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/-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Mario Carneiro, Patrick Massot
-/
import Mathlib.Order.Filter.SmallSets
import Mathlib.Tactic.Monotonicity
import Mathlib.Topology.Compactness.Compact
import Mathlib.Topology.NhdsSet
import Mathlib.Algebra.Group.Defs
#align_import topology.uniform_space.basic from "leanprover-community/mathlib"@"195fcd60ff2bfe392543bceb0ec2adcdb472db4c"
/-!
# Uniform spaces
Uniform spaces are a generalization of metric spaces and topological groups. Many concepts directly
generalize to uniform spaces, e.g.
* uniform continuity (in this file)
* completeness (in `Cauchy.lean`)
* extension of uniform continuous functions to complete spaces (in `UniformEmbedding.lean`)
* totally bounded sets (in `Cauchy.lean`)
* totally bounded complete sets are compact (in `Cauchy.lean`)
A uniform structure on a type `X` is a filter `𝓤 X` on `X × X` satisfying some conditions
which makes it reasonable to say that `∀ᶠ (p : X × X) in 𝓤 X, ...` means
"for all p.1 and p.2 in X close enough, ...". Elements of this filter are called entourages
of `X`. The two main examples are:
* If `X` is a metric space, `V ∈ 𝓤 X ↔ ∃ ε > 0, { p | dist p.1 p.2 < ε } ⊆ V`
* If `G` is an additive topological group, `V ∈ 𝓤 G ↔ ∃ U ∈ 𝓝 (0 : G), {p | p.2 - p.1 ∈ U} ⊆ V`
Those examples are generalizations in two different directions of the elementary example where
`X = ℝ` and `V ∈ 𝓤 ℝ ↔ ∃ ε > 0, { p | |p.2 - p.1| < ε } ⊆ V` which features both the topological
group structure on `ℝ` and its metric space structure.
Each uniform structure on `X` induces a topology on `X` characterized by
> `nhds_eq_comap_uniformity : ∀ {x : X}, 𝓝 x = comap (Prod.mk x) (𝓤 X)`
where `Prod.mk x : X → X × X := (fun y ↦ (x, y))` is the partial evaluation of the product
constructor.
The dictionary with metric spaces includes:
* an upper bound for `dist x y` translates into `(x, y) ∈ V` for some `V ∈ 𝓤 X`
* a ball `ball x r` roughly corresponds to `UniformSpace.ball x V := {y | (x, y) ∈ V}`
for some `V ∈ 𝓤 X`, but the later is more general (it includes in
particular both open and closed balls for suitable `V`).
In particular we have:
`isOpen_iff_ball_subset {s : Set X} : IsOpen s ↔ ∀ x ∈ s, ∃ V ∈ 𝓤 X, ball x V ⊆ s`
The triangle inequality is abstracted to a statement involving the composition of relations in `X`.
First note that the triangle inequality in a metric space is equivalent to
`∀ (x y z : X) (r r' : ℝ), dist x y ≤ r → dist y z ≤ r' → dist x z ≤ r + r'`.
Then, for any `V` and `W` with type `Set (X × X)`, the composition `V ○ W : Set (X × X)` is
defined as `{ p : X × X | ∃ z, (p.1, z) ∈ V ∧ (z, p.2) ∈ W }`.
In the metric space case, if `V = { p | dist p.1 p.2 ≤ r }` and `W = { p | dist p.1 p.2 ≤ r' }`
then the triangle inequality, as reformulated above, says `V ○ W` is contained in
`{p | dist p.1 p.2 ≤ r + r'}` which is the entourage associated to the radius `r + r'`.
In general we have `mem_ball_comp (h : y ∈ ball x V) (h' : z ∈ ball y W) : z ∈ ball x (V ○ W)`.
Note that this discussion does not depend on any axiom imposed on the uniformity filter,
it is simply captured by the definition of composition.
The uniform space axioms ask the filter `𝓤 X` to satisfy the following:
* every `V ∈ 𝓤 X` contains the diagonal `idRel = { p | p.1 = p.2 }`. This abstracts the fact
that `dist x x ≤ r` for every non-negative radius `r` in the metric space case and also that
`x - x` belongs to every neighborhood of zero in the topological group case.
* `V ∈ 𝓤 X → Prod.swap '' V ∈ 𝓤 X`. This is tightly related the fact that `dist x y = dist y x`
in a metric space, and to continuity of negation in the topological group case.
* `∀ V ∈ 𝓤 X, ∃ W ∈ 𝓤 X, W ○ W ⊆ V`. In the metric space case, it corresponds
to cutting the radius of a ball in half and applying the triangle inequality.
In the topological group case, it comes from continuity of addition at `(0, 0)`.
These three axioms are stated more abstractly in the definition below, in terms of
operations on filters, without directly manipulating entourages.
## Main definitions
* `UniformSpace X` is a uniform space structure on a type `X`
* `UniformContinuous f` is a predicate saying a function `f : α → β` between uniform spaces
is uniformly continuous : `∀ r ∈ 𝓤 β, ∀ᶠ (x : α × α) in 𝓤 α, (f x.1, f x.2) ∈ r`
In this file we also define a complete lattice structure on the type `UniformSpace X`
of uniform structures on `X`, as well as the pullback (`UniformSpace.comap`) of uniform structures
coming from the pullback of filters.
Like distance functions, uniform structures cannot be pushed forward in general.
## Notations
Localized in `Uniformity`, we have the notation `𝓤 X` for the uniformity on a uniform space `X`,
and `○` for composition of relations, seen as terms with type `Set (X × X)`.
## Implementation notes
There is already a theory of relations in `Data/Rel.lean` where the main definition is
`def Rel (α β : Type*) := α → β → Prop`.
The relations used in the current file involve only one type, but this is not the reason why
we don't reuse `Data/Rel.lean`. We use `Set (α × α)`
instead of `Rel α α` because we really need sets to use the filter library, and elements
of filters on `α × α` have type `Set (α × α)`.
The structure `UniformSpace X` bundles a uniform structure on `X`, a topology on `X` and
an assumption saying those are compatible. This may not seem mathematically reasonable at first,
but is in fact an instance of the forgetful inheritance pattern. See Note [forgetful inheritance]
below.
## References
The formalization uses the books:
* [N. Bourbaki, *General Topology*][bourbaki1966]
* [I. M. James, *Topologies and Uniformities*][james1999]
But it makes a more systematic use of the filter library.
-/
open Set Filter Topology
universe u v ua ub uc ud
/-!
### Relations, seen as `Set (α × α)`
-/
variable {α : Type ua} {β : Type ub} {γ : Type uc} {δ : Type ud} {ι : Sort*}
/-- The identity relation, or the graph of the identity function -/
def idRel {α : Type*} :=
{ p : α × α | p.1 = p.2 }
#align id_rel idRel
@[simp]
theorem mem_idRel {a b : α} : (a, b) ∈ @idRel α ↔ a = b :=
Iff.rfl
#align mem_id_rel mem_idRel
@[simp]
theorem idRel_subset {s : Set (α × α)} : idRel ⊆ s ↔ ∀ a, (a, a) ∈ s := by
simp [subset_def]
#align id_rel_subset idRel_subset
/-- The composition of relations -/
def compRel (r₁ r₂ : Set (α × α)) :=
{ p : α × α | ∃ z : α, (p.1, z) ∈ r₁ ∧ (z, p.2) ∈ r₂ }
#align comp_rel compRel
@[inherit_doc]
scoped[Uniformity] infixl:62 " ○ " => compRel
open Uniformity
@[simp]
theorem mem_compRel {α : Type u} {r₁ r₂ : Set (α × α)} {x y : α} :
(x, y) ∈ r₁ ○ r₂ ↔ ∃ z, (x, z) ∈ r₁ ∧ (z, y) ∈ r₂ :=
Iff.rfl
#align mem_comp_rel mem_compRel
@[simp]
theorem swap_idRel : Prod.swap '' idRel = @idRel α :=
Set.ext fun ⟨a, b⟩ => by simpa [image_swap_eq_preimage_swap] using eq_comm
#align swap_id_rel swap_idRel
theorem Monotone.compRel [Preorder β] {f g : β → Set (α × α)} (hf : Monotone f) (hg : Monotone g) :
Monotone fun x => f x ○ g x := fun _ _ h _ ⟨z, h₁, h₂⟩ => ⟨z, hf h h₁, hg h h₂⟩
#align monotone.comp_rel Monotone.compRel
@[mono]
theorem compRel_mono {f g h k : Set (α × α)} (h₁ : f ⊆ h) (h₂ : g ⊆ k) : f ○ g ⊆ h ○ k :=
fun _ ⟨z, h, h'⟩ => ⟨z, h₁ h, h₂ h'⟩
#align comp_rel_mono compRel_mono
theorem prod_mk_mem_compRel {a b c : α} {s t : Set (α × α)} (h₁ : (a, c) ∈ s) (h₂ : (c, b) ∈ t) :
(a, b) ∈ s ○ t :=
⟨c, h₁, h₂⟩
#align prod_mk_mem_comp_rel prod_mk_mem_compRel
@[simp]
theorem id_compRel {r : Set (α × α)} : idRel ○ r = r :=
Set.ext fun ⟨a, b⟩ => by simp
#align id_comp_rel id_compRel
theorem compRel_assoc {r s t : Set (α × α)} : r ○ s ○ t = r ○ (s ○ t) := by
ext ⟨a, b⟩; simp only [mem_compRel]; tauto
#align comp_rel_assoc compRel_assoc
theorem left_subset_compRel {s t : Set (α × α)} (h : idRel ⊆ t) : s ⊆ s ○ t := fun ⟨_x, y⟩ xy_in =>
⟨y, xy_in, h <| rfl⟩
#align left_subset_comp_rel left_subset_compRel
theorem right_subset_compRel {s t : Set (α × α)} (h : idRel ⊆ s) : t ⊆ s ○ t := fun ⟨x, _y⟩ xy_in =>
⟨x, h <| rfl, xy_in⟩
#align right_subset_comp_rel right_subset_compRel
theorem subset_comp_self {s : Set (α × α)} (h : idRel ⊆ s) : s ⊆ s ○ s :=
left_subset_compRel h
#align subset_comp_self subset_comp_self
theorem subset_iterate_compRel {s t : Set (α × α)} (h : idRel ⊆ s) (n : ℕ) :
t ⊆ (s ○ ·)^[n] t := by
induction' n with n ihn generalizing t
exacts [Subset.rfl, (right_subset_compRel h).trans ihn]
#align subset_iterate_comp_rel subset_iterate_compRel
/-- The relation is invariant under swapping factors. -/
def SymmetricRel (V : Set (α × α)) : Prop :=
Prod.swap ⁻¹' V = V
#align symmetric_rel SymmetricRel
/-- The maximal symmetric relation contained in a given relation. -/
def symmetrizeRel (V : Set (α × α)) : Set (α × α) :=
V ∩ Prod.swap ⁻¹' V
#align symmetrize_rel symmetrizeRel
theorem symmetric_symmetrizeRel (V : Set (α × α)) : SymmetricRel (symmetrizeRel V) := by
simp [SymmetricRel, symmetrizeRel, preimage_inter, inter_comm, ← preimage_comp]
#align symmetric_symmetrize_rel symmetric_symmetrizeRel
theorem symmetrizeRel_subset_self (V : Set (α × α)) : symmetrizeRel V ⊆ V :=
sep_subset _ _
#align symmetrize_rel_subset_self symmetrizeRel_subset_self
@[mono]
theorem symmetrize_mono {V W : Set (α × α)} (h : V ⊆ W) : symmetrizeRel V ⊆ symmetrizeRel W :=
inter_subset_inter h <| preimage_mono h
#align symmetrize_mono symmetrize_mono
theorem SymmetricRel.mk_mem_comm {V : Set (α × α)} (hV : SymmetricRel V) {x y : α} :
(x, y) ∈ V ↔ (y, x) ∈ V :=
Set.ext_iff.1 hV (y, x)
#align symmetric_rel.mk_mem_comm SymmetricRel.mk_mem_comm
theorem SymmetricRel.eq {U : Set (α × α)} (hU : SymmetricRel U) : Prod.swap ⁻¹' U = U :=
hU
#align symmetric_rel.eq SymmetricRel.eq
theorem SymmetricRel.inter {U V : Set (α × α)} (hU : SymmetricRel U) (hV : SymmetricRel V) :
SymmetricRel (U ∩ V) := by rw [SymmetricRel, preimage_inter, hU.eq, hV.eq]
#align symmetric_rel.inter SymmetricRel.inter
/-- This core description of a uniform space is outside of the type class hierarchy. It is useful
for constructions of uniform spaces, when the topology is derived from the uniform space. -/
structure UniformSpace.Core (α : Type u) where
/-- The uniformity filter. Once `UniformSpace` is defined, `𝓤 α` (`_root_.uniformity`) becomes the
normal form. -/
uniformity : Filter (α × α)
/-- Every set in the uniformity filter includes the diagonal. -/
refl : 𝓟 idRel ≤ uniformity
/-- If `s ∈ uniformity`, then `Prod.swap ⁻¹' s ∈ uniformity`. -/
symm : Tendsto Prod.swap uniformity uniformity
/-- For every set `u ∈ uniformity`, there exists `v ∈ uniformity` such that `v ○ v ⊆ u`. -/
comp : (uniformity.lift' fun s => s ○ s) ≤ uniformity
#align uniform_space.core UniformSpace.Core
protected theorem UniformSpace.Core.comp_mem_uniformity_sets {c : Core α} {s : Set (α × α)}
(hs : s ∈ c.uniformity) : ∃ t ∈ c.uniformity, t ○ t ⊆ s :=
(mem_lift'_sets <| monotone_id.compRel monotone_id).mp <| c.comp hs
/-- An alternative constructor for `UniformSpace.Core`. This version unfolds various
`Filter`-related definitions. -/
def UniformSpace.Core.mk' {α : Type u} (U : Filter (α × α)) (refl : ∀ r ∈ U, ∀ (x), (x, x) ∈ r)
(symm : ∀ r ∈ U, Prod.swap ⁻¹' r ∈ U) (comp : ∀ r ∈ U, ∃ t ∈ U, t ○ t ⊆ r) :
UniformSpace.Core α :=
⟨U, fun _r ru => idRel_subset.2 (refl _ ru), symm, fun _r ru =>
let ⟨_s, hs, hsr⟩ := comp _ ru
mem_of_superset (mem_lift' hs) hsr⟩
#align uniform_space.core.mk' UniformSpace.Core.mk'
/-- Defining a `UniformSpace.Core` from a filter basis satisfying some uniformity-like axioms. -/
def UniformSpace.Core.mkOfBasis {α : Type u} (B : FilterBasis (α × α))
(refl : ∀ r ∈ B, ∀ (x), (x, x) ∈ r) (symm : ∀ r ∈ B, ∃ t ∈ B, t ⊆ Prod.swap ⁻¹' r)
(comp : ∀ r ∈ B, ∃ t ∈ B, t ○ t ⊆ r) : UniformSpace.Core α where
uniformity := B.filter
refl := B.hasBasis.ge_iff.mpr fun _r ru => idRel_subset.2 <| refl _ ru
symm := (B.hasBasis.tendsto_iff B.hasBasis).mpr symm
comp := (HasBasis.le_basis_iff (B.hasBasis.lift' (monotone_id.compRel monotone_id))
B.hasBasis).2 comp
#align uniform_space.core.mk_of_basis UniformSpace.Core.mkOfBasis
/-- A uniform space generates a topological space -/
def UniformSpace.Core.toTopologicalSpace {α : Type u} (u : UniformSpace.Core α) :
TopologicalSpace α :=
.mkOfNhds fun x ↦ .comap (Prod.mk x) u.uniformity
#align uniform_space.core.to_topological_space UniformSpace.Core.toTopologicalSpace
theorem UniformSpace.Core.ext :
∀ {u₁ u₂ : UniformSpace.Core α}, u₁.uniformity = u₂.uniformity → u₁ = u₂
| ⟨_, _, _, _⟩, ⟨_, _, _, _⟩, rfl => rfl
#align uniform_space.core_eq UniformSpace.Core.ext
theorem UniformSpace.Core.nhds_toTopologicalSpace {α : Type u} (u : Core α) (x : α) :
@nhds α u.toTopologicalSpace x = comap (Prod.mk x) u.uniformity := by
apply TopologicalSpace.nhds_mkOfNhds_of_hasBasis (fun _ ↦ (basis_sets _).comap _)
· exact fun a U hU ↦ u.refl hU rfl
· intro a U hU
rcases u.comp_mem_uniformity_sets hU with ⟨V, hV, hVU⟩
filter_upwards [preimage_mem_comap hV] with b hb
filter_upwards [preimage_mem_comap hV] with c hc
exact hVU ⟨b, hb, hc⟩
-- the topological structure is embedded in the uniform structure
-- to avoid instance diamond issues. See Note [forgetful inheritance].
/-- A uniform space is a generalization of the "uniform" topological aspects of a
metric space. It consists of a filter on `α × α` called the "uniformity", which
satisfies properties analogous to the reflexivity, symmetry, and triangle properties
of a metric.
A metric space has a natural uniformity, and a uniform space has a natural topology.
A topological group also has a natural uniformity, even when it is not metrizable. -/
class UniformSpace (α : Type u) extends TopologicalSpace α where
/-- The uniformity filter. -/
protected uniformity : Filter (α × α)
/-- If `s ∈ uniformity`, then `Prod.swap ⁻¹' s ∈ uniformity`. -/
protected symm : Tendsto Prod.swap uniformity uniformity
/-- For every set `u ∈ uniformity`, there exists `v ∈ uniformity` such that `v ○ v ⊆ u`. -/
protected comp : (uniformity.lift' fun s => s ○ s) ≤ uniformity
/-- The uniformity agrees with the topology: the neighborhoods filter of each point `x`
is equal to `Filter.comap (Prod.mk x) (𝓤 α)`. -/
protected nhds_eq_comap_uniformity (x : α) : 𝓝 x = comap (Prod.mk x) uniformity
#align uniform_space UniformSpace
#noalign uniform_space.mk' -- Can't be a `match_pattern`, so not useful anymore
/-- The uniformity is a filter on α × α (inferred from an ambient uniform space
structure on α). -/
def uniformity (α : Type u) [UniformSpace α] : Filter (α × α) :=
@UniformSpace.uniformity α _
#align uniformity uniformity
/-- Notation for the uniformity filter with respect to a non-standard `UniformSpace` instance. -/
scoped[Uniformity] notation "𝓤[" u "]" => @uniformity _ u
@[inherit_doc] -- Porting note (#11215): TODO: should we drop the `uniformity` def?
scoped[Uniformity] notation "𝓤" => uniformity
/-- Construct a `UniformSpace` from a `u : UniformSpace.Core` and a `TopologicalSpace` structure
that is equal to `u.toTopologicalSpace`. -/
abbrev UniformSpace.ofCoreEq {α : Type u} (u : UniformSpace.Core α) (t : TopologicalSpace α)
(h : t = u.toTopologicalSpace) : UniformSpace α where
__ := u
toTopologicalSpace := t
nhds_eq_comap_uniformity x := by rw [h, u.nhds_toTopologicalSpace]
#align uniform_space.of_core_eq UniformSpace.ofCoreEq
/-- Construct a `UniformSpace` from a `UniformSpace.Core`. -/
abbrev UniformSpace.ofCore {α : Type u} (u : UniformSpace.Core α) : UniformSpace α :=
.ofCoreEq u _ rfl
#align uniform_space.of_core UniformSpace.ofCore
/-- Construct a `UniformSpace.Core` from a `UniformSpace`. -/
abbrev UniformSpace.toCore (u : UniformSpace α) : UniformSpace.Core α where
__ := u
refl := by
rintro U hU ⟨x, y⟩ (rfl : x = y)
have : Prod.mk x ⁻¹' U ∈ 𝓝 x := by
rw [UniformSpace.nhds_eq_comap_uniformity]
exact preimage_mem_comap hU
convert mem_of_mem_nhds this
theorem UniformSpace.toCore_toTopologicalSpace (u : UniformSpace α) :
u.toCore.toTopologicalSpace = u.toTopologicalSpace :=
TopologicalSpace.ext_nhds fun a ↦ by
rw [u.nhds_eq_comap_uniformity, u.toCore.nhds_toTopologicalSpace]
#align uniform_space.to_core_to_topological_space UniformSpace.toCore_toTopologicalSpace
/-- Build a `UniformSpace` from a `UniformSpace.Core` and a compatible topology.
Use `UniformSpace.mk` instead to avoid proving
the unnecessary assumption `UniformSpace.Core.refl`.
The main constructor used to use a different compatibility assumption.
This definition was created as a step towards porting to a new definition.
Now the main definition is ported,
so this constructor will be removed in a few months. -/
@[deprecated UniformSpace.mk (since := "2024-03-20")]
def UniformSpace.ofNhdsEqComap (u : UniformSpace.Core α) (_t : TopologicalSpace α)
(h : ∀ x, 𝓝 x = u.uniformity.comap (Prod.mk x)) : UniformSpace α where
__ := u
nhds_eq_comap_uniformity := h
@[ext]
protected theorem UniformSpace.ext {u₁ u₂ : UniformSpace α} (h : 𝓤[u₁] = 𝓤[u₂]) : u₁ = u₂ := by
have : u₁.toTopologicalSpace = u₂.toTopologicalSpace := TopologicalSpace.ext_nhds fun x ↦ by
rw [u₁.nhds_eq_comap_uniformity, u₂.nhds_eq_comap_uniformity]
exact congr_arg (comap _) h
cases u₁; cases u₂; congr
#align uniform_space_eq UniformSpace.ext
protected theorem UniformSpace.ext_iff {u₁ u₂ : UniformSpace α} :
u₁ = u₂ ↔ ∀ s, s ∈ 𝓤[u₁] ↔ s ∈ 𝓤[u₂] :=
⟨fun h _ => h ▸ Iff.rfl, fun h => by ext; exact h _⟩
theorem UniformSpace.ofCoreEq_toCore (u : UniformSpace α) (t : TopologicalSpace α)
(h : t = u.toCore.toTopologicalSpace) : .ofCoreEq u.toCore t h = u :=
UniformSpace.ext rfl
#align uniform_space.of_core_eq_to_core UniformSpace.ofCoreEq_toCore
/-- Replace topology in a `UniformSpace` instance with a propositionally (but possibly not
definitionally) equal one. -/
abbrev UniformSpace.replaceTopology {α : Type*} [i : TopologicalSpace α] (u : UniformSpace α)
(h : i = u.toTopologicalSpace) : UniformSpace α where
__ := u
toTopologicalSpace := i
nhds_eq_comap_uniformity x := by rw [h, u.nhds_eq_comap_uniformity]
#align uniform_space.replace_topology UniformSpace.replaceTopology
theorem UniformSpace.replaceTopology_eq {α : Type*} [i : TopologicalSpace α] (u : UniformSpace α)
(h : i = u.toTopologicalSpace) : u.replaceTopology h = u :=
UniformSpace.ext rfl
#align uniform_space.replace_topology_eq UniformSpace.replaceTopology_eq
-- Porting note: rfc: use `UniformSpace.Core.mkOfBasis`? This will change defeq here and there
/-- Define a `UniformSpace` using a "distance" function. The function can be, e.g., the
distance in a (usual or extended) metric space or an absolute value on a ring. -/
def UniformSpace.ofFun {α : Type u} {β : Type v} [OrderedAddCommMonoid β]
(d : α → α → β) (refl : ∀ x, d x x = 0) (symm : ∀ x y, d x y = d y x)
(triangle : ∀ x y z, d x z ≤ d x y + d y z)
(half : ∀ ε > (0 : β), ∃ δ > (0 : β), ∀ x < δ, ∀ y < δ, x + y < ε) :
UniformSpace α :=
.ofCore
{ uniformity := ⨅ r > 0, 𝓟 { x | d x.1 x.2 < r }
refl := le_iInf₂ fun r hr => principal_mono.2 <| idRel_subset.2 fun x => by simpa [refl]
symm := tendsto_iInf_iInf fun r => tendsto_iInf_iInf fun _ => tendsto_principal_principal.2
fun x hx => by rwa [mem_setOf, symm]
comp := le_iInf₂ fun r hr => let ⟨δ, h0, hδr⟩ := half r hr; le_principal_iff.2 <|
mem_of_superset
(mem_lift' <| mem_iInf_of_mem δ <| mem_iInf_of_mem h0 <| mem_principal_self _)
fun (x, z) ⟨y, h₁, h₂⟩ => (triangle _ _ _).trans_lt (hδr _ h₁ _ h₂) }
#align uniform_space.of_fun UniformSpace.ofFun
theorem UniformSpace.hasBasis_ofFun {α : Type u} {β : Type v} [LinearOrderedAddCommMonoid β]
(h₀ : ∃ x : β, 0 < x) (d : α → α → β) (refl : ∀ x, d x x = 0) (symm : ∀ x y, d x y = d y x)
(triangle : ∀ x y z, d x z ≤ d x y + d y z)
(half : ∀ ε > (0 : β), ∃ δ > (0 : β), ∀ x < δ, ∀ y < δ, x + y < ε) :
𝓤[.ofFun d refl symm triangle half].HasBasis ((0 : β) < ·) (fun ε => { x | d x.1 x.2 < ε }) :=
hasBasis_biInf_principal'
(fun ε₁ h₁ ε₂ h₂ => ⟨min ε₁ ε₂, lt_min h₁ h₂, fun _x hx => lt_of_lt_of_le hx (min_le_left _ _),
fun _x hx => lt_of_lt_of_le hx (min_le_right _ _)⟩) h₀
#align uniform_space.has_basis_of_fun UniformSpace.hasBasis_ofFun
section UniformSpace
variable [UniformSpace α]
theorem nhds_eq_comap_uniformity {x : α} : 𝓝 x = (𝓤 α).comap (Prod.mk x) :=
UniformSpace.nhds_eq_comap_uniformity x
#align nhds_eq_comap_uniformity nhds_eq_comap_uniformity
theorem isOpen_uniformity {s : Set α} :
IsOpen s ↔ ∀ x ∈ s, { p : α × α | p.1 = x → p.2 ∈ s } ∈ 𝓤 α := by
simp only [isOpen_iff_mem_nhds, nhds_eq_comap_uniformity, mem_comap_prod_mk]
#align is_open_uniformity isOpen_uniformity
theorem refl_le_uniformity : 𝓟 idRel ≤ 𝓤 α :=
(@UniformSpace.toCore α _).refl
#align refl_le_uniformity refl_le_uniformity
instance uniformity.neBot [Nonempty α] : NeBot (𝓤 α) :=
diagonal_nonempty.principal_neBot.mono refl_le_uniformity
#align uniformity.ne_bot uniformity.neBot
theorem refl_mem_uniformity {x : α} {s : Set (α × α)} (h : s ∈ 𝓤 α) : (x, x) ∈ s :=
refl_le_uniformity h rfl
#align refl_mem_uniformity refl_mem_uniformity
theorem mem_uniformity_of_eq {x y : α} {s : Set (α × α)} (h : s ∈ 𝓤 α) (hx : x = y) : (x, y) ∈ s :=
refl_le_uniformity h hx
#align mem_uniformity_of_eq mem_uniformity_of_eq
theorem symm_le_uniformity : map (@Prod.swap α α) (𝓤 _) ≤ 𝓤 _ :=
UniformSpace.symm
#align symm_le_uniformity symm_le_uniformity
theorem comp_le_uniformity : ((𝓤 α).lift' fun s : Set (α × α) => s ○ s) ≤ 𝓤 α :=
UniformSpace.comp
#align comp_le_uniformity comp_le_uniformity
theorem lift'_comp_uniformity : ((𝓤 α).lift' fun s : Set (α × α) => s ○ s) = 𝓤 α :=
comp_le_uniformity.antisymm <| le_lift'.2 fun _s hs ↦ mem_of_superset hs <|
subset_comp_self <| idRel_subset.2 fun _ ↦ refl_mem_uniformity hs
theorem tendsto_swap_uniformity : Tendsto (@Prod.swap α α) (𝓤 α) (𝓤 α) :=
symm_le_uniformity
#align tendsto_swap_uniformity tendsto_swap_uniformity
theorem comp_mem_uniformity_sets {s : Set (α × α)} (hs : s ∈ 𝓤 α) : ∃ t ∈ 𝓤 α, t ○ t ⊆ s :=
(mem_lift'_sets <| monotone_id.compRel monotone_id).mp <| comp_le_uniformity hs
#align comp_mem_uniformity_sets comp_mem_uniformity_sets
/-- If `s ∈ 𝓤 α`, then for any natural `n`, for a subset `t` of a sufficiently small set in `𝓤 α`,
we have `t ○ t ○ ... ○ t ⊆ s` (`n` compositions). -/
theorem eventually_uniformity_iterate_comp_subset {s : Set (α × α)} (hs : s ∈ 𝓤 α) (n : ℕ) :
∀ᶠ t in (𝓤 α).smallSets, (t ○ ·)^[n] t ⊆ s := by
suffices ∀ᶠ t in (𝓤 α).smallSets, t ⊆ s ∧ (t ○ ·)^[n] t ⊆ s from (eventually_and.1 this).2
induction' n with n ihn generalizing s
· simpa
rcases comp_mem_uniformity_sets hs with ⟨t, htU, hts⟩
refine (ihn htU).mono fun U hU => ?_
rw [Function.iterate_succ_apply']
exact
⟨hU.1.trans <| (subset_comp_self <| refl_le_uniformity htU).trans hts,
(compRel_mono hU.1 hU.2).trans hts⟩
#align eventually_uniformity_iterate_comp_subset eventually_uniformity_iterate_comp_subset
/-- If `s ∈ 𝓤 α`, then for a subset `t` of a sufficiently small set in `𝓤 α`,
we have `t ○ t ⊆ s`. -/
theorem eventually_uniformity_comp_subset {s : Set (α × α)} (hs : s ∈ 𝓤 α) :
∀ᶠ t in (𝓤 α).smallSets, t ○ t ⊆ s :=
eventually_uniformity_iterate_comp_subset hs 1
#align eventually_uniformity_comp_subset eventually_uniformity_comp_subset
/-- Relation `fun f g ↦ Tendsto (fun x ↦ (f x, g x)) l (𝓤 α)` is transitive. -/
theorem Filter.Tendsto.uniformity_trans {l : Filter β} {f₁ f₂ f₃ : β → α}
(h₁₂ : Tendsto (fun x => (f₁ x, f₂ x)) l (𝓤 α))
(h₂₃ : Tendsto (fun x => (f₂ x, f₃ x)) l (𝓤 α)) : Tendsto (fun x => (f₁ x, f₃ x)) l (𝓤 α) := by
refine le_trans (le_lift'.2 fun s hs => mem_map.2 ?_) comp_le_uniformity
filter_upwards [mem_map.1 (h₁₂ hs), mem_map.1 (h₂₃ hs)] with x hx₁₂ hx₂₃ using ⟨_, hx₁₂, hx₂₃⟩
#align filter.tendsto.uniformity_trans Filter.Tendsto.uniformity_trans
/-- Relation `fun f g ↦ Tendsto (fun x ↦ (f x, g x)) l (𝓤 α)` is symmetric. -/
theorem Filter.Tendsto.uniformity_symm {l : Filter β} {f : β → α × α} (h : Tendsto f l (𝓤 α)) :
Tendsto (fun x => ((f x).2, (f x).1)) l (𝓤 α) :=
tendsto_swap_uniformity.comp h
#align filter.tendsto.uniformity_symm Filter.Tendsto.uniformity_symm
/-- Relation `fun f g ↦ Tendsto (fun x ↦ (f x, g x)) l (𝓤 α)` is reflexive. -/
theorem tendsto_diag_uniformity (f : β → α) (l : Filter β) :
Tendsto (fun x => (f x, f x)) l (𝓤 α) := fun _s hs =>
mem_map.2 <| univ_mem' fun _ => refl_mem_uniformity hs
#align tendsto_diag_uniformity tendsto_diag_uniformity
theorem tendsto_const_uniformity {a : α} {f : Filter β} : Tendsto (fun _ => (a, a)) f (𝓤 α) :=
tendsto_diag_uniformity (fun _ => a) f
#align tendsto_const_uniformity tendsto_const_uniformity
theorem symm_of_uniformity {s : Set (α × α)} (hs : s ∈ 𝓤 α) :
∃ t ∈ 𝓤 α, (∀ a b, (a, b) ∈ t → (b, a) ∈ t) ∧ t ⊆ s :=
have : preimage Prod.swap s ∈ 𝓤 α := symm_le_uniformity hs
⟨s ∩ preimage Prod.swap s, inter_mem hs this, fun _ _ ⟨h₁, h₂⟩ => ⟨h₂, h₁⟩, inter_subset_left⟩
#align symm_of_uniformity symm_of_uniformity
theorem comp_symm_of_uniformity {s : Set (α × α)} (hs : s ∈ 𝓤 α) :
∃ t ∈ 𝓤 α, (∀ {a b}, (a, b) ∈ t → (b, a) ∈ t) ∧ t ○ t ⊆ s :=
let ⟨_t, ht₁, ht₂⟩ := comp_mem_uniformity_sets hs
let ⟨t', ht', ht'₁, ht'₂⟩ := symm_of_uniformity ht₁
⟨t', ht', ht'₁ _ _, Subset.trans (monotone_id.compRel monotone_id ht'₂) ht₂⟩
#align comp_symm_of_uniformity comp_symm_of_uniformity
| Mathlib/Topology/UniformSpace/Basic.lean | 548 | 549 | theorem uniformity_le_symm : 𝓤 α ≤ @Prod.swap α α <$> 𝓤 α := by |
rw [map_swap_eq_comap_swap]; exact tendsto_swap_uniformity.le_comap
|
/-
Copyright (c) 2022 Jakob von Raumer. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jakob von Raumer, Kevin Klinge, Andrew Yang
-/
import Mathlib.RingTheory.OreLocalization.OreSet
import Mathlib.Algebra.Group.Submonoid.Operations
#align_import ring_theory.ore_localization.basic from "leanprover-community/mathlib"@"861a26926586cd46ff80264d121cdb6fa0e35cc1"
/-!
# Localization over left Ore sets.
This file defines the localization of a monoid over a left Ore set and proves its universal
mapping property.
## Notations
Introduces the notation `R[S⁻¹]` for the Ore localization of a monoid `R` at a right Ore
subset `S`. Also defines a new heterogeneous division notation `r /ₒ s` for a numerator `r : R` and
a denominator `s : S`.
## References
* <https://ncatlab.org/nlab/show/Ore+localization>
* [Zoran Škoda, *Noncommutative localization in noncommutative geometry*][skoda2006]
## Tags
localization, Ore, non-commutative
-/
universe u
open OreLocalization
namespace OreLocalization
variable {R : Type*} [Monoid R] (S : Submonoid R) [OreSet S] (X) [MulAction R X]
/-- The setoid on `R × S` used for the Ore localization. -/
@[to_additive AddOreLocalization.oreEqv "The setoid on `R × S` used for the Ore localization."]
def oreEqv : Setoid (X × S) where
r rs rs' := ∃ (u : S) (v : R), u • rs'.1 = v • rs.1 ∧ u * rs'.2 = v * rs.2
iseqv := by
refine ⟨fun _ => ⟨1, 1, by simp⟩, ?_, ?_⟩
· rintro ⟨r, s⟩ ⟨r', s'⟩ ⟨u, v, hru, hsu⟩; dsimp only at *
rcases oreCondition (s : R) s' with ⟨r₂, s₂, h₁⟩
rcases oreCondition r₂ u with ⟨r₃, s₃, h₂⟩
have : r₃ * v * s = s₃ * s₂ * s := by
-- Porting note: the proof used `assoc_rw`
rw [mul_assoc _ (s₂ : R), h₁, ← mul_assoc, h₂, mul_assoc, ← hsu, ← mul_assoc]
rcases ore_right_cancel (r₃ * v) (s₃ * s₂) s this with ⟨w, hw⟩
refine ⟨w * (s₃ * s₂), w * (r₃ * u), ?_, ?_⟩ <;>
simp only [Submonoid.coe_mul, Submonoid.smul_def, ← hw]
· simp only [mul_smul, hru, ← Submonoid.smul_def]
· simp only [mul_assoc, hsu]
· rintro ⟨r₁, s₁⟩ ⟨r₂, s₂⟩ ⟨r₃, s₃⟩ ⟨u, v, hur₁, hs₁u⟩ ⟨u', v', hur₂, hs₂u⟩
rcases oreCondition v' u with ⟨r', s', h⟩; dsimp only at *
refine ⟨s' * u', r' * v, ?_, ?_⟩ <;>
simp only [Submonoid.smul_def, Submonoid.coe_mul, mul_smul, mul_assoc] at *
· rw [hur₂, smul_smul, h, mul_smul, hur₁]
· rw [hs₂u, ← mul_assoc, h, mul_assoc, hs₁u]
#align ore_localization.ore_eqv OreLocalization.oreEqv
end OreLocalization
/-- The Ore localization of a monoid and a submonoid fulfilling the Ore condition. -/
@[to_additive AddOreLocalization "The Ore localization of an additive monoid and a submonoid
fulfilling the Ore condition."]
def OreLocalization {R : Type*} [Monoid R] (S : Submonoid R) [OreSet S]
(X : Type*) [MulAction R X] :=
Quotient (OreLocalization.oreEqv S X)
#align ore_localization OreLocalization
namespace OreLocalization
section Monoid
variable {R : Type*} [Monoid R] {S : Submonoid R}
variable (R S) [OreSet S]
@[inherit_doc OreLocalization]
scoped syntax:1075 term noWs atomic("[" term "⁻¹" noWs "]") : term
macro_rules | `($R[$S⁻¹]) => ``(OreLocalization $S $R)
attribute [local instance] oreEqv
variable {R S}
variable {X} [MulAction R X]
/-- The division in the Ore localization `X[S⁻¹]`, as a fraction of an element of `X` and `S`. -/
@[to_additive "The subtraction in the Ore localization,
as a difference of an element of `X` and `S`."]
def oreDiv (r : X) (s : S) : X[S⁻¹] :=
Quotient.mk' (r, s)
#align ore_localization.ore_div OreLocalization.oreDiv
@[inherit_doc]
infixl:70 " /ₒ " => oreDiv
@[inherit_doc]
infixl:65 " -ₒ " => _root_.AddOreLocalization.oreSub
@[to_additive (attr := elab_as_elim)]
protected theorem ind {β : X[S⁻¹] → Prop}
(c : ∀ (r : X) (s : S), β (r /ₒ s)) : ∀ q, β q := by
apply Quotient.ind
rintro ⟨r, s⟩
exact c r s
#align ore_localization.ind OreLocalization.ind
@[to_additive]
theorem oreDiv_eq_iff {r₁ r₂ : X} {s₁ s₂ : S} :
r₁ /ₒ s₁ = r₂ /ₒ s₂ ↔ ∃ (u : S) (v : R), u • r₂ = v • r₁ ∧ u * s₂ = v * s₁ :=
Quotient.eq''
#align ore_localization.ore_div_eq_iff OreLocalization.oreDiv_eq_iff
/-- A fraction `r /ₒ s` is equal to its expansion by an arbitrary factor `t` if `t * s ∈ S`. -/
@[to_additive "A difference `r -ₒ s` is equal to its expansion by an
arbitrary translation `t` if `t + s ∈ S`."]
protected theorem expand (r : X) (s : S) (t : R) (hst : t * (s : R) ∈ S) :
r /ₒ s = t • r /ₒ ⟨t * s, hst⟩ := by
apply Quotient.sound
exact ⟨s, s * t, by rw [mul_smul, Submonoid.smul_def], by rw [← mul_assoc]⟩
#align ore_localization.expand OreLocalization.expand
/-- A fraction is equal to its expansion by a factor from `S`. -/
@[to_additive "A difference is equal to its expansion by a summand from `S`."]
protected theorem expand' (r : X) (s s' : S) : r /ₒ s = s' • r /ₒ (s' * s) :=
OreLocalization.expand r s s' (by norm_cast; apply SetLike.coe_mem)
#align ore_localization.expand' OreLocalization.expand'
/-- Fractions which differ by a factor of the numerator can be proven equal if
those factors expand to equal elements of `R`. -/
@[to_additive "Differences whose minuends differ by a common summand can be proven equal if
those summands expand to equal elements of `R`."]
protected theorem eq_of_num_factor_eq {r r' r₁ r₂ : R} {s t : S} (h : t * r = t * r') :
r₁ * r * r₂ /ₒ s = r₁ * r' * r₂ /ₒ s := by
rcases oreCondition r₁ t with ⟨r₁', t', hr₁⟩
rw [OreLocalization.expand' _ s t', OreLocalization.expand' _ s t']
congr 1
-- Porting note (#11215): TODO: use `assoc_rw`?
calc (t' : R) * (r₁ * r * r₂)
= t' * r₁ * r * r₂ := by simp [← mul_assoc]
_ = r₁' * t * r * r₂ := by rw [hr₁]
_ = r₁' * (t * r) * r₂ := by simp [← mul_assoc]
_ = r₁' * (t * r') * r₂ := by rw [h]
_ = r₁' * t * r' * r₂ := by simp [← mul_assoc]
_ = t' * r₁ * r' * r₂ := by rw [hr₁]
_ = t' * (r₁ * r' * r₂) := by simp [← mul_assoc]
#align ore_localization.eq_of_num_factor_eq OreLocalization.eq_of_num_factor_eq
/-- A function or predicate over `X` and `S` can be lifted to `X[S⁻¹]` if it is invariant
under expansion on the left. -/
@[to_additive "A function or predicate over `X` and `S` can be lifted to the localizaton if it is
invariant under expansion on the left."]
def liftExpand {C : Sort*} (P : X → S → C)
(hP : ∀ (r : X) (t : R) (s : S) (ht : t * s ∈ S), P r s = P (t • r) ⟨t * s, ht⟩) :
X[S⁻¹] → C :=
Quotient.lift (fun p : X × S => P p.1 p.2) fun (r₁, s₁) (r₂, s₂) ⟨u, v, hr₂, hs₂⟩ => by
dsimp at *
have s₁vS : v * s₁ ∈ S := by
rw [← hs₂, ← S.coe_mul]
exact SetLike.coe_mem (u * s₂)
replace hs₂ : u * s₂ = ⟨_, s₁vS⟩ := by ext; simp [hs₂]
rw [hP r₁ v s₁ s₁vS, hP r₂ u s₂ (by norm_cast; rwa [hs₂]), ← hr₂]
simp only [← hs₂]; rfl
#align ore_localization.lift_expand OreLocalization.liftExpand
@[to_additive (attr := simp)]
theorem liftExpand_of {C : Sort*} {P : X → S → C}
{hP : ∀ (r : X) (t : R) (s : S) (ht : t * s ∈ S), P r s = P (t • r) ⟨t * s, ht⟩} (r : X)
(s : S) : liftExpand P hP (r /ₒ s) = P r s :=
rfl
#align ore_localization.lift_expand_of OreLocalization.liftExpand_of
/-- A version of `liftExpand` used to simultaneously lift functions with two arguments
in `X[S⁻¹]`. -/
@[to_additive "A version of `liftExpand` used to simultaneously lift functions with two arguments"]
def lift₂Expand {C : Sort*} (P : X → S → X → S → C)
(hP :
∀ (r₁ : X) (t₁ : R) (s₁ : S) (ht₁ : t₁ * s₁ ∈ S) (r₂ : X) (t₂ : R) (s₂ : S)
(ht₂ : t₂ * s₂ ∈ S),
P r₁ s₁ r₂ s₂ = P (t₁ • r₁) ⟨t₁ * s₁, ht₁⟩ (t₂ • r₂) ⟨t₂ * s₂, ht₂⟩) :
X[S⁻¹] → X[S⁻¹] → C :=
liftExpand
(fun r₁ s₁ => liftExpand (P r₁ s₁) fun r₂ t₂ s₂ ht₂ => by
have := hP r₁ 1 s₁ (by simp) r₂ t₂ s₂ ht₂
simp [this])
fun r₁ t₁ s₁ ht₁ => by
ext x; induction' x using OreLocalization.ind with r₂ s₂
dsimp only
rw [liftExpand_of, liftExpand_of, hP r₁ t₁ s₁ ht₁ r₂ 1 s₂ (by simp)]; simp
#align ore_localization.lift₂_expand OreLocalization.lift₂Expand
@[to_additive (attr := simp)]
theorem lift₂Expand_of {C : Sort*} {P : X → S → X → S → C}
{hP :
∀ (r₁ : X) (t₁ : R) (s₁ : S) (ht₁ : t₁ * s₁ ∈ S) (r₂ : X) (t₂ : R) (s₂ : S)
(ht₂ : t₂ * s₂ ∈ S),
P r₁ s₁ r₂ s₂ = P (t₁ • r₁) ⟨t₁ * s₁, ht₁⟩ (t₂ • r₂) ⟨t₂ * s₂, ht₂⟩}
(r₁ : X) (s₁ : S) (r₂ : X) (s₂ : S) : lift₂Expand P hP (r₁ /ₒ s₁) (r₂ /ₒ s₂) = P r₁ s₁ r₂ s₂ :=
rfl
#align ore_localization.lift₂_expand_of OreLocalization.lift₂Expand_of
@[to_additive]
private def smul' (r₁ : R) (s₁ : S) (r₂ : X) (s₂ : S) : X[S⁻¹] :=
oreNum r₁ s₂ • r₂ /ₒ (oreDenom r₁ s₂ * s₁)
@[to_additive]
private theorem smul'_char (r₁ : R) (r₂ : X) (s₁ s₂ : S) (u : S) (v : R) (huv : u * r₁ = v * s₂) :
OreLocalization.smul' r₁ s₁ r₂ s₂ = v • r₂ /ₒ (u * s₁) := by
-- Porting note: `assoc_rw` was not ported yet
simp only [smul']
have h₀ := ore_eq r₁ s₂; set v₀ := oreNum r₁ s₂; set u₀ := oreDenom r₁ s₂
rcases oreCondition (u₀ : R) u with ⟨r₃, s₃, h₃⟩
have :=
calc
r₃ * v * s₂ = r₃ * (u * r₁) := by rw [mul_assoc, ← huv]
_ = s₃ * (u₀ * r₁) := by rw [← mul_assoc, ← mul_assoc, h₃]
_ = s₃ * v₀ * s₂ := by rw [mul_assoc, h₀]
rcases ore_right_cancel _ _ _ this with ⟨s₄, hs₄⟩
symm; rw [oreDiv_eq_iff]
use s₄ * s₃
use s₄ * r₃
simp only [Submonoid.coe_mul, Submonoid.smul_def, smul_eq_mul]
constructor
· rw [smul_smul, mul_assoc (c := v₀), ← hs₄]
simp only [smul_smul, mul_assoc]
· rw [← mul_assoc (b := (u₀ : R)), mul_assoc (c := (u₀ : R)), h₃]
simp only [mul_assoc]
/-- The multiplication on the Ore localization of monoids. -/
@[to_additive]
private def smul'' (r : R) (s : S) : X[S⁻¹] → X[S⁻¹] :=
liftExpand (smul' r s) fun r₁ r₂ s' hs => by
rcases oreCondition r s' with ⟨r₁', s₁', h₁⟩
rw [smul'_char _ _ _ _ _ _ h₁]
rcases oreCondition r ⟨_, hs⟩ with ⟨r₂', s₂', h₂⟩
rw [smul'_char _ _ _ _ _ _ h₂]
rcases oreCondition (s₁' : R) (s₂') with ⟨r₃', s₃', h₃⟩
have : s₃' * r₁' * s' = (r₃' * r₂' * r₂) * s' := by
rw [mul_assoc, ← h₁, ← mul_assoc, h₃, mul_assoc, h₂]
simp [mul_assoc]
rcases ore_right_cancel _ _ _ this with ⟨s₄', h₄⟩
have : (s₄' * r₃') * (s₂' * s) ∈ S := by
rw [mul_assoc, ← mul_assoc r₃', ← h₃]
exact (s₄' * (s₃' * s₁' * s)).2
rw [OreLocalization.expand' _ _ (s₄' * s₃'), OreLocalization.expand _ (s₂' * s) _ this]
simp only [Submonoid.smul_def, Submonoid.coe_mul, smul_smul, mul_assoc, h₄]
congr 1
ext; simp only [Submonoid.coe_mul, ← mul_assoc]
rw [mul_assoc (s₄' : R), h₃, ← mul_assoc]
/-- The scalar multiplication on the Ore localization of monoids. -/
@[to_additive "the vector addition on the Ore localization of additive monoids."]
protected def smul : R[S⁻¹] → X[S⁻¹] → X[S⁻¹] :=
liftExpand smul'' fun r₁ r₂ s hs => by
ext x
induction' x using OreLocalization.ind with x s₂
show OreLocalization.smul' r₁ s x s₂ = OreLocalization.smul' (r₂ * r₁) ⟨_, hs⟩ x s₂
rcases oreCondition r₁ s₂ with ⟨r₁', s₁', h₁⟩
rw [smul'_char _ _ _ _ _ _ h₁]
rcases oreCondition (r₂ * r₁) s₂ with ⟨r₂', s₂', h₂⟩
rw [smul'_char _ _ _ _ _ _ h₂]
rcases oreCondition (s₂' * r₂) (s₁') with ⟨r₃', s₃', h₃⟩
have : s₃' * r₂' * s₂ = r₃' * r₁' * s₂ := by
rw [mul_assoc, ← h₂, ← mul_assoc _ r₂, ← mul_assoc, h₃, mul_assoc, h₁, mul_assoc]
rcases ore_right_cancel _ _ _ this with ⟨s₄', h₄⟩
have : (s₄' * r₃') * (s₁' * s) ∈ S := by
rw [← mul_assoc, mul_assoc _ r₃', ← h₃, ← mul_assoc, ← mul_assoc, mul_assoc]
exact mul_mem (s₄' * s₃' * s₂').2 hs
rw [OreLocalization.expand' (r₂' • x) _ (s₄' * s₃'), OreLocalization.expand _ _ _ this]
simp only [Submonoid.smul_def, Submonoid.coe_mul, smul_smul, mul_assoc, h₄]
congr 1
ext; simp only [Submonoid.coe_mul, ← mul_assoc]
rw [mul_assoc _ r₃', ← h₃, ← mul_assoc, ← mul_assoc]
#align ore_localization.mul OreLocalization.smul
@[to_additive]
instance : SMul R[S⁻¹] X[S⁻¹] :=
⟨OreLocalization.smul⟩
@[to_additive]
instance : Mul R[S⁻¹] :=
⟨OreLocalization.smul⟩
@[to_additive]
theorem oreDiv_smul_oreDiv {r₁ : R} {r₂ : X} {s₁ s₂ : S} :
(r₁ /ₒ s₁) • (r₂ /ₒ s₂) = oreNum r₁ s₂ • r₂ /ₒ (oreDenom r₁ s₂ * s₁) :=
rfl
@[to_additive]
theorem oreDiv_mul_oreDiv {r₁ : R} {r₂ : R} {s₁ s₂ : S} :
(r₁ /ₒ s₁) * (r₂ /ₒ s₂) = oreNum r₁ s₂ * r₂ /ₒ (oreDenom r₁ s₂ * s₁) :=
rfl
#align ore_localization.ore_div_mul_ore_div OreLocalization.oreDiv_mul_oreDiv
/-- A characterization lemma for the scalar multiplication on the Ore localization,
allowing for a choice of Ore numerator and Ore denominator. -/
@[to_additive "A characterization lemma for the vector addition on the Ore localization,
allowing for a choice of Ore minuend and Ore subtrahend."]
theorem oreDiv_smul_char (r₁ : R) (r₂ : X) (s₁ s₂ : S) (r' : R) (s' : S) (huv : s' * r₁ = r' * s₂) :
(r₁ /ₒ s₁) • (r₂ /ₒ s₂) = r' • r₂ /ₒ (s' * s₁) :=
smul'_char r₁ r₂ s₁ s₂ s' r' huv
/-- A characterization lemma for the multiplication on the Ore localization, allowing for a choice
of Ore numerator and Ore denominator. -/
@[to_additive "A characterization lemma for the addition on the Ore localization,
allowing for a choice of Ore minuend and Ore subtrahend."]
theorem oreDiv_mul_char (r₁ r₂ : R) (s₁ s₂ : S) (r' : R) (s' : S) (huv : s' * r₁ = r' * s₂) :
r₁ /ₒ s₁ * (r₂ /ₒ s₂) = r' * r₂ /ₒ (s' * s₁) :=
smul'_char r₁ r₂ s₁ s₂ s' r' huv
#align ore_localization.ore_div_mul_char OreLocalization.oreDiv_mul_char
/-- Another characterization lemma for the scalar multiplication on the Ore localizaion delivering
Ore witnesses and conditions bundled in a sigma type. -/
@[to_additive "Another characterization lemma for the vector addition on the
Ore localizaion delivering Ore witnesses and conditions bundled in a sigma type."]
def oreDivSMulChar' (r₁ : R) (r₂ : X) (s₁ s₂ : S) :
Σ'r' : R, Σ's' : S, s' * r₁ = r' * s₂ ∧ (r₁ /ₒ s₁) • (r₂ /ₒ s₂) = r' • r₂ /ₒ (s' * s₁) :=
⟨oreNum r₁ s₂, oreDenom r₁ s₂, ore_eq r₁ s₂, oreDiv_smul_oreDiv⟩
/-- Another characterization lemma for the multiplication on the Ore localizaion delivering
Ore witnesses and conditions bundled in a sigma type. -/
@[to_additive "Another characterization lemma for the addition on the Ore localizaion delivering
Ore witnesses and conditions bundled in a sigma type."]
def oreDivMulChar' (r₁ r₂ : R) (s₁ s₂ : S) :
Σ'r' : R, Σ's' : S, s' * r₁ = r' * s₂ ∧ r₁ /ₒ s₁ * (r₂ /ₒ s₂) = r' * r₂ /ₒ (s' * s₁) :=
⟨oreNum r₁ s₂, oreDenom r₁ s₂, ore_eq r₁ s₂, oreDiv_mul_oreDiv⟩
#align ore_localization.ore_div_mul_char' OreLocalization.oreDivMulChar'
@[to_additive AddOreLocalization.instZeroAddOreLocalization]
instance : One R[S⁻¹] :=
⟨1 /ₒ 1⟩
@[to_additive]
protected theorem one_def : (1 : R[S⁻¹]) = 1 /ₒ 1 :=
rfl
#align ore_localization.one_def OreLocalization.one_def
@[to_additive]
instance : Inhabited R[S⁻¹] :=
⟨1⟩
@[to_additive (attr := simp)]
protected theorem div_eq_one' {r : R} (hr : r ∈ S) : r /ₒ ⟨r, hr⟩ = 1 := by
rw [OreLocalization.one_def, oreDiv_eq_iff]
exact ⟨⟨r, hr⟩, 1, by simp, by simp⟩
#align ore_localization.div_eq_one' OreLocalization.div_eq_one'
@[to_additive (attr := simp)]
protected theorem div_eq_one {s : S} : (s : R) /ₒ s = 1 :=
OreLocalization.div_eq_one' _
#align ore_localization.div_eq_one OreLocalization.div_eq_one
@[to_additive]
protected theorem one_smul (x : X[S⁻¹]) : (1 : R[S⁻¹]) • x = x := by
induction' x using OreLocalization.ind with r s
simp [OreLocalization.one_def, oreDiv_smul_char 1 r 1 s 1 s (by simp)]
@[to_additive]
protected theorem one_mul (x : R[S⁻¹]) : 1 * x = x :=
OreLocalization.one_smul x
#align ore_localization.one_mul OreLocalization.one_mul
@[to_additive]
protected theorem mul_one (x : R[S⁻¹]) : x * 1 = x := by
induction' x using OreLocalization.ind with r s
simp [OreLocalization.one_def, oreDiv_mul_char r (1 : R) s (1 : S) r 1 (by simp)]
#align ore_localization.mul_one OreLocalization.mul_one
@[to_additive]
protected theorem mul_smul (x y : R[S⁻¹]) (z : X[S⁻¹]) : (x * y) • z = x • y • z := by
-- Porting note: `assoc_rw` was not ported yet
induction' x using OreLocalization.ind with r₁ s₁
induction' y using OreLocalization.ind with r₂ s₂
induction' z using OreLocalization.ind with r₃ s₃
rcases oreDivMulChar' r₁ r₂ s₁ s₂ with ⟨ra, sa, ha, ha'⟩; rw [ha']; clear ha'
rcases oreDivSMulChar' r₂ r₃ s₂ s₃ with ⟨rb, sb, hb, hb'⟩; rw [hb']; clear hb'
rcases oreCondition ra sb with ⟨rc, sc, hc⟩
rw [oreDiv_smul_char (ra * r₂) r₃ (sa * s₁) s₃ (rc * rb) sc]; swap
· rw [← mul_assoc _ ra, hc, mul_assoc, hb, ← mul_assoc]
rw [← mul_assoc, mul_smul]
symm; apply oreDiv_smul_char
rw [Submonoid.coe_mul, Submonoid.coe_mul, ← mul_assoc, ← hc, mul_assoc _ ra, ← ha, mul_assoc]
@[to_additive]
protected theorem mul_assoc (x y z : R[S⁻¹]) : x * y * z = x * (y * z) :=
OreLocalization.mul_smul x y z
#align ore_localization.mul_assoc OreLocalization.mul_assoc
@[to_additive]
instance : Monoid R[S⁻¹] where
one_mul := OreLocalization.one_mul
mul_one := OreLocalization.mul_one
mul_assoc := OreLocalization.mul_assoc
@[to_additive]
instance instMulActionOreLocalization : MulAction R[S⁻¹] X[S⁻¹] where
one_smul := OreLocalization.one_smul
mul_smul := OreLocalization.mul_smul
@[to_additive]
protected theorem mul_inv (s s' : S) : ((s : R) /ₒ s') * ((s' : R) /ₒ s) = 1 := by
simp [oreDiv_mul_char (s : R) s' s' s 1 1 (by simp)]
#align ore_localization.mul_inv OreLocalization.mul_inv
@[to_additive (attr := simp)]
protected theorem one_div_smul {r : X} {s t : S} : ((1 : R) /ₒ t) • (r /ₒ s) = r /ₒ (s * t) := by
simp [oreDiv_smul_char 1 r t s 1 s (by simp)]
@[to_additive (attr := simp)]
protected theorem one_div_mul {r : R} {s t : S} : (1 /ₒ t) * (r /ₒ s) = r /ₒ (s * t) := by
simp [oreDiv_mul_char 1 r t s 1 s (by simp)]
#align ore_localization.mul_one_div OreLocalization.one_div_mul
@[to_additive (attr := simp)]
protected theorem smul_cancel {r : X} {s t : S} : ((s : R) /ₒ t) • (r /ₒ s) = r /ₒ t := by
simp [oreDiv_smul_char s.1 r t s 1 1 (by simp)]
@[to_additive (attr := simp)]
protected theorem mul_cancel {r : R} {s t : S} : ((s : R) /ₒ t) * (r /ₒ s) = r /ₒ t := by
simp [oreDiv_mul_char s.1 r t s 1 1 (by simp)]
#align ore_localization.mul_cancel OreLocalization.mul_cancel
@[to_additive (attr := simp)]
protected theorem smul_cancel' {r₁ : R} {r₂ : X} {s t : S} :
((r₁ * s) /ₒ t) • (r₂ /ₒ s) = (r₁ • r₂) /ₒ t := by
simp [oreDiv_smul_char (r₁ * s) r₂ t s r₁ 1 (by simp)]
@[to_additive (attr := simp)]
protected theorem mul_cancel' {r₁ r₂ : R} {s t : S} :
((r₁ * s) /ₒ t) * (r₂ /ₒ s) = (r₁ * r₂) /ₒ t := by
simp [oreDiv_mul_char (r₁ * s) r₂ t s r₁ 1 (by simp)]
#align ore_localization.mul_cancel' OreLocalization.mul_cancel'
@[to_additive (attr := simp)]
theorem smul_div_one {p : R} {r : X} {s : S} : (p /ₒ s) • (r /ₒ 1) = (p • r) /ₒ s := by
simp [oreDiv_smul_char p r s 1 p 1 (by simp)]
@[to_additive (attr := simp)]
theorem mul_div_one {p r : R} {s : S} : (p /ₒ s) * (r /ₒ 1) = (p * r) /ₒ s := by
--TODO use coercion r ↦ r /ₒ 1
simp [oreDiv_mul_char p r s 1 p 1 (by simp)]
#align ore_localization.div_one_mul OreLocalization.mul_div_one
@[to_additive]
instance : SMul R X[S⁻¹] where
smul r := liftExpand (fun x s ↦ oreNum r s • x /ₒ (oreDenom r s)) (by
intro x r' s h
dsimp only
rw [← mul_one (oreDenom r s), ← oreDiv_smul_oreDiv, ← mul_one (oreDenom _ _),
← oreDiv_smul_oreDiv, ← OreLocalization.expand])
@[to_additive]
theorem smul_oreDiv (r : R) (x : X) (s : S) : r • (x /ₒ s) = oreNum r s • x /ₒ (oreDenom r s) :=
rfl
@[to_additive (attr := simp)]
theorem oreDiv_one_smul (r : R) (x : X[S⁻¹]) : (r /ₒ (1 : S)) • x = r • x := by
induction' x using OreLocalization.ind with r s
rw [smul_oreDiv, oreDiv_smul_oreDiv, mul_one]
@[to_additive]
instance : MulAction R X[S⁻¹] where
one_smul := OreLocalization.ind fun x s ↦ by
rw [← oreDiv_one_smul, ← OreLocalization.one_def, one_smul]
mul_smul r r' := OreLocalization.ind fun x s ↦ by
rw [← oreDiv_one_smul, ← oreDiv_one_smul, ← oreDiv_one_smul, ← mul_div_one, mul_smul]
@[to_additive]
instance : IsScalarTower R R[S⁻¹] X[S⁻¹] where
smul_assoc a b c := by rw [← oreDiv_one_smul, ← oreDiv_one_smul, smul_smul, smul_eq_mul]
/-- The fraction `s /ₒ 1` as a unit in `R[S⁻¹]`, where `s : S`. -/
@[to_additive "The difference `s -ₒ 0` as a an additive unit."]
def numeratorUnit (s : S) : Units R[S⁻¹] where
val := (s : R) /ₒ 1
inv := (1 : R) /ₒ s
val_inv := OreLocalization.mul_inv s 1
inv_val := OreLocalization.mul_inv 1 s
#align ore_localization.numerator_unit OreLocalization.numeratorUnit
/-- The multiplicative homomorphism from `R` to `R[S⁻¹]`, mapping `r : R` to the
fraction `r /ₒ 1`. -/
@[to_additive "The additive homomorphism from `R` to `AddOreLocalization R S`,
mapping `r : R` to the difference `r -ₒ 0`."]
def numeratorHom : R →* R[S⁻¹] where
toFun r := r /ₒ 1
map_one' := rfl
map_mul' _ _ := mul_div_one.symm
#align ore_localization.numerator_hom OreLocalization.numeratorHom
@[to_additive]
theorem numeratorHom_apply {r : R} : numeratorHom r = r /ₒ (1 : S) :=
rfl
#align ore_localization.numerator_hom_apply OreLocalization.numeratorHom_apply
@[to_additive]
theorem numerator_isUnit (s : S) : IsUnit (numeratorHom (s : R) : R[S⁻¹]) :=
⟨numeratorUnit s, rfl⟩
#align ore_localization.numerator_is_unit OreLocalization.numerator_isUnit
section UMP
variable {T : Type*} [Monoid T]
variable (f : R →* T) (fS : S →* Units T)
variable (hf : ∀ s : S, f s = fS s)
/-- The universal lift from a morphism `R →* T`, which maps elements of `S` to units of `T`,
to a morphism `R[S⁻¹] →* T`. -/
@[to_additive "The universal lift from a morphism `R →+ T`, which maps elements of `S` to
additive-units of `T`, to a morphism `AddOreLocalization R S →+ T`."]
def universalMulHom : R[S⁻¹] →* T where
-- Porting note(#12129): additional beta reduction needed
toFun x :=
x.liftExpand (fun r s => ((fS s)⁻¹ : Units T) * f r) fun r t s ht => by
simp only [smul_eq_mul]
have : (fS ⟨t * s, ht⟩ : T) = f t * fS s := by
simp only [← hf, MonoidHom.map_mul]
conv_rhs =>
rw [MonoidHom.map_mul, ← one_mul (f r), ← Units.val_one, ← mul_right_inv (fS s)]
rw [Units.val_mul, mul_assoc, ← mul_assoc _ (fS s : T), ← this, ← mul_assoc]
simp only [one_mul, Units.inv_mul]
map_one' := by beta_reduce; rw [OreLocalization.one_def, liftExpand_of]; simp
map_mul' x y := by
-- Porting note: `simp only []` required, not just for beta reductions
beta_reduce
simp only [] -- TODO more!
induction' x using OreLocalization.ind with r₁ s₁
induction' y using OreLocalization.ind with r₂ s₂
rcases oreDivMulChar' r₁ r₂ s₁ s₂ with ⟨ra, sa, ha, ha'⟩; rw [ha']; clear ha'
rw [liftExpand_of, liftExpand_of, liftExpand_of, Units.inv_mul_eq_iff_eq_mul, map_mul, map_mul,
Units.val_mul, mul_assoc, ← mul_assoc (fS s₁ : T), ← mul_assoc (fS s₁ : T), Units.mul_inv,
one_mul, ← hf, ← mul_assoc, ← map_mul _ _ r₁, ha, map_mul, hf s₂, mul_assoc,
← mul_assoc (fS s₂ : T), (fS s₂).mul_inv, one_mul]
#align ore_localization.universal_mul_hom OreLocalization.universalMulHom
@[to_additive]
theorem universalMulHom_apply {r : R} {s : S} :
universalMulHom f fS hf (r /ₒ s) = ((fS s)⁻¹ : Units T) * f r :=
rfl
#align ore_localization.universal_mul_hom_apply OreLocalization.universalMulHom_apply
@[to_additive]
theorem universalMulHom_commutes {r : R} : universalMulHom f fS hf (numeratorHom r) = f r := by
simp [numeratorHom_apply, universalMulHom_apply]
#align ore_localization.universal_mul_hom_commutes OreLocalization.universalMulHom_commutes
/-- The universal morphism `universalMulHom` is unique. -/
@[to_additive "The universal morphism `universalAddHom` is unique."]
| Mathlib/RingTheory/OreLocalization/Basic.lean | 557 | 562 | theorem universalMulHom_unique (φ : R[S⁻¹] →* T) (huniv : ∀ r : R, φ (numeratorHom r) = f r) :
φ = universalMulHom f fS hf := by |
ext x; induction' x using OreLocalization.ind with r s
rw [universalMulHom_apply, ← huniv r, numeratorHom_apply, ← one_mul (φ (r /ₒ s)), ←
Units.val_one, ← mul_left_inv (fS s), Units.val_mul, mul_assoc, ← hf, ← huniv, ← φ.map_mul,
numeratorHom_apply, OreLocalization.mul_cancel]
|
/-
Copyright (c) 2022 Yaël Dillies. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yaël Dillies, Yury Kudryashov
-/
import Mathlib.Analysis.Convex.Normed
import Mathlib.Analysis.Convex.Strict
import Mathlib.Analysis.Normed.Order.Basic
import Mathlib.Analysis.NormedSpace.AddTorsor
import Mathlib.Analysis.NormedSpace.Pointwise
import Mathlib.Analysis.NormedSpace.Ray
#align_import analysis.convex.strict_convex_space from "leanprover-community/mathlib"@"a63928c34ec358b5edcda2bf7513c50052a5230f"
/-!
# Strictly convex spaces
This file defines strictly convex spaces. A normed space is strictly convex if all closed balls are
strictly convex. This does **not** mean that the norm is strictly convex (in fact, it never is).
## Main definitions
`StrictConvexSpace`: a typeclass saying that a given normed space over a normed linear ordered
field (e.g., `ℝ` or `ℚ`) is strictly convex. The definition requires strict convexity of a closed
ball of positive radius with center at the origin; strict convexity of any other closed ball follows
from this assumption.
## Main results
In a strictly convex space, we prove
- `strictConvex_closedBall`: a closed ball is strictly convex.
- `combo_mem_ball_of_ne`, `openSegment_subset_ball_of_ne`, `norm_combo_lt_of_ne`:
a nontrivial convex combination of two points in a closed ball belong to the corresponding open
ball;
- `norm_add_lt_of_not_sameRay`, `sameRay_iff_norm_add`, `dist_add_dist_eq_iff`:
the triangle inequality `dist x y + dist y z ≤ dist x z` is a strict inequality unless `y` belongs
to the segment `[x -[ℝ] z]`.
- `Isometry.affineIsometryOfStrictConvexSpace`: an isometry of `NormedAddTorsor`s for real
normed spaces, strictly convex in the case of the codomain, is an affine isometry.
We also provide several lemmas that can be used as alternative constructors for `StrictConvex ℝ E`:
- `StrictConvexSpace.of_strictConvex_closed_unit_ball`: if `closed_ball (0 : E) 1` is strictly
convex, then `E` is a strictly convex space;
- `StrictConvexSpace.of_norm_add`: if `‖x + y‖ = ‖x‖ + ‖y‖` implies `SameRay ℝ x y` for all
nonzero `x y : E`, then `E` is a strictly convex space.
## Implementation notes
While the definition is formulated for any normed linear ordered field, most of the lemmas are
formulated only for the case `𝕜 = ℝ`.
## Tags
convex, strictly convex
-/
open Convex Pointwise Set Metric
/-- A *strictly convex space* is a normed space where the closed balls are strictly convex. We only
require balls of positive radius with center at the origin to be strictly convex in the definition,
then prove that any closed ball is strictly convex in `strictConvex_closedBall` below.
See also `StrictConvexSpace.of_strictConvex_closed_unit_ball`. -/
class StrictConvexSpace (𝕜 E : Type*) [NormedLinearOrderedField 𝕜] [NormedAddCommGroup E]
[NormedSpace 𝕜 E] : Prop where
strictConvex_closedBall : ∀ r : ℝ, 0 < r → StrictConvex 𝕜 (closedBall (0 : E) r)
#align strict_convex_space StrictConvexSpace
variable (𝕜 : Type*) {E : Type*} [NormedLinearOrderedField 𝕜] [NormedAddCommGroup E]
[NormedSpace 𝕜 E]
/-- A closed ball in a strictly convex space is strictly convex. -/
theorem strictConvex_closedBall [StrictConvexSpace 𝕜 E] (x : E) (r : ℝ) :
StrictConvex 𝕜 (closedBall x r) := by
rcases le_or_lt r 0 with hr | hr
· exact (subsingleton_closedBall x hr).strictConvex
rw [← vadd_closedBall_zero]
exact (StrictConvexSpace.strictConvex_closedBall r hr).vadd _
#align strict_convex_closed_ball strictConvex_closedBall
variable [NormedSpace ℝ E]
/-- A real normed vector space is strictly convex provided that the unit ball is strictly convex. -/
theorem StrictConvexSpace.of_strictConvex_closed_unit_ball [LinearMap.CompatibleSMul E E 𝕜 ℝ]
(h : StrictConvex 𝕜 (closedBall (0 : E) 1)) : StrictConvexSpace 𝕜 E :=
⟨fun r hr => by simpa only [smul_closedUnitBall_of_nonneg hr.le] using h.smul r⟩
#align strict_convex_space.of_strict_convex_closed_unit_ball StrictConvexSpace.of_strictConvex_closed_unit_ball
/-- Strict convexity is equivalent to `‖a • x + b • y‖ < 1` for all `x` and `y` of norm at most `1`
and all strictly positive `a` and `b` such that `a + b = 1`. This lemma shows that it suffices to
check this for points of norm one and some `a`, `b` such that `a + b = 1`. -/
theorem StrictConvexSpace.of_norm_combo_lt_one
(h : ∀ x y : E, ‖x‖ = 1 → ‖y‖ = 1 → x ≠ y → ∃ a b : ℝ, a + b = 1 ∧ ‖a • x + b • y‖ < 1) :
StrictConvexSpace ℝ E := by
refine
StrictConvexSpace.of_strictConvex_closed_unit_ball ℝ
((convex_closedBall _ _).strictConvex' fun x hx y hy hne => ?_)
rw [interior_closedBall (0 : E) one_ne_zero, closedBall_diff_ball,
mem_sphere_zero_iff_norm] at hx hy
rcases h x y hx hy hne with ⟨a, b, hab, hlt⟩
use b
rwa [AffineMap.lineMap_apply_module, interior_closedBall (0 : E) one_ne_zero, mem_ball_zero_iff,
sub_eq_iff_eq_add.2 hab.symm]
#align strict_convex_space.of_norm_combo_lt_one StrictConvexSpace.of_norm_combo_lt_one
theorem StrictConvexSpace.of_norm_combo_ne_one
(h :
∀ x y : E,
‖x‖ = 1 → ‖y‖ = 1 → x ≠ y → ∃ a b : ℝ, 0 ≤ a ∧ 0 ≤ b ∧ a + b = 1 ∧ ‖a • x + b • y‖ ≠ 1) :
StrictConvexSpace ℝ E := by
refine StrictConvexSpace.of_strictConvex_closed_unit_ball ℝ
((convex_closedBall _ _).strictConvex ?_)
simp only [interior_closedBall _ one_ne_zero, closedBall_diff_ball, Set.Pairwise,
frontier_closedBall _ one_ne_zero, mem_sphere_zero_iff_norm]
intro x hx y hy hne
rcases h x y hx hy hne with ⟨a, b, ha, hb, hab, hne'⟩
exact ⟨_, ⟨a, b, ha, hb, hab, rfl⟩, mt mem_sphere_zero_iff_norm.1 hne'⟩
#align strict_convex_space.of_norm_combo_ne_one StrictConvexSpace.of_norm_combo_ne_one
| Mathlib/Analysis/Convex/StrictConvexSpace.lean | 123 | 130 | theorem StrictConvexSpace.of_norm_add_ne_two
(h : ∀ ⦃x y : E⦄, ‖x‖ = 1 → ‖y‖ = 1 → x ≠ y → ‖x + y‖ ≠ 2) : StrictConvexSpace ℝ E := by |
refine
StrictConvexSpace.of_norm_combo_ne_one fun x y hx hy hne =>
⟨1 / 2, 1 / 2, one_half_pos.le, one_half_pos.le, add_halves _, ?_⟩
rw [← smul_add, norm_smul, Real.norm_of_nonneg one_half_pos.le, one_div, ← div_eq_inv_mul, Ne,
div_eq_one_iff_eq (two_ne_zero' ℝ)]
exact h hx hy hne
|
/-
Copyright (c) 2018 Chris Hughes. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Chris Hughes, Johannes Hölzl, Scott Morrison, Jens Wagemaker
-/
import Mathlib.Algebra.Polynomial.Eval
#align_import data.polynomial.degree.lemmas from "leanprover-community/mathlib"@"728baa2f54e6062c5879a3e397ac6bac323e506f"
/-!
# Theory of degrees of polynomials
Some of the main results include
- `natDegree_comp_le` : The degree of the composition is at most the product of degrees
-/
noncomputable section
open Polynomial
open Finsupp Finset
namespace Polynomial
universe u v w
variable {R : Type u} {S : Type v} {ι : Type w} {a b : R} {m n : ℕ}
section Semiring
variable [Semiring R] {p q r : R[X]}
section Degree
theorem natDegree_comp_le : natDegree (p.comp q) ≤ natDegree p * natDegree q :=
letI := Classical.decEq R
if h0 : p.comp q = 0 then by rw [h0, natDegree_zero]; exact Nat.zero_le _
else
WithBot.coe_le_coe.1 <|
calc
↑(natDegree (p.comp q)) = degree (p.comp q) := (degree_eq_natDegree h0).symm
_ = _ := congr_arg degree comp_eq_sum_left
_ ≤ _ := degree_sum_le _ _
_ ≤ _ :=
Finset.sup_le fun n hn =>
calc
degree (C (coeff p n) * q ^ n) ≤ degree (C (coeff p n)) + degree (q ^ n) :=
degree_mul_le _ _
_ ≤ natDegree (C (coeff p n)) + n • degree q :=
(add_le_add degree_le_natDegree (degree_pow_le _ _))
_ ≤ natDegree (C (coeff p n)) + n • ↑(natDegree q) :=
(add_le_add_left (nsmul_le_nsmul_right (@degree_le_natDegree _ _ q) n) _)
_ = (n * natDegree q : ℕ) := by
rw [natDegree_C, Nat.cast_zero, zero_add, nsmul_eq_mul];
simp
_ ≤ (natDegree p * natDegree q : ℕ) :=
WithBot.coe_le_coe.2 <|
mul_le_mul_of_nonneg_right (le_natDegree_of_ne_zero (mem_support_iff.1 hn))
(Nat.zero_le _)
#align polynomial.nat_degree_comp_le Polynomial.natDegree_comp_le
theorem degree_pos_of_root {p : R[X]} (hp : p ≠ 0) (h : IsRoot p a) : 0 < degree p :=
lt_of_not_ge fun hlt => by
have := eq_C_of_degree_le_zero hlt
rw [IsRoot, this, eval_C] at h
simp only [h, RingHom.map_zero] at this
exact hp this
#align polynomial.degree_pos_of_root Polynomial.degree_pos_of_root
theorem natDegree_le_iff_coeff_eq_zero : p.natDegree ≤ n ↔ ∀ N : ℕ, n < N → p.coeff N = 0 := by
simp_rw [natDegree_le_iff_degree_le, degree_le_iff_coeff_zero, Nat.cast_lt]
#align polynomial.nat_degree_le_iff_coeff_eq_zero Polynomial.natDegree_le_iff_coeff_eq_zero
theorem natDegree_add_le_iff_left {n : ℕ} (p q : R[X]) (qn : q.natDegree ≤ n) :
(p + q).natDegree ≤ n ↔ p.natDegree ≤ n := by
refine ⟨fun h => ?_, fun h => natDegree_add_le_of_degree_le h qn⟩
refine natDegree_le_iff_coeff_eq_zero.mpr fun m hm => ?_
convert natDegree_le_iff_coeff_eq_zero.mp h m hm using 1
rw [coeff_add, natDegree_le_iff_coeff_eq_zero.mp qn _ hm, add_zero]
#align polynomial.nat_degree_add_le_iff_left Polynomial.natDegree_add_le_iff_left
theorem natDegree_add_le_iff_right {n : ℕ} (p q : R[X]) (pn : p.natDegree ≤ n) :
(p + q).natDegree ≤ n ↔ q.natDegree ≤ n := by
rw [add_comm]
exact natDegree_add_le_iff_left _ _ pn
#align polynomial.nat_degree_add_le_iff_right Polynomial.natDegree_add_le_iff_right
theorem natDegree_C_mul_le (a : R) (f : R[X]) : (C a * f).natDegree ≤ f.natDegree :=
calc
(C a * f).natDegree ≤ (C a).natDegree + f.natDegree := natDegree_mul_le
_ = 0 + f.natDegree := by rw [natDegree_C a]
_ = f.natDegree := zero_add _
set_option linter.uppercaseLean3 false in
#align polynomial.nat_degree_C_mul_le Polynomial.natDegree_C_mul_le
theorem natDegree_mul_C_le (f : R[X]) (a : R) : (f * C a).natDegree ≤ f.natDegree :=
calc
(f * C a).natDegree ≤ f.natDegree + (C a).natDegree := natDegree_mul_le
_ = f.natDegree + 0 := by rw [natDegree_C a]
_ = f.natDegree := add_zero _
set_option linter.uppercaseLean3 false in
#align polynomial.nat_degree_mul_C_le Polynomial.natDegree_mul_C_le
theorem eq_natDegree_of_le_mem_support (pn : p.natDegree ≤ n) (ns : n ∈ p.support) :
p.natDegree = n :=
le_antisymm pn (le_natDegree_of_mem_supp _ ns)
#align polynomial.eq_nat_degree_of_le_mem_support Polynomial.eq_natDegree_of_le_mem_support
theorem natDegree_C_mul_eq_of_mul_eq_one {ai : R} (au : ai * a = 1) :
(C a * p).natDegree = p.natDegree :=
le_antisymm (natDegree_C_mul_le a p)
(calc
p.natDegree = (1 * p).natDegree := by nth_rw 1 [← one_mul p]
_ = (C ai * (C a * p)).natDegree := by rw [← C_1, ← au, RingHom.map_mul, ← mul_assoc]
_ ≤ (C a * p).natDegree := natDegree_C_mul_le ai (C a * p))
set_option linter.uppercaseLean3 false in
#align polynomial.nat_degree_C_mul_eq_of_mul_eq_one Polynomial.natDegree_C_mul_eq_of_mul_eq_one
theorem natDegree_mul_C_eq_of_mul_eq_one {ai : R} (au : a * ai = 1) :
(p * C a).natDegree = p.natDegree :=
le_antisymm (natDegree_mul_C_le p a)
(calc
p.natDegree = (p * 1).natDegree := by nth_rw 1 [← mul_one p]
_ = (p * C a * C ai).natDegree := by rw [← C_1, ← au, RingHom.map_mul, ← mul_assoc]
_ ≤ (p * C a).natDegree := natDegree_mul_C_le (p * C a) ai)
set_option linter.uppercaseLean3 false in
#align polynomial.nat_degree_mul_C_eq_of_mul_eq_one Polynomial.natDegree_mul_C_eq_of_mul_eq_one
/-- Although not explicitly stated, the assumptions of lemma `nat_degree_mul_C_eq_of_mul_ne_zero`
force the polynomial `p` to be non-zero, via `p.leading_coeff ≠ 0`.
-/
theorem natDegree_mul_C_eq_of_mul_ne_zero (h : p.leadingCoeff * a ≠ 0) :
(p * C a).natDegree = p.natDegree := by
refine eq_natDegree_of_le_mem_support (natDegree_mul_C_le p a) ?_
refine mem_support_iff.mpr ?_
rwa [coeff_mul_C]
set_option linter.uppercaseLean3 false in
#align polynomial.nat_degree_mul_C_eq_of_mul_ne_zero Polynomial.natDegree_mul_C_eq_of_mul_ne_zero
/-- Although not explicitly stated, the assumptions of lemma `nat_degree_C_mul_eq_of_mul_ne_zero`
force the polynomial `p` to be non-zero, via `p.leading_coeff ≠ 0`.
-/
theorem natDegree_C_mul_eq_of_mul_ne_zero (h : a * p.leadingCoeff ≠ 0) :
(C a * p).natDegree = p.natDegree := by
refine eq_natDegree_of_le_mem_support (natDegree_C_mul_le a p) ?_
refine mem_support_iff.mpr ?_
rwa [coeff_C_mul]
set_option linter.uppercaseLean3 false in
#align polynomial.nat_degree_C_mul_eq_of_mul_ne_zero Polynomial.natDegree_C_mul_eq_of_mul_ne_zero
theorem natDegree_add_coeff_mul (f g : R[X]) :
(f * g).coeff (f.natDegree + g.natDegree) = f.coeff f.natDegree * g.coeff g.natDegree := by
simp only [coeff_natDegree, coeff_mul_degree_add_degree]
#align polynomial.nat_degree_add_coeff_mul Polynomial.natDegree_add_coeff_mul
theorem natDegree_lt_coeff_mul (h : p.natDegree + q.natDegree < m + n) :
(p * q).coeff (m + n) = 0 :=
coeff_eq_zero_of_natDegree_lt (natDegree_mul_le.trans_lt h)
#align polynomial.nat_degree_lt_coeff_mul Polynomial.natDegree_lt_coeff_mul
theorem coeff_mul_of_natDegree_le (pm : p.natDegree ≤ m) (qn : q.natDegree ≤ n) :
(p * q).coeff (m + n) = p.coeff m * q.coeff n := by
simp_rw [← Polynomial.toFinsupp_apply, toFinsupp_mul]
refine AddMonoidAlgebra.apply_add_of_supDegree_le ?_ Function.injective_id ?_ ?_
· simp
· rwa [supDegree_eq_natDegree, id_eq]
· rwa [supDegree_eq_natDegree, id_eq]
#align polynomial.coeff_mul_of_nat_degree_le Polynomial.coeff_mul_of_natDegree_le
theorem coeff_pow_of_natDegree_le (pn : p.natDegree ≤ n) :
(p ^ m).coeff (m * n) = p.coeff n ^ m := by
induction' m with m hm
· simp
· rw [pow_succ, pow_succ, ← hm, Nat.succ_mul, coeff_mul_of_natDegree_le _ pn]
refine natDegree_pow_le.trans (le_trans ?_ (le_refl _))
exact mul_le_mul_of_nonneg_left pn m.zero_le
#align polynomial.coeff_pow_of_nat_degree_le Polynomial.coeff_pow_of_natDegree_le
theorem coeff_pow_eq_ite_of_natDegree_le_of_le {o : ℕ}
(pn : natDegree p ≤ n) (mno : m * n ≤ o) :
coeff (p ^ m) o = if o = m * n then (coeff p n) ^ m else 0 := by
rcases eq_or_ne o (m * n) with rfl | h
· simpa only [ite_true] using coeff_pow_of_natDegree_le pn
· simpa only [h, ite_false] using coeff_eq_zero_of_natDegree_lt <|
lt_of_le_of_lt (natDegree_pow_le_of_le m pn) (lt_of_le_of_ne mno h.symm)
theorem coeff_add_eq_left_of_lt (qn : q.natDegree < n) : (p + q).coeff n = p.coeff n :=
(coeff_add _ _ _).trans <|
(congr_arg _ <| coeff_eq_zero_of_natDegree_lt <| qn).trans <| add_zero _
#align polynomial.coeff_add_eq_left_of_lt Polynomial.coeff_add_eq_left_of_lt
theorem coeff_add_eq_right_of_lt (pn : p.natDegree < n) : (p + q).coeff n = q.coeff n := by
rw [add_comm]
exact coeff_add_eq_left_of_lt pn
#align polynomial.coeff_add_eq_right_of_lt Polynomial.coeff_add_eq_right_of_lt
| Mathlib/Algebra/Polynomial/Degree/Lemmas.lean | 199 | 222 | theorem degree_sum_eq_of_disjoint (f : S → R[X]) (s : Finset S)
(h : Set.Pairwise { i | i ∈ s ∧ f i ≠ 0 } (Ne on degree ∘ f)) :
degree (s.sum f) = s.sup fun i => degree (f i) := by |
classical
induction' s using Finset.induction_on with x s hx IH
· simp
· simp only [hx, Finset.sum_insert, not_false_iff, Finset.sup_insert]
specialize IH (h.mono fun _ => by simp (config := { contextual := true }))
rcases lt_trichotomy (degree (f x)) (degree (s.sum f)) with (H | H | H)
· rw [← IH, sup_eq_right.mpr H.le, degree_add_eq_right_of_degree_lt H]
· rcases s.eq_empty_or_nonempty with (rfl | hs)
· simp
obtain ⟨y, hy, hy'⟩ := Finset.exists_mem_eq_sup s hs fun i => degree (f i)
rw [IH, hy'] at H
by_cases hx0 : f x = 0
· simp [hx0, IH]
have hy0 : f y ≠ 0 := by
contrapose! H
simpa [H, degree_eq_bot] using hx0
refine absurd H (h ?_ ?_ fun H => hx ?_)
· simp [hx0]
· simp [hy, hy0]
· exact H.symm ▸ hy
· rw [← IH, sup_eq_left.mpr H.le, degree_add_eq_left_of_degree_lt H]
|
/-
Copyright (c) 2021 Oliver Nash. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Oliver Nash
-/
import Mathlib.Algebra.Lie.OfAssociative
import Mathlib.Algebra.Lie.IdealOperations
#align_import algebra.lie.abelian from "leanprover-community/mathlib"@"8983bec7cdf6cb2dd1f21315c8a34ab00d7b2f6d"
/-!
# Trivial Lie modules and Abelian Lie algebras
The action of a Lie algebra `L` on a module `M` is trivial if `⁅x, m⁆ = 0` for all `x ∈ L` and
`m ∈ M`. In the special case that `M = L` with the adjoint action, triviality corresponds to the
concept of an Abelian Lie algebra.
In this file we define these concepts and provide some related definitions and results.
## Main definitions
* `LieModule.IsTrivial`
* `IsLieAbelian`
* `commutative_ring_iff_abelian_lie_ring`
* `LieModule.ker`
* `LieModule.maxTrivSubmodule`
* `LieAlgebra.center`
## Tags
lie algebra, abelian, commutative, center
-/
universe u v w w₁ w₂
/-- A Lie (ring) module is trivial iff all brackets vanish. -/
class LieModule.IsTrivial (L : Type v) (M : Type w) [Bracket L M] [Zero M] : Prop where
trivial : ∀ (x : L) (m : M), ⁅x, m⁆ = 0
#align lie_module.is_trivial LieModule.IsTrivial
@[simp]
theorem trivial_lie_zero (L : Type v) (M : Type w) [Bracket L M] [Zero M] [LieModule.IsTrivial L M]
(x : L) (m : M) : ⁅x, m⁆ = 0 :=
LieModule.IsTrivial.trivial x m
#align trivial_lie_zero trivial_lie_zero
instance LieModule.instIsTrivialOfSubsingleton {L M : Type*}
[LieRing L] [AddCommGroup M] [LieRingModule L M] [Subsingleton L] : LieModule.IsTrivial L M :=
⟨fun x m ↦ by rw [Subsingleton.eq_zero x, zero_lie]⟩
instance LieModule.instIsTrivialOfSubsingleton' {L M : Type*}
[LieRing L] [AddCommGroup M] [LieRingModule L M] [Subsingleton M] : LieModule.IsTrivial L M :=
⟨fun x m ↦ by simp_rw [Subsingleton.eq_zero m, lie_zero]⟩
/-- A Lie algebra is Abelian iff it is trivial as a Lie module over itself. -/
abbrev IsLieAbelian (L : Type v) [Bracket L L] [Zero L] : Prop :=
LieModule.IsTrivial L L
#align is_lie_abelian IsLieAbelian
instance LieIdeal.isLieAbelian_of_trivial (R : Type u) (L : Type v) [CommRing R] [LieRing L]
[LieAlgebra R L] (I : LieIdeal R L) [h : LieModule.IsTrivial L I] : IsLieAbelian I where
trivial x y := by apply h.trivial
#align lie_ideal.is_lie_abelian_of_trivial LieIdeal.isLieAbelian_of_trivial
theorem Function.Injective.isLieAbelian {R : Type u} {L₁ : Type v} {L₂ : Type w} [CommRing R]
[LieRing L₁] [LieRing L₂] [LieAlgebra R L₁] [LieAlgebra R L₂] {f : L₁ →ₗ⁅R⁆ L₂}
(h₁ : Function.Injective f) (_ : IsLieAbelian L₂) : IsLieAbelian L₁ :=
{ trivial := fun x y => h₁ <|
calc
f ⁅x, y⁆ = ⁅f x, f y⁆ := LieHom.map_lie f x y
_ = 0 := trivial_lie_zero _ _ _ _
_ = f 0 := f.map_zero.symm}
#align function.injective.is_lie_abelian Function.Injective.isLieAbelian
theorem Function.Surjective.isLieAbelian {R : Type u} {L₁ : Type v} {L₂ : Type w} [CommRing R]
[LieRing L₁] [LieRing L₂] [LieAlgebra R L₁] [LieAlgebra R L₂] {f : L₁ →ₗ⁅R⁆ L₂}
(h₁ : Function.Surjective f) (h₂ : IsLieAbelian L₁) : IsLieAbelian L₂ :=
{ trivial := fun x y => by
obtain ⟨u, rfl⟩ := h₁ x
obtain ⟨v, rfl⟩ := h₁ y
rw [← LieHom.map_lie, trivial_lie_zero, LieHom.map_zero] }
#align function.surjective.is_lie_abelian Function.Surjective.isLieAbelian
theorem lie_abelian_iff_equiv_lie_abelian {R : Type u} {L₁ : Type v} {L₂ : Type w} [CommRing R]
[LieRing L₁] [LieRing L₂] [LieAlgebra R L₁] [LieAlgebra R L₂] (e : L₁ ≃ₗ⁅R⁆ L₂) :
IsLieAbelian L₁ ↔ IsLieAbelian L₂ :=
⟨e.symm.injective.isLieAbelian, e.injective.isLieAbelian⟩
#align lie_abelian_iff_equiv_lie_abelian lie_abelian_iff_equiv_lie_abelian
theorem commutative_ring_iff_abelian_lie_ring {A : Type v} [Ring A] :
Std.Commutative (α := A) (· * ·) ↔ IsLieAbelian A := by
have h₁ : Std.Commutative (α := A) (· * ·) ↔ ∀ a b : A, a * b = b * a :=
⟨fun h => h.1, fun h => ⟨h⟩⟩
have h₂ : IsLieAbelian A ↔ ∀ a b : A, ⁅a, b⁆ = 0 := ⟨fun h => h.1, fun h => ⟨h⟩⟩
simp only [h₁, h₂, LieRing.of_associative_ring_bracket, sub_eq_zero]
#align commutative_ring_iff_abelian_lie_ring commutative_ring_iff_abelian_lie_ring
section Center
variable (R : Type u) (L : Type v) (M : Type w) (N : Type w₁)
variable [CommRing R] [LieRing L] [LieAlgebra R L]
variable [AddCommGroup M] [Module R M] [LieRingModule L M] [LieModule R L M]
variable [AddCommGroup N] [Module R N] [LieRingModule L N] [LieModule R L N]
namespace LieModule
/-- The kernel of the action of a Lie algebra `L` on a Lie module `M` as a Lie ideal in `L`. -/
protected def ker : LieIdeal R L :=
(toEnd R L M).ker
#align lie_module.ker LieModule.ker
@[simp]
protected theorem mem_ker (x : L) : x ∈ LieModule.ker R L M ↔ ∀ m : M, ⁅x, m⁆ = 0 := by
simp only [LieModule.ker, LieHom.mem_ker, LinearMap.ext_iff, LinearMap.zero_apply,
toEnd_apply_apply]
#align lie_module.mem_ker LieModule.mem_ker
/-- The largest submodule of a Lie module `M` on which the Lie algebra `L` acts trivially. -/
def maxTrivSubmodule : LieSubmodule R L M where
carrier := { m | ∀ x : L, ⁅x, m⁆ = 0 }
zero_mem' x := lie_zero x
add_mem' {x y} hx hy z := by rw [lie_add, hx, hy, add_zero]
smul_mem' c x hx y := by rw [lie_smul, hx, smul_zero]
lie_mem {x m} hm y := by rw [hm, lie_zero]
#align lie_module.max_triv_submodule LieModule.maxTrivSubmodule
@[simp]
theorem mem_maxTrivSubmodule (m : M) : m ∈ maxTrivSubmodule R L M ↔ ∀ x : L, ⁅x, m⁆ = 0 :=
Iff.rfl
#align lie_module.mem_max_triv_submodule LieModule.mem_maxTrivSubmodule
instance : IsTrivial L (maxTrivSubmodule R L M) where trivial x m := Subtype.ext (m.property x)
@[simp]
theorem ideal_oper_maxTrivSubmodule_eq_bot (I : LieIdeal R L) :
⁅I, maxTrivSubmodule R L M⁆ = ⊥ := by
rw [← LieSubmodule.coe_toSubmodule_eq_iff, LieSubmodule.lieIdeal_oper_eq_linear_span,
LieSubmodule.bot_coeSubmodule, Submodule.span_eq_bot]
rintro m ⟨⟨x, hx⟩, ⟨⟨m, hm⟩, rfl⟩⟩
exact hm x
#align lie_module.ideal_oper_max_triv_submodule_eq_bot LieModule.ideal_oper_maxTrivSubmodule_eq_bot
theorem le_max_triv_iff_bracket_eq_bot {N : LieSubmodule R L M} :
N ≤ maxTrivSubmodule R L M ↔ ⁅(⊤ : LieIdeal R L), N⁆ = ⊥ := by
refine ⟨fun h => ?_, fun h m hm => ?_⟩
· rw [← le_bot_iff, ← ideal_oper_maxTrivSubmodule_eq_bot R L M ⊤]
exact LieSubmodule.mono_lie_right _ _ ⊤ h
· rw [mem_maxTrivSubmodule]
rw [LieSubmodule.lie_eq_bot_iff] at h
exact fun x => h x (LieSubmodule.mem_top x) m hm
#align lie_module.le_max_triv_iff_bracket_eq_bot LieModule.le_max_triv_iff_bracket_eq_bot
theorem trivial_iff_le_maximal_trivial (N : LieSubmodule R L M) :
IsTrivial L N ↔ N ≤ maxTrivSubmodule R L M :=
⟨fun h m hm x => IsTrivial.casesOn h fun h => Subtype.ext_iff.mp (h x ⟨m, hm⟩), fun h =>
{ trivial := fun x m => Subtype.ext (h m.2 x) }⟩
#align lie_module.trivial_iff_le_maximal_trivial LieModule.trivial_iff_le_maximal_trivial
theorem isTrivial_iff_max_triv_eq_top : IsTrivial L M ↔ maxTrivSubmodule R L M = ⊤ := by
constructor
· rintro ⟨h⟩; ext; simp only [mem_maxTrivSubmodule, h, forall_const, LieSubmodule.mem_top]
· intro h; constructor; intro x m; revert x
rw [← mem_maxTrivSubmodule R L M, h]; exact LieSubmodule.mem_top m
#align lie_module.is_trivial_iff_max_triv_eq_top LieModule.isTrivial_iff_max_triv_eq_top
variable {R L M N}
/-- `maxTrivSubmodule` is functorial. -/
def maxTrivHom (f : M →ₗ⁅R,L⁆ N) : maxTrivSubmodule R L M →ₗ⁅R,L⁆ maxTrivSubmodule R L N where
toFun m := ⟨f m, fun x =>
(LieModuleHom.map_lie _ _ _).symm.trans <|
(congr_arg f (m.property x)).trans (LieModuleHom.map_zero _)⟩
map_add' m n := by simp [Function.comp_apply]; rfl -- Porting note:
map_smul' t m := by simp [Function.comp_apply]; rfl -- these two were `by simpa`
map_lie' {x m} := by simp
#align lie_module.max_triv_hom LieModule.maxTrivHom
@[norm_cast, simp]
theorem coe_maxTrivHom_apply (f : M →ₗ⁅R,L⁆ N) (m : maxTrivSubmodule R L M) :
(maxTrivHom f m : N) = f m :=
rfl
#align lie_module.coe_max_triv_hom_apply LieModule.coe_maxTrivHom_apply
/-- The maximal trivial submodules of Lie-equivalent Lie modules are Lie-equivalent. -/
def maxTrivEquiv (e : M ≃ₗ⁅R,L⁆ N) : maxTrivSubmodule R L M ≃ₗ⁅R,L⁆ maxTrivSubmodule R L N :=
{ maxTrivHom (e : M →ₗ⁅R,L⁆ N) with
toFun := maxTrivHom (e : M →ₗ⁅R,L⁆ N)
invFun := maxTrivHom (e.symm : N →ₗ⁅R,L⁆ M)
left_inv := fun m => by ext; simp [LieModuleEquiv.coe_to_lieModuleHom]
right_inv := fun n => by ext; simp [LieModuleEquiv.coe_to_lieModuleHom] }
#align lie_module.max_triv_equiv LieModule.maxTrivEquiv
@[norm_cast, simp]
theorem coe_maxTrivEquiv_apply (e : M ≃ₗ⁅R,L⁆ N) (m : maxTrivSubmodule R L M) :
(maxTrivEquiv e m : N) = e ↑m :=
rfl
#align lie_module.coe_max_triv_equiv_apply LieModule.coe_maxTrivEquiv_apply
@[simp]
theorem maxTrivEquiv_of_refl_eq_refl :
maxTrivEquiv (LieModuleEquiv.refl : M ≃ₗ⁅R,L⁆ M) = LieModuleEquiv.refl := by
ext; simp only [coe_maxTrivEquiv_apply, LieModuleEquiv.refl_apply]
#align lie_module.max_triv_equiv_of_refl_eq_refl LieModule.maxTrivEquiv_of_refl_eq_refl
@[simp]
theorem maxTrivEquiv_of_equiv_symm_eq_symm (e : M ≃ₗ⁅R,L⁆ N) :
(maxTrivEquiv e).symm = maxTrivEquiv e.symm :=
rfl
#align lie_module.max_triv_equiv_of_equiv_symm_eq_symm LieModule.maxTrivEquiv_of_equiv_symm_eq_symm
/-- A linear map between two Lie modules is a morphism of Lie modules iff the Lie algebra action
on it is trivial. -/
def maxTrivLinearMapEquivLieModuleHom : maxTrivSubmodule R L (M →ₗ[R] N) ≃ₗ[R] M →ₗ⁅R,L⁆ N where
toFun f :=
{ toLinearMap := f.val
map_lie' := fun {x m} => by
have hf : ⁅x, f.val⁆ m = 0 := by rw [f.property x, LinearMap.zero_apply]
rw [LieHom.lie_apply, sub_eq_zero, ← LinearMap.toFun_eq_coe] at hf; exact hf.symm}
map_add' f g := by ext; simp
map_smul' F G := by ext; simp
invFun F := ⟨F, fun x => by ext; simp⟩
left_inv f := by simp
right_inv F := by simp
#align lie_module.max_triv_linear_map_equiv_lie_module_hom LieModule.maxTrivLinearMapEquivLieModuleHom
@[simp]
| Mathlib/Algebra/Lie/Abelian.lean | 228 | 229 | theorem coe_maxTrivLinearMapEquivLieModuleHom (f : maxTrivSubmodule R L (M →ₗ[R] N)) :
(maxTrivLinearMapEquivLieModuleHom f : M → N) = f := by | ext; rfl
|
/-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Mario Carneiro, Kevin Buzzard, Yury Kudryashov, Frédéric Dupuis,
Heather Macbeth
-/
import Mathlib.Algebra.Module.Submodule.Ker
#align_import linear_algebra.basic from "leanprover-community/mathlib"@"9d684a893c52e1d6692a504a118bfccbae04feeb"
/-!
# Range of linear maps
The range `LinearMap.range` of a (semi)linear map `f : M → M₂` is a submodule of `M₂`.
More specifically, `LinearMap.range` applies to any `SemilinearMapClass` over a `RingHomSurjective`
ring homomorphism.
Note that this also means that dot notation (i.e. `f.range` for a linear map `f`) does not work.
## Notations
* We continue to use the notations `M →ₛₗ[σ] M₂` and `M →ₗ[R] M₂` for the type of semilinear
(resp. linear) maps from `M` to `M₂` over the ring homomorphism `σ` (resp. over the ring `R`).
## Tags
linear algebra, vector space, module, range
-/
open Function
variable {R : Type*} {R₂ : Type*} {R₃ : Type*}
variable {K : Type*} {K₂ : Type*}
variable {M : Type*} {M₂ : Type*} {M₃ : Type*}
variable {V : Type*} {V₂ : Type*}
namespace LinearMap
section AddCommMonoid
variable [Semiring R] [Semiring R₂] [Semiring R₃]
variable [AddCommMonoid M] [AddCommMonoid M₂] [AddCommMonoid M₃]
variable {σ₁₂ : R →+* R₂} {σ₂₃ : R₂ →+* R₃} {σ₁₃ : R →+* R₃}
variable [RingHomCompTriple σ₁₂ σ₂₃ σ₁₃]
variable [Module R M] [Module R₂ M₂] [Module R₃ M₃]
open Submodule
variable {σ₂₁ : R₂ →+* R} {τ₁₂ : R →+* R₂} {τ₂₃ : R₂ →+* R₃} {τ₁₃ : R →+* R₃}
variable [RingHomCompTriple τ₁₂ τ₂₃ τ₁₃]
section
variable {F : Type*} [FunLike F M M₂] [SemilinearMapClass F τ₁₂ M M₂]
/-- The range of a linear map `f : M → M₂` is a submodule of `M₂`.
See Note [range copy pattern]. -/
def range [RingHomSurjective τ₁₂] (f : F) : Submodule R₂ M₂ :=
(map f ⊤).copy (Set.range f) Set.image_univ.symm
#align linear_map.range LinearMap.range
theorem range_coe [RingHomSurjective τ₁₂] (f : F) : (range f : Set M₂) = Set.range f :=
rfl
#align linear_map.range_coe LinearMap.range_coe
theorem range_toAddSubmonoid [RingHomSurjective τ₁₂] (f : M →ₛₗ[τ₁₂] M₂) :
f.range.toAddSubmonoid = AddMonoidHom.mrange f :=
rfl
#align linear_map.range_to_add_submonoid LinearMap.range_toAddSubmonoid
@[simp]
theorem mem_range [RingHomSurjective τ₁₂] {f : F} {x} : x ∈ range f ↔ ∃ y, f y = x :=
Iff.rfl
#align linear_map.mem_range LinearMap.mem_range
theorem range_eq_map [RingHomSurjective τ₁₂] (f : F) : range f = map f ⊤ := by
ext
simp
#align linear_map.range_eq_map LinearMap.range_eq_map
theorem mem_range_self [RingHomSurjective τ₁₂] (f : F) (x : M) : f x ∈ range f :=
⟨x, rfl⟩
#align linear_map.mem_range_self LinearMap.mem_range_self
@[simp]
theorem range_id : range (LinearMap.id : M →ₗ[R] M) = ⊤ :=
SetLike.coe_injective Set.range_id
#align linear_map.range_id LinearMap.range_id
theorem range_comp [RingHomSurjective τ₁₂] [RingHomSurjective τ₂₃] [RingHomSurjective τ₁₃]
(f : M →ₛₗ[τ₁₂] M₂) (g : M₂ →ₛₗ[τ₂₃] M₃) : range (g.comp f : M →ₛₗ[τ₁₃] M₃) = map g (range f) :=
SetLike.coe_injective (Set.range_comp g f)
#align linear_map.range_comp LinearMap.range_comp
theorem range_comp_le_range [RingHomSurjective τ₂₃] [RingHomSurjective τ₁₃] (f : M →ₛₗ[τ₁₂] M₂)
(g : M₂ →ₛₗ[τ₂₃] M₃) : range (g.comp f : M →ₛₗ[τ₁₃] M₃) ≤ range g :=
SetLike.coe_mono (Set.range_comp_subset_range f g)
#align linear_map.range_comp_le_range LinearMap.range_comp_le_range
theorem range_eq_top [RingHomSurjective τ₁₂] {f : F} : range f = ⊤ ↔ Surjective f := by
rw [SetLike.ext'_iff, range_coe, top_coe, Set.range_iff_surjective]
#align linear_map.range_eq_top LinearMap.range_eq_top
theorem range_le_iff_comap [RingHomSurjective τ₁₂] {f : F} {p : Submodule R₂ M₂} :
range f ≤ p ↔ comap f p = ⊤ := by rw [range_eq_map, map_le_iff_le_comap, eq_top_iff]
#align linear_map.range_le_iff_comap LinearMap.range_le_iff_comap
theorem map_le_range [RingHomSurjective τ₁₂] {f : F} {p : Submodule R M} : map f p ≤ range f :=
SetLike.coe_mono (Set.image_subset_range f p)
#align linear_map.map_le_range LinearMap.map_le_range
@[simp]
theorem range_neg {R : Type*} {R₂ : Type*} {M : Type*} {M₂ : Type*} [Semiring R] [Ring R₂]
[AddCommMonoid M] [AddCommGroup M₂] [Module R M] [Module R₂ M₂] {τ₁₂ : R →+* R₂}
[RingHomSurjective τ₁₂] (f : M →ₛₗ[τ₁₂] M₂) : LinearMap.range (-f) = LinearMap.range f := by
change range ((-LinearMap.id : M₂ →ₗ[R₂] M₂).comp f) = _
rw [range_comp, Submodule.map_neg, Submodule.map_id]
#align linear_map.range_neg LinearMap.range_neg
lemma range_domRestrict_le_range [RingHomSurjective τ₁₂] (f : M →ₛₗ[τ₁₂] M₂) (S : Submodule R M) :
LinearMap.range (f.domRestrict S) ≤ LinearMap.range f := by
rintro x ⟨⟨y, hy⟩, rfl⟩
exact LinearMap.mem_range_self f y
@[simp]
theorem _root_.AddMonoidHom.coe_toIntLinearMap_range {M M₂ : Type*} [AddCommGroup M]
[AddCommGroup M₂] (f : M →+ M₂) :
LinearMap.range f.toIntLinearMap = AddSubgroup.toIntSubmodule f.range := rfl
lemma _root_.Submodule.map_comap_eq_of_le [RingHomSurjective τ₁₂] {f : F} {p : Submodule R₂ M₂}
(h : p ≤ LinearMap.range f) : (p.comap f).map f = p :=
SetLike.coe_injective <| Set.image_preimage_eq_of_subset h
end
/-- The decreasing sequence of submodules consisting of the ranges of the iterates of a linear map.
-/
@[simps]
def iterateRange (f : M →ₗ[R] M) : ℕ →o (Submodule R M)ᵒᵈ where
toFun n := LinearMap.range (f ^ n)
monotone' n m w x h := by
obtain ⟨c, rfl⟩ := le_iff_exists_add.mp w
rw [LinearMap.mem_range] at h
obtain ⟨m, rfl⟩ := h
rw [LinearMap.mem_range]
use (f ^ c) m
rw [pow_add, LinearMap.mul_apply]
#align linear_map.iterate_range LinearMap.iterateRange
/-- Restrict the codomain of a linear map `f` to `f.range`.
This is the bundled version of `Set.rangeFactorization`. -/
abbrev rangeRestrict [RingHomSurjective τ₁₂] (f : M →ₛₗ[τ₁₂] M₂) : M →ₛₗ[τ₁₂] LinearMap.range f :=
f.codRestrict (LinearMap.range f) (LinearMap.mem_range_self f)
#align linear_map.range_restrict LinearMap.rangeRestrict
/-- The range of a linear map is finite if the domain is finite.
Note: this instance can form a diamond with `Subtype.fintype` in the
presence of `Fintype M₂`. -/
instance fintypeRange [Fintype M] [DecidableEq M₂] [RingHomSurjective τ₁₂] (f : M →ₛₗ[τ₁₂] M₂) :
Fintype (range f) :=
Set.fintypeRange f
#align linear_map.fintype_range LinearMap.fintypeRange
variable {F : Type*} [FunLike F M M₂] [SemilinearMapClass F τ₁₂ M M₂]
theorem range_codRestrict {τ₂₁ : R₂ →+* R} [RingHomSurjective τ₂₁] (p : Submodule R M)
(f : M₂ →ₛₗ[τ₂₁] M) (hf) :
range (codRestrict p f hf) = comap p.subtype (LinearMap.range f) := by
simpa only [range_eq_map] using map_codRestrict _ _ _ _
#align linear_map.range_cod_restrict LinearMap.range_codRestrict
theorem _root_.Submodule.map_comap_eq [RingHomSurjective τ₁₂] (f : F) (q : Submodule R₂ M₂) :
map f (comap f q) = range f ⊓ q :=
le_antisymm (le_inf map_le_range (map_comap_le _ _)) <| by
rintro _ ⟨⟨x, _, rfl⟩, hx⟩; exact ⟨x, hx, rfl⟩
#align submodule.map_comap_eq Submodule.map_comap_eq
theorem _root_.Submodule.map_comap_eq_self [RingHomSurjective τ₁₂] {f : F} {q : Submodule R₂ M₂}
(h : q ≤ range f) : map f (comap f q) = q := by rwa [Submodule.map_comap_eq, inf_eq_right]
#align submodule.map_comap_eq_self Submodule.map_comap_eq_self
@[simp]
theorem range_zero [RingHomSurjective τ₁₂] : range (0 : M →ₛₗ[τ₁₂] M₂) = ⊥ := by
simpa only [range_eq_map] using Submodule.map_zero _
#align linear_map.range_zero LinearMap.range_zero
section
variable [RingHomSurjective τ₁₂]
theorem range_le_bot_iff (f : M →ₛₗ[τ₁₂] M₂) : range f ≤ ⊥ ↔ f = 0 := by
rw [range_le_iff_comap]; exact ker_eq_top
#align linear_map.range_le_bot_iff LinearMap.range_le_bot_iff
theorem range_eq_bot {f : M →ₛₗ[τ₁₂] M₂} : range f = ⊥ ↔ f = 0 := by
rw [← range_le_bot_iff, le_bot_iff]
#align linear_map.range_eq_bot LinearMap.range_eq_bot
theorem range_le_ker_iff {f : M →ₛₗ[τ₁₂] M₂} {g : M₂ →ₛₗ[τ₂₃] M₃} :
range f ≤ ker g ↔ (g.comp f : M →ₛₗ[τ₁₃] M₃) = 0 :=
⟨fun h => ker_eq_top.1 <| eq_top_iff'.2 fun x => h <| ⟨_, rfl⟩, fun h x hx =>
mem_ker.2 <| Exists.elim hx fun y hy => by rw [← hy, ← comp_apply, h, zero_apply]⟩
#align linear_map.range_le_ker_iff LinearMap.range_le_ker_iff
theorem comap_le_comap_iff {f : F} (hf : range f = ⊤) {p p'} : comap f p ≤ comap f p' ↔ p ≤ p' :=
⟨fun H x hx => by rcases range_eq_top.1 hf x with ⟨y, hy, rfl⟩; exact H hx, comap_mono⟩
#align linear_map.comap_le_comap_iff LinearMap.comap_le_comap_iff
theorem comap_injective {f : F} (hf : range f = ⊤) : Injective (comap f) := fun _ _ h =>
le_antisymm ((comap_le_comap_iff hf).1 (le_of_eq h)) ((comap_le_comap_iff hf).1 (ge_of_eq h))
#align linear_map.comap_injective LinearMap.comap_injective
end
end AddCommMonoid
section Ring
variable [Ring R] [Ring R₂] [Ring R₃]
variable [AddCommGroup M] [AddCommGroup M₂] [AddCommGroup M₃]
variable [Module R M] [Module R₂ M₂] [Module R₃ M₃]
variable {τ₁₂ : R →+* R₂} {τ₂₃ : R₂ →+* R₃} {τ₁₃ : R →+* R₃}
variable [RingHomCompTriple τ₁₂ τ₂₃ τ₁₃]
variable {F : Type*} [FunLike F M M₂] [SemilinearMapClass F τ₁₂ M M₂]
variable {f : F}
open Submodule
theorem range_toAddSubgroup [RingHomSurjective τ₁₂] (f : M →ₛₗ[τ₁₂] M₂) :
(range f).toAddSubgroup = f.toAddMonoidHom.range :=
rfl
#align linear_map.range_to_add_subgroup LinearMap.range_toAddSubgroup
theorem ker_le_iff [RingHomSurjective τ₁₂] {p : Submodule R M} :
ker f ≤ p ↔ ∃ y ∈ range f, f ⁻¹' {y} ⊆ p := by
constructor
· intro h
use 0
rw [← SetLike.mem_coe, range_coe]
exact ⟨⟨0, map_zero f⟩, h⟩
· rintro ⟨y, h₁, h₂⟩
rw [SetLike.le_def]
intro z hz
simp only [mem_ker, SetLike.mem_coe] at hz
rw [← SetLike.mem_coe, range_coe, Set.mem_range] at h₁
obtain ⟨x, hx⟩ := h₁
have hx' : x ∈ p := h₂ hx
have hxz : z + x ∈ p := by
apply h₂
simp [hx, hz]
suffices z + x - x ∈ p by simpa only [this, add_sub_cancel_right]
exact p.sub_mem hxz hx'
#align linear_map.ker_le_iff LinearMap.ker_le_iff
end Ring
section Semifield
variable [Semifield K] [Semifield K₂]
variable [AddCommMonoid V] [Module K V]
variable [AddCommMonoid V₂] [Module K V₂]
theorem range_smul (f : V →ₗ[K] V₂) (a : K) (h : a ≠ 0) : range (a • f) = range f := by
simpa only [range_eq_map] using Submodule.map_smul f _ a h
#align linear_map.range_smul LinearMap.range_smul
theorem range_smul' (f : V →ₗ[K] V₂) (a : K) :
range (a • f) = ⨆ _ : a ≠ 0, range f := by
simpa only [range_eq_map] using Submodule.map_smul' f _ a
#align linear_map.range_smul' LinearMap.range_smul'
end Semifield
end LinearMap
namespace Submodule
section AddCommMonoid
variable [Semiring R] [Semiring R₂] [AddCommMonoid M] [AddCommMonoid M₂]
variable [Module R M] [Module R₂ M₂]
variable (p p' : Submodule R M) (q : Submodule R₂ M₂)
variable {τ₁₂ : R →+* R₂}
variable {F : Type*} [FunLike F M M₂] [SemilinearMapClass F τ₁₂ M M₂]
open LinearMap
@[simp]
theorem map_top [RingHomSurjective τ₁₂] (f : F) : map f ⊤ = range f :=
(range_eq_map f).symm
#align submodule.map_top Submodule.map_top
@[simp]
theorem range_subtype : range p.subtype = p := by simpa using map_comap_subtype p ⊤
#align submodule.range_subtype Submodule.range_subtype
theorem map_subtype_le (p' : Submodule R p) : map p.subtype p' ≤ p := by
simpa using (map_le_range : map p.subtype p' ≤ range p.subtype)
#align submodule.map_subtype_le Submodule.map_subtype_le
/-- Under the canonical linear map from a submodule `p` to the ambient space `M`, the image of the
maximal submodule of `p` is just `p`. -/
-- @[simp] -- Porting note (#10618): simp can prove this
theorem map_subtype_top : map p.subtype (⊤ : Submodule R p) = p := by simp
#align submodule.map_subtype_top Submodule.map_subtype_top
@[simp]
theorem comap_subtype_eq_top {p p' : Submodule R M} : comap p.subtype p' = ⊤ ↔ p ≤ p' :=
eq_top_iff.trans <| map_le_iff_le_comap.symm.trans <| by rw [map_subtype_top]
#align submodule.comap_subtype_eq_top Submodule.comap_subtype_eq_top
@[simp]
theorem comap_subtype_self : comap p.subtype p = ⊤ :=
comap_subtype_eq_top.2 le_rfl
#align submodule.comap_subtype_self Submodule.comap_subtype_self
theorem range_inclusion (p q : Submodule R M) (h : p ≤ q) :
range (inclusion h) = comap q.subtype p := by
rw [← map_top, inclusion, LinearMap.map_codRestrict, map_top, range_subtype]
#align submodule.range_of_le Submodule.range_inclusion
@[simp]
theorem map_subtype_range_inclusion {p p' : Submodule R M} (h : p ≤ p') :
map p'.subtype (range <| inclusion h) = p := by simp [range_inclusion, map_comap_eq, h]
#align submodule.map_subtype_range_of_le Submodule.map_subtype_range_inclusion
/-- If `N ⊆ M` then submodules of `N` are the same as submodules of `M` contained in `N`.
See also `Submodule.mapIic`. -/
def MapSubtype.relIso : Submodule R p ≃o { p' : Submodule R M // p' ≤ p } where
toFun p' := ⟨map p.subtype p', map_subtype_le p _⟩
invFun q := comap p.subtype q
left_inv p' := comap_map_eq_of_injective (by exact Subtype.val_injective) p'
right_inv := fun ⟨q, hq⟩ => Subtype.ext_val <| by simp [map_comap_subtype p, inf_of_le_right hq]
map_rel_iff' {p₁ p₂} := Subtype.coe_le_coe.symm.trans <| by
dsimp
rw [map_le_iff_le_comap,
comap_map_eq_of_injective (show Injective p.subtype from Subtype.coe_injective) p₂]
#align submodule.map_subtype.rel_iso Submodule.MapSubtype.relIso
/-- If `p ⊆ M` is a submodule, the ordering of submodules of `p` is embedded in the ordering of
submodules of `M`. -/
def MapSubtype.orderEmbedding : Submodule R p ↪o Submodule R M :=
(RelIso.toRelEmbedding <| MapSubtype.relIso p).trans <|
Subtype.relEmbedding (X := Submodule R M) (fun p p' ↦ p ≤ p') _
#align submodule.map_subtype.order_embedding Submodule.MapSubtype.orderEmbedding
@[simp]
theorem map_subtype_embedding_eq (p' : Submodule R p) :
MapSubtype.orderEmbedding p p' = map p.subtype p' :=
rfl
#align submodule.map_subtype_embedding_eq Submodule.map_subtype_embedding_eq
/-- If `N ⊆ M` then submodules of `N` are the same as submodules of `M` contained in `N`. -/
def mapIic [Semiring R] [AddCommMonoid M] [Module R M] (p : Submodule R M) :
Submodule R p ≃o Set.Iic p :=
Submodule.MapSubtype.relIso p
@[simp] lemma coe_mapIic_apply [Semiring R] [AddCommMonoid M] [Module R M]
(p : Submodule R M) (q : Submodule R p) :
(p.mapIic q : Submodule R M) = q.map p.subtype :=
rfl
end AddCommMonoid
end Submodule
namespace LinearMap
section Semiring
variable [Semiring R] [Semiring R₂] [Semiring R₃]
variable [AddCommMonoid M] [AddCommMonoid M₂] [AddCommMonoid M₃]
variable [Module R M] [Module R₂ M₂] [Module R₃ M₃]
variable {τ₁₂ : R →+* R₂} {τ₂₃ : R₂ →+* R₃} {τ₁₃ : R →+* R₃}
variable [RingHomCompTriple τ₁₂ τ₂₃ τ₁₃]
/-- A monomorphism is injective. -/
theorem ker_eq_bot_of_cancel {f : M →ₛₗ[τ₁₂] M₂}
(h : ∀ u v : ker f →ₗ[R] M, f.comp u = f.comp v → u = v) : ker f = ⊥ := by
have h₁ : f.comp (0 : ker f →ₗ[R] M) = 0 := comp_zero _
rw [← Submodule.range_subtype (ker f),
← h 0 f.ker.subtype (Eq.trans h₁ (comp_ker_subtype f).symm)]
exact range_zero
#align linear_map.ker_eq_bot_of_cancel LinearMap.ker_eq_bot_of_cancel
theorem range_comp_of_range_eq_top [RingHomSurjective τ₁₂] [RingHomSurjective τ₂₃]
[RingHomSurjective τ₁₃] {f : M →ₛₗ[τ₁₂] M₂} (g : M₂ →ₛₗ[τ₂₃] M₃) (hf : range f = ⊤) :
range (g.comp f : M →ₛₗ[τ₁₃] M₃) = range g := by rw [range_comp, hf, Submodule.map_top]
#align linear_map.range_comp_of_range_eq_top LinearMap.range_comp_of_range_eq_top
section Image
/-- If `O` is a submodule of `M`, and `Φ : O →ₗ M'` is a linear map,
then `(ϕ : O →ₗ M').submoduleImage N` is `ϕ(N)` as a submodule of `M'` -/
def submoduleImage {M' : Type*} [AddCommMonoid M'] [Module R M'] {O : Submodule R M}
(ϕ : O →ₗ[R] M') (N : Submodule R M) : Submodule R M' :=
(N.comap O.subtype).map ϕ
#align linear_map.submodule_image LinearMap.submoduleImage
@[simp]
theorem mem_submoduleImage {M' : Type*} [AddCommMonoid M'] [Module R M'] {O : Submodule R M}
{ϕ : O →ₗ[R] M'} {N : Submodule R M} {x : M'} :
x ∈ ϕ.submoduleImage N ↔ ∃ (y : _) (yO : y ∈ O), y ∈ N ∧ ϕ ⟨y, yO⟩ = x := by
refine Submodule.mem_map.trans ⟨?_, ?_⟩ <;> simp_rw [Submodule.mem_comap]
· rintro ⟨⟨y, yO⟩, yN : y ∈ N, h⟩
exact ⟨y, yO, yN, h⟩
· rintro ⟨y, yO, yN, h⟩
exact ⟨⟨y, yO⟩, yN, h⟩
#align linear_map.mem_submodule_image LinearMap.mem_submoduleImage
theorem mem_submoduleImage_of_le {M' : Type*} [AddCommMonoid M'] [Module R M'] {O : Submodule R M}
{ϕ : O →ₗ[R] M'} {N : Submodule R M} (hNO : N ≤ O) {x : M'} :
x ∈ ϕ.submoduleImage N ↔ ∃ (y : _) (yN : y ∈ N), ϕ ⟨y, hNO yN⟩ = x := by
refine mem_submoduleImage.trans ⟨?_, ?_⟩
· rintro ⟨y, yO, yN, h⟩
exact ⟨y, yN, h⟩
· rintro ⟨y, yN, h⟩
exact ⟨y, hNO yN, yN, h⟩
#align linear_map.mem_submodule_image_of_le LinearMap.mem_submoduleImage_of_le
theorem submoduleImage_apply_of_le {M' : Type*} [AddCommGroup M'] [Module R M']
{O : Submodule R M} (ϕ : O →ₗ[R] M') (N : Submodule R M) (hNO : N ≤ O) :
ϕ.submoduleImage N = range (ϕ.comp (Submodule.inclusion hNO)) := by
rw [submoduleImage, range_comp, Submodule.range_inclusion]
#align linear_map.submodule_image_apply_of_le LinearMap.submoduleImage_apply_of_le
end Image
section rangeRestrict
variable [RingHomSurjective τ₁₂] (f : M →ₛₗ[τ₁₂] M₂)
@[simp] theorem range_rangeRestrict : range f.rangeRestrict = ⊤ := by simp [f.range_codRestrict _]
#align linear_map.range_range_restrict LinearMap.range_rangeRestrict
| Mathlib/Algebra/Module/Submodule/Range.lean | 437 | 438 | theorem surjective_rangeRestrict : Surjective f.rangeRestrict := by |
rw [← range_eq_top, range_rangeRestrict]
|
/-
Copyright (c) 2018 Kenny Lau. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Kenny Lau
-/
import Mathlib.Algebra.BigOperators.GroupWithZero.Finset
import Mathlib.Algebra.Group.Submonoid.Membership
import Mathlib.Algebra.Module.LinearMap.Basic
import Mathlib.Data.Finset.Preimage
import Mathlib.Data.Set.Finite
import Mathlib.GroupTheory.GroupAction.BigOperators
#align_import data.dfinsupp.basic from "leanprover-community/mathlib"@"6623e6af705e97002a9054c1c05a980180276fc1"
/-!
# Dependent functions with finite support
For a non-dependent version see `data/finsupp.lean`.
## Notation
This file introduces the notation `Π₀ a, β a` as notation for `DFinsupp β`, mirroring the `α →₀ β`
notation used for `Finsupp`. This works for nested binders too, with `Π₀ a b, γ a b` as notation
for `DFinsupp (fun a ↦ DFinsupp (γ a))`.
## Implementation notes
The support is internally represented (in the primed `DFinsupp.support'`) as a `Multiset` that
represents a superset of the true support of the function, quotiented by the always-true relation so
that this does not impact equality. This approach has computational benefits over storing a
`Finset`; it allows us to add together two finitely-supported functions without
having to evaluate the resulting function to recompute its support (which would required
decidability of `b = 0` for `b : β i`).
The true support of the function can still be recovered with `DFinsupp.support`; but these
decidability obligations are now postponed to when the support is actually needed. As a consequence,
there are two ways to sum a `DFinsupp`: with `DFinsupp.sum` which works over an arbitrary function
but requires recomputation of the support and therefore a `Decidable` argument; and with
`DFinsupp.sumAddHom` which requires an additive morphism, using its properties to show that
summing over a superset of the support is sufficient.
`Finsupp` takes an altogether different approach here; it uses `Classical.Decidable` and declares
the `Add` instance as noncomputable. This design difference is independent of the fact that
`DFinsupp` is dependently-typed and `Finsupp` is not; in future, we may want to align these two
definitions, or introduce two more definitions for the other combinations of decisions.
-/
universe u u₁ u₂ v v₁ v₂ v₃ w x y l
variable {ι : Type u} {γ : Type w} {β : ι → Type v} {β₁ : ι → Type v₁} {β₂ : ι → Type v₂}
variable (β)
/-- A dependent function `Π i, β i` with finite support, with notation `Π₀ i, β i`.
Note that `DFinsupp.support` is the preferred API for accessing the support of the function,
`DFinsupp.support'` is an implementation detail that aids computability; see the implementation
notes in this file for more information. -/
structure DFinsupp [∀ i, Zero (β i)] : Type max u v where mk' ::
/-- The underlying function of a dependent function with finite support (aka `DFinsupp`). -/
toFun : ∀ i, β i
/-- The support of a dependent function with finite support (aka `DFinsupp`). -/
support' : Trunc { s : Multiset ι // ∀ i, i ∈ s ∨ toFun i = 0 }
#align dfinsupp DFinsupp
variable {β}
/-- `Π₀ i, β i` denotes the type of dependent functions with finite support `DFinsupp β`. -/
notation3 "Π₀ "(...)", "r:(scoped f => DFinsupp f) => r
namespace DFinsupp
section Basic
variable [∀ i, Zero (β i)] [∀ i, Zero (β₁ i)] [∀ i, Zero (β₂ i)]
instance instDFunLike : DFunLike (Π₀ i, β i) ι β :=
⟨fun f => f.toFun, fun ⟨f₁, s₁⟩ ⟨f₂, s₁⟩ ↦ fun (h : f₁ = f₂) ↦ by
subst h
congr
apply Subsingleton.elim ⟩
#align dfinsupp.fun_like DFinsupp.instDFunLike
/-- Helper instance for when there are too many metavariables to apply `DFunLike.coeFunForall`
directly. -/
instance : CoeFun (Π₀ i, β i) fun _ => ∀ i, β i :=
inferInstance
@[simp]
theorem toFun_eq_coe (f : Π₀ i, β i) : f.toFun = f :=
rfl
#align dfinsupp.to_fun_eq_coe DFinsupp.toFun_eq_coe
@[ext]
theorem ext {f g : Π₀ i, β i} (h : ∀ i, f i = g i) : f = g :=
DFunLike.ext _ _ h
#align dfinsupp.ext DFinsupp.ext
#align dfinsupp.ext_iff DFunLike.ext_iff
#align dfinsupp.coe_fn_injective DFunLike.coe_injective
lemma ne_iff {f g : Π₀ i, β i} : f ≠ g ↔ ∃ i, f i ≠ g i := DFunLike.ne_iff
instance : Zero (Π₀ i, β i) :=
⟨⟨0, Trunc.mk <| ⟨∅, fun _ => Or.inr rfl⟩⟩⟩
instance : Inhabited (Π₀ i, β i) :=
⟨0⟩
@[simp, norm_cast] lemma coe_mk' (f : ∀ i, β i) (s) : ⇑(⟨f, s⟩ : Π₀ i, β i) = f := rfl
#align dfinsupp.coe_mk' DFinsupp.coe_mk'
@[simp, norm_cast] lemma coe_zero : ⇑(0 : Π₀ i, β i) = 0 := rfl
#align dfinsupp.coe_zero DFinsupp.coe_zero
theorem zero_apply (i : ι) : (0 : Π₀ i, β i) i = 0 :=
rfl
#align dfinsupp.zero_apply DFinsupp.zero_apply
/-- The composition of `f : β₁ → β₂` and `g : Π₀ i, β₁ i` is
`mapRange f hf g : Π₀ i, β₂ i`, well defined when `f 0 = 0`.
This preserves the structure on `f`, and exists in various bundled forms for when `f` is itself
bundled:
* `DFinsupp.mapRange.addMonoidHom`
* `DFinsupp.mapRange.addEquiv`
* `dfinsupp.mapRange.linearMap`
* `dfinsupp.mapRange.linearEquiv`
-/
def mapRange (f : ∀ i, β₁ i → β₂ i) (hf : ∀ i, f i 0 = 0) (x : Π₀ i, β₁ i) : Π₀ i, β₂ i :=
⟨fun i => f i (x i),
x.support'.map fun s => ⟨s.1, fun i => (s.2 i).imp_right fun h : x i = 0 => by
rw [← hf i, ← h]⟩⟩
#align dfinsupp.map_range DFinsupp.mapRange
@[simp]
theorem mapRange_apply (f : ∀ i, β₁ i → β₂ i) (hf : ∀ i, f i 0 = 0) (g : Π₀ i, β₁ i) (i : ι) :
mapRange f hf g i = f i (g i) :=
rfl
#align dfinsupp.map_range_apply DFinsupp.mapRange_apply
@[simp]
theorem mapRange_id (h : ∀ i, id (0 : β₁ i) = 0 := fun i => rfl) (g : Π₀ i : ι, β₁ i) :
mapRange (fun i => (id : β₁ i → β₁ i)) h g = g := by
ext
rfl
#align dfinsupp.map_range_id DFinsupp.mapRange_id
theorem mapRange_comp (f : ∀ i, β₁ i → β₂ i) (f₂ : ∀ i, β i → β₁ i) (hf : ∀ i, f i 0 = 0)
(hf₂ : ∀ i, f₂ i 0 = 0) (h : ∀ i, (f i ∘ f₂ i) 0 = 0) (g : Π₀ i : ι, β i) :
mapRange (fun i => f i ∘ f₂ i) h g = mapRange f hf (mapRange f₂ hf₂ g) := by
ext
simp only [mapRange_apply]; rfl
#align dfinsupp.map_range_comp DFinsupp.mapRange_comp
@[simp]
theorem mapRange_zero (f : ∀ i, β₁ i → β₂ i) (hf : ∀ i, f i 0 = 0) :
mapRange f hf (0 : Π₀ i, β₁ i) = 0 := by
ext
simp only [mapRange_apply, coe_zero, Pi.zero_apply, hf]
#align dfinsupp.map_range_zero DFinsupp.mapRange_zero
/-- Let `f i` be a binary operation `β₁ i → β₂ i → β i` such that `f i 0 0 = 0`.
Then `zipWith f hf` is a binary operation `Π₀ i, β₁ i → Π₀ i, β₂ i → Π₀ i, β i`. -/
def zipWith (f : ∀ i, β₁ i → β₂ i → β i) (hf : ∀ i, f i 0 0 = 0) (x : Π₀ i, β₁ i) (y : Π₀ i, β₂ i) :
Π₀ i, β i :=
⟨fun i => f i (x i) (y i), by
refine x.support'.bind fun xs => ?_
refine y.support'.map fun ys => ?_
refine ⟨xs + ys, fun i => ?_⟩
obtain h1 | (h1 : x i = 0) := xs.prop i
· left
rw [Multiset.mem_add]
left
exact h1
obtain h2 | (h2 : y i = 0) := ys.prop i
· left
rw [Multiset.mem_add]
right
exact h2
right; rw [← hf, ← h1, ← h2]⟩
#align dfinsupp.zip_with DFinsupp.zipWith
@[simp]
theorem zipWith_apply (f : ∀ i, β₁ i → β₂ i → β i) (hf : ∀ i, f i 0 0 = 0) (g₁ : Π₀ i, β₁ i)
(g₂ : Π₀ i, β₂ i) (i : ι) : zipWith f hf g₁ g₂ i = f i (g₁ i) (g₂ i) :=
rfl
#align dfinsupp.zip_with_apply DFinsupp.zipWith_apply
section Piecewise
variable (x y : Π₀ i, β i) (s : Set ι) [∀ i, Decidable (i ∈ s)]
/-- `x.piecewise y s` is the finitely supported function equal to `x` on the set `s`,
and to `y` on its complement. -/
def piecewise : Π₀ i, β i :=
zipWith (fun i x y => if i ∈ s then x else y) (fun _ => ite_self 0) x y
#align dfinsupp.piecewise DFinsupp.piecewise
theorem piecewise_apply (i : ι) : x.piecewise y s i = if i ∈ s then x i else y i :=
zipWith_apply _ _ x y i
#align dfinsupp.piecewise_apply DFinsupp.piecewise_apply
@[simp, norm_cast]
theorem coe_piecewise : ⇑(x.piecewise y s) = s.piecewise x y := by
ext
apply piecewise_apply
#align dfinsupp.coe_piecewise DFinsupp.coe_piecewise
end Piecewise
end Basic
section Algebra
instance [∀ i, AddZeroClass (β i)] : Add (Π₀ i, β i) :=
⟨zipWith (fun _ => (· + ·)) fun _ => add_zero 0⟩
theorem add_apply [∀ i, AddZeroClass (β i)] (g₁ g₂ : Π₀ i, β i) (i : ι) :
(g₁ + g₂) i = g₁ i + g₂ i :=
rfl
#align dfinsupp.add_apply DFinsupp.add_apply
@[simp, norm_cast]
theorem coe_add [∀ i, AddZeroClass (β i)] (g₁ g₂ : Π₀ i, β i) : ⇑(g₁ + g₂) = g₁ + g₂ :=
rfl
#align dfinsupp.coe_add DFinsupp.coe_add
instance addZeroClass [∀ i, AddZeroClass (β i)] : AddZeroClass (Π₀ i, β i) :=
DFunLike.coe_injective.addZeroClass _ coe_zero coe_add
instance instIsLeftCancelAdd [∀ i, AddZeroClass (β i)] [∀ i, IsLeftCancelAdd (β i)] :
IsLeftCancelAdd (Π₀ i, β i) where
add_left_cancel _ _ _ h := ext fun x => add_left_cancel <| DFunLike.congr_fun h x
instance instIsRightCancelAdd [∀ i, AddZeroClass (β i)] [∀ i, IsRightCancelAdd (β i)] :
IsRightCancelAdd (Π₀ i, β i) where
add_right_cancel _ _ _ h := ext fun x => add_right_cancel <| DFunLike.congr_fun h x
instance instIsCancelAdd [∀ i, AddZeroClass (β i)] [∀ i, IsCancelAdd (β i)] :
IsCancelAdd (Π₀ i, β i) where
/-- Note the general `SMul` instance doesn't apply as `ℕ` is not distributive
unless `β i`'s addition is commutative. -/
instance hasNatScalar [∀ i, AddMonoid (β i)] : SMul ℕ (Π₀ i, β i) :=
⟨fun c v => v.mapRange (fun _ => (c • ·)) fun _ => nsmul_zero _⟩
#align dfinsupp.has_nat_scalar DFinsupp.hasNatScalar
theorem nsmul_apply [∀ i, AddMonoid (β i)] (b : ℕ) (v : Π₀ i, β i) (i : ι) : (b • v) i = b • v i :=
rfl
#align dfinsupp.nsmul_apply DFinsupp.nsmul_apply
@[simp, norm_cast]
theorem coe_nsmul [∀ i, AddMonoid (β i)] (b : ℕ) (v : Π₀ i, β i) : ⇑(b • v) = b • ⇑v :=
rfl
#align dfinsupp.coe_nsmul DFinsupp.coe_nsmul
instance [∀ i, AddMonoid (β i)] : AddMonoid (Π₀ i, β i) :=
DFunLike.coe_injective.addMonoid _ coe_zero coe_add fun _ _ => coe_nsmul _ _
/-- Coercion from a `DFinsupp` to a pi type is an `AddMonoidHom`. -/
def coeFnAddMonoidHom [∀ i, AddZeroClass (β i)] : (Π₀ i, β i) →+ ∀ i, β i where
toFun := (⇑)
map_zero' := coe_zero
map_add' := coe_add
#align dfinsupp.coe_fn_add_monoid_hom DFinsupp.coeFnAddMonoidHom
/-- Evaluation at a point is an `AddMonoidHom`. This is the finitely-supported version of
`Pi.evalAddMonoidHom`. -/
def evalAddMonoidHom [∀ i, AddZeroClass (β i)] (i : ι) : (Π₀ i, β i) →+ β i :=
(Pi.evalAddMonoidHom β i).comp coeFnAddMonoidHom
#align dfinsupp.eval_add_monoid_hom DFinsupp.evalAddMonoidHom
instance addCommMonoid [∀ i, AddCommMonoid (β i)] : AddCommMonoid (Π₀ i, β i) :=
DFunLike.coe_injective.addCommMonoid _ coe_zero coe_add fun _ _ => coe_nsmul _ _
@[simp, norm_cast]
theorem coe_finset_sum {α} [∀ i, AddCommMonoid (β i)] (s : Finset α) (g : α → Π₀ i, β i) :
⇑(∑ a ∈ s, g a) = ∑ a ∈ s, ⇑(g a) :=
map_sum coeFnAddMonoidHom g s
#align dfinsupp.coe_finset_sum DFinsupp.coe_finset_sum
@[simp]
theorem finset_sum_apply {α} [∀ i, AddCommMonoid (β i)] (s : Finset α) (g : α → Π₀ i, β i) (i : ι) :
(∑ a ∈ s, g a) i = ∑ a ∈ s, g a i :=
map_sum (evalAddMonoidHom i) g s
#align dfinsupp.finset_sum_apply DFinsupp.finset_sum_apply
instance [∀ i, AddGroup (β i)] : Neg (Π₀ i, β i) :=
⟨fun f => f.mapRange (fun _ => Neg.neg) fun _ => neg_zero⟩
theorem neg_apply [∀ i, AddGroup (β i)] (g : Π₀ i, β i) (i : ι) : (-g) i = -g i :=
rfl
#align dfinsupp.neg_apply DFinsupp.neg_apply
@[simp, norm_cast] lemma coe_neg [∀ i, AddGroup (β i)] (g : Π₀ i, β i) : ⇑(-g) = -g := rfl
#align dfinsupp.coe_neg DFinsupp.coe_neg
instance [∀ i, AddGroup (β i)] : Sub (Π₀ i, β i) :=
⟨zipWith (fun _ => Sub.sub) fun _ => sub_zero 0⟩
theorem sub_apply [∀ i, AddGroup (β i)] (g₁ g₂ : Π₀ i, β i) (i : ι) : (g₁ - g₂) i = g₁ i - g₂ i :=
rfl
#align dfinsupp.sub_apply DFinsupp.sub_apply
@[simp, norm_cast]
theorem coe_sub [∀ i, AddGroup (β i)] (g₁ g₂ : Π₀ i, β i) : ⇑(g₁ - g₂) = g₁ - g₂ :=
rfl
#align dfinsupp.coe_sub DFinsupp.coe_sub
/-- Note the general `SMul` instance doesn't apply as `ℤ` is not distributive
unless `β i`'s addition is commutative. -/
instance hasIntScalar [∀ i, AddGroup (β i)] : SMul ℤ (Π₀ i, β i) :=
⟨fun c v => v.mapRange (fun _ => (c • ·)) fun _ => zsmul_zero _⟩
#align dfinsupp.has_int_scalar DFinsupp.hasIntScalar
theorem zsmul_apply [∀ i, AddGroup (β i)] (b : ℤ) (v : Π₀ i, β i) (i : ι) : (b • v) i = b • v i :=
rfl
#align dfinsupp.zsmul_apply DFinsupp.zsmul_apply
@[simp, norm_cast]
theorem coe_zsmul [∀ i, AddGroup (β i)] (b : ℤ) (v : Π₀ i, β i) : ⇑(b • v) = b • ⇑v :=
rfl
#align dfinsupp.coe_zsmul DFinsupp.coe_zsmul
instance [∀ i, AddGroup (β i)] : AddGroup (Π₀ i, β i) :=
DFunLike.coe_injective.addGroup _ coe_zero coe_add coe_neg coe_sub (fun _ _ => coe_nsmul _ _)
fun _ _ => coe_zsmul _ _
instance addCommGroup [∀ i, AddCommGroup (β i)] : AddCommGroup (Π₀ i, β i) :=
DFunLike.coe_injective.addCommGroup _ coe_zero coe_add coe_neg coe_sub (fun _ _ => coe_nsmul _ _)
fun _ _ => coe_zsmul _ _
/-- Dependent functions with finite support inherit a semiring action from an action on each
coordinate. -/
instance [Monoid γ] [∀ i, AddMonoid (β i)] [∀ i, DistribMulAction γ (β i)] : SMul γ (Π₀ i, β i) :=
⟨fun c v => v.mapRange (fun _ => (c • ·)) fun _ => smul_zero _⟩
theorem smul_apply [Monoid γ] [∀ i, AddMonoid (β i)] [∀ i, DistribMulAction γ (β i)] (b : γ)
(v : Π₀ i, β i) (i : ι) : (b • v) i = b • v i :=
rfl
#align dfinsupp.smul_apply DFinsupp.smul_apply
@[simp, norm_cast]
theorem coe_smul [Monoid γ] [∀ i, AddMonoid (β i)] [∀ i, DistribMulAction γ (β i)] (b : γ)
(v : Π₀ i, β i) : ⇑(b • v) = b • ⇑v :=
rfl
#align dfinsupp.coe_smul DFinsupp.coe_smul
instance smulCommClass {δ : Type*} [Monoid γ] [Monoid δ] [∀ i, AddMonoid (β i)]
[∀ i, DistribMulAction γ (β i)] [∀ i, DistribMulAction δ (β i)] [∀ i, SMulCommClass γ δ (β i)] :
SMulCommClass γ δ (Π₀ i, β i) where
smul_comm r s m := ext fun i => by simp only [smul_apply, smul_comm r s (m i)]
instance isScalarTower {δ : Type*} [Monoid γ] [Monoid δ] [∀ i, AddMonoid (β i)]
[∀ i, DistribMulAction γ (β i)] [∀ i, DistribMulAction δ (β i)] [SMul γ δ]
[∀ i, IsScalarTower γ δ (β i)] : IsScalarTower γ δ (Π₀ i, β i) where
smul_assoc r s m := ext fun i => by simp only [smul_apply, smul_assoc r s (m i)]
instance isCentralScalar [Monoid γ] [∀ i, AddMonoid (β i)] [∀ i, DistribMulAction γ (β i)]
[∀ i, DistribMulAction γᵐᵒᵖ (β i)] [∀ i, IsCentralScalar γ (β i)] :
IsCentralScalar γ (Π₀ i, β i) where
op_smul_eq_smul r m := ext fun i => by simp only [smul_apply, op_smul_eq_smul r (m i)]
/-- Dependent functions with finite support inherit a `DistribMulAction` structure from such a
structure on each coordinate. -/
instance distribMulAction [Monoid γ] [∀ i, AddMonoid (β i)] [∀ i, DistribMulAction γ (β i)] :
DistribMulAction γ (Π₀ i, β i) :=
Function.Injective.distribMulAction coeFnAddMonoidHom DFunLike.coe_injective coe_smul
/-- Dependent functions with finite support inherit a module structure from such a structure on
each coordinate. -/
instance module [Semiring γ] [∀ i, AddCommMonoid (β i)] [∀ i, Module γ (β i)] :
Module γ (Π₀ i, β i) :=
{ inferInstanceAs (DistribMulAction γ (Π₀ i, β i)) with
zero_smul := fun c => ext fun i => by simp only [smul_apply, zero_smul, zero_apply]
add_smul := fun c x y => ext fun i => by simp only [add_apply, smul_apply, add_smul] }
#align dfinsupp.module DFinsupp.module
end Algebra
section FilterAndSubtypeDomain
/-- `Filter p f` is the function which is `f i` if `p i` is true and 0 otherwise. -/
def filter [∀ i, Zero (β i)] (p : ι → Prop) [DecidablePred p] (x : Π₀ i, β i) : Π₀ i, β i :=
⟨fun i => if p i then x i else 0,
x.support'.map fun xs =>
⟨xs.1, fun i => (xs.prop i).imp_right fun H : x i = 0 => by simp only [H, ite_self]⟩⟩
#align dfinsupp.filter DFinsupp.filter
@[simp]
theorem filter_apply [∀ i, Zero (β i)] (p : ι → Prop) [DecidablePred p] (i : ι) (f : Π₀ i, β i) :
f.filter p i = if p i then f i else 0 :=
rfl
#align dfinsupp.filter_apply DFinsupp.filter_apply
theorem filter_apply_pos [∀ i, Zero (β i)] {p : ι → Prop} [DecidablePred p] (f : Π₀ i, β i) {i : ι}
(h : p i) : f.filter p i = f i := by simp only [filter_apply, if_pos h]
#align dfinsupp.filter_apply_pos DFinsupp.filter_apply_pos
theorem filter_apply_neg [∀ i, Zero (β i)] {p : ι → Prop} [DecidablePred p] (f : Π₀ i, β i) {i : ι}
(h : ¬p i) : f.filter p i = 0 := by simp only [filter_apply, if_neg h]
#align dfinsupp.filter_apply_neg DFinsupp.filter_apply_neg
theorem filter_pos_add_filter_neg [∀ i, AddZeroClass (β i)] (f : Π₀ i, β i) (p : ι → Prop)
[DecidablePred p] : (f.filter p + f.filter fun i => ¬p i) = f :=
ext fun i => by
simp only [add_apply, filter_apply]; split_ifs <;> simp only [add_zero, zero_add]
#align dfinsupp.filter_pos_add_filter_neg DFinsupp.filter_pos_add_filter_neg
@[simp]
theorem filter_zero [∀ i, Zero (β i)] (p : ι → Prop) [DecidablePred p] :
(0 : Π₀ i, β i).filter p = 0 := by
ext
simp
#align dfinsupp.filter_zero DFinsupp.filter_zero
@[simp]
theorem filter_add [∀ i, AddZeroClass (β i)] (p : ι → Prop) [DecidablePred p] (f g : Π₀ i, β i) :
(f + g).filter p = f.filter p + g.filter p := by
ext
simp [ite_add_zero]
#align dfinsupp.filter_add DFinsupp.filter_add
@[simp]
theorem filter_smul [Monoid γ] [∀ i, AddMonoid (β i)] [∀ i, DistribMulAction γ (β i)] (p : ι → Prop)
[DecidablePred p] (r : γ) (f : Π₀ i, β i) : (r • f).filter p = r • f.filter p := by
ext
simp [smul_apply, smul_ite]
#align dfinsupp.filter_smul DFinsupp.filter_smul
variable (γ β)
/-- `DFinsupp.filter` as an `AddMonoidHom`. -/
@[simps]
def filterAddMonoidHom [∀ i, AddZeroClass (β i)] (p : ι → Prop) [DecidablePred p] :
(Π₀ i, β i) →+ Π₀ i, β i where
toFun := filter p
map_zero' := filter_zero p
map_add' := filter_add p
#align dfinsupp.filter_add_monoid_hom DFinsupp.filterAddMonoidHom
#align dfinsupp.filter_add_monoid_hom_apply DFinsupp.filterAddMonoidHom_apply
/-- `DFinsupp.filter` as a `LinearMap`. -/
@[simps]
def filterLinearMap [Semiring γ] [∀ i, AddCommMonoid (β i)] [∀ i, Module γ (β i)] (p : ι → Prop)
[DecidablePred p] : (Π₀ i, β i) →ₗ[γ] Π₀ i, β i where
toFun := filter p
map_add' := filter_add p
map_smul' := filter_smul p
#align dfinsupp.filter_linear_map DFinsupp.filterLinearMap
#align dfinsupp.filter_linear_map_apply DFinsupp.filterLinearMap_apply
variable {γ β}
@[simp]
theorem filter_neg [∀ i, AddGroup (β i)] (p : ι → Prop) [DecidablePred p] (f : Π₀ i, β i) :
(-f).filter p = -f.filter p :=
(filterAddMonoidHom β p).map_neg f
#align dfinsupp.filter_neg DFinsupp.filter_neg
@[simp]
theorem filter_sub [∀ i, AddGroup (β i)] (p : ι → Prop) [DecidablePred p] (f g : Π₀ i, β i) :
(f - g).filter p = f.filter p - g.filter p :=
(filterAddMonoidHom β p).map_sub f g
#align dfinsupp.filter_sub DFinsupp.filter_sub
/-- `subtypeDomain p f` is the restriction of the finitely supported function
`f` to the subtype `p`. -/
def subtypeDomain [∀ i, Zero (β i)] (p : ι → Prop) [DecidablePred p] (x : Π₀ i, β i) :
Π₀ i : Subtype p, β i :=
⟨fun i => x (i : ι),
x.support'.map fun xs =>
⟨(Multiset.filter p xs.1).attach.map fun j => ⟨j.1, (Multiset.mem_filter.1 j.2).2⟩, fun i =>
(xs.prop i).imp_left fun H =>
Multiset.mem_map.2
⟨⟨i, Multiset.mem_filter.2 ⟨H, i.2⟩⟩, Multiset.mem_attach _ _, Subtype.eta _ _⟩⟩⟩
#align dfinsupp.subtype_domain DFinsupp.subtypeDomain
@[simp]
theorem subtypeDomain_zero [∀ i, Zero (β i)] {p : ι → Prop} [DecidablePred p] :
subtypeDomain p (0 : Π₀ i, β i) = 0 :=
rfl
#align dfinsupp.subtype_domain_zero DFinsupp.subtypeDomain_zero
@[simp]
theorem subtypeDomain_apply [∀ i, Zero (β i)] {p : ι → Prop} [DecidablePred p] {i : Subtype p}
{v : Π₀ i, β i} : (subtypeDomain p v) i = v i :=
rfl
#align dfinsupp.subtype_domain_apply DFinsupp.subtypeDomain_apply
@[simp]
theorem subtypeDomain_add [∀ i, AddZeroClass (β i)] {p : ι → Prop} [DecidablePred p]
(v v' : Π₀ i, β i) : (v + v').subtypeDomain p = v.subtypeDomain p + v'.subtypeDomain p :=
DFunLike.coe_injective rfl
#align dfinsupp.subtype_domain_add DFinsupp.subtypeDomain_add
@[simp]
theorem subtypeDomain_smul [Monoid γ] [∀ i, AddMonoid (β i)] [∀ i, DistribMulAction γ (β i)]
{p : ι → Prop} [DecidablePred p] (r : γ) (f : Π₀ i, β i) :
(r • f).subtypeDomain p = r • f.subtypeDomain p :=
DFunLike.coe_injective rfl
#align dfinsupp.subtype_domain_smul DFinsupp.subtypeDomain_smul
variable (γ β)
/-- `subtypeDomain` but as an `AddMonoidHom`. -/
@[simps]
def subtypeDomainAddMonoidHom [∀ i, AddZeroClass (β i)] (p : ι → Prop) [DecidablePred p] :
(Π₀ i : ι, β i) →+ Π₀ i : Subtype p, β i where
toFun := subtypeDomain p
map_zero' := subtypeDomain_zero
map_add' := subtypeDomain_add
#align dfinsupp.subtype_domain_add_monoid_hom DFinsupp.subtypeDomainAddMonoidHom
#align dfinsupp.subtype_domain_add_monoid_hom_apply DFinsupp.subtypeDomainAddMonoidHom_apply
/-- `DFinsupp.subtypeDomain` as a `LinearMap`. -/
@[simps]
def subtypeDomainLinearMap [Semiring γ] [∀ i, AddCommMonoid (β i)] [∀ i, Module γ (β i)]
(p : ι → Prop) [DecidablePred p] : (Π₀ i, β i) →ₗ[γ] Π₀ i : Subtype p, β i where
toFun := subtypeDomain p
map_add' := subtypeDomain_add
map_smul' := subtypeDomain_smul
#align dfinsupp.subtype_domain_linear_map DFinsupp.subtypeDomainLinearMap
#align dfinsupp.subtype_domain_linear_map_apply DFinsupp.subtypeDomainLinearMap_apply
variable {γ β}
@[simp]
theorem subtypeDomain_neg [∀ i, AddGroup (β i)] {p : ι → Prop} [DecidablePred p] {v : Π₀ i, β i} :
(-v).subtypeDomain p = -v.subtypeDomain p :=
DFunLike.coe_injective rfl
#align dfinsupp.subtype_domain_neg DFinsupp.subtypeDomain_neg
@[simp]
theorem subtypeDomain_sub [∀ i, AddGroup (β i)] {p : ι → Prop} [DecidablePred p]
{v v' : Π₀ i, β i} : (v - v').subtypeDomain p = v.subtypeDomain p - v'.subtypeDomain p :=
DFunLike.coe_injective rfl
#align dfinsupp.subtype_domain_sub DFinsupp.subtypeDomain_sub
end FilterAndSubtypeDomain
variable [DecidableEq ι]
section Basic
variable [∀ i, Zero (β i)]
theorem finite_support (f : Π₀ i, β i) : Set.Finite { i | f i ≠ 0 } :=
Trunc.induction_on f.support' fun xs ↦
xs.1.finite_toSet.subset fun i H ↦ ((xs.prop i).resolve_right H)
#align dfinsupp.finite_support DFinsupp.finite_support
/-- Create an element of `Π₀ i, β i` from a finset `s` and a function `x`
defined on this `Finset`. -/
def mk (s : Finset ι) (x : ∀ i : (↑s : Set ι), β (i : ι)) : Π₀ i, β i :=
⟨fun i => if H : i ∈ s then x ⟨i, H⟩ else 0,
Trunc.mk ⟨s.1, fun i => if H : i ∈ s then Or.inl H else Or.inr <| dif_neg H⟩⟩
#align dfinsupp.mk DFinsupp.mk
variable {s : Finset ι} {x : ∀ i : (↑s : Set ι), β i} {i : ι}
@[simp]
theorem mk_apply : (mk s x : ∀ i, β i) i = if H : i ∈ s then x ⟨i, H⟩ else 0 :=
rfl
#align dfinsupp.mk_apply DFinsupp.mk_apply
theorem mk_of_mem (hi : i ∈ s) : (mk s x : ∀ i, β i) i = x ⟨i, hi⟩ :=
dif_pos hi
#align dfinsupp.mk_of_mem DFinsupp.mk_of_mem
theorem mk_of_not_mem (hi : i ∉ s) : (mk s x : ∀ i, β i) i = 0 :=
dif_neg hi
#align dfinsupp.mk_of_not_mem DFinsupp.mk_of_not_mem
theorem mk_injective (s : Finset ι) : Function.Injective (@mk ι β _ _ s) := by
intro x y H
ext i
have h1 : (mk s x : ∀ i, β i) i = (mk s y : ∀ i, β i) i := by rw [H]
obtain ⟨i, hi : i ∈ s⟩ := i
dsimp only [mk_apply, Subtype.coe_mk] at h1
simpa only [dif_pos hi] using h1
#align dfinsupp.mk_injective DFinsupp.mk_injective
instance unique [∀ i, Subsingleton (β i)] : Unique (Π₀ i, β i) :=
DFunLike.coe_injective.unique
#align dfinsupp.unique DFinsupp.unique
instance uniqueOfIsEmpty [IsEmpty ι] : Unique (Π₀ i, β i) :=
DFunLike.coe_injective.unique
#align dfinsupp.unique_of_is_empty DFinsupp.uniqueOfIsEmpty
/-- Given `Fintype ι`, `equivFunOnFintype` is the `Equiv` between `Π₀ i, β i` and `Π i, β i`.
(All dependent functions on a finite type are finitely supported.) -/
@[simps apply]
def equivFunOnFintype [Fintype ι] : (Π₀ i, β i) ≃ ∀ i, β i where
toFun := (⇑)
invFun f := ⟨f, Trunc.mk ⟨Finset.univ.1, fun _ => Or.inl <| Finset.mem_univ_val _⟩⟩
left_inv _ := DFunLike.coe_injective rfl
right_inv _ := rfl
#align dfinsupp.equiv_fun_on_fintype DFinsupp.equivFunOnFintype
#align dfinsupp.equiv_fun_on_fintype_apply DFinsupp.equivFunOnFintype_apply
@[simp]
theorem equivFunOnFintype_symm_coe [Fintype ι] (f : Π₀ i, β i) : equivFunOnFintype.symm f = f :=
Equiv.symm_apply_apply _ _
#align dfinsupp.equiv_fun_on_fintype_symm_coe DFinsupp.equivFunOnFintype_symm_coe
/-- The function `single i b : Π₀ i, β i` sends `i` to `b`
and all other points to `0`. -/
def single (i : ι) (b : β i) : Π₀ i, β i :=
⟨Pi.single i b,
Trunc.mk ⟨{i}, fun j => (Decidable.eq_or_ne j i).imp (by simp) fun h => Pi.single_eq_of_ne h _⟩⟩
#align dfinsupp.single DFinsupp.single
theorem single_eq_pi_single {i b} : ⇑(single i b : Π₀ i, β i) = Pi.single i b :=
rfl
#align dfinsupp.single_eq_pi_single DFinsupp.single_eq_pi_single
@[simp]
theorem single_apply {i i' b} :
(single i b : Π₀ i, β i) i' = if h : i = i' then Eq.recOn h b else 0 := by
rw [single_eq_pi_single, Pi.single, Function.update]
simp [@eq_comm _ i i']
#align dfinsupp.single_apply DFinsupp.single_apply
@[simp]
theorem single_zero (i) : (single i 0 : Π₀ i, β i) = 0 :=
DFunLike.coe_injective <| Pi.single_zero _
#align dfinsupp.single_zero DFinsupp.single_zero
-- @[simp] -- Porting note (#10618): simp can prove this
theorem single_eq_same {i b} : (single i b : Π₀ i, β i) i = b := by
simp only [single_apply, dite_eq_ite, ite_true]
#align dfinsupp.single_eq_same DFinsupp.single_eq_same
theorem single_eq_of_ne {i i' b} (h : i ≠ i') : (single i b : Π₀ i, β i) i' = 0 := by
simp only [single_apply, dif_neg h]
#align dfinsupp.single_eq_of_ne DFinsupp.single_eq_of_ne
theorem single_injective {i} : Function.Injective (single i : β i → Π₀ i, β i) := fun _ _ H =>
Pi.single_injective β i <| DFunLike.coe_injective.eq_iff.mpr H
#align dfinsupp.single_injective DFinsupp.single_injective
/-- Like `Finsupp.single_eq_single_iff`, but with a `HEq` due to dependent types -/
theorem single_eq_single_iff (i j : ι) (xi : β i) (xj : β j) :
DFinsupp.single i xi = DFinsupp.single j xj ↔ i = j ∧ HEq xi xj ∨ xi = 0 ∧ xj = 0 := by
constructor
· intro h
by_cases hij : i = j
· subst hij
exact Or.inl ⟨rfl, heq_of_eq (DFinsupp.single_injective h)⟩
· have h_coe : ⇑(DFinsupp.single i xi) = DFinsupp.single j xj := congr_arg (⇑) h
have hci := congr_fun h_coe i
have hcj := congr_fun h_coe j
rw [DFinsupp.single_eq_same] at hci hcj
rw [DFinsupp.single_eq_of_ne (Ne.symm hij)] at hci
rw [DFinsupp.single_eq_of_ne hij] at hcj
exact Or.inr ⟨hci, hcj.symm⟩
· rintro (⟨rfl, hxi⟩ | ⟨hi, hj⟩)
· rw [eq_of_heq hxi]
· rw [hi, hj, DFinsupp.single_zero, DFinsupp.single_zero]
#align dfinsupp.single_eq_single_iff DFinsupp.single_eq_single_iff
/-- `DFinsupp.single a b` is injective in `a`. For the statement that it is injective in `b`, see
`DFinsupp.single_injective` -/
theorem single_left_injective {b : ∀ i : ι, β i} (h : ∀ i, b i ≠ 0) :
Function.Injective (fun i => single i (b i) : ι → Π₀ i, β i) := fun _ _ H =>
(((single_eq_single_iff _ _ _ _).mp H).resolve_right fun hb => h _ hb.1).left
#align dfinsupp.single_left_injective DFinsupp.single_left_injective
@[simp]
theorem single_eq_zero {i : ι} {xi : β i} : single i xi = 0 ↔ xi = 0 := by
rw [← single_zero i, single_eq_single_iff]
simp
#align dfinsupp.single_eq_zero DFinsupp.single_eq_zero
theorem filter_single (p : ι → Prop) [DecidablePred p] (i : ι) (x : β i) :
(single i x).filter p = if p i then single i x else 0 := by
ext j
have := apply_ite (fun x : Π₀ i, β i => x j) (p i) (single i x) 0
dsimp at this
rw [filter_apply, this]
obtain rfl | hij := Decidable.eq_or_ne i j
· rfl
· rw [single_eq_of_ne hij, ite_self, ite_self]
#align dfinsupp.filter_single DFinsupp.filter_single
@[simp]
theorem filter_single_pos {p : ι → Prop} [DecidablePred p] (i : ι) (x : β i) (h : p i) :
(single i x).filter p = single i x := by rw [filter_single, if_pos h]
#align dfinsupp.filter_single_pos DFinsupp.filter_single_pos
@[simp]
theorem filter_single_neg {p : ι → Prop} [DecidablePred p] (i : ι) (x : β i) (h : ¬p i) :
(single i x).filter p = 0 := by rw [filter_single, if_neg h]
#align dfinsupp.filter_single_neg DFinsupp.filter_single_neg
/-- Equality of sigma types is sufficient (but not necessary) to show equality of `DFinsupp`s. -/
theorem single_eq_of_sigma_eq {i j} {xi : β i} {xj : β j} (h : (⟨i, xi⟩ : Sigma β) = ⟨j, xj⟩) :
DFinsupp.single i xi = DFinsupp.single j xj := by
cases h
rfl
#align dfinsupp.single_eq_of_sigma_eq DFinsupp.single_eq_of_sigma_eq
@[simp]
theorem equivFunOnFintype_single [Fintype ι] (i : ι) (m : β i) :
(@DFinsupp.equivFunOnFintype ι β _ _) (DFinsupp.single i m) = Pi.single i m := by
ext x
dsimp [Pi.single, Function.update]
simp [DFinsupp.single_eq_pi_single, @eq_comm _ i]
#align dfinsupp.equiv_fun_on_fintype_single DFinsupp.equivFunOnFintype_single
@[simp]
theorem equivFunOnFintype_symm_single [Fintype ι] (i : ι) (m : β i) :
(@DFinsupp.equivFunOnFintype ι β _ _).symm (Pi.single i m) = DFinsupp.single i m := by
ext i'
simp only [← single_eq_pi_single, equivFunOnFintype_symm_coe]
#align dfinsupp.equiv_fun_on_fintype_symm_single DFinsupp.equivFunOnFintype_symm_single
section SingleAndZipWith
variable [∀ i, Zero (β₁ i)] [∀ i, Zero (β₂ i)]
@[simp]
theorem zipWith_single_single (f : ∀ i, β₁ i → β₂ i → β i) (hf : ∀ i, f i 0 0 = 0)
{i} (b₁ : β₁ i) (b₂ : β₂ i) :
zipWith f hf (single i b₁) (single i b₂) = single i (f i b₁ b₂) := by
ext j
rw [zipWith_apply]
obtain rfl | hij := Decidable.eq_or_ne i j
· rw [single_eq_same, single_eq_same, single_eq_same]
· rw [single_eq_of_ne hij, single_eq_of_ne hij, single_eq_of_ne hij, hf]
end SingleAndZipWith
/-- Redefine `f i` to be `0`. -/
def erase (i : ι) (x : Π₀ i, β i) : Π₀ i, β i :=
⟨fun j ↦ if j = i then 0 else x.1 j,
x.support'.map fun xs ↦ ⟨xs.1, fun j ↦ (xs.prop j).imp_right (by simp only [·, ite_self])⟩⟩
#align dfinsupp.erase DFinsupp.erase
@[simp]
theorem erase_apply {i j : ι} {f : Π₀ i, β i} : (f.erase i) j = if j = i then 0 else f j :=
rfl
#align dfinsupp.erase_apply DFinsupp.erase_apply
-- @[simp] -- Porting note (#10618): simp can prove this
theorem erase_same {i : ι} {f : Π₀ i, β i} : (f.erase i) i = 0 := by simp
#align dfinsupp.erase_same DFinsupp.erase_same
theorem erase_ne {i i' : ι} {f : Π₀ i, β i} (h : i' ≠ i) : (f.erase i) i' = f i' := by simp [h]
#align dfinsupp.erase_ne DFinsupp.erase_ne
theorem piecewise_single_erase (x : Π₀ i, β i) (i : ι)
[∀ i' : ι, Decidable <| (i' ∈ ({i} : Set ι))] : -- Porting note: added Decidable hypothesis
(single i (x i)).piecewise (x.erase i) {i} = x := by
ext j; rw [piecewise_apply]; split_ifs with h
· rw [(id h : j = i), single_eq_same]
· exact erase_ne h
#align dfinsupp.piecewise_single_erase DFinsupp.piecewise_single_erase
theorem erase_eq_sub_single {β : ι → Type*} [∀ i, AddGroup (β i)] (f : Π₀ i, β i) (i : ι) :
f.erase i = f - single i (f i) := by
ext j
rcases eq_or_ne i j with (rfl | h)
· simp
· simp [erase_ne h.symm, single_eq_of_ne h, @eq_comm _ j, h]
#align dfinsupp.erase_eq_sub_single DFinsupp.erase_eq_sub_single
@[simp]
theorem erase_zero (i : ι) : erase i (0 : Π₀ i, β i) = 0 :=
ext fun _ => ite_self _
#align dfinsupp.erase_zero DFinsupp.erase_zero
@[simp]
theorem filter_ne_eq_erase (f : Π₀ i, β i) (i : ι) : f.filter (· ≠ i) = f.erase i := by
ext1 j
simp only [DFinsupp.filter_apply, DFinsupp.erase_apply, ite_not]
#align dfinsupp.filter_ne_eq_erase DFinsupp.filter_ne_eq_erase
@[simp]
theorem filter_ne_eq_erase' (f : Π₀ i, β i) (i : ι) : f.filter (i ≠ ·) = f.erase i := by
rw [← filter_ne_eq_erase f i]
congr with j
exact ne_comm
#align dfinsupp.filter_ne_eq_erase' DFinsupp.filter_ne_eq_erase'
theorem erase_single (j : ι) (i : ι) (x : β i) :
(single i x).erase j = if i = j then 0 else single i x := by
rw [← filter_ne_eq_erase, filter_single, ite_not]
#align dfinsupp.erase_single DFinsupp.erase_single
@[simp]
theorem erase_single_same (i : ι) (x : β i) : (single i x).erase i = 0 := by
rw [erase_single, if_pos rfl]
#align dfinsupp.erase_single_same DFinsupp.erase_single_same
@[simp]
theorem erase_single_ne {i j : ι} (x : β i) (h : i ≠ j) : (single i x).erase j = single i x := by
rw [erase_single, if_neg h]
#align dfinsupp.erase_single_ne DFinsupp.erase_single_ne
section Update
variable (f : Π₀ i, β i) (i) (b : β i)
/-- Replace the value of a `Π₀ i, β i` at a given point `i : ι` by a given value `b : β i`.
If `b = 0`, this amounts to removing `i` from the support.
Otherwise, `i` is added to it.
This is the (dependent) finitely-supported version of `Function.update`. -/
def update : Π₀ i, β i :=
⟨Function.update f i b,
f.support'.map fun s =>
⟨i ::ₘ s.1, fun j => by
rcases eq_or_ne i j with (rfl | hi)
· simp
· obtain hj | (hj : f j = 0) := s.prop j
· exact Or.inl (Multiset.mem_cons_of_mem hj)
· exact Or.inr ((Function.update_noteq hi.symm b _).trans hj)⟩⟩
#align dfinsupp.update DFinsupp.update
variable (j : ι)
@[simp, norm_cast] lemma coe_update : (f.update i b : ∀ i : ι, β i) = Function.update f i b := rfl
#align dfinsupp.coe_update DFinsupp.coe_update
@[simp]
theorem update_self : f.update i (f i) = f := by
ext
simp
#align dfinsupp.update_self DFinsupp.update_self
@[simp]
theorem update_eq_erase : f.update i 0 = f.erase i := by
ext j
rcases eq_or_ne i j with (rfl | hi)
· simp
· simp [hi.symm]
#align dfinsupp.update_eq_erase DFinsupp.update_eq_erase
theorem update_eq_single_add_erase {β : ι → Type*} [∀ i, AddZeroClass (β i)] (f : Π₀ i, β i)
(i : ι) (b : β i) : f.update i b = single i b + f.erase i := by
ext j
rcases eq_or_ne i j with (rfl | h)
· simp
· simp [Function.update_noteq h.symm, h, erase_ne, h.symm]
#align dfinsupp.update_eq_single_add_erase DFinsupp.update_eq_single_add_erase
theorem update_eq_erase_add_single {β : ι → Type*} [∀ i, AddZeroClass (β i)] (f : Π₀ i, β i)
(i : ι) (b : β i) : f.update i b = f.erase i + single i b := by
ext j
rcases eq_or_ne i j with (rfl | h)
· simp
· simp [Function.update_noteq h.symm, h, erase_ne, h.symm]
#align dfinsupp.update_eq_erase_add_single DFinsupp.update_eq_erase_add_single
theorem update_eq_sub_add_single {β : ι → Type*} [∀ i, AddGroup (β i)] (f : Π₀ i, β i) (i : ι)
(b : β i) : f.update i b = f - single i (f i) + single i b := by
rw [update_eq_erase_add_single f i b, erase_eq_sub_single f i]
#align dfinsupp.update_eq_sub_add_single DFinsupp.update_eq_sub_add_single
end Update
end Basic
section AddMonoid
variable [∀ i, AddZeroClass (β i)]
@[simp]
theorem single_add (i : ι) (b₁ b₂ : β i) : single i (b₁ + b₂) = single i b₁ + single i b₂ :=
(zipWith_single_single (fun _ => (· + ·)) _ b₁ b₂).symm
#align dfinsupp.single_add DFinsupp.single_add
@[simp]
theorem erase_add (i : ι) (f₁ f₂ : Π₀ i, β i) : erase i (f₁ + f₂) = erase i f₁ + erase i f₂ :=
ext fun _ => by simp [ite_zero_add]
#align dfinsupp.erase_add DFinsupp.erase_add
variable (β)
/-- `DFinsupp.single` as an `AddMonoidHom`. -/
@[simps]
def singleAddHom (i : ι) : β i →+ Π₀ i, β i where
toFun := single i
map_zero' := single_zero i
map_add' := single_add i
#align dfinsupp.single_add_hom DFinsupp.singleAddHom
#align dfinsupp.single_add_hom_apply DFinsupp.singleAddHom_apply
/-- `DFinsupp.erase` as an `AddMonoidHom`. -/
@[simps]
def eraseAddHom (i : ι) : (Π₀ i, β i) →+ Π₀ i, β i where
toFun := erase i
map_zero' := erase_zero i
map_add' := erase_add i
#align dfinsupp.erase_add_hom DFinsupp.eraseAddHom
#align dfinsupp.erase_add_hom_apply DFinsupp.eraseAddHom_apply
variable {β}
@[simp]
theorem single_neg {β : ι → Type v} [∀ i, AddGroup (β i)] (i : ι) (x : β i) :
single i (-x) = -single i x :=
(singleAddHom β i).map_neg x
#align dfinsupp.single_neg DFinsupp.single_neg
@[simp]
theorem single_sub {β : ι → Type v} [∀ i, AddGroup (β i)] (i : ι) (x y : β i) :
single i (x - y) = single i x - single i y :=
(singleAddHom β i).map_sub x y
#align dfinsupp.single_sub DFinsupp.single_sub
@[simp]
theorem erase_neg {β : ι → Type v} [∀ i, AddGroup (β i)] (i : ι) (f : Π₀ i, β i) :
(-f).erase i = -f.erase i :=
(eraseAddHom β i).map_neg f
#align dfinsupp.erase_neg DFinsupp.erase_neg
@[simp]
theorem erase_sub {β : ι → Type v} [∀ i, AddGroup (β i)] (i : ι) (f g : Π₀ i, β i) :
(f - g).erase i = f.erase i - g.erase i :=
(eraseAddHom β i).map_sub f g
#align dfinsupp.erase_sub DFinsupp.erase_sub
theorem single_add_erase (i : ι) (f : Π₀ i, β i) : single i (f i) + f.erase i = f :=
ext fun i' =>
if h : i = i' then by
subst h; simp only [add_apply, single_apply, erase_apply, add_zero, dite_eq_ite, if_true]
else by
simp only [add_apply, single_apply, erase_apply, dif_neg h, if_neg (Ne.symm h), zero_add]
#align dfinsupp.single_add_erase DFinsupp.single_add_erase
theorem erase_add_single (i : ι) (f : Π₀ i, β i) : f.erase i + single i (f i) = f :=
ext fun i' =>
if h : i = i' then by
subst h; simp only [add_apply, single_apply, erase_apply, zero_add, dite_eq_ite, if_true]
else by
simp only [add_apply, single_apply, erase_apply, dif_neg h, if_neg (Ne.symm h), add_zero]
#align dfinsupp.erase_add_single DFinsupp.erase_add_single
protected theorem induction {p : (Π₀ i, β i) → Prop} (f : Π₀ i, β i) (h0 : p 0)
(ha : ∀ (i b) (f : Π₀ i, β i), f i = 0 → b ≠ 0 → p f → p (single i b + f)) : p f := by
cases' f with f s
induction' s using Trunc.induction_on with s
cases' s with s H
induction' s using Multiset.induction_on with i s ih generalizing f
· have : f = 0 := funext fun i => (H i).resolve_left (Multiset.not_mem_zero _)
subst this
exact h0
have H2 : p (erase i ⟨f, Trunc.mk ⟨i ::ₘ s, H⟩⟩) := by
dsimp only [erase, Trunc.map, Trunc.bind, Trunc.liftOn, Trunc.lift_mk,
Function.comp, Subtype.coe_mk]
have H2 : ∀ j, j ∈ s ∨ ite (j = i) 0 (f j) = 0 := by
intro j
cases' H j with H2 H2
· cases' Multiset.mem_cons.1 H2 with H3 H3
· right; exact if_pos H3
· left; exact H3
right
split_ifs <;> [rfl; exact H2]
have H3 : ∀ aux, (⟨fun j : ι => ite (j = i) 0 (f j), Trunc.mk ⟨i ::ₘ s, aux⟩⟩ : Π₀ i, β i) =
⟨fun j : ι => ite (j = i) 0 (f j), Trunc.mk ⟨s, H2⟩⟩ :=
fun _ ↦ ext fun _ => rfl
rw [H3]
apply ih
have H3 : single i _ + _ = (⟨f, Trunc.mk ⟨i ::ₘ s, H⟩⟩ : Π₀ i, β i) := single_add_erase _ _
rw [← H3]
change p (single i (f i) + _)
cases' Classical.em (f i = 0) with h h
· rw [h, single_zero, zero_add]
exact H2
refine ha _ _ _ ?_ h H2
rw [erase_same]
#align dfinsupp.induction DFinsupp.induction
theorem induction₂ {p : (Π₀ i, β i) → Prop} (f : Π₀ i, β i) (h0 : p 0)
(ha : ∀ (i b) (f : Π₀ i, β i), f i = 0 → b ≠ 0 → p f → p (f + single i b)) : p f :=
DFinsupp.induction f h0 fun i b f h1 h2 h3 =>
have h4 : f + single i b = single i b + f := by
ext j; by_cases H : i = j
· subst H
simp [h1]
· simp [H]
Eq.recOn h4 <| ha i b f h1 h2 h3
#align dfinsupp.induction₂ DFinsupp.induction₂
@[simp]
theorem add_closure_iUnion_range_single :
AddSubmonoid.closure (⋃ i : ι, Set.range (single i : β i → Π₀ i, β i)) = ⊤ :=
top_unique fun x _ => by
apply DFinsupp.induction x
· exact AddSubmonoid.zero_mem _
exact fun a b f _ _ hf =>
AddSubmonoid.add_mem _
(AddSubmonoid.subset_closure <| Set.mem_iUnion.2 ⟨a, Set.mem_range_self _⟩) hf
#align dfinsupp.add_closure_Union_range_single DFinsupp.add_closure_iUnion_range_single
/-- If two additive homomorphisms from `Π₀ i, β i` are equal on each `single a b`, then
they are equal. -/
theorem addHom_ext {γ : Type w} [AddZeroClass γ] ⦃f g : (Π₀ i, β i) →+ γ⦄
(H : ∀ (i : ι) (y : β i), f (single i y) = g (single i y)) : f = g := by
refine AddMonoidHom.eq_of_eqOn_denseM add_closure_iUnion_range_single fun f hf => ?_
simp only [Set.mem_iUnion, Set.mem_range] at hf
rcases hf with ⟨x, y, rfl⟩
apply H
#align dfinsupp.add_hom_ext DFinsupp.addHom_ext
/-- If two additive homomorphisms from `Π₀ i, β i` are equal on each `single a b`, then
they are equal.
See note [partially-applied ext lemmas]. -/
@[ext]
theorem addHom_ext' {γ : Type w} [AddZeroClass γ] ⦃f g : (Π₀ i, β i) →+ γ⦄
(H : ∀ x, f.comp (singleAddHom β x) = g.comp (singleAddHom β x)) : f = g :=
addHom_ext fun x => DFunLike.congr_fun (H x)
#align dfinsupp.add_hom_ext' DFinsupp.addHom_ext'
end AddMonoid
@[simp]
theorem mk_add [∀ i, AddZeroClass (β i)] {s : Finset ι} {x y : ∀ i : (↑s : Set ι), β i} :
mk s (x + y) = mk s x + mk s y :=
ext fun i => by simp only [add_apply, mk_apply]; split_ifs <;> [rfl; rw [zero_add]]
#align dfinsupp.mk_add DFinsupp.mk_add
@[simp]
theorem mk_zero [∀ i, Zero (β i)] {s : Finset ι} : mk s (0 : ∀ i : (↑s : Set ι), β i.1) = 0 :=
ext fun i => by simp only [mk_apply]; split_ifs <;> rfl
#align dfinsupp.mk_zero DFinsupp.mk_zero
@[simp]
theorem mk_neg [∀ i, AddGroup (β i)] {s : Finset ι} {x : ∀ i : (↑s : Set ι), β i.1} :
mk s (-x) = -mk s x :=
ext fun i => by simp only [neg_apply, mk_apply]; split_ifs <;> [rfl; rw [neg_zero]]
#align dfinsupp.mk_neg DFinsupp.mk_neg
@[simp]
theorem mk_sub [∀ i, AddGroup (β i)] {s : Finset ι} {x y : ∀ i : (↑s : Set ι), β i.1} :
mk s (x - y) = mk s x - mk s y :=
ext fun i => by simp only [sub_apply, mk_apply]; split_ifs <;> [rfl; rw [sub_zero]]
#align dfinsupp.mk_sub DFinsupp.mk_sub
/-- If `s` is a subset of `ι` then `mk_addGroupHom s` is the canonical additive
group homomorphism from $\prod_{i\in s}\beta_i$ to $\prod_{\mathtt{i : \iota}}\beta_i.$-/
def mkAddGroupHom [∀ i, AddGroup (β i)] (s : Finset ι) :
(∀ i : (s : Set ι), β ↑i) →+ Π₀ i : ι, β i where
toFun := mk s
map_zero' := mk_zero
map_add' _ _ := mk_add
#align dfinsupp.mk_add_group_hom DFinsupp.mkAddGroupHom
section
variable [Monoid γ] [∀ i, AddMonoid (β i)] [∀ i, DistribMulAction γ (β i)]
@[simp]
theorem mk_smul {s : Finset ι} (c : γ) (x : ∀ i : (↑s : Set ι), β (i : ι)) :
mk s (c • x) = c • mk s x :=
ext fun i => by simp only [smul_apply, mk_apply]; split_ifs <;> [rfl; rw [smul_zero]]
#align dfinsupp.mk_smul DFinsupp.mk_smul
@[simp]
theorem single_smul {i : ι} (c : γ) (x : β i) : single i (c • x) = c • single i x :=
ext fun i => by
simp only [smul_apply, single_apply]
split_ifs with h
· cases h; rfl
· rw [smul_zero]
#align dfinsupp.single_smul DFinsupp.single_smul
end
section SupportBasic
variable [∀ i, Zero (β i)] [∀ (i) (x : β i), Decidable (x ≠ 0)]
/-- Set `{i | f x ≠ 0}` as a `Finset`. -/
def support (f : Π₀ i, β i) : Finset ι :=
(f.support'.lift fun xs => (Multiset.toFinset xs.1).filter fun i => f i ≠ 0) <| by
rintro ⟨sx, hx⟩ ⟨sy, hy⟩
dsimp only [Subtype.coe_mk, toFun_eq_coe] at *
ext i; constructor
· intro H
rcases Finset.mem_filter.1 H with ⟨_, h⟩
exact Finset.mem_filter.2 ⟨Multiset.mem_toFinset.2 <| (hy i).resolve_right h, h⟩
· intro H
rcases Finset.mem_filter.1 H with ⟨_, h⟩
exact Finset.mem_filter.2 ⟨Multiset.mem_toFinset.2 <| (hx i).resolve_right h, h⟩
#align dfinsupp.support DFinsupp.support
@[simp]
theorem support_mk_subset {s : Finset ι} {x : ∀ i : (↑s : Set ι), β i.1} : (mk s x).support ⊆ s :=
fun _ H => Multiset.mem_toFinset.1 (Finset.mem_filter.1 H).1
#align dfinsupp.support_mk_subset DFinsupp.support_mk_subset
@[simp]
theorem support_mk'_subset {f : ∀ i, β i} {s : Multiset ι} {h} :
(mk' f <| Trunc.mk ⟨s, h⟩).support ⊆ s.toFinset := fun i H =>
Multiset.mem_toFinset.1 <| by simpa using (Finset.mem_filter.1 H).1
#align dfinsupp.support_mk'_subset DFinsupp.support_mk'_subset
@[simp]
theorem mem_support_toFun (f : Π₀ i, β i) (i) : i ∈ f.support ↔ f i ≠ 0 := by
cases' f with f s
induction' s using Trunc.induction_on with s
dsimp only [support, Trunc.lift_mk]
rw [Finset.mem_filter, Multiset.mem_toFinset, coe_mk']
exact and_iff_right_of_imp (s.prop i).resolve_right
#align dfinsupp.mem_support_to_fun DFinsupp.mem_support_toFun
theorem eq_mk_support (f : Π₀ i, β i) : f = mk f.support fun i => f i := by aesop
#align dfinsupp.eq_mk_support DFinsupp.eq_mk_support
/-- Equivalence between dependent functions with finite support `s : Finset ι` and functions
`∀ i, {x : β i // x ≠ 0}`. -/
@[simps]
def subtypeSupportEqEquiv (s : Finset ι) :
{f : Π₀ i, β i // f.support = s} ≃ ∀ i : s, {x : β i // x ≠ 0} where
toFun | ⟨f, hf⟩ => fun ⟨i, hi⟩ ↦ ⟨f i, (f.mem_support_toFun i).1 <| hf.symm ▸ hi⟩
invFun f := ⟨mk s fun i ↦ (f i).1, Finset.ext fun i ↦ by
-- TODO: `simp` fails to use `(f _).2` inside `∃ _, _`
calc
i ∈ support (mk s fun i ↦ (f i).1) ↔ ∃ h : i ∈ s, (f ⟨i, h⟩).1 ≠ 0 := by simp
_ ↔ ∃ _ : i ∈ s, True := exists_congr fun h ↦ (iff_true _).mpr (f _).2
_ ↔ i ∈ s := by simp⟩
left_inv := by
rintro ⟨f, rfl⟩
ext i
simpa using Eq.symm
right_inv f := by
ext1
simp [Subtype.eta]; rfl
/-- Equivalence between all dependent finitely supported functions `f : Π₀ i, β i` and type
of pairs `⟨s : Finset ι, f : ∀ i : s, {x : β i // x ≠ 0}⟩`. -/
@[simps! apply_fst apply_snd_coe]
def sigmaFinsetFunEquiv : (Π₀ i, β i) ≃ Σ s : Finset ι, ∀ i : s, {x : β i // x ≠ 0} :=
(Equiv.sigmaFiberEquiv DFinsupp.support).symm.trans (.sigmaCongrRight subtypeSupportEqEquiv)
@[simp]
theorem support_zero : (0 : Π₀ i, β i).support = ∅ :=
rfl
#align dfinsupp.support_zero DFinsupp.support_zero
theorem mem_support_iff {f : Π₀ i, β i} {i : ι} : i ∈ f.support ↔ f i ≠ 0 :=
f.mem_support_toFun _
#align dfinsupp.mem_support_iff DFinsupp.mem_support_iff
theorem not_mem_support_iff {f : Π₀ i, β i} {i : ι} : i ∉ f.support ↔ f i = 0 :=
not_iff_comm.1 mem_support_iff.symm
#align dfinsupp.not_mem_support_iff DFinsupp.not_mem_support_iff
@[simp]
theorem support_eq_empty {f : Π₀ i, β i} : f.support = ∅ ↔ f = 0 :=
⟨fun H => ext <| by simpa [Finset.ext_iff] using H, by simp (config := { contextual := true })⟩
#align dfinsupp.support_eq_empty DFinsupp.support_eq_empty
instance decidableZero : DecidablePred (Eq (0 : Π₀ i, β i)) := fun _ =>
decidable_of_iff _ <| support_eq_empty.trans eq_comm
#align dfinsupp.decidable_zero DFinsupp.decidableZero
theorem support_subset_iff {s : Set ι} {f : Π₀ i, β i} : ↑f.support ⊆ s ↔ ∀ i ∉ s, f i = 0 := by
simp [Set.subset_def]; exact forall_congr' fun i => not_imp_comm
#align dfinsupp.support_subset_iff DFinsupp.support_subset_iff
theorem support_single_ne_zero {i : ι} {b : β i} (hb : b ≠ 0) : (single i b).support = {i} := by
ext j; by_cases h : i = j
· subst h
simp [hb]
simp [Ne.symm h, h]
#align dfinsupp.support_single_ne_zero DFinsupp.support_single_ne_zero
theorem support_single_subset {i : ι} {b : β i} : (single i b).support ⊆ {i} :=
support_mk'_subset
#align dfinsupp.support_single_subset DFinsupp.support_single_subset
section MapRangeAndZipWith
variable [∀ i, Zero (β₁ i)] [∀ i, Zero (β₂ i)]
theorem mapRange_def [∀ (i) (x : β₁ i), Decidable (x ≠ 0)] {f : ∀ i, β₁ i → β₂ i}
{hf : ∀ i, f i 0 = 0} {g : Π₀ i, β₁ i} :
mapRange f hf g = mk g.support fun i => f i.1 (g i.1) := by
ext i
by_cases h : g i ≠ 0 <;> simp at h <;> simp [h, hf]
#align dfinsupp.map_range_def DFinsupp.mapRange_def
@[simp]
theorem mapRange_single {f : ∀ i, β₁ i → β₂ i} {hf : ∀ i, f i 0 = 0} {i : ι} {b : β₁ i} :
mapRange f hf (single i b) = single i (f i b) :=
DFinsupp.ext fun i' => by
by_cases h : i = i'
· subst i'
simp
· simp [h, hf]
#align dfinsupp.map_range_single DFinsupp.mapRange_single
variable [∀ (i) (x : β₁ i), Decidable (x ≠ 0)] [∀ (i) (x : β₂ i), Decidable (x ≠ 0)]
theorem support_mapRange {f : ∀ i, β₁ i → β₂ i} {hf : ∀ i, f i 0 = 0} {g : Π₀ i, β₁ i} :
(mapRange f hf g).support ⊆ g.support := by simp [mapRange_def]
#align dfinsupp.support_map_range DFinsupp.support_mapRange
theorem zipWith_def {ι : Type u} {β : ι → Type v} {β₁ : ι → Type v₁} {β₂ : ι → Type v₂}
[dec : DecidableEq ι] [∀ i : ι, Zero (β i)] [∀ i : ι, Zero (β₁ i)] [∀ i : ι, Zero (β₂ i)]
[∀ (i : ι) (x : β₁ i), Decidable (x ≠ 0)] [∀ (i : ι) (x : β₂ i), Decidable (x ≠ 0)]
{f : ∀ i, β₁ i → β₂ i → β i} {hf : ∀ i, f i 0 0 = 0} {g₁ : Π₀ i, β₁ i} {g₂ : Π₀ i, β₂ i} :
zipWith f hf g₁ g₂ = mk (g₁.support ∪ g₂.support) fun i => f i.1 (g₁ i.1) (g₂ i.1) := by
ext i
by_cases h1 : g₁ i ≠ 0 <;> by_cases h2 : g₂ i ≠ 0 <;> simp only [not_not, Ne] at h1 h2 <;>
simp [h1, h2, hf]
#align dfinsupp.zip_with_def DFinsupp.zipWith_def
theorem support_zipWith {f : ∀ i, β₁ i → β₂ i → β i} {hf : ∀ i, f i 0 0 = 0} {g₁ : Π₀ i, β₁ i}
{g₂ : Π₀ i, β₂ i} : (zipWith f hf g₁ g₂).support ⊆ g₁.support ∪ g₂.support := by
simp [zipWith_def]
#align dfinsupp.support_zip_with DFinsupp.support_zipWith
end MapRangeAndZipWith
theorem erase_def (i : ι) (f : Π₀ i, β i) : f.erase i = mk (f.support.erase i) fun j => f j.1 := by
ext j
by_cases h1 : j = i <;> by_cases h2 : f j ≠ 0 <;> simp at h2 <;> simp [h1, h2]
#align dfinsupp.erase_def DFinsupp.erase_def
@[simp]
theorem support_erase (i : ι) (f : Π₀ i, β i) : (f.erase i).support = f.support.erase i := by
ext j
by_cases h1 : j = i
· simp only [h1, mem_support_toFun, erase_apply, ite_true, ne_eq, not_true, not_not,
Finset.mem_erase, false_and]
by_cases h2 : f j ≠ 0 <;> simp at h2 <;> simp [h1, h2]
#align dfinsupp.support_erase DFinsupp.support_erase
theorem support_update_ne_zero (f : Π₀ i, β i) (i : ι) {b : β i} (h : b ≠ 0) :
support (f.update i b) = insert i f.support := by
ext j
rcases eq_or_ne i j with (rfl | hi)
· simp [h]
· simp [hi.symm]
#align dfinsupp.support_update_ne_zero DFinsupp.support_update_ne_zero
theorem support_update (f : Π₀ i, β i) (i : ι) (b : β i) [Decidable (b = 0)] :
support (f.update i b) = if b = 0 then support (f.erase i) else insert i f.support := by
ext j
split_ifs with hb
· subst hb
simp [update_eq_erase, support_erase]
· rw [support_update_ne_zero f _ hb]
#align dfinsupp.support_update DFinsupp.support_update
section FilterAndSubtypeDomain
variable {p : ι → Prop} [DecidablePred p]
theorem filter_def (f : Π₀ i, β i) : f.filter p = mk (f.support.filter p) fun i => f i.1 := by
ext i; by_cases h1 : p i <;> by_cases h2 : f i ≠ 0 <;> simp at h2 <;> simp [h1, h2]
#align dfinsupp.filter_def DFinsupp.filter_def
@[simp]
theorem support_filter (f : Π₀ i, β i) : (f.filter p).support = f.support.filter p := by
ext i; by_cases h : p i <;> simp [h]
#align dfinsupp.support_filter DFinsupp.support_filter
theorem subtypeDomain_def (f : Π₀ i, β i) :
f.subtypeDomain p = mk (f.support.subtype p) fun i => f i := by
ext i; by_cases h2 : f i ≠ 0 <;> try simp at h2; dsimp; simp [h2]
#align dfinsupp.subtype_domain_def DFinsupp.subtypeDomain_def
@[simp, nolint simpNF] -- Porting note: simpNF claims that LHS does not simplify, but it does
theorem support_subtypeDomain {f : Π₀ i, β i} :
(subtypeDomain p f).support = f.support.subtype p := by
ext i
simp
#align dfinsupp.support_subtype_domain DFinsupp.support_subtypeDomain
end FilterAndSubtypeDomain
end SupportBasic
theorem support_add [∀ i, AddZeroClass (β i)] [∀ (i) (x : β i), Decidable (x ≠ 0)]
{g₁ g₂ : Π₀ i, β i} : (g₁ + g₂).support ⊆ g₁.support ∪ g₂.support :=
support_zipWith
#align dfinsupp.support_add DFinsupp.support_add
@[simp]
theorem support_neg [∀ i, AddGroup (β i)] [∀ (i) (x : β i), Decidable (x ≠ 0)] {f : Π₀ i, β i} :
support (-f) = support f := by ext i; simp
#align dfinsupp.support_neg DFinsupp.support_neg
theorem support_smul {γ : Type w} [Semiring γ] [∀ i, AddCommMonoid (β i)] [∀ i, Module γ (β i)]
[∀ (i : ι) (x : β i), Decidable (x ≠ 0)] (b : γ) (v : Π₀ i, β i) :
(b • v).support ⊆ v.support :=
support_mapRange
#align dfinsupp.support_smul DFinsupp.support_smul
instance [∀ i, Zero (β i)] [∀ i, DecidableEq (β i)] : DecidableEq (Π₀ i, β i) := fun f g =>
decidable_of_iff (f.support = g.support ∧ ∀ i ∈ f.support, f i = g i)
⟨fun ⟨h₁, h₂⟩ => ext fun i => if h : i ∈ f.support then h₂ i h else by
have hf : f i = 0 := by rwa [mem_support_iff, not_not] at h
have hg : g i = 0 := by rwa [h₁, mem_support_iff, not_not] at h
rw [hf, hg],
by rintro rfl; simp⟩
section Equiv
open Finset
variable {κ : Type*}
/-- Reindexing (and possibly removing) terms of a dfinsupp. -/
noncomputable def comapDomain [∀ i, Zero (β i)] (h : κ → ι) (hh : Function.Injective h)
(f : Π₀ i, β i) : Π₀ k, β (h k) where
toFun x := f (h x)
support' :=
f.support'.map fun s =>
⟨((Multiset.toFinset s.1).preimage h hh.injOn).val, fun x =>
(s.prop (h x)).imp_left fun hx => mem_preimage.mpr <| Multiset.mem_toFinset.mpr hx⟩
#align dfinsupp.comap_domain DFinsupp.comapDomain
@[simp]
theorem comapDomain_apply [∀ i, Zero (β i)] (h : κ → ι) (hh : Function.Injective h) (f : Π₀ i, β i)
(k : κ) : comapDomain h hh f k = f (h k) :=
rfl
#align dfinsupp.comap_domain_apply DFinsupp.comapDomain_apply
@[simp]
theorem comapDomain_zero [∀ i, Zero (β i)] (h : κ → ι) (hh : Function.Injective h) :
comapDomain h hh (0 : Π₀ i, β i) = 0 := by
ext
rw [zero_apply, comapDomain_apply, zero_apply]
#align dfinsupp.comap_domain_zero DFinsupp.comapDomain_zero
@[simp]
theorem comapDomain_add [∀ i, AddZeroClass (β i)] (h : κ → ι) (hh : Function.Injective h)
(f g : Π₀ i, β i) : comapDomain h hh (f + g) = comapDomain h hh f + comapDomain h hh g := by
ext
rw [add_apply, comapDomain_apply, comapDomain_apply, comapDomain_apply, add_apply]
#align dfinsupp.comap_domain_add DFinsupp.comapDomain_add
@[simp]
theorem comapDomain_smul [Monoid γ] [∀ i, AddMonoid (β i)] [∀ i, DistribMulAction γ (β i)]
(h : κ → ι) (hh : Function.Injective h) (r : γ) (f : Π₀ i, β i) :
comapDomain h hh (r • f) = r • comapDomain h hh f := by
ext
rw [smul_apply, comapDomain_apply, smul_apply, comapDomain_apply]
#align dfinsupp.comap_domain_smul DFinsupp.comapDomain_smul
@[simp]
theorem comapDomain_single [DecidableEq κ] [∀ i, Zero (β i)] (h : κ → ι) (hh : Function.Injective h)
(k : κ) (x : β (h k)) : comapDomain h hh (single (h k) x) = single k x := by
ext i
rw [comapDomain_apply]
obtain rfl | hik := Decidable.eq_or_ne i k
· rw [single_eq_same, single_eq_same]
· rw [single_eq_of_ne hik.symm, single_eq_of_ne (hh.ne hik.symm)]
#align dfinsupp.comap_domain_single DFinsupp.comapDomain_single
/-- A computable version of comap_domain when an explicit left inverse is provided. -/
def comapDomain' [∀ i, Zero (β i)] (h : κ → ι) {h' : ι → κ} (hh' : Function.LeftInverse h' h)
(f : Π₀ i, β i) : Π₀ k, β (h k) where
toFun x := f (h x)
support' :=
f.support'.map fun s =>
⟨Multiset.map h' s.1, fun x =>
(s.prop (h x)).imp_left fun hx => Multiset.mem_map.mpr ⟨_, hx, hh' _⟩⟩
#align dfinsupp.comap_domain' DFinsupp.comapDomain'
@[simp]
theorem comapDomain'_apply [∀ i, Zero (β i)] (h : κ → ι) {h' : ι → κ}
(hh' : Function.LeftInverse h' h) (f : Π₀ i, β i) (k : κ) : comapDomain' h hh' f k = f (h k) :=
rfl
#align dfinsupp.comap_domain'_apply DFinsupp.comapDomain'_apply
@[simp]
theorem comapDomain'_zero [∀ i, Zero (β i)] (h : κ → ι) {h' : ι → κ}
(hh' : Function.LeftInverse h' h) : comapDomain' h hh' (0 : Π₀ i, β i) = 0 := by
ext
rw [zero_apply, comapDomain'_apply, zero_apply]
#align dfinsupp.comap_domain'_zero DFinsupp.comapDomain'_zero
@[simp]
theorem comapDomain'_add [∀ i, AddZeroClass (β i)] (h : κ → ι) {h' : ι → κ}
(hh' : Function.LeftInverse h' h) (f g : Π₀ i, β i) :
comapDomain' h hh' (f + g) = comapDomain' h hh' f + comapDomain' h hh' g := by
ext
rw [add_apply, comapDomain'_apply, comapDomain'_apply, comapDomain'_apply, add_apply]
#align dfinsupp.comap_domain'_add DFinsupp.comapDomain'_add
@[simp]
theorem comapDomain'_smul [Monoid γ] [∀ i, AddMonoid (β i)] [∀ i, DistribMulAction γ (β i)]
(h : κ → ι) {h' : ι → κ} (hh' : Function.LeftInverse h' h) (r : γ) (f : Π₀ i, β i) :
comapDomain' h hh' (r • f) = r • comapDomain' h hh' f := by
ext
rw [smul_apply, comapDomain'_apply, smul_apply, comapDomain'_apply]
#align dfinsupp.comap_domain'_smul DFinsupp.comapDomain'_smul
@[simp]
theorem comapDomain'_single [DecidableEq ι] [DecidableEq κ] [∀ i, Zero (β i)] (h : κ → ι)
{h' : ι → κ} (hh' : Function.LeftInverse h' h) (k : κ) (x : β (h k)) :
comapDomain' h hh' (single (h k) x) = single k x := by
ext i
rw [comapDomain'_apply]
obtain rfl | hik := Decidable.eq_or_ne i k
· rw [single_eq_same, single_eq_same]
· rw [single_eq_of_ne hik.symm, single_eq_of_ne (hh'.injective.ne hik.symm)]
#align dfinsupp.comap_domain'_single DFinsupp.comapDomain'_single
/-- Reindexing terms of a dfinsupp.
This is the dfinsupp version of `Equiv.piCongrLeft'`. -/
@[simps apply]
def equivCongrLeft [∀ i, Zero (β i)] (h : ι ≃ κ) : (Π₀ i, β i) ≃ Π₀ k, β (h.symm k) where
toFun := comapDomain' h.symm h.right_inv
invFun f :=
mapRange (fun i => Equiv.cast <| congr_arg β <| h.symm_apply_apply i)
(fun i => (Equiv.cast_eq_iff_heq _).mpr <| by rw [Equiv.symm_apply_apply])
(@comapDomain' _ _ _ _ h _ h.left_inv f)
left_inv f := by
ext i
rw [mapRange_apply, comapDomain'_apply, comapDomain'_apply, Equiv.cast_eq_iff_heq,
h.symm_apply_apply]
right_inv f := by
ext k
rw [comapDomain'_apply, mapRange_apply, comapDomain'_apply, Equiv.cast_eq_iff_heq,
h.apply_symm_apply]
#align dfinsupp.equiv_congr_left DFinsupp.equivCongrLeft
#align dfinsupp.equiv_congr_left_apply DFinsupp.equivCongrLeft_apply
section SigmaCurry
variable {α : ι → Type*} {δ : ∀ i, α i → Type v}
-- lean can't find these instances -- Porting note: but Lean 4 can!!!
instance hasAdd₂ [∀ i j, AddZeroClass (δ i j)] : Add (Π₀ (i : ι) (j : α i), δ i j) :=
inferInstance
-- @DFinsupp.hasAdd ι (fun i => Π₀ j, δ i j) _
#align dfinsupp.has_add₂ DFinsupp.hasAdd₂
instance addZeroClass₂ [∀ i j, AddZeroClass (δ i j)] : AddZeroClass (Π₀ (i : ι) (j : α i), δ i j) :=
inferInstance
-- @DFinsupp.addZeroClass ι (fun i => Π₀ j, δ i j) _
#align dfinsupp.add_zero_class₂ DFinsupp.addZeroClass₂
instance addMonoid₂ [∀ i j, AddMonoid (δ i j)] : AddMonoid (Π₀ (i : ι) (j : α i), δ i j) :=
inferInstance
-- @DFinsupp.addMonoid ι (fun i => Π₀ j, δ i j) _
#align dfinsupp.add_monoid₂ DFinsupp.addMonoid₂
instance distribMulAction₂ [Monoid γ] [∀ i j, AddMonoid (δ i j)]
[∀ i j, DistribMulAction γ (δ i j)] : DistribMulAction γ (Π₀ (i : ι) (j : α i), δ i j) :=
@DFinsupp.distribMulAction ι _ (fun i => Π₀ j, δ i j) _ _ _
#align dfinsupp.distrib_mul_action₂ DFinsupp.distribMulAction₂
/-- The natural map between `Π₀ (i : Σ i, α i), δ i.1 i.2` and `Π₀ i (j : α i), δ i j`. -/
def sigmaCurry [∀ i j, Zero (δ i j)] (f : Π₀ (i : Σ _, _), δ i.1 i.2) :
Π₀ (i) (j), δ i j where
toFun := fun i ↦
{ toFun := fun j ↦ f ⟨i, j⟩,
support' := f.support'.map (fun ⟨m, hm⟩ ↦
⟨m.filterMap (fun ⟨i', j'⟩ ↦ if h : i' = i then some <| h.rec j' else none),
fun j ↦ (hm ⟨i, j⟩).imp_left (fun h ↦ (m.mem_filterMap _).mpr ⟨⟨i, j⟩, h, dif_pos rfl⟩)⟩) }
support' := f.support'.map (fun ⟨m, hm⟩ ↦
⟨m.map Sigma.fst, fun i ↦ Decidable.or_iff_not_imp_left.mpr (fun h ↦ DFinsupp.ext
(fun j ↦ (hm ⟨i, j⟩).resolve_left (fun H ↦ (Multiset.mem_map.not.mp h) ⟨⟨i, j⟩, H, rfl⟩)))⟩)
@[simp]
theorem sigmaCurry_apply [∀ i j, Zero (δ i j)] (f : Π₀ (i : Σ _, _), δ i.1 i.2) (i : ι) (j : α i) :
sigmaCurry f i j = f ⟨i, j⟩ :=
rfl
#align dfinsupp.sigma_curry_apply DFinsupp.sigmaCurry_apply
@[simp]
theorem sigmaCurry_zero [∀ i j, Zero (δ i j)] :
sigmaCurry (0 : Π₀ (i : Σ _, _), δ i.1 i.2) = 0 :=
rfl
#align dfinsupp.sigma_curry_zero DFinsupp.sigmaCurry_zero
@[simp]
theorem sigmaCurry_add [∀ i j, AddZeroClass (δ i j)] (f g : Π₀ (i : Σ _, _), δ i.1 i.2) :
sigmaCurry (f + g) = sigmaCurry f + sigmaCurry g := by
ext (i j)
rfl
#align dfinsupp.sigma_curry_add DFinsupp.sigmaCurry_add
@[simp]
theorem sigmaCurry_smul [Monoid γ] [∀ i j, AddMonoid (δ i j)] [∀ i j, DistribMulAction γ (δ i j)]
(r : γ) (f : Π₀ (i : Σ _, _), δ i.1 i.2) :
sigmaCurry (r • f) = r • sigmaCurry f := by
ext (i j)
rfl
#align dfinsupp.sigma_curry_smul DFinsupp.sigmaCurry_smul
@[simp]
theorem sigmaCurry_single [∀ i, DecidableEq (α i)] [∀ i j, Zero (δ i j)]
(ij : Σ i, α i) (x : δ ij.1 ij.2) :
sigmaCurry (single ij x) = single ij.1 (single ij.2 x : Π₀ j, δ ij.1 j) := by
obtain ⟨i, j⟩ := ij
ext i' j'
dsimp only
rw [sigmaCurry_apply]
obtain rfl | hi := eq_or_ne i i'
· rw [single_eq_same]
obtain rfl | hj := eq_or_ne j j'
· rw [single_eq_same, single_eq_same]
· rw [single_eq_of_ne, single_eq_of_ne hj]
simpa using hj
· rw [single_eq_of_ne, single_eq_of_ne hi, zero_apply]
simp [hi]
#align dfinsupp.sigma_curry_single DFinsupp.sigmaCurry_single
/- ./././Mathport/Syntax/Translate/Expr.lean:107:6: warning: expanding binder group (i j) -/
/-- The natural map between `Π₀ i (j : α i), δ i j` and `Π₀ (i : Σ i, α i), δ i.1 i.2`, inverse of
`curry`. -/
def sigmaUncurry [∀ i j, Zero (δ i j)]
[∀ i, DecidableEq (α i)] [∀ i j (x : δ i j), Decidable (x ≠ 0)]
(f : Π₀ (i) (j), δ i j) :
Π₀ i : Σi, _, δ i.1 i.2 where
toFun i := f i.1 i.2
support' := f.support'.map fun s => ⟨Multiset.bind s.1 fun i =>
((f i).support.map ⟨Sigma.mk i, sigma_mk_injective⟩).val, fun i => by
simp_rw [Multiset.mem_bind, map_val, Multiset.mem_map, Function.Embedding.coeFn_mk, ←
Finset.mem_def, mem_support_toFun]
obtain hi | (hi : f i.1 = 0) := s.prop i.1
· by_cases hi' : f i.1 i.2 = 0
· exact Or.inr hi'
· exact Or.inl ⟨_, hi, i.2, hi', Sigma.eta _⟩
· right
rw [hi, zero_apply]⟩
#align dfinsupp.sigma_uncurry DFinsupp.sigmaUncurry
/- ./././Mathport/Syntax/Translate/Expr.lean:107:6: warning: expanding binder group (i j) -/
@[simp]
theorem sigmaUncurry_apply [∀ i j, Zero (δ i j)]
[∀ i, DecidableEq (α i)] [∀ i j (x : δ i j), Decidable (x ≠ 0)]
(f : Π₀ (i) (j), δ i j) (i : ι) (j : α i) :
sigmaUncurry f ⟨i, j⟩ = f i j :=
rfl
#align dfinsupp.sigma_uncurry_apply DFinsupp.sigmaUncurry_apply
/- ./././Mathport/Syntax/Translate/Expr.lean:107:6: warning: expanding binder group (i j) -/
@[simp]
theorem sigmaUncurry_zero [∀ i j, Zero (δ i j)]
[∀ i, DecidableEq (α i)] [∀ i j (x : δ i j), Decidable (x ≠ 0)] :
sigmaUncurry (0 : Π₀ (i) (j), δ i j) = 0 :=
rfl
#align dfinsupp.sigma_uncurry_zero DFinsupp.sigmaUncurry_zero
/- ./././Mathport/Syntax/Translate/Expr.lean:107:6: warning: expanding binder group (i j) -/
@[simp]
theorem sigmaUncurry_add [∀ i j, AddZeroClass (δ i j)]
[∀ i, DecidableEq (α i)] [∀ i j (x : δ i j), Decidable (x ≠ 0)]
(f g : Π₀ (i) (j), δ i j) :
sigmaUncurry (f + g) = sigmaUncurry f + sigmaUncurry g :=
DFunLike.coe_injective rfl
#align dfinsupp.sigma_uncurry_add DFinsupp.sigmaUncurry_add
/- ./././Mathport/Syntax/Translate/Expr.lean:107:6: warning: expanding binder group (i j) -/
@[simp]
theorem sigmaUncurry_smul [Monoid γ] [∀ i j, AddMonoid (δ i j)]
[∀ i, DecidableEq (α i)] [∀ i j (x : δ i j), Decidable (x ≠ 0)]
[∀ i j, DistribMulAction γ (δ i j)]
(r : γ) (f : Π₀ (i) (j), δ i j) : sigmaUncurry (r • f) = r • sigmaUncurry f :=
DFunLike.coe_injective rfl
#align dfinsupp.sigma_uncurry_smul DFinsupp.sigmaUncurry_smul
@[simp]
theorem sigmaUncurry_single [∀ i j, Zero (δ i j)]
[∀ i, DecidableEq (α i)] [∀ i j (x : δ i j), Decidable (x ≠ 0)]
(i) (j : α i) (x : δ i j) :
sigmaUncurry (single i (single j x : Π₀ j : α i, δ i j)) = single ⟨i, j⟩ (by exact x) := by
ext ⟨i', j'⟩
dsimp only
rw [sigmaUncurry_apply]
obtain rfl | hi := eq_or_ne i i'
· rw [single_eq_same]
obtain rfl | hj := eq_or_ne j j'
· rw [single_eq_same, single_eq_same]
· rw [single_eq_of_ne hj, single_eq_of_ne]
simpa using hj
· rw [single_eq_of_ne hi, single_eq_of_ne, zero_apply]
simp [hi]
#align dfinsupp.sigma_uncurry_single DFinsupp.sigmaUncurry_single
/- ./././Mathport/Syntax/Translate/Expr.lean:107:6: warning: expanding binder group (i j) -/
/-- The natural bijection between `Π₀ (i : Σ i, α i), δ i.1 i.2` and `Π₀ i (j : α i), δ i j`.
This is the dfinsupp version of `Equiv.piCurry`. -/
def sigmaCurryEquiv [∀ i j, Zero (δ i j)]
[∀ i, DecidableEq (α i)] [∀ i j (x : δ i j), Decidable (x ≠ 0)] :
(Π₀ i : Σi, _, δ i.1 i.2) ≃ Π₀ (i) (j), δ i j where
toFun := sigmaCurry
invFun := sigmaUncurry
left_inv f := by
ext ⟨i, j⟩
rw [sigmaUncurry_apply, sigmaCurry_apply]
right_inv f := by
ext i j
rw [sigmaCurry_apply, sigmaUncurry_apply]
#align dfinsupp.sigma_curry_equiv DFinsupp.sigmaCurryEquiv
end SigmaCurry
variable {α : Option ι → Type v}
/-- Adds a term to a dfinsupp, making a dfinsupp indexed by an `Option`.
This is the dfinsupp version of `Option.rec`. -/
def extendWith [∀ i, Zero (α i)] (a : α none) (f : Π₀ i, α (some i)) : Π₀ i, α i where
toFun := fun i ↦ match i with | none => a | some _ => f _
support' :=
f.support'.map fun s =>
⟨none ::ₘ Multiset.map some s.1, fun i =>
Option.rec (Or.inl <| Multiset.mem_cons_self _ _)
(fun i =>
(s.prop i).imp_left fun h => Multiset.mem_cons_of_mem <| Multiset.mem_map_of_mem _ h)
i⟩
#align dfinsupp.extend_with DFinsupp.extendWith
@[simp]
theorem extendWith_none [∀ i, Zero (α i)] (f : Π₀ i, α (some i)) (a : α none) :
f.extendWith a none = a :=
rfl
#align dfinsupp.extend_with_none DFinsupp.extendWith_none
@[simp]
theorem extendWith_some [∀ i, Zero (α i)] (f : Π₀ i, α (some i)) (a : α none) (i : ι) :
f.extendWith a (some i) = f i :=
rfl
#align dfinsupp.extend_with_some DFinsupp.extendWith_some
@[simp]
theorem extendWith_single_zero [DecidableEq ι] [∀ i, Zero (α i)] (i : ι) (x : α (some i)) :
(single i x).extendWith 0 = single (some i) x := by
ext (_ | j)
· rw [extendWith_none, single_eq_of_ne (Option.some_ne_none _)]
· rw [extendWith_some]
obtain rfl | hij := Decidable.eq_or_ne i j
· rw [single_eq_same, single_eq_same]
· rw [single_eq_of_ne hij, single_eq_of_ne ((Option.some_injective _).ne hij)]
#align dfinsupp.extend_with_single_zero DFinsupp.extendWith_single_zero
@[simp]
theorem extendWith_zero [DecidableEq ι] [∀ i, Zero (α i)] (x : α none) :
(0 : Π₀ i, α (some i)).extendWith x = single none x := by
ext (_ | j)
· rw [extendWith_none, single_eq_same]
· rw [extendWith_some, single_eq_of_ne (Option.some_ne_none _).symm, zero_apply]
#align dfinsupp.extend_with_zero DFinsupp.extendWith_zero
/-- Bijection obtained by separating the term of index `none` of a dfinsupp over `Option ι`.
This is the dfinsupp version of `Equiv.piOptionEquivProd`. -/
@[simps]
noncomputable def equivProdDFinsupp [∀ i, Zero (α i)] :
(Π₀ i, α i) ≃ α none × Π₀ i, α (some i) where
toFun f := (f none, comapDomain some (Option.some_injective _) f)
invFun f := f.2.extendWith f.1
left_inv f := by
ext i; cases' i with i
· rw [extendWith_none]
· rw [extendWith_some, comapDomain_apply]
right_inv x := by
dsimp only
ext
· exact extendWith_none x.snd _
· rw [comapDomain_apply, extendWith_some]
#align dfinsupp.equiv_prod_dfinsupp DFinsupp.equivProdDFinsupp
#align dfinsupp.equiv_prod_dfinsupp_apply DFinsupp.equivProdDFinsupp_apply
#align dfinsupp.equiv_prod_dfinsupp_symm_apply DFinsupp.equivProdDFinsupp_symm_apply
theorem equivProdDFinsupp_add [∀ i, AddZeroClass (α i)] (f g : Π₀ i, α i) :
equivProdDFinsupp (f + g) = equivProdDFinsupp f + equivProdDFinsupp g :=
Prod.ext (add_apply _ _ _) (comapDomain_add _ (Option.some_injective _) _ _)
#align dfinsupp.equiv_prod_dfinsupp_add DFinsupp.equivProdDFinsupp_add
theorem equivProdDFinsupp_smul [Monoid γ] [∀ i, AddMonoid (α i)] [∀ i, DistribMulAction γ (α i)]
(r : γ) (f : Π₀ i, α i) : equivProdDFinsupp (r • f) = r • equivProdDFinsupp f :=
Prod.ext (smul_apply _ _ _) (comapDomain_smul _ (Option.some_injective _) _ _)
#align dfinsupp.equiv_prod_dfinsupp_smul DFinsupp.equivProdDFinsupp_smul
end Equiv
section ProdAndSum
/-- `DFinsupp.prod f g` is the product of `g i (f i)` over the support of `f`. -/
@[to_additive "`sum f g` is the sum of `g i (f i)` over the support of `f`."]
def prod [∀ i, Zero (β i)] [∀ (i) (x : β i), Decidable (x ≠ 0)] [CommMonoid γ] (f : Π₀ i, β i)
(g : ∀ i, β i → γ) : γ :=
∏ i ∈ f.support, g i (f i)
#align dfinsupp.prod DFinsupp.prod
#align dfinsupp.sum DFinsupp.sum
@[to_additive (attr := simp)]
theorem _root_.map_dfinsupp_prod
{R S H : Type*} [∀ i, Zero (β i)] [∀ (i) (x : β i), Decidable (x ≠ 0)]
[CommMonoid R] [CommMonoid S] [FunLike H R S] [MonoidHomClass H R S] (h : H) (f : Π₀ i, β i)
(g : ∀ i, β i → R) : h (f.prod g) = f.prod fun a b => h (g a b) :=
map_prod _ _ _
@[to_additive]
theorem prod_mapRange_index {β₁ : ι → Type v₁} {β₂ : ι → Type v₂} [∀ i, Zero (β₁ i)]
[∀ i, Zero (β₂ i)] [∀ (i) (x : β₁ i), Decidable (x ≠ 0)] [∀ (i) (x : β₂ i), Decidable (x ≠ 0)]
[CommMonoid γ] {f : ∀ i, β₁ i → β₂ i} {hf : ∀ i, f i 0 = 0} {g : Π₀ i, β₁ i} {h : ∀ i, β₂ i → γ}
(h0 : ∀ i, h i 0 = 1) : (mapRange f hf g).prod h = g.prod fun i b => h i (f i b) := by
rw [mapRange_def]
refine (Finset.prod_subset support_mk_subset ?_).trans ?_
· intro i h1 h2
simp only [mem_support_toFun, ne_eq] at h1
simp only [Finset.coe_sort_coe, mem_support_toFun, mk_apply, ne_eq, h1, not_false_iff,
dite_eq_ite, ite_true, not_not] at h2
simp [h2, h0]
· refine Finset.prod_congr rfl ?_
intro i h1
simp only [mem_support_toFun, ne_eq] at h1
simp [h1]
#align dfinsupp.prod_map_range_index DFinsupp.prod_mapRange_index
#align dfinsupp.sum_map_range_index DFinsupp.sum_mapRange_index
@[to_additive]
theorem prod_zero_index [∀ i, AddCommMonoid (β i)] [∀ (i) (x : β i), Decidable (x ≠ 0)]
[CommMonoid γ] {h : ∀ i, β i → γ} : (0 : Π₀ i, β i).prod h = 1 :=
rfl
#align dfinsupp.prod_zero_index DFinsupp.prod_zero_index
#align dfinsupp.sum_zero_index DFinsupp.sum_zero_index
@[to_additive]
theorem prod_single_index [∀ i, Zero (β i)] [∀ (i) (x : β i), Decidable (x ≠ 0)] [CommMonoid γ]
{i : ι} {b : β i} {h : ∀ i, β i → γ} (h_zero : h i 0 = 1) : (single i b).prod h = h i b := by
by_cases h : b ≠ 0
· simp [DFinsupp.prod, support_single_ne_zero h]
· rw [not_not] at h
simp [h, prod_zero_index, h_zero]
rfl
#align dfinsupp.prod_single_index DFinsupp.prod_single_index
#align dfinsupp.sum_single_index DFinsupp.sum_single_index
@[to_additive]
theorem prod_neg_index [∀ i, AddGroup (β i)] [∀ (i) (x : β i), Decidable (x ≠ 0)] [CommMonoid γ]
{g : Π₀ i, β i} {h : ∀ i, β i → γ} (h0 : ∀ i, h i 0 = 1) :
(-g).prod h = g.prod fun i b => h i (-b) :=
prod_mapRange_index h0
#align dfinsupp.prod_neg_index DFinsupp.prod_neg_index
#align dfinsupp.sum_neg_index DFinsupp.sum_neg_index
@[to_additive]
theorem prod_comm {ι₁ ι₂ : Sort _} {β₁ : ι₁ → Type*} {β₂ : ι₂ → Type*} [DecidableEq ι₁]
[DecidableEq ι₂] [∀ i, Zero (β₁ i)] [∀ i, Zero (β₂ i)] [∀ (i) (x : β₁ i), Decidable (x ≠ 0)]
[∀ (i) (x : β₂ i), Decidable (x ≠ 0)] [CommMonoid γ] (f₁ : Π₀ i, β₁ i) (f₂ : Π₀ i, β₂ i)
(h : ∀ i, β₁ i → ∀ i, β₂ i → γ) :
(f₁.prod fun i₁ x₁ => f₂.prod fun i₂ x₂ => h i₁ x₁ i₂ x₂) =
f₂.prod fun i₂ x₂ => f₁.prod fun i₁ x₁ => h i₁ x₁ i₂ x₂ :=
Finset.prod_comm
#align dfinsupp.prod_comm DFinsupp.prod_comm
#align dfinsupp.sum_comm DFinsupp.sum_comm
@[simp]
theorem sum_apply {ι₁ : Type u₁} [DecidableEq ι₁] {β₁ : ι₁ → Type v₁} [∀ i₁, Zero (β₁ i₁)]
[∀ (i) (x : β₁ i), Decidable (x ≠ 0)] [∀ i, AddCommMonoid (β i)] {f : Π₀ i₁, β₁ i₁}
{g : ∀ i₁, β₁ i₁ → Π₀ i, β i} {i₂ : ι} : (f.sum g) i₂ = f.sum fun i₁ b => g i₁ b i₂ :=
map_sum (evalAddMonoidHom i₂) _ f.support
#align dfinsupp.sum_apply DFinsupp.sum_apply
theorem support_sum {ι₁ : Type u₁} [DecidableEq ι₁] {β₁ : ι₁ → Type v₁} [∀ i₁, Zero (β₁ i₁)]
[∀ (i) (x : β₁ i), Decidable (x ≠ 0)] [∀ i, AddCommMonoid (β i)]
[∀ (i) (x : β i), Decidable (x ≠ 0)] {f : Π₀ i₁, β₁ i₁} {g : ∀ i₁, β₁ i₁ → Π₀ i, β i} :
(f.sum g).support ⊆ f.support.biUnion fun i => (g i (f i)).support := by
have :
∀ i₁ : ι,
(f.sum fun (i : ι₁) (b : β₁ i) => (g i b) i₁) ≠ 0 → ∃ i : ι₁, f i ≠ 0 ∧ ¬(g i (f i)) i₁ = 0 :=
fun i₁ h =>
let ⟨i, hi, Ne⟩ := Finset.exists_ne_zero_of_sum_ne_zero h
⟨i, mem_support_iff.1 hi, Ne⟩
simpa [Finset.subset_iff, mem_support_iff, Finset.mem_biUnion, sum_apply] using this
#align dfinsupp.support_sum DFinsupp.support_sum
@[to_additive (attr := simp)]
theorem prod_one [∀ i, AddCommMonoid (β i)] [∀ (i) (x : β i), Decidable (x ≠ 0)] [CommMonoid γ]
{f : Π₀ i, β i} : (f.prod fun _ _ => (1 : γ)) = 1 :=
Finset.prod_const_one
#align dfinsupp.prod_one DFinsupp.prod_one
#align dfinsupp.sum_zero DFinsupp.sum_zero
@[to_additive (attr := simp)]
theorem prod_mul [∀ i, AddCommMonoid (β i)] [∀ (i) (x : β i), Decidable (x ≠ 0)] [CommMonoid γ]
{f : Π₀ i, β i} {h₁ h₂ : ∀ i, β i → γ} :
(f.prod fun i b => h₁ i b * h₂ i b) = f.prod h₁ * f.prod h₂ :=
Finset.prod_mul_distrib
#align dfinsupp.prod_mul DFinsupp.prod_mul
#align dfinsupp.sum_add DFinsupp.sum_add
@[to_additive (attr := simp)]
theorem prod_inv [∀ i, AddCommMonoid (β i)] [∀ (i) (x : β i), Decidable (x ≠ 0)] [CommGroup γ]
{f : Π₀ i, β i} {h : ∀ i, β i → γ} : (f.prod fun i b => (h i b)⁻¹) = (f.prod h)⁻¹ :=
(map_prod (invMonoidHom : γ →* γ) _ f.support).symm
#align dfinsupp.prod_inv DFinsupp.prod_inv
#align dfinsupp.sum_neg DFinsupp.sum_neg
@[to_additive]
theorem prod_eq_one [∀ i, Zero (β i)] [∀ (i) (x : β i), Decidable (x ≠ 0)] [CommMonoid γ]
{f : Π₀ i, β i} {h : ∀ i, β i → γ} (hyp : ∀ i, h i (f i) = 1) : f.prod h = 1 :=
Finset.prod_eq_one fun i _ => hyp i
#align dfinsupp.prod_eq_one DFinsupp.prod_eq_one
#align dfinsupp.sum_eq_zero DFinsupp.sum_eq_zero
theorem smul_sum {α : Type*} [Monoid α] [∀ i, Zero (β i)] [∀ (i) (x : β i), Decidable (x ≠ 0)]
[AddCommMonoid γ] [DistribMulAction α γ] {f : Π₀ i, β i} {h : ∀ i, β i → γ} {c : α} :
c • f.sum h = f.sum fun a b => c • h a b :=
Finset.smul_sum
#align dfinsupp.smul_sum DFinsupp.smul_sum
@[to_additive]
theorem prod_add_index [∀ i, AddCommMonoid (β i)] [∀ (i) (x : β i), Decidable (x ≠ 0)]
[CommMonoid γ] {f g : Π₀ i, β i} {h : ∀ i, β i → γ} (h_zero : ∀ i, h i 0 = 1)
(h_add : ∀ i b₁ b₂, h i (b₁ + b₂) = h i b₁ * h i b₂) : (f + g).prod h = f.prod h * g.prod h :=
have f_eq : (∏ i ∈ f.support ∪ g.support, h i (f i)) = f.prod h :=
(Finset.prod_subset Finset.subset_union_left <| by
simp (config := { contextual := true }) [mem_support_iff, h_zero]).symm
have g_eq : (∏ i ∈ f.support ∪ g.support, h i (g i)) = g.prod h :=
(Finset.prod_subset Finset.subset_union_right <| by
simp (config := { contextual := true }) [mem_support_iff, h_zero]).symm
calc
(∏ i ∈ (f + g).support, h i ((f + g) i)) = ∏ i ∈ f.support ∪ g.support, h i ((f + g) i) :=
Finset.prod_subset support_add <| by
simp (config := { contextual := true }) [mem_support_iff, h_zero]
_ = (∏ i ∈ f.support ∪ g.support, h i (f i)) * ∏ i ∈ f.support ∪ g.support, h i (g i) := by
{ simp [h_add, Finset.prod_mul_distrib] }
_ = _ := by rw [f_eq, g_eq]
#align dfinsupp.prod_add_index DFinsupp.prod_add_index
#align dfinsupp.sum_add_index DFinsupp.sum_add_index
@[to_additive]
theorem _root_.dfinsupp_prod_mem [∀ i, Zero (β i)] [∀ (i) (x : β i), Decidable (x ≠ 0)]
[CommMonoid γ] {S : Type*} [SetLike S γ] [SubmonoidClass S γ]
(s : S) (f : Π₀ i, β i) (g : ∀ i, β i → γ)
(h : ∀ c, f c ≠ 0 → g c (f c) ∈ s) : f.prod g ∈ s :=
prod_mem fun _ hi => h _ <| mem_support_iff.1 hi
#align dfinsupp_prod_mem dfinsupp_prod_mem
#align dfinsupp_sum_mem dfinsupp_sum_mem
@[to_additive (attr := simp)]
theorem prod_eq_prod_fintype [Fintype ι] [∀ i, Zero (β i)] [∀ (i : ι) (x : β i), Decidable (x ≠ 0)]
-- Porting note: `f` was a typeclass argument
[CommMonoid γ] (v : Π₀ i, β i) {f : ∀ i, β i → γ} (hf : ∀ i, f i 0 = 1) :
v.prod f = ∏ i, f i (DFinsupp.equivFunOnFintype v i) := by
suffices (∏ i ∈ v.support, f i (v i)) = ∏ i, f i (v i) by simp [DFinsupp.prod, this]
apply Finset.prod_subset v.support.subset_univ
intro i _ hi
rw [mem_support_iff, not_not] at hi
rw [hi, hf]
#align dfinsupp.prod_eq_prod_fintype DFinsupp.prod_eq_prod_fintype
#align dfinsupp.sum_eq_sum_fintype DFinsupp.sum_eq_sum_fintype
section CommMonoidWithZero
variable [Π i, Zero (β i)] [CommMonoidWithZero γ] [Nontrivial γ] [NoZeroDivisors γ]
[Π i, DecidableEq (β i)] {f : Π₀ i, β i} {g : Π i, β i → γ}
@[simp]
lemma prod_eq_zero_iff : f.prod g = 0 ↔ ∃ i ∈ f.support, g i (f i) = 0 := Finset.prod_eq_zero_iff
lemma prod_ne_zero_iff : f.prod g ≠ 0 ↔ ∀ i ∈ f.support, g i (f i) ≠ 0 := Finset.prod_ne_zero_iff
end CommMonoidWithZero
/--
When summing over an `AddMonoidHom`, the decidability assumption is not needed, and the result is
also an `AddMonoidHom`.
-/
def sumAddHom [∀ i, AddZeroClass (β i)] [AddCommMonoid γ] (φ : ∀ i, β i →+ γ) :
(Π₀ i, β i) →+ γ where
toFun f :=
(f.support'.lift fun s => ∑ i ∈ Multiset.toFinset s.1, φ i (f i)) <| by
rintro ⟨sx, hx⟩ ⟨sy, hy⟩
dsimp only [Subtype.coe_mk, toFun_eq_coe] at *
have H1 : sx.toFinset ∩ sy.toFinset ⊆ sx.toFinset := Finset.inter_subset_left
have H2 : sx.toFinset ∩ sy.toFinset ⊆ sy.toFinset := Finset.inter_subset_right
refine
(Finset.sum_subset H1 ?_).symm.trans
((Finset.sum_congr rfl ?_).trans (Finset.sum_subset H2 ?_))
· intro i H1 H2
rw [Finset.mem_inter] at H2
simp only [Multiset.mem_toFinset] at H1 H2
convert AddMonoidHom.map_zero (φ i)
exact (hy i).resolve_left (mt (And.intro H1) H2)
· intro i _
rfl
· intro i H1 H2
rw [Finset.mem_inter] at H2
simp only [Multiset.mem_toFinset] at H1 H2
convert AddMonoidHom.map_zero (φ i)
exact (hx i).resolve_left (mt (fun H3 => And.intro H3 H1) H2)
map_add' := by
rintro ⟨f, sf, hf⟩ ⟨g, sg, hg⟩
change (∑ i ∈ _, _) = (∑ i ∈ _, _) + ∑ i ∈ _, _
simp only [coe_add, coe_mk', Subtype.coe_mk, Pi.add_apply, map_add, Finset.sum_add_distrib]
congr 1
· refine (Finset.sum_subset ?_ ?_).symm
· intro i
simp only [Multiset.mem_toFinset, Multiset.mem_add]
exact Or.inl
· intro i _ H2
simp only [Multiset.mem_toFinset, Multiset.mem_add] at H2
rw [(hf i).resolve_left H2, AddMonoidHom.map_zero]
· refine (Finset.sum_subset ?_ ?_).symm
· intro i
simp only [Multiset.mem_toFinset, Multiset.mem_add]
exact Or.inr
· intro i _ H2
simp only [Multiset.mem_toFinset, Multiset.mem_add] at H2
rw [(hg i).resolve_left H2, AddMonoidHom.map_zero]
map_zero' := by
simp only [toFun_eq_coe, coe_zero, Pi.zero_apply, map_zero, Finset.sum_const_zero]; rfl
#align dfinsupp.sum_add_hom DFinsupp.sumAddHom
@[simp]
theorem sumAddHom_single [∀ i, AddZeroClass (β i)] [AddCommMonoid γ] (φ : ∀ i, β i →+ γ) (i)
(x : β i) : sumAddHom φ (single i x) = φ i x := by
dsimp [sumAddHom, single, Trunc.lift_mk]
rw [Multiset.toFinset_singleton, Finset.sum_singleton, Pi.single_eq_same]
#align dfinsupp.sum_add_hom_single DFinsupp.sumAddHom_single
@[simp]
theorem sumAddHom_comp_single [∀ i, AddZeroClass (β i)] [AddCommMonoid γ] (f : ∀ i, β i →+ γ)
(i : ι) : (sumAddHom f).comp (singleAddHom β i) = f i :=
AddMonoidHom.ext fun x => sumAddHom_single f i x
#align dfinsupp.sum_add_hom_comp_single DFinsupp.sumAddHom_comp_single
/-- While we didn't need decidable instances to define it, we do to reduce it to a sum -/
theorem sumAddHom_apply [∀ i, AddZeroClass (β i)] [∀ (i) (x : β i), Decidable (x ≠ 0)]
[AddCommMonoid γ] (φ : ∀ i, β i →+ γ) (f : Π₀ i, β i) : sumAddHom φ f = f.sum fun x => φ x := by
rcases f with ⟨f, s, hf⟩
change (∑ i ∈ _, _) = ∑ i ∈ Finset.filter _ _, _
rw [Finset.sum_filter, Finset.sum_congr rfl]
intro i _
dsimp only [coe_mk', Subtype.coe_mk] at *
split_ifs with h
· rfl
· rw [not_not.mp h, AddMonoidHom.map_zero]
#align dfinsupp.sum_add_hom_apply DFinsupp.sumAddHom_apply
theorem _root_.dfinsupp_sumAddHom_mem [∀ i, AddZeroClass (β i)] [AddCommMonoid γ] {S : Type*}
[SetLike S γ] [AddSubmonoidClass S γ] (s : S) (f : Π₀ i, β i) (g : ∀ i, β i →+ γ)
(h : ∀ c, f c ≠ 0 → g c (f c) ∈ s) : DFinsupp.sumAddHom g f ∈ s := by
classical
rw [DFinsupp.sumAddHom_apply]
exact dfinsupp_sum_mem s f (g ·) h
#align dfinsupp_sum_add_hom_mem dfinsupp_sumAddHom_mem
/-- The supremum of a family of commutative additive submonoids is equal to the range of
`DFinsupp.sumAddHom`; that is, every element in the `iSup` can be produced from taking a finite
number of non-zero elements of `S i`, coercing them to `γ`, and summing them. -/
theorem _root_.AddSubmonoid.iSup_eq_mrange_dfinsupp_sumAddHom
[AddCommMonoid γ] (S : ι → AddSubmonoid γ) :
iSup S = AddMonoidHom.mrange (DFinsupp.sumAddHom fun i => (S i).subtype) := by
apply le_antisymm
· apply iSup_le _
intro i y hy
exact ⟨DFinsupp.single i ⟨y, hy⟩, DFinsupp.sumAddHom_single _ _ _⟩
· rintro x ⟨v, rfl⟩
exact dfinsupp_sumAddHom_mem _ v _ fun i _ => (le_iSup S i : S i ≤ _) (v i).prop
#align add_submonoid.supr_eq_mrange_dfinsupp_sum_add_hom AddSubmonoid.iSup_eq_mrange_dfinsupp_sumAddHom
/-- The bounded supremum of a family of commutative additive submonoids is equal to the range of
`DFinsupp.sumAddHom` composed with `DFinsupp.filterAddMonoidHom`; that is, every element in the
bounded `iSup` can be produced from taking a finite number of non-zero elements from the `S i` that
satisfy `p i`, coercing them to `γ`, and summing them. -/
theorem _root_.AddSubmonoid.bsupr_eq_mrange_dfinsupp_sumAddHom (p : ι → Prop) [DecidablePred p]
[AddCommMonoid γ] (S : ι → AddSubmonoid γ) :
⨆ (i) (_ : p i), S i =
AddMonoidHom.mrange ((sumAddHom fun i => (S i).subtype).comp (filterAddMonoidHom _ p)) := by
apply le_antisymm
· refine iSup₂_le fun i hi y hy => ⟨DFinsupp.single i ⟨y, hy⟩, ?_⟩
rw [AddMonoidHom.comp_apply, filterAddMonoidHom_apply, filter_single_pos _ _ hi]
exact sumAddHom_single _ _ _
· rintro x ⟨v, rfl⟩
refine dfinsupp_sumAddHom_mem _ _ _ fun i _ => ?_
refine AddSubmonoid.mem_iSup_of_mem i ?_
by_cases hp : p i
· simp [hp]
· simp [hp]
#align add_submonoid.bsupr_eq_mrange_dfinsupp_sum_add_hom AddSubmonoid.bsupr_eq_mrange_dfinsupp_sumAddHom
theorem _root_.AddSubmonoid.mem_iSup_iff_exists_dfinsupp [AddCommMonoid γ] (S : ι → AddSubmonoid γ)
(x : γ) : x ∈ iSup S ↔ ∃ f : Π₀ i, S i, DFinsupp.sumAddHom (fun i => (S i).subtype) f = x :=
SetLike.ext_iff.mp (AddSubmonoid.iSup_eq_mrange_dfinsupp_sumAddHom S) x
#align add_submonoid.mem_supr_iff_exists_dfinsupp AddSubmonoid.mem_iSup_iff_exists_dfinsupp
/-- A variant of `AddSubmonoid.mem_iSup_iff_exists_dfinsupp` with the RHS fully unfolded. -/
| Mathlib/Data/DFinsupp/Basic.lean | 1,992 | 1,997 | theorem _root_.AddSubmonoid.mem_iSup_iff_exists_dfinsupp' [AddCommMonoid γ] (S : ι → AddSubmonoid γ)
[∀ (i) (x : S i), Decidable (x ≠ 0)] (x : γ) :
x ∈ iSup S ↔ ∃ f : Π₀ i, S i, (f.sum fun i xi => ↑xi) = x := by |
rw [AddSubmonoid.mem_iSup_iff_exists_dfinsupp]
simp_rw [sumAddHom_apply]
rfl
|
/-
Copyright (c) 2020 Jalex Stark. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jalex Stark, Scott Morrison, Eric Wieser, Oliver Nash, Wen Yang
-/
import Mathlib.Data.Matrix.Basic
import Mathlib.LinearAlgebra.Matrix.Trace
#align_import data.matrix.basis from "leanprover-community/mathlib"@"320df450e9abeb5fc6417971e75acb6ae8bc3794"
/-!
# Matrices with a single non-zero element.
This file provides `Matrix.stdBasisMatrix`. The matrix `Matrix.stdBasisMatrix i j c` has `c`
at position `(i, j)`, and zeroes elsewhere.
-/
variable {l m n : Type*}
variable {R α : Type*}
namespace Matrix
open Matrix
variable [DecidableEq l] [DecidableEq m] [DecidableEq n]
variable [Semiring α]
/-- `stdBasisMatrix i j a` is the matrix with `a` in the `i`-th row, `j`-th column,
and zeroes elsewhere.
-/
def stdBasisMatrix (i : m) (j : n) (a : α) : Matrix m n α := fun i' j' =>
if i = i' ∧ j = j' then a else 0
#align matrix.std_basis_matrix Matrix.stdBasisMatrix
@[simp]
theorem smul_stdBasisMatrix [SMulZeroClass R α] (r : R) (i : m) (j : n) (a : α) :
r • stdBasisMatrix i j a = stdBasisMatrix i j (r • a) := by
unfold stdBasisMatrix
ext
simp [smul_ite]
#align matrix.smul_std_basis_matrix Matrix.smul_stdBasisMatrix
@[simp]
theorem stdBasisMatrix_zero (i : m) (j : n) : stdBasisMatrix i j (0 : α) = 0 := by
unfold stdBasisMatrix
ext
simp
#align matrix.std_basis_matrix_zero Matrix.stdBasisMatrix_zero
theorem stdBasisMatrix_add (i : m) (j : n) (a b : α) :
stdBasisMatrix i j (a + b) = stdBasisMatrix i j a + stdBasisMatrix i j b := by
unfold stdBasisMatrix; ext
split_ifs with h <;> simp [h]
#align matrix.std_basis_matrix_add Matrix.stdBasisMatrix_add
theorem mulVec_stdBasisMatrix [Fintype m] (i : n) (j : m) (c : α) (x : m → α) :
mulVec (stdBasisMatrix i j c) x = Function.update (0 : n → α) i (c * x j) := by
ext i'
simp [stdBasisMatrix, mulVec, dotProduct]
rcases eq_or_ne i i' with rfl|h
· simp
simp [h, h.symm]
theorem matrix_eq_sum_std_basis [Fintype m] [Fintype n] (x : Matrix m n α) :
x = ∑ i : m, ∑ j : n, stdBasisMatrix i j (x i j) := by
ext i j; symm
iterate 2 rw [Finset.sum_apply]
-- Porting note: was `convert`
refine (Fintype.sum_eq_single i ?_).trans ?_; swap
· -- Porting note: `simp` seems unwilling to apply `Fintype.sum_apply`
simp (config := { unfoldPartialApp := true }) only [stdBasisMatrix]
rw [Fintype.sum_apply, Fintype.sum_apply]
simp
· intro j' hj'
-- Porting note: `simp` seems unwilling to apply `Fintype.sum_apply`
simp (config := { unfoldPartialApp := true }) only [stdBasisMatrix]
rw [Fintype.sum_apply, Fintype.sum_apply]
simp [hj']
#align matrix.matrix_eq_sum_std_basis Matrix.matrix_eq_sum_std_basis
-- TODO: tie this up with the `Basis` machinery of linear algebra
-- this is not completely trivial because we are indexing by two types, instead of one
-- TODO: add `std_basis_vec`
theorem std_basis_eq_basis_mul_basis (i : m) (j : n) :
stdBasisMatrix i j (1 : α) =
vecMulVec (fun i' => ite (i = i') 1 0) fun j' => ite (j = j') 1 0 := by
ext i' j'
-- Porting note: was `norm_num [std_basis_matrix, vec_mul_vec]` though there are no numerals
-- involved.
simp only [stdBasisMatrix, vecMulVec, mul_ite, mul_one, mul_zero, of_apply]
-- Porting note: added next line
simp_rw [@and_comm (i = i')]
exact ite_and _ _ _ _
#align matrix.std_basis_eq_basis_mul_basis Matrix.std_basis_eq_basis_mul_basis
-- todo: the old proof used fintypes, I don't know `Finsupp` but this feels generalizable
@[elab_as_elim]
protected theorem induction_on' [Finite m] [Finite n] {P : Matrix m n α → Prop} (M : Matrix m n α)
(h_zero : P 0) (h_add : ∀ p q, P p → P q → P (p + q))
(h_std_basis : ∀ (i : m) (j : n) (x : α), P (stdBasisMatrix i j x)) : P M := by
cases nonempty_fintype m; cases nonempty_fintype n
rw [matrix_eq_sum_std_basis M, ← Finset.sum_product']
apply Finset.sum_induction _ _ h_add h_zero
· intros
apply h_std_basis
#align matrix.induction_on' Matrix.induction_on'
@[elab_as_elim]
protected theorem induction_on [Finite m] [Finite n] [Nonempty m] [Nonempty n]
{P : Matrix m n α → Prop} (M : Matrix m n α) (h_add : ∀ p q, P p → P q → P (p + q))
(h_std_basis : ∀ i j x, P (stdBasisMatrix i j x)) : P M :=
Matrix.induction_on' M
(by
inhabit m
inhabit n
simpa using h_std_basis default default 0)
h_add h_std_basis
#align matrix.induction_on Matrix.induction_on
namespace StdBasisMatrix
section
variable (i : m) (j : n) (c : α) (i' : m) (j' : n)
@[simp]
theorem apply_same : stdBasisMatrix i j c i j = c :=
if_pos (And.intro rfl rfl)
#align matrix.std_basis_matrix.apply_same Matrix.StdBasisMatrix.apply_same
@[simp]
theorem apply_of_ne (h : ¬(i = i' ∧ j = j')) : stdBasisMatrix i j c i' j' = 0 := by
simp only [stdBasisMatrix, and_imp, ite_eq_right_iff]
tauto
#align matrix.std_basis_matrix.apply_of_ne Matrix.StdBasisMatrix.apply_of_ne
@[simp]
| Mathlib/Data/Matrix/Basis.lean | 139 | 140 | theorem apply_of_row_ne {i i' : m} (hi : i ≠ i') (j j' : n) (a : α) :
stdBasisMatrix i j a i' j' = 0 := by | simp [hi]
|
/-
Copyright (c) 2020 Scott Morrison. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johan Commelin, Scott Morrison, Adam Topaz
-/
import Mathlib.Tactic.Linarith
import Mathlib.CategoryTheory.Skeletal
import Mathlib.Data.Fintype.Sort
import Mathlib.Order.Category.NonemptyFinLinOrd
import Mathlib.CategoryTheory.Functor.ReflectsIso
#align_import algebraic_topology.simplex_category from "leanprover-community/mathlib"@"e8ac6315bcfcbaf2d19a046719c3b553206dac75"
/-! # The simplex category
We construct a skeletal model of the simplex category, with objects `ℕ` and the
morphism `n ⟶ m` being the monotone maps from `Fin (n+1)` to `Fin (m+1)`.
We show that this category is equivalent to `NonemptyFinLinOrd`.
## Remarks
The definitions `SimplexCategory` and `SimplexCategory.Hom` are marked as irreducible.
We provide the following functions to work with these objects:
1. `SimplexCategory.mk` creates an object of `SimplexCategory` out of a natural number.
Use the notation `[n]` in the `Simplicial` locale.
2. `SimplexCategory.len` gives the "length" of an object of `SimplexCategory`, as a natural.
3. `SimplexCategory.Hom.mk` makes a morphism out of a monotone map between `Fin`'s.
4. `SimplexCategory.Hom.toOrderHom` gives the underlying monotone map associated to a
term of `SimplexCategory.Hom`.
-/
universe v
open CategoryTheory CategoryTheory.Limits
/-- The simplex category:
* objects are natural numbers `n : ℕ`
* morphisms from `n` to `m` are monotone functions `Fin (n+1) → Fin (m+1)`
-/
def SimplexCategory :=
ℕ
#align simplex_category SimplexCategory
namespace SimplexCategory
section
-- Porting note: the definition of `SimplexCategory` is made irreducible below
/-- Interpret a natural number as an object of the simplex category. -/
def mk (n : ℕ) : SimplexCategory :=
n
#align simplex_category.mk SimplexCategory.mk
/-- the `n`-dimensional simplex can be denoted `[n]` -/
scoped[Simplicial] notation "[" n "]" => SimplexCategory.mk n
-- TODO: Make `len` irreducible.
/-- The length of an object of `SimplexCategory`. -/
def len (n : SimplexCategory) : ℕ :=
n
#align simplex_category.len SimplexCategory.len
@[ext]
theorem ext (a b : SimplexCategory) : a.len = b.len → a = b :=
id
#align simplex_category.ext SimplexCategory.ext
attribute [irreducible] SimplexCategory
open Simplicial
@[simp]
theorem len_mk (n : ℕ) : [n].len = n :=
rfl
#align simplex_category.len_mk SimplexCategory.len_mk
@[simp]
theorem mk_len (n : SimplexCategory) : ([n.len] : SimplexCategory) = n :=
rfl
#align simplex_category.mk_len SimplexCategory.mk_len
/-- A recursor for `SimplexCategory`. Use it as `induction Δ using SimplexCategory.rec`. -/
protected def rec {F : SimplexCategory → Sort*} (h : ∀ n : ℕ, F [n]) : ∀ X, F X := fun n =>
h n.len
#align simplex_category.rec SimplexCategory.rec
-- porting note (#5171): removed @[nolint has_nonempty_instance]
/-- Morphisms in the `SimplexCategory`. -/
protected def Hom (a b : SimplexCategory) :=
Fin (a.len + 1) →o Fin (b.len + 1)
#align simplex_category.hom SimplexCategory.Hom
namespace Hom
/-- Make a morphism in `SimplexCategory` from a monotone map of `Fin`'s. -/
def mk {a b : SimplexCategory} (f : Fin (a.len + 1) →o Fin (b.len + 1)) : SimplexCategory.Hom a b :=
f
#align simplex_category.hom.mk SimplexCategory.Hom.mk
/-- Recover the monotone map from a morphism in the simplex category. -/
def toOrderHom {a b : SimplexCategory} (f : SimplexCategory.Hom a b) :
Fin (a.len + 1) →o Fin (b.len + 1) :=
f
#align simplex_category.hom.to_order_hom SimplexCategory.Hom.toOrderHom
theorem ext' {a b : SimplexCategory} (f g : SimplexCategory.Hom a b) :
f.toOrderHom = g.toOrderHom → f = g :=
id
#align simplex_category.hom.ext SimplexCategory.Hom.ext'
attribute [irreducible] SimplexCategory.Hom
@[simp]
theorem mk_toOrderHom {a b : SimplexCategory} (f : SimplexCategory.Hom a b) : mk f.toOrderHom = f :=
rfl
#align simplex_category.hom.mk_to_order_hom SimplexCategory.Hom.mk_toOrderHom
@[simp]
theorem toOrderHom_mk {a b : SimplexCategory} (f : Fin (a.len + 1) →o Fin (b.len + 1)) :
(mk f).toOrderHom = f :=
rfl
#align simplex_category.hom.to_order_hom_mk SimplexCategory.Hom.toOrderHom_mk
theorem mk_toOrderHom_apply {a b : SimplexCategory} (f : Fin (a.len + 1) →o Fin (b.len + 1))
(i : Fin (a.len + 1)) : (mk f).toOrderHom i = f i :=
rfl
#align simplex_category.hom.mk_to_order_hom_apply SimplexCategory.Hom.mk_toOrderHom_apply
/-- Identity morphisms of `SimplexCategory`. -/
@[simp]
def id (a : SimplexCategory) : SimplexCategory.Hom a a :=
mk OrderHom.id
#align simplex_category.hom.id SimplexCategory.Hom.id
/-- Composition of morphisms of `SimplexCategory`. -/
@[simp]
def comp {a b c : SimplexCategory} (f : SimplexCategory.Hom b c) (g : SimplexCategory.Hom a b) :
SimplexCategory.Hom a c :=
mk <| f.toOrderHom.comp g.toOrderHom
#align simplex_category.hom.comp SimplexCategory.Hom.comp
end Hom
instance smallCategory : SmallCategory.{0} SimplexCategory where
Hom n m := SimplexCategory.Hom n m
id m := SimplexCategory.Hom.id _
comp f g := SimplexCategory.Hom.comp g f
#align simplex_category.small_category SimplexCategory.smallCategory
@[simp]
lemma id_toOrderHom (a : SimplexCategory) :
Hom.toOrderHom (𝟙 a) = OrderHom.id := rfl
@[simp]
lemma comp_toOrderHom {a b c: SimplexCategory} (f : a ⟶ b) (g : b ⟶ c) :
(f ≫ g).toOrderHom = g.toOrderHom.comp f.toOrderHom := rfl
-- Porting note: added because `Hom.ext'` is not triggered automatically
@[ext]
theorem Hom.ext {a b : SimplexCategory} (f g : a ⟶ b) :
f.toOrderHom = g.toOrderHom → f = g :=
Hom.ext' _ _
/-- The constant morphism from [0]. -/
def const (x y : SimplexCategory) (i : Fin (y.len + 1)) : x ⟶ y :=
Hom.mk <| ⟨fun _ => i, by tauto⟩
#align simplex_category.const SimplexCategory.const
@[simp]
lemma const_eq_id : const [0] [0] 0 = 𝟙 _ := by aesop
@[simp]
lemma const_apply (x y : SimplexCategory) (i : Fin (y.len + 1)) (a : Fin (x.len + 1)) :
(const x y i).toOrderHom a = i := rfl
@[simp]
theorem const_comp (x : SimplexCategory) {y z : SimplexCategory}
(f : y ⟶ z) (i : Fin (y.len + 1)) :
const x y i ≫ f = const x z (f.toOrderHom i) :=
rfl
#align simplex_category.const_comp SimplexCategory.const_comp
/-- Make a morphism `[n] ⟶ [m]` from a monotone map between fin's.
This is useful for constructing morphisms between `[n]` directly
without identifying `n` with `[n].len`.
-/
@[simp]
def mkHom {n m : ℕ} (f : Fin (n + 1) →o Fin (m + 1)) : ([n] : SimplexCategory) ⟶ [m] :=
SimplexCategory.Hom.mk f
#align simplex_category.mk_hom SimplexCategory.mkHom
theorem hom_zero_zero (f : ([0] : SimplexCategory) ⟶ [0]) : f = 𝟙 _ := by
ext : 3
apply @Subsingleton.elim (Fin 1)
#align simplex_category.hom_zero_zero SimplexCategory.hom_zero_zero
end
open Simplicial
section Generators
/-!
## Generating maps for the simplex category
TODO: prove that the simplex category is equivalent to
one given by the following generators and relations.
-/
/-- The `i`-th face map from `[n]` to `[n+1]` -/
def δ {n} (i : Fin (n + 2)) : ([n] : SimplexCategory) ⟶ [n + 1] :=
mkHom (Fin.succAboveOrderEmb i).toOrderHom
#align simplex_category.δ SimplexCategory.δ
/-- The `i`-th degeneracy map from `[n+1]` to `[n]` -/
def σ {n} (i : Fin (n + 1)) : ([n + 1] : SimplexCategory) ⟶ [n] :=
mkHom
{ toFun := Fin.predAbove i
monotone' := Fin.predAbove_right_monotone i }
#align simplex_category.σ SimplexCategory.σ
/-- The generic case of the first simplicial identity -/
theorem δ_comp_δ {n} {i j : Fin (n + 2)} (H : i ≤ j) :
δ i ≫ δ j.succ = δ j ≫ δ (Fin.castSucc i) := by
ext k
dsimp [δ, Fin.succAbove]
rcases i with ⟨i, _⟩
rcases j with ⟨j, _⟩
rcases k with ⟨k, _⟩
split_ifs <;> · simp at * <;> omega
#align simplex_category.δ_comp_δ SimplexCategory.δ_comp_δ
theorem δ_comp_δ' {n} {i : Fin (n + 2)} {j : Fin (n + 3)} (H : Fin.castSucc i < j) :
δ i ≫ δ j =
δ (j.pred fun (hj : j = 0) => by simp [hj, Fin.not_lt_zero] at H) ≫
δ (Fin.castSucc i) := by
rw [← δ_comp_δ]
· rw [Fin.succ_pred]
· simpa only [Fin.le_iff_val_le_val, ← Nat.lt_succ_iff, Nat.succ_eq_add_one, ← Fin.val_succ,
j.succ_pred, Fin.lt_iff_val_lt_val] using H
#align simplex_category.δ_comp_δ' SimplexCategory.δ_comp_δ'
theorem δ_comp_δ'' {n} {i : Fin (n + 3)} {j : Fin (n + 2)} (H : i ≤ Fin.castSucc j) :
δ (i.castLT (Nat.lt_of_le_of_lt (Fin.le_iff_val_le_val.mp H) j.is_lt)) ≫ δ j.succ =
δ j ≫ δ i := by
rw [δ_comp_δ]
· rfl
· exact H
#align simplex_category.δ_comp_δ'' SimplexCategory.δ_comp_δ''
/-- The special case of the first simplicial identity -/
@[reassoc]
theorem δ_comp_δ_self {n} {i : Fin (n + 2)} : δ i ≫ δ (Fin.castSucc i) = δ i ≫ δ i.succ :=
(δ_comp_δ (le_refl i)).symm
#align simplex_category.δ_comp_δ_self SimplexCategory.δ_comp_δ_self
@[reassoc]
theorem δ_comp_δ_self' {n} {i : Fin (n + 2)} {j : Fin (n + 3)} (H : j = Fin.castSucc i) :
δ i ≫ δ j = δ i ≫ δ i.succ := by
subst H
rw [δ_comp_δ_self]
#align simplex_category.δ_comp_δ_self' SimplexCategory.δ_comp_δ_self'
/-- The second simplicial identity -/
@[reassoc]
theorem δ_comp_σ_of_le {n} {i : Fin (n + 2)} {j : Fin (n + 1)} (H : i ≤ Fin.castSucc j) :
δ (Fin.castSucc i) ≫ σ j.succ = σ j ≫ δ i := by
ext k : 3
dsimp [σ, δ]
rcases le_or_lt i k with (hik | hik)
· rw [Fin.succAbove_of_le_castSucc _ _ (Fin.castSucc_le_castSucc_iff.mpr hik),
Fin.succ_predAbove_succ, Fin.succAbove_of_le_castSucc]
rcases le_or_lt k (j.castSucc) with (hjk | hjk)
· rwa [Fin.predAbove_of_le_castSucc _ _ hjk, Fin.castSucc_castPred]
· rw [Fin.le_castSucc_iff, Fin.predAbove_of_castSucc_lt _ _ hjk, Fin.succ_pred]
exact H.trans_lt hjk
· rw [Fin.succAbove_of_castSucc_lt _ _ (Fin.castSucc_lt_castSucc_iff.mpr hik)]
have hjk := H.trans_lt' hik
rw [Fin.predAbove_of_le_castSucc _ _ (Fin.castSucc_le_castSucc_iff.mpr
(hjk.trans (Fin.castSucc_lt_succ _)).le),
Fin.predAbove_of_le_castSucc _ _ hjk.le, Fin.castPred_castSucc, Fin.succAbove_of_castSucc_lt,
Fin.castSucc_castPred]
rwa [Fin.castSucc_castPred]
#align simplex_category.δ_comp_σ_of_le SimplexCategory.δ_comp_σ_of_le
/-- The first part of the third simplicial identity -/
@[reassoc]
theorem δ_comp_σ_self {n} {i : Fin (n + 1)} :
δ (Fin.castSucc i) ≫ σ i = 𝟙 ([n] : SimplexCategory) := by
rcases i with ⟨i, hi⟩
ext ⟨j, hj⟩
simp? at hj says simp only [len_mk] at hj
dsimp [σ, δ, Fin.predAbove, Fin.succAbove]
simp only [Fin.lt_iff_val_lt_val, Fin.dite_val, Fin.ite_val, Fin.coe_pred, ge_iff_le,
Fin.coe_castLT, dite_eq_ite]
split_ifs
any_goals simp
all_goals omega
#align simplex_category.δ_comp_σ_self SimplexCategory.δ_comp_σ_self
@[reassoc]
theorem δ_comp_σ_self' {n} {j : Fin (n + 2)} {i : Fin (n + 1)} (H : j = Fin.castSucc i) :
δ j ≫ σ i = 𝟙 ([n] : SimplexCategory) := by
subst H
rw [δ_comp_σ_self]
#align simplex_category.δ_comp_σ_self' SimplexCategory.δ_comp_σ_self'
/-- The second part of the third simplicial identity -/
@[reassoc]
theorem δ_comp_σ_succ {n} {i : Fin (n + 1)} : δ i.succ ≫ σ i = 𝟙 ([n] : SimplexCategory) := by
ext j
rcases i with ⟨i, _⟩
rcases j with ⟨j, _⟩
dsimp [δ, σ, Fin.succAbove, Fin.predAbove]
split_ifs <;> simp <;> simp at * <;> omega
#align simplex_category.δ_comp_σ_succ SimplexCategory.δ_comp_σ_succ
@[reassoc]
theorem δ_comp_σ_succ' {n} (j : Fin (n + 2)) (i : Fin (n + 1)) (H : j = i.succ) :
δ j ≫ σ i = 𝟙 ([n] : SimplexCategory) := by
subst H
rw [δ_comp_σ_succ]
#align simplex_category.δ_comp_σ_succ' SimplexCategory.δ_comp_σ_succ'
/-- The fourth simplicial identity -/
@[reassoc]
theorem δ_comp_σ_of_gt {n} {i : Fin (n + 2)} {j : Fin (n + 1)} (H : Fin.castSucc j < i) :
δ i.succ ≫ σ (Fin.castSucc j) = σ j ≫ δ i := by
ext k : 3
dsimp [δ, σ]
rcases le_or_lt k i with (hik | hik)
· rw [Fin.succAbove_of_castSucc_lt _ _ (Fin.castSucc_lt_succ_iff.mpr hik)]
rcases le_or_lt k (j.castSucc) with (hjk | hjk)
· rw [Fin.predAbove_of_le_castSucc _ _
(Fin.castSucc_le_castSucc_iff.mpr hjk), Fin.castPred_castSucc,
Fin.predAbove_of_le_castSucc _ _ hjk, Fin.succAbove_of_castSucc_lt, Fin.castSucc_castPred]
rw [Fin.castSucc_castPred]
exact hjk.trans_lt H
· rw [Fin.predAbove_of_castSucc_lt _ _ (Fin.castSucc_lt_castSucc_iff.mpr hjk),
Fin.predAbove_of_castSucc_lt _ _ hjk, Fin.succAbove_of_castSucc_lt,
Fin.castSucc_pred_eq_pred_castSucc]
rwa [Fin.castSucc_lt_iff_succ_le, Fin.succ_pred]
· rw [Fin.succAbove_of_le_castSucc _ _ (Fin.succ_le_castSucc_iff.mpr hik)]
have hjk := H.trans hik
rw [Fin.predAbove_of_castSucc_lt _ _ hjk, Fin.predAbove_of_castSucc_lt _ _
(Fin.castSucc_lt_succ_iff.mpr hjk.le),
Fin.pred_succ, Fin.succAbove_of_le_castSucc, Fin.succ_pred]
rwa [Fin.le_castSucc_pred_iff]
#align simplex_category.δ_comp_σ_of_gt SimplexCategory.δ_comp_σ_of_gt
@[reassoc]
theorem δ_comp_σ_of_gt' {n} {i : Fin (n + 3)} {j : Fin (n + 2)} (H : j.succ < i) :
δ i ≫ σ j = σ (j.castLT ((add_lt_add_iff_right 1).mp (lt_of_lt_of_le H i.is_le))) ≫
δ (i.pred fun (hi : i = 0) => by simp only [Fin.not_lt_zero, hi] at H) := by
rw [← δ_comp_σ_of_gt]
· simp
· rw [Fin.castSucc_castLT, ← Fin.succ_lt_succ_iff, Fin.succ_pred]
exact H
#align simplex_category.δ_comp_σ_of_gt' SimplexCategory.δ_comp_σ_of_gt'
/-- The fifth simplicial identity -/
@[reassoc]
| Mathlib/AlgebraicTopology/SimplexCategory.lean | 369 | 399 | theorem σ_comp_σ {n} {i j : Fin (n + 1)} (H : i ≤ j) :
σ (Fin.castSucc i) ≫ σ j = σ j.succ ≫ σ i := by |
ext k : 3
dsimp [σ]
cases' k using Fin.lastCases with k
· simp only [len_mk, Fin.predAbove_right_last]
· cases' k using Fin.cases with k
· rw [Fin.castSucc_zero, Fin.predAbove_of_le_castSucc _ 0 (Fin.zero_le _),
Fin.predAbove_of_le_castSucc _ _ (Fin.zero_le _), Fin.castPred_zero,
Fin.predAbove_of_le_castSucc _ 0 (Fin.zero_le _),
Fin.predAbove_of_le_castSucc _ _ (Fin.zero_le _)]
· rcases le_or_lt i k with (h | h)
· simp_rw [Fin.predAbove_of_castSucc_lt i.castSucc _ (Fin.castSucc_lt_castSucc_iff.mpr
(Fin.castSucc_lt_succ_iff.mpr h)), ← Fin.succ_castSucc, Fin.pred_succ,
Fin.succ_predAbove_succ]
rw [Fin.predAbove_of_castSucc_lt i _ (Fin.castSucc_lt_succ_iff.mpr _), Fin.pred_succ]
rcases le_or_lt k j with (hkj | hkj)
· rwa [Fin.predAbove_of_le_castSucc _ _ (Fin.castSucc_le_castSucc_iff.mpr hkj),
Fin.castPred_castSucc]
· rw [Fin.predAbove_of_castSucc_lt _ _ (Fin.castSucc_lt_castSucc_iff.mpr hkj),
Fin.le_pred_iff,
Fin.succ_le_castSucc_iff]
exact H.trans_lt hkj
· simp_rw [Fin.predAbove_of_le_castSucc i.castSucc _ (Fin.castSucc_le_castSucc_iff.mpr
(Fin.succ_le_castSucc_iff.mpr h)), Fin.castPred_castSucc, ← Fin.succ_castSucc,
Fin.succ_predAbove_succ]
rw [Fin.predAbove_of_le_castSucc _ k.castSucc
(Fin.castSucc_le_castSucc_iff.mpr (h.le.trans H)),
Fin.castPred_castSucc, Fin.predAbove_of_le_castSucc _ k.succ
(Fin.succ_le_castSucc_iff.mpr (H.trans_lt' h)), Fin.predAbove_of_le_castSucc _ k.succ
(Fin.succ_le_castSucc_iff.mpr h)]
|
/-
Copyright (c) 2018 Robert Y. Lewis. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Robert Y. Lewis
-/
import Mathlib.RingTheory.Valuation.Basic
import Mathlib.NumberTheory.Padics.PadicNorm
import Mathlib.Analysis.Normed.Field.Basic
#align_import number_theory.padics.padic_numbers from "leanprover-community/mathlib"@"b9b2114f7711fec1c1e055d507f082f8ceb2c3b7"
/-!
# p-adic numbers
This file defines the `p`-adic numbers (rationals) `ℚ_[p]` as
the completion of `ℚ` with respect to the `p`-adic norm.
We show that the `p`-adic norm on `ℚ` extends to `ℚ_[p]`, that `ℚ` is embedded in `ℚ_[p]`,
and that `ℚ_[p]` is Cauchy complete.
## Important definitions
* `Padic` : the type of `p`-adic numbers
* `padicNormE` : the rational valued `p`-adic norm on `ℚ_[p]`
* `Padic.addValuation` : the additive `p`-adic valuation on `ℚ_[p]`, with values in `WithTop ℤ`
## Notation
We introduce the notation `ℚ_[p]` for the `p`-adic numbers.
## Implementation notes
Much, but not all, of this file assumes that `p` is prime. This assumption is inferred automatically
by taking `[Fact p.Prime]` as a type class argument.
We use the same concrete Cauchy sequence construction that is used to construct `ℝ`.
`ℚ_[p]` inherits a field structure from this construction.
The extension of the norm on `ℚ` to `ℚ_[p]` is *not* analogous to extending the absolute value to
`ℝ` and hence the proof that `ℚ_[p]` is complete is different from the proof that ℝ is complete.
A small special-purpose simplification tactic, `padic_index_simp`, is used to manipulate sequence
indices in the proof that the norm extends.
`padicNormE` is the rational-valued `p`-adic norm on `ℚ_[p]`.
To instantiate `ℚ_[p]` as a normed field, we must cast this into an `ℝ`-valued norm.
The `ℝ`-valued norm, using notation `‖ ‖` from normed spaces,
is the canonical representation of this norm.
`simp` prefers `padicNorm` to `padicNormE` when possible.
Since `padicNormE` and `‖ ‖` have different types, `simp` does not rewrite one to the other.
Coercions from `ℚ` to `ℚ_[p]` are set up to work with the `norm_cast` tactic.
## References
* [F. Q. Gouvêa, *p-adic numbers*][gouvea1997]
* [R. Y. Lewis, *A formal proof of Hensel's lemma over the p-adic integers*][lewis2019]
* <https://en.wikipedia.org/wiki/P-adic_number>
## Tags
p-adic, p adic, padic, norm, valuation, cauchy, completion, p-adic completion
-/
noncomputable section
open scoped Classical
open Nat multiplicity padicNorm CauSeq CauSeq.Completion Metric
/-- The type of Cauchy sequences of rationals with respect to the `p`-adic norm. -/
abbrev PadicSeq (p : ℕ) :=
CauSeq _ (padicNorm p)
#align padic_seq PadicSeq
namespace PadicSeq
section
variable {p : ℕ} [Fact p.Prime]
/-- The `p`-adic norm of the entries of a nonzero Cauchy sequence of rationals is eventually
constant. -/
theorem stationary {f : CauSeq ℚ (padicNorm p)} (hf : ¬f ≈ 0) :
∃ N, ∀ m n, N ≤ m → N ≤ n → padicNorm p (f n) = padicNorm p (f m) :=
have : ∃ ε > 0, ∃ N1, ∀ j ≥ N1, ε ≤ padicNorm p (f j) :=
CauSeq.abv_pos_of_not_limZero <| not_limZero_of_not_congr_zero hf
let ⟨ε, hε, N1, hN1⟩ := this
let ⟨N2, hN2⟩ := CauSeq.cauchy₂ f hε
⟨max N1 N2, fun n m hn hm ↦ by
have : padicNorm p (f n - f m) < ε := hN2 _ (max_le_iff.1 hn).2 _ (max_le_iff.1 hm).2
have : padicNorm p (f n - f m) < padicNorm p (f n) :=
lt_of_lt_of_le this <| hN1 _ (max_le_iff.1 hn).1
have : padicNorm p (f n - f m) < max (padicNorm p (f n)) (padicNorm p (f m)) :=
lt_max_iff.2 (Or.inl this)
by_contra hne
rw [← padicNorm.neg (f m)] at hne
have hnam := add_eq_max_of_ne hne
rw [padicNorm.neg, max_comm] at hnam
rw [← hnam, sub_eq_add_neg, add_comm] at this
apply _root_.lt_irrefl _ this⟩
#align padic_seq.stationary PadicSeq.stationary
/-- For all `n ≥ stationaryPoint f hf`, the `p`-adic norm of `f n` is the same. -/
def stationaryPoint {f : PadicSeq p} (hf : ¬f ≈ 0) : ℕ :=
Classical.choose <| stationary hf
#align padic_seq.stationary_point PadicSeq.stationaryPoint
theorem stationaryPoint_spec {f : PadicSeq p} (hf : ¬f ≈ 0) :
∀ {m n},
stationaryPoint hf ≤ m → stationaryPoint hf ≤ n → padicNorm p (f n) = padicNorm p (f m) :=
@(Classical.choose_spec <| stationary hf)
#align padic_seq.stationary_point_spec PadicSeq.stationaryPoint_spec
/-- Since the norm of the entries of a Cauchy sequence is eventually stationary,
we can lift the norm to sequences. -/
def norm (f : PadicSeq p) : ℚ :=
if hf : f ≈ 0 then 0 else padicNorm p (f (stationaryPoint hf))
#align padic_seq.norm PadicSeq.norm
theorem norm_zero_iff (f : PadicSeq p) : f.norm = 0 ↔ f ≈ 0 := by
constructor
· intro h
by_contra hf
unfold norm at h
split_ifs at h
· contradiction
apply hf
intro ε hε
exists stationaryPoint hf
intro j hj
have heq := stationaryPoint_spec hf le_rfl hj
simpa [h, heq]
· intro h
simp [norm, h]
#align padic_seq.norm_zero_iff PadicSeq.norm_zero_iff
end
section Embedding
open CauSeq
variable {p : ℕ} [Fact p.Prime]
theorem equiv_zero_of_val_eq_of_equiv_zero {f g : PadicSeq p}
(h : ∀ k, padicNorm p (f k) = padicNorm p (g k)) (hf : f ≈ 0) : g ≈ 0 := fun ε hε ↦
let ⟨i, hi⟩ := hf _ hε
⟨i, fun j hj ↦ by simpa [h] using hi _ hj⟩
#align padic_seq.equiv_zero_of_val_eq_of_equiv_zero PadicSeq.equiv_zero_of_val_eq_of_equiv_zero
theorem norm_nonzero_of_not_equiv_zero {f : PadicSeq p} (hf : ¬f ≈ 0) : f.norm ≠ 0 :=
hf ∘ f.norm_zero_iff.1
#align padic_seq.norm_nonzero_of_not_equiv_zero PadicSeq.norm_nonzero_of_not_equiv_zero
theorem norm_eq_norm_app_of_nonzero {f : PadicSeq p} (hf : ¬f ≈ 0) :
∃ k, f.norm = padicNorm p k ∧ k ≠ 0 :=
have heq : f.norm = padicNorm p (f <| stationaryPoint hf) := by simp [norm, hf]
⟨f <| stationaryPoint hf, heq, fun h ↦
norm_nonzero_of_not_equiv_zero hf (by simpa [h] using heq)⟩
#align padic_seq.norm_eq_norm_app_of_nonzero PadicSeq.norm_eq_norm_app_of_nonzero
theorem not_limZero_const_of_nonzero {q : ℚ} (hq : q ≠ 0) : ¬LimZero (const (padicNorm p) q) :=
fun h' ↦ hq <| const_limZero.1 h'
#align padic_seq.not_lim_zero_const_of_nonzero PadicSeq.not_limZero_const_of_nonzero
theorem not_equiv_zero_const_of_nonzero {q : ℚ} (hq : q ≠ 0) : ¬const (padicNorm p) q ≈ 0 :=
fun h : LimZero (const (padicNorm p) q - 0) ↦ not_limZero_const_of_nonzero hq <| by simpa using h
#align padic_seq.not_equiv_zero_const_of_nonzero PadicSeq.not_equiv_zero_const_of_nonzero
theorem norm_nonneg (f : PadicSeq p) : 0 ≤ f.norm :=
if hf : f ≈ 0 then by simp [hf, norm] else by simp [norm, hf, padicNorm.nonneg]
#align padic_seq.norm_nonneg PadicSeq.norm_nonneg
/-- An auxiliary lemma for manipulating sequence indices. -/
theorem lift_index_left_left {f : PadicSeq p} (hf : ¬f ≈ 0) (v2 v3 : ℕ) :
padicNorm p (f (stationaryPoint hf)) =
padicNorm p (f (max (stationaryPoint hf) (max v2 v3))) := by
apply stationaryPoint_spec hf
· apply le_max_left
· exact le_rfl
#align padic_seq.lift_index_left_left PadicSeq.lift_index_left_left
/-- An auxiliary lemma for manipulating sequence indices. -/
theorem lift_index_left {f : PadicSeq p} (hf : ¬f ≈ 0) (v1 v3 : ℕ) :
padicNorm p (f (stationaryPoint hf)) =
padicNorm p (f (max v1 (max (stationaryPoint hf) v3))) := by
apply stationaryPoint_spec hf
· apply le_trans
· apply le_max_left _ v3
· apply le_max_right
· exact le_rfl
#align padic_seq.lift_index_left PadicSeq.lift_index_left
/-- An auxiliary lemma for manipulating sequence indices. -/
theorem lift_index_right {f : PadicSeq p} (hf : ¬f ≈ 0) (v1 v2 : ℕ) :
padicNorm p (f (stationaryPoint hf)) =
padicNorm p (f (max v1 (max v2 (stationaryPoint hf)))) := by
apply stationaryPoint_spec hf
· apply le_trans
· apply le_max_right v2
· apply le_max_right
· exact le_rfl
#align padic_seq.lift_index_right PadicSeq.lift_index_right
end Embedding
section Valuation
open CauSeq
variable {p : ℕ} [Fact p.Prime]
/-! ### Valuation on `PadicSeq` -/
/-- The `p`-adic valuation on `ℚ` lifts to `PadicSeq p`.
`Valuation f` is defined to be the valuation of the (`ℚ`-valued) stationary point of `f`. -/
def valuation (f : PadicSeq p) : ℤ :=
if hf : f ≈ 0 then 0 else padicValRat p (f (stationaryPoint hf))
#align padic_seq.valuation PadicSeq.valuation
theorem norm_eq_pow_val {f : PadicSeq p} (hf : ¬f ≈ 0) : f.norm = (p : ℚ) ^ (-f.valuation : ℤ) := by
rw [norm, valuation, dif_neg hf, dif_neg hf, padicNorm, if_neg]
intro H
apply CauSeq.not_limZero_of_not_congr_zero hf
intro ε hε
use stationaryPoint hf
intro n hn
rw [stationaryPoint_spec hf le_rfl hn]
simpa [H] using hε
#align padic_seq.norm_eq_pow_val PadicSeq.norm_eq_pow_val
theorem val_eq_iff_norm_eq {f g : PadicSeq p} (hf : ¬f ≈ 0) (hg : ¬g ≈ 0) :
f.valuation = g.valuation ↔ f.norm = g.norm := by
rw [norm_eq_pow_val hf, norm_eq_pow_val hg, ← neg_inj, zpow_inj]
· exact mod_cast (Fact.out : p.Prime).pos
· exact mod_cast (Fact.out : p.Prime).ne_one
#align padic_seq.val_eq_iff_norm_eq PadicSeq.val_eq_iff_norm_eq
end Valuation
end PadicSeq
section
open PadicSeq
-- Porting note: Commented out `padic_index_simp` tactic
/-
private unsafe def index_simp_core (hh hf hg : expr)
(at_ : Interactive.Loc := Interactive.Loc.ns [none]) : tactic Unit := do
let [v1, v2, v3] ← [hh, hf, hg].mapM fun n => tactic.mk_app `` stationary_point [n] <|> return n
let e1 ← tactic.mk_app `` lift_index_left_left [hh, v2, v3] <|> return q(True)
let e2 ← tactic.mk_app `` lift_index_left [hf, v1, v3] <|> return q(True)
let e3 ← tactic.mk_app `` lift_index_right [hg, v1, v2] <|> return q(True)
let sl ← [e1, e2, e3].foldlM (fun s e => simp_lemmas.add s e) simp_lemmas.mk
when at_ (tactic.simp_target sl >> tactic.skip)
let hs ← at_.get_locals
hs (tactic.simp_hyp sl [])
#align index_simp_core index_simp_core
/-- This is a special-purpose tactic that lifts `padicNorm (f (stationary_point f))` to
`padicNorm (f (max _ _ _))`. -/
unsafe def tactic.interactive.padic_index_simp (l : interactive.parse interactive.types.pexpr_list)
(at_ : interactive.parse interactive.types.location) : tactic Unit := do
let [h, f, g] ← l.mapM tactic.i_to_expr
index_simp_core h f g at_
#align tactic.interactive.padic_index_simp tactic.interactive.padic_index_simp
-/
end
namespace PadicSeq
section Embedding
open CauSeq
variable {p : ℕ} [hp : Fact p.Prime]
theorem norm_mul (f g : PadicSeq p) : (f * g).norm = f.norm * g.norm :=
if hf : f ≈ 0 then by
have hg : f * g ≈ 0 := mul_equiv_zero' _ hf
simp only [hf, hg, norm, dif_pos, zero_mul]
else
if hg : g ≈ 0 then by
have hf : f * g ≈ 0 := mul_equiv_zero _ hg
simp only [hf, hg, norm, dif_pos, mul_zero]
else by
unfold norm
split_ifs with hfg
· exact (mul_not_equiv_zero hf hg hfg).elim
-- Porting note: originally `padic_index_simp [hfg, hf, hg]`
rw [lift_index_left_left hfg, lift_index_left hf, lift_index_right hg]
apply padicNorm.mul
#align padic_seq.norm_mul PadicSeq.norm_mul
theorem eq_zero_iff_equiv_zero (f : PadicSeq p) : mk f = 0 ↔ f ≈ 0 :=
mk_eq
#align padic_seq.eq_zero_iff_equiv_zero PadicSeq.eq_zero_iff_equiv_zero
theorem ne_zero_iff_nequiv_zero (f : PadicSeq p) : mk f ≠ 0 ↔ ¬f ≈ 0 :=
not_iff_not.2 (eq_zero_iff_equiv_zero _)
#align padic_seq.ne_zero_iff_nequiv_zero PadicSeq.ne_zero_iff_nequiv_zero
theorem norm_const (q : ℚ) : norm (const (padicNorm p) q) = padicNorm p q :=
if hq : q = 0 then by
have : const (padicNorm p) q ≈ 0 := by simp [hq]; apply Setoid.refl (const (padicNorm p) 0)
subst hq; simp [norm, this]
else by
have : ¬const (padicNorm p) q ≈ 0 := not_equiv_zero_const_of_nonzero hq
simp [norm, this]
#align padic_seq.norm_const PadicSeq.norm_const
theorem norm_values_discrete (a : PadicSeq p) (ha : ¬a ≈ 0) : ∃ z : ℤ, a.norm = (p : ℚ) ^ (-z) := by
let ⟨k, hk, hk'⟩ := norm_eq_norm_app_of_nonzero ha
simpa [hk] using padicNorm.values_discrete hk'
#align padic_seq.norm_values_discrete PadicSeq.norm_values_discrete
theorem norm_one : norm (1 : PadicSeq p) = 1 := by
have h1 : ¬(1 : PadicSeq p) ≈ 0 := one_not_equiv_zero _
simp [h1, norm, hp.1.one_lt]
#align padic_seq.norm_one PadicSeq.norm_one
private theorem norm_eq_of_equiv_aux {f g : PadicSeq p} (hf : ¬f ≈ 0) (hg : ¬g ≈ 0) (hfg : f ≈ g)
(h : padicNorm p (f (stationaryPoint hf)) ≠ padicNorm p (g (stationaryPoint hg)))
(hlt : padicNorm p (g (stationaryPoint hg)) < padicNorm p (f (stationaryPoint hf))) :
False := by
have hpn : 0 < padicNorm p (f (stationaryPoint hf)) - padicNorm p (g (stationaryPoint hg)) :=
sub_pos_of_lt hlt
cases' hfg _ hpn with N hN
let i := max N (max (stationaryPoint hf) (stationaryPoint hg))
have hi : N ≤ i := le_max_left _ _
have hN' := hN _ hi
-- Porting note: originally `padic_index_simp [N, hf, hg] at hN' h hlt`
rw [lift_index_left hf N (stationaryPoint hg), lift_index_right hg N (stationaryPoint hf)]
at hN' h hlt
have hpne : padicNorm p (f i) ≠ padicNorm p (-g i) := by rwa [← padicNorm.neg (g i)] at h
rw [CauSeq.sub_apply, sub_eq_add_neg, add_eq_max_of_ne hpne, padicNorm.neg, max_eq_left_of_lt hlt]
at hN'
have : padicNorm p (f i) < padicNorm p (f i) := by
apply lt_of_lt_of_le hN'
apply sub_le_self
apply padicNorm.nonneg
exact lt_irrefl _ this
private theorem norm_eq_of_equiv {f g : PadicSeq p} (hf : ¬f ≈ 0) (hg : ¬g ≈ 0) (hfg : f ≈ g) :
padicNorm p (f (stationaryPoint hf)) = padicNorm p (g (stationaryPoint hg)) := by
by_contra h
cases'
Decidable.em
(padicNorm p (g (stationaryPoint hg)) < padicNorm p (f (stationaryPoint hf))) with
hlt hnlt
· exact norm_eq_of_equiv_aux hf hg hfg h hlt
· apply norm_eq_of_equiv_aux hg hf (Setoid.symm hfg) (Ne.symm h)
apply lt_of_le_of_ne
· apply le_of_not_gt hnlt
· apply h
theorem norm_equiv {f g : PadicSeq p} (hfg : f ≈ g) : f.norm = g.norm :=
if hf : f ≈ 0 then by
have hg : g ≈ 0 := Setoid.trans (Setoid.symm hfg) hf
simp [norm, hf, hg]
else by
have hg : ¬g ≈ 0 := hf ∘ Setoid.trans hfg
unfold norm; split_ifs; exact norm_eq_of_equiv hf hg hfg
#align padic_seq.norm_equiv PadicSeq.norm_equiv
private theorem norm_nonarchimedean_aux {f g : PadicSeq p} (hfg : ¬f + g ≈ 0) (hf : ¬f ≈ 0)
(hg : ¬g ≈ 0) : (f + g).norm ≤ max f.norm g.norm := by
unfold norm; split_ifs
-- Porting note: originally `padic_index_simp [hfg, hf, hg]`
rw [lift_index_left_left hfg, lift_index_left hf, lift_index_right hg]
apply padicNorm.nonarchimedean
theorem norm_nonarchimedean (f g : PadicSeq p) : (f + g).norm ≤ max f.norm g.norm :=
if hfg : f + g ≈ 0 then by
have : 0 ≤ max f.norm g.norm := le_max_of_le_left (norm_nonneg _)
simpa only [hfg, norm]
else
if hf : f ≈ 0 then by
have hfg' : f + g ≈ g := by
change LimZero (f - 0) at hf
show LimZero (f + g - g); · simpa only [sub_zero, add_sub_cancel_right] using hf
have hcfg : (f + g).norm = g.norm := norm_equiv hfg'
have hcl : f.norm = 0 := (norm_zero_iff f).2 hf
have : max f.norm g.norm = g.norm := by rw [hcl]; exact max_eq_right (norm_nonneg _)
rw [this, hcfg]
else
if hg : g ≈ 0 then by
have hfg' : f + g ≈ f := by
change LimZero (g - 0) at hg
show LimZero (f + g - f); · simpa only [add_sub_cancel_left, sub_zero] using hg
have hcfg : (f + g).norm = f.norm := norm_equiv hfg'
have hcl : g.norm = 0 := (norm_zero_iff g).2 hg
have : max f.norm g.norm = f.norm := by rw [hcl]; exact max_eq_left (norm_nonneg _)
rw [this, hcfg]
else norm_nonarchimedean_aux hfg hf hg
#align padic_seq.norm_nonarchimedean PadicSeq.norm_nonarchimedean
theorem norm_eq {f g : PadicSeq p} (h : ∀ k, padicNorm p (f k) = padicNorm p (g k)) :
f.norm = g.norm :=
if hf : f ≈ 0 then by
have hg : g ≈ 0 := equiv_zero_of_val_eq_of_equiv_zero h hf
simp only [hf, hg, norm, dif_pos]
else by
have hg : ¬g ≈ 0 := fun hg ↦
hf <| equiv_zero_of_val_eq_of_equiv_zero (by simp only [h, forall_const, eq_self_iff_true]) hg
simp only [hg, hf, norm, dif_neg, not_false_iff]
let i := max (stationaryPoint hf) (stationaryPoint hg)
have hpf : padicNorm p (f (stationaryPoint hf)) = padicNorm p (f i) := by
apply stationaryPoint_spec
· apply le_max_left
· exact le_rfl
have hpg : padicNorm p (g (stationaryPoint hg)) = padicNorm p (g i) := by
apply stationaryPoint_spec
· apply le_max_right
· exact le_rfl
rw [hpf, hpg, h]
#align padic_seq.norm_eq PadicSeq.norm_eq
theorem norm_neg (a : PadicSeq p) : (-a).norm = a.norm :=
norm_eq <| by simp
#align padic_seq.norm_neg PadicSeq.norm_neg
theorem norm_eq_of_add_equiv_zero {f g : PadicSeq p} (h : f + g ≈ 0) : f.norm = g.norm := by
have : LimZero (f + g - 0) := h
have : f ≈ -g := show LimZero (f - -g) by simpa only [sub_zero, sub_neg_eq_add]
have : f.norm = (-g).norm := norm_equiv this
simpa only [norm_neg] using this
#align padic_seq.norm_eq_of_add_equiv_zero PadicSeq.norm_eq_of_add_equiv_zero
theorem add_eq_max_of_ne {f g : PadicSeq p} (hfgne : f.norm ≠ g.norm) :
(f + g).norm = max f.norm g.norm :=
have hfg : ¬f + g ≈ 0 := mt norm_eq_of_add_equiv_zero hfgne
if hf : f ≈ 0 then by
have : LimZero (f - 0) := hf
have : f + g ≈ g := show LimZero (f + g - g) by simpa only [sub_zero, add_sub_cancel_right]
have h1 : (f + g).norm = g.norm := norm_equiv this
have h2 : f.norm = 0 := (norm_zero_iff _).2 hf
rw [h1, h2, max_eq_right (norm_nonneg _)]
else
if hg : g ≈ 0 then by
have : LimZero (g - 0) := hg
have : f + g ≈ f := show LimZero (f + g - f) by simpa only [add_sub_cancel_left, sub_zero]
have h1 : (f + g).norm = f.norm := norm_equiv this
have h2 : g.norm = 0 := (norm_zero_iff _).2 hg
rw [h1, h2, max_eq_left (norm_nonneg _)]
else by
unfold norm at hfgne ⊢; split_ifs at hfgne ⊢
-- Porting note: originally `padic_index_simp [hfg, hf, hg] at hfgne ⊢`
rw [lift_index_left hf, lift_index_right hg] at hfgne
· rw [lift_index_left_left hfg, lift_index_left hf, lift_index_right hg]
exact padicNorm.add_eq_max_of_ne hfgne
#align padic_seq.add_eq_max_of_ne PadicSeq.add_eq_max_of_ne
end Embedding
end PadicSeq
/-- The `p`-adic numbers `ℚ_[p]` are the Cauchy completion of `ℚ` with respect to the `p`-adic norm.
-/
def Padic (p : ℕ) [Fact p.Prime] :=
CauSeq.Completion.Cauchy (padicNorm p)
#align padic Padic
/-- notation for p-padic rationals -/
notation "ℚ_[" p "]" => Padic p
namespace Padic
section Completion
variable {p : ℕ} [Fact p.Prime]
instance field : Field ℚ_[p] :=
Cauchy.field
instance : Inhabited ℚ_[p] :=
⟨0⟩
-- short circuits
instance : CommRing ℚ_[p] :=
Cauchy.commRing
instance : Ring ℚ_[p] :=
Cauchy.ring
instance : Zero ℚ_[p] := by infer_instance
instance : One ℚ_[p] := by infer_instance
instance : Add ℚ_[p] := by infer_instance
instance : Mul ℚ_[p] := by infer_instance
instance : Sub ℚ_[p] := by infer_instance
instance : Neg ℚ_[p] := by infer_instance
instance : Div ℚ_[p] := by infer_instance
instance : AddCommGroup ℚ_[p] := by infer_instance
/-- Builds the equivalence class of a Cauchy sequence of rationals. -/
def mk : PadicSeq p → ℚ_[p] :=
Quotient.mk'
#align padic.mk Padic.mk
variable (p)
theorem zero_def : (0 : ℚ_[p]) = ⟦0⟧ := rfl
#align padic.zero_def Padic.zero_def
theorem mk_eq {f g : PadicSeq p} : mk f = mk g ↔ f ≈ g :=
Quotient.eq'
#align padic.mk_eq Padic.mk_eq
theorem const_equiv {q r : ℚ} : const (padicNorm p) q ≈ const (padicNorm p) r ↔ q = r :=
⟨fun heq ↦ eq_of_sub_eq_zero <| const_limZero.1 heq, fun heq ↦ by
rw [heq]⟩
#align padic.const_equiv Padic.const_equiv
@[norm_cast]
theorem coe_inj {q r : ℚ} : (↑q : ℚ_[p]) = ↑r ↔ q = r :=
⟨(const_equiv p).1 ∘ Quotient.eq'.1, fun h ↦ by rw [h]⟩
#align padic.coe_inj Padic.coe_inj
instance : CharZero ℚ_[p] :=
⟨fun m n ↦ by
rw [← Rat.cast_natCast]
norm_cast
exact id⟩
@[norm_cast]
theorem coe_add : ∀ {x y : ℚ}, (↑(x + y) : ℚ_[p]) = ↑x + ↑y :=
Rat.cast_add _ _
#align padic.coe_add Padic.coe_add
@[norm_cast]
theorem coe_neg : ∀ {x : ℚ}, (↑(-x) : ℚ_[p]) = -↑x :=
Rat.cast_neg _
#align padic.coe_neg Padic.coe_neg
@[norm_cast]
theorem coe_mul : ∀ {x y : ℚ}, (↑(x * y) : ℚ_[p]) = ↑x * ↑y :=
Rat.cast_mul _ _
#align padic.coe_mul Padic.coe_mul
@[norm_cast]
theorem coe_sub : ∀ {x y : ℚ}, (↑(x - y) : ℚ_[p]) = ↑x - ↑y :=
Rat.cast_sub _ _
#align padic.coe_sub Padic.coe_sub
@[norm_cast]
theorem coe_div : ∀ {x y : ℚ}, (↑(x / y) : ℚ_[p]) = ↑x / ↑y :=
Rat.cast_div _ _
#align padic.coe_div Padic.coe_div
@[norm_cast]
theorem coe_one : (↑(1 : ℚ) : ℚ_[p]) = 1 := rfl
#align padic.coe_one Padic.coe_one
@[norm_cast]
theorem coe_zero : (↑(0 : ℚ) : ℚ_[p]) = 0 := rfl
#align padic.coe_zero Padic.coe_zero
end Completion
end Padic
/-- The rational-valued `p`-adic norm on `ℚ_[p]` is lifted from the norm on Cauchy sequences. The
canonical form of this function is the normed space instance, with notation `‖ ‖`. -/
def padicNormE {p : ℕ} [hp : Fact p.Prime] : AbsoluteValue ℚ_[p] ℚ where
toFun := Quotient.lift PadicSeq.norm <| @PadicSeq.norm_equiv _ _
map_mul' q r := Quotient.inductionOn₂ q r <| PadicSeq.norm_mul
nonneg' q := Quotient.inductionOn q <| PadicSeq.norm_nonneg
eq_zero' q := Quotient.inductionOn q fun r ↦ by
rw [Padic.zero_def, Quotient.eq]
exact PadicSeq.norm_zero_iff r
add_le' q r := by
trans
max ((Quotient.lift PadicSeq.norm <| @PadicSeq.norm_equiv _ _) q)
((Quotient.lift PadicSeq.norm <| @PadicSeq.norm_equiv _ _) r)
· exact Quotient.inductionOn₂ q r <| PadicSeq.norm_nonarchimedean
refine max_le_add_of_nonneg (Quotient.inductionOn q <| PadicSeq.norm_nonneg) ?_
exact Quotient.inductionOn r <| PadicSeq.norm_nonneg
#align padic_norm_e padicNormE
namespace padicNormE
section Embedding
open PadicSeq
variable {p : ℕ} [Fact p.Prime]
-- Porting note: Expanded `⟦f⟧` to `Padic.mk f`
theorem defn (f : PadicSeq p) {ε : ℚ} (hε : 0 < ε) :
∃ N, ∀ i ≥ N, padicNormE (Padic.mk f - f i : ℚ_[p]) < ε := by
dsimp [padicNormE]
change ∃ N, ∀ i ≥ N, (f - const _ (f i)).norm < ε
by_contra! h
cases' cauchy₂ f hε with N hN
rcases h N with ⟨i, hi, hge⟩
have hne : ¬f - const (padicNorm p) (f i) ≈ 0 := fun h ↦ by
rw [PadicSeq.norm, dif_pos h] at hge
exact not_lt_of_ge hge hε
unfold PadicSeq.norm at hge; split_ifs at hge
· exact not_le_of_gt hε hge
apply not_le_of_gt _ hge
cases' _root_.em (N ≤ stationaryPoint hne) with hgen hngen
· apply hN _ hgen _ hi
· have := stationaryPoint_spec hne le_rfl (le_of_not_le hngen)
rw [← this]
exact hN _ le_rfl _ hi
#align padic_norm_e.defn padicNormE.defn
/-- Theorems about `padicNormE` are named with a `'` so the names do not conflict with the
equivalent theorems about `norm` (`‖ ‖`). -/
theorem nonarchimedean' (q r : ℚ_[p]) :
padicNormE (q + r : ℚ_[p]) ≤ max (padicNormE q) (padicNormE r) :=
Quotient.inductionOn₂ q r <| norm_nonarchimedean
#align padic_norm_e.nonarchimedean' padicNormE.nonarchimedean'
/-- Theorems about `padicNormE` are named with a `'` so the names do not conflict with the
equivalent theorems about `norm` (`‖ ‖`). -/
theorem add_eq_max_of_ne' {q r : ℚ_[p]} :
padicNormE q ≠ padicNormE r → padicNormE (q + r : ℚ_[p]) = max (padicNormE q) (padicNormE r) :=
Quotient.inductionOn₂ q r fun _ _ ↦ PadicSeq.add_eq_max_of_ne
#align padic_norm_e.add_eq_max_of_ne' padicNormE.add_eq_max_of_ne'
@[simp]
theorem eq_padic_norm' (q : ℚ) : padicNormE (q : ℚ_[p]) = padicNorm p q :=
norm_const _
#align padic_norm_e.eq_padic_norm' padicNormE.eq_padic_norm'
protected theorem image' {q : ℚ_[p]} : q ≠ 0 → ∃ n : ℤ, padicNormE q = (p : ℚ) ^ (-n) :=
Quotient.inductionOn q fun f hf ↦
have : ¬f ≈ 0 := (ne_zero_iff_nequiv_zero f).1 hf
norm_values_discrete f this
#align padic_norm_e.image' padicNormE.image'
end Embedding
end padicNormE
namespace Padic
section Complete
open PadicSeq Padic
variable {p : ℕ} [Fact p.Prime] (f : CauSeq _ (@padicNormE p _))
theorem rat_dense' (q : ℚ_[p]) {ε : ℚ} (hε : 0 < ε) : ∃ r : ℚ, padicNormE (q - r : ℚ_[p]) < ε :=
Quotient.inductionOn q fun q' ↦
have : ∃ N, ∀ m ≥ N, ∀ n ≥ N, padicNorm p (q' m - q' n) < ε := cauchy₂ _ hε
let ⟨N, hN⟩ := this
⟨q' N, by
dsimp [padicNormE]
-- Porting note: `change` → `convert_to` (`change` times out!)
-- and add `PadicSeq p` type annotation
convert_to PadicSeq.norm (q' - const _ (q' N) : PadicSeq p) < ε
cases' Decidable.em (q' - const (padicNorm p) (q' N) ≈ 0) with heq hne'
· simpa only [heq, PadicSeq.norm, dif_pos]
· simp only [PadicSeq.norm, dif_neg hne']
change padicNorm p (q' _ - q' _) < ε
cases' Decidable.em (stationaryPoint hne' ≤ N) with hle hle
· -- Porting note: inlined `stationaryPoint_spec` invocation.
have := (stationaryPoint_spec hne' le_rfl hle).symm
simp only [const_apply, sub_apply, padicNorm.zero, sub_self] at this
simpa only [this]
· exact hN _ (lt_of_not_ge hle).le _ le_rfl⟩
#align padic.rat_dense' Padic.rat_dense'
open scoped Classical
private theorem div_nat_pos (n : ℕ) : 0 < 1 / (n + 1 : ℚ) :=
div_pos zero_lt_one (mod_cast succ_pos _)
/-- `limSeq f`, for `f` a Cauchy sequence of `p`-adic numbers, is a sequence of rationals with the
same limit point as `f`. -/
def limSeq : ℕ → ℚ :=
fun n ↦ Classical.choose (rat_dense' (f n) (div_nat_pos n))
#align padic.lim_seq Padic.limSeq
theorem exi_rat_seq_conv {ε : ℚ} (hε : 0 < ε) :
∃ N, ∀ i ≥ N, padicNormE (f i - (limSeq f i : ℚ_[p]) : ℚ_[p]) < ε := by
refine (exists_nat_gt (1 / ε)).imp fun N hN i hi ↦ ?_
have h := Classical.choose_spec (rat_dense' (f i) (div_nat_pos i))
refine lt_of_lt_of_le h ((div_le_iff' <| mod_cast succ_pos _).mpr ?_)
rw [right_distrib]
apply le_add_of_le_of_nonneg
· exact (div_le_iff hε).mp (le_trans (le_of_lt hN) (mod_cast hi))
· apply le_of_lt
simpa
#align padic.exi_rat_seq_conv Padic.exi_rat_seq_conv
theorem exi_rat_seq_conv_cauchy : IsCauSeq (padicNorm p) (limSeq f) := fun ε hε ↦ by
have hε3 : 0 < ε / 3 := div_pos hε (by norm_num)
let ⟨N, hN⟩ := exi_rat_seq_conv f hε3
let ⟨N2, hN2⟩ := f.cauchy₂ hε3
exists max N N2
intro j hj
suffices
padicNormE (limSeq f j - f (max N N2) + (f (max N N2) - limSeq f (max N N2)) : ℚ_[p]) < ε by
ring_nf at this ⊢
rw [← padicNormE.eq_padic_norm']
exact mod_cast this
apply lt_of_le_of_lt
· apply padicNormE.add_le
· rw [← add_thirds ε]
apply _root_.add_lt_add
· suffices padicNormE (limSeq f j - f j + (f j - f (max N N2)) : ℚ_[p]) < ε / 3 + ε / 3 by
simpa only [sub_add_sub_cancel]
apply lt_of_le_of_lt
· apply padicNormE.add_le
· apply _root_.add_lt_add
· rw [padicNormE.map_sub]
apply mod_cast hN j
exact le_of_max_le_left hj
· exact hN2 _ (le_of_max_le_right hj) _ (le_max_right _ _)
· apply mod_cast hN (max N N2)
apply le_max_left
#align padic.exi_rat_seq_conv_cauchy Padic.exi_rat_seq_conv_cauchy
private def lim' : PadicSeq p :=
⟨_, exi_rat_seq_conv_cauchy f⟩
private def lim : ℚ_[p] :=
⟦lim' f⟧
theorem complete' : ∃ q : ℚ_[p], ∀ ε > 0, ∃ N, ∀ i ≥ N, padicNormE (q - f i : ℚ_[p]) < ε :=
⟨lim f, fun ε hε ↦ by
obtain ⟨N, hN⟩ := exi_rat_seq_conv f (half_pos hε)
obtain ⟨N2, hN2⟩ := padicNormE.defn (lim' f) (half_pos hε)
refine ⟨max N N2, fun i hi ↦ ?_⟩
rw [← sub_add_sub_cancel _ (lim' f i : ℚ_[p]) _]
refine (padicNormE.add_le _ _).trans_lt ?_
rw [← add_halves ε]
apply _root_.add_lt_add
· apply hN2 _ (le_of_max_le_right hi)
· rw [padicNormE.map_sub]
exact hN _ (le_of_max_le_left hi)⟩
#align padic.complete' Padic.complete'
theorem complete'' : ∃ q : ℚ_[p], ∀ ε > 0, ∃ N, ∀ i ≥ N, padicNormE (f i - q : ℚ_[p]) < ε := by
obtain ⟨x, hx⟩ := complete' f
refine ⟨x, fun ε hε => ?_⟩
obtain ⟨N, hN⟩ := hx ε hε
refine ⟨N, fun i hi => ?_⟩
rw [padicNormE.map_sub]
exact hN i hi
end Complete
section NormedSpace
variable (p : ℕ) [Fact p.Prime]
instance : Dist ℚ_[p] :=
⟨fun x y ↦ padicNormE (x - y : ℚ_[p])⟩
instance metricSpace : MetricSpace ℚ_[p] where
dist_self := by simp [dist]
dist := dist
dist_comm x y := by simp [dist, ← padicNormE.map_neg (x - y : ℚ_[p])]
dist_triangle x y z := by
dsimp [dist]
exact mod_cast padicNormE.sub_le x y z
eq_of_dist_eq_zero := by
dsimp [dist]; intro _ _ h
apply eq_of_sub_eq_zero
apply padicNormE.eq_zero.1
exact mod_cast h
-- Porting note: added because autoparam was not ported
edist_dist := by intros; exact (ENNReal.ofReal_eq_coe_nnreal _).symm
instance : Norm ℚ_[p] :=
⟨fun x ↦ padicNormE x⟩
instance normedField : NormedField ℚ_[p] :=
{ Padic.field,
Padic.metricSpace p with
dist_eq := fun _ _ ↦ rfl
norm_mul' := by simp [Norm.norm, map_mul]
norm := norm }
instance isAbsoluteValue : IsAbsoluteValue fun a : ℚ_[p] ↦ ‖a‖ where
abv_nonneg' := norm_nonneg
abv_eq_zero' := norm_eq_zero
abv_add' := norm_add_le
abv_mul' := by simp [Norm.norm, map_mul]
#align padic.is_absolute_value Padic.isAbsoluteValue
theorem rat_dense (q : ℚ_[p]) {ε : ℝ} (hε : 0 < ε) : ∃ r : ℚ, ‖q - r‖ < ε :=
let ⟨ε', hε'l, hε'r⟩ := exists_rat_btwn hε
let ⟨r, hr⟩ := rat_dense' q (ε := ε') (by simpa using hε'l)
⟨r, lt_trans (by simpa [Norm.norm] using hr) hε'r⟩
#align padic.rat_dense Padic.rat_dense
end NormedSpace
end Padic
namespace padicNormE
section NormedSpace
variable {p : ℕ} [hp : Fact p.Prime]
-- Porting note: Linter thinks this is a duplicate simp lemma, so `priority` is assigned
@[simp (high)]
protected theorem mul (q r : ℚ_[p]) : ‖q * r‖ = ‖q‖ * ‖r‖ := by simp [Norm.norm, map_mul]
#align padic_norm_e.mul padicNormE.mul
protected theorem is_norm (q : ℚ_[p]) : ↑(padicNormE q) = ‖q‖ := rfl
#align padic_norm_e.is_norm padicNormE.is_norm
theorem nonarchimedean (q r : ℚ_[p]) : ‖q + r‖ ≤ max ‖q‖ ‖r‖ := by
dsimp [norm]
exact mod_cast nonarchimedean' _ _
#align padic_norm_e.nonarchimedean padicNormE.nonarchimedean
theorem add_eq_max_of_ne {q r : ℚ_[p]} (h : ‖q‖ ≠ ‖r‖) : ‖q + r‖ = max ‖q‖ ‖r‖ := by
dsimp [norm] at h ⊢
have : padicNormE q ≠ padicNormE r := mod_cast h
exact mod_cast add_eq_max_of_ne' this
#align padic_norm_e.add_eq_max_of_ne padicNormE.add_eq_max_of_ne
@[simp]
theorem eq_padicNorm (q : ℚ) : ‖(q : ℚ_[p])‖ = padicNorm p q := by
dsimp [norm]
rw [← padicNormE.eq_padic_norm']
#align padic_norm_e.eq_padic_norm padicNormE.eq_padicNorm
@[simp]
theorem norm_p : ‖(p : ℚ_[p])‖ = (p : ℝ)⁻¹ := by
rw [← @Rat.cast_natCast ℝ _ p]
rw [← @Rat.cast_natCast ℚ_[p] _ p]
simp [hp.1.ne_zero, hp.1.ne_one, norm, padicNorm, padicValRat, padicValInt, zpow_neg,
-Rat.cast_natCast]
#align padic_norm_e.norm_p padicNormE.norm_p
theorem norm_p_lt_one : ‖(p : ℚ_[p])‖ < 1 := by
rw [norm_p]
apply inv_lt_one
exact mod_cast hp.1.one_lt
#align padic_norm_e.norm_p_lt_one padicNormE.norm_p_lt_one
-- Porting note: Linter thinks this is a duplicate simp lemma, so `priority` is assigned
@[simp (high)]
theorem norm_p_zpow (n : ℤ) : ‖(p : ℚ_[p]) ^ n‖ = (p : ℝ) ^ (-n) := by
rw [norm_zpow, norm_p, zpow_neg, inv_zpow]
#align padic_norm_e.norm_p_zpow padicNormE.norm_p_zpow
-- Porting note: Linter thinks this is a duplicate simp lemma, so `priority` is assigned
@[simp (high)]
theorem norm_p_pow (n : ℕ) : ‖(p : ℚ_[p]) ^ n‖ = (p : ℝ) ^ (-n : ℤ) := by
rw [← norm_p_zpow, zpow_natCast]
#align padic_norm_e.norm_p_pow padicNormE.norm_p_pow
instance : NontriviallyNormedField ℚ_[p] :=
{ Padic.normedField p with
non_trivial :=
⟨p⁻¹, by
rw [norm_inv, norm_p, inv_inv]
exact mod_cast hp.1.one_lt⟩ }
protected theorem image {q : ℚ_[p]} : q ≠ 0 → ∃ n : ℤ, ‖q‖ = ↑((p : ℚ) ^ (-n)) :=
Quotient.inductionOn q fun f hf ↦
have : ¬f ≈ 0 := (PadicSeq.ne_zero_iff_nequiv_zero f).1 hf
let ⟨n, hn⟩ := PadicSeq.norm_values_discrete f this
⟨n, by rw [← hn]; rfl⟩
#align padic_norm_e.image padicNormE.image
protected theorem is_rat (q : ℚ_[p]) : ∃ q' : ℚ, ‖q‖ = q' :=
if h : q = 0 then ⟨0, by simp [h]⟩
else
let ⟨n, hn⟩ := padicNormE.image h
⟨_, hn⟩
#align padic_norm_e.is_rat padicNormE.is_rat
/-- `ratNorm q`, for a `p`-adic number `q` is the `p`-adic norm of `q`, as rational number.
The lemma `padicNormE.eq_ratNorm` asserts `‖q‖ = ratNorm q`. -/
def ratNorm (q : ℚ_[p]) : ℚ :=
Classical.choose (padicNormE.is_rat q)
#align padic_norm_e.rat_norm padicNormE.ratNorm
theorem eq_ratNorm (q : ℚ_[p]) : ‖q‖ = ratNorm q :=
Classical.choose_spec (padicNormE.is_rat q)
#align padic_norm_e.eq_rat_norm padicNormE.eq_ratNorm
theorem norm_rat_le_one : ∀ {q : ℚ} (_ : ¬p ∣ q.den), ‖(q : ℚ_[p])‖ ≤ 1
| ⟨n, d, hn, hd⟩ => fun hq : ¬p ∣ d ↦
if hnz : n = 0 then by
have : (⟨n, d, hn, hd⟩ : ℚ) = 0 := Rat.zero_iff_num_zero.mpr hnz
set_option tactic.skipAssignedInstances false in norm_num [this]
else by
have hnz' : (⟨n, d, hn, hd⟩ : ℚ) ≠ 0 := mt Rat.zero_iff_num_zero.1 hnz
rw [padicNormE.eq_padicNorm]
norm_cast
-- Porting note: `Nat.cast_zero` instead of another `norm_cast` call
rw [padicNorm.eq_zpow_of_nonzero hnz', padicValRat, neg_sub,
padicValNat.eq_zero_of_not_dvd hq, Nat.cast_zero, zero_sub, zpow_neg, zpow_natCast]
apply inv_le_one
norm_cast
apply one_le_pow
exact hp.1.pos
#align padic_norm_e.norm_rat_le_one padicNormE.norm_rat_le_one
theorem norm_int_le_one (z : ℤ) : ‖(z : ℚ_[p])‖ ≤ 1 :=
suffices ‖((z : ℚ) : ℚ_[p])‖ ≤ 1 by simpa
norm_rat_le_one <| by simp [hp.1.ne_one]
#align padic_norm_e.norm_int_le_one padicNormE.norm_int_le_one
theorem norm_int_lt_one_iff_dvd (k : ℤ) : ‖(k : ℚ_[p])‖ < 1 ↔ ↑p ∣ k := by
constructor
· intro h
contrapose! h
apply le_of_eq
rw [eq_comm]
calc
‖(k : ℚ_[p])‖ = ‖((k : ℚ) : ℚ_[p])‖ := by norm_cast
_ = padicNorm p k := padicNormE.eq_padicNorm _
_ = 1 := mod_cast (int_eq_one_iff k).mpr h
· rintro ⟨x, rfl⟩
push_cast
rw [padicNormE.mul]
calc
_ ≤ ‖(p : ℚ_[p])‖ * 1 :=
mul_le_mul le_rfl (by simpa using norm_int_le_one _) (norm_nonneg _) (norm_nonneg _)
_ < 1 := by
rw [mul_one, padicNormE.norm_p]
apply inv_lt_one
exact mod_cast hp.1.one_lt
#align padic_norm_e.norm_int_lt_one_iff_dvd padicNormE.norm_int_lt_one_iff_dvd
theorem norm_int_le_pow_iff_dvd (k : ℤ) (n : ℕ) :
‖(k : ℚ_[p])‖ ≤ (p : ℝ) ^ (-n : ℤ) ↔ (p ^ n : ℤ) ∣ k := by
have : (p : ℝ) ^ (-n : ℤ) = (p : ℚ) ^ (-n : ℤ) := by simp
rw [show (k : ℚ_[p]) = ((k : ℚ) : ℚ_[p]) by norm_cast, eq_padicNorm, this]
norm_cast
rw [← padicNorm.dvd_iff_norm_le]
#align padic_norm_e.norm_int_le_pow_iff_dvd padicNormE.norm_int_le_pow_iff_dvd
theorem eq_of_norm_add_lt_right {z1 z2 : ℚ_[p]} (h : ‖z1 + z2‖ < ‖z2‖) : ‖z1‖ = ‖z2‖ :=
_root_.by_contradiction fun hne ↦
not_lt_of_ge (by rw [padicNormE.add_eq_max_of_ne hne]; apply le_max_right) h
#align padic_norm_e.eq_of_norm_add_lt_right padicNormE.eq_of_norm_add_lt_right
theorem eq_of_norm_add_lt_left {z1 z2 : ℚ_[p]} (h : ‖z1 + z2‖ < ‖z1‖) : ‖z1‖ = ‖z2‖ :=
_root_.by_contradiction fun hne ↦
not_lt_of_ge (by rw [padicNormE.add_eq_max_of_ne hne]; apply le_max_left) h
#align padic_norm_e.eq_of_norm_add_lt_left padicNormE.eq_of_norm_add_lt_left
end NormedSpace
end padicNormE
namespace Padic
variable {p : ℕ} [hp : Fact p.Prime]
-- Porting note: remove `set_option eqn_compiler.zeta true`
instance complete : CauSeq.IsComplete ℚ_[p] norm where
isComplete f := by
have cau_seq_norm_e : IsCauSeq padicNormE f := fun ε hε => by
have h := isCauSeq f ε (mod_cast hε)
dsimp [norm] at h
exact mod_cast h
-- Porting note: Padic.complete' works with `f i - q`, but the goal needs `q - f i`,
-- using `rewrite [padicNormE.map_sub]` causes time out, so a separate lemma is created
cases' Padic.complete'' ⟨f, cau_seq_norm_e⟩ with q hq
exists q
intro ε hε
cases' exists_rat_btwn hε with ε' hε'
norm_cast at hε'
cases' hq ε' hε'.1 with N hN
exists N
intro i hi
have h := hN i hi
change norm (f i - q) < ε
refine lt_trans ?_ hε'.2
dsimp [norm]
exact mod_cast h
#align padic.complete Padic.complete
theorem padicNormE_lim_le {f : CauSeq ℚ_[p] norm} {a : ℝ} (ha : 0 < a) (hf : ∀ i, ‖f i‖ ≤ a) :
‖f.lim‖ ≤ a := by
-- Porting note: `Setoid.symm` cannot work out which `Setoid` to use, so instead swap the order
-- now, I use a rewrite to swap it later
obtain ⟨N, hN⟩ := (CauSeq.equiv_lim f) _ ha
rw [← sub_add_cancel f.lim (f N)]
refine le_trans (padicNormE.nonarchimedean _ _) ?_
rw [norm_sub_rev]
exact max_le (le_of_lt (hN _ le_rfl)) (hf _)
-- Porting note: the following nice `calc` block does not work
-- exact calc
-- ‖f.lim‖ = ‖f.lim - f N + f N‖ := sorry
-- ‖f.lim - f N + f N‖ ≤ max ‖f.lim - f N‖ ‖f N‖ := sorry -- (padicNormE.nonarchimedean _ _)
-- max ‖f.lim - f N‖ ‖f N‖ = max ‖f N - f.lim‖ ‖f N‖ := sorry -- by congr; rw [norm_sub_rev]
-- max ‖f N - f.lim‖ ‖f N‖ ≤ a := sorry -- max_le (le_of_lt (hN _ le_rfl)) (hf _)
#align padic.padic_norm_e_lim_le Padic.padicNormE_lim_le
open Filter Set
instance : CompleteSpace ℚ_[p] := by
apply complete_of_cauchySeq_tendsto
intro u hu
let c : CauSeq ℚ_[p] norm := ⟨u, Metric.cauchySeq_iff'.mp hu⟩
refine ⟨c.lim, fun s h ↦ ?_⟩
rcases Metric.mem_nhds_iff.1 h with ⟨ε, ε0, hε⟩
have := c.equiv_lim ε ε0
simp only [mem_map, mem_atTop_sets, mem_setOf_eq]
exact this.imp fun N hN n hn ↦ hε (hN n hn)
/-! ### Valuation on `ℚ_[p]` -/
/-- `Padic.valuation` lifts the `p`-adic valuation on rationals to `ℚ_[p]`. -/
def valuation : ℚ_[p] → ℤ :=
Quotient.lift (@PadicSeq.valuation p _) fun f g h ↦ by
by_cases hf : f ≈ 0
· have hg : g ≈ 0 := Setoid.trans (Setoid.symm h) hf
simp [hf, hg, PadicSeq.valuation]
· have hg : ¬g ≈ 0 := fun hg ↦ hf (Setoid.trans h hg)
rw [PadicSeq.val_eq_iff_norm_eq hf hg]
exact PadicSeq.norm_equiv h
#align padic.valuation Padic.valuation
@[simp]
theorem valuation_zero : valuation (0 : ℚ_[p]) = 0 :=
dif_pos ((const_equiv p).2 rfl)
#align padic.valuation_zero Padic.valuation_zero
@[simp]
theorem valuation_one : valuation (1 : ℚ_[p]) = 0 := by
change dite (CauSeq.const (padicNorm p) 1 ≈ _) _ _ = _
have h : ¬CauSeq.const (padicNorm p) 1 ≈ 0 := by
intro H
erw [const_equiv p] at H
exact one_ne_zero H
rw [dif_neg h]
simp
#align padic.valuation_one Padic.valuation_one
theorem norm_eq_pow_val {x : ℚ_[p]} : x ≠ 0 → ‖x‖ = (p : ℝ) ^ (-x.valuation) := by
refine Quotient.inductionOn' x fun f hf => ?_
change (PadicSeq.norm _ : ℝ) = (p : ℝ) ^ (-PadicSeq.valuation _)
rw [PadicSeq.norm_eq_pow_val]
· change ↑((p : ℚ) ^ (-PadicSeq.valuation f)) = (p : ℝ) ^ (-PadicSeq.valuation f)
rw [Rat.cast_zpow, Rat.cast_natCast]
· apply CauSeq.not_limZero_of_not_congr_zero
-- Porting note: was `contrapose! hf`
intro hf'
apply hf
apply Quotient.sound
simpa using hf'
#align padic.norm_eq_pow_val Padic.norm_eq_pow_val
@[simp]
theorem valuation_p : valuation (p : ℚ_[p]) = 1 := by
have h : (1 : ℝ) < p := mod_cast (Fact.out : p.Prime).one_lt
refine neg_injective ((zpow_strictMono h).injective <| (norm_eq_pow_val ?_).symm.trans ?_)
· exact mod_cast (Fact.out : p.Prime).ne_zero
· simp
#align padic.valuation_p Padic.valuation_p
theorem valuation_map_add {x y : ℚ_[p]} (hxy : x + y ≠ 0) :
min (valuation x) (valuation y) ≤ valuation (x + y : ℚ_[p]) := by
by_cases hx : x = 0
· rw [hx, zero_add]
exact min_le_right _ _
· by_cases hy : y = 0
· rw [hy, add_zero]
exact min_le_left _ _
· have h_norm : ‖x + y‖ ≤ max ‖x‖ ‖y‖ := padicNormE.nonarchimedean x y
have hp_one : (1 : ℝ) < p := by
rw [← Nat.cast_one, Nat.cast_lt]
exact Nat.Prime.one_lt hp.elim
rwa [norm_eq_pow_val hx, norm_eq_pow_val hy, norm_eq_pow_val hxy,
zpow_le_max_iff_min_le hp_one] at h_norm
#align padic.valuation_map_add Padic.valuation_map_add
@[simp]
theorem valuation_map_mul {x y : ℚ_[p]} (hx : x ≠ 0) (hy : y ≠ 0) :
valuation (x * y : ℚ_[p]) = valuation x + valuation y := by
have h_norm : ‖x * y‖ = ‖x‖ * ‖y‖ := norm_mul x y
have hp_ne_one : (p : ℝ) ≠ 1 := by
rw [← Nat.cast_one, Ne, Nat.cast_inj]
exact Nat.Prime.ne_one hp.elim
have hp_pos : (0 : ℝ) < p := by
rw [← Nat.cast_zero, Nat.cast_lt]
exact Nat.Prime.pos hp.elim
rw [norm_eq_pow_val hx, norm_eq_pow_val hy, norm_eq_pow_val (mul_ne_zero hx hy), ←
zpow_add₀ (ne_of_gt hp_pos), zpow_inj hp_pos hp_ne_one, ← neg_add, neg_inj] at h_norm
exact h_norm
#align padic.valuation_map_mul Padic.valuation_map_mul
/-- The additive `p`-adic valuation on `ℚ_[p]`, with values in `WithTop ℤ`. -/
def addValuationDef : ℚ_[p] → WithTop ℤ :=
fun x ↦ if x = 0 then ⊤ else x.valuation
#align padic.add_valuation_def Padic.addValuationDef
@[simp]
theorem AddValuation.map_zero : addValuationDef (0 : ℚ_[p]) = ⊤ := by
rw [addValuationDef, if_pos (Eq.refl _)]
#align padic.add_valuation.map_zero Padic.AddValuation.map_zero
@[simp]
theorem AddValuation.map_one : addValuationDef (1 : ℚ_[p]) = 0 := by
rw [addValuationDef, if_neg one_ne_zero, valuation_one, WithTop.coe_zero]
#align padic.add_valuation.map_one Padic.AddValuation.map_one
| Mathlib/NumberTheory/Padics/PadicNumbers.lean | 1,118 | 1,126 | theorem AddValuation.map_mul (x y : ℚ_[p]) :
addValuationDef (x * y : ℚ_[p]) = addValuationDef x + addValuationDef y := by |
simp only [addValuationDef]
by_cases hx : x = 0
· rw [hx, if_pos (Eq.refl _), zero_mul, if_pos (Eq.refl _), WithTop.top_add]
· by_cases hy : y = 0
· rw [hy, if_pos (Eq.refl _), mul_zero, if_pos (Eq.refl _), WithTop.add_top]
· rw [if_neg hx, if_neg hy, if_neg (mul_ne_zero hx hy), ← WithTop.coe_add, WithTop.coe_eq_coe,
valuation_map_mul hx hy]
|
/-
Copyright (c) 2021 Chris Hughes. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Chris Hughes
-/
import Mathlib.Order.Lattice
import Mathlib.Data.List.Sort
import Mathlib.Logic.Equiv.Fin
import Mathlib.Logic.Equiv.Functor
import Mathlib.Data.Fintype.Card
import Mathlib.Order.RelSeries
#align_import order.jordan_holder from "leanprover-community/mathlib"@"91288e351d51b3f0748f0a38faa7613fb0ae2ada"
/-!
# Jordan-Hölder Theorem
This file proves the Jordan Hölder theorem for a `JordanHolderLattice`, a class also defined in
this file. Examples of `JordanHolderLattice` include `Subgroup G` if `G` is a group, and
`Submodule R M` if `M` is an `R`-module. Using this approach the theorem need not be proved
separately for both groups and modules, the proof in this file can be applied to both.
## Main definitions
The main definitions in this file are `JordanHolderLattice` and `CompositionSeries`,
and the relation `Equivalent` on `CompositionSeries`
A `JordanHolderLattice` is the class for which the Jordan Hölder theorem is proved. A
Jordan Hölder lattice is a lattice equipped with a notion of maximality, `IsMaximal`, and a notion
of isomorphism of pairs `Iso`. In the example of subgroups of a group, `IsMaximal H K` means that
`H` is a maximal normal subgroup of `K`, and `Iso (H₁, K₁) (H₂, K₂)` means that the quotient
`H₁ / K₁` is isomorphic to the quotient `H₂ / K₂`. `Iso` must be symmetric and transitive and must
satisfy the second isomorphism theorem `Iso (H, H ⊔ K) (H ⊓ K, K)`.
A `CompositionSeries X` is a finite nonempty series of elements of the lattice `X` such that
each element is maximal inside the next. The length of a `CompositionSeries X` is
one less than the number of elements in the series. Note that there is no stipulation
that a series start from the bottom of the lattice and finish at the top.
For a composition series `s`, `s.last` is the largest element of the series,
and `s.head` is the least element.
Two `CompositionSeries X`, `s₁` and `s₂` are equivalent if there is a bijection
`e : Fin s₁.length ≃ Fin s₂.length` such that for any `i`,
`Iso (s₁ i, s₁ i.succ) (s₂ (e i), s₂ (e i.succ))`
## Main theorems
The main theorem is `CompositionSeries.jordan_holder`, which says that if two composition
series have the same least element and the same largest element,
then they are `Equivalent`.
## TODO
Provide instances of `JordanHolderLattice` for subgroups, and potentially for modular lattices.
It is not entirely clear how this should be done. Possibly there should be no global instances
of `JordanHolderLattice`, and the instances should only be defined locally in order to prove
the Jordan-Hölder theorem for modules/groups and the API should be transferred because many of the
theorems in this file will have stronger versions for modules. There will also need to be an API for
mapping composition series across homomorphisms. It is also probably possible to
provide an instance of `JordanHolderLattice` for any `ModularLattice`, and in this case the
Jordan-Hölder theorem will say that there is a well defined notion of length of a modular lattice.
However an instance of `JordanHolderLattice` for a modular lattice will not be able to contain
the correct notion of isomorphism for modules, so a separate instance for modules will still be
required and this will clash with the instance for modular lattices, and so at least one of these
instances should not be a global instance.
> [!NOTE]
> The previous paragraph indicates that the instance of `JordanHolderLattice` for submodules should
> be obtained via `ModularLattice`. This is not the case in `mathlib4`.
> See `JordanHolderModule.instJordanHolderLattice`.
-/
universe u
open Set RelSeries
/-- A `JordanHolderLattice` is the class for which the Jordan Hölder theorem is proved. A
Jordan Hölder lattice is a lattice equipped with a notion of maximality, `IsMaximal`, and a notion
of isomorphism of pairs `Iso`. In the example of subgroups of a group, `IsMaximal H K` means that
`H` is a maximal normal subgroup of `K`, and `Iso (H₁, K₁) (H₂, K₂)` means that the quotient
`H₁ / K₁` is isomorphic to the quotient `H₂ / K₂`. `Iso` must be symmetric and transitive and must
satisfy the second isomorphism theorem `Iso (H, H ⊔ K) (H ⊓ K, K)`.
Examples include `Subgroup G` if `G` is a group, and `Submodule R M` if `M` is an `R`-module.
-/
class JordanHolderLattice (X : Type u) [Lattice X] where
IsMaximal : X → X → Prop
lt_of_isMaximal : ∀ {x y}, IsMaximal x y → x < y
sup_eq_of_isMaximal : ∀ {x y z}, IsMaximal x z → IsMaximal y z → x ≠ y → x ⊔ y = z
isMaximal_inf_left_of_isMaximal_sup :
∀ {x y}, IsMaximal x (x ⊔ y) → IsMaximal y (x ⊔ y) → IsMaximal (x ⊓ y) x
Iso : X × X → X × X → Prop
iso_symm : ∀ {x y}, Iso x y → Iso y x
iso_trans : ∀ {x y z}, Iso x y → Iso y z → Iso x z
second_iso : ∀ {x y}, IsMaximal x (x ⊔ y) → Iso (x, x ⊔ y) (x ⊓ y, y)
#align jordan_holder_lattice JordanHolderLattice
namespace JordanHolderLattice
variable {X : Type u} [Lattice X] [JordanHolderLattice X]
theorem isMaximal_inf_right_of_isMaximal_sup {x y : X} (hxz : IsMaximal x (x ⊔ y))
(hyz : IsMaximal y (x ⊔ y)) : IsMaximal (x ⊓ y) y := by
rw [inf_comm]
rw [sup_comm] at hxz hyz
exact isMaximal_inf_left_of_isMaximal_sup hyz hxz
#align jordan_holder_lattice.is_maximal_inf_right_of_is_maximal_sup JordanHolderLattice.isMaximal_inf_right_of_isMaximal_sup
theorem isMaximal_of_eq_inf (x b : X) {a y : X} (ha : x ⊓ y = a) (hxy : x ≠ y) (hxb : IsMaximal x b)
(hyb : IsMaximal y b) : IsMaximal a y := by
have hb : x ⊔ y = b := sup_eq_of_isMaximal hxb hyb hxy
substs a b
exact isMaximal_inf_right_of_isMaximal_sup hxb hyb
#align jordan_holder_lattice.is_maximal_of_eq_inf JordanHolderLattice.isMaximal_of_eq_inf
theorem second_iso_of_eq {x y a b : X} (hm : IsMaximal x a) (ha : x ⊔ y = a) (hb : x ⊓ y = b) :
Iso (x, a) (b, y) := by substs a b; exact second_iso hm
#align jordan_holder_lattice.second_iso_of_eq JordanHolderLattice.second_iso_of_eq
theorem IsMaximal.iso_refl {x y : X} (h : IsMaximal x y) : Iso (x, y) (x, y) :=
second_iso_of_eq h (sup_eq_right.2 (le_of_lt (lt_of_isMaximal h)))
(inf_eq_left.2 (le_of_lt (lt_of_isMaximal h)))
#align jordan_holder_lattice.is_maximal.iso_refl JordanHolderLattice.IsMaximal.iso_refl
end JordanHolderLattice
open JordanHolderLattice
attribute [symm] iso_symm
attribute [trans] iso_trans
/-- A `CompositionSeries X` is a finite nonempty series of elements of a
`JordanHolderLattice` such that each element is maximal inside the next. The length of a
`CompositionSeries X` is one less than the number of elements in the series.
Note that there is no stipulation that a series start from the bottom of the lattice and finish at
the top. For a composition series `s`, `s.last` is the largest element of the series,
and `s.head` is the least element.
-/
abbrev CompositionSeries (X : Type u) [Lattice X] [JordanHolderLattice X] : Type u :=
RelSeries (IsMaximal (X := X))
#align composition_series CompositionSeries
namespace CompositionSeries
variable {X : Type u} [Lattice X] [JordanHolderLattice X]
#noalign composition_series.has_coe_to_fun
#align composition_series.has_inhabited RelSeries.instInhabited
#align composition_series.step RelSeries.membership
theorem lt_succ (s : CompositionSeries X) (i : Fin s.length) :
s (Fin.castSucc i) < s (Fin.succ i) :=
lt_of_isMaximal (s.step _)
#align composition_series.lt_succ CompositionSeries.lt_succ
protected theorem strictMono (s : CompositionSeries X) : StrictMono s :=
Fin.strictMono_iff_lt_succ.2 s.lt_succ
#align composition_series.strict_mono CompositionSeries.strictMono
protected theorem injective (s : CompositionSeries X) : Function.Injective s :=
s.strictMono.injective
#align composition_series.injective CompositionSeries.injective
@[simp]
protected theorem inj (s : CompositionSeries X) {i j : Fin s.length.succ} : s i = s j ↔ i = j :=
s.injective.eq_iff
#align composition_series.inj CompositionSeries.inj
#align composition_series.has_mem RelSeries.membership
#align composition_series.mem_def RelSeries.mem_def
theorem total {s : CompositionSeries X} {x y : X} (hx : x ∈ s) (hy : y ∈ s) : x ≤ y ∨ y ≤ x := by
rcases Set.mem_range.1 hx with ⟨i, rfl⟩
rcases Set.mem_range.1 hy with ⟨j, rfl⟩
rw [s.strictMono.le_iff_le, s.strictMono.le_iff_le]
exact le_total i j
#align composition_series.total CompositionSeries.total
#align composition_series.to_list RelSeries.toList
#align composition_series.ext_fun RelSeries.ext
#align composition_series.length_to_list RelSeries.length_toList
#align composition_series.to_list_ne_nil RelSeries.toList_ne_nil
#align composition_series.to_list_injective RelSeries.toList_injective
#align composition_series.chain'_to_list RelSeries.toList_chain'
theorem toList_sorted (s : CompositionSeries X) : s.toList.Sorted (· < ·) :=
List.pairwise_iff_get.2 fun i j h => by
dsimp only [RelSeries.toList]
rw [List.get_ofFn, List.get_ofFn]
exact s.strictMono h
#align composition_series.to_list_sorted CompositionSeries.toList_sorted
theorem toList_nodup (s : CompositionSeries X) : s.toList.Nodup :=
s.toList_sorted.nodup
#align composition_series.to_list_nodup CompositionSeries.toList_nodup
#align composition_series.mem_to_list RelSeries.mem_toList
#align composition_series.of_list RelSeries.fromListChain'
#align composition_series.length_of_list RelSeries.fromListChain'_length
#noalign composition_series.of_list_to_list
#noalign composition_series.of_list_to_list'
#noalign composition_series.to_list_of_list
/-- Two `CompositionSeries` are equal if they have the same elements. See also `ext_fun`. -/
@[ext]
theorem ext {s₁ s₂ : CompositionSeries X} (h : ∀ x, x ∈ s₁ ↔ x ∈ s₂) : s₁ = s₂ :=
toList_injective <|
List.eq_of_perm_of_sorted
(by
classical
exact List.perm_of_nodup_nodup_toFinset_eq s₁.toList_nodup s₂.toList_nodup
(Finset.ext <| by simpa only [List.mem_toFinset, RelSeries.mem_toList]))
s₁.toList_sorted s₂.toList_sorted
#align composition_series.ext CompositionSeries.ext
#align composition_series.top RelSeries.last
#align composition_series.top_mem RelSeries.last_mem
@[simp]
theorem le_last {s : CompositionSeries X} (i : Fin (s.length + 1)) : s i ≤ s.last :=
s.strictMono.monotone (Fin.le_last _)
#align composition_series.le_top CompositionSeries.le_last
theorem le_last_of_mem {s : CompositionSeries X} {x : X} (hx : x ∈ s) : x ≤ s.last :=
let ⟨_i, hi⟩ := Set.mem_range.2 hx
hi ▸ le_last _
#align composition_series.le_top_of_mem CompositionSeries.le_last_of_mem
#align composition_series.bot RelSeries.head
#align composition_series.bot_mem RelSeries.head_mem
@[simp]
theorem head_le {s : CompositionSeries X} (i : Fin (s.length + 1)) : s.head ≤ s i :=
s.strictMono.monotone (Fin.zero_le _)
#align composition_series.bot_le CompositionSeries.head_le
theorem head_le_of_mem {s : CompositionSeries X} {x : X} (hx : x ∈ s) : s.head ≤ x :=
let ⟨_i, hi⟩ := Set.mem_range.2 hx
hi ▸ head_le _
#align composition_series.bot_le_of_mem CompositionSeries.head_le_of_mem
-- The aligned versions of the following two lemmas are not exactly the same as the original
-- but they are mathematically equivalent.
#align composition_series.length_pos_of_mem_ne RelSeries.length_pos_of_nontrivial
#align composition_series.forall_mem_eq_of_length_eq_zero RelSeries.subsingleton_of_length_eq_zero
#align composition_series.erase_top RelSeries.eraseLast
#align composition_series.top_erase_top RelSeries.last_eraseLast
theorem last_eraseLast_le (s : CompositionSeries X) : s.eraseLast.last ≤ s.last := by
simp [eraseLast, last, s.strictMono.le_iff_le, Fin.le_iff_val_le_val, tsub_le_self]
#align composition_series.erase_top_top_le CompositionSeries.last_eraseLast_le
#align composition_series.bot_erase_top RelSeries.head_eraseLast
theorem mem_eraseLast_of_ne_of_mem {s : CompositionSeries X} {x : X}
(hx : x ≠ s.last) (hxs : x ∈ s) : x ∈ s.eraseLast := by
rcases hxs with ⟨i, rfl⟩
have hi : (i : ℕ) < (s.length - 1).succ := by
conv_rhs => rw [← Nat.succ_sub (length_pos_of_nontrivial ⟨_, ⟨i, rfl⟩, _, s.last_mem, hx⟩),
Nat.add_one_sub_one]
exact lt_of_le_of_ne (Nat.le_of_lt_succ i.2) (by simpa [last, s.inj, Fin.ext_iff] using hx)
refine ⟨Fin.castSucc (n := s.length + 1) i, ?_⟩
simp [Fin.ext_iff, Nat.mod_eq_of_lt hi]
#align composition_series.mem_erase_top_of_ne_of_mem CompositionSeries.mem_eraseLast_of_ne_of_mem
theorem mem_eraseLast {s : CompositionSeries X} {x : X} (h : 0 < s.length) :
x ∈ s.eraseLast ↔ x ≠ s.last ∧ x ∈ s := by
simp only [RelSeries.mem_def, eraseLast]
constructor
· rintro ⟨i, rfl⟩
have hi : (i : ℕ) < s.length := by
conv_rhs => rw [← Nat.add_one_sub_one s.length, Nat.succ_sub h]
exact i.2
-- porting note (#10745): was `simp [top, Fin.ext_iff, ne_of_lt hi]`.
simp [last, Fin.ext_iff, ne_of_lt hi, -Set.mem_range, Set.mem_range_self]
· intro h
exact mem_eraseLast_of_ne_of_mem h.1 h.2
#align composition_series.mem_erase_top CompositionSeries.mem_eraseLast
theorem lt_last_of_mem_eraseLast {s : CompositionSeries X} {x : X} (h : 0 < s.length)
(hx : x ∈ s.eraseLast) : x < s.last :=
lt_of_le_of_ne (le_last_of_mem ((mem_eraseLast h).1 hx).2) ((mem_eraseLast h).1 hx).1
#align composition_series.lt_top_of_mem_erase_top CompositionSeries.lt_last_of_mem_eraseLast
theorem isMaximal_eraseLast_last {s : CompositionSeries X} (h : 0 < s.length) :
IsMaximal s.eraseLast.last s.last := by
have : s.length - 1 + 1 = s.length := by
conv_rhs => rw [← Nat.add_one_sub_one s.length]; rw [Nat.succ_sub h]
rw [last_eraseLast, last]
convert s.step ⟨s.length - 1, by omega⟩; ext; simp [this]
#align composition_series.is_maximal_erase_top_top CompositionSeries.isMaximal_eraseLast_last
section FinLemmas
#noalign composition_series.append_cast_add_aux
#noalign composition_series.append_succ_cast_add_aux
#noalign composition_series.append_nat_add_aux
#noalign composition_series.append_succ_nat_add_aux
end FinLemmas
#align composition_series.append RelSeries.smash
#noalign composition_series.coe_append
#align composition_series.append_cast_add RelSeries.smash_castAdd
#align composition_series.append_succ_cast_add RelSeries.smash_succ_castAdd
#align composition_series.append_nat_add RelSeries.smash_natAdd
#align composition_series.append_succ_nat_add RelSeries.smash_succ_natAdd
#align composition_series.snoc RelSeries.snoc
#align composition_series.top_snoc RelSeries.last_snoc
#align composition_series.snoc_last RelSeries.last_snoc
#align composition_series.snoc_cast_succ RelSeries.snoc_castSucc
#align composition_series.bot_snoc RelSeries.head_snoc
#align composition_series.mem_snoc RelSeries.mem_snoc
theorem eq_snoc_eraseLast {s : CompositionSeries X} (h : 0 < s.length) :
s = snoc (eraseLast s) s.last (isMaximal_eraseLast_last h) := by
ext x
simp only [mem_snoc, mem_eraseLast h, ne_eq]
by_cases h : x = s.last <;> simp [*, s.last_mem]
#align composition_series.eq_snoc_erase_top CompositionSeries.eq_snoc_eraseLast
@[simp]
theorem snoc_eraseLast_last {s : CompositionSeries X} (h : IsMaximal s.eraseLast.last s.last) :
s.eraseLast.snoc s.last h = s :=
have h : 0 < s.length :=
Nat.pos_of_ne_zero (fun hs => ne_of_gt (lt_of_isMaximal h) <| by simp [last, Fin.ext_iff, hs])
(eq_snoc_eraseLast h).symm
#align composition_series.snoc_erase_top_top CompositionSeries.snoc_eraseLast_last
/-- Two `CompositionSeries X`, `s₁` and `s₂` are equivalent if there is a bijection
`e : Fin s₁.length ≃ Fin s₂.length` such that for any `i`,
`Iso (s₁ i) (s₁ i.succ) (s₂ (e i), s₂ (e i.succ))` -/
def Equivalent (s₁ s₂ : CompositionSeries X) : Prop :=
∃ f : Fin s₁.length ≃ Fin s₂.length,
∀ i : Fin s₁.length, Iso (s₁ (Fin.castSucc i), s₁ i.succ)
(s₂ (Fin.castSucc (f i)), s₂ (Fin.succ (f i)))
#align composition_series.equivalent CompositionSeries.Equivalent
namespace Equivalent
@[refl]
theorem refl (s : CompositionSeries X) : Equivalent s s :=
⟨Equiv.refl _, fun _ => (s.step _).iso_refl⟩
#align composition_series.equivalent.refl CompositionSeries.Equivalent.refl
@[symm]
theorem symm {s₁ s₂ : CompositionSeries X} (h : Equivalent s₁ s₂) : Equivalent s₂ s₁ :=
⟨h.choose.symm, fun i => iso_symm (by simpa using h.choose_spec (h.choose.symm i))⟩
#align composition_series.equivalent.symm CompositionSeries.Equivalent.symm
@[trans]
theorem trans {s₁ s₂ s₃ : CompositionSeries X} (h₁ : Equivalent s₁ s₂) (h₂ : Equivalent s₂ s₃) :
Equivalent s₁ s₃ :=
⟨h₁.choose.trans h₂.choose,
fun i => iso_trans (h₁.choose_spec i) (h₂.choose_spec (h₁.choose i))⟩
#align composition_series.equivalent.trans CompositionSeries.Equivalent.trans
protected theorem smash {s₁ s₂ t₁ t₂ : CompositionSeries X}
(hs : s₁.last = s₂.head) (ht : t₁.last = t₂.head)
(h₁ : Equivalent s₁ t₁) (h₂ : Equivalent s₂ t₂) :
Equivalent (smash s₁ s₂ hs) (smash t₁ t₂ ht) :=
let e : Fin (s₁.length + s₂.length) ≃ Fin (t₁.length + t₂.length) :=
calc
Fin (s₁.length + s₂.length) ≃ Sum (Fin s₁.length) (Fin s₂.length) := finSumFinEquiv.symm
_ ≃ Sum (Fin t₁.length) (Fin t₂.length) := Equiv.sumCongr h₁.choose h₂.choose
_ ≃ Fin (t₁.length + t₂.length) := finSumFinEquiv
⟨e, by
intro i
refine Fin.addCases ?_ ?_ i
· intro i
simpa [-smash_toFun, e, smash_castAdd, smash_succ_castAdd] using h₁.choose_spec i
· intro i
simpa [-smash_toFun, e, smash_natAdd, smash_succ_natAdd] using h₂.choose_spec i⟩
#align composition_series.equivalent.append CompositionSeries.Equivalent.smash
protected theorem snoc {s₁ s₂ : CompositionSeries X} {x₁ x₂ : X} {hsat₁ : IsMaximal s₁.last x₁}
{hsat₂ : IsMaximal s₂.last x₂} (hequiv : Equivalent s₁ s₂)
(hlast : Iso (s₁.last, x₁) (s₂.last, x₂)) : Equivalent (s₁.snoc x₁ hsat₁) (s₂.snoc x₂ hsat₂) :=
let e : Fin s₁.length.succ ≃ Fin s₂.length.succ :=
calc
Fin (s₁.length + 1) ≃ Option (Fin s₁.length) := finSuccEquivLast
_ ≃ Option (Fin s₂.length) := Functor.mapEquiv Option hequiv.choose
_ ≃ Fin (s₂.length + 1) := finSuccEquivLast.symm
⟨e, fun i => by
refine Fin.lastCases ?_ ?_ i
· simpa [e, apply_last] using hlast
· intro i
simpa [e, Fin.succ_castSucc] using hequiv.choose_spec i⟩
#align composition_series.equivalent.snoc CompositionSeries.Equivalent.snoc
| Mathlib/Order/JordanHolder.lean | 393 | 394 | theorem length_eq {s₁ s₂ : CompositionSeries X} (h : Equivalent s₁ s₂) : s₁.length = s₂.length := by |
simpa using Fintype.card_congr h.choose
|
/-
Copyright (c) 2024 Xavier Roblot. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Xavier Roblot
-/
import Mathlib.Algebra.Module.Zlattice.Basic
/-!
# Covolume of ℤ-lattices
Let `E` be a finite dimensional real vector space with an inner product.
Let `L` be a `ℤ`-lattice `L` defined as a discrete `AddSubgroup E` that spans `E` over `ℝ`.
## Main definitions and results
* `Zlattice.covolume`: the covolume of `L` defined as the volume of an arbitrary fundamental
domain of `L`.
* `Zlattice.covolume_eq_measure_fundamentalDomain`: the covolume of `L` does not depend on the
choice of the fundamental domain of `L`.
* `Zlattice.covolume_eq_det`: if `L` is a lattice in `ℝ^n`, then its covolume is the absolute
value of the determinant of any `ℤ`-basis of `L`.
-/
noncomputable section
namespace Zlattice
open Submodule MeasureTheory FiniteDimensional MeasureTheory Module
section General
variable (K : Type*) [NormedLinearOrderedField K] [HasSolidNorm K] [FloorRing K]
variable {E : Type*} [NormedAddCommGroup E] [NormedSpace K E] [FiniteDimensional K E]
variable [ProperSpace E] [MeasurableSpace E]
variable (L : AddSubgroup E) [DiscreteTopology L] [IsZlattice K L]
/-- The covolume of a `ℤ`-lattice is the volume of some fundamental domain; see
`Zlattice.covolume_eq_volume` for the proof that the volume does not depend on the choice of
the fundamental domain. -/
def covolume (μ : Measure E := by volume_tac) : ℝ := (addCovolume L E μ).toReal
end General
section Real
variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] [FiniteDimensional ℝ E]
variable [MeasurableSpace E] [BorelSpace E]
variable (L : AddSubgroup E) [DiscreteTopology L] [IsZlattice ℝ L]
variable (μ : Measure E := by volume_tac) [Measure.IsAddHaarMeasure μ]
theorem covolume_eq_measure_fundamentalDomain {F : Set E} (h : IsAddFundamentalDomain L F μ) :
covolume L μ = (μ F).toReal := congr_arg ENNReal.toReal (h.covolume_eq_volume μ)
theorem covolume_ne_zero : covolume L μ ≠ 0 := by
rw [covolume_eq_measure_fundamentalDomain L μ (isAddFundamentalDomain (Free.chooseBasis ℤ L) μ),
ENNReal.toReal_ne_zero]
refine ⟨Zspan.measure_fundamentalDomain_ne_zero _, ne_of_lt ?_⟩
exact Bornology.IsBounded.measure_lt_top (Zspan.fundamentalDomain_isBounded _)
theorem covolume_pos : 0 < covolume L μ :=
lt_of_le_of_ne ENNReal.toReal_nonneg (covolume_ne_zero L μ).symm
| Mathlib/Algebra/Module/Zlattice/Covolume.lean | 67 | 76 | theorem covolume_eq_det_mul_measure {ι : Type*} [Fintype ι] [DecidableEq ι] (b : Basis ι ℤ L)
(b₀ : Basis ι ℝ E) :
covolume L μ = |b₀.det ((↑) ∘ b)| * (μ (Zspan.fundamentalDomain b₀)).toReal := by |
rw [covolume_eq_measure_fundamentalDomain L μ (isAddFundamentalDomain b μ),
Zspan.measure_fundamentalDomain _ _ b₀, measure_congr
(Zspan.fundamentalDomain_ae_parallelepiped b₀ μ), ENNReal.toReal_mul, ENNReal.toReal_ofReal
(by positivity)]
congr
ext
exact b.ofZlatticeBasis_apply ℝ L _
|
/-
Copyright (c) 2023 Bulhwi Cha. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Bulhwi Cha, Mario Carneiro
-/
import Batteries.Data.Char
import Batteries.Data.List.Lemmas
import Batteries.Data.String.Basic
import Batteries.Tactic.Lint.Misc
import Batteries.Tactic.SeqFocus
namespace String
attribute [ext] ext
theorem lt_trans {s₁ s₂ s₃ : String} : s₁ < s₂ → s₂ < s₃ → s₁ < s₃ :=
List.lt_trans' (α := Char) Nat.lt_trans
(fun h1 h2 => Nat.not_lt.2 <| Nat.le_trans (Nat.not_lt.1 h2) (Nat.not_lt.1 h1))
theorem lt_antisymm {s₁ s₂ : String} (h₁ : ¬s₁ < s₂) (h₂ : ¬s₂ < s₁) : s₁ = s₂ :=
ext <| List.lt_antisymm' (α := Char)
(fun h1 h2 => Char.le_antisymm (Nat.not_lt.1 h2) (Nat.not_lt.1 h1)) h₁ h₂
instance : Batteries.TransOrd String := .compareOfLessAndEq
String.lt_irrefl String.lt_trans String.lt_antisymm
instance : Batteries.LTOrd String := .compareOfLessAndEq
String.lt_irrefl String.lt_trans String.lt_antisymm
instance : Batteries.BEqOrd String := .compareOfLessAndEq String.lt_irrefl
@[simp] theorem mk_length (s : List Char) : (String.mk s).length = s.length := rfl
attribute [simp] toList -- prefer `String.data` over `String.toList` in lemmas
private theorem add_csize_pos : 0 < i + csize c :=
Nat.add_pos_right _ (csize_pos c)
private theorem ne_add_csize_add_self : i ≠ n + csize c + i :=
Nat.ne_of_lt (Nat.lt_add_of_pos_left add_csize_pos)
private theorem ne_self_add_add_csize : i ≠ i + (n + csize c) :=
Nat.ne_of_lt (Nat.lt_add_of_pos_right add_csize_pos)
/-- The UTF-8 byte length of a list of characters. (This is intended for specification purposes.) -/
@[inline] def utf8Len : List Char → Nat := utf8ByteSize.go
@[simp] theorem utf8ByteSize.go_eq : utf8ByteSize.go = utf8Len := rfl
@[simp] theorem utf8ByteSize_mk (cs) : utf8ByteSize ⟨cs⟩ = utf8Len cs := rfl
@[simp] theorem utf8Len_nil : utf8Len [] = 0 := rfl
@[simp] theorem utf8Len_cons (c cs) : utf8Len (c :: cs) = utf8Len cs + csize c := rfl
@[simp] theorem utf8Len_append (cs₁ cs₂) : utf8Len (cs₁ ++ cs₂) = utf8Len cs₁ + utf8Len cs₂ := by
induction cs₁ <;> simp [*, Nat.add_right_comm]
@[simp] theorem utf8Len_reverseAux (cs₁ cs₂) :
utf8Len (cs₁.reverseAux cs₂) = utf8Len cs₁ + utf8Len cs₂ := by
induction cs₁ generalizing cs₂ <;> simp [*, ← Nat.add_assoc, Nat.add_right_comm]
@[simp] theorem utf8Len_reverse (cs) : utf8Len cs.reverse = utf8Len cs := utf8Len_reverseAux ..
@[simp] theorem utf8Len_eq_zero : utf8Len l = 0 ↔ l = [] := by
cases l <;> simp [Nat.ne_of_gt add_csize_pos]
section
open List
theorem utf8Len_le_of_sublist : ∀ {cs₁ cs₂}, cs₁ <+ cs₂ → utf8Len cs₁ ≤ utf8Len cs₂
| _, _, .slnil => Nat.le_refl _
| _, _, .cons _ h => Nat.le_trans (utf8Len_le_of_sublist h) (Nat.le_add_right ..)
| _, _, .cons₂ _ h => Nat.add_le_add_right (utf8Len_le_of_sublist h) _
theorem utf8Len_le_of_infix (h : cs₁ <:+: cs₂) : utf8Len cs₁ ≤ utf8Len cs₂ :=
utf8Len_le_of_sublist h.sublist
theorem utf8Len_le_of_suffix (h : cs₁ <:+ cs₂) : utf8Len cs₁ ≤ utf8Len cs₂ :=
utf8Len_le_of_sublist h.sublist
theorem utf8Len_le_of_prefix (h : cs₁ <+: cs₂) : utf8Len cs₁ ≤ utf8Len cs₂ :=
utf8Len_le_of_sublist h.sublist
end
@[simp] theorem endPos_eq (cs : List Char) : endPos ⟨cs⟩ = ⟨utf8Len cs⟩ := rfl
namespace Pos
attribute [ext] ext
theorem lt_addChar (p : Pos) (c : Char) : p < p + c := Nat.lt_add_of_pos_right (csize_pos _)
private theorem zero_ne_addChar {i : Pos} {c : Char} : 0 ≠ i + c :=
ne_of_lt add_csize_pos
/-- A string position is valid if it is equal to the UTF-8 length of an initial substring of `s`. -/
def Valid (s : String) (p : Pos) : Prop :=
∃ cs cs', cs ++ cs' = s.1 ∧ p.1 = utf8Len cs
@[simp] theorem valid_zero : Valid s 0 := ⟨[], s.1, rfl, rfl⟩
@[simp] theorem valid_endPos : Valid s (endPos s) := ⟨s.1, [], by simp, rfl⟩
theorem Valid.mk (cs cs' : List Char) : Valid ⟨cs ++ cs'⟩ ⟨utf8Len cs⟩ := ⟨cs, cs', rfl, rfl⟩
theorem Valid.le_endPos : ∀ {s p}, Valid s p → p ≤ endPos s
| ⟨_⟩, ⟨_⟩, ⟨cs, cs', rfl, rfl⟩ => by simp [Nat.le_add_right]
end Pos
theorem endPos_eq_zero : ∀ (s : String), endPos s = 0 ↔ s = ""
| ⟨_⟩ => Pos.ext_iff.trans <| utf8Len_eq_zero.trans ext_iff.symm
theorem isEmpty_iff (s : String) : isEmpty s ↔ s = "" :=
(beq_iff_eq ..).trans (endPos_eq_zero _)
/--
Induction along the valid positions in a list of characters.
(This definition is intended only for specification purposes.)
-/
def utf8InductionOn {motive : List Char → Pos → Sort u}
(s : List Char) (i p : Pos)
(nil : ∀ i, motive [] i)
(eq : ∀ c cs, motive (c :: cs) p)
(ind : ∀ (c : Char) cs i, i ≠ p → motive cs (i + c) → motive (c :: cs) i) :
motive s i :=
match s with
| [] => nil i
| c::cs =>
if h : i = p then
h ▸ eq c cs
else ind c cs i h (utf8InductionOn cs (i + c) p nil eq ind)
theorem utf8GetAux_add_right_cancel (s : List Char) (i p n : Nat) :
utf8GetAux s ⟨i + n⟩ ⟨p + n⟩ = utf8GetAux s ⟨i⟩ ⟨p⟩ := by
apply utf8InductionOn s ⟨i⟩ ⟨p⟩ (motive := fun s i =>
utf8GetAux s ⟨i.byteIdx + n⟩ ⟨p + n⟩ = utf8GetAux s i ⟨p⟩) <;>
simp [utf8GetAux]
intro c cs ⟨i⟩ h ih
simp [Pos.ext_iff, Pos.addChar_eq] at h ⊢
simp [Nat.add_right_cancel_iff, h]
rw [Nat.add_right_comm]
exact ih
theorem utf8GetAux_addChar_right_cancel (s : List Char) (i p : Pos) (c : Char) :
utf8GetAux s (i + c) (p + c) = utf8GetAux s i p := utf8GetAux_add_right_cancel ..
theorem utf8GetAux_of_valid (cs cs' : List Char) {i p : Nat} (hp : i + utf8Len cs = p) :
utf8GetAux (cs ++ cs') ⟨i⟩ ⟨p⟩ = cs'.headD default := by
match cs, cs' with
| [], [] => rfl
| [], c::cs' => simp [← hp, utf8GetAux]
| c::cs, cs' =>
simp [utf8GetAux, -List.headD_eq_head?]; rw [if_neg]
case hnc => simp [← hp, Pos.ext_iff]; exact ne_self_add_add_csize
refine utf8GetAux_of_valid cs cs' ?_
simpa [Nat.add_assoc, Nat.add_comm] using hp
theorem get_of_valid (cs cs' : List Char) : get ⟨cs ++ cs'⟩ ⟨utf8Len cs⟩ = cs'.headD default :=
utf8GetAux_of_valid _ _ (Nat.zero_add _)
theorem get_cons_addChar (c : Char) (cs : List Char) (i : Pos) :
get ⟨c :: cs⟩ (i + c) = get ⟨cs⟩ i := by
simp [get, utf8GetAux, Pos.zero_ne_addChar, utf8GetAux_addChar_right_cancel]
theorem utf8GetAux?_of_valid (cs cs' : List Char) {i p : Nat} (hp : i + utf8Len cs = p) :
utf8GetAux? (cs ++ cs') ⟨i⟩ ⟨p⟩ = cs'.head? := by
match cs, cs' with
| [], [] => rfl
| [], c::cs' => simp [← hp, utf8GetAux?]
| c::cs, cs' =>
simp [utf8GetAux?]; rw [if_neg]
case hnc => simp [← hp, Pos.ext_iff]; exact ne_self_add_add_csize
refine utf8GetAux?_of_valid cs cs' ?_
simpa [Nat.add_assoc, Nat.add_comm] using hp
theorem get?_of_valid (cs cs' : List Char) : get? ⟨cs ++ cs'⟩ ⟨utf8Len cs⟩ = cs'.head? :=
utf8GetAux?_of_valid _ _ (Nat.zero_add _)
theorem utf8SetAux_of_valid (c' : Char) (cs cs' : List Char) {i p : Nat} (hp : i + utf8Len cs = p) :
utf8SetAux c' (cs ++ cs') ⟨i⟩ ⟨p⟩ = cs ++ cs'.modifyHead fun _ => c' := by
match cs, cs' with
| [], [] => rfl
| [], c::cs' => simp [← hp, utf8SetAux]
| c::cs, cs' =>
simp [utf8SetAux]; rw [if_neg]
case hnc => simp [← hp, Pos.ext_iff]; exact ne_self_add_add_csize
refine congrArg (c::·) (utf8SetAux_of_valid c' cs cs' ?_)
simpa [Nat.add_assoc, Nat.add_comm] using hp
theorem set_of_valid (cs cs' : List Char) (c' : Char) :
set ⟨cs ++ cs'⟩ ⟨utf8Len cs⟩ c' = ⟨cs ++ cs'.modifyHead fun _ => c'⟩ :=
ext (utf8SetAux_of_valid _ _ _ (Nat.zero_add _))
theorem modify_of_valid (cs cs' : List Char) :
modify ⟨cs ++ cs'⟩ ⟨utf8Len cs⟩ f = ⟨cs ++ cs'.modifyHead f⟩ := by
rw [modify, set_of_valid, get_of_valid]; cases cs' <;> rfl
theorem next_of_valid' (cs cs' : List Char) :
next ⟨cs ++ cs'⟩ ⟨utf8Len cs⟩ = ⟨utf8Len cs + csize (cs'.headD default)⟩ := by
simp only [next, get_of_valid]; rfl
theorem next_of_valid (cs : List Char) (c : Char) (cs' : List Char) :
next ⟨cs ++ c :: cs'⟩ ⟨utf8Len cs⟩ = ⟨utf8Len cs + csize c⟩ := next_of_valid' ..
@[simp] theorem atEnd_iff (s : String) (p : Pos) : atEnd s p ↔ s.endPos ≤ p :=
decide_eq_true_iff _
theorem valid_next {p : Pos} (h : p.Valid s) (h₂ : p < s.endPos) : (next s p).Valid s := by
match s, p, h with
| ⟨_⟩, ⟨_⟩, ⟨cs, [], rfl, rfl⟩ => simp at h₂
| ⟨_⟩, ⟨_⟩, ⟨cs, c::cs', rfl, rfl⟩ =>
rw [utf8ByteSize.go_eq, next_of_valid]
simpa using Pos.Valid.mk (cs ++ [c]) cs'
theorem utf8PrevAux_of_valid {cs cs' : List Char} {c : Char} {i p : Nat}
(hp : i + (utf8Len cs + csize c) = p) :
utf8PrevAux (cs ++ c :: cs') ⟨i⟩ ⟨p⟩ = ⟨i + utf8Len cs⟩ := by
match cs with
| [] => simp [utf8PrevAux, ← hp, Pos.addChar_eq]
| c'::cs =>
simp [utf8PrevAux, Pos.addChar_eq, ← hp]; rw [if_neg]
case hnc =>
simp [Pos.ext_iff]; rw [Nat.add_right_comm, Nat.add_left_comm]; apply ne_add_csize_add_self
refine (utf8PrevAux_of_valid (by simp [Nat.add_assoc, Nat.add_left_comm])).trans ?_
simp [Nat.add_assoc, Nat.add_comm]
theorem prev_of_valid (cs : List Char) (c : Char) (cs' : List Char) :
prev ⟨cs ++ c :: cs'⟩ ⟨utf8Len cs + csize c⟩ = ⟨utf8Len cs⟩ := by
simp [prev]; refine (if_neg (Pos.ne_of_gt add_csize_pos)).trans ?_
rw [utf8PrevAux_of_valid] <;> simp
theorem prev_of_valid' (cs cs' : List Char) :
prev ⟨cs ++ cs'⟩ ⟨utf8Len cs⟩ = ⟨utf8Len cs.dropLast⟩ := by
match cs, cs.eq_nil_or_concat with
| _, .inl rfl => rfl
| _, .inr ⟨cs, c, rfl⟩ => simp [prev_of_valid]
| .lake/packages/batteries/Batteries/Data/String/Lemmas.lean | 239 | 240 | theorem front_eq (s : String) : front s = s.1.headD default := by |
unfold front; exact get_of_valid [] s.1
|
/-
Copyright (c) 2018 Patrick Massot. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Patrick Massot, Johannes Hölzl
-/
import Mathlib.Algebra.Algebra.NonUnitalSubalgebra
import Mathlib.Algebra.Algebra.Subalgebra.Basic
import Mathlib.Algebra.Order.Ring.Finset
import Mathlib.Analysis.Normed.Group.Basic
import Mathlib.GroupTheory.OrderOfElement
import Mathlib.Topology.Instances.NNReal
import Mathlib.Topology.MetricSpace.DilationEquiv
#align_import analysis.normed.field.basic from "leanprover-community/mathlib"@"f06058e64b7e8397234455038f3f8aec83aaba5a"
/-!
# Normed fields
In this file we define (semi)normed rings and fields. We also prove some theorems about these
definitions.
-/
variable {α : Type*} {β : Type*} {γ : Type*} {ι : Type*}
open Filter Metric Bornology
open scoped Topology NNReal ENNReal uniformity Pointwise
/-- A non-unital seminormed ring is a not-necessarily-unital ring
endowed with a seminorm which satisfies the inequality `‖x y‖ ≤ ‖x‖ ‖y‖`. -/
class NonUnitalSeminormedRing (α : Type*) extends Norm α, NonUnitalRing α,
PseudoMetricSpace α where
/-- The distance is induced by the norm. -/
dist_eq : ∀ x y, dist x y = norm (x - y)
/-- The norm is submultiplicative. -/
norm_mul : ∀ a b, norm (a * b) ≤ norm a * norm b
#align non_unital_semi_normed_ring NonUnitalSeminormedRing
/-- A seminormed ring is a ring endowed with a seminorm which satisfies the inequality
`‖x y‖ ≤ ‖x‖ ‖y‖`. -/
class SeminormedRing (α : Type*) extends Norm α, Ring α, PseudoMetricSpace α where
/-- The distance is induced by the norm. -/
dist_eq : ∀ x y, dist x y = norm (x - y)
/-- The norm is submultiplicative. -/
norm_mul : ∀ a b, norm (a * b) ≤ norm a * norm b
#align semi_normed_ring SeminormedRing
-- see Note [lower instance priority]
/-- A seminormed ring is a non-unital seminormed ring. -/
instance (priority := 100) SeminormedRing.toNonUnitalSeminormedRing [β : SeminormedRing α] :
NonUnitalSeminormedRing α :=
{ β with }
#align semi_normed_ring.to_non_unital_semi_normed_ring SeminormedRing.toNonUnitalSeminormedRing
/-- A non-unital normed ring is a not-necessarily-unital ring
endowed with a norm which satisfies the inequality `‖x y‖ ≤ ‖x‖ ‖y‖`. -/
class NonUnitalNormedRing (α : Type*) extends Norm α, NonUnitalRing α, MetricSpace α where
/-- The distance is induced by the norm. -/
dist_eq : ∀ x y, dist x y = norm (x - y)
/-- The norm is submultiplicative. -/
norm_mul : ∀ a b, norm (a * b) ≤ norm a * norm b
#align non_unital_normed_ring NonUnitalNormedRing
-- see Note [lower instance priority]
/-- A non-unital normed ring is a non-unital seminormed ring. -/
instance (priority := 100) NonUnitalNormedRing.toNonUnitalSeminormedRing
[β : NonUnitalNormedRing α] : NonUnitalSeminormedRing α :=
{ β with }
#align non_unital_normed_ring.to_non_unital_semi_normed_ring NonUnitalNormedRing.toNonUnitalSeminormedRing
/-- A normed ring is a ring endowed with a norm which satisfies the inequality `‖x y‖ ≤ ‖x‖ ‖y‖`. -/
class NormedRing (α : Type*) extends Norm α, Ring α, MetricSpace α where
/-- The distance is induced by the norm. -/
dist_eq : ∀ x y, dist x y = norm (x - y)
/-- The norm is submultiplicative. -/
norm_mul : ∀ a b, norm (a * b) ≤ norm a * norm b
#align normed_ring NormedRing
/-- A normed division ring is a division ring endowed with a seminorm which satisfies the equality
`‖x y‖ = ‖x‖ ‖y‖`. -/
class NormedDivisionRing (α : Type*) extends Norm α, DivisionRing α, MetricSpace α where
/-- The distance is induced by the norm. -/
dist_eq : ∀ x y, dist x y = norm (x - y)
/-- The norm is multiplicative. -/
norm_mul' : ∀ a b, norm (a * b) = norm a * norm b
#align normed_division_ring NormedDivisionRing
-- see Note [lower instance priority]
/-- A normed division ring is a normed ring. -/
instance (priority := 100) NormedDivisionRing.toNormedRing [β : NormedDivisionRing α] :
NormedRing α :=
{ β with norm_mul := fun a b => (NormedDivisionRing.norm_mul' a b).le }
#align normed_division_ring.to_normed_ring NormedDivisionRing.toNormedRing
-- see Note [lower instance priority]
/-- A normed ring is a seminormed ring. -/
instance (priority := 100) NormedRing.toSeminormedRing [β : NormedRing α] : SeminormedRing α :=
{ β with }
#align normed_ring.to_semi_normed_ring NormedRing.toSeminormedRing
-- see Note [lower instance priority]
/-- A normed ring is a non-unital normed ring. -/
instance (priority := 100) NormedRing.toNonUnitalNormedRing [β : NormedRing α] :
NonUnitalNormedRing α :=
{ β with }
#align normed_ring.to_non_unital_normed_ring NormedRing.toNonUnitalNormedRing
/-- A non-unital seminormed commutative ring is a non-unital commutative ring endowed with a
seminorm which satisfies the inequality `‖x y‖ ≤ ‖x‖ ‖y‖`. -/
class NonUnitalSeminormedCommRing (α : Type*) extends NonUnitalSeminormedRing α where
/-- Multiplication is commutative. -/
mul_comm : ∀ x y : α, x * y = y * x
/-- A non-unital normed commutative ring is a non-unital commutative ring endowed with a
norm which satisfies the inequality `‖x y‖ ≤ ‖x‖ ‖y‖`. -/
class NonUnitalNormedCommRing (α : Type*) extends NonUnitalNormedRing α where
/-- Multiplication is commutative. -/
mul_comm : ∀ x y : α, x * y = y * x
-- see Note [lower instance priority]
/-- A non-unital normed commutative ring is a non-unital seminormed commutative ring. -/
instance (priority := 100) NonUnitalNormedCommRing.toNonUnitalSeminormedCommRing
[β : NonUnitalNormedCommRing α] : NonUnitalSeminormedCommRing α :=
{ β with }
/-- A seminormed commutative ring is a commutative ring endowed with a seminorm which satisfies
the inequality `‖x y‖ ≤ ‖x‖ ‖y‖`. -/
class SeminormedCommRing (α : Type*) extends SeminormedRing α where
/-- Multiplication is commutative. -/
mul_comm : ∀ x y : α, x * y = y * x
#align semi_normed_comm_ring SeminormedCommRing
/-- A normed commutative ring is a commutative ring endowed with a norm which satisfies
the inequality `‖x y‖ ≤ ‖x‖ ‖y‖`. -/
class NormedCommRing (α : Type*) extends NormedRing α where
/-- Multiplication is commutative. -/
mul_comm : ∀ x y : α, x * y = y * x
#align normed_comm_ring NormedCommRing
-- see Note [lower instance priority]
/-- A seminormed commutative ring is a non-unital seminormed commutative ring. -/
instance (priority := 100) SeminormedCommRing.toNonUnitalSeminormedCommRing
[β : SeminormedCommRing α] : NonUnitalSeminormedCommRing α :=
{ β with }
-- see Note [lower instance priority]
/-- A normed commutative ring is a non-unital normed commutative ring. -/
instance (priority := 100) NormedCommRing.toNonUnitalNormedCommRing
[β : NormedCommRing α] : NonUnitalNormedCommRing α :=
{ β with }
-- see Note [lower instance priority]
/-- A normed commutative ring is a seminormed commutative ring. -/
instance (priority := 100) NormedCommRing.toSeminormedCommRing [β : NormedCommRing α] :
SeminormedCommRing α :=
{ β with }
#align normed_comm_ring.to_semi_normed_comm_ring NormedCommRing.toSeminormedCommRing
instance PUnit.normedCommRing : NormedCommRing PUnit :=
{ PUnit.normedAddCommGroup, PUnit.commRing with
norm_mul := fun _ _ => by simp }
/-- A mixin class with the axiom `‖1‖ = 1`. Many `NormedRing`s and all `NormedField`s satisfy this
axiom. -/
class NormOneClass (α : Type*) [Norm α] [One α] : Prop where
/-- The norm of the multiplicative identity is 1. -/
norm_one : ‖(1 : α)‖ = 1
#align norm_one_class NormOneClass
export NormOneClass (norm_one)
attribute [simp] norm_one
@[simp]
theorem nnnorm_one [SeminormedAddCommGroup α] [One α] [NormOneClass α] : ‖(1 : α)‖₊ = 1 :=
NNReal.eq norm_one
#align nnnorm_one nnnorm_one
theorem NormOneClass.nontrivial (α : Type*) [SeminormedAddCommGroup α] [One α] [NormOneClass α] :
Nontrivial α :=
nontrivial_of_ne 0 1 <| ne_of_apply_ne norm <| by simp
#align norm_one_class.nontrivial NormOneClass.nontrivial
-- see Note [lower instance priority]
instance (priority := 100) NonUnitalSeminormedCommRing.toNonUnitalCommRing
[β : NonUnitalSeminormedCommRing α] : NonUnitalCommRing α :=
{ β with }
-- see Note [lower instance priority]
instance (priority := 100) SeminormedCommRing.toCommRing [β : SeminormedCommRing α] : CommRing α :=
{ β with }
#align semi_normed_comm_ring.to_comm_ring SeminormedCommRing.toCommRing
-- see Note [lower instance priority]
instance (priority := 100) NonUnitalNormedRing.toNormedAddCommGroup [β : NonUnitalNormedRing α] :
NormedAddCommGroup α :=
{ β with }
#align non_unital_normed_ring.to_normed_add_comm_group NonUnitalNormedRing.toNormedAddCommGroup
-- see Note [lower instance priority]
instance (priority := 100) NonUnitalSeminormedRing.toSeminormedAddCommGroup
[NonUnitalSeminormedRing α] : SeminormedAddCommGroup α :=
{ ‹NonUnitalSeminormedRing α› with }
#align non_unital_semi_normed_ring.to_seminormed_add_comm_group NonUnitalSeminormedRing.toSeminormedAddCommGroup
instance ULift.normOneClass [SeminormedAddCommGroup α] [One α] [NormOneClass α] :
NormOneClass (ULift α) :=
⟨by simp [ULift.norm_def]⟩
instance Prod.normOneClass [SeminormedAddCommGroup α] [One α] [NormOneClass α]
[SeminormedAddCommGroup β] [One β] [NormOneClass β] : NormOneClass (α × β) :=
⟨by simp [Prod.norm_def]⟩
#align prod.norm_one_class Prod.normOneClass
instance Pi.normOneClass {ι : Type*} {α : ι → Type*} [Nonempty ι] [Fintype ι]
[∀ i, SeminormedAddCommGroup (α i)] [∀ i, One (α i)] [∀ i, NormOneClass (α i)] :
NormOneClass (∀ i, α i) :=
⟨by simp [Pi.norm_def]; exact Finset.sup_const Finset.univ_nonempty 1⟩
#align pi.norm_one_class Pi.normOneClass
instance MulOpposite.normOneClass [SeminormedAddCommGroup α] [One α] [NormOneClass α] :
NormOneClass αᵐᵒᵖ :=
⟨@norm_one α _ _ _⟩
#align mul_opposite.norm_one_class MulOpposite.normOneClass
section NonUnitalSeminormedRing
variable [NonUnitalSeminormedRing α]
theorem norm_mul_le (a b : α) : ‖a * b‖ ≤ ‖a‖ * ‖b‖ :=
NonUnitalSeminormedRing.norm_mul _ _
#align norm_mul_le norm_mul_le
theorem nnnorm_mul_le (a b : α) : ‖a * b‖₊ ≤ ‖a‖₊ * ‖b‖₊ := by
simpa only [← norm_toNNReal, ← Real.toNNReal_mul (norm_nonneg _)] using
Real.toNNReal_mono (norm_mul_le _ _)
#align nnnorm_mul_le nnnorm_mul_le
theorem one_le_norm_one (β) [NormedRing β] [Nontrivial β] : 1 ≤ ‖(1 : β)‖ :=
(le_mul_iff_one_le_left <| norm_pos_iff.mpr (one_ne_zero : (1 : β) ≠ 0)).mp
(by simpa only [mul_one] using norm_mul_le (1 : β) 1)
#align one_le_norm_one one_le_norm_one
theorem one_le_nnnorm_one (β) [NormedRing β] [Nontrivial β] : 1 ≤ ‖(1 : β)‖₊ :=
one_le_norm_one β
#align one_le_nnnorm_one one_le_nnnorm_one
theorem Filter.Tendsto.zero_mul_isBoundedUnder_le {f g : ι → α} {l : Filter ι}
(hf : Tendsto f l (𝓝 0)) (hg : IsBoundedUnder (· ≤ ·) l ((‖·‖) ∘ g)) :
Tendsto (fun x => f x * g x) l (𝓝 0) :=
hf.op_zero_isBoundedUnder_le hg (· * ·) norm_mul_le
#align filter.tendsto.zero_mul_is_bounded_under_le Filter.Tendsto.zero_mul_isBoundedUnder_le
theorem Filter.isBoundedUnder_le_mul_tendsto_zero {f g : ι → α} {l : Filter ι}
(hf : IsBoundedUnder (· ≤ ·) l (norm ∘ f)) (hg : Tendsto g l (𝓝 0)) :
Tendsto (fun x => f x * g x) l (𝓝 0) :=
hg.op_zero_isBoundedUnder_le hf (flip (· * ·)) fun x y =>
(norm_mul_le y x).trans_eq (mul_comm _ _)
#align filter.is_bounded_under_le.mul_tendsto_zero Filter.isBoundedUnder_le_mul_tendsto_zero
/-- In a seminormed ring, the left-multiplication `AddMonoidHom` is bounded. -/
theorem mulLeft_bound (x : α) : ∀ y : α, ‖AddMonoidHom.mulLeft x y‖ ≤ ‖x‖ * ‖y‖ :=
norm_mul_le x
#align mul_left_bound mulLeft_bound
/-- In a seminormed ring, the right-multiplication `AddMonoidHom` is bounded. -/
theorem mulRight_bound (x : α) : ∀ y : α, ‖AddMonoidHom.mulRight x y‖ ≤ ‖x‖ * ‖y‖ := fun y => by
rw [mul_comm]
exact norm_mul_le y x
#align mul_right_bound mulRight_bound
/-- A non-unital subalgebra of a non-unital seminormed ring is also a non-unital seminormed ring,
with the restriction of the norm. -/
instance NonUnitalSubalgebra.nonUnitalSeminormedRing {𝕜 : Type*} [CommRing 𝕜] {E : Type*}
[NonUnitalSeminormedRing E] [Module 𝕜 E] (s : NonUnitalSubalgebra 𝕜 E) :
NonUnitalSeminormedRing s :=
{ s.toSubmodule.seminormedAddCommGroup, s.toNonUnitalRing with
norm_mul := fun a b => norm_mul_le a.1 b.1 }
/-- A non-unital subalgebra of a non-unital normed ring is also a non-unital normed ring, with the
restriction of the norm. -/
instance NonUnitalSubalgebra.nonUnitalNormedRing {𝕜 : Type*} [CommRing 𝕜] {E : Type*}
[NonUnitalNormedRing E] [Module 𝕜 E] (s : NonUnitalSubalgebra 𝕜 E) : NonUnitalNormedRing s :=
{ s.nonUnitalSeminormedRing with
eq_of_dist_eq_zero := eq_of_dist_eq_zero }
instance ULift.nonUnitalSeminormedRing : NonUnitalSeminormedRing (ULift α) :=
{ ULift.seminormedAddCommGroup, ULift.nonUnitalRing with
norm_mul := fun x y => (norm_mul_le x.down y.down : _) }
/-- Non-unital seminormed ring structure on the product of two non-unital seminormed rings,
using the sup norm. -/
instance Prod.nonUnitalSeminormedRing [NonUnitalSeminormedRing β] :
NonUnitalSeminormedRing (α × β) :=
{ seminormedAddCommGroup, instNonUnitalRing with
norm_mul := fun x y =>
calc
‖x * y‖ = ‖(x.1 * y.1, x.2 * y.2)‖ := rfl
_ = max ‖x.1 * y.1‖ ‖x.2 * y.2‖ := rfl
_ ≤ max (‖x.1‖ * ‖y.1‖) (‖x.2‖ * ‖y.2‖) :=
(max_le_max (norm_mul_le x.1 y.1) (norm_mul_le x.2 y.2))
_ = max (‖x.1‖ * ‖y.1‖) (‖y.2‖ * ‖x.2‖) := by simp [mul_comm]
_ ≤ max ‖x.1‖ ‖x.2‖ * max ‖y.2‖ ‖y.1‖ := by
apply max_mul_mul_le_max_mul_max <;> simp [norm_nonneg]
_ = max ‖x.1‖ ‖x.2‖ * max ‖y.1‖ ‖y.2‖ := by simp [max_comm]
_ = ‖x‖ * ‖y‖ := rfl
}
#align prod.non_unital_semi_normed_ring Prod.nonUnitalSeminormedRing
/-- Non-unital seminormed ring structure on the product of finitely many non-unital seminormed
rings, using the sup norm. -/
instance Pi.nonUnitalSeminormedRing {π : ι → Type*} [Fintype ι]
[∀ i, NonUnitalSeminormedRing (π i)] : NonUnitalSeminormedRing (∀ i, π i) :=
{ Pi.seminormedAddCommGroup, Pi.nonUnitalRing with
norm_mul := fun x y =>
NNReal.coe_mono <|
calc
(Finset.univ.sup fun i => ‖x i * y i‖₊) ≤
Finset.univ.sup ((fun i => ‖x i‖₊) * fun i => ‖y i‖₊) :=
Finset.sup_mono_fun fun _ _ => norm_mul_le _ _
_ ≤ (Finset.univ.sup fun i => ‖x i‖₊) * Finset.univ.sup fun i => ‖y i‖₊ :=
Finset.sup_mul_le_mul_sup_of_nonneg _ (fun _ _ => zero_le _) fun _ _ => zero_le _
}
#align pi.non_unital_semi_normed_ring Pi.nonUnitalSeminormedRing
instance MulOpposite.instNonUnitalSeminormedRing : NonUnitalSeminormedRing αᵐᵒᵖ where
__ := instNonUnitalRing
__ := instSeminormedAddCommGroup
norm_mul := MulOpposite.rec' fun x ↦ MulOpposite.rec' fun y ↦
(norm_mul_le y x).trans_eq (mul_comm _ _)
#align mul_opposite.non_unital_semi_normed_ring MulOpposite.instNonUnitalSeminormedRing
end NonUnitalSeminormedRing
section SeminormedRing
variable [SeminormedRing α]
/-- A subalgebra of a seminormed ring is also a seminormed ring, with the restriction of the
norm. -/
instance Subalgebra.seminormedRing {𝕜 : Type*} [CommRing 𝕜] {E : Type*} [SeminormedRing E]
[Algebra 𝕜 E] (s : Subalgebra 𝕜 E) : SeminormedRing s :=
{ s.toSubmodule.seminormedAddCommGroup, s.toRing with
norm_mul := fun a b => norm_mul_le a.1 b.1 }
#align subalgebra.semi_normed_ring Subalgebra.seminormedRing
/-- A subalgebra of a normed ring is also a normed ring, with the restriction of the norm. -/
instance Subalgebra.normedRing {𝕜 : Type*} [CommRing 𝕜] {E : Type*} [NormedRing E]
[Algebra 𝕜 E] (s : Subalgebra 𝕜 E) : NormedRing s :=
{ s.seminormedRing with
eq_of_dist_eq_zero := eq_of_dist_eq_zero }
#align subalgebra.normed_ring Subalgebra.normedRing
theorem Nat.norm_cast_le : ∀ n : ℕ, ‖(n : α)‖ ≤ n * ‖(1 : α)‖
| 0 => by simp
| n + 1 => by
rw [n.cast_succ, n.cast_succ, add_mul, one_mul]
exact norm_add_le_of_le (Nat.norm_cast_le n) le_rfl
#align nat.norm_cast_le Nat.norm_cast_le
theorem List.norm_prod_le' : ∀ {l : List α}, l ≠ [] → ‖l.prod‖ ≤ (l.map norm).prod
| [], h => (h rfl).elim
| [a], _ => by simp
| a::b::l, _ => by
rw [List.map_cons, List.prod_cons, @List.prod_cons _ _ _ ‖a‖]
refine le_trans (norm_mul_le _ _) (mul_le_mul_of_nonneg_left ?_ (norm_nonneg _))
exact List.norm_prod_le' (List.cons_ne_nil b l)
#align list.norm_prod_le' List.norm_prod_le'
theorem List.nnnorm_prod_le' {l : List α} (hl : l ≠ []) : ‖l.prod‖₊ ≤ (l.map nnnorm).prod :=
(List.norm_prod_le' hl).trans_eq <| by simp [NNReal.coe_list_prod, List.map_map]
#align list.nnnorm_prod_le' List.nnnorm_prod_le'
theorem List.norm_prod_le [NormOneClass α] : ∀ l : List α, ‖l.prod‖ ≤ (l.map norm).prod
| [] => by simp
| a::l => List.norm_prod_le' (List.cons_ne_nil a l)
#align list.norm_prod_le List.norm_prod_le
theorem List.nnnorm_prod_le [NormOneClass α] (l : List α) : ‖l.prod‖₊ ≤ (l.map nnnorm).prod :=
l.norm_prod_le.trans_eq <| by simp [NNReal.coe_list_prod, List.map_map]
#align list.nnnorm_prod_le List.nnnorm_prod_le
theorem Finset.norm_prod_le' {α : Type*} [NormedCommRing α] (s : Finset ι) (hs : s.Nonempty)
(f : ι → α) : ‖∏ i ∈ s, f i‖ ≤ ∏ i ∈ s, ‖f i‖ := by
rcases s with ⟨⟨l⟩, hl⟩
have : l.map f ≠ [] := by simpa using hs
simpa using List.norm_prod_le' this
#align finset.norm_prod_le' Finset.norm_prod_le'
theorem Finset.nnnorm_prod_le' {α : Type*} [NormedCommRing α] (s : Finset ι) (hs : s.Nonempty)
(f : ι → α) : ‖∏ i ∈ s, f i‖₊ ≤ ∏ i ∈ s, ‖f i‖₊ :=
(s.norm_prod_le' hs f).trans_eq <| by simp [NNReal.coe_prod]
#align finset.nnnorm_prod_le' Finset.nnnorm_prod_le'
theorem Finset.norm_prod_le {α : Type*} [NormedCommRing α] [NormOneClass α] (s : Finset ι)
(f : ι → α) : ‖∏ i ∈ s, f i‖ ≤ ∏ i ∈ s, ‖f i‖ := by
rcases s with ⟨⟨l⟩, hl⟩
simpa using (l.map f).norm_prod_le
#align finset.norm_prod_le Finset.norm_prod_le
theorem Finset.nnnorm_prod_le {α : Type*} [NormedCommRing α] [NormOneClass α] (s : Finset ι)
(f : ι → α) : ‖∏ i ∈ s, f i‖₊ ≤ ∏ i ∈ s, ‖f i‖₊ :=
(s.norm_prod_le f).trans_eq <| by simp [NNReal.coe_prod]
#align finset.nnnorm_prod_le Finset.nnnorm_prod_le
/-- If `α` is a seminormed ring, then `‖a ^ n‖₊ ≤ ‖a‖₊ ^ n` for `n > 0`.
See also `nnnorm_pow_le`. -/
theorem nnnorm_pow_le' (a : α) : ∀ {n : ℕ}, 0 < n → ‖a ^ n‖₊ ≤ ‖a‖₊ ^ n
| 1, _ => by simp only [pow_one, le_rfl]
| n + 2, _ => by
simpa only [pow_succ' _ (n + 1)] using
le_trans (nnnorm_mul_le _ _) (mul_le_mul_left' (nnnorm_pow_le' a n.succ_pos) _)
#align nnnorm_pow_le' nnnorm_pow_le'
/-- If `α` is a seminormed ring with `‖1‖₊ = 1`, then `‖a ^ n‖₊ ≤ ‖a‖₊ ^ n`.
See also `nnnorm_pow_le'`. -/
theorem nnnorm_pow_le [NormOneClass α] (a : α) (n : ℕ) : ‖a ^ n‖₊ ≤ ‖a‖₊ ^ n :=
Nat.recOn n (by simp only [Nat.zero_eq, pow_zero, nnnorm_one, le_rfl])
fun k _hk => nnnorm_pow_le' a k.succ_pos
#align nnnorm_pow_le nnnorm_pow_le
/-- If `α` is a seminormed ring, then `‖a ^ n‖ ≤ ‖a‖ ^ n` for `n > 0`. See also `norm_pow_le`. -/
theorem norm_pow_le' (a : α) {n : ℕ} (h : 0 < n) : ‖a ^ n‖ ≤ ‖a‖ ^ n := by
simpa only [NNReal.coe_pow, coe_nnnorm] using NNReal.coe_mono (nnnorm_pow_le' a h)
#align norm_pow_le' norm_pow_le'
/-- If `α` is a seminormed ring with `‖1‖ = 1`, then `‖a ^ n‖ ≤ ‖a‖ ^ n`.
See also `norm_pow_le'`. -/
theorem norm_pow_le [NormOneClass α] (a : α) (n : ℕ) : ‖a ^ n‖ ≤ ‖a‖ ^ n :=
Nat.recOn n (by simp only [Nat.zero_eq, pow_zero, norm_one, le_rfl])
fun n _hn => norm_pow_le' a n.succ_pos
#align norm_pow_le norm_pow_le
theorem eventually_norm_pow_le (a : α) : ∀ᶠ n : ℕ in atTop, ‖a ^ n‖ ≤ ‖a‖ ^ n :=
eventually_atTop.mpr ⟨1, fun _b h => norm_pow_le' a (Nat.succ_le_iff.mp h)⟩
#align eventually_norm_pow_le eventually_norm_pow_le
instance ULift.seminormedRing : SeminormedRing (ULift α) :=
{ ULift.nonUnitalSeminormedRing, ULift.ring with }
/-- Seminormed ring structure on the product of two seminormed rings,
using the sup norm. -/
instance Prod.seminormedRing [SeminormedRing β] : SeminormedRing (α × β) :=
{ nonUnitalSeminormedRing, instRing with }
#align prod.semi_normed_ring Prod.seminormedRing
/-- Seminormed ring structure on the product of finitely many seminormed rings,
using the sup norm. -/
instance Pi.seminormedRing {π : ι → Type*} [Fintype ι] [∀ i, SeminormedRing (π i)] :
SeminormedRing (∀ i, π i) :=
{ Pi.nonUnitalSeminormedRing, Pi.ring with }
#align pi.semi_normed_ring Pi.seminormedRing
instance MulOpposite.instSeminormedRing : SeminormedRing αᵐᵒᵖ where
__ := instRing
__ := instNonUnitalSeminormedRing
#align mul_opposite.semi_normed_ring MulOpposite.instSeminormedRing
end SeminormedRing
section NonUnitalNormedRing
variable [NonUnitalNormedRing α]
instance ULift.nonUnitalNormedRing : NonUnitalNormedRing (ULift α) :=
{ ULift.nonUnitalSeminormedRing, ULift.normedAddCommGroup with }
/-- Non-unital normed ring structure on the product of two non-unital normed rings,
using the sup norm. -/
instance Prod.nonUnitalNormedRing [NonUnitalNormedRing β] : NonUnitalNormedRing (α × β) :=
{ Prod.nonUnitalSeminormedRing, Prod.normedAddCommGroup with }
#align prod.non_unital_normed_ring Prod.nonUnitalNormedRing
/-- Normed ring structure on the product of finitely many non-unital normed rings, using the sup
norm. -/
instance Pi.nonUnitalNormedRing {π : ι → Type*} [Fintype ι] [∀ i, NonUnitalNormedRing (π i)] :
NonUnitalNormedRing (∀ i, π i) :=
{ Pi.nonUnitalSeminormedRing, Pi.normedAddCommGroup with }
#align pi.non_unital_normed_ring Pi.nonUnitalNormedRing
instance MulOpposite.instNonUnitalNormedRing : NonUnitalNormedRing αᵐᵒᵖ where
__ := instNonUnitalRing
__ := instNonUnitalSeminormedRing
__ := instNormedAddCommGroup
#align mul_opposite.non_unital_normed_ring MulOpposite.instNonUnitalNormedRing
end NonUnitalNormedRing
section NormedRing
variable [NormedRing α]
theorem Units.norm_pos [Nontrivial α] (x : αˣ) : 0 < ‖(x : α)‖ :=
norm_pos_iff.mpr (Units.ne_zero x)
#align units.norm_pos Units.norm_pos
theorem Units.nnnorm_pos [Nontrivial α] (x : αˣ) : 0 < ‖(x : α)‖₊ :=
x.norm_pos
#align units.nnnorm_pos Units.nnnorm_pos
instance ULift.normedRing : NormedRing (ULift α) :=
{ ULift.seminormedRing, ULift.normedAddCommGroup with }
/-- Normed ring structure on the product of two normed rings, using the sup norm. -/
instance Prod.normedRing [NormedRing β] : NormedRing (α × β) :=
{ nonUnitalNormedRing, instRing with }
#align prod.normed_ring Prod.normedRing
/-- Normed ring structure on the product of finitely many normed rings, using the sup norm. -/
instance Pi.normedRing {π : ι → Type*} [Fintype ι] [∀ i, NormedRing (π i)] :
NormedRing (∀ i, π i) :=
{ Pi.seminormedRing, Pi.normedAddCommGroup with }
#align pi.normed_ring Pi.normedRing
instance MulOpposite.instNormedRing : NormedRing αᵐᵒᵖ where
__ := instRing
__ := instSeminormedRing
__ := instNormedAddCommGroup
#align mul_opposite.normed_ring MulOpposite.instNormedRing
end NormedRing
section NonUnitalSeminormedCommRing
variable [NonUnitalSeminormedCommRing α]
instance ULift.nonUnitalSeminormedCommRing : NonUnitalSeminormedCommRing (ULift α) :=
{ ULift.nonUnitalSeminormedRing, ULift.nonUnitalCommRing with }
/-- Non-unital seminormed commutative ring structure on the product of two non-unital seminormed
commutative rings, using the sup norm. -/
instance Prod.nonUnitalSeminormedCommRing [NonUnitalSeminormedCommRing β] :
NonUnitalSeminormedCommRing (α × β) :=
{ nonUnitalSeminormedRing, instNonUnitalCommRing with }
/-- Non-unital seminormed commutative ring structure on the product of finitely many non-unital
seminormed commutative rings, using the sup norm. -/
instance Pi.nonUnitalSeminormedCommRing {π : ι → Type*} [Fintype ι]
[∀ i, NonUnitalSeminormedCommRing (π i)] : NonUnitalSeminormedCommRing (∀ i, π i) :=
{ Pi.nonUnitalSeminormedRing, Pi.nonUnitalCommRing with }
instance MulOpposite.instNonUnitalSeminormedCommRing : NonUnitalSeminormedCommRing αᵐᵒᵖ where
__ := instNonUnitalSeminormedRing
__ := instNonUnitalCommRing
end NonUnitalSeminormedCommRing
section NonUnitalNormedCommRing
variable [NonUnitalNormedCommRing α]
/-- A non-unital subalgebra of a non-unital seminormed commutative ring is also a non-unital
seminormed commutative ring, with the restriction of the norm. -/
instance NonUnitalSubalgebra.nonUnitalSeminormedCommRing {𝕜 : Type*} [CommRing 𝕜] {E : Type*}
[NonUnitalSeminormedCommRing E] [Module 𝕜 E] (s : NonUnitalSubalgebra 𝕜 E) :
NonUnitalSeminormedCommRing s :=
{ s.nonUnitalSeminormedRing, s.toNonUnitalCommRing with }
/-- A non-unital subalgebra of a non-unital normed commutative ring is also a non-unital normed
commutative ring, with the restriction of the norm. -/
instance NonUnitalSubalgebra.nonUnitalNormedCommRing {𝕜 : Type*} [CommRing 𝕜] {E : Type*}
[NonUnitalNormedCommRing E] [Module 𝕜 E] (s : NonUnitalSubalgebra 𝕜 E) :
NonUnitalNormedCommRing s :=
{ s.nonUnitalSeminormedCommRing, s.nonUnitalNormedRing with }
instance ULift.nonUnitalNormedCommRing : NonUnitalNormedCommRing (ULift α) :=
{ ULift.nonUnitalSeminormedCommRing, ULift.normedAddCommGroup with }
/-- Non-unital normed commutative ring structure on the product of two non-unital normed
commutative rings, using the sup norm. -/
instance Prod.nonUnitalNormedCommRing [NonUnitalNormedCommRing β] :
NonUnitalNormedCommRing (α × β) :=
{ Prod.nonUnitalSeminormedCommRing, Prod.normedAddCommGroup with }
/-- Normed commutative ring structure on the product of finitely many non-unital normed
commutative rings, using the sup norm. -/
instance Pi.nonUnitalNormedCommRing {π : ι → Type*} [Fintype ι]
[∀ i, NonUnitalNormedCommRing (π i)] : NonUnitalNormedCommRing (∀ i, π i) :=
{ Pi.nonUnitalSeminormedCommRing, Pi.normedAddCommGroup with }
instance MulOpposite.instNonUnitalNormedCommRing : NonUnitalNormedCommRing αᵐᵒᵖ where
__ := instNonUnitalNormedRing
__ := instNonUnitalSeminormedCommRing
end NonUnitalNormedCommRing
section SeminormedCommRing
variable [SeminormedCommRing α]
instance ULift.seminormedCommRing : SeminormedCommRing (ULift α) :=
{ ULift.nonUnitalSeminormedRing, ULift.commRing with }
/-- Seminormed commutative ring structure on the product of two seminormed commutative rings,
using the sup norm. -/
instance Prod.seminormedCommRing [SeminormedCommRing β] : SeminormedCommRing (α × β) :=
{ Prod.nonUnitalSeminormedCommRing, instCommRing with }
/-- Seminormed commutative ring structure on the product of finitely many seminormed commutative
rings, using the sup norm. -/
instance Pi.seminormedCommRing {π : ι → Type*} [Fintype ι] [∀ i, SeminormedCommRing (π i)] :
SeminormedCommRing (∀ i, π i) :=
{ Pi.nonUnitalSeminormedCommRing, Pi.ring with }
instance MulOpposite.instSeminormedCommRing : SeminormedCommRing αᵐᵒᵖ where
__ := instSeminormedRing
__ := instNonUnitalSeminormedCommRing
end SeminormedCommRing
section NormedCommRing
/-- A subalgebra of a seminormed commutative ring is also a seminormed commutative ring, with the
restriction of the norm. -/
instance Subalgebra.seminormedCommRing {𝕜 : Type*} [CommRing 𝕜] {E : Type*} [SeminormedCommRing E]
[Algebra 𝕜 E] (s : Subalgebra 𝕜 E) : SeminormedCommRing s :=
{ s.seminormedRing, s.toCommRing with }
/-- A subalgebra of a normed commutative ring is also a normed commutative ring, with the
restriction of the norm. -/
instance Subalgebra.normedCommRing {𝕜 : Type*} [CommRing 𝕜] {E : Type*} [NormedCommRing E]
[Algebra 𝕜 E] (s : Subalgebra 𝕜 E) : NormedCommRing s :=
{ s.seminormedCommRing, s.normedRing with }
variable [NormedCommRing α]
instance ULift.normedCommRing : NormedCommRing (ULift α) :=
{ ULift.normedRing (α := α), ULift.seminormedCommRing with }
/-- Normed commutative ring structure on the product of two normed commutative rings, using the sup
norm. -/
instance Prod.normedCommRing [NormedCommRing β] : NormedCommRing (α × β) :=
{ nonUnitalNormedRing, instCommRing with }
/-- Normed commutative ring structure on the product of finitely many normed commutative rings,
using the sup norm. -/
instance Pi.normedCommutativeRing {π : ι → Type*} [Fintype ι] [∀ i, NormedCommRing (π i)] :
NormedCommRing (∀ i, π i) :=
{ Pi.seminormedCommRing, Pi.normedAddCommGroup with }
instance MulOpposite.instNormedCommRing : NormedCommRing αᵐᵒᵖ where
__ := instNormedRing
__ := instSeminormedCommRing
end NormedCommRing
-- see Note [lower instance priority]
instance (priority := 100) semi_normed_ring_top_monoid [NonUnitalSeminormedRing α] :
ContinuousMul α :=
⟨continuous_iff_continuousAt.2 fun x =>
tendsto_iff_norm_sub_tendsto_zero.2 <| by
have : ∀ e : α × α,
‖e.1 * e.2 - x.1 * x.2‖ ≤ ‖e.1‖ * ‖e.2 - x.2‖ + ‖e.1 - x.1‖ * ‖x.2‖ := by
intro e
calc
‖e.1 * e.2 - x.1 * x.2‖ ≤ ‖e.1 * (e.2 - x.2) + (e.1 - x.1) * x.2‖ := by
rw [_root_.mul_sub, _root_.sub_mul, sub_add_sub_cancel]
-- Porting note: `ENNReal.{mul_sub, sub_mul}` should be protected
_ ≤ ‖e.1‖ * ‖e.2 - x.2‖ + ‖e.1 - x.1‖ * ‖x.2‖ :=
norm_add_le_of_le (norm_mul_le _ _) (norm_mul_le _ _)
refine squeeze_zero (fun e => norm_nonneg _) this ?_
convert
((continuous_fst.tendsto x).norm.mul
((continuous_snd.tendsto x).sub tendsto_const_nhds).norm).add
(((continuous_fst.tendsto x).sub tendsto_const_nhds).norm.mul _)
-- Porting note: `show` used to select a goal to work on
rotate_right
· show Tendsto _ _ _
exact tendsto_const_nhds
· simp⟩
#align semi_normed_ring_top_monoid semi_normed_ring_top_monoid
-- see Note [lower instance priority]
/-- A seminormed ring is a topological ring. -/
instance (priority := 100) semi_normed_top_ring [NonUnitalSeminormedRing α] :
TopologicalRing α where
#align semi_normed_top_ring semi_normed_top_ring
section NormedDivisionRing
variable [NormedDivisionRing α] {a : α}
@[simp]
theorem norm_mul (a b : α) : ‖a * b‖ = ‖a‖ * ‖b‖ :=
NormedDivisionRing.norm_mul' a b
#align norm_mul norm_mul
instance (priority := 900) NormedDivisionRing.to_normOneClass : NormOneClass α :=
⟨mul_left_cancel₀ (mt norm_eq_zero.1 (one_ne_zero' α)) <| by rw [← norm_mul, mul_one, mul_one]⟩
#align normed_division_ring.to_norm_one_class NormedDivisionRing.to_normOneClass
instance isAbsoluteValue_norm : IsAbsoluteValue (norm : α → ℝ) where
abv_nonneg' := norm_nonneg
abv_eq_zero' := norm_eq_zero
abv_add' := norm_add_le
abv_mul' := norm_mul
#align is_absolute_value_norm isAbsoluteValue_norm
@[simp]
theorem nnnorm_mul (a b : α) : ‖a * b‖₊ = ‖a‖₊ * ‖b‖₊ :=
NNReal.eq <| norm_mul a b
#align nnnorm_mul nnnorm_mul
/-- `norm` as a `MonoidWithZeroHom`. -/
@[simps]
def normHom : α →*₀ ℝ where
toFun := (‖·‖)
map_zero' := norm_zero
map_one' := norm_one
map_mul' := norm_mul
#align norm_hom normHom
/-- `nnnorm` as a `MonoidWithZeroHom`. -/
@[simps]
def nnnormHom : α →*₀ ℝ≥0 where
toFun := (‖·‖₊)
map_zero' := nnnorm_zero
map_one' := nnnorm_one
map_mul' := nnnorm_mul
#align nnnorm_hom nnnormHom
@[simp]
theorem norm_pow (a : α) : ∀ n : ℕ, ‖a ^ n‖ = ‖a‖ ^ n :=
(normHom.toMonoidHom : α →* ℝ).map_pow a
#align norm_pow norm_pow
@[simp]
theorem nnnorm_pow (a : α) (n : ℕ) : ‖a ^ n‖₊ = ‖a‖₊ ^ n :=
(nnnormHom.toMonoidHom : α →* ℝ≥0).map_pow a n
#align nnnorm_pow nnnorm_pow
protected theorem List.norm_prod (l : List α) : ‖l.prod‖ = (l.map norm).prod :=
map_list_prod (normHom.toMonoidHom : α →* ℝ) _
#align list.norm_prod List.norm_prod
protected theorem List.nnnorm_prod (l : List α) : ‖l.prod‖₊ = (l.map nnnorm).prod :=
map_list_prod (nnnormHom.toMonoidHom : α →* ℝ≥0) _
#align list.nnnorm_prod List.nnnorm_prod
@[simp]
theorem norm_div (a b : α) : ‖a / b‖ = ‖a‖ / ‖b‖ :=
map_div₀ (normHom : α →*₀ ℝ) a b
#align norm_div norm_div
@[simp]
theorem nnnorm_div (a b : α) : ‖a / b‖₊ = ‖a‖₊ / ‖b‖₊ :=
map_div₀ (nnnormHom : α →*₀ ℝ≥0) a b
#align nnnorm_div nnnorm_div
@[simp]
theorem norm_inv (a : α) : ‖a⁻¹‖ = ‖a‖⁻¹ :=
map_inv₀ (normHom : α →*₀ ℝ) a
#align norm_inv norm_inv
@[simp]
theorem nnnorm_inv (a : α) : ‖a⁻¹‖₊ = ‖a‖₊⁻¹ :=
NNReal.eq <| by simp
#align nnnorm_inv nnnorm_inv
@[simp]
theorem norm_zpow : ∀ (a : α) (n : ℤ), ‖a ^ n‖ = ‖a‖ ^ n :=
map_zpow₀ (normHom : α →*₀ ℝ)
#align norm_zpow norm_zpow
@[simp]
theorem nnnorm_zpow : ∀ (a : α) (n : ℤ), ‖a ^ n‖₊ = ‖a‖₊ ^ n :=
map_zpow₀ (nnnormHom : α →*₀ ℝ≥0)
#align nnnorm_zpow nnnorm_zpow
theorem dist_inv_inv₀ {z w : α} (hz : z ≠ 0) (hw : w ≠ 0) :
dist z⁻¹ w⁻¹ = dist z w / (‖z‖ * ‖w‖) := by
rw [dist_eq_norm, inv_sub_inv' hz hw, norm_mul, norm_mul, norm_inv, norm_inv, mul_comm ‖z‖⁻¹,
mul_assoc, dist_eq_norm', div_eq_mul_inv, mul_inv]
#align dist_inv_inv₀ dist_inv_inv₀
theorem nndist_inv_inv₀ {z w : α} (hz : z ≠ 0) (hw : w ≠ 0) :
nndist z⁻¹ w⁻¹ = nndist z w / (‖z‖₊ * ‖w‖₊) :=
NNReal.eq <| dist_inv_inv₀ hz hw
#align nndist_inv_inv₀ nndist_inv_inv₀
lemma antilipschitzWith_mul_left {a : α} (ha : a ≠ 0) : AntilipschitzWith (‖a‖₊⁻¹) (a * ·) :=
AntilipschitzWith.of_le_mul_dist fun _ _ ↦ by simp [dist_eq_norm, ← _root_.mul_sub, ha]
lemma antilipschitzWith_mul_right {a : α} (ha : a ≠ 0) : AntilipschitzWith (‖a‖₊⁻¹) (· * a) :=
AntilipschitzWith.of_le_mul_dist fun _ _ ↦ by
simp [dist_eq_norm, ← _root_.sub_mul, ← mul_comm (‖a‖), ha]
/-- Multiplication by a nonzero element `a` on the left
as a `DilationEquiv` of a normed division ring. -/
@[simps!]
def DilationEquiv.mulLeft (a : α) (ha : a ≠ 0) : α ≃ᵈ α where
toEquiv := Equiv.mulLeft₀ a ha
edist_eq' := ⟨‖a‖₊, nnnorm_ne_zero_iff.2 ha, fun x y ↦ by
simp [edist_nndist, nndist_eq_nnnorm, ← mul_sub]⟩
/-- Multiplication by a nonzero element `a` on the right
as a `DilationEquiv` of a normed division ring. -/
@[simps!]
def DilationEquiv.mulRight (a : α) (ha : a ≠ 0) : α ≃ᵈ α where
toEquiv := Equiv.mulRight₀ a ha
edist_eq' := ⟨‖a‖₊, nnnorm_ne_zero_iff.2 ha, fun x y ↦ by
simp [edist_nndist, nndist_eq_nnnorm, ← sub_mul, ← mul_comm (‖a‖₊)]⟩
namespace Filter
@[simp]
lemma comap_mul_left_cobounded {a : α} (ha : a ≠ 0) :
comap (a * ·) (cobounded α) = cobounded α :=
Dilation.comap_cobounded (DilationEquiv.mulLeft a ha)
@[simp]
lemma map_mul_left_cobounded {a : α} (ha : a ≠ 0) :
map (a * ·) (cobounded α) = cobounded α :=
DilationEquiv.map_cobounded (DilationEquiv.mulLeft a ha)
@[simp]
lemma comap_mul_right_cobounded {a : α} (ha : a ≠ 0) :
comap (· * a) (cobounded α) = cobounded α :=
Dilation.comap_cobounded (DilationEquiv.mulRight a ha)
@[simp]
lemma map_mul_right_cobounded {a : α} (ha : a ≠ 0) :
map (· * a) (cobounded α) = cobounded α :=
DilationEquiv.map_cobounded (DilationEquiv.mulRight a ha)
/-- Multiplication on the left by a nonzero element of a normed division ring tends to infinity at
infinity. -/
theorem tendsto_mul_left_cobounded {a : α} (ha : a ≠ 0) :
Tendsto (a * ·) (cobounded α) (cobounded α) :=
(map_mul_left_cobounded ha).le
#align filter.tendsto_mul_left_cobounded Filter.tendsto_mul_left_cobounded
/-- Multiplication on the right by a nonzero element of a normed division ring tends to infinity at
infinity. -/
theorem tendsto_mul_right_cobounded {a : α} (ha : a ≠ 0) :
Tendsto (· * a) (cobounded α) (cobounded α) :=
(map_mul_right_cobounded ha).le
#align filter.tendsto_mul_right_cobounded Filter.tendsto_mul_right_cobounded
@[simp]
lemma inv_cobounded₀ : (cobounded α)⁻¹ = 𝓝[≠] 0 := by
rw [← comap_norm_atTop, ← Filter.comap_inv, ← comap_norm_nhdsWithin_Ioi_zero,
← inv_atTop₀, ← Filter.comap_inv]
simp only [comap_comap, (· ∘ ·), norm_inv]
@[simp]
lemma inv_nhdsWithin_ne_zero : (𝓝[≠] (0 : α))⁻¹ = cobounded α := by
rw [← inv_cobounded₀, inv_inv]
lemma tendsto_inv₀_cobounded' : Tendsto Inv.inv (cobounded α) (𝓝[≠] 0) :=
inv_cobounded₀.le
theorem tendsto_inv₀_cobounded : Tendsto Inv.inv (cobounded α) (𝓝 0) :=
tendsto_inv₀_cobounded'.mono_right inf_le_left
lemma tendsto_inv₀_nhdsWithin_ne_zero : Tendsto Inv.inv (𝓝[≠] 0) (cobounded α) :=
inv_nhdsWithin_ne_zero.le
end Filter
-- see Note [lower instance priority]
instance (priority := 100) NormedDivisionRing.to_hasContinuousInv₀ : HasContinuousInv₀ α := by
refine ⟨fun r r0 => tendsto_iff_norm_sub_tendsto_zero.2 ?_⟩
have r0' : 0 < ‖r‖ := norm_pos_iff.2 r0
rcases exists_between r0' with ⟨ε, ε0, εr⟩
have : ∀ᶠ e in 𝓝 r, ‖e⁻¹ - r⁻¹‖ ≤ ‖r - e‖ / ‖r‖ / ε := by
filter_upwards [(isOpen_lt continuous_const continuous_norm).eventually_mem εr] with e he
have e0 : e ≠ 0 := norm_pos_iff.1 (ε0.trans he)
calc
‖e⁻¹ - r⁻¹‖ = ‖r‖⁻¹ * ‖r - e‖ * ‖e‖⁻¹ := by
rw [← norm_inv, ← norm_inv, ← norm_mul, ← norm_mul, _root_.mul_sub, _root_.sub_mul,
mul_assoc _ e, inv_mul_cancel r0, mul_inv_cancel e0, one_mul, mul_one]
-- Porting note: `ENNReal.{mul_sub, sub_mul}` should be `protected`
_ = ‖r - e‖ / ‖r‖ / ‖e‖ := by field_simp [mul_comm]
_ ≤ ‖r - e‖ / ‖r‖ / ε := by gcongr
refine squeeze_zero' (eventually_of_forall fun _ => norm_nonneg _) this ?_
refine (((continuous_const.sub continuous_id).norm.div_const _).div_const _).tendsto' _ _ ?_
simp
#align normed_division_ring.to_has_continuous_inv₀ NormedDivisionRing.to_hasContinuousInv₀
-- see Note [lower instance priority]
/-- A normed division ring is a topological division ring. -/
instance (priority := 100) NormedDivisionRing.to_topologicalDivisionRing :
TopologicalDivisionRing α where
#align normed_division_ring.to_topological_division_ring NormedDivisionRing.to_topologicalDivisionRing
protected lemma IsOfFinOrder.norm_eq_one (ha : IsOfFinOrder a) : ‖a‖ = 1 :=
((normHom : α →*₀ ℝ).toMonoidHom.isOfFinOrder ha).eq_one $ norm_nonneg _
#align norm_one_of_pow_eq_one IsOfFinOrder.norm_eq_one
example [Monoid β] (φ : β →* α) {x : β} {k : ℕ+} (h : x ^ (k : ℕ) = 1) :
‖φ x‖ = 1 := (φ.isOfFinOrder <| isOfFinOrder_iff_pow_eq_one.2 ⟨_, k.2, h⟩).norm_eq_one
#noalign norm_map_one_of_pow_eq_one
end NormedDivisionRing
/-- A normed field is a field with a norm satisfying ‖x y‖ = ‖x‖ ‖y‖. -/
class NormedField (α : Type*) extends Norm α, Field α, MetricSpace α where
/-- The distance is induced by the norm. -/
dist_eq : ∀ x y, dist x y = norm (x - y)
/-- The norm is multiplicative. -/
norm_mul' : ∀ a b, norm (a * b) = norm a * norm b
#align normed_field NormedField
/-- A nontrivially normed field is a normed field in which there is an element of norm different
from `0` and `1`. This makes it possible to bring any element arbitrarily close to `0` by
multiplication by the powers of any element, and thus to relate algebra and topology. -/
class NontriviallyNormedField (α : Type*) extends NormedField α where
/-- The norm attains a value exceeding 1. -/
non_trivial : ∃ x : α, 1 < ‖x‖
#align nontrivially_normed_field NontriviallyNormedField
/-- A densely normed field is a normed field for which the image of the norm is dense in `ℝ≥0`,
which means it is also nontrivially normed. However, not all nontrivally normed fields are densely
normed; in particular, the `Padic`s exhibit this fact. -/
class DenselyNormedField (α : Type*) extends NormedField α where
/-- The range of the norm is dense in the collection of nonnegative real numbers. -/
lt_norm_lt : ∀ x y : ℝ, 0 ≤ x → x < y → ∃ a : α, x < ‖a‖ ∧ ‖a‖ < y
#align densely_normed_field DenselyNormedField
section NormedField
/-- A densely normed field is always a nontrivially normed field.
See note [lower instance priority]. -/
instance (priority := 100) DenselyNormedField.toNontriviallyNormedField [DenselyNormedField α] :
NontriviallyNormedField α where
non_trivial :=
let ⟨a, h, _⟩ := DenselyNormedField.lt_norm_lt 1 2 zero_le_one one_lt_two
⟨a, h⟩
#align densely_normed_field.to_nontrivially_normed_field DenselyNormedField.toNontriviallyNormedField
variable [NormedField α]
-- see Note [lower instance priority]
instance (priority := 100) NormedField.toNormedDivisionRing : NormedDivisionRing α :=
{ ‹NormedField α› with }
#align normed_field.to_normed_division_ring NormedField.toNormedDivisionRing
-- see Note [lower instance priority]
instance (priority := 100) NormedField.toNormedCommRing : NormedCommRing α :=
{ ‹NormedField α› with norm_mul := fun a b => (norm_mul a b).le }
#align normed_field.to_normed_comm_ring NormedField.toNormedCommRing
@[simp]
theorem norm_prod (s : Finset β) (f : β → α) : ‖∏ b ∈ s, f b‖ = ∏ b ∈ s, ‖f b‖ :=
map_prod normHom.toMonoidHom f s
#align norm_prod norm_prod
@[simp]
theorem nnnorm_prod (s : Finset β) (f : β → α) : ‖∏ b ∈ s, f b‖₊ = ∏ b ∈ s, ‖f b‖₊ :=
map_prod nnnormHom.toMonoidHom f s
#align nnnorm_prod nnnorm_prod
end NormedField
namespace NormedField
section Nontrivially
variable (α) [NontriviallyNormedField α]
theorem exists_one_lt_norm : ∃ x : α, 1 < ‖x‖ :=
‹NontriviallyNormedField α›.non_trivial
#align normed_field.exists_one_lt_norm NormedField.exists_one_lt_norm
theorem exists_lt_norm (r : ℝ) : ∃ x : α, r < ‖x‖ :=
let ⟨w, hw⟩ := exists_one_lt_norm α
let ⟨n, hn⟩ := pow_unbounded_of_one_lt r hw
⟨w ^ n, by rwa [norm_pow]⟩
#align normed_field.exists_lt_norm NormedField.exists_lt_norm
theorem exists_norm_lt {r : ℝ} (hr : 0 < r) : ∃ x : α, 0 < ‖x‖ ∧ ‖x‖ < r :=
let ⟨w, hw⟩ := exists_lt_norm α r⁻¹
⟨w⁻¹, by rwa [← Set.mem_Ioo, norm_inv, ← Set.mem_inv, Set.inv_Ioo_0_left hr]⟩
#align normed_field.exists_norm_lt NormedField.exists_norm_lt
theorem exists_norm_lt_one : ∃ x : α, 0 < ‖x‖ ∧ ‖x‖ < 1 :=
exists_norm_lt α one_pos
#align normed_field.exists_norm_lt_one NormedField.exists_norm_lt_one
variable {α}
@[instance]
| Mathlib/Analysis/Normed/Field/Basic.lean | 983 | 988 | theorem punctured_nhds_neBot (x : α) : NeBot (𝓝[≠] x) := by |
rw [← mem_closure_iff_nhdsWithin_neBot, Metric.mem_closure_iff]
rintro ε ε0
rcases exists_norm_lt α ε0 with ⟨b, hb0, hbε⟩
refine ⟨x + b, mt (Set.mem_singleton_iff.trans add_right_eq_self).1 <| norm_pos_iff.1 hb0, ?_⟩
rwa [dist_comm, dist_eq_norm, add_sub_cancel_left]
|
/-
Copyright (c) 2018 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro, Chris Hughes
-/
import Mathlib.Algebra.Algebra.Defs
import Mathlib.Algebra.Polynomial.FieldDivision
import Mathlib.FieldTheory.Minpoly.Basic
import Mathlib.RingTheory.Adjoin.Basic
import Mathlib.RingTheory.FinitePresentation
import Mathlib.RingTheory.FiniteType
import Mathlib.RingTheory.PowerBasis
import Mathlib.RingTheory.PrincipalIdealDomain
import Mathlib.RingTheory.QuotientNoetherian
#align_import ring_theory.adjoin_root from "leanprover-community/mathlib"@"5c4b3d41a84bd2a1d79c7d9265e58a891e71be89"
/-!
# Adjoining roots of polynomials
This file defines the commutative ring `AdjoinRoot f`, the ring R[X]/(f) obtained from a
commutative ring `R` and a polynomial `f : R[X]`. If furthermore `R` is a field and `f` is
irreducible, the field structure on `AdjoinRoot f` is constructed.
We suggest stating results on `IsAdjoinRoot` instead of `AdjoinRoot` to achieve higher
generality, since `IsAdjoinRoot` works for all different constructions of `R[α]`
including `AdjoinRoot f = R[X]/(f)` itself.
## Main definitions and results
The main definitions are in the `AdjoinRoot` namespace.
* `mk f : R[X] →+* AdjoinRoot f`, the natural ring homomorphism.
* `of f : R →+* AdjoinRoot f`, the natural ring homomorphism.
* `root f : AdjoinRoot f`, the image of X in R[X]/(f).
* `lift (i : R →+* S) (x : S) (h : f.eval₂ i x = 0) : (AdjoinRoot f) →+* S`, the ring
homomorphism from R[X]/(f) to S extending `i : R →+* S` and sending `X` to `x`.
* `lift_hom (x : S) (hfx : aeval x f = 0) : AdjoinRoot f →ₐ[R] S`, the algebra
homomorphism from R[X]/(f) to S extending `algebraMap R S` and sending `X` to `x`
* `equiv : (AdjoinRoot f →ₐ[F] E) ≃ {x // x ∈ f.aroots E}` a
bijection between algebra homomorphisms from `AdjoinRoot` and roots of `f` in `S`
-/
noncomputable section
open scoped Classical
open Polynomial
universe u v w
variable {R : Type u} {S : Type v} {K : Type w}
open Polynomial Ideal
/-- Adjoin a root of a polynomial `f` to a commutative ring `R`. We define the new ring
as the quotient of `R[X]` by the principal ideal generated by `f`. -/
def AdjoinRoot [CommRing R] (f : R[X]) : Type u :=
Polynomial R ⧸ (span {f} : Ideal R[X])
#align adjoin_root AdjoinRoot
namespace AdjoinRoot
section CommRing
variable [CommRing R] (f : R[X])
instance instCommRing : CommRing (AdjoinRoot f) :=
Ideal.Quotient.commRing _
#align adjoin_root.comm_ring AdjoinRoot.instCommRing
instance : Inhabited (AdjoinRoot f) :=
⟨0⟩
instance : DecidableEq (AdjoinRoot f) :=
Classical.decEq _
protected theorem nontrivial [IsDomain R] (h : degree f ≠ 0) : Nontrivial (AdjoinRoot f) :=
Ideal.Quotient.nontrivial
(by
simp_rw [Ne, span_singleton_eq_top, Polynomial.isUnit_iff, not_exists, not_and]
rintro x hx rfl
exact h (degree_C hx.ne_zero))
#align adjoin_root.nontrivial AdjoinRoot.nontrivial
/-- Ring homomorphism from `R[x]` to `AdjoinRoot f` sending `X` to the `root`. -/
def mk : R[X] →+* AdjoinRoot f :=
Ideal.Quotient.mk _
#align adjoin_root.mk AdjoinRoot.mk
@[elab_as_elim]
theorem induction_on {C : AdjoinRoot f → Prop} (x : AdjoinRoot f) (ih : ∀ p : R[X], C (mk f p)) :
C x :=
Quotient.inductionOn' x ih
#align adjoin_root.induction_on AdjoinRoot.induction_on
/-- Embedding of the original ring `R` into `AdjoinRoot f`. -/
def of : R →+* AdjoinRoot f :=
(mk f).comp C
#align adjoin_root.of AdjoinRoot.of
instance instSMulAdjoinRoot [DistribSMul S R] [IsScalarTower S R R] : SMul S (AdjoinRoot f) :=
Submodule.Quotient.instSMul' _
instance [DistribSMul S R] [IsScalarTower S R R] : DistribSMul S (AdjoinRoot f) :=
Submodule.Quotient.distribSMul' _
@[simp]
theorem smul_mk [DistribSMul S R] [IsScalarTower S R R] (a : S) (x : R[X]) :
a • mk f x = mk f (a • x) :=
rfl
#align adjoin_root.smul_mk AdjoinRoot.smul_mk
| Mathlib/RingTheory/AdjoinRoot.lean | 120 | 121 | theorem smul_of [DistribSMul S R] [IsScalarTower S R R] (a : S) (x : R) :
a • of f x = of f (a • x) := by | rw [of, RingHom.comp_apply, RingHom.comp_apply, smul_mk, smul_C]
|
/-
Copyright (c) 2022 Yuyang Zhao. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yuyang Zhao
-/
import Batteries.Classes.Order
namespace Batteries.PairingHeapImp
/--
A `Heap` is the nodes of the pairing heap.
Each node have two pointers: `child` going to the first child of this node,
and `sibling` goes to the next sibling of this tree.
So it actually encodes a forest where each node has children
`node.child`, `node.child.sibling`, `node.child.sibling.sibling`, etc.
Each edge in this forest denotes a `le a b` relation that has been checked, so
the root is smaller than everything else under it.
-/
inductive Heap (α : Type u) where
/-- An empty forest, which has depth `0`. -/
| nil : Heap α
/-- A forest consists of a root `a`, a forest `child` elements greater than `a`,
and another forest `sibling`. -/
| node (a : α) (child sibling : Heap α) : Heap α
deriving Repr
/-- `O(n)`. The number of elements in the heap. -/
def Heap.size : Heap α → Nat
| .nil => 0
| .node _ c s => c.size + 1 + s.size
/-- A node containing a single element `a`. -/
def Heap.singleton (a : α) : Heap α := .node a .nil .nil
/-- `O(1)`. Is the heap empty? -/
def Heap.isEmpty : Heap α → Bool
| .nil => true
| _ => false
/-- `O(1)`. Merge two heaps. Ignore siblings. -/
@[specialize] def Heap.merge (le : α → α → Bool) : Heap α → Heap α → Heap α
| .nil, .nil => .nil
| .nil, .node a₂ c₂ _ => .node a₂ c₂ .nil
| .node a₁ c₁ _, .nil => .node a₁ c₁ .nil
| .node a₁ c₁ _, .node a₂ c₂ _ =>
if le a₁ a₂ then .node a₁ (.node a₂ c₂ c₁) .nil else .node a₂ (.node a₁ c₁ c₂) .nil
/-- Auxiliary for `Heap.deleteMin`: merge the forest in pairs. -/
@[specialize] def Heap.combine (le : α → α → Bool) : Heap α → Heap α
| h₁@(.node _ _ h₂@(.node _ _ s)) => merge le (merge le h₁ h₂) (s.combine le)
| h => h
/-- `O(1)`. Get the smallest element in the heap, including the passed in value `a`. -/
@[inline] def Heap.headD (a : α) : Heap α → α
| .nil => a
| .node a _ _ => a
/-- `O(1)`. Get the smallest element in the heap, if it has an element. -/
@[inline] def Heap.head? : Heap α → Option α
| .nil => none
| .node a _ _ => some a
/-- Amortized `O(log n)`. Find and remove the the minimum element from the heap. -/
@[inline] def Heap.deleteMin (le : α → α → Bool) : Heap α → Option (α × Heap α)
| .nil => none
| .node a c _ => (a, combine le c)
/-- Amortized `O(log n)`. Get the tail of the pairing heap after removing the minimum element. -/
@[inline] def Heap.tail? (le : α → α → Bool) (h : Heap α) : Option (Heap α) :=
deleteMin le h |>.map (·.snd)
/-- Amortized `O(log n)`. Remove the minimum element of the heap. -/
@[inline] def Heap.tail (le : α → α → Bool) (h : Heap α) : Heap α :=
tail? le h |>.getD .nil
/-- A predicate says there is no more than one tree. -/
inductive Heap.NoSibling : Heap α → Prop
/-- An empty heap is no more than one tree. -/
| nil : NoSibling .nil
/-- Or there is exactly one tree. -/
| node (a c) : NoSibling (.node a c .nil)
instance : Decidable (Heap.NoSibling s) :=
match s with
| .nil => isTrue .nil
| .node a c .nil => isTrue (.node a c)
| .node _ _ (.node _ _ _) => isFalse nofun
theorem Heap.noSibling_merge (le) (s₁ s₂ : Heap α) :
(s₁.merge le s₂).NoSibling := by
unfold merge
(split <;> try split) <;> constructor
theorem Heap.noSibling_combine (le) (s : Heap α) :
(s.combine le).NoSibling := by
unfold combine; split
· exact noSibling_merge _ _ _
· match s with
| nil | node _ _ nil => constructor
| node _ _ (node _ _ s) => rename_i h; exact (h _ _ _ _ _ rfl).elim
theorem Heap.noSibling_deleteMin {s : Heap α} (eq : s.deleteMin le = some (a, s')) :
s'.NoSibling := by
cases s with cases eq | node a c => exact noSibling_combine _ _
| .lake/packages/batteries/Batteries/Data/PairingHeap.lean | 107 | 111 | theorem Heap.noSibling_tail? {s : Heap α} : s.tail? le = some s' →
s'.NoSibling := by |
simp only [Heap.tail?]; intro eq
match eq₂ : s.deleteMin le, eq with
| some (a, tl), rfl => exact noSibling_deleteMin eq₂
|
/-
Copyright (c) 2014 Jeremy Avigad. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jeremy Avigad, Leonardo de Moura
-/
import Mathlib.Init.ZeroOne
import Mathlib.Data.Set.Defs
import Mathlib.Order.Basic
import Mathlib.Order.SymmDiff
import Mathlib.Tactic.Tauto
import Mathlib.Tactic.ByContra
import Mathlib.Util.Delaborators
#align_import data.set.basic from "leanprover-community/mathlib"@"001ffdc42920050657fd45bd2b8bfbec8eaaeb29"
/-!
# Basic properties of sets
Sets in Lean are homogeneous; all their elements have the same type. Sets whose elements
have type `X` are thus defined as `Set X := X → Prop`. Note that this function need not
be decidable. The definition is in the core library.
This file provides some basic definitions related to sets and functions not present in the core
library, as well as extra lemmas for functions in the core library (empty set, univ, union,
intersection, insert, singleton, set-theoretic difference, complement, and powerset).
Note that a set is a term, not a type. There is a coercion from `Set α` to `Type*` sending
`s` to the corresponding subtype `↥s`.
See also the file `SetTheory/ZFC.lean`, which contains an encoding of ZFC set theory in Lean.
## Main definitions
Notation used here:
- `f : α → β` is a function,
- `s : Set α` and `s₁ s₂ : Set α` are subsets of `α`
- `t : Set β` is a subset of `β`.
Definitions in the file:
* `Nonempty s : Prop` : the predicate `s ≠ ∅`. Note that this is the preferred way to express the
fact that `s` has an element (see the Implementation Notes).
* `inclusion s₁ s₂ : ↥s₁ → ↥s₂` : the map `↥s₁ → ↥s₂` induced by an inclusion `s₁ ⊆ s₂`.
## Notation
* `sᶜ` for the complement of `s`
## Implementation notes
* `s.Nonempty` is to be preferred to `s ≠ ∅` or `∃ x, x ∈ s`. It has the advantage that
the `s.Nonempty` dot notation can be used.
* For `s : Set α`, do not use `Subtype s`. Instead use `↥s` or `(s : Type*)` or `s`.
## Tags
set, sets, subset, subsets, union, intersection, insert, singleton, complement, powerset
-/
/-! ### Set coercion to a type -/
open Function
universe u v w x
namespace Set
variable {α : Type u} {s t : Set α}
instance instBooleanAlgebraSet : BooleanAlgebra (Set α) :=
{ (inferInstance : BooleanAlgebra (α → Prop)) with
sup := (· ∪ ·),
le := (· ≤ ·),
lt := fun s t => s ⊆ t ∧ ¬t ⊆ s,
inf := (· ∩ ·),
bot := ∅,
compl := (·ᶜ),
top := univ,
sdiff := (· \ ·) }
instance : HasSSubset (Set α) :=
⟨(· < ·)⟩
@[simp]
theorem top_eq_univ : (⊤ : Set α) = univ :=
rfl
#align set.top_eq_univ Set.top_eq_univ
@[simp]
theorem bot_eq_empty : (⊥ : Set α) = ∅ :=
rfl
#align set.bot_eq_empty Set.bot_eq_empty
@[simp]
theorem sup_eq_union : ((· ⊔ ·) : Set α → Set α → Set α) = (· ∪ ·) :=
rfl
#align set.sup_eq_union Set.sup_eq_union
@[simp]
theorem inf_eq_inter : ((· ⊓ ·) : Set α → Set α → Set α) = (· ∩ ·) :=
rfl
#align set.inf_eq_inter Set.inf_eq_inter
@[simp]
theorem le_eq_subset : ((· ≤ ·) : Set α → Set α → Prop) = (· ⊆ ·) :=
rfl
#align set.le_eq_subset Set.le_eq_subset
@[simp]
theorem lt_eq_ssubset : ((· < ·) : Set α → Set α → Prop) = (· ⊂ ·) :=
rfl
#align set.lt_eq_ssubset Set.lt_eq_ssubset
theorem le_iff_subset : s ≤ t ↔ s ⊆ t :=
Iff.rfl
#align set.le_iff_subset Set.le_iff_subset
theorem lt_iff_ssubset : s < t ↔ s ⊂ t :=
Iff.rfl
#align set.lt_iff_ssubset Set.lt_iff_ssubset
alias ⟨_root_.LE.le.subset, _root_.HasSubset.Subset.le⟩ := le_iff_subset
#align has_subset.subset.le HasSubset.Subset.le
alias ⟨_root_.LT.lt.ssubset, _root_.HasSSubset.SSubset.lt⟩ := lt_iff_ssubset
#align has_ssubset.ssubset.lt HasSSubset.SSubset.lt
instance PiSetCoe.canLift (ι : Type u) (α : ι → Type v) [∀ i, Nonempty (α i)] (s : Set ι) :
CanLift (∀ i : s, α i) (∀ i, α i) (fun f i => f i) fun _ => True :=
PiSubtype.canLift ι α s
#align set.pi_set_coe.can_lift Set.PiSetCoe.canLift
instance PiSetCoe.canLift' (ι : Type u) (α : Type v) [Nonempty α] (s : Set ι) :
CanLift (s → α) (ι → α) (fun f i => f i) fun _ => True :=
PiSetCoe.canLift ι (fun _ => α) s
#align set.pi_set_coe.can_lift' Set.PiSetCoe.canLift'
end Set
section SetCoe
variable {α : Type u}
instance (s : Set α) : CoeTC s α := ⟨fun x => x.1⟩
theorem Set.coe_eq_subtype (s : Set α) : ↥s = { x // x ∈ s } :=
rfl
#align set.coe_eq_subtype Set.coe_eq_subtype
@[simp]
theorem Set.coe_setOf (p : α → Prop) : ↥{ x | p x } = { x // p x } :=
rfl
#align set.coe_set_of Set.coe_setOf
-- Porting note (#10618): removed `simp` because `simp` can prove it
theorem SetCoe.forall {s : Set α} {p : s → Prop} : (∀ x : s, p x) ↔ ∀ (x) (h : x ∈ s), p ⟨x, h⟩ :=
Subtype.forall
#align set_coe.forall SetCoe.forall
-- Porting note (#10618): removed `simp` because `simp` can prove it
theorem SetCoe.exists {s : Set α} {p : s → Prop} :
(∃ x : s, p x) ↔ ∃ (x : _) (h : x ∈ s), p ⟨x, h⟩ :=
Subtype.exists
#align set_coe.exists SetCoe.exists
theorem SetCoe.exists' {s : Set α} {p : ∀ x, x ∈ s → Prop} :
(∃ (x : _) (h : x ∈ s), p x h) ↔ ∃ x : s, p x.1 x.2 :=
(@SetCoe.exists _ _ fun x => p x.1 x.2).symm
#align set_coe.exists' SetCoe.exists'
theorem SetCoe.forall' {s : Set α} {p : ∀ x, x ∈ s → Prop} :
(∀ (x) (h : x ∈ s), p x h) ↔ ∀ x : s, p x.1 x.2 :=
(@SetCoe.forall _ _ fun x => p x.1 x.2).symm
#align set_coe.forall' SetCoe.forall'
@[simp]
theorem set_coe_cast :
∀ {s t : Set α} (H' : s = t) (H : ↥s = ↥t) (x : s), cast H x = ⟨x.1, H' ▸ x.2⟩
| _, _, rfl, _, _ => rfl
#align set_coe_cast set_coe_cast
theorem SetCoe.ext {s : Set α} {a b : s} : (a : α) = b → a = b :=
Subtype.eq
#align set_coe.ext SetCoe.ext
theorem SetCoe.ext_iff {s : Set α} {a b : s} : (↑a : α) = ↑b ↔ a = b :=
Iff.intro SetCoe.ext fun h => h ▸ rfl
#align set_coe.ext_iff SetCoe.ext_iff
end SetCoe
/-- See also `Subtype.prop` -/
theorem Subtype.mem {α : Type*} {s : Set α} (p : s) : (p : α) ∈ s :=
p.prop
#align subtype.mem Subtype.mem
/-- Duplicate of `Eq.subset'`, which currently has elaboration problems. -/
theorem Eq.subset {α} {s t : Set α} : s = t → s ⊆ t :=
fun h₁ _ h₂ => by rw [← h₁]; exact h₂
#align eq.subset Eq.subset
namespace Set
variable {α : Type u} {β : Type v} {γ : Type w} {ι : Sort x} {a b : α} {s s₁ s₂ t t₁ t₂ u : Set α}
instance : Inhabited (Set α) :=
⟨∅⟩
theorem ext_iff {s t : Set α} : s = t ↔ ∀ x, x ∈ s ↔ x ∈ t :=
⟨fun h x => by rw [h], ext⟩
#align set.ext_iff Set.ext_iff
@[trans]
theorem mem_of_mem_of_subset {x : α} {s t : Set α} (hx : x ∈ s) (h : s ⊆ t) : x ∈ t :=
h hx
#align set.mem_of_mem_of_subset Set.mem_of_mem_of_subset
theorem forall_in_swap {p : α → β → Prop} : (∀ a ∈ s, ∀ (b), p a b) ↔ ∀ (b), ∀ a ∈ s, p a b := by
tauto
#align set.forall_in_swap Set.forall_in_swap
/-! ### Lemmas about `mem` and `setOf` -/
theorem mem_setOf {a : α} {p : α → Prop} : a ∈ { x | p x } ↔ p a :=
Iff.rfl
#align set.mem_set_of Set.mem_setOf
/-- If `h : a ∈ {x | p x}` then `h.out : p x`. These are definitionally equal, but this can
nevertheless be useful for various reasons, e.g. to apply further projection notation or in an
argument to `simp`. -/
theorem _root_.Membership.mem.out {p : α → Prop} {a : α} (h : a ∈ { x | p x }) : p a :=
h
#align has_mem.mem.out Membership.mem.out
theorem nmem_setOf_iff {a : α} {p : α → Prop} : a ∉ { x | p x } ↔ ¬p a :=
Iff.rfl
#align set.nmem_set_of_iff Set.nmem_setOf_iff
@[simp]
theorem setOf_mem_eq {s : Set α} : { x | x ∈ s } = s :=
rfl
#align set.set_of_mem_eq Set.setOf_mem_eq
theorem setOf_set {s : Set α} : setOf s = s :=
rfl
#align set.set_of_set Set.setOf_set
theorem setOf_app_iff {p : α → Prop} {x : α} : { x | p x } x ↔ p x :=
Iff.rfl
#align set.set_of_app_iff Set.setOf_app_iff
theorem mem_def {a : α} {s : Set α} : a ∈ s ↔ s a :=
Iff.rfl
#align set.mem_def Set.mem_def
theorem setOf_bijective : Bijective (setOf : (α → Prop) → Set α) :=
bijective_id
#align set.set_of_bijective Set.setOf_bijective
theorem subset_setOf {p : α → Prop} {s : Set α} : s ⊆ setOf p ↔ ∀ x, x ∈ s → p x :=
Iff.rfl
theorem setOf_subset {p : α → Prop} {s : Set α} : setOf p ⊆ s ↔ ∀ x, p x → x ∈ s :=
Iff.rfl
@[simp]
theorem setOf_subset_setOf {p q : α → Prop} : { a | p a } ⊆ { a | q a } ↔ ∀ a, p a → q a :=
Iff.rfl
#align set.set_of_subset_set_of Set.setOf_subset_setOf
theorem setOf_and {p q : α → Prop} : { a | p a ∧ q a } = { a | p a } ∩ { a | q a } :=
rfl
#align set.set_of_and Set.setOf_and
theorem setOf_or {p q : α → Prop} : { a | p a ∨ q a } = { a | p a } ∪ { a | q a } :=
rfl
#align set.set_of_or Set.setOf_or
/-! ### Subset and strict subset relations -/
instance : IsRefl (Set α) (· ⊆ ·) :=
show IsRefl (Set α) (· ≤ ·) by infer_instance
instance : IsTrans (Set α) (· ⊆ ·) :=
show IsTrans (Set α) (· ≤ ·) by infer_instance
instance : Trans ((· ⊆ ·) : Set α → Set α → Prop) (· ⊆ ·) (· ⊆ ·) :=
show Trans (· ≤ ·) (· ≤ ·) (· ≤ ·) by infer_instance
instance : IsAntisymm (Set α) (· ⊆ ·) :=
show IsAntisymm (Set α) (· ≤ ·) by infer_instance
instance : IsIrrefl (Set α) (· ⊂ ·) :=
show IsIrrefl (Set α) (· < ·) by infer_instance
instance : IsTrans (Set α) (· ⊂ ·) :=
show IsTrans (Set α) (· < ·) by infer_instance
instance : Trans ((· ⊂ ·) : Set α → Set α → Prop) (· ⊂ ·) (· ⊂ ·) :=
show Trans (· < ·) (· < ·) (· < ·) by infer_instance
instance : Trans ((· ⊂ ·) : Set α → Set α → Prop) (· ⊆ ·) (· ⊂ ·) :=
show Trans (· < ·) (· ≤ ·) (· < ·) by infer_instance
instance : Trans ((· ⊆ ·) : Set α → Set α → Prop) (· ⊂ ·) (· ⊂ ·) :=
show Trans (· ≤ ·) (· < ·) (· < ·) by infer_instance
instance : IsAsymm (Set α) (· ⊂ ·) :=
show IsAsymm (Set α) (· < ·) by infer_instance
instance : IsNonstrictStrictOrder (Set α) (· ⊆ ·) (· ⊂ ·) :=
⟨fun _ _ => Iff.rfl⟩
-- TODO(Jeremy): write a tactic to unfold specific instances of generic notation?
theorem subset_def : (s ⊆ t) = ∀ x, x ∈ s → x ∈ t :=
rfl
#align set.subset_def Set.subset_def
theorem ssubset_def : (s ⊂ t) = (s ⊆ t ∧ ¬t ⊆ s) :=
rfl
#align set.ssubset_def Set.ssubset_def
@[refl]
theorem Subset.refl (a : Set α) : a ⊆ a := fun _ => id
#align set.subset.refl Set.Subset.refl
theorem Subset.rfl {s : Set α} : s ⊆ s :=
Subset.refl s
#align set.subset.rfl Set.Subset.rfl
@[trans]
theorem Subset.trans {a b c : Set α} (ab : a ⊆ b) (bc : b ⊆ c) : a ⊆ c := fun _ h => bc <| ab h
#align set.subset.trans Set.Subset.trans
@[trans]
theorem mem_of_eq_of_mem {x y : α} {s : Set α} (hx : x = y) (h : y ∈ s) : x ∈ s :=
hx.symm ▸ h
#align set.mem_of_eq_of_mem Set.mem_of_eq_of_mem
theorem Subset.antisymm {a b : Set α} (h₁ : a ⊆ b) (h₂ : b ⊆ a) : a = b :=
Set.ext fun _ => ⟨@h₁ _, @h₂ _⟩
#align set.subset.antisymm Set.Subset.antisymm
theorem Subset.antisymm_iff {a b : Set α} : a = b ↔ a ⊆ b ∧ b ⊆ a :=
⟨fun e => ⟨e.subset, e.symm.subset⟩, fun ⟨h₁, h₂⟩ => Subset.antisymm h₁ h₂⟩
#align set.subset.antisymm_iff Set.Subset.antisymm_iff
-- an alternative name
theorem eq_of_subset_of_subset {a b : Set α} : a ⊆ b → b ⊆ a → a = b :=
Subset.antisymm
#align set.eq_of_subset_of_subset Set.eq_of_subset_of_subset
theorem mem_of_subset_of_mem {s₁ s₂ : Set α} {a : α} (h : s₁ ⊆ s₂) : a ∈ s₁ → a ∈ s₂ :=
@h _
#align set.mem_of_subset_of_mem Set.mem_of_subset_of_mem
theorem not_mem_subset (h : s ⊆ t) : a ∉ t → a ∉ s :=
mt <| mem_of_subset_of_mem h
#align set.not_mem_subset Set.not_mem_subset
theorem not_subset : ¬s ⊆ t ↔ ∃ a ∈ s, a ∉ t := by
simp only [subset_def, not_forall, exists_prop]
#align set.not_subset Set.not_subset
lemma eq_of_forall_subset_iff (h : ∀ u, s ⊆ u ↔ t ⊆ u) : s = t := eq_of_forall_ge_iff h
/-! ### Definition of strict subsets `s ⊂ t` and basic properties. -/
protected theorem eq_or_ssubset_of_subset (h : s ⊆ t) : s = t ∨ s ⊂ t :=
eq_or_lt_of_le h
#align set.eq_or_ssubset_of_subset Set.eq_or_ssubset_of_subset
theorem exists_of_ssubset {s t : Set α} (h : s ⊂ t) : ∃ x ∈ t, x ∉ s :=
not_subset.1 h.2
#align set.exists_of_ssubset Set.exists_of_ssubset
protected theorem ssubset_iff_subset_ne {s t : Set α} : s ⊂ t ↔ s ⊆ t ∧ s ≠ t :=
@lt_iff_le_and_ne (Set α) _ s t
#align set.ssubset_iff_subset_ne Set.ssubset_iff_subset_ne
theorem ssubset_iff_of_subset {s t : Set α} (h : s ⊆ t) : s ⊂ t ↔ ∃ x ∈ t, x ∉ s :=
⟨exists_of_ssubset, fun ⟨_, hxt, hxs⟩ => ⟨h, fun h => hxs <| h hxt⟩⟩
#align set.ssubset_iff_of_subset Set.ssubset_iff_of_subset
protected theorem ssubset_of_ssubset_of_subset {s₁ s₂ s₃ : Set α} (hs₁s₂ : s₁ ⊂ s₂)
(hs₂s₃ : s₂ ⊆ s₃) : s₁ ⊂ s₃ :=
⟨Subset.trans hs₁s₂.1 hs₂s₃, fun hs₃s₁ => hs₁s₂.2 (Subset.trans hs₂s₃ hs₃s₁)⟩
#align set.ssubset_of_ssubset_of_subset Set.ssubset_of_ssubset_of_subset
protected theorem ssubset_of_subset_of_ssubset {s₁ s₂ s₃ : Set α} (hs₁s₂ : s₁ ⊆ s₂)
(hs₂s₃ : s₂ ⊂ s₃) : s₁ ⊂ s₃ :=
⟨Subset.trans hs₁s₂ hs₂s₃.1, fun hs₃s₁ => hs₂s₃.2 (Subset.trans hs₃s₁ hs₁s₂)⟩
#align set.ssubset_of_subset_of_ssubset Set.ssubset_of_subset_of_ssubset
theorem not_mem_empty (x : α) : ¬x ∈ (∅ : Set α) :=
id
#align set.not_mem_empty Set.not_mem_empty
-- Porting note (#10618): removed `simp` because `simp` can prove it
theorem not_not_mem : ¬a ∉ s ↔ a ∈ s :=
not_not
#align set.not_not_mem Set.not_not_mem
/-! ### Non-empty sets -/
-- Porting note: we seem to need parentheses at `(↥s)`,
-- even if we increase the right precedence of `↥` in `Mathlib.Tactic.Coe`.
-- Porting note: removed `simp` as it is competing with `nonempty_subtype`.
-- @[simp]
theorem nonempty_coe_sort {s : Set α} : Nonempty (↥s) ↔ s.Nonempty :=
nonempty_subtype
#align set.nonempty_coe_sort Set.nonempty_coe_sort
alias ⟨_, Nonempty.coe_sort⟩ := nonempty_coe_sort
#align set.nonempty.coe_sort Set.Nonempty.coe_sort
theorem nonempty_def : s.Nonempty ↔ ∃ x, x ∈ s :=
Iff.rfl
#align set.nonempty_def Set.nonempty_def
theorem nonempty_of_mem {x} (h : x ∈ s) : s.Nonempty :=
⟨x, h⟩
#align set.nonempty_of_mem Set.nonempty_of_mem
theorem Nonempty.not_subset_empty : s.Nonempty → ¬s ⊆ ∅
| ⟨_, hx⟩, hs => hs hx
#align set.nonempty.not_subset_empty Set.Nonempty.not_subset_empty
/-- Extract a witness from `s.Nonempty`. This function might be used instead of case analysis
on the argument. Note that it makes a proof depend on the `Classical.choice` axiom. -/
protected noncomputable def Nonempty.some (h : s.Nonempty) : α :=
Classical.choose h
#align set.nonempty.some Set.Nonempty.some
protected theorem Nonempty.some_mem (h : s.Nonempty) : h.some ∈ s :=
Classical.choose_spec h
#align set.nonempty.some_mem Set.Nonempty.some_mem
theorem Nonempty.mono (ht : s ⊆ t) (hs : s.Nonempty) : t.Nonempty :=
hs.imp ht
#align set.nonempty.mono Set.Nonempty.mono
theorem nonempty_of_not_subset (h : ¬s ⊆ t) : (s \ t).Nonempty :=
let ⟨x, xs, xt⟩ := not_subset.1 h
⟨x, xs, xt⟩
#align set.nonempty_of_not_subset Set.nonempty_of_not_subset
theorem nonempty_of_ssubset (ht : s ⊂ t) : (t \ s).Nonempty :=
nonempty_of_not_subset ht.2
#align set.nonempty_of_ssubset Set.nonempty_of_ssubset
theorem Nonempty.of_diff (h : (s \ t).Nonempty) : s.Nonempty :=
h.imp fun _ => And.left
#align set.nonempty.of_diff Set.Nonempty.of_diff
theorem nonempty_of_ssubset' (ht : s ⊂ t) : t.Nonempty :=
(nonempty_of_ssubset ht).of_diff
#align set.nonempty_of_ssubset' Set.nonempty_of_ssubset'
theorem Nonempty.inl (hs : s.Nonempty) : (s ∪ t).Nonempty :=
hs.imp fun _ => Or.inl
#align set.nonempty.inl Set.Nonempty.inl
theorem Nonempty.inr (ht : t.Nonempty) : (s ∪ t).Nonempty :=
ht.imp fun _ => Or.inr
#align set.nonempty.inr Set.Nonempty.inr
@[simp]
theorem union_nonempty : (s ∪ t).Nonempty ↔ s.Nonempty ∨ t.Nonempty :=
exists_or
#align set.union_nonempty Set.union_nonempty
theorem Nonempty.left (h : (s ∩ t).Nonempty) : s.Nonempty :=
h.imp fun _ => And.left
#align set.nonempty.left Set.Nonempty.left
theorem Nonempty.right (h : (s ∩ t).Nonempty) : t.Nonempty :=
h.imp fun _ => And.right
#align set.nonempty.right Set.Nonempty.right
theorem inter_nonempty : (s ∩ t).Nonempty ↔ ∃ x, x ∈ s ∧ x ∈ t :=
Iff.rfl
#align set.inter_nonempty Set.inter_nonempty
theorem inter_nonempty_iff_exists_left : (s ∩ t).Nonempty ↔ ∃ x ∈ s, x ∈ t := by
simp_rw [inter_nonempty]
#align set.inter_nonempty_iff_exists_left Set.inter_nonempty_iff_exists_left
theorem inter_nonempty_iff_exists_right : (s ∩ t).Nonempty ↔ ∃ x ∈ t, x ∈ s := by
simp_rw [inter_nonempty, and_comm]
#align set.inter_nonempty_iff_exists_right Set.inter_nonempty_iff_exists_right
theorem nonempty_iff_univ_nonempty : Nonempty α ↔ (univ : Set α).Nonempty :=
⟨fun ⟨x⟩ => ⟨x, trivial⟩, fun ⟨x, _⟩ => ⟨x⟩⟩
#align set.nonempty_iff_univ_nonempty Set.nonempty_iff_univ_nonempty
@[simp]
theorem univ_nonempty : ∀ [Nonempty α], (univ : Set α).Nonempty
| ⟨x⟩ => ⟨x, trivial⟩
#align set.univ_nonempty Set.univ_nonempty
theorem Nonempty.to_subtype : s.Nonempty → Nonempty (↥s) :=
nonempty_subtype.2
#align set.nonempty.to_subtype Set.Nonempty.to_subtype
theorem Nonempty.to_type : s.Nonempty → Nonempty α := fun ⟨x, _⟩ => ⟨x⟩
#align set.nonempty.to_type Set.Nonempty.to_type
instance univ.nonempty [Nonempty α] : Nonempty (↥(Set.univ : Set α)) :=
Set.univ_nonempty.to_subtype
#align set.univ.nonempty Set.univ.nonempty
theorem nonempty_of_nonempty_subtype [Nonempty (↥s)] : s.Nonempty :=
nonempty_subtype.mp ‹_›
#align set.nonempty_of_nonempty_subtype Set.nonempty_of_nonempty_subtype
/-! ### Lemmas about the empty set -/
theorem empty_def : (∅ : Set α) = { _x : α | False } :=
rfl
#align set.empty_def Set.empty_def
@[simp]
theorem mem_empty_iff_false (x : α) : x ∈ (∅ : Set α) ↔ False :=
Iff.rfl
#align set.mem_empty_iff_false Set.mem_empty_iff_false
@[simp]
theorem setOf_false : { _a : α | False } = ∅ :=
rfl
#align set.set_of_false Set.setOf_false
@[simp] theorem setOf_bot : { _x : α | ⊥ } = ∅ := rfl
@[simp]
theorem empty_subset (s : Set α) : ∅ ⊆ s :=
nofun
#align set.empty_subset Set.empty_subset
theorem subset_empty_iff {s : Set α} : s ⊆ ∅ ↔ s = ∅ :=
(Subset.antisymm_iff.trans <| and_iff_left (empty_subset _)).symm
#align set.subset_empty_iff Set.subset_empty_iff
theorem eq_empty_iff_forall_not_mem {s : Set α} : s = ∅ ↔ ∀ x, x ∉ s :=
subset_empty_iff.symm
#align set.eq_empty_iff_forall_not_mem Set.eq_empty_iff_forall_not_mem
theorem eq_empty_of_forall_not_mem (h : ∀ x, x ∉ s) : s = ∅ :=
subset_empty_iff.1 h
#align set.eq_empty_of_forall_not_mem Set.eq_empty_of_forall_not_mem
theorem eq_empty_of_subset_empty {s : Set α} : s ⊆ ∅ → s = ∅ :=
subset_empty_iff.1
#align set.eq_empty_of_subset_empty Set.eq_empty_of_subset_empty
theorem eq_empty_of_isEmpty [IsEmpty α] (s : Set α) : s = ∅ :=
eq_empty_of_subset_empty fun x _ => isEmptyElim x
#align set.eq_empty_of_is_empty Set.eq_empty_of_isEmpty
/-- There is exactly one set of a type that is empty. -/
instance uniqueEmpty [IsEmpty α] : Unique (Set α) where
default := ∅
uniq := eq_empty_of_isEmpty
#align set.unique_empty Set.uniqueEmpty
/-- See also `Set.nonempty_iff_ne_empty`. -/
theorem not_nonempty_iff_eq_empty {s : Set α} : ¬s.Nonempty ↔ s = ∅ := by
simp only [Set.Nonempty, not_exists, eq_empty_iff_forall_not_mem]
#align set.not_nonempty_iff_eq_empty Set.not_nonempty_iff_eq_empty
/-- See also `Set.not_nonempty_iff_eq_empty`. -/
theorem nonempty_iff_ne_empty : s.Nonempty ↔ s ≠ ∅ :=
not_nonempty_iff_eq_empty.not_right
#align set.nonempty_iff_ne_empty Set.nonempty_iff_ne_empty
/-- See also `nonempty_iff_ne_empty'`. -/
theorem not_nonempty_iff_eq_empty' : ¬Nonempty s ↔ s = ∅ := by
rw [nonempty_subtype, not_exists, eq_empty_iff_forall_not_mem]
/-- See also `not_nonempty_iff_eq_empty'`. -/
theorem nonempty_iff_ne_empty' : Nonempty s ↔ s ≠ ∅ :=
not_nonempty_iff_eq_empty'.not_right
alias ⟨Nonempty.ne_empty, _⟩ := nonempty_iff_ne_empty
#align set.nonempty.ne_empty Set.Nonempty.ne_empty
@[simp]
theorem not_nonempty_empty : ¬(∅ : Set α).Nonempty := fun ⟨_, hx⟩ => hx
#align set.not_nonempty_empty Set.not_nonempty_empty
-- Porting note: removing `@[simp]` as it is competing with `isEmpty_subtype`.
-- @[simp]
theorem isEmpty_coe_sort {s : Set α} : IsEmpty (↥s) ↔ s = ∅ :=
not_iff_not.1 <| by simpa using nonempty_iff_ne_empty
#align set.is_empty_coe_sort Set.isEmpty_coe_sort
theorem eq_empty_or_nonempty (s : Set α) : s = ∅ ∨ s.Nonempty :=
or_iff_not_imp_left.2 nonempty_iff_ne_empty.2
#align set.eq_empty_or_nonempty Set.eq_empty_or_nonempty
theorem subset_eq_empty {s t : Set α} (h : t ⊆ s) (e : s = ∅) : t = ∅ :=
subset_empty_iff.1 <| e ▸ h
#align set.subset_eq_empty Set.subset_eq_empty
theorem forall_mem_empty {p : α → Prop} : (∀ x ∈ (∅ : Set α), p x) ↔ True :=
iff_true_intro fun _ => False.elim
#align set.ball_empty_iff Set.forall_mem_empty
@[deprecated (since := "2024-03-23")] alias ball_empty_iff := forall_mem_empty
instance (α : Type u) : IsEmpty.{u + 1} (↥(∅ : Set α)) :=
⟨fun x => x.2⟩
@[simp]
theorem empty_ssubset : ∅ ⊂ s ↔ s.Nonempty :=
(@bot_lt_iff_ne_bot (Set α) _ _ _).trans nonempty_iff_ne_empty.symm
#align set.empty_ssubset Set.empty_ssubset
alias ⟨_, Nonempty.empty_ssubset⟩ := empty_ssubset
#align set.nonempty.empty_ssubset Set.Nonempty.empty_ssubset
/-!
### Universal set.
In Lean `@univ α` (or `univ : Set α`) is the set that contains all elements of type `α`.
Mathematically it is the same as `α` but it has a different type.
-/
@[simp]
theorem setOf_true : { _x : α | True } = univ :=
rfl
#align set.set_of_true Set.setOf_true
@[simp] theorem setOf_top : { _x : α | ⊤ } = univ := rfl
@[simp]
theorem univ_eq_empty_iff : (univ : Set α) = ∅ ↔ IsEmpty α :=
eq_empty_iff_forall_not_mem.trans
⟨fun H => ⟨fun x => H x trivial⟩, fun H x _ => @IsEmpty.false α H x⟩
#align set.univ_eq_empty_iff Set.univ_eq_empty_iff
theorem empty_ne_univ [Nonempty α] : (∅ : Set α) ≠ univ := fun e =>
not_isEmpty_of_nonempty α <| univ_eq_empty_iff.1 e.symm
#align set.empty_ne_univ Set.empty_ne_univ
@[simp]
theorem subset_univ (s : Set α) : s ⊆ univ := fun _ _ => trivial
#align set.subset_univ Set.subset_univ
@[simp]
theorem univ_subset_iff {s : Set α} : univ ⊆ s ↔ s = univ :=
@top_le_iff _ _ _ s
#align set.univ_subset_iff Set.univ_subset_iff
alias ⟨eq_univ_of_univ_subset, _⟩ := univ_subset_iff
#align set.eq_univ_of_univ_subset Set.eq_univ_of_univ_subset
theorem eq_univ_iff_forall {s : Set α} : s = univ ↔ ∀ x, x ∈ s :=
univ_subset_iff.symm.trans <| forall_congr' fun _ => imp_iff_right trivial
#align set.eq_univ_iff_forall Set.eq_univ_iff_forall
theorem eq_univ_of_forall {s : Set α} : (∀ x, x ∈ s) → s = univ :=
eq_univ_iff_forall.2
#align set.eq_univ_of_forall Set.eq_univ_of_forall
theorem Nonempty.eq_univ [Subsingleton α] : s.Nonempty → s = univ := by
rintro ⟨x, hx⟩
exact eq_univ_of_forall fun y => by rwa [Subsingleton.elim y x]
#align set.nonempty.eq_univ Set.Nonempty.eq_univ
theorem eq_univ_of_subset {s t : Set α} (h : s ⊆ t) (hs : s = univ) : t = univ :=
eq_univ_of_univ_subset <| (hs ▸ h : univ ⊆ t)
#align set.eq_univ_of_subset Set.eq_univ_of_subset
theorem exists_mem_of_nonempty (α) : ∀ [Nonempty α], ∃ x : α, x ∈ (univ : Set α)
| ⟨x⟩ => ⟨x, trivial⟩
#align set.exists_mem_of_nonempty Set.exists_mem_of_nonempty
theorem ne_univ_iff_exists_not_mem {α : Type*} (s : Set α) : s ≠ univ ↔ ∃ a, a ∉ s := by
rw [← not_forall, ← eq_univ_iff_forall]
#align set.ne_univ_iff_exists_not_mem Set.ne_univ_iff_exists_not_mem
theorem not_subset_iff_exists_mem_not_mem {α : Type*} {s t : Set α} :
¬s ⊆ t ↔ ∃ x, x ∈ s ∧ x ∉ t := by simp [subset_def]
#align set.not_subset_iff_exists_mem_not_mem Set.not_subset_iff_exists_mem_not_mem
theorem univ_unique [Unique α] : @Set.univ α = {default} :=
Set.ext fun x => iff_of_true trivial <| Subsingleton.elim x default
#align set.univ_unique Set.univ_unique
theorem ssubset_univ_iff : s ⊂ univ ↔ s ≠ univ :=
lt_top_iff_ne_top
#align set.ssubset_univ_iff Set.ssubset_univ_iff
instance nontrivial_of_nonempty [Nonempty α] : Nontrivial (Set α) :=
⟨⟨∅, univ, empty_ne_univ⟩⟩
#align set.nontrivial_of_nonempty Set.nontrivial_of_nonempty
/-! ### Lemmas about union -/
theorem union_def {s₁ s₂ : Set α} : s₁ ∪ s₂ = { a | a ∈ s₁ ∨ a ∈ s₂ } :=
rfl
#align set.union_def Set.union_def
theorem mem_union_left {x : α} {a : Set α} (b : Set α) : x ∈ a → x ∈ a ∪ b :=
Or.inl
#align set.mem_union_left Set.mem_union_left
theorem mem_union_right {x : α} {b : Set α} (a : Set α) : x ∈ b → x ∈ a ∪ b :=
Or.inr
#align set.mem_union_right Set.mem_union_right
theorem mem_or_mem_of_mem_union {x : α} {a b : Set α} (H : x ∈ a ∪ b) : x ∈ a ∨ x ∈ b :=
H
#align set.mem_or_mem_of_mem_union Set.mem_or_mem_of_mem_union
theorem MemUnion.elim {x : α} {a b : Set α} {P : Prop} (H₁ : x ∈ a ∪ b) (H₂ : x ∈ a → P)
(H₃ : x ∈ b → P) : P :=
Or.elim H₁ H₂ H₃
#align set.mem_union.elim Set.MemUnion.elim
@[simp]
theorem mem_union (x : α) (a b : Set α) : x ∈ a ∪ b ↔ x ∈ a ∨ x ∈ b :=
Iff.rfl
#align set.mem_union Set.mem_union
@[simp]
theorem union_self (a : Set α) : a ∪ a = a :=
ext fun _ => or_self_iff
#align set.union_self Set.union_self
@[simp]
theorem union_empty (a : Set α) : a ∪ ∅ = a :=
ext fun _ => or_false_iff _
#align set.union_empty Set.union_empty
@[simp]
theorem empty_union (a : Set α) : ∅ ∪ a = a :=
ext fun _ => false_or_iff _
#align set.empty_union Set.empty_union
theorem union_comm (a b : Set α) : a ∪ b = b ∪ a :=
ext fun _ => or_comm
#align set.union_comm Set.union_comm
theorem union_assoc (a b c : Set α) : a ∪ b ∪ c = a ∪ (b ∪ c) :=
ext fun _ => or_assoc
#align set.union_assoc Set.union_assoc
instance union_isAssoc : Std.Associative (α := Set α) (· ∪ ·) :=
⟨union_assoc⟩
#align set.union_is_assoc Set.union_isAssoc
instance union_isComm : Std.Commutative (α := Set α) (· ∪ ·) :=
⟨union_comm⟩
#align set.union_is_comm Set.union_isComm
theorem union_left_comm (s₁ s₂ s₃ : Set α) : s₁ ∪ (s₂ ∪ s₃) = s₂ ∪ (s₁ ∪ s₃) :=
ext fun _ => or_left_comm
#align set.union_left_comm Set.union_left_comm
theorem union_right_comm (s₁ s₂ s₃ : Set α) : s₁ ∪ s₂ ∪ s₃ = s₁ ∪ s₃ ∪ s₂ :=
ext fun _ => or_right_comm
#align set.union_right_comm Set.union_right_comm
@[simp]
theorem union_eq_left {s t : Set α} : s ∪ t = s ↔ t ⊆ s :=
sup_eq_left
#align set.union_eq_left_iff_subset Set.union_eq_left
@[simp]
theorem union_eq_right {s t : Set α} : s ∪ t = t ↔ s ⊆ t :=
sup_eq_right
#align set.union_eq_right_iff_subset Set.union_eq_right
theorem union_eq_self_of_subset_left {s t : Set α} (h : s ⊆ t) : s ∪ t = t :=
union_eq_right.mpr h
#align set.union_eq_self_of_subset_left Set.union_eq_self_of_subset_left
theorem union_eq_self_of_subset_right {s t : Set α} (h : t ⊆ s) : s ∪ t = s :=
union_eq_left.mpr h
#align set.union_eq_self_of_subset_right Set.union_eq_self_of_subset_right
@[simp]
theorem subset_union_left {s t : Set α} : s ⊆ s ∪ t := fun _ => Or.inl
#align set.subset_union_left Set.subset_union_left
@[simp]
theorem subset_union_right {s t : Set α} : t ⊆ s ∪ t := fun _ => Or.inr
#align set.subset_union_right Set.subset_union_right
theorem union_subset {s t r : Set α} (sr : s ⊆ r) (tr : t ⊆ r) : s ∪ t ⊆ r := fun _ =>
Or.rec (@sr _) (@tr _)
#align set.union_subset Set.union_subset
@[simp]
theorem union_subset_iff {s t u : Set α} : s ∪ t ⊆ u ↔ s ⊆ u ∧ t ⊆ u :=
(forall_congr' fun _ => or_imp).trans forall_and
#align set.union_subset_iff Set.union_subset_iff
@[gcongr]
theorem union_subset_union {s₁ s₂ t₁ t₂ : Set α} (h₁ : s₁ ⊆ s₂) (h₂ : t₁ ⊆ t₂) :
s₁ ∪ t₁ ⊆ s₂ ∪ t₂ := fun _ => Or.imp (@h₁ _) (@h₂ _)
#align set.union_subset_union Set.union_subset_union
@[gcongr]
theorem union_subset_union_left {s₁ s₂ : Set α} (t) (h : s₁ ⊆ s₂) : s₁ ∪ t ⊆ s₂ ∪ t :=
union_subset_union h Subset.rfl
#align set.union_subset_union_left Set.union_subset_union_left
@[gcongr]
theorem union_subset_union_right (s) {t₁ t₂ : Set α} (h : t₁ ⊆ t₂) : s ∪ t₁ ⊆ s ∪ t₂ :=
union_subset_union Subset.rfl h
#align set.union_subset_union_right Set.union_subset_union_right
theorem subset_union_of_subset_left {s t : Set α} (h : s ⊆ t) (u : Set α) : s ⊆ t ∪ u :=
h.trans subset_union_left
#align set.subset_union_of_subset_left Set.subset_union_of_subset_left
theorem subset_union_of_subset_right {s u : Set α} (h : s ⊆ u) (t : Set α) : s ⊆ t ∪ u :=
h.trans subset_union_right
#align set.subset_union_of_subset_right Set.subset_union_of_subset_right
-- Porting note: replaced `⊔` in RHS
theorem union_congr_left (ht : t ⊆ s ∪ u) (hu : u ⊆ s ∪ t) : s ∪ t = s ∪ u :=
sup_congr_left ht hu
#align set.union_congr_left Set.union_congr_left
theorem union_congr_right (hs : s ⊆ t ∪ u) (ht : t ⊆ s ∪ u) : s ∪ u = t ∪ u :=
sup_congr_right hs ht
#align set.union_congr_right Set.union_congr_right
theorem union_eq_union_iff_left : s ∪ t = s ∪ u ↔ t ⊆ s ∪ u ∧ u ⊆ s ∪ t :=
sup_eq_sup_iff_left
#align set.union_eq_union_iff_left Set.union_eq_union_iff_left
theorem union_eq_union_iff_right : s ∪ u = t ∪ u ↔ s ⊆ t ∪ u ∧ t ⊆ s ∪ u :=
sup_eq_sup_iff_right
#align set.union_eq_union_iff_right Set.union_eq_union_iff_right
@[simp]
theorem union_empty_iff {s t : Set α} : s ∪ t = ∅ ↔ s = ∅ ∧ t = ∅ := by
simp only [← subset_empty_iff]
exact union_subset_iff
#align set.union_empty_iff Set.union_empty_iff
@[simp]
theorem union_univ (s : Set α) : s ∪ univ = univ := sup_top_eq _
#align set.union_univ Set.union_univ
@[simp]
theorem univ_union (s : Set α) : univ ∪ s = univ := top_sup_eq _
#align set.univ_union Set.univ_union
/-! ### Lemmas about intersection -/
theorem inter_def {s₁ s₂ : Set α} : s₁ ∩ s₂ = { a | a ∈ s₁ ∧ a ∈ s₂ } :=
rfl
#align set.inter_def Set.inter_def
@[simp, mfld_simps]
theorem mem_inter_iff (x : α) (a b : Set α) : x ∈ a ∩ b ↔ x ∈ a ∧ x ∈ b :=
Iff.rfl
#align set.mem_inter_iff Set.mem_inter_iff
theorem mem_inter {x : α} {a b : Set α} (ha : x ∈ a) (hb : x ∈ b) : x ∈ a ∩ b :=
⟨ha, hb⟩
#align set.mem_inter Set.mem_inter
theorem mem_of_mem_inter_left {x : α} {a b : Set α} (h : x ∈ a ∩ b) : x ∈ a :=
h.left
#align set.mem_of_mem_inter_left Set.mem_of_mem_inter_left
theorem mem_of_mem_inter_right {x : α} {a b : Set α} (h : x ∈ a ∩ b) : x ∈ b :=
h.right
#align set.mem_of_mem_inter_right Set.mem_of_mem_inter_right
@[simp]
theorem inter_self (a : Set α) : a ∩ a = a :=
ext fun _ => and_self_iff
#align set.inter_self Set.inter_self
@[simp]
theorem inter_empty (a : Set α) : a ∩ ∅ = ∅ :=
ext fun _ => and_false_iff _
#align set.inter_empty Set.inter_empty
@[simp]
theorem empty_inter (a : Set α) : ∅ ∩ a = ∅ :=
ext fun _ => false_and_iff _
#align set.empty_inter Set.empty_inter
theorem inter_comm (a b : Set α) : a ∩ b = b ∩ a :=
ext fun _ => and_comm
#align set.inter_comm Set.inter_comm
theorem inter_assoc (a b c : Set α) : a ∩ b ∩ c = a ∩ (b ∩ c) :=
ext fun _ => and_assoc
#align set.inter_assoc Set.inter_assoc
instance inter_isAssoc : Std.Associative (α := Set α) (· ∩ ·) :=
⟨inter_assoc⟩
#align set.inter_is_assoc Set.inter_isAssoc
instance inter_isComm : Std.Commutative (α := Set α) (· ∩ ·) :=
⟨inter_comm⟩
#align set.inter_is_comm Set.inter_isComm
theorem inter_left_comm (s₁ s₂ s₃ : Set α) : s₁ ∩ (s₂ ∩ s₃) = s₂ ∩ (s₁ ∩ s₃) :=
ext fun _ => and_left_comm
#align set.inter_left_comm Set.inter_left_comm
theorem inter_right_comm (s₁ s₂ s₃ : Set α) : s₁ ∩ s₂ ∩ s₃ = s₁ ∩ s₃ ∩ s₂ :=
ext fun _ => and_right_comm
#align set.inter_right_comm Set.inter_right_comm
@[simp, mfld_simps]
theorem inter_subset_left {s t : Set α} : s ∩ t ⊆ s := fun _ => And.left
#align set.inter_subset_left Set.inter_subset_left
@[simp]
theorem inter_subset_right {s t : Set α} : s ∩ t ⊆ t := fun _ => And.right
#align set.inter_subset_right Set.inter_subset_right
theorem subset_inter {s t r : Set α} (rs : r ⊆ s) (rt : r ⊆ t) : r ⊆ s ∩ t := fun _ h =>
⟨rs h, rt h⟩
#align set.subset_inter Set.subset_inter
@[simp]
theorem subset_inter_iff {s t r : Set α} : r ⊆ s ∩ t ↔ r ⊆ s ∧ r ⊆ t :=
(forall_congr' fun _ => imp_and).trans forall_and
#align set.subset_inter_iff Set.subset_inter_iff
@[simp] lemma inter_eq_left : s ∩ t = s ↔ s ⊆ t := inf_eq_left
#align set.inter_eq_left_iff_subset Set.inter_eq_left
@[simp] lemma inter_eq_right : s ∩ t = t ↔ t ⊆ s := inf_eq_right
#align set.inter_eq_right_iff_subset Set.inter_eq_right
@[simp] lemma left_eq_inter : s = s ∩ t ↔ s ⊆ t := left_eq_inf
@[simp] lemma right_eq_inter : t = s ∩ t ↔ t ⊆ s := right_eq_inf
theorem inter_eq_self_of_subset_left {s t : Set α} : s ⊆ t → s ∩ t = s :=
inter_eq_left.mpr
#align set.inter_eq_self_of_subset_left Set.inter_eq_self_of_subset_left
theorem inter_eq_self_of_subset_right {s t : Set α} : t ⊆ s → s ∩ t = t :=
inter_eq_right.mpr
#align set.inter_eq_self_of_subset_right Set.inter_eq_self_of_subset_right
theorem inter_congr_left (ht : s ∩ u ⊆ t) (hu : s ∩ t ⊆ u) : s ∩ t = s ∩ u :=
inf_congr_left ht hu
#align set.inter_congr_left Set.inter_congr_left
theorem inter_congr_right (hs : t ∩ u ⊆ s) (ht : s ∩ u ⊆ t) : s ∩ u = t ∩ u :=
inf_congr_right hs ht
#align set.inter_congr_right Set.inter_congr_right
theorem inter_eq_inter_iff_left : s ∩ t = s ∩ u ↔ s ∩ u ⊆ t ∧ s ∩ t ⊆ u :=
inf_eq_inf_iff_left
#align set.inter_eq_inter_iff_left Set.inter_eq_inter_iff_left
theorem inter_eq_inter_iff_right : s ∩ u = t ∩ u ↔ t ∩ u ⊆ s ∧ s ∩ u ⊆ t :=
inf_eq_inf_iff_right
#align set.inter_eq_inter_iff_right Set.inter_eq_inter_iff_right
@[simp, mfld_simps]
theorem inter_univ (a : Set α) : a ∩ univ = a := inf_top_eq _
#align set.inter_univ Set.inter_univ
@[simp, mfld_simps]
theorem univ_inter (a : Set α) : univ ∩ a = a := top_inf_eq _
#align set.univ_inter Set.univ_inter
@[gcongr]
theorem inter_subset_inter {s₁ s₂ t₁ t₂ : Set α} (h₁ : s₁ ⊆ t₁) (h₂ : s₂ ⊆ t₂) :
s₁ ∩ s₂ ⊆ t₁ ∩ t₂ := fun _ => And.imp (@h₁ _) (@h₂ _)
#align set.inter_subset_inter Set.inter_subset_inter
@[gcongr]
theorem inter_subset_inter_left {s t : Set α} (u : Set α) (H : s ⊆ t) : s ∩ u ⊆ t ∩ u :=
inter_subset_inter H Subset.rfl
#align set.inter_subset_inter_left Set.inter_subset_inter_left
@[gcongr]
theorem inter_subset_inter_right {s t : Set α} (u : Set α) (H : s ⊆ t) : u ∩ s ⊆ u ∩ t :=
inter_subset_inter Subset.rfl H
#align set.inter_subset_inter_right Set.inter_subset_inter_right
theorem union_inter_cancel_left {s t : Set α} : (s ∪ t) ∩ s = s :=
inter_eq_self_of_subset_right subset_union_left
#align set.union_inter_cancel_left Set.union_inter_cancel_left
theorem union_inter_cancel_right {s t : Set α} : (s ∪ t) ∩ t = t :=
inter_eq_self_of_subset_right subset_union_right
#align set.union_inter_cancel_right Set.union_inter_cancel_right
theorem inter_setOf_eq_sep (s : Set α) (p : α → Prop) : s ∩ {a | p a} = {a ∈ s | p a} :=
rfl
#align set.inter_set_of_eq_sep Set.inter_setOf_eq_sep
theorem setOf_inter_eq_sep (p : α → Prop) (s : Set α) : {a | p a} ∩ s = {a ∈ s | p a} :=
inter_comm _ _
#align set.set_of_inter_eq_sep Set.setOf_inter_eq_sep
/-! ### Distributivity laws -/
theorem inter_union_distrib_left (s t u : Set α) : s ∩ (t ∪ u) = s ∩ t ∪ s ∩ u :=
inf_sup_left _ _ _
#align set.inter_distrib_left Set.inter_union_distrib_left
theorem union_inter_distrib_right (s t u : Set α) : (s ∪ t) ∩ u = s ∩ u ∪ t ∩ u :=
inf_sup_right _ _ _
#align set.inter_distrib_right Set.union_inter_distrib_right
theorem union_inter_distrib_left (s t u : Set α) : s ∪ t ∩ u = (s ∪ t) ∩ (s ∪ u) :=
sup_inf_left _ _ _
#align set.union_distrib_left Set.union_inter_distrib_left
theorem inter_union_distrib_right (s t u : Set α) : s ∩ t ∪ u = (s ∪ u) ∩ (t ∪ u) :=
sup_inf_right _ _ _
#align set.union_distrib_right Set.inter_union_distrib_right
-- 2024-03-22
@[deprecated] alias inter_distrib_left := inter_union_distrib_left
@[deprecated] alias inter_distrib_right := union_inter_distrib_right
@[deprecated] alias union_distrib_left := union_inter_distrib_left
@[deprecated] alias union_distrib_right := inter_union_distrib_right
theorem union_union_distrib_left (s t u : Set α) : s ∪ (t ∪ u) = s ∪ t ∪ (s ∪ u) :=
sup_sup_distrib_left _ _ _
#align set.union_union_distrib_left Set.union_union_distrib_left
theorem union_union_distrib_right (s t u : Set α) : s ∪ t ∪ u = s ∪ u ∪ (t ∪ u) :=
sup_sup_distrib_right _ _ _
#align set.union_union_distrib_right Set.union_union_distrib_right
theorem inter_inter_distrib_left (s t u : Set α) : s ∩ (t ∩ u) = s ∩ t ∩ (s ∩ u) :=
inf_inf_distrib_left _ _ _
#align set.inter_inter_distrib_left Set.inter_inter_distrib_left
theorem inter_inter_distrib_right (s t u : Set α) : s ∩ t ∩ u = s ∩ u ∩ (t ∩ u) :=
inf_inf_distrib_right _ _ _
#align set.inter_inter_distrib_right Set.inter_inter_distrib_right
theorem union_union_union_comm (s t u v : Set α) : s ∪ t ∪ (u ∪ v) = s ∪ u ∪ (t ∪ v) :=
sup_sup_sup_comm _ _ _ _
#align set.union_union_union_comm Set.union_union_union_comm
theorem inter_inter_inter_comm (s t u v : Set α) : s ∩ t ∩ (u ∩ v) = s ∩ u ∩ (t ∩ v) :=
inf_inf_inf_comm _ _ _ _
#align set.inter_inter_inter_comm Set.inter_inter_inter_comm
/-!
### Lemmas about `insert`
`insert α s` is the set `{α} ∪ s`.
-/
theorem insert_def (x : α) (s : Set α) : insert x s = { y | y = x ∨ y ∈ s } :=
rfl
#align set.insert_def Set.insert_def
@[simp]
theorem subset_insert (x : α) (s : Set α) : s ⊆ insert x s := fun _ => Or.inr
#align set.subset_insert Set.subset_insert
theorem mem_insert (x : α) (s : Set α) : x ∈ insert x s :=
Or.inl rfl
#align set.mem_insert Set.mem_insert
theorem mem_insert_of_mem {x : α} {s : Set α} (y : α) : x ∈ s → x ∈ insert y s :=
Or.inr
#align set.mem_insert_of_mem Set.mem_insert_of_mem
theorem eq_or_mem_of_mem_insert {x a : α} {s : Set α} : x ∈ insert a s → x = a ∨ x ∈ s :=
id
#align set.eq_or_mem_of_mem_insert Set.eq_or_mem_of_mem_insert
theorem mem_of_mem_insert_of_ne : b ∈ insert a s → b ≠ a → b ∈ s :=
Or.resolve_left
#align set.mem_of_mem_insert_of_ne Set.mem_of_mem_insert_of_ne
theorem eq_of_not_mem_of_mem_insert : b ∈ insert a s → b ∉ s → b = a :=
Or.resolve_right
#align set.eq_of_not_mem_of_mem_insert Set.eq_of_not_mem_of_mem_insert
@[simp]
theorem mem_insert_iff {x a : α} {s : Set α} : x ∈ insert a s ↔ x = a ∨ x ∈ s :=
Iff.rfl
#align set.mem_insert_iff Set.mem_insert_iff
@[simp]
theorem insert_eq_of_mem {a : α} {s : Set α} (h : a ∈ s) : insert a s = s :=
ext fun _ => or_iff_right_of_imp fun e => e.symm ▸ h
#align set.insert_eq_of_mem Set.insert_eq_of_mem
theorem ne_insert_of_not_mem {s : Set α} (t : Set α) {a : α} : a ∉ s → s ≠ insert a t :=
mt fun e => e.symm ▸ mem_insert _ _
#align set.ne_insert_of_not_mem Set.ne_insert_of_not_mem
@[simp]
theorem insert_eq_self : insert a s = s ↔ a ∈ s :=
⟨fun h => h ▸ mem_insert _ _, insert_eq_of_mem⟩
#align set.insert_eq_self Set.insert_eq_self
theorem insert_ne_self : insert a s ≠ s ↔ a ∉ s :=
insert_eq_self.not
#align set.insert_ne_self Set.insert_ne_self
theorem insert_subset_iff : insert a s ⊆ t ↔ a ∈ t ∧ s ⊆ t := by
simp only [subset_def, mem_insert_iff, or_imp, forall_and, forall_eq]
#align set.insert_subset Set.insert_subset_iff
theorem insert_subset (ha : a ∈ t) (hs : s ⊆ t) : insert a s ⊆ t :=
insert_subset_iff.mpr ⟨ha, hs⟩
theorem insert_subset_insert (h : s ⊆ t) : insert a s ⊆ insert a t := fun _ => Or.imp_right (@h _)
#align set.insert_subset_insert Set.insert_subset_insert
@[simp] theorem insert_subset_insert_iff (ha : a ∉ s) : insert a s ⊆ insert a t ↔ s ⊆ t := by
refine ⟨fun h x hx => ?_, insert_subset_insert⟩
rcases h (subset_insert _ _ hx) with (rfl | hxt)
exacts [(ha hx).elim, hxt]
#align set.insert_subset_insert_iff Set.insert_subset_insert_iff
theorem subset_insert_iff_of_not_mem (ha : a ∉ s) : s ⊆ insert a t ↔ s ⊆ t :=
forall₂_congr fun _ hb => or_iff_right <| ne_of_mem_of_not_mem hb ha
#align set.subset_insert_iff_of_not_mem Set.subset_insert_iff_of_not_mem
theorem ssubset_iff_insert {s t : Set α} : s ⊂ t ↔ ∃ a ∉ s, insert a s ⊆ t := by
simp only [insert_subset_iff, exists_and_right, ssubset_def, not_subset]
aesop
#align set.ssubset_iff_insert Set.ssubset_iff_insert
theorem ssubset_insert {s : Set α} {a : α} (h : a ∉ s) : s ⊂ insert a s :=
ssubset_iff_insert.2 ⟨a, h, Subset.rfl⟩
#align set.ssubset_insert Set.ssubset_insert
theorem insert_comm (a b : α) (s : Set α) : insert a (insert b s) = insert b (insert a s) :=
ext fun _ => or_left_comm
#align set.insert_comm Set.insert_comm
-- Porting note (#10618): removing `simp` attribute because `simp` can prove it
theorem insert_idem (a : α) (s : Set α) : insert a (insert a s) = insert a s :=
insert_eq_of_mem <| mem_insert _ _
#align set.insert_idem Set.insert_idem
theorem insert_union : insert a s ∪ t = insert a (s ∪ t) :=
ext fun _ => or_assoc
#align set.insert_union Set.insert_union
@[simp]
theorem union_insert : s ∪ insert a t = insert a (s ∪ t) :=
ext fun _ => or_left_comm
#align set.union_insert Set.union_insert
@[simp]
theorem insert_nonempty (a : α) (s : Set α) : (insert a s).Nonempty :=
⟨a, mem_insert a s⟩
#align set.insert_nonempty Set.insert_nonempty
instance (a : α) (s : Set α) : Nonempty (insert a s : Set α) :=
(insert_nonempty a s).to_subtype
theorem insert_inter_distrib (a : α) (s t : Set α) : insert a (s ∩ t) = insert a s ∩ insert a t :=
ext fun _ => or_and_left
#align set.insert_inter_distrib Set.insert_inter_distrib
theorem insert_union_distrib (a : α) (s t : Set α) : insert a (s ∪ t) = insert a s ∪ insert a t :=
ext fun _ => or_or_distrib_left
#align set.insert_union_distrib Set.insert_union_distrib
theorem insert_inj (ha : a ∉ s) : insert a s = insert b s ↔ a = b :=
⟨fun h => eq_of_not_mem_of_mem_insert (h.subst <| mem_insert a s) ha,
congr_arg (fun x => insert x s)⟩
#align set.insert_inj Set.insert_inj
-- useful in proofs by induction
theorem forall_of_forall_insert {P : α → Prop} {a : α} {s : Set α} (H : ∀ x, x ∈ insert a s → P x)
(x) (h : x ∈ s) : P x :=
H _ (Or.inr h)
#align set.forall_of_forall_insert Set.forall_of_forall_insert
theorem forall_insert_of_forall {P : α → Prop} {a : α} {s : Set α} (H : ∀ x, x ∈ s → P x) (ha : P a)
(x) (h : x ∈ insert a s) : P x :=
h.elim (fun e => e.symm ▸ ha) (H _)
#align set.forall_insert_of_forall Set.forall_insert_of_forall
/- Porting note: ∃ x ∈ insert a s, P x is parsed as ∃ x, x ∈ insert a s ∧ P x,
where in Lean3 it was parsed as `∃ x, ∃ (h : x ∈ insert a s), P x` -/
theorem exists_mem_insert {P : α → Prop} {a : α} {s : Set α} :
(∃ x ∈ insert a s, P x) ↔ (P a ∨ ∃ x ∈ s, P x) := by
simp [mem_insert_iff, or_and_right, exists_and_left, exists_or]
#align set.bex_insert_iff Set.exists_mem_insert
@[deprecated (since := "2024-03-23")] alias bex_insert_iff := exists_mem_insert
theorem forall_mem_insert {P : α → Prop} {a : α} {s : Set α} :
(∀ x ∈ insert a s, P x) ↔ P a ∧ ∀ x ∈ s, P x :=
forall₂_or_left.trans <| and_congr_left' forall_eq
#align set.ball_insert_iff Set.forall_mem_insert
@[deprecated (since := "2024-03-23")] alias ball_insert_iff := forall_mem_insert
/-! ### Lemmas about singletons -/
/- porting note: instance was in core in Lean3 -/
instance : LawfulSingleton α (Set α) :=
⟨fun x => Set.ext fun a => by
simp only [mem_empty_iff_false, mem_insert_iff, or_false]
exact Iff.rfl⟩
theorem singleton_def (a : α) : ({a} : Set α) = insert a ∅ :=
(insert_emptyc_eq a).symm
#align set.singleton_def Set.singleton_def
@[simp]
theorem mem_singleton_iff {a b : α} : a ∈ ({b} : Set α) ↔ a = b :=
Iff.rfl
#align set.mem_singleton_iff Set.mem_singleton_iff
@[simp]
theorem setOf_eq_eq_singleton {a : α} : { n | n = a } = {a} :=
rfl
#align set.set_of_eq_eq_singleton Set.setOf_eq_eq_singleton
@[simp]
theorem setOf_eq_eq_singleton' {a : α} : { x | a = x } = {a} :=
ext fun _ => eq_comm
#align set.set_of_eq_eq_singleton' Set.setOf_eq_eq_singleton'
-- TODO: again, annotation needed
--Porting note (#11119): removed `simp` attribute
theorem mem_singleton (a : α) : a ∈ ({a} : Set α) :=
@rfl _ _
#align set.mem_singleton Set.mem_singleton
theorem eq_of_mem_singleton {x y : α} (h : x ∈ ({y} : Set α)) : x = y :=
h
#align set.eq_of_mem_singleton Set.eq_of_mem_singleton
@[simp]
theorem singleton_eq_singleton_iff {x y : α} : {x} = ({y} : Set α) ↔ x = y :=
ext_iff.trans eq_iff_eq_cancel_left
#align set.singleton_eq_singleton_iff Set.singleton_eq_singleton_iff
theorem singleton_injective : Injective (singleton : α → Set α) := fun _ _ =>
singleton_eq_singleton_iff.mp
#align set.singleton_injective Set.singleton_injective
theorem mem_singleton_of_eq {x y : α} (H : x = y) : x ∈ ({y} : Set α) :=
H
#align set.mem_singleton_of_eq Set.mem_singleton_of_eq
theorem insert_eq (x : α) (s : Set α) : insert x s = ({x} : Set α) ∪ s :=
rfl
#align set.insert_eq Set.insert_eq
@[simp]
theorem singleton_nonempty (a : α) : ({a} : Set α).Nonempty :=
⟨a, rfl⟩
#align set.singleton_nonempty Set.singleton_nonempty
@[simp]
theorem singleton_ne_empty (a : α) : ({a} : Set α) ≠ ∅ :=
(singleton_nonempty _).ne_empty
#align set.singleton_ne_empty Set.singleton_ne_empty
--Porting note (#10618): removed `simp` attribute because `simp` can prove it
theorem empty_ssubset_singleton : (∅ : Set α) ⊂ {a} :=
(singleton_nonempty _).empty_ssubset
#align set.empty_ssubset_singleton Set.empty_ssubset_singleton
@[simp]
theorem singleton_subset_iff {a : α} {s : Set α} : {a} ⊆ s ↔ a ∈ s :=
forall_eq
#align set.singleton_subset_iff Set.singleton_subset_iff
theorem singleton_subset_singleton : ({a} : Set α) ⊆ {b} ↔ a = b := by simp
#align set.singleton_subset_singleton Set.singleton_subset_singleton
theorem set_compr_eq_eq_singleton {a : α} : { b | b = a } = {a} :=
rfl
#align set.set_compr_eq_eq_singleton Set.set_compr_eq_eq_singleton
@[simp]
theorem singleton_union : {a} ∪ s = insert a s :=
rfl
#align set.singleton_union Set.singleton_union
@[simp]
theorem union_singleton : s ∪ {a} = insert a s :=
union_comm _ _
#align set.union_singleton Set.union_singleton
@[simp]
theorem singleton_inter_nonempty : ({a} ∩ s).Nonempty ↔ a ∈ s := by
simp only [Set.Nonempty, mem_inter_iff, mem_singleton_iff, exists_eq_left]
#align set.singleton_inter_nonempty Set.singleton_inter_nonempty
@[simp]
theorem inter_singleton_nonempty : (s ∩ {a}).Nonempty ↔ a ∈ s := by
rw [inter_comm, singleton_inter_nonempty]
#align set.inter_singleton_nonempty Set.inter_singleton_nonempty
@[simp]
theorem singleton_inter_eq_empty : {a} ∩ s = ∅ ↔ a ∉ s :=
not_nonempty_iff_eq_empty.symm.trans singleton_inter_nonempty.not
#align set.singleton_inter_eq_empty Set.singleton_inter_eq_empty
@[simp]
theorem inter_singleton_eq_empty : s ∩ {a} = ∅ ↔ a ∉ s := by
rw [inter_comm, singleton_inter_eq_empty]
#align set.inter_singleton_eq_empty Set.inter_singleton_eq_empty
theorem nmem_singleton_empty {s : Set α} : s ∉ ({∅} : Set (Set α)) ↔ s.Nonempty :=
nonempty_iff_ne_empty.symm
#align set.nmem_singleton_empty Set.nmem_singleton_empty
instance uniqueSingleton (a : α) : Unique (↥({a} : Set α)) :=
⟨⟨⟨a, mem_singleton a⟩⟩, fun ⟨_, h⟩ => Subtype.eq h⟩
#align set.unique_singleton Set.uniqueSingleton
theorem eq_singleton_iff_unique_mem : s = {a} ↔ a ∈ s ∧ ∀ x ∈ s, x = a :=
Subset.antisymm_iff.trans <| and_comm.trans <| and_congr_left' singleton_subset_iff
#align set.eq_singleton_iff_unique_mem Set.eq_singleton_iff_unique_mem
theorem eq_singleton_iff_nonempty_unique_mem : s = {a} ↔ s.Nonempty ∧ ∀ x ∈ s, x = a :=
eq_singleton_iff_unique_mem.trans <|
and_congr_left fun H => ⟨fun h' => ⟨_, h'⟩, fun ⟨x, h⟩ => H x h ▸ h⟩
#align set.eq_singleton_iff_nonempty_unique_mem Set.eq_singleton_iff_nonempty_unique_mem
set_option backward.synthInstance.canonInstances false in -- See https://github.com/leanprover-community/mathlib4/issues/12532
-- while `simp` is capable of proving this, it is not capable of turning the LHS into the RHS.
@[simp]
theorem default_coe_singleton (x : α) : (default : ({x} : Set α)) = ⟨x, rfl⟩ :=
rfl
#align set.default_coe_singleton Set.default_coe_singleton
/-! ### Lemmas about sets defined as `{x ∈ s | p x}`. -/
section Sep
variable {p q : α → Prop} {x : α}
theorem mem_sep (xs : x ∈ s) (px : p x) : x ∈ { x ∈ s | p x } :=
⟨xs, px⟩
#align set.mem_sep Set.mem_sep
@[simp]
theorem sep_mem_eq : { x ∈ s | x ∈ t } = s ∩ t :=
rfl
#align set.sep_mem_eq Set.sep_mem_eq
@[simp]
theorem mem_sep_iff : x ∈ { x ∈ s | p x } ↔ x ∈ s ∧ p x :=
Iff.rfl
#align set.mem_sep_iff Set.mem_sep_iff
theorem sep_ext_iff : { x ∈ s | p x } = { x ∈ s | q x } ↔ ∀ x ∈ s, p x ↔ q x := by
simp_rw [ext_iff, mem_sep_iff, and_congr_right_iff]
#align set.sep_ext_iff Set.sep_ext_iff
theorem sep_eq_of_subset (h : s ⊆ t) : { x ∈ t | x ∈ s } = s :=
inter_eq_self_of_subset_right h
#align set.sep_eq_of_subset Set.sep_eq_of_subset
@[simp]
theorem sep_subset (s : Set α) (p : α → Prop) : { x ∈ s | p x } ⊆ s := fun _ => And.left
#align set.sep_subset Set.sep_subset
@[simp]
theorem sep_eq_self_iff_mem_true : { x ∈ s | p x } = s ↔ ∀ x ∈ s, p x := by
simp_rw [ext_iff, mem_sep_iff, and_iff_left_iff_imp]
#align set.sep_eq_self_iff_mem_true Set.sep_eq_self_iff_mem_true
@[simp]
theorem sep_eq_empty_iff_mem_false : { x ∈ s | p x } = ∅ ↔ ∀ x ∈ s, ¬p x := by
simp_rw [ext_iff, mem_sep_iff, mem_empty_iff_false, iff_false_iff, not_and]
#align set.sep_eq_empty_iff_mem_false Set.sep_eq_empty_iff_mem_false
--Porting note (#10618): removed `simp` attribute because `simp` can prove it
theorem sep_true : { x ∈ s | True } = s :=
inter_univ s
#align set.sep_true Set.sep_true
--Porting note (#10618): removed `simp` attribute because `simp` can prove it
theorem sep_false : { x ∈ s | False } = ∅ :=
inter_empty s
#align set.sep_false Set.sep_false
--Porting note (#10618): removed `simp` attribute because `simp` can prove it
theorem sep_empty (p : α → Prop) : { x ∈ (∅ : Set α) | p x } = ∅ :=
empty_inter {x | p x}
#align set.sep_empty Set.sep_empty
--Porting note (#10618): removed `simp` attribute because `simp` can prove it
theorem sep_univ : { x ∈ (univ : Set α) | p x } = { x | p x } :=
univ_inter {x | p x}
#align set.sep_univ Set.sep_univ
@[simp]
theorem sep_union : { x | (x ∈ s ∨ x ∈ t) ∧ p x } = { x ∈ s | p x } ∪ { x ∈ t | p x } :=
union_inter_distrib_right { x | x ∈ s } { x | x ∈ t } p
#align set.sep_union Set.sep_union
@[simp]
theorem sep_inter : { x | (x ∈ s ∧ x ∈ t) ∧ p x } = { x ∈ s | p x } ∩ { x ∈ t | p x } :=
inter_inter_distrib_right s t {x | p x}
#align set.sep_inter Set.sep_inter
@[simp]
theorem sep_and : { x ∈ s | p x ∧ q x } = { x ∈ s | p x } ∩ { x ∈ s | q x } :=
inter_inter_distrib_left s {x | p x} {x | q x}
#align set.sep_and Set.sep_and
@[simp]
theorem sep_or : { x ∈ s | p x ∨ q x } = { x ∈ s | p x } ∪ { x ∈ s | q x } :=
inter_union_distrib_left s p q
#align set.sep_or Set.sep_or
@[simp]
theorem sep_setOf : { x ∈ { y | p y } | q x } = { x | p x ∧ q x } :=
rfl
#align set.sep_set_of Set.sep_setOf
end Sep
@[simp]
theorem subset_singleton_iff {α : Type*} {s : Set α} {x : α} : s ⊆ {x} ↔ ∀ y ∈ s, y = x :=
Iff.rfl
#align set.subset_singleton_iff Set.subset_singleton_iff
theorem subset_singleton_iff_eq {s : Set α} {x : α} : s ⊆ {x} ↔ s = ∅ ∨ s = {x} := by
obtain rfl | hs := s.eq_empty_or_nonempty
· exact ⟨fun _ => Or.inl rfl, fun _ => empty_subset _⟩
· simp [eq_singleton_iff_nonempty_unique_mem, hs, hs.ne_empty]
#align set.subset_singleton_iff_eq Set.subset_singleton_iff_eq
theorem Nonempty.subset_singleton_iff (h : s.Nonempty) : s ⊆ {a} ↔ s = {a} :=
subset_singleton_iff_eq.trans <| or_iff_right h.ne_empty
#align set.nonempty.subset_singleton_iff Set.Nonempty.subset_singleton_iff
theorem ssubset_singleton_iff {s : Set α} {x : α} : s ⊂ {x} ↔ s = ∅ := by
rw [ssubset_iff_subset_ne, subset_singleton_iff_eq, or_and_right, and_not_self_iff, or_false_iff,
and_iff_left_iff_imp]
exact fun h => h ▸ (singleton_ne_empty _).symm
#align set.ssubset_singleton_iff Set.ssubset_singleton_iff
theorem eq_empty_of_ssubset_singleton {s : Set α} {x : α} (hs : s ⊂ {x}) : s = ∅ :=
ssubset_singleton_iff.1 hs
#align set.eq_empty_of_ssubset_singleton Set.eq_empty_of_ssubset_singleton
theorem eq_of_nonempty_of_subsingleton {α} [Subsingleton α] (s t : Set α) [Nonempty s]
[Nonempty t] : s = t :=
nonempty_of_nonempty_subtype.eq_univ.trans nonempty_of_nonempty_subtype.eq_univ.symm
theorem eq_of_nonempty_of_subsingleton' {α} [Subsingleton α] {s : Set α} (t : Set α)
(hs : s.Nonempty) [Nonempty t] : s = t :=
have := hs.to_subtype; eq_of_nonempty_of_subsingleton s t
set_option backward.synthInstance.canonInstances false in -- See https://github.com/leanprover-community/mathlib4/issues/12532
theorem Nonempty.eq_zero [Subsingleton α] [Zero α] {s : Set α} (h : s.Nonempty) :
s = {0} := eq_of_nonempty_of_subsingleton' {0} h
set_option backward.synthInstance.canonInstances false in -- See https://github.com/leanprover-community/mathlib4/issues/12532
theorem Nonempty.eq_one [Subsingleton α] [One α] {s : Set α} (h : s.Nonempty) :
s = {1} := eq_of_nonempty_of_subsingleton' {1} h
/-! ### Disjointness -/
protected theorem disjoint_iff : Disjoint s t ↔ s ∩ t ⊆ ∅ :=
disjoint_iff_inf_le
#align set.disjoint_iff Set.disjoint_iff
theorem disjoint_iff_inter_eq_empty : Disjoint s t ↔ s ∩ t = ∅ :=
disjoint_iff
#align set.disjoint_iff_inter_eq_empty Set.disjoint_iff_inter_eq_empty
theorem _root_.Disjoint.inter_eq : Disjoint s t → s ∩ t = ∅ :=
Disjoint.eq_bot
#align disjoint.inter_eq Disjoint.inter_eq
theorem disjoint_left : Disjoint s t ↔ ∀ ⦃a⦄, a ∈ s → a ∉ t :=
disjoint_iff_inf_le.trans <| forall_congr' fun _ => not_and
#align set.disjoint_left Set.disjoint_left
theorem disjoint_right : Disjoint s t ↔ ∀ ⦃a⦄, a ∈ t → a ∉ s := by rw [disjoint_comm, disjoint_left]
#align set.disjoint_right Set.disjoint_right
lemma not_disjoint_iff : ¬Disjoint s t ↔ ∃ x, x ∈ s ∧ x ∈ t :=
Set.disjoint_iff.not.trans <| not_forall.trans <| exists_congr fun _ ↦ not_not
#align set.not_disjoint_iff Set.not_disjoint_iff
lemma not_disjoint_iff_nonempty_inter : ¬ Disjoint s t ↔ (s ∩ t).Nonempty := not_disjoint_iff
#align set.not_disjoint_iff_nonempty_inter Set.not_disjoint_iff_nonempty_inter
alias ⟨_, Nonempty.not_disjoint⟩ := not_disjoint_iff_nonempty_inter
#align set.nonempty.not_disjoint Set.Nonempty.not_disjoint
lemma disjoint_or_nonempty_inter (s t : Set α) : Disjoint s t ∨ (s ∩ t).Nonempty :=
(em _).imp_right not_disjoint_iff_nonempty_inter.1
#align set.disjoint_or_nonempty_inter Set.disjoint_or_nonempty_inter
lemma disjoint_iff_forall_ne : Disjoint s t ↔ ∀ ⦃a⦄, a ∈ s → ∀ ⦃b⦄, b ∈ t → a ≠ b := by
simp only [Ne, disjoint_left, @imp_not_comm _ (_ = _), forall_eq']
#align set.disjoint_iff_forall_ne Set.disjoint_iff_forall_ne
alias ⟨_root_.Disjoint.ne_of_mem, _⟩ := disjoint_iff_forall_ne
#align disjoint.ne_of_mem Disjoint.ne_of_mem
lemma disjoint_of_subset_left (h : s ⊆ u) (d : Disjoint u t) : Disjoint s t := d.mono_left h
#align set.disjoint_of_subset_left Set.disjoint_of_subset_left
lemma disjoint_of_subset_right (h : t ⊆ u) (d : Disjoint s u) : Disjoint s t := d.mono_right h
#align set.disjoint_of_subset_right Set.disjoint_of_subset_right
lemma disjoint_of_subset (hs : s₁ ⊆ s₂) (ht : t₁ ⊆ t₂) (h : Disjoint s₂ t₂) : Disjoint s₁ t₁ :=
h.mono hs ht
#align set.disjoint_of_subset Set.disjoint_of_subset
@[simp]
lemma disjoint_union_left : Disjoint (s ∪ t) u ↔ Disjoint s u ∧ Disjoint t u := disjoint_sup_left
#align set.disjoint_union_left Set.disjoint_union_left
@[simp]
lemma disjoint_union_right : Disjoint s (t ∪ u) ↔ Disjoint s t ∧ Disjoint s u := disjoint_sup_right
#align set.disjoint_union_right Set.disjoint_union_right
@[simp] lemma disjoint_empty (s : Set α) : Disjoint s ∅ := disjoint_bot_right
#align set.disjoint_empty Set.disjoint_empty
@[simp] lemma empty_disjoint (s : Set α) : Disjoint ∅ s := disjoint_bot_left
#align set.empty_disjoint Set.empty_disjoint
@[simp] lemma univ_disjoint : Disjoint univ s ↔ s = ∅ := top_disjoint
#align set.univ_disjoint Set.univ_disjoint
@[simp] lemma disjoint_univ : Disjoint s univ ↔ s = ∅ := disjoint_top
#align set.disjoint_univ Set.disjoint_univ
lemma disjoint_sdiff_left : Disjoint (t \ s) s := disjoint_sdiff_self_left
#align set.disjoint_sdiff_left Set.disjoint_sdiff_left
lemma disjoint_sdiff_right : Disjoint s (t \ s) := disjoint_sdiff_self_right
#align set.disjoint_sdiff_right Set.disjoint_sdiff_right
-- TODO: prove this in terms of a lattice lemma
theorem disjoint_sdiff_inter : Disjoint (s \ t) (s ∩ t) :=
disjoint_of_subset_right inter_subset_right disjoint_sdiff_left
#align set.disjoint_sdiff_inter Set.disjoint_sdiff_inter
theorem diff_union_diff_cancel (hts : t ⊆ s) (hut : u ⊆ t) : s \ t ∪ t \ u = s \ u :=
sdiff_sup_sdiff_cancel hts hut
#align set.diff_union_diff_cancel Set.diff_union_diff_cancel
theorem diff_diff_eq_sdiff_union (h : u ⊆ s) : s \ (t \ u) = s \ t ∪ u := sdiff_sdiff_eq_sdiff_sup h
#align set.diff_diff_eq_sdiff_union Set.diff_diff_eq_sdiff_union
@[simp default+1]
lemma disjoint_singleton_left : Disjoint {a} s ↔ a ∉ s := by simp [Set.disjoint_iff, subset_def]
#align set.disjoint_singleton_left Set.disjoint_singleton_left
@[simp]
lemma disjoint_singleton_right : Disjoint s {a} ↔ a ∉ s :=
disjoint_comm.trans disjoint_singleton_left
#align set.disjoint_singleton_right Set.disjoint_singleton_right
lemma disjoint_singleton : Disjoint ({a} : Set α) {b} ↔ a ≠ b := by
simp
#align set.disjoint_singleton Set.disjoint_singleton
lemma subset_diff : s ⊆ t \ u ↔ s ⊆ t ∧ Disjoint s u := le_iff_subset.symm.trans le_sdiff
#align set.subset_diff Set.subset_diff
lemma ssubset_iff_sdiff_singleton : s ⊂ t ↔ ∃ a ∈ t, s ⊆ t \ {a} := by
simp [ssubset_iff_insert, subset_diff, insert_subset_iff]; aesop
theorem inter_diff_distrib_left (s t u : Set α) : s ∩ (t \ u) = (s ∩ t) \ (s ∩ u) :=
inf_sdiff_distrib_left _ _ _
#align set.inter_diff_distrib_left Set.inter_diff_distrib_left
theorem inter_diff_distrib_right (s t u : Set α) : s \ t ∩ u = (s ∩ u) \ (t ∩ u) :=
inf_sdiff_distrib_right _ _ _
#align set.inter_diff_distrib_right Set.inter_diff_distrib_right
/-! ### Lemmas about complement -/
theorem compl_def (s : Set α) : sᶜ = { x | x ∉ s } :=
rfl
#align set.compl_def Set.compl_def
theorem mem_compl {s : Set α} {x : α} (h : x ∉ s) : x ∈ sᶜ :=
h
#align set.mem_compl Set.mem_compl
theorem compl_setOf {α} (p : α → Prop) : { a | p a }ᶜ = { a | ¬p a } :=
rfl
#align set.compl_set_of Set.compl_setOf
theorem not_mem_of_mem_compl {s : Set α} {x : α} (h : x ∈ sᶜ) : x ∉ s :=
h
#align set.not_mem_of_mem_compl Set.not_mem_of_mem_compl
theorem not_mem_compl_iff {x : α} : x ∉ sᶜ ↔ x ∈ s :=
not_not
#align set.not_mem_compl_iff Set.not_mem_compl_iff
@[simp]
theorem inter_compl_self (s : Set α) : s ∩ sᶜ = ∅ :=
inf_compl_eq_bot
#align set.inter_compl_self Set.inter_compl_self
@[simp]
theorem compl_inter_self (s : Set α) : sᶜ ∩ s = ∅ :=
compl_inf_eq_bot
#align set.compl_inter_self Set.compl_inter_self
@[simp]
theorem compl_empty : (∅ : Set α)ᶜ = univ :=
compl_bot
#align set.compl_empty Set.compl_empty
@[simp]
theorem compl_union (s t : Set α) : (s ∪ t)ᶜ = sᶜ ∩ tᶜ :=
compl_sup
#align set.compl_union Set.compl_union
theorem compl_inter (s t : Set α) : (s ∩ t)ᶜ = sᶜ ∪ tᶜ :=
compl_inf
#align set.compl_inter Set.compl_inter
@[simp]
theorem compl_univ : (univ : Set α)ᶜ = ∅ :=
compl_top
#align set.compl_univ Set.compl_univ
@[simp]
theorem compl_empty_iff {s : Set α} : sᶜ = ∅ ↔ s = univ :=
compl_eq_bot
#align set.compl_empty_iff Set.compl_empty_iff
@[simp]
theorem compl_univ_iff {s : Set α} : sᶜ = univ ↔ s = ∅ :=
compl_eq_top
#align set.compl_univ_iff Set.compl_univ_iff
theorem compl_ne_univ : sᶜ ≠ univ ↔ s.Nonempty :=
compl_univ_iff.not.trans nonempty_iff_ne_empty.symm
#align set.compl_ne_univ Set.compl_ne_univ
theorem nonempty_compl : sᶜ.Nonempty ↔ s ≠ univ :=
(ne_univ_iff_exists_not_mem s).symm
#align set.nonempty_compl Set.nonempty_compl
@[simp] lemma nonempty_compl_of_nontrivial [Nontrivial α] (x : α) : Set.Nonempty {x}ᶜ := by
obtain ⟨y, hy⟩ := exists_ne x
exact ⟨y, by simp [hy]⟩
theorem mem_compl_singleton_iff {a x : α} : x ∈ ({a} : Set α)ᶜ ↔ x ≠ a :=
Iff.rfl
#align set.mem_compl_singleton_iff Set.mem_compl_singleton_iff
theorem compl_singleton_eq (a : α) : ({a} : Set α)ᶜ = { x | x ≠ a } :=
rfl
#align set.compl_singleton_eq Set.compl_singleton_eq
@[simp]
theorem compl_ne_eq_singleton (a : α) : ({ x | x ≠ a } : Set α)ᶜ = {a} :=
compl_compl _
#align set.compl_ne_eq_singleton Set.compl_ne_eq_singleton
theorem union_eq_compl_compl_inter_compl (s t : Set α) : s ∪ t = (sᶜ ∩ tᶜ)ᶜ :=
ext fun _ => or_iff_not_and_not
#align set.union_eq_compl_compl_inter_compl Set.union_eq_compl_compl_inter_compl
theorem inter_eq_compl_compl_union_compl (s t : Set α) : s ∩ t = (sᶜ ∪ tᶜ)ᶜ :=
ext fun _ => and_iff_not_or_not
#align set.inter_eq_compl_compl_union_compl Set.inter_eq_compl_compl_union_compl
@[simp]
theorem union_compl_self (s : Set α) : s ∪ sᶜ = univ :=
eq_univ_iff_forall.2 fun _ => em _
#align set.union_compl_self Set.union_compl_self
@[simp]
theorem compl_union_self (s : Set α) : sᶜ ∪ s = univ := by rw [union_comm, union_compl_self]
#align set.compl_union_self Set.compl_union_self
theorem compl_subset_comm : sᶜ ⊆ t ↔ tᶜ ⊆ s :=
@compl_le_iff_compl_le _ s _ _
#align set.compl_subset_comm Set.compl_subset_comm
theorem subset_compl_comm : s ⊆ tᶜ ↔ t ⊆ sᶜ :=
@le_compl_iff_le_compl _ _ _ t
#align set.subset_compl_comm Set.subset_compl_comm
@[simp]
theorem compl_subset_compl : sᶜ ⊆ tᶜ ↔ t ⊆ s :=
@compl_le_compl_iff_le (Set α) _ _ _
#align set.compl_subset_compl Set.compl_subset_compl
@[gcongr] theorem compl_subset_compl_of_subset (h : t ⊆ s) : sᶜ ⊆ tᶜ := compl_subset_compl.2 h
theorem subset_compl_iff_disjoint_left : s ⊆ tᶜ ↔ Disjoint t s :=
@le_compl_iff_disjoint_left (Set α) _ _ _
#align set.subset_compl_iff_disjoint_left Set.subset_compl_iff_disjoint_left
theorem subset_compl_iff_disjoint_right : s ⊆ tᶜ ↔ Disjoint s t :=
@le_compl_iff_disjoint_right (Set α) _ _ _
#align set.subset_compl_iff_disjoint_right Set.subset_compl_iff_disjoint_right
theorem disjoint_compl_left_iff_subset : Disjoint sᶜ t ↔ t ⊆ s :=
disjoint_compl_left_iff
#align set.disjoint_compl_left_iff_subset Set.disjoint_compl_left_iff_subset
theorem disjoint_compl_right_iff_subset : Disjoint s tᶜ ↔ s ⊆ t :=
disjoint_compl_right_iff
#align set.disjoint_compl_right_iff_subset Set.disjoint_compl_right_iff_subset
alias ⟨_, _root_.Disjoint.subset_compl_right⟩ := subset_compl_iff_disjoint_right
#align disjoint.subset_compl_right Disjoint.subset_compl_right
alias ⟨_, _root_.Disjoint.subset_compl_left⟩ := subset_compl_iff_disjoint_left
#align disjoint.subset_compl_left Disjoint.subset_compl_left
alias ⟨_, _root_.HasSubset.Subset.disjoint_compl_left⟩ := disjoint_compl_left_iff_subset
#align has_subset.subset.disjoint_compl_left HasSubset.Subset.disjoint_compl_left
alias ⟨_, _root_.HasSubset.Subset.disjoint_compl_right⟩ := disjoint_compl_right_iff_subset
#align has_subset.subset.disjoint_compl_right HasSubset.Subset.disjoint_compl_right
theorem subset_union_compl_iff_inter_subset {s t u : Set α} : s ⊆ t ∪ uᶜ ↔ s ∩ u ⊆ t :=
(@isCompl_compl _ u _).le_sup_right_iff_inf_left_le
#align set.subset_union_compl_iff_inter_subset Set.subset_union_compl_iff_inter_subset
theorem compl_subset_iff_union {s t : Set α} : sᶜ ⊆ t ↔ s ∪ t = univ :=
Iff.symm <| eq_univ_iff_forall.trans <| forall_congr' fun _ => or_iff_not_imp_left
#align set.compl_subset_iff_union Set.compl_subset_iff_union
@[simp]
theorem subset_compl_singleton_iff {a : α} {s : Set α} : s ⊆ {a}ᶜ ↔ a ∉ s :=
subset_compl_comm.trans singleton_subset_iff
#align set.subset_compl_singleton_iff Set.subset_compl_singleton_iff
theorem inter_subset (a b c : Set α) : a ∩ b ⊆ c ↔ a ⊆ bᶜ ∪ c :=
forall_congr' fun _ => and_imp.trans <| imp_congr_right fun _ => imp_iff_not_or
#align set.inter_subset Set.inter_subset
theorem inter_compl_nonempty_iff {s t : Set α} : (s ∩ tᶜ).Nonempty ↔ ¬s ⊆ t :=
(not_subset.trans <| exists_congr fun x => by simp [mem_compl]).symm
#align set.inter_compl_nonempty_iff Set.inter_compl_nonempty_iff
/-! ### Lemmas about set difference -/
theorem not_mem_diff_of_mem {s t : Set α} {x : α} (hx : x ∈ t) : x ∉ s \ t := fun h => h.2 hx
#align set.not_mem_diff_of_mem Set.not_mem_diff_of_mem
theorem mem_of_mem_diff {s t : Set α} {x : α} (h : x ∈ s \ t) : x ∈ s :=
h.left
#align set.mem_of_mem_diff Set.mem_of_mem_diff
theorem not_mem_of_mem_diff {s t : Set α} {x : α} (h : x ∈ s \ t) : x ∉ t :=
h.right
#align set.not_mem_of_mem_diff Set.not_mem_of_mem_diff
theorem diff_eq_compl_inter {s t : Set α} : s \ t = tᶜ ∩ s := by rw [diff_eq, inter_comm]
#align set.diff_eq_compl_inter Set.diff_eq_compl_inter
theorem nonempty_diff {s t : Set α} : (s \ t).Nonempty ↔ ¬s ⊆ t :=
inter_compl_nonempty_iff
#align set.nonempty_diff Set.nonempty_diff
theorem diff_subset {s t : Set α} : s \ t ⊆ s := show s \ t ≤ s from sdiff_le
#align set.diff_subset Set.diff_subset
theorem diff_subset_compl (s t : Set α) : s \ t ⊆ tᶜ :=
diff_eq_compl_inter ▸ inter_subset_left
theorem union_diff_cancel' {s t u : Set α} (h₁ : s ⊆ t) (h₂ : t ⊆ u) : t ∪ u \ s = u :=
sup_sdiff_cancel' h₁ h₂
#align set.union_diff_cancel' Set.union_diff_cancel'
theorem union_diff_cancel {s t : Set α} (h : s ⊆ t) : s ∪ t \ s = t :=
sup_sdiff_cancel_right h
#align set.union_diff_cancel Set.union_diff_cancel
theorem union_diff_cancel_left {s t : Set α} (h : s ∩ t ⊆ ∅) : (s ∪ t) \ s = t :=
Disjoint.sup_sdiff_cancel_left <| disjoint_iff_inf_le.2 h
#align set.union_diff_cancel_left Set.union_diff_cancel_left
theorem union_diff_cancel_right {s t : Set α} (h : s ∩ t ⊆ ∅) : (s ∪ t) \ t = s :=
Disjoint.sup_sdiff_cancel_right <| disjoint_iff_inf_le.2 h
#align set.union_diff_cancel_right Set.union_diff_cancel_right
@[simp]
theorem union_diff_left {s t : Set α} : (s ∪ t) \ s = t \ s :=
sup_sdiff_left_self
#align set.union_diff_left Set.union_diff_left
@[simp]
theorem union_diff_right {s t : Set α} : (s ∪ t) \ t = s \ t :=
sup_sdiff_right_self
#align set.union_diff_right Set.union_diff_right
theorem union_diff_distrib {s t u : Set α} : (s ∪ t) \ u = s \ u ∪ t \ u :=
sup_sdiff
#align set.union_diff_distrib Set.union_diff_distrib
theorem inter_diff_assoc (a b c : Set α) : (a ∩ b) \ c = a ∩ (b \ c) :=
inf_sdiff_assoc
#align set.inter_diff_assoc Set.inter_diff_assoc
@[simp]
theorem inter_diff_self (a b : Set α) : a ∩ (b \ a) = ∅ :=
inf_sdiff_self_right
#align set.inter_diff_self Set.inter_diff_self
@[simp]
theorem inter_union_diff (s t : Set α) : s ∩ t ∪ s \ t = s :=
sup_inf_sdiff s t
#align set.inter_union_diff Set.inter_union_diff
@[simp]
theorem diff_union_inter (s t : Set α) : s \ t ∪ s ∩ t = s := by
rw [union_comm]
exact sup_inf_sdiff _ _
#align set.diff_union_inter Set.diff_union_inter
@[simp]
theorem inter_union_compl (s t : Set α) : s ∩ t ∪ s ∩ tᶜ = s :=
inter_union_diff _ _
#align set.inter_union_compl Set.inter_union_compl
@[gcongr]
theorem diff_subset_diff {s₁ s₂ t₁ t₂ : Set α} : s₁ ⊆ s₂ → t₂ ⊆ t₁ → s₁ \ t₁ ⊆ s₂ \ t₂ :=
show s₁ ≤ s₂ → t₂ ≤ t₁ → s₁ \ t₁ ≤ s₂ \ t₂ from sdiff_le_sdiff
#align set.diff_subset_diff Set.diff_subset_diff
@[gcongr]
theorem diff_subset_diff_left {s₁ s₂ t : Set α} (h : s₁ ⊆ s₂) : s₁ \ t ⊆ s₂ \ t :=
sdiff_le_sdiff_right ‹s₁ ≤ s₂›
#align set.diff_subset_diff_left Set.diff_subset_diff_left
@[gcongr]
theorem diff_subset_diff_right {s t u : Set α} (h : t ⊆ u) : s \ u ⊆ s \ t :=
sdiff_le_sdiff_left ‹t ≤ u›
#align set.diff_subset_diff_right Set.diff_subset_diff_right
theorem compl_eq_univ_diff (s : Set α) : sᶜ = univ \ s :=
top_sdiff.symm
#align set.compl_eq_univ_diff Set.compl_eq_univ_diff
@[simp]
theorem empty_diff (s : Set α) : (∅ \ s : Set α) = ∅ :=
bot_sdiff
#align set.empty_diff Set.empty_diff
theorem diff_eq_empty {s t : Set α} : s \ t = ∅ ↔ s ⊆ t :=
sdiff_eq_bot_iff
#align set.diff_eq_empty Set.diff_eq_empty
@[simp]
theorem diff_empty {s : Set α} : s \ ∅ = s :=
sdiff_bot
#align set.diff_empty Set.diff_empty
@[simp]
theorem diff_univ (s : Set α) : s \ univ = ∅ :=
diff_eq_empty.2 (subset_univ s)
#align set.diff_univ Set.diff_univ
theorem diff_diff {u : Set α} : (s \ t) \ u = s \ (t ∪ u) :=
sdiff_sdiff_left
#align set.diff_diff Set.diff_diff
-- the following statement contains parentheses to help the reader
theorem diff_diff_comm {s t u : Set α} : (s \ t) \ u = (s \ u) \ t :=
sdiff_sdiff_comm
#align set.diff_diff_comm Set.diff_diff_comm
theorem diff_subset_iff {s t u : Set α} : s \ t ⊆ u ↔ s ⊆ t ∪ u :=
show s \ t ≤ u ↔ s ≤ t ∪ u from sdiff_le_iff
#align set.diff_subset_iff Set.diff_subset_iff
theorem subset_diff_union (s t : Set α) : s ⊆ s \ t ∪ t :=
show s ≤ s \ t ∪ t from le_sdiff_sup
#align set.subset_diff_union Set.subset_diff_union
theorem diff_union_of_subset {s t : Set α} (h : t ⊆ s) : s \ t ∪ t = s :=
Subset.antisymm (union_subset diff_subset h) (subset_diff_union _ _)
#align set.diff_union_of_subset Set.diff_union_of_subset
@[simp]
theorem diff_singleton_subset_iff {x : α} {s t : Set α} : s \ {x} ⊆ t ↔ s ⊆ insert x t := by
rw [← union_singleton, union_comm]
apply diff_subset_iff
#align set.diff_singleton_subset_iff Set.diff_singleton_subset_iff
theorem subset_diff_singleton {x : α} {s t : Set α} (h : s ⊆ t) (hx : x ∉ s) : s ⊆ t \ {x} :=
subset_inter h <| subset_compl_comm.1 <| singleton_subset_iff.2 hx
#align set.subset_diff_singleton Set.subset_diff_singleton
theorem subset_insert_diff_singleton (x : α) (s : Set α) : s ⊆ insert x (s \ {x}) := by
rw [← diff_singleton_subset_iff]
#align set.subset_insert_diff_singleton Set.subset_insert_diff_singleton
theorem diff_subset_comm {s t u : Set α} : s \ t ⊆ u ↔ s \ u ⊆ t :=
show s \ t ≤ u ↔ s \ u ≤ t from sdiff_le_comm
#align set.diff_subset_comm Set.diff_subset_comm
theorem diff_inter {s t u : Set α} : s \ (t ∩ u) = s \ t ∪ s \ u :=
sdiff_inf
#align set.diff_inter Set.diff_inter
theorem diff_inter_diff {s t u : Set α} : s \ t ∩ (s \ u) = s \ (t ∪ u) :=
sdiff_sup.symm
#align set.diff_inter_diff Set.diff_inter_diff
theorem diff_compl : s \ tᶜ = s ∩ t :=
sdiff_compl
#align set.diff_compl Set.diff_compl
theorem diff_diff_right {s t u : Set α} : s \ (t \ u) = s \ t ∪ s ∩ u :=
sdiff_sdiff_right'
#align set.diff_diff_right Set.diff_diff_right
@[simp]
theorem insert_diff_of_mem (s) (h : a ∈ t) : insert a s \ t = s \ t := by
ext
constructor <;> simp (config := { contextual := true }) [or_imp, h]
#align set.insert_diff_of_mem Set.insert_diff_of_mem
theorem insert_diff_of_not_mem (s) (h : a ∉ t) : insert a s \ t = insert a (s \ t) := by
classical
ext x
by_cases h' : x ∈ t
· have : x ≠ a := by
intro H
rw [H] at h'
exact h h'
simp [h, h', this]
· simp [h, h']
#align set.insert_diff_of_not_mem Set.insert_diff_of_not_mem
theorem insert_diff_self_of_not_mem {a : α} {s : Set α} (h : a ∉ s) : insert a s \ {a} = s := by
ext x
simp [and_iff_left_of_imp fun hx : x ∈ s => show x ≠ a from fun hxa => h <| hxa ▸ hx]
#align set.insert_diff_self_of_not_mem Set.insert_diff_self_of_not_mem
@[simp]
theorem insert_diff_eq_singleton {a : α} {s : Set α} (h : a ∉ s) : insert a s \ s = {a} := by
ext
rw [Set.mem_diff, Set.mem_insert_iff, Set.mem_singleton_iff, or_and_right, and_not_self_iff,
or_false_iff, and_iff_left_iff_imp]
rintro rfl
exact h
#align set.insert_diff_eq_singleton Set.insert_diff_eq_singleton
theorem inter_insert_of_mem (h : a ∈ s) : s ∩ insert a t = insert a (s ∩ t) := by
rw [insert_inter_distrib, insert_eq_of_mem h]
#align set.inter_insert_of_mem Set.inter_insert_of_mem
theorem insert_inter_of_mem (h : a ∈ t) : insert a s ∩ t = insert a (s ∩ t) := by
rw [insert_inter_distrib, insert_eq_of_mem h]
#align set.insert_inter_of_mem Set.insert_inter_of_mem
theorem inter_insert_of_not_mem (h : a ∉ s) : s ∩ insert a t = s ∩ t :=
ext fun _ => and_congr_right fun hx => or_iff_right <| ne_of_mem_of_not_mem hx h
#align set.inter_insert_of_not_mem Set.inter_insert_of_not_mem
theorem insert_inter_of_not_mem (h : a ∉ t) : insert a s ∩ t = s ∩ t :=
ext fun _ => and_congr_left fun hx => or_iff_right <| ne_of_mem_of_not_mem hx h
#align set.insert_inter_of_not_mem Set.insert_inter_of_not_mem
@[simp]
theorem union_diff_self {s t : Set α} : s ∪ t \ s = s ∪ t :=
sup_sdiff_self _ _
#align set.union_diff_self Set.union_diff_self
@[simp]
theorem diff_union_self {s t : Set α} : s \ t ∪ t = s ∪ t :=
sdiff_sup_self _ _
#align set.diff_union_self Set.diff_union_self
@[simp]
theorem diff_inter_self {a b : Set α} : b \ a ∩ a = ∅ :=
inf_sdiff_self_left
#align set.diff_inter_self Set.diff_inter_self
@[simp]
theorem diff_inter_self_eq_diff {s t : Set α} : s \ (t ∩ s) = s \ t :=
sdiff_inf_self_right _ _
#align set.diff_inter_self_eq_diff Set.diff_inter_self_eq_diff
@[simp]
theorem diff_self_inter {s t : Set α} : s \ (s ∩ t) = s \ t :=
sdiff_inf_self_left _ _
#align set.diff_self_inter Set.diff_self_inter
@[simp]
theorem diff_singleton_eq_self {a : α} {s : Set α} (h : a ∉ s) : s \ {a} = s :=
sdiff_eq_self_iff_disjoint.2 <| by simp [h]
#align set.diff_singleton_eq_self Set.diff_singleton_eq_self
@[simp]
theorem diff_singleton_sSubset {s : Set α} {a : α} : s \ {a} ⊂ s ↔ a ∈ s :=
sdiff_le.lt_iff_ne.trans <| sdiff_eq_left.not.trans <| by simp
#align set.diff_singleton_ssubset Set.diff_singleton_sSubset
@[simp]
theorem insert_diff_singleton {a : α} {s : Set α} : insert a (s \ {a}) = insert a s := by
simp [insert_eq, union_diff_self, -union_singleton, -singleton_union]
#align set.insert_diff_singleton Set.insert_diff_singleton
theorem insert_diff_singleton_comm (hab : a ≠ b) (s : Set α) :
insert a (s \ {b}) = insert a s \ {b} := by
simp_rw [← union_singleton, union_diff_distrib,
diff_singleton_eq_self (mem_singleton_iff.not.2 hab.symm)]
#align set.insert_diff_singleton_comm Set.insert_diff_singleton_comm
--Porting note (#10618): removed `simp` attribute because `simp` can prove it
theorem diff_self {s : Set α} : s \ s = ∅ :=
sdiff_self
#align set.diff_self Set.diff_self
theorem diff_diff_right_self (s t : Set α) : s \ (s \ t) = s ∩ t :=
sdiff_sdiff_right_self
#align set.diff_diff_right_self Set.diff_diff_right_self
theorem diff_diff_cancel_left {s t : Set α} (h : s ⊆ t) : t \ (t \ s) = s :=
sdiff_sdiff_eq_self h
#align set.diff_diff_cancel_left Set.diff_diff_cancel_left
theorem mem_diff_singleton {x y : α} {s : Set α} : x ∈ s \ {y} ↔ x ∈ s ∧ x ≠ y :=
Iff.rfl
#align set.mem_diff_singleton Set.mem_diff_singleton
theorem mem_diff_singleton_empty {t : Set (Set α)} : s ∈ t \ {∅} ↔ s ∈ t ∧ s.Nonempty :=
mem_diff_singleton.trans <| and_congr_right' nonempty_iff_ne_empty.symm
#align set.mem_diff_singleton_empty Set.mem_diff_singleton_empty
theorem subset_insert_iff {s t : Set α} {x : α} :
s ⊆ insert x t ↔ s ⊆ t ∨ (x ∈ s ∧ s \ {x} ⊆ t) := by
rw [← diff_singleton_subset_iff]
by_cases hx : x ∈ s
· rw [and_iff_right hx, or_iff_right_of_imp diff_subset.trans]
rw [diff_singleton_eq_self hx, or_iff_left_of_imp And.right]
theorem union_eq_diff_union_diff_union_inter (s t : Set α) : s ∪ t = s \ t ∪ t \ s ∪ s ∩ t :=
sup_eq_sdiff_sup_sdiff_sup_inf
#align set.union_eq_diff_union_diff_union_inter Set.union_eq_diff_union_diff_union_inter
/-! ### Lemmas about pairs -/
--Porting note (#10618): removed `simp` attribute because `simp` can prove it
theorem pair_eq_singleton (a : α) : ({a, a} : Set α) = {a} :=
union_self _
#align set.pair_eq_singleton Set.pair_eq_singleton
theorem pair_comm (a b : α) : ({a, b} : Set α) = {b, a} :=
union_comm _ _
#align set.pair_comm Set.pair_comm
theorem pair_eq_pair_iff {x y z w : α} :
({x, y} : Set α) = {z, w} ↔ x = z ∧ y = w ∨ x = w ∧ y = z := by
simp [subset_antisymm_iff, insert_subset_iff]; aesop
#align set.pair_eq_pair_iff Set.pair_eq_pair_iff
theorem pair_diff_left (hne : a ≠ b) : ({a, b} : Set α) \ {a} = {b} := by
rw [insert_diff_of_mem _ (mem_singleton a), diff_singleton_eq_self (by simpa)]
theorem pair_diff_right (hne : a ≠ b) : ({a, b} : Set α) \ {b} = {a} := by
rw [pair_comm, pair_diff_left hne.symm]
theorem pair_subset_iff : {a, b} ⊆ s ↔ a ∈ s ∧ b ∈ s := by
rw [insert_subset_iff, singleton_subset_iff]
theorem pair_subset (ha : a ∈ s) (hb : b ∈ s) : {a, b} ⊆ s :=
pair_subset_iff.2 ⟨ha,hb⟩
theorem subset_pair_iff : s ⊆ {a, b} ↔ ∀ x ∈ s, x = a ∨ x = b := by
simp [subset_def]
theorem subset_pair_iff_eq {x y : α} : s ⊆ {x, y} ↔ s = ∅ ∨ s = {x} ∨ s = {y} ∨ s = {x, y} := by
refine ⟨?_, by rintro (rfl | rfl | rfl | rfl) <;> simp [pair_subset_iff]⟩
rw [subset_insert_iff, subset_singleton_iff_eq, subset_singleton_iff_eq,
← subset_empty_iff (s := s \ {x}), diff_subset_iff, union_empty, subset_singleton_iff_eq]
have h : x ∈ s → {y} = s \ {x} → s = {x,y} := fun h₁ h₂ ↦ by simp [h₁, h₂]
tauto
theorem Nonempty.subset_pair_iff_eq (hs : s.Nonempty) :
s ⊆ {a, b} ↔ s = {a} ∨ s = {b} ∨ s = {a, b} := by
rw [Set.subset_pair_iff_eq, or_iff_right]; exact hs.ne_empty
/-! ### Symmetric difference -/
section
open scoped symmDiff
theorem mem_symmDiff : a ∈ s ∆ t ↔ a ∈ s ∧ a ∉ t ∨ a ∈ t ∧ a ∉ s :=
Iff.rfl
#align set.mem_symm_diff Set.mem_symmDiff
protected theorem symmDiff_def (s t : Set α) : s ∆ t = s \ t ∪ t \ s :=
rfl
#align set.symm_diff_def Set.symmDiff_def
theorem symmDiff_subset_union : s ∆ t ⊆ s ∪ t :=
@symmDiff_le_sup (Set α) _ _ _
#align set.symm_diff_subset_union Set.symmDiff_subset_union
@[simp]
theorem symmDiff_eq_empty : s ∆ t = ∅ ↔ s = t :=
symmDiff_eq_bot
#align set.symm_diff_eq_empty Set.symmDiff_eq_empty
@[simp]
theorem symmDiff_nonempty : (s ∆ t).Nonempty ↔ s ≠ t :=
nonempty_iff_ne_empty.trans symmDiff_eq_empty.not
#align set.symm_diff_nonempty Set.symmDiff_nonempty
theorem inter_symmDiff_distrib_left (s t u : Set α) : s ∩ t ∆ u = (s ∩ t) ∆ (s ∩ u) :=
inf_symmDiff_distrib_left _ _ _
#align set.inter_symm_diff_distrib_left Set.inter_symmDiff_distrib_left
theorem inter_symmDiff_distrib_right (s t u : Set α) : s ∆ t ∩ u = (s ∩ u) ∆ (t ∩ u) :=
inf_symmDiff_distrib_right _ _ _
#align set.inter_symm_diff_distrib_right Set.inter_symmDiff_distrib_right
theorem subset_symmDiff_union_symmDiff_left (h : Disjoint s t) : u ⊆ s ∆ u ∪ t ∆ u :=
h.le_symmDiff_sup_symmDiff_left
#align set.subset_symm_diff_union_symm_diff_left Set.subset_symmDiff_union_symmDiff_left
theorem subset_symmDiff_union_symmDiff_right (h : Disjoint t u) : s ⊆ s ∆ t ∪ s ∆ u :=
h.le_symmDiff_sup_symmDiff_right
#align set.subset_symm_diff_union_symm_diff_right Set.subset_symmDiff_union_symmDiff_right
end
/-! ### Powerset -/
#align set.powerset Set.powerset
theorem mem_powerset {x s : Set α} (h : x ⊆ s) : x ∈ 𝒫 s := @h
#align set.mem_powerset Set.mem_powerset
theorem subset_of_mem_powerset {x s : Set α} (h : x ∈ 𝒫 s) : x ⊆ s := @h
#align set.subset_of_mem_powerset Set.subset_of_mem_powerset
@[simp]
theorem mem_powerset_iff (x s : Set α) : x ∈ 𝒫 s ↔ x ⊆ s :=
Iff.rfl
#align set.mem_powerset_iff Set.mem_powerset_iff
theorem powerset_inter (s t : Set α) : 𝒫(s ∩ t) = 𝒫 s ∩ 𝒫 t :=
ext fun _ => subset_inter_iff
#align set.powerset_inter Set.powerset_inter
@[simp]
theorem powerset_mono : 𝒫 s ⊆ 𝒫 t ↔ s ⊆ t :=
⟨fun h => @h _ (fun _ h => h), fun h _ hu _ ha => h (hu ha)⟩
#align set.powerset_mono Set.powerset_mono
theorem monotone_powerset : Monotone (powerset : Set α → Set (Set α)) := fun _ _ => powerset_mono.2
#align set.monotone_powerset Set.monotone_powerset
@[simp]
theorem powerset_nonempty : (𝒫 s).Nonempty :=
⟨∅, fun _ h => empty_subset s h⟩
#align set.powerset_nonempty Set.powerset_nonempty
@[simp]
theorem powerset_empty : 𝒫(∅ : Set α) = {∅} :=
ext fun _ => subset_empty_iff
#align set.powerset_empty Set.powerset_empty
@[simp]
theorem powerset_univ : 𝒫(univ : Set α) = univ :=
eq_univ_of_forall subset_univ
#align set.powerset_univ Set.powerset_univ
/-- The powerset of a singleton contains only `∅` and the singleton itself. -/
theorem powerset_singleton (x : α) : 𝒫({x} : Set α) = {∅, {x}} := by
ext y
rw [mem_powerset_iff, subset_singleton_iff_eq, mem_insert_iff, mem_singleton_iff]
#align set.powerset_singleton Set.powerset_singleton
/-! ### Sets defined as an if-then-else -/
theorem mem_dite (p : Prop) [Decidable p] (s : p → Set α) (t : ¬ p → Set α) (x : α) :
(x ∈ if h : p then s h else t h) ↔ (∀ h : p, x ∈ s h) ∧ ∀ h : ¬p, x ∈ t h := by
split_ifs with hp
· exact ⟨fun hx => ⟨fun _ => hx, fun hnp => (hnp hp).elim⟩, fun hx => hx.1 hp⟩
· exact ⟨fun hx => ⟨fun h => (hp h).elim, fun _ => hx⟩, fun hx => hx.2 hp⟩
theorem mem_dite_univ_right (p : Prop) [Decidable p] (t : p → Set α) (x : α) :
(x ∈ if h : p then t h else univ) ↔ ∀ h : p, x ∈ t h := by
split_ifs <;> simp_all
#align set.mem_dite_univ_right Set.mem_dite_univ_right
@[simp]
theorem mem_ite_univ_right (p : Prop) [Decidable p] (t : Set α) (x : α) :
x ∈ ite p t Set.univ ↔ p → x ∈ t :=
mem_dite_univ_right p (fun _ => t) x
#align set.mem_ite_univ_right Set.mem_ite_univ_right
theorem mem_dite_univ_left (p : Prop) [Decidable p] (t : ¬p → Set α) (x : α) :
(x ∈ if h : p then univ else t h) ↔ ∀ h : ¬p, x ∈ t h := by
split_ifs <;> simp_all
#align set.mem_dite_univ_left Set.mem_dite_univ_left
@[simp]
theorem mem_ite_univ_left (p : Prop) [Decidable p] (t : Set α) (x : α) :
x ∈ ite p Set.univ t ↔ ¬p → x ∈ t :=
mem_dite_univ_left p (fun _ => t) x
#align set.mem_ite_univ_left Set.mem_ite_univ_left
theorem mem_dite_empty_right (p : Prop) [Decidable p] (t : p → Set α) (x : α) :
(x ∈ if h : p then t h else ∅) ↔ ∃ h : p, x ∈ t h := by
simp only [mem_dite, mem_empty_iff_false, imp_false, not_not]
exact ⟨fun h => ⟨h.2, h.1 h.2⟩, fun ⟨h₁, h₂⟩ => ⟨fun _ => h₂, h₁⟩⟩
#align set.mem_dite_empty_right Set.mem_dite_empty_right
@[simp]
theorem mem_ite_empty_right (p : Prop) [Decidable p] (t : Set α) (x : α) :
x ∈ ite p t ∅ ↔ p ∧ x ∈ t :=
(mem_dite_empty_right p (fun _ => t) x).trans (by simp)
#align set.mem_ite_empty_right Set.mem_ite_empty_right
theorem mem_dite_empty_left (p : Prop) [Decidable p] (t : ¬p → Set α) (x : α) :
(x ∈ if h : p then ∅ else t h) ↔ ∃ h : ¬p, x ∈ t h := by
simp only [mem_dite, mem_empty_iff_false, imp_false]
exact ⟨fun h => ⟨h.1, h.2 h.1⟩, fun ⟨h₁, h₂⟩ => ⟨fun h => h₁ h, fun _ => h₂⟩⟩
#align set.mem_dite_empty_left Set.mem_dite_empty_left
@[simp]
theorem mem_ite_empty_left (p : Prop) [Decidable p] (t : Set α) (x : α) :
x ∈ ite p ∅ t ↔ ¬p ∧ x ∈ t :=
(mem_dite_empty_left p (fun _ => t) x).trans (by simp)
#align set.mem_ite_empty_left Set.mem_ite_empty_left
/-! ### If-then-else for sets -/
/-- `ite` for sets: `Set.ite t s s' ∩ t = s ∩ t`, `Set.ite t s s' ∩ tᶜ = s' ∩ tᶜ`.
Defined as `s ∩ t ∪ s' \ t`. -/
protected def ite (t s s' : Set α) : Set α :=
s ∩ t ∪ s' \ t
#align set.ite Set.ite
@[simp]
theorem ite_inter_self (t s s' : Set α) : t.ite s s' ∩ t = s ∩ t := by
rw [Set.ite, union_inter_distrib_right, diff_inter_self, inter_assoc, inter_self, union_empty]
#align set.ite_inter_self Set.ite_inter_self
@[simp]
theorem ite_compl (t s s' : Set α) : tᶜ.ite s s' = t.ite s' s := by
rw [Set.ite, Set.ite, diff_compl, union_comm, diff_eq]
#align set.ite_compl Set.ite_compl
@[simp]
theorem ite_inter_compl_self (t s s' : Set α) : t.ite s s' ∩ tᶜ = s' ∩ tᶜ := by
rw [← ite_compl, ite_inter_self]
#align set.ite_inter_compl_self Set.ite_inter_compl_self
@[simp]
theorem ite_diff_self (t s s' : Set α) : t.ite s s' \ t = s' \ t :=
ite_inter_compl_self t s s'
#align set.ite_diff_self Set.ite_diff_self
@[simp]
theorem ite_same (t s : Set α) : t.ite s s = s :=
inter_union_diff _ _
#align set.ite_same Set.ite_same
@[simp]
theorem ite_left (s t : Set α) : s.ite s t = s ∪ t := by simp [Set.ite]
#align set.ite_left Set.ite_left
@[simp]
| Mathlib/Data/Set/Basic.lean | 2,295 | 2,295 | theorem ite_right (s t : Set α) : s.ite t s = t ∩ s := by | simp [Set.ite]
|
/-
Copyright (c) 2021 Yaël Dillies. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yaël Dillies
-/
import Mathlib.Order.Interval.Finset.Basic
#align_import data.multiset.locally_finite from "leanprover-community/mathlib"@"59694bd07f0a39c5beccba34bd9f413a160782bf"
/-!
# Intervals as multisets
This file defines intervals as multisets.
## Main declarations
In a `LocallyFiniteOrder`,
* `Multiset.Icc`: Closed-closed interval as a multiset.
* `Multiset.Ico`: Closed-open interval as a multiset.
* `Multiset.Ioc`: Open-closed interval as a multiset.
* `Multiset.Ioo`: Open-open interval as a multiset.
In a `LocallyFiniteOrderTop`,
* `Multiset.Ici`: Closed-infinite interval as a multiset.
* `Multiset.Ioi`: Open-infinite interval as a multiset.
In a `LocallyFiniteOrderBot`,
* `Multiset.Iic`: Infinite-open interval as a multiset.
* `Multiset.Iio`: Infinite-closed interval as a multiset.
## TODO
Do we really need this file at all? (March 2024)
-/
variable {α : Type*}
namespace Multiset
section LocallyFiniteOrder
variable [Preorder α] [LocallyFiniteOrder α] {a b x : α}
/-- The multiset of elements `x` such that `a ≤ x` and `x ≤ b`. Basically `Set.Icc a b` as a
multiset. -/
def Icc (a b : α) : Multiset α := (Finset.Icc a b).val
#align multiset.Icc Multiset.Icc
/-- The multiset of elements `x` such that `a ≤ x` and `x < b`. Basically `Set.Ico a b` as a
multiset. -/
def Ico (a b : α) : Multiset α := (Finset.Ico a b).val
#align multiset.Ico Multiset.Ico
/-- The multiset of elements `x` such that `a < x` and `x ≤ b`. Basically `Set.Ioc a b` as a
multiset. -/
def Ioc (a b : α) : Multiset α := (Finset.Ioc a b).val
#align multiset.Ioc Multiset.Ioc
/-- The multiset of elements `x` such that `a < x` and `x < b`. Basically `Set.Ioo a b` as a
multiset. -/
def Ioo (a b : α) : Multiset α := (Finset.Ioo a b).val
#align multiset.Ioo Multiset.Ioo
@[simp] lemma mem_Icc : x ∈ Icc a b ↔ a ≤ x ∧ x ≤ b := by rw [Icc, ← Finset.mem_def, Finset.mem_Icc]
#align multiset.mem_Icc Multiset.mem_Icc
@[simp] lemma mem_Ico : x ∈ Ico a b ↔ a ≤ x ∧ x < b := by rw [Ico, ← Finset.mem_def, Finset.mem_Ico]
#align multiset.mem_Ico Multiset.mem_Ico
@[simp] lemma mem_Ioc : x ∈ Ioc a b ↔ a < x ∧ x ≤ b := by rw [Ioc, ← Finset.mem_def, Finset.mem_Ioc]
#align multiset.mem_Ioc Multiset.mem_Ioc
@[simp] lemma mem_Ioo : x ∈ Ioo a b ↔ a < x ∧ x < b := by rw [Ioo, ← Finset.mem_def, Finset.mem_Ioo]
#align multiset.mem_Ioo Multiset.mem_Ioo
end LocallyFiniteOrder
section LocallyFiniteOrderTop
variable [Preorder α] [LocallyFiniteOrderTop α] {a x : α}
/-- The multiset of elements `x` such that `a ≤ x`. Basically `Set.Ici a` as a multiset. -/
def Ici (a : α) : Multiset α := (Finset.Ici a).val
#align multiset.Ici Multiset.Ici
/-- The multiset of elements `x` such that `a < x`. Basically `Set.Ioi a` as a multiset. -/
def Ioi (a : α) : Multiset α := (Finset.Ioi a).val
#align multiset.Ioi Multiset.Ioi
@[simp] lemma mem_Ici : x ∈ Ici a ↔ a ≤ x := by rw [Ici, ← Finset.mem_def, Finset.mem_Ici]
#align multiset.mem_Ici Multiset.mem_Ici
@[simp] lemma mem_Ioi : x ∈ Ioi a ↔ a < x := by rw [Ioi, ← Finset.mem_def, Finset.mem_Ioi]
#align multiset.mem_Ioi Multiset.mem_Ioi
end LocallyFiniteOrderTop
section LocallyFiniteOrderBot
variable [Preorder α] [LocallyFiniteOrderBot α] {b x : α}
/-- The multiset of elements `x` such that `x ≤ b`. Basically `Set.Iic b` as a multiset. -/
def Iic (b : α) : Multiset α := (Finset.Iic b).val
#align multiset.Iic Multiset.Iic
/-- The multiset of elements `x` such that `x < b`. Basically `Set.Iio b` as a multiset. -/
def Iio (b : α) : Multiset α := (Finset.Iio b).val
#align multiset.Iio Multiset.Iio
@[simp] lemma mem_Iic : x ∈ Iic b ↔ x ≤ b := by rw [Iic, ← Finset.mem_def, Finset.mem_Iic]
#align multiset.mem_Iic Multiset.mem_Iic
@[simp] lemma mem_Iio : x ∈ Iio b ↔ x < b := by rw [Iio, ← Finset.mem_def, Finset.mem_Iio]
#align multiset.mem_Iio Multiset.mem_Iio
end LocallyFiniteOrderBot
section Preorder
variable [Preorder α] [LocallyFiniteOrder α] {a b c : α}
theorem nodup_Icc : (Icc a b).Nodup :=
Finset.nodup _
#align multiset.nodup_Icc Multiset.nodup_Icc
theorem nodup_Ico : (Ico a b).Nodup :=
Finset.nodup _
#align multiset.nodup_Ico Multiset.nodup_Ico
theorem nodup_Ioc : (Ioc a b).Nodup :=
Finset.nodup _
#align multiset.nodup_Ioc Multiset.nodup_Ioc
theorem nodup_Ioo : (Ioo a b).Nodup :=
Finset.nodup _
#align multiset.nodup_Ioo Multiset.nodup_Ioo
@[simp]
theorem Icc_eq_zero_iff : Icc a b = 0 ↔ ¬a ≤ b := by
rw [Icc, Finset.val_eq_zero, Finset.Icc_eq_empty_iff]
#align multiset.Icc_eq_zero_iff Multiset.Icc_eq_zero_iff
@[simp]
theorem Ico_eq_zero_iff : Ico a b = 0 ↔ ¬a < b := by
rw [Ico, Finset.val_eq_zero, Finset.Ico_eq_empty_iff]
#align multiset.Ico_eq_zero_iff Multiset.Ico_eq_zero_iff
@[simp]
theorem Ioc_eq_zero_iff : Ioc a b = 0 ↔ ¬a < b := by
rw [Ioc, Finset.val_eq_zero, Finset.Ioc_eq_empty_iff]
#align multiset.Ioc_eq_zero_iff Multiset.Ioc_eq_zero_iff
@[simp]
theorem Ioo_eq_zero_iff [DenselyOrdered α] : Ioo a b = 0 ↔ ¬a < b := by
rw [Ioo, Finset.val_eq_zero, Finset.Ioo_eq_empty_iff]
#align multiset.Ioo_eq_zero_iff Multiset.Ioo_eq_zero_iff
alias ⟨_, Icc_eq_zero⟩ := Icc_eq_zero_iff
#align multiset.Icc_eq_zero Multiset.Icc_eq_zero
alias ⟨_, Ico_eq_zero⟩ := Ico_eq_zero_iff
#align multiset.Ico_eq_zero Multiset.Ico_eq_zero
alias ⟨_, Ioc_eq_zero⟩ := Ioc_eq_zero_iff
#align multiset.Ioc_eq_zero Multiset.Ioc_eq_zero
@[simp]
theorem Ioo_eq_zero (h : ¬a < b) : Ioo a b = 0 :=
eq_zero_iff_forall_not_mem.2 fun _x hx => h ((mem_Ioo.1 hx).1.trans (mem_Ioo.1 hx).2)
#align multiset.Ioo_eq_zero Multiset.Ioo_eq_zero
@[simp]
theorem Icc_eq_zero_of_lt (h : b < a) : Icc a b = 0 :=
Icc_eq_zero h.not_le
#align multiset.Icc_eq_zero_of_lt Multiset.Icc_eq_zero_of_lt
@[simp]
theorem Ico_eq_zero_of_le (h : b ≤ a) : Ico a b = 0 :=
Ico_eq_zero h.not_lt
#align multiset.Ico_eq_zero_of_le Multiset.Ico_eq_zero_of_le
@[simp]
theorem Ioc_eq_zero_of_le (h : b ≤ a) : Ioc a b = 0 :=
Ioc_eq_zero h.not_lt
#align multiset.Ioc_eq_zero_of_le Multiset.Ioc_eq_zero_of_le
@[simp]
theorem Ioo_eq_zero_of_le (h : b ≤ a) : Ioo a b = 0 :=
Ioo_eq_zero h.not_lt
#align multiset.Ioo_eq_zero_of_le Multiset.Ioo_eq_zero_of_le
variable (a)
-- Porting note (#10618): simp can prove this -- @[simp]
theorem Ico_self : Ico a a = 0 := by rw [Ico, Finset.Ico_self, Finset.empty_val]
#align multiset.Ico_self Multiset.Ico_self
-- Porting note (#10618): simp can prove this -- @[simp]
theorem Ioc_self : Ioc a a = 0 := by rw [Ioc, Finset.Ioc_self, Finset.empty_val]
#align multiset.Ioc_self Multiset.Ioc_self
-- Porting note (#10618): simp can prove this -- @[simp]
theorem Ioo_self : Ioo a a = 0 := by rw [Ioo, Finset.Ioo_self, Finset.empty_val]
#align multiset.Ioo_self Multiset.Ioo_self
variable {a}
theorem left_mem_Icc : a ∈ Icc a b ↔ a ≤ b :=
Finset.left_mem_Icc
#align multiset.left_mem_Icc Multiset.left_mem_Icc
theorem left_mem_Ico : a ∈ Ico a b ↔ a < b :=
Finset.left_mem_Ico
#align multiset.left_mem_Ico Multiset.left_mem_Ico
theorem right_mem_Icc : b ∈ Icc a b ↔ a ≤ b :=
Finset.right_mem_Icc
#align multiset.right_mem_Icc Multiset.right_mem_Icc
theorem right_mem_Ioc : b ∈ Ioc a b ↔ a < b :=
Finset.right_mem_Ioc
#align multiset.right_mem_Ioc Multiset.right_mem_Ioc
-- Porting note (#10618): simp can prove this -- @[simp]
theorem left_not_mem_Ioc : a ∉ Ioc a b :=
Finset.left_not_mem_Ioc
#align multiset.left_not_mem_Ioc Multiset.left_not_mem_Ioc
-- Porting note (#10618): simp can prove this -- @[simp]
theorem left_not_mem_Ioo : a ∉ Ioo a b :=
Finset.left_not_mem_Ioo
#align multiset.left_not_mem_Ioo Multiset.left_not_mem_Ioo
-- Porting note (#10618): simp can prove this -- @[simp]
theorem right_not_mem_Ico : b ∉ Ico a b :=
Finset.right_not_mem_Ico
#align multiset.right_not_mem_Ico Multiset.right_not_mem_Ico
-- Porting note (#10618): simp can prove this -- @[simp]
theorem right_not_mem_Ioo : b ∉ Ioo a b :=
Finset.right_not_mem_Ioo
#align multiset.right_not_mem_Ioo Multiset.right_not_mem_Ioo
theorem Ico_filter_lt_of_le_left [DecidablePred (· < c)] (hca : c ≤ a) :
((Ico a b).filter fun x => x < c) = ∅ := by
rw [Ico, ← Finset.filter_val, Finset.Ico_filter_lt_of_le_left hca]
rfl
#align multiset.Ico_filter_lt_of_le_left Multiset.Ico_filter_lt_of_le_left
theorem Ico_filter_lt_of_right_le [DecidablePred (· < c)] (hbc : b ≤ c) :
((Ico a b).filter fun x => x < c) = Ico a b := by
rw [Ico, ← Finset.filter_val, Finset.Ico_filter_lt_of_right_le hbc]
#align multiset.Ico_filter_lt_of_right_le Multiset.Ico_filter_lt_of_right_le
theorem Ico_filter_lt_of_le_right [DecidablePred (· < c)] (hcb : c ≤ b) :
((Ico a b).filter fun x => x < c) = Ico a c := by
rw [Ico, ← Finset.filter_val, Finset.Ico_filter_lt_of_le_right hcb]
rfl
#align multiset.Ico_filter_lt_of_le_right Multiset.Ico_filter_lt_of_le_right
theorem Ico_filter_le_of_le_left [DecidablePred (c ≤ ·)] (hca : c ≤ a) :
((Ico a b).filter fun x => c ≤ x) = Ico a b := by
rw [Ico, ← Finset.filter_val, Finset.Ico_filter_le_of_le_left hca]
#align multiset.Ico_filter_le_of_le_left Multiset.Ico_filter_le_of_le_left
theorem Ico_filter_le_of_right_le [DecidablePred (b ≤ ·)] :
((Ico a b).filter fun x => b ≤ x) = ∅ := by
rw [Ico, ← Finset.filter_val, Finset.Ico_filter_le_of_right_le]
rfl
#align multiset.Ico_filter_le_of_right_le Multiset.Ico_filter_le_of_right_le
theorem Ico_filter_le_of_left_le [DecidablePred (c ≤ ·)] (hac : a ≤ c) :
((Ico a b).filter fun x => c ≤ x) = Ico c b := by
rw [Ico, ← Finset.filter_val, Finset.Ico_filter_le_of_left_le hac]
rfl
#align multiset.Ico_filter_le_of_left_le Multiset.Ico_filter_le_of_left_le
end Preorder
section PartialOrder
variable [PartialOrder α] [LocallyFiniteOrder α] {a b : α}
@[simp]
theorem Icc_self (a : α) : Icc a a = {a} := by rw [Icc, Finset.Icc_self, Finset.singleton_val]
#align multiset.Icc_self Multiset.Icc_self
| Mathlib/Order/Interval/Multiset.lean | 287 | 290 | theorem Ico_cons_right (h : a ≤ b) : b ::ₘ Ico a b = Icc a b := by |
classical
rw [Ico, ← Finset.insert_val_of_not_mem right_not_mem_Ico, Finset.Ico_insert_right h]
rfl
|
/-
Copyright (c) 2022 Markus Himmel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Markus Himmel
-/
import Mathlib.Data.Opposite
import Mathlib.Data.Set.Defs
#align_import data.set.opposite from "leanprover-community/mathlib"@"fc2ed6f838ce7c9b7c7171e58d78eaf7b438fb0e"
/-!
# The opposite of a set
The opposite of a set `s` is simply the set obtained by taking the opposite of each member of `s`.
-/
variable {α : Type*}
open Opposite
namespace Set
/-- The opposite of a set `s` is the set obtained by taking the opposite of each member of `s`. -/
protected def op (s : Set α) : Set αᵒᵖ :=
unop ⁻¹' s
#align set.op Set.op
/-- The unop of a set `s` is the set obtained by taking the unop of each member of `s`. -/
protected def unop (s : Set αᵒᵖ) : Set α :=
op ⁻¹' s
#align set.unop Set.unop
@[simp]
theorem mem_op {s : Set α} {a : αᵒᵖ} : a ∈ s.op ↔ unop a ∈ s :=
Iff.rfl
#align set.mem_op Set.mem_op
@[simp 1100]
theorem op_mem_op {s : Set α} {a : α} : op a ∈ s.op ↔ a ∈ s := by rfl
#align set.op_mem_op Set.op_mem_op
@[simp]
theorem mem_unop {s : Set αᵒᵖ} {a : α} : a ∈ s.unop ↔ op a ∈ s :=
Iff.rfl
#align set.mem_unop Set.mem_unop
@[simp 1100]
theorem unop_mem_unop {s : Set αᵒᵖ} {a : αᵒᵖ} : unop a ∈ s.unop ↔ a ∈ s := by rfl
#align set.unop_mem_unop Set.unop_mem_unop
@[simp]
theorem op_unop (s : Set α) : s.op.unop = s := rfl
#align set.op_unop Set.op_unop
@[simp]
theorem unop_op (s : Set αᵒᵖ) : s.unop.op = s := rfl
#align set.unop_op Set.unop_op
/-- The members of the opposite of a set are in bijection with the members of the set itself. -/
@[simps]
def opEquiv_self (s : Set α) : s.op ≃ s :=
⟨fun x ↦ ⟨unop x, x.2⟩, fun x ↦ ⟨op x, x.2⟩, fun _ ↦ rfl, fun _ ↦ rfl⟩
#align set.op_equiv_self Set.opEquiv_self
#align set.op_equiv_self_apply_coe Set.opEquiv_self_apply_coe
#align set.op_equiv_self_symm_apply_coe Set.opEquiv_self_symm_apply_coe
/-- Taking opposites as an equivalence of powersets. -/
@[simps]
def opEquiv : Set α ≃ Set αᵒᵖ :=
⟨Set.op, Set.unop, op_unop, unop_op⟩
#align set.op_equiv Set.opEquiv
#align set.op_equiv_symm_apply Set.opEquiv_symm_apply
#align set.op_equiv_apply Set.opEquiv_apply
@[simp]
theorem singleton_op (x : α) : ({x} : Set α).op = {op x} := by
ext
constructor
· apply unop_injective
· apply op_injective
#align set.singleton_op Set.singleton_op
@[simp]
theorem singleton_unop (x : αᵒᵖ) : ({x} : Set αᵒᵖ).unop = {unop x} := by
ext
constructor
· apply op_injective
· apply unop_injective
#align set.singleton_unop Set.singleton_unop
@[simp 1100]
| Mathlib/Data/Set/Opposite.lean | 92 | 96 | theorem singleton_op_unop (x : α) : ({op x} : Set αᵒᵖ).unop = {x} := by |
ext
constructor
· apply op_injective
· apply unop_injective
|
/-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Devon Tuma
-/
import Mathlib.Probability.ProbabilityMassFunction.Monad
#align_import probability.probability_mass_function.constructions from "leanprover-community/mathlib"@"4ac69b290818724c159de091daa3acd31da0ee6d"
/-!
# Specific Constructions of Probability Mass Functions
This file gives a number of different `PMF` constructions for common probability distributions.
`map` and `seq` allow pushing a `PMF α` along a function `f : α → β` (or distribution of
functions `f : PMF (α → β)`) to get a `PMF β`.
`ofFinset` and `ofFintype` simplify the construction of a `PMF α` from a function `f : α → ℝ≥0∞`,
by allowing the "sum equals 1" constraint to be in terms of `Finset.sum` instead of `tsum`.
`normalize` constructs a `PMF α` by normalizing a function `f : α → ℝ≥0∞` by its sum,
and `filter` uses this to filter the support of a `PMF` and re-normalize the new distribution.
`bernoulli` represents the bernoulli distribution on `Bool`.
-/
universe u
namespace PMF
noncomputable section
variable {α β γ : Type*}
open scoped Classical
open NNReal ENNReal
section Map
/-- The functorial action of a function on a `PMF`. -/
def map (f : α → β) (p : PMF α) : PMF β :=
bind p (pure ∘ f)
#align pmf.map PMF.map
variable (f : α → β) (p : PMF α) (b : β)
theorem monad_map_eq_map {α β : Type u} (f : α → β) (p : PMF α) : f <$> p = p.map f := rfl
#align pmf.monad_map_eq_map PMF.monad_map_eq_map
@[simp]
theorem map_apply : (map f p) b = ∑' a, if b = f a then p a else 0 := by simp [map]
#align pmf.map_apply PMF.map_apply
@[simp]
theorem support_map : (map f p).support = f '' p.support :=
Set.ext fun b => by simp [map, @eq_comm β b]
#align pmf.support_map PMF.support_map
theorem mem_support_map_iff : b ∈ (map f p).support ↔ ∃ a ∈ p.support, f a = b := by simp
#align pmf.mem_support_map_iff PMF.mem_support_map_iff
theorem bind_pure_comp : bind p (pure ∘ f) = map f p := rfl
#align pmf.bind_pure_comp PMF.bind_pure_comp
theorem map_id : map id p = p :=
bind_pure _
#align pmf.map_id PMF.map_id
| Mathlib/Probability/ProbabilityMassFunction/Constructions.lean | 70 | 70 | theorem map_comp (g : β → γ) : (p.map f).map g = p.map (g ∘ f) := by | simp [map, Function.comp]
|
/-
Copyright (c) 2022 Damiano Testa. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Damiano Testa
-/
import Mathlib.Algebra.Polynomial.AlgebraMap
import Mathlib.Algebra.Polynomial.Reverse
import Mathlib.Algebra.Polynomial.Inductions
import Mathlib.RingTheory.Localization.Basic
#align_import data.polynomial.laurent from "leanprover-community/mathlib"@"831c494092374cfe9f50591ed0ac81a25efc5b86"
/-! # Laurent polynomials
We introduce Laurent polynomials over a semiring `R`. Mathematically, they are expressions of the
form
$$
\sum_{i \in \mathbb{Z}} a_i T ^ i
$$
where the sum extends over a finite subset of `ℤ`. Thus, negative exponents are allowed. The
coefficients come from the semiring `R` and the variable `T` commutes with everything.
Since we are going to convert back and forth between polynomials and Laurent polynomials, we
decided to maintain some distinction by using the symbol `T`, rather than `X`, as the variable for
Laurent polynomials.
## Notation
The symbol `R[T;T⁻¹]` stands for `LaurentPolynomial R`. We also define
* `C : R →+* R[T;T⁻¹]` the inclusion of constant polynomials, analogous to the one for `R[X]`;
* `T : ℤ → R[T;T⁻¹]` the sequence of powers of the variable `T`.
## Implementation notes
We define Laurent polynomials as `AddMonoidAlgebra R ℤ`.
Thus, they are essentially `Finsupp`s `ℤ →₀ R`.
This choice differs from the current irreducible design of `Polynomial`, that instead shields away
the implementation via `Finsupp`s. It is closer to the original definition of polynomials.
As a consequence, `LaurentPolynomial` plays well with polynomials, but there is a little roughness
in establishing the API, since the `Finsupp` implementation of `R[X]` is well-shielded.
Unlike the case of polynomials, I felt that the exponent notation was not too easy to use, as only
natural exponents would be allowed. Moreover, in the end, it seems likely that we should aim to
perform computations on exponents in `ℤ` anyway and separating this via the symbol `T` seems
convenient.
I made a *heavy* use of `simp` lemmas, aiming to bring Laurent polynomials to the form `C a * T n`.
Any comments or suggestions for improvements is greatly appreciated!
## Future work
Lots is missing!
-- (Riccardo) add inclusion into Laurent series.
-- (Riccardo) giving a morphism (as `R`-alg, so in the commutative case)
from `R[T,T⁻¹]` to `S` is the same as choosing a unit of `S`.
-- A "better" definition of `trunc` would be as an `R`-linear map. This works:
-- ```
-- def trunc : R[T;T⁻¹] →[R] R[X] :=
-- refine (?_ : R[ℕ] →[R] R[X]).comp ?_
-- · exact ⟨(toFinsuppIso R).symm, by simp⟩
-- · refine ⟨fun r ↦ comapDomain _ r
-- (Set.injOn_of_injective (fun _ _ ↦ Int.ofNat.inj) _), ?_⟩
-- exact fun r f ↦ comapDomain_smul ..
-- ```
-- but it would make sense to bundle the maps better, for a smoother user experience.
-- I (DT) did not have the strength to embark on this (possibly short!) journey, after getting to
-- this stage of the Laurent process!
-- This would likely involve adding a `comapDomain` analogue of
-- `AddMonoidAlgebra.mapDomainAlgHom` and an `R`-linear version of
-- `Polynomial.toFinsuppIso`.
-- Add `degree, int_degree, int_trailing_degree, leading_coeff, trailing_coeff,...`.
-/
open Polynomial Function AddMonoidAlgebra Finsupp
noncomputable section
variable {R : Type*}
/-- The semiring of Laurent polynomials with coefficients in the semiring `R`.
We denote it by `R[T;T⁻¹]`.
The ring homomorphism `C : R →+* R[T;T⁻¹]` includes `R` as the constant polynomials. -/
abbrev LaurentPolynomial (R : Type*) [Semiring R] :=
AddMonoidAlgebra R ℤ
#align laurent_polynomial LaurentPolynomial
@[nolint docBlame]
scoped[LaurentPolynomial] notation:9000 R "[T;T⁻¹]" => LaurentPolynomial R
open LaurentPolynomial
-- Porting note: `ext` no longer applies `Finsupp.ext` automatically
@[ext]
theorem LaurentPolynomial.ext [Semiring R] {p q : R[T;T⁻¹]} (h : ∀ a, p a = q a) : p = q :=
Finsupp.ext h
/-- The ring homomorphism, taking a polynomial with coefficients in `R` to a Laurent polynomial
with coefficients in `R`. -/
def Polynomial.toLaurent [Semiring R] : R[X] →+* R[T;T⁻¹] :=
(mapDomainRingHom R Int.ofNatHom).comp (toFinsuppIso R)
#align polynomial.to_laurent Polynomial.toLaurent
/-- This is not a simp lemma, as it is usually preferable to use the lemmas about `C` and `X`
instead. -/
theorem Polynomial.toLaurent_apply [Semiring R] (p : R[X]) :
toLaurent p = p.toFinsupp.mapDomain (↑) :=
rfl
#align polynomial.to_laurent_apply Polynomial.toLaurent_apply
/-- The `R`-algebra map, taking a polynomial with coefficients in `R` to a Laurent polynomial
with coefficients in `R`. -/
def Polynomial.toLaurentAlg [CommSemiring R] : R[X] →ₐ[R] R[T;T⁻¹] :=
(mapDomainAlgHom R R Int.ofNatHom).comp (toFinsuppIsoAlg R).toAlgHom
#align polynomial.to_laurent_alg Polynomial.toLaurentAlg
@[simp] lemma Polynomial.coe_toLaurentAlg [CommSemiring R] :
(toLaurentAlg : R[X] → R[T;T⁻¹]) = toLaurent :=
rfl
theorem Polynomial.toLaurentAlg_apply [CommSemiring R] (f : R[X]) : toLaurentAlg f = toLaurent f :=
rfl
#align polynomial.to_laurent_alg_apply Polynomial.toLaurentAlg_apply
namespace LaurentPolynomial
section Semiring
variable [Semiring R]
theorem single_zero_one_eq_one : (Finsupp.single 0 1 : R[T;T⁻¹]) = (1 : R[T;T⁻¹]) :=
rfl
#align laurent_polynomial.single_zero_one_eq_one LaurentPolynomial.single_zero_one_eq_one
/-! ### The functions `C` and `T`. -/
/-- The ring homomorphism `C`, including `R` into the ring of Laurent polynomials over `R` as
the constant Laurent polynomials. -/
def C : R →+* R[T;T⁻¹] :=
singleZeroRingHom
set_option linter.uppercaseLean3 false in
#align laurent_polynomial.C LaurentPolynomial.C
theorem algebraMap_apply {R A : Type*} [CommSemiring R] [Semiring A] [Algebra R A] (r : R) :
algebraMap R (LaurentPolynomial A) r = C (algebraMap R A r) :=
rfl
#align laurent_polynomial.algebra_map_apply LaurentPolynomial.algebraMap_apply
/-- When we have `[CommSemiring R]`, the function `C` is the same as `algebraMap R R[T;T⁻¹]`.
(But note that `C` is defined when `R` is not necessarily commutative, in which case
`algebraMap` is not available.)
-/
theorem C_eq_algebraMap {R : Type*} [CommSemiring R] (r : R) : C r = algebraMap R R[T;T⁻¹] r :=
rfl
set_option linter.uppercaseLean3 false in
#align laurent_polynomial.C_eq_algebra_map LaurentPolynomial.C_eq_algebraMap
theorem single_eq_C (r : R) : Finsupp.single 0 r = C r := rfl
set_option linter.uppercaseLean3 false in
#align laurent_polynomial.single_eq_C LaurentPolynomial.single_eq_C
@[simp] lemma C_apply (t : R) (n : ℤ) : C t n = if n = 0 then t else 0 := by
rw [← single_eq_C, Finsupp.single_apply]; aesop
/-- The function `n ↦ T ^ n`, implemented as a sequence `ℤ → R[T;T⁻¹]`.
Using directly `T ^ n` does not work, since we want the exponents to be of Type `ℤ` and there
is no `ℤ`-power defined on `R[T;T⁻¹]`. Using that `T` is a unit introduces extra coercions.
For these reasons, the definition of `T` is as a sequence. -/
def T (n : ℤ) : R[T;T⁻¹] :=
Finsupp.single n 1
set_option linter.uppercaseLean3 false in
#align laurent_polynomial.T LaurentPolynomial.T
@[simp] lemma T_apply (m n : ℤ) : (T n : R[T;T⁻¹]) m = if n = m then 1 else 0 :=
Finsupp.single_apply
@[simp]
theorem T_zero : (T 0 : R[T;T⁻¹]) = 1 :=
rfl
set_option linter.uppercaseLean3 false in
#align laurent_polynomial.T_zero LaurentPolynomial.T_zero
theorem T_add (m n : ℤ) : (T (m + n) : R[T;T⁻¹]) = T m * T n := by
-- Porting note: was `convert single_mul_single.symm`
simp [T, single_mul_single]
set_option linter.uppercaseLean3 false in
#align laurent_polynomial.T_add LaurentPolynomial.T_add
theorem T_sub (m n : ℤ) : (T (m - n) : R[T;T⁻¹]) = T m * T (-n) := by rw [← T_add, sub_eq_add_neg]
set_option linter.uppercaseLean3 false in
#align laurent_polynomial.T_sub LaurentPolynomial.T_sub
@[simp]
theorem T_pow (m : ℤ) (n : ℕ) : (T m ^ n : R[T;T⁻¹]) = T (n * m) := by
rw [T, T, single_pow n, one_pow, nsmul_eq_mul]
set_option linter.uppercaseLean3 false in
#align laurent_polynomial.T_pow LaurentPolynomial.T_pow
/-- The `simp` version of `mul_assoc`, in the presence of `T`'s. -/
@[simp]
theorem mul_T_assoc (f : R[T;T⁻¹]) (m n : ℤ) : f * T m * T n = f * T (m + n) := by
simp [← T_add, mul_assoc]
set_option linter.uppercaseLean3 false in
#align laurent_polynomial.mul_T_assoc LaurentPolynomial.mul_T_assoc
@[simp]
theorem single_eq_C_mul_T (r : R) (n : ℤ) :
(Finsupp.single n r : R[T;T⁻¹]) = (C r * T n : R[T;T⁻¹]) := by
-- Porting note: was `convert single_mul_single.symm`
simp [C, T, single_mul_single]
set_option linter.uppercaseLean3 false in
#align laurent_polynomial.single_eq_C_mul_T LaurentPolynomial.single_eq_C_mul_T
-- This lemma locks in the right changes and is what Lean proved directly.
-- The actual `simp`-normal form of a Laurent monomial is `C a * T n`, whenever it can be reached.
@[simp]
theorem _root_.Polynomial.toLaurent_C_mul_T (n : ℕ) (r : R) :
(toLaurent (Polynomial.monomial n r) : R[T;T⁻¹]) = C r * T n :=
show Finsupp.mapDomain (↑) (monomial n r).toFinsupp = (C r * T n : R[T;T⁻¹]) by
rw [toFinsupp_monomial, Finsupp.mapDomain_single, single_eq_C_mul_T]
set_option linter.uppercaseLean3 false in
#align polynomial.to_laurent_C_mul_T Polynomial.toLaurent_C_mul_T
@[simp]
theorem _root_.Polynomial.toLaurent_C (r : R) : toLaurent (Polynomial.C r) = C r := by
convert Polynomial.toLaurent_C_mul_T 0 r
simp only [Int.ofNat_zero, T_zero, mul_one]
set_option linter.uppercaseLean3 false in
#align polynomial.to_laurent_C Polynomial.toLaurent_C
@[simp]
theorem _root_.Polynomial.toLaurent_comp_C : toLaurent (R := R) ∘ Polynomial.C = C :=
funext Polynomial.toLaurent_C
@[simp]
theorem _root_.Polynomial.toLaurent_X : (toLaurent Polynomial.X : R[T;T⁻¹]) = T 1 := by
have : (Polynomial.X : R[X]) = monomial 1 1 := by simp [← C_mul_X_pow_eq_monomial]
simp [this, Polynomial.toLaurent_C_mul_T]
set_option linter.uppercaseLean3 false in
#align polynomial.to_laurent_X Polynomial.toLaurent_X
-- @[simp] -- Porting note (#10618): simp can prove this
theorem _root_.Polynomial.toLaurent_one : (Polynomial.toLaurent : R[X] → R[T;T⁻¹]) 1 = 1 :=
map_one Polynomial.toLaurent
#align polynomial.to_laurent_one Polynomial.toLaurent_one
-- @[simp] -- Porting note (#10618): simp can prove this
theorem _root_.Polynomial.toLaurent_C_mul_eq (r : R) (f : R[X]) :
toLaurent (Polynomial.C r * f) = C r * toLaurent f := by
simp only [_root_.map_mul, Polynomial.toLaurent_C]
set_option linter.uppercaseLean3 false in
#align polynomial.to_laurent_C_mul_eq Polynomial.toLaurent_C_mul_eq
-- @[simp] -- Porting note (#10618): simp can prove this
theorem _root_.Polynomial.toLaurent_X_pow (n : ℕ) : toLaurent (X ^ n : R[X]) = T n := by
simp only [map_pow, Polynomial.toLaurent_X, T_pow, mul_one]
set_option linter.uppercaseLean3 false in
#align polynomial.to_laurent_X_pow Polynomial.toLaurent_X_pow
-- @[simp] -- Porting note (#10618): simp can prove this
theorem _root_.Polynomial.toLaurent_C_mul_X_pow (n : ℕ) (r : R) :
toLaurent (Polynomial.C r * X ^ n) = C r * T n := by
simp only [_root_.map_mul, Polynomial.toLaurent_C, Polynomial.toLaurent_X_pow]
set_option linter.uppercaseLean3 false in
#align polynomial.to_laurent_C_mul_X_pow Polynomial.toLaurent_C_mul_X_pow
instance invertibleT (n : ℤ) : Invertible (T n : R[T;T⁻¹]) where
invOf := T (-n)
invOf_mul_self := by rw [← T_add, add_left_neg, T_zero]
mul_invOf_self := by rw [← T_add, add_right_neg, T_zero]
set_option linter.uppercaseLean3 false in
#align laurent_polynomial.invertible_T LaurentPolynomial.invertibleT
@[simp]
theorem invOf_T (n : ℤ) : ⅟ (T n : R[T;T⁻¹]) = T (-n) :=
rfl
set_option linter.uppercaseLean3 false in
#align laurent_polynomial.inv_of_T LaurentPolynomial.invOf_T
theorem isUnit_T (n : ℤ) : IsUnit (T n : R[T;T⁻¹]) :=
isUnit_of_invertible _
set_option linter.uppercaseLean3 false in
#align laurent_polynomial.is_unit_T LaurentPolynomial.isUnit_T
@[elab_as_elim]
protected theorem induction_on {M : R[T;T⁻¹] → Prop} (p : R[T;T⁻¹]) (h_C : ∀ a, M (C a))
(h_add : ∀ {p q}, M p → M q → M (p + q))
(h_C_mul_T : ∀ (n : ℕ) (a : R), M (C a * T n) → M (C a * T (n + 1)))
(h_C_mul_T_Z : ∀ (n : ℕ) (a : R), M (C a * T (-n)) → M (C a * T (-n - 1))) : M p := by
have A : ∀ {n : ℤ} {a : R}, M (C a * T n) := by
intro n a
refine Int.induction_on n ?_ ?_ ?_
· simpa only [T_zero, mul_one] using h_C a
· exact fun m => h_C_mul_T m a
· exact fun m => h_C_mul_T_Z m a
have B : ∀ s : Finset ℤ, M (s.sum fun n : ℤ => C (p.toFun n) * T n) := by
apply Finset.induction
· convert h_C 0
simp only [Finset.sum_empty, _root_.map_zero]
· intro n s ns ih
rw [Finset.sum_insert ns]
exact h_add A ih
convert B p.support
ext a
simp_rw [← single_eq_C_mul_T]
-- Porting note: did not make progress in `simp_rw`
rw [Finset.sum_apply']
simp_rw [Finsupp.single_apply, Finset.sum_ite_eq']
split_ifs with h
· rfl
· exact Finsupp.not_mem_support_iff.mp h
#align laurent_polynomial.induction_on LaurentPolynomial.induction_on
/-- To prove something about Laurent polynomials, it suffices to show that
* the condition is closed under taking sums, and
* it holds for monomials.
-/
@[elab_as_elim]
protected theorem induction_on' {M : R[T;T⁻¹] → Prop} (p : R[T;T⁻¹])
(h_add : ∀ p q, M p → M q → M (p + q)) (h_C_mul_T : ∀ (n : ℤ) (a : R), M (C a * T n)) :
M p := by
refine p.induction_on (fun a => ?_) (fun {p q} => h_add p q) ?_ ?_ <;>
try exact fun n f _ => h_C_mul_T _ f
convert h_C_mul_T 0 a
exact (mul_one _).symm
#align laurent_polynomial.induction_on' LaurentPolynomial.induction_on'
theorem commute_T (n : ℤ) (f : R[T;T⁻¹]) : Commute (T n) f :=
f.induction_on' (fun p q Tp Tq => Commute.add_right Tp Tq) fun m a =>
show T n * _ = _ by
rw [T, T, ← single_eq_C, single_mul_single, single_mul_single, single_mul_single]
simp [add_comm]
set_option linter.uppercaseLean3 false in
#align laurent_polynomial.commute_T LaurentPolynomial.commute_T
@[simp]
theorem T_mul (n : ℤ) (f : R[T;T⁻¹]) : T n * f = f * T n :=
(commute_T n f).eq
set_option linter.uppercaseLean3 false in
#align laurent_polynomial.T_mul LaurentPolynomial.T_mul
/-- `trunc : R[T;T⁻¹] →+ R[X]` maps a Laurent polynomial `f` to the polynomial whose terms of
nonnegative degree coincide with the ones of `f`. The terms of negative degree of `f` "vanish".
`trunc` is a left-inverse to `Polynomial.toLaurent`. -/
def trunc : R[T;T⁻¹] →+ R[X] :=
(toFinsuppIso R).symm.toAddMonoidHom.comp <| comapDomain.addMonoidHom fun _ _ => Int.ofNat.inj
#align laurent_polynomial.trunc LaurentPolynomial.trunc
@[simp]
theorem trunc_C_mul_T (n : ℤ) (r : R) : trunc (C r * T n) = ite (0 ≤ n) (monomial n.toNat r) 0 := by
apply (toFinsuppIso R).injective
rw [← single_eq_C_mul_T, trunc, AddMonoidHom.coe_comp, Function.comp_apply]
-- Porting note (#10691): was `rw`
erw [comapDomain.addMonoidHom_apply Int.ofNat_injective]
rw [toFinsuppIso_apply]
-- Porting note: rewrote proof below relative to mathlib3.
by_cases n0 : 0 ≤ n
· lift n to ℕ using n0
erw [comapDomain_single]
simp only [Nat.cast_nonneg, Int.toNat_ofNat, ite_true, toFinsupp_monomial]
· lift -n to ℕ using (neg_pos.mpr (not_le.mp n0)).le with m
rw [toFinsupp_inj, if_neg n0]
ext a
have := ((not_le.mp n0).trans_le (Int.ofNat_zero_le a)).ne
simp only [coeff_ofFinsupp, comapDomain_apply, Int.ofNat_eq_coe, coeff_zero,
single_eq_of_ne this]
set_option linter.uppercaseLean3 false in
#align laurent_polynomial.trunc_C_mul_T LaurentPolynomial.trunc_C_mul_T
@[simp]
theorem leftInverse_trunc_toLaurent :
Function.LeftInverse (trunc : R[T;T⁻¹] → R[X]) Polynomial.toLaurent := by
refine fun f => f.induction_on' ?_ ?_
· intro f g hf hg
simp only [hf, hg, _root_.map_add]
· intro n r
simp only [Polynomial.toLaurent_C_mul_T, trunc_C_mul_T, Int.natCast_nonneg, Int.toNat_natCast,
if_true]
#align laurent_polynomial.left_inverse_trunc_to_laurent LaurentPolynomial.leftInverse_trunc_toLaurent
@[simp]
theorem _root_.Polynomial.trunc_toLaurent (f : R[X]) : trunc (toLaurent f) = f :=
leftInverse_trunc_toLaurent _
#align polynomial.trunc_to_laurent Polynomial.trunc_toLaurent
theorem _root_.Polynomial.toLaurent_injective :
Function.Injective (Polynomial.toLaurent : R[X] → R[T;T⁻¹]) :=
leftInverse_trunc_toLaurent.injective
#align polynomial.to_laurent_injective Polynomial.toLaurent_injective
@[simp]
theorem _root_.Polynomial.toLaurent_inj (f g : R[X]) : toLaurent f = toLaurent g ↔ f = g :=
⟨fun h => Polynomial.toLaurent_injective h, congr_arg _⟩
#align polynomial.to_laurent_inj Polynomial.toLaurent_inj
theorem _root_.Polynomial.toLaurent_ne_zero {f : R[X]} : f ≠ 0 ↔ toLaurent f ≠ 0 :=
(map_ne_zero_iff _ Polynomial.toLaurent_injective).symm
#align polynomial.to_laurent_ne_zero Polynomial.toLaurent_ne_zero
theorem exists_T_pow (f : R[T;T⁻¹]) : ∃ (n : ℕ) (f' : R[X]), toLaurent f' = f * T n := by
refine f.induction_on' ?_ fun n a => ?_ <;> clear f
· rintro f g ⟨m, fn, hf⟩ ⟨n, gn, hg⟩
refine ⟨m + n, fn * X ^ n + gn * X ^ m, ?_⟩
simp only [hf, hg, add_mul, add_comm (n : ℤ), map_add, map_mul, Polynomial.toLaurent_X_pow,
mul_T_assoc, Int.ofNat_add]
· cases' n with n n
· exact ⟨0, Polynomial.C a * X ^ n, by simp⟩
· refine ⟨n + 1, Polynomial.C a, ?_⟩
simp only [Int.negSucc_eq, Polynomial.toLaurent_C, Int.ofNat_succ, mul_T_assoc, add_left_neg,
T_zero, mul_one]
set_option linter.uppercaseLean3 false in
#align laurent_polynomial.exists_T_pow LaurentPolynomial.exists_T_pow
/-- This is a version of `exists_T_pow` stated as an induction principle. -/
@[elab_as_elim]
theorem induction_on_mul_T {Q : R[T;T⁻¹] → Prop} (f : R[T;T⁻¹])
(Qf : ∀ {f : R[X]} {n : ℕ}, Q (toLaurent f * T (-n))) : Q f := by
rcases f.exists_T_pow with ⟨n, f', hf⟩
rw [← mul_one f, ← T_zero, ← Nat.cast_zero, ← Nat.sub_self n, Nat.cast_sub rfl.le, T_sub,
← mul_assoc, ← hf]
exact Qf
set_option linter.uppercaseLean3 false in
#align laurent_polynomial.induction_on_mul_T LaurentPolynomial.induction_on_mul_T
/-- Suppose that `Q` is a statement about Laurent polynomials such that
* `Q` is true on *ordinary* polynomials;
* `Q (f * T)` implies `Q f`;
it follow that `Q` is true on all Laurent polynomials. -/
| Mathlib/Algebra/Polynomial/Laurent.lean | 431 | 437 | theorem reduce_to_polynomial_of_mul_T (f : R[T;T⁻¹]) {Q : R[T;T⁻¹] → Prop}
(Qf : ∀ f : R[X], Q (toLaurent f)) (QT : ∀ f, Q (f * T 1) → Q f) : Q f := by |
induction' f using LaurentPolynomial.induction_on_mul_T with f n
induction' n with n hn
· simpa only [Nat.zero_eq, Nat.cast_zero, neg_zero, T_zero, mul_one] using Qf _
· convert QT _ _
simpa using hn
|
/-
Copyright (c) 2022 Yaël Dillies. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yaël Dillies
-/
import Mathlib.Order.Filter.Prod
#align_import order.filter.n_ary from "leanprover-community/mathlib"@"78f647f8517f021d839a7553d5dc97e79b508dea"
/-!
# N-ary maps of filter
This file defines the binary and ternary maps of filters. This is mostly useful to define pointwise
operations on filters.
## Main declarations
* `Filter.map₂`: Binary map of filters.
## Notes
This file is very similar to `Data.Set.NAry`, `Data.Finset.NAry` and `Data.Option.NAry`. Please
keep them in sync.
-/
open Function Set
open Filter
namespace Filter
variable {α α' β β' γ γ' δ δ' ε ε' : Type*} {m : α → β → γ} {f f₁ f₂ : Filter α}
{g g₁ g₂ : Filter β} {h h₁ h₂ : Filter γ} {s s₁ s₂ : Set α} {t t₁ t₂ : Set β} {u : Set γ}
{v : Set δ} {a : α} {b : β} {c : γ}
/-- The image of a binary function `m : α → β → γ` as a function `Filter α → Filter β → Filter γ`.
Mathematically this should be thought of as the image of the corresponding function `α × β → γ`. -/
def map₂ (m : α → β → γ) (f : Filter α) (g : Filter β) : Filter γ :=
((f ×ˢ g).map (uncurry m)).copy { s | ∃ u ∈ f, ∃ v ∈ g, image2 m u v ⊆ s } fun _ ↦ by
simp only [mem_map, mem_prod_iff, image2_subset_iff, prod_subset_iff]; rfl
#align filter.map₂ Filter.map₂
@[simp 900]
theorem mem_map₂_iff : u ∈ map₂ m f g ↔ ∃ s ∈ f, ∃ t ∈ g, image2 m s t ⊆ u :=
Iff.rfl
#align filter.mem_map₂_iff Filter.mem_map₂_iff
theorem image2_mem_map₂ (hs : s ∈ f) (ht : t ∈ g) : image2 m s t ∈ map₂ m f g :=
⟨_, hs, _, ht, Subset.rfl⟩
#align filter.image2_mem_map₂ Filter.image2_mem_map₂
theorem map_prod_eq_map₂ (m : α → β → γ) (f : Filter α) (g : Filter β) :
Filter.map (fun p : α × β => m p.1 p.2) (f ×ˢ g) = map₂ m f g := by
rw [map₂, copy_eq, uncurry_def]
#align filter.map_prod_eq_map₂ Filter.map_prod_eq_map₂
theorem map_prod_eq_map₂' (m : α × β → γ) (f : Filter α) (g : Filter β) :
Filter.map m (f ×ˢ g) = map₂ (fun a b => m (a, b)) f g :=
map_prod_eq_map₂ (curry m) f g
#align filter.map_prod_eq_map₂' Filter.map_prod_eq_map₂'
@[simp]
theorem map₂_mk_eq_prod (f : Filter α) (g : Filter β) : map₂ Prod.mk f g = f ×ˢ g := by
simp only [← map_prod_eq_map₂, map_id']
#align filter.map₂_mk_eq_prod Filter.map₂_mk_eq_prod
-- lemma image2_mem_map₂_iff (hm : injective2 m) : image2 m s t ∈ map₂ m f g ↔ s ∈ f ∧ t ∈ g :=
-- ⟨by { rintro ⟨u, v, hu, hv, h⟩, rw image2_subset_image2_iff hm at h,
-- exact ⟨mem_of_superset hu h.1, mem_of_superset hv h.2⟩ }, λ h, image2_mem_map₂ h.1 h.2⟩
theorem map₂_mono (hf : f₁ ≤ f₂) (hg : g₁ ≤ g₂) : map₂ m f₁ g₁ ≤ map₂ m f₂ g₂ :=
fun _ ⟨s, hs, t, ht, hst⟩ => ⟨s, hf hs, t, hg ht, hst⟩
#align filter.map₂_mono Filter.map₂_mono
theorem map₂_mono_left (h : g₁ ≤ g₂) : map₂ m f g₁ ≤ map₂ m f g₂ :=
map₂_mono Subset.rfl h
#align filter.map₂_mono_left Filter.map₂_mono_left
theorem map₂_mono_right (h : f₁ ≤ f₂) : map₂ m f₁ g ≤ map₂ m f₂ g :=
map₂_mono h Subset.rfl
#align filter.map₂_mono_right Filter.map₂_mono_right
@[simp]
theorem le_map₂_iff {h : Filter γ} :
h ≤ map₂ m f g ↔ ∀ ⦃s⦄, s ∈ f → ∀ ⦃t⦄, t ∈ g → image2 m s t ∈ h :=
⟨fun H _ hs _ ht => H <| image2_mem_map₂ hs ht, fun H _ ⟨_, hs, _, ht, hu⟩ =>
mem_of_superset (H hs ht) hu⟩
#align filter.le_map₂_iff Filter.le_map₂_iff
@[simp]
theorem map₂_eq_bot_iff : map₂ m f g = ⊥ ↔ f = ⊥ ∨ g = ⊥ := by simp [← map_prod_eq_map₂]
#align filter.map₂_eq_bot_iff Filter.map₂_eq_bot_iff
@[simp]
theorem map₂_bot_left : map₂ m ⊥ g = ⊥ := map₂_eq_bot_iff.2 <| .inl rfl
#align filter.map₂_bot_left Filter.map₂_bot_left
@[simp]
theorem map₂_bot_right : map₂ m f ⊥ = ⊥ := map₂_eq_bot_iff.2 <| .inr rfl
#align filter.map₂_bot_right Filter.map₂_bot_right
@[simp]
theorem map₂_neBot_iff : (map₂ m f g).NeBot ↔ f.NeBot ∧ g.NeBot := by simp [neBot_iff, not_or]
#align filter.map₂_ne_bot_iff Filter.map₂_neBot_iff
protected theorem NeBot.map₂ (hf : f.NeBot) (hg : g.NeBot) : (map₂ m f g).NeBot :=
map₂_neBot_iff.2 ⟨hf, hg⟩
#align filter.ne_bot.map₂ Filter.NeBot.map₂
instance map₂.neBot [NeBot f] [NeBot g] : NeBot (map₂ m f g) := .map₂ ‹_› ‹_›
theorem NeBot.of_map₂_left (h : (map₂ m f g).NeBot) : f.NeBot :=
(map₂_neBot_iff.1 h).1
#align filter.ne_bot.of_map₂_left Filter.NeBot.of_map₂_left
theorem NeBot.of_map₂_right (h : (map₂ m f g).NeBot) : g.NeBot :=
(map₂_neBot_iff.1 h).2
#align filter.ne_bot.of_map₂_right Filter.NeBot.of_map₂_right
theorem map₂_sup_left : map₂ m (f₁ ⊔ f₂) g = map₂ m f₁ g ⊔ map₂ m f₂ g := by
simp_rw [← map_prod_eq_map₂, sup_prod, map_sup]
#align filter.map₂_sup_left Filter.map₂_sup_left
theorem map₂_sup_right : map₂ m f (g₁ ⊔ g₂) = map₂ m f g₁ ⊔ map₂ m f g₂ := by
simp_rw [← map_prod_eq_map₂, prod_sup, map_sup]
#align filter.map₂_sup_right Filter.map₂_sup_right
theorem map₂_inf_subset_left : map₂ m (f₁ ⊓ f₂) g ≤ map₂ m f₁ g ⊓ map₂ m f₂ g :=
Monotone.map_inf_le (fun _ _ ↦ map₂_mono_right) f₁ f₂
#align filter.map₂_inf_subset_left Filter.map₂_inf_subset_left
theorem map₂_inf_subset_right : map₂ m f (g₁ ⊓ g₂) ≤ map₂ m f g₁ ⊓ map₂ m f g₂ :=
Monotone.map_inf_le (fun _ _ ↦ map₂_mono_left) g₁ g₂
#align filter.map₂_inf_subset_right Filter.map₂_inf_subset_right
@[simp]
theorem map₂_pure_left : map₂ m (pure a) g = g.map (m a) := by
rw [← map_prod_eq_map₂, pure_prod, map_map]; rfl
#align filter.map₂_pure_left Filter.map₂_pure_left
@[simp]
theorem map₂_pure_right : map₂ m f (pure b) = f.map (m · b) := by
rw [← map_prod_eq_map₂, prod_pure, map_map]; rfl
#align filter.map₂_pure_right Filter.map₂_pure_right
theorem map₂_pure : map₂ m (pure a) (pure b) = pure (m a b) := by rw [map₂_pure_right, map_pure]
#align filter.map₂_pure Filter.map₂_pure
theorem map₂_swap (m : α → β → γ) (f : Filter α) (g : Filter β) :
map₂ m f g = map₂ (fun a b => m b a) g f := by
rw [← map_prod_eq_map₂, prod_comm, map_map, ← map_prod_eq_map₂, Function.comp_def]
#align filter.map₂_swap Filter.map₂_swap
@[simp]
theorem map₂_left [NeBot g] : map₂ (fun x _ => x) f g = f := by
rw [← map_prod_eq_map₂, map_fst_prod]
#align filter.map₂_left Filter.map₂_left
@[simp]
theorem map₂_right [NeBot f] : map₂ (fun _ y => y) f g = g := by rw [map₂_swap, map₂_left]
#align filter.map₂_right Filter.map₂_right
#noalign filter.map₃
#noalign filter.map₂_map₂_left
#noalign filter.map₂_map₂_right
theorem map_map₂ (m : α → β → γ) (n : γ → δ) :
(map₂ m f g).map n = map₂ (fun a b => n (m a b)) f g := by
rw [← map_prod_eq_map₂, ← map_prod_eq_map₂, map_map]; rfl
#align filter.map_map₂ Filter.map_map₂
theorem map₂_map_left (m : γ → β → δ) (n : α → γ) :
map₂ m (f.map n) g = map₂ (fun a b => m (n a) b) f g := by
rw [← map_prod_eq_map₂, ← map_prod_eq_map₂, ← @map_id _ g, prod_map_map_eq, map_map, map_id]; rfl
#align filter.map₂_map_left Filter.map₂_map_left
theorem map₂_map_right (m : α → γ → δ) (n : β → γ) :
map₂ m f (g.map n) = map₂ (fun a b => m a (n b)) f g := by
rw [map₂_swap, map₂_map_left, map₂_swap]
#align filter.map₂_map_right Filter.map₂_map_right
@[simp]
theorem map₂_curry (m : α × β → γ) (f : Filter α) (g : Filter β) :
map₂ (curry m) f g = (f ×ˢ g).map m :=
(map_prod_eq_map₂' _ _ _).symm
#align filter.map₂_curry Filter.map₂_curry
@[simp]
theorem map_uncurry_prod (m : α → β → γ) (f : Filter α) (g : Filter β) :
(f ×ˢ g).map (uncurry m) = map₂ m f g :=
(map₂_curry (uncurry m) f g).symm
#align filter.map_uncurry_prod Filter.map_uncurry_prod
/-!
### Algebraic replacement rules
A collection of lemmas to transfer associativity, commutativity, distributivity, ... of operations
to the associativity, commutativity, distributivity, ... of `Filter.map₂` of those operations.
The proof pattern is `map₂_lemma operation_lemma`. For example, `map₂_comm mul_comm` proves that
`map₂ (*) f g = map₂ (*) g f` in a `CommSemigroup`.
-/
theorem map₂_assoc {m : δ → γ → ε} {n : α → β → δ} {m' : α → ε' → ε} {n' : β → γ → ε'}
{h : Filter γ} (h_assoc : ∀ a b c, m (n a b) c = m' a (n' b c)) :
map₂ m (map₂ n f g) h = map₂ m' f (map₂ n' g h) := by
rw [← map_prod_eq_map₂ n, ← map_prod_eq_map₂ n', map₂_map_left, map₂_map_right,
← map_prod_eq_map₂, ← map_prod_eq_map₂, ← prod_assoc, map_map]
simp only [h_assoc, Function.comp, Equiv.prodAssoc_apply]
#align filter.map₂_assoc Filter.map₂_assoc
theorem map₂_comm {n : β → α → γ} (h_comm : ∀ a b, m a b = n b a) : map₂ m f g = map₂ n g f :=
(map₂_swap _ _ _).trans <| by simp_rw [h_comm]
#align filter.map₂_comm Filter.map₂_comm
theorem map₂_left_comm {m : α → δ → ε} {n : β → γ → δ} {m' : α → γ → δ'} {n' : β → δ' → ε}
(h_left_comm : ∀ a b c, m a (n b c) = n' b (m' a c)) :
map₂ m f (map₂ n g h) = map₂ n' g (map₂ m' f h) := by
rw [map₂_swap m', map₂_swap m]
exact map₂_assoc fun _ _ _ => h_left_comm _ _ _
#align filter.map₂_left_comm Filter.map₂_left_comm
| Mathlib/Order/Filter/NAry.lean | 223 | 227 | theorem map₂_right_comm {m : δ → γ → ε} {n : α → β → δ} {m' : α → γ → δ'} {n' : δ' → β → ε}
(h_right_comm : ∀ a b c, m (n a b) c = n' (m' a c) b) :
map₂ m (map₂ n f g) h = map₂ n' (map₂ m' f h) g := by |
rw [map₂_swap n, map₂_swap n']
exact map₂_assoc fun _ _ _ => h_right_comm _ _ _
|
/-
Copyright (c) 2018 Chris Hughes. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Chris Hughes, Abhimanyu Pallavi Sudhir, Jean Lo, Calle Sönne
-/
import Mathlib.Analysis.Complex.Asymptotics
import Mathlib.Analysis.SpecificLimits.Normed
#align_import analysis.special_functions.exp from "leanprover-community/mathlib"@"ba5ff5ad5d120fb0ef094ad2994967e9bfaf5112"
/-!
# Complex and real exponential
In this file we prove continuity of `Complex.exp` and `Real.exp`. We also prove a few facts about
limits of `Real.exp` at infinity.
## Tags
exp
-/
noncomputable section
open Finset Filter Metric Asymptotics Set Function Bornology
open scoped Classical Topology Nat
namespace Complex
variable {z y x : ℝ}
theorem exp_bound_sq (x z : ℂ) (hz : ‖z‖ ≤ 1) :
‖exp (x + z) - exp x - z • exp x‖ ≤ ‖exp x‖ * ‖z‖ ^ 2 :=
calc
‖exp (x + z) - exp x - z * exp x‖ = ‖exp x * (exp z - 1 - z)‖ := by
congr
rw [exp_add]
ring
_ = ‖exp x‖ * ‖exp z - 1 - z‖ := norm_mul _ _
_ ≤ ‖exp x‖ * ‖z‖ ^ 2 :=
mul_le_mul_of_nonneg_left (abs_exp_sub_one_sub_id_le hz) (norm_nonneg _)
#align complex.exp_bound_sq Complex.exp_bound_sq
theorem locally_lipschitz_exp {r : ℝ} (hr_nonneg : 0 ≤ r) (hr_le : r ≤ 1) (x y : ℂ)
(hyx : ‖y - x‖ < r) : ‖exp y - exp x‖ ≤ (1 + r) * ‖exp x‖ * ‖y - x‖ := by
have hy_eq : y = x + (y - x) := by abel
have hyx_sq_le : ‖y - x‖ ^ 2 ≤ r * ‖y - x‖ := by
rw [pow_two]
exact mul_le_mul hyx.le le_rfl (norm_nonneg _) hr_nonneg
have h_sq : ∀ z, ‖z‖ ≤ 1 → ‖exp (x + z) - exp x‖ ≤ ‖z‖ * ‖exp x‖ + ‖exp x‖ * ‖z‖ ^ 2 := by
intro z hz
have : ‖exp (x + z) - exp x - z • exp x‖ ≤ ‖exp x‖ * ‖z‖ ^ 2 := exp_bound_sq x z hz
rw [← sub_le_iff_le_add', ← norm_smul z]
exact (norm_sub_norm_le _ _).trans this
calc
‖exp y - exp x‖ = ‖exp (x + (y - x)) - exp x‖ := by nth_rw 1 [hy_eq]
_ ≤ ‖y - x‖ * ‖exp x‖ + ‖exp x‖ * ‖y - x‖ ^ 2 := h_sq (y - x) (hyx.le.trans hr_le)
_ ≤ ‖y - x‖ * ‖exp x‖ + ‖exp x‖ * (r * ‖y - x‖) :=
(add_le_add_left (mul_le_mul le_rfl hyx_sq_le (sq_nonneg _) (norm_nonneg _)) _)
_ = (1 + r) * ‖exp x‖ * ‖y - x‖ := by ring
#align complex.locally_lipschitz_exp Complex.locally_lipschitz_exp
-- Porting note: proof by term mode `locally_lipschitz_exp zero_le_one le_rfl x`
-- doesn't work because `‖y - x‖` and `dist y x` don't unify
@[continuity]
theorem continuous_exp : Continuous exp :=
continuous_iff_continuousAt.mpr fun x =>
continuousAt_of_locally_lipschitz zero_lt_one (2 * ‖exp x‖)
(fun y ↦ by
convert locally_lipschitz_exp zero_le_one le_rfl x y using 2
congr
ring)
#align complex.continuous_exp Complex.continuous_exp
theorem continuousOn_exp {s : Set ℂ} : ContinuousOn exp s :=
continuous_exp.continuousOn
#align complex.continuous_on_exp Complex.continuousOn_exp
lemma exp_sub_sum_range_isBigO_pow (n : ℕ) :
(fun x ↦ exp x - ∑ i ∈ Finset.range n, x ^ i / i !) =O[𝓝 0] (· ^ n) := by
rcases (zero_le n).eq_or_lt with rfl | hn
· simpa using continuous_exp.continuousAt.norm.isBoundedUnder_le
· refine .of_bound (n.succ / (n ! * n)) ?_
rw [NormedAddCommGroup.nhds_zero_basis_norm_lt.eventually_iff]
refine ⟨1, one_pos, fun x hx ↦ ?_⟩
convert exp_bound hx.out.le hn using 1
field_simp [mul_comm]
lemma exp_sub_sum_range_succ_isLittleO_pow (n : ℕ) :
(fun x ↦ exp x - ∑ i ∈ Finset.range (n + 1), x ^ i / i !) =o[𝓝 0] (· ^ n) :=
(exp_sub_sum_range_isBigO_pow (n + 1)).trans_isLittleO <| isLittleO_pow_pow n.lt_succ_self
end Complex
section ComplexContinuousExpComp
variable {α : Type*}
open Complex
theorem Filter.Tendsto.cexp {l : Filter α} {f : α → ℂ} {z : ℂ} (hf : Tendsto f l (𝓝 z)) :
Tendsto (fun x => exp (f x)) l (𝓝 (exp z)) :=
(continuous_exp.tendsto _).comp hf
#align filter.tendsto.cexp Filter.Tendsto.cexp
variable [TopologicalSpace α] {f : α → ℂ} {s : Set α} {x : α}
nonrec
theorem ContinuousWithinAt.cexp (h : ContinuousWithinAt f s x) :
ContinuousWithinAt (fun y => exp (f y)) s x :=
h.cexp
#align continuous_within_at.cexp ContinuousWithinAt.cexp
@[fun_prop]
nonrec
theorem ContinuousAt.cexp (h : ContinuousAt f x) : ContinuousAt (fun y => exp (f y)) x :=
h.cexp
#align continuous_at.cexp ContinuousAt.cexp
@[fun_prop]
theorem ContinuousOn.cexp (h : ContinuousOn f s) : ContinuousOn (fun y => exp (f y)) s :=
fun x hx => (h x hx).cexp
#align continuous_on.cexp ContinuousOn.cexp
@[fun_prop]
theorem Continuous.cexp (h : Continuous f) : Continuous fun y => exp (f y) :=
continuous_iff_continuousAt.2 fun _ => h.continuousAt.cexp
#align continuous.cexp Continuous.cexp
end ComplexContinuousExpComp
namespace Real
@[continuity]
theorem continuous_exp : Continuous exp :=
Complex.continuous_re.comp Complex.continuous_ofReal.cexp
#align real.continuous_exp Real.continuous_exp
theorem continuousOn_exp {s : Set ℝ} : ContinuousOn exp s :=
continuous_exp.continuousOn
#align real.continuous_on_exp Real.continuousOn_exp
lemma exp_sub_sum_range_isBigO_pow (n : ℕ) :
(fun x ↦ exp x - ∑ i ∈ Finset.range n, x ^ i / i !) =O[𝓝 0] (· ^ n) := by
have := (Complex.exp_sub_sum_range_isBigO_pow n).comp_tendsto
(Complex.continuous_ofReal.tendsto' 0 0 rfl)
simp only [(· ∘ ·)] at this
norm_cast at this
lemma exp_sub_sum_range_succ_isLittleO_pow (n : ℕ) :
(fun x ↦ exp x - ∑ i ∈ Finset.range (n + 1), x ^ i / i !) =o[𝓝 0] (· ^ n) :=
(exp_sub_sum_range_isBigO_pow (n + 1)).trans_isLittleO <| isLittleO_pow_pow n.lt_succ_self
end Real
section RealContinuousExpComp
variable {α : Type*}
open Real
theorem Filter.Tendsto.rexp {l : Filter α} {f : α → ℝ} {z : ℝ} (hf : Tendsto f l (𝓝 z)) :
Tendsto (fun x => exp (f x)) l (𝓝 (exp z)) :=
(continuous_exp.tendsto _).comp hf
#align filter.tendsto.exp Filter.Tendsto.rexp
variable [TopologicalSpace α] {f : α → ℝ} {s : Set α} {x : α}
nonrec
theorem ContinuousWithinAt.rexp (h : ContinuousWithinAt f s x) :
ContinuousWithinAt (fun y ↦ exp (f y)) s x :=
h.rexp
#align continuous_within_at.exp ContinuousWithinAt.rexp
@[deprecated (since := "2024-05-09")] alias ContinuousWithinAt.exp := ContinuousWithinAt.rexp
@[fun_prop]
nonrec
theorem ContinuousAt.rexp (h : ContinuousAt f x) : ContinuousAt (fun y ↦ exp (f y)) x :=
h.rexp
#align continuous_at.exp ContinuousAt.rexp
@[deprecated (since := "2024-05-09")] alias ContinuousAt.exp := ContinuousAt.rexp
@[fun_prop]
theorem ContinuousOn.rexp (h : ContinuousOn f s) :
ContinuousOn (fun y ↦ exp (f y)) s :=
fun x hx ↦ (h x hx).rexp
#align continuous_on.exp ContinuousOn.rexp
@[deprecated (since := "2024-05-09")] alias ContinuousOn.exp := ContinuousOn.rexp
@[fun_prop]
theorem Continuous.rexp (h : Continuous f) : Continuous fun y ↦ exp (f y) :=
continuous_iff_continuousAt.2 fun _ ↦ h.continuousAt.rexp
#align continuous.exp Continuous.rexp
@[deprecated (since := "2024-05-09")] alias Continuous.exp := Continuous.rexp
end RealContinuousExpComp
namespace Real
variable {α : Type*} {x y z : ℝ} {l : Filter α}
theorem exp_half (x : ℝ) : exp (x / 2) = √(exp x) := by
rw [eq_comm, sqrt_eq_iff_sq_eq, sq, ← exp_add, add_halves] <;> exact (exp_pos _).le
#align real.exp_half Real.exp_half
/-- The real exponential function tends to `+∞` at `+∞`. -/
theorem tendsto_exp_atTop : Tendsto exp atTop atTop := by
have A : Tendsto (fun x : ℝ => x + 1) atTop atTop :=
tendsto_atTop_add_const_right atTop 1 tendsto_id
have B : ∀ᶠ x in atTop, x + 1 ≤ exp x := eventually_atTop.2 ⟨0, fun x _ => add_one_le_exp x⟩
exact tendsto_atTop_mono' atTop B A
#align real.tendsto_exp_at_top Real.tendsto_exp_atTop
/-- The real exponential function tends to `0` at `-∞` or, equivalently, `exp(-x)` tends to `0`
at `+∞` -/
theorem tendsto_exp_neg_atTop_nhds_zero : Tendsto (fun x => exp (-x)) atTop (𝓝 0) :=
(tendsto_inv_atTop_zero.comp tendsto_exp_atTop).congr fun x => (exp_neg x).symm
#align real.tendsto_exp_neg_at_top_nhds_0 Real.tendsto_exp_neg_atTop_nhds_zero
@[deprecated (since := "2024-01-31")]
alias tendsto_exp_neg_atTop_nhds_0 := tendsto_exp_neg_atTop_nhds_zero
/-- The real exponential function tends to `1` at `0`. -/
theorem tendsto_exp_nhds_zero_nhds_one : Tendsto exp (𝓝 0) (𝓝 1) := by
convert continuous_exp.tendsto 0
simp
#align real.tendsto_exp_nhds_0_nhds_1 Real.tendsto_exp_nhds_zero_nhds_one
@[deprecated (since := "2024-01-31")]
alias tendsto_exp_nhds_0_nhds_1 := tendsto_exp_nhds_zero_nhds_one
theorem tendsto_exp_atBot : Tendsto exp atBot (𝓝 0) :=
(tendsto_exp_neg_atTop_nhds_zero.comp tendsto_neg_atBot_atTop).congr fun x =>
congr_arg exp <| neg_neg x
#align real.tendsto_exp_at_bot Real.tendsto_exp_atBot
theorem tendsto_exp_atBot_nhdsWithin : Tendsto exp atBot (𝓝[>] 0) :=
tendsto_inf.2 ⟨tendsto_exp_atBot, tendsto_principal.2 <| eventually_of_forall exp_pos⟩
#align real.tendsto_exp_at_bot_nhds_within Real.tendsto_exp_atBot_nhdsWithin
@[simp]
theorem isBoundedUnder_ge_exp_comp (l : Filter α) (f : α → ℝ) :
IsBoundedUnder (· ≥ ·) l fun x => exp (f x) :=
isBoundedUnder_of ⟨0, fun _ => (exp_pos _).le⟩
#align real.is_bounded_under_ge_exp_comp Real.isBoundedUnder_ge_exp_comp
@[simp]
theorem isBoundedUnder_le_exp_comp {f : α → ℝ} :
(IsBoundedUnder (· ≤ ·) l fun x => exp (f x)) ↔ IsBoundedUnder (· ≤ ·) l f :=
exp_monotone.isBoundedUnder_le_comp_iff tendsto_exp_atTop
#align real.is_bounded_under_le_exp_comp Real.isBoundedUnder_le_exp_comp
/-- The function `exp(x)/x^n` tends to `+∞` at `+∞`, for any natural number `n` -/
theorem tendsto_exp_div_pow_atTop (n : ℕ) : Tendsto (fun x => exp x / x ^ n) atTop atTop := by
refine (atTop_basis_Ioi.tendsto_iff (atTop_basis' 1)).2 fun C hC₁ => ?_
have hC₀ : 0 < C := zero_lt_one.trans_le hC₁
have : 0 < (exp 1 * C)⁻¹ := inv_pos.2 (mul_pos (exp_pos _) hC₀)
obtain ⟨N, hN⟩ : ∃ N : ℕ, ∀ k ≥ N, (↑k : ℝ) ^ n / exp 1 ^ k < (exp 1 * C)⁻¹ :=
eventually_atTop.1
((tendsto_pow_const_div_const_pow_of_one_lt n (one_lt_exp_iff.2 zero_lt_one)).eventually
(gt_mem_nhds this))
simp only [← exp_nat_mul, mul_one, div_lt_iff, exp_pos, ← div_eq_inv_mul] at hN
refine ⟨N, trivial, fun x hx => ?_⟩
rw [Set.mem_Ioi] at hx
have hx₀ : 0 < x := (Nat.cast_nonneg N).trans_lt hx
rw [Set.mem_Ici, le_div_iff (pow_pos hx₀ _), ← le_div_iff' hC₀]
calc
x ^ n ≤ ⌈x⌉₊ ^ n := mod_cast pow_le_pow_left hx₀.le (Nat.le_ceil _) _
_ ≤ exp ⌈x⌉₊ / (exp 1 * C) := mod_cast (hN _ (Nat.lt_ceil.2 hx).le).le
_ ≤ exp (x + 1) / (exp 1 * C) := by gcongr; exact (Nat.ceil_lt_add_one hx₀.le).le
_ = exp x / C := by rw [add_comm, exp_add, mul_div_mul_left _ _ (exp_pos _).ne']
#align real.tendsto_exp_div_pow_at_top Real.tendsto_exp_div_pow_atTop
/-- The function `x^n * exp(-x)` tends to `0` at `+∞`, for any natural number `n`. -/
theorem tendsto_pow_mul_exp_neg_atTop_nhds_zero (n : ℕ) :
Tendsto (fun x => x ^ n * exp (-x)) atTop (𝓝 0) :=
(tendsto_inv_atTop_zero.comp (tendsto_exp_div_pow_atTop n)).congr fun x => by
rw [comp_apply, inv_eq_one_div, div_div_eq_mul_div, one_mul, div_eq_mul_inv, exp_neg]
#align real.tendsto_pow_mul_exp_neg_at_top_nhds_0 Real.tendsto_pow_mul_exp_neg_atTop_nhds_zero
@[deprecated (since := "2024-01-31")]
alias tendsto_pow_mul_exp_neg_atTop_nhds_0 := tendsto_pow_mul_exp_neg_atTop_nhds_zero
/-- The function `(b * exp x + c) / (x ^ n)` tends to `+∞` at `+∞`, for any natural number
`n` and any real numbers `b` and `c` such that `b` is positive. -/
theorem tendsto_mul_exp_add_div_pow_atTop (b c : ℝ) (n : ℕ) (hb : 0 < b) :
Tendsto (fun x => (b * exp x + c) / x ^ n) atTop atTop := by
rcases eq_or_ne n 0 with (rfl | hn)
· simp only [pow_zero, div_one]
exact (tendsto_exp_atTop.const_mul_atTop hb).atTop_add tendsto_const_nhds
simp only [add_div, mul_div_assoc]
exact
((tendsto_exp_div_pow_atTop n).const_mul_atTop hb).atTop_add
(tendsto_const_nhds.div_atTop (tendsto_pow_atTop hn))
#align real.tendsto_mul_exp_add_div_pow_at_top Real.tendsto_mul_exp_add_div_pow_atTop
/-- The function `(x ^ n) / (b * exp x + c)` tends to `0` at `+∞`, for any natural number
`n` and any real numbers `b` and `c` such that `b` is nonzero. -/
theorem tendsto_div_pow_mul_exp_add_atTop (b c : ℝ) (n : ℕ) (hb : 0 ≠ b) :
Tendsto (fun x => x ^ n / (b * exp x + c)) atTop (𝓝 0) := by
have H : ∀ d e, 0 < d → Tendsto (fun x : ℝ => x ^ n / (d * exp x + e)) atTop (𝓝 0) := by
intro b' c' h
convert (tendsto_mul_exp_add_div_pow_atTop b' c' n h).inv_tendsto_atTop using 1
ext x
simp
cases' lt_or_gt_of_ne hb with h h
· exact H b c h
· convert (H (-b) (-c) (neg_pos.mpr h)).neg using 1
· ext x
field_simp
rw [← neg_add (b * exp x) c, neg_div_neg_eq]
· rw [neg_zero]
#align real.tendsto_div_pow_mul_exp_add_at_top Real.tendsto_div_pow_mul_exp_add_atTop
/-- `Real.exp` as an order isomorphism between `ℝ` and `(0, +∞)`. -/
def expOrderIso : ℝ ≃o Ioi (0 : ℝ) :=
StrictMono.orderIsoOfSurjective _ (exp_strictMono.codRestrict exp_pos) <|
(continuous_exp.subtype_mk _).surjective
(by simp only [tendsto_Ioi_atTop, Subtype.coe_mk, tendsto_exp_atTop])
(by simp [tendsto_exp_atBot_nhdsWithin])
#align real.exp_order_iso Real.expOrderIso
@[simp]
theorem coe_expOrderIso_apply (x : ℝ) : (expOrderIso x : ℝ) = exp x :=
rfl
#align real.coe_exp_order_iso_apply Real.coe_expOrderIso_apply
@[simp]
theorem coe_comp_expOrderIso : (↑) ∘ expOrderIso = exp :=
rfl
#align real.coe_comp_exp_order_iso Real.coe_comp_expOrderIso
@[simp]
theorem range_exp : range exp = Set.Ioi 0 := by
rw [← coe_comp_expOrderIso, range_comp, expOrderIso.range_eq, image_univ, Subtype.range_coe]
#align real.range_exp Real.range_exp
@[simp]
theorem map_exp_atTop : map exp atTop = atTop := by
rw [← coe_comp_expOrderIso, ← Filter.map_map, OrderIso.map_atTop, map_val_Ioi_atTop]
#align real.map_exp_at_top Real.map_exp_atTop
@[simp]
theorem comap_exp_atTop : comap exp atTop = atTop := by
rw [← map_exp_atTop, comap_map exp_injective, map_exp_atTop]
#align real.comap_exp_at_top Real.comap_exp_atTop
@[simp]
theorem tendsto_exp_comp_atTop {f : α → ℝ} :
Tendsto (fun x => exp (f x)) l atTop ↔ Tendsto f l atTop := by
simp_rw [← comp_apply (f := exp), ← tendsto_comap_iff, comap_exp_atTop]
#align real.tendsto_exp_comp_at_top Real.tendsto_exp_comp_atTop
theorem tendsto_comp_exp_atTop {f : ℝ → α} :
Tendsto (fun x => f (exp x)) atTop l ↔ Tendsto f atTop l := by
simp_rw [← comp_apply (g := exp), ← tendsto_map'_iff, map_exp_atTop]
#align real.tendsto_comp_exp_at_top Real.tendsto_comp_exp_atTop
@[simp]
theorem map_exp_atBot : map exp atBot = 𝓝[>] 0 := by
rw [← coe_comp_expOrderIso, ← Filter.map_map, expOrderIso.map_atBot, ← map_coe_Ioi_atBot]
#align real.map_exp_at_bot Real.map_exp_atBot
@[simp]
theorem comap_exp_nhdsWithin_Ioi_zero : comap exp (𝓝[>] 0) = atBot := by
rw [← map_exp_atBot, comap_map exp_injective]
#align real.comap_exp_nhds_within_Ioi_zero Real.comap_exp_nhdsWithin_Ioi_zero
theorem tendsto_comp_exp_atBot {f : ℝ → α} :
Tendsto (fun x => f (exp x)) atBot l ↔ Tendsto f (𝓝[>] 0) l := by
rw [← map_exp_atBot, tendsto_map'_iff]
rfl
#align real.tendsto_comp_exp_at_bot Real.tendsto_comp_exp_atBot
@[simp]
theorem comap_exp_nhds_zero : comap exp (𝓝 0) = atBot :=
(comap_nhdsWithin_range exp 0).symm.trans <| by simp
#align real.comap_exp_nhds_zero Real.comap_exp_nhds_zero
@[simp]
theorem tendsto_exp_comp_nhds_zero {f : α → ℝ} :
Tendsto (fun x => exp (f x)) l (𝓝 0) ↔ Tendsto f l atBot := by
simp_rw [← comp_apply (f := exp), ← tendsto_comap_iff, comap_exp_nhds_zero]
#align real.tendsto_exp_comp_nhds_zero Real.tendsto_exp_comp_nhds_zero
-- Porting note (#10756): new lemma
theorem openEmbedding_exp : OpenEmbedding exp :=
isOpen_Ioi.openEmbedding_subtype_val.comp expOrderIso.toHomeomorph.openEmbedding
-- Porting note (#10756): new lemma;
-- Porting note (#11215): TODO: backport & make `@[simp]`
theorem map_exp_nhds (x : ℝ) : map exp (𝓝 x) = 𝓝 (exp x) :=
openEmbedding_exp.map_nhds_eq x
-- Porting note (#10756): new lemma;
-- Porting note (#11215): TODO: backport & make `@[simp]`
theorem comap_exp_nhds_exp (x : ℝ) : comap exp (𝓝 (exp x)) = 𝓝 x :=
(openEmbedding_exp.nhds_eq_comap x).symm
theorem isLittleO_pow_exp_atTop {n : ℕ} : (fun x : ℝ => x ^ n) =o[atTop] Real.exp := by
simpa [isLittleO_iff_tendsto fun x hx => ((exp_pos x).ne' hx).elim] using
tendsto_div_pow_mul_exp_add_atTop 1 0 n zero_ne_one
#align real.is_o_pow_exp_at_top Real.isLittleO_pow_exp_atTop
@[simp]
theorem isBigO_exp_comp_exp_comp {f g : α → ℝ} :
((fun x => exp (f x)) =O[l] fun x => exp (g x)) ↔ IsBoundedUnder (· ≤ ·) l (f - g) :=
Iff.trans (isBigO_iff_isBoundedUnder_le_div <| eventually_of_forall fun x => exp_ne_zero _) <| by
simp only [norm_eq_abs, abs_exp, ← exp_sub, isBoundedUnder_le_exp_comp, Pi.sub_def]
set_option linter.uppercaseLean3 false in
#align real.is_O_exp_comp_exp_comp Real.isBigO_exp_comp_exp_comp
@[simp]
theorem isTheta_exp_comp_exp_comp {f g : α → ℝ} :
((fun x => exp (f x)) =Θ[l] fun x => exp (g x)) ↔
IsBoundedUnder (· ≤ ·) l fun x => |f x - g x| := by
simp only [isBoundedUnder_le_abs, ← isBoundedUnder_le_neg, neg_sub, IsTheta,
isBigO_exp_comp_exp_comp, Pi.sub_def]
set_option linter.uppercaseLean3 false in
#align real.is_Theta_exp_comp_exp_comp Real.isTheta_exp_comp_exp_comp
@[simp]
theorem isLittleO_exp_comp_exp_comp {f g : α → ℝ} :
((fun x => exp (f x)) =o[l] fun x => exp (g x)) ↔ Tendsto (fun x => g x - f x) l atTop := by
simp only [isLittleO_iff_tendsto, exp_ne_zero, ← exp_sub, ← tendsto_neg_atTop_iff, false_imp_iff,
imp_true_iff, tendsto_exp_comp_nhds_zero, neg_sub]
#align real.is_o_exp_comp_exp_comp Real.isLittleO_exp_comp_exp_comp
-- Porting note (#10618): @[simp] can prove: by simp only [@Asymptotics.isLittleO_one_left_iff,
-- Real.norm_eq_abs, Real.abs_exp, @Real.tendsto_exp_comp_atTop]
theorem isLittleO_one_exp_comp {f : α → ℝ} :
((fun _ => 1 : α → ℝ) =o[l] fun x => exp (f x)) ↔ Tendsto f l atTop := by
simp only [← exp_zero, isLittleO_exp_comp_exp_comp, sub_zero]
#align real.is_o_one_exp_comp Real.isLittleO_one_exp_comp
/-- `Real.exp (f x)` is bounded away from zero along a filter if and only if this filter is bounded
from below under `f`. -/
@[simp]
theorem isBigO_one_exp_comp {f : α → ℝ} :
((fun _ => 1 : α → ℝ) =O[l] fun x => exp (f x)) ↔ IsBoundedUnder (· ≥ ·) l f := by
simp only [← exp_zero, isBigO_exp_comp_exp_comp, Pi.sub_def, zero_sub, isBoundedUnder_le_neg]
set_option linter.uppercaseLean3 false in
#align real.is_O_one_exp_comp Real.isBigO_one_exp_comp
/-- `Real.exp (f x)` is bounded away from zero along a filter if and only if this filter is bounded
from below under `f`. -/
theorem isBigO_exp_comp_one {f : α → ℝ} :
(fun x => exp (f x)) =O[l] (fun _ => 1 : α → ℝ) ↔ IsBoundedUnder (· ≤ ·) l f := by
simp only [isBigO_one_iff, norm_eq_abs, abs_exp, isBoundedUnder_le_exp_comp]
set_option linter.uppercaseLean3 false in
#align real.is_O_exp_comp_one Real.isBigO_exp_comp_one
/-- `Real.exp (f x)` is bounded away from zero and infinity along a filter `l` if and only if
`|f x|` is bounded from above along this filter. -/
@[simp]
theorem isTheta_exp_comp_one {f : α → ℝ} :
(fun x => exp (f x)) =Θ[l] (fun _ => 1 : α → ℝ) ↔ IsBoundedUnder (· ≤ ·) l fun x => |f x| := by
simp only [← exp_zero, isTheta_exp_comp_exp_comp, sub_zero]
set_option linter.uppercaseLean3 false in
#align real.is_Theta_exp_comp_one Real.isTheta_exp_comp_one
lemma summable_exp_nat_mul_iff {a : ℝ} :
Summable (fun n : ℕ ↦ exp (n * a)) ↔ a < 0 := by
simp only [exp_nat_mul, summable_geometric_iff_norm_lt_one, norm_of_nonneg (exp_nonneg _),
exp_lt_one_iff]
lemma summable_exp_neg_nat : Summable fun n : ℕ ↦ exp (-n) := by
simpa only [mul_neg_one] using summable_exp_nat_mul_iff.mpr neg_one_lt_zero
lemma summable_pow_mul_exp_neg_nat_mul (k : ℕ) {r : ℝ} (hr : 0 < r) :
Summable fun n : ℕ ↦ n ^ k * exp (-r * n) := by
simp_rw [mul_comm (-r), exp_nat_mul]
apply summable_pow_mul_geometric_of_norm_lt_one
rwa [norm_of_nonneg (exp_nonneg _), exp_lt_one_iff, neg_lt_zero]
end Real
open Real in
/-- If `f` has sum `a`, then `exp ∘ f` has product `exp a`. -/
lemma HasSum.rexp {ι} {f : ι → ℝ} {a : ℝ} (h : HasSum f a) : HasProd (rexp ∘ f) (rexp a) :=
Tendsto.congr (fun s ↦ exp_sum s f) <| Tendsto.rexp h
namespace Complex
@[simp]
theorem comap_exp_cobounded : comap exp (cobounded ℂ) = comap re atTop :=
calc
comap exp (cobounded ℂ) = comap re (comap Real.exp atTop) := by
simp only [← comap_norm_atTop, Complex.norm_eq_abs, comap_comap, (· ∘ ·), abs_exp]
_ = comap re atTop := by rw [Real.comap_exp_atTop]
#align complex.comap_exp_comap_abs_at_top Complex.comap_exp_cobounded
@[simp]
theorem comap_exp_nhds_zero : comap exp (𝓝 0) = comap re atBot :=
calc
comap exp (𝓝 0) = comap re (comap Real.exp (𝓝 0)) := by
simp only [comap_comap, ← comap_abs_nhds_zero, (· ∘ ·), abs_exp]
_ = comap re atBot := by rw [Real.comap_exp_nhds_zero]
#align complex.comap_exp_nhds_zero Complex.comap_exp_nhds_zero
| Mathlib/Analysis/SpecialFunctions/Exp.lean | 500 | 502 | theorem comap_exp_nhdsWithin_zero : comap exp (𝓝[≠] 0) = comap re atBot := by |
have : (exp ⁻¹' {0})ᶜ = Set.univ := eq_univ_of_forall exp_ne_zero
simp [nhdsWithin, comap_exp_nhds_zero, this]
|
/-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Jeremy Avigad
-/
import Mathlib.Algebra.Order.Ring.Defs
import Mathlib.Data.Set.Finite
#align_import order.filter.basic from "leanprover-community/mathlib"@"d4f691b9e5f94cfc64639973f3544c95f8d5d494"
/-!
# Theory of filters on sets
## Main definitions
* `Filter` : filters on a set;
* `Filter.principal` : filter of all sets containing a given set;
* `Filter.map`, `Filter.comap` : operations on filters;
* `Filter.Tendsto` : limit with respect to filters;
* `Filter.Eventually` : `f.eventually p` means `{x | p x} ∈ f`;
* `Filter.Frequently` : `f.frequently p` means `{x | ¬p x} ∉ f`;
* `filter_upwards [h₁, ..., hₙ]` :
a tactic that takes a list of proofs `hᵢ : sᵢ ∈ f`,
and replaces a goal `s ∈ f` with `∀ x, x ∈ s₁ → ... → x ∈ sₙ → x ∈ s`;
* `Filter.NeBot f` : a utility class stating that `f` is a non-trivial filter.
Filters on a type `X` are sets of sets of `X` satisfying three conditions. They are mostly used to
abstract two related kinds of ideas:
* *limits*, including finite or infinite limits of sequences, finite or infinite limits of functions
at a point or at infinity, etc...
* *things happening eventually*, including things happening for large enough `n : ℕ`, or near enough
a point `x`, or for close enough pairs of points, or things happening almost everywhere in the
sense of measure theory. Dually, filters can also express the idea of *things happening often*:
for arbitrarily large `n`, or at a point in any neighborhood of given a point etc...
In this file, we define the type `Filter X` of filters on `X`, and endow it with a complete lattice
structure. This structure is lifted from the lattice structure on `Set (Set X)` using the Galois
insertion which maps a filter to its elements in one direction, and an arbitrary set of sets to
the smallest filter containing it in the other direction.
We also prove `Filter` is a monadic functor, with a push-forward operation
`Filter.map` and a pull-back operation `Filter.comap` that form a Galois connections for the
order on filters.
The examples of filters appearing in the description of the two motivating ideas are:
* `(Filter.atTop : Filter ℕ)` : made of sets of `ℕ` containing `{n | n ≥ N}` for some `N`
* `𝓝 x` : made of neighborhoods of `x` in a topological space (defined in topology.basic)
* `𝓤 X` : made of entourages of a uniform space (those space are generalizations of metric spaces
defined in `Mathlib/Topology/UniformSpace/Basic.lean`)
* `MeasureTheory.ae` : made of sets whose complement has zero measure with respect to `μ`
(defined in `Mathlib/MeasureTheory/OuterMeasure/AE`)
The general notion of limit of a map with respect to filters on the source and target types
is `Filter.Tendsto`. It is defined in terms of the order and the push-forward operation.
The predicate "happening eventually" is `Filter.Eventually`, and "happening often" is
`Filter.Frequently`, whose definitions are immediate after `Filter` is defined (but they come
rather late in this file in order to immediately relate them to the lattice structure).
For instance, anticipating on Topology.Basic, the statement: "if a sequence `u` converges to
some `x` and `u n` belongs to a set `M` for `n` large enough then `x` is in the closure of
`M`" is formalized as: `Tendsto u atTop (𝓝 x) → (∀ᶠ n in atTop, u n ∈ M) → x ∈ closure M`,
which is a special case of `mem_closure_of_tendsto` from Topology.Basic.
## Notations
* `∀ᶠ x in f, p x` : `f.Eventually p`;
* `∃ᶠ x in f, p x` : `f.Frequently p`;
* `f =ᶠ[l] g` : `∀ᶠ x in l, f x = g x`;
* `f ≤ᶠ[l] g` : `∀ᶠ x in l, f x ≤ g x`;
* `𝓟 s` : `Filter.Principal s`, localized in `Filter`.
## References
* [N. Bourbaki, *General Topology*][bourbaki1966]
Important note: Bourbaki requires that a filter on `X` cannot contain all sets of `X`, which
we do *not* require. This gives `Filter X` better formal properties, in particular a bottom element
`⊥` for its lattice structure, at the cost of including the assumption
`[NeBot f]` in a number of lemmas and definitions.
-/
set_option autoImplicit true
open Function Set Order
open scoped Classical
universe u v w x y
/-- A filter `F` on a type `α` is a collection of sets of `α` which contains the whole `α`,
is upwards-closed, and is stable under intersection. We do not forbid this collection to be
all sets of `α`. -/
structure Filter (α : Type*) where
/-- The set of sets that belong to the filter. -/
sets : Set (Set α)
/-- The set `Set.univ` belongs to any filter. -/
univ_sets : Set.univ ∈ sets
/-- If a set belongs to a filter, then its superset belongs to the filter as well. -/
sets_of_superset {x y} : x ∈ sets → x ⊆ y → y ∈ sets
/-- If two sets belong to a filter, then their intersection belongs to the filter as well. -/
inter_sets {x y} : x ∈ sets → y ∈ sets → x ∩ y ∈ sets
#align filter Filter
/-- If `F` is a filter on `α`, and `U` a subset of `α` then we can write `U ∈ F` as on paper. -/
instance {α : Type*} : Membership (Set α) (Filter α) :=
⟨fun U F => U ∈ F.sets⟩
namespace Filter
variable {α : Type u} {f g : Filter α} {s t : Set α}
@[simp]
protected theorem mem_mk {t : Set (Set α)} {h₁ h₂ h₃} : s ∈ mk t h₁ h₂ h₃ ↔ s ∈ t :=
Iff.rfl
#align filter.mem_mk Filter.mem_mk
@[simp]
protected theorem mem_sets : s ∈ f.sets ↔ s ∈ f :=
Iff.rfl
#align filter.mem_sets Filter.mem_sets
instance inhabitedMem : Inhabited { s : Set α // s ∈ f } :=
⟨⟨univ, f.univ_sets⟩⟩
#align filter.inhabited_mem Filter.inhabitedMem
theorem filter_eq : ∀ {f g : Filter α}, f.sets = g.sets → f = g
| ⟨_, _, _, _⟩, ⟨_, _, _, _⟩, rfl => rfl
#align filter.filter_eq Filter.filter_eq
theorem filter_eq_iff : f = g ↔ f.sets = g.sets :=
⟨congr_arg _, filter_eq⟩
#align filter.filter_eq_iff Filter.filter_eq_iff
protected theorem ext_iff : f = g ↔ ∀ s, s ∈ f ↔ s ∈ g := by
simp only [filter_eq_iff, ext_iff, Filter.mem_sets]
#align filter.ext_iff Filter.ext_iff
@[ext]
protected theorem ext : (∀ s, s ∈ f ↔ s ∈ g) → f = g :=
Filter.ext_iff.2
#align filter.ext Filter.ext
/-- An extensionality lemma that is useful for filters with good lemmas about `sᶜ ∈ f` (e.g.,
`Filter.comap`, `Filter.coprod`, `Filter.Coprod`, `Filter.cofinite`). -/
protected theorem coext (h : ∀ s, sᶜ ∈ f ↔ sᶜ ∈ g) : f = g :=
Filter.ext <| compl_surjective.forall.2 h
#align filter.coext Filter.coext
@[simp]
theorem univ_mem : univ ∈ f :=
f.univ_sets
#align filter.univ_mem Filter.univ_mem
theorem mem_of_superset {x y : Set α} (hx : x ∈ f) (hxy : x ⊆ y) : y ∈ f :=
f.sets_of_superset hx hxy
#align filter.mem_of_superset Filter.mem_of_superset
instance : Trans (· ⊇ ·) ((· ∈ ·) : Set α → Filter α → Prop) (· ∈ ·) where
trans h₁ h₂ := mem_of_superset h₂ h₁
theorem inter_mem {s t : Set α} (hs : s ∈ f) (ht : t ∈ f) : s ∩ t ∈ f :=
f.inter_sets hs ht
#align filter.inter_mem Filter.inter_mem
@[simp]
theorem inter_mem_iff {s t : Set α} : s ∩ t ∈ f ↔ s ∈ f ∧ t ∈ f :=
⟨fun h => ⟨mem_of_superset h inter_subset_left, mem_of_superset h inter_subset_right⟩,
and_imp.2 inter_mem⟩
#align filter.inter_mem_iff Filter.inter_mem_iff
theorem diff_mem {s t : Set α} (hs : s ∈ f) (ht : tᶜ ∈ f) : s \ t ∈ f :=
inter_mem hs ht
#align filter.diff_mem Filter.diff_mem
theorem univ_mem' (h : ∀ a, a ∈ s) : s ∈ f :=
mem_of_superset univ_mem fun x _ => h x
#align filter.univ_mem' Filter.univ_mem'
theorem mp_mem (hs : s ∈ f) (h : { x | x ∈ s → x ∈ t } ∈ f) : t ∈ f :=
mem_of_superset (inter_mem hs h) fun _ ⟨h₁, h₂⟩ => h₂ h₁
#align filter.mp_mem Filter.mp_mem
theorem congr_sets (h : { x | x ∈ s ↔ x ∈ t } ∈ f) : s ∈ f ↔ t ∈ f :=
⟨fun hs => mp_mem hs (mem_of_superset h fun _ => Iff.mp), fun hs =>
mp_mem hs (mem_of_superset h fun _ => Iff.mpr)⟩
#align filter.congr_sets Filter.congr_sets
/-- Override `sets` field of a filter to provide better definitional equality. -/
protected def copy (f : Filter α) (S : Set (Set α)) (hmem : ∀ s, s ∈ S ↔ s ∈ f) : Filter α where
sets := S
univ_sets := (hmem _).2 univ_mem
sets_of_superset h hsub := (hmem _).2 <| mem_of_superset ((hmem _).1 h) hsub
inter_sets h₁ h₂ := (hmem _).2 <| inter_mem ((hmem _).1 h₁) ((hmem _).1 h₂)
lemma copy_eq {S} (hmem : ∀ s, s ∈ S ↔ s ∈ f) : f.copy S hmem = f := Filter.ext hmem
@[simp] lemma mem_copy {S hmem} : s ∈ f.copy S hmem ↔ s ∈ S := Iff.rfl
@[simp]
theorem biInter_mem {β : Type v} {s : β → Set α} {is : Set β} (hf : is.Finite) :
(⋂ i ∈ is, s i) ∈ f ↔ ∀ i ∈ is, s i ∈ f :=
Finite.induction_on hf (by simp) fun _ _ hs => by simp [hs]
#align filter.bInter_mem Filter.biInter_mem
@[simp]
theorem biInter_finset_mem {β : Type v} {s : β → Set α} (is : Finset β) :
(⋂ i ∈ is, s i) ∈ f ↔ ∀ i ∈ is, s i ∈ f :=
biInter_mem is.finite_toSet
#align filter.bInter_finset_mem Filter.biInter_finset_mem
alias _root_.Finset.iInter_mem_sets := biInter_finset_mem
#align finset.Inter_mem_sets Finset.iInter_mem_sets
-- attribute [protected] Finset.iInter_mem_sets porting note: doesn't work
@[simp]
theorem sInter_mem {s : Set (Set α)} (hfin : s.Finite) : ⋂₀ s ∈ f ↔ ∀ U ∈ s, U ∈ f := by
rw [sInter_eq_biInter, biInter_mem hfin]
#align filter.sInter_mem Filter.sInter_mem
@[simp]
theorem iInter_mem {β : Sort v} {s : β → Set α} [Finite β] : (⋂ i, s i) ∈ f ↔ ∀ i, s i ∈ f :=
(sInter_mem (finite_range _)).trans forall_mem_range
#align filter.Inter_mem Filter.iInter_mem
theorem exists_mem_subset_iff : (∃ t ∈ f, t ⊆ s) ↔ s ∈ f :=
⟨fun ⟨_, ht, ts⟩ => mem_of_superset ht ts, fun hs => ⟨s, hs, Subset.rfl⟩⟩
#align filter.exists_mem_subset_iff Filter.exists_mem_subset_iff
theorem monotone_mem {f : Filter α} : Monotone fun s => s ∈ f := fun _ _ hst h =>
mem_of_superset h hst
#align filter.monotone_mem Filter.monotone_mem
theorem exists_mem_and_iff {P : Set α → Prop} {Q : Set α → Prop} (hP : Antitone P)
(hQ : Antitone Q) : ((∃ u ∈ f, P u) ∧ ∃ u ∈ f, Q u) ↔ ∃ u ∈ f, P u ∧ Q u := by
constructor
· rintro ⟨⟨u, huf, hPu⟩, v, hvf, hQv⟩
exact
⟨u ∩ v, inter_mem huf hvf, hP inter_subset_left hPu, hQ inter_subset_right hQv⟩
· rintro ⟨u, huf, hPu, hQu⟩
exact ⟨⟨u, huf, hPu⟩, u, huf, hQu⟩
#align filter.exists_mem_and_iff Filter.exists_mem_and_iff
theorem forall_in_swap {β : Type*} {p : Set α → β → Prop} :
(∀ a ∈ f, ∀ (b), p a b) ↔ ∀ (b), ∀ a ∈ f, p a b :=
Set.forall_in_swap
#align filter.forall_in_swap Filter.forall_in_swap
end Filter
namespace Mathlib.Tactic
open Lean Meta Elab Tactic
/--
`filter_upwards [h₁, ⋯, hₙ]` replaces a goal of the form `s ∈ f` and terms
`h₁ : t₁ ∈ f, ⋯, hₙ : tₙ ∈ f` with `∀ x, x ∈ t₁ → ⋯ → x ∈ tₙ → x ∈ s`.
The list is an optional parameter, `[]` being its default value.
`filter_upwards [h₁, ⋯, hₙ] with a₁ a₂ ⋯ aₖ` is a short form for
`{ filter_upwards [h₁, ⋯, hₙ], intros a₁ a₂ ⋯ aₖ }`.
`filter_upwards [h₁, ⋯, hₙ] using e` is a short form for
`{ filter_upwards [h1, ⋯, hn], exact e }`.
Combining both shortcuts is done by writing `filter_upwards [h₁, ⋯, hₙ] with a₁ a₂ ⋯ aₖ using e`.
Note that in this case, the `aᵢ` terms can be used in `e`.
-/
syntax (name := filterUpwards) "filter_upwards" (" [" term,* "]")?
(" with" (ppSpace colGt term:max)*)? (" using " term)? : tactic
elab_rules : tactic
| `(tactic| filter_upwards $[[$[$args],*]]? $[with $wth*]? $[using $usingArg]?) => do
let config : ApplyConfig := {newGoals := ApplyNewGoals.nonDependentOnly}
for e in args.getD #[] |>.reverse do
let goal ← getMainGoal
replaceMainGoal <| ← goal.withContext <| runTermElab do
let m ← mkFreshExprMVar none
let lem ← Term.elabTermEnsuringType
(← ``(Filter.mp_mem $e $(← Term.exprToSyntax m))) (← goal.getType)
goal.assign lem
return [m.mvarId!]
liftMetaTactic fun goal => do
goal.apply (← mkConstWithFreshMVarLevels ``Filter.univ_mem') config
evalTactic <|← `(tactic| dsimp (config := {zeta := false}) only [Set.mem_setOf_eq])
if let some l := wth then
evalTactic <|← `(tactic| intro $[$l]*)
if let some e := usingArg then
evalTactic <|← `(tactic| exact $e)
end Mathlib.Tactic
namespace Filter
variable {α : Type u} {β : Type v} {γ : Type w} {δ : Type*} {ι : Sort x}
section Principal
/-- The principal filter of `s` is the collection of all supersets of `s`. -/
def principal (s : Set α) : Filter α where
sets := { t | s ⊆ t }
univ_sets := subset_univ s
sets_of_superset hx := Subset.trans hx
inter_sets := subset_inter
#align filter.principal Filter.principal
@[inherit_doc]
scoped notation "𝓟" => Filter.principal
@[simp] theorem mem_principal {s t : Set α} : s ∈ 𝓟 t ↔ t ⊆ s := Iff.rfl
#align filter.mem_principal Filter.mem_principal
theorem mem_principal_self (s : Set α) : s ∈ 𝓟 s := Subset.rfl
#align filter.mem_principal_self Filter.mem_principal_self
end Principal
open Filter
section Join
/-- The join of a filter of filters is defined by the relation `s ∈ join f ↔ {t | s ∈ t} ∈ f`. -/
def join (f : Filter (Filter α)) : Filter α where
sets := { s | { t : Filter α | s ∈ t } ∈ f }
univ_sets := by simp only [mem_setOf_eq, univ_sets, ← Filter.mem_sets, setOf_true]
sets_of_superset hx xy := mem_of_superset hx fun f h => mem_of_superset h xy
inter_sets hx hy := mem_of_superset (inter_mem hx hy) fun f ⟨h₁, h₂⟩ => inter_mem h₁ h₂
#align filter.join Filter.join
@[simp]
theorem mem_join {s : Set α} {f : Filter (Filter α)} : s ∈ join f ↔ { t | s ∈ t } ∈ f :=
Iff.rfl
#align filter.mem_join Filter.mem_join
end Join
section Lattice
variable {f g : Filter α} {s t : Set α}
instance : PartialOrder (Filter α) where
le f g := ∀ ⦃U : Set α⦄, U ∈ g → U ∈ f
le_antisymm a b h₁ h₂ := filter_eq <| Subset.antisymm h₂ h₁
le_refl a := Subset.rfl
le_trans a b c h₁ h₂ := Subset.trans h₂ h₁
theorem le_def : f ≤ g ↔ ∀ x ∈ g, x ∈ f :=
Iff.rfl
#align filter.le_def Filter.le_def
protected theorem not_le : ¬f ≤ g ↔ ∃ s ∈ g, s ∉ f := by simp_rw [le_def, not_forall, exists_prop]
#align filter.not_le Filter.not_le
/-- `GenerateSets g s`: `s` is in the filter closure of `g`. -/
inductive GenerateSets (g : Set (Set α)) : Set α → Prop
| basic {s : Set α} : s ∈ g → GenerateSets g s
| univ : GenerateSets g univ
| superset {s t : Set α} : GenerateSets g s → s ⊆ t → GenerateSets g t
| inter {s t : Set α} : GenerateSets g s → GenerateSets g t → GenerateSets g (s ∩ t)
#align filter.generate_sets Filter.GenerateSets
/-- `generate g` is the largest filter containing the sets `g`. -/
def generate (g : Set (Set α)) : Filter α where
sets := {s | GenerateSets g s}
univ_sets := GenerateSets.univ
sets_of_superset := GenerateSets.superset
inter_sets := GenerateSets.inter
#align filter.generate Filter.generate
lemma mem_generate_of_mem {s : Set <| Set α} {U : Set α} (h : U ∈ s) :
U ∈ generate s := GenerateSets.basic h
theorem le_generate_iff {s : Set (Set α)} {f : Filter α} : f ≤ generate s ↔ s ⊆ f.sets :=
Iff.intro (fun h _ hu => h <| GenerateSets.basic <| hu) fun h _ hu =>
hu.recOn (fun h' => h h') univ_mem (fun _ hxy hx => mem_of_superset hx hxy) fun _ _ hx hy =>
inter_mem hx hy
#align filter.sets_iff_generate Filter.le_generate_iff
theorem mem_generate_iff {s : Set <| Set α} {U : Set α} :
U ∈ generate s ↔ ∃ t ⊆ s, Set.Finite t ∧ ⋂₀ t ⊆ U := by
constructor <;> intro h
· induction h with
| @basic V V_in =>
exact ⟨{V}, singleton_subset_iff.2 V_in, finite_singleton _, (sInter_singleton _).subset⟩
| univ => exact ⟨∅, empty_subset _, finite_empty, subset_univ _⟩
| superset _ hVW hV =>
rcases hV with ⟨t, hts, ht, htV⟩
exact ⟨t, hts, ht, htV.trans hVW⟩
| inter _ _ hV hW =>
rcases hV, hW with ⟨⟨t, hts, ht, htV⟩, u, hus, hu, huW⟩
exact
⟨t ∪ u, union_subset hts hus, ht.union hu,
(sInter_union _ _).subset.trans <| inter_subset_inter htV huW⟩
· rcases h with ⟨t, hts, tfin, h⟩
exact mem_of_superset ((sInter_mem tfin).2 fun V hV => GenerateSets.basic <| hts hV) h
#align filter.mem_generate_iff Filter.mem_generate_iff
@[simp] lemma generate_singleton (s : Set α) : generate {s} = 𝓟 s :=
le_antisymm (fun _t ht ↦ mem_of_superset (mem_generate_of_mem <| mem_singleton _) ht) <|
le_generate_iff.2 <| singleton_subset_iff.2 Subset.rfl
/-- `mkOfClosure s hs` constructs a filter on `α` whose elements set is exactly
`s : Set (Set α)`, provided one gives the assumption `hs : (generate s).sets = s`. -/
protected def mkOfClosure (s : Set (Set α)) (hs : (generate s).sets = s) : Filter α where
sets := s
univ_sets := hs ▸ univ_mem
sets_of_superset := hs ▸ mem_of_superset
inter_sets := hs ▸ inter_mem
#align filter.mk_of_closure Filter.mkOfClosure
theorem mkOfClosure_sets {s : Set (Set α)} {hs : (generate s).sets = s} :
Filter.mkOfClosure s hs = generate s :=
Filter.ext fun u =>
show u ∈ (Filter.mkOfClosure s hs).sets ↔ u ∈ (generate s).sets from hs.symm ▸ Iff.rfl
#align filter.mk_of_closure_sets Filter.mkOfClosure_sets
/-- Galois insertion from sets of sets into filters. -/
def giGenerate (α : Type*) :
@GaloisInsertion (Set (Set α)) (Filter α)ᵒᵈ _ _ Filter.generate Filter.sets where
gc _ _ := le_generate_iff
le_l_u _ _ h := GenerateSets.basic h
choice s hs := Filter.mkOfClosure s (le_antisymm hs <| le_generate_iff.1 <| le_rfl)
choice_eq _ _ := mkOfClosure_sets
#align filter.gi_generate Filter.giGenerate
/-- The infimum of filters is the filter generated by intersections
of elements of the two filters. -/
instance : Inf (Filter α) :=
⟨fun f g : Filter α =>
{ sets := { s | ∃ a ∈ f, ∃ b ∈ g, s = a ∩ b }
univ_sets := ⟨_, univ_mem, _, univ_mem, by simp⟩
sets_of_superset := by
rintro x y ⟨a, ha, b, hb, rfl⟩ xy
refine
⟨a ∪ y, mem_of_superset ha subset_union_left, b ∪ y,
mem_of_superset hb subset_union_left, ?_⟩
rw [← inter_union_distrib_right, union_eq_self_of_subset_left xy]
inter_sets := by
rintro x y ⟨a, ha, b, hb, rfl⟩ ⟨c, hc, d, hd, rfl⟩
refine ⟨a ∩ c, inter_mem ha hc, b ∩ d, inter_mem hb hd, ?_⟩
ac_rfl }⟩
theorem mem_inf_iff {f g : Filter α} {s : Set α} : s ∈ f ⊓ g ↔ ∃ t₁ ∈ f, ∃ t₂ ∈ g, s = t₁ ∩ t₂ :=
Iff.rfl
#align filter.mem_inf_iff Filter.mem_inf_iff
theorem mem_inf_of_left {f g : Filter α} {s : Set α} (h : s ∈ f) : s ∈ f ⊓ g :=
⟨s, h, univ, univ_mem, (inter_univ s).symm⟩
#align filter.mem_inf_of_left Filter.mem_inf_of_left
theorem mem_inf_of_right {f g : Filter α} {s : Set α} (h : s ∈ g) : s ∈ f ⊓ g :=
⟨univ, univ_mem, s, h, (univ_inter s).symm⟩
#align filter.mem_inf_of_right Filter.mem_inf_of_right
theorem inter_mem_inf {α : Type u} {f g : Filter α} {s t : Set α} (hs : s ∈ f) (ht : t ∈ g) :
s ∩ t ∈ f ⊓ g :=
⟨s, hs, t, ht, rfl⟩
#align filter.inter_mem_inf Filter.inter_mem_inf
theorem mem_inf_of_inter {f g : Filter α} {s t u : Set α} (hs : s ∈ f) (ht : t ∈ g)
(h : s ∩ t ⊆ u) : u ∈ f ⊓ g :=
mem_of_superset (inter_mem_inf hs ht) h
#align filter.mem_inf_of_inter Filter.mem_inf_of_inter
theorem mem_inf_iff_superset {f g : Filter α} {s : Set α} :
s ∈ f ⊓ g ↔ ∃ t₁ ∈ f, ∃ t₂ ∈ g, t₁ ∩ t₂ ⊆ s :=
⟨fun ⟨t₁, h₁, t₂, h₂, Eq⟩ => ⟨t₁, h₁, t₂, h₂, Eq ▸ Subset.rfl⟩, fun ⟨_, h₁, _, h₂, sub⟩ =>
mem_inf_of_inter h₁ h₂ sub⟩
#align filter.mem_inf_iff_superset Filter.mem_inf_iff_superset
instance : Top (Filter α) :=
⟨{ sets := { s | ∀ x, x ∈ s }
univ_sets := fun x => mem_univ x
sets_of_superset := fun hx hxy a => hxy (hx a)
inter_sets := fun hx hy _ => mem_inter (hx _) (hy _) }⟩
theorem mem_top_iff_forall {s : Set α} : s ∈ (⊤ : Filter α) ↔ ∀ x, x ∈ s :=
Iff.rfl
#align filter.mem_top_iff_forall Filter.mem_top_iff_forall
@[simp]
theorem mem_top {s : Set α} : s ∈ (⊤ : Filter α) ↔ s = univ := by
rw [mem_top_iff_forall, eq_univ_iff_forall]
#align filter.mem_top Filter.mem_top
section CompleteLattice
/- We lift the complete lattice along the Galois connection `generate` / `sets`. Unfortunately,
we want to have different definitional equalities for some lattice operations. So we define them
upfront and change the lattice operations for the complete lattice instance. -/
instance instCompleteLatticeFilter : CompleteLattice (Filter α) :=
{ @OrderDual.instCompleteLattice _ (giGenerate α).liftCompleteLattice with
le := (· ≤ ·)
top := ⊤
le_top := fun _ _s hs => (mem_top.1 hs).symm ▸ univ_mem
inf := (· ⊓ ·)
inf_le_left := fun _ _ _ => mem_inf_of_left
inf_le_right := fun _ _ _ => mem_inf_of_right
le_inf := fun _ _ _ h₁ h₂ _s ⟨_a, ha, _b, hb, hs⟩ => hs.symm ▸ inter_mem (h₁ ha) (h₂ hb)
sSup := join ∘ 𝓟
le_sSup := fun _ _f hf _s hs => hs hf
sSup_le := fun _ _f hf _s hs _g hg => hf _ hg hs }
instance : Inhabited (Filter α) := ⟨⊥⟩
end CompleteLattice
/-- A filter is `NeBot` if it is not equal to `⊥`, or equivalently the empty set does not belong to
the filter. Bourbaki include this assumption in the definition of a filter but we prefer to have a
`CompleteLattice` structure on `Filter _`, so we use a typeclass argument in lemmas instead. -/
class NeBot (f : Filter α) : Prop where
/-- The filter is nontrivial: `f ≠ ⊥` or equivalently, `∅ ∉ f`. -/
ne' : f ≠ ⊥
#align filter.ne_bot Filter.NeBot
theorem neBot_iff {f : Filter α} : NeBot f ↔ f ≠ ⊥ :=
⟨fun h => h.1, fun h => ⟨h⟩⟩
#align filter.ne_bot_iff Filter.neBot_iff
theorem NeBot.ne {f : Filter α} (hf : NeBot f) : f ≠ ⊥ := hf.ne'
#align filter.ne_bot.ne Filter.NeBot.ne
@[simp] theorem not_neBot {f : Filter α} : ¬f.NeBot ↔ f = ⊥ := neBot_iff.not_left
#align filter.not_ne_bot Filter.not_neBot
theorem NeBot.mono {f g : Filter α} (hf : NeBot f) (hg : f ≤ g) : NeBot g :=
⟨ne_bot_of_le_ne_bot hf.1 hg⟩
#align filter.ne_bot.mono Filter.NeBot.mono
theorem neBot_of_le {f g : Filter α} [hf : NeBot f] (hg : f ≤ g) : NeBot g :=
hf.mono hg
#align filter.ne_bot_of_le Filter.neBot_of_le
@[simp] theorem sup_neBot {f g : Filter α} : NeBot (f ⊔ g) ↔ NeBot f ∨ NeBot g := by
simp only [neBot_iff, not_and_or, Ne, sup_eq_bot_iff]
#align filter.sup_ne_bot Filter.sup_neBot
theorem not_disjoint_self_iff : ¬Disjoint f f ↔ f.NeBot := by rw [disjoint_self, neBot_iff]
#align filter.not_disjoint_self_iff Filter.not_disjoint_self_iff
theorem bot_sets_eq : (⊥ : Filter α).sets = univ := rfl
#align filter.bot_sets_eq Filter.bot_sets_eq
/-- Either `f = ⊥` or `Filter.NeBot f`. This is a version of `eq_or_ne` that uses `Filter.NeBot`
as the second alternative, to be used as an instance. -/
theorem eq_or_neBot (f : Filter α) : f = ⊥ ∨ NeBot f := (eq_or_ne f ⊥).imp_right NeBot.mk
theorem sup_sets_eq {f g : Filter α} : (f ⊔ g).sets = f.sets ∩ g.sets :=
(giGenerate α).gc.u_inf
#align filter.sup_sets_eq Filter.sup_sets_eq
theorem sSup_sets_eq {s : Set (Filter α)} : (sSup s).sets = ⋂ f ∈ s, (f : Filter α).sets :=
(giGenerate α).gc.u_sInf
#align filter.Sup_sets_eq Filter.sSup_sets_eq
theorem iSup_sets_eq {f : ι → Filter α} : (iSup f).sets = ⋂ i, (f i).sets :=
(giGenerate α).gc.u_iInf
#align filter.supr_sets_eq Filter.iSup_sets_eq
theorem generate_empty : Filter.generate ∅ = (⊤ : Filter α) :=
(giGenerate α).gc.l_bot
#align filter.generate_empty Filter.generate_empty
theorem generate_univ : Filter.generate univ = (⊥ : Filter α) :=
bot_unique fun _ _ => GenerateSets.basic (mem_univ _)
#align filter.generate_univ Filter.generate_univ
theorem generate_union {s t : Set (Set α)} :
Filter.generate (s ∪ t) = Filter.generate s ⊓ Filter.generate t :=
(giGenerate α).gc.l_sup
#align filter.generate_union Filter.generate_union
theorem generate_iUnion {s : ι → Set (Set α)} :
Filter.generate (⋃ i, s i) = ⨅ i, Filter.generate (s i) :=
(giGenerate α).gc.l_iSup
#align filter.generate_Union Filter.generate_iUnion
@[simp]
theorem mem_bot {s : Set α} : s ∈ (⊥ : Filter α) :=
trivial
#align filter.mem_bot Filter.mem_bot
@[simp]
theorem mem_sup {f g : Filter α} {s : Set α} : s ∈ f ⊔ g ↔ s ∈ f ∧ s ∈ g :=
Iff.rfl
#align filter.mem_sup Filter.mem_sup
theorem union_mem_sup {f g : Filter α} {s t : Set α} (hs : s ∈ f) (ht : t ∈ g) : s ∪ t ∈ f ⊔ g :=
⟨mem_of_superset hs subset_union_left, mem_of_superset ht subset_union_right⟩
#align filter.union_mem_sup Filter.union_mem_sup
@[simp]
theorem mem_sSup {x : Set α} {s : Set (Filter α)} : x ∈ sSup s ↔ ∀ f ∈ s, x ∈ (f : Filter α) :=
Iff.rfl
#align filter.mem_Sup Filter.mem_sSup
@[simp]
theorem mem_iSup {x : Set α} {f : ι → Filter α} : x ∈ iSup f ↔ ∀ i, x ∈ f i := by
simp only [← Filter.mem_sets, iSup_sets_eq, iff_self_iff, mem_iInter]
#align filter.mem_supr Filter.mem_iSup
@[simp]
theorem iSup_neBot {f : ι → Filter α} : (⨆ i, f i).NeBot ↔ ∃ i, (f i).NeBot := by
simp [neBot_iff]
#align filter.supr_ne_bot Filter.iSup_neBot
theorem iInf_eq_generate (s : ι → Filter α) : iInf s = generate (⋃ i, (s i).sets) :=
show generate _ = generate _ from congr_arg _ <| congr_arg sSup <| (range_comp _ _).symm
#align filter.infi_eq_generate Filter.iInf_eq_generate
theorem mem_iInf_of_mem {f : ι → Filter α} (i : ι) {s} (hs : s ∈ f i) : s ∈ ⨅ i, f i :=
iInf_le f i hs
#align filter.mem_infi_of_mem Filter.mem_iInf_of_mem
| Mathlib/Order/Filter/Basic.lean | 614 | 618 | theorem mem_iInf_of_iInter {ι} {s : ι → Filter α} {U : Set α} {I : Set ι} (I_fin : I.Finite)
{V : I → Set α} (hV : ∀ i, V i ∈ s i) (hU : ⋂ i, V i ⊆ U) : U ∈ ⨅ i, s i := by |
haveI := I_fin.fintype
refine mem_of_superset (iInter_mem.2 fun i => ?_) hU
exact mem_iInf_of_mem (i : ι) (hV _)
|
/-
Copyright (c) 2018 Michael Jendrusch. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Michael Jendrusch, Scott Morrison, Bhavik Mehta, Jakob von Raumer
-/
import Mathlib.CategoryTheory.Functor.Trifunctor
import Mathlib.CategoryTheory.Products.Basic
#align_import category_theory.monoidal.category from "leanprover-community/mathlib"@"32253a1a1071173b33dc7d6a218cf722c6feb514"
/-!
# Monoidal categories
A monoidal category is a category equipped with a tensor product, unitors, and an associator.
In the definition, we provide the tensor product as a pair of functions
* `tensorObj : C → C → C`
* `tensorHom : (X₁ ⟶ Y₁) → (X₂ ⟶ Y₂) → ((X₁ ⊗ X₂) ⟶ (Y₁ ⊗ Y₂))`
and allow use of the overloaded notation `⊗` for both.
The unitors and associator are provided componentwise.
The tensor product can be expressed as a functor via `tensor : C × C ⥤ C`.
The unitors and associator are gathered together as natural
isomorphisms in `leftUnitor_nat_iso`, `rightUnitor_nat_iso` and `associator_nat_iso`.
Some consequences of the definition are proved in other files after proving the coherence theorem,
e.g. `(λ_ (𝟙_ C)).hom = (ρ_ (𝟙_ C)).hom` in `CategoryTheory.Monoidal.CoherenceLemmas`.
## Implementation notes
In the definition of monoidal categories, we also provide the whiskering operators:
* `whiskerLeft (X : C) {Y₁ Y₂ : C} (f : Y₁ ⟶ Y₂) : X ⊗ Y₁ ⟶ X ⊗ Y₂`, denoted by `X ◁ f`,
* `whiskerRight {X₁ X₂ : C} (f : X₁ ⟶ X₂) (Y : C) : X₁ ⊗ Y ⟶ X₂ ⊗ Y`, denoted by `f ▷ Y`.
These are products of an object and a morphism (the terminology "whiskering"
is borrowed from 2-category theory). The tensor product of morphisms `tensorHom` can be defined
in terms of the whiskerings. There are two possible such definitions, which are related by
the exchange property of the whiskerings. These two definitions are accessed by `tensorHom_def`
and `tensorHom_def'`. By default, `tensorHom` is defined so that `tensorHom_def` holds
definitionally.
If you want to provide `tensorHom` and define `whiskerLeft` and `whiskerRight` in terms of it,
you can use the alternative constructor `CategoryTheory.MonoidalCategory.ofTensorHom`.
The whiskerings are useful when considering simp-normal forms of morphisms in monoidal categories.
### Simp-normal form for morphisms
Rewriting involving associators and unitors could be very complicated. We try to ease this
complexity by putting carefully chosen simp lemmas that rewrite any morphisms into the simp-normal
form defined below. Rewriting into simp-normal form is especially useful in preprocessing
performed by the `coherence` tactic.
The simp-normal form of morphisms is defined to be an expression that has the minimal number of
parentheses. More precisely,
1. it is a composition of morphisms like `f₁ ≫ f₂ ≫ f₃ ≫ f₄ ≫ f₅` such that each `fᵢ` is
either a structural morphisms (morphisms made up only of identities, associators, unitors)
or non-structural morphisms, and
2. each non-structural morphism in the composition is of the form `X₁ ◁ X₂ ◁ X₃ ◁ f ▷ X₄ ▷ X₅`,
where each `Xᵢ` is a object that is not the identity or a tensor and `f` is a non-structural
morphisms that is not the identity or a composite.
Note that `X₁ ◁ X₂ ◁ X₃ ◁ f ▷ X₄ ▷ X₅` is actually `X₁ ◁ (X₂ ◁ (X₃ ◁ ((f ▷ X₄) ▷ X₅)))`.
Currently, the simp lemmas don't rewrite `𝟙 X ⊗ f` and `f ⊗ 𝟙 Y` into `X ◁ f` and `f ▷ Y`,
respectively, since it requires a huge refactoring. We hope to add these simp lemmas soon.
## References
* Tensor categories, Etingof, Gelaki, Nikshych, Ostrik,
http://www-math.mit.edu/~etingof/egnobookfinal.pdf
* <https://stacks.math.columbia.edu/tag/0FFK>.
-/
universe v u
open CategoryTheory.Category
open CategoryTheory.Iso
namespace CategoryTheory
/-- Auxiliary structure to carry only the data fields of (and provide notation for)
`MonoidalCategory`. -/
class MonoidalCategoryStruct (C : Type u) [𝒞 : Category.{v} C] where
/-- curried tensor product of objects -/
tensorObj : C → C → C
/-- left whiskering for morphisms -/
whiskerLeft (X : C) {Y₁ Y₂ : C} (f : Y₁ ⟶ Y₂) : tensorObj X Y₁ ⟶ tensorObj X Y₂
/-- right whiskering for morphisms -/
whiskerRight {X₁ X₂ : C} (f : X₁ ⟶ X₂) (Y : C) : tensorObj X₁ Y ⟶ tensorObj X₂ Y
/-- Tensor product of identity maps is the identity: `(𝟙 X₁ ⊗ 𝟙 X₂) = 𝟙 (X₁ ⊗ X₂)` -/
-- By default, it is defined in terms of whiskerings.
tensorHom {X₁ Y₁ X₂ Y₂ : C} (f : X₁ ⟶ Y₁) (g: X₂ ⟶ Y₂) : (tensorObj X₁ X₂ ⟶ tensorObj Y₁ Y₂) :=
whiskerRight f X₂ ≫ whiskerLeft Y₁ g
/-- The tensor unity in the monoidal structure `𝟙_ C` -/
tensorUnit : C
/-- The associator isomorphism `(X ⊗ Y) ⊗ Z ≃ X ⊗ (Y ⊗ Z)` -/
associator : ∀ X Y Z : C, tensorObj (tensorObj X Y) Z ≅ tensorObj X (tensorObj Y Z)
/-- The left unitor: `𝟙_ C ⊗ X ≃ X` -/
leftUnitor : ∀ X : C, tensorObj tensorUnit X ≅ X
/-- The right unitor: `X ⊗ 𝟙_ C ≃ X` -/
rightUnitor : ∀ X : C, tensorObj X tensorUnit ≅ X
namespace MonoidalCategory
export MonoidalCategoryStruct
(tensorObj whiskerLeft whiskerRight tensorHom tensorUnit associator leftUnitor rightUnitor)
end MonoidalCategory
namespace MonoidalCategory
/-- Notation for `tensorObj`, the tensor product of objects in a monoidal category -/
scoped infixr:70 " ⊗ " => MonoidalCategoryStruct.tensorObj
/-- Notation for the `whiskerLeft` operator of monoidal categories -/
scoped infixr:81 " ◁ " => MonoidalCategoryStruct.whiskerLeft
/-- Notation for the `whiskerRight` operator of monoidal categories -/
scoped infixl:81 " ▷ " => MonoidalCategoryStruct.whiskerRight
/-- Notation for `tensorHom`, the tensor product of morphisms in a monoidal category -/
scoped infixr:70 " ⊗ " => MonoidalCategoryStruct.tensorHom
/-- Notation for `tensorUnit`, the two-sided identity of `⊗` -/
scoped notation "𝟙_ " C:max => (MonoidalCategoryStruct.tensorUnit : C)
open Lean PrettyPrinter.Delaborator SubExpr in
/-- Used to ensure that `𝟙_` notation is used, as the ascription makes this not automatic. -/
@[delab app.CategoryTheory.MonoidalCategoryStruct.tensorUnit]
def delabTensorUnit : Delab := whenPPOption getPPNotation <| withOverApp 3 do
let e ← getExpr
guard <| e.isAppOfArity ``MonoidalCategoryStruct.tensorUnit 3
let C ← withNaryArg 0 delab
`(𝟙_ $C)
/-- Notation for the monoidal `associator`: `(X ⊗ Y) ⊗ Z ≃ X ⊗ (Y ⊗ Z)` -/
scoped notation "α_" => MonoidalCategoryStruct.associator
/-- Notation for the `leftUnitor`: `𝟙_C ⊗ X ≃ X` -/
scoped notation "λ_" => MonoidalCategoryStruct.leftUnitor
/-- Notation for the `rightUnitor`: `X ⊗ 𝟙_C ≃ X` -/
scoped notation "ρ_" => MonoidalCategoryStruct.rightUnitor
end MonoidalCategory
open MonoidalCategory
/--
In a monoidal category, we can take the tensor product of objects, `X ⊗ Y` and of morphisms `f ⊗ g`.
Tensor product does not need to be strictly associative on objects, but there is a
specified associator, `α_ X Y Z : (X ⊗ Y) ⊗ Z ≅ X ⊗ (Y ⊗ Z)`. There is a tensor unit `𝟙_ C`,
with specified left and right unitor isomorphisms `λ_ X : 𝟙_ C ⊗ X ≅ X` and `ρ_ X : X ⊗ 𝟙_ C ≅ X`.
These associators and unitors satisfy the pentagon and triangle equations.
See <https://stacks.math.columbia.edu/tag/0FFK>.
-/
-- Porting note: The Mathport did not translate the temporary notation
class MonoidalCategory (C : Type u) [𝒞 : Category.{v} C] extends MonoidalCategoryStruct C where
tensorHom_def {X₁ Y₁ X₂ Y₂ : C} (f : X₁ ⟶ Y₁) (g: X₂ ⟶ Y₂) :
f ⊗ g = (f ▷ X₂) ≫ (Y₁ ◁ g) := by
aesop_cat
/-- Tensor product of identity maps is the identity: `(𝟙 X₁ ⊗ 𝟙 X₂) = 𝟙 (X₁ ⊗ X₂)` -/
tensor_id : ∀ X₁ X₂ : C, 𝟙 X₁ ⊗ 𝟙 X₂ = 𝟙 (X₁ ⊗ X₂) := by aesop_cat
/--
Composition of tensor products is tensor product of compositions:
`(f₁ ⊗ g₁) ∘ (f₂ ⊗ g₂) = (f₁ ∘ f₂) ⊗ (g₁ ⊗ g₂)`
-/
tensor_comp :
∀ {X₁ Y₁ Z₁ X₂ Y₂ Z₂ : C} (f₁ : X₁ ⟶ Y₁) (f₂ : X₂ ⟶ Y₂) (g₁ : Y₁ ⟶ Z₁) (g₂ : Y₂ ⟶ Z₂),
(f₁ ≫ g₁) ⊗ (f₂ ≫ g₂) = (f₁ ⊗ f₂) ≫ (g₁ ⊗ g₂) := by
aesop_cat
whiskerLeft_id : ∀ (X Y : C), X ◁ 𝟙 Y = 𝟙 (X ⊗ Y) := by
aesop_cat
id_whiskerRight : ∀ (X Y : C), 𝟙 X ▷ Y = 𝟙 (X ⊗ Y) := by
aesop_cat
/-- Naturality of the associator isomorphism: `(f₁ ⊗ f₂) ⊗ f₃ ≃ f₁ ⊗ (f₂ ⊗ f₃)` -/
associator_naturality :
∀ {X₁ X₂ X₃ Y₁ Y₂ Y₃ : C} (f₁ : X₁ ⟶ Y₁) (f₂ : X₂ ⟶ Y₂) (f₃ : X₃ ⟶ Y₃),
((f₁ ⊗ f₂) ⊗ f₃) ≫ (α_ Y₁ Y₂ Y₃).hom = (α_ X₁ X₂ X₃).hom ≫ (f₁ ⊗ (f₂ ⊗ f₃)) := by
aesop_cat
/--
Naturality of the left unitor, commutativity of `𝟙_ C ⊗ X ⟶ 𝟙_ C ⊗ Y ⟶ Y` and `𝟙_ C ⊗ X ⟶ X ⟶ Y`
-/
leftUnitor_naturality :
∀ {X Y : C} (f : X ⟶ Y), 𝟙_ _ ◁ f ≫ (λ_ Y).hom = (λ_ X).hom ≫ f := by
aesop_cat
/--
Naturality of the right unitor: commutativity of `X ⊗ 𝟙_ C ⟶ Y ⊗ 𝟙_ C ⟶ Y` and `X ⊗ 𝟙_ C ⟶ X ⟶ Y`
-/
rightUnitor_naturality :
∀ {X Y : C} (f : X ⟶ Y), f ▷ 𝟙_ _ ≫ (ρ_ Y).hom = (ρ_ X).hom ≫ f := by
aesop_cat
/--
The pentagon identity relating the isomorphism between `X ⊗ (Y ⊗ (Z ⊗ W))` and `((X ⊗ Y) ⊗ Z) ⊗ W`
-/
pentagon :
∀ W X Y Z : C,
(α_ W X Y).hom ▷ Z ≫ (α_ W (X ⊗ Y) Z).hom ≫ W ◁ (α_ X Y Z).hom =
(α_ (W ⊗ X) Y Z).hom ≫ (α_ W X (Y ⊗ Z)).hom := by
aesop_cat
/--
The identity relating the isomorphisms between `X ⊗ (𝟙_ C ⊗ Y)`, `(X ⊗ 𝟙_ C) ⊗ Y` and `X ⊗ Y`
-/
triangle :
∀ X Y : C, (α_ X (𝟙_ _) Y).hom ≫ X ◁ (λ_ Y).hom = (ρ_ X).hom ▷ Y := by
aesop_cat
#align category_theory.monoidal_category CategoryTheory.MonoidalCategory
attribute [reassoc] MonoidalCategory.tensorHom_def
attribute [reassoc, simp] MonoidalCategory.whiskerLeft_id
attribute [reassoc, simp] MonoidalCategory.id_whiskerRight
attribute [reassoc] MonoidalCategory.tensor_comp
attribute [simp] MonoidalCategory.tensor_comp
attribute [reassoc] MonoidalCategory.associator_naturality
attribute [reassoc] MonoidalCategory.leftUnitor_naturality
attribute [reassoc] MonoidalCategory.rightUnitor_naturality
attribute [reassoc (attr := simp)] MonoidalCategory.pentagon
attribute [reassoc (attr := simp)] MonoidalCategory.triangle
namespace MonoidalCategory
variable {C : Type u} [𝒞 : Category.{v} C] [MonoidalCategory C]
@[simp]
theorem id_tensorHom (X : C) {Y₁ Y₂ : C} (f : Y₁ ⟶ Y₂) :
𝟙 X ⊗ f = X ◁ f := by
simp [tensorHom_def]
@[simp]
theorem tensorHom_id {X₁ X₂ : C} (f : X₁ ⟶ X₂) (Y : C) :
f ⊗ 𝟙 Y = f ▷ Y := by
simp [tensorHom_def]
@[reassoc, simp]
theorem whiskerLeft_comp (W : C) {X Y Z : C} (f : X ⟶ Y) (g : Y ⟶ Z) :
W ◁ (f ≫ g) = W ◁ f ≫ W ◁ g := by
simp only [← id_tensorHom, ← tensor_comp, comp_id]
@[reassoc, simp]
theorem id_whiskerLeft {X Y : C} (f : X ⟶ Y) :
𝟙_ C ◁ f = (λ_ X).hom ≫ f ≫ (λ_ Y).inv := by
rw [← assoc, ← leftUnitor_naturality]; simp [id_tensorHom]
#align category_theory.monoidal_category.left_unitor_conjugation CategoryTheory.MonoidalCategory.id_whiskerLeft
@[reassoc, simp]
theorem tensor_whiskerLeft (X Y : C) {Z Z' : C} (f : Z ⟶ Z') :
(X ⊗ Y) ◁ f = (α_ X Y Z).hom ≫ X ◁ Y ◁ f ≫ (α_ X Y Z').inv := by
simp only [← id_tensorHom, ← tensorHom_id]
rw [← assoc, ← associator_naturality]
simp
@[reassoc, simp]
theorem comp_whiskerRight {W X Y : C} (f : W ⟶ X) (g : X ⟶ Y) (Z : C) :
(f ≫ g) ▷ Z = f ▷ Z ≫ g ▷ Z := by
simp only [← tensorHom_id, ← tensor_comp, id_comp]
@[reassoc, simp]
theorem whiskerRight_id {X Y : C} (f : X ⟶ Y) :
f ▷ 𝟙_ C = (ρ_ X).hom ≫ f ≫ (ρ_ Y).inv := by
rw [← assoc, ← rightUnitor_naturality]; simp [tensorHom_id]
#align category_theory.monoidal_category.right_unitor_conjugation CategoryTheory.MonoidalCategory.whiskerRight_id
@[reassoc, simp]
theorem whiskerRight_tensor {X X' : C} (f : X ⟶ X') (Y Z : C) :
f ▷ (Y ⊗ Z) = (α_ X Y Z).inv ≫ f ▷ Y ▷ Z ≫ (α_ X' Y Z).hom := by
simp only [← id_tensorHom, ← tensorHom_id]
rw [associator_naturality]
simp [tensor_id]
@[reassoc, simp]
theorem whisker_assoc (X : C) {Y Y' : C} (f : Y ⟶ Y') (Z : C) :
(X ◁ f) ▷ Z = (α_ X Y Z).hom ≫ X ◁ f ▷ Z ≫ (α_ X Y' Z).inv := by
simp only [← id_tensorHom, ← tensorHom_id]
rw [← assoc, ← associator_naturality]
simp
@[reassoc]
theorem whisker_exchange {W X Y Z : C} (f : W ⟶ X) (g : Y ⟶ Z) :
W ◁ g ≫ f ▷ Z = f ▷ Y ≫ X ◁ g := by
simp only [← id_tensorHom, ← tensorHom_id, ← tensor_comp, id_comp, comp_id]
@[reassoc]
theorem tensorHom_def' {X₁ Y₁ X₂ Y₂ : C} (f : X₁ ⟶ Y₁) (g : X₂ ⟶ Y₂) :
f ⊗ g = X₁ ◁ g ≫ f ▷ Y₂ :=
whisker_exchange f g ▸ tensorHom_def f g
end MonoidalCategory
open scoped MonoidalCategory
open MonoidalCategory
variable {C : Type u} [𝒞 : Category.{v} C] [MonoidalCategory C]
namespace MonoidalCategory
@[reassoc (attr := simp)]
theorem whiskerLeft_hom_inv (X : C) {Y Z : C} (f : Y ≅ Z) :
X ◁ f.hom ≫ X ◁ f.inv = 𝟙 (X ⊗ Y) := by
rw [← whiskerLeft_comp, hom_inv_id, whiskerLeft_id]
@[reassoc (attr := simp)]
theorem hom_inv_whiskerRight {X Y : C} (f : X ≅ Y) (Z : C) :
f.hom ▷ Z ≫ f.inv ▷ Z = 𝟙 (X ⊗ Z) := by
rw [← comp_whiskerRight, hom_inv_id, id_whiskerRight]
@[reassoc (attr := simp)]
theorem whiskerLeft_inv_hom (X : C) {Y Z : C} (f : Y ≅ Z) :
X ◁ f.inv ≫ X ◁ f.hom = 𝟙 (X ⊗ Z) := by
rw [← whiskerLeft_comp, inv_hom_id, whiskerLeft_id]
@[reassoc (attr := simp)]
theorem inv_hom_whiskerRight {X Y : C} (f : X ≅ Y) (Z : C) :
f.inv ▷ Z ≫ f.hom ▷ Z = 𝟙 (Y ⊗ Z) := by
rw [← comp_whiskerRight, inv_hom_id, id_whiskerRight]
@[reassoc (attr := simp)]
theorem whiskerLeft_hom_inv' (X : C) {Y Z : C} (f : Y ⟶ Z) [IsIso f] :
X ◁ f ≫ X ◁ inv f = 𝟙 (X ⊗ Y) := by
rw [← whiskerLeft_comp, IsIso.hom_inv_id, whiskerLeft_id]
@[reassoc (attr := simp)]
theorem hom_inv_whiskerRight' {X Y : C} (f : X ⟶ Y) [IsIso f] (Z : C) :
f ▷ Z ≫ inv f ▷ Z = 𝟙 (X ⊗ Z) := by
rw [← comp_whiskerRight, IsIso.hom_inv_id, id_whiskerRight]
@[reassoc (attr := simp)]
theorem whiskerLeft_inv_hom' (X : C) {Y Z : C} (f : Y ⟶ Z) [IsIso f] :
X ◁ inv f ≫ X ◁ f = 𝟙 (X ⊗ Z) := by
rw [← whiskerLeft_comp, IsIso.inv_hom_id, whiskerLeft_id]
@[reassoc (attr := simp)]
theorem inv_hom_whiskerRight' {X Y : C} (f : X ⟶ Y) [IsIso f] (Z : C) :
inv f ▷ Z ≫ f ▷ Z = 𝟙 (Y ⊗ Z) := by
rw [← comp_whiskerRight, IsIso.inv_hom_id, id_whiskerRight]
/-- The left whiskering of an isomorphism is an isomorphism. -/
@[simps]
def whiskerLeftIso (X : C) {Y Z : C} (f : Y ≅ Z) : X ⊗ Y ≅ X ⊗ Z where
hom := X ◁ f.hom
inv := X ◁ f.inv
instance whiskerLeft_isIso (X : C) {Y Z : C} (f : Y ⟶ Z) [IsIso f] : IsIso (X ◁ f) :=
(whiskerLeftIso X (asIso f)).isIso_hom
@[simp]
theorem inv_whiskerLeft (X : C) {Y Z : C} (f : Y ⟶ Z) [IsIso f] :
inv (X ◁ f) = X ◁ inv f := by
aesop_cat
@[simp]
lemma whiskerLeftIso_refl (W X : C) :
whiskerLeftIso W (Iso.refl X) = Iso.refl (W ⊗ X) :=
Iso.ext (whiskerLeft_id W X)
@[simp]
lemma whiskerLeftIso_trans (W : C) {X Y Z : C} (f : X ≅ Y) (g : Y ≅ Z) :
whiskerLeftIso W (f ≪≫ g) = whiskerLeftIso W f ≪≫ whiskerLeftIso W g :=
Iso.ext (whiskerLeft_comp W f.hom g.hom)
@[simp]
lemma whiskerLeftIso_symm (W : C) {X Y : C} (f : X ≅ Y) :
(whiskerLeftIso W f).symm = whiskerLeftIso W f.symm := rfl
/-- The right whiskering of an isomorphism is an isomorphism. -/
@[simps!]
def whiskerRightIso {X Y : C} (f : X ≅ Y) (Z : C) : X ⊗ Z ≅ Y ⊗ Z where
hom := f.hom ▷ Z
inv := f.inv ▷ Z
instance whiskerRight_isIso {X Y : C} (f : X ⟶ Y) (Z : C) [IsIso f] : IsIso (f ▷ Z) :=
(whiskerRightIso (asIso f) Z).isIso_hom
@[simp]
theorem inv_whiskerRight {X Y : C} (f : X ⟶ Y) (Z : C) [IsIso f] :
inv (f ▷ Z) = inv f ▷ Z := by
aesop_cat
@[simp]
lemma whiskerRightIso_refl (X W : C) :
whiskerRightIso (Iso.refl X) W = Iso.refl (X ⊗ W) :=
Iso.ext (id_whiskerRight X W)
@[simp]
lemma whiskerRightIso_trans {X Y Z : C} (f : X ≅ Y) (g : Y ≅ Z) (W : C) :
whiskerRightIso (f ≪≫ g) W = whiskerRightIso f W ≪≫ whiskerRightIso g W :=
Iso.ext (comp_whiskerRight f.hom g.hom W)
@[simp]
lemma whiskerRightIso_symm {X Y : C} (f : X ≅ Y) (W : C) :
(whiskerRightIso f W).symm = whiskerRightIso f.symm W := rfl
end MonoidalCategory
/-- The tensor product of two isomorphisms is an isomorphism. -/
@[simps]
def tensorIso {C : Type u} {X Y X' Y' : C} [Category.{v} C] [MonoidalCategory.{v} C] (f : X ≅ Y)
(g : X' ≅ Y') : X ⊗ X' ≅ Y ⊗ Y' where
hom := f.hom ⊗ g.hom
inv := f.inv ⊗ g.inv
hom_inv_id := by rw [← tensor_comp, Iso.hom_inv_id, Iso.hom_inv_id, ← tensor_id]
inv_hom_id := by rw [← tensor_comp, Iso.inv_hom_id, Iso.inv_hom_id, ← tensor_id]
#align category_theory.tensor_iso CategoryTheory.tensorIso
/-- Notation for `tensorIso`, the tensor product of isomorphisms -/
infixr:70 " ⊗ " => tensorIso
namespace MonoidalCategory
section
variable {C : Type u} [Category.{v} C] [MonoidalCategory.{v} C]
instance tensor_isIso {W X Y Z : C} (f : W ⟶ X) [IsIso f] (g : Y ⟶ Z) [IsIso g] : IsIso (f ⊗ g) :=
(asIso f ⊗ asIso g).isIso_hom
#align category_theory.monoidal_category.tensor_is_iso CategoryTheory.MonoidalCategory.tensor_isIso
@[simp]
theorem inv_tensor {W X Y Z : C} (f : W ⟶ X) [IsIso f] (g : Y ⟶ Z) [IsIso g] :
inv (f ⊗ g) = inv f ⊗ inv g := by
simp [tensorHom_def ,whisker_exchange]
#align category_theory.monoidal_category.inv_tensor CategoryTheory.MonoidalCategory.inv_tensor
variable {U V W X Y Z : C}
theorem whiskerLeft_dite {P : Prop} [Decidable P]
(X : C) {Y Z : C} (f : P → (Y ⟶ Z)) (f' : ¬P → (Y ⟶ Z)) :
X ◁ (if h : P then f h else f' h) = if h : P then X ◁ f h else X ◁ f' h := by
split_ifs <;> rfl
theorem dite_whiskerRight {P : Prop} [Decidable P]
{X Y : C} (f : P → (X ⟶ Y)) (f' : ¬P → (X ⟶ Y)) (Z : C):
(if h : P then f h else f' h) ▷ Z = if h : P then f h ▷ Z else f' h ▷ Z := by
split_ifs <;> rfl
theorem tensor_dite {P : Prop} [Decidable P] {W X Y Z : C} (f : W ⟶ X) (g : P → (Y ⟶ Z))
(g' : ¬P → (Y ⟶ Z)) : (f ⊗ if h : P then g h else g' h) =
if h : P then f ⊗ g h else f ⊗ g' h := by split_ifs <;> rfl
#align category_theory.monoidal_category.tensor_dite CategoryTheory.MonoidalCategory.tensor_dite
theorem dite_tensor {P : Prop} [Decidable P] {W X Y Z : C} (f : W ⟶ X) (g : P → (Y ⟶ Z))
(g' : ¬P → (Y ⟶ Z)) : (if h : P then g h else g' h) ⊗ f =
if h : P then g h ⊗ f else g' h ⊗ f := by split_ifs <;> rfl
#align category_theory.monoidal_category.dite_tensor CategoryTheory.MonoidalCategory.dite_tensor
@[simp]
theorem whiskerLeft_eqToHom (X : C) {Y Z : C} (f : Y = Z) :
X ◁ eqToHom f = eqToHom (congr_arg₂ tensorObj rfl f) := by
cases f
simp only [whiskerLeft_id, eqToHom_refl]
@[simp]
theorem eqToHom_whiskerRight {X Y : C} (f : X = Y) (Z : C) :
eqToHom f ▷ Z = eqToHom (congr_arg₂ tensorObj f rfl) := by
cases f
simp only [id_whiskerRight, eqToHom_refl]
@[reassoc]
theorem associator_naturality_left {X X' : C} (f : X ⟶ X') (Y Z : C) :
f ▷ Y ▷ Z ≫ (α_ X' Y Z).hom = (α_ X Y Z).hom ≫ f ▷ (Y ⊗ Z) := by simp
@[reassoc]
theorem associator_inv_naturality_left {X X' : C} (f : X ⟶ X') (Y Z : C) :
f ▷ (Y ⊗ Z) ≫ (α_ X' Y Z).inv = (α_ X Y Z).inv ≫ f ▷ Y ▷ Z := by simp
@[reassoc]
theorem whiskerRight_tensor_symm {X X' : C} (f : X ⟶ X') (Y Z : C) :
f ▷ Y ▷ Z = (α_ X Y Z).hom ≫ f ▷ (Y ⊗ Z) ≫ (α_ X' Y Z).inv := by simp
@[reassoc]
theorem associator_naturality_middle (X : C) {Y Y' : C} (f : Y ⟶ Y') (Z : C) :
(X ◁ f) ▷ Z ≫ (α_ X Y' Z).hom = (α_ X Y Z).hom ≫ X ◁ f ▷ Z := by simp
@[reassoc]
theorem associator_inv_naturality_middle (X : C) {Y Y' : C} (f : Y ⟶ Y') (Z : C) :
X ◁ f ▷ Z ≫ (α_ X Y' Z).inv = (α_ X Y Z).inv ≫ (X ◁ f) ▷ Z := by simp
@[reassoc]
theorem whisker_assoc_symm (X : C) {Y Y' : C} (f : Y ⟶ Y') (Z : C) :
X ◁ f ▷ Z = (α_ X Y Z).inv ≫ (X ◁ f) ▷ Z ≫ (α_ X Y' Z).hom := by simp
@[reassoc]
theorem associator_naturality_right (X Y : C) {Z Z' : C} (f : Z ⟶ Z') :
(X ⊗ Y) ◁ f ≫ (α_ X Y Z').hom = (α_ X Y Z).hom ≫ X ◁ Y ◁ f := by simp
@[reassoc]
theorem associator_inv_naturality_right (X Y : C) {Z Z' : C} (f : Z ⟶ Z') :
X ◁ Y ◁ f ≫ (α_ X Y Z').inv = (α_ X Y Z).inv ≫ (X ⊗ Y) ◁ f := by simp
@[reassoc]
theorem tensor_whiskerLeft_symm (X Y : C) {Z Z' : C} (f : Z ⟶ Z') :
X ◁ Y ◁ f = (α_ X Y Z).inv ≫ (X ⊗ Y) ◁ f ≫ (α_ X Y Z').hom := by simp
@[reassoc]
theorem leftUnitor_inv_naturality {X Y : C} (f : X ⟶ Y) :
f ≫ (λ_ Y).inv = (λ_ X).inv ≫ _ ◁ f := by simp
#align category_theory.monoidal_category.left_unitor_inv_naturality CategoryTheory.MonoidalCategory.leftUnitor_inv_naturality
@[reassoc]
theorem id_whiskerLeft_symm {X X' : C} (f : X ⟶ X') :
f = (λ_ X).inv ≫ 𝟙_ C ◁ f ≫ (λ_ X').hom := by
simp only [id_whiskerLeft, assoc, inv_hom_id, comp_id, inv_hom_id_assoc]
@[reassoc]
theorem rightUnitor_inv_naturality {X X' : C} (f : X ⟶ X') :
f ≫ (ρ_ X').inv = (ρ_ X).inv ≫ f ▷ _ := by simp
#align category_theory.monoidal_category.right_unitor_inv_naturality CategoryTheory.MonoidalCategory.rightUnitor_inv_naturality
@[reassoc]
theorem whiskerRight_id_symm {X Y : C} (f : X ⟶ Y) :
f = (ρ_ X).inv ≫ f ▷ 𝟙_ C ≫ (ρ_ Y).hom := by
simp
theorem whiskerLeft_iff {X Y : C} (f g : X ⟶ Y) : 𝟙_ C ◁ f = 𝟙_ C ◁ g ↔ f = g := by simp
theorem whiskerRight_iff {X Y : C} (f g : X ⟶ Y) : f ▷ 𝟙_ C = g ▷ 𝟙_ C ↔ f = g := by simp
/-! The lemmas in the next section are true by coherence,
but we prove them directly as they are used in proving the coherence theorem. -/
section
@[reassoc (attr := simp)]
theorem pentagon_inv :
W ◁ (α_ X Y Z).inv ≫ (α_ W (X ⊗ Y) Z).inv ≫ (α_ W X Y).inv ▷ Z =
(α_ W X (Y ⊗ Z)).inv ≫ (α_ (W ⊗ X) Y Z).inv :=
eq_of_inv_eq_inv (by simp)
#align category_theory.monoidal_category.pentagon_inv CategoryTheory.MonoidalCategory.pentagon_inv
@[reassoc (attr := simp)]
theorem pentagon_inv_inv_hom_hom_inv :
(α_ W (X ⊗ Y) Z).inv ≫ (α_ W X Y).inv ▷ Z ≫ (α_ (W ⊗ X) Y Z).hom =
W ◁ (α_ X Y Z).hom ≫ (α_ W X (Y ⊗ Z)).inv := by
rw [← cancel_epi (W ◁ (α_ X Y Z).inv), ← cancel_mono (α_ (W ⊗ X) Y Z).inv]
simp
@[reassoc (attr := simp)]
theorem pentagon_inv_hom_hom_hom_inv :
(α_ (W ⊗ X) Y Z).inv ≫ (α_ W X Y).hom ▷ Z ≫ (α_ W (X ⊗ Y) Z).hom =
(α_ W X (Y ⊗ Z)).hom ≫ W ◁ (α_ X Y Z).inv :=
eq_of_inv_eq_inv (by simp)
@[reassoc (attr := simp)]
theorem pentagon_hom_inv_inv_inv_inv :
W ◁ (α_ X Y Z).hom ≫ (α_ W X (Y ⊗ Z)).inv ≫ (α_ (W ⊗ X) Y Z).inv =
(α_ W (X ⊗ Y) Z).inv ≫ (α_ W X Y).inv ▷ Z := by
simp [← cancel_epi (W ◁ (α_ X Y Z).inv)]
@[reassoc (attr := simp)]
theorem pentagon_hom_hom_inv_hom_hom :
(α_ (W ⊗ X) Y Z).hom ≫ (α_ W X (Y ⊗ Z)).hom ≫ W ◁ (α_ X Y Z).inv =
(α_ W X Y).hom ▷ Z ≫ (α_ W (X ⊗ Y) Z).hom :=
eq_of_inv_eq_inv (by simp)
@[reassoc (attr := simp)]
theorem pentagon_hom_inv_inv_inv_hom :
(α_ W X (Y ⊗ Z)).hom ≫ W ◁ (α_ X Y Z).inv ≫ (α_ W (X ⊗ Y) Z).inv =
(α_ (W ⊗ X) Y Z).inv ≫ (α_ W X Y).hom ▷ Z := by
rw [← cancel_epi (α_ W X (Y ⊗ Z)).inv, ← cancel_mono ((α_ W X Y).inv ▷ Z)]
simp
@[reassoc (attr := simp)]
theorem pentagon_hom_hom_inv_inv_hom :
(α_ W (X ⊗ Y) Z).hom ≫ W ◁ (α_ X Y Z).hom ≫ (α_ W X (Y ⊗ Z)).inv =
(α_ W X Y).inv ▷ Z ≫ (α_ (W ⊗ X) Y Z).hom :=
eq_of_inv_eq_inv (by simp)
@[reassoc (attr := simp)]
theorem pentagon_inv_hom_hom_hom_hom :
(α_ W X Y).inv ▷ Z ≫ (α_ (W ⊗ X) Y Z).hom ≫ (α_ W X (Y ⊗ Z)).hom =
(α_ W (X ⊗ Y) Z).hom ≫ W ◁ (α_ X Y Z).hom := by
simp [← cancel_epi ((α_ W X Y).hom ▷ Z)]
@[reassoc (attr := simp)]
theorem pentagon_inv_inv_hom_inv_inv :
(α_ W X (Y ⊗ Z)).inv ≫ (α_ (W ⊗ X) Y Z).inv ≫ (α_ W X Y).hom ▷ Z =
W ◁ (α_ X Y Z).inv ≫ (α_ W (X ⊗ Y) Z).inv :=
eq_of_inv_eq_inv (by simp)
@[reassoc (attr := simp)]
theorem triangle_assoc_comp_right (X Y : C) :
(α_ X (𝟙_ C) Y).inv ≫ ((ρ_ X).hom ▷ Y) = X ◁ (λ_ Y).hom := by
rw [← triangle, Iso.inv_hom_id_assoc]
#align category_theory.monoidal_category.triangle_assoc_comp_right CategoryTheory.MonoidalCategory.triangle_assoc_comp_right
@[reassoc (attr := simp)]
theorem triangle_assoc_comp_right_inv (X Y : C) :
(ρ_ X).inv ▷ Y ≫ (α_ X (𝟙_ C) Y).hom = X ◁ (λ_ Y).inv := by
simp [← cancel_mono (X ◁ (λ_ Y).hom)]
#align category_theory.monoidal_category.triangle_assoc_comp_right_inv CategoryTheory.MonoidalCategory.triangle_assoc_comp_right_inv
@[reassoc (attr := simp)]
theorem triangle_assoc_comp_left_inv (X Y : C) :
(X ◁ (λ_ Y).inv) ≫ (α_ X (𝟙_ C) Y).inv = (ρ_ X).inv ▷ Y := by
simp [← cancel_mono ((ρ_ X).hom ▷ Y)]
#align category_theory.monoidal_category.triangle_assoc_comp_left_inv CategoryTheory.MonoidalCategory.triangle_assoc_comp_left_inv
/-- We state it as a simp lemma, which is regarded as an involved version of
`id_whiskerRight X Y : 𝟙 X ▷ Y = 𝟙 (X ⊗ Y)`.
-/
@[reassoc, simp]
theorem leftUnitor_whiskerRight (X Y : C) :
(λ_ X).hom ▷ Y = (α_ (𝟙_ C) X Y).hom ≫ (λ_ (X ⊗ Y)).hom := by
rw [← whiskerLeft_iff, whiskerLeft_comp, ← cancel_epi (α_ _ _ _).hom, ←
cancel_epi ((α_ _ _ _).hom ▷ _), pentagon_assoc, triangle, ← associator_naturality_middle, ←
comp_whiskerRight_assoc, triangle, associator_naturality_left]
@[reassoc, simp]
theorem leftUnitor_inv_whiskerRight (X Y : C) :
(λ_ X).inv ▷ Y = (λ_ (X ⊗ Y)).inv ≫ (α_ (𝟙_ C) X Y).inv :=
eq_of_inv_eq_inv (by simp)
@[reassoc, simp]
theorem whiskerLeft_rightUnitor (X Y : C) :
X ◁ (ρ_ Y).hom = (α_ X Y (𝟙_ C)).inv ≫ (ρ_ (X ⊗ Y)).hom := by
rw [← whiskerRight_iff, comp_whiskerRight, ← cancel_epi (α_ _ _ _).inv, ←
cancel_epi (X ◁ (α_ _ _ _).inv), pentagon_inv_assoc, triangle_assoc_comp_right, ←
associator_inv_naturality_middle, ← whiskerLeft_comp_assoc, triangle_assoc_comp_right,
associator_inv_naturality_right]
@[reassoc, simp]
theorem whiskerLeft_rightUnitor_inv (X Y : C) :
X ◁ (ρ_ Y).inv = (ρ_ (X ⊗ Y)).inv ≫ (α_ X Y (𝟙_ C)).hom :=
eq_of_inv_eq_inv (by simp)
@[reassoc]
theorem leftUnitor_tensor (X Y : C) :
(λ_ (X ⊗ Y)).hom = (α_ (𝟙_ C) X Y).inv ≫ (λ_ X).hom ▷ Y := by simp
@[reassoc]
theorem leftUnitor_tensor_inv (X Y : C) :
(λ_ (X ⊗ Y)).inv = (λ_ X).inv ▷ Y ≫ (α_ (𝟙_ C) X Y).hom := by simp
@[reassoc]
| Mathlib/CategoryTheory/Monoidal/Category.lean | 634 | 635 | theorem rightUnitor_tensor (X Y : C) :
(ρ_ (X ⊗ Y)).hom = (α_ X Y (𝟙_ C)).hom ≫ X ◁ (ρ_ Y).hom := by | simp
|
/-
Copyright (c) 2021 Floris van Doorn. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Floris van Doorn
-/
import Mathlib.Algebra.Group.Basic
import Mathlib.Algebra.Order.Monoid.Unbundled.Basic
import Mathlib.Order.Lattice
#align_import algebra.order.sub.defs from "leanprover-community/mathlib"@"de29c328903507bb7aff506af9135f4bdaf1849c"
/-!
# Ordered Subtraction
This file proves lemmas relating (truncated) subtraction with an order. We provide a class
`OrderedSub` stating that `a - b ≤ c ↔ a ≤ c + b`.
The subtraction discussed here could both be normal subtraction in an additive group or truncated
subtraction on a canonically ordered monoid (`ℕ`, `Multiset`, `PartENat`, `ENNReal`, ...)
## Implementation details
`OrderedSub` is a mixin type-class, so that we can use the results in this file even in cases
where we don't have a `CanonicallyOrderedAddCommMonoid` instance
(even though that is our main focus). Conversely, this means we can use
`CanonicallyOrderedAddCommMonoid` without necessarily having to define a subtraction.
The results in this file are ordered by the type-class assumption needed to prove it.
This means that similar results might not be close to each other. Furthermore, we don't prove
implications if a bi-implication can be proven under the same assumptions.
Lemmas using this class are named using `tsub` instead of `sub` (short for "truncated subtraction").
This is to avoid naming conflicts with similar lemmas about ordered groups.
We provide a second version of most results that require `[ContravariantClass α α (+) (≤)]`. In the
second version we replace this type-class assumption by explicit `AddLECancellable` assumptions.
TODO: maybe we should make a multiplicative version of this, so that we can replace some identical
lemmas about subtraction/division in `Ordered[Add]CommGroup` with these.
TODO: generalize `Nat.le_of_le_of_sub_le_sub_right`, `Nat.sub_le_sub_right_iff`,
`Nat.mul_self_sub_mul_self_eq`
-/
variable {α β : Type*}
/-- `OrderedSub α` means that `α` has a subtraction characterized by `a - b ≤ c ↔ a ≤ c + b`.
In other words, `a - b` is the least `c` such that `a ≤ b + c`.
This is satisfied both by the subtraction in additive ordered groups and by truncated subtraction
in canonically ordered monoids on many specific types.
-/
class OrderedSub (α : Type*) [LE α] [Add α] [Sub α] : Prop where
/-- `a - b` provides a lower bound on `c` such that `a ≤ c + b`. -/
tsub_le_iff_right : ∀ a b c : α, a - b ≤ c ↔ a ≤ c + b
#align has_ordered_sub OrderedSub
section Add
@[simp]
theorem tsub_le_iff_right [LE α] [Add α] [Sub α] [OrderedSub α] {a b c : α} :
a - b ≤ c ↔ a ≤ c + b :=
OrderedSub.tsub_le_iff_right a b c
#align tsub_le_iff_right tsub_le_iff_right
variable [Preorder α] [Add α] [Sub α] [OrderedSub α] {a b c d : α}
/-- See `add_tsub_cancel_right` for the equality if `ContravariantClass α α (+) (≤)`. -/
theorem add_tsub_le_right : a + b - b ≤ a :=
tsub_le_iff_right.mpr le_rfl
#align add_tsub_le_right add_tsub_le_right
theorem le_tsub_add : b ≤ b - a + a :=
tsub_le_iff_right.mp le_rfl
#align le_tsub_add le_tsub_add
end Add
/-! ### Preorder -/
section OrderedAddCommSemigroup
section Preorder
variable [Preorder α]
section AddCommSemigroup
variable [AddCommSemigroup α] [Sub α] [OrderedSub α] {a b c d : α}
/- TODO: Most results can be generalized to [Add α] [IsSymmOp α α (· + ·)] -/
theorem tsub_le_iff_left : a - b ≤ c ↔ a ≤ b + c := by rw [tsub_le_iff_right, add_comm]
#align tsub_le_iff_left tsub_le_iff_left
theorem le_add_tsub : a ≤ b + (a - b) :=
tsub_le_iff_left.mp le_rfl
#align le_add_tsub le_add_tsub
/-- See `add_tsub_cancel_left` for the equality if `ContravariantClass α α (+) (≤)`. -/
theorem add_tsub_le_left : a + b - a ≤ b :=
tsub_le_iff_left.mpr le_rfl
#align add_tsub_le_left add_tsub_le_left
@[gcongr] theorem tsub_le_tsub_right (h : a ≤ b) (c : α) : a - c ≤ b - c :=
tsub_le_iff_left.mpr <| h.trans le_add_tsub
#align tsub_le_tsub_right tsub_le_tsub_right
theorem tsub_le_iff_tsub_le : a - b ≤ c ↔ a - c ≤ b := by rw [tsub_le_iff_left, tsub_le_iff_right]
#align tsub_le_iff_tsub_le tsub_le_iff_tsub_le
/-- See `tsub_tsub_cancel_of_le` for the equality. -/
theorem tsub_tsub_le : b - (b - a) ≤ a :=
tsub_le_iff_right.mpr le_add_tsub
#align tsub_tsub_le tsub_tsub_le
section Cov
variable [CovariantClass α α (· + ·) (· ≤ ·)]
@[gcongr] theorem tsub_le_tsub_left (h : a ≤ b) (c : α) : c - b ≤ c - a :=
tsub_le_iff_left.mpr <| le_add_tsub.trans <| add_le_add_right h _
#align tsub_le_tsub_left tsub_le_tsub_left
@[gcongr] theorem tsub_le_tsub (hab : a ≤ b) (hcd : c ≤ d) : a - d ≤ b - c :=
(tsub_le_tsub_right hab _).trans <| tsub_le_tsub_left hcd _
#align tsub_le_tsub tsub_le_tsub
theorem antitone_const_tsub : Antitone fun x => c - x := fun _ _ hxy => tsub_le_tsub rfl.le hxy
#align antitone_const_tsub antitone_const_tsub
/-- See `add_tsub_assoc_of_le` for the equality. -/
theorem add_tsub_le_assoc : a + b - c ≤ a + (b - c) := by
rw [tsub_le_iff_left, add_left_comm]
exact add_le_add_left le_add_tsub a
#align add_tsub_le_assoc add_tsub_le_assoc
/-- See `tsub_add_eq_add_tsub` for the equality. -/
theorem add_tsub_le_tsub_add : a + b - c ≤ a - c + b := by
rw [add_comm, add_comm _ b]
exact add_tsub_le_assoc
#align add_tsub_le_tsub_add add_tsub_le_tsub_add
theorem add_le_add_add_tsub : a + b ≤ a + c + (b - c) := by
rw [add_assoc]
exact add_le_add_left le_add_tsub a
#align add_le_add_add_tsub add_le_add_add_tsub
theorem le_tsub_add_add : a + b ≤ a - c + (b + c) := by
rw [add_comm a, add_comm (a - c)]
exact add_le_add_add_tsub
#align le_tsub_add_add le_tsub_add_add
theorem tsub_le_tsub_add_tsub : a - c ≤ a - b + (b - c) := by
rw [tsub_le_iff_left, ← add_assoc, add_right_comm]
exact le_add_tsub.trans (add_le_add_right le_add_tsub _)
#align tsub_le_tsub_add_tsub tsub_le_tsub_add_tsub
theorem tsub_tsub_tsub_le_tsub : c - a - (c - b) ≤ b - a := by
rw [tsub_le_iff_left, tsub_le_iff_left, add_left_comm]
exact le_tsub_add.trans (add_le_add_left le_add_tsub _)
#align tsub_tsub_tsub_le_tsub tsub_tsub_tsub_le_tsub
theorem tsub_tsub_le_tsub_add {a b c : α} : a - (b - c) ≤ a - b + c :=
tsub_le_iff_right.2 <|
calc
a ≤ a - b + b := le_tsub_add
_ ≤ a - b + (c + (b - c)) := add_le_add_left le_add_tsub _
_ = a - b + c + (b - c) := (add_assoc _ _ _).symm
#align tsub_tsub_le_tsub_add tsub_tsub_le_tsub_add
/-- See `tsub_add_tsub_comm` for the equality. -/
theorem add_tsub_add_le_tsub_add_tsub : a + b - (c + d) ≤ a - c + (b - d) := by
rw [add_comm c, tsub_le_iff_left, add_assoc, ← tsub_le_iff_left, ← tsub_le_iff_left]
refine (tsub_le_tsub_right add_tsub_le_assoc c).trans ?_
rw [add_comm a, add_comm (a - c)]
exact add_tsub_le_assoc
#align add_tsub_add_le_tsub_add_tsub add_tsub_add_le_tsub_add_tsub
/-- See `add_tsub_add_eq_tsub_left` for the equality. -/
| Mathlib/Algebra/Order/Sub/Defs.lean | 182 | 184 | theorem add_tsub_add_le_tsub_left : a + b - (a + c) ≤ b - c := by |
rw [tsub_le_iff_left, add_assoc]
exact add_le_add_left le_add_tsub _
|
/-
Copyright (c) 2022 Joseph Myers. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Joseph Myers, Heather Macbeth
-/
import Mathlib.Analysis.SpecialFunctions.Complex.Circle
import Mathlib.Geometry.Euclidean.Angle.Oriented.Basic
#align_import geometry.euclidean.angle.oriented.rotation from "leanprover-community/mathlib"@"f0c8bf9245297a541f468be517f1bde6195105e9"
/-!
# Rotations by oriented angles.
This file defines rotations by oriented angles in real inner product spaces.
## Main definitions
* `Orientation.rotation` is the rotation by an oriented angle with respect to an orientation.
-/
noncomputable section
open FiniteDimensional Complex
open scoped Real RealInnerProductSpace ComplexConjugate
namespace Orientation
attribute [local instance] Complex.finrank_real_complex_fact
variable {V V' : Type*}
variable [NormedAddCommGroup V] [NormedAddCommGroup V']
variable [InnerProductSpace ℝ V] [InnerProductSpace ℝ V']
variable [Fact (finrank ℝ V = 2)] [Fact (finrank ℝ V' = 2)] (o : Orientation ℝ V (Fin 2))
local notation "J" => o.rightAngleRotation
/-- Auxiliary construction to build a rotation by the oriented angle `θ`. -/
def rotationAux (θ : Real.Angle) : V →ₗᵢ[ℝ] V :=
LinearMap.isometryOfInner
(Real.Angle.cos θ • LinearMap.id +
Real.Angle.sin θ • (LinearIsometryEquiv.toLinearEquiv J).toLinearMap)
(by
intro x y
simp only [RCLike.conj_to_real, id, LinearMap.smul_apply, LinearMap.add_apply,
LinearMap.id_coe, LinearEquiv.coe_coe, LinearIsometryEquiv.coe_toLinearEquiv,
Orientation.areaForm_rightAngleRotation_left, Orientation.inner_rightAngleRotation_left,
Orientation.inner_rightAngleRotation_right, inner_add_left, inner_smul_left,
inner_add_right, inner_smul_right]
linear_combination inner (𝕜 := ℝ) x y * θ.cos_sq_add_sin_sq)
#align orientation.rotation_aux Orientation.rotationAux
@[simp]
theorem rotationAux_apply (θ : Real.Angle) (x : V) :
o.rotationAux θ x = Real.Angle.cos θ • x + Real.Angle.sin θ • J x :=
rfl
#align orientation.rotation_aux_apply Orientation.rotationAux_apply
/-- A rotation by the oriented angle `θ`. -/
def rotation (θ : Real.Angle) : V ≃ₗᵢ[ℝ] V :=
LinearIsometryEquiv.ofLinearIsometry (o.rotationAux θ)
(Real.Angle.cos θ • LinearMap.id -
Real.Angle.sin θ • (LinearIsometryEquiv.toLinearEquiv J).toLinearMap)
(by
ext x
convert congr_arg (fun t : ℝ => t • x) θ.cos_sq_add_sin_sq using 1
· simp only [o.rightAngleRotation_rightAngleRotation, o.rotationAux_apply,
Function.comp_apply, id, LinearEquiv.coe_coe, LinearIsometry.coe_toLinearMap,
LinearIsometryEquiv.coe_toLinearEquiv, map_smul, map_sub, LinearMap.coe_comp,
LinearMap.id_coe, LinearMap.smul_apply, LinearMap.sub_apply, ← mul_smul, add_smul,
smul_add, smul_neg, smul_sub, mul_comm, sq]
abel
· simp)
(by
ext x
convert congr_arg (fun t : ℝ => t • x) θ.cos_sq_add_sin_sq using 1
· simp only [o.rightAngleRotation_rightAngleRotation, o.rotationAux_apply,
Function.comp_apply, id, LinearEquiv.coe_coe, LinearIsometry.coe_toLinearMap,
LinearIsometryEquiv.coe_toLinearEquiv, map_add, map_smul, LinearMap.coe_comp,
LinearMap.id_coe, LinearMap.smul_apply, LinearMap.sub_apply,
add_smul, smul_neg, smul_sub, smul_smul]
ring_nf
abel
· simp)
#align orientation.rotation Orientation.rotation
theorem rotation_apply (θ : Real.Angle) (x : V) :
o.rotation θ x = Real.Angle.cos θ • x + Real.Angle.sin θ • J x :=
rfl
#align orientation.rotation_apply Orientation.rotation_apply
theorem rotation_symm_apply (θ : Real.Angle) (x : V) :
(o.rotation θ).symm x = Real.Angle.cos θ • x - Real.Angle.sin θ • J x :=
rfl
#align orientation.rotation_symm_apply Orientation.rotation_symm_apply
theorem rotation_eq_matrix_toLin (θ : Real.Angle) {x : V} (hx : x ≠ 0) :
(o.rotation θ).toLinearMap =
Matrix.toLin (o.basisRightAngleRotation x hx) (o.basisRightAngleRotation x hx)
!![θ.cos, -θ.sin; θ.sin, θ.cos] := by
apply (o.basisRightAngleRotation x hx).ext
intro i
fin_cases i
· rw [Matrix.toLin_self]
simp [rotation_apply, Fin.sum_univ_succ]
· rw [Matrix.toLin_self]
simp [rotation_apply, Fin.sum_univ_succ, add_comm]
#align orientation.rotation_eq_matrix_to_lin Orientation.rotation_eq_matrix_toLin
/-- The determinant of `rotation` (as a linear map) is equal to `1`. -/
@[simp]
theorem det_rotation (θ : Real.Angle) : LinearMap.det (o.rotation θ).toLinearMap = 1 := by
haveI : Nontrivial V :=
FiniteDimensional.nontrivial_of_finrank_eq_succ (@Fact.out (finrank ℝ V = 2) _)
obtain ⟨x, hx⟩ : ∃ x, x ≠ (0 : V) := exists_ne (0 : V)
rw [o.rotation_eq_matrix_toLin θ hx]
simpa [sq] using θ.cos_sq_add_sin_sq
#align orientation.det_rotation Orientation.det_rotation
/-- The determinant of `rotation` (as a linear equiv) is equal to `1`. -/
@[simp]
theorem linearEquiv_det_rotation (θ : Real.Angle) :
LinearEquiv.det (o.rotation θ).toLinearEquiv = 1 :=
Units.ext <| by
-- Porting note: Lean can't see through `LinearEquiv.coe_det` and needed the rewrite
-- in mathlib3 this was just `units.ext <| o.det_rotation θ`
simpa only [LinearEquiv.coe_det, Units.val_one] using o.det_rotation θ
#align orientation.linear_equiv_det_rotation Orientation.linearEquiv_det_rotation
/-- The inverse of `rotation` is rotation by the negation of the angle. -/
@[simp]
theorem rotation_symm (θ : Real.Angle) : (o.rotation θ).symm = o.rotation (-θ) := by
ext; simp [o.rotation_apply, o.rotation_symm_apply, sub_eq_add_neg]
#align orientation.rotation_symm Orientation.rotation_symm
/-- Rotation by 0 is the identity. -/
@[simp]
theorem rotation_zero : o.rotation 0 = LinearIsometryEquiv.refl ℝ V := by ext; simp [rotation]
#align orientation.rotation_zero Orientation.rotation_zero
/-- Rotation by π is negation. -/
@[simp]
theorem rotation_pi : o.rotation π = LinearIsometryEquiv.neg ℝ := by
ext x
simp [rotation]
#align orientation.rotation_pi Orientation.rotation_pi
/-- Rotation by π is negation. -/
theorem rotation_pi_apply (x : V) : o.rotation π x = -x := by simp
#align orientation.rotation_pi_apply Orientation.rotation_pi_apply
/-- Rotation by π / 2 is the "right-angle-rotation" map `J`. -/
theorem rotation_pi_div_two : o.rotation (π / 2 : ℝ) = J := by
ext x
simp [rotation]
#align orientation.rotation_pi_div_two Orientation.rotation_pi_div_two
/-- Rotating twice is equivalent to rotating by the sum of the angles. -/
@[simp]
theorem rotation_rotation (θ₁ θ₂ : Real.Angle) (x : V) :
o.rotation θ₁ (o.rotation θ₂ x) = o.rotation (θ₁ + θ₂) x := by
simp only [o.rotation_apply, ← mul_smul, Real.Angle.cos_add, Real.Angle.sin_add, add_smul,
sub_smul, LinearIsometryEquiv.trans_apply, smul_add, LinearIsometryEquiv.map_add,
LinearIsometryEquiv.map_smul, rightAngleRotation_rightAngleRotation, smul_neg]
ring_nf
abel
#align orientation.rotation_rotation Orientation.rotation_rotation
/-- Rotating twice is equivalent to rotating by the sum of the angles. -/
@[simp]
theorem rotation_trans (θ₁ θ₂ : Real.Angle) :
(o.rotation θ₁).trans (o.rotation θ₂) = o.rotation (θ₂ + θ₁) :=
LinearIsometryEquiv.ext fun _ => by rw [← rotation_rotation, LinearIsometryEquiv.trans_apply]
#align orientation.rotation_trans Orientation.rotation_trans
/-- Rotating the first of two vectors by `θ` scales their Kahler form by `cos θ - sin θ * I`. -/
@[simp]
theorem kahler_rotation_left (x y : V) (θ : Real.Angle) :
o.kahler (o.rotation θ x) y = conj (θ.expMapCircle : ℂ) * o.kahler x y := by
-- Porting note: this needed the `Complex.conj_ofReal` instead of `RCLike.conj_ofReal`;
-- I believe this is because the respective coercions are no longer defeq, and
-- `Real.Angle.coe_expMapCircle` uses the `Complex` version.
simp only [o.rotation_apply, map_add, map_mul, LinearMap.map_smulₛₗ, RingHom.id_apply,
LinearMap.add_apply, LinearMap.smul_apply, real_smul, kahler_rightAngleRotation_left,
Real.Angle.coe_expMapCircle, Complex.conj_ofReal, conj_I]
ring
#align orientation.kahler_rotation_left Orientation.kahler_rotation_left
/-- Negating a rotation is equivalent to rotation by π plus the angle. -/
theorem neg_rotation (θ : Real.Angle) (x : V) : -o.rotation θ x = o.rotation (π + θ) x := by
rw [← o.rotation_pi_apply, rotation_rotation]
#align orientation.neg_rotation Orientation.neg_rotation
/-- Negating a rotation by -π / 2 is equivalent to rotation by π / 2. -/
@[simp]
theorem neg_rotation_neg_pi_div_two (x : V) :
-o.rotation (-π / 2 : ℝ) x = o.rotation (π / 2 : ℝ) x := by
rw [neg_rotation, ← Real.Angle.coe_add, neg_div, ← sub_eq_add_neg, sub_half]
#align orientation.neg_rotation_neg_pi_div_two Orientation.neg_rotation_neg_pi_div_two
/-- Negating a rotation by π / 2 is equivalent to rotation by -π / 2. -/
theorem neg_rotation_pi_div_two (x : V) : -o.rotation (π / 2 : ℝ) x = o.rotation (-π / 2 : ℝ) x :=
(neg_eq_iff_eq_neg.mp <| o.neg_rotation_neg_pi_div_two _).symm
#align orientation.neg_rotation_pi_div_two Orientation.neg_rotation_pi_div_two
/-- Rotating the first of two vectors by `θ` scales their Kahler form by `cos (-θ) + sin (-θ) * I`.
-/
theorem kahler_rotation_left' (x y : V) (θ : Real.Angle) :
o.kahler (o.rotation θ x) y = (-θ).expMapCircle * o.kahler x y := by
simp only [Real.Angle.expMapCircle_neg, coe_inv_circle_eq_conj, kahler_rotation_left]
#align orientation.kahler_rotation_left' Orientation.kahler_rotation_left'
/-- Rotating the second of two vectors by `θ` scales their Kahler form by `cos θ + sin θ * I`. -/
@[simp]
theorem kahler_rotation_right (x y : V) (θ : Real.Angle) :
o.kahler x (o.rotation θ y) = θ.expMapCircle * o.kahler x y := by
simp only [o.rotation_apply, map_add, LinearMap.map_smulₛₗ, RingHom.id_apply, real_smul,
kahler_rightAngleRotation_right, Real.Angle.coe_expMapCircle]
ring
#align orientation.kahler_rotation_right Orientation.kahler_rotation_right
/-- Rotating the first vector by `θ` subtracts `θ` from the angle between two vectors. -/
@[simp]
theorem oangle_rotation_left {x y : V} (hx : x ≠ 0) (hy : y ≠ 0) (θ : Real.Angle) :
o.oangle (o.rotation θ x) y = o.oangle x y - θ := by
simp only [oangle, o.kahler_rotation_left']
rw [Complex.arg_mul_coe_angle, Real.Angle.arg_expMapCircle]
· abel
· exact ne_zero_of_mem_circle _
· exact o.kahler_ne_zero hx hy
#align orientation.oangle_rotation_left Orientation.oangle_rotation_left
/-- Rotating the second vector by `θ` adds `θ` to the angle between two vectors. -/
@[simp]
theorem oangle_rotation_right {x y : V} (hx : x ≠ 0) (hy : y ≠ 0) (θ : Real.Angle) :
o.oangle x (o.rotation θ y) = o.oangle x y + θ := by
simp only [oangle, o.kahler_rotation_right]
rw [Complex.arg_mul_coe_angle, Real.Angle.arg_expMapCircle]
· abel
· exact ne_zero_of_mem_circle _
· exact o.kahler_ne_zero hx hy
#align orientation.oangle_rotation_right Orientation.oangle_rotation_right
/-- The rotation of a vector by `θ` has an angle of `-θ` from that vector. -/
@[simp]
theorem oangle_rotation_self_left {x : V} (hx : x ≠ 0) (θ : Real.Angle) :
o.oangle (o.rotation θ x) x = -θ := by simp [hx]
#align orientation.oangle_rotation_self_left Orientation.oangle_rotation_self_left
/-- A vector has an angle of `θ` from the rotation of that vector by `θ`. -/
@[simp]
theorem oangle_rotation_self_right {x : V} (hx : x ≠ 0) (θ : Real.Angle) :
o.oangle x (o.rotation θ x) = θ := by simp [hx]
#align orientation.oangle_rotation_self_right Orientation.oangle_rotation_self_right
/-- Rotating the first vector by the angle between the two vectors results in an angle of 0. -/
@[simp]
theorem oangle_rotation_oangle_left (x y : V) : o.oangle (o.rotation (o.oangle x y) x) y = 0 := by
by_cases hx : x = 0
· simp [hx]
· by_cases hy : y = 0
· simp [hy]
· simp [hx, hy]
#align orientation.oangle_rotation_oangle_left Orientation.oangle_rotation_oangle_left
/-- Rotating the first vector by the angle between the two vectors and swapping the vectors
results in an angle of 0. -/
@[simp]
theorem oangle_rotation_oangle_right (x y : V) : o.oangle y (o.rotation (o.oangle x y) x) = 0 := by
rw [oangle_rev]
simp
#align orientation.oangle_rotation_oangle_right Orientation.oangle_rotation_oangle_right
/-- Rotating both vectors by the same angle does not change the angle between those vectors. -/
@[simp]
theorem oangle_rotation (x y : V) (θ : Real.Angle) :
o.oangle (o.rotation θ x) (o.rotation θ y) = o.oangle x y := by
by_cases hx : x = 0 <;> by_cases hy : y = 0 <;> simp [hx, hy]
#align orientation.oangle_rotation Orientation.oangle_rotation
/-- A rotation of a nonzero vector equals that vector if and only if the angle is zero. -/
@[simp]
| Mathlib/Geometry/Euclidean/Angle/Oriented/Rotation.lean | 285 | 292 | theorem rotation_eq_self_iff_angle_eq_zero {x : V} (hx : x ≠ 0) (θ : Real.Angle) :
o.rotation θ x = x ↔ θ = 0 := by |
constructor
· intro h
rw [eq_comm]
simpa [hx, h] using o.oangle_rotation_right hx hx θ
· intro h
simp [h]
|
/-
Copyright (c) 2019 Zhouhang Zhou. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Zhouhang Zhou, Frédéric Dupuis, Heather Macbeth
-/
import Mathlib.Analysis.Convex.Basic
import Mathlib.Analysis.InnerProductSpace.Orthogonal
import Mathlib.Analysis.InnerProductSpace.Symmetric
import Mathlib.Analysis.NormedSpace.RCLike
import Mathlib.Analysis.RCLike.Lemmas
import Mathlib.Algebra.DirectSum.Decomposition
#align_import analysis.inner_product_space.projection from "leanprover-community/mathlib"@"0b7c740e25651db0ba63648fbae9f9d6f941e31b"
/-!
# The orthogonal projection
Given a nonempty complete subspace `K` of an inner product space `E`, this file constructs
`orthogonalProjection K : E →L[𝕜] K`, the orthogonal projection of `E` onto `K`. This map
satisfies: for any point `u` in `E`, the point `v = orthogonalProjection K u` in `K` minimizes the
distance `‖u - v‖` to `u`.
Also a linear isometry equivalence `reflection K : E ≃ₗᵢ[𝕜] E` is constructed, by choosing, for
each `u : E`, the point `reflection K u` to satisfy
`u + (reflection K u) = 2 • orthogonalProjection K u`.
Basic API for `orthogonalProjection` and `reflection` is developed.
Next, the orthogonal projection is used to prove a series of more subtle lemmas about the
orthogonal complement of complete subspaces of `E` (the orthogonal complement itself was
defined in `Analysis.InnerProductSpace.Orthogonal`); the lemma
`Submodule.sup_orthogonal_of_completeSpace`, stating that for a complete subspace `K` of `E` we have
`K ⊔ Kᗮ = ⊤`, is a typical example.
## References
The orthogonal projection construction is adapted from
* [Clément & Martin, *The Lax-Milgram Theorem. A detailed proof to be formalized in Coq*]
* [Clément & Martin, *A Coq formal proof of the Lax–Milgram theorem*]
The Coq code is available at the following address: <http://www.lri.fr/~sboldo/elfic/index.html>
-/
noncomputable section
open RCLike Real Filter
open LinearMap (ker range)
open Topology
variable {𝕜 E F : Type*} [RCLike 𝕜]
variable [NormedAddCommGroup E] [NormedAddCommGroup F]
variable [InnerProductSpace 𝕜 E] [InnerProductSpace ℝ F]
local notation "⟪" x ", " y "⟫" => @inner 𝕜 _ _ x y
local notation "absR" => abs
/-! ### Orthogonal projection in inner product spaces -/
-- FIXME this monolithic proof causes a deterministic timeout with `-T50000`
-- It should be broken in a sequence of more manageable pieces,
-- perhaps with individual statements for the three steps below.
/-- Existence of minimizers
Let `u` be a point in a real inner product space, and let `K` be a nonempty complete convex subset.
Then there exists a (unique) `v` in `K` that minimizes the distance `‖u - v‖` to `u`.
-/
theorem exists_norm_eq_iInf_of_complete_convex {K : Set F} (ne : K.Nonempty) (h₁ : IsComplete K)
(h₂ : Convex ℝ K) : ∀ u : F, ∃ v ∈ K, ‖u - v‖ = ⨅ w : K, ‖u - w‖ := fun u => by
let δ := ⨅ w : K, ‖u - w‖
letI : Nonempty K := ne.to_subtype
have zero_le_δ : 0 ≤ δ := le_ciInf fun _ => norm_nonneg _
have δ_le : ∀ w : K, δ ≤ ‖u - w‖ := ciInf_le ⟨0, Set.forall_mem_range.2 fun _ => norm_nonneg _⟩
have δ_le' : ∀ w ∈ K, δ ≤ ‖u - w‖ := fun w hw => δ_le ⟨w, hw⟩
-- Step 1: since `δ` is the infimum, can find a sequence `w : ℕ → K` in `K`
-- such that `‖u - w n‖ < δ + 1 / (n + 1)` (which implies `‖u - w n‖ --> δ`);
-- maybe this should be a separate lemma
have exists_seq : ∃ w : ℕ → K, ∀ n, ‖u - w n‖ < δ + 1 / (n + 1) := by
have hδ : ∀ n : ℕ, δ < δ + 1 / (n + 1) := fun n =>
lt_add_of_le_of_pos le_rfl Nat.one_div_pos_of_nat
have h := fun n => exists_lt_of_ciInf_lt (hδ n)
let w : ℕ → K := fun n => Classical.choose (h n)
exact ⟨w, fun n => Classical.choose_spec (h n)⟩
rcases exists_seq with ⟨w, hw⟩
have norm_tendsto : Tendsto (fun n => ‖u - w n‖) atTop (𝓝 δ) := by
have h : Tendsto (fun _ : ℕ => δ) atTop (𝓝 δ) := tendsto_const_nhds
have h' : Tendsto (fun n : ℕ => δ + 1 / (n + 1)) atTop (𝓝 δ) := by
convert h.add tendsto_one_div_add_atTop_nhds_zero_nat
simp only [add_zero]
exact tendsto_of_tendsto_of_tendsto_of_le_of_le h h' (fun x => δ_le _) fun x => le_of_lt (hw _)
-- Step 2: Prove that the sequence `w : ℕ → K` is a Cauchy sequence
have seq_is_cauchy : CauchySeq fun n => (w n : F) := by
rw [cauchySeq_iff_le_tendsto_0]
-- splits into three goals
let b := fun n : ℕ => 8 * δ * (1 / (n + 1)) + 4 * (1 / (n + 1)) * (1 / (n + 1))
use fun n => √(b n)
constructor
-- first goal : `∀ (n : ℕ), 0 ≤ √(b n)`
· intro n
exact sqrt_nonneg _
constructor
-- second goal : `∀ (n m N : ℕ), N ≤ n → N ≤ m → dist ↑(w n) ↑(w m) ≤ √(b N)`
· intro p q N hp hq
let wp := (w p : F)
let wq := (w q : F)
let a := u - wq
let b := u - wp
let half := 1 / (2 : ℝ)
let div := 1 / ((N : ℝ) + 1)
have :
4 * ‖u - half • (wq + wp)‖ * ‖u - half • (wq + wp)‖ + ‖wp - wq‖ * ‖wp - wq‖ =
2 * (‖a‖ * ‖a‖ + ‖b‖ * ‖b‖) :=
calc
4 * ‖u - half • (wq + wp)‖ * ‖u - half • (wq + wp)‖ + ‖wp - wq‖ * ‖wp - wq‖ =
2 * ‖u - half • (wq + wp)‖ * (2 * ‖u - half • (wq + wp)‖) + ‖wp - wq‖ * ‖wp - wq‖ :=
by ring
_ =
absR (2 : ℝ) * ‖u - half • (wq + wp)‖ * (absR (2 : ℝ) * ‖u - half • (wq + wp)‖) +
‖wp - wq‖ * ‖wp - wq‖ := by
rw [_root_.abs_of_nonneg]
exact zero_le_two
_ =
‖(2 : ℝ) • (u - half • (wq + wp))‖ * ‖(2 : ℝ) • (u - half • (wq + wp))‖ +
‖wp - wq‖ * ‖wp - wq‖ := by simp [norm_smul]
_ = ‖a + b‖ * ‖a + b‖ + ‖a - b‖ * ‖a - b‖ := by
rw [smul_sub, smul_smul, mul_one_div_cancel (_root_.two_ne_zero : (2 : ℝ) ≠ 0), ←
one_add_one_eq_two, add_smul]
simp only [one_smul]
have eq₁ : wp - wq = a - b := (sub_sub_sub_cancel_left _ _ _).symm
have eq₂ : u + u - (wq + wp) = a + b := by
show u + u - (wq + wp) = u - wq + (u - wp)
abel
rw [eq₁, eq₂]
_ = 2 * (‖a‖ * ‖a‖ + ‖b‖ * ‖b‖) := parallelogram_law_with_norm ℝ _ _
have eq : δ ≤ ‖u - half • (wq + wp)‖ := by
rw [smul_add]
apply δ_le'
apply h₂
repeat' exact Subtype.mem _
repeat' exact le_of_lt one_half_pos
exact add_halves 1
have eq₁ : 4 * δ * δ ≤ 4 * ‖u - half • (wq + wp)‖ * ‖u - half • (wq + wp)‖ := by
simp_rw [mul_assoc]
gcongr
have eq₂ : ‖a‖ ≤ δ + div :=
le_trans (le_of_lt <| hw q) (add_le_add_left (Nat.one_div_le_one_div hq) _)
have eq₂' : ‖b‖ ≤ δ + div :=
le_trans (le_of_lt <| hw p) (add_le_add_left (Nat.one_div_le_one_div hp) _)
rw [dist_eq_norm]
apply nonneg_le_nonneg_of_sq_le_sq
· exact sqrt_nonneg _
rw [mul_self_sqrt]
· calc
‖wp - wq‖ * ‖wp - wq‖ =
2 * (‖a‖ * ‖a‖ + ‖b‖ * ‖b‖) - 4 * ‖u - half • (wq + wp)‖ * ‖u - half • (wq + wp)‖ := by
simp [← this]
_ ≤ 2 * (‖a‖ * ‖a‖ + ‖b‖ * ‖b‖) - 4 * δ * δ := by gcongr
_ ≤ 2 * ((δ + div) * (δ + div) + (δ + div) * (δ + div)) - 4 * δ * δ := by gcongr
_ = 8 * δ * div + 4 * div * div := by ring
positivity
-- third goal : `Tendsto (fun (n : ℕ) => √(b n)) atTop (𝓝 0)`
suffices Tendsto (fun x ↦ √(8 * δ * x + 4 * x * x) : ℝ → ℝ) (𝓝 0) (𝓝 0)
from this.comp tendsto_one_div_add_atTop_nhds_zero_nat
exact Continuous.tendsto' (by continuity) _ _ (by simp)
-- Step 3: By completeness of `K`, let `w : ℕ → K` converge to some `v : K`.
-- Prove that it satisfies all requirements.
rcases cauchySeq_tendsto_of_isComplete h₁ (fun n => Subtype.mem _) seq_is_cauchy with
⟨v, hv, w_tendsto⟩
use v
use hv
have h_cont : Continuous fun v => ‖u - v‖ :=
Continuous.comp continuous_norm (Continuous.sub continuous_const continuous_id)
have : Tendsto (fun n => ‖u - w n‖) atTop (𝓝 ‖u - v‖) := by
convert Tendsto.comp h_cont.continuousAt w_tendsto
exact tendsto_nhds_unique this norm_tendsto
#align exists_norm_eq_infi_of_complete_convex exists_norm_eq_iInf_of_complete_convex
/-- Characterization of minimizers for the projection on a convex set in a real inner product
space. -/
theorem norm_eq_iInf_iff_real_inner_le_zero {K : Set F} (h : Convex ℝ K) {u : F} {v : F}
(hv : v ∈ K) : (‖u - v‖ = ⨅ w : K, ‖u - w‖) ↔ ∀ w ∈ K, ⟪u - v, w - v⟫_ℝ ≤ 0 := by
letI : Nonempty K := ⟨⟨v, hv⟩⟩
constructor
· intro eq w hw
let δ := ⨅ w : K, ‖u - w‖
let p := ⟪u - v, w - v⟫_ℝ
let q := ‖w - v‖ ^ 2
have δ_le (w : K) : δ ≤ ‖u - w‖ := ciInf_le ⟨0, fun _ ⟨_, h⟩ => h ▸ norm_nonneg _⟩ _
have δ_le' (w) (hw : w ∈ K) : δ ≤ ‖u - w‖ := δ_le ⟨w, hw⟩
have (θ : ℝ) (hθ₁ : 0 < θ) (hθ₂ : θ ≤ 1) : 2 * p ≤ θ * q := by
have : ‖u - v‖ ^ 2 ≤ ‖u - v‖ ^ 2 - 2 * θ * ⟪u - v, w - v⟫_ℝ + θ * θ * ‖w - v‖ ^ 2 :=
calc ‖u - v‖ ^ 2
_ ≤ ‖u - (θ • w + (1 - θ) • v)‖ ^ 2 := by
simp only [sq]; apply mul_self_le_mul_self (norm_nonneg _)
rw [eq]; apply δ_le'
apply h hw hv
exacts [le_of_lt hθ₁, sub_nonneg.2 hθ₂, add_sub_cancel _ _]
_ = ‖u - v - θ • (w - v)‖ ^ 2 := by
have : u - (θ • w + (1 - θ) • v) = u - v - θ • (w - v) := by
rw [smul_sub, sub_smul, one_smul]
simp only [sub_eq_add_neg, add_comm, add_left_comm, add_assoc, neg_add_rev]
rw [this]
_ = ‖u - v‖ ^ 2 - 2 * θ * inner (u - v) (w - v) + θ * θ * ‖w - v‖ ^ 2 := by
rw [@norm_sub_sq ℝ, inner_smul_right, norm_smul]
simp only [sq]
show
‖u - v‖ * ‖u - v‖ - 2 * (θ * inner (u - v) (w - v)) +
absR θ * ‖w - v‖ * (absR θ * ‖w - v‖) =
‖u - v‖ * ‖u - v‖ - 2 * θ * inner (u - v) (w - v) + θ * θ * (‖w - v‖ * ‖w - v‖)
rw [abs_of_pos hθ₁]; ring
have eq₁ :
‖u - v‖ ^ 2 - 2 * θ * inner (u - v) (w - v) + θ * θ * ‖w - v‖ ^ 2 =
‖u - v‖ ^ 2 + (θ * θ * ‖w - v‖ ^ 2 - 2 * θ * inner (u - v) (w - v)) := by
abel
rw [eq₁, le_add_iff_nonneg_right] at this
have eq₂ :
θ * θ * ‖w - v‖ ^ 2 - 2 * θ * inner (u - v) (w - v) =
θ * (θ * ‖w - v‖ ^ 2 - 2 * inner (u - v) (w - v)) := by ring
rw [eq₂] at this
have := le_of_sub_nonneg (nonneg_of_mul_nonneg_right this hθ₁)
exact this
by_cases hq : q = 0
· rw [hq] at this
have : p ≤ 0 := by
have := this (1 : ℝ) (by norm_num) (by norm_num)
linarith
exact this
· have q_pos : 0 < q := lt_of_le_of_ne (sq_nonneg _) fun h ↦ hq h.symm
by_contra hp
rw [not_le] at hp
let θ := min (1 : ℝ) (p / q)
have eq₁ : θ * q ≤ p :=
calc
θ * q ≤ p / q * q := mul_le_mul_of_nonneg_right (min_le_right _ _) (sq_nonneg _)
_ = p := div_mul_cancel₀ _ hq
have : 2 * p ≤ p :=
calc
2 * p ≤ θ * q := by
set_option tactic.skipAssignedInstances false in
exact this θ (lt_min (by norm_num) (div_pos hp q_pos)) (by norm_num [θ])
_ ≤ p := eq₁
linarith
· intro h
apply le_antisymm
· apply le_ciInf
intro w
apply nonneg_le_nonneg_of_sq_le_sq (norm_nonneg _)
have := h w w.2
calc
‖u - v‖ * ‖u - v‖ ≤ ‖u - v‖ * ‖u - v‖ - 2 * inner (u - v) ((w : F) - v) := by linarith
_ ≤ ‖u - v‖ ^ 2 - 2 * inner (u - v) ((w : F) - v) + ‖(w : F) - v‖ ^ 2 := by
rw [sq]
refine le_add_of_nonneg_right ?_
exact sq_nonneg _
_ = ‖u - v - (w - v)‖ ^ 2 := (@norm_sub_sq ℝ _ _ _ _ _ _).symm
_ = ‖u - w‖ * ‖u - w‖ := by
have : u - v - (w - v) = u - w := by abel
rw [this, sq]
· show ⨅ w : K, ‖u - w‖ ≤ (fun w : K => ‖u - w‖) ⟨v, hv⟩
apply ciInf_le
use 0
rintro y ⟨z, rfl⟩
exact norm_nonneg _
#align norm_eq_infi_iff_real_inner_le_zero norm_eq_iInf_iff_real_inner_le_zero
variable (K : Submodule 𝕜 E)
/-- Existence of projections on complete subspaces.
Let `u` be a point in an inner product space, and let `K` be a nonempty complete subspace.
Then there exists a (unique) `v` in `K` that minimizes the distance `‖u - v‖` to `u`.
This point `v` is usually called the orthogonal projection of `u` onto `K`.
-/
theorem exists_norm_eq_iInf_of_complete_subspace (h : IsComplete (↑K : Set E)) :
∀ u : E, ∃ v ∈ K, ‖u - v‖ = ⨅ w : (K : Set E), ‖u - w‖ := by
letI : InnerProductSpace ℝ E := InnerProductSpace.rclikeToReal 𝕜 E
letI : Module ℝ E := RestrictScalars.module ℝ 𝕜 E
let K' : Submodule ℝ E := Submodule.restrictScalars ℝ K
exact exists_norm_eq_iInf_of_complete_convex ⟨0, K'.zero_mem⟩ h K'.convex
#align exists_norm_eq_infi_of_complete_subspace exists_norm_eq_iInf_of_complete_subspace
/-- Characterization of minimizers in the projection on a subspace, in the real case.
Let `u` be a point in a real inner product space, and let `K` be a nonempty subspace.
Then point `v` minimizes the distance `‖u - v‖` over points in `K` if and only if
for all `w ∈ K`, `⟪u - v, w⟫ = 0` (i.e., `u - v` is orthogonal to the subspace `K`).
This is superceded by `norm_eq_iInf_iff_inner_eq_zero` that gives the same conclusion over
any `RCLike` field.
-/
theorem norm_eq_iInf_iff_real_inner_eq_zero (K : Submodule ℝ F) {u : F} {v : F} (hv : v ∈ K) :
(‖u - v‖ = ⨅ w : (↑K : Set F), ‖u - w‖) ↔ ∀ w ∈ K, ⟪u - v, w⟫_ℝ = 0 :=
Iff.intro
(by
intro h
have h : ∀ w ∈ K, ⟪u - v, w - v⟫_ℝ ≤ 0 := by
rwa [norm_eq_iInf_iff_real_inner_le_zero] at h
exacts [K.convex, hv]
intro w hw
have le : ⟪u - v, w⟫_ℝ ≤ 0 := by
let w' := w + v
have : w' ∈ K := Submodule.add_mem _ hw hv
have h₁ := h w' this
have h₂ : w' - v = w := by
simp only [w', add_neg_cancel_right, sub_eq_add_neg]
rw [h₂] at h₁
exact h₁
have ge : ⟪u - v, w⟫_ℝ ≥ 0 := by
let w'' := -w + v
have : w'' ∈ K := Submodule.add_mem _ (Submodule.neg_mem _ hw) hv
have h₁ := h w'' this
have h₂ : w'' - v = -w := by
simp only [w'', neg_inj, add_neg_cancel_right, sub_eq_add_neg]
rw [h₂, inner_neg_right] at h₁
linarith
exact le_antisymm le ge)
(by
intro h
have : ∀ w ∈ K, ⟪u - v, w - v⟫_ℝ ≤ 0 := by
intro w hw
let w' := w - v
have : w' ∈ K := Submodule.sub_mem _ hw hv
have h₁ := h w' this
exact le_of_eq h₁
rwa [norm_eq_iInf_iff_real_inner_le_zero]
exacts [Submodule.convex _, hv])
#align norm_eq_infi_iff_real_inner_eq_zero norm_eq_iInf_iff_real_inner_eq_zero
/-- Characterization of minimizers in the projection on a subspace.
Let `u` be a point in an inner product space, and let `K` be a nonempty subspace.
Then point `v` minimizes the distance `‖u - v‖` over points in `K` if and only if
for all `w ∈ K`, `⟪u - v, w⟫ = 0` (i.e., `u - v` is orthogonal to the subspace `K`)
-/
theorem norm_eq_iInf_iff_inner_eq_zero {u : E} {v : E} (hv : v ∈ K) :
(‖u - v‖ = ⨅ w : K, ‖u - w‖) ↔ ∀ w ∈ K, ⟪u - v, w⟫ = 0 := by
letI : InnerProductSpace ℝ E := InnerProductSpace.rclikeToReal 𝕜 E
letI : Module ℝ E := RestrictScalars.module ℝ 𝕜 E
let K' : Submodule ℝ E := K.restrictScalars ℝ
constructor
· intro H
have A : ∀ w ∈ K, re ⟪u - v, w⟫ = 0 := (norm_eq_iInf_iff_real_inner_eq_zero K' hv).1 H
intro w hw
apply ext
· simp [A w hw]
· symm
calc
im (0 : 𝕜) = 0 := im.map_zero
_ = re ⟪u - v, (-I : 𝕜) • w⟫ := (A _ (K.smul_mem (-I) hw)).symm
_ = re (-I * ⟪u - v, w⟫) := by rw [inner_smul_right]
_ = im ⟪u - v, w⟫ := by simp
· intro H
have : ∀ w ∈ K', ⟪u - v, w⟫_ℝ = 0 := by
intro w hw
rw [real_inner_eq_re_inner, H w hw]
exact zero_re'
exact (norm_eq_iInf_iff_real_inner_eq_zero K' hv).2 this
#align norm_eq_infi_iff_inner_eq_zero norm_eq_iInf_iff_inner_eq_zero
/-- A subspace `K : Submodule 𝕜 E` has an orthogonal projection if evey vector `v : E` admits an
orthogonal projection to `K`. -/
class HasOrthogonalProjection (K : Submodule 𝕜 E) : Prop where
exists_orthogonal (v : E) : ∃ w ∈ K, v - w ∈ Kᗮ
instance (priority := 100) HasOrthogonalProjection.ofCompleteSpace [CompleteSpace K] :
HasOrthogonalProjection K where
exists_orthogonal v := by
rcases exists_norm_eq_iInf_of_complete_subspace K (completeSpace_coe_iff_isComplete.mp ‹_›) v
with ⟨w, hwK, hw⟩
refine ⟨w, hwK, (K.mem_orthogonal' _).2 ?_⟩
rwa [← norm_eq_iInf_iff_inner_eq_zero K hwK]
instance [HasOrthogonalProjection K] : HasOrthogonalProjection Kᗮ where
exists_orthogonal v := by
rcases HasOrthogonalProjection.exists_orthogonal (K := K) v with ⟨w, hwK, hw⟩
refine ⟨_, hw, ?_⟩
rw [sub_sub_cancel]
exact K.le_orthogonal_orthogonal hwK
instance HasOrthogonalProjection.map_linearIsometryEquiv [HasOrthogonalProjection K]
{E' : Type*} [NormedAddCommGroup E'] [InnerProductSpace 𝕜 E'] (f : E ≃ₗᵢ[𝕜] E') :
HasOrthogonalProjection (K.map (f.toLinearEquiv : E →ₗ[𝕜] E')) where
exists_orthogonal v := by
rcases HasOrthogonalProjection.exists_orthogonal (K := K) (f.symm v) with ⟨w, hwK, hw⟩
refine ⟨f w, Submodule.mem_map_of_mem hwK, Set.forall_mem_image.2 fun u hu ↦ ?_⟩
erw [← f.symm.inner_map_map, f.symm_apply_apply, map_sub, f.symm_apply_apply, hw u hu]
instance HasOrthogonalProjection.map_linearIsometryEquiv' [HasOrthogonalProjection K]
{E' : Type*} [NormedAddCommGroup E'] [InnerProductSpace 𝕜 E'] (f : E ≃ₗᵢ[𝕜] E') :
HasOrthogonalProjection (K.map f.toLinearIsometry) :=
HasOrthogonalProjection.map_linearIsometryEquiv K f
instance : HasOrthogonalProjection (⊤ : Submodule 𝕜 E) := ⟨fun v ↦ ⟨v, trivial, by simp⟩⟩
section orthogonalProjection
variable [HasOrthogonalProjection K]
/-- The orthogonal projection onto a complete subspace, as an
unbundled function. This definition is only intended for use in
setting up the bundled version `orthogonalProjection` and should not
be used once that is defined. -/
def orthogonalProjectionFn (v : E) :=
(HasOrthogonalProjection.exists_orthogonal (K := K) v).choose
#align orthogonal_projection_fn orthogonalProjectionFn
variable {K}
/-- The unbundled orthogonal projection is in the given subspace.
This lemma is only intended for use in setting up the bundled version
and should not be used once that is defined. -/
theorem orthogonalProjectionFn_mem (v : E) : orthogonalProjectionFn K v ∈ K :=
(HasOrthogonalProjection.exists_orthogonal (K := K) v).choose_spec.left
#align orthogonal_projection_fn_mem orthogonalProjectionFn_mem
/-- The characterization of the unbundled orthogonal projection. This
lemma is only intended for use in setting up the bundled version
and should not be used once that is defined. -/
theorem orthogonalProjectionFn_inner_eq_zero (v : E) :
∀ w ∈ K, ⟪v - orthogonalProjectionFn K v, w⟫ = 0 :=
(K.mem_orthogonal' _).1 (HasOrthogonalProjection.exists_orthogonal (K := K) v).choose_spec.right
#align orthogonal_projection_fn_inner_eq_zero orthogonalProjectionFn_inner_eq_zero
/-- The unbundled orthogonal projection is the unique point in `K`
with the orthogonality property. This lemma is only intended for use
in setting up the bundled version and should not be used once that is
defined. -/
theorem eq_orthogonalProjectionFn_of_mem_of_inner_eq_zero {u v : E} (hvm : v ∈ K)
(hvo : ∀ w ∈ K, ⟪u - v, w⟫ = 0) : orthogonalProjectionFn K u = v := by
rw [← sub_eq_zero, ← @inner_self_eq_zero 𝕜]
have hvs : orthogonalProjectionFn K u - v ∈ K :=
Submodule.sub_mem K (orthogonalProjectionFn_mem u) hvm
have huo : ⟪u - orthogonalProjectionFn K u, orthogonalProjectionFn K u - v⟫ = 0 :=
orthogonalProjectionFn_inner_eq_zero u _ hvs
have huv : ⟪u - v, orthogonalProjectionFn K u - v⟫ = 0 := hvo _ hvs
have houv : ⟪u - v - (u - orthogonalProjectionFn K u), orthogonalProjectionFn K u - v⟫ = 0 := by
rw [inner_sub_left, huo, huv, sub_zero]
rwa [sub_sub_sub_cancel_left] at houv
#align eq_orthogonal_projection_fn_of_mem_of_inner_eq_zero eq_orthogonalProjectionFn_of_mem_of_inner_eq_zero
variable (K)
theorem orthogonalProjectionFn_norm_sq (v : E) :
‖v‖ * ‖v‖ =
‖v - orthogonalProjectionFn K v‖ * ‖v - orthogonalProjectionFn K v‖ +
‖orthogonalProjectionFn K v‖ * ‖orthogonalProjectionFn K v‖ := by
set p := orthogonalProjectionFn K v
have h' : ⟪v - p, p⟫ = 0 :=
orthogonalProjectionFn_inner_eq_zero _ _ (orthogonalProjectionFn_mem v)
convert norm_add_sq_eq_norm_sq_add_norm_sq_of_inner_eq_zero (v - p) p h' using 2 <;> simp
#align orthogonal_projection_fn_norm_sq orthogonalProjectionFn_norm_sq
/-- The orthogonal projection onto a complete subspace. -/
def orthogonalProjection : E →L[𝕜] K :=
LinearMap.mkContinuous
{ toFun := fun v => ⟨orthogonalProjectionFn K v, orthogonalProjectionFn_mem v⟩
map_add' := fun x y => by
have hm : orthogonalProjectionFn K x + orthogonalProjectionFn K y ∈ K :=
Submodule.add_mem K (orthogonalProjectionFn_mem x) (orthogonalProjectionFn_mem y)
have ho :
∀ w ∈ K, ⟪x + y - (orthogonalProjectionFn K x + orthogonalProjectionFn K y), w⟫ = 0 := by
intro w hw
rw [add_sub_add_comm, inner_add_left, orthogonalProjectionFn_inner_eq_zero _ w hw,
orthogonalProjectionFn_inner_eq_zero _ w hw, add_zero]
ext
simp [eq_orthogonalProjectionFn_of_mem_of_inner_eq_zero hm ho]
map_smul' := fun c x => by
have hm : c • orthogonalProjectionFn K x ∈ K :=
Submodule.smul_mem K _ (orthogonalProjectionFn_mem x)
have ho : ∀ w ∈ K, ⟪c • x - c • orthogonalProjectionFn K x, w⟫ = 0 := by
intro w hw
rw [← smul_sub, inner_smul_left, orthogonalProjectionFn_inner_eq_zero _ w hw,
mul_zero]
ext
simp [eq_orthogonalProjectionFn_of_mem_of_inner_eq_zero hm ho] }
1 fun x => by
simp only [one_mul, LinearMap.coe_mk]
refine le_of_pow_le_pow_left two_ne_zero (norm_nonneg _) ?_
change ‖orthogonalProjectionFn K x‖ ^ 2 ≤ ‖x‖ ^ 2
nlinarith [orthogonalProjectionFn_norm_sq K x]
#align orthogonal_projection orthogonalProjection
variable {K}
@[simp]
theorem orthogonalProjectionFn_eq (v : E) :
orthogonalProjectionFn K v = (orthogonalProjection K v : E) :=
rfl
#align orthogonal_projection_fn_eq orthogonalProjectionFn_eq
/-- The characterization of the orthogonal projection. -/
@[simp]
theorem orthogonalProjection_inner_eq_zero (v : E) :
∀ w ∈ K, ⟪v - orthogonalProjection K v, w⟫ = 0 :=
orthogonalProjectionFn_inner_eq_zero v
#align orthogonal_projection_inner_eq_zero orthogonalProjection_inner_eq_zero
/-- The difference of `v` from its orthogonal projection onto `K` is in `Kᗮ`. -/
@[simp]
theorem sub_orthogonalProjection_mem_orthogonal (v : E) : v - orthogonalProjection K v ∈ Kᗮ := by
intro w hw
rw [inner_eq_zero_symm]
exact orthogonalProjection_inner_eq_zero _ _ hw
#align sub_orthogonal_projection_mem_orthogonal sub_orthogonalProjection_mem_orthogonal
/-- The orthogonal projection is the unique point in `K` with the
orthogonality property. -/
theorem eq_orthogonalProjection_of_mem_of_inner_eq_zero {u v : E} (hvm : v ∈ K)
(hvo : ∀ w ∈ K, ⟪u - v, w⟫ = 0) : (orthogonalProjection K u : E) = v :=
eq_orthogonalProjectionFn_of_mem_of_inner_eq_zero hvm hvo
#align eq_orthogonal_projection_of_mem_of_inner_eq_zero eq_orthogonalProjection_of_mem_of_inner_eq_zero
/-- A point in `K` with the orthogonality property (here characterized in terms of `Kᗮ`) must be the
orthogonal projection. -/
theorem eq_orthogonalProjection_of_mem_orthogonal {u v : E} (hv : v ∈ K)
(hvo : u - v ∈ Kᗮ) : (orthogonalProjection K u : E) = v :=
eq_orthogonalProjectionFn_of_mem_of_inner_eq_zero hv <| (Submodule.mem_orthogonal' _ _).1 hvo
#align eq_orthogonal_projection_of_mem_orthogonal eq_orthogonalProjection_of_mem_orthogonal
/-- A point in `K` with the orthogonality property (here characterized in terms of `Kᗮ`) must be the
orthogonal projection. -/
theorem eq_orthogonalProjection_of_mem_orthogonal' {u v z : E}
(hv : v ∈ K) (hz : z ∈ Kᗮ) (hu : u = v + z) : (orthogonalProjection K u : E) = v :=
eq_orthogonalProjection_of_mem_orthogonal hv (by simpa [hu] )
#align eq_orthogonal_projection_of_mem_orthogonal' eq_orthogonalProjection_of_mem_orthogonal'
@[simp]
theorem orthogonalProjection_orthogonal_val (u : E) :
(orthogonalProjection Kᗮ u : E) = u - orthogonalProjection K u :=
eq_orthogonalProjection_of_mem_orthogonal' (sub_orthogonalProjection_mem_orthogonal _)
(K.le_orthogonal_orthogonal (orthogonalProjection K u).2) <| by simp
theorem orthogonalProjection_orthogonal (u : E) :
orthogonalProjection Kᗮ u =
⟨u - orthogonalProjection K u, sub_orthogonalProjection_mem_orthogonal _⟩ :=
Subtype.eq <| orthogonalProjection_orthogonal_val _
/-- The orthogonal projection of `y` on `U` minimizes the distance `‖y - x‖` for `x ∈ U`. -/
theorem orthogonalProjection_minimal {U : Submodule 𝕜 E} [HasOrthogonalProjection U] (y : E) :
‖y - orthogonalProjection U y‖ = ⨅ x : U, ‖y - x‖ := by
rw [norm_eq_iInf_iff_inner_eq_zero _ (Submodule.coe_mem _)]
exact orthogonalProjection_inner_eq_zero _
#align orthogonal_projection_minimal orthogonalProjection_minimal
/-- The orthogonal projections onto equal subspaces are coerced back to the same point in `E`. -/
theorem eq_orthogonalProjection_of_eq_submodule {K' : Submodule 𝕜 E} [HasOrthogonalProjection K']
(h : K = K') (u : E) : (orthogonalProjection K u : E) = (orthogonalProjection K' u : E) := by
subst h; rfl
#align eq_orthogonal_projection_of_eq_submodule eq_orthogonalProjection_of_eq_submodule
/-- The orthogonal projection sends elements of `K` to themselves. -/
@[simp]
theorem orthogonalProjection_mem_subspace_eq_self (v : K) : orthogonalProjection K v = v := by
ext
apply eq_orthogonalProjection_of_mem_of_inner_eq_zero <;> simp
#align orthogonal_projection_mem_subspace_eq_self orthogonalProjection_mem_subspace_eq_self
/-- A point equals its orthogonal projection if and only if it lies in the subspace. -/
theorem orthogonalProjection_eq_self_iff {v : E} : (orthogonalProjection K v : E) = v ↔ v ∈ K := by
refine ⟨fun h => ?_, fun h => eq_orthogonalProjection_of_mem_of_inner_eq_zero h ?_⟩
· rw [← h]
simp
· simp
#align orthogonal_projection_eq_self_iff orthogonalProjection_eq_self_iff
@[simp]
theorem orthogonalProjection_eq_zero_iff {v : E} : orthogonalProjection K v = 0 ↔ v ∈ Kᗮ := by
refine ⟨fun h ↦ ?_, fun h ↦ Subtype.eq <| eq_orthogonalProjection_of_mem_orthogonal
(zero_mem _) ?_⟩
· simpa [h] using sub_orthogonalProjection_mem_orthogonal (K := K) v
· simpa
@[simp]
theorem ker_orthogonalProjection : LinearMap.ker (orthogonalProjection K) = Kᗮ := by
ext; exact orthogonalProjection_eq_zero_iff
theorem LinearIsometry.map_orthogonalProjection {E E' : Type*} [NormedAddCommGroup E]
[NormedAddCommGroup E'] [InnerProductSpace 𝕜 E] [InnerProductSpace 𝕜 E'] (f : E →ₗᵢ[𝕜] E')
(p : Submodule 𝕜 E) [HasOrthogonalProjection p] [HasOrthogonalProjection (p.map f.toLinearMap)]
(x : E) : f (orthogonalProjection p x) = orthogonalProjection (p.map f.toLinearMap) (f x) := by
refine (eq_orthogonalProjection_of_mem_of_inner_eq_zero ?_ fun y hy => ?_).symm
· refine Submodule.apply_coe_mem_map _ _
rcases hy with ⟨x', hx', rfl : f x' = y⟩
rw [← f.map_sub, f.inner_map_map, orthogonalProjection_inner_eq_zero x x' hx']
#align linear_isometry.map_orthogonal_projection LinearIsometry.map_orthogonalProjection
theorem LinearIsometry.map_orthogonalProjection' {E E' : Type*} [NormedAddCommGroup E]
[NormedAddCommGroup E'] [InnerProductSpace 𝕜 E] [InnerProductSpace 𝕜 E'] (f : E →ₗᵢ[𝕜] E')
(p : Submodule 𝕜 E) [HasOrthogonalProjection p] [HasOrthogonalProjection (p.map f)] (x : E) :
f (orthogonalProjection p x) = orthogonalProjection (p.map f) (f x) :=
have : HasOrthogonalProjection (p.map f.toLinearMap) := ‹_›
f.map_orthogonalProjection p x
#align linear_isometry.map_orthogonal_projection' LinearIsometry.map_orthogonalProjection'
/-- Orthogonal projection onto the `Submodule.map` of a subspace. -/
theorem orthogonalProjection_map_apply {E E' : Type*} [NormedAddCommGroup E]
[NormedAddCommGroup E'] [InnerProductSpace 𝕜 E] [InnerProductSpace 𝕜 E'] (f : E ≃ₗᵢ[𝕜] E')
(p : Submodule 𝕜 E) [HasOrthogonalProjection p] (x : E') :
(orthogonalProjection (p.map (f.toLinearEquiv : E →ₗ[𝕜] E')) x : E') =
f (orthogonalProjection p (f.symm x)) := by
simpa only [f.coe_toLinearIsometry, f.apply_symm_apply] using
(f.toLinearIsometry.map_orthogonalProjection' p (f.symm x)).symm
#align orthogonal_projection_map_apply orthogonalProjection_map_apply
/-- The orthogonal projection onto the trivial submodule is the zero map. -/
@[simp]
theorem orthogonalProjection_bot : orthogonalProjection (⊥ : Submodule 𝕜 E) = 0 := by ext
#align orthogonal_projection_bot orthogonalProjection_bot
variable (K)
/-- The orthogonal projection has norm `≤ 1`. -/
theorem orthogonalProjection_norm_le : ‖orthogonalProjection K‖ ≤ 1 :=
LinearMap.mkContinuous_norm_le _ (by norm_num) _
#align orthogonal_projection_norm_le orthogonalProjection_norm_le
variable (𝕜)
theorem smul_orthogonalProjection_singleton {v : E} (w : E) :
((‖v‖ ^ 2 : ℝ) : 𝕜) • (orthogonalProjection (𝕜 ∙ v) w : E) = ⟪v, w⟫ • v := by
suffices ((orthogonalProjection (𝕜 ∙ v) (((‖v‖ : 𝕜) ^ 2) • w)) : E) = ⟪v, w⟫ • v by
simpa using this
apply eq_orthogonalProjection_of_mem_of_inner_eq_zero
· rw [Submodule.mem_span_singleton]
use ⟪v, w⟫
· rw [← Submodule.mem_orthogonal', Submodule.mem_orthogonal_singleton_iff_inner_left]
simp [inner_sub_left, inner_smul_left, inner_self_eq_norm_sq_to_K, mul_comm]
#align smul_orthogonal_projection_singleton smul_orthogonalProjection_singleton
/-- Formula for orthogonal projection onto a single vector. -/
theorem orthogonalProjection_singleton {v : E} (w : E) :
(orthogonalProjection (𝕜 ∙ v) w : E) = (⟪v, w⟫ / ((‖v‖ ^ 2 : ℝ) : 𝕜)) • v := by
by_cases hv : v = 0
· rw [hv, eq_orthogonalProjection_of_eq_submodule (Submodule.span_zero_singleton 𝕜)]
simp
have hv' : ‖v‖ ≠ 0 := ne_of_gt (norm_pos_iff.mpr hv)
have key :
(((‖v‖ ^ 2 : ℝ) : 𝕜)⁻¹ * ((‖v‖ ^ 2 : ℝ) : 𝕜)) • ((orthogonalProjection (𝕜 ∙ v) w) : E) =
(((‖v‖ ^ 2 : ℝ) : 𝕜)⁻¹ * ⟪v, w⟫) • v := by
simp [mul_smul, smul_orthogonalProjection_singleton 𝕜 w, -ofReal_pow]
convert key using 1 <;> field_simp [hv']
#align orthogonal_projection_singleton orthogonalProjection_singleton
/-- Formula for orthogonal projection onto a single unit vector. -/
theorem orthogonalProjection_unit_singleton {v : E} (hv : ‖v‖ = 1) (w : E) :
(orthogonalProjection (𝕜 ∙ v) w : E) = ⟪v, w⟫ • v := by
rw [← smul_orthogonalProjection_singleton 𝕜 w]
simp [hv]
#align orthogonal_projection_unit_singleton orthogonalProjection_unit_singleton
end orthogonalProjection
section reflection
variable [HasOrthogonalProjection K]
-- Porting note: `bit0` is deprecated.
/-- Auxiliary definition for `reflection`: the reflection as a linear equivalence. -/
def reflectionLinearEquiv : E ≃ₗ[𝕜] E :=
LinearEquiv.ofInvolutive
(2 • (K.subtype.comp (orthogonalProjection K).toLinearMap) - LinearMap.id) fun x => by
simp [two_smul]
#align reflection_linear_equiv reflectionLinearEquivₓ
/-- Reflection in a complete subspace of an inner product space. The word "reflection" is
sometimes understood to mean specifically reflection in a codimension-one subspace, and sometimes
more generally to cover operations such as reflection in a point. The definition here, of
reflection in a subspace, is a more general sense of the word that includes both those common
cases. -/
def reflection : E ≃ₗᵢ[𝕜] E :=
{ reflectionLinearEquiv K with
norm_map' := by
intro x
dsimp only
let w : K := orthogonalProjection K x
let v := x - w
have : ⟪v, w⟫ = 0 := orthogonalProjection_inner_eq_zero x w w.2
convert norm_sub_eq_norm_add this using 2
· rw [LinearEquiv.coe_mk, reflectionLinearEquiv, LinearEquiv.toFun_eq_coe,
LinearEquiv.coe_ofInvolutive, LinearMap.sub_apply, LinearMap.id_apply, two_smul,
LinearMap.add_apply, LinearMap.comp_apply, Submodule.subtype_apply,
ContinuousLinearMap.coe_coe]
dsimp [v]
abel
· simp only [v, add_sub_cancel, eq_self_iff_true] }
#align reflection reflection
variable {K}
/-- The result of reflecting. -/
theorem reflection_apply (p : E) : reflection K p = 2 • (orthogonalProjection K p : E) - p :=
rfl
#align reflection_apply reflection_applyₓ
/-- Reflection is its own inverse. -/
@[simp]
theorem reflection_symm : (reflection K).symm = reflection K :=
rfl
#align reflection_symm reflection_symm
/-- Reflection is its own inverse. -/
@[simp]
theorem reflection_inv : (reflection K)⁻¹ = reflection K :=
rfl
#align reflection_inv reflection_inv
variable (K)
/-- Reflecting twice in the same subspace. -/
@[simp]
theorem reflection_reflection (p : E) : reflection K (reflection K p) = p :=
(reflection K).left_inv p
#align reflection_reflection reflection_reflection
/-- Reflection is involutive. -/
theorem reflection_involutive : Function.Involutive (reflection K) :=
reflection_reflection K
#align reflection_involutive reflection_involutive
/-- Reflection is involutive. -/
@[simp]
theorem reflection_trans_reflection :
(reflection K).trans (reflection K) = LinearIsometryEquiv.refl 𝕜 E :=
LinearIsometryEquiv.ext <| reflection_involutive K
#align reflection_trans_reflection reflection_trans_reflection
/-- Reflection is involutive. -/
@[simp]
theorem reflection_mul_reflection : reflection K * reflection K = 1 :=
reflection_trans_reflection _
#align reflection_mul_reflection reflection_mul_reflection
theorem reflection_orthogonal_apply (v : E) : reflection Kᗮ v = -reflection K v := by
simp [reflection_apply]; abel
theorem reflection_orthogonal : reflection Kᗮ = .trans (reflection K) (.neg _) := by
ext; apply reflection_orthogonal_apply
variable {K}
theorem reflection_singleton_apply (u v : E) :
reflection (𝕜 ∙ u) v = 2 • (⟪u, v⟫ / ((‖u‖ : 𝕜) ^ 2)) • u - v := by
rw [reflection_apply, orthogonalProjection_singleton, ofReal_pow]
/-- A point is its own reflection if and only if it is in the subspace. -/
theorem reflection_eq_self_iff (x : E) : reflection K x = x ↔ x ∈ K := by
rw [← orthogonalProjection_eq_self_iff, reflection_apply, sub_eq_iff_eq_add', ← two_smul 𝕜,
two_smul ℕ, ← two_smul 𝕜]
refine (smul_right_injective E ?_).eq_iff
exact two_ne_zero
#align reflection_eq_self_iff reflection_eq_self_iff
theorem reflection_mem_subspace_eq_self {x : E} (hx : x ∈ K) : reflection K x = x :=
(reflection_eq_self_iff x).mpr hx
#align reflection_mem_subspace_eq_self reflection_mem_subspace_eq_self
/-- Reflection in the `Submodule.map` of a subspace. -/
theorem reflection_map_apply {E E' : Type*} [NormedAddCommGroup E] [NormedAddCommGroup E']
[InnerProductSpace 𝕜 E] [InnerProductSpace 𝕜 E'] (f : E ≃ₗᵢ[𝕜] E') (K : Submodule 𝕜 E)
[HasOrthogonalProjection K] (x : E') :
reflection (K.map (f.toLinearEquiv : E →ₗ[𝕜] E')) x = f (reflection K (f.symm x)) := by
simp [two_smul, reflection_apply, orthogonalProjection_map_apply f K x]
#align reflection_map_apply reflection_map_apply
/-- Reflection in the `Submodule.map` of a subspace. -/
theorem reflection_map {E E' : Type*} [NormedAddCommGroup E] [NormedAddCommGroup E']
[InnerProductSpace 𝕜 E] [InnerProductSpace 𝕜 E'] (f : E ≃ₗᵢ[𝕜] E') (K : Submodule 𝕜 E)
[HasOrthogonalProjection K] :
reflection (K.map (f.toLinearEquiv : E →ₗ[𝕜] E')) = f.symm.trans ((reflection K).trans f) :=
LinearIsometryEquiv.ext <| reflection_map_apply f K
#align reflection_map reflection_map
/-- Reflection through the trivial subspace {0} is just negation. -/
@[simp]
theorem reflection_bot : reflection (⊥ : Submodule 𝕜 E) = LinearIsometryEquiv.neg 𝕜 := by
ext; simp [reflection_apply]
#align reflection_bot reflection_bot
end reflection
section Orthogonal
/-- If `K₁` is complete and contained in `K₂`, `K₁` and `K₁ᗮ ⊓ K₂` span `K₂`. -/
theorem Submodule.sup_orthogonal_inf_of_completeSpace {K₁ K₂ : Submodule 𝕜 E} (h : K₁ ≤ K₂)
[HasOrthogonalProjection K₁] : K₁ ⊔ K₁ᗮ ⊓ K₂ = K₂ := by
ext x
rw [Submodule.mem_sup]
let v : K₁ := orthogonalProjection K₁ x
have hvm : x - v ∈ K₁ᗮ := sub_orthogonalProjection_mem_orthogonal x
constructor
· rintro ⟨y, hy, z, hz, rfl⟩
exact K₂.add_mem (h hy) hz.2
· exact fun hx => ⟨v, v.prop, x - v, ⟨hvm, K₂.sub_mem hx (h v.prop)⟩, add_sub_cancel _ _⟩
#align submodule.sup_orthogonal_inf_of_complete_space Submodule.sup_orthogonal_inf_of_completeSpace
variable {K}
/-- If `K` is complete, `K` and `Kᗮ` span the whole space. -/
theorem Submodule.sup_orthogonal_of_completeSpace [HasOrthogonalProjection K] : K ⊔ Kᗮ = ⊤ := by
convert Submodule.sup_orthogonal_inf_of_completeSpace (le_top : K ≤ ⊤) using 2
simp
#align submodule.sup_orthogonal_of_complete_space Submodule.sup_orthogonal_of_completeSpace
variable (K)
/-- If `K` is complete, any `v` in `E` can be expressed as a sum of elements of `K` and `Kᗮ`. -/
theorem Submodule.exists_add_mem_mem_orthogonal [HasOrthogonalProjection K] (v : E) :
∃ y ∈ K, ∃ z ∈ Kᗮ, v = y + z :=
⟨orthogonalProjection K v, Subtype.coe_prop _, v - orthogonalProjection K v,
sub_orthogonalProjection_mem_orthogonal _, by simp⟩
#align submodule.exists_sum_mem_mem_orthogonal Submodule.exists_add_mem_mem_orthogonal
/-- If `K` admits an orthogonal projection, then the orthogonal complement of its orthogonal
complement is itself. -/
@[simp]
theorem Submodule.orthogonal_orthogonal [HasOrthogonalProjection K] : Kᗮᗮ = K := by
ext v
constructor
· obtain ⟨y, hy, z, hz, rfl⟩ := K.exists_add_mem_mem_orthogonal v
intro hv
have hz' : z = 0 := by
have hyz : ⟪z, y⟫ = 0 := by simp [hz y hy, inner_eq_zero_symm]
simpa [inner_add_right, hyz] using hv z hz
simp [hy, hz']
· intro hv w hw
rw [inner_eq_zero_symm]
exact hw v hv
#align submodule.orthogonal_orthogonal Submodule.orthogonal_orthogonal
/-- In a Hilbert space, the orthogonal complement of the orthogonal complement of a subspace `K`
is the topological closure of `K`.
Note that the completeness assumption is necessary. Let `E` be the space `ℕ →₀ ℝ` with inner space
structure inherited from `PiLp 2 (fun _ : ℕ ↦ ℝ)`. Let `K` be the subspace of sequences with the sum
of all elements equal to zero. Then `Kᗮ = ⊥`, `Kᗮᗮ = ⊤`. -/
theorem Submodule.orthogonal_orthogonal_eq_closure [CompleteSpace E] :
Kᗮᗮ = K.topologicalClosure := by
refine le_antisymm ?_ ?_
· convert Submodule.orthogonal_orthogonal_monotone K.le_topologicalClosure using 1
rw [K.topologicalClosure.orthogonal_orthogonal]
· exact K.topologicalClosure_minimal K.le_orthogonal_orthogonal Kᗮ.isClosed_orthogonal
#align submodule.orthogonal_orthogonal_eq_closure Submodule.orthogonal_orthogonal_eq_closure
variable {K}
/-- If `K` admits an orthogonal projection, `K` and `Kᗮ` are complements of each other. -/
theorem Submodule.isCompl_orthogonal_of_completeSpace [HasOrthogonalProjection K] : IsCompl K Kᗮ :=
⟨K.orthogonal_disjoint, codisjoint_iff.2 Submodule.sup_orthogonal_of_completeSpace⟩
#align submodule.is_compl_orthogonal_of_complete_space Submodule.isCompl_orthogonal_of_completeSpace
@[simp]
theorem Submodule.orthogonal_eq_bot_iff [HasOrthogonalProjection K] : Kᗮ = ⊥ ↔ K = ⊤ := by
refine ⟨?_, fun h => by rw [h, Submodule.top_orthogonal_eq_bot]⟩
intro h
have : K ⊔ Kᗮ = ⊤ := Submodule.sup_orthogonal_of_completeSpace
rwa [h, sup_comm, bot_sup_eq] at this
#align submodule.orthogonal_eq_bot_iff Submodule.orthogonal_eq_bot_iff
/-- The orthogonal projection onto `K` of an element of `Kᗮ` is zero. -/
theorem orthogonalProjection_mem_subspace_orthogonalComplement_eq_zero [HasOrthogonalProjection K]
{v : E} (hv : v ∈ Kᗮ) : orthogonalProjection K v = 0 := by
ext
convert eq_orthogonalProjection_of_mem_orthogonal (K := K) _ _ <;> simp [hv]
#align orthogonal_projection_mem_subspace_orthogonal_complement_eq_zero orthogonalProjection_mem_subspace_orthogonalComplement_eq_zero
/-- The projection into `U` from an orthogonal submodule `V` is the zero map. -/
theorem Submodule.IsOrtho.orthogonalProjection_comp_subtypeL {U V : Submodule 𝕜 E}
[HasOrthogonalProjection U] (h : U ⟂ V) : orthogonalProjection U ∘L V.subtypeL = 0 :=
ContinuousLinearMap.ext fun v =>
orthogonalProjection_mem_subspace_orthogonalComplement_eq_zero <| h.symm v.prop
set_option linter.uppercaseLean3 false in
#align submodule.is_ortho.orthogonal_projection_comp_subtypeL Submodule.IsOrtho.orthogonalProjection_comp_subtypeL
/-- The projection into `U` from `V` is the zero map if and only if `U` and `V` are orthogonal. -/
theorem orthogonalProjection_comp_subtypeL_eq_zero_iff {U V : Submodule 𝕜 E}
[HasOrthogonalProjection U] : orthogonalProjection U ∘L V.subtypeL = 0 ↔ U ⟂ V :=
⟨fun h u hu v hv => by
convert orthogonalProjection_inner_eq_zero v u hu using 2
have : orthogonalProjection U v = 0 := DFunLike.congr_fun h (⟨_, hv⟩ : V)
rw [this, Submodule.coe_zero, sub_zero], Submodule.IsOrtho.orthogonalProjection_comp_subtypeL⟩
set_option linter.uppercaseLean3 false in
#align orthogonal_projection_comp_subtypeL_eq_zero_iff orthogonalProjection_comp_subtypeL_eq_zero_iff
theorem orthogonalProjection_eq_linear_proj [HasOrthogonalProjection K] (x : E) :
orthogonalProjection K x =
K.linearProjOfIsCompl _ Submodule.isCompl_orthogonal_of_completeSpace x := by
have : IsCompl K Kᗮ := Submodule.isCompl_orthogonal_of_completeSpace
conv_lhs => rw [← Submodule.linear_proj_add_linearProjOfIsCompl_eq_self this x]
rw [map_add, orthogonalProjection_mem_subspace_eq_self,
orthogonalProjection_mem_subspace_orthogonalComplement_eq_zero (Submodule.coe_mem _), add_zero]
#align orthogonal_projection_eq_linear_proj orthogonalProjection_eq_linear_proj
theorem orthogonalProjection_coe_linearMap_eq_linearProj [HasOrthogonalProjection K] :
(orthogonalProjection K : E →ₗ[𝕜] K) =
K.linearProjOfIsCompl _ Submodule.isCompl_orthogonal_of_completeSpace :=
LinearMap.ext <| orthogonalProjection_eq_linear_proj
#align orthogonal_projection_coe_linear_map_eq_linear_proj orthogonalProjection_coe_linearMap_eq_linearProj
/-- The reflection in `K` of an element of `Kᗮ` is its negation. -/
theorem reflection_mem_subspace_orthogonalComplement_eq_neg [HasOrthogonalProjection K] {v : E}
(hv : v ∈ Kᗮ) : reflection K v = -v := by
simp [reflection_apply, orthogonalProjection_mem_subspace_orthogonalComplement_eq_zero hv]
#align reflection_mem_subspace_orthogonal_complement_eq_neg reflection_mem_subspace_orthogonalComplement_eq_neg
/-- The orthogonal projection onto `Kᗮ` of an element of `K` is zero. -/
theorem orthogonalProjection_mem_subspace_orthogonal_precomplement_eq_zero
[HasOrthogonalProjection Kᗮ] {v : E} (hv : v ∈ K) : orthogonalProjection Kᗮ v = 0 :=
orthogonalProjection_mem_subspace_orthogonalComplement_eq_zero (K.le_orthogonal_orthogonal hv)
#align orthogonal_projection_mem_subspace_orthogonal_precomplement_eq_zero orthogonalProjection_mem_subspace_orthogonal_precomplement_eq_zero
/-- If `U ≤ V`, then projecting on `V` and then on `U` is the same as projecting on `U`. -/
theorem orthogonalProjection_orthogonalProjection_of_le {U V : Submodule 𝕜 E}
[HasOrthogonalProjection U] [HasOrthogonalProjection V] (h : U ≤ V) (x : E) :
orthogonalProjection U (orthogonalProjection V x) = orthogonalProjection U x :=
Eq.symm <| by
simpa only [sub_eq_zero, map_sub] using
orthogonalProjection_mem_subspace_orthogonalComplement_eq_zero
(Submodule.orthogonal_le h (sub_orthogonalProjection_mem_orthogonal x))
#align orthogonal_projection_orthogonal_projection_of_le orthogonalProjection_orthogonalProjection_of_le
/-- Given a monotone family `U` of complete submodules of `E` and a fixed `x : E`,
the orthogonal projection of `x` on `U i` tends to the orthogonal projection of `x` on
`(⨆ i, U i).topologicalClosure` along `atTop`. -/
theorem orthogonalProjection_tendsto_closure_iSup [CompleteSpace E] {ι : Type*} [SemilatticeSup ι]
(U : ι → Submodule 𝕜 E) [∀ i, CompleteSpace (U i)] (hU : Monotone U) (x : E) :
Filter.Tendsto (fun i => (orthogonalProjection (U i) x : E)) atTop
(𝓝 (orthogonalProjection (⨆ i, U i).topologicalClosure x : E)) := by
cases isEmpty_or_nonempty ι
· exact tendsto_of_isEmpty
let y := (orthogonalProjection (⨆ i, U i).topologicalClosure x : E)
have proj_x : ∀ i, orthogonalProjection (U i) x = orthogonalProjection (U i) y := fun i =>
(orthogonalProjection_orthogonalProjection_of_le
((le_iSup U i).trans (iSup U).le_topologicalClosure) _).symm
suffices ∀ ε > 0, ∃ I, ∀ i ≥ I, ‖(orthogonalProjection (U i) y : E) - y‖ < ε by
simpa only [proj_x, NormedAddCommGroup.tendsto_atTop] using this
intro ε hε
obtain ⟨a, ha, hay⟩ : ∃ a ∈ ⨆ i, U i, dist y a < ε := by
have y_mem : y ∈ (⨆ i, U i).topologicalClosure := Submodule.coe_mem _
rw [← SetLike.mem_coe, Submodule.topologicalClosure_coe, Metric.mem_closure_iff] at y_mem
exact y_mem ε hε
rw [dist_eq_norm] at hay
obtain ⟨I, hI⟩ : ∃ I, a ∈ U I := by rwa [Submodule.mem_iSup_of_directed _ hU.directed_le] at ha
refine ⟨I, fun i (hi : I ≤ i) => ?_⟩
rw [norm_sub_rev, orthogonalProjection_minimal]
refine lt_of_le_of_lt ?_ hay
change _ ≤ ‖y - (⟨a, hU hi hI⟩ : U i)‖
exact ciInf_le ⟨0, Set.forall_mem_range.mpr fun _ => norm_nonneg _⟩ _
#align orthogonal_projection_tendsto_closure_supr orthogonalProjection_tendsto_closure_iSup
/-- Given a monotone family `U` of complete submodules of `E` with dense span supremum,
and a fixed `x : E`, the orthogonal projection of `x` on `U i` tends to `x` along `at_top`. -/
theorem orthogonalProjection_tendsto_self [CompleteSpace E] {ι : Type*} [SemilatticeSup ι]
(U : ι → Submodule 𝕜 E) [∀ t, CompleteSpace (U t)] (hU : Monotone U) (x : E)
(hU' : ⊤ ≤ (⨆ t, U t).topologicalClosure) :
Filter.Tendsto (fun t => (orthogonalProjection (U t) x : E)) atTop (𝓝 x) := by
rw [← eq_top_iff] at hU'
convert orthogonalProjection_tendsto_closure_iSup U hU x
rw [orthogonalProjection_eq_self_iff.mpr _]
rw [hU']
trivial
#align orthogonal_projection_tendsto_self orthogonalProjection_tendsto_self
/-- The orthogonal complement satisfies `Kᗮᗮᗮ = Kᗮ`. -/
theorem Submodule.triorthogonal_eq_orthogonal [CompleteSpace E] : Kᗮᗮᗮ = Kᗮ := by
rw [Kᗮ.orthogonal_orthogonal_eq_closure]
exact K.isClosed_orthogonal.submodule_topologicalClosure_eq
#align submodule.triorthogonal_eq_orthogonal Submodule.triorthogonal_eq_orthogonal
/-- The closure of `K` is the full space iff `Kᗮ` is trivial. -/
theorem Submodule.topologicalClosure_eq_top_iff [CompleteSpace E] :
K.topologicalClosure = ⊤ ↔ Kᗮ = ⊥ := by
rw [← Submodule.orthogonal_orthogonal_eq_closure]
constructor <;> intro h
· rw [← Submodule.triorthogonal_eq_orthogonal, h, Submodule.top_orthogonal_eq_bot]
· rw [h, Submodule.bot_orthogonal_eq_top]
#align submodule.topological_closure_eq_top_iff Submodule.topologicalClosure_eq_top_iff
namespace Dense
/- Porting note: unneeded assumption `[CompleteSpace E]` was removed from all theorems in this
section. TODO: Move to another file? -/
open Submodule
variable {x y : E}
theorem eq_zero_of_inner_left (hK : Dense (K : Set E)) (h : ∀ v : K, ⟪x, v⟫ = 0) : x = 0 := by
have : (⟪x, ·⟫) = 0 := (continuous_const.inner continuous_id).ext_on
hK continuous_const (Subtype.forall.1 h)
simpa using congr_fun this x
#align dense.eq_zero_of_inner_left Dense.eq_zero_of_inner_left
theorem eq_zero_of_mem_orthogonal (hK : Dense (K : Set E)) (h : x ∈ Kᗮ) : x = 0 :=
eq_zero_of_inner_left hK fun v ↦ (mem_orthogonal' _ _).1 h _ v.2
#align dense.eq_zero_of_mem_orthogonal Dense.eq_zero_of_mem_orthogonal
/-- If `S` is dense and `x - y ∈ Kᗮ`, then `x = y`. -/
theorem eq_of_sub_mem_orthogonal (hK : Dense (K : Set E)) (h : x - y ∈ Kᗮ) : x = y :=
sub_eq_zero.1 <| eq_zero_of_mem_orthogonal hK h
#align dense.eq_of_sub_mem_orthogonal Dense.eq_of_sub_mem_orthogonal
theorem eq_of_inner_left (hK : Dense (K : Set E)) (h : ∀ v : K, ⟪x, v⟫ = ⟪y, v⟫) : x = y :=
hK.eq_of_sub_mem_orthogonal (Submodule.sub_mem_orthogonal_of_inner_left h)
#align dense.eq_of_inner_left Dense.eq_of_inner_left
theorem eq_of_inner_right (hK : Dense (K : Set E)) (h : ∀ v : K, ⟪(v : E), x⟫ = ⟪(v : E), y⟫) :
x = y :=
hK.eq_of_sub_mem_orthogonal (Submodule.sub_mem_orthogonal_of_inner_right h)
#align dense.eq_of_inner_right Dense.eq_of_inner_right
theorem eq_zero_of_inner_right (hK : Dense (K : Set E)) (h : ∀ v : K, ⟪(v : E), x⟫ = 0) : x = 0 :=
hK.eq_of_inner_right fun v => by rw [inner_zero_right, h v]
#align dense.eq_zero_of_inner_right Dense.eq_zero_of_inner_right
end Dense
/-- The reflection in `Kᗮ` of an element of `K` is its negation. -/
theorem reflection_mem_subspace_orthogonal_precomplement_eq_neg [HasOrthogonalProjection K] {v : E}
(hv : v ∈ K) : reflection Kᗮ v = -v :=
reflection_mem_subspace_orthogonalComplement_eq_neg (K.le_orthogonal_orthogonal hv)
#align reflection_mem_subspace_orthogonal_precomplement_eq_neg reflection_mem_subspace_orthogonal_precomplement_eq_neg
/-- The orthogonal projection onto `(𝕜 ∙ v)ᗮ` of `v` is zero. -/
theorem orthogonalProjection_orthogonalComplement_singleton_eq_zero (v : E) :
orthogonalProjection (𝕜 ∙ v)ᗮ v = 0 :=
orthogonalProjection_mem_subspace_orthogonal_precomplement_eq_zero
(Submodule.mem_span_singleton_self v)
#align orthogonal_projection_orthogonal_complement_singleton_eq_zero orthogonalProjection_orthogonalComplement_singleton_eq_zero
/-- The reflection in `(𝕜 ∙ v)ᗮ` of `v` is `-v`. -/
theorem reflection_orthogonalComplement_singleton_eq_neg (v : E) : reflection (𝕜 ∙ v)ᗮ v = -v :=
reflection_mem_subspace_orthogonal_precomplement_eq_neg (Submodule.mem_span_singleton_self v)
#align reflection_orthogonal_complement_singleton_eq_neg reflection_orthogonalComplement_singleton_eq_neg
theorem reflection_sub {v w : F} (h : ‖v‖ = ‖w‖) : reflection (ℝ ∙ (v - w))ᗮ v = w := by
set R : F ≃ₗᵢ[ℝ] F := reflection (ℝ ∙ v - w)ᗮ
suffices R v + R v = w + w by
apply smul_right_injective F (by norm_num : (2 : ℝ) ≠ 0)
simpa [two_smul] using this
have h₁ : R (v - w) = -(v - w) := reflection_orthogonalComplement_singleton_eq_neg (v - w)
have h₂ : R (v + w) = v + w := by
apply reflection_mem_subspace_eq_self
rw [Submodule.mem_orthogonal_singleton_iff_inner_left]
rw [real_inner_add_sub_eq_zero_iff]
exact h
convert congr_arg₂ (· + ·) h₂ h₁ using 1
· simp
· abel
#align reflection_sub reflection_sub
variable (K)
-- Porting note: relax assumptions, swap LHS with RHS
/-- If the orthogonal projection to `K` is well-defined, then a vector splits as the sum of its
orthogonal projections onto a complete submodule `K` and onto the orthogonal complement of `K`. -/
theorem orthogonalProjection_add_orthogonalProjection_orthogonal [HasOrthogonalProjection K]
(w : E) : (orthogonalProjection K w : E) + (orthogonalProjection Kᗮ w : E) = w := by
simp
#align eq_sum_orthogonal_projection_self_orthogonal_complement orthogonalProjection_add_orthogonalProjection_orthogonalₓ
/-- The Pythagorean theorem, for an orthogonal projection. -/
| Mathlib/Analysis/InnerProductSpace/Projection.lean | 1,059 | 1,067 | theorem norm_sq_eq_add_norm_sq_projection (x : E) (S : Submodule 𝕜 E) [HasOrthogonalProjection S] :
‖x‖ ^ 2 = ‖orthogonalProjection S x‖ ^ 2 + ‖orthogonalProjection Sᗮ x‖ ^ 2 :=
calc
‖x‖ ^ 2 = ‖(orthogonalProjection S x : E) + orthogonalProjection Sᗮ x‖ ^ 2 := by |
rw [orthogonalProjection_add_orthogonalProjection_orthogonal]
_ = ‖orthogonalProjection S x‖ ^ 2 + ‖orthogonalProjection Sᗮ x‖ ^ 2 := by
simp only [sq]
exact norm_add_sq_eq_norm_sq_add_norm_sq_of_inner_eq_zero _ _ <|
(S.mem_orthogonal _).1 (orthogonalProjection Sᗮ x).2 _ (orthogonalProjection S x).2
|
/-
Copyright (c) 2021 Rémy Degenne. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Zhouhang Zhou, Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.MeasureTheory.Function.SimpleFuncDenseLp
#align_import measure_theory.integral.set_to_l1 from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
/-!
# Extension of a linear function from indicators to L1
Let `T : Set α → E →L[ℝ] F` be additive for measurable sets with finite measure, in the sense that
for `s, t` two such sets, `s ∩ t = ∅ → T (s ∪ t) = T s + T t`. `T` is akin to a bilinear map on
`Set α × E`, or a linear map on indicator functions.
This file constructs an extension of `T` to integrable simple functions, which are finite sums of
indicators of measurable sets with finite measure, then to integrable functions, which are limits of
integrable simple functions.
The main result is a continuous linear map `(α →₁[μ] E) →L[ℝ] F`. This extension process is used to
define the Bochner integral in the `MeasureTheory.Integral.Bochner` file and the conditional
expectation of an integrable function in `MeasureTheory.Function.ConditionalExpectation`.
## Main Definitions
- `FinMeasAdditive μ T`: the property that `T` is additive on measurable sets with finite measure.
For two such sets, `s ∩ t = ∅ → T (s ∪ t) = T s + T t`.
- `DominatedFinMeasAdditive μ T C`: `FinMeasAdditive μ T ∧ ∀ s, ‖T s‖ ≤ C * (μ s).toReal`.
This is the property needed to perform the extension from indicators to L1.
- `setToL1 (hT : DominatedFinMeasAdditive μ T C) : (α →₁[μ] E) →L[ℝ] F`: the extension of `T`
from indicators to L1.
- `setToFun μ T (hT : DominatedFinMeasAdditive μ T C) (f : α → E) : F`: a version of the
extension which applies to functions (with value 0 if the function is not integrable).
## Properties
For most properties of `setToFun`, we provide two lemmas. One version uses hypotheses valid on
all sets, like `T = T'`, and a second version which uses a primed name uses hypotheses on
measurable sets with finite measure, like `∀ s, MeasurableSet s → μ s < ∞ → T s = T' s`.
The lemmas listed here don't show all hypotheses. Refer to the actual lemmas for details.
Linearity:
- `setToFun_zero_left : setToFun μ 0 hT f = 0`
- `setToFun_add_left : setToFun μ (T + T') _ f = setToFun μ T hT f + setToFun μ T' hT' f`
- `setToFun_smul_left : setToFun μ (fun s ↦ c • (T s)) (hT.smul c) f = c • setToFun μ T hT f`
- `setToFun_zero : setToFun μ T hT (0 : α → E) = 0`
- `setToFun_neg : setToFun μ T hT (-f) = - setToFun μ T hT f`
If `f` and `g` are integrable:
- `setToFun_add : setToFun μ T hT (f + g) = setToFun μ T hT f + setToFun μ T hT g`
- `setToFun_sub : setToFun μ T hT (f - g) = setToFun μ T hT f - setToFun μ T hT g`
If `T` is verifies `∀ c : 𝕜, ∀ s x, T s (c • x) = c • T s x`:
- `setToFun_smul : setToFun μ T hT (c • f) = c • setToFun μ T hT f`
Other:
- `setToFun_congr_ae (h : f =ᵐ[μ] g) : setToFun μ T hT f = setToFun μ T hT g`
- `setToFun_measure_zero (h : μ = 0) : setToFun μ T hT f = 0`
If the space is a `NormedLatticeAddCommGroup` and `T` is such that `0 ≤ T s x` for `0 ≤ x`, we
also prove order-related properties:
- `setToFun_mono_left (h : ∀ s x, T s x ≤ T' s x) : setToFun μ T hT f ≤ setToFun μ T' hT' f`
- `setToFun_nonneg (hf : 0 ≤ᵐ[μ] f) : 0 ≤ setToFun μ T hT f`
- `setToFun_mono (hfg : f ≤ᵐ[μ] g) : setToFun μ T hT f ≤ setToFun μ T hT g`
## Implementation notes
The starting object `T : Set α → E →L[ℝ] F` matters only through its restriction on measurable sets
with finite measure. Its value on other sets is ignored.
-/
noncomputable section
open scoped Classical Topology NNReal ENNReal MeasureTheory Pointwise
open Set Filter TopologicalSpace ENNReal EMetric
namespace MeasureTheory
variable {α E F F' G 𝕜 : Type*} {p : ℝ≥0∞} [NormedAddCommGroup E] [NormedSpace ℝ E]
[NormedAddCommGroup F] [NormedSpace ℝ F] [NormedAddCommGroup F'] [NormedSpace ℝ F']
[NormedAddCommGroup G] {m : MeasurableSpace α} {μ : Measure α}
local infixr:25 " →ₛ " => SimpleFunc
open Finset
section FinMeasAdditive
/-- A set function is `FinMeasAdditive` if its value on the union of two disjoint measurable
sets with finite measure is the sum of its values on each set. -/
def FinMeasAdditive {β} [AddMonoid β] {_ : MeasurableSpace α} (μ : Measure α) (T : Set α → β) :
Prop :=
∀ s t, MeasurableSet s → MeasurableSet t → μ s ≠ ∞ → μ t ≠ ∞ → s ∩ t = ∅ → T (s ∪ t) = T s + T t
#align measure_theory.fin_meas_additive MeasureTheory.FinMeasAdditive
namespace FinMeasAdditive
variable {β : Type*} [AddCommMonoid β] {T T' : Set α → β}
theorem zero : FinMeasAdditive μ (0 : Set α → β) := fun s t _ _ _ _ _ => by simp
#align measure_theory.fin_meas_additive.zero MeasureTheory.FinMeasAdditive.zero
theorem add (hT : FinMeasAdditive μ T) (hT' : FinMeasAdditive μ T') :
FinMeasAdditive μ (T + T') := by
intro s t hs ht hμs hμt hst
simp only [hT s t hs ht hμs hμt hst, hT' s t hs ht hμs hμt hst, Pi.add_apply]
abel
#align measure_theory.fin_meas_additive.add MeasureTheory.FinMeasAdditive.add
theorem smul [Monoid 𝕜] [DistribMulAction 𝕜 β] (hT : FinMeasAdditive μ T) (c : 𝕜) :
FinMeasAdditive μ fun s => c • T s := fun s t hs ht hμs hμt hst => by
simp [hT s t hs ht hμs hμt hst]
#align measure_theory.fin_meas_additive.smul MeasureTheory.FinMeasAdditive.smul
theorem of_eq_top_imp_eq_top {μ' : Measure α} (h : ∀ s, MeasurableSet s → μ s = ∞ → μ' s = ∞)
(hT : FinMeasAdditive μ T) : FinMeasAdditive μ' T := fun s t hs ht hμ's hμ't hst =>
hT s t hs ht (mt (h s hs) hμ's) (mt (h t ht) hμ't) hst
#align measure_theory.fin_meas_additive.of_eq_top_imp_eq_top MeasureTheory.FinMeasAdditive.of_eq_top_imp_eq_top
theorem of_smul_measure (c : ℝ≥0∞) (hc_ne_top : c ≠ ∞) (hT : FinMeasAdditive (c • μ) T) :
FinMeasAdditive μ T := by
refine of_eq_top_imp_eq_top (fun s _ hμs => ?_) hT
rw [Measure.smul_apply, smul_eq_mul, ENNReal.mul_eq_top] at hμs
simp only [hc_ne_top, or_false_iff, Ne, false_and_iff] at hμs
exact hμs.2
#align measure_theory.fin_meas_additive.of_smul_measure MeasureTheory.FinMeasAdditive.of_smul_measure
theorem smul_measure (c : ℝ≥0∞) (hc_ne_zero : c ≠ 0) (hT : FinMeasAdditive μ T) :
FinMeasAdditive (c • μ) T := by
refine of_eq_top_imp_eq_top (fun s _ hμs => ?_) hT
rw [Measure.smul_apply, smul_eq_mul, ENNReal.mul_eq_top]
simp only [hc_ne_zero, true_and_iff, Ne, not_false_iff]
exact Or.inl hμs
#align measure_theory.fin_meas_additive.smul_measure MeasureTheory.FinMeasAdditive.smul_measure
theorem smul_measure_iff (c : ℝ≥0∞) (hc_ne_zero : c ≠ 0) (hc_ne_top : c ≠ ∞) :
FinMeasAdditive (c • μ) T ↔ FinMeasAdditive μ T :=
⟨fun hT => of_smul_measure c hc_ne_top hT, fun hT => smul_measure c hc_ne_zero hT⟩
#align measure_theory.fin_meas_additive.smul_measure_iff MeasureTheory.FinMeasAdditive.smul_measure_iff
theorem map_empty_eq_zero {β} [AddCancelMonoid β] {T : Set α → β} (hT : FinMeasAdditive μ T) :
T ∅ = 0 := by
have h_empty : μ ∅ ≠ ∞ := (measure_empty.le.trans_lt ENNReal.coe_lt_top).ne
specialize hT ∅ ∅ MeasurableSet.empty MeasurableSet.empty h_empty h_empty (Set.inter_empty ∅)
rw [Set.union_empty] at hT
nth_rw 1 [← add_zero (T ∅)] at hT
exact (add_left_cancel hT).symm
#align measure_theory.fin_meas_additive.map_empty_eq_zero MeasureTheory.FinMeasAdditive.map_empty_eq_zero
theorem map_iUnion_fin_meas_set_eq_sum (T : Set α → β) (T_empty : T ∅ = 0)
(h_add : FinMeasAdditive μ T) {ι} (S : ι → Set α) (sι : Finset ι)
(hS_meas : ∀ i, MeasurableSet (S i)) (hSp : ∀ i ∈ sι, μ (S i) ≠ ∞)
(h_disj : ∀ᵉ (i ∈ sι) (j ∈ sι), i ≠ j → Disjoint (S i) (S j)) :
T (⋃ i ∈ sι, S i) = ∑ i ∈ sι, T (S i) := by
revert hSp h_disj
refine Finset.induction_on sι ?_ ?_
· simp only [Finset.not_mem_empty, IsEmpty.forall_iff, iUnion_false, iUnion_empty, sum_empty,
forall₂_true_iff, imp_true_iff, forall_true_left, not_false_iff, T_empty]
intro a s has h hps h_disj
rw [Finset.sum_insert has, ← h]
swap; · exact fun i hi => hps i (Finset.mem_insert_of_mem hi)
swap;
· exact fun i hi j hj hij =>
h_disj i (Finset.mem_insert_of_mem hi) j (Finset.mem_insert_of_mem hj) hij
rw [←
h_add (S a) (⋃ i ∈ s, S i) (hS_meas a) (measurableSet_biUnion _ fun i _ => hS_meas i)
(hps a (Finset.mem_insert_self a s))]
· congr; convert Finset.iSup_insert a s S
· exact
((measure_biUnion_finset_le _ _).trans_lt <|
ENNReal.sum_lt_top fun i hi => hps i <| Finset.mem_insert_of_mem hi).ne
· simp_rw [Set.inter_iUnion]
refine iUnion_eq_empty.mpr fun i => iUnion_eq_empty.mpr fun hi => ?_
rw [← Set.disjoint_iff_inter_eq_empty]
refine h_disj a (Finset.mem_insert_self a s) i (Finset.mem_insert_of_mem hi) fun hai => ?_
rw [← hai] at hi
exact has hi
#align measure_theory.fin_meas_additive.map_Union_fin_meas_set_eq_sum MeasureTheory.FinMeasAdditive.map_iUnion_fin_meas_set_eq_sum
end FinMeasAdditive
/-- A `FinMeasAdditive` set function whose norm on every set is less than the measure of the
set (up to a multiplicative constant). -/
def DominatedFinMeasAdditive {β} [SeminormedAddCommGroup β] {_ : MeasurableSpace α} (μ : Measure α)
(T : Set α → β) (C : ℝ) : Prop :=
FinMeasAdditive μ T ∧ ∀ s, MeasurableSet s → μ s < ∞ → ‖T s‖ ≤ C * (μ s).toReal
#align measure_theory.dominated_fin_meas_additive MeasureTheory.DominatedFinMeasAdditive
namespace DominatedFinMeasAdditive
variable {β : Type*} [SeminormedAddCommGroup β] {T T' : Set α → β} {C C' : ℝ}
theorem zero {m : MeasurableSpace α} (μ : Measure α) (hC : 0 ≤ C) :
DominatedFinMeasAdditive μ (0 : Set α → β) C := by
refine ⟨FinMeasAdditive.zero, fun s _ _ => ?_⟩
rw [Pi.zero_apply, norm_zero]
exact mul_nonneg hC toReal_nonneg
#align measure_theory.dominated_fin_meas_additive.zero MeasureTheory.DominatedFinMeasAdditive.zero
theorem eq_zero_of_measure_zero {β : Type*} [NormedAddCommGroup β] {T : Set α → β} {C : ℝ}
(hT : DominatedFinMeasAdditive μ T C) {s : Set α} (hs : MeasurableSet s) (hs_zero : μ s = 0) :
T s = 0 := by
refine norm_eq_zero.mp ?_
refine ((hT.2 s hs (by simp [hs_zero])).trans (le_of_eq ?_)).antisymm (norm_nonneg _)
rw [hs_zero, ENNReal.zero_toReal, mul_zero]
#align measure_theory.dominated_fin_meas_additive.eq_zero_of_measure_zero MeasureTheory.DominatedFinMeasAdditive.eq_zero_of_measure_zero
theorem eq_zero {β : Type*} [NormedAddCommGroup β] {T : Set α → β} {C : ℝ} {m : MeasurableSpace α}
(hT : DominatedFinMeasAdditive (0 : Measure α) T C) {s : Set α} (hs : MeasurableSet s) :
T s = 0 :=
eq_zero_of_measure_zero hT hs (by simp only [Measure.coe_zero, Pi.zero_apply])
#align measure_theory.dominated_fin_meas_additive.eq_zero MeasureTheory.DominatedFinMeasAdditive.eq_zero
theorem add (hT : DominatedFinMeasAdditive μ T C) (hT' : DominatedFinMeasAdditive μ T' C') :
DominatedFinMeasAdditive μ (T + T') (C + C') := by
refine ⟨hT.1.add hT'.1, fun s hs hμs => ?_⟩
rw [Pi.add_apply, add_mul]
exact (norm_add_le _ _).trans (add_le_add (hT.2 s hs hμs) (hT'.2 s hs hμs))
#align measure_theory.dominated_fin_meas_additive.add MeasureTheory.DominatedFinMeasAdditive.add
theorem smul [NormedField 𝕜] [NormedSpace 𝕜 β] (hT : DominatedFinMeasAdditive μ T C) (c : 𝕜) :
DominatedFinMeasAdditive μ (fun s => c • T s) (‖c‖ * C) := by
refine ⟨hT.1.smul c, fun s hs hμs => ?_⟩
dsimp only
rw [norm_smul, mul_assoc]
exact mul_le_mul le_rfl (hT.2 s hs hμs) (norm_nonneg _) (norm_nonneg _)
#align measure_theory.dominated_fin_meas_additive.smul MeasureTheory.DominatedFinMeasAdditive.smul
theorem of_measure_le {μ' : Measure α} (h : μ ≤ μ') (hT : DominatedFinMeasAdditive μ T C)
(hC : 0 ≤ C) : DominatedFinMeasAdditive μ' T C := by
have h' : ∀ s, μ s = ∞ → μ' s = ∞ := fun s hs ↦ top_unique <| hs.symm.trans_le (h _)
refine ⟨hT.1.of_eq_top_imp_eq_top fun s _ ↦ h' s, fun s hs hμ's ↦ ?_⟩
have hμs : μ s < ∞ := (h s).trans_lt hμ's
calc
‖T s‖ ≤ C * (μ s).toReal := hT.2 s hs hμs
_ ≤ C * (μ' s).toReal := by gcongr; exacts [hμ's.ne, h _]
#align measure_theory.dominated_fin_meas_additive.of_measure_le MeasureTheory.DominatedFinMeasAdditive.of_measure_le
theorem add_measure_right {_ : MeasurableSpace α} (μ ν : Measure α)
(hT : DominatedFinMeasAdditive μ T C) (hC : 0 ≤ C) : DominatedFinMeasAdditive (μ + ν) T C :=
of_measure_le (Measure.le_add_right le_rfl) hT hC
#align measure_theory.dominated_fin_meas_additive.add_measure_right MeasureTheory.DominatedFinMeasAdditive.add_measure_right
theorem add_measure_left {_ : MeasurableSpace α} (μ ν : Measure α)
(hT : DominatedFinMeasAdditive ν T C) (hC : 0 ≤ C) : DominatedFinMeasAdditive (μ + ν) T C :=
of_measure_le (Measure.le_add_left le_rfl) hT hC
#align measure_theory.dominated_fin_meas_additive.add_measure_left MeasureTheory.DominatedFinMeasAdditive.add_measure_left
theorem of_smul_measure (c : ℝ≥0∞) (hc_ne_top : c ≠ ∞) (hT : DominatedFinMeasAdditive (c • μ) T C) :
DominatedFinMeasAdditive μ T (c.toReal * C) := by
have h : ∀ s, MeasurableSet s → c • μ s = ∞ → μ s = ∞ := by
intro s _ hcμs
simp only [hc_ne_top, Algebra.id.smul_eq_mul, ENNReal.mul_eq_top, or_false_iff, Ne,
false_and_iff] at hcμs
exact hcμs.2
refine ⟨hT.1.of_eq_top_imp_eq_top (μ := c • μ) h, fun s hs hμs => ?_⟩
have hcμs : c • μ s ≠ ∞ := mt (h s hs) hμs.ne
rw [smul_eq_mul] at hcμs
simp_rw [DominatedFinMeasAdditive, Measure.smul_apply, smul_eq_mul, toReal_mul] at hT
refine (hT.2 s hs hcμs.lt_top).trans (le_of_eq ?_)
ring
#align measure_theory.dominated_fin_meas_additive.of_smul_measure MeasureTheory.DominatedFinMeasAdditive.of_smul_measure
theorem of_measure_le_smul {μ' : Measure α} (c : ℝ≥0∞) (hc : c ≠ ∞) (h : μ ≤ c • μ')
(hT : DominatedFinMeasAdditive μ T C) (hC : 0 ≤ C) :
DominatedFinMeasAdditive μ' T (c.toReal * C) :=
(hT.of_measure_le h hC).of_smul_measure c hc
#align measure_theory.dominated_fin_meas_additive.of_measure_le_smul MeasureTheory.DominatedFinMeasAdditive.of_measure_le_smul
end DominatedFinMeasAdditive
end FinMeasAdditive
namespace SimpleFunc
/-- Extend `Set α → (F →L[ℝ] F')` to `(α →ₛ F) → F'`. -/
def setToSimpleFunc {_ : MeasurableSpace α} (T : Set α → F →L[ℝ] F') (f : α →ₛ F) : F' :=
∑ x ∈ f.range, T (f ⁻¹' {x}) x
#align measure_theory.simple_func.set_to_simple_func MeasureTheory.SimpleFunc.setToSimpleFunc
@[simp]
theorem setToSimpleFunc_zero {m : MeasurableSpace α} (f : α →ₛ F) :
setToSimpleFunc (0 : Set α → F →L[ℝ] F') f = 0 := by simp [setToSimpleFunc]
#align measure_theory.simple_func.set_to_simple_func_zero MeasureTheory.SimpleFunc.setToSimpleFunc_zero
theorem setToSimpleFunc_zero' {T : Set α → E →L[ℝ] F'}
(h_zero : ∀ s, MeasurableSet s → μ s < ∞ → T s = 0) (f : α →ₛ E) (hf : Integrable f μ) :
setToSimpleFunc T f = 0 := by
simp_rw [setToSimpleFunc]
refine sum_eq_zero fun x _ => ?_
by_cases hx0 : x = 0
· simp [hx0]
rw [h_zero (f ⁻¹' ({x} : Set E)) (measurableSet_fiber _ _)
(measure_preimage_lt_top_of_integrable f hf hx0),
ContinuousLinearMap.zero_apply]
#align measure_theory.simple_func.set_to_simple_func_zero' MeasureTheory.SimpleFunc.setToSimpleFunc_zero'
@[simp]
theorem setToSimpleFunc_zero_apply {m : MeasurableSpace α} (T : Set α → F →L[ℝ] F') :
setToSimpleFunc T (0 : α →ₛ F) = 0 := by
cases isEmpty_or_nonempty α <;> simp [setToSimpleFunc]
#align measure_theory.simple_func.set_to_simple_func_zero_apply MeasureTheory.SimpleFunc.setToSimpleFunc_zero_apply
theorem setToSimpleFunc_eq_sum_filter {m : MeasurableSpace α} (T : Set α → F →L[ℝ] F')
(f : α →ₛ F) :
setToSimpleFunc T f = ∑ x ∈ f.range.filter fun x => x ≠ 0, (T (f ⁻¹' {x})) x := by
symm
refine sum_filter_of_ne fun x _ => mt fun hx0 => ?_
rw [hx0]
exact ContinuousLinearMap.map_zero _
#align measure_theory.simple_func.set_to_simple_func_eq_sum_filter MeasureTheory.SimpleFunc.setToSimpleFunc_eq_sum_filter
theorem map_setToSimpleFunc (T : Set α → F →L[ℝ] F') (h_add : FinMeasAdditive μ T) {f : α →ₛ G}
(hf : Integrable f μ) {g : G → F} (hg : g 0 = 0) :
(f.map g).setToSimpleFunc T = ∑ x ∈ f.range, T (f ⁻¹' {x}) (g x) := by
have T_empty : T ∅ = 0 := h_add.map_empty_eq_zero
have hfp : ∀ x ∈ f.range, x ≠ 0 → μ (f ⁻¹' {x}) ≠ ∞ := fun x _ hx0 =>
(measure_preimage_lt_top_of_integrable f hf hx0).ne
simp only [setToSimpleFunc, range_map]
refine Finset.sum_image' _ fun b hb => ?_
rcases mem_range.1 hb with ⟨a, rfl⟩
by_cases h0 : g (f a) = 0
· simp_rw [h0]
rw [ContinuousLinearMap.map_zero, Finset.sum_eq_zero fun x hx => ?_]
rw [mem_filter] at hx
rw [hx.2, ContinuousLinearMap.map_zero]
have h_left_eq :
T (map g f ⁻¹' {g (f a)}) (g (f a)) =
T (f ⁻¹' (f.range.filter fun b => g b = g (f a))) (g (f a)) := by
congr; rw [map_preimage_singleton]
rw [h_left_eq]
have h_left_eq' :
T (f ⁻¹' (filter (fun b : G => g b = g (f a)) f.range)) (g (f a)) =
T (⋃ y ∈ filter (fun b : G => g b = g (f a)) f.range, f ⁻¹' {y}) (g (f a)) := by
congr; rw [← Finset.set_biUnion_preimage_singleton]
rw [h_left_eq']
rw [h_add.map_iUnion_fin_meas_set_eq_sum T T_empty]
· simp only [sum_apply, ContinuousLinearMap.coe_sum']
refine Finset.sum_congr rfl fun x hx => ?_
rw [mem_filter] at hx
rw [hx.2]
· exact fun i => measurableSet_fiber _ _
· intro i hi
rw [mem_filter] at hi
refine hfp i hi.1 fun hi0 => ?_
rw [hi0, hg] at hi
exact h0 hi.2.symm
· intro i _j hi _ hij
rw [Set.disjoint_iff]
intro x hx
rw [Set.mem_inter_iff, Set.mem_preimage, Set.mem_preimage, Set.mem_singleton_iff,
Set.mem_singleton_iff] at hx
rw [← hx.1, ← hx.2] at hij
exact absurd rfl hij
#align measure_theory.simple_func.map_set_to_simple_func MeasureTheory.SimpleFunc.map_setToSimpleFunc
| Mathlib/MeasureTheory/Integral/SetToL1.lean | 359 | 376 | theorem setToSimpleFunc_congr' (T : Set α → E →L[ℝ] F) (h_add : FinMeasAdditive μ T) {f g : α →ₛ E}
(hf : Integrable f μ) (hg : Integrable g μ)
(h : Pairwise fun x y => T (f ⁻¹' {x} ∩ g ⁻¹' {y}) = 0) :
f.setToSimpleFunc T = g.setToSimpleFunc T :=
show ((pair f g).map Prod.fst).setToSimpleFunc T = ((pair f g).map Prod.snd).setToSimpleFunc T by
have h_pair : Integrable (f.pair g) μ := integrable_pair hf hg
rw [map_setToSimpleFunc T h_add h_pair Prod.fst_zero]
rw [map_setToSimpleFunc T h_add h_pair Prod.snd_zero]
refine Finset.sum_congr rfl fun p hp => ?_
rcases mem_range.1 hp with ⟨a, rfl⟩
by_cases eq : f a = g a
· dsimp only [pair_apply]; rw [eq]
· have : T (pair f g ⁻¹' {(f a, g a)}) = 0 := by |
have h_eq : T ((⇑(f.pair g)) ⁻¹' {(f a, g a)}) = T (f ⁻¹' {f a} ∩ g ⁻¹' {g a}) := by
congr; rw [pair_preimage_singleton f g]
rw [h_eq]
exact h eq
simp only [this, ContinuousLinearMap.zero_apply, pair_apply]
|
/-
Copyright (c) 2021 Rémy Degenne. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Zhouhang Zhou, Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.MeasureTheory.Function.SimpleFuncDenseLp
#align_import measure_theory.integral.set_to_l1 from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
/-!
# Extension of a linear function from indicators to L1
Let `T : Set α → E →L[ℝ] F` be additive for measurable sets with finite measure, in the sense that
for `s, t` two such sets, `s ∩ t = ∅ → T (s ∪ t) = T s + T t`. `T` is akin to a bilinear map on
`Set α × E`, or a linear map on indicator functions.
This file constructs an extension of `T` to integrable simple functions, which are finite sums of
indicators of measurable sets with finite measure, then to integrable functions, which are limits of
integrable simple functions.
The main result is a continuous linear map `(α →₁[μ] E) →L[ℝ] F`. This extension process is used to
define the Bochner integral in the `MeasureTheory.Integral.Bochner` file and the conditional
expectation of an integrable function in `MeasureTheory.Function.ConditionalExpectation`.
## Main Definitions
- `FinMeasAdditive μ T`: the property that `T` is additive on measurable sets with finite measure.
For two such sets, `s ∩ t = ∅ → T (s ∪ t) = T s + T t`.
- `DominatedFinMeasAdditive μ T C`: `FinMeasAdditive μ T ∧ ∀ s, ‖T s‖ ≤ C * (μ s).toReal`.
This is the property needed to perform the extension from indicators to L1.
- `setToL1 (hT : DominatedFinMeasAdditive μ T C) : (α →₁[μ] E) →L[ℝ] F`: the extension of `T`
from indicators to L1.
- `setToFun μ T (hT : DominatedFinMeasAdditive μ T C) (f : α → E) : F`: a version of the
extension which applies to functions (with value 0 if the function is not integrable).
## Properties
For most properties of `setToFun`, we provide two lemmas. One version uses hypotheses valid on
all sets, like `T = T'`, and a second version which uses a primed name uses hypotheses on
measurable sets with finite measure, like `∀ s, MeasurableSet s → μ s < ∞ → T s = T' s`.
The lemmas listed here don't show all hypotheses. Refer to the actual lemmas for details.
Linearity:
- `setToFun_zero_left : setToFun μ 0 hT f = 0`
- `setToFun_add_left : setToFun μ (T + T') _ f = setToFun μ T hT f + setToFun μ T' hT' f`
- `setToFun_smul_left : setToFun μ (fun s ↦ c • (T s)) (hT.smul c) f = c • setToFun μ T hT f`
- `setToFun_zero : setToFun μ T hT (0 : α → E) = 0`
- `setToFun_neg : setToFun μ T hT (-f) = - setToFun μ T hT f`
If `f` and `g` are integrable:
- `setToFun_add : setToFun μ T hT (f + g) = setToFun μ T hT f + setToFun μ T hT g`
- `setToFun_sub : setToFun μ T hT (f - g) = setToFun μ T hT f - setToFun μ T hT g`
If `T` is verifies `∀ c : 𝕜, ∀ s x, T s (c • x) = c • T s x`:
- `setToFun_smul : setToFun μ T hT (c • f) = c • setToFun μ T hT f`
Other:
- `setToFun_congr_ae (h : f =ᵐ[μ] g) : setToFun μ T hT f = setToFun μ T hT g`
- `setToFun_measure_zero (h : μ = 0) : setToFun μ T hT f = 0`
If the space is a `NormedLatticeAddCommGroup` and `T` is such that `0 ≤ T s x` for `0 ≤ x`, we
also prove order-related properties:
- `setToFun_mono_left (h : ∀ s x, T s x ≤ T' s x) : setToFun μ T hT f ≤ setToFun μ T' hT' f`
- `setToFun_nonneg (hf : 0 ≤ᵐ[μ] f) : 0 ≤ setToFun μ T hT f`
- `setToFun_mono (hfg : f ≤ᵐ[μ] g) : setToFun μ T hT f ≤ setToFun μ T hT g`
## Implementation notes
The starting object `T : Set α → E →L[ℝ] F` matters only through its restriction on measurable sets
with finite measure. Its value on other sets is ignored.
-/
noncomputable section
open scoped Classical Topology NNReal ENNReal MeasureTheory Pointwise
open Set Filter TopologicalSpace ENNReal EMetric
namespace MeasureTheory
variable {α E F F' G 𝕜 : Type*} {p : ℝ≥0∞} [NormedAddCommGroup E] [NormedSpace ℝ E]
[NormedAddCommGroup F] [NormedSpace ℝ F] [NormedAddCommGroup F'] [NormedSpace ℝ F']
[NormedAddCommGroup G] {m : MeasurableSpace α} {μ : Measure α}
local infixr:25 " →ₛ " => SimpleFunc
open Finset
section FinMeasAdditive
/-- A set function is `FinMeasAdditive` if its value on the union of two disjoint measurable
sets with finite measure is the sum of its values on each set. -/
def FinMeasAdditive {β} [AddMonoid β] {_ : MeasurableSpace α} (μ : Measure α) (T : Set α → β) :
Prop :=
∀ s t, MeasurableSet s → MeasurableSet t → μ s ≠ ∞ → μ t ≠ ∞ → s ∩ t = ∅ → T (s ∪ t) = T s + T t
#align measure_theory.fin_meas_additive MeasureTheory.FinMeasAdditive
namespace FinMeasAdditive
variable {β : Type*} [AddCommMonoid β] {T T' : Set α → β}
theorem zero : FinMeasAdditive μ (0 : Set α → β) := fun s t _ _ _ _ _ => by simp
#align measure_theory.fin_meas_additive.zero MeasureTheory.FinMeasAdditive.zero
theorem add (hT : FinMeasAdditive μ T) (hT' : FinMeasAdditive μ T') :
FinMeasAdditive μ (T + T') := by
intro s t hs ht hμs hμt hst
simp only [hT s t hs ht hμs hμt hst, hT' s t hs ht hμs hμt hst, Pi.add_apply]
abel
#align measure_theory.fin_meas_additive.add MeasureTheory.FinMeasAdditive.add
theorem smul [Monoid 𝕜] [DistribMulAction 𝕜 β] (hT : FinMeasAdditive μ T) (c : 𝕜) :
FinMeasAdditive μ fun s => c • T s := fun s t hs ht hμs hμt hst => by
simp [hT s t hs ht hμs hμt hst]
#align measure_theory.fin_meas_additive.smul MeasureTheory.FinMeasAdditive.smul
theorem of_eq_top_imp_eq_top {μ' : Measure α} (h : ∀ s, MeasurableSet s → μ s = ∞ → μ' s = ∞)
(hT : FinMeasAdditive μ T) : FinMeasAdditive μ' T := fun s t hs ht hμ's hμ't hst =>
hT s t hs ht (mt (h s hs) hμ's) (mt (h t ht) hμ't) hst
#align measure_theory.fin_meas_additive.of_eq_top_imp_eq_top MeasureTheory.FinMeasAdditive.of_eq_top_imp_eq_top
theorem of_smul_measure (c : ℝ≥0∞) (hc_ne_top : c ≠ ∞) (hT : FinMeasAdditive (c • μ) T) :
FinMeasAdditive μ T := by
refine of_eq_top_imp_eq_top (fun s _ hμs => ?_) hT
rw [Measure.smul_apply, smul_eq_mul, ENNReal.mul_eq_top] at hμs
simp only [hc_ne_top, or_false_iff, Ne, false_and_iff] at hμs
exact hμs.2
#align measure_theory.fin_meas_additive.of_smul_measure MeasureTheory.FinMeasAdditive.of_smul_measure
theorem smul_measure (c : ℝ≥0∞) (hc_ne_zero : c ≠ 0) (hT : FinMeasAdditive μ T) :
FinMeasAdditive (c • μ) T := by
refine of_eq_top_imp_eq_top (fun s _ hμs => ?_) hT
rw [Measure.smul_apply, smul_eq_mul, ENNReal.mul_eq_top]
simp only [hc_ne_zero, true_and_iff, Ne, not_false_iff]
exact Or.inl hμs
#align measure_theory.fin_meas_additive.smul_measure MeasureTheory.FinMeasAdditive.smul_measure
theorem smul_measure_iff (c : ℝ≥0∞) (hc_ne_zero : c ≠ 0) (hc_ne_top : c ≠ ∞) :
FinMeasAdditive (c • μ) T ↔ FinMeasAdditive μ T :=
⟨fun hT => of_smul_measure c hc_ne_top hT, fun hT => smul_measure c hc_ne_zero hT⟩
#align measure_theory.fin_meas_additive.smul_measure_iff MeasureTheory.FinMeasAdditive.smul_measure_iff
theorem map_empty_eq_zero {β} [AddCancelMonoid β] {T : Set α → β} (hT : FinMeasAdditive μ T) :
T ∅ = 0 := by
have h_empty : μ ∅ ≠ ∞ := (measure_empty.le.trans_lt ENNReal.coe_lt_top).ne
specialize hT ∅ ∅ MeasurableSet.empty MeasurableSet.empty h_empty h_empty (Set.inter_empty ∅)
rw [Set.union_empty] at hT
nth_rw 1 [← add_zero (T ∅)] at hT
exact (add_left_cancel hT).symm
#align measure_theory.fin_meas_additive.map_empty_eq_zero MeasureTheory.FinMeasAdditive.map_empty_eq_zero
theorem map_iUnion_fin_meas_set_eq_sum (T : Set α → β) (T_empty : T ∅ = 0)
(h_add : FinMeasAdditive μ T) {ι} (S : ι → Set α) (sι : Finset ι)
(hS_meas : ∀ i, MeasurableSet (S i)) (hSp : ∀ i ∈ sι, μ (S i) ≠ ∞)
(h_disj : ∀ᵉ (i ∈ sι) (j ∈ sι), i ≠ j → Disjoint (S i) (S j)) :
T (⋃ i ∈ sι, S i) = ∑ i ∈ sι, T (S i) := by
revert hSp h_disj
refine Finset.induction_on sι ?_ ?_
· simp only [Finset.not_mem_empty, IsEmpty.forall_iff, iUnion_false, iUnion_empty, sum_empty,
forall₂_true_iff, imp_true_iff, forall_true_left, not_false_iff, T_empty]
intro a s has h hps h_disj
rw [Finset.sum_insert has, ← h]
swap; · exact fun i hi => hps i (Finset.mem_insert_of_mem hi)
swap;
· exact fun i hi j hj hij =>
h_disj i (Finset.mem_insert_of_mem hi) j (Finset.mem_insert_of_mem hj) hij
rw [←
h_add (S a) (⋃ i ∈ s, S i) (hS_meas a) (measurableSet_biUnion _ fun i _ => hS_meas i)
(hps a (Finset.mem_insert_self a s))]
· congr; convert Finset.iSup_insert a s S
· exact
((measure_biUnion_finset_le _ _).trans_lt <|
ENNReal.sum_lt_top fun i hi => hps i <| Finset.mem_insert_of_mem hi).ne
· simp_rw [Set.inter_iUnion]
refine iUnion_eq_empty.mpr fun i => iUnion_eq_empty.mpr fun hi => ?_
rw [← Set.disjoint_iff_inter_eq_empty]
refine h_disj a (Finset.mem_insert_self a s) i (Finset.mem_insert_of_mem hi) fun hai => ?_
rw [← hai] at hi
exact has hi
#align measure_theory.fin_meas_additive.map_Union_fin_meas_set_eq_sum MeasureTheory.FinMeasAdditive.map_iUnion_fin_meas_set_eq_sum
end FinMeasAdditive
/-- A `FinMeasAdditive` set function whose norm on every set is less than the measure of the
set (up to a multiplicative constant). -/
def DominatedFinMeasAdditive {β} [SeminormedAddCommGroup β] {_ : MeasurableSpace α} (μ : Measure α)
(T : Set α → β) (C : ℝ) : Prop :=
FinMeasAdditive μ T ∧ ∀ s, MeasurableSet s → μ s < ∞ → ‖T s‖ ≤ C * (μ s).toReal
#align measure_theory.dominated_fin_meas_additive MeasureTheory.DominatedFinMeasAdditive
namespace DominatedFinMeasAdditive
variable {β : Type*} [SeminormedAddCommGroup β] {T T' : Set α → β} {C C' : ℝ}
theorem zero {m : MeasurableSpace α} (μ : Measure α) (hC : 0 ≤ C) :
DominatedFinMeasAdditive μ (0 : Set α → β) C := by
refine ⟨FinMeasAdditive.zero, fun s _ _ => ?_⟩
rw [Pi.zero_apply, norm_zero]
exact mul_nonneg hC toReal_nonneg
#align measure_theory.dominated_fin_meas_additive.zero MeasureTheory.DominatedFinMeasAdditive.zero
theorem eq_zero_of_measure_zero {β : Type*} [NormedAddCommGroup β] {T : Set α → β} {C : ℝ}
(hT : DominatedFinMeasAdditive μ T C) {s : Set α} (hs : MeasurableSet s) (hs_zero : μ s = 0) :
T s = 0 := by
refine norm_eq_zero.mp ?_
refine ((hT.2 s hs (by simp [hs_zero])).trans (le_of_eq ?_)).antisymm (norm_nonneg _)
rw [hs_zero, ENNReal.zero_toReal, mul_zero]
#align measure_theory.dominated_fin_meas_additive.eq_zero_of_measure_zero MeasureTheory.DominatedFinMeasAdditive.eq_zero_of_measure_zero
theorem eq_zero {β : Type*} [NormedAddCommGroup β] {T : Set α → β} {C : ℝ} {m : MeasurableSpace α}
(hT : DominatedFinMeasAdditive (0 : Measure α) T C) {s : Set α} (hs : MeasurableSet s) :
T s = 0 :=
eq_zero_of_measure_zero hT hs (by simp only [Measure.coe_zero, Pi.zero_apply])
#align measure_theory.dominated_fin_meas_additive.eq_zero MeasureTheory.DominatedFinMeasAdditive.eq_zero
theorem add (hT : DominatedFinMeasAdditive μ T C) (hT' : DominatedFinMeasAdditive μ T' C') :
DominatedFinMeasAdditive μ (T + T') (C + C') := by
refine ⟨hT.1.add hT'.1, fun s hs hμs => ?_⟩
rw [Pi.add_apply, add_mul]
exact (norm_add_le _ _).trans (add_le_add (hT.2 s hs hμs) (hT'.2 s hs hμs))
#align measure_theory.dominated_fin_meas_additive.add MeasureTheory.DominatedFinMeasAdditive.add
theorem smul [NormedField 𝕜] [NormedSpace 𝕜 β] (hT : DominatedFinMeasAdditive μ T C) (c : 𝕜) :
DominatedFinMeasAdditive μ (fun s => c • T s) (‖c‖ * C) := by
refine ⟨hT.1.smul c, fun s hs hμs => ?_⟩
dsimp only
rw [norm_smul, mul_assoc]
exact mul_le_mul le_rfl (hT.2 s hs hμs) (norm_nonneg _) (norm_nonneg _)
#align measure_theory.dominated_fin_meas_additive.smul MeasureTheory.DominatedFinMeasAdditive.smul
theorem of_measure_le {μ' : Measure α} (h : μ ≤ μ') (hT : DominatedFinMeasAdditive μ T C)
(hC : 0 ≤ C) : DominatedFinMeasAdditive μ' T C := by
have h' : ∀ s, μ s = ∞ → μ' s = ∞ := fun s hs ↦ top_unique <| hs.symm.trans_le (h _)
refine ⟨hT.1.of_eq_top_imp_eq_top fun s _ ↦ h' s, fun s hs hμ's ↦ ?_⟩
have hμs : μ s < ∞ := (h s).trans_lt hμ's
calc
‖T s‖ ≤ C * (μ s).toReal := hT.2 s hs hμs
_ ≤ C * (μ' s).toReal := by gcongr; exacts [hμ's.ne, h _]
#align measure_theory.dominated_fin_meas_additive.of_measure_le MeasureTheory.DominatedFinMeasAdditive.of_measure_le
theorem add_measure_right {_ : MeasurableSpace α} (μ ν : Measure α)
(hT : DominatedFinMeasAdditive μ T C) (hC : 0 ≤ C) : DominatedFinMeasAdditive (μ + ν) T C :=
of_measure_le (Measure.le_add_right le_rfl) hT hC
#align measure_theory.dominated_fin_meas_additive.add_measure_right MeasureTheory.DominatedFinMeasAdditive.add_measure_right
theorem add_measure_left {_ : MeasurableSpace α} (μ ν : Measure α)
(hT : DominatedFinMeasAdditive ν T C) (hC : 0 ≤ C) : DominatedFinMeasAdditive (μ + ν) T C :=
of_measure_le (Measure.le_add_left le_rfl) hT hC
#align measure_theory.dominated_fin_meas_additive.add_measure_left MeasureTheory.DominatedFinMeasAdditive.add_measure_left
theorem of_smul_measure (c : ℝ≥0∞) (hc_ne_top : c ≠ ∞) (hT : DominatedFinMeasAdditive (c • μ) T C) :
DominatedFinMeasAdditive μ T (c.toReal * C) := by
have h : ∀ s, MeasurableSet s → c • μ s = ∞ → μ s = ∞ := by
intro s _ hcμs
simp only [hc_ne_top, Algebra.id.smul_eq_mul, ENNReal.mul_eq_top, or_false_iff, Ne,
false_and_iff] at hcμs
exact hcμs.2
refine ⟨hT.1.of_eq_top_imp_eq_top (μ := c • μ) h, fun s hs hμs => ?_⟩
have hcμs : c • μ s ≠ ∞ := mt (h s hs) hμs.ne
rw [smul_eq_mul] at hcμs
simp_rw [DominatedFinMeasAdditive, Measure.smul_apply, smul_eq_mul, toReal_mul] at hT
refine (hT.2 s hs hcμs.lt_top).trans (le_of_eq ?_)
ring
#align measure_theory.dominated_fin_meas_additive.of_smul_measure MeasureTheory.DominatedFinMeasAdditive.of_smul_measure
theorem of_measure_le_smul {μ' : Measure α} (c : ℝ≥0∞) (hc : c ≠ ∞) (h : μ ≤ c • μ')
(hT : DominatedFinMeasAdditive μ T C) (hC : 0 ≤ C) :
DominatedFinMeasAdditive μ' T (c.toReal * C) :=
(hT.of_measure_le h hC).of_smul_measure c hc
#align measure_theory.dominated_fin_meas_additive.of_measure_le_smul MeasureTheory.DominatedFinMeasAdditive.of_measure_le_smul
end DominatedFinMeasAdditive
end FinMeasAdditive
namespace SimpleFunc
/-- Extend `Set α → (F →L[ℝ] F')` to `(α →ₛ F) → F'`. -/
def setToSimpleFunc {_ : MeasurableSpace α} (T : Set α → F →L[ℝ] F') (f : α →ₛ F) : F' :=
∑ x ∈ f.range, T (f ⁻¹' {x}) x
#align measure_theory.simple_func.set_to_simple_func MeasureTheory.SimpleFunc.setToSimpleFunc
@[simp]
theorem setToSimpleFunc_zero {m : MeasurableSpace α} (f : α →ₛ F) :
setToSimpleFunc (0 : Set α → F →L[ℝ] F') f = 0 := by simp [setToSimpleFunc]
#align measure_theory.simple_func.set_to_simple_func_zero MeasureTheory.SimpleFunc.setToSimpleFunc_zero
theorem setToSimpleFunc_zero' {T : Set α → E →L[ℝ] F'}
(h_zero : ∀ s, MeasurableSet s → μ s < ∞ → T s = 0) (f : α →ₛ E) (hf : Integrable f μ) :
setToSimpleFunc T f = 0 := by
simp_rw [setToSimpleFunc]
refine sum_eq_zero fun x _ => ?_
by_cases hx0 : x = 0
· simp [hx0]
rw [h_zero (f ⁻¹' ({x} : Set E)) (measurableSet_fiber _ _)
(measure_preimage_lt_top_of_integrable f hf hx0),
ContinuousLinearMap.zero_apply]
#align measure_theory.simple_func.set_to_simple_func_zero' MeasureTheory.SimpleFunc.setToSimpleFunc_zero'
@[simp]
theorem setToSimpleFunc_zero_apply {m : MeasurableSpace α} (T : Set α → F →L[ℝ] F') :
setToSimpleFunc T (0 : α →ₛ F) = 0 := by
cases isEmpty_or_nonempty α <;> simp [setToSimpleFunc]
#align measure_theory.simple_func.set_to_simple_func_zero_apply MeasureTheory.SimpleFunc.setToSimpleFunc_zero_apply
theorem setToSimpleFunc_eq_sum_filter {m : MeasurableSpace α} (T : Set α → F →L[ℝ] F')
(f : α →ₛ F) :
setToSimpleFunc T f = ∑ x ∈ f.range.filter fun x => x ≠ 0, (T (f ⁻¹' {x})) x := by
symm
refine sum_filter_of_ne fun x _ => mt fun hx0 => ?_
rw [hx0]
exact ContinuousLinearMap.map_zero _
#align measure_theory.simple_func.set_to_simple_func_eq_sum_filter MeasureTheory.SimpleFunc.setToSimpleFunc_eq_sum_filter
theorem map_setToSimpleFunc (T : Set α → F →L[ℝ] F') (h_add : FinMeasAdditive μ T) {f : α →ₛ G}
(hf : Integrable f μ) {g : G → F} (hg : g 0 = 0) :
(f.map g).setToSimpleFunc T = ∑ x ∈ f.range, T (f ⁻¹' {x}) (g x) := by
have T_empty : T ∅ = 0 := h_add.map_empty_eq_zero
have hfp : ∀ x ∈ f.range, x ≠ 0 → μ (f ⁻¹' {x}) ≠ ∞ := fun x _ hx0 =>
(measure_preimage_lt_top_of_integrable f hf hx0).ne
simp only [setToSimpleFunc, range_map]
refine Finset.sum_image' _ fun b hb => ?_
rcases mem_range.1 hb with ⟨a, rfl⟩
by_cases h0 : g (f a) = 0
· simp_rw [h0]
rw [ContinuousLinearMap.map_zero, Finset.sum_eq_zero fun x hx => ?_]
rw [mem_filter] at hx
rw [hx.2, ContinuousLinearMap.map_zero]
have h_left_eq :
T (map g f ⁻¹' {g (f a)}) (g (f a)) =
T (f ⁻¹' (f.range.filter fun b => g b = g (f a))) (g (f a)) := by
congr; rw [map_preimage_singleton]
rw [h_left_eq]
have h_left_eq' :
T (f ⁻¹' (filter (fun b : G => g b = g (f a)) f.range)) (g (f a)) =
T (⋃ y ∈ filter (fun b : G => g b = g (f a)) f.range, f ⁻¹' {y}) (g (f a)) := by
congr; rw [← Finset.set_biUnion_preimage_singleton]
rw [h_left_eq']
rw [h_add.map_iUnion_fin_meas_set_eq_sum T T_empty]
· simp only [sum_apply, ContinuousLinearMap.coe_sum']
refine Finset.sum_congr rfl fun x hx => ?_
rw [mem_filter] at hx
rw [hx.2]
· exact fun i => measurableSet_fiber _ _
· intro i hi
rw [mem_filter] at hi
refine hfp i hi.1 fun hi0 => ?_
rw [hi0, hg] at hi
exact h0 hi.2.symm
· intro i _j hi _ hij
rw [Set.disjoint_iff]
intro x hx
rw [Set.mem_inter_iff, Set.mem_preimage, Set.mem_preimage, Set.mem_singleton_iff,
Set.mem_singleton_iff] at hx
rw [← hx.1, ← hx.2] at hij
exact absurd rfl hij
#align measure_theory.simple_func.map_set_to_simple_func MeasureTheory.SimpleFunc.map_setToSimpleFunc
theorem setToSimpleFunc_congr' (T : Set α → E →L[ℝ] F) (h_add : FinMeasAdditive μ T) {f g : α →ₛ E}
(hf : Integrable f μ) (hg : Integrable g μ)
(h : Pairwise fun x y => T (f ⁻¹' {x} ∩ g ⁻¹' {y}) = 0) :
f.setToSimpleFunc T = g.setToSimpleFunc T :=
show ((pair f g).map Prod.fst).setToSimpleFunc T = ((pair f g).map Prod.snd).setToSimpleFunc T by
have h_pair : Integrable (f.pair g) μ := integrable_pair hf hg
rw [map_setToSimpleFunc T h_add h_pair Prod.fst_zero]
rw [map_setToSimpleFunc T h_add h_pair Prod.snd_zero]
refine Finset.sum_congr rfl fun p hp => ?_
rcases mem_range.1 hp with ⟨a, rfl⟩
by_cases eq : f a = g a
· dsimp only [pair_apply]; rw [eq]
· have : T (pair f g ⁻¹' {(f a, g a)}) = 0 := by
have h_eq : T ((⇑(f.pair g)) ⁻¹' {(f a, g a)}) = T (f ⁻¹' {f a} ∩ g ⁻¹' {g a}) := by
congr; rw [pair_preimage_singleton f g]
rw [h_eq]
exact h eq
simp only [this, ContinuousLinearMap.zero_apply, pair_apply]
#align measure_theory.simple_func.set_to_simple_func_congr' MeasureTheory.SimpleFunc.setToSimpleFunc_congr'
theorem setToSimpleFunc_congr (T : Set α → E →L[ℝ] F)
(h_zero : ∀ s, MeasurableSet s → μ s = 0 → T s = 0) (h_add : FinMeasAdditive μ T) {f g : α →ₛ E}
(hf : Integrable f μ) (h : f =ᵐ[μ] g) : f.setToSimpleFunc T = g.setToSimpleFunc T := by
refine setToSimpleFunc_congr' T h_add hf ((integrable_congr h).mp hf) ?_
refine fun x y hxy => h_zero _ ((measurableSet_fiber f x).inter (measurableSet_fiber g y)) ?_
rw [EventuallyEq, ae_iff] at h
refine measure_mono_null (fun z => ?_) h
simp_rw [Set.mem_inter_iff, Set.mem_setOf_eq, Set.mem_preimage, Set.mem_singleton_iff]
intro h
rwa [h.1, h.2]
#align measure_theory.simple_func.set_to_simple_func_congr MeasureTheory.SimpleFunc.setToSimpleFunc_congr
| Mathlib/MeasureTheory/Integral/SetToL1.lean | 391 | 399 | theorem setToSimpleFunc_congr_left (T T' : Set α → E →L[ℝ] F)
(h : ∀ s, MeasurableSet s → μ s < ∞ → T s = T' s) (f : α →ₛ E) (hf : Integrable f μ) :
setToSimpleFunc T f = setToSimpleFunc T' f := by |
simp_rw [setToSimpleFunc]
refine sum_congr rfl fun x _ => ?_
by_cases hx0 : x = 0
· simp [hx0]
· rw [h (f ⁻¹' {x}) (SimpleFunc.measurableSet_fiber _ _)
(SimpleFunc.measure_preimage_lt_top_of_integrable _ hf hx0)]
|
/-
Copyright (c) 2020 Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sébastien Gouëzel, Floris van Doorn
-/
import Mathlib.Geometry.Manifold.MFDeriv.FDeriv
/-!
# Differentiability of specific functions
In this file, we establish differentiability results for
- continuous linear maps and continuous linear equivalences
- the identity
- constant functions
- products
- arithmetic operations (such as addition and scalar multiplication).
-/
noncomputable section
open scoped Manifold
open Bundle Set Topology
section SpecificFunctions
/-! ### Differentiability of specific functions -/
variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*} [NormedAddCommGroup E]
[NormedSpace 𝕜 E] {H : Type*} [TopologicalSpace H] (I : ModelWithCorners 𝕜 E H) {M : Type*}
[TopologicalSpace M] [ChartedSpace H M] [SmoothManifoldWithCorners I M] {E' : Type*}
[NormedAddCommGroup E'] [NormedSpace 𝕜 E'] {H' : Type*} [TopologicalSpace H']
(I' : ModelWithCorners 𝕜 E' H') {M' : Type*} [TopologicalSpace M'] [ChartedSpace H' M']
[SmoothManifoldWithCorners I' M'] {E'' : Type*} [NormedAddCommGroup E''] [NormedSpace 𝕜 E'']
{H'' : Type*} [TopologicalSpace H''] (I'' : ModelWithCorners 𝕜 E'' H'') {M'' : Type*}
[TopologicalSpace M''] [ChartedSpace H'' M''] [SmoothManifoldWithCorners I'' M'']
namespace ContinuousLinearMap
variable (f : E →L[𝕜] E') {s : Set E} {x : E}
protected theorem hasMFDerivWithinAt : HasMFDerivWithinAt 𝓘(𝕜, E) 𝓘(𝕜, E') f s x f :=
f.hasFDerivWithinAt.hasMFDerivWithinAt
#align continuous_linear_map.has_mfderiv_within_at ContinuousLinearMap.hasMFDerivWithinAt
protected theorem hasMFDerivAt : HasMFDerivAt 𝓘(𝕜, E) 𝓘(𝕜, E') f x f :=
f.hasFDerivAt.hasMFDerivAt
#align continuous_linear_map.has_mfderiv_at ContinuousLinearMap.hasMFDerivAt
protected theorem mdifferentiableWithinAt : MDifferentiableWithinAt 𝓘(𝕜, E) 𝓘(𝕜, E') f s x :=
f.differentiableWithinAt.mdifferentiableWithinAt
#align continuous_linear_map.mdifferentiable_within_at ContinuousLinearMap.mdifferentiableWithinAt
protected theorem mdifferentiableOn : MDifferentiableOn 𝓘(𝕜, E) 𝓘(𝕜, E') f s :=
f.differentiableOn.mdifferentiableOn
#align continuous_linear_map.mdifferentiable_on ContinuousLinearMap.mdifferentiableOn
protected theorem mdifferentiableAt : MDifferentiableAt 𝓘(𝕜, E) 𝓘(𝕜, E') f x :=
f.differentiableAt.mdifferentiableAt
#align continuous_linear_map.mdifferentiable_at ContinuousLinearMap.mdifferentiableAt
protected theorem mdifferentiable : MDifferentiable 𝓘(𝕜, E) 𝓘(𝕜, E') f :=
f.differentiable.mdifferentiable
#align continuous_linear_map.mdifferentiable ContinuousLinearMap.mdifferentiable
theorem mfderiv_eq : mfderiv 𝓘(𝕜, E) 𝓘(𝕜, E') f x = f :=
f.hasMFDerivAt.mfderiv
#align continuous_linear_map.mfderiv_eq ContinuousLinearMap.mfderiv_eq
theorem mfderivWithin_eq (hs : UniqueMDiffWithinAt 𝓘(𝕜, E) s x) :
mfderivWithin 𝓘(𝕜, E) 𝓘(𝕜, E') f s x = f :=
f.hasMFDerivWithinAt.mfderivWithin hs
#align continuous_linear_map.mfderiv_within_eq ContinuousLinearMap.mfderivWithin_eq
end ContinuousLinearMap
namespace ContinuousLinearEquiv
variable (f : E ≃L[𝕜] E') {s : Set E} {x : E}
protected theorem hasMFDerivWithinAt : HasMFDerivWithinAt 𝓘(𝕜, E) 𝓘(𝕜, E') f s x (f : E →L[𝕜] E') :=
f.hasFDerivWithinAt.hasMFDerivWithinAt
#align continuous_linear_equiv.has_mfderiv_within_at ContinuousLinearEquiv.hasMFDerivWithinAt
protected theorem hasMFDerivAt : HasMFDerivAt 𝓘(𝕜, E) 𝓘(𝕜, E') f x (f : E →L[𝕜] E') :=
f.hasFDerivAt.hasMFDerivAt
#align continuous_linear_equiv.has_mfderiv_at ContinuousLinearEquiv.hasMFDerivAt
protected theorem mdifferentiableWithinAt : MDifferentiableWithinAt 𝓘(𝕜, E) 𝓘(𝕜, E') f s x :=
f.differentiableWithinAt.mdifferentiableWithinAt
#align continuous_linear_equiv.mdifferentiable_within_at ContinuousLinearEquiv.mdifferentiableWithinAt
protected theorem mdifferentiableOn : MDifferentiableOn 𝓘(𝕜, E) 𝓘(𝕜, E') f s :=
f.differentiableOn.mdifferentiableOn
#align continuous_linear_equiv.mdifferentiable_on ContinuousLinearEquiv.mdifferentiableOn
protected theorem mdifferentiableAt : MDifferentiableAt 𝓘(𝕜, E) 𝓘(𝕜, E') f x :=
f.differentiableAt.mdifferentiableAt
#align continuous_linear_equiv.mdifferentiable_at ContinuousLinearEquiv.mdifferentiableAt
protected theorem mdifferentiable : MDifferentiable 𝓘(𝕜, E) 𝓘(𝕜, E') f :=
f.differentiable.mdifferentiable
#align continuous_linear_equiv.mdifferentiable ContinuousLinearEquiv.mdifferentiable
theorem mfderiv_eq : mfderiv 𝓘(𝕜, E) 𝓘(𝕜, E') f x = (f : E →L[𝕜] E') :=
f.hasMFDerivAt.mfderiv
#align continuous_linear_equiv.mfderiv_eq ContinuousLinearEquiv.mfderiv_eq
theorem mfderivWithin_eq (hs : UniqueMDiffWithinAt 𝓘(𝕜, E) s x) :
mfderivWithin 𝓘(𝕜, E) 𝓘(𝕜, E') f s x = (f : E →L[𝕜] E') :=
f.hasMFDerivWithinAt.mfderivWithin hs
#align continuous_linear_equiv.mfderiv_within_eq ContinuousLinearEquiv.mfderivWithin_eq
end ContinuousLinearEquiv
variable {s : Set M} {x : M}
section id
/-! #### Identity -/
theorem hasMFDerivAt_id (x : M) :
HasMFDerivAt I I (@id M) x (ContinuousLinearMap.id 𝕜 (TangentSpace I x)) := by
refine ⟨continuousAt_id, ?_⟩
have : ∀ᶠ y in 𝓝[range I] (extChartAt I x) x, (extChartAt I x ∘ (extChartAt I x).symm) y = y := by
apply Filter.mem_of_superset (extChartAt_target_mem_nhdsWithin I x)
mfld_set_tac
apply HasFDerivWithinAt.congr_of_eventuallyEq (hasFDerivWithinAt_id _ _) this
simp only [mfld_simps]
#align has_mfderiv_at_id hasMFDerivAt_id
theorem hasMFDerivWithinAt_id (s : Set M) (x : M) :
HasMFDerivWithinAt I I (@id M) s x (ContinuousLinearMap.id 𝕜 (TangentSpace I x)) :=
(hasMFDerivAt_id I x).hasMFDerivWithinAt
#align has_mfderiv_within_at_id hasMFDerivWithinAt_id
theorem mdifferentiableAt_id : MDifferentiableAt I I (@id M) x :=
(hasMFDerivAt_id I x).mdifferentiableAt
#align mdifferentiable_at_id mdifferentiableAt_id
theorem mdifferentiableWithinAt_id : MDifferentiableWithinAt I I (@id M) s x :=
(mdifferentiableAt_id I).mdifferentiableWithinAt
#align mdifferentiable_within_at_id mdifferentiableWithinAt_id
theorem mdifferentiable_id : MDifferentiable I I (@id M) := fun _ => mdifferentiableAt_id I
#align mdifferentiable_id mdifferentiable_id
theorem mdifferentiableOn_id : MDifferentiableOn I I (@id M) s :=
(mdifferentiable_id I).mdifferentiableOn
#align mdifferentiable_on_id mdifferentiableOn_id
@[simp, mfld_simps]
theorem mfderiv_id : mfderiv I I (@id M) x = ContinuousLinearMap.id 𝕜 (TangentSpace I x) :=
HasMFDerivAt.mfderiv (hasMFDerivAt_id I x)
#align mfderiv_id mfderiv_id
theorem mfderivWithin_id (hxs : UniqueMDiffWithinAt I s x) :
mfderivWithin I I (@id M) s x = ContinuousLinearMap.id 𝕜 (TangentSpace I x) := by
rw [MDifferentiable.mfderivWithin (mdifferentiableAt_id I) hxs]
exact mfderiv_id I
#align mfderiv_within_id mfderivWithin_id
@[simp, mfld_simps]
theorem tangentMap_id : tangentMap I I (id : M → M) = id := by ext1 ⟨x, v⟩; simp [tangentMap]
#align tangent_map_id tangentMap_id
theorem tangentMapWithin_id {p : TangentBundle I M} (hs : UniqueMDiffWithinAt I s p.proj) :
tangentMapWithin I I (id : M → M) s p = p := by
simp only [tangentMapWithin, id]
rw [mfderivWithin_id]
· rcases p with ⟨⟩; rfl
· exact hs
#align tangent_map_within_id tangentMapWithin_id
end id
section Const
/-! #### Constants -/
variable {c : M'}
theorem hasMFDerivAt_const (c : M') (x : M) :
HasMFDerivAt I I' (fun _ : M => c) x (0 : TangentSpace I x →L[𝕜] TangentSpace I' c) := by
refine ⟨continuous_const.continuousAt, ?_⟩
simp only [writtenInExtChartAt, (· ∘ ·), hasFDerivWithinAt_const]
#align has_mfderiv_at_const hasMFDerivAt_const
theorem hasMFDerivWithinAt_const (c : M') (s : Set M) (x : M) :
HasMFDerivWithinAt I I' (fun _ : M => c) s x (0 : TangentSpace I x →L[𝕜] TangentSpace I' c) :=
(hasMFDerivAt_const I I' c x).hasMFDerivWithinAt
#align has_mfderiv_within_at_const hasMFDerivWithinAt_const
theorem mdifferentiableAt_const : MDifferentiableAt I I' (fun _ : M => c) x :=
(hasMFDerivAt_const I I' c x).mdifferentiableAt
#align mdifferentiable_at_const mdifferentiableAt_const
theorem mdifferentiableWithinAt_const : MDifferentiableWithinAt I I' (fun _ : M => c) s x :=
(mdifferentiableAt_const I I').mdifferentiableWithinAt
#align mdifferentiable_within_at_const mdifferentiableWithinAt_const
theorem mdifferentiable_const : MDifferentiable I I' fun _ : M => c := fun _ =>
mdifferentiableAt_const I I'
#align mdifferentiable_const mdifferentiable_const
theorem mdifferentiableOn_const : MDifferentiableOn I I' (fun _ : M => c) s :=
(mdifferentiable_const I I').mdifferentiableOn
#align mdifferentiable_on_const mdifferentiableOn_const
@[simp, mfld_simps]
theorem mfderiv_const :
mfderiv I I' (fun _ : M => c) x = (0 : TangentSpace I x →L[𝕜] TangentSpace I' c) :=
HasMFDerivAt.mfderiv (hasMFDerivAt_const I I' c x)
#align mfderiv_const mfderiv_const
theorem mfderivWithin_const (hxs : UniqueMDiffWithinAt I s x) :
mfderivWithin I I' (fun _ : M => c) s x = (0 : TangentSpace I x →L[𝕜] TangentSpace I' c) :=
(hasMFDerivWithinAt_const _ _ _ _ _).mfderivWithin hxs
#align mfderiv_within_const mfderivWithin_const
end Const
section Prod
/-! ### Operations on the product of two manifolds -/
theorem hasMFDerivAt_fst (x : M × M') :
HasMFDerivAt (I.prod I') I Prod.fst x
(ContinuousLinearMap.fst 𝕜 (TangentSpace I x.1) (TangentSpace I' x.2)) := by
refine ⟨continuous_fst.continuousAt, ?_⟩
have :
∀ᶠ y in 𝓝[range (I.prod I')] extChartAt (I.prod I') x x,
(extChartAt I x.1 ∘ Prod.fst ∘ (extChartAt (I.prod I') x).symm) y = y.1 := by
/- porting note: was
apply Filter.mem_of_superset (extChartAt_target_mem_nhdsWithin (I.prod I') x)
mfld_set_tac
-/
filter_upwards [extChartAt_target_mem_nhdsWithin (I.prod I') x] with y hy
rw [extChartAt_prod] at hy
exact (extChartAt I x.1).right_inv hy.1
apply HasFDerivWithinAt.congr_of_eventuallyEq hasFDerivWithinAt_fst this
-- Porting note: next line was `simp only [mfld_simps]`
exact (extChartAt I x.1).right_inv <| (extChartAt I x.1).map_source (mem_extChartAt_source _ _)
#align has_mfderiv_at_fst hasMFDerivAt_fst
theorem hasMFDerivWithinAt_fst (s : Set (M × M')) (x : M × M') :
HasMFDerivWithinAt (I.prod I') I Prod.fst s x
(ContinuousLinearMap.fst 𝕜 (TangentSpace I x.1) (TangentSpace I' x.2)) :=
(hasMFDerivAt_fst I I' x).hasMFDerivWithinAt
#align has_mfderiv_within_at_fst hasMFDerivWithinAt_fst
theorem mdifferentiableAt_fst {x : M × M'} : MDifferentiableAt (I.prod I') I Prod.fst x :=
(hasMFDerivAt_fst I I' x).mdifferentiableAt
#align mdifferentiable_at_fst mdifferentiableAt_fst
theorem mdifferentiableWithinAt_fst {s : Set (M × M')} {x : M × M'} :
MDifferentiableWithinAt (I.prod I') I Prod.fst s x :=
(mdifferentiableAt_fst I I').mdifferentiableWithinAt
#align mdifferentiable_within_at_fst mdifferentiableWithinAt_fst
theorem mdifferentiable_fst : MDifferentiable (I.prod I') I (Prod.fst : M × M' → M) := fun _ =>
mdifferentiableAt_fst I I'
#align mdifferentiable_fst mdifferentiable_fst
theorem mdifferentiableOn_fst {s : Set (M × M')} : MDifferentiableOn (I.prod I') I Prod.fst s :=
(mdifferentiable_fst I I').mdifferentiableOn
#align mdifferentiable_on_fst mdifferentiableOn_fst
@[simp, mfld_simps]
theorem mfderiv_fst {x : M × M'} :
mfderiv (I.prod I') I Prod.fst x =
ContinuousLinearMap.fst 𝕜 (TangentSpace I x.1) (TangentSpace I' x.2) :=
(hasMFDerivAt_fst I I' x).mfderiv
#align mfderiv_fst mfderiv_fst
theorem mfderivWithin_fst {s : Set (M × M')} {x : M × M'}
(hxs : UniqueMDiffWithinAt (I.prod I') s x) :
mfderivWithin (I.prod I') I Prod.fst s x =
ContinuousLinearMap.fst 𝕜 (TangentSpace I x.1) (TangentSpace I' x.2) := by
rw [MDifferentiable.mfderivWithin (mdifferentiableAt_fst I I') hxs]; exact mfderiv_fst I I'
#align mfderiv_within_fst mfderivWithin_fst
@[simp, mfld_simps]
theorem tangentMap_prod_fst {p : TangentBundle (I.prod I') (M × M')} :
tangentMap (I.prod I') I Prod.fst p = ⟨p.proj.1, p.2.1⟩ := by
-- Porting note: `rfl` wasn't needed
simp [tangentMap]; rfl
#align tangent_map_prod_fst tangentMap_prod_fst
| Mathlib/Geometry/Manifold/MFDeriv/SpecificFunctions.lean | 291 | 297 | theorem tangentMapWithin_prod_fst {s : Set (M × M')} {p : TangentBundle (I.prod I') (M × M')}
(hs : UniqueMDiffWithinAt (I.prod I') s p.proj) :
tangentMapWithin (I.prod I') I Prod.fst s p = ⟨p.proj.1, p.2.1⟩ := by |
simp only [tangentMapWithin]
rw [mfderivWithin_fst]
· rcases p with ⟨⟩; rfl
· exact hs
|
/-
Copyright (c) 2018 Chris Hughes. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Chris Hughes, Abhimanyu Pallavi Sudhir
-/
import Mathlib.Algebra.Order.CauSeq.BigOperators
import Mathlib.Data.Complex.Abs
import Mathlib.Data.Complex.BigOperators
import Mathlib.Data.Nat.Choose.Sum
#align_import data.complex.exponential from "leanprover-community/mathlib"@"a8b2226cfb0a79f5986492053fc49b1a0c6aeffb"
/-!
# Exponential, trigonometric and hyperbolic trigonometric functions
This file contains the definitions of the real and complex exponential, sine, cosine, tangent,
hyperbolic sine, hyperbolic cosine, and hyperbolic tangent functions.
-/
open CauSeq Finset IsAbsoluteValue
open scoped Classical ComplexConjugate
namespace Complex
theorem isCauSeq_abs_exp (z : ℂ) :
IsCauSeq _root_.abs fun n => ∑ m ∈ range n, abs (z ^ m / m.factorial) :=
let ⟨n, hn⟩ := exists_nat_gt (abs z)
have hn0 : (0 : ℝ) < n := lt_of_le_of_lt (abs.nonneg _) hn
IsCauSeq.series_ratio_test n (abs z / n) (div_nonneg (abs.nonneg _) (le_of_lt hn0))
(by rwa [div_lt_iff hn0, one_mul]) fun m hm => by
rw [abs_abs, abs_abs, Nat.factorial_succ, pow_succ', mul_comm m.succ, Nat.cast_mul, ← div_div,
mul_div_assoc, mul_div_right_comm, map_mul, map_div₀, abs_natCast]
gcongr
exact le_trans hm (Nat.le_succ _)
#align complex.is_cau_abs_exp Complex.isCauSeq_abs_exp
noncomputable section
theorem isCauSeq_exp (z : ℂ) : IsCauSeq abs fun n => ∑ m ∈ range n, z ^ m / m.factorial :=
(isCauSeq_abs_exp z).of_abv
#align complex.is_cau_exp Complex.isCauSeq_exp
/-- The Cauchy sequence consisting of partial sums of the Taylor series of
the complex exponential function -/
-- Porting note (#11180): removed `@[pp_nodot]`
def exp' (z : ℂ) : CauSeq ℂ Complex.abs :=
⟨fun n => ∑ m ∈ range n, z ^ m / m.factorial, isCauSeq_exp z⟩
#align complex.exp' Complex.exp'
/-- The complex exponential function, defined via its Taylor series -/
-- Porting note (#11180): removed `@[pp_nodot]`
-- Porting note: removed `irreducible` attribute, so I can prove things
def exp (z : ℂ) : ℂ :=
CauSeq.lim (exp' z)
#align complex.exp Complex.exp
/-- The complex sine function, defined via `exp` -/
-- Porting note (#11180): removed `@[pp_nodot]`
def sin (z : ℂ) : ℂ :=
(exp (-z * I) - exp (z * I)) * I / 2
#align complex.sin Complex.sin
/-- The complex cosine function, defined via `exp` -/
-- Porting note (#11180): removed `@[pp_nodot]`
def cos (z : ℂ) : ℂ :=
(exp (z * I) + exp (-z * I)) / 2
#align complex.cos Complex.cos
/-- The complex tangent function, defined as `sin z / cos z` -/
-- Porting note (#11180): removed `@[pp_nodot]`
def tan (z : ℂ) : ℂ :=
sin z / cos z
#align complex.tan Complex.tan
/-- The complex cotangent function, defined as `cos z / sin z` -/
def cot (z : ℂ) : ℂ :=
cos z / sin z
/-- The complex hyperbolic sine function, defined via `exp` -/
-- Porting note (#11180): removed `@[pp_nodot]`
def sinh (z : ℂ) : ℂ :=
(exp z - exp (-z)) / 2
#align complex.sinh Complex.sinh
/-- The complex hyperbolic cosine function, defined via `exp` -/
-- Porting note (#11180): removed `@[pp_nodot]`
def cosh (z : ℂ) : ℂ :=
(exp z + exp (-z)) / 2
#align complex.cosh Complex.cosh
/-- The complex hyperbolic tangent function, defined as `sinh z / cosh z` -/
-- Porting note (#11180): removed `@[pp_nodot]`
def tanh (z : ℂ) : ℂ :=
sinh z / cosh z
#align complex.tanh Complex.tanh
/-- scoped notation for the complex exponential function -/
scoped notation "cexp" => Complex.exp
end
end Complex
namespace Real
open Complex
noncomputable section
/-- The real exponential function, defined as the real part of the complex exponential -/
-- Porting note (#11180): removed `@[pp_nodot]`
nonrec def exp (x : ℝ) : ℝ :=
(exp x).re
#align real.exp Real.exp
/-- The real sine function, defined as the real part of the complex sine -/
-- Porting note (#11180): removed `@[pp_nodot]`
nonrec def sin (x : ℝ) : ℝ :=
(sin x).re
#align real.sin Real.sin
/-- The real cosine function, defined as the real part of the complex cosine -/
-- Porting note (#11180): removed `@[pp_nodot]`
nonrec def cos (x : ℝ) : ℝ :=
(cos x).re
#align real.cos Real.cos
/-- The real tangent function, defined as the real part of the complex tangent -/
-- Porting note (#11180): removed `@[pp_nodot]`
nonrec def tan (x : ℝ) : ℝ :=
(tan x).re
#align real.tan Real.tan
/-- The real cotangent function, defined as the real part of the complex cotangent -/
nonrec def cot (x : ℝ) : ℝ :=
(cot x).re
/-- The real hypebolic sine function, defined as the real part of the complex hyperbolic sine -/
-- Porting note (#11180): removed `@[pp_nodot]`
nonrec def sinh (x : ℝ) : ℝ :=
(sinh x).re
#align real.sinh Real.sinh
/-- The real hypebolic cosine function, defined as the real part of the complex hyperbolic cosine -/
-- Porting note (#11180): removed `@[pp_nodot]`
nonrec def cosh (x : ℝ) : ℝ :=
(cosh x).re
#align real.cosh Real.cosh
/-- The real hypebolic tangent function, defined as the real part of
the complex hyperbolic tangent -/
-- Porting note (#11180): removed `@[pp_nodot]`
nonrec def tanh (x : ℝ) : ℝ :=
(tanh x).re
#align real.tanh Real.tanh
/-- scoped notation for the real exponential function -/
scoped notation "rexp" => Real.exp
end
end Real
namespace Complex
variable (x y : ℂ)
@[simp]
theorem exp_zero : exp 0 = 1 := by
rw [exp]
refine lim_eq_of_equiv_const fun ε ε0 => ⟨1, fun j hj => ?_⟩
convert (config := .unfoldSameFun) ε0 -- Porting note: ε0 : ε > 0 but goal is _ < ε
cases' j with j j
· exact absurd hj (not_le_of_gt zero_lt_one)
· dsimp [exp']
induction' j with j ih
· dsimp [exp']; simp [show Nat.succ 0 = 1 from rfl]
· rw [← ih (by simp [Nat.succ_le_succ])]
simp only [sum_range_succ, pow_succ]
simp
#align complex.exp_zero Complex.exp_zero
theorem exp_add : exp (x + y) = exp x * exp y := by
have hj : ∀ j : ℕ, (∑ m ∈ range j, (x + y) ^ m / m.factorial) =
∑ i ∈ range j, ∑ k ∈ range (i + 1), x ^ k / k.factorial *
(y ^ (i - k) / (i - k).factorial) := by
intro j
refine Finset.sum_congr rfl fun m _ => ?_
rw [add_pow, div_eq_mul_inv, sum_mul]
refine Finset.sum_congr rfl fun I hi => ?_
have h₁ : (m.choose I : ℂ) ≠ 0 :=
Nat.cast_ne_zero.2 (pos_iff_ne_zero.1 (Nat.choose_pos (Nat.le_of_lt_succ (mem_range.1 hi))))
have h₂ := Nat.choose_mul_factorial_mul_factorial (Nat.le_of_lt_succ <| Finset.mem_range.1 hi)
rw [← h₂, Nat.cast_mul, Nat.cast_mul, mul_inv, mul_inv]
simp only [mul_left_comm (m.choose I : ℂ), mul_assoc, mul_left_comm (m.choose I : ℂ)⁻¹,
mul_comm (m.choose I : ℂ)]
rw [inv_mul_cancel h₁]
simp [div_eq_mul_inv, mul_comm, mul_assoc, mul_left_comm]
simp_rw [exp, exp', lim_mul_lim]
apply (lim_eq_lim_of_equiv _).symm
simp only [hj]
exact cauchy_product (isCauSeq_abs_exp x) (isCauSeq_exp y)
#align complex.exp_add Complex.exp_add
-- Porting note (#11445): new definition
/-- the exponential function as a monoid hom from `Multiplicative ℂ` to `ℂ` -/
noncomputable def expMonoidHom : MonoidHom (Multiplicative ℂ) ℂ :=
{ toFun := fun z => exp (Multiplicative.toAdd z),
map_one' := by simp,
map_mul' := by simp [exp_add] }
theorem exp_list_sum (l : List ℂ) : exp l.sum = (l.map exp).prod :=
map_list_prod (M := Multiplicative ℂ) expMonoidHom l
#align complex.exp_list_sum Complex.exp_list_sum
theorem exp_multiset_sum (s : Multiset ℂ) : exp s.sum = (s.map exp).prod :=
@MonoidHom.map_multiset_prod (Multiplicative ℂ) ℂ _ _ expMonoidHom s
#align complex.exp_multiset_sum Complex.exp_multiset_sum
theorem exp_sum {α : Type*} (s : Finset α) (f : α → ℂ) :
exp (∑ x ∈ s, f x) = ∏ x ∈ s, exp (f x) :=
map_prod (β := Multiplicative ℂ) expMonoidHom f s
#align complex.exp_sum Complex.exp_sum
lemma exp_nsmul (x : ℂ) (n : ℕ) : exp (n • x) = exp x ^ n :=
@MonoidHom.map_pow (Multiplicative ℂ) ℂ _ _ expMonoidHom _ _
theorem exp_nat_mul (x : ℂ) : ∀ n : ℕ, exp (n * x) = exp x ^ n
| 0 => by rw [Nat.cast_zero, zero_mul, exp_zero, pow_zero]
| Nat.succ n => by rw [pow_succ, Nat.cast_add_one, add_mul, exp_add, ← exp_nat_mul _ n, one_mul]
#align complex.exp_nat_mul Complex.exp_nat_mul
theorem exp_ne_zero : exp x ≠ 0 := fun h =>
zero_ne_one <| by rw [← exp_zero, ← add_neg_self x, exp_add, h]; simp
#align complex.exp_ne_zero Complex.exp_ne_zero
theorem exp_neg : exp (-x) = (exp x)⁻¹ := by
rw [← mul_right_inj' (exp_ne_zero x), ← exp_add]; simp [mul_inv_cancel (exp_ne_zero x)]
#align complex.exp_neg Complex.exp_neg
theorem exp_sub : exp (x - y) = exp x / exp y := by
simp [sub_eq_add_neg, exp_add, exp_neg, div_eq_mul_inv]
#align complex.exp_sub Complex.exp_sub
theorem exp_int_mul (z : ℂ) (n : ℤ) : Complex.exp (n * z) = Complex.exp z ^ n := by
cases n
· simp [exp_nat_mul]
· simp [exp_add, add_mul, pow_add, exp_neg, exp_nat_mul]
#align complex.exp_int_mul Complex.exp_int_mul
@[simp]
theorem exp_conj : exp (conj x) = conj (exp x) := by
dsimp [exp]
rw [← lim_conj]
refine congr_arg CauSeq.lim (CauSeq.ext fun _ => ?_)
dsimp [exp', Function.comp_def, cauSeqConj]
rw [map_sum (starRingEnd _)]
refine sum_congr rfl fun n _ => ?_
rw [map_div₀, map_pow, ← ofReal_natCast, conj_ofReal]
#align complex.exp_conj Complex.exp_conj
@[simp]
theorem ofReal_exp_ofReal_re (x : ℝ) : ((exp x).re : ℂ) = exp x :=
conj_eq_iff_re.1 <| by rw [← exp_conj, conj_ofReal]
#align complex.of_real_exp_of_real_re Complex.ofReal_exp_ofReal_re
@[simp, norm_cast]
theorem ofReal_exp (x : ℝ) : (Real.exp x : ℂ) = exp x :=
ofReal_exp_ofReal_re _
#align complex.of_real_exp Complex.ofReal_exp
@[simp]
theorem exp_ofReal_im (x : ℝ) : (exp x).im = 0 := by rw [← ofReal_exp_ofReal_re, ofReal_im]
#align complex.exp_of_real_im Complex.exp_ofReal_im
theorem exp_ofReal_re (x : ℝ) : (exp x).re = Real.exp x :=
rfl
#align complex.exp_of_real_re Complex.exp_ofReal_re
theorem two_sinh : 2 * sinh x = exp x - exp (-x) :=
mul_div_cancel₀ _ two_ne_zero
#align complex.two_sinh Complex.two_sinh
theorem two_cosh : 2 * cosh x = exp x + exp (-x) :=
mul_div_cancel₀ _ two_ne_zero
#align complex.two_cosh Complex.two_cosh
@[simp]
theorem sinh_zero : sinh 0 = 0 := by simp [sinh]
#align complex.sinh_zero Complex.sinh_zero
@[simp]
theorem sinh_neg : sinh (-x) = -sinh x := by simp [sinh, exp_neg, (neg_div _ _).symm, add_mul]
#align complex.sinh_neg Complex.sinh_neg
private theorem sinh_add_aux {a b c d : ℂ} :
(a - b) * (c + d) + (a + b) * (c - d) = 2 * (a * c - b * d) := by ring
theorem sinh_add : sinh (x + y) = sinh x * cosh y + cosh x * sinh y := by
rw [← mul_right_inj' (two_ne_zero' ℂ), two_sinh, exp_add, neg_add, exp_add, eq_comm, mul_add, ←
mul_assoc, two_sinh, mul_left_comm, two_sinh, ← mul_right_inj' (two_ne_zero' ℂ), mul_add,
mul_left_comm, two_cosh, ← mul_assoc, two_cosh]
exact sinh_add_aux
#align complex.sinh_add Complex.sinh_add
@[simp]
theorem cosh_zero : cosh 0 = 1 := by simp [cosh]
#align complex.cosh_zero Complex.cosh_zero
@[simp]
theorem cosh_neg : cosh (-x) = cosh x := by simp [add_comm, cosh, exp_neg]
#align complex.cosh_neg Complex.cosh_neg
private theorem cosh_add_aux {a b c d : ℂ} :
(a + b) * (c + d) + (a - b) * (c - d) = 2 * (a * c + b * d) := by ring
theorem cosh_add : cosh (x + y) = cosh x * cosh y + sinh x * sinh y := by
rw [← mul_right_inj' (two_ne_zero' ℂ), two_cosh, exp_add, neg_add, exp_add, eq_comm, mul_add, ←
mul_assoc, two_cosh, ← mul_assoc, two_sinh, ← mul_right_inj' (two_ne_zero' ℂ), mul_add,
mul_left_comm, two_cosh, mul_left_comm, two_sinh]
exact cosh_add_aux
#align complex.cosh_add Complex.cosh_add
theorem sinh_sub : sinh (x - y) = sinh x * cosh y - cosh x * sinh y := by
simp [sub_eq_add_neg, sinh_add, sinh_neg, cosh_neg]
#align complex.sinh_sub Complex.sinh_sub
theorem cosh_sub : cosh (x - y) = cosh x * cosh y - sinh x * sinh y := by
simp [sub_eq_add_neg, cosh_add, sinh_neg, cosh_neg]
#align complex.cosh_sub Complex.cosh_sub
theorem sinh_conj : sinh (conj x) = conj (sinh x) := by
rw [sinh, ← RingHom.map_neg, exp_conj, exp_conj, ← RingHom.map_sub, sinh, map_div₀]
-- Porting note: not nice
simp [← one_add_one_eq_two]
#align complex.sinh_conj Complex.sinh_conj
@[simp]
theorem ofReal_sinh_ofReal_re (x : ℝ) : ((sinh x).re : ℂ) = sinh x :=
conj_eq_iff_re.1 <| by rw [← sinh_conj, conj_ofReal]
#align complex.of_real_sinh_of_real_re Complex.ofReal_sinh_ofReal_re
@[simp, norm_cast]
theorem ofReal_sinh (x : ℝ) : (Real.sinh x : ℂ) = sinh x :=
ofReal_sinh_ofReal_re _
#align complex.of_real_sinh Complex.ofReal_sinh
@[simp]
theorem sinh_ofReal_im (x : ℝ) : (sinh x).im = 0 := by rw [← ofReal_sinh_ofReal_re, ofReal_im]
#align complex.sinh_of_real_im Complex.sinh_ofReal_im
theorem sinh_ofReal_re (x : ℝ) : (sinh x).re = Real.sinh x :=
rfl
#align complex.sinh_of_real_re Complex.sinh_ofReal_re
theorem cosh_conj : cosh (conj x) = conj (cosh x) := by
rw [cosh, ← RingHom.map_neg, exp_conj, exp_conj, ← RingHom.map_add, cosh, map_div₀]
-- Porting note: not nice
simp [← one_add_one_eq_two]
#align complex.cosh_conj Complex.cosh_conj
theorem ofReal_cosh_ofReal_re (x : ℝ) : ((cosh x).re : ℂ) = cosh x :=
conj_eq_iff_re.1 <| by rw [← cosh_conj, conj_ofReal]
#align complex.of_real_cosh_of_real_re Complex.ofReal_cosh_ofReal_re
@[simp, norm_cast]
theorem ofReal_cosh (x : ℝ) : (Real.cosh x : ℂ) = cosh x :=
ofReal_cosh_ofReal_re _
#align complex.of_real_cosh Complex.ofReal_cosh
@[simp]
theorem cosh_ofReal_im (x : ℝ) : (cosh x).im = 0 := by rw [← ofReal_cosh_ofReal_re, ofReal_im]
#align complex.cosh_of_real_im Complex.cosh_ofReal_im
@[simp]
theorem cosh_ofReal_re (x : ℝ) : (cosh x).re = Real.cosh x :=
rfl
#align complex.cosh_of_real_re Complex.cosh_ofReal_re
theorem tanh_eq_sinh_div_cosh : tanh x = sinh x / cosh x :=
rfl
#align complex.tanh_eq_sinh_div_cosh Complex.tanh_eq_sinh_div_cosh
@[simp]
theorem tanh_zero : tanh 0 = 0 := by simp [tanh]
#align complex.tanh_zero Complex.tanh_zero
@[simp]
theorem tanh_neg : tanh (-x) = -tanh x := by simp [tanh, neg_div]
#align complex.tanh_neg Complex.tanh_neg
theorem tanh_conj : tanh (conj x) = conj (tanh x) := by
rw [tanh, sinh_conj, cosh_conj, ← map_div₀, tanh]
#align complex.tanh_conj Complex.tanh_conj
@[simp]
theorem ofReal_tanh_ofReal_re (x : ℝ) : ((tanh x).re : ℂ) = tanh x :=
conj_eq_iff_re.1 <| by rw [← tanh_conj, conj_ofReal]
#align complex.of_real_tanh_of_real_re Complex.ofReal_tanh_ofReal_re
@[simp, norm_cast]
theorem ofReal_tanh (x : ℝ) : (Real.tanh x : ℂ) = tanh x :=
ofReal_tanh_ofReal_re _
#align complex.of_real_tanh Complex.ofReal_tanh
@[simp]
theorem tanh_ofReal_im (x : ℝ) : (tanh x).im = 0 := by rw [← ofReal_tanh_ofReal_re, ofReal_im]
#align complex.tanh_of_real_im Complex.tanh_ofReal_im
theorem tanh_ofReal_re (x : ℝ) : (tanh x).re = Real.tanh x :=
rfl
#align complex.tanh_of_real_re Complex.tanh_ofReal_re
@[simp]
theorem cosh_add_sinh : cosh x + sinh x = exp x := by
rw [← mul_right_inj' (two_ne_zero' ℂ), mul_add, two_cosh, two_sinh, add_add_sub_cancel, two_mul]
#align complex.cosh_add_sinh Complex.cosh_add_sinh
@[simp]
theorem sinh_add_cosh : sinh x + cosh x = exp x := by rw [add_comm, cosh_add_sinh]
#align complex.sinh_add_cosh Complex.sinh_add_cosh
@[simp]
theorem exp_sub_cosh : exp x - cosh x = sinh x :=
sub_eq_iff_eq_add.2 (sinh_add_cosh x).symm
#align complex.exp_sub_cosh Complex.exp_sub_cosh
@[simp]
theorem exp_sub_sinh : exp x - sinh x = cosh x :=
sub_eq_iff_eq_add.2 (cosh_add_sinh x).symm
#align complex.exp_sub_sinh Complex.exp_sub_sinh
@[simp]
theorem cosh_sub_sinh : cosh x - sinh x = exp (-x) := by
rw [← mul_right_inj' (two_ne_zero' ℂ), mul_sub, two_cosh, two_sinh, add_sub_sub_cancel, two_mul]
#align complex.cosh_sub_sinh Complex.cosh_sub_sinh
@[simp]
theorem sinh_sub_cosh : sinh x - cosh x = -exp (-x) := by rw [← neg_sub, cosh_sub_sinh]
#align complex.sinh_sub_cosh Complex.sinh_sub_cosh
@[simp]
theorem cosh_sq_sub_sinh_sq : cosh x ^ 2 - sinh x ^ 2 = 1 := by
rw [sq_sub_sq, cosh_add_sinh, cosh_sub_sinh, ← exp_add, add_neg_self, exp_zero]
#align complex.cosh_sq_sub_sinh_sq Complex.cosh_sq_sub_sinh_sq
theorem cosh_sq : cosh x ^ 2 = sinh x ^ 2 + 1 := by
rw [← cosh_sq_sub_sinh_sq x]
ring
#align complex.cosh_sq Complex.cosh_sq
theorem sinh_sq : sinh x ^ 2 = cosh x ^ 2 - 1 := by
rw [← cosh_sq_sub_sinh_sq x]
ring
#align complex.sinh_sq Complex.sinh_sq
theorem cosh_two_mul : cosh (2 * x) = cosh x ^ 2 + sinh x ^ 2 := by rw [two_mul, cosh_add, sq, sq]
#align complex.cosh_two_mul Complex.cosh_two_mul
theorem sinh_two_mul : sinh (2 * x) = 2 * sinh x * cosh x := by
rw [two_mul, sinh_add]
ring
#align complex.sinh_two_mul Complex.sinh_two_mul
theorem cosh_three_mul : cosh (3 * x) = 4 * cosh x ^ 3 - 3 * cosh x := by
have h1 : x + 2 * x = 3 * x := by ring
rw [← h1, cosh_add x (2 * x)]
simp only [cosh_two_mul, sinh_two_mul]
have h2 : sinh x * (2 * sinh x * cosh x) = 2 * cosh x * sinh x ^ 2 := by ring
rw [h2, sinh_sq]
ring
#align complex.cosh_three_mul Complex.cosh_three_mul
theorem sinh_three_mul : sinh (3 * x) = 4 * sinh x ^ 3 + 3 * sinh x := by
have h1 : x + 2 * x = 3 * x := by ring
rw [← h1, sinh_add x (2 * x)]
simp only [cosh_two_mul, sinh_two_mul]
have h2 : cosh x * (2 * sinh x * cosh x) = 2 * sinh x * cosh x ^ 2 := by ring
rw [h2, cosh_sq]
ring
#align complex.sinh_three_mul Complex.sinh_three_mul
@[simp]
theorem sin_zero : sin 0 = 0 := by simp [sin]
#align complex.sin_zero Complex.sin_zero
@[simp]
theorem sin_neg : sin (-x) = -sin x := by
simp [sin, sub_eq_add_neg, exp_neg, (neg_div _ _).symm, add_mul]
#align complex.sin_neg Complex.sin_neg
theorem two_sin : 2 * sin x = (exp (-x * I) - exp (x * I)) * I :=
mul_div_cancel₀ _ two_ne_zero
#align complex.two_sin Complex.two_sin
theorem two_cos : 2 * cos x = exp (x * I) + exp (-x * I) :=
mul_div_cancel₀ _ two_ne_zero
#align complex.two_cos Complex.two_cos
theorem sinh_mul_I : sinh (x * I) = sin x * I := by
rw [← mul_right_inj' (two_ne_zero' ℂ), two_sinh, ← mul_assoc, two_sin, mul_assoc, I_mul_I,
mul_neg_one, neg_sub, neg_mul_eq_neg_mul]
set_option linter.uppercaseLean3 false in
#align complex.sinh_mul_I Complex.sinh_mul_I
theorem cosh_mul_I : cosh (x * I) = cos x := by
rw [← mul_right_inj' (two_ne_zero' ℂ), two_cosh, two_cos, neg_mul_eq_neg_mul]
set_option linter.uppercaseLean3 false in
#align complex.cosh_mul_I Complex.cosh_mul_I
theorem tanh_mul_I : tanh (x * I) = tan x * I := by
rw [tanh_eq_sinh_div_cosh, cosh_mul_I, sinh_mul_I, mul_div_right_comm, tan]
set_option linter.uppercaseLean3 false in
#align complex.tanh_mul_I Complex.tanh_mul_I
theorem cos_mul_I : cos (x * I) = cosh x := by rw [← cosh_mul_I]; ring_nf; simp
set_option linter.uppercaseLean3 false in
#align complex.cos_mul_I Complex.cos_mul_I
theorem sin_mul_I : sin (x * I) = sinh x * I := by
have h : I * sin (x * I) = -sinh x := by
rw [mul_comm, ← sinh_mul_I]
ring_nf
simp
rw [← neg_neg (sinh x), ← h]
apply Complex.ext <;> simp
set_option linter.uppercaseLean3 false in
#align complex.sin_mul_I Complex.sin_mul_I
theorem tan_mul_I : tan (x * I) = tanh x * I := by
rw [tan, sin_mul_I, cos_mul_I, mul_div_right_comm, tanh_eq_sinh_div_cosh]
set_option linter.uppercaseLean3 false in
#align complex.tan_mul_I Complex.tan_mul_I
theorem sin_add : sin (x + y) = sin x * cos y + cos x * sin y := by
rw [← mul_left_inj' I_ne_zero, ← sinh_mul_I, add_mul, add_mul, mul_right_comm, ← sinh_mul_I,
mul_assoc, ← sinh_mul_I, ← cosh_mul_I, ← cosh_mul_I, sinh_add]
#align complex.sin_add Complex.sin_add
@[simp]
theorem cos_zero : cos 0 = 1 := by simp [cos]
#align complex.cos_zero Complex.cos_zero
@[simp]
theorem cos_neg : cos (-x) = cos x := by simp [cos, sub_eq_add_neg, exp_neg, add_comm]
#align complex.cos_neg Complex.cos_neg
private theorem cos_add_aux {a b c d : ℂ} :
(a + b) * (c + d) - (b - a) * (d - c) * -1 = 2 * (a * c + b * d) := by ring
theorem cos_add : cos (x + y) = cos x * cos y - sin x * sin y := by
rw [← cosh_mul_I, add_mul, cosh_add, cosh_mul_I, cosh_mul_I, sinh_mul_I, sinh_mul_I,
mul_mul_mul_comm, I_mul_I, mul_neg_one, sub_eq_add_neg]
#align complex.cos_add Complex.cos_add
| Mathlib/Data/Complex/Exponential.lean | 557 | 558 | theorem sin_sub : sin (x - y) = sin x * cos y - cos x * sin y := by |
simp [sub_eq_add_neg, sin_add, sin_neg, cos_neg]
|
/-
Copyright (c) 2020 Scott Morrison. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Markus Himmel, Scott Morrison
-/
import Mathlib.CategoryTheory.Limits.Shapes.ZeroMorphisms
import Mathlib.CategoryTheory.Limits.Shapes.Kernels
import Mathlib.CategoryTheory.Abelian.Basic
import Mathlib.CategoryTheory.Subobject.Lattice
import Mathlib.Order.Atoms
#align_import category_theory.simple from "leanprover-community/mathlib"@"4ed0bcaef698011b0692b93a042a2282f490f6b6"
/-!
# Simple objects
We define simple objects in any category with zero morphisms.
A simple object is an object `Y` such that any monomorphism `f : X ⟶ Y`
is either an isomorphism or zero (but not both).
This is formalized as a `Prop` valued typeclass `Simple X`.
In some contexts, especially representation theory, simple objects are called "irreducibles".
If a morphism `f` out of a simple object is nonzero and has a kernel, then that kernel is zero.
(We state this as `kernel.ι f = 0`, but should add `kernel f ≅ 0`.)
When the category is abelian, being simple is the same as being cosimple (although we do not
state a separate typeclass for this).
As a consequence, any nonzero epimorphism out of a simple object is an isomorphism,
and any nonzero morphism into a simple object has trivial cokernel.
We show that any simple object is indecomposable.
-/
noncomputable section
open CategoryTheory.Limits
namespace CategoryTheory
universe v u
variable {C : Type u} [Category.{v} C]
section
variable [HasZeroMorphisms C]
/-- An object is simple if monomorphisms into it are (exclusively) either isomorphisms or zero. -/
class Simple (X : C) : Prop where
mono_isIso_iff_nonzero : ∀ {Y : C} (f : Y ⟶ X) [Mono f], IsIso f ↔ f ≠ 0
#align category_theory.simple CategoryTheory.Simple
/-- A nonzero monomorphism to a simple object is an isomorphism. -/
theorem isIso_of_mono_of_nonzero {X Y : C} [Simple Y] {f : X ⟶ Y} [Mono f] (w : f ≠ 0) : IsIso f :=
(Simple.mono_isIso_iff_nonzero f).mpr w
#align category_theory.is_iso_of_mono_of_nonzero CategoryTheory.isIso_of_mono_of_nonzero
theorem Simple.of_iso {X Y : C} [Simple Y] (i : X ≅ Y) : Simple X :=
{ mono_isIso_iff_nonzero := fun f m => by
haveI : Mono (f ≫ i.hom) := mono_comp _ _
constructor
· intro h w
have j : IsIso (f ≫ i.hom) := by infer_instance
rw [Simple.mono_isIso_iff_nonzero] at j
subst w
simp at j
· intro h
have j : IsIso (f ≫ i.hom) := by
apply isIso_of_mono_of_nonzero
intro w
apply h
simpa using (cancel_mono i.inv).2 w
rw [← Category.comp_id f, ← i.hom_inv_id, ← Category.assoc]
infer_instance }
#align category_theory.simple.of_iso CategoryTheory.Simple.of_iso
theorem Simple.iff_of_iso {X Y : C} (i : X ≅ Y) : Simple X ↔ Simple Y :=
⟨fun _ => Simple.of_iso i.symm, fun _ => Simple.of_iso i⟩
#align category_theory.simple.iff_of_iso CategoryTheory.Simple.iff_of_iso
theorem kernel_zero_of_nonzero_from_simple {X Y : C} [Simple X] {f : X ⟶ Y} [HasKernel f]
(w : f ≠ 0) : kernel.ι f = 0 := by
classical
by_contra h
haveI := isIso_of_mono_of_nonzero h
exact w (eq_zero_of_epi_kernel f)
#align category_theory.kernel_zero_of_nonzero_from_simple CategoryTheory.kernel_zero_of_nonzero_from_simple
-- See also `mono_of_nonzero_from_simple`, which requires `Preadditive C`.
/-- A nonzero morphism `f` to a simple object is an epimorphism
(assuming `f` has an image, and `C` has equalizers).
-/
theorem epi_of_nonzero_to_simple [HasEqualizers C] {X Y : C} [Simple Y] {f : X ⟶ Y} [HasImage f]
(w : f ≠ 0) : Epi f := by
rw [← image.fac f]
haveI : IsIso (image.ι f) := isIso_of_mono_of_nonzero fun h => w (eq_zero_of_image_eq_zero h)
apply epi_comp
#align category_theory.epi_of_nonzero_to_simple CategoryTheory.epi_of_nonzero_to_simple
theorem mono_to_simple_zero_of_not_iso {X Y : C} [Simple Y] {f : X ⟶ Y} [Mono f]
(w : IsIso f → False) : f = 0 := by
classical
by_contra h
exact w (isIso_of_mono_of_nonzero h)
#align category_theory.mono_to_simple_zero_of_not_iso CategoryTheory.mono_to_simple_zero_of_not_iso
theorem id_nonzero (X : C) [Simple.{v} X] : 𝟙 X ≠ 0 :=
(Simple.mono_isIso_iff_nonzero (𝟙 X)).mp (by infer_instance)
#align category_theory.id_nonzero CategoryTheory.id_nonzero
instance (X : C) [Simple.{v} X] : Nontrivial (End X) :=
nontrivial_of_ne 1 _ (id_nonzero X)
section
theorem Simple.not_isZero (X : C) [Simple X] : ¬IsZero X := by
simpa [Limits.IsZero.iff_id_eq_zero] using id_nonzero X
#align category_theory.simple.not_is_zero CategoryTheory.Simple.not_isZero
variable [HasZeroObject C]
open ZeroObject
variable (C)
/-- We don't want the definition of 'simple' to include the zero object, so we check that here. -/
theorem zero_not_simple [Simple (0 : C)] : False :=
(Simple.mono_isIso_iff_nonzero (0 : (0 : C) ⟶ (0 : C))).mp ⟨⟨0, by aesop_cat⟩⟩ rfl
#align category_theory.zero_not_simple CategoryTheory.zero_not_simple
end
end
-- We next make the dual arguments, but for this we must be in an abelian category.
section Abelian
variable [Abelian C]
/-- In an abelian category, an object satisfying the dual of the definition of a simple object is
simple. -/
theorem simple_of_cosimple (X : C) (h : ∀ {Z : C} (f : X ⟶ Z) [Epi f], IsIso f ↔ f ≠ 0) :
Simple X :=
⟨fun {Y} f I => by
classical
fconstructor
· intros
have hx := cokernel.π_of_epi f
by_contra h
subst h
exact (h _).mp (cokernel.π_of_zero _ _) hx
· intro hf
suffices Epi f by exact isIso_of_mono_of_epi _
apply Preadditive.epi_of_cokernel_zero
by_contra h'
exact cokernel_not_iso_of_nonzero hf ((h _).mpr h')⟩
#align category_theory.simple_of_cosimple CategoryTheory.simple_of_cosimple
/-- A nonzero epimorphism from a simple object is an isomorphism. -/
theorem isIso_of_epi_of_nonzero {X Y : C} [Simple X] {f : X ⟶ Y} [Epi f] (w : f ≠ 0) : IsIso f :=
-- `f ≠ 0` means that `kernel.ι f` is not an iso, and hence zero, and hence `f` is a mono.
haveI : Mono f :=
Preadditive.mono_of_kernel_zero (mono_to_simple_zero_of_not_iso (kernel_not_iso_of_nonzero w))
isIso_of_mono_of_epi f
#align category_theory.is_iso_of_epi_of_nonzero CategoryTheory.isIso_of_epi_of_nonzero
theorem cokernel_zero_of_nonzero_to_simple {X Y : C} [Simple Y] {f : X ⟶ Y} (w : f ≠ 0) :
cokernel.π f = 0 := by
classical
by_contra h
haveI := isIso_of_epi_of_nonzero h
exact w (eq_zero_of_mono_cokernel f)
#align category_theory.cokernel_zero_of_nonzero_to_simple CategoryTheory.cokernel_zero_of_nonzero_to_simple
theorem epi_from_simple_zero_of_not_iso {X Y : C} [Simple X] {f : X ⟶ Y} [Epi f]
(w : IsIso f → False) : f = 0 := by
classical
by_contra h
exact w (isIso_of_epi_of_nonzero h)
#align category_theory.epi_from_simple_zero_of_not_iso CategoryTheory.epi_from_simple_zero_of_not_iso
end Abelian
section Indecomposable
variable [Preadditive C] [HasBinaryBiproducts C]
-- There are another three potential variations of this lemma,
-- but as any one suffices to prove `indecomposable_of_simple` we will not give them all.
| Mathlib/CategoryTheory/Simple.lean | 193 | 201 | theorem Biprod.isIso_inl_iff_isZero (X Y : C) : IsIso (biprod.inl : X ⟶ X ⊞ Y) ↔ IsZero Y := by |
rw [biprod.isIso_inl_iff_id_eq_fst_comp_inl, ← biprod.total, add_right_eq_self]
constructor
· intro h
replace h := h =≫ biprod.snd
simpa [← IsZero.iff_isSplitEpi_eq_zero (biprod.snd : X ⊞ Y ⟶ Y)] using h
· intro h
rw [IsZero.iff_isSplitEpi_eq_zero (biprod.snd : X ⊞ Y ⟶ Y)] at h
rw [h, zero_comp]
|
/-
Copyright (c) 2016 Jeremy Avigad. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jeremy Avigad, Leonardo de Moura, Mario Carneiro, Johannes Hölzl
-/
import Mathlib.Algebra.Order.Monoid.Defs
import Mathlib.Algebra.Order.Sub.Defs
import Mathlib.Util.AssertExists
#align_import algebra.order.group.defs from "leanprover-community/mathlib"@"b599f4e4e5cf1fbcb4194503671d3d9e569c1fce"
/-!
# Ordered groups
This file develops the basics of ordered groups.
## Implementation details
Unfortunately, the number of `'` appended to lemmas in this file
may differ between the multiplicative and the additive version of a lemma.
The reason is that we did not want to change existing names in the library.
-/
open Function
universe u
variable {α : Type u}
/-- An ordered additive commutative group is an additive commutative group
with a partial order in which addition is strictly monotone. -/
class OrderedAddCommGroup (α : Type u) extends AddCommGroup α, PartialOrder α where
/-- Addition is monotone in an ordered additive commutative group. -/
protected add_le_add_left : ∀ a b : α, a ≤ b → ∀ c : α, c + a ≤ c + b
#align ordered_add_comm_group OrderedAddCommGroup
/-- An ordered commutative group is a commutative group
with a partial order in which multiplication is strictly monotone. -/
class OrderedCommGroup (α : Type u) extends CommGroup α, PartialOrder α where
/-- Multiplication is monotone in an ordered commutative group. -/
protected mul_le_mul_left : ∀ a b : α, a ≤ b → ∀ c : α, c * a ≤ c * b
#align ordered_comm_group OrderedCommGroup
attribute [to_additive] OrderedCommGroup
@[to_additive]
instance OrderedCommGroup.to_covariantClass_left_le (α : Type u) [OrderedCommGroup α] :
CovariantClass α α (· * ·) (· ≤ ·) where
elim a b c bc := OrderedCommGroup.mul_le_mul_left b c bc a
#align ordered_comm_group.to_covariant_class_left_le OrderedCommGroup.to_covariantClass_left_le
#align ordered_add_comm_group.to_covariant_class_left_le OrderedAddCommGroup.to_covariantClass_left_le
-- See note [lower instance priority]
@[to_additive OrderedAddCommGroup.toOrderedCancelAddCommMonoid]
instance (priority := 100) OrderedCommGroup.toOrderedCancelCommMonoid [OrderedCommGroup α] :
OrderedCancelCommMonoid α :=
{ ‹OrderedCommGroup α› with le_of_mul_le_mul_left := fun a b c ↦ le_of_mul_le_mul_left' }
#align ordered_comm_group.to_ordered_cancel_comm_monoid OrderedCommGroup.toOrderedCancelCommMonoid
#align ordered_add_comm_group.to_ordered_cancel_add_comm_monoid OrderedAddCommGroup.toOrderedCancelAddCommMonoid
example (α : Type u) [OrderedAddCommGroup α] : CovariantClass α α (swap (· + ·)) (· < ·) :=
IsRightCancelAdd.covariant_swap_add_lt_of_covariant_swap_add_le α
-- Porting note: this instance is not used,
-- and causes timeouts after lean4#2210.
-- It was introduced in https://github.com/leanprover-community/mathlib/pull/17564
-- but without the motivation clearly explained.
/-- A choice-free shortcut instance. -/
@[to_additive "A choice-free shortcut instance."]
theorem OrderedCommGroup.to_contravariantClass_left_le (α : Type u) [OrderedCommGroup α] :
ContravariantClass α α (· * ·) (· ≤ ·) where
elim a b c bc := by simpa using mul_le_mul_left' bc a⁻¹
#align ordered_comm_group.to_contravariant_class_left_le OrderedCommGroup.to_contravariantClass_left_le
#align ordered_add_comm_group.to_contravariant_class_left_le OrderedAddCommGroup.to_contravariantClass_left_le
-- Porting note: this instance is not used,
-- and causes timeouts after lean4#2210.
-- See further explanation on `OrderedCommGroup.to_contravariantClass_left_le`.
/-- A choice-free shortcut instance. -/
@[to_additive "A choice-free shortcut instance."]
theorem OrderedCommGroup.to_contravariantClass_right_le (α : Type u) [OrderedCommGroup α] :
ContravariantClass α α (swap (· * ·)) (· ≤ ·) where
elim a b c bc := by simpa using mul_le_mul_right' bc a⁻¹
#align ordered_comm_group.to_contravariant_class_right_le OrderedCommGroup.to_contravariantClass_right_le
#align ordered_add_comm_group.to_contravariant_class_right_le OrderedAddCommGroup.to_contravariantClass_right_le
section Group
variable [Group α]
section TypeclassesLeftLE
variable [LE α] [CovariantClass α α (· * ·) (· ≤ ·)] {a b c d : α}
/-- Uses `left` co(ntra)variant. -/
@[to_additive (attr := simp) "Uses `left` co(ntra)variant."]
theorem Left.inv_le_one_iff : a⁻¹ ≤ 1 ↔ 1 ≤ a := by
rw [← mul_le_mul_iff_left a]
simp
#align left.inv_le_one_iff Left.inv_le_one_iff
#align left.neg_nonpos_iff Left.neg_nonpos_iff
/-- Uses `left` co(ntra)variant. -/
@[to_additive (attr := simp) "Uses `left` co(ntra)variant."]
theorem Left.one_le_inv_iff : 1 ≤ a⁻¹ ↔ a ≤ 1 := by
rw [← mul_le_mul_iff_left a]
simp
#align left.one_le_inv_iff Left.one_le_inv_iff
#align left.nonneg_neg_iff Left.nonneg_neg_iff
@[to_additive (attr := simp)]
theorem le_inv_mul_iff_mul_le : b ≤ a⁻¹ * c ↔ a * b ≤ c := by
rw [← mul_le_mul_iff_left a]
simp
#align le_inv_mul_iff_mul_le le_inv_mul_iff_mul_le
#align le_neg_add_iff_add_le le_neg_add_iff_add_le
@[to_additive (attr := simp)]
theorem inv_mul_le_iff_le_mul : b⁻¹ * a ≤ c ↔ a ≤ b * c := by
rw [← mul_le_mul_iff_left b, mul_inv_cancel_left]
#align inv_mul_le_iff_le_mul inv_mul_le_iff_le_mul
#align neg_add_le_iff_le_add neg_add_le_iff_le_add
@[to_additive neg_le_iff_add_nonneg']
theorem inv_le_iff_one_le_mul' : a⁻¹ ≤ b ↔ 1 ≤ a * b :=
(mul_le_mul_iff_left a).symm.trans <| by rw [mul_inv_self]
#align inv_le_iff_one_le_mul' inv_le_iff_one_le_mul'
#align neg_le_iff_add_nonneg' neg_le_iff_add_nonneg'
@[to_additive]
theorem le_inv_iff_mul_le_one_left : a ≤ b⁻¹ ↔ b * a ≤ 1 :=
(mul_le_mul_iff_left b).symm.trans <| by rw [mul_inv_self]
#align le_inv_iff_mul_le_one_left le_inv_iff_mul_le_one_left
#align le_neg_iff_add_nonpos_left le_neg_iff_add_nonpos_left
@[to_additive]
theorem le_inv_mul_iff_le : 1 ≤ b⁻¹ * a ↔ b ≤ a := by
rw [← mul_le_mul_iff_left b, mul_one, mul_inv_cancel_left]
#align le_inv_mul_iff_le le_inv_mul_iff_le
#align le_neg_add_iff_le le_neg_add_iff_le
@[to_additive]
theorem inv_mul_le_one_iff : a⁻¹ * b ≤ 1 ↔ b ≤ a :=
-- Porting note: why is the `_root_` needed?
_root_.trans inv_mul_le_iff_le_mul <| by rw [mul_one]
#align inv_mul_le_one_iff inv_mul_le_one_iff
#align neg_add_nonpos_iff neg_add_nonpos_iff
end TypeclassesLeftLE
section TypeclassesLeftLT
variable [LT α] [CovariantClass α α (· * ·) (· < ·)] {a b c : α}
/-- Uses `left` co(ntra)variant. -/
@[to_additive (attr := simp) Left.neg_pos_iff "Uses `left` co(ntra)variant."]
theorem Left.one_lt_inv_iff : 1 < a⁻¹ ↔ a < 1 := by
rw [← mul_lt_mul_iff_left a, mul_inv_self, mul_one]
#align left.one_lt_inv_iff Left.one_lt_inv_iff
#align left.neg_pos_iff Left.neg_pos_iff
/-- Uses `left` co(ntra)variant. -/
@[to_additive (attr := simp) "Uses `left` co(ntra)variant."]
theorem Left.inv_lt_one_iff : a⁻¹ < 1 ↔ 1 < a := by
rw [← mul_lt_mul_iff_left a, mul_inv_self, mul_one]
#align left.inv_lt_one_iff Left.inv_lt_one_iff
#align left.neg_neg_iff Left.neg_neg_iff
@[to_additive (attr := simp)]
theorem lt_inv_mul_iff_mul_lt : b < a⁻¹ * c ↔ a * b < c := by
rw [← mul_lt_mul_iff_left a]
simp
#align lt_inv_mul_iff_mul_lt lt_inv_mul_iff_mul_lt
#align lt_neg_add_iff_add_lt lt_neg_add_iff_add_lt
@[to_additive (attr := simp)]
theorem inv_mul_lt_iff_lt_mul : b⁻¹ * a < c ↔ a < b * c := by
rw [← mul_lt_mul_iff_left b, mul_inv_cancel_left]
#align inv_mul_lt_iff_lt_mul inv_mul_lt_iff_lt_mul
#align neg_add_lt_iff_lt_add neg_add_lt_iff_lt_add
@[to_additive]
theorem inv_lt_iff_one_lt_mul' : a⁻¹ < b ↔ 1 < a * b :=
(mul_lt_mul_iff_left a).symm.trans <| by rw [mul_inv_self]
#align inv_lt_iff_one_lt_mul' inv_lt_iff_one_lt_mul'
#align neg_lt_iff_pos_add' neg_lt_iff_pos_add'
@[to_additive]
theorem lt_inv_iff_mul_lt_one' : a < b⁻¹ ↔ b * a < 1 :=
(mul_lt_mul_iff_left b).symm.trans <| by rw [mul_inv_self]
#align lt_inv_iff_mul_lt_one' lt_inv_iff_mul_lt_one'
#align lt_neg_iff_add_neg' lt_neg_iff_add_neg'
@[to_additive]
theorem lt_inv_mul_iff_lt : 1 < b⁻¹ * a ↔ b < a := by
rw [← mul_lt_mul_iff_left b, mul_one, mul_inv_cancel_left]
#align lt_inv_mul_iff_lt lt_inv_mul_iff_lt
#align lt_neg_add_iff_lt lt_neg_add_iff_lt
@[to_additive]
theorem inv_mul_lt_one_iff : a⁻¹ * b < 1 ↔ b < a :=
_root_.trans inv_mul_lt_iff_lt_mul <| by rw [mul_one]
#align inv_mul_lt_one_iff inv_mul_lt_one_iff
#align neg_add_neg_iff neg_add_neg_iff
end TypeclassesLeftLT
section TypeclassesRightLE
variable [LE α] [CovariantClass α α (swap (· * ·)) (· ≤ ·)] {a b c : α}
/-- Uses `right` co(ntra)variant. -/
@[to_additive (attr := simp) "Uses `right` co(ntra)variant."]
theorem Right.inv_le_one_iff : a⁻¹ ≤ 1 ↔ 1 ≤ a := by
rw [← mul_le_mul_iff_right a]
simp
#align right.inv_le_one_iff Right.inv_le_one_iff
#align right.neg_nonpos_iff Right.neg_nonpos_iff
/-- Uses `right` co(ntra)variant. -/
@[to_additive (attr := simp) "Uses `right` co(ntra)variant."]
theorem Right.one_le_inv_iff : 1 ≤ a⁻¹ ↔ a ≤ 1 := by
rw [← mul_le_mul_iff_right a]
simp
#align right.one_le_inv_iff Right.one_le_inv_iff
#align right.nonneg_neg_iff Right.nonneg_neg_iff
@[to_additive neg_le_iff_add_nonneg]
theorem inv_le_iff_one_le_mul : a⁻¹ ≤ b ↔ 1 ≤ b * a :=
(mul_le_mul_iff_right a).symm.trans <| by rw [inv_mul_self]
#align inv_le_iff_one_le_mul inv_le_iff_one_le_mul
#align neg_le_iff_add_nonneg neg_le_iff_add_nonneg
@[to_additive]
theorem le_inv_iff_mul_le_one_right : a ≤ b⁻¹ ↔ a * b ≤ 1 :=
(mul_le_mul_iff_right b).symm.trans <| by rw [inv_mul_self]
#align le_inv_iff_mul_le_one_right le_inv_iff_mul_le_one_right
#align le_neg_iff_add_nonpos_right le_neg_iff_add_nonpos_right
@[to_additive (attr := simp)]
theorem mul_inv_le_iff_le_mul : a * b⁻¹ ≤ c ↔ a ≤ c * b :=
(mul_le_mul_iff_right b).symm.trans <| by rw [inv_mul_cancel_right]
#align mul_inv_le_iff_le_mul mul_inv_le_iff_le_mul
#align add_neg_le_iff_le_add add_neg_le_iff_le_add
@[to_additive (attr := simp)]
theorem le_mul_inv_iff_mul_le : c ≤ a * b⁻¹ ↔ c * b ≤ a :=
(mul_le_mul_iff_right b).symm.trans <| by rw [inv_mul_cancel_right]
#align le_mul_inv_iff_mul_le le_mul_inv_iff_mul_le
#align le_add_neg_iff_add_le le_add_neg_iff_add_le
-- Porting note (#10618): `simp` can prove this
@[to_additive]
theorem mul_inv_le_one_iff_le : a * b⁻¹ ≤ 1 ↔ a ≤ b :=
mul_inv_le_iff_le_mul.trans <| by rw [one_mul]
#align mul_inv_le_one_iff_le mul_inv_le_one_iff_le
#align add_neg_nonpos_iff_le add_neg_nonpos_iff_le
@[to_additive]
theorem le_mul_inv_iff_le : 1 ≤ a * b⁻¹ ↔ b ≤ a := by
rw [← mul_le_mul_iff_right b, one_mul, inv_mul_cancel_right]
#align le_mul_inv_iff_le le_mul_inv_iff_le
#align le_add_neg_iff_le le_add_neg_iff_le
@[to_additive]
theorem mul_inv_le_one_iff : b * a⁻¹ ≤ 1 ↔ b ≤ a :=
_root_.trans mul_inv_le_iff_le_mul <| by rw [one_mul]
#align mul_inv_le_one_iff mul_inv_le_one_iff
#align add_neg_nonpos_iff add_neg_nonpos_iff
end TypeclassesRightLE
section TypeclassesRightLT
variable [LT α] [CovariantClass α α (swap (· * ·)) (· < ·)] {a b c : α}
/-- Uses `right` co(ntra)variant. -/
@[to_additive (attr := simp) "Uses `right` co(ntra)variant."]
theorem Right.inv_lt_one_iff : a⁻¹ < 1 ↔ 1 < a := by
rw [← mul_lt_mul_iff_right a, inv_mul_self, one_mul]
#align right.inv_lt_one_iff Right.inv_lt_one_iff
#align right.neg_neg_iff Right.neg_neg_iff
/-- Uses `right` co(ntra)variant. -/
@[to_additive (attr := simp) Right.neg_pos_iff "Uses `right` co(ntra)variant."]
theorem Right.one_lt_inv_iff : 1 < a⁻¹ ↔ a < 1 := by
rw [← mul_lt_mul_iff_right a, inv_mul_self, one_mul]
#align right.one_lt_inv_iff Right.one_lt_inv_iff
#align right.neg_pos_iff Right.neg_pos_iff
@[to_additive]
theorem inv_lt_iff_one_lt_mul : a⁻¹ < b ↔ 1 < b * a :=
(mul_lt_mul_iff_right a).symm.trans <| by rw [inv_mul_self]
#align inv_lt_iff_one_lt_mul inv_lt_iff_one_lt_mul
#align neg_lt_iff_pos_add neg_lt_iff_pos_add
@[to_additive]
theorem lt_inv_iff_mul_lt_one : a < b⁻¹ ↔ a * b < 1 :=
(mul_lt_mul_iff_right b).symm.trans <| by rw [inv_mul_self]
#align lt_inv_iff_mul_lt_one lt_inv_iff_mul_lt_one
#align lt_neg_iff_add_neg lt_neg_iff_add_neg
@[to_additive (attr := simp)]
theorem mul_inv_lt_iff_lt_mul : a * b⁻¹ < c ↔ a < c * b := by
rw [← mul_lt_mul_iff_right b, inv_mul_cancel_right]
#align mul_inv_lt_iff_lt_mul mul_inv_lt_iff_lt_mul
#align add_neg_lt_iff_lt_add add_neg_lt_iff_lt_add
@[to_additive (attr := simp)]
theorem lt_mul_inv_iff_mul_lt : c < a * b⁻¹ ↔ c * b < a :=
(mul_lt_mul_iff_right b).symm.trans <| by rw [inv_mul_cancel_right]
#align lt_mul_inv_iff_mul_lt lt_mul_inv_iff_mul_lt
#align lt_add_neg_iff_add_lt lt_add_neg_iff_add_lt
-- Porting note (#10618): `simp` can prove this
@[to_additive]
theorem inv_mul_lt_one_iff_lt : a * b⁻¹ < 1 ↔ a < b := by
rw [← mul_lt_mul_iff_right b, inv_mul_cancel_right, one_mul]
#align inv_mul_lt_one_iff_lt inv_mul_lt_one_iff_lt
#align neg_add_neg_iff_lt neg_add_neg_iff_lt
@[to_additive]
theorem lt_mul_inv_iff_lt : 1 < a * b⁻¹ ↔ b < a := by
rw [← mul_lt_mul_iff_right b, one_mul, inv_mul_cancel_right]
#align lt_mul_inv_iff_lt lt_mul_inv_iff_lt
#align lt_add_neg_iff_lt lt_add_neg_iff_lt
@[to_additive]
theorem mul_inv_lt_one_iff : b * a⁻¹ < 1 ↔ b < a :=
_root_.trans mul_inv_lt_iff_lt_mul <| by rw [one_mul]
#align mul_inv_lt_one_iff mul_inv_lt_one_iff
#align add_neg_neg_iff add_neg_neg_iff
end TypeclassesRightLT
section TypeclassesLeftRightLE
variable [LE α] [CovariantClass α α (· * ·) (· ≤ ·)] [CovariantClass α α (swap (· * ·)) (· ≤ ·)]
{a b c d : α}
@[to_additive (attr := simp)]
theorem inv_le_inv_iff : a⁻¹ ≤ b⁻¹ ↔ b ≤ a := by
rw [← mul_le_mul_iff_left a, ← mul_le_mul_iff_right b]
simp
#align inv_le_inv_iff inv_le_inv_iff
#align neg_le_neg_iff neg_le_neg_iff
alias ⟨le_of_neg_le_neg, _⟩ := neg_le_neg_iff
#align le_of_neg_le_neg le_of_neg_le_neg
@[to_additive]
theorem mul_inv_le_inv_mul_iff : a * b⁻¹ ≤ d⁻¹ * c ↔ d * a ≤ c * b := by
rw [← mul_le_mul_iff_left d, ← mul_le_mul_iff_right b, mul_inv_cancel_left, mul_assoc,
inv_mul_cancel_right]
#align mul_inv_le_inv_mul_iff mul_inv_le_inv_mul_iff
#align add_neg_le_neg_add_iff add_neg_le_neg_add_iff
@[to_additive (attr := simp)]
theorem div_le_self_iff (a : α) {b : α} : a / b ≤ a ↔ 1 ≤ b := by
simp [div_eq_mul_inv]
#align div_le_self_iff div_le_self_iff
#align sub_le_self_iff sub_le_self_iff
@[to_additive (attr := simp)]
theorem le_div_self_iff (a : α) {b : α} : a ≤ a / b ↔ b ≤ 1 := by
simp [div_eq_mul_inv]
#align le_div_self_iff le_div_self_iff
#align le_sub_self_iff le_sub_self_iff
alias ⟨_, sub_le_self⟩ := sub_le_self_iff
#align sub_le_self sub_le_self
end TypeclassesLeftRightLE
section TypeclassesLeftRightLT
variable [LT α] [CovariantClass α α (· * ·) (· < ·)] [CovariantClass α α (swap (· * ·)) (· < ·)]
{a b c d : α}
@[to_additive (attr := simp)]
theorem inv_lt_inv_iff : a⁻¹ < b⁻¹ ↔ b < a := by
rw [← mul_lt_mul_iff_left a, ← mul_lt_mul_iff_right b]
simp
#align inv_lt_inv_iff inv_lt_inv_iff
#align neg_lt_neg_iff neg_lt_neg_iff
@[to_additive neg_lt]
theorem inv_lt' : a⁻¹ < b ↔ b⁻¹ < a := by rw [← inv_lt_inv_iff, inv_inv]
#align inv_lt' inv_lt'
#align neg_lt neg_lt
@[to_additive lt_neg]
theorem lt_inv' : a < b⁻¹ ↔ b < a⁻¹ := by rw [← inv_lt_inv_iff, inv_inv]
#align lt_inv' lt_inv'
#align lt_neg lt_neg
alias ⟨lt_inv_of_lt_inv, _⟩ := lt_inv'
#align lt_inv_of_lt_inv lt_inv_of_lt_inv
attribute [to_additive] lt_inv_of_lt_inv
#align lt_neg_of_lt_neg lt_neg_of_lt_neg
alias ⟨inv_lt_of_inv_lt', _⟩ := inv_lt'
#align inv_lt_of_inv_lt' inv_lt_of_inv_lt'
attribute [to_additive neg_lt_of_neg_lt] inv_lt_of_inv_lt'
#align neg_lt_of_neg_lt neg_lt_of_neg_lt
@[to_additive]
theorem mul_inv_lt_inv_mul_iff : a * b⁻¹ < d⁻¹ * c ↔ d * a < c * b := by
rw [← mul_lt_mul_iff_left d, ← mul_lt_mul_iff_right b, mul_inv_cancel_left, mul_assoc,
inv_mul_cancel_right]
#align mul_inv_lt_inv_mul_iff mul_inv_lt_inv_mul_iff
#align add_neg_lt_neg_add_iff add_neg_lt_neg_add_iff
@[to_additive (attr := simp)]
theorem div_lt_self_iff (a : α) {b : α} : a / b < a ↔ 1 < b := by
simp [div_eq_mul_inv]
#align div_lt_self_iff div_lt_self_iff
#align sub_lt_self_iff sub_lt_self_iff
alias ⟨_, sub_lt_self⟩ := sub_lt_self_iff
#align sub_lt_self sub_lt_self
end TypeclassesLeftRightLT
section Preorder
variable [Preorder α]
section LeftLE
variable [CovariantClass α α (· * ·) (· ≤ ·)] {a : α}
@[to_additive]
theorem Left.inv_le_self (h : 1 ≤ a) : a⁻¹ ≤ a :=
le_trans (Left.inv_le_one_iff.mpr h) h
#align left.inv_le_self Left.inv_le_self
#align left.neg_le_self Left.neg_le_self
alias neg_le_self := Left.neg_le_self
#align neg_le_self neg_le_self
@[to_additive]
theorem Left.self_le_inv (h : a ≤ 1) : a ≤ a⁻¹ :=
le_trans h (Left.one_le_inv_iff.mpr h)
#align left.self_le_inv Left.self_le_inv
#align left.self_le_neg Left.self_le_neg
end LeftLE
section LeftLT
variable [CovariantClass α α (· * ·) (· < ·)] {a : α}
@[to_additive]
theorem Left.inv_lt_self (h : 1 < a) : a⁻¹ < a :=
(Left.inv_lt_one_iff.mpr h).trans h
#align left.inv_lt_self Left.inv_lt_self
#align left.neg_lt_self Left.neg_lt_self
alias neg_lt_self := Left.neg_lt_self
#align neg_lt_self neg_lt_self
@[to_additive]
theorem Left.self_lt_inv (h : a < 1) : a < a⁻¹ :=
lt_trans h (Left.one_lt_inv_iff.mpr h)
#align left.self_lt_inv Left.self_lt_inv
#align left.self_lt_neg Left.self_lt_neg
end LeftLT
section RightLE
variable [CovariantClass α α (swap (· * ·)) (· ≤ ·)] {a : α}
@[to_additive]
theorem Right.inv_le_self (h : 1 ≤ a) : a⁻¹ ≤ a :=
le_trans (Right.inv_le_one_iff.mpr h) h
#align right.inv_le_self Right.inv_le_self
#align right.neg_le_self Right.neg_le_self
@[to_additive]
theorem Right.self_le_inv (h : a ≤ 1) : a ≤ a⁻¹ :=
le_trans h (Right.one_le_inv_iff.mpr h)
#align right.self_le_inv Right.self_le_inv
#align right.self_le_neg Right.self_le_neg
end RightLE
section RightLT
variable [CovariantClass α α (swap (· * ·)) (· < ·)] {a : α}
@[to_additive]
theorem Right.inv_lt_self (h : 1 < a) : a⁻¹ < a :=
(Right.inv_lt_one_iff.mpr h).trans h
#align right.inv_lt_self Right.inv_lt_self
#align right.neg_lt_self Right.neg_lt_self
@[to_additive]
theorem Right.self_lt_inv (h : a < 1) : a < a⁻¹ :=
lt_trans h (Right.one_lt_inv_iff.mpr h)
#align right.self_lt_inv Right.self_lt_inv
#align right.self_lt_neg Right.self_lt_neg
end RightLT
end Preorder
end Group
section CommGroup
variable [CommGroup α]
section LE
variable [LE α] [CovariantClass α α (· * ·) (· ≤ ·)] {a b c d : α}
@[to_additive]
theorem inv_mul_le_iff_le_mul' : c⁻¹ * a ≤ b ↔ a ≤ b * c := by rw [inv_mul_le_iff_le_mul, mul_comm]
#align inv_mul_le_iff_le_mul' inv_mul_le_iff_le_mul'
#align neg_add_le_iff_le_add' neg_add_le_iff_le_add'
-- Porting note: `simp` simplifies LHS to `a ≤ c * b`
@[to_additive]
theorem mul_inv_le_iff_le_mul' : a * b⁻¹ ≤ c ↔ a ≤ b * c := by
rw [← inv_mul_le_iff_le_mul, mul_comm]
#align mul_inv_le_iff_le_mul' mul_inv_le_iff_le_mul'
#align add_neg_le_iff_le_add' add_neg_le_iff_le_add'
@[to_additive add_neg_le_add_neg_iff]
theorem mul_inv_le_mul_inv_iff' : a * b⁻¹ ≤ c * d⁻¹ ↔ a * d ≤ c * b := by
rw [mul_comm c, mul_inv_le_inv_mul_iff, mul_comm]
#align mul_inv_le_mul_inv_iff' mul_inv_le_mul_inv_iff'
#align add_neg_le_add_neg_iff add_neg_le_add_neg_iff
end LE
section LT
variable [LT α] [CovariantClass α α (· * ·) (· < ·)] {a b c d : α}
@[to_additive]
theorem inv_mul_lt_iff_lt_mul' : c⁻¹ * a < b ↔ a < b * c := by rw [inv_mul_lt_iff_lt_mul, mul_comm]
#align inv_mul_lt_iff_lt_mul' inv_mul_lt_iff_lt_mul'
#align neg_add_lt_iff_lt_add' neg_add_lt_iff_lt_add'
-- Porting note: `simp` simplifies LHS to `a < c * b`
@[to_additive]
theorem mul_inv_lt_iff_le_mul' : a * b⁻¹ < c ↔ a < b * c := by
rw [← inv_mul_lt_iff_lt_mul, mul_comm]
#align mul_inv_lt_iff_le_mul' mul_inv_lt_iff_le_mul'
#align add_neg_lt_iff_le_add' add_neg_lt_iff_le_add'
@[to_additive add_neg_lt_add_neg_iff]
theorem mul_inv_lt_mul_inv_iff' : a * b⁻¹ < c * d⁻¹ ↔ a * d < c * b := by
rw [mul_comm c, mul_inv_lt_inv_mul_iff, mul_comm]
#align mul_inv_lt_mul_inv_iff' mul_inv_lt_mul_inv_iff'
#align add_neg_lt_add_neg_iff add_neg_lt_add_neg_iff
end LT
end CommGroup
alias ⟨one_le_of_inv_le_one, _⟩ := Left.inv_le_one_iff
#align one_le_of_inv_le_one one_le_of_inv_le_one
attribute [to_additive] one_le_of_inv_le_one
#align nonneg_of_neg_nonpos nonneg_of_neg_nonpos
alias ⟨le_one_of_one_le_inv, _⟩ := Left.one_le_inv_iff
#align le_one_of_one_le_inv le_one_of_one_le_inv
attribute [to_additive nonpos_of_neg_nonneg] le_one_of_one_le_inv
#align nonpos_of_neg_nonneg nonpos_of_neg_nonneg
alias ⟨lt_of_inv_lt_inv, _⟩ := inv_lt_inv_iff
#align lt_of_inv_lt_inv lt_of_inv_lt_inv
attribute [to_additive] lt_of_inv_lt_inv
#align lt_of_neg_lt_neg lt_of_neg_lt_neg
alias ⟨one_lt_of_inv_lt_one, _⟩ := Left.inv_lt_one_iff
#align one_lt_of_inv_lt_one one_lt_of_inv_lt_one
attribute [to_additive] one_lt_of_inv_lt_one
#align pos_of_neg_neg pos_of_neg_neg
alias inv_lt_one_iff_one_lt := Left.inv_lt_one_iff
#align inv_lt_one_iff_one_lt inv_lt_one_iff_one_lt
attribute [to_additive] inv_lt_one_iff_one_lt
#align neg_neg_iff_pos neg_neg_iff_pos
alias inv_lt_one' := Left.inv_lt_one_iff
#align inv_lt_one' inv_lt_one'
attribute [to_additive neg_lt_zero] inv_lt_one'
#align neg_lt_zero neg_lt_zero
alias ⟨inv_of_one_lt_inv, _⟩ := Left.one_lt_inv_iff
#align inv_of_one_lt_inv inv_of_one_lt_inv
attribute [to_additive neg_of_neg_pos] inv_of_one_lt_inv
#align neg_of_neg_pos neg_of_neg_pos
alias ⟨_, one_lt_inv_of_inv⟩ := Left.one_lt_inv_iff
#align one_lt_inv_of_inv one_lt_inv_of_inv
attribute [to_additive neg_pos_of_neg] one_lt_inv_of_inv
#align neg_pos_of_neg neg_pos_of_neg
alias ⟨mul_le_of_le_inv_mul, _⟩ := le_inv_mul_iff_mul_le
#align mul_le_of_le_inv_mul mul_le_of_le_inv_mul
attribute [to_additive] mul_le_of_le_inv_mul
#align add_le_of_le_neg_add add_le_of_le_neg_add
alias ⟨_, le_inv_mul_of_mul_le⟩ := le_inv_mul_iff_mul_le
#align le_inv_mul_of_mul_le le_inv_mul_of_mul_le
attribute [to_additive] le_inv_mul_of_mul_le
#align le_neg_add_of_add_le le_neg_add_of_add_le
alias ⟨_, inv_mul_le_of_le_mul⟩ := inv_mul_le_iff_le_mul
#align inv_mul_le_of_le_mul inv_mul_le_of_le_mul
-- Porting note: was `inv_mul_le_iff_le_mul`
attribute [to_additive] inv_mul_le_of_le_mul
alias ⟨mul_lt_of_lt_inv_mul, _⟩ := lt_inv_mul_iff_mul_lt
#align mul_lt_of_lt_inv_mul mul_lt_of_lt_inv_mul
attribute [to_additive] mul_lt_of_lt_inv_mul
#align add_lt_of_lt_neg_add add_lt_of_lt_neg_add
alias ⟨_, lt_inv_mul_of_mul_lt⟩ := lt_inv_mul_iff_mul_lt
#align lt_inv_mul_of_mul_lt lt_inv_mul_of_mul_lt
attribute [to_additive] lt_inv_mul_of_mul_lt
#align lt_neg_add_of_add_lt lt_neg_add_of_add_lt
alias ⟨lt_mul_of_inv_mul_lt, inv_mul_lt_of_lt_mul⟩ := inv_mul_lt_iff_lt_mul
#align lt_mul_of_inv_mul_lt lt_mul_of_inv_mul_lt
#align inv_mul_lt_of_lt_mul inv_mul_lt_of_lt_mul
attribute [to_additive] lt_mul_of_inv_mul_lt
#align lt_add_of_neg_add_lt lt_add_of_neg_add_lt
attribute [to_additive] inv_mul_lt_of_lt_mul
#align neg_add_lt_of_lt_add neg_add_lt_of_lt_add
alias lt_mul_of_inv_mul_lt_left := lt_mul_of_inv_mul_lt
#align lt_mul_of_inv_mul_lt_left lt_mul_of_inv_mul_lt_left
attribute [to_additive] lt_mul_of_inv_mul_lt_left
#align lt_add_of_neg_add_lt_left lt_add_of_neg_add_lt_left
alias inv_le_one' := Left.inv_le_one_iff
#align inv_le_one' inv_le_one'
attribute [to_additive neg_nonpos] inv_le_one'
#align neg_nonpos neg_nonpos
alias one_le_inv' := Left.one_le_inv_iff
#align one_le_inv' one_le_inv'
attribute [to_additive neg_nonneg] one_le_inv'
#align neg_nonneg neg_nonneg
alias one_lt_inv' := Left.one_lt_inv_iff
#align one_lt_inv' one_lt_inv'
attribute [to_additive neg_pos] one_lt_inv'
#align neg_pos neg_pos
alias OrderedCommGroup.mul_lt_mul_left' := mul_lt_mul_left'
#align ordered_comm_group.mul_lt_mul_left' OrderedCommGroup.mul_lt_mul_left'
attribute [to_additive OrderedAddCommGroup.add_lt_add_left] OrderedCommGroup.mul_lt_mul_left'
#align ordered_add_comm_group.add_lt_add_left OrderedAddCommGroup.add_lt_add_left
alias OrderedCommGroup.le_of_mul_le_mul_left := le_of_mul_le_mul_left'
#align ordered_comm_group.le_of_mul_le_mul_left OrderedCommGroup.le_of_mul_le_mul_left
attribute [to_additive] OrderedCommGroup.le_of_mul_le_mul_left
#align ordered_add_comm_group.le_of_add_le_add_left OrderedAddCommGroup.le_of_add_le_add_left
alias OrderedCommGroup.lt_of_mul_lt_mul_left := lt_of_mul_lt_mul_left'
#align ordered_comm_group.lt_of_mul_lt_mul_left OrderedCommGroup.lt_of_mul_lt_mul_left
attribute [to_additive] OrderedCommGroup.lt_of_mul_lt_mul_left
#align ordered_add_comm_group.lt_of_add_lt_add_left OrderedAddCommGroup.lt_of_add_lt_add_left
-- Most of the lemmas that are primed in this section appear in ordered_field.
-- I (DT) did not try to minimise the assumptions.
section Group
variable [Group α] [LE α]
section Right
variable [CovariantClass α α (swap (· * ·)) (· ≤ ·)] {a b c d : α}
@[to_additive]
theorem div_le_div_iff_right (c : α) : a / c ≤ b / c ↔ a ≤ b := by
simpa only [div_eq_mul_inv] using mul_le_mul_iff_right _
#align div_le_div_iff_right div_le_div_iff_right
#align sub_le_sub_iff_right sub_le_sub_iff_right
@[to_additive (attr := gcongr) sub_le_sub_right]
theorem div_le_div_right' (h : a ≤ b) (c : α) : a / c ≤ b / c :=
(div_le_div_iff_right c).2 h
#align div_le_div_right' div_le_div_right'
#align sub_le_sub_right sub_le_sub_right
@[to_additive (attr := simp) sub_nonneg]
theorem one_le_div' : 1 ≤ a / b ↔ b ≤ a := by
rw [← mul_le_mul_iff_right b, one_mul, div_eq_mul_inv, inv_mul_cancel_right]
#align one_le_div' one_le_div'
#align sub_nonneg sub_nonneg
alias ⟨le_of_sub_nonneg, sub_nonneg_of_le⟩ := sub_nonneg
#align sub_nonneg_of_le sub_nonneg_of_le
#align le_of_sub_nonneg le_of_sub_nonneg
@[to_additive sub_nonpos]
theorem div_le_one' : a / b ≤ 1 ↔ a ≤ b := by
rw [← mul_le_mul_iff_right b, one_mul, div_eq_mul_inv, inv_mul_cancel_right]
#align div_le_one' div_le_one'
#align sub_nonpos sub_nonpos
alias ⟨le_of_sub_nonpos, sub_nonpos_of_le⟩ := sub_nonpos
#align sub_nonpos_of_le sub_nonpos_of_le
#align le_of_sub_nonpos le_of_sub_nonpos
@[to_additive]
theorem le_div_iff_mul_le : a ≤ c / b ↔ a * b ≤ c := by
rw [← mul_le_mul_iff_right b, div_eq_mul_inv, inv_mul_cancel_right]
#align le_div_iff_mul_le le_div_iff_mul_le
#align le_sub_iff_add_le le_sub_iff_add_le
alias ⟨add_le_of_le_sub_right, le_sub_right_of_add_le⟩ := le_sub_iff_add_le
#align add_le_of_le_sub_right add_le_of_le_sub_right
#align le_sub_right_of_add_le le_sub_right_of_add_le
@[to_additive]
theorem div_le_iff_le_mul : a / c ≤ b ↔ a ≤ b * c := by
rw [← mul_le_mul_iff_right c, div_eq_mul_inv, inv_mul_cancel_right]
#align div_le_iff_le_mul div_le_iff_le_mul
#align sub_le_iff_le_add sub_le_iff_le_add
-- Note: we intentionally don't have `@[simp]` for the additive version,
-- since the LHS simplifies with `tsub_le_iff_right`
attribute [simp] div_le_iff_le_mul
-- TODO: Should we get rid of `sub_le_iff_le_add` in favor of
-- (a renamed version of) `tsub_le_iff_right`?
-- see Note [lower instance priority]
instance (priority := 100) AddGroup.toHasOrderedSub {α : Type*} [AddGroup α] [LE α]
[CovariantClass α α (swap (· + ·)) (· ≤ ·)] : OrderedSub α :=
⟨fun _ _ _ => sub_le_iff_le_add⟩
#align add_group.to_has_ordered_sub AddGroup.toHasOrderedSub
end Right
section Left
variable [CovariantClass α α (· * ·) (· ≤ ·)]
variable [CovariantClass α α (swap (· * ·)) (· ≤ ·)] {a b c : α}
@[to_additive]
theorem div_le_div_iff_left (a : α) : a / b ≤ a / c ↔ c ≤ b := by
rw [div_eq_mul_inv, div_eq_mul_inv, ← mul_le_mul_iff_left a⁻¹, inv_mul_cancel_left,
inv_mul_cancel_left, inv_le_inv_iff]
#align div_le_div_iff_left div_le_div_iff_left
#align sub_le_sub_iff_left sub_le_sub_iff_left
@[to_additive (attr := gcongr) sub_le_sub_left]
theorem div_le_div_left' (h : a ≤ b) (c : α) : c / b ≤ c / a :=
(div_le_div_iff_left c).2 h
#align div_le_div_left' div_le_div_left'
#align sub_le_sub_left sub_le_sub_left
end Left
end Group
section CommGroup
variable [CommGroup α]
section LE
variable [LE α] [CovariantClass α α (· * ·) (· ≤ ·)] {a b c d : α}
@[to_additive sub_le_sub_iff]
theorem div_le_div_iff' : a / b ≤ c / d ↔ a * d ≤ c * b := by
simpa only [div_eq_mul_inv] using mul_inv_le_mul_inv_iff'
#align div_le_div_iff' div_le_div_iff'
#align sub_le_sub_iff sub_le_sub_iff
@[to_additive]
theorem le_div_iff_mul_le' : b ≤ c / a ↔ a * b ≤ c := by rw [le_div_iff_mul_le, mul_comm]
#align le_div_iff_mul_le' le_div_iff_mul_le'
#align le_sub_iff_add_le' le_sub_iff_add_le'
alias ⟨add_le_of_le_sub_left, le_sub_left_of_add_le⟩ := le_sub_iff_add_le'
#align le_sub_left_of_add_le le_sub_left_of_add_le
#align add_le_of_le_sub_left add_le_of_le_sub_left
@[to_additive]
theorem div_le_iff_le_mul' : a / b ≤ c ↔ a ≤ b * c := by rw [div_le_iff_le_mul, mul_comm]
#align div_le_iff_le_mul' div_le_iff_le_mul'
#align sub_le_iff_le_add' sub_le_iff_le_add'
alias ⟨le_add_of_sub_left_le, sub_left_le_of_le_add⟩ := sub_le_iff_le_add'
#align sub_left_le_of_le_add sub_left_le_of_le_add
#align le_add_of_sub_left_le le_add_of_sub_left_le
@[to_additive (attr := simp)]
theorem inv_le_div_iff_le_mul : b⁻¹ ≤ a / c ↔ c ≤ a * b :=
le_div_iff_mul_le.trans inv_mul_le_iff_le_mul'
#align inv_le_div_iff_le_mul inv_le_div_iff_le_mul
#align neg_le_sub_iff_le_add neg_le_sub_iff_le_add
@[to_additive]
theorem inv_le_div_iff_le_mul' : a⁻¹ ≤ b / c ↔ c ≤ a * b := by rw [inv_le_div_iff_le_mul, mul_comm]
#align inv_le_div_iff_le_mul' inv_le_div_iff_le_mul'
#align neg_le_sub_iff_le_add' neg_le_sub_iff_le_add'
@[to_additive]
theorem div_le_comm : a / b ≤ c ↔ a / c ≤ b :=
div_le_iff_le_mul'.trans div_le_iff_le_mul.symm
#align div_le_comm div_le_comm
#align sub_le_comm sub_le_comm
@[to_additive]
theorem le_div_comm : a ≤ b / c ↔ c ≤ b / a :=
le_div_iff_mul_le'.trans le_div_iff_mul_le.symm
#align le_div_comm le_div_comm
#align le_sub_comm le_sub_comm
end LE
section Preorder
variable [Preorder α] [CovariantClass α α (· * ·) (· ≤ ·)] {a b c d : α}
@[to_additive (attr := gcongr) sub_le_sub]
theorem div_le_div'' (hab : a ≤ b) (hcd : c ≤ d) : a / d ≤ b / c := by
rw [div_eq_mul_inv, div_eq_mul_inv, mul_comm b, mul_inv_le_inv_mul_iff, mul_comm]
exact mul_le_mul' hab hcd
#align div_le_div'' div_le_div''
#align sub_le_sub sub_le_sub
end Preorder
end CommGroup
-- Most of the lemmas that are primed in this section appear in ordered_field.
-- I (DT) did not try to minimise the assumptions.
section Group
variable [Group α] [LT α]
section Right
variable [CovariantClass α α (swap (· * ·)) (· < ·)] {a b c d : α}
@[to_additive (attr := simp)]
theorem div_lt_div_iff_right (c : α) : a / c < b / c ↔ a < b := by
simpa only [div_eq_mul_inv] using mul_lt_mul_iff_right _
#align div_lt_div_iff_right div_lt_div_iff_right
#align sub_lt_sub_iff_right sub_lt_sub_iff_right
@[to_additive (attr := gcongr) sub_lt_sub_right]
theorem div_lt_div_right' (h : a < b) (c : α) : a / c < b / c :=
(div_lt_div_iff_right c).2 h
#align div_lt_div_right' div_lt_div_right'
#align sub_lt_sub_right sub_lt_sub_right
@[to_additive (attr := simp) sub_pos]
theorem one_lt_div' : 1 < a / b ↔ b < a := by
rw [← mul_lt_mul_iff_right b, one_mul, div_eq_mul_inv, inv_mul_cancel_right]
#align one_lt_div' one_lt_div'
#align sub_pos sub_pos
alias ⟨lt_of_sub_pos, sub_pos_of_lt⟩ := sub_pos
#align lt_of_sub_pos lt_of_sub_pos
#align sub_pos_of_lt sub_pos_of_lt
@[to_additive (attr := simp) sub_neg "For `a - -b = a + b`, see `sub_neg_eq_add`."]
theorem div_lt_one' : a / b < 1 ↔ a < b := by
rw [← mul_lt_mul_iff_right b, one_mul, div_eq_mul_inv, inv_mul_cancel_right]
#align div_lt_one' div_lt_one'
#align sub_neg sub_neg
alias ⟨lt_of_sub_neg, sub_neg_of_lt⟩ := sub_neg
#align lt_of_sub_neg lt_of_sub_neg
#align sub_neg_of_lt sub_neg_of_lt
alias sub_lt_zero := sub_neg
#align sub_lt_zero sub_lt_zero
@[to_additive]
theorem lt_div_iff_mul_lt : a < c / b ↔ a * b < c := by
rw [← mul_lt_mul_iff_right b, div_eq_mul_inv, inv_mul_cancel_right]
#align lt_div_iff_mul_lt lt_div_iff_mul_lt
#align lt_sub_iff_add_lt lt_sub_iff_add_lt
alias ⟨add_lt_of_lt_sub_right, lt_sub_right_of_add_lt⟩ := lt_sub_iff_add_lt
#align add_lt_of_lt_sub_right add_lt_of_lt_sub_right
#align lt_sub_right_of_add_lt lt_sub_right_of_add_lt
@[to_additive]
theorem div_lt_iff_lt_mul : a / c < b ↔ a < b * c := by
rw [← mul_lt_mul_iff_right c, div_eq_mul_inv, inv_mul_cancel_right]
#align div_lt_iff_lt_mul div_lt_iff_lt_mul
#align sub_lt_iff_lt_add sub_lt_iff_lt_add
alias ⟨lt_add_of_sub_right_lt, sub_right_lt_of_lt_add⟩ := sub_lt_iff_lt_add
#align lt_add_of_sub_right_lt lt_add_of_sub_right_lt
#align sub_right_lt_of_lt_add sub_right_lt_of_lt_add
end Right
section Left
variable [CovariantClass α α (· * ·) (· < ·)] [CovariantClass α α (swap (· * ·)) (· < ·)]
{a b c : α}
@[to_additive (attr := simp)]
theorem div_lt_div_iff_left (a : α) : a / b < a / c ↔ c < b := by
rw [div_eq_mul_inv, div_eq_mul_inv, ← mul_lt_mul_iff_left a⁻¹, inv_mul_cancel_left,
inv_mul_cancel_left, inv_lt_inv_iff]
#align div_lt_div_iff_left div_lt_div_iff_left
#align sub_lt_sub_iff_left sub_lt_sub_iff_left
@[to_additive (attr := simp)]
theorem inv_lt_div_iff_lt_mul : a⁻¹ < b / c ↔ c < a * b := by
rw [div_eq_mul_inv, lt_mul_inv_iff_mul_lt, inv_mul_lt_iff_lt_mul]
#align inv_lt_div_iff_lt_mul inv_lt_div_iff_lt_mul
#align neg_lt_sub_iff_lt_add neg_lt_sub_iff_lt_add
@[to_additive (attr := gcongr) sub_lt_sub_left]
theorem div_lt_div_left' (h : a < b) (c : α) : c / b < c / a :=
(div_lt_div_iff_left c).2 h
#align div_lt_div_left' div_lt_div_left'
#align sub_lt_sub_left sub_lt_sub_left
end Left
end Group
section CommGroup
variable [CommGroup α]
section LT
variable [LT α] [CovariantClass α α (· * ·) (· < ·)] {a b c d : α}
@[to_additive sub_lt_sub_iff]
theorem div_lt_div_iff' : a / b < c / d ↔ a * d < c * b := by
simpa only [div_eq_mul_inv] using mul_inv_lt_mul_inv_iff'
#align div_lt_div_iff' div_lt_div_iff'
#align sub_lt_sub_iff sub_lt_sub_iff
@[to_additive]
theorem lt_div_iff_mul_lt' : b < c / a ↔ a * b < c := by rw [lt_div_iff_mul_lt, mul_comm]
#align lt_div_iff_mul_lt' lt_div_iff_mul_lt'
#align lt_sub_iff_add_lt' lt_sub_iff_add_lt'
alias ⟨add_lt_of_lt_sub_left, lt_sub_left_of_add_lt⟩ := lt_sub_iff_add_lt'
#align lt_sub_left_of_add_lt lt_sub_left_of_add_lt
#align add_lt_of_lt_sub_left add_lt_of_lt_sub_left
@[to_additive]
theorem div_lt_iff_lt_mul' : a / b < c ↔ a < b * c := by rw [div_lt_iff_lt_mul, mul_comm]
#align div_lt_iff_lt_mul' div_lt_iff_lt_mul'
#align sub_lt_iff_lt_add' sub_lt_iff_lt_add'
alias ⟨lt_add_of_sub_left_lt, sub_left_lt_of_lt_add⟩ := sub_lt_iff_lt_add'
#align lt_add_of_sub_left_lt lt_add_of_sub_left_lt
#align sub_left_lt_of_lt_add sub_left_lt_of_lt_add
@[to_additive]
theorem inv_lt_div_iff_lt_mul' : b⁻¹ < a / c ↔ c < a * b :=
lt_div_iff_mul_lt.trans inv_mul_lt_iff_lt_mul'
#align inv_lt_div_iff_lt_mul' inv_lt_div_iff_lt_mul'
#align neg_lt_sub_iff_lt_add' neg_lt_sub_iff_lt_add'
@[to_additive]
theorem div_lt_comm : a / b < c ↔ a / c < b :=
div_lt_iff_lt_mul'.trans div_lt_iff_lt_mul.symm
#align div_lt_comm div_lt_comm
#align sub_lt_comm sub_lt_comm
@[to_additive]
theorem lt_div_comm : a < b / c ↔ c < b / a :=
lt_div_iff_mul_lt'.trans lt_div_iff_mul_lt.symm
#align lt_div_comm lt_div_comm
#align lt_sub_comm lt_sub_comm
end LT
section Preorder
variable [Preorder α] [CovariantClass α α (· * ·) (· < ·)] {a b c d : α}
@[to_additive (attr := gcongr) sub_lt_sub]
theorem div_lt_div'' (hab : a < b) (hcd : c < d) : a / d < b / c := by
rw [div_eq_mul_inv, div_eq_mul_inv, mul_comm b, mul_inv_lt_inv_mul_iff, mul_comm]
exact mul_lt_mul_of_lt_of_lt hab hcd
#align div_lt_div'' div_lt_div''
#align sub_lt_sub sub_lt_sub
end Preorder
section LinearOrder
variable [LinearOrder α] [CovariantClass α α (· * ·) (· ≤ ·)] {a b c d : α}
@[to_additive] lemma lt_or_lt_of_div_lt_div : a / d < b / c → a < b ∨ c < d := by
contrapose!; exact fun h ↦ div_le_div'' h.1 h.2
end LinearOrder
end CommGroup
section LinearOrder
variable [Group α] [LinearOrder α]
@[to_additive (attr := simp) cmp_sub_zero]
theorem cmp_div_one' [CovariantClass α α (swap (· * ·)) (· ≤ ·)] (a b : α) :
cmp (a / b) 1 = cmp a b := by rw [← cmp_mul_right' _ _ b, one_mul, div_mul_cancel]
#align cmp_div_one' cmp_div_one'
#align cmp_sub_zero cmp_sub_zero
variable [CovariantClass α α (· * ·) (· ≤ ·)]
section VariableNames
variable {a b c : α}
@[to_additive]
theorem le_of_forall_one_lt_lt_mul (h : ∀ ε : α, 1 < ε → a < b * ε) : a ≤ b :=
le_of_not_lt fun h₁ => lt_irrefl a (by simpa using h _ (lt_inv_mul_iff_lt.mpr h₁))
#align le_of_forall_one_lt_lt_mul le_of_forall_one_lt_lt_mul
#align le_of_forall_pos_lt_add le_of_forall_pos_lt_add
@[to_additive]
theorem le_iff_forall_one_lt_lt_mul : a ≤ b ↔ ∀ ε, 1 < ε → a < b * ε :=
⟨fun h _ => lt_mul_of_le_of_one_lt h, le_of_forall_one_lt_lt_mul⟩
#align le_iff_forall_one_lt_lt_mul le_iff_forall_one_lt_lt_mul
#align le_iff_forall_pos_lt_add le_iff_forall_pos_lt_add
/- I (DT) introduced this lemma to prove (the additive version `sub_le_sub_flip` of)
`div_le_div_flip` below. Now I wonder what is the point of either of these lemmas... -/
@[to_additive]
theorem div_le_inv_mul_iff [CovariantClass α α (swap (· * ·)) (· ≤ ·)] :
a / b ≤ a⁻¹ * b ↔ a ≤ b := by
rw [div_eq_mul_inv, mul_inv_le_inv_mul_iff]
exact
⟨fun h => not_lt.mp fun k => not_lt.mpr h (mul_lt_mul_of_lt_of_lt k k), fun h =>
mul_le_mul' h h⟩
#align div_le_inv_mul_iff div_le_inv_mul_iff
#align sub_le_neg_add_iff sub_le_neg_add_iff
-- What is the point of this lemma? See comment about `div_le_inv_mul_iff` above.
-- Note: we intentionally don't have `@[simp]` for the additive version,
-- since the LHS simplifies with `tsub_le_iff_right`
@[to_additive]
| Mathlib/Algebra/Order/Group/Defs.lean | 1,077 | 1,080 | theorem div_le_div_flip {α : Type*} [CommGroup α] [LinearOrder α]
[CovariantClass α α (· * ·) (· ≤ ·)] {a b : α} : a / b ≤ b / a ↔ a ≤ b := by |
rw [div_eq_mul_inv b, mul_comm]
exact div_le_inv_mul_iff
|
/-
Copyright (c) 2018 Scott Morrison. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Scott Morrison, Markus Himmel, Bhavik Mehta, Andrew Yang, Emily Riehl
-/
import Mathlib.CategoryTheory.Limits.Shapes.WidePullbacks
import Mathlib.CategoryTheory.Limits.Shapes.BinaryProducts
#align_import category_theory.limits.shapes.pullbacks from "leanprover-community/mathlib"@"7316286ff2942aa14e540add9058c6b0aa1c8070"
/-!
# Pullbacks
We define a category `WalkingCospan` (resp. `WalkingSpan`), which is the index category
for the given data for a pullback (resp. pushout) diagram. Convenience methods `cospan f g`
and `span f g` construct functors from the walking (co)span, hitting the given morphisms.
We define `pullback f g` and `pushout f g` as limits and colimits of such functors.
## References
* [Stacks: Fibre products](https://stacks.math.columbia.edu/tag/001U)
* [Stacks: Pushouts](https://stacks.math.columbia.edu/tag/0025)
-/
noncomputable section
open CategoryTheory
universe w v₁ v₂ v u u₂
namespace CategoryTheory.Limits
-- attribute [local tidy] tactic.case_bash Porting note: no tidy, no local
/-- The type of objects for the diagram indexing a pullback, defined as a special case of
`WidePullbackShape`. -/
abbrev WalkingCospan : Type :=
WidePullbackShape WalkingPair
#align category_theory.limits.walking_cospan CategoryTheory.Limits.WalkingCospan
/-- The left point of the walking cospan. -/
@[match_pattern]
abbrev WalkingCospan.left : WalkingCospan :=
some WalkingPair.left
#align category_theory.limits.walking_cospan.left CategoryTheory.Limits.WalkingCospan.left
/-- The right point of the walking cospan. -/
@[match_pattern]
abbrev WalkingCospan.right : WalkingCospan :=
some WalkingPair.right
#align category_theory.limits.walking_cospan.right CategoryTheory.Limits.WalkingCospan.right
/-- The central point of the walking cospan. -/
@[match_pattern]
abbrev WalkingCospan.one : WalkingCospan :=
none
#align category_theory.limits.walking_cospan.one CategoryTheory.Limits.WalkingCospan.one
/-- The type of objects for the diagram indexing a pushout, defined as a special case of
`WidePushoutShape`.
-/
abbrev WalkingSpan : Type :=
WidePushoutShape WalkingPair
#align category_theory.limits.walking_span CategoryTheory.Limits.WalkingSpan
/-- The left point of the walking span. -/
@[match_pattern]
abbrev WalkingSpan.left : WalkingSpan :=
some WalkingPair.left
#align category_theory.limits.walking_span.left CategoryTheory.Limits.WalkingSpan.left
/-- The right point of the walking span. -/
@[match_pattern]
abbrev WalkingSpan.right : WalkingSpan :=
some WalkingPair.right
#align category_theory.limits.walking_span.right CategoryTheory.Limits.WalkingSpan.right
/-- The central point of the walking span. -/
@[match_pattern]
abbrev WalkingSpan.zero : WalkingSpan :=
none
#align category_theory.limits.walking_span.zero CategoryTheory.Limits.WalkingSpan.zero
namespace WalkingCospan
/-- The type of arrows for the diagram indexing a pullback. -/
abbrev Hom : WalkingCospan → WalkingCospan → Type :=
WidePullbackShape.Hom
#align category_theory.limits.walking_cospan.hom CategoryTheory.Limits.WalkingCospan.Hom
/-- The left arrow of the walking cospan. -/
@[match_pattern]
abbrev Hom.inl : left ⟶ one :=
WidePullbackShape.Hom.term _
#align category_theory.limits.walking_cospan.hom.inl CategoryTheory.Limits.WalkingCospan.Hom.inl
/-- The right arrow of the walking cospan. -/
@[match_pattern]
abbrev Hom.inr : right ⟶ one :=
WidePullbackShape.Hom.term _
#align category_theory.limits.walking_cospan.hom.inr CategoryTheory.Limits.WalkingCospan.Hom.inr
/-- The identity arrows of the walking cospan. -/
@[match_pattern]
abbrev Hom.id (X : WalkingCospan) : X ⟶ X :=
WidePullbackShape.Hom.id X
#align category_theory.limits.walking_cospan.hom.id CategoryTheory.Limits.WalkingCospan.Hom.id
instance (X Y : WalkingCospan) : Subsingleton (X ⟶ Y) := by
constructor; intros; simp [eq_iff_true_of_subsingleton]
end WalkingCospan
namespace WalkingSpan
/-- The type of arrows for the diagram indexing a pushout. -/
abbrev Hom : WalkingSpan → WalkingSpan → Type :=
WidePushoutShape.Hom
#align category_theory.limits.walking_span.hom CategoryTheory.Limits.WalkingSpan.Hom
/-- The left arrow of the walking span. -/
@[match_pattern]
abbrev Hom.fst : zero ⟶ left :=
WidePushoutShape.Hom.init _
#align category_theory.limits.walking_span.hom.fst CategoryTheory.Limits.WalkingSpan.Hom.fst
/-- The right arrow of the walking span. -/
@[match_pattern]
abbrev Hom.snd : zero ⟶ right :=
WidePushoutShape.Hom.init _
#align category_theory.limits.walking_span.hom.snd CategoryTheory.Limits.WalkingSpan.Hom.snd
/-- The identity arrows of the walking span. -/
@[match_pattern]
abbrev Hom.id (X : WalkingSpan) : X ⟶ X :=
WidePushoutShape.Hom.id X
#align category_theory.limits.walking_span.hom.id CategoryTheory.Limits.WalkingSpan.Hom.id
instance (X Y : WalkingSpan) : Subsingleton (X ⟶ Y) := by
constructor; intros a b; simp [eq_iff_true_of_subsingleton]
end WalkingSpan
open WalkingSpan.Hom WalkingCospan.Hom WidePullbackShape.Hom WidePushoutShape.Hom
variable {C : Type u} [Category.{v} C]
/-- To construct an isomorphism of cones over the walking cospan,
it suffices to construct an isomorphism
of the cone points and check it commutes with the legs to `left` and `right`. -/
def WalkingCospan.ext {F : WalkingCospan ⥤ C} {s t : Cone F} (i : s.pt ≅ t.pt)
(w₁ : s.π.app WalkingCospan.left = i.hom ≫ t.π.app WalkingCospan.left)
(w₂ : s.π.app WalkingCospan.right = i.hom ≫ t.π.app WalkingCospan.right) : s ≅ t := by
apply Cones.ext i _
rintro (⟨⟩ | ⟨⟨⟩⟩)
· have h₁ := s.π.naturality WalkingCospan.Hom.inl
dsimp at h₁
simp only [Category.id_comp] at h₁
have h₂ := t.π.naturality WalkingCospan.Hom.inl
dsimp at h₂
simp only [Category.id_comp] at h₂
simp_rw [h₂, ← Category.assoc, ← w₁, ← h₁]
· exact w₁
· exact w₂
#align category_theory.limits.walking_cospan.ext CategoryTheory.Limits.WalkingCospan.ext
/-- To construct an isomorphism of cocones over the walking span,
it suffices to construct an isomorphism
of the cocone points and check it commutes with the legs from `left` and `right`. -/
def WalkingSpan.ext {F : WalkingSpan ⥤ C} {s t : Cocone F} (i : s.pt ≅ t.pt)
(w₁ : s.ι.app WalkingCospan.left ≫ i.hom = t.ι.app WalkingCospan.left)
(w₂ : s.ι.app WalkingCospan.right ≫ i.hom = t.ι.app WalkingCospan.right) : s ≅ t := by
apply Cocones.ext i _
rintro (⟨⟩ | ⟨⟨⟩⟩)
· have h₁ := s.ι.naturality WalkingSpan.Hom.fst
dsimp at h₁
simp only [Category.comp_id] at h₁
have h₂ := t.ι.naturality WalkingSpan.Hom.fst
dsimp at h₂
simp only [Category.comp_id] at h₂
simp_rw [← h₁, Category.assoc, w₁, h₂]
· exact w₁
· exact w₂
#align category_theory.limits.walking_span.ext CategoryTheory.Limits.WalkingSpan.ext
/-- `cospan f g` is the functor from the walking cospan hitting `f` and `g`. -/
def cospan {X Y Z : C} (f : X ⟶ Z) (g : Y ⟶ Z) : WalkingCospan ⥤ C :=
WidePullbackShape.wideCospan Z (fun j => WalkingPair.casesOn j X Y) fun j =>
WalkingPair.casesOn j f g
#align category_theory.limits.cospan CategoryTheory.Limits.cospan
/-- `span f g` is the functor from the walking span hitting `f` and `g`. -/
def span {X Y Z : C} (f : X ⟶ Y) (g : X ⟶ Z) : WalkingSpan ⥤ C :=
WidePushoutShape.wideSpan X (fun j => WalkingPair.casesOn j Y Z) fun j =>
WalkingPair.casesOn j f g
#align category_theory.limits.span CategoryTheory.Limits.span
@[simp]
theorem cospan_left {X Y Z : C} (f : X ⟶ Z) (g : Y ⟶ Z) : (cospan f g).obj WalkingCospan.left = X :=
rfl
#align category_theory.limits.cospan_left CategoryTheory.Limits.cospan_left
@[simp]
theorem span_left {X Y Z : C} (f : X ⟶ Y) (g : X ⟶ Z) : (span f g).obj WalkingSpan.left = Y :=
rfl
#align category_theory.limits.span_left CategoryTheory.Limits.span_left
@[simp]
theorem cospan_right {X Y Z : C} (f : X ⟶ Z) (g : Y ⟶ Z) :
(cospan f g).obj WalkingCospan.right = Y := rfl
#align category_theory.limits.cospan_right CategoryTheory.Limits.cospan_right
@[simp]
theorem span_right {X Y Z : C} (f : X ⟶ Y) (g : X ⟶ Z) : (span f g).obj WalkingSpan.right = Z :=
rfl
#align category_theory.limits.span_right CategoryTheory.Limits.span_right
@[simp]
theorem cospan_one {X Y Z : C} (f : X ⟶ Z) (g : Y ⟶ Z) : (cospan f g).obj WalkingCospan.one = Z :=
rfl
#align category_theory.limits.cospan_one CategoryTheory.Limits.cospan_one
@[simp]
theorem span_zero {X Y Z : C} (f : X ⟶ Y) (g : X ⟶ Z) : (span f g).obj WalkingSpan.zero = X :=
rfl
#align category_theory.limits.span_zero CategoryTheory.Limits.span_zero
@[simp]
theorem cospan_map_inl {X Y Z : C} (f : X ⟶ Z) (g : Y ⟶ Z) :
(cospan f g).map WalkingCospan.Hom.inl = f := rfl
#align category_theory.limits.cospan_map_inl CategoryTheory.Limits.cospan_map_inl
@[simp]
theorem span_map_fst {X Y Z : C} (f : X ⟶ Y) (g : X ⟶ Z) : (span f g).map WalkingSpan.Hom.fst = f :=
rfl
#align category_theory.limits.span_map_fst CategoryTheory.Limits.span_map_fst
@[simp]
theorem cospan_map_inr {X Y Z : C} (f : X ⟶ Z) (g : Y ⟶ Z) :
(cospan f g).map WalkingCospan.Hom.inr = g := rfl
#align category_theory.limits.cospan_map_inr CategoryTheory.Limits.cospan_map_inr
@[simp]
theorem span_map_snd {X Y Z : C} (f : X ⟶ Y) (g : X ⟶ Z) : (span f g).map WalkingSpan.Hom.snd = g :=
rfl
#align category_theory.limits.span_map_snd CategoryTheory.Limits.span_map_snd
theorem cospan_map_id {X Y Z : C} (f : X ⟶ Z) (g : Y ⟶ Z) (w : WalkingCospan) :
(cospan f g).map (WalkingCospan.Hom.id w) = 𝟙 _ := rfl
#align category_theory.limits.cospan_map_id CategoryTheory.Limits.cospan_map_id
theorem span_map_id {X Y Z : C} (f : X ⟶ Y) (g : X ⟶ Z) (w : WalkingSpan) :
(span f g).map (WalkingSpan.Hom.id w) = 𝟙 _ := rfl
#align category_theory.limits.span_map_id CategoryTheory.Limits.span_map_id
/-- Every diagram indexing a pullback is naturally isomorphic (actually, equal) to a `cospan` -/
-- @[simps (config := { rhsMd := semireducible })] Porting note: no semireducible
@[simps!]
def diagramIsoCospan (F : WalkingCospan ⥤ C) : F ≅ cospan (F.map inl) (F.map inr) :=
NatIso.ofComponents
(fun j => eqToIso (by rcases j with (⟨⟩ | ⟨⟨⟩⟩) <;> rfl))
(by rintro (⟨⟩ | ⟨⟨⟩⟩) (⟨⟩ | ⟨⟨⟩⟩) f <;> cases f <;> dsimp <;> simp)
#align category_theory.limits.diagram_iso_cospan CategoryTheory.Limits.diagramIsoCospan
/-- Every diagram indexing a pushout is naturally isomorphic (actually, equal) to a `span` -/
-- @[simps (config := { rhsMd := semireducible })] Porting note: no semireducible
@[simps!]
def diagramIsoSpan (F : WalkingSpan ⥤ C) : F ≅ span (F.map fst) (F.map snd) :=
NatIso.ofComponents
(fun j => eqToIso (by rcases j with (⟨⟩ | ⟨⟨⟩⟩) <;> rfl))
(by rintro (⟨⟩ | ⟨⟨⟩⟩) (⟨⟩ | ⟨⟨⟩⟩) f <;> cases f <;> dsimp <;> simp)
#align category_theory.limits.diagram_iso_span CategoryTheory.Limits.diagramIsoSpan
variable {D : Type u₂} [Category.{v₂} D]
/-- A functor applied to a cospan is a cospan. -/
def cospanCompIso (F : C ⥤ D) {X Y Z : C} (f : X ⟶ Z) (g : Y ⟶ Z) :
cospan f g ⋙ F ≅ cospan (F.map f) (F.map g) :=
NatIso.ofComponents (by rintro (⟨⟩ | ⟨⟨⟩⟩) <;> exact Iso.refl _)
(by rintro (⟨⟩ | ⟨⟨⟩⟩) (⟨⟩ | ⟨⟨⟩⟩) f <;> cases f <;> dsimp <;> simp)
#align category_theory.limits.cospan_comp_iso CategoryTheory.Limits.cospanCompIso
section
variable (F : C ⥤ D) {X Y Z : C} (f : X ⟶ Z) (g : Y ⟶ Z)
@[simp]
theorem cospanCompIso_app_left : (cospanCompIso F f g).app WalkingCospan.left = Iso.refl _ := rfl
#align category_theory.limits.cospan_comp_iso_app_left CategoryTheory.Limits.cospanCompIso_app_left
@[simp]
theorem cospanCompIso_app_right : (cospanCompIso F f g).app WalkingCospan.right = Iso.refl _ :=
rfl
#align category_theory.limits.cospan_comp_iso_app_right CategoryTheory.Limits.cospanCompIso_app_right
@[simp]
theorem cospanCompIso_app_one : (cospanCompIso F f g).app WalkingCospan.one = Iso.refl _ := rfl
#align category_theory.limits.cospan_comp_iso_app_one CategoryTheory.Limits.cospanCompIso_app_one
@[simp]
theorem cospanCompIso_hom_app_left : (cospanCompIso F f g).hom.app WalkingCospan.left = 𝟙 _ :=
rfl
#align category_theory.limits.cospan_comp_iso_hom_app_left CategoryTheory.Limits.cospanCompIso_hom_app_left
@[simp]
theorem cospanCompIso_hom_app_right : (cospanCompIso F f g).hom.app WalkingCospan.right = 𝟙 _ :=
rfl
#align category_theory.limits.cospan_comp_iso_hom_app_right CategoryTheory.Limits.cospanCompIso_hom_app_right
@[simp]
theorem cospanCompIso_hom_app_one : (cospanCompIso F f g).hom.app WalkingCospan.one = 𝟙 _ := rfl
#align category_theory.limits.cospan_comp_iso_hom_app_one CategoryTheory.Limits.cospanCompIso_hom_app_one
@[simp]
theorem cospanCompIso_inv_app_left : (cospanCompIso F f g).inv.app WalkingCospan.left = 𝟙 _ :=
rfl
#align category_theory.limits.cospan_comp_iso_inv_app_left CategoryTheory.Limits.cospanCompIso_inv_app_left
@[simp]
theorem cospanCompIso_inv_app_right : (cospanCompIso F f g).inv.app WalkingCospan.right = 𝟙 _ :=
rfl
#align category_theory.limits.cospan_comp_iso_inv_app_right CategoryTheory.Limits.cospanCompIso_inv_app_right
@[simp]
theorem cospanCompIso_inv_app_one : (cospanCompIso F f g).inv.app WalkingCospan.one = 𝟙 _ := rfl
#align category_theory.limits.cospan_comp_iso_inv_app_one CategoryTheory.Limits.cospanCompIso_inv_app_one
end
/-- A functor applied to a span is a span. -/
def spanCompIso (F : C ⥤ D) {X Y Z : C} (f : X ⟶ Y) (g : X ⟶ Z) :
span f g ⋙ F ≅ span (F.map f) (F.map g) :=
NatIso.ofComponents (by rintro (⟨⟩ | ⟨⟨⟩⟩) <;> exact Iso.refl _)
(by rintro (⟨⟩ | ⟨⟨⟩⟩) (⟨⟩ | ⟨⟨⟩⟩) f <;> cases f <;> dsimp <;> simp)
#align category_theory.limits.span_comp_iso CategoryTheory.Limits.spanCompIso
section
variable (F : C ⥤ D) {X Y Z : C} (f : X ⟶ Y) (g : X ⟶ Z)
@[simp]
theorem spanCompIso_app_left : (spanCompIso F f g).app WalkingSpan.left = Iso.refl _ := rfl
#align category_theory.limits.span_comp_iso_app_left CategoryTheory.Limits.spanCompIso_app_left
@[simp]
theorem spanCompIso_app_right : (spanCompIso F f g).app WalkingSpan.right = Iso.refl _ := rfl
#align category_theory.limits.span_comp_iso_app_right CategoryTheory.Limits.spanCompIso_app_right
@[simp]
theorem spanCompIso_app_zero : (spanCompIso F f g).app WalkingSpan.zero = Iso.refl _ := rfl
#align category_theory.limits.span_comp_iso_app_zero CategoryTheory.Limits.spanCompIso_app_zero
@[simp]
theorem spanCompIso_hom_app_left : (spanCompIso F f g).hom.app WalkingSpan.left = 𝟙 _ := rfl
#align category_theory.limits.span_comp_iso_hom_app_left CategoryTheory.Limits.spanCompIso_hom_app_left
@[simp]
theorem spanCompIso_hom_app_right : (spanCompIso F f g).hom.app WalkingSpan.right = 𝟙 _ := rfl
#align category_theory.limits.span_comp_iso_hom_app_right CategoryTheory.Limits.spanCompIso_hom_app_right
@[simp]
theorem spanCompIso_hom_app_zero : (spanCompIso F f g).hom.app WalkingSpan.zero = 𝟙 _ := rfl
#align category_theory.limits.span_comp_iso_hom_app_zero CategoryTheory.Limits.spanCompIso_hom_app_zero
@[simp]
theorem spanCompIso_inv_app_left : (spanCompIso F f g).inv.app WalkingSpan.left = 𝟙 _ := rfl
#align category_theory.limits.span_comp_iso_inv_app_left CategoryTheory.Limits.spanCompIso_inv_app_left
@[simp]
theorem spanCompIso_inv_app_right : (spanCompIso F f g).inv.app WalkingSpan.right = 𝟙 _ := rfl
#align category_theory.limits.span_comp_iso_inv_app_right CategoryTheory.Limits.spanCompIso_inv_app_right
@[simp]
theorem spanCompIso_inv_app_zero : (spanCompIso F f g).inv.app WalkingSpan.zero = 𝟙 _ := rfl
#align category_theory.limits.span_comp_iso_inv_app_zero CategoryTheory.Limits.spanCompIso_inv_app_zero
end
section
variable {X Y Z X' Y' Z' : C} (iX : X ≅ X') (iY : Y ≅ Y') (iZ : Z ≅ Z')
section
variable {f : X ⟶ Z} {g : Y ⟶ Z} {f' : X' ⟶ Z'} {g' : Y' ⟶ Z'}
/-- Construct an isomorphism of cospans from components. -/
def cospanExt (wf : iX.hom ≫ f' = f ≫ iZ.hom) (wg : iY.hom ≫ g' = g ≫ iZ.hom) :
cospan f g ≅ cospan f' g' :=
NatIso.ofComponents
(by rintro (⟨⟩ | ⟨⟨⟩⟩); exacts [iZ, iX, iY])
(by rintro (⟨⟩ | ⟨⟨⟩⟩) (⟨⟩ | ⟨⟨⟩⟩) f <;> cases f <;> dsimp <;> simp [wf, wg])
#align category_theory.limits.cospan_ext CategoryTheory.Limits.cospanExt
variable (wf : iX.hom ≫ f' = f ≫ iZ.hom) (wg : iY.hom ≫ g' = g ≫ iZ.hom)
@[simp]
theorem cospanExt_app_left : (cospanExt iX iY iZ wf wg).app WalkingCospan.left = iX := by
dsimp [cospanExt]
#align category_theory.limits.cospan_ext_app_left CategoryTheory.Limits.cospanExt_app_left
@[simp]
theorem cospanExt_app_right : (cospanExt iX iY iZ wf wg).app WalkingCospan.right = iY := by
dsimp [cospanExt]
#align category_theory.limits.cospan_ext_app_right CategoryTheory.Limits.cospanExt_app_right
@[simp]
theorem cospanExt_app_one : (cospanExt iX iY iZ wf wg).app WalkingCospan.one = iZ := by
dsimp [cospanExt]
#align category_theory.limits.cospan_ext_app_one CategoryTheory.Limits.cospanExt_app_one
@[simp]
theorem cospanExt_hom_app_left :
(cospanExt iX iY iZ wf wg).hom.app WalkingCospan.left = iX.hom := by dsimp [cospanExt]
#align category_theory.limits.cospan_ext_hom_app_left CategoryTheory.Limits.cospanExt_hom_app_left
@[simp]
theorem cospanExt_hom_app_right :
(cospanExt iX iY iZ wf wg).hom.app WalkingCospan.right = iY.hom := by dsimp [cospanExt]
#align category_theory.limits.cospan_ext_hom_app_right CategoryTheory.Limits.cospanExt_hom_app_right
@[simp]
theorem cospanExt_hom_app_one : (cospanExt iX iY iZ wf wg).hom.app WalkingCospan.one = iZ.hom := by
dsimp [cospanExt]
#align category_theory.limits.cospan_ext_hom_app_one CategoryTheory.Limits.cospanExt_hom_app_one
@[simp]
theorem cospanExt_inv_app_left :
(cospanExt iX iY iZ wf wg).inv.app WalkingCospan.left = iX.inv := by dsimp [cospanExt]
#align category_theory.limits.cospan_ext_inv_app_left CategoryTheory.Limits.cospanExt_inv_app_left
@[simp]
theorem cospanExt_inv_app_right :
(cospanExt iX iY iZ wf wg).inv.app WalkingCospan.right = iY.inv := by dsimp [cospanExt]
#align category_theory.limits.cospan_ext_inv_app_right CategoryTheory.Limits.cospanExt_inv_app_right
@[simp]
theorem cospanExt_inv_app_one : (cospanExt iX iY iZ wf wg).inv.app WalkingCospan.one = iZ.inv := by
dsimp [cospanExt]
#align category_theory.limits.cospan_ext_inv_app_one CategoryTheory.Limits.cospanExt_inv_app_one
end
section
variable {f : X ⟶ Y} {g : X ⟶ Z} {f' : X' ⟶ Y'} {g' : X' ⟶ Z'}
/-- Construct an isomorphism of spans from components. -/
def spanExt (wf : iX.hom ≫ f' = f ≫ iY.hom) (wg : iX.hom ≫ g' = g ≫ iZ.hom) :
span f g ≅ span f' g' :=
NatIso.ofComponents (by rintro (⟨⟩ | ⟨⟨⟩⟩); exacts [iX, iY, iZ])
(by rintro (⟨⟩ | ⟨⟨⟩⟩) (⟨⟩ | ⟨⟨⟩⟩) f <;> cases f <;> dsimp <;> simp [wf, wg])
#align category_theory.limits.span_ext CategoryTheory.Limits.spanExt
variable (wf : iX.hom ≫ f' = f ≫ iY.hom) (wg : iX.hom ≫ g' = g ≫ iZ.hom)
@[simp]
theorem spanExt_app_left : (spanExt iX iY iZ wf wg).app WalkingSpan.left = iY := by
dsimp [spanExt]
#align category_theory.limits.span_ext_app_left CategoryTheory.Limits.spanExt_app_left
@[simp]
theorem spanExt_app_right : (spanExt iX iY iZ wf wg).app WalkingSpan.right = iZ := by
dsimp [spanExt]
#align category_theory.limits.span_ext_app_right CategoryTheory.Limits.spanExt_app_right
@[simp]
theorem spanExt_app_one : (spanExt iX iY iZ wf wg).app WalkingSpan.zero = iX := by
dsimp [spanExt]
#align category_theory.limits.span_ext_app_one CategoryTheory.Limits.spanExt_app_one
@[simp]
theorem spanExt_hom_app_left : (spanExt iX iY iZ wf wg).hom.app WalkingSpan.left = iY.hom := by
dsimp [spanExt]
#align category_theory.limits.span_ext_hom_app_left CategoryTheory.Limits.spanExt_hom_app_left
@[simp]
theorem spanExt_hom_app_right : (spanExt iX iY iZ wf wg).hom.app WalkingSpan.right = iZ.hom := by
dsimp [spanExt]
#align category_theory.limits.span_ext_hom_app_right CategoryTheory.Limits.spanExt_hom_app_right
@[simp]
theorem spanExt_hom_app_zero : (spanExt iX iY iZ wf wg).hom.app WalkingSpan.zero = iX.hom := by
dsimp [spanExt]
#align category_theory.limits.span_ext_hom_app_zero CategoryTheory.Limits.spanExt_hom_app_zero
@[simp]
theorem spanExt_inv_app_left : (spanExt iX iY iZ wf wg).inv.app WalkingSpan.left = iY.inv := by
dsimp [spanExt]
#align category_theory.limits.span_ext_inv_app_left CategoryTheory.Limits.spanExt_inv_app_left
@[simp]
theorem spanExt_inv_app_right : (spanExt iX iY iZ wf wg).inv.app WalkingSpan.right = iZ.inv := by
dsimp [spanExt]
#align category_theory.limits.span_ext_inv_app_right CategoryTheory.Limits.spanExt_inv_app_right
@[simp]
theorem spanExt_inv_app_zero : (spanExt iX iY iZ wf wg).inv.app WalkingSpan.zero = iX.inv := by
dsimp [spanExt]
#align category_theory.limits.span_ext_inv_app_zero CategoryTheory.Limits.spanExt_inv_app_zero
end
end
variable {W X Y Z : C}
/-- A pullback cone is just a cone on the cospan formed by two morphisms `f : X ⟶ Z` and
`g : Y ⟶ Z`. -/
abbrev PullbackCone (f : X ⟶ Z) (g : Y ⟶ Z) :=
Cone (cospan f g)
#align category_theory.limits.pullback_cone CategoryTheory.Limits.PullbackCone
namespace PullbackCone
variable {f : X ⟶ Z} {g : Y ⟶ Z}
/-- The first projection of a pullback cone. -/
abbrev fst (t : PullbackCone f g) : t.pt ⟶ X :=
t.π.app WalkingCospan.left
#align category_theory.limits.pullback_cone.fst CategoryTheory.Limits.PullbackCone.fst
/-- The second projection of a pullback cone. -/
abbrev snd (t : PullbackCone f g) : t.pt ⟶ Y :=
t.π.app WalkingCospan.right
#align category_theory.limits.pullback_cone.snd CategoryTheory.Limits.PullbackCone.snd
@[simp]
theorem π_app_left (c : PullbackCone f g) : c.π.app WalkingCospan.left = c.fst := rfl
#align category_theory.limits.pullback_cone.π_app_left CategoryTheory.Limits.PullbackCone.π_app_left
@[simp]
theorem π_app_right (c : PullbackCone f g) : c.π.app WalkingCospan.right = c.snd := rfl
#align category_theory.limits.pullback_cone.π_app_right CategoryTheory.Limits.PullbackCone.π_app_right
@[simp]
theorem condition_one (t : PullbackCone f g) : t.π.app WalkingCospan.one = t.fst ≫ f := by
have w := t.π.naturality WalkingCospan.Hom.inl
dsimp at w; simpa using w
#align category_theory.limits.pullback_cone.condition_one CategoryTheory.Limits.PullbackCone.condition_one
/-- This is a slightly more convenient method to verify that a pullback cone is a limit cone. It
only asks for a proof of facts that carry any mathematical content -/
def isLimitAux (t : PullbackCone f g) (lift : ∀ s : PullbackCone f g, s.pt ⟶ t.pt)
(fac_left : ∀ s : PullbackCone f g, lift s ≫ t.fst = s.fst)
(fac_right : ∀ s : PullbackCone f g, lift s ≫ t.snd = s.snd)
(uniq : ∀ (s : PullbackCone f g) (m : s.pt ⟶ t.pt)
(_ : ∀ j : WalkingCospan, m ≫ t.π.app j = s.π.app j), m = lift s) : IsLimit t :=
{ lift
fac := fun s j => Option.casesOn j (by
rw [← s.w inl, ← t.w inl, ← Category.assoc]
congr
exact fac_left s)
fun j' => WalkingPair.casesOn j' (fac_left s) (fac_right s)
uniq := uniq }
#align category_theory.limits.pullback_cone.is_limit_aux CategoryTheory.Limits.PullbackCone.isLimitAux
/-- This is another convenient method to verify that a pullback cone is a limit cone. It
only asks for a proof of facts that carry any mathematical content, and allows access to the
same `s` for all parts. -/
def isLimitAux' (t : PullbackCone f g)
(create :
∀ s : PullbackCone f g,
{ l //
l ≫ t.fst = s.fst ∧
l ≫ t.snd = s.snd ∧ ∀ {m}, m ≫ t.fst = s.fst → m ≫ t.snd = s.snd → m = l }) :
Limits.IsLimit t :=
PullbackCone.isLimitAux t (fun s => (create s).1) (fun s => (create s).2.1)
(fun s => (create s).2.2.1) fun s _ w =>
(create s).2.2.2 (w WalkingCospan.left) (w WalkingCospan.right)
#align category_theory.limits.pullback_cone.is_limit_aux' CategoryTheory.Limits.PullbackCone.isLimitAux'
/-- A pullback cone on `f` and `g` is determined by morphisms `fst : W ⟶ X` and `snd : W ⟶ Y`
such that `fst ≫ f = snd ≫ g`. -/
@[simps]
def mk {W : C} (fst : W ⟶ X) (snd : W ⟶ Y) (eq : fst ≫ f = snd ≫ g) : PullbackCone f g where
pt := W
π := { app := fun j => Option.casesOn j (fst ≫ f) fun j' => WalkingPair.casesOn j' fst snd
naturality := by rintro (⟨⟩ | ⟨⟨⟩⟩) (⟨⟩ | ⟨⟨⟩⟩) j <;> cases j <;> dsimp <;> simp [eq] }
#align category_theory.limits.pullback_cone.mk CategoryTheory.Limits.PullbackCone.mk
@[simp]
theorem mk_π_app_left {W : C} (fst : W ⟶ X) (snd : W ⟶ Y) (eq : fst ≫ f = snd ≫ g) :
(mk fst snd eq).π.app WalkingCospan.left = fst := rfl
#align category_theory.limits.pullback_cone.mk_π_app_left CategoryTheory.Limits.PullbackCone.mk_π_app_left
@[simp]
theorem mk_π_app_right {W : C} (fst : W ⟶ X) (snd : W ⟶ Y) (eq : fst ≫ f = snd ≫ g) :
(mk fst snd eq).π.app WalkingCospan.right = snd := rfl
#align category_theory.limits.pullback_cone.mk_π_app_right CategoryTheory.Limits.PullbackCone.mk_π_app_right
@[simp]
theorem mk_π_app_one {W : C} (fst : W ⟶ X) (snd : W ⟶ Y) (eq : fst ≫ f = snd ≫ g) :
(mk fst snd eq).π.app WalkingCospan.one = fst ≫ f := rfl
#align category_theory.limits.pullback_cone.mk_π_app_one CategoryTheory.Limits.PullbackCone.mk_π_app_one
@[simp]
theorem mk_fst {W : C} (fst : W ⟶ X) (snd : W ⟶ Y) (eq : fst ≫ f = snd ≫ g) :
(mk fst snd eq).fst = fst := rfl
#align category_theory.limits.pullback_cone.mk_fst CategoryTheory.Limits.PullbackCone.mk_fst
@[simp]
theorem mk_snd {W : C} (fst : W ⟶ X) (snd : W ⟶ Y) (eq : fst ≫ f = snd ≫ g) :
(mk fst snd eq).snd = snd := rfl
#align category_theory.limits.pullback_cone.mk_snd CategoryTheory.Limits.PullbackCone.mk_snd
@[reassoc]
theorem condition (t : PullbackCone f g) : fst t ≫ f = snd t ≫ g :=
(t.w inl).trans (t.w inr).symm
#align category_theory.limits.pullback_cone.condition CategoryTheory.Limits.PullbackCone.condition
/-- To check whether a morphism is equalized by the maps of a pullback cone, it suffices to check
it for `fst t` and `snd t` -/
theorem equalizer_ext (t : PullbackCone f g) {W : C} {k l : W ⟶ t.pt} (h₀ : k ≫ fst t = l ≫ fst t)
(h₁ : k ≫ snd t = l ≫ snd t) : ∀ j : WalkingCospan, k ≫ t.π.app j = l ≫ t.π.app j
| some WalkingPair.left => h₀
| some WalkingPair.right => h₁
| none => by rw [← t.w inl, reassoc_of% h₀]
#align category_theory.limits.pullback_cone.equalizer_ext CategoryTheory.Limits.PullbackCone.equalizer_ext
theorem IsLimit.hom_ext {t : PullbackCone f g} (ht : IsLimit t) {W : C} {k l : W ⟶ t.pt}
(h₀ : k ≫ fst t = l ≫ fst t) (h₁ : k ≫ snd t = l ≫ snd t) : k = l :=
ht.hom_ext <| equalizer_ext _ h₀ h₁
#align category_theory.limits.pullback_cone.is_limit.hom_ext CategoryTheory.Limits.PullbackCone.IsLimit.hom_ext
theorem mono_snd_of_is_pullback_of_mono {t : PullbackCone f g} (ht : IsLimit t) [Mono f] :
Mono t.snd := by
refine ⟨fun {W} h k i => IsLimit.hom_ext ht ?_ i⟩
rw [← cancel_mono f, Category.assoc, Category.assoc, condition]
have := congrArg (· ≫ g) i; dsimp at this
rwa [Category.assoc, Category.assoc] at this
#align category_theory.limits.pullback_cone.mono_snd_of_is_pullback_of_mono CategoryTheory.Limits.PullbackCone.mono_snd_of_is_pullback_of_mono
theorem mono_fst_of_is_pullback_of_mono {t : PullbackCone f g} (ht : IsLimit t) [Mono g] :
Mono t.fst := by
refine ⟨fun {W} h k i => IsLimit.hom_ext ht i ?_⟩
rw [← cancel_mono g, Category.assoc, Category.assoc, ← condition]
have := congrArg (· ≫ f) i; dsimp at this
rwa [Category.assoc, Category.assoc] at this
#align category_theory.limits.pullback_cone.mono_fst_of_is_pullback_of_mono CategoryTheory.Limits.PullbackCone.mono_fst_of_is_pullback_of_mono
/-- To construct an isomorphism of pullback cones, it suffices to construct an isomorphism
of the cone points and check it commutes with `fst` and `snd`. -/
def ext {s t : PullbackCone f g} (i : s.pt ≅ t.pt) (w₁ : s.fst = i.hom ≫ t.fst)
(w₂ : s.snd = i.hom ≫ t.snd) : s ≅ t :=
WalkingCospan.ext i w₁ w₂
#align category_theory.limits.pullback_cone.ext CategoryTheory.Limits.PullbackCone.ext
-- Porting note: `IsLimit.lift` and the two following simp lemmas were introduced to ease the port
/-- If `t` is a limit pullback cone over `f` and `g` and `h : W ⟶ X` and `k : W ⟶ Y` are such that
`h ≫ f = k ≫ g`, then we get `l : W ⟶ t.pt`, which satisfies `l ≫ fst t = h`
and `l ≫ snd t = k`, see `IsLimit.lift_fst` and `IsLimit.lift_snd`. -/
def IsLimit.lift {t : PullbackCone f g} (ht : IsLimit t) {W : C} (h : W ⟶ X) (k : W ⟶ Y)
(w : h ≫ f = k ≫ g) : W ⟶ t.pt :=
ht.lift <| PullbackCone.mk _ _ w
@[reassoc (attr := simp)]
lemma IsLimit.lift_fst {t : PullbackCone f g} (ht : IsLimit t) {W : C} (h : W ⟶ X) (k : W ⟶ Y)
(w : h ≫ f = k ≫ g) : IsLimit.lift ht h k w ≫ fst t = h := ht.fac _ _
@[reassoc (attr := simp)]
lemma IsLimit.lift_snd {t : PullbackCone f g} (ht : IsLimit t) {W : C} (h : W ⟶ X) (k : W ⟶ Y)
(w : h ≫ f = k ≫ g) : IsLimit.lift ht h k w ≫ snd t = k := ht.fac _ _
/-- If `t` is a limit pullback cone over `f` and `g` and `h : W ⟶ X` and `k : W ⟶ Y` are such that
`h ≫ f = k ≫ g`, then we have `l : W ⟶ t.pt` satisfying `l ≫ fst t = h` and `l ≫ snd t = k`.
-/
def IsLimit.lift' {t : PullbackCone f g} (ht : IsLimit t) {W : C} (h : W ⟶ X) (k : W ⟶ Y)
(w : h ≫ f = k ≫ g) : { l : W ⟶ t.pt // l ≫ fst t = h ∧ l ≫ snd t = k } :=
⟨IsLimit.lift ht h k w, by simp⟩
#align category_theory.limits.pullback_cone.is_limit.lift' CategoryTheory.Limits.PullbackCone.IsLimit.lift'
/-- This is a more convenient formulation to show that a `PullbackCone` constructed using
`PullbackCone.mk` is a limit cone.
-/
def IsLimit.mk {W : C} {fst : W ⟶ X} {snd : W ⟶ Y} (eq : fst ≫ f = snd ≫ g)
(lift : ∀ s : PullbackCone f g, s.pt ⟶ W)
(fac_left : ∀ s : PullbackCone f g, lift s ≫ fst = s.fst)
(fac_right : ∀ s : PullbackCone f g, lift s ≫ snd = s.snd)
(uniq :
∀ (s : PullbackCone f g) (m : s.pt ⟶ W) (_ : m ≫ fst = s.fst) (_ : m ≫ snd = s.snd),
m = lift s) :
IsLimit (mk fst snd eq) :=
isLimitAux _ lift fac_left fac_right fun s m w =>
uniq s m (w WalkingCospan.left) (w WalkingCospan.right)
#align category_theory.limits.pullback_cone.is_limit.mk CategoryTheory.Limits.PullbackCone.IsLimit.mk
section Flip
variable (t : PullbackCone f g)
/-- The pullback cone obtained by flipping `fst` and `snd`. -/
def flip : PullbackCone g f := PullbackCone.mk _ _ t.condition.symm
@[simp] lemma flip_pt : t.flip.pt = t.pt := rfl
@[simp] lemma flip_fst : t.flip.fst = t.snd := rfl
@[simp] lemma flip_snd : t.flip.snd = t.fst := rfl
/-- Flipping a pullback cone twice gives an isomorphic cone. -/
def flipFlipIso : t.flip.flip ≅ t := PullbackCone.ext (Iso.refl _) (by simp) (by simp)
variable {t}
/-- The flip of a pullback square is a pullback square. -/
def flipIsLimit (ht : IsLimit t) : IsLimit t.flip :=
IsLimit.mk _ (fun s => ht.lift s.flip) (by simp) (by simp) (fun s m h₁ h₂ => by
apply IsLimit.hom_ext ht
all_goals aesop_cat)
/-- A square is a pullback square if its flip is. -/
def isLimitOfFlip (ht : IsLimit t.flip) : IsLimit t :=
IsLimit.ofIsoLimit (flipIsLimit ht) t.flipFlipIso
#align category_theory.limits.pullback_cone.flip_is_limit CategoryTheory.Limits.PullbackCone.isLimitOfFlip
end Flip
/--
The pullback cone `(𝟙 X, 𝟙 X)` for the pair `(f, f)` is a limit if `f` is a mono. The converse is
shown in `mono_of_pullback_is_id`.
-/
def isLimitMkIdId (f : X ⟶ Y) [Mono f] : IsLimit (mk (𝟙 X) (𝟙 X) rfl : PullbackCone f f) :=
IsLimit.mk _ (fun s => s.fst) (fun s => Category.comp_id _)
(fun s => by rw [← cancel_mono f, Category.comp_id, s.condition]) fun s m m₁ _ => by
simpa using m₁
#align category_theory.limits.pullback_cone.is_limit_mk_id_id CategoryTheory.Limits.PullbackCone.isLimitMkIdId
/--
`f` is a mono if the pullback cone `(𝟙 X, 𝟙 X)` is a limit for the pair `(f, f)`. The converse is
given in `PullbackCone.is_id_of_mono`.
-/
theorem mono_of_isLimitMkIdId (f : X ⟶ Y) (t : IsLimit (mk (𝟙 X) (𝟙 X) rfl : PullbackCone f f)) :
Mono f :=
⟨fun {Z} g h eq => by
rcases PullbackCone.IsLimit.lift' t _ _ eq with ⟨_, rfl, rfl⟩
rfl⟩
#align category_theory.limits.pullback_cone.mono_of_is_limit_mk_id_id CategoryTheory.Limits.PullbackCone.mono_of_isLimitMkIdId
/-- Suppose `f` and `g` are two morphisms with a common codomain and `s` is a limit cone over the
diagram formed by `f` and `g`. Suppose `f` and `g` both factor through a monomorphism `h` via
`x` and `y`, respectively. Then `s` is also a limit cone over the diagram formed by `x` and
`y`. -/
def isLimitOfFactors (f : X ⟶ Z) (g : Y ⟶ Z) (h : W ⟶ Z) [Mono h] (x : X ⟶ W) (y : Y ⟶ W)
(hxh : x ≫ h = f) (hyh : y ≫ h = g) (s : PullbackCone f g) (hs : IsLimit s) :
IsLimit
(PullbackCone.mk _ _
(show s.fst ≫ x = s.snd ≫ y from
(cancel_mono h).1 <| by simp only [Category.assoc, hxh, hyh, s.condition])) :=
PullbackCone.isLimitAux' _ fun t =>
have : fst t ≫ x ≫ h = snd t ≫ y ≫ h := by -- Porting note: reassoc workaround
rw [← Category.assoc, ← Category.assoc]
apply congrArg (· ≫ h) t.condition
⟨hs.lift (PullbackCone.mk t.fst t.snd <| by rw [← hxh, ← hyh, this]),
⟨hs.fac _ WalkingCospan.left, hs.fac _ WalkingCospan.right, fun hr hr' => by
apply PullbackCone.IsLimit.hom_ext hs <;>
simp only [PullbackCone.mk_fst, PullbackCone.mk_snd] at hr hr' ⊢ <;>
simp only [hr, hr'] <;>
symm
exacts [hs.fac _ WalkingCospan.left, hs.fac _ WalkingCospan.right]⟩⟩
#align category_theory.limits.pullback_cone.is_limit_of_factors CategoryTheory.Limits.PullbackCone.isLimitOfFactors
/-- If `W` is the pullback of `f, g`,
it is also the pullback of `f ≫ i, g ≫ i` for any mono `i`. -/
def isLimitOfCompMono (f : X ⟶ W) (g : Y ⟶ W) (i : W ⟶ Z) [Mono i] (s : PullbackCone f g)
(H : IsLimit s) :
IsLimit
(PullbackCone.mk _ _
(show s.fst ≫ f ≫ i = s.snd ≫ g ≫ i by
rw [← Category.assoc, ← Category.assoc, s.condition])) := by
apply PullbackCone.isLimitAux'
intro s
rcases PullbackCone.IsLimit.lift' H s.fst s.snd
((cancel_mono i).mp (by simpa using s.condition)) with
⟨l, h₁, h₂⟩
refine ⟨l, h₁, h₂, ?_⟩
intro m hm₁ hm₂
exact (PullbackCone.IsLimit.hom_ext H (hm₁.trans h₁.symm) (hm₂.trans h₂.symm) : _)
#align category_theory.limits.pullback_cone.is_limit_of_comp_mono CategoryTheory.Limits.PullbackCone.isLimitOfCompMono
end PullbackCone
/-- A pushout cocone is just a cocone on the span formed by two morphisms `f : X ⟶ Y` and
`g : X ⟶ Z`. -/
abbrev PushoutCocone (f : X ⟶ Y) (g : X ⟶ Z) :=
Cocone (span f g)
#align category_theory.limits.pushout_cocone CategoryTheory.Limits.PushoutCocone
namespace PushoutCocone
variable {f : X ⟶ Y} {g : X ⟶ Z}
/-- The first inclusion of a pushout cocone. -/
abbrev inl (t : PushoutCocone f g) : Y ⟶ t.pt :=
t.ι.app WalkingSpan.left
#align category_theory.limits.pushout_cocone.inl CategoryTheory.Limits.PushoutCocone.inl
/-- The second inclusion of a pushout cocone. -/
abbrev inr (t : PushoutCocone f g) : Z ⟶ t.pt :=
t.ι.app WalkingSpan.right
#align category_theory.limits.pushout_cocone.inr CategoryTheory.Limits.PushoutCocone.inr
@[simp]
theorem ι_app_left (c : PushoutCocone f g) : c.ι.app WalkingSpan.left = c.inl := rfl
#align category_theory.limits.pushout_cocone.ι_app_left CategoryTheory.Limits.PushoutCocone.ι_app_left
@[simp]
theorem ι_app_right (c : PushoutCocone f g) : c.ι.app WalkingSpan.right = c.inr := rfl
#align category_theory.limits.pushout_cocone.ι_app_right CategoryTheory.Limits.PushoutCocone.ι_app_right
@[simp]
theorem condition_zero (t : PushoutCocone f g) : t.ι.app WalkingSpan.zero = f ≫ t.inl := by
have w := t.ι.naturality WalkingSpan.Hom.fst
dsimp at w; simpa using w.symm
#align category_theory.limits.pushout_cocone.condition_zero CategoryTheory.Limits.PushoutCocone.condition_zero
/-- This is a slightly more convenient method to verify that a pushout cocone is a colimit cocone.
It only asks for a proof of facts that carry any mathematical content -/
def isColimitAux (t : PushoutCocone f g) (desc : ∀ s : PushoutCocone f g, t.pt ⟶ s.pt)
(fac_left : ∀ s : PushoutCocone f g, t.inl ≫ desc s = s.inl)
(fac_right : ∀ s : PushoutCocone f g, t.inr ≫ desc s = s.inr)
(uniq : ∀ (s : PushoutCocone f g) (m : t.pt ⟶ s.pt)
(_ : ∀ j : WalkingSpan, t.ι.app j ≫ m = s.ι.app j), m = desc s) : IsColimit t :=
{ desc
fac := fun s j =>
Option.casesOn j (by simp [← s.w fst, ← t.w fst, fac_left s]) fun j' =>
WalkingPair.casesOn j' (fac_left s) (fac_right s)
uniq := uniq }
#align category_theory.limits.pushout_cocone.is_colimit_aux CategoryTheory.Limits.PushoutCocone.isColimitAux
/-- This is another convenient method to verify that a pushout cocone is a colimit cocone. It
only asks for a proof of facts that carry any mathematical content, and allows access to the
same `s` for all parts. -/
def isColimitAux' (t : PushoutCocone f g)
(create :
∀ s : PushoutCocone f g,
{ l //
t.inl ≫ l = s.inl ∧
t.inr ≫ l = s.inr ∧ ∀ {m}, t.inl ≫ m = s.inl → t.inr ≫ m = s.inr → m = l }) :
IsColimit t :=
isColimitAux t (fun s => (create s).1) (fun s => (create s).2.1) (fun s => (create s).2.2.1)
fun s _ w => (create s).2.2.2 (w WalkingCospan.left) (w WalkingCospan.right)
#align category_theory.limits.pushout_cocone.is_colimit_aux' CategoryTheory.Limits.PushoutCocone.isColimitAux'
/-- A pushout cocone on `f` and `g` is determined by morphisms `inl : Y ⟶ W` and `inr : Z ⟶ W` such
that `f ≫ inl = g ↠ inr`. -/
@[simps]
def mk {W : C} (inl : Y ⟶ W) (inr : Z ⟶ W) (eq : f ≫ inl = g ≫ inr) : PushoutCocone f g where
pt := W
ι := { app := fun j => Option.casesOn j (f ≫ inl) fun j' => WalkingPair.casesOn j' inl inr
naturality := by
rintro (⟨⟩|⟨⟨⟩⟩) (⟨⟩|⟨⟨⟩⟩) <;> intro f <;> cases f <;> dsimp <;> aesop }
#align category_theory.limits.pushout_cocone.mk CategoryTheory.Limits.PushoutCocone.mk
@[simp]
theorem mk_ι_app_left {W : C} (inl : Y ⟶ W) (inr : Z ⟶ W) (eq : f ≫ inl = g ≫ inr) :
(mk inl inr eq).ι.app WalkingSpan.left = inl := rfl
#align category_theory.limits.pushout_cocone.mk_ι_app_left CategoryTheory.Limits.PushoutCocone.mk_ι_app_left
@[simp]
theorem mk_ι_app_right {W : C} (inl : Y ⟶ W) (inr : Z ⟶ W) (eq : f ≫ inl = g ≫ inr) :
(mk inl inr eq).ι.app WalkingSpan.right = inr := rfl
#align category_theory.limits.pushout_cocone.mk_ι_app_right CategoryTheory.Limits.PushoutCocone.mk_ι_app_right
@[simp]
theorem mk_ι_app_zero {W : C} (inl : Y ⟶ W) (inr : Z ⟶ W) (eq : f ≫ inl = g ≫ inr) :
(mk inl inr eq).ι.app WalkingSpan.zero = f ≫ inl := rfl
#align category_theory.limits.pushout_cocone.mk_ι_app_zero CategoryTheory.Limits.PushoutCocone.mk_ι_app_zero
@[simp]
theorem mk_inl {W : C} (inl : Y ⟶ W) (inr : Z ⟶ W) (eq : f ≫ inl = g ≫ inr) :
(mk inl inr eq).inl = inl := rfl
#align category_theory.limits.pushout_cocone.mk_inl CategoryTheory.Limits.PushoutCocone.mk_inl
@[simp]
theorem mk_inr {W : C} (inl : Y ⟶ W) (inr : Z ⟶ W) (eq : f ≫ inl = g ≫ inr) :
(mk inl inr eq).inr = inr := rfl
#align category_theory.limits.pushout_cocone.mk_inr CategoryTheory.Limits.PushoutCocone.mk_inr
@[reassoc]
theorem condition (t : PushoutCocone f g) : f ≫ inl t = g ≫ inr t :=
(t.w fst).trans (t.w snd).symm
#align category_theory.limits.pushout_cocone.condition CategoryTheory.Limits.PushoutCocone.condition
/-- To check whether a morphism is coequalized by the maps of a pushout cocone, it suffices to check
it for `inl t` and `inr t` -/
theorem coequalizer_ext (t : PushoutCocone f g) {W : C} {k l : t.pt ⟶ W}
(h₀ : inl t ≫ k = inl t ≫ l) (h₁ : inr t ≫ k = inr t ≫ l) :
∀ j : WalkingSpan, t.ι.app j ≫ k = t.ι.app j ≫ l
| some WalkingPair.left => h₀
| some WalkingPair.right => h₁
| none => by rw [← t.w fst, Category.assoc, Category.assoc, h₀]
#align category_theory.limits.pushout_cocone.coequalizer_ext CategoryTheory.Limits.PushoutCocone.coequalizer_ext
theorem IsColimit.hom_ext {t : PushoutCocone f g} (ht : IsColimit t) {W : C} {k l : t.pt ⟶ W}
(h₀ : inl t ≫ k = inl t ≫ l) (h₁ : inr t ≫ k = inr t ≫ l) : k = l :=
ht.hom_ext <| coequalizer_ext _ h₀ h₁
#align category_theory.limits.pushout_cocone.is_colimit.hom_ext CategoryTheory.Limits.PushoutCocone.IsColimit.hom_ext
-- Porting note: `IsColimit.desc` and the two following simp lemmas were introduced to ease the port
/-- If `t` is a colimit pushout cocone over `f` and `g` and `h : Y ⟶ W` and `k : Z ⟶ W` are
morphisms satisfying `f ≫ h = g ≫ k`, then we have a factorization `l : t.pt ⟶ W` such that
`inl t ≫ l = h` and `inr t ≫ l = k`, see `IsColimit.inl_desc` and `IsColimit.inr_desc`-/
def IsColimit.desc {t : PushoutCocone f g} (ht : IsColimit t) {W : C} (h : Y ⟶ W) (k : Z ⟶ W)
(w : f ≫ h = g ≫ k) : t.pt ⟶ W :=
ht.desc (PushoutCocone.mk _ _ w)
@[reassoc (attr := simp)]
lemma IsColimit.inl_desc {t : PushoutCocone f g} (ht : IsColimit t) {W : C} (h : Y ⟶ W) (k : Z ⟶ W)
(w : f ≫ h = g ≫ k) : inl t ≫ IsColimit.desc ht h k w = h :=
ht.fac _ _
@[reassoc (attr := simp)]
lemma IsColimit.inr_desc {t : PushoutCocone f g} (ht : IsColimit t) {W : C} (h : Y ⟶ W) (k : Z ⟶ W)
(w : f ≫ h = g ≫ k) : inr t ≫ IsColimit.desc ht h k w = k :=
ht.fac _ _
/-- If `t` is a colimit pushout cocone over `f` and `g` and `h : Y ⟶ W` and `k : Z ⟶ W` are
morphisms satisfying `f ≫ h = g ≫ k`, then we have a factorization `l : t.pt ⟶ W` such that
`inl t ≫ l = h` and `inr t ≫ l = k`. -/
def IsColimit.desc' {t : PushoutCocone f g} (ht : IsColimit t) {W : C} (h : Y ⟶ W) (k : Z ⟶ W)
(w : f ≫ h = g ≫ k) : { l : t.pt ⟶ W // inl t ≫ l = h ∧ inr t ≫ l = k } :=
⟨IsColimit.desc ht h k w, by simp⟩
#align category_theory.limits.pushout_cocone.is_colimit.desc' CategoryTheory.Limits.PushoutCocone.IsColimit.desc'
theorem epi_inr_of_is_pushout_of_epi {t : PushoutCocone f g} (ht : IsColimit t) [Epi f] :
Epi t.inr :=
⟨fun {W} h k i => IsColimit.hom_ext ht (by simp [← cancel_epi f, t.condition_assoc, i]) i⟩
#align category_theory.limits.pushout_cocone.epi_inr_of_is_pushout_of_epi CategoryTheory.Limits.PushoutCocone.epi_inr_of_is_pushout_of_epi
theorem epi_inl_of_is_pushout_of_epi {t : PushoutCocone f g} (ht : IsColimit t) [Epi g] :
Epi t.inl :=
⟨fun {W} h k i => IsColimit.hom_ext ht i (by simp [← cancel_epi g, ← t.condition_assoc, i])⟩
#align category_theory.limits.pushout_cocone.epi_inl_of_is_pushout_of_epi CategoryTheory.Limits.PushoutCocone.epi_inl_of_is_pushout_of_epi
/-- To construct an isomorphism of pushout cocones, it suffices to construct an isomorphism
of the cocone points and check it commutes with `inl` and `inr`. -/
def ext {s t : PushoutCocone f g} (i : s.pt ≅ t.pt) (w₁ : s.inl ≫ i.hom = t.inl)
(w₂ : s.inr ≫ i.hom = t.inr) : s ≅ t :=
WalkingSpan.ext i w₁ w₂
#align category_theory.limits.pushout_cocone.ext CategoryTheory.Limits.PushoutCocone.ext
/-- This is a more convenient formulation to show that a `PushoutCocone` constructed using
`PushoutCocone.mk` is a colimit cocone.
-/
def IsColimit.mk {W : C} {inl : Y ⟶ W} {inr : Z ⟶ W} (eq : f ≫ inl = g ≫ inr)
(desc : ∀ s : PushoutCocone f g, W ⟶ s.pt)
(fac_left : ∀ s : PushoutCocone f g, inl ≫ desc s = s.inl)
(fac_right : ∀ s : PushoutCocone f g, inr ≫ desc s = s.inr)
(uniq :
∀ (s : PushoutCocone f g) (m : W ⟶ s.pt) (_ : inl ≫ m = s.inl) (_ : inr ≫ m = s.inr),
m = desc s) :
IsColimit (mk inl inr eq) :=
isColimitAux _ desc fac_left fac_right fun s m w =>
uniq s m (w WalkingCospan.left) (w WalkingCospan.right)
#align category_theory.limits.pushout_cocone.is_colimit.mk CategoryTheory.Limits.PushoutCocone.IsColimit.mk
section Flip
variable (t : PushoutCocone f g)
/-- The pushout cocone obtained by flipping `inl` and `inr`. -/
def flip : PushoutCocone g f := PushoutCocone.mk _ _ t.condition.symm
@[simp] lemma flip_pt : t.flip.pt = t.pt := rfl
@[simp] lemma flip_inl : t.flip.inl = t.inr := rfl
@[simp] lemma flip_inr : t.flip.inr = t.inl := rfl
/-- Flipping a pushout cocone twice gives an isomorphic cocone. -/
def flipFlipIso : t.flip.flip ≅ t := PushoutCocone.ext (Iso.refl _) (by simp) (by simp)
variable {t}
/-- The flip of a pushout square is a pushout square. -/
def flipIsColimit (ht : IsColimit t) : IsColimit t.flip :=
IsColimit.mk _ (fun s => ht.desc s.flip) (by simp) (by simp) (fun s m h₁ h₂ => by
apply IsColimit.hom_ext ht
all_goals aesop_cat)
/-- A square is a pushout square if its flip is. -/
def isColimitOfFlip (ht : IsColimit t.flip) : IsColimit t :=
IsColimit.ofIsoColimit (flipIsColimit ht) t.flipFlipIso
#align category_theory.limits.pushout_cocone.flip_is_colimit CategoryTheory.Limits.PushoutCocone.isColimitOfFlip
end Flip
/--
The pushout cocone `(𝟙 X, 𝟙 X)` for the pair `(f, f)` is a colimit if `f` is an epi. The converse is
shown in `epi_of_isColimit_mk_id_id`.
-/
def isColimitMkIdId (f : X ⟶ Y) [Epi f] : IsColimit (mk (𝟙 Y) (𝟙 Y) rfl : PushoutCocone f f) :=
IsColimit.mk _ (fun s => s.inl) (fun s => Category.id_comp _)
(fun s => by rw [← cancel_epi f, Category.id_comp, s.condition]) fun s m m₁ _ => by
simpa using m₁
#align category_theory.limits.pushout_cocone.is_colimit_mk_id_id CategoryTheory.Limits.PushoutCocone.isColimitMkIdId
/-- `f` is an epi if the pushout cocone `(𝟙 X, 𝟙 X)` is a colimit for the pair `(f, f)`.
The converse is given in `PushoutCocone.isColimitMkIdId`.
-/
theorem epi_of_isColimitMkIdId (f : X ⟶ Y)
(t : IsColimit (mk (𝟙 Y) (𝟙 Y) rfl : PushoutCocone f f)) : Epi f :=
⟨fun {Z} g h eq => by
rcases PushoutCocone.IsColimit.desc' t _ _ eq with ⟨_, rfl, rfl⟩
rfl⟩
#align category_theory.limits.pushout_cocone.epi_of_is_colimit_mk_id_id CategoryTheory.Limits.PushoutCocone.epi_of_isColimitMkIdId
/-- Suppose `f` and `g` are two morphisms with a common domain and `s` is a colimit cocone over the
diagram formed by `f` and `g`. Suppose `f` and `g` both factor through an epimorphism `h` via
`x` and `y`, respectively. Then `s` is also a colimit cocone over the diagram formed by `x` and
`y`. -/
def isColimitOfFactors (f : X ⟶ Y) (g : X ⟶ Z) (h : X ⟶ W) [Epi h] (x : W ⟶ Y) (y : W ⟶ Z)
(hhx : h ≫ x = f) (hhy : h ≫ y = g) (s : PushoutCocone f g) (hs : IsColimit s) :
have reassoc₁ : h ≫ x ≫ inl s = f ≫ inl s := by -- Porting note: working around reassoc
rw [← Category.assoc]; apply congrArg (· ≫ inl s) hhx
have reassoc₂ : h ≫ y ≫ inr s = g ≫ inr s := by
rw [← Category.assoc]; apply congrArg (· ≫ inr s) hhy
IsColimit (PushoutCocone.mk _ _ (show x ≫ s.inl = y ≫ s.inr from
(cancel_epi h).1 <| by rw [reassoc₁, reassoc₂, s.condition])) :=
PushoutCocone.isColimitAux' _ fun t => ⟨hs.desc (PushoutCocone.mk t.inl t.inr <| by
rw [← hhx, ← hhy, Category.assoc, Category.assoc, t.condition]),
⟨hs.fac _ WalkingSpan.left, hs.fac _ WalkingSpan.right, fun hr hr' => by
apply PushoutCocone.IsColimit.hom_ext hs;
· simp only [PushoutCocone.mk_inl, PushoutCocone.mk_inr] at hr hr' ⊢
simp only [hr, hr']
symm
exact hs.fac _ WalkingSpan.left
· simp only [PushoutCocone.mk_inl, PushoutCocone.mk_inr] at hr hr' ⊢
simp only [hr, hr']
symm
exact hs.fac _ WalkingSpan.right⟩⟩
#align category_theory.limits.pushout_cocone.is_colimit_of_factors CategoryTheory.Limits.PushoutCocone.isColimitOfFactors
/-- If `W` is the pushout of `f, g`,
it is also the pushout of `h ≫ f, h ≫ g` for any epi `h`. -/
def isColimitOfEpiComp (f : X ⟶ Y) (g : X ⟶ Z) (h : W ⟶ X) [Epi h] (s : PushoutCocone f g)
(H : IsColimit s) :
IsColimit
(PushoutCocone.mk _ _
(show (h ≫ f) ≫ s.inl = (h ≫ g) ≫ s.inr by
rw [Category.assoc, Category.assoc, s.condition])) := by
apply PushoutCocone.isColimitAux'
intro s
rcases PushoutCocone.IsColimit.desc' H s.inl s.inr
((cancel_epi h).mp (by simpa using s.condition)) with
⟨l, h₁, h₂⟩
refine ⟨l, h₁, h₂, ?_⟩
intro m hm₁ hm₂
exact (PushoutCocone.IsColimit.hom_ext H (hm₁.trans h₁.symm) (hm₂.trans h₂.symm) : _)
#align category_theory.limits.pushout_cocone.is_colimit_of_epi_comp CategoryTheory.Limits.PushoutCocone.isColimitOfEpiComp
end PushoutCocone
/-- This is a helper construction that can be useful when verifying that a category has all
pullbacks. Given `F : WalkingCospan ⥤ C`, which is really the same as
`cospan (F.map inl) (F.map inr)`, and a pullback cone on `F.map inl` and `F.map inr`, we
get a cone on `F`.
If you're thinking about using this, have a look at `hasPullbacks_of_hasLimit_cospan`,
which you may find to be an easier way of achieving your goal. -/
@[simps]
def Cone.ofPullbackCone {F : WalkingCospan ⥤ C} (t : PullbackCone (F.map inl) (F.map inr)) :
Cone F where
pt := t.pt
π := t.π ≫ (diagramIsoCospan F).inv
#align category_theory.limits.cone.of_pullback_cone CategoryTheory.Limits.Cone.ofPullbackCone
/-- This is a helper construction that can be useful when verifying that a category has all
pushout. Given `F : WalkingSpan ⥤ C`, which is really the same as
`span (F.map fst) (F.map snd)`, and a pushout cocone on `F.map fst` and `F.map snd`,
we get a cocone on `F`.
If you're thinking about using this, have a look at `hasPushouts_of_hasColimit_span`, which
you may find to be an easier way of achieving your goal. -/
@[simps]
def Cocone.ofPushoutCocone {F : WalkingSpan ⥤ C} (t : PushoutCocone (F.map fst) (F.map snd)) :
Cocone F where
pt := t.pt
ι := (diagramIsoSpan F).hom ≫ t.ι
#align category_theory.limits.cocone.of_pushout_cocone CategoryTheory.Limits.Cocone.ofPushoutCocone
/-- Given `F : WalkingCospan ⥤ C`, which is really the same as `cospan (F.map inl) (F.map inr)`,
and a cone on `F`, we get a pullback cone on `F.map inl` and `F.map inr`. -/
@[simps]
def PullbackCone.ofCone {F : WalkingCospan ⥤ C} (t : Cone F) :
PullbackCone (F.map inl) (F.map inr) where
pt := t.pt
π := t.π ≫ (diagramIsoCospan F).hom
#align category_theory.limits.pullback_cone.of_cone CategoryTheory.Limits.PullbackCone.ofCone
/-- A diagram `WalkingCospan ⥤ C` is isomorphic to some `PullbackCone.mk` after
composing with `diagramIsoCospan`. -/
@[simps!]
def PullbackCone.isoMk {F : WalkingCospan ⥤ C} (t : Cone F) :
(Cones.postcompose (diagramIsoCospan.{v} _).hom).obj t ≅
PullbackCone.mk (t.π.app WalkingCospan.left) (t.π.app WalkingCospan.right)
((t.π.naturality inl).symm.trans (t.π.naturality inr : _)) :=
Cones.ext (Iso.refl _) <| by
rintro (_ | (_ | _)) <;>
· dsimp
simp
#align category_theory.limits.pullback_cone.iso_mk CategoryTheory.Limits.PullbackCone.isoMk
/-- Given `F : WalkingSpan ⥤ C`, which is really the same as `span (F.map fst) (F.map snd)`,
and a cocone on `F`, we get a pushout cocone on `F.map fst` and `F.map snd`. -/
@[simps]
def PushoutCocone.ofCocone {F : WalkingSpan ⥤ C} (t : Cocone F) :
PushoutCocone (F.map fst) (F.map snd) where
pt := t.pt
ι := (diagramIsoSpan F).inv ≫ t.ι
#align category_theory.limits.pushout_cocone.of_cocone CategoryTheory.Limits.PushoutCocone.ofCocone
/-- A diagram `WalkingSpan ⥤ C` is isomorphic to some `PushoutCocone.mk` after composing with
`diagramIsoSpan`. -/
@[simps!]
def PushoutCocone.isoMk {F : WalkingSpan ⥤ C} (t : Cocone F) :
(Cocones.precompose (diagramIsoSpan.{v} _).inv).obj t ≅
PushoutCocone.mk (t.ι.app WalkingSpan.left) (t.ι.app WalkingSpan.right)
((t.ι.naturality fst).trans (t.ι.naturality snd).symm) :=
Cocones.ext (Iso.refl _) <| by
rintro (_ | (_ | _)) <;>
· dsimp
simp
#align category_theory.limits.pushout_cocone.iso_mk CategoryTheory.Limits.PushoutCocone.isoMk
/-- `HasPullback f g` represents a particular choice of limiting cone
for the pair of morphisms `f : X ⟶ Z` and `g : Y ⟶ Z`.
-/
abbrev HasPullback {X Y Z : C} (f : X ⟶ Z) (g : Y ⟶ Z) :=
HasLimit (cospan f g)
#align category_theory.limits.has_pullback CategoryTheory.Limits.HasPullback
/-- `HasPushout f g` represents a particular choice of colimiting cocone
for the pair of morphisms `f : X ⟶ Y` and `g : X ⟶ Z`.
-/
abbrev HasPushout {X Y Z : C} (f : X ⟶ Y) (g : X ⟶ Z) :=
HasColimit (span f g)
#align category_theory.limits.has_pushout CategoryTheory.Limits.HasPushout
/-- `pullback f g` computes the pullback of a pair of morphisms with the same target. -/
abbrev pullback {X Y Z : C} (f : X ⟶ Z) (g : Y ⟶ Z) [HasPullback f g] :=
limit (cospan f g)
#align category_theory.limits.pullback CategoryTheory.Limits.pullback
/-- `pushout f g` computes the pushout of a pair of morphisms with the same source. -/
abbrev pushout {X Y Z : C} (f : X ⟶ Y) (g : X ⟶ Z) [HasPushout f g] :=
colimit (span f g)
#align category_theory.limits.pushout CategoryTheory.Limits.pushout
/-- The first projection of the pullback of `f` and `g`. -/
abbrev pullback.fst {X Y Z : C} {f : X ⟶ Z} {g : Y ⟶ Z} [HasPullback f g] : pullback f g ⟶ X :=
limit.π (cospan f g) WalkingCospan.left
#align category_theory.limits.pullback.fst CategoryTheory.Limits.pullback.fst
/-- The second projection of the pullback of `f` and `g`. -/
abbrev pullback.snd {X Y Z : C} {f : X ⟶ Z} {g : Y ⟶ Z} [HasPullback f g] : pullback f g ⟶ Y :=
limit.π (cospan f g) WalkingCospan.right
#align category_theory.limits.pullback.snd CategoryTheory.Limits.pullback.snd
/-- The first inclusion into the pushout of `f` and `g`. -/
abbrev pushout.inl {X Y Z : C} {f : X ⟶ Y} {g : X ⟶ Z} [HasPushout f g] : Y ⟶ pushout f g :=
colimit.ι (span f g) WalkingSpan.left
#align category_theory.limits.pushout.inl CategoryTheory.Limits.pushout.inl
/-- The second inclusion into the pushout of `f` and `g`. -/
abbrev pushout.inr {X Y Z : C} {f : X ⟶ Y} {g : X ⟶ Z} [HasPushout f g] : Z ⟶ pushout f g :=
colimit.ι (span f g) WalkingSpan.right
#align category_theory.limits.pushout.inr CategoryTheory.Limits.pushout.inr
/-- A pair of morphisms `h : W ⟶ X` and `k : W ⟶ Y` satisfying `h ≫ f = k ≫ g` induces a morphism
`pullback.lift : W ⟶ pullback f g`. -/
abbrev pullback.lift {W X Y Z : C} {f : X ⟶ Z} {g : Y ⟶ Z} [HasPullback f g] (h : W ⟶ X) (k : W ⟶ Y)
(w : h ≫ f = k ≫ g) : W ⟶ pullback f g :=
limit.lift _ (PullbackCone.mk h k w)
#align category_theory.limits.pullback.lift CategoryTheory.Limits.pullback.lift
/-- A pair of morphisms `h : Y ⟶ W` and `k : Z ⟶ W` satisfying `f ≫ h = g ≫ k` induces a morphism
`pushout.desc : pushout f g ⟶ W`. -/
abbrev pushout.desc {W X Y Z : C} {f : X ⟶ Y} {g : X ⟶ Z} [HasPushout f g] (h : Y ⟶ W) (k : Z ⟶ W)
(w : f ≫ h = g ≫ k) : pushout f g ⟶ W :=
colimit.desc _ (PushoutCocone.mk h k w)
#align category_theory.limits.pushout.desc CategoryTheory.Limits.pushout.desc
@[simp]
theorem PullbackCone.fst_colimit_cocone {X Y Z : C} (f : X ⟶ Z) (g : Y ⟶ Z)
[HasLimit (cospan f g)] : PullbackCone.fst (limit.cone (cospan f g)) = pullback.fst := rfl
#align category_theory.limits.pullback_cone.fst_colimit_cocone CategoryTheory.Limits.PullbackCone.fst_colimit_cocone
@[simp]
theorem PullbackCone.snd_colimit_cocone {X Y Z : C} (f : X ⟶ Z) (g : Y ⟶ Z)
[HasLimit (cospan f g)] : PullbackCone.snd (limit.cone (cospan f g)) = pullback.snd := rfl
#align category_theory.limits.pullback_cone.snd_colimit_cocone CategoryTheory.Limits.PullbackCone.snd_colimit_cocone
-- Porting note (#10618): simp can prove this; removed simp
theorem PushoutCocone.inl_colimit_cocone {X Y Z : C} (f : Z ⟶ X) (g : Z ⟶ Y)
[HasColimit (span f g)] : PushoutCocone.inl (colimit.cocone (span f g)) = pushout.inl := rfl
#align category_theory.limits.pushout_cocone.inl_colimit_cocone CategoryTheory.Limits.PushoutCocone.inl_colimit_cocone
-- Porting note (#10618): simp can prove this; removed simp
theorem PushoutCocone.inr_colimit_cocone {X Y Z : C} (f : Z ⟶ X) (g : Z ⟶ Y)
[HasColimit (span f g)] : PushoutCocone.inr (colimit.cocone (span f g)) = pushout.inr := rfl
#align category_theory.limits.pushout_cocone.inr_colimit_cocone CategoryTheory.Limits.PushoutCocone.inr_colimit_cocone
-- Porting note (#10618): simp can prove this and reassoced version; removed simp
@[reassoc]
theorem pullback.lift_fst {W X Y Z : C} {f : X ⟶ Z} {g : Y ⟶ Z} [HasPullback f g] (h : W ⟶ X)
(k : W ⟶ Y) (w : h ≫ f = k ≫ g) : pullback.lift h k w ≫ pullback.fst = h :=
limit.lift_π _ _
#align category_theory.limits.pullback.lift_fst CategoryTheory.Limits.pullback.lift_fst
-- Porting note (#10618): simp can prove this and reassoced version; removed simp
@[reassoc]
theorem pullback.lift_snd {W X Y Z : C} {f : X ⟶ Z} {g : Y ⟶ Z} [HasPullback f g] (h : W ⟶ X)
(k : W ⟶ Y) (w : h ≫ f = k ≫ g) : pullback.lift h k w ≫ pullback.snd = k :=
limit.lift_π _ _
#align category_theory.limits.pullback.lift_snd CategoryTheory.Limits.pullback.lift_snd
-- Porting note (#10618): simp can prove this and reassoced version; removed simp
@[reassoc]
theorem pushout.inl_desc {W X Y Z : C} {f : X ⟶ Y} {g : X ⟶ Z} [HasPushout f g] (h : Y ⟶ W)
(k : Z ⟶ W) (w : f ≫ h = g ≫ k) : pushout.inl ≫ pushout.desc h k w = h :=
colimit.ι_desc _ _
#align category_theory.limits.pushout.inl_desc CategoryTheory.Limits.pushout.inl_desc
-- Porting note (#10618): simp can prove this and reassoced version; removed simp
@[reassoc]
theorem pushout.inr_desc {W X Y Z : C} {f : X ⟶ Y} {g : X ⟶ Z} [HasPushout f g] (h : Y ⟶ W)
(k : Z ⟶ W) (w : f ≫ h = g ≫ k) : pushout.inr ≫ pushout.desc h k w = k :=
colimit.ι_desc _ _
#align category_theory.limits.pushout.inr_desc CategoryTheory.Limits.pushout.inr_desc
/-- A pair of morphisms `h : W ⟶ X` and `k : W ⟶ Y` satisfying `h ≫ f = k ≫ g` induces a morphism
`l : W ⟶ pullback f g` such that `l ≫ pullback.fst = h` and `l ≫ pullback.snd = k`. -/
def pullback.lift' {W X Y Z : C} {f : X ⟶ Z} {g : Y ⟶ Z} [HasPullback f g] (h : W ⟶ X) (k : W ⟶ Y)
(w : h ≫ f = k ≫ g) : { l : W ⟶ pullback f g // l ≫ pullback.fst = h ∧ l ≫ pullback.snd = k } :=
⟨pullback.lift h k w, pullback.lift_fst _ _ _, pullback.lift_snd _ _ _⟩
#align category_theory.limits.pullback.lift' CategoryTheory.Limits.pullback.lift'
/-- A pair of morphisms `h : Y ⟶ W` and `k : Z ⟶ W` satisfying `f ≫ h = g ≫ k` induces a morphism
`l : pushout f g ⟶ W` such that `pushout.inl ≫ l = h` and `pushout.inr ≫ l = k`. -/
def pullback.desc' {W X Y Z : C} {f : X ⟶ Y} {g : X ⟶ Z} [HasPushout f g] (h : Y ⟶ W) (k : Z ⟶ W)
(w : f ≫ h = g ≫ k) : { l : pushout f g ⟶ W // pushout.inl ≫ l = h ∧ pushout.inr ≫ l = k } :=
⟨pushout.desc h k w, pushout.inl_desc _ _ _, pushout.inr_desc _ _ _⟩
#align category_theory.limits.pullback.desc' CategoryTheory.Limits.pullback.desc'
@[reassoc]
theorem pullback.condition {X Y Z : C} {f : X ⟶ Z} {g : Y ⟶ Z} [HasPullback f g] :
(pullback.fst : pullback f g ⟶ X) ≫ f = pullback.snd ≫ g :=
PullbackCone.condition _
#align category_theory.limits.pullback.condition CategoryTheory.Limits.pullback.condition
@[reassoc]
theorem pushout.condition {X Y Z : C} {f : X ⟶ Y} {g : X ⟶ Z} [HasPushout f g] :
f ≫ (pushout.inl : Y ⟶ pushout f g) = g ≫ pushout.inr :=
PushoutCocone.condition _
#align category_theory.limits.pushout.condition CategoryTheory.Limits.pushout.condition
/-- Given such a diagram, then there is a natural morphism `W ×ₛ X ⟶ Y ×ₜ Z`.
W ⟶ Y
↘ ↘
S ⟶ T
↗ ↗
X ⟶ Z
-/
abbrev pullback.map {W X Y Z S T : C} (f₁ : W ⟶ S) (f₂ : X ⟶ S) [HasPullback f₁ f₂] (g₁ : Y ⟶ T)
(g₂ : Z ⟶ T) [HasPullback g₁ g₂] (i₁ : W ⟶ Y) (i₂ : X ⟶ Z) (i₃ : S ⟶ T)
(eq₁ : f₁ ≫ i₃ = i₁ ≫ g₁) (eq₂ : f₂ ≫ i₃ = i₂ ≫ g₂) : pullback f₁ f₂ ⟶ pullback g₁ g₂ :=
pullback.lift (pullback.fst ≫ i₁) (pullback.snd ≫ i₂)
(by simp [← eq₁, ← eq₂, pullback.condition_assoc])
#align category_theory.limits.pullback.map CategoryTheory.Limits.pullback.map
/-- The canonical map `X ×ₛ Y ⟶ X ×ₜ Y` given `S ⟶ T`. -/
abbrev pullback.mapDesc {X Y S T : C} (f : X ⟶ S) (g : Y ⟶ S) (i : S ⟶ T) [HasPullback f g]
[HasPullback (f ≫ i) (g ≫ i)] : pullback f g ⟶ pullback (f ≫ i) (g ≫ i) :=
pullback.map f g (f ≫ i) (g ≫ i) (𝟙 _) (𝟙 _) i (Category.id_comp _).symm (Category.id_comp _).symm
#align category_theory.limits.pullback.map_desc CategoryTheory.Limits.pullback.mapDesc
/-- Given such a diagram, then there is a natural morphism `W ⨿ₛ X ⟶ Y ⨿ₜ Z`.
W ⟶ Y
↗ ↗
S ⟶ T
↘ ↘
X ⟶ Z
-/
abbrev pushout.map {W X Y Z S T : C} (f₁ : S ⟶ W) (f₂ : S ⟶ X) [HasPushout f₁ f₂] (g₁ : T ⟶ Y)
(g₂ : T ⟶ Z) [HasPushout g₁ g₂] (i₁ : W ⟶ Y) (i₂ : X ⟶ Z) (i₃ : S ⟶ T) (eq₁ : f₁ ≫ i₁ = i₃ ≫ g₁)
(eq₂ : f₂ ≫ i₂ = i₃ ≫ g₂) : pushout f₁ f₂ ⟶ pushout g₁ g₂ :=
pushout.desc (i₁ ≫ pushout.inl) (i₂ ≫ pushout.inr)
(by
simp only [← Category.assoc, eq₁, eq₂]
simp [pushout.condition])
#align category_theory.limits.pushout.map CategoryTheory.Limits.pushout.map
/-- The canonical map `X ⨿ₛ Y ⟶ X ⨿ₜ Y` given `S ⟶ T`. -/
abbrev pushout.mapLift {X Y S T : C} (f : T ⟶ X) (g : T ⟶ Y) (i : S ⟶ T) [HasPushout f g]
[HasPushout (i ≫ f) (i ≫ g)] : pushout (i ≫ f) (i ≫ g) ⟶ pushout f g :=
pushout.map (i ≫ f) (i ≫ g) f g (𝟙 _) (𝟙 _) i (Category.comp_id _) (Category.comp_id _)
#align category_theory.limits.pushout.map_lift CategoryTheory.Limits.pushout.mapLift
/-- Two morphisms into a pullback are equal if their compositions with the pullback morphisms are
equal -/
@[ext 1100]
theorem pullback.hom_ext {X Y Z : C} {f : X ⟶ Z} {g : Y ⟶ Z} [HasPullback f g] {W : C}
{k l : W ⟶ pullback f g} (h₀ : k ≫ pullback.fst = l ≫ pullback.fst)
(h₁ : k ≫ pullback.snd = l ≫ pullback.snd) : k = l :=
limit.hom_ext <| PullbackCone.equalizer_ext _ h₀ h₁
#align category_theory.limits.pullback.hom_ext CategoryTheory.Limits.pullback.hom_ext
/-- The pullback cone built from the pullback projections is a pullback. -/
def pullbackIsPullback {X Y Z : C} (f : X ⟶ Z) (g : Y ⟶ Z) [HasPullback f g] :
IsLimit (PullbackCone.mk (pullback.fst : pullback f g ⟶ _) pullback.snd pullback.condition) :=
PullbackCone.IsLimit.mk _ (fun s => pullback.lift s.fst s.snd s.condition) (by simp) (by simp)
(by aesop_cat)
#align category_theory.limits.pullback_is_pullback CategoryTheory.Limits.pullbackIsPullback
/-- The pullback of a monomorphism is a monomorphism -/
instance pullback.fst_of_mono {X Y Z : C} {f : X ⟶ Z} {g : Y ⟶ Z} [HasPullback f g] [Mono g] :
Mono (pullback.fst : pullback f g ⟶ X) :=
PullbackCone.mono_fst_of_is_pullback_of_mono (limit.isLimit _)
#align category_theory.limits.pullback.fst_of_mono CategoryTheory.Limits.pullback.fst_of_mono
/-- The pullback of a monomorphism is a monomorphism -/
instance pullback.snd_of_mono {X Y Z : C} {f : X ⟶ Z} {g : Y ⟶ Z} [HasPullback f g] [Mono f] :
Mono (pullback.snd : pullback f g ⟶ Y) :=
PullbackCone.mono_snd_of_is_pullback_of_mono (limit.isLimit _)
#align category_theory.limits.pullback.snd_of_mono CategoryTheory.Limits.pullback.snd_of_mono
/-- The map `X ×[Z] Y ⟶ X × Y` is mono. -/
instance mono_pullback_to_prod {C : Type*} [Category C] {X Y Z : C} (f : X ⟶ Z) (g : Y ⟶ Z)
[HasPullback f g] [HasBinaryProduct X Y] :
Mono (prod.lift pullback.fst pullback.snd : pullback f g ⟶ _) :=
⟨fun {W} i₁ i₂ h => by
ext
· simpa using congrArg (fun f => f ≫ prod.fst) h
· simpa using congrArg (fun f => f ≫ prod.snd) h⟩
#align category_theory.limits.mono_pullback_to_prod CategoryTheory.Limits.mono_pullback_to_prod
/-- Two morphisms out of a pushout are equal if their compositions with the pushout morphisms are
equal -/
@[ext 1100]
theorem pushout.hom_ext {X Y Z : C} {f : X ⟶ Y} {g : X ⟶ Z} [HasPushout f g] {W : C}
{k l : pushout f g ⟶ W} (h₀ : pushout.inl ≫ k = pushout.inl ≫ l)
(h₁ : pushout.inr ≫ k = pushout.inr ≫ l) : k = l :=
colimit.hom_ext <| PushoutCocone.coequalizer_ext _ h₀ h₁
#align category_theory.limits.pushout.hom_ext CategoryTheory.Limits.pushout.hom_ext
/-- The pushout cocone built from the pushout coprojections is a pushout. -/
def pushoutIsPushout {X Y Z : C} (f : X ⟶ Y) (g : X ⟶ Z) [HasPushout f g] :
IsColimit (PushoutCocone.mk (pushout.inl : _ ⟶ pushout f g) pushout.inr pushout.condition) :=
PushoutCocone.IsColimit.mk _ (fun s => pushout.desc s.inl s.inr s.condition) (by simp) (by simp)
(by aesop_cat)
#align category_theory.limits.pushout_is_pushout CategoryTheory.Limits.pushoutIsPushout
/-- The pushout of an epimorphism is an epimorphism -/
instance pushout.inl_of_epi {X Y Z : C} {f : X ⟶ Y} {g : X ⟶ Z} [HasPushout f g] [Epi g] :
Epi (pushout.inl : Y ⟶ pushout f g) :=
PushoutCocone.epi_inl_of_is_pushout_of_epi (colimit.isColimit _)
#align category_theory.limits.pushout.inl_of_epi CategoryTheory.Limits.pushout.inl_of_epi
/-- The pushout of an epimorphism is an epimorphism -/
instance pushout.inr_of_epi {X Y Z : C} {f : X ⟶ Y} {g : X ⟶ Z} [HasPushout f g] [Epi f] :
Epi (pushout.inr : Z ⟶ pushout f g) :=
PushoutCocone.epi_inr_of_is_pushout_of_epi (colimit.isColimit _)
#align category_theory.limits.pushout.inr_of_epi CategoryTheory.Limits.pushout.inr_of_epi
/-- The map `X ⨿ Y ⟶ X ⨿[Z] Y` is epi. -/
instance epi_coprod_to_pushout {C : Type*} [Category C] {X Y Z : C} (f : X ⟶ Y) (g : X ⟶ Z)
[HasPushout f g] [HasBinaryCoproduct Y Z] :
Epi (coprod.desc pushout.inl pushout.inr : _ ⟶ pushout f g) :=
⟨fun {W} i₁ i₂ h => by
ext
· simpa using congrArg (fun f => coprod.inl ≫ f) h
· simpa using congrArg (fun f => coprod.inr ≫ f) h⟩
#align category_theory.limits.epi_coprod_to_pushout CategoryTheory.Limits.epi_coprod_to_pushout
instance pullback.map_isIso {W X Y Z S T : C} (f₁ : W ⟶ S) (f₂ : X ⟶ S) [HasPullback f₁ f₂]
(g₁ : Y ⟶ T) (g₂ : Z ⟶ T) [HasPullback g₁ g₂] (i₁ : W ⟶ Y) (i₂ : X ⟶ Z) (i₃ : S ⟶ T)
(eq₁ : f₁ ≫ i₃ = i₁ ≫ g₁) (eq₂ : f₂ ≫ i₃ = i₂ ≫ g₂) [IsIso i₁] [IsIso i₂] [IsIso i₃] :
IsIso (pullback.map f₁ f₂ g₁ g₂ i₁ i₂ i₃ eq₁ eq₂) := by
refine ⟨⟨pullback.map _ _ _ _ (inv i₁) (inv i₂) (inv i₃) ?_ ?_, ?_, ?_⟩⟩
· rw [IsIso.comp_inv_eq, Category.assoc, eq₁, IsIso.inv_hom_id_assoc]
· rw [IsIso.comp_inv_eq, Category.assoc, eq₂, IsIso.inv_hom_id_assoc]
· aesop_cat
· aesop_cat
#align category_theory.limits.pullback.map_is_iso CategoryTheory.Limits.pullback.map_isIso
/-- If `f₁ = f₂` and `g₁ = g₂`, we may construct a canonical
isomorphism `pullback f₁ g₁ ≅ pullback f₂ g₂` -/
@[simps! hom]
def pullback.congrHom {X Y Z : C} {f₁ f₂ : X ⟶ Z} {g₁ g₂ : Y ⟶ Z} (h₁ : f₁ = f₂) (h₂ : g₁ = g₂)
[HasPullback f₁ g₁] [HasPullback f₂ g₂] : pullback f₁ g₁ ≅ pullback f₂ g₂ :=
asIso <| pullback.map _ _ _ _ (𝟙 _) (𝟙 _) (𝟙 _) (by simp [h₁]) (by simp [h₂])
#align category_theory.limits.pullback.congr_hom CategoryTheory.Limits.pullback.congrHom
@[simp]
theorem pullback.congrHom_inv {X Y Z : C} {f₁ f₂ : X ⟶ Z} {g₁ g₂ : Y ⟶ Z} (h₁ : f₁ = f₂)
(h₂ : g₁ = g₂) [HasPullback f₁ g₁] [HasPullback f₂ g₂] :
(pullback.congrHom h₁ h₂).inv =
pullback.map _ _ _ _ (𝟙 _) (𝟙 _) (𝟙 _) (by simp [h₁]) (by simp [h₂]) := by
ext
· erw [pullback.lift_fst]
rw [Iso.inv_comp_eq]
erw [pullback.lift_fst_assoc]
rw [Category.comp_id, Category.comp_id]
· erw [pullback.lift_snd]
rw [Iso.inv_comp_eq]
erw [pullback.lift_snd_assoc]
rw [Category.comp_id, Category.comp_id]
#align category_theory.limits.pullback.congr_hom_inv CategoryTheory.Limits.pullback.congrHom_inv
instance pushout.map_isIso {W X Y Z S T : C} (f₁ : S ⟶ W) (f₂ : S ⟶ X) [HasPushout f₁ f₂]
(g₁ : T ⟶ Y) (g₂ : T ⟶ Z) [HasPushout g₁ g₂] (i₁ : W ⟶ Y) (i₂ : X ⟶ Z) (i₃ : S ⟶ T)
(eq₁ : f₁ ≫ i₁ = i₃ ≫ g₁) (eq₂ : f₂ ≫ i₂ = i₃ ≫ g₂) [IsIso i₁] [IsIso i₂] [IsIso i₃] :
IsIso (pushout.map f₁ f₂ g₁ g₂ i₁ i₂ i₃ eq₁ eq₂) := by
refine ⟨⟨pushout.map _ _ _ _ (inv i₁) (inv i₂) (inv i₃) ?_ ?_, ?_, ?_⟩⟩
· rw [IsIso.comp_inv_eq, Category.assoc, eq₁, IsIso.inv_hom_id_assoc]
· rw [IsIso.comp_inv_eq, Category.assoc, eq₂, IsIso.inv_hom_id_assoc]
· aesop_cat
· aesop_cat
#align category_theory.limits.pushout.map_is_iso CategoryTheory.Limits.pushout.map_isIso
theorem pullback.mapDesc_comp {X Y S T S' : C} (f : X ⟶ T) (g : Y ⟶ T) (i : T ⟶ S) (i' : S ⟶ S')
[HasPullback f g] [HasPullback (f ≫ i) (g ≫ i)] [HasPullback (f ≫ i ≫ i') (g ≫ i ≫ i')]
[HasPullback ((f ≫ i) ≫ i') ((g ≫ i) ≫ i')] :
pullback.mapDesc f g (i ≫ i') = pullback.mapDesc f g i ≫ pullback.mapDesc _ _ i' ≫
(pullback.congrHom (Category.assoc _ _ _) (Category.assoc _ _ _)).hom := by
aesop_cat
#align category_theory.limits.pullback.map_desc_comp CategoryTheory.Limits.pullback.mapDesc_comp
/-- If `f₁ = f₂` and `g₁ = g₂`, we may construct a canonical
isomorphism `pushout f₁ g₁ ≅ pullback f₂ g₂` -/
@[simps! hom]
def pushout.congrHom {X Y Z : C} {f₁ f₂ : X ⟶ Y} {g₁ g₂ : X ⟶ Z} (h₁ : f₁ = f₂) (h₂ : g₁ = g₂)
[HasPushout f₁ g₁] [HasPushout f₂ g₂] : pushout f₁ g₁ ≅ pushout f₂ g₂ :=
asIso <| pushout.map _ _ _ _ (𝟙 _) (𝟙 _) (𝟙 _) (by simp [h₁]) (by simp [h₂])
#align category_theory.limits.pushout.congr_hom CategoryTheory.Limits.pushout.congrHom
@[simp]
| Mathlib/CategoryTheory/Limits/Shapes/Pullbacks.lean | 1,441 | 1,453 | theorem pushout.congrHom_inv {X Y Z : C} {f₁ f₂ : X ⟶ Y} {g₁ g₂ : X ⟶ Z} (h₁ : f₁ = f₂)
(h₂ : g₁ = g₂) [HasPushout f₁ g₁] [HasPushout f₂ g₂] :
(pushout.congrHom h₁ h₂).inv =
pushout.map _ _ _ _ (𝟙 _) (𝟙 _) (𝟙 _) (by simp [h₁]) (by simp [h₂]) := by |
ext
· erw [pushout.inl_desc]
rw [Iso.comp_inv_eq, Category.id_comp]
erw [pushout.inl_desc]
rw [Category.id_comp]
· erw [pushout.inr_desc]
rw [Iso.comp_inv_eq, Category.id_comp]
erw [pushout.inr_desc]
rw [Category.id_comp]
|
/-
Copyright (c) 2022 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro
-/
import Batteries.Data.RBMap.Alter
import Batteries.Data.List.Lemmas
/-!
# Additional lemmas for Red-black trees
-/
namespace Batteries
namespace RBNode
open RBColor
attribute [simp] fold foldl foldr Any forM foldlM Ordered
@[simp] theorem min?_reverse (t : RBNode α) : t.reverse.min? = t.max? := by
unfold RBNode.max?; split <;> simp [RBNode.min?]
unfold RBNode.min?; rw [min?.match_1.eq_3]
· apply min?_reverse
· simpa [reverse_eq_iff]
@[simp] theorem max?_reverse (t : RBNode α) : t.reverse.max? = t.min? := by
rw [← min?_reverse, reverse_reverse]
@[simp] theorem mem_nil {x} : ¬x ∈ (.nil : RBNode α) := by simp [(·∈·), EMem]
@[simp] theorem mem_node {y c a x b} :
y ∈ (.node c a x b : RBNode α) ↔ y = x ∨ y ∈ a ∨ y ∈ b := by simp [(·∈·), EMem]
theorem All_def {t : RBNode α} : t.All p ↔ ∀ x ∈ t, p x := by
induction t <;> simp [or_imp, forall_and, *]
theorem Any_def {t : RBNode α} : t.Any p ↔ ∃ x ∈ t, p x := by
induction t <;> simp [or_and_right, exists_or, *]
theorem memP_def : MemP cut t ↔ ∃ x ∈ t, cut x = .eq := Any_def
theorem mem_def : Mem cmp x t ↔ ∃ y ∈ t, cmp x y = .eq := Any_def
theorem mem_congr [@TransCmp α cmp] {t : RBNode α} (h : cmp x y = .eq) :
Mem cmp x t ↔ Mem cmp y t := by simp [Mem, TransCmp.cmp_congr_left' h]
theorem isOrdered_iff' [@TransCmp α cmp] {t : RBNode α} :
isOrdered cmp t L R ↔
(∀ a ∈ L, t.All (cmpLT cmp a ·)) ∧
(∀ a ∈ R, t.All (cmpLT cmp · a)) ∧
(∀ a ∈ L, ∀ b ∈ R, cmpLT cmp a b) ∧
Ordered cmp t := by
induction t generalizing L R with
| nil =>
simp [isOrdered]; split <;> simp [cmpLT_iff]
next h => intro _ ha _ hb; cases h _ _ ha hb
| node _ l v r =>
simp [isOrdered, *]
exact ⟨
fun ⟨⟨Ll, lv, Lv, ol⟩, ⟨vr, rR, vR, or⟩⟩ => ⟨
fun _ h => ⟨Lv _ h, Ll _ h, (Lv _ h).trans_l vr⟩,
fun _ h => ⟨vR _ h, (vR _ h).trans_r lv, rR _ h⟩,
fun _ hL _ hR => (Lv _ hL).trans (vR _ hR),
lv, vr, ol, or⟩,
fun ⟨hL, hR, _, lv, vr, ol, or⟩ => ⟨
⟨fun _ h => (hL _ h).2.1, lv, fun _ h => (hL _ h).1, ol⟩,
⟨vr, fun _ h => (hR _ h).2.2, fun _ h => (hR _ h).1, or⟩⟩⟩
theorem isOrdered_iff [@TransCmp α cmp] {t : RBNode α} :
isOrdered cmp t ↔ Ordered cmp t := by simp [isOrdered_iff']
instance (cmp) [@TransCmp α cmp] (t) : Decidable (Ordered cmp t) := decidable_of_iff _ isOrdered_iff
/--
A cut is like a homomorphism of orderings: it is a monotonic predicate with respect to `cmp`,
but it can make things that are distinguished by `cmp` equal.
This is sufficient for `find?` to locate an element on which `cut` returns `.eq`,
but there may be other elements, not returned by `find?`, on which `cut` also returns `.eq`.
-/
class IsCut (cmp : α → α → Ordering) (cut : α → Ordering) : Prop where
/-- The set `{x | cut x = .lt}` is downward-closed. -/
le_lt_trans [TransCmp cmp] : cmp x y ≠ .gt → cut x = .lt → cut y = .lt
/-- The set `{x | cut x = .gt}` is upward-closed. -/
le_gt_trans [TransCmp cmp] : cmp x y ≠ .gt → cut y = .gt → cut x = .gt
theorem IsCut.lt_trans [IsCut cmp cut] [TransCmp cmp]
(H : cmp x y = .lt) : cut x = .lt → cut y = .lt :=
IsCut.le_lt_trans <| TransCmp.gt_asymm <| OrientedCmp.cmp_eq_gt.2 H
theorem IsCut.gt_trans [IsCut cmp cut] [TransCmp cmp]
(H : cmp x y = .lt) : cut y = .gt → cut x = .gt :=
IsCut.le_gt_trans <| TransCmp.gt_asymm <| OrientedCmp.cmp_eq_gt.2 H
theorem IsCut.congr [IsCut cmp cut] [TransCmp cmp] (H : cmp x y = .eq) : cut x = cut y := by
cases ey : cut y
· exact IsCut.le_lt_trans (fun h => nomatch H.symm.trans <| OrientedCmp.cmp_eq_gt.1 h) ey
· cases ex : cut x
· exact IsCut.le_lt_trans (fun h => nomatch H.symm.trans h) ex |>.symm.trans ey
· rfl
· refine IsCut.le_gt_trans (cmp := cmp) (fun h => ?_) ex |>.symm.trans ey
cases H.symm.trans <| OrientedCmp.cmp_eq_gt.1 h
· exact IsCut.le_gt_trans (fun h => nomatch H.symm.trans h) ey
instance (cmp cut) [@IsCut α cmp cut] : IsCut (flip cmp) (cut · |>.swap) where
le_lt_trans h₁ h₂ := by
have : TransCmp cmp := inferInstanceAs (TransCmp (flip (flip cmp)))
rw [IsCut.le_gt_trans (cmp := cmp) h₁ (Ordering.swap_inj.1 h₂)]; rfl
le_gt_trans h₁ h₂ := by
have : TransCmp cmp := inferInstanceAs (TransCmp (flip (flip cmp)))
rw [IsCut.le_lt_trans (cmp := cmp) h₁ (Ordering.swap_inj.1 h₂)]; rfl
/--
`IsStrictCut` upgrades the `IsCut` property to ensure that at most one element of the tree
can match the cut, and hence `find?` will return the unique such element if one exists.
-/
class IsStrictCut (cmp : α → α → Ordering) (cut : α → Ordering) extends IsCut cmp cut : Prop where
/-- If `cut = x`, then `cut` and `x` have compare the same with respect to other elements. -/
exact [TransCmp cmp] : cut x = .eq → cmp x y = cut y
/-- A "representable cut" is one generated by `cmp a` for some `a`. This is always a valid cut. -/
instance (cmp) (a : α) : IsStrictCut cmp (cmp a) where
le_lt_trans h₁ h₂ := TransCmp.lt_le_trans h₂ h₁
le_gt_trans h₁ := Decidable.not_imp_not.1 (TransCmp.le_trans · h₁)
exact h := (TransCmp.cmp_congr_left h).symm
instance (cmp cut) [@IsStrictCut α cmp cut] : IsStrictCut (flip cmp) (cut · |>.swap) where
exact h := by
have : TransCmp cmp := inferInstanceAs (TransCmp (flip (flip cmp)))
rw [← IsStrictCut.exact (cmp := cmp) (Ordering.swap_inj.1 h), OrientedCmp.symm]; rfl
section fold
theorem foldr_cons (t : RBNode α) (l) : t.foldr (·::·) l = t.toList ++ l := by
unfold toList
induction t generalizing l with
| nil => rfl
| node _ a _ b iha ihb => rw [foldr, foldr, iha, iha (_::_), ihb]; simp
@[simp] theorem toList_nil : (.nil : RBNode α).toList = [] := rfl
@[simp] theorem toList_node : (.node c a x b : RBNode α).toList = a.toList ++ x :: b.toList := by
rw [toList, foldr, foldr_cons]; rfl
@[simp] theorem toList_reverse (t : RBNode α) : t.reverse.toList = t.toList.reverse := by
induction t <;> simp [*]
@[simp] theorem mem_toList {t : RBNode α} : x ∈ t.toList ↔ x ∈ t := by
induction t <;> simp [*, or_left_comm]
@[simp] theorem mem_reverse {t : RBNode α} : a ∈ t.reverse ↔ a ∈ t := by rw [← mem_toList]; simp
theorem min?_eq_toList_head? {t : RBNode α} : t.min? = t.toList.head? := by
induction t with
| nil => rfl
| node _ l _ _ ih =>
cases l <;> simp [RBNode.min?, ih]
next ll _ _ => cases toList ll <;> rfl
theorem max?_eq_toList_getLast? {t : RBNode α} : t.max? = t.toList.getLast? := by
rw [← min?_reverse, min?_eq_toList_head?]; simp
theorem foldr_eq_foldr_toList {t : RBNode α} : t.foldr f init = t.toList.foldr f init := by
induction t generalizing init <;> simp [*]
theorem foldl_eq_foldl_toList {t : RBNode α} : t.foldl f init = t.toList.foldl f init := by
induction t generalizing init <;> simp [*]
theorem foldl_reverse {α β : Type _} {t : RBNode α} {f : β → α → β} {init : β} :
t.reverse.foldl f init = t.foldr (flip f) init := by
simp (config := {unfoldPartialApp := true})
[foldr_eq_foldr_toList, foldl_eq_foldl_toList, flip]
theorem foldr_reverse {α β : Type _} {t : RBNode α} {f : α → β → β} {init : β} :
t.reverse.foldr f init = t.foldl (flip f) init :=
foldl_reverse.symm.trans (by simp; rfl)
theorem forM_eq_forM_toList [Monad m] [LawfulMonad m] {t : RBNode α} :
t.forM (m := m) f = t.toList.forM f := by induction t <;> simp [*]
theorem foldlM_eq_foldlM_toList [Monad m] [LawfulMonad m] {t : RBNode α} :
t.foldlM (m := m) f init = t.toList.foldlM f init := by
induction t generalizing init <;> simp [*]
theorem forIn_visit_eq_bindList [Monad m] [LawfulMonad m] {t : RBNode α} :
forIn.visit (m := m) f t init = (ForInStep.yield init).bindList f t.toList := by
induction t generalizing init <;> simp [*, forIn.visit]
theorem forIn_eq_forIn_toList [Monad m] [LawfulMonad m] {t : RBNode α} :
forIn (m := m) t init f = forIn t.toList init f := by
conv => lhs; simp only [forIn, RBNode.forIn]
rw [List.forIn_eq_bindList, forIn_visit_eq_bindList]
end fold
namespace Stream
attribute [simp] foldl foldr
theorem foldr_cons (t : RBNode.Stream α) (l) : t.foldr (·::·) l = t.toList ++ l := by
unfold toList; apply Eq.symm; induction t <;> simp [*, foldr, RBNode.foldr_cons]
@[simp] theorem toList_nil : (.nil : RBNode.Stream α).toList = [] := rfl
@[simp] theorem toList_cons :
(.cons x r s : RBNode.Stream α).toList = x :: r.toList ++ s.toList := by
rw [toList, toList, foldr, RBNode.foldr_cons]; rfl
theorem foldr_eq_foldr_toList {s : RBNode.Stream α} : s.foldr f init = s.toList.foldr f init := by
induction s <;> simp [*, RBNode.foldr_eq_foldr_toList]
theorem foldl_eq_foldl_toList {t : RBNode.Stream α} : t.foldl f init = t.toList.foldl f init := by
induction t generalizing init <;> simp [*, RBNode.foldl_eq_foldl_toList]
theorem forIn_eq_forIn_toList [Monad m] [LawfulMonad m] {t : RBNode α} :
forIn (m := m) t init f = forIn t.toList init f := by
conv => lhs; simp only [forIn, RBNode.forIn]
rw [List.forIn_eq_bindList, forIn_visit_eq_bindList]
end Stream
theorem toStream_toList' {t : RBNode α} {s} : (t.toStream s).toList = t.toList ++ s.toList := by
induction t generalizing s <;> simp [*, toStream]
@[simp] theorem toStream_toList {t : RBNode α} : t.toStream.toList = t.toList := by
simp [toStream_toList']
theorem Stream.next?_toList {s : RBNode.Stream α} :
(s.next?.map fun (a, b) => (a, b.toList)) = s.toList.next? := by
cases s <;> simp [next?, toStream_toList']
theorem ordered_iff {t : RBNode α} :
t.Ordered cmp ↔ t.toList.Pairwise (cmpLT cmp) := by
induction t with
| nil => simp
| node c l v r ihl ihr =>
simp [*, List.pairwise_append, Ordered, All_def,
and_assoc, and_left_comm, and_comm, imp_and, forall_and]
exact fun _ _ hl hr a ha b hb => (hl _ ha).trans (hr _ hb)
theorem Ordered.toList_sorted {t : RBNode α} : t.Ordered cmp → t.toList.Pairwise (cmpLT cmp) :=
ordered_iff.1
theorem min?_mem {t : RBNode α} (h : t.min? = some a) : a ∈ t := by
rw [min?_eq_toList_head?] at h
rw [← mem_toList]
revert h; cases toList t <;> rintro ⟨⟩; constructor
theorem Ordered.min?_le {t : RBNode α} [TransCmp cmp] (ht : t.Ordered cmp) (h : t.min? = some a)
(x) (hx : x ∈ t) : cmp a x ≠ .gt := by
rw [min?_eq_toList_head?] at h
rw [← mem_toList] at hx
have := ht.toList_sorted
revert h hx this; cases toList t <;> rintro ⟨⟩ (_ | ⟨_, hx⟩) (_ | ⟨h1,h2⟩)
· rw [OrientedCmp.cmp_refl (cmp := cmp)]; decide
· rw [(h1 _ hx).1]; decide
theorem max?_mem {t : RBNode α} (h : t.max? = some a) : a ∈ t := by
simpa using min?_mem ((min?_reverse _).trans h)
theorem Ordered.le_max? {t : RBNode α} [TransCmp cmp] (ht : t.Ordered cmp) (h : t.max? = some a)
(x) (hx : x ∈ t) : cmp x a ≠ .gt :=
ht.reverse.min?_le ((min?_reverse _).trans h) _ (by simpa using hx)
@[simp] theorem setBlack_toList {t : RBNode α} : t.setBlack.toList = t.toList := by
cases t <;> simp [setBlack]
@[simp] theorem setRed_toList {t : RBNode α} : t.setRed.toList = t.toList := by
cases t <;> simp [setRed]
@[simp] theorem balance1_toList {l : RBNode α} {v r} :
(l.balance1 v r).toList = l.toList ++ v :: r.toList := by
unfold balance1; split <;> simp
@[simp] theorem balance2_toList {l : RBNode α} {v r} :
(l.balance2 v r).toList = l.toList ++ v :: r.toList := by
unfold balance2; split <;> simp
@[simp] theorem balLeft_toList {l : RBNode α} {v r} :
(l.balLeft v r).toList = l.toList ++ v :: r.toList := by
unfold balLeft; split <;> (try simp); split <;> simp
@[simp] theorem balRight_toList {l : RBNode α} {v r} :
(l.balRight v r).toList = l.toList ++ v :: r.toList := by
unfold balRight; split <;> (try simp); split <;> simp
theorem size_eq {t : RBNode α} : t.size = t.toList.length := by
induction t <;> simp [*, size]; rfl
@[simp] theorem reverse_size (t : RBNode α) : t.reverse.size = t.size := by simp [size_eq]
@[simp] theorem Any_reverse {t : RBNode α} : t.reverse.Any p ↔ t.Any p := by simp [Any_def]
@[simp] theorem memP_reverse {t : RBNode α} : MemP cut t.reverse ↔ MemP (cut · |>.swap) t := by
simp [MemP]; apply Iff.of_eq; congr; funext x; rw [← Ordering.swap_inj]; rfl
theorem Mem_reverse [@OrientedCmp α cmp] {t : RBNode α} :
Mem cmp x t.reverse ↔ Mem (flip cmp) x t := by
simp [Mem]; apply Iff.of_eq; congr; funext x; rw [OrientedCmp.symm]; rfl
section find?
theorem find?_some_eq_eq {t : RBNode α} : x ∈ t.find? cut → cut x = .eq := by
induction t <;> simp [find?]; split <;> try assumption
intro | rfl => assumption
theorem find?_some_mem {t : RBNode α} : x ∈ t.find? cut → x ∈ t := by
induction t <;> simp [find?]; split <;> simp (config := {contextual := true}) [*]
theorem find?_some_memP {t : RBNode α} (h : x ∈ t.find? cut) : MemP cut t :=
memP_def.2 ⟨_, find?_some_mem h, find?_some_eq_eq h⟩
theorem Ordered.memP_iff_find? [@TransCmp α cmp] [IsCut cmp cut] (ht : Ordered cmp t) :
MemP cut t ↔ ∃ x, t.find? cut = some x := by
refine ⟨fun H => ?_, fun ⟨x, h⟩ => find?_some_memP h⟩
induction t with simp [find?] at H ⊢
| nil => cases H
| node _ l _ r ihl ihr =>
let ⟨lx, xr, hl, hr⟩ := ht
split
· next ev =>
refine ihl hl ?_
rcases H with ev' | hx | hx
· cases ev.symm.trans ev'
· exact hx
· have ⟨z, hz, ez⟩ := Any_def.1 hx
cases ez.symm.trans <| IsCut.lt_trans (All_def.1 xr _ hz).1 ev
· next ev =>
refine ihr hr ?_
rcases H with ev' | hx | hx
· cases ev.symm.trans ev'
· have ⟨z, hz, ez⟩ := Any_def.1 hx
cases ez.symm.trans <| IsCut.gt_trans (All_def.1 lx _ hz).1 ev
· exact hx
· exact ⟨_, rfl⟩
theorem Ordered.unique [@TransCmp α cmp] (ht : Ordered cmp t)
(hx : x ∈ t) (hy : y ∈ t) (e : cmp x y = .eq) : x = y := by
induction t with
| nil => cases hx
| node _ l _ r ihl ihr =>
let ⟨lx, xr, hl, hr⟩ := ht
rcases hx, hy with ⟨rfl | hx | hx, rfl | hy | hy⟩
· rfl
· cases e.symm.trans <| OrientedCmp.cmp_eq_gt.2 (All_def.1 lx _ hy).1
· cases e.symm.trans (All_def.1 xr _ hy).1
· cases e.symm.trans (All_def.1 lx _ hx).1
· exact ihl hl hx hy
· cases e.symm.trans ((All_def.1 lx _ hx).trans (All_def.1 xr _ hy)).1
· cases e.symm.trans <| OrientedCmp.cmp_eq_gt.2 (All_def.1 xr _ hx).1
· cases e.symm.trans <| OrientedCmp.cmp_eq_gt.2
((All_def.1 lx _ hy).trans (All_def.1 xr _ hx)).1
· exact ihr hr hx hy
theorem Ordered.find?_some [@TransCmp α cmp] [IsStrictCut cmp cut] (ht : Ordered cmp t) :
t.find? cut = some x ↔ x ∈ t ∧ cut x = .eq := by
refine ⟨fun h => ⟨find?_some_mem h, find?_some_eq_eq h⟩, fun ⟨hx, e⟩ => ?_⟩
have ⟨y, hy⟩ := ht.memP_iff_find?.1 (memP_def.2 ⟨_, hx, e⟩)
exact ht.unique hx (find?_some_mem hy) ((IsStrictCut.exact e).trans (find?_some_eq_eq hy)) ▸ hy
@[simp] theorem find?_reverse (t : RBNode α) (cut : α → Ordering) :
t.reverse.find? cut = t.find? (cut · |>.swap) := by
induction t <;> simp [*, find?]
cases cut _ <;> simp [Ordering.swap]
/--
Auxiliary definition for `zoom_ins`: set the root of the tree to `v`, creating a node if necessary.
-/
def setRoot (v : α) : RBNode α → RBNode α
| nil => node red nil v nil
| node c a _ b => node c a v b
/--
Auxiliary definition for `zoom_ins`: set the root of the tree to `v`, creating a node if necessary.
-/
def delRoot : RBNode α → RBNode α
| nil => nil
| node _ a _ b => a.append b
end find?
section «upperBound? and lowerBound?»
@[simp] theorem upperBound?_reverse (t : RBNode α) (cut ub) :
t.reverse.upperBound? cut ub = t.lowerBound? (cut · |>.swap) ub := by
induction t generalizing ub <;> simp [lowerBound?, upperBound?]
split <;> simp [*, Ordering.swap]
@[simp] theorem lowerBound?_reverse (t : RBNode α) (cut lb) :
t.reverse.lowerBound? cut lb = t.upperBound? (cut · |>.swap) lb := by
simpa using (upperBound?_reverse t.reverse (cut · |>.swap) lb).symm
theorem upperBound?_eq_find? {t : RBNode α} {cut} (ub) (H : t.find? cut = some x) :
t.upperBound? cut ub = some x := by
induction t generalizing ub with simp [find?] at H
| node c a y b iha ihb =>
simp [upperBound?]; split at H
· apply iha _ H
· apply ihb _ H
· exact H
theorem lowerBound?_eq_find? {t : RBNode α} {cut} (lb) (H : t.find? cut = some x) :
t.lowerBound? cut lb = some x := by
rw [← reverse_reverse t] at H ⊢; rw [lowerBound?_reverse]; rw [find?_reverse] at H
exact upperBound?_eq_find? _ H
/-- The value `x` returned by `upperBound?` is greater or equal to the `cut`. -/
theorem upperBound?_ge' {t : RBNode α} (H : ∀ {x}, x ∈ ub → cut x ≠ .gt) :
t.upperBound? cut ub = some x → cut x ≠ .gt := by
induction t generalizing ub with
| nil => exact H
| node _ _ _ _ ihl ihr =>
simp [upperBound?]; split
· next hv => exact ihl fun | rfl, e => nomatch hv.symm.trans e
· exact ihr H
· next hv => intro | rfl, e => cases hv.symm.trans e
/-- The value `x` returned by `upperBound?` is greater or equal to the `cut`. -/
theorem upperBound?_ge {t : RBNode α} : t.upperBound? cut = some x → cut x ≠ .gt :=
upperBound?_ge' nofun
/-- The value `x` returned by `lowerBound?` is less or equal to the `cut`. -/
theorem lowerBound?_le' {t : RBNode α} (H : ∀ {x}, x ∈ lb → cut x ≠ .lt) :
t.lowerBound? cut lb = some x → cut x ≠ .lt := by
rw [← reverse_reverse t, lowerBound?_reverse, Ne, ← Ordering.swap_inj]
exact upperBound?_ge' fun h => by specialize H h; rwa [Ne, ← Ordering.swap_inj] at H
/-- The value `x` returned by `lowerBound?` is less or equal to the `cut`. -/
theorem lowerBound?_le {t : RBNode α} : t.lowerBound? cut = some x → cut x ≠ .lt :=
lowerBound?_le' nofun
theorem All.upperBound?_ub {t : RBNode α} (hp : t.All p) (H : ∀ {x}, ub = some x → p x) :
t.upperBound? cut ub = some x → p x := by
induction t generalizing ub with
| nil => exact H
| node _ _ _ _ ihl ihr =>
simp [upperBound?]; split
· exact ihl hp.2.1 fun | rfl => hp.1
· exact ihr hp.2.2 H
· exact fun | rfl => hp.1
theorem All.upperBound? {t : RBNode α} (hp : t.All p) : t.upperBound? cut = some x → p x :=
hp.upperBound?_ub nofun
theorem All.lowerBound?_lb {t : RBNode α} (hp : t.All p) (H : ∀ {x}, lb = some x → p x) :
t.lowerBound? cut lb = some x → p x := by
rw [← reverse_reverse t, lowerBound?_reverse]
exact All.upperBound?_ub (All.reverse.2 hp) H
theorem All.lowerBound? {t : RBNode α} (hp : t.All p) : t.lowerBound? cut = some x → p x :=
hp.lowerBound?_lb nofun
theorem upperBound?_mem_ub {t : RBNode α}
(h : t.upperBound? cut ub = some x) : x ∈ t ∨ ub = some x :=
All.upperBound?_ub (p := fun x => x ∈ t ∨ ub = some x) (All_def.2 fun _ => .inl) Or.inr h
theorem upperBound?_mem {t : RBNode α} (h : t.upperBound? cut = some x) : x ∈ t :=
(upperBound?_mem_ub h).resolve_right nofun
theorem lowerBound?_mem_lb {t : RBNode α}
(h : t.lowerBound? cut lb = some x) : x ∈ t ∨ lb = some x :=
All.lowerBound?_lb (p := fun x => x ∈ t ∨ lb = some x) (All_def.2 fun _ => .inl) Or.inr h
theorem lowerBound?_mem {t : RBNode α} (h : t.lowerBound? cut = some x) : x ∈ t :=
(lowerBound?_mem_lb h).resolve_right nofun
theorem upperBound?_of_some {t : RBNode α} : ∃ x, t.upperBound? cut (some y) = some x := by
induction t generalizing y <;> simp [upperBound?]; split <;> simp [*]
theorem lowerBound?_of_some {t : RBNode α} : ∃ x, t.lowerBound? cut (some y) = some x := by
rw [← reverse_reverse t, lowerBound?_reverse]; exact upperBound?_of_some
theorem Ordered.upperBound?_exists [@TransCmp α cmp] [IsCut cmp cut] (h : Ordered cmp t) :
(∃ x, t.upperBound? cut = some x) ↔ ∃ x ∈ t, cut x ≠ .gt := by
refine ⟨fun ⟨x, hx⟩ => ⟨_, upperBound?_mem hx, upperBound?_ge hx⟩, fun H => ?_⟩
obtain ⟨x, hx, e⟩ := H
induction t generalizing x with
| nil => cases hx
| node _ _ _ _ _ ihr =>
simp [upperBound?]; split
· exact upperBound?_of_some
· rcases hx with rfl | hx | hx
· contradiction
· next hv => cases e <| IsCut.gt_trans (All_def.1 h.1 _ hx).1 hv
· exact ihr h.2.2.2 _ hx e
· exact ⟨_, rfl⟩
theorem Ordered.lowerBound?_exists [@TransCmp α cmp] [IsCut cmp cut] (h : Ordered cmp t) :
(∃ x, t.lowerBound? cut = some x) ↔ ∃ x ∈ t, cut x ≠ .lt := by
conv => enter [2, 1, x]; rw [Ne, ← Ordering.swap_inj]
rw [← reverse_reverse t, lowerBound?_reverse]
simpa [-Ordering.swap_inj] using h.reverse.upperBound?_exists (cut := (cut · |>.swap))
theorem Ordered.upperBound?_least_ub [@TransCmp α cmp] [IsCut cmp cut] (h : Ordered cmp t)
(hub : ∀ {x}, ub = some x → t.All (cmpLT cmp · x)) :
t.upperBound? cut ub = some x → y ∈ t → cut x = .lt → cmp y x = .lt → cut y = .gt := by
induction t generalizing ub with
| nil => nofun
| node _ _ _ _ ihl ihr =>
simp [upperBound?]; split <;> rename_i hv <;> rintro h₁ (rfl | hy' | hy') hx h₂
· rcases upperBound?_mem_ub h₁ with h₁ | ⟨⟨⟩⟩
· cases TransCmp.lt_asymm h₂ (All_def.1 h.1 _ h₁).1
· cases TransCmp.lt_asymm h₂ h₂
· exact ihl h.2.2.1 (by rintro _ ⟨⟨⟩⟩; exact h.1) h₁ hy' hx h₂
· refine (TransCmp.lt_asymm h₂ ?_).elim; have := (All_def.1 h.2.1 _ hy').1
rcases upperBound?_mem_ub h₁ with h₁ | ⟨⟨⟩⟩
· exact TransCmp.lt_trans (All_def.1 h.1 _ h₁).1 this
· exact this
· exact hv
· exact IsCut.gt_trans (cut := cut) (cmp := cmp) (All_def.1 h.1 _ hy').1 hv
· exact ihr h.2.2.2 (fun h => (hub h).2.2) h₁ hy' hx h₂
· cases h₁; cases TransCmp.lt_asymm h₂ h₂
· cases h₁; cases hx.symm.trans hv
· cases h₁; cases hx.symm.trans hv
theorem Ordered.lowerBound?_greatest_lb [@TransCmp α cmp] [IsCut cmp cut] (h : Ordered cmp t)
(hlb : ∀ {x}, lb = some x → t.All (cmpLT cmp x ·)) :
t.lowerBound? cut lb = some x → y ∈ t → cut x = .gt → cmp x y = .lt → cut y = .lt := by
intro h1 h2 h3 h4
rw [← reverse_reverse t, lowerBound?_reverse] at h1
rw [← Ordering.swap_inj] at h3 ⊢
revert h2 h3 h4
simpa [-Ordering.swap_inj] using
h.reverse.upperBound?_least_ub (fun h => All.reverse.2 <| (hlb h).imp .flip) h1
/--
A statement of the least-ness of the result of `upperBound?`. If `x` is the return value of
`upperBound?` and it is strictly greater than the cut, then any other `y < x` in the tree is in fact
strictly less than the cut (so there is no exact match, and nothing closer to the cut).
-/
theorem Ordered.upperBound?_least [@TransCmp α cmp] [IsCut cmp cut] (ht : Ordered cmp t)
(H : t.upperBound? cut = some x) (hy : y ∈ t)
(xy : cmp y x = .lt) (hx : cut x = .lt) : cut y = .gt :=
ht.upperBound?_least_ub (by nofun) H hy hx xy
/--
A statement of the greatest-ness of the result of `lowerBound?`. If `x` is the return value of
`lowerBound?` and it is strictly less than the cut, then any other `y > x` in the tree is in fact
strictly greater than the cut (so there is no exact match, and nothing closer to the cut).
-/
theorem Ordered.lowerBound?_greatest [@TransCmp α cmp] [IsCut cmp cut] (ht : Ordered cmp t)
(H : t.lowerBound? cut none = some x) (hy : y ∈ t)
(xy : cmp x y = .lt) (hx : cut x = .gt) : cut y = .lt :=
ht.lowerBound?_greatest_lb (by nofun) H hy hx xy
theorem Ordered.memP_iff_upperBound? [@TransCmp α cmp] [IsCut cmp cut] (ht : Ordered cmp t) :
t.MemP cut ↔ ∃ x, t.upperBound? cut = some x ∧ cut x = .eq := by
refine memP_def.trans ⟨fun ⟨y, hy, ey⟩ => ?_, fun ⟨x, hx, e⟩ => ⟨_, upperBound?_mem hx, e⟩⟩
have ⟨x, hx⟩ := ht.upperBound?_exists.2 ⟨_, hy, fun h => nomatch ey.symm.trans h⟩
refine ⟨x, hx, ?_⟩; cases ex : cut x
· cases e : cmp x y
· cases ey.symm.trans <| IsCut.lt_trans e ex
· cases ey.symm.trans <| IsCut.congr e |>.symm.trans ex
· cases ey.symm.trans <| ht.upperBound?_least hx hy (OrientedCmp.cmp_eq_gt.1 e) ex
· rfl
· cases upperBound?_ge hx ex
theorem Ordered.memP_iff_lowerBound? [@TransCmp α cmp] [IsCut cmp cut] (ht : Ordered cmp t) :
t.MemP cut ↔ ∃ x, t.lowerBound? cut = some x ∧ cut x = .eq := by
refine memP_def.trans ⟨fun ⟨y, hy, ey⟩ => ?_, fun ⟨x, hx, e⟩ => ⟨_, lowerBound?_mem hx, e⟩⟩
have ⟨x, hx⟩ := ht.lowerBound?_exists.2 ⟨_, hy, fun h => nomatch ey.symm.trans h⟩
refine ⟨x, hx, ?_⟩; cases ex : cut x
· cases lowerBound?_le hx ex
· rfl
· cases e : cmp x y
· cases ey.symm.trans <| ht.lowerBound?_greatest hx hy e ex
· cases ey.symm.trans <| IsCut.congr e |>.symm.trans ex
· cases ey.symm.trans <| IsCut.gt_trans (OrientedCmp.cmp_eq_gt.1 e) ex
/-- A stronger version of `lowerBound?_greatest` that holds when the cut is strict. -/
theorem Ordered.lowerBound?_lt [@TransCmp α cmp] [IsStrictCut cmp cut] (ht : Ordered cmp t)
(H : t.lowerBound? cut = some x) (hy : y ∈ t) : cmp x y = .lt ↔ cut y = .lt := by
refine ⟨fun h => ?_, fun h => OrientedCmp.cmp_eq_gt.1 ?_⟩
· cases e : cut x
· cases lowerBound?_le H e
· exact IsStrictCut.exact e |>.symm.trans h
· exact ht.lowerBound?_greatest H hy h e
· by_contra h'; exact lowerBound?_le H <| IsCut.le_lt_trans (cmp := cmp) (cut := cut) h' h
/-- A stronger version of `upperBound?_least` that holds when the cut is strict. -/
theorem Ordered.lt_upperBound? [@TransCmp α cmp] [IsStrictCut cmp cut] (ht : Ordered cmp t)
(H : t.upperBound? cut = some x) (hy : y ∈ t) : cmp y x = .lt ↔ cut y = .gt := by
rw [← reverse_reverse t, upperBound?_reverse] at H
rw [← Ordering.swap_inj (o₂ := .gt)]
revert hy; simpa [-Ordering.swap_inj] using ht.reverse.lowerBound?_lt H
end «upperBound? and lowerBound?»
namespace Path
attribute [simp] RootOrdered Ordered
/-- The list of elements to the left of the hole.
(This function is intended for specification purposes only.) -/
@[simp] def listL : Path α → List α
| .root => []
| .left _ parent _ _ => parent.listL
| .right _ l v parent => parent.listL ++ (l.toList ++ [v])
/-- The list of elements to the right of the hole.
(This function is intended for specification purposes only.) -/
@[simp] def listR : Path α → List α
| .root => []
| .left _ parent v r => v :: r.toList ++ parent.listR
| .right _ _ _ parent => parent.listR
/-- Wraps a list of elements with the left and right elements of the path. -/
abbrev withList (p : Path α) (l : List α) : List α := p.listL ++ l ++ p.listR
theorem rootOrdered_iff {p : Path α} (hp : p.Ordered cmp) :
p.RootOrdered cmp v ↔ (∀ a ∈ p.listL, cmpLT cmp a v) ∧ (∀ a ∈ p.listR, cmpLT cmp v a) := by
induction p with
(simp [All_def] at hp; simp [*, and_assoc, and_left_comm, and_comm, or_imp, forall_and])
| left _ _ x _ ih => exact fun vx _ _ _ ha => vx.trans (hp.2.1 _ ha)
| right _ _ x _ ih => exact fun xv _ _ _ ha => (hp.2.1 _ ha).trans xv
theorem ordered_iff {p : Path α} :
p.Ordered cmp ↔ p.listL.Pairwise (cmpLT cmp) ∧ p.listR.Pairwise (cmpLT cmp) ∧
∀ x ∈ p.listL, ∀ y ∈ p.listR, cmpLT cmp x y := by
induction p with
| root => simp
| left _ _ x _ ih | right _ _ x _ ih => ?_
all_goals
rw [Ordered, and_congr_right_eq fun h => by simp [All_def, rootOrdered_iff h]; rfl]
simp [List.pairwise_append, or_imp, forall_and, ih, RBNode.ordered_iff]
-- FIXME: simp [and_assoc, and_left_comm, and_comm] is really slow here
· exact ⟨
fun ⟨⟨hL, hR, LR⟩, xr, ⟨Lx, xR⟩, ⟨rL, rR⟩, hr⟩ =>
⟨hL, ⟨⟨xr, xR⟩, hr, hR, rR⟩, Lx, fun _ ha _ hb => rL _ hb _ ha, LR⟩,
fun ⟨hL, ⟨⟨xr, xR⟩, hr, hR, rR⟩, Lx, Lr, LR⟩ =>
⟨⟨hL, hR, LR⟩, xr, ⟨Lx, xR⟩, ⟨fun _ ha _ hb => Lr _ hb _ ha, rR⟩, hr⟩⟩
· exact ⟨
fun ⟨⟨hL, hR, LR⟩, lx, ⟨Lx, xR⟩, ⟨lL, lR⟩, hl⟩ =>
⟨⟨hL, ⟨hl, lx⟩, fun _ ha _ hb => lL _ hb _ ha, Lx⟩, hR, LR, lR, xR⟩,
fun ⟨⟨hL, ⟨hl, lx⟩, Ll, Lx⟩, hR, LR, lR, xR⟩ =>
⟨⟨hL, hR, LR⟩, lx, ⟨Lx, xR⟩, ⟨fun _ ha _ hb => Ll _ hb _ ha, lR⟩, hl⟩⟩
theorem zoom_zoomed₁ (e : zoom cut t path = (t', path')) : t'.OnRoot (cut · = .eq) :=
match t, e with
| nil, rfl => trivial
| node .., e => by
revert e; unfold zoom; split
· exact zoom_zoomed₁
· exact zoom_zoomed₁
· next H => intro e; cases e; exact H
@[simp] theorem fill_toList {p : Path α} : (p.fill t).toList = p.withList t.toList := by
induction p generalizing t <;> simp [*]
theorem _root_.Batteries.RBNode.zoom_toList {t : RBNode α} (eq : t.zoom cut = (t', p')) :
p'.withList t'.toList = t.toList := by rw [← fill_toList, ← zoom_fill eq]; rfl
@[simp] theorem ins_toList {p : Path α} : (p.ins t).toList = p.withList t.toList := by
match p with
| .root | .left red .. | .right red .. | .left black .. | .right black .. =>
simp [ins, ins_toList]
@[simp] theorem insertNew_toList {p : Path α} : (p.insertNew v).toList = p.withList [v] := by
simp [insertNew]
theorem insert_toList {p : Path α} :
(p.insert t v).toList = p.withList (t.setRoot v).toList := by
simp [insert]; split <;> simp [setRoot]
protected theorem Balanced.insert {path : Path α} (hp : path.Balanced c₀ n₀ c n) :
t.Balanced c n → ∃ c n, (path.insert t v).Balanced c n
| .nil => ⟨_, hp.insertNew⟩
| .red ha hb => ⟨_, _, hp.fill (.red ha hb)⟩
| .black ha hb => ⟨_, _, hp.fill (.black ha hb)⟩
theorem Ordered.insert : ∀ {path : Path α} {t : RBNode α},
path.Ordered cmp → t.Ordered cmp → t.All (path.RootOrdered cmp) → path.RootOrdered cmp v →
t.OnRoot (cmpEq cmp v) → (path.insert t v).Ordered cmp
| _, nil, hp, _, _, vp, _ => hp.insertNew vp
| _, node .., hp, ⟨ax, xb, ha, hb⟩, ⟨_, ap, bp⟩, vp, xv => Ordered.fill.2
⟨hp, ⟨ax.imp xv.lt_congr_right.2, xb.imp xv.lt_congr_left.2, ha, hb⟩, vp, ap, bp⟩
theorem Ordered.erase : ∀ {path : Path α} {t : RBNode α},
path.Ordered cmp → t.Ordered cmp → t.All (path.RootOrdered cmp) → (path.erase t).Ordered cmp
| _, nil, hp, ht, tp => Ordered.fill.2 ⟨hp, ht, tp⟩
| _, node .., hp, ⟨ax, xb, ha, hb⟩, ⟨_, ap, bp⟩ => hp.del (ha.append ax xb hb) (ap.append bp)
theorem zoom_ins {t : RBNode α} {cmp : α → α → Ordering} :
t.zoom (cmp v) path = (t', path') →
path.ins (t.ins cmp v) = path'.ins (t'.setRoot v) := by
unfold RBNode.ins; split <;> simp [zoom]
· intro | rfl, rfl => rfl
all_goals
· split
· exact zoom_ins
· exact zoom_ins
· intro | rfl => rfl
theorem insertNew_eq_insert (h : zoom (cmp v) t = (nil, path)) :
path.insertNew v = (t.insert cmp v).setBlack :=
insert_setBlack .. ▸ (zoom_ins h).symm
theorem ins_eq_fill {path : Path α} {t : RBNode α} :
path.Balanced c₀ n₀ c n → t.Balanced c n → path.ins t = (path.fill t).setBlack
| .root, h => rfl
| .redL hb H, ha | .redR ha H, hb => by unfold ins; exact ins_eq_fill H (.red ha hb)
| .blackL hb H, ha => by rw [ins, fill, ← ins_eq_fill H (.black ha hb), balance1_eq ha]
| .blackR ha H, hb => by rw [ins, fill, ← ins_eq_fill H (.black ha hb), balance2_eq hb]
theorem zoom_insert {path : Path α} {t : RBNode α} (ht : t.Balanced c n)
(H : zoom (cmp v) t = (t', path)) :
(path.insert t' v).setBlack = (t.insert cmp v).setBlack := by
have ⟨_, _, ht', hp'⟩ := ht.zoom .root H
cases ht' with simp [insert]
| nil => simp [insertNew_eq_insert H, setBlack_idem]
| red hl hr => rw [← ins_eq_fill hp' (.red hl hr), insert_setBlack]; exact (zoom_ins H).symm
| black hl hr => rw [← ins_eq_fill hp' (.black hl hr), insert_setBlack]; exact (zoom_ins H).symm
theorem zoom_del {t : RBNode α} :
t.zoom cut path = (t', path') →
path.del (t.del cut) (match t with | node c .. => c | _ => red) =
path'.del t'.delRoot (match t' with | node c .. => c | _ => red) := by
unfold RBNode.del; split <;> simp [zoom]
· intro | rfl, rfl => rfl
· next c a y b =>
split
· have IH := @zoom_del (t := a)
match a with
| nil => intro | rfl => rfl
| node black .. | node red .. => apply IH
· have IH := @zoom_del (t := b)
match b with
| nil => intro | rfl => rfl
| node black .. | node red .. => apply IH
· intro | rfl => rfl
/-- Asserts that `p` holds on all elements to the left of the hole. -/
def AllL (p : α → Prop) : Path α → Prop
| .root => True
| .left _ parent _ _ => parent.AllL p
| .right _ a x parent => a.All p ∧ p x ∧ parent.AllL p
/-- Asserts that `p` holds on all elements to the right of the hole. -/
def AllR (p : α → Prop) : Path α → Prop
| .root => True
| .left _ parent x b => parent.AllR p ∧ p x ∧ b.All p
| .right _ _ _ parent => parent.AllR p
end Path
theorem insert_toList_zoom {t : RBNode α} (ht : Balanced t c n)
(e : zoom (cmp v) t = (t', p)) :
(t.insert cmp v).toList = p.withList (t'.setRoot v).toList := by
rw [← setBlack_toList, ← Path.zoom_insert ht e, setBlack_toList, Path.insert_toList]
theorem insert_toList_zoom_nil {t : RBNode α} (ht : Balanced t c n)
(e : zoom (cmp v) t = (nil, p)) :
(t.insert cmp v).toList = p.withList [v] := insert_toList_zoom ht e
theorem exists_insert_toList_zoom_nil {t : RBNode α} (ht : Balanced t c n)
(e : zoom (cmp v) t = (nil, p)) :
∃ L R, t.toList = L ++ R ∧ (t.insert cmp v).toList = L ++ v :: R :=
⟨p.listL, p.listR, by simp [← zoom_toList e, insert_toList_zoom_nil ht e]⟩
theorem insert_toList_zoom_node {t : RBNode α} (ht : Balanced t c n)
(e : zoom (cmp v) t = (node c' l v' r, p)) :
(t.insert cmp v).toList = p.withList (node c l v r).toList := insert_toList_zoom ht e
theorem exists_insert_toList_zoom_node {t : RBNode α} (ht : Balanced t c n)
(e : zoom (cmp v) t = (node c' l v' r, p)) :
∃ L R, t.toList = L ++ v' :: R ∧ (t.insert cmp v).toList = L ++ v :: R := by
refine ⟨p.listL ++ l.toList, r.toList ++ p.listR, ?_⟩
simp [← zoom_toList e, insert_toList_zoom_node ht e]
| .lake/packages/batteries/Batteries/Data/RBMap/Lemmas.lean | 767 | 771 | theorem mem_insert_self {t : RBNode α} (ht : Balanced t c n) : v ∈ t.insert cmp v := by |
rw [← mem_toList, List.mem_iff_append]
exact match e : zoom (cmp v) t with
| (nil, p) => let ⟨_, _, _, h⟩ := exists_insert_toList_zoom_nil ht e; ⟨_, _, h⟩
| (node .., p) => let ⟨_, _, _, h⟩ := exists_insert_toList_zoom_node ht e; ⟨_, _, h⟩
|
/-
Copyright (c) 2021 Julian Kuelshammer. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Julian Kuelshammer
-/
import Mathlib.Data.ZMod.Quotient
import Mathlib.GroupTheory.NoncommPiCoprod
import Mathlib.GroupTheory.OrderOfElement
import Mathlib.Algebra.GCDMonoid.Finset
import Mathlib.Algebra.GCDMonoid.Nat
import Mathlib.Data.Nat.Factorization.Basic
import Mathlib.Tactic.ByContra
import Mathlib.Tactic.Peel
#align_import group_theory.exponent from "leanprover-community/mathlib"@"52fa514ec337dd970d71d8de8d0fd68b455a1e54"
/-!
# Exponent of a group
This file defines the exponent of a group, or more generally a monoid. For a group `G` it is defined
to be the minimal `n≥1` such that `g ^ n = 1` for all `g ∈ G`. For a finite group `G`,
it is equal to the lowest common multiple of the order of all elements of the group `G`.
## Main definitions
* `Monoid.ExponentExists` is a predicate on a monoid `G` saying that there is some positive `n`
such that `g ^ n = 1` for all `g ∈ G`.
* `Monoid.exponent` defines the exponent of a monoid `G` as the minimal positive `n` such that
`g ^ n = 1` for all `g ∈ G`, by convention it is `0` if no such `n` exists.
* `AddMonoid.ExponentExists` the additive version of `Monoid.ExponentExists`.
* `AddMonoid.exponent` the additive version of `Monoid.exponent`.
## Main results
* `Monoid.lcm_order_eq_exponent`: For a finite left cancel monoid `G`, the exponent is equal to the
`Finset.lcm` of the order of its elements.
* `Monoid.exponent_eq_iSup_orderOf(')`: For a commutative cancel monoid, the exponent is
equal to `⨆ g : G, orderOf g` (or zero if it has any order-zero elements).
* `Monoid.exponent_pi` and `Monoid.exponent_prod`: The exponent of a finite product of monoids is
the least common multiple (`Finset.lcm` and `lcm`, respectively) of the exponents of the
constituent monoids.
* `MonoidHom.exponent_dvd`: If `f : M₁ →⋆ M₂` is surjective, then the exponent of `M₂` divides the
exponent of `M₁`.
## TODO
* Refactor the characteristic of a ring to be the exponent of its underlying additive group.
-/
universe u
variable {G : Type u}
open scoped Classical
namespace Monoid
section Monoid
variable (G) [Monoid G]
/-- A predicate on a monoid saying that there is a positive integer `n` such that `g ^ n = 1`
for all `g`. -/
@[to_additive
"A predicate on an additive monoid saying that there is a positive integer `n` such\n
that `n • g = 0` for all `g`."]
def ExponentExists :=
∃ n, 0 < n ∧ ∀ g : G, g ^ n = 1
#align monoid.exponent_exists Monoid.ExponentExists
#align add_monoid.exponent_exists AddMonoid.ExponentExists
/-- The exponent of a group is the smallest positive integer `n` such that `g ^ n = 1` for all
`g ∈ G` if it exists, otherwise it is zero by convention. -/
@[to_additive
"The exponent of an additive group is the smallest positive integer `n` such that\n
`n • g = 0` for all `g ∈ G` if it exists, otherwise it is zero by convention."]
noncomputable def exponent :=
if h : ExponentExists G then Nat.find h else 0
#align monoid.exponent Monoid.exponent
#align add_monoid.exponent AddMonoid.exponent
variable {G}
@[simp]
theorem _root_.AddMonoid.exponent_additive :
AddMonoid.exponent (Additive G) = exponent G := rfl
@[simp]
theorem exponent_multiplicative {G : Type*} [AddMonoid G] :
exponent (Multiplicative G) = AddMonoid.exponent G := rfl
open MulOpposite in
@[to_additive (attr := simp)]
theorem _root_.MulOpposite.exponent : exponent (MulOpposite G) = exponent G := by
simp only [Monoid.exponent, ExponentExists]
congr!
all_goals exact ⟨(op_injective <| · <| op ·), (unop_injective <| · <| unop ·)⟩
@[to_additive]
theorem ExponentExists.isOfFinOrder (h : ExponentExists G) {g : G} : IsOfFinOrder g :=
isOfFinOrder_iff_pow_eq_one.mpr <| by peel 2 h; exact this g
@[to_additive]
theorem ExponentExists.orderOf_pos (h : ExponentExists G) (g : G) : 0 < orderOf g :=
h.isOfFinOrder.orderOf_pos
@[to_additive]
theorem exponent_ne_zero : exponent G ≠ 0 ↔ ExponentExists G := by
rw [exponent]
split_ifs with h
· simp [h, @not_lt_zero' ℕ]
--if this isn't done this way, `to_additive` freaks
· tauto
#align monoid.exponent_exists_iff_ne_zero Monoid.exponent_ne_zero
#align add_monoid.exponent_exists_iff_ne_zero AddMonoid.exponent_ne_zero
@[to_additive]
protected alias ⟨_, ExponentExists.exponent_ne_zero⟩ := exponent_ne_zero
@[to_additive (attr := deprecated (since := "2024-01-27"))]
theorem exponentExists_iff_ne_zero : ExponentExists G ↔ exponent G ≠ 0 := exponent_ne_zero.symm
@[to_additive]
theorem exponent_pos : 0 < exponent G ↔ ExponentExists G :=
pos_iff_ne_zero.trans exponent_ne_zero
@[to_additive]
protected alias ⟨_, ExponentExists.exponent_pos⟩ := exponent_pos
@[to_additive]
theorem exponent_eq_zero_iff : exponent G = 0 ↔ ¬ExponentExists G :=
exponent_ne_zero.not_right
#align monoid.exponent_eq_zero_iff Monoid.exponent_eq_zero_iff
#align add_monoid.exponent_eq_zero_iff AddMonoid.exponent_eq_zero_iff
@[to_additive exponent_eq_zero_addOrder_zero]
theorem exponent_eq_zero_of_order_zero {g : G} (hg : orderOf g = 0) : exponent G = 0 :=
exponent_eq_zero_iff.mpr fun h ↦ h.orderOf_pos g |>.ne' hg
#align monoid.exponent_eq_zero_of_order_zero Monoid.exponent_eq_zero_of_order_zero
#align add_monoid.exponent_eq_zero_of_order_zero AddMonoid.exponent_eq_zero_addOrder_zero
/-- The exponent is zero iff for all nonzero `n`, one can find a `g` such that `g ^ n ≠ 1`. -/
@[to_additive "The exponent is zero iff for all nonzero `n`, one can find a `g` such that
`n • g ≠ 0`."]
theorem exponent_eq_zero_iff_forall : exponent G = 0 ↔ ∀ n > 0, ∃ g : G, g ^ n ≠ 1 := by
rw [exponent_eq_zero_iff, ExponentExists]
push_neg
rfl
@[to_additive exponent_nsmul_eq_zero]
theorem pow_exponent_eq_one (g : G) : g ^ exponent G = 1 := by
by_cases h : ExponentExists G
· simp_rw [exponent, dif_pos h]
exact (Nat.find_spec h).2 g
· simp_rw [exponent, dif_neg h, pow_zero]
#align monoid.pow_exponent_eq_one Monoid.pow_exponent_eq_one
#align add_monoid.exponent_nsmul_eq_zero AddMonoid.exponent_nsmul_eq_zero
@[to_additive]
theorem pow_eq_mod_exponent {n : ℕ} (g : G) : g ^ n = g ^ (n % exponent G) :=
calc
g ^ n = g ^ (n % exponent G + exponent G * (n / exponent G)) := by rw [Nat.mod_add_div]
_ = g ^ (n % exponent G) := by simp [pow_add, pow_mul, pow_exponent_eq_one]
#align monoid.pow_eq_mod_exponent Monoid.pow_eq_mod_exponent
#align add_monoid.nsmul_eq_mod_exponent AddMonoid.nsmul_eq_mod_exponent
@[to_additive]
theorem exponent_pos_of_exists (n : ℕ) (hpos : 0 < n) (hG : ∀ g : G, g ^ n = 1) :
0 < exponent G :=
ExponentExists.exponent_pos ⟨n, hpos, hG⟩
#align monoid.exponent_pos_of_exists Monoid.exponent_pos_of_exists
#align add_monoid.exponent_pos_of_exists AddMonoid.exponent_pos_of_exists
@[to_additive]
theorem exponent_min' (n : ℕ) (hpos : 0 < n) (hG : ∀ g : G, g ^ n = 1) : exponent G ≤ n := by
rw [exponent, dif_pos]
· apply Nat.find_min'
exact ⟨hpos, hG⟩
· exact ⟨n, hpos, hG⟩
#align monoid.exponent_min' Monoid.exponent_min'
#align add_monoid.exponent_min' AddMonoid.exponent_min'
@[to_additive]
theorem exponent_min (m : ℕ) (hpos : 0 < m) (hm : m < exponent G) : ∃ g : G, g ^ m ≠ 1 := by
by_contra! h
have hcon : exponent G ≤ m := exponent_min' m hpos h
omega
#align monoid.exponent_min Monoid.exponent_min
#align add_monoid.exponent_min AddMonoid.exponent_min
@[to_additive AddMonoid.exp_eq_one_iff]
theorem exp_eq_one_iff : exponent G = 1 ↔ Subsingleton G := by
refine ⟨fun eq_one => ⟨fun a b => ?a_eq_b⟩, fun h => le_antisymm ?le ?ge⟩
· rw [← pow_one a, ← pow_one b, ← eq_one, Monoid.pow_exponent_eq_one, Monoid.pow_exponent_eq_one]
· apply exponent_min' _ Nat.one_pos
simp [eq_iff_true_of_subsingleton]
· apply Nat.succ_le_of_lt
apply exponent_pos_of_exists 1 Nat.one_pos
simp [eq_iff_true_of_subsingleton]
@[to_additive (attr := simp) AddMonoid.exp_eq_one_of_subsingleton]
theorem exp_eq_one_of_subsingleton [hs : Subsingleton G] : exponent G = 1 :=
exp_eq_one_iff.mpr hs
#align monoid.exp_eq_one_of_subsingleton Monoid.exp_eq_one_of_subsingleton
#align add_monoid.exp_eq_zero_of_subsingleton AddMonoid.exp_eq_one_of_subsingleton
@[to_additive addOrder_dvd_exponent]
theorem order_dvd_exponent (g : G) : orderOf g ∣ exponent G :=
orderOf_dvd_of_pow_eq_one <| pow_exponent_eq_one g
#align monoid.order_dvd_exponent Monoid.order_dvd_exponent
#align add_monoid.add_order_dvd_exponent AddMonoid.addOrder_dvd_exponent
@[to_additive]
theorem orderOf_le_exponent (h : ExponentExists G) (g : G) : orderOf g ≤ exponent G :=
Nat.le_of_dvd h.exponent_pos (order_dvd_exponent g)
@[to_additive]
theorem exponent_dvd_iff_forall_pow_eq_one {n : ℕ} : exponent G ∣ n ↔ ∀ g : G, g ^ n = 1 := by
rcases n.eq_zero_or_pos with (rfl | hpos)
· simp
constructor
· intro h g
rw [Nat.dvd_iff_mod_eq_zero] at h
rw [pow_eq_mod_exponent, h, pow_zero]
· intro hG
by_contra h
rw [Nat.dvd_iff_mod_eq_zero, ← Ne, ← pos_iff_ne_zero] at h
have h₂ : n % exponent G < exponent G := Nat.mod_lt _ (exponent_pos_of_exists n hpos hG)
have h₃ : exponent G ≤ n % exponent G := by
apply exponent_min' _ h
simp_rw [← pow_eq_mod_exponent]
exact hG
exact h₂.not_le h₃
@[to_additive]
alias ⟨_, exponent_dvd_of_forall_pow_eq_one⟩ := exponent_dvd_iff_forall_pow_eq_one
#align monoid.exponent_dvd_of_forall_pow_eq_one Monoid.exponent_dvd_of_forall_pow_eq_one
#align add_monoid.exponent_dvd_of_forall_nsmul_eq_zero AddMonoid.exponent_dvd_of_forall_nsmul_eq_zero
@[to_additive]
theorem exponent_dvd {n : ℕ} : exponent G ∣ n ↔ ∀ g : G, orderOf g ∣ n := by
simp_rw [exponent_dvd_iff_forall_pow_eq_one, orderOf_dvd_iff_pow_eq_one]
variable (G)
@[to_additive (attr := deprecated (since := "2024-01-27"))]
theorem exponent_dvd_of_forall_orderOf_dvd (n : ℕ) (h : ∀ g : G, orderOf g ∣ n) : exponent G ∣ n :=
exponent_dvd.mpr h
@[to_additive]
theorem lcm_orderOf_dvd_exponent [Fintype G] :
(Finset.univ : Finset G).lcm orderOf ∣ exponent G := by
apply Finset.lcm_dvd
intro g _
exact order_dvd_exponent g
#align monoid.lcm_order_of_dvd_exponent Monoid.lcm_orderOf_dvd_exponent
#align add_monoid.lcm_add_order_of_dvd_exponent AddMonoid.lcm_addOrderOf_dvd_exponent
@[to_additive exists_addOrderOf_eq_pow_padic_val_nat_add_exponent]
theorem _root_.Nat.Prime.exists_orderOf_eq_pow_factorization_exponent {p : ℕ} (hp : p.Prime) :
∃ g : G, orderOf g = p ^ (exponent G).factorization p := by
haveI := Fact.mk hp
rcases eq_or_ne ((exponent G).factorization p) 0 with (h | h)
· refine ⟨1, by rw [h, pow_zero, orderOf_one]⟩
have he : 0 < exponent G :=
Ne.bot_lt fun ht => by
rw [ht] at h
apply h
rw [bot_eq_zero, Nat.factorization_zero, Finsupp.zero_apply]
rw [← Finsupp.mem_support_iff] at h
obtain ⟨g, hg⟩ : ∃ g : G, g ^ (exponent G / p) ≠ 1 := by
suffices key : ¬exponent G ∣ exponent G / p by
rwa [exponent_dvd_iff_forall_pow_eq_one, not_forall] at key
exact fun hd =>
hp.one_lt.not_le
((mul_le_iff_le_one_left he).mp <|
Nat.le_of_dvd he <| Nat.mul_dvd_of_dvd_div (Nat.dvd_of_mem_primeFactors h) hd)
obtain ⟨k, hk : exponent G = p ^ _ * k⟩ := Nat.ord_proj_dvd _ _
obtain ⟨t, ht⟩ := Nat.exists_eq_succ_of_ne_zero (Finsupp.mem_support_iff.mp h)
refine ⟨g ^ k, ?_⟩
rw [ht]
apply orderOf_eq_prime_pow
· rwa [hk, mul_comm, ht, pow_succ, ← mul_assoc, Nat.mul_div_cancel _ hp.pos, pow_mul] at hg
· rw [← Nat.succ_eq_add_one, ← ht, ← pow_mul, mul_comm, ← hk]
exact pow_exponent_eq_one g
#align nat.prime.exists_order_of_eq_pow_factorization_exponent Nat.Prime.exists_orderOf_eq_pow_factorization_exponent
#align nat.prime.exists_order_of_eq_pow_padic_val_nat_add_exponent Nat.Prime.exists_addOrderOf_eq_pow_padic_val_nat_add_exponent
variable {G} in
open Nat in
/-- If two commuting elements `x` and `y` of a monoid have order `n` and `m`, there is an element
of order `lcm n m`. The result actually gives an explicit (computable) element, written as the
product of a power of `x` and a power of `y`. See also the result below if you don't need the
explicit formula. -/
@[to_additive "If two commuting elements `x` and `y` of an additive monoid have order `n` and `m`,
there is an element of order `lcm n m`. The result actually gives an explicit (computable) element,
written as the sum of a multiple of `x` and a multiple of `y`. See also the result below if you
don't need the explicit formula."]
lemma _root_.Commute.orderOf_mul_pow_eq_lcm {x y : G} (h : Commute x y) (hx : orderOf x ≠ 0)
(hy : orderOf y ≠ 0) :
orderOf (x ^ (orderOf x / (factorizationLCMLeft (orderOf x) (orderOf y))) *
y ^ (orderOf y / factorizationLCMRight (orderOf x) (orderOf y))) =
Nat.lcm (orderOf x) (orderOf y) := by
rw [(h.pow_pow _ _).orderOf_mul_eq_mul_orderOf_of_coprime]
all_goals iterate 2 rw [orderOf_pow_orderOf_div]; try rw [Coprime]
all_goals simp [factorizationLCMLeft_mul_factorizationLCMRight, factorizationLCMLeft_dvd_left,
factorizationLCMRight_dvd_right, coprime_factorizationLCMLeft_factorizationLCMRight, hx, hy]
open Submonoid in
/-- If two commuting elements `x` and `y` of a monoid have order `n` and `m`, then there is an
element of order `lcm n m` that lies in the subgroup generated by `x` and `y`. -/
@[to_additive "If two commuting elements `x` and `y` of an additive monoid have order `n` and `m`,
then there is an element of order `lcm n m` that lies in the additive subgroup generated by `x`
and `y`."]
theorem _root_.Commute.exists_orderOf_eq_lcm {x y : G} (h : Commute x y) :
∃ z ∈ closure {x, y}, orderOf z = Nat.lcm (orderOf x) (orderOf y) := by
by_cases hx : orderOf x = 0 <;> by_cases hy : orderOf y = 0
· exact ⟨x, subset_closure (by simp), by simp [hx]⟩
· exact ⟨x, subset_closure (by simp), by simp [hx]⟩
· exact ⟨y, subset_closure (by simp), by simp [hy]⟩
· exact ⟨_, mul_mem (pow_mem (subset_closure (by simp)) _) (pow_mem (subset_closure (by simp)) _),
h.orderOf_mul_pow_eq_lcm hx hy⟩
/-- A nontrivial monoid has prime exponent `p` if and only if every non-identity element has
order `p`. -/
@[to_additive]
lemma exponent_eq_prime_iff {G : Type*} [Monoid G] [Nontrivial G] {p : ℕ} (hp : p.Prime) :
Monoid.exponent G = p ↔ ∀ g : G, g ≠ 1 → orderOf g = p := by
refine ⟨fun hG g hg ↦ ?_, fun h ↦ dvd_antisymm ?_ ?_⟩
· rw [Ne, ← orderOf_eq_one_iff] at hg
exact Eq.symm <| (hp.dvd_iff_eq hg).mp <| hG ▸ Monoid.order_dvd_exponent g
· rw [exponent_dvd]
intro g
by_cases hg : g = 1
· simp [hg]
· rw [h g hg]
· obtain ⟨g, hg⟩ := exists_ne (1 : G)
simpa [h g hg] using Monoid.order_dvd_exponent g
variable {G}
@[to_additive]
theorem exponent_ne_zero_iff_range_orderOf_finite (h : ∀ g : G, 0 < orderOf g) :
exponent G ≠ 0 ↔ (Set.range (orderOf : G → ℕ)).Finite := by
refine ⟨fun he => ?_, fun he => ?_⟩
· by_contra h
obtain ⟨m, ⟨t, rfl⟩, het⟩ := Set.Infinite.exists_gt h (exponent G)
exact pow_ne_one_of_lt_orderOf' he het (pow_exponent_eq_one t)
· lift Set.range (orderOf (G := G)) to Finset ℕ using he with t ht
have htpos : 0 < t.prod id := by
refine Finset.prod_pos fun a ha => ?_
rw [← Finset.mem_coe, ht] at ha
obtain ⟨k, rfl⟩ := ha
exact h k
suffices exponent G ∣ t.prod id by
intro h
rw [h, zero_dvd_iff] at this
exact htpos.ne' this
rw [exponent_dvd]
intro g
apply Finset.dvd_prod_of_mem id (?_ : orderOf g ∈ _)
rw [← Finset.mem_coe, ht]
exact Set.mem_range_self g
#align monoid.exponent_ne_zero_iff_range_order_of_finite Monoid.exponent_ne_zero_iff_range_orderOf_finite
#align add_monoid.exponent_ne_zero_iff_range_order_of_finite AddMonoid.exponent_ne_zero_iff_range_addOrderOf_finite
@[to_additive]
theorem exponent_eq_zero_iff_range_orderOf_infinite (h : ∀ g : G, 0 < orderOf g) :
exponent G = 0 ↔ (Set.range (orderOf : G → ℕ)).Infinite := by
have := exponent_ne_zero_iff_range_orderOf_finite h
rwa [Ne, not_iff_comm, Iff.comm] at this
#align monoid.exponent_eq_zero_iff_range_order_of_infinite Monoid.exponent_eq_zero_iff_range_orderOf_infinite
#align add_monoid.exponent_eq_zero_iff_range_order_of_infinite AddMonoid.exponent_eq_zero_iff_range_addOrderOf_infinite
@[to_additive]
theorem lcm_orderOf_eq_exponent [Fintype G] : (Finset.univ : Finset G).lcm orderOf = exponent G :=
Nat.dvd_antisymm
(lcm_orderOf_dvd_exponent G)
(exponent_dvd.mpr fun g => Finset.dvd_lcm (Finset.mem_univ g))
#align monoid.lcm_order_eq_exponent Monoid.lcm_orderOf_eq_exponent
#align add_monoid.lcm_add_order_eq_exponent AddMonoid.lcm_addOrderOf_eq_exponent
@[to_additive (attr := deprecated (since := "2024-01-26")) AddMonoid.lcm_addOrder_eq_exponent]
alias lcm_order_eq_exponent := lcm_orderOf_eq_exponent
variable {H : Type*} [Monoid H]
/--
If there exists an injective, multiplication-preserving map from `G` to `H`,
then the exponent of `G` divides the exponent of `H`.
-/
@[to_additive "If there exists an injective, addition-preserving map from `G` to `H`,
then the exponent of `G` divides the exponent of `H`."]
theorem exponent_dvd_of_monoidHom (e : G →* H) (e_inj : Function.Injective e) :
Monoid.exponent G ∣ Monoid.exponent H :=
exponent_dvd_of_forall_pow_eq_one fun g => e_inj (by
rw [map_pow, pow_exponent_eq_one, map_one])
/--
If there exists a multiplication-preserving equivalence between `G` and `H`,
then the exponent of `G` is equal to the exponent of `H`.
-/
@[to_additive "If there exists a addition-preserving equivalence between `G` and `H`,
then the exponent of `G` is equal to the exponent of `H`."]
theorem exponent_eq_of_mulEquiv (e : G ≃* H) : Monoid.exponent G = Monoid.exponent H :=
Nat.dvd_antisymm
(exponent_dvd_of_monoidHom e e.injective)
(exponent_dvd_of_monoidHom e.symm e.symm.injective)
end Monoid
section Submonoid
variable [Monoid G]
variable (G) in
@[to_additive (attr := simp)]
theorem _root_.Submonoid.exponent_top :
Monoid.exponent (⊤ : Submonoid G) = Monoid.exponent G :=
exponent_eq_of_mulEquiv Submonoid.topEquiv
@[to_additive]
theorem _root_.Submonoid.pow_exponent_eq_one {S : Submonoid G} {g : G} (g_in_s : g ∈ S) :
g ^ (Monoid.exponent S) = 1 := by
have := Monoid.pow_exponent_eq_one (⟨g, g_in_s⟩ : S)
rwa [SubmonoidClass.mk_pow, ← OneMemClass.coe_eq_one] at this
end Submonoid
section LeftCancelMonoid
variable [LeftCancelMonoid G] [Finite G]
@[to_additive]
theorem ExponentExists.of_finite : ExponentExists G := by
let _inst := Fintype.ofFinite G
simp only [Monoid.ExponentExists]
refine ⟨(Finset.univ : Finset G).lcm orderOf, ?_, fun g => ?_⟩
· simpa [pos_iff_ne_zero, Finset.lcm_eq_zero_iff] using fun x => (_root_.orderOf_pos x).ne'
· rw [← orderOf_dvd_iff_pow_eq_one, lcm_orderOf_eq_exponent]
exact order_dvd_exponent g
@[to_additive]
theorem exponent_ne_zero_of_finite : exponent G ≠ 0 :=
ExponentExists.of_finite.exponent_ne_zero
#align monoid.exponent_ne_zero_of_finite Monoid.exponent_ne_zero_of_finite
#align add_monoid.exponent_ne_zero_of_finite AddMonoid.exponent_ne_zero_of_finite
@[to_additive AddMonoid.one_lt_exponent]
lemma one_lt_exponent [Nontrivial G] : 1 < Monoid.exponent G := by
rw [Nat.one_lt_iff_ne_zero_and_ne_one]
exact ⟨exponent_ne_zero_of_finite, mt exp_eq_one_iff.mp (not_subsingleton G)⟩
end LeftCancelMonoid
section CommMonoid
variable [CommMonoid G]
@[to_additive]
theorem exists_orderOf_eq_exponent (hG : ExponentExists G) : ∃ g : G, orderOf g = exponent G := by
have he := hG.exponent_ne_zero
have hne : (Set.range (orderOf : G → ℕ)).Nonempty := ⟨1, 1, orderOf_one⟩
have hfin : (Set.range (orderOf : G → ℕ)).Finite := by
rwa [← exponent_ne_zero_iff_range_orderOf_finite hG.orderOf_pos]
obtain ⟨t, ht⟩ := hne.csSup_mem hfin
use t
apply Nat.dvd_antisymm (order_dvd_exponent _)
refine Nat.dvd_of_factors_subperm he ?_
rw [List.subperm_ext_iff]
by_contra! h
obtain ⟨p, hp, hpe⟩ := h
replace hp := Nat.prime_of_mem_factors hp
simp only [Nat.factors_count_eq] at hpe
set k := (orderOf t).factorization p with hk
obtain ⟨g, hg⟩ := hp.exists_orderOf_eq_pow_factorization_exponent G
suffices orderOf t < orderOf (t ^ p ^ k * g) by
rw [ht] at this
exact this.not_le (le_csSup hfin.bddAbove <| Set.mem_range_self _)
have hpk : p ^ k ∣ orderOf t := Nat.ord_proj_dvd _ _
have hpk' : orderOf (t ^ p ^ k) = orderOf t / p ^ k := by
rw [orderOf_pow' t (pow_ne_zero k hp.ne_zero), Nat.gcd_eq_right hpk]
obtain ⟨a, ha⟩ := Nat.exists_eq_add_of_lt hpe
have hcoprime : (orderOf (t ^ p ^ k)).Coprime (orderOf g) := by
rw [hg, Nat.coprime_pow_right_iff (pos_of_gt hpe), Nat.coprime_comm]
apply Or.resolve_right (Nat.coprime_or_dvd_of_prime hp _)
nth_rw 1 [← pow_one p]
have : 1 = (Nat.factorization (orderOf (t ^ p ^ k))) p + 1 := by
rw [hpk', Nat.factorization_div hpk]
simp [hp]
rw [this]
-- Porting note: convert made to_additive complain
apply Nat.pow_succ_factorization_not_dvd (hG.orderOf_pos <| t ^ p ^ k).ne' hp
rw [(Commute.all _ g).orderOf_mul_eq_mul_orderOf_of_coprime hcoprime, hpk',
hg, ha, hk, pow_add, pow_add, pow_one, ← mul_assoc, ← mul_assoc,
Nat.div_mul_cancel, mul_assoc, lt_mul_iff_one_lt_right <| hG.orderOf_pos t, ← pow_succ]
· exact one_lt_pow hp.one_lt a.succ_ne_zero
· exact hpk
@[to_additive]
theorem exponent_eq_iSup_orderOf (h : ∀ g : G, 0 < orderOf g) :
exponent G = ⨆ g : G, orderOf g := by
rw [iSup]
by_cases ExponentExists G
case neg he =>
rw [← exponent_eq_zero_iff] at he
rw [he, Set.Infinite.Nat.sSup_eq_zero <| (exponent_eq_zero_iff_range_orderOf_infinite h).1 he]
case pos he =>
rw [csSup_eq_of_forall_le_of_forall_lt_exists_gt (Set.range_nonempty _)]
· simp_rw [Set.mem_range, forall_exists_index, forall_apply_eq_imp_iff]
exact orderOf_le_exponent he
intro x hx
obtain ⟨g, hg⟩ := exists_orderOf_eq_exponent he
rw [← hg] at hx
simp_rw [Set.mem_range, exists_exists_eq_and]
exact ⟨g, hx⟩
#align monoid.exponent_eq_supr_order_of Monoid.exponent_eq_iSup_orderOf
#align add_monoid.exponent_eq_supr_order_of AddMonoid.exponent_eq_iSup_addOrderOf
@[to_additive]
theorem exponent_eq_iSup_orderOf' :
exponent G = if ∃ g : G, orderOf g = 0 then 0 else ⨆ g : G, orderOf g := by
split_ifs with h
· obtain ⟨g, hg⟩ := h
exact exponent_eq_zero_of_order_zero hg
· have := not_exists.mp h
exact exponent_eq_iSup_orderOf fun g => Ne.bot_lt <| this g
#align monoid.exponent_eq_supr_order_of' Monoid.exponent_eq_iSup_orderOf'
#align add_monoid.exponent_eq_supr_order_of' AddMonoid.exponent_eq_iSup_addOrderOf'
end CommMonoid
section CancelCommMonoid
variable [CancelCommMonoid G]
@[to_additive]
theorem exponent_eq_max'_orderOf [Fintype G] :
exponent G = ((@Finset.univ G _).image orderOf).max' ⟨1, by simp⟩ := by
rw [← Finset.Nonempty.csSup_eq_max', Finset.coe_image, Finset.coe_univ, Set.image_univ, ← iSup]
exact exponent_eq_iSup_orderOf orderOf_pos
#align monoid.exponent_eq_max'_order_of Monoid.exponent_eq_max'_orderOf
#align add_monoid.exponent_eq_max'_order_of AddMonoid.exponent_eq_max'_addOrderOf
end CancelCommMonoid
end Monoid
section Group
variable [Group G]
@[to_additive (attr := deprecated Monoid.one_lt_exponent (since := "2024-02-17"))
AddGroup.one_lt_exponent]
lemma Group.one_lt_exponent [Finite G] [Nontrivial G] : 1 < Monoid.exponent G :=
Monoid.one_lt_exponent
theorem Group.exponent_dvd_card [Fintype G] : Monoid.exponent G ∣ Fintype.card G :=
Monoid.exponent_dvd.mpr <| fun _ => orderOf_dvd_card
theorem Group.exponent_dvd_nat_card : Monoid.exponent G ∣ Nat.card G :=
Monoid.exponent_dvd.mpr orderOf_dvd_natCard
@[to_additive]
theorem Subgroup.exponent_toSubmonoid (H : Subgroup G) :
Monoid.exponent H.toSubmonoid = Monoid.exponent H :=
Monoid.exponent_eq_of_mulEquiv (MulEquiv.subgroupCongr rfl)
@[to_additive (attr := simp)]
theorem Subgroup.exponent_top : Monoid.exponent (⊤ : Subgroup G) = Monoid.exponent G :=
Monoid.exponent_eq_of_mulEquiv topEquiv
@[to_additive]
theorem Subgroup.pow_exponent_eq_one {H : Subgroup G} {g : G} (g_in_H : g ∈ H) :
g ^ Monoid.exponent H = 1 := exponent_toSubmonoid H ▸ Submonoid.pow_exponent_eq_one g_in_H
end Group
section CommGroup
open Subgroup
variable (G) [CommGroup G] [Group.FG G]
@[to_additive]
theorem card_dvd_exponent_pow_rank : Nat.card G ∣ Monoid.exponent G ^ Group.rank G := by
obtain ⟨S, hS1, hS2⟩ := Group.rank_spec G
rw [← hS1, ← Fintype.card_coe, ← Finset.card_univ, ← Finset.prod_const]
let f : (∀ g : S, zpowers (g : G)) →* G := noncommPiCoprod fun s t _ x y _ _ => mul_comm x _
have hf : Function.Surjective f := by
rw [← MonoidHom.range_top_iff_surjective, eq_top_iff, ← hS2, closure_le]
exact fun g hg => ⟨Pi.mulSingle ⟨g, hg⟩ ⟨g, mem_zpowers g⟩, noncommPiCoprod_mulSingle _ _⟩
replace hf := nat_card_dvd_of_surjective f hf
rw [Nat.card_pi] at hf
refine hf.trans (Finset.prod_dvd_prod_of_dvd _ _ fun g _ => ?_)
rw [Nat.card_zpowers]
exact Monoid.order_dvd_exponent (g : G)
#align card_dvd_exponent_pow_rank card_dvd_exponent_pow_rank
#align card_dvd_exponent_nsmul_rank card_dvd_exponent_nsmul_rank
@[to_additive]
theorem card_dvd_exponent_pow_rank' {n : ℕ} (hG : ∀ g : G, g ^ n = 1) :
Nat.card G ∣ n ^ Group.rank G :=
(card_dvd_exponent_pow_rank G).trans
(pow_dvd_pow_of_dvd (Monoid.exponent_dvd_of_forall_pow_eq_one hG) (Group.rank G))
#align card_dvd_exponent_pow_rank' card_dvd_exponent_pow_rank'
#align card_dvd_exponent_nsmul_rank' card_dvd_exponent_nsmul_rank'
end CommGroup
section PiProd
open Finset Monoid
@[to_additive]
theorem Monoid.exponent_pi_eq_zero {ι : Type*} {M : ι → Type*} [∀ i, Monoid (M i)] {j : ι}
(hj : exponent (M j) = 0) : exponent ((i : ι) → M i) = 0 := by
rw [@exponent_eq_zero_iff, ExponentExists] at hj ⊢
push_neg at hj ⊢
peel hj with n hn _
obtain ⟨m, hm⟩ := this
refine ⟨Pi.mulSingle j m, fun h ↦ hm ?_⟩
simpa using congr_fun h j
/-- If `f : M₁ →⋆ M₂` is surjective, then the exponent of `M₂` divides the exponent of `M₁`. -/
@[to_additive]
theorem MonoidHom.exponent_dvd {F M₁ M₂ : Type*} [Monoid M₁] [Monoid M₂]
[FunLike F M₁ M₂] [MonoidHomClass F M₁ M₂]
{f : F} (hf : Function.Surjective f) : exponent M₂ ∣ exponent M₁ := by
refine Monoid.exponent_dvd_of_forall_pow_eq_one fun m₂ ↦ ?_
obtain ⟨m₁, rfl⟩ := hf m₂
rw [← map_pow, pow_exponent_eq_one, map_one]
/-- The exponent of finite product of monoids is the `Finset.lcm` of the exponents of the
constituent monoids. -/
@[to_additive "The exponent of finite product of additive monoids is the `Finset.lcm` of the
exponents of the constituent additive monoids."]
theorem Monoid.exponent_pi {ι : Type*} [Fintype ι] {M : ι → Type*} [∀ i, Monoid (M i)] :
exponent ((i : ι) → M i) = lcm univ (exponent <| M ·) := by
refine dvd_antisymm ?_ ?_
· refine exponent_dvd_of_forall_pow_eq_one fun m ↦ ?_
ext i
rw [Pi.pow_apply, Pi.one_apply, ← orderOf_dvd_iff_pow_eq_one]
apply dvd_trans (Monoid.order_dvd_exponent (m i))
exact Finset.dvd_lcm (mem_univ i)
· apply Finset.lcm_dvd fun i _ ↦ ?_
exact MonoidHom.exponent_dvd (f := Pi.evalMonoidHom (M ·) i) (Function.surjective_eval i)
/-- The exponent of product of two monoids is the `lcm` of the exponents of the
individuaul monoids. -/
@[to_additive AddMonoid.exponent_prod "The exponent of product of two additive monoids is the `lcm`
of the exponents of the individuaul additive monoids."]
theorem Monoid.exponent_prod {M₁ M₂ : Type*} [Monoid M₁] [Monoid M₂] :
exponent (M₁ × M₂) = lcm (exponent M₁) (exponent M₂) := by
refine dvd_antisymm ?_ (lcm_dvd ?_ ?_)
· refine exponent_dvd_of_forall_pow_eq_one fun g ↦ ?_
ext1
· rw [Prod.pow_fst, Prod.fst_one, ← orderOf_dvd_iff_pow_eq_one]
exact dvd_trans (Monoid.order_dvd_exponent (g.1)) <| dvd_lcm_left _ _
· rw [Prod.pow_snd, Prod.snd_one, ← orderOf_dvd_iff_pow_eq_one]
exact dvd_trans (Monoid.order_dvd_exponent (g.2)) <| dvd_lcm_right _ _
· exact MonoidHom.exponent_dvd (f := MonoidHom.fst M₁ M₂) Prod.fst_surjective
· exact MonoidHom.exponent_dvd (f := MonoidHom.snd M₁ M₂) Prod.snd_surjective
end PiProd
/-! # Properties of monoids with exponent two -/
section ExponentTwo
section Monoid
variable [Monoid G]
@[to_additive]
lemma orderOf_eq_two_iff (hG : Monoid.exponent G = 2) {x : G} :
orderOf x = 2 ↔ x ≠ 1 :=
⟨by rintro hx rfl; norm_num at hx, orderOf_eq_prime (hG ▸ Monoid.pow_exponent_eq_one x)⟩
@[to_additive]
| Mathlib/GroupTheory/Exponent.lean | 682 | 690 | theorem Commute.of_orderOf_dvd_two [IsCancelMul G] (h : ∀ g : G, orderOf g ∣ 2) (a b : G) :
Commute a b := by |
simp_rw [orderOf_dvd_iff_pow_eq_one] at h
rw [commute_iff_eq, ← mul_right_inj a, ← mul_left_inj b]
calc
a * (a * b) * b = a ^ 2 * b ^ 2 := by simp only [pow_two]; group
_ = 1 := by rw [h, h, mul_one]
_ = (a * b) ^ 2 := by rw [h]
_ = a * (b * a) * b := by simp only [pow_two]; group
|
/-
Copyright (c) 2019 Kenny Lau. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kenny Lau
-/
import Mathlib.Algebra.Polynomial.Expand
import Mathlib.LinearAlgebra.FiniteDimensional
import Mathlib.LinearAlgebra.Matrix.Charpoly.LinearMap
import Mathlib.RingTheory.Adjoin.FG
import Mathlib.RingTheory.FiniteType
import Mathlib.RingTheory.Polynomial.ScaleRoots
import Mathlib.RingTheory.Polynomial.Tower
import Mathlib.RingTheory.TensorProduct.Basic
#align_import ring_theory.integral_closure from "leanprover-community/mathlib"@"641b6a82006416ec431b2987b354af9311fed4f2"
/-!
# Integral closure of a subring.
If A is an R-algebra then `a : A` is integral over R if it is a root of a monic polynomial
with coefficients in R. Enough theory is developed to prove that integral elements
form a sub-R-algebra of A.
## Main definitions
Let `R` be a `CommRing` and let `A` be an R-algebra.
* `RingHom.IsIntegralElem (f : R →+* A) (x : A)` : `x` is integral with respect to the map `f`,
* `IsIntegral (x : A)` : `x` is integral over `R`, i.e., is a root of a monic polynomial with
coefficients in `R`.
* `integralClosure R A` : the integral closure of `R` in `A`, regarded as a sub-`R`-algebra of `A`.
-/
open scoped Classical
open Polynomial Submodule
section Ring
variable {R S A : Type*}
variable [CommRing R] [Ring A] [Ring S] (f : R →+* S)
/-- An element `x` of `A` is said to be integral over `R` with respect to `f`
if it is a root of a monic polynomial `p : R[X]` evaluated under `f` -/
def RingHom.IsIntegralElem (f : R →+* A) (x : A) :=
∃ p : R[X], Monic p ∧ eval₂ f x p = 0
#align ring_hom.is_integral_elem RingHom.IsIntegralElem
/-- A ring homomorphism `f : R →+* A` is said to be integral
if every element `A` is integral with respect to the map `f` -/
def RingHom.IsIntegral (f : R →+* A) :=
∀ x : A, f.IsIntegralElem x
#align ring_hom.is_integral RingHom.IsIntegral
variable [Algebra R A] (R)
/-- An element `x` of an algebra `A` over a commutative ring `R` is said to be *integral*,
if it is a root of some monic polynomial `p : R[X]`.
Equivalently, the element is integral over `R` with respect to the induced `algebraMap` -/
def IsIntegral (x : A) : Prop :=
(algebraMap R A).IsIntegralElem x
#align is_integral IsIntegral
variable (A)
/-- An algebra is integral if every element of the extension is integral over the base ring -/
protected class Algebra.IsIntegral : Prop :=
isIntegral : ∀ x : A, IsIntegral R x
#align algebra.is_integral Algebra.IsIntegral
variable {R A}
lemma Algebra.isIntegral_def : Algebra.IsIntegral R A ↔ ∀ x : A, IsIntegral R x :=
⟨fun ⟨h⟩ ↦ h, fun h ↦ ⟨h⟩⟩
theorem RingHom.isIntegralElem_map {x : R} : f.IsIntegralElem (f x) :=
⟨X - C x, monic_X_sub_C _, by simp⟩
#align ring_hom.is_integral_map RingHom.isIntegralElem_map
theorem isIntegral_algebraMap {x : R} : IsIntegral R (algebraMap R A x) :=
(algebraMap R A).isIntegralElem_map
#align is_integral_algebra_map isIntegral_algebraMap
end Ring
section
variable {R A B S : Type*}
variable [CommRing R] [CommRing A] [Ring B] [CommRing S]
variable [Algebra R A] [Algebra R B] (f : R →+* S)
theorem IsIntegral.map {B C F : Type*} [Ring B] [Ring C] [Algebra R B] [Algebra A B] [Algebra R C]
[IsScalarTower R A B] [Algebra A C] [IsScalarTower R A C] {b : B}
[FunLike F B C] [AlgHomClass F A B C] (f : F)
(hb : IsIntegral R b) : IsIntegral R (f b) := by
obtain ⟨P, hP⟩ := hb
refine ⟨P, hP.1, ?_⟩
rw [← aeval_def, ← aeval_map_algebraMap A,
aeval_algHom_apply, aeval_map_algebraMap, aeval_def, hP.2, _root_.map_zero]
#align map_is_integral IsIntegral.map
theorem IsIntegral.map_of_comp_eq {R S T U : Type*} [CommRing R] [Ring S]
[CommRing T] [Ring U] [Algebra R S] [Algebra T U] (φ : R →+* T) (ψ : S →+* U)
(h : (algebraMap T U).comp φ = ψ.comp (algebraMap R S)) {a : S} (ha : IsIntegral R a) :
IsIntegral T (ψ a) :=
let ⟨p, hp⟩ := ha
⟨p.map φ, hp.1.map _, by
rw [← eval_map, map_map, h, ← map_map, eval_map, eval₂_at_apply, eval_map, hp.2, ψ.map_zero]⟩
#align is_integral_map_of_comp_eq_of_is_integral IsIntegral.map_of_comp_eq
section
variable {A B : Type*} [Ring A] [Ring B] [Algebra R A] [Algebra R B]
variable (f : A →ₐ[R] B) (hf : Function.Injective f)
theorem isIntegral_algHom_iff {x : A} : IsIntegral R (f x) ↔ IsIntegral R x := by
refine ⟨fun ⟨p, hp, hx⟩ ↦ ⟨p, hp, ?_⟩, IsIntegral.map f⟩
rwa [← f.comp_algebraMap, ← AlgHom.coe_toRingHom, ← hom_eval₂, AlgHom.coe_toRingHom,
map_eq_zero_iff f hf] at hx
#align is_integral_alg_hom_iff isIntegral_algHom_iff
theorem Algebra.IsIntegral.of_injective [Algebra.IsIntegral R B] : Algebra.IsIntegral R A :=
⟨fun _ ↦ (isIntegral_algHom_iff f hf).mp (isIntegral _)⟩
end
@[simp]
theorem isIntegral_algEquiv {A B : Type*} [Ring A] [Ring B] [Algebra R A] [Algebra R B]
(f : A ≃ₐ[R] B) {x : A} : IsIntegral R (f x) ↔ IsIntegral R x :=
⟨fun h ↦ by simpa using h.map f.symm, IsIntegral.map f⟩
#align is_integral_alg_equiv isIntegral_algEquiv
/-- If `R → A → B` is an algebra tower,
then if the entire tower is an integral extension so is `A → B`. -/
theorem IsIntegral.tower_top [Algebra A B] [IsScalarTower R A B] {x : B}
(hx : IsIntegral R x) : IsIntegral A x :=
let ⟨p, hp, hpx⟩ := hx
⟨p.map <| algebraMap R A, hp.map _, by rw [← aeval_def, aeval_map_algebraMap, aeval_def, hpx]⟩
#align is_integral_of_is_scalar_tower IsIntegral.tower_top
#align is_integral_tower_top_of_is_integral IsIntegral.tower_top
theorem map_isIntegral_int {B C F : Type*} [Ring B] [Ring C] {b : B}
[FunLike F B C] [RingHomClass F B C] (f : F)
(hb : IsIntegral ℤ b) : IsIntegral ℤ (f b) :=
hb.map (f : B →+* C).toIntAlgHom
#align map_is_integral_int map_isIntegral_int
theorem IsIntegral.of_subring {x : B} (T : Subring R) (hx : IsIntegral T x) : IsIntegral R x :=
hx.tower_top
#align is_integral_of_subring IsIntegral.of_subring
protected theorem IsIntegral.algebraMap [Algebra A B] [IsScalarTower R A B] {x : A}
(h : IsIntegral R x) : IsIntegral R (algebraMap A B x) := by
rcases h with ⟨f, hf, hx⟩
use f, hf
rw [IsScalarTower.algebraMap_eq R A B, ← hom_eval₂, hx, RingHom.map_zero]
#align is_integral.algebra_map IsIntegral.algebraMap
theorem isIntegral_algebraMap_iff [Algebra A B] [IsScalarTower R A B] {x : A}
(hAB : Function.Injective (algebraMap A B)) :
IsIntegral R (algebraMap A B x) ↔ IsIntegral R x :=
isIntegral_algHom_iff (IsScalarTower.toAlgHom R A B) hAB
#align is_integral_algebra_map_iff isIntegral_algebraMap_iff
theorem isIntegral_iff_isIntegral_closure_finite {r : B} :
IsIntegral R r ↔ ∃ s : Set R, s.Finite ∧ IsIntegral (Subring.closure s) r := by
constructor <;> intro hr
· rcases hr with ⟨p, hmp, hpr⟩
refine ⟨_, Finset.finite_toSet _, p.restriction, monic_restriction.2 hmp, ?_⟩
rw [← aeval_def, ← aeval_map_algebraMap R r p.restriction, map_restriction, aeval_def, hpr]
rcases hr with ⟨s, _, hsr⟩
exact hsr.of_subring _
#align is_integral_iff_is_integral_closure_finite isIntegral_iff_isIntegral_closure_finite
theorem Submodule.span_range_natDegree_eq_adjoin {R A} [CommRing R] [Semiring A] [Algebra R A]
{x : A} {f : R[X]} (hf : f.Monic) (hfx : aeval x f = 0) :
span R (Finset.image (x ^ ·) (Finset.range (natDegree f))) =
Subalgebra.toSubmodule (Algebra.adjoin R {x}) := by
nontriviality A
have hf1 : f ≠ 1 := by rintro rfl; simp [one_ne_zero' A] at hfx
refine (span_le.mpr fun s hs ↦ ?_).antisymm fun r hr ↦ ?_
· rcases Finset.mem_image.1 hs with ⟨k, -, rfl⟩
exact (Algebra.adjoin R {x}).pow_mem (Algebra.subset_adjoin rfl) k
rw [Subalgebra.mem_toSubmodule, Algebra.adjoin_singleton_eq_range_aeval] at hr
rcases (aeval x).mem_range.mp hr with ⟨p, rfl⟩
rw [← modByMonic_add_div p hf, map_add, map_mul, hfx,
zero_mul, add_zero, ← sum_C_mul_X_pow_eq (p %ₘ f), aeval_def, eval₂_sum, sum_def]
refine sum_mem fun k hkq ↦ ?_
rw [C_mul_X_pow_eq_monomial, eval₂_monomial, ← Algebra.smul_def]
exact smul_mem _ _ (subset_span <| Finset.mem_image_of_mem _ <| Finset.mem_range.mpr <|
(le_natDegree_of_mem_supp _ hkq).trans_lt <| natDegree_modByMonic_lt p hf hf1)
theorem IsIntegral.fg_adjoin_singleton {x : B} (hx : IsIntegral R x) :
(Algebra.adjoin R {x}).toSubmodule.FG := by
rcases hx with ⟨f, hfm, hfx⟩
use (Finset.range <| f.natDegree).image (x ^ ·)
exact span_range_natDegree_eq_adjoin hfm (by rwa [aeval_def])
theorem fg_adjoin_of_finite {s : Set A} (hfs : s.Finite) (his : ∀ x ∈ s, IsIntegral R x) :
(Algebra.adjoin R s).toSubmodule.FG :=
Set.Finite.induction_on hfs
(fun _ =>
⟨{1},
Submodule.ext fun x => by
rw [Algebra.adjoin_empty, Finset.coe_singleton, ← one_eq_span, Algebra.toSubmodule_bot]⟩)
(fun {a s} _ _ ih his => by
rw [← Set.union_singleton, Algebra.adjoin_union_coe_submodule]
exact
FG.mul (ih fun i hi => his i <| Set.mem_insert_of_mem a hi)
(his a <| Set.mem_insert a s).fg_adjoin_singleton)
his
#align fg_adjoin_of_finite fg_adjoin_of_finite
theorem isNoetherian_adjoin_finset [IsNoetherianRing R] (s : Finset A)
(hs : ∀ x ∈ s, IsIntegral R x) : IsNoetherian R (Algebra.adjoin R (s : Set A)) :=
isNoetherian_of_fg_of_noetherian _ (fg_adjoin_of_finite s.finite_toSet hs)
#align is_noetherian_adjoin_finset isNoetherian_adjoin_finset
instance Module.End.isIntegral {M : Type*} [AddCommGroup M] [Module R M] [Module.Finite R M] :
Algebra.IsIntegral R (Module.End R M) :=
⟨LinearMap.exists_monic_and_aeval_eq_zero R⟩
#align module.End.is_integral Module.End.isIntegral
variable (R)
theorem IsIntegral.of_finite [Module.Finite R B] (x : B) : IsIntegral R x :=
(isIntegral_algHom_iff (Algebra.lmul R B) Algebra.lmul_injective).mp
(Algebra.IsIntegral.isIntegral _)
variable (B)
instance Algebra.IsIntegral.of_finite [Module.Finite R B] : Algebra.IsIntegral R B :=
⟨.of_finite R⟩
#align algebra.is_integral.of_finite Algebra.IsIntegral.of_finite
variable {R B}
/-- If `S` is a sub-`R`-algebra of `A` and `S` is finitely-generated as an `R`-module,
then all elements of `S` are integral over `R`. -/
theorem IsIntegral.of_mem_of_fg {A} [Ring A] [Algebra R A] (S : Subalgebra R A)
(HS : S.toSubmodule.FG) (x : A) (hx : x ∈ S) : IsIntegral R x :=
have : Module.Finite R S := ⟨(fg_top _).mpr HS⟩
(isIntegral_algHom_iff S.val Subtype.val_injective).mpr (.of_finite R (⟨x, hx⟩ : S))
#align is_integral_of_mem_of_fg IsIntegral.of_mem_of_fg
theorem isIntegral_of_noetherian (_ : IsNoetherian R B) (x : B) : IsIntegral R x :=
.of_finite R x
#align is_integral_of_noetherian isIntegral_of_noetherian
theorem isIntegral_of_submodule_noetherian (S : Subalgebra R B)
(H : IsNoetherian R (Subalgebra.toSubmodule S)) (x : B) (hx : x ∈ S) : IsIntegral R x :=
.of_mem_of_fg _ ((fg_top _).mp <| H.noetherian _) _ hx
#align is_integral_of_submodule_noetherian isIntegral_of_submodule_noetherian
/-- Suppose `A` is an `R`-algebra, `M` is an `A`-module such that `a • m ≠ 0` for all non-zero `a`
and `m`. If `x : A` fixes a nontrivial f.g. `R`-submodule `N` of `M`, then `x` is `R`-integral. -/
theorem isIntegral_of_smul_mem_submodule {M : Type*} [AddCommGroup M] [Module R M] [Module A M]
[IsScalarTower R A M] [NoZeroSMulDivisors A M] (N : Submodule R M) (hN : N ≠ ⊥) (hN' : N.FG)
(x : A) (hx : ∀ n ∈ N, x • n ∈ N) : IsIntegral R x := by
let A' : Subalgebra R A :=
{ carrier := { x | ∀ n ∈ N, x • n ∈ N }
mul_mem' := fun {a b} ha hb n hn => smul_smul a b n ▸ ha _ (hb _ hn)
one_mem' := fun n hn => (one_smul A n).symm ▸ hn
add_mem' := fun {a b} ha hb n hn => (add_smul a b n).symm ▸ N.add_mem (ha _ hn) (hb _ hn)
zero_mem' := fun n _hn => (zero_smul A n).symm ▸ N.zero_mem
algebraMap_mem' := fun r n hn => (algebraMap_smul A r n).symm ▸ N.smul_mem r hn }
let f : A' →ₐ[R] Module.End R N :=
AlgHom.ofLinearMap
{ toFun := fun x => (DistribMulAction.toLinearMap R M x).restrict x.prop
-- Porting note: was
-- `fun x y => LinearMap.ext fun n => Subtype.ext <| add_smul x y n`
map_add' := by intros x y; ext; exact add_smul _ _ _
-- Porting note: was
-- `fun r s => LinearMap.ext fun n => Subtype.ext <| smul_assoc r s n`
map_smul' := by intros r s; ext; apply smul_assoc }
-- Porting note: the next two lines were
--`(LinearMap.ext fun n => Subtype.ext <| one_smul _ _) fun x y =>`
--`LinearMap.ext fun n => Subtype.ext <| mul_smul x y n`
(by ext; apply one_smul)
(by intros x y; ext; apply mul_smul)
obtain ⟨a, ha₁, ha₂⟩ : ∃ a ∈ N, a ≠ (0 : M) := by
by_contra! h'
apply hN
rwa [eq_bot_iff]
have : Function.Injective f := by
show Function.Injective f.toLinearMap
rw [← LinearMap.ker_eq_bot, eq_bot_iff]
intro s hs
have : s.1 • a = 0 := congr_arg Subtype.val (LinearMap.congr_fun hs ⟨a, ha₁⟩)
exact Subtype.ext ((eq_zero_or_eq_zero_of_smul_eq_zero this).resolve_right ha₂)
show IsIntegral R (A'.val ⟨x, hx⟩)
rw [isIntegral_algHom_iff A'.val Subtype.val_injective, ← isIntegral_algHom_iff f this]
haveI : Module.Finite R N := by rwa [Module.finite_def, Submodule.fg_top]
apply Algebra.IsIntegral.isIntegral
#align is_integral_of_smul_mem_submodule isIntegral_of_smul_mem_submodule
variable {f}
theorem RingHom.Finite.to_isIntegral (h : f.Finite) : f.IsIntegral :=
letI := f.toAlgebra
fun _ ↦ IsIntegral.of_mem_of_fg ⊤ h.1 _ trivial
#align ring_hom.finite.to_is_integral RingHom.Finite.to_isIntegral
alias RingHom.IsIntegral.of_finite := RingHom.Finite.to_isIntegral
#align ring_hom.is_integral.of_finite RingHom.IsIntegral.of_finite
/-- The [Kurosh problem](https://en.wikipedia.org/wiki/Kurosh_problem) asks to show that
this is still true when `A` is not necessarily commutative and `R` is a field, but it has
been solved in the negative. See https://arxiv.org/pdf/1706.02383.pdf for criteria for a
finitely generated algebraic (= integral) algebra over a field to be finite dimensional.
This could be an `instance`, but we tend to go from `Module.Finite` to `IsIntegral`/`IsAlgebraic`,
and making it an instance will cause the search to be complicated a lot.
-/
theorem Algebra.IsIntegral.finite [Algebra.IsIntegral R A] [h' : Algebra.FiniteType R A] :
Module.Finite R A :=
have ⟨s, hs⟩ := h'
⟨by apply hs ▸ fg_adjoin_of_finite s.finite_toSet fun x _ ↦ Algebra.IsIntegral.isIntegral x⟩
#align algebra.is_integral.finite Algebra.IsIntegral.finite
/-- finite = integral + finite type -/
theorem Algebra.finite_iff_isIntegral_and_finiteType :
Module.Finite R A ↔ Algebra.IsIntegral R A ∧ Algebra.FiniteType R A :=
⟨fun _ ↦ ⟨⟨.of_finite R⟩, inferInstance⟩, fun ⟨h, _⟩ ↦ h.finite⟩
#align algebra.finite_iff_is_integral_and_finite_type Algebra.finite_iff_isIntegral_and_finiteType
theorem RingHom.IsIntegral.to_finite (h : f.IsIntegral) (h' : f.FiniteType) : f.Finite :=
let _ := f.toAlgebra
let _ : Algebra.IsIntegral R S := ⟨h⟩
Algebra.IsIntegral.finite (h' := h')
#align ring_hom.is_integral.to_finite RingHom.IsIntegral.to_finite
alias RingHom.Finite.of_isIntegral_of_finiteType := RingHom.IsIntegral.to_finite
#align ring_hom.finite.of_is_integral_of_finite_type RingHom.Finite.of_isIntegral_of_finiteType
/-- finite = integral + finite type -/
theorem RingHom.finite_iff_isIntegral_and_finiteType : f.Finite ↔ f.IsIntegral ∧ f.FiniteType :=
⟨fun h ↦ ⟨h.to_isIntegral, h.to_finiteType⟩, fun ⟨h, h'⟩ ↦ h.to_finite h'⟩
#align ring_hom.finite_iff_is_integral_and_finite_type RingHom.finite_iff_isIntegral_and_finiteType
variable (f)
| Mathlib/RingTheory/IntegralClosure.lean | 342 | 349 | theorem RingHom.IsIntegralElem.of_mem_closure {x y z : S} (hx : f.IsIntegralElem x)
(hy : f.IsIntegralElem y) (hz : z ∈ Subring.closure ({x, y} : Set S)) : f.IsIntegralElem z := by |
letI : Algebra R S := f.toAlgebra
have := (IsIntegral.fg_adjoin_singleton hx).mul (IsIntegral.fg_adjoin_singleton hy)
rw [← Algebra.adjoin_union_coe_submodule, Set.singleton_union] at this
exact
IsIntegral.of_mem_of_fg (Algebra.adjoin R {x, y}) this z
(Algebra.mem_adjoin_iff.2 <| Subring.closure_mono Set.subset_union_right hz)
|
/-
Copyright (c) 2020 Johan Commelin. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johan Commelin
-/
import Mathlib.LinearAlgebra.Finsupp
import Mathlib.RingTheory.Ideal.Over
import Mathlib.RingTheory.Ideal.Prod
import Mathlib.RingTheory.Ideal.MinimalPrime
import Mathlib.RingTheory.Localization.Away.Basic
import Mathlib.RingTheory.Nilpotent.Lemmas
import Mathlib.Topology.Sets.Closeds
import Mathlib.Topology.Sober
#align_import algebraic_geometry.prime_spectrum.basic from "leanprover-community/mathlib"@"a7c017d750512a352b623b1824d75da5998457d0"
/-!
# Prime spectrum of a commutative (semi)ring
The prime spectrum of a commutative (semi)ring is the type of all prime ideals.
It is naturally endowed with a topology: the Zariski topology.
(It is also naturally endowed with a sheaf of rings,
which is constructed in `AlgebraicGeometry.StructureSheaf`.)
## Main definitions
* `PrimeSpectrum R`: The prime spectrum of a commutative (semi)ring `R`,
i.e., the set of all prime ideals of `R`.
* `zeroLocus s`: The zero locus of a subset `s` of `R`
is the subset of `PrimeSpectrum R` consisting of all prime ideals that contain `s`.
* `vanishingIdeal t`: The vanishing ideal of a subset `t` of `PrimeSpectrum R`
is the intersection of points in `t` (viewed as prime ideals).
## Conventions
We denote subsets of (semi)rings with `s`, `s'`, etc...
whereas we denote subsets of prime spectra with `t`, `t'`, etc...
## Inspiration/contributors
The contents of this file draw inspiration from <https://github.com/ramonfmir/lean-scheme>
which has contributions from Ramon Fernandez Mir, Kevin Buzzard, Kenny Lau,
and Chris Hughes (on an earlier repository).
-/
noncomputable section
open scoped Classical
universe u v
variable (R : Type u) (S : Type v)
/-- The prime spectrum of a commutative (semi)ring `R` is the type of all prime ideals of `R`.
It is naturally endowed with a topology (the Zariski topology),
and a sheaf of commutative rings (see `AlgebraicGeometry.StructureSheaf`).
It is a fundamental building block in algebraic geometry. -/
@[ext]
structure PrimeSpectrum [CommSemiring R] where
asIdeal : Ideal R
IsPrime : asIdeal.IsPrime
#align prime_spectrum PrimeSpectrum
attribute [instance] PrimeSpectrum.IsPrime
namespace PrimeSpectrum
section CommSemiRing
variable [CommSemiring R] [CommSemiring S]
variable {R S}
instance [Nontrivial R] : Nonempty <| PrimeSpectrum R :=
let ⟨I, hI⟩ := Ideal.exists_maximal R
⟨⟨I, hI.isPrime⟩⟩
/-- The prime spectrum of the zero ring is empty. -/
instance [Subsingleton R] : IsEmpty (PrimeSpectrum R) :=
⟨fun x ↦ x.IsPrime.ne_top <| SetLike.ext' <| Subsingleton.eq_univ_of_nonempty x.asIdeal.nonempty⟩
#noalign prime_spectrum.punit
variable (R S)
/-- The map from the direct sum of prime spectra to the prime spectrum of a direct product. -/
@[simp]
def primeSpectrumProdOfSum : Sum (PrimeSpectrum R) (PrimeSpectrum S) → PrimeSpectrum (R × S)
| Sum.inl ⟨I, _⟩ => ⟨Ideal.prod I ⊤, Ideal.isPrime_ideal_prod_top⟩
| Sum.inr ⟨J, _⟩ => ⟨Ideal.prod ⊤ J, Ideal.isPrime_ideal_prod_top'⟩
#align prime_spectrum.prime_spectrum_prod_of_sum PrimeSpectrum.primeSpectrumProdOfSum
/-- The prime spectrum of `R × S` is in bijection with the disjoint unions of the prime spectrum of
`R` and the prime spectrum of `S`. -/
noncomputable def primeSpectrumProd :
PrimeSpectrum (R × S) ≃ Sum (PrimeSpectrum R) (PrimeSpectrum S) :=
Equiv.symm <|
Equiv.ofBijective (primeSpectrumProdOfSum R S) (by
constructor
· rintro (⟨I, hI⟩ | ⟨J, hJ⟩) (⟨I', hI'⟩ | ⟨J', hJ'⟩) h <;>
simp only [mk.injEq, Ideal.prod.ext_iff, primeSpectrumProdOfSum] at h
· simp only [h]
· exact False.elim (hI.ne_top h.left)
· exact False.elim (hJ.ne_top h.right)
· simp only [h]
· rintro ⟨I, hI⟩
rcases (Ideal.ideal_prod_prime I).mp hI with (⟨p, ⟨hp, rfl⟩⟩ | ⟨p, ⟨hp, rfl⟩⟩)
· exact ⟨Sum.inl ⟨p, hp⟩, rfl⟩
· exact ⟨Sum.inr ⟨p, hp⟩, rfl⟩)
#align prime_spectrum.prime_spectrum_prod PrimeSpectrum.primeSpectrumProd
variable {R S}
@[simp]
theorem primeSpectrumProd_symm_inl_asIdeal (x : PrimeSpectrum R) :
((primeSpectrumProd R S).symm <| Sum.inl x).asIdeal = Ideal.prod x.asIdeal ⊤ := by
cases x
rfl
#align prime_spectrum.prime_spectrum_prod_symm_inl_as_ideal PrimeSpectrum.primeSpectrumProd_symm_inl_asIdeal
@[simp]
theorem primeSpectrumProd_symm_inr_asIdeal (x : PrimeSpectrum S) :
((primeSpectrumProd R S).symm <| Sum.inr x).asIdeal = Ideal.prod ⊤ x.asIdeal := by
cases x
rfl
#align prime_spectrum.prime_spectrum_prod_symm_inr_as_ideal PrimeSpectrum.primeSpectrumProd_symm_inr_asIdeal
/-- The zero locus of a set `s` of elements of a commutative (semi)ring `R` is the set of all
prime ideals of the ring that contain the set `s`.
An element `f` of `R` can be thought of as a dependent function on the prime spectrum of `R`.
At a point `x` (a prime ideal) the function (i.e., element) `f` takes values in the quotient ring
`R` modulo the prime ideal `x`. In this manner, `zeroLocus s` is exactly the subset of
`PrimeSpectrum R` where all "functions" in `s` vanish simultaneously.
-/
def zeroLocus (s : Set R) : Set (PrimeSpectrum R) :=
{ x | s ⊆ x.asIdeal }
#align prime_spectrum.zero_locus PrimeSpectrum.zeroLocus
@[simp]
theorem mem_zeroLocus (x : PrimeSpectrum R) (s : Set R) : x ∈ zeroLocus s ↔ s ⊆ x.asIdeal :=
Iff.rfl
#align prime_spectrum.mem_zero_locus PrimeSpectrum.mem_zeroLocus
@[simp]
theorem zeroLocus_span (s : Set R) : zeroLocus (Ideal.span s : Set R) = zeroLocus s := by
ext x
exact (Submodule.gi R R).gc s x.asIdeal
#align prime_spectrum.zero_locus_span PrimeSpectrum.zeroLocus_span
/-- The vanishing ideal of a set `t` of points of the prime spectrum of a commutative ring `R` is
the intersection of all the prime ideals in the set `t`.
An element `f` of `R` can be thought of as a dependent function on the prime spectrum of `R`.
At a point `x` (a prime ideal) the function (i.e., element) `f` takes values in the quotient ring
`R` modulo the prime ideal `x`. In this manner, `vanishingIdeal t` is exactly the ideal of `R`
consisting of all "functions" that vanish on all of `t`.
-/
def vanishingIdeal (t : Set (PrimeSpectrum R)) : Ideal R :=
⨅ (x : PrimeSpectrum R) (_ : x ∈ t), x.asIdeal
#align prime_spectrum.vanishing_ideal PrimeSpectrum.vanishingIdeal
theorem coe_vanishingIdeal (t : Set (PrimeSpectrum R)) :
(vanishingIdeal t : Set R) = { f : R | ∀ x : PrimeSpectrum R, x ∈ t → f ∈ x.asIdeal } := by
ext f
rw [vanishingIdeal, SetLike.mem_coe, Submodule.mem_iInf]
apply forall_congr'; intro x
rw [Submodule.mem_iInf]
#align prime_spectrum.coe_vanishing_ideal PrimeSpectrum.coe_vanishingIdeal
theorem mem_vanishingIdeal (t : Set (PrimeSpectrum R)) (f : R) :
f ∈ vanishingIdeal t ↔ ∀ x : PrimeSpectrum R, x ∈ t → f ∈ x.asIdeal := by
rw [← SetLike.mem_coe, coe_vanishingIdeal, Set.mem_setOf_eq]
#align prime_spectrum.mem_vanishing_ideal PrimeSpectrum.mem_vanishingIdeal
@[simp]
theorem vanishingIdeal_singleton (x : PrimeSpectrum R) :
vanishingIdeal ({x} : Set (PrimeSpectrum R)) = x.asIdeal := by simp [vanishingIdeal]
#align prime_spectrum.vanishing_ideal_singleton PrimeSpectrum.vanishingIdeal_singleton
theorem subset_zeroLocus_iff_le_vanishingIdeal (t : Set (PrimeSpectrum R)) (I : Ideal R) :
t ⊆ zeroLocus I ↔ I ≤ vanishingIdeal t :=
⟨fun h _ k => (mem_vanishingIdeal _ _).mpr fun _ j => (mem_zeroLocus _ _).mpr (h j) k, fun h =>
fun x j => (mem_zeroLocus _ _).mpr (le_trans h fun _ h => ((mem_vanishingIdeal _ _).mp h) x j)⟩
#align prime_spectrum.subset_zero_locus_iff_le_vanishing_ideal PrimeSpectrum.subset_zeroLocus_iff_le_vanishingIdeal
section Gc
variable (R)
/-- `zeroLocus` and `vanishingIdeal` form a galois connection. -/
theorem gc :
@GaloisConnection (Ideal R) (Set (PrimeSpectrum R))ᵒᵈ _ _ (fun I => zeroLocus I) fun t =>
vanishingIdeal t :=
fun I t => subset_zeroLocus_iff_le_vanishingIdeal t I
#align prime_spectrum.gc PrimeSpectrum.gc
/-- `zeroLocus` and `vanishingIdeal` form a galois connection. -/
theorem gc_set :
@GaloisConnection (Set R) (Set (PrimeSpectrum R))ᵒᵈ _ _ (fun s => zeroLocus s) fun t =>
vanishingIdeal t := by
have ideal_gc : GaloisConnection Ideal.span _ := (Submodule.gi R R).gc
simpa [zeroLocus_span, Function.comp] using ideal_gc.compose (gc R)
#align prime_spectrum.gc_set PrimeSpectrum.gc_set
theorem subset_zeroLocus_iff_subset_vanishingIdeal (t : Set (PrimeSpectrum R)) (s : Set R) :
t ⊆ zeroLocus s ↔ s ⊆ vanishingIdeal t :=
(gc_set R) s t
#align prime_spectrum.subset_zero_locus_iff_subset_vanishing_ideal PrimeSpectrum.subset_zeroLocus_iff_subset_vanishingIdeal
end Gc
theorem subset_vanishingIdeal_zeroLocus (s : Set R) : s ⊆ vanishingIdeal (zeroLocus s) :=
(gc_set R).le_u_l s
#align prime_spectrum.subset_vanishing_ideal_zero_locus PrimeSpectrum.subset_vanishingIdeal_zeroLocus
theorem le_vanishingIdeal_zeroLocus (I : Ideal R) : I ≤ vanishingIdeal (zeroLocus I) :=
(gc R).le_u_l I
#align prime_spectrum.le_vanishing_ideal_zero_locus PrimeSpectrum.le_vanishingIdeal_zeroLocus
@[simp]
theorem vanishingIdeal_zeroLocus_eq_radical (I : Ideal R) :
vanishingIdeal (zeroLocus (I : Set R)) = I.radical :=
Ideal.ext fun f => by
rw [mem_vanishingIdeal, Ideal.radical_eq_sInf, Submodule.mem_sInf]
exact ⟨fun h x hx => h ⟨x, hx.2⟩ hx.1, fun h x hx => h x.1 ⟨hx, x.2⟩⟩
#align prime_spectrum.vanishing_ideal_zero_locus_eq_radical PrimeSpectrum.vanishingIdeal_zeroLocus_eq_radical
@[simp]
theorem zeroLocus_radical (I : Ideal R) : zeroLocus (I.radical : Set R) = zeroLocus I :=
vanishingIdeal_zeroLocus_eq_radical I ▸ (gc R).l_u_l_eq_l I
#align prime_spectrum.zero_locus_radical PrimeSpectrum.zeroLocus_radical
theorem subset_zeroLocus_vanishingIdeal (t : Set (PrimeSpectrum R)) :
t ⊆ zeroLocus (vanishingIdeal t) :=
(gc R).l_u_le t
#align prime_spectrum.subset_zero_locus_vanishing_ideal PrimeSpectrum.subset_zeroLocus_vanishingIdeal
theorem zeroLocus_anti_mono {s t : Set R} (h : s ⊆ t) : zeroLocus t ⊆ zeroLocus s :=
(gc_set R).monotone_l h
#align prime_spectrum.zero_locus_anti_mono PrimeSpectrum.zeroLocus_anti_mono
theorem zeroLocus_anti_mono_ideal {s t : Ideal R} (h : s ≤ t) :
zeroLocus (t : Set R) ⊆ zeroLocus (s : Set R) :=
(gc R).monotone_l h
#align prime_spectrum.zero_locus_anti_mono_ideal PrimeSpectrum.zeroLocus_anti_mono_ideal
theorem vanishingIdeal_anti_mono {s t : Set (PrimeSpectrum R)} (h : s ⊆ t) :
vanishingIdeal t ≤ vanishingIdeal s :=
(gc R).monotone_u h
#align prime_spectrum.vanishing_ideal_anti_mono PrimeSpectrum.vanishingIdeal_anti_mono
theorem zeroLocus_subset_zeroLocus_iff (I J : Ideal R) :
zeroLocus (I : Set R) ⊆ zeroLocus (J : Set R) ↔ J ≤ I.radical := by
rw [subset_zeroLocus_iff_le_vanishingIdeal, vanishingIdeal_zeroLocus_eq_radical]
#align prime_spectrum.zero_locus_subset_zero_locus_iff PrimeSpectrum.zeroLocus_subset_zeroLocus_iff
theorem zeroLocus_subset_zeroLocus_singleton_iff (f g : R) :
zeroLocus ({f} : Set R) ⊆ zeroLocus {g} ↔ g ∈ (Ideal.span ({f} : Set R)).radical := by
rw [← zeroLocus_span {f}, ← zeroLocus_span {g}, zeroLocus_subset_zeroLocus_iff, Ideal.span_le,
Set.singleton_subset_iff, SetLike.mem_coe]
#align prime_spectrum.zero_locus_subset_zero_locus_singleton_iff PrimeSpectrum.zeroLocus_subset_zeroLocus_singleton_iff
theorem zeroLocus_bot : zeroLocus ((⊥ : Ideal R) : Set R) = Set.univ :=
(gc R).l_bot
#align prime_spectrum.zero_locus_bot PrimeSpectrum.zeroLocus_bot
@[simp]
theorem zeroLocus_singleton_zero : zeroLocus ({0} : Set R) = Set.univ :=
zeroLocus_bot
#align prime_spectrum.zero_locus_singleton_zero PrimeSpectrum.zeroLocus_singleton_zero
@[simp]
theorem zeroLocus_empty : zeroLocus (∅ : Set R) = Set.univ :=
(gc_set R).l_bot
#align prime_spectrum.zero_locus_empty PrimeSpectrum.zeroLocus_empty
@[simp]
theorem vanishingIdeal_univ : vanishingIdeal (∅ : Set (PrimeSpectrum R)) = ⊤ := by
simpa using (gc R).u_top
#align prime_spectrum.vanishing_ideal_univ PrimeSpectrum.vanishingIdeal_univ
theorem zeroLocus_empty_of_one_mem {s : Set R} (h : (1 : R) ∈ s) : zeroLocus s = ∅ := by
rw [Set.eq_empty_iff_forall_not_mem]
intro x hx
rw [mem_zeroLocus] at hx
have x_prime : x.asIdeal.IsPrime := by infer_instance
have eq_top : x.asIdeal = ⊤ := by
rw [Ideal.eq_top_iff_one]
exact hx h
apply x_prime.ne_top eq_top
#align prime_spectrum.zero_locus_empty_of_one_mem PrimeSpectrum.zeroLocus_empty_of_one_mem
@[simp]
theorem zeroLocus_singleton_one : zeroLocus ({1} : Set R) = ∅ :=
zeroLocus_empty_of_one_mem (Set.mem_singleton (1 : R))
#align prime_spectrum.zero_locus_singleton_one PrimeSpectrum.zeroLocus_singleton_one
theorem zeroLocus_empty_iff_eq_top {I : Ideal R} : zeroLocus (I : Set R) = ∅ ↔ I = ⊤ := by
constructor
· contrapose!
intro h
rcases Ideal.exists_le_maximal I h with ⟨M, hM, hIM⟩
exact ⟨⟨M, hM.isPrime⟩, hIM⟩
· rintro rfl
apply zeroLocus_empty_of_one_mem
trivial
#align prime_spectrum.zero_locus_empty_iff_eq_top PrimeSpectrum.zeroLocus_empty_iff_eq_top
@[simp]
theorem zeroLocus_univ : zeroLocus (Set.univ : Set R) = ∅ :=
zeroLocus_empty_of_one_mem (Set.mem_univ 1)
#align prime_spectrum.zero_locus_univ PrimeSpectrum.zeroLocus_univ
theorem vanishingIdeal_eq_top_iff {s : Set (PrimeSpectrum R)} : vanishingIdeal s = ⊤ ↔ s = ∅ := by
rw [← top_le_iff, ← subset_zeroLocus_iff_le_vanishingIdeal, Submodule.top_coe, zeroLocus_univ,
Set.subset_empty_iff]
#align prime_spectrum.vanishing_ideal_eq_top_iff PrimeSpectrum.vanishingIdeal_eq_top_iff
theorem zeroLocus_sup (I J : Ideal R) :
zeroLocus ((I ⊔ J : Ideal R) : Set R) = zeroLocus I ∩ zeroLocus J :=
(gc R).l_sup
#align prime_spectrum.zero_locus_sup PrimeSpectrum.zeroLocus_sup
theorem zeroLocus_union (s s' : Set R) : zeroLocus (s ∪ s') = zeroLocus s ∩ zeroLocus s' :=
(gc_set R).l_sup
#align prime_spectrum.zero_locus_union PrimeSpectrum.zeroLocus_union
theorem vanishingIdeal_union (t t' : Set (PrimeSpectrum R)) :
vanishingIdeal (t ∪ t') = vanishingIdeal t ⊓ vanishingIdeal t' :=
(gc R).u_inf
#align prime_spectrum.vanishing_ideal_union PrimeSpectrum.vanishingIdeal_union
theorem zeroLocus_iSup {ι : Sort*} (I : ι → Ideal R) :
zeroLocus ((⨆ i, I i : Ideal R) : Set R) = ⋂ i, zeroLocus (I i) :=
(gc R).l_iSup
#align prime_spectrum.zero_locus_supr PrimeSpectrum.zeroLocus_iSup
theorem zeroLocus_iUnion {ι : Sort*} (s : ι → Set R) :
zeroLocus (⋃ i, s i) = ⋂ i, zeroLocus (s i) :=
(gc_set R).l_iSup
#align prime_spectrum.zero_locus_Union PrimeSpectrum.zeroLocus_iUnion
theorem zeroLocus_bUnion (s : Set (Set R)) :
zeroLocus (⋃ s' ∈ s, s' : Set R) = ⋂ s' ∈ s, zeroLocus s' := by simp only [zeroLocus_iUnion]
#align prime_spectrum.zero_locus_bUnion PrimeSpectrum.zeroLocus_bUnion
theorem vanishingIdeal_iUnion {ι : Sort*} (t : ι → Set (PrimeSpectrum R)) :
vanishingIdeal (⋃ i, t i) = ⨅ i, vanishingIdeal (t i) :=
(gc R).u_iInf
#align prime_spectrum.vanishing_ideal_Union PrimeSpectrum.vanishingIdeal_iUnion
theorem zeroLocus_inf (I J : Ideal R) :
zeroLocus ((I ⊓ J : Ideal R) : Set R) = zeroLocus I ∪ zeroLocus J :=
Set.ext fun x => x.2.inf_le
#align prime_spectrum.zero_locus_inf PrimeSpectrum.zeroLocus_inf
theorem union_zeroLocus (s s' : Set R) :
zeroLocus s ∪ zeroLocus s' = zeroLocus (Ideal.span s ⊓ Ideal.span s' : Ideal R) := by
rw [zeroLocus_inf]
simp
#align prime_spectrum.union_zero_locus PrimeSpectrum.union_zeroLocus
theorem zeroLocus_mul (I J : Ideal R) :
zeroLocus ((I * J : Ideal R) : Set R) = zeroLocus I ∪ zeroLocus J :=
Set.ext fun x => x.2.mul_le
#align prime_spectrum.zero_locus_mul PrimeSpectrum.zeroLocus_mul
theorem zeroLocus_singleton_mul (f g : R) :
zeroLocus ({f * g} : Set R) = zeroLocus {f} ∪ zeroLocus {g} :=
Set.ext fun x => by simpa using x.2.mul_mem_iff_mem_or_mem
#align prime_spectrum.zero_locus_singleton_mul PrimeSpectrum.zeroLocus_singleton_mul
@[simp]
theorem zeroLocus_pow (I : Ideal R) {n : ℕ} (hn : n ≠ 0) :
zeroLocus ((I ^ n : Ideal R) : Set R) = zeroLocus I :=
zeroLocus_radical (I ^ n) ▸ (I.radical_pow hn).symm ▸ zeroLocus_radical I
#align prime_spectrum.zero_locus_pow PrimeSpectrum.zeroLocus_pow
@[simp]
theorem zeroLocus_singleton_pow (f : R) (n : ℕ) (hn : 0 < n) :
zeroLocus ({f ^ n} : Set R) = zeroLocus {f} :=
Set.ext fun x => by simpa using x.2.pow_mem_iff_mem n hn
#align prime_spectrum.zero_locus_singleton_pow PrimeSpectrum.zeroLocus_singleton_pow
theorem sup_vanishingIdeal_le (t t' : Set (PrimeSpectrum R)) :
vanishingIdeal t ⊔ vanishingIdeal t' ≤ vanishingIdeal (t ∩ t') := by
intro r
rw [Submodule.mem_sup, mem_vanishingIdeal]
rintro ⟨f, hf, g, hg, rfl⟩ x ⟨hxt, hxt'⟩
rw [mem_vanishingIdeal] at hf hg
apply Submodule.add_mem <;> solve_by_elim
#align prime_spectrum.sup_vanishing_ideal_le PrimeSpectrum.sup_vanishingIdeal_le
theorem mem_compl_zeroLocus_iff_not_mem {f : R} {I : PrimeSpectrum R} :
I ∈ (zeroLocus {f} : Set (PrimeSpectrum R))ᶜ ↔ f ∉ I.asIdeal := by
rw [Set.mem_compl_iff, mem_zeroLocus, Set.singleton_subset_iff]; rfl
#align prime_spectrum.mem_compl_zero_locus_iff_not_mem PrimeSpectrum.mem_compl_zeroLocus_iff_not_mem
/-- The Zariski topology on the prime spectrum of a commutative (semi)ring is defined
via the closed sets of the topology: they are exactly those sets that are the zero locus
of a subset of the ring. -/
instance zariskiTopology : TopologicalSpace (PrimeSpectrum R) :=
TopologicalSpace.ofClosed (Set.range PrimeSpectrum.zeroLocus) ⟨Set.univ, by simp⟩
(by
intro Zs h
rw [Set.sInter_eq_iInter]
choose f hf using fun i : Zs => h i.prop
simp only [← hf]
exact ⟨_, zeroLocus_iUnion _⟩)
(by
rintro _ ⟨s, rfl⟩ _ ⟨t, rfl⟩
exact ⟨_, (union_zeroLocus s t).symm⟩)
#align prime_spectrum.zariski_topology PrimeSpectrum.zariskiTopology
theorem isOpen_iff (U : Set (PrimeSpectrum R)) : IsOpen U ↔ ∃ s, Uᶜ = zeroLocus s := by
simp only [@eq_comm _ Uᶜ]; rfl
#align prime_spectrum.is_open_iff PrimeSpectrum.isOpen_iff
theorem isClosed_iff_zeroLocus (Z : Set (PrimeSpectrum R)) : IsClosed Z ↔ ∃ s, Z = zeroLocus s := by
rw [← isOpen_compl_iff, isOpen_iff, compl_compl]
#align prime_spectrum.is_closed_iff_zero_locus PrimeSpectrum.isClosed_iff_zeroLocus
theorem isClosed_iff_zeroLocus_ideal (Z : Set (PrimeSpectrum R)) :
IsClosed Z ↔ ∃ I : Ideal R, Z = zeroLocus I :=
(isClosed_iff_zeroLocus _).trans
⟨fun ⟨s, hs⟩ => ⟨_, (zeroLocus_span s).substr hs⟩, fun ⟨I, hI⟩ => ⟨I, hI⟩⟩
#align prime_spectrum.is_closed_iff_zero_locus_ideal PrimeSpectrum.isClosed_iff_zeroLocus_ideal
theorem isClosed_iff_zeroLocus_radical_ideal (Z : Set (PrimeSpectrum R)) :
IsClosed Z ↔ ∃ I : Ideal R, I.IsRadical ∧ Z = zeroLocus I :=
(isClosed_iff_zeroLocus_ideal _).trans
⟨fun ⟨I, hI⟩ => ⟨_, I.radical_isRadical, (zeroLocus_radical I).substr hI⟩, fun ⟨I, _, hI⟩ =>
⟨I, hI⟩⟩
#align prime_spectrum.is_closed_iff_zero_locus_radical_ideal PrimeSpectrum.isClosed_iff_zeroLocus_radical_ideal
theorem isClosed_zeroLocus (s : Set R) : IsClosed (zeroLocus s) := by
rw [isClosed_iff_zeroLocus]
exact ⟨s, rfl⟩
#align prime_spectrum.is_closed_zero_locus PrimeSpectrum.isClosed_zeroLocus
theorem zeroLocus_vanishingIdeal_eq_closure (t : Set (PrimeSpectrum R)) :
zeroLocus (vanishingIdeal t : Set R) = closure t := by
rcases isClosed_iff_zeroLocus (closure t) |>.mp isClosed_closure with ⟨I, hI⟩
rw [subset_antisymm_iff, (isClosed_zeroLocus _).closure_subset_iff, hI,
subset_zeroLocus_iff_subset_vanishingIdeal, (gc R).u_l_u_eq_u,
← subset_zeroLocus_iff_subset_vanishingIdeal, ← hI]
exact ⟨subset_closure, subset_zeroLocus_vanishingIdeal t⟩
#align prime_spectrum.zero_locus_vanishing_ideal_eq_closure PrimeSpectrum.zeroLocus_vanishingIdeal_eq_closure
theorem vanishingIdeal_closure (t : Set (PrimeSpectrum R)) :
vanishingIdeal (closure t) = vanishingIdeal t :=
zeroLocus_vanishingIdeal_eq_closure t ▸ (gc R).u_l_u_eq_u t
#align prime_spectrum.vanishing_ideal_closure PrimeSpectrum.vanishingIdeal_closure
theorem closure_singleton (x) : closure ({x} : Set (PrimeSpectrum R)) = zeroLocus x.asIdeal := by
rw [← zeroLocus_vanishingIdeal_eq_closure, vanishingIdeal_singleton]
#align prime_spectrum.closure_singleton PrimeSpectrum.closure_singleton
theorem isClosed_singleton_iff_isMaximal (x : PrimeSpectrum R) :
IsClosed ({x} : Set (PrimeSpectrum R)) ↔ x.asIdeal.IsMaximal := by
rw [← closure_subset_iff_isClosed, ← zeroLocus_vanishingIdeal_eq_closure,
vanishingIdeal_singleton]
constructor <;> intro H
· rcases x.asIdeal.exists_le_maximal x.2.1 with ⟨m, hm, hxm⟩
exact (congr_arg asIdeal (@H ⟨m, hm.isPrime⟩ hxm)) ▸ hm
· exact fun p hp ↦ PrimeSpectrum.ext _ _ (H.eq_of_le p.2.1 hp).symm
#align prime_spectrum.is_closed_singleton_iff_is_maximal PrimeSpectrum.isClosed_singleton_iff_isMaximal
theorem isRadical_vanishingIdeal (s : Set (PrimeSpectrum R)) : (vanishingIdeal s).IsRadical := by
rw [← vanishingIdeal_closure, ← zeroLocus_vanishingIdeal_eq_closure,
vanishingIdeal_zeroLocus_eq_radical]
apply Ideal.radical_isRadical
#align prime_spectrum.is_radical_vanishing_ideal PrimeSpectrum.isRadical_vanishingIdeal
theorem vanishingIdeal_anti_mono_iff {s t : Set (PrimeSpectrum R)} (ht : IsClosed t) :
s ⊆ t ↔ vanishingIdeal t ≤ vanishingIdeal s :=
⟨vanishingIdeal_anti_mono, fun h => by
rw [← ht.closure_subset_iff, ← ht.closure_eq]
convert ← zeroLocus_anti_mono_ideal h <;> apply zeroLocus_vanishingIdeal_eq_closure⟩
#align prime_spectrum.vanishing_ideal_anti_mono_iff PrimeSpectrum.vanishingIdeal_anti_mono_iff
theorem vanishingIdeal_strict_anti_mono_iff {s t : Set (PrimeSpectrum R)} (hs : IsClosed s)
(ht : IsClosed t) : s ⊂ t ↔ vanishingIdeal t < vanishingIdeal s := by
rw [Set.ssubset_def, vanishingIdeal_anti_mono_iff hs, vanishingIdeal_anti_mono_iff ht,
lt_iff_le_not_le]
#align prime_spectrum.vanishing_ideal_strict_anti_mono_iff PrimeSpectrum.vanishingIdeal_strict_anti_mono_iff
/-- The antitone order embedding of closed subsets of `Spec R` into ideals of `R`. -/
def closedsEmbedding (R : Type*) [CommSemiring R] :
(TopologicalSpace.Closeds <| PrimeSpectrum R)ᵒᵈ ↪o Ideal R :=
OrderEmbedding.ofMapLEIff (fun s => vanishingIdeal ↑(OrderDual.ofDual s)) fun s _ =>
(vanishingIdeal_anti_mono_iff s.2).symm
#align prime_spectrum.closeds_embedding PrimeSpectrum.closedsEmbedding
theorem t1Space_iff_isField [IsDomain R] : T1Space (PrimeSpectrum R) ↔ IsField R := by
refine ⟨?_, fun h => ?_⟩
· intro h
have hbot : Ideal.IsPrime (⊥ : Ideal R) := Ideal.bot_prime
exact
Classical.not_not.1
(mt
(Ring.ne_bot_of_isMaximal_of_not_isField <|
(isClosed_singleton_iff_isMaximal _).1 (T1Space.t1 ⟨⊥, hbot⟩))
(by aesop))
· refine ⟨fun x => (isClosed_singleton_iff_isMaximal x).2 ?_⟩
by_cases hx : x.asIdeal = ⊥
· letI := h.toSemifield
exact hx.symm ▸ Ideal.bot_isMaximal
· exact absurd h (Ring.not_isField_iff_exists_prime.2 ⟨x.asIdeal, ⟨hx, x.2⟩⟩)
#align prime_spectrum.t1_space_iff_is_field PrimeSpectrum.t1Space_iff_isField
local notation "Z(" a ")" => zeroLocus (a : Set R)
theorem isIrreducible_zeroLocus_iff_of_radical (I : Ideal R) (hI : I.IsRadical) :
IsIrreducible (zeroLocus (I : Set R)) ↔ I.IsPrime := by
rw [Ideal.isPrime_iff, IsIrreducible]
apply and_congr
· rw [Set.nonempty_iff_ne_empty, Ne, zeroLocus_empty_iff_eq_top]
· trans ∀ x y : Ideal R, Z(I) ⊆ Z(x) ∪ Z(y) → Z(I) ⊆ Z(x) ∨ Z(I) ⊆ Z(y)
· simp_rw [isPreirreducible_iff_closed_union_closed, isClosed_iff_zeroLocus_ideal]
constructor
· rintro h x y
exact h _ _ ⟨x, rfl⟩ ⟨y, rfl⟩
· rintro h _ _ ⟨x, rfl⟩ ⟨y, rfl⟩
exact h x y
· simp_rw [← zeroLocus_inf, subset_zeroLocus_iff_le_vanishingIdeal,
vanishingIdeal_zeroLocus_eq_radical, hI.radical]
constructor
· simp_rw [← SetLike.mem_coe, ← Set.singleton_subset_iff, ← Ideal.span_le, ←
Ideal.span_singleton_mul_span_singleton]
refine fun h x y h' => h _ _ ?_
rw [← hI.radical_le_iff] at h' ⊢
simpa only [Ideal.radical_inf, Ideal.radical_mul] using h'
· simp_rw [or_iff_not_imp_left, SetLike.not_le_iff_exists]
rintro h s t h' ⟨x, hx, hx'⟩ y hy
exact h (h' ⟨Ideal.mul_mem_right _ _ hx, Ideal.mul_mem_left _ _ hy⟩) hx'
#align prime_spectrum.is_irreducible_zero_locus_iff_of_radical PrimeSpectrum.isIrreducible_zeroLocus_iff_of_radical
theorem isIrreducible_zeroLocus_iff (I : Ideal R) :
IsIrreducible (zeroLocus (I : Set R)) ↔ I.radical.IsPrime :=
zeroLocus_radical I ▸ isIrreducible_zeroLocus_iff_of_radical _ I.radical_isRadical
#align prime_spectrum.is_irreducible_zero_locus_iff PrimeSpectrum.isIrreducible_zeroLocus_iff
theorem isIrreducible_iff_vanishingIdeal_isPrime {s : Set (PrimeSpectrum R)} :
IsIrreducible s ↔ (vanishingIdeal s).IsPrime := by
rw [← isIrreducible_iff_closure, ← zeroLocus_vanishingIdeal_eq_closure,
isIrreducible_zeroLocus_iff_of_radical _ (isRadical_vanishingIdeal s)]
#align prime_spectrum.is_irreducible_iff_vanishing_ideal_is_prime PrimeSpectrum.isIrreducible_iff_vanishingIdeal_isPrime
lemma vanishingIdeal_isIrreducible :
vanishingIdeal (R := R) '' {s | IsIrreducible s} = {P | P.IsPrime} :=
Set.ext fun I ↦ ⟨fun ⟨_, hs, e⟩ ↦ e ▸ isIrreducible_iff_vanishingIdeal_isPrime.mp hs,
fun h ↦ ⟨zeroLocus I, (isIrreducible_zeroLocus_iff_of_radical _ h.isRadical).mpr h,
(vanishingIdeal_zeroLocus_eq_radical I).trans h.radical⟩⟩
lemma vanishingIdeal_isClosed_isIrreducible :
vanishingIdeal (R := R) '' {s | IsClosed s ∧ IsIrreducible s} = {P | P.IsPrime} := by
refine (subset_antisymm ?_ ?_).trans vanishingIdeal_isIrreducible
· exact Set.image_subset _ fun _ ↦ And.right
rintro _ ⟨s, hs, rfl⟩
exact ⟨closure s, ⟨isClosed_closure, hs.closure⟩, vanishingIdeal_closure s⟩
instance irreducibleSpace [IsDomain R] : IrreducibleSpace (PrimeSpectrum R) := by
rw [irreducibleSpace_def, Set.top_eq_univ, ← zeroLocus_bot, isIrreducible_zeroLocus_iff]
simpa using Ideal.bot_prime
instance quasiSober : QuasiSober (PrimeSpectrum R) :=
⟨fun {S} h₁ h₂ =>
⟨⟨_, isIrreducible_iff_vanishingIdeal_isPrime.1 h₁⟩, by
rw [IsGenericPoint, closure_singleton, zeroLocus_vanishingIdeal_eq_closure, h₂.closure_eq]⟩⟩
/-- The prime spectrum of a commutative (semi)ring is a compact topological space. -/
instance compactSpace : CompactSpace (PrimeSpectrum R) := by
refine compactSpace_of_finite_subfamily_closed fun S S_closed S_empty ↦ ?_
choose I hI using fun i ↦ (isClosed_iff_zeroLocus_ideal (S i)).mp (S_closed i)
simp_rw [hI, ← zeroLocus_iSup, zeroLocus_empty_iff_eq_top, ← top_le_iff] at S_empty ⊢
exact Ideal.isCompactElement_top.exists_finset_of_le_iSup _ _ S_empty
section Comap
variable {S' : Type*} [CommSemiring S']
theorem preimage_comap_zeroLocus_aux (f : R →+* S) (s : Set R) :
(fun y => ⟨Ideal.comap f y.asIdeal, inferInstance⟩ : PrimeSpectrum S → PrimeSpectrum R) ⁻¹'
zeroLocus s =
zeroLocus (f '' s) := by
ext x
simp only [mem_zeroLocus, Set.image_subset_iff, Set.mem_preimage, mem_zeroLocus, Ideal.coe_comap]
#align prime_spectrum.preimage_comap_zero_locus_aux PrimeSpectrum.preimage_comap_zeroLocus_aux
/-- The function between prime spectra of commutative (semi)rings induced by a ring homomorphism.
This function is continuous. -/
def comap (f : R →+* S) : C(PrimeSpectrum S, PrimeSpectrum R) where
toFun y := ⟨Ideal.comap f y.asIdeal, inferInstance⟩
continuous_toFun := by
simp only [continuous_iff_isClosed, isClosed_iff_zeroLocus]
rintro _ ⟨s, rfl⟩
exact ⟨_, preimage_comap_zeroLocus_aux f s⟩
#align prime_spectrum.comap PrimeSpectrum.comap
variable (f : R →+* S)
@[simp]
theorem comap_asIdeal (y : PrimeSpectrum S) : (comap f y).asIdeal = Ideal.comap f y.asIdeal :=
rfl
#align prime_spectrum.comap_as_ideal PrimeSpectrum.comap_asIdeal
@[simp]
theorem comap_id : comap (RingHom.id R) = ContinuousMap.id _ := by
ext
rfl
#align prime_spectrum.comap_id PrimeSpectrum.comap_id
@[simp]
theorem comap_comp (f : R →+* S) (g : S →+* S') : comap (g.comp f) = (comap f).comp (comap g) :=
rfl
#align prime_spectrum.comap_comp PrimeSpectrum.comap_comp
theorem comap_comp_apply (f : R →+* S) (g : S →+* S') (x : PrimeSpectrum S') :
PrimeSpectrum.comap (g.comp f) x = (PrimeSpectrum.comap f) (PrimeSpectrum.comap g x) :=
rfl
#align prime_spectrum.comap_comp_apply PrimeSpectrum.comap_comp_apply
@[simp]
theorem preimage_comap_zeroLocus (s : Set R) : comap f ⁻¹' zeroLocus s = zeroLocus (f '' s) :=
preimage_comap_zeroLocus_aux f s
#align prime_spectrum.preimage_comap_zero_locus PrimeSpectrum.preimage_comap_zeroLocus
theorem comap_injective_of_surjective (f : R →+* S) (hf : Function.Surjective f) :
Function.Injective (comap f) := fun x y h =>
PrimeSpectrum.ext _ _
(Ideal.comap_injective_of_surjective f hf
(congr_arg PrimeSpectrum.asIdeal h : (comap f x).asIdeal = (comap f y).asIdeal))
#align prime_spectrum.comap_injective_of_surjective PrimeSpectrum.comap_injective_of_surjective
variable (S)
| Mathlib/AlgebraicGeometry/PrimeSpectrum/Basic.lean | 640 | 650 | theorem localization_comap_inducing [Algebra R S] (M : Submonoid R) [IsLocalization M S] :
Inducing (comap (algebraMap R S)) := by |
refine ⟨TopologicalSpace.ext_isClosed fun Z ↦ ?_⟩
simp_rw [isClosed_induced_iff, isClosed_iff_zeroLocus, @eq_comm _ _ (zeroLocus _),
exists_exists_eq_and, preimage_comap_zeroLocus]
constructor
· rintro ⟨s, rfl⟩
refine ⟨(Ideal.span s).comap (algebraMap R S), ?_⟩
rw [← zeroLocus_span, ← zeroLocus_span s, ← Ideal.map, IsLocalization.map_comap M S]
· rintro ⟨s, rfl⟩
exact ⟨_, rfl⟩
|
/-
Copyright (c) 2019 Calle Sönne. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Calle Sönne
-/
import Mathlib.Analysis.SpecialFunctions.Trigonometric.Basic
import Mathlib.Analysis.Normed.Group.AddCircle
import Mathlib.Algebra.CharZero.Quotient
import Mathlib.Topology.Instances.Sign
#align_import analysis.special_functions.trigonometric.angle from "leanprover-community/mathlib"@"213b0cff7bc5ab6696ee07cceec80829ce42efec"
/-!
# The type of angles
In this file we define `Real.Angle` to be the quotient group `ℝ/2πℤ` and prove a few simple lemmas
about trigonometric functions and angles.
-/
open Real
noncomputable section
namespace Real
-- Porting note: can't derive `NormedAddCommGroup, Inhabited`
/-- The type of angles -/
def Angle : Type :=
AddCircle (2 * π)
#align real.angle Real.Angle
namespace Angle
-- Porting note (#10754): added due to missing instances due to no deriving
instance : NormedAddCommGroup Angle :=
inferInstanceAs (NormedAddCommGroup (AddCircle (2 * π)))
-- Porting note (#10754): added due to missing instances due to no deriving
instance : Inhabited Angle :=
inferInstanceAs (Inhabited (AddCircle (2 * π)))
-- Porting note (#10754): added due to missing instances due to no deriving
-- also, without this, a plain `QuotientAddGroup.mk`
-- causes coerced terms to be of type `ℝ ⧸ AddSubgroup.zmultiples (2 * π)`
/-- The canonical map from `ℝ` to the quotient `Angle`. -/
@[coe]
protected def coe (r : ℝ) : Angle := QuotientAddGroup.mk r
instance : Coe ℝ Angle := ⟨Angle.coe⟩
instance : CircularOrder Real.Angle :=
QuotientAddGroup.circularOrder (hp' := ⟨by norm_num [pi_pos]⟩)
@[continuity]
theorem continuous_coe : Continuous ((↑) : ℝ → Angle) :=
continuous_quotient_mk'
#align real.angle.continuous_coe Real.Angle.continuous_coe
/-- Coercion `ℝ → Angle` as an additive homomorphism. -/
def coeHom : ℝ →+ Angle :=
QuotientAddGroup.mk' _
#align real.angle.coe_hom Real.Angle.coeHom
@[simp]
theorem coe_coeHom : (coeHom : ℝ → Angle) = ((↑) : ℝ → Angle) :=
rfl
#align real.angle.coe_coe_hom Real.Angle.coe_coeHom
/-- An induction principle to deduce results for `Angle` from those for `ℝ`, used with
`induction θ using Real.Angle.induction_on`. -/
@[elab_as_elim]
protected theorem induction_on {p : Angle → Prop} (θ : Angle) (h : ∀ x : ℝ, p x) : p θ :=
Quotient.inductionOn' θ h
#align real.angle.induction_on Real.Angle.induction_on
@[simp]
theorem coe_zero : ↑(0 : ℝ) = (0 : Angle) :=
rfl
#align real.angle.coe_zero Real.Angle.coe_zero
@[simp]
theorem coe_add (x y : ℝ) : ↑(x + y : ℝ) = (↑x + ↑y : Angle) :=
rfl
#align real.angle.coe_add Real.Angle.coe_add
@[simp]
theorem coe_neg (x : ℝ) : ↑(-x : ℝ) = -(↑x : Angle) :=
rfl
#align real.angle.coe_neg Real.Angle.coe_neg
@[simp]
theorem coe_sub (x y : ℝ) : ↑(x - y : ℝ) = (↑x - ↑y : Angle) :=
rfl
#align real.angle.coe_sub Real.Angle.coe_sub
theorem coe_nsmul (n : ℕ) (x : ℝ) : ↑(n • x : ℝ) = n • (↑x : Angle) :=
rfl
#align real.angle.coe_nsmul Real.Angle.coe_nsmul
theorem coe_zsmul (z : ℤ) (x : ℝ) : ↑(z • x : ℝ) = z • (↑x : Angle) :=
rfl
#align real.angle.coe_zsmul Real.Angle.coe_zsmul
@[simp, norm_cast]
theorem natCast_mul_eq_nsmul (x : ℝ) (n : ℕ) : ↑((n : ℝ) * x) = n • (↑x : Angle) := by
simpa only [nsmul_eq_mul] using coeHom.map_nsmul x n
#align real.angle.coe_nat_mul_eq_nsmul Real.Angle.natCast_mul_eq_nsmul
@[simp, norm_cast]
theorem intCast_mul_eq_zsmul (x : ℝ) (n : ℤ) : ↑((n : ℝ) * x : ℝ) = n • (↑x : Angle) := by
simpa only [zsmul_eq_mul] using coeHom.map_zsmul x n
#align real.angle.coe_int_mul_eq_zsmul Real.Angle.intCast_mul_eq_zsmul
@[deprecated (since := "2024-05-25")] alias coe_nat_mul_eq_nsmul := natCast_mul_eq_nsmul
@[deprecated (since := "2024-05-25")] alias coe_int_mul_eq_zsmul := intCast_mul_eq_zsmul
theorem angle_eq_iff_two_pi_dvd_sub {ψ θ : ℝ} : (θ : Angle) = ψ ↔ ∃ k : ℤ, θ - ψ = 2 * π * k := by
simp only [QuotientAddGroup.eq, AddSubgroup.zmultiples_eq_closure,
AddSubgroup.mem_closure_singleton, zsmul_eq_mul', (sub_eq_neg_add _ _).symm, eq_comm]
-- Porting note: added `rw`, `simp [Angle.coe, QuotientAddGroup.eq]` doesn't fire otherwise
rw [Angle.coe, Angle.coe, QuotientAddGroup.eq]
simp only [AddSubgroup.zmultiples_eq_closure,
AddSubgroup.mem_closure_singleton, zsmul_eq_mul', (sub_eq_neg_add _ _).symm, eq_comm]
#align real.angle.angle_eq_iff_two_pi_dvd_sub Real.Angle.angle_eq_iff_two_pi_dvd_sub
@[simp]
theorem coe_two_pi : ↑(2 * π : ℝ) = (0 : Angle) :=
angle_eq_iff_two_pi_dvd_sub.2 ⟨1, by rw [sub_zero, Int.cast_one, mul_one]⟩
#align real.angle.coe_two_pi Real.Angle.coe_two_pi
@[simp]
theorem neg_coe_pi : -(π : Angle) = π := by
rw [← coe_neg, angle_eq_iff_two_pi_dvd_sub]
use -1
simp [two_mul, sub_eq_add_neg]
#align real.angle.neg_coe_pi Real.Angle.neg_coe_pi
@[simp]
theorem two_nsmul_coe_div_two (θ : ℝ) : (2 : ℕ) • (↑(θ / 2) : Angle) = θ := by
rw [← coe_nsmul, two_nsmul, add_halves]
#align real.angle.two_nsmul_coe_div_two Real.Angle.two_nsmul_coe_div_two
@[simp]
theorem two_zsmul_coe_div_two (θ : ℝ) : (2 : ℤ) • (↑(θ / 2) : Angle) = θ := by
rw [← coe_zsmul, two_zsmul, add_halves]
#align real.angle.two_zsmul_coe_div_two Real.Angle.two_zsmul_coe_div_two
-- Porting note (#10618): @[simp] can prove it
theorem two_nsmul_neg_pi_div_two : (2 : ℕ) • (↑(-π / 2) : Angle) = π := by
rw [two_nsmul_coe_div_two, coe_neg, neg_coe_pi]
#align real.angle.two_nsmul_neg_pi_div_two Real.Angle.two_nsmul_neg_pi_div_two
-- Porting note (#10618): @[simp] can prove it
theorem two_zsmul_neg_pi_div_two : (2 : ℤ) • (↑(-π / 2) : Angle) = π := by
rw [two_zsmul, ← two_nsmul, two_nsmul_neg_pi_div_two]
#align real.angle.two_zsmul_neg_pi_div_two Real.Angle.two_zsmul_neg_pi_div_two
theorem sub_coe_pi_eq_add_coe_pi (θ : Angle) : θ - π = θ + π := by
rw [sub_eq_add_neg, neg_coe_pi]
#align real.angle.sub_coe_pi_eq_add_coe_pi Real.Angle.sub_coe_pi_eq_add_coe_pi
@[simp]
theorem two_nsmul_coe_pi : (2 : ℕ) • (π : Angle) = 0 := by simp [← natCast_mul_eq_nsmul]
#align real.angle.two_nsmul_coe_pi Real.Angle.two_nsmul_coe_pi
@[simp]
theorem two_zsmul_coe_pi : (2 : ℤ) • (π : Angle) = 0 := by simp [← intCast_mul_eq_zsmul]
#align real.angle.two_zsmul_coe_pi Real.Angle.two_zsmul_coe_pi
@[simp]
| Mathlib/Analysis/SpecialFunctions/Trigonometric/Angle.lean | 173 | 173 | theorem coe_pi_add_coe_pi : (π : Real.Angle) + π = 0 := by | rw [← two_nsmul, two_nsmul_coe_pi]
|
/-
Copyright (c) 2021 Rémy Degenne. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Rémy Degenne
-/
import Mathlib.Analysis.InnerProductSpace.Basic
import Mathlib.Analysis.NormedSpace.Dual
import Mathlib.MeasureTheory.Function.StronglyMeasurable.Lp
import Mathlib.MeasureTheory.Integral.SetIntegral
#align_import measure_theory.function.ae_eq_of_integral from "leanprover-community/mathlib"@"915591b2bb3ea303648db07284a161a7f2a9e3d4"
/-! # From equality of integrals to equality of functions
This file provides various statements of the general form "if two functions have the same integral
on all sets, then they are equal almost everywhere".
The different lemmas use various hypotheses on the class of functions, on the target space or on the
possible finiteness of the measure.
## Main statements
All results listed below apply to two functions `f, g`, together with two main hypotheses,
* `f` and `g` are integrable on all measurable sets with finite measure,
* for all measurable sets `s` with finite measure, `∫ x in s, f x ∂μ = ∫ x in s, g x ∂μ`.
The conclusion is then `f =ᵐ[μ] g`. The main lemmas are:
* `ae_eq_of_forall_setIntegral_eq_of_sigmaFinite`: case of a sigma-finite measure.
* `AEFinStronglyMeasurable.ae_eq_of_forall_setIntegral_eq`: for functions which are
`AEFinStronglyMeasurable`.
* `Lp.ae_eq_of_forall_setIntegral_eq`: for elements of `Lp`, for `0 < p < ∞`.
* `Integrable.ae_eq_of_forall_setIntegral_eq`: for integrable functions.
For each of these results, we also provide a lemma about the equality of one function and 0. For
example, `Lp.ae_eq_zero_of_forall_setIntegral_eq_zero`.
We also register the corresponding lemma for integrals of `ℝ≥0∞`-valued functions, in
`ae_eq_of_forall_set_lintegral_eq_of_sigmaFinite`.
Generally useful lemmas which are not related to integrals:
* `ae_eq_zero_of_forall_inner`: if for all constants `c`, `fun x => inner c (f x) =ᵐ[μ] 0` then
`f =ᵐ[μ] 0`.
* `ae_eq_zero_of_forall_dual`: if for all constants `c` in the dual space,
`fun x => c (f x) =ᵐ[μ] 0` then `f =ᵐ[μ] 0`.
-/
open MeasureTheory TopologicalSpace NormedSpace Filter
open scoped ENNReal NNReal MeasureTheory Topology
namespace MeasureTheory
section AeEqOfForall
variable {α E 𝕜 : Type*} {m : MeasurableSpace α} {μ : Measure α} [RCLike 𝕜]
theorem ae_eq_zero_of_forall_inner [NormedAddCommGroup E] [InnerProductSpace 𝕜 E]
[SecondCountableTopology E] {f : α → E} (hf : ∀ c : E, (fun x => (inner c (f x) : 𝕜)) =ᵐ[μ] 0) :
f =ᵐ[μ] 0 := by
let s := denseSeq E
have hs : DenseRange s := denseRange_denseSeq E
have hf' : ∀ᵐ x ∂μ, ∀ n : ℕ, inner (s n) (f x) = (0 : 𝕜) := ae_all_iff.mpr fun n => hf (s n)
refine hf'.mono fun x hx => ?_
rw [Pi.zero_apply, ← @inner_self_eq_zero 𝕜]
have h_closed : IsClosed {c : E | inner c (f x) = (0 : 𝕜)} :=
isClosed_eq (continuous_id.inner continuous_const) continuous_const
exact @isClosed_property ℕ E _ s (fun c => inner c (f x) = (0 : 𝕜)) hs h_closed (fun n => hx n) _
#align measure_theory.ae_eq_zero_of_forall_inner MeasureTheory.ae_eq_zero_of_forall_inner
local notation "⟪" x ", " y "⟫" => y x
variable (𝕜)
theorem ae_eq_zero_of_forall_dual_of_isSeparable [NormedAddCommGroup E] [NormedSpace 𝕜 E]
{t : Set E} (ht : TopologicalSpace.IsSeparable t) {f : α → E}
(hf : ∀ c : Dual 𝕜 E, (fun x => ⟪f x, c⟫) =ᵐ[μ] 0) (h't : ∀ᵐ x ∂μ, f x ∈ t) : f =ᵐ[μ] 0 := by
rcases ht with ⟨d, d_count, hd⟩
haveI : Encodable d := d_count.toEncodable
have : ∀ x : d, ∃ g : E →L[𝕜] 𝕜, ‖g‖ ≤ 1 ∧ g x = ‖(x : E)‖ :=
fun x => exists_dual_vector'' 𝕜 (x : E)
choose s hs using this
have A : ∀ a : E, a ∈ t → (∀ x, ⟪a, s x⟫ = (0 : 𝕜)) → a = 0 := by
intro a hat ha
contrapose! ha
have a_pos : 0 < ‖a‖ := by simp only [ha, norm_pos_iff, Ne, not_false_iff]
have a_mem : a ∈ closure d := hd hat
obtain ⟨x, hx⟩ : ∃ x : d, dist a x < ‖a‖ / 2 := by
rcases Metric.mem_closure_iff.1 a_mem (‖a‖ / 2) (half_pos a_pos) with ⟨x, h'x, hx⟩
exact ⟨⟨x, h'x⟩, hx⟩
use x
have I : ‖a‖ / 2 < ‖(x : E)‖ := by
have : ‖a‖ ≤ ‖(x : E)‖ + ‖a - x‖ := norm_le_insert' _ _
have : ‖a - x‖ < ‖a‖ / 2 := by rwa [dist_eq_norm] at hx
linarith
intro h
apply lt_irrefl ‖s x x‖
calc
‖s x x‖ = ‖s x (x - a)‖ := by simp only [h, sub_zero, ContinuousLinearMap.map_sub]
_ ≤ 1 * ‖(x : E) - a‖ := ContinuousLinearMap.le_of_opNorm_le _ (hs x).1 _
_ < ‖a‖ / 2 := by rw [one_mul]; rwa [dist_eq_norm'] at hx
_ < ‖(x : E)‖ := I
_ = ‖s x x‖ := by rw [(hs x).2, RCLike.norm_coe_norm]
have hfs : ∀ y : d, ∀ᵐ x ∂μ, ⟪f x, s y⟫ = (0 : 𝕜) := fun y => hf (s y)
have hf' : ∀ᵐ x ∂μ, ∀ y : d, ⟪f x, s y⟫ = (0 : 𝕜) := by rwa [ae_all_iff]
filter_upwards [hf', h't] with x hx h'x
exact A (f x) h'x hx
#align measure_theory.ae_eq_zero_of_forall_dual_of_is_separable MeasureTheory.ae_eq_zero_of_forall_dual_of_isSeparable
theorem ae_eq_zero_of_forall_dual [NormedAddCommGroup E] [NormedSpace 𝕜 E]
[SecondCountableTopology E] {f : α → E} (hf : ∀ c : Dual 𝕜 E, (fun x => ⟪f x, c⟫) =ᵐ[μ] 0) :
f =ᵐ[μ] 0 :=
ae_eq_zero_of_forall_dual_of_isSeparable 𝕜 (.of_separableSpace Set.univ) hf
(eventually_of_forall fun _ => Set.mem_univ _)
#align measure_theory.ae_eq_zero_of_forall_dual MeasureTheory.ae_eq_zero_of_forall_dual
variable {𝕜}
end AeEqOfForall
variable {α E : Type*} {m m0 : MeasurableSpace α} {μ : Measure α} {s t : Set α}
[NormedAddCommGroup E] [NormedSpace ℝ E] [CompleteSpace E] {p : ℝ≥0∞}
section AeEqOfForallSetIntegralEq
theorem ae_const_le_iff_forall_lt_measure_zero {β} [LinearOrder β] [TopologicalSpace β]
[OrderTopology β] [FirstCountableTopology β] (f : α → β) (c : β) :
(∀ᵐ x ∂μ, c ≤ f x) ↔ ∀ b < c, μ {x | f x ≤ b} = 0 := by
rw [ae_iff]
push_neg
constructor
· intro h b hb
exact measure_mono_null (fun y hy => (lt_of_le_of_lt hy hb : _)) h
intro hc
by_cases h : ∀ b, c ≤ b
· have : {a : α | f a < c} = ∅ := by
apply Set.eq_empty_iff_forall_not_mem.2 fun x hx => ?_
exact (lt_irrefl _ (lt_of_lt_of_le hx (h (f x)))).elim
simp [this]
by_cases H : ¬IsLUB (Set.Iio c) c
· have : c ∈ upperBounds (Set.Iio c) := fun y hy => le_of_lt hy
obtain ⟨b, b_up, bc⟩ : ∃ b : β, b ∈ upperBounds (Set.Iio c) ∧ b < c := by
simpa [IsLUB, IsLeast, this, lowerBounds] using H
exact measure_mono_null (fun x hx => b_up hx) (hc b bc)
push_neg at H h
obtain ⟨u, _, u_lt, u_lim, -⟩ :
∃ u : ℕ → β,
StrictMono u ∧ (∀ n : ℕ, u n < c) ∧ Tendsto u atTop (𝓝 c) ∧ ∀ n : ℕ, u n ∈ Set.Iio c :=
H.exists_seq_strictMono_tendsto_of_not_mem (lt_irrefl c) h
have h_Union : {x | f x < c} = ⋃ n : ℕ, {x | f x ≤ u n} := by
ext1 x
simp_rw [Set.mem_iUnion, Set.mem_setOf_eq]
constructor <;> intro h
· obtain ⟨n, hn⟩ := ((tendsto_order.1 u_lim).1 _ h).exists; exact ⟨n, hn.le⟩
· obtain ⟨n, hn⟩ := h; exact hn.trans_lt (u_lt _)
rw [h_Union, measure_iUnion_null_iff]
intro n
exact hc _ (u_lt n)
#align measure_theory.ae_const_le_iff_forall_lt_measure_zero MeasureTheory.ae_const_le_iff_forall_lt_measure_zero
section ENNReal
open scoped Topology
theorem ae_le_of_forall_set_lintegral_le_of_sigmaFinite [SigmaFinite μ] {f g : α → ℝ≥0∞}
(hf : Measurable f) (hg : Measurable g)
(h : ∀ s, MeasurableSet s → μ s < ∞ → (∫⁻ x in s, f x ∂μ) ≤ ∫⁻ x in s, g x ∂μ) : f ≤ᵐ[μ] g := by
have A :
∀ (ε N : ℝ≥0) (p : ℕ), 0 < ε → μ ({x | g x + ε ≤ f x ∧ g x ≤ N} ∩ spanningSets μ p) = 0 := by
intro ε N p εpos
let s := {x | g x + ε ≤ f x ∧ g x ≤ N} ∩ spanningSets μ p
have s_meas : MeasurableSet s := by
have A : MeasurableSet {x | g x + ε ≤ f x} := measurableSet_le (hg.add measurable_const) hf
have B : MeasurableSet {x | g x ≤ N} := measurableSet_le hg measurable_const
exact (A.inter B).inter (measurable_spanningSets μ p)
have s_lt_top : μ s < ∞ :=
(measure_mono (Set.inter_subset_right)).trans_lt (measure_spanningSets_lt_top μ p)
have A : (∫⁻ x in s, g x ∂μ) + ε * μ s ≤ (∫⁻ x in s, g x ∂μ) + 0 :=
calc
(∫⁻ x in s, g x ∂μ) + ε * μ s = (∫⁻ x in s, g x ∂μ) + ∫⁻ _ in s, ε ∂μ := by
simp only [lintegral_const, Set.univ_inter, MeasurableSet.univ, Measure.restrict_apply]
_ = ∫⁻ x in s, g x + ε ∂μ := (lintegral_add_right _ measurable_const).symm
_ ≤ ∫⁻ x in s, f x ∂μ :=
(set_lintegral_mono (hg.add measurable_const) hf fun x hx => hx.1.1)
_ ≤ (∫⁻ x in s, g x ∂μ) + 0 := by rw [add_zero]; exact h s s_meas s_lt_top
have B : (∫⁻ x in s, g x ∂μ) ≠ ∞ := by
apply ne_of_lt
calc
(∫⁻ x in s, g x ∂μ) ≤ ∫⁻ _ in s, N ∂μ :=
set_lintegral_mono hg measurable_const fun x hx => hx.1.2
_ = N * μ s := by
simp only [lintegral_const, Set.univ_inter, MeasurableSet.univ, Measure.restrict_apply]
_ < ∞ := by
simp only [lt_top_iff_ne_top, s_lt_top.ne, and_false_iff, ENNReal.coe_ne_top,
ENNReal.mul_eq_top, Ne, not_false_iff, false_and_iff, or_self_iff]
have : (ε : ℝ≥0∞) * μ s ≤ 0 := ENNReal.le_of_add_le_add_left B A
simpa only [ENNReal.coe_eq_zero, nonpos_iff_eq_zero, mul_eq_zero, εpos.ne', false_or_iff]
obtain ⟨u, _, u_pos, u_lim⟩ :
∃ u : ℕ → ℝ≥0, StrictAnti u ∧ (∀ n, 0 < u n) ∧ Tendsto u atTop (𝓝 0) :=
exists_seq_strictAnti_tendsto (0 : ℝ≥0)
let s := fun n : ℕ => {x | g x + u n ≤ f x ∧ g x ≤ (n : ℝ≥0)} ∩ spanningSets μ n
have μs : ∀ n, μ (s n) = 0 := fun n => A _ _ _ (u_pos n)
have B : {x | f x ≤ g x}ᶜ ⊆ ⋃ n, s n := by
intro x hx
simp only [Set.mem_compl_iff, Set.mem_setOf, not_le] at hx
have L1 : ∀ᶠ n in atTop, g x + u n ≤ f x := by
have : Tendsto (fun n => g x + u n) atTop (𝓝 (g x + (0 : ℝ≥0))) :=
tendsto_const_nhds.add (ENNReal.tendsto_coe.2 u_lim)
simp only [ENNReal.coe_zero, add_zero] at this
exact eventually_le_of_tendsto_lt hx this
have L2 : ∀ᶠ n : ℕ in (atTop : Filter ℕ), g x ≤ (n : ℝ≥0) :=
haveI : Tendsto (fun n : ℕ => ((n : ℝ≥0) : ℝ≥0∞)) atTop (𝓝 ∞) := by
simp only [ENNReal.coe_natCast]
exact ENNReal.tendsto_nat_nhds_top
eventually_ge_of_tendsto_gt (hx.trans_le le_top) this
apply Set.mem_iUnion.2
exact ((L1.and L2).and (eventually_mem_spanningSets μ x)).exists
refine le_antisymm ?_ bot_le
calc
μ {x : α | (fun x : α => f x ≤ g x) x}ᶜ ≤ μ (⋃ n, s n) := measure_mono B
_ ≤ ∑' n, μ (s n) := measure_iUnion_le _
_ = 0 := by simp only [μs, tsum_zero]
#align measure_theory.ae_le_of_forall_set_lintegral_le_of_sigma_finite MeasureTheory.ae_le_of_forall_set_lintegral_le_of_sigmaFinite
theorem ae_le_of_forall_set_lintegral_le_of_sigmaFinite₀ [SigmaFinite μ]
{f g : α → ℝ≥0∞} (hf : AEMeasurable f μ) (hg : AEMeasurable g μ)
(h : ∀ s, MeasurableSet s → μ s < ∞ → ∫⁻ x in s, f x ∂μ ≤ ∫⁻ x in s, g x ∂μ) :
f ≤ᵐ[μ] g := by
have h' : ∀ s, MeasurableSet s → μ s < ∞ → ∫⁻ x in s, hf.mk f x ∂μ ≤ ∫⁻ x in s, hg.mk g x ∂μ := by
refine fun s hs hμs ↦ (set_lintegral_congr_fun hs ?_).trans_le
((h s hs hμs).trans_eq (set_lintegral_congr_fun hs ?_))
· filter_upwards [hf.ae_eq_mk] with a ha using fun _ ↦ ha.symm
· filter_upwards [hg.ae_eq_mk] with a ha using fun _ ↦ ha
filter_upwards [hf.ae_eq_mk, hg.ae_eq_mk,
ae_le_of_forall_set_lintegral_le_of_sigmaFinite hf.measurable_mk hg.measurable_mk h']
with a haf hag ha
rwa [haf, hag]
theorem ae_eq_of_forall_set_lintegral_eq_of_sigmaFinite₀ [SigmaFinite μ]
{f g : α → ℝ≥0∞} (hf : AEMeasurable f μ) (hg : AEMeasurable g μ)
(h : ∀ s, MeasurableSet s → μ s < ∞ → ∫⁻ x in s, f x ∂μ = ∫⁻ x in s, g x ∂μ) : f =ᵐ[μ] g := by
have A : f ≤ᵐ[μ] g :=
ae_le_of_forall_set_lintegral_le_of_sigmaFinite₀ hf hg fun s hs h's => le_of_eq (h s hs h's)
have B : g ≤ᵐ[μ] f :=
ae_le_of_forall_set_lintegral_le_of_sigmaFinite₀ hg hf fun s hs h's => ge_of_eq (h s hs h's)
filter_upwards [A, B] with x using le_antisymm
theorem ae_eq_of_forall_set_lintegral_eq_of_sigmaFinite [SigmaFinite μ] {f g : α → ℝ≥0∞}
(hf : Measurable f) (hg : Measurable g)
(h : ∀ s, MeasurableSet s → μ s < ∞ → ∫⁻ x in s, f x ∂μ = ∫⁻ x in s, g x ∂μ) : f =ᵐ[μ] g :=
ae_eq_of_forall_set_lintegral_eq_of_sigmaFinite₀ hf.aemeasurable hg.aemeasurable h
#align measure_theory.ae_eq_of_forall_set_lintegral_eq_of_sigma_finite MeasureTheory.ae_eq_of_forall_set_lintegral_eq_of_sigmaFinite
end ENNReal
section Real
variable {f : α → ℝ}
/-- Don't use this lemma. Use `ae_nonneg_of_forall_setIntegral_nonneg`. -/
theorem ae_nonneg_of_forall_setIntegral_nonneg_of_stronglyMeasurable (hfm : StronglyMeasurable f)
(hf : Integrable f μ) (hf_zero : ∀ s, MeasurableSet s → μ s < ∞ → 0 ≤ ∫ x in s, f x ∂μ) :
0 ≤ᵐ[μ] f := by
simp_rw [EventuallyLE, Pi.zero_apply]
rw [ae_const_le_iff_forall_lt_measure_zero]
intro b hb_neg
let s := {x | f x ≤ b}
have hs : MeasurableSet s := hfm.measurableSet_le stronglyMeasurable_const
have mus : μ s < ∞ := Integrable.measure_le_lt_top hf hb_neg
have h_int_gt : (∫ x in s, f x ∂μ) ≤ b * (μ s).toReal := by
have h_const_le : (∫ x in s, f x ∂μ) ≤ ∫ _ in s, b ∂μ := by
refine
setIntegral_mono_ae_restrict hf.integrableOn (integrableOn_const.mpr (Or.inr mus)) ?_
rw [EventuallyLE, ae_restrict_iff hs]
exact eventually_of_forall fun x hxs => hxs
rwa [setIntegral_const, smul_eq_mul, mul_comm] at h_const_le
by_contra h
refine (lt_self_iff_false (∫ x in s, f x ∂μ)).mp (h_int_gt.trans_lt ?_)
refine (mul_neg_iff.mpr (Or.inr ⟨hb_neg, ?_⟩)).trans_le ?_
swap
· exact hf_zero s hs mus
refine ENNReal.toReal_nonneg.lt_of_ne fun h_eq => h ?_
cases' (ENNReal.toReal_eq_zero_iff _).mp h_eq.symm with hμs_eq_zero hμs_eq_top
· exact hμs_eq_zero
· exact absurd hμs_eq_top mus.ne
#align measure_theory.ae_nonneg_of_forall_set_integral_nonneg_of_strongly_measurable MeasureTheory.ae_nonneg_of_forall_setIntegral_nonneg_of_stronglyMeasurable
@[deprecated (since := "2024-04-17")]
alias ae_nonneg_of_forall_set_integral_nonneg_of_stronglyMeasurable :=
ae_nonneg_of_forall_setIntegral_nonneg_of_stronglyMeasurable
theorem ae_nonneg_of_forall_setIntegral_nonneg (hf : Integrable f μ)
(hf_zero : ∀ s, MeasurableSet s → μ s < ∞ → 0 ≤ ∫ x in s, f x ∂μ) : 0 ≤ᵐ[μ] f := by
rcases hf.1 with ⟨f', hf'_meas, hf_ae⟩
have hf'_integrable : Integrable f' μ := Integrable.congr hf hf_ae
have hf'_zero : ∀ s, MeasurableSet s → μ s < ∞ → 0 ≤ ∫ x in s, f' x ∂μ := by
intro s hs h's
rw [setIntegral_congr_ae hs (hf_ae.mono fun x hx _ => hx.symm)]
exact hf_zero s hs h's
exact
(ae_nonneg_of_forall_setIntegral_nonneg_of_stronglyMeasurable hf'_meas hf'_integrable
hf'_zero).trans
hf_ae.symm.le
#align measure_theory.ae_nonneg_of_forall_set_integral_nonneg MeasureTheory.ae_nonneg_of_forall_setIntegral_nonneg
@[deprecated (since := "2024-04-17")]
alias ae_nonneg_of_forall_set_integral_nonneg :=
ae_nonneg_of_forall_setIntegral_nonneg
theorem ae_le_of_forall_setIntegral_le {f g : α → ℝ} (hf : Integrable f μ) (hg : Integrable g μ)
(hf_le : ∀ s, MeasurableSet s → μ s < ∞ → (∫ x in s, f x ∂μ) ≤ ∫ x in s, g x ∂μ) :
f ≤ᵐ[μ] g := by
rw [← eventually_sub_nonneg]
refine ae_nonneg_of_forall_setIntegral_nonneg (hg.sub hf) fun s hs => ?_
rw [integral_sub' hg.integrableOn hf.integrableOn, sub_nonneg]
exact hf_le s hs
#align measure_theory.ae_le_of_forall_set_integral_le MeasureTheory.ae_le_of_forall_setIntegral_le
@[deprecated (since := "2024-04-17")]
alias ae_le_of_forall_set_integral_le := ae_le_of_forall_setIntegral_le
theorem ae_nonneg_restrict_of_forall_setIntegral_nonneg_inter {f : α → ℝ} {t : Set α}
(hf : IntegrableOn f t μ)
(hf_zero : ∀ s, MeasurableSet s → μ (s ∩ t) < ∞ → 0 ≤ ∫ x in s ∩ t, f x ∂μ) :
0 ≤ᵐ[μ.restrict t] f := by
refine ae_nonneg_of_forall_setIntegral_nonneg hf fun s hs h's => ?_
simp_rw [Measure.restrict_restrict hs]
apply hf_zero s hs
rwa [Measure.restrict_apply hs] at h's
#align measure_theory.ae_nonneg_restrict_of_forall_set_integral_nonneg_inter MeasureTheory.ae_nonneg_restrict_of_forall_setIntegral_nonneg_inter
@[deprecated (since := "2024-04-17")]
alias ae_nonneg_restrict_of_forall_set_integral_nonneg_inter :=
ae_nonneg_restrict_of_forall_setIntegral_nonneg_inter
theorem ae_nonneg_of_forall_setIntegral_nonneg_of_sigmaFinite [SigmaFinite μ] {f : α → ℝ}
(hf_int_finite : ∀ s, MeasurableSet s → μ s < ∞ → IntegrableOn f s μ)
(hf_zero : ∀ s, MeasurableSet s → μ s < ∞ → 0 ≤ ∫ x in s, f x ∂μ) : 0 ≤ᵐ[μ] f := by
apply ae_of_forall_measure_lt_top_ae_restrict
intro t t_meas t_lt_top
apply ae_nonneg_restrict_of_forall_setIntegral_nonneg_inter (hf_int_finite t t_meas t_lt_top)
intro s s_meas _
exact
hf_zero _ (s_meas.inter t_meas)
(lt_of_le_of_lt (measure_mono (Set.inter_subset_right)) t_lt_top)
#align measure_theory.ae_nonneg_of_forall_set_integral_nonneg_of_sigma_finite MeasureTheory.ae_nonneg_of_forall_setIntegral_nonneg_of_sigmaFinite
@[deprecated (since := "2024-04-17")]
alias ae_nonneg_of_forall_set_integral_nonneg_of_sigmaFinite :=
ae_nonneg_of_forall_setIntegral_nonneg_of_sigmaFinite
theorem AEFinStronglyMeasurable.ae_nonneg_of_forall_setIntegral_nonneg {f : α → ℝ}
(hf : AEFinStronglyMeasurable f μ)
(hf_int_finite : ∀ s, MeasurableSet s → μ s < ∞ → IntegrableOn f s μ)
(hf_zero : ∀ s, MeasurableSet s → μ s < ∞ → 0 ≤ ∫ x in s, f x ∂μ) : 0 ≤ᵐ[μ] f := by
let t := hf.sigmaFiniteSet
suffices 0 ≤ᵐ[μ.restrict t] f from
ae_of_ae_restrict_of_ae_restrict_compl _ this hf.ae_eq_zero_compl.symm.le
haveI : SigmaFinite (μ.restrict t) := hf.sigmaFinite_restrict
refine
ae_nonneg_of_forall_setIntegral_nonneg_of_sigmaFinite (fun s hs hμts => ?_) fun s hs hμts => ?_
· rw [IntegrableOn, Measure.restrict_restrict hs]
rw [Measure.restrict_apply hs] at hμts
exact hf_int_finite (s ∩ t) (hs.inter hf.measurableSet) hμts
· rw [Measure.restrict_restrict hs]
rw [Measure.restrict_apply hs] at hμts
exact hf_zero (s ∩ t) (hs.inter hf.measurableSet) hμts
#align measure_theory.ae_fin_strongly_measurable.ae_nonneg_of_forall_set_integral_nonneg MeasureTheory.AEFinStronglyMeasurable.ae_nonneg_of_forall_setIntegral_nonneg
@[deprecated (since := "2024-04-17")]
alias AEFinStronglyMeasurable.ae_nonneg_of_forall_set_integral_nonneg :=
AEFinStronglyMeasurable.ae_nonneg_of_forall_setIntegral_nonneg
theorem ae_nonneg_restrict_of_forall_setIntegral_nonneg {f : α → ℝ}
(hf_int_finite : ∀ s, MeasurableSet s → μ s < ∞ → IntegrableOn f s μ)
(hf_zero : ∀ s, MeasurableSet s → μ s < ∞ → 0 ≤ ∫ x in s, f x ∂μ) {t : Set α}
(ht : MeasurableSet t) (hμt : μ t ≠ ∞) : 0 ≤ᵐ[μ.restrict t] f := by
refine
ae_nonneg_restrict_of_forall_setIntegral_nonneg_inter
(hf_int_finite t ht (lt_top_iff_ne_top.mpr hμt)) fun s hs _ => ?_
refine hf_zero (s ∩ t) (hs.inter ht) ?_
exact (measure_mono Set.inter_subset_right).trans_lt (lt_top_iff_ne_top.mpr hμt)
#align measure_theory.ae_nonneg_restrict_of_forall_set_integral_nonneg MeasureTheory.ae_nonneg_restrict_of_forall_setIntegral_nonneg
@[deprecated (since := "2024-04-17")]
alias ae_nonneg_restrict_of_forall_set_integral_nonneg :=
ae_nonneg_restrict_of_forall_setIntegral_nonneg
theorem ae_eq_zero_restrict_of_forall_setIntegral_eq_zero_real {f : α → ℝ}
(hf_int_finite : ∀ s, MeasurableSet s → μ s < ∞ → IntegrableOn f s μ)
(hf_zero : ∀ s, MeasurableSet s → μ s < ∞ → ∫ x in s, f x ∂μ = 0) {t : Set α}
(ht : MeasurableSet t) (hμt : μ t ≠ ∞) : f =ᵐ[μ.restrict t] 0 := by
suffices h_and : f ≤ᵐ[μ.restrict t] 0 ∧ 0 ≤ᵐ[μ.restrict t] f from
h_and.1.mp (h_and.2.mono fun x hx1 hx2 => le_antisymm hx2 hx1)
refine
⟨?_,
ae_nonneg_restrict_of_forall_setIntegral_nonneg hf_int_finite
(fun s hs hμs => (hf_zero s hs hμs).symm.le) ht hμt⟩
suffices h_neg : 0 ≤ᵐ[μ.restrict t] -f by
refine h_neg.mono fun x hx => ?_
rw [Pi.neg_apply] at hx
simpa using hx
refine
ae_nonneg_restrict_of_forall_setIntegral_nonneg (fun s hs hμs => (hf_int_finite s hs hμs).neg)
(fun s hs hμs => ?_) ht hμt
simp_rw [Pi.neg_apply]
rw [integral_neg, neg_nonneg]
exact (hf_zero s hs hμs).le
#align measure_theory.ae_eq_zero_restrict_of_forall_set_integral_eq_zero_real MeasureTheory.ae_eq_zero_restrict_of_forall_setIntegral_eq_zero_real
@[deprecated (since := "2024-04-17")]
alias ae_eq_zero_restrict_of_forall_set_integral_eq_zero_real :=
ae_eq_zero_restrict_of_forall_setIntegral_eq_zero_real
end Real
theorem ae_eq_zero_restrict_of_forall_setIntegral_eq_zero {f : α → E}
(hf_int_finite : ∀ s, MeasurableSet s → μ s < ∞ → IntegrableOn f s μ)
(hf_zero : ∀ s : Set α, MeasurableSet s → μ s < ∞ → ∫ x in s, f x ∂μ = 0) {t : Set α}
(ht : MeasurableSet t) (hμt : μ t ≠ ∞) : f =ᵐ[μ.restrict t] 0 := by
rcases (hf_int_finite t ht hμt.lt_top).aestronglyMeasurable.isSeparable_ae_range with
⟨u, u_sep, hu⟩
refine ae_eq_zero_of_forall_dual_of_isSeparable ℝ u_sep (fun c => ?_) hu
refine ae_eq_zero_restrict_of_forall_setIntegral_eq_zero_real ?_ ?_ ht hμt
· intro s hs hμs
exact ContinuousLinearMap.integrable_comp c (hf_int_finite s hs hμs)
· intro s hs hμs
rw [ContinuousLinearMap.integral_comp_comm c (hf_int_finite s hs hμs), hf_zero s hs hμs]
exact ContinuousLinearMap.map_zero _
#align measure_theory.ae_eq_zero_restrict_of_forall_set_integral_eq_zero MeasureTheory.ae_eq_zero_restrict_of_forall_setIntegral_eq_zero
@[deprecated (since := "2024-04-17")]
alias ae_eq_zero_restrict_of_forall_set_integral_eq_zero :=
ae_eq_zero_restrict_of_forall_setIntegral_eq_zero
theorem ae_eq_restrict_of_forall_setIntegral_eq {f g : α → E}
(hf_int_finite : ∀ s, MeasurableSet s → μ s < ∞ → IntegrableOn f s μ)
(hg_int_finite : ∀ s, MeasurableSet s → μ s < ∞ → IntegrableOn g s μ)
(hfg_zero : ∀ s : Set α, MeasurableSet s → μ s < ∞ → ∫ x in s, f x ∂μ = ∫ x in s, g x ∂μ)
{t : Set α} (ht : MeasurableSet t) (hμt : μ t ≠ ∞) : f =ᵐ[μ.restrict t] g := by
rw [← sub_ae_eq_zero]
have hfg' : ∀ s : Set α, MeasurableSet s → μ s < ∞ → (∫ x in s, (f - g) x ∂μ) = 0 := by
intro s hs hμs
rw [integral_sub' (hf_int_finite s hs hμs) (hg_int_finite s hs hμs)]
exact sub_eq_zero.mpr (hfg_zero s hs hμs)
have hfg_int : ∀ s, MeasurableSet s → μ s < ∞ → IntegrableOn (f - g) s μ := fun s hs hμs =>
(hf_int_finite s hs hμs).sub (hg_int_finite s hs hμs)
exact ae_eq_zero_restrict_of_forall_setIntegral_eq_zero hfg_int hfg' ht hμt
#align measure_theory.ae_eq_restrict_of_forall_set_integral_eq MeasureTheory.ae_eq_restrict_of_forall_setIntegral_eq
@[deprecated (since := "2024-04-17")]
alias ae_eq_restrict_of_forall_set_integral_eq :=
ae_eq_restrict_of_forall_setIntegral_eq
theorem ae_eq_zero_of_forall_setIntegral_eq_of_sigmaFinite [SigmaFinite μ] {f : α → E}
(hf_int_finite : ∀ s, MeasurableSet s → μ s < ∞ → IntegrableOn f s μ)
(hf_zero : ∀ s : Set α, MeasurableSet s → μ s < ∞ → ∫ x in s, f x ∂μ = 0) : f =ᵐ[μ] 0 := by
let S := spanningSets μ
rw [← @Measure.restrict_univ _ _ μ, ← iUnion_spanningSets μ, EventuallyEq, ae_iff,
Measure.restrict_apply' (MeasurableSet.iUnion (measurable_spanningSets μ))]
rw [Set.inter_iUnion, measure_iUnion_null_iff]
intro n
have h_meas_n : MeasurableSet (S n) := measurable_spanningSets μ n
have hμn : μ (S n) < ∞ := measure_spanningSets_lt_top μ n
rw [← Measure.restrict_apply' h_meas_n]
exact ae_eq_zero_restrict_of_forall_setIntegral_eq_zero hf_int_finite hf_zero h_meas_n hμn.ne
#align measure_theory.ae_eq_zero_of_forall_set_integral_eq_of_sigma_finite MeasureTheory.ae_eq_zero_of_forall_setIntegral_eq_of_sigmaFinite
@[deprecated (since := "2024-04-17")]
alias ae_eq_zero_of_forall_set_integral_eq_of_sigmaFinite :=
ae_eq_zero_of_forall_setIntegral_eq_of_sigmaFinite
theorem ae_eq_of_forall_setIntegral_eq_of_sigmaFinite [SigmaFinite μ] {f g : α → E}
(hf_int_finite : ∀ s, MeasurableSet s → μ s < ∞ → IntegrableOn f s μ)
(hg_int_finite : ∀ s, MeasurableSet s → μ s < ∞ → IntegrableOn g s μ)
(hfg_eq : ∀ s : Set α, MeasurableSet s → μ s < ∞ → ∫ x in s, f x ∂μ = ∫ x in s, g x ∂μ) :
f =ᵐ[μ] g := by
rw [← sub_ae_eq_zero]
have hfg : ∀ s : Set α, MeasurableSet s → μ s < ∞ → (∫ x in s, (f - g) x ∂μ) = 0 := by
intro s hs hμs
rw [integral_sub' (hf_int_finite s hs hμs) (hg_int_finite s hs hμs),
sub_eq_zero.mpr (hfg_eq s hs hμs)]
have hfg_int : ∀ s, MeasurableSet s → μ s < ∞ → IntegrableOn (f - g) s μ := fun s hs hμs =>
(hf_int_finite s hs hμs).sub (hg_int_finite s hs hμs)
exact ae_eq_zero_of_forall_setIntegral_eq_of_sigmaFinite hfg_int hfg
#align measure_theory.ae_eq_of_forall_set_integral_eq_of_sigma_finite MeasureTheory.ae_eq_of_forall_setIntegral_eq_of_sigmaFinite
@[deprecated (since := "2024-04-17")]
alias ae_eq_of_forall_set_integral_eq_of_sigmaFinite :=
ae_eq_of_forall_setIntegral_eq_of_sigmaFinite
| Mathlib/MeasureTheory/Function/AEEqOfIntegral.lean | 491 | 507 | theorem AEFinStronglyMeasurable.ae_eq_zero_of_forall_setIntegral_eq_zero {f : α → E}
(hf_int_finite : ∀ s, MeasurableSet s → μ s < ∞ → IntegrableOn f s μ)
(hf_zero : ∀ s : Set α, MeasurableSet s → μ s < ∞ → ∫ x in s, f x ∂μ = 0)
(hf : AEFinStronglyMeasurable f μ) : f =ᵐ[μ] 0 := by |
let t := hf.sigmaFiniteSet
suffices f =ᵐ[μ.restrict t] 0 from
ae_of_ae_restrict_of_ae_restrict_compl _ this hf.ae_eq_zero_compl
haveI : SigmaFinite (μ.restrict t) := hf.sigmaFinite_restrict
refine ae_eq_zero_of_forall_setIntegral_eq_of_sigmaFinite ?_ ?_
· intro s hs hμs
rw [IntegrableOn, Measure.restrict_restrict hs]
rw [Measure.restrict_apply hs] at hμs
exact hf_int_finite _ (hs.inter hf.measurableSet) hμs
· intro s hs hμs
rw [Measure.restrict_restrict hs]
rw [Measure.restrict_apply hs] at hμs
exact hf_zero _ (hs.inter hf.measurableSet) hμs
|
/-
Copyright (c) 2019 Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sébastien Gouëzel
-/
import Mathlib.Analysis.Analytic.Basic
import Mathlib.Analysis.Analytic.Composition
import Mathlib.Analysis.Analytic.Linear
import Mathlib.Analysis.Calculus.FDeriv.Analytic
import Mathlib.Geometry.Manifold.ChartedSpace
import Mathlib.Analysis.NormedSpace.FiniteDimension
import Mathlib.Analysis.Calculus.ContDiff.Basic
#align_import geometry.manifold.smooth_manifold_with_corners from "leanprover-community/mathlib"@"ddec54a71a0dd025c05445d467f1a2b7d586a3ba"
/-!
# Smooth manifolds (possibly with boundary or corners)
A smooth manifold is a manifold modelled on a normed vector space, or a subset like a
half-space (to get manifolds with boundaries) for which the changes of coordinates are smooth maps.
We define a model with corners as a map `I : H → E` embedding nicely the topological space `H` in
the vector space `E` (or more precisely as a structure containing all the relevant properties).
Given such a model with corners `I` on `(E, H)`, we define the groupoid of local
homeomorphisms of `H` which are smooth when read in `E` (for any regularity `n : ℕ∞`).
With this groupoid at hand and the general machinery of charted spaces, we thus get the notion
of `C^n` manifold with respect to any model with corners `I` on `(E, H)`. We also introduce a
specific type class for `C^∞` manifolds as these are the most commonly used.
Some texts assume manifolds to be Hausdorff and secound countable. We (in mathlib) assume neither,
but add these assumptions later as needed. (Quite a few results still do not require them.)
## Main definitions
* `ModelWithCorners 𝕜 E H` :
a structure containing informations on the way a space `H` embeds in a
model vector space E over the field `𝕜`. This is all that is needed to
define a smooth manifold with model space `H`, and model vector space `E`.
* `modelWithCornersSelf 𝕜 E` :
trivial model with corners structure on the space `E` embedded in itself by the identity.
* `contDiffGroupoid n I` :
when `I` is a model with corners on `(𝕜, E, H)`, this is the groupoid of partial homeos of `H`
which are of class `C^n` over the normed field `𝕜`, when read in `E`.
* `SmoothManifoldWithCorners I M` :
a type class saying that the charted space `M`, modelled on the space `H`, has `C^∞` changes of
coordinates with respect to the model with corners `I` on `(𝕜, E, H)`. This type class is just
a shortcut for `HasGroupoid M (contDiffGroupoid ∞ I)`.
* `extChartAt I x`:
in a smooth manifold with corners with the model `I` on `(E, H)`, the charts take values in `H`,
but often we may want to use their `E`-valued version, obtained by composing the charts with `I`.
Since the target is in general not open, we can not register them as partial homeomorphisms, but
we register them as `PartialEquiv`s.
`extChartAt I x` is the canonical such partial equiv around `x`.
As specific examples of models with corners, we define (in `Geometry.Manifold.Instances.Real`)
* `modelWithCornersSelf ℝ (EuclideanSpace (Fin n))` for the model space used to define
`n`-dimensional real manifolds without boundary (with notation `𝓡 n` in the locale `Manifold`)
* `ModelWithCorners ℝ (EuclideanSpace (Fin n)) (EuclideanHalfSpace n)` for the model space
used to define `n`-dimensional real manifolds with boundary (with notation `𝓡∂ n` in the locale
`Manifold`)
* `ModelWithCorners ℝ (EuclideanSpace (Fin n)) (EuclideanQuadrant n)` for the model space used
to define `n`-dimensional real manifolds with corners
With these definitions at hand, to invoke an `n`-dimensional real manifold without boundary,
one could use
`variable {n : ℕ} {M : Type*} [TopologicalSpace M] [ChartedSpace (EuclideanSpace (Fin n)) M]
[SmoothManifoldWithCorners (𝓡 n) M]`.
However, this is not the recommended way: a theorem proved using this assumption would not apply
for instance to the tangent space of such a manifold, which is modelled on
`(EuclideanSpace (Fin n)) × (EuclideanSpace (Fin n))` and not on `EuclideanSpace (Fin (2 * n))`!
In the same way, it would not apply to product manifolds, modelled on
`(EuclideanSpace (Fin n)) × (EuclideanSpace (Fin m))`.
The right invocation does not focus on one specific construction, but on all constructions sharing
the right properties, like
`variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] [FiniteDimensional ℝ E]
{I : ModelWithCorners ℝ E E} [I.Boundaryless]
{M : Type*} [TopologicalSpace M] [ChartedSpace E M] [SmoothManifoldWithCorners I M]`
Here, `I.Boundaryless` is a typeclass property ensuring that there is no boundary (this is for
instance the case for `modelWithCornersSelf`, or products of these). Note that one could consider
as a natural assumption to only use the trivial model with corners `modelWithCornersSelf ℝ E`,
but again in product manifolds the natural model with corners will not be this one but the product
one (and they are not defeq as `(fun p : E × F ↦ (p.1, p.2))` is not defeq to the identity).
So, it is important to use the above incantation to maximize the applicability of theorems.
## Implementation notes
We want to talk about manifolds modelled on a vector space, but also on manifolds with
boundary, modelled on a half space (or even manifolds with corners). For the latter examples,
we still want to define smooth functions, tangent bundles, and so on. As smooth functions are
well defined on vector spaces or subsets of these, one could take for model space a subtype of a
vector space. With the drawback that the whole vector space itself (which is the most basic
example) is not directly a subtype of itself: the inclusion of `univ : Set E` in `Set E` would
show up in the definition, instead of `id`.
A good abstraction covering both cases it to have a vector
space `E` (with basic example the Euclidean space), a model space `H` (with basic example the upper
half space), and an embedding of `H` into `E` (which can be the identity for `H = E`, or
`Subtype.val` for manifolds with corners). We say that the pair `(E, H)` with their embedding is a
model with corners, and we encompass all the relevant properties (in particular the fact that the
image of `H` in `E` should have unique differentials) in the definition of `ModelWithCorners`.
We concentrate on `C^∞` manifolds: all the definitions work equally well for `C^n` manifolds, but
later on it is a pain to carry all over the smoothness parameter, especially when one wants to deal
with `C^k` functions as there would be additional conditions `k ≤ n` everywhere. Since one deals
almost all the time with `C^∞` (or analytic) manifolds, this seems to be a reasonable choice that
one could revisit later if needed. `C^k` manifolds are still available, but they should be called
using `HasGroupoid M (contDiffGroupoid k I)` where `I` is the model with corners.
I have considered using the model with corners `I` as a typeclass argument, possibly `outParam`, to
get lighter notations later on, but it did not turn out right, as on `E × F` there are two natural
model with corners, the trivial (identity) one, and the product one, and they are not defeq and one
needs to indicate to Lean which one we want to use.
This means that when talking on objects on manifolds one will most often need to specify the model
with corners one is using. For instance, the tangent bundle will be `TangentBundle I M` and the
derivative will be `mfderiv I I' f`, instead of the more natural notations `TangentBundle 𝕜 M` and
`mfderiv 𝕜 f` (the field has to be explicit anyway, as some manifolds could be considered both as
real and complex manifolds).
-/
noncomputable section
universe u v w u' v' w'
open Set Filter Function
open scoped Manifold Filter Topology
/-- The extended natural number `∞` -/
scoped[Manifold] notation "∞" => (⊤ : ℕ∞)
/-! ### Models with corners. -/
/-- A structure containing informations on the way a space `H` embeds in a
model vector space `E` over the field `𝕜`. This is all what is needed to
define a smooth manifold with model space `H`, and model vector space `E`.
-/
@[ext] -- Porting note(#5171): was nolint has_nonempty_instance
structure ModelWithCorners (𝕜 : Type*) [NontriviallyNormedField 𝕜] (E : Type*)
[NormedAddCommGroup E] [NormedSpace 𝕜 E] (H : Type*) [TopologicalSpace H] extends
PartialEquiv H E where
source_eq : source = univ
unique_diff' : UniqueDiffOn 𝕜 toPartialEquiv.target
continuous_toFun : Continuous toFun := by continuity
continuous_invFun : Continuous invFun := by continuity
#align model_with_corners ModelWithCorners
attribute [simp, mfld_simps] ModelWithCorners.source_eq
/-- A vector space is a model with corners. -/
def modelWithCornersSelf (𝕜 : Type*) [NontriviallyNormedField 𝕜] (E : Type*)
[NormedAddCommGroup E] [NormedSpace 𝕜 E] : ModelWithCorners 𝕜 E E where
toPartialEquiv := PartialEquiv.refl E
source_eq := rfl
unique_diff' := uniqueDiffOn_univ
continuous_toFun := continuous_id
continuous_invFun := continuous_id
#align model_with_corners_self modelWithCornersSelf
@[inherit_doc] scoped[Manifold] notation "𝓘(" 𝕜 ", " E ")" => modelWithCornersSelf 𝕜 E
/-- A normed field is a model with corners. -/
scoped[Manifold] notation "𝓘(" 𝕜 ")" => modelWithCornersSelf 𝕜 𝕜
section
variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*} [NormedAddCommGroup E]
[NormedSpace 𝕜 E] {H : Type*} [TopologicalSpace H] (I : ModelWithCorners 𝕜 E H)
namespace ModelWithCorners
/-- Coercion of a model with corners to a function. We don't use `e.toFun` because it is actually
`e.toPartialEquiv.toFun`, so `simp` will apply lemmas about `toPartialEquiv`. While we may want to
switch to this behavior later, doing it mid-port will break a lot of proofs. -/
@[coe] def toFun' (e : ModelWithCorners 𝕜 E H) : H → E := e.toFun
instance : CoeFun (ModelWithCorners 𝕜 E H) fun _ => H → E := ⟨toFun'⟩
/-- The inverse to a model with corners, only registered as a `PartialEquiv`. -/
protected def symm : PartialEquiv E H :=
I.toPartialEquiv.symm
#align model_with_corners.symm ModelWithCorners.symm
/-- See Note [custom simps projection]. We need to specify this projection explicitly in this case,
because it is a composition of multiple projections. -/
def Simps.apply (𝕜 : Type*) [NontriviallyNormedField 𝕜] (E : Type*) [NormedAddCommGroup E]
[NormedSpace 𝕜 E] (H : Type*) [TopologicalSpace H] (I : ModelWithCorners 𝕜 E H) : H → E :=
I
#align model_with_corners.simps.apply ModelWithCorners.Simps.apply
/-- See Note [custom simps projection] -/
def Simps.symm_apply (𝕜 : Type*) [NontriviallyNormedField 𝕜] (E : Type*) [NormedAddCommGroup E]
[NormedSpace 𝕜 E] (H : Type*) [TopologicalSpace H] (I : ModelWithCorners 𝕜 E H) : E → H :=
I.symm
#align model_with_corners.simps.symm_apply ModelWithCorners.Simps.symm_apply
initialize_simps_projections ModelWithCorners (toFun → apply, invFun → symm_apply)
-- Register a few lemmas to make sure that `simp` puts expressions in normal form
@[simp, mfld_simps]
theorem toPartialEquiv_coe : (I.toPartialEquiv : H → E) = I :=
rfl
#align model_with_corners.to_local_equiv_coe ModelWithCorners.toPartialEquiv_coe
@[simp, mfld_simps]
theorem mk_coe (e : PartialEquiv H E) (a b c d) :
((ModelWithCorners.mk e a b c d : ModelWithCorners 𝕜 E H) : H → E) = (e : H → E) :=
rfl
#align model_with_corners.mk_coe ModelWithCorners.mk_coe
@[simp, mfld_simps]
theorem toPartialEquiv_coe_symm : (I.toPartialEquiv.symm : E → H) = I.symm :=
rfl
#align model_with_corners.to_local_equiv_coe_symm ModelWithCorners.toPartialEquiv_coe_symm
@[simp, mfld_simps]
theorem mk_symm (e : PartialEquiv H E) (a b c d) :
(ModelWithCorners.mk e a b c d : ModelWithCorners 𝕜 E H).symm = e.symm :=
rfl
#align model_with_corners.mk_symm ModelWithCorners.mk_symm
@[continuity]
protected theorem continuous : Continuous I :=
I.continuous_toFun
#align model_with_corners.continuous ModelWithCorners.continuous
protected theorem continuousAt {x} : ContinuousAt I x :=
I.continuous.continuousAt
#align model_with_corners.continuous_at ModelWithCorners.continuousAt
protected theorem continuousWithinAt {s x} : ContinuousWithinAt I s x :=
I.continuousAt.continuousWithinAt
#align model_with_corners.continuous_within_at ModelWithCorners.continuousWithinAt
@[continuity]
theorem continuous_symm : Continuous I.symm :=
I.continuous_invFun
#align model_with_corners.continuous_symm ModelWithCorners.continuous_symm
theorem continuousAt_symm {x} : ContinuousAt I.symm x :=
I.continuous_symm.continuousAt
#align model_with_corners.continuous_at_symm ModelWithCorners.continuousAt_symm
theorem continuousWithinAt_symm {s x} : ContinuousWithinAt I.symm s x :=
I.continuous_symm.continuousWithinAt
#align model_with_corners.continuous_within_at_symm ModelWithCorners.continuousWithinAt_symm
theorem continuousOn_symm {s} : ContinuousOn I.symm s :=
I.continuous_symm.continuousOn
#align model_with_corners.continuous_on_symm ModelWithCorners.continuousOn_symm
@[simp, mfld_simps]
theorem target_eq : I.target = range (I : H → E) := by
rw [← image_univ, ← I.source_eq]
exact I.image_source_eq_target.symm
#align model_with_corners.target_eq ModelWithCorners.target_eq
protected theorem unique_diff : UniqueDiffOn 𝕜 (range I) :=
I.target_eq ▸ I.unique_diff'
#align model_with_corners.unique_diff ModelWithCorners.unique_diff
@[simp, mfld_simps]
protected theorem left_inv (x : H) : I.symm (I x) = x := by refine I.left_inv' ?_; simp
#align model_with_corners.left_inv ModelWithCorners.left_inv
protected theorem leftInverse : LeftInverse I.symm I :=
I.left_inv
#align model_with_corners.left_inverse ModelWithCorners.leftInverse
theorem injective : Injective I :=
I.leftInverse.injective
#align model_with_corners.injective ModelWithCorners.injective
@[simp, mfld_simps]
theorem symm_comp_self : I.symm ∘ I = id :=
I.leftInverse.comp_eq_id
#align model_with_corners.symm_comp_self ModelWithCorners.symm_comp_self
protected theorem rightInvOn : RightInvOn I.symm I (range I) :=
I.leftInverse.rightInvOn_range
#align model_with_corners.right_inv_on ModelWithCorners.rightInvOn
@[simp, mfld_simps]
protected theorem right_inv {x : E} (hx : x ∈ range I) : I (I.symm x) = x :=
I.rightInvOn hx
#align model_with_corners.right_inv ModelWithCorners.right_inv
theorem preimage_image (s : Set H) : I ⁻¹' (I '' s) = s :=
I.injective.preimage_image s
#align model_with_corners.preimage_image ModelWithCorners.preimage_image
protected theorem image_eq (s : Set H) : I '' s = I.symm ⁻¹' s ∩ range I := by
refine (I.toPartialEquiv.image_eq_target_inter_inv_preimage ?_).trans ?_
· rw [I.source_eq]; exact subset_univ _
· rw [inter_comm, I.target_eq, I.toPartialEquiv_coe_symm]
#align model_with_corners.image_eq ModelWithCorners.image_eq
protected theorem closedEmbedding : ClosedEmbedding I :=
I.leftInverse.closedEmbedding I.continuous_symm I.continuous
#align model_with_corners.closed_embedding ModelWithCorners.closedEmbedding
theorem isClosed_range : IsClosed (range I) :=
I.closedEmbedding.isClosed_range
#align model_with_corners.closed_range ModelWithCorners.isClosed_range
@[deprecated (since := "2024-03-17")] alias closed_range := isClosed_range
theorem map_nhds_eq (x : H) : map I (𝓝 x) = 𝓝[range I] I x :=
I.closedEmbedding.toEmbedding.map_nhds_eq x
#align model_with_corners.map_nhds_eq ModelWithCorners.map_nhds_eq
theorem map_nhdsWithin_eq (s : Set H) (x : H) : map I (𝓝[s] x) = 𝓝[I '' s] I x :=
I.closedEmbedding.toEmbedding.map_nhdsWithin_eq s x
#align model_with_corners.map_nhds_within_eq ModelWithCorners.map_nhdsWithin_eq
theorem image_mem_nhdsWithin {x : H} {s : Set H} (hs : s ∈ 𝓝 x) : I '' s ∈ 𝓝[range I] I x :=
I.map_nhds_eq x ▸ image_mem_map hs
#align model_with_corners.image_mem_nhds_within ModelWithCorners.image_mem_nhdsWithin
theorem symm_map_nhdsWithin_image {x : H} {s : Set H} : map I.symm (𝓝[I '' s] I x) = 𝓝[s] x := by
rw [← I.map_nhdsWithin_eq, map_map, I.symm_comp_self, map_id]
#align model_with_corners.symm_map_nhds_within_image ModelWithCorners.symm_map_nhdsWithin_image
theorem symm_map_nhdsWithin_range (x : H) : map I.symm (𝓝[range I] I x) = 𝓝 x := by
rw [← I.map_nhds_eq, map_map, I.symm_comp_self, map_id]
#align model_with_corners.symm_map_nhds_within_range ModelWithCorners.symm_map_nhdsWithin_range
theorem unique_diff_preimage {s : Set H} (hs : IsOpen s) :
UniqueDiffOn 𝕜 (I.symm ⁻¹' s ∩ range I) := by
rw [inter_comm]
exact I.unique_diff.inter (hs.preimage I.continuous_invFun)
#align model_with_corners.unique_diff_preimage ModelWithCorners.unique_diff_preimage
theorem unique_diff_preimage_source {β : Type*} [TopologicalSpace β] {e : PartialHomeomorph H β} :
UniqueDiffOn 𝕜 (I.symm ⁻¹' e.source ∩ range I) :=
I.unique_diff_preimage e.open_source
#align model_with_corners.unique_diff_preimage_source ModelWithCorners.unique_diff_preimage_source
theorem unique_diff_at_image {x : H} : UniqueDiffWithinAt 𝕜 (range I) (I x) :=
I.unique_diff _ (mem_range_self _)
#align model_with_corners.unique_diff_at_image ModelWithCorners.unique_diff_at_image
theorem symm_continuousWithinAt_comp_right_iff {X} [TopologicalSpace X] {f : H → X} {s : Set H}
{x : H} :
ContinuousWithinAt (f ∘ I.symm) (I.symm ⁻¹' s ∩ range I) (I x) ↔ ContinuousWithinAt f s x := by
refine ⟨fun h => ?_, fun h => ?_⟩
· have := h.comp I.continuousWithinAt (mapsTo_preimage _ _)
simp_rw [preimage_inter, preimage_preimage, I.left_inv, preimage_id', preimage_range,
inter_univ] at this
rwa [Function.comp.assoc, I.symm_comp_self] at this
· rw [← I.left_inv x] at h; exact h.comp I.continuousWithinAt_symm inter_subset_left
#align model_with_corners.symm_continuous_within_at_comp_right_iff ModelWithCorners.symm_continuousWithinAt_comp_right_iff
protected theorem locallyCompactSpace [LocallyCompactSpace E] (I : ModelWithCorners 𝕜 E H) :
LocallyCompactSpace H := by
have : ∀ x : H, (𝓝 x).HasBasis (fun s => s ∈ 𝓝 (I x) ∧ IsCompact s)
fun s => I.symm '' (s ∩ range I) := fun x ↦ by
rw [← I.symm_map_nhdsWithin_range]
exact ((compact_basis_nhds (I x)).inf_principal _).map _
refine .of_hasBasis this ?_
rintro x s ⟨-, hsc⟩
exact (hsc.inter_right I.isClosed_range).image I.continuous_symm
#align model_with_corners.locally_compact ModelWithCorners.locallyCompactSpace
open TopologicalSpace
protected theorem secondCountableTopology [SecondCountableTopology E] (I : ModelWithCorners 𝕜 E H) :
SecondCountableTopology H :=
I.closedEmbedding.toEmbedding.secondCountableTopology
#align model_with_corners.second_countable_topology ModelWithCorners.secondCountableTopology
end ModelWithCorners
section
variable (𝕜 E)
/-- In the trivial model with corners, the associated `PartialEquiv` is the identity. -/
@[simp, mfld_simps]
theorem modelWithCornersSelf_partialEquiv : 𝓘(𝕜, E).toPartialEquiv = PartialEquiv.refl E :=
rfl
#align model_with_corners_self_local_equiv modelWithCornersSelf_partialEquiv
@[simp, mfld_simps]
theorem modelWithCornersSelf_coe : (𝓘(𝕜, E) : E → E) = id :=
rfl
#align model_with_corners_self_coe modelWithCornersSelf_coe
@[simp, mfld_simps]
theorem modelWithCornersSelf_coe_symm : (𝓘(𝕜, E).symm : E → E) = id :=
rfl
#align model_with_corners_self_coe_symm modelWithCornersSelf_coe_symm
end
end
section ModelWithCornersProd
/-- Given two model_with_corners `I` on `(E, H)` and `I'` on `(E', H')`, we define the model with
corners `I.prod I'` on `(E × E', ModelProd H H')`. This appears in particular for the manifold
structure on the tangent bundle to a manifold modelled on `(E, H)`: it will be modelled on
`(E × E, H × E)`. See note [Manifold type tags] for explanation about `ModelProd H H'`
vs `H × H'`. -/
@[simps (config := .lemmasOnly)]
def ModelWithCorners.prod {𝕜 : Type u} [NontriviallyNormedField 𝕜] {E : Type v}
[NormedAddCommGroup E] [NormedSpace 𝕜 E] {H : Type w} [TopologicalSpace H]
(I : ModelWithCorners 𝕜 E H) {E' : Type v'} [NormedAddCommGroup E'] [NormedSpace 𝕜 E']
{H' : Type w'} [TopologicalSpace H'] (I' : ModelWithCorners 𝕜 E' H') :
ModelWithCorners 𝕜 (E × E') (ModelProd H H') :=
{ I.toPartialEquiv.prod I'.toPartialEquiv with
toFun := fun x => (I x.1, I' x.2)
invFun := fun x => (I.symm x.1, I'.symm x.2)
source := { x | x.1 ∈ I.source ∧ x.2 ∈ I'.source }
source_eq := by simp only [setOf_true, mfld_simps]
unique_diff' := I.unique_diff'.prod I'.unique_diff'
continuous_toFun := I.continuous_toFun.prod_map I'.continuous_toFun
continuous_invFun := I.continuous_invFun.prod_map I'.continuous_invFun }
#align model_with_corners.prod ModelWithCorners.prod
/-- Given a finite family of `ModelWithCorners` `I i` on `(E i, H i)`, we define the model with
corners `pi I` on `(Π i, E i, ModelPi H)`. See note [Manifold type tags] for explanation about
`ModelPi H`. -/
def ModelWithCorners.pi {𝕜 : Type u} [NontriviallyNormedField 𝕜] {ι : Type v} [Fintype ι]
{E : ι → Type w} [∀ i, NormedAddCommGroup (E i)] [∀ i, NormedSpace 𝕜 (E i)] {H : ι → Type u'}
[∀ i, TopologicalSpace (H i)] (I : ∀ i, ModelWithCorners 𝕜 (E i) (H i)) :
ModelWithCorners 𝕜 (∀ i, E i) (ModelPi H) where
toPartialEquiv := PartialEquiv.pi fun i => (I i).toPartialEquiv
source_eq := by simp only [pi_univ, mfld_simps]
unique_diff' := UniqueDiffOn.pi ι E _ _ fun i _ => (I i).unique_diff'
continuous_toFun := continuous_pi fun i => (I i).continuous.comp (continuous_apply i)
continuous_invFun := continuous_pi fun i => (I i).continuous_symm.comp (continuous_apply i)
#align model_with_corners.pi ModelWithCorners.pi
/-- Special case of product model with corners, which is trivial on the second factor. This shows up
as the model to tangent bundles. -/
abbrev ModelWithCorners.tangent {𝕜 : Type u} [NontriviallyNormedField 𝕜] {E : Type v}
[NormedAddCommGroup E] [NormedSpace 𝕜 E] {H : Type w} [TopologicalSpace H]
(I : ModelWithCorners 𝕜 E H) : ModelWithCorners 𝕜 (E × E) (ModelProd H E) :=
I.prod 𝓘(𝕜, E)
#align model_with_corners.tangent ModelWithCorners.tangent
variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*} [NormedAddCommGroup E]
[NormedSpace 𝕜 E] {E' : Type*} [NormedAddCommGroup E'] [NormedSpace 𝕜 E'] {F : Type*}
[NormedAddCommGroup F] [NormedSpace 𝕜 F] {F' : Type*} [NormedAddCommGroup F'] [NormedSpace 𝕜 F']
{H : Type*} [TopologicalSpace H] {H' : Type*} [TopologicalSpace H'] {G : Type*}
[TopologicalSpace G] {G' : Type*} [TopologicalSpace G'] {I : ModelWithCorners 𝕜 E H}
{J : ModelWithCorners 𝕜 F G}
@[simp, mfld_simps]
theorem modelWithCorners_prod_toPartialEquiv :
(I.prod J).toPartialEquiv = I.toPartialEquiv.prod J.toPartialEquiv :=
rfl
#align model_with_corners_prod_to_local_equiv modelWithCorners_prod_toPartialEquiv
@[simp, mfld_simps]
theorem modelWithCorners_prod_coe (I : ModelWithCorners 𝕜 E H) (I' : ModelWithCorners 𝕜 E' H') :
(I.prod I' : _ × _ → _ × _) = Prod.map I I' :=
rfl
#align model_with_corners_prod_coe modelWithCorners_prod_coe
@[simp, mfld_simps]
theorem modelWithCorners_prod_coe_symm (I : ModelWithCorners 𝕜 E H)
(I' : ModelWithCorners 𝕜 E' H') :
((I.prod I').symm : _ × _ → _ × _) = Prod.map I.symm I'.symm :=
rfl
#align model_with_corners_prod_coe_symm modelWithCorners_prod_coe_symm
theorem modelWithCornersSelf_prod : 𝓘(𝕜, E × F) = 𝓘(𝕜, E).prod 𝓘(𝕜, F) := by ext1 <;> simp
#align model_with_corners_self_prod modelWithCornersSelf_prod
theorem ModelWithCorners.range_prod : range (I.prod J) = range I ×ˢ range J := by
simp_rw [← ModelWithCorners.target_eq]; rfl
#align model_with_corners.range_prod ModelWithCorners.range_prod
end ModelWithCornersProd
section Boundaryless
/-- Property ensuring that the model with corners `I` defines manifolds without boundary. This
differs from the more general `BoundarylessManifold`, which requires every point on the manifold
to be an interior point. -/
class ModelWithCorners.Boundaryless {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*}
[NormedAddCommGroup E] [NormedSpace 𝕜 E] {H : Type*} [TopologicalSpace H]
(I : ModelWithCorners 𝕜 E H) : Prop where
range_eq_univ : range I = univ
#align model_with_corners.boundaryless ModelWithCorners.Boundaryless
theorem ModelWithCorners.range_eq_univ {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*}
[NormedAddCommGroup E] [NormedSpace 𝕜 E] {H : Type*} [TopologicalSpace H]
(I : ModelWithCorners 𝕜 E H) [I.Boundaryless] :
range I = univ := ModelWithCorners.Boundaryless.range_eq_univ
/-- If `I` is a `ModelWithCorners.Boundaryless` model, then it is a homeomorphism. -/
@[simps (config := {simpRhs := true})]
def ModelWithCorners.toHomeomorph {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*}
[NormedAddCommGroup E] [NormedSpace 𝕜 E] {H : Type*} [TopologicalSpace H]
(I : ModelWithCorners 𝕜 E H) [I.Boundaryless] : H ≃ₜ E where
__ := I
left_inv := I.left_inv
right_inv _ := I.right_inv <| I.range_eq_univ.symm ▸ mem_univ _
/-- The trivial model with corners has no boundary -/
instance modelWithCornersSelf_boundaryless (𝕜 : Type*) [NontriviallyNormedField 𝕜] (E : Type*)
[NormedAddCommGroup E] [NormedSpace 𝕜 E] : (modelWithCornersSelf 𝕜 E).Boundaryless :=
⟨by simp⟩
#align model_with_corners_self_boundaryless modelWithCornersSelf_boundaryless
/-- If two model with corners are boundaryless, their product also is -/
instance ModelWithCorners.range_eq_univ_prod {𝕜 : Type u} [NontriviallyNormedField 𝕜] {E : Type v}
[NormedAddCommGroup E] [NormedSpace 𝕜 E] {H : Type w} [TopologicalSpace H]
(I : ModelWithCorners 𝕜 E H) [I.Boundaryless] {E' : Type v'} [NormedAddCommGroup E']
[NormedSpace 𝕜 E'] {H' : Type w'} [TopologicalSpace H'] (I' : ModelWithCorners 𝕜 E' H')
[I'.Boundaryless] : (I.prod I').Boundaryless := by
constructor
dsimp [ModelWithCorners.prod, ModelProd]
rw [← prod_range_range_eq, ModelWithCorners.Boundaryless.range_eq_univ,
ModelWithCorners.Boundaryless.range_eq_univ, univ_prod_univ]
#align model_with_corners.range_eq_univ_prod ModelWithCorners.range_eq_univ_prod
end Boundaryless
section contDiffGroupoid
/-! ### Smooth functions on models with corners -/
variable {m n : ℕ∞} {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*} [NormedAddCommGroup E]
[NormedSpace 𝕜 E] {H : Type*} [TopologicalSpace H] (I : ModelWithCorners 𝕜 E H) {M : Type*}
[TopologicalSpace M]
variable (n)
/-- Given a model with corners `(E, H)`, we define the pregroupoid of `C^n` transformations of `H`
as the maps that are `C^n` when read in `E` through `I`. -/
def contDiffPregroupoid : Pregroupoid H where
property f s := ContDiffOn 𝕜 n (I ∘ f ∘ I.symm) (I.symm ⁻¹' s ∩ range I)
comp {f g u v} hf hg _ _ _ := by
have : I ∘ (g ∘ f) ∘ I.symm = (I ∘ g ∘ I.symm) ∘ I ∘ f ∘ I.symm := by ext x; simp
simp only [this]
refine hg.comp (hf.mono fun x ⟨hx1, hx2⟩ ↦ ⟨hx1.1, hx2⟩) ?_
rintro x ⟨hx1, _⟩
simp only [mfld_simps] at hx1 ⊢
exact hx1.2
id_mem := by
apply ContDiffOn.congr contDiff_id.contDiffOn
rintro x ⟨_, hx2⟩
rcases mem_range.1 hx2 with ⟨y, hy⟩
rw [← hy]
simp only [mfld_simps]
locality {f u} _ H := by
apply contDiffOn_of_locally_contDiffOn
rintro y ⟨hy1, hy2⟩
rcases mem_range.1 hy2 with ⟨x, hx⟩
rw [← hx] at hy1 ⊢
simp only [mfld_simps] at hy1 ⊢
rcases H x hy1 with ⟨v, v_open, xv, hv⟩
have : I.symm ⁻¹' (u ∩ v) ∩ range I = I.symm ⁻¹' u ∩ range I ∩ I.symm ⁻¹' v := by
rw [preimage_inter, inter_assoc, inter_assoc]
congr 1
rw [inter_comm]
rw [this] at hv
exact ⟨I.symm ⁻¹' v, v_open.preimage I.continuous_symm, by simpa, hv⟩
congr {f g u} _ fg hf := by
apply hf.congr
rintro y ⟨hy1, hy2⟩
rcases mem_range.1 hy2 with ⟨x, hx⟩
rw [← hx] at hy1 ⊢
simp only [mfld_simps] at hy1 ⊢
rw [fg _ hy1]
/-- Given a model with corners `(E, H)`, we define the groupoid of invertible `C^n` transformations
of `H` as the invertible maps that are `C^n` when read in `E` through `I`. -/
def contDiffGroupoid : StructureGroupoid H :=
Pregroupoid.groupoid (contDiffPregroupoid n I)
#align cont_diff_groupoid contDiffGroupoid
variable {n}
/-- Inclusion of the groupoid of `C^n` local diffeos in the groupoid of `C^m` local diffeos when
`m ≤ n` -/
theorem contDiffGroupoid_le (h : m ≤ n) : contDiffGroupoid n I ≤ contDiffGroupoid m I := by
rw [contDiffGroupoid, contDiffGroupoid]
apply groupoid_of_pregroupoid_le
intro f s hfs
exact ContDiffOn.of_le hfs h
#align cont_diff_groupoid_le contDiffGroupoid_le
/-- The groupoid of `0`-times continuously differentiable maps is just the groupoid of all
partial homeomorphisms -/
theorem contDiffGroupoid_zero_eq : contDiffGroupoid 0 I = continuousGroupoid H := by
apply le_antisymm le_top
intro u _
-- we have to check that every partial homeomorphism belongs to `contDiffGroupoid 0 I`,
-- by unfolding its definition
change u ∈ contDiffGroupoid 0 I
rw [contDiffGroupoid, mem_groupoid_of_pregroupoid, contDiffPregroupoid]
simp only [contDiffOn_zero]
constructor
· refine I.continuous.comp_continuousOn (u.continuousOn.comp I.continuousOn_symm ?_)
exact (mapsTo_preimage _ _).mono_left inter_subset_left
· refine I.continuous.comp_continuousOn (u.symm.continuousOn.comp I.continuousOn_symm ?_)
exact (mapsTo_preimage _ _).mono_left inter_subset_left
#align cont_diff_groupoid_zero_eq contDiffGroupoid_zero_eq
variable (n)
/-- An identity partial homeomorphism belongs to the `C^n` groupoid. -/
theorem ofSet_mem_contDiffGroupoid {s : Set H} (hs : IsOpen s) :
PartialHomeomorph.ofSet s hs ∈ contDiffGroupoid n I := by
rw [contDiffGroupoid, mem_groupoid_of_pregroupoid]
suffices h : ContDiffOn 𝕜 n (I ∘ I.symm) (I.symm ⁻¹' s ∩ range I) by
simp [h, contDiffPregroupoid]
have : ContDiffOn 𝕜 n id (univ : Set E) := contDiff_id.contDiffOn
exact this.congr_mono (fun x hx => I.right_inv hx.2) (subset_univ _)
#align of_set_mem_cont_diff_groupoid ofSet_mem_contDiffGroupoid
/-- The composition of a partial homeomorphism from `H` to `M` and its inverse belongs to
the `C^n` groupoid. -/
theorem symm_trans_mem_contDiffGroupoid (e : PartialHomeomorph M H) :
e.symm.trans e ∈ contDiffGroupoid n I :=
haveI : e.symm.trans e ≈ PartialHomeomorph.ofSet e.target e.open_target :=
PartialHomeomorph.symm_trans_self _
StructureGroupoid.mem_of_eqOnSource _ (ofSet_mem_contDiffGroupoid n I e.open_target) this
#align symm_trans_mem_cont_diff_groupoid symm_trans_mem_contDiffGroupoid
variable {E' H' : Type*} [NormedAddCommGroup E'] [NormedSpace 𝕜 E'] [TopologicalSpace H']
/-- The product of two smooth partial homeomorphisms is smooth. -/
theorem contDiffGroupoid_prod {I : ModelWithCorners 𝕜 E H} {I' : ModelWithCorners 𝕜 E' H'}
{e : PartialHomeomorph H H} {e' : PartialHomeomorph H' H'} (he : e ∈ contDiffGroupoid ⊤ I)
(he' : e' ∈ contDiffGroupoid ⊤ I') : e.prod e' ∈ contDiffGroupoid ⊤ (I.prod I') := by
cases' he with he he_symm
cases' he' with he' he'_symm
simp only at he he_symm he' he'_symm
constructor <;> simp only [PartialEquiv.prod_source, PartialHomeomorph.prod_toPartialEquiv,
contDiffPregroupoid]
· have h3 := ContDiffOn.prod_map he he'
rw [← I.image_eq, ← I'.image_eq, prod_image_image_eq] at h3
rw [← (I.prod I').image_eq]
exact h3
· have h3 := ContDiffOn.prod_map he_symm he'_symm
rw [← I.image_eq, ← I'.image_eq, prod_image_image_eq] at h3
rw [← (I.prod I').image_eq]
exact h3
#align cont_diff_groupoid_prod contDiffGroupoid_prod
/-- The `C^n` groupoid is closed under restriction. -/
instance : ClosedUnderRestriction (contDiffGroupoid n I) :=
(closedUnderRestriction_iff_id_le _).mpr
(by
rw [StructureGroupoid.le_iff]
rintro e ⟨s, hs, hes⟩
apply (contDiffGroupoid n I).mem_of_eqOnSource' _ _ _ hes
exact ofSet_mem_contDiffGroupoid n I hs)
end contDiffGroupoid
section analyticGroupoid
variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*} [NormedAddCommGroup E]
[NormedSpace 𝕜 E] {H : Type*} [TopologicalSpace H] (I : ModelWithCorners 𝕜 E H) {M : Type*}
[TopologicalSpace M]
/-- Given a model with corners `(E, H)`, we define the groupoid of analytic transformations of `H`
as the maps that are analytic and map interior to interior when read in `E` through `I`. We also
explicitly define that they are `C^∞` on the whole domain, since we are only requiring
analyticity on the interior of the domain. -/
def analyticGroupoid : StructureGroupoid H :=
(contDiffGroupoid ∞ I) ⊓ Pregroupoid.groupoid
{ property := fun f s => AnalyticOn 𝕜 (I ∘ f ∘ I.symm) (I.symm ⁻¹' s ∩ interior (range I)) ∧
(I.symm ⁻¹' s ∩ interior (range I)).image (I ∘ f ∘ I.symm) ⊆ interior (range I)
comp := fun {f g u v} hf hg _ _ _ => by
simp only [] at hf hg ⊢
have comp : I ∘ (g ∘ f) ∘ I.symm = (I ∘ g ∘ I.symm) ∘ I ∘ f ∘ I.symm := by ext x; simp
apply And.intro
· simp only [comp, preimage_inter]
refine hg.left.comp (hf.left.mono ?_) ?_
· simp only [subset_inter_iff, inter_subset_right]
rw [inter_assoc]
simp
· intro x hx
apply And.intro
· rw [mem_preimage, comp_apply, I.left_inv]
exact hx.left.right
· apply hf.right
rw [mem_image]
exact ⟨x, ⟨⟨hx.left.left, hx.right⟩, rfl⟩⟩
· simp only [comp]
rw [image_comp]
intro x hx
rw [mem_image] at hx
rcases hx with ⟨x', hx'⟩
refine hg.right ⟨x', And.intro ?_ hx'.right⟩
apply And.intro
· have hx'1 : x' ∈ ((v.preimage f).preimage (I.symm)).image (I ∘ f ∘ I.symm) := by
refine image_subset (I ∘ f ∘ I.symm) ?_ hx'.left
rw [preimage_inter]
refine Subset.trans ?_ (u.preimage I.symm).inter_subset_right
apply inter_subset_left
rcases hx'1 with ⟨x'', hx''⟩
rw [hx''.right.symm]
simp only [comp_apply, mem_preimage, I.left_inv]
exact hx''.left
· rw [mem_image] at hx'
rcases hx'.left with ⟨x'', hx''⟩
exact hf.right ⟨x'', ⟨⟨hx''.left.left.left, hx''.left.right⟩, hx''.right⟩⟩
id_mem := by
apply And.intro
· simp only [preimage_univ, univ_inter]
exact AnalyticOn.congr isOpen_interior
(f := (1 : E →L[𝕜] E)) (fun x _ => (1 : E →L[𝕜] E).analyticAt x)
(fun z hz => (I.right_inv (interior_subset hz)).symm)
· intro x hx
simp only [id_comp, comp_apply, preimage_univ, univ_inter, mem_image] at hx
rcases hx with ⟨y, hy⟩
rw [← hy.right, I.right_inv (interior_subset hy.left)]
exact hy.left
locality := fun {f u} _ h => by
simp only [] at h
simp only [AnalyticOn]
apply And.intro
· intro x hx
rcases h (I.symm x) (mem_preimage.mp hx.left) with ⟨v, hv⟩
exact hv.right.right.left x ⟨mem_preimage.mpr ⟨hx.left, hv.right.left⟩, hx.right⟩
· apply mapsTo'.mp
simp only [MapsTo]
intro x hx
rcases h (I.symm x) hx.left with ⟨v, hv⟩
apply hv.right.right.right
rw [mem_image]
have hx' := And.intro hx (mem_preimage.mpr hv.right.left)
rw [← mem_inter_iff, inter_comm, ← inter_assoc, ← preimage_inter, inter_comm v u] at hx'
exact ⟨x, ⟨hx', rfl⟩⟩
congr := fun {f g u} hu fg hf => by
simp only [] at hf ⊢
apply And.intro
· refine AnalyticOn.congr (IsOpen.inter (hu.preimage I.continuous_symm) isOpen_interior)
hf.left ?_
intro z hz
simp only [comp_apply]
rw [fg (I.symm z) hz.left]
· intro x hx
apply hf.right
rw [mem_image] at hx ⊢
rcases hx with ⟨y, hy⟩
refine ⟨y, ⟨hy.left, ?_⟩⟩
rw [comp_apply, comp_apply, fg (I.symm y) hy.left.left] at hy
exact hy.right }
/-- An identity partial homeomorphism belongs to the analytic groupoid. -/
theorem ofSet_mem_analyticGroupoid {s : Set H} (hs : IsOpen s) :
PartialHomeomorph.ofSet s hs ∈ analyticGroupoid I := by
rw [analyticGroupoid]
refine And.intro (ofSet_mem_contDiffGroupoid ∞ I hs) ?_
apply mem_groupoid_of_pregroupoid.mpr
suffices h : AnalyticOn 𝕜 (I ∘ I.symm) (I.symm ⁻¹' s ∩ interior (range I)) ∧
(I.symm ⁻¹' s ∩ interior (range I)).image (I ∘ I.symm) ⊆ interior (range I) by
simp only [PartialHomeomorph.ofSet_apply, id_comp, PartialHomeomorph.ofSet_toPartialEquiv,
PartialEquiv.ofSet_source, h, comp_apply, mem_range, image_subset_iff, true_and,
PartialHomeomorph.ofSet_symm, PartialEquiv.ofSet_target, and_self]
intro x hx
refine mem_preimage.mpr ?_
rw [← I.right_inv (interior_subset hx.right)] at hx
exact hx.right
apply And.intro
· have : AnalyticOn 𝕜 (1 : E →L[𝕜] E) (univ : Set E) := (fun x _ => (1 : E →L[𝕜] E).analyticAt x)
exact (this.mono (subset_univ (s.preimage (I.symm) ∩ interior (range I)))).congr
((hs.preimage I.continuous_symm).inter isOpen_interior)
fun z hz => (I.right_inv (interior_subset hz.right)).symm
· intro x hx
simp only [comp_apply, mem_image] at hx
rcases hx with ⟨y, hy⟩
rw [← hy.right, I.right_inv (interior_subset hy.left.right)]
exact hy.left.right
/-- The composition of a partial homeomorphism from `H` to `M` and its inverse belongs to
the analytic groupoid. -/
theorem symm_trans_mem_analyticGroupoid (e : PartialHomeomorph M H) :
e.symm.trans e ∈ analyticGroupoid I :=
haveI : e.symm.trans e ≈ PartialHomeomorph.ofSet e.target e.open_target :=
PartialHomeomorph.symm_trans_self _
StructureGroupoid.mem_of_eqOnSource _ (ofSet_mem_analyticGroupoid I e.open_target) this
/-- The analytic groupoid is closed under restriction. -/
instance : ClosedUnderRestriction (analyticGroupoid I) :=
(closedUnderRestriction_iff_id_le _).mpr
(by
rw [StructureGroupoid.le_iff]
rintro e ⟨s, hs, hes⟩
apply (analyticGroupoid I).mem_of_eqOnSource' _ _ _ hes
exact ofSet_mem_analyticGroupoid I hs)
/-- The analytic groupoid on a boundaryless charted space modeled on a complete vector space
consists of the partial homeomorphisms which are analytic and have analytic inverse. -/
theorem mem_analyticGroupoid_of_boundaryless [CompleteSpace E] [I.Boundaryless]
(e : PartialHomeomorph H H) :
e ∈ analyticGroupoid I ↔ AnalyticOn 𝕜 (I ∘ e ∘ I.symm) (I '' e.source) ∧
AnalyticOn 𝕜 (I ∘ e.symm ∘ I.symm) (I '' e.target) := by
apply Iff.intro
· intro he
have := mem_groupoid_of_pregroupoid.mp he.right
simp only [I.image_eq, I.range_eq_univ, interior_univ, subset_univ, and_true] at this ⊢
exact this
· intro he
apply And.intro
all_goals apply mem_groupoid_of_pregroupoid.mpr; simp only [I.image_eq, I.range_eq_univ,
interior_univ, subset_univ, and_true, contDiffPregroupoid] at he ⊢
· exact ⟨he.left.contDiffOn, he.right.contDiffOn⟩
· exact he
end analyticGroupoid
section SmoothManifoldWithCorners
/-! ### Smooth manifolds with corners -/
/-- Typeclass defining smooth manifolds with corners with respect to a model with corners, over a
field `𝕜` and with infinite smoothness to simplify typeclass search and statements later on. -/
class SmoothManifoldWithCorners {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*}
[NormedAddCommGroup E] [NormedSpace 𝕜 E] {H : Type*} [TopologicalSpace H]
(I : ModelWithCorners 𝕜 E H) (M : Type*) [TopologicalSpace M] [ChartedSpace H M] extends
HasGroupoid M (contDiffGroupoid ∞ I) : Prop
#align smooth_manifold_with_corners SmoothManifoldWithCorners
theorem SmoothManifoldWithCorners.mk' {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*}
[NormedAddCommGroup E] [NormedSpace 𝕜 E] {H : Type*} [TopologicalSpace H]
(I : ModelWithCorners 𝕜 E H) (M : Type*) [TopologicalSpace M] [ChartedSpace H M]
[gr : HasGroupoid M (contDiffGroupoid ∞ I)] : SmoothManifoldWithCorners I M :=
{ gr with }
#align smooth_manifold_with_corners.mk' SmoothManifoldWithCorners.mk'
theorem smoothManifoldWithCorners_of_contDiffOn {𝕜 : Type*} [NontriviallyNormedField 𝕜]
{E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {H : Type*} [TopologicalSpace H]
(I : ModelWithCorners 𝕜 E H) (M : Type*) [TopologicalSpace M] [ChartedSpace H M]
(h : ∀ e e' : PartialHomeomorph M H, e ∈ atlas H M → e' ∈ atlas H M →
ContDiffOn 𝕜 ⊤ (I ∘ e.symm ≫ₕ e' ∘ I.symm) (I.symm ⁻¹' (e.symm ≫ₕ e').source ∩ range I)) :
SmoothManifoldWithCorners I M where
compatible := by
haveI : HasGroupoid M (contDiffGroupoid ∞ I) := hasGroupoid_of_pregroupoid _ (h _ _)
apply StructureGroupoid.compatible
#align smooth_manifold_with_corners_of_cont_diff_on smoothManifoldWithCorners_of_contDiffOn
/-- For any model with corners, the model space is a smooth manifold -/
instance model_space_smooth {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*}
[NormedAddCommGroup E] [NormedSpace 𝕜 E] {H : Type*} [TopologicalSpace H]
{I : ModelWithCorners 𝕜 E H} : SmoothManifoldWithCorners I H :=
{ hasGroupoid_model_space _ _ with }
#align model_space_smooth model_space_smooth
end SmoothManifoldWithCorners
namespace SmoothManifoldWithCorners
/- We restate in the namespace `SmoothManifoldWithCorners` some lemmas that hold for general
charted space with a structure groupoid, avoiding the need to specify the groupoid
`contDiffGroupoid ∞ I` explicitly. -/
variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*} [NormedAddCommGroup E]
[NormedSpace 𝕜 E] {H : Type*} [TopologicalSpace H] (I : ModelWithCorners 𝕜 E H) (M : Type*)
[TopologicalSpace M] [ChartedSpace H M]
/-- The maximal atlas of `M` for the smooth manifold with corners structure corresponding to the
model with corners `I`. -/
def maximalAtlas :=
(contDiffGroupoid ∞ I).maximalAtlas M
#align smooth_manifold_with_corners.maximal_atlas SmoothManifoldWithCorners.maximalAtlas
variable {M}
theorem subset_maximalAtlas [SmoothManifoldWithCorners I M] : atlas H M ⊆ maximalAtlas I M :=
StructureGroupoid.subset_maximalAtlas _
#align smooth_manifold_with_corners.subset_maximal_atlas SmoothManifoldWithCorners.subset_maximalAtlas
theorem chart_mem_maximalAtlas [SmoothManifoldWithCorners I M] (x : M) :
chartAt H x ∈ maximalAtlas I M :=
StructureGroupoid.chart_mem_maximalAtlas _ x
#align smooth_manifold_with_corners.chart_mem_maximal_atlas SmoothManifoldWithCorners.chart_mem_maximalAtlas
variable {I}
theorem compatible_of_mem_maximalAtlas {e e' : PartialHomeomorph M H} (he : e ∈ maximalAtlas I M)
(he' : e' ∈ maximalAtlas I M) : e.symm.trans e' ∈ contDiffGroupoid ∞ I :=
StructureGroupoid.compatible_of_mem_maximalAtlas he he'
#align smooth_manifold_with_corners.compatible_of_mem_maximal_atlas SmoothManifoldWithCorners.compatible_of_mem_maximalAtlas
/-- The product of two smooth manifolds with corners is naturally a smooth manifold with corners. -/
instance prod {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*} [NormedAddCommGroup E]
[NormedSpace 𝕜 E] {E' : Type*} [NormedAddCommGroup E'] [NormedSpace 𝕜 E'] {H : Type*}
[TopologicalSpace H] {I : ModelWithCorners 𝕜 E H} {H' : Type*} [TopologicalSpace H']
{I' : ModelWithCorners 𝕜 E' H'} (M : Type*) [TopologicalSpace M] [ChartedSpace H M]
[SmoothManifoldWithCorners I M] (M' : Type*) [TopologicalSpace M'] [ChartedSpace H' M']
[SmoothManifoldWithCorners I' M'] : SmoothManifoldWithCorners (I.prod I') (M × M') where
compatible := by
rintro f g ⟨f1, hf1, f2, hf2, rfl⟩ ⟨g1, hg1, g2, hg2, rfl⟩
rw [PartialHomeomorph.prod_symm, PartialHomeomorph.prod_trans]
have h1 := (contDiffGroupoid ⊤ I).compatible hf1 hg1
have h2 := (contDiffGroupoid ⊤ I').compatible hf2 hg2
exact contDiffGroupoid_prod h1 h2
#align smooth_manifold_with_corners.prod SmoothManifoldWithCorners.prod
end SmoothManifoldWithCorners
theorem PartialHomeomorph.singleton_smoothManifoldWithCorners
{𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E]
{H : Type*} [TopologicalSpace H] (I : ModelWithCorners 𝕜 E H)
{M : Type*} [TopologicalSpace M] (e : PartialHomeomorph M H) (h : e.source = Set.univ) :
@SmoothManifoldWithCorners 𝕜 _ E _ _ H _ I M _ (e.singletonChartedSpace h) :=
@SmoothManifoldWithCorners.mk' _ _ _ _ _ _ _ _ _ _ (id _) <|
e.singleton_hasGroupoid h (contDiffGroupoid ∞ I)
#align local_homeomorph.singleton_smooth_manifold_with_corners PartialHomeomorph.singleton_smoothManifoldWithCorners
theorem OpenEmbedding.singleton_smoothManifoldWithCorners {𝕜 : Type*} [NontriviallyNormedField 𝕜]
{E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {H : Type*} [TopologicalSpace H]
(I : ModelWithCorners 𝕜 E H) {M : Type*} [TopologicalSpace M] [Nonempty M] {f : M → H}
(h : OpenEmbedding f) :
@SmoothManifoldWithCorners 𝕜 _ E _ _ H _ I M _ h.singletonChartedSpace :=
(h.toPartialHomeomorph f).singleton_smoothManifoldWithCorners I (by simp)
#align open_embedding.singleton_smooth_manifold_with_corners OpenEmbedding.singleton_smoothManifoldWithCorners
namespace TopologicalSpace.Opens
open TopologicalSpace
variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*} [NormedAddCommGroup E]
[NormedSpace 𝕜 E] {H : Type*} [TopologicalSpace H] (I : ModelWithCorners 𝕜 E H) {M : Type*}
[TopologicalSpace M] [ChartedSpace H M] [SmoothManifoldWithCorners I M] (s : Opens M)
instance : SmoothManifoldWithCorners I s :=
{ s.instHasGroupoid (contDiffGroupoid ∞ I) with }
end TopologicalSpace.Opens
section ExtendedCharts
open scoped Topology
variable {𝕜 E M H E' M' H' : Type*} [NontriviallyNormedField 𝕜] [NormedAddCommGroup E]
[NormedSpace 𝕜 E] [TopologicalSpace H] [TopologicalSpace M] (f f' : PartialHomeomorph M H)
(I : ModelWithCorners 𝕜 E H) [NormedAddCommGroup E'] [NormedSpace 𝕜 E'] [TopologicalSpace H']
[TopologicalSpace M'] (I' : ModelWithCorners 𝕜 E' H') {s t : Set M}
/-!
### Extended charts
In a smooth manifold with corners, the model space is the space `H`. However, we will also
need to use extended charts taking values in the model vector space `E`. These extended charts are
not `PartialHomeomorph` as the target is not open in `E` in general, but we can still register them
as `PartialEquiv`.
-/
namespace PartialHomeomorph
/-- Given a chart `f` on a manifold with corners, `f.extend I` is the extended chart to the model
vector space. -/
@[simp, mfld_simps]
def extend : PartialEquiv M E :=
f.toPartialEquiv ≫ I.toPartialEquiv
#align local_homeomorph.extend PartialHomeomorph.extend
theorem extend_coe : ⇑(f.extend I) = I ∘ f :=
rfl
#align local_homeomorph.extend_coe PartialHomeomorph.extend_coe
theorem extend_coe_symm : ⇑(f.extend I).symm = f.symm ∘ I.symm :=
rfl
#align local_homeomorph.extend_coe_symm PartialHomeomorph.extend_coe_symm
theorem extend_source : (f.extend I).source = f.source := by
rw [extend, PartialEquiv.trans_source, I.source_eq, preimage_univ, inter_univ]
#align local_homeomorph.extend_source PartialHomeomorph.extend_source
theorem isOpen_extend_source : IsOpen (f.extend I).source := by
rw [extend_source]
exact f.open_source
#align local_homeomorph.is_open_extend_source PartialHomeomorph.isOpen_extend_source
theorem extend_target : (f.extend I).target = I.symm ⁻¹' f.target ∩ range I := by
simp_rw [extend, PartialEquiv.trans_target, I.target_eq, I.toPartialEquiv_coe_symm, inter_comm]
#align local_homeomorph.extend_target PartialHomeomorph.extend_target
theorem extend_target' : (f.extend I).target = I '' f.target := by
rw [extend, PartialEquiv.trans_target'', I.source_eq, univ_inter, I.toPartialEquiv_coe]
lemma isOpen_extend_target [I.Boundaryless] : IsOpen (f.extend I).target := by
rw [extend_target, I.range_eq_univ, inter_univ]
exact I.continuous_symm.isOpen_preimage _ f.open_target
theorem mapsTo_extend (hs : s ⊆ f.source) :
MapsTo (f.extend I) s ((f.extend I).symm ⁻¹' s ∩ range I) := by
rw [mapsTo', extend_coe, extend_coe_symm, preimage_comp, ← I.image_eq, image_comp,
f.image_eq_target_inter_inv_preimage hs]
exact image_subset _ inter_subset_right
#align local_homeomorph.maps_to_extend PartialHomeomorph.mapsTo_extend
theorem extend_left_inv {x : M} (hxf : x ∈ f.source) : (f.extend I).symm (f.extend I x) = x :=
(f.extend I).left_inv <| by rwa [f.extend_source]
#align local_homeomorph.extend_left_inv PartialHomeomorph.extend_left_inv
/-- Variant of `f.extend_left_inv I`, stated in terms of images. -/
lemma extend_left_inv' (ht: t ⊆ f.source) : ((f.extend I).symm ∘ (f.extend I)) '' t = t :=
EqOn.image_eq_self (fun _ hx ↦ f.extend_left_inv I (ht hx))
theorem extend_source_mem_nhds {x : M} (h : x ∈ f.source) : (f.extend I).source ∈ 𝓝 x :=
(isOpen_extend_source f I).mem_nhds <| by rwa [f.extend_source I]
#align local_homeomorph.extend_source_mem_nhds PartialHomeomorph.extend_source_mem_nhds
theorem extend_source_mem_nhdsWithin {x : M} (h : x ∈ f.source) : (f.extend I).source ∈ 𝓝[s] x :=
mem_nhdsWithin_of_mem_nhds <| extend_source_mem_nhds f I h
#align local_homeomorph.extend_source_mem_nhds_within PartialHomeomorph.extend_source_mem_nhdsWithin
theorem continuousOn_extend : ContinuousOn (f.extend I) (f.extend I).source := by
refine I.continuous.comp_continuousOn ?_
rw [extend_source]
exact f.continuousOn
#align local_homeomorph.continuous_on_extend PartialHomeomorph.continuousOn_extend
theorem continuousAt_extend {x : M} (h : x ∈ f.source) : ContinuousAt (f.extend I) x :=
(continuousOn_extend f I).continuousAt <| extend_source_mem_nhds f I h
#align local_homeomorph.continuous_at_extend PartialHomeomorph.continuousAt_extend
theorem map_extend_nhds {x : M} (hy : x ∈ f.source) :
map (f.extend I) (𝓝 x) = 𝓝[range I] f.extend I x := by
rwa [extend_coe, comp_apply, ← I.map_nhds_eq, ← f.map_nhds_eq, map_map]
#align local_homeomorph.map_extend_nhds PartialHomeomorph.map_extend_nhds
theorem map_extend_nhds_of_boundaryless [I.Boundaryless] {x : M} (hx : x ∈ f.source) :
map (f.extend I) (𝓝 x) = 𝓝 (f.extend I x) := by
rw [f.map_extend_nhds _ hx, I.range_eq_univ, nhdsWithin_univ]
theorem extend_target_mem_nhdsWithin {y : M} (hy : y ∈ f.source) :
(f.extend I).target ∈ 𝓝[range I] f.extend I y := by
rw [← PartialEquiv.image_source_eq_target, ← map_extend_nhds f I hy]
exact image_mem_map (extend_source_mem_nhds _ _ hy)
#align local_homeomorph.extend_target_mem_nhds_within PartialHomeomorph.extend_target_mem_nhdsWithin
theorem extend_image_nhd_mem_nhds_of_boundaryless [I.Boundaryless] {x} (hx : x ∈ f.source)
{s : Set M} (h : s ∈ 𝓝 x) : (f.extend I) '' s ∈ 𝓝 ((f.extend I) x) := by
rw [← f.map_extend_nhds_of_boundaryless _ hx, Filter.mem_map]
filter_upwards [h] using subset_preimage_image (f.extend I) s
theorem extend_target_subset_range : (f.extend I).target ⊆ range I := by simp only [mfld_simps]
#align local_homeomorph.extend_target_subset_range PartialHomeomorph.extend_target_subset_range
lemma interior_extend_target_subset_interior_range :
interior (f.extend I).target ⊆ interior (range I) := by
rw [f.extend_target, interior_inter, (f.open_target.preimage I.continuous_symm).interior_eq]
exact inter_subset_right
/-- If `y ∈ f.target` and `I y ∈ interior (range I)`,
then `I y` is an interior point of `(I ∘ f).target`. -/
lemma mem_interior_extend_target {y : H} (hy : y ∈ f.target)
(hy' : I y ∈ interior (range I)) : I y ∈ interior (f.extend I).target := by
rw [f.extend_target, interior_inter, (f.open_target.preimage I.continuous_symm).interior_eq,
mem_inter_iff, mem_preimage]
exact ⟨mem_of_eq_of_mem (I.left_inv (y)) hy, hy'⟩
theorem nhdsWithin_extend_target_eq {y : M} (hy : y ∈ f.source) :
𝓝[(f.extend I).target] f.extend I y = 𝓝[range I] f.extend I y :=
(nhdsWithin_mono _ (extend_target_subset_range _ _)).antisymm <|
nhdsWithin_le_of_mem (extend_target_mem_nhdsWithin _ _ hy)
#align local_homeomorph.nhds_within_extend_target_eq PartialHomeomorph.nhdsWithin_extend_target_eq
theorem continuousAt_extend_symm' {x : E} (h : x ∈ (f.extend I).target) :
ContinuousAt (f.extend I).symm x :=
(f.continuousAt_symm h.2).comp I.continuous_symm.continuousAt
#align local_homeomorph.continuous_at_extend_symm' PartialHomeomorph.continuousAt_extend_symm'
theorem continuousAt_extend_symm {x : M} (h : x ∈ f.source) :
ContinuousAt (f.extend I).symm (f.extend I x) :=
continuousAt_extend_symm' f I <| (f.extend I).map_source <| by rwa [f.extend_source]
#align local_homeomorph.continuous_at_extend_symm PartialHomeomorph.continuousAt_extend_symm
theorem continuousOn_extend_symm : ContinuousOn (f.extend I).symm (f.extend I).target := fun _ h =>
(continuousAt_extend_symm' _ _ h).continuousWithinAt
#align local_homeomorph.continuous_on_extend_symm PartialHomeomorph.continuousOn_extend_symm
theorem extend_symm_continuousWithinAt_comp_right_iff {X} [TopologicalSpace X] {g : M → X}
{s : Set M} {x : M} :
ContinuousWithinAt (g ∘ (f.extend I).symm) ((f.extend I).symm ⁻¹' s ∩ range I) (f.extend I x) ↔
ContinuousWithinAt (g ∘ f.symm) (f.symm ⁻¹' s) (f x) := by
rw [← I.symm_continuousWithinAt_comp_right_iff]; rfl
#align local_homeomorph.extend_symm_continuous_within_at_comp_right_iff PartialHomeomorph.extend_symm_continuousWithinAt_comp_right_iff
theorem isOpen_extend_preimage' {s : Set E} (hs : IsOpen s) :
IsOpen ((f.extend I).source ∩ f.extend I ⁻¹' s) :=
(continuousOn_extend f I).isOpen_inter_preimage (isOpen_extend_source _ _) hs
#align local_homeomorph.is_open_extend_preimage' PartialHomeomorph.isOpen_extend_preimage'
theorem isOpen_extend_preimage {s : Set E} (hs : IsOpen s) :
IsOpen (f.source ∩ f.extend I ⁻¹' s) := by
rw [← extend_source f I]; exact isOpen_extend_preimage' f I hs
#align local_homeomorph.is_open_extend_preimage PartialHomeomorph.isOpen_extend_preimage
theorem map_extend_nhdsWithin_eq_image {y : M} (hy : y ∈ f.source) :
map (f.extend I) (𝓝[s] y) = 𝓝[f.extend I '' ((f.extend I).source ∩ s)] f.extend I y := by
set e := f.extend I
calc
map e (𝓝[s] y) = map e (𝓝[e.source ∩ s] y) :=
congr_arg (map e) (nhdsWithin_inter_of_mem (extend_source_mem_nhdsWithin f I hy)).symm
_ = 𝓝[e '' (e.source ∩ s)] e y :=
((f.extend I).leftInvOn.mono inter_subset_left).map_nhdsWithin_eq
((f.extend I).left_inv <| by rwa [f.extend_source])
(continuousAt_extend_symm f I hy).continuousWithinAt
(continuousAt_extend f I hy).continuousWithinAt
#align local_homeomorph.map_extend_nhds_within_eq_image PartialHomeomorph.map_extend_nhdsWithin_eq_image
theorem map_extend_nhdsWithin_eq_image_of_subset {y : M} (hy : y ∈ f.source) (hs : s ⊆ f.source) :
map (f.extend I) (𝓝[s] y) = 𝓝[f.extend I '' s] f.extend I y := by
rw [map_extend_nhdsWithin_eq_image _ _ hy, inter_eq_self_of_subset_right]
rwa [extend_source]
theorem map_extend_nhdsWithin {y : M} (hy : y ∈ f.source) :
map (f.extend I) (𝓝[s] y) = 𝓝[(f.extend I).symm ⁻¹' s ∩ range I] f.extend I y := by
rw [map_extend_nhdsWithin_eq_image f I hy, nhdsWithin_inter, ←
nhdsWithin_extend_target_eq _ _ hy, ← nhdsWithin_inter, (f.extend I).image_source_inter_eq',
inter_comm]
#align local_homeomorph.map_extend_nhds_within PartialHomeomorph.map_extend_nhdsWithin
theorem map_extend_symm_nhdsWithin {y : M} (hy : y ∈ f.source) :
map (f.extend I).symm (𝓝[(f.extend I).symm ⁻¹' s ∩ range I] f.extend I y) = 𝓝[s] y := by
rw [← map_extend_nhdsWithin f I hy, map_map, Filter.map_congr, map_id]
exact (f.extend I).leftInvOn.eqOn.eventuallyEq_of_mem (extend_source_mem_nhdsWithin _ _ hy)
#align local_homeomorph.map_extend_symm_nhds_within PartialHomeomorph.map_extend_symm_nhdsWithin
theorem map_extend_symm_nhdsWithin_range {y : M} (hy : y ∈ f.source) :
map (f.extend I).symm (𝓝[range I] f.extend I y) = 𝓝 y := by
rw [← nhdsWithin_univ, ← map_extend_symm_nhdsWithin f I hy, preimage_univ, univ_inter]
#align local_homeomorph.map_extend_symm_nhds_within_range PartialHomeomorph.map_extend_symm_nhdsWithin_range
theorem tendsto_extend_comp_iff {α : Type*} {l : Filter α} {g : α → M}
(hg : ∀ᶠ z in l, g z ∈ f.source) {y : M} (hy : y ∈ f.source) :
Tendsto (f.extend I ∘ g) l (𝓝 (f.extend I y)) ↔ Tendsto g l (𝓝 y) := by
refine ⟨fun h u hu ↦ mem_map.2 ?_, (continuousAt_extend _ _ hy).tendsto.comp⟩
have := (f.continuousAt_extend_symm I hy).tendsto.comp h
rw [extend_left_inv _ _ hy] at this
filter_upwards [hg, mem_map.1 (this hu)] with z hz hzu
simpa only [(· ∘ ·), extend_left_inv _ _ hz, mem_preimage] using hzu
-- there is no definition `writtenInExtend` but we already use some made-up names in this file
theorem continuousWithinAt_writtenInExtend_iff {f' : PartialHomeomorph M' H'} {g : M → M'} {y : M}
(hy : y ∈ f.source) (hgy : g y ∈ f'.source) (hmaps : MapsTo g s f'.source) :
ContinuousWithinAt (f'.extend I' ∘ g ∘ (f.extend I).symm)
((f.extend I).symm ⁻¹' s ∩ range I) (f.extend I y) ↔ ContinuousWithinAt g s y := by
unfold ContinuousWithinAt
simp only [comp_apply]
rw [extend_left_inv _ _ hy, f'.tendsto_extend_comp_iff _ _ hgy,
← f.map_extend_symm_nhdsWithin I hy, tendsto_map'_iff]
rw [← f.map_extend_nhdsWithin I hy, eventually_map]
filter_upwards [inter_mem_nhdsWithin _ (f.open_source.mem_nhds hy)] with z hz
rw [comp_apply, extend_left_inv _ _ hz.2]
exact hmaps hz.1
-- there is no definition `writtenInExtend` but we already use some made-up names in this file
/-- If `s ⊆ f.source` and `g x ∈ f'.source` whenever `x ∈ s`, then `g` is continuous on `s` if and
only if `g` written in charts `f.extend I` and `f'.extend I'` is continuous on `f.extend I '' s`. -/
theorem continuousOn_writtenInExtend_iff {f' : PartialHomeomorph M' H'} {g : M → M'}
(hs : s ⊆ f.source) (hmaps : MapsTo g s f'.source) :
ContinuousOn (f'.extend I' ∘ g ∘ (f.extend I).symm) (f.extend I '' s) ↔ ContinuousOn g s := by
refine forall_mem_image.trans <| forall₂_congr fun x hx ↦ ?_
refine (continuousWithinAt_congr_nhds ?_).trans
(continuousWithinAt_writtenInExtend_iff _ _ _ (hs hx) (hmaps hx) hmaps)
rw [← map_extend_nhdsWithin_eq_image_of_subset, ← map_extend_nhdsWithin]
exacts [hs hx, hs hx, hs]
/-- Technical lemma ensuring that the preimage under an extended chart of a neighborhood of a point
in the source is a neighborhood of the preimage, within a set. -/
theorem extend_preimage_mem_nhdsWithin {x : M} (h : x ∈ f.source) (ht : t ∈ 𝓝[s] x) :
(f.extend I).symm ⁻¹' t ∈ 𝓝[(f.extend I).symm ⁻¹' s ∩ range I] f.extend I x := by
rwa [← map_extend_symm_nhdsWithin f I h, mem_map] at ht
#align local_homeomorph.extend_preimage_mem_nhds_within PartialHomeomorph.extend_preimage_mem_nhdsWithin
theorem extend_preimage_mem_nhds {x : M} (h : x ∈ f.source) (ht : t ∈ 𝓝 x) :
(f.extend I).symm ⁻¹' t ∈ 𝓝 (f.extend I x) := by
apply (continuousAt_extend_symm f I h).preimage_mem_nhds
rwa [(f.extend I).left_inv]
rwa [f.extend_source]
#align local_homeomorph.extend_preimage_mem_nhds PartialHomeomorph.extend_preimage_mem_nhds
/-- Technical lemma to rewrite suitably the preimage of an intersection under an extended chart, to
bring it into a convenient form to apply derivative lemmas. -/
theorem extend_preimage_inter_eq :
(f.extend I).symm ⁻¹' (s ∩ t) ∩ range I =
(f.extend I).symm ⁻¹' s ∩ range I ∩ (f.extend I).symm ⁻¹' t := by
mfld_set_tac
#align local_homeomorph.extend_preimage_inter_eq PartialHomeomorph.extend_preimage_inter_eq
-- Porting note: an `aux` lemma that is no longer needed. Delete?
theorem extend_symm_preimage_inter_range_eventuallyEq_aux {s : Set M} {x : M} (hx : x ∈ f.source) :
((f.extend I).symm ⁻¹' s ∩ range I : Set _) =ᶠ[𝓝 (f.extend I x)]
((f.extend I).target ∩ (f.extend I).symm ⁻¹' s : Set _) := by
rw [f.extend_target, inter_assoc, inter_comm (range I)]
conv =>
congr
· skip
rw [← univ_inter (_ ∩ range I)]
refine (eventuallyEq_univ.mpr ?_).symm.inter EventuallyEq.rfl
refine I.continuousAt_symm.preimage_mem_nhds (f.open_target.mem_nhds ?_)
simp_rw [f.extend_coe, Function.comp_apply, I.left_inv, f.mapsTo hx]
#align local_homeomorph.extend_symm_preimage_inter_range_eventually_eq_aux PartialHomeomorph.extend_symm_preimage_inter_range_eventuallyEq_aux
theorem extend_symm_preimage_inter_range_eventuallyEq {s : Set M} {x : M} (hs : s ⊆ f.source)
(hx : x ∈ f.source) :
((f.extend I).symm ⁻¹' s ∩ range I : Set _) =ᶠ[𝓝 (f.extend I x)] f.extend I '' s := by
rw [← nhdsWithin_eq_iff_eventuallyEq, ← map_extend_nhdsWithin _ _ hx,
map_extend_nhdsWithin_eq_image_of_subset _ _ hx hs]
#align local_homeomorph.extend_symm_preimage_inter_range_eventually_eq PartialHomeomorph.extend_symm_preimage_inter_range_eventuallyEq
/-! We use the name `extend_coord_change` for `(f'.extend I).symm ≫ f.extend I`. -/
theorem extend_coord_change_source :
((f.extend I).symm ≫ f'.extend I).source = I '' (f.symm ≫ₕ f').source := by
simp_rw [PartialEquiv.trans_source, I.image_eq, extend_source, PartialEquiv.symm_source,
extend_target, inter_right_comm _ (range I)]
rfl
#align local_homeomorph.extend_coord_change_source PartialHomeomorph.extend_coord_change_source
theorem extend_image_source_inter :
f.extend I '' (f.source ∩ f'.source) = ((f.extend I).symm ≫ f'.extend I).source := by
simp_rw [f.extend_coord_change_source, f.extend_coe, image_comp I f, trans_source'', symm_symm,
symm_target]
#align local_homeomorph.extend_image_source_inter PartialHomeomorph.extend_image_source_inter
theorem extend_coord_change_source_mem_nhdsWithin {x : E}
(hx : x ∈ ((f.extend I).symm ≫ f'.extend I).source) :
((f.extend I).symm ≫ f'.extend I).source ∈ 𝓝[range I] x := by
rw [f.extend_coord_change_source] at hx ⊢
obtain ⟨x, hx, rfl⟩ := hx
refine I.image_mem_nhdsWithin ?_
exact (PartialHomeomorph.open_source _).mem_nhds hx
#align local_homeomorph.extend_coord_change_source_mem_nhds_within PartialHomeomorph.extend_coord_change_source_mem_nhdsWithin
theorem extend_coord_change_source_mem_nhdsWithin' {x : M} (hxf : x ∈ f.source)
(hxf' : x ∈ f'.source) :
((f.extend I).symm ≫ f'.extend I).source ∈ 𝓝[range I] f.extend I x := by
apply extend_coord_change_source_mem_nhdsWithin
rw [← extend_image_source_inter]
exact mem_image_of_mem _ ⟨hxf, hxf'⟩
#align local_homeomorph.extend_coord_change_source_mem_nhds_within' PartialHomeomorph.extend_coord_change_source_mem_nhdsWithin'
variable {f f'}
open SmoothManifoldWithCorners
theorem contDiffOn_extend_coord_change [ChartedSpace H M] (hf : f ∈ maximalAtlas I M)
(hf' : f' ∈ maximalAtlas I M) :
ContDiffOn 𝕜 ⊤ (f.extend I ∘ (f'.extend I).symm) ((f'.extend I).symm ≫ f.extend I).source := by
rw [extend_coord_change_source, I.image_eq]
exact (StructureGroupoid.compatible_of_mem_maximalAtlas hf' hf).1
#align local_homeomorph.cont_diff_on_extend_coord_change PartialHomeomorph.contDiffOn_extend_coord_change
theorem contDiffWithinAt_extend_coord_change [ChartedSpace H M] (hf : f ∈ maximalAtlas I M)
(hf' : f' ∈ maximalAtlas I M) {x : E} (hx : x ∈ ((f'.extend I).symm ≫ f.extend I).source) :
ContDiffWithinAt 𝕜 ⊤ (f.extend I ∘ (f'.extend I).symm) (range I) x := by
apply (contDiffOn_extend_coord_change I hf hf' x hx).mono_of_mem
rw [extend_coord_change_source] at hx ⊢
obtain ⟨z, hz, rfl⟩ := hx
exact I.image_mem_nhdsWithin ((PartialHomeomorph.open_source _).mem_nhds hz)
#align local_homeomorph.cont_diff_within_at_extend_coord_change PartialHomeomorph.contDiffWithinAt_extend_coord_change
theorem contDiffWithinAt_extend_coord_change' [ChartedSpace H M] (hf : f ∈ maximalAtlas I M)
(hf' : f' ∈ maximalAtlas I M) {x : M} (hxf : x ∈ f.source) (hxf' : x ∈ f'.source) :
ContDiffWithinAt 𝕜 ⊤ (f.extend I ∘ (f'.extend I).symm) (range I) (f'.extend I x) := by
refine contDiffWithinAt_extend_coord_change I hf hf' ?_
rw [← extend_image_source_inter]
exact mem_image_of_mem _ ⟨hxf', hxf⟩
#align local_homeomorph.cont_diff_within_at_extend_coord_change' PartialHomeomorph.contDiffWithinAt_extend_coord_change'
end PartialHomeomorph
open PartialHomeomorph
variable [ChartedSpace H M] [ChartedSpace H' M']
/-- The preferred extended chart on a manifold with corners around a point `x`, from a neighborhood
of `x` to the model vector space. -/
@[simp, mfld_simps]
def extChartAt (x : M) : PartialEquiv M E :=
(chartAt H x).extend I
#align ext_chart_at extChartAt
theorem extChartAt_coe (x : M) : ⇑(extChartAt I x) = I ∘ chartAt H x :=
rfl
#align ext_chart_at_coe extChartAt_coe
theorem extChartAt_coe_symm (x : M) : ⇑(extChartAt I x).symm = (chartAt H x).symm ∘ I.symm :=
rfl
#align ext_chart_at_coe_symm extChartAt_coe_symm
theorem extChartAt_source (x : M) : (extChartAt I x).source = (chartAt H x).source :=
extend_source _ _
#align ext_chart_at_source extChartAt_source
theorem isOpen_extChartAt_source (x : M) : IsOpen (extChartAt I x).source :=
isOpen_extend_source _ _
#align is_open_ext_chart_at_source isOpen_extChartAt_source
theorem mem_extChartAt_source (x : M) : x ∈ (extChartAt I x).source := by
simp only [extChartAt_source, mem_chart_source]
#align mem_ext_chart_source mem_extChartAt_source
theorem mem_extChartAt_target (x : M) : extChartAt I x x ∈ (extChartAt I x).target :=
(extChartAt I x).map_source <| mem_extChartAt_source _ _
theorem extChartAt_target (x : M) :
(extChartAt I x).target = I.symm ⁻¹' (chartAt H x).target ∩ range I :=
extend_target _ _
#align ext_chart_at_target extChartAt_target
theorem uniqueDiffOn_extChartAt_target (x : M) : UniqueDiffOn 𝕜 (extChartAt I x).target := by
rw [extChartAt_target]
exact I.unique_diff_preimage (chartAt H x).open_target
theorem uniqueDiffWithinAt_extChartAt_target (x : M) :
UniqueDiffWithinAt 𝕜 (extChartAt I x).target (extChartAt I x x) :=
uniqueDiffOn_extChartAt_target I x _ <| mem_extChartAt_target I x
theorem extChartAt_to_inv (x : M) : (extChartAt I x).symm ((extChartAt I x) x) = x :=
(extChartAt I x).left_inv (mem_extChartAt_source I x)
#align ext_chart_at_to_inv extChartAt_to_inv
theorem mapsTo_extChartAt {x : M} (hs : s ⊆ (chartAt H x).source) :
MapsTo (extChartAt I x) s ((extChartAt I x).symm ⁻¹' s ∩ range I) :=
mapsTo_extend _ _ hs
#align maps_to_ext_chart_at mapsTo_extChartAt
theorem extChartAt_source_mem_nhds' {x x' : M} (h : x' ∈ (extChartAt I x).source) :
(extChartAt I x).source ∈ 𝓝 x' :=
extend_source_mem_nhds _ _ <| by rwa [← extChartAt_source I]
#align ext_chart_at_source_mem_nhds' extChartAt_source_mem_nhds'
theorem extChartAt_source_mem_nhds (x : M) : (extChartAt I x).source ∈ 𝓝 x :=
extChartAt_source_mem_nhds' I (mem_extChartAt_source I x)
#align ext_chart_at_source_mem_nhds extChartAt_source_mem_nhds
theorem extChartAt_source_mem_nhdsWithin' {x x' : M} (h : x' ∈ (extChartAt I x).source) :
(extChartAt I x).source ∈ 𝓝[s] x' :=
mem_nhdsWithin_of_mem_nhds (extChartAt_source_mem_nhds' I h)
#align ext_chart_at_source_mem_nhds_within' extChartAt_source_mem_nhdsWithin'
theorem extChartAt_source_mem_nhdsWithin (x : M) : (extChartAt I x).source ∈ 𝓝[s] x :=
mem_nhdsWithin_of_mem_nhds (extChartAt_source_mem_nhds I x)
#align ext_chart_at_source_mem_nhds_within extChartAt_source_mem_nhdsWithin
theorem continuousOn_extChartAt (x : M) : ContinuousOn (extChartAt I x) (extChartAt I x).source :=
continuousOn_extend _ _
#align continuous_on_ext_chart_at continuousOn_extChartAt
theorem continuousAt_extChartAt' {x x' : M} (h : x' ∈ (extChartAt I x).source) :
ContinuousAt (extChartAt I x) x' :=
continuousAt_extend _ _ <| by rwa [← extChartAt_source I]
#align continuous_at_ext_chart_at' continuousAt_extChartAt'
theorem continuousAt_extChartAt (x : M) : ContinuousAt (extChartAt I x) x :=
continuousAt_extChartAt' _ (mem_extChartAt_source I x)
#align continuous_at_ext_chart_at continuousAt_extChartAt
theorem map_extChartAt_nhds' {x y : M} (hy : y ∈ (extChartAt I x).source) :
map (extChartAt I x) (𝓝 y) = 𝓝[range I] extChartAt I x y :=
map_extend_nhds _ _ <| by rwa [← extChartAt_source I]
#align map_ext_chart_at_nhds' map_extChartAt_nhds'
theorem map_extChartAt_nhds (x : M) : map (extChartAt I x) (𝓝 x) = 𝓝[range I] extChartAt I x x :=
map_extChartAt_nhds' I <| mem_extChartAt_source I x
#align map_ext_chart_at_nhds map_extChartAt_nhds
theorem map_extChartAt_nhds_of_boundaryless [I.Boundaryless] (x : M) :
map (extChartAt I x) (𝓝 x) = 𝓝 (extChartAt I x x) := by
rw [extChartAt]
exact map_extend_nhds_of_boundaryless (chartAt H x) I (mem_chart_source H x)
variable {x} in
| Mathlib/Geometry/Manifold/SmoothManifoldWithCorners.lean | 1,378 | 1,381 | theorem extChartAt_image_nhd_mem_nhds_of_boundaryless [I.Boundaryless]
{x : M} (hx : s ∈ 𝓝 x) : extChartAt I x '' s ∈ 𝓝 (extChartAt I x x) := by |
rw [extChartAt]
exact extend_image_nhd_mem_nhds_of_boundaryless _ I (mem_chart_source H x) hx
|
/-
Copyright (c) 2014 Jeremy Avigad. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jeremy Avigad, Leonardo de Moura, Floris van Doorn, Yury Kudryashov, Neil Strickland
-/
import Mathlib.Algebra.Group.Defs
import Mathlib.Algebra.GroupWithZero.Defs
import Mathlib.Data.Int.Cast.Defs
import Mathlib.Tactic.Spread
import Mathlib.Util.AssertExists
#align_import algebra.ring.defs from "leanprover-community/mathlib"@"76de8ae01554c3b37d66544866659ff174e66e1f"
/-!
# Semirings and rings
This file defines semirings, rings and domains. This is analogous to `Algebra.Group.Defs` and
`Algebra.Group.Basic`, the difference being that the former is about `+` and `*` separately, while
the present file is about their interaction.
## Main definitions
* `Distrib`: Typeclass for distributivity of multiplication over addition.
* `HasDistribNeg`: Typeclass for commutativity of negation and multiplication. This is useful when
dealing with multiplicative submonoids which are closed under negation without being closed under
addition, for example `Units`.
* `(NonUnital)(NonAssoc)(Semi)Ring`: Typeclasses for possibly non-unital or non-associative
rings and semirings. Some combinations are not defined yet because they haven't found use.
## Tags
`Semiring`, `CommSemiring`, `Ring`, `CommRing`, domain, `IsDomain`, nonzero, units
-/
universe u v w x
variable {α : Type u} {β : Type v} {γ : Type w} {R : Type x}
open Function
/-!
### `Distrib` class
-/
/-- A typeclass stating that multiplication is left and right distributive
over addition. -/
class Distrib (R : Type*) extends Mul R, Add R where
/-- Multiplication is left distributive over addition -/
protected left_distrib : ∀ a b c : R, a * (b + c) = a * b + a * c
/-- Multiplication is right distributive over addition -/
protected right_distrib : ∀ a b c : R, (a + b) * c = a * c + b * c
#align distrib Distrib
/-- A typeclass stating that multiplication is left distributive over addition. -/
class LeftDistribClass (R : Type*) [Mul R] [Add R] : Prop where
/-- Multiplication is left distributive over addition -/
protected left_distrib : ∀ a b c : R, a * (b + c) = a * b + a * c
#align left_distrib_class LeftDistribClass
/-- A typeclass stating that multiplication is right distributive over addition. -/
class RightDistribClass (R : Type*) [Mul R] [Add R] : Prop where
/-- Multiplication is right distributive over addition -/
protected right_distrib : ∀ a b c : R, (a + b) * c = a * c + b * c
#align right_distrib_class RightDistribClass
-- see Note [lower instance priority]
instance (priority := 100) Distrib.leftDistribClass (R : Type*) [Distrib R] : LeftDistribClass R :=
⟨Distrib.left_distrib⟩
#align distrib.left_distrib_class Distrib.leftDistribClass
-- see Note [lower instance priority]
instance (priority := 100) Distrib.rightDistribClass (R : Type*) [Distrib R] :
RightDistribClass R :=
⟨Distrib.right_distrib⟩
#align distrib.right_distrib_class Distrib.rightDistribClass
theorem left_distrib [Mul R] [Add R] [LeftDistribClass R] (a b c : R) :
a * (b + c) = a * b + a * c :=
LeftDistribClass.left_distrib a b c
#align left_distrib left_distrib
alias mul_add := left_distrib
#align mul_add mul_add
theorem right_distrib [Mul R] [Add R] [RightDistribClass R] (a b c : R) :
(a + b) * c = a * c + b * c :=
RightDistribClass.right_distrib a b c
#align right_distrib right_distrib
alias add_mul := right_distrib
#align add_mul add_mul
theorem distrib_three_right [Mul R] [Add R] [RightDistribClass R] (a b c d : R) :
(a + b + c) * d = a * d + b * d + c * d := by simp [right_distrib]
#align distrib_three_right distrib_three_right
/-!
### Classes of semirings and rings
We make sure that the canonical path from `NonAssocSemiring` to `Ring` passes through `Semiring`,
as this is a path which is followed all the time in linear algebra where the defining semilinear map
`σ : R →+* S` depends on the `NonAssocSemiring` structure of `R` and `S` while the module
definition depends on the `Semiring` structure.
It is not currently possible to adjust priorities by hand (see lean4#2115). Instead, the last
declared instance is used, so we make sure that `Semiring` is declared after `NonAssocRing`, so
that `Semiring -> NonAssocSemiring` is tried before `NonAssocRing -> NonAssocSemiring`.
TODO: clean this once lean4#2115 is fixed
-/
/-- A not-necessarily-unital, not-necessarily-associative semiring. -/
class NonUnitalNonAssocSemiring (α : Type u) extends AddCommMonoid α, Distrib α, MulZeroClass α
#align non_unital_non_assoc_semiring NonUnitalNonAssocSemiring
/-- An associative but not-necessarily unital semiring. -/
class NonUnitalSemiring (α : Type u) extends NonUnitalNonAssocSemiring α, SemigroupWithZero α
#align non_unital_semiring NonUnitalSemiring
/-- A unital but not-necessarily-associative semiring. -/
class NonAssocSemiring (α : Type u) extends NonUnitalNonAssocSemiring α, MulZeroOneClass α,
AddCommMonoidWithOne α
#align non_assoc_semiring NonAssocSemiring
/-- A not-necessarily-unital, not-necessarily-associative ring. -/
class NonUnitalNonAssocRing (α : Type u) extends AddCommGroup α, NonUnitalNonAssocSemiring α
#align non_unital_non_assoc_ring NonUnitalNonAssocRing
/-- An associative but not-necessarily unital ring. -/
class NonUnitalRing (α : Type*) extends NonUnitalNonAssocRing α, NonUnitalSemiring α
#align non_unital_ring NonUnitalRing
/-- A unital but not-necessarily-associative ring. -/
class NonAssocRing (α : Type*) extends NonUnitalNonAssocRing α, NonAssocSemiring α,
AddCommGroupWithOne α
#align non_assoc_ring NonAssocRing
/-- A `Semiring` is a type with addition, multiplication, a `0` and a `1` where addition is
commutative and associative, multiplication is associative and left and right distributive over
addition, and `0` and `1` are additive and multiplicative identities. -/
class Semiring (α : Type u) extends NonUnitalSemiring α, NonAssocSemiring α, MonoidWithZero α
#align semiring Semiring
/-- A `Ring` is a `Semiring` with negation making it an additive group. -/
class Ring (R : Type u) extends Semiring R, AddCommGroup R, AddGroupWithOne R
#align ring Ring
/-!
### Semirings
-/
section DistribMulOneClass
variable [Add α] [MulOneClass α]
theorem add_one_mul [RightDistribClass α] (a b : α) : (a + 1) * b = a * b + b := by
rw [add_mul, one_mul]
#align add_one_mul add_one_mul
theorem mul_add_one [LeftDistribClass α] (a b : α) : a * (b + 1) = a * b + a := by
rw [mul_add, mul_one]
#align mul_add_one mul_add_one
theorem one_add_mul [RightDistribClass α] (a b : α) : (1 + a) * b = b + a * b := by
rw [add_mul, one_mul]
#align one_add_mul one_add_mul
theorem mul_one_add [LeftDistribClass α] (a b : α) : a * (1 + b) = a + a * b := by
rw [mul_add, mul_one]
#align mul_one_add mul_one_add
end DistribMulOneClass
section NonAssocSemiring
variable [NonAssocSemiring α]
-- Porting note: was [has_add α] [mul_one_class α] [right_distrib_class α]
theorem two_mul (n : α) : 2 * n = n + n :=
(congrArg₂ _ one_add_one_eq_two.symm rfl).trans <| (right_distrib 1 1 n).trans (by rw [one_mul])
#align two_mul two_mul
-- Porting note: was [has_add α] [mul_one_class α] [right_distrib_class α]
set_option linter.deprecated false in
theorem bit0_eq_two_mul (n : α) : bit0 n = 2 * n :=
(two_mul _).symm
#align bit0_eq_two_mul bit0_eq_two_mul
-- Porting note: was [has_add α] [mul_one_class α] [left_distrib_class α]
theorem mul_two (n : α) : n * 2 = n + n :=
(congrArg₂ _ rfl one_add_one_eq_two.symm).trans <| (left_distrib n 1 1).trans (by rw [mul_one])
#align mul_two mul_two
end NonAssocSemiring
@[to_additive]
theorem mul_ite {α} [Mul α] (P : Prop) [Decidable P] (a b c : α) :
(a * if P then b else c) = if P then a * b else a * c := by split_ifs <;> rfl
#align mul_ite mul_ite
#align add_ite add_ite
@[to_additive]
theorem ite_mul {α} [Mul α] (P : Prop) [Decidable P] (a b c : α) :
(if P then a else b) * c = if P then a * c else b * c := by split_ifs <;> rfl
#align ite_mul ite_mul
#align ite_add ite_add
-- We make `mul_ite` and `ite_mul` simp lemmas,
-- but not `add_ite` or `ite_add`.
-- The problem we're trying to avoid is dealing with
-- summations of the form `∑ x ∈ s, (f x + ite P 1 0)`,
-- in which `add_ite` followed by `sum_ite` would needlessly slice up
-- the `f x` terms according to whether `P` holds at `x`.
-- There doesn't appear to be a corresponding difficulty so far with
-- `mul_ite` and `ite_mul`.
attribute [simp] mul_ite ite_mul
theorem ite_sub_ite {α} [Sub α] (P : Prop) [Decidable P] (a b c d : α) :
((if P then a else b) - if P then c else d) = if P then a - c else b - d := by
split
repeat rfl
theorem ite_add_ite {α} [Add α] (P : Prop) [Decidable P] (a b c d : α) :
((if P then a else b) + if P then c else d) = if P then a + c else b + d := by
split
repeat rfl
section MulZeroClass
variable [MulZeroClass α] (P Q : Prop) [Decidable P] [Decidable Q] (a b : α)
lemma ite_zero_mul : ite P a 0 * b = ite P (a * b) 0 := by simp
#align ite_mul_zero_left ite_zero_mul
lemma mul_ite_zero : a * ite P b 0 = ite P (a * b) 0 := by simp
#align ite_mul_zero_right mul_ite_zero
lemma ite_zero_mul_ite_zero : ite P a 0 * ite Q b 0 = ite (P ∧ Q) (a * b) 0 := by
simp only [← ite_and, ite_mul, mul_ite, mul_zero, zero_mul, and_comm]
#align ite_and_mul_zero ite_zero_mul_ite_zero
end MulZeroClass
-- Porting note: no @[simp] because simp proves it
theorem mul_boole {α} [MulZeroOneClass α] (P : Prop) [Decidable P] (a : α) :
(a * if P then 1 else 0) = if P then a else 0 := by simp
#align mul_boole mul_boole
-- Porting note: no @[simp] because simp proves it
theorem boole_mul {α} [MulZeroOneClass α] (P : Prop) [Decidable P] (a : α) :
(if P then 1 else 0) * a = if P then a else 0 := by simp
#align boole_mul boole_mul
/-- A not-necessarily-unital, not-necessarily-associative, but commutative semiring. -/
class NonUnitalNonAssocCommSemiring (α : Type u) extends NonUnitalNonAssocSemiring α, CommMagma α
/-- A non-unital commutative semiring is a `NonUnitalSemiring` with commutative multiplication.
In other words, it is a type with the following structures: additive commutative monoid
(`AddCommMonoid`), commutative semigroup (`CommSemigroup`), distributive laws (`Distrib`), and
multiplication by zero law (`MulZeroClass`). -/
class NonUnitalCommSemiring (α : Type u) extends NonUnitalSemiring α, CommSemigroup α
#align non_unital_comm_semiring NonUnitalCommSemiring
/-- A commutative semiring is a semiring with commutative multiplication. -/
class CommSemiring (R : Type u) extends Semiring R, CommMonoid R
#align comm_semiring CommSemiring
-- see Note [lower instance priority]
instance (priority := 100) CommSemiring.toNonUnitalCommSemiring [CommSemiring α] :
NonUnitalCommSemiring α :=
{ inferInstanceAs (CommMonoid α), inferInstanceAs (CommSemiring α) with }
#align comm_semiring.to_non_unital_comm_semiring CommSemiring.toNonUnitalCommSemiring
-- see Note [lower instance priority]
instance (priority := 100) CommSemiring.toCommMonoidWithZero [CommSemiring α] :
CommMonoidWithZero α :=
{ inferInstanceAs (CommMonoid α), inferInstanceAs (CommSemiring α) with }
#align comm_semiring.to_comm_monoid_with_zero CommSemiring.toCommMonoidWithZero
section CommSemiring
variable [CommSemiring α] {a b c : α}
theorem add_mul_self_eq (a b : α) : (a + b) * (a + b) = a * a + 2 * a * b + b * b := by
simp only [two_mul, add_mul, mul_add, add_assoc, mul_comm b]
#align add_mul_self_eq add_mul_self_eq
lemma add_sq (a b : α) : (a + b) ^ 2 = a ^ 2 + 2 * a * b + b ^ 2 := by
simp only [sq, add_mul_self_eq]
#align add_sq add_sq
lemma add_sq' (a b : α) : (a + b) ^ 2 = a ^ 2 + b ^ 2 + 2 * a * b := by
rw [add_sq, add_assoc, add_comm _ (b ^ 2), add_assoc]
#align add_sq' add_sq'
alias add_pow_two := add_sq
#align add_pow_two add_pow_two
end CommSemiring
section HasDistribNeg
/-- Typeclass for a negation operator that distributes across multiplication.
This is useful for dealing with submonoids of a ring that contain `-1` without having to duplicate
lemmas. -/
class HasDistribNeg (α : Type*) [Mul α] extends InvolutiveNeg α where
/-- Negation is left distributive over multiplication -/
neg_mul : ∀ x y : α, -x * y = -(x * y)
/-- Negation is right distributive over multiplication -/
mul_neg : ∀ x y : α, x * -y = -(x * y)
#align has_distrib_neg HasDistribNeg
section Mul
variable [Mul α] [HasDistribNeg α]
@[simp]
theorem neg_mul (a b : α) : -a * b = -(a * b) :=
HasDistribNeg.neg_mul _ _
#align neg_mul neg_mul
@[simp]
theorem mul_neg (a b : α) : a * -b = -(a * b) :=
HasDistribNeg.mul_neg _ _
#align mul_neg mul_neg
theorem neg_mul_neg (a b : α) : -a * -b = a * b := by simp
#align neg_mul_neg neg_mul_neg
theorem neg_mul_eq_neg_mul (a b : α) : -(a * b) = -a * b :=
(neg_mul _ _).symm
#align neg_mul_eq_neg_mul neg_mul_eq_neg_mul
theorem neg_mul_eq_mul_neg (a b : α) : -(a * b) = a * -b :=
(mul_neg _ _).symm
#align neg_mul_eq_mul_neg neg_mul_eq_mul_neg
theorem neg_mul_comm (a b : α) : -a * b = a * -b := by simp
#align neg_mul_comm neg_mul_comm
end Mul
section MulOneClass
variable [MulOneClass α] [HasDistribNeg α]
theorem neg_eq_neg_one_mul (a : α) : -a = -1 * a := by simp
#align neg_eq_neg_one_mul neg_eq_neg_one_mul
/-- An element of a ring multiplied by the additive inverse of one is the element's additive
inverse. -/
| Mathlib/Algebra/Ring/Defs.lean | 352 | 352 | theorem mul_neg_one (a : α) : a * -1 = -a := by | simp
|
/-
Copyright (c) 2017 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro, Yury G. Kudryashov
-/
import Mathlib.Logic.Function.Basic
import Mathlib.Tactic.MkIffOfInductiveProp
#align_import data.sum.basic from "leanprover-community/mathlib"@"bd9851ca476957ea4549eb19b40e7b5ade9428cc"
/-!
# Additional lemmas about sum types
Most of the former contents of this file have been moved to Batteries.
-/
universe u v w x
variable {α : Type u} {α' : Type w} {β : Type v} {β' : Type x} {γ δ : Type*}
namespace Sum
#align sum.forall Sum.forall
#align sum.exists Sum.exists
theorem exists_sum {γ : α ⊕ β → Sort*} (p : (∀ ab, γ ab) → Prop) :
(∃ fab, p fab) ↔ (∃ fa fb, p (Sum.rec fa fb)) := by
rw [← not_forall_not, forall_sum]
simp
theorem inl_injective : Function.Injective (inl : α → Sum α β) := fun _ _ ↦ inl.inj
#align sum.inl_injective Sum.inl_injective
theorem inr_injective : Function.Injective (inr : β → Sum α β) := fun _ _ ↦ inr.inj
#align sum.inr_injective Sum.inr_injective
theorem sum_rec_congr (P : α ⊕ β → Sort*) (f : ∀ i, P (inl i)) (g : ∀ i, P (inr i))
{x y : α ⊕ β} (h : x = y) :
@Sum.rec _ _ _ f g x = cast (congr_arg P h.symm) (@Sum.rec _ _ _ f g y) := by cases h; rfl
section get
#align sum.is_left Sum.isLeft
#align sum.is_right Sum.isRight
#align sum.get_left Sum.getLeft?
#align sum.get_right Sum.getRight?
variable {x y : Sum α β}
#align sum.get_left_eq_none_iff Sum.getLeft?_eq_none_iff
#align sum.get_right_eq_none_iff Sum.getRight?_eq_none_iff
theorem eq_left_iff_getLeft_eq {a : α} : x = inl a ↔ ∃ h, x.getLeft h = a := by
cases x <;> simp
theorem eq_right_iff_getRight_eq {b : β} : x = inr b ↔ ∃ h, x.getRight h = b := by
cases x <;> simp
#align sum.get_left_eq_some_iff Sum.getLeft?_eq_some_iff
#align sum.get_right_eq_some_iff Sum.getRight?_eq_some_iff
theorem getLeft_eq_getLeft? (h₁ : x.isLeft) (h₂ : x.getLeft?.isSome) :
x.getLeft h₁ = x.getLeft?.get h₂ := by simp [← getLeft?_eq_some_iff]
theorem getRight_eq_getRight? (h₁ : x.isRight) (h₂ : x.getRight?.isSome) :
x.getRight h₁ = x.getRight?.get h₂ := by simp [← getRight?_eq_some_iff]
#align sum.bnot_is_left Sum.bnot_isLeft
#align sum.is_left_eq_ff Sum.isLeft_eq_false
#align sum.not_is_left Sum.not_isLeft
#align sum.bnot_is_right Sum.bnot_isRight
#align sum.is_right_eq_ff Sum.isRight_eq_false
#align sum.not_is_right Sum.not_isRight
#align sum.is_left_iff Sum.isLeft_iff
#align sum.is_right_iff Sum.isRight_iff
@[simp] theorem isSome_getLeft?_iff_isLeft : x.getLeft?.isSome ↔ x.isLeft := by
rw [isLeft_iff, Option.isSome_iff_exists]; simp
@[simp] theorem isSome_getRight?_iff_isRight : x.getRight?.isSome ↔ x.isRight := by
rw [isRight_iff, Option.isSome_iff_exists]; simp
end get
#align sum.inl.inj_iff Sum.inl.inj_iff
#align sum.inr.inj_iff Sum.inr.inj_iff
#align sum.inl_ne_inr Sum.inl_ne_inr
#align sum.inr_ne_inl Sum.inr_ne_inl
#align sum.elim Sum.elim
#align sum.elim_inl Sum.elim_inl
#align sum.elim_inr Sum.elim_inr
#align sum.elim_comp_inl Sum.elim_comp_inl
#align sum.elim_comp_inr Sum.elim_comp_inr
#align sum.elim_inl_inr Sum.elim_inl_inr
#align sum.comp_elim Sum.comp_elim
#align sum.elim_comp_inl_inr Sum.elim_comp_inl_inr
#align sum.map Sum.map
#align sum.map_inl Sum.map_inl
#align sum.map_inr Sum.map_inr
#align sum.map_map Sum.map_map
#align sum.map_comp_map Sum.map_comp_map
#align sum.map_id_id Sum.map_id_id
#align sum.elim_map Sum.elim_map
#align sum.elim_comp_map Sum.elim_comp_map
#align sum.is_left_map Sum.isLeft_map
#align sum.is_right_map Sum.isRight_map
#align sum.get_left_map Sum.getLeft?_map
#align sum.get_right_map Sum.getRight?_map
open Function (update update_eq_iff update_comp_eq_of_injective update_comp_eq_of_forall_ne)
@[simp]
theorem update_elim_inl [DecidableEq α] [DecidableEq (Sum α β)] {f : α → γ} {g : β → γ} {i : α}
{x : γ} : update (Sum.elim f g) (inl i) x = Sum.elim (update f i x) g :=
update_eq_iff.2 ⟨by simp, by simp (config := { contextual := true })⟩
#align sum.update_elim_inl Sum.update_elim_inl
@[simp]
theorem update_elim_inr [DecidableEq β] [DecidableEq (Sum α β)] {f : α → γ} {g : β → γ} {i : β}
{x : γ} : update (Sum.elim f g) (inr i) x = Sum.elim f (update g i x) :=
update_eq_iff.2 ⟨by simp, by simp (config := { contextual := true })⟩
#align sum.update_elim_inr Sum.update_elim_inr
@[simp]
theorem update_inl_comp_inl [DecidableEq α] [DecidableEq (Sum α β)] {f : Sum α β → γ} {i : α}
{x : γ} : update f (inl i) x ∘ inl = update (f ∘ inl) i x :=
update_comp_eq_of_injective _ inl_injective _ _
#align sum.update_inl_comp_inl Sum.update_inl_comp_inl
@[simp]
theorem update_inl_apply_inl [DecidableEq α] [DecidableEq (Sum α β)] {f : Sum α β → γ} {i j : α}
{x : γ} : update f (inl i) x (inl j) = update (f ∘ inl) i x j := by
rw [← update_inl_comp_inl, Function.comp_apply]
#align sum.update_inl_apply_inl Sum.update_inl_apply_inl
@[simp]
theorem update_inl_comp_inr [DecidableEq (Sum α β)] {f : Sum α β → γ} {i : α} {x : γ} :
update f (inl i) x ∘ inr = f ∘ inr :=
(update_comp_eq_of_forall_ne _ _) fun _ ↦ inr_ne_inl
#align sum.update_inl_comp_inr Sum.update_inl_comp_inr
theorem update_inl_apply_inr [DecidableEq (Sum α β)] {f : Sum α β → γ} {i : α} {j : β} {x : γ} :
update f (inl i) x (inr j) = f (inr j) :=
Function.update_noteq inr_ne_inl _ _
#align sum.update_inl_apply_inr Sum.update_inl_apply_inr
@[simp]
theorem update_inr_comp_inl [DecidableEq (Sum α β)] {f : Sum α β → γ} {i : β} {x : γ} :
update f (inr i) x ∘ inl = f ∘ inl :=
(update_comp_eq_of_forall_ne _ _) fun _ ↦ inl_ne_inr
#align sum.update_inr_comp_inl Sum.update_inr_comp_inl
theorem update_inr_apply_inl [DecidableEq (Sum α β)] {f : Sum α β → γ} {i : α} {j : β} {x : γ} :
update f (inr j) x (inl i) = f (inl i) :=
Function.update_noteq inl_ne_inr _ _
#align sum.update_inr_apply_inl Sum.update_inr_apply_inl
@[simp]
theorem update_inr_comp_inr [DecidableEq β] [DecidableEq (Sum α β)] {f : Sum α β → γ} {i : β}
{x : γ} : update f (inr i) x ∘ inr = update (f ∘ inr) i x :=
update_comp_eq_of_injective _ inr_injective _ _
#align sum.update_inr_comp_inr Sum.update_inr_comp_inr
@[simp]
theorem update_inr_apply_inr [DecidableEq β] [DecidableEq (Sum α β)] {f : Sum α β → γ} {i j : β}
{x : γ} : update f (inr i) x (inr j) = update (f ∘ inr) i x j := by
rw [← update_inr_comp_inr, Function.comp_apply]
#align sum.update_inr_apply_inr Sum.update_inr_apply_inr
#align sum.swap Sum.swap
#align sum.swap_inl Sum.swap_inl
#align sum.swap_inr Sum.swap_inr
#align sum.swap_swap Sum.swap_swap
#align sum.swap_swap_eq Sum.swap_swap_eq
@[simp]
theorem swap_leftInverse : Function.LeftInverse (@swap α β) swap :=
swap_swap
#align sum.swap_left_inverse Sum.swap_leftInverse
@[simp]
theorem swap_rightInverse : Function.RightInverse (@swap α β) swap :=
swap_swap
#align sum.swap_right_inverse Sum.swap_rightInverse
#align sum.is_left_swap Sum.isLeft_swap
#align sum.is_right_swap Sum.isRight_swap
#align sum.get_left_swap Sum.getLeft?_swap
#align sum.get_right_swap Sum.getRight?_swap
mk_iff_of_inductive_prop Sum.LiftRel Sum.liftRel_iff
namespace LiftRel
#align sum.lift_rel Sum.LiftRel
#align sum.lift_rel_inl_inl Sum.liftRel_inl_inl
#align sum.not_lift_rel_inl_inr Sum.not_liftRel_inl_inr
#align sum.not_lift_rel_inr_inl Sum.not_liftRel_inr_inl
#align sum.lift_rel_inr_inr Sum.liftRel_inr_inr
#align sum.lift_rel.mono Sum.LiftRel.mono
#align sum.lift_rel.mono_left Sum.LiftRel.mono_left
#align sum.lift_rel.mono_right Sum.LiftRel.mono_right
#align sum.lift_rel.swap Sum.LiftRel.swap
#align sum.lift_rel_swap_iff Sum.liftRel_swap_iff
variable {r : α → γ → Prop} {s : β → δ → Prop} {x : Sum α β} {y : Sum γ δ}
{a : α} {b : β} {c : γ} {d : δ}
theorem isLeft_congr (h : LiftRel r s x y) : x.isLeft ↔ y.isLeft := by cases h <;> rfl
theorem isRight_congr (h : LiftRel r s x y) : x.isRight ↔ y.isRight := by cases h <;> rfl
theorem isLeft_left (h : LiftRel r s x (inl c)) : x.isLeft := by cases h; rfl
theorem isLeft_right (h : LiftRel r s (inl a) y) : y.isLeft := by cases h; rfl
theorem isRight_left (h : LiftRel r s x (inr d)) : x.isRight := by cases h; rfl
theorem isRight_right (h : LiftRel r s (inr b) y) : y.isRight := by cases h; rfl
theorem exists_of_isLeft_left (h₁ : LiftRel r s x y) (h₂ : x.isLeft) :
∃ a c, r a c ∧ x = inl a ∧ y = inl c := by
rcases isLeft_iff.mp h₂ with ⟨_, rfl⟩
simp only [liftRel_iff, false_and, and_false, exists_false, or_false] at h₁
exact h₁
theorem exists_of_isLeft_right (h₁ : LiftRel r s x y) (h₂ : y.isLeft) :
∃ a c, r a c ∧ x = inl a ∧ y = inl c := exists_of_isLeft_left h₁ ((isLeft_congr h₁).mpr h₂)
theorem exists_of_isRight_left (h₁ : LiftRel r s x y) (h₂ : x.isRight) :
∃ b d, s b d ∧ x = inr b ∧ y = inr d := by
rcases isRight_iff.mp h₂ with ⟨_, rfl⟩
simp only [liftRel_iff, false_and, and_false, exists_false, false_or] at h₁
exact h₁
theorem exists_of_isRight_right (h₁ : LiftRel r s x y) (h₂ : y.isRight) :
∃ b d, s b d ∧ x = inr b ∧ y = inr d :=
exists_of_isRight_left h₁ ((isRight_congr h₁).mpr h₂)
end LiftRel
section Lex
#align sum.lex.inl Sum.Lex.inl
#align sum.lex.inr Sum.Lex.inr
#align sum.lex.sep Sum.Lex.sep
#align sum.lex Sum.Lex
#align sum.lex_inl_inl Sum.lex_inl_inl
#align sum.lex_inr_inr Sum.lex_inr_inr
#align sum.lex_inr_inl Sum.lex_inr_inl
#align sum.lift_rel.lex Sum.LiftRel.lex
#align sum.lift_rel_subrelation_lex Sum.liftRel_subrelation_lex
#align sum.lex.mono_left Sum.Lex.mono_left
#align sum.lex.mono_right Sum.Lex.mono_right
#align sum.lex_acc_inl Sum.lex_acc_inl
#align sum.lex_acc_inr Sum.lex_acc_inr
#align sum.lex_wf Sum.lex_wf
end Lex
end Sum
open Sum
namespace Function
theorem Injective.sum_elim {f : α → γ} {g : β → γ} (hf : Injective f) (hg : Injective g)
(hfg : ∀ a b, f a ≠ g b) : Injective (Sum.elim f g)
| inl _, inl _, h => congr_arg inl <| hf h
| inl _, inr _, h => (hfg _ _ h).elim
| inr _, inl _, h => (hfg _ _ h.symm).elim
| inr _, inr _, h => congr_arg inr <| hg h
#align function.injective.sum_elim Function.Injective.sum_elim
theorem Injective.sum_map {f : α → β} {g : α' → β'} (hf : Injective f) (hg : Injective g) :
Injective (Sum.map f g)
| inl _, inl _, h => congr_arg inl <| hf <| inl.inj h
| inr _, inr _, h => congr_arg inr <| hg <| inr.inj h
#align function.injective.sum_map Function.Injective.sum_map
theorem Surjective.sum_map {f : α → β} {g : α' → β'} (hf : Surjective f) (hg : Surjective g) :
Surjective (Sum.map f g)
| inl y =>
let ⟨x, hx⟩ := hf y
⟨inl x, congr_arg inl hx⟩
| inr y =>
let ⟨x, hx⟩ := hg y
⟨inr x, congr_arg inr hx⟩
#align function.surjective.sum_map Function.Surjective.sum_map
theorem Bijective.sum_map {f : α → β} {g : α' → β'} (hf : Bijective f) (hg : Bijective g) :
Bijective (Sum.map f g) :=
⟨hf.injective.sum_map hg.injective, hf.surjective.sum_map hg.surjective⟩
#align function.bijective.sum_map Function.Bijective.sum_map
end Function
namespace Sum
open Function
@[simp]
theorem map_injective {f : α → γ} {g : β → δ} :
Injective (Sum.map f g) ↔ Injective f ∧ Injective g :=
⟨fun h =>
⟨fun a₁ a₂ ha => inl_injective <| @h (inl a₁) (inl a₂) (congr_arg inl ha : _), fun b₁ b₂ hb =>
inr_injective <| @h (inr b₁) (inr b₂) (congr_arg inr hb : _)⟩,
fun h => h.1.sum_map h.2⟩
#align sum.map_injective Sum.map_injective
@[simp]
theorem map_surjective {f : α → γ} {g : β → δ} :
Surjective (Sum.map f g) ↔ Surjective f ∧ Surjective g :=
⟨ fun h => ⟨
(fun c => by
obtain ⟨a | b, h⟩ := h (inl c)
· exact ⟨a, inl_injective h⟩
· cases h),
(fun d => by
obtain ⟨a | b, h⟩ := h (inr d)
· cases h
· exact ⟨b, inr_injective h⟩)⟩,
fun h => h.1.sum_map h.2⟩
#align sum.map_surjective Sum.map_surjective
@[simp]
theorem map_bijective {f : α → γ} {g : β → δ} :
Bijective (Sum.map f g) ↔ Bijective f ∧ Bijective g :=
(map_injective.and map_surjective).trans <| and_and_and_comm
#align sum.map_bijective Sum.map_bijective
#align sum.elim_const_const Sum.elim_const_const
#align sum.elim_lam_const_lam_const Sum.elim_lam_const_lam_const
| Mathlib/Data/Sum/Basic.lean | 332 | 340 | theorem elim_update_left [DecidableEq α] [DecidableEq β] (f : α → γ) (g : β → γ) (i : α) (c : γ) :
Sum.elim (Function.update f i c) g = Function.update (Sum.elim f g) (inl i) c := by |
ext x
rcases x with x | x
· by_cases h : x = i
· subst h
simp
· simp [h]
· simp
|
/-
Copyright (c) 2021 Scott Morrison. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Riccardo Brasca, Johan Commelin, Scott Morrison
-/
import Mathlib.Analysis.Normed.Group.SemiNormedGroupCat
import Mathlib.Analysis.Normed.Group.Quotient
import Mathlib.CategoryTheory.Limits.Shapes.Kernels
#align_import analysis.normed.group.SemiNormedGroup.kernels from "leanprover-community/mathlib"@"17ef379e997badd73e5eabb4d38f11919ab3c4b3"
/-!
# Kernels and cokernels in SemiNormedGroupCat₁ and SemiNormedGroupCat
We show that `SemiNormedGroupCat₁` has cokernels
(for which of course the `cokernel.π f` maps are norm non-increasing),
as well as the easier result that `SemiNormedGroupCat` has cokernels. We also show that
`SemiNormedGroupCat` has kernels.
So far, I don't see a way to state nicely what we really want:
`SemiNormedGroupCat` has cokernels, and `cokernel.π f` is norm non-increasing.
The problem is that the limits API doesn't promise you any particular model of the cokernel,
and in `SemiNormedGroupCat` one can always take a cokernel and rescale its norm
(and hence making `cokernel.π f` arbitrarily large in norm), obtaining another categorical cokernel.
-/
open CategoryTheory CategoryTheory.Limits
universe u
namespace SemiNormedGroupCat₁
noncomputable section
/-- Auxiliary definition for `HasCokernels SemiNormedGroupCat₁`. -/
def cokernelCocone {X Y : SemiNormedGroupCat₁.{u}} (f : X ⟶ Y) : Cofork f 0 :=
Cofork.ofπ
(@SemiNormedGroupCat₁.mkHom _ (SemiNormedGroupCat.of (Y ⧸ NormedAddGroupHom.range f.1))
f.1.range.normedMk (NormedAddGroupHom.isQuotientQuotient _).norm_le)
(by
ext x
-- Porting note(https://github.com/leanprover-community/mathlib4/issues/5026): was
-- simp only [comp_apply, Limits.zero_comp, NormedAddGroupHom.zero_apply,
-- SemiNormedGroupCat₁.mkHom_apply, SemiNormedGroupCat₁.zero_apply,
-- ← NormedAddGroupHom.mem_ker, f.1.range.ker_normedMk, f.1.mem_range]
-- This used to be `rw`, but we need `erw` after leanprover/lean4#2644
erw [Limits.zero_comp, comp_apply, SemiNormedGroupCat₁.mkHom_apply,
SemiNormedGroupCat₁.zero_apply, ← NormedAddGroupHom.mem_ker, f.1.range.ker_normedMk,
f.1.mem_range]
use x
rfl)
set_option linter.uppercaseLean3 false in
#align SemiNormedGroup₁.cokernel_cocone SemiNormedGroupCat₁.cokernelCocone
/-- Auxiliary definition for `HasCokernels SemiNormedGroupCat₁`. -/
def cokernelLift {X Y : SemiNormedGroupCat₁.{u}} (f : X ⟶ Y) (s : CokernelCofork f) :
(cokernelCocone f).pt ⟶ s.pt := by
fconstructor
-- The lift itself:
· apply NormedAddGroupHom.lift _ s.π.1
rintro _ ⟨b, rfl⟩
change (f ≫ s.π) b = 0
simp
-- This used to be the end of the proof before leanprover/lean4#2644
erw [zero_apply]
-- The lift has norm at most one:
exact NormedAddGroupHom.lift_normNoninc _ _ _ s.π.2
set_option linter.uppercaseLean3 false in
#align SemiNormedGroup₁.cokernel_lift SemiNormedGroupCat₁.cokernelLift
instance : HasCokernels SemiNormedGroupCat₁.{u} where
has_colimit f :=
HasColimit.mk
{ cocone := cokernelCocone f
isColimit :=
isColimitAux _ (cokernelLift f)
(fun s => by
ext
apply NormedAddGroupHom.lift_mk f.1.range
rintro _ ⟨b, rfl⟩
change (f ≫ s.π) b = 0
simp
-- This used to be the end of the proof before leanprover/lean4#2644
erw [zero_apply])
fun s m w =>
Subtype.eq
(NormedAddGroupHom.lift_unique f.1.range _ _ _ (congr_arg Subtype.val w : _)) }
-- Sanity check
example : HasCokernels SemiNormedGroupCat₁ := by infer_instance
end
end SemiNormedGroupCat₁
namespace SemiNormedGroupCat
section EqualizersAndKernels
-- Porting note: these weren't needed in Lean 3
instance {V W : SemiNormedGroupCat.{u}} : Sub (V ⟶ W) :=
(inferInstance : Sub (NormedAddGroupHom V W))
noncomputable instance {V W : SemiNormedGroupCat.{u}} : Norm (V ⟶ W) :=
(inferInstance : Norm (NormedAddGroupHom V W))
noncomputable instance {V W : SemiNormedGroupCat.{u}} : NNNorm (V ⟶ W) :=
(inferInstance : NNNorm (NormedAddGroupHom V W))
/-- The equalizer cone for a parallel pair of morphisms of seminormed groups. -/
def fork {V W : SemiNormedGroupCat.{u}} (f g : V ⟶ W) : Fork f g :=
@Fork.ofι _ _ _ _ _ _ (of (f - g : NormedAddGroupHom V W).ker)
(NormedAddGroupHom.incl (f - g).ker) <| by
-- Porting note: not needed in mathlib3
change NormedAddGroupHom V W at f g
ext v
have : v.1 ∈ (f - g).ker := v.2
simpa only [NormedAddGroupHom.incl_apply, Pi.zero_apply, coe_comp, NormedAddGroupHom.coe_zero,
NormedAddGroupHom.mem_ker, NormedAddGroupHom.coe_sub, Pi.sub_apply,
sub_eq_zero] using this
set_option linter.uppercaseLean3 false in
#align SemiNormedGroup.fork SemiNormedGroupCat.fork
instance hasLimit_parallelPair {V W : SemiNormedGroupCat.{u}} (f g : V ⟶ W) :
HasLimit (parallelPair f g) where
exists_limit :=
Nonempty.intro
{ cone := fork f g
isLimit :=
Fork.IsLimit.mk _
(fun c =>
NormedAddGroupHom.ker.lift (Fork.ι c) _ <|
show NormedAddGroupHom.compHom (f - g) c.ι = 0 by
rw [AddMonoidHom.map_sub, AddMonoidHom.sub_apply, sub_eq_zero]; exact c.condition)
(fun c => NormedAddGroupHom.ker.incl_comp_lift _ _ _) fun c g h => by
-- Porting note: the `simp_rw` was was `rw [← h]` but motive is not type correct in mathlib4
ext x; dsimp; simp_rw [← h]; rfl}
set_option linter.uppercaseLean3 false in
#align SemiNormedGroup.has_limit_parallel_pair SemiNormedGroupCat.hasLimit_parallelPair
instance : Limits.HasEqualizers.{u, u + 1} SemiNormedGroupCat :=
@hasEqualizers_of_hasLimit_parallelPair SemiNormedGroupCat _ fun {_ _ f g} =>
SemiNormedGroupCat.hasLimit_parallelPair f g
end EqualizersAndKernels
section Cokernel
-- PROJECT: can we reuse the work to construct cokernels in `SemiNormedGroupCat₁` here?
-- I don't see a way to do this that is less work than just repeating the relevant parts.
/-- Auxiliary definition for `HasCokernels SemiNormedGroupCat`. -/
noncomputable
def cokernelCocone {X Y : SemiNormedGroupCat.{u}} (f : X ⟶ Y) : Cofork f 0 :=
@Cofork.ofπ _ _ _ _ _ _ (SemiNormedGroupCat.of (Y ⧸ NormedAddGroupHom.range f)) f.range.normedMk
(by
ext a
simp only [comp_apply, Limits.zero_comp]
-- Porting note: `simp` not firing on the below
-- This used to be `rw`, but we need `erw` after leanprover/lean4#2644
erw [comp_apply, NormedAddGroupHom.zero_apply]
-- Porting note: Lean 3 didn't need this instance
letI : SeminormedAddCommGroup ((forget SemiNormedGroupCat).obj Y) :=
(inferInstance : SeminormedAddCommGroup Y)
-- Porting note: again simp doesn't seem to be firing in the below line
-- This used to be `rw`, but we need `erw` after leanprover/lean4#2644
erw [← NormedAddGroupHom.mem_ker, f.range.ker_normedMk, f.mem_range]
-- This used to be `simp only [exists_apply_eq_apply]` before leanprover/lean4#2644
convert exists_apply_eq_apply f a)
set_option linter.uppercaseLean3 false in
#align SemiNormedGroup.cokernel_cocone SemiNormedGroupCat.cokernelCocone
/-- Auxiliary definition for `HasCokernels SemiNormedGroupCat`. -/
noncomputable
def cokernelLift {X Y : SemiNormedGroupCat.{u}} (f : X ⟶ Y) (s : CokernelCofork f) :
(cokernelCocone f).pt ⟶ s.pt :=
NormedAddGroupHom.lift _ s.π
(by
rintro _ ⟨b, rfl⟩
change (f ≫ s.π) b = 0
simp
-- This used to be the end of the proof before leanprover/lean4#2644
erw [zero_apply])
set_option linter.uppercaseLean3 false in
#align SemiNormedGroup.cokernel_lift SemiNormedGroupCat.cokernelLift
/-- Auxiliary definition for `HasCokernels SemiNormedGroupCat`. -/
noncomputable
def isColimitCokernelCocone {X Y : SemiNormedGroupCat.{u}} (f : X ⟶ Y) :
IsColimit (cokernelCocone f) :=
isColimitAux _ (cokernelLift f)
(fun s => by
ext
apply NormedAddGroupHom.lift_mk f.range
rintro _ ⟨b, rfl⟩
change (f ≫ s.π) b = 0
simp
-- This used to be the end of the proof before leanprover/lean4#2644
erw [zero_apply])
fun s m w => NormedAddGroupHom.lift_unique f.range _ _ _ w
set_option linter.uppercaseLean3 false in
#align SemiNormedGroup.is_colimit_cokernel_cocone SemiNormedGroupCat.isColimitCokernelCocone
instance : HasCokernels SemiNormedGroupCat.{u} where
has_colimit f :=
HasColimit.mk
{ cocone := cokernelCocone f
isColimit := isColimitCokernelCocone f }
-- Sanity check
example : HasCokernels SemiNormedGroupCat := by infer_instance
section ExplicitCokernel
/-- An explicit choice of cokernel, which has good properties with respect to the norm. -/
noncomputable
def explicitCokernel {X Y : SemiNormedGroupCat.{u}} (f : X ⟶ Y) : SemiNormedGroupCat.{u} :=
(cokernelCocone f).pt
set_option linter.uppercaseLean3 false in
#align SemiNormedGroup.explicit_cokernel SemiNormedGroupCat.explicitCokernel
/-- Descend to the explicit cokernel. -/
noncomputable
def explicitCokernelDesc {X Y Z : SemiNormedGroupCat.{u}} {f : X ⟶ Y} {g : Y ⟶ Z} (w : f ≫ g = 0) :
explicitCokernel f ⟶ Z :=
(isColimitCokernelCocone f).desc (Cofork.ofπ g (by simp [w]))
set_option linter.uppercaseLean3 false in
#align SemiNormedGroup.explicit_cokernel_desc SemiNormedGroupCat.explicitCokernelDesc
/-- The projection from `Y` to the explicit cokernel of `X ⟶ Y`. -/
noncomputable
def explicitCokernelπ {X Y : SemiNormedGroupCat.{u}} (f : X ⟶ Y) : Y ⟶ explicitCokernel f :=
(cokernelCocone f).ι.app WalkingParallelPair.one
set_option linter.uppercaseLean3 false in
#align SemiNormedGroup.explicit_cokernel_π SemiNormedGroupCat.explicitCokernelπ
theorem explicitCokernelπ_surjective {X Y : SemiNormedGroupCat.{u}} {f : X ⟶ Y} :
Function.Surjective (explicitCokernelπ f) :=
surjective_quot_mk _
set_option linter.uppercaseLean3 false in
#align SemiNormedGroup.explicit_cokernel_π_surjective SemiNormedGroupCat.explicitCokernelπ_surjective
@[simp, reassoc]
theorem comp_explicitCokernelπ {X Y : SemiNormedGroupCat.{u}} (f : X ⟶ Y) :
f ≫ explicitCokernelπ f = 0 := by
convert (cokernelCocone f).w WalkingParallelPairHom.left
simp
set_option linter.uppercaseLean3 false in
#align SemiNormedGroup.comp_explicit_cokernel_π SemiNormedGroupCat.comp_explicitCokernelπ
-- Porting note: wasn't necessary in Lean 3. Is this a bug?
attribute [simp] comp_explicitCokernelπ_assoc
@[simp]
theorem explicitCokernelπ_apply_dom_eq_zero {X Y : SemiNormedGroupCat.{u}} {f : X ⟶ Y} (x : X) :
(explicitCokernelπ f) (f x) = 0 :=
show (f ≫ explicitCokernelπ f) x = 0 by rw [comp_explicitCokernelπ]; rfl
set_option linter.uppercaseLean3 false in
#align SemiNormedGroup.explicit_cokernel_π_apply_dom_eq_zero SemiNormedGroupCat.explicitCokernelπ_apply_dom_eq_zero
@[simp, reassoc]
theorem explicitCokernelπ_desc {X Y Z : SemiNormedGroupCat.{u}} {f : X ⟶ Y} {g : Y ⟶ Z}
(w : f ≫ g = 0) : explicitCokernelπ f ≫ explicitCokernelDesc w = g :=
(isColimitCokernelCocone f).fac _ _
set_option linter.uppercaseLean3 false in
#align SemiNormedGroup.explicit_cokernel_π_desc SemiNormedGroupCat.explicitCokernelπ_desc
@[simp]
theorem explicitCokernelπ_desc_apply {X Y Z : SemiNormedGroupCat.{u}} {f : X ⟶ Y} {g : Y ⟶ Z}
{cond : f ≫ g = 0} (x : Y) : explicitCokernelDesc cond (explicitCokernelπ f x) = g x :=
show (explicitCokernelπ f ≫ explicitCokernelDesc cond) x = g x by rw [explicitCokernelπ_desc]
set_option linter.uppercaseLean3 false in
#align SemiNormedGroup.explicit_cokernel_π_desc_apply SemiNormedGroupCat.explicitCokernelπ_desc_apply
theorem explicitCokernelDesc_unique {X Y Z : SemiNormedGroupCat.{u}} {f : X ⟶ Y} {g : Y ⟶ Z}
(w : f ≫ g = 0) (e : explicitCokernel f ⟶ Z) (he : explicitCokernelπ f ≫ e = g) :
e = explicitCokernelDesc w := by
apply (isColimitCokernelCocone f).uniq (Cofork.ofπ g (by simp [w]))
rintro (_ | _)
· convert w.symm
simp
· exact he
set_option linter.uppercaseLean3 false in
#align SemiNormedGroup.explicit_cokernel_desc_unique SemiNormedGroupCat.explicitCokernelDesc_unique
theorem explicitCokernelDesc_comp_eq_desc {X Y Z W : SemiNormedGroupCat.{u}} {f : X ⟶ Y} {g : Y ⟶ Z}
-- Porting note: renamed `cond` to `cond'` to avoid
-- failed to rewrite using equation theorems for 'cond'
{h : Z ⟶ W} {cond' : f ≫ g = 0} :
explicitCokernelDesc cond' ≫ h =
explicitCokernelDesc
(show f ≫ g ≫ h = 0 by rw [← CategoryTheory.Category.assoc, cond', Limits.zero_comp]) := by
refine explicitCokernelDesc_unique _ _ ?_
rw [← CategoryTheory.Category.assoc, explicitCokernelπ_desc]
set_option linter.uppercaseLean3 false in
#align SemiNormedGroup.explicit_cokernel_desc_comp_eq_desc SemiNormedGroupCat.explicitCokernelDesc_comp_eq_desc
@[simp]
theorem explicitCokernelDesc_zero {X Y Z : SemiNormedGroupCat.{u}} {f : X ⟶ Y} :
explicitCokernelDesc (show f ≫ (0 : Y ⟶ Z) = 0 from CategoryTheory.Limits.comp_zero) = 0 :=
Eq.symm <| explicitCokernelDesc_unique _ _ CategoryTheory.Limits.comp_zero
set_option linter.uppercaseLean3 false in
#align SemiNormedGroup.explicit_cokernel_desc_zero SemiNormedGroupCat.explicitCokernelDesc_zero
@[ext]
theorem explicitCokernel_hom_ext {X Y Z : SemiNormedGroupCat.{u}} {f : X ⟶ Y}
(e₁ e₂ : explicitCokernel f ⟶ Z) (h : explicitCokernelπ f ≫ e₁ = explicitCokernelπ f ≫ e₂) :
e₁ = e₂ := by
let g : Y ⟶ Z := explicitCokernelπ f ≫ e₂
have w : f ≫ g = 0 := by simp [g]
have : e₂ = explicitCokernelDesc w := by apply explicitCokernelDesc_unique; rfl
rw [this]
apply explicitCokernelDesc_unique
exact h
set_option linter.uppercaseLean3 false in
#align SemiNormedGroup.explicit_cokernel_hom_ext SemiNormedGroupCat.explicitCokernel_hom_ext
instance explicitCokernelπ.epi {X Y : SemiNormedGroupCat.{u}} {f : X ⟶ Y} :
Epi (explicitCokernelπ f) := by
constructor
intro Z g h H
ext x
-- Porting note: no longer needed
-- obtain ⟨x, hx⟩ := explicitCokernelπ_surjective (explicitCokernelπ f x)
-- change (explicitCokernelπ f ≫ g) _ = _
rw [H]
set_option linter.uppercaseLean3 false in
#align SemiNormedGroup.explicit_cokernel_π.epi SemiNormedGroupCat.explicitCokernelπ.epi
theorem isQuotient_explicitCokernelπ {X Y : SemiNormedGroupCat.{u}} (f : X ⟶ Y) :
NormedAddGroupHom.IsQuotient (explicitCokernelπ f) :=
NormedAddGroupHom.isQuotientQuotient _
set_option linter.uppercaseLean3 false in
#align SemiNormedGroup.is_quotient_explicit_cokernel_π SemiNormedGroupCat.isQuotient_explicitCokernelπ
theorem normNoninc_explicitCokernelπ {X Y : SemiNormedGroupCat.{u}} (f : X ⟶ Y) :
(explicitCokernelπ f).NormNoninc :=
(isQuotient_explicitCokernelπ f).norm_le
set_option linter.uppercaseLean3 false in
#align SemiNormedGroup.norm_noninc_explicit_cokernel_π SemiNormedGroupCat.normNoninc_explicitCokernelπ
open scoped NNReal
theorem explicitCokernelDesc_norm_le_of_norm_le {X Y Z : SemiNormedGroupCat.{u}} {f : X ⟶ Y}
{g : Y ⟶ Z} (w : f ≫ g = 0) (c : ℝ≥0) (h : ‖g‖ ≤ c) : ‖explicitCokernelDesc w‖ ≤ c :=
NormedAddGroupHom.lift_norm_le _ _ _ h
set_option linter.uppercaseLean3 false in
#align SemiNormedGroup.explicit_cokernel_desc_norm_le_of_norm_le SemiNormedGroupCat.explicitCokernelDesc_norm_le_of_norm_le
theorem explicitCokernelDesc_normNoninc {X Y Z : SemiNormedGroupCat.{u}} {f : X ⟶ Y} {g : Y ⟶ Z}
{cond : f ≫ g = 0} (hg : g.NormNoninc) : (explicitCokernelDesc cond).NormNoninc := by
refine NormedAddGroupHom.NormNoninc.normNoninc_iff_norm_le_one.2 ?_
rw [← NNReal.coe_one]
exact
explicitCokernelDesc_norm_le_of_norm_le cond 1
(NormedAddGroupHom.NormNoninc.normNoninc_iff_norm_le_one.1 hg)
set_option linter.uppercaseLean3 false in
#align SemiNormedGroup.explicit_cokernel_desc_norm_noninc SemiNormedGroupCat.explicitCokernelDesc_normNoninc
theorem explicitCokernelDesc_comp_eq_zero {X Y Z W : SemiNormedGroupCat.{u}} {f : X ⟶ Y} {g : Y ⟶ Z}
{h : Z ⟶ W} (cond : f ≫ g = 0) (cond2 : g ≫ h = 0) : explicitCokernelDesc cond ≫ h = 0 := by
rw [← cancel_epi (explicitCokernelπ f), ← Category.assoc, explicitCokernelπ_desc]
simp [cond2]
set_option linter.uppercaseLean3 false in
#align SemiNormedGroup.explicit_cokernel_desc_comp_eq_zero SemiNormedGroupCat.explicitCokernelDesc_comp_eq_zero
theorem explicitCokernelDesc_norm_le {X Y Z : SemiNormedGroupCat.{u}} {f : X ⟶ Y} {g : Y ⟶ Z}
(w : f ≫ g = 0) : ‖explicitCokernelDesc w‖ ≤ ‖g‖ :=
explicitCokernelDesc_norm_le_of_norm_le w ‖g‖₊ le_rfl
set_option linter.uppercaseLean3 false in
#align SemiNormedGroup.explicit_cokernel_desc_norm_le SemiNormedGroupCat.explicitCokernelDesc_norm_le
/-- The explicit cokernel is isomorphic to the usual cokernel. -/
noncomputable
def explicitCokernelIso {X Y : SemiNormedGroupCat.{u}} (f : X ⟶ Y) :
explicitCokernel f ≅ cokernel f :=
(isColimitCokernelCocone f).coconePointUniqueUpToIso (colimit.isColimit _)
set_option linter.uppercaseLean3 false in
#align SemiNormedGroup.explicit_cokernel_iso SemiNormedGroupCat.explicitCokernelIso
@[simp]
theorem explicitCokernelIso_hom_π {X Y : SemiNormedGroupCat.{u}} (f : X ⟶ Y) :
explicitCokernelπ f ≫ (explicitCokernelIso f).hom = cokernel.π _ := by
simp [explicitCokernelπ, explicitCokernelIso, IsColimit.coconePointUniqueUpToIso]
set_option linter.uppercaseLean3 false in
#align SemiNormedGroup.explicit_cokernel_iso_hom_π SemiNormedGroupCat.explicitCokernelIso_hom_π
@[simp]
theorem explicitCokernelIso_inv_π {X Y : SemiNormedGroupCat.{u}} (f : X ⟶ Y) :
cokernel.π f ≫ (explicitCokernelIso f).inv = explicitCokernelπ f := by
simp [explicitCokernelπ, explicitCokernelIso]
set_option linter.uppercaseLean3 false in
#align SemiNormedGroup.explicit_cokernel_iso_inv_π SemiNormedGroupCat.explicitCokernelIso_inv_π
@[simp]
theorem explicitCokernelIso_hom_desc {X Y Z : SemiNormedGroupCat.{u}} {f : X ⟶ Y} {g : Y ⟶ Z}
(w : f ≫ g = 0) :
(explicitCokernelIso f).hom ≫ cokernel.desc f g w = explicitCokernelDesc w := by
ext1
simp [explicitCokernelDesc, explicitCokernelπ, explicitCokernelIso,
IsColimit.coconePointUniqueUpToIso]
set_option linter.uppercaseLean3 false in
#align SemiNormedGroup.explicit_cokernel_iso_hom_desc SemiNormedGroupCat.explicitCokernelIso_hom_desc
/-- A special case of `CategoryTheory.Limits.cokernel.map` adapted to `explicitCokernel`. -/
noncomputable def explicitCokernel.map {A B C D : SemiNormedGroupCat.{u}}
{fab : A ⟶ B} {fbd : B ⟶ D} {fac : A ⟶ C} {fcd : C ⟶ D} (h : fab ≫ fbd = fac ≫ fcd) :
explicitCokernel fab ⟶ explicitCokernel fcd :=
@explicitCokernelDesc _ _ _ fab (fbd ≫ explicitCokernelπ _) <| by simp [reassoc_of% h]
set_option linter.uppercaseLean3 false in
#align SemiNormedGroup.explicit_cokernel.map SemiNormedGroupCat.explicitCokernel.map
/-- A special case of `CategoryTheory.Limits.cokernel.map_desc` adapted to `explicitCokernel`. -/
| Mathlib/Analysis/Normed/Group/SemiNormedGroupCat/Kernels.lean | 412 | 419 | theorem ExplicitCoker.map_desc {A B C D B' D' : SemiNormedGroupCat.{u}}
{fab : A ⟶ B} {fbd : B ⟶ D} {fac : A ⟶ C} {fcd : C ⟶ D} {h : fab ≫ fbd = fac ≫ fcd}
{fbb' : B ⟶ B'} {fdd' : D ⟶ D'} {condb : fab ≫ fbb' = 0} {condd : fcd ≫ fdd' = 0} {g : B' ⟶ D'}
(h' : fbb' ≫ g = fbd ≫ fdd') :
explicitCokernelDesc condb ≫ g = explicitCokernel.map h ≫ explicitCokernelDesc condd := by |
delta explicitCokernel.map
simp [← cancel_epi (explicitCokernelπ fab), ← Category.assoc, Category.assoc,
explicitCokernelπ_desc, h']
|
/-
Copyright (c) 2020 Kyle Miller. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kyle Miller
-/
import Mathlib.Algebra.Order.Ring.Abs
import Mathlib.Data.ZMod.Basic
#align_import data.zmod.parity from "leanprover-community/mathlib"@"048240e809f04e2bde02482ab44bc230744cc6c9"
/-!
# Relating parity to natural numbers mod 2
This module provides lemmas relating `ZMod 2` to `Even` and `Odd`.
## Tags
parity, zmod, even, odd
-/
namespace ZMod
theorem eq_zero_iff_even {n : ℕ} : (n : ZMod 2) = 0 ↔ Even n :=
(CharP.cast_eq_zero_iff (ZMod 2) 2 n).trans even_iff_two_dvd.symm
#align zmod.eq_zero_iff_even ZMod.eq_zero_iff_even
| Mathlib/Data/ZMod/Parity.lean | 28 | 29 | theorem eq_one_iff_odd {n : ℕ} : (n : ZMod 2) = 1 ↔ Odd n := by |
rw [← @Nat.cast_one (ZMod 2), ZMod.eq_iff_modEq_nat, Nat.odd_iff, Nat.ModEq]
|
/-
Copyright (c) 2023 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov
-/
import Mathlib.Analysis.Calculus.Deriv.Add
import Mathlib.Analysis.Calculus.Deriv.Linear
import Mathlib.LinearAlgebra.AffineSpace.AffineMap
/-!
# Derivatives of affine maps
In this file we prove formulas for one-dimensional derivatives of affine maps `f : 𝕜 →ᵃ[𝕜] E`. We
also specialise some of these results to `AffineMap.lineMap` because it is useful to transfer MVT
from dimension 1 to a domain in higher dimension.
## TODO
Add theorems about `deriv`s and `fderiv`s of `ContinuousAffineMap`s once they will be ported to
Mathlib 4.
## Keywords
affine map, derivative, differentiability
-/
variable {𝕜 : Type*} [NontriviallyNormedField 𝕜]
{E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E]
(f : 𝕜 →ᵃ[𝕜] E) {a b : E} {L : Filter 𝕜} {s : Set 𝕜} {x : 𝕜}
namespace AffineMap
| Mathlib/Analysis/Calculus/Deriv/AffineMap.lean | 32 | 34 | theorem hasStrictDerivAt : HasStrictDerivAt f (f.linear 1) x := by |
rw [f.decomp]
exact f.linear.hasStrictDerivAt.add_const (f 0)
|
/-
Copyright (c) 2017 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro
-/
import Mathlib.Init.Control.Combinators
import Mathlib.Data.Option.Defs
import Mathlib.Logic.IsEmpty
import Mathlib.Logic.Relator
import Mathlib.Util.CompileInductive
import Aesop
#align_import data.option.basic from "leanprover-community/mathlib"@"f340f229b1f461aa1c8ee11e0a172d0a3b301a4a"
/-!
# Option of a type
This file develops the basic theory of option types.
If `α` is a type, then `Option α` can be understood as the type with one more element than `α`.
`Option α` has terms `some a`, where `a : α`, and `none`, which is the added element.
This is useful in multiple ways:
* It is the prototype of addition of terms to a type. See for example `WithBot α` which uses
`none` as an element smaller than all others.
* It can be used to define failsafe partial functions, which return `some the_result_we_expect`
if we can find `the_result_we_expect`, and `none` if there is no meaningful result. This forces
any subsequent use of the partial function to explicitly deal with the exceptions that make it
return `none`.
* `Option` is a monad. We love monads.
`Part` is an alternative to `Option` that can be seen as the type of `True`/`False` values
along with a term `a : α` if the value is `True`.
-/
universe u
namespace Option
variable {α β γ δ : Type*}
theorem coe_def : (fun a ↦ ↑a : α → Option α) = some :=
rfl
#align option.coe_def Option.coe_def
theorem mem_map {f : α → β} {y : β} {o : Option α} : y ∈ o.map f ↔ ∃ x ∈ o, f x = y := by simp
#align option.mem_map Option.mem_map
-- The simpNF linter says that the LHS can be simplified via `Option.mem_def`.
-- However this is a higher priority lemma.
-- https://github.com/leanprover/std4/issues/207
@[simp 1100, nolint simpNF]
theorem mem_map_of_injective {f : α → β} (H : Function.Injective f) {a : α} {o : Option α} :
f a ∈ o.map f ↔ a ∈ o := by
aesop
theorem forall_mem_map {f : α → β} {o : Option α} {p : β → Prop} :
(∀ y ∈ o.map f, p y) ↔ ∀ x ∈ o, p (f x) := by simp
#align option.forall_mem_map Option.forall_mem_map
theorem exists_mem_map {f : α → β} {o : Option α} {p : β → Prop} :
(∃ y ∈ o.map f, p y) ↔ ∃ x ∈ o, p (f x) := by simp
#align option.exists_mem_map Option.exists_mem_map
theorem coe_get {o : Option α} (h : o.isSome) : ((Option.get _ h : α) : Option α) = o :=
Option.some_get h
#align option.coe_get Option.coe_get
theorem eq_of_mem_of_mem {a : α} {o1 o2 : Option α} (h1 : a ∈ o1) (h2 : a ∈ o2) : o1 = o2 :=
h1.trans h2.symm
#align option.eq_of_mem_of_mem Option.eq_of_mem_of_mem
theorem Mem.leftUnique : Relator.LeftUnique ((· ∈ ·) : α → Option α → Prop) :=
fun _ _ _=> mem_unique
#align option.mem.left_unique Option.Mem.leftUnique
theorem some_injective (α : Type*) : Function.Injective (@some α) := fun _ _ ↦ some_inj.mp
#align option.some_injective Option.some_injective
/-- `Option.map f` is injective if `f` is injective. -/
theorem map_injective {f : α → β} (Hf : Function.Injective f) : Function.Injective (Option.map f)
| none, none, _ => rfl
| some a₁, some a₂, H => by rw [Hf (Option.some.inj H)]
#align option.map_injective Option.map_injective
@[simp]
theorem map_comp_some (f : α → β) : Option.map f ∘ some = some ∘ f :=
rfl
#align option.map_comp_some Option.map_comp_some
@[simp]
theorem none_bind' (f : α → Option β) : none.bind f = none :=
rfl
#align option.none_bind' Option.none_bind'
@[simp]
theorem some_bind' (a : α) (f : α → Option β) : (some a).bind f = f a :=
rfl
#align option.some_bind' Option.some_bind'
theorem bind_eq_some' {x : Option α} {f : α → Option β} {b : β} :
x.bind f = some b ↔ ∃ a, x = some a ∧ f a = some b := by
cases x <;> simp
#align option.bind_eq_some' Option.bind_eq_some'
#align option.bind_eq_none' Option.bind_eq_none'
theorem bind_congr {f g : α → Option β} {x : Option α}
(h : ∀ a ∈ x, f a = g a) : x.bind f = x.bind g := by
cases x <;> simp only [some_bind, none_bind, mem_def, h]
@[congr]
theorem bind_congr' {f g : α → Option β} {x y : Option α} (hx : x = y)
(hf : ∀ a ∈ y, f a = g a) : x.bind f = y.bind g :=
hx.symm ▸ bind_congr hf
theorem joinM_eq_join : joinM = @join α :=
funext fun _ ↦ rfl
#align option.join_eq_join Option.joinM_eq_join
theorem bind_eq_bind' {α β : Type u} {f : α → Option β} {x : Option α} : x >>= f = x.bind f :=
rfl
#align option.bind_eq_bind Option.bind_eq_bind'
theorem map_coe {α β} {a : α} {f : α → β} : f <$> (a : Option α) = ↑(f a) :=
rfl
#align option.map_coe Option.map_coe
@[simp]
theorem map_coe' {a : α} {f : α → β} : Option.map f (a : Option α) = ↑(f a) :=
rfl
#align option.map_coe' Option.map_coe'
/-- `Option.map` as a function between functions is injective. -/
theorem map_injective' : Function.Injective (@Option.map α β) := fun f g h ↦
funext fun x ↦ some_injective _ <| by simp only [← map_some', h]
#align option.map_injective' Option.map_injective'
@[simp]
theorem map_inj {f g : α → β} : Option.map f = Option.map g ↔ f = g :=
map_injective'.eq_iff
#align option.map_inj Option.map_inj
attribute [simp] map_id
@[simp]
theorem map_eq_id {f : α → α} : Option.map f = id ↔ f = id :=
map_injective'.eq_iff' map_id
#align option.map_eq_id Option.map_eq_id
theorem map_comm {f₁ : α → β} {f₂ : α → γ} {g₁ : β → δ} {g₂ : γ → δ} (h : g₁ ∘ f₁ = g₂ ∘ f₂)
(a : α) :
(Option.map f₁ a).map g₁ = (Option.map f₂ a).map g₂ := by rw [map_map, h, ← map_map]
#align option.map_comm Option.map_comm
section pmap
variable {p : α → Prop} (f : ∀ a : α, p a → β) (x : Option α)
-- Porting note: Can't simp tag this anymore because `pbind` simplifies
-- @[simp]
theorem pbind_eq_bind (f : α → Option β) (x : Option α) : (x.pbind fun a _ ↦ f a) = x.bind f := by
cases x <;> simp only [pbind, none_bind', some_bind']
#align option.pbind_eq_bind Option.pbind_eq_bind
theorem map_bind {α β γ} (f : β → γ) (x : Option α) (g : α → Option β) :
Option.map f (x >>= g) = x >>= fun a ↦ Option.map f (g a) := by
simp only [← map_eq_map, ← bind_pure_comp, LawfulMonad.bind_assoc]
#align option.map_bind Option.map_bind
theorem map_bind' (f : β → γ) (x : Option α) (g : α → Option β) :
Option.map f (x.bind g) = x.bind fun a ↦ Option.map f (g a) := by cases x <;> simp
#align option.map_bind' Option.map_bind'
theorem map_pbind (f : β → γ) (x : Option α) (g : ∀ a, a ∈ x → Option β) :
Option.map f (x.pbind g) = x.pbind fun a H ↦ Option.map f (g a H) := by
cases x <;> simp only [pbind, map_none']
#align option.map_pbind Option.map_pbind
theorem pbind_map (f : α → β) (x : Option α) (g : ∀ b : β, b ∈ x.map f → Option γ) :
pbind (Option.map f x) g = x.pbind fun a h ↦ g (f a) (mem_map_of_mem _ h) := by cases x <;> rfl
#align option.pbind_map Option.pbind_map
@[simp]
theorem pmap_none (f : ∀ a : α, p a → β) {H} : pmap f (@none α) H = none :=
rfl
#align option.pmap_none Option.pmap_none
@[simp]
theorem pmap_some (f : ∀ a : α, p a → β) {x : α} (h : p x) :
pmap f (some x) = fun _ ↦ some (f x h) :=
rfl
#align option.pmap_some Option.pmap_some
theorem mem_pmem {a : α} (h : ∀ a ∈ x, p a) (ha : a ∈ x) : f a (h a ha) ∈ pmap f x h := by
rw [mem_def] at ha ⊢
subst ha
rfl
#align option.mem_pmem Option.mem_pmem
theorem pmap_map (g : γ → α) (x : Option γ) (H) :
pmap f (x.map g) H = pmap (fun a h ↦ f (g a) h) x fun a h ↦ H _ (mem_map_of_mem _ h) := by
cases x <;> simp only [map_none', map_some', pmap]
#align option.pmap_map Option.pmap_map
theorem map_pmap (g : β → γ) (f : ∀ a, p a → β) (x H) :
Option.map g (pmap f x H) = pmap (fun a h ↦ g (f a h)) x H := by
cases x <;> simp only [map_none', map_some', pmap]
#align option.map_pmap Option.map_pmap
-- Porting note: Can't simp tag this anymore because `pmap` simplifies
-- @[simp]
theorem pmap_eq_map (p : α → Prop) (f : α → β) (x H) :
@pmap _ _ p (fun a _ ↦ f a) x H = Option.map f x := by
cases x <;> simp only [map_none', map_some', pmap]
#align option.pmap_eq_map Option.pmap_eq_map
theorem pmap_bind {α β γ} {x : Option α} {g : α → Option β} {p : β → Prop} {f : ∀ b, p b → γ} (H)
(H' : ∀ (a : α), ∀ b ∈ g a, b ∈ x >>= g) :
pmap f (x >>= g) H = x >>= fun a ↦ pmap f (g a) fun b h ↦ H _ (H' a _ h) := by
cases x <;> simp only [pmap, bind_eq_bind, none_bind, some_bind]
#align option.pmap_bind Option.pmap_bind
theorem bind_pmap {α β γ} {p : α → Prop} (f : ∀ a, p a → β) (x : Option α) (g : β → Option γ) (H) :
pmap f x H >>= g = x.pbind fun a h ↦ g (f a (H _ h)) := by
cases x <;> simp only [pmap, bind_eq_bind, none_bind, some_bind, pbind]
#align option.bind_pmap Option.bind_pmap
variable {f x}
theorem pbind_eq_none {f : ∀ a : α, a ∈ x → Option β}
(h' : ∀ a (H : a ∈ x), f a H = none → x = none) : x.pbind f = none ↔ x = none := by
cases x
· simp
· simp only [pbind, iff_false]
intro h
cases h' _ rfl h
#align option.pbind_eq_none Option.pbind_eq_none
theorem pbind_eq_some {f : ∀ a : α, a ∈ x → Option β} {y : β} :
x.pbind f = some y ↔ ∃ (z : α) (H : z ∈ x), f z H = some y := by
rcases x with (_|x)
· simp only [pbind, false_iff, not_exists]
intro z h
simp at h
· simp only [pbind]
refine ⟨fun h ↦ ⟨x, rfl, h⟩, ?_⟩
rintro ⟨z, H, hz⟩
simp only [mem_def, Option.some_inj] at H
simpa [H] using hz
#align option.pbind_eq_some Option.pbind_eq_some
-- Porting note: Can't simp tag this anymore because `pmap` simplifies
-- @[simp]
theorem pmap_eq_none_iff {h} : pmap f x h = none ↔ x = none := by cases x <;> simp
#align option.pmap_eq_none_iff Option.pmap_eq_none_iff
-- Porting note: Can't simp tag this anymore because `pmap` simplifies
-- @[simp]
theorem pmap_eq_some_iff {hf} {y : β} :
pmap f x hf = some y ↔ ∃ (a : α) (H : x = some a), f a (hf a H) = y := by
rcases x with (_|x)
· simp only [not_mem_none, exists_false, pmap, not_false_iff, exists_prop_of_false]
· constructor
· intro h
simp only [pmap, Option.some_inj] at h
exact ⟨x, rfl, h⟩
· rintro ⟨a, H, rfl⟩
simp only [mem_def, Option.some_inj] at H
simp only [H, pmap]
#align option.pmap_eq_some_iff Option.pmap_eq_some_iff
-- Porting note: Can't simp tag this anymore because `join` and `pmap` simplify
-- @[simp]
theorem join_pmap_eq_pmap_join {f : ∀ a, p a → β} {x : Option (Option α)} (H) :
(pmap (pmap f) x H).join = pmap f x.join fun a h ↦ H (some a) (mem_of_mem_join h) _ rfl := by
rcases x with (_ | _ | x) <;> simp
#align option.join_pmap_eq_pmap_join Option.join_pmap_eq_pmap_join
end pmap
@[simp]
theorem seq_some {α β} {a : α} {f : α → β} : some f <*> some a = some (f a) :=
rfl
#align option.seq_some Option.seq_some
@[simp]
theorem some_orElse' (a : α) (x : Option α) : (some a).orElse (fun _ ↦ x) = some a :=
rfl
#align option.some_orelse' Option.some_orElse'
#align option.some_orelse Option.some_orElse
@[simp]
theorem none_orElse' (x : Option α) : none.orElse (fun _ ↦ x) = x := by cases x <;> rfl
#align option.none_orelse' Option.none_orElse'
#align option.none_orelse Option.none_orElse
@[simp]
theorem orElse_none' (x : Option α) : x.orElse (fun _ ↦ none) = x := by cases x <;> rfl
#align option.orelse_none' Option.orElse_none'
#align option.orelse_none Option.orElse_none
#align option.is_some_none Option.isSome_none
#align option.is_some_some Option.isSome_some
#align option.is_some_iff_exists Option.isSome_iff_exists
#align option.is_none_none Option.isNone_none
#align option.is_none_some Option.isNone_some
#align option.not_is_some Option.not_isSome
#align option.not_is_some_iff_eq_none Option.not_isSome_iff_eq_none
#align option.ne_none_iff_is_some Option.ne_none_iff_isSome
theorem exists_ne_none {p : Option α → Prop} : (∃ x ≠ none, p x) ↔ (∃ x : α, p x) := by
simp only [← exists_prop, bex_ne_none]
@[simp]
theorem isSome_map (f : α → β) (o : Option α) : isSome (o.map f) = isSome o := by
cases o <;> rfl
@[simp]
| Mathlib/Data/Option/Basic.lean | 330 | 332 | theorem get_map (f : α → β) {o : Option α} (h : isSome (o.map f)) :
(o.map f).get h = f (o.get (by rwa [← isSome_map])) := by |
cases o <;> [simp at h; rfl]
|
/-
Copyright (c) 2019 Calle Sönne. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Calle Sönne
-/
import Mathlib.Analysis.SpecialFunctions.Trigonometric.Basic
import Mathlib.Analysis.Normed.Group.AddCircle
import Mathlib.Algebra.CharZero.Quotient
import Mathlib.Topology.Instances.Sign
#align_import analysis.special_functions.trigonometric.angle from "leanprover-community/mathlib"@"213b0cff7bc5ab6696ee07cceec80829ce42efec"
/-!
# The type of angles
In this file we define `Real.Angle` to be the quotient group `ℝ/2πℤ` and prove a few simple lemmas
about trigonometric functions and angles.
-/
open Real
noncomputable section
namespace Real
-- Porting note: can't derive `NormedAddCommGroup, Inhabited`
/-- The type of angles -/
def Angle : Type :=
AddCircle (2 * π)
#align real.angle Real.Angle
namespace Angle
-- Porting note (#10754): added due to missing instances due to no deriving
instance : NormedAddCommGroup Angle :=
inferInstanceAs (NormedAddCommGroup (AddCircle (2 * π)))
-- Porting note (#10754): added due to missing instances due to no deriving
instance : Inhabited Angle :=
inferInstanceAs (Inhabited (AddCircle (2 * π)))
-- Porting note (#10754): added due to missing instances due to no deriving
-- also, without this, a plain `QuotientAddGroup.mk`
-- causes coerced terms to be of type `ℝ ⧸ AddSubgroup.zmultiples (2 * π)`
/-- The canonical map from `ℝ` to the quotient `Angle`. -/
@[coe]
protected def coe (r : ℝ) : Angle := QuotientAddGroup.mk r
instance : Coe ℝ Angle := ⟨Angle.coe⟩
instance : CircularOrder Real.Angle :=
QuotientAddGroup.circularOrder (hp' := ⟨by norm_num [pi_pos]⟩)
@[continuity]
theorem continuous_coe : Continuous ((↑) : ℝ → Angle) :=
continuous_quotient_mk'
#align real.angle.continuous_coe Real.Angle.continuous_coe
/-- Coercion `ℝ → Angle` as an additive homomorphism. -/
def coeHom : ℝ →+ Angle :=
QuotientAddGroup.mk' _
#align real.angle.coe_hom Real.Angle.coeHom
@[simp]
theorem coe_coeHom : (coeHom : ℝ → Angle) = ((↑) : ℝ → Angle) :=
rfl
#align real.angle.coe_coe_hom Real.Angle.coe_coeHom
/-- An induction principle to deduce results for `Angle` from those for `ℝ`, used with
`induction θ using Real.Angle.induction_on`. -/
@[elab_as_elim]
protected theorem induction_on {p : Angle → Prop} (θ : Angle) (h : ∀ x : ℝ, p x) : p θ :=
Quotient.inductionOn' θ h
#align real.angle.induction_on Real.Angle.induction_on
@[simp]
theorem coe_zero : ↑(0 : ℝ) = (0 : Angle) :=
rfl
#align real.angle.coe_zero Real.Angle.coe_zero
@[simp]
theorem coe_add (x y : ℝ) : ↑(x + y : ℝ) = (↑x + ↑y : Angle) :=
rfl
#align real.angle.coe_add Real.Angle.coe_add
@[simp]
theorem coe_neg (x : ℝ) : ↑(-x : ℝ) = -(↑x : Angle) :=
rfl
#align real.angle.coe_neg Real.Angle.coe_neg
@[simp]
theorem coe_sub (x y : ℝ) : ↑(x - y : ℝ) = (↑x - ↑y : Angle) :=
rfl
#align real.angle.coe_sub Real.Angle.coe_sub
theorem coe_nsmul (n : ℕ) (x : ℝ) : ↑(n • x : ℝ) = n • (↑x : Angle) :=
rfl
#align real.angle.coe_nsmul Real.Angle.coe_nsmul
theorem coe_zsmul (z : ℤ) (x : ℝ) : ↑(z • x : ℝ) = z • (↑x : Angle) :=
rfl
#align real.angle.coe_zsmul Real.Angle.coe_zsmul
@[simp, norm_cast]
theorem natCast_mul_eq_nsmul (x : ℝ) (n : ℕ) : ↑((n : ℝ) * x) = n • (↑x : Angle) := by
simpa only [nsmul_eq_mul] using coeHom.map_nsmul x n
#align real.angle.coe_nat_mul_eq_nsmul Real.Angle.natCast_mul_eq_nsmul
@[simp, norm_cast]
theorem intCast_mul_eq_zsmul (x : ℝ) (n : ℤ) : ↑((n : ℝ) * x : ℝ) = n • (↑x : Angle) := by
simpa only [zsmul_eq_mul] using coeHom.map_zsmul x n
#align real.angle.coe_int_mul_eq_zsmul Real.Angle.intCast_mul_eq_zsmul
@[deprecated (since := "2024-05-25")] alias coe_nat_mul_eq_nsmul := natCast_mul_eq_nsmul
@[deprecated (since := "2024-05-25")] alias coe_int_mul_eq_zsmul := intCast_mul_eq_zsmul
theorem angle_eq_iff_two_pi_dvd_sub {ψ θ : ℝ} : (θ : Angle) = ψ ↔ ∃ k : ℤ, θ - ψ = 2 * π * k := by
simp only [QuotientAddGroup.eq, AddSubgroup.zmultiples_eq_closure,
AddSubgroup.mem_closure_singleton, zsmul_eq_mul', (sub_eq_neg_add _ _).symm, eq_comm]
-- Porting note: added `rw`, `simp [Angle.coe, QuotientAddGroup.eq]` doesn't fire otherwise
rw [Angle.coe, Angle.coe, QuotientAddGroup.eq]
simp only [AddSubgroup.zmultiples_eq_closure,
AddSubgroup.mem_closure_singleton, zsmul_eq_mul', (sub_eq_neg_add _ _).symm, eq_comm]
#align real.angle.angle_eq_iff_two_pi_dvd_sub Real.Angle.angle_eq_iff_two_pi_dvd_sub
@[simp]
theorem coe_two_pi : ↑(2 * π : ℝ) = (0 : Angle) :=
angle_eq_iff_two_pi_dvd_sub.2 ⟨1, by rw [sub_zero, Int.cast_one, mul_one]⟩
#align real.angle.coe_two_pi Real.Angle.coe_two_pi
@[simp]
theorem neg_coe_pi : -(π : Angle) = π := by
rw [← coe_neg, angle_eq_iff_two_pi_dvd_sub]
use -1
simp [two_mul, sub_eq_add_neg]
#align real.angle.neg_coe_pi Real.Angle.neg_coe_pi
@[simp]
theorem two_nsmul_coe_div_two (θ : ℝ) : (2 : ℕ) • (↑(θ / 2) : Angle) = θ := by
rw [← coe_nsmul, two_nsmul, add_halves]
#align real.angle.two_nsmul_coe_div_two Real.Angle.two_nsmul_coe_div_two
@[simp]
theorem two_zsmul_coe_div_two (θ : ℝ) : (2 : ℤ) • (↑(θ / 2) : Angle) = θ := by
rw [← coe_zsmul, two_zsmul, add_halves]
#align real.angle.two_zsmul_coe_div_two Real.Angle.two_zsmul_coe_div_two
-- Porting note (#10618): @[simp] can prove it
theorem two_nsmul_neg_pi_div_two : (2 : ℕ) • (↑(-π / 2) : Angle) = π := by
rw [two_nsmul_coe_div_two, coe_neg, neg_coe_pi]
#align real.angle.two_nsmul_neg_pi_div_two Real.Angle.two_nsmul_neg_pi_div_two
-- Porting note (#10618): @[simp] can prove it
theorem two_zsmul_neg_pi_div_two : (2 : ℤ) • (↑(-π / 2) : Angle) = π := by
rw [two_zsmul, ← two_nsmul, two_nsmul_neg_pi_div_two]
#align real.angle.two_zsmul_neg_pi_div_two Real.Angle.two_zsmul_neg_pi_div_two
theorem sub_coe_pi_eq_add_coe_pi (θ : Angle) : θ - π = θ + π := by
rw [sub_eq_add_neg, neg_coe_pi]
#align real.angle.sub_coe_pi_eq_add_coe_pi Real.Angle.sub_coe_pi_eq_add_coe_pi
@[simp]
theorem two_nsmul_coe_pi : (2 : ℕ) • (π : Angle) = 0 := by simp [← natCast_mul_eq_nsmul]
#align real.angle.two_nsmul_coe_pi Real.Angle.two_nsmul_coe_pi
@[simp]
theorem two_zsmul_coe_pi : (2 : ℤ) • (π : Angle) = 0 := by simp [← intCast_mul_eq_zsmul]
#align real.angle.two_zsmul_coe_pi Real.Angle.two_zsmul_coe_pi
@[simp]
theorem coe_pi_add_coe_pi : (π : Real.Angle) + π = 0 := by rw [← two_nsmul, two_nsmul_coe_pi]
#align real.angle.coe_pi_add_coe_pi Real.Angle.coe_pi_add_coe_pi
theorem zsmul_eq_iff {ψ θ : Angle} {z : ℤ} (hz : z ≠ 0) :
z • ψ = z • θ ↔ ∃ k : Fin z.natAbs, ψ = θ + (k : ℕ) • (2 * π / z : ℝ) :=
QuotientAddGroup.zmultiples_zsmul_eq_zsmul_iff hz
#align real.angle.zsmul_eq_iff Real.Angle.zsmul_eq_iff
theorem nsmul_eq_iff {ψ θ : Angle} {n : ℕ} (hz : n ≠ 0) :
n • ψ = n • θ ↔ ∃ k : Fin n, ψ = θ + (k : ℕ) • (2 * π / n : ℝ) :=
QuotientAddGroup.zmultiples_nsmul_eq_nsmul_iff hz
#align real.angle.nsmul_eq_iff Real.Angle.nsmul_eq_iff
theorem two_zsmul_eq_iff {ψ θ : Angle} : (2 : ℤ) • ψ = (2 : ℤ) • θ ↔ ψ = θ ∨ ψ = θ + ↑π := by
-- Porting note: no `Int.natAbs_bit0` anymore
have : Int.natAbs 2 = 2 := rfl
rw [zsmul_eq_iff two_ne_zero, this, Fin.exists_fin_two, Fin.val_zero,
Fin.val_one, zero_smul, add_zero, one_smul, Int.cast_two,
mul_div_cancel_left₀ (_ : ℝ) two_ne_zero]
#align real.angle.two_zsmul_eq_iff Real.Angle.two_zsmul_eq_iff
theorem two_nsmul_eq_iff {ψ θ : Angle} : (2 : ℕ) • ψ = (2 : ℕ) • θ ↔ ψ = θ ∨ ψ = θ + ↑π := by
simp_rw [← natCast_zsmul, Nat.cast_ofNat, two_zsmul_eq_iff]
#align real.angle.two_nsmul_eq_iff Real.Angle.two_nsmul_eq_iff
theorem two_nsmul_eq_zero_iff {θ : Angle} : (2 : ℕ) • θ = 0 ↔ θ = 0 ∨ θ = π := by
convert two_nsmul_eq_iff <;> simp
#align real.angle.two_nsmul_eq_zero_iff Real.Angle.two_nsmul_eq_zero_iff
theorem two_nsmul_ne_zero_iff {θ : Angle} : (2 : ℕ) • θ ≠ 0 ↔ θ ≠ 0 ∧ θ ≠ π := by
rw [← not_or, ← two_nsmul_eq_zero_iff]
#align real.angle.two_nsmul_ne_zero_iff Real.Angle.two_nsmul_ne_zero_iff
theorem two_zsmul_eq_zero_iff {θ : Angle} : (2 : ℤ) • θ = 0 ↔ θ = 0 ∨ θ = π := by
simp_rw [two_zsmul, ← two_nsmul, two_nsmul_eq_zero_iff]
#align real.angle.two_zsmul_eq_zero_iff Real.Angle.two_zsmul_eq_zero_iff
theorem two_zsmul_ne_zero_iff {θ : Angle} : (2 : ℤ) • θ ≠ 0 ↔ θ ≠ 0 ∧ θ ≠ π := by
rw [← not_or, ← two_zsmul_eq_zero_iff]
#align real.angle.two_zsmul_ne_zero_iff Real.Angle.two_zsmul_ne_zero_iff
theorem eq_neg_self_iff {θ : Angle} : θ = -θ ↔ θ = 0 ∨ θ = π := by
rw [← add_eq_zero_iff_eq_neg, ← two_nsmul, two_nsmul_eq_zero_iff]
#align real.angle.eq_neg_self_iff Real.Angle.eq_neg_self_iff
theorem ne_neg_self_iff {θ : Angle} : θ ≠ -θ ↔ θ ≠ 0 ∧ θ ≠ π := by
rw [← not_or, ← eq_neg_self_iff.not]
#align real.angle.ne_neg_self_iff Real.Angle.ne_neg_self_iff
theorem neg_eq_self_iff {θ : Angle} : -θ = θ ↔ θ = 0 ∨ θ = π := by rw [eq_comm, eq_neg_self_iff]
#align real.angle.neg_eq_self_iff Real.Angle.neg_eq_self_iff
theorem neg_ne_self_iff {θ : Angle} : -θ ≠ θ ↔ θ ≠ 0 ∧ θ ≠ π := by
rw [← not_or, ← neg_eq_self_iff.not]
#align real.angle.neg_ne_self_iff Real.Angle.neg_ne_self_iff
theorem two_nsmul_eq_pi_iff {θ : Angle} : (2 : ℕ) • θ = π ↔ θ = (π / 2 : ℝ) ∨ θ = (-π / 2 : ℝ) := by
have h : (π : Angle) = ((2 : ℕ) • (π / 2 : ℝ) :) := by rw [two_nsmul, add_halves]
nth_rw 1 [h]
rw [coe_nsmul, two_nsmul_eq_iff]
-- Porting note: `congr` didn't simplify the goal of iff of `Or`s
convert Iff.rfl
rw [add_comm, ← coe_add, ← sub_eq_zero, ← coe_sub, neg_div, ← neg_sub, sub_neg_eq_add, add_assoc,
add_halves, ← two_mul, coe_neg, coe_two_pi, neg_zero]
#align real.angle.two_nsmul_eq_pi_iff Real.Angle.two_nsmul_eq_pi_iff
theorem two_zsmul_eq_pi_iff {θ : Angle} : (2 : ℤ) • θ = π ↔ θ = (π / 2 : ℝ) ∨ θ = (-π / 2 : ℝ) := by
rw [two_zsmul, ← two_nsmul, two_nsmul_eq_pi_iff]
#align real.angle.two_zsmul_eq_pi_iff Real.Angle.two_zsmul_eq_pi_iff
theorem cos_eq_iff_coe_eq_or_eq_neg {θ ψ : ℝ} :
cos θ = cos ψ ↔ (θ : Angle) = ψ ∨ (θ : Angle) = -ψ := by
constructor
· intro Hcos
rw [← sub_eq_zero, cos_sub_cos, mul_eq_zero, mul_eq_zero, neg_eq_zero,
eq_false (two_ne_zero' ℝ), false_or_iff, sin_eq_zero_iff, sin_eq_zero_iff] at Hcos
rcases Hcos with (⟨n, hn⟩ | ⟨n, hn⟩)
· right
rw [eq_div_iff_mul_eq (two_ne_zero' ℝ), ← sub_eq_iff_eq_add] at hn
rw [← hn, coe_sub, eq_neg_iff_add_eq_zero, sub_add_cancel, mul_assoc, intCast_mul_eq_zsmul,
mul_comm, coe_two_pi, zsmul_zero]
· left
rw [eq_div_iff_mul_eq (two_ne_zero' ℝ), eq_sub_iff_add_eq] at hn
rw [← hn, coe_add, mul_assoc, intCast_mul_eq_zsmul, mul_comm, coe_two_pi, zsmul_zero,
zero_add]
· rw [angle_eq_iff_two_pi_dvd_sub, ← coe_neg, angle_eq_iff_two_pi_dvd_sub]
rintro (⟨k, H⟩ | ⟨k, H⟩)
· rw [← sub_eq_zero, cos_sub_cos, H, mul_assoc 2 π k, mul_div_cancel_left₀ _ (two_ne_zero' ℝ),
mul_comm π _, sin_int_mul_pi, mul_zero]
rw [← sub_eq_zero, cos_sub_cos, ← sub_neg_eq_add, H, mul_assoc 2 π k,
mul_div_cancel_left₀ _ (two_ne_zero' ℝ), mul_comm π _, sin_int_mul_pi, mul_zero,
zero_mul]
#align real.angle.cos_eq_iff_coe_eq_or_eq_neg Real.Angle.cos_eq_iff_coe_eq_or_eq_neg
theorem sin_eq_iff_coe_eq_or_add_eq_pi {θ ψ : ℝ} :
sin θ = sin ψ ↔ (θ : Angle) = ψ ∨ (θ : Angle) + ψ = π := by
constructor
· intro Hsin
rw [← cos_pi_div_two_sub, ← cos_pi_div_two_sub] at Hsin
cases' cos_eq_iff_coe_eq_or_eq_neg.mp Hsin with h h
· left
rw [coe_sub, coe_sub] at h
exact sub_right_inj.1 h
right
rw [coe_sub, coe_sub, eq_neg_iff_add_eq_zero, add_sub, sub_add_eq_add_sub, ← coe_add,
add_halves, sub_sub, sub_eq_zero] at h
exact h.symm
· rw [angle_eq_iff_two_pi_dvd_sub, ← eq_sub_iff_add_eq, ← coe_sub, angle_eq_iff_two_pi_dvd_sub]
rintro (⟨k, H⟩ | ⟨k, H⟩)
· rw [← sub_eq_zero, sin_sub_sin, H, mul_assoc 2 π k, mul_div_cancel_left₀ _ (two_ne_zero' ℝ),
mul_comm π _, sin_int_mul_pi, mul_zero, zero_mul]
have H' : θ + ψ = 2 * k * π + π := by
rwa [← sub_add, sub_add_eq_add_sub, sub_eq_iff_eq_add, mul_assoc, mul_comm π _, ←
mul_assoc] at H
rw [← sub_eq_zero, sin_sub_sin, H', add_div, mul_assoc 2 _ π,
mul_div_cancel_left₀ _ (two_ne_zero' ℝ), cos_add_pi_div_two, sin_int_mul_pi, neg_zero,
mul_zero]
#align real.angle.sin_eq_iff_coe_eq_or_add_eq_pi Real.Angle.sin_eq_iff_coe_eq_or_add_eq_pi
theorem cos_sin_inj {θ ψ : ℝ} (Hcos : cos θ = cos ψ) (Hsin : sin θ = sin ψ) : (θ : Angle) = ψ := by
cases' cos_eq_iff_coe_eq_or_eq_neg.mp Hcos with hc hc; · exact hc
cases' sin_eq_iff_coe_eq_or_add_eq_pi.mp Hsin with hs hs; · exact hs
rw [eq_neg_iff_add_eq_zero, hs] at hc
obtain ⟨n, hn⟩ : ∃ n, n • _ = _ := QuotientAddGroup.leftRel_apply.mp (Quotient.exact' hc)
rw [← neg_one_mul, add_zero, ← sub_eq_zero, zsmul_eq_mul, ← mul_assoc, ← sub_mul, mul_eq_zero,
eq_false (ne_of_gt pi_pos), or_false_iff, sub_neg_eq_add, ← Int.cast_zero, ← Int.cast_one,
← Int.cast_ofNat, ← Int.cast_mul, ← Int.cast_add, Int.cast_inj] at hn
have : (n * 2 + 1) % (2 : ℤ) = 0 % (2 : ℤ) := congr_arg (· % (2 : ℤ)) hn
rw [add_comm, Int.add_mul_emod_self] at this
exact absurd this one_ne_zero
#align real.angle.cos_sin_inj Real.Angle.cos_sin_inj
/-- The sine of a `Real.Angle`. -/
def sin (θ : Angle) : ℝ :=
sin_periodic.lift θ
#align real.angle.sin Real.Angle.sin
@[simp]
theorem sin_coe (x : ℝ) : sin (x : Angle) = Real.sin x :=
rfl
#align real.angle.sin_coe Real.Angle.sin_coe
@[continuity]
theorem continuous_sin : Continuous sin :=
Real.continuous_sin.quotient_liftOn' _
#align real.angle.continuous_sin Real.Angle.continuous_sin
/-- The cosine of a `Real.Angle`. -/
def cos (θ : Angle) : ℝ :=
cos_periodic.lift θ
#align real.angle.cos Real.Angle.cos
@[simp]
theorem cos_coe (x : ℝ) : cos (x : Angle) = Real.cos x :=
rfl
#align real.angle.cos_coe Real.Angle.cos_coe
@[continuity]
theorem continuous_cos : Continuous cos :=
Real.continuous_cos.quotient_liftOn' _
#align real.angle.continuous_cos Real.Angle.continuous_cos
theorem cos_eq_real_cos_iff_eq_or_eq_neg {θ : Angle} {ψ : ℝ} :
cos θ = Real.cos ψ ↔ θ = ψ ∨ θ = -ψ := by
induction θ using Real.Angle.induction_on
exact cos_eq_iff_coe_eq_or_eq_neg
#align real.angle.cos_eq_real_cos_iff_eq_or_eq_neg Real.Angle.cos_eq_real_cos_iff_eq_or_eq_neg
theorem cos_eq_iff_eq_or_eq_neg {θ ψ : Angle} : cos θ = cos ψ ↔ θ = ψ ∨ θ = -ψ := by
induction ψ using Real.Angle.induction_on
exact cos_eq_real_cos_iff_eq_or_eq_neg
#align real.angle.cos_eq_iff_eq_or_eq_neg Real.Angle.cos_eq_iff_eq_or_eq_neg
theorem sin_eq_real_sin_iff_eq_or_add_eq_pi {θ : Angle} {ψ : ℝ} :
sin θ = Real.sin ψ ↔ θ = ψ ∨ θ + ψ = π := by
induction θ using Real.Angle.induction_on
exact sin_eq_iff_coe_eq_or_add_eq_pi
#align real.angle.sin_eq_real_sin_iff_eq_or_add_eq_pi Real.Angle.sin_eq_real_sin_iff_eq_or_add_eq_pi
theorem sin_eq_iff_eq_or_add_eq_pi {θ ψ : Angle} : sin θ = sin ψ ↔ θ = ψ ∨ θ + ψ = π := by
induction ψ using Real.Angle.induction_on
exact sin_eq_real_sin_iff_eq_or_add_eq_pi
#align real.angle.sin_eq_iff_eq_or_add_eq_pi Real.Angle.sin_eq_iff_eq_or_add_eq_pi
@[simp]
theorem sin_zero : sin (0 : Angle) = 0 := by rw [← coe_zero, sin_coe, Real.sin_zero]
#align real.angle.sin_zero Real.Angle.sin_zero
-- Porting note (#10618): @[simp] can prove it
theorem sin_coe_pi : sin (π : Angle) = 0 := by rw [sin_coe, Real.sin_pi]
#align real.angle.sin_coe_pi Real.Angle.sin_coe_pi
theorem sin_eq_zero_iff {θ : Angle} : sin θ = 0 ↔ θ = 0 ∨ θ = π := by
nth_rw 1 [← sin_zero]
rw [sin_eq_iff_eq_or_add_eq_pi]
simp
#align real.angle.sin_eq_zero_iff Real.Angle.sin_eq_zero_iff
theorem sin_ne_zero_iff {θ : Angle} : sin θ ≠ 0 ↔ θ ≠ 0 ∧ θ ≠ π := by
rw [← not_or, ← sin_eq_zero_iff]
#align real.angle.sin_ne_zero_iff Real.Angle.sin_ne_zero_iff
@[simp]
theorem sin_neg (θ : Angle) : sin (-θ) = -sin θ := by
induction θ using Real.Angle.induction_on
exact Real.sin_neg _
#align real.angle.sin_neg Real.Angle.sin_neg
theorem sin_antiperiodic : Function.Antiperiodic sin (π : Angle) := by
intro θ
induction θ using Real.Angle.induction_on
exact Real.sin_antiperiodic _
#align real.angle.sin_antiperiodic Real.Angle.sin_antiperiodic
@[simp]
theorem sin_add_pi (θ : Angle) : sin (θ + π) = -sin θ :=
sin_antiperiodic θ
#align real.angle.sin_add_pi Real.Angle.sin_add_pi
@[simp]
theorem sin_sub_pi (θ : Angle) : sin (θ - π) = -sin θ :=
sin_antiperiodic.sub_eq θ
#align real.angle.sin_sub_pi Real.Angle.sin_sub_pi
@[simp]
theorem cos_zero : cos (0 : Angle) = 1 := by rw [← coe_zero, cos_coe, Real.cos_zero]
#align real.angle.cos_zero Real.Angle.cos_zero
-- Porting note (#10618): @[simp] can prove it
theorem cos_coe_pi : cos (π : Angle) = -1 := by rw [cos_coe, Real.cos_pi]
#align real.angle.cos_coe_pi Real.Angle.cos_coe_pi
@[simp]
theorem cos_neg (θ : Angle) : cos (-θ) = cos θ := by
induction θ using Real.Angle.induction_on
exact Real.cos_neg _
#align real.angle.cos_neg Real.Angle.cos_neg
theorem cos_antiperiodic : Function.Antiperiodic cos (π : Angle) := by
intro θ
induction θ using Real.Angle.induction_on
exact Real.cos_antiperiodic _
#align real.angle.cos_antiperiodic Real.Angle.cos_antiperiodic
@[simp]
theorem cos_add_pi (θ : Angle) : cos (θ + π) = -cos θ :=
cos_antiperiodic θ
#align real.angle.cos_add_pi Real.Angle.cos_add_pi
@[simp]
theorem cos_sub_pi (θ : Angle) : cos (θ - π) = -cos θ :=
cos_antiperiodic.sub_eq θ
#align real.angle.cos_sub_pi Real.Angle.cos_sub_pi
theorem cos_eq_zero_iff {θ : Angle} : cos θ = 0 ↔ θ = (π / 2 : ℝ) ∨ θ = (-π / 2 : ℝ) := by
rw [← cos_pi_div_two, ← cos_coe, cos_eq_iff_eq_or_eq_neg, ← coe_neg, ← neg_div]
#align real.angle.cos_eq_zero_iff Real.Angle.cos_eq_zero_iff
theorem sin_add (θ₁ θ₂ : Real.Angle) : sin (θ₁ + θ₂) = sin θ₁ * cos θ₂ + cos θ₁ * sin θ₂ := by
induction θ₁ using Real.Angle.induction_on
induction θ₂ using Real.Angle.induction_on
exact Real.sin_add _ _
#align real.angle.sin_add Real.Angle.sin_add
theorem cos_add (θ₁ θ₂ : Real.Angle) : cos (θ₁ + θ₂) = cos θ₁ * cos θ₂ - sin θ₁ * sin θ₂ := by
induction θ₂ using Real.Angle.induction_on
induction θ₁ using Real.Angle.induction_on
exact Real.cos_add _ _
#align real.angle.cos_add Real.Angle.cos_add
@[simp]
theorem cos_sq_add_sin_sq (θ : Real.Angle) : cos θ ^ 2 + sin θ ^ 2 = 1 := by
induction θ using Real.Angle.induction_on
exact Real.cos_sq_add_sin_sq _
#align real.angle.cos_sq_add_sin_sq Real.Angle.cos_sq_add_sin_sq
theorem sin_add_pi_div_two (θ : Angle) : sin (θ + ↑(π / 2)) = cos θ := by
induction θ using Real.Angle.induction_on
exact Real.sin_add_pi_div_two _
#align real.angle.sin_add_pi_div_two Real.Angle.sin_add_pi_div_two
theorem sin_sub_pi_div_two (θ : Angle) : sin (θ - ↑(π / 2)) = -cos θ := by
induction θ using Real.Angle.induction_on
exact Real.sin_sub_pi_div_two _
#align real.angle.sin_sub_pi_div_two Real.Angle.sin_sub_pi_div_two
theorem sin_pi_div_two_sub (θ : Angle) : sin (↑(π / 2) - θ) = cos θ := by
induction θ using Real.Angle.induction_on
exact Real.sin_pi_div_two_sub _
#align real.angle.sin_pi_div_two_sub Real.Angle.sin_pi_div_two_sub
theorem cos_add_pi_div_two (θ : Angle) : cos (θ + ↑(π / 2)) = -sin θ := by
induction θ using Real.Angle.induction_on
exact Real.cos_add_pi_div_two _
#align real.angle.cos_add_pi_div_two Real.Angle.cos_add_pi_div_two
theorem cos_sub_pi_div_two (θ : Angle) : cos (θ - ↑(π / 2)) = sin θ := by
induction θ using Real.Angle.induction_on
exact Real.cos_sub_pi_div_two _
#align real.angle.cos_sub_pi_div_two Real.Angle.cos_sub_pi_div_two
theorem cos_pi_div_two_sub (θ : Angle) : cos (↑(π / 2) - θ) = sin θ := by
induction θ using Real.Angle.induction_on
exact Real.cos_pi_div_two_sub _
#align real.angle.cos_pi_div_two_sub Real.Angle.cos_pi_div_two_sub
theorem abs_sin_eq_of_two_nsmul_eq {θ ψ : Angle} (h : (2 : ℕ) • θ = (2 : ℕ) • ψ) :
|sin θ| = |sin ψ| := by
rw [two_nsmul_eq_iff] at h
rcases h with (rfl | rfl)
· rfl
· rw [sin_add_pi, abs_neg]
#align real.angle.abs_sin_eq_of_two_nsmul_eq Real.Angle.abs_sin_eq_of_two_nsmul_eq
theorem abs_sin_eq_of_two_zsmul_eq {θ ψ : Angle} (h : (2 : ℤ) • θ = (2 : ℤ) • ψ) :
|sin θ| = |sin ψ| := by
simp_rw [two_zsmul, ← two_nsmul] at h
exact abs_sin_eq_of_two_nsmul_eq h
#align real.angle.abs_sin_eq_of_two_zsmul_eq Real.Angle.abs_sin_eq_of_two_zsmul_eq
theorem abs_cos_eq_of_two_nsmul_eq {θ ψ : Angle} (h : (2 : ℕ) • θ = (2 : ℕ) • ψ) :
|cos θ| = |cos ψ| := by
rw [two_nsmul_eq_iff] at h
rcases h with (rfl | rfl)
· rfl
· rw [cos_add_pi, abs_neg]
#align real.angle.abs_cos_eq_of_two_nsmul_eq Real.Angle.abs_cos_eq_of_two_nsmul_eq
theorem abs_cos_eq_of_two_zsmul_eq {θ ψ : Angle} (h : (2 : ℤ) • θ = (2 : ℤ) • ψ) :
|cos θ| = |cos ψ| := by
simp_rw [two_zsmul, ← two_nsmul] at h
exact abs_cos_eq_of_two_nsmul_eq h
#align real.angle.abs_cos_eq_of_two_zsmul_eq Real.Angle.abs_cos_eq_of_two_zsmul_eq
@[simp]
theorem coe_toIcoMod (θ ψ : ℝ) : ↑(toIcoMod two_pi_pos ψ θ) = (θ : Angle) := by
rw [angle_eq_iff_two_pi_dvd_sub]
refine ⟨-toIcoDiv two_pi_pos ψ θ, ?_⟩
rw [toIcoMod_sub_self, zsmul_eq_mul, mul_comm]
#align real.angle.coe_to_Ico_mod Real.Angle.coe_toIcoMod
@[simp]
theorem coe_toIocMod (θ ψ : ℝ) : ↑(toIocMod two_pi_pos ψ θ) = (θ : Angle) := by
rw [angle_eq_iff_two_pi_dvd_sub]
refine ⟨-toIocDiv two_pi_pos ψ θ, ?_⟩
rw [toIocMod_sub_self, zsmul_eq_mul, mul_comm]
#align real.angle.coe_to_Ioc_mod Real.Angle.coe_toIocMod
/-- Convert a `Real.Angle` to a real number in the interval `Ioc (-π) π`. -/
def toReal (θ : Angle) : ℝ :=
(toIocMod_periodic two_pi_pos (-π)).lift θ
#align real.angle.to_real Real.Angle.toReal
theorem toReal_coe (θ : ℝ) : (θ : Angle).toReal = toIocMod two_pi_pos (-π) θ :=
rfl
#align real.angle.to_real_coe Real.Angle.toReal_coe
theorem toReal_coe_eq_self_iff {θ : ℝ} : (θ : Angle).toReal = θ ↔ -π < θ ∧ θ ≤ π := by
rw [toReal_coe, toIocMod_eq_self two_pi_pos]
ring_nf
rfl
#align real.angle.to_real_coe_eq_self_iff Real.Angle.toReal_coe_eq_self_iff
theorem toReal_coe_eq_self_iff_mem_Ioc {θ : ℝ} : (θ : Angle).toReal = θ ↔ θ ∈ Set.Ioc (-π) π := by
rw [toReal_coe_eq_self_iff, ← Set.mem_Ioc]
#align real.angle.to_real_coe_eq_self_iff_mem_Ioc Real.Angle.toReal_coe_eq_self_iff_mem_Ioc
theorem toReal_injective : Function.Injective toReal := by
intro θ ψ h
induction θ using Real.Angle.induction_on
induction ψ using Real.Angle.induction_on
simpa [toReal_coe, toIocMod_eq_toIocMod, zsmul_eq_mul, mul_comm _ (2 * π), ←
angle_eq_iff_two_pi_dvd_sub, eq_comm] using h
#align real.angle.to_real_injective Real.Angle.toReal_injective
@[simp]
theorem toReal_inj {θ ψ : Angle} : θ.toReal = ψ.toReal ↔ θ = ψ :=
toReal_injective.eq_iff
#align real.angle.to_real_inj Real.Angle.toReal_inj
@[simp]
theorem coe_toReal (θ : Angle) : (θ.toReal : Angle) = θ := by
induction θ using Real.Angle.induction_on
exact coe_toIocMod _ _
#align real.angle.coe_to_real Real.Angle.coe_toReal
theorem neg_pi_lt_toReal (θ : Angle) : -π < θ.toReal := by
induction θ using Real.Angle.induction_on
exact left_lt_toIocMod _ _ _
#align real.angle.neg_pi_lt_to_real Real.Angle.neg_pi_lt_toReal
theorem toReal_le_pi (θ : Angle) : θ.toReal ≤ π := by
induction θ using Real.Angle.induction_on
convert toIocMod_le_right two_pi_pos _ _
ring
#align real.angle.to_real_le_pi Real.Angle.toReal_le_pi
theorem abs_toReal_le_pi (θ : Angle) : |θ.toReal| ≤ π :=
abs_le.2 ⟨(neg_pi_lt_toReal _).le, toReal_le_pi _⟩
#align real.angle.abs_to_real_le_pi Real.Angle.abs_toReal_le_pi
theorem toReal_mem_Ioc (θ : Angle) : θ.toReal ∈ Set.Ioc (-π) π :=
⟨neg_pi_lt_toReal _, toReal_le_pi _⟩
#align real.angle.to_real_mem_Ioc Real.Angle.toReal_mem_Ioc
@[simp]
theorem toIocMod_toReal (θ : Angle) : toIocMod two_pi_pos (-π) θ.toReal = θ.toReal := by
induction θ using Real.Angle.induction_on
rw [toReal_coe]
exact toIocMod_toIocMod _ _ _ _
#align real.angle.to_Ioc_mod_to_real Real.Angle.toIocMod_toReal
@[simp]
theorem toReal_zero : (0 : Angle).toReal = 0 := by
rw [← coe_zero, toReal_coe_eq_self_iff]
exact ⟨Left.neg_neg_iff.2 Real.pi_pos, Real.pi_pos.le⟩
#align real.angle.to_real_zero Real.Angle.toReal_zero
@[simp]
theorem toReal_eq_zero_iff {θ : Angle} : θ.toReal = 0 ↔ θ = 0 := by
nth_rw 1 [← toReal_zero]
exact toReal_inj
#align real.angle.to_real_eq_zero_iff Real.Angle.toReal_eq_zero_iff
@[simp]
theorem toReal_pi : (π : Angle).toReal = π := by
rw [toReal_coe_eq_self_iff]
exact ⟨Left.neg_lt_self Real.pi_pos, le_refl _⟩
#align real.angle.to_real_pi Real.Angle.toReal_pi
@[simp]
theorem toReal_eq_pi_iff {θ : Angle} : θ.toReal = π ↔ θ = π := by rw [← toReal_inj, toReal_pi]
#align real.angle.to_real_eq_pi_iff Real.Angle.toReal_eq_pi_iff
theorem pi_ne_zero : (π : Angle) ≠ 0 := by
rw [← toReal_injective.ne_iff, toReal_pi, toReal_zero]
exact Real.pi_ne_zero
#align real.angle.pi_ne_zero Real.Angle.pi_ne_zero
@[simp]
theorem toReal_pi_div_two : ((π / 2 : ℝ) : Angle).toReal = π / 2 :=
toReal_coe_eq_self_iff.2 <| by constructor <;> linarith [pi_pos]
#align real.angle.to_real_pi_div_two Real.Angle.toReal_pi_div_two
@[simp]
theorem toReal_eq_pi_div_two_iff {θ : Angle} : θ.toReal = π / 2 ↔ θ = (π / 2 : ℝ) := by
rw [← toReal_inj, toReal_pi_div_two]
#align real.angle.to_real_eq_pi_div_two_iff Real.Angle.toReal_eq_pi_div_two_iff
@[simp]
theorem toReal_neg_pi_div_two : ((-π / 2 : ℝ) : Angle).toReal = -π / 2 :=
toReal_coe_eq_self_iff.2 <| by constructor <;> linarith [pi_pos]
#align real.angle.to_real_neg_pi_div_two Real.Angle.toReal_neg_pi_div_two
@[simp]
theorem toReal_eq_neg_pi_div_two_iff {θ : Angle} : θ.toReal = -π / 2 ↔ θ = (-π / 2 : ℝ) := by
rw [← toReal_inj, toReal_neg_pi_div_two]
#align real.angle.to_real_eq_neg_pi_div_two_iff Real.Angle.toReal_eq_neg_pi_div_two_iff
theorem pi_div_two_ne_zero : ((π / 2 : ℝ) : Angle) ≠ 0 := by
rw [← toReal_injective.ne_iff, toReal_pi_div_two, toReal_zero]
exact div_ne_zero Real.pi_ne_zero two_ne_zero
#align real.angle.pi_div_two_ne_zero Real.Angle.pi_div_two_ne_zero
theorem neg_pi_div_two_ne_zero : ((-π / 2 : ℝ) : Angle) ≠ 0 := by
rw [← toReal_injective.ne_iff, toReal_neg_pi_div_two, toReal_zero]
exact div_ne_zero (neg_ne_zero.2 Real.pi_ne_zero) two_ne_zero
#align real.angle.neg_pi_div_two_ne_zero Real.Angle.neg_pi_div_two_ne_zero
theorem abs_toReal_coe_eq_self_iff {θ : ℝ} : |(θ : Angle).toReal| = θ ↔ 0 ≤ θ ∧ θ ≤ π :=
⟨fun h => h ▸ ⟨abs_nonneg _, abs_toReal_le_pi _⟩, fun h =>
(toReal_coe_eq_self_iff.2 ⟨(Left.neg_neg_iff.2 Real.pi_pos).trans_le h.1, h.2⟩).symm ▸
abs_eq_self.2 h.1⟩
#align real.angle.abs_to_real_coe_eq_self_iff Real.Angle.abs_toReal_coe_eq_self_iff
theorem abs_toReal_neg_coe_eq_self_iff {θ : ℝ} : |(-θ : Angle).toReal| = θ ↔ 0 ≤ θ ∧ θ ≤ π := by
refine ⟨fun h => h ▸ ⟨abs_nonneg _, abs_toReal_le_pi _⟩, fun h => ?_⟩
by_cases hnegpi : θ = π; · simp [hnegpi, Real.pi_pos.le]
rw [← coe_neg,
toReal_coe_eq_self_iff.2
⟨neg_lt_neg (lt_of_le_of_ne h.2 hnegpi), (neg_nonpos.2 h.1).trans Real.pi_pos.le⟩,
abs_neg, abs_eq_self.2 h.1]
#align real.angle.abs_to_real_neg_coe_eq_self_iff Real.Angle.abs_toReal_neg_coe_eq_self_iff
theorem abs_toReal_eq_pi_div_two_iff {θ : Angle} :
|θ.toReal| = π / 2 ↔ θ = (π / 2 : ℝ) ∨ θ = (-π / 2 : ℝ) := by
rw [abs_eq (div_nonneg Real.pi_pos.le two_pos.le), ← neg_div, toReal_eq_pi_div_two_iff,
toReal_eq_neg_pi_div_two_iff]
#align real.angle.abs_to_real_eq_pi_div_two_iff Real.Angle.abs_toReal_eq_pi_div_two_iff
theorem nsmul_toReal_eq_mul {n : ℕ} (h : n ≠ 0) {θ : Angle} :
(n • θ).toReal = n * θ.toReal ↔ θ.toReal ∈ Set.Ioc (-π / n) (π / n) := by
nth_rw 1 [← coe_toReal θ]
have h' : 0 < (n : ℝ) := mod_cast Nat.pos_of_ne_zero h
rw [← coe_nsmul, nsmul_eq_mul, toReal_coe_eq_self_iff, Set.mem_Ioc, div_lt_iff' h',
le_div_iff' h']
#align real.angle.nsmul_to_real_eq_mul Real.Angle.nsmul_toReal_eq_mul
theorem two_nsmul_toReal_eq_two_mul {θ : Angle} :
((2 : ℕ) • θ).toReal = 2 * θ.toReal ↔ θ.toReal ∈ Set.Ioc (-π / 2) (π / 2) :=
mod_cast nsmul_toReal_eq_mul two_ne_zero
#align real.angle.two_nsmul_to_real_eq_two_mul Real.Angle.two_nsmul_toReal_eq_two_mul
theorem two_zsmul_toReal_eq_two_mul {θ : Angle} :
((2 : ℤ) • θ).toReal = 2 * θ.toReal ↔ θ.toReal ∈ Set.Ioc (-π / 2) (π / 2) := by
rw [two_zsmul, ← two_nsmul, two_nsmul_toReal_eq_two_mul]
#align real.angle.two_zsmul_to_real_eq_two_mul Real.Angle.two_zsmul_toReal_eq_two_mul
theorem toReal_coe_eq_self_sub_two_mul_int_mul_pi_iff {θ : ℝ} {k : ℤ} :
(θ : Angle).toReal = θ - 2 * k * π ↔ θ ∈ Set.Ioc ((2 * k - 1 : ℝ) * π) ((2 * k + 1) * π) := by
rw [← sub_zero (θ : Angle), ← zsmul_zero k, ← coe_two_pi, ← coe_zsmul, ← coe_sub, zsmul_eq_mul, ←
mul_assoc, mul_comm (k : ℝ), toReal_coe_eq_self_iff, Set.mem_Ioc]
exact ⟨fun h => ⟨by linarith, by linarith⟩, fun h => ⟨by linarith, by linarith⟩⟩
#align real.angle.to_real_coe_eq_self_sub_two_mul_int_mul_pi_iff Real.Angle.toReal_coe_eq_self_sub_two_mul_int_mul_pi_iff
theorem toReal_coe_eq_self_sub_two_pi_iff {θ : ℝ} :
(θ : Angle).toReal = θ - 2 * π ↔ θ ∈ Set.Ioc π (3 * π) := by
convert @toReal_coe_eq_self_sub_two_mul_int_mul_pi_iff θ 1 <;> norm_num
#align real.angle.to_real_coe_eq_self_sub_two_pi_iff Real.Angle.toReal_coe_eq_self_sub_two_pi_iff
theorem toReal_coe_eq_self_add_two_pi_iff {θ : ℝ} :
(θ : Angle).toReal = θ + 2 * π ↔ θ ∈ Set.Ioc (-3 * π) (-π) := by
convert @toReal_coe_eq_self_sub_two_mul_int_mul_pi_iff θ (-1) using 2 <;>
set_option tactic.skipAssignedInstances false in norm_num
#align real.angle.to_real_coe_eq_self_add_two_pi_iff Real.Angle.toReal_coe_eq_self_add_two_pi_iff
theorem two_nsmul_toReal_eq_two_mul_sub_two_pi {θ : Angle} :
((2 : ℕ) • θ).toReal = 2 * θ.toReal - 2 * π ↔ π / 2 < θ.toReal := by
nth_rw 1 [← coe_toReal θ]
rw [← coe_nsmul, two_nsmul, ← two_mul, toReal_coe_eq_self_sub_two_pi_iff, Set.mem_Ioc]
exact
⟨fun h => by linarith, fun h =>
⟨(div_lt_iff' (zero_lt_two' ℝ)).1 h, by linarith [pi_pos, toReal_le_pi θ]⟩⟩
#align real.angle.two_nsmul_to_real_eq_two_mul_sub_two_pi Real.Angle.two_nsmul_toReal_eq_two_mul_sub_two_pi
theorem two_zsmul_toReal_eq_two_mul_sub_two_pi {θ : Angle} :
((2 : ℤ) • θ).toReal = 2 * θ.toReal - 2 * π ↔ π / 2 < θ.toReal := by
rw [two_zsmul, ← two_nsmul, two_nsmul_toReal_eq_two_mul_sub_two_pi]
#align real.angle.two_zsmul_to_real_eq_two_mul_sub_two_pi Real.Angle.two_zsmul_toReal_eq_two_mul_sub_two_pi
theorem two_nsmul_toReal_eq_two_mul_add_two_pi {θ : Angle} :
((2 : ℕ) • θ).toReal = 2 * θ.toReal + 2 * π ↔ θ.toReal ≤ -π / 2 := by
nth_rw 1 [← coe_toReal θ]
rw [← coe_nsmul, two_nsmul, ← two_mul, toReal_coe_eq_self_add_two_pi_iff, Set.mem_Ioc]
refine
⟨fun h => by linarith, fun h =>
⟨by linarith [pi_pos, neg_pi_lt_toReal θ], (le_div_iff' (zero_lt_two' ℝ)).1 h⟩⟩
#align real.angle.two_nsmul_to_real_eq_two_mul_add_two_pi Real.Angle.two_nsmul_toReal_eq_two_mul_add_two_pi
theorem two_zsmul_toReal_eq_two_mul_add_two_pi {θ : Angle} :
((2 : ℤ) • θ).toReal = 2 * θ.toReal + 2 * π ↔ θ.toReal ≤ -π / 2 := by
rw [two_zsmul, ← two_nsmul, two_nsmul_toReal_eq_two_mul_add_two_pi]
#align real.angle.two_zsmul_to_real_eq_two_mul_add_two_pi Real.Angle.two_zsmul_toReal_eq_two_mul_add_two_pi
@[simp]
theorem sin_toReal (θ : Angle) : Real.sin θ.toReal = sin θ := by
conv_rhs => rw [← coe_toReal θ, sin_coe]
#align real.angle.sin_to_real Real.Angle.sin_toReal
@[simp]
theorem cos_toReal (θ : Angle) : Real.cos θ.toReal = cos θ := by
conv_rhs => rw [← coe_toReal θ, cos_coe]
#align real.angle.cos_to_real Real.Angle.cos_toReal
theorem cos_nonneg_iff_abs_toReal_le_pi_div_two {θ : Angle} : 0 ≤ cos θ ↔ |θ.toReal| ≤ π / 2 := by
nth_rw 1 [← coe_toReal θ]
rw [abs_le, cos_coe]
refine ⟨fun h => ?_, cos_nonneg_of_mem_Icc⟩
by_contra hn
rw [not_and_or, not_le, not_le] at hn
refine (not_lt.2 h) ?_
rcases hn with (hn | hn)
· rw [← Real.cos_neg]
refine cos_neg_of_pi_div_two_lt_of_lt (by linarith) ?_
linarith [neg_pi_lt_toReal θ]
· refine cos_neg_of_pi_div_two_lt_of_lt hn ?_
linarith [toReal_le_pi θ]
#align real.angle.cos_nonneg_iff_abs_to_real_le_pi_div_two Real.Angle.cos_nonneg_iff_abs_toReal_le_pi_div_two
theorem cos_pos_iff_abs_toReal_lt_pi_div_two {θ : Angle} : 0 < cos θ ↔ |θ.toReal| < π / 2 := by
rw [lt_iff_le_and_ne, lt_iff_le_and_ne, cos_nonneg_iff_abs_toReal_le_pi_div_two, ←
and_congr_right]
rintro -
rw [Ne, Ne, not_iff_not, @eq_comm ℝ 0, abs_toReal_eq_pi_div_two_iff, cos_eq_zero_iff]
#align real.angle.cos_pos_iff_abs_to_real_lt_pi_div_two Real.Angle.cos_pos_iff_abs_toReal_lt_pi_div_two
theorem cos_neg_iff_pi_div_two_lt_abs_toReal {θ : Angle} : cos θ < 0 ↔ π / 2 < |θ.toReal| := by
rw [← not_le, ← not_le, not_iff_not, cos_nonneg_iff_abs_toReal_le_pi_div_two]
#align real.angle.cos_neg_iff_pi_div_two_lt_abs_to_real Real.Angle.cos_neg_iff_pi_div_two_lt_abs_toReal
theorem abs_cos_eq_abs_sin_of_two_nsmul_add_two_nsmul_eq_pi {θ ψ : Angle}
(h : (2 : ℕ) • θ + (2 : ℕ) • ψ = π) : |cos θ| = |sin ψ| := by
rw [← eq_sub_iff_add_eq, ← two_nsmul_coe_div_two, ← nsmul_sub, two_nsmul_eq_iff] at h
rcases h with (rfl | rfl) <;> simp [cos_pi_div_two_sub]
#align real.angle.abs_cos_eq_abs_sin_of_two_nsmul_add_two_nsmul_eq_pi Real.Angle.abs_cos_eq_abs_sin_of_two_nsmul_add_two_nsmul_eq_pi
theorem abs_cos_eq_abs_sin_of_two_zsmul_add_two_zsmul_eq_pi {θ ψ : Angle}
(h : (2 : ℤ) • θ + (2 : ℤ) • ψ = π) : |cos θ| = |sin ψ| := by
simp_rw [two_zsmul, ← two_nsmul] at h
exact abs_cos_eq_abs_sin_of_two_nsmul_add_two_nsmul_eq_pi h
#align real.angle.abs_cos_eq_abs_sin_of_two_zsmul_add_two_zsmul_eq_pi Real.Angle.abs_cos_eq_abs_sin_of_two_zsmul_add_two_zsmul_eq_pi
/-- The tangent of a `Real.Angle`. -/
def tan (θ : Angle) : ℝ :=
sin θ / cos θ
#align real.angle.tan Real.Angle.tan
theorem tan_eq_sin_div_cos (θ : Angle) : tan θ = sin θ / cos θ :=
rfl
#align real.angle.tan_eq_sin_div_cos Real.Angle.tan_eq_sin_div_cos
@[simp]
theorem tan_coe (x : ℝ) : tan (x : Angle) = Real.tan x := by
rw [tan, sin_coe, cos_coe, Real.tan_eq_sin_div_cos]
#align real.angle.tan_coe Real.Angle.tan_coe
@[simp]
theorem tan_zero : tan (0 : Angle) = 0 := by rw [← coe_zero, tan_coe, Real.tan_zero]
#align real.angle.tan_zero Real.Angle.tan_zero
-- Porting note (#10618): @[simp] can now prove it
theorem tan_coe_pi : tan (π : Angle) = 0 := by rw [tan_coe, Real.tan_pi]
#align real.angle.tan_coe_pi Real.Angle.tan_coe_pi
theorem tan_periodic : Function.Periodic tan (π : Angle) := by
intro θ
induction θ using Real.Angle.induction_on
rw [← coe_add, tan_coe, tan_coe]
exact Real.tan_periodic _
#align real.angle.tan_periodic Real.Angle.tan_periodic
@[simp]
theorem tan_add_pi (θ : Angle) : tan (θ + π) = tan θ :=
tan_periodic θ
#align real.angle.tan_add_pi Real.Angle.tan_add_pi
@[simp]
theorem tan_sub_pi (θ : Angle) : tan (θ - π) = tan θ :=
tan_periodic.sub_eq θ
#align real.angle.tan_sub_pi Real.Angle.tan_sub_pi
@[simp]
theorem tan_toReal (θ : Angle) : Real.tan θ.toReal = tan θ := by
conv_rhs => rw [← coe_toReal θ, tan_coe]
#align real.angle.tan_to_real Real.Angle.tan_toReal
theorem tan_eq_of_two_nsmul_eq {θ ψ : Angle} (h : (2 : ℕ) • θ = (2 : ℕ) • ψ) : tan θ = tan ψ := by
rw [two_nsmul_eq_iff] at h
rcases h with (rfl | rfl)
· rfl
· exact tan_add_pi _
#align real.angle.tan_eq_of_two_nsmul_eq Real.Angle.tan_eq_of_two_nsmul_eq
theorem tan_eq_of_two_zsmul_eq {θ ψ : Angle} (h : (2 : ℤ) • θ = (2 : ℤ) • ψ) : tan θ = tan ψ := by
simp_rw [two_zsmul, ← two_nsmul] at h
exact tan_eq_of_two_nsmul_eq h
#align real.angle.tan_eq_of_two_zsmul_eq Real.Angle.tan_eq_of_two_zsmul_eq
theorem tan_eq_inv_of_two_nsmul_add_two_nsmul_eq_pi {θ ψ : Angle}
(h : (2 : ℕ) • θ + (2 : ℕ) • ψ = π) : tan ψ = (tan θ)⁻¹ := by
induction θ using Real.Angle.induction_on
induction ψ using Real.Angle.induction_on
rw [← smul_add, ← coe_add, ← coe_nsmul, two_nsmul, ← two_mul, angle_eq_iff_two_pi_dvd_sub] at h
rcases h with ⟨k, h⟩
rw [sub_eq_iff_eq_add, ← mul_inv_cancel_left₀ two_ne_zero π, mul_assoc, ← mul_add,
mul_right_inj' (two_ne_zero' ℝ), ← eq_sub_iff_add_eq', mul_inv_cancel_left₀ two_ne_zero π,
inv_mul_eq_div, mul_comm] at h
rw [tan_coe, tan_coe, ← tan_pi_div_two_sub, h, add_sub_assoc, add_comm]
exact Real.tan_periodic.int_mul _ _
#align real.angle.tan_eq_inv_of_two_nsmul_add_two_nsmul_eq_pi Real.Angle.tan_eq_inv_of_two_nsmul_add_two_nsmul_eq_pi
theorem tan_eq_inv_of_two_zsmul_add_two_zsmul_eq_pi {θ ψ : Angle}
(h : (2 : ℤ) • θ + (2 : ℤ) • ψ = π) : tan ψ = (tan θ)⁻¹ := by
simp_rw [two_zsmul, ← two_nsmul] at h
exact tan_eq_inv_of_two_nsmul_add_two_nsmul_eq_pi h
#align real.angle.tan_eq_inv_of_two_zsmul_add_two_zsmul_eq_pi Real.Angle.tan_eq_inv_of_two_zsmul_add_two_zsmul_eq_pi
/-- The sign of a `Real.Angle` is `0` if the angle is `0` or `π`, `1` if the angle is strictly
between `0` and `π` and `-1` is the angle is strictly between `-π` and `0`. It is defined as the
sign of the sine of the angle. -/
def sign (θ : Angle) : SignType :=
SignType.sign (sin θ)
#align real.angle.sign Real.Angle.sign
@[simp]
theorem sign_zero : (0 : Angle).sign = 0 := by
rw [sign, sin_zero, _root_.sign_zero]
#align real.angle.sign_zero Real.Angle.sign_zero
@[simp]
theorem sign_coe_pi : (π : Angle).sign = 0 := by rw [sign, sin_coe_pi, _root_.sign_zero]
#align real.angle.sign_coe_pi Real.Angle.sign_coe_pi
@[simp]
theorem sign_neg (θ : Angle) : (-θ).sign = -θ.sign := by
simp_rw [sign, sin_neg, Left.sign_neg]
#align real.angle.sign_neg Real.Angle.sign_neg
theorem sign_antiperiodic : Function.Antiperiodic sign (π : Angle) := fun θ => by
rw [sign, sign, sin_add_pi, Left.sign_neg]
#align real.angle.sign_antiperiodic Real.Angle.sign_antiperiodic
@[simp]
theorem sign_add_pi (θ : Angle) : (θ + π).sign = -θ.sign :=
sign_antiperiodic θ
#align real.angle.sign_add_pi Real.Angle.sign_add_pi
@[simp]
theorem sign_pi_add (θ : Angle) : ((π : Angle) + θ).sign = -θ.sign := by rw [add_comm, sign_add_pi]
#align real.angle.sign_pi_add Real.Angle.sign_pi_add
@[simp]
theorem sign_sub_pi (θ : Angle) : (θ - π).sign = -θ.sign :=
sign_antiperiodic.sub_eq θ
#align real.angle.sign_sub_pi Real.Angle.sign_sub_pi
@[simp]
theorem sign_pi_sub (θ : Angle) : ((π : Angle) - θ).sign = θ.sign := by
simp [sign_antiperiodic.sub_eq']
#align real.angle.sign_pi_sub Real.Angle.sign_pi_sub
theorem sign_eq_zero_iff {θ : Angle} : θ.sign = 0 ↔ θ = 0 ∨ θ = π := by
rw [sign, _root_.sign_eq_zero_iff, sin_eq_zero_iff]
#align real.angle.sign_eq_zero_iff Real.Angle.sign_eq_zero_iff
theorem sign_ne_zero_iff {θ : Angle} : θ.sign ≠ 0 ↔ θ ≠ 0 ∧ θ ≠ π := by
rw [← not_or, ← sign_eq_zero_iff]
#align real.angle.sign_ne_zero_iff Real.Angle.sign_ne_zero_iff
theorem toReal_neg_iff_sign_neg {θ : Angle} : θ.toReal < 0 ↔ θ.sign = -1 := by
rw [sign, ← sin_toReal, sign_eq_neg_one_iff]
rcases lt_trichotomy θ.toReal 0 with (h | h | h)
· exact ⟨fun _ => Real.sin_neg_of_neg_of_neg_pi_lt h (neg_pi_lt_toReal θ), fun _ => h⟩
· simp [h]
· exact
⟨fun hn => False.elim (h.asymm hn), fun hn =>
False.elim (hn.not_le (sin_nonneg_of_nonneg_of_le_pi h.le (toReal_le_pi θ)))⟩
#align real.angle.to_real_neg_iff_sign_neg Real.Angle.toReal_neg_iff_sign_neg
theorem toReal_nonneg_iff_sign_nonneg {θ : Angle} : 0 ≤ θ.toReal ↔ 0 ≤ θ.sign := by
rcases lt_trichotomy θ.toReal 0 with (h | h | h)
· refine ⟨fun hn => False.elim (h.not_le hn), fun hn => ?_⟩
rw [toReal_neg_iff_sign_neg.1 h] at hn
exact False.elim (hn.not_lt (by decide))
· simp [h, sign, ← sin_toReal]
· refine ⟨fun _ => ?_, fun _ => h.le⟩
rw [sign, ← sin_toReal, sign_nonneg_iff]
exact sin_nonneg_of_nonneg_of_le_pi h.le (toReal_le_pi θ)
#align real.angle.to_real_nonneg_iff_sign_nonneg Real.Angle.toReal_nonneg_iff_sign_nonneg
@[simp]
theorem sign_toReal {θ : Angle} (h : θ ≠ π) : SignType.sign θ.toReal = θ.sign := by
rcases lt_trichotomy θ.toReal 0 with (ht | ht | ht)
· simp [ht, toReal_neg_iff_sign_neg.1 ht]
· simp [sign, ht, ← sin_toReal]
· rw [sign, ← sin_toReal, sign_pos ht,
sign_pos
(sin_pos_of_pos_of_lt_pi ht ((toReal_le_pi θ).lt_of_ne (toReal_eq_pi_iff.not.2 h)))]
#align real.angle.sign_to_real Real.Angle.sign_toReal
theorem coe_abs_toReal_of_sign_nonneg {θ : Angle} (h : 0 ≤ θ.sign) : ↑|θ.toReal| = θ := by
rw [abs_eq_self.2 (toReal_nonneg_iff_sign_nonneg.2 h), coe_toReal]
#align real.angle.coe_abs_to_real_of_sign_nonneg Real.Angle.coe_abs_toReal_of_sign_nonneg
theorem neg_coe_abs_toReal_of_sign_nonpos {θ : Angle} (h : θ.sign ≤ 0) : -↑|θ.toReal| = θ := by
rw [SignType.nonpos_iff] at h
rcases h with (h | h)
· rw [abs_of_neg (toReal_neg_iff_sign_neg.2 h), coe_neg, neg_neg, coe_toReal]
· rw [sign_eq_zero_iff] at h
rcases h with (rfl | rfl) <;> simp [abs_of_pos Real.pi_pos]
#align real.angle.neg_coe_abs_to_real_of_sign_nonpos Real.Angle.neg_coe_abs_toReal_of_sign_nonpos
theorem eq_iff_sign_eq_and_abs_toReal_eq {θ ψ : Angle} :
θ = ψ ↔ θ.sign = ψ.sign ∧ |θ.toReal| = |ψ.toReal| := by
refine ⟨?_, fun h => ?_⟩;
· rintro rfl
exact ⟨rfl, rfl⟩
rcases h with ⟨hs, hr⟩
rw [abs_eq_abs] at hr
rcases hr with (hr | hr)
· exact toReal_injective hr
· by_cases h : θ = π
· rw [h, toReal_pi, ← neg_eq_iff_eq_neg] at hr
exact False.elim ((neg_pi_lt_toReal ψ).ne hr)
· by_cases h' : ψ = π
· rw [h', toReal_pi] at hr
exact False.elim ((neg_pi_lt_toReal θ).ne hr.symm)
· rw [← sign_toReal h, ← sign_toReal h', hr, Left.sign_neg, SignType.neg_eq_self_iff,
_root_.sign_eq_zero_iff, toReal_eq_zero_iff] at hs
rw [hs, toReal_zero, neg_zero, toReal_eq_zero_iff] at hr
rw [hr, hs]
#align real.angle.eq_iff_sign_eq_and_abs_to_real_eq Real.Angle.eq_iff_sign_eq_and_abs_toReal_eq
| Mathlib/Analysis/SpecialFunctions/Trigonometric/Angle.lean | 966 | 967 | theorem eq_iff_abs_toReal_eq_of_sign_eq {θ ψ : Angle} (h : θ.sign = ψ.sign) :
θ = ψ ↔ |θ.toReal| = |ψ.toReal| := by | simpa [h] using @eq_iff_sign_eq_and_abs_toReal_eq θ ψ
|
/-
Copyright (c) 2022 Bolton Bailey. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Bolton Bailey, Chris Hughes, Abhimanyu Pallavi Sudhir, Jean Lo, Calle Sönne
-/
import Mathlib.Analysis.SpecialFunctions.Pow.Real
import Mathlib.Data.Int.Log
#align_import analysis.special_functions.log.base from "leanprover-community/mathlib"@"f23a09ce6d3f367220dc3cecad6b7eb69eb01690"
/-!
# Real logarithm base `b`
In this file we define `Real.logb` to be the logarithm of a real number in a given base `b`. We
define this as the division of the natural logarithms of the argument and the base, so that we have
a globally defined function with `logb b 0 = 0`, `logb b (-x) = logb b x` `logb 0 x = 0` and
`logb (-b) x = logb b x`.
We prove some basic properties of this function and its relation to `rpow`.
## Tags
logarithm, continuity
-/
open Set Filter Function
open Topology
noncomputable section
namespace Real
variable {b x y : ℝ}
/-- The real logarithm in a given base. As with the natural logarithm, we define `logb b x` to
be `logb b |x|` for `x < 0`, and `0` for `x = 0`. -/
-- @[pp_nodot] -- Porting note: removed
noncomputable def logb (b x : ℝ) : ℝ :=
log x / log b
#align real.logb Real.logb
theorem log_div_log : log x / log b = logb b x :=
rfl
#align real.log_div_log Real.log_div_log
@[simp]
theorem logb_zero : logb b 0 = 0 := by simp [logb]
#align real.logb_zero Real.logb_zero
@[simp]
| Mathlib/Analysis/SpecialFunctions/Log/Base.lean | 53 | 53 | theorem logb_one : logb b 1 = 0 := by | simp [logb]
|
/-
Copyright (c) 2022 Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sébastien Gouëzel
-/
import Mathlib.Topology.MetricSpace.HausdorffDistance
#align_import topology.metric_space.pi_nat from "leanprover-community/mathlib"@"49b7f94aab3a3bdca1f9f34c5d818afb253b3993"
/-!
# Topological study of spaces `Π (n : ℕ), E n`
When `E n` are topological spaces, the space `Π (n : ℕ), E n` is naturally a topological space
(with the product topology). When `E n` are uniform spaces, it also inherits a uniform structure.
However, it does not inherit a canonical metric space structure of the `E n`. Nevertheless, one
can put a noncanonical metric space structure (or rather, several of them). This is done in this
file.
## Main definitions and results
One can define a combinatorial distance on `Π (n : ℕ), E n`, as follows:
* `PiNat.cylinder x n` is the set of points `y` with `x i = y i` for `i < n`.
* `PiNat.firstDiff x y` is the first index at which `x i ≠ y i`.
* `PiNat.dist x y` is equal to `(1/2) ^ (firstDiff x y)`. It defines a distance
on `Π (n : ℕ), E n`, compatible with the topology when the `E n` have the discrete topology.
* `PiNat.metricSpace`: the metric space structure, given by this distance. Not registered as an
instance. This space is a complete metric space.
* `PiNat.metricSpaceOfDiscreteUniformity`: the same metric space structure, but adjusting the
uniformity defeqness when the `E n` already have the discrete uniformity. Not registered as an
instance
* `PiNat.metricSpaceNatNat`: the particular case of `ℕ → ℕ`, not registered as an instance.
These results are used to construct continuous functions on `Π n, E n`:
* `PiNat.exists_retraction_of_isClosed`: given a nonempty closed subset `s` of `Π (n : ℕ), E n`,
there exists a retraction onto `s`, i.e., a continuous map from the whole space to `s`
restricting to the identity on `s`.
* `exists_nat_nat_continuous_surjective_of_completeSpace`: given any nonempty complete metric
space with second-countable topology, there exists a continuous surjection from `ℕ → ℕ` onto
this space.
One can also put distances on `Π (i : ι), E i` when the spaces `E i` are metric spaces (not discrete
in general), and `ι` is countable.
* `PiCountable.dist` is the distance on `Π i, E i` given by
`dist x y = ∑' i, min (1/2)^(encode i) (dist (x i) (y i))`.
* `PiCountable.metricSpace` is the corresponding metric space structure, adjusted so that
the uniformity is definitionally the product uniformity. Not registered as an instance.
-/
noncomputable section
open scoped Classical
open Topology Filter
open TopologicalSpace Set Metric Filter Function
attribute [local simp] pow_le_pow_iff_right one_lt_two inv_le_inv zero_le_two zero_lt_two
variable {E : ℕ → Type*}
namespace PiNat
/-! ### The firstDiff function -/
/-- In a product space `Π n, E n`, then `firstDiff x y` is the first index at which `x` and `y`
differ. If `x = y`, then by convention we set `firstDiff x x = 0`. -/
irreducible_def firstDiff (x y : ∀ n, E n) : ℕ :=
if h : x ≠ y then Nat.find (ne_iff.1 h) else 0
#align pi_nat.first_diff PiNat.firstDiff
theorem apply_firstDiff_ne {x y : ∀ n, E n} (h : x ≠ y) :
x (firstDiff x y) ≠ y (firstDiff x y) := by
rw [firstDiff_def, dif_pos h]
exact Nat.find_spec (ne_iff.1 h)
#align pi_nat.apply_first_diff_ne PiNat.apply_firstDiff_ne
theorem apply_eq_of_lt_firstDiff {x y : ∀ n, E n} {n : ℕ} (hn : n < firstDiff x y) : x n = y n := by
rw [firstDiff_def] at hn
split_ifs at hn with h
· convert Nat.find_min (ne_iff.1 h) hn
simp
· exact (not_lt_zero' hn).elim
#align pi_nat.apply_eq_of_lt_first_diff PiNat.apply_eq_of_lt_firstDiff
theorem firstDiff_comm (x y : ∀ n, E n) : firstDiff x y = firstDiff y x := by
simp only [firstDiff_def, ne_comm]
#align pi_nat.first_diff_comm PiNat.firstDiff_comm
theorem min_firstDiff_le (x y z : ∀ n, E n) (h : x ≠ z) :
min (firstDiff x y) (firstDiff y z) ≤ firstDiff x z := by
by_contra! H
rw [lt_min_iff] at H
refine apply_firstDiff_ne h ?_
calc
x (firstDiff x z) = y (firstDiff x z) := apply_eq_of_lt_firstDiff H.1
_ = z (firstDiff x z) := apply_eq_of_lt_firstDiff H.2
#align pi_nat.min_first_diff_le PiNat.min_firstDiff_le
/-! ### Cylinders -/
/-- In a product space `Π n, E n`, the cylinder set of length `n` around `x`, denoted
`cylinder x n`, is the set of sequences `y` that coincide with `x` on the first `n` symbols, i.e.,
such that `y i = x i` for all `i < n`.
-/
def cylinder (x : ∀ n, E n) (n : ℕ) : Set (∀ n, E n) :=
{ y | ∀ i, i < n → y i = x i }
#align pi_nat.cylinder PiNat.cylinder
theorem cylinder_eq_pi (x : ∀ n, E n) (n : ℕ) :
cylinder x n = Set.pi (Finset.range n : Set ℕ) fun i : ℕ => {x i} := by
ext y
simp [cylinder]
#align pi_nat.cylinder_eq_pi PiNat.cylinder_eq_pi
@[simp]
theorem cylinder_zero (x : ∀ n, E n) : cylinder x 0 = univ := by simp [cylinder_eq_pi]
#align pi_nat.cylinder_zero PiNat.cylinder_zero
theorem cylinder_anti (x : ∀ n, E n) {m n : ℕ} (h : m ≤ n) : cylinder x n ⊆ cylinder x m :=
fun _y hy i hi => hy i (hi.trans_le h)
#align pi_nat.cylinder_anti PiNat.cylinder_anti
@[simp]
theorem mem_cylinder_iff {x y : ∀ n, E n} {n : ℕ} : y ∈ cylinder x n ↔ ∀ i < n, y i = x i :=
Iff.rfl
#align pi_nat.mem_cylinder_iff PiNat.mem_cylinder_iff
theorem self_mem_cylinder (x : ∀ n, E n) (n : ℕ) : x ∈ cylinder x n := by simp
#align pi_nat.self_mem_cylinder PiNat.self_mem_cylinder
theorem mem_cylinder_iff_eq {x y : ∀ n, E n} {n : ℕ} :
y ∈ cylinder x n ↔ cylinder y n = cylinder x n := by
constructor
· intro hy
apply Subset.antisymm
· intro z hz i hi
rw [← hy i hi]
exact hz i hi
· intro z hz i hi
rw [hy i hi]
exact hz i hi
· intro h
rw [← h]
exact self_mem_cylinder _ _
#align pi_nat.mem_cylinder_iff_eq PiNat.mem_cylinder_iff_eq
theorem mem_cylinder_comm (x y : ∀ n, E n) (n : ℕ) : y ∈ cylinder x n ↔ x ∈ cylinder y n := by
simp [mem_cylinder_iff_eq, eq_comm]
#align pi_nat.mem_cylinder_comm PiNat.mem_cylinder_comm
theorem mem_cylinder_iff_le_firstDiff {x y : ∀ n, E n} (hne : x ≠ y) (i : ℕ) :
x ∈ cylinder y i ↔ i ≤ firstDiff x y := by
constructor
· intro h
by_contra!
exact apply_firstDiff_ne hne (h _ this)
· intro hi j hj
exact apply_eq_of_lt_firstDiff (hj.trans_le hi)
#align pi_nat.mem_cylinder_iff_le_first_diff PiNat.mem_cylinder_iff_le_firstDiff
theorem mem_cylinder_firstDiff (x y : ∀ n, E n) : x ∈ cylinder y (firstDiff x y) := fun _i hi =>
apply_eq_of_lt_firstDiff hi
#align pi_nat.mem_cylinder_first_diff PiNat.mem_cylinder_firstDiff
theorem cylinder_eq_cylinder_of_le_firstDiff (x y : ∀ n, E n) {n : ℕ} (hn : n ≤ firstDiff x y) :
cylinder x n = cylinder y n := by
rw [← mem_cylinder_iff_eq]
intro i hi
exact apply_eq_of_lt_firstDiff (hi.trans_le hn)
#align pi_nat.cylinder_eq_cylinder_of_le_first_diff PiNat.cylinder_eq_cylinder_of_le_firstDiff
theorem iUnion_cylinder_update (x : ∀ n, E n) (n : ℕ) :
⋃ k, cylinder (update x n k) (n + 1) = cylinder x n := by
ext y
simp only [mem_cylinder_iff, mem_iUnion]
constructor
· rintro ⟨k, hk⟩ i hi
simpa [hi.ne] using hk i (Nat.lt_succ_of_lt hi)
· intro H
refine ⟨y n, fun i hi => ?_⟩
rcases Nat.lt_succ_iff_lt_or_eq.1 hi with (h'i | rfl)
· simp [H i h'i, h'i.ne]
· simp
#align pi_nat.Union_cylinder_update PiNat.iUnion_cylinder_update
theorem update_mem_cylinder (x : ∀ n, E n) (n : ℕ) (y : E n) : update x n y ∈ cylinder x n :=
mem_cylinder_iff.2 fun i hi => by simp [hi.ne]
#align pi_nat.update_mem_cylinder PiNat.update_mem_cylinder
section Res
variable {α : Type*}
open List
/-- In the case where `E` has constant value `α`,
the cylinder `cylinder x n` can be identified with the element of `List α`
consisting of the first `n` entries of `x`. See `cylinder_eq_res`.
We call this list `res x n`, the restriction of `x` to `n`. -/
def res (x : ℕ → α) : ℕ → List α
| 0 => nil
| Nat.succ n => x n :: res x n
#align pi_nat.res PiNat.res
@[simp]
theorem res_zero (x : ℕ → α) : res x 0 = @nil α :=
rfl
#align pi_nat.res_zero PiNat.res_zero
@[simp]
theorem res_succ (x : ℕ → α) (n : ℕ) : res x n.succ = x n :: res x n :=
rfl
#align pi_nat.res_succ PiNat.res_succ
@[simp]
theorem res_length (x : ℕ → α) (n : ℕ) : (res x n).length = n := by induction n <;> simp [*]
#align pi_nat.res_length PiNat.res_length
/-- The restrictions of `x` and `y` to `n` are equal if and only if `x m = y m` for all `m < n`. -/
theorem res_eq_res {x y : ℕ → α} {n : ℕ} :
res x n = res y n ↔ ∀ ⦃m⦄, m < n → x m = y m := by
constructor <;> intro h <;> induction' n with n ih; · simp
· intro m hm
rw [Nat.lt_succ_iff_lt_or_eq] at hm
simp only [res_succ, cons.injEq] at h
cases' hm with hm hm
· exact ih h.2 hm
rw [hm]
exact h.1
· simp
simp only [res_succ, cons.injEq]
refine ⟨h (Nat.lt_succ_self _), ih fun m hm => ?_⟩
exact h (hm.trans (Nat.lt_succ_self _))
#align pi_nat.res_eq_res PiNat.res_eq_res
theorem res_injective : Injective (@res α) := by
intro x y h
ext n
apply res_eq_res.mp _ (Nat.lt_succ_self _)
rw [h]
#align pi_nat.res_injective PiNat.res_injective
/-- `cylinder x n` is equal to the set of sequences `y` with the same restriction to `n` as `x`. -/
theorem cylinder_eq_res (x : ℕ → α) (n : ℕ) :
cylinder x n = { y | res y n = res x n } := by
ext y
dsimp [cylinder]
rw [res_eq_res]
#align pi_nat.cylinder_eq_res PiNat.cylinder_eq_res
end Res
/-!
### A distance function on `Π n, E n`
We define a distance function on `Π n, E n`, given by `dist x y = (1/2)^n` where `n` is the first
index at which `x` and `y` differ. When each `E n` has the discrete topology, this distance will
define the right topology on the product space. We do not record a global `Dist` instance nor
a `MetricSpace` instance, as other distances may be used on these spaces, but we register them as
local instances in this section.
-/
/-- The distance function on a product space `Π n, E n`, given by `dist x y = (1/2)^n` where `n` is
the first index at which `x` and `y` differ. -/
protected def dist : Dist (∀ n, E n) :=
⟨fun x y => if x ≠ y then (1 / 2 : ℝ) ^ firstDiff x y else 0⟩
#align pi_nat.has_dist PiNat.dist
attribute [local instance] PiNat.dist
theorem dist_eq_of_ne {x y : ∀ n, E n} (h : x ≠ y) : dist x y = (1 / 2 : ℝ) ^ firstDiff x y := by
simp [dist, h]
#align pi_nat.dist_eq_of_ne PiNat.dist_eq_of_ne
protected theorem dist_self (x : ∀ n, E n) : dist x x = 0 := by simp [dist]
#align pi_nat.dist_self PiNat.dist_self
protected theorem dist_comm (x y : ∀ n, E n) : dist x y = dist y x := by
simp [dist, @eq_comm _ x y, firstDiff_comm]
#align pi_nat.dist_comm PiNat.dist_comm
protected theorem dist_nonneg (x y : ∀ n, E n) : 0 ≤ dist x y := by
rcases eq_or_ne x y with (rfl | h)
· simp [dist]
· simp [dist, h, zero_le_two]
#align pi_nat.dist_nonneg PiNat.dist_nonneg
theorem dist_triangle_nonarch (x y z : ∀ n, E n) : dist x z ≤ max (dist x y) (dist y z) := by
rcases eq_or_ne x z with (rfl | hxz)
· simp [PiNat.dist_self x, PiNat.dist_nonneg]
rcases eq_or_ne x y with (rfl | hxy)
· simp
rcases eq_or_ne y z with (rfl | hyz)
· simp
simp only [dist_eq_of_ne, hxz, hxy, hyz, inv_le_inv, one_div, inv_pow, zero_lt_two, Ne,
not_false_iff, le_max_iff, pow_le_pow_iff_right, one_lt_two, pow_pos,
min_le_iff.1 (min_firstDiff_le x y z hxz)]
#align pi_nat.dist_triangle_nonarch PiNat.dist_triangle_nonarch
protected theorem dist_triangle (x y z : ∀ n, E n) : dist x z ≤ dist x y + dist y z :=
calc
dist x z ≤ max (dist x y) (dist y z) := dist_triangle_nonarch x y z
_ ≤ dist x y + dist y z := max_le_add_of_nonneg (PiNat.dist_nonneg _ _) (PiNat.dist_nonneg _ _)
#align pi_nat.dist_triangle PiNat.dist_triangle
protected theorem eq_of_dist_eq_zero (x y : ∀ n, E n) (hxy : dist x y = 0) : x = y := by
rcases eq_or_ne x y with (rfl | h); · rfl
simp [dist_eq_of_ne h] at hxy
#align pi_nat.eq_of_dist_eq_zero PiNat.eq_of_dist_eq_zero
theorem mem_cylinder_iff_dist_le {x y : ∀ n, E n} {n : ℕ} :
y ∈ cylinder x n ↔ dist y x ≤ (1 / 2) ^ n := by
rcases eq_or_ne y x with (rfl | hne)
· simp [PiNat.dist_self]
suffices (∀ i : ℕ, i < n → y i = x i) ↔ n ≤ firstDiff y x by simpa [dist_eq_of_ne hne]
constructor
· intro hy
by_contra! H
exact apply_firstDiff_ne hne (hy _ H)
· intro h i hi
exact apply_eq_of_lt_firstDiff (hi.trans_le h)
#align pi_nat.mem_cylinder_iff_dist_le PiNat.mem_cylinder_iff_dist_le
theorem apply_eq_of_dist_lt {x y : ∀ n, E n} {n : ℕ} (h : dist x y < (1 / 2) ^ n) {i : ℕ}
(hi : i ≤ n) : x i = y i := by
rcases eq_or_ne x y with (rfl | hne)
· rfl
have : n < firstDiff x y := by
simpa [dist_eq_of_ne hne, inv_lt_inv, pow_lt_pow_iff_right, one_lt_two] using h
exact apply_eq_of_lt_firstDiff (hi.trans_lt this)
#align pi_nat.apply_eq_of_dist_lt PiNat.apply_eq_of_dist_lt
/-- A function to a pseudo-metric-space is `1`-Lipschitz if and only if points in the same cylinder
of length `n` are sent to points within distance `(1/2)^n`.
Not expressed using `LipschitzWith` as we don't have a metric space structure -/
theorem lipschitz_with_one_iff_forall_dist_image_le_of_mem_cylinder {α : Type*}
[PseudoMetricSpace α] {f : (∀ n, E n) → α} :
(∀ x y : ∀ n, E n, dist (f x) (f y) ≤ dist x y) ↔
∀ x y n, y ∈ cylinder x n → dist (f x) (f y) ≤ (1 / 2) ^ n := by
constructor
· intro H x y n hxy
apply (H x y).trans
rw [PiNat.dist_comm]
exact mem_cylinder_iff_dist_le.1 hxy
· intro H x y
rcases eq_or_ne x y with (rfl | hne)
· simp [PiNat.dist_nonneg]
rw [dist_eq_of_ne hne]
apply H x y (firstDiff x y)
rw [firstDiff_comm]
exact mem_cylinder_firstDiff _ _
#align pi_nat.lipschitz_with_one_iff_forall_dist_image_le_of_mem_cylinder PiNat.lipschitz_with_one_iff_forall_dist_image_le_of_mem_cylinder
variable (E)
variable [∀ n, TopologicalSpace (E n)] [∀ n, DiscreteTopology (E n)]
theorem isOpen_cylinder (x : ∀ n, E n) (n : ℕ) : IsOpen (cylinder x n) := by
rw [PiNat.cylinder_eq_pi]
exact isOpen_set_pi (Finset.range n).finite_toSet fun a _ => isOpen_discrete _
#align pi_nat.is_open_cylinder PiNat.isOpen_cylinder
theorem isTopologicalBasis_cylinders :
IsTopologicalBasis { s : Set (∀ n, E n) | ∃ (x : ∀ n, E n) (n : ℕ), s = cylinder x n } := by
apply isTopologicalBasis_of_isOpen_of_nhds
· rintro u ⟨x, n, rfl⟩
apply isOpen_cylinder
· intro x u hx u_open
obtain ⟨v, ⟨U, F, -, rfl⟩, xU, Uu⟩ :
∃ v ∈ { S : Set (∀ i : ℕ, E i) | ∃ (U : ∀ i : ℕ, Set (E i)) (F : Finset ℕ),
(∀ i : ℕ, i ∈ F → U i ∈ { s : Set (E i) | IsOpen s }) ∧ S = (F : Set ℕ).pi U },
x ∈ v ∧ v ⊆ u :=
(isTopologicalBasis_pi fun n : ℕ => isTopologicalBasis_opens).exists_subset_of_mem_open hx
u_open
rcases Finset.bddAbove F with ⟨n, hn⟩
refine ⟨cylinder x (n + 1), ⟨x, n + 1, rfl⟩, self_mem_cylinder _ _, Subset.trans ?_ Uu⟩
intro y hy
suffices ∀ i : ℕ, i ∈ F → y i ∈ U i by simpa
intro i hi
have : y i = x i := mem_cylinder_iff.1 hy i ((hn hi).trans_lt (lt_add_one n))
rw [this]
simp only [Set.mem_pi, Finset.mem_coe] at xU
exact xU i hi
#align pi_nat.is_topological_basis_cylinders PiNat.isTopologicalBasis_cylinders
variable {E}
theorem isOpen_iff_dist (s : Set (∀ n, E n)) :
IsOpen s ↔ ∀ x ∈ s, ∃ ε > 0, ∀ y, dist x y < ε → y ∈ s := by
constructor
· intro hs x hx
obtain ⟨v, ⟨y, n, rfl⟩, h'x, h's⟩ :
∃ v ∈ { s | ∃ (x : ∀ n : ℕ, E n) (n : ℕ), s = cylinder x n }, x ∈ v ∧ v ⊆ s :=
(isTopologicalBasis_cylinders E).exists_subset_of_mem_open hx hs
rw [← mem_cylinder_iff_eq.1 h'x] at h's
exact
⟨(1 / 2 : ℝ) ^ n, by simp, fun y hy => h's fun i hi => (apply_eq_of_dist_lt hy hi.le).symm⟩
· intro h
refine (isTopologicalBasis_cylinders E).isOpen_iff.2 fun x hx => ?_
rcases h x hx with ⟨ε, εpos, hε⟩
obtain ⟨n, hn⟩ : ∃ n : ℕ, (1 / 2 : ℝ) ^ n < ε := exists_pow_lt_of_lt_one εpos one_half_lt_one
refine ⟨cylinder x n, ⟨x, n, rfl⟩, self_mem_cylinder x n, fun y hy => hε y ?_⟩
rw [PiNat.dist_comm]
exact (mem_cylinder_iff_dist_le.1 hy).trans_lt hn
#align pi_nat.is_open_iff_dist PiNat.isOpen_iff_dist
/-- Metric space structure on `Π (n : ℕ), E n` when the spaces `E n` have the discrete topology,
where the distance is given by `dist x y = (1/2)^n`, where `n` is the smallest index where `x` and
`y` differ. Not registered as a global instance by default.
Warning: this definition makes sure that the topology is defeq to the original product topology,
but it does not take care of a possible uniformity. If the `E n` have a uniform structure, then
there will be two non-defeq uniform structures on `Π n, E n`, the product one and the one coming
from the metric structure. In this case, use `metricSpaceOfDiscreteUniformity` instead. -/
protected def metricSpace : MetricSpace (∀ n, E n) :=
MetricSpace.ofDistTopology dist PiNat.dist_self PiNat.dist_comm PiNat.dist_triangle
isOpen_iff_dist PiNat.eq_of_dist_eq_zero
#align pi_nat.metric_space PiNat.metricSpace
/-- Metric space structure on `Π (n : ℕ), E n` when the spaces `E n` have the discrete uniformity,
where the distance is given by `dist x y = (1/2)^n`, where `n` is the smallest index where `x` and
`y` differ. Not registered as a global instance by default. -/
protected def metricSpaceOfDiscreteUniformity {E : ℕ → Type*} [∀ n, UniformSpace (E n)]
(h : ∀ n, uniformity (E n) = 𝓟 idRel) : MetricSpace (∀ n, E n) :=
haveI : ∀ n, DiscreteTopology (E n) := fun n => discreteTopology_of_discrete_uniformity (h n)
{ dist_triangle := PiNat.dist_triangle
dist_comm := PiNat.dist_comm
dist_self := PiNat.dist_self
eq_of_dist_eq_zero := PiNat.eq_of_dist_eq_zero _ _
edist_dist := fun _ _ ↦ by exact ENNReal.coe_nnreal_eq _
toUniformSpace := Pi.uniformSpace _
uniformity_dist := by
simp [Pi.uniformity, comap_iInf, gt_iff_lt, preimage_setOf_eq, comap_principal,
PseudoMetricSpace.uniformity_dist, h, idRel]
apply le_antisymm
· simp only [le_iInf_iff, le_principal_iff]
intro ε εpos
obtain ⟨n, hn⟩ : ∃ n, (1 / 2 : ℝ) ^ n < ε := exists_pow_lt_of_lt_one εpos (by norm_num)
apply
@mem_iInf_of_iInter _ _ _ _ _ (Finset.range n).finite_toSet fun i =>
{ p : (∀ n : ℕ, E n) × ∀ n : ℕ, E n | p.fst i = p.snd i }
· simp only [mem_principal, setOf_subset_setOf, imp_self, imp_true_iff]
· rintro ⟨x, y⟩ hxy
simp only [Finset.mem_coe, Finset.mem_range, iInter_coe_set, mem_iInter, mem_setOf_eq]
at hxy
apply lt_of_le_of_lt _ hn
rw [← mem_cylinder_iff_dist_le, mem_cylinder_iff]
exact hxy
· simp only [le_iInf_iff, le_principal_iff]
intro n
refine mem_iInf_of_mem ((1 / 2) ^ n : ℝ) ?_
refine mem_iInf_of_mem (by positivity) ?_
simp only [mem_principal, setOf_subset_setOf, Prod.forall]
intro x y hxy
exact apply_eq_of_dist_lt hxy le_rfl }
#align pi_nat.metric_space_of_discrete_uniformity PiNat.metricSpaceOfDiscreteUniformity
/-- Metric space structure on `ℕ → ℕ` where the distance is given by `dist x y = (1/2)^n`,
where `n` is the smallest index where `x` and `y` differ.
Not registered as a global instance by default. -/
def metricSpaceNatNat : MetricSpace (ℕ → ℕ) :=
PiNat.metricSpaceOfDiscreteUniformity fun _ => rfl
#align pi_nat.metric_space_nat_nat PiNat.metricSpaceNatNat
attribute [local instance] PiNat.metricSpace
protected theorem completeSpace : CompleteSpace (∀ n, E n) := by
refine Metric.complete_of_convergent_controlled_sequences (fun n => (1 / 2) ^ n) (by simp) ?_
intro u hu
refine ⟨fun n => u n n, tendsto_pi_nhds.2 fun i => ?_⟩
refine tendsto_const_nhds.congr' ?_
filter_upwards [Filter.Ici_mem_atTop i] with n hn
exact apply_eq_of_dist_lt (hu i i n le_rfl hn) le_rfl
#align pi_nat.complete_space PiNat.completeSpace
/-!
### Retractions inside product spaces
We show that, in a space `Π (n : ℕ), E n` where each `E n` is discrete, there is a retraction on
any closed nonempty subset `s`, i.e., a continuous map `f` from the whole space to `s` restricting
to the identity on `s`. The map `f` is defined as follows. For `x ∈ s`, let `f x = x`. Otherwise,
consider the longest prefix `w` that `x` shares with an element of `s`, and let `f x = z_w`
where `z_w` is an element of `s` starting with `w`.
-/
theorem exists_disjoint_cylinder {s : Set (∀ n, E n)} (hs : IsClosed s) {x : ∀ n, E n}
(hx : x ∉ s) : ∃ n, Disjoint s (cylinder x n) := by
rcases eq_empty_or_nonempty s with (rfl | hne)
· exact ⟨0, by simp⟩
have A : 0 < infDist x s := (hs.not_mem_iff_infDist_pos hne).1 hx
obtain ⟨n, hn⟩ : ∃ n, (1 / 2 : ℝ) ^ n < infDist x s := exists_pow_lt_of_lt_one A one_half_lt_one
refine ⟨n, disjoint_left.2 fun y ys hy => ?_⟩
apply lt_irrefl (infDist x s)
calc
infDist x s ≤ dist x y := infDist_le_dist_of_mem ys
_ ≤ (1 / 2) ^ n := by
rw [mem_cylinder_comm] at hy
exact mem_cylinder_iff_dist_le.1 hy
_ < infDist x s := hn
#align pi_nat.exists_disjoint_cylinder PiNat.exists_disjoint_cylinder
/-- Given a point `x` in a product space `Π (n : ℕ), E n`, and `s` a subset of this space, then
`shortestPrefixDiff x s` if the smallest `n` for which there is no element of `s` having the same
prefix of length `n` as `x`. If there is no such `n`, then use `0` by convention. -/
def shortestPrefixDiff {E : ℕ → Type*} (x : ∀ n, E n) (s : Set (∀ n, E n)) : ℕ :=
if h : ∃ n, Disjoint s (cylinder x n) then Nat.find h else 0
#align pi_nat.shortest_prefix_diff PiNat.shortestPrefixDiff
theorem firstDiff_lt_shortestPrefixDiff {s : Set (∀ n, E n)} (hs : IsClosed s) {x y : ∀ n, E n}
(hx : x ∉ s) (hy : y ∈ s) : firstDiff x y < shortestPrefixDiff x s := by
have A := exists_disjoint_cylinder hs hx
rw [shortestPrefixDiff, dif_pos A]
have B := Nat.find_spec A
contrapose! B
rw [not_disjoint_iff_nonempty_inter]
refine ⟨y, hy, ?_⟩
rw [mem_cylinder_comm]
exact cylinder_anti y B (mem_cylinder_firstDiff x y)
#align pi_nat.first_diff_lt_shortest_prefix_diff PiNat.firstDiff_lt_shortestPrefixDiff
| Mathlib/Topology/MetricSpace/PiNat.lean | 522 | 525 | theorem shortestPrefixDiff_pos {s : Set (∀ n, E n)} (hs : IsClosed s) (hne : s.Nonempty)
{x : ∀ n, E n} (hx : x ∉ s) : 0 < shortestPrefixDiff x s := by |
rcases hne with ⟨y, hy⟩
exact (zero_le _).trans_lt (firstDiff_lt_shortestPrefixDiff hs hx hy)
|
/-
Copyright (c) 2022 Aaron Anderson. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Aaron Anderson
-/
import Mathlib.Data.Fintype.Basic
import Mathlib.ModelTheory.Substructures
#align_import model_theory.elementary_maps from "leanprover-community/mathlib"@"d11893b411025250c8e61ff2f12ccbd7ee35ab15"
/-!
# Elementary Maps Between First-Order Structures
## Main Definitions
* A `FirstOrder.Language.ElementaryEmbedding` is an embedding that commutes with the
realizations of formulas.
* The `FirstOrder.Language.elementaryDiagram` of a structure is the set of all sentences with
parameters that the structure satisfies.
* `FirstOrder.Language.ElementaryEmbedding.ofModelsElementaryDiagram` is the canonical
elementary embedding of any structure into a model of its elementary diagram.
## Main Results
* The Tarski-Vaught Test for embeddings: `FirstOrder.Language.Embedding.isElementary_of_exists`
gives a simple criterion for an embedding to be elementary.
-/
open FirstOrder
namespace FirstOrder
namespace Language
open Structure
variable (L : Language) (M : Type*) (N : Type*) {P : Type*} {Q : Type*}
variable [L.Structure M] [L.Structure N] [L.Structure P] [L.Structure Q]
/-- An elementary embedding of first-order structures is an embedding that commutes with the
realizations of formulas. -/
structure ElementaryEmbedding where
toFun : M → N
-- Porting note:
-- The autoparam here used to be `obviously`. We would like to replace it with `aesop`
-- but that isn't currently sufficient.
-- See https://leanprover.zulipchat.com/#narrow/stream/287929-mathlib4/topic/Aesop.20and.20cases
-- If that can be improved, we should change this to `by aesop` and remove the proofs below.
map_formula' :
∀ ⦃n⦄ (φ : L.Formula (Fin n)) (x : Fin n → M), φ.Realize (toFun ∘ x) ↔ φ.Realize x := by
intros; trivial
#align first_order.language.elementary_embedding FirstOrder.Language.ElementaryEmbedding
#align first_order.language.elementary_embedding.to_fun FirstOrder.Language.ElementaryEmbedding.toFun
#align first_order.language.elementary_embedding.map_formula' FirstOrder.Language.ElementaryEmbedding.map_formula'
@[inherit_doc FirstOrder.Language.ElementaryEmbedding]
scoped[FirstOrder] notation:25 A " ↪ₑ[" L "] " B => FirstOrder.Language.ElementaryEmbedding L A B
variable {L} {M} {N}
namespace ElementaryEmbedding
attribute [coe] toFun
instance instFunLike : FunLike (M ↪ₑ[L] N) M N where
coe f := f.toFun
coe_injective' f g h := by
cases f
cases g
simp only [ElementaryEmbedding.mk.injEq]
ext x
exact Function.funext_iff.1 h x
#align first_order.language.elementary_embedding.fun_like FirstOrder.Language.ElementaryEmbedding.instFunLike
instance : CoeFun (M ↪ₑ[L] N) fun _ => M → N :=
DFunLike.hasCoeToFun
@[simp]
theorem map_boundedFormula (f : M ↪ₑ[L] N) {α : Type*} {n : ℕ} (φ : L.BoundedFormula α n)
(v : α → M) (xs : Fin n → M) : φ.Realize (f ∘ v) (f ∘ xs) ↔ φ.Realize v xs := by
classical
rw [← BoundedFormula.realize_restrictFreeVar Set.Subset.rfl, Set.inclusion_eq_id, iff_eq_eq]
have h :=
f.map_formula' ((φ.restrictFreeVar id).toFormula.relabel (Fintype.equivFin _))
(Sum.elim (v ∘ (↑)) xs ∘ (Fintype.equivFin _).symm)
simp only [Formula.realize_relabel, BoundedFormula.realize_toFormula, iff_eq_eq] at h
rw [← Function.comp.assoc _ _ (Fintype.equivFin _).symm,
Function.comp.assoc _ (Fintype.equivFin _).symm (Fintype.equivFin _),
_root_.Equiv.symm_comp_self, Function.comp_id, Function.comp.assoc, Sum.elim_comp_inl,
Function.comp.assoc _ _ Sum.inr, Sum.elim_comp_inr, ← Function.comp.assoc] at h
refine h.trans ?_
erw [Function.comp.assoc _ _ (Fintype.equivFin _), _root_.Equiv.symm_comp_self,
Function.comp_id, Sum.elim_comp_inl, Sum.elim_comp_inr (v ∘ Subtype.val) xs,
← Set.inclusion_eq_id (s := (BoundedFormula.freeVarFinset φ : Set α)) Set.Subset.rfl,
BoundedFormula.realize_restrictFreeVar Set.Subset.rfl]
#align first_order.language.elementary_embedding.map_bounded_formula FirstOrder.Language.ElementaryEmbedding.map_boundedFormula
@[simp]
theorem map_formula (f : M ↪ₑ[L] N) {α : Type*} (φ : L.Formula α) (x : α → M) :
φ.Realize (f ∘ x) ↔ φ.Realize x := by
rw [Formula.Realize, Formula.Realize, ← f.map_boundedFormula, Unique.eq_default (f ∘ default)]
#align first_order.language.elementary_embedding.map_formula FirstOrder.Language.ElementaryEmbedding.map_formula
| Mathlib/ModelTheory/ElementaryMaps.lean | 103 | 104 | theorem map_sentence (f : M ↪ₑ[L] N) (φ : L.Sentence) : M ⊨ φ ↔ N ⊨ φ := by |
rw [Sentence.Realize, Sentence.Realize, ← f.map_formula, Unique.eq_default (f ∘ default)]
|
/-
Copyright (c) 2020 Johan Commelin. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johan Commelin
-/
import Mathlib.Algebra.Algebra.RestrictScalars
import Mathlib.Algebra.Algebra.Subalgebra.Basic
import Mathlib.LinearAlgebra.Quotient
import Mathlib.LinearAlgebra.StdBasis
import Mathlib.GroupTheory.Finiteness
import Mathlib.RingTheory.Ideal.Maps
import Mathlib.RingTheory.Nilpotent.Defs
#align_import ring_theory.finiteness from "leanprover-community/mathlib"@"c813ed7de0f5115f956239124e9b30f3a621966f"
/-!
# Finiteness conditions in commutative algebra
In this file we define a notion of finiteness that is common in commutative algebra.
## Main declarations
- `Submodule.FG`, `Ideal.FG`
These express that some object is finitely generated as *submodule* over some base ring.
- `Module.Finite`, `RingHom.Finite`, `AlgHom.Finite`
all of these express that some object is finitely generated *as module* over some base ring.
## Main results
* `exists_sub_one_mem_and_smul_eq_zero_of_fg_of_le_smul` is Nakayama's lemma, in the following form:
if N is a finitely generated submodule of an ambient R-module M and I is an ideal of R
such that N ⊆ IN, then there exists r ∈ 1 + I such that rN = 0.
-/
open Function (Surjective)
namespace Submodule
variable {R : Type*} {M : Type*} [Semiring R] [AddCommMonoid M] [Module R M]
open Set
/-- A submodule of `M` is finitely generated if it is the span of a finite subset of `M`. -/
def FG (N : Submodule R M) : Prop :=
∃ S : Finset M, Submodule.span R ↑S = N
#align submodule.fg Submodule.FG
theorem fg_def {N : Submodule R M} : N.FG ↔ ∃ S : Set M, S.Finite ∧ span R S = N :=
⟨fun ⟨t, h⟩ => ⟨_, Finset.finite_toSet t, h⟩, by
rintro ⟨t', h, rfl⟩
rcases Finite.exists_finset_coe h with ⟨t, rfl⟩
exact ⟨t, rfl⟩⟩
#align submodule.fg_def Submodule.fg_def
theorem fg_iff_addSubmonoid_fg (P : Submodule ℕ M) : P.FG ↔ P.toAddSubmonoid.FG :=
⟨fun ⟨S, hS⟩ => ⟨S, by simpa [← span_nat_eq_addSubmonoid_closure] using hS⟩, fun ⟨S, hS⟩ =>
⟨S, by simpa [← span_nat_eq_addSubmonoid_closure] using hS⟩⟩
#align submodule.fg_iff_add_submonoid_fg Submodule.fg_iff_addSubmonoid_fg
theorem fg_iff_add_subgroup_fg {G : Type*} [AddCommGroup G] (P : Submodule ℤ G) :
P.FG ↔ P.toAddSubgroup.FG :=
⟨fun ⟨S, hS⟩ => ⟨S, by simpa [← span_int_eq_addSubgroup_closure] using hS⟩, fun ⟨S, hS⟩ =>
⟨S, by simpa [← span_int_eq_addSubgroup_closure] using hS⟩⟩
#align submodule.fg_iff_add_subgroup_fg Submodule.fg_iff_add_subgroup_fg
theorem fg_iff_exists_fin_generating_family {N : Submodule R M} :
N.FG ↔ ∃ (n : ℕ) (s : Fin n → M), span R (range s) = N := by
rw [fg_def]
constructor
· rintro ⟨S, Sfin, hS⟩
obtain ⟨n, f, rfl⟩ := Sfin.fin_embedding
exact ⟨n, f, hS⟩
· rintro ⟨n, s, hs⟩
exact ⟨range s, finite_range s, hs⟩
#align submodule.fg_iff_exists_fin_generating_family Submodule.fg_iff_exists_fin_generating_family
/-- **Nakayama's Lemma**. Atiyah-Macdonald 2.5, Eisenbud 4.7, Matsumura 2.2,
[Stacks 00DV](https://stacks.math.columbia.edu/tag/00DV) -/
theorem exists_sub_one_mem_and_smul_eq_zero_of_fg_of_le_smul {R : Type*} [CommRing R] {M : Type*}
[AddCommGroup M] [Module R M] (I : Ideal R) (N : Submodule R M) (hn : N.FG) (hin : N ≤ I • N) :
∃ r : R, r - 1 ∈ I ∧ ∀ n ∈ N, r • n = (0 : M) := by
rw [fg_def] at hn
rcases hn with ⟨s, hfs, hs⟩
have : ∃ r : R, r - 1 ∈ I ∧ N ≤ (I • span R s).comap (LinearMap.lsmul R M r) ∧ s ⊆ N := by
refine ⟨1, ?_, ?_, ?_⟩
· rw [sub_self]
exact I.zero_mem
· rw [hs]
intro n hn
rw [mem_comap]
change (1 : R) • n ∈ I • N
rw [one_smul]
exact hin hn
· rw [← span_le, hs]
clear hin hs
revert this
refine Set.Finite.dinduction_on _ hfs (fun H => ?_) @fun i s _ _ ih H => ?_
· rcases H with ⟨r, hr1, hrn, _⟩
refine ⟨r, hr1, fun n hn => ?_⟩
specialize hrn hn
rwa [mem_comap, span_empty, smul_bot, mem_bot] at hrn
apply ih
rcases H with ⟨r, hr1, hrn, hs⟩
rw [← Set.singleton_union, span_union, smul_sup] at hrn
rw [Set.insert_subset_iff] at hs
have : ∃ c : R, c - 1 ∈ I ∧ c • i ∈ I • span R s := by
specialize hrn hs.1
rw [mem_comap, mem_sup] at hrn
rcases hrn with ⟨y, hy, z, hz, hyz⟩
dsimp at hyz
rw [mem_smul_span_singleton] at hy
rcases hy with ⟨c, hci, rfl⟩
use r - c
constructor
· rw [sub_right_comm]
exact I.sub_mem hr1 hci
· rw [sub_smul, ← hyz, add_sub_cancel_left]
exact hz
rcases this with ⟨c, hc1, hci⟩
refine ⟨c * r, ?_, ?_, hs.2⟩
· simpa only [mul_sub, mul_one, sub_add_sub_cancel] using I.add_mem (I.mul_mem_left c hr1) hc1
· intro n hn
specialize hrn hn
rw [mem_comap, mem_sup] at hrn
rcases hrn with ⟨y, hy, z, hz, hyz⟩
dsimp at hyz
rw [mem_smul_span_singleton] at hy
rcases hy with ⟨d, _, rfl⟩
simp only [mem_comap, LinearMap.lsmul_apply]
rw [mul_smul, ← hyz, smul_add, smul_smul, mul_comm, mul_smul]
exact add_mem (smul_mem _ _ hci) (smul_mem _ _ hz)
#align submodule.exists_sub_one_mem_and_smul_eq_zero_of_fg_of_le_smul Submodule.exists_sub_one_mem_and_smul_eq_zero_of_fg_of_le_smul
theorem exists_mem_and_smul_eq_self_of_fg_of_le_smul {R : Type*} [CommRing R] {M : Type*}
[AddCommGroup M] [Module R M] (I : Ideal R) (N : Submodule R M) (hn : N.FG) (hin : N ≤ I • N) :
∃ r ∈ I, ∀ n ∈ N, r • n = n := by
obtain ⟨r, hr, hr'⟩ := exists_sub_one_mem_and_smul_eq_zero_of_fg_of_le_smul I N hn hin
exact ⟨-(r - 1), I.neg_mem hr, fun n hn => by simpa [sub_smul] using hr' n hn⟩
#align submodule.exists_mem_and_smul_eq_self_of_fg_of_le_smul Submodule.exists_mem_and_smul_eq_self_of_fg_of_le_smul
theorem fg_bot : (⊥ : Submodule R M).FG :=
⟨∅, by rw [Finset.coe_empty, span_empty]⟩
#align submodule.fg_bot Submodule.fg_bot
theorem _root_.Subalgebra.fg_bot_toSubmodule {R A : Type*} [CommSemiring R] [Semiring A]
[Algebra R A] : (⊥ : Subalgebra R A).toSubmodule.FG :=
⟨{1}, by simp [Algebra.toSubmodule_bot, one_eq_span]⟩
#align subalgebra.fg_bot_to_submodule Subalgebra.fg_bot_toSubmodule
theorem fg_unit {R A : Type*} [CommSemiring R] [Semiring A] [Algebra R A] (I : (Submodule R A)ˣ) :
(I : Submodule R A).FG := by
have : (1 : A) ∈ (I * ↑I⁻¹ : Submodule R A) := by
rw [I.mul_inv]
exact one_le.mp le_rfl
obtain ⟨T, T', hT, hT', one_mem⟩ := mem_span_mul_finite_of_mem_mul this
refine ⟨T, span_eq_of_le _ hT ?_⟩
rw [← one_mul I, ← mul_one (span R (T : Set A))]
conv_rhs => rw [← I.inv_mul, ← mul_assoc]
refine mul_le_mul_left (le_trans ?_ <| mul_le_mul_right <| span_le.mpr hT')
simp only [Units.val_one, span_mul_span]
rwa [one_le]
#align submodule.fg_unit Submodule.fg_unit
theorem fg_of_isUnit {R A : Type*} [CommSemiring R] [Semiring A] [Algebra R A] {I : Submodule R A}
(hI : IsUnit I) : I.FG :=
fg_unit hI.unit
#align submodule.fg_of_is_unit Submodule.fg_of_isUnit
theorem fg_span {s : Set M} (hs : s.Finite) : FG (span R s) :=
⟨hs.toFinset, by rw [hs.coe_toFinset]⟩
#align submodule.fg_span Submodule.fg_span
theorem fg_span_singleton (x : M) : FG (R ∙ x) :=
fg_span (finite_singleton x)
#align submodule.fg_span_singleton Submodule.fg_span_singleton
theorem FG.sup {N₁ N₂ : Submodule R M} (hN₁ : N₁.FG) (hN₂ : N₂.FG) : (N₁ ⊔ N₂).FG :=
let ⟨t₁, ht₁⟩ := fg_def.1 hN₁
let ⟨t₂, ht₂⟩ := fg_def.1 hN₂
fg_def.2 ⟨t₁ ∪ t₂, ht₁.1.union ht₂.1, by rw [span_union, ht₁.2, ht₂.2]⟩
#align submodule.fg.sup Submodule.FG.sup
theorem fg_finset_sup {ι : Type*} (s : Finset ι) (N : ι → Submodule R M) (h : ∀ i ∈ s, (N i).FG) :
(s.sup N).FG :=
Finset.sup_induction fg_bot (fun _ ha _ hb => ha.sup hb) h
#align submodule.fg_finset_sup Submodule.fg_finset_sup
theorem fg_biSup {ι : Type*} (s : Finset ι) (N : ι → Submodule R M) (h : ∀ i ∈ s, (N i).FG) :
(⨆ i ∈ s, N i).FG := by simpa only [Finset.sup_eq_iSup] using fg_finset_sup s N h
#align submodule.fg_bsupr Submodule.fg_biSup
theorem fg_iSup {ι : Sort*} [Finite ι] (N : ι → Submodule R M) (h : ∀ i, (N i).FG) :
(iSup N).FG := by
cases nonempty_fintype (PLift ι)
simpa [iSup_plift_down] using fg_biSup Finset.univ (N ∘ PLift.down) fun i _ => h i.down
#align submodule.fg_supr Submodule.fg_iSup
variable {P : Type*} [AddCommMonoid P] [Module R P]
variable (f : M →ₗ[R] P)
theorem FG.map {N : Submodule R M} (hs : N.FG) : (N.map f).FG :=
let ⟨t, ht⟩ := fg_def.1 hs
fg_def.2 ⟨f '' t, ht.1.image _, by rw [span_image, ht.2]⟩
#align submodule.fg.map Submodule.FG.map
variable {f}
theorem fg_of_fg_map_injective (f : M →ₗ[R] P) (hf : Function.Injective f) {N : Submodule R M}
(hfn : (N.map f).FG) : N.FG :=
let ⟨t, ht⟩ := hfn
⟨t.preimage f fun x _ y _ h => hf h,
Submodule.map_injective_of_injective hf <| by
rw [map_span, Finset.coe_preimage, Set.image_preimage_eq_inter_range,
Set.inter_eq_self_of_subset_left, ht]
rw [← LinearMap.range_coe, ← span_le, ht, ← map_top]
exact map_mono le_top⟩
#align submodule.fg_of_fg_map_injective Submodule.fg_of_fg_map_injective
theorem fg_of_fg_map {R M P : Type*} [Ring R] [AddCommGroup M] [Module R M] [AddCommGroup P]
[Module R P] (f : M →ₗ[R] P)
(hf : LinearMap.ker f = ⊥) {N : Submodule R M}
(hfn : (N.map f).FG) : N.FG :=
fg_of_fg_map_injective f (LinearMap.ker_eq_bot.1 hf) hfn
#align submodule.fg_of_fg_map Submodule.fg_of_fg_map
theorem fg_top (N : Submodule R M) : (⊤ : Submodule R N).FG ↔ N.FG :=
⟨fun h => N.range_subtype ▸ map_top N.subtype ▸ h.map _, fun h =>
fg_of_fg_map_injective N.subtype Subtype.val_injective <| by rwa [map_top, range_subtype]⟩
#align submodule.fg_top Submodule.fg_top
theorem fg_of_linearEquiv (e : M ≃ₗ[R] P) (h : (⊤ : Submodule R P).FG) : (⊤ : Submodule R M).FG :=
e.symm.range ▸ map_top (e.symm : P →ₗ[R] M) ▸ h.map _
#align submodule.fg_of_linear_equiv Submodule.fg_of_linearEquiv
theorem FG.prod {sb : Submodule R M} {sc : Submodule R P} (hsb : sb.FG) (hsc : sc.FG) :
(sb.prod sc).FG :=
let ⟨tb, htb⟩ := fg_def.1 hsb
let ⟨tc, htc⟩ := fg_def.1 hsc
fg_def.2
⟨LinearMap.inl R M P '' tb ∪ LinearMap.inr R M P '' tc, (htb.1.image _).union (htc.1.image _),
by rw [LinearMap.span_inl_union_inr, htb.2, htc.2]⟩
#align submodule.fg.prod Submodule.FG.prod
theorem fg_pi {ι : Type*} {M : ι → Type*} [Finite ι] [∀ i, AddCommMonoid (M i)]
[∀ i, Module R (M i)] {p : ∀ i, Submodule R (M i)} (hsb : ∀ i, (p i).FG) :
(Submodule.pi Set.univ p).FG := by
classical
simp_rw [fg_def] at hsb ⊢
choose t htf hts using hsb
refine
⟨⋃ i, (LinearMap.single i : _ →ₗ[R] _) '' t i, Set.finite_iUnion fun i => (htf i).image _, ?_⟩
-- Note: #8386 changed `span_image` into `span_image _`
simp_rw [span_iUnion, span_image _, hts, Submodule.iSup_map_single]
#align submodule.fg_pi Submodule.fg_pi
/-- If 0 → M' → M → M'' → 0 is exact and M' and M'' are
finitely generated then so is M. -/
theorem fg_of_fg_map_of_fg_inf_ker {R M P : Type*} [Ring R] [AddCommGroup M] [Module R M]
[AddCommGroup P] [Module R P] (f : M →ₗ[R] P) {s : Submodule R M}
(hs1 : (s.map f).FG)
(hs2 : (s ⊓ LinearMap.ker f).FG) : s.FG := by
haveI := Classical.decEq R
haveI := Classical.decEq M
haveI := Classical.decEq P
cases' hs1 with t1 ht1
cases' hs2 with t2 ht2
have : ∀ y ∈ t1, ∃ x ∈ s, f x = y := by
intro y hy
have : y ∈ s.map f := by
rw [← ht1]
exact subset_span hy
rcases mem_map.1 this with ⟨x, hx1, hx2⟩
exact ⟨x, hx1, hx2⟩
have : ∃ g : P → M, ∀ y ∈ t1, g y ∈ s ∧ f (g y) = y := by
choose g hg1 hg2 using this
exists fun y => if H : y ∈ t1 then g y H else 0
intro y H
constructor
· simp only [dif_pos H]
apply hg1
· simp only [dif_pos H]
apply hg2
cases' this with g hg
clear this
exists t1.image g ∪ t2
rw [Finset.coe_union, span_union, Finset.coe_image]
apply le_antisymm
· refine sup_le (span_le.2 <| image_subset_iff.2 ?_) (span_le.2 ?_)
· intro y hy
exact (hg y hy).1
· intro x hx
have : x ∈ span R t2 := subset_span hx
rw [ht2] at this
exact this.1
intro x hx
have : f x ∈ s.map f := by
rw [mem_map]
exact ⟨x, hx, rfl⟩
rw [← ht1, ← Set.image_id (t1 : Set P), Finsupp.mem_span_image_iff_total] at this
rcases this with ⟨l, hl1, hl2⟩
refine
mem_sup.2
⟨(Finsupp.total M M R id).toFun ((Finsupp.lmapDomain R R g : (P →₀ R) → M →₀ R) l), ?_,
x - Finsupp.total M M R id ((Finsupp.lmapDomain R R g : (P →₀ R) → M →₀ R) l), ?_,
add_sub_cancel _ _⟩
· rw [← Set.image_id (g '' ↑t1), Finsupp.mem_span_image_iff_total]
refine ⟨_, ?_, rfl⟩
haveI : Inhabited P := ⟨0⟩
rw [← Finsupp.lmapDomain_supported _ _ g, mem_map]
refine ⟨l, hl1, ?_⟩
rfl
rw [ht2, mem_inf]
constructor
· apply s.sub_mem hx
rw [Finsupp.total_apply, Finsupp.lmapDomain_apply, Finsupp.sum_mapDomain_index]
· refine s.sum_mem ?_
intro y hy
exact s.smul_mem _ (hg y (hl1 hy)).1
· exact zero_smul _
· exact fun _ _ _ => add_smul _ _ _
· rw [LinearMap.mem_ker, f.map_sub, ← hl2]
rw [Finsupp.total_apply, Finsupp.total_apply, Finsupp.lmapDomain_apply]
rw [Finsupp.sum_mapDomain_index, Finsupp.sum, Finsupp.sum, map_sum]
· rw [sub_eq_zero]
refine Finset.sum_congr rfl fun y hy => ?_
unfold id
rw [f.map_smul, (hg y (hl1 hy)).2]
· exact zero_smul _
· exact fun _ _ _ => add_smul _ _ _
#align submodule.fg_of_fg_map_of_fg_inf_ker Submodule.fg_of_fg_map_of_fg_inf_ker
theorem fg_induction (R M : Type*) [Semiring R] [AddCommMonoid M] [Module R M]
(P : Submodule R M → Prop) (h₁ : ∀ x, P (Submodule.span R {x}))
(h₂ : ∀ M₁ M₂, P M₁ → P M₂ → P (M₁ ⊔ M₂)) (N : Submodule R M) (hN : N.FG) : P N := by
classical
obtain ⟨s, rfl⟩ := hN
induction s using Finset.induction
· rw [Finset.coe_empty, Submodule.span_empty, ← Submodule.span_zero_singleton]
apply h₁
· rw [Finset.coe_insert, Submodule.span_insert]
apply h₂ <;> apply_assumption
#align submodule.fg_induction Submodule.fg_induction
/-- The kernel of the composition of two linear maps is finitely generated if both kernels are and
the first morphism is surjective. -/
theorem fg_ker_comp {R M N P : Type*} [Ring R] [AddCommGroup M] [Module R M] [AddCommGroup N]
[Module R N] [AddCommGroup P] [Module R P] (f : M →ₗ[R] N) (g : N →ₗ[R] P)
(hf1 : (LinearMap.ker f).FG) (hf2 : (LinearMap.ker g).FG)
(hsur : Function.Surjective f) : (g.comp f).ker.FG := by
rw [LinearMap.ker_comp]
apply fg_of_fg_map_of_fg_inf_ker f
· rwa [Submodule.map_comap_eq, LinearMap.range_eq_top.2 hsur, top_inf_eq]
· rwa [inf_of_le_right (show (LinearMap.ker f) ≤
(LinearMap.ker g).comap f from comap_mono bot_le)]
#align submodule.fg_ker_comp Submodule.fg_ker_comp
theorem fg_restrictScalars {R S M : Type*} [CommSemiring R] [Semiring S] [Algebra R S]
[AddCommGroup M] [Module S M] [Module R M] [IsScalarTower R S M] (N : Submodule S M)
(hfin : N.FG) (h : Function.Surjective (algebraMap R S)) :
(Submodule.restrictScalars R N).FG := by
obtain ⟨X, rfl⟩ := hfin
use X
exact (Submodule.restrictScalars_span R S h (X : Set M)).symm
#align submodule.fg_restrict_scalars Submodule.fg_restrictScalars
theorem FG.stabilizes_of_iSup_eq {M' : Submodule R M} (hM' : M'.FG) (N : ℕ →o Submodule R M)
(H : iSup N = M') : ∃ n, M' = N n := by
obtain ⟨S, hS⟩ := hM'
have : ∀ s : S, ∃ n, (s : M) ∈ N n := fun s =>
(Submodule.mem_iSup_of_chain N s).mp
(by
rw [H, ← hS]
exact Submodule.subset_span s.2)
choose f hf using this
use S.attach.sup f
apply le_antisymm
· conv_lhs => rw [← hS]
rw [Submodule.span_le]
intro s hs
exact N.2 (Finset.le_sup <| S.mem_attach ⟨s, hs⟩) (hf _)
· rw [← H]
exact le_iSup _ _
#align submodule.fg.stablizes_of_supr_eq Submodule.FG.stabilizes_of_iSup_eq
/-- Finitely generated submodules are precisely compact elements in the submodule lattice. -/
| Mathlib/RingTheory/Finiteness.lean | 389 | 415 | theorem fg_iff_compact (s : Submodule R M) : s.FG ↔ CompleteLattice.IsCompactElement s := by |
classical
-- Introduce shorthand for span of an element
let sp : M → Submodule R M := fun a => span R {a}
-- Trivial rewrite lemma; a small hack since simp (only) & rw can't accomplish this smoothly.
have supr_rw : ∀ t : Finset M, ⨆ x ∈ t, sp x = ⨆ x ∈ (↑t : Set M), sp x := fun t => by rfl
constructor
· rintro ⟨t, rfl⟩
rw [span_eq_iSup_of_singleton_spans, ← supr_rw, ← Finset.sup_eq_iSup t sp]
apply CompleteLattice.isCompactElement_finsetSup
exact fun n _ => singleton_span_isCompactElement n
· intro h
-- s is the Sup of the spans of its elements.
have sSup' : s = sSup (sp '' ↑s) := by
rw [sSup_eq_iSup, iSup_image, ← span_eq_iSup_of_singleton_spans, eq_comm, span_eq]
-- by h, s is then below (and equal to) the sup of the spans of finitely many elements.
obtain ⟨u, ⟨huspan, husup⟩⟩ := h (sp '' ↑s) (le_of_eq sSup')
have ssup : s = u.sup id := by
suffices u.sup id ≤ s from le_antisymm husup this
rw [sSup', Finset.sup_id_eq_sSup]
exact sSup_le_sSup huspan
-- Porting note: had to split this out of the `obtain`
have := Finset.subset_image_iff.mp huspan
obtain ⟨t, ⟨-, rfl⟩⟩ := this
rw [Finset.sup_image, Function.id_comp, Finset.sup_eq_iSup, supr_rw, ←
span_eq_iSup_of_singleton_spans, eq_comm] at ssup
exact ⟨t, ssup⟩
|
/-
Copyright (c) 2023 Yaël Dillies. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yaël Dillies
-/
import Mathlib.Data.Finset.Lattice
#align_import order.irreducible from "leanprover-community/mathlib"@"bf2428c9486c407ca38b5b3fb10b87dad0bc99fa"
/-!
# Irreducible and prime elements in an order
This file defines irreducible and prime elements in an order and shows that in a well-founded
lattice every element decomposes as a supremum of irreducible elements.
An element is sup-irreducible (resp. inf-irreducible) if it isn't `⊥` and can't be written as the
supremum of any strictly smaller elements. An element is sup-prime (resp. inf-prime) if it isn't `⊥`
and is greater than the supremum of any two elements less than it.
Primality implies irreducibility in general. The converse only holds in distributive lattices.
Both hold for all (non-minimal) elements in a linear order.
## Main declarations
* `SupIrred a`: Sup-irreducibility, `a` isn't minimal and `a = b ⊔ c → a = b ∨ a = c`
* `InfIrred a`: Inf-irreducibility, `a` isn't maximal and `a = b ⊓ c → a = b ∨ a = c`
* `SupPrime a`: Sup-primality, `a` isn't minimal and `a ≤ b ⊔ c → a ≤ b ∨ a ≤ c`
* `InfIrred a`: Inf-primality, `a` isn't maximal and `a ≥ b ⊓ c → a ≥ b ∨ a ≥ c`
* `exists_supIrred_decomposition`/`exists_infIrred_decomposition`: Decomposition into irreducibles
in a well-founded semilattice.
-/
open Finset OrderDual
variable {ι α : Type*}
/-! ### Irreducible and prime elements -/
section SemilatticeSup
variable [SemilatticeSup α] {a b c : α}
/-- A sup-irreducible element is a non-bottom element which isn't the supremum of anything smaller.
-/
def SupIrred (a : α) : Prop :=
¬IsMin a ∧ ∀ ⦃b c⦄, b ⊔ c = a → b = a ∨ c = a
#align sup_irred SupIrred
/-- A sup-prime element is a non-bottom element which isn't less than the supremum of anything
smaller. -/
def SupPrime (a : α) : Prop :=
¬IsMin a ∧ ∀ ⦃b c⦄, a ≤ b ⊔ c → a ≤ b ∨ a ≤ c
#align sup_prime SupPrime
theorem SupIrred.not_isMin (ha : SupIrred a) : ¬IsMin a :=
ha.1
#align sup_irred.not_is_min SupIrred.not_isMin
theorem SupPrime.not_isMin (ha : SupPrime a) : ¬IsMin a :=
ha.1
#align sup_prime.not_is_min SupPrime.not_isMin
theorem IsMin.not_supIrred (ha : IsMin a) : ¬SupIrred a := fun h => h.1 ha
#align is_min.not_sup_irred IsMin.not_supIrred
theorem IsMin.not_supPrime (ha : IsMin a) : ¬SupPrime a := fun h => h.1 ha
#align is_min.not_sup_prime IsMin.not_supPrime
@[simp]
theorem not_supIrred : ¬SupIrred a ↔ IsMin a ∨ ∃ b c, b ⊔ c = a ∧ b < a ∧ c < a := by
rw [SupIrred, not_and_or]
push_neg
rw [exists₂_congr]
simp (config := { contextual := true }) [@eq_comm _ _ a]
#align not_sup_irred not_supIrred
@[simp]
theorem not_supPrime : ¬SupPrime a ↔ IsMin a ∨ ∃ b c, a ≤ b ⊔ c ∧ ¬a ≤ b ∧ ¬a ≤ c := by
rw [SupPrime, not_and_or]; push_neg; rfl
#align not_sup_prime not_supPrime
protected theorem SupPrime.supIrred : SupPrime a → SupIrred a :=
And.imp_right fun h b c ha => by simpa [← ha] using h ha.ge
#align sup_prime.sup_irred SupPrime.supIrred
theorem SupPrime.le_sup (ha : SupPrime a) : a ≤ b ⊔ c ↔ a ≤ b ∨ a ≤ c :=
⟨fun h => ha.2 h, fun h => h.elim le_sup_of_le_left le_sup_of_le_right⟩
#align sup_prime.le_sup SupPrime.le_sup
variable [OrderBot α] {s : Finset ι} {f : ι → α}
@[simp]
theorem not_supIrred_bot : ¬SupIrred (⊥ : α) :=
isMin_bot.not_supIrred
#align not_sup_irred_bot not_supIrred_bot
@[simp]
theorem not_supPrime_bot : ¬SupPrime (⊥ : α) :=
isMin_bot.not_supPrime
#align not_sup_prime_bot not_supPrime_bot
theorem SupIrred.ne_bot (ha : SupIrred a) : a ≠ ⊥ := by rintro rfl; exact not_supIrred_bot ha
#align sup_irred.ne_bot SupIrred.ne_bot
| Mathlib/Order/Irreducible.lean | 107 | 107 | theorem SupPrime.ne_bot (ha : SupPrime a) : a ≠ ⊥ := by | rintro rfl; exact not_supPrime_bot ha
|
/-
Copyright (c) 2020 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro, Floris van Doorn, Yury Kudryashov
-/
import Mathlib.Algebra.Star.Order
import Mathlib.Topology.Instances.NNReal
import Mathlib.Topology.Order.MonotoneContinuity
#align_import data.real.sqrt from "leanprover-community/mathlib"@"31c24aa72e7b3e5ed97a8412470e904f82b81004"
/-!
# Square root of a real number
In this file we define
* `NNReal.sqrt` to be the square root of a nonnegative real number.
* `Real.sqrt` to be the square root of a real number, defined to be zero on negative numbers.
Then we prove some basic properties of these functions.
## Implementation notes
We define `NNReal.sqrt` as the noncomputable inverse to the function `x ↦ x * x`. We use general
theory of inverses of strictly monotone functions to prove that `NNReal.sqrt x` exists. As a side
effect, `NNReal.sqrt` is a bundled `OrderIso`, so for `NNReal` numbers we get continuity as well as
theorems like `NNReal.sqrt x ≤ y ↔ x ≤ y * y` for free.
Then we define `Real.sqrt x` to be `NNReal.sqrt (Real.toNNReal x)`.
## Tags
square root
-/
open Set Filter
open scoped Filter NNReal Topology
namespace NNReal
variable {x y : ℝ≥0}
/-- Square root of a nonnegative real number. -/
-- Porting note: was @[pp_nodot]
noncomputable def sqrt : ℝ≥0 ≃o ℝ≥0 :=
OrderIso.symm <| powOrderIso 2 two_ne_zero
#align nnreal.sqrt NNReal.sqrt
@[simp] lemma sq_sqrt (x : ℝ≥0) : sqrt x ^ 2 = x := sqrt.symm_apply_apply _
#align nnreal.sq_sqrt NNReal.sq_sqrt
@[simp] lemma sqrt_sq (x : ℝ≥0) : sqrt (x ^ 2) = x := sqrt.apply_symm_apply _
#align nnreal.sqrt_sq NNReal.sqrt_sq
@[simp] lemma mul_self_sqrt (x : ℝ≥0) : sqrt x * sqrt x = x := by rw [← sq, sq_sqrt]
#align nnreal.mul_self_sqrt NNReal.mul_self_sqrt
@[simp] lemma sqrt_mul_self (x : ℝ≥0) : sqrt (x * x) = x := by rw [← sq, sqrt_sq]
#align nnreal.sqrt_mul_self NNReal.sqrt_mul_self
lemma sqrt_le_sqrt : sqrt x ≤ sqrt y ↔ x ≤ y := sqrt.le_iff_le
#align nnreal.sqrt_le_sqrt_iff NNReal.sqrt_le_sqrt
lemma sqrt_lt_sqrt : sqrt x < sqrt y ↔ x < y := sqrt.lt_iff_lt
#align nnreal.sqrt_lt_sqrt_iff NNReal.sqrt_lt_sqrt
lemma sqrt_eq_iff_eq_sq : sqrt x = y ↔ x = y ^ 2 := sqrt.toEquiv.apply_eq_iff_eq_symm_apply
#align nnreal.sqrt_eq_iff_sq_eq NNReal.sqrt_eq_iff_eq_sq
lemma sqrt_le_iff_le_sq : sqrt x ≤ y ↔ x ≤ y ^ 2 := sqrt.to_galoisConnection _ _
#align nnreal.sqrt_le_iff NNReal.sqrt_le_iff_le_sq
lemma le_sqrt_iff_sq_le : x ≤ sqrt y ↔ x ^ 2 ≤ y := (sqrt.symm.to_galoisConnection _ _).symm
#align nnreal.le_sqrt_iff NNReal.le_sqrt_iff_sq_le
-- 2024-02-14
@[deprecated] alias sqrt_le_sqrt_iff := sqrt_le_sqrt
@[deprecated] alias sqrt_lt_sqrt_iff := sqrt_lt_sqrt
@[deprecated] alias sqrt_le_iff := sqrt_le_iff_le_sq
@[deprecated] alias le_sqrt_iff := le_sqrt_iff_sq_le
@[deprecated] alias sqrt_eq_iff_sq_eq := sqrt_eq_iff_eq_sq
@[simp] lemma sqrt_eq_zero : sqrt x = 0 ↔ x = 0 := by simp [sqrt_eq_iff_eq_sq]
#align nnreal.sqrt_eq_zero NNReal.sqrt_eq_zero
@[simp] lemma sqrt_eq_one : sqrt x = 1 ↔ x = 1 := by simp [sqrt_eq_iff_eq_sq]
@[simp] lemma sqrt_zero : sqrt 0 = 0 := by simp
#align nnreal.sqrt_zero NNReal.sqrt_zero
@[simp] lemma sqrt_one : sqrt 1 = 1 := by simp
#align nnreal.sqrt_one NNReal.sqrt_one
@[simp] lemma sqrt_le_one : sqrt x ≤ 1 ↔ x ≤ 1 := by rw [← sqrt_one, sqrt_le_sqrt, sqrt_one]
@[simp] lemma one_le_sqrt : 1 ≤ sqrt x ↔ 1 ≤ x := by rw [← sqrt_one, sqrt_le_sqrt, sqrt_one]
theorem sqrt_mul (x y : ℝ≥0) : sqrt (x * y) = sqrt x * sqrt y := by
rw [sqrt_eq_iff_eq_sq, mul_pow, sq_sqrt, sq_sqrt]
#align nnreal.sqrt_mul NNReal.sqrt_mul
/-- `NNReal.sqrt` as a `MonoidWithZeroHom`. -/
noncomputable def sqrtHom : ℝ≥0 →*₀ ℝ≥0 :=
⟨⟨sqrt, sqrt_zero⟩, sqrt_one, sqrt_mul⟩
#align nnreal.sqrt_hom NNReal.sqrtHom
theorem sqrt_inv (x : ℝ≥0) : sqrt x⁻¹ = (sqrt x)⁻¹ :=
map_inv₀ sqrtHom x
#align nnreal.sqrt_inv NNReal.sqrt_inv
theorem sqrt_div (x y : ℝ≥0) : sqrt (x / y) = sqrt x / sqrt y :=
map_div₀ sqrtHom x y
#align nnreal.sqrt_div NNReal.sqrt_div
@[continuity, fun_prop]
theorem continuous_sqrt : Continuous sqrt := sqrt.continuous
#align nnreal.continuous_sqrt NNReal.continuous_sqrt
@[simp] theorem sqrt_pos : 0 < sqrt x ↔ 0 < x := by simp [pos_iff_ne_zero]
alias ⟨_, sqrt_pos_of_pos⟩ := sqrt_pos
end NNReal
namespace Real
/-- The square root of a real number. This returns 0 for negative inputs.
This has notation `√x`. Note that `√x⁻¹` is parsed as `√(x⁻¹)`. -/
noncomputable def sqrt (x : ℝ) : ℝ :=
NNReal.sqrt (Real.toNNReal x)
#align real.sqrt Real.sqrt
-- TODO: replace this with a typeclass
@[inherit_doc]
prefix:max "√" => Real.sqrt
/- quotient.lift_on x
(λ f, mk ⟨sqrt_aux f, (sqrt_aux_converges f).fst⟩)
(λ f g e, begin
rcases sqrt_aux_converges f with ⟨hf, x, x0, xf, xs⟩,
rcases sqrt_aux_converges g with ⟨hg, y, y0, yg, ys⟩,
refine xs.trans (eq.trans _ ys.symm),
rw [← @mul_self_inj_of_nonneg ℝ _ x y x0 y0, xf, yg],
congr' 1, exact quotient.sound e
end)-/
variable {x y : ℝ}
@[simp, norm_cast]
theorem coe_sqrt {x : ℝ≥0} : (NNReal.sqrt x : ℝ) = √(x : ℝ) := by
rw [Real.sqrt, Real.toNNReal_coe]
#align real.coe_sqrt Real.coe_sqrt
@[continuity]
theorem continuous_sqrt : Continuous (√· : ℝ → ℝ) :=
NNReal.continuous_coe.comp <| NNReal.continuous_sqrt.comp continuous_real_toNNReal
#align real.continuous_sqrt Real.continuous_sqrt
theorem sqrt_eq_zero_of_nonpos (h : x ≤ 0) : sqrt x = 0 := by simp [sqrt, Real.toNNReal_eq_zero.2 h]
#align real.sqrt_eq_zero_of_nonpos Real.sqrt_eq_zero_of_nonpos
theorem sqrt_nonneg (x : ℝ) : 0 ≤ √x :=
NNReal.coe_nonneg _
#align real.sqrt_nonneg Real.sqrt_nonneg
@[simp]
theorem mul_self_sqrt (h : 0 ≤ x) : √x * √x = x := by
rw [Real.sqrt, ← NNReal.coe_mul, NNReal.mul_self_sqrt, Real.coe_toNNReal _ h]
#align real.mul_self_sqrt Real.mul_self_sqrt
@[simp]
theorem sqrt_mul_self (h : 0 ≤ x) : √(x * x) = x :=
(mul_self_inj_of_nonneg (sqrt_nonneg _) h).1 (mul_self_sqrt (mul_self_nonneg _))
#align real.sqrt_mul_self Real.sqrt_mul_self
theorem sqrt_eq_cases : √x = y ↔ y * y = x ∧ 0 ≤ y ∨ x < 0 ∧ y = 0 := by
constructor
· rintro rfl
rcases le_or_lt 0 x with hle | hlt
· exact Or.inl ⟨mul_self_sqrt hle, sqrt_nonneg x⟩
· exact Or.inr ⟨hlt, sqrt_eq_zero_of_nonpos hlt.le⟩
· rintro (⟨rfl, hy⟩ | ⟨hx, rfl⟩)
exacts [sqrt_mul_self hy, sqrt_eq_zero_of_nonpos hx.le]
#align real.sqrt_eq_cases Real.sqrt_eq_cases
theorem sqrt_eq_iff_mul_self_eq (hx : 0 ≤ x) (hy : 0 ≤ y) : √x = y ↔ y * y = x :=
⟨fun h => by rw [← h, mul_self_sqrt hx], fun h => by rw [← h, sqrt_mul_self hy]⟩
#align real.sqrt_eq_iff_mul_self_eq Real.sqrt_eq_iff_mul_self_eq
theorem sqrt_eq_iff_mul_self_eq_of_pos (h : 0 < y) : √x = y ↔ y * y = x := by
simp [sqrt_eq_cases, h.ne', h.le]
#align real.sqrt_eq_iff_mul_self_eq_of_pos Real.sqrt_eq_iff_mul_self_eq_of_pos
@[simp]
theorem sqrt_eq_one : √x = 1 ↔ x = 1 :=
calc
√x = 1 ↔ 1 * 1 = x := sqrt_eq_iff_mul_self_eq_of_pos zero_lt_one
_ ↔ x = 1 := by rw [eq_comm, mul_one]
#align real.sqrt_eq_one Real.sqrt_eq_one
@[simp]
theorem sq_sqrt (h : 0 ≤ x) : √x ^ 2 = x := by rw [sq, mul_self_sqrt h]
#align real.sq_sqrt Real.sq_sqrt
@[simp]
theorem sqrt_sq (h : 0 ≤ x) : √(x ^ 2) = x := by rw [sq, sqrt_mul_self h]
#align real.sqrt_sq Real.sqrt_sq
theorem sqrt_eq_iff_sq_eq (hx : 0 ≤ x) (hy : 0 ≤ y) : √x = y ↔ y ^ 2 = x := by
rw [sq, sqrt_eq_iff_mul_self_eq hx hy]
#align real.sqrt_eq_iff_sq_eq Real.sqrt_eq_iff_sq_eq
theorem sqrt_mul_self_eq_abs (x : ℝ) : √(x * x) = |x| := by
rw [← abs_mul_abs_self x, sqrt_mul_self (abs_nonneg _)]
#align real.sqrt_mul_self_eq_abs Real.sqrt_mul_self_eq_abs
theorem sqrt_sq_eq_abs (x : ℝ) : √(x ^ 2) = |x| := by rw [sq, sqrt_mul_self_eq_abs]
#align real.sqrt_sq_eq_abs Real.sqrt_sq_eq_abs
@[simp]
theorem sqrt_zero : √0 = 0 := by simp [Real.sqrt]
#align real.sqrt_zero Real.sqrt_zero
@[simp]
theorem sqrt_one : √1 = 1 := by simp [Real.sqrt]
#align real.sqrt_one Real.sqrt_one
@[simp]
theorem sqrt_le_sqrt_iff (hy : 0 ≤ y) : √x ≤ √y ↔ x ≤ y := by
rw [Real.sqrt, Real.sqrt, NNReal.coe_le_coe, NNReal.sqrt_le_sqrt, toNNReal_le_toNNReal_iff hy]
#align real.sqrt_le_sqrt_iff Real.sqrt_le_sqrt_iff
@[simp]
theorem sqrt_lt_sqrt_iff (hx : 0 ≤ x) : √x < √y ↔ x < y :=
lt_iff_lt_of_le_iff_le (sqrt_le_sqrt_iff hx)
#align real.sqrt_lt_sqrt_iff Real.sqrt_lt_sqrt_iff
theorem sqrt_lt_sqrt_iff_of_pos (hy : 0 < y) : √x < √y ↔ x < y := by
rw [Real.sqrt, Real.sqrt, NNReal.coe_lt_coe, NNReal.sqrt_lt_sqrt, toNNReal_lt_toNNReal_iff hy]
#align real.sqrt_lt_sqrt_iff_of_pos Real.sqrt_lt_sqrt_iff_of_pos
@[gcongr]
theorem sqrt_le_sqrt (h : x ≤ y) : √x ≤ √y := by
rw [Real.sqrt, Real.sqrt, NNReal.coe_le_coe, NNReal.sqrt_le_sqrt]
exact toNNReal_le_toNNReal h
#align real.sqrt_le_sqrt Real.sqrt_le_sqrt
@[gcongr]
theorem sqrt_lt_sqrt (hx : 0 ≤ x) (h : x < y) : √x < √y :=
(sqrt_lt_sqrt_iff hx).2 h
#align real.sqrt_lt_sqrt Real.sqrt_lt_sqrt
theorem sqrt_le_left (hy : 0 ≤ y) : √x ≤ y ↔ x ≤ y ^ 2 := by
rw [sqrt, ← Real.le_toNNReal_iff_coe_le hy, NNReal.sqrt_le_iff_le_sq, sq, ← Real.toNNReal_mul hy,
Real.toNNReal_le_toNNReal_iff (mul_self_nonneg y), sq]
#align real.sqrt_le_left Real.sqrt_le_left
theorem sqrt_le_iff : √x ≤ y ↔ 0 ≤ y ∧ x ≤ y ^ 2 := by
rw [← and_iff_right_of_imp fun h => (sqrt_nonneg x).trans h, and_congr_right_iff]
exact sqrt_le_left
#align real.sqrt_le_iff Real.sqrt_le_iff
theorem sqrt_lt (hx : 0 ≤ x) (hy : 0 ≤ y) : √x < y ↔ x < y ^ 2 := by
rw [← sqrt_lt_sqrt_iff hx, sqrt_sq hy]
#align real.sqrt_lt Real.sqrt_lt
theorem sqrt_lt' (hy : 0 < y) : √x < y ↔ x < y ^ 2 := by
rw [← sqrt_lt_sqrt_iff_of_pos (pow_pos hy _), sqrt_sq hy.le]
#align real.sqrt_lt' Real.sqrt_lt'
/-- Note: if you want to conclude `x ≤ √y`, then use `Real.le_sqrt_of_sq_le`.
If you have `x > 0`, consider using `Real.le_sqrt'` -/
theorem le_sqrt (hx : 0 ≤ x) (hy : 0 ≤ y) : x ≤ √y ↔ x ^ 2 ≤ y :=
le_iff_le_iff_lt_iff_lt.2 <| sqrt_lt hy hx
#align real.le_sqrt Real.le_sqrt
theorem le_sqrt' (hx : 0 < x) : x ≤ √y ↔ x ^ 2 ≤ y :=
le_iff_le_iff_lt_iff_lt.2 <| sqrt_lt' hx
#align real.le_sqrt' Real.le_sqrt'
theorem abs_le_sqrt (h : x ^ 2 ≤ y) : |x| ≤ √y := by
rw [← sqrt_sq_eq_abs]; exact sqrt_le_sqrt h
#align real.abs_le_sqrt Real.abs_le_sqrt
theorem sq_le (h : 0 ≤ y) : x ^ 2 ≤ y ↔ -√y ≤ x ∧ x ≤ √y := by
constructor
· simpa only [abs_le] using abs_le_sqrt
· rw [← abs_le, ← sq_abs]
exact (le_sqrt (abs_nonneg x) h).mp
#align real.sq_le Real.sq_le
theorem neg_sqrt_le_of_sq_le (h : x ^ 2 ≤ y) : -√y ≤ x :=
((sq_le ((sq_nonneg x).trans h)).mp h).1
#align real.neg_sqrt_le_of_sq_le Real.neg_sqrt_le_of_sq_le
theorem le_sqrt_of_sq_le (h : x ^ 2 ≤ y) : x ≤ √y :=
((sq_le ((sq_nonneg x).trans h)).mp h).2
#align real.le_sqrt_of_sq_le Real.le_sqrt_of_sq_le
@[simp]
theorem sqrt_inj (hx : 0 ≤ x) (hy : 0 ≤ y) : √x = √y ↔ x = y := by
simp [le_antisymm_iff, hx, hy]
#align real.sqrt_inj Real.sqrt_inj
@[simp]
theorem sqrt_eq_zero (h : 0 ≤ x) : √x = 0 ↔ x = 0 := by simpa using sqrt_inj h le_rfl
#align real.sqrt_eq_zero Real.sqrt_eq_zero
| Mathlib/Data/Real/Sqrt.lean | 308 | 309 | theorem sqrt_eq_zero' : √x = 0 ↔ x ≤ 0 := by |
rw [sqrt, NNReal.coe_eq_zero, NNReal.sqrt_eq_zero, Real.toNNReal_eq_zero]
|
/-
Copyright (c) 2014 Jeremy Avigad. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jeremy Avigad, Leonardo de Moura
-/
import Mathlib.Data.Set.Subsingleton
import Mathlib.Order.WithBot
#align_import data.set.image from "leanprover-community/mathlib"@"001ffdc42920050657fd45bd2b8bfbec8eaaeb29"
/-!
# Images and preimages of sets
## Main definitions
* `preimage f t : Set α` : the preimage f⁻¹(t) (written `f ⁻¹' t` in Lean) of a subset of β.
* `range f : Set β` : the image of `univ` under `f`.
Also works for `{p : Prop} (f : p → α)` (unlike `image`)
## Notation
* `f ⁻¹' t` for `Set.preimage f t`
* `f '' s` for `Set.image f s`
## Tags
set, sets, image, preimage, pre-image, range
-/
universe u v
open Function Set
namespace Set
variable {α β γ : Type*} {ι ι' : Sort*}
/-! ### Inverse image -/
section Preimage
variable {f : α → β} {g : β → γ}
@[simp]
theorem preimage_empty : f ⁻¹' ∅ = ∅ :=
rfl
#align set.preimage_empty Set.preimage_empty
theorem preimage_congr {f g : α → β} {s : Set β} (h : ∀ x : α, f x = g x) : f ⁻¹' s = g ⁻¹' s := by
congr with x
simp [h]
#align set.preimage_congr Set.preimage_congr
@[gcongr]
theorem preimage_mono {s t : Set β} (h : s ⊆ t) : f ⁻¹' s ⊆ f ⁻¹' t := fun _ hx => h hx
#align set.preimage_mono Set.preimage_mono
@[simp, mfld_simps]
theorem preimage_univ : f ⁻¹' univ = univ :=
rfl
#align set.preimage_univ Set.preimage_univ
theorem subset_preimage_univ {s : Set α} : s ⊆ f ⁻¹' univ :=
subset_univ _
#align set.subset_preimage_univ Set.subset_preimage_univ
@[simp, mfld_simps]
theorem preimage_inter {s t : Set β} : f ⁻¹' (s ∩ t) = f ⁻¹' s ∩ f ⁻¹' t :=
rfl
#align set.preimage_inter Set.preimage_inter
@[simp]
theorem preimage_union {s t : Set β} : f ⁻¹' (s ∪ t) = f ⁻¹' s ∪ f ⁻¹' t :=
rfl
#align set.preimage_union Set.preimage_union
@[simp]
theorem preimage_compl {s : Set β} : f ⁻¹' sᶜ = (f ⁻¹' s)ᶜ :=
rfl
#align set.preimage_compl Set.preimage_compl
@[simp]
theorem preimage_diff (f : α → β) (s t : Set β) : f ⁻¹' (s \ t) = f ⁻¹' s \ f ⁻¹' t :=
rfl
#align set.preimage_diff Set.preimage_diff
open scoped symmDiff in
@[simp]
lemma preimage_symmDiff {f : α → β} (s t : Set β) : f ⁻¹' (s ∆ t) = (f ⁻¹' s) ∆ (f ⁻¹' t) :=
rfl
#align set.preimage_symm_diff Set.preimage_symmDiff
@[simp]
theorem preimage_ite (f : α → β) (s t₁ t₂ : Set β) :
f ⁻¹' s.ite t₁ t₂ = (f ⁻¹' s).ite (f ⁻¹' t₁) (f ⁻¹' t₂) :=
rfl
#align set.preimage_ite Set.preimage_ite
@[simp]
theorem preimage_setOf_eq {p : α → Prop} {f : β → α} : f ⁻¹' { a | p a } = { a | p (f a) } :=
rfl
#align set.preimage_set_of_eq Set.preimage_setOf_eq
@[simp]
theorem preimage_id_eq : preimage (id : α → α) = id :=
rfl
#align set.preimage_id_eq Set.preimage_id_eq
@[mfld_simps]
theorem preimage_id {s : Set α} : id ⁻¹' s = s :=
rfl
#align set.preimage_id Set.preimage_id
@[simp, mfld_simps]
theorem preimage_id' {s : Set α} : (fun x => x) ⁻¹' s = s :=
rfl
#align set.preimage_id' Set.preimage_id'
@[simp]
theorem preimage_const_of_mem {b : β} {s : Set β} (h : b ∈ s) : (fun _ : α => b) ⁻¹' s = univ :=
eq_univ_of_forall fun _ => h
#align set.preimage_const_of_mem Set.preimage_const_of_mem
@[simp]
theorem preimage_const_of_not_mem {b : β} {s : Set β} (h : b ∉ s) : (fun _ : α => b) ⁻¹' s = ∅ :=
eq_empty_of_subset_empty fun _ hx => h hx
#align set.preimage_const_of_not_mem Set.preimage_const_of_not_mem
theorem preimage_const (b : β) (s : Set β) [Decidable (b ∈ s)] :
(fun _ : α => b) ⁻¹' s = if b ∈ s then univ else ∅ := by
split_ifs with hb
exacts [preimage_const_of_mem hb, preimage_const_of_not_mem hb]
#align set.preimage_const Set.preimage_const
/-- If preimage of each singleton under `f : α → β` is either empty or the whole type,
then `f` is a constant. -/
lemma exists_eq_const_of_preimage_singleton [Nonempty β] {f : α → β}
(hf : ∀ b : β, f ⁻¹' {b} = ∅ ∨ f ⁻¹' {b} = univ) : ∃ b, f = const α b := by
rcases em (∃ b, f ⁻¹' {b} = univ) with ⟨b, hb⟩ | hf'
· exact ⟨b, funext fun x ↦ eq_univ_iff_forall.1 hb x⟩
· have : ∀ x b, f x ≠ b := fun x b ↦
eq_empty_iff_forall_not_mem.1 ((hf b).resolve_right fun h ↦ hf' ⟨b, h⟩) x
exact ⟨Classical.arbitrary β, funext fun x ↦ absurd rfl (this x _)⟩
theorem preimage_comp {s : Set γ} : g ∘ f ⁻¹' s = f ⁻¹' (g ⁻¹' s) :=
rfl
#align set.preimage_comp Set.preimage_comp
theorem preimage_comp_eq : preimage (g ∘ f) = preimage f ∘ preimage g :=
rfl
#align set.preimage_comp_eq Set.preimage_comp_eq
theorem preimage_iterate_eq {f : α → α} {n : ℕ} : Set.preimage f^[n] = (Set.preimage f)^[n] := by
induction' n with n ih; · simp
rw [iterate_succ, iterate_succ', preimage_comp_eq, ih]
#align set.preimage_iterate_eq Set.preimage_iterate_eq
theorem preimage_preimage {g : β → γ} {f : α → β} {s : Set γ} :
f ⁻¹' (g ⁻¹' s) = (fun x => g (f x)) ⁻¹' s :=
preimage_comp.symm
#align set.preimage_preimage Set.preimage_preimage
theorem eq_preimage_subtype_val_iff {p : α → Prop} {s : Set (Subtype p)} {t : Set α} :
s = Subtype.val ⁻¹' t ↔ ∀ (x) (h : p x), (⟨x, h⟩ : Subtype p) ∈ s ↔ x ∈ t :=
⟨fun s_eq x h => by
rw [s_eq]
simp, fun h => ext fun ⟨x, hx⟩ => by simp [h]⟩
#align set.eq_preimage_subtype_val_iff Set.eq_preimage_subtype_val_iff
theorem nonempty_of_nonempty_preimage {s : Set β} {f : α → β} (hf : (f ⁻¹' s).Nonempty) :
s.Nonempty :=
let ⟨x, hx⟩ := hf
⟨f x, hx⟩
#align set.nonempty_of_nonempty_preimage Set.nonempty_of_nonempty_preimage
@[simp] theorem preimage_singleton_true (p : α → Prop) : p ⁻¹' {True} = {a | p a} := by ext; simp
#align set.preimage_singleton_true Set.preimage_singleton_true
@[simp] theorem preimage_singleton_false (p : α → Prop) : p ⁻¹' {False} = {a | ¬p a} := by ext; simp
#align set.preimage_singleton_false Set.preimage_singleton_false
theorem preimage_subtype_coe_eq_compl {s u v : Set α} (hsuv : s ⊆ u ∪ v)
(H : s ∩ (u ∩ v) = ∅) : ((↑) : s → α) ⁻¹' u = ((↑) ⁻¹' v)ᶜ := by
ext ⟨x, x_in_s⟩
constructor
· intro x_in_u x_in_v
exact eq_empty_iff_forall_not_mem.mp H x ⟨x_in_s, ⟨x_in_u, x_in_v⟩⟩
· intro hx
exact Or.elim (hsuv x_in_s) id fun hx' => hx.elim hx'
#align set.preimage_subtype_coe_eq_compl Set.preimage_subtype_coe_eq_compl
end Preimage
/-! ### Image of a set under a function -/
section Image
variable {f : α → β} {s t : Set α}
-- Porting note: `Set.image` is already defined in `Init.Set`
#align set.image Set.image
@[deprecated mem_image (since := "2024-03-23")]
theorem mem_image_iff_bex {f : α → β} {s : Set α} {y : β} :
y ∈ f '' s ↔ ∃ (x : _) (_ : x ∈ s), f x = y :=
bex_def.symm
#align set.mem_image_iff_bex Set.mem_image_iff_bex
theorem image_eta (f : α → β) : f '' s = (fun x => f x) '' s :=
rfl
#align set.image_eta Set.image_eta
theorem _root_.Function.Injective.mem_set_image {f : α → β} (hf : Injective f) {s : Set α} {a : α} :
f a ∈ f '' s ↔ a ∈ s :=
⟨fun ⟨_, hb, Eq⟩ => hf Eq ▸ hb, mem_image_of_mem f⟩
#align function.injective.mem_set_image Function.Injective.mem_set_image
theorem forall_mem_image {f : α → β} {s : Set α} {p : β → Prop} :
(∀ y ∈ f '' s, p y) ↔ ∀ ⦃x⦄, x ∈ s → p (f x) := by simp
#align set.ball_image_iff Set.forall_mem_image
theorem exists_mem_image {f : α → β} {s : Set α} {p : β → Prop} :
(∃ y ∈ f '' s, p y) ↔ ∃ x ∈ s, p (f x) := by simp
#align set.bex_image_iff Set.exists_mem_image
@[deprecated (since := "2024-02-21")] alias ball_image_iff := forall_mem_image
@[deprecated (since := "2024-02-21")] alias bex_image_iff := exists_mem_image
@[deprecated (since := "2024-02-21")] alias ⟨_, ball_image_of_ball⟩ := forall_mem_image
#align set.ball_image_of_ball Set.ball_image_of_ball
@[deprecated forall_mem_image (since := "2024-02-21")]
theorem mem_image_elim {f : α → β} {s : Set α} {C : β → Prop} (h : ∀ x : α, x ∈ s → C (f x)) :
∀ {y : β}, y ∈ f '' s → C y := forall_mem_image.2 h _
#align set.mem_image_elim Set.mem_image_elim
@[deprecated forall_mem_image (since := "2024-02-21")]
theorem mem_image_elim_on {f : α → β} {s : Set α} {C : β → Prop} {y : β} (h_y : y ∈ f '' s)
(h : ∀ x : α, x ∈ s → C (f x)) : C y := forall_mem_image.2 h _ h_y
#align set.mem_image_elim_on Set.mem_image_elim_on
-- Porting note: used to be `safe`
@[congr]
theorem image_congr {f g : α → β} {s : Set α} (h : ∀ a ∈ s, f a = g a) : f '' s = g '' s := by
ext x
exact exists_congr fun a ↦ and_congr_right fun ha ↦ by rw [h a ha]
#align set.image_congr Set.image_congr
/-- A common special case of `image_congr` -/
theorem image_congr' {f g : α → β} {s : Set α} (h : ∀ x : α, f x = g x) : f '' s = g '' s :=
image_congr fun x _ => h x
#align set.image_congr' Set.image_congr'
@[gcongr]
lemma image_mono (h : s ⊆ t) : f '' s ⊆ f '' t := by
rintro - ⟨a, ha, rfl⟩; exact mem_image_of_mem f (h ha)
theorem image_comp (f : β → γ) (g : α → β) (a : Set α) : f ∘ g '' a = f '' (g '' a) := by aesop
#align set.image_comp Set.image_comp
theorem image_comp_eq {g : β → γ} : image (g ∘ f) = image g ∘ image f := by ext; simp
/-- A variant of `image_comp`, useful for rewriting -/
theorem image_image (g : β → γ) (f : α → β) (s : Set α) : g '' (f '' s) = (fun x => g (f x)) '' s :=
(image_comp g f s).symm
#align set.image_image Set.image_image
theorem image_comm {β'} {f : β → γ} {g : α → β} {f' : α → β'} {g' : β' → γ}
(h_comm : ∀ a, f (g a) = g' (f' a)) : (s.image g).image f = (s.image f').image g' := by
simp_rw [image_image, h_comm]
#align set.image_comm Set.image_comm
theorem _root_.Function.Semiconj.set_image {f : α → β} {ga : α → α} {gb : β → β}
(h : Function.Semiconj f ga gb) : Function.Semiconj (image f) (image ga) (image gb) := fun _ =>
image_comm h
#align function.semiconj.set_image Function.Semiconj.set_image
theorem _root_.Function.Commute.set_image {f g : α → α} (h : Function.Commute f g) :
Function.Commute (image f) (image g) :=
Function.Semiconj.set_image h
#align function.commute.set_image Function.Commute.set_image
/-- Image is monotone with respect to `⊆`. See `Set.monotone_image` for the statement in
terms of `≤`. -/
@[gcongr]
theorem image_subset {a b : Set α} (f : α → β) (h : a ⊆ b) : f '' a ⊆ f '' b := by
simp only [subset_def, mem_image]
exact fun x => fun ⟨w, h1, h2⟩ => ⟨w, h h1, h2⟩
#align set.image_subset Set.image_subset
/-- `Set.image` is monotone. See `Set.image_subset` for the statement in terms of `⊆`. -/
lemma monotone_image {f : α → β} : Monotone (image f) := fun _ _ => image_subset _
#align set.monotone_image Set.monotone_image
theorem image_union (f : α → β) (s t : Set α) : f '' (s ∪ t) = f '' s ∪ f '' t :=
ext fun x =>
⟨by rintro ⟨a, h | h, rfl⟩ <;> [left; right] <;> exact ⟨_, h, rfl⟩, by
rintro (⟨a, h, rfl⟩ | ⟨a, h, rfl⟩) <;> refine ⟨_, ?_, rfl⟩
· exact mem_union_left t h
· exact mem_union_right s h⟩
#align set.image_union Set.image_union
@[simp]
theorem image_empty (f : α → β) : f '' ∅ = ∅ := by
ext
simp
#align set.image_empty Set.image_empty
theorem image_inter_subset (f : α → β) (s t : Set α) : f '' (s ∩ t) ⊆ f '' s ∩ f '' t :=
subset_inter (image_subset _ inter_subset_left) (image_subset _ inter_subset_right)
#align set.image_inter_subset Set.image_inter_subset
theorem image_inter_on {f : α → β} {s t : Set α} (h : ∀ x ∈ t, ∀ y ∈ s, f x = f y → x = y) :
f '' (s ∩ t) = f '' s ∩ f '' t :=
(image_inter_subset _ _ _).antisymm
fun b ⟨⟨a₁, ha₁, h₁⟩, ⟨a₂, ha₂, h₂⟩⟩ ↦
have : a₂ = a₁ := h _ ha₂ _ ha₁ (by simp [*])
⟨a₁, ⟨ha₁, this ▸ ha₂⟩, h₁⟩
#align set.image_inter_on Set.image_inter_on
theorem image_inter {f : α → β} {s t : Set α} (H : Injective f) : f '' (s ∩ t) = f '' s ∩ f '' t :=
image_inter_on fun _ _ _ _ h => H h
#align set.image_inter Set.image_inter
theorem image_univ_of_surjective {ι : Type*} {f : ι → β} (H : Surjective f) : f '' univ = univ :=
eq_univ_of_forall <| by simpa [image]
#align set.image_univ_of_surjective Set.image_univ_of_surjective
@[simp]
theorem image_singleton {f : α → β} {a : α} : f '' {a} = {f a} := by
ext
simp [image, eq_comm]
#align set.image_singleton Set.image_singleton
@[simp]
theorem Nonempty.image_const {s : Set α} (hs : s.Nonempty) (a : β) : (fun _ => a) '' s = {a} :=
ext fun _ =>
⟨fun ⟨_, _, h⟩ => h ▸ mem_singleton _, fun h =>
(eq_of_mem_singleton h).symm ▸ hs.imp fun _ hy => ⟨hy, rfl⟩⟩
#align set.nonempty.image_const Set.Nonempty.image_const
@[simp, mfld_simps]
theorem image_eq_empty {α β} {f : α → β} {s : Set α} : f '' s = ∅ ↔ s = ∅ := by
simp only [eq_empty_iff_forall_not_mem]
exact ⟨fun H a ha => H _ ⟨_, ha, rfl⟩, fun H b ⟨_, ha, _⟩ => H _ ha⟩
#align set.image_eq_empty Set.image_eq_empty
-- Porting note: `compl` is already defined in `Init.Set`
theorem preimage_compl_eq_image_compl [BooleanAlgebra α] (S : Set α) :
HasCompl.compl ⁻¹' S = HasCompl.compl '' S :=
Set.ext fun x =>
⟨fun h => ⟨xᶜ, h, compl_compl x⟩, fun h =>
Exists.elim h fun _ hy => (compl_eq_comm.mp hy.2).symm.subst hy.1⟩
#align set.preimage_compl_eq_image_compl Set.preimage_compl_eq_image_compl
theorem mem_compl_image [BooleanAlgebra α] (t : α) (S : Set α) :
t ∈ HasCompl.compl '' S ↔ tᶜ ∈ S := by
simp [← preimage_compl_eq_image_compl]
#align set.mem_compl_image Set.mem_compl_image
@[simp]
theorem image_id_eq : image (id : α → α) = id := by ext; simp
/-- A variant of `image_id` -/
@[simp]
theorem image_id' (s : Set α) : (fun x => x) '' s = s := by
ext
simp
#align set.image_id' Set.image_id'
theorem image_id (s : Set α) : id '' s = s := by simp
#align set.image_id Set.image_id
lemma image_iterate_eq {f : α → α} {n : ℕ} : image (f^[n]) = (image f)^[n] := by
induction n with
| zero => simp
| succ n ih => rw [iterate_succ', iterate_succ', ← ih, image_comp_eq]
theorem compl_compl_image [BooleanAlgebra α] (S : Set α) :
HasCompl.compl '' (HasCompl.compl '' S) = S := by
rw [← image_comp, compl_comp_compl, image_id]
#align set.compl_compl_image Set.compl_compl_image
theorem image_insert_eq {f : α → β} {a : α} {s : Set α} :
f '' insert a s = insert (f a) (f '' s) := by
ext
simp [and_or_left, exists_or, eq_comm, or_comm, and_comm]
#align set.image_insert_eq Set.image_insert_eq
theorem image_pair (f : α → β) (a b : α) : f '' {a, b} = {f a, f b} := by
simp only [image_insert_eq, image_singleton]
#align set.image_pair Set.image_pair
theorem image_subset_preimage_of_inverse {f : α → β} {g : β → α} (I : LeftInverse g f) (s : Set α) :
f '' s ⊆ g ⁻¹' s := fun _ ⟨a, h, e⟩ => e ▸ ((I a).symm ▸ h : g (f a) ∈ s)
#align set.image_subset_preimage_of_inverse Set.image_subset_preimage_of_inverse
theorem preimage_subset_image_of_inverse {f : α → β} {g : β → α} (I : LeftInverse g f) (s : Set β) :
f ⁻¹' s ⊆ g '' s := fun b h => ⟨f b, h, I b⟩
#align set.preimage_subset_image_of_inverse Set.preimage_subset_image_of_inverse
theorem image_eq_preimage_of_inverse {f : α → β} {g : β → α} (h₁ : LeftInverse g f)
(h₂ : RightInverse g f) : image f = preimage g :=
funext fun s =>
Subset.antisymm (image_subset_preimage_of_inverse h₁ s) (preimage_subset_image_of_inverse h₂ s)
#align set.image_eq_preimage_of_inverse Set.image_eq_preimage_of_inverse
theorem mem_image_iff_of_inverse {f : α → β} {g : β → α} {b : β} {s : Set α} (h₁ : LeftInverse g f)
(h₂ : RightInverse g f) : b ∈ f '' s ↔ g b ∈ s := by
rw [image_eq_preimage_of_inverse h₁ h₂]; rfl
#align set.mem_image_iff_of_inverse Set.mem_image_iff_of_inverse
theorem image_compl_subset {f : α → β} {s : Set α} (H : Injective f) : f '' sᶜ ⊆ (f '' s)ᶜ :=
Disjoint.subset_compl_left <| by simp [disjoint_iff_inf_le, ← image_inter H]
#align set.image_compl_subset Set.image_compl_subset
theorem subset_image_compl {f : α → β} {s : Set α} (H : Surjective f) : (f '' s)ᶜ ⊆ f '' sᶜ :=
compl_subset_iff_union.2 <| by
rw [← image_union]
simp [image_univ_of_surjective H]
#align set.subset_image_compl Set.subset_image_compl
theorem image_compl_eq {f : α → β} {s : Set α} (H : Bijective f) : f '' sᶜ = (f '' s)ᶜ :=
Subset.antisymm (image_compl_subset H.1) (subset_image_compl H.2)
#align set.image_compl_eq Set.image_compl_eq
theorem subset_image_diff (f : α → β) (s t : Set α) : f '' s \ f '' t ⊆ f '' (s \ t) := by
rw [diff_subset_iff, ← image_union, union_diff_self]
exact image_subset f subset_union_right
#align set.subset_image_diff Set.subset_image_diff
open scoped symmDiff in
theorem subset_image_symmDiff : (f '' s) ∆ (f '' t) ⊆ f '' s ∆ t :=
(union_subset_union (subset_image_diff _ _ _) <| subset_image_diff _ _ _).trans
(superset_of_eq (image_union _ _ _))
#align set.subset_image_symm_diff Set.subset_image_symmDiff
theorem image_diff {f : α → β} (hf : Injective f) (s t : Set α) : f '' (s \ t) = f '' s \ f '' t :=
Subset.antisymm
(Subset.trans (image_inter_subset _ _ _) <| inter_subset_inter_right _ <| image_compl_subset hf)
(subset_image_diff f s t)
#align set.image_diff Set.image_diff
open scoped symmDiff in
theorem image_symmDiff (hf : Injective f) (s t : Set α) : f '' s ∆ t = (f '' s) ∆ (f '' t) := by
simp_rw [Set.symmDiff_def, image_union, image_diff hf]
#align set.image_symm_diff Set.image_symmDiff
theorem Nonempty.image (f : α → β) {s : Set α} : s.Nonempty → (f '' s).Nonempty
| ⟨x, hx⟩ => ⟨f x, mem_image_of_mem f hx⟩
#align set.nonempty.image Set.Nonempty.image
theorem Nonempty.of_image {f : α → β} {s : Set α} : (f '' s).Nonempty → s.Nonempty
| ⟨_, x, hx, _⟩ => ⟨x, hx⟩
#align set.nonempty.of_image Set.Nonempty.of_image
@[simp]
theorem image_nonempty {f : α → β} {s : Set α} : (f '' s).Nonempty ↔ s.Nonempty :=
⟨Nonempty.of_image, fun h => h.image f⟩
#align set.nonempty_image_iff Set.image_nonempty
@[deprecated (since := "2024-01-06")] alias nonempty_image_iff := image_nonempty
theorem Nonempty.preimage {s : Set β} (hs : s.Nonempty) {f : α → β} (hf : Surjective f) :
(f ⁻¹' s).Nonempty :=
let ⟨y, hy⟩ := hs
let ⟨x, hx⟩ := hf y
⟨x, mem_preimage.2 <| hx.symm ▸ hy⟩
#align set.nonempty.preimage Set.Nonempty.preimage
instance (f : α → β) (s : Set α) [Nonempty s] : Nonempty (f '' s) :=
(Set.Nonempty.image f nonempty_of_nonempty_subtype).to_subtype
/-- image and preimage are a Galois connection -/
@[simp]
theorem image_subset_iff {s : Set α} {t : Set β} {f : α → β} : f '' s ⊆ t ↔ s ⊆ f ⁻¹' t :=
forall_mem_image
#align set.image_subset_iff Set.image_subset_iff
theorem image_preimage_subset (f : α → β) (s : Set β) : f '' (f ⁻¹' s) ⊆ s :=
image_subset_iff.2 Subset.rfl
#align set.image_preimage_subset Set.image_preimage_subset
theorem subset_preimage_image (f : α → β) (s : Set α) : s ⊆ f ⁻¹' (f '' s) := fun _ =>
mem_image_of_mem f
#align set.subset_preimage_image Set.subset_preimage_image
@[simp]
theorem preimage_image_eq {f : α → β} (s : Set α) (h : Injective f) : f ⁻¹' (f '' s) = s :=
Subset.antisymm (fun _ ⟨_, hy, e⟩ => h e ▸ hy) (subset_preimage_image f s)
#align set.preimage_image_eq Set.preimage_image_eq
@[simp]
theorem image_preimage_eq {f : α → β} (s : Set β) (h : Surjective f) : f '' (f ⁻¹' s) = s :=
Subset.antisymm (image_preimage_subset f s) fun x hx =>
let ⟨y, e⟩ := h x
⟨y, (e.symm ▸ hx : f y ∈ s), e⟩
#align set.image_preimage_eq Set.image_preimage_eq
@[simp]
theorem Nonempty.subset_preimage_const {s : Set α} (hs : Set.Nonempty s) (t : Set β) (a : β) :
s ⊆ (fun _ => a) ⁻¹' t ↔ a ∈ t := by
rw [← image_subset_iff, hs.image_const, singleton_subset_iff]
@[simp]
theorem preimage_eq_preimage {f : β → α} (hf : Surjective f) : f ⁻¹' s = f ⁻¹' t ↔ s = t :=
Iff.intro
fun eq => by rw [← image_preimage_eq s hf, ← image_preimage_eq t hf, eq]
fun eq => eq ▸ rfl
#align set.preimage_eq_preimage Set.preimage_eq_preimage
theorem image_inter_preimage (f : α → β) (s : Set α) (t : Set β) :
f '' (s ∩ f ⁻¹' t) = f '' s ∩ t := by
apply Subset.antisymm
· calc
f '' (s ∩ f ⁻¹' t) ⊆ f '' s ∩ f '' (f ⁻¹' t) := image_inter_subset _ _ _
_ ⊆ f '' s ∩ t := inter_subset_inter_right _ (image_preimage_subset f t)
· rintro _ ⟨⟨x, h', rfl⟩, h⟩
exact ⟨x, ⟨h', h⟩, rfl⟩
#align set.image_inter_preimage Set.image_inter_preimage
theorem image_preimage_inter (f : α → β) (s : Set α) (t : Set β) :
f '' (f ⁻¹' t ∩ s) = t ∩ f '' s := by simp only [inter_comm, image_inter_preimage]
#align set.image_preimage_inter Set.image_preimage_inter
@[simp]
theorem image_inter_nonempty_iff {f : α → β} {s : Set α} {t : Set β} :
(f '' s ∩ t).Nonempty ↔ (s ∩ f ⁻¹' t).Nonempty := by
rw [← image_inter_preimage, image_nonempty]
#align set.image_inter_nonempty_iff Set.image_inter_nonempty_iff
theorem image_diff_preimage {f : α → β} {s : Set α} {t : Set β} :
f '' (s \ f ⁻¹' t) = f '' s \ t := by simp_rw [diff_eq, ← preimage_compl, image_inter_preimage]
#align set.image_diff_preimage Set.image_diff_preimage
theorem compl_image : image (compl : Set α → Set α) = preimage compl :=
image_eq_preimage_of_inverse compl_compl compl_compl
#align set.compl_image Set.compl_image
theorem compl_image_set_of {p : Set α → Prop} : compl '' { s | p s } = { s | p sᶜ } :=
congr_fun compl_image p
#align set.compl_image_set_of Set.compl_image_set_of
theorem inter_preimage_subset (s : Set α) (t : Set β) (f : α → β) :
s ∩ f ⁻¹' t ⊆ f ⁻¹' (f '' s ∩ t) := fun _ h => ⟨mem_image_of_mem _ h.left, h.right⟩
#align set.inter_preimage_subset Set.inter_preimage_subset
theorem union_preimage_subset (s : Set α) (t : Set β) (f : α → β) :
s ∪ f ⁻¹' t ⊆ f ⁻¹' (f '' s ∪ t) := fun _ h =>
Or.elim h (fun l => Or.inl <| mem_image_of_mem _ l) fun r => Or.inr r
#align set.union_preimage_subset Set.union_preimage_subset
theorem subset_image_union (f : α → β) (s : Set α) (t : Set β) : f '' (s ∪ f ⁻¹' t) ⊆ f '' s ∪ t :=
image_subset_iff.2 (union_preimage_subset _ _ _)
#align set.subset_image_union Set.subset_image_union
theorem preimage_subset_iff {A : Set α} {B : Set β} {f : α → β} :
f ⁻¹' B ⊆ A ↔ ∀ a : α, f a ∈ B → a ∈ A :=
Iff.rfl
#align set.preimage_subset_iff Set.preimage_subset_iff
theorem image_eq_image {f : α → β} (hf : Injective f) : f '' s = f '' t ↔ s = t :=
Iff.symm <|
(Iff.intro fun eq => eq ▸ rfl) fun eq => by
rw [← preimage_image_eq s hf, ← preimage_image_eq t hf, eq]
#align set.image_eq_image Set.image_eq_image
theorem subset_image_iff {t : Set β} :
t ⊆ f '' s ↔ ∃ u, u ⊆ s ∧ f '' u = t := by
refine ⟨fun h ↦ ⟨f ⁻¹' t ∩ s, inter_subset_right, ?_⟩,
fun ⟨u, hu, hu'⟩ ↦ hu'.symm ▸ image_mono hu⟩
rwa [image_preimage_inter, inter_eq_left]
theorem image_subset_image_iff {f : α → β} (hf : Injective f) : f '' s ⊆ f '' t ↔ s ⊆ t := by
refine Iff.symm <| (Iff.intro (image_subset f)) fun h => ?_
rw [← preimage_image_eq s hf, ← preimage_image_eq t hf]
exact preimage_mono h
#align set.image_subset_image_iff Set.image_subset_image_iff
theorem prod_quotient_preimage_eq_image [s : Setoid α] (g : Quotient s → β) {h : α → β}
(Hh : h = g ∘ Quotient.mk'') (r : Set (β × β)) :
{ x : Quotient s × Quotient s | (g x.1, g x.2) ∈ r } =
(fun a : α × α => (⟦a.1⟧, ⟦a.2⟧)) '' ((fun a : α × α => (h a.1, h a.2)) ⁻¹' r) :=
Hh.symm ▸
Set.ext fun ⟨a₁, a₂⟩ =>
⟨Quot.induction_on₂ a₁ a₂ fun a₁ a₂ h => ⟨(a₁, a₂), h, rfl⟩, fun ⟨⟨b₁, b₂⟩, h₁, h₂⟩ =>
show (g a₁, g a₂) ∈ r from
have h₃ : ⟦b₁⟧ = a₁ ∧ ⟦b₂⟧ = a₂ := Prod.ext_iff.1 h₂
h₃.1 ▸ h₃.2 ▸ h₁⟩
#align set.prod_quotient_preimage_eq_image Set.prod_quotient_preimage_eq_image
theorem exists_image_iff (f : α → β) (x : Set α) (P : β → Prop) :
(∃ a : f '' x, P a) ↔ ∃ a : x, P (f a) :=
⟨fun ⟨a, h⟩ => ⟨⟨_, a.prop.choose_spec.1⟩, a.prop.choose_spec.2.symm ▸ h⟩, fun ⟨a, h⟩ =>
⟨⟨_, _, a.prop, rfl⟩, h⟩⟩
#align set.exists_image_iff Set.exists_image_iff
theorem imageFactorization_eq {f : α → β} {s : Set α} :
Subtype.val ∘ imageFactorization f s = f ∘ Subtype.val :=
funext fun _ => rfl
#align set.image_factorization_eq Set.imageFactorization_eq
theorem surjective_onto_image {f : α → β} {s : Set α} : Surjective (imageFactorization f s) :=
fun ⟨_, ⟨a, ha, rfl⟩⟩ => ⟨⟨a, ha⟩, rfl⟩
#align set.surjective_onto_image Set.surjective_onto_image
/-- If the only elements outside `s` are those left fixed by `σ`, then mapping by `σ` has no effect.
-/
theorem image_perm {s : Set α} {σ : Equiv.Perm α} (hs : { a : α | σ a ≠ a } ⊆ s) : σ '' s = s := by
ext i
obtain hi | hi := eq_or_ne (σ i) i
· refine ⟨?_, fun h => ⟨i, h, hi⟩⟩
rintro ⟨j, hj, h⟩
rwa [σ.injective (hi.trans h.symm)]
· refine iff_of_true ⟨σ.symm i, hs fun h => hi ?_, σ.apply_symm_apply _⟩ (hs hi)
convert congr_arg σ h <;> exact (σ.apply_symm_apply _).symm
#align set.image_perm Set.image_perm
end Image
/-! ### Lemmas about the powerset and image. -/
/-- The powerset of `{a} ∪ s` is `𝒫 s` together with `{a} ∪ t` for each `t ∈ 𝒫 s`. -/
theorem powerset_insert (s : Set α) (a : α) : 𝒫 insert a s = 𝒫 s ∪ insert a '' 𝒫 s := by
ext t
simp_rw [mem_union, mem_image, mem_powerset_iff]
constructor
· intro h
by_cases hs : a ∈ t
· right
refine ⟨t \ {a}, ?_, ?_⟩
· rw [diff_singleton_subset_iff]
assumption
· rw [insert_diff_singleton, insert_eq_of_mem hs]
· left
exact (subset_insert_iff_of_not_mem hs).mp h
· rintro (h | ⟨s', h₁, rfl⟩)
· exact subset_trans h (subset_insert a s)
· exact insert_subset_insert h₁
#align set.powerset_insert Set.powerset_insert
/-! ### Lemmas about range of a function. -/
section Range
variable {f : ι → α} {s t : Set α}
theorem forall_mem_range {p : α → Prop} : (∀ a ∈ range f, p a) ↔ ∀ i, p (f i) := by simp
#align set.forall_range_iff Set.forall_mem_range
@[deprecated (since := "2024-02-21")] alias forall_range_iff := forall_mem_range
theorem forall_subtype_range_iff {p : range f → Prop} :
(∀ a : range f, p a) ↔ ∀ i, p ⟨f i, mem_range_self _⟩ :=
⟨fun H i => H _, fun H ⟨y, i, hi⟩ => by
subst hi
apply H⟩
#align set.forall_subtype_range_iff Set.forall_subtype_range_iff
theorem exists_range_iff {p : α → Prop} : (∃ a ∈ range f, p a) ↔ ∃ i, p (f i) := by simp
#align set.exists_range_iff Set.exists_range_iff
@[deprecated (since := "2024-03-10")]
alias exists_range_iff' := exists_range_iff
#align set.exists_range_iff' Set.exists_range_iff'
theorem exists_subtype_range_iff {p : range f → Prop} :
(∃ a : range f, p a) ↔ ∃ i, p ⟨f i, mem_range_self _⟩ :=
⟨fun ⟨⟨a, i, hi⟩, ha⟩ => by
subst a
exact ⟨i, ha⟩,
fun ⟨i, hi⟩ => ⟨_, hi⟩⟩
#align set.exists_subtype_range_iff Set.exists_subtype_range_iff
theorem range_iff_surjective : range f = univ ↔ Surjective f :=
eq_univ_iff_forall
#align set.range_iff_surjective Set.range_iff_surjective
alias ⟨_, _root_.Function.Surjective.range_eq⟩ := range_iff_surjective
#align function.surjective.range_eq Function.Surjective.range_eq
@[simp]
theorem subset_range_of_surjective {f : α → β} (h : Surjective f) (s : Set β) :
s ⊆ range f := Surjective.range_eq h ▸ subset_univ s
@[simp]
theorem image_univ {f : α → β} : f '' univ = range f := by
ext
simp [image, range]
#align set.image_univ Set.image_univ
@[simp]
theorem preimage_eq_univ_iff {f : α → β} {s} : f ⁻¹' s = univ ↔ range f ⊆ s := by
rw [← univ_subset_iff, ← image_subset_iff, image_univ]
theorem image_subset_range (f : α → β) (s) : f '' s ⊆ range f := by
rw [← image_univ]; exact image_subset _ (subset_univ _)
#align set.image_subset_range Set.image_subset_range
theorem mem_range_of_mem_image (f : α → β) (s) {x : β} (h : x ∈ f '' s) : x ∈ range f :=
image_subset_range f s h
#align set.mem_range_of_mem_image Set.mem_range_of_mem_image
theorem _root_.Nat.mem_range_succ (i : ℕ) : i ∈ range Nat.succ ↔ 0 < i :=
⟨by
rintro ⟨n, rfl⟩
exact Nat.succ_pos n, fun h => ⟨_, Nat.succ_pred_eq_of_pos h⟩⟩
#align nat.mem_range_succ Nat.mem_range_succ
theorem Nonempty.preimage' {s : Set β} (hs : s.Nonempty) {f : α → β} (hf : s ⊆ range f) :
(f ⁻¹' s).Nonempty :=
let ⟨_, hy⟩ := hs
let ⟨x, hx⟩ := hf hy
⟨x, Set.mem_preimage.2 <| hx.symm ▸ hy⟩
#align set.nonempty.preimage' Set.Nonempty.preimage'
theorem range_comp (g : α → β) (f : ι → α) : range (g ∘ f) = g '' range f := by aesop
#align set.range_comp Set.range_comp
theorem range_subset_iff : range f ⊆ s ↔ ∀ y, f y ∈ s :=
forall_mem_range
#align set.range_subset_iff Set.range_subset_iff
theorem range_subset_range_iff_exists_comp {f : α → γ} {g : β → γ} :
range f ⊆ range g ↔ ∃ h : α → β, f = g ∘ h := by
simp only [range_subset_iff, mem_range, Classical.skolem, Function.funext_iff, (· ∘ ·), eq_comm]
theorem range_eq_iff (f : α → β) (s : Set β) :
range f = s ↔ (∀ a, f a ∈ s) ∧ ∀ b ∈ s, ∃ a, f a = b := by
rw [← range_subset_iff]
exact le_antisymm_iff
#align set.range_eq_iff Set.range_eq_iff
theorem range_comp_subset_range (f : α → β) (g : β → γ) : range (g ∘ f) ⊆ range g := by
rw [range_comp]; apply image_subset_range
#align set.range_comp_subset_range Set.range_comp_subset_range
theorem range_nonempty_iff_nonempty : (range f).Nonempty ↔ Nonempty ι :=
⟨fun ⟨_, x, _⟩ => ⟨x⟩, fun ⟨x⟩ => ⟨f x, mem_range_self x⟩⟩
#align set.range_nonempty_iff_nonempty Set.range_nonempty_iff_nonempty
theorem range_nonempty [h : Nonempty ι] (f : ι → α) : (range f).Nonempty :=
range_nonempty_iff_nonempty.2 h
#align set.range_nonempty Set.range_nonempty
@[simp]
theorem range_eq_empty_iff {f : ι → α} : range f = ∅ ↔ IsEmpty ι := by
rw [← not_nonempty_iff, ← range_nonempty_iff_nonempty, not_nonempty_iff_eq_empty]
#align set.range_eq_empty_iff Set.range_eq_empty_iff
theorem range_eq_empty [IsEmpty ι] (f : ι → α) : range f = ∅ :=
range_eq_empty_iff.2 ‹_›
#align set.range_eq_empty Set.range_eq_empty
instance instNonemptyRange [Nonempty ι] (f : ι → α) : Nonempty (range f) :=
(range_nonempty f).to_subtype
@[simp]
theorem image_union_image_compl_eq_range (f : α → β) : f '' s ∪ f '' sᶜ = range f := by
rw [← image_union, ← image_univ, ← union_compl_self]
#align set.image_union_image_compl_eq_range Set.image_union_image_compl_eq_range
theorem insert_image_compl_eq_range (f : α → β) (x : α) : insert (f x) (f '' {x}ᶜ) = range f := by
rw [← image_insert_eq, insert_eq, union_compl_self, image_univ]
#align set.insert_image_compl_eq_range Set.insert_image_compl_eq_range
theorem image_preimage_eq_range_inter {f : α → β} {t : Set β} : f '' (f ⁻¹' t) = range f ∩ t :=
ext fun x =>
⟨fun ⟨x, hx, HEq⟩ => HEq ▸ ⟨mem_range_self _, hx⟩, fun ⟨⟨y, h_eq⟩, hx⟩ =>
h_eq ▸ mem_image_of_mem f <| show y ∈ f ⁻¹' t by rw [preimage, mem_setOf, h_eq]; exact hx⟩
theorem image_preimage_eq_inter_range {f : α → β} {t : Set β} : f '' (f ⁻¹' t) = t ∩ range f := by
rw [image_preimage_eq_range_inter, inter_comm]
#align set.image_preimage_eq_inter_range Set.image_preimage_eq_inter_range
theorem image_preimage_eq_of_subset {f : α → β} {s : Set β} (hs : s ⊆ range f) :
f '' (f ⁻¹' s) = s := by rw [image_preimage_eq_range_inter, inter_eq_self_of_subset_right hs]
#align set.image_preimage_eq_of_subset Set.image_preimage_eq_of_subset
theorem image_preimage_eq_iff {f : α → β} {s : Set β} : f '' (f ⁻¹' s) = s ↔ s ⊆ range f :=
⟨by
intro h
rw [← h]
apply image_subset_range,
image_preimage_eq_of_subset⟩
#align set.image_preimage_eq_iff Set.image_preimage_eq_iff
theorem subset_range_iff_exists_image_eq {f : α → β} {s : Set β} : s ⊆ range f ↔ ∃ t, f '' t = s :=
⟨fun h => ⟨_, image_preimage_eq_iff.2 h⟩, fun ⟨_, ht⟩ => ht ▸ image_subset_range _ _⟩
#align set.subset_range_iff_exists_image_eq Set.subset_range_iff_exists_image_eq
theorem range_image (f : α → β) : range (image f) = 𝒫 range f :=
ext fun _ => subset_range_iff_exists_image_eq.symm
#align set.range_image Set.range_image
@[simp]
theorem exists_subset_range_and_iff {f : α → β} {p : Set β → Prop} :
(∃ s, s ⊆ range f ∧ p s) ↔ ∃ s, p (f '' s) := by
rw [← exists_range_iff, range_image]; rfl
#align set.exists_subset_range_and_iff Set.exists_subset_range_and_iff
theorem exists_subset_range_iff {f : α → β} {p : Set β → Prop} :
(∃ (s : _) (_ : s ⊆ range f), p s) ↔ ∃ s, p (f '' s) := by simp
#align set.exists_subset_range_iff Set.exists_subset_range_iff
theorem forall_subset_range_iff {f : α → β} {p : Set β → Prop} :
(∀ s, s ⊆ range f → p s) ↔ ∀ s, p (f '' s) := by
rw [← forall_mem_range, range_image]; rfl
@[simp]
theorem preimage_subset_preimage_iff {s t : Set α} {f : β → α} (hs : s ⊆ range f) :
f ⁻¹' s ⊆ f ⁻¹' t ↔ s ⊆ t := by
constructor
· intro h x hx
rcases hs hx with ⟨y, rfl⟩
exact h hx
intro h x; apply h
#align set.preimage_subset_preimage_iff Set.preimage_subset_preimage_iff
theorem preimage_eq_preimage' {s t : Set α} {f : β → α} (hs : s ⊆ range f) (ht : t ⊆ range f) :
f ⁻¹' s = f ⁻¹' t ↔ s = t := by
constructor
· intro h
apply Subset.antisymm
· rw [← preimage_subset_preimage_iff hs, h]
· rw [← preimage_subset_preimage_iff ht, h]
rintro rfl; rfl
#align set.preimage_eq_preimage' Set.preimage_eq_preimage'
-- Porting note:
-- @[simp] `simp` can prove this
theorem preimage_inter_range {f : α → β} {s : Set β} : f ⁻¹' (s ∩ range f) = f ⁻¹' s :=
Set.ext fun x => and_iff_left ⟨x, rfl⟩
#align set.preimage_inter_range Set.preimage_inter_range
-- Porting note:
-- @[simp] `simp` can prove this
theorem preimage_range_inter {f : α → β} {s : Set β} : f ⁻¹' (range f ∩ s) = f ⁻¹' s := by
rw [inter_comm, preimage_inter_range]
#align set.preimage_range_inter Set.preimage_range_inter
theorem preimage_image_preimage {f : α → β} {s : Set β} : f ⁻¹' (f '' (f ⁻¹' s)) = f ⁻¹' s := by
rw [image_preimage_eq_range_inter, preimage_range_inter]
#align set.preimage_image_preimage Set.preimage_image_preimage
@[simp, mfld_simps]
theorem range_id : range (@id α) = univ :=
range_iff_surjective.2 surjective_id
#align set.range_id Set.range_id
@[simp, mfld_simps]
theorem range_id' : (range fun x : α => x) = univ :=
range_id
#align set.range_id' Set.range_id'
@[simp]
theorem _root_.Prod.range_fst [Nonempty β] : range (Prod.fst : α × β → α) = univ :=
Prod.fst_surjective.range_eq
#align prod.range_fst Prod.range_fst
@[simp]
theorem _root_.Prod.range_snd [Nonempty α] : range (Prod.snd : α × β → β) = univ :=
Prod.snd_surjective.range_eq
#align prod.range_snd Prod.range_snd
@[simp]
theorem range_eval {α : ι → Sort _} [∀ i, Nonempty (α i)] (i : ι) :
range (eval i : (∀ i, α i) → α i) = univ :=
(surjective_eval i).range_eq
#align set.range_eval Set.range_eval
theorem range_inl : range (@Sum.inl α β) = {x | Sum.isLeft x} := by ext (_|_) <;> simp
#align set.range_inl Set.range_inl
theorem range_inr : range (@Sum.inr α β) = {x | Sum.isRight x} := by ext (_|_) <;> simp
#align set.range_inr Set.range_inr
theorem isCompl_range_inl_range_inr : IsCompl (range <| @Sum.inl α β) (range Sum.inr) :=
IsCompl.of_le
(by
rintro y ⟨⟨x₁, rfl⟩, ⟨x₂, h⟩⟩
exact Sum.noConfusion h)
(by rintro (x | y) - <;> [left; right] <;> exact mem_range_self _)
#align set.is_compl_range_inl_range_inr Set.isCompl_range_inl_range_inr
@[simp]
theorem range_inl_union_range_inr : range (Sum.inl : α → Sum α β) ∪ range Sum.inr = univ :=
isCompl_range_inl_range_inr.sup_eq_top
#align set.range_inl_union_range_inr Set.range_inl_union_range_inr
@[simp]
theorem range_inl_inter_range_inr : range (Sum.inl : α → Sum α β) ∩ range Sum.inr = ∅ :=
isCompl_range_inl_range_inr.inf_eq_bot
#align set.range_inl_inter_range_inr Set.range_inl_inter_range_inr
@[simp]
theorem range_inr_union_range_inl : range (Sum.inr : β → Sum α β) ∪ range Sum.inl = univ :=
isCompl_range_inl_range_inr.symm.sup_eq_top
#align set.range_inr_union_range_inl Set.range_inr_union_range_inl
@[simp]
theorem range_inr_inter_range_inl : range (Sum.inr : β → Sum α β) ∩ range Sum.inl = ∅ :=
isCompl_range_inl_range_inr.symm.inf_eq_bot
#align set.range_inr_inter_range_inl Set.range_inr_inter_range_inl
@[simp]
theorem preimage_inl_image_inr (s : Set β) : Sum.inl ⁻¹' (@Sum.inr α β '' s) = ∅ := by
ext
simp
#align set.preimage_inl_image_inr Set.preimage_inl_image_inr
@[simp]
theorem preimage_inr_image_inl (s : Set α) : Sum.inr ⁻¹' (@Sum.inl α β '' s) = ∅ := by
ext
simp
#align set.preimage_inr_image_inl Set.preimage_inr_image_inl
@[simp]
theorem preimage_inl_range_inr : Sum.inl ⁻¹' range (Sum.inr : β → Sum α β) = ∅ := by
rw [← image_univ, preimage_inl_image_inr]
#align set.preimage_inl_range_inr Set.preimage_inl_range_inr
@[simp]
theorem preimage_inr_range_inl : Sum.inr ⁻¹' range (Sum.inl : α → Sum α β) = ∅ := by
rw [← image_univ, preimage_inr_image_inl]
#align set.preimage_inr_range_inl Set.preimage_inr_range_inl
@[simp]
theorem compl_range_inl : (range (Sum.inl : α → Sum α β))ᶜ = range (Sum.inr : β → Sum α β) :=
IsCompl.compl_eq isCompl_range_inl_range_inr
#align set.compl_range_inl Set.compl_range_inl
@[simp]
theorem compl_range_inr : (range (Sum.inr : β → Sum α β))ᶜ = range (Sum.inl : α → Sum α β) :=
IsCompl.compl_eq isCompl_range_inl_range_inr.symm
#align set.compl_range_inr Set.compl_range_inr
theorem image_preimage_inl_union_image_preimage_inr (s : Set (Sum α β)) :
Sum.inl '' (Sum.inl ⁻¹' s) ∪ Sum.inr '' (Sum.inr ⁻¹' s) = s := by
rw [image_preimage_eq_inter_range, image_preimage_eq_inter_range, ← inter_union_distrib_left,
range_inl_union_range_inr, inter_univ]
#align set.image_preimage_inl_union_image_preimage_inr Set.image_preimage_inl_union_image_preimage_inr
@[simp]
theorem range_quot_mk (r : α → α → Prop) : range (Quot.mk r) = univ :=
(surjective_quot_mk r).range_eq
#align set.range_quot_mk Set.range_quot_mk
@[simp]
theorem range_quot_lift {r : ι → ι → Prop} (hf : ∀ x y, r x y → f x = f y) :
range (Quot.lift f hf) = range f :=
ext fun _ => (surjective_quot_mk _).exists
#align set.range_quot_lift Set.range_quot_lift
-- Porting note: the `Setoid α` instance is not being filled in
@[simp]
theorem range_quotient_mk [sa : Setoid α] : (range (α := Quotient sa) fun x : α => ⟦x⟧) = univ :=
range_quot_mk _
#align set.range_quotient_mk Set.range_quotient_mk
@[simp]
theorem range_quotient_lift [s : Setoid ι] (hf) :
range (Quotient.lift f hf : Quotient s → α) = range f :=
range_quot_lift _
#align set.range_quotient_lift Set.range_quotient_lift
@[simp]
theorem range_quotient_mk' {s : Setoid α} : range (Quotient.mk' : α → Quotient s) = univ :=
range_quot_mk _
#align set.range_quotient_mk' Set.range_quotient_mk'
@[simp] lemma Quotient.range_mk'' {sa : Setoid α} : range (Quotient.mk'' (s₁ := sa)) = univ :=
range_quotient_mk
@[simp]
theorem range_quotient_lift_on' {s : Setoid ι} (hf) :
(range fun x : Quotient s => Quotient.liftOn' x f hf) = range f :=
range_quot_lift _
#align set.range_quotient_lift_on' Set.range_quotient_lift_on'
instance canLift (c) (p) [CanLift α β c p] :
CanLift (Set α) (Set β) (c '' ·) fun s => ∀ x ∈ s, p x where
prf _ hs := subset_range_iff_exists_image_eq.mp fun x hx => CanLift.prf _ (hs x hx)
#align set.can_lift Set.canLift
theorem range_const_subset {c : α} : (range fun _ : ι => c) ⊆ {c} :=
range_subset_iff.2 fun _ => rfl
#align set.range_const_subset Set.range_const_subset
@[simp]
theorem range_const : ∀ [Nonempty ι] {c : α}, (range fun _ : ι => c) = {c}
| ⟨x⟩, _ =>
(Subset.antisymm range_const_subset) fun _ hy =>
(mem_singleton_iff.1 hy).symm ▸ mem_range_self x
#align set.range_const Set.range_const
theorem range_subtype_map {p : α → Prop} {q : β → Prop} (f : α → β) (h : ∀ x, p x → q (f x)) :
range (Subtype.map f h) = (↑) ⁻¹' (f '' { x | p x }) := by
ext ⟨x, hx⟩
rw [mem_preimage, mem_range, mem_image, Subtype.exists, Subtype.coe_mk]
apply Iff.intro
· rintro ⟨a, b, hab⟩
rw [Subtype.map, Subtype.mk.injEq] at hab
use a
trivial
· rintro ⟨a, b, hab⟩
use a
use b
rw [Subtype.map, Subtype.mk.injEq]
exact hab
-- Porting note: `simp_rw` fails here
-- simp_rw [mem_preimage, mem_range, mem_image, Subtype.exists, Subtype.map, Subtype.coe_mk,
-- mem_set_of, exists_prop]
#align set.range_subtype_map Set.range_subtype_map
theorem image_swap_eq_preimage_swap : image (@Prod.swap α β) = preimage Prod.swap :=
image_eq_preimage_of_inverse Prod.swap_leftInverse Prod.swap_rightInverse
#align set.image_swap_eq_preimage_swap Set.image_swap_eq_preimage_swap
theorem preimage_singleton_nonempty {f : α → β} {y : β} : (f ⁻¹' {y}).Nonempty ↔ y ∈ range f :=
Iff.rfl
#align set.preimage_singleton_nonempty Set.preimage_singleton_nonempty
theorem preimage_singleton_eq_empty {f : α → β} {y : β} : f ⁻¹' {y} = ∅ ↔ y ∉ range f :=
not_nonempty_iff_eq_empty.symm.trans preimage_singleton_nonempty.not
#align set.preimage_singleton_eq_empty Set.preimage_singleton_eq_empty
theorem range_subset_singleton {f : ι → α} {x : α} : range f ⊆ {x} ↔ f = const ι x := by
simp [range_subset_iff, funext_iff, mem_singleton]
#align set.range_subset_singleton Set.range_subset_singleton
theorem image_compl_preimage {f : α → β} {s : Set β} : f '' (f ⁻¹' s)ᶜ = range f \ s := by
rw [compl_eq_univ_diff, image_diff_preimage, image_univ]
#align set.image_compl_preimage Set.image_compl_preimage
theorem rangeFactorization_eq {f : ι → β} : Subtype.val ∘ rangeFactorization f = f :=
funext fun _ => rfl
#align set.range_factorization_eq Set.rangeFactorization_eq
@[simp]
theorem rangeFactorization_coe (f : ι → β) (a : ι) : (rangeFactorization f a : β) = f a :=
rfl
#align set.range_factorization_coe Set.rangeFactorization_coe
@[simp]
theorem coe_comp_rangeFactorization (f : ι → β) : (↑) ∘ rangeFactorization f = f := rfl
#align set.coe_comp_range_factorization Set.coe_comp_rangeFactorization
theorem surjective_onto_range : Surjective (rangeFactorization f) := fun ⟨_, ⟨i, rfl⟩⟩ => ⟨i, rfl⟩
#align set.surjective_onto_range Set.surjective_onto_range
theorem image_eq_range (f : α → β) (s : Set α) : f '' s = range fun x : s => f x := by
ext
constructor
· rintro ⟨x, h1, h2⟩
exact ⟨⟨x, h1⟩, h2⟩
· rintro ⟨⟨x, h1⟩, h2⟩
exact ⟨x, h1, h2⟩
#align set.image_eq_range Set.image_eq_range
theorem _root_.Sum.range_eq (f : Sum α β → γ) :
range f = range (f ∘ Sum.inl) ∪ range (f ∘ Sum.inr) :=
ext fun _ => Sum.exists
#align sum.range_eq Sum.range_eq
@[simp]
theorem Sum.elim_range (f : α → γ) (g : β → γ) : range (Sum.elim f g) = range f ∪ range g :=
Sum.range_eq _
#align set.sum.elim_range Set.Sum.elim_range
theorem range_ite_subset' {p : Prop} [Decidable p] {f g : α → β} :
range (if p then f else g) ⊆ range f ∪ range g := by
by_cases h : p
· rw [if_pos h]
exact subset_union_left
· rw [if_neg h]
exact subset_union_right
#align set.range_ite_subset' Set.range_ite_subset'
theorem range_ite_subset {p : α → Prop} [DecidablePred p] {f g : α → β} :
(range fun x => if p x then f x else g x) ⊆ range f ∪ range g := by
rw [range_subset_iff]; intro x; by_cases h : p x
· simp only [if_pos h, mem_union, mem_range, exists_apply_eq_apply, true_or]
· simp [if_neg h, mem_union, mem_range_self]
#align set.range_ite_subset Set.range_ite_subset
@[simp]
theorem preimage_range (f : α → β) : f ⁻¹' range f = univ :=
eq_univ_of_forall mem_range_self
#align set.preimage_range Set.preimage_range
/-- The range of a function from a `Unique` type contains just the
function applied to its single value. -/
theorem range_unique [h : Unique ι] : range f = {f default} := by
ext x
rw [mem_range]
constructor
· rintro ⟨i, hi⟩
rw [h.uniq i] at hi
exact hi ▸ mem_singleton _
· exact fun h => ⟨default, h.symm⟩
#align set.range_unique Set.range_unique
theorem range_diff_image_subset (f : α → β) (s : Set α) : range f \ f '' s ⊆ f '' sᶜ :=
fun _ ⟨⟨x, h₁⟩, h₂⟩ => ⟨x, fun h => h₂ ⟨x, h, h₁⟩, h₁⟩
#align set.range_diff_image_subset Set.range_diff_image_subset
theorem range_diff_image {f : α → β} (H : Injective f) (s : Set α) : range f \ f '' s = f '' sᶜ :=
(Subset.antisymm (range_diff_image_subset f s)) fun _ ⟨_, hx, hy⟩ =>
hy ▸ ⟨mem_range_self _, fun ⟨_, hx', Eq⟩ => hx <| H Eq ▸ hx'⟩
#align set.range_diff_image Set.range_diff_image
@[simp]
theorem range_inclusion (h : s ⊆ t) : range (inclusion h) = { x : t | (x : α) ∈ s } := by
ext ⟨x, hx⟩
-- Porting note: `simp [inclusion]` doesn't solve goal
apply Iff.intro
· rw [mem_range]
rintro ⟨a, ha⟩
rw [inclusion, Subtype.mk.injEq] at ha
rw [mem_setOf, Subtype.coe_mk, ← ha]
exact Subtype.coe_prop _
· rw [mem_setOf, Subtype.coe_mk, mem_range]
intro hx'
use ⟨x, hx'⟩
trivial
-- simp_rw [inclusion, mem_range, Subtype.mk_eq_mk]
-- rw [SetCoe.exists, Subtype.coe_mk, exists_prop, exists_eq_right, mem_set_of, Subtype.coe_mk]
#align set.range_inclusion Set.range_inclusion
-- When `f` is injective, see also `Equiv.ofInjective`.
theorem leftInverse_rangeSplitting (f : α → β) :
LeftInverse (rangeFactorization f) (rangeSplitting f) := fun x => by
apply Subtype.ext -- Porting note: why doesn't `ext` find this lemma?
simp only [rangeFactorization_coe]
apply apply_rangeSplitting
#align set.left_inverse_range_splitting Set.leftInverse_rangeSplitting
theorem rangeSplitting_injective (f : α → β) : Injective (rangeSplitting f) :=
(leftInverse_rangeSplitting f).injective
#align set.range_splitting_injective Set.rangeSplitting_injective
theorem rightInverse_rangeSplitting {f : α → β} (h : Injective f) :
RightInverse (rangeFactorization f) (rangeSplitting f) :=
(leftInverse_rangeSplitting f).rightInverse_of_injective fun _ _ hxy =>
h <| Subtype.ext_iff.1 hxy
#align set.right_inverse_range_splitting Set.rightInverse_rangeSplitting
theorem preimage_rangeSplitting {f : α → β} (hf : Injective f) :
preimage (rangeSplitting f) = image (rangeFactorization f) :=
(image_eq_preimage_of_inverse (rightInverse_rangeSplitting hf)
(leftInverse_rangeSplitting f)).symm
#align set.preimage_range_splitting Set.preimage_rangeSplitting
theorem isCompl_range_some_none (α : Type*) : IsCompl (range (some : α → Option α)) {none} :=
IsCompl.of_le (fun _ ⟨⟨_, ha⟩, (hn : _ = none)⟩ => Option.some_ne_none _ (ha.trans hn))
fun x _ => Option.casesOn x (Or.inr rfl) fun _ => Or.inl <| mem_range_self _
#align set.is_compl_range_some_none Set.isCompl_range_some_none
@[simp]
theorem compl_range_some (α : Type*) : (range (some : α → Option α))ᶜ = {none} :=
(isCompl_range_some_none α).compl_eq
#align set.compl_range_some Set.compl_range_some
@[simp]
theorem range_some_inter_none (α : Type*) : range (some : α → Option α) ∩ {none} = ∅ :=
(isCompl_range_some_none α).inf_eq_bot
#align set.range_some_inter_none Set.range_some_inter_none
-- Porting note:
-- @[simp] `simp` can prove this
theorem range_some_union_none (α : Type*) : range (some : α → Option α) ∪ {none} = univ :=
(isCompl_range_some_none α).sup_eq_top
#align set.range_some_union_none Set.range_some_union_none
@[simp]
theorem insert_none_range_some (α : Type*) : insert none (range (some : α → Option α)) = univ :=
(isCompl_range_some_none α).symm.sup_eq_top
#align set.insert_none_range_some Set.insert_none_range_some
end Range
section Subsingleton
variable {s : Set α}
/-- The image of a subsingleton is a subsingleton. -/
theorem Subsingleton.image (hs : s.Subsingleton) (f : α → β) : (f '' s).Subsingleton :=
fun _ ⟨_, hx, Hx⟩ _ ⟨_, hy, Hy⟩ => Hx ▸ Hy ▸ congr_arg f (hs hx hy)
#align set.subsingleton.image Set.Subsingleton.image
/-- The preimage of a subsingleton under an injective map is a subsingleton. -/
theorem Subsingleton.preimage {s : Set β} (hs : s.Subsingleton) {f : α → β}
(hf : Function.Injective f) : (f ⁻¹' s).Subsingleton := fun _ ha _ hb => hf <| hs ha hb
#align set.subsingleton.preimage Set.Subsingleton.preimage
/-- If the image of a set under an injective map is a subsingleton, the set is a subsingleton. -/
theorem subsingleton_of_image {f : α → β} (hf : Function.Injective f) (s : Set α)
(hs : (f '' s).Subsingleton) : s.Subsingleton :=
(hs.preimage hf).anti <| subset_preimage_image _ _
#align set.subsingleton_of_image Set.subsingleton_of_image
/-- If the preimage of a set under a surjective map is a subsingleton,
the set is a subsingleton. -/
theorem subsingleton_of_preimage {f : α → β} (hf : Function.Surjective f) (s : Set β)
(hs : (f ⁻¹' s).Subsingleton) : s.Subsingleton := fun fx hx fy hy => by
rcases hf fx, hf fy with ⟨⟨x, rfl⟩, ⟨y, rfl⟩⟩
exact congr_arg f (hs hx hy)
#align set.subsingleton_of_preimage Set.subsingleton_of_preimage
theorem subsingleton_range {α : Sort*} [Subsingleton α] (f : α → β) : (range f).Subsingleton :=
forall_mem_range.2 fun x => forall_mem_range.2 fun y => congr_arg f (Subsingleton.elim x y)
#align set.subsingleton_range Set.subsingleton_range
/-- The preimage of a nontrivial set under a surjective map is nontrivial. -/
theorem Nontrivial.preimage {s : Set β} (hs : s.Nontrivial) {f : α → β}
(hf : Function.Surjective f) : (f ⁻¹' s).Nontrivial := by
rcases hs with ⟨fx, hx, fy, hy, hxy⟩
rcases hf fx, hf fy with ⟨⟨x, rfl⟩, ⟨y, rfl⟩⟩
exact ⟨x, hx, y, hy, mt (congr_arg f) hxy⟩
#align set.nontrivial.preimage Set.Nontrivial.preimage
/-- The image of a nontrivial set under an injective map is nontrivial. -/
theorem Nontrivial.image (hs : s.Nontrivial) {f : α → β} (hf : Function.Injective f) :
(f '' s).Nontrivial :=
let ⟨x, hx, y, hy, hxy⟩ := hs
⟨f x, mem_image_of_mem f hx, f y, mem_image_of_mem f hy, hf.ne hxy⟩
#align set.nontrivial.image Set.Nontrivial.image
/-- If the image of a set is nontrivial, the set is nontrivial. -/
theorem nontrivial_of_image (f : α → β) (s : Set α) (hs : (f '' s).Nontrivial) : s.Nontrivial :=
let ⟨_, ⟨x, hx, rfl⟩, _, ⟨y, hy, rfl⟩, hxy⟩ := hs
⟨x, hx, y, hy, mt (congr_arg f) hxy⟩
#align set.nontrivial_of_image Set.nontrivial_of_image
@[simp]
theorem image_nontrivial {f : α → β} (hf : f.Injective) : (f '' s).Nontrivial ↔ s.Nontrivial :=
⟨nontrivial_of_image f s, fun h ↦ h.image hf⟩
/-- If the preimage of a set under an injective map is nontrivial, the set is nontrivial. -/
theorem nontrivial_of_preimage {f : α → β} (hf : Function.Injective f) (s : Set β)
(hs : (f ⁻¹' s).Nontrivial) : s.Nontrivial :=
(hs.image hf).mono <| image_preimage_subset _ _
#align set.nontrivial_of_preimage Set.nontrivial_of_preimage
end Subsingleton
end Set
namespace Function
variable {α β : Type*} {ι : Sort*} {f : α → β}
open Set
theorem Surjective.preimage_injective (hf : Surjective f) : Injective (preimage f) := fun _ _ =>
(preimage_eq_preimage hf).1
#align function.surjective.preimage_injective Function.Surjective.preimage_injective
theorem Injective.preimage_image (hf : Injective f) (s : Set α) : f ⁻¹' (f '' s) = s :=
preimage_image_eq s hf
#align function.injective.preimage_image Function.Injective.preimage_image
theorem Injective.preimage_surjective (hf : Injective f) : Surjective (preimage f) := by
intro s
use f '' s
rw [hf.preimage_image]
#align function.injective.preimage_surjective Function.Injective.preimage_surjective
theorem Injective.subsingleton_image_iff (hf : Injective f) {s : Set α} :
(f '' s).Subsingleton ↔ s.Subsingleton :=
⟨subsingleton_of_image hf s, fun h => h.image f⟩
#align function.injective.subsingleton_image_iff Function.Injective.subsingleton_image_iff
theorem Surjective.image_preimage (hf : Surjective f) (s : Set β) : f '' (f ⁻¹' s) = s :=
image_preimage_eq s hf
#align function.surjective.image_preimage Function.Surjective.image_preimage
theorem Surjective.image_surjective (hf : Surjective f) : Surjective (image f) := by
intro s
use f ⁻¹' s
rw [hf.image_preimage]
#align function.surjective.image_surjective Function.Surjective.image_surjective
@[simp]
theorem Surjective.nonempty_preimage (hf : Surjective f) {s : Set β} :
(f ⁻¹' s).Nonempty ↔ s.Nonempty := by rw [← image_nonempty, hf.image_preimage]
#align function.surjective.nonempty_preimage Function.Surjective.nonempty_preimage
theorem Injective.image_injective (hf : Injective f) : Injective (image f) := by
intro s t h
rw [← preimage_image_eq s hf, ← preimage_image_eq t hf, h]
#align function.injective.image_injective Function.Injective.image_injective
theorem Surjective.preimage_subset_preimage_iff {s t : Set β} (hf : Surjective f) :
f ⁻¹' s ⊆ f ⁻¹' t ↔ s ⊆ t := by
apply Set.preimage_subset_preimage_iff
rw [hf.range_eq]
apply subset_univ
#align function.surjective.preimage_subset_preimage_iff Function.Surjective.preimage_subset_preimage_iff
theorem Surjective.range_comp {ι' : Sort*} {f : ι → ι'} (hf : Surjective f) (g : ι' → α) :
range (g ∘ f) = range g :=
ext fun y => (@Surjective.exists _ _ _ hf fun x => g x = y).symm
#align function.surjective.range_comp Function.Surjective.range_comp
theorem Injective.mem_range_iff_exists_unique (hf : Injective f) {b : β} :
b ∈ range f ↔ ∃! a, f a = b :=
⟨fun ⟨a, h⟩ => ⟨a, h, fun _ ha => hf (ha.trans h.symm)⟩, ExistsUnique.exists⟩
#align function.injective.mem_range_iff_exists_unique Function.Injective.mem_range_iff_exists_unique
theorem Injective.exists_unique_of_mem_range (hf : Injective f) {b : β} (hb : b ∈ range f) :
∃! a, f a = b :=
hf.mem_range_iff_exists_unique.mp hb
#align function.injective.exists_unique_of_mem_range Function.Injective.exists_unique_of_mem_range
theorem Injective.compl_image_eq (hf : Injective f) (s : Set α) :
(f '' s)ᶜ = f '' sᶜ ∪ (range f)ᶜ := by
ext y
rcases em (y ∈ range f) with (⟨x, rfl⟩ | hx)
· simp [hf.eq_iff]
· rw [mem_range, not_exists] at hx
simp [hx]
#align function.injective.compl_image_eq Function.Injective.compl_image_eq
theorem LeftInverse.image_image {g : β → α} (h : LeftInverse g f) (s : Set α) :
g '' (f '' s) = s := by rw [← image_comp, h.comp_eq_id, image_id]
#align function.left_inverse.image_image Function.LeftInverse.image_image
theorem LeftInverse.preimage_preimage {g : β → α} (h : LeftInverse g f) (s : Set α) :
f ⁻¹' (g ⁻¹' s) = s := by rw [← preimage_comp, h.comp_eq_id, preimage_id]
#align function.left_inverse.preimage_preimage Function.LeftInverse.preimage_preimage
protected theorem Involutive.preimage {f : α → α} (hf : Involutive f) : Involutive (preimage f) :=
hf.rightInverse.preimage_preimage
#align function.involutive.preimage Function.Involutive.preimage
end Function
namespace EquivLike
variable {ι ι' : Sort*} {E : Type*} [EquivLike E ι ι']
@[simp] lemma range_comp {α : Type*} (f : ι' → α) (e : E) : range (f ∘ e) = range f :=
(EquivLike.surjective _).range_comp _
#align equiv_like.range_comp EquivLike.range_comp
end EquivLike
/-! ### Image and preimage on subtypes -/
namespace Subtype
variable {α : Type*}
theorem coe_image {p : α → Prop} {s : Set (Subtype p)} :
(↑) '' s = { x | ∃ h : p x, (⟨x, h⟩ : Subtype p) ∈ s } :=
Set.ext fun a =>
⟨fun ⟨⟨_, ha'⟩, in_s, h_eq⟩ => h_eq ▸ ⟨ha', in_s⟩, fun ⟨ha, in_s⟩ => ⟨⟨a, ha⟩, in_s, rfl⟩⟩
#align subtype.coe_image Subtype.coe_image
@[simp]
theorem coe_image_of_subset {s t : Set α} (h : t ⊆ s) : (↑) '' { x : ↥s | ↑x ∈ t } = t := by
ext x
rw [mem_image]
exact ⟨fun ⟨_, hx', hx⟩ => hx ▸ hx', fun hx => ⟨⟨x, h hx⟩, hx, rfl⟩⟩
#align subtype.coe_image_of_subset Subtype.coe_image_of_subset
theorem range_coe {s : Set α} : range ((↑) : s → α) = s := by
rw [← image_univ]
simp [-image_univ, coe_image]
#align subtype.range_coe Subtype.range_coe
/-- A variant of `range_coe`. Try to use `range_coe` if possible.
This version is useful when defining a new type that is defined as the subtype of something.
In that case, the coercion doesn't fire anymore. -/
theorem range_val {s : Set α} : range (Subtype.val : s → α) = s :=
range_coe
#align subtype.range_val Subtype.range_val
/-- We make this the simp lemma instead of `range_coe`. The reason is that if we write
for `s : Set α` the function `(↑) : s → α`, then the inferred implicit arguments of `(↑)` are
`↑α (fun x ↦ x ∈ s)`. -/
@[simp]
theorem range_coe_subtype {p : α → Prop} : range ((↑) : Subtype p → α) = { x | p x } :=
range_coe
#align subtype.range_coe_subtype Subtype.range_coe_subtype
@[simp]
theorem coe_preimage_self (s : Set α) : ((↑) : s → α) ⁻¹' s = univ := by
rw [← preimage_range, range_coe]
#align subtype.coe_preimage_self Subtype.coe_preimage_self
theorem range_val_subtype {p : α → Prop} : range (Subtype.val : Subtype p → α) = { x | p x } :=
range_coe
#align subtype.range_val_subtype Subtype.range_val_subtype
theorem coe_image_subset (s : Set α) (t : Set s) : ((↑) : s → α) '' t ⊆ s :=
fun x ⟨y, _, yvaleq⟩ => by
rw [← yvaleq]; exact y.property
#align subtype.coe_image_subset Subtype.coe_image_subset
theorem coe_image_univ (s : Set α) : ((↑) : s → α) '' Set.univ = s :=
image_univ.trans range_coe
#align subtype.coe_image_univ Subtype.coe_image_univ
@[simp]
theorem image_preimage_coe (s t : Set α) : ((↑) : s → α) '' (((↑) : s → α) ⁻¹' t) = s ∩ t :=
image_preimage_eq_range_inter.trans <| congr_arg (· ∩ t) range_coe
#align subtype.image_preimage_coe Subtype.image_preimage_coe
theorem image_preimage_val (s t : Set α) : (Subtype.val : s → α) '' (Subtype.val ⁻¹' t) = s ∩ t :=
image_preimage_coe s t
#align subtype.image_preimage_val Subtype.image_preimage_val
theorem preimage_coe_eq_preimage_coe_iff {s t u : Set α} :
((↑) : s → α) ⁻¹' t = ((↑) : s → α) ⁻¹' u ↔ s ∩ t = s ∩ u := by
rw [← image_preimage_coe, ← image_preimage_coe, coe_injective.image_injective.eq_iff]
#align subtype.preimage_coe_eq_preimage_coe_iff Subtype.preimage_coe_eq_preimage_coe_iff
theorem preimage_coe_self_inter (s t : Set α) :
((↑) : s → α) ⁻¹' (s ∩ t) = ((↑) : s → α) ⁻¹' t := by
rw [preimage_coe_eq_preimage_coe_iff, ← inter_assoc, inter_self]
-- Porting note:
-- @[simp] `simp` can prove this
theorem preimage_coe_inter_self (s t : Set α) :
((↑) : s → α) ⁻¹' (t ∩ s) = ((↑) : s → α) ⁻¹' t := by
rw [inter_comm, preimage_coe_self_inter]
#align subtype.preimage_coe_inter_self Subtype.preimage_coe_inter_self
theorem preimage_val_eq_preimage_val_iff (s t u : Set α) :
(Subtype.val : s → α) ⁻¹' t = Subtype.val ⁻¹' u ↔ s ∩ t = s ∩ u :=
preimage_coe_eq_preimage_coe_iff
#align subtype.preimage_val_eq_preimage_val_iff Subtype.preimage_val_eq_preimage_val_iff
lemma preimage_val_subset_preimage_val_iff (s t u : Set α) :
(Subtype.val ⁻¹' t : Set s) ⊆ Subtype.val ⁻¹' u ↔ s ∩ t ⊆ s ∩ u := by
constructor
· rw [← image_preimage_coe, ← image_preimage_coe]
exact image_subset _
· intro h x a
exact (h ⟨x.2, a⟩).2
theorem exists_set_subtype {t : Set α} (p : Set α → Prop) :
(∃ s : Set t, p (((↑) : t → α) '' s)) ↔ ∃ s : Set α, s ⊆ t ∧ p s := by
rw [← exists_subset_range_and_iff, range_coe]
#align subtype.exists_set_subtype Subtype.exists_set_subtype
theorem forall_set_subtype {t : Set α} (p : Set α → Prop) :
(∀ s : Set t, p (((↑) : t → α) '' s)) ↔ ∀ s : Set α, s ⊆ t → p s := by
rw [← forall_subset_range_iff, range_coe]
theorem preimage_coe_nonempty {s t : Set α} :
(((↑) : s → α) ⁻¹' t).Nonempty ↔ (s ∩ t).Nonempty := by
rw [← image_preimage_coe, image_nonempty]
#align subtype.preimage_coe_nonempty Subtype.preimage_coe_nonempty
theorem preimage_coe_eq_empty {s t : Set α} : ((↑) : s → α) ⁻¹' t = ∅ ↔ s ∩ t = ∅ := by
simp [← not_nonempty_iff_eq_empty, preimage_coe_nonempty]
#align subtype.preimage_coe_eq_empty Subtype.preimage_coe_eq_empty
-- Porting note:
-- @[simp] `simp` can prove this
theorem preimage_coe_compl (s : Set α) : ((↑) : s → α) ⁻¹' sᶜ = ∅ :=
preimage_coe_eq_empty.2 (inter_compl_self s)
#align subtype.preimage_coe_compl Subtype.preimage_coe_compl
@[simp]
theorem preimage_coe_compl' (s : Set α) :
(fun x : (sᶜ : Set α) => (x : α)) ⁻¹' s = ∅ :=
preimage_coe_eq_empty.2 (compl_inter_self s)
#align subtype.preimage_coe_compl' Subtype.preimage_coe_compl'
end Subtype
/-! ### Images and preimages on `Option` -/
open Set
namespace Option
theorem injective_iff {α β} {f : Option α → β} :
Injective f ↔ Injective (f ∘ some) ∧ f none ∉ range (f ∘ some) := by
simp only [mem_range, not_exists, (· ∘ ·)]
refine
⟨fun hf => ⟨hf.comp (Option.some_injective _), fun x => hf.ne <| Option.some_ne_none _⟩, ?_⟩
rintro ⟨h_some, h_none⟩ (_ | a) (_ | b) hab
exacts [rfl, (h_none _ hab.symm).elim, (h_none _ hab).elim, congr_arg some (h_some hab)]
#align option.injective_iff Option.injective_iff
theorem range_eq {α β} (f : Option α → β) : range f = insert (f none) (range (f ∘ some)) :=
Set.ext fun _ => Option.exists.trans <| eq_comm.or Iff.rfl
#align option.range_eq Option.range_eq
end Option
theorem WithBot.range_eq {α β} (f : WithBot α → β) :
range f = insert (f ⊥) (range (f ∘ WithBot.some : α → β)) :=
Option.range_eq f
#align with_bot.range_eq WithBot.range_eq
theorem WithTop.range_eq {α β} (f : WithTop α → β) :
range f = insert (f ⊤) (range (f ∘ WithBot.some : α → β)) :=
Option.range_eq f
#align with_top.range_eq WithTop.range_eq
namespace Set
open Function
/-! ### Injectivity and surjectivity lemmas for image and preimage -/
section ImagePreimage
variable {α : Type u} {β : Type v} {f : α → β}
@[simp]
theorem preimage_injective : Injective (preimage f) ↔ Surjective f := by
refine ⟨fun h y => ?_, Surjective.preimage_injective⟩
obtain ⟨x, hx⟩ : (f ⁻¹' {y}).Nonempty := by
rw [h.nonempty_apply_iff preimage_empty]
apply singleton_nonempty
exact ⟨x, hx⟩
#align set.preimage_injective Set.preimage_injective
@[simp]
theorem preimage_surjective : Surjective (preimage f) ↔ Injective f := by
refine ⟨fun h x x' hx => ?_, Injective.preimage_surjective⟩
cases' h {x} with s hs; have := mem_singleton x
rwa [← hs, mem_preimage, hx, ← mem_preimage, hs, mem_singleton_iff, eq_comm] at this
#align set.preimage_surjective Set.preimage_surjective
@[simp]
theorem image_surjective : Surjective (image f) ↔ Surjective f := by
refine ⟨fun h y => ?_, Surjective.image_surjective⟩
cases' h {y} with s hs
have := mem_singleton y; rw [← hs] at this; rcases this with ⟨x, _, hx⟩
exact ⟨x, hx⟩
#align set.image_surjective Set.image_surjective
@[simp]
theorem image_injective : Injective (image f) ↔ Injective f := by
refine ⟨fun h x x' hx => ?_, Injective.image_injective⟩
rw [← singleton_eq_singleton_iff]; apply h
rw [image_singleton, image_singleton, hx]
#align set.image_injective Set.image_injective
theorem preimage_eq_iff_eq_image {f : α → β} (hf : Bijective f) {s t} :
f ⁻¹' s = t ↔ s = f '' t := by rw [← image_eq_image hf.1, hf.2.image_preimage]
#align set.preimage_eq_iff_eq_image Set.preimage_eq_iff_eq_image
theorem eq_preimage_iff_image_eq {f : α → β} (hf : Bijective f) {s t} :
s = f ⁻¹' t ↔ f '' s = t := by rw [← image_eq_image hf.1, hf.2.image_preimage]
#align set.eq_preimage_iff_image_eq Set.eq_preimage_iff_image_eq
end ImagePreimage
end Set
/-! ### Disjoint lemmas for image and preimage -/
section Disjoint
variable {α β γ : Type*} {f : α → β} {s t : Set α}
theorem Disjoint.preimage (f : α → β) {s t : Set β} (h : Disjoint s t) :
Disjoint (f ⁻¹' s) (f ⁻¹' t) :=
disjoint_iff_inf_le.mpr fun _ hx => h.le_bot hx
#align disjoint.preimage Disjoint.preimage
lemma Codisjoint.preimage (f : α → β) {s t : Set β} (h : Codisjoint s t) :
Codisjoint (f ⁻¹' s) (f ⁻¹' t) := by
simp only [codisjoint_iff_le_sup, Set.sup_eq_union, top_le_iff, ← Set.preimage_union] at h ⊢
rw [h]; rfl
lemma IsCompl.preimage (f : α → β) {s t : Set β} (h : IsCompl s t) :
IsCompl (f ⁻¹' s) (f ⁻¹' t) :=
⟨h.1.preimage f, h.2.preimage f⟩
namespace Set
theorem disjoint_image_image {f : β → α} {g : γ → α} {s : Set β} {t : Set γ}
(h : ∀ b ∈ s, ∀ c ∈ t, f b ≠ g c) : Disjoint (f '' s) (g '' t) :=
disjoint_iff_inf_le.mpr <| by rintro a ⟨⟨b, hb, eq⟩, c, hc, rfl⟩; exact h b hb c hc eq
#align set.disjoint_image_image Set.disjoint_image_image
theorem disjoint_image_of_injective (hf : Injective f) {s t : Set α} (hd : Disjoint s t) :
Disjoint (f '' s) (f '' t) :=
disjoint_image_image fun _ hx _ hy => hf.ne fun H => Set.disjoint_iff.1 hd ⟨hx, H.symm ▸ hy⟩
#align set.disjoint_image_of_injective Set.disjoint_image_of_injective
theorem _root_.Disjoint.of_image (h : Disjoint (f '' s) (f '' t)) : Disjoint s t :=
disjoint_iff_inf_le.mpr fun _ hx =>
disjoint_left.1 h (mem_image_of_mem _ hx.1) (mem_image_of_mem _ hx.2)
#align disjoint.of_image Disjoint.of_image
@[simp]
theorem disjoint_image_iff (hf : Injective f) : Disjoint (f '' s) (f '' t) ↔ Disjoint s t :=
⟨Disjoint.of_image, disjoint_image_of_injective hf⟩
#align set.disjoint_image_iff Set.disjoint_image_iff
| Mathlib/Data/Set/Image.lean | 1,610 | 1,613 | theorem _root_.Disjoint.of_preimage (hf : Surjective f) {s t : Set β}
(h : Disjoint (f ⁻¹' s) (f ⁻¹' t)) : Disjoint s t := by |
rw [disjoint_iff_inter_eq_empty, ← image_preimage_eq (_ ∩ _) hf, preimage_inter, h.inter_eq,
image_empty]
|
/-
Copyright (c) 2022 Yaël Dillies, Sara Rousta. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yaël Dillies, Sara Rousta
-/
import Mathlib.Data.SetLike.Basic
import Mathlib.Order.Interval.Set.OrdConnected
import Mathlib.Order.Interval.Set.OrderIso
import Mathlib.Data.Set.Lattice
#align_import order.upper_lower.basic from "leanprover-community/mathlib"@"c0c52abb75074ed8b73a948341f50521fbf43b4c"
/-!
# Up-sets and down-sets
This file defines upper and lower sets in an order.
## Main declarations
* `IsUpperSet`: Predicate for a set to be an upper set. This means every element greater than a
member of the set is in the set itself.
* `IsLowerSet`: Predicate for a set to be a lower set. This means every element less than a member
of the set is in the set itself.
* `UpperSet`: The type of upper sets.
* `LowerSet`: The type of lower sets.
* `upperClosure`: The greatest upper set containing a set.
* `lowerClosure`: The least lower set containing a set.
* `UpperSet.Ici`: Principal upper set. `Set.Ici` as an upper set.
* `UpperSet.Ioi`: Strict principal upper set. `Set.Ioi` as an upper set.
* `LowerSet.Iic`: Principal lower set. `Set.Iic` as a lower set.
* `LowerSet.Iio`: Strict principal lower set. `Set.Iio` as a lower set.
## Notation
* `×ˢ` is notation for `UpperSet.prod` / `LowerSet.prod`.
## Notes
Upper sets are ordered by **reverse** inclusion. This convention is motivated by the fact that this
makes them order-isomorphic to lower sets and antichains, and matches the convention on `Filter`.
## TODO
Lattice structure on antichains. Order equivalence between upper/lower sets and antichains.
-/
open Function OrderDual Set
variable {α β γ : Type*} {ι : Sort*} {κ : ι → Sort*}
/-! ### Unbundled upper/lower sets -/
section LE
variable [LE α] [LE β] {s t : Set α} {a : α}
/-- An upper set in an order `α` is a set such that any element greater than one of its members is
also a member. Also called up-set, upward-closed set. -/
@[aesop norm unfold]
def IsUpperSet (s : Set α) : Prop :=
∀ ⦃a b : α⦄, a ≤ b → a ∈ s → b ∈ s
#align is_upper_set IsUpperSet
/-- A lower set in an order `α` is a set such that any element less than one of its members is also
a member. Also called down-set, downward-closed set. -/
@[aesop norm unfold]
def IsLowerSet (s : Set α) : Prop :=
∀ ⦃a b : α⦄, b ≤ a → a ∈ s → b ∈ s
#align is_lower_set IsLowerSet
theorem isUpperSet_empty : IsUpperSet (∅ : Set α) := fun _ _ _ => id
#align is_upper_set_empty isUpperSet_empty
theorem isLowerSet_empty : IsLowerSet (∅ : Set α) := fun _ _ _ => id
#align is_lower_set_empty isLowerSet_empty
theorem isUpperSet_univ : IsUpperSet (univ : Set α) := fun _ _ _ => id
#align is_upper_set_univ isUpperSet_univ
theorem isLowerSet_univ : IsLowerSet (univ : Set α) := fun _ _ _ => id
#align is_lower_set_univ isLowerSet_univ
theorem IsUpperSet.compl (hs : IsUpperSet s) : IsLowerSet sᶜ := fun _a _b h hb ha => hb <| hs h ha
#align is_upper_set.compl IsUpperSet.compl
theorem IsLowerSet.compl (hs : IsLowerSet s) : IsUpperSet sᶜ := fun _a _b h hb ha => hb <| hs h ha
#align is_lower_set.compl IsLowerSet.compl
@[simp]
theorem isUpperSet_compl : IsUpperSet sᶜ ↔ IsLowerSet s :=
⟨fun h => by
convert h.compl
rw [compl_compl], IsLowerSet.compl⟩
#align is_upper_set_compl isUpperSet_compl
@[simp]
theorem isLowerSet_compl : IsLowerSet sᶜ ↔ IsUpperSet s :=
⟨fun h => by
convert h.compl
rw [compl_compl], IsUpperSet.compl⟩
#align is_lower_set_compl isLowerSet_compl
theorem IsUpperSet.union (hs : IsUpperSet s) (ht : IsUpperSet t) : IsUpperSet (s ∪ t) :=
fun _ _ h => Or.imp (hs h) (ht h)
#align is_upper_set.union IsUpperSet.union
theorem IsLowerSet.union (hs : IsLowerSet s) (ht : IsLowerSet t) : IsLowerSet (s ∪ t) :=
fun _ _ h => Or.imp (hs h) (ht h)
#align is_lower_set.union IsLowerSet.union
theorem IsUpperSet.inter (hs : IsUpperSet s) (ht : IsUpperSet t) : IsUpperSet (s ∩ t) :=
fun _ _ h => And.imp (hs h) (ht h)
#align is_upper_set.inter IsUpperSet.inter
theorem IsLowerSet.inter (hs : IsLowerSet s) (ht : IsLowerSet t) : IsLowerSet (s ∩ t) :=
fun _ _ h => And.imp (hs h) (ht h)
#align is_lower_set.inter IsLowerSet.inter
theorem isUpperSet_sUnion {S : Set (Set α)} (hf : ∀ s ∈ S, IsUpperSet s) : IsUpperSet (⋃₀ S) :=
fun _ _ h => Exists.imp fun _ hs => ⟨hs.1, hf _ hs.1 h hs.2⟩
#align is_upper_set_sUnion isUpperSet_sUnion
theorem isLowerSet_sUnion {S : Set (Set α)} (hf : ∀ s ∈ S, IsLowerSet s) : IsLowerSet (⋃₀ S) :=
fun _ _ h => Exists.imp fun _ hs => ⟨hs.1, hf _ hs.1 h hs.2⟩
#align is_lower_set_sUnion isLowerSet_sUnion
theorem isUpperSet_iUnion {f : ι → Set α} (hf : ∀ i, IsUpperSet (f i)) : IsUpperSet (⋃ i, f i) :=
isUpperSet_sUnion <| forall_mem_range.2 hf
#align is_upper_set_Union isUpperSet_iUnion
theorem isLowerSet_iUnion {f : ι → Set α} (hf : ∀ i, IsLowerSet (f i)) : IsLowerSet (⋃ i, f i) :=
isLowerSet_sUnion <| forall_mem_range.2 hf
#align is_lower_set_Union isLowerSet_iUnion
theorem isUpperSet_iUnion₂ {f : ∀ i, κ i → Set α} (hf : ∀ i j, IsUpperSet (f i j)) :
IsUpperSet (⋃ (i) (j), f i j) :=
isUpperSet_iUnion fun i => isUpperSet_iUnion <| hf i
#align is_upper_set_Union₂ isUpperSet_iUnion₂
theorem isLowerSet_iUnion₂ {f : ∀ i, κ i → Set α} (hf : ∀ i j, IsLowerSet (f i j)) :
IsLowerSet (⋃ (i) (j), f i j) :=
isLowerSet_iUnion fun i => isLowerSet_iUnion <| hf i
#align is_lower_set_Union₂ isLowerSet_iUnion₂
theorem isUpperSet_sInter {S : Set (Set α)} (hf : ∀ s ∈ S, IsUpperSet s) : IsUpperSet (⋂₀ S) :=
fun _ _ h => forall₂_imp fun s hs => hf s hs h
#align is_upper_set_sInter isUpperSet_sInter
theorem isLowerSet_sInter {S : Set (Set α)} (hf : ∀ s ∈ S, IsLowerSet s) : IsLowerSet (⋂₀ S) :=
fun _ _ h => forall₂_imp fun s hs => hf s hs h
#align is_lower_set_sInter isLowerSet_sInter
theorem isUpperSet_iInter {f : ι → Set α} (hf : ∀ i, IsUpperSet (f i)) : IsUpperSet (⋂ i, f i) :=
isUpperSet_sInter <| forall_mem_range.2 hf
#align is_upper_set_Inter isUpperSet_iInter
theorem isLowerSet_iInter {f : ι → Set α} (hf : ∀ i, IsLowerSet (f i)) : IsLowerSet (⋂ i, f i) :=
isLowerSet_sInter <| forall_mem_range.2 hf
#align is_lower_set_Inter isLowerSet_iInter
theorem isUpperSet_iInter₂ {f : ∀ i, κ i → Set α} (hf : ∀ i j, IsUpperSet (f i j)) :
IsUpperSet (⋂ (i) (j), f i j) :=
isUpperSet_iInter fun i => isUpperSet_iInter <| hf i
#align is_upper_set_Inter₂ isUpperSet_iInter₂
theorem isLowerSet_iInter₂ {f : ∀ i, κ i → Set α} (hf : ∀ i j, IsLowerSet (f i j)) :
IsLowerSet (⋂ (i) (j), f i j) :=
isLowerSet_iInter fun i => isLowerSet_iInter <| hf i
#align is_lower_set_Inter₂ isLowerSet_iInter₂
@[simp]
theorem isLowerSet_preimage_ofDual_iff : IsLowerSet (ofDual ⁻¹' s) ↔ IsUpperSet s :=
Iff.rfl
#align is_lower_set_preimage_of_dual_iff isLowerSet_preimage_ofDual_iff
@[simp]
theorem isUpperSet_preimage_ofDual_iff : IsUpperSet (ofDual ⁻¹' s) ↔ IsLowerSet s :=
Iff.rfl
#align is_upper_set_preimage_of_dual_iff isUpperSet_preimage_ofDual_iff
@[simp]
theorem isLowerSet_preimage_toDual_iff {s : Set αᵒᵈ} : IsLowerSet (toDual ⁻¹' s) ↔ IsUpperSet s :=
Iff.rfl
#align is_lower_set_preimage_to_dual_iff isLowerSet_preimage_toDual_iff
@[simp]
theorem isUpperSet_preimage_toDual_iff {s : Set αᵒᵈ} : IsUpperSet (toDual ⁻¹' s) ↔ IsLowerSet s :=
Iff.rfl
#align is_upper_set_preimage_to_dual_iff isUpperSet_preimage_toDual_iff
alias ⟨_, IsUpperSet.toDual⟩ := isLowerSet_preimage_ofDual_iff
#align is_upper_set.to_dual IsUpperSet.toDual
alias ⟨_, IsLowerSet.toDual⟩ := isUpperSet_preimage_ofDual_iff
#align is_lower_set.to_dual IsLowerSet.toDual
alias ⟨_, IsUpperSet.ofDual⟩ := isLowerSet_preimage_toDual_iff
#align is_upper_set.of_dual IsUpperSet.ofDual
alias ⟨_, IsLowerSet.ofDual⟩ := isUpperSet_preimage_toDual_iff
#align is_lower_set.of_dual IsLowerSet.ofDual
lemma IsUpperSet.isLowerSet_preimage_coe (hs : IsUpperSet s) :
IsLowerSet ((↑) ⁻¹' t : Set s) ↔ ∀ b ∈ s, ∀ c ∈ t, b ≤ c → b ∈ t := by aesop
lemma IsLowerSet.isUpperSet_preimage_coe (hs : IsLowerSet s) :
IsUpperSet ((↑) ⁻¹' t : Set s) ↔ ∀ b ∈ s, ∀ c ∈ t, c ≤ b → b ∈ t := by aesop
lemma IsUpperSet.sdiff (hs : IsUpperSet s) (ht : ∀ b ∈ s, ∀ c ∈ t, b ≤ c → b ∈ t) :
IsUpperSet (s \ t) :=
fun _b _c hbc hb ↦ ⟨hs hbc hb.1, fun hc ↦ hb.2 <| ht _ hb.1 _ hc hbc⟩
lemma IsLowerSet.sdiff (hs : IsLowerSet s) (ht : ∀ b ∈ s, ∀ c ∈ t, c ≤ b → b ∈ t) :
IsLowerSet (s \ t) :=
fun _b _c hcb hb ↦ ⟨hs hcb hb.1, fun hc ↦ hb.2 <| ht _ hb.1 _ hc hcb⟩
lemma IsUpperSet.sdiff_of_isLowerSet (hs : IsUpperSet s) (ht : IsLowerSet t) : IsUpperSet (s \ t) :=
hs.sdiff <| by aesop
lemma IsLowerSet.sdiff_of_isUpperSet (hs : IsLowerSet s) (ht : IsUpperSet t) : IsLowerSet (s \ t) :=
hs.sdiff <| by aesop
lemma IsUpperSet.erase (hs : IsUpperSet s) (has : ∀ b ∈ s, b ≤ a → b = a) : IsUpperSet (s \ {a}) :=
hs.sdiff <| by simpa using has
lemma IsLowerSet.erase (hs : IsLowerSet s) (has : ∀ b ∈ s, a ≤ b → b = a) : IsLowerSet (s \ {a}) :=
hs.sdiff <| by simpa using has
end LE
section Preorder
variable [Preorder α] [Preorder β] {s : Set α} {p : α → Prop} (a : α)
theorem isUpperSet_Ici : IsUpperSet (Ici a) := fun _ _ => ge_trans
#align is_upper_set_Ici isUpperSet_Ici
theorem isLowerSet_Iic : IsLowerSet (Iic a) := fun _ _ => le_trans
#align is_lower_set_Iic isLowerSet_Iic
theorem isUpperSet_Ioi : IsUpperSet (Ioi a) := fun _ _ => flip lt_of_lt_of_le
#align is_upper_set_Ioi isUpperSet_Ioi
theorem isLowerSet_Iio : IsLowerSet (Iio a) := fun _ _ => lt_of_le_of_lt
#align is_lower_set_Iio isLowerSet_Iio
theorem isUpperSet_iff_Ici_subset : IsUpperSet s ↔ ∀ ⦃a⦄, a ∈ s → Ici a ⊆ s := by
simp [IsUpperSet, subset_def, @forall_swap (_ ∈ s)]
#align is_upper_set_iff_Ici_subset isUpperSet_iff_Ici_subset
theorem isLowerSet_iff_Iic_subset : IsLowerSet s ↔ ∀ ⦃a⦄, a ∈ s → Iic a ⊆ s := by
simp [IsLowerSet, subset_def, @forall_swap (_ ∈ s)]
#align is_lower_set_iff_Iic_subset isLowerSet_iff_Iic_subset
alias ⟨IsUpperSet.Ici_subset, _⟩ := isUpperSet_iff_Ici_subset
#align is_upper_set.Ici_subset IsUpperSet.Ici_subset
alias ⟨IsLowerSet.Iic_subset, _⟩ := isLowerSet_iff_Iic_subset
#align is_lower_set.Iic_subset IsLowerSet.Iic_subset
theorem IsUpperSet.Ioi_subset (h : IsUpperSet s) ⦃a⦄ (ha : a ∈ s) : Ioi a ⊆ s :=
Ioi_subset_Ici_self.trans <| h.Ici_subset ha
#align is_upper_set.Ioi_subset IsUpperSet.Ioi_subset
theorem IsLowerSet.Iio_subset (h : IsLowerSet s) ⦃a⦄ (ha : a ∈ s) : Iio a ⊆ s :=
h.toDual.Ioi_subset ha
#align is_lower_set.Iio_subset IsLowerSet.Iio_subset
theorem IsUpperSet.ordConnected (h : IsUpperSet s) : s.OrdConnected :=
⟨fun _ ha _ _ => Icc_subset_Ici_self.trans <| h.Ici_subset ha⟩
#align is_upper_set.ord_connected IsUpperSet.ordConnected
theorem IsLowerSet.ordConnected (h : IsLowerSet s) : s.OrdConnected :=
⟨fun _ _ _ hb => Icc_subset_Iic_self.trans <| h.Iic_subset hb⟩
#align is_lower_set.ord_connected IsLowerSet.ordConnected
theorem IsUpperSet.preimage (hs : IsUpperSet s) {f : β → α} (hf : Monotone f) :
IsUpperSet (f ⁻¹' s : Set β) := fun _ _ h => hs <| hf h
#align is_upper_set.preimage IsUpperSet.preimage
theorem IsLowerSet.preimage (hs : IsLowerSet s) {f : β → α} (hf : Monotone f) :
IsLowerSet (f ⁻¹' s : Set β) := fun _ _ h => hs <| hf h
#align is_lower_set.preimage IsLowerSet.preimage
theorem IsUpperSet.image (hs : IsUpperSet s) (f : α ≃o β) : IsUpperSet (f '' s : Set β) := by
change IsUpperSet ((f : α ≃ β) '' s)
rw [Set.image_equiv_eq_preimage_symm]
exact hs.preimage f.symm.monotone
#align is_upper_set.image IsUpperSet.image
theorem IsLowerSet.image (hs : IsLowerSet s) (f : α ≃o β) : IsLowerSet (f '' s : Set β) := by
change IsLowerSet ((f : α ≃ β) '' s)
rw [Set.image_equiv_eq_preimage_symm]
exact hs.preimage f.symm.monotone
#align is_lower_set.image IsLowerSet.image
theorem OrderEmbedding.image_Ici (e : α ↪o β) (he : IsUpperSet (range e)) (a : α) :
e '' Ici a = Ici (e a) := by
rw [← e.preimage_Ici, image_preimage_eq_inter_range,
inter_eq_left.2 <| he.Ici_subset (mem_range_self _)]
theorem OrderEmbedding.image_Iic (e : α ↪o β) (he : IsLowerSet (range e)) (a : α) :
e '' Iic a = Iic (e a) :=
e.dual.image_Ici he a
theorem OrderEmbedding.image_Ioi (e : α ↪o β) (he : IsUpperSet (range e)) (a : α) :
e '' Ioi a = Ioi (e a) := by
rw [← e.preimage_Ioi, image_preimage_eq_inter_range,
inter_eq_left.2 <| he.Ioi_subset (mem_range_self _)]
theorem OrderEmbedding.image_Iio (e : α ↪o β) (he : IsLowerSet (range e)) (a : α) :
e '' Iio a = Iio (e a) :=
e.dual.image_Ioi he a
@[simp]
theorem Set.monotone_mem : Monotone (· ∈ s) ↔ IsUpperSet s :=
Iff.rfl
#align set.monotone_mem Set.monotone_mem
@[simp]
theorem Set.antitone_mem : Antitone (· ∈ s) ↔ IsLowerSet s :=
forall_swap
#align set.antitone_mem Set.antitone_mem
@[simp]
theorem isUpperSet_setOf : IsUpperSet { a | p a } ↔ Monotone p :=
Iff.rfl
#align is_upper_set_set_of isUpperSet_setOf
@[simp]
theorem isLowerSet_setOf : IsLowerSet { a | p a } ↔ Antitone p :=
forall_swap
#align is_lower_set_set_of isLowerSet_setOf
lemma IsUpperSet.upperBounds_subset (hs : IsUpperSet s) : s.Nonempty → upperBounds s ⊆ s :=
fun ⟨_a, ha⟩ _b hb ↦ hs (hb ha) ha
lemma IsLowerSet.lowerBounds_subset (hs : IsLowerSet s) : s.Nonempty → lowerBounds s ⊆ s :=
fun ⟨_a, ha⟩ _b hb ↦ hs (hb ha) ha
section OrderTop
variable [OrderTop α]
theorem IsLowerSet.top_mem (hs : IsLowerSet s) : ⊤ ∈ s ↔ s = univ :=
⟨fun h => eq_univ_of_forall fun _ => hs le_top h, fun h => h.symm ▸ mem_univ _⟩
#align is_lower_set.top_mem IsLowerSet.top_mem
theorem IsUpperSet.top_mem (hs : IsUpperSet s) : ⊤ ∈ s ↔ s.Nonempty :=
⟨fun h => ⟨_, h⟩, fun ⟨_a, ha⟩ => hs le_top ha⟩
#align is_upper_set.top_mem IsUpperSet.top_mem
theorem IsUpperSet.not_top_mem (hs : IsUpperSet s) : ⊤ ∉ s ↔ s = ∅ :=
hs.top_mem.not.trans not_nonempty_iff_eq_empty
#align is_upper_set.not_top_mem IsUpperSet.not_top_mem
end OrderTop
section OrderBot
variable [OrderBot α]
theorem IsUpperSet.bot_mem (hs : IsUpperSet s) : ⊥ ∈ s ↔ s = univ :=
⟨fun h => eq_univ_of_forall fun _ => hs bot_le h, fun h => h.symm ▸ mem_univ _⟩
#align is_upper_set.bot_mem IsUpperSet.bot_mem
theorem IsLowerSet.bot_mem (hs : IsLowerSet s) : ⊥ ∈ s ↔ s.Nonempty :=
⟨fun h => ⟨_, h⟩, fun ⟨_a, ha⟩ => hs bot_le ha⟩
#align is_lower_set.bot_mem IsLowerSet.bot_mem
theorem IsLowerSet.not_bot_mem (hs : IsLowerSet s) : ⊥ ∉ s ↔ s = ∅ :=
hs.bot_mem.not.trans not_nonempty_iff_eq_empty
#align is_lower_set.not_bot_mem IsLowerSet.not_bot_mem
end OrderBot
section NoMaxOrder
variable [NoMaxOrder α]
theorem IsUpperSet.not_bddAbove (hs : IsUpperSet s) : s.Nonempty → ¬BddAbove s := by
rintro ⟨a, ha⟩ ⟨b, hb⟩
obtain ⟨c, hc⟩ := exists_gt b
exact hc.not_le (hb <| hs ((hb ha).trans hc.le) ha)
#align is_upper_set.not_bdd_above IsUpperSet.not_bddAbove
theorem not_bddAbove_Ici : ¬BddAbove (Ici a) :=
(isUpperSet_Ici _).not_bddAbove nonempty_Ici
#align not_bdd_above_Ici not_bddAbove_Ici
theorem not_bddAbove_Ioi : ¬BddAbove (Ioi a) :=
(isUpperSet_Ioi _).not_bddAbove nonempty_Ioi
#align not_bdd_above_Ioi not_bddAbove_Ioi
end NoMaxOrder
section NoMinOrder
variable [NoMinOrder α]
theorem IsLowerSet.not_bddBelow (hs : IsLowerSet s) : s.Nonempty → ¬BddBelow s := by
rintro ⟨a, ha⟩ ⟨b, hb⟩
obtain ⟨c, hc⟩ := exists_lt b
exact hc.not_le (hb <| hs (hc.le.trans <| hb ha) ha)
#align is_lower_set.not_bdd_below IsLowerSet.not_bddBelow
theorem not_bddBelow_Iic : ¬BddBelow (Iic a) :=
(isLowerSet_Iic _).not_bddBelow nonempty_Iic
#align not_bdd_below_Iic not_bddBelow_Iic
theorem not_bddBelow_Iio : ¬BddBelow (Iio a) :=
(isLowerSet_Iio _).not_bddBelow nonempty_Iio
#align not_bdd_below_Iio not_bddBelow_Iio
end NoMinOrder
end Preorder
section PartialOrder
variable [PartialOrder α] {s : Set α}
theorem isUpperSet_iff_forall_lt : IsUpperSet s ↔ ∀ ⦃a b : α⦄, a < b → a ∈ s → b ∈ s :=
forall_congr' fun a => by simp [le_iff_eq_or_lt, or_imp, forall_and]
#align is_upper_set_iff_forall_lt isUpperSet_iff_forall_lt
theorem isLowerSet_iff_forall_lt : IsLowerSet s ↔ ∀ ⦃a b : α⦄, b < a → a ∈ s → b ∈ s :=
forall_congr' fun a => by simp [le_iff_eq_or_lt, or_imp, forall_and]
#align is_lower_set_iff_forall_lt isLowerSet_iff_forall_lt
theorem isUpperSet_iff_Ioi_subset : IsUpperSet s ↔ ∀ ⦃a⦄, a ∈ s → Ioi a ⊆ s := by
simp [isUpperSet_iff_forall_lt, subset_def, @forall_swap (_ ∈ s)]
#align is_upper_set_iff_Ioi_subset isUpperSet_iff_Ioi_subset
theorem isLowerSet_iff_Iio_subset : IsLowerSet s ↔ ∀ ⦃a⦄, a ∈ s → Iio a ⊆ s := by
simp [isLowerSet_iff_forall_lt, subset_def, @forall_swap (_ ∈ s)]
#align is_lower_set_iff_Iio_subset isLowerSet_iff_Iio_subset
end PartialOrder
section LinearOrder
variable [LinearOrder α] {s t : Set α}
theorem IsUpperSet.total (hs : IsUpperSet s) (ht : IsUpperSet t) : s ⊆ t ∨ t ⊆ s := by
by_contra! h
simp_rw [Set.not_subset] at h
obtain ⟨⟨a, has, hat⟩, b, hbt, hbs⟩ := h
obtain hab | hba := le_total a b
· exact hbs (hs hab has)
· exact hat (ht hba hbt)
#align is_upper_set.total IsUpperSet.total
theorem IsLowerSet.total (hs : IsLowerSet s) (ht : IsLowerSet t) : s ⊆ t ∨ t ⊆ s :=
hs.toDual.total ht.toDual
#align is_lower_set.total IsLowerSet.total
end LinearOrder
/-! ### Bundled upper/lower sets -/
section LE
variable [LE α]
/-- The type of upper sets of an order. -/
structure UpperSet (α : Type*) [LE α] where
/-- The carrier of an `UpperSet`. -/
carrier : Set α
/-- The carrier of an `UpperSet` is an upper set. -/
upper' : IsUpperSet carrier
#align upper_set UpperSet
/-- The type of lower sets of an order. -/
structure LowerSet (α : Type*) [LE α] where
/-- The carrier of a `LowerSet`. -/
carrier : Set α
/-- The carrier of a `LowerSet` is a lower set. -/
lower' : IsLowerSet carrier
#align lower_set LowerSet
namespace UpperSet
instance : SetLike (UpperSet α) α where
coe := UpperSet.carrier
coe_injective' s t h := by cases s; cases t; congr
/-- See Note [custom simps projection]. -/
def Simps.coe (s : UpperSet α) : Set α := s
initialize_simps_projections UpperSet (carrier → coe)
@[ext]
theorem ext {s t : UpperSet α} : (s : Set α) = t → s = t :=
SetLike.ext'
#align upper_set.ext UpperSet.ext
@[simp]
theorem carrier_eq_coe (s : UpperSet α) : s.carrier = s :=
rfl
#align upper_set.carrier_eq_coe UpperSet.carrier_eq_coe
@[simp] protected lemma upper (s : UpperSet α) : IsUpperSet (s : Set α) := s.upper'
#align upper_set.upper UpperSet.upper
@[simp, norm_cast] lemma coe_mk (s : Set α) (hs) : mk s hs = s := rfl
@[simp] lemma mem_mk {s : Set α} (hs) {a : α} : a ∈ mk s hs ↔ a ∈ s := Iff.rfl
#align upper_set.mem_mk UpperSet.mem_mk
end UpperSet
namespace LowerSet
instance : SetLike (LowerSet α) α where
coe := LowerSet.carrier
coe_injective' s t h := by cases s; cases t; congr
/-- See Note [custom simps projection]. -/
def Simps.coe (s : LowerSet α) : Set α := s
initialize_simps_projections LowerSet (carrier → coe)
@[ext]
theorem ext {s t : LowerSet α} : (s : Set α) = t → s = t :=
SetLike.ext'
#align lower_set.ext LowerSet.ext
@[simp]
theorem carrier_eq_coe (s : LowerSet α) : s.carrier = s :=
rfl
#align lower_set.carrier_eq_coe LowerSet.carrier_eq_coe
@[simp] protected lemma lower (s : LowerSet α) : IsLowerSet (s : Set α) := s.lower'
#align lower_set.lower LowerSet.lower
@[simp, norm_cast] lemma coe_mk (s : Set α) (hs) : mk s hs = s := rfl
@[simp] lemma mem_mk {s : Set α} (hs) {a : α} : a ∈ mk s hs ↔ a ∈ s := Iff.rfl
#align lower_set.mem_mk LowerSet.mem_mk
end LowerSet
/-! #### Order -/
namespace UpperSet
variable {S : Set (UpperSet α)} {s t : UpperSet α} {a : α}
instance : Sup (UpperSet α) :=
⟨fun s t => ⟨s ∩ t, s.upper.inter t.upper⟩⟩
instance : Inf (UpperSet α) :=
⟨fun s t => ⟨s ∪ t, s.upper.union t.upper⟩⟩
instance : Top (UpperSet α) :=
⟨⟨∅, isUpperSet_empty⟩⟩
instance : Bot (UpperSet α) :=
⟨⟨univ, isUpperSet_univ⟩⟩
instance : SupSet (UpperSet α) :=
⟨fun S => ⟨⋂ s ∈ S, ↑s, isUpperSet_iInter₂ fun s _ => s.upper⟩⟩
instance : InfSet (UpperSet α) :=
⟨fun S => ⟨⋃ s ∈ S, ↑s, isUpperSet_iUnion₂ fun s _ => s.upper⟩⟩
instance completelyDistribLattice : CompletelyDistribLattice (UpperSet α) :=
(toDual.injective.comp SetLike.coe_injective).completelyDistribLattice _ (fun _ _ => rfl)
(fun _ _ => rfl) (fun _ => rfl) (fun _ => rfl) rfl rfl
instance : Inhabited (UpperSet α) :=
⟨⊥⟩
@[simp 1100, norm_cast]
theorem coe_subset_coe : (s : Set α) ⊆ t ↔ t ≤ s :=
Iff.rfl
#align upper_set.coe_subset_coe UpperSet.coe_subset_coe
@[simp 1100, norm_cast] lemma coe_ssubset_coe : (s : Set α) ⊂ t ↔ t < s := Iff.rfl
@[simp, norm_cast]
theorem coe_top : ((⊤ : UpperSet α) : Set α) = ∅ :=
rfl
#align upper_set.coe_top UpperSet.coe_top
@[simp, norm_cast]
theorem coe_bot : ((⊥ : UpperSet α) : Set α) = univ :=
rfl
#align upper_set.coe_bot UpperSet.coe_bot
@[simp, norm_cast]
theorem coe_eq_univ : (s : Set α) = univ ↔ s = ⊥ := by simp [SetLike.ext'_iff]
#align upper_set.coe_eq_univ UpperSet.coe_eq_univ
@[simp, norm_cast]
theorem coe_eq_empty : (s : Set α) = ∅ ↔ s = ⊤ := by simp [SetLike.ext'_iff]
#align upper_set.coe_eq_empty UpperSet.coe_eq_empty
@[simp, norm_cast] lemma coe_nonempty : (s : Set α).Nonempty ↔ s ≠ ⊤ :=
nonempty_iff_ne_empty.trans coe_eq_empty.not
@[simp, norm_cast]
theorem coe_sup (s t : UpperSet α) : (↑(s ⊔ t) : Set α) = (s : Set α) ∩ t :=
rfl
#align upper_set.coe_sup UpperSet.coe_sup
@[simp, norm_cast]
theorem coe_inf (s t : UpperSet α) : (↑(s ⊓ t) : Set α) = (s : Set α) ∪ t :=
rfl
#align upper_set.coe_inf UpperSet.coe_inf
@[simp, norm_cast]
theorem coe_sSup (S : Set (UpperSet α)) : (↑(sSup S) : Set α) = ⋂ s ∈ S, ↑s :=
rfl
#align upper_set.coe_Sup UpperSet.coe_sSup
@[simp, norm_cast]
theorem coe_sInf (S : Set (UpperSet α)) : (↑(sInf S) : Set α) = ⋃ s ∈ S, ↑s :=
rfl
#align upper_set.coe_Inf UpperSet.coe_sInf
@[simp, norm_cast]
theorem coe_iSup (f : ι → UpperSet α) : (↑(⨆ i, f i) : Set α) = ⋂ i, f i := by simp [iSup]
#align upper_set.coe_supr UpperSet.coe_iSup
@[simp, norm_cast]
theorem coe_iInf (f : ι → UpperSet α) : (↑(⨅ i, f i) : Set α) = ⋃ i, f i := by simp [iInf]
#align upper_set.coe_infi UpperSet.coe_iInf
@[norm_cast] -- Porting note: no longer a `simp`
theorem coe_iSup₂ (f : ∀ i, κ i → UpperSet α) :
(↑(⨆ (i) (j), f i j) : Set α) = ⋂ (i) (j), f i j := by simp_rw [coe_iSup]
#align upper_set.coe_supr₂ UpperSet.coe_iSup₂
@[norm_cast] -- Porting note: no longer a `simp`
| Mathlib/Order/UpperLower/Basic.lean | 636 | 637 | theorem coe_iInf₂ (f : ∀ i, κ i → UpperSet α) :
(↑(⨅ (i) (j), f i j) : Set α) = ⋃ (i) (j), f i j := by | simp_rw [coe_iInf]
|
/-
Copyright (c) 2022 Markus Himmel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Markus Himmel
-/
import Mathlib.CategoryTheory.Limits.Shapes.Biproducts
import Mathlib.CategoryTheory.Limits.Preserves.Shapes.Zero
#align_import category_theory.limits.preserves.shapes.biproducts from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a"
/-!
# Preservation of biproducts
We define the image of a (binary) bicone under a functor that preserves zero morphisms and define
classes `PreservesBiproduct` and `PreservesBinaryBiproduct`. We then
* show that a functor that preserves biproducts of a two-element type preserves binary biproducts,
* construct the comparison morphisms between the image of a biproduct and the biproduct of the
images and show that the biproduct is preserved if one of them is an isomorphism,
* give the canonical isomorphism between the image of a biproduct and the biproduct of the images
in case that the biproduct is preserved.
-/
universe w₁ w₂ v₁ v₂ u₁ u₂
noncomputable section
open CategoryTheory
open CategoryTheory.Limits
namespace CategoryTheory
variable {C : Type u₁} [Category.{v₁} C] {D : Type u₂} [Category.{v₂} D]
section HasZeroMorphisms
variable [HasZeroMorphisms C] [HasZeroMorphisms D]
namespace Functor
section Map
variable (F : C ⥤ D) [PreservesZeroMorphisms F]
section Bicone
variable {J : Type w₁}
/-- The image of a bicone under a functor. -/
@[simps]
def mapBicone {f : J → C} (b : Bicone f) : Bicone (F.obj ∘ f) where
pt := F.obj b.pt
π j := F.map (b.π j)
ι j := F.map (b.ι j)
ι_π j j' := by
rw [← F.map_comp]
split_ifs with h
· subst h
simp only [bicone_ι_π_self, CategoryTheory.Functor.map_id, eqToHom_refl]; dsimp
· rw [bicone_ι_π_ne _ h, F.map_zero]
#align category_theory.functor.map_bicone CategoryTheory.Functor.mapBicone
theorem mapBicone_whisker {K : Type w₂} {g : K ≃ J} {f : J → C} (c : Bicone f) :
F.mapBicone (c.whisker g) = (F.mapBicone c).whisker g :=
rfl
#align category_theory.functor.map_bicone_whisker CategoryTheory.Functor.mapBicone_whisker
end Bicone
/-- The image of a binary bicone under a functor. -/
@[simps!]
def mapBinaryBicone {X Y : C} (b : BinaryBicone X Y) : BinaryBicone (F.obj X) (F.obj Y) :=
(BinaryBicones.functoriality _ _ F).obj b
#align category_theory.functor.map_binary_bicone CategoryTheory.Functor.mapBinaryBicone
end Map
end Functor
open CategoryTheory.Functor
namespace Limits
section Bicone
variable {J : Type w₁} {K : Type w₂}
/-- A functor `F` preserves biproducts of `f` if `F` maps every bilimit bicone over `f` to a
bilimit bicone over `F.obj ∘ f`. -/
class PreservesBiproduct (f : J → C) (F : C ⥤ D) [PreservesZeroMorphisms F] where
preserves : ∀ {b : Bicone f}, b.IsBilimit → (F.mapBicone b).IsBilimit
#align category_theory.limits.preserves_biproduct CategoryTheory.Limits.PreservesBiproduct
attribute [inherit_doc PreservesBiproduct] PreservesBiproduct.preserves
/-- A functor `F` preserves biproducts of `f` if `F` maps every bilimit bicone over `f` to a
bilimit bicone over `F.obj ∘ f`. -/
def isBilimitOfPreserves {f : J → C} (F : C ⥤ D) [PreservesZeroMorphisms F] [PreservesBiproduct f F]
{b : Bicone f} (hb : b.IsBilimit) : (F.mapBicone b).IsBilimit :=
PreservesBiproduct.preserves hb
#align category_theory.limits.is_bilimit_of_preserves CategoryTheory.Limits.isBilimitOfPreserves
variable (J)
/-- A functor `F` preserves biproducts of shape `J` if it preserves biproducts of `f` for every
`f : J → C`. -/
class PreservesBiproductsOfShape (F : C ⥤ D) [PreservesZeroMorphisms F] where
preserves : ∀ {f : J → C}, PreservesBiproduct f F
#align category_theory.limits.preserves_biproducts_of_shape CategoryTheory.Limits.PreservesBiproductsOfShape
attribute [inherit_doc PreservesBiproductsOfShape] PreservesBiproductsOfShape.preserves
attribute [instance 100] PreservesBiproductsOfShape.preserves
end Bicone
/-- A functor `F` preserves finite biproducts if it preserves biproducts of shape `J` whenever
`J` is a fintype. -/
class PreservesFiniteBiproducts (F : C ⥤ D) [PreservesZeroMorphisms F] where
preserves : ∀ {J : Type} [Fintype J], PreservesBiproductsOfShape J F
#align category_theory.limits.preserves_finite_biproducts CategoryTheory.Limits.PreservesFiniteBiproducts
attribute [inherit_doc PreservesFiniteBiproducts] PreservesFiniteBiproducts.preserves
attribute [instance 100] PreservesFiniteBiproducts.preserves
/-- A functor `F` preserves biproducts if it preserves biproducts of any shape `J` of size `w`.
The usual notion of preservation of biproducts is recovered by choosing `w` to be the universe
of the morphisms of `C`. -/
class PreservesBiproducts (F : C ⥤ D) [PreservesZeroMorphisms F] where
preserves : ∀ {J : Type w₁}, PreservesBiproductsOfShape J F
#align category_theory.limits.preserves_biproducts CategoryTheory.Limits.PreservesBiproducts
attribute [inherit_doc PreservesBiproducts] PreservesBiproducts.preserves
attribute [instance 100] PreservesBiproducts.preserves
/-- Preserving biproducts at a bigger universe level implies preserving biproducts at a
smaller universe level. -/
def preservesBiproductsShrink (F : C ⥤ D) [PreservesZeroMorphisms F]
[PreservesBiproducts.{max w₁ w₂} F] : PreservesBiproducts.{w₁} F :=
⟨fun {_} =>
⟨fun {_} =>
⟨fun {b} ib =>
((F.mapBicone b).whiskerIsBilimitIff _).toFun
(isBilimitOfPreserves F ((b.whiskerIsBilimitIff Equiv.ulift.{w₂}).invFun ib))⟩⟩⟩
#align category_theory.limits.preserves_biproducts_shrink CategoryTheory.Limits.preservesBiproductsShrink
instance (priority := 100) preservesFiniteBiproductsOfPreservesBiproducts (F : C ⥤ D)
[PreservesZeroMorphisms F] [PreservesBiproducts.{w₁} F] : PreservesFiniteBiproducts F where
preserves {J} _ := by letI := preservesBiproductsShrink.{0} F; infer_instance
#align category_theory.limits.preserves_finite_biproducts_of_preserves_biproducts CategoryTheory.Limits.preservesFiniteBiproductsOfPreservesBiproducts
/-- A functor `F` preserves binary biproducts of `X` and `Y` if `F` maps every bilimit bicone over
`X` and `Y` to a bilimit bicone over `F.obj X` and `F.obj Y`. -/
class PreservesBinaryBiproduct (X Y : C) (F : C ⥤ D) [PreservesZeroMorphisms F] where
preserves : ∀ {b : BinaryBicone X Y}, b.IsBilimit → (F.mapBinaryBicone b).IsBilimit
#align category_theory.limits.preserves_binary_biproduct CategoryTheory.Limits.PreservesBinaryBiproduct
attribute [inherit_doc PreservesBinaryBiproduct] PreservesBinaryBiproduct.preserves
/-- A functor `F` preserves binary biproducts of `X` and `Y` if `F` maps every bilimit bicone over
`X` and `Y` to a bilimit bicone over `F.obj X` and `F.obj Y`. -/
def isBinaryBilimitOfPreserves {X Y : C} (F : C ⥤ D) [PreservesZeroMorphisms F]
[PreservesBinaryBiproduct X Y F] {b : BinaryBicone X Y} (hb : b.IsBilimit) :
(F.mapBinaryBicone b).IsBilimit :=
PreservesBinaryBiproduct.preserves hb
#align category_theory.limits.is_binary_bilimit_of_preserves CategoryTheory.Limits.isBinaryBilimitOfPreserves
/-- A functor `F` preserves binary biproducts if it preserves the binary biproduct of `X` and `Y`
for all `X` and `Y`. -/
class PreservesBinaryBiproducts (F : C ⥤ D) [PreservesZeroMorphisms F] where
preserves : ∀ {X Y : C}, PreservesBinaryBiproduct X Y F := by infer_instance
#align category_theory.limits.preserves_binary_biproducts CategoryTheory.Limits.PreservesBinaryBiproducts
attribute [inherit_doc PreservesBinaryBiproducts] PreservesBinaryBiproducts.preserves
/-- A functor that preserves biproducts of a pair preserves binary biproducts. -/
def preservesBinaryBiproductOfPreservesBiproduct (F : C ⥤ D) [PreservesZeroMorphisms F] (X Y : C)
[PreservesBiproduct (pairFunction X Y) F] : PreservesBinaryBiproduct X Y F where
preserves {b} hb :=
{ isLimit :=
IsLimit.ofIsoLimit
((IsLimit.postcomposeHomEquiv (diagramIsoPair _) _).symm
(isBilimitOfPreserves F (b.toBiconeIsBilimit.symm hb)).isLimit) <|
Cones.ext (Iso.refl _) fun j => by
rcases j with ⟨⟨⟩⟩ <;> simp
isColimit :=
IsColimit.ofIsoColimit
((IsColimit.precomposeInvEquiv (diagramIsoPair _) _).symm
(isBilimitOfPreserves F (b.toBiconeIsBilimit.symm hb)).isColimit) <|
Cocones.ext (Iso.refl _) fun j => by
rcases j with ⟨⟨⟩⟩ <;> simp }
#align category_theory.limits.preserves_binary_biproduct_of_preserves_biproduct CategoryTheory.Limits.preservesBinaryBiproductOfPreservesBiproduct
/-- A functor that preserves biproducts of a pair preserves binary biproducts. -/
def preservesBinaryBiproductsOfPreservesBiproducts (F : C ⥤ D) [PreservesZeroMorphisms F]
[PreservesBiproductsOfShape WalkingPair F] : PreservesBinaryBiproducts F where
preserves {X} Y := preservesBinaryBiproductOfPreservesBiproduct F X Y
#align category_theory.limits.preserves_binary_biproducts_of_preserves_biproducts CategoryTheory.Limits.preservesBinaryBiproductsOfPreservesBiproducts
attribute [instance 100] PreservesBinaryBiproducts.preserves
end Limits
open CategoryTheory.Limits
namespace Functor
section Bicone
variable {J : Type w₁} (F : C ⥤ D) (f : J → C) [HasBiproduct f]
section
variable [HasBiproduct (F.obj ∘ f)]
/-- As for products, any functor between categories with biproducts gives rise to a morphism
`F.obj (⨁ f) ⟶ ⨁ (F.obj ∘ f)`. -/
def biproductComparison : F.obj (⨁ f) ⟶ ⨁ F.obj ∘ f :=
biproduct.lift fun j => F.map (biproduct.π f j)
#align category_theory.functor.biproduct_comparison CategoryTheory.Functor.biproductComparison
@[reassoc (attr := simp)]
theorem biproductComparison_π (j : J) :
biproductComparison F f ≫ biproduct.π _ j = F.map (biproduct.π f j) :=
biproduct.lift_π _ _
#align category_theory.functor.biproduct_comparison_π CategoryTheory.Functor.biproductComparison_π
/-- As for coproducts, any functor between categories with biproducts gives rise to a morphism
`⨁ (F.obj ∘ f) ⟶ F.obj (⨁ f)` -/
def biproductComparison' : ⨁ F.obj ∘ f ⟶ F.obj (⨁ f) :=
biproduct.desc fun j => F.map (biproduct.ι f j)
#align category_theory.functor.biproduct_comparison' CategoryTheory.Functor.biproductComparison'
@[reassoc (attr := simp)]
theorem ι_biproductComparison' (j : J) :
biproduct.ι _ j ≫ biproductComparison' F f = F.map (biproduct.ι f j) :=
biproduct.ι_desc _ _
#align category_theory.functor.ι_biproduct_comparison' CategoryTheory.Functor.ι_biproductComparison'
variable [PreservesZeroMorphisms F]
/-- The composition in the opposite direction is equal to the identity if and only if `F` preserves
the biproduct, see `preservesBiproduct_of_monoBiproductComparison`. -/
@[reassoc (attr := simp)]
theorem biproductComparison'_comp_biproductComparison :
biproductComparison' F f ≫ biproductComparison F f = 𝟙 (⨁ F.obj ∘ f) := by
classical
ext
simp [biproduct.ι_π, ← Functor.map_comp, eqToHom_map]
#align category_theory.functor.biproduct_comparison'_comp_biproduct_comparison CategoryTheory.Functor.biproductComparison'_comp_biproductComparison
/-- `biproduct_comparison F f` is a split epimorphism. -/
@[simps]
def splitEpiBiproductComparison : SplitEpi (biproductComparison F f) where
section_ := biproductComparison' F f
id := by aesop
#align category_theory.functor.split_epi_biproduct_comparison CategoryTheory.Functor.splitEpiBiproductComparison
instance : IsSplitEpi (biproductComparison F f) :=
IsSplitEpi.mk' (splitEpiBiproductComparison F f)
/-- `biproduct_comparison' F f` is a split monomorphism. -/
@[simps]
def splitMonoBiproductComparison' : SplitMono (biproductComparison' F f) where
retraction := biproductComparison F f
id := by aesop
#align category_theory.functor.split_mono_biproduct_comparison' CategoryTheory.Functor.splitMonoBiproductComparison'
instance : IsSplitMono (biproductComparison' F f) :=
IsSplitMono.mk' (splitMonoBiproductComparison' F f)
end
variable [PreservesZeroMorphisms F] [PreservesBiproduct f F]
instance hasBiproduct_of_preserves : HasBiproduct (F.obj ∘ f) :=
HasBiproduct.mk
{ bicone := F.mapBicone (biproduct.bicone f)
isBilimit := PreservesBiproduct.preserves (biproduct.isBilimit _) }
#align category_theory.functor.has_biproduct_of_preserves CategoryTheory.Functor.hasBiproduct_of_preserves
/-- If `F` preserves a biproduct, we get a definitionally nice isomorphism
`F.obj (⨁ f) ≅ ⨁ (F.obj ∘ f)`. -/
@[simp]
def mapBiproduct : F.obj (⨁ f) ≅ ⨁ F.obj ∘ f :=
biproduct.uniqueUpToIso _ (PreservesBiproduct.preserves (biproduct.isBilimit _))
#align category_theory.functor.map_biproduct CategoryTheory.Functor.mapBiproduct
theorem mapBiproduct_hom :
haveI : HasBiproduct fun j => F.obj (f j) := hasBiproduct_of_preserves F f
(mapBiproduct F f).hom = biproduct.lift fun j => F.map (biproduct.π f j) := rfl
#align category_theory.functor.map_biproduct_hom CategoryTheory.Functor.mapBiproduct_hom
theorem mapBiproduct_inv :
haveI : HasBiproduct fun j => F.obj (f j) := hasBiproduct_of_preserves F f
(mapBiproduct F f).inv = biproduct.desc fun j => F.map (biproduct.ι f j) := rfl
#align category_theory.functor.map_biproduct_inv CategoryTheory.Functor.mapBiproduct_inv
end Bicone
variable (F : C ⥤ D) (X Y : C) [HasBinaryBiproduct X Y]
section
variable [HasBinaryBiproduct (F.obj X) (F.obj Y)]
/-- As for products, any functor between categories with binary biproducts gives rise to a
morphism `F.obj (X ⊞ Y) ⟶ F.obj X ⊞ F.obj Y`. -/
def biprodComparison : F.obj (X ⊞ Y) ⟶ F.obj X ⊞ F.obj Y :=
biprod.lift (F.map biprod.fst) (F.map biprod.snd)
#align category_theory.functor.biprod_comparison CategoryTheory.Functor.biprodComparison
@[reassoc (attr := simp)]
theorem biprodComparison_fst : biprodComparison F X Y ≫ biprod.fst = F.map biprod.fst :=
biprod.lift_fst _ _
#align category_theory.functor.biprod_comparison_fst CategoryTheory.Functor.biprodComparison_fst
@[reassoc (attr := simp)]
theorem biprodComparison_snd : biprodComparison F X Y ≫ biprod.snd = F.map biprod.snd :=
biprod.lift_snd _ _
#align category_theory.functor.biprod_comparison_snd CategoryTheory.Functor.biprodComparison_snd
/-- As for coproducts, any functor between categories with binary biproducts gives rise to a
morphism `F.obj X ⊞ F.obj Y ⟶ F.obj (X ⊞ Y)`. -/
def biprodComparison' : F.obj X ⊞ F.obj Y ⟶ F.obj (X ⊞ Y) :=
biprod.desc (F.map biprod.inl) (F.map biprod.inr)
#align category_theory.functor.biprod_comparison' CategoryTheory.Functor.biprodComparison'
@[reassoc (attr := simp)]
theorem inl_biprodComparison' : biprod.inl ≫ biprodComparison' F X Y = F.map biprod.inl :=
biprod.inl_desc _ _
#align category_theory.functor.inl_biprod_comparison' CategoryTheory.Functor.inl_biprodComparison'
@[reassoc (attr := simp)]
theorem inr_biprodComparison' : biprod.inr ≫ biprodComparison' F X Y = F.map biprod.inr :=
biprod.inr_desc _ _
#align category_theory.functor.inr_biprod_comparison' CategoryTheory.Functor.inr_biprodComparison'
variable [PreservesZeroMorphisms F]
/-- The composition in the opposite direction is equal to the identity if and only if `F` preserves
the biproduct, see `preservesBinaryBiproduct_of_monoBiprodComparison`. -/
@[reassoc (attr := simp)]
theorem biprodComparison'_comp_biprodComparison :
biprodComparison' F X Y ≫ biprodComparison F X Y = 𝟙 (F.obj X ⊞ F.obj Y) := by
ext <;> simp [← Functor.map_comp]
#align category_theory.functor.biprod_comparison'_comp_biprod_comparison CategoryTheory.Functor.biprodComparison'_comp_biprodComparison
/-- `biprodComparison F X Y` is a split epi. -/
@[simps]
def splitEpiBiprodComparison : SplitEpi (biprodComparison F X Y) where
section_ := biprodComparison' F X Y
id := by aesop
#align category_theory.functor.split_epi_biprod_comparison CategoryTheory.Functor.splitEpiBiprodComparison
instance : IsSplitEpi (biprodComparison F X Y) :=
IsSplitEpi.mk' (splitEpiBiprodComparison F X Y)
/-- `biprodComparison' F X Y` is a split mono. -/
@[simps]
def splitMonoBiprodComparison' : SplitMono (biprodComparison' F X Y) where
retraction := biprodComparison F X Y
id := by aesop
#align category_theory.functor.split_mono_biprod_comparison' CategoryTheory.Functor.splitMonoBiprodComparison'
instance : IsSplitMono (biprodComparison' F X Y) :=
IsSplitMono.mk' (splitMonoBiprodComparison' F X Y)
end
variable [PreservesZeroMorphisms F] [PreservesBinaryBiproduct X Y F]
instance hasBinaryBiproduct_of_preserves : HasBinaryBiproduct (F.obj X) (F.obj Y) :=
HasBinaryBiproduct.mk
{ bicone := F.mapBinaryBicone (BinaryBiproduct.bicone X Y)
isBilimit := PreservesBinaryBiproduct.preserves (BinaryBiproduct.isBilimit _ _) }
#align category_theory.functor.has_binary_biproduct_of_preserves CategoryTheory.Functor.hasBinaryBiproduct_of_preserves
/-- If `F` preserves a binary biproduct, we get a definitionally nice isomorphism
`F.obj (X ⊞ Y) ≅ F.obj X ⊞ F.obj Y`. -/
@[simp]
def mapBiprod : F.obj (X ⊞ Y) ≅ F.obj X ⊞ F.obj Y :=
biprod.uniqueUpToIso _ _ (PreservesBinaryBiproduct.preserves (BinaryBiproduct.isBilimit _ _))
#align category_theory.functor.map_biprod CategoryTheory.Functor.mapBiprod
theorem mapBiprod_hom : (mapBiprod F X Y).hom = biprod.lift (F.map biprod.fst) (F.map biprod.snd) :=
rfl
#align category_theory.functor.map_biprod_hom CategoryTheory.Functor.mapBiprod_hom
theorem mapBiprod_inv : (mapBiprod F X Y).inv = biprod.desc (F.map biprod.inl) (F.map biprod.inr) :=
rfl
#align category_theory.functor.map_biprod_inv CategoryTheory.Functor.mapBiprod_inv
end Functor
namespace Limits
variable (F : C ⥤ D) [PreservesZeroMorphisms F]
section Bicone
variable {J : Type w₁} (f : J → C) [HasBiproduct f] [PreservesBiproduct f F] {W : C}
theorem biproduct.map_lift_mapBiprod (g : ∀ j, W ⟶ f j) :
-- Porting note: twice we need haveI to tell Lean about hasBiproduct_of_preserves F f
haveI : HasBiproduct fun j => F.obj (f j) := hasBiproduct_of_preserves F f
F.map (biproduct.lift g) ≫ (F.mapBiproduct f).hom = biproduct.lift fun j => F.map (g j) := by
ext j
dsimp only [Function.comp_def]
haveI : HasBiproduct fun j => F.obj (f j) := hasBiproduct_of_preserves F f
simp only [mapBiproduct_hom, Category.assoc, biproduct.lift_π, ← F.map_comp]
#align category_theory.limits.biproduct.map_lift_map_biprod CategoryTheory.Limits.biproduct.map_lift_mapBiprod
theorem biproduct.mapBiproduct_inv_map_desc (g : ∀ j, f j ⟶ W) :
-- Porting note: twice we need haveI to tell Lean about hasBiproduct_of_preserves F f
haveI : HasBiproduct fun j => F.obj (f j) := hasBiproduct_of_preserves F f
(F.mapBiproduct f).inv ≫ F.map (biproduct.desc g) = biproduct.desc fun j => F.map (g j) := by
ext j
dsimp only [Function.comp_def]
haveI : HasBiproduct fun j => F.obj (f j) := hasBiproduct_of_preserves F f
simp only [mapBiproduct_inv, ← Category.assoc, biproduct.ι_desc ,← F.map_comp]
#align category_theory.limits.biproduct.map_biproduct_inv_map_desc CategoryTheory.Limits.biproduct.mapBiproduct_inv_map_desc
theorem biproduct.mapBiproduct_hom_desc (g : ∀ j, f j ⟶ W) :
((F.mapBiproduct f).hom ≫ biproduct.desc fun j => F.map (g j)) = F.map (biproduct.desc g) := by
rw [← biproduct.mapBiproduct_inv_map_desc, Iso.hom_inv_id_assoc]
#align category_theory.limits.biproduct.map_biproduct_hom_desc CategoryTheory.Limits.biproduct.mapBiproduct_hom_desc
end Bicone
section BinaryBicone
variable (X Y : C) [HasBinaryBiproduct X Y] [PreservesBinaryBiproduct X Y F] {W : C}
| Mathlib/CategoryTheory/Limits/Preserves/Shapes/Biproducts.lean | 440 | 442 | theorem biprod.map_lift_mapBiprod (f : W ⟶ X) (g : W ⟶ Y) :
F.map (biprod.lift f g) ≫ (F.mapBiprod X Y).hom = biprod.lift (F.map f) (F.map g) := by |
ext <;> simp [mapBiprod, ← F.map_comp]
|
/-
Copyright (c) 2023 Jireh Loreaux. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jireh Loreaux
-/
import Mathlib.Algebra.Algebra.NonUnitalSubalgebra
import Mathlib.Algebra.Star.StarAlgHom
import Mathlib.Algebra.Star.Center
/-!
# Non-unital Star Subalgebras
In this file we define `NonUnitalStarSubalgebra`s and the usual operations on them
(`map`, `comap`).
## TODO
* once we have scalar actions by semigroups (as opposed to monoids), implement the action of a
non-unital subalgebra on the larger algebra.
-/
namespace StarMemClass
/-- If a type carries an involutive star, then any star-closed subset does too. -/
instance instInvolutiveStar {S R : Type*} [InvolutiveStar R] [SetLike S R] [StarMemClass S R]
(s : S) : InvolutiveStar s where
star_involutive r := Subtype.ext <| star_star (r : R)
/-- In a star magma (i.e., a multiplication with an antimultiplicative involutive star
operation), any star-closed subset which is also closed under multiplication is itself a star
magma. -/
instance instStarMul {S R : Type*} [Mul R] [StarMul R] [SetLike S R]
[MulMemClass S R] [StarMemClass S R] (s : S) : StarMul s where
star_mul _ _ := Subtype.ext <| star_mul _ _
/-- In a `StarAddMonoid` (i.e., an additive monoid with an additive involutive star operation), any
star-closed subset which is also closed under addition and contains zero is itself a
`StarAddMonoid`. -/
instance instStarAddMonoid {S R : Type*} [AddMonoid R] [StarAddMonoid R] [SetLike S R]
[AddSubmonoidClass S R] [StarMemClass S R] (s : S) : StarAddMonoid s where
star_add _ _ := Subtype.ext <| star_add _ _
/-- In a star ring (i.e., a non-unital, non-associative, semiring with an additive,
antimultiplicative, involutive star operation), a star-closed non-unital subsemiring is itself a
star ring. -/
instance instStarRing {S R : Type*} [NonUnitalNonAssocSemiring R] [StarRing R] [SetLike S R]
[NonUnitalSubsemiringClass S R] [StarMemClass S R] (s : S) : StarRing s :=
{ StarMemClass.instStarMul s, StarMemClass.instStarAddMonoid s with }
/-- In a star `R`-module (i.e., `star (r • m) = (star r) • m`) any star-closed subset which is also
closed under the scalar action by `R` is itself a star `R`-module. -/
instance instStarModule {S : Type*} (R : Type*) {M : Type*} [Star R] [Star M] [SMul R M]
[StarModule R M] [SetLike S M] [SMulMemClass S R M] [StarMemClass S M] (s : S) :
StarModule R s where
star_smul _ _ := Subtype.ext <| star_smul _ _
end StarMemClass
universe u u' v v' w w' w''
variable {F : Type v'} {R' : Type u'} {R : Type u}
variable {A : Type v} {B : Type w} {C : Type w'}
namespace NonUnitalStarSubalgebraClass
variable [CommSemiring R] [NonUnitalNonAssocSemiring A]
variable [Star A] [Module R A]
variable {S : Type w''} [SetLike S A] [NonUnitalSubsemiringClass S A]
variable [hSR : SMulMemClass S R A] [StarMemClass S A] (s : S)
/-- Embedding of a non-unital star subalgebra into the non-unital star algebra. -/
def subtype (s : S) : s →⋆ₙₐ[R] A :=
{ NonUnitalSubalgebraClass.subtype s with
toFun := Subtype.val
map_star' := fun _ => rfl }
@[simp]
theorem coeSubtype : (subtype s : s → A) = Subtype.val :=
rfl
end NonUnitalStarSubalgebraClass
/-- A non-unital star subalgebra is a non-unital subalgebra which is closed under the `star`
operation. -/
structure NonUnitalStarSubalgebra (R : Type u) (A : Type v) [CommSemiring R]
[NonUnitalNonAssocSemiring A] [Module R A] [Star A]
extends NonUnitalSubalgebra R A : Type v where
/-- The `carrier` of a `NonUnitalStarSubalgebra` is closed under the `star` operation. -/
star_mem' : ∀ {a : A} (_ha : a ∈ carrier), star a ∈ carrier
/-- Reinterpret a `NonUnitalStarSubalgebra` as a `NonUnitalSubalgebra`. -/
add_decl_doc NonUnitalStarSubalgebra.toNonUnitalSubalgebra
namespace NonUnitalStarSubalgebra
variable [CommSemiring R]
variable [NonUnitalNonAssocSemiring A] [Module R A] [Star A]
variable [NonUnitalNonAssocSemiring B] [Module R B] [Star B]
variable [NonUnitalNonAssocSemiring C] [Module R C] [Star C]
variable [FunLike F A B] [NonUnitalAlgHomClass F R A B] [NonUnitalStarAlgHomClass F R A B]
instance instSetLike : SetLike (NonUnitalStarSubalgebra R A) A where
coe {s} := s.carrier
coe_injective' p q h := by cases p; cases q; congr; exact SetLike.coe_injective h
instance instNonUnitalSubsemiringClass :
NonUnitalSubsemiringClass (NonUnitalStarSubalgebra R A) A where
add_mem {s} := s.add_mem'
mul_mem {s} := s.mul_mem'
zero_mem {s} := s.zero_mem'
instance instSMulMemClass : SMulMemClass (NonUnitalStarSubalgebra R A) R A where
smul_mem {s} := s.smul_mem'
instance instStarMemClass : StarMemClass (NonUnitalStarSubalgebra R A) A where
star_mem {s} := s.star_mem'
instance instNonUnitalSubringClass {R : Type u} {A : Type v} [CommRing R] [NonUnitalNonAssocRing A]
[Module R A] [Star A] : NonUnitalSubringClass (NonUnitalStarSubalgebra R A) A :=
{ NonUnitalStarSubalgebra.instNonUnitalSubsemiringClass with
neg_mem := fun _S {x} hx => neg_one_smul R x ▸ SMulMemClass.smul_mem _ hx }
theorem mem_carrier {s : NonUnitalStarSubalgebra R A} {x : A} : x ∈ s.carrier ↔ x ∈ s :=
Iff.rfl
@[ext]
theorem ext {S T : NonUnitalStarSubalgebra R A} (h : ∀ x : A, x ∈ S ↔ x ∈ T) : S = T :=
SetLike.ext h
@[simp]
theorem mem_toNonUnitalSubalgebra {S : NonUnitalStarSubalgebra R A} {x} :
x ∈ S.toNonUnitalSubalgebra ↔ x ∈ S :=
Iff.rfl
@[simp]
theorem coe_toNonUnitalSubalgebra (S : NonUnitalStarSubalgebra R A) :
(↑S.toNonUnitalSubalgebra : Set A) = S :=
rfl
theorem toNonUnitalSubalgebra_injective :
Function.Injective
(toNonUnitalSubalgebra : NonUnitalStarSubalgebra R A → NonUnitalSubalgebra R A) :=
fun S T h =>
ext fun x => by rw [← mem_toNonUnitalSubalgebra, ← mem_toNonUnitalSubalgebra, h]
theorem toNonUnitalSubalgebra_inj {S U : NonUnitalStarSubalgebra R A} :
S.toNonUnitalSubalgebra = U.toNonUnitalSubalgebra ↔ S = U :=
toNonUnitalSubalgebra_injective.eq_iff
theorem toNonUnitalSubalgebra_le_iff {S₁ S₂ : NonUnitalStarSubalgebra R A} :
S₁.toNonUnitalSubalgebra ≤ S₂.toNonUnitalSubalgebra ↔ S₁ ≤ S₂ :=
Iff.rfl
/-- Copy of a non-unital star subalgebra with a new `carrier` equal to the old one.
Useful to fix definitional equalities. -/
protected def copy (S : NonUnitalStarSubalgebra R A) (s : Set A) (hs : s = ↑S) :
NonUnitalStarSubalgebra R A :=
{ S.toNonUnitalSubalgebra.copy s hs with
star_mem' := @fun x (hx : x ∈ s) => by
show star x ∈ s
rw [hs] at hx ⊢
exact S.star_mem' hx }
@[simp]
theorem coe_copy (S : NonUnitalStarSubalgebra R A) (s : Set A) (hs : s = ↑S) :
(S.copy s hs : Set A) = s :=
rfl
theorem copy_eq (S : NonUnitalStarSubalgebra R A) (s : Set A) (hs : s = ↑S) : S.copy s hs = S :=
SetLike.coe_injective hs
variable (S : NonUnitalStarSubalgebra R A)
/-- A non-unital star subalgebra over a ring is also a `Subring`. -/
def toNonUnitalSubring {R : Type u} {A : Type v} [CommRing R] [NonUnitalRing A] [Module R A]
[Star A] (S : NonUnitalStarSubalgebra R A) : NonUnitalSubring A where
toNonUnitalSubsemiring := S.toNonUnitalSubsemiring
neg_mem' := neg_mem (s := S)
@[simp]
theorem mem_toNonUnitalSubring {R : Type u} {A : Type v} [CommRing R] [NonUnitalRing A] [Module R A]
[Star A] {S : NonUnitalStarSubalgebra R A} {x} : x ∈ S.toNonUnitalSubring ↔ x ∈ S :=
Iff.rfl
@[simp]
theorem coe_toNonUnitalSubring {R : Type u} {A : Type v} [CommRing R] [NonUnitalRing A] [Module R A]
[Star A] (S : NonUnitalStarSubalgebra R A) : (↑S.toNonUnitalSubring : Set A) = S :=
rfl
theorem toNonUnitalSubring_injective {R : Type u} {A : Type v} [CommRing R] [NonUnitalRing A]
[Module R A] [Star A] :
Function.Injective (toNonUnitalSubring : NonUnitalStarSubalgebra R A → NonUnitalSubring A) :=
fun S T h => ext fun x => by rw [← mem_toNonUnitalSubring, ← mem_toNonUnitalSubring, h]
theorem toNonUnitalSubring_inj {R : Type u} {A : Type v} [CommRing R] [NonUnitalRing A] [Module R A]
[Star A] {S U : NonUnitalStarSubalgebra R A} :
S.toNonUnitalSubring = U.toNonUnitalSubring ↔ S = U :=
toNonUnitalSubring_injective.eq_iff
instance instInhabited : Inhabited S :=
⟨(0 : S.toNonUnitalSubalgebra)⟩
section
/-! `NonUnitalStarSubalgebra`s inherit structure from their `NonUnitalSubsemiringClass` and
`NonUnitalSubringClass` instances. -/
instance toNonUnitalSemiring {R A} [CommSemiring R] [NonUnitalSemiring A] [Module R A] [Star A]
(S : NonUnitalStarSubalgebra R A) : NonUnitalSemiring S :=
inferInstance
instance toNonUnitalCommSemiring {R A} [CommSemiring R] [NonUnitalCommSemiring A] [Module R A]
[Star A] (S : NonUnitalStarSubalgebra R A) : NonUnitalCommSemiring S :=
inferInstance
instance toNonUnitalRing {R A} [CommRing R] [NonUnitalRing A] [Module R A] [Star A]
(S : NonUnitalStarSubalgebra R A) : NonUnitalRing S :=
inferInstance
instance toNonUnitalCommRing {R A} [CommRing R] [NonUnitalCommRing A] [Module R A] [Star A]
(S : NonUnitalStarSubalgebra R A) : NonUnitalCommRing S :=
inferInstance
end
/-- The forgetful map from `NonUnitalStarSubalgebra` to `NonUnitalSubalgebra` as an
`OrderEmbedding` -/
def toNonUnitalSubalgebra' : NonUnitalStarSubalgebra R A ↪o NonUnitalSubalgebra R A where
toEmbedding :=
{ toFun := fun S => S.toNonUnitalSubalgebra
inj' := fun S T h => ext <| by apply SetLike.ext_iff.1 h }
map_rel_iff' := SetLike.coe_subset_coe.symm.trans SetLike.coe_subset_coe
section
/-! `NonUnitalStarSubalgebra`s inherit structure from their `Submodule` coercions. -/
instance module' [Semiring R'] [SMul R' R] [Module R' A] [IsScalarTower R' R A] : Module R' S :=
SMulMemClass.toModule' _ R' R A S
instance instModule : Module R S :=
S.module'
instance instIsScalarTower' [Semiring R'] [SMul R' R] [Module R' A] [IsScalarTower R' R A] :
IsScalarTower R' R S :=
S.toNonUnitalSubalgebra.instIsScalarTower'
instance instIsScalarTower [IsScalarTower R A A] : IsScalarTower R S S where
smul_assoc r x y := Subtype.ext <| smul_assoc r (x : A) (y : A)
instance instSMulCommClass' [Semiring R'] [SMul R' R] [Module R' A] [IsScalarTower R' R A]
[SMulCommClass R' R A] : SMulCommClass R' R S where
smul_comm r' r s := Subtype.ext <| smul_comm r' r (s : A)
instance instSMulCommClass [SMulCommClass R A A] : SMulCommClass R S S where
smul_comm r x y := Subtype.ext <| smul_comm r (x : A) (y : A)
end
instance noZeroSMulDivisors_bot [NoZeroSMulDivisors R A] : NoZeroSMulDivisors R S :=
⟨fun {c x} h =>
have : c = 0 ∨ (x : A) = 0 := eq_zero_or_eq_zero_of_smul_eq_zero (congr_arg ((↑) : S → A) h)
this.imp_right (@Subtype.ext_iff _ _ x 0).mpr⟩
protected theorem coe_add (x y : S) : (↑(x + y) : A) = ↑x + ↑y :=
rfl
protected theorem coe_mul (x y : S) : (↑(x * y) : A) = ↑x * ↑y :=
rfl
protected theorem coe_zero : ((0 : S) : A) = 0 :=
rfl
protected theorem coe_neg {R : Type u} {A : Type v} [CommRing R] [NonUnitalRing A] [Module R A]
[Star A] {S : NonUnitalStarSubalgebra R A} (x : S) : (↑(-x) : A) = -↑x :=
rfl
protected theorem coe_sub {R : Type u} {A : Type v} [CommRing R] [NonUnitalRing A] [Module R A]
[Star A] {S : NonUnitalStarSubalgebra R A} (x y : S) : (↑(x - y) : A) = ↑x - ↑y :=
rfl
@[simp, norm_cast]
theorem coe_smul [Semiring R'] [SMul R' R] [Module R' A] [IsScalarTower R' R A] (r : R') (x : S) :
↑(r • x) = r • (x : A) :=
rfl
protected theorem coe_eq_zero {x : S} : (x : A) = 0 ↔ x = 0 :=
ZeroMemClass.coe_eq_zero
@[simp]
theorem toNonUnitalSubalgebra_subtype :
NonUnitalSubalgebraClass.subtype S = NonUnitalStarSubalgebraClass.subtype S :=
rfl
@[simp]
theorem toSubring_subtype {R A : Type*} [CommRing R] [NonUnitalRing A] [Module R A] [Star A]
(S : NonUnitalStarSubalgebra R A) :
NonUnitalSubringClass.subtype S = NonUnitalStarSubalgebraClass.subtype S :=
rfl
/-- Transport a non-unital star subalgebra via a non-unital star algebra homomorphism. -/
def map (f : F) (S : NonUnitalStarSubalgebra R A) : NonUnitalStarSubalgebra R B where
toNonUnitalSubalgebra := S.toNonUnitalSubalgebra.map (f : A →ₙₐ[R] B)
star_mem' := by rintro _ ⟨a, ha, rfl⟩; exact ⟨star a, star_mem (s := S) ha, map_star f a⟩
theorem map_mono {S₁ S₂ : NonUnitalStarSubalgebra R A} {f : F} :
S₁ ≤ S₂ → (map f S₁ : NonUnitalStarSubalgebra R B) ≤ map f S₂ :=
Set.image_subset f
theorem map_injective {f : F} (hf : Function.Injective f) :
Function.Injective (map f : NonUnitalStarSubalgebra R A → NonUnitalStarSubalgebra R B) :=
fun _S₁ _S₂ ih =>
ext <| Set.ext_iff.1 <| Set.image_injective.2 hf <| Set.ext <| SetLike.ext_iff.mp ih
@[simp]
theorem map_id (S : NonUnitalStarSubalgebra R A) : map (NonUnitalStarAlgHom.id R A) S = S :=
SetLike.coe_injective <| Set.image_id _
theorem map_map (S : NonUnitalStarSubalgebra R A) (g : B →⋆ₙₐ[R] C) (f : A →⋆ₙₐ[R] B) :
(S.map f).map g = S.map (g.comp f) :=
SetLike.coe_injective <| Set.image_image _ _ _
@[simp]
theorem mem_map {S : NonUnitalStarSubalgebra R A} {f : F} {y : B} :
y ∈ map f S ↔ ∃ x ∈ S, f x = y :=
NonUnitalSubalgebra.mem_map
theorem map_toNonUnitalSubalgebra {S : NonUnitalStarSubalgebra R A} {f : F} :
(map f S : NonUnitalStarSubalgebra R B).toNonUnitalSubalgebra =
NonUnitalSubalgebra.map f S.toNonUnitalSubalgebra :=
SetLike.coe_injective rfl
@[simp]
theorem coe_map (S : NonUnitalStarSubalgebra R A) (f : F) : map f S = f '' S :=
rfl
/-- Preimage of a non-unital star subalgebra under a non-unital star algebra homomorphism. -/
def comap (f : F) (S : NonUnitalStarSubalgebra R B) : NonUnitalStarSubalgebra R A where
toNonUnitalSubalgebra := S.toNonUnitalSubalgebra.comap f
star_mem' := @fun a (ha : f a ∈ S) =>
show f (star a) ∈ S from (map_star f a).symm ▸ star_mem (s := S) ha
theorem map_le {S : NonUnitalStarSubalgebra R A} {f : F} {U : NonUnitalStarSubalgebra R B} :
map f S ≤ U ↔ S ≤ comap f U :=
Set.image_subset_iff
theorem gc_map_comap (f : F) : GaloisConnection (map f) (comap f) :=
fun _S _U => map_le
@[simp]
theorem mem_comap (S : NonUnitalStarSubalgebra R B) (f : F) (x : A) : x ∈ comap f S ↔ f x ∈ S :=
Iff.rfl
@[simp, norm_cast]
theorem coe_comap (S : NonUnitalStarSubalgebra R B) (f : F) : comap f S = f ⁻¹' (S : Set B) :=
rfl
instance instNoZeroDivisors {R A : Type*} [CommSemiring R] [NonUnitalSemiring A] [NoZeroDivisors A]
[Module R A] [Star A] (S : NonUnitalStarSubalgebra R A) : NoZeroDivisors S :=
NonUnitalSubsemiringClass.noZeroDivisors S
end NonUnitalStarSubalgebra
namespace NonUnitalSubalgebra
variable [CommSemiring R] [NonUnitalSemiring A] [Module R A] [Star A]
variable (s : NonUnitalSubalgebra R A)
/-- A non-unital subalgebra closed under `star` is a non-unital star subalgebra. -/
def toNonUnitalStarSubalgebra (h_star : ∀ x, x ∈ s → star x ∈ s) : NonUnitalStarSubalgebra R A :=
{ s with
star_mem' := @h_star }
@[simp]
theorem mem_toNonUnitalStarSubalgebra {s : NonUnitalSubalgebra R A} {h_star} {x} :
x ∈ s.toNonUnitalStarSubalgebra h_star ↔ x ∈ s :=
Iff.rfl
@[simp]
theorem coe_toNonUnitalStarSubalgebra (s : NonUnitalSubalgebra R A) (h_star) :
(s.toNonUnitalStarSubalgebra h_star : Set A) = s :=
rfl
@[simp]
theorem toNonUnitalStarSubalgebra_toNonUnitalSubalgebra (s : NonUnitalSubalgebra R A) (h_star) :
(s.toNonUnitalStarSubalgebra h_star).toNonUnitalSubalgebra = s :=
SetLike.coe_injective rfl
@[simp]
theorem _root_.NonUnitalStarSubalgebra.toNonUnitalSubalgebra_toNonUnitalStarSubalgebra
(S : NonUnitalStarSubalgebra R A) :
(S.toNonUnitalSubalgebra.toNonUnitalStarSubalgebra fun _ => star_mem (s := S)) = S :=
SetLike.coe_injective rfl
end NonUnitalSubalgebra
namespace NonUnitalStarAlgHom
variable [CommSemiring R]
variable [NonUnitalNonAssocSemiring A] [Module R A] [Star A]
variable [NonUnitalNonAssocSemiring B] [Module R B] [Star B]
variable [NonUnitalNonAssocSemiring C] [Module R C] [Star C]
variable [FunLike F A B] [NonUnitalAlgHomClass F R A B] [NonUnitalStarAlgHomClass F R A B]
/-- Range of an `NonUnitalAlgHom` as a `NonUnitalStarSubalgebra`. -/
protected def range (φ : F) : NonUnitalStarSubalgebra R B where
toNonUnitalSubalgebra := NonUnitalAlgHom.range (φ : A →ₙₐ[R] B)
star_mem' := by rintro _ ⟨a, rfl⟩; exact ⟨star a, map_star φ a⟩
@[simp]
theorem mem_range (φ : F) {y : B} :
y ∈ (NonUnitalStarAlgHom.range φ : NonUnitalStarSubalgebra R B) ↔ ∃ x : A, φ x = y :=
NonUnitalRingHom.mem_srange
theorem mem_range_self (φ : F) (x : A) :
φ x ∈ (NonUnitalStarAlgHom.range φ : NonUnitalStarSubalgebra R B) :=
(NonUnitalAlgHom.mem_range φ).2 ⟨x, rfl⟩
@[simp]
theorem coe_range (φ : F) :
((NonUnitalStarAlgHom.range φ : NonUnitalStarSubalgebra R B) : Set B) = Set.range (φ : A → B) :=
by ext; rw [SetLike.mem_coe, mem_range]; rfl
theorem range_comp (f : A →⋆ₙₐ[R] B) (g : B →⋆ₙₐ[R] C) :
NonUnitalStarAlgHom.range (g.comp f) = (NonUnitalStarAlgHom.range f).map g :=
SetLike.coe_injective (Set.range_comp g f)
theorem range_comp_le_range (f : A →⋆ₙₐ[R] B) (g : B →⋆ₙₐ[R] C) :
NonUnitalStarAlgHom.range (g.comp f) ≤ NonUnitalStarAlgHom.range g :=
SetLike.coe_mono (Set.range_comp_subset_range f g)
/-- Restrict the codomain of a non-unital star algebra homomorphism. -/
def codRestrict (f : F) (S : NonUnitalStarSubalgebra R B) (hf : ∀ x, f x ∈ S) : A →⋆ₙₐ[R] S where
toNonUnitalAlgHom := NonUnitalAlgHom.codRestrict f S.toNonUnitalSubalgebra hf
map_star' := fun a => Subtype.ext <| map_star f a
@[simp]
theorem subtype_comp_codRestrict (f : F) (S : NonUnitalStarSubalgebra R B) (hf : ∀ x : A, f x ∈ S) :
(NonUnitalStarSubalgebraClass.subtype S).comp (NonUnitalStarAlgHom.codRestrict f S hf) = f :=
NonUnitalStarAlgHom.ext fun _ => rfl
@[simp]
theorem coe_codRestrict (f : F) (S : NonUnitalStarSubalgebra R B) (hf : ∀ x, f x ∈ S) (x : A) :
↑(NonUnitalStarAlgHom.codRestrict f S hf x) = f x :=
rfl
theorem injective_codRestrict (f : F) (S : NonUnitalStarSubalgebra R B) (hf : ∀ x : A, f x ∈ S) :
Function.Injective (NonUnitalStarAlgHom.codRestrict f S hf) ↔ Function.Injective f :=
⟨fun H _x _y hxy => H <| Subtype.eq hxy, fun H _x _y hxy => H (congr_arg Subtype.val hxy : _)⟩
/-- Restrict the codomain of a non-unital star algebra homomorphism `f` to `f.range`.
This is the bundled version of `Set.rangeFactorization`. -/
abbrev rangeRestrict (f : F) :
A →⋆ₙₐ[R] (NonUnitalStarAlgHom.range f : NonUnitalStarSubalgebra R B) :=
NonUnitalStarAlgHom.codRestrict f (NonUnitalStarAlgHom.range f)
(NonUnitalStarAlgHom.mem_range_self f)
/-- The equalizer of two non-unital star `R`-algebra homomorphisms -/
def equalizer (ϕ ψ : F) : NonUnitalStarSubalgebra R A where
toNonUnitalSubalgebra := NonUnitalAlgHom.equalizer ϕ ψ
star_mem' := @fun x (hx : ϕ x = ψ x) => by simp [map_star, hx]
@[simp]
theorem mem_equalizer (φ ψ : F) (x : A) :
x ∈ NonUnitalStarAlgHom.equalizer φ ψ ↔ φ x = ψ x :=
Iff.rfl
end NonUnitalStarAlgHom
namespace StarAlgEquiv
variable [CommSemiring R]
variable [NonUnitalSemiring A] [Module R A] [Star A]
variable [NonUnitalSemiring B] [Module R B] [Star B]
variable [NonUnitalSemiring C] [Module R C] [Star C]
variable [FunLike F A B] [NonUnitalAlgHomClass F R A B] [NonUnitalStarAlgHomClass F R A B]
/-- Restrict a non-unital star algebra homomorphism with a left inverse to an algebra isomorphism
to its range.
This is a computable alternative to `StarAlgEquiv.ofInjective`. -/
def ofLeftInverse' {g : B → A} {f : F} (h : Function.LeftInverse g f) :
A ≃⋆ₐ[R] NonUnitalStarAlgHom.range f :=
{ NonUnitalStarAlgHom.rangeRestrict f with
toFun := NonUnitalStarAlgHom.rangeRestrict f
invFun := g ∘ (NonUnitalStarSubalgebraClass.subtype <| NonUnitalStarAlgHom.range f)
left_inv := h
right_inv := fun x =>
Subtype.ext <|
let ⟨x', hx'⟩ := (NonUnitalStarAlgHom.mem_range f).mp x.prop
show f (g x) = x by rw [← hx', h x'] }
@[simp]
theorem ofLeftInverse'_apply {g : B → A} {f : F} (h : Function.LeftInverse g f) (x : A) :
ofLeftInverse' h x = f x :=
rfl
@[simp]
theorem ofLeftInverse'_symm_apply {g : B → A} {f : F} (h : Function.LeftInverse g f)
(x : NonUnitalStarAlgHom.range f) : (ofLeftInverse' h).symm x = g x :=
rfl
/-- Restrict an injective non-unital star algebra homomorphism to a star algebra isomorphism -/
noncomputable def ofInjective' (f : F) (hf : Function.Injective f) :
A ≃⋆ₐ[R] NonUnitalStarAlgHom.range f :=
ofLeftInverse' (Classical.choose_spec hf.hasLeftInverse)
@[simp]
theorem ofInjective'_apply (f : F) (hf : Function.Injective f) (x : A) :
ofInjective' f hf x = f x :=
rfl
end StarAlgEquiv
/-! ### The star closure of a subalgebra -/
namespace NonUnitalSubalgebra
open scoped Pointwise
variable [CommSemiring R] [StarRing R]
variable [NonUnitalSemiring A] [StarRing A] [Module R A]
variable [IsScalarTower R A A] [SMulCommClass R A A] [StarModule R A]
variable [NonUnitalSemiring B] [StarRing B] [Module R B]
variable [IsScalarTower R B B] [SMulCommClass R B B] [StarModule R B]
/-- The pointwise `star` of a non-unital subalgebra is a non-unital subalgebra. -/
instance instInvolutiveStar : InvolutiveStar (NonUnitalSubalgebra R A) where
star S :=
{ carrier := star S.carrier
mul_mem' := @fun x y hx hy => by simpa only [Set.mem_star, NonUnitalSubalgebra.mem_carrier]
using (star_mul x y).symm ▸ mul_mem hy hx
add_mem' := @fun x y hx hy => by simpa only [Set.mem_star, NonUnitalSubalgebra.mem_carrier]
using (star_add x y).symm ▸ add_mem hx hy
zero_mem' := Set.mem_star.mp ((star_zero A).symm ▸ zero_mem S : star (0 : A) ∈ S)
smul_mem' := fun r x hx => by simpa only [Set.mem_star, NonUnitalSubalgebra.mem_carrier]
using (star_smul r x).symm ▸ SMulMemClass.smul_mem (star r) hx }
star_involutive S := NonUnitalSubalgebra.ext fun x =>
⟨fun hx => star_star x ▸ hx, fun hx => ((star_star x).symm ▸ hx : star (star x) ∈ S)⟩
@[simp]
theorem mem_star_iff (S : NonUnitalSubalgebra R A) (x : A) : x ∈ star S ↔ star x ∈ S :=
Iff.rfl
theorem star_mem_star_iff (S : NonUnitalSubalgebra R A) (x : A) : star x ∈ star S ↔ x ∈ S := by
simp
@[simp]
theorem coe_star (S : NonUnitalSubalgebra R A) : star S = star (S : Set A) :=
rfl
theorem star_mono : Monotone (star : NonUnitalSubalgebra R A → NonUnitalSubalgebra R A) :=
fun _ _ h _ hx => h hx
variable (R)
/-- The star operation on `NonUnitalSubalgebra` commutes with `NonUnitalAlgebra.adjoin`. -/
theorem star_adjoin_comm (s : Set A) :
star (NonUnitalAlgebra.adjoin R s) = NonUnitalAlgebra.adjoin R (star s) :=
have this :
∀ t : Set A, NonUnitalAlgebra.adjoin R (star t) ≤ star (NonUnitalAlgebra.adjoin R t) := fun t =>
NonUnitalAlgebra.adjoin_le fun x hx => NonUnitalAlgebra.subset_adjoin R hx
le_antisymm (by simpa only [star_star] using NonUnitalSubalgebra.star_mono (this (star s)))
(this s)
variable {R}
/-- The `NonUnitalStarSubalgebra` obtained from `S : NonUnitalSubalgebra R A` by taking the
smallest non-unital subalgebra containing both `S` and `star S`. -/
@[simps!]
def starClosure (S : NonUnitalSubalgebra R A) : NonUnitalStarSubalgebra R A where
toNonUnitalSubalgebra := S ⊔ star S
star_mem' := @fun a (ha : a ∈ S ⊔ star S) => show star a ∈ S ⊔ star S by
simp only [← mem_star_iff _ a, ← (@NonUnitalAlgebra.gi R A _ _ _ _ _).l_sup_u _ _] at *
convert ha using 2
simp only [Set.sup_eq_union, star_adjoin_comm, Set.union_star, coe_star, star_star,
Set.union_comm]
theorem starClosure_le {S₁ : NonUnitalSubalgebra R A} {S₂ : NonUnitalStarSubalgebra R A}
(h : S₁ ≤ S₂.toNonUnitalSubalgebra) : S₁.starClosure ≤ S₂ :=
NonUnitalStarSubalgebra.toNonUnitalSubalgebra_le_iff.1 <|
sup_le h fun x hx =>
(star_star x ▸ star_mem (show star x ∈ S₂ from h <| (S₁.mem_star_iff _).1 hx) : x ∈ S₂)
theorem starClosure_le_iff {S₁ : NonUnitalSubalgebra R A} {S₂ : NonUnitalStarSubalgebra R A} :
S₁.starClosure ≤ S₂ ↔ S₁ ≤ S₂.toNonUnitalSubalgebra :=
⟨fun h => le_sup_left.trans h, starClosure_le⟩
@[simp]
theorem starClosure_toNonunitalSubalgebra {S : NonUnitalSubalgebra R A} :
S.starClosure.toNonUnitalSubalgebra = S ⊔ star S :=
rfl
@[mono]
theorem starClosure_mono : Monotone (starClosure (R := R) (A := A)) :=
fun _ _ h => starClosure_le <| h.trans le_sup_left
end NonUnitalSubalgebra
namespace NonUnitalStarAlgebra
variable [CommSemiring R] [StarRing R]
variable [NonUnitalSemiring A] [StarRing A]
variable [Module R A] [IsScalarTower R A A] [SMulCommClass R A A] [StarModule R A]
variable [NonUnitalSemiring B] [StarRing B]
variable [Module R B] [IsScalarTower R B B] [SMulCommClass R B B] [StarModule R B]
variable [FunLike F A B] [NonUnitalAlgHomClass F R A B] [NonUnitalStarAlgHomClass F R A B]
open scoped Pointwise
open NonUnitalStarSubalgebra
variable (R)
/-- The minimal non-unital subalgebra that includes `s`. -/
def adjoin (s : Set A) : NonUnitalStarSubalgebra R A where
toNonUnitalSubalgebra := NonUnitalAlgebra.adjoin R (s ∪ star s)
star_mem' _ := by
rwa [NonUnitalSubalgebra.mem_carrier, ← NonUnitalSubalgebra.mem_star_iff,
NonUnitalSubalgebra.star_adjoin_comm, Set.union_star, star_star, Set.union_comm]
theorem adjoin_eq_starClosure_adjoin (s : Set A) :
adjoin R s = (NonUnitalAlgebra.adjoin R s).starClosure :=
toNonUnitalSubalgebra_injective <| show
NonUnitalAlgebra.adjoin R (s ∪ star s) =
NonUnitalAlgebra.adjoin R s ⊔ star (NonUnitalAlgebra.adjoin R s)
from
(NonUnitalSubalgebra.star_adjoin_comm R s).symm ▸ NonUnitalAlgebra.adjoin_union s (star s)
theorem adjoin_toNonUnitalSubalgebra (s : Set A) :
(adjoin R s).toNonUnitalSubalgebra = NonUnitalAlgebra.adjoin R (s ∪ star s) :=
rfl
@[aesop safe 20 apply (rule_sets := [SetLike])]
theorem subset_adjoin (s : Set A) : s ⊆ adjoin R s :=
Set.subset_union_left.trans <| NonUnitalAlgebra.subset_adjoin R
theorem star_subset_adjoin (s : Set A) : star s ⊆ adjoin R s :=
Set.subset_union_right.trans <| NonUnitalAlgebra.subset_adjoin R
theorem self_mem_adjoin_singleton (x : A) : x ∈ adjoin R ({x} : Set A) :=
NonUnitalAlgebra.subset_adjoin R <| Set.mem_union_left _ (Set.mem_singleton x)
theorem star_self_mem_adjoin_singleton (x : A) : star x ∈ adjoin R ({x} : Set A) :=
star_mem <| self_mem_adjoin_singleton R x
@[elab_as_elim]
lemma adjoin_induction' {s : Set A} {p : ∀ x, x ∈ adjoin R s → Prop} {a : A}
(ha : a ∈ adjoin R s) (mem : ∀ (x : A) (hx : x ∈ s), p x (subset_adjoin R s hx))
(add : ∀ x hx y hy, p x hx → p y hy → p (x + y) (add_mem hx hy))
(zero : p 0 (zero_mem _)) (mul : ∀ x hx y hy, p x hx → p y hy → p (x * y) (mul_mem hx hy))
(smul : ∀ (r : R) x hx, p x hx → p (r • x) (SMulMemClass.smul_mem r hx))
(star : ∀ x hx, p x hx → p (star x) (star_mem hx)) : p a ha := by
refine NonUnitalAlgebra.adjoin_induction' (fun x hx ↦ ?_) add zero mul smul ha
simp only [Set.mem_union, Set.mem_star] at hx
obtain (hx | hx) := hx
· exact mem x hx
· simpa using star _ (NonUnitalAlgebra.subset_adjoin R (by simpa using Or.inl hx)) (mem _ hx)
variable {R}
protected theorem gc : GaloisConnection (adjoin R : Set A → NonUnitalStarSubalgebra R A) (↑) := by
intro s S
rw [← toNonUnitalSubalgebra_le_iff, adjoin_toNonUnitalSubalgebra,
NonUnitalAlgebra.adjoin_le_iff, coe_toNonUnitalSubalgebra]
exact ⟨fun h => Set.subset_union_left.trans h,
fun h => Set.union_subset h fun x hx => star_star x ▸ star_mem (show star x ∈ S from h hx)⟩
/-- Galois insertion between `adjoin` and `Subtype.val`. -/
protected def gi : GaloisInsertion (adjoin R : Set A → NonUnitalStarSubalgebra R A) (↑) where
choice s hs := (adjoin R s).copy s <| le_antisymm (NonUnitalStarAlgebra.gc.le_u_l s) hs
gc := NonUnitalStarAlgebra.gc
le_l_u S := (NonUnitalStarAlgebra.gc (S : Set A) (adjoin R S)).1 <| le_rfl
choice_eq _ _ := NonUnitalStarSubalgebra.copy_eq _ _ _
theorem adjoin_le {S : NonUnitalStarSubalgebra R A} {s : Set A} (hs : s ⊆ S) : adjoin R s ≤ S :=
NonUnitalStarAlgebra.gc.l_le hs
theorem adjoin_le_iff {S : NonUnitalStarSubalgebra R A} {s : Set A} : adjoin R s ≤ S ↔ s ⊆ S :=
NonUnitalStarAlgebra.gc _ _
lemma adjoin_eq (s : NonUnitalStarSubalgebra R A) : adjoin R (s : Set A) = s :=
le_antisymm (adjoin_le le_rfl) (subset_adjoin R (s : Set A))
lemma adjoin_eq_span (s : Set A) :
(adjoin R s).toSubmodule = Submodule.span R (Subsemigroup.closure (s ∪ star s)) := by
rw [adjoin_toNonUnitalSubalgebra, NonUnitalAlgebra.adjoin_eq_span]
@[simp]
lemma span_eq_toSubmodule (s : NonUnitalStarSubalgebra R A) :
Submodule.span R (s : Set A) = s.toSubmodule := by
simp [SetLike.ext'_iff, Submodule.coe_span_eq_self]
theorem _root_.NonUnitalSubalgebra.starClosure_eq_adjoin (S : NonUnitalSubalgebra R A) :
S.starClosure = adjoin R (S : Set A) :=
le_antisymm (NonUnitalSubalgebra.starClosure_le_iff.2 <| subset_adjoin R (S : Set A))
(adjoin_le (le_sup_left : S ≤ S ⊔ star S))
instance : CompleteLattice (NonUnitalStarSubalgebra R A) :=
GaloisInsertion.liftCompleteLattice NonUnitalStarAlgebra.gi
@[simp]
theorem coe_top : ((⊤ : NonUnitalStarSubalgebra R A) : Set A) = Set.univ :=
rfl
@[simp]
theorem mem_top {x : A} : x ∈ (⊤ : NonUnitalStarSubalgebra R A) :=
Set.mem_univ x
@[simp]
| Mathlib/Algebra/Star/NonUnitalSubalgebra.lean | 710 | 711 | theorem top_toNonUnitalSubalgebra :
(⊤ : NonUnitalStarSubalgebra R A).toNonUnitalSubalgebra = ⊤ := by | ext; simp
|
/-
Copyright (c) 2021 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov
-/
import Mathlib.Analysis.BoxIntegral.Partition.SubboxInduction
import Mathlib.Analysis.BoxIntegral.Partition.Split
#align_import analysis.box_integral.partition.filter from "leanprover-community/mathlib"@"92ca63f0fb391a9ca5f22d2409a6080e786d99f7"
/-!
# Filters used in box-based integrals
First we define a structure `BoxIntegral.IntegrationParams`. This structure will be used as an
argument in the definition of `BoxIntegral.integral` in order to use the same definition for a few
well-known definitions of integrals based on partitions of a rectangular box into subboxes (Riemann
integral, Henstock-Kurzweil integral, and McShane integral).
This structure holds three boolean values (see below), and encodes eight different sets of
parameters; only four of these values are used somewhere in `mathlib4`. Three of them correspond to
the integration theories listed above, and one is a generalization of the one-dimensional
Henstock-Kurzweil integral such that the divergence theorem works without additional integrability
assumptions.
Finally, for each set of parameters `l : BoxIntegral.IntegrationParams` and a rectangular box
`I : BoxIntegral.Box ι`, we define several `Filter`s that will be used either in the definition of
the corresponding integral, or in the proofs of its properties. We equip
`BoxIntegral.IntegrationParams` with a `BoundedOrder` structure such that larger
`IntegrationParams` produce larger filters.
## Main definitions
### Integration parameters
The structure `BoxIntegral.IntegrationParams` has 3 boolean fields with the following meaning:
* `bRiemann`: the value `true` means that the filter corresponds to a Riemann-style integral, i.e.
in the definition of integrability we require a constant upper estimate `r` on the size of boxes
of a tagged partition; the value `false` means that the estimate may depend on the position of the
tag.
* `bHenstock`: the value `true` means that we require that each tag belongs to its own closed box;
the value `false` means that we only require that tags belong to the ambient box.
* `bDistortion`: the value `true` means that `r` can depend on the maximal ratio of sides of the
same box of a partition. Presence of this case make quite a few proofs harder but we can prove the
divergence theorem only for the filter `BoxIntegral.IntegrationParams.GP = ⊥ =
{bRiemann := false, bHenstock := true, bDistortion := true}`.
### Well-known sets of parameters
Out of eight possible values of `BoxIntegral.IntegrationParams`, the following four are used in
the library.
* `BoxIntegral.IntegrationParams.Riemann` (`bRiemann = true`, `bHenstock = true`,
`bDistortion = false`): this value corresponds to the Riemann integral; in the corresponding
filter, we require that the diameters of all boxes `J` of a tagged partition are bounded from
above by a constant upper estimate that may not depend on the geometry of `J`, and each tag
belongs to the corresponding closed box.
* `BoxIntegral.IntegrationParams.Henstock` (`bRiemann = false`, `bHenstock = true`,
`bDistortion = false`): this value corresponds to the most natural generalization of
Henstock-Kurzweil integral to higher dimension; the only (but important!) difference between this
theory and Riemann integral is that instead of a constant upper estimate on the size of all boxes
of a partition, we require that the partition is *subordinate* to a possibly discontinuous
function `r : (ι → ℝ) → {x : ℝ | 0 < x}`, i.e. each box `J` is included in a closed ball with
center `π.tag J` and radius `r J`.
* `BoxIntegral.IntegrationParams.McShane` (`bRiemann = false`, `bHenstock = false`,
`bDistortion = false`): this value corresponds to the McShane integral; the only difference with
the Henstock integral is that we allow tags to be outside of their boxes; the tags still have to
be in the ambient closed box, and the partition still has to be subordinate to a function.
* `BoxIntegral.IntegrationParams.GP = ⊥` (`bRiemann = false`, `bHenstock = true`,
`bDistortion = true`): this is the least integration theory in our list, i.e., all functions
integrable in any other theory is integrable in this one as well. This is a non-standard
generalization of the Henstock-Kurzweil integral to higher dimension. In dimension one, it
generates the same filter as `Henstock`. In higher dimension, this generalization defines an
integration theory such that the divergence of any Fréchet differentiable function `f` is
integrable, and its integral is equal to the sum of integrals of `f` over the faces of the box,
taken with appropriate signs.
A function `f` is `GP`-integrable if for any `ε > 0` and `c : ℝ≥0` there exists
`r : (ι → ℝ) → {x : ℝ | 0 < x}` such that for any tagged partition `π` subordinate to `r`, if each
tag belongs to the corresponding closed box and for each box `J ∈ π`, the maximal ratio of its
sides is less than or equal to `c`, then the integral sum of `f` over `π` is `ε`-close to the
integral.
### Filters and predicates on `TaggedPrepartition I`
For each value of `IntegrationParams` and a rectangular box `I`, we define a few filters on
`TaggedPrepartition I`. First, we define a predicate
```
structure BoxIntegral.IntegrationParams.MemBaseSet (l : BoxIntegral.IntegrationParams)
(I : BoxIntegral.Box ι) (c : ℝ≥0) (r : (ι → ℝ) → Ioi (0 : ℝ))
(π : BoxIntegral.TaggedPrepartition I) : Prop where
```
This predicate says that
* if `l.bHenstock`, then `π` is a Henstock prepartition, i.e. each tag belongs to the corresponding
closed box;
* `π` is subordinate to `r`;
* if `l.bDistortion`, then the distortion of each box in `π` is less than or equal to `c`;
* if `l.bDistortion`, then there exists a prepartition `π'` with distortion `≤ c` that covers
exactly `I \ π.iUnion`.
The last condition is always true for `c > 1`, see TODO section for more details.
Then we define a predicate `BoxIntegral.IntegrationParams.RCond` on functions
`r : (ι → ℝ) → {x : ℝ | 0 < x}`. If `l.bRiemann`, then this predicate requires `r` to be a constant
function, otherwise it imposes no restrictions on `r`. We introduce this definition to prove a few
dot-notation lemmas: e.g., `BoxIntegral.IntegrationParams.RCond.min` says that the pointwise
minimum of two functions that satisfy this condition satisfies this condition as well.
Then we define four filters on `BoxIntegral.TaggedPrepartition I`.
* `BoxIntegral.IntegrationParams.toFilterDistortion`: an auxiliary filter that takes parameters
`(l : BoxIntegral.IntegrationParams) (I : BoxIntegral.Box ι) (c : ℝ≥0)` and returns the
filter generated by all sets `{π | MemBaseSet l I c r π}`, where `r` is a function satisfying
the predicate `BoxIntegral.IntegrationParams.RCond l`;
* `BoxIntegral.IntegrationParams.toFilter l I`: the supremum of `l.toFilterDistortion I c`
over all `c : ℝ≥0`;
* `BoxIntegral.IntegrationParams.toFilterDistortioniUnion l I c π₀`, where `π₀` is a
prepartition of `I`: the infimum of `l.toFilterDistortion I c` and the principal filter
generated by `{π | π.iUnion = π₀.iUnion}`;
* `BoxIntegral.IntegrationParams.toFilteriUnion l I π₀`: the supremum of
`l.toFilterDistortioniUnion l I c π₀` over all `c : ℝ≥0`. This is the filter (in the case
`π₀ = ⊤` is the one-box partition of `I`) used in the definition of the integral of a function
over a box.
## Implementation details
* Later we define the integral of a function over a rectangular box as the limit (if it exists) of
the integral sums along `BoxIntegral.IntegrationParams.toFilteriUnion l I ⊤`. While it is
possible to define the integral with a general filter on `BoxIntegral.TaggedPrepartition I` as a
parameter, many lemmas (e.g., Sacks-Henstock lemma and most results about integrability of
functions) require the filter to have a predictable structure. So, instead of adding assumptions
about the filter here and there, we define this auxiliary type that can encode all integration
theories we need in practice.
* While the definition of the integral only uses the filter
`BoxIntegral.IntegrationParams.toFilteriUnion l I ⊤` and partitions of a box, some lemmas
(e.g., the Henstock-Sacks lemmas) are best formulated in terms of the predicate `MemBaseSet` and
other filters defined above.
* We use `Bool` instead of `Prop` for the fields of `IntegrationParams` in order to have decidable
equality and inequalities.
## TODO
Currently, `BoxIntegral.IntegrationParams.MemBaseSet` explicitly requires that there exists a
partition of the complement `I \ π.iUnion` with distortion `≤ c`. For `c > 1`, this condition is
always true but the proof of this fact requires more API about
`BoxIntegral.Prepartition.splitMany`. We should formalize this fact, then either require `c > 1`
everywhere, or replace `≤ c` with `< c` so that we automatically get `c > 1` for a non-trivial
prepartition (and consider the special case `π = ⊥` separately if needed).
## Tags
integral, rectangular box, partition, filter
-/
open Set Function Filter Metric Finset Bool
open scoped Classical
open Topology Filter NNReal
noncomputable section
namespace BoxIntegral
variable {ι : Type*} [Fintype ι] {I J : Box ι} {c c₁ c₂ : ℝ≥0} {r r₁ r₂ : (ι → ℝ) → Ioi (0 : ℝ)}
{π π₁ π₂ : TaggedPrepartition I}
open TaggedPrepartition
/-- An `IntegrationParams` is a structure holding 3 boolean values used to define a filter to be
used in the definition of a box-integrable function.
* `bRiemann`: the value `true` means that the filter corresponds to a Riemann-style integral, i.e.
in the definition of integrability we require a constant upper estimate `r` on the size of boxes
of a tagged partition; the value `false` means that the estimate may depend on the position of the
tag.
* `bHenstock`: the value `true` means that we require that each tag belongs to its own closed box;
the value `false` means that we only require that tags belong to the ambient box.
* `bDistortion`: the value `true` means that `r` can depend on the maximal ratio of sides of the
same box of a partition. Presence of this case makes quite a few proofs harder but we can prove
the divergence theorem only for the filter `BoxIntegral.IntegrationParams.GP = ⊥ =
{bRiemann := false, bHenstock := true, bDistortion := true}`.
-/
@[ext]
structure IntegrationParams : Type where
(bRiemann bHenstock bDistortion : Bool)
#align box_integral.integration_params BoxIntegral.IntegrationParams
variable {l l₁ l₂ : IntegrationParams}
namespace IntegrationParams
/-- Auxiliary equivalence with a product type used to lift an order. -/
def equivProd : IntegrationParams ≃ Bool × Boolᵒᵈ × Boolᵒᵈ where
toFun l := ⟨l.1, OrderDual.toDual l.2, OrderDual.toDual l.3⟩
invFun l := ⟨l.1, OrderDual.ofDual l.2.1, OrderDual.ofDual l.2.2⟩
left_inv _ := rfl
right_inv _ := rfl
#align box_integral.integration_params.equiv_prod BoxIntegral.IntegrationParams.equivProd
instance : PartialOrder IntegrationParams :=
PartialOrder.lift equivProd equivProd.injective
/-- Auxiliary `OrderIso` with a product type used to lift a `BoundedOrder` structure. -/
def isoProd : IntegrationParams ≃o Bool × Boolᵒᵈ × Boolᵒᵈ :=
⟨equivProd, Iff.rfl⟩
#align box_integral.integration_params.iso_prod BoxIntegral.IntegrationParams.isoProd
instance : BoundedOrder IntegrationParams :=
isoProd.symm.toGaloisInsertion.liftBoundedOrder
/-- The value `BoxIntegral.IntegrationParams.GP = ⊥`
(`bRiemann = false`, `bHenstock = true`, `bDistortion = true`)
corresponds to a generalization of the Henstock integral such that the Divergence theorem holds true
without additional integrability assumptions, see the module docstring for details. -/
instance : Inhabited IntegrationParams :=
⟨⊥⟩
instance : DecidableRel ((· ≤ ·) : IntegrationParams → IntegrationParams → Prop) :=
fun _ _ => And.decidable
instance : DecidableEq IntegrationParams :=
fun x y => decidable_of_iff _ (IntegrationParams.ext_iff x y).symm
/-- The `BoxIntegral.IntegrationParams` corresponding to the Riemann integral. In the
corresponding filter, we require that the diameters of all boxes `J` of a tagged partition are
bounded from above by a constant upper estimate that may not depend on the geometry of `J`, and each
tag belongs to the corresponding closed box. -/
def Riemann : IntegrationParams where
bRiemann := true
bHenstock := true
bDistortion := false
set_option linter.uppercaseLean3 false in
#align box_integral.integration_params.Riemann BoxIntegral.IntegrationParams.Riemann
/-- The `BoxIntegral.IntegrationParams` corresponding to the Henstock-Kurzweil integral. In the
corresponding filter, we require that the tagged partition is subordinate to a (possibly,
discontinuous) positive function `r` and each tag belongs to the corresponding closed box. -/
def Henstock : IntegrationParams :=
⟨false, true, false⟩
set_option linter.uppercaseLean3 false in
#align box_integral.integration_params.Henstock BoxIntegral.IntegrationParams.Henstock
/-- The `BoxIntegral.IntegrationParams` corresponding to the McShane integral. In the
corresponding filter, we require that the tagged partition is subordinate to a (possibly,
discontinuous) positive function `r`; the tags may be outside of the corresponding closed box
(but still inside the ambient closed box `I.Icc`). -/
def McShane : IntegrationParams :=
⟨false, false, false⟩
set_option linter.uppercaseLean3 false in
#align box_integral.integration_params.McShane BoxIntegral.IntegrationParams.McShane
/-- The `BoxIntegral.IntegrationParams` corresponding to the generalized Perron integral. In the
corresponding filter, we require that the tagged partition is subordinate to a (possibly,
discontinuous) positive function `r` and each tag belongs to the corresponding closed box. We also
require an upper estimate on the distortion of all boxes of the partition. -/
def GP : IntegrationParams := ⊥
set_option linter.uppercaseLean3 false in
#align box_integral.integration_params.GP BoxIntegral.IntegrationParams.GP
theorem henstock_le_riemann : Henstock ≤ Riemann := by trivial
set_option linter.uppercaseLean3 false in
#align box_integral.integration_params.Henstock_le_Riemann BoxIntegral.IntegrationParams.henstock_le_riemann
theorem henstock_le_mcShane : Henstock ≤ McShane := by trivial
set_option linter.uppercaseLean3 false in
#align box_integral.integration_params.Henstock_le_McShane BoxIntegral.IntegrationParams.henstock_le_mcShane
theorem gp_le : GP ≤ l :=
bot_le
set_option linter.uppercaseLean3 false in
#align box_integral.integration_params.GP_le BoxIntegral.IntegrationParams.gp_le
/-- The predicate corresponding to a base set of the filter defined by an
`IntegrationParams`. It says that
* if `l.bHenstock`, then `π` is a Henstock prepartition, i.e. each tag belongs to the corresponding
closed box;
* `π` is subordinate to `r`;
* if `l.bDistortion`, then the distortion of each box in `π` is less than or equal to `c`;
* if `l.bDistortion`, then there exists a prepartition `π'` with distortion `≤ c` that covers
exactly `I \ π.iUnion`.
The last condition is automatically verified for partitions, and is used in the proof of the
Sacks-Henstock inequality to compare two prepartitions covering the same part of the box.
It is also automatically satisfied for any `c > 1`, see TODO section of the module docstring for
details. -/
structure MemBaseSet (l : IntegrationParams) (I : Box ι) (c : ℝ≥0) (r : (ι → ℝ) → Ioi (0 : ℝ))
(π : TaggedPrepartition I) : Prop where
protected isSubordinate : π.IsSubordinate r
protected isHenstock : l.bHenstock → π.IsHenstock
protected distortion_le : l.bDistortion → π.distortion ≤ c
protected exists_compl : l.bDistortion → ∃ π' : Prepartition I,
π'.iUnion = ↑I \ π.iUnion ∧ π'.distortion ≤ c
#align box_integral.integration_params.mem_base_set BoxIntegral.IntegrationParams.MemBaseSet
/-- A predicate saying that in case `l.bRiemann = true`, the function `r` is a constant. -/
def RCond {ι : Type*} (l : IntegrationParams) (r : (ι → ℝ) → Ioi (0 : ℝ)) : Prop :=
l.bRiemann → ∀ x, r x = r 0
#align box_integral.integration_params.r_cond BoxIntegral.IntegrationParams.RCond
/-- A set `s : Set (TaggedPrepartition I)` belongs to `l.toFilterDistortion I c` if there exists
a function `r : ℝⁿ → (0, ∞)` (or a constant `r` if `l.bRiemann = true`) such that `s` contains each
prepartition `π` such that `l.MemBaseSet I c r π`. -/
def toFilterDistortion (l : IntegrationParams) (I : Box ι) (c : ℝ≥0) :
Filter (TaggedPrepartition I) :=
⨅ (r : (ι → ℝ) → Ioi (0 : ℝ)) (_ : l.RCond r), 𝓟 { π | l.MemBaseSet I c r π }
#align box_integral.integration_params.to_filter_distortion BoxIntegral.IntegrationParams.toFilterDistortion
/-- A set `s : Set (TaggedPrepartition I)` belongs to `l.toFilter I` if for any `c : ℝ≥0` there
exists a function `r : ℝⁿ → (0, ∞)` (or a constant `r` if `l.bRiemann = true`) such that
`s` contains each prepartition `π` such that `l.MemBaseSet I c r π`. -/
def toFilter (l : IntegrationParams) (I : Box ι) : Filter (TaggedPrepartition I) :=
⨆ c : ℝ≥0, l.toFilterDistortion I c
#align box_integral.integration_params.to_filter BoxIntegral.IntegrationParams.toFilter
/-- A set `s : Set (TaggedPrepartition I)` belongs to `l.toFilterDistortioniUnion I c π₀` if
there exists a function `r : ℝⁿ → (0, ∞)` (or a constant `r` if `l.bRiemann = true`) such that `s`
contains each prepartition `π` such that `l.MemBaseSet I c r π` and `π.iUnion = π₀.iUnion`. -/
def toFilterDistortioniUnion (l : IntegrationParams) (I : Box ι) (c : ℝ≥0) (π₀ : Prepartition I) :=
l.toFilterDistortion I c ⊓ 𝓟 { π | π.iUnion = π₀.iUnion }
#align box_integral.integration_params.to_filter_distortion_Union BoxIntegral.IntegrationParams.toFilterDistortioniUnion
/-- A set `s : Set (TaggedPrepartition I)` belongs to `l.toFilteriUnion I π₀` if for any `c : ℝ≥0`
there exists a function `r : ℝⁿ → (0, ∞)` (or a constant `r` if `l.bRiemann = true`) such that `s`
contains each prepartition `π` such that `l.MemBaseSet I c r π` and `π.iUnion = π₀.iUnion`. -/
def toFilteriUnion (l : IntegrationParams) (I : Box ι) (π₀ : Prepartition I) :=
⨆ c : ℝ≥0, l.toFilterDistortioniUnion I c π₀
#align box_integral.integration_params.to_filter_Union BoxIntegral.IntegrationParams.toFilteriUnion
theorem rCond_of_bRiemann_eq_false {ι} (l : IntegrationParams) (hl : l.bRiemann = false)
{r : (ι → ℝ) → Ioi (0 : ℝ)} : l.RCond r := by
simp [RCond, hl]
set_option linter.uppercaseLean3 false in
#align box_integral.integration_params.r_cond_of_bRiemann_eq_ff BoxIntegral.IntegrationParams.rCond_of_bRiemann_eq_false
theorem toFilter_inf_iUnion_eq (l : IntegrationParams) (I : Box ι) (π₀ : Prepartition I) :
l.toFilter I ⊓ 𝓟 { π | π.iUnion = π₀.iUnion } = l.toFilteriUnion I π₀ :=
(iSup_inf_principal _ _).symm
#align box_integral.integration_params.to_filter_inf_Union_eq BoxIntegral.IntegrationParams.toFilter_inf_iUnion_eq
theorem MemBaseSet.mono' (I : Box ι) (h : l₁ ≤ l₂) (hc : c₁ ≤ c₂) {π : TaggedPrepartition I}
(hr : ∀ J ∈ π, r₁ (π.tag J) ≤ r₂ (π.tag J)) (hπ : l₁.MemBaseSet I c₁ r₁ π) :
l₂.MemBaseSet I c₂ r₂ π :=
⟨hπ.1.mono' hr, fun h₂ => hπ.2 (le_iff_imp.1 h.2.1 h₂),
fun hD => (hπ.3 (le_iff_imp.1 h.2.2 hD)).trans hc,
fun hD => (hπ.4 (le_iff_imp.1 h.2.2 hD)).imp fun _ hπ => ⟨hπ.1, hπ.2.trans hc⟩⟩
#align box_integral.integration_params.mem_base_set.mono' BoxIntegral.IntegrationParams.MemBaseSet.mono'
@[mono]
theorem MemBaseSet.mono (I : Box ι) (h : l₁ ≤ l₂) (hc : c₁ ≤ c₂) {π : TaggedPrepartition I}
(hr : ∀ x ∈ Box.Icc I, r₁ x ≤ r₂ x) (hπ : l₁.MemBaseSet I c₁ r₁ π) : l₂.MemBaseSet I c₂ r₂ π :=
hπ.mono' I h hc fun J _ => hr _ <| π.tag_mem_Icc J
#align box_integral.integration_params.mem_base_set.mono BoxIntegral.IntegrationParams.MemBaseSet.mono
theorem MemBaseSet.exists_common_compl (h₁ : l.MemBaseSet I c₁ r₁ π₁) (h₂ : l.MemBaseSet I c₂ r₂ π₂)
(hU : π₁.iUnion = π₂.iUnion) :
∃ π : Prepartition I, π.iUnion = ↑I \ π₁.iUnion ∧
(l.bDistortion → π.distortion ≤ c₁) ∧ (l.bDistortion → π.distortion ≤ c₂) := by
wlog hc : c₁ ≤ c₂ with H
· simpa [hU, _root_.and_comm] using
@H _ _ I J c c₂ c₁ r r₂ r₁ π π₂ π₁ _ l₂ l₁ h₂ h₁ hU.symm (le_of_not_le hc)
by_cases hD : (l.bDistortion : Prop)
· rcases h₁.4 hD with ⟨π, hπU, hπc⟩
exact ⟨π, hπU, fun _ => hπc, fun _ => hπc.trans hc⟩
· exact ⟨π₁.toPrepartition.compl, π₁.toPrepartition.iUnion_compl,
fun h => (hD h).elim, fun h => (hD h).elim⟩
#align box_integral.integration_params.mem_base_set.exists_common_compl BoxIntegral.IntegrationParams.MemBaseSet.exists_common_compl
protected theorem MemBaseSet.unionComplToSubordinate (hπ₁ : l.MemBaseSet I c r₁ π₁)
(hle : ∀ x ∈ Box.Icc I, r₂ x ≤ r₁ x) {π₂ : Prepartition I} (hU : π₂.iUnion = ↑I \ π₁.iUnion)
(hc : l.bDistortion → π₂.distortion ≤ c) :
l.MemBaseSet I c r₁ (π₁.unionComplToSubordinate π₂ hU r₂) :=
⟨hπ₁.1.disjUnion ((π₂.isSubordinate_toSubordinate r₂).mono hle) _,
fun h => (hπ₁.2 h).disjUnion (π₂.isHenstock_toSubordinate _) _,
fun h => (distortion_unionComplToSubordinate _ _ _ _).trans_le (max_le (hπ₁.3 h) (hc h)),
fun _ => ⟨⊥, by simp⟩⟩
#align box_integral.integration_params.mem_base_set.union_compl_to_subordinate BoxIntegral.IntegrationParams.MemBaseSet.unionComplToSubordinate
protected theorem MemBaseSet.filter (hπ : l.MemBaseSet I c r π) (p : Box ι → Prop) :
l.MemBaseSet I c r (π.filter p) := by
refine ⟨fun J hJ => hπ.1 J (π.mem_filter.1 hJ).1, fun hH J hJ => hπ.2 hH J (π.mem_filter.1 hJ).1,
fun hD => (distortion_filter_le _ _).trans (hπ.3 hD), fun hD => ?_⟩
rcases hπ.4 hD with ⟨π₁, hπ₁U, hc⟩
set π₂ := π.filter fun J => ¬p J
have : Disjoint π₁.iUnion π₂.iUnion := by
simpa [π₂, hπ₁U] using disjoint_sdiff_self_left.mono_right sdiff_le
refine ⟨π₁.disjUnion π₂.toPrepartition this, ?_, ?_⟩
· suffices ↑I \ π.iUnion ∪ π.iUnion \ (π.filter p).iUnion = ↑I \ (π.filter p).iUnion by
simp [π₂, *]
have h : (π.filter p).iUnion ⊆ π.iUnion :=
biUnion_subset_biUnion_left (Finset.filter_subset _ _)
ext x
fconstructor
· rintro (⟨hxI, hxπ⟩ | ⟨hxπ, hxp⟩)
exacts [⟨hxI, mt (@h x) hxπ⟩, ⟨π.iUnion_subset hxπ, hxp⟩]
· rintro ⟨hxI, hxp⟩
by_cases hxπ : x ∈ π.iUnion
exacts [Or.inr ⟨hxπ, hxp⟩, Or.inl ⟨hxI, hxπ⟩]
· have : (π.filter fun J => ¬p J).distortion ≤ c := (distortion_filter_le _ _).trans (hπ.3 hD)
simpa [hc]
#align box_integral.integration_params.mem_base_set.filter BoxIntegral.IntegrationParams.MemBaseSet.filter
| Mathlib/Analysis/BoxIntegral/Partition/Filter.lean | 420 | 430 | theorem biUnionTagged_memBaseSet {π : Prepartition I} {πi : ∀ J, TaggedPrepartition J}
(h : ∀ J ∈ π, l.MemBaseSet J c r (πi J)) (hp : ∀ J ∈ π, (πi J).IsPartition)
(hc : l.bDistortion → π.compl.distortion ≤ c) : l.MemBaseSet I c r (π.biUnionTagged πi) := by |
refine ⟨TaggedPrepartition.isSubordinate_biUnionTagged.2 fun J hJ => (h J hJ).1,
fun hH => TaggedPrepartition.isHenstock_biUnionTagged.2 fun J hJ => (h J hJ).2 hH,
fun hD => ?_, fun hD => ?_⟩
· rw [Prepartition.distortion_biUnionTagged, Finset.sup_le_iff]
exact fun J hJ => (h J hJ).3 hD
· refine ⟨_, ?_, hc hD⟩
rw [π.iUnion_compl, ← π.iUnion_biUnion_partition hp]
rfl
|
/-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Mario Carneiro, Patrick Massot
-/
import Mathlib.GroupTheory.GroupAction.ConjAct
import Mathlib.GroupTheory.GroupAction.Quotient
import Mathlib.GroupTheory.QuotientGroup
import Mathlib.Topology.Algebra.Monoid
import Mathlib.Topology.Algebra.Constructions
#align_import topology.algebra.group.basic from "leanprover-community/mathlib"@"3b1890e71632be9e3b2086ab512c3259a7e9a3ef"
/-!
# Topological groups
This file defines the following typeclasses:
* `TopologicalGroup`, `TopologicalAddGroup`: multiplicative and additive topological groups,
i.e., groups with continuous `(*)` and `(⁻¹)` / `(+)` and `(-)`;
* `ContinuousSub G` means that `G` has a continuous subtraction operation.
There is an instance deducing `ContinuousSub` from `TopologicalGroup` but we use a separate
typeclass because, e.g., `ℕ` and `ℝ≥0` have continuous subtraction but are not additive groups.
We also define `Homeomorph` versions of several `Equiv`s: `Homeomorph.mulLeft`,
`Homeomorph.mulRight`, `Homeomorph.inv`, and prove a few facts about neighbourhood filters in
groups.
## Tags
topological space, group, topological group
-/
open scoped Classical
open Set Filter TopologicalSpace Function Topology Pointwise MulOpposite
universe u v w x
variable {G : Type w} {H : Type x} {α : Type u} {β : Type v}
section ContinuousMulGroup
/-!
### Groups with continuous multiplication
In this section we prove a few statements about groups with continuous `(*)`.
-/
variable [TopologicalSpace G] [Group G] [ContinuousMul G]
/-- Multiplication from the left in a topological group as a homeomorphism. -/
@[to_additive "Addition from the left in a topological additive group as a homeomorphism."]
protected def Homeomorph.mulLeft (a : G) : G ≃ₜ G :=
{ Equiv.mulLeft a with
continuous_toFun := continuous_const.mul continuous_id
continuous_invFun := continuous_const.mul continuous_id }
#align homeomorph.mul_left Homeomorph.mulLeft
#align homeomorph.add_left Homeomorph.addLeft
@[to_additive (attr := simp)]
theorem Homeomorph.coe_mulLeft (a : G) : ⇑(Homeomorph.mulLeft a) = (a * ·) :=
rfl
#align homeomorph.coe_mul_left Homeomorph.coe_mulLeft
#align homeomorph.coe_add_left Homeomorph.coe_addLeft
@[to_additive]
theorem Homeomorph.mulLeft_symm (a : G) : (Homeomorph.mulLeft a).symm = Homeomorph.mulLeft a⁻¹ := by
ext
rfl
#align homeomorph.mul_left_symm Homeomorph.mulLeft_symm
#align homeomorph.add_left_symm Homeomorph.addLeft_symm
@[to_additive]
lemma isOpenMap_mul_left (a : G) : IsOpenMap (a * ·) := (Homeomorph.mulLeft a).isOpenMap
#align is_open_map_mul_left isOpenMap_mul_left
#align is_open_map_add_left isOpenMap_add_left
@[to_additive IsOpen.left_addCoset]
theorem IsOpen.leftCoset {U : Set G} (h : IsOpen U) (x : G) : IsOpen (x • U) :=
isOpenMap_mul_left x _ h
#align is_open.left_coset IsOpen.leftCoset
#align is_open.left_add_coset IsOpen.left_addCoset
@[to_additive]
lemma isClosedMap_mul_left (a : G) : IsClosedMap (a * ·) := (Homeomorph.mulLeft a).isClosedMap
#align is_closed_map_mul_left isClosedMap_mul_left
#align is_closed_map_add_left isClosedMap_add_left
@[to_additive IsClosed.left_addCoset]
theorem IsClosed.leftCoset {U : Set G} (h : IsClosed U) (x : G) : IsClosed (x • U) :=
isClosedMap_mul_left x _ h
#align is_closed.left_coset IsClosed.leftCoset
#align is_closed.left_add_coset IsClosed.left_addCoset
/-- Multiplication from the right in a topological group as a homeomorphism. -/
@[to_additive "Addition from the right in a topological additive group as a homeomorphism."]
protected def Homeomorph.mulRight (a : G) : G ≃ₜ G :=
{ Equiv.mulRight a with
continuous_toFun := continuous_id.mul continuous_const
continuous_invFun := continuous_id.mul continuous_const }
#align homeomorph.mul_right Homeomorph.mulRight
#align homeomorph.add_right Homeomorph.addRight
@[to_additive (attr := simp)]
lemma Homeomorph.coe_mulRight (a : G) : ⇑(Homeomorph.mulRight a) = (· * a) := rfl
#align homeomorph.coe_mul_right Homeomorph.coe_mulRight
#align homeomorph.coe_add_right Homeomorph.coe_addRight
@[to_additive]
theorem Homeomorph.mulRight_symm (a : G) :
(Homeomorph.mulRight a).symm = Homeomorph.mulRight a⁻¹ := by
ext
rfl
#align homeomorph.mul_right_symm Homeomorph.mulRight_symm
#align homeomorph.add_right_symm Homeomorph.addRight_symm
@[to_additive]
theorem isOpenMap_mul_right (a : G) : IsOpenMap (· * a) :=
(Homeomorph.mulRight a).isOpenMap
#align is_open_map_mul_right isOpenMap_mul_right
#align is_open_map_add_right isOpenMap_add_right
@[to_additive IsOpen.right_addCoset]
theorem IsOpen.rightCoset {U : Set G} (h : IsOpen U) (x : G) : IsOpen (op x • U) :=
isOpenMap_mul_right x _ h
#align is_open.right_coset IsOpen.rightCoset
#align is_open.right_add_coset IsOpen.right_addCoset
@[to_additive]
theorem isClosedMap_mul_right (a : G) : IsClosedMap (· * a) :=
(Homeomorph.mulRight a).isClosedMap
#align is_closed_map_mul_right isClosedMap_mul_right
#align is_closed_map_add_right isClosedMap_add_right
@[to_additive IsClosed.right_addCoset]
theorem IsClosed.rightCoset {U : Set G} (h : IsClosed U) (x : G) : IsClosed (op x • U) :=
isClosedMap_mul_right x _ h
#align is_closed.right_coset IsClosed.rightCoset
#align is_closed.right_add_coset IsClosed.right_addCoset
@[to_additive]
theorem discreteTopology_of_isOpen_singleton_one (h : IsOpen ({1} : Set G)) :
DiscreteTopology G := by
rw [← singletons_open_iff_discrete]
intro g
suffices {g} = (g⁻¹ * ·) ⁻¹' {1} by
rw [this]
exact (continuous_mul_left g⁻¹).isOpen_preimage _ h
simp only [mul_one, Set.preimage_mul_left_singleton, eq_self_iff_true, inv_inv,
Set.singleton_eq_singleton_iff]
#align discrete_topology_of_open_singleton_one discreteTopology_of_isOpen_singleton_one
#align discrete_topology_of_open_singleton_zero discreteTopology_of_isOpen_singleton_zero
@[to_additive]
theorem discreteTopology_iff_isOpen_singleton_one : DiscreteTopology G ↔ IsOpen ({1} : Set G) :=
⟨fun h => forall_open_iff_discrete.mpr h {1}, discreteTopology_of_isOpen_singleton_one⟩
#align discrete_topology_iff_open_singleton_one discreteTopology_iff_isOpen_singleton_one
#align discrete_topology_iff_open_singleton_zero discreteTopology_iff_isOpen_singleton_zero
end ContinuousMulGroup
/-!
### `ContinuousInv` and `ContinuousNeg`
-/
/-- Basic hypothesis to talk about a topological additive group. A topological additive group
over `M`, for example, is obtained by requiring the instances `AddGroup M` and
`ContinuousAdd M` and `ContinuousNeg M`. -/
class ContinuousNeg (G : Type u) [TopologicalSpace G] [Neg G] : Prop where
continuous_neg : Continuous fun a : G => -a
#align has_continuous_neg ContinuousNeg
-- Porting note: added
attribute [continuity] ContinuousNeg.continuous_neg
/-- Basic hypothesis to talk about a topological group. A topological group over `M`, for example,
is obtained by requiring the instances `Group M` and `ContinuousMul M` and
`ContinuousInv M`. -/
@[to_additive (attr := continuity)]
class ContinuousInv (G : Type u) [TopologicalSpace G] [Inv G] : Prop where
continuous_inv : Continuous fun a : G => a⁻¹
#align has_continuous_inv ContinuousInv
--#align has_continuous_neg ContinuousNeg
-- Porting note: added
attribute [continuity] ContinuousInv.continuous_inv
export ContinuousInv (continuous_inv)
export ContinuousNeg (continuous_neg)
section ContinuousInv
variable [TopologicalSpace G] [Inv G] [ContinuousInv G]
@[to_additive]
protected theorem Specializes.inv {x y : G} (h : x ⤳ y) : (x⁻¹) ⤳ (y⁻¹) :=
h.map continuous_inv
@[to_additive]
protected theorem Inseparable.inv {x y : G} (h : Inseparable x y) : Inseparable (x⁻¹) (y⁻¹) :=
h.map continuous_inv
@[to_additive]
protected theorem Specializes.zpow {G : Type*} [DivInvMonoid G] [TopologicalSpace G]
[ContinuousMul G] [ContinuousInv G] {x y : G} (h : x ⤳ y) : ∀ m : ℤ, (x ^ m) ⤳ (y ^ m)
| .ofNat n => by simpa using h.pow n
| .negSucc n => by simpa using (h.pow (n + 1)).inv
@[to_additive]
protected theorem Inseparable.zpow {G : Type*} [DivInvMonoid G] [TopologicalSpace G]
[ContinuousMul G] [ContinuousInv G] {x y : G} (h : Inseparable x y) (m : ℤ) :
Inseparable (x ^ m) (y ^ m) :=
(h.specializes.zpow m).antisymm (h.specializes'.zpow m)
@[to_additive]
instance : ContinuousInv (ULift G) :=
⟨continuous_uLift_up.comp (continuous_inv.comp continuous_uLift_down)⟩
@[to_additive]
theorem continuousOn_inv {s : Set G} : ContinuousOn Inv.inv s :=
continuous_inv.continuousOn
#align continuous_on_inv continuousOn_inv
#align continuous_on_neg continuousOn_neg
@[to_additive]
theorem continuousWithinAt_inv {s : Set G} {x : G} : ContinuousWithinAt Inv.inv s x :=
continuous_inv.continuousWithinAt
#align continuous_within_at_inv continuousWithinAt_inv
#align continuous_within_at_neg continuousWithinAt_neg
@[to_additive]
theorem continuousAt_inv {x : G} : ContinuousAt Inv.inv x :=
continuous_inv.continuousAt
#align continuous_at_inv continuousAt_inv
#align continuous_at_neg continuousAt_neg
@[to_additive]
theorem tendsto_inv (a : G) : Tendsto Inv.inv (𝓝 a) (𝓝 a⁻¹) :=
continuousAt_inv
#align tendsto_inv tendsto_inv
#align tendsto_neg tendsto_neg
/-- If a function converges to a value in a multiplicative topological group, then its inverse
converges to the inverse of this value. For the version in normed fields assuming additionally
that the limit is nonzero, use `Tendsto.inv'`. -/
@[to_additive
"If a function converges to a value in an additive topological group, then its
negation converges to the negation of this value."]
theorem Filter.Tendsto.inv {f : α → G} {l : Filter α} {y : G} (h : Tendsto f l (𝓝 y)) :
Tendsto (fun x => (f x)⁻¹) l (𝓝 y⁻¹) :=
(continuous_inv.tendsto y).comp h
#align filter.tendsto.inv Filter.Tendsto.inv
#align filter.tendsto.neg Filter.Tendsto.neg
variable [TopologicalSpace α] {f : α → G} {s : Set α} {x : α}
@[to_additive (attr := continuity, fun_prop)]
theorem Continuous.inv (hf : Continuous f) : Continuous fun x => (f x)⁻¹ :=
continuous_inv.comp hf
#align continuous.inv Continuous.inv
#align continuous.neg Continuous.neg
@[to_additive (attr := fun_prop)]
theorem ContinuousAt.inv (hf : ContinuousAt f x) : ContinuousAt (fun x => (f x)⁻¹) x :=
continuousAt_inv.comp hf
#align continuous_at.inv ContinuousAt.inv
#align continuous_at.neg ContinuousAt.neg
@[to_additive (attr := fun_prop)]
theorem ContinuousOn.inv (hf : ContinuousOn f s) : ContinuousOn (fun x => (f x)⁻¹) s :=
continuous_inv.comp_continuousOn hf
#align continuous_on.inv ContinuousOn.inv
#align continuous_on.neg ContinuousOn.neg
@[to_additive]
theorem ContinuousWithinAt.inv (hf : ContinuousWithinAt f s x) :
ContinuousWithinAt (fun x => (f x)⁻¹) s x :=
Filter.Tendsto.inv hf
#align continuous_within_at.inv ContinuousWithinAt.inv
#align continuous_within_at.neg ContinuousWithinAt.neg
@[to_additive]
instance Prod.continuousInv [TopologicalSpace H] [Inv H] [ContinuousInv H] :
ContinuousInv (G × H) :=
⟨continuous_inv.fst'.prod_mk continuous_inv.snd'⟩
variable {ι : Type*}
@[to_additive]
instance Pi.continuousInv {C : ι → Type*} [∀ i, TopologicalSpace (C i)] [∀ i, Inv (C i)]
[∀ i, ContinuousInv (C i)] : ContinuousInv (∀ i, C i) where
continuous_inv := continuous_pi fun i => (continuous_apply i).inv
#align pi.has_continuous_inv Pi.continuousInv
#align pi.has_continuous_neg Pi.continuousNeg
/-- A version of `Pi.continuousInv` for non-dependent functions. It is needed because sometimes
Lean fails to use `Pi.continuousInv` for non-dependent functions. -/
@[to_additive
"A version of `Pi.continuousNeg` for non-dependent functions. It is needed
because sometimes Lean fails to use `Pi.continuousNeg` for non-dependent functions."]
instance Pi.has_continuous_inv' : ContinuousInv (ι → G) :=
Pi.continuousInv
#align pi.has_continuous_inv' Pi.has_continuous_inv'
#align pi.has_continuous_neg' Pi.has_continuous_neg'
@[to_additive]
instance (priority := 100) continuousInv_of_discreteTopology [TopologicalSpace H] [Inv H]
[DiscreteTopology H] : ContinuousInv H :=
⟨continuous_of_discreteTopology⟩
#align has_continuous_inv_of_discrete_topology continuousInv_of_discreteTopology
#align has_continuous_neg_of_discrete_topology continuousNeg_of_discreteTopology
section PointwiseLimits
variable (G₁ G₂ : Type*) [TopologicalSpace G₂] [T2Space G₂]
@[to_additive]
theorem isClosed_setOf_map_inv [Inv G₁] [Inv G₂] [ContinuousInv G₂] :
IsClosed { f : G₁ → G₂ | ∀ x, f x⁻¹ = (f x)⁻¹ } := by
simp only [setOf_forall]
exact isClosed_iInter fun i => isClosed_eq (continuous_apply _) (continuous_apply _).inv
#align is_closed_set_of_map_inv isClosed_setOf_map_inv
#align is_closed_set_of_map_neg isClosed_setOf_map_neg
end PointwiseLimits
instance [TopologicalSpace H] [Inv H] [ContinuousInv H] : ContinuousNeg (Additive H) where
continuous_neg := @continuous_inv H _ _ _
instance [TopologicalSpace H] [Neg H] [ContinuousNeg H] : ContinuousInv (Multiplicative H) where
continuous_inv := @continuous_neg H _ _ _
end ContinuousInv
section ContinuousInvolutiveInv
variable [TopologicalSpace G] [InvolutiveInv G] [ContinuousInv G] {s : Set G}
@[to_additive]
theorem IsCompact.inv (hs : IsCompact s) : IsCompact s⁻¹ := by
rw [← image_inv]
exact hs.image continuous_inv
#align is_compact.inv IsCompact.inv
#align is_compact.neg IsCompact.neg
variable (G)
/-- Inversion in a topological group as a homeomorphism. -/
@[to_additive "Negation in a topological group as a homeomorphism."]
protected def Homeomorph.inv (G : Type*) [TopologicalSpace G] [InvolutiveInv G]
[ContinuousInv G] : G ≃ₜ G :=
{ Equiv.inv G with
continuous_toFun := continuous_inv
continuous_invFun := continuous_inv }
#align homeomorph.inv Homeomorph.inv
#align homeomorph.neg Homeomorph.neg
@[to_additive (attr := simp)]
lemma Homeomorph.coe_inv {G : Type*} [TopologicalSpace G] [InvolutiveInv G] [ContinuousInv G] :
⇑(Homeomorph.inv G) = Inv.inv := rfl
@[to_additive]
theorem isOpenMap_inv : IsOpenMap (Inv.inv : G → G) :=
(Homeomorph.inv _).isOpenMap
#align is_open_map_inv isOpenMap_inv
#align is_open_map_neg isOpenMap_neg
@[to_additive]
theorem isClosedMap_inv : IsClosedMap (Inv.inv : G → G) :=
(Homeomorph.inv _).isClosedMap
#align is_closed_map_inv isClosedMap_inv
#align is_closed_map_neg isClosedMap_neg
variable {G}
@[to_additive]
theorem IsOpen.inv (hs : IsOpen s) : IsOpen s⁻¹ :=
hs.preimage continuous_inv
#align is_open.inv IsOpen.inv
#align is_open.neg IsOpen.neg
@[to_additive]
theorem IsClosed.inv (hs : IsClosed s) : IsClosed s⁻¹ :=
hs.preimage continuous_inv
#align is_closed.inv IsClosed.inv
#align is_closed.neg IsClosed.neg
@[to_additive]
theorem inv_closure : ∀ s : Set G, (closure s)⁻¹ = closure s⁻¹ :=
(Homeomorph.inv G).preimage_closure
#align inv_closure inv_closure
#align neg_closure neg_closure
end ContinuousInvolutiveInv
section LatticeOps
variable {ι' : Sort*} [Inv G]
@[to_additive]
theorem continuousInv_sInf {ts : Set (TopologicalSpace G)}
(h : ∀ t ∈ ts, @ContinuousInv G t _) : @ContinuousInv G (sInf ts) _ :=
letI := sInf ts
{ continuous_inv :=
continuous_sInf_rng.2 fun t ht =>
continuous_sInf_dom ht (@ContinuousInv.continuous_inv G t _ (h t ht)) }
#align has_continuous_inv_Inf continuousInv_sInf
#align has_continuous_neg_Inf continuousNeg_sInf
@[to_additive]
| Mathlib/Topology/Algebra/Group/Basic.lean | 415 | 418 | theorem continuousInv_iInf {ts' : ι' → TopologicalSpace G}
(h' : ∀ i, @ContinuousInv G (ts' i) _) : @ContinuousInv G (⨅ i, ts' i) _ := by |
rw [← sInf_range]
exact continuousInv_sInf (Set.forall_mem_range.mpr h')
|
/-
Copyright (c) 2022 Joël Riou. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Joël Riou
-/
import Mathlib.AlgebraicTopology.SimplicialObject
import Mathlib.CategoryTheory.Limits.Shapes.Products
#align_import algebraic_topology.split_simplicial_object from "leanprover-community/mathlib"@"dd1f8496baa505636a82748e6b652165ea888733"
/-!
# Split simplicial objects
In this file, we introduce the notion of split simplicial object.
If `C` is a category that has finite coproducts, a splitting
`s : Splitting X` of a simplicial object `X` in `C` consists
of the datum of a sequence of objects `s.N : ℕ → C` (which
we shall refer to as "nondegenerate simplices") and a
sequence of morphisms `s.ι n : s.N n → X _[n]` that have
the property that a certain canonical map identifies `X _[n]`
with the coproduct of objects `s.N i` indexed by all possible
epimorphisms `[n] ⟶ [i]` in `SimplexCategory`. (We do not
assume that the morphisms `s.ι n` are monomorphisms: in the
most common categories, this would be a consequence of the
axioms.)
Simplicial objects equipped with a splitting form a category
`SimplicialObject.Split C`.
## References
* [Stacks: Splitting simplicial objects] https://stacks.math.columbia.edu/tag/017O
-/
noncomputable section
open CategoryTheory CategoryTheory.Category CategoryTheory.Limits Opposite SimplexCategory
open Simplicial
universe u
variable {C : Type*} [Category C]
namespace SimplicialObject
namespace Splitting
/-- The index set which appears in the definition of split simplicial objects. -/
def IndexSet (Δ : SimplexCategoryᵒᵖ) :=
ΣΔ' : SimplexCategoryᵒᵖ, { α : Δ.unop ⟶ Δ'.unop // Epi α }
#align simplicial_object.splitting.index_set SimplicialObject.Splitting.IndexSet
namespace IndexSet
/-- The element in `Splitting.IndexSet Δ` attached to an epimorphism `f : Δ ⟶ Δ'`. -/
@[simps]
def mk {Δ Δ' : SimplexCategory} (f : Δ ⟶ Δ') [Epi f] : IndexSet (op Δ) :=
⟨op Δ', f, inferInstance⟩
#align simplicial_object.splitting.index_set.mk SimplicialObject.Splitting.IndexSet.mk
variable {Δ : SimplexCategoryᵒᵖ} (A : IndexSet Δ)
/-- The epimorphism in `SimplexCategory` associated to `A : Splitting.IndexSet Δ` -/
def e :=
A.2.1
#align simplicial_object.splitting.index_set.e SimplicialObject.Splitting.IndexSet.e
instance : Epi A.e :=
A.2.2
theorem ext' : A = ⟨A.1, ⟨A.e, A.2.2⟩⟩ := rfl
#align simplicial_object.splitting.index_set.ext' SimplicialObject.Splitting.IndexSet.ext'
theorem ext (A₁ A₂ : IndexSet Δ) (h₁ : A₁.1 = A₂.1) (h₂ : A₁.e ≫ eqToHom (by rw [h₁]) = A₂.e) :
A₁ = A₂ := by
rcases A₁ with ⟨Δ₁, ⟨α₁, hα₁⟩⟩
rcases A₂ with ⟨Δ₂, ⟨α₂, hα₂⟩⟩
simp only at h₁
subst h₁
simp only [eqToHom_refl, comp_id, IndexSet.e] at h₂
simp only [h₂]
#align simplicial_object.splitting.index_set.ext SimplicialObject.Splitting.IndexSet.ext
instance : Fintype (IndexSet Δ) :=
Fintype.ofInjective
(fun A =>
⟨⟨A.1.unop.len, Nat.lt_succ_iff.mpr (len_le_of_epi (inferInstance : Epi A.e))⟩,
A.e.toOrderHom⟩ :
IndexSet Δ → Sigma fun k : Fin (Δ.unop.len + 1) => Fin (Δ.unop.len + 1) → Fin (k + 1))
(by
rintro ⟨Δ₁, α₁⟩ ⟨Δ₂, α₂⟩ h₁
induction' Δ₁ using Opposite.rec with Δ₁
induction' Δ₂ using Opposite.rec with Δ₂
simp only [unop_op, Sigma.mk.inj_iff, Fin.mk.injEq] at h₁
have h₂ : Δ₁ = Δ₂ := by
ext1
simpa only [Fin.mk_eq_mk] using h₁.1
subst h₂
refine ext _ _ rfl ?_
ext : 2
exact eq_of_heq h₁.2)
variable (Δ)
/-- The distinguished element in `Splitting.IndexSet Δ` which corresponds to the
identity of `Δ`. -/
@[simps]
def id : IndexSet Δ :=
⟨Δ, ⟨𝟙 _, by infer_instance⟩⟩
#align simplicial_object.splitting.index_set.id SimplicialObject.Splitting.IndexSet.id
instance : Inhabited (IndexSet Δ) :=
⟨id Δ⟩
variable {Δ}
/-- The condition that an element `Splitting.IndexSet Δ` is the distinguished
element `Splitting.IndexSet.Id Δ`. -/
@[simp]
def EqId : Prop :=
A = id _
#align simplicial_object.splitting.index_set.eq_id SimplicialObject.Splitting.IndexSet.EqId
theorem eqId_iff_eq : A.EqId ↔ A.1 = Δ := by
constructor
· intro h
dsimp at h
rw [h]
rfl
· intro h
rcases A with ⟨_, ⟨f, hf⟩⟩
simp only at h
subst h
refine ext _ _ rfl ?_
haveI := hf
simp only [eqToHom_refl, comp_id]
exact eq_id_of_epi f
#align simplicial_object.splitting.index_set.eq_id_iff_eq SimplicialObject.Splitting.IndexSet.eqId_iff_eq
theorem eqId_iff_len_eq : A.EqId ↔ A.1.unop.len = Δ.unop.len := by
rw [eqId_iff_eq]
constructor
· intro h
rw [h]
· intro h
rw [← unop_inj_iff]
ext
exact h
#align simplicial_object.splitting.index_set.eq_id_iff_len_eq SimplicialObject.Splitting.IndexSet.eqId_iff_len_eq
theorem eqId_iff_len_le : A.EqId ↔ Δ.unop.len ≤ A.1.unop.len := by
rw [eqId_iff_len_eq]
constructor
· intro h
rw [h]
· exact le_antisymm (len_le_of_epi (inferInstance : Epi A.e))
#align simplicial_object.splitting.index_set.eq_id_iff_len_le SimplicialObject.Splitting.IndexSet.eqId_iff_len_le
theorem eqId_iff_mono : A.EqId ↔ Mono A.e := by
constructor
· intro h
dsimp at h
subst h
dsimp only [id, e]
infer_instance
· intro h
rw [eqId_iff_len_le]
exact len_le_of_mono h
#align simplicial_object.splitting.index_set.eq_id_iff_mono SimplicialObject.Splitting.IndexSet.eqId_iff_mono
/-- Given `A : IndexSet Δ₁`, if `p.unop : unop Δ₂ ⟶ unop Δ₁` is an epi, this
is the obvious element in `A : IndexSet Δ₂` associated to the composition
of epimorphisms `p.unop ≫ A.e`. -/
@[simps]
def epiComp {Δ₁ Δ₂ : SimplexCategoryᵒᵖ} (A : IndexSet Δ₁) (p : Δ₁ ⟶ Δ₂) [Epi p.unop] :
IndexSet Δ₂ :=
⟨A.1, ⟨p.unop ≫ A.e, epi_comp _ _⟩⟩
#align simplicial_object.splitting.index_set.epi_comp SimplicialObject.Splitting.IndexSet.epiComp
variable {Δ' : SimplexCategoryᵒᵖ} (θ : Δ ⟶ Δ')
/-- When `A : IndexSet Δ` and `θ : Δ → Δ'` is a morphism in `SimplexCategoryᵒᵖ`,
an element in `IndexSet Δ'` can be defined by using the epi-mono factorisation
of `θ.unop ≫ A.e`. -/
def pull : IndexSet Δ' :=
mk (factorThruImage (θ.unop ≫ A.e))
#align simplicial_object.splitting.index_set.pull SimplicialObject.Splitting.IndexSet.pull
@[reassoc]
theorem fac_pull : (A.pull θ).e ≫ image.ι (θ.unop ≫ A.e) = θ.unop ≫ A.e :=
image.fac _
#align simplicial_object.splitting.index_set.fac_pull SimplicialObject.Splitting.IndexSet.fac_pull
end IndexSet
variable (N : ℕ → C) (Δ : SimplexCategoryᵒᵖ) (X : SimplicialObject C) (φ : ∀ n, N n ⟶ X _[n])
/-- Given a sequences of objects `N : ℕ → C` in a category `C`, this is
a family of objects indexed by the elements `A : Splitting.IndexSet Δ`.
The `Δ`-simplices of a split simplicial objects shall identify to the
coproduct of objects in such a family. -/
@[simp, nolint unusedArguments]
def summand (A : IndexSet Δ) : C :=
N A.1.unop.len
#align simplicial_object.splitting.summand SimplicialObject.Splitting.summand
/-- The cofan for `summand N Δ` induced by morphisms `N n ⟶ X_ [n]` for all `n : ℕ`. -/
def cofan' (Δ : SimplexCategoryᵒᵖ) : Cofan (summand N Δ) :=
Cofan.mk (X.obj Δ) (fun A => φ A.1.unop.len ≫ X.map A.e.op)
end Splitting
--porting note (#5171): removed @[nolint has_nonempty_instance]
/-- A splitting of a simplicial object `X` consists of the datum of a sequence
of objects `N`, a sequence of morphisms `ι : N n ⟶ X _[n]` such that
for all `Δ : SimplexCategoryᵒᵖ`, the canonical map `Splitting.map X ι Δ`
is an isomorphism. -/
structure Splitting (X : SimplicialObject C) where
/-- The "nondegenerate simplices" `N n` for all `n : ℕ`. -/
N : ℕ → C
/-- The "inclusion" `N n ⟶ X _[n]` for all `n : ℕ`. -/
ι : ∀ n, N n ⟶ X _[n]
/-- For each `Δ`, `X.obj Δ` identifies to the coproduct of the objects `N A.1.unop.len`
for all `A : IndexSet Δ`. -/
isColimit' : ∀ Δ : SimplexCategoryᵒᵖ, IsColimit (Splitting.cofan' N X ι Δ)
#align simplicial_object.splitting SimplicialObject.Splitting
namespace Splitting
variable {X Y : SimplicialObject C} (s : Splitting X)
/-- The cofan for `summand s.N Δ` induced by a splitting of a simplicial object. -/
def cofan (Δ : SimplexCategoryᵒᵖ) : Cofan (summand s.N Δ) :=
Cofan.mk (X.obj Δ) (fun A => s.ι A.1.unop.len ≫ X.map A.e.op)
/-- The cofan `s.cofan Δ` is colimit. -/
def isColimit (Δ : SimplexCategoryᵒᵖ) : IsColimit (s.cofan Δ) := s.isColimit' Δ
@[reassoc]
theorem cofan_inj_eq {Δ : SimplexCategoryᵒᵖ} (A : IndexSet Δ) :
(s.cofan Δ).inj A = s.ι A.1.unop.len ≫ X.map A.e.op := rfl
#align simplicial_object.splitting.ι_summand_eq SimplicialObject.Splitting.cofan_inj_eq
theorem cofan_inj_id (n : ℕ) : (s.cofan _).inj (IndexSet.id (op [n])) = s.ι n := by
erw [cofan_inj_eq, X.map_id, comp_id]
rfl
#align simplicial_object.splitting.ι_summand_id SimplicialObject.Splitting.cofan_inj_id
/-- As it is stated in `Splitting.hom_ext`, a morphism `f : X ⟶ Y` from a split
simplicial object to any simplicial object is determined by its restrictions
`s.φ f n : s.N n ⟶ Y _[n]` to the distinguished summands in each degree `n`. -/
@[simp]
def φ (f : X ⟶ Y) (n : ℕ) : s.N n ⟶ Y _[n] :=
s.ι n ≫ f.app (op [n])
#align simplicial_object.splitting.φ SimplicialObject.Splitting.φ
@[reassoc (attr := simp)]
| Mathlib/AlgebraicTopology/SplitSimplicialObject.lean | 262 | 265 | theorem cofan_inj_comp_app (f : X ⟶ Y) {Δ : SimplexCategoryᵒᵖ} (A : IndexSet Δ) :
(s.cofan Δ).inj A ≫ f.app Δ = s.φ f A.1.unop.len ≫ Y.map A.e.op := by |
simp only [cofan_inj_eq_assoc, φ, assoc]
erw [NatTrans.naturality]
|
/-
Copyright (c) 2019 Scott Morrison. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Scott Morrison, Yaël Dillies
-/
import Mathlib.Order.Cover
import Mathlib.Order.Interval.Finset.Defs
#align_import data.finset.locally_finite from "leanprover-community/mathlib"@"442a83d738cb208d3600056c489be16900ba701d"
/-!
# Intervals as finsets
This file provides basic results about all the `Finset.Ixx`, which are defined in
`Order.Interval.Finset.Defs`.
In addition, it shows that in a locally finite order `≤` and `<` are the transitive closures of,
respectively, `⩿` and `⋖`, which then leads to a characterization of monotone and strictly
functions whose domain is a locally finite order. In particular, this file proves:
* `le_iff_transGen_wcovBy`: `≤` is the transitive closure of `⩿`
* `lt_iff_transGen_covBy`: `≤` is the transitive closure of `⩿`
* `monotone_iff_forall_wcovBy`: Characterization of monotone functions
* `strictMono_iff_forall_covBy`: Characterization of strictly monotone functions
## TODO
This file was originally only about `Finset.Ico a b` where `a b : ℕ`. No care has yet been taken to
generalize these lemmas properly and many lemmas about `Icc`, `Ioc`, `Ioo` are missing. In general,
what's to do is taking the lemmas in `Data.X.Intervals` and abstract away the concrete structure.
Complete the API. See
https://github.com/leanprover-community/mathlib/pull/14448#discussion_r906109235
for some ideas.
-/
assert_not_exists MonoidWithZero
assert_not_exists Finset.sum
open Function OrderDual
open FinsetInterval
variable {ι α : Type*}
namespace Finset
section Preorder
variable [Preorder α]
section LocallyFiniteOrder
variable [LocallyFiniteOrder α] {a a₁ a₂ b b₁ b₂ c x : α}
@[simp, aesop safe apply (rule_sets := [finsetNonempty])]
theorem nonempty_Icc : (Icc a b).Nonempty ↔ a ≤ b := by
rw [← coe_nonempty, coe_Icc, Set.nonempty_Icc]
#align finset.nonempty_Icc Finset.nonempty_Icc
@[simp, aesop safe apply (rule_sets := [finsetNonempty])]
theorem nonempty_Ico : (Ico a b).Nonempty ↔ a < b := by
rw [← coe_nonempty, coe_Ico, Set.nonempty_Ico]
#align finset.nonempty_Ico Finset.nonempty_Ico
@[simp, aesop safe apply (rule_sets := [finsetNonempty])]
theorem nonempty_Ioc : (Ioc a b).Nonempty ↔ a < b := by
rw [← coe_nonempty, coe_Ioc, Set.nonempty_Ioc]
#align finset.nonempty_Ioc Finset.nonempty_Ioc
-- TODO: This is nonsense. A locally finite order is never densely ordered
@[simp]
theorem nonempty_Ioo [DenselyOrdered α] : (Ioo a b).Nonempty ↔ a < b := by
rw [← coe_nonempty, coe_Ioo, Set.nonempty_Ioo]
#align finset.nonempty_Ioo Finset.nonempty_Ioo
@[simp]
theorem Icc_eq_empty_iff : Icc a b = ∅ ↔ ¬a ≤ b := by
rw [← coe_eq_empty, coe_Icc, Set.Icc_eq_empty_iff]
#align finset.Icc_eq_empty_iff Finset.Icc_eq_empty_iff
@[simp]
theorem Ico_eq_empty_iff : Ico a b = ∅ ↔ ¬a < b := by
rw [← coe_eq_empty, coe_Ico, Set.Ico_eq_empty_iff]
#align finset.Ico_eq_empty_iff Finset.Ico_eq_empty_iff
@[simp]
theorem Ioc_eq_empty_iff : Ioc a b = ∅ ↔ ¬a < b := by
rw [← coe_eq_empty, coe_Ioc, Set.Ioc_eq_empty_iff]
#align finset.Ioc_eq_empty_iff Finset.Ioc_eq_empty_iff
-- TODO: This is nonsense. A locally finite order is never densely ordered
@[simp]
theorem Ioo_eq_empty_iff [DenselyOrdered α] : Ioo a b = ∅ ↔ ¬a < b := by
rw [← coe_eq_empty, coe_Ioo, Set.Ioo_eq_empty_iff]
#align finset.Ioo_eq_empty_iff Finset.Ioo_eq_empty_iff
alias ⟨_, Icc_eq_empty⟩ := Icc_eq_empty_iff
#align finset.Icc_eq_empty Finset.Icc_eq_empty
alias ⟨_, Ico_eq_empty⟩ := Ico_eq_empty_iff
#align finset.Ico_eq_empty Finset.Ico_eq_empty
alias ⟨_, Ioc_eq_empty⟩ := Ioc_eq_empty_iff
#align finset.Ioc_eq_empty Finset.Ioc_eq_empty
@[simp]
theorem Ioo_eq_empty (h : ¬a < b) : Ioo a b = ∅ :=
eq_empty_iff_forall_not_mem.2 fun _ hx => h ((mem_Ioo.1 hx).1.trans (mem_Ioo.1 hx).2)
#align finset.Ioo_eq_empty Finset.Ioo_eq_empty
@[simp]
theorem Icc_eq_empty_of_lt (h : b < a) : Icc a b = ∅ :=
Icc_eq_empty h.not_le
#align finset.Icc_eq_empty_of_lt Finset.Icc_eq_empty_of_lt
@[simp]
theorem Ico_eq_empty_of_le (h : b ≤ a) : Ico a b = ∅ :=
Ico_eq_empty h.not_lt
#align finset.Ico_eq_empty_of_le Finset.Ico_eq_empty_of_le
@[simp]
theorem Ioc_eq_empty_of_le (h : b ≤ a) : Ioc a b = ∅ :=
Ioc_eq_empty h.not_lt
#align finset.Ioc_eq_empty_of_le Finset.Ioc_eq_empty_of_le
@[simp]
theorem Ioo_eq_empty_of_le (h : b ≤ a) : Ioo a b = ∅ :=
Ioo_eq_empty h.not_lt
#align finset.Ioo_eq_empty_of_le Finset.Ioo_eq_empty_of_le
-- porting note (#10618): simp can prove this
-- @[simp]
theorem left_mem_Icc : a ∈ Icc a b ↔ a ≤ b := by simp only [mem_Icc, true_and_iff, le_rfl]
#align finset.left_mem_Icc Finset.left_mem_Icc
-- porting note (#10618): simp can prove this
-- @[simp]
theorem left_mem_Ico : a ∈ Ico a b ↔ a < b := by simp only [mem_Ico, true_and_iff, le_refl]
#align finset.left_mem_Ico Finset.left_mem_Ico
-- porting note (#10618): simp can prove this
-- @[simp]
theorem right_mem_Icc : b ∈ Icc a b ↔ a ≤ b := by simp only [mem_Icc, and_true_iff, le_rfl]
#align finset.right_mem_Icc Finset.right_mem_Icc
-- porting note (#10618): simp can prove this
-- @[simp]
theorem right_mem_Ioc : b ∈ Ioc a b ↔ a < b := by simp only [mem_Ioc, and_true_iff, le_rfl]
#align finset.right_mem_Ioc Finset.right_mem_Ioc
-- porting note (#10618): simp can prove this
-- @[simp]
theorem left_not_mem_Ioc : a ∉ Ioc a b := fun h => lt_irrefl _ (mem_Ioc.1 h).1
#align finset.left_not_mem_Ioc Finset.left_not_mem_Ioc
-- porting note (#10618): simp can prove this
-- @[simp]
theorem left_not_mem_Ioo : a ∉ Ioo a b := fun h => lt_irrefl _ (mem_Ioo.1 h).1
#align finset.left_not_mem_Ioo Finset.left_not_mem_Ioo
-- porting note (#10618): simp can prove this
-- @[simp]
theorem right_not_mem_Ico : b ∉ Ico a b := fun h => lt_irrefl _ (mem_Ico.1 h).2
#align finset.right_not_mem_Ico Finset.right_not_mem_Ico
-- porting note (#10618): simp can prove this
-- @[simp]
theorem right_not_mem_Ioo : b ∉ Ioo a b := fun h => lt_irrefl _ (mem_Ioo.1 h).2
#align finset.right_not_mem_Ioo Finset.right_not_mem_Ioo
theorem Icc_subset_Icc (ha : a₂ ≤ a₁) (hb : b₁ ≤ b₂) : Icc a₁ b₁ ⊆ Icc a₂ b₂ := by
simpa [← coe_subset] using Set.Icc_subset_Icc ha hb
#align finset.Icc_subset_Icc Finset.Icc_subset_Icc
theorem Ico_subset_Ico (ha : a₂ ≤ a₁) (hb : b₁ ≤ b₂) : Ico a₁ b₁ ⊆ Ico a₂ b₂ := by
simpa [← coe_subset] using Set.Ico_subset_Ico ha hb
#align finset.Ico_subset_Ico Finset.Ico_subset_Ico
theorem Ioc_subset_Ioc (ha : a₂ ≤ a₁) (hb : b₁ ≤ b₂) : Ioc a₁ b₁ ⊆ Ioc a₂ b₂ := by
simpa [← coe_subset] using Set.Ioc_subset_Ioc ha hb
#align finset.Ioc_subset_Ioc Finset.Ioc_subset_Ioc
theorem Ioo_subset_Ioo (ha : a₂ ≤ a₁) (hb : b₁ ≤ b₂) : Ioo a₁ b₁ ⊆ Ioo a₂ b₂ := by
simpa [← coe_subset] using Set.Ioo_subset_Ioo ha hb
#align finset.Ioo_subset_Ioo Finset.Ioo_subset_Ioo
theorem Icc_subset_Icc_left (h : a₁ ≤ a₂) : Icc a₂ b ⊆ Icc a₁ b :=
Icc_subset_Icc h le_rfl
#align finset.Icc_subset_Icc_left Finset.Icc_subset_Icc_left
theorem Ico_subset_Ico_left (h : a₁ ≤ a₂) : Ico a₂ b ⊆ Ico a₁ b :=
Ico_subset_Ico h le_rfl
#align finset.Ico_subset_Ico_left Finset.Ico_subset_Ico_left
theorem Ioc_subset_Ioc_left (h : a₁ ≤ a₂) : Ioc a₂ b ⊆ Ioc a₁ b :=
Ioc_subset_Ioc h le_rfl
#align finset.Ioc_subset_Ioc_left Finset.Ioc_subset_Ioc_left
theorem Ioo_subset_Ioo_left (h : a₁ ≤ a₂) : Ioo a₂ b ⊆ Ioo a₁ b :=
Ioo_subset_Ioo h le_rfl
#align finset.Ioo_subset_Ioo_left Finset.Ioo_subset_Ioo_left
theorem Icc_subset_Icc_right (h : b₁ ≤ b₂) : Icc a b₁ ⊆ Icc a b₂ :=
Icc_subset_Icc le_rfl h
#align finset.Icc_subset_Icc_right Finset.Icc_subset_Icc_right
theorem Ico_subset_Ico_right (h : b₁ ≤ b₂) : Ico a b₁ ⊆ Ico a b₂ :=
Ico_subset_Ico le_rfl h
#align finset.Ico_subset_Ico_right Finset.Ico_subset_Ico_right
theorem Ioc_subset_Ioc_right (h : b₁ ≤ b₂) : Ioc a b₁ ⊆ Ioc a b₂ :=
Ioc_subset_Ioc le_rfl h
#align finset.Ioc_subset_Ioc_right Finset.Ioc_subset_Ioc_right
theorem Ioo_subset_Ioo_right (h : b₁ ≤ b₂) : Ioo a b₁ ⊆ Ioo a b₂ :=
Ioo_subset_Ioo le_rfl h
#align finset.Ioo_subset_Ioo_right Finset.Ioo_subset_Ioo_right
theorem Ico_subset_Ioo_left (h : a₁ < a₂) : Ico a₂ b ⊆ Ioo a₁ b := by
rw [← coe_subset, coe_Ico, coe_Ioo]
exact Set.Ico_subset_Ioo_left h
#align finset.Ico_subset_Ioo_left Finset.Ico_subset_Ioo_left
theorem Ioc_subset_Ioo_right (h : b₁ < b₂) : Ioc a b₁ ⊆ Ioo a b₂ := by
rw [← coe_subset, coe_Ioc, coe_Ioo]
exact Set.Ioc_subset_Ioo_right h
#align finset.Ioc_subset_Ioo_right Finset.Ioc_subset_Ioo_right
theorem Icc_subset_Ico_right (h : b₁ < b₂) : Icc a b₁ ⊆ Ico a b₂ := by
rw [← coe_subset, coe_Icc, coe_Ico]
exact Set.Icc_subset_Ico_right h
#align finset.Icc_subset_Ico_right Finset.Icc_subset_Ico_right
theorem Ioo_subset_Ico_self : Ioo a b ⊆ Ico a b := by
rw [← coe_subset, coe_Ioo, coe_Ico]
exact Set.Ioo_subset_Ico_self
#align finset.Ioo_subset_Ico_self Finset.Ioo_subset_Ico_self
theorem Ioo_subset_Ioc_self : Ioo a b ⊆ Ioc a b := by
rw [← coe_subset, coe_Ioo, coe_Ioc]
exact Set.Ioo_subset_Ioc_self
#align finset.Ioo_subset_Ioc_self Finset.Ioo_subset_Ioc_self
theorem Ico_subset_Icc_self : Ico a b ⊆ Icc a b := by
rw [← coe_subset, coe_Ico, coe_Icc]
exact Set.Ico_subset_Icc_self
#align finset.Ico_subset_Icc_self Finset.Ico_subset_Icc_self
theorem Ioc_subset_Icc_self : Ioc a b ⊆ Icc a b := by
rw [← coe_subset, coe_Ioc, coe_Icc]
exact Set.Ioc_subset_Icc_self
#align finset.Ioc_subset_Icc_self Finset.Ioc_subset_Icc_self
theorem Ioo_subset_Icc_self : Ioo a b ⊆ Icc a b :=
Ioo_subset_Ico_self.trans Ico_subset_Icc_self
#align finset.Ioo_subset_Icc_self Finset.Ioo_subset_Icc_self
theorem Icc_subset_Icc_iff (h₁ : a₁ ≤ b₁) : Icc a₁ b₁ ⊆ Icc a₂ b₂ ↔ a₂ ≤ a₁ ∧ b₁ ≤ b₂ := by
rw [← coe_subset, coe_Icc, coe_Icc, Set.Icc_subset_Icc_iff h₁]
#align finset.Icc_subset_Icc_iff Finset.Icc_subset_Icc_iff
theorem Icc_subset_Ioo_iff (h₁ : a₁ ≤ b₁) : Icc a₁ b₁ ⊆ Ioo a₂ b₂ ↔ a₂ < a₁ ∧ b₁ < b₂ := by
rw [← coe_subset, coe_Icc, coe_Ioo, Set.Icc_subset_Ioo_iff h₁]
#align finset.Icc_subset_Ioo_iff Finset.Icc_subset_Ioo_iff
theorem Icc_subset_Ico_iff (h₁ : a₁ ≤ b₁) : Icc a₁ b₁ ⊆ Ico a₂ b₂ ↔ a₂ ≤ a₁ ∧ b₁ < b₂ := by
rw [← coe_subset, coe_Icc, coe_Ico, Set.Icc_subset_Ico_iff h₁]
#align finset.Icc_subset_Ico_iff Finset.Icc_subset_Ico_iff
theorem Icc_subset_Ioc_iff (h₁ : a₁ ≤ b₁) : Icc a₁ b₁ ⊆ Ioc a₂ b₂ ↔ a₂ < a₁ ∧ b₁ ≤ b₂ :=
(Icc_subset_Ico_iff h₁.dual).trans and_comm
#align finset.Icc_subset_Ioc_iff Finset.Icc_subset_Ioc_iff
--TODO: `Ico_subset_Ioo_iff`, `Ioc_subset_Ioo_iff`
theorem Icc_ssubset_Icc_left (hI : a₂ ≤ b₂) (ha : a₂ < a₁) (hb : b₁ ≤ b₂) :
Icc a₁ b₁ ⊂ Icc a₂ b₂ := by
rw [← coe_ssubset, coe_Icc, coe_Icc]
exact Set.Icc_ssubset_Icc_left hI ha hb
#align finset.Icc_ssubset_Icc_left Finset.Icc_ssubset_Icc_left
theorem Icc_ssubset_Icc_right (hI : a₂ ≤ b₂) (ha : a₂ ≤ a₁) (hb : b₁ < b₂) :
Icc a₁ b₁ ⊂ Icc a₂ b₂ := by
rw [← coe_ssubset, coe_Icc, coe_Icc]
exact Set.Icc_ssubset_Icc_right hI ha hb
#align finset.Icc_ssubset_Icc_right Finset.Icc_ssubset_Icc_right
variable (a)
-- porting note (#10618): simp can prove this
-- @[simp]
theorem Ico_self : Ico a a = ∅ :=
Ico_eq_empty <| lt_irrefl _
#align finset.Ico_self Finset.Ico_self
-- porting note (#10618): simp can prove this
-- @[simp]
theorem Ioc_self : Ioc a a = ∅ :=
Ioc_eq_empty <| lt_irrefl _
#align finset.Ioc_self Finset.Ioc_self
-- porting note (#10618): simp can prove this
-- @[simp]
theorem Ioo_self : Ioo a a = ∅ :=
Ioo_eq_empty <| lt_irrefl _
#align finset.Ioo_self Finset.Ioo_self
variable {a}
/-- A set with upper and lower bounds in a locally finite order is a fintype -/
def _root_.Set.fintypeOfMemBounds {s : Set α} [DecidablePred (· ∈ s)] (ha : a ∈ lowerBounds s)
(hb : b ∈ upperBounds s) : Fintype s :=
Set.fintypeSubset (Set.Icc a b) fun _ hx => ⟨ha hx, hb hx⟩
#align set.fintype_of_mem_bounds Set.fintypeOfMemBounds
section Filter
theorem Ico_filter_lt_of_le_left [DecidablePred (· < c)] (hca : c ≤ a) :
(Ico a b).filter (· < c) = ∅ :=
filter_false_of_mem fun _ hx => (hca.trans (mem_Ico.1 hx).1).not_lt
#align finset.Ico_filter_lt_of_le_left Finset.Ico_filter_lt_of_le_left
theorem Ico_filter_lt_of_right_le [DecidablePred (· < c)] (hbc : b ≤ c) :
(Ico a b).filter (· < c) = Ico a b :=
filter_true_of_mem fun _ hx => (mem_Ico.1 hx).2.trans_le hbc
#align finset.Ico_filter_lt_of_right_le Finset.Ico_filter_lt_of_right_le
theorem Ico_filter_lt_of_le_right [DecidablePred (· < c)] (hcb : c ≤ b) :
(Ico a b).filter (· < c) = Ico a c := by
ext x
rw [mem_filter, mem_Ico, mem_Ico, and_right_comm]
exact and_iff_left_of_imp fun h => h.2.trans_le hcb
#align finset.Ico_filter_lt_of_le_right Finset.Ico_filter_lt_of_le_right
theorem Ico_filter_le_of_le_left {a b c : α} [DecidablePred (c ≤ ·)] (hca : c ≤ a) :
(Ico a b).filter (c ≤ ·) = Ico a b :=
filter_true_of_mem fun _ hx => hca.trans (mem_Ico.1 hx).1
#align finset.Ico_filter_le_of_le_left Finset.Ico_filter_le_of_le_left
theorem Ico_filter_le_of_right_le {a b : α} [DecidablePred (b ≤ ·)] :
(Ico a b).filter (b ≤ ·) = ∅ :=
filter_false_of_mem fun _ hx => (mem_Ico.1 hx).2.not_le
#align finset.Ico_filter_le_of_right_le Finset.Ico_filter_le_of_right_le
theorem Ico_filter_le_of_left_le {a b c : α} [DecidablePred (c ≤ ·)] (hac : a ≤ c) :
(Ico a b).filter (c ≤ ·) = Ico c b := by
ext x
rw [mem_filter, mem_Ico, mem_Ico, and_comm, and_left_comm]
exact and_iff_right_of_imp fun h => hac.trans h.1
#align finset.Ico_filter_le_of_left_le Finset.Ico_filter_le_of_left_le
theorem Icc_filter_lt_of_lt_right {a b c : α} [DecidablePred (· < c)] (h : b < c) :
(Icc a b).filter (· < c) = Icc a b :=
filter_true_of_mem fun _ hx => lt_of_le_of_lt (mem_Icc.1 hx).2 h
#align finset.Icc_filter_lt_of_lt_right Finset.Icc_filter_lt_of_lt_right
theorem Ioc_filter_lt_of_lt_right {a b c : α} [DecidablePred (· < c)] (h : b < c) :
(Ioc a b).filter (· < c) = Ioc a b :=
filter_true_of_mem fun _ hx => lt_of_le_of_lt (mem_Ioc.1 hx).2 h
#align finset.Ioc_filter_lt_of_lt_right Finset.Ioc_filter_lt_of_lt_right
theorem Iic_filter_lt_of_lt_right {α} [Preorder α] [LocallyFiniteOrderBot α] {a c : α}
[DecidablePred (· < c)] (h : a < c) : (Iic a).filter (· < c) = Iic a :=
filter_true_of_mem fun _ hx => lt_of_le_of_lt (mem_Iic.1 hx) h
#align finset.Iic_filter_lt_of_lt_right Finset.Iic_filter_lt_of_lt_right
variable (a b) [Fintype α]
theorem filter_lt_lt_eq_Ioo [DecidablePred fun j => a < j ∧ j < b] :
(univ.filter fun j => a < j ∧ j < b) = Ioo a b := by
ext
simp
#align finset.filter_lt_lt_eq_Ioo Finset.filter_lt_lt_eq_Ioo
theorem filter_lt_le_eq_Ioc [DecidablePred fun j => a < j ∧ j ≤ b] :
(univ.filter fun j => a < j ∧ j ≤ b) = Ioc a b := by
ext
simp
#align finset.filter_lt_le_eq_Ioc Finset.filter_lt_le_eq_Ioc
theorem filter_le_lt_eq_Ico [DecidablePred fun j => a ≤ j ∧ j < b] :
(univ.filter fun j => a ≤ j ∧ j < b) = Ico a b := by
ext
simp
#align finset.filter_le_lt_eq_Ico Finset.filter_le_lt_eq_Ico
theorem filter_le_le_eq_Icc [DecidablePred fun j => a ≤ j ∧ j ≤ b] :
(univ.filter fun j => a ≤ j ∧ j ≤ b) = Icc a b := by
ext
simp
#align finset.filter_le_le_eq_Icc Finset.filter_le_le_eq_Icc
end Filter
section LocallyFiniteOrderTop
variable [LocallyFiniteOrderTop α]
@[simp, aesop safe apply (rule_sets := [finsetNonempty])]
lemma nonempty_Ici : (Ici a).Nonempty := ⟨a, mem_Ici.2 le_rfl⟩
@[simp, aesop safe apply (rule_sets := [finsetNonempty])]
lemma nonempty_Ioi : (Ioi a).Nonempty ↔ ¬ IsMax a := by simp [Finset.Nonempty]
theorem Icc_subset_Ici_self : Icc a b ⊆ Ici a := by
simpa [← coe_subset] using Set.Icc_subset_Ici_self
#align finset.Icc_subset_Ici_self Finset.Icc_subset_Ici_self
theorem Ico_subset_Ici_self : Ico a b ⊆ Ici a := by
simpa [← coe_subset] using Set.Ico_subset_Ici_self
#align finset.Ico_subset_Ici_self Finset.Ico_subset_Ici_self
theorem Ioc_subset_Ioi_self : Ioc a b ⊆ Ioi a := by
simpa [← coe_subset] using Set.Ioc_subset_Ioi_self
#align finset.Ioc_subset_Ioi_self Finset.Ioc_subset_Ioi_self
theorem Ioo_subset_Ioi_self : Ioo a b ⊆ Ioi a := by
simpa [← coe_subset] using Set.Ioo_subset_Ioi_self
#align finset.Ioo_subset_Ioi_self Finset.Ioo_subset_Ioi_self
theorem Ioc_subset_Ici_self : Ioc a b ⊆ Ici a :=
Ioc_subset_Icc_self.trans Icc_subset_Ici_self
#align finset.Ioc_subset_Ici_self Finset.Ioc_subset_Ici_self
theorem Ioo_subset_Ici_self : Ioo a b ⊆ Ici a :=
Ioo_subset_Ico_self.trans Ico_subset_Ici_self
#align finset.Ioo_subset_Ici_self Finset.Ioo_subset_Ici_self
end LocallyFiniteOrderTop
section LocallyFiniteOrderBot
variable [LocallyFiniteOrderBot α]
@[simp] lemma nonempty_Iic : (Iic a).Nonempty := ⟨a, mem_Iic.2 le_rfl⟩
@[simp] lemma nonempty_Iio : (Iio a).Nonempty ↔ ¬ IsMin a := by simp [Finset.Nonempty]
theorem Icc_subset_Iic_self : Icc a b ⊆ Iic b := by
simpa [← coe_subset] using Set.Icc_subset_Iic_self
#align finset.Icc_subset_Iic_self Finset.Icc_subset_Iic_self
theorem Ioc_subset_Iic_self : Ioc a b ⊆ Iic b := by
simpa [← coe_subset] using Set.Ioc_subset_Iic_self
#align finset.Ioc_subset_Iic_self Finset.Ioc_subset_Iic_self
theorem Ico_subset_Iio_self : Ico a b ⊆ Iio b := by
simpa [← coe_subset] using Set.Ico_subset_Iio_self
#align finset.Ico_subset_Iio_self Finset.Ico_subset_Iio_self
theorem Ioo_subset_Iio_self : Ioo a b ⊆ Iio b := by
simpa [← coe_subset] using Set.Ioo_subset_Iio_self
#align finset.Ioo_subset_Iio_self Finset.Ioo_subset_Iio_self
theorem Ico_subset_Iic_self : Ico a b ⊆ Iic b :=
Ico_subset_Icc_self.trans Icc_subset_Iic_self
#align finset.Ico_subset_Iic_self Finset.Ico_subset_Iic_self
theorem Ioo_subset_Iic_self : Ioo a b ⊆ Iic b :=
Ioo_subset_Ioc_self.trans Ioc_subset_Iic_self
#align finset.Ioo_subset_Iic_self Finset.Ioo_subset_Iic_self
end LocallyFiniteOrderBot
end LocallyFiniteOrder
section LocallyFiniteOrderTop
variable [LocallyFiniteOrderTop α] {a : α}
theorem Ioi_subset_Ici_self : Ioi a ⊆ Ici a := by
simpa [← coe_subset] using Set.Ioi_subset_Ici_self
#align finset.Ioi_subset_Ici_self Finset.Ioi_subset_Ici_self
theorem _root_.BddBelow.finite {s : Set α} (hs : BddBelow s) : s.Finite :=
let ⟨a, ha⟩ := hs
(Ici a).finite_toSet.subset fun _ hx => mem_Ici.2 <| ha hx
#align bdd_below.finite BddBelow.finite
theorem _root_.Set.Infinite.not_bddBelow {s : Set α} : s.Infinite → ¬BddBelow s :=
mt BddBelow.finite
#align set.infinite.not_bdd_below Set.Infinite.not_bddBelow
variable [Fintype α]
theorem filter_lt_eq_Ioi [DecidablePred (a < ·)] : univ.filter (a < ·) = Ioi a := by
ext
simp
#align finset.filter_lt_eq_Ioi Finset.filter_lt_eq_Ioi
theorem filter_le_eq_Ici [DecidablePred (a ≤ ·)] : univ.filter (a ≤ ·) = Ici a := by
ext
simp
#align finset.filter_le_eq_Ici Finset.filter_le_eq_Ici
end LocallyFiniteOrderTop
section LocallyFiniteOrderBot
variable [LocallyFiniteOrderBot α] {a : α}
theorem Iio_subset_Iic_self : Iio a ⊆ Iic a := by
simpa [← coe_subset] using Set.Iio_subset_Iic_self
#align finset.Iio_subset_Iic_self Finset.Iio_subset_Iic_self
theorem _root_.BddAbove.finite {s : Set α} (hs : BddAbove s) : s.Finite :=
hs.dual.finite
#align bdd_above.finite BddAbove.finite
theorem _root_.Set.Infinite.not_bddAbove {s : Set α} : s.Infinite → ¬BddAbove s :=
mt BddAbove.finite
#align set.infinite.not_bdd_above Set.Infinite.not_bddAbove
variable [Fintype α]
theorem filter_gt_eq_Iio [DecidablePred (· < a)] : univ.filter (· < a) = Iio a := by
ext
simp
#align finset.filter_gt_eq_Iio Finset.filter_gt_eq_Iio
theorem filter_ge_eq_Iic [DecidablePred (· ≤ a)] : univ.filter (· ≤ a) = Iic a := by
ext
simp
#align finset.filter_ge_eq_Iic Finset.filter_ge_eq_Iic
end LocallyFiniteOrderBot
variable [LocallyFiniteOrderTop α] [LocallyFiniteOrderBot α]
theorem disjoint_Ioi_Iio (a : α) : Disjoint (Ioi a) (Iio a) :=
disjoint_left.2 fun _ hab hba => (mem_Ioi.1 hab).not_lt <| mem_Iio.1 hba
#align finset.disjoint_Ioi_Iio Finset.disjoint_Ioi_Iio
end Preorder
section PartialOrder
variable [PartialOrder α] [LocallyFiniteOrder α] {a b c : α}
@[simp]
theorem Icc_self (a : α) : Icc a a = {a} := by rw [← coe_eq_singleton, coe_Icc, Set.Icc_self]
#align finset.Icc_self Finset.Icc_self
@[simp]
theorem Icc_eq_singleton_iff : Icc a b = {c} ↔ a = c ∧ b = c := by
rw [← coe_eq_singleton, coe_Icc, Set.Icc_eq_singleton_iff]
#align finset.Icc_eq_singleton_iff Finset.Icc_eq_singleton_iff
theorem Ico_disjoint_Ico_consecutive (a b c : α) : Disjoint (Ico a b) (Ico b c) :=
disjoint_left.2 fun _ hab hbc => (mem_Ico.mp hab).2.not_le (mem_Ico.mp hbc).1
#align finset.Ico_disjoint_Ico_consecutive Finset.Ico_disjoint_Ico_consecutive
section DecidableEq
variable [DecidableEq α]
@[simp]
theorem Icc_erase_left (a b : α) : (Icc a b).erase a = Ioc a b := by simp [← coe_inj]
#align finset.Icc_erase_left Finset.Icc_erase_left
@[simp]
theorem Icc_erase_right (a b : α) : (Icc a b).erase b = Ico a b := by simp [← coe_inj]
#align finset.Icc_erase_right Finset.Icc_erase_right
@[simp]
theorem Ico_erase_left (a b : α) : (Ico a b).erase a = Ioo a b := by simp [← coe_inj]
#align finset.Ico_erase_left Finset.Ico_erase_left
@[simp]
theorem Ioc_erase_right (a b : α) : (Ioc a b).erase b = Ioo a b := by simp [← coe_inj]
#align finset.Ioc_erase_right Finset.Ioc_erase_right
@[simp]
theorem Icc_diff_both (a b : α) : Icc a b \ {a, b} = Ioo a b := by simp [← coe_inj]
#align finset.Icc_diff_both Finset.Icc_diff_both
@[simp]
theorem Ico_insert_right (h : a ≤ b) : insert b (Ico a b) = Icc a b := by
rw [← coe_inj, coe_insert, coe_Icc, coe_Ico, Set.insert_eq, Set.union_comm, Set.Ico_union_right h]
#align finset.Ico_insert_right Finset.Ico_insert_right
@[simp]
theorem Ioc_insert_left (h : a ≤ b) : insert a (Ioc a b) = Icc a b := by
rw [← coe_inj, coe_insert, coe_Ioc, coe_Icc, Set.insert_eq, Set.union_comm, Set.Ioc_union_left h]
#align finset.Ioc_insert_left Finset.Ioc_insert_left
@[simp]
theorem Ioo_insert_left (h : a < b) : insert a (Ioo a b) = Ico a b := by
rw [← coe_inj, coe_insert, coe_Ioo, coe_Ico, Set.insert_eq, Set.union_comm, Set.Ioo_union_left h]
#align finset.Ioo_insert_left Finset.Ioo_insert_left
@[simp]
theorem Ioo_insert_right (h : a < b) : insert b (Ioo a b) = Ioc a b := by
rw [← coe_inj, coe_insert, coe_Ioo, coe_Ioc, Set.insert_eq, Set.union_comm, Set.Ioo_union_right h]
#align finset.Ioo_insert_right Finset.Ioo_insert_right
@[simp]
theorem Icc_diff_Ico_self (h : a ≤ b) : Icc a b \ Ico a b = {b} := by simp [← coe_inj, h]
#align finset.Icc_diff_Ico_self Finset.Icc_diff_Ico_self
@[simp]
theorem Icc_diff_Ioc_self (h : a ≤ b) : Icc a b \ Ioc a b = {a} := by simp [← coe_inj, h]
#align finset.Icc_diff_Ioc_self Finset.Icc_diff_Ioc_self
@[simp]
theorem Icc_diff_Ioo_self (h : a ≤ b) : Icc a b \ Ioo a b = {a, b} := by simp [← coe_inj, h]
#align finset.Icc_diff_Ioo_self Finset.Icc_diff_Ioo_self
@[simp]
theorem Ico_diff_Ioo_self (h : a < b) : Ico a b \ Ioo a b = {a} := by simp [← coe_inj, h]
#align finset.Ico_diff_Ioo_self Finset.Ico_diff_Ioo_self
@[simp]
theorem Ioc_diff_Ioo_self (h : a < b) : Ioc a b \ Ioo a b = {b} := by simp [← coe_inj, h]
#align finset.Ioc_diff_Ioo_self Finset.Ioc_diff_Ioo_self
@[simp]
theorem Ico_inter_Ico_consecutive (a b c : α) : Ico a b ∩ Ico b c = ∅ :=
(Ico_disjoint_Ico_consecutive a b c).eq_bot
#align finset.Ico_inter_Ico_consecutive Finset.Ico_inter_Ico_consecutive
end DecidableEq
-- Those lemmas are purposefully the other way around
/-- `Finset.cons` version of `Finset.Ico_insert_right`. -/
theorem Icc_eq_cons_Ico (h : a ≤ b) : Icc a b = (Ico a b).cons b right_not_mem_Ico := by
classical rw [cons_eq_insert, Ico_insert_right h]
#align finset.Icc_eq_cons_Ico Finset.Icc_eq_cons_Ico
/-- `Finset.cons` version of `Finset.Ioc_insert_left`. -/
theorem Icc_eq_cons_Ioc (h : a ≤ b) : Icc a b = (Ioc a b).cons a left_not_mem_Ioc := by
classical rw [cons_eq_insert, Ioc_insert_left h]
#align finset.Icc_eq_cons_Ioc Finset.Icc_eq_cons_Ioc
/-- `Finset.cons` version of `Finset.Ioo_insert_right`. -/
theorem Ioc_eq_cons_Ioo (h : a < b) : Ioc a b = (Ioo a b).cons b right_not_mem_Ioo := by
classical rw [cons_eq_insert, Ioo_insert_right h]
#align finset.Ioc_eq_cons_Ioo Finset.Ioc_eq_cons_Ioo
/-- `Finset.cons` version of `Finset.Ioo_insert_left`. -/
theorem Ico_eq_cons_Ioo (h : a < b) : Ico a b = (Ioo a b).cons a left_not_mem_Ioo := by
classical rw [cons_eq_insert, Ioo_insert_left h]
#align finset.Ico_eq_cons_Ioo Finset.Ico_eq_cons_Ioo
theorem Ico_filter_le_left {a b : α} [DecidablePred (· ≤ a)] (hab : a < b) :
((Ico a b).filter fun x => x ≤ a) = {a} := by
ext x
rw [mem_filter, mem_Ico, mem_singleton, and_right_comm, ← le_antisymm_iff, eq_comm]
exact and_iff_left_of_imp fun h => h.le.trans_lt hab
#align finset.Ico_filter_le_left Finset.Ico_filter_le_left
theorem card_Ico_eq_card_Icc_sub_one (a b : α) : (Ico a b).card = (Icc a b).card - 1 := by
classical
by_cases h : a ≤ b
· rw [Icc_eq_cons_Ico h, card_cons]
exact (Nat.add_sub_cancel _ _).symm
· rw [Ico_eq_empty fun h' => h h'.le, Icc_eq_empty h, card_empty, Nat.zero_sub]
#align finset.card_Ico_eq_card_Icc_sub_one Finset.card_Ico_eq_card_Icc_sub_one
theorem card_Ioc_eq_card_Icc_sub_one (a b : α) : (Ioc a b).card = (Icc a b).card - 1 :=
@card_Ico_eq_card_Icc_sub_one αᵒᵈ _ _ _ _
#align finset.card_Ioc_eq_card_Icc_sub_one Finset.card_Ioc_eq_card_Icc_sub_one
theorem card_Ioo_eq_card_Ico_sub_one (a b : α) : (Ioo a b).card = (Ico a b).card - 1 := by
classical
by_cases h : a < b
· rw [Ico_eq_cons_Ioo h, card_cons]
exact (Nat.add_sub_cancel _ _).symm
· rw [Ioo_eq_empty h, Ico_eq_empty h, card_empty, Nat.zero_sub]
#align finset.card_Ioo_eq_card_Ico_sub_one Finset.card_Ioo_eq_card_Ico_sub_one
theorem card_Ioo_eq_card_Ioc_sub_one (a b : α) : (Ioo a b).card = (Ioc a b).card - 1 :=
@card_Ioo_eq_card_Ico_sub_one αᵒᵈ _ _ _ _
#align finset.card_Ioo_eq_card_Ioc_sub_one Finset.card_Ioo_eq_card_Ioc_sub_one
theorem card_Ioo_eq_card_Icc_sub_two (a b : α) : (Ioo a b).card = (Icc a b).card - 2 := by
rw [card_Ioo_eq_card_Ico_sub_one, card_Ico_eq_card_Icc_sub_one]
rfl
#align finset.card_Ioo_eq_card_Icc_sub_two Finset.card_Ioo_eq_card_Icc_sub_two
end PartialOrder
section BoundedPartialOrder
variable [PartialOrder α]
section OrderTop
variable [LocallyFiniteOrderTop α]
@[simp]
theorem Ici_erase [DecidableEq α] (a : α) : (Ici a).erase a = Ioi a := by
ext
simp_rw [Finset.mem_erase, mem_Ici, mem_Ioi, lt_iff_le_and_ne, and_comm, ne_comm]
#align finset.Ici_erase Finset.Ici_erase
@[simp]
theorem Ioi_insert [DecidableEq α] (a : α) : insert a (Ioi a) = Ici a := by
ext
simp_rw [Finset.mem_insert, mem_Ici, mem_Ioi, le_iff_lt_or_eq, or_comm, eq_comm]
#align finset.Ioi_insert Finset.Ioi_insert
-- porting note (#10618): simp can prove this
-- @[simp]
theorem not_mem_Ioi_self {b : α} : b ∉ Ioi b := fun h => lt_irrefl _ (mem_Ioi.1 h)
#align finset.not_mem_Ioi_self Finset.not_mem_Ioi_self
-- Purposefully written the other way around
/-- `Finset.cons` version of `Finset.Ioi_insert`. -/
theorem Ici_eq_cons_Ioi (a : α) : Ici a = (Ioi a).cons a not_mem_Ioi_self := by
classical rw [cons_eq_insert, Ioi_insert]
#align finset.Ici_eq_cons_Ioi Finset.Ici_eq_cons_Ioi
theorem card_Ioi_eq_card_Ici_sub_one (a : α) : (Ioi a).card = (Ici a).card - 1 := by
rw [Ici_eq_cons_Ioi, card_cons, Nat.add_sub_cancel_right]
#align finset.card_Ioi_eq_card_Ici_sub_one Finset.card_Ioi_eq_card_Ici_sub_one
end OrderTop
section OrderBot
variable [LocallyFiniteOrderBot α]
@[simp]
theorem Iic_erase [DecidableEq α] (b : α) : (Iic b).erase b = Iio b := by
ext
simp_rw [Finset.mem_erase, mem_Iic, mem_Iio, lt_iff_le_and_ne, and_comm]
#align finset.Iic_erase Finset.Iic_erase
@[simp]
theorem Iio_insert [DecidableEq α] (b : α) : insert b (Iio b) = Iic b := by
ext
simp_rw [Finset.mem_insert, mem_Iic, mem_Iio, le_iff_lt_or_eq, or_comm]
#align finset.Iio_insert Finset.Iio_insert
-- porting note (#10618): simp can prove this
-- @[simp]
theorem not_mem_Iio_self {b : α} : b ∉ Iio b := fun h => lt_irrefl _ (mem_Iio.1 h)
#align finset.not_mem_Iio_self Finset.not_mem_Iio_self
-- Purposefully written the other way around
/-- `Finset.cons` version of `Finset.Iio_insert`. -/
theorem Iic_eq_cons_Iio (b : α) : Iic b = (Iio b).cons b not_mem_Iio_self := by
classical rw [cons_eq_insert, Iio_insert]
#align finset.Iic_eq_cons_Iio Finset.Iic_eq_cons_Iio
theorem card_Iio_eq_card_Iic_sub_one (a : α) : (Iio a).card = (Iic a).card - 1 := by
rw [Iic_eq_cons_Iio, card_cons, Nat.add_sub_cancel_right]
#align finset.card_Iio_eq_card_Iic_sub_one Finset.card_Iio_eq_card_Iic_sub_one
end OrderBot
end BoundedPartialOrder
section SemilatticeSup
variable [SemilatticeSup α] [LocallyFiniteOrderBot α]
-- TODO: Why does `id_eq` simplify the LHS here but not the LHS of `Finset.sup_Iic`?
lemma sup'_Iic (a : α) : (Iic a).sup' nonempty_Iic id = a :=
le_antisymm (sup'_le _ _ fun _ ↦ mem_Iic.1) <| le_sup' (f := id) <| mem_Iic.2 <| le_refl a
@[simp] lemma sup_Iic [OrderBot α] (a : α) : (Iic a).sup id = a :=
le_antisymm (Finset.sup_le fun _ ↦ mem_Iic.1) <| le_sup (f := id) <| mem_Iic.2 <| le_refl a
end SemilatticeSup
section SemilatticeInf
variable [SemilatticeInf α] [LocallyFiniteOrderTop α]
lemma inf'_Ici (a : α) : (Ici a).inf' nonempty_Ici id = a :=
ge_antisymm (le_inf' _ _ fun _ ↦ mem_Ici.1) <| inf'_le (f := id) <| mem_Ici.2 <| le_refl a
@[simp] lemma inf_Ici [OrderTop α] (a : α) : (Ici a).inf id = a :=
le_antisymm (inf_le (f := id) <| mem_Ici.2 <| le_refl a) <| Finset.le_inf fun _ ↦ mem_Ici.1
end SemilatticeInf
section LinearOrder
variable [LinearOrder α]
section LocallyFiniteOrder
variable [LocallyFiniteOrder α] {a b : α}
theorem Ico_subset_Ico_iff {a₁ b₁ a₂ b₂ : α} (h : a₁ < b₁) :
Ico a₁ b₁ ⊆ Ico a₂ b₂ ↔ a₂ ≤ a₁ ∧ b₁ ≤ b₂ := by
rw [← coe_subset, coe_Ico, coe_Ico, Set.Ico_subset_Ico_iff h]
#align finset.Ico_subset_Ico_iff Finset.Ico_subset_Ico_iff
| Mathlib/Order/Interval/Finset/Basic.lean | 790 | 792 | theorem Ico_union_Ico_eq_Ico {a b c : α} (hab : a ≤ b) (hbc : b ≤ c) :
Ico a b ∪ Ico b c = Ico a c := by |
rw [← coe_inj, coe_union, coe_Ico, coe_Ico, coe_Ico, Set.Ico_union_Ico_eq_Ico hab hbc]
|
/-
Copyright (c) 2021 Floris van Doorn. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Floris van Doorn
-/
import Mathlib.MeasureTheory.Constructions.Prod.Basic
import Mathlib.MeasureTheory.Group.Measure
#align_import measure_theory.group.prod from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844"
/-!
# Measure theory in the product of groups
In this file we show properties about measure theory in products of measurable groups
and properties of iterated integrals in measurable groups.
These lemmas show the uniqueness of left invariant measures on measurable groups, up to
scaling. In this file we follow the proof and refer to the book *Measure Theory* by Paul Halmos.
The idea of the proof is to use the translation invariance of measures to prove `μ(t) = c * μ(s)`
for two sets `s` and `t`, where `c` is a constant that does not depend on `μ`. Let `e` and `f` be
the characteristic functions of `s` and `t`.
Assume that `μ` and `ν` are left-invariant measures. Then the map `(x, y) ↦ (y * x, x⁻¹)`
preserves the measure `μ × ν`, which means that
```
∫ x, ∫ y, h x y ∂ν ∂μ = ∫ x, ∫ y, h (y * x) x⁻¹ ∂ν ∂μ
```
If we apply this to `h x y := e x * f y⁻¹ / ν ((fun h ↦ h * y⁻¹) ⁻¹' s)`, we can rewrite the RHS to
`μ(t)`, and the LHS to `c * μ(s)`, where `c = c(ν)` does not depend on `μ`.
Applying this to `μ` and to `ν` gives `μ (t) / μ (s) = ν (t) / ν (s)`, which is the uniqueness up to
scalar multiplication.
The proof in [Halmos] seems to contain an omission in §60 Th. A, see
`MeasureTheory.measure_lintegral_div_measure`.
Note that this theory only applies in measurable groups, i.e., when multiplication and inversion
are measurable. This is not the case in general in locally compact groups, or even in compact
groups, when the topology is not second-countable. For arguments along the same line, but using
continuous functions instead of measurable sets and working in the general locally compact
setting, see the file `MeasureTheory.Measure.Haar.Unique.lean`.
-/
noncomputable section
open Set hiding prod_eq
open Function MeasureTheory
open Filter hiding map
open scoped Classical ENNReal Pointwise MeasureTheory
variable (G : Type*) [MeasurableSpace G]
variable [Group G] [MeasurableMul₂ G]
variable (μ ν : Measure G) [SigmaFinite ν] [SigmaFinite μ] {s : Set G}
/-- The map `(x, y) ↦ (x, xy)` as a `MeasurableEquiv`. -/
@[to_additive "The map `(x, y) ↦ (x, x + y)` as a `MeasurableEquiv`."]
protected def MeasurableEquiv.shearMulRight [MeasurableInv G] : G × G ≃ᵐ G × G :=
{ Equiv.prodShear (Equiv.refl _) Equiv.mulLeft with
measurable_toFun := measurable_fst.prod_mk measurable_mul
measurable_invFun := measurable_fst.prod_mk <| measurable_fst.inv.mul measurable_snd }
#align measurable_equiv.shear_mul_right MeasurableEquiv.shearMulRight
#align measurable_equiv.shear_add_right MeasurableEquiv.shearAddRight
/-- The map `(x, y) ↦ (x, y / x)` as a `MeasurableEquiv` with as inverse `(x, y) ↦ (x, yx)` -/
@[to_additive
"The map `(x, y) ↦ (x, y - x)` as a `MeasurableEquiv` with as inverse `(x, y) ↦ (x, y + x)`."]
protected def MeasurableEquiv.shearDivRight [MeasurableInv G] : G × G ≃ᵐ G × G :=
{ Equiv.prodShear (Equiv.refl _) Equiv.divRight with
measurable_toFun := measurable_fst.prod_mk <| measurable_snd.div measurable_fst
measurable_invFun := measurable_fst.prod_mk <| measurable_snd.mul measurable_fst }
#align measurable_equiv.shear_div_right MeasurableEquiv.shearDivRight
#align measurable_equiv.shear_sub_right MeasurableEquiv.shearSubRight
variable {G}
namespace MeasureTheory
open Measure
section LeftInvariant
/-- The multiplicative shear mapping `(x, y) ↦ (x, xy)` preserves the measure `μ × ν`.
This condition is part of the definition of a measurable group in [Halmos, §59].
There, the map in this lemma is called `S`. -/
@[to_additive measurePreserving_prod_add
" The shear mapping `(x, y) ↦ (x, x + y)` preserves the measure `μ × ν`. "]
theorem measurePreserving_prod_mul [IsMulLeftInvariant ν] :
MeasurePreserving (fun z : G × G => (z.1, z.1 * z.2)) (μ.prod ν) (μ.prod ν) :=
(MeasurePreserving.id μ).skew_product measurable_mul <|
Filter.eventually_of_forall <| map_mul_left_eq_self ν
#align measure_theory.measure_preserving_prod_mul MeasureTheory.measurePreserving_prod_mul
#align measure_theory.measure_preserving_prod_add MeasureTheory.measurePreserving_prod_add
/-- The map `(x, y) ↦ (y, yx)` sends the measure `μ × ν` to `ν × μ`.
This is the map `SR` in [Halmos, §59].
`S` is the map `(x, y) ↦ (x, xy)` and `R` is `Prod.swap`. -/
@[to_additive measurePreserving_prod_add_swap
" The map `(x, y) ↦ (y, y + x)` sends the measure `μ × ν` to `ν × μ`. "]
theorem measurePreserving_prod_mul_swap [IsMulLeftInvariant μ] :
MeasurePreserving (fun z : G × G => (z.2, z.2 * z.1)) (μ.prod ν) (ν.prod μ) :=
(measurePreserving_prod_mul ν μ).comp measurePreserving_swap
#align measure_theory.measure_preserving_prod_mul_swap MeasureTheory.measurePreserving_prod_mul_swap
#align measure_theory.measure_preserving_prod_add_swap MeasureTheory.measurePreserving_prod_add_swap
@[to_additive]
theorem measurable_measure_mul_right (hs : MeasurableSet s) :
Measurable fun x => μ ((fun y => y * x) ⁻¹' s) := by
suffices
Measurable fun y =>
μ ((fun x => (x, y)) ⁻¹' ((fun z : G × G => ((1 : G), z.1 * z.2)) ⁻¹' univ ×ˢ s))
by convert this using 1; ext1 x; congr 1 with y : 1; simp
apply measurable_measure_prod_mk_right
apply measurable_const.prod_mk measurable_mul (MeasurableSet.univ.prod hs)
infer_instance
#align measure_theory.measurable_measure_mul_right MeasureTheory.measurable_measure_mul_right
#align measure_theory.measurable_measure_add_right MeasureTheory.measurable_measure_add_right
variable [MeasurableInv G]
/-- The map `(x, y) ↦ (x, x⁻¹y)` is measure-preserving.
This is the function `S⁻¹` in [Halmos, §59],
where `S` is the map `(x, y) ↦ (x, xy)`. -/
@[to_additive measurePreserving_prod_neg_add
"The map `(x, y) ↦ (x, - x + y)` is measure-preserving."]
theorem measurePreserving_prod_inv_mul [IsMulLeftInvariant ν] :
MeasurePreserving (fun z : G × G => (z.1, z.1⁻¹ * z.2)) (μ.prod ν) (μ.prod ν) :=
(measurePreserving_prod_mul μ ν).symm <| MeasurableEquiv.shearMulRight G
#align measure_theory.measure_preserving_prod_inv_mul MeasureTheory.measurePreserving_prod_inv_mul
#align measure_theory.measure_preserving_prod_neg_add MeasureTheory.measurePreserving_prod_neg_add
variable [IsMulLeftInvariant μ]
/-- The map `(x, y) ↦ (y, y⁻¹x)` sends `μ × ν` to `ν × μ`.
This is the function `S⁻¹R` in [Halmos, §59],
where `S` is the map `(x, y) ↦ (x, xy)` and `R` is `Prod.swap`. -/
@[to_additive measurePreserving_prod_neg_add_swap
"The map `(x, y) ↦ (y, - y + x)` sends `μ × ν` to `ν × μ`."]
theorem measurePreserving_prod_inv_mul_swap :
MeasurePreserving (fun z : G × G => (z.2, z.2⁻¹ * z.1)) (μ.prod ν) (ν.prod μ) :=
(measurePreserving_prod_inv_mul ν μ).comp measurePreserving_swap
#align measure_theory.measure_preserving_prod_inv_mul_swap MeasureTheory.measurePreserving_prod_inv_mul_swap
#align measure_theory.measure_preserving_prod_neg_add_swap MeasureTheory.measurePreserving_prod_neg_add_swap
/-- The map `(x, y) ↦ (yx, x⁻¹)` is measure-preserving.
This is the function `S⁻¹RSR` in [Halmos, §59],
where `S` is the map `(x, y) ↦ (x, xy)` and `R` is `Prod.swap`. -/
@[to_additive measurePreserving_add_prod_neg
"The map `(x, y) ↦ (y + x, - x)` is measure-preserving."]
theorem measurePreserving_mul_prod_inv [IsMulLeftInvariant ν] :
MeasurePreserving (fun z : G × G => (z.2 * z.1, z.1⁻¹)) (μ.prod ν) (μ.prod ν) := by
convert (measurePreserving_prod_inv_mul_swap ν μ).comp (measurePreserving_prod_mul_swap μ ν)
using 1
ext1 ⟨x, y⟩
simp_rw [Function.comp_apply, mul_inv_rev, inv_mul_cancel_right]
#align measure_theory.measure_preserving_mul_prod_inv MeasureTheory.measurePreserving_mul_prod_inv
#align measure_theory.measure_preserving_add_prod_neg MeasureTheory.measurePreserving_add_prod_neg
@[to_additive]
theorem quasiMeasurePreserving_inv : QuasiMeasurePreserving (Inv.inv : G → G) μ μ := by
refine ⟨measurable_inv, AbsolutelyContinuous.mk fun s hsm hμs => ?_⟩
rw [map_apply measurable_inv hsm, inv_preimage]
have hf : Measurable fun z : G × G => (z.2 * z.1, z.1⁻¹) :=
(measurable_snd.mul measurable_fst).prod_mk measurable_fst.inv
suffices map (fun z : G × G => (z.2 * z.1, z.1⁻¹)) (μ.prod μ) (s⁻¹ ×ˢ s⁻¹) = 0 by
simpa only [(measurePreserving_mul_prod_inv μ μ).map_eq, prod_prod, mul_eq_zero (M₀ := ℝ≥0∞),
or_self_iff] using this
have hsm' : MeasurableSet (s⁻¹ ×ˢ s⁻¹) := hsm.inv.prod hsm.inv
simp_rw [map_apply hf hsm', prod_apply_symm (μ := μ) (ν := μ) (hf hsm'), preimage_preimage,
mk_preimage_prod, inv_preimage, inv_inv, measure_mono_null inter_subset_right hμs,
lintegral_zero]
#align measure_theory.quasi_measure_preserving_inv MeasureTheory.quasiMeasurePreserving_inv
#align measure_theory.quasi_measure_preserving_neg MeasureTheory.quasiMeasurePreserving_neg
@[to_additive]
theorem measure_inv_null : μ s⁻¹ = 0 ↔ μ s = 0 := by
refine ⟨fun hs => ?_, (quasiMeasurePreserving_inv μ).preimage_null⟩
rw [← inv_inv s]
exact (quasiMeasurePreserving_inv μ).preimage_null hs
#align measure_theory.measure_inv_null MeasureTheory.measure_inv_null
#align measure_theory.measure_neg_null MeasureTheory.measure_neg_null
@[to_additive]
theorem inv_absolutelyContinuous : μ.inv ≪ μ :=
(quasiMeasurePreserving_inv μ).absolutelyContinuous
#align measure_theory.inv_absolutely_continuous MeasureTheory.inv_absolutelyContinuous
#align measure_theory.neg_absolutely_continuous MeasureTheory.neg_absolutelyContinuous
@[to_additive]
theorem absolutelyContinuous_inv : μ ≪ μ.inv := by
refine AbsolutelyContinuous.mk fun s _ => ?_
simp_rw [inv_apply μ s, measure_inv_null, imp_self]
#align measure_theory.absolutely_continuous_inv MeasureTheory.absolutelyContinuous_inv
#align measure_theory.absolutely_continuous_neg MeasureTheory.absolutelyContinuous_neg
@[to_additive]
theorem lintegral_lintegral_mul_inv [IsMulLeftInvariant ν] (f : G → G → ℝ≥0∞)
(hf : AEMeasurable (uncurry f) (μ.prod ν)) :
(∫⁻ x, ∫⁻ y, f (y * x) x⁻¹ ∂ν ∂μ) = ∫⁻ x, ∫⁻ y, f x y ∂ν ∂μ := by
have h : Measurable fun z : G × G => (z.2 * z.1, z.1⁻¹) :=
(measurable_snd.mul measurable_fst).prod_mk measurable_fst.inv
have h2f : AEMeasurable (uncurry fun x y => f (y * x) x⁻¹) (μ.prod ν) :=
hf.comp_quasiMeasurePreserving (measurePreserving_mul_prod_inv μ ν).quasiMeasurePreserving
simp_rw [lintegral_lintegral h2f, lintegral_lintegral hf]
conv_rhs => rw [← (measurePreserving_mul_prod_inv μ ν).map_eq]
symm
exact
lintegral_map' (hf.mono' (measurePreserving_mul_prod_inv μ ν).map_eq.absolutelyContinuous)
h.aemeasurable
#align measure_theory.lintegral_lintegral_mul_inv MeasureTheory.lintegral_lintegral_mul_inv
#align measure_theory.lintegral_lintegral_add_neg MeasureTheory.lintegral_lintegral_add_neg
@[to_additive]
theorem measure_mul_right_null (y : G) : μ ((fun x => x * y) ⁻¹' s) = 0 ↔ μ s = 0 :=
calc
μ ((fun x => x * y) ⁻¹' s) = 0 ↔ μ ((fun x => y⁻¹ * x) ⁻¹' s⁻¹)⁻¹ = 0 := by
simp_rw [← inv_preimage, preimage_preimage, mul_inv_rev, inv_inv]
_ ↔ μ s = 0 := by simp only [measure_inv_null μ, measure_preimage_mul]
#align measure_theory.measure_mul_right_null MeasureTheory.measure_mul_right_null
#align measure_theory.measure_add_right_null MeasureTheory.measure_add_right_null
@[to_additive]
theorem measure_mul_right_ne_zero (h2s : μ s ≠ 0) (y : G) : μ ((fun x => x * y) ⁻¹' s) ≠ 0 :=
(not_congr (measure_mul_right_null μ y)).mpr h2s
#align measure_theory.measure_mul_right_ne_zero MeasureTheory.measure_mul_right_ne_zero
#align measure_theory.measure_add_right_ne_zero MeasureTheory.measure_add_right_ne_zero
@[to_additive]
theorem absolutelyContinuous_map_mul_right (g : G) : μ ≪ map (· * g) μ := by
refine AbsolutelyContinuous.mk fun s hs => ?_
rw [map_apply (measurable_mul_const g) hs, measure_mul_right_null]; exact id
#align measure_theory.absolutely_continuous_map_mul_right MeasureTheory.absolutelyContinuous_map_mul_right
#align measure_theory.absolutely_continuous_map_add_right MeasureTheory.absolutelyContinuous_map_add_right
@[to_additive]
theorem absolutelyContinuous_map_div_left (g : G) : μ ≪ map (fun h => g / h) μ := by
simp_rw [div_eq_mul_inv]
erw [← map_map (measurable_const_mul g) measurable_inv]
conv_lhs => rw [← map_mul_left_eq_self μ g]
exact (absolutelyContinuous_inv μ).map (measurable_const_mul g)
#align measure_theory.absolutely_continuous_map_div_left MeasureTheory.absolutelyContinuous_map_div_left
#align measure_theory.absolutely_continuous_map_sub_left MeasureTheory.absolutelyContinuous_map_sub_left
/-- This is the computation performed in the proof of [Halmos, §60 Th. A]. -/
@[to_additive "This is the computation performed in the proof of [Halmos, §60 Th. A]."]
theorem measure_mul_lintegral_eq [IsMulLeftInvariant ν] (sm : MeasurableSet s) (f : G → ℝ≥0∞)
(hf : Measurable f) : (μ s * ∫⁻ y, f y ∂ν) = ∫⁻ x, ν ((fun z => z * x) ⁻¹' s) * f x⁻¹ ∂μ := by
rw [← set_lintegral_one, ← lintegral_indicator _ sm,
← lintegral_lintegral_mul (measurable_const.indicator sm).aemeasurable hf.aemeasurable,
← lintegral_lintegral_mul_inv μ ν]
swap
· exact (((measurable_const.indicator sm).comp measurable_fst).mul
(hf.comp measurable_snd)).aemeasurable
have ms :
∀ x : G, Measurable fun y => ((fun z => z * x) ⁻¹' s).indicator (fun _ => (1 : ℝ≥0∞)) y :=
fun x => measurable_const.indicator (measurable_mul_const _ sm)
have : ∀ x y, s.indicator (fun _ : G => (1 : ℝ≥0∞)) (y * x) =
((fun z => z * x) ⁻¹' s).indicator (fun b : G => 1) y := by
intro x y; symm; convert indicator_comp_right (M := ℝ≥0∞) fun y => y * x using 2; ext1; rfl
simp_rw [this, lintegral_mul_const _ (ms _), lintegral_indicator _ (measurable_mul_const _ sm),
set_lintegral_one]
#align measure_theory.measure_mul_lintegral_eq MeasureTheory.measure_mul_lintegral_eq
#align measure_theory.measure_add_lintegral_eq MeasureTheory.measure_add_lintegral_eq
/-- Any two nonzero left-invariant measures are absolutely continuous w.r.t. each other. -/
@[to_additive
" Any two nonzero left-invariant measures are absolutely continuous w.r.t. each other. "]
theorem absolutelyContinuous_of_isMulLeftInvariant [IsMulLeftInvariant ν] (hν : ν ≠ 0) : μ ≪ ν := by
refine AbsolutelyContinuous.mk fun s sm hνs => ?_
have h1 := measure_mul_lintegral_eq μ ν sm 1 measurable_one
simp_rw [Pi.one_apply, lintegral_one, mul_one, (measure_mul_right_null ν _).mpr hνs,
lintegral_zero, mul_eq_zero (M₀ := ℝ≥0∞), measure_univ_eq_zero.not.mpr hν, or_false_iff] at h1
exact h1
#align measure_theory.absolutely_continuous_of_is_mul_left_invariant MeasureTheory.absolutelyContinuous_of_isMulLeftInvariant
#align measure_theory.absolutely_continuous_of_is_add_left_invariant MeasureTheory.absolutelyContinuous_of_isAddLeftInvariant
@[to_additive]
theorem ae_measure_preimage_mul_right_lt_top [IsMulLeftInvariant ν] (sm : MeasurableSet s)
(hμs : μ s ≠ ∞) : ∀ᵐ x ∂μ, ν ((fun y => y * x) ⁻¹' s) < ∞ := by
refine ae_of_forall_measure_lt_top_ae_restrict' ν.inv _ ?_
intro A hA _ h3A
simp only [ν.inv_apply] at h3A
apply ae_lt_top (measurable_measure_mul_right ν sm)
have h1 := measure_mul_lintegral_eq μ ν sm (A⁻¹.indicator 1) (measurable_one.indicator hA.inv)
rw [lintegral_indicator _ hA.inv] at h1
simp_rw [Pi.one_apply, set_lintegral_one, ← image_inv, indicator_image inv_injective, image_inv, ←
indicator_mul_right _ fun x => ν ((fun y => y * x) ⁻¹' s), Function.comp, Pi.one_apply,
mul_one] at h1
rw [← lintegral_indicator _ hA, ← h1]
exact ENNReal.mul_ne_top hμs h3A.ne
#align measure_theory.ae_measure_preimage_mul_right_lt_top MeasureTheory.ae_measure_preimage_mul_right_lt_top
#align measure_theory.ae_measure_preimage_add_right_lt_top MeasureTheory.ae_measure_preimage_add_right_lt_top
@[to_additive]
theorem ae_measure_preimage_mul_right_lt_top_of_ne_zero [IsMulLeftInvariant ν]
(sm : MeasurableSet s) (h2s : ν s ≠ 0) (h3s : ν s ≠ ∞) :
∀ᵐ x ∂μ, ν ((fun y => y * x) ⁻¹' s) < ∞ := by
refine (ae_measure_preimage_mul_right_lt_top ν ν sm h3s).filter_mono ?_
refine (absolutelyContinuous_of_isMulLeftInvariant μ ν ?_).ae_le
refine mt ?_ h2s
intro hν
rw [hν, Measure.coe_zero, Pi.zero_apply]
#align measure_theory.ae_measure_preimage_mul_right_lt_top_of_ne_zero MeasureTheory.ae_measure_preimage_mul_right_lt_top_of_ne_zero
#align measure_theory.ae_measure_preimage_add_right_lt_top_of_ne_zero MeasureTheory.ae_measure_preimage_add_right_lt_top_of_ne_zero
/-- A technical lemma relating two different measures. This is basically [Halmos, §60 Th. A].
Note that if `f` is the characteristic function of a measurable set `t` this states that
`μ t = c * μ s` for a constant `c` that does not depend on `μ`.
Note: There is a gap in the last step of the proof in [Halmos].
In the last line, the equality `g(x⁻¹)ν(sx⁻¹) = f(x)` holds if we can prove that
`0 < ν(sx⁻¹) < ∞`. The first inequality follows from §59, Th. D, but the second inequality is
not justified. We prove this inequality for almost all `x` in
`MeasureTheory.ae_measure_preimage_mul_right_lt_top_of_ne_zero`. -/
@[to_additive
"A technical lemma relating two different measures. This is basically [Halmos, §60 Th. A]. Note that
if `f` is the characteristic function of a measurable set `t` this states that `μ t = c * μ s` for a
constant `c` that does not depend on `μ`.
Note: There is a gap in the last step of the proof in [Halmos]. In the last line, the equality
`g(-x) + ν(s - x) = f(x)` holds if we can prove that `0 < ν(s - x) < ∞`. The first inequality
follows from §59, Th. D, but the second inequality is not justified. We prove this inequality for
almost all `x` in `MeasureTheory.ae_measure_preimage_add_right_lt_top_of_ne_zero`."]
theorem measure_lintegral_div_measure [IsMulLeftInvariant ν] (sm : MeasurableSet s) (h2s : ν s ≠ 0)
(h3s : ν s ≠ ∞) (f : G → ℝ≥0∞) (hf : Measurable f) :
(μ s * ∫⁻ y, f y⁻¹ / ν ((fun x => x * y⁻¹) ⁻¹' s) ∂ν) = ∫⁻ x, f x ∂μ := by
set g := fun y => f y⁻¹ / ν ((fun x => x * y⁻¹) ⁻¹' s)
have hg : Measurable g :=
(hf.comp measurable_inv).div ((measurable_measure_mul_right ν sm).comp measurable_inv)
simp_rw [measure_mul_lintegral_eq μ ν sm g hg, g, inv_inv]
refine lintegral_congr_ae ?_
refine (ae_measure_preimage_mul_right_lt_top_of_ne_zero μ ν sm h2s h3s).mono fun x hx => ?_
simp_rw [ENNReal.mul_div_cancel' (measure_mul_right_ne_zero ν h2s _) hx.ne]
#align measure_theory.measure_lintegral_div_measure MeasureTheory.measure_lintegral_div_measure
#align measure_theory.measure_lintegral_sub_measure MeasureTheory.measure_lintegral_sub_measure
@[to_additive]
theorem measure_mul_measure_eq [IsMulLeftInvariant ν] {s t : Set G} (hs : MeasurableSet s)
(ht : MeasurableSet t) (h2s : ν s ≠ 0) (h3s : ν s ≠ ∞) : μ s * ν t = ν s * μ t := by
have h1 :=
measure_lintegral_div_measure ν ν hs h2s h3s (t.indicator fun _ => 1)
(measurable_const.indicator ht)
have h2 :=
measure_lintegral_div_measure μ ν hs h2s h3s (t.indicator fun _ => 1)
(measurable_const.indicator ht)
rw [lintegral_indicator _ ht, set_lintegral_one] at h1 h2
rw [← h1, mul_left_comm, h2]
#align measure_theory.measure_mul_measure_eq MeasureTheory.measure_mul_measure_eq
#align measure_theory.measure_add_measure_eq MeasureTheory.measure_add_measure_eq
/-- Left invariant Borel measures on a measurable group are unique (up to a scalar). -/
@[to_additive
" Left invariant Borel measures on an additive measurable group are unique (up to a scalar). "]
theorem measure_eq_div_smul [IsMulLeftInvariant ν] (hs : MeasurableSet s) (h2s : ν s ≠ 0)
(h3s : ν s ≠ ∞) : μ = (μ s / ν s) • ν := by
ext1 t ht
rw [smul_apply, smul_eq_mul, mul_comm, ← mul_div_assoc, mul_comm,
measure_mul_measure_eq μ ν hs ht h2s h3s, mul_div_assoc, ENNReal.mul_div_cancel' h2s h3s]
#align measure_theory.measure_eq_div_smul MeasureTheory.measure_eq_div_smul
#align measure_theory.measure_eq_sub_vadd MeasureTheory.measure_eq_sub_vadd
end LeftInvariant
section RightInvariant
@[to_additive measurePreserving_prod_add_right]
theorem measurePreserving_prod_mul_right [IsMulRightInvariant ν] :
MeasurePreserving (fun z : G × G => (z.1, z.2 * z.1)) (μ.prod ν) (μ.prod ν) :=
MeasurePreserving.skew_product (g := fun x y => y * x) (MeasurePreserving.id μ)
(measurable_snd.mul measurable_fst) <| Filter.eventually_of_forall <| map_mul_right_eq_self ν
#align measure_theory.measure_preserving_prod_mul_right MeasureTheory.measurePreserving_prod_mul_right
#align measure_theory.measure_preserving_prod_add_right MeasureTheory.measurePreserving_prod_add_right
/-- The map `(x, y) ↦ (y, xy)` sends the measure `μ × ν` to `ν × μ`. -/
@[to_additive measurePreserving_prod_add_swap_right
" The map `(x, y) ↦ (y, x + y)` sends the measure `μ × ν` to `ν × μ`. "]
theorem measurePreserving_prod_mul_swap_right [IsMulRightInvariant μ] :
MeasurePreserving (fun z : G × G => (z.2, z.1 * z.2)) (μ.prod ν) (ν.prod μ) :=
(measurePreserving_prod_mul_right ν μ).comp measurePreserving_swap
#align measure_theory.measure_preserving_prod_mul_swap_right MeasureTheory.measurePreserving_prod_mul_swap_right
#align measure_theory.measure_preserving_prod_add_swap_right MeasureTheory.measurePreserving_prod_add_swap_right
/-- The map `(x, y) ↦ (xy, y)` preserves the measure `μ × ν`. -/
@[to_additive measurePreserving_add_prod
" The map `(x, y) ↦ (x + y, y)` preserves the measure `μ × ν`. "]
theorem measurePreserving_mul_prod [IsMulRightInvariant μ] :
MeasurePreserving (fun z : G × G => (z.1 * z.2, z.2)) (μ.prod ν) (μ.prod ν) :=
measurePreserving_swap.comp <| by apply measurePreserving_prod_mul_swap_right μ ν
#align measure_theory.measure_preserving_mul_prod MeasureTheory.measurePreserving_mul_prod
#align measure_theory.measure_preserving_add_prod MeasureTheory.measurePreserving_add_prod
variable [MeasurableInv G]
/-- The map `(x, y) ↦ (x, y / x)` is measure-preserving. -/
@[to_additive measurePreserving_prod_sub "The map `(x, y) ↦ (x, y - x)` is measure-preserving."]
theorem measurePreserving_prod_div [IsMulRightInvariant ν] :
MeasurePreserving (fun z : G × G => (z.1, z.2 / z.1)) (μ.prod ν) (μ.prod ν) :=
(measurePreserving_prod_mul_right μ ν).symm (MeasurableEquiv.shearDivRight G).symm
#align measure_theory.measure_preserving_prod_div MeasureTheory.measurePreserving_prod_div
#align measure_theory.measure_preserving_prod_sub MeasureTheory.measurePreserving_prod_sub
/-- The map `(x, y) ↦ (y, x / y)` sends `μ × ν` to `ν × μ`. -/
@[to_additive measurePreserving_prod_sub_swap
"The map `(x, y) ↦ (y, x - y)` sends `μ × ν` to `ν × μ`."]
theorem measurePreserving_prod_div_swap [IsMulRightInvariant μ] :
MeasurePreserving (fun z : G × G => (z.2, z.1 / z.2)) (μ.prod ν) (ν.prod μ) :=
(measurePreserving_prod_div ν μ).comp measurePreserving_swap
#align measure_theory.measure_preserving_prod_div_swap MeasureTheory.measurePreserving_prod_div_swap
#align measure_theory.measure_preserving_prod_sub_swap MeasureTheory.measurePreserving_prod_sub_swap
/-- The map `(x, y) ↦ (x / y, y)` preserves the measure `μ × ν`. -/
@[to_additive measurePreserving_sub_prod
" The map `(x, y) ↦ (x - y, y)` preserves the measure `μ × ν`. "]
theorem measurePreserving_div_prod [IsMulRightInvariant μ] :
MeasurePreserving (fun z : G × G => (z.1 / z.2, z.2)) (μ.prod ν) (μ.prod ν) :=
measurePreserving_swap.comp <| by apply measurePreserving_prod_div_swap μ ν
#align measure_theory.measure_preserving_div_prod MeasureTheory.measurePreserving_div_prod
#align measure_theory.measure_preserving_sub_prod MeasureTheory.measurePreserving_sub_prod
/-- The map `(x, y) ↦ (xy, x⁻¹)` is measure-preserving. -/
@[to_additive measurePreserving_add_prod_neg_right
"The map `(x, y) ↦ (x + y, - x)` is measure-preserving."]
theorem measurePreserving_mul_prod_inv_right [IsMulRightInvariant μ] [IsMulRightInvariant ν] :
MeasurePreserving (fun z : G × G => (z.1 * z.2, z.1⁻¹)) (μ.prod ν) (μ.prod ν) := by
convert (measurePreserving_prod_div_swap ν μ).comp (measurePreserving_prod_mul_swap_right μ ν)
using 1
ext1 ⟨x, y⟩
simp_rw [Function.comp_apply, div_mul_eq_div_div_swap, div_self', one_div]
#align measure_theory.measure_preserving_mul_prod_inv_right MeasureTheory.measurePreserving_mul_prod_inv_right
#align measure_theory.measure_preserving_add_prod_neg_right MeasureTheory.measurePreserving_add_prod_neg_right
end RightInvariant
section QuasiMeasurePreserving
variable [MeasurableInv G]
@[to_additive]
theorem quasiMeasurePreserving_inv_of_right_invariant [IsMulRightInvariant μ] :
QuasiMeasurePreserving (Inv.inv : G → G) μ μ := by
rw [← μ.inv_inv]
exact
(quasiMeasurePreserving_inv μ.inv).mono (inv_absolutelyContinuous μ.inv)
(absolutelyContinuous_inv μ.inv)
#align measure_theory.quasi_measure_preserving_inv_of_right_invariant MeasureTheory.quasiMeasurePreserving_inv_of_right_invariant
#align measure_theory.quasi_measure_preserving_neg_of_right_invariant MeasureTheory.quasiMeasurePreserving_neg_of_right_invariant
@[to_additive]
theorem quasiMeasurePreserving_div_left [IsMulLeftInvariant μ] (g : G) :
QuasiMeasurePreserving (fun h : G => g / h) μ μ := by
simp_rw [div_eq_mul_inv]
exact
(measurePreserving_mul_left μ g).quasiMeasurePreserving.comp (quasiMeasurePreserving_inv μ)
#align measure_theory.quasi_measure_preserving_div_left MeasureTheory.quasiMeasurePreserving_div_left
#align measure_theory.quasi_measure_preserving_sub_left MeasureTheory.quasiMeasurePreserving_sub_left
@[to_additive]
| Mathlib/MeasureTheory/Group/Prod.lean | 459 | 464 | theorem quasiMeasurePreserving_div_left_of_right_invariant [IsMulRightInvariant μ] (g : G) :
QuasiMeasurePreserving (fun h : G => g / h) μ μ := by |
rw [← μ.inv_inv]
exact
(quasiMeasurePreserving_div_left μ.inv g).mono (inv_absolutelyContinuous μ.inv)
(absolutelyContinuous_inv μ.inv)
|
/-
Copyright (c) 2018 Chris Hughes. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Chris Hughes
-/
import Mathlib.Data.Nat.ModEq
import Mathlib.Tactic.Abel
import Mathlib.Tactic.GCongr.Core
#align_import data.int.modeq from "leanprover-community/mathlib"@"47a1a73351de8dd6c8d3d32b569c8e434b03ca47"
/-!
# Congruences modulo an integer
This file defines the equivalence relation `a ≡ b [ZMOD n]` on the integers, similarly to how
`Data.Nat.ModEq` defines them for the natural numbers. The notation is short for `n.ModEq a b`,
which is defined to be `a % n = b % n` for integers `a b n`.
## Tags
modeq, congruence, mod, MOD, modulo, integers
-/
namespace Int
/-- `a ≡ b [ZMOD n]` when `a % n = b % n`. -/
def ModEq (n a b : ℤ) :=
a % n = b % n
#align int.modeq Int.ModEq
@[inherit_doc]
notation:50 a " ≡ " b " [ZMOD " n "]" => ModEq n a b
variable {m n a b c d : ℤ}
-- Porting note: This instance should be derivable automatically
instance : Decidable (ModEq n a b) := decEq (a % n) (b % n)
namespace ModEq
@[refl, simp]
protected theorem refl (a : ℤ) : a ≡ a [ZMOD n] :=
@rfl _ _
#align int.modeq.refl Int.ModEq.refl
protected theorem rfl : a ≡ a [ZMOD n] :=
ModEq.refl _
#align int.modeq.rfl Int.ModEq.rfl
instance : IsRefl _ (ModEq n) :=
⟨ModEq.refl⟩
@[symm]
protected theorem symm : a ≡ b [ZMOD n] → b ≡ a [ZMOD n] :=
Eq.symm
#align int.modeq.symm Int.ModEq.symm
@[trans]
protected theorem trans : a ≡ b [ZMOD n] → b ≡ c [ZMOD n] → a ≡ c [ZMOD n] :=
Eq.trans
#align int.modeq.trans Int.ModEq.trans
instance : IsTrans ℤ (ModEq n) where
trans := @Int.ModEq.trans n
protected theorem eq : a ≡ b [ZMOD n] → a % n = b % n := id
#align int.modeq.eq Int.ModEq.eq
end ModEq
theorem modEq_comm : a ≡ b [ZMOD n] ↔ b ≡ a [ZMOD n] := ⟨ModEq.symm, ModEq.symm⟩
#align int.modeq_comm Int.modEq_comm
theorem natCast_modEq_iff {a b n : ℕ} : a ≡ b [ZMOD n] ↔ a ≡ b [MOD n] := by
unfold ModEq Nat.ModEq; rw [← Int.ofNat_inj]; simp [natCast_mod]
#align int.coe_nat_modeq_iff Int.natCast_modEq_iff
theorem modEq_zero_iff_dvd : a ≡ 0 [ZMOD n] ↔ n ∣ a := by
rw [ModEq, zero_emod, dvd_iff_emod_eq_zero]
#align int.modeq_zero_iff_dvd Int.modEq_zero_iff_dvd
theorem _root_.Dvd.dvd.modEq_zero_int (h : n ∣ a) : a ≡ 0 [ZMOD n] :=
modEq_zero_iff_dvd.2 h
#align has_dvd.dvd.modeq_zero_int Dvd.dvd.modEq_zero_int
theorem _root_.Dvd.dvd.zero_modEq_int (h : n ∣ a) : 0 ≡ a [ZMOD n] :=
h.modEq_zero_int.symm
#align has_dvd.dvd.zero_modeq_int Dvd.dvd.zero_modEq_int
theorem modEq_iff_dvd : a ≡ b [ZMOD n] ↔ n ∣ b - a := by
rw [ModEq, eq_comm]
simp [emod_eq_emod_iff_emod_sub_eq_zero, dvd_iff_emod_eq_zero]
#align int.modeq_iff_dvd Int.modEq_iff_dvd
| Mathlib/Data/Int/ModEq.lean | 98 | 100 | theorem modEq_iff_add_fac {a b n : ℤ} : a ≡ b [ZMOD n] ↔ ∃ t, b = a + n * t := by |
rw [modEq_iff_dvd]
exact exists_congr fun t => sub_eq_iff_eq_add'
|
/-
Copyright (c) 2018 Kenny Lau. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kenny Lau
-/
import Mathlib.Data.Fin.VecNotation
import Mathlib.Logic.Embedding.Set
#align_import logic.equiv.fin from "leanprover-community/mathlib"@"bd835ef554f37ef9b804f0903089211f89cb370b"
/-!
# Equivalences for `Fin n`
-/
assert_not_exists MonoidWithZero
universe u
variable {m n : ℕ}
/-- Equivalence between `Fin 0` and `Empty`. -/
def finZeroEquiv : Fin 0 ≃ Empty :=
Equiv.equivEmpty _
#align fin_zero_equiv finZeroEquiv
/-- Equivalence between `Fin 0` and `PEmpty`. -/
def finZeroEquiv' : Fin 0 ≃ PEmpty.{u} :=
Equiv.equivPEmpty _
#align fin_zero_equiv' finZeroEquiv'
/-- Equivalence between `Fin 1` and `Unit`. -/
def finOneEquiv : Fin 1 ≃ Unit :=
Equiv.equivPUnit _
#align fin_one_equiv finOneEquiv
/-- Equivalence between `Fin 2` and `Bool`. -/
def finTwoEquiv : Fin 2 ≃ Bool where
toFun := ![false, true]
invFun b := b.casesOn 0 1
left_inv := Fin.forall_fin_two.2 <| by simp
right_inv := Bool.forall_bool.2 <| by simp
#align fin_two_equiv finTwoEquiv
/-- `Π i : Fin 2, α i` is equivalent to `α 0 × α 1`. See also `finTwoArrowEquiv` for a
non-dependent version and `prodEquivPiFinTwo` for a version with inputs `α β : Type u`. -/
@[simps (config := .asFn)]
def piFinTwoEquiv (α : Fin 2 → Type u) : (∀ i, α i) ≃ α 0 × α 1 where
toFun f := (f 0, f 1)
invFun p := Fin.cons p.1 <| Fin.cons p.2 finZeroElim
left_inv _ := funext <| Fin.forall_fin_two.2 ⟨rfl, rfl⟩
right_inv := fun _ => rfl
#align pi_fin_two_equiv piFinTwoEquiv
#align pi_fin_two_equiv_symm_apply piFinTwoEquiv_symm_apply
#align pi_fin_two_equiv_apply piFinTwoEquiv_apply
theorem Fin.preimage_apply_01_prod {α : Fin 2 → Type u} (s : Set (α 0)) (t : Set (α 1)) :
(fun f : ∀ i, α i => (f 0, f 1)) ⁻¹' s ×ˢ t =
Set.pi Set.univ (Fin.cons s <| Fin.cons t finZeroElim) := by
ext f
simp [Fin.forall_fin_two]
#align fin.preimage_apply_01_prod Fin.preimage_apply_01_prod
theorem Fin.preimage_apply_01_prod' {α : Type u} (s t : Set α) :
(fun f : Fin 2 → α => (f 0, f 1)) ⁻¹' s ×ˢ t = Set.pi Set.univ ![s, t] :=
@Fin.preimage_apply_01_prod (fun _ => α) s t
#align fin.preimage_apply_01_prod' Fin.preimage_apply_01_prod'
/-- A product space `α × β` is equivalent to the space `Π i : Fin 2, γ i`, where
`γ = Fin.cons α (Fin.cons β finZeroElim)`. See also `piFinTwoEquiv` and
`finTwoArrowEquiv`. -/
@[simps! (config := .asFn)]
def prodEquivPiFinTwo (α β : Type u) : α × β ≃ ∀ i : Fin 2, ![α, β] i :=
(piFinTwoEquiv (Fin.cons α (Fin.cons β finZeroElim))).symm
#align prod_equiv_pi_fin_two prodEquivPiFinTwo
#align prod_equiv_pi_fin_two_apply prodEquivPiFinTwo_apply
#align prod_equiv_pi_fin_two_symm_apply prodEquivPiFinTwo_symm_apply
/-- The space of functions `Fin 2 → α` is equivalent to `α × α`. See also `piFinTwoEquiv` and
`prodEquivPiFinTwo`. -/
@[simps (config := .asFn)]
def finTwoArrowEquiv (α : Type*) : (Fin 2 → α) ≃ α × α :=
{ piFinTwoEquiv fun _ => α with invFun := fun x => ![x.1, x.2] }
#align fin_two_arrow_equiv finTwoArrowEquiv
#align fin_two_arrow_equiv_symm_apply finTwoArrowEquiv_symm_apply
#align fin_two_arrow_equiv_apply finTwoArrowEquiv_apply
/-- `Π i : Fin 2, α i` is order equivalent to `α 0 × α 1`. See also `OrderIso.finTwoArrowEquiv`
for a non-dependent version. -/
def OrderIso.piFinTwoIso (α : Fin 2 → Type u) [∀ i, Preorder (α i)] : (∀ i, α i) ≃o α 0 × α 1 where
toEquiv := piFinTwoEquiv α
map_rel_iff' := Iff.symm Fin.forall_fin_two
#align order_iso.pi_fin_two_iso OrderIso.piFinTwoIso
/-- The space of functions `Fin 2 → α` is order equivalent to `α × α`. See also
`OrderIso.piFinTwoIso`. -/
def OrderIso.finTwoArrowIso (α : Type*) [Preorder α] : (Fin 2 → α) ≃o α × α :=
{ OrderIso.piFinTwoIso fun _ => α with toEquiv := finTwoArrowEquiv α }
#align order_iso.fin_two_arrow_iso OrderIso.finTwoArrowIso
/-- An equivalence that removes `i` and maps it to `none`.
This is a version of `Fin.predAbove` that produces `Option (Fin n)` instead of
mapping both `i.cast_succ` and `i.succ` to `i`. -/
def finSuccEquiv' (i : Fin (n + 1)) : Fin (n + 1) ≃ Option (Fin n) where
toFun := i.insertNth none some
invFun x := x.casesOn' i (Fin.succAbove i)
left_inv x := Fin.succAboveCases i (by simp) (fun j => by simp) x
right_inv x := by cases x <;> dsimp <;> simp
#align fin_succ_equiv' finSuccEquiv'
@[simp]
| Mathlib/Logic/Equiv/Fin.lean | 111 | 112 | theorem finSuccEquiv'_at (i : Fin (n + 1)) : (finSuccEquiv' i) i = none := by |
simp [finSuccEquiv']
|
/-
Copyright (c) 2023 Richard M. Hill. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Richard M. Hill
-/
import Mathlib.RingTheory.PowerSeries.Trunc
import Mathlib.RingTheory.PowerSeries.Inverse
import Mathlib.RingTheory.Derivation.Basic
/-!
# Definitions
In this file we define an operation `derivative` (formal differentiation)
on the ring of formal power series in one variable (over an arbitrary commutative semiring).
Under suitable assumptions, we prove that two power series are equal if their derivatives
are equal and their constant terms are equal. This will give us a simple tool for proving
power series identities. For example, one can easily prove the power series identity
$\exp ( \log (1+X)) = 1+X$ by differentiating twice.
## Main Definition
- `PowerSeries.derivative R : Derivation R R⟦X⟧ R⟦X⟧` the formal derivative operation.
This is abbreviated `d⁄dX R`.
-/
namespace PowerSeries
open Polynomial Derivation Nat
section CommutativeSemiring
variable {R} [CommSemiring R]
/--
The formal derivative of a power series in one variable.
This is defined here as a function, but will be packaged as a
derivation `derivative` on `R⟦X⟧`.
-/
noncomputable def derivativeFun (f : R⟦X⟧) : R⟦X⟧ := mk fun n ↦ coeff R (n + 1) f * (n + 1)
theorem coeff_derivativeFun (f : R⟦X⟧) (n : ℕ) :
coeff R n f.derivativeFun = coeff R (n + 1) f * (n + 1) := by
rw [derivativeFun, coeff_mk]
theorem derivativeFun_coe (f : R[X]) : (f : R⟦X⟧).derivativeFun = derivative f := by
ext
rw [coeff_derivativeFun, coeff_coe, coeff_coe, coeff_derivative]
theorem derivativeFun_add (f g : R⟦X⟧) :
derivativeFun (f + g) = derivativeFun f + derivativeFun g := by
ext
rw [coeff_derivativeFun, map_add, map_add, coeff_derivativeFun,
coeff_derivativeFun, add_mul]
theorem derivativeFun_C (r : R) : derivativeFun (C R r) = 0 := by
ext n
-- Note that `map_zero` didn't get picked up, apparently due to a missing `FunLike.coe`
rw [coeff_derivativeFun, coeff_succ_C, zero_mul, (coeff R n).map_zero]
theorem trunc_derivativeFun (f : R⟦X⟧) (n : ℕ) :
trunc n f.derivativeFun = derivative (trunc (n + 1) f) := by
ext d
rw [coeff_trunc]
split_ifs with h
· have : d + 1 < n + 1 := succ_lt_succ_iff.2 h
rw [coeff_derivativeFun, coeff_derivative, coeff_trunc, if_pos this]
· have : ¬d + 1 < n + 1 := by rwa [succ_lt_succ_iff]
rw [coeff_derivative, coeff_trunc, if_neg this, zero_mul]
--A special case of `derivativeFun_mul`, used in its proof.
private theorem derivativeFun_coe_mul_coe (f g : R[X]) : derivativeFun (f * g : R⟦X⟧) =
f * derivative g + g * derivative f := by
rw [← coe_mul, derivativeFun_coe, derivative_mul,
add_comm, mul_comm _ g, ← coe_mul, ← coe_mul, Polynomial.coe_add]
/-- **Leibniz rule for formal power series**. -/
theorem derivativeFun_mul (f g : R⟦X⟧) :
derivativeFun (f * g) = f • g.derivativeFun + g • f.derivativeFun := by
ext n
have h₁ : n < n + 1 := lt_succ_self n
have h₂ : n < n + 1 + 1 := Nat.lt_add_right _ h₁
rw [coeff_derivativeFun, map_add, coeff_mul_eq_coeff_trunc_mul_trunc _ _ (lt_succ_self _),
smul_eq_mul, smul_eq_mul, coeff_mul_eq_coeff_trunc_mul_trunc₂ g f.derivativeFun h₂ h₁,
coeff_mul_eq_coeff_trunc_mul_trunc₂ f g.derivativeFun h₂ h₁, trunc_derivativeFun,
trunc_derivativeFun, ← map_add, ← derivativeFun_coe_mul_coe, coeff_derivativeFun]
theorem derivativeFun_one : derivativeFun (1 : R⟦X⟧) = 0 := by
rw [← map_one (C R), derivativeFun_C (1 : R)]
theorem derivativeFun_smul (r : R) (f : R⟦X⟧) : derivativeFun (r • f) = r • derivativeFun f := by
rw [smul_eq_C_mul, smul_eq_C_mul, derivativeFun_mul, derivativeFun_C, smul_zero, add_zero,
smul_eq_mul]
variable (R)
/-- The formal derivative of a formal power series -/
noncomputable def derivative : Derivation R R⟦X⟧ R⟦X⟧ where
toFun := derivativeFun
map_add' := derivativeFun_add
map_smul' := derivativeFun_smul
map_one_eq_zero' := derivativeFun_one
leibniz' := derivativeFun_mul
/-- Abbreviation of `PowerSeries.derivative`, the formal derivative on `R⟦X⟧` -/
scoped notation "d⁄dX" => derivative
variable {R}
@[simp] theorem derivative_C (r : R) : d⁄dX R (C R r) = 0 := derivativeFun_C r
theorem coeff_derivative (f : R⟦X⟧) (n : ℕ) :
coeff R n (d⁄dX R f) = coeff R (n + 1) f * (n + 1) := coeff_derivativeFun f n
theorem derivative_coe (f : R[X]) : d⁄dX R f = Polynomial.derivative f := derivativeFun_coe f
@[simp] theorem derivative_X : d⁄dX R (X : R⟦X⟧) = 1 := by
ext
rw [coeff_derivative, coeff_one, coeff_X, boole_mul]
simp_rw [add_left_eq_self]
split_ifs with h
· rw [h, cast_zero, zero_add]
· rfl
theorem trunc_derivative (f : R⟦X⟧) (n : ℕ) :
trunc n (d⁄dX R f) = Polynomial.derivative (trunc (n + 1) f) :=
trunc_derivativeFun ..
theorem trunc_derivative' (f : R⟦X⟧) (n : ℕ) :
trunc (n-1) (d⁄dX R f) = Polynomial.derivative (trunc n f) := by
cases n with
| zero =>
simp
| succ n =>
rw [succ_sub_one, trunc_derivative]
end CommutativeSemiring
/- In the next lemma, we use `smul_right_inj`, which requires not only `NoZeroSMulDivisors ℕ R`, but
also cancellation of addition in `R`. For this reason, the next lemma is stated in the case that `R`
is a `CommRing`. -/
/-- If `f` and `g` have the same constant term and derivative, then they are equal. -/
| Mathlib/RingTheory/PowerSeries/Derivative.lean | 142 | 151 | theorem derivative.ext {R} [CommRing R] [NoZeroSMulDivisors ℕ R] {f g} (hD : d⁄dX R f = d⁄dX R g)
(hc : constantCoeff R f = constantCoeff R g) : f = g := by |
ext n
cases n with
| zero =>
rw [coeff_zero_eq_constantCoeff, hc]
| succ n =>
have equ : coeff R n (d⁄dX R f) = coeff R n (d⁄dX R g) := by rw [hD]
rwa [coeff_derivative, coeff_derivative, ← cast_succ, mul_comm, ← nsmul_eq_mul,
mul_comm, ← nsmul_eq_mul, smul_right_inj n.succ_ne_zero] at equ
|
/-
Copyright (c) 2021 Bryan Gin-ge Chen. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Adam Topaz, Bryan Gin-ge Chen, Yaël Dillies
-/
import Mathlib.Order.BooleanAlgebra
import Mathlib.Logic.Equiv.Basic
#align_import order.symm_diff from "leanprover-community/mathlib"@"6eb334bd8f3433d5b08ba156b8ec3e6af47e1904"
/-!
# Symmetric difference and bi-implication
This file defines the symmetric difference and bi-implication operators in (co-)Heyting algebras.
## Examples
Some examples are
* The symmetric difference of two sets is the set of elements that are in either but not both.
* The symmetric difference on propositions is `Xor'`.
* The symmetric difference on `Bool` is `Bool.xor`.
* The equivalence of propositions. Two propositions are equivalent if they imply each other.
* The symmetric difference translates to addition when considering a Boolean algebra as a Boolean
ring.
## Main declarations
* `symmDiff`: The symmetric difference operator, defined as `(a \ b) ⊔ (b \ a)`
* `bihimp`: The bi-implication operator, defined as `(b ⇨ a) ⊓ (a ⇨ b)`
In generalized Boolean algebras, the symmetric difference operator is:
* `symmDiff_comm`: commutative, and
* `symmDiff_assoc`: associative.
## Notations
* `a ∆ b`: `symmDiff a b`
* `a ⇔ b`: `bihimp a b`
## References
The proof of associativity follows the note "Associativity of the Symmetric Difference of Sets: A
Proof from the Book" by John McCuan:
* <https://people.math.gatech.edu/~mccuan/courses/4317/symmetricdifference.pdf>
## Tags
boolean ring, generalized boolean algebra, boolean algebra, symmetric difference, bi-implication,
Heyting
-/
open Function OrderDual
variable {ι α β : Type*} {π : ι → Type*}
/-- The symmetric difference operator on a type with `⊔` and `\` is `(A \ B) ⊔ (B \ A)`. -/
def symmDiff [Sup α] [SDiff α] (a b : α) : α :=
a \ b ⊔ b \ a
#align symm_diff symmDiff
/-- The Heyting bi-implication is `(b ⇨ a) ⊓ (a ⇨ b)`. This generalizes equivalence of
propositions. -/
def bihimp [Inf α] [HImp α] (a b : α) : α :=
(b ⇨ a) ⊓ (a ⇨ b)
#align bihimp bihimp
/-- Notation for symmDiff -/
scoped[symmDiff] infixl:100 " ∆ " => symmDiff
/-- Notation for bihimp -/
scoped[symmDiff] infixl:100 " ⇔ " => bihimp
open scoped symmDiff
theorem symmDiff_def [Sup α] [SDiff α] (a b : α) : a ∆ b = a \ b ⊔ b \ a :=
rfl
#align symm_diff_def symmDiff_def
theorem bihimp_def [Inf α] [HImp α] (a b : α) : a ⇔ b = (b ⇨ a) ⊓ (a ⇨ b) :=
rfl
#align bihimp_def bihimp_def
theorem symmDiff_eq_Xor' (p q : Prop) : p ∆ q = Xor' p q :=
rfl
#align symm_diff_eq_xor symmDiff_eq_Xor'
@[simp]
theorem bihimp_iff_iff {p q : Prop} : p ⇔ q ↔ (p ↔ q) :=
(iff_iff_implies_and_implies _ _).symm.trans Iff.comm
#align bihimp_iff_iff bihimp_iff_iff
@[simp]
theorem Bool.symmDiff_eq_xor : ∀ p q : Bool, p ∆ q = xor p q := by decide
#align bool.symm_diff_eq_bxor Bool.symmDiff_eq_xor
section GeneralizedCoheytingAlgebra
variable [GeneralizedCoheytingAlgebra α] (a b c d : α)
@[simp]
theorem toDual_symmDiff : toDual (a ∆ b) = toDual a ⇔ toDual b :=
rfl
#align to_dual_symm_diff toDual_symmDiff
@[simp]
theorem ofDual_bihimp (a b : αᵒᵈ) : ofDual (a ⇔ b) = ofDual a ∆ ofDual b :=
rfl
#align of_dual_bihimp ofDual_bihimp
theorem symmDiff_comm : a ∆ b = b ∆ a := by simp only [symmDiff, sup_comm]
#align symm_diff_comm symmDiff_comm
instance symmDiff_isCommutative : Std.Commutative (α := α) (· ∆ ·) :=
⟨symmDiff_comm⟩
#align symm_diff_is_comm symmDiff_isCommutative
@[simp]
theorem symmDiff_self : a ∆ a = ⊥ := by rw [symmDiff, sup_idem, sdiff_self]
#align symm_diff_self symmDiff_self
@[simp]
theorem symmDiff_bot : a ∆ ⊥ = a := by rw [symmDiff, sdiff_bot, bot_sdiff, sup_bot_eq]
#align symm_diff_bot symmDiff_bot
@[simp]
theorem bot_symmDiff : ⊥ ∆ a = a := by rw [symmDiff_comm, symmDiff_bot]
#align bot_symm_diff bot_symmDiff
@[simp]
theorem symmDiff_eq_bot {a b : α} : a ∆ b = ⊥ ↔ a = b := by
simp_rw [symmDiff, sup_eq_bot_iff, sdiff_eq_bot_iff, le_antisymm_iff]
#align symm_diff_eq_bot symmDiff_eq_bot
theorem symmDiff_of_le {a b : α} (h : a ≤ b) : a ∆ b = b \ a := by
rw [symmDiff, sdiff_eq_bot_iff.2 h, bot_sup_eq]
#align symm_diff_of_le symmDiff_of_le
theorem symmDiff_of_ge {a b : α} (h : b ≤ a) : a ∆ b = a \ b := by
rw [symmDiff, sdiff_eq_bot_iff.2 h, sup_bot_eq]
#align symm_diff_of_ge symmDiff_of_ge
theorem symmDiff_le {a b c : α} (ha : a ≤ b ⊔ c) (hb : b ≤ a ⊔ c) : a ∆ b ≤ c :=
sup_le (sdiff_le_iff.2 ha) <| sdiff_le_iff.2 hb
#align symm_diff_le symmDiff_le
theorem symmDiff_le_iff {a b c : α} : a ∆ b ≤ c ↔ a ≤ b ⊔ c ∧ b ≤ a ⊔ c := by
simp_rw [symmDiff, sup_le_iff, sdiff_le_iff]
#align symm_diff_le_iff symmDiff_le_iff
@[simp]
theorem symmDiff_le_sup {a b : α} : a ∆ b ≤ a ⊔ b :=
sup_le_sup sdiff_le sdiff_le
#align symm_diff_le_sup symmDiff_le_sup
theorem symmDiff_eq_sup_sdiff_inf : a ∆ b = (a ⊔ b) \ (a ⊓ b) := by simp [sup_sdiff, symmDiff]
#align symm_diff_eq_sup_sdiff_inf symmDiff_eq_sup_sdiff_inf
theorem Disjoint.symmDiff_eq_sup {a b : α} (h : Disjoint a b) : a ∆ b = a ⊔ b := by
rw [symmDiff, h.sdiff_eq_left, h.sdiff_eq_right]
#align disjoint.symm_diff_eq_sup Disjoint.symmDiff_eq_sup
theorem symmDiff_sdiff : a ∆ b \ c = a \ (b ⊔ c) ⊔ b \ (a ⊔ c) := by
rw [symmDiff, sup_sdiff_distrib, sdiff_sdiff_left, sdiff_sdiff_left]
#align symm_diff_sdiff symmDiff_sdiff
@[simp]
theorem symmDiff_sdiff_inf : a ∆ b \ (a ⊓ b) = a ∆ b := by
rw [symmDiff_sdiff]
simp [symmDiff]
#align symm_diff_sdiff_inf symmDiff_sdiff_inf
@[simp]
theorem symmDiff_sdiff_eq_sup : a ∆ (b \ a) = a ⊔ b := by
rw [symmDiff, sdiff_idem]
exact
le_antisymm (sup_le_sup sdiff_le sdiff_le)
(sup_le le_sdiff_sup <| le_sdiff_sup.trans <| sup_le le_sup_right le_sdiff_sup)
#align symm_diff_sdiff_eq_sup symmDiff_sdiff_eq_sup
@[simp]
theorem sdiff_symmDiff_eq_sup : (a \ b) ∆ b = a ⊔ b := by
rw [symmDiff_comm, symmDiff_sdiff_eq_sup, sup_comm]
#align sdiff_symm_diff_eq_sup sdiff_symmDiff_eq_sup
@[simp]
theorem symmDiff_sup_inf : a ∆ b ⊔ a ⊓ b = a ⊔ b := by
refine le_antisymm (sup_le symmDiff_le_sup inf_le_sup) ?_
rw [sup_inf_left, symmDiff]
refine sup_le (le_inf le_sup_right ?_) (le_inf ?_ le_sup_right)
· rw [sup_right_comm]
exact le_sup_of_le_left le_sdiff_sup
· rw [sup_assoc]
exact le_sup_of_le_right le_sdiff_sup
#align symm_diff_sup_inf symmDiff_sup_inf
@[simp]
theorem inf_sup_symmDiff : a ⊓ b ⊔ a ∆ b = a ⊔ b := by rw [sup_comm, symmDiff_sup_inf]
#align inf_sup_symm_diff inf_sup_symmDiff
@[simp]
theorem symmDiff_symmDiff_inf : a ∆ b ∆ (a ⊓ b) = a ⊔ b := by
rw [← symmDiff_sdiff_inf a, sdiff_symmDiff_eq_sup, symmDiff_sup_inf]
#align symm_diff_symm_diff_inf symmDiff_symmDiff_inf
@[simp]
theorem inf_symmDiff_symmDiff : (a ⊓ b) ∆ (a ∆ b) = a ⊔ b := by
rw [symmDiff_comm, symmDiff_symmDiff_inf]
#align inf_symm_diff_symm_diff inf_symmDiff_symmDiff
theorem symmDiff_triangle : a ∆ c ≤ a ∆ b ⊔ b ∆ c := by
refine (sup_le_sup (sdiff_triangle a b c) <| sdiff_triangle _ b _).trans_eq ?_
rw [sup_comm (c \ b), sup_sup_sup_comm, symmDiff, symmDiff]
#align symm_diff_triangle symmDiff_triangle
theorem le_symmDiff_sup_right (a b : α) : a ≤ (a ∆ b) ⊔ b := by
convert symmDiff_triangle a b ⊥ <;> rw [symmDiff_bot]
theorem le_symmDiff_sup_left (a b : α) : b ≤ (a ∆ b) ⊔ a :=
symmDiff_comm a b ▸ le_symmDiff_sup_right ..
end GeneralizedCoheytingAlgebra
section GeneralizedHeytingAlgebra
variable [GeneralizedHeytingAlgebra α] (a b c d : α)
@[simp]
theorem toDual_bihimp : toDual (a ⇔ b) = toDual a ∆ toDual b :=
rfl
#align to_dual_bihimp toDual_bihimp
@[simp]
theorem ofDual_symmDiff (a b : αᵒᵈ) : ofDual (a ∆ b) = ofDual a ⇔ ofDual b :=
rfl
#align of_dual_symm_diff ofDual_symmDiff
theorem bihimp_comm : a ⇔ b = b ⇔ a := by simp only [(· ⇔ ·), inf_comm]
#align bihimp_comm bihimp_comm
instance bihimp_isCommutative : Std.Commutative (α := α) (· ⇔ ·) :=
⟨bihimp_comm⟩
#align bihimp_is_comm bihimp_isCommutative
@[simp]
theorem bihimp_self : a ⇔ a = ⊤ := by rw [bihimp, inf_idem, himp_self]
#align bihimp_self bihimp_self
@[simp]
theorem bihimp_top : a ⇔ ⊤ = a := by rw [bihimp, himp_top, top_himp, inf_top_eq]
#align bihimp_top bihimp_top
@[simp]
theorem top_bihimp : ⊤ ⇔ a = a := by rw [bihimp_comm, bihimp_top]
#align top_bihimp top_bihimp
@[simp]
theorem bihimp_eq_top {a b : α} : a ⇔ b = ⊤ ↔ a = b :=
@symmDiff_eq_bot αᵒᵈ _ _ _
#align bihimp_eq_top bihimp_eq_top
theorem bihimp_of_le {a b : α} (h : a ≤ b) : a ⇔ b = b ⇨ a := by
rw [bihimp, himp_eq_top_iff.2 h, inf_top_eq]
#align bihimp_of_le bihimp_of_le
theorem bihimp_of_ge {a b : α} (h : b ≤ a) : a ⇔ b = a ⇨ b := by
rw [bihimp, himp_eq_top_iff.2 h, top_inf_eq]
#align bihimp_of_ge bihimp_of_ge
theorem le_bihimp {a b c : α} (hb : a ⊓ b ≤ c) (hc : a ⊓ c ≤ b) : a ≤ b ⇔ c :=
le_inf (le_himp_iff.2 hc) <| le_himp_iff.2 hb
#align le_bihimp le_bihimp
theorem le_bihimp_iff {a b c : α} : a ≤ b ⇔ c ↔ a ⊓ b ≤ c ∧ a ⊓ c ≤ b := by
simp_rw [bihimp, le_inf_iff, le_himp_iff, and_comm]
#align le_bihimp_iff le_bihimp_iff
@[simp]
theorem inf_le_bihimp {a b : α} : a ⊓ b ≤ a ⇔ b :=
inf_le_inf le_himp le_himp
#align inf_le_bihimp inf_le_bihimp
theorem bihimp_eq_inf_himp_inf : a ⇔ b = a ⊔ b ⇨ a ⊓ b := by simp [himp_inf_distrib, bihimp]
#align bihimp_eq_inf_himp_inf bihimp_eq_inf_himp_inf
theorem Codisjoint.bihimp_eq_inf {a b : α} (h : Codisjoint a b) : a ⇔ b = a ⊓ b := by
rw [bihimp, h.himp_eq_left, h.himp_eq_right]
#align codisjoint.bihimp_eq_inf Codisjoint.bihimp_eq_inf
theorem himp_bihimp : a ⇨ b ⇔ c = (a ⊓ c ⇨ b) ⊓ (a ⊓ b ⇨ c) := by
rw [bihimp, himp_inf_distrib, himp_himp, himp_himp]
#align himp_bihimp himp_bihimp
@[simp]
theorem sup_himp_bihimp : a ⊔ b ⇨ a ⇔ b = a ⇔ b := by
rw [himp_bihimp]
simp [bihimp]
#align sup_himp_bihimp sup_himp_bihimp
@[simp]
theorem bihimp_himp_eq_inf : a ⇔ (a ⇨ b) = a ⊓ b :=
@symmDiff_sdiff_eq_sup αᵒᵈ _ _ _
#align bihimp_himp_eq_inf bihimp_himp_eq_inf
@[simp]
theorem himp_bihimp_eq_inf : (b ⇨ a) ⇔ b = a ⊓ b :=
@sdiff_symmDiff_eq_sup αᵒᵈ _ _ _
#align himp_bihimp_eq_inf himp_bihimp_eq_inf
@[simp]
theorem bihimp_inf_sup : a ⇔ b ⊓ (a ⊔ b) = a ⊓ b :=
@symmDiff_sup_inf αᵒᵈ _ _ _
#align bihimp_inf_sup bihimp_inf_sup
@[simp]
theorem sup_inf_bihimp : (a ⊔ b) ⊓ a ⇔ b = a ⊓ b :=
@inf_sup_symmDiff αᵒᵈ _ _ _
#align sup_inf_bihimp sup_inf_bihimp
@[simp]
theorem bihimp_bihimp_sup : a ⇔ b ⇔ (a ⊔ b) = a ⊓ b :=
@symmDiff_symmDiff_inf αᵒᵈ _ _ _
#align bihimp_bihimp_sup bihimp_bihimp_sup
@[simp]
theorem sup_bihimp_bihimp : (a ⊔ b) ⇔ (a ⇔ b) = a ⊓ b :=
@inf_symmDiff_symmDiff αᵒᵈ _ _ _
#align sup_bihimp_bihimp sup_bihimp_bihimp
theorem bihimp_triangle : a ⇔ b ⊓ b ⇔ c ≤ a ⇔ c :=
@symmDiff_triangle αᵒᵈ _ _ _ _
#align bihimp_triangle bihimp_triangle
end GeneralizedHeytingAlgebra
section CoheytingAlgebra
variable [CoheytingAlgebra α] (a : α)
@[simp]
theorem symmDiff_top' : a ∆ ⊤ = ￢a := by simp [symmDiff]
#align symm_diff_top' symmDiff_top'
@[simp]
theorem top_symmDiff' : ⊤ ∆ a = ￢a := by simp [symmDiff]
#align top_symm_diff' top_symmDiff'
@[simp]
theorem hnot_symmDiff_self : (￢a) ∆ a = ⊤ := by
rw [eq_top_iff, symmDiff, hnot_sdiff, sup_sdiff_self]
exact Codisjoint.top_le codisjoint_hnot_left
#align hnot_symm_diff_self hnot_symmDiff_self
@[simp]
theorem symmDiff_hnot_self : a ∆ (￢a) = ⊤ := by rw [symmDiff_comm, hnot_symmDiff_self]
#align symm_diff_hnot_self symmDiff_hnot_self
theorem IsCompl.symmDiff_eq_top {a b : α} (h : IsCompl a b) : a ∆ b = ⊤ := by
rw [h.eq_hnot, hnot_symmDiff_self]
#align is_compl.symm_diff_eq_top IsCompl.symmDiff_eq_top
end CoheytingAlgebra
section HeytingAlgebra
variable [HeytingAlgebra α] (a : α)
@[simp]
theorem bihimp_bot : a ⇔ ⊥ = aᶜ := by simp [bihimp]
#align bihimp_bot bihimp_bot
@[simp]
theorem bot_bihimp : ⊥ ⇔ a = aᶜ := by simp [bihimp]
#align bot_bihimp bot_bihimp
@[simp]
theorem compl_bihimp_self : aᶜ ⇔ a = ⊥ :=
@hnot_symmDiff_self αᵒᵈ _ _
#align compl_bihimp_self compl_bihimp_self
@[simp]
theorem bihimp_hnot_self : a ⇔ aᶜ = ⊥ :=
@symmDiff_hnot_self αᵒᵈ _ _
#align bihimp_hnot_self bihimp_hnot_self
theorem IsCompl.bihimp_eq_bot {a b : α} (h : IsCompl a b) : a ⇔ b = ⊥ := by
rw [h.eq_compl, compl_bihimp_self]
#align is_compl.bihimp_eq_bot IsCompl.bihimp_eq_bot
end HeytingAlgebra
section GeneralizedBooleanAlgebra
variable [GeneralizedBooleanAlgebra α] (a b c d : α)
@[simp]
theorem sup_sdiff_symmDiff : (a ⊔ b) \ a ∆ b = a ⊓ b :=
sdiff_eq_symm inf_le_sup (by rw [symmDiff_eq_sup_sdiff_inf])
#align sup_sdiff_symm_diff sup_sdiff_symmDiff
theorem disjoint_symmDiff_inf : Disjoint (a ∆ b) (a ⊓ b) := by
rw [symmDiff_eq_sup_sdiff_inf]
exact disjoint_sdiff_self_left
#align disjoint_symm_diff_inf disjoint_symmDiff_inf
theorem inf_symmDiff_distrib_left : a ⊓ b ∆ c = (a ⊓ b) ∆ (a ⊓ c) := by
rw [symmDiff_eq_sup_sdiff_inf, inf_sdiff_distrib_left, inf_sup_left, inf_inf_distrib_left,
symmDiff_eq_sup_sdiff_inf]
#align inf_symm_diff_distrib_left inf_symmDiff_distrib_left
theorem inf_symmDiff_distrib_right : a ∆ b ⊓ c = (a ⊓ c) ∆ (b ⊓ c) := by
simp_rw [inf_comm _ c, inf_symmDiff_distrib_left]
#align inf_symm_diff_distrib_right inf_symmDiff_distrib_right
theorem sdiff_symmDiff : c \ a ∆ b = c ⊓ a ⊓ b ⊔ c \ a ⊓ c \ b := by
simp only [(· ∆ ·), sdiff_sdiff_sup_sdiff']
#align sdiff_symm_diff sdiff_symmDiff
theorem sdiff_symmDiff' : c \ a ∆ b = c ⊓ a ⊓ b ⊔ c \ (a ⊔ b) := by
rw [sdiff_symmDiff, sdiff_sup]
#align sdiff_symm_diff' sdiff_symmDiff'
@[simp]
theorem symmDiff_sdiff_left : a ∆ b \ a = b \ a := by
rw [symmDiff_def, sup_sdiff, sdiff_idem, sdiff_sdiff_self, bot_sup_eq]
#align symm_diff_sdiff_left symmDiff_sdiff_left
@[simp]
theorem symmDiff_sdiff_right : a ∆ b \ b = a \ b := by rw [symmDiff_comm, symmDiff_sdiff_left]
#align symm_diff_sdiff_right symmDiff_sdiff_right
@[simp]
theorem sdiff_symmDiff_left : a \ a ∆ b = a ⊓ b := by simp [sdiff_symmDiff]
#align sdiff_symm_diff_left sdiff_symmDiff_left
@[simp]
theorem sdiff_symmDiff_right : b \ a ∆ b = a ⊓ b := by
rw [symmDiff_comm, inf_comm, sdiff_symmDiff_left]
#align sdiff_symm_diff_right sdiff_symmDiff_right
theorem symmDiff_eq_sup : a ∆ b = a ⊔ b ↔ Disjoint a b := by
refine ⟨fun h => ?_, Disjoint.symmDiff_eq_sup⟩
rw [symmDiff_eq_sup_sdiff_inf, sdiff_eq_self_iff_disjoint] at h
exact h.of_disjoint_inf_of_le le_sup_left
#align symm_diff_eq_sup symmDiff_eq_sup
@[simp]
theorem le_symmDiff_iff_left : a ≤ a ∆ b ↔ Disjoint a b := by
refine ⟨fun h => ?_, fun h => h.symmDiff_eq_sup.symm ▸ le_sup_left⟩
rw [symmDiff_eq_sup_sdiff_inf] at h
exact disjoint_iff_inf_le.mpr (le_sdiff_iff.1 <| inf_le_of_left_le h).le
#align le_symm_diff_iff_left le_symmDiff_iff_left
@[simp]
theorem le_symmDiff_iff_right : b ≤ a ∆ b ↔ Disjoint a b := by
rw [symmDiff_comm, le_symmDiff_iff_left, disjoint_comm]
#align le_symm_diff_iff_right le_symmDiff_iff_right
theorem symmDiff_symmDiff_left :
a ∆ b ∆ c = a \ (b ⊔ c) ⊔ b \ (a ⊔ c) ⊔ c \ (a ⊔ b) ⊔ a ⊓ b ⊓ c :=
calc
a ∆ b ∆ c = a ∆ b \ c ⊔ c \ a ∆ b := symmDiff_def _ _
_ = a \ (b ⊔ c) ⊔ b \ (a ⊔ c) ⊔ (c \ (a ⊔ b) ⊔ c ⊓ a ⊓ b) := by
{ rw [sdiff_symmDiff', sup_comm (c ⊓ a ⊓ b), symmDiff_sdiff] }
_ = a \ (b ⊔ c) ⊔ b \ (a ⊔ c) ⊔ c \ (a ⊔ b) ⊔ a ⊓ b ⊓ c := by ac_rfl
#align symm_diff_symm_diff_left symmDiff_symmDiff_left
theorem symmDiff_symmDiff_right :
a ∆ (b ∆ c) = a \ (b ⊔ c) ⊔ b \ (a ⊔ c) ⊔ c \ (a ⊔ b) ⊔ a ⊓ b ⊓ c :=
calc
a ∆ (b ∆ c) = a \ b ∆ c ⊔ b ∆ c \ a := symmDiff_def _ _
_ = a \ (b ⊔ c) ⊔ a ⊓ b ⊓ c ⊔ (b \ (c ⊔ a) ⊔ c \ (b ⊔ a)) := by
{ rw [sdiff_symmDiff', sup_comm (a ⊓ b ⊓ c), symmDiff_sdiff] }
_ = a \ (b ⊔ c) ⊔ b \ (a ⊔ c) ⊔ c \ (a ⊔ b) ⊔ a ⊓ b ⊓ c := by ac_rfl
#align symm_diff_symm_diff_right symmDiff_symmDiff_right
theorem symmDiff_assoc : a ∆ b ∆ c = a ∆ (b ∆ c) := by
rw [symmDiff_symmDiff_left, symmDiff_symmDiff_right]
#align symm_diff_assoc symmDiff_assoc
instance symmDiff_isAssociative : Std.Associative (α := α) (· ∆ ·) :=
⟨symmDiff_assoc⟩
#align symm_diff_is_assoc symmDiff_isAssociative
theorem symmDiff_left_comm : a ∆ (b ∆ c) = b ∆ (a ∆ c) := by
simp_rw [← symmDiff_assoc, symmDiff_comm]
#align symm_diff_left_comm symmDiff_left_comm
theorem symmDiff_right_comm : a ∆ b ∆ c = a ∆ c ∆ b := by simp_rw [symmDiff_assoc, symmDiff_comm]
#align symm_diff_right_comm symmDiff_right_comm
theorem symmDiff_symmDiff_symmDiff_comm : a ∆ b ∆ (c ∆ d) = a ∆ c ∆ (b ∆ d) := by
simp_rw [symmDiff_assoc, symmDiff_left_comm]
#align symm_diff_symm_diff_symm_diff_comm symmDiff_symmDiff_symmDiff_comm
@[simp]
theorem symmDiff_symmDiff_cancel_left : a ∆ (a ∆ b) = b := by simp [← symmDiff_assoc]
#align symm_diff_symm_diff_cancel_left symmDiff_symmDiff_cancel_left
@[simp]
theorem symmDiff_symmDiff_cancel_right : b ∆ a ∆ a = b := by simp [symmDiff_assoc]
#align symm_diff_symm_diff_cancel_right symmDiff_symmDiff_cancel_right
@[simp]
theorem symmDiff_symmDiff_self' : a ∆ b ∆ a = b := by
rw [symmDiff_comm, symmDiff_symmDiff_cancel_left]
#align symm_diff_symm_diff_self' symmDiff_symmDiff_self'
theorem symmDiff_left_involutive (a : α) : Involutive (· ∆ a) :=
symmDiff_symmDiff_cancel_right _
#align symm_diff_left_involutive symmDiff_left_involutive
theorem symmDiff_right_involutive (a : α) : Involutive (a ∆ ·) :=
symmDiff_symmDiff_cancel_left _
#align symm_diff_right_involutive symmDiff_right_involutive
theorem symmDiff_left_injective (a : α) : Injective (· ∆ a) :=
Function.Involutive.injective (symmDiff_left_involutive a)
#align symm_diff_left_injective symmDiff_left_injective
theorem symmDiff_right_injective (a : α) : Injective (a ∆ ·) :=
Function.Involutive.injective (symmDiff_right_involutive _)
#align symm_diff_right_injective symmDiff_right_injective
theorem symmDiff_left_surjective (a : α) : Surjective (· ∆ a) :=
Function.Involutive.surjective (symmDiff_left_involutive _)
#align symm_diff_left_surjective symmDiff_left_surjective
theorem symmDiff_right_surjective (a : α) : Surjective (a ∆ ·) :=
Function.Involutive.surjective (symmDiff_right_involutive _)
#align symm_diff_right_surjective symmDiff_right_surjective
variable {a b c}
@[simp]
theorem symmDiff_left_inj : a ∆ b = c ∆ b ↔ a = c :=
(symmDiff_left_injective _).eq_iff
#align symm_diff_left_inj symmDiff_left_inj
@[simp]
theorem symmDiff_right_inj : a ∆ b = a ∆ c ↔ b = c :=
(symmDiff_right_injective _).eq_iff
#align symm_diff_right_inj symmDiff_right_inj
@[simp]
theorem symmDiff_eq_left : a ∆ b = a ↔ b = ⊥ :=
calc
a ∆ b = a ↔ a ∆ b = a ∆ ⊥ := by rw [symmDiff_bot]
_ ↔ b = ⊥ := by rw [symmDiff_right_inj]
#align symm_diff_eq_left symmDiff_eq_left
@[simp]
theorem symmDiff_eq_right : a ∆ b = b ↔ a = ⊥ := by rw [symmDiff_comm, symmDiff_eq_left]
#align symm_diff_eq_right symmDiff_eq_right
protected theorem Disjoint.symmDiff_left (ha : Disjoint a c) (hb : Disjoint b c) :
Disjoint (a ∆ b) c := by
rw [symmDiff_eq_sup_sdiff_inf]
exact (ha.sup_left hb).disjoint_sdiff_left
#align disjoint.symm_diff_left Disjoint.symmDiff_left
protected theorem Disjoint.symmDiff_right (ha : Disjoint a b) (hb : Disjoint a c) :
Disjoint a (b ∆ c) :=
(ha.symm.symmDiff_left hb.symm).symm
#align disjoint.symm_diff_right Disjoint.symmDiff_right
theorem symmDiff_eq_iff_sdiff_eq (ha : a ≤ c) : a ∆ b = c ↔ c \ a = b := by
rw [← symmDiff_of_le ha]
exact ((symmDiff_right_involutive a).toPerm _).apply_eq_iff_eq_symm_apply.trans eq_comm
#align symm_diff_eq_iff_sdiff_eq symmDiff_eq_iff_sdiff_eq
end GeneralizedBooleanAlgebra
section BooleanAlgebra
variable [BooleanAlgebra α] (a b c d : α)
/-! `CogeneralizedBooleanAlgebra` isn't actually a typeclass, but the lemmas in here are dual to
the `GeneralizedBooleanAlgebra` ones -/
section CogeneralizedBooleanAlgebra
@[simp]
theorem inf_himp_bihimp : a ⇔ b ⇨ a ⊓ b = a ⊔ b :=
@sup_sdiff_symmDiff αᵒᵈ _ _ _
#align inf_himp_bihimp inf_himp_bihimp
theorem codisjoint_bihimp_sup : Codisjoint (a ⇔ b) (a ⊔ b) :=
@disjoint_symmDiff_inf αᵒᵈ _ _ _
#align codisjoint_bihimp_sup codisjoint_bihimp_sup
@[simp]
theorem himp_bihimp_left : a ⇨ a ⇔ b = a ⇨ b :=
@symmDiff_sdiff_left αᵒᵈ _ _ _
#align himp_bihimp_left himp_bihimp_left
@[simp]
theorem himp_bihimp_right : b ⇨ a ⇔ b = b ⇨ a :=
@symmDiff_sdiff_right αᵒᵈ _ _ _
#align himp_bihimp_right himp_bihimp_right
@[simp]
theorem bihimp_himp_left : a ⇔ b ⇨ a = a ⊔ b :=
@sdiff_symmDiff_left αᵒᵈ _ _ _
#align bihimp_himp_left bihimp_himp_left
@[simp]
theorem bihimp_himp_right : a ⇔ b ⇨ b = a ⊔ b :=
@sdiff_symmDiff_right αᵒᵈ _ _ _
#align bihimp_himp_right bihimp_himp_right
@[simp]
theorem bihimp_eq_inf : a ⇔ b = a ⊓ b ↔ Codisjoint a b :=
@symmDiff_eq_sup αᵒᵈ _ _ _
#align bihimp_eq_inf bihimp_eq_inf
@[simp]
theorem bihimp_le_iff_left : a ⇔ b ≤ a ↔ Codisjoint a b :=
@le_symmDiff_iff_left αᵒᵈ _ _ _
#align bihimp_le_iff_left bihimp_le_iff_left
@[simp]
theorem bihimp_le_iff_right : a ⇔ b ≤ b ↔ Codisjoint a b :=
@le_symmDiff_iff_right αᵒᵈ _ _ _
#align bihimp_le_iff_right bihimp_le_iff_right
theorem bihimp_assoc : a ⇔ b ⇔ c = a ⇔ (b ⇔ c) :=
@symmDiff_assoc αᵒᵈ _ _ _ _
#align bihimp_assoc bihimp_assoc
instance bihimp_isAssociative : Std.Associative (α := α) (· ⇔ ·) :=
⟨bihimp_assoc⟩
#align bihimp_is_assoc bihimp_isAssociative
theorem bihimp_left_comm : a ⇔ (b ⇔ c) = b ⇔ (a ⇔ c) := by simp_rw [← bihimp_assoc, bihimp_comm]
#align bihimp_left_comm bihimp_left_comm
theorem bihimp_right_comm : a ⇔ b ⇔ c = a ⇔ c ⇔ b := by simp_rw [bihimp_assoc, bihimp_comm]
#align bihimp_right_comm bihimp_right_comm
| Mathlib/Order/SymmDiff.lean | 642 | 643 | theorem bihimp_bihimp_bihimp_comm : a ⇔ b ⇔ (c ⇔ d) = a ⇔ c ⇔ (b ⇔ d) := by |
simp_rw [bihimp_assoc, bihimp_left_comm]
|
/-
Copyright (c) 2018 Chris Hughes. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Chris Hughes, Abhimanyu Pallavi Sudhir, Jean Lo, Calle Sönne
-/
import Mathlib.Analysis.SpecialFunctions.Exp
import Mathlib.Data.Nat.Factorization.Basic
import Mathlib.Analysis.NormedSpace.Real
#align_import analysis.special_functions.log.basic from "leanprover-community/mathlib"@"f23a09ce6d3f367220dc3cecad6b7eb69eb01690"
/-!
# Real logarithm
In this file we define `Real.log` to be the logarithm of a real number. As usual, we extend it from
its domain `(0, +∞)` to a globally defined function. We choose to do it so that `log 0 = 0` and
`log (-x) = log x`.
We prove some basic properties of this function and show that it is continuous.
## Tags
logarithm, continuity
-/
open Set Filter Function
open Topology
noncomputable section
namespace Real
variable {x y : ℝ}
/-- The real logarithm function, equal to the inverse of the exponential for `x > 0`,
to `log |x|` for `x < 0`, and to `0` for `0`. We use this unconventional extension to
`(-∞, 0]` as it gives the formula `log (x * y) = log x + log y` for all nonzero `x` and `y`, and
the derivative of `log` is `1/x` away from `0`. -/
-- @[pp_nodot] -- Porting note: removed
noncomputable def log (x : ℝ) : ℝ :=
if hx : x = 0 then 0 else expOrderIso.symm ⟨|x|, abs_pos.2 hx⟩
#align real.log Real.log
theorem log_of_ne_zero (hx : x ≠ 0) : log x = expOrderIso.symm ⟨|x|, abs_pos.2 hx⟩ :=
dif_neg hx
#align real.log_of_ne_zero Real.log_of_ne_zero
theorem log_of_pos (hx : 0 < x) : log x = expOrderIso.symm ⟨x, hx⟩ := by
rw [log_of_ne_zero hx.ne']
congr
exact abs_of_pos hx
#align real.log_of_pos Real.log_of_pos
theorem exp_log_eq_abs (hx : x ≠ 0) : exp (log x) = |x| := by
rw [log_of_ne_zero hx, ← coe_expOrderIso_apply, OrderIso.apply_symm_apply, Subtype.coe_mk]
#align real.exp_log_eq_abs Real.exp_log_eq_abs
theorem exp_log (hx : 0 < x) : exp (log x) = x := by
rw [exp_log_eq_abs hx.ne']
exact abs_of_pos hx
#align real.exp_log Real.exp_log
theorem exp_log_of_neg (hx : x < 0) : exp (log x) = -x := by
rw [exp_log_eq_abs (ne_of_lt hx)]
exact abs_of_neg hx
#align real.exp_log_of_neg Real.exp_log_of_neg
theorem le_exp_log (x : ℝ) : x ≤ exp (log x) := by
by_cases h_zero : x = 0
· rw [h_zero, log, dif_pos rfl, exp_zero]
exact zero_le_one
· rw [exp_log_eq_abs h_zero]
exact le_abs_self _
#align real.le_exp_log Real.le_exp_log
@[simp]
theorem log_exp (x : ℝ) : log (exp x) = x :=
exp_injective <| exp_log (exp_pos x)
#align real.log_exp Real.log_exp
theorem surjOn_log : SurjOn log (Ioi 0) univ := fun x _ => ⟨exp x, exp_pos x, log_exp x⟩
#align real.surj_on_log Real.surjOn_log
theorem log_surjective : Surjective log := fun x => ⟨exp x, log_exp x⟩
#align real.log_surjective Real.log_surjective
@[simp]
theorem range_log : range log = univ :=
log_surjective.range_eq
#align real.range_log Real.range_log
@[simp]
theorem log_zero : log 0 = 0 :=
dif_pos rfl
#align real.log_zero Real.log_zero
@[simp]
theorem log_one : log 1 = 0 :=
exp_injective <| by rw [exp_log zero_lt_one, exp_zero]
#align real.log_one Real.log_one
@[simp]
theorem log_abs (x : ℝ) : log |x| = log x := by
by_cases h : x = 0
· simp [h]
· rw [← exp_eq_exp, exp_log_eq_abs h, exp_log_eq_abs (abs_pos.2 h).ne', abs_abs]
#align real.log_abs Real.log_abs
@[simp]
theorem log_neg_eq_log (x : ℝ) : log (-x) = log x := by rw [← log_abs x, ← log_abs (-x), abs_neg]
#align real.log_neg_eq_log Real.log_neg_eq_log
theorem sinh_log {x : ℝ} (hx : 0 < x) : sinh (log x) = (x - x⁻¹) / 2 := by
rw [sinh_eq, exp_neg, exp_log hx]
#align real.sinh_log Real.sinh_log
theorem cosh_log {x : ℝ} (hx : 0 < x) : cosh (log x) = (x + x⁻¹) / 2 := by
rw [cosh_eq, exp_neg, exp_log hx]
#align real.cosh_log Real.cosh_log
theorem surjOn_log' : SurjOn log (Iio 0) univ := fun x _ =>
⟨-exp x, neg_lt_zero.2 <| exp_pos x, by rw [log_neg_eq_log, log_exp]⟩
#align real.surj_on_log' Real.surjOn_log'
theorem log_mul (hx : x ≠ 0) (hy : y ≠ 0) : log (x * y) = log x + log y :=
exp_injective <| by
rw [exp_log_eq_abs (mul_ne_zero hx hy), exp_add, exp_log_eq_abs hx, exp_log_eq_abs hy, abs_mul]
#align real.log_mul Real.log_mul
theorem log_div (hx : x ≠ 0) (hy : y ≠ 0) : log (x / y) = log x - log y :=
exp_injective <| by
rw [exp_log_eq_abs (div_ne_zero hx hy), exp_sub, exp_log_eq_abs hx, exp_log_eq_abs hy, abs_div]
#align real.log_div Real.log_div
@[simp]
theorem log_inv (x : ℝ) : log x⁻¹ = -log x := by
by_cases hx : x = 0; · simp [hx]
rw [← exp_eq_exp, exp_log_eq_abs (inv_ne_zero hx), exp_neg, exp_log_eq_abs hx, abs_inv]
#align real.log_inv Real.log_inv
theorem log_le_log_iff (h : 0 < x) (h₁ : 0 < y) : log x ≤ log y ↔ x ≤ y := by
rw [← exp_le_exp, exp_log h, exp_log h₁]
#align real.log_le_log Real.log_le_log_iff
@[gcongr]
lemma log_le_log (hx : 0 < x) (hxy : x ≤ y) : log x ≤ log y :=
(log_le_log_iff hx (hx.trans_le hxy)).2 hxy
@[gcongr]
theorem log_lt_log (hx : 0 < x) (h : x < y) : log x < log y := by
rwa [← exp_lt_exp, exp_log hx, exp_log (lt_trans hx h)]
#align real.log_lt_log Real.log_lt_log
theorem log_lt_log_iff (hx : 0 < x) (hy : 0 < y) : log x < log y ↔ x < y := by
rw [← exp_lt_exp, exp_log hx, exp_log hy]
#align real.log_lt_log_iff Real.log_lt_log_iff
theorem log_le_iff_le_exp (hx : 0 < x) : log x ≤ y ↔ x ≤ exp y := by rw [← exp_le_exp, exp_log hx]
#align real.log_le_iff_le_exp Real.log_le_iff_le_exp
theorem log_lt_iff_lt_exp (hx : 0 < x) : log x < y ↔ x < exp y := by rw [← exp_lt_exp, exp_log hx]
#align real.log_lt_iff_lt_exp Real.log_lt_iff_lt_exp
theorem le_log_iff_exp_le (hy : 0 < y) : x ≤ log y ↔ exp x ≤ y := by rw [← exp_le_exp, exp_log hy]
#align real.le_log_iff_exp_le Real.le_log_iff_exp_le
| Mathlib/Analysis/SpecialFunctions/Log/Basic.lean | 168 | 168 | theorem lt_log_iff_exp_lt (hy : 0 < y) : x < log y ↔ exp x < y := by | rw [← exp_lt_exp, exp_log hy]
|
/-
Copyright (c) 2020 Zhouhang Zhou. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Zhouhang Zhou, Yury Kudryashov
-/
import Mathlib.MeasureTheory.Integral.IntegrableOn
import Mathlib.MeasureTheory.Integral.Bochner
import Mathlib.MeasureTheory.Function.LocallyIntegrable
import Mathlib.Topology.MetricSpace.ThickenedIndicator
import Mathlib.Topology.ContinuousFunction.Compact
import Mathlib.Analysis.NormedSpace.HahnBanach.SeparatingDual
#align_import measure_theory.integral.setIntegral from "leanprover-community/mathlib"@"24e0c85412ff6adbeca08022c25ba4876eedf37a"
/-!
# Set integral
In this file we prove some properties of `∫ x in s, f x ∂μ`. Recall that this notation
is defined as `∫ x, f x ∂(μ.restrict s)`. In `integral_indicator` we prove that for a measurable
function `f` and a measurable set `s` this definition coincides with another natural definition:
`∫ x, indicator s f x ∂μ = ∫ x in s, f x ∂μ`, where `indicator s f x` is equal to `f x` for `x ∈ s`
and is zero otherwise.
Since `∫ x in s, f x ∂μ` is a notation, one can rewrite or apply any theorem about `∫ x, f x ∂μ`
directly. In this file we prove some theorems about dependence of `∫ x in s, f x ∂μ` on `s`, e.g.
`integral_union`, `integral_empty`, `integral_univ`.
We use the property `IntegrableOn f s μ := Integrable f (μ.restrict s)`, defined in
`MeasureTheory.IntegrableOn`. We also defined in that same file a predicate
`IntegrableAtFilter (f : X → E) (l : Filter X) (μ : Measure X)` saying that `f` is integrable at
some set `s ∈ l`.
Finally, we prove a version of the
[Fundamental theorem of calculus](https://en.wikipedia.org/wiki/Fundamental_theorem_of_calculus)
for set integral, see `Filter.Tendsto.integral_sub_linear_isLittleO_ae` and its corollaries.
Namely, consider a measurably generated filter `l`, a measure `μ` finite at this filter, and
a function `f` that has a finite limit `c` at `l ⊓ ae μ`. Then `∫ x in s, f x ∂μ = μ s • c + o(μ s)`
as `s` tends to `l.smallSets`, i.e. for any `ε>0` there exists `t ∈ l` such that
`‖∫ x in s, f x ∂μ - μ s • c‖ ≤ ε * μ s` whenever `s ⊆ t`. We also formulate a version of this
theorem for a locally finite measure `μ` and a function `f` continuous at a point `a`.
## Notation
We provide the following notations for expressing the integral of a function on a set :
* `∫ x in s, f x ∂μ` is `MeasureTheory.integral (μ.restrict s) f`
* `∫ x in s, f x` is `∫ x in s, f x ∂volume`
Note that the set notations are defined in the file `Mathlib/MeasureTheory/Integral/Bochner.lean`,
but we reference them here because all theorems about set integrals are in this file.
-/
assert_not_exists InnerProductSpace
noncomputable section
open Set Filter TopologicalSpace MeasureTheory Function RCLike
open scoped Classical Topology ENNReal NNReal
variable {X Y E F : Type*} [MeasurableSpace X]
namespace MeasureTheory
section NormedAddCommGroup
variable [NormedAddCommGroup E] [NormedSpace ℝ E]
{f g : X → E} {s t : Set X} {μ ν : Measure X} {l l' : Filter X}
theorem setIntegral_congr_ae₀ (hs : NullMeasurableSet s μ) (h : ∀ᵐ x ∂μ, x ∈ s → f x = g x) :
∫ x in s, f x ∂μ = ∫ x in s, g x ∂μ :=
integral_congr_ae ((ae_restrict_iff'₀ hs).2 h)
#align measure_theory.set_integral_congr_ae₀ MeasureTheory.setIntegral_congr_ae₀
@[deprecated (since := "2024-04-17")]
alias set_integral_congr_ae₀ := setIntegral_congr_ae₀
theorem setIntegral_congr_ae (hs : MeasurableSet s) (h : ∀ᵐ x ∂μ, x ∈ s → f x = g x) :
∫ x in s, f x ∂μ = ∫ x in s, g x ∂μ :=
integral_congr_ae ((ae_restrict_iff' hs).2 h)
#align measure_theory.set_integral_congr_ae MeasureTheory.setIntegral_congr_ae
@[deprecated (since := "2024-04-17")]
alias set_integral_congr_ae := setIntegral_congr_ae
theorem setIntegral_congr₀ (hs : NullMeasurableSet s μ) (h : EqOn f g s) :
∫ x in s, f x ∂μ = ∫ x in s, g x ∂μ :=
setIntegral_congr_ae₀ hs <| eventually_of_forall h
#align measure_theory.set_integral_congr₀ MeasureTheory.setIntegral_congr₀
@[deprecated (since := "2024-04-17")]
alias set_integral_congr₀ := setIntegral_congr₀
theorem setIntegral_congr (hs : MeasurableSet s) (h : EqOn f g s) :
∫ x in s, f x ∂μ = ∫ x in s, g x ∂μ :=
setIntegral_congr_ae hs <| eventually_of_forall h
#align measure_theory.set_integral_congr MeasureTheory.setIntegral_congr
@[deprecated (since := "2024-04-17")]
alias set_integral_congr := setIntegral_congr
theorem setIntegral_congr_set_ae (hst : s =ᵐ[μ] t) : ∫ x in s, f x ∂μ = ∫ x in t, f x ∂μ := by
rw [Measure.restrict_congr_set hst]
#align measure_theory.set_integral_congr_set_ae MeasureTheory.setIntegral_congr_set_ae
@[deprecated (since := "2024-04-17")]
alias set_integral_congr_set_ae := setIntegral_congr_set_ae
theorem integral_union_ae (hst : AEDisjoint μ s t) (ht : NullMeasurableSet t μ)
(hfs : IntegrableOn f s μ) (hft : IntegrableOn f t μ) :
∫ x in s ∪ t, f x ∂μ = ∫ x in s, f x ∂μ + ∫ x in t, f x ∂μ := by
simp only [IntegrableOn, Measure.restrict_union₀ hst ht, integral_add_measure hfs hft]
#align measure_theory.integral_union_ae MeasureTheory.integral_union_ae
theorem integral_union (hst : Disjoint s t) (ht : MeasurableSet t) (hfs : IntegrableOn f s μ)
(hft : IntegrableOn f t μ) : ∫ x in s ∪ t, f x ∂μ = ∫ x in s, f x ∂μ + ∫ x in t, f x ∂μ :=
integral_union_ae hst.aedisjoint ht.nullMeasurableSet hfs hft
#align measure_theory.integral_union MeasureTheory.integral_union
theorem integral_diff (ht : MeasurableSet t) (hfs : IntegrableOn f s μ) (hts : t ⊆ s) :
∫ x in s \ t, f x ∂μ = ∫ x in s, f x ∂μ - ∫ x in t, f x ∂μ := by
rw [eq_sub_iff_add_eq, ← integral_union, diff_union_of_subset hts]
exacts [disjoint_sdiff_self_left, ht, hfs.mono_set diff_subset, hfs.mono_set hts]
#align measure_theory.integral_diff MeasureTheory.integral_diff
theorem integral_inter_add_diff₀ (ht : NullMeasurableSet t μ) (hfs : IntegrableOn f s μ) :
∫ x in s ∩ t, f x ∂μ + ∫ x in s \ t, f x ∂μ = ∫ x in s, f x ∂μ := by
rw [← Measure.restrict_inter_add_diff₀ s ht, integral_add_measure]
· exact Integrable.mono_measure hfs (Measure.restrict_mono inter_subset_left le_rfl)
· exact Integrable.mono_measure hfs (Measure.restrict_mono diff_subset le_rfl)
#align measure_theory.integral_inter_add_diff₀ MeasureTheory.integral_inter_add_diff₀
theorem integral_inter_add_diff (ht : MeasurableSet t) (hfs : IntegrableOn f s μ) :
∫ x in s ∩ t, f x ∂μ + ∫ x in s \ t, f x ∂μ = ∫ x in s, f x ∂μ :=
integral_inter_add_diff₀ ht.nullMeasurableSet hfs
#align measure_theory.integral_inter_add_diff MeasureTheory.integral_inter_add_diff
theorem integral_finset_biUnion {ι : Type*} (t : Finset ι) {s : ι → Set X}
(hs : ∀ i ∈ t, MeasurableSet (s i)) (h's : Set.Pairwise (↑t) (Disjoint on s))
(hf : ∀ i ∈ t, IntegrableOn f (s i) μ) :
∫ x in ⋃ i ∈ t, s i, f x ∂μ = ∑ i ∈ t, ∫ x in s i, f x ∂μ := by
induction' t using Finset.induction_on with a t hat IH hs h's
· simp
· simp only [Finset.coe_insert, Finset.forall_mem_insert, Set.pairwise_insert,
Finset.set_biUnion_insert] at hs hf h's ⊢
rw [integral_union _ _ hf.1 (integrableOn_finset_iUnion.2 hf.2)]
· rw [Finset.sum_insert hat, IH hs.2 h's.1 hf.2]
· simp only [disjoint_iUnion_right]
exact fun i hi => (h's.2 i hi (ne_of_mem_of_not_mem hi hat).symm).1
· exact Finset.measurableSet_biUnion _ hs.2
#align measure_theory.integral_finset_bUnion MeasureTheory.integral_finset_biUnion
theorem integral_fintype_iUnion {ι : Type*} [Fintype ι] {s : ι → Set X}
(hs : ∀ i, MeasurableSet (s i)) (h's : Pairwise (Disjoint on s))
(hf : ∀ i, IntegrableOn f (s i) μ) : ∫ x in ⋃ i, s i, f x ∂μ = ∑ i, ∫ x in s i, f x ∂μ := by
convert integral_finset_biUnion Finset.univ (fun i _ => hs i) _ fun i _ => hf i
· simp
· simp [pairwise_univ, h's]
#align measure_theory.integral_fintype_Union MeasureTheory.integral_fintype_iUnion
theorem integral_empty : ∫ x in ∅, f x ∂μ = 0 := by
rw [Measure.restrict_empty, integral_zero_measure]
#align measure_theory.integral_empty MeasureTheory.integral_empty
theorem integral_univ : ∫ x in univ, f x ∂μ = ∫ x, f x ∂μ := by rw [Measure.restrict_univ]
#align measure_theory.integral_univ MeasureTheory.integral_univ
theorem integral_add_compl₀ (hs : NullMeasurableSet s μ) (hfi : Integrable f μ) :
∫ x in s, f x ∂μ + ∫ x in sᶜ, f x ∂μ = ∫ x, f x ∂μ := by
rw [
← integral_union_ae disjoint_compl_right.aedisjoint hs.compl hfi.integrableOn hfi.integrableOn,
union_compl_self, integral_univ]
#align measure_theory.integral_add_compl₀ MeasureTheory.integral_add_compl₀
theorem integral_add_compl (hs : MeasurableSet s) (hfi : Integrable f μ) :
∫ x in s, f x ∂μ + ∫ x in sᶜ, f x ∂μ = ∫ x, f x ∂μ :=
integral_add_compl₀ hs.nullMeasurableSet hfi
#align measure_theory.integral_add_compl MeasureTheory.integral_add_compl
/-- For a function `f` and a measurable set `s`, the integral of `indicator s f`
over the whole space is equal to `∫ x in s, f x ∂μ` defined as `∫ x, f x ∂(μ.restrict s)`. -/
theorem integral_indicator (hs : MeasurableSet s) :
∫ x, indicator s f x ∂μ = ∫ x in s, f x ∂μ := by
by_cases hfi : IntegrableOn f s μ; swap
· rw [integral_undef hfi, integral_undef]
rwa [integrable_indicator_iff hs]
calc
∫ x, indicator s f x ∂μ = ∫ x in s, indicator s f x ∂μ + ∫ x in sᶜ, indicator s f x ∂μ :=
(integral_add_compl hs (hfi.integrable_indicator hs)).symm
_ = ∫ x in s, f x ∂μ + ∫ x in sᶜ, 0 ∂μ :=
(congr_arg₂ (· + ·) (integral_congr_ae (indicator_ae_eq_restrict hs))
(integral_congr_ae (indicator_ae_eq_restrict_compl hs)))
_ = ∫ x in s, f x ∂μ := by simp
#align measure_theory.integral_indicator MeasureTheory.integral_indicator
theorem setIntegral_indicator (ht : MeasurableSet t) :
∫ x in s, t.indicator f x ∂μ = ∫ x in s ∩ t, f x ∂μ := by
rw [integral_indicator ht, Measure.restrict_restrict ht, Set.inter_comm]
#align measure_theory.set_integral_indicator MeasureTheory.setIntegral_indicator
@[deprecated (since := "2024-04-17")]
alias set_integral_indicator := setIntegral_indicator
theorem ofReal_setIntegral_one_of_measure_ne_top {X : Type*} {m : MeasurableSpace X}
{μ : Measure X} {s : Set X} (hs : μ s ≠ ∞) : ENNReal.ofReal (∫ _ in s, (1 : ℝ) ∂μ) = μ s :=
calc
ENNReal.ofReal (∫ _ in s, (1 : ℝ) ∂μ) = ENNReal.ofReal (∫ _ in s, ‖(1 : ℝ)‖ ∂μ) := by
simp only [norm_one]
_ = ∫⁻ _ in s, 1 ∂μ := by
rw [ofReal_integral_norm_eq_lintegral_nnnorm (integrableOn_const.2 (Or.inr hs.lt_top))]
simp only [nnnorm_one, ENNReal.coe_one]
_ = μ s := set_lintegral_one _
#align measure_theory.of_real_set_integral_one_of_measure_ne_top MeasureTheory.ofReal_setIntegral_one_of_measure_ne_top
@[deprecated (since := "2024-04-17")]
alias ofReal_set_integral_one_of_measure_ne_top := ofReal_setIntegral_one_of_measure_ne_top
theorem ofReal_setIntegral_one {X : Type*} {_ : MeasurableSpace X} (μ : Measure X)
[IsFiniteMeasure μ] (s : Set X) : ENNReal.ofReal (∫ _ in s, (1 : ℝ) ∂μ) = μ s :=
ofReal_setIntegral_one_of_measure_ne_top (measure_ne_top μ s)
#align measure_theory.of_real_set_integral_one MeasureTheory.ofReal_setIntegral_one
@[deprecated (since := "2024-04-17")]
alias ofReal_set_integral_one := ofReal_setIntegral_one
theorem integral_piecewise [DecidablePred (· ∈ s)] (hs : MeasurableSet s) (hf : IntegrableOn f s μ)
(hg : IntegrableOn g sᶜ μ) :
∫ x, s.piecewise f g x ∂μ = ∫ x in s, f x ∂μ + ∫ x in sᶜ, g x ∂μ := by
rw [← Set.indicator_add_compl_eq_piecewise,
integral_add' (hf.integrable_indicator hs) (hg.integrable_indicator hs.compl),
integral_indicator hs, integral_indicator hs.compl]
#align measure_theory.integral_piecewise MeasureTheory.integral_piecewise
theorem tendsto_setIntegral_of_monotone {ι : Type*} [Countable ι] [SemilatticeSup ι]
{s : ι → Set X} (hsm : ∀ i, MeasurableSet (s i)) (h_mono : Monotone s)
(hfi : IntegrableOn f (⋃ n, s n) μ) :
Tendsto (fun i => ∫ x in s i, f x ∂μ) atTop (𝓝 (∫ x in ⋃ n, s n, f x ∂μ)) := by
have hfi' : ∫⁻ x in ⋃ n, s n, ‖f x‖₊ ∂μ < ∞ := hfi.2
set S := ⋃ i, s i
have hSm : MeasurableSet S := MeasurableSet.iUnion hsm
have hsub : ∀ {i}, s i ⊆ S := @(subset_iUnion s)
rw [← withDensity_apply _ hSm] at hfi'
set ν := μ.withDensity fun x => ‖f x‖₊ with hν
refine Metric.nhds_basis_closedBall.tendsto_right_iff.2 fun ε ε0 => ?_
lift ε to ℝ≥0 using ε0.le
have : ∀ᶠ i in atTop, ν (s i) ∈ Icc (ν S - ε) (ν S + ε) :=
tendsto_measure_iUnion h_mono (ENNReal.Icc_mem_nhds hfi'.ne (ENNReal.coe_pos.2 ε0).ne')
filter_upwards [this] with i hi
rw [mem_closedBall_iff_norm', ← integral_diff (hsm i) hfi hsub, ← coe_nnnorm, NNReal.coe_le_coe, ←
ENNReal.coe_le_coe]
refine (ennnorm_integral_le_lintegral_ennnorm _).trans ?_
rw [← withDensity_apply _ (hSm.diff (hsm _)), ← hν, measure_diff hsub (hsm _)]
exacts [tsub_le_iff_tsub_le.mp hi.1,
(hi.2.trans_lt <| ENNReal.add_lt_top.2 ⟨hfi', ENNReal.coe_lt_top⟩).ne]
#align measure_theory.tendsto_set_integral_of_monotone MeasureTheory.tendsto_setIntegral_of_monotone
@[deprecated (since := "2024-04-17")]
alias tendsto_set_integral_of_monotone := tendsto_setIntegral_of_monotone
theorem tendsto_setIntegral_of_antitone {ι : Type*} [Countable ι] [SemilatticeSup ι]
{s : ι → Set X} (hsm : ∀ i, MeasurableSet (s i)) (h_anti : Antitone s)
(hfi : ∃ i, IntegrableOn f (s i) μ) :
Tendsto (fun i ↦ ∫ x in s i, f x ∂μ) atTop (𝓝 (∫ x in ⋂ n, s n, f x ∂μ)) := by
set S := ⋂ i, s i
have hSm : MeasurableSet S := MeasurableSet.iInter hsm
have hsub i : S ⊆ s i := iInter_subset _ _
set ν := μ.withDensity fun x => ‖f x‖₊ with hν
refine Metric.nhds_basis_closedBall.tendsto_right_iff.2 fun ε ε0 => ?_
lift ε to ℝ≥0 using ε0.le
rcases hfi with ⟨i₀, hi₀⟩
have νi₀ : ν (s i₀) ≠ ∞ := by
simpa [hsm i₀, ν, ENNReal.ofReal, norm_toNNReal] using hi₀.norm.lintegral_lt_top.ne
have νS : ν S ≠ ∞ := ((measure_mono (hsub i₀)).trans_lt νi₀.lt_top).ne
have : ∀ᶠ i in atTop, ν (s i) ∈ Icc (ν S - ε) (ν S + ε) := by
apply tendsto_measure_iInter hsm h_anti ⟨i₀, νi₀⟩
apply ENNReal.Icc_mem_nhds νS (ENNReal.coe_pos.2 ε0).ne'
filter_upwards [this, Ici_mem_atTop i₀] with i hi h'i
rw [mem_closedBall_iff_norm, ← integral_diff hSm (hi₀.mono_set (h_anti h'i)) (hsub i),
← coe_nnnorm, NNReal.coe_le_coe, ← ENNReal.coe_le_coe]
refine (ennnorm_integral_le_lintegral_ennnorm _).trans ?_
rw [← withDensity_apply _ ((hsm _).diff hSm), ← hν, measure_diff (hsub i) hSm νS]
exact tsub_le_iff_left.2 hi.2
@[deprecated (since := "2024-04-17")]
alias tendsto_set_integral_of_antitone := tendsto_setIntegral_of_antitone
theorem hasSum_integral_iUnion_ae {ι : Type*} [Countable ι] {s : ι → Set X}
(hm : ∀ i, NullMeasurableSet (s i) μ) (hd : Pairwise (AEDisjoint μ on s))
(hfi : IntegrableOn f (⋃ i, s i) μ) :
HasSum (fun n => ∫ x in s n, f x ∂μ) (∫ x in ⋃ n, s n, f x ∂μ) := by
simp only [IntegrableOn, Measure.restrict_iUnion_ae hd hm] at hfi ⊢
exact hasSum_integral_measure hfi
#align measure_theory.has_sum_integral_Union_ae MeasureTheory.hasSum_integral_iUnion_ae
theorem hasSum_integral_iUnion {ι : Type*} [Countable ι] {s : ι → Set X}
(hm : ∀ i, MeasurableSet (s i)) (hd : Pairwise (Disjoint on s))
(hfi : IntegrableOn f (⋃ i, s i) μ) :
HasSum (fun n => ∫ x in s n, f x ∂μ) (∫ x in ⋃ n, s n, f x ∂μ) :=
hasSum_integral_iUnion_ae (fun i => (hm i).nullMeasurableSet) (hd.mono fun _ _ h => h.aedisjoint)
hfi
#align measure_theory.has_sum_integral_Union MeasureTheory.hasSum_integral_iUnion
theorem integral_iUnion {ι : Type*} [Countable ι] {s : ι → Set X} (hm : ∀ i, MeasurableSet (s i))
(hd : Pairwise (Disjoint on s)) (hfi : IntegrableOn f (⋃ i, s i) μ) :
∫ x in ⋃ n, s n, f x ∂μ = ∑' n, ∫ x in s n, f x ∂μ :=
(HasSum.tsum_eq (hasSum_integral_iUnion hm hd hfi)).symm
#align measure_theory.integral_Union MeasureTheory.integral_iUnion
theorem integral_iUnion_ae {ι : Type*} [Countable ι] {s : ι → Set X}
(hm : ∀ i, NullMeasurableSet (s i) μ) (hd : Pairwise (AEDisjoint μ on s))
(hfi : IntegrableOn f (⋃ i, s i) μ) : ∫ x in ⋃ n, s n, f x ∂μ = ∑' n, ∫ x in s n, f x ∂μ :=
(HasSum.tsum_eq (hasSum_integral_iUnion_ae hm hd hfi)).symm
#align measure_theory.integral_Union_ae MeasureTheory.integral_iUnion_ae
theorem setIntegral_eq_zero_of_ae_eq_zero (ht_eq : ∀ᵐ x ∂μ, x ∈ t → f x = 0) :
∫ x in t, f x ∂μ = 0 := by
by_cases hf : AEStronglyMeasurable f (μ.restrict t); swap
· rw [integral_undef]
contrapose! hf
exact hf.1
have : ∫ x in t, hf.mk f x ∂μ = 0 := by
refine integral_eq_zero_of_ae ?_
rw [EventuallyEq,
ae_restrict_iff (hf.stronglyMeasurable_mk.measurableSet_eq_fun stronglyMeasurable_zero)]
filter_upwards [ae_imp_of_ae_restrict hf.ae_eq_mk, ht_eq] with x hx h'x h''x
rw [← hx h''x]
exact h'x h''x
rw [← this]
exact integral_congr_ae hf.ae_eq_mk
#align measure_theory.set_integral_eq_zero_of_ae_eq_zero MeasureTheory.setIntegral_eq_zero_of_ae_eq_zero
@[deprecated (since := "2024-04-17")]
alias set_integral_eq_zero_of_ae_eq_zero := setIntegral_eq_zero_of_ae_eq_zero
theorem setIntegral_eq_zero_of_forall_eq_zero (ht_eq : ∀ x ∈ t, f x = 0) :
∫ x in t, f x ∂μ = 0 :=
setIntegral_eq_zero_of_ae_eq_zero (eventually_of_forall ht_eq)
#align measure_theory.set_integral_eq_zero_of_forall_eq_zero MeasureTheory.setIntegral_eq_zero_of_forall_eq_zero
@[deprecated (since := "2024-04-17")]
alias set_integral_eq_zero_of_forall_eq_zero := setIntegral_eq_zero_of_forall_eq_zero
theorem integral_union_eq_left_of_ae_aux (ht_eq : ∀ᵐ x ∂μ.restrict t, f x = 0)
(haux : StronglyMeasurable f) (H : IntegrableOn f (s ∪ t) μ) :
∫ x in s ∪ t, f x ∂μ = ∫ x in s, f x ∂μ := by
let k := f ⁻¹' {0}
have hk : MeasurableSet k := by borelize E; exact haux.measurable (measurableSet_singleton _)
have h's : IntegrableOn f s μ := H.mono subset_union_left le_rfl
have A : ∀ u : Set X, ∫ x in u ∩ k, f x ∂μ = 0 := fun u =>
setIntegral_eq_zero_of_forall_eq_zero fun x hx => hx.2
rw [← integral_inter_add_diff hk h's, ← integral_inter_add_diff hk H, A, A, zero_add, zero_add,
union_diff_distrib, union_comm]
apply setIntegral_congr_set_ae
rw [union_ae_eq_right]
apply measure_mono_null diff_subset
rw [measure_zero_iff_ae_nmem]
filter_upwards [ae_imp_of_ae_restrict ht_eq] with x hx h'x using h'x.2 (hx h'x.1)
#align measure_theory.integral_union_eq_left_of_ae_aux MeasureTheory.integral_union_eq_left_of_ae_aux
theorem integral_union_eq_left_of_ae (ht_eq : ∀ᵐ x ∂μ.restrict t, f x = 0) :
∫ x in s ∪ t, f x ∂μ = ∫ x in s, f x ∂μ := by
have ht : IntegrableOn f t μ := by apply integrableOn_zero.congr_fun_ae; symm; exact ht_eq
by_cases H : IntegrableOn f (s ∪ t) μ; swap
· rw [integral_undef H, integral_undef]; simpa [integrableOn_union, ht] using H
let f' := H.1.mk f
calc
∫ x : X in s ∪ t, f x ∂μ = ∫ x : X in s ∪ t, f' x ∂μ := integral_congr_ae H.1.ae_eq_mk
_ = ∫ x in s, f' x ∂μ := by
apply
integral_union_eq_left_of_ae_aux _ H.1.stronglyMeasurable_mk (H.congr_fun_ae H.1.ae_eq_mk)
filter_upwards [ht_eq,
ae_mono (Measure.restrict_mono subset_union_right le_rfl) H.1.ae_eq_mk] with x hx h'x
rw [← h'x, hx]
_ = ∫ x in s, f x ∂μ :=
integral_congr_ae
(ae_mono (Measure.restrict_mono subset_union_left le_rfl) H.1.ae_eq_mk.symm)
#align measure_theory.integral_union_eq_left_of_ae MeasureTheory.integral_union_eq_left_of_ae
theorem integral_union_eq_left_of_forall₀ {f : X → E} (ht : NullMeasurableSet t μ)
(ht_eq : ∀ x ∈ t, f x = 0) : ∫ x in s ∪ t, f x ∂μ = ∫ x in s, f x ∂μ :=
integral_union_eq_left_of_ae ((ae_restrict_iff'₀ ht).2 (eventually_of_forall ht_eq))
#align measure_theory.integral_union_eq_left_of_forall₀ MeasureTheory.integral_union_eq_left_of_forall₀
theorem integral_union_eq_left_of_forall {f : X → E} (ht : MeasurableSet t)
(ht_eq : ∀ x ∈ t, f x = 0) : ∫ x in s ∪ t, f x ∂μ = ∫ x in s, f x ∂μ :=
integral_union_eq_left_of_forall₀ ht.nullMeasurableSet ht_eq
#align measure_theory.integral_union_eq_left_of_forall MeasureTheory.integral_union_eq_left_of_forall
theorem setIntegral_eq_of_subset_of_ae_diff_eq_zero_aux (hts : s ⊆ t)
(h't : ∀ᵐ x ∂μ, x ∈ t \ s → f x = 0) (haux : StronglyMeasurable f)
(h'aux : IntegrableOn f t μ) : ∫ x in t, f x ∂μ = ∫ x in s, f x ∂μ := by
let k := f ⁻¹' {0}
have hk : MeasurableSet k := by borelize E; exact haux.measurable (measurableSet_singleton _)
calc
∫ x in t, f x ∂μ = ∫ x in t ∩ k, f x ∂μ + ∫ x in t \ k, f x ∂μ := by
rw [integral_inter_add_diff hk h'aux]
_ = ∫ x in t \ k, f x ∂μ := by
rw [setIntegral_eq_zero_of_forall_eq_zero fun x hx => ?_, zero_add]; exact hx.2
_ = ∫ x in s \ k, f x ∂μ := by
apply setIntegral_congr_set_ae
filter_upwards [h't] with x hx
change (x ∈ t \ k) = (x ∈ s \ k)
simp only [mem_preimage, mem_singleton_iff, eq_iff_iff, and_congr_left_iff, mem_diff]
intro h'x
by_cases xs : x ∈ s
· simp only [xs, hts xs]
· simp only [xs, iff_false_iff]
intro xt
exact h'x (hx ⟨xt, xs⟩)
_ = ∫ x in s ∩ k, f x ∂μ + ∫ x in s \ k, f x ∂μ := by
have : ∀ x ∈ s ∩ k, f x = 0 := fun x hx => hx.2
rw [setIntegral_eq_zero_of_forall_eq_zero this, zero_add]
_ = ∫ x in s, f x ∂μ := by rw [integral_inter_add_diff hk (h'aux.mono hts le_rfl)]
#align measure_theory.set_integral_eq_of_subset_of_ae_diff_eq_zero_aux MeasureTheory.setIntegral_eq_of_subset_of_ae_diff_eq_zero_aux
@[deprecated (since := "2024-04-17")]
alias set_integral_eq_of_subset_of_ae_diff_eq_zero_aux :=
setIntegral_eq_of_subset_of_ae_diff_eq_zero_aux
/-- If a function vanishes almost everywhere on `t \ s` with `s ⊆ t`, then its integrals on `s`
and `t` coincide if `t` is null-measurable. -/
theorem setIntegral_eq_of_subset_of_ae_diff_eq_zero (ht : NullMeasurableSet t μ) (hts : s ⊆ t)
(h't : ∀ᵐ x ∂μ, x ∈ t \ s → f x = 0) : ∫ x in t, f x ∂μ = ∫ x in s, f x ∂μ := by
by_cases h : IntegrableOn f t μ; swap
· have : ¬IntegrableOn f s μ := fun H => h (H.of_ae_diff_eq_zero ht h't)
rw [integral_undef h, integral_undef this]
let f' := h.1.mk f
calc
∫ x in t, f x ∂μ = ∫ x in t, f' x ∂μ := integral_congr_ae h.1.ae_eq_mk
_ = ∫ x in s, f' x ∂μ := by
apply
setIntegral_eq_of_subset_of_ae_diff_eq_zero_aux hts _ h.1.stronglyMeasurable_mk
(h.congr h.1.ae_eq_mk)
filter_upwards [h't, ae_imp_of_ae_restrict h.1.ae_eq_mk] with x hx h'x h''x
rw [← h'x h''x.1, hx h''x]
_ = ∫ x in s, f x ∂μ := by
apply integral_congr_ae
apply ae_restrict_of_ae_restrict_of_subset hts
exact h.1.ae_eq_mk.symm
#align measure_theory.set_integral_eq_of_subset_of_ae_diff_eq_zero MeasureTheory.setIntegral_eq_of_subset_of_ae_diff_eq_zero
@[deprecated (since := "2024-04-17")]
alias set_integral_eq_of_subset_of_ae_diff_eq_zero := setIntegral_eq_of_subset_of_ae_diff_eq_zero
/-- If a function vanishes on `t \ s` with `s ⊆ t`, then its integrals on `s`
and `t` coincide if `t` is measurable. -/
theorem setIntegral_eq_of_subset_of_forall_diff_eq_zero (ht : MeasurableSet t) (hts : s ⊆ t)
(h't : ∀ x ∈ t \ s, f x = 0) : ∫ x in t, f x ∂μ = ∫ x in s, f x ∂μ :=
setIntegral_eq_of_subset_of_ae_diff_eq_zero ht.nullMeasurableSet hts
(eventually_of_forall fun x hx => h't x hx)
#align measure_theory.set_integral_eq_of_subset_of_forall_diff_eq_zero MeasureTheory.setIntegral_eq_of_subset_of_forall_diff_eq_zero
@[deprecated (since := "2024-04-17")]
alias set_integral_eq_of_subset_of_forall_diff_eq_zero :=
setIntegral_eq_of_subset_of_forall_diff_eq_zero
/-- If a function vanishes almost everywhere on `sᶜ`, then its integral on `s`
coincides with its integral on the whole space. -/
theorem setIntegral_eq_integral_of_ae_compl_eq_zero (h : ∀ᵐ x ∂μ, x ∉ s → f x = 0) :
∫ x in s, f x ∂μ = ∫ x, f x ∂μ := by
symm
nth_rw 1 [← integral_univ]
apply setIntegral_eq_of_subset_of_ae_diff_eq_zero nullMeasurableSet_univ (subset_univ _)
filter_upwards [h] with x hx h'x using hx h'x.2
#align measure_theory.set_integral_eq_integral_of_ae_compl_eq_zero MeasureTheory.setIntegral_eq_integral_of_ae_compl_eq_zero
@[deprecated (since := "2024-04-17")]
alias set_integral_eq_integral_of_ae_compl_eq_zero := setIntegral_eq_integral_of_ae_compl_eq_zero
/-- If a function vanishes on `sᶜ`, then its integral on `s` coincides with its integral on the
whole space. -/
theorem setIntegral_eq_integral_of_forall_compl_eq_zero (h : ∀ x, x ∉ s → f x = 0) :
∫ x in s, f x ∂μ = ∫ x, f x ∂μ :=
setIntegral_eq_integral_of_ae_compl_eq_zero (eventually_of_forall h)
#align measure_theory.set_integral_eq_integral_of_forall_compl_eq_zero MeasureTheory.setIntegral_eq_integral_of_forall_compl_eq_zero
@[deprecated (since := "2024-04-17")]
alias set_integral_eq_integral_of_forall_compl_eq_zero :=
setIntegral_eq_integral_of_forall_compl_eq_zero
theorem setIntegral_neg_eq_setIntegral_nonpos [LinearOrder E] {f : X → E}
(hf : AEStronglyMeasurable f μ) :
∫ x in {x | f x < 0}, f x ∂μ = ∫ x in {x | f x ≤ 0}, f x ∂μ := by
have h_union : {x | f x ≤ 0} = {x | f x < 0} ∪ {x | f x = 0} := by
simp_rw [le_iff_lt_or_eq, setOf_or]
rw [h_union]
have B : NullMeasurableSet {x | f x = 0} μ :=
hf.nullMeasurableSet_eq_fun aestronglyMeasurable_zero
symm
refine integral_union_eq_left_of_ae ?_
filter_upwards [ae_restrict_mem₀ B] with x hx using hx
#align measure_theory.set_integral_neg_eq_set_integral_nonpos MeasureTheory.setIntegral_neg_eq_setIntegral_nonpos
@[deprecated (since := "2024-04-17")]
alias set_integral_neg_eq_set_integral_nonpos := setIntegral_neg_eq_setIntegral_nonpos
theorem integral_norm_eq_pos_sub_neg {f : X → ℝ} (hfi : Integrable f μ) :
∫ x, ‖f x‖ ∂μ = ∫ x in {x | 0 ≤ f x}, f x ∂μ - ∫ x in {x | f x ≤ 0}, f x ∂μ :=
have h_meas : NullMeasurableSet {x | 0 ≤ f x} μ :=
aestronglyMeasurable_const.nullMeasurableSet_le hfi.1
calc
∫ x, ‖f x‖ ∂μ = ∫ x in {x | 0 ≤ f x}, ‖f x‖ ∂μ + ∫ x in {x | 0 ≤ f x}ᶜ, ‖f x‖ ∂μ := by
rw [← integral_add_compl₀ h_meas hfi.norm]
_ = ∫ x in {x | 0 ≤ f x}, f x ∂μ + ∫ x in {x | 0 ≤ f x}ᶜ, ‖f x‖ ∂μ := by
congr 1
refine setIntegral_congr₀ h_meas fun x hx => ?_
dsimp only
rw [Real.norm_eq_abs, abs_eq_self.mpr _]
exact hx
_ = ∫ x in {x | 0 ≤ f x}, f x ∂μ - ∫ x in {x | 0 ≤ f x}ᶜ, f x ∂μ := by
congr 1
rw [← integral_neg]
refine setIntegral_congr₀ h_meas.compl fun x hx => ?_
dsimp only
rw [Real.norm_eq_abs, abs_eq_neg_self.mpr _]
rw [Set.mem_compl_iff, Set.nmem_setOf_iff] at hx
linarith
_ = ∫ x in {x | 0 ≤ f x}, f x ∂μ - ∫ x in {x | f x ≤ 0}, f x ∂μ := by
rw [← setIntegral_neg_eq_setIntegral_nonpos hfi.1, compl_setOf]; simp only [not_le]
#align measure_theory.integral_norm_eq_pos_sub_neg MeasureTheory.integral_norm_eq_pos_sub_neg
theorem setIntegral_const [CompleteSpace E] (c : E) : ∫ _ in s, c ∂μ = (μ s).toReal • c := by
rw [integral_const, Measure.restrict_apply_univ]
#align measure_theory.set_integral_const MeasureTheory.setIntegral_const
@[deprecated (since := "2024-04-17")]
alias set_integral_const := setIntegral_const
@[simp]
theorem integral_indicator_const [CompleteSpace E] (e : E) ⦃s : Set X⦄ (s_meas : MeasurableSet s) :
∫ x : X, s.indicator (fun _ : X => e) x ∂μ = (μ s).toReal • e := by
rw [integral_indicator s_meas, ← setIntegral_const]
#align measure_theory.integral_indicator_const MeasureTheory.integral_indicator_const
@[simp]
theorem integral_indicator_one ⦃s : Set X⦄ (hs : MeasurableSet s) :
∫ x, s.indicator 1 x ∂μ = (μ s).toReal :=
(integral_indicator_const 1 hs).trans ((smul_eq_mul _).trans (mul_one _))
#align measure_theory.integral_indicator_one MeasureTheory.integral_indicator_one
theorem setIntegral_indicatorConstLp [CompleteSpace E]
{p : ℝ≥0∞} (hs : MeasurableSet s) (ht : MeasurableSet t) (hμt : μ t ≠ ∞) (e : E) :
∫ x in s, indicatorConstLp p ht hμt e x ∂μ = (μ (t ∩ s)).toReal • e :=
calc
∫ x in s, indicatorConstLp p ht hμt e x ∂μ = ∫ x in s, t.indicator (fun _ => e) x ∂μ := by
rw [setIntegral_congr_ae hs (indicatorConstLp_coeFn.mono fun x hx _ => hx)]
_ = (μ (t ∩ s)).toReal • e := by rw [integral_indicator_const _ ht, Measure.restrict_apply ht]
set_option linter.uppercaseLean3 false in
#align measure_theory.set_integral_indicator_const_Lp MeasureTheory.setIntegral_indicatorConstLp
@[deprecated (since := "2024-04-17")]
alias set_integral_indicatorConstLp := setIntegral_indicatorConstLp
theorem integral_indicatorConstLp [CompleteSpace E]
{p : ℝ≥0∞} (ht : MeasurableSet t) (hμt : μ t ≠ ∞) (e : E) :
∫ x, indicatorConstLp p ht hμt e x ∂μ = (μ t).toReal • e :=
calc
∫ x, indicatorConstLp p ht hμt e x ∂μ = ∫ x in univ, indicatorConstLp p ht hμt e x ∂μ := by
rw [integral_univ]
_ = (μ (t ∩ univ)).toReal • e := setIntegral_indicatorConstLp MeasurableSet.univ ht hμt e
_ = (μ t).toReal • e := by rw [inter_univ]
set_option linter.uppercaseLean3 false in
#align measure_theory.integral_indicator_const_Lp MeasureTheory.integral_indicatorConstLp
theorem setIntegral_map {Y} [MeasurableSpace Y] {g : X → Y} {f : Y → E} {s : Set Y}
(hs : MeasurableSet s) (hf : AEStronglyMeasurable f (Measure.map g μ)) (hg : AEMeasurable g μ) :
∫ y in s, f y ∂Measure.map g μ = ∫ x in g ⁻¹' s, f (g x) ∂μ := by
rw [Measure.restrict_map_of_aemeasurable hg hs,
integral_map (hg.mono_measure Measure.restrict_le_self) (hf.mono_measure _)]
exact Measure.map_mono_of_aemeasurable Measure.restrict_le_self hg
#align measure_theory.set_integral_map MeasureTheory.setIntegral_map
@[deprecated (since := "2024-04-17")]
alias set_integral_map := setIntegral_map
theorem _root_.MeasurableEmbedding.setIntegral_map {Y} {_ : MeasurableSpace Y} {f : X → Y}
(hf : MeasurableEmbedding f) (g : Y → E) (s : Set Y) :
∫ y in s, g y ∂Measure.map f μ = ∫ x in f ⁻¹' s, g (f x) ∂μ := by
rw [hf.restrict_map, hf.integral_map]
#align measurable_embedding.set_integral_map MeasurableEmbedding.setIntegral_map
@[deprecated (since := "2024-04-17")]
alias _root_.MeasurableEmbedding.set_integral_map := _root_.MeasurableEmbedding.setIntegral_map
theorem _root_.ClosedEmbedding.setIntegral_map [TopologicalSpace X] [BorelSpace X] {Y}
[MeasurableSpace Y] [TopologicalSpace Y] [BorelSpace Y] {g : X → Y} {f : Y → E} (s : Set Y)
(hg : ClosedEmbedding g) : ∫ y in s, f y ∂Measure.map g μ = ∫ x in g ⁻¹' s, f (g x) ∂μ :=
hg.measurableEmbedding.setIntegral_map _ _
#align closed_embedding.set_integral_map ClosedEmbedding.setIntegral_map
@[deprecated (since := "2024-04-17")]
alias _root_.ClosedEmbedding.set_integral_map := _root_.ClosedEmbedding.setIntegral_map
theorem MeasurePreserving.setIntegral_preimage_emb {Y} {_ : MeasurableSpace Y} {f : X → Y} {ν}
(h₁ : MeasurePreserving f μ ν) (h₂ : MeasurableEmbedding f) (g : Y → E) (s : Set Y) :
∫ x in f ⁻¹' s, g (f x) ∂μ = ∫ y in s, g y ∂ν :=
(h₁.restrict_preimage_emb h₂ s).integral_comp h₂ _
#align measure_theory.measure_preserving.set_integral_preimage_emb MeasureTheory.MeasurePreserving.setIntegral_preimage_emb
@[deprecated (since := "2024-04-17")]
alias MeasurePreserving.set_integral_preimage_emb := MeasurePreserving.setIntegral_preimage_emb
theorem MeasurePreserving.setIntegral_image_emb {Y} {_ : MeasurableSpace Y} {f : X → Y} {ν}
(h₁ : MeasurePreserving f μ ν) (h₂ : MeasurableEmbedding f) (g : Y → E) (s : Set X) :
∫ y in f '' s, g y ∂ν = ∫ x in s, g (f x) ∂μ :=
Eq.symm <| (h₁.restrict_image_emb h₂ s).integral_comp h₂ _
#align measure_theory.measure_preserving.set_integral_image_emb MeasureTheory.MeasurePreserving.setIntegral_image_emb
@[deprecated (since := "2024-04-17")]
alias MeasurePreserving.set_integral_image_emb := MeasurePreserving.setIntegral_image_emb
theorem setIntegral_map_equiv {Y} [MeasurableSpace Y] (e : X ≃ᵐ Y) (f : Y → E) (s : Set Y) :
∫ y in s, f y ∂Measure.map e μ = ∫ x in e ⁻¹' s, f (e x) ∂μ :=
e.measurableEmbedding.setIntegral_map f s
#align measure_theory.set_integral_map_equiv MeasureTheory.setIntegral_map_equiv
@[deprecated (since := "2024-04-17")]
alias set_integral_map_equiv := setIntegral_map_equiv
theorem norm_setIntegral_le_of_norm_le_const_ae {C : ℝ} (hs : μ s < ∞)
(hC : ∀ᵐ x ∂μ.restrict s, ‖f x‖ ≤ C) : ‖∫ x in s, f x ∂μ‖ ≤ C * (μ s).toReal := by
rw [← Measure.restrict_apply_univ] at *
haveI : IsFiniteMeasure (μ.restrict s) := ⟨hs⟩
exact norm_integral_le_of_norm_le_const hC
#align measure_theory.norm_set_integral_le_of_norm_le_const_ae MeasureTheory.norm_setIntegral_le_of_norm_le_const_ae
@[deprecated (since := "2024-04-17")]
alias norm_set_integral_le_of_norm_le_const_ae := norm_setIntegral_le_of_norm_le_const_ae
theorem norm_setIntegral_le_of_norm_le_const_ae' {C : ℝ} (hs : μ s < ∞)
(hC : ∀ᵐ x ∂μ, x ∈ s → ‖f x‖ ≤ C) (hfm : AEStronglyMeasurable f (μ.restrict s)) :
‖∫ x in s, f x ∂μ‖ ≤ C * (μ s).toReal := by
apply norm_setIntegral_le_of_norm_le_const_ae hs
have A : ∀ᵐ x : X ∂μ, x ∈ s → ‖AEStronglyMeasurable.mk f hfm x‖ ≤ C := by
filter_upwards [hC, hfm.ae_mem_imp_eq_mk] with _ h1 h2 h3
rw [← h2 h3]
exact h1 h3
have B : MeasurableSet {x | ‖hfm.mk f x‖ ≤ C} :=
hfm.stronglyMeasurable_mk.norm.measurable measurableSet_Iic
filter_upwards [hfm.ae_eq_mk, (ae_restrict_iff B).2 A] with _ h1 _
rwa [h1]
#align measure_theory.norm_set_integral_le_of_norm_le_const_ae' MeasureTheory.norm_setIntegral_le_of_norm_le_const_ae'
@[deprecated (since := "2024-04-17")]
alias norm_set_integral_le_of_norm_le_const_ae' := norm_setIntegral_le_of_norm_le_const_ae'
theorem norm_setIntegral_le_of_norm_le_const_ae'' {C : ℝ} (hs : μ s < ∞) (hsm : MeasurableSet s)
(hC : ∀ᵐ x ∂μ, x ∈ s → ‖f x‖ ≤ C) : ‖∫ x in s, f x ∂μ‖ ≤ C * (μ s).toReal :=
norm_setIntegral_le_of_norm_le_const_ae hs <| by
rwa [ae_restrict_eq hsm, eventually_inf_principal]
#align measure_theory.norm_set_integral_le_of_norm_le_const_ae'' MeasureTheory.norm_setIntegral_le_of_norm_le_const_ae''
@[deprecated (since := "2024-04-17")]
alias norm_set_integral_le_of_norm_le_const_ae'' := norm_setIntegral_le_of_norm_le_const_ae''
theorem norm_setIntegral_le_of_norm_le_const {C : ℝ} (hs : μ s < ∞) (hC : ∀ x ∈ s, ‖f x‖ ≤ C)
(hfm : AEStronglyMeasurable f (μ.restrict s)) : ‖∫ x in s, f x ∂μ‖ ≤ C * (μ s).toReal :=
norm_setIntegral_le_of_norm_le_const_ae' hs (eventually_of_forall hC) hfm
#align measure_theory.norm_set_integral_le_of_norm_le_const MeasureTheory.norm_setIntegral_le_of_norm_le_const
@[deprecated (since := "2024-04-17")]
alias norm_set_integral_le_of_norm_le_const := norm_setIntegral_le_of_norm_le_const
theorem norm_setIntegral_le_of_norm_le_const' {C : ℝ} (hs : μ s < ∞) (hsm : MeasurableSet s)
(hC : ∀ x ∈ s, ‖f x‖ ≤ C) : ‖∫ x in s, f x ∂μ‖ ≤ C * (μ s).toReal :=
norm_setIntegral_le_of_norm_le_const_ae'' hs hsm <| eventually_of_forall hC
#align measure_theory.norm_set_integral_le_of_norm_le_const' MeasureTheory.norm_setIntegral_le_of_norm_le_const'
@[deprecated (since := "2024-04-17")]
alias norm_set_integral_le_of_norm_le_const' := norm_setIntegral_le_of_norm_le_const'
theorem setIntegral_eq_zero_iff_of_nonneg_ae {f : X → ℝ} (hf : 0 ≤ᵐ[μ.restrict s] f)
(hfi : IntegrableOn f s μ) : ∫ x in s, f x ∂μ = 0 ↔ f =ᵐ[μ.restrict s] 0 :=
integral_eq_zero_iff_of_nonneg_ae hf hfi
#align measure_theory.set_integral_eq_zero_iff_of_nonneg_ae MeasureTheory.setIntegral_eq_zero_iff_of_nonneg_ae
@[deprecated (since := "2024-04-17")]
alias set_integral_eq_zero_iff_of_nonneg_ae := setIntegral_eq_zero_iff_of_nonneg_ae
theorem setIntegral_pos_iff_support_of_nonneg_ae {f : X → ℝ} (hf : 0 ≤ᵐ[μ.restrict s] f)
(hfi : IntegrableOn f s μ) : (0 < ∫ x in s, f x ∂μ) ↔ 0 < μ (support f ∩ s) := by
rw [integral_pos_iff_support_of_nonneg_ae hf hfi, Measure.restrict_apply₀]
rw [support_eq_preimage]
exact hfi.aestronglyMeasurable.aemeasurable.nullMeasurable (measurableSet_singleton 0).compl
#align measure_theory.set_integral_pos_iff_support_of_nonneg_ae MeasureTheory.setIntegral_pos_iff_support_of_nonneg_ae
@[deprecated (since := "2024-04-17")]
alias set_integral_pos_iff_support_of_nonneg_ae := setIntegral_pos_iff_support_of_nonneg_ae
theorem setIntegral_gt_gt {R : ℝ} {f : X → ℝ} (hR : 0 ≤ R) (hfm : Measurable f)
(hfint : IntegrableOn f {x | ↑R < f x} μ) (hμ : μ {x | ↑R < f x} ≠ 0) :
(μ {x | ↑R < f x}).toReal * R < ∫ x in {x | ↑R < f x}, f x ∂μ := by
have : IntegrableOn (fun _ => R) {x | ↑R < f x} μ := by
refine ⟨aestronglyMeasurable_const, lt_of_le_of_lt ?_ hfint.2⟩
refine
set_lintegral_mono (Measurable.nnnorm ?_).coe_nnreal_ennreal hfm.nnnorm.coe_nnreal_ennreal
fun x hx => ?_
· exact measurable_const
· simp only [ENNReal.coe_le_coe, Real.nnnorm_of_nonneg hR,
Real.nnnorm_of_nonneg (hR.trans <| le_of_lt hx), Subtype.mk_le_mk]
exact le_of_lt hx
rw [← sub_pos, ← smul_eq_mul, ← setIntegral_const, ← integral_sub hfint this,
setIntegral_pos_iff_support_of_nonneg_ae]
· rw [← zero_lt_iff] at hμ
rwa [Set.inter_eq_self_of_subset_right]
exact fun x hx => Ne.symm (ne_of_lt <| sub_pos.2 hx)
· rw [Pi.zero_def, EventuallyLE, ae_restrict_iff]
· exact eventually_of_forall fun x hx => sub_nonneg.2 <| le_of_lt hx
· exact measurableSet_le measurable_zero (hfm.sub measurable_const)
· exact Integrable.sub hfint this
#align measure_theory.set_integral_gt_gt MeasureTheory.setIntegral_gt_gt
@[deprecated (since := "2024-04-17")]
alias set_integral_gt_gt := setIntegral_gt_gt
theorem setIntegral_trim {X} {m m0 : MeasurableSpace X} {μ : Measure X} (hm : m ≤ m0) {f : X → E}
(hf_meas : StronglyMeasurable[m] f) {s : Set X} (hs : MeasurableSet[m] s) :
∫ x in s, f x ∂μ = ∫ x in s, f x ∂μ.trim hm := by
rwa [integral_trim hm hf_meas, restrict_trim hm μ]
#align measure_theory.set_integral_trim MeasureTheory.setIntegral_trim
@[deprecated (since := "2024-04-17")]
alias set_integral_trim := setIntegral_trim
/-! ### Lemmas about adding and removing interval boundaries
The primed lemmas take explicit arguments about the endpoint having zero measure, while the
unprimed ones use `[NoAtoms μ]`.
-/
section PartialOrder
variable [PartialOrder X] {x y : X}
theorem integral_Icc_eq_integral_Ioc' (hx : μ {x} = 0) :
∫ t in Icc x y, f t ∂μ = ∫ t in Ioc x y, f t ∂μ :=
setIntegral_congr_set_ae (Ioc_ae_eq_Icc' hx).symm
#align measure_theory.integral_Icc_eq_integral_Ioc' MeasureTheory.integral_Icc_eq_integral_Ioc'
theorem integral_Icc_eq_integral_Ico' (hy : μ {y} = 0) :
∫ t in Icc x y, f t ∂μ = ∫ t in Ico x y, f t ∂μ :=
setIntegral_congr_set_ae (Ico_ae_eq_Icc' hy).symm
#align measure_theory.integral_Icc_eq_integral_Ico' MeasureTheory.integral_Icc_eq_integral_Ico'
theorem integral_Ioc_eq_integral_Ioo' (hy : μ {y} = 0) :
∫ t in Ioc x y, f t ∂μ = ∫ t in Ioo x y, f t ∂μ :=
setIntegral_congr_set_ae (Ioo_ae_eq_Ioc' hy).symm
#align measure_theory.integral_Ioc_eq_integral_Ioo' MeasureTheory.integral_Ioc_eq_integral_Ioo'
theorem integral_Ico_eq_integral_Ioo' (hx : μ {x} = 0) :
∫ t in Ico x y, f t ∂μ = ∫ t in Ioo x y, f t ∂μ :=
setIntegral_congr_set_ae (Ioo_ae_eq_Ico' hx).symm
#align measure_theory.integral_Ico_eq_integral_Ioo' MeasureTheory.integral_Ico_eq_integral_Ioo'
theorem integral_Icc_eq_integral_Ioo' (hx : μ {x} = 0) (hy : μ {y} = 0) :
∫ t in Icc x y, f t ∂μ = ∫ t in Ioo x y, f t ∂μ :=
setIntegral_congr_set_ae (Ioo_ae_eq_Icc' hx hy).symm
#align measure_theory.integral_Icc_eq_integral_Ioo' MeasureTheory.integral_Icc_eq_integral_Ioo'
theorem integral_Iic_eq_integral_Iio' (hx : μ {x} = 0) :
∫ t in Iic x, f t ∂μ = ∫ t in Iio x, f t ∂μ :=
setIntegral_congr_set_ae (Iio_ae_eq_Iic' hx).symm
#align measure_theory.integral_Iic_eq_integral_Iio' MeasureTheory.integral_Iic_eq_integral_Iio'
theorem integral_Ici_eq_integral_Ioi' (hx : μ {x} = 0) :
∫ t in Ici x, f t ∂μ = ∫ t in Ioi x, f t ∂μ :=
setIntegral_congr_set_ae (Ioi_ae_eq_Ici' hx).symm
#align measure_theory.integral_Ici_eq_integral_Ioi' MeasureTheory.integral_Ici_eq_integral_Ioi'
variable [NoAtoms μ]
theorem integral_Icc_eq_integral_Ioc : ∫ t in Icc x y, f t ∂μ = ∫ t in Ioc x y, f t ∂μ :=
integral_Icc_eq_integral_Ioc' <| measure_singleton x
#align measure_theory.integral_Icc_eq_integral_Ioc MeasureTheory.integral_Icc_eq_integral_Ioc
theorem integral_Icc_eq_integral_Ico : ∫ t in Icc x y, f t ∂μ = ∫ t in Ico x y, f t ∂μ :=
integral_Icc_eq_integral_Ico' <| measure_singleton y
#align measure_theory.integral_Icc_eq_integral_Ico MeasureTheory.integral_Icc_eq_integral_Ico
theorem integral_Ioc_eq_integral_Ioo : ∫ t in Ioc x y, f t ∂μ = ∫ t in Ioo x y, f t ∂μ :=
integral_Ioc_eq_integral_Ioo' <| measure_singleton y
#align measure_theory.integral_Ioc_eq_integral_Ioo MeasureTheory.integral_Ioc_eq_integral_Ioo
theorem integral_Ico_eq_integral_Ioo : ∫ t in Ico x y, f t ∂μ = ∫ t in Ioo x y, f t ∂μ :=
integral_Ico_eq_integral_Ioo' <| measure_singleton x
#align measure_theory.integral_Ico_eq_integral_Ioo MeasureTheory.integral_Ico_eq_integral_Ioo
theorem integral_Icc_eq_integral_Ioo : ∫ t in Icc x y, f t ∂μ = ∫ t in Ioo x y, f t ∂μ := by
rw [integral_Icc_eq_integral_Ico, integral_Ico_eq_integral_Ioo]
#align measure_theory.integral_Icc_eq_integral_Ioo MeasureTheory.integral_Icc_eq_integral_Ioo
theorem integral_Iic_eq_integral_Iio : ∫ t in Iic x, f t ∂μ = ∫ t in Iio x, f t ∂μ :=
integral_Iic_eq_integral_Iio' <| measure_singleton x
#align measure_theory.integral_Iic_eq_integral_Iio MeasureTheory.integral_Iic_eq_integral_Iio
theorem integral_Ici_eq_integral_Ioi : ∫ t in Ici x, f t ∂μ = ∫ t in Ioi x, f t ∂μ :=
integral_Ici_eq_integral_Ioi' <| measure_singleton x
#align measure_theory.integral_Ici_eq_integral_Ioi MeasureTheory.integral_Ici_eq_integral_Ioi
end PartialOrder
end NormedAddCommGroup
section Mono
variable {μ : Measure X} {f g : X → ℝ} {s t : Set X} (hf : IntegrableOn f s μ)
(hg : IntegrableOn g s μ)
theorem setIntegral_mono_ae_restrict (h : f ≤ᵐ[μ.restrict s] g) :
∫ x in s, f x ∂μ ≤ ∫ x in s, g x ∂μ :=
integral_mono_ae hf hg h
#align measure_theory.set_integral_mono_ae_restrict MeasureTheory.setIntegral_mono_ae_restrict
@[deprecated (since := "2024-04-17")]
alias set_integral_mono_ae_restrict := setIntegral_mono_ae_restrict
theorem setIntegral_mono_ae (h : f ≤ᵐ[μ] g) : ∫ x in s, f x ∂μ ≤ ∫ x in s, g x ∂μ :=
setIntegral_mono_ae_restrict hf hg (ae_restrict_of_ae h)
#align measure_theory.set_integral_mono_ae MeasureTheory.setIntegral_mono_ae
@[deprecated (since := "2024-04-17")]
alias set_integral_mono_ae := setIntegral_mono_ae
theorem setIntegral_mono_on (hs : MeasurableSet s) (h : ∀ x ∈ s, f x ≤ g x) :
∫ x in s, f x ∂μ ≤ ∫ x in s, g x ∂μ :=
setIntegral_mono_ae_restrict hf hg
(by simp [hs, EventuallyLE, eventually_inf_principal, ae_of_all _ h])
#align measure_theory.set_integral_mono_on MeasureTheory.setIntegral_mono_on
@[deprecated (since := "2024-04-17")]
alias set_integral_mono_on := setIntegral_mono_on
theorem setIntegral_mono_on_ae (hs : MeasurableSet s) (h : ∀ᵐ x ∂μ, x ∈ s → f x ≤ g x) :
∫ x in s, f x ∂μ ≤ ∫ x in s, g x ∂μ := by
refine setIntegral_mono_ae_restrict hf hg ?_; rwa [EventuallyLE, ae_restrict_iff' hs]
#align measure_theory.set_integral_mono_on_ae MeasureTheory.setIntegral_mono_on_ae
@[deprecated (since := "2024-04-17")]
alias set_integral_mono_on_ae := setIntegral_mono_on_ae
theorem setIntegral_mono (h : f ≤ g) : ∫ x in s, f x ∂μ ≤ ∫ x in s, g x ∂μ :=
integral_mono hf hg h
#align measure_theory.set_integral_mono MeasureTheory.setIntegral_mono
@[deprecated (since := "2024-04-17")]
alias set_integral_mono := setIntegral_mono
theorem setIntegral_mono_set (hfi : IntegrableOn f t μ) (hf : 0 ≤ᵐ[μ.restrict t] f)
(hst : s ≤ᵐ[μ] t) : ∫ x in s, f x ∂μ ≤ ∫ x in t, f x ∂μ :=
integral_mono_measure (Measure.restrict_mono_ae hst) hf hfi
#align measure_theory.set_integral_mono_set MeasureTheory.setIntegral_mono_set
@[deprecated (since := "2024-04-17")]
alias set_integral_mono_set := setIntegral_mono_set
theorem setIntegral_le_integral (hfi : Integrable f μ) (hf : 0 ≤ᵐ[μ] f) :
∫ x in s, f x ∂μ ≤ ∫ x, f x ∂μ :=
integral_mono_measure (Measure.restrict_le_self) hf hfi
@[deprecated (since := "2024-04-17")]
alias set_integral_le_integral := setIntegral_le_integral
theorem setIntegral_ge_of_const_le {c : ℝ} (hs : MeasurableSet s) (hμs : μ s ≠ ∞)
(hf : ∀ x ∈ s, c ≤ f x) (hfint : IntegrableOn (fun x : X => f x) s μ) :
c * (μ s).toReal ≤ ∫ x in s, f x ∂μ := by
rw [mul_comm, ← smul_eq_mul, ← setIntegral_const c]
exact setIntegral_mono_on (integrableOn_const.2 (Or.inr hμs.lt_top)) hfint hs hf
#align measure_theory.set_integral_ge_of_const_le MeasureTheory.setIntegral_ge_of_const_le
@[deprecated (since := "2024-04-17")]
alias set_integral_ge_of_const_le := setIntegral_ge_of_const_le
end Mono
section Nonneg
variable {μ : Measure X} {f : X → ℝ} {s : Set X}
theorem setIntegral_nonneg_of_ae_restrict (hf : 0 ≤ᵐ[μ.restrict s] f) : 0 ≤ ∫ x in s, f x ∂μ :=
integral_nonneg_of_ae hf
#align measure_theory.set_integral_nonneg_of_ae_restrict MeasureTheory.setIntegral_nonneg_of_ae_restrict
@[deprecated (since := "2024-04-17")]
alias set_integral_nonneg_of_ae_restrict := setIntegral_nonneg_of_ae_restrict
theorem setIntegral_nonneg_of_ae (hf : 0 ≤ᵐ[μ] f) : 0 ≤ ∫ x in s, f x ∂μ :=
setIntegral_nonneg_of_ae_restrict (ae_restrict_of_ae hf)
#align measure_theory.set_integral_nonneg_of_ae MeasureTheory.setIntegral_nonneg_of_ae
@[deprecated (since := "2024-04-17")]
alias set_integral_nonneg_of_ae := setIntegral_nonneg_of_ae
theorem setIntegral_nonneg (hs : MeasurableSet s) (hf : ∀ x, x ∈ s → 0 ≤ f x) :
0 ≤ ∫ x in s, f x ∂μ :=
setIntegral_nonneg_of_ae_restrict ((ae_restrict_iff' hs).mpr (ae_of_all μ hf))
#align measure_theory.set_integral_nonneg MeasureTheory.setIntegral_nonneg
@[deprecated (since := "2024-04-17")]
alias set_integral_nonneg := setIntegral_nonneg
theorem setIntegral_nonneg_ae (hs : MeasurableSet s) (hf : ∀ᵐ x ∂μ, x ∈ s → 0 ≤ f x) :
0 ≤ ∫ x in s, f x ∂μ :=
setIntegral_nonneg_of_ae_restrict <| by rwa [EventuallyLE, ae_restrict_iff' hs]
#align measure_theory.set_integral_nonneg_ae MeasureTheory.setIntegral_nonneg_ae
@[deprecated (since := "2024-04-17")]
alias set_integral_nonneg_ae := setIntegral_nonneg_ae
theorem setIntegral_le_nonneg {s : Set X} (hs : MeasurableSet s) (hf : StronglyMeasurable f)
(hfi : Integrable f μ) : ∫ x in s, f x ∂μ ≤ ∫ x in {y | 0 ≤ f y}, f x ∂μ := by
rw [← integral_indicator hs, ←
integral_indicator (stronglyMeasurable_const.measurableSet_le hf)]
exact
integral_mono (hfi.indicator hs)
(hfi.indicator (stronglyMeasurable_const.measurableSet_le hf))
(indicator_le_indicator_nonneg s f)
#align measure_theory.set_integral_le_nonneg MeasureTheory.setIntegral_le_nonneg
@[deprecated (since := "2024-04-17")]
alias set_integral_le_nonneg := setIntegral_le_nonneg
theorem setIntegral_nonpos_of_ae_restrict (hf : f ≤ᵐ[μ.restrict s] 0) : ∫ x in s, f x ∂μ ≤ 0 :=
integral_nonpos_of_ae hf
#align measure_theory.set_integral_nonpos_of_ae_restrict MeasureTheory.setIntegral_nonpos_of_ae_restrict
@[deprecated (since := "2024-04-17")]
alias set_integral_nonpos_of_ae_restrict := setIntegral_nonpos_of_ae_restrict
theorem setIntegral_nonpos_of_ae (hf : f ≤ᵐ[μ] 0) : ∫ x in s, f x ∂μ ≤ 0 :=
setIntegral_nonpos_of_ae_restrict (ae_restrict_of_ae hf)
#align measure_theory.set_integral_nonpos_of_ae MeasureTheory.setIntegral_nonpos_of_ae
@[deprecated (since := "2024-04-17")]
alias set_integral_nonpos_of_ae := setIntegral_nonpos_of_ae
theorem setIntegral_nonpos_ae (hs : MeasurableSet s) (hf : ∀ᵐ x ∂μ, x ∈ s → f x ≤ 0) :
∫ x in s, f x ∂μ ≤ 0 :=
setIntegral_nonpos_of_ae_restrict <| by rwa [EventuallyLE, ae_restrict_iff' hs]
#align measure_theory.set_integral_nonpos_ae MeasureTheory.setIntegral_nonpos_ae
@[deprecated (since := "2024-04-17")]
alias set_integral_nonpos_ae := setIntegral_nonpos_ae
theorem setIntegral_nonpos (hs : MeasurableSet s) (hf : ∀ x, x ∈ s → f x ≤ 0) :
∫ x in s, f x ∂μ ≤ 0 :=
setIntegral_nonpos_ae hs <| ae_of_all μ hf
#align measure_theory.set_integral_nonpos MeasureTheory.setIntegral_nonpos
@[deprecated (since := "2024-04-17")]
alias set_integral_nonpos := setIntegral_nonpos
theorem setIntegral_nonpos_le {s : Set X} (hs : MeasurableSet s) (hf : StronglyMeasurable f)
(hfi : Integrable f μ) : ∫ x in {y | f y ≤ 0}, f x ∂μ ≤ ∫ x in s, f x ∂μ := by
rw [← integral_indicator hs, ←
integral_indicator (hf.measurableSet_le stronglyMeasurable_const)]
exact
integral_mono (hfi.indicator (hf.measurableSet_le stronglyMeasurable_const))
(hfi.indicator hs) (indicator_nonpos_le_indicator s f)
#align measure_theory.set_integral_nonpos_le MeasureTheory.setIntegral_nonpos_le
@[deprecated (since := "2024-04-17")]
alias set_integral_nonpos_le := setIntegral_nonpos_le
lemma Integrable.measure_le_integral {f : X → ℝ} (f_int : Integrable f μ) (f_nonneg : 0 ≤ᵐ[μ] f)
{s : Set X} (hs : ∀ x ∈ s, 1 ≤ f x) :
μ s ≤ ENNReal.ofReal (∫ x, f x ∂μ) := by
rw [ofReal_integral_eq_lintegral_ofReal f_int f_nonneg]
apply meas_le_lintegral₀
· exact ENNReal.continuous_ofReal.measurable.comp_aemeasurable f_int.1.aemeasurable
· intro x hx
simpa using ENNReal.ofReal_le_ofReal (hs x hx)
lemma integral_le_measure {f : X → ℝ} {s : Set X}
(hs : ∀ x ∈ s, f x ≤ 1) (h's : ∀ x ∈ sᶜ, f x ≤ 0) :
ENNReal.ofReal (∫ x, f x ∂μ) ≤ μ s := by
by_cases H : Integrable f μ; swap
· simp [integral_undef H]
let g x := max (f x) 0
have g_int : Integrable g μ := H.pos_part
have : ENNReal.ofReal (∫ x, f x ∂μ) ≤ ENNReal.ofReal (∫ x, g x ∂μ) := by
apply ENNReal.ofReal_le_ofReal
exact integral_mono H g_int (fun x ↦ le_max_left _ _)
apply this.trans
rw [ofReal_integral_eq_lintegral_ofReal g_int (eventually_of_forall (fun x ↦ le_max_right _ _))]
apply lintegral_le_meas
· intro x
apply ENNReal.ofReal_le_of_le_toReal
by_cases H : x ∈ s
· simpa [g] using hs x H
· apply le_trans _ zero_le_one
simpa [g] using h's x H
· intro x hx
simpa [g] using h's x hx
end Nonneg
section IntegrableUnion
variable {ι : Type*} [Countable ι] {μ : Measure X} [NormedAddCommGroup E]
theorem integrableOn_iUnion_of_summable_integral_norm {f : X → E} {s : ι → Set X}
(hs : ∀ i : ι, MeasurableSet (s i)) (hi : ∀ i : ι, IntegrableOn f (s i) μ)
(h : Summable fun i : ι => ∫ x : X in s i, ‖f x‖ ∂μ) : IntegrableOn f (iUnion s) μ := by
refine ⟨AEStronglyMeasurable.iUnion fun i => (hi i).1, (lintegral_iUnion_le _ _).trans_lt ?_⟩
have B := fun i => lintegral_coe_eq_integral (fun x : X => ‖f x‖₊) (hi i).norm
rw [tsum_congr B]
have S' :
Summable fun i : ι =>
(⟨∫ x : X in s i, ‖f x‖₊ ∂μ, setIntegral_nonneg (hs i) fun x _ => NNReal.coe_nonneg _⟩ :
NNReal) := by
rw [← NNReal.summable_coe]; exact h
have S'' := ENNReal.tsum_coe_eq S'.hasSum
simp_rw [ENNReal.coe_nnreal_eq, NNReal.coe_mk, coe_nnnorm] at S''
convert ENNReal.ofReal_lt_top
#align measure_theory.integrable_on_Union_of_summable_integral_norm MeasureTheory.integrableOn_iUnion_of_summable_integral_norm
variable [TopologicalSpace X] [BorelSpace X] [MetrizableSpace X] [IsLocallyFiniteMeasure μ]
/-- If `s` is a countable family of compact sets, `f` is a continuous function, and the sequence
`‖f.restrict (s i)‖ * μ (s i)` is summable, then `f` is integrable on the union of the `s i`. -/
theorem integrableOn_iUnion_of_summable_norm_restrict {f : C(X, E)} {s : ι → Compacts X}
(hf : Summable fun i : ι => ‖f.restrict (s i)‖ * ENNReal.toReal (μ <| s i)) :
IntegrableOn f (⋃ i : ι, s i) μ := by
refine
integrableOn_iUnion_of_summable_integral_norm (fun i => (s i).isCompact.isClosed.measurableSet)
(fun i => (map_continuous f).continuousOn.integrableOn_compact (s i).isCompact)
(.of_nonneg_of_le (fun ι => integral_nonneg fun x => norm_nonneg _) (fun i => ?_) hf)
rw [← (Real.norm_of_nonneg (integral_nonneg fun x => norm_nonneg _) : ‖_‖ = ∫ x in s i, ‖f x‖ ∂μ)]
exact
norm_setIntegral_le_of_norm_le_const' (s i).isCompact.measure_lt_top
(s i).isCompact.isClosed.measurableSet fun x hx =>
(norm_norm (f x)).symm ▸ (f.restrict (s i : Set X)).norm_coe_le_norm ⟨x, hx⟩
#align measure_theory.integrable_on_Union_of_summable_norm_restrict MeasureTheory.integrableOn_iUnion_of_summable_norm_restrict
/-- If `s` is a countable family of compact sets covering `X`, `f` is a continuous function, and
the sequence `‖f.restrict (s i)‖ * μ (s i)` is summable, then `f` is integrable. -/
theorem integrable_of_summable_norm_restrict {f : C(X, E)} {s : ι → Compacts X}
(hf : Summable fun i : ι => ‖f.restrict (s i)‖ * ENNReal.toReal (μ <| s i))
(hs : ⋃ i : ι, ↑(s i) = (univ : Set X)) : Integrable f μ := by
simpa only [hs, integrableOn_univ] using integrableOn_iUnion_of_summable_norm_restrict hf
#align measure_theory.integrable_of_summable_norm_restrict MeasureTheory.integrable_of_summable_norm_restrict
end IntegrableUnion
/-! ### Continuity of the set integral
We prove that for any set `s`, the function
`fun f : X →₁[μ] E => ∫ x in s, f x ∂μ` is continuous. -/
section ContinuousSetIntegral
variable [NormedAddCommGroup E]
{𝕜 : Type*} [NormedField 𝕜] [NormedAddCommGroup F] [NormedSpace 𝕜 F] {p : ℝ≥0∞} {μ : Measure X}
/-- For `f : Lp E p μ`, we can define an element of `Lp E p (μ.restrict s)` by
`(Lp.memℒp f).restrict s).toLp f`. This map is additive. -/
theorem Lp_toLp_restrict_add (f g : Lp E p μ) (s : Set X) :
((Lp.memℒp (f + g)).restrict s).toLp (⇑(f + g)) =
((Lp.memℒp f).restrict s).toLp f + ((Lp.memℒp g).restrict s).toLp g := by
ext1
refine (ae_restrict_of_ae (Lp.coeFn_add f g)).mp ?_
refine
(Lp.coeFn_add (Memℒp.toLp f ((Lp.memℒp f).restrict s))
(Memℒp.toLp g ((Lp.memℒp g).restrict s))).mp ?_
refine (Memℒp.coeFn_toLp ((Lp.memℒp f).restrict s)).mp ?_
refine (Memℒp.coeFn_toLp ((Lp.memℒp g).restrict s)).mp ?_
refine (Memℒp.coeFn_toLp ((Lp.memℒp (f + g)).restrict s)).mono fun x hx1 hx2 hx3 hx4 hx5 => ?_
rw [hx4, hx1, Pi.add_apply, hx2, hx3, hx5, Pi.add_apply]
set_option linter.uppercaseLean3 false in
#align measure_theory.Lp_to_Lp_restrict_add MeasureTheory.Lp_toLp_restrict_add
/-- For `f : Lp E p μ`, we can define an element of `Lp E p (μ.restrict s)` by
`(Lp.memℒp f).restrict s).toLp f`. This map commutes with scalar multiplication. -/
theorem Lp_toLp_restrict_smul (c : 𝕜) (f : Lp F p μ) (s : Set X) :
((Lp.memℒp (c • f)).restrict s).toLp (⇑(c • f)) = c • ((Lp.memℒp f).restrict s).toLp f := by
ext1
refine (ae_restrict_of_ae (Lp.coeFn_smul c f)).mp ?_
refine (Memℒp.coeFn_toLp ((Lp.memℒp f).restrict s)).mp ?_
refine (Memℒp.coeFn_toLp ((Lp.memℒp (c • f)).restrict s)).mp ?_
refine
(Lp.coeFn_smul c (Memℒp.toLp f ((Lp.memℒp f).restrict s))).mono fun x hx1 hx2 hx3 hx4 => ?_
simp only [hx2, hx1, hx3, hx4, Pi.smul_apply]
set_option linter.uppercaseLean3 false in
#align measure_theory.Lp_to_Lp_restrict_smul MeasureTheory.Lp_toLp_restrict_smul
/-- For `f : Lp E p μ`, we can define an element of `Lp E p (μ.restrict s)` by
`(Lp.memℒp f).restrict s).toLp f`. This map is non-expansive. -/
theorem norm_Lp_toLp_restrict_le (s : Set X) (f : Lp E p μ) :
‖((Lp.memℒp f).restrict s).toLp f‖ ≤ ‖f‖ := by
rw [Lp.norm_def, Lp.norm_def, ENNReal.toReal_le_toReal (Lp.snorm_ne_top _) (Lp.snorm_ne_top _)]
apply (le_of_eq _).trans (snorm_mono_measure _ (Measure.restrict_le_self (s := s)))
exact snorm_congr_ae (Memℒp.coeFn_toLp _)
set_option linter.uppercaseLean3 false in
#align measure_theory.norm_Lp_to_Lp_restrict_le MeasureTheory.norm_Lp_toLp_restrict_le
variable (X F 𝕜) in
/-- Continuous linear map sending a function of `Lp F p μ` to the same function in
`Lp F p (μ.restrict s)`. -/
def LpToLpRestrictCLM (μ : Measure X) (p : ℝ≥0∞) [hp : Fact (1 ≤ p)] (s : Set X) :
Lp F p μ →L[𝕜] Lp F p (μ.restrict s) :=
@LinearMap.mkContinuous 𝕜 𝕜 (Lp F p μ) (Lp F p (μ.restrict s)) _ _ _ _ _ _ (RingHom.id 𝕜)
⟨⟨fun f => Memℒp.toLp f ((Lp.memℒp f).restrict s), fun f g => Lp_toLp_restrict_add f g s⟩,
fun c f => Lp_toLp_restrict_smul c f s⟩
1 (by intro f; rw [one_mul]; exact norm_Lp_toLp_restrict_le s f)
set_option linter.uppercaseLean3 false in
#align measure_theory.Lp_to_Lp_restrict_clm MeasureTheory.LpToLpRestrictCLM
variable (𝕜) in
theorem LpToLpRestrictCLM_coeFn [Fact (1 ≤ p)] (s : Set X) (f : Lp F p μ) :
LpToLpRestrictCLM X F 𝕜 μ p s f =ᵐ[μ.restrict s] f :=
Memℒp.coeFn_toLp ((Lp.memℒp f).restrict s)
set_option linter.uppercaseLean3 false in
#align measure_theory.Lp_to_Lp_restrict_clm_coe_fn MeasureTheory.LpToLpRestrictCLM_coeFn
@[continuity]
theorem continuous_setIntegral [NormedSpace ℝ E] (s : Set X) :
Continuous fun f : X →₁[μ] E => ∫ x in s, f x ∂μ := by
haveI : Fact ((1 : ℝ≥0∞) ≤ 1) := ⟨le_rfl⟩
have h_comp :
(fun f : X →₁[μ] E => ∫ x in s, f x ∂μ) =
integral (μ.restrict s) ∘ fun f => LpToLpRestrictCLM X E ℝ μ 1 s f := by
ext1 f
rw [Function.comp_apply, integral_congr_ae (LpToLpRestrictCLM_coeFn ℝ s f)]
rw [h_comp]
exact continuous_integral.comp (LpToLpRestrictCLM X E ℝ μ 1 s).continuous
#align measure_theory.continuous_set_integral MeasureTheory.continuous_setIntegral
@[deprecated (since := "2024-04-17")]
alias continuous_set_integral := continuous_setIntegral
end ContinuousSetIntegral
end MeasureTheory
section OpenPos
open Measure
variable [TopologicalSpace X] [OpensMeasurableSpace X] {μ : Measure X} [IsOpenPosMeasure μ]
theorem Continuous.integral_pos_of_hasCompactSupport_nonneg_nonzero [IsFiniteMeasureOnCompacts μ]
{f : X → ℝ} {x : X} (f_cont : Continuous f) (f_comp : HasCompactSupport f) (f_nonneg : 0 ≤ f)
(f_x : f x ≠ 0) : 0 < ∫ x, f x ∂μ :=
integral_pos_of_integrable_nonneg_nonzero f_cont (f_cont.integrable_of_hasCompactSupport f_comp)
f_nonneg f_x
end OpenPos
/-! Fundamental theorem of calculus for set integrals -/
section FTC
open MeasureTheory Asymptotics Metric
variable {ι : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] [CompleteSpace E]
/-- Fundamental theorem of calculus for set integrals:
if `μ` is a measure that is finite at a filter `l` and
`f` is a measurable function that has a finite limit `b` at `l ⊓ ae μ`, then
`∫ x in s i, f x ∂μ = μ (s i) • b + o(μ (s i))` at a filter `li` provided that
`s i` tends to `l.smallSets` along `li`.
Since `μ (s i)` is an `ℝ≥0∞` number, we use `(μ (s i)).toReal` in the actual statement.
Often there is a good formula for `(μ (s i)).toReal`, so the formalization can take an optional
argument `m` with this formula and a proof of `(fun i => (μ (s i)).toReal) =ᶠ[li] m`. Without these
arguments, `m i = (μ (s i)).toReal` is used in the output. -/
theorem Filter.Tendsto.integral_sub_linear_isLittleO_ae
{μ : Measure X} {l : Filter X} [l.IsMeasurablyGenerated] {f : X → E} {b : E}
(h : Tendsto f (l ⊓ ae μ) (𝓝 b)) (hfm : StronglyMeasurableAtFilter f l μ)
(hμ : μ.FiniteAtFilter l) {s : ι → Set X} {li : Filter ι} (hs : Tendsto s li l.smallSets)
(m : ι → ℝ := fun i => (μ (s i)).toReal)
(hsμ : (fun i => (μ (s i)).toReal) =ᶠ[li] m := by rfl) :
(fun i => (∫ x in s i, f x ∂μ) - m i • b) =o[li] m := by
suffices
(fun s => (∫ x in s, f x ∂μ) - (μ s).toReal • b) =o[l.smallSets] fun s => (μ s).toReal from
(this.comp_tendsto hs).congr'
(hsμ.mono fun a ha => by dsimp only [Function.comp_apply] at ha ⊢; rw [ha]) hsμ
refine isLittleO_iff.2 fun ε ε₀ => ?_
have : ∀ᶠ s in l.smallSets, ∀ᵐ x ∂μ, x ∈ s → f x ∈ closedBall b ε :=
eventually_smallSets_eventually.2 (h.eventually <| closedBall_mem_nhds _ ε₀)
filter_upwards [hμ.eventually, (hμ.integrableAtFilter_of_tendsto_ae hfm h).eventually,
hfm.eventually, this]
simp only [mem_closedBall, dist_eq_norm]
intro s hμs h_integrable hfm h_norm
rw [← setIntegral_const, ← integral_sub h_integrable (integrableOn_const.2 <| Or.inr hμs),
Real.norm_eq_abs, abs_of_nonneg ENNReal.toReal_nonneg]
exact norm_setIntegral_le_of_norm_le_const_ae' hμs h_norm (hfm.sub aestronglyMeasurable_const)
#align filter.tendsto.integral_sub_linear_is_o_ae Filter.Tendsto.integral_sub_linear_isLittleO_ae
/-- Fundamental theorem of calculus for set integrals, `nhdsWithin` version: if `μ` is a locally
finite measure and `f` is an almost everywhere measurable function that is continuous at a point `a`
within a measurable set `t`, then `∫ x in s i, f x ∂μ = μ (s i) • f a + o(μ (s i))` at a filter `li`
provided that `s i` tends to `(𝓝[t] a).smallSets` along `li`. Since `μ (s i)` is an `ℝ≥0∞`
number, we use `(μ (s i)).toReal` in the actual statement.
Often there is a good formula for `(μ (s i)).toReal`, so the formalization can take an optional
argument `m` with this formula and a proof of `(fun i => (μ (s i)).toReal) =ᶠ[li] m`. Without these
arguments, `m i = (μ (s i)).toReal` is used in the output. -/
theorem ContinuousWithinAt.integral_sub_linear_isLittleO_ae [TopologicalSpace X]
[OpensMeasurableSpace X] {μ : Measure X}
[IsLocallyFiniteMeasure μ] {x : X} {t : Set X} {f : X → E} (hx : ContinuousWithinAt f t x)
(ht : MeasurableSet t) (hfm : StronglyMeasurableAtFilter f (𝓝[t] x) μ) {s : ι → Set X}
{li : Filter ι} (hs : Tendsto s li (𝓝[t] x).smallSets) (m : ι → ℝ := fun i => (μ (s i)).toReal)
(hsμ : (fun i => (μ (s i)).toReal) =ᶠ[li] m := by rfl) :
(fun i => (∫ x in s i, f x ∂μ) - m i • f x) =o[li] m :=
haveI : (𝓝[t] x).IsMeasurablyGenerated := ht.nhdsWithin_isMeasurablyGenerated _
(hx.mono_left inf_le_left).integral_sub_linear_isLittleO_ae hfm (μ.finiteAt_nhdsWithin x t) hs m
hsμ
#align continuous_within_at.integral_sub_linear_is_o_ae ContinuousWithinAt.integral_sub_linear_isLittleO_ae
/-- Fundamental theorem of calculus for set integrals, `nhds` version: if `μ` is a locally finite
measure and `f` is an almost everywhere measurable function that is continuous at a point `a`, then
`∫ x in s i, f x ∂μ = μ (s i) • f a + o(μ (s i))` at `li` provided that `s` tends to
`(𝓝 a).smallSets` along `li`. Since `μ (s i)` is an `ℝ≥0∞` number, we use `(μ (s i)).toReal` in
the actual statement.
Often there is a good formula for `(μ (s i)).toReal`, so the formalization can take an optional
argument `m` with this formula and a proof of `(fun i => (μ (s i)).toReal) =ᶠ[li] m`. Without these
arguments, `m i = (μ (s i)).toReal` is used in the output. -/
theorem ContinuousAt.integral_sub_linear_isLittleO_ae [TopologicalSpace X] [OpensMeasurableSpace X]
{μ : Measure X} [IsLocallyFiniteMeasure μ] {x : X}
{f : X → E} (hx : ContinuousAt f x) (hfm : StronglyMeasurableAtFilter f (𝓝 x) μ) {s : ι → Set X}
{li : Filter ι} (hs : Tendsto s li (𝓝 x).smallSets) (m : ι → ℝ := fun i => (μ (s i)).toReal)
(hsμ : (fun i => (μ (s i)).toReal) =ᶠ[li] m := by rfl) :
(fun i => (∫ x in s i, f x ∂μ) - m i • f x) =o[li] m :=
(hx.mono_left inf_le_left).integral_sub_linear_isLittleO_ae hfm (μ.finiteAt_nhds x) hs m hsμ
#align continuous_at.integral_sub_linear_is_o_ae ContinuousAt.integral_sub_linear_isLittleO_ae
/-- Fundamental theorem of calculus for set integrals, `nhdsWithin` version: if `μ` is a locally
finite measure, `f` is continuous on a measurable set `t`, and `a ∈ t`, then `∫ x in (s i), f x ∂μ =
μ (s i) • f a + o(μ (s i))` at `li` provided that `s i` tends to `(𝓝[t] a).smallSets` along `li`.
Since `μ (s i)` is an `ℝ≥0∞` number, we use `(μ (s i)).toReal` in the actual statement.
Often there is a good formula for `(μ (s i)).toReal`, so the formalization can take an optional
argument `m` with this formula and a proof of `(fun i => (μ (s i)).toReal) =ᶠ[li] m`. Without these
arguments, `m i = (μ (s i)).toReal` is used in the output. -/
theorem ContinuousOn.integral_sub_linear_isLittleO_ae [TopologicalSpace X] [OpensMeasurableSpace X]
[SecondCountableTopologyEither X E] {μ : Measure X}
[IsLocallyFiniteMeasure μ] {x : X} {t : Set X} {f : X → E} (hft : ContinuousOn f t) (hx : x ∈ t)
(ht : MeasurableSet t) {s : ι → Set X} {li : Filter ι} (hs : Tendsto s li (𝓝[t] x).smallSets)
(m : ι → ℝ := fun i => (μ (s i)).toReal)
(hsμ : (fun i => (μ (s i)).toReal) =ᶠ[li] m := by rfl) :
(fun i => (∫ x in s i, f x ∂μ) - m i • f x) =o[li] m :=
(hft x hx).integral_sub_linear_isLittleO_ae ht
⟨t, self_mem_nhdsWithin, hft.aestronglyMeasurable ht⟩ hs m hsμ
#align continuous_on.integral_sub_linear_is_o_ae ContinuousOn.integral_sub_linear_isLittleO_ae
end FTC
section
/-! ### Continuous linear maps composed with integration
The goal of this section is to prove that integration commutes with continuous linear maps.
This holds for simple functions. The general result follows from the continuity of all involved
operations on the space `L¹`. Note that composition by a continuous linear map on `L¹` is not just
the composition, as we are dealing with classes of functions, but it has already been defined
as `ContinuousLinearMap.compLp`. We take advantage of this construction here.
-/
open scoped ComplexConjugate
variable {μ : Measure X} {𝕜 : Type*} [RCLike 𝕜] [NormedAddCommGroup E] [NormedSpace 𝕜 E]
[NormedAddCommGroup F] [NormedSpace 𝕜 F] {p : ENNReal}
namespace ContinuousLinearMap
variable [NormedSpace ℝ F]
theorem integral_compLp (L : E →L[𝕜] F) (φ : Lp E p μ) :
∫ x, (L.compLp φ) x ∂μ = ∫ x, L (φ x) ∂μ :=
integral_congr_ae <| coeFn_compLp _ _
set_option linter.uppercaseLean3 false in
#align continuous_linear_map.integral_comp_Lp ContinuousLinearMap.integral_compLp
theorem setIntegral_compLp (L : E →L[𝕜] F) (φ : Lp E p μ) {s : Set X} (hs : MeasurableSet s) :
∫ x in s, (L.compLp φ) x ∂μ = ∫ x in s, L (φ x) ∂μ :=
setIntegral_congr_ae hs ((L.coeFn_compLp φ).mono fun _x hx _ => hx)
set_option linter.uppercaseLean3 false in
#align continuous_linear_map.set_integral_comp_Lp ContinuousLinearMap.setIntegral_compLp
@[deprecated (since := "2024-04-17")]
alias set_integral_compLp := setIntegral_compLp
theorem continuous_integral_comp_L1 (L : E →L[𝕜] F) :
Continuous fun φ : X →₁[μ] E => ∫ x : X, L (φ x) ∂μ := by
rw [← funext L.integral_compLp]; exact continuous_integral.comp (L.compLpL 1 μ).continuous
set_option linter.uppercaseLean3 false in
#align continuous_linear_map.continuous_integral_comp_L1 ContinuousLinearMap.continuous_integral_comp_L1
variable [CompleteSpace F] [NormedSpace ℝ E]
theorem integral_comp_comm [CompleteSpace E] (L : E →L[𝕜] F) {φ : X → E} (φ_int : Integrable φ μ) :
∫ x, L (φ x) ∂μ = L (∫ x, φ x ∂μ) := by
apply φ_int.induction (P := fun φ => ∫ x, L (φ x) ∂μ = L (∫ x, φ x ∂μ))
· intro e s s_meas _
rw [integral_indicator_const e s_meas, ← @smul_one_smul E ℝ 𝕜 _ _ _ _ _ (μ s).toReal e,
ContinuousLinearMap.map_smul, @smul_one_smul F ℝ 𝕜 _ _ _ _ _ (μ s).toReal (L e), ←
integral_indicator_const (L e) s_meas]
congr 1 with a
rw [← Function.comp_def L, Set.indicator_comp_of_zero L.map_zero, Function.comp_apply]
· intro f g _ f_int g_int hf hg
simp [L.map_add, integral_add (μ := μ) f_int g_int,
integral_add (μ := μ) (L.integrable_comp f_int) (L.integrable_comp g_int), hf, hg]
· exact isClosed_eq L.continuous_integral_comp_L1 (L.continuous.comp continuous_integral)
· intro f g hfg _ hf
convert hf using 1 <;> clear hf
· exact integral_congr_ae (hfg.fun_comp L).symm
· rw [integral_congr_ae hfg.symm]
#align continuous_linear_map.integral_comp_comm ContinuousLinearMap.integral_comp_comm
theorem integral_apply {H : Type*} [NormedAddCommGroup H] [NormedSpace 𝕜 H] {φ : X → H →L[𝕜] E}
(φ_int : Integrable φ μ) (v : H) : (∫ x, φ x ∂μ) v = ∫ x, φ x v ∂μ := by
by_cases hE : CompleteSpace E
· exact ((ContinuousLinearMap.apply 𝕜 E v).integral_comp_comm φ_int).symm
· rcases subsingleton_or_nontrivial H with hH|hH
· simp [Subsingleton.eq_zero v]
· have : ¬(CompleteSpace (H →L[𝕜] E)) := by
rwa [SeparatingDual.completeSpace_continuousLinearMap_iff]
simp [integral, hE, this]
#align continuous_linear_map.integral_apply ContinuousLinearMap.integral_apply
theorem _root_.ContinuousMultilinearMap.integral_apply {ι : Type*} [Fintype ι] {M : ι → Type*}
[∀ i, NormedAddCommGroup (M i)] [∀ i, NormedSpace 𝕜 (M i)]
{φ : X → ContinuousMultilinearMap 𝕜 M E} (φ_int : Integrable φ μ) (m : ∀ i, M i) :
(∫ x, φ x ∂μ) m = ∫ x, φ x m ∂μ := by
by_cases hE : CompleteSpace E
· exact ((ContinuousMultilinearMap.apply 𝕜 M E m).integral_comp_comm φ_int).symm
· by_cases hm : ∀ i, m i ≠ 0
· have : ¬ CompleteSpace (ContinuousMultilinearMap 𝕜 M E) := by
rwa [SeparatingDual.completeSpace_continuousMultilinearMap_iff _ _ hm]
simp [integral, hE, this]
· push_neg at hm
rcases hm with ⟨i, hi⟩
simp [ContinuousMultilinearMap.map_coord_zero _ i hi]
variable [CompleteSpace E]
theorem integral_comp_comm' (L : E →L[𝕜] F) {K} (hL : AntilipschitzWith K L) (φ : X → E) :
∫ x, L (φ x) ∂μ = L (∫ x, φ x ∂μ) := by
by_cases h : Integrable φ μ
· exact integral_comp_comm L h
have : ¬Integrable (fun x => L (φ x)) μ := by
rwa [← Function.comp_def,
LipschitzWith.integrable_comp_iff_of_antilipschitz L.lipschitz hL L.map_zero]
simp [integral_undef, h, this]
#align continuous_linear_map.integral_comp_comm' ContinuousLinearMap.integral_comp_comm'
theorem integral_comp_L1_comm (L : E →L[𝕜] F) (φ : X →₁[μ] E) :
∫ x, L (φ x) ∂μ = L (∫ x, φ x ∂μ) :=
L.integral_comp_comm (L1.integrable_coeFn φ)
set_option linter.uppercaseLean3 false in
#align continuous_linear_map.integral_comp_L1_comm ContinuousLinearMap.integral_comp_L1_comm
end ContinuousLinearMap
namespace LinearIsometry
variable [CompleteSpace F] [NormedSpace ℝ F] [CompleteSpace E] [NormedSpace ℝ E]
theorem integral_comp_comm (L : E →ₗᵢ[𝕜] F) (φ : X → E) : ∫ x, L (φ x) ∂μ = L (∫ x, φ x ∂μ) :=
L.toContinuousLinearMap.integral_comp_comm' L.antilipschitz _
#align linear_isometry.integral_comp_comm LinearIsometry.integral_comp_comm
end LinearIsometry
namespace ContinuousLinearEquiv
variable [NormedSpace ℝ F] [NormedSpace ℝ E]
theorem integral_comp_comm (L : E ≃L[𝕜] F) (φ : X → E) : ∫ x, L (φ x) ∂μ = L (∫ x, φ x ∂μ) := by
have : CompleteSpace E ↔ CompleteSpace F :=
completeSpace_congr (e := L.toEquiv) L.uniformEmbedding
obtain ⟨_, _⟩|⟨_, _⟩ := iff_iff_and_or_not_and_not.mp this
· exact L.toContinuousLinearMap.integral_comp_comm' L.antilipschitz _
· simp [integral, *]
#align continuous_linear_equiv.integral_comp_comm ContinuousLinearEquiv.integral_comp_comm
end ContinuousLinearEquiv
@[norm_cast]
theorem integral_ofReal {f : X → ℝ} : ∫ x, (f x : 𝕜) ∂μ = ↑(∫ x, f x ∂μ) :=
(@RCLike.ofRealLI 𝕜 _).integral_comp_comm f
#align integral_of_real integral_ofReal
theorem integral_re {f : X → 𝕜} (hf : Integrable f μ) :
∫ x, RCLike.re (f x) ∂μ = RCLike.re (∫ x, f x ∂μ) :=
(@RCLike.reCLM 𝕜 _).integral_comp_comm hf
#align integral_re integral_re
theorem integral_im {f : X → 𝕜} (hf : Integrable f μ) :
∫ x, RCLike.im (f x) ∂μ = RCLike.im (∫ x, f x ∂μ) :=
(@RCLike.imCLM 𝕜 _).integral_comp_comm hf
#align integral_im integral_im
theorem integral_conj {f : X → 𝕜} : ∫ x, conj (f x) ∂μ = conj (∫ x, f x ∂μ) :=
(@RCLike.conjLIE 𝕜 _).toLinearIsometry.integral_comp_comm f
#align integral_conj integral_conj
theorem integral_coe_re_add_coe_im {f : X → 𝕜} (hf : Integrable f μ) :
∫ x, (re (f x) : 𝕜) ∂μ + (∫ x, (im (f x) : 𝕜) ∂μ) * RCLike.I = ∫ x, f x ∂μ := by
rw [mul_comm, ← smul_eq_mul, ← integral_smul, ← integral_add]
· congr
ext1 x
rw [smul_eq_mul, mul_comm, RCLike.re_add_im]
· exact hf.re.ofReal
· exact hf.im.ofReal.smul (𝕜 := 𝕜) (β := 𝕜) RCLike.I
#align integral_coe_re_add_coe_im integral_coe_re_add_coe_im
theorem integral_re_add_im {f : X → 𝕜} (hf : Integrable f μ) :
((∫ x, RCLike.re (f x) ∂μ : ℝ) : 𝕜) + (∫ x, RCLike.im (f x) ∂μ : ℝ) * RCLike.I =
∫ x, f x ∂μ := by
rw [← integral_ofReal, ← integral_ofReal, integral_coe_re_add_coe_im hf]
#align integral_re_add_im integral_re_add_im
theorem setIntegral_re_add_im {f : X → 𝕜} {i : Set X} (hf : IntegrableOn f i μ) :
((∫ x in i, RCLike.re (f x) ∂μ : ℝ) : 𝕜) + (∫ x in i, RCLike.im (f x) ∂μ : ℝ) * RCLike.I =
∫ x in i, f x ∂μ :=
integral_re_add_im hf
#align set_integral_re_add_im setIntegral_re_add_im
@[deprecated (since := "2024-04-17")]
alias set_integral_re_add_im := setIntegral_re_add_im
variable [NormedSpace ℝ E] [NormedSpace ℝ F]
lemma swap_integral (f : X → E × F) : (∫ x, f x ∂μ).swap = ∫ x, (f x).swap ∂μ :=
.symm <| (ContinuousLinearEquiv.prodComm ℝ E F).integral_comp_comm f
theorem fst_integral [CompleteSpace F] {f : X → E × F} (hf : Integrable f μ) :
(∫ x, f x ∂μ).1 = ∫ x, (f x).1 ∂μ := by
by_cases hE : CompleteSpace E
· exact ((ContinuousLinearMap.fst ℝ E F).integral_comp_comm hf).symm
· have : ¬(CompleteSpace (E × F)) := fun h ↦ hE <| .fst_of_prod (β := F)
simp [integral, *]
#align fst_integral fst_integral
theorem snd_integral [CompleteSpace E] {f : X → E × F} (hf : Integrable f μ) :
(∫ x, f x ∂μ).2 = ∫ x, (f x).2 ∂μ := by
rw [← Prod.fst_swap, swap_integral]
exact fst_integral <| hf.snd.prod_mk hf.fst
#align snd_integral snd_integral
theorem integral_pair [CompleteSpace E] [CompleteSpace F] {f : X → E} {g : X → F}
(hf : Integrable f μ) (hg : Integrable g μ) :
∫ x, (f x, g x) ∂μ = (∫ x, f x ∂μ, ∫ x, g x ∂μ) :=
have := hf.prod_mk hg
Prod.ext (fst_integral this) (snd_integral this)
#align integral_pair integral_pair
theorem integral_smul_const {𝕜 : Type*} [RCLike 𝕜] [NormedSpace 𝕜 E] [CompleteSpace E]
(f : X → 𝕜) (c : E) :
∫ x, f x • c ∂μ = (∫ x, f x ∂μ) • c := by
by_cases hf : Integrable f μ
· exact ((1 : 𝕜 →L[𝕜] 𝕜).smulRight c).integral_comp_comm hf
· by_cases hc : c = 0
· simp [hc, integral_zero, smul_zero]
rw [integral_undef hf, integral_undef, zero_smul]
rw [integrable_smul_const hc]
simp_rw [hf, not_false_eq_true]
#align integral_smul_const integral_smul_const
| Mathlib/MeasureTheory/Integral/SetIntegral.lean | 1,465 | 1,510 | theorem integral_withDensity_eq_integral_smul {f : X → ℝ≥0} (f_meas : Measurable f) (g : X → E) :
∫ x, g x ∂μ.withDensity (fun x => f x) = ∫ x, f x • g x ∂μ := by |
by_cases hE : CompleteSpace E; swap; · simp [integral, hE]
by_cases hg : Integrable g (μ.withDensity fun x => f x); swap
· rw [integral_undef hg, integral_undef]
rwa [← integrable_withDensity_iff_integrable_smul f_meas]
refine Integrable.induction
(P := fun g => ∫ x, g x ∂μ.withDensity (fun x => f x) = ∫ x, f x • g x ∂μ) ?_ ?_ ?_ ?_ hg
· intro c s s_meas hs
rw [integral_indicator s_meas]
simp_rw [← indicator_smul_apply, integral_indicator s_meas]
simp only [s_meas, integral_const, Measure.restrict_apply', univ_inter, withDensity_apply]
rw [lintegral_coe_eq_integral, ENNReal.toReal_ofReal, ← integral_smul_const]
· rfl
· exact integral_nonneg fun x => NNReal.coe_nonneg _
· refine ⟨f_meas.coe_nnreal_real.aemeasurable.aestronglyMeasurable, ?_⟩
rw [withDensity_apply _ s_meas] at hs
rw [HasFiniteIntegral]
convert hs with x
simp only [NNReal.nnnorm_eq]
· intro u u' _ u_int u'_int h h'
change
(∫ x : X, u x + u' x ∂μ.withDensity fun x : X => ↑(f x)) = ∫ x : X, f x • (u x + u' x) ∂μ
simp_rw [smul_add]
rw [integral_add u_int u'_int, h, h', integral_add]
· exact (integrable_withDensity_iff_integrable_smul f_meas).1 u_int
· exact (integrable_withDensity_iff_integrable_smul f_meas).1 u'_int
· have C1 :
Continuous fun u : Lp E 1 (μ.withDensity fun x => f x) =>
∫ x, u x ∂μ.withDensity fun x => f x :=
continuous_integral
have C2 : Continuous fun u : Lp E 1 (μ.withDensity fun x => f x) => ∫ x, f x • u x ∂μ := by
have : Continuous ((fun u : Lp E 1 μ => ∫ x, u x ∂μ) ∘ withDensitySMulLI (E := E) μ f_meas) :=
continuous_integral.comp (withDensitySMulLI (E := E) μ f_meas).continuous
convert this with u
simp only [Function.comp_apply, withDensitySMulLI_apply]
exact integral_congr_ae (memℒ1_smul_of_L1_withDensity f_meas u).coeFn_toLp.symm
exact isClosed_eq C1 C2
· intro u v huv _ hu
rw [← integral_congr_ae huv, hu]
apply integral_congr_ae
filter_upwards [(ae_withDensity_iff f_meas.coe_nnreal_ennreal).1 huv] with x hx
rcases eq_or_ne (f x) 0 with (h'x | h'x)
· simp only [h'x, zero_smul]
· rw [hx _]
simpa only [Ne, ENNReal.coe_eq_zero] using h'x
|
/-
Copyright (c) 2020 Floris van Doorn. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Floris van Doorn
-/
import Mathlib.MeasureTheory.Measure.GiryMonad
import Mathlib.Dynamics.Ergodic.MeasurePreserving
import Mathlib.MeasureTheory.Integral.Lebesgue
import Mathlib.MeasureTheory.Measure.OpenPos
#align_import measure_theory.constructions.prod.basic from "leanprover-community/mathlib"@"00abe0695d8767201e6d008afa22393978bb324d"
/-!
# The product measure
In this file we define and prove properties about the binary product measure. If `α` and `β` have
s-finite measures `μ` resp. `ν` then `α × β` can be equipped with a s-finite measure `μ.prod ν` that
satisfies `(μ.prod ν) s = ∫⁻ x, ν {y | (x, y) ∈ s} ∂μ`.
We also have `(μ.prod ν) (s ×ˢ t) = μ s * ν t`, i.e. the measure of a rectangle is the product of
the measures of the sides.
We also prove Tonelli's theorem.
## Main definition
* `MeasureTheory.Measure.prod`: The product of two measures.
## Main results
* `MeasureTheory.Measure.prod_apply` states `μ.prod ν s = ∫⁻ x, ν {y | (x, y) ∈ s} ∂μ`
for measurable `s`. `MeasureTheory.Measure.prod_apply_symm` is the reversed version.
* `MeasureTheory.Measure.prod_prod` states `μ.prod ν (s ×ˢ t) = μ s * ν t` for measurable sets
`s` and `t`.
* `MeasureTheory.lintegral_prod`: Tonelli's theorem. It states that for a measurable function
`α × β → ℝ≥0∞` we have `∫⁻ z, f z ∂(μ.prod ν) = ∫⁻ x, ∫⁻ y, f (x, y) ∂ν ∂μ`. The version
for functions `α → β → ℝ≥0∞` is reversed, and called `lintegral_lintegral`. Both versions have
a variant with `_symm` appended, where the order of integration is reversed.
The lemma `Measurable.lintegral_prod_right'` states that the inner integral of the right-hand side
is measurable.
## Implementation Notes
Many results are proven twice, once for functions in curried form (`α → β → γ`) and one for
functions in uncurried form (`α × β → γ`). The former often has an assumption
`Measurable (uncurry f)`, which could be inconvenient to discharge, but for the latter it is more
common that the function has to be given explicitly, since Lean cannot synthesize the function by
itself. We name the lemmas about the uncurried form with a prime.
Tonelli's theorem has a different naming scheme, since the version for the uncurried version is
reversed.
## Tags
product measure, Tonelli's theorem, Fubini-Tonelli theorem
-/
noncomputable section
open scoped Classical
open Topology ENNReal MeasureTheory
open Set Function Real ENNReal
open MeasureTheory MeasurableSpace MeasureTheory.Measure
open TopologicalSpace hiding generateFrom
open Filter hiding prod_eq map
variable {α α' β β' γ E : Type*}
/-- Rectangles formed by π-systems form a π-system. -/
theorem IsPiSystem.prod {C : Set (Set α)} {D : Set (Set β)} (hC : IsPiSystem C)
(hD : IsPiSystem D) : IsPiSystem (image2 (· ×ˢ ·) C D) := by
rintro _ ⟨s₁, hs₁, t₁, ht₁, rfl⟩ _ ⟨s₂, hs₂, t₂, ht₂, rfl⟩ hst
rw [prod_inter_prod] at hst ⊢; rw [prod_nonempty_iff] at hst
exact mem_image2_of_mem (hC _ hs₁ _ hs₂ hst.1) (hD _ ht₁ _ ht₂ hst.2)
#align is_pi_system.prod IsPiSystem.prod
/-- Rectangles of countably spanning sets are countably spanning. -/
theorem IsCountablySpanning.prod {C : Set (Set α)} {D : Set (Set β)} (hC : IsCountablySpanning C)
(hD : IsCountablySpanning D) : IsCountablySpanning (image2 (· ×ˢ ·) C D) := by
rcases hC, hD with ⟨⟨s, h1s, h2s⟩, t, h1t, h2t⟩
refine ⟨fun n => s n.unpair.1 ×ˢ t n.unpair.2, fun n => mem_image2_of_mem (h1s _) (h1t _), ?_⟩
rw [iUnion_unpair_prod, h2s, h2t, univ_prod_univ]
#align is_countably_spanning.prod IsCountablySpanning.prod
variable [MeasurableSpace α] [MeasurableSpace α'] [MeasurableSpace β] [MeasurableSpace β']
variable [MeasurableSpace γ]
variable {μ μ' : Measure α} {ν ν' : Measure β} {τ : Measure γ}
variable [NormedAddCommGroup E]
/-! ### Measurability
Before we define the product measure, we can talk about the measurability of operations on binary
functions. We show that if `f` is a binary measurable function, then the function that integrates
along one of the variables (using either the Lebesgue or Bochner integral) is measurable.
-/
/-- The product of generated σ-algebras is the one generated by rectangles, if both generating sets
are countably spanning. -/
theorem generateFrom_prod_eq {α β} {C : Set (Set α)} {D : Set (Set β)} (hC : IsCountablySpanning C)
(hD : IsCountablySpanning D) :
@Prod.instMeasurableSpace _ _ (generateFrom C) (generateFrom D) =
generateFrom (image2 (· ×ˢ ·) C D) := by
apply le_antisymm
· refine sup_le ?_ ?_ <;> rw [comap_generateFrom] <;> apply generateFrom_le <;>
rintro _ ⟨s, hs, rfl⟩
· rcases hD with ⟨t, h1t, h2t⟩
rw [← prod_univ, ← h2t, prod_iUnion]
apply MeasurableSet.iUnion
intro n
apply measurableSet_generateFrom
exact ⟨s, hs, t n, h1t n, rfl⟩
· rcases hC with ⟨t, h1t, h2t⟩
rw [← univ_prod, ← h2t, iUnion_prod_const]
apply MeasurableSet.iUnion
rintro n
apply measurableSet_generateFrom
exact mem_image2_of_mem (h1t n) hs
· apply generateFrom_le
rintro _ ⟨s, hs, t, ht, rfl⟩
dsimp only
rw [prod_eq]
apply (measurable_fst _).inter (measurable_snd _)
· exact measurableSet_generateFrom hs
· exact measurableSet_generateFrom ht
#align generate_from_prod_eq generateFrom_prod_eq
/-- If `C` and `D` generate the σ-algebras on `α` resp. `β`, then rectangles formed by `C` and `D`
generate the σ-algebra on `α × β`. -/
theorem generateFrom_eq_prod {C : Set (Set α)} {D : Set (Set β)} (hC : generateFrom C = ‹_›)
(hD : generateFrom D = ‹_›) (h2C : IsCountablySpanning C) (h2D : IsCountablySpanning D) :
generateFrom (image2 (· ×ˢ ·) C D) = Prod.instMeasurableSpace := by
rw [← hC, ← hD, generateFrom_prod_eq h2C h2D]
#align generate_from_eq_prod generateFrom_eq_prod
/-- The product σ-algebra is generated from boxes, i.e. `s ×ˢ t` for sets `s : Set α` and
`t : Set β`. -/
theorem generateFrom_prod :
generateFrom (image2 (· ×ˢ ·) { s : Set α | MeasurableSet s } { t : Set β | MeasurableSet t }) =
Prod.instMeasurableSpace :=
generateFrom_eq_prod generateFrom_measurableSet generateFrom_measurableSet
isCountablySpanning_measurableSet isCountablySpanning_measurableSet
#align generate_from_prod generateFrom_prod
/-- Rectangles form a π-system. -/
theorem isPiSystem_prod :
IsPiSystem (image2 (· ×ˢ ·) { s : Set α | MeasurableSet s } { t : Set β | MeasurableSet t }) :=
isPiSystem_measurableSet.prod isPiSystem_measurableSet
#align is_pi_system_prod isPiSystem_prod
/-- If `ν` is a finite measure, and `s ⊆ α × β` is measurable, then `x ↦ ν { y | (x, y) ∈ s }` is
a measurable function. `measurable_measure_prod_mk_left` is strictly more general. -/
theorem measurable_measure_prod_mk_left_finite [IsFiniteMeasure ν] {s : Set (α × β)}
(hs : MeasurableSet s) : Measurable fun x => ν (Prod.mk x ⁻¹' s) := by
refine induction_on_inter (C := fun s => Measurable fun x => ν (Prod.mk x ⁻¹' s))
generateFrom_prod.symm isPiSystem_prod ?_ ?_ ?_ ?_ hs
· simp
· rintro _ ⟨s, hs, t, _, rfl⟩
simp only [mk_preimage_prod_right_eq_if, measure_if]
exact measurable_const.indicator hs
· intro t ht h2t
simp_rw [preimage_compl, measure_compl (measurable_prod_mk_left ht) (measure_ne_top ν _)]
exact h2t.const_sub _
· intro f h1f h2f h3f
simp_rw [preimage_iUnion]
have : ∀ b, ν (⋃ i, Prod.mk b ⁻¹' f i) = ∑' i, ν (Prod.mk b ⁻¹' f i) := fun b =>
measure_iUnion (fun i j hij => Disjoint.preimage _ (h1f hij)) fun i =>
measurable_prod_mk_left (h2f i)
simp_rw [this]
apply Measurable.ennreal_tsum h3f
#align measurable_measure_prod_mk_left_finite measurable_measure_prod_mk_left_finite
/-- If `ν` is an s-finite measure, and `s ⊆ α × β` is measurable, then `x ↦ ν { y | (x, y) ∈ s }`
is a measurable function. -/
theorem measurable_measure_prod_mk_left [SFinite ν] {s : Set (α × β)} (hs : MeasurableSet s) :
Measurable fun x => ν (Prod.mk x ⁻¹' s) := by
rw [← sum_sFiniteSeq ν]
simp_rw [Measure.sum_apply_of_countable]
exact Measurable.ennreal_tsum (fun i ↦ measurable_measure_prod_mk_left_finite hs)
#align measurable_measure_prod_mk_left measurable_measure_prod_mk_left
/-- If `μ` is a σ-finite measure, and `s ⊆ α × β` is measurable, then `y ↦ μ { x | (x, y) ∈ s }` is
a measurable function. -/
theorem measurable_measure_prod_mk_right {μ : Measure α} [SFinite μ] {s : Set (α × β)}
(hs : MeasurableSet s) : Measurable fun y => μ ((fun x => (x, y)) ⁻¹' s) :=
measurable_measure_prod_mk_left (measurableSet_swap_iff.mpr hs)
#align measurable_measure_prod_mk_right measurable_measure_prod_mk_right
theorem Measurable.map_prod_mk_left [SFinite ν] :
Measurable fun x : α => map (Prod.mk x) ν := by
apply measurable_of_measurable_coe; intro s hs
simp_rw [map_apply measurable_prod_mk_left hs]
exact measurable_measure_prod_mk_left hs
#align measurable.map_prod_mk_left Measurable.map_prod_mk_left
theorem Measurable.map_prod_mk_right {μ : Measure α} [SFinite μ] :
Measurable fun y : β => map (fun x : α => (x, y)) μ := by
apply measurable_of_measurable_coe; intro s hs
simp_rw [map_apply measurable_prod_mk_right hs]
exact measurable_measure_prod_mk_right hs
#align measurable.map_prod_mk_right Measurable.map_prod_mk_right
theorem MeasurableEmbedding.prod_mk {α β γ δ : Type*} {mα : MeasurableSpace α}
{mβ : MeasurableSpace β} {mγ : MeasurableSpace γ} {mδ : MeasurableSpace δ} {f : α → β}
{g : γ → δ} (hg : MeasurableEmbedding g) (hf : MeasurableEmbedding f) :
MeasurableEmbedding fun x : γ × α => (g x.1, f x.2) := by
have h_inj : Function.Injective fun x : γ × α => (g x.fst, f x.snd) := by
intro x y hxy
rw [← @Prod.mk.eta _ _ x, ← @Prod.mk.eta _ _ y]
simp only [Prod.mk.inj_iff] at hxy ⊢
exact ⟨hg.injective hxy.1, hf.injective hxy.2⟩
refine ⟨h_inj, ?_, ?_⟩
· exact (hg.measurable.comp measurable_fst).prod_mk (hf.measurable.comp measurable_snd)
· -- Induction using the π-system of rectangles
refine fun s hs =>
@MeasurableSpace.induction_on_inter _
(fun s => MeasurableSet ((fun x : γ × α => (g x.fst, f x.snd)) '' s)) _ _
generateFrom_prod.symm isPiSystem_prod ?_ ?_ ?_ ?_ _ hs
· simp only [Set.image_empty, MeasurableSet.empty]
· rintro t ⟨t₁, ht₁, t₂, ht₂, rfl⟩
rw [← Set.prod_image_image_eq]
exact (hg.measurableSet_image.mpr ht₁).prod (hf.measurableSet_image.mpr ht₂)
· intro t _ ht_m
rw [← Set.range_diff_image h_inj, ← Set.prod_range_range_eq]
exact
MeasurableSet.diff (MeasurableSet.prod hg.measurableSet_range hf.measurableSet_range) ht_m
· intro g _ _ hg
simp_rw [Set.image_iUnion]
exact MeasurableSet.iUnion hg
#align measurable_embedding.prod_mk MeasurableEmbedding.prod_mk
lemma MeasurableEmbedding.prod_mk_left {β γ : Type*} [MeasurableSingletonClass α]
{mβ : MeasurableSpace β} {mγ : MeasurableSpace γ}
(x : α) {f : γ → β} (hf : MeasurableEmbedding f) :
MeasurableEmbedding (fun y ↦ (x, f y)) where
injective := by
intro y y'
simp only [Prod.mk.injEq, true_and]
exact fun h ↦ hf.injective h
measurable := Measurable.prod_mk measurable_const hf.measurable
measurableSet_image' := by
intro s hs
convert (MeasurableSet.singleton x).prod (hf.measurableSet_image.mpr hs)
ext x
simp
lemma measurableEmbedding_prod_mk_left [MeasurableSingletonClass α] (x : α) :
MeasurableEmbedding (Prod.mk x : β → α × β) :=
MeasurableEmbedding.prod_mk_left x MeasurableEmbedding.id
lemma MeasurableEmbedding.prod_mk_right {β γ : Type*} [MeasurableSingletonClass α]
{mβ : MeasurableSpace β} {mγ : MeasurableSpace γ}
{f : γ → β} (hf : MeasurableEmbedding f) (x : α) :
MeasurableEmbedding (fun y ↦ (f y, x)) where
injective := by
intro y y'
simp only [Prod.mk.injEq, and_true]
exact fun h ↦ hf.injective h
measurable := Measurable.prod_mk hf.measurable measurable_const
measurableSet_image' := by
intro s hs
convert (hf.measurableSet_image.mpr hs).prod (MeasurableSet.singleton x)
ext x
simp
lemma measurableEmbedding_prod_mk_right [MeasurableSingletonClass α] (x : α) :
MeasurableEmbedding (fun y ↦ (y, x) : β → β × α) :=
MeasurableEmbedding.prod_mk_right MeasurableEmbedding.id x
/-- The Lebesgue integral is measurable. This shows that the integrand of (the right-hand-side of)
Tonelli's theorem is measurable. -/
theorem Measurable.lintegral_prod_right' [SFinite ν] :
∀ {f : α × β → ℝ≥0∞}, Measurable f → Measurable fun x => ∫⁻ y, f (x, y) ∂ν := by
have m := @measurable_prod_mk_left
refine Measurable.ennreal_induction (P := fun f => Measurable fun (x : α) => ∫⁻ y, f (x, y) ∂ν)
?_ ?_ ?_
· intro c s hs
simp only [← indicator_comp_right]
suffices Measurable fun x => c * ν (Prod.mk x ⁻¹' s) by simpa [lintegral_indicator _ (m hs)]
exact (measurable_measure_prod_mk_left hs).const_mul _
· rintro f g - hf - h2f h2g
simp only [Pi.add_apply]
conv => enter [1, x]; erw [lintegral_add_left (hf.comp m)]
exact h2f.add h2g
· intro f hf h2f h3f
have := measurable_iSup h3f
have : ∀ x, Monotone fun n y => f n (x, y) := fun x i j hij y => h2f hij (x, y)
conv => enter [1, x]; erw [lintegral_iSup (fun n => (hf n).comp m) (this x)]
assumption
#align measurable.lintegral_prod_right' Measurable.lintegral_prod_right'
/-- The Lebesgue integral is measurable. This shows that the integrand of (the right-hand-side of)
Tonelli's theorem is measurable.
This version has the argument `f` in curried form. -/
theorem Measurable.lintegral_prod_right [SFinite ν] {f : α → β → ℝ≥0∞}
(hf : Measurable (uncurry f)) : Measurable fun x => ∫⁻ y, f x y ∂ν :=
hf.lintegral_prod_right'
#align measurable.lintegral_prod_right Measurable.lintegral_prod_right
/-- The Lebesgue integral is measurable. This shows that the integrand of (the right-hand-side of)
the symmetric version of Tonelli's theorem is measurable. -/
theorem Measurable.lintegral_prod_left' [SFinite μ] {f : α × β → ℝ≥0∞} (hf : Measurable f) :
Measurable fun y => ∫⁻ x, f (x, y) ∂μ :=
(measurable_swap_iff.mpr hf).lintegral_prod_right'
#align measurable.lintegral_prod_left' Measurable.lintegral_prod_left'
/-- The Lebesgue integral is measurable. This shows that the integrand of (the right-hand-side of)
the symmetric version of Tonelli's theorem is measurable.
This version has the argument `f` in curried form. -/
theorem Measurable.lintegral_prod_left [SFinite μ] {f : α → β → ℝ≥0∞}
(hf : Measurable (uncurry f)) : Measurable fun y => ∫⁻ x, f x y ∂μ :=
hf.lintegral_prod_left'
#align measurable.lintegral_prod_left Measurable.lintegral_prod_left
/-! ### The product measure -/
namespace MeasureTheory
namespace Measure
/-- The binary product of measures. They are defined for arbitrary measures, but we basically
prove all properties under the assumption that at least one of them is s-finite. -/
protected irreducible_def prod (μ : Measure α) (ν : Measure β) : Measure (α × β) :=
bind μ fun x : α => map (Prod.mk x) ν
#align measure_theory.measure.prod MeasureTheory.Measure.prod
instance prod.measureSpace {α β} [MeasureSpace α] [MeasureSpace β] : MeasureSpace (α × β) where
volume := volume.prod volume
#align measure_theory.measure.prod.measure_space MeasureTheory.Measure.prod.measureSpace
theorem volume_eq_prod (α β) [MeasureSpace α] [MeasureSpace β] :
(volume : Measure (α × β)) = (volume : Measure α).prod (volume : Measure β) :=
rfl
#align measure_theory.measure.volume_eq_prod MeasureTheory.Measure.volume_eq_prod
variable [SFinite ν]
theorem prod_apply {s : Set (α × β)} (hs : MeasurableSet s) :
μ.prod ν s = ∫⁻ x, ν (Prod.mk x ⁻¹' s) ∂μ := by
simp_rw [Measure.prod, bind_apply hs (Measurable.map_prod_mk_left (ν := ν)),
map_apply measurable_prod_mk_left hs]
#align measure_theory.measure.prod_apply MeasureTheory.Measure.prod_apply
/-- The product measure of the product of two sets is the product of their measures. Note that we
do not need the sets to be measurable. -/
@[simp]
theorem prod_prod (s : Set α) (t : Set β) : μ.prod ν (s ×ˢ t) = μ s * ν t := by
apply le_antisymm
· set S := toMeasurable μ s
set T := toMeasurable ν t
have hSTm : MeasurableSet (S ×ˢ T) :=
(measurableSet_toMeasurable _ _).prod (measurableSet_toMeasurable _ _)
calc
μ.prod ν (s ×ˢ t) ≤ μ.prod ν (S ×ˢ T) := by gcongr <;> apply subset_toMeasurable
_ = μ S * ν T := by
rw [prod_apply hSTm]
simp_rw [mk_preimage_prod_right_eq_if, measure_if,
lintegral_indicator _ (measurableSet_toMeasurable _ _), lintegral_const,
restrict_apply_univ, mul_comm]
_ = μ s * ν t := by rw [measure_toMeasurable, measure_toMeasurable]
· -- Formalization is based on https://mathoverflow.net/a/254134/136589
set ST := toMeasurable (μ.prod ν) (s ×ˢ t)
have hSTm : MeasurableSet ST := measurableSet_toMeasurable _ _
have hST : s ×ˢ t ⊆ ST := subset_toMeasurable _ _
set f : α → ℝ≥0∞ := fun x => ν (Prod.mk x ⁻¹' ST)
have hfm : Measurable f := measurable_measure_prod_mk_left hSTm
set s' : Set α := { x | ν t ≤ f x }
have hss' : s ⊆ s' := fun x hx => measure_mono fun y hy => hST <| mk_mem_prod hx hy
calc
μ s * ν t ≤ μ s' * ν t := by gcongr
_ = ∫⁻ _ in s', ν t ∂μ := by rw [set_lintegral_const, mul_comm]
_ ≤ ∫⁻ x in s', f x ∂μ := set_lintegral_mono measurable_const hfm fun x => id
_ ≤ ∫⁻ x, f x ∂μ := lintegral_mono' restrict_le_self le_rfl
_ = μ.prod ν ST := (prod_apply hSTm).symm
_ = μ.prod ν (s ×ˢ t) := measure_toMeasurable _
#align measure_theory.measure.prod_prod MeasureTheory.Measure.prod_prod
@[simp] lemma map_fst_prod : Measure.map Prod.fst (μ.prod ν) = (ν univ) • μ := by
ext s hs
simp [Measure.map_apply measurable_fst hs, ← prod_univ, mul_comm]
@[simp] lemma map_snd_prod : Measure.map Prod.snd (μ.prod ν) = (μ univ) • ν := by
ext s hs
simp [Measure.map_apply measurable_snd hs, ← univ_prod]
instance prod.instIsOpenPosMeasure {X Y : Type*} [TopologicalSpace X] [TopologicalSpace Y]
{m : MeasurableSpace X} {μ : Measure X} [IsOpenPosMeasure μ] {m' : MeasurableSpace Y}
{ν : Measure Y} [IsOpenPosMeasure ν] [SFinite ν] : IsOpenPosMeasure (μ.prod ν) := by
constructor
rintro U U_open ⟨⟨x, y⟩, hxy⟩
rcases isOpen_prod_iff.1 U_open x y hxy with ⟨u, v, u_open, v_open, xu, yv, huv⟩
refine ne_of_gt (lt_of_lt_of_le ?_ (measure_mono huv))
simp only [prod_prod, CanonicallyOrderedCommSemiring.mul_pos]
constructor
· exact u_open.measure_pos μ ⟨x, xu⟩
· exact v_open.measure_pos ν ⟨y, yv⟩
#align measure_theory.measure.prod.is_open_pos_measure MeasureTheory.Measure.prod.instIsOpenPosMeasure
instance {X Y : Type*}
[TopologicalSpace X] [MeasureSpace X] [IsOpenPosMeasure (volume : Measure X)]
[TopologicalSpace Y] [MeasureSpace Y] [IsOpenPosMeasure (volume : Measure Y)]
[SFinite (volume : Measure Y)] : IsOpenPosMeasure (volume : Measure (X × Y)) :=
prod.instIsOpenPosMeasure
instance prod.instIsFiniteMeasure {α β : Type*} {mα : MeasurableSpace α} {mβ : MeasurableSpace β}
(μ : Measure α) (ν : Measure β) [IsFiniteMeasure μ] [IsFiniteMeasure ν] :
IsFiniteMeasure (μ.prod ν) := by
constructor
rw [← univ_prod_univ, prod_prod]
exact mul_lt_top (measure_lt_top _ _).ne (measure_lt_top _ _).ne
#align measure_theory.measure.prod.measure_theory.is_finite_measure MeasureTheory.Measure.prod.instIsFiniteMeasure
instance {α β : Type*} [MeasureSpace α] [MeasureSpace β] [IsFiniteMeasure (volume : Measure α)]
[IsFiniteMeasure (volume : Measure β)] : IsFiniteMeasure (volume : Measure (α × β)) :=
prod.instIsFiniteMeasure _ _
instance prod.instIsProbabilityMeasure {α β : Type*} {mα : MeasurableSpace α}
{mβ : MeasurableSpace β} (μ : Measure α) (ν : Measure β) [IsProbabilityMeasure μ]
[IsProbabilityMeasure ν] : IsProbabilityMeasure (μ.prod ν) :=
⟨by rw [← univ_prod_univ, prod_prod, measure_univ, measure_univ, mul_one]⟩
#align measure_theory.measure.prod.measure_theory.is_probability_measure MeasureTheory.Measure.prod.instIsProbabilityMeasure
instance {α β : Type*} [MeasureSpace α] [MeasureSpace β]
[IsProbabilityMeasure (volume : Measure α)] [IsProbabilityMeasure (volume : Measure β)] :
IsProbabilityMeasure (volume : Measure (α × β)) :=
prod.instIsProbabilityMeasure _ _
instance prod.instIsFiniteMeasureOnCompacts {α β : Type*} [TopologicalSpace α] [TopologicalSpace β]
{mα : MeasurableSpace α} {mβ : MeasurableSpace β} (μ : Measure α) (ν : Measure β)
[IsFiniteMeasureOnCompacts μ] [IsFiniteMeasureOnCompacts ν] [SFinite ν] :
IsFiniteMeasureOnCompacts (μ.prod ν) := by
refine ⟨fun K hK => ?_⟩
set L := (Prod.fst '' K) ×ˢ (Prod.snd '' K) with hL
have : K ⊆ L := by
rintro ⟨x, y⟩ hxy
simp only [L, prod_mk_mem_set_prod_eq, mem_image, Prod.exists, exists_and_right,
exists_eq_right]
exact ⟨⟨y, hxy⟩, ⟨x, hxy⟩⟩
apply lt_of_le_of_lt (measure_mono this)
rw [hL, prod_prod]
exact
mul_lt_top (IsCompact.measure_lt_top (hK.image continuous_fst)).ne
(IsCompact.measure_lt_top (hK.image continuous_snd)).ne
#align measure_theory.measure.prod.measure_theory.is_finite_measure_on_compacts MeasureTheory.Measure.prod.instIsFiniteMeasureOnCompacts
instance {X Y : Type*}
[TopologicalSpace X] [MeasureSpace X] [IsFiniteMeasureOnCompacts (volume : Measure X)]
[TopologicalSpace Y] [MeasureSpace Y] [IsFiniteMeasureOnCompacts (volume : Measure Y)]
[SFinite (volume : Measure Y)] : IsFiniteMeasureOnCompacts (volume : Measure (X × Y)) :=
prod.instIsFiniteMeasureOnCompacts _ _
instance prod.instNoAtoms_fst [NoAtoms μ] :
NoAtoms (Measure.prod μ ν) := by
refine NoAtoms.mk (fun x => ?_)
rw [← Set.singleton_prod_singleton, Measure.prod_prod, measure_singleton, zero_mul]
instance prod.instNoAtoms_snd [NoAtoms ν] :
NoAtoms (Measure.prod μ ν) := by
refine NoAtoms.mk (fun x => ?_)
rw [← Set.singleton_prod_singleton, Measure.prod_prod, measure_singleton (μ := ν), mul_zero]
theorem ae_measure_lt_top {s : Set (α × β)} (hs : MeasurableSet s) (h2s : (μ.prod ν) s ≠ ∞) :
∀ᵐ x ∂μ, ν (Prod.mk x ⁻¹' s) < ∞ := by
rw [prod_apply hs] at h2s
exact ae_lt_top (measurable_measure_prod_mk_left hs) h2s
#align measure_theory.measure.ae_measure_lt_top MeasureTheory.Measure.ae_measure_lt_top
/-- Note: the assumption `hs` cannot be dropped. For a counterexample, see
Walter Rudin *Real and Complex Analysis*, example (c) in section 8.9. -/
| Mathlib/MeasureTheory/Constructions/Prod/Basic.lean | 473 | 475 | theorem measure_prod_null {s : Set (α × β)} (hs : MeasurableSet s) :
μ.prod ν s = 0 ↔ (fun x => ν (Prod.mk x ⁻¹' s)) =ᵐ[μ] 0 := by |
rw [prod_apply hs, lintegral_eq_zero_iff (measurable_measure_prod_mk_left hs)]
|
/-
Copyright (c) 2016 Jeremy Avigad. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jeremy Avigad, Leonardo de Moura, Mario Carneiro, Johannes Hölzl
-/
import Mathlib.Order.BoundedOrder
import Mathlib.Order.MinMax
import Mathlib.Algebra.NeZero
import Mathlib.Algebra.Order.Monoid.Defs
#align_import algebra.order.monoid.canonical.defs from "leanprover-community/mathlib"@"e8638a0fcaf73e4500469f368ef9494e495099b3"
/-!
# Canonically ordered monoids
-/
universe u
variable {α : Type u}
/-- An `OrderedCommMonoid` with one-sided 'division' in the sense that
if `a ≤ b`, there is some `c` for which `a * c = b`. This is a weaker version
of the condition on canonical orderings defined by `CanonicallyOrderedCommMonoid`. -/
class ExistsMulOfLE (α : Type u) [Mul α] [LE α] : Prop where
/-- For `a ≤ b`, `a` left divides `b` -/
exists_mul_of_le : ∀ {a b : α}, a ≤ b → ∃ c : α, b = a * c
#align has_exists_mul_of_le ExistsMulOfLE
/-- An `OrderedAddCommMonoid` with one-sided 'subtraction' in the sense that
if `a ≤ b`, then there is some `c` for which `a + c = b`. This is a weaker version
of the condition on canonical orderings defined by `CanonicallyOrderedAddCommMonoid`. -/
class ExistsAddOfLE (α : Type u) [Add α] [LE α] : Prop where
/-- For `a ≤ b`, there is a `c` so `b = a + c`. -/
exists_add_of_le : ∀ {a b : α}, a ≤ b → ∃ c : α, b = a + c
#align has_exists_add_of_le ExistsAddOfLE
attribute [to_additive] ExistsMulOfLE
export ExistsMulOfLE (exists_mul_of_le)
export ExistsAddOfLE (exists_add_of_le)
-- See note [lower instance priority]
@[to_additive]
instance (priority := 100) Group.existsMulOfLE (α : Type u) [Group α] [LE α] : ExistsMulOfLE α :=
⟨fun {a b} _ => ⟨a⁻¹ * b, (mul_inv_cancel_left _ _).symm⟩⟩
#align group.has_exists_mul_of_le Group.existsMulOfLE
#align add_group.has_exists_add_of_le AddGroup.existsAddOfLE
section MulOneClass
variable [MulOneClass α] [Preorder α] [ContravariantClass α α (· * ·) (· < ·)] [ExistsMulOfLE α]
{a b : α}
@[to_additive]
theorem exists_one_lt_mul_of_lt' (h : a < b) : ∃ c, 1 < c ∧ a * c = b := by
obtain ⟨c, rfl⟩ := exists_mul_of_le h.le
exact ⟨c, one_lt_of_lt_mul_right h, rfl⟩
#align exists_one_lt_mul_of_lt' exists_one_lt_mul_of_lt'
#align exists_pos_add_of_lt' exists_pos_add_of_lt'
end MulOneClass
section ExistsMulOfLE
variable [LinearOrder α] [DenselyOrdered α] [Monoid α] [ExistsMulOfLE α]
[CovariantClass α α (· * ·) (· < ·)] [ContravariantClass α α (· * ·) (· < ·)] {a b : α}
@[to_additive]
theorem le_of_forall_one_lt_le_mul (h : ∀ ε : α, 1 < ε → a ≤ b * ε) : a ≤ b :=
le_of_forall_le_of_dense fun x hxb => by
obtain ⟨ε, rfl⟩ := exists_mul_of_le hxb.le
exact h _ ((lt_mul_iff_one_lt_right' b).1 hxb)
#align le_of_forall_one_lt_le_mul le_of_forall_one_lt_le_mul
#align le_of_forall_pos_le_add le_of_forall_pos_le_add
@[to_additive]
theorem le_of_forall_one_lt_lt_mul' (h : ∀ ε : α, 1 < ε → a < b * ε) : a ≤ b :=
le_of_forall_one_lt_le_mul fun ε hε => (h ε hε).le
#align le_of_forall_one_lt_lt_mul' le_of_forall_one_lt_lt_mul'
#align le_of_forall_pos_lt_add' le_of_forall_pos_lt_add'
@[to_additive]
theorem le_iff_forall_one_lt_lt_mul' : a ≤ b ↔ ∀ ε, 1 < ε → a < b * ε :=
⟨fun h _ => lt_mul_of_le_of_one_lt h, le_of_forall_one_lt_lt_mul'⟩
#align le_iff_forall_one_lt_lt_mul' le_iff_forall_one_lt_lt_mul'
#align le_iff_forall_pos_lt_add' le_iff_forall_pos_lt_add'
end ExistsMulOfLE
/-- A canonically ordered additive monoid is an ordered commutative additive monoid
in which the ordering coincides with the subtractibility relation,
which is to say, `a ≤ b` iff there exists `c` with `b = a + c`.
This is satisfied by the natural numbers, for example, but not
the integers or other nontrivial `OrderedAddCommGroup`s. -/
class CanonicallyOrderedAddCommMonoid (α : Type*) extends OrderedAddCommMonoid α, OrderBot α where
/-- For `a ≤ b`, there is a `c` so `b = a + c`. -/
protected exists_add_of_le : ∀ {a b : α}, a ≤ b → ∃ c, b = a + c
/-- For any `a` and `b`, `a ≤ a + b` -/
protected le_self_add : ∀ a b : α, a ≤ a + b
#align canonically_ordered_add_monoid CanonicallyOrderedAddCommMonoid
#align canonically_ordered_add_monoid.to_order_bot CanonicallyOrderedAddCommMonoid.toOrderBot
-- see Note [lower instance priority]
attribute [instance 100] CanonicallyOrderedAddCommMonoid.toOrderBot
/-- A canonically ordered monoid is an ordered commutative monoid
in which the ordering coincides with the divisibility relation,
which is to say, `a ≤ b` iff there exists `c` with `b = a * c`.
Examples seem rare; it seems more likely that the `OrderDual`
of a naturally-occurring lattice satisfies this than the lattice
itself (for example, dual of the lattice of ideals of a PID or
Dedekind domain satisfy this; collections of all things ≤ 1 seem to
be more natural that collections of all things ≥ 1).
-/
@[to_additive]
class CanonicallyOrderedCommMonoid (α : Type*) extends OrderedCommMonoid α, OrderBot α where
/-- For `a ≤ b`, there is a `c` so `b = a * c`. -/
protected exists_mul_of_le : ∀ {a b : α}, a ≤ b → ∃ c, b = a * c
/-- For any `a` and `b`, `a ≤ a * b` -/
protected le_self_mul : ∀ a b : α, a ≤ a * b
#align canonically_ordered_monoid CanonicallyOrderedAddCommMonoid
#align canonically_ordered_monoid.to_order_bot CanonicallyOrderedCommMonoid.toOrderBot
-- see Note [lower instance priority]
attribute [instance 100] CanonicallyOrderedCommMonoid.toOrderBot
-- see Note [lower instance priority]
@[to_additive]
instance (priority := 100) CanonicallyOrderedCommMonoid.existsMulOfLE (α : Type u)
[h : CanonicallyOrderedCommMonoid α] : ExistsMulOfLE α :=
{ h with }
#align canonically_ordered_monoid.has_exists_mul_of_le CanonicallyOrderedCommMonoid.existsMulOfLE
#align canonically_ordered_add_monoid.has_exists_add_of_le CanonicallyOrderedAddCommMonoid.existsAddOfLE
section CanonicallyOrderedCommMonoid
variable [CanonicallyOrderedCommMonoid α] {a b c d : α}
@[to_additive]
theorem le_self_mul : a ≤ a * c :=
CanonicallyOrderedCommMonoid.le_self_mul _ _
#align le_self_mul le_self_mul
#align le_self_add le_self_add
@[to_additive]
| Mathlib/Algebra/Order/Monoid/Canonical/Defs.lean | 148 | 150 | theorem le_mul_self : a ≤ b * a := by |
rw [mul_comm]
exact le_self_mul
|
/-
Copyright (c) 2018 Chris Hughes. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Chris Hughes, Michael Stoll
-/
import Mathlib.NumberTheory.LegendreSymbol.QuadraticChar.Basic
#align_import number_theory.legendre_symbol.basic from "leanprover-community/mathlib"@"5b2fe80501ff327b9109fb09b7cc8c325cd0d7d9"
/-!
# Legendre symbol
This file contains results about Legendre symbols.
We define the Legendre symbol $\Bigl(\frac{a}{p}\Bigr)$ as `legendreSym p a`.
Note the order of arguments! The advantage of this form is that then `legendreSym p`
is a multiplicative map.
The Legendre symbol is used to define the Jacobi symbol, `jacobiSym a b`, for integers `a`
and (odd) natural numbers `b`, which extends the Legendre symbol.
## Main results
We also prove the supplementary laws that give conditions for when `-1`
is a square modulo a prime `p`:
`legendreSym.at_neg_one` and `ZMod.exists_sq_eq_neg_one_iff` for `-1`.
See `NumberTheory.LegendreSymbol.QuadraticReciprocity` for the conditions when `2` and `-2`
are squares:
`legendreSym.at_two` and `ZMod.exists_sq_eq_two_iff` for `2`,
`legendreSym.at_neg_two` and `ZMod.exists_sq_eq_neg_two_iff` for `-2`.
## Tags
quadratic residue, quadratic nonresidue, Legendre symbol
-/
open Nat
section Euler
namespace ZMod
variable (p : ℕ) [Fact p.Prime]
/-- Euler's Criterion: A unit `x` of `ZMod p` is a square if and only if `x ^ (p / 2) = 1`. -/
theorem euler_criterion_units (x : (ZMod p)ˣ) : (∃ y : (ZMod p)ˣ, y ^ 2 = x) ↔ x ^ (p / 2) = 1 := by
by_cases hc : p = 2
· subst hc
simp only [eq_iff_true_of_subsingleton, exists_const]
· have h₀ := FiniteField.unit_isSquare_iff (by rwa [ringChar_zmod_n]) x
have hs : (∃ y : (ZMod p)ˣ, y ^ 2 = x) ↔ IsSquare x := by
rw [isSquare_iff_exists_sq x]
simp_rw [eq_comm]
rw [hs]
rwa [card p] at h₀
#align zmod.euler_criterion_units ZMod.euler_criterion_units
/-- Euler's Criterion: a nonzero `a : ZMod p` is a square if and only if `x ^ (p / 2) = 1`. -/
theorem euler_criterion {a : ZMod p} (ha : a ≠ 0) : IsSquare (a : ZMod p) ↔ a ^ (p / 2) = 1 := by
apply (iff_congr _ (by simp [Units.ext_iff])).mp (euler_criterion_units p (Units.mk0 a ha))
simp only [Units.ext_iff, sq, Units.val_mk0, Units.val_mul]
constructor
· rintro ⟨y, hy⟩; exact ⟨y, hy.symm⟩
· rintro ⟨y, rfl⟩
have hy : y ≠ 0 := by
rintro rfl
simp [zero_pow, mul_zero, ne_eq, not_true] at ha
refine ⟨Units.mk0 y hy, ?_⟩; simp
#align zmod.euler_criterion ZMod.euler_criterion
/-- If `a : ZMod p` is nonzero, then `a^(p/2)` is either `1` or `-1`. -/
theorem pow_div_two_eq_neg_one_or_one {a : ZMod p} (ha : a ≠ 0) :
a ^ (p / 2) = 1 ∨ a ^ (p / 2) = -1 := by
cases' Prime.eq_two_or_odd (@Fact.out p.Prime _) with hp2 hp_odd
· subst p; revert a ha; intro a; fin_cases a
· tauto
· simp
rw [← mul_self_eq_one_iff, ← pow_add, ← two_mul, two_mul_odd_div_two hp_odd]
exact pow_card_sub_one_eq_one ha
#align zmod.pow_div_two_eq_neg_one_or_one ZMod.pow_div_two_eq_neg_one_or_one
end ZMod
end Euler
section Legendre
/-!
### Definition of the Legendre symbol and basic properties
-/
open ZMod
variable (p : ℕ) [Fact p.Prime]
/-- The Legendre symbol of `a : ℤ` and a prime `p`, `legendreSym p a`,
is an integer defined as
* `0` if `a` is `0` modulo `p`;
* `1` if `a` is a nonzero square modulo `p`
* `-1` otherwise.
Note the order of the arguments! The advantage of the order chosen here is
that `legendreSym p` is a multiplicative function `ℤ → ℤ`.
-/
def legendreSym (a : ℤ) : ℤ :=
quadraticChar (ZMod p) a
#align legendre_sym legendreSym
namespace legendreSym
/-- We have the congruence `legendreSym p a ≡ a ^ (p / 2) mod p`. -/
theorem eq_pow (a : ℤ) : (legendreSym p a : ZMod p) = (a : ZMod p) ^ (p / 2) := by
rcases eq_or_ne (ringChar (ZMod p)) 2 with hc | hc
· by_cases ha : (a : ZMod p) = 0
· rw [legendreSym, ha, quadraticChar_zero,
zero_pow (Nat.div_pos (@Fact.out p.Prime).two_le (succ_pos 1)).ne']
norm_cast
· have := (ringChar_zmod_n p).symm.trans hc
-- p = 2
subst p
rw [legendreSym, quadraticChar_eq_one_of_char_two hc ha]
revert ha
push_cast
generalize (a : ZMod 2) = b; fin_cases b
· tauto
· simp
· convert quadraticChar_eq_pow_of_char_ne_two' hc (a : ZMod p)
exact (card p).symm
#align legendre_sym.eq_pow legendreSym.eq_pow
/-- If `p ∤ a`, then `legendreSym p a` is `1` or `-1`. -/
theorem eq_one_or_neg_one {a : ℤ} (ha : (a : ZMod p) ≠ 0) :
legendreSym p a = 1 ∨ legendreSym p a = -1 :=
quadraticChar_dichotomy ha
#align legendre_sym.eq_one_or_neg_one legendreSym.eq_one_or_neg_one
theorem eq_neg_one_iff_not_one {a : ℤ} (ha : (a : ZMod p) ≠ 0) :
legendreSym p a = -1 ↔ ¬legendreSym p a = 1 :=
quadraticChar_eq_neg_one_iff_not_one ha
#align legendre_sym.eq_neg_one_iff_not_one legendreSym.eq_neg_one_iff_not_one
/-- The Legendre symbol of `p` and `a` is zero iff `p ∣ a`. -/
theorem eq_zero_iff (a : ℤ) : legendreSym p a = 0 ↔ (a : ZMod p) = 0 :=
quadraticChar_eq_zero_iff
#align legendre_sym.eq_zero_iff legendreSym.eq_zero_iff
@[simp]
| Mathlib/NumberTheory/LegendreSymbol/Basic.lean | 152 | 152 | theorem at_zero : legendreSym p 0 = 0 := by | rw [legendreSym, Int.cast_zero, MulChar.map_zero]
|
/-
Copyright (c) 2019 Johan Commelin. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johan Commelin, Kenny Lau
-/
import Mathlib.Algebra.MvPolynomial.Basic
import Mathlib.Data.Finset.PiAntidiagonal
import Mathlib.LinearAlgebra.StdBasis
import Mathlib.Tactic.Linarith
#align_import ring_theory.power_series.basic from "leanprover-community/mathlib"@"2d5739b61641ee4e7e53eca5688a08f66f2e6a60"
/-!
# Formal (multivariate) power series
This file defines multivariate formal power series
and develops the basic properties of these objects.
A formal power series is to a polynomial like an infinite sum is to a finite sum.
We provide the natural inclusion from multivariate polynomials to multivariate formal power series.
## Note
This file sets up the (semi)ring structure on multivariate power series:
additional results are in:
* `Mathlib.RingTheory.MvPowerSeries.Inverse` : invertibility,
formal power series over a local ring form a local ring;
* `Mathlib.RingTheory.MvPowerSeries.Trunc`: truncation of power series.
In `Mathlib.RingTheory.PowerSeries.Basic`, formal power series in one variable
will be obtained as a particular case, defined by
`PowerSeries R := MvPowerSeries Unit R`.
See that file for a specific description.
## Implementation notes
In this file we define multivariate formal power series with
variables indexed by `σ` and coefficients in `R` as
`MvPowerSeries σ R := (σ →₀ ℕ) → R`.
Unfortunately there is not yet enough API to show that they are the completion
of the ring of multivariate polynomials. However, we provide most of the infrastructure
that is needed to do this. Once I-adic completion (topological or algebraic) is available
it should not be hard to fill in the details.
-/
noncomputable section
open Finset (antidiagonal mem_antidiagonal)
/-- Multivariate formal power series, where `σ` is the index set of the variables
and `R` is the coefficient ring. -/
def MvPowerSeries (σ : Type*) (R : Type*) :=
(σ →₀ ℕ) → R
#align mv_power_series MvPowerSeries
namespace MvPowerSeries
open Finsupp
variable {σ R : Type*}
instance [Inhabited R] : Inhabited (MvPowerSeries σ R) :=
⟨fun _ => default⟩
instance [Zero R] : Zero (MvPowerSeries σ R) :=
Pi.instZero
instance [AddMonoid R] : AddMonoid (MvPowerSeries σ R) :=
Pi.addMonoid
instance [AddGroup R] : AddGroup (MvPowerSeries σ R) :=
Pi.addGroup
instance [AddCommMonoid R] : AddCommMonoid (MvPowerSeries σ R) :=
Pi.addCommMonoid
instance [AddCommGroup R] : AddCommGroup (MvPowerSeries σ R) :=
Pi.addCommGroup
instance [Nontrivial R] : Nontrivial (MvPowerSeries σ R) :=
Function.nontrivial
instance {A} [Semiring R] [AddCommMonoid A] [Module R A] : Module R (MvPowerSeries σ A) :=
Pi.module _ _ _
instance {A S} [Semiring R] [Semiring S] [AddCommMonoid A] [Module R A] [Module S A] [SMul R S]
[IsScalarTower R S A] : IsScalarTower R S (MvPowerSeries σ A) :=
Pi.isScalarTower
section Semiring
variable (R) [Semiring R]
/-- The `n`th monomial as multivariate formal power series:
it is defined as the `R`-linear map from `R` to the semi-ring
of multivariate formal power series associating to each `a`
the map sending `n : σ →₀ ℕ` to the value `a`
and sending all other `x : σ →₀ ℕ` different from `n` to `0`. -/
def monomial (n : σ →₀ ℕ) : R →ₗ[R] MvPowerSeries σ R :=
letI := Classical.decEq σ
LinearMap.stdBasis R (fun _ ↦ R) n
#align mv_power_series.monomial MvPowerSeries.monomial
/-- The `n`th coefficient of a multivariate formal power series. -/
def coeff (n : σ →₀ ℕ) : MvPowerSeries σ R →ₗ[R] R :=
LinearMap.proj n
#align mv_power_series.coeff MvPowerSeries.coeff
variable {R}
/-- Two multivariate formal power series are equal if all their coefficients are equal. -/
@[ext]
theorem ext {φ ψ} (h : ∀ n : σ →₀ ℕ, coeff R n φ = coeff R n ψ) : φ = ψ :=
funext h
#align mv_power_series.ext MvPowerSeries.ext
/-- Two multivariate formal power series are equal
if and only if all their coefficients are equal. -/
theorem ext_iff {φ ψ : MvPowerSeries σ R} : φ = ψ ↔ ∀ n : σ →₀ ℕ, coeff R n φ = coeff R n ψ :=
Function.funext_iff
#align mv_power_series.ext_iff MvPowerSeries.ext_iff
theorem monomial_def [DecidableEq σ] (n : σ →₀ ℕ) :
(monomial R n) = LinearMap.stdBasis R (fun _ ↦ R) n := by
rw [monomial]
-- unify the `Decidable` arguments
convert rfl
#align mv_power_series.monomial_def MvPowerSeries.monomial_def
theorem coeff_monomial [DecidableEq σ] (m n : σ →₀ ℕ) (a : R) :
coeff R m (monomial R n a) = if m = n then a else 0 := by
-- This used to be `rw`, but we need `erw` after leanprover/lean4#2644
erw [coeff, monomial_def, LinearMap.proj_apply (i := m)]
dsimp only
-- This used to be `rw`, but we need `erw` after leanprover/lean4#2644
erw [LinearMap.stdBasis_apply, Function.update_apply, Pi.zero_apply]
#align mv_power_series.coeff_monomial MvPowerSeries.coeff_monomial
@[simp]
theorem coeff_monomial_same (n : σ →₀ ℕ) (a : R) : coeff R n (monomial R n a) = a := by
classical
rw [monomial_def]
exact LinearMap.stdBasis_same R (fun _ ↦ R) n a
#align mv_power_series.coeff_monomial_same MvPowerSeries.coeff_monomial_same
theorem coeff_monomial_ne {m n : σ →₀ ℕ} (h : m ≠ n) (a : R) : coeff R m (monomial R n a) = 0 := by
classical
rw [monomial_def]
exact LinearMap.stdBasis_ne R (fun _ ↦ R) _ _ h a
#align mv_power_series.coeff_monomial_ne MvPowerSeries.coeff_monomial_ne
theorem eq_of_coeff_monomial_ne_zero {m n : σ →₀ ℕ} {a : R} (h : coeff R m (monomial R n a) ≠ 0) :
m = n :=
by_contra fun h' => h <| coeff_monomial_ne h' a
#align mv_power_series.eq_of_coeff_monomial_ne_zero MvPowerSeries.eq_of_coeff_monomial_ne_zero
@[simp]
theorem coeff_comp_monomial (n : σ →₀ ℕ) : (coeff R n).comp (monomial R n) = LinearMap.id :=
LinearMap.ext <| coeff_monomial_same n
#align mv_power_series.coeff_comp_monomial MvPowerSeries.coeff_comp_monomial
-- Porting note (#10618): simp can prove this.
-- @[simp]
theorem coeff_zero (n : σ →₀ ℕ) : coeff R n (0 : MvPowerSeries σ R) = 0 :=
rfl
#align mv_power_series.coeff_zero MvPowerSeries.coeff_zero
variable (m n : σ →₀ ℕ) (φ ψ : MvPowerSeries σ R)
instance : One (MvPowerSeries σ R) :=
⟨monomial R (0 : σ →₀ ℕ) 1⟩
theorem coeff_one [DecidableEq σ] : coeff R n (1 : MvPowerSeries σ R) = if n = 0 then 1 else 0 :=
coeff_monomial _ _ _
#align mv_power_series.coeff_one MvPowerSeries.coeff_one
theorem coeff_zero_one : coeff R (0 : σ →₀ ℕ) 1 = 1 :=
coeff_monomial_same 0 1
#align mv_power_series.coeff_zero_one MvPowerSeries.coeff_zero_one
theorem monomial_zero_one : monomial R (0 : σ →₀ ℕ) 1 = 1 :=
rfl
#align mv_power_series.monomial_zero_one MvPowerSeries.monomial_zero_one
instance : AddMonoidWithOne (MvPowerSeries σ R) :=
{ show AddMonoid (MvPowerSeries σ R) by infer_instance with
natCast := fun n => monomial R 0 n
natCast_zero := by simp [Nat.cast]
natCast_succ := by simp [Nat.cast, monomial_zero_one]
one := 1 }
instance : Mul (MvPowerSeries σ R) :=
letI := Classical.decEq σ
⟨fun φ ψ n => ∑ p ∈ antidiagonal n, coeff R p.1 φ * coeff R p.2 ψ⟩
theorem coeff_mul [DecidableEq σ] :
coeff R n (φ * ψ) = ∑ p ∈ antidiagonal n, coeff R p.1 φ * coeff R p.2 ψ := by
refine Finset.sum_congr ?_ fun _ _ => rfl
rw [Subsingleton.elim (Classical.decEq σ) ‹DecidableEq σ›]
#align mv_power_series.coeff_mul MvPowerSeries.coeff_mul
protected theorem zero_mul : (0 : MvPowerSeries σ R) * φ = 0 :=
ext fun n => by classical simp [coeff_mul]
#align mv_power_series.zero_mul MvPowerSeries.zero_mul
protected theorem mul_zero : φ * 0 = 0 :=
ext fun n => by classical simp [coeff_mul]
#align mv_power_series.mul_zero MvPowerSeries.mul_zero
theorem coeff_monomial_mul (a : R) :
coeff R m (monomial R n a * φ) = if n ≤ m then a * coeff R (m - n) φ else 0 := by
classical
have :
∀ p ∈ antidiagonal m,
coeff R (p : (σ →₀ ℕ) × (σ →₀ ℕ)).1 (monomial R n a) * coeff R p.2 φ ≠ 0 → p.1 = n :=
fun p _ hp => eq_of_coeff_monomial_ne_zero (left_ne_zero_of_mul hp)
rw [coeff_mul, ← Finset.sum_filter_of_ne this, Finset.filter_fst_eq_antidiagonal _ n,
Finset.sum_ite_index]
simp only [Finset.sum_singleton, coeff_monomial_same, Finset.sum_empty]
#align mv_power_series.coeff_monomial_mul MvPowerSeries.coeff_monomial_mul
| Mathlib/RingTheory/MvPowerSeries/Basic.lean | 226 | 235 | theorem coeff_mul_monomial (a : R) :
coeff R m (φ * monomial R n a) = if n ≤ m then coeff R (m - n) φ * a else 0 := by |
classical
have :
∀ p ∈ antidiagonal m,
coeff R (p : (σ →₀ ℕ) × (σ →₀ ℕ)).1 φ * coeff R p.2 (monomial R n a) ≠ 0 → p.2 = n :=
fun p _ hp => eq_of_coeff_monomial_ne_zero (right_ne_zero_of_mul hp)
rw [coeff_mul, ← Finset.sum_filter_of_ne this, Finset.filter_snd_eq_antidiagonal _ n,
Finset.sum_ite_index]
simp only [Finset.sum_singleton, coeff_monomial_same, Finset.sum_empty]
|
/-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl
-/
import Mathlib.Logic.Function.Basic
import Mathlib.Tactic.AdaptationNote
#align_import data.subtype from "leanprover-community/mathlib"@"48fb5b5280e7c81672afc9524185ae994553ebf4"
#align_import init.data.subtype.basic from "leanprover-community/lean"@"855e5b74e3a52a40552e8f067169d747d48743fd"
/-!
# Subtypes
This file provides basic API for subtypes, which are defined in core.
A subtype is a type made from restricting another type, say `α`, to its elements that satisfy some
predicate, say `p : α → Prop`. Specifically, it is the type of pairs `⟨val, property⟩` where
`val : α` and `property : p val`. It is denoted `Subtype p` and notation `{val : α // p val}` is
available.
A subtype has a natural coercion to the parent type, by coercing `⟨val, property⟩` to `val`. As
such, subtypes can be thought of as bundled sets, the difference being that elements of a set are
still of type `α` while elements of a subtype aren't.
-/
open Function
namespace Subtype
variable {α β γ : Sort*} {p q : α → Prop}
#align subtype.eq Subtype.eq
#align subtype.eta Subtype.eta
#noalign subtype.tag_irrelevant
#noalign subtype.exists_of_subtype
#noalign subtype.inhabited
attribute [coe] Subtype.val
initialize_simps_projections Subtype (val → coe)
/-- A version of `x.property` or `x.2` where `p` is syntactically applied to the coercion of `x`
instead of `x.1`. A similar result is `Subtype.mem` in `Data.Set.Basic`. -/
theorem prop (x : Subtype p) : p x :=
x.2
#align subtype.prop Subtype.prop
@[simp]
protected theorem «forall» {q : { a // p a } → Prop} : (∀ x, q x) ↔ ∀ a b, q ⟨a, b⟩ :=
⟨fun h a b ↦ h ⟨a, b⟩, fun h ⟨a, b⟩ ↦ h a b⟩
#align subtype.forall Subtype.forall
/-- An alternative version of `Subtype.forall`. This one is useful if Lean cannot figure out `q`
when using `Subtype.forall` from right to left. -/
protected theorem forall' {q : ∀ x, p x → Prop} : (∀ x h, q x h) ↔ ∀ x : { a // p a }, q x x.2 :=
(@Subtype.forall _ _ fun x ↦ q x.1 x.2).symm
#align subtype.forall' Subtype.forall'
@[simp]
protected theorem «exists» {q : { a // p a } → Prop} : (∃ x, q x) ↔ ∃ a b, q ⟨a, b⟩ :=
⟨fun ⟨⟨a, b⟩, h⟩ ↦ ⟨a, b, h⟩, fun ⟨a, b, h⟩ ↦ ⟨⟨a, b⟩, h⟩⟩
#align subtype.exists Subtype.exists
/-- An alternative version of `Subtype.exists`. This one is useful if Lean cannot figure out `q`
when using `Subtype.exists` from right to left. -/
protected theorem exists' {q : ∀ x, p x → Prop} : (∃ x h, q x h) ↔ ∃ x : { a // p a }, q x x.2 :=
(@Subtype.exists _ _ fun x ↦ q x.1 x.2).symm
#align subtype.exists' Subtype.exists'
@[ext]
protected theorem ext : ∀ {a1 a2 : { x // p x }}, (a1 : α) = (a2 : α) → a1 = a2
| ⟨_, _⟩, ⟨_, _⟩, rfl => rfl
#align subtype.ext Subtype.ext
theorem ext_iff {a1 a2 : { x // p x }} : a1 = a2 ↔ (a1 : α) = (a2 : α) :=
⟨congr_arg _, Subtype.ext⟩
#align subtype.ext_iff Subtype.ext_iff
theorem heq_iff_coe_eq (h : ∀ x, p x ↔ q x) {a1 : { x // p x }} {a2 : { x // q x }} :
HEq a1 a2 ↔ (a1 : α) = (a2 : α) :=
Eq.rec (motive := fun (pp: (α → Prop)) _ ↦ ∀ a2' : {x // pp x}, HEq a1 a2' ↔ (a1 : α) = (a2' : α))
(fun _ ↦ heq_iff_eq.trans ext_iff) (funext <| fun x ↦ propext (h x)) a2
#align subtype.heq_iff_coe_eq Subtype.heq_iff_coe_eq
lemma heq_iff_coe_heq {α β : Sort _} {p : α → Prop} {q : β → Prop} {a : {x // p x}}
{b : {y // q y}} (h : α = β) (h' : HEq p q) : HEq a b ↔ HEq (a : α) (b : β) := by
subst h
subst h'
rw [heq_iff_eq, heq_iff_eq, ext_iff]
#align subtype.heq_iff_coe_heq Subtype.heq_iff_coe_heq
theorem ext_val {a1 a2 : { x // p x }} : a1.1 = a2.1 → a1 = a2 :=
Subtype.ext
#align subtype.ext_val Subtype.ext_val
theorem ext_iff_val {a1 a2 : { x // p x }} : a1 = a2 ↔ a1.1 = a2.1 :=
ext_iff
#align subtype.ext_iff_val Subtype.ext_iff_val
@[simp]
theorem coe_eta (a : { a // p a }) (h : p a) : mk (↑a) h = a :=
Subtype.ext rfl
#align subtype.coe_eta Subtype.coe_eta
theorem coe_mk (a h) : (@mk α p a h : α) = a :=
rfl
#align subtype.coe_mk Subtype.coe_mk
-- Porting note: comment out `@[simp, nolint simp_nf]`
-- Porting note: not clear if "built-in reduction doesn't always work" is still relevant
-- built-in reduction doesn't always work
-- @[simp, nolint simp_nf]
theorem mk_eq_mk {a h a' h'} : @mk α p a h = @mk α p a' h' ↔ a = a' :=
ext_iff
#align subtype.mk_eq_mk Subtype.mk_eq_mk
theorem coe_eq_of_eq_mk {a : { a // p a }} {b : α} (h : ↑a = b) : a = ⟨b, h ▸ a.2⟩ :=
Subtype.ext h
#align subtype.coe_eq_of_eq_mk Subtype.coe_eq_of_eq_mk
theorem coe_eq_iff {a : { a // p a }} {b : α} : ↑a = b ↔ ∃ h, a = ⟨b, h⟩ :=
⟨fun h ↦ h ▸ ⟨a.2, (coe_eta _ _).symm⟩, fun ⟨_, ha⟩ ↦ ha.symm ▸ rfl⟩
#align subtype.coe_eq_iff Subtype.coe_eq_iff
theorem coe_injective : Injective (fun (a : Subtype p) ↦ (a : α)) := fun _ _ ↦ Subtype.ext
#align subtype.coe_injective Subtype.coe_injective
theorem val_injective : Injective (@val _ p) :=
coe_injective
#align subtype.val_injective Subtype.val_injective
theorem coe_inj {a b : Subtype p} : (a : α) = b ↔ a = b :=
coe_injective.eq_iff
#align subtype.coe_inj Subtype.coe_inj
theorem val_inj {a b : Subtype p} : a.val = b.val ↔ a = b :=
coe_inj
#align subtype.val_inj Subtype.val_inj
lemma coe_ne_coe {a b : Subtype p} : (a : α) ≠ b ↔ a ≠ b := coe_injective.ne_iff
@[deprecated (since := "2024-04-04")] alias ⟨ne_of_val_ne, _⟩ := coe_ne_coe
#align subtype.ne_of_val_ne Subtype.ne_of_val_ne
-- Porting note: it is unclear why the linter doesn't like this.
-- If you understand why, please replace this comment with an explanation, or resolve.
@[simp, nolint simpNF]
theorem _root_.exists_eq_subtype_mk_iff {a : Subtype p} {b : α} :
(∃ h : p b, a = Subtype.mk b h) ↔ ↑a = b :=
coe_eq_iff.symm
#align exists_eq_subtype_mk_iff exists_eq_subtype_mk_iff
-- Porting note: it is unclear why the linter doesn't like this.
-- If you understand why, please replace this comment with an explanation, or resolve.
@[simp, nolint simpNF]
theorem _root_.exists_subtype_mk_eq_iff {a : Subtype p} {b : α} :
(∃ h : p b, Subtype.mk b h = a) ↔ b = a := by
simp only [@eq_comm _ b, exists_eq_subtype_mk_iff, @eq_comm _ _ a]
#align exists_subtype_mk_eq_iff exists_subtype_mk_eq_iff
/-- Restrict a (dependent) function to a subtype -/
def restrict {α} {β : α → Type*} (p : α → Prop) (f : ∀ x, β x) (x : Subtype p) : β x.1 :=
f x
#align subtype.restrict Subtype.restrict
theorem restrict_apply {α} {β : α → Type*} (f : ∀ x, β x) (p : α → Prop) (x : Subtype p) :
restrict p f x = f x.1 := by
rfl
#align subtype.restrict_apply Subtype.restrict_apply
theorem restrict_def {α β} (f : α → β) (p : α → Prop) :
restrict p f = f ∘ (fun (a : Subtype p) ↦ a) := rfl
#align subtype.restrict_def Subtype.restrict_def
theorem restrict_injective {α β} {f : α → β} (p : α → Prop) (h : Injective f) :
Injective (restrict p f) :=
h.comp coe_injective
#align subtype.restrict_injective Subtype.restrict_injective
| Mathlib/Data/Subtype.lean | 183 | 188 | theorem surjective_restrict {α} {β : α → Type*} [ne : ∀ a, Nonempty (β a)] (p : α → Prop) :
Surjective fun f : ∀ x, β x ↦ restrict p f := by |
letI := Classical.decPred p
refine fun f ↦ ⟨fun x ↦ if h : p x then f ⟨x, h⟩ else Nonempty.some (ne x), funext <| ?_⟩
rintro ⟨x, hx⟩
exact dif_pos hx
|
/-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl
-/
import Mathlib.Topology.Algebra.InfiniteSum.Group
import Mathlib.Logic.Encodable.Lattice
/-!
# Infinite sums and products over `ℕ` and `ℤ`
This file contains lemmas about `HasSum`, `Summable`, `tsum`, `HasProd`, `Multipliable`, and `tprod`
applied to the important special cases where the domain is `ℕ` or `ℤ`. For instance, we prove the
formula `∑ i ∈ range k, f i + ∑' i, f (i + k) = ∑' i, f i`, ∈ `sum_add_tsum_nat_add`, as well as
several results relating sums and products on `ℕ` to sums and products on `ℤ`.
-/
noncomputable section
open Filter Finset Function Encodable
open scoped Topology
variable {M : Type*} [CommMonoid M] [TopologicalSpace M] {m m' : M}
variable {G : Type*} [CommGroup G] {g g' : G}
-- don't declare [TopologicalAddGroup G] here as some results require [UniformAddGroup G] instead
/-!
## Sums over `ℕ`
-/
section Nat
section Monoid
namespace HasProd
/-- If `f : ℕ → M` has product `m`, then the partial products `∏ i ∈ range n, f i` converge
to `m`. -/
@[to_additive "If `f : ℕ → M` has sum `m`, then the partial sums `∑ i ∈ range n, f i` converge
to `m`."]
theorem tendsto_prod_nat {f : ℕ → M} (h : HasProd f m) :
Tendsto (fun n ↦ ∏ i ∈ range n, f i) atTop (𝓝 m) :=
h.comp tendsto_finset_range
#align has_sum.tendsto_sum_nat HasSum.tendsto_sum_nat
/-- If `f : ℕ → M` is multipliable, then the partial products `∏ i ∈ range n, f i` converge
to `∏' i, f i`. -/
@[to_additive "If `f : ℕ → M` is summable, then the partial sums `∑ i ∈ range n, f i` converge
to `∑' i, f i`."]
theorem Multipliable.tendsto_prod_tprod_nat {f : ℕ → M} (h : Multipliable f) :
Tendsto (fun n ↦ ∏ i ∈ range n, f i) atTop (𝓝 (∏' i, f i)) :=
tendsto_prod_nat h.hasProd
section ContinuousMul
variable [ContinuousMul M]
@[to_additive]
theorem prod_range_mul {f : ℕ → M} {k : ℕ} (h : HasProd (fun n ↦ f (n + k)) m) :
HasProd f ((∏ i ∈ range k, f i) * m) := by
refine ((range k).hasProd f).mul_compl ?_
rwa [← (notMemRangeEquiv k).symm.hasProd_iff]
@[to_additive]
theorem zero_mul {f : ℕ → M} (h : HasProd (fun n ↦ f (n + 1)) m) :
HasProd f (f 0 * m) := by
simpa only [prod_range_one] using h.prod_range_mul
@[to_additive]
theorem even_mul_odd {f : ℕ → M} (he : HasProd (fun k ↦ f (2 * k)) m)
(ho : HasProd (fun k ↦ f (2 * k + 1)) m') : HasProd f (m * m') := by
have := mul_right_injective₀ (two_ne_zero' ℕ)
replace ho := ((add_left_injective 1).comp this).hasProd_range_iff.2 ho
refine (this.hasProd_range_iff.2 he).mul_isCompl ?_ ho
simpa [(· ∘ ·)] using Nat.isCompl_even_odd
#align has_sum.even_add_odd HasSum.even_add_odd
end ContinuousMul
end HasProd
namespace Multipliable
@[to_additive]
theorem hasProd_iff_tendsto_nat [T2Space M] {f : ℕ → M} (hf : Multipliable f) :
HasProd f m ↔ Tendsto (fun n : ℕ ↦ ∏ i ∈ range n, f i) atTop (𝓝 m) := by
refine ⟨fun h ↦ h.tendsto_prod_nat, fun h ↦ ?_⟩
rw [tendsto_nhds_unique h hf.hasProd.tendsto_prod_nat]
exact hf.hasProd
#align summable.has_sum_iff_tendsto_nat Summable.hasSum_iff_tendsto_nat
section ContinuousMul
variable [ContinuousMul M]
@[to_additive]
theorem comp_nat_add {f : ℕ → M} {k : ℕ} (h : Multipliable fun n ↦ f (n + k)) : Multipliable f :=
h.hasProd.prod_range_mul.multipliable
@[to_additive]
theorem even_mul_odd {f : ℕ → M} (he : Multipliable fun k ↦ f (2 * k))
(ho : Multipliable fun k ↦ f (2 * k + 1)) : Multipliable f :=
(he.hasProd.even_mul_odd ho.hasProd).multipliable
end ContinuousMul
end Multipliable
section tprod
variable [T2Space M] {α β γ : Type*}
section Encodable
variable [Encodable β]
/-- You can compute a product over an encodable type by multiplying over the natural numbers and
taking a supremum. -/
@[to_additive "You can compute a sum over an encodable type by summing over the natural numbers and
taking a supremum. This is useful for outer measures."]
theorem tprod_iSup_decode₂ [CompleteLattice α] (m : α → M) (m0 : m ⊥ = 1) (s : β → α) :
∏' i : ℕ, m (⨆ b ∈ decode₂ β i, s b) = ∏' b : β, m (s b) := by
rw [← tprod_extend_one (@encode_injective β _)]
refine tprod_congr fun n ↦ ?_
rcases em (n ∈ Set.range (encode : β → ℕ)) with ⟨a, rfl⟩ | hn
· simp [encode_injective.extend_apply]
· rw [extend_apply' _ _ _ hn]
rw [← decode₂_ne_none_iff, ne_eq, not_not] at hn
simp [hn, m0]
#align tsum_supr_decode₂ tsum_iSup_decode₂
/-- `tprod_iSup_decode₂` specialized to the complete lattice of sets. -/
@[to_additive "`tsum_iSup_decode₂` specialized to the complete lattice of sets."]
theorem tprod_iUnion_decode₂ (m : Set α → M) (m0 : m ∅ = 1) (s : β → Set α) :
∏' i, m (⋃ b ∈ decode₂ β i, s b) = ∏' b, m (s b) :=
tprod_iSup_decode₂ m m0 s
#align tsum_Union_decode₂ tsum_iUnion_decode₂
end Encodable
/-! Some properties about measure-like functions. These could also be functions defined on complete
sublattices of sets, with the property that they are countably sub-additive.
`R` will probably be instantiated with `(≤)` in all applications.
-/
section Countable
variable [Countable β]
/-- If a function is countably sub-multiplicative then it is sub-multiplicative on countable
types -/
@[to_additive "If a function is countably sub-additive then it is sub-additive on countable types"]
theorem rel_iSup_tprod [CompleteLattice α] (m : α → M) (m0 : m ⊥ = 1) (R : M → M → Prop)
(m_iSup : ∀ s : ℕ → α, R (m (⨆ i, s i)) (∏' i, m (s i))) (s : β → α) :
R (m (⨆ b : β, s b)) (∏' b : β, m (s b)) := by
cases nonempty_encodable β
rw [← iSup_decode₂, ← tprod_iSup_decode₂ _ m0 s]
exact m_iSup _
#align rel_supr_tsum rel_iSup_tsum
/-- If a function is countably sub-multiplicative then it is sub-multiplicative on finite sets -/
@[to_additive "If a function is countably sub-additive then it is sub-additive on finite sets"]
theorem rel_iSup_prod [CompleteLattice α] (m : α → M) (m0 : m ⊥ = 1) (R : M → M → Prop)
(m_iSup : ∀ s : ℕ → α, R (m (⨆ i, s i)) (∏' i, m (s i))) (s : γ → α) (t : Finset γ) :
R (m (⨆ d ∈ t, s d)) (∏ d ∈ t, m (s d)) := by
rw [iSup_subtype', ← Finset.tprod_subtype]
exact rel_iSup_tprod m m0 R m_iSup _
#align rel_supr_sum rel_iSup_sum
/-- If a function is countably sub-multiplicative then it is binary sub-multiplicative -/
@[to_additive "If a function is countably sub-additive then it is binary sub-additive"]
theorem rel_sup_mul [CompleteLattice α] (m : α → M) (m0 : m ⊥ = 1) (R : M → M → Prop)
(m_iSup : ∀ s : ℕ → α, R (m (⨆ i, s i)) (∏' i, m (s i))) (s₁ s₂ : α) :
R (m (s₁ ⊔ s₂)) (m s₁ * m s₂) := by
convert rel_iSup_tprod m m0 R m_iSup fun b ↦ cond b s₁ s₂
· simp only [iSup_bool_eq, cond]
· rw [tprod_fintype, Fintype.prod_bool, cond, cond]
#align rel_sup_add rel_sup_add
end Countable
section ContinuousMul
variable [ContinuousMul M]
@[to_additive]
theorem prod_mul_tprod_nat_mul'
{f : ℕ → M} {k : ℕ} (h : Multipliable (fun n ↦ f (n + k))) :
((∏ i ∈ range k, f i) * ∏' i, f (i + k)) = ∏' i, f i :=
h.hasProd.prod_range_mul.tprod_eq.symm
@[to_additive]
theorem tprod_eq_zero_mul'
{f : ℕ → M} (hf : Multipliable (fun n ↦ f (n + 1))) :
∏' b, f b = f 0 * ∏' b, f (b + 1) := by
simpa only [prod_range_one] using (prod_mul_tprod_nat_mul' hf).symm
@[to_additive]
theorem tprod_even_mul_odd {f : ℕ → M} (he : Multipliable fun k ↦ f (2 * k))
(ho : Multipliable fun k ↦ f (2 * k + 1)) :
(∏' k, f (2 * k)) * ∏' k, f (2 * k + 1) = ∏' k, f k :=
(he.hasProd.even_mul_odd ho.hasProd).tprod_eq.symm
#align tsum_even_add_odd tsum_even_add_odd
end ContinuousMul
end tprod
end Monoid
section TopologicalGroup
variable [TopologicalSpace G] [TopologicalGroup G]
@[to_additive]
theorem hasProd_nat_add_iff {f : ℕ → G} (k : ℕ) :
HasProd (fun n ↦ f (n + k)) g ↔ HasProd f (g * ∏ i ∈ range k, f i) := by
refine Iff.trans ?_ (range k).hasProd_compl_iff
rw [← (notMemRangeEquiv k).symm.hasProd_iff, Function.comp_def, coe_notMemRangeEquiv_symm]
#align has_sum_nat_add_iff hasSum_nat_add_iff
@[to_additive]
theorem multipliable_nat_add_iff {f : ℕ → G} (k : ℕ) :
(Multipliable fun n ↦ f (n + k)) ↔ Multipliable f :=
Iff.symm <|
(Equiv.mulRight (∏ i ∈ range k, f i)).surjective.multipliable_iff_of_hasProd_iff
(hasProd_nat_add_iff k).symm
#align summable_nat_add_iff summable_nat_add_iff
@[to_additive]
theorem hasProd_nat_add_iff' {f : ℕ → G} (k : ℕ) :
HasProd (fun n ↦ f (n + k)) (g / ∏ i ∈ range k, f i) ↔ HasProd f g := by
simp [hasProd_nat_add_iff]
#align has_sum_nat_add_iff' hasSum_nat_add_iff'
@[to_additive]
theorem prod_mul_tprod_nat_add [T2Space G] {f : ℕ → G} (k : ℕ) (h : Multipliable f) :
((∏ i ∈ range k, f i) * ∏' i, f (i + k)) = ∏' i, f i :=
prod_mul_tprod_nat_mul' <| (multipliable_nat_add_iff k).2 h
#align sum_add_tsum_nat_add sum_add_tsum_nat_add
@[to_additive]
theorem tprod_eq_zero_mul [T2Space G] {f : ℕ → G} (hf : Multipliable f) :
∏' b, f b = f 0 * ∏' b, f (b + 1) :=
tprod_eq_zero_mul' <| (multipliable_nat_add_iff 1).2 hf
#align tsum_eq_zero_add tsum_eq_zero_add
/-- For `f : ℕ → G`, the product `∏' k, f (k + i)` tends to one. This does not require a
multipliability assumption on `f`, as otherwise all such products are one. -/
@[to_additive "For `f : ℕ → G`, the sum `∑' k, f (k + i)` tends to zero. This does not require a
summability assumption on `f`, as otherwise all such sums are zero."]
theorem tendsto_prod_nat_add [T2Space G] (f : ℕ → G) :
Tendsto (fun i ↦ ∏' k, f (k + i)) atTop (𝓝 1) := by
by_cases hf : Multipliable f
· have h₀ : (fun i ↦ (∏' i, f i) / ∏ j ∈ range i, f j) = fun i ↦ ∏' k : ℕ, f (k + i) := by
ext1 i
rw [div_eq_iff_eq_mul, mul_comm, prod_mul_tprod_nat_add i hf]
have h₁ : Tendsto (fun _ : ℕ ↦ ∏' i, f i) atTop (𝓝 (∏' i, f i)) := tendsto_const_nhds
simpa only [h₀, div_self'] using Tendsto.div' h₁ hf.hasProd.tendsto_prod_nat
· refine tendsto_const_nhds.congr fun n ↦ (tprod_eq_one_of_not_multipliable ?_).symm
rwa [multipliable_nat_add_iff n]
#align tendsto_sum_nat_add tendsto_sum_nat_add
end TopologicalGroup
section UniformGroup
variable [UniformSpace G] [UniformGroup G]
@[to_additive]
theorem cauchySeq_finset_iff_nat_tprod_vanishing {f : ℕ → G} :
(CauchySeq fun s : Finset ℕ ↦ ∏ n ∈ s, f n) ↔
∀ e ∈ 𝓝 (1 : G), ∃ N : ℕ, ∀ t ⊆ {n | N ≤ n}, (∏' n : t, f n) ∈ e := by
refine cauchySeq_finset_iff_tprod_vanishing.trans ⟨fun vanish e he ↦ ?_, fun vanish e he ↦ ?_⟩
· obtain ⟨s, hs⟩ := vanish e he
refine ⟨if h : s.Nonempty then s.max' h + 1 else 0,
fun t ht ↦ hs _ <| Set.disjoint_left.mpr ?_⟩
split_ifs at ht with h
· exact fun m hmt hms ↦ (s.le_max' _ hms).not_lt (Nat.succ_le_iff.mp <| ht hmt)
· exact fun _ _ hs ↦ h ⟨_, hs⟩
· obtain ⟨N, hN⟩ := vanish e he
exact ⟨range N, fun t ht ↦ hN _ fun n hnt ↦
le_of_not_lt fun h ↦ Set.disjoint_left.mp ht hnt (mem_range.mpr h)⟩
variable [CompleteSpace G]
@[to_additive]
theorem multipliable_iff_nat_tprod_vanishing {f : ℕ → G} : Multipliable f ↔
∀ e ∈ 𝓝 1, ∃ N : ℕ, ∀ t ⊆ {n | N ≤ n}, (∏' n : t, f n) ∈ e := by
rw [multipliable_iff_cauchySeq_finset, cauchySeq_finset_iff_nat_tprod_vanishing]
end UniformGroup
section TopologicalGroup
variable [TopologicalSpace G] [TopologicalGroup G]
@[to_additive]
theorem Multipliable.nat_tprod_vanishing {f : ℕ → G} (hf : Multipliable f) ⦃e : Set G⦄
(he : e ∈ 𝓝 1) : ∃ N : ℕ, ∀ t ⊆ {n | N ≤ n}, (∏' n : t, f n) ∈ e :=
letI : UniformSpace G := TopologicalGroup.toUniformSpace G
have : UniformGroup G := comm_topologicalGroup_is_uniform
cauchySeq_finset_iff_nat_tprod_vanishing.1 hf.hasProd.cauchySeq e he
@[to_additive]
| Mathlib/Topology/Algebra/InfiniteSum/NatInt.lean | 308 | 311 | theorem Multipliable.tendsto_atTop_one {f : ℕ → G} (hf : Multipliable f) :
Tendsto f atTop (𝓝 1) := by |
rw [← Nat.cofinite_eq_atTop]
exact hf.tendsto_cofinite_one
|
/-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Bryan Gin-ge Chen
-/
import Mathlib.Order.Heyting.Basic
#align_import order.boolean_algebra from "leanprover-community/mathlib"@"9ac7c0c8c4d7a535ec3e5b34b8859aab9233b2f4"
/-!
# (Generalized) Boolean algebras
A Boolean algebra is a bounded distributive lattice with a complement operator. Boolean algebras
generalize the (classical) logic of propositions and the lattice of subsets of a set.
Generalized Boolean algebras may be less familiar, but they are essentially Boolean algebras which
do not necessarily have a top element (`⊤`) (and hence not all elements may have complements). One
example in mathlib is `Finset α`, the type of all finite subsets of an arbitrary
(not-necessarily-finite) type `α`.
`GeneralizedBooleanAlgebra α` is defined to be a distributive lattice with bottom (`⊥`) admitting
a *relative* complement operator, written using "set difference" notation as `x \ y` (`sdiff x y`).
For convenience, the `BooleanAlgebra` type class is defined to extend `GeneralizedBooleanAlgebra`
so that it is also bundled with a `\` operator.
(A terminological point: `x \ y` is the complement of `y` relative to the interval `[⊥, x]`. We do
not yet have relative complements for arbitrary intervals, as we do not even have lattice
intervals.)
## Main declarations
* `GeneralizedBooleanAlgebra`: a type class for generalized Boolean algebras
* `BooleanAlgebra`: a type class for Boolean algebras.
* `Prop.booleanAlgebra`: the Boolean algebra instance on `Prop`
## Implementation notes
The `sup_inf_sdiff` and `inf_inf_sdiff` axioms for the relative complement operator in
`GeneralizedBooleanAlgebra` are taken from
[Wikipedia](https://en.wikipedia.org/wiki/Boolean_algebra_(structure)#Generalizations).
[Stone's paper introducing generalized Boolean algebras][Stone1935] does not define a relative
complement operator `a \ b` for all `a`, `b`. Instead, the postulates there amount to an assumption
that for all `a, b : α` where `a ≤ b`, the equations `x ⊔ a = b` and `x ⊓ a = ⊥` have a solution
`x`. `Disjoint.sdiff_unique` proves that this `x` is in fact `b \ a`.
## References
* <https://en.wikipedia.org/wiki/Boolean_algebra_(structure)#Generalizations>
* [*Postulates for Boolean Algebras and Generalized Boolean Algebras*, M.H. Stone][Stone1935]
* [*Lattice Theory: Foundation*, George Grätzer][Gratzer2011]
## Tags
generalized Boolean algebras, Boolean algebras, lattices, sdiff, compl
-/
open Function OrderDual
universe u v
variable {α : Type u} {β : Type*} {w x y z : α}
/-!
### Generalized Boolean algebras
Some of the lemmas in this section are from:
* [*Lattice Theory: Foundation*, George Grätzer][Gratzer2011]
* <https://ncatlab.org/nlab/show/relative+complement>
* <https://people.math.gatech.edu/~mccuan/courses/4317/symmetricdifference.pdf>
-/
/-- A generalized Boolean algebra is a distributive lattice with `⊥` and a relative complement
operation `\` (called `sdiff`, after "set difference") satisfying `(a ⊓ b) ⊔ (a \ b) = a` and
`(a ⊓ b) ⊓ (a \ b) = ⊥`, i.e. `a \ b` is the complement of `b` in `a`.
This is a generalization of Boolean algebras which applies to `Finset α` for arbitrary
(not-necessarily-`Fintype`) `α`. -/
class GeneralizedBooleanAlgebra (α : Type u) extends DistribLattice α, SDiff α, Bot α where
/-- For any `a`, `b`, `(a ⊓ b) ⊔ (a / b) = a` -/
sup_inf_sdiff : ∀ a b : α, a ⊓ b ⊔ a \ b = a
/-- For any `a`, `b`, `(a ⊓ b) ⊓ (a / b) = ⊥` -/
inf_inf_sdiff : ∀ a b : α, a ⊓ b ⊓ a \ b = ⊥
#align generalized_boolean_algebra GeneralizedBooleanAlgebra
-- We might want an `IsCompl_of` predicate (for relative complements) generalizing `IsCompl`,
-- however we'd need another type class for lattices with bot, and all the API for that.
section GeneralizedBooleanAlgebra
variable [GeneralizedBooleanAlgebra α]
@[simp]
theorem sup_inf_sdiff (x y : α) : x ⊓ y ⊔ x \ y = x :=
GeneralizedBooleanAlgebra.sup_inf_sdiff _ _
#align sup_inf_sdiff sup_inf_sdiff
@[simp]
theorem inf_inf_sdiff (x y : α) : x ⊓ y ⊓ x \ y = ⊥ :=
GeneralizedBooleanAlgebra.inf_inf_sdiff _ _
#align inf_inf_sdiff inf_inf_sdiff
@[simp]
theorem sup_sdiff_inf (x y : α) : x \ y ⊔ x ⊓ y = x := by rw [sup_comm, sup_inf_sdiff]
#align sup_sdiff_inf sup_sdiff_inf
@[simp]
theorem inf_sdiff_inf (x y : α) : x \ y ⊓ (x ⊓ y) = ⊥ := by rw [inf_comm, inf_inf_sdiff]
#align inf_sdiff_inf inf_sdiff_inf
-- see Note [lower instance priority]
instance (priority := 100) GeneralizedBooleanAlgebra.toOrderBot : OrderBot α where
__ := GeneralizedBooleanAlgebra.toBot
bot_le a := by
rw [← inf_inf_sdiff a a, inf_assoc]
exact inf_le_left
#align generalized_boolean_algebra.to_order_bot GeneralizedBooleanAlgebra.toOrderBot
theorem disjoint_inf_sdiff : Disjoint (x ⊓ y) (x \ y) :=
disjoint_iff_inf_le.mpr (inf_inf_sdiff x y).le
#align disjoint_inf_sdiff disjoint_inf_sdiff
-- TODO: in distributive lattices, relative complements are unique when they exist
theorem sdiff_unique (s : x ⊓ y ⊔ z = x) (i : x ⊓ y ⊓ z = ⊥) : x \ y = z := by
conv_rhs at s => rw [← sup_inf_sdiff x y, sup_comm]
rw [sup_comm] at s
conv_rhs at i => rw [← inf_inf_sdiff x y, inf_comm]
rw [inf_comm] at i
exact (eq_of_inf_eq_sup_eq i s).symm
#align sdiff_unique sdiff_unique
-- Use `sdiff_le`
private theorem sdiff_le' : x \ y ≤ x :=
calc
x \ y ≤ x ⊓ y ⊔ x \ y := le_sup_right
_ = x := sup_inf_sdiff x y
-- Use `sdiff_sup_self`
private theorem sdiff_sup_self' : y \ x ⊔ x = y ⊔ x :=
calc
y \ x ⊔ x = y \ x ⊔ (x ⊔ x ⊓ y) := by rw [sup_inf_self]
_ = y ⊓ x ⊔ y \ x ⊔ x := by ac_rfl
_ = y ⊔ x := by rw [sup_inf_sdiff]
@[simp]
theorem sdiff_inf_sdiff : x \ y ⊓ y \ x = ⊥ :=
Eq.symm <|
calc
⊥ = x ⊓ y ⊓ x \ y := by rw [inf_inf_sdiff]
_ = x ⊓ (y ⊓ x ⊔ y \ x) ⊓ x \ y := by rw [sup_inf_sdiff]
_ = (x ⊓ (y ⊓ x) ⊔ x ⊓ y \ x) ⊓ x \ y := by rw [inf_sup_left]
_ = (y ⊓ (x ⊓ x) ⊔ x ⊓ y \ x) ⊓ x \ y := by ac_rfl
_ = (y ⊓ x ⊔ x ⊓ y \ x) ⊓ x \ y := by rw [inf_idem]
_ = x ⊓ y ⊓ x \ y ⊔ x ⊓ y \ x ⊓ x \ y := by rw [inf_sup_right, inf_comm x y]
_ = x ⊓ y \ x ⊓ x \ y := by rw [inf_inf_sdiff, bot_sup_eq]
_ = x ⊓ x \ y ⊓ y \ x := by ac_rfl
_ = x \ y ⊓ y \ x := by rw [inf_of_le_right sdiff_le']
#align sdiff_inf_sdiff sdiff_inf_sdiff
theorem disjoint_sdiff_sdiff : Disjoint (x \ y) (y \ x) :=
disjoint_iff_inf_le.mpr sdiff_inf_sdiff.le
#align disjoint_sdiff_sdiff disjoint_sdiff_sdiff
@[simp]
theorem inf_sdiff_self_right : x ⊓ y \ x = ⊥ :=
calc
x ⊓ y \ x = (x ⊓ y ⊔ x \ y) ⊓ y \ x := by rw [sup_inf_sdiff]
_ = x ⊓ y ⊓ y \ x ⊔ x \ y ⊓ y \ x := by rw [inf_sup_right]
_ = ⊥ := by rw [inf_comm x y, inf_inf_sdiff, sdiff_inf_sdiff, bot_sup_eq]
#align inf_sdiff_self_right inf_sdiff_self_right
@[simp]
theorem inf_sdiff_self_left : y \ x ⊓ x = ⊥ := by rw [inf_comm, inf_sdiff_self_right]
#align inf_sdiff_self_left inf_sdiff_self_left
-- see Note [lower instance priority]
instance (priority := 100) GeneralizedBooleanAlgebra.toGeneralizedCoheytingAlgebra :
GeneralizedCoheytingAlgebra α where
__ := ‹GeneralizedBooleanAlgebra α›
__ := GeneralizedBooleanAlgebra.toOrderBot
sdiff := (· \ ·)
sdiff_le_iff y x z :=
⟨fun h =>
le_of_inf_le_sup_le
(le_of_eq
(calc
y ⊓ y \ x = y \ x := inf_of_le_right sdiff_le'
_ = x ⊓ y \ x ⊔ z ⊓ y \ x := by
rw [inf_eq_right.2 h, inf_sdiff_self_right, bot_sup_eq]
_ = (x ⊔ z) ⊓ y \ x := by rw [← inf_sup_right]))
(calc
y ⊔ y \ x = y := sup_of_le_left sdiff_le'
_ ≤ y ⊔ (x ⊔ z) := le_sup_left
_ = y \ x ⊔ x ⊔ z := by rw [← sup_assoc, ← @sdiff_sup_self' _ x y]
_ = x ⊔ z ⊔ y \ x := by ac_rfl),
fun h =>
le_of_inf_le_sup_le
(calc
y \ x ⊓ x = ⊥ := inf_sdiff_self_left
_ ≤ z ⊓ x := bot_le)
(calc
y \ x ⊔ x = y ⊔ x := sdiff_sup_self'
_ ≤ x ⊔ z ⊔ x := sup_le_sup_right h x
_ ≤ z ⊔ x := by rw [sup_assoc, sup_comm, sup_assoc, sup_idem])⟩
#align generalized_boolean_algebra.to_generalized_coheyting_algebra GeneralizedBooleanAlgebra.toGeneralizedCoheytingAlgebra
theorem disjoint_sdiff_self_left : Disjoint (y \ x) x :=
disjoint_iff_inf_le.mpr inf_sdiff_self_left.le
#align disjoint_sdiff_self_left disjoint_sdiff_self_left
theorem disjoint_sdiff_self_right : Disjoint x (y \ x) :=
disjoint_iff_inf_le.mpr inf_sdiff_self_right.le
#align disjoint_sdiff_self_right disjoint_sdiff_self_right
lemma le_sdiff : x ≤ y \ z ↔ x ≤ y ∧ Disjoint x z :=
⟨fun h ↦ ⟨h.trans sdiff_le, disjoint_sdiff_self_left.mono_left h⟩, fun h ↦
by rw [← h.2.sdiff_eq_left]; exact sdiff_le_sdiff_right h.1⟩
#align le_sdiff le_sdiff
@[simp] lemma sdiff_eq_left : x \ y = x ↔ Disjoint x y :=
⟨fun h ↦ disjoint_sdiff_self_left.mono_left h.ge, Disjoint.sdiff_eq_left⟩
#align sdiff_eq_left sdiff_eq_left
/- TODO: we could make an alternative constructor for `GeneralizedBooleanAlgebra` using
`Disjoint x (y \ x)` and `x ⊔ (y \ x) = y` as axioms. -/
theorem Disjoint.sdiff_eq_of_sup_eq (hi : Disjoint x z) (hs : x ⊔ z = y) : y \ x = z :=
have h : y ⊓ x = x := inf_eq_right.2 <| le_sup_left.trans hs.le
sdiff_unique (by rw [h, hs]) (by rw [h, hi.eq_bot])
#align disjoint.sdiff_eq_of_sup_eq Disjoint.sdiff_eq_of_sup_eq
protected theorem Disjoint.sdiff_unique (hd : Disjoint x z) (hz : z ≤ y) (hs : y ≤ x ⊔ z) :
y \ x = z :=
sdiff_unique
(by
rw [← inf_eq_right] at hs
rwa [sup_inf_right, inf_sup_right, sup_comm x, inf_sup_self, inf_comm, sup_comm z,
hs, sup_eq_left])
(by rw [inf_assoc, hd.eq_bot, inf_bot_eq])
#align disjoint.sdiff_unique Disjoint.sdiff_unique
-- cf. `IsCompl.disjoint_left_iff` and `IsCompl.disjoint_right_iff`
theorem disjoint_sdiff_iff_le (hz : z ≤ y) (hx : x ≤ y) : Disjoint z (y \ x) ↔ z ≤ x :=
⟨fun H =>
le_of_inf_le_sup_le (le_trans H.le_bot bot_le)
(by
rw [sup_sdiff_cancel_right hx]
refine le_trans (sup_le_sup_left sdiff_le z) ?_
rw [sup_eq_right.2 hz]),
fun H => disjoint_sdiff_self_right.mono_left H⟩
#align disjoint_sdiff_iff_le disjoint_sdiff_iff_le
-- cf. `IsCompl.le_left_iff` and `IsCompl.le_right_iff`
theorem le_iff_disjoint_sdiff (hz : z ≤ y) (hx : x ≤ y) : z ≤ x ↔ Disjoint z (y \ x) :=
(disjoint_sdiff_iff_le hz hx).symm
#align le_iff_disjoint_sdiff le_iff_disjoint_sdiff
-- cf. `IsCompl.inf_left_eq_bot_iff` and `IsCompl.inf_right_eq_bot_iff`
theorem inf_sdiff_eq_bot_iff (hz : z ≤ y) (hx : x ≤ y) : z ⊓ y \ x = ⊥ ↔ z ≤ x := by
rw [← disjoint_iff]
exact disjoint_sdiff_iff_le hz hx
#align inf_sdiff_eq_bot_iff inf_sdiff_eq_bot_iff
-- cf. `IsCompl.left_le_iff` and `IsCompl.right_le_iff`
theorem le_iff_eq_sup_sdiff (hz : z ≤ y) (hx : x ≤ y) : x ≤ z ↔ y = z ⊔ y \ x :=
⟨fun H => by
apply le_antisymm
· conv_lhs => rw [← sup_inf_sdiff y x]
apply sup_le_sup_right
rwa [inf_eq_right.2 hx]
· apply le_trans
· apply sup_le_sup_right hz
· rw [sup_sdiff_left],
fun H => by
conv_lhs at H => rw [← sup_sdiff_cancel_right hx]
refine le_of_inf_le_sup_le ?_ H.le
rw [inf_sdiff_self_right]
exact bot_le⟩
#align le_iff_eq_sup_sdiff le_iff_eq_sup_sdiff
-- cf. `IsCompl.sup_inf`
theorem sdiff_sup : y \ (x ⊔ z) = y \ x ⊓ y \ z :=
sdiff_unique
(calc
y ⊓ (x ⊔ z) ⊔ y \ x ⊓ y \ z = (y ⊓ (x ⊔ z) ⊔ y \ x) ⊓ (y ⊓ (x ⊔ z) ⊔ y \ z) := by
rw [sup_inf_left]
_ = (y ⊓ x ⊔ y ⊓ z ⊔ y \ x) ⊓ (y ⊓ x ⊔ y ⊓ z ⊔ y \ z) := by rw [@inf_sup_left _ _ y]
_ = (y ⊓ z ⊔ (y ⊓ x ⊔ y \ x)) ⊓ (y ⊓ x ⊔ (y ⊓ z ⊔ y \ z)) := by ac_rfl
_ = (y ⊓ z ⊔ y) ⊓ (y ⊓ x ⊔ y) := by rw [sup_inf_sdiff, sup_inf_sdiff]
_ = (y ⊔ y ⊓ z) ⊓ (y ⊔ y ⊓ x) := by ac_rfl
_ = y := by rw [sup_inf_self, sup_inf_self, inf_idem])
(calc
y ⊓ (x ⊔ z) ⊓ (y \ x ⊓ y \ z) = (y ⊓ x ⊔ y ⊓ z) ⊓ (y \ x ⊓ y \ z) := by rw [inf_sup_left]
_ = y ⊓ x ⊓ (y \ x ⊓ y \ z) ⊔ y ⊓ z ⊓ (y \ x ⊓ y \ z) := by rw [inf_sup_right]
_ = y ⊓ x ⊓ y \ x ⊓ y \ z ⊔ y \ x ⊓ (y \ z ⊓ (y ⊓ z)) := by ac_rfl
_ = ⊥ := by rw [inf_inf_sdiff, bot_inf_eq, bot_sup_eq, inf_comm (y \ z),
inf_inf_sdiff, inf_bot_eq])
#align sdiff_sup sdiff_sup
theorem sdiff_eq_sdiff_iff_inf_eq_inf : y \ x = y \ z ↔ y ⊓ x = y ⊓ z :=
⟨fun h => eq_of_inf_eq_sup_eq (by rw [inf_inf_sdiff, h, inf_inf_sdiff])
(by rw [sup_inf_sdiff, h, sup_inf_sdiff]),
fun h => by rw [← sdiff_inf_self_right, ← sdiff_inf_self_right z y, inf_comm, h, inf_comm]⟩
#align sdiff_eq_sdiff_iff_inf_eq_inf sdiff_eq_sdiff_iff_inf_eq_inf
theorem sdiff_eq_self_iff_disjoint : x \ y = x ↔ Disjoint y x :=
calc
x \ y = x ↔ x \ y = x \ ⊥ := by rw [sdiff_bot]
_ ↔ x ⊓ y = x ⊓ ⊥ := sdiff_eq_sdiff_iff_inf_eq_inf
_ ↔ Disjoint y x := by rw [inf_bot_eq, inf_comm, disjoint_iff]
#align sdiff_eq_self_iff_disjoint sdiff_eq_self_iff_disjoint
theorem sdiff_eq_self_iff_disjoint' : x \ y = x ↔ Disjoint x y := by
rw [sdiff_eq_self_iff_disjoint, disjoint_comm]
#align sdiff_eq_self_iff_disjoint' sdiff_eq_self_iff_disjoint'
theorem sdiff_lt (hx : y ≤ x) (hy : y ≠ ⊥) : x \ y < x := by
refine sdiff_le.lt_of_ne fun h => hy ?_
rw [sdiff_eq_self_iff_disjoint', disjoint_iff] at h
rw [← h, inf_eq_right.mpr hx]
#align sdiff_lt sdiff_lt
@[simp]
theorem le_sdiff_iff : x ≤ y \ x ↔ x = ⊥ :=
⟨fun h => disjoint_self.1 (disjoint_sdiff_self_right.mono_right h), fun h => h.le.trans bot_le⟩
#align le_sdiff_iff le_sdiff_iff
@[simp] lemma sdiff_eq_right : x \ y = y ↔ x = ⊥ ∧ y = ⊥ := by
rw [disjoint_sdiff_self_left.eq_iff]; aesop
lemma sdiff_ne_right : x \ y ≠ y ↔ x ≠ ⊥ ∨ y ≠ ⊥ := sdiff_eq_right.not.trans not_and_or
theorem sdiff_lt_sdiff_right (h : x < y) (hz : z ≤ x) : x \ z < y \ z :=
(sdiff_le_sdiff_right h.le).lt_of_not_le
fun h' => h.not_le <| le_sdiff_sup.trans <| sup_le_of_le_sdiff_right h' hz
#align sdiff_lt_sdiff_right sdiff_lt_sdiff_right
theorem sup_inf_inf_sdiff : x ⊓ y ⊓ z ⊔ y \ z = x ⊓ y ⊔ y \ z :=
calc
x ⊓ y ⊓ z ⊔ y \ z = x ⊓ (y ⊓ z) ⊔ y \ z := by rw [inf_assoc]
_ = (x ⊔ y \ z) ⊓ y := by rw [sup_inf_right, sup_inf_sdiff]
_ = x ⊓ y ⊔ y \ z := by rw [inf_sup_right, inf_sdiff_left]
#align sup_inf_inf_sdiff sup_inf_inf_sdiff
theorem sdiff_sdiff_right : x \ (y \ z) = x \ y ⊔ x ⊓ y ⊓ z := by
rw [sup_comm, inf_comm, ← inf_assoc, sup_inf_inf_sdiff]
apply sdiff_unique
· calc
x ⊓ y \ z ⊔ (z ⊓ x ⊔ x \ y) = (x ⊔ (z ⊓ x ⊔ x \ y)) ⊓ (y \ z ⊔ (z ⊓ x ⊔ x \ y)) := by
rw [sup_inf_right]
_ = (x ⊔ x ⊓ z ⊔ x \ y) ⊓ (y \ z ⊔ (x ⊓ z ⊔ x \ y)) := by ac_rfl
_ = x ⊓ (y \ z ⊔ x ⊓ z ⊔ x \ y) := by rw [sup_inf_self, sup_sdiff_left, ← sup_assoc]
_ = x ⊓ (y \ z ⊓ (z ⊔ y) ⊔ x ⊓ (z ⊔ y) ⊔ x \ y) := by
rw [sup_inf_left, sdiff_sup_self', inf_sup_right, sup_comm y]
_ = x ⊓ (y \ z ⊔ (x ⊓ z ⊔ x ⊓ y) ⊔ x \ y) := by
rw [inf_sdiff_sup_right, @inf_sup_left _ _ x z y]
_ = x ⊓ (y \ z ⊔ (x ⊓ z ⊔ (x ⊓ y ⊔ x \ y))) := by ac_rfl
_ = x ⊓ (y \ z ⊔ (x ⊔ x ⊓ z)) := by rw [sup_inf_sdiff, sup_comm (x ⊓ z)]
_ = x := by rw [sup_inf_self, sup_comm, inf_sup_self]
· calc
x ⊓ y \ z ⊓ (z ⊓ x ⊔ x \ y) = x ⊓ y \ z ⊓ (z ⊓ x) ⊔ x ⊓ y \ z ⊓ x \ y := by rw [inf_sup_left]
_ = x ⊓ (y \ z ⊓ z ⊓ x) ⊔ x ⊓ y \ z ⊓ x \ y := by ac_rfl
_ = x ⊓ y \ z ⊓ x \ y := by rw [inf_sdiff_self_left, bot_inf_eq, inf_bot_eq, bot_sup_eq]
_ = x ⊓ (y \ z ⊓ y) ⊓ x \ y := by conv_lhs => rw [← inf_sdiff_left]
_ = x ⊓ (y \ z ⊓ (y ⊓ x \ y)) := by ac_rfl
_ = ⊥ := by rw [inf_sdiff_self_right, inf_bot_eq, inf_bot_eq]
#align sdiff_sdiff_right sdiff_sdiff_right
theorem sdiff_sdiff_right' : x \ (y \ z) = x \ y ⊔ x ⊓ z :=
calc
x \ (y \ z) = x \ y ⊔ x ⊓ y ⊓ z := sdiff_sdiff_right
_ = z ⊓ x ⊓ y ⊔ x \ y := by ac_rfl
_ = x \ y ⊔ x ⊓ z := by rw [sup_inf_inf_sdiff, sup_comm, inf_comm]
#align sdiff_sdiff_right' sdiff_sdiff_right'
theorem sdiff_sdiff_eq_sdiff_sup (h : z ≤ x) : x \ (y \ z) = x \ y ⊔ z := by
rw [sdiff_sdiff_right', inf_eq_right.2 h]
#align sdiff_sdiff_eq_sdiff_sup sdiff_sdiff_eq_sdiff_sup
@[simp]
theorem sdiff_sdiff_right_self : x \ (x \ y) = x ⊓ y := by
rw [sdiff_sdiff_right, inf_idem, sdiff_self, bot_sup_eq]
#align sdiff_sdiff_right_self sdiff_sdiff_right_self
theorem sdiff_sdiff_eq_self (h : y ≤ x) : x \ (x \ y) = y := by
rw [sdiff_sdiff_right_self, inf_of_le_right h]
#align sdiff_sdiff_eq_self sdiff_sdiff_eq_self
theorem sdiff_eq_symm (hy : y ≤ x) (h : x \ y = z) : x \ z = y := by
rw [← h, sdiff_sdiff_eq_self hy]
#align sdiff_eq_symm sdiff_eq_symm
theorem sdiff_eq_comm (hy : y ≤ x) (hz : z ≤ x) : x \ y = z ↔ x \ z = y :=
⟨sdiff_eq_symm hy, sdiff_eq_symm hz⟩
#align sdiff_eq_comm sdiff_eq_comm
theorem eq_of_sdiff_eq_sdiff (hxz : x ≤ z) (hyz : y ≤ z) (h : z \ x = z \ y) : x = y := by
rw [← sdiff_sdiff_eq_self hxz, h, sdiff_sdiff_eq_self hyz]
#align eq_of_sdiff_eq_sdiff eq_of_sdiff_eq_sdiff
theorem sdiff_sdiff_left' : (x \ y) \ z = x \ y ⊓ x \ z := by rw [sdiff_sdiff_left, sdiff_sup]
#align sdiff_sdiff_left' sdiff_sdiff_left'
theorem sdiff_sdiff_sup_sdiff : z \ (x \ y ⊔ y \ x) = z ⊓ (z \ x ⊔ y) ⊓ (z \ y ⊔ x) :=
calc
z \ (x \ y ⊔ y \ x) = (z \ x ⊔ z ⊓ x ⊓ y) ⊓ (z \ y ⊔ z ⊓ y ⊓ x) := by
rw [sdiff_sup, sdiff_sdiff_right, sdiff_sdiff_right]
_ = z ⊓ (z \ x ⊔ y) ⊓ (z \ y ⊔ z ⊓ y ⊓ x) := by rw [sup_inf_left, sup_comm, sup_inf_sdiff]
_ = z ⊓ (z \ x ⊔ y) ⊓ (z ⊓ (z \ y ⊔ x)) := by
rw [sup_inf_left, sup_comm (z \ y), sup_inf_sdiff]
_ = z ⊓ z ⊓ (z \ x ⊔ y) ⊓ (z \ y ⊔ x) := by ac_rfl
_ = z ⊓ (z \ x ⊔ y) ⊓ (z \ y ⊔ x) := by rw [inf_idem]
#align sdiff_sdiff_sup_sdiff sdiff_sdiff_sup_sdiff
theorem sdiff_sdiff_sup_sdiff' : z \ (x \ y ⊔ y \ x) = z ⊓ x ⊓ y ⊔ z \ x ⊓ z \ y :=
calc
z \ (x \ y ⊔ y \ x) = z \ (x \ y) ⊓ z \ (y \ x) := sdiff_sup
_ = (z \ x ⊔ z ⊓ x ⊓ y) ⊓ (z \ y ⊔ z ⊓ y ⊓ x) := by rw [sdiff_sdiff_right, sdiff_sdiff_right]
_ = (z \ x ⊔ z ⊓ y ⊓ x) ⊓ (z \ y ⊔ z ⊓ y ⊓ x) := by ac_rfl
_ = z \ x ⊓ z \ y ⊔ z ⊓ y ⊓ x := by rw [← sup_inf_right]
_ = z ⊓ x ⊓ y ⊔ z \ x ⊓ z \ y := by ac_rfl
#align sdiff_sdiff_sup_sdiff' sdiff_sdiff_sup_sdiff'
lemma sdiff_sdiff_sdiff_cancel_left (hca : z ≤ x) : (x \ y) \ (x \ z) = z \ y :=
sdiff_sdiff_sdiff_le_sdiff.antisymm <|
(disjoint_sdiff_self_right.mono_left sdiff_le).le_sdiff_of_le_left <| sdiff_le_sdiff_right hca
lemma sdiff_sdiff_sdiff_cancel_right (hcb : z ≤ y) : (x \ z) \ (y \ z) = x \ y := by
rw [le_antisymm_iff, sdiff_le_comm]
exact ⟨sdiff_sdiff_sdiff_le_sdiff,
(disjoint_sdiff_self_left.mono_right sdiff_le).le_sdiff_of_le_left <| sdiff_le_sdiff_left hcb⟩
theorem inf_sdiff : (x ⊓ y) \ z = x \ z ⊓ y \ z :=
sdiff_unique
(calc
x ⊓ y ⊓ z ⊔ x \ z ⊓ y \ z = (x ⊓ y ⊓ z ⊔ x \ z) ⊓ (x ⊓ y ⊓ z ⊔ y \ z) := by rw [sup_inf_left]
_ = (x ⊓ y ⊓ (z ⊔ x) ⊔ x \ z) ⊓ (x ⊓ y ⊓ z ⊔ y \ z) := by
rw [sup_inf_right, sup_sdiff_self_right, inf_sup_right, inf_sdiff_sup_right]
_ = (y ⊓ (x ⊓ (x ⊔ z)) ⊔ x \ z) ⊓ (x ⊓ y ⊓ z ⊔ y \ z) := by ac_rfl
_ = (y ⊓ x ⊔ x \ z) ⊓ (x ⊓ y ⊔ y \ z) := by rw [inf_sup_self, sup_inf_inf_sdiff]
_ = x ⊓ y ⊔ x \ z ⊓ y \ z := by rw [inf_comm y, sup_inf_left]
_ = x ⊓ y := sup_eq_left.2 (inf_le_inf sdiff_le sdiff_le))
(calc
x ⊓ y ⊓ z ⊓ (x \ z ⊓ y \ z) = x ⊓ y ⊓ (z ⊓ x \ z) ⊓ y \ z := by ac_rfl
_ = ⊥ := by rw [inf_sdiff_self_right, inf_bot_eq, bot_inf_eq])
#align inf_sdiff inf_sdiff
theorem inf_sdiff_assoc : (x ⊓ y) \ z = x ⊓ y \ z :=
sdiff_unique
(calc
x ⊓ y ⊓ z ⊔ x ⊓ y \ z = x ⊓ (y ⊓ z) ⊔ x ⊓ y \ z := by rw [inf_assoc]
_ = x ⊓ (y ⊓ z ⊔ y \ z) := by rw [← inf_sup_left]
_ = x ⊓ y := by rw [sup_inf_sdiff])
(calc
x ⊓ y ⊓ z ⊓ (x ⊓ y \ z) = x ⊓ x ⊓ (y ⊓ z ⊓ y \ z) := by ac_rfl
_ = ⊥ := by rw [inf_inf_sdiff, inf_bot_eq])
#align inf_sdiff_assoc inf_sdiff_assoc
theorem inf_sdiff_right_comm : x \ z ⊓ y = (x ⊓ y) \ z := by
rw [inf_comm x, inf_comm, inf_sdiff_assoc]
#align inf_sdiff_right_comm inf_sdiff_right_comm
theorem inf_sdiff_distrib_left (a b c : α) : a ⊓ b \ c = (a ⊓ b) \ (a ⊓ c) := by
rw [sdiff_inf, sdiff_eq_bot_iff.2 inf_le_left, bot_sup_eq, inf_sdiff_assoc]
#align inf_sdiff_distrib_left inf_sdiff_distrib_left
theorem inf_sdiff_distrib_right (a b c : α) : a \ b ⊓ c = (a ⊓ c) \ (b ⊓ c) := by
simp_rw [inf_comm _ c, inf_sdiff_distrib_left]
#align inf_sdiff_distrib_right inf_sdiff_distrib_right
theorem disjoint_sdiff_comm : Disjoint (x \ z) y ↔ Disjoint x (y \ z) := by
simp_rw [disjoint_iff, inf_sdiff_right_comm, inf_sdiff_assoc]
#align disjoint_sdiff_comm disjoint_sdiff_comm
theorem sup_eq_sdiff_sup_sdiff_sup_inf : x ⊔ y = x \ y ⊔ y \ x ⊔ x ⊓ y :=
Eq.symm <|
calc
x \ y ⊔ y \ x ⊔ x ⊓ y = (x \ y ⊔ y \ x ⊔ x) ⊓ (x \ y ⊔ y \ x ⊔ y) := by rw [sup_inf_left]
_ = (x \ y ⊔ x ⊔ y \ x) ⊓ (x \ y ⊔ (y \ x ⊔ y)) := by ac_rfl
_ = (x ⊔ y \ x) ⊓ (x \ y ⊔ y) := by rw [sup_sdiff_right, sup_sdiff_right]
_ = x ⊔ y := by rw [sup_sdiff_self_right, sup_sdiff_self_left, inf_idem]
#align sup_eq_sdiff_sup_sdiff_sup_inf sup_eq_sdiff_sup_sdiff_sup_inf
theorem sup_lt_of_lt_sdiff_left (h : y < z \ x) (hxz : x ≤ z) : x ⊔ y < z := by
rw [← sup_sdiff_cancel_right hxz]
refine (sup_le_sup_left h.le _).lt_of_not_le fun h' => h.not_le ?_
rw [← sdiff_idem]
exact (sdiff_le_sdiff_of_sup_le_sup_left h').trans sdiff_le
#align sup_lt_of_lt_sdiff_left sup_lt_of_lt_sdiff_left
theorem sup_lt_of_lt_sdiff_right (h : x < z \ y) (hyz : y ≤ z) : x ⊔ y < z := by
rw [← sdiff_sup_cancel hyz]
refine (sup_le_sup_right h.le _).lt_of_not_le fun h' => h.not_le ?_
rw [← sdiff_idem]
exact (sdiff_le_sdiff_of_sup_le_sup_right h').trans sdiff_le
#align sup_lt_of_lt_sdiff_right sup_lt_of_lt_sdiff_right
instance Prod.instGeneralizedBooleanAlgebra [GeneralizedBooleanAlgebra β] :
GeneralizedBooleanAlgebra (α × β) where
sup_inf_sdiff _ _ := Prod.ext (sup_inf_sdiff _ _) (sup_inf_sdiff _ _)
inf_inf_sdiff _ _ := Prod.ext (inf_inf_sdiff _ _) (inf_inf_sdiff _ _)
-- Porting note:
-- Once `pi_instance` has been ported, this is just `by pi_instance`.
instance Pi.instGeneralizedBooleanAlgebra {ι : Type*} {α : ι → Type*}
[∀ i, GeneralizedBooleanAlgebra (α i)] : GeneralizedBooleanAlgebra (∀ i, α i) where
sup_inf_sdiff := fun f g => funext fun a => sup_inf_sdiff (f a) (g a)
inf_inf_sdiff := fun f g => funext fun a => inf_inf_sdiff (f a) (g a)
#align pi.generalized_boolean_algebra Pi.instGeneralizedBooleanAlgebra
end GeneralizedBooleanAlgebra
/-!
### Boolean algebras
-/
/-- A Boolean algebra is a bounded distributive lattice with a complement operator `ᶜ` such that
`x ⊓ xᶜ = ⊥` and `x ⊔ xᶜ = ⊤`. For convenience, it must also provide a set difference operation `\`
and a Heyting implication `⇨` satisfying `x \ y = x ⊓ yᶜ` and `x ⇨ y = y ⊔ xᶜ`.
This is a generalization of (classical) logic of propositions, or the powerset lattice.
Since `BoundedOrder`, `OrderBot`, and `OrderTop` are mixins that require `LE`
to be present at define-time, the `extends` mechanism does not work with them.
Instead, we extend using the underlying `Bot` and `Top` data typeclasses, and replicate the
order axioms of those classes here. A "forgetful" instance back to `BoundedOrder` is provided.
-/
class BooleanAlgebra (α : Type u) extends
DistribLattice α, HasCompl α, SDiff α, HImp α, Top α, Bot α where
/-- The infimum of `x` and `xᶜ` is at most `⊥` -/
inf_compl_le_bot : ∀ x : α, x ⊓ xᶜ ≤ ⊥
/-- The supremum of `x` and `xᶜ` is at least `⊤` -/
top_le_sup_compl : ∀ x : α, ⊤ ≤ x ⊔ xᶜ
/-- `⊤` is the greatest element -/
le_top : ∀ a : α, a ≤ ⊤
/-- `⊥` is the least element -/
bot_le : ∀ a : α, ⊥ ≤ a
/-- `x \ y` is equal to `x ⊓ yᶜ` -/
sdiff := fun x y => x ⊓ yᶜ
/-- `x ⇨ y` is equal to `y ⊔ xᶜ` -/
himp := fun x y => y ⊔ xᶜ
/-- `x \ y` is equal to `x ⊓ yᶜ` -/
sdiff_eq : ∀ x y : α, x \ y = x ⊓ yᶜ := by aesop
/-- `x ⇨ y` is equal to `y ⊔ xᶜ` -/
himp_eq : ∀ x y : α, x ⇨ y = y ⊔ xᶜ := by aesop
#align boolean_algebra BooleanAlgebra
-- see Note [lower instance priority]
instance (priority := 100) BooleanAlgebra.toBoundedOrder [h : BooleanAlgebra α] : BoundedOrder α :=
{ h with }
#align boolean_algebra.to_bounded_order BooleanAlgebra.toBoundedOrder
-- See note [reducible non instances]
/-- A bounded generalized boolean algebra is a boolean algebra. -/
abbrev GeneralizedBooleanAlgebra.toBooleanAlgebra [GeneralizedBooleanAlgebra α] [OrderTop α] :
BooleanAlgebra α where
__ := ‹GeneralizedBooleanAlgebra α›
__ := GeneralizedBooleanAlgebra.toOrderBot
__ := ‹OrderTop α›
compl a := ⊤ \ a
inf_compl_le_bot _ := disjoint_sdiff_self_right.le_bot
top_le_sup_compl _ := le_sup_sdiff
sdiff_eq _ _ := by
-- Porting note: changed `rw` to `erw` here.
-- https://github.com/leanprover-community/mathlib4/issues/5164
erw [← inf_sdiff_assoc, inf_top_eq]
#align generalized_boolean_algebra.to_boolean_algebra GeneralizedBooleanAlgebra.toBooleanAlgebra
section BooleanAlgebra
variable [BooleanAlgebra α]
theorem inf_compl_eq_bot' : x ⊓ xᶜ = ⊥ :=
bot_unique <| BooleanAlgebra.inf_compl_le_bot x
#align inf_compl_eq_bot' inf_compl_eq_bot'
@[simp]
theorem sup_compl_eq_top : x ⊔ xᶜ = ⊤ :=
top_unique <| BooleanAlgebra.top_le_sup_compl x
#align sup_compl_eq_top sup_compl_eq_top
@[simp]
theorem compl_sup_eq_top : xᶜ ⊔ x = ⊤ := by rw [sup_comm, sup_compl_eq_top]
#align compl_sup_eq_top compl_sup_eq_top
theorem isCompl_compl : IsCompl x xᶜ :=
IsCompl.of_eq inf_compl_eq_bot' sup_compl_eq_top
#align is_compl_compl isCompl_compl
theorem sdiff_eq : x \ y = x ⊓ yᶜ :=
BooleanAlgebra.sdiff_eq x y
#align sdiff_eq sdiff_eq
theorem himp_eq : x ⇨ y = y ⊔ xᶜ :=
BooleanAlgebra.himp_eq x y
#align himp_eq himp_eq
instance (priority := 100) BooleanAlgebra.toComplementedLattice : ComplementedLattice α :=
⟨fun x => ⟨xᶜ, isCompl_compl⟩⟩
#align boolean_algebra.to_complemented_lattice BooleanAlgebra.toComplementedLattice
-- see Note [lower instance priority]
instance (priority := 100) BooleanAlgebra.toGeneralizedBooleanAlgebra :
GeneralizedBooleanAlgebra α where
__ := ‹BooleanAlgebra α›
sup_inf_sdiff a b := by rw [sdiff_eq, ← inf_sup_left, sup_compl_eq_top, inf_top_eq]
inf_inf_sdiff a b := by
rw [sdiff_eq, ← inf_inf_distrib_left, inf_compl_eq_bot', inf_bot_eq]
#align boolean_algebra.to_generalized_boolean_algebra BooleanAlgebra.toGeneralizedBooleanAlgebra
-- See note [lower instance priority]
instance (priority := 100) BooleanAlgebra.toBiheytingAlgebra : BiheytingAlgebra α where
__ := ‹BooleanAlgebra α›
__ := GeneralizedBooleanAlgebra.toGeneralizedCoheytingAlgebra
hnot := compl
le_himp_iff a b c := by rw [himp_eq, isCompl_compl.le_sup_right_iff_inf_left_le]
himp_bot _ := _root_.himp_eq.trans (bot_sup_eq _)
top_sdiff a := by rw [sdiff_eq, top_inf_eq]; rfl
#align boolean_algebra.to_biheyting_algebra BooleanAlgebra.toBiheytingAlgebra
@[simp]
theorem hnot_eq_compl : ￢x = xᶜ :=
rfl
#align hnot_eq_compl hnot_eq_compl
/- NOTE: Is this theorem needed at all or can we use `top_sdiff'`. -/
theorem top_sdiff : ⊤ \ x = xᶜ :=
top_sdiff' x
#align top_sdiff top_sdiff
theorem eq_compl_iff_isCompl : x = yᶜ ↔ IsCompl x y :=
⟨fun h => by
rw [h]
exact isCompl_compl.symm, IsCompl.eq_compl⟩
#align eq_compl_iff_is_compl eq_compl_iff_isCompl
theorem compl_eq_iff_isCompl : xᶜ = y ↔ IsCompl x y :=
⟨fun h => by
rw [← h]
exact isCompl_compl, IsCompl.compl_eq⟩
#align compl_eq_iff_is_compl compl_eq_iff_isCompl
theorem compl_eq_comm : xᶜ = y ↔ yᶜ = x := by
rw [eq_comm, compl_eq_iff_isCompl, eq_compl_iff_isCompl]
#align compl_eq_comm compl_eq_comm
theorem eq_compl_comm : x = yᶜ ↔ y = xᶜ := by
rw [eq_comm, compl_eq_iff_isCompl, eq_compl_iff_isCompl]
#align eq_compl_comm eq_compl_comm
@[simp]
theorem compl_compl (x : α) : xᶜᶜ = x :=
(@isCompl_compl _ x _).symm.compl_eq
#align compl_compl compl_compl
theorem compl_comp_compl : compl ∘ compl = @id α :=
funext compl_compl
#align compl_comp_compl compl_comp_compl
@[simp]
theorem compl_involutive : Function.Involutive (compl : α → α) :=
compl_compl
#align compl_involutive compl_involutive
theorem compl_bijective : Function.Bijective (compl : α → α) :=
compl_involutive.bijective
#align compl_bijective compl_bijective
theorem compl_surjective : Function.Surjective (compl : α → α) :=
compl_involutive.surjective
#align compl_surjective compl_surjective
theorem compl_injective : Function.Injective (compl : α → α) :=
compl_involutive.injective
#align compl_injective compl_injective
@[simp]
theorem compl_inj_iff : xᶜ = yᶜ ↔ x = y :=
compl_injective.eq_iff
#align compl_inj_iff compl_inj_iff
theorem IsCompl.compl_eq_iff (h : IsCompl x y) : zᶜ = y ↔ z = x :=
h.compl_eq ▸ compl_inj_iff
#align is_compl.compl_eq_iff IsCompl.compl_eq_iff
@[simp]
theorem compl_eq_top : xᶜ = ⊤ ↔ x = ⊥ :=
isCompl_bot_top.compl_eq_iff
#align compl_eq_top compl_eq_top
@[simp]
theorem compl_eq_bot : xᶜ = ⊥ ↔ x = ⊤ :=
isCompl_top_bot.compl_eq_iff
#align compl_eq_bot compl_eq_bot
@[simp]
theorem compl_inf : (x ⊓ y)ᶜ = xᶜ ⊔ yᶜ :=
hnot_inf_distrib _ _
#align compl_inf compl_inf
@[simp]
theorem compl_le_compl_iff_le : yᶜ ≤ xᶜ ↔ x ≤ y :=
⟨fun h => by have h := compl_le_compl h; simpa using h, compl_le_compl⟩
#align compl_le_compl_iff_le compl_le_compl_iff_le
@[simp] lemma compl_lt_compl_iff_lt : yᶜ < xᶜ ↔ x < y :=
lt_iff_lt_of_le_iff_le' compl_le_compl_iff_le compl_le_compl_iff_le
theorem compl_le_of_compl_le (h : yᶜ ≤ x) : xᶜ ≤ y := by
simpa only [compl_compl] using compl_le_compl h
#align compl_le_of_compl_le compl_le_of_compl_le
theorem compl_le_iff_compl_le : xᶜ ≤ y ↔ yᶜ ≤ x :=
⟨compl_le_of_compl_le, compl_le_of_compl_le⟩
#align compl_le_iff_compl_le compl_le_iff_compl_le
@[simp] theorem compl_le_self : xᶜ ≤ x ↔ x = ⊤ := by simpa using le_compl_self (a := xᶜ)
@[simp] theorem compl_lt_self [Nontrivial α] : xᶜ < x ↔ x = ⊤ := by
simpa using lt_compl_self (a := xᶜ)
@[simp]
theorem sdiff_compl : x \ yᶜ = x ⊓ y := by rw [sdiff_eq, compl_compl]
#align sdiff_compl sdiff_compl
instance OrderDual.instBooleanAlgebra : BooleanAlgebra αᵒᵈ where
__ := instDistribLattice α
__ := instHeytingAlgebra
sdiff_eq _ _ := @himp_eq α _ _ _
himp_eq _ _ := @sdiff_eq α _ _ _
inf_compl_le_bot a := (@codisjoint_hnot_right _ _ (ofDual a)).top_le
top_le_sup_compl a := (@disjoint_compl_right _ _ (ofDual a)).le_bot
@[simp]
theorem sup_inf_inf_compl : x ⊓ y ⊔ x ⊓ yᶜ = x := by rw [← sdiff_eq, sup_inf_sdiff _ _]
#align sup_inf_inf_compl sup_inf_inf_compl
theorem compl_sdiff : (x \ y)ᶜ = x ⇨ y := by
rw [sdiff_eq, himp_eq, compl_inf, compl_compl, sup_comm]
#align compl_sdiff compl_sdiff
@[simp]
theorem compl_himp : (x ⇨ y)ᶜ = x \ y :=
@compl_sdiff αᵒᵈ _ _ _
#align compl_himp compl_himp
theorem compl_sdiff_compl : xᶜ \ yᶜ = y \ x := by rw [sdiff_compl, sdiff_eq, inf_comm]
#align compl_sdiff_compl compl_sdiff_compl
@[simp]
theorem compl_himp_compl : xᶜ ⇨ yᶜ = y ⇨ x :=
@compl_sdiff_compl αᵒᵈ _ _ _
#align compl_himp_compl compl_himp_compl
| Mathlib/Order/BooleanAlgebra.lean | 758 | 759 | theorem disjoint_compl_left_iff : Disjoint xᶜ y ↔ y ≤ x := by |
rw [← le_compl_iff_disjoint_left, compl_compl]
|
/-
Copyright (c) 2022 Anne Baanen. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Anne Baanen
-/
import Mathlib.Algebra.Polynomial.AlgebraMap
import Mathlib.FieldTheory.Minpoly.IsIntegrallyClosed
import Mathlib.RingTheory.PowerBasis
#align_import ring_theory.is_adjoin_root from "leanprover-community/mathlib"@"f7fc89d5d5ff1db2d1242c7bb0e9062ce47ef47c"
/-!
# A predicate on adjoining roots of polynomial
This file defines a predicate `IsAdjoinRoot S f`, which states that the ring `S` can be
constructed by adjoining a specified root of the polynomial `f : R[X]` to `R`.
This predicate is useful when the same ring can be generated by adjoining the root of different
polynomials, and you want to vary which polynomial you're considering.
The results in this file are intended to mirror those in `RingTheory.AdjoinRoot`,
in order to provide an easier way to translate results from one to the other.
## Motivation
`AdjoinRoot` presents one construction of a ring `R[α]`. However, it is possible to obtain
rings of this form in many ways, such as `NumberField.ringOfIntegers ℚ(√-5)`,
or `Algebra.adjoin R {α, α^2}`, or `IntermediateField.adjoin R {α, 2 - α}`,
or even if we want to view `ℂ` as adjoining a root of `X^2 + 1` to `ℝ`.
## Main definitions
The two main predicates in this file are:
* `IsAdjoinRoot S f`: `S` is generated by adjoining a specified root of `f : R[X]` to `R`
* `IsAdjoinRootMonic S f`: `S` is generated by adjoining a root of the monic polynomial
`f : R[X]` to `R`
Using `IsAdjoinRoot` to map into `S`:
* `IsAdjoinRoot.map`: inclusion from `R[X]` to `S`
* `IsAdjoinRoot.root`: the specific root adjoined to `R` to give `S`
Using `IsAdjoinRoot` to map out of `S`:
* `IsAdjoinRoot.repr`: choose a non-unique representative in `R[X]`
* `IsAdjoinRoot.lift`, `IsAdjoinRoot.liftHom`: lift a morphism `R →+* T` to `S →+* T`
* `IsAdjoinRootMonic.modByMonicHom`: a unique representative in `R[X]` if `f` is monic
## Main results
* `AdjoinRoot.isAdjoinRoot` and `AdjoinRoot.isAdjoinRootMonic`:
`AdjoinRoot` satisfies the conditions on `IsAdjoinRoot`(`_monic`)
* `IsAdjoinRootMonic.powerBasis`: the `root` generates a power basis on `S` over `R`
* `IsAdjoinRoot.aequiv`: algebra isomorphism showing adjoining a root gives a unique ring
up to isomorphism
* `IsAdjoinRoot.ofEquiv`: transfer `IsAdjoinRoot` across an algebra isomorphism
* `IsAdjoinRootMonic.minpoly_eq`: the minimal polynomial of the adjoined root of `f` is equal to
`f`, if `f` is irreducible and monic, and `R` is a GCD domain
-/
open scoped Polynomial
open Polynomial
noncomputable section
universe u v
-- Porting note: this looks like something that should not be here
-- section MoveMe
--
-- end MoveMe
-- This class doesn't really make sense on a predicate
/-- `IsAdjoinRoot S f` states that the ring `S` can be constructed by adjoining a specified root
of the polynomial `f : R[X]` to `R`.
Compare `PowerBasis R S`, which does not explicitly specify which polynomial we adjoin a root of
(in particular `f` does not need to be the minimal polynomial of the root we adjoin),
and `AdjoinRoot` which constructs a new type.
This is not a typeclass because the choice of root given `S` and `f` is not unique.
-/
-- Porting note(#5171): this linter isn't ported yet.
-- @[nolint has_nonempty_instance]
structure IsAdjoinRoot {R : Type u} (S : Type v) [CommSemiring R] [Semiring S] [Algebra R S]
(f : R[X]) : Type max u v where
map : R[X] →+* S
map_surjective : Function.Surjective map
ker_map : RingHom.ker map = Ideal.span {f}
algebraMap_eq : algebraMap R S = map.comp Polynomial.C
#align is_adjoin_root IsAdjoinRoot
-- This class doesn't really make sense on a predicate
/-- `IsAdjoinRootMonic S f` states that the ring `S` can be constructed by adjoining a specified
root of the monic polynomial `f : R[X]` to `R`.
As long as `f` is monic, there is a well-defined representation of elements of `S` as polynomials
in `R[X]` of degree lower than `deg f` (see `modByMonicHom` and `coeff`). In particular,
we have `IsAdjoinRootMonic.powerBasis`.
Bundling `Monic` into this structure is very useful when working with explicit `f`s such as
`X^2 - C a * X - C b` since it saves you carrying around the proofs of monicity.
-/
-- @[nolint has_nonempty_instance] -- Porting note: This linter does not exist yet.
structure IsAdjoinRootMonic {R : Type u} (S : Type v) [CommSemiring R] [Semiring S] [Algebra R S]
(f : R[X]) extends IsAdjoinRoot S f where
Monic : Monic f
#align is_adjoin_root_monic IsAdjoinRootMonic
section Ring
variable {R : Type u} {S : Type v} [CommRing R] [Ring S] {f : R[X]} [Algebra R S]
namespace IsAdjoinRoot
/-- `(h : IsAdjoinRoot S f).root` is the root of `f` that can be adjoined to generate `S`. -/
def root (h : IsAdjoinRoot S f) : S :=
h.map X
#align is_adjoin_root.root IsAdjoinRoot.root
theorem subsingleton (h : IsAdjoinRoot S f) [Subsingleton R] : Subsingleton S :=
h.map_surjective.subsingleton
#align is_adjoin_root.subsingleton IsAdjoinRoot.subsingleton
theorem algebraMap_apply (h : IsAdjoinRoot S f) (x : R) :
algebraMap R S x = h.map (Polynomial.C x) := by rw [h.algebraMap_eq, RingHom.comp_apply]
#align is_adjoin_root.algebra_map_apply IsAdjoinRoot.algebraMap_apply
@[simp]
theorem mem_ker_map (h : IsAdjoinRoot S f) {p} : p ∈ RingHom.ker h.map ↔ f ∣ p := by
rw [h.ker_map, Ideal.mem_span_singleton]
#align is_adjoin_root.mem_ker_map IsAdjoinRoot.mem_ker_map
theorem map_eq_zero_iff (h : IsAdjoinRoot S f) {p} : h.map p = 0 ↔ f ∣ p := by
rw [← h.mem_ker_map, RingHom.mem_ker]
#align is_adjoin_root.map_eq_zero_iff IsAdjoinRoot.map_eq_zero_iff
@[simp]
theorem map_X (h : IsAdjoinRoot S f) : h.map X = h.root := rfl
set_option linter.uppercaseLean3 false in
#align is_adjoin_root.map_X IsAdjoinRoot.map_X
@[simp]
theorem map_self (h : IsAdjoinRoot S f) : h.map f = 0 := h.map_eq_zero_iff.mpr dvd_rfl
#align is_adjoin_root.map_self IsAdjoinRoot.map_self
@[simp]
theorem aeval_eq (h : IsAdjoinRoot S f) (p : R[X]) : aeval h.root p = h.map p :=
Polynomial.induction_on p (fun x => by rw [aeval_C, h.algebraMap_apply])
(fun p q ihp ihq => by rw [AlgHom.map_add, RingHom.map_add, ihp, ihq]) fun n x _ => by
rw [AlgHom.map_mul, aeval_C, AlgHom.map_pow, aeval_X, RingHom.map_mul, ← h.algebraMap_apply,
RingHom.map_pow, map_X]
#align is_adjoin_root.aeval_eq IsAdjoinRoot.aeval_eq
-- @[simp] -- Porting note (#10618): simp can prove this
theorem aeval_root (h : IsAdjoinRoot S f) : aeval h.root f = 0 := by rw [aeval_eq, map_self]
#align is_adjoin_root.aeval_root IsAdjoinRoot.aeval_root
/-- Choose an arbitrary representative so that `h.map (h.repr x) = x`.
If `f` is monic, use `IsAdjoinRootMonic.modByMonicHom` for a unique choice of representative.
-/
def repr (h : IsAdjoinRoot S f) (x : S) : R[X] :=
(h.map_surjective x).choose
#align is_adjoin_root.repr IsAdjoinRoot.repr
theorem map_repr (h : IsAdjoinRoot S f) (x : S) : h.map (h.repr x) = x :=
(h.map_surjective x).choose_spec
#align is_adjoin_root.map_repr IsAdjoinRoot.map_repr
/-- `repr` preserves zero, up to multiples of `f` -/
theorem repr_zero_mem_span (h : IsAdjoinRoot S f) : h.repr 0 ∈ Ideal.span ({f} : Set R[X]) := by
rw [← h.ker_map, RingHom.mem_ker, h.map_repr]
#align is_adjoin_root.repr_zero_mem_span IsAdjoinRoot.repr_zero_mem_span
/-- `repr` preserves addition, up to multiples of `f` -/
theorem repr_add_sub_repr_add_repr_mem_span (h : IsAdjoinRoot S f) (x y : S) :
h.repr (x + y) - (h.repr x + h.repr y) ∈ Ideal.span ({f} : Set R[X]) := by
rw [← h.ker_map, RingHom.mem_ker, map_sub, h.map_repr, map_add, h.map_repr, h.map_repr, sub_self]
#align is_adjoin_root.repr_add_sub_repr_add_repr_mem_span IsAdjoinRoot.repr_add_sub_repr_add_repr_mem_span
/-- Extensionality of the `IsAdjoinRoot` structure itself. See `IsAdjoinRootMonic.ext_elem`
for extensionality of the ring elements. -/
theorem ext_map (h h' : IsAdjoinRoot S f) (eq : ∀ x, h.map x = h'.map x) : h = h' := by
cases h; cases h'; congr
exact RingHom.ext eq
#align is_adjoin_root.ext_map IsAdjoinRoot.ext_map
/-- Extensionality of the `IsAdjoinRoot` structure itself. See `IsAdjoinRootMonic.ext_elem`
for extensionality of the ring elements. -/
@[ext]
theorem ext (h h' : IsAdjoinRoot S f) (eq : h.root = h'.root) : h = h' :=
h.ext_map h' fun x => by rw [← h.aeval_eq, ← h'.aeval_eq, eq]
#align is_adjoin_root.ext IsAdjoinRoot.ext
section lift
variable {T : Type*} [CommRing T] {i : R →+* T} {x : T} (hx : f.eval₂ i x = 0)
/-- Auxiliary lemma for `IsAdjoinRoot.lift` -/
theorem eval₂_repr_eq_eval₂_of_map_eq (h : IsAdjoinRoot S f) (z : S) (w : R[X])
(hzw : h.map w = z) : (h.repr z).eval₂ i x = w.eval₂ i x := by
rw [eq_comm, ← sub_eq_zero, ← h.map_repr z, ← map_sub, h.map_eq_zero_iff] at hzw
obtain ⟨y, hy⟩ := hzw
rw [← sub_eq_zero, ← eval₂_sub, hy, eval₂_mul, hx, zero_mul]
#align is_adjoin_root.eval₂_repr_eq_eval₂_of_map_eq IsAdjoinRoot.eval₂_repr_eq_eval₂_of_map_eq
variable (i x)
-- To match `AdjoinRoot.lift`
/-- Lift a ring homomorphism `R →+* T` to `S →+* T` by specifying a root `x` of `f` in `T`,
where `S` is given by adjoining a root of `f` to `R`. -/
def lift (h : IsAdjoinRoot S f) : S →+* T where
toFun z := (h.repr z).eval₂ i x
map_zero' := by
dsimp only -- Porting note (#10752): added `dsimp only`
rw [h.eval₂_repr_eq_eval₂_of_map_eq hx _ _ (map_zero _), eval₂_zero]
map_add' z w := by
dsimp only -- Porting note (#10752): added `dsimp only`
rw [h.eval₂_repr_eq_eval₂_of_map_eq hx _ (h.repr z + h.repr w), eval₂_add]
rw [map_add, map_repr, map_repr]
map_one' := by
beta_reduce -- Porting note (#12129): additional beta reduction needed
rw [h.eval₂_repr_eq_eval₂_of_map_eq hx _ _ (map_one _), eval₂_one]
map_mul' z w := by
dsimp only -- Porting note (#10752): added `dsimp only`
rw [h.eval₂_repr_eq_eval₂_of_map_eq hx _ (h.repr z * h.repr w), eval₂_mul]
rw [map_mul, map_repr, map_repr]
#align is_adjoin_root.lift IsAdjoinRoot.lift
variable {i x}
@[simp]
theorem lift_map (h : IsAdjoinRoot S f) (z : R[X]) : h.lift i x hx (h.map z) = z.eval₂ i x := by
rw [lift, RingHom.coe_mk]
dsimp -- Porting note (#11227):added a `dsimp`
rw [h.eval₂_repr_eq_eval₂_of_map_eq hx _ _ rfl]
#align is_adjoin_root.lift_map IsAdjoinRoot.lift_map
@[simp]
theorem lift_root (h : IsAdjoinRoot S f) : h.lift i x hx h.root = x := by
rw [← h.map_X, lift_map, eval₂_X]
#align is_adjoin_root.lift_root IsAdjoinRoot.lift_root
@[simp]
theorem lift_algebraMap (h : IsAdjoinRoot S f) (a : R) :
h.lift i x hx (algebraMap R S a) = i a := by rw [h.algebraMap_apply, lift_map, eval₂_C]
#align is_adjoin_root.lift_algebra_map IsAdjoinRoot.lift_algebraMap
/-- Auxiliary lemma for `apply_eq_lift` -/
theorem apply_eq_lift (h : IsAdjoinRoot S f) (g : S →+* T) (hmap : ∀ a, g (algebraMap R S a) = i a)
(hroot : g h.root = x) (a : S) : g a = h.lift i x hx a := by
rw [← h.map_repr a, Polynomial.as_sum_range_C_mul_X_pow (h.repr a)]
simp only [map_sum, map_mul, map_pow, h.map_X, hroot, ← h.algebraMap_apply, hmap, lift_root,
lift_algebraMap]
#align is_adjoin_root.apply_eq_lift IsAdjoinRoot.apply_eq_lift
/-- Unicity of `lift`: a map that agrees on `R` and `h.root` agrees with `lift` everywhere. -/
theorem eq_lift (h : IsAdjoinRoot S f) (g : S →+* T) (hmap : ∀ a, g (algebraMap R S a) = i a)
(hroot : g h.root = x) : g = h.lift i x hx :=
RingHom.ext (h.apply_eq_lift hx g hmap hroot)
#align is_adjoin_root.eq_lift IsAdjoinRoot.eq_lift
variable [Algebra R T] (hx' : aeval x f = 0)
variable (x)
-- To match `AdjoinRoot.liftHom`
/-- Lift the algebra map `R → T` to `S →ₐ[R] T` by specifying a root `x` of `f` in `T`,
where `S` is given by adjoining a root of `f` to `R`. -/
def liftHom (h : IsAdjoinRoot S f) : S →ₐ[R] T :=
{ h.lift (algebraMap R T) x hx' with commutes' := fun a => h.lift_algebraMap hx' a }
#align is_adjoin_root.lift_hom IsAdjoinRoot.liftHom
variable {x}
@[simp]
theorem coe_liftHom (h : IsAdjoinRoot S f) :
(h.liftHom x hx' : S →+* T) = h.lift (algebraMap R T) x hx' := rfl
#align is_adjoin_root.coe_lift_hom IsAdjoinRoot.coe_liftHom
theorem lift_algebraMap_apply (h : IsAdjoinRoot S f) (z : S) :
h.lift (algebraMap R T) x hx' z = h.liftHom x hx' z := rfl
#align is_adjoin_root.lift_algebra_map_apply IsAdjoinRoot.lift_algebraMap_apply
@[simp]
theorem liftHom_map (h : IsAdjoinRoot S f) (z : R[X]) : h.liftHom x hx' (h.map z) = aeval x z := by
rw [← lift_algebraMap_apply, lift_map, aeval_def]
#align is_adjoin_root.lift_hom_map IsAdjoinRoot.liftHom_map
@[simp]
theorem liftHom_root (h : IsAdjoinRoot S f) : h.liftHom x hx' h.root = x := by
rw [← lift_algebraMap_apply, lift_root]
#align is_adjoin_root.lift_hom_root IsAdjoinRoot.liftHom_root
/-- Unicity of `liftHom`: a map that agrees on `h.root` agrees with `liftHom` everywhere. -/
theorem eq_liftHom (h : IsAdjoinRoot S f) (g : S →ₐ[R] T) (hroot : g h.root = x) :
g = h.liftHom x hx' :=
AlgHom.ext (h.apply_eq_lift hx' g g.commutes hroot)
#align is_adjoin_root.eq_lift_hom IsAdjoinRoot.eq_liftHom
end lift
end IsAdjoinRoot
namespace AdjoinRoot
variable (f)
/-- `AdjoinRoot f` is indeed given by adjoining a root of `f`. -/
protected def isAdjoinRoot : IsAdjoinRoot (AdjoinRoot f) f where
map := AdjoinRoot.mk f
map_surjective := Ideal.Quotient.mk_surjective
ker_map := by
ext
rw [RingHom.mem_ker, ← @AdjoinRoot.mk_self _ _ f, AdjoinRoot.mk_eq_mk, Ideal.mem_span_singleton,
← dvd_add_left (dvd_refl f), sub_add_cancel]
algebraMap_eq := AdjoinRoot.algebraMap_eq f
#align adjoin_root.is_adjoin_root AdjoinRoot.isAdjoinRoot
/-- `AdjoinRoot f` is indeed given by adjoining a root of `f`. If `f` is monic this is more
powerful than `AdjoinRoot.isAdjoinRoot`. -/
protected def isAdjoinRootMonic (hf : Monic f) : IsAdjoinRootMonic (AdjoinRoot f) f :=
{ AdjoinRoot.isAdjoinRoot f with Monic := hf }
#align adjoin_root.is_adjoin_root_monic AdjoinRoot.isAdjoinRootMonic
@[simp]
theorem isAdjoinRoot_map_eq_mk : (AdjoinRoot.isAdjoinRoot f).map = AdjoinRoot.mk f :=
rfl
#align adjoin_root.is_adjoin_root_map_eq_mk AdjoinRoot.isAdjoinRoot_map_eq_mk
@[simp]
theorem isAdjoinRootMonic_map_eq_mk (hf : f.Monic) :
(AdjoinRoot.isAdjoinRootMonic f hf).map = AdjoinRoot.mk f :=
rfl
#align adjoin_root.is_adjoin_root_monic_map_eq_mk AdjoinRoot.isAdjoinRootMonic_map_eq_mk
@[simp]
theorem isAdjoinRoot_root_eq_root : (AdjoinRoot.isAdjoinRoot f).root = AdjoinRoot.root f := by
simp only [IsAdjoinRoot.root, AdjoinRoot.root, AdjoinRoot.isAdjoinRoot_map_eq_mk]
#align adjoin_root.is_adjoin_root_root_eq_root AdjoinRoot.isAdjoinRoot_root_eq_root
@[simp]
theorem isAdjoinRootMonic_root_eq_root (hf : Monic f) :
(AdjoinRoot.isAdjoinRootMonic f hf).root = AdjoinRoot.root f := by
simp only [IsAdjoinRoot.root, AdjoinRoot.root, AdjoinRoot.isAdjoinRootMonic_map_eq_mk]
#align adjoin_root.is_adjoin_root_monic_root_eq_root AdjoinRoot.isAdjoinRootMonic_root_eq_root
end AdjoinRoot
namespace IsAdjoinRootMonic
open IsAdjoinRoot
theorem map_modByMonic (h : IsAdjoinRootMonic S f) (g : R[X]) : h.map (g %ₘ f) = h.map g := by
rw [← RingHom.sub_mem_ker_iff, mem_ker_map, modByMonic_eq_sub_mul_div _ h.Monic, sub_right_comm,
sub_self, zero_sub, dvd_neg]
exact ⟨_, rfl⟩
#align is_adjoin_root_monic.map_mod_by_monic IsAdjoinRootMonic.map_modByMonic
theorem modByMonic_repr_map (h : IsAdjoinRootMonic S f) (g : R[X]) :
h.repr (h.map g) %ₘ f = g %ₘ f :=
modByMonic_eq_of_dvd_sub h.Monic <| by rw [← h.mem_ker_map, RingHom.sub_mem_ker_iff, map_repr]
#align is_adjoin_root_monic.mod_by_monic_repr_map IsAdjoinRootMonic.modByMonic_repr_map
/-- `IsAdjoinRoot.modByMonicHom` sends the equivalence class of `f` mod `g` to `f %ₘ g`. -/
def modByMonicHom (h : IsAdjoinRootMonic S f) : S →ₗ[R] R[X] where
toFun x := h.repr x %ₘ f
map_add' x y := by
conv_lhs =>
rw [← h.map_repr x, ← h.map_repr y, ← map_add]
beta_reduce -- Porting note (#12129): additional beta reduction needed
rw [h.modByMonic_repr_map, add_modByMonic]
map_smul' c x := by
rw [RingHom.id_apply, ← h.map_repr x, Algebra.smul_def, h.algebraMap_apply, ← map_mul]
dsimp only -- Porting note (#10752): added `dsimp only`
rw [h.modByMonic_repr_map, ← smul_eq_C_mul, smul_modByMonic, h.map_repr]
#align is_adjoin_root_monic.mod_by_monic_hom IsAdjoinRootMonic.modByMonicHom
@[simp]
theorem modByMonicHom_map (h : IsAdjoinRootMonic S f) (g : R[X]) :
h.modByMonicHom (h.map g) = g %ₘ f := h.modByMonic_repr_map g
#align is_adjoin_root_monic.mod_by_monic_hom_map IsAdjoinRootMonic.modByMonicHom_map
@[simp]
theorem map_modByMonicHom (h : IsAdjoinRootMonic S f) (x : S) : h.map (h.modByMonicHom x) = x := by
rw [modByMonicHom, LinearMap.coe_mk]
dsimp -- Porting note (#11227):added a `dsimp`
rw [map_modByMonic, map_repr]
#align is_adjoin_root_monic.map_mod_by_monic_hom IsAdjoinRootMonic.map_modByMonicHom
@[simp]
theorem modByMonicHom_root_pow (h : IsAdjoinRootMonic S f) {n : ℕ} (hdeg : n < natDegree f) :
h.modByMonicHom (h.root ^ n) = X ^ n := by
nontriviality R
rw [← h.map_X, ← map_pow, modByMonicHom_map, modByMonic_eq_self_iff h.Monic, degree_X_pow]
contrapose! hdeg
simpa [natDegree_le_iff_degree_le] using hdeg
#align is_adjoin_root_monic.mod_by_monic_hom_root_pow IsAdjoinRootMonic.modByMonicHom_root_pow
@[simp]
theorem modByMonicHom_root (h : IsAdjoinRootMonic S f) (hdeg : 1 < natDegree f) :
h.modByMonicHom h.root = X := by simpa using modByMonicHom_root_pow h hdeg
#align is_adjoin_root_monic.mod_by_monic_hom_root IsAdjoinRootMonic.modByMonicHom_root
/-- The basis on `S` generated by powers of `h.root`.
Auxiliary definition for `IsAdjoinRootMonic.powerBasis`. -/
def basis (h : IsAdjoinRootMonic S f) : Basis (Fin (natDegree f)) R S :=
Basis.ofRepr
{ toFun := fun x => (h.modByMonicHom x).toFinsupp.comapDomain _ Fin.val_injective.injOn
invFun := fun g => h.map (ofFinsupp (g.mapDomain _))
left_inv := fun x => by
cases subsingleton_or_nontrivial R
· haveI := h.subsingleton
exact Subsingleton.elim _ _
simp only
rw [Finsupp.mapDomain_comapDomain, Polynomial.eta, h.map_modByMonicHom x]
· exact Fin.val_injective
intro i hi
refine Set.mem_range.mpr ⟨⟨i, ?_⟩, rfl⟩
contrapose! hi
simp only [Polynomial.toFinsupp_apply, Classical.not_not, Finsupp.mem_support_iff, Ne,
modByMonicHom, LinearMap.coe_mk, Finset.mem_coe]
by_cases hx : h.toIsAdjoinRoot.repr x %ₘ f = 0
· simp [hx]
refine coeff_eq_zero_of_natDegree_lt (lt_of_lt_of_le ?_ hi)
dsimp -- Porting note (#11227):added a `dsimp`
rw [natDegree_lt_natDegree_iff hx]
exact degree_modByMonic_lt _ h.Monic
right_inv := fun g => by
nontriviality R
ext i
simp only [h.modByMonicHom_map, Finsupp.comapDomain_apply, Polynomial.toFinsupp_apply]
rw [(Polynomial.modByMonic_eq_self_iff h.Monic).mpr, Polynomial.coeff]
· dsimp only -- Porting note (#10752): added `dsimp only`
rw [Finsupp.mapDomain_apply Fin.val_injective]
rw [degree_eq_natDegree h.Monic.ne_zero, degree_lt_iff_coeff_zero]
intro m hm
rw [Polynomial.coeff]
dsimp only -- Porting note (#10752): added `dsimp only`
rw [Finsupp.mapDomain_notin_range]
rw [Set.mem_range, not_exists]
rintro i rfl
exact i.prop.not_le hm
map_add' := fun x y => by
beta_reduce -- Porting note (#12129): additional beta reduction needed
rw [map_add, toFinsupp_add, Finsupp.comapDomain_add_of_injective Fin.val_injective]
-- Porting note: the original simp proof with the same lemmas does not work
-- See https://github.com/leanprover-community/mathlib4/issues/5026
-- simp only [map_add, Finsupp.comapDomain_add_of_injective Fin.val_injective, toFinsupp_add]
map_smul' := fun c x => by
dsimp only -- Porting note (#10752): added `dsimp only`
rw [map_smul, toFinsupp_smul, Finsupp.comapDomain_smul_of_injective Fin.val_injective,
RingHom.id_apply] }
-- Porting note: the original simp proof with the same lemmas does not work
-- See https://github.com/leanprover-community/mathlib4/issues/5026
-- simp only [map_smul, Finsupp.comapDomain_smul_of_injective Fin.val_injective,
-- RingHom.id_apply, toFinsupp_smul] }
#align is_adjoin_root_monic.basis IsAdjoinRootMonic.basis
@[simp]
theorem basis_apply (h : IsAdjoinRootMonic S f) (i) : h.basis i = h.root ^ (i : ℕ) :=
Basis.apply_eq_iff.mpr <|
show (h.modByMonicHom (h.toIsAdjoinRoot.root ^ (i : ℕ))).toFinsupp.comapDomain _
Fin.val_injective.injOn = Finsupp.single _ _ by
ext j
rw [Finsupp.comapDomain_apply, modByMonicHom_root_pow]
· rw [X_pow_eq_monomial, toFinsupp_monomial, Finsupp.single_apply_left Fin.val_injective]
· exact i.is_lt
#align is_adjoin_root_monic.basis_apply IsAdjoinRootMonic.basis_apply
theorem deg_pos [Nontrivial S] (h : IsAdjoinRootMonic S f) : 0 < natDegree f := by
rcases h.basis.index_nonempty with ⟨⟨i, hi⟩⟩
exact (Nat.zero_le _).trans_lt hi
#align is_adjoin_root_monic.deg_pos IsAdjoinRootMonic.deg_pos
theorem deg_ne_zero [Nontrivial S] (h : IsAdjoinRootMonic S f) : natDegree f ≠ 0 :=
h.deg_pos.ne'
#align is_adjoin_root_monic.deg_ne_zero IsAdjoinRootMonic.deg_ne_zero
/-- If `f` is monic, the powers of `h.root` form a basis. -/
@[simps! gen dim basis]
def powerBasis (h : IsAdjoinRootMonic S f) : PowerBasis R S where
gen := h.root
dim := natDegree f
basis := h.basis
basis_eq_pow := h.basis_apply
#align is_adjoin_root_monic.power_basis IsAdjoinRootMonic.powerBasis
@[simp]
theorem basis_repr (h : IsAdjoinRootMonic S f) (x : S) (i : Fin (natDegree f)) :
h.basis.repr x i = (h.modByMonicHom x).coeff (i : ℕ) := by
change (h.modByMonicHom x).toFinsupp.comapDomain _ Fin.val_injective.injOn i = _
rw [Finsupp.comapDomain_apply, Polynomial.toFinsupp_apply]
#align is_adjoin_root_monic.basis_repr IsAdjoinRootMonic.basis_repr
theorem basis_one (h : IsAdjoinRootMonic S f) (hdeg : 1 < natDegree f) :
h.basis ⟨1, hdeg⟩ = h.root := by rw [h.basis_apply, Fin.val_mk, pow_one]
#align is_adjoin_root_monic.basis_one IsAdjoinRootMonic.basis_one
/-- `IsAdjoinRootMonic.liftPolyₗ` lifts a linear map on polynomials to a linear map on `S`. -/
@[simps!]
def liftPolyₗ {T : Type*} [AddCommGroup T] [Module R T] (h : IsAdjoinRootMonic S f)
(g : R[X] →ₗ[R] T) : S →ₗ[R] T :=
g.comp h.modByMonicHom
#align is_adjoin_root_monic.lift_polyₗ IsAdjoinRootMonic.liftPolyₗ
/-- `IsAdjoinRootMonic.coeff h x i` is the `i`th coefficient of the representative of `x : S`.
-/
def coeff (h : IsAdjoinRootMonic S f) : S →ₗ[R] ℕ → R :=
h.liftPolyₗ
{ toFun := Polynomial.coeff
map_add' := fun p q => funext (Polynomial.coeff_add p q)
map_smul' := fun c p => funext (Polynomial.coeff_smul c p) }
#align is_adjoin_root_monic.coeff IsAdjoinRootMonic.coeff
theorem coeff_apply_lt (h : IsAdjoinRootMonic S f) (z : S) (i : ℕ) (hi : i < natDegree f) :
h.coeff z i = h.basis.repr z ⟨i, hi⟩ := by
simp only [coeff, LinearMap.comp_apply, Finsupp.lcoeFun_apply, Finsupp.lmapDomain_apply,
LinearEquiv.coe_coe, liftPolyₗ_apply, LinearMap.coe_mk, h.basis_repr]
rfl
#align is_adjoin_root_monic.coeff_apply_lt IsAdjoinRootMonic.coeff_apply_lt
theorem coeff_apply_coe (h : IsAdjoinRootMonic S f) (z : S) (i : Fin (natDegree f)) :
h.coeff z i = h.basis.repr z i := h.coeff_apply_lt z i i.prop
#align is_adjoin_root_monic.coeff_apply_coe IsAdjoinRootMonic.coeff_apply_coe
theorem coeff_apply_le (h : IsAdjoinRootMonic S f) (z : S) (i : ℕ) (hi : natDegree f ≤ i) :
h.coeff z i = 0 := by
simp only [coeff, LinearMap.comp_apply, Finsupp.lcoeFun_apply, Finsupp.lmapDomain_apply,
LinearEquiv.coe_coe, liftPolyₗ_apply, LinearMap.coe_mk, h.basis_repr]
nontriviality R
exact
Polynomial.coeff_eq_zero_of_degree_lt
((degree_modByMonic_lt _ h.Monic).trans_le (Polynomial.degree_le_of_natDegree_le hi))
#align is_adjoin_root_monic.coeff_apply_le IsAdjoinRootMonic.coeff_apply_le
theorem coeff_apply (h : IsAdjoinRootMonic S f) (z : S) (i : ℕ) :
h.coeff z i = if hi : i < natDegree f then h.basis.repr z ⟨i, hi⟩ else 0 := by
split_ifs with hi
· exact h.coeff_apply_lt z i hi
· exact h.coeff_apply_le z i (le_of_not_lt hi)
#align is_adjoin_root_monic.coeff_apply IsAdjoinRootMonic.coeff_apply
theorem coeff_root_pow (h : IsAdjoinRootMonic S f) {n} (hn : n < natDegree f) :
h.coeff (h.root ^ n) = Pi.single n 1 := by
ext i
rw [coeff_apply]
split_ifs with hi
· calc
h.basis.repr (h.root ^ n) ⟨i, _⟩ = h.basis.repr (h.basis ⟨n, hn⟩) ⟨i, hi⟩ := by
rw [h.basis_apply, Fin.val_mk]
_ = Pi.single (f := fun _ => R) ((⟨n, hn⟩ : Fin _) : ℕ) (1 : (fun _ => R) n)
↑(⟨i, _⟩ : Fin _) := by
rw [h.basis.repr_self, ← Finsupp.single_eq_pi_single,
Finsupp.single_apply_left Fin.val_injective]
_ = Pi.single (f := fun _ => R) n 1 i := by rw [Fin.val_mk, Fin.val_mk]
· refine (Pi.single_eq_of_ne (f := fun _ => R) ?_ (1 : (fun _ => R) n)).symm
rintro rfl
simp [hi] at hn
#align is_adjoin_root_monic.coeff_root_pow IsAdjoinRootMonic.coeff_root_pow
theorem coeff_one [Nontrivial S] (h : IsAdjoinRootMonic S f) : h.coeff 1 = Pi.single 0 1 := by
rw [← h.coeff_root_pow h.deg_pos, pow_zero]
#align is_adjoin_root_monic.coeff_one IsAdjoinRootMonic.coeff_one
theorem coeff_root (h : IsAdjoinRootMonic S f) (hdeg : 1 < natDegree f) :
h.coeff h.root = Pi.single 1 1 := by rw [← h.coeff_root_pow hdeg, pow_one]
#align is_adjoin_root_monic.coeff_root IsAdjoinRootMonic.coeff_root
theorem coeff_algebraMap [Nontrivial S] (h : IsAdjoinRootMonic S f) (x : R) :
h.coeff (algebraMap R S x) = Pi.single 0 x := by
ext i
rw [Algebra.algebraMap_eq_smul_one, map_smul, coeff_one, Pi.smul_apply, smul_eq_mul]
refine (Pi.apply_single (fun _ y => x * y) ?_ 0 1 i).trans (by simp)
intros
simp
#align is_adjoin_root_monic.coeff_algebra_map IsAdjoinRootMonic.coeff_algebraMap
theorem ext_elem (h : IsAdjoinRootMonic S f) ⦃x y : S⦄
(hxy : ∀ i < natDegree f, h.coeff x i = h.coeff y i) : x = y :=
EquivLike.injective h.basis.equivFun <|
funext fun i => by
rw [Basis.equivFun_apply, ← h.coeff_apply_coe, Basis.equivFun_apply, ← h.coeff_apply_coe,
hxy i i.prop]
#align is_adjoin_root_monic.ext_elem IsAdjoinRootMonic.ext_elem
theorem ext_elem_iff (h : IsAdjoinRootMonic S f) {x y : S} :
x = y ↔ ∀ i < natDegree f, h.coeff x i = h.coeff y i :=
⟨fun hxy _ _=> hxy ▸ rfl, fun hxy => h.ext_elem hxy⟩
#align is_adjoin_root_monic.ext_elem_iff IsAdjoinRootMonic.ext_elem_iff
theorem coeff_injective (h : IsAdjoinRootMonic S f) : Function.Injective h.coeff := fun _ _ hxy =>
h.ext_elem fun _ _ => hxy ▸ rfl
#align is_adjoin_root_monic.coeff_injective IsAdjoinRootMonic.coeff_injective
theorem isIntegral_root (h : IsAdjoinRootMonic S f) : IsIntegral R h.root :=
⟨f, h.Monic, h.aeval_root⟩
#align is_adjoin_root_monic.is_integral_root IsAdjoinRootMonic.isIntegral_root
end IsAdjoinRootMonic
end Ring
section CommRing
variable {R : Type u} {S : Type v} [CommRing R] [CommRing S] [Algebra R S] {f : R[X]}
namespace IsAdjoinRoot
section lift
@[simp]
theorem lift_self_apply (h : IsAdjoinRoot S f) (x : S) :
h.lift (algebraMap R S) h.root h.aeval_root x = x := by
rw [← h.map_repr x, lift_map, ← aeval_def, h.aeval_eq]
#align is_adjoin_root.lift_self_apply IsAdjoinRoot.lift_self_apply
theorem lift_self (h : IsAdjoinRoot S f) :
h.lift (algebraMap R S) h.root h.aeval_root = RingHom.id S :=
RingHom.ext h.lift_self_apply
#align is_adjoin_root.lift_self IsAdjoinRoot.lift_self
end lift
section Equiv
variable {T : Type*} [CommRing T] [Algebra R T]
/-- Adjoining a root gives a unique ring up to algebra isomorphism.
This is the converse of `IsAdjoinRoot.ofEquiv`: this turns an `IsAdjoinRoot` into an
`AlgEquiv`, and `IsAdjoinRoot.ofEquiv` turns an `AlgEquiv` into an `IsAdjoinRoot`.
-/
def aequiv (h : IsAdjoinRoot S f) (h' : IsAdjoinRoot T f) : S ≃ₐ[R] T :=
{ h.liftHom h'.root h'.aeval_root with
toFun := h.liftHom h'.root h'.aeval_root
invFun := h'.liftHom h.root h.aeval_root
left_inv := fun x => by rw [← h.map_repr x, liftHom_map, aeval_eq, liftHom_map, aeval_eq]
right_inv := fun x => by rw [← h'.map_repr x, liftHom_map, aeval_eq, liftHom_map, aeval_eq] }
#align is_adjoin_root.aequiv IsAdjoinRoot.aequiv
@[simp]
theorem aequiv_map (h : IsAdjoinRoot S f) (h' : IsAdjoinRoot T f) (z : R[X]) :
h.aequiv h' (h.map z) = h'.map z := by rw [aequiv, AlgEquiv.coe_mk, liftHom_map, aeval_eq]
#align is_adjoin_root.aequiv_map IsAdjoinRoot.aequiv_map
@[simp]
theorem aequiv_root (h : IsAdjoinRoot S f) (h' : IsAdjoinRoot T f) :
h.aequiv h' h.root = h'.root := by rw [aequiv, AlgEquiv.coe_mk, liftHom_root]
#align is_adjoin_root.aequiv_root IsAdjoinRoot.aequiv_root
@[simp]
theorem aequiv_self (h : IsAdjoinRoot S f) : h.aequiv h = AlgEquiv.refl := by
ext a; exact h.lift_self_apply a
#align is_adjoin_root.aequiv_self IsAdjoinRoot.aequiv_self
@[simp]
theorem aequiv_symm (h : IsAdjoinRoot S f) (h' : IsAdjoinRoot T f) :
(h.aequiv h').symm = h'.aequiv h := by ext; rfl
#align is_adjoin_root.aequiv_symm IsAdjoinRoot.aequiv_symm
@[simp]
theorem lift_aequiv {U : Type*} [CommRing U] (h : IsAdjoinRoot S f) (h' : IsAdjoinRoot T f)
(i : R →+* U) (x hx z) : h'.lift i x hx (h.aequiv h' z) = h.lift i x hx z := by
rw [← h.map_repr z, aequiv_map, lift_map, lift_map]
#align is_adjoin_root.lift_aequiv IsAdjoinRoot.lift_aequiv
@[simp]
theorem liftHom_aequiv {U : Type*} [CommRing U] [Algebra R U] (h : IsAdjoinRoot S f)
(h' : IsAdjoinRoot T f) (x : U) (hx z) : h'.liftHom x hx (h.aequiv h' z) = h.liftHom x hx z :=
h.lift_aequiv h' _ _ hx _
#align is_adjoin_root.lift_hom_aequiv IsAdjoinRoot.liftHom_aequiv
@[simp]
theorem aequiv_aequiv {U : Type*} [CommRing U] [Algebra R U] (h : IsAdjoinRoot S f)
(h' : IsAdjoinRoot T f) (h'' : IsAdjoinRoot U f) (x) :
(h'.aequiv h'') (h.aequiv h' x) = h.aequiv h'' x :=
h.liftHom_aequiv _ _ h''.aeval_root _
#align is_adjoin_root.aequiv_aequiv IsAdjoinRoot.aequiv_aequiv
@[simp]
theorem aequiv_trans {U : Type*} [CommRing U] [Algebra R U] (h : IsAdjoinRoot S f)
(h' : IsAdjoinRoot T f) (h'' : IsAdjoinRoot U f) :
(h.aequiv h').trans (h'.aequiv h'') = h.aequiv h'' := by ext z; exact h.aequiv_aequiv h' h'' z
#align is_adjoin_root.aequiv_trans IsAdjoinRoot.aequiv_trans
/-- Transfer `IsAdjoinRoot` across an algebra isomorphism.
This is the converse of `IsAdjoinRoot.aequiv`: this turns an `AlgEquiv` into an `IsAdjoinRoot`,
and `IsAdjoinRoot.aequiv` turns an `IsAdjoinRoot` into an `AlgEquiv`.
-/
@[simps! map_apply]
def ofEquiv (h : IsAdjoinRoot S f) (e : S ≃ₐ[R] T) : IsAdjoinRoot T f where
map := ((e : S ≃+* T) : S →+* T).comp h.map
map_surjective := e.surjective.comp h.map_surjective
ker_map := by
rw [← RingHom.comap_ker, RingHom.ker_coe_equiv, ← RingHom.ker_eq_comap_bot, h.ker_map]
algebraMap_eq := by
ext
simp only [AlgEquiv.commutes, RingHom.comp_apply, AlgEquiv.coe_ringEquiv,
RingEquiv.coe_toRingHom, ← h.algebraMap_apply]
#align is_adjoin_root.of_equiv IsAdjoinRoot.ofEquiv
@[simp]
theorem ofEquiv_root (h : IsAdjoinRoot S f) (e : S ≃ₐ[R] T) : (h.ofEquiv e).root = e h.root := rfl
#align is_adjoin_root.of_equiv_root IsAdjoinRoot.ofEquiv_root
@[simp]
theorem aequiv_ofEquiv {U : Type*} [CommRing U] [Algebra R U] (h : IsAdjoinRoot S f)
(h' : IsAdjoinRoot T f) (e : T ≃ₐ[R] U) : h.aequiv (h'.ofEquiv e) = (h.aequiv h').trans e := by
ext a; rw [← h.map_repr a, aequiv_map, AlgEquiv.trans_apply, aequiv_map, ofEquiv_map_apply]
#align is_adjoin_root.aequiv_of_equiv IsAdjoinRoot.aequiv_ofEquiv
@[simp]
| Mathlib/RingTheory/IsAdjoinRoot.lean | 718 | 723 | theorem ofEquiv_aequiv {U : Type*} [CommRing U] [Algebra R U] (h : IsAdjoinRoot S f)
(h' : IsAdjoinRoot U f) (e : S ≃ₐ[R] T) :
(h.ofEquiv e).aequiv h' = e.symm.trans (h.aequiv h') := by |
ext a
rw [← (h.ofEquiv e).map_repr a, aequiv_map, AlgEquiv.trans_apply, ofEquiv_map_apply,
e.symm_apply_apply, aequiv_map]
|
/-
Copyright (c) 2017 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro
-/
import Mathlib.Data.Fintype.Card
import Mathlib.Data.Finset.Option
#align_import data.fintype.option from "leanprover-community/mathlib"@"509de852e1de55e1efa8eacfa11df0823f26f226"
/-!
# fintype instances for option
-/
assert_not_exists MonoidWithZero
assert_not_exists MulAction
open Function
open Nat
universe u v
variable {α β γ : Type*}
open Finset Function
instance {α : Type*} [Fintype α] : Fintype (Option α) :=
⟨Finset.insertNone univ, fun a => by simp⟩
theorem univ_option (α : Type*) [Fintype α] : (univ : Finset (Option α)) = insertNone univ :=
rfl
#align univ_option univ_option
@[simp]
theorem Fintype.card_option {α : Type*} [Fintype α] :
Fintype.card (Option α) = Fintype.card α + 1 :=
(Finset.card_cons (by simp)).trans <| congr_arg₂ _ (card_map _) rfl
#align fintype.card_option Fintype.card_option
/-- If `Option α` is a `Fintype` then so is `α` -/
def fintypeOfOption {α : Type*} [Fintype (Option α)] : Fintype α :=
⟨Finset.eraseNone (Fintype.elems (α := Option α)), fun x =>
mem_eraseNone.mpr (Fintype.complete (some x))⟩
#align fintype_of_option fintypeOfOption
/-- A type is a `Fintype` if its successor (using `Option`) is a `Fintype`. -/
def fintypeOfOptionEquiv [Fintype α] (f : α ≃ Option β) : Fintype β :=
haveI := Fintype.ofEquiv _ f
fintypeOfOption
#align fintype_of_option_equiv fintypeOfOptionEquiv
namespace Fintype
/-- A recursor principle for finite types, analogous to `Nat.rec`. It effectively says
that every `Fintype` is either `Empty` or `Option α`, up to an `Equiv`. -/
def truncRecEmptyOption {P : Type u → Sort v} (of_equiv : ∀ {α β}, α ≃ β → P α → P β)
(h_empty : P PEmpty) (h_option : ∀ {α} [Fintype α] [DecidableEq α], P α → P (Option α))
(α : Type u) [Fintype α] [DecidableEq α] : Trunc (P α) := by
suffices ∀ n : ℕ, Trunc (P (ULift <| Fin n)) by
apply Trunc.bind (this (Fintype.card α))
intro h
apply Trunc.map _ (Fintype.truncEquivFin α)
intro e
exact of_equiv (Equiv.ulift.trans e.symm) h
apply ind where
-- Porting note: do a manual recursion, instead of `induction` tactic,
-- to ensure the result is computable
/-- Internal induction hypothesis -/
ind : ∀ n : ℕ, Trunc (P (ULift <| Fin n))
| Nat.zero => by
have : card PEmpty = card (ULift (Fin 0)) := by simp only [card_fin, card_pempty,
card_ulift]
apply Trunc.bind (truncEquivOfCardEq this)
intro e
apply Trunc.mk
exact of_equiv e h_empty
| Nat.succ n => by
have : card (Option (ULift (Fin n))) = card (ULift (Fin n.succ)) := by
simp only [card_fin, card_option, card_ulift]
apply Trunc.bind (truncEquivOfCardEq this)
intro e
apply Trunc.map _ (ind n)
intro ih
exact of_equiv e (h_option ih)
#align fintype.trunc_rec_empty_option Fintype.truncRecEmptyOption
-- Porting note: due to instance inference issues in `SetTheory.Cardinal.Basic`
-- I had to explicitly name `h_fintype` in order to access it manually.
-- was `[Fintype α]`
/-- An induction principle for finite types, analogous to `Nat.rec`. It effectively says
that every `Fintype` is either `Empty` or `Option α`, up to an `Equiv`. -/
@[elab_as_elim]
theorem induction_empty_option {P : ∀ (α : Type u) [Fintype α], Prop}
(of_equiv : ∀ (α β) [Fintype β] (e : α ≃ β), @P α (@Fintype.ofEquiv α β ‹_› e.symm) → @P β ‹_›)
(h_empty : P PEmpty) (h_option : ∀ (α) [Fintype α], P α → P (Option α)) (α : Type u)
[h_fintype : Fintype α] : P α := by
obtain ⟨p⟩ :=
let f_empty := fun i => by convert h_empty
let h_option : ∀ {α : Type u} [Fintype α] [DecidableEq α],
(∀ (h : Fintype α), P α) → ∀ (h : Fintype (Option α)), P (Option α) := by
rintro α hα - Pα hα'
convert h_option α (Pα _)
@truncRecEmptyOption (fun α => ∀ h, @P α h) (@fun α β e hα hβ => @of_equiv α β hβ e (hα _))
f_empty h_option α _ (Classical.decEq α)
exact p _
-- ·
#align fintype.induction_empty_option Fintype.induction_empty_option
end Fintype
/-- An induction principle for finite types, analogous to `Nat.rec`. It effectively says
that every `Fintype` is either `Empty` or `Option α`, up to an `Equiv`. -/
| Mathlib/Data/Fintype/Option.lean | 114 | 119 | theorem Finite.induction_empty_option {P : Type u → Prop} (of_equiv : ∀ {α β}, α ≃ β → P α → P β)
(h_empty : P PEmpty) (h_option : ∀ {α} [Fintype α], P α → P (Option α)) (α : Type u)
[Finite α] : P α := by |
cases nonempty_fintype α
refine Fintype.induction_empty_option ?_ ?_ ?_ α
exacts [fun α β _ => of_equiv, h_empty, @h_option]
|
/-
Copyright (c) 2021 David Wärn. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: David Wärn
-/
import Mathlib.CategoryTheory.Action
import Mathlib.Combinatorics.Quiver.Arborescence
import Mathlib.Combinatorics.Quiver.ConnectedComponent
import Mathlib.GroupTheory.FreeGroup.IsFreeGroup
#align_import group_theory.nielsen_schreier from "leanprover-community/mathlib"@"1bda4fc53de6ade5ab9da36f2192e24e2084a2ce"
/-!
# The Nielsen-Schreier theorem
This file proves that a subgroup of a free group is itself free.
## Main result
- `subgroupIsFreeOfIsFree H`: an instance saying that a subgroup of a free group is free.
## Proof overview
The proof is analogous to the proof using covering spaces and fundamental groups of graphs,
but we work directly with groupoids instead of topological spaces. Under this analogy,
- `IsFreeGroupoid G` corresponds to saying that a space is a graph.
- `endMulEquivSubgroup H` plays the role of replacing 'subgroup of fundamental group' with
'fundamental group of covering space'.
- `actionGroupoidIsFree G A` corresponds to the fact that a covering of a (single-vertex)
graph is a graph.
- `endIsFree T` corresponds to the fact that, given a spanning tree `T` of a
graph, its fundamental group is free (generated by loops from the complement of the tree).
## Implementation notes
Our definition of `IsFreeGroupoid` is nonstandard. Normally one would require that functors
`G ⥤ X` to any _groupoid_ `X` are given by graph homomorphisms from the generators, but we only
consider _groups_ `X`. This simplifies the argument since functor equality is complicated in
general, but simple for functors to single object categories.
## References
https://ncatlab.org/nlab/show/Nielsen-Schreier+theorem
## Tags
free group, free groupoid, Nielsen-Schreier
-/
noncomputable section
open scoped Classical
universe v u
/- Porting note: ./././Mathport/Syntax/Translate/Command.lean:229:11:unsupported:
unusual advanced open style -/
open CategoryTheory CategoryTheory.ActionCategory CategoryTheory.SingleObj Quiver FreeGroup
/-- `IsFreeGroupoid.Generators G` is a type synonym for `G`. We think of this as
the vertices of the generating quiver of `G` when `G` is free. We can't use `G` directly,
since `G` already has a quiver instance from being a groupoid. -/
-- Porting note(#5171): @[nolint has_nonempty_instance]
@[nolint unusedArguments]
def IsFreeGroupoid.Generators (G) [Groupoid G] :=
G
#align is_free_groupoid.generators IsFreeGroupoid.Generators
/-- A groupoid `G` is free when we have the following data:
- a quiver on `IsFreeGroupoid.Generators G` (a type synonym for `G`)
- a function `of` taking a generating arrow to a morphism in `G`
- such that a functor from `G` to any group `X` is uniquely determined
by assigning labels in `X` to the generating arrows.
This definition is nonstandard. Normally one would require that functors `G ⥤ X`
to any _groupoid_ `X` are given by graph homomorphisms from `generators`. -/
class IsFreeGroupoid (G) [Groupoid.{v} G] where
quiverGenerators : Quiver.{v + 1} (IsFreeGroupoid.Generators G)
of : ∀ {a b : IsFreeGroupoid.Generators G}, (a ⟶ b) → ((show G from a) ⟶ b)
unique_lift :
∀ {X : Type v} [Group X] (f : Labelling (IsFreeGroupoid.Generators G) X),
∃! F : G ⥤ CategoryTheory.SingleObj X, ∀ (a b) (g : a ⟶ b), F.map (of g) = f g
#align is_free_groupoid IsFreeGroupoid
attribute [nolint docBlame] IsFreeGroupoid.of IsFreeGroupoid.unique_lift
namespace IsFreeGroupoid
attribute [instance] quiverGenerators
/-- Two functors from a free groupoid to a group are equal when they agree on the generating
quiver. -/
@[ext]
theorem ext_functor {G} [Groupoid.{v} G] [IsFreeGroupoid G] {X : Type v} [Group X]
(f g : G ⥤ CategoryTheory.SingleObj X) (h : ∀ (a b) (e : a ⟶ b), f.map (of e) = g.map (of e)) :
f = g :=
let ⟨_, _, u⟩ := @unique_lift G _ _ X _ fun (a b : Generators G) (e : a ⟶ b) => g.map (of e)
_root_.trans (u _ h) (u _ fun _ _ _ => rfl).symm
#align is_free_groupoid.ext_functor IsFreeGroupoid.ext_functor
/-- An action groupoid over a free group is free. More generally, one could show that the groupoid
of elements over a free groupoid is free, but this version is easier to prove and suffices for our
purposes.
Analogous to the fact that a covering space of a graph is a graph. (A free groupoid is like a graph,
and a groupoid of elements is like a covering space.) -/
instance actionGroupoidIsFree {G A : Type u} [Group G] [IsFreeGroup G] [MulAction G A] :
IsFreeGroupoid (ActionCategory G A) where
quiverGenerators :=
⟨fun a b => { e : IsFreeGroup.Generators G // IsFreeGroup.of e • a.back = b.back }⟩
of := fun (e : { e // _}) => ⟨IsFreeGroup.of e, e.property⟩
unique_lift := by
intro X _ f
let f' : IsFreeGroup.Generators G → (A → X) ⋊[mulAutArrow] G := fun e =>
⟨fun b => @f ⟨(), _⟩ ⟨(), b⟩ ⟨e, smul_inv_smul _ b⟩, IsFreeGroup.of e⟩
rcases IsFreeGroup.unique_lift f' with ⟨F', hF', uF'⟩
refine ⟨uncurry F' ?_, ?_, ?_⟩
· suffices SemidirectProduct.rightHom.comp F' = MonoidHom.id _ by
-- Porting note: `MonoidHom.ext_iff` has been deprecated.
exact DFunLike.ext_iff.mp this
apply IsFreeGroup.ext_hom (fun x ↦ ?_)
rw [MonoidHom.comp_apply, hF']
rfl
· rintro ⟨⟨⟩, a : A⟩ ⟨⟨⟩, b⟩ ⟨e, h : IsFreeGroup.of e • a = b⟩
change (F' (IsFreeGroup.of _)).left _ = _
rw [hF']
cases inv_smul_eq_iff.mpr h.symm
rfl
· intro E hE
have : curry E = F' := by
apply uF'
intro e
ext
· convert hE _ _ _
rfl
· rfl
apply Functor.hext
· intro
apply Unit.ext
· refine ActionCategory.cases ?_
intros
simp only [← this, uncurry_map, curry_apply_left, coe_back, homOfPair.val]
rfl
#align is_free_groupoid.action_groupoid_is_free IsFreeGroupoid.actionGroupoidIsFree
namespace SpanningTree
/- In this section, we suppose we have a free groupoid with a spanning tree for its generating
quiver. The goal is to prove that the vertex group at the root is free. A picture to have in mind
is that we are 'pulling' the endpoints of all the edges of the quiver along the spanning tree to
the root. -/
variable {G : Type u} [Groupoid.{u} G] [IsFreeGroupoid G]
(T : WideSubquiver (Symmetrify <| Generators G)) [Arborescence T]
/-- The root of `T`, except its type is `G` instead of the type synonym `T`. -/
private def root' : G :=
show T from root T
-- #align is_free_groupoid.spanning_tree.root' IsFreeGroupoid.SpanningTree.root'
-- this has to be marked noncomputable, see issue #451.
-- It might be nicer to define this in terms of `composePath`
/-- A path in the tree gives a hom, by composition. -/
-- Porting note: removed noncomputable. This is already declared at the beginning of the section.
def homOfPath : ∀ {a : G}, Path (root T) a → (root' T ⟶ a)
| _, Path.nil => 𝟙 _
| _, Path.cons p f => homOfPath p ≫ Sum.recOn f.val (fun e => of e) fun e => inv (of e)
#align is_free_groupoid.spanning_tree.hom_of_path IsFreeGroupoid.SpanningTree.homOfPath
/-- For every vertex `a`, there is a canonical hom from the root, given by the path in the tree. -/
def treeHom (a : G) : root' T ⟶ a :=
homOfPath T default
#align is_free_groupoid.spanning_tree.tree_hom IsFreeGroupoid.SpanningTree.treeHom
/-- Any path to `a` gives `treeHom T a`, since paths in the tree are unique. -/
theorem treeHom_eq {a : G} (p : Path (root T) a) : treeHom T a = homOfPath T p := by
rw [treeHom, Unique.default_eq]
#align is_free_groupoid.spanning_tree.tree_hom_eq IsFreeGroupoid.SpanningTree.treeHom_eq
@[simp]
theorem treeHom_root : treeHom T (root' T) = 𝟙 _ :=
-- this should just be `treeHom_eq T Path.nil`, but Lean treats `homOfPath` with suspicion.
_root_.trans
(treeHom_eq T Path.nil) rfl
#align is_free_groupoid.spanning_tree.tree_hom_root IsFreeGroupoid.SpanningTree.treeHom_root
/-- Any hom in `G` can be made into a loop, by conjugating with `treeHom`s. -/
def loopOfHom {a b : G} (p : a ⟶ b) : End (root' T) :=
treeHom T a ≫ p ≫ inv (treeHom T b)
#align is_free_groupoid.spanning_tree.loop_of_hom IsFreeGroupoid.SpanningTree.loopOfHom
/-- Turning an edge in the spanning tree into a loop gives the identity loop. -/
| Mathlib/GroupTheory/FreeGroup/NielsenSchreier.lean | 195 | 202 | theorem loopOfHom_eq_id {a b : Generators G} (e) (H : e ∈ wideSubquiverSymmetrify T a b) :
loopOfHom T (of e) = 𝟙 (root' T) := by |
rw [loopOfHom, ← Category.assoc, IsIso.comp_inv_eq, Category.id_comp]
cases' H with H H
· rw [treeHom_eq T (Path.cons default ⟨Sum.inl e, H⟩), homOfPath]
rfl
· rw [treeHom_eq T (Path.cons default ⟨Sum.inr e, H⟩), homOfPath]
simp only [IsIso.inv_hom_id, Category.comp_id, Category.assoc, treeHom]
|
/-
Copyright (c) 2021 Yury G. Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury G. Kudryashov
-/
import Mathlib.Analysis.Complex.Circle
import Mathlib.Analysis.SpecialFunctions.Complex.Log
#align_import analysis.special_functions.complex.circle from "leanprover-community/mathlib"@"f333194f5ecd1482191452c5ea60b37d4d6afa08"
/-!
# Maps on the unit circle
In this file we prove some basic lemmas about `expMapCircle` and the restriction of `Complex.arg`
to the unit circle. These two maps define a partial equivalence between `circle` and `ℝ`, see
`circle.argPartialEquiv` and `circle.argEquiv`, that sends the whole circle to `(-π, π]`.
-/
open Complex Function Set
open Real
namespace circle
theorem injective_arg : Injective fun z : circle => arg z := fun z w h =>
Subtype.ext <| ext_abs_arg ((abs_coe_circle z).trans (abs_coe_circle w).symm) h
#align circle.injective_arg circle.injective_arg
@[simp]
theorem arg_eq_arg {z w : circle} : arg z = arg w ↔ z = w :=
injective_arg.eq_iff
#align circle.arg_eq_arg circle.arg_eq_arg
end circle
| Mathlib/Analysis/SpecialFunctions/Complex/Circle.lean | 37 | 38 | theorem arg_expMapCircle {x : ℝ} (h₁ : -π < x) (h₂ : x ≤ π) : arg (expMapCircle x) = x := by |
rw [expMapCircle_apply, exp_mul_I, arg_cos_add_sin_mul_I ⟨h₁, h₂⟩]
|
/-
Copyright (c) 2024 Jeremy Tan. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jeremy Tan
-/
import Mathlib.Data.Int.Interval
import Mathlib.Data.Int.ModEq
import Mathlib.Data.Nat.Count
import Mathlib.Data.Rat.Floor
import Mathlib.Order.Interval.Finset.Nat
/-!
# Counting elements in an interval with given residue
The theorems in this file generalise `Nat.card_multiples` in `Mathlib.Data.Nat.Factorization.Basic`
to all integer intervals and any fixed residue (not just zero, which reduces to the multiples).
Theorems are given for `Ico` and `Ioc` intervals.
-/
open Finset Int
namespace Int
variable (a b : ℤ) {r : ℤ} (hr : 0 < r)
lemma Ico_filter_dvd_eq : (Ico a b).filter (r ∣ ·) =
(Ico ⌈a / (r : ℚ)⌉ ⌈b / (r : ℚ)⌉).map ⟨(· * r), mul_left_injective₀ hr.ne'⟩ := by
ext x
simp only [mem_map, mem_filter, mem_Ico, ceil_le, lt_ceil, div_le_iff, lt_div_iff,
dvd_iff_exists_eq_mul_left, cast_pos.2 hr, ← cast_mul, cast_lt, cast_le]
aesop
lemma Ioc_filter_dvd_eq : (Ioc a b).filter (r ∣ ·) =
(Ioc ⌊a / (r : ℚ)⌋ ⌊b / (r : ℚ)⌋).map ⟨(· * r), mul_left_injective₀ hr.ne'⟩ := by
ext x
simp only [mem_map, mem_filter, mem_Ioc, floor_lt, le_floor, div_lt_iff, le_div_iff,
dvd_iff_exists_eq_mul_left, cast_pos.2 hr, ← cast_mul, cast_lt, cast_le]
aesop
/-- There are `⌈b / r⌉ - ⌈a / r⌉` multiples of `r` in `[a, b)`, if `a ≤ b`. -/
theorem Ico_filter_dvd_card : ((Ico a b).filter (r ∣ ·)).card =
max (⌈b / (r : ℚ)⌉ - ⌈a / (r : ℚ)⌉) 0 := by
rw [Ico_filter_dvd_eq _ _ hr, card_map, card_Ico, toNat_eq_max]
/-- There are `⌊b / r⌋ - ⌊a / r⌋` multiples of `r` in `(a, b]`, if `a ≤ b`. -/
theorem Ioc_filter_dvd_card : ((Ioc a b).filter (r ∣ ·)).card =
max (⌊b / (r : ℚ)⌋ - ⌊a / (r : ℚ)⌋) 0 := by
rw [Ioc_filter_dvd_eq _ _ hr, card_map, card_Ioc, toNat_eq_max]
lemma Ico_filter_modEq_eq (v : ℤ) : (Ico a b).filter (· ≡ v [ZMOD r]) =
((Ico (a - v) (b - v)).filter (r ∣ ·)).map ⟨(· + v), add_left_injective v⟩ := by
ext x
simp_rw [mem_map, mem_filter, mem_Ico, Function.Embedding.coeFn_mk, ← eq_sub_iff_add_eq,
exists_eq_right, modEq_comm, modEq_iff_dvd, sub_lt_sub_iff_right, sub_le_sub_iff_right]
lemma Ioc_filter_modEq_eq (v : ℤ) : (Ioc a b).filter (· ≡ v [ZMOD r]) =
((Ioc (a - v) (b - v)).filter (r ∣ ·)).map ⟨(· + v), add_left_injective v⟩ := by
ext x
simp_rw [mem_map, mem_filter, mem_Ioc, Function.Embedding.coeFn_mk, ← eq_sub_iff_add_eq,
exists_eq_right, modEq_comm, modEq_iff_dvd, sub_lt_sub_iff_right, sub_le_sub_iff_right]
/-- There are `⌈(b - v) / r⌉ - ⌈(a - v) / r⌉` numbers congruent to `v` mod `r` in `[a, b)`,
if `a ≤ b`. -/
theorem Ico_filter_modEq_card (v : ℤ) : ((Ico a b).filter (· ≡ v [ZMOD r])).card =
max (⌈(b - v) / (r : ℚ)⌉ - ⌈(a - v) / (r : ℚ)⌉) 0 := by
simp [Ico_filter_modEq_eq, Ico_filter_dvd_eq, toNat_eq_max, hr]
/-- There are `⌊(b - v) / r⌋ - ⌊(a - v) / r⌋` numbers congruent to `v` mod `r` in `(a, b]`,
if `a ≤ b`. -/
theorem Ioc_filter_modEq_card (v : ℤ) : ((Ioc a b).filter (· ≡ v [ZMOD r])).card =
max (⌊(b - v) / (r : ℚ)⌋ - ⌊(a - v) / (r : ℚ)⌋) 0 := by
simp [Ioc_filter_modEq_eq, Ioc_filter_dvd_eq, toNat_eq_max, hr]
end Int
namespace Nat
variable (a b : ℕ) {r : ℕ} (hr : 0 < r)
lemma Ico_filter_modEq_cast {v : ℕ} : ((Ico a b).filter (· ≡ v [MOD r])).map castEmbedding =
(Ico (a : ℤ) (b : ℤ)).filter (· ≡ v [ZMOD r]) := by
ext x
simp only [mem_map, mem_filter, mem_Ico, castEmbedding_apply]
constructor
· simp_rw [forall_exists_index, ← natCast_modEq_iff]; intro y ⟨h, c⟩; subst c; exact_mod_cast h
· intro h; lift x to ℕ using (by linarith); exact ⟨x, by simp_all [natCast_modEq_iff]⟩
lemma Ioc_filter_modEq_cast {v : ℕ} : ((Ioc a b).filter (· ≡ v [MOD r])).map castEmbedding =
(Ioc (a : ℤ) (b : ℤ)).filter (· ≡ v [ZMOD r]) := by
ext x
simp only [mem_map, mem_filter, mem_Ioc, castEmbedding_apply]
constructor
· simp_rw [forall_exists_index, ← natCast_modEq_iff]; intro y ⟨h, c⟩; subst c; exact_mod_cast h
· intro h; lift x to ℕ using (by linarith); exact ⟨x, by simp_all [natCast_modEq_iff]⟩
/-- There are `⌈(b - v) / r⌉ - ⌈(a - v) / r⌉` numbers congruent to `v` mod `r` in `[a, b)`,
if `a ≤ b`. `Nat` version of `Int.Ico_filter_modEq_card`. -/
theorem Ico_filter_modEq_card (v : ℕ) : ((Ico a b).filter (· ≡ v [MOD r])).card =
max (⌈(b - v) / (r : ℚ)⌉ - ⌈(a - v) / (r : ℚ)⌉) 0 := by
simp_rw [← Ico_filter_modEq_cast _ _ ▸ card_map _,
Int.Ico_filter_modEq_card _ _ (cast_lt.mpr hr), Int.cast_natCast]
/-- There are `⌊(b - v) / r⌋ - ⌊(a - v) / r⌋` numbers congruent to `v` mod `r` in `(a, b]`,
if `a ≤ b`. `Nat` version of `Int.Ioc_filter_modEq_card`. -/
theorem Ioc_filter_modEq_card (v : ℕ) : ((Ioc a b).filter (· ≡ v [MOD r])).card =
max (⌊(b - v) / (r : ℚ)⌋ - ⌊(a - v) / (r : ℚ)⌋) 0 := by
simp_rw [← Ioc_filter_modEq_cast _ _ ▸ card_map _,
Int.Ioc_filter_modEq_card _ _ (cast_lt.mpr hr), Int.cast_natCast]
/-- There are `⌈(b - v % r) / r⌉` numbers in `[0, b)` congruent to `v` mod `r`. -/
| Mathlib/Data/Int/CardIntervalMod.lean | 112 | 123 | theorem count_modEq_card_eq_ceil (v : ℕ) :
b.count (· ≡ v [MOD r]) = ⌈(b - (v % r : ℕ)) / (r : ℚ)⌉ := by |
have hr' : 0 < (r : ℚ) := by positivity
rw [count_eq_card_filter_range, ← Ico_zero_eq_range, Ico_filter_modEq_card _ _ hr,
max_eq_left (sub_nonneg.mpr <| by gcongr <;> positivity)]
conv_lhs =>
rw [← div_add_mod v r, cast_add, cast_mul, add_comm]
tactic => simp_rw [← sub_sub, sub_div (_ - _), mul_div_cancel_left₀ _ hr'.ne', ceil_sub_nat]
rw [sub_sub_sub_cancel_right, cast_zero, zero_sub]
rw [sub_eq_self, ceil_eq_zero_iff, Set.mem_Ioc, div_le_iff hr', lt_div_iff hr', neg_one_mul,
zero_mul, neg_lt_neg_iff, cast_lt]
exact ⟨mod_lt _ hr, by simp⟩
|
/-
Copyright (c) 2020 Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Anatole Dedecker, Sébastien Gouëzel, Yury G. Kudryashov, Dylan MacKenzie, Patrick Massot
-/
import Mathlib.Algebra.BigOperators.Module
import Mathlib.Algebra.Order.Field.Basic
import Mathlib.Order.Filter.ModEq
import Mathlib.Analysis.Asymptotics.Asymptotics
import Mathlib.Analysis.SpecificLimits.Basic
import Mathlib.Data.List.TFAE
import Mathlib.Analysis.NormedSpace.Basic
#align_import analysis.specific_limits.normed from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
/-!
# A collection of specific limit computations
This file contains important specific limit computations in (semi-)normed groups/rings/spaces, as
well as such computations in `ℝ` when the natural proof passes through a fact about normed spaces.
-/
noncomputable section
open scoped Classical
open Set Function Filter Finset Metric Asymptotics
open scoped Classical
open Topology Nat uniformity NNReal ENNReal
variable {α : Type*} {β : Type*} {ι : Type*}
theorem tendsto_norm_atTop_atTop : Tendsto (norm : ℝ → ℝ) atTop atTop :=
tendsto_abs_atTop_atTop
#align tendsto_norm_at_top_at_top tendsto_norm_atTop_atTop
theorem summable_of_absolute_convergence_real {f : ℕ → ℝ} :
(∃ r, Tendsto (fun n ↦ ∑ i ∈ range n, |f i|) atTop (𝓝 r)) → Summable f
| ⟨r, hr⟩ => by
refine .of_norm ⟨r, (hasSum_iff_tendsto_nat_of_nonneg ?_ _).2 ?_⟩
· exact fun i ↦ norm_nonneg _
· simpa only using hr
#align summable_of_absolute_convergence_real summable_of_absolute_convergence_real
/-! ### Powers -/
theorem tendsto_norm_zero' {𝕜 : Type*} [NormedAddCommGroup 𝕜] :
Tendsto (norm : 𝕜 → ℝ) (𝓝[≠] 0) (𝓝[>] 0) :=
tendsto_norm_zero.inf <| tendsto_principal_principal.2 fun _ hx ↦ norm_pos_iff.2 hx
#align tendsto_norm_zero' tendsto_norm_zero'
namespace NormedField
theorem tendsto_norm_inverse_nhdsWithin_0_atTop {𝕜 : Type*} [NormedDivisionRing 𝕜] :
Tendsto (fun x : 𝕜 ↦ ‖x⁻¹‖) (𝓝[≠] 0) atTop :=
(tendsto_inv_zero_atTop.comp tendsto_norm_zero').congr fun x ↦ (norm_inv x).symm
#align normed_field.tendsto_norm_inverse_nhds_within_0_at_top NormedField.tendsto_norm_inverse_nhdsWithin_0_atTop
theorem tendsto_norm_zpow_nhdsWithin_0_atTop {𝕜 : Type*} [NormedDivisionRing 𝕜] {m : ℤ}
(hm : m < 0) :
Tendsto (fun x : 𝕜 ↦ ‖x ^ m‖) (𝓝[≠] 0) atTop := by
rcases neg_surjective m with ⟨m, rfl⟩
rw [neg_lt_zero] at hm; lift m to ℕ using hm.le; rw [Int.natCast_pos] at hm
simp only [norm_pow, zpow_neg, zpow_natCast, ← inv_pow]
exact (tendsto_pow_atTop hm.ne').comp NormedField.tendsto_norm_inverse_nhdsWithin_0_atTop
#align normed_field.tendsto_norm_zpow_nhds_within_0_at_top NormedField.tendsto_norm_zpow_nhdsWithin_0_atTop
/-- The (scalar) product of a sequence that tends to zero with a bounded one also tends to zero. -/
theorem tendsto_zero_smul_of_tendsto_zero_of_bounded {ι 𝕜 𝔸 : Type*} [NormedDivisionRing 𝕜]
[NormedAddCommGroup 𝔸] [Module 𝕜 𝔸] [BoundedSMul 𝕜 𝔸] {l : Filter ι} {ε : ι → 𝕜} {f : ι → 𝔸}
(hε : Tendsto ε l (𝓝 0)) (hf : Filter.IsBoundedUnder (· ≤ ·) l (norm ∘ f)) :
Tendsto (ε • f) l (𝓝 0) := by
rw [← isLittleO_one_iff 𝕜] at hε ⊢
simpa using IsLittleO.smul_isBigO hε (hf.isBigO_const (one_ne_zero : (1 : 𝕜) ≠ 0))
#align normed_field.tendsto_zero_smul_of_tendsto_zero_of_bounded NormedField.tendsto_zero_smul_of_tendsto_zero_of_bounded
@[simp]
theorem continuousAt_zpow {𝕜 : Type*} [NontriviallyNormedField 𝕜] {m : ℤ} {x : 𝕜} :
ContinuousAt (fun x ↦ x ^ m) x ↔ x ≠ 0 ∨ 0 ≤ m := by
refine ⟨?_, continuousAt_zpow₀ _ _⟩
contrapose!; rintro ⟨rfl, hm⟩ hc
exact not_tendsto_atTop_of_tendsto_nhds (hc.tendsto.mono_left nhdsWithin_le_nhds).norm
(tendsto_norm_zpow_nhdsWithin_0_atTop hm)
#align normed_field.continuous_at_zpow NormedField.continuousAt_zpow
@[simp]
theorem continuousAt_inv {𝕜 : Type*} [NontriviallyNormedField 𝕜] {x : 𝕜} :
ContinuousAt Inv.inv x ↔ x ≠ 0 := by
simpa [(zero_lt_one' ℤ).not_le] using @continuousAt_zpow _ _ (-1) x
#align normed_field.continuous_at_inv NormedField.continuousAt_inv
end NormedField
theorem isLittleO_pow_pow_of_lt_left {r₁ r₂ : ℝ} (h₁ : 0 ≤ r₁) (h₂ : r₁ < r₂) :
(fun n : ℕ ↦ r₁ ^ n) =o[atTop] fun n ↦ r₂ ^ n :=
have H : 0 < r₂ := h₁.trans_lt h₂
(isLittleO_of_tendsto fun _ hn ↦ False.elim <| H.ne' <| pow_eq_zero hn) <|
(tendsto_pow_atTop_nhds_zero_of_lt_one
(div_nonneg h₁ (h₁.trans h₂.le)) ((div_lt_one H).2 h₂)).congr fun _ ↦ div_pow _ _ _
#align is_o_pow_pow_of_lt_left isLittleO_pow_pow_of_lt_left
theorem isBigO_pow_pow_of_le_left {r₁ r₂ : ℝ} (h₁ : 0 ≤ r₁) (h₂ : r₁ ≤ r₂) :
(fun n : ℕ ↦ r₁ ^ n) =O[atTop] fun n ↦ r₂ ^ n :=
h₂.eq_or_lt.elim (fun h ↦ h ▸ isBigO_refl _ _) fun h ↦ (isLittleO_pow_pow_of_lt_left h₁ h).isBigO
set_option linter.uppercaseLean3 false in
#align is_O_pow_pow_of_le_left isBigO_pow_pow_of_le_left
theorem isLittleO_pow_pow_of_abs_lt_left {r₁ r₂ : ℝ} (h : |r₁| < |r₂|) :
(fun n : ℕ ↦ r₁ ^ n) =o[atTop] fun n ↦ r₂ ^ n := by
refine (IsLittleO.of_norm_left ?_).of_norm_right
exact (isLittleO_pow_pow_of_lt_left (abs_nonneg r₁) h).congr (pow_abs r₁) (pow_abs r₂)
#align is_o_pow_pow_of_abs_lt_left isLittleO_pow_pow_of_abs_lt_left
open List in
/-- Various statements equivalent to the fact that `f n` grows exponentially slower than `R ^ n`.
* 0: $f n = o(a ^ n)$ for some $-R < a < R$;
* 1: $f n = o(a ^ n)$ for some $0 < a < R$;
* 2: $f n = O(a ^ n)$ for some $-R < a < R$;
* 3: $f n = O(a ^ n)$ for some $0 < a < R$;
* 4: there exist `a < R` and `C` such that one of `C` and `R` is positive and $|f n| ≤ Ca^n$
for all `n`;
* 5: there exists `0 < a < R` and a positive `C` such that $|f n| ≤ Ca^n$ for all `n`;
* 6: there exists `a < R` such that $|f n| ≤ a ^ n$ for sufficiently large `n`;
* 7: there exists `0 < a < R` such that $|f n| ≤ a ^ n$ for sufficiently large `n`.
NB: For backwards compatibility, if you add more items to the list, please append them at the end of
the list. -/
theorem TFAE_exists_lt_isLittleO_pow (f : ℕ → ℝ) (R : ℝ) :
TFAE
[∃ a ∈ Ioo (-R) R, f =o[atTop] (a ^ ·), ∃ a ∈ Ioo 0 R, f =o[atTop] (a ^ ·),
∃ a ∈ Ioo (-R) R, f =O[atTop] (a ^ ·), ∃ a ∈ Ioo 0 R, f =O[atTop] (a ^ ·),
∃ a < R, ∃ C : ℝ, (0 < C ∨ 0 < R) ∧ ∀ n, |f n| ≤ C * a ^ n,
∃ a ∈ Ioo 0 R, ∃ C > 0, ∀ n, |f n| ≤ C * a ^ n, ∃ a < R, ∀ᶠ n in atTop, |f n| ≤ a ^ n,
∃ a ∈ Ioo 0 R, ∀ᶠ n in atTop, |f n| ≤ a ^ n] := by
have A : Ico 0 R ⊆ Ioo (-R) R :=
fun x hx ↦ ⟨(neg_lt_zero.2 (hx.1.trans_lt hx.2)).trans_le hx.1, hx.2⟩
have B : Ioo 0 R ⊆ Ioo (-R) R := Subset.trans Ioo_subset_Ico_self A
-- First we prove that 1-4 are equivalent using 2 → 3 → 4, 1 → 3, and 2 → 1
tfae_have 1 → 3
· exact fun ⟨a, ha, H⟩ ↦ ⟨a, ha, H.isBigO⟩
tfae_have 2 → 1
· exact fun ⟨a, ha, H⟩ ↦ ⟨a, B ha, H⟩
tfae_have 3 → 2
· rintro ⟨a, ha, H⟩
rcases exists_between (abs_lt.2 ha) with ⟨b, hab, hbR⟩
exact ⟨b, ⟨(abs_nonneg a).trans_lt hab, hbR⟩,
H.trans_isLittleO (isLittleO_pow_pow_of_abs_lt_left (hab.trans_le (le_abs_self b)))⟩
tfae_have 2 → 4
· exact fun ⟨a, ha, H⟩ ↦ ⟨a, ha, H.isBigO⟩
tfae_have 4 → 3
· exact fun ⟨a, ha, H⟩ ↦ ⟨a, B ha, H⟩
-- Add 5 and 6 using 4 → 6 → 5 → 3
tfae_have 4 → 6
· rintro ⟨a, ha, H⟩
rcases bound_of_isBigO_nat_atTop H with ⟨C, hC₀, hC⟩
refine ⟨a, ha, C, hC₀, fun n ↦ ?_⟩
simpa only [Real.norm_eq_abs, abs_pow, abs_of_nonneg ha.1.le] using hC (pow_ne_zero n ha.1.ne')
tfae_have 6 → 5
· exact fun ⟨a, ha, C, H₀, H⟩ ↦ ⟨a, ha.2, C, Or.inl H₀, H⟩
tfae_have 5 → 3
· rintro ⟨a, ha, C, h₀, H⟩
rcases sign_cases_of_C_mul_pow_nonneg fun n ↦ (abs_nonneg _).trans (H n) with (rfl | ⟨hC₀, ha₀⟩)
· obtain rfl : f = 0 := by
ext n
simpa using H n
simp only [lt_irrefl, false_or_iff] at h₀
exact ⟨0, ⟨neg_lt_zero.2 h₀, h₀⟩, isBigO_zero _ _⟩
exact ⟨a, A ⟨ha₀, ha⟩,
isBigO_of_le' _ fun n ↦ (H n).trans <| mul_le_mul_of_nonneg_left (le_abs_self _) hC₀.le⟩
-- Add 7 and 8 using 2 → 8 → 7 → 3
tfae_have 2 → 8
· rintro ⟨a, ha, H⟩
refine ⟨a, ha, (H.def zero_lt_one).mono fun n hn ↦ ?_⟩
rwa [Real.norm_eq_abs, Real.norm_eq_abs, one_mul, abs_pow, abs_of_pos ha.1] at hn
tfae_have 8 → 7
· exact fun ⟨a, ha, H⟩ ↦ ⟨a, ha.2, H⟩
tfae_have 7 → 3
· rintro ⟨a, ha, H⟩
have : 0 ≤ a := nonneg_of_eventually_pow_nonneg (H.mono fun n ↦ (abs_nonneg _).trans)
refine ⟨a, A ⟨this, ha⟩, IsBigO.of_bound 1 ?_⟩
simpa only [Real.norm_eq_abs, one_mul, abs_pow, abs_of_nonneg this]
-- Porting note: used to work without explicitly having 6 → 7
tfae_have 6 → 7
· exact fun h ↦ tfae_8_to_7 <| tfae_2_to_8 <| tfae_3_to_2 <| tfae_5_to_3 <| tfae_6_to_5 h
tfae_finish
#align tfae_exists_lt_is_o_pow TFAE_exists_lt_isLittleO_pow
/-- For any natural `k` and a real `r > 1` we have `n ^ k = o(r ^ n)` as `n → ∞`. -/
theorem isLittleO_pow_const_const_pow_of_one_lt {R : Type*} [NormedRing R] (k : ℕ) {r : ℝ}
(hr : 1 < r) : (fun n ↦ (n : R) ^ k : ℕ → R) =o[atTop] fun n ↦ r ^ n := by
have : Tendsto (fun x : ℝ ↦ x ^ k) (𝓝[>] 1) (𝓝 1) :=
((continuous_id.pow k).tendsto' (1 : ℝ) 1 (one_pow _)).mono_left inf_le_left
obtain ⟨r' : ℝ, hr' : r' ^ k < r, h1 : 1 < r'⟩ :=
((this.eventually (gt_mem_nhds hr)).and self_mem_nhdsWithin).exists
have h0 : 0 ≤ r' := zero_le_one.trans h1.le
suffices (fun n ↦ (n : R) ^ k : ℕ → R) =O[atTop] fun n : ℕ ↦ (r' ^ k) ^ n from
this.trans_isLittleO (isLittleO_pow_pow_of_lt_left (pow_nonneg h0 _) hr')
conv in (r' ^ _) ^ _ => rw [← pow_mul, mul_comm, pow_mul]
suffices ∀ n : ℕ, ‖(n : R)‖ ≤ (r' - 1)⁻¹ * ‖(1 : R)‖ * ‖r' ^ n‖ from
(isBigO_of_le' _ this).pow _
intro n
rw [mul_right_comm]
refine n.norm_cast_le.trans (mul_le_mul_of_nonneg_right ?_ (norm_nonneg _))
simpa [_root_.div_eq_inv_mul, Real.norm_eq_abs, abs_of_nonneg h0] using n.cast_le_pow_div_sub h1
#align is_o_pow_const_const_pow_of_one_lt isLittleO_pow_const_const_pow_of_one_lt
/-- For a real `r > 1` we have `n = o(r ^ n)` as `n → ∞`. -/
theorem isLittleO_coe_const_pow_of_one_lt {R : Type*} [NormedRing R] {r : ℝ} (hr : 1 < r) :
((↑) : ℕ → R) =o[atTop] fun n ↦ r ^ n := by
simpa only [pow_one] using @isLittleO_pow_const_const_pow_of_one_lt R _ 1 _ hr
#align is_o_coe_const_pow_of_one_lt isLittleO_coe_const_pow_of_one_lt
/-- If `‖r₁‖ < r₂`, then for any natural `k` we have `n ^ k r₁ ^ n = o (r₂ ^ n)` as `n → ∞`. -/
theorem isLittleO_pow_const_mul_const_pow_const_pow_of_norm_lt {R : Type*} [NormedRing R] (k : ℕ)
{r₁ : R} {r₂ : ℝ} (h : ‖r₁‖ < r₂) :
(fun n ↦ (n : R) ^ k * r₁ ^ n : ℕ → R) =o[atTop] fun n ↦ r₂ ^ n := by
by_cases h0 : r₁ = 0
· refine (isLittleO_zero _ _).congr' (mem_atTop_sets.2 <| ⟨1, fun n hn ↦ ?_⟩) EventuallyEq.rfl
simp [zero_pow (one_le_iff_ne_zero.1 hn), h0]
rw [← Ne, ← norm_pos_iff] at h0
have A : (fun n ↦ (n : R) ^ k : ℕ → R) =o[atTop] fun n ↦ (r₂ / ‖r₁‖) ^ n :=
isLittleO_pow_const_const_pow_of_one_lt k ((one_lt_div h0).2 h)
suffices (fun n ↦ r₁ ^ n) =O[atTop] fun n ↦ ‖r₁‖ ^ n by
simpa [div_mul_cancel₀ _ (pow_pos h0 _).ne'] using A.mul_isBigO this
exact IsBigO.of_bound 1 (by simpa using eventually_norm_pow_le r₁)
#align is_o_pow_const_mul_const_pow_const_pow_of_norm_lt isLittleO_pow_const_mul_const_pow_const_pow_of_norm_lt
theorem tendsto_pow_const_div_const_pow_of_one_lt (k : ℕ) {r : ℝ} (hr : 1 < r) :
Tendsto (fun n ↦ (n : ℝ) ^ k / r ^ n : ℕ → ℝ) atTop (𝓝 0) :=
(isLittleO_pow_const_const_pow_of_one_lt k hr).tendsto_div_nhds_zero
#align tendsto_pow_const_div_const_pow_of_one_lt tendsto_pow_const_div_const_pow_of_one_lt
/-- If `|r| < 1`, then `n ^ k r ^ n` tends to zero for any natural `k`. -/
theorem tendsto_pow_const_mul_const_pow_of_abs_lt_one (k : ℕ) {r : ℝ} (hr : |r| < 1) :
Tendsto (fun n ↦ (n : ℝ) ^ k * r ^ n : ℕ → ℝ) atTop (𝓝 0) := by
by_cases h0 : r = 0
· exact tendsto_const_nhds.congr'
(mem_atTop_sets.2 ⟨1, fun n hn ↦ by simp [zero_lt_one.trans_le hn |>.ne', h0]⟩)
have hr' : 1 < |r|⁻¹ := one_lt_inv (abs_pos.2 h0) hr
rw [tendsto_zero_iff_norm_tendsto_zero]
simpa [div_eq_mul_inv] using tendsto_pow_const_div_const_pow_of_one_lt k hr'
#align tendsto_pow_const_mul_const_pow_of_abs_lt_one tendsto_pow_const_mul_const_pow_of_abs_lt_one
/-- If `0 ≤ r < 1`, then `n ^ k r ^ n` tends to zero for any natural `k`.
This is a specialized version of `tendsto_pow_const_mul_const_pow_of_abs_lt_one`, singled out
for ease of application. -/
theorem tendsto_pow_const_mul_const_pow_of_lt_one (k : ℕ) {r : ℝ} (hr : 0 ≤ r) (h'r : r < 1) :
Tendsto (fun n ↦ (n : ℝ) ^ k * r ^ n : ℕ → ℝ) atTop (𝓝 0) :=
tendsto_pow_const_mul_const_pow_of_abs_lt_one k (abs_lt.2 ⟨neg_one_lt_zero.trans_le hr, h'r⟩)
#align tendsto_pow_const_mul_const_pow_of_lt_one tendsto_pow_const_mul_const_pow_of_lt_one
/-- If `|r| < 1`, then `n * r ^ n` tends to zero. -/
theorem tendsto_self_mul_const_pow_of_abs_lt_one {r : ℝ} (hr : |r| < 1) :
Tendsto (fun n ↦ n * r ^ n : ℕ → ℝ) atTop (𝓝 0) := by
simpa only [pow_one] using tendsto_pow_const_mul_const_pow_of_abs_lt_one 1 hr
#align tendsto_self_mul_const_pow_of_abs_lt_one tendsto_self_mul_const_pow_of_abs_lt_one
/-- If `0 ≤ r < 1`, then `n * r ^ n` tends to zero. This is a specialized version of
`tendsto_self_mul_const_pow_of_abs_lt_one`, singled out for ease of application. -/
theorem tendsto_self_mul_const_pow_of_lt_one {r : ℝ} (hr : 0 ≤ r) (h'r : r < 1) :
Tendsto (fun n ↦ n * r ^ n : ℕ → ℝ) atTop (𝓝 0) := by
simpa only [pow_one] using tendsto_pow_const_mul_const_pow_of_lt_one 1 hr h'r
#align tendsto_self_mul_const_pow_of_lt_one tendsto_self_mul_const_pow_of_lt_one
/-- In a normed ring, the powers of an element x with `‖x‖ < 1` tend to zero. -/
theorem tendsto_pow_atTop_nhds_zero_of_norm_lt_one {R : Type*} [NormedRing R] {x : R}
(h : ‖x‖ < 1) :
Tendsto (fun n : ℕ ↦ x ^ n) atTop (𝓝 0) := by
apply squeeze_zero_norm' (eventually_norm_pow_le x)
exact tendsto_pow_atTop_nhds_zero_of_lt_one (norm_nonneg _) h
#align tendsto_pow_at_top_nhds_0_of_norm_lt_1 tendsto_pow_atTop_nhds_zero_of_norm_lt_one
@[deprecated (since := "2024-01-31")]
alias tendsto_pow_atTop_nhds_0_of_norm_lt_1 := tendsto_pow_atTop_nhds_zero_of_norm_lt_one
theorem tendsto_pow_atTop_nhds_zero_of_abs_lt_one {r : ℝ} (h : |r| < 1) :
Tendsto (fun n : ℕ ↦ r ^ n) atTop (𝓝 0) :=
tendsto_pow_atTop_nhds_zero_of_norm_lt_one h
#align tendsto_pow_at_top_nhds_0_of_abs_lt_1 tendsto_pow_atTop_nhds_zero_of_abs_lt_one
@[deprecated (since := "2024-01-31")]
alias tendsto_pow_atTop_nhds_0_of_abs_lt_1 := tendsto_pow_atTop_nhds_zero_of_abs_lt_one
/-! ### Geometric series-/
section Geometric
variable {K : Type*} [NormedDivisionRing K] {ξ : K}
theorem hasSum_geometric_of_norm_lt_one (h : ‖ξ‖ < 1) : HasSum (fun n : ℕ ↦ ξ ^ n) (1 - ξ)⁻¹ := by
have xi_ne_one : ξ ≠ 1 := by
contrapose! h
simp [h]
have A : Tendsto (fun n ↦ (ξ ^ n - 1) * (ξ - 1)⁻¹) atTop (𝓝 ((0 - 1) * (ξ - 1)⁻¹)) :=
((tendsto_pow_atTop_nhds_zero_of_norm_lt_one h).sub tendsto_const_nhds).mul tendsto_const_nhds
rw [hasSum_iff_tendsto_nat_of_summable_norm]
· simpa [geom_sum_eq, xi_ne_one, neg_inv, div_eq_mul_inv] using A
· simp [norm_pow, summable_geometric_of_lt_one (norm_nonneg _) h]
#align has_sum_geometric_of_norm_lt_1 hasSum_geometric_of_norm_lt_one
@[deprecated (since := "2024-01-31")]
alias hasSum_geometric_of_norm_lt_1 := hasSum_geometric_of_norm_lt_one
theorem summable_geometric_of_norm_lt_one (h : ‖ξ‖ < 1) : Summable fun n : ℕ ↦ ξ ^ n :=
⟨_, hasSum_geometric_of_norm_lt_one h⟩
#align summable_geometric_of_norm_lt_1 summable_geometric_of_norm_lt_one
@[deprecated (since := "2024-01-31")]
alias summable_geometric_of_norm_lt_1 := summable_geometric_of_norm_lt_one
theorem tsum_geometric_of_norm_lt_one (h : ‖ξ‖ < 1) : ∑' n : ℕ, ξ ^ n = (1 - ξ)⁻¹ :=
(hasSum_geometric_of_norm_lt_one h).tsum_eq
#align tsum_geometric_of_norm_lt_1 tsum_geometric_of_norm_lt_one
@[deprecated (since := "2024-01-31")]
alias tsum_geometric_of_norm_lt_1 := tsum_geometric_of_norm_lt_one
theorem hasSum_geometric_of_abs_lt_one {r : ℝ} (h : |r| < 1) :
HasSum (fun n : ℕ ↦ r ^ n) (1 - r)⁻¹ :=
hasSum_geometric_of_norm_lt_one h
#align has_sum_geometric_of_abs_lt_1 hasSum_geometric_of_abs_lt_one
@[deprecated (since := "2024-01-31")]
alias hasSum_geometric_of_abs_lt_1 := hasSum_geometric_of_abs_lt_one
theorem summable_geometric_of_abs_lt_one {r : ℝ} (h : |r| < 1) : Summable fun n : ℕ ↦ r ^ n :=
summable_geometric_of_norm_lt_one h
#align summable_geometric_of_abs_lt_1 summable_geometric_of_abs_lt_one
@[deprecated (since := "2024-01-31")]
alias summable_geometric_of_abs_lt_1 := summable_geometric_of_abs_lt_one
theorem tsum_geometric_of_abs_lt_one {r : ℝ} (h : |r| < 1) : ∑' n : ℕ, r ^ n = (1 - r)⁻¹ :=
tsum_geometric_of_norm_lt_one h
#align tsum_geometric_of_abs_lt_1 tsum_geometric_of_abs_lt_one
@[deprecated (since := "2024-01-31")]
alias tsum_geometric_of_abs_lt_1 := tsum_geometric_of_abs_lt_one
/-- A geometric series in a normed field is summable iff the norm of the common ratio is less than
one. -/
@[simp]
theorem summable_geometric_iff_norm_lt_one : (Summable fun n : ℕ ↦ ξ ^ n) ↔ ‖ξ‖ < 1 := by
refine ⟨fun h ↦ ?_, summable_geometric_of_norm_lt_one⟩
obtain ⟨k : ℕ, hk : dist (ξ ^ k) 0 < 1⟩ :=
(h.tendsto_cofinite_zero.eventually (ball_mem_nhds _ zero_lt_one)).exists
simp only [norm_pow, dist_zero_right] at hk
rw [← one_pow k] at hk
exact lt_of_pow_lt_pow_left _ zero_le_one hk
#align summable_geometric_iff_norm_lt_1 summable_geometric_iff_norm_lt_one
@[deprecated (since := "2024-01-31")]
alias summable_geometric_iff_norm_lt_1 := summable_geometric_iff_norm_lt_one
end Geometric
section MulGeometric
theorem summable_norm_pow_mul_geometric_of_norm_lt_one {R : Type*} [NormedRing R] (k : ℕ) {r : R}
(hr : ‖r‖ < 1) : Summable fun n : ℕ ↦ ‖((n : R) ^ k * r ^ n : R)‖ := by
rcases exists_between hr with ⟨r', hrr', h⟩
exact summable_of_isBigO_nat (summable_geometric_of_lt_one ((norm_nonneg _).trans hrr'.le) h)
(isLittleO_pow_const_mul_const_pow_const_pow_of_norm_lt _ hrr').isBigO.norm_left
#align summable_norm_pow_mul_geometric_of_norm_lt_1 summable_norm_pow_mul_geometric_of_norm_lt_one
@[deprecated (since := "2024-01-31")]
alias summable_norm_pow_mul_geometric_of_norm_lt_1 := summable_norm_pow_mul_geometric_of_norm_lt_one
theorem summable_pow_mul_geometric_of_norm_lt_one {R : Type*} [NormedRing R] [CompleteSpace R]
(k : ℕ) {r : R} (hr : ‖r‖ < 1) : Summable (fun n ↦ (n : R) ^ k * r ^ n : ℕ → R) :=
.of_norm <| summable_norm_pow_mul_geometric_of_norm_lt_one _ hr
#align summable_pow_mul_geometric_of_norm_lt_1 summable_pow_mul_geometric_of_norm_lt_one
@[deprecated (since := "2024-01-31")]
alias summable_pow_mul_geometric_of_norm_lt_1 := summable_pow_mul_geometric_of_norm_lt_one
/-- If `‖r‖ < 1`, then `∑' n : ℕ, n * r ^ n = r / (1 - r) ^ 2`, `HasSum` version. -/
theorem hasSum_coe_mul_geometric_of_norm_lt_one {𝕜 : Type*} [NormedDivisionRing 𝕜] [CompleteSpace 𝕜]
{r : 𝕜} (hr : ‖r‖ < 1) : HasSum (fun n ↦ n * r ^ n : ℕ → 𝕜) (r / (1 - r) ^ 2) := by
have A : Summable (fun n ↦ (n : 𝕜) * r ^ n : ℕ → 𝕜) := by
simpa only [pow_one] using summable_pow_mul_geometric_of_norm_lt_one 1 hr
have B : HasSum (r ^ · : ℕ → 𝕜) (1 - r)⁻¹ := hasSum_geometric_of_norm_lt_one hr
refine A.hasSum_iff.2 ?_
have hr' : r ≠ 1 := by
rintro rfl
simp [lt_irrefl] at hr
set s : 𝕜 := ∑' n : ℕ, n * r ^ n
have : Commute (1 - r) s :=
.tsum_right _ fun _ =>
.sub_left (.one_left _) (.mul_right (Nat.commute_cast _ _) (.pow_right (.refl _) _))
calc
s = s * (1 - r) / (1 - r) := (mul_div_cancel_right₀ _ (sub_ne_zero.2 hr'.symm)).symm
_ = (1 - r) * s / (1 - r) := by rw [this.eq]
_ = (s - r * s) / (1 - r) := by rw [_root_.sub_mul, one_mul]
_ = (((0 : ℕ) * r ^ 0 + ∑' n : ℕ, (n + 1 : ℕ) * r ^ (n + 1)) - r * s) / (1 - r) := by
rw [← tsum_eq_zero_add A]
_ = ((r * ∑' n : ℕ, ↑(n + 1) * r ^ n) - r * s) / (1 - r) := by
simp only [cast_zero, pow_zero, mul_one, _root_.pow_succ', (Nat.cast_commute _ r).left_comm,
_root_.tsum_mul_left, zero_add]
_ = r / (1 - r) ^ 2 := by
simp [add_mul, tsum_add A B.summable, mul_add, B.tsum_eq, ← div_eq_mul_inv, sq,
div_mul_eq_div_div_swap]
#align has_sum_coe_mul_geometric_of_norm_lt_1 hasSum_coe_mul_geometric_of_norm_lt_one
@[deprecated (since := "2024-01-31")]
alias hasSum_coe_mul_geometric_of_norm_lt_1 := hasSum_coe_mul_geometric_of_norm_lt_one
/-- If `‖r‖ < 1`, then `∑' n : ℕ, n * r ^ n = r / (1 - r) ^ 2`. -/
theorem tsum_coe_mul_geometric_of_norm_lt_one {𝕜 : Type*} [NormedDivisionRing 𝕜] [CompleteSpace 𝕜]
{r : 𝕜} (hr : ‖r‖ < 1) : (∑' n : ℕ, n * r ^ n : 𝕜) = r / (1 - r) ^ 2 :=
(hasSum_coe_mul_geometric_of_norm_lt_one hr).tsum_eq
#align tsum_coe_mul_geometric_of_norm_lt_1 tsum_coe_mul_geometric_of_norm_lt_one
@[deprecated (since := "2024-01-31")]
alias tsum_coe_mul_geometric_of_norm_lt_1 := tsum_coe_mul_geometric_of_norm_lt_one
end MulGeometric
section SummableLeGeometric
variable [SeminormedAddCommGroup α] {r C : ℝ} {f : ℕ → α}
nonrec theorem SeminormedAddCommGroup.cauchySeq_of_le_geometric {C : ℝ} {r : ℝ} (hr : r < 1)
{u : ℕ → α} (h : ∀ n, ‖u n - u (n + 1)‖ ≤ C * r ^ n) : CauchySeq u :=
cauchySeq_of_le_geometric r C hr (by simpa [dist_eq_norm] using h)
#align seminormed_add_comm_group.cauchy_seq_of_le_geometric SeminormedAddCommGroup.cauchySeq_of_le_geometric
theorem dist_partial_sum_le_of_le_geometric (hf : ∀ n, ‖f n‖ ≤ C * r ^ n) (n : ℕ) :
dist (∑ i ∈ range n, f i) (∑ i ∈ range (n + 1), f i) ≤ C * r ^ n := by
rw [sum_range_succ, dist_eq_norm, ← norm_neg, neg_sub, add_sub_cancel_left]
exact hf n
#align dist_partial_sum_le_of_le_geometric dist_partial_sum_le_of_le_geometric
/-- If `‖f n‖ ≤ C * r ^ n` for all `n : ℕ` and some `r < 1`, then the partial sums of `f` form a
Cauchy sequence. This lemma does not assume `0 ≤ r` or `0 ≤ C`. -/
theorem cauchySeq_finset_of_geometric_bound (hr : r < 1) (hf : ∀ n, ‖f n‖ ≤ C * r ^ n) :
CauchySeq fun s : Finset ℕ ↦ ∑ x ∈ s, f x :=
cauchySeq_finset_of_norm_bounded _
(aux_hasSum_of_le_geometric hr (dist_partial_sum_le_of_le_geometric hf)).summable hf
#align cauchy_seq_finset_of_geometric_bound cauchySeq_finset_of_geometric_bound
/-- If `‖f n‖ ≤ C * r ^ n` for all `n : ℕ` and some `r < 1`, then the partial sums of `f` are within
distance `C * r ^ n / (1 - r)` of the sum of the series. This lemma does not assume `0 ≤ r` or
`0 ≤ C`. -/
theorem norm_sub_le_of_geometric_bound_of_hasSum (hr : r < 1) (hf : ∀ n, ‖f n‖ ≤ C * r ^ n) {a : α}
(ha : HasSum f a) (n : ℕ) : ‖(∑ x ∈ Finset.range n, f x) - a‖ ≤ C * r ^ n / (1 - r) := by
rw [← dist_eq_norm]
apply dist_le_of_le_geometric_of_tendsto r C hr (dist_partial_sum_le_of_le_geometric hf)
exact ha.tendsto_sum_nat
#align norm_sub_le_of_geometric_bound_of_has_sum norm_sub_le_of_geometric_bound_of_hasSum
@[simp]
theorem dist_partial_sum (u : ℕ → α) (n : ℕ) :
dist (∑ k ∈ range (n + 1), u k) (∑ k ∈ range n, u k) = ‖u n‖ := by
simp [dist_eq_norm, sum_range_succ]
#align dist_partial_sum dist_partial_sum
@[simp]
theorem dist_partial_sum' (u : ℕ → α) (n : ℕ) :
dist (∑ k ∈ range n, u k) (∑ k ∈ range (n + 1), u k) = ‖u n‖ := by
simp [dist_eq_norm', sum_range_succ]
#align dist_partial_sum' dist_partial_sum'
theorem cauchy_series_of_le_geometric {C : ℝ} {u : ℕ → α} {r : ℝ} (hr : r < 1)
(h : ∀ n, ‖u n‖ ≤ C * r ^ n) : CauchySeq fun n ↦ ∑ k ∈ range n, u k :=
cauchySeq_of_le_geometric r C hr (by simp [h])
#align cauchy_series_of_le_geometric cauchy_series_of_le_geometric
theorem NormedAddCommGroup.cauchy_series_of_le_geometric' {C : ℝ} {u : ℕ → α} {r : ℝ} (hr : r < 1)
(h : ∀ n, ‖u n‖ ≤ C * r ^ n) : CauchySeq fun n ↦ ∑ k ∈ range (n + 1), u k :=
(cauchy_series_of_le_geometric hr h).comp_tendsto <| tendsto_add_atTop_nat 1
#align normed_add_comm_group.cauchy_series_of_le_geometric' NormedAddCommGroup.cauchy_series_of_le_geometric'
theorem NormedAddCommGroup.cauchy_series_of_le_geometric'' {C : ℝ} {u : ℕ → α} {N : ℕ} {r : ℝ}
(hr₀ : 0 < r) (hr₁ : r < 1) (h : ∀ n ≥ N, ‖u n‖ ≤ C * r ^ n) :
CauchySeq fun n ↦ ∑ k ∈ range (n + 1), u k := by
set v : ℕ → α := fun n ↦ if n < N then 0 else u n
have hC : 0 ≤ C :=
(mul_nonneg_iff_of_pos_right <| pow_pos hr₀ N).mp ((norm_nonneg _).trans <| h N <| le_refl N)
have : ∀ n ≥ N, u n = v n := by
intro n hn
simp [v, hn, if_neg (not_lt.mpr hn)]
apply cauchySeq_sum_of_eventually_eq this
(NormedAddCommGroup.cauchy_series_of_le_geometric' hr₁ _)
· exact C
intro n
simp only [v]
split_ifs with H
· rw [norm_zero]
exact mul_nonneg hC (pow_nonneg hr₀.le _)
· push_neg at H
exact h _ H
#align normed_add_comm_group.cauchy_series_of_le_geometric'' NormedAddCommGroup.cauchy_series_of_le_geometric''
/-- The term norms of any convergent series are bounded by a constant. -/
lemma exists_norm_le_of_cauchySeq (h : CauchySeq fun n ↦ ∑ k ∈ range n, f k) :
∃ C, ∀ n, ‖f n‖ ≤ C := by
obtain ⟨b, ⟨_, key, _⟩⟩ := cauchySeq_iff_le_tendsto_0.mp h
refine ⟨b 0, fun n ↦ ?_⟩
simpa only [dist_partial_sum'] using key n (n + 1) 0 (_root_.zero_le _) (_root_.zero_le _)
end SummableLeGeometric
section NormedRingGeometric
variable {R : Type*} [NormedRing R] [CompleteSpace R]
open NormedSpace
/-- A geometric series in a complete normed ring is summable.
Proved above (same name, different namespace) for not-necessarily-complete normed fields. -/
theorem NormedRing.summable_geometric_of_norm_lt_one (x : R) (h : ‖x‖ < 1) :
Summable fun n : ℕ ↦ x ^ n :=
have h1 : Summable fun n : ℕ ↦ ‖x‖ ^ n := summable_geometric_of_lt_one (norm_nonneg _) h
h1.of_norm_bounded_eventually_nat _ (eventually_norm_pow_le x)
#align normed_ring.summable_geometric_of_norm_lt_1 NormedRing.summable_geometric_of_norm_lt_one
@[deprecated (since := "2024-01-31")]
alias NormedRing.summable_geometric_of_norm_lt_1 := NormedRing.summable_geometric_of_norm_lt_one
/-- Bound for the sum of a geometric series in a normed ring. This formula does not assume that the
normed ring satisfies the axiom `‖1‖ = 1`. -/
theorem NormedRing.tsum_geometric_of_norm_lt_one (x : R) (h : ‖x‖ < 1) :
‖∑' n : ℕ, x ^ n‖ ≤ ‖(1 : R)‖ - 1 + (1 - ‖x‖)⁻¹ := by
rw [tsum_eq_zero_add (summable_geometric_of_norm_lt_one x h)]
simp only [_root_.pow_zero]
refine le_trans (norm_add_le _ _) ?_
have : ‖∑' b : ℕ, (fun n ↦ x ^ (n + 1)) b‖ ≤ (1 - ‖x‖)⁻¹ - 1 := by
refine tsum_of_norm_bounded ?_ fun b ↦ norm_pow_le' _ (Nat.succ_pos b)
convert (hasSum_nat_add_iff' 1).mpr (hasSum_geometric_of_lt_one (norm_nonneg x) h)
simp
linarith
#align normed_ring.tsum_geometric_of_norm_lt_1 NormedRing.tsum_geometric_of_norm_lt_one
@[deprecated (since := "2024-01-31")]
alias NormedRing.tsum_geometric_of_norm_lt_1 := NormedRing.tsum_geometric_of_norm_lt_one
theorem geom_series_mul_neg (x : R) (h : ‖x‖ < 1) : (∑' i : ℕ, x ^ i) * (1 - x) = 1 := by
have := (NormedRing.summable_geometric_of_norm_lt_one x h).hasSum.mul_right (1 - x)
refine tendsto_nhds_unique this.tendsto_sum_nat ?_
have : Tendsto (fun n : ℕ ↦ 1 - x ^ n) atTop (𝓝 1) := by
simpa using tendsto_const_nhds.sub (tendsto_pow_atTop_nhds_zero_of_norm_lt_one h)
convert← this
rw [← geom_sum_mul_neg, Finset.sum_mul]
#align geom_series_mul_neg geom_series_mul_neg
theorem mul_neg_geom_series (x : R) (h : ‖x‖ < 1) : ((1 - x) * ∑' i : ℕ, x ^ i) = 1 := by
have := (NormedRing.summable_geometric_of_norm_lt_one x h).hasSum.mul_left (1 - x)
refine tendsto_nhds_unique this.tendsto_sum_nat ?_
have : Tendsto (fun n : ℕ ↦ 1 - x ^ n) atTop (𝓝 1) := by
simpa using tendsto_const_nhds.sub (tendsto_pow_atTop_nhds_zero_of_norm_lt_one h)
convert← this
rw [← mul_neg_geom_sum, Finset.mul_sum]
#align mul_neg_geom_series mul_neg_geom_series
theorem geom_series_succ (x : R) (h : ‖x‖ < 1) : ∑' i : ℕ, x ^ (i + 1) = ∑' i : ℕ, x ^ i - 1 := by
rw [eq_sub_iff_add_eq, tsum_eq_zero_add (NormedRing.summable_geometric_of_norm_lt_one x h),
pow_zero, add_comm]
theorem geom_series_mul_shift (x : R) (h : ‖x‖ < 1) :
x * ∑' i : ℕ, x ^ i = ∑' i : ℕ, x ^ (i + 1) := by
simp_rw [← (NormedRing.summable_geometric_of_norm_lt_one _ h).tsum_mul_left, ← _root_.pow_succ']
theorem geom_series_mul_one_add (x : R) (h : ‖x‖ < 1) :
(1 + x) * ∑' i : ℕ, x ^ i = 2 * ∑' i : ℕ, x ^ i - 1 := by
rw [add_mul, one_mul, geom_series_mul_shift x h, geom_series_succ x h, two_mul, add_sub_assoc]
end NormedRingGeometric
/-! ### Summability tests based on comparison with geometric series -/
| Mathlib/Analysis/SpecificLimits/Normed.lean | 574 | 592 | theorem summable_of_ratio_norm_eventually_le {α : Type*} [SeminormedAddCommGroup α]
[CompleteSpace α] {f : ℕ → α} {r : ℝ} (hr₁ : r < 1)
(h : ∀ᶠ n in atTop, ‖f (n + 1)‖ ≤ r * ‖f n‖) : Summable f := by |
by_cases hr₀ : 0 ≤ r
· rw [eventually_atTop] at h
rcases h with ⟨N, hN⟩
rw [← @summable_nat_add_iff α _ _ _ _ N]
refine .of_norm_bounded (fun n ↦ ‖f N‖ * r ^ n)
(Summable.mul_left _ <| summable_geometric_of_lt_one hr₀ hr₁) fun n ↦ ?_
simp only
conv_rhs => rw [mul_comm, ← zero_add N]
refine le_geom (u := fun n ↦ ‖f (n + N)‖) hr₀ n fun i _ ↦ ?_
convert hN (i + N) (N.le_add_left i) using 3
ac_rfl
· push_neg at hr₀
refine .of_norm_bounded_eventually_nat 0 summable_zero ?_
filter_upwards [h] with _ hn
by_contra! h
exact not_lt.mpr (norm_nonneg _) (lt_of_le_of_lt hn <| mul_neg_of_neg_of_pos hr₀ h)
|
/-
Copyright (c) 2020 Bhavik Mehta. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Bhavik Mehta, E. W. Ayers
-/
import Mathlib.CategoryTheory.Comma.Over
import Mathlib.CategoryTheory.Limits.Shapes.Pullbacks
import Mathlib.CategoryTheory.Yoneda
import Mathlib.Data.Set.Lattice
import Mathlib.Order.CompleteLattice
#align_import category_theory.sites.sieves from "leanprover-community/mathlib"@"239d882c4fb58361ee8b3b39fb2091320edef10a"
/-!
# Theory of sieves
- For an object `X` of a category `C`, a `Sieve X` is a set of morphisms to `X`
which is closed under left-composition.
- The complete lattice structure on sieves is given, as well as the Galois insertion
given by downward-closing.
- A `Sieve X` (functorially) induces a presheaf on `C` together with a monomorphism to
the yoneda embedding of `X`.
## Tags
sieve, pullback
-/
universe v₁ v₂ v₃ u₁ u₂ u₃
namespace CategoryTheory
open Category Limits
variable {C : Type u₁} [Category.{v₁} C] {D : Type u₂} [Category.{v₂} D] (F : C ⥤ D)
variable {X Y Z : C} (f : Y ⟶ X)
/-- A set of arrows all with codomain `X`. -/
def Presieve (X : C) :=
∀ ⦃Y⦄, Set (Y ⟶ X)-- deriving CompleteLattice
#align category_theory.presieve CategoryTheory.Presieve
instance : CompleteLattice (Presieve X) := by
dsimp [Presieve]
infer_instance
namespace Presieve
noncomputable instance : Inhabited (Presieve X) :=
⟨⊤⟩
/-- The full subcategory of the over category `C/X` consisting of arrows which belong to a
presieve on `X`. -/
abbrev category {X : C} (P : Presieve X) :=
FullSubcategory fun f : Over X => P f.hom
/-- Construct an object of `P.category`. -/
abbrev categoryMk {X : C} (P : Presieve X) {Y : C} (f : Y ⟶ X) (hf : P f) : P.category :=
⟨Over.mk f, hf⟩
/-- Given a sieve `S` on `X : C`, its associated diagram `S.diagram` is defined to be
the natural functor from the full subcategory of the over category `C/X` consisting
of arrows in `S` to `C`. -/
abbrev diagram (S : Presieve X) : S.category ⥤ C :=
fullSubcategoryInclusion _ ⋙ Over.forget X
#align category_theory.presieve.diagram CategoryTheory.Presieve.diagram
/-- Given a sieve `S` on `X : C`, its associated cocone `S.cocone` is defined to be
the natural cocone over the diagram defined above with cocone point `X`. -/
abbrev cocone (S : Presieve X) : Cocone S.diagram :=
(Over.forgetCocone X).whisker (fullSubcategoryInclusion _)
#align category_theory.presieve.cocone CategoryTheory.Presieve.cocone
/-- Given a set of arrows `S` all with codomain `X`, and a set of arrows with codomain `Y` for each
`f : Y ⟶ X` in `S`, produce a set of arrows with codomain `X`:
`{ g ≫ f | (f : Y ⟶ X) ∈ S, (g : Z ⟶ Y) ∈ R f }`.
-/
def bind (S : Presieve X) (R : ∀ ⦃Y⦄ ⦃f : Y ⟶ X⦄, S f → Presieve Y) : Presieve X := fun Z h =>
∃ (Y : C) (g : Z ⟶ Y) (f : Y ⟶ X) (H : S f), R H g ∧ g ≫ f = h
#align category_theory.presieve.bind CategoryTheory.Presieve.bind
@[simp]
theorem bind_comp {S : Presieve X} {R : ∀ ⦃Y : C⦄ ⦃f : Y ⟶ X⦄, S f → Presieve Y} {g : Z ⟶ Y}
(h₁ : S f) (h₂ : R h₁ g) : bind S R (g ≫ f) :=
⟨_, _, _, h₁, h₂, rfl⟩
#align category_theory.presieve.bind_comp CategoryTheory.Presieve.bind_comp
-- Porting note: it seems the definition of `Presieve` must be unfolded in order to define
-- this inductive type, it was thus renamed `singleton'`
-- Note we can't make this into `HasSingleton` because of the out-param.
/-- The singleton presieve. -/
inductive singleton' : ⦃Y : C⦄ → (Y ⟶ X) → Prop
| mk : singleton' f
/-- The singleton presieve. -/
def singleton : Presieve X := singleton' f
lemma singleton.mk {f : Y ⟶ X} : singleton f f := singleton'.mk
#align category_theory.presieve.singleton CategoryTheory.Presieve.singleton
@[simp]
theorem singleton_eq_iff_domain (f g : Y ⟶ X) : singleton f g ↔ f = g := by
constructor
· rintro ⟨a, rfl⟩
rfl
· rintro rfl
apply singleton.mk
#align category_theory.presieve.singleton_eq_iff_domain CategoryTheory.Presieve.singleton_eq_iff_domain
theorem singleton_self : singleton f f :=
singleton.mk
#align category_theory.presieve.singleton_self CategoryTheory.Presieve.singleton_self
/-- Pullback a set of arrows with given codomain along a fixed map, by taking the pullback in the
category.
This is not the same as the arrow set of `Sieve.pullback`, but there is a relation between them
in `pullbackArrows_comm`.
-/
inductive pullbackArrows [HasPullbacks C] (R : Presieve X) : Presieve Y
| mk (Z : C) (h : Z ⟶ X) : R h → pullbackArrows _ (pullback.snd : pullback h f ⟶ Y)
#align category_theory.presieve.pullback_arrows CategoryTheory.Presieve.pullbackArrows
theorem pullback_singleton [HasPullbacks C] (g : Z ⟶ X) :
pullbackArrows f (singleton g) = singleton (pullback.snd : pullback g f ⟶ _) := by
funext W
ext h
constructor
· rintro ⟨W, _, _, _⟩
exact singleton.mk
· rintro ⟨_⟩
exact pullbackArrows.mk Z g singleton.mk
#align category_theory.presieve.pullback_singleton CategoryTheory.Presieve.pullback_singleton
/-- Construct the presieve given by the family of arrows indexed by `ι`. -/
inductive ofArrows {ι : Type*} (Y : ι → C) (f : ∀ i, Y i ⟶ X) : Presieve X
| mk (i : ι) : ofArrows _ _ (f i)
#align category_theory.presieve.of_arrows CategoryTheory.Presieve.ofArrows
theorem ofArrows_pUnit : (ofArrows _ fun _ : PUnit => f) = singleton f := by
funext Y
ext g
constructor
· rintro ⟨_⟩
apply singleton.mk
· rintro ⟨_⟩
exact ofArrows.mk PUnit.unit
#align category_theory.presieve.of_arrows_punit CategoryTheory.Presieve.ofArrows_pUnit
theorem ofArrows_pullback [HasPullbacks C] {ι : Type*} (Z : ι → C) (g : ∀ i : ι, Z i ⟶ X) :
(ofArrows (fun i => pullback (g i) f) fun i => pullback.snd) =
pullbackArrows f (ofArrows Z g) := by
funext T
ext h
constructor
· rintro ⟨hk⟩
exact pullbackArrows.mk _ _ (ofArrows.mk hk)
· rintro ⟨W, k, hk₁⟩
cases' hk₁ with i hi
apply ofArrows.mk
#align category_theory.presieve.of_arrows_pullback CategoryTheory.Presieve.ofArrows_pullback
theorem ofArrows_bind {ι : Type*} (Z : ι → C) (g : ∀ i : ι, Z i ⟶ X)
(j : ∀ ⦃Y⦄ (f : Y ⟶ X), ofArrows Z g f → Type*) (W : ∀ ⦃Y⦄ (f : Y ⟶ X) (H), j f H → C)
(k : ∀ ⦃Y⦄ (f : Y ⟶ X) (H i), W f H i ⟶ Y) :
((ofArrows Z g).bind fun Y f H => ofArrows (W f H) (k f H)) =
ofArrows (fun i : Σi, j _ (ofArrows.mk i) => W (g i.1) _ i.2) fun ij =>
k (g ij.1) _ ij.2 ≫ g ij.1 := by
funext Y
ext f
constructor
· rintro ⟨_, _, _, ⟨i⟩, ⟨i'⟩, rfl⟩
exact ofArrows.mk (Sigma.mk _ _)
· rintro ⟨i⟩
exact bind_comp _ (ofArrows.mk _) (ofArrows.mk _)
#align category_theory.presieve.of_arrows_bind CategoryTheory.Presieve.ofArrows_bind
theorem ofArrows_surj {ι : Type*} {Y : ι → C} (f : ∀ i, Y i ⟶ X) {Z : C} (g : Z ⟶ X)
(hg : ofArrows Y f g) : ∃ (i : ι) (h : Y i = Z),
g = eqToHom h.symm ≫ f i := by
cases' hg with i
exact ⟨i, rfl, by simp only [eqToHom_refl, id_comp]⟩
/-- Given a presieve on `F(X)`, we can define a presieve on `X` by taking the preimage via `F`. -/
def functorPullback (R : Presieve (F.obj X)) : Presieve X := fun _ f => R (F.map f)
#align category_theory.presieve.functor_pullback CategoryTheory.Presieve.functorPullback
@[simp]
theorem functorPullback_mem (R : Presieve (F.obj X)) {Y} (f : Y ⟶ X) :
R.functorPullback F f ↔ R (F.map f) :=
Iff.rfl
#align category_theory.presieve.functor_pullback_mem CategoryTheory.Presieve.functorPullback_mem
@[simp]
theorem functorPullback_id (R : Presieve X) : R.functorPullback (𝟭 _) = R :=
rfl
#align category_theory.presieve.functor_pullback_id CategoryTheory.Presieve.functorPullback_id
/-- Given a presieve `R` on `X`, the predicate `R.hasPullbacks` means that for all arrows `f` and
`g` in `R`, the pullback of `f` and `g` exists. -/
class hasPullbacks (R : Presieve X) : Prop where
/-- For all arrows `f` and `g` in `R`, the pullback of `f` and `g` exists. -/
has_pullbacks : ∀ {Y Z} {f : Y ⟶ X} (_ : R f) {g : Z ⟶ X} (_ : R g), HasPullback f g
instance (R : Presieve X) [HasPullbacks C] : R.hasPullbacks := ⟨fun _ _ ↦ inferInstance⟩
instance {α : Type v₂} {X : α → C} {B : C} (π : (a : α) → X a ⟶ B)
[(Presieve.ofArrows X π).hasPullbacks] (a b : α) : HasPullback (π a) (π b) :=
Presieve.hasPullbacks.has_pullbacks (Presieve.ofArrows.mk _) (Presieve.ofArrows.mk _)
section FunctorPushforward
variable {E : Type u₃} [Category.{v₃} E] (G : D ⥤ E)
/-- Given a presieve on `X`, we can define a presieve on `F(X)` (which is actually a sieve)
by taking the sieve generated by the image via `F`.
-/
def functorPushforward (S : Presieve X) : Presieve (F.obj X) := fun Y f =>
∃ (Z : C) (g : Z ⟶ X) (h : Y ⟶ F.obj Z), S g ∧ f = h ≫ F.map g
#align category_theory.presieve.functor_pushforward CategoryTheory.Presieve.functorPushforward
-- Porting note: removed @[nolint hasNonemptyInstance]
/-- An auxiliary definition in order to fix the choice of the preimages between various definitions.
-/
structure FunctorPushforwardStructure (S : Presieve X) {Y} (f : Y ⟶ F.obj X) where
/-- an object in the source category -/
preobj : C
/-- a map in the source category which has to be in the presieve -/
premap : preobj ⟶ X
/-- the morphism which appear in the factorisation -/
lift : Y ⟶ F.obj preobj
/-- the condition that `premap` is in the presieve -/
cover : S premap
/-- the factorisation of the morphism -/
fac : f = lift ≫ F.map premap
#align category_theory.presieve.functor_pushforward_structure CategoryTheory.Presieve.FunctorPushforwardStructure
/-- The fixed choice of a preimage. -/
noncomputable def getFunctorPushforwardStructure {F : C ⥤ D} {S : Presieve X} {Y : D}
{f : Y ⟶ F.obj X} (h : S.functorPushforward F f) : FunctorPushforwardStructure F S f := by
choose Z f' g h₁ h using h
exact ⟨Z, f', g, h₁, h⟩
#align category_theory.presieve.get_functor_pushforward_structure CategoryTheory.Presieve.getFunctorPushforwardStructure
theorem functorPushforward_comp (R : Presieve X) :
R.functorPushforward (F ⋙ G) = (R.functorPushforward F).functorPushforward G := by
funext x
ext f
constructor
· rintro ⟨X, f₁, g₁, h₁, rfl⟩
exact ⟨F.obj X, F.map f₁, g₁, ⟨X, f₁, 𝟙 _, h₁, by simp⟩, rfl⟩
· rintro ⟨X, f₁, g₁, ⟨X', f₂, g₂, h₁, rfl⟩, rfl⟩
exact ⟨X', f₂, g₁ ≫ G.map g₂, h₁, by simp⟩
#align category_theory.presieve.functor_pushforward_comp CategoryTheory.Presieve.functorPushforward_comp
theorem image_mem_functorPushforward (R : Presieve X) {f : Y ⟶ X} (h : R f) :
R.functorPushforward F (F.map f) :=
⟨Y, f, 𝟙 _, h, by simp⟩
#align category_theory.presieve.image_mem_functor_pushforward CategoryTheory.Presieve.image_mem_functorPushforward
end FunctorPushforward
end Presieve
/--
For an object `X` of a category `C`, a `Sieve X` is a set of morphisms to `X` which is closed under
left-composition.
-/
structure Sieve {C : Type u₁} [Category.{v₁} C] (X : C) where
/-- the underlying presieve -/
arrows : Presieve X
/-- stability by precomposition -/
downward_closed : ∀ {Y Z f} (_ : arrows f) (g : Z ⟶ Y), arrows (g ≫ f)
#align category_theory.sieve CategoryTheory.Sieve
namespace Sieve
instance : CoeFun (Sieve X) fun _ => Presieve X :=
⟨Sieve.arrows⟩
initialize_simps_projections Sieve (arrows → apply)
variable {S R : Sieve X}
attribute [simp] downward_closed
theorem arrows_ext : ∀ {R S : Sieve X}, R.arrows = S.arrows → R = S := by
rintro ⟨_, _⟩ ⟨_, _⟩ rfl
rfl
#align category_theory.sieve.arrows_ext CategoryTheory.Sieve.arrows_ext
@[ext]
protected theorem ext {R S : Sieve X} (h : ∀ ⦃Y⦄ (f : Y ⟶ X), R f ↔ S f) : R = S :=
arrows_ext <| funext fun _ => funext fun f => propext <| h f
#align category_theory.sieve.ext CategoryTheory.Sieve.ext
protected theorem ext_iff {R S : Sieve X} : R = S ↔ ∀ ⦃Y⦄ (f : Y ⟶ X), R f ↔ S f :=
⟨fun h _ _ => h ▸ Iff.rfl, Sieve.ext⟩
#align category_theory.sieve.ext_iff CategoryTheory.Sieve.ext_iff
open Lattice
/-- The supremum of a collection of sieves: the union of them all. -/
protected def sup (𝒮 : Set (Sieve X)) : Sieve X where
arrows Y := { f | ∃ S ∈ 𝒮, Sieve.arrows S f }
downward_closed {_ _ f} hf _ := by
obtain ⟨S, hS, hf⟩ := hf
exact ⟨S, hS, S.downward_closed hf _⟩
#align category_theory.sieve.Sup CategoryTheory.Sieve.sup
/-- The infimum of a collection of sieves: the intersection of them all. -/
protected def inf (𝒮 : Set (Sieve X)) : Sieve X where
arrows _ := { f | ∀ S ∈ 𝒮, Sieve.arrows S f }
downward_closed {_ _ _} hf g S H := S.downward_closed (hf S H) g
#align category_theory.sieve.Inf CategoryTheory.Sieve.inf
/-- The union of two sieves is a sieve. -/
protected def union (S R : Sieve X) : Sieve X where
arrows Y f := S f ∨ R f
downward_closed := by rintro _ _ _ (h | h) g <;> simp [h]
#align category_theory.sieve.union CategoryTheory.Sieve.union
/-- The intersection of two sieves is a sieve. -/
protected def inter (S R : Sieve X) : Sieve X where
arrows Y f := S f ∧ R f
downward_closed := by
rintro _ _ _ ⟨h₁, h₂⟩ g
simp [h₁, h₂]
#align category_theory.sieve.inter CategoryTheory.Sieve.inter
/-- Sieves on an object `X` form a complete lattice.
We generate this directly rather than using the galois insertion for nicer definitional properties.
-/
instance : CompleteLattice (Sieve X) where
le S R := ∀ ⦃Y⦄ (f : Y ⟶ X), S f → R f
le_refl S f q := id
le_trans S₁ S₂ S₃ S₁₂ S₂₃ Y f h := S₂₃ _ (S₁₂ _ h)
le_antisymm S R p q := Sieve.ext fun Y f => ⟨p _, q _⟩
top :=
{ arrows := fun _ => Set.univ
downward_closed := fun _ _ => ⟨⟩ }
bot :=
{ arrows := fun _ => ∅
downward_closed := False.elim }
sup := Sieve.union
inf := Sieve.inter
sSup := Sieve.sup
sInf := Sieve.inf
le_sSup 𝒮 S hS Y f hf := ⟨S, hS, hf⟩
sSup_le := fun s a ha Y f ⟨b, hb, hf⟩ => (ha b hb) _ hf
sInf_le _ _ hS _ _ h := h _ hS
le_sInf _ _ hS _ _ hf _ hR := hS _ hR _ hf
le_sup_left _ _ _ _ := Or.inl
le_sup_right _ _ _ _ := Or.inr
sup_le _ _ _ h₁ h₂ _ f := by--ℰ S hS Y f := by
rintro (hf | hf)
· exact h₁ _ hf
· exact h₂ _ hf
inf_le_left _ _ _ _ := And.left
inf_le_right _ _ _ _ := And.right
le_inf _ _ _ p q _ _ z := ⟨p _ z, q _ z⟩
le_top _ _ _ _ := trivial
bot_le _ _ _ := False.elim
/-- The maximal sieve always exists. -/
instance sieveInhabited : Inhabited (Sieve X) :=
⟨⊤⟩
#align category_theory.sieve.sieve_inhabited CategoryTheory.Sieve.sieveInhabited
@[simp]
theorem sInf_apply {Ss : Set (Sieve X)} {Y} (f : Y ⟶ X) :
sInf Ss f ↔ ∀ (S : Sieve X) (_ : S ∈ Ss), S f :=
Iff.rfl
#align category_theory.sieve.Inf_apply CategoryTheory.Sieve.sInf_apply
@[simp]
theorem sSup_apply {Ss : Set (Sieve X)} {Y} (f : Y ⟶ X) :
sSup Ss f ↔ ∃ (S : Sieve X) (_ : S ∈ Ss), S f := by
simp [sSup, Sieve.sup, setOf]
#align category_theory.sieve.Sup_apply CategoryTheory.Sieve.sSup_apply
@[simp]
theorem inter_apply {R S : Sieve X} {Y} (f : Y ⟶ X) : (R ⊓ S) f ↔ R f ∧ S f :=
Iff.rfl
#align category_theory.sieve.inter_apply CategoryTheory.Sieve.inter_apply
@[simp]
theorem union_apply {R S : Sieve X} {Y} (f : Y ⟶ X) : (R ⊔ S) f ↔ R f ∨ S f :=
Iff.rfl
#align category_theory.sieve.union_apply CategoryTheory.Sieve.union_apply
@[simp]
theorem top_apply (f : Y ⟶ X) : (⊤ : Sieve X) f :=
trivial
#align category_theory.sieve.top_apply CategoryTheory.Sieve.top_apply
/-- Generate the smallest sieve containing the given set of arrows. -/
@[simps]
def generate (R : Presieve X) : Sieve X where
arrows Z f := ∃ (Y : _) (h : Z ⟶ Y) (g : Y ⟶ X), R g ∧ h ≫ g = f
downward_closed := by
rintro Y Z _ ⟨W, g, f, hf, rfl⟩ h
exact ⟨_, h ≫ g, _, hf, by simp⟩
#align category_theory.sieve.generate CategoryTheory.Sieve.generate
/-- Given a presieve on `X`, and a sieve on each domain of an arrow in the presieve, we can bind to
produce a sieve on `X`.
-/
@[simps]
def bind (S : Presieve X) (R : ∀ ⦃Y⦄ ⦃f : Y ⟶ X⦄, S f → Sieve Y) : Sieve X where
arrows := S.bind fun Y f h => R h
downward_closed := by
rintro Y Z f ⟨W, f, h, hh, hf, rfl⟩ g
exact ⟨_, g ≫ f, _, hh, by simp [hf]⟩
#align category_theory.sieve.bind CategoryTheory.Sieve.bind
open Order Lattice
theorem sets_iff_generate (R : Presieve X) (S : Sieve X) : generate R ≤ S ↔ R ≤ S :=
⟨fun H Y g hg => H _ ⟨_, 𝟙 _, _, hg, id_comp _⟩, fun ss Y f => by
rintro ⟨Z, f, g, hg, rfl⟩
exact S.downward_closed (ss Z hg) f⟩
#align category_theory.sieve.sets_iff_generate CategoryTheory.Sieve.sets_iff_generate
/-- Show that there is a galois insertion (generate, set_over). -/
def giGenerate : GaloisInsertion (generate : Presieve X → Sieve X) arrows where
gc := sets_iff_generate
choice 𝒢 _ := generate 𝒢
choice_eq _ _ := rfl
le_l_u _ _ _ hf := ⟨_, 𝟙 _, _, hf, id_comp _⟩
#align category_theory.sieve.gi_generate CategoryTheory.Sieve.giGenerate
theorem le_generate (R : Presieve X) : R ≤ generate R :=
giGenerate.gc.le_u_l R
#align category_theory.sieve.le_generate CategoryTheory.Sieve.le_generate
@[simp]
theorem generate_sieve (S : Sieve X) : generate S = S :=
giGenerate.l_u_eq S
#align category_theory.sieve.generate_sieve CategoryTheory.Sieve.generate_sieve
/-- If the identity arrow is in a sieve, the sieve is maximal. -/
theorem id_mem_iff_eq_top : S (𝟙 X) ↔ S = ⊤ :=
⟨fun h => top_unique fun Y f _ => by simpa using downward_closed _ h f, fun h => h.symm ▸ trivial⟩
#align category_theory.sieve.id_mem_iff_eq_top CategoryTheory.Sieve.id_mem_iff_eq_top
/-- If an arrow set contains a split epi, it generates the maximal sieve. -/
theorem generate_of_contains_isSplitEpi {R : Presieve X} (f : Y ⟶ X) [IsSplitEpi f] (hf : R f) :
generate R = ⊤ := by
rw [← id_mem_iff_eq_top]
exact ⟨_, section_ f, f, hf, by simp⟩
#align category_theory.sieve.generate_of_contains_is_split_epi CategoryTheory.Sieve.generate_of_contains_isSplitEpi
@[simp]
theorem generate_of_singleton_isSplitEpi (f : Y ⟶ X) [IsSplitEpi f] :
generate (Presieve.singleton f) = ⊤ :=
generate_of_contains_isSplitEpi f (Presieve.singleton_self _)
#align category_theory.sieve.generate_of_singleton_is_split_epi CategoryTheory.Sieve.generate_of_singleton_isSplitEpi
@[simp]
theorem generate_top : generate (⊤ : Presieve X) = ⊤ :=
generate_of_contains_isSplitEpi (𝟙 _) ⟨⟩
#align category_theory.sieve.generate_top CategoryTheory.Sieve.generate_top
/-- The sieve of `X` generated by family of morphisms `Y i ⟶ X`. -/
abbrev ofArrows {I : Type*} {X : C} (Y : I → C) (f : ∀ i, Y i ⟶ X) :
Sieve X :=
generate (Presieve.ofArrows Y f)
lemma ofArrows_mk {I : Type*} {X : C} (Y : I → C) (f : ∀ i, Y i ⟶ X) (i : I) :
ofArrows Y f (f i) :=
⟨_, 𝟙 _, _, ⟨i⟩, by simp⟩
lemma mem_ofArrows_iff {I : Type*} {X : C} (Y : I → C) (f : ∀ i, Y i ⟶ X)
{W : C} (g : W ⟶ X) :
ofArrows Y f g ↔ ∃ (i : I) (a : W ⟶ Y i), g = a ≫ f i := by
constructor
· rintro ⟨T, a, b, ⟨i⟩, rfl⟩
exact ⟨i, a, rfl⟩
· rintro ⟨i, a, rfl⟩
apply downward_closed _ (ofArrows_mk Y f i)
/-- The sieve of `X : C` that is generated by a family of objects `Y : I → C`:
it consists of morphisms to `X` which factor through at least one of the `Y i`. -/
def ofObjects {I : Type*} (Y : I → C) (X : C) : Sieve X where
arrows Z _ := ∃ (i : I), Nonempty (Z ⟶ Y i)
downward_closed := by
rintro Z₁ Z₂ p ⟨i, ⟨f⟩⟩ g
exact ⟨i, ⟨g ≫ f⟩⟩
lemma mem_ofObjects_iff {I : Type*} (Y : I → C) {Z X : C} (g : Z ⟶ X) :
ofObjects Y X g ↔ ∃ (i : I), Nonempty (Z ⟶ Y i) := by rfl
lemma ofArrows_le_ofObjects
{I : Type*} (Y : I → C) {X : C} (f : ∀ i, Y i ⟶ X) :
Sieve.ofArrows Y f ≤ Sieve.ofObjects Y X := by
intro W g hg
rw [mem_ofArrows_iff] at hg
obtain ⟨i, a, rfl⟩ := hg
exact ⟨i, ⟨a⟩⟩
lemma ofArrows_eq_ofObjects {X : C} (hX : IsTerminal X)
{I : Type*} (Y : I → C) (f : ∀ i, Y i ⟶ X) :
ofArrows Y f = ofObjects Y X := by
refine le_antisymm (ofArrows_le_ofObjects Y f) (fun W g => ?_)
rw [mem_ofArrows_iff, mem_ofObjects_iff]
rintro ⟨i, ⟨h⟩⟩
exact ⟨i, h, hX.hom_ext _ _⟩
/-- Given a morphism `h : Y ⟶ X`, send a sieve S on X to a sieve on Y
as the inverse image of S with `_ ≫ h`.
That is, `Sieve.pullback S h := (≫ h) '⁻¹ S`. -/
@[simps]
def pullback (h : Y ⟶ X) (S : Sieve X) : Sieve Y where
arrows Y sl := S (sl ≫ h)
downward_closed g := by simp [g]
#align category_theory.sieve.pullback CategoryTheory.Sieve.pullback
@[simp]
theorem pullback_id : S.pullback (𝟙 _) = S := by simp [Sieve.ext_iff]
#align category_theory.sieve.pullback_id CategoryTheory.Sieve.pullback_id
@[simp]
theorem pullback_top {f : Y ⟶ X} : (⊤ : Sieve X).pullback f = ⊤ :=
top_unique fun _ _ => id
#align category_theory.sieve.pullback_top CategoryTheory.Sieve.pullback_top
theorem pullback_comp {f : Y ⟶ X} {g : Z ⟶ Y} (S : Sieve X) :
S.pullback (g ≫ f) = (S.pullback f).pullback g := by simp [Sieve.ext_iff]
#align category_theory.sieve.pullback_comp CategoryTheory.Sieve.pullback_comp
@[simp]
| Mathlib/CategoryTheory/Sites/Sieves.lean | 535 | 536 | theorem pullback_inter {f : Y ⟶ X} (S R : Sieve X) :
(S ⊓ R).pullback f = S.pullback f ⊓ R.pullback f := by | simp [Sieve.ext_iff]
|
/-
Copyright (c) 2018 Simon Hudon. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Simon Hudon
-/
import Mathlib.Control.Applicative
import Mathlib.Control.Traversable.Basic
import Mathlib.Data.List.Forall2
import Mathlib.Data.Set.Functor
#align_import control.traversable.instances from "leanprover-community/mathlib"@"18a5306c091183ac90884daa9373fa3b178e8607"
/-!
# LawfulTraversable instances
This file provides instances of `LawfulTraversable` for types from the core library: `Option`,
`List` and `Sum`.
-/
universe u v
section Option
open Functor
variable {F G : Type u → Type u}
variable [Applicative F] [Applicative G]
variable [LawfulApplicative F] [LawfulApplicative G]
theorem Option.id_traverse {α} (x : Option α) : Option.traverse (pure : α → Id α) x = x := by
cases x <;> rfl
#align option.id_traverse Option.id_traverse
theorem Option.comp_traverse {α β γ} (f : β → F γ) (g : α → G β) (x : Option α) :
Option.traverse (Comp.mk ∘ (f <$> ·) ∘ g) x =
Comp.mk (Option.traverse f <$> Option.traverse g x) := by
cases x <;> simp! [functor_norm] <;> rfl
#align option.comp_traverse Option.comp_traverse
theorem Option.traverse_eq_map_id {α β} (f : α → β) (x : Option α) :
Option.traverse ((pure : _ → Id _) ∘ f) x = (pure : _ → Id _) (f <$> x) := by cases x <;> rfl
#align option.traverse_eq_map_id Option.traverse_eq_map_id
variable (η : ApplicativeTransformation F G)
| Mathlib/Control/Traversable/Instances.lean | 47 | 51 | theorem Option.naturality {α β} (f : α → F β) (x : Option α) :
η (Option.traverse f x) = Option.traverse (@η _ ∘ f) x := by |
-- Porting note: added `ApplicativeTransformation` theorems
cases' x with x <;> simp! [*, functor_norm, ApplicativeTransformation.preserves_map,
ApplicativeTransformation.preserves_seq, ApplicativeTransformation.preserves_pure]
|
/-
Copyright (c) 2021 Andrew Yang. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Andrew Yang
-/
import Mathlib.RingTheory.FiniteType
import Mathlib.RingTheory.Localization.AtPrime
import Mathlib.RingTheory.Localization.Away.Basic
import Mathlib.RingTheory.Localization.Integer
import Mathlib.RingTheory.Localization.Submodule
import Mathlib.RingTheory.Nilpotent.Lemmas
import Mathlib.RingTheory.RingHomProperties
import Mathlib.Data.Set.Subsingleton
#align_import ring_theory.local_properties from "leanprover-community/mathlib"@"a7c017d750512a352b623b1824d75da5998457d0"
/-!
# Local properties of commutative rings
In this file, we provide the proofs of various local properties.
## Naming Conventions
* `localization_P` : `P` holds for `S⁻¹R` if `P` holds for `R`.
* `P_of_localization_maximal` : `P` holds for `R` if `P` holds for `Rₘ` for all maximal `m`.
* `P_of_localization_prime` : `P` holds for `R` if `P` holds for `Rₘ` for all prime `m`.
* `P_ofLocalizationSpan` : `P` holds for `R` if given a spanning set `{fᵢ}`, `P` holds for all
`R_{fᵢ}`.
## Main results
The following properties are covered:
* The triviality of an ideal or an element:
`ideal_eq_bot_of_localization`, `eq_zero_of_localization`
* `isReduced` : `localization_isReduced`, `isReduced_of_localization_maximal`.
* `finite`: `localization_finite`, `finite_ofLocalizationSpan`
* `finiteType`: `localization_finiteType`, `finiteType_ofLocalizationSpan`
-/
open scoped Pointwise Classical
universe u
variable {R S : Type u} [CommRing R] [CommRing S] (M : Submonoid R)
variable (N : Submonoid S) (R' S' : Type u) [CommRing R'] [CommRing S'] (f : R →+* S)
variable [Algebra R R'] [Algebra S S']
section Properties
section CommRing
variable (P : ∀ (R : Type u) [CommRing R], Prop)
/-- A property `P` of comm rings is said to be preserved by localization
if `P` holds for `M⁻¹R` whenever `P` holds for `R`. -/
def LocalizationPreserves : Prop :=
∀ {R : Type u} [hR : CommRing R] (M : Submonoid R) (S : Type u) [hS : CommRing S] [Algebra R S]
[IsLocalization M S], @P R hR → @P S hS
#align localization_preserves LocalizationPreserves
/-- A property `P` of comm rings satisfies `OfLocalizationMaximal`
if `P` holds for `R` whenever `P` holds for `Rₘ` for all maximal ideal `m`. -/
def OfLocalizationMaximal : Prop :=
∀ (R : Type u) [CommRing R],
(∀ (J : Ideal R) (_ : J.IsMaximal), P (Localization.AtPrime J)) → P R
#align of_localization_maximal OfLocalizationMaximal
end CommRing
section RingHom
variable (P : ∀ {R S : Type u} [CommRing R] [CommRing S] (_ : R →+* S), Prop)
/-- A property `P` of ring homs is said to be preserved by localization
if `P` holds for `M⁻¹R →+* M⁻¹S` whenever `P` holds for `R →+* S`. -/
def RingHom.LocalizationPreserves :=
∀ ⦃R S : Type u⦄ [CommRing R] [CommRing S] (f : R →+* S) (M : Submonoid R) (R' S' : Type u)
[CommRing R'] [CommRing S'] [Algebra R R'] [Algebra S S'] [IsLocalization M R']
[IsLocalization (M.map f) S'],
P f → P (IsLocalization.map S' f (Submonoid.le_comap_map M) : R' →+* S')
#align ring_hom.localization_preserves RingHom.LocalizationPreserves
/-- A property `P` of ring homs satisfies `RingHom.OfLocalizationFiniteSpan`
if `P` holds for `R →+* S` whenever there exists a finite set `{ r }` that spans `R` such that
`P` holds for `Rᵣ →+* Sᵣ`.
Note that this is equivalent to `RingHom.OfLocalizationSpan` via
`RingHom.ofLocalizationSpan_iff_finite`, but this is easier to prove. -/
def RingHom.OfLocalizationFiniteSpan :=
∀ ⦃R S : Type u⦄ [CommRing R] [CommRing S] (f : R →+* S) (s : Finset R)
(_ : Ideal.span (s : Set R) = ⊤) (_ : ∀ r : s, P (Localization.awayMap f r)), P f
#align ring_hom.of_localization_finite_span RingHom.OfLocalizationFiniteSpan
/-- A property `P` of ring homs satisfies `RingHom.OfLocalizationFiniteSpan`
if `P` holds for `R →+* S` whenever there exists a set `{ r }` that spans `R` such that
`P` holds for `Rᵣ →+* Sᵣ`.
Note that this is equivalent to `RingHom.OfLocalizationFiniteSpan` via
`RingHom.ofLocalizationSpan_iff_finite`, but this has less restrictions when applying. -/
def RingHom.OfLocalizationSpan :=
∀ ⦃R S : Type u⦄ [CommRing R] [CommRing S] (f : R →+* S) (s : Set R) (_ : Ideal.span s = ⊤)
(_ : ∀ r : s, P (Localization.awayMap f r)), P f
#align ring_hom.of_localization_span RingHom.OfLocalizationSpan
/-- A property `P` of ring homs satisfies `RingHom.HoldsForLocalizationAway`
if `P` holds for each localization map `R →+* Rᵣ`. -/
def RingHom.HoldsForLocalizationAway : Prop :=
∀ ⦃R : Type u⦄ (S : Type u) [CommRing R] [CommRing S] [Algebra R S] (r : R)
[IsLocalization.Away r S], P (algebraMap R S)
#align ring_hom.holds_for_localization_away RingHom.HoldsForLocalizationAway
/-- A property `P` of ring homs satisfies `RingHom.OfLocalizationFiniteSpanTarget`
if `P` holds for `R →+* S` whenever there exists a finite set `{ r }` that spans `S` such that
`P` holds for `R →+* Sᵣ`.
Note that this is equivalent to `RingHom.OfLocalizationSpanTarget` via
`RingHom.ofLocalizationSpanTarget_iff_finite`, but this is easier to prove. -/
def RingHom.OfLocalizationFiniteSpanTarget : Prop :=
∀ ⦃R S : Type u⦄ [CommRing R] [CommRing S] (f : R →+* S) (s : Finset S)
(_ : Ideal.span (s : Set S) = ⊤)
(_ : ∀ r : s, P ((algebraMap S (Localization.Away (r : S))).comp f)), P f
#align ring_hom.of_localization_finite_span_target RingHom.OfLocalizationFiniteSpanTarget
/-- A property `P` of ring homs satisfies `RingHom.OfLocalizationSpanTarget`
if `P` holds for `R →+* S` whenever there exists a set `{ r }` that spans `S` such that
`P` holds for `R →+* Sᵣ`.
Note that this is equivalent to `RingHom.OfLocalizationFiniteSpanTarget` via
`RingHom.ofLocalizationSpanTarget_iff_finite`, but this has less restrictions when applying. -/
def RingHom.OfLocalizationSpanTarget : Prop :=
∀ ⦃R S : Type u⦄ [CommRing R] [CommRing S] (f : R →+* S) (s : Set S) (_ : Ideal.span s = ⊤)
(_ : ∀ r : s, P ((algebraMap S (Localization.Away (r : S))).comp f)), P f
#align ring_hom.of_localization_span_target RingHom.OfLocalizationSpanTarget
/-- A property `P` of ring homs satisfies `RingHom.OfLocalizationPrime`
if `P` holds for `R` whenever `P` holds for `Rₘ` for all prime ideals `p`. -/
def RingHom.OfLocalizationPrime : Prop :=
∀ ⦃R S : Type u⦄ [CommRing R] [CommRing S] (f : R →+* S),
(∀ (J : Ideal S) (_ : J.IsPrime), P (Localization.localRingHom _ J f rfl)) → P f
#align ring_hom.of_localization_prime RingHom.OfLocalizationPrime
/-- A property of ring homs is local if it is preserved by localizations and compositions, and for
each `{ r }` that spans `S`, we have `P (R →+* S) ↔ ∀ r, P (R →+* Sᵣ)`. -/
structure RingHom.PropertyIsLocal : Prop where
LocalizationPreserves : RingHom.LocalizationPreserves @P
OfLocalizationSpanTarget : RingHom.OfLocalizationSpanTarget @P
StableUnderComposition : RingHom.StableUnderComposition @P
HoldsForLocalizationAway : RingHom.HoldsForLocalizationAway @P
#align ring_hom.property_is_local RingHom.PropertyIsLocal
theorem RingHom.ofLocalizationSpan_iff_finite :
RingHom.OfLocalizationSpan @P ↔ RingHom.OfLocalizationFiniteSpan @P := by
delta RingHom.OfLocalizationSpan RingHom.OfLocalizationFiniteSpan
apply forall₅_congr
-- TODO: Using `refine` here breaks `resetI`.
intros
constructor
· intro h s; exact h s
· intro h s hs hs'
obtain ⟨s', h₁, h₂⟩ := (Ideal.span_eq_top_iff_finite s).mp hs
exact h s' h₂ fun x => hs' ⟨_, h₁ x.prop⟩
#align ring_hom.of_localization_span_iff_finite RingHom.ofLocalizationSpan_iff_finite
theorem RingHom.ofLocalizationSpanTarget_iff_finite :
RingHom.OfLocalizationSpanTarget @P ↔ RingHom.OfLocalizationFiniteSpanTarget @P := by
delta RingHom.OfLocalizationSpanTarget RingHom.OfLocalizationFiniteSpanTarget
apply forall₅_congr
-- TODO: Using `refine` here breaks `resetI`.
intros
constructor
· intro h s; exact h s
· intro h s hs hs'
obtain ⟨s', h₁, h₂⟩ := (Ideal.span_eq_top_iff_finite s).mp hs
exact h s' h₂ fun x => hs' ⟨_, h₁ x.prop⟩
#align ring_hom.of_localization_span_target_iff_finite RingHom.ofLocalizationSpanTarget_iff_finite
variable {P f R' S'}
theorem RingHom.PropertyIsLocal.respectsIso (hP : RingHom.PropertyIsLocal @P) :
RingHom.RespectsIso @P := by
apply hP.StableUnderComposition.respectsIso
introv
letI := e.toRingHom.toAlgebra
-- Porting note: was `apply_with hP.holds_for_localization_away { instances := ff }`
have : IsLocalization.Away (1 : R) S := by
apply IsLocalization.away_of_isUnit_of_bijective _ isUnit_one e.bijective
exact RingHom.PropertyIsLocal.HoldsForLocalizationAway hP S (1 : R)
#align ring_hom.property_is_local.respects_iso RingHom.PropertyIsLocal.respectsIso
-- Almost all arguments are implicit since this is not intended to use mid-proof.
theorem RingHom.LocalizationPreserves.away (H : RingHom.LocalizationPreserves @P) (r : R)
[IsLocalization.Away r R'] [IsLocalization.Away (f r) S'] (hf : P f) :
P (IsLocalization.Away.map R' S' f r) := by
have : IsLocalization ((Submonoid.powers r).map f) S' := by rw [Submonoid.map_powers]; assumption
exact H f (Submonoid.powers r) R' S' hf
#align ring_hom.localization_preserves.away RingHom.LocalizationPreserves.away
theorem RingHom.PropertyIsLocal.ofLocalizationSpan (hP : RingHom.PropertyIsLocal @P) :
RingHom.OfLocalizationSpan @P := by
introv R hs hs'
apply_fun Ideal.map f at hs
rw [Ideal.map_span, Ideal.map_top] at hs
apply hP.OfLocalizationSpanTarget _ _ hs
rintro ⟨_, r, hr, rfl⟩
convert hP.StableUnderComposition
_ _ (hP.HoldsForLocalizationAway (Localization.Away r) r) (hs' ⟨r, hr⟩) using 1
exact (IsLocalization.map_comp _).symm
#align ring_hom.property_is_local.of_localization_span RingHom.PropertyIsLocal.ofLocalizationSpan
lemma RingHom.OfLocalizationSpanTarget.ofIsLocalization
(hP : RingHom.OfLocalizationSpanTarget P) (hP' : RingHom.RespectsIso P)
{R S : Type u} [CommRing R] [CommRing S] (f : R →+* S) (s : Set S) (hs : Ideal.span s = ⊤)
(hT : ∀ r : s, ∃ (T : Type u) (_ : CommRing T) (_ : Algebra S T)
(_ : IsLocalization.Away (r : S) T), P ((algebraMap S T).comp f)) : P f := by
apply hP _ s hs
intros r
obtain ⟨T, _, _, _, hT⟩ := hT r
convert hP'.1 _
(Localization.algEquiv (R := S) (Submonoid.powers (r : S)) T).symm.toRingEquiv hT
rw [← RingHom.comp_assoc, RingEquiv.toRingHom_eq_coe, AlgEquiv.toRingEquiv_eq_coe,
AlgEquiv.toRingEquiv_toRingHom, Localization.coe_algEquiv_symm, IsLocalization.map_comp,
RingHom.comp_id]
end RingHom
end Properties
section Ideal
open scoped nonZeroDivisors
/-- Let `I J : Ideal R`. If the localization of `I` at each maximal ideal `P` is included in
the localization of `J` at `P`, then `I ≤ J`. -/
theorem Ideal.le_of_localization_maximal {I J : Ideal R}
(h : ∀ (P : Ideal R) (hP : P.IsMaximal),
Ideal.map (algebraMap R (Localization.AtPrime P)) I ≤
Ideal.map (algebraMap R (Localization.AtPrime P)) J) :
I ≤ J := by
intro x hx
suffices J.colon (Ideal.span {x}) = ⊤ by
simpa using Submodule.mem_colon.mp
(show (1 : R) ∈ J.colon (Ideal.span {x}) from this.symm ▸ Submodule.mem_top) x
(Ideal.mem_span_singleton_self x)
refine Not.imp_symm (J.colon (Ideal.span {x})).exists_le_maximal ?_
push_neg
intro P hP le
obtain ⟨⟨⟨a, ha⟩, ⟨s, hs⟩⟩, eq⟩ :=
(IsLocalization.mem_map_algebraMap_iff P.primeCompl _).mp (h P hP (Ideal.mem_map_of_mem _ hx))
rw [← _root_.map_mul, ← sub_eq_zero, ← map_sub] at eq
obtain ⟨⟨m, hm⟩, eq⟩ := (IsLocalization.map_eq_zero_iff P.primeCompl _ _).mp eq
refine hs ((hP.isPrime.mem_or_mem (le (Ideal.mem_colon_singleton.mpr ?_))).resolve_right hm)
simp only [Subtype.coe_mk, mul_sub, sub_eq_zero, mul_comm x s, mul_left_comm] at eq
simpa only [mul_assoc, eq] using J.mul_mem_left m ha
#align ideal.le_of_localization_maximal Ideal.le_of_localization_maximal
/-- Let `I J : Ideal R`. If the localization of `I` at each maximal ideal `P` is equal to
the localization of `J` at `P`, then `I = J`. -/
theorem Ideal.eq_of_localization_maximal {I J : Ideal R}
(h : ∀ (P : Ideal R) (_ : P.IsMaximal),
Ideal.map (algebraMap R (Localization.AtPrime P)) I =
Ideal.map (algebraMap R (Localization.AtPrime P)) J) :
I = J :=
le_antisymm (Ideal.le_of_localization_maximal fun P hP => (h P hP).le)
(Ideal.le_of_localization_maximal fun P hP => (h P hP).ge)
#align ideal.eq_of_localization_maximal Ideal.eq_of_localization_maximal
/-- An ideal is trivial if its localization at every maximal ideal is trivial. -/
theorem ideal_eq_bot_of_localization' (I : Ideal R)
(h : ∀ (J : Ideal R) (hJ : J.IsMaximal),
Ideal.map (algebraMap R (Localization.AtPrime J)) I = ⊥) :
I = ⊥ :=
Ideal.eq_of_localization_maximal fun P hP => by simpa using h P hP
#align ideal_eq_bot_of_localization' ideal_eq_bot_of_localization'
-- TODO: This proof should work for all modules, once we have enough material on submodules of
-- localized modules.
/-- An ideal is trivial if its localization at every maximal ideal is trivial. -/
theorem ideal_eq_bot_of_localization (I : Ideal R)
(h : ∀ (J : Ideal R) (hJ : J.IsMaximal),
IsLocalization.coeSubmodule (Localization.AtPrime J) I = ⊥) :
I = ⊥ :=
ideal_eq_bot_of_localization' _ fun P hP =>
(Ideal.map_eq_bot_iff_le_ker _).mpr fun x hx => by
rw [RingHom.mem_ker, ← Submodule.mem_bot R, ← h P hP, IsLocalization.mem_coeSubmodule]
exact ⟨x, hx, rfl⟩
#align ideal_eq_bot_of_localization ideal_eq_bot_of_localization
| Mathlib/RingTheory/LocalProperties.lean | 290 | 300 | theorem eq_zero_of_localization (r : R)
(h : ∀ (J : Ideal R) (hJ : J.IsMaximal), algebraMap R (Localization.AtPrime J) r = 0) :
r = 0 := by |
rw [← Ideal.span_singleton_eq_bot]
apply ideal_eq_bot_of_localization
intro J hJ
delta IsLocalization.coeSubmodule
erw [Submodule.map_span, Submodule.span_eq_bot]
rintro _ ⟨_, h', rfl⟩
cases Set.mem_singleton_iff.mpr h'
exact h J hJ
|
/-
Copyright (c) 2022 Heather Macbeth. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Heather Macbeth
-/
import Mathlib.Order.ConditionallyCompleteLattice.Basic
import Mathlib.Order.LatticeIntervals
import Mathlib.Order.Interval.Set.OrdConnected
#align_import order.complete_lattice_intervals from "leanprover-community/mathlib"@"207cfac9fcd06138865b5d04f7091e46d9320432"
/-! # Subtypes of conditionally complete linear orders
In this file we give conditions on a subset of a conditionally complete linear order, to ensure that
the subtype is itself conditionally complete.
We check that an `OrdConnected` set satisfies these conditions.
## TODO
Add appropriate instances for all `Set.Ixx`. This requires a refactor that will allow different
default values for `sSup` and `sInf`.
-/
open scoped Classical
open Set
variable {ι : Sort*} {α : Type*} (s : Set α)
section SupSet
variable [Preorder α] [SupSet α]
/-- `SupSet` structure on a nonempty subset `s` of a preorder with `SupSet`. This definition is
non-canonical (it uses `default s`); it should be used only as here, as an auxiliary instance in the
construction of the `ConditionallyCompleteLinearOrder` structure. -/
noncomputable def subsetSupSet [Inhabited s] : SupSet s where
sSup t :=
if ht : t.Nonempty ∧ BddAbove t ∧ sSup ((↑) '' t : Set α) ∈ s
then ⟨sSup ((↑) '' t : Set α), ht.2.2⟩
else default
#align subset_has_Sup subsetSupSet
attribute [local instance] subsetSupSet
@[simp]
theorem subset_sSup_def [Inhabited s] :
@sSup s _ = fun t =>
if ht : t.Nonempty ∧ BddAbove t ∧ sSup ((↑) '' t : Set α) ∈ s
then ⟨sSup ((↑) '' t : Set α), ht.2.2⟩
else default :=
rfl
#align subset_Sup_def subset_sSup_def
theorem subset_sSup_of_within [Inhabited s] {t : Set s}
(h' : t.Nonempty) (h'' : BddAbove t) (h : sSup ((↑) '' t : Set α) ∈ s) :
sSup ((↑) '' t : Set α) = (@sSup s _ t : α) := by simp [dif_pos, h, h', h'']
#align subset_Sup_of_within subset_sSup_of_within
theorem subset_sSup_emptyset [Inhabited s] :
sSup (∅ : Set s) = default := by
simp [sSup]
theorem subset_sSup_of_not_bddAbove [Inhabited s] {t : Set s} (ht : ¬BddAbove t) :
sSup t = default := by
simp [sSup, ht]
end SupSet
section InfSet
variable [Preorder α] [InfSet α]
/-- `InfSet` structure on a nonempty subset `s` of a preorder with `InfSet`. This definition is
non-canonical (it uses `default s`); it should be used only as here, as an auxiliary instance in the
construction of the `ConditionallyCompleteLinearOrder` structure. -/
noncomputable def subsetInfSet [Inhabited s] : InfSet s where
sInf t :=
if ht : t.Nonempty ∧ BddBelow t ∧ sInf ((↑) '' t : Set α) ∈ s
then ⟨sInf ((↑) '' t : Set α), ht.2.2⟩
else default
#align subset_has_Inf subsetInfSet
attribute [local instance] subsetInfSet
@[simp]
theorem subset_sInf_def [Inhabited s] :
@sInf s _ = fun t =>
if ht : t.Nonempty ∧ BddBelow t ∧ sInf ((↑) '' t : Set α) ∈ s
then ⟨sInf ((↑) '' t : Set α), ht.2.2⟩ else
default :=
rfl
#align subset_Inf_def subset_sInf_def
theorem subset_sInf_of_within [Inhabited s] {t : Set s}
(h' : t.Nonempty) (h'' : BddBelow t) (h : sInf ((↑) '' t : Set α) ∈ s) :
sInf ((↑) '' t : Set α) = (@sInf s _ t : α) := by simp [dif_pos, h, h', h'']
#align subset_Inf_of_within subset_sInf_of_within
theorem subset_sInf_emptyset [Inhabited s] :
sInf (∅ : Set s) = default := by
simp [sInf]
theorem subset_sInf_of_not_bddBelow [Inhabited s] {t : Set s} (ht : ¬BddBelow t) :
sInf t = default := by
simp [sInf, ht]
end InfSet
section OrdConnected
variable [ConditionallyCompleteLinearOrder α]
attribute [local instance] subsetSupSet
attribute [local instance] subsetInfSet
/-- For a nonempty subset of a conditionally complete linear order to be a conditionally complete
linear order, it suffices that it contain the `sSup` of all its nonempty bounded-above subsets, and
the `sInf` of all its nonempty bounded-below subsets.
See note [reducible non-instances]. -/
noncomputable abbrev subsetConditionallyCompleteLinearOrder [Inhabited s]
(h_Sup : ∀ {t : Set s} (_ : t.Nonempty) (_h_bdd : BddAbove t), sSup ((↑) '' t : Set α) ∈ s)
(h_Inf : ∀ {t : Set s} (_ : t.Nonempty) (_h_bdd : BddBelow t), sInf ((↑) '' t : Set α) ∈ s) :
ConditionallyCompleteLinearOrder s :=
{ subsetSupSet s, subsetInfSet s, DistribLattice.toLattice, (inferInstance : LinearOrder s) with
le_csSup := by
rintro t c h_bdd hct
rw [← Subtype.coe_le_coe, ← subset_sSup_of_within s ⟨c, hct⟩ h_bdd (h_Sup ⟨c, hct⟩ h_bdd)]
exact (Subtype.mono_coe _).le_csSup_image hct h_bdd
csSup_le := by
rintro t B ht hB
rw [← Subtype.coe_le_coe, ← subset_sSup_of_within s ht ⟨B, hB⟩ (h_Sup ht ⟨B, hB⟩)]
exact (Subtype.mono_coe s).csSup_image_le ht hB
le_csInf := by
intro t B ht hB
rw [← Subtype.coe_le_coe, ← subset_sInf_of_within s ht ⟨B, hB⟩ (h_Inf ht ⟨B, hB⟩)]
exact (Subtype.mono_coe s).le_csInf_image ht hB
csInf_le := by
rintro t c h_bdd hct
rw [← Subtype.coe_le_coe, ← subset_sInf_of_within s ⟨c, hct⟩ h_bdd (h_Inf ⟨c, hct⟩ h_bdd)]
exact (Subtype.mono_coe s).csInf_image_le hct h_bdd
csSup_of_not_bddAbove := fun t ht ↦ by simp [ht]
csInf_of_not_bddBelow := fun t ht ↦ by simp [ht] }
#align subset_conditionally_complete_linear_order subsetConditionallyCompleteLinearOrder
/-- The `sSup` function on a nonempty `OrdConnected` set `s` in a conditionally complete linear
order takes values within `s`, for all nonempty bounded-above subsets of `s`. -/
theorem sSup_within_of_ordConnected {s : Set α} [hs : OrdConnected s] ⦃t : Set s⦄ (ht : t.Nonempty)
(h_bdd : BddAbove t) : sSup ((↑) '' t : Set α) ∈ s := by
obtain ⟨c, hct⟩ : ∃ c, c ∈ t := ht
obtain ⟨B, hB⟩ : ∃ B, B ∈ upperBounds t := h_bdd
refine hs.out c.2 B.2 ⟨?_, ?_⟩
· exact (Subtype.mono_coe s).le_csSup_image hct ⟨B, hB⟩
· exact (Subtype.mono_coe s).csSup_image_le ⟨c, hct⟩ hB
#align Sup_within_of_ord_connected sSup_within_of_ordConnected
/-- The `sInf` function on a nonempty `OrdConnected` set `s` in a conditionally complete linear
order takes values within `s`, for all nonempty bounded-below subsets of `s`. -/
| Mathlib/Order/CompleteLatticeIntervals.lean | 162 | 168 | theorem sInf_within_of_ordConnected {s : Set α} [hs : OrdConnected s] ⦃t : Set s⦄ (ht : t.Nonempty)
(h_bdd : BddBelow t) : sInf ((↑) '' t : Set α) ∈ s := by |
obtain ⟨c, hct⟩ : ∃ c, c ∈ t := ht
obtain ⟨B, hB⟩ : ∃ B, B ∈ lowerBounds t := h_bdd
refine hs.out B.2 c.2 ⟨?_, ?_⟩
· exact (Subtype.mono_coe s).le_csInf_image ⟨c, hct⟩ hB
· exact (Subtype.mono_coe s).csInf_image_le hct ⟨B, hB⟩
|
/-
Copyright (c) 2022 Andrew Yang. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Andrew Yang
-/
import Mathlib.Algebra.Polynomial.Module.Basic
import Mathlib.Algebra.Ring.Idempotents
import Mathlib.RingTheory.Ideal.LocalRing
import Mathlib.RingTheory.Noetherian
import Mathlib.RingTheory.ReesAlgebra
import Mathlib.RingTheory.Finiteness
import Mathlib.Order.Basic
import Mathlib.Order.Hom.Lattice
#align_import ring_theory.filtration from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a"
/-!
# `I`-filtrations of modules
This file contains the definitions and basic results around (stable) `I`-filtrations of modules.
## Main results
- `Ideal.Filtration`:
An `I`-filtration on the module `M` is a sequence of decreasing submodules `N i` such that
`∀ i, I • (N i) ≤ N (i + 1)`. Note that we do not require the filtration to start from `⊤`.
- `Ideal.Filtration.Stable`: An `I`-filtration is stable if `I • (N i) = N (i + 1)` for large
enough `i`.
- `Ideal.Filtration.submodule`: The associated module `⨁ Nᵢ` of a filtration, implemented as a
submodule of `M[X]`.
- `Ideal.Filtration.submodule_fg_iff_stable`: If `F.N i` are all finitely generated, then
`F.Stable` iff `F.submodule.FG`.
- `Ideal.Filtration.Stable.of_le`: In a finite module over a noetherian ring,
if `F' ≤ F`, then `F.Stable → F'.Stable`.
- `Ideal.exists_pow_inf_eq_pow_smul`: **Artin-Rees lemma**.
given `N ≤ M`, there exists a `k` such that `IⁿM ⊓ N = Iⁿ⁻ᵏ(IᵏM ⊓ N)` for all `n ≥ k`.
- `Ideal.iInf_pow_eq_bot_of_localRing`:
**Krull's intersection theorem** (`⨅ i, I ^ i = ⊥`) for noetherian local rings.
- `Ideal.iInf_pow_eq_bot_of_isDomain`:
**Krull's intersection theorem** (`⨅ i, I ^ i = ⊥`) for noetherian domains.
-/
universe u v
variable {R M : Type u} [CommRing R] [AddCommGroup M] [Module R M] (I : Ideal R)
open Polynomial
open scoped Polynomial
/-- An `I`-filtration on the module `M` is a sequence of decreasing submodules `N i` such that
`I • (N i) ≤ N (i + 1)`. Note that we do not require the filtration to start from `⊤`. -/
@[ext]
structure Ideal.Filtration (M : Type u) [AddCommGroup M] [Module R M] where
N : ℕ → Submodule R M
mono : ∀ i, N (i + 1) ≤ N i
smul_le : ∀ i, I • N i ≤ N (i + 1)
#align ideal.filtration Ideal.Filtration
variable (F F' : I.Filtration M) {I}
namespace Ideal.Filtration
theorem pow_smul_le (i j : ℕ) : I ^ i • F.N j ≤ F.N (i + j) := by
induction' i with _ ih
· simp
· rw [pow_succ', mul_smul, add_assoc, add_comm 1, ← add_assoc]
exact (smul_mono_right _ ih).trans (F.smul_le _)
#align ideal.filtration.pow_smul_le Ideal.Filtration.pow_smul_le
theorem pow_smul_le_pow_smul (i j k : ℕ) : I ^ (i + k) • F.N j ≤ I ^ k • F.N (i + j) := by
rw [add_comm, pow_add, mul_smul]
exact smul_mono_right _ (F.pow_smul_le i j)
#align ideal.filtration.pow_smul_le_pow_smul Ideal.Filtration.pow_smul_le_pow_smul
protected theorem antitone : Antitone F.N :=
antitone_nat_of_succ_le F.mono
#align ideal.filtration.antitone Ideal.Filtration.antitone
/-- The trivial `I`-filtration of `N`. -/
@[simps]
def _root_.Ideal.trivialFiltration (I : Ideal R) (N : Submodule R M) : I.Filtration M where
N _ := N
mono _ := le_rfl
smul_le _ := Submodule.smul_le_right
#align ideal.trivial_filtration Ideal.trivialFiltration
/-- The `sup` of two `I.Filtration`s is an `I.Filtration`. -/
instance : Sup (I.Filtration M) :=
⟨fun F F' =>
⟨F.N ⊔ F'.N, fun i => sup_le_sup (F.mono i) (F'.mono i), fun i =>
(Submodule.smul_sup _ _ _).trans_le <| sup_le_sup (F.smul_le i) (F'.smul_le i)⟩⟩
/-- The `sSup` of a family of `I.Filtration`s is an `I.Filtration`. -/
instance : SupSet (I.Filtration M) :=
⟨fun S =>
{ N := sSup (Ideal.Filtration.N '' S)
mono := fun i => by
apply sSup_le_sSup_of_forall_exists_le _
rintro _ ⟨⟨_, F, hF, rfl⟩, rfl⟩
exact ⟨_, ⟨⟨_, F, hF, rfl⟩, rfl⟩, F.mono i⟩
smul_le := fun i => by
rw [sSup_eq_iSup', iSup_apply, Submodule.smul_iSup, iSup_apply]
apply iSup_mono _
rintro ⟨_, F, hF, rfl⟩
exact F.smul_le i }⟩
/-- The `inf` of two `I.Filtration`s is an `I.Filtration`. -/
instance : Inf (I.Filtration M) :=
⟨fun F F' =>
⟨F.N ⊓ F'.N, fun i => inf_le_inf (F.mono i) (F'.mono i), fun i =>
(smul_inf_le _ _ _).trans <| inf_le_inf (F.smul_le i) (F'.smul_le i)⟩⟩
/-- The `sInf` of a family of `I.Filtration`s is an `I.Filtration`. -/
instance : InfSet (I.Filtration M) :=
⟨fun S =>
{ N := sInf (Ideal.Filtration.N '' S)
mono := fun i => by
apply sInf_le_sInf_of_forall_exists_le _
rintro _ ⟨⟨_, F, hF, rfl⟩, rfl⟩
exact ⟨_, ⟨⟨_, F, hF, rfl⟩, rfl⟩, F.mono i⟩
smul_le := fun i => by
rw [sInf_eq_iInf', iInf_apply, iInf_apply]
refine smul_iInf_le.trans ?_
apply iInf_mono _
rintro ⟨_, F, hF, rfl⟩
exact F.smul_le i }⟩
instance : Top (I.Filtration M) :=
⟨I.trivialFiltration ⊤⟩
instance : Bot (I.Filtration M) :=
⟨I.trivialFiltration ⊥⟩
@[simp]
theorem sup_N : (F ⊔ F').N = F.N ⊔ F'.N :=
rfl
set_option linter.uppercaseLean3 false in
#align ideal.filtration.sup_N Ideal.Filtration.sup_N
@[simp]
theorem sSup_N (S : Set (I.Filtration M)) : (sSup S).N = sSup (Ideal.Filtration.N '' S) :=
rfl
set_option linter.uppercaseLean3 false in
#align ideal.filtration.Sup_N Ideal.Filtration.sSup_N
@[simp]
theorem inf_N : (F ⊓ F').N = F.N ⊓ F'.N :=
rfl
set_option linter.uppercaseLean3 false in
#align ideal.filtration.inf_N Ideal.Filtration.inf_N
@[simp]
theorem sInf_N (S : Set (I.Filtration M)) : (sInf S).N = sInf (Ideal.Filtration.N '' S) :=
rfl
set_option linter.uppercaseLean3 false in
#align ideal.filtration.Inf_N Ideal.Filtration.sInf_N
@[simp]
theorem top_N : (⊤ : I.Filtration M).N = ⊤ :=
rfl
set_option linter.uppercaseLean3 false in
#align ideal.filtration.top_N Ideal.Filtration.top_N
@[simp]
theorem bot_N : (⊥ : I.Filtration M).N = ⊥ :=
rfl
set_option linter.uppercaseLean3 false in
#align ideal.filtration.bot_N Ideal.Filtration.bot_N
@[simp]
theorem iSup_N {ι : Sort*} (f : ι → I.Filtration M) : (iSup f).N = ⨆ i, (f i).N :=
congr_arg sSup (Set.range_comp _ _).symm
set_option linter.uppercaseLean3 false in
#align ideal.filtration.supr_N Ideal.Filtration.iSup_N
@[simp]
theorem iInf_N {ι : Sort*} (f : ι → I.Filtration M) : (iInf f).N = ⨅ i, (f i).N :=
congr_arg sInf (Set.range_comp _ _).symm
set_option linter.uppercaseLean3 false in
#align ideal.filtration.infi_N Ideal.Filtration.iInf_N
instance : CompleteLattice (I.Filtration M) :=
Function.Injective.completeLattice Ideal.Filtration.N Ideal.Filtration.ext sup_N inf_N
(fun _ => sSup_image) (fun _ => sInf_image) top_N bot_N
instance : Inhabited (I.Filtration M) :=
⟨⊥⟩
/-- An `I` filtration is stable if `I • F.N n = F.N (n+1)` for large enough `n`. -/
def Stable : Prop :=
∃ n₀, ∀ n ≥ n₀, I • F.N n = F.N (n + 1)
#align ideal.filtration.stable Ideal.Filtration.Stable
/-- The trivial stable `I`-filtration of `N`. -/
@[simps]
def _root_.Ideal.stableFiltration (I : Ideal R) (N : Submodule R M) : I.Filtration M where
N i := I ^ i • N
mono i := by dsimp only; rw [add_comm, pow_add, mul_smul]; exact Submodule.smul_le_right
smul_le i := by dsimp only; rw [add_comm, pow_add, mul_smul, pow_one]
#align ideal.stable_filtration Ideal.stableFiltration
theorem _root_.Ideal.stableFiltration_stable (I : Ideal R) (N : Submodule R M) :
(I.stableFiltration N).Stable := by
use 0
intro n _
dsimp
rw [add_comm, pow_add, mul_smul, pow_one]
#align ideal.stable_filtration_stable Ideal.stableFiltration_stable
variable {F F'} (h : F.Stable)
| Mathlib/RingTheory/Filtration.lean | 216 | 223 | theorem Stable.exists_pow_smul_eq : ∃ n₀, ∀ k, F.N (n₀ + k) = I ^ k • F.N n₀ := by |
obtain ⟨n₀, hn⟩ := h
use n₀
intro k
induction' k with _ ih
· simp
· rw [← add_assoc, ← hn, ih, add_comm, pow_add, mul_smul, pow_one]
omega
|
/-
Copyright (c) 2019 Scott Morrison. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Scott Morrison, Yaël Dillies
-/
import Mathlib.Order.Cover
import Mathlib.Order.Interval.Finset.Defs
#align_import data.finset.locally_finite from "leanprover-community/mathlib"@"442a83d738cb208d3600056c489be16900ba701d"
/-!
# Intervals as finsets
This file provides basic results about all the `Finset.Ixx`, which are defined in
`Order.Interval.Finset.Defs`.
In addition, it shows that in a locally finite order `≤` and `<` are the transitive closures of,
respectively, `⩿` and `⋖`, which then leads to a characterization of monotone and strictly
functions whose domain is a locally finite order. In particular, this file proves:
* `le_iff_transGen_wcovBy`: `≤` is the transitive closure of `⩿`
* `lt_iff_transGen_covBy`: `≤` is the transitive closure of `⩿`
* `monotone_iff_forall_wcovBy`: Characterization of monotone functions
* `strictMono_iff_forall_covBy`: Characterization of strictly monotone functions
## TODO
This file was originally only about `Finset.Ico a b` where `a b : ℕ`. No care has yet been taken to
generalize these lemmas properly and many lemmas about `Icc`, `Ioc`, `Ioo` are missing. In general,
what's to do is taking the lemmas in `Data.X.Intervals` and abstract away the concrete structure.
Complete the API. See
https://github.com/leanprover-community/mathlib/pull/14448#discussion_r906109235
for some ideas.
-/
assert_not_exists MonoidWithZero
assert_not_exists Finset.sum
open Function OrderDual
open FinsetInterval
variable {ι α : Type*}
namespace Finset
section Preorder
variable [Preorder α]
section LocallyFiniteOrder
variable [LocallyFiniteOrder α] {a a₁ a₂ b b₁ b₂ c x : α}
@[simp, aesop safe apply (rule_sets := [finsetNonempty])]
theorem nonempty_Icc : (Icc a b).Nonempty ↔ a ≤ b := by
rw [← coe_nonempty, coe_Icc, Set.nonempty_Icc]
#align finset.nonempty_Icc Finset.nonempty_Icc
@[simp, aesop safe apply (rule_sets := [finsetNonempty])]
theorem nonempty_Ico : (Ico a b).Nonempty ↔ a < b := by
rw [← coe_nonempty, coe_Ico, Set.nonempty_Ico]
#align finset.nonempty_Ico Finset.nonempty_Ico
@[simp, aesop safe apply (rule_sets := [finsetNonempty])]
theorem nonempty_Ioc : (Ioc a b).Nonempty ↔ a < b := by
rw [← coe_nonempty, coe_Ioc, Set.nonempty_Ioc]
#align finset.nonempty_Ioc Finset.nonempty_Ioc
-- TODO: This is nonsense. A locally finite order is never densely ordered
@[simp]
theorem nonempty_Ioo [DenselyOrdered α] : (Ioo a b).Nonempty ↔ a < b := by
rw [← coe_nonempty, coe_Ioo, Set.nonempty_Ioo]
#align finset.nonempty_Ioo Finset.nonempty_Ioo
@[simp]
theorem Icc_eq_empty_iff : Icc a b = ∅ ↔ ¬a ≤ b := by
rw [← coe_eq_empty, coe_Icc, Set.Icc_eq_empty_iff]
#align finset.Icc_eq_empty_iff Finset.Icc_eq_empty_iff
@[simp]
theorem Ico_eq_empty_iff : Ico a b = ∅ ↔ ¬a < b := by
rw [← coe_eq_empty, coe_Ico, Set.Ico_eq_empty_iff]
#align finset.Ico_eq_empty_iff Finset.Ico_eq_empty_iff
@[simp]
theorem Ioc_eq_empty_iff : Ioc a b = ∅ ↔ ¬a < b := by
rw [← coe_eq_empty, coe_Ioc, Set.Ioc_eq_empty_iff]
#align finset.Ioc_eq_empty_iff Finset.Ioc_eq_empty_iff
-- TODO: This is nonsense. A locally finite order is never densely ordered
@[simp]
theorem Ioo_eq_empty_iff [DenselyOrdered α] : Ioo a b = ∅ ↔ ¬a < b := by
rw [← coe_eq_empty, coe_Ioo, Set.Ioo_eq_empty_iff]
#align finset.Ioo_eq_empty_iff Finset.Ioo_eq_empty_iff
alias ⟨_, Icc_eq_empty⟩ := Icc_eq_empty_iff
#align finset.Icc_eq_empty Finset.Icc_eq_empty
alias ⟨_, Ico_eq_empty⟩ := Ico_eq_empty_iff
#align finset.Ico_eq_empty Finset.Ico_eq_empty
alias ⟨_, Ioc_eq_empty⟩ := Ioc_eq_empty_iff
#align finset.Ioc_eq_empty Finset.Ioc_eq_empty
@[simp]
theorem Ioo_eq_empty (h : ¬a < b) : Ioo a b = ∅ :=
eq_empty_iff_forall_not_mem.2 fun _ hx => h ((mem_Ioo.1 hx).1.trans (mem_Ioo.1 hx).2)
#align finset.Ioo_eq_empty Finset.Ioo_eq_empty
@[simp]
theorem Icc_eq_empty_of_lt (h : b < a) : Icc a b = ∅ :=
Icc_eq_empty h.not_le
#align finset.Icc_eq_empty_of_lt Finset.Icc_eq_empty_of_lt
@[simp]
theorem Ico_eq_empty_of_le (h : b ≤ a) : Ico a b = ∅ :=
Ico_eq_empty h.not_lt
#align finset.Ico_eq_empty_of_le Finset.Ico_eq_empty_of_le
@[simp]
theorem Ioc_eq_empty_of_le (h : b ≤ a) : Ioc a b = ∅ :=
Ioc_eq_empty h.not_lt
#align finset.Ioc_eq_empty_of_le Finset.Ioc_eq_empty_of_le
@[simp]
theorem Ioo_eq_empty_of_le (h : b ≤ a) : Ioo a b = ∅ :=
Ioo_eq_empty h.not_lt
#align finset.Ioo_eq_empty_of_le Finset.Ioo_eq_empty_of_le
-- porting note (#10618): simp can prove this
-- @[simp]
theorem left_mem_Icc : a ∈ Icc a b ↔ a ≤ b := by simp only [mem_Icc, true_and_iff, le_rfl]
#align finset.left_mem_Icc Finset.left_mem_Icc
-- porting note (#10618): simp can prove this
-- @[simp]
theorem left_mem_Ico : a ∈ Ico a b ↔ a < b := by simp only [mem_Ico, true_and_iff, le_refl]
#align finset.left_mem_Ico Finset.left_mem_Ico
-- porting note (#10618): simp can prove this
-- @[simp]
theorem right_mem_Icc : b ∈ Icc a b ↔ a ≤ b := by simp only [mem_Icc, and_true_iff, le_rfl]
#align finset.right_mem_Icc Finset.right_mem_Icc
-- porting note (#10618): simp can prove this
-- @[simp]
theorem right_mem_Ioc : b ∈ Ioc a b ↔ a < b := by simp only [mem_Ioc, and_true_iff, le_rfl]
#align finset.right_mem_Ioc Finset.right_mem_Ioc
-- porting note (#10618): simp can prove this
-- @[simp]
theorem left_not_mem_Ioc : a ∉ Ioc a b := fun h => lt_irrefl _ (mem_Ioc.1 h).1
#align finset.left_not_mem_Ioc Finset.left_not_mem_Ioc
-- porting note (#10618): simp can prove this
-- @[simp]
theorem left_not_mem_Ioo : a ∉ Ioo a b := fun h => lt_irrefl _ (mem_Ioo.1 h).1
#align finset.left_not_mem_Ioo Finset.left_not_mem_Ioo
-- porting note (#10618): simp can prove this
-- @[simp]
theorem right_not_mem_Ico : b ∉ Ico a b := fun h => lt_irrefl _ (mem_Ico.1 h).2
#align finset.right_not_mem_Ico Finset.right_not_mem_Ico
-- porting note (#10618): simp can prove this
-- @[simp]
theorem right_not_mem_Ioo : b ∉ Ioo a b := fun h => lt_irrefl _ (mem_Ioo.1 h).2
#align finset.right_not_mem_Ioo Finset.right_not_mem_Ioo
theorem Icc_subset_Icc (ha : a₂ ≤ a₁) (hb : b₁ ≤ b₂) : Icc a₁ b₁ ⊆ Icc a₂ b₂ := by
simpa [← coe_subset] using Set.Icc_subset_Icc ha hb
#align finset.Icc_subset_Icc Finset.Icc_subset_Icc
theorem Ico_subset_Ico (ha : a₂ ≤ a₁) (hb : b₁ ≤ b₂) : Ico a₁ b₁ ⊆ Ico a₂ b₂ := by
simpa [← coe_subset] using Set.Ico_subset_Ico ha hb
#align finset.Ico_subset_Ico Finset.Ico_subset_Ico
theorem Ioc_subset_Ioc (ha : a₂ ≤ a₁) (hb : b₁ ≤ b₂) : Ioc a₁ b₁ ⊆ Ioc a₂ b₂ := by
simpa [← coe_subset] using Set.Ioc_subset_Ioc ha hb
#align finset.Ioc_subset_Ioc Finset.Ioc_subset_Ioc
theorem Ioo_subset_Ioo (ha : a₂ ≤ a₁) (hb : b₁ ≤ b₂) : Ioo a₁ b₁ ⊆ Ioo a₂ b₂ := by
simpa [← coe_subset] using Set.Ioo_subset_Ioo ha hb
#align finset.Ioo_subset_Ioo Finset.Ioo_subset_Ioo
theorem Icc_subset_Icc_left (h : a₁ ≤ a₂) : Icc a₂ b ⊆ Icc a₁ b :=
Icc_subset_Icc h le_rfl
#align finset.Icc_subset_Icc_left Finset.Icc_subset_Icc_left
theorem Ico_subset_Ico_left (h : a₁ ≤ a₂) : Ico a₂ b ⊆ Ico a₁ b :=
Ico_subset_Ico h le_rfl
#align finset.Ico_subset_Ico_left Finset.Ico_subset_Ico_left
theorem Ioc_subset_Ioc_left (h : a₁ ≤ a₂) : Ioc a₂ b ⊆ Ioc a₁ b :=
Ioc_subset_Ioc h le_rfl
#align finset.Ioc_subset_Ioc_left Finset.Ioc_subset_Ioc_left
theorem Ioo_subset_Ioo_left (h : a₁ ≤ a₂) : Ioo a₂ b ⊆ Ioo a₁ b :=
Ioo_subset_Ioo h le_rfl
#align finset.Ioo_subset_Ioo_left Finset.Ioo_subset_Ioo_left
theorem Icc_subset_Icc_right (h : b₁ ≤ b₂) : Icc a b₁ ⊆ Icc a b₂ :=
Icc_subset_Icc le_rfl h
#align finset.Icc_subset_Icc_right Finset.Icc_subset_Icc_right
theorem Ico_subset_Ico_right (h : b₁ ≤ b₂) : Ico a b₁ ⊆ Ico a b₂ :=
Ico_subset_Ico le_rfl h
#align finset.Ico_subset_Ico_right Finset.Ico_subset_Ico_right
theorem Ioc_subset_Ioc_right (h : b₁ ≤ b₂) : Ioc a b₁ ⊆ Ioc a b₂ :=
Ioc_subset_Ioc le_rfl h
#align finset.Ioc_subset_Ioc_right Finset.Ioc_subset_Ioc_right
theorem Ioo_subset_Ioo_right (h : b₁ ≤ b₂) : Ioo a b₁ ⊆ Ioo a b₂ :=
Ioo_subset_Ioo le_rfl h
#align finset.Ioo_subset_Ioo_right Finset.Ioo_subset_Ioo_right
theorem Ico_subset_Ioo_left (h : a₁ < a₂) : Ico a₂ b ⊆ Ioo a₁ b := by
rw [← coe_subset, coe_Ico, coe_Ioo]
exact Set.Ico_subset_Ioo_left h
#align finset.Ico_subset_Ioo_left Finset.Ico_subset_Ioo_left
theorem Ioc_subset_Ioo_right (h : b₁ < b₂) : Ioc a b₁ ⊆ Ioo a b₂ := by
rw [← coe_subset, coe_Ioc, coe_Ioo]
exact Set.Ioc_subset_Ioo_right h
#align finset.Ioc_subset_Ioo_right Finset.Ioc_subset_Ioo_right
theorem Icc_subset_Ico_right (h : b₁ < b₂) : Icc a b₁ ⊆ Ico a b₂ := by
rw [← coe_subset, coe_Icc, coe_Ico]
exact Set.Icc_subset_Ico_right h
#align finset.Icc_subset_Ico_right Finset.Icc_subset_Ico_right
theorem Ioo_subset_Ico_self : Ioo a b ⊆ Ico a b := by
rw [← coe_subset, coe_Ioo, coe_Ico]
exact Set.Ioo_subset_Ico_self
#align finset.Ioo_subset_Ico_self Finset.Ioo_subset_Ico_self
theorem Ioo_subset_Ioc_self : Ioo a b ⊆ Ioc a b := by
rw [← coe_subset, coe_Ioo, coe_Ioc]
exact Set.Ioo_subset_Ioc_self
#align finset.Ioo_subset_Ioc_self Finset.Ioo_subset_Ioc_self
theorem Ico_subset_Icc_self : Ico a b ⊆ Icc a b := by
rw [← coe_subset, coe_Ico, coe_Icc]
exact Set.Ico_subset_Icc_self
#align finset.Ico_subset_Icc_self Finset.Ico_subset_Icc_self
theorem Ioc_subset_Icc_self : Ioc a b ⊆ Icc a b := by
rw [← coe_subset, coe_Ioc, coe_Icc]
exact Set.Ioc_subset_Icc_self
#align finset.Ioc_subset_Icc_self Finset.Ioc_subset_Icc_self
theorem Ioo_subset_Icc_self : Ioo a b ⊆ Icc a b :=
Ioo_subset_Ico_self.trans Ico_subset_Icc_self
#align finset.Ioo_subset_Icc_self Finset.Ioo_subset_Icc_self
theorem Icc_subset_Icc_iff (h₁ : a₁ ≤ b₁) : Icc a₁ b₁ ⊆ Icc a₂ b₂ ↔ a₂ ≤ a₁ ∧ b₁ ≤ b₂ := by
rw [← coe_subset, coe_Icc, coe_Icc, Set.Icc_subset_Icc_iff h₁]
#align finset.Icc_subset_Icc_iff Finset.Icc_subset_Icc_iff
theorem Icc_subset_Ioo_iff (h₁ : a₁ ≤ b₁) : Icc a₁ b₁ ⊆ Ioo a₂ b₂ ↔ a₂ < a₁ ∧ b₁ < b₂ := by
rw [← coe_subset, coe_Icc, coe_Ioo, Set.Icc_subset_Ioo_iff h₁]
#align finset.Icc_subset_Ioo_iff Finset.Icc_subset_Ioo_iff
theorem Icc_subset_Ico_iff (h₁ : a₁ ≤ b₁) : Icc a₁ b₁ ⊆ Ico a₂ b₂ ↔ a₂ ≤ a₁ ∧ b₁ < b₂ := by
rw [← coe_subset, coe_Icc, coe_Ico, Set.Icc_subset_Ico_iff h₁]
#align finset.Icc_subset_Ico_iff Finset.Icc_subset_Ico_iff
theorem Icc_subset_Ioc_iff (h₁ : a₁ ≤ b₁) : Icc a₁ b₁ ⊆ Ioc a₂ b₂ ↔ a₂ < a₁ ∧ b₁ ≤ b₂ :=
(Icc_subset_Ico_iff h₁.dual).trans and_comm
#align finset.Icc_subset_Ioc_iff Finset.Icc_subset_Ioc_iff
--TODO: `Ico_subset_Ioo_iff`, `Ioc_subset_Ioo_iff`
theorem Icc_ssubset_Icc_left (hI : a₂ ≤ b₂) (ha : a₂ < a₁) (hb : b₁ ≤ b₂) :
Icc a₁ b₁ ⊂ Icc a₂ b₂ := by
rw [← coe_ssubset, coe_Icc, coe_Icc]
exact Set.Icc_ssubset_Icc_left hI ha hb
#align finset.Icc_ssubset_Icc_left Finset.Icc_ssubset_Icc_left
theorem Icc_ssubset_Icc_right (hI : a₂ ≤ b₂) (ha : a₂ ≤ a₁) (hb : b₁ < b₂) :
Icc a₁ b₁ ⊂ Icc a₂ b₂ := by
rw [← coe_ssubset, coe_Icc, coe_Icc]
exact Set.Icc_ssubset_Icc_right hI ha hb
#align finset.Icc_ssubset_Icc_right Finset.Icc_ssubset_Icc_right
variable (a)
-- porting note (#10618): simp can prove this
-- @[simp]
theorem Ico_self : Ico a a = ∅ :=
Ico_eq_empty <| lt_irrefl _
#align finset.Ico_self Finset.Ico_self
-- porting note (#10618): simp can prove this
-- @[simp]
theorem Ioc_self : Ioc a a = ∅ :=
Ioc_eq_empty <| lt_irrefl _
#align finset.Ioc_self Finset.Ioc_self
-- porting note (#10618): simp can prove this
-- @[simp]
theorem Ioo_self : Ioo a a = ∅ :=
Ioo_eq_empty <| lt_irrefl _
#align finset.Ioo_self Finset.Ioo_self
variable {a}
/-- A set with upper and lower bounds in a locally finite order is a fintype -/
def _root_.Set.fintypeOfMemBounds {s : Set α} [DecidablePred (· ∈ s)] (ha : a ∈ lowerBounds s)
(hb : b ∈ upperBounds s) : Fintype s :=
Set.fintypeSubset (Set.Icc a b) fun _ hx => ⟨ha hx, hb hx⟩
#align set.fintype_of_mem_bounds Set.fintypeOfMemBounds
section Filter
theorem Ico_filter_lt_of_le_left [DecidablePred (· < c)] (hca : c ≤ a) :
(Ico a b).filter (· < c) = ∅ :=
filter_false_of_mem fun _ hx => (hca.trans (mem_Ico.1 hx).1).not_lt
#align finset.Ico_filter_lt_of_le_left Finset.Ico_filter_lt_of_le_left
theorem Ico_filter_lt_of_right_le [DecidablePred (· < c)] (hbc : b ≤ c) :
(Ico a b).filter (· < c) = Ico a b :=
filter_true_of_mem fun _ hx => (mem_Ico.1 hx).2.trans_le hbc
#align finset.Ico_filter_lt_of_right_le Finset.Ico_filter_lt_of_right_le
theorem Ico_filter_lt_of_le_right [DecidablePred (· < c)] (hcb : c ≤ b) :
(Ico a b).filter (· < c) = Ico a c := by
ext x
rw [mem_filter, mem_Ico, mem_Ico, and_right_comm]
exact and_iff_left_of_imp fun h => h.2.trans_le hcb
#align finset.Ico_filter_lt_of_le_right Finset.Ico_filter_lt_of_le_right
theorem Ico_filter_le_of_le_left {a b c : α} [DecidablePred (c ≤ ·)] (hca : c ≤ a) :
(Ico a b).filter (c ≤ ·) = Ico a b :=
filter_true_of_mem fun _ hx => hca.trans (mem_Ico.1 hx).1
#align finset.Ico_filter_le_of_le_left Finset.Ico_filter_le_of_le_left
theorem Ico_filter_le_of_right_le {a b : α} [DecidablePred (b ≤ ·)] :
(Ico a b).filter (b ≤ ·) = ∅ :=
filter_false_of_mem fun _ hx => (mem_Ico.1 hx).2.not_le
#align finset.Ico_filter_le_of_right_le Finset.Ico_filter_le_of_right_le
theorem Ico_filter_le_of_left_le {a b c : α} [DecidablePred (c ≤ ·)] (hac : a ≤ c) :
(Ico a b).filter (c ≤ ·) = Ico c b := by
ext x
rw [mem_filter, mem_Ico, mem_Ico, and_comm, and_left_comm]
exact and_iff_right_of_imp fun h => hac.trans h.1
#align finset.Ico_filter_le_of_left_le Finset.Ico_filter_le_of_left_le
theorem Icc_filter_lt_of_lt_right {a b c : α} [DecidablePred (· < c)] (h : b < c) :
(Icc a b).filter (· < c) = Icc a b :=
filter_true_of_mem fun _ hx => lt_of_le_of_lt (mem_Icc.1 hx).2 h
#align finset.Icc_filter_lt_of_lt_right Finset.Icc_filter_lt_of_lt_right
theorem Ioc_filter_lt_of_lt_right {a b c : α} [DecidablePred (· < c)] (h : b < c) :
(Ioc a b).filter (· < c) = Ioc a b :=
filter_true_of_mem fun _ hx => lt_of_le_of_lt (mem_Ioc.1 hx).2 h
#align finset.Ioc_filter_lt_of_lt_right Finset.Ioc_filter_lt_of_lt_right
theorem Iic_filter_lt_of_lt_right {α} [Preorder α] [LocallyFiniteOrderBot α] {a c : α}
[DecidablePred (· < c)] (h : a < c) : (Iic a).filter (· < c) = Iic a :=
filter_true_of_mem fun _ hx => lt_of_le_of_lt (mem_Iic.1 hx) h
#align finset.Iic_filter_lt_of_lt_right Finset.Iic_filter_lt_of_lt_right
variable (a b) [Fintype α]
theorem filter_lt_lt_eq_Ioo [DecidablePred fun j => a < j ∧ j < b] :
(univ.filter fun j => a < j ∧ j < b) = Ioo a b := by
ext
simp
#align finset.filter_lt_lt_eq_Ioo Finset.filter_lt_lt_eq_Ioo
theorem filter_lt_le_eq_Ioc [DecidablePred fun j => a < j ∧ j ≤ b] :
(univ.filter fun j => a < j ∧ j ≤ b) = Ioc a b := by
ext
simp
#align finset.filter_lt_le_eq_Ioc Finset.filter_lt_le_eq_Ioc
theorem filter_le_lt_eq_Ico [DecidablePred fun j => a ≤ j ∧ j < b] :
(univ.filter fun j => a ≤ j ∧ j < b) = Ico a b := by
ext
simp
#align finset.filter_le_lt_eq_Ico Finset.filter_le_lt_eq_Ico
theorem filter_le_le_eq_Icc [DecidablePred fun j => a ≤ j ∧ j ≤ b] :
(univ.filter fun j => a ≤ j ∧ j ≤ b) = Icc a b := by
ext
simp
#align finset.filter_le_le_eq_Icc Finset.filter_le_le_eq_Icc
end Filter
section LocallyFiniteOrderTop
variable [LocallyFiniteOrderTop α]
@[simp, aesop safe apply (rule_sets := [finsetNonempty])]
lemma nonempty_Ici : (Ici a).Nonempty := ⟨a, mem_Ici.2 le_rfl⟩
@[simp, aesop safe apply (rule_sets := [finsetNonempty])]
lemma nonempty_Ioi : (Ioi a).Nonempty ↔ ¬ IsMax a := by simp [Finset.Nonempty]
theorem Icc_subset_Ici_self : Icc a b ⊆ Ici a := by
simpa [← coe_subset] using Set.Icc_subset_Ici_self
#align finset.Icc_subset_Ici_self Finset.Icc_subset_Ici_self
theorem Ico_subset_Ici_self : Ico a b ⊆ Ici a := by
simpa [← coe_subset] using Set.Ico_subset_Ici_self
#align finset.Ico_subset_Ici_self Finset.Ico_subset_Ici_self
theorem Ioc_subset_Ioi_self : Ioc a b ⊆ Ioi a := by
simpa [← coe_subset] using Set.Ioc_subset_Ioi_self
#align finset.Ioc_subset_Ioi_self Finset.Ioc_subset_Ioi_self
theorem Ioo_subset_Ioi_self : Ioo a b ⊆ Ioi a := by
simpa [← coe_subset] using Set.Ioo_subset_Ioi_self
#align finset.Ioo_subset_Ioi_self Finset.Ioo_subset_Ioi_self
theorem Ioc_subset_Ici_self : Ioc a b ⊆ Ici a :=
Ioc_subset_Icc_self.trans Icc_subset_Ici_self
#align finset.Ioc_subset_Ici_self Finset.Ioc_subset_Ici_self
theorem Ioo_subset_Ici_self : Ioo a b ⊆ Ici a :=
Ioo_subset_Ico_self.trans Ico_subset_Ici_self
#align finset.Ioo_subset_Ici_self Finset.Ioo_subset_Ici_self
end LocallyFiniteOrderTop
section LocallyFiniteOrderBot
variable [LocallyFiniteOrderBot α]
@[simp] lemma nonempty_Iic : (Iic a).Nonempty := ⟨a, mem_Iic.2 le_rfl⟩
@[simp] lemma nonempty_Iio : (Iio a).Nonempty ↔ ¬ IsMin a := by simp [Finset.Nonempty]
theorem Icc_subset_Iic_self : Icc a b ⊆ Iic b := by
simpa [← coe_subset] using Set.Icc_subset_Iic_self
#align finset.Icc_subset_Iic_self Finset.Icc_subset_Iic_self
theorem Ioc_subset_Iic_self : Ioc a b ⊆ Iic b := by
simpa [← coe_subset] using Set.Ioc_subset_Iic_self
#align finset.Ioc_subset_Iic_self Finset.Ioc_subset_Iic_self
theorem Ico_subset_Iio_self : Ico a b ⊆ Iio b := by
simpa [← coe_subset] using Set.Ico_subset_Iio_self
#align finset.Ico_subset_Iio_self Finset.Ico_subset_Iio_self
theorem Ioo_subset_Iio_self : Ioo a b ⊆ Iio b := by
simpa [← coe_subset] using Set.Ioo_subset_Iio_self
#align finset.Ioo_subset_Iio_self Finset.Ioo_subset_Iio_self
theorem Ico_subset_Iic_self : Ico a b ⊆ Iic b :=
Ico_subset_Icc_self.trans Icc_subset_Iic_self
#align finset.Ico_subset_Iic_self Finset.Ico_subset_Iic_self
theorem Ioo_subset_Iic_self : Ioo a b ⊆ Iic b :=
Ioo_subset_Ioc_self.trans Ioc_subset_Iic_self
#align finset.Ioo_subset_Iic_self Finset.Ioo_subset_Iic_self
end LocallyFiniteOrderBot
end LocallyFiniteOrder
section LocallyFiniteOrderTop
variable [LocallyFiniteOrderTop α] {a : α}
theorem Ioi_subset_Ici_self : Ioi a ⊆ Ici a := by
simpa [← coe_subset] using Set.Ioi_subset_Ici_self
#align finset.Ioi_subset_Ici_self Finset.Ioi_subset_Ici_self
theorem _root_.BddBelow.finite {s : Set α} (hs : BddBelow s) : s.Finite :=
let ⟨a, ha⟩ := hs
(Ici a).finite_toSet.subset fun _ hx => mem_Ici.2 <| ha hx
#align bdd_below.finite BddBelow.finite
theorem _root_.Set.Infinite.not_bddBelow {s : Set α} : s.Infinite → ¬BddBelow s :=
mt BddBelow.finite
#align set.infinite.not_bdd_below Set.Infinite.not_bddBelow
variable [Fintype α]
theorem filter_lt_eq_Ioi [DecidablePred (a < ·)] : univ.filter (a < ·) = Ioi a := by
ext
simp
#align finset.filter_lt_eq_Ioi Finset.filter_lt_eq_Ioi
theorem filter_le_eq_Ici [DecidablePred (a ≤ ·)] : univ.filter (a ≤ ·) = Ici a := by
ext
simp
#align finset.filter_le_eq_Ici Finset.filter_le_eq_Ici
end LocallyFiniteOrderTop
section LocallyFiniteOrderBot
variable [LocallyFiniteOrderBot α] {a : α}
theorem Iio_subset_Iic_self : Iio a ⊆ Iic a := by
simpa [← coe_subset] using Set.Iio_subset_Iic_self
#align finset.Iio_subset_Iic_self Finset.Iio_subset_Iic_self
theorem _root_.BddAbove.finite {s : Set α} (hs : BddAbove s) : s.Finite :=
hs.dual.finite
#align bdd_above.finite BddAbove.finite
theorem _root_.Set.Infinite.not_bddAbove {s : Set α} : s.Infinite → ¬BddAbove s :=
mt BddAbove.finite
#align set.infinite.not_bdd_above Set.Infinite.not_bddAbove
variable [Fintype α]
theorem filter_gt_eq_Iio [DecidablePred (· < a)] : univ.filter (· < a) = Iio a := by
ext
simp
#align finset.filter_gt_eq_Iio Finset.filter_gt_eq_Iio
theorem filter_ge_eq_Iic [DecidablePred (· ≤ a)] : univ.filter (· ≤ a) = Iic a := by
ext
simp
#align finset.filter_ge_eq_Iic Finset.filter_ge_eq_Iic
end LocallyFiniteOrderBot
variable [LocallyFiniteOrderTop α] [LocallyFiniteOrderBot α]
theorem disjoint_Ioi_Iio (a : α) : Disjoint (Ioi a) (Iio a) :=
disjoint_left.2 fun _ hab hba => (mem_Ioi.1 hab).not_lt <| mem_Iio.1 hba
#align finset.disjoint_Ioi_Iio Finset.disjoint_Ioi_Iio
end Preorder
section PartialOrder
variable [PartialOrder α] [LocallyFiniteOrder α] {a b c : α}
@[simp]
theorem Icc_self (a : α) : Icc a a = {a} := by rw [← coe_eq_singleton, coe_Icc, Set.Icc_self]
#align finset.Icc_self Finset.Icc_self
@[simp]
theorem Icc_eq_singleton_iff : Icc a b = {c} ↔ a = c ∧ b = c := by
rw [← coe_eq_singleton, coe_Icc, Set.Icc_eq_singleton_iff]
#align finset.Icc_eq_singleton_iff Finset.Icc_eq_singleton_iff
theorem Ico_disjoint_Ico_consecutive (a b c : α) : Disjoint (Ico a b) (Ico b c) :=
disjoint_left.2 fun _ hab hbc => (mem_Ico.mp hab).2.not_le (mem_Ico.mp hbc).1
#align finset.Ico_disjoint_Ico_consecutive Finset.Ico_disjoint_Ico_consecutive
section DecidableEq
variable [DecidableEq α]
@[simp]
theorem Icc_erase_left (a b : α) : (Icc a b).erase a = Ioc a b := by simp [← coe_inj]
#align finset.Icc_erase_left Finset.Icc_erase_left
@[simp]
theorem Icc_erase_right (a b : α) : (Icc a b).erase b = Ico a b := by simp [← coe_inj]
#align finset.Icc_erase_right Finset.Icc_erase_right
@[simp]
theorem Ico_erase_left (a b : α) : (Ico a b).erase a = Ioo a b := by simp [← coe_inj]
#align finset.Ico_erase_left Finset.Ico_erase_left
@[simp]
theorem Ioc_erase_right (a b : α) : (Ioc a b).erase b = Ioo a b := by simp [← coe_inj]
#align finset.Ioc_erase_right Finset.Ioc_erase_right
@[simp]
theorem Icc_diff_both (a b : α) : Icc a b \ {a, b} = Ioo a b := by simp [← coe_inj]
#align finset.Icc_diff_both Finset.Icc_diff_both
@[simp]
theorem Ico_insert_right (h : a ≤ b) : insert b (Ico a b) = Icc a b := by
rw [← coe_inj, coe_insert, coe_Icc, coe_Ico, Set.insert_eq, Set.union_comm, Set.Ico_union_right h]
#align finset.Ico_insert_right Finset.Ico_insert_right
@[simp]
| Mathlib/Order/Interval/Finset/Basic.lean | 581 | 582 | theorem Ioc_insert_left (h : a ≤ b) : insert a (Ioc a b) = Icc a b := by |
rw [← coe_inj, coe_insert, coe_Ioc, coe_Icc, Set.insert_eq, Set.union_comm, Set.Ioc_union_left h]
|
/-
Copyright (c) 2022 Kyle Miller, Adam Topaz, Rémi Bottinelli, Junyan Xu. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kyle Miller, Adam Topaz, Rémi Bottinelli, Junyan Xu
-/
import Mathlib.CategoryTheory.Filtered.Basic
import Mathlib.Data.Set.Finite
import Mathlib.Data.Set.Subsingleton
import Mathlib.Topology.Category.TopCat.Limits.Konig
import Mathlib.Tactic.AdaptationNote
#align_import category_theory.cofiltered_system from "leanprover-community/mathlib"@"178a32653e369dce2da68dc6b2694e385d484ef1"
/-!
# Cofiltered systems
This file deals with properties of cofiltered (and inverse) systems.
## Main definitions
Given a functor `F : J ⥤ Type v`:
* For `j : J`, `F.eventualRange j` is the intersections of all ranges of morphisms `F.map f`
where `f` has codomain `j`.
* `F.IsMittagLeffler` states that the functor `F` satisfies the Mittag-Leffler
condition: the ranges of morphisms `F.map f` (with `f` having codomain `j`) stabilize.
* If `J` is cofiltered `F.toEventualRanges` is the subfunctor of `F` obtained by restriction
to `F.eventualRange`.
* `F.toPreimages` restricts a functor to preimages of a given set in some `F.obj i`. If `J` is
cofiltered, then it is Mittag-Leffler if `F` is, see `IsMittagLeffler.toPreimages`.
## Main statements
* `nonempty_sections_of_finite_cofiltered_system` shows that if `J` is cofiltered and each
`F.obj j` is nonempty and finite, `F.sections` is nonempty.
* `nonempty_sections_of_finite_inverse_system` is a specialization of the above to `J` being a
directed set (and `F : Jᵒᵖ ⥤ Type v`).
* `isMittagLeffler_of_exists_finite_range` shows that if `J` is cofiltered and for all `j`,
there exists some `i` and `f : i ⟶ j` such that the range of `F.map f` is finite, then
`F` is Mittag-Leffler.
* `surjective_toEventualRanges` shows that if `F` is Mittag-Leffler, then `F.toEventualRanges`
has all morphisms `F.map f` surjective.
## Todo
* Prove [Stacks: Lemma 0597](https://stacks.math.columbia.edu/tag/0597)
## References
* [Stacks: Mittag-Leffler systems](https://stacks.math.columbia.edu/tag/0594)
## Tags
Mittag-Leffler, surjective, eventual range, inverse system,
-/
universe u v w
open CategoryTheory CategoryTheory.IsCofiltered Set CategoryTheory.FunctorToTypes
section FiniteKonig
/-- This bootstraps `nonempty_sections_of_finite_inverse_system`. In this version,
the `F` functor is between categories of the same universe, and it is an easy
corollary to `TopCat.nonempty_limitCone_of_compact_t2_cofiltered_system`. -/
theorem nonempty_sections_of_finite_cofiltered_system.init {J : Type u} [SmallCategory J]
[IsCofilteredOrEmpty J] (F : J ⥤ Type u) [hf : ∀ j, Finite (F.obj j)]
[hne : ∀ j, Nonempty (F.obj j)] : F.sections.Nonempty := by
let F' : J ⥤ TopCat := F ⋙ TopCat.discrete
haveI : ∀ j, DiscreteTopology (F'.obj j) := fun _ => ⟨rfl⟩
haveI : ∀ j, Finite (F'.obj j) := hf
haveI : ∀ j, Nonempty (F'.obj j) := hne
obtain ⟨⟨u, hu⟩⟩ := TopCat.nonempty_limitCone_of_compact_t2_cofiltered_system.{u} F'
exact ⟨u, hu⟩
#align nonempty_sections_of_finite_cofiltered_system.init nonempty_sections_of_finite_cofiltered_system.init
/-- The cofiltered limit of nonempty finite types is nonempty.
See `nonempty_sections_of_finite_inverse_system` for a specialization to inverse limits. -/
theorem nonempty_sections_of_finite_cofiltered_system {J : Type u} [Category.{w} J]
[IsCofilteredOrEmpty J] (F : J ⥤ Type v) [∀ j : J, Finite (F.obj j)]
[∀ j : J, Nonempty (F.obj j)] : F.sections.Nonempty := by
-- Step 1: lift everything to the `max u v w` universe.
let J' : Type max w v u := AsSmall.{max w v} J
let down : J' ⥤ J := AsSmall.down
let F' : J' ⥤ Type max u v w := down ⋙ F ⋙ uliftFunctor.{max u w, v}
haveI : ∀ i, Nonempty (F'.obj i) := fun i => ⟨⟨Classical.arbitrary (F.obj (down.obj i))⟩⟩
haveI : ∀ i, Finite (F'.obj i) := fun i => Finite.of_equiv (F.obj (down.obj i)) Equiv.ulift.symm
-- Step 2: apply the bootstrap theorem
cases isEmpty_or_nonempty J
· fconstructor <;> apply isEmptyElim
haveI : IsCofiltered J := ⟨⟩
obtain ⟨u, hu⟩ := nonempty_sections_of_finite_cofiltered_system.init F'
-- Step 3: interpret the results
use fun j => (u ⟨j⟩).down
intro j j' f
have h := @hu (⟨j⟩ : J') (⟨j'⟩ : J') (ULift.up f)
simp only [F', down, AsSmall.down, Functor.comp_map, uliftFunctor_map, Functor.op_map] at h
simp_rw [← h]
#align nonempty_sections_of_finite_cofiltered_system nonempty_sections_of_finite_cofiltered_system
/-- The inverse limit of nonempty finite types is nonempty.
See `nonempty_sections_of_finite_cofiltered_system` for a generalization to cofiltered limits.
That version applies in almost all cases, and the only difference is that this version
allows `J` to be empty.
This may be regarded as a generalization of Kőnig's lemma.
To specialize: given a locally finite connected graph, take `Jᵒᵖ` to be `ℕ` and
`F j` to be length-`j` paths that start from an arbitrary fixed vertex.
Elements of `F.sections` can be read off as infinite rays in the graph. -/
theorem nonempty_sections_of_finite_inverse_system {J : Type u} [Preorder J] [IsDirected J (· ≤ ·)]
(F : Jᵒᵖ ⥤ Type v) [∀ j : Jᵒᵖ, Finite (F.obj j)] [∀ j : Jᵒᵖ, Nonempty (F.obj j)] :
F.sections.Nonempty := by
cases isEmpty_or_nonempty J
· haveI : IsEmpty Jᵒᵖ := ⟨fun j => isEmptyElim j.unop⟩ -- TODO: this should be a global instance
exact ⟨isEmptyElim, by apply isEmptyElim⟩
· exact nonempty_sections_of_finite_cofiltered_system _
#align nonempty_sections_of_finite_inverse_system nonempty_sections_of_finite_inverse_system
end FiniteKonig
namespace CategoryTheory
namespace Functor
variable {J : Type u} [Category J] (F : J ⥤ Type v) {i j k : J} (s : Set (F.obj i))
/-- The eventual range of the functor `F : J ⥤ Type v` at index `j : J` is the intersection
of the ranges of all maps `F.map f` with `i : J` and `f : i ⟶ j`. -/
def eventualRange (j : J) :=
⋂ (i) (f : i ⟶ j), range (F.map f)
#align category_theory.functor.eventual_range CategoryTheory.Functor.eventualRange
theorem mem_eventualRange_iff {x : F.obj j} :
x ∈ F.eventualRange j ↔ ∀ ⦃i⦄ (f : i ⟶ j), x ∈ range (F.map f) :=
mem_iInter₂
#align category_theory.functor.mem_eventual_range_iff CategoryTheory.Functor.mem_eventualRange_iff
/-- The functor `F : J ⥤ Type v` satisfies the Mittag-Leffler condition if for all `j : J`,
there exists some `i : J` and `f : i ⟶ j` such that for all `k : J` and `g : k ⟶ j`, the range
of `F.map f` is contained in that of `F.map g`;
in other words (see `isMittagLeffler_iff_eventualRange`), the eventual range at `j` is attained
by some `f : i ⟶ j`. -/
def IsMittagLeffler : Prop :=
∀ j : J, ∃ (i : _) (f : i ⟶ j), ∀ ⦃k⦄ (g : k ⟶ j), range (F.map f) ⊆ range (F.map g)
#align category_theory.functor.is_mittag_leffler CategoryTheory.Functor.IsMittagLeffler
theorem isMittagLeffler_iff_eventualRange :
F.IsMittagLeffler ↔ ∀ j : J, ∃ (i : _) (f : i ⟶ j), F.eventualRange j = range (F.map f) :=
forall_congr' fun _ =>
exists₂_congr fun _ _ =>
⟨fun h => (iInter₂_subset _ _).antisymm <| subset_iInter₂ h, fun h => h ▸ iInter₂_subset⟩
#align category_theory.functor.is_mittag_leffler_iff_eventual_range CategoryTheory.Functor.isMittagLeffler_iff_eventualRange
theorem IsMittagLeffler.subset_image_eventualRange (h : F.IsMittagLeffler) (f : j ⟶ i) :
F.eventualRange i ⊆ F.map f '' F.eventualRange j := by
obtain ⟨k, g, hg⟩ := F.isMittagLeffler_iff_eventualRange.1 h j
rw [hg]; intro x hx
obtain ⟨x, rfl⟩ := F.mem_eventualRange_iff.1 hx (g ≫ f)
exact ⟨_, ⟨x, rfl⟩, by rw [map_comp_apply]⟩
#align category_theory.functor.is_mittag_leffler.subset_image_eventual_range CategoryTheory.Functor.IsMittagLeffler.subset_image_eventualRange
theorem eventualRange_eq_range_precomp (f : i ⟶ j) (g : j ⟶ k)
(h : F.eventualRange k = range (F.map g)) : F.eventualRange k = range (F.map <| f ≫ g) := by
apply subset_antisymm
· apply iInter₂_subset
· rw [h, F.map_comp]
apply range_comp_subset_range
#align category_theory.functor.eventual_range_eq_range_precomp CategoryTheory.Functor.eventualRange_eq_range_precomp
theorem isMittagLeffler_of_surjective (h : ∀ ⦃i j : J⦄ (f : i ⟶ j), (F.map f).Surjective) :
F.IsMittagLeffler :=
fun j => ⟨j, 𝟙 j, fun k g => by rw [map_id, types_id, range_id, (h g).range_eq]⟩
#align category_theory.functor.is_mittag_leffler_of_surjective CategoryTheory.Functor.isMittagLeffler_of_surjective
/-- The subfunctor of `F` obtained by restricting to the preimages of a set `s ∈ F.obj i`. -/
@[simps]
def toPreimages : J ⥤ Type v where
obj j := ⋂ f : j ⟶ i, F.map f ⁻¹' s
map g := MapsTo.restrict (F.map g) _ _ fun x h => by
rw [mem_iInter] at h ⊢
intro f
rw [← mem_preimage, preimage_preimage, mem_preimage]
convert h (g ≫ f); rw [F.map_comp]; rfl
map_id j := by
#adaptation_note /-- nightly-2024-03-16: simp was
simp (config := { unfoldPartialApp := true }) only [MapsTo.restrict, Subtype.map, F.map_id] -/
simp only [MapsTo.restrict, Subtype.map_def, F.map_id]
ext
rfl
map_comp f g := by
#adaptation_note /-- nightly-2024-03-16: simp was
simp (config := { unfoldPartialApp := true }) only [MapsTo.restrict, Subtype.map, F.map_comp] -/
simp only [MapsTo.restrict, Subtype.map_def, F.map_comp]
rfl
#align category_theory.functor.to_preimages CategoryTheory.Functor.toPreimages
instance toPreimages_finite [∀ j, Finite (F.obj j)] : ∀ j, Finite ((F.toPreimages s).obj j) :=
fun _ => Subtype.finite
#align category_theory.functor.to_preimages_finite CategoryTheory.Functor.toPreimages_finite
variable [IsCofilteredOrEmpty J]
theorem eventualRange_mapsTo (f : j ⟶ i) :
(F.eventualRange j).MapsTo (F.map f) (F.eventualRange i) := fun x hx => by
rw [mem_eventualRange_iff] at hx ⊢
intro k f'
obtain ⟨l, g, g', he⟩ := cospan f f'
obtain ⟨x, rfl⟩ := hx g
rw [← map_comp_apply, he, F.map_comp]
exact ⟨_, rfl⟩
#align category_theory.functor.eventual_range_maps_to CategoryTheory.Functor.eventualRange_mapsTo
theorem IsMittagLeffler.eq_image_eventualRange (h : F.IsMittagLeffler) (f : j ⟶ i) :
F.eventualRange i = F.map f '' F.eventualRange j :=
(h.subset_image_eventualRange F f).antisymm <| mapsTo'.1 (F.eventualRange_mapsTo f)
#align category_theory.functor.is_mittag_leffler.eq_image_eventual_range CategoryTheory.Functor.IsMittagLeffler.eq_image_eventualRange
theorem eventualRange_eq_iff {f : i ⟶ j} :
F.eventualRange j = range (F.map f) ↔
∀ ⦃k⦄ (g : k ⟶ i), range (F.map f) ⊆ range (F.map <| g ≫ f) := by
rw [subset_antisymm_iff, eventualRange, and_iff_right (iInter₂_subset _ _), subset_iInter₂_iff]
refine ⟨fun h k g => h _ _, fun h j' f' => ?_⟩
obtain ⟨k, g, g', he⟩ := cospan f f'
refine (h g).trans ?_
rw [he, F.map_comp]
apply range_comp_subset_range
#align category_theory.functor.eventual_range_eq_iff CategoryTheory.Functor.eventualRange_eq_iff
theorem isMittagLeffler_iff_subset_range_comp : F.IsMittagLeffler ↔ ∀ j : J, ∃ (i : _) (f : i ⟶ j),
∀ ⦃k⦄ (g : k ⟶ i), range (F.map f) ⊆ range (F.map <| g ≫ f) := by
simp_rw [isMittagLeffler_iff_eventualRange, eventualRange_eq_iff]
#align category_theory.functor.is_mittag_leffler_iff_subset_range_comp CategoryTheory.Functor.isMittagLeffler_iff_subset_range_comp
theorem IsMittagLeffler.toPreimages (h : F.IsMittagLeffler) : (F.toPreimages s).IsMittagLeffler :=
(isMittagLeffler_iff_subset_range_comp _).2 fun j => by
obtain ⟨j₁, g₁, f₁, -⟩ := IsCofilteredOrEmpty.cone_objs i j
obtain ⟨j₂, f₂, h₂⟩ := F.isMittagLeffler_iff_eventualRange.1 h j₁
refine ⟨j₂, f₂ ≫ f₁, fun j₃ f₃ => ?_⟩
rintro _ ⟨⟨x, hx⟩, rfl⟩
have : F.map f₂ x ∈ F.eventualRange j₁ := by
rw [h₂]
exact ⟨_, rfl⟩
obtain ⟨y, hy, h₃⟩ := h.subset_image_eventualRange F (f₃ ≫ f₂) this
refine ⟨⟨y, mem_iInter.2 fun g₂ => ?_⟩, Subtype.ext ?_⟩
· obtain ⟨j₄, f₄, h₄⟩ := IsCofilteredOrEmpty.cone_maps g₂ ((f₃ ≫ f₂) ≫ g₁)
obtain ⟨y, rfl⟩ := F.mem_eventualRange_iff.1 hy f₄
rw [← map_comp_apply] at h₃
rw [mem_preimage, ← map_comp_apply, h₄, ← Category.assoc, map_comp_apply, h₃,
← map_comp_apply]
apply mem_iInter.1 hx
· simp_rw [toPreimages_map, MapsTo.val_restrict_apply]
rw [← Category.assoc, map_comp_apply, h₃, map_comp_apply]
#align category_theory.functor.is_mittag_leffler.to_preimages CategoryTheory.Functor.IsMittagLeffler.toPreimages
theorem isMittagLeffler_of_exists_finite_range
(h : ∀ j : J, ∃ (i : _) (f : i ⟶ j), (range <| F.map f).Finite) : F.IsMittagLeffler := by
intro j
obtain ⟨i, hi, hf⟩ := h j
obtain ⟨m, ⟨i, f, hm⟩, hmin⟩ := Finset.wellFoundedLT.wf.has_min
{ s : Finset (F.obj j) | ∃ (i : _) (f : i ⟶ j), ↑s = range (F.map f) }
⟨_, i, hi, hf.coe_toFinset⟩
refine ⟨i, f, fun k g =>
(directedOn_range.mp <| F.ranges_directed j).is_bot_of_is_min ⟨⟨i, f⟩, rfl⟩ ?_ _ ⟨⟨k, g⟩, rfl⟩⟩
rintro _ ⟨⟨k', g'⟩, rfl⟩ hl
refine (eq_of_le_of_not_lt hl ?_).ge
have := hmin _ ⟨k', g', (m.finite_toSet.subset <| hm.substr hl).coe_toFinset⟩
rwa [Finset.lt_iff_ssubset, ← Finset.coe_ssubset, Set.Finite.coe_toFinset, hm] at this
#align category_theory.functor.is_mittag_leffler_of_exists_finite_range CategoryTheory.Functor.isMittagLeffler_of_exists_finite_range
/-- The subfunctor of `F` obtained by restricting to the eventual range at each index. -/
@[simps]
def toEventualRanges : J ⥤ Type v where
obj j := F.eventualRange j
map f := (F.eventualRange_mapsTo f).restrict _ _ _
map_id i := by
#adaptation_note /--- nightly-2024-03-16: simp was
simp (config := { unfoldPartialApp := true }) only [MapsTo.restrict, Subtype.map, F.map_id] -/
simp only [MapsTo.restrict, Subtype.map_def, F.map_id]
ext
rfl
map_comp _ _ := by
#adaptation_note /-- nightly-2024-03-16: simp was
simp (config := { unfoldPartialApp := true }) only [MapsTo.restrict, Subtype.map, F.map_comp] -/
simp only [MapsTo.restrict, Subtype.map_def, F.map_comp]
rfl
#align category_theory.functor.to_eventual_ranges CategoryTheory.Functor.toEventualRanges
instance toEventualRanges_finite [∀ j, Finite (F.obj j)] : ∀ j, Finite (F.toEventualRanges.obj j) :=
fun _ => Subtype.finite
#align category_theory.functor.to_eventual_ranges_finite CategoryTheory.Functor.toEventualRanges_finite
/-- The sections of the functor `F : J ⥤ Type v` are in bijection with the sections of
`F.toEventualRanges`. -/
def toEventualRangesSectionsEquiv : F.toEventualRanges.sections ≃ F.sections where
toFun s := ⟨_, fun f => Subtype.coe_inj.2 <| s.prop f⟩
invFun s :=
⟨fun j => ⟨_, mem_iInter₂.2 fun i f => ⟨_, s.prop f⟩⟩, fun f => Subtype.ext <| s.prop f⟩
left_inv _ := by
ext
rfl
right_inv _ := by
ext
rfl
#align category_theory.functor.to_eventual_ranges_sections_equiv CategoryTheory.Functor.toEventualRangesSectionsEquiv
/-- If `F` satisfies the Mittag-Leffler condition, its restriction to eventual ranges is a
surjective functor. -/
theorem surjective_toEventualRanges (h : F.IsMittagLeffler) ⦃i j⦄ (f : i ⟶ j) :
(F.toEventualRanges.map f).Surjective := fun ⟨x, hx⟩ => by
obtain ⟨y, hy, rfl⟩ := h.subset_image_eventualRange F f hx
exact ⟨⟨y, hy⟩, rfl⟩
#align category_theory.functor.surjective_to_eventual_ranges CategoryTheory.Functor.surjective_toEventualRanges
/-- If `F` is nonempty at each index and Mittag-Leffler, then so is `F.toEventualRanges`. -/
| Mathlib/CategoryTheory/CofilteredSystem.lean | 319 | 323 | theorem toEventualRanges_nonempty (h : F.IsMittagLeffler) [∀ j : J, Nonempty (F.obj j)] (j : J) :
Nonempty (F.toEventualRanges.obj j) := by |
let ⟨i, f, h⟩ := F.isMittagLeffler_iff_eventualRange.1 h j
rw [toEventualRanges_obj, h]
infer_instance
|
/-
Copyright (c) 2021 Oliver Nash. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Oliver Nash
-/
import Mathlib.LinearAlgebra.AffineSpace.Independent
import Mathlib.LinearAlgebra.Basis
#align_import linear_algebra.affine_space.basis from "leanprover-community/mathlib"@"2de9c37fa71dde2f1c6feff19876dd6a7b1519f0"
/-!
# Affine bases and barycentric coordinates
Suppose `P` is an affine space modelled on the module `V` over the ring `k`, and `p : ι → P` is an
affine-independent family of points spanning `P`. Given this data, each point `q : P` may be written
uniquely as an affine combination: `q = w₀ p₀ + w₁ p₁ + ⋯` for some (finitely-supported) weights
`wᵢ`. For each `i : ι`, we thus have an affine map `P →ᵃ[k] k`, namely `q ↦ wᵢ`. This family of
maps is known as the family of barycentric coordinates. It is defined in this file.
## The construction
Fixing `i : ι`, and allowing `j : ι` to range over the values `j ≠ i`, we obtain a basis `bᵢ` of `V`
defined by `bᵢ j = p j -ᵥ p i`. Let `fᵢ j : V →ₗ[k] k` be the corresponding dual basis and let
`fᵢ = ∑ j, fᵢ j : V →ₗ[k] k` be the corresponding "sum of all coordinates" form. Then the `i`th
barycentric coordinate of `q : P` is `1 - fᵢ (q -ᵥ p i)`.
## Main definitions
* `AffineBasis`: a structure representing an affine basis of an affine space.
* `AffineBasis.coord`: the map `P →ᵃ[k] k` corresponding to `i : ι`.
* `AffineBasis.coord_apply_eq`: the behaviour of `AffineBasis.coord i` on `p i`.
* `AffineBasis.coord_apply_ne`: the behaviour of `AffineBasis.coord i` on `p j` when `j ≠ i`.
* `AffineBasis.coord_apply`: the behaviour of `AffineBasis.coord i` on `p j` for general `j`.
* `AffineBasis.coord_apply_combination`: the characterisation of `AffineBasis.coord i` in terms
of affine combinations, i.e., `AffineBasis.coord i (w₀ p₀ + w₁ p₁ + ⋯) = wᵢ`.
## TODO
* Construct the affine equivalence between `P` and `{ f : ι →₀ k | f.sum = 1 }`.
-/
open Affine
open Set
universe u₁ u₂ u₃ u₄
/-- An affine basis is a family of affine-independent points whose span is the top subspace. -/
structure AffineBasis (ι : Type u₁) (k : Type u₂) {V : Type u₃} (P : Type u₄) [AddCommGroup V]
[AffineSpace V P] [Ring k] [Module k V] where
protected toFun : ι → P
protected ind' : AffineIndependent k toFun
protected tot' : affineSpan k (range toFun) = ⊤
#align affine_basis AffineBasis
variable {ι ι' k V P : Type*} [AddCommGroup V] [AffineSpace V P]
namespace AffineBasis
section Ring
variable [Ring k] [Module k V] (b : AffineBasis ι k P) {s : Finset ι} {i j : ι} (e : ι ≃ ι')
/-- The unique point in a single-point space is the simplest example of an affine basis. -/
instance : Inhabited (AffineBasis PUnit k PUnit) :=
⟨⟨id, affineIndependent_of_subsingleton k id, by simp⟩⟩
instance instFunLike : FunLike (AffineBasis ι k P) ι P where
coe := AffineBasis.toFun
coe_injective' f g h := by cases f; cases g; congr
#align affine_basis.fun_like AffineBasis.instFunLike
@[ext]
theorem ext {b₁ b₂ : AffineBasis ι k P} (h : (b₁ : ι → P) = b₂) : b₁ = b₂ :=
DFunLike.coe_injective h
#align affine_basis.ext AffineBasis.ext
theorem ind : AffineIndependent k b :=
b.ind'
#align affine_basis.ind AffineBasis.ind
theorem tot : affineSpan k (range b) = ⊤ :=
b.tot'
#align affine_basis.tot AffineBasis.tot
protected theorem nonempty : Nonempty ι :=
not_isEmpty_iff.mp fun hι => by
simpa only [@range_eq_empty _ _ hι, AffineSubspace.span_empty, bot_ne_top] using b.tot
#align affine_basis.nonempty AffineBasis.nonempty
/-- Composition of an affine basis and an equivalence of index types. -/
def reindex (e : ι ≃ ι') : AffineBasis ι' k P :=
⟨b ∘ e.symm, b.ind.comp_embedding e.symm.toEmbedding, by
rw [e.symm.surjective.range_comp]
exact b.3⟩
#align affine_basis.reindex AffineBasis.reindex
@[simp, norm_cast]
theorem coe_reindex : ⇑(b.reindex e) = b ∘ e.symm :=
rfl
#align affine_basis.coe_reindex AffineBasis.coe_reindex
@[simp]
theorem reindex_apply (i' : ι') : b.reindex e i' = b (e.symm i') :=
rfl
#align affine_basis.reindex_apply AffineBasis.reindex_apply
@[simp]
theorem reindex_refl : b.reindex (Equiv.refl _) = b :=
ext rfl
#align affine_basis.reindex_refl AffineBasis.reindex_refl
/-- Given an affine basis for an affine space `P`, if we single out one member of the family, we
obtain a linear basis for the model space `V`.
The linear basis corresponding to the singled-out member `i : ι` is indexed by `{j : ι // j ≠ i}`
and its `j`th element is `b j -ᵥ b i`. (See `basisOf_apply`.) -/
noncomputable def basisOf (i : ι) : Basis { j : ι // j ≠ i } k V :=
Basis.mk ((affineIndependent_iff_linearIndependent_vsub k b i).mp b.ind)
(by
suffices
Submodule.span k (range fun j : { x // x ≠ i } => b ↑j -ᵥ b i) = vectorSpan k (range b) by
rw [this, ← direction_affineSpan, b.tot, AffineSubspace.direction_top]
conv_rhs => rw [← image_univ]
rw [vectorSpan_image_eq_span_vsub_set_right_ne k b (mem_univ i)]
congr
ext v
simp)
#align affine_basis.basis_of AffineBasis.basisOf
@[simp]
theorem basisOf_apply (i : ι) (j : { j : ι // j ≠ i }) : b.basisOf i j = b ↑j -ᵥ b i := by
simp [basisOf]
#align affine_basis.basis_of_apply AffineBasis.basisOf_apply
@[simp]
theorem basisOf_reindex (i : ι') :
(b.reindex e).basisOf i =
(b.basisOf <| e.symm i).reindex (e.subtypeEquiv fun _ => e.eq_symm_apply.not) := by
ext j
simp
#align affine_basis.basis_of_reindex AffineBasis.basisOf_reindex
/-- The `i`th barycentric coordinate of a point. -/
noncomputable def coord (i : ι) : P →ᵃ[k] k where
toFun q := 1 - (b.basisOf i).sumCoords (q -ᵥ b i)
linear := -(b.basisOf i).sumCoords
map_vadd' q v := by
dsimp only
rw [vadd_vsub_assoc, LinearMap.map_add, vadd_eq_add, LinearMap.neg_apply,
sub_add_eq_sub_sub_swap, add_comm, sub_eq_add_neg]
#align affine_basis.coord AffineBasis.coord
@[simp]
theorem linear_eq_sumCoords (i : ι) : (b.coord i).linear = -(b.basisOf i).sumCoords :=
rfl
#align affine_basis.linear_eq_sum_coords AffineBasis.linear_eq_sumCoords
@[simp]
theorem coord_reindex (i : ι') : (b.reindex e).coord i = b.coord (e.symm i) := by
ext
classical simp [AffineBasis.coord]
#align affine_basis.coord_reindex AffineBasis.coord_reindex
@[simp]
theorem coord_apply_eq (i : ι) : b.coord i (b i) = 1 := by
simp only [coord, Basis.coe_sumCoords, LinearEquiv.map_zero, LinearEquiv.coe_coe, sub_zero,
AffineMap.coe_mk, Finsupp.sum_zero_index, vsub_self]
#align affine_basis.coord_apply_eq AffineBasis.coord_apply_eq
@[simp]
theorem coord_apply_ne (h : i ≠ j) : b.coord i (b j) = 0 := by
-- Porting note:
-- in mathlib3 we didn't need to given the `fun j => j ≠ i` argument to `Subtype.coe_mk`,
-- but I don't think we can complain: this proof was over-golfed.
rw [coord, AffineMap.coe_mk, ← @Subtype.coe_mk _ (fun j => j ≠ i) j h.symm, ← b.basisOf_apply,
Basis.sumCoords_self_apply, sub_self]
#align affine_basis.coord_apply_ne AffineBasis.coord_apply_ne
theorem coord_apply [DecidableEq ι] (i j : ι) : b.coord i (b j) = if i = j then 1 else 0 := by
rcases eq_or_ne i j with h | h <;> simp [h]
#align affine_basis.coord_apply AffineBasis.coord_apply
@[simp]
theorem coord_apply_combination_of_mem (hi : i ∈ s) {w : ι → k} (hw : s.sum w = 1) :
b.coord i (s.affineCombination k b w) = w i := by
classical simp only [coord_apply, hi, Finset.affineCombination_eq_linear_combination, if_true,
mul_boole, hw, Function.comp_apply, smul_eq_mul, s.sum_ite_eq,
s.map_affineCombination b w hw]
#align affine_basis.coord_apply_combination_of_mem AffineBasis.coord_apply_combination_of_mem
@[simp]
theorem coord_apply_combination_of_not_mem (hi : i ∉ s) {w : ι → k} (hw : s.sum w = 1) :
b.coord i (s.affineCombination k b w) = 0 := by
classical simp only [coord_apply, hi, Finset.affineCombination_eq_linear_combination, if_false,
mul_boole, hw, Function.comp_apply, smul_eq_mul, s.sum_ite_eq,
s.map_affineCombination b w hw]
#align affine_basis.coord_apply_combination_of_not_mem AffineBasis.coord_apply_combination_of_not_mem
@[simp]
| Mathlib/LinearAlgebra/AffineSpace/Basis.lean | 203 | 209 | theorem sum_coord_apply_eq_one [Fintype ι] (q : P) : ∑ i, b.coord i q = 1 := by |
have hq : q ∈ affineSpan k (range b) := by
rw [b.tot]
exact AffineSubspace.mem_top k V q
obtain ⟨w, hw, rfl⟩ := eq_affineCombination_of_mem_affineSpan_of_fintype hq
convert hw
exact b.coord_apply_combination_of_mem (Finset.mem_univ _) hw
|
/-
Copyright (c) 2022 Jireh Loreaux. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jireh Loreaux
-/
import Mathlib.Algebra.Star.Subalgebra
import Mathlib.Topology.Algebra.Algebra
import Mathlib.Topology.Algebra.Star
#align_import topology.algebra.star_subalgebra from "leanprover-community/mathlib"@"b7f5a77fa29ad9a3ccc484109b0d7534178e7ecd"
/-!
# Topological star (sub)algebras
A topological star algebra over a topological semiring `R` is a topological semiring with a
compatible continuous scalar multiplication by elements of `R` and a continuous star operation.
We reuse typeclass `ContinuousSMul` for topological algebras.
## Results
This is just a minimal stub for now!
The topological closure of a star subalgebra is still a star subalgebra,
which as a star algebra is a topological star algebra.
-/
open scoped Classical
open Set TopologicalSpace
open scoped Classical
namespace StarSubalgebra
section TopologicalStarAlgebra
variable {R A B : Type*} [CommSemiring R] [StarRing R]
variable [TopologicalSpace A] [Semiring A] [Algebra R A] [StarRing A] [StarModule R A]
instance [TopologicalSemiring A] (s : StarSubalgebra R A) : TopologicalSemiring s :=
s.toSubalgebra.topologicalSemiring
/-- The `StarSubalgebra.inclusion` of a star subalgebra is an `Embedding`. -/
theorem embedding_inclusion {S₁ S₂ : StarSubalgebra R A} (h : S₁ ≤ S₂) : Embedding (inclusion h) :=
{ induced := Eq.symm induced_compose
inj := Subtype.map_injective h Function.injective_id }
#align star_subalgebra.embedding_inclusion StarSubalgebra.embedding_inclusion
/-- The `StarSubalgebra.inclusion` of a closed star subalgebra is a `ClosedEmbedding`. -/
theorem closedEmbedding_inclusion {S₁ S₂ : StarSubalgebra R A} (h : S₁ ≤ S₂)
(hS₁ : IsClosed (S₁ : Set A)) : ClosedEmbedding (inclusion h) :=
{ embedding_inclusion h with
isClosed_range := isClosed_induced_iff.2
⟨S₁, hS₁, by
convert (Set.range_subtype_map id _).symm
· rw [Set.image_id]; rfl
· intro _ h'
apply h h' ⟩ }
#align star_subalgebra.closed_embedding_inclusion StarSubalgebra.closedEmbedding_inclusion
variable [TopologicalSemiring A] [ContinuousStar A]
variable [TopologicalSpace B] [Semiring B] [Algebra R B] [StarRing B]
/-- The closure of a star subalgebra in a topological star algebra as a star subalgebra. -/
def topologicalClosure (s : StarSubalgebra R A) : StarSubalgebra R A :=
{
s.toSubalgebra.topologicalClosure with
carrier := closure (s : Set A)
star_mem' := fun ha =>
map_mem_closure continuous_star ha fun x => (star_mem : x ∈ s → star x ∈ s) }
#align star_subalgebra.topological_closure StarSubalgebra.topologicalClosure
theorem topologicalClosure_toSubalgebra_comm (s : StarSubalgebra R A) :
s.topologicalClosure.toSubalgebra = s.toSubalgebra.topologicalClosure :=
SetLike.coe_injective rfl
@[simp]
theorem topologicalClosure_coe (s : StarSubalgebra R A) :
(s.topologicalClosure : Set A) = closure (s : Set A) :=
rfl
#align star_subalgebra.topological_closure_coe StarSubalgebra.topologicalClosure_coe
theorem le_topologicalClosure (s : StarSubalgebra R A) : s ≤ s.topologicalClosure :=
subset_closure
#align star_subalgebra.le_topological_closure StarSubalgebra.le_topologicalClosure
theorem isClosed_topologicalClosure (s : StarSubalgebra R A) :
IsClosed (s.topologicalClosure : Set A) :=
isClosed_closure
#align star_subalgebra.is_closed_topological_closure StarSubalgebra.isClosed_topologicalClosure
instance {A : Type*} [UniformSpace A] [CompleteSpace A] [Semiring A] [StarRing A]
[TopologicalSemiring A] [ContinuousStar A] [Algebra R A] [StarModule R A]
{S : StarSubalgebra R A} : CompleteSpace S.topologicalClosure :=
isClosed_closure.completeSpace_coe
theorem topologicalClosure_minimal {s t : StarSubalgebra R A} (h : s ≤ t)
(ht : IsClosed (t : Set A)) : s.topologicalClosure ≤ t :=
closure_minimal h ht
#align star_subalgebra.topological_closure_minimal StarSubalgebra.topologicalClosure_minimal
theorem topologicalClosure_mono : Monotone (topologicalClosure : _ → StarSubalgebra R A) :=
fun _ S₂ h =>
topologicalClosure_minimal (h.trans <| le_topologicalClosure S₂) (isClosed_topologicalClosure S₂)
#align star_subalgebra.topological_closure_mono StarSubalgebra.topologicalClosure_mono
theorem topologicalClosure_map_le [StarModule R B] [TopologicalSemiring B] [ContinuousStar B]
(s : StarSubalgebra R A) (φ : A →⋆ₐ[R] B) (hφ : IsClosedMap φ) :
(map φ s).topologicalClosure ≤ map φ s.topologicalClosure :=
hφ.closure_image_subset _
theorem map_topologicalClosure_le [StarModule R B] [TopologicalSemiring B] [ContinuousStar B]
(s : StarSubalgebra R A) (φ : A →⋆ₐ[R] B) (hφ : Continuous φ) :
map φ s.topologicalClosure ≤ (map φ s).topologicalClosure :=
image_closure_subset_closure_image hφ
theorem topologicalClosure_map [StarModule R B] [TopologicalSemiring B] [ContinuousStar B]
(s : StarSubalgebra R A) (φ : A →⋆ₐ[R] B) (hφ : ClosedEmbedding φ) :
(map φ s).topologicalClosure = map φ s.topologicalClosure :=
SetLike.coe_injective <| hφ.closure_image_eq _
theorem _root_.Subalgebra.topologicalClosure_star_comm (s : Subalgebra R A) :
(star s).topologicalClosure = star s.topologicalClosure := by
suffices ∀ t : Subalgebra R A, (star t).topologicalClosure ≤ star t.topologicalClosure from
le_antisymm (this s) (by simpa only [star_star] using Subalgebra.star_mono (this (star s)))
exact fun t => (star t).topologicalClosure_minimal (Subalgebra.star_mono subset_closure)
(isClosed_closure.preimage continuous_star)
/-- If a star subalgebra of a topological star algebra is commutative, then so is its topological
closure. See note [reducible non-instances]. -/
abbrev commSemiringTopologicalClosure [T2Space A] (s : StarSubalgebra R A)
(hs : ∀ x y : s, x * y = y * x) : CommSemiring s.topologicalClosure :=
s.toSubalgebra.commSemiringTopologicalClosure hs
#align star_subalgebra.comm_semiring_topological_closure StarSubalgebra.commSemiringTopologicalClosure
/-- If a star subalgebra of a topological star algebra is commutative, then so is its topological
closure. See note [reducible non-instances]. -/
abbrev commRingTopologicalClosure {R A} [CommRing R] [StarRing R] [TopologicalSpace A] [Ring A]
[Algebra R A] [StarRing A] [StarModule R A] [TopologicalRing A] [ContinuousStar A] [T2Space A]
(s : StarSubalgebra R A) (hs : ∀ x y : s, x * y = y * x) : CommRing s.topologicalClosure :=
s.toSubalgebra.commRingTopologicalClosure hs
#align star_subalgebra.comm_ring_topological_closure StarSubalgebra.commRingTopologicalClosure
/-- Continuous `StarAlgHom`s from the topological closure of a `StarSubalgebra` whose
compositions with the `StarSubalgebra.inclusion` map agree are, in fact, equal. -/
theorem _root_.StarAlgHom.ext_topologicalClosure [T2Space B] {S : StarSubalgebra R A}
{φ ψ : S.topologicalClosure →⋆ₐ[R] B} (hφ : Continuous φ) (hψ : Continuous ψ)
(h :
φ.comp (inclusion (le_topologicalClosure S)) = ψ.comp (inclusion (le_topologicalClosure S))) :
φ = ψ := by
rw [DFunLike.ext'_iff]
have : Dense (Set.range <| inclusion (le_topologicalClosure S)) := by
refine embedding_subtype_val.toInducing.dense_iff.2 fun x => ?_
convert show ↑x ∈ closure (S : Set A) from x.prop
rw [← Set.range_comp]
exact
Set.ext fun y =>
⟨by
rintro ⟨y, rfl⟩
exact y.prop, fun hy => ⟨⟨y, hy⟩, rfl⟩⟩
refine Continuous.ext_on this hφ hψ ?_
rintro _ ⟨x, rfl⟩
simpa only using DFunLike.congr_fun h x
#align star_alg_hom.ext_topological_closure StarAlgHom.ext_topologicalClosure
theorem _root_.StarAlgHomClass.ext_topologicalClosure [T2Space B] {F : Type*}
{S : StarSubalgebra R A} [FunLike F S.topologicalClosure B]
[AlgHomClass F R S.topologicalClosure B] [StarAlgHomClass F R S.topologicalClosure B] {φ ψ : F}
(hφ : Continuous φ) (hψ : Continuous ψ) (h : ∀ x : S,
φ (inclusion (le_topologicalClosure S) x) = ψ ((inclusion (le_topologicalClosure S)) x)) :
φ = ψ := by
-- Porting note: an intervening coercion seems to have appeared since ML3
have : (φ : S.topologicalClosure →⋆ₐ[R] B) = (ψ : S.topologicalClosure →⋆ₐ[R] B) := by
refine StarAlgHom.ext_topologicalClosure (R := R) (A := A) (B := B) hφ hψ (StarAlgHom.ext ?_)
simpa only [StarAlgHom.coe_comp, StarAlgHom.coe_coe] using h
rw [DFunLike.ext'_iff, ← StarAlgHom.coe_coe]
apply congrArg _ this
#align star_alg_hom_class.ext_topological_closure StarAlgHomClass.ext_topologicalClosure
end TopologicalStarAlgebra
end StarSubalgebra
section Elemental
open StarSubalgebra StarAlgebra
variable (R : Type*) {A B : Type*} [CommSemiring R] [StarRing R]
variable [TopologicalSpace A] [Semiring A] [StarRing A] [TopologicalSemiring A]
variable [ContinuousStar A] [Algebra R A] [StarModule R A]
variable [TopologicalSpace B] [Semiring B] [StarRing B] [Algebra R B]
/-- The topological closure of the subalgebra generated by a single element. -/
def elementalStarAlgebra (x : A) : StarSubalgebra R A :=
(adjoin R ({x} : Set A)).topologicalClosure
#align elemental_star_algebra elementalStarAlgebra
namespace elementalStarAlgebra
@[aesop safe apply (rule_sets := [SetLike])]
theorem self_mem (x : A) : x ∈ elementalStarAlgebra R x :=
SetLike.le_def.mp (le_topologicalClosure _) (self_mem_adjoin_singleton R x)
#align elemental_star_algebra.self_mem elementalStarAlgebra.self_mem
theorem star_self_mem (x : A) : star x ∈ elementalStarAlgebra R x :=
star_mem <| self_mem R x
#align elemental_star_algebra.star_self_mem elementalStarAlgebra.star_self_mem
/-- The `elementalStarAlgebra` generated by a normal element is commutative. -/
instance [T2Space A] {x : A} [IsStarNormal x] : CommSemiring (elementalStarAlgebra R x) :=
StarSubalgebra.commSemiringTopologicalClosure _ mul_comm
/-- The `elementalStarAlgebra` generated by a normal element is commutative. -/
instance {R A} [CommRing R] [StarRing R] [TopologicalSpace A] [Ring A] [Algebra R A] [StarRing A]
[StarModule R A] [TopologicalRing A] [ContinuousStar A] [T2Space A] {x : A} [IsStarNormal x] :
CommRing (elementalStarAlgebra R x) :=
StarSubalgebra.commRingTopologicalClosure _ mul_comm
theorem isClosed (x : A) : IsClosed (elementalStarAlgebra R x : Set A) :=
isClosed_closure
#align elemental_star_algebra.is_closed elementalStarAlgebra.isClosed
instance {A : Type*} [UniformSpace A] [CompleteSpace A] [Semiring A] [StarRing A]
[TopologicalSemiring A] [ContinuousStar A] [Algebra R A] [StarModule R A] (x : A) :
CompleteSpace (elementalStarAlgebra R x) :=
isClosed_closure.completeSpace_coe
theorem le_of_isClosed_of_mem {S : StarSubalgebra R A} (hS : IsClosed (S : Set A)) {x : A}
(hx : x ∈ S) : elementalStarAlgebra R x ≤ S :=
topologicalClosure_minimal (adjoin_le <| Set.singleton_subset_iff.2 hx) hS
#align elemental_star_algebra.le_of_is_closed_of_mem elementalStarAlgebra.le_of_isClosed_of_mem
/-- The coercion from an elemental algebra to the full algebra as a `ClosedEmbedding`. -/
theorem closedEmbedding_coe (x : A) : ClosedEmbedding ((↑) : elementalStarAlgebra R x → A) :=
{ induced := rfl
inj := Subtype.coe_injective
isClosed_range := by
convert isClosed R x
exact
Set.ext fun y =>
⟨by
rintro ⟨y, rfl⟩
exact y.prop, fun hy => ⟨⟨y, hy⟩, rfl⟩⟩ }
#align elemental_star_algebra.closed_embedding_coe elementalStarAlgebra.closedEmbedding_coe
@[elab_as_elim]
theorem induction_on {x y : A}
(hy : y ∈ elementalStarAlgebra R x) {P : (u : A) → u ∈ elementalStarAlgebra R x → Prop}
(self : P x (self_mem R x)) (star_self : P (star x) (star_self_mem R x))
(algebraMap : ∀ r, P (algebraMap R A r) (_root_.algebraMap_mem _ r))
(add : ∀ u hu v hv, P u hu → P v hv → P (u + v) (add_mem hu hv))
(mul : ∀ u hu v hv, P u hu → P v hv → P (u * v) (mul_mem hu hv))
(closure : ∀ s : Set A, (hs : s ⊆ elementalStarAlgebra R x) → (∀ u, (hu : u ∈ s) →
P u (hs hu)) → ∀ v, (hv : v ∈ closure s) → P v (closure_minimal hs (isClosed R x) hv)) :
P y hy := by
apply closure (adjoin R {x} : Set A) subset_closure (fun y hy ↦ ?_) y hy
rw [SetLike.mem_coe, ← mem_toSubalgebra, adjoin_toSubalgebra] at hy
induction hy using Algebra.adjoin_induction'' with
| mem u hu =>
obtain ((rfl : u = x) | (hu : star u = x)) := by simpa using hu
· exact self
· simp_rw [← hu, star_star] at star_self
exact star_self
| algebraMap r => exact algebraMap r
| add u hu_mem v hv_mem hu hv =>
exact add u (subset_closure hu_mem) v (subset_closure hv_mem) (hu hu_mem) (hv hv_mem)
| mul u hu_mem v hv_mem hu hv =>
exact mul u (subset_closure hu_mem) v (subset_closure hv_mem) (hu hu_mem) (hv hv_mem)
| Mathlib/Topology/Algebra/StarSubalgebra.lean | 270 | 281 | theorem starAlgHomClass_ext [T2Space B] {F : Type*} {a : A}
[FunLike F (elementalStarAlgebra R a) B] [AlgHomClass F R _ B] [StarAlgHomClass F R _ B]
{φ ψ : F} (hφ : Continuous φ)
(hψ : Continuous ψ) (h : φ ⟨a, self_mem R a⟩ = ψ ⟨a, self_mem R a⟩) : φ = ψ := by |
-- Note: help with unfolding `elementalStarAlgebra`
have : StarAlgHomClass F R (↥(topologicalClosure (adjoin R {a}))) B :=
inferInstanceAs (StarAlgHomClass F R (elementalStarAlgebra R a) B)
refine StarAlgHomClass.ext_topologicalClosure hφ hψ fun x => ?_
refine adjoin_induction' x ?_ ?_ ?_ ?_ ?_
exacts [fun y hy => by simpa only [Set.mem_singleton_iff.mp hy] using h, fun r => by
simp only [AlgHomClass.commutes], fun x y hx hy => by simp only [map_add, hx, hy],
fun x y hx hy => by simp only [map_mul, hx, hy], fun x hx => by simp only [map_star, hx]]
|
/-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Mario Carneiro, Kevin Buzzard, Yury Kudryashov
-/
import Mathlib.Algebra.Module.Equiv
import Mathlib.Algebra.Module.Submodule.Basic
import Mathlib.Algebra.PUnitInstances
import Mathlib.Data.Set.Subsingleton
#align_import algebra.module.submodule.lattice from "leanprover-community/mathlib"@"f7fc89d5d5ff1db2d1242c7bb0e9062ce47ef47c"
/-!
# The lattice structure on `Submodule`s
This file defines the lattice structure on submodules, `Submodule.CompleteLattice`, with `⊥`
defined as `{0}` and `⊓` defined as intersection of the underlying carrier.
If `p` and `q` are submodules of a module, `p ≤ q` means that `p ⊆ q`.
Many results about operations on this lattice structure are defined in `LinearAlgebra/Basic.lean`,
most notably those which use `span`.
## Implementation notes
This structure should match the `AddSubmonoid.CompleteLattice` structure, and we should try
to unify the APIs where possible.
-/
universe v
variable {R S M : Type*}
section AddCommMonoid
variable [Semiring R] [Semiring S] [AddCommMonoid M] [Module R M] [Module S M]
variable [SMul S R] [IsScalarTower S R M]
variable {p q : Submodule R M}
namespace Submodule
/-!
## Bottom element of a submodule
-/
/-- The set `{0}` is the bottom element of the lattice of submodules. -/
instance : Bot (Submodule R M) :=
⟨{ (⊥ : AddSubmonoid M) with
carrier := {0}
smul_mem' := by simp }⟩
instance inhabited' : Inhabited (Submodule R M) :=
⟨⊥⟩
#align submodule.inhabited' Submodule.inhabited'
@[simp]
theorem bot_coe : ((⊥ : Submodule R M) : Set M) = {0} :=
rfl
#align submodule.bot_coe Submodule.bot_coe
@[simp]
theorem bot_toAddSubmonoid : (⊥ : Submodule R M).toAddSubmonoid = ⊥ :=
rfl
#align submodule.bot_to_add_submonoid Submodule.bot_toAddSubmonoid
@[simp]
lemma bot_toAddSubgroup {R M} [Ring R] [AddCommGroup M] [Module R M] :
(⊥ : Submodule R M).toAddSubgroup = ⊥ := rfl
variable (R) in
@[simp]
theorem mem_bot {x : M} : x ∈ (⊥ : Submodule R M) ↔ x = 0 :=
Set.mem_singleton_iff
#align submodule.mem_bot Submodule.mem_bot
instance uniqueBot : Unique (⊥ : Submodule R M) :=
⟨inferInstance, fun x ↦ Subtype.ext <| (mem_bot R).1 x.mem⟩
#align submodule.unique_bot Submodule.uniqueBot
instance : OrderBot (Submodule R M) where
bot := ⊥
bot_le p x := by simp (config := { contextual := true }) [zero_mem]
protected theorem eq_bot_iff (p : Submodule R M) : p = ⊥ ↔ ∀ x ∈ p, x = (0 : M) :=
⟨fun h ↦ h.symm ▸ fun _ hx ↦ (mem_bot R).mp hx,
fun h ↦ eq_bot_iff.mpr fun x hx ↦ (mem_bot R).mpr (h x hx)⟩
#align submodule.eq_bot_iff Submodule.eq_bot_iff
@[ext high]
protected theorem bot_ext (x y : (⊥ : Submodule R M)) : x = y := by
rcases x with ⟨x, xm⟩; rcases y with ⟨y, ym⟩; congr
rw [(Submodule.eq_bot_iff _).mp rfl x xm]
rw [(Submodule.eq_bot_iff _).mp rfl y ym]
#align submodule.bot_ext Submodule.bot_ext
protected theorem ne_bot_iff (p : Submodule R M) : p ≠ ⊥ ↔ ∃ x ∈ p, x ≠ (0 : M) := by
simp only [ne_eq, p.eq_bot_iff, not_forall, exists_prop]
#align submodule.ne_bot_iff Submodule.ne_bot_iff
theorem nonzero_mem_of_bot_lt {p : Submodule R M} (bot_lt : ⊥ < p) : ∃ a : p, a ≠ 0 :=
let ⟨b, hb₁, hb₂⟩ := p.ne_bot_iff.mp bot_lt.ne'
⟨⟨b, hb₁⟩, hb₂ ∘ congr_arg Subtype.val⟩
#align submodule.nonzero_mem_of_bot_lt Submodule.nonzero_mem_of_bot_lt
theorem exists_mem_ne_zero_of_ne_bot {p : Submodule R M} (h : p ≠ ⊥) : ∃ b : M, b ∈ p ∧ b ≠ 0 :=
let ⟨b, hb₁, hb₂⟩ := p.ne_bot_iff.mp h
⟨b, hb₁, hb₂⟩
#align submodule.exists_mem_ne_zero_of_ne_bot Submodule.exists_mem_ne_zero_of_ne_bot
-- FIXME: we default PUnit to PUnit.{1} here without the explicit universe annotation
/-- The bottom submodule is linearly equivalent to punit as an `R`-module. -/
@[simps]
def botEquivPUnit : (⊥ : Submodule R M) ≃ₗ[R] PUnit.{v+1} where
toFun _ := PUnit.unit
invFun _ := 0
map_add' _ _ := rfl
map_smul' _ _ := rfl
left_inv _ := Subsingleton.elim _ _
right_inv _ := rfl
#align submodule.bot_equiv_punit Submodule.botEquivPUnit
| Mathlib/Algebra/Module/Submodule/Lattice.lean | 122 | 125 | theorem subsingleton_iff_eq_bot : Subsingleton p ↔ p = ⊥ := by |
rw [subsingleton_iff, Submodule.eq_bot_iff]
refine ⟨fun h x hx ↦ by simpa using h ⟨x, hx⟩ ⟨0, p.zero_mem⟩,
fun h ⟨x, hx⟩ ⟨y, hy⟩ ↦ by simp [h x hx, h y hy]⟩
|
/-
Copyright (c) 2018 Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sébastien Gouëzel, Mario Carneiro, Yury Kudryashov, Heather Macbeth
-/
import Mathlib.Algebra.Module.MinimalAxioms
import Mathlib.Topology.ContinuousFunction.Algebra
import Mathlib.Analysis.Normed.Order.Lattice
import Mathlib.Analysis.NormedSpace.OperatorNorm.Basic
import Mathlib.Analysis.NormedSpace.Star.Basic
import Mathlib.Analysis.NormedSpace.ContinuousLinearMap
import Mathlib.Topology.Bornology.BoundedOperation
#align_import topology.continuous_function.bounded from "leanprover-community/mathlib"@"5dc275ec639221ca4d5f56938eb966f6ad9bc89f"
/-!
# Bounded continuous functions
The type of bounded continuous functions taking values in a metric space, with
the uniform distance.
-/
noncomputable section
open scoped Classical
open Topology Bornology NNReal uniformity UniformConvergence
open Set Filter Metric Function
universe u v w
variable {F : Type*} {α : Type u} {β : Type v} {γ : Type w}
/-- `α →ᵇ β` is the type of bounded continuous functions `α → β` from a topological space to a
metric space.
When possible, instead of parametrizing results over `(f : α →ᵇ β)`,
you should parametrize over `(F : Type*) [BoundedContinuousMapClass F α β] (f : F)`.
When you extend this structure, make sure to extend `BoundedContinuousMapClass`. -/
structure BoundedContinuousFunction (α : Type u) (β : Type v) [TopologicalSpace α]
[PseudoMetricSpace β] extends ContinuousMap α β : Type max u v where
map_bounded' : ∃ C, ∀ x y, dist (toFun x) (toFun y) ≤ C
#align bounded_continuous_function BoundedContinuousFunction
scoped[BoundedContinuousFunction] infixr:25 " →ᵇ " => BoundedContinuousFunction
section
-- Porting note: Changed type of `α β` from `Type*` to `outParam Type*`.
/-- `BoundedContinuousMapClass F α β` states that `F` is a type of bounded continuous maps.
You should also extend this typeclass when you extend `BoundedContinuousFunction`. -/
class BoundedContinuousMapClass (F : Type*) (α β : outParam Type*) [TopologicalSpace α]
[PseudoMetricSpace β] [FunLike F α β] extends ContinuousMapClass F α β : Prop where
map_bounded (f : F) : ∃ C, ∀ x y, dist (f x) (f y) ≤ C
#align bounded_continuous_map_class BoundedContinuousMapClass
end
export BoundedContinuousMapClass (map_bounded)
namespace BoundedContinuousFunction
section Basics
variable [TopologicalSpace α] [PseudoMetricSpace β] [PseudoMetricSpace γ]
variable {f g : α →ᵇ β} {x : α} {C : ℝ}
instance instFunLike : FunLike (α →ᵇ β) α β where
coe f := f.toFun
coe_injective' f g h := by
obtain ⟨⟨_, _⟩, _⟩ := f
obtain ⟨⟨_, _⟩, _⟩ := g
congr
instance instBoundedContinuousMapClass : BoundedContinuousMapClass (α →ᵇ β) α β where
map_continuous f := f.continuous_toFun
map_bounded f := f.map_bounded'
instance instCoeTC [FunLike F α β] [BoundedContinuousMapClass F α β] : CoeTC F (α →ᵇ β) :=
⟨fun f =>
{ toFun := f
continuous_toFun := map_continuous f
map_bounded' := map_bounded f }⟩
@[simp]
theorem coe_to_continuous_fun (f : α →ᵇ β) : (f.toContinuousMap : α → β) = f := rfl
#align bounded_continuous_function.coe_to_continuous_fun BoundedContinuousFunction.coe_to_continuous_fun
/-- See Note [custom simps projection]. We need to specify this projection explicitly in this case,
because it is a composition of multiple projections. -/
def Simps.apply (h : α →ᵇ β) : α → β := h
#align bounded_continuous_function.simps.apply BoundedContinuousFunction.Simps.apply
initialize_simps_projections BoundedContinuousFunction (toContinuousMap_toFun → apply)
protected theorem bounded (f : α →ᵇ β) : ∃ C, ∀ x y : α, dist (f x) (f y) ≤ C :=
f.map_bounded'
#align bounded_continuous_function.bounded BoundedContinuousFunction.bounded
protected theorem continuous (f : α →ᵇ β) : Continuous f :=
f.toContinuousMap.continuous
#align bounded_continuous_function.continuous BoundedContinuousFunction.continuous
@[ext]
theorem ext (h : ∀ x, f x = g x) : f = g :=
DFunLike.ext _ _ h
#align bounded_continuous_function.ext BoundedContinuousFunction.ext
theorem isBounded_range (f : α →ᵇ β) : IsBounded (range f) :=
isBounded_range_iff.2 f.bounded
#align bounded_continuous_function.bounded_range BoundedContinuousFunction.isBounded_range
theorem isBounded_image (f : α →ᵇ β) (s : Set α) : IsBounded (f '' s) :=
f.isBounded_range.subset <| image_subset_range _ _
#align bounded_continuous_function.bounded_image BoundedContinuousFunction.isBounded_image
theorem eq_of_empty [h : IsEmpty α] (f g : α →ᵇ β) : f = g :=
ext <| h.elim
#align bounded_continuous_function.eq_of_empty BoundedContinuousFunction.eq_of_empty
/-- A continuous function with an explicit bound is a bounded continuous function. -/
def mkOfBound (f : C(α, β)) (C : ℝ) (h : ∀ x y : α, dist (f x) (f y) ≤ C) : α →ᵇ β :=
⟨f, ⟨C, h⟩⟩
#align bounded_continuous_function.mk_of_bound BoundedContinuousFunction.mkOfBound
@[simp]
theorem mkOfBound_coe {f} {C} {h} : (mkOfBound f C h : α → β) = (f : α → β) := rfl
#align bounded_continuous_function.mk_of_bound_coe BoundedContinuousFunction.mkOfBound_coe
/-- A continuous function on a compact space is automatically a bounded continuous function. -/
def mkOfCompact [CompactSpace α] (f : C(α, β)) : α →ᵇ β :=
⟨f, isBounded_range_iff.1 (isCompact_range f.continuous).isBounded⟩
#align bounded_continuous_function.mk_of_compact BoundedContinuousFunction.mkOfCompact
@[simp]
theorem mkOfCompact_apply [CompactSpace α] (f : C(α, β)) (a : α) : mkOfCompact f a = f a := rfl
#align bounded_continuous_function.mk_of_compact_apply BoundedContinuousFunction.mkOfCompact_apply
/-- If a function is bounded on a discrete space, it is automatically continuous,
and therefore gives rise to an element of the type of bounded continuous functions. -/
@[simps]
def mkOfDiscrete [DiscreteTopology α] (f : α → β) (C : ℝ) (h : ∀ x y : α, dist (f x) (f y) ≤ C) :
α →ᵇ β :=
⟨⟨f, continuous_of_discreteTopology⟩, ⟨C, h⟩⟩
#align bounded_continuous_function.mk_of_discrete BoundedContinuousFunction.mkOfDiscrete
/-- The uniform distance between two bounded continuous functions. -/
instance instDist : Dist (α →ᵇ β) :=
⟨fun f g => sInf { C | 0 ≤ C ∧ ∀ x : α, dist (f x) (g x) ≤ C }⟩
theorem dist_eq : dist f g = sInf { C | 0 ≤ C ∧ ∀ x : α, dist (f x) (g x) ≤ C } := rfl
#align bounded_continuous_function.dist_eq BoundedContinuousFunction.dist_eq
theorem dist_set_exists : ∃ C, 0 ≤ C ∧ ∀ x : α, dist (f x) (g x) ≤ C := by
rcases isBounded_iff.1 (f.isBounded_range.union g.isBounded_range) with ⟨C, hC⟩
refine ⟨max 0 C, le_max_left _ _, fun x => (hC ?_ ?_).trans (le_max_right _ _)⟩
<;> [left; right]
<;> apply mem_range_self
#align bounded_continuous_function.dist_set_exists BoundedContinuousFunction.dist_set_exists
/-- The pointwise distance is controlled by the distance between functions, by definition. -/
theorem dist_coe_le_dist (x : α) : dist (f x) (g x) ≤ dist f g :=
le_csInf dist_set_exists fun _ hb => hb.2 x
#align bounded_continuous_function.dist_coe_le_dist BoundedContinuousFunction.dist_coe_le_dist
/- This lemma will be needed in the proof of the metric space instance, but it will become
useless afterwards as it will be superseded by the general result that the distance is nonnegative
in metric spaces. -/
private theorem dist_nonneg' : 0 ≤ dist f g :=
le_csInf dist_set_exists fun _ => And.left
/-- The distance between two functions is controlled by the supremum of the pointwise distances. -/
theorem dist_le (C0 : (0 : ℝ) ≤ C) : dist f g ≤ C ↔ ∀ x : α, dist (f x) (g x) ≤ C :=
⟨fun h x => le_trans (dist_coe_le_dist x) h, fun H => csInf_le ⟨0, fun _ => And.left⟩ ⟨C0, H⟩⟩
#align bounded_continuous_function.dist_le BoundedContinuousFunction.dist_le
theorem dist_le_iff_of_nonempty [Nonempty α] : dist f g ≤ C ↔ ∀ x, dist (f x) (g x) ≤ C :=
⟨fun h x => le_trans (dist_coe_le_dist x) h,
fun w => (dist_le (le_trans dist_nonneg (w (Nonempty.some ‹_›)))).mpr w⟩
#align bounded_continuous_function.dist_le_iff_of_nonempty BoundedContinuousFunction.dist_le_iff_of_nonempty
theorem dist_lt_of_nonempty_compact [Nonempty α] [CompactSpace α]
(w : ∀ x : α, dist (f x) (g x) < C) : dist f g < C := by
have c : Continuous fun x => dist (f x) (g x) := by continuity
obtain ⟨x, -, le⟩ :=
IsCompact.exists_isMaxOn isCompact_univ Set.univ_nonempty (Continuous.continuousOn c)
exact lt_of_le_of_lt (dist_le_iff_of_nonempty.mpr fun y => le trivial) (w x)
#align bounded_continuous_function.dist_lt_of_nonempty_compact BoundedContinuousFunction.dist_lt_of_nonempty_compact
theorem dist_lt_iff_of_compact [CompactSpace α] (C0 : (0 : ℝ) < C) :
dist f g < C ↔ ∀ x : α, dist (f x) (g x) < C := by
fconstructor
· intro w x
exact lt_of_le_of_lt (dist_coe_le_dist x) w
· by_cases h : Nonempty α
· exact dist_lt_of_nonempty_compact
· rintro -
convert C0
apply le_antisymm _ dist_nonneg'
rw [dist_eq]
exact csInf_le ⟨0, fun C => And.left⟩ ⟨le_rfl, fun x => False.elim (h (Nonempty.intro x))⟩
#align bounded_continuous_function.dist_lt_iff_of_compact BoundedContinuousFunction.dist_lt_iff_of_compact
theorem dist_lt_iff_of_nonempty_compact [Nonempty α] [CompactSpace α] :
dist f g < C ↔ ∀ x : α, dist (f x) (g x) < C :=
⟨fun w x => lt_of_le_of_lt (dist_coe_le_dist x) w, dist_lt_of_nonempty_compact⟩
#align bounded_continuous_function.dist_lt_iff_of_nonempty_compact BoundedContinuousFunction.dist_lt_iff_of_nonempty_compact
/-- The type of bounded continuous functions, with the uniform distance, is a pseudometric space. -/
instance instPseudoMetricSpace : PseudoMetricSpace (α →ᵇ β) where
dist_self f := le_antisymm ((dist_le le_rfl).2 fun x => by simp) dist_nonneg'
dist_comm f g := by simp [dist_eq, dist_comm]
dist_triangle f g h := (dist_le (add_nonneg dist_nonneg' dist_nonneg')).2
fun x => le_trans (dist_triangle _ _ _) (add_le_add (dist_coe_le_dist _) (dist_coe_le_dist _))
-- Porting note (#10888): added proof for `edist_dist`
edist_dist x y := by dsimp; congr; simp [dist_nonneg']
/-- The type of bounded continuous functions, with the uniform distance, is a metric space. -/
instance instMetricSpace {β} [MetricSpace β] : MetricSpace (α →ᵇ β) where
eq_of_dist_eq_zero hfg := by
ext x
exact eq_of_dist_eq_zero (le_antisymm (hfg ▸ dist_coe_le_dist _) dist_nonneg)
theorem nndist_eq : nndist f g = sInf { C | ∀ x : α, nndist (f x) (g x) ≤ C } :=
Subtype.ext <| dist_eq.trans <| by
rw [val_eq_coe, coe_sInf, coe_image]
simp_rw [mem_setOf_eq, ← NNReal.coe_le_coe, coe_mk, exists_prop, coe_nndist]
#align bounded_continuous_function.nndist_eq BoundedContinuousFunction.nndist_eq
theorem nndist_set_exists : ∃ C, ∀ x : α, nndist (f x) (g x) ≤ C :=
Subtype.exists.mpr <| dist_set_exists.imp fun _ ⟨ha, h⟩ => ⟨ha, h⟩
#align bounded_continuous_function.nndist_set_exists BoundedContinuousFunction.nndist_set_exists
theorem nndist_coe_le_nndist (x : α) : nndist (f x) (g x) ≤ nndist f g :=
dist_coe_le_dist x
#align bounded_continuous_function.nndist_coe_le_nndist BoundedContinuousFunction.nndist_coe_le_nndist
/-- On an empty space, bounded continuous functions are at distance 0. -/
theorem dist_zero_of_empty [IsEmpty α] : dist f g = 0 := by
rw [(ext isEmptyElim : f = g), dist_self]
#align bounded_continuous_function.dist_zero_of_empty BoundedContinuousFunction.dist_zero_of_empty
theorem dist_eq_iSup : dist f g = ⨆ x : α, dist (f x) (g x) := by
cases isEmpty_or_nonempty α
· rw [iSup_of_empty', Real.sSup_empty, dist_zero_of_empty]
refine (dist_le_iff_of_nonempty.mpr <| le_ciSup ?_).antisymm (ciSup_le dist_coe_le_dist)
exact dist_set_exists.imp fun C hC => forall_mem_range.2 hC.2
#align bounded_continuous_function.dist_eq_supr BoundedContinuousFunction.dist_eq_iSup
theorem nndist_eq_iSup : nndist f g = ⨆ x : α, nndist (f x) (g x) :=
Subtype.ext <| dist_eq_iSup.trans <| by simp_rw [val_eq_coe, coe_iSup, coe_nndist]
#align bounded_continuous_function.nndist_eq_supr BoundedContinuousFunction.nndist_eq_iSup
theorem tendsto_iff_tendstoUniformly {ι : Type*} {F : ι → α →ᵇ β} {f : α →ᵇ β} {l : Filter ι} :
Tendsto F l (𝓝 f) ↔ TendstoUniformly (fun i => F i) f l :=
Iff.intro
(fun h =>
tendstoUniformly_iff.2 fun ε ε0 =>
(Metric.tendsto_nhds.mp h ε ε0).mp
(eventually_of_forall fun n hn x =>
lt_of_le_of_lt (dist_coe_le_dist x) (dist_comm (F n) f ▸ hn)))
fun h =>
Metric.tendsto_nhds.mpr fun _ ε_pos =>
(h _ (dist_mem_uniformity <| half_pos ε_pos)).mp
(eventually_of_forall fun n hn =>
lt_of_le_of_lt
((dist_le (half_pos ε_pos).le).mpr fun x => dist_comm (f x) (F n x) ▸ le_of_lt (hn x))
(half_lt_self ε_pos))
#align bounded_continuous_function.tendsto_iff_tendsto_uniformly BoundedContinuousFunction.tendsto_iff_tendstoUniformly
/-- The topology on `α →ᵇ β` is exactly the topology induced by the natural map to `α →ᵤ β`. -/
theorem inducing_coeFn : Inducing (UniformFun.ofFun ∘ (⇑) : (α →ᵇ β) → α →ᵤ β) := by
rw [inducing_iff_nhds]
refine fun f => eq_of_forall_le_iff fun l => ?_
rw [← tendsto_iff_comap, ← tendsto_id', tendsto_iff_tendstoUniformly,
UniformFun.tendsto_iff_tendstoUniformly]
simp [comp_def]
#align bounded_continuous_function.inducing_coe_fn BoundedContinuousFunction.inducing_coeFn
-- TODO: upgrade to a `UniformEmbedding`
theorem embedding_coeFn : Embedding (UniformFun.ofFun ∘ (⇑) : (α →ᵇ β) → α →ᵤ β) :=
⟨inducing_coeFn, fun _ _ h => ext fun x => congr_fun h x⟩
#align bounded_continuous_function.embedding_coe_fn BoundedContinuousFunction.embedding_coeFn
variable (α)
/-- Constant as a continuous bounded function. -/
@[simps! (config := .asFn)] -- Porting note: Changed `simps` to `simps!`
def const (b : β) : α →ᵇ β :=
⟨ContinuousMap.const α b, 0, by simp⟩
#align bounded_continuous_function.const BoundedContinuousFunction.const
variable {α}
theorem const_apply' (a : α) (b : β) : (const α b : α → β) a = b := rfl
#align bounded_continuous_function.const_apply' BoundedContinuousFunction.const_apply'
/-- If the target space is inhabited, so is the space of bounded continuous functions. -/
instance [Inhabited β] : Inhabited (α →ᵇ β) :=
⟨const α default⟩
theorem lipschitz_evalx (x : α) : LipschitzWith 1 fun f : α →ᵇ β => f x :=
LipschitzWith.mk_one fun _ _ => dist_coe_le_dist x
#align bounded_continuous_function.lipschitz_evalx BoundedContinuousFunction.lipschitz_evalx
theorem uniformContinuous_coe : @UniformContinuous (α →ᵇ β) (α → β) _ _ (⇑) :=
uniformContinuous_pi.2 fun x => (lipschitz_evalx x).uniformContinuous
#align bounded_continuous_function.uniform_continuous_coe BoundedContinuousFunction.uniformContinuous_coe
theorem continuous_coe : Continuous fun (f : α →ᵇ β) x => f x :=
UniformContinuous.continuous uniformContinuous_coe
#align bounded_continuous_function.continuous_coe BoundedContinuousFunction.continuous_coe
/-- When `x` is fixed, `(f : α →ᵇ β) ↦ f x` is continuous. -/
@[continuity]
theorem continuous_eval_const {x : α} : Continuous fun f : α →ᵇ β => f x :=
(continuous_apply x).comp continuous_coe
#align bounded_continuous_function.continuous_eval_const BoundedContinuousFunction.continuous_eval_const
/-- The evaluation map is continuous, as a joint function of `u` and `x`. -/
@[continuity]
theorem continuous_eval : Continuous fun p : (α →ᵇ β) × α => p.1 p.2 :=
(continuous_prod_of_continuous_lipschitzWith _ 1 fun f => f.continuous) <| lipschitz_evalx
#align bounded_continuous_function.continuous_eval BoundedContinuousFunction.continuous_eval
/-- Bounded continuous functions taking values in a complete space form a complete space. -/
instance instCompleteSpace [CompleteSpace β] : CompleteSpace (α →ᵇ β) :=
complete_of_cauchySeq_tendsto fun (f : ℕ → α →ᵇ β) (hf : CauchySeq f) => by
/- We have to show that `f n` converges to a bounded continuous function.
For this, we prove pointwise convergence to define the limit, then check
it is a continuous bounded function, and then check the norm convergence. -/
rcases cauchySeq_iff_le_tendsto_0.1 hf with ⟨b, b0, b_bound, b_lim⟩
have f_bdd := fun x n m N hn hm => le_trans (dist_coe_le_dist x) (b_bound n m N hn hm)
have fx_cau : ∀ x, CauchySeq fun n => f n x :=
fun x => cauchySeq_iff_le_tendsto_0.2 ⟨b, b0, f_bdd x, b_lim⟩
choose F hF using fun x => cauchySeq_tendsto_of_complete (fx_cau x)
/- `F : α → β`, `hF : ∀ (x : α), Tendsto (fun n ↦ ↑(f n) x) atTop (𝓝 (F x))`
`F` is the desired limit function. Check that it is uniformly approximated by `f N`. -/
have fF_bdd : ∀ x N, dist (f N x) (F x) ≤ b N :=
fun x N => le_of_tendsto (tendsto_const_nhds.dist (hF x))
(Filter.eventually_atTop.2 ⟨N, fun n hn => f_bdd x N n N (le_refl N) hn⟩)
refine ⟨⟨⟨F, ?_⟩, ?_⟩, ?_⟩
· -- Check that `F` is continuous, as a uniform limit of continuous functions
have : TendstoUniformly (fun n x => f n x) F atTop := by
refine Metric.tendstoUniformly_iff.2 fun ε ε0 => ?_
refine ((tendsto_order.1 b_lim).2 ε ε0).mono fun n hn x => ?_
rw [dist_comm]
exact lt_of_le_of_lt (fF_bdd x n) hn
exact this.continuous (eventually_of_forall fun N => (f N).continuous)
· -- Check that `F` is bounded
rcases (f 0).bounded with ⟨C, hC⟩
refine ⟨C + (b 0 + b 0), fun x y => ?_⟩
calc
dist (F x) (F y) ≤ dist (f 0 x) (f 0 y) + (dist (f 0 x) (F x) + dist (f 0 y) (F y)) :=
dist_triangle4_left _ _ _ _
_ ≤ C + (b 0 + b 0) := by mono
· -- Check that `F` is close to `f N` in distance terms
refine tendsto_iff_dist_tendsto_zero.2 (squeeze_zero (fun _ => dist_nonneg) ?_ b_lim)
exact fun N => (dist_le (b0 _)).2 fun x => fF_bdd x N
/-- Composition of a bounded continuous function and a continuous function. -/
def compContinuous {δ : Type*} [TopologicalSpace δ] (f : α →ᵇ β) (g : C(δ, α)) : δ →ᵇ β where
toContinuousMap := f.1.comp g
map_bounded' := f.map_bounded'.imp fun _ hC _ _ => hC _ _
#align bounded_continuous_function.comp_continuous BoundedContinuousFunction.compContinuous
@[simp]
theorem coe_compContinuous {δ : Type*} [TopologicalSpace δ] (f : α →ᵇ β) (g : C(δ, α)) :
⇑(f.compContinuous g) = f ∘ g := rfl
#align bounded_continuous_function.coe_comp_continuous BoundedContinuousFunction.coe_compContinuous
@[simp]
theorem compContinuous_apply {δ : Type*} [TopologicalSpace δ] (f : α →ᵇ β) (g : C(δ, α)) (x : δ) :
f.compContinuous g x = f (g x) := rfl
#align bounded_continuous_function.comp_continuous_apply BoundedContinuousFunction.compContinuous_apply
theorem lipschitz_compContinuous {δ : Type*} [TopologicalSpace δ] (g : C(δ, α)) :
LipschitzWith 1 fun f : α →ᵇ β => f.compContinuous g :=
LipschitzWith.mk_one fun _ _ => (dist_le dist_nonneg).2 fun x => dist_coe_le_dist (g x)
#align bounded_continuous_function.lipschitz_comp_continuous BoundedContinuousFunction.lipschitz_compContinuous
theorem continuous_compContinuous {δ : Type*} [TopologicalSpace δ] (g : C(δ, α)) :
Continuous fun f : α →ᵇ β => f.compContinuous g :=
(lipschitz_compContinuous g).continuous
#align bounded_continuous_function.continuous_comp_continuous BoundedContinuousFunction.continuous_compContinuous
/-- Restrict a bounded continuous function to a set. -/
def restrict (f : α →ᵇ β) (s : Set α) : s →ᵇ β :=
f.compContinuous <| (ContinuousMap.id _).restrict s
#align bounded_continuous_function.restrict BoundedContinuousFunction.restrict
@[simp]
theorem coe_restrict (f : α →ᵇ β) (s : Set α) : ⇑(f.restrict s) = f ∘ (↑) := rfl
#align bounded_continuous_function.coe_restrict BoundedContinuousFunction.coe_restrict
@[simp]
theorem restrict_apply (f : α →ᵇ β) (s : Set α) (x : s) : f.restrict s x = f x := rfl
#align bounded_continuous_function.restrict_apply BoundedContinuousFunction.restrict_apply
/-- Composition (in the target) of a bounded continuous function with a Lipschitz map again
gives a bounded continuous function. -/
def comp (G : β → γ) {C : ℝ≥0} (H : LipschitzWith C G) (f : α →ᵇ β) : α →ᵇ γ :=
⟨⟨fun x => G (f x), H.continuous.comp f.continuous⟩,
let ⟨D, hD⟩ := f.bounded
⟨max C 0 * D, fun x y =>
calc
dist (G (f x)) (G (f y)) ≤ C * dist (f x) (f y) := H.dist_le_mul _ _
_ ≤ max C 0 * dist (f x) (f y) := by gcongr; apply le_max_left
_ ≤ max C 0 * D := by gcongr; apply hD
⟩⟩
#align bounded_continuous_function.comp BoundedContinuousFunction.comp
/-- The composition operator (in the target) with a Lipschitz map is Lipschitz. -/
theorem lipschitz_comp {G : β → γ} {C : ℝ≥0} (H : LipschitzWith C G) :
LipschitzWith C (comp G H : (α →ᵇ β) → α →ᵇ γ) :=
LipschitzWith.of_dist_le_mul fun f g =>
(dist_le (mul_nonneg C.2 dist_nonneg)).2 fun x =>
calc
dist (G (f x)) (G (g x)) ≤ C * dist (f x) (g x) := H.dist_le_mul _ _
_ ≤ C * dist f g := by gcongr; apply dist_coe_le_dist
#align bounded_continuous_function.lipschitz_comp BoundedContinuousFunction.lipschitz_comp
/-- The composition operator (in the target) with a Lipschitz map is uniformly continuous. -/
theorem uniformContinuous_comp {G : β → γ} {C : ℝ≥0} (H : LipschitzWith C G) :
UniformContinuous (comp G H : (α →ᵇ β) → α →ᵇ γ) :=
(lipschitz_comp H).uniformContinuous
#align bounded_continuous_function.uniform_continuous_comp BoundedContinuousFunction.uniformContinuous_comp
/-- The composition operator (in the target) with a Lipschitz map is continuous. -/
theorem continuous_comp {G : β → γ} {C : ℝ≥0} (H : LipschitzWith C G) :
Continuous (comp G H : (α →ᵇ β) → α →ᵇ γ) :=
(lipschitz_comp H).continuous
#align bounded_continuous_function.continuous_comp BoundedContinuousFunction.continuous_comp
/-- Restriction (in the target) of a bounded continuous function taking values in a subset. -/
def codRestrict (s : Set β) (f : α →ᵇ β) (H : ∀ x, f x ∈ s) : α →ᵇ s :=
⟨⟨s.codRestrict f H, f.continuous.subtype_mk _⟩, f.bounded⟩
#align bounded_continuous_function.cod_restrict BoundedContinuousFunction.codRestrict
section Extend
variable {δ : Type*} [TopologicalSpace δ] [DiscreteTopology δ]
/-- A version of `Function.extend` for bounded continuous maps. We assume that the domain has
discrete topology, so we only need to verify boundedness. -/
nonrec def extend (f : α ↪ δ) (g : α →ᵇ β) (h : δ →ᵇ β) : δ →ᵇ β where
toFun := extend f g h
continuous_toFun := continuous_of_discreteTopology
map_bounded' := by
rw [← isBounded_range_iff, range_extend f.injective]
exact g.isBounded_range.union (h.isBounded_image _)
#align bounded_continuous_function.extend BoundedContinuousFunction.extend
@[simp]
theorem extend_apply (f : α ↪ δ) (g : α →ᵇ β) (h : δ →ᵇ β) (x : α) : extend f g h (f x) = g x :=
f.injective.extend_apply _ _ _
#align bounded_continuous_function.extend_apply BoundedContinuousFunction.extend_apply
@[simp]
nonrec theorem extend_comp (f : α ↪ δ) (g : α →ᵇ β) (h : δ →ᵇ β) : extend f g h ∘ f = g :=
extend_comp f.injective _ _
#align bounded_continuous_function.extend_comp BoundedContinuousFunction.extend_comp
nonrec theorem extend_apply' {f : α ↪ δ} {x : δ} (hx : x ∉ range f) (g : α →ᵇ β) (h : δ →ᵇ β) :
extend f g h x = h x :=
extend_apply' _ _ _ hx
#align bounded_continuous_function.extend_apply' BoundedContinuousFunction.extend_apply'
theorem extend_of_empty [IsEmpty α] (f : α ↪ δ) (g : α →ᵇ β) (h : δ →ᵇ β) : extend f g h = h :=
DFunLike.coe_injective <| Function.extend_of_isEmpty f g h
#align bounded_continuous_function.extend_of_empty BoundedContinuousFunction.extend_of_empty
@[simp]
theorem dist_extend_extend (f : α ↪ δ) (g₁ g₂ : α →ᵇ β) (h₁ h₂ : δ →ᵇ β) :
dist (g₁.extend f h₁) (g₂.extend f h₂) =
max (dist g₁ g₂) (dist (h₁.restrict (range f)ᶜ) (h₂.restrict (range f)ᶜ)) := by
refine le_antisymm ((dist_le <| le_max_iff.2 <| Or.inl dist_nonneg).2 fun x => ?_) (max_le ?_ ?_)
· rcases em (∃ y, f y = x) with (⟨x, rfl⟩ | hx)
· simp only [extend_apply]
exact (dist_coe_le_dist x).trans (le_max_left _ _)
· simp only [extend_apply' hx]
lift x to ((range f)ᶜ : Set δ) using hx
calc
dist (h₁ x) (h₂ x) = dist (h₁.restrict (range f)ᶜ x) (h₂.restrict (range f)ᶜ x) := rfl
_ ≤ dist (h₁.restrict (range f)ᶜ) (h₂.restrict (range f)ᶜ) := dist_coe_le_dist x
_ ≤ _ := le_max_right _ _
· refine (dist_le dist_nonneg).2 fun x => ?_
rw [← extend_apply f g₁ h₁, ← extend_apply f g₂ h₂]
exact dist_coe_le_dist _
· refine (dist_le dist_nonneg).2 fun x => ?_
calc
dist (h₁ x) (h₂ x) = dist (extend f g₁ h₁ x) (extend f g₂ h₂ x) := by
rw [extend_apply' x.coe_prop, extend_apply' x.coe_prop]
_ ≤ _ := dist_coe_le_dist _
#align bounded_continuous_function.dist_extend_extend BoundedContinuousFunction.dist_extend_extend
theorem isometry_extend (f : α ↪ δ) (h : δ →ᵇ β) : Isometry fun g : α →ᵇ β => extend f g h :=
Isometry.of_dist_eq fun g₁ g₂ => by simp [dist_nonneg]
#align bounded_continuous_function.isometry_extend BoundedContinuousFunction.isometry_extend
end Extend
end Basics
section ArzelaAscoli
variable [TopologicalSpace α] [CompactSpace α] [PseudoMetricSpace β]
variable {f g : α →ᵇ β} {x : α} {C : ℝ}
/- Arzela-Ascoli theorem asserts that, on a compact space, a set of functions sharing
a common modulus of continuity and taking values in a compact set forms a compact
subset for the topology of uniform convergence. In this section, we prove this theorem
and several useful variations around it. -/
/-- First version, with pointwise equicontinuity and range in a compact space. -/
theorem arzela_ascoli₁ [CompactSpace β] (A : Set (α →ᵇ β)) (closed : IsClosed A)
(H : Equicontinuous ((↑) : A → α → β)) : IsCompact A := by
simp_rw [Equicontinuous, Metric.equicontinuousAt_iff_pair] at H
refine isCompact_of_totallyBounded_isClosed ?_ closed
refine totallyBounded_of_finite_discretization fun ε ε0 => ?_
rcases exists_between ε0 with ⟨ε₁, ε₁0, εε₁⟩
let ε₂ := ε₁ / 2 / 2
/- We have to find a finite discretization of `u`, i.e., finite information
that is sufficient to reconstruct `u` up to `ε`. This information will be
provided by the values of `u` on a sufficiently dense set `tα`,
slightly translated to fit in a finite `ε₂`-dense set `tβ` in the image. Such
sets exist by compactness of the source and range. Then, to check that these
data determine the function up to `ε`, one uses the control on the modulus of
continuity to extend the closeness on tα to closeness everywhere. -/
have ε₂0 : ε₂ > 0 := half_pos (half_pos ε₁0)
have : ∀ x : α, ∃ U, x ∈ U ∧ IsOpen U ∧
∀ y ∈ U, ∀ z ∈ U, ∀ {f : α →ᵇ β}, f ∈ A → dist (f y) (f z) < ε₂ := fun x =>
let ⟨U, nhdsU, hU⟩ := H x _ ε₂0
let ⟨V, VU, openV, xV⟩ := _root_.mem_nhds_iff.1 nhdsU
⟨V, xV, openV, fun y hy z hz f hf => hU y (VU hy) z (VU hz) ⟨f, hf⟩⟩
choose U hU using this
/- For all `x`, the set `hU x` is an open set containing `x` on which the elements of `A`
fluctuate by at most `ε₂`.
We extract finitely many of these sets that cover the whole space, by compactness. -/
obtain ⟨tα : Set α, _, hfin, htα : univ ⊆ ⋃ x ∈ tα, U x⟩ :=
isCompact_univ.elim_finite_subcover_image (fun x _ => (hU x).2.1) fun x _ =>
mem_biUnion (mem_univ _) (hU x).1
rcases hfin.nonempty_fintype with ⟨_⟩
obtain ⟨tβ : Set β, _, hfin, htβ : univ ⊆ ⋃y ∈ tβ, ball y ε₂⟩ :=
@finite_cover_balls_of_compact β _ _ isCompact_univ _ ε₂0
rcases hfin.nonempty_fintype with ⟨_⟩
-- Associate to every point `y` in the space a nearby point `F y` in `tβ`
choose F hF using fun y => show ∃ z ∈ tβ, dist y z < ε₂ by simpa using htβ (mem_univ y)
-- `F : β → β`, `hF : ∀ (y : β), F y ∈ tβ ∧ dist y (F y) < ε₂`
/- Associate to every function a discrete approximation, mapping each point in `tα`
to a point in `tβ` close to its true image by the function. -/
refine ⟨tα → tβ, by infer_instance, fun f a => ⟨F (f.1 a), (hF (f.1 a)).1⟩, ?_⟩
rintro ⟨f, hf⟩ ⟨g, hg⟩ f_eq_g
-- If two functions have the same approximation, then they are within distance `ε`
refine lt_of_le_of_lt ((dist_le <| le_of_lt ε₁0).2 fun x => ?_) εε₁
obtain ⟨x', x'tα, hx'⟩ := mem_iUnion₂.1 (htα (mem_univ x))
calc
dist (f x) (g x) ≤ dist (f x) (f x') + dist (g x) (g x') + dist (f x') (g x') :=
dist_triangle4_right _ _ _ _
_ ≤ ε₂ + ε₂ + ε₁ / 2 := by
refine le_of_lt (add_lt_add (add_lt_add ?_ ?_) ?_)
· exact (hU x').2.2 _ hx' _ (hU x').1 hf
· exact (hU x').2.2 _ hx' _ (hU x').1 hg
· have F_f_g : F (f x') = F (g x') :=
(congr_arg (fun f : tα → tβ => (f ⟨x', x'tα⟩ : β)) f_eq_g : _)
calc
dist (f x') (g x') ≤ dist (f x') (F (f x')) + dist (g x') (F (f x')) :=
dist_triangle_right _ _ _
_ = dist (f x') (F (f x')) + dist (g x') (F (g x')) := by rw [F_f_g]
_ < ε₂ + ε₂ := (add_lt_add (hF (f x')).2 (hF (g x')).2)
_ = ε₁ / 2 := add_halves _
_ = ε₁ := by rw [add_halves, add_halves]
#align bounded_continuous_function.arzela_ascoli₁ BoundedContinuousFunction.arzela_ascoli₁
/-- Second version, with pointwise equicontinuity and range in a compact subset. -/
theorem arzela_ascoli₂ (s : Set β) (hs : IsCompact s) (A : Set (α →ᵇ β)) (closed : IsClosed A)
(in_s : ∀ (f : α →ᵇ β) (x : α), f ∈ A → f x ∈ s) (H : Equicontinuous ((↑) : A → α → β)) :
IsCompact A := by
/- This version is deduced from the previous one by restricting to the compact type in the target,
using compactness there and then lifting everything to the original space. -/
have M : LipschitzWith 1 Subtype.val := LipschitzWith.subtype_val s
let F : (α →ᵇ s) → α →ᵇ β := comp (↑) M
refine IsCompact.of_isClosed_subset ((?_ : IsCompact (F ⁻¹' A)).image (continuous_comp M)) closed
fun f hf => ?_
· haveI : CompactSpace s := isCompact_iff_compactSpace.1 hs
refine arzela_ascoli₁ _ (continuous_iff_isClosed.1 (continuous_comp M) _ closed) ?_
rw [uniformEmbedding_subtype_val.toUniformInducing.equicontinuous_iff]
exact H.comp (A.restrictPreimage F)
· let g := codRestrict s f fun x => in_s f x hf
rw [show f = F g by ext; rfl] at hf ⊢
exact ⟨g, hf, rfl⟩
#align bounded_continuous_function.arzela_ascoli₂ BoundedContinuousFunction.arzela_ascoli₂
/-- Third (main) version, with pointwise equicontinuity and range in a compact subset, but
without closedness. The closure is then compact. -/
theorem arzela_ascoli [T2Space β] (s : Set β) (hs : IsCompact s) (A : Set (α →ᵇ β))
(in_s : ∀ (f : α →ᵇ β) (x : α), f ∈ A → f x ∈ s) (H : Equicontinuous ((↑) : A → α → β)) :
IsCompact (closure A) :=
/- This version is deduced from the previous one by checking that the closure of `A`, in
addition to being closed, still satisfies the properties of compact range and equicontinuity. -/
arzela_ascoli₂ s hs (closure A) isClosed_closure
(fun _ x hf =>
(mem_of_closed' hs.isClosed).2 fun ε ε0 =>
let ⟨g, gA, dist_fg⟩ := Metric.mem_closure_iff.1 hf ε ε0
⟨g x, in_s g x gA, lt_of_le_of_lt (dist_coe_le_dist _) dist_fg⟩)
(H.closure' continuous_coe)
#align bounded_continuous_function.arzela_ascoli BoundedContinuousFunction.arzela_ascoli
end ArzelaAscoli
section One
variable [TopologicalSpace α] [PseudoMetricSpace β] [One β]
@[to_additive] instance instOne : One (α →ᵇ β) := ⟨const α 1⟩
@[to_additive (attr := simp)]
theorem coe_one : ((1 : α →ᵇ β) : α → β) = 1 := rfl
#align bounded_continuous_function.coe_one BoundedContinuousFunction.coe_one
#align bounded_continuous_function.coe_zero BoundedContinuousFunction.coe_zero
@[to_additive (attr := simp)]
theorem mkOfCompact_one [CompactSpace α] : mkOfCompact (1 : C(α, β)) = 1 := rfl
#align bounded_continuous_function.mk_of_compact_one BoundedContinuousFunction.mkOfCompact_one
#align bounded_continuous_function.mk_of_compact_zero BoundedContinuousFunction.mkOfCompact_zero
@[to_additive]
theorem forall_coe_one_iff_one (f : α →ᵇ β) : (∀ x, f x = 1) ↔ f = 1 :=
(@DFunLike.ext_iff _ _ _ _ f 1).symm
#align bounded_continuous_function.forall_coe_one_iff_one BoundedContinuousFunction.forall_coe_one_iff_one
#align bounded_continuous_function.forall_coe_zero_iff_zero BoundedContinuousFunction.forall_coe_zero_iff_zero
@[to_additive (attr := simp)]
theorem one_compContinuous [TopologicalSpace γ] (f : C(γ, α)) : (1 : α →ᵇ β).compContinuous f = 1 :=
rfl
#align bounded_continuous_function.one_comp_continuous BoundedContinuousFunction.one_compContinuous
#align bounded_continuous_function.zero_comp_continuous BoundedContinuousFunction.zero_compContinuous
end One
section add
variable [TopologicalSpace α] [PseudoMetricSpace β] [AddMonoid β] [BoundedAdd β] [ContinuousAdd β]
variable (f g : α →ᵇ β) {x : α} {C : ℝ}
/-- The pointwise sum of two bounded continuous functions is again bounded continuous. -/
instance instAdd : Add (α →ᵇ β) where
add f g :=
{ toFun := fun x ↦ f x + g x
continuous_toFun := f.continuous.add g.continuous
map_bounded' := add_bounded_of_bounded_of_bounded (map_bounded f) (map_bounded g) }
@[simp]
theorem coe_add : ⇑(f + g) = f + g := rfl
#align bounded_continuous_function.coe_add BoundedContinuousFunction.coe_add
theorem add_apply : (f + g) x = f x + g x := rfl
#align bounded_continuous_function.add_apply BoundedContinuousFunction.add_apply
@[simp]
theorem mkOfCompact_add [CompactSpace α] (f g : C(α, β)) :
mkOfCompact (f + g) = mkOfCompact f + mkOfCompact g := rfl
#align bounded_continuous_function.mk_of_compact_add BoundedContinuousFunction.mkOfCompact_add
theorem add_compContinuous [TopologicalSpace γ] (h : C(γ, α)) :
(g + f).compContinuous h = g.compContinuous h + f.compContinuous h := rfl
#align bounded_continuous_function.add_comp_continuous BoundedContinuousFunction.add_compContinuous
@[simp]
theorem coe_nsmulRec : ∀ n, ⇑(nsmulRec n f) = n • ⇑f
| 0 => by rw [nsmulRec, zero_smul, coe_zero]
| n + 1 => by rw [nsmulRec, succ_nsmul, coe_add, coe_nsmulRec n]
#align bounded_continuous_function.coe_nsmul_rec BoundedContinuousFunction.coe_nsmulRec
instance instSMulNat : SMul ℕ (α →ᵇ β) where
smul n f :=
{ toContinuousMap := n • f.toContinuousMap
map_bounded' := by simpa [coe_nsmulRec] using (nsmulRec n f).map_bounded' }
#align bounded_continuous_function.has_nat_scalar BoundedContinuousFunction.instSMulNat
@[simp]
theorem coe_nsmul (r : ℕ) (f : α →ᵇ β) : ⇑(r • f) = r • ⇑f := rfl
#align bounded_continuous_function.coe_nsmul BoundedContinuousFunction.coe_nsmul
@[simp]
theorem nsmul_apply (r : ℕ) (f : α →ᵇ β) (v : α) : (r • f) v = r • f v := rfl
#align bounded_continuous_function.nsmul_apply BoundedContinuousFunction.nsmul_apply
instance instAddMonoid : AddMonoid (α →ᵇ β) :=
DFunLike.coe_injective.addMonoid _ coe_zero coe_add fun _ _ => coe_nsmul _ _
/-- Coercion of a `NormedAddGroupHom` is an `AddMonoidHom`. Similar to `AddMonoidHom.coeFn`. -/
@[simps]
def coeFnAddHom : (α →ᵇ β) →+ α → β where
toFun := (⇑)
map_zero' := coe_zero
map_add' := coe_add
#align bounded_continuous_function.coe_fn_add_hom BoundedContinuousFunction.coeFnAddHom
variable (α β)
/-- The additive map forgetting that a bounded continuous function is bounded. -/
@[simps]
def toContinuousMapAddHom : (α →ᵇ β) →+ C(α, β) where
toFun := toContinuousMap
map_zero' := rfl
map_add' := by
intros
ext
simp
#align bounded_continuous_function.to_continuous_map_add_hom BoundedContinuousFunction.toContinuousMapAddHom
end add
section comm_add
variable [TopologicalSpace α]
variable [PseudoMetricSpace β] [AddCommMonoid β] [BoundedAdd β] [ContinuousAdd β]
@[to_additive]
instance instAddCommMonoid : AddCommMonoid (α →ᵇ β) where
add_comm f g := by ext; simp [add_comm]
@[simp]
theorem coe_sum {ι : Type*} (s : Finset ι) (f : ι → α →ᵇ β) :
⇑(∑ i ∈ s, f i) = ∑ i ∈ s, (f i : α → β) :=
map_sum coeFnAddHom f s
#align bounded_continuous_function.coe_sum BoundedContinuousFunction.coe_sum
theorem sum_apply {ι : Type*} (s : Finset ι) (f : ι → α →ᵇ β) (a : α) :
(∑ i ∈ s, f i) a = ∑ i ∈ s, f i a := by simp
#align bounded_continuous_function.sum_apply BoundedContinuousFunction.sum_apply
end comm_add
section LipschitzAdd
/- In this section, if `β` is an `AddMonoid` whose addition operation is Lipschitz, then we show
that the space of bounded continuous functions from `α` to `β` inherits a topological `AddMonoid`
structure, by using pointwise operations and checking that they are compatible with the uniform
distance.
Implementation note: The material in this section could have been written for `LipschitzMul`
and transported by `@[to_additive]`. We choose not to do this because this causes a few lemma
names (for example, `coe_mul`) to conflict with later lemma names for normed rings; this is only a
trivial inconvenience, but in any case there are no obvious applications of the multiplicative
version. -/
variable [TopologicalSpace α] [PseudoMetricSpace β] [AddMonoid β] [LipschitzAdd β]
variable (f g : α →ᵇ β) {x : α} {C : ℝ}
instance instLipschitzAdd : LipschitzAdd (α →ᵇ β) where
lipschitz_add :=
⟨LipschitzAdd.C β, by
have C_nonneg := (LipschitzAdd.C β).coe_nonneg
rw [lipschitzWith_iff_dist_le_mul]
rintro ⟨f₁, g₁⟩ ⟨f₂, g₂⟩
rw [dist_le (mul_nonneg C_nonneg dist_nonneg)]
intro x
refine le_trans (lipschitz_with_lipschitz_const_add ⟨f₁ x, g₁ x⟩ ⟨f₂ x, g₂ x⟩) ?_
refine mul_le_mul_of_nonneg_left ?_ C_nonneg
apply max_le_max <;> exact dist_coe_le_dist x⟩
end LipschitzAdd
section sub
variable [TopologicalSpace α]
variable {R : Type*} [PseudoMetricSpace R] [Sub R] [BoundedSub R] [ContinuousSub R]
variable (f g : α →ᵇ R)
/-- The pointwise difference of two bounded continuous functions is again bounded continuous. -/
instance instSub : Sub (α →ᵇ R) where
sub f g :=
{ toFun := fun x ↦ (f x - g x),
map_bounded' := sub_bounded_of_bounded_of_bounded f.map_bounded' g.map_bounded' }
theorem sub_apply {x : α} : (f - g) x = f x - g x := rfl
#align bounded_continuous_function.sub_apply BoundedContinuousFunction.sub_apply
@[simp]
theorem coe_sub : ⇑(f - g) = f - g := rfl
#align bounded_continuous_function.coe_sub BoundedContinuousFunction.coe_sub
end sub
section casts
variable [TopologicalSpace α] {β : Type*} [PseudoMetricSpace β]
instance [NatCast β] : NatCast (α →ᵇ β) := ⟨fun n ↦ BoundedContinuousFunction.const _ n⟩
@[simp]
theorem natCast_apply [NatCast β] (n : ℕ) (x : α) : (n : α →ᵇ β) x = n := rfl
instance [IntCast β] : IntCast (α →ᵇ β) := ⟨fun m ↦ BoundedContinuousFunction.const _ m⟩
@[simp]
theorem intCast_apply [IntCast β] (m : ℤ) (x : α) : (m : α →ᵇ β) x = m := rfl
end casts
section mul
variable [TopologicalSpace α] {R : Type*} [PseudoMetricSpace R]
instance instMul [Mul R] [BoundedMul R] [ContinuousMul R] :
Mul (α →ᵇ R) where
mul f g :=
{ toFun := fun x ↦ f x * g x
continuous_toFun := f.continuous.mul g.continuous
map_bounded' := mul_bounded_of_bounded_of_bounded (map_bounded f) (map_bounded g) }
@[simp]
theorem coe_mul [Mul R] [BoundedMul R] [ContinuousMul R] (f g : α →ᵇ R) : ⇑(f * g) = f * g := rfl
#align bounded_continuous_function.coe_mul BoundedContinuousFunction.coe_mul
theorem mul_apply [Mul R] [BoundedMul R] [ContinuousMul R] (f g : α →ᵇ R) (x : α) :
(f * g) x = f x * g x := rfl
#align bounded_continuous_function.mul_apply BoundedContinuousFunction.mul_apply
instance instPow [Monoid R] [BoundedMul R] [ContinuousMul R] : Pow (α →ᵇ R) ℕ where
pow f n :=
{ toFun := fun x ↦ (f x) ^ n
continuous_toFun := f.continuous.pow n
map_bounded' := by
obtain ⟨C, hC⟩ := Metric.isBounded_iff.mp <| isBounded_pow (isBounded_range f) n
exact ⟨C, fun x y ↦ hC (by simp) (by simp)⟩ }
theorem coe_pow [Monoid R] [BoundedMul R] [ContinuousMul R] (n : ℕ) (f : α →ᵇ R) :
⇑(f ^ n) = (⇑f) ^ n := rfl
#align bounded_continuous_function.coe_pow BoundedContinuousFunction.coe_pow
@[simp]
theorem pow_apply [Monoid R] [BoundedMul R] [ContinuousMul R] (n : ℕ) (f : α →ᵇ R) (x : α) :
(f ^ n) x = f x ^ n := rfl
#align bounded_continuous_function.pow_apply BoundedContinuousFunction.pow_apply
instance instMonoid [Monoid R] [BoundedMul R] [ContinuousMul R] :
Monoid (α →ᵇ R) :=
Injective.monoid (↑) DFunLike.coe_injective' rfl (fun _ _ ↦ rfl) (fun _ _ ↦ rfl)
instance instCommMonoid [CommMonoid R] [BoundedMul R] [ContinuousMul R] :
CommMonoid (α →ᵇ R) where
__ := instMonoid
mul_comm f g := by ext x; simp [mul_apply, mul_comm]
instance instSemiring [Semiring R] [BoundedMul R] [ContinuousMul R]
[BoundedAdd R] [ContinuousAdd R] :
Semiring (α →ᵇ R) :=
Injective.semiring (↑) DFunLike.coe_injective'
rfl rfl (fun _ _ ↦ rfl) (fun _ _ ↦ rfl) (fun _ _ ↦ rfl) (fun _ _ ↦ rfl) (fun _ ↦ rfl)
end mul
section NormedAddCommGroup
/- In this section, if `β` is a normed group, then we show that the space of bounded
continuous functions from `α` to `β` inherits a normed group structure, by using
pointwise operations and checking that they are compatible with the uniform distance. -/
variable [TopologicalSpace α] [SeminormedAddCommGroup β]
variable (f g : α →ᵇ β) {x : α} {C : ℝ}
instance instNorm : Norm (α →ᵇ β) := ⟨(dist · 0)⟩
theorem norm_def : ‖f‖ = dist f 0 := rfl
#align bounded_continuous_function.norm_def BoundedContinuousFunction.norm_def
/-- The norm of a bounded continuous function is the supremum of `‖f x‖`.
We use `sInf` to ensure that the definition works if `α` has no elements. -/
theorem norm_eq (f : α →ᵇ β) : ‖f‖ = sInf { C : ℝ | 0 ≤ C ∧ ∀ x : α, ‖f x‖ ≤ C } := by
simp [norm_def, BoundedContinuousFunction.dist_eq]
#align bounded_continuous_function.norm_eq BoundedContinuousFunction.norm_eq
/-- When the domain is non-empty, we do not need the `0 ≤ C` condition in the formula for `‖f‖` as a
`sInf`. -/
| Mathlib/Topology/ContinuousFunction/Bounded.lean | 880 | 886 | theorem norm_eq_of_nonempty [h : Nonempty α] : ‖f‖ = sInf { C : ℝ | ∀ x : α, ‖f x‖ ≤ C } := by |
obtain ⟨a⟩ := h
rw [norm_eq]
congr
ext
simp only [mem_setOf_eq, and_iff_right_iff_imp]
exact fun h' => le_trans (norm_nonneg (f a)) (h' a)
|
/-
Copyright (c) 2022 Floris van Doorn. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Floris van Doorn
-/
import Mathlib.Analysis.Calculus.ContDiff.Basic
import Mathlib.Analysis.Calculus.ParametricIntegral
import Mathlib.MeasureTheory.Constructions.Prod.Integral
import Mathlib.MeasureTheory.Function.LocallyIntegrable
import Mathlib.MeasureTheory.Group.Integral
import Mathlib.MeasureTheory.Group.Prod
import Mathlib.MeasureTheory.Integral.IntervalIntegral
#align_import analysis.convolution from "leanprover-community/mathlib"@"8905e5ed90859939681a725b00f6063e65096d95"
/-!
# Convolution of functions
This file defines the convolution on two functions, i.e. `x ↦ ∫ f(t)g(x - t) ∂t`.
In the general case, these functions can be vector-valued, and have an arbitrary (additive)
group as domain. We use a continuous bilinear operation `L` on these function values as
"multiplication". The domain must be equipped with a Haar measure `μ`
(though many individual results have weaker conditions on `μ`).
For many applications we can take `L = ContinuousLinearMap.lsmul ℝ ℝ` or
`L = ContinuousLinearMap.mul ℝ ℝ`.
We also define `ConvolutionExists` and `ConvolutionExistsAt` to state that the convolution is
well-defined (everywhere or at a single point). These conditions are needed for pointwise
computations (e.g. `ConvolutionExistsAt.distrib_add`), but are generally not strong enough for any
local (or global) properties of the convolution. For this we need stronger assumptions on `f`
and/or `g`, and generally if we impose stronger conditions on one of the functions, we can impose
weaker conditions on the other.
We have proven many of the properties of the convolution assuming one of these functions
has compact support (in which case the other function only needs to be locally integrable).
We still need to prove the properties for other pairs of conditions (e.g. both functions are
rapidly decreasing)
# Design Decisions
We use a bilinear map `L` to "multiply" the two functions in the integrand.
This generality has several advantages
* This allows us to compute the total derivative of the convolution, in case the functions are
multivariate. The total derivative is again a convolution, but where the codomains of the
functions can be higher-dimensional. See `HasCompactSupport.hasFDerivAt_convolution_right`.
* This allows us to use `@[to_additive]` everywhere (which would not be possible if we would use
`mul`/`smul` in the integral, since `@[to_additive]` will incorrectly also try to additivize
those definitions).
* We need to support the case where at least one of the functions is vector-valued, but if we use
`smul` to multiply the functions, that would be an asymmetric definition.
# Main Definitions
* `convolution f g L μ x = (f ⋆[L, μ] g) x = ∫ t, L (f t) (g (x - t)) ∂μ` is the convolution of
`f` and `g` w.r.t. the continuous bilinear map `L` and measure `μ`.
* `ConvolutionExistsAt f g x L μ` states that the convolution `(f ⋆[L, μ] g) x` is well-defined
(i.e. the integral exists).
* `ConvolutionExists f g L μ` states that the convolution `f ⋆[L, μ] g` is well-defined at each
point.
# Main Results
* `HasCompactSupport.hasFDerivAt_convolution_right` and
`HasCompactSupport.hasFDerivAt_convolution_left`: we can compute the total derivative
of the convolution as a convolution with the total derivative of the right (left) function.
* `HasCompactSupport.contDiff_convolution_right` and
`HasCompactSupport.contDiff_convolution_left`: the convolution is `𝒞ⁿ` if one of the functions
is `𝒞ⁿ` with compact support and the other function in locally integrable.
Versions of these statements for functions depending on a parameter are also given.
* `convolution_tendsto_right`: Given a sequence of nonnegative normalized functions whose support
tends to a small neighborhood around `0`, the convolution tends to the right argument.
This is specialized to bump functions in `ContDiffBump.convolution_tendsto_right`.
# Notation
The following notations are localized in the locale `convolution`:
* `f ⋆[L, μ] g` for the convolution. Note: you have to use parentheses to apply the convolution
to an argument: `(f ⋆[L, μ] g) x`.
* `f ⋆[L] g := f ⋆[L, volume] g`
* `f ⋆ g := f ⋆[lsmul ℝ ℝ] g`
# To do
* Existence and (uniform) continuity of the convolution if
one of the maps is in `ℒ^p` and the other in `ℒ^q` with `1 / p + 1 / q = 1`.
This might require a generalization of `MeasureTheory.Memℒp.smul` where `smul` is generalized
to a continuous bilinear map.
(see e.g. [Fremlin, *Measure Theory* (volume 2)][fremlin_vol2], 255K)
* The convolution is an `AEStronglyMeasurable` function
(see e.g. [Fremlin, *Measure Theory* (volume 2)][fremlin_vol2], 255I).
* Prove properties about the convolution if both functions are rapidly decreasing.
* Use `@[to_additive]` everywhere (this likely requires changes in `to_additive`)
-/
open Set Function Filter MeasureTheory MeasureTheory.Measure TopologicalSpace
open ContinuousLinearMap Metric Bornology
open scoped Pointwise Topology NNReal Filter
universe u𝕜 uG uE uE' uE'' uF uF' uF'' uP
variable {𝕜 : Type u𝕜} {G : Type uG} {E : Type uE} {E' : Type uE'} {E'' : Type uE''} {F : Type uF}
{F' : Type uF'} {F'' : Type uF''} {P : Type uP}
variable [NormedAddCommGroup E] [NormedAddCommGroup E'] [NormedAddCommGroup E'']
[NormedAddCommGroup F] {f f' : G → E} {g g' : G → E'} {x x' : G} {y y' : E}
namespace MeasureTheory
section NontriviallyNormedField
variable [NontriviallyNormedField 𝕜]
variable [NormedSpace 𝕜 E] [NormedSpace 𝕜 E'] [NormedSpace 𝕜 E''] [NormedSpace 𝕜 F]
variable (L : E →L[𝕜] E' →L[𝕜] F)
section NoMeasurability
variable [AddGroup G] [TopologicalSpace G]
theorem convolution_integrand_bound_right_of_le_of_subset {C : ℝ} (hC : ∀ i, ‖g i‖ ≤ C) {x t : G}
{s u : Set G} (hx : x ∈ s) (hu : -tsupport g + s ⊆ u) :
‖L (f t) (g (x - t))‖ ≤ u.indicator (fun t => ‖L‖ * ‖f t‖ * C) t := by
-- Porting note: had to add `f := _`
refine le_indicator (f := fun t ↦ ‖L (f t) (g (x - t))‖) (fun t _ => ?_) (fun t ht => ?_) t
· apply_rules [L.le_of_opNorm₂_le_of_le, le_rfl]
· have : x - t ∉ support g := by
refine mt (fun hxt => hu ?_) ht
refine ⟨_, Set.neg_mem_neg.mpr (subset_closure hxt), _, hx, ?_⟩
simp only [neg_sub, sub_add_cancel]
simp only [nmem_support.mp this, (L _).map_zero, norm_zero, le_rfl]
#align convolution_integrand_bound_right_of_le_of_subset MeasureTheory.convolution_integrand_bound_right_of_le_of_subset
theorem _root_.HasCompactSupport.convolution_integrand_bound_right_of_subset
(hcg : HasCompactSupport g) (hg : Continuous g)
{x t : G} {s u : Set G} (hx : x ∈ s) (hu : -tsupport g + s ⊆ u) :
‖L (f t) (g (x - t))‖ ≤ u.indicator (fun t => ‖L‖ * ‖f t‖ * ⨆ i, ‖g i‖) t := by
refine convolution_integrand_bound_right_of_le_of_subset _ (fun i => ?_) hx hu
exact le_ciSup (hg.norm.bddAbove_range_of_hasCompactSupport hcg.norm) _
#align has_compact_support.convolution_integrand_bound_right_of_subset HasCompactSupport.convolution_integrand_bound_right_of_subset
theorem _root_.HasCompactSupport.convolution_integrand_bound_right (hcg : HasCompactSupport g)
(hg : Continuous g) {x t : G} {s : Set G} (hx : x ∈ s) :
‖L (f t) (g (x - t))‖ ≤ (-tsupport g + s).indicator (fun t => ‖L‖ * ‖f t‖ * ⨆ i, ‖g i‖) t :=
hcg.convolution_integrand_bound_right_of_subset L hg hx Subset.rfl
#align has_compact_support.convolution_integrand_bound_right HasCompactSupport.convolution_integrand_bound_right
theorem _root_.Continuous.convolution_integrand_fst [ContinuousSub G] (hg : Continuous g) (t : G) :
Continuous fun x => L (f t) (g (x - t)) :=
L.continuous₂.comp₂ continuous_const <| hg.comp <| continuous_id.sub continuous_const
#align continuous.convolution_integrand_fst Continuous.convolution_integrand_fst
theorem _root_.HasCompactSupport.convolution_integrand_bound_left (hcf : HasCompactSupport f)
(hf : Continuous f) {x t : G} {s : Set G} (hx : x ∈ s) :
‖L (f (x - t)) (g t)‖ ≤
(-tsupport f + s).indicator (fun t => (‖L‖ * ⨆ i, ‖f i‖) * ‖g t‖) t := by
convert hcf.convolution_integrand_bound_right L.flip hf hx using 1
simp_rw [L.opNorm_flip, mul_right_comm]
#align has_compact_support.convolution_integrand_bound_left HasCompactSupport.convolution_integrand_bound_left
end NoMeasurability
section Measurability
variable [MeasurableSpace G] {μ ν : Measure G}
/-- The convolution of `f` and `g` exists at `x` when the function `t ↦ L (f t) (g (x - t))` is
integrable. There are various conditions on `f` and `g` to prove this. -/
def ConvolutionExistsAt [Sub G] (f : G → E) (g : G → E') (x : G) (L : E →L[𝕜] E' →L[𝕜] F)
(μ : Measure G := by volume_tac) : Prop :=
Integrable (fun t => L (f t) (g (x - t))) μ
#align convolution_exists_at MeasureTheory.ConvolutionExistsAt
/-- The convolution of `f` and `g` exists when the function `t ↦ L (f t) (g (x - t))` is integrable
for all `x : G`. There are various conditions on `f` and `g` to prove this. -/
def ConvolutionExists [Sub G] (f : G → E) (g : G → E') (L : E →L[𝕜] E' →L[𝕜] F)
(μ : Measure G := by volume_tac) : Prop :=
∀ x : G, ConvolutionExistsAt f g x L μ
#align convolution_exists MeasureTheory.ConvolutionExists
section ConvolutionExists
variable {L} in
theorem ConvolutionExistsAt.integrable [Sub G] {x : G} (h : ConvolutionExistsAt f g x L μ) :
Integrable (fun t => L (f t) (g (x - t))) μ :=
h
#align convolution_exists_at.integrable MeasureTheory.ConvolutionExistsAt.integrable
section Group
variable [AddGroup G]
theorem AEStronglyMeasurable.convolution_integrand' [MeasurableAdd₂ G]
[MeasurableNeg G] [SigmaFinite ν] (hf : AEStronglyMeasurable f ν)
(hg : AEStronglyMeasurable g <| map (fun p : G × G => p.1 - p.2) (μ.prod ν)) :
AEStronglyMeasurable (fun p : G × G => L (f p.2) (g (p.1 - p.2))) (μ.prod ν) :=
L.aestronglyMeasurable_comp₂ hf.snd <| hg.comp_measurable measurable_sub
#align measure_theory.ae_strongly_measurable.convolution_integrand' MeasureTheory.AEStronglyMeasurable.convolution_integrand'
section
variable [MeasurableAdd G] [MeasurableNeg G]
theorem AEStronglyMeasurable.convolution_integrand_snd'
(hf : AEStronglyMeasurable f μ) {x : G}
(hg : AEStronglyMeasurable g <| map (fun t => x - t) μ) :
AEStronglyMeasurable (fun t => L (f t) (g (x - t))) μ :=
L.aestronglyMeasurable_comp₂ hf <| hg.comp_measurable <| measurable_id.const_sub x
#align measure_theory.ae_strongly_measurable.convolution_integrand_snd' MeasureTheory.AEStronglyMeasurable.convolution_integrand_snd'
theorem AEStronglyMeasurable.convolution_integrand_swap_snd' {x : G}
(hf : AEStronglyMeasurable f <| map (fun t => x - t) μ) (hg : AEStronglyMeasurable g μ) :
AEStronglyMeasurable (fun t => L (f (x - t)) (g t)) μ :=
L.aestronglyMeasurable_comp₂ (hf.comp_measurable <| measurable_id.const_sub x) hg
#align measure_theory.ae_strongly_measurable.convolution_integrand_swap_snd' MeasureTheory.AEStronglyMeasurable.convolution_integrand_swap_snd'
/-- A sufficient condition to prove that `f ⋆[L, μ] g` exists.
We assume that `f` is integrable on a set `s` and `g` is bounded and ae strongly measurable
on `x₀ - s` (note that both properties hold if `g` is continuous with compact support). -/
theorem _root_.BddAbove.convolutionExistsAt' {x₀ : G} {s : Set G}
(hbg : BddAbove ((fun i => ‖g i‖) '' ((fun t => -t + x₀) ⁻¹' s))) (hs : MeasurableSet s)
(h2s : (support fun t => L (f t) (g (x₀ - t))) ⊆ s) (hf : IntegrableOn f s μ)
(hmg : AEStronglyMeasurable g <| map (fun t => x₀ - t) (μ.restrict s)) :
ConvolutionExistsAt f g x₀ L μ := by
rw [ConvolutionExistsAt]
rw [← integrableOn_iff_integrable_of_support_subset h2s]
set s' := (fun t => -t + x₀) ⁻¹' s
have : ∀ᵐ t : G ∂μ.restrict s,
‖L (f t) (g (x₀ - t))‖ ≤ s.indicator (fun t => ‖L‖ * ‖f t‖ * ⨆ i : s', ‖g i‖) t := by
filter_upwards
refine le_indicator (fun t ht => ?_) fun t ht => ?_
· apply_rules [L.le_of_opNorm₂_le_of_le, le_rfl]
refine (le_ciSup_set hbg <| mem_preimage.mpr ?_)
rwa [neg_sub, sub_add_cancel]
· have : t ∉ support fun t => L (f t) (g (x₀ - t)) := mt (fun h => h2s h) ht
rw [nmem_support.mp this, norm_zero]
refine Integrable.mono' ?_ ?_ this
· rw [integrable_indicator_iff hs]; exact ((hf.norm.const_mul _).mul_const _).integrableOn
· exact hf.aestronglyMeasurable.convolution_integrand_snd' L hmg
#align bdd_above.convolution_exists_at' BddAbove.convolutionExistsAt'
/-- If `‖f‖ *[μ] ‖g‖` exists, then `f *[L, μ] g` exists. -/
theorem ConvolutionExistsAt.ofNorm' {x₀ : G}
(h : ConvolutionExistsAt (fun x => ‖f x‖) (fun x => ‖g x‖) x₀ (mul ℝ ℝ) μ)
(hmf : AEStronglyMeasurable f μ) (hmg : AEStronglyMeasurable g <| map (fun t => x₀ - t) μ) :
ConvolutionExistsAt f g x₀ L μ := by
refine (h.const_mul ‖L‖).mono'
(hmf.convolution_integrand_snd' L hmg) (eventually_of_forall fun x => ?_)
rw [mul_apply', ← mul_assoc]
apply L.le_opNorm₂
#align convolution_exists_at.of_norm' MeasureTheory.ConvolutionExistsAt.ofNorm'
end
section Left
variable [MeasurableAdd₂ G] [MeasurableNeg G] [SigmaFinite μ] [IsAddRightInvariant μ]
theorem AEStronglyMeasurable.convolution_integrand_snd (hf : AEStronglyMeasurable f μ)
(hg : AEStronglyMeasurable g μ) (x : G) :
AEStronglyMeasurable (fun t => L (f t) (g (x - t))) μ :=
hf.convolution_integrand_snd' L <|
hg.mono_ac <| (quasiMeasurePreserving_sub_left_of_right_invariant μ x).absolutelyContinuous
#align measure_theory.ae_strongly_measurable.convolution_integrand_snd MeasureTheory.AEStronglyMeasurable.convolution_integrand_snd
theorem AEStronglyMeasurable.convolution_integrand_swap_snd
(hf : AEStronglyMeasurable f μ) (hg : AEStronglyMeasurable g μ) (x : G) :
AEStronglyMeasurable (fun t => L (f (x - t)) (g t)) μ :=
(hf.mono_ac
(quasiMeasurePreserving_sub_left_of_right_invariant μ
x).absolutelyContinuous).convolution_integrand_swap_snd'
L hg
#align measure_theory.ae_strongly_measurable.convolution_integrand_swap_snd MeasureTheory.AEStronglyMeasurable.convolution_integrand_swap_snd
/-- If `‖f‖ *[μ] ‖g‖` exists, then `f *[L, μ] g` exists. -/
theorem ConvolutionExistsAt.ofNorm {x₀ : G}
(h : ConvolutionExistsAt (fun x => ‖f x‖) (fun x => ‖g x‖) x₀ (mul ℝ ℝ) μ)
(hmf : AEStronglyMeasurable f μ) (hmg : AEStronglyMeasurable g μ) :
ConvolutionExistsAt f g x₀ L μ :=
h.ofNorm' L hmf <|
hmg.mono_ac (quasiMeasurePreserving_sub_left_of_right_invariant μ x₀).absolutelyContinuous
#align convolution_exists_at.of_norm MeasureTheory.ConvolutionExistsAt.ofNorm
end Left
section Right
variable [MeasurableAdd₂ G] [MeasurableNeg G] [SigmaFinite μ] [IsAddRightInvariant μ]
[SigmaFinite ν]
theorem AEStronglyMeasurable.convolution_integrand (hf : AEStronglyMeasurable f ν)
(hg : AEStronglyMeasurable g μ) :
AEStronglyMeasurable (fun p : G × G => L (f p.2) (g (p.1 - p.2))) (μ.prod ν) :=
hf.convolution_integrand' L <|
hg.mono_ac (quasiMeasurePreserving_sub_of_right_invariant μ ν).absolutelyContinuous
#align measure_theory.ae_strongly_measurable.convolution_integrand MeasureTheory.AEStronglyMeasurable.convolution_integrand
theorem Integrable.convolution_integrand (hf : Integrable f ν) (hg : Integrable g μ) :
Integrable (fun p : G × G => L (f p.2) (g (p.1 - p.2))) (μ.prod ν) := by
have h_meas : AEStronglyMeasurable (fun p : G × G => L (f p.2) (g (p.1 - p.2))) (μ.prod ν) :=
hf.aestronglyMeasurable.convolution_integrand L hg.aestronglyMeasurable
have h2_meas : AEStronglyMeasurable (fun y : G => ∫ x : G, ‖L (f y) (g (x - y))‖ ∂μ) ν :=
h_meas.prod_swap.norm.integral_prod_right'
simp_rw [integrable_prod_iff' h_meas]
refine ⟨eventually_of_forall fun t => (L (f t)).integrable_comp (hg.comp_sub_right t), ?_⟩
refine Integrable.mono' ?_ h2_meas
(eventually_of_forall fun t => (?_ : _ ≤ ‖L‖ * ‖f t‖ * ∫ x, ‖g (x - t)‖ ∂μ))
· simp only [integral_sub_right_eq_self (‖g ·‖)]
exact (hf.norm.const_mul _).mul_const _
· simp_rw [← integral_mul_left]
rw [Real.norm_of_nonneg (by positivity)]
exact integral_mono_of_nonneg (eventually_of_forall fun t => norm_nonneg _)
((hg.comp_sub_right t).norm.const_mul _) (eventually_of_forall fun t => L.le_opNorm₂ _ _)
#align measure_theory.integrable.convolution_integrand MeasureTheory.Integrable.convolution_integrand
theorem Integrable.ae_convolution_exists (hf : Integrable f ν) (hg : Integrable g μ) :
∀ᵐ x ∂μ, ConvolutionExistsAt f g x L ν :=
((integrable_prod_iff <|
hf.aestronglyMeasurable.convolution_integrand L hg.aestronglyMeasurable).mp <|
hf.convolution_integrand L hg).1
#align measure_theory.integrable.ae_convolution_exists MeasureTheory.Integrable.ae_convolution_exists
end Right
variable [TopologicalSpace G] [TopologicalAddGroup G] [BorelSpace G]
theorem _root_.HasCompactSupport.convolutionExistsAt {x₀ : G}
(h : HasCompactSupport fun t => L (f t) (g (x₀ - t))) (hf : LocallyIntegrable f μ)
(hg : Continuous g) : ConvolutionExistsAt f g x₀ L μ := by
let u := (Homeomorph.neg G).trans (Homeomorph.addRight x₀)
let v := (Homeomorph.neg G).trans (Homeomorph.addLeft x₀)
apply ((u.isCompact_preimage.mpr h).bddAbove_image hg.norm.continuousOn).convolutionExistsAt' L
isClosed_closure.measurableSet subset_closure (hf.integrableOn_isCompact h)
have A : AEStronglyMeasurable (g ∘ v)
(μ.restrict (tsupport fun t : G => L (f t) (g (x₀ - t)))) := by
apply (hg.comp v.continuous).continuousOn.aestronglyMeasurable_of_isCompact h
exact (isClosed_tsupport _).measurableSet
convert ((v.continuous.measurable.measurePreserving
(μ.restrict (tsupport fun t => L (f t) (g (x₀ - t))))).aestronglyMeasurable_comp_iff
v.measurableEmbedding).1 A
ext x
simp only [v, Homeomorph.neg, sub_eq_add_neg, val_toAddUnits_apply, Homeomorph.trans_apply,
Equiv.neg_apply, Equiv.toFun_as_coe, Homeomorph.homeomorph_mk_coe, Equiv.coe_fn_mk,
Homeomorph.coe_addLeft]
#align has_compact_support.convolution_exists_at HasCompactSupport.convolutionExistsAt
theorem _root_.HasCompactSupport.convolutionExists_right (hcg : HasCompactSupport g)
(hf : LocallyIntegrable f μ) (hg : Continuous g) : ConvolutionExists f g L μ := by
intro x₀
refine HasCompactSupport.convolutionExistsAt L ?_ hf hg
refine (hcg.comp_homeomorph (Homeomorph.subLeft x₀)).mono ?_
refine fun t => mt fun ht : g (x₀ - t) = 0 => ?_
simp_rw [ht, (L _).map_zero]
#align has_compact_support.convolution_exists_right HasCompactSupport.convolutionExists_right
theorem _root_.HasCompactSupport.convolutionExists_left_of_continuous_right
(hcf : HasCompactSupport f) (hf : LocallyIntegrable f μ) (hg : Continuous g) :
ConvolutionExists f g L μ := by
intro x₀
refine HasCompactSupport.convolutionExistsAt L ?_ hf hg
refine hcf.mono ?_
refine fun t => mt fun ht : f t = 0 => ?_
simp_rw [ht, L.map_zero₂]
#align has_compact_support.convolution_exists_left_of_continuous_right HasCompactSupport.convolutionExists_left_of_continuous_right
end Group
section CommGroup
variable [AddCommGroup G]
section MeasurableGroup
variable [MeasurableNeg G] [IsAddLeftInvariant μ]
/-- A sufficient condition to prove that `f ⋆[L, μ] g` exists.
We assume that the integrand has compact support and `g` is bounded on this support (note that
both properties hold if `g` is continuous with compact support). We also require that `f` is
integrable on the support of the integrand, and that both functions are strongly measurable.
This is a variant of `BddAbove.convolutionExistsAt'` in an abelian group with a left-invariant
measure. This allows us to state the boundedness and measurability of `g` in a more natural way. -/
theorem _root_.BddAbove.convolutionExistsAt [MeasurableAdd₂ G] [SigmaFinite μ] {x₀ : G} {s : Set G}
(hbg : BddAbove ((fun i => ‖g i‖) '' ((fun t => x₀ - t) ⁻¹' s))) (hs : MeasurableSet s)
(h2s : (support fun t => L (f t) (g (x₀ - t))) ⊆ s) (hf : IntegrableOn f s μ)
(hmg : AEStronglyMeasurable g μ) : ConvolutionExistsAt f g x₀ L μ := by
refine BddAbove.convolutionExistsAt' L ?_ hs h2s hf ?_
· simp_rw [← sub_eq_neg_add, hbg]
· have : AEStronglyMeasurable g (map (fun t : G => x₀ - t) μ) :=
hmg.mono_ac (quasiMeasurePreserving_sub_left_of_right_invariant μ x₀).absolutelyContinuous
apply this.mono_measure
exact map_mono restrict_le_self (measurable_const.sub measurable_id')
#align bdd_above.convolution_exists_at BddAbove.convolutionExistsAt
variable {L} [MeasurableAdd G] [IsNegInvariant μ]
theorem convolutionExistsAt_flip :
ConvolutionExistsAt g f x L.flip μ ↔ ConvolutionExistsAt f g x L μ := by
simp_rw [ConvolutionExistsAt, ← integrable_comp_sub_left (fun t => L (f t) (g (x - t))) x,
sub_sub_cancel, flip_apply]
#align convolution_exists_at_flip MeasureTheory.convolutionExistsAt_flip
| Mathlib/Analysis/Convolution.lean | 399 | 402 | theorem ConvolutionExistsAt.integrable_swap (h : ConvolutionExistsAt f g x L μ) :
Integrable (fun t => L (f (x - t)) (g t)) μ := by |
convert h.comp_sub_left x
simp_rw [sub_sub_self]
|
/-
Copyright (c) 2021 Yakov Pechersky. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yakov Pechersky
-/
import Mathlib.Algebra.BigOperators.Group.Finset
import Mathlib.Algebra.Group.Commute.Hom
import Mathlib.Data.Fintype.Card
#align_import data.finset.noncomm_prod from "leanprover-community/mathlib"@"509de852e1de55e1efa8eacfa11df0823f26f226"
/-!
# Products (respectively, sums) over a finset or a multiset.
The regular `Finset.prod` and `Multiset.prod` require `[CommMonoid α]`.
Often, there are collections `s : Finset α` where `[Monoid α]` and we know,
in a dependent fashion, that for all the terms `∀ (x ∈ s) (y ∈ s), Commute x y`.
This allows to still have a well-defined product over `s`.
## Main definitions
- `Finset.noncommProd`, requiring a proof of commutativity of held terms
- `Multiset.noncommProd`, requiring a proof of commutativity of held terms
## Implementation details
While `List.prod` is defined via `List.foldl`, `noncommProd` is defined via
`Multiset.foldr` for neater proofs and definitions. By the commutativity assumption,
the two must be equal.
TODO: Tidy up this file by using the fact that the submonoid generated by commuting
elements is commutative and using the `Finset.prod` versions of lemmas to prove the `noncommProd`
version.
-/
variable {F ι α β γ : Type*} (f : α → β → β) (op : α → α → α)
namespace Multiset
/-- Fold of a `s : Multiset α` with `f : α → β → β`, given a proof that `LeftCommutative f`
on all elements `x ∈ s`. -/
def noncommFoldr (s : Multiset α)
(comm : { x | x ∈ s }.Pairwise fun x y => ∀ b, f x (f y b) = f y (f x b)) (b : β) : β :=
s.attach.foldr (f ∘ Subtype.val)
(fun ⟨_, hx⟩ ⟨_, hy⟩ =>
haveI : IsRefl α fun x y => ∀ b, f x (f y b) = f y (f x b) := ⟨fun _ _ => rfl⟩
comm.of_refl hx hy)
b
#align multiset.noncomm_foldr Multiset.noncommFoldr
@[simp]
theorem noncommFoldr_coe (l : List α) (comm) (b : β) :
noncommFoldr f (l : Multiset α) comm b = l.foldr f b := by
simp only [noncommFoldr, coe_foldr, coe_attach, List.attach, List.attachWith, Function.comp]
rw [← List.foldr_map]
simp [List.map_pmap]
#align multiset.noncomm_foldr_coe Multiset.noncommFoldr_coe
@[simp]
theorem noncommFoldr_empty (h) (b : β) : noncommFoldr f (0 : Multiset α) h b = b :=
rfl
#align multiset.noncomm_foldr_empty Multiset.noncommFoldr_empty
theorem noncommFoldr_cons (s : Multiset α) (a : α) (h h') (b : β) :
noncommFoldr f (a ::ₘ s) h b = f a (noncommFoldr f s h' b) := by
induction s using Quotient.inductionOn
simp
#align multiset.noncomm_foldr_cons Multiset.noncommFoldr_cons
theorem noncommFoldr_eq_foldr (s : Multiset α) (h : LeftCommutative f) (b : β) :
noncommFoldr f s (fun x _ y _ _ => h x y) b = foldr f h b s := by
induction s using Quotient.inductionOn
simp
#align multiset.noncomm_foldr_eq_foldr Multiset.noncommFoldr_eq_foldr
section assoc
variable [assoc : Std.Associative op]
/-- Fold of a `s : Multiset α` with an associative `op : α → α → α`, given a proofs that `op`
is commutative on all elements `x ∈ s`. -/
def noncommFold (s : Multiset α) (comm : { x | x ∈ s }.Pairwise fun x y => op x y = op y x) :
α → α :=
noncommFoldr op s fun x hx y hy h b => by rw [← assoc.assoc, comm hx hy h, assoc.assoc]
#align multiset.noncomm_fold Multiset.noncommFold
@[simp]
theorem noncommFold_coe (l : List α) (comm) (a : α) :
noncommFold op (l : Multiset α) comm a = l.foldr op a := by simp [noncommFold]
#align multiset.noncomm_fold_coe Multiset.noncommFold_coe
@[simp]
theorem noncommFold_empty (h) (a : α) : noncommFold op (0 : Multiset α) h a = a :=
rfl
#align multiset.noncomm_fold_empty Multiset.noncommFold_empty
theorem noncommFold_cons (s : Multiset α) (a : α) (h h') (x : α) :
noncommFold op (a ::ₘ s) h x = op a (noncommFold op s h' x) := by
induction s using Quotient.inductionOn
simp
#align multiset.noncomm_fold_cons Multiset.noncommFold_cons
theorem noncommFold_eq_fold (s : Multiset α) [Std.Commutative op] (a : α) :
noncommFold op s (fun x _ y _ _ => Std.Commutative.comm x y) a = fold op a s := by
induction s using Quotient.inductionOn
simp
#align multiset.noncomm_fold_eq_fold Multiset.noncommFold_eq_fold
end assoc
variable [Monoid α] [Monoid β]
/-- Product of a `s : Multiset α` with `[Monoid α]`, given a proof that `*` commutes
on all elements `x ∈ s`. -/
@[to_additive
"Sum of a `s : Multiset α` with `[AddMonoid α]`, given a proof that `+` commutes
on all elements `x ∈ s`."]
def noncommProd (s : Multiset α) (comm : { x | x ∈ s }.Pairwise Commute) : α :=
s.noncommFold (· * ·) comm 1
#align multiset.noncomm_prod Multiset.noncommProd
#align multiset.noncomm_sum Multiset.noncommSum
@[to_additive (attr := simp)]
theorem noncommProd_coe (l : List α) (comm) : noncommProd (l : Multiset α) comm = l.prod := by
rw [noncommProd]
simp only [noncommFold_coe]
induction' l with hd tl hl
· simp
· rw [List.prod_cons, List.foldr, hl]
intro x hx y hy
exact comm (List.mem_cons_of_mem _ hx) (List.mem_cons_of_mem _ hy)
#align multiset.noncomm_prod_coe Multiset.noncommProd_coe
#align multiset.noncomm_sum_coe Multiset.noncommSum_coe
@[to_additive (attr := simp)]
theorem noncommProd_empty (h) : noncommProd (0 : Multiset α) h = 1 :=
rfl
#align multiset.noncomm_prod_empty Multiset.noncommProd_empty
#align multiset.noncomm_sum_empty Multiset.noncommSum_empty
@[to_additive (attr := simp)]
theorem noncommProd_cons (s : Multiset α) (a : α) (comm) :
noncommProd (a ::ₘ s) comm = a * noncommProd s (comm.mono fun _ => mem_cons_of_mem) := by
induction s using Quotient.inductionOn
simp
#align multiset.noncomm_prod_cons Multiset.noncommProd_cons
#align multiset.noncomm_sum_cons Multiset.noncommSum_cons
@[to_additive]
theorem noncommProd_cons' (s : Multiset α) (a : α) (comm) :
noncommProd (a ::ₘ s) comm = noncommProd s (comm.mono fun _ => mem_cons_of_mem) * a := by
induction' s using Quotient.inductionOn with s
simp only [quot_mk_to_coe, cons_coe, noncommProd_coe, List.prod_cons]
induction' s with hd tl IH
· simp
· rw [List.prod_cons, mul_assoc, ← IH, ← mul_assoc, ← mul_assoc]
· congr 1
apply comm.of_refl <;> simp
· intro x hx y hy
simp only [quot_mk_to_coe, List.mem_cons, mem_coe, cons_coe] at hx hy
apply comm
· cases hx <;> simp [*]
· cases hy <;> simp [*]
#align multiset.noncomm_prod_cons' Multiset.noncommProd_cons'
#align multiset.noncomm_sum_cons' Multiset.noncommSum_cons'
@[to_additive]
theorem noncommProd_add (s t : Multiset α) (comm) :
noncommProd (s + t) comm =
noncommProd s (comm.mono <| subset_of_le <| s.le_add_right t) *
noncommProd t (comm.mono <| subset_of_le <| t.le_add_left s) := by
rcases s with ⟨⟩
rcases t with ⟨⟩
simp
#align multiset.noncomm_prod_add Multiset.noncommProd_add
#align multiset.noncomm_sum_add Multiset.noncommSum_add
@[to_additive]
lemma noncommProd_induction (s : Multiset α) (comm)
(p : α → Prop) (hom : ∀ a b, p a → p b → p (a * b)) (unit : p 1) (base : ∀ x ∈ s, p x) :
p (s.noncommProd comm) := by
induction' s using Quotient.inductionOn with l
simp only [quot_mk_to_coe, noncommProd_coe, mem_coe] at base ⊢
exact l.prod_induction p hom unit base
variable [FunLike F α β]
@[to_additive]
protected theorem noncommProd_map_aux [MonoidHomClass F α β] (s : Multiset α)
(comm : { x | x ∈ s }.Pairwise Commute) (f : F) : { x | x ∈ s.map f }.Pairwise Commute := by
simp only [Multiset.mem_map]
rintro _ ⟨x, hx, rfl⟩ _ ⟨y, hy, rfl⟩ _
exact (comm.of_refl hx hy).map f
#align multiset.noncomm_prod_map_aux Multiset.noncommProd_map_aux
#align multiset.noncomm_sum_map_aux Multiset.noncommSum_map_aux
@[to_additive]
| Mathlib/Data/Finset/NoncommProd.lean | 198 | 201 | theorem noncommProd_map [MonoidHomClass F α β] (s : Multiset α) (comm) (f : F) :
f (s.noncommProd comm) = (s.map f).noncommProd (Multiset.noncommProd_map_aux s comm f) := by |
induction s using Quotient.inductionOn
simpa using map_list_prod f _
|
/-
Copyright (c) 2023 Alex Keizer. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Alex Keizer
-/
import Mathlib.Data.Vector.Basic
import Mathlib.Data.Vector.Snoc
/-!
This file establishes a set of normalization lemmas for `map`/`mapAccumr` operations on vectors
-/
set_option autoImplicit true
namespace Vector
/-!
## Fold nested `mapAccumr`s into one
-/
section Fold
section Unary
variable (xs : Vector α n) (f₁ : β → σ₁ → σ₁ × γ) (f₂ : α → σ₂ → σ₂ × β)
@[simp]
theorem mapAccumr_mapAccumr :
mapAccumr f₁ (mapAccumr f₂ xs s₂).snd s₁
= let m := (mapAccumr (fun x s =>
let r₂ := f₂ x s.snd
let r₁ := f₁ r₂.snd s.fst
((r₁.fst, r₂.fst), r₁.snd)
) xs (s₁, s₂))
(m.fst.fst, m.snd) := by
induction xs using Vector.revInductionOn generalizing s₁ s₂ <;> simp_all
@[simp]
theorem mapAccumr_map (f₂ : α → β) :
(mapAccumr f₁ (map f₂ xs) s) = (mapAccumr (fun x s => f₁ (f₂ x) s) xs s) := by
induction xs using Vector.revInductionOn generalizing s <;> simp_all
@[simp]
theorem map_mapAccumr (f₁ : β → γ) :
(map f₁ (mapAccumr f₂ xs s).snd) = (mapAccumr (fun x s =>
let r := (f₂ x s); (r.fst, f₁ r.snd)
) xs s).snd := by
induction xs using Vector.revInductionOn generalizing s <;> simp_all
@[simp]
theorem map_map (f₁ : β → γ) (f₂ : α → β) :
map f₁ (map f₂ xs) = map (fun x => f₁ <| f₂ x) xs := by
induction xs <;> simp_all
end Unary
section Binary
variable (xs : Vector α n) (ys : Vector β n)
@[simp]
theorem mapAccumr₂_mapAccumr_left (f₁ : γ → β → σ₁ → σ₁ × ζ) (f₂ : α → σ₂ → σ₂ × γ) :
(mapAccumr₂ f₁ (mapAccumr f₂ xs s₂).snd ys s₁)
= let m := (mapAccumr₂ (fun x y s =>
let r₂ := f₂ x s.snd
let r₁ := f₁ r₂.snd y s.fst
((r₁.fst, r₂.fst), r₁.snd)
) xs ys (s₁, s₂))
(m.fst.fst, m.snd) := by
induction xs, ys using Vector.revInductionOn₂ generalizing s₁ s₂ <;> simp_all
@[simp]
theorem map₂_map_left (f₁ : γ → β → ζ) (f₂ : α → γ) :
map₂ f₁ (map f₂ xs) ys = map₂ (fun x y => f₁ (f₂ x) y) xs ys := by
induction xs, ys using Vector.revInductionOn₂ <;> simp_all
@[simp]
theorem mapAccumr₂_mapAccumr_right (f₁ : α → γ → σ₁ → σ₁ × ζ) (f₂ : β → σ₂ → σ₂ × γ) :
(mapAccumr₂ f₁ xs (mapAccumr f₂ ys s₂).snd s₁)
= let m := (mapAccumr₂ (fun x y s =>
let r₂ := f₂ y s.snd
let r₁ := f₁ x r₂.snd s.fst
((r₁.fst, r₂.fst), r₁.snd)
) xs ys (s₁, s₂))
(m.fst.fst, m.snd) := by
induction xs, ys using Vector.revInductionOn₂ generalizing s₁ s₂ <;> simp_all
@[simp]
theorem map₂_map_right (f₁ : α → γ → ζ) (f₂ : β → γ) :
map₂ f₁ xs (map f₂ ys) = map₂ (fun x y => f₁ x (f₂ y)) xs ys := by
induction xs, ys using Vector.revInductionOn₂ <;> simp_all
@[simp]
| Mathlib/Data/Vector/MapLemmas.lean | 92 | 100 | theorem mapAccumr_mapAccumr₂ (f₁ : γ → σ₁ → σ₁ × ζ) (f₂ : α → β → σ₂ → σ₂ × γ) :
(mapAccumr f₁ (mapAccumr₂ f₂ xs ys s₂).snd s₁)
= let m := mapAccumr₂ (fun x y s =>
let r₂ := f₂ x y s.snd
let r₁ := f₁ r₂.snd s.fst
((r₁.fst, r₂.fst), r₁.snd)
) xs ys (s₁, s₂)
(m.fst.fst, m.snd) := by |
induction xs, ys using Vector.revInductionOn₂ generalizing s₁ s₂ <;> simp_all
|
/-
Copyright (c) 2021 Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sébastien Gouëzel
-/
import Mathlib.MeasureTheory.Covering.VitaliFamily
import Mathlib.MeasureTheory.Measure.Regular
import Mathlib.MeasureTheory.Function.AEMeasurableOrder
import Mathlib.MeasureTheory.Integral.Lebesgue
import Mathlib.MeasureTheory.Integral.Average
import Mathlib.MeasureTheory.Decomposition.Lebesgue
#align_import measure_theory.covering.differentiation from "leanprover-community/mathlib"@"57ac39bd365c2f80589a700f9fbb664d3a1a30c2"
/-!
# Differentiation of measures
On a second countable metric space with a measure `μ`, consider a Vitali family (i.e., for each `x`
one has a family of sets shrinking to `x`, with a good behavior with respect to covering theorems).
Consider also another measure `ρ`. Then, for almost every `x`, the ratio `ρ a / μ a` converges when
`a` shrinks to `x` along the Vitali family, towards the Radon-Nikodym derivative of `ρ` with
respect to `μ`. This is the main theorem on differentiation of measures.
This theorem is proved in this file, under the name `VitaliFamily.ae_tendsto_rnDeriv`. Note that,
almost surely, `μ a` is eventually positive and finite (see
`VitaliFamily.ae_eventually_measure_pos` and `VitaliFamily.eventually_measure_lt_top`), so the
ratio really makes sense.
For concrete applications, one needs concrete instances of Vitali families, as provided for instance
by `Besicovitch.vitaliFamily` (for balls) or by `Vitali.vitaliFamily` (for doubling measures).
Specific applications to Lebesgue density points and the Lebesgue differentiation theorem are also
derived:
* `VitaliFamily.ae_tendsto_measure_inter_div` states that, for almost every point `x ∈ s`,
then `μ (s ∩ a) / μ a` tends to `1` as `a` shrinks to `x` along a Vitali family.
* `VitaliFamily.ae_tendsto_average_norm_sub` states that, for almost every point `x`, then the
average of `y ↦ ‖f y - f x‖` on `a` tends to `0` as `a` shrinks to `x` along a Vitali family.
## Sketch of proof
Let `v` be a Vitali family for `μ`. Assume for simplicity that `ρ` is absolutely continuous with
respect to `μ`, as the case of a singular measure is easier.
It is easy to see that a set `s` on which `liminf ρ a / μ a < q` satisfies `ρ s ≤ q * μ s`, by using
a disjoint subcovering provided by the definition of Vitali families. Similarly for the limsup.
It follows that a set on which `ρ a / μ a` oscillates has measure `0`, and therefore that
`ρ a / μ a` converges almost surely (`VitaliFamily.ae_tendsto_div`). Moreover, on a set where the
limit is close to a constant `c`, one gets `ρ s ∼ c μ s`, using again a covering lemma as above.
It follows that `ρ` is equal to `μ.withDensity (v.limRatio ρ x)`, where `v.limRatio ρ x` is the
limit of `ρ a / μ a` at `x` (which is well defined almost everywhere). By uniqueness of the
Radon-Nikodym derivative, one gets `v.limRatio ρ x = ρ.rnDeriv μ x` almost everywhere, completing
the proof.
There is a difficulty in this sketch: this argument works well when `v.limRatio ρ` is measurable,
but there is no guarantee that this is the case, especially if one doesn't make further assumptions
on the Vitali family. We use an indirect argument to show that `v.limRatio ρ` is always
almost everywhere measurable, again based on the disjoint subcovering argument
(see `VitaliFamily.exists_measurable_supersets_limRatio`), and then proceed as sketched above
but replacing `v.limRatio ρ` by a measurable version called `v.limRatioMeas ρ`.
## Counterexample
The standing assumption in this file is that spaces are second countable. Without this assumption,
measures may be zero locally but nonzero globally, which is not compatible with differentiation
theory (which deduces global information from local one). Here is an example displaying this
behavior.
Define a measure `μ` by `μ s = 0` if `s` is covered by countably many balls of radius `1`,
and `μ s = ∞` otherwise. This is indeed a countably additive measure, which is moreover
locally finite and doubling at small scales. It vanishes on every ball of radius `1`, so all the
quantities in differentiation theory (defined as ratios of measures as the radius tends to zero)
make no sense. However, the measure is not globally zero if the space is big enough.
## References
* [Herbert Federer, Geometric Measure Theory, Chapter 2.9][Federer1996]
-/
open MeasureTheory Metric Set Filter TopologicalSpace MeasureTheory.Measure
open scoped Filter ENNReal MeasureTheory NNReal Topology
variable {α : Type*} [MetricSpace α] {m0 : MeasurableSpace α} {μ : Measure α} (v : VitaliFamily μ)
{E : Type*} [NormedAddCommGroup E]
namespace VitaliFamily
/-- The limit along a Vitali family of `ρ a / μ a` where it makes sense, and garbage otherwise.
Do *not* use this definition: it is only a temporary device to show that this ratio tends almost
everywhere to the Radon-Nikodym derivative. -/
noncomputable def limRatio (ρ : Measure α) (x : α) : ℝ≥0∞ :=
limUnder (v.filterAt x) fun a => ρ a / μ a
#align vitali_family.lim_ratio VitaliFamily.limRatio
/-- For almost every point `x`, sufficiently small sets in a Vitali family around `x` have positive
measure. (This is a nontrivial result, following from the covering property of Vitali families). -/
theorem ae_eventually_measure_pos [SecondCountableTopology α] :
∀ᵐ x ∂μ, ∀ᶠ a in v.filterAt x, 0 < μ a := by
set s := {x | ¬∀ᶠ a in v.filterAt x, 0 < μ a} with hs
simp (config := { zeta := false }) only [not_lt, not_eventually, nonpos_iff_eq_zero] at hs
change μ s = 0
let f : α → Set (Set α) := fun _ => {a | μ a = 0}
have h : v.FineSubfamilyOn f s := by
intro x hx ε εpos
rw [hs] at hx
simp only [frequently_filterAt_iff, exists_prop, gt_iff_lt, mem_setOf_eq] at hx
rcases hx ε εpos with ⟨a, a_sets, ax, μa⟩
exact ⟨a, ⟨a_sets, μa⟩, ax⟩
refine le_antisymm ?_ bot_le
calc
μ s ≤ ∑' x : h.index, μ (h.covering x) := h.measure_le_tsum
_ = ∑' x : h.index, 0 := by congr; ext1 x; exact h.covering_mem x.2
_ = 0 := by simp only [tsum_zero, add_zero]
#align vitali_family.ae_eventually_measure_pos VitaliFamily.ae_eventually_measure_pos
/-- For every point `x`, sufficiently small sets in a Vitali family around `x` have finite measure.
(This is a trivial result, following from the fact that the measure is locally finite). -/
theorem eventually_measure_lt_top [IsLocallyFiniteMeasure μ] (x : α) :
∀ᶠ a in v.filterAt x, μ a < ∞ :=
(μ.finiteAt_nhds x).eventually.filter_mono inf_le_left
#align vitali_family.eventually_measure_lt_top VitaliFamily.eventually_measure_lt_top
/-- If two measures `ρ` and `ν` have, at every point of a set `s`, arbitrarily small sets in a
Vitali family satisfying `ρ a ≤ ν a`, then `ρ s ≤ ν s` if `ρ ≪ μ`. -/
theorem measure_le_of_frequently_le [SecondCountableTopology α] [BorelSpace α] {ρ : Measure α}
(ν : Measure α) [IsLocallyFiniteMeasure ν] (hρ : ρ ≪ μ) (s : Set α)
(hs : ∀ x ∈ s, ∃ᶠ a in v.filterAt x, ρ a ≤ ν a) : ρ s ≤ ν s := by
-- this follows from a covering argument using the sets satisfying `ρ a ≤ ν a`.
apply ENNReal.le_of_forall_pos_le_add fun ε εpos _ => ?_
obtain ⟨U, sU, U_open, νU⟩ : ∃ (U : Set α), s ⊆ U ∧ IsOpen U ∧ ν U ≤ ν s + ε :=
exists_isOpen_le_add s ν (ENNReal.coe_pos.2 εpos).ne'
let f : α → Set (Set α) := fun _ => {a | ρ a ≤ ν a ∧ a ⊆ U}
have h : v.FineSubfamilyOn f s := by
apply v.fineSubfamilyOn_of_frequently f s fun x hx => ?_
have :=
(hs x hx).and_eventually
((v.eventually_filterAt_mem_setsAt x).and
(v.eventually_filterAt_subset_of_nhds (U_open.mem_nhds (sU hx))))
apply Frequently.mono this
rintro a ⟨ρa, _, aU⟩
exact ⟨ρa, aU⟩
haveI : Encodable h.index := h.index_countable.toEncodable
calc
ρ s ≤ ∑' x : h.index, ρ (h.covering x) := h.measure_le_tsum_of_absolutelyContinuous hρ
_ ≤ ∑' x : h.index, ν (h.covering x) := ENNReal.tsum_le_tsum fun x => (h.covering_mem x.2).1
_ = ν (⋃ x : h.index, h.covering x) := by
rw [measure_iUnion h.covering_disjoint_subtype fun i => h.measurableSet_u i.2]
_ ≤ ν U := (measure_mono (iUnion_subset fun i => (h.covering_mem i.2).2))
_ ≤ ν s + ε := νU
#align vitali_family.measure_le_of_frequently_le VitaliFamily.measure_le_of_frequently_le
section
variable [SecondCountableTopology α] [BorelSpace α] [IsLocallyFiniteMeasure μ] {ρ : Measure α}
[IsLocallyFiniteMeasure ρ]
/-- If a measure `ρ` is singular with respect to `μ`, then for `μ` almost every `x`, the ratio
`ρ a / μ a` tends to zero when `a` shrinks to `x` along the Vitali family. This makes sense
as `μ a` is eventually positive by `ae_eventually_measure_pos`. -/
theorem ae_eventually_measure_zero_of_singular (hρ : ρ ⟂ₘ μ) :
∀ᵐ x ∂μ, Tendsto (fun a => ρ a / μ a) (v.filterAt x) (𝓝 0) := by
have A : ∀ ε > (0 : ℝ≥0), ∀ᵐ x ∂μ, ∀ᶠ a in v.filterAt x, ρ a < ε * μ a := by
intro ε εpos
set s := {x | ¬∀ᶠ a in v.filterAt x, ρ a < ε * μ a} with hs
change μ s = 0
obtain ⟨o, _, ρo, μo⟩ : ∃ o : Set α, MeasurableSet o ∧ ρ o = 0 ∧ μ oᶜ = 0 := hρ
apply le_antisymm _ bot_le
calc
μ s ≤ μ (s ∩ o ∪ oᶜ) := by
conv_lhs => rw [← inter_union_compl s o]
gcongr
apply inter_subset_right
_ ≤ μ (s ∩ o) + μ oᶜ := measure_union_le _ _
_ = μ (s ∩ o) := by rw [μo, add_zero]
_ = (ε : ℝ≥0∞)⁻¹ * (ε • μ) (s ∩ o) := by
simp only [coe_nnreal_smul_apply, ← mul_assoc, mul_comm _ (ε : ℝ≥0∞)]
rw [ENNReal.mul_inv_cancel (ENNReal.coe_pos.2 εpos).ne' ENNReal.coe_ne_top, one_mul]
_ ≤ (ε : ℝ≥0∞)⁻¹ * ρ (s ∩ o) := by
gcongr
refine v.measure_le_of_frequently_le ρ ((Measure.AbsolutelyContinuous.refl μ).smul ε) _ ?_
intro x hx
rw [hs] at hx
simp only [mem_inter_iff, not_lt, not_eventually, mem_setOf_eq] at hx
exact hx.1
_ ≤ (ε : ℝ≥0∞)⁻¹ * ρ o := by gcongr; apply inter_subset_right
_ = 0 := by rw [ρo, mul_zero]
obtain ⟨u, _, u_pos, u_lim⟩ :
∃ u : ℕ → ℝ≥0, StrictAnti u ∧ (∀ n : ℕ, 0 < u n) ∧ Tendsto u atTop (𝓝 0) :=
exists_seq_strictAnti_tendsto (0 : ℝ≥0)
have B : ∀ᵐ x ∂μ, ∀ n, ∀ᶠ a in v.filterAt x, ρ a < u n * μ a :=
ae_all_iff.2 fun n => A (u n) (u_pos n)
filter_upwards [B, v.ae_eventually_measure_pos]
intro x hx h'x
refine tendsto_order.2 ⟨fun z hz => (ENNReal.not_lt_zero hz).elim, fun z hz => ?_⟩
obtain ⟨w, w_pos, w_lt⟩ : ∃ w : ℝ≥0, (0 : ℝ≥0∞) < w ∧ (w : ℝ≥0∞) < z :=
ENNReal.lt_iff_exists_nnreal_btwn.1 hz
obtain ⟨n, hn⟩ : ∃ n, u n < w := ((tendsto_order.1 u_lim).2 w (ENNReal.coe_pos.1 w_pos)).exists
filter_upwards [hx n, h'x, v.eventually_measure_lt_top x]
intro a ha μa_pos μa_lt_top
rw [ENNReal.div_lt_iff (Or.inl μa_pos.ne') (Or.inl μa_lt_top.ne)]
exact ha.trans_le (mul_le_mul_right' ((ENNReal.coe_le_coe.2 hn.le).trans w_lt.le) _)
#align vitali_family.ae_eventually_measure_zero_of_singular VitaliFamily.ae_eventually_measure_zero_of_singular
section AbsolutelyContinuous
variable (hρ : ρ ≪ μ)
/-- A set of points `s` satisfying both `ρ a ≤ c * μ a` and `ρ a ≥ d * μ a` at arbitrarily small
sets in a Vitali family has measure `0` if `c < d`. Indeed, the first inequality should imply
that `ρ s ≤ c * μ s`, and the second one that `ρ s ≥ d * μ s`, a contradiction if `0 < μ s`. -/
theorem null_of_frequently_le_of_frequently_ge {c d : ℝ≥0} (hcd : c < d) (s : Set α)
(hc : ∀ x ∈ s, ∃ᶠ a in v.filterAt x, ρ a ≤ c * μ a)
(hd : ∀ x ∈ s, ∃ᶠ a in v.filterAt x, (d : ℝ≥0∞) * μ a ≤ ρ a) : μ s = 0 := by
apply measure_null_of_locally_null s fun x _ => ?_
obtain ⟨o, xo, o_open, μo⟩ : ∃ o : Set α, x ∈ o ∧ IsOpen o ∧ μ o < ∞ :=
Measure.exists_isOpen_measure_lt_top μ x
refine ⟨s ∩ o, inter_mem_nhdsWithin _ (o_open.mem_nhds xo), ?_⟩
let s' := s ∩ o
by_contra h
apply lt_irrefl (ρ s')
calc
ρ s' ≤ c * μ s' := v.measure_le_of_frequently_le (c • μ) hρ s' fun x hx => hc x hx.1
_ < d * μ s' := by
apply (ENNReal.mul_lt_mul_right h _).2 (ENNReal.coe_lt_coe.2 hcd)
exact (lt_of_le_of_lt (measure_mono inter_subset_right) μo).ne
_ ≤ ρ s' :=
v.measure_le_of_frequently_le ρ ((Measure.AbsolutelyContinuous.refl μ).smul d) s' fun x hx =>
hd x hx.1
#align vitali_family.null_of_frequently_le_of_frequently_ge VitaliFamily.null_of_frequently_le_of_frequently_ge
/-- If `ρ` is absolutely continuous with respect to `μ`, then for almost every `x`,
the ratio `ρ a / μ a` converges as `a` shrinks to `x` along a Vitali family for `μ`. -/
theorem ae_tendsto_div : ∀ᵐ x ∂μ, ∃ c, Tendsto (fun a => ρ a / μ a) (v.filterAt x) (𝓝 c) := by
obtain ⟨w, w_count, w_dense, _, w_top⟩ :
∃ w : Set ℝ≥0∞, w.Countable ∧ Dense w ∧ 0 ∉ w ∧ ∞ ∉ w :=
ENNReal.exists_countable_dense_no_zero_top
have I : ∀ x ∈ w, x ≠ ∞ := fun x xs hx => w_top (hx ▸ xs)
have A : ∀ c ∈ w, ∀ d ∈ w, c < d → ∀ᵐ x ∂μ,
¬((∃ᶠ a in v.filterAt x, ρ a / μ a < c) ∧ ∃ᶠ a in v.filterAt x, d < ρ a / μ a) := by
intro c hc d hd hcd
lift c to ℝ≥0 using I c hc
lift d to ℝ≥0 using I d hd
apply v.null_of_frequently_le_of_frequently_ge hρ (ENNReal.coe_lt_coe.1 hcd)
· simp only [and_imp, exists_prop, not_frequently, not_and, not_lt, not_le, not_eventually,
mem_setOf_eq, mem_compl_iff, not_forall]
intro x h1x _
apply h1x.mono fun a ha => ?_
refine (ENNReal.div_le_iff_le_mul ?_ (Or.inr (bot_le.trans_lt ha).ne')).1 ha.le
simp only [ENNReal.coe_ne_top, Ne, or_true_iff, not_false_iff]
· simp only [and_imp, exists_prop, not_frequently, not_and, not_lt, not_le, not_eventually,
mem_setOf_eq, mem_compl_iff, not_forall]
intro x _ h2x
apply h2x.mono fun a ha => ?_
exact ENNReal.mul_le_of_le_div ha.le
have B : ∀ᵐ x ∂μ, ∀ c ∈ w, ∀ d ∈ w, c < d →
¬((∃ᶠ a in v.filterAt x, ρ a / μ a < c) ∧ ∃ᶠ a in v.filterAt x, d < ρ a / μ a) := by
#adaptation_note /-- 2024-04-23
The next two lines were previously just `simpa only [ae_ball_iff w_count, ae_all_iff]` -/
rw [ae_ball_iff w_count]; intro x hx; rw [ae_ball_iff w_count]; revert x
simpa only [ae_all_iff]
filter_upwards [B]
intro x hx
exact tendsto_of_no_upcrossings w_dense hx
#align vitali_family.ae_tendsto_div VitaliFamily.ae_tendsto_div
theorem ae_tendsto_limRatio :
∀ᵐ x ∂μ, Tendsto (fun a => ρ a / μ a) (v.filterAt x) (𝓝 (v.limRatio ρ x)) := by
filter_upwards [v.ae_tendsto_div hρ]
intro x hx
exact tendsto_nhds_limUnder hx
#align vitali_family.ae_tendsto_lim_ratio VitaliFamily.ae_tendsto_limRatio
/-- Given two thresholds `p < q`, the sets `{x | v.limRatio ρ x < p}`
and `{x | q < v.limRatio ρ x}` are obviously disjoint. The key to proving that `v.limRatio ρ` is
almost everywhere measurable is to show that these sets have measurable supersets which are also
disjoint, up to zero measure. This is the content of this lemma. -/
theorem exists_measurable_supersets_limRatio {p q : ℝ≥0} (hpq : p < q) :
∃ a b, MeasurableSet a ∧ MeasurableSet b ∧
{x | v.limRatio ρ x < p} ⊆ a ∧ {x | (q : ℝ≥0∞) < v.limRatio ρ x} ⊆ b ∧ μ (a ∩ b) = 0 := by
/- Here is a rough sketch, assuming that the measure is finite and the limit is well defined
everywhere. Let `u := {x | v.limRatio ρ x < p}` and `w := {x | q < v.limRatio ρ x}`. They
have measurable supersets `u'` and `w'` of the same measure. We will show that these satisfy
the conclusion of the theorem, i.e., `μ (u' ∩ w') = 0`. For this, note that
`ρ (u' ∩ w') = ρ (u ∩ w')` (as `w'` is measurable, see `measure_toMeasurable_add_inter_left`).
The latter set is included in the set where the limit of the ratios is `< p`, and therefore
its measure is `≤ p * μ (u ∩ w')`. Using the same trick in the other direction gives that this
is `p * μ (u' ∩ w')`. We have shown that `ρ (u' ∩ w') ≤ p * μ (u' ∩ w')`. Arguing in the same
way but using the `w` part gives `q * μ (u' ∩ w') ≤ ρ (u' ∩ w')`. If `μ (u' ∩ w')` were nonzero,
this would be a contradiction as `p < q`.
For the rigorous proof, we need to work on a part of the space where the measure is finite
(provided by `spanningSets (ρ + μ)`) and to restrict to the set where the limit is well defined
(called `s` below, of full measure). Otherwise, the argument goes through.
-/
let s := {x | ∃ c, Tendsto (fun a => ρ a / μ a) (v.filterAt x) (𝓝 c)}
let o : ℕ → Set α := spanningSets (ρ + μ)
let u n := s ∩ {x | v.limRatio ρ x < p} ∩ o n
let w n := s ∩ {x | (q : ℝ≥0∞) < v.limRatio ρ x} ∩ o n
-- the supersets are obtained by restricting to the set `s` where the limit is well defined, to
-- a finite measure part `o n`, taking a measurable superset here, and then taking the union over
-- `n`.
refine
⟨toMeasurable μ sᶜ ∪ ⋃ n, toMeasurable (ρ + μ) (u n),
toMeasurable μ sᶜ ∪ ⋃ n, toMeasurable (ρ + μ) (w n), ?_, ?_, ?_, ?_, ?_⟩
-- check that these sets are measurable supersets as required
· exact
(measurableSet_toMeasurable _ _).union
(MeasurableSet.iUnion fun n => measurableSet_toMeasurable _ _)
· exact
(measurableSet_toMeasurable _ _).union
(MeasurableSet.iUnion fun n => measurableSet_toMeasurable _ _)
· intro x hx
by_cases h : x ∈ s
· refine Or.inr (mem_iUnion.2 ⟨spanningSetsIndex (ρ + μ) x, ?_⟩)
exact subset_toMeasurable _ _ ⟨⟨h, hx⟩, mem_spanningSetsIndex _ _⟩
· exact Or.inl (subset_toMeasurable μ sᶜ h)
· intro x hx
by_cases h : x ∈ s
· refine Or.inr (mem_iUnion.2 ⟨spanningSetsIndex (ρ + μ) x, ?_⟩)
exact subset_toMeasurable _ _ ⟨⟨h, hx⟩, mem_spanningSetsIndex _ _⟩
· exact Or.inl (subset_toMeasurable μ sᶜ h)
-- it remains to check the nontrivial part that these sets have zero measure intersection.
-- it suffices to do it for fixed `m` and `n`, as one is taking countable unions.
suffices H : ∀ m n : ℕ, μ (toMeasurable (ρ + μ) (u m) ∩ toMeasurable (ρ + μ) (w n)) = 0 by
have A :
(toMeasurable μ sᶜ ∪ ⋃ n, toMeasurable (ρ + μ) (u n)) ∩
(toMeasurable μ sᶜ ∪ ⋃ n, toMeasurable (ρ + μ) (w n)) ⊆
toMeasurable μ sᶜ ∪
⋃ (m) (n), toMeasurable (ρ + μ) (u m) ∩ toMeasurable (ρ + μ) (w n) := by
simp only [inter_union_distrib_left, union_inter_distrib_right, true_and_iff,
subset_union_left, union_subset_iff, inter_self]
refine ⟨?_, ?_, ?_⟩
· exact inter_subset_right.trans subset_union_left
· exact inter_subset_left.trans subset_union_left
· simp_rw [iUnion_inter, inter_iUnion]; exact subset_union_right
refine le_antisymm ((measure_mono A).trans ?_) bot_le
calc
μ (toMeasurable μ sᶜ ∪
⋃ (m) (n), toMeasurable (ρ + μ) (u m) ∩ toMeasurable (ρ + μ) (w n)) ≤
μ (toMeasurable μ sᶜ) +
μ (⋃ (m) (n), toMeasurable (ρ + μ) (u m) ∩ toMeasurable (ρ + μ) (w n)) :=
measure_union_le _ _
_ = μ (⋃ (m) (n), toMeasurable (ρ + μ) (u m) ∩ toMeasurable (ρ + μ) (w n)) := by
have : μ sᶜ = 0 := v.ae_tendsto_div hρ; rw [measure_toMeasurable, this, zero_add]
_ ≤ ∑' (m) (n), μ (toMeasurable (ρ + μ) (u m) ∩ toMeasurable (ρ + μ) (w n)) :=
((measure_iUnion_le _).trans (ENNReal.tsum_le_tsum fun m => measure_iUnion_le _))
_ = 0 := by simp only [H, tsum_zero]
-- now starts the nontrivial part of the argument. We fix `m` and `n`, and show that the
-- measurable supersets of `u m` and `w n` have zero measure intersection by using the lemmas
-- `measure_toMeasurable_add_inter_left` (to reduce to `u m` or `w n` instead of the measurable
-- superset) and `measure_le_of_frequently_le` to compare their measures for `ρ` and `μ`.
intro m n
have I : (ρ + μ) (u m) ≠ ∞ := by
apply (lt_of_le_of_lt (measure_mono _) (measure_spanningSets_lt_top (ρ + μ) m)).ne
exact inter_subset_right
have J : (ρ + μ) (w n) ≠ ∞ := by
apply (lt_of_le_of_lt (measure_mono _) (measure_spanningSets_lt_top (ρ + μ) n)).ne
exact inter_subset_right
have A :
ρ (toMeasurable (ρ + μ) (u m) ∩ toMeasurable (ρ + μ) (w n)) ≤
p * μ (toMeasurable (ρ + μ) (u m) ∩ toMeasurable (ρ + μ) (w n)) :=
calc
ρ (toMeasurable (ρ + μ) (u m) ∩ toMeasurable (ρ + μ) (w n)) =
ρ (u m ∩ toMeasurable (ρ + μ) (w n)) :=
measure_toMeasurable_add_inter_left (measurableSet_toMeasurable _ _) I
_ ≤ (p • μ) (u m ∩ toMeasurable (ρ + μ) (w n)) := by
refine v.measure_le_of_frequently_le (p • μ) hρ _ fun x hx => ?_
have L : Tendsto (fun a : Set α => ρ a / μ a) (v.filterAt x) (𝓝 (v.limRatio ρ x)) :=
tendsto_nhds_limUnder hx.1.1.1
have I : ∀ᶠ b : Set α in v.filterAt x, ρ b / μ b < p := (tendsto_order.1 L).2 _ hx.1.1.2
apply I.frequently.mono fun a ha => ?_
rw [coe_nnreal_smul_apply]
refine (ENNReal.div_le_iff_le_mul ?_ (Or.inr (bot_le.trans_lt ha).ne')).1 ha.le
simp only [ENNReal.coe_ne_top, Ne, or_true_iff, not_false_iff]
_ = p * μ (toMeasurable (ρ + μ) (u m) ∩ toMeasurable (ρ + μ) (w n)) := by
simp only [coe_nnreal_smul_apply,
measure_toMeasurable_add_inter_right (measurableSet_toMeasurable _ _) I]
have B :
(q : ℝ≥0∞) * μ (toMeasurable (ρ + μ) (u m) ∩ toMeasurable (ρ + μ) (w n)) ≤
ρ (toMeasurable (ρ + μ) (u m) ∩ toMeasurable (ρ + μ) (w n)) :=
calc
(q : ℝ≥0∞) * μ (toMeasurable (ρ + μ) (u m) ∩ toMeasurable (ρ + μ) (w n)) =
(q : ℝ≥0∞) * μ (toMeasurable (ρ + μ) (u m) ∩ w n) := by
conv_rhs => rw [inter_comm]
rw [inter_comm, measure_toMeasurable_add_inter_right (measurableSet_toMeasurable _ _) J]
_ ≤ ρ (toMeasurable (ρ + μ) (u m) ∩ w n) := by
rw [← coe_nnreal_smul_apply]
refine v.measure_le_of_frequently_le _ (AbsolutelyContinuous.rfl.smul _) _ ?_
intro x hx
have L : Tendsto (fun a : Set α => ρ a / μ a) (v.filterAt x) (𝓝 (v.limRatio ρ x)) :=
tendsto_nhds_limUnder hx.2.1.1
have I : ∀ᶠ b : Set α in v.filterAt x, (q : ℝ≥0∞) < ρ b / μ b :=
(tendsto_order.1 L).1 _ hx.2.1.2
apply I.frequently.mono fun a ha => ?_
rw [coe_nnreal_smul_apply]
exact ENNReal.mul_le_of_le_div ha.le
_ = ρ (toMeasurable (ρ + μ) (u m) ∩ toMeasurable (ρ + μ) (w n)) := by
conv_rhs => rw [inter_comm]
rw [inter_comm]
exact (measure_toMeasurable_add_inter_left (measurableSet_toMeasurable _ _) J).symm
by_contra h
apply lt_irrefl (ρ (toMeasurable (ρ + μ) (u m) ∩ toMeasurable (ρ + μ) (w n)))
calc
ρ (toMeasurable (ρ + μ) (u m) ∩ toMeasurable (ρ + μ) (w n)) ≤
p * μ (toMeasurable (ρ + μ) (u m) ∩ toMeasurable (ρ + μ) (w n)) :=
A
_ < q * μ (toMeasurable (ρ + μ) (u m) ∩ toMeasurable (ρ + μ) (w n)) := by
gcongr
suffices H : (ρ + μ) (toMeasurable (ρ + μ) (u m) ∩ toMeasurable (ρ + μ) (w n)) ≠ ∞ by
simp only [not_or, ENNReal.add_eq_top, Pi.add_apply, Ne, coe_add] at H
exact H.2
apply (lt_of_le_of_lt (measure_mono inter_subset_left) _).ne
rw [measure_toMeasurable]
apply lt_of_le_of_lt (measure_mono _) (measure_spanningSets_lt_top (ρ + μ) m)
exact inter_subset_right
_ ≤ ρ (toMeasurable (ρ + μ) (u m) ∩ toMeasurable (ρ + μ) (w n)) := B
#align vitali_family.exists_measurable_supersets_lim_ratio VitaliFamily.exists_measurable_supersets_limRatio
theorem aemeasurable_limRatio : AEMeasurable (v.limRatio ρ) μ := by
apply ENNReal.aemeasurable_of_exist_almost_disjoint_supersets _ _ fun p q hpq => ?_
exact v.exists_measurable_supersets_limRatio hρ hpq
#align vitali_family.ae_measurable_lim_ratio VitaliFamily.aemeasurable_limRatio
/-- A measurable version of `v.limRatio ρ`. Do *not* use this definition: it is only a temporary
device to show that `v.limRatio` is almost everywhere equal to the Radon-Nikodym derivative. -/
noncomputable def limRatioMeas : α → ℝ≥0∞ :=
(v.aemeasurable_limRatio hρ).mk _
#align vitali_family.lim_ratio_meas VitaliFamily.limRatioMeas
theorem limRatioMeas_measurable : Measurable (v.limRatioMeas hρ) :=
AEMeasurable.measurable_mk _
#align vitali_family.lim_ratio_meas_measurable VitaliFamily.limRatioMeas_measurable
theorem ae_tendsto_limRatioMeas :
∀ᵐ x ∂μ, Tendsto (fun a => ρ a / μ a) (v.filterAt x) (𝓝 (v.limRatioMeas hρ x)) := by
filter_upwards [v.ae_tendsto_limRatio hρ, AEMeasurable.ae_eq_mk (v.aemeasurable_limRatio hρ)]
intro x hx h'x
rwa [h'x] at hx
#align vitali_family.ae_tendsto_lim_ratio_meas VitaliFamily.ae_tendsto_limRatioMeas
/-- If, for all `x` in a set `s`, one has frequently `ρ a / μ a < p`, then `ρ s ≤ p * μ s`, as
proved in `measure_le_of_frequently_le`. Since `ρ a / μ a` tends almost everywhere to
`v.limRatioMeas hρ x`, the same property holds for sets `s` on which `v.limRatioMeas hρ < p`. -/
theorem measure_le_mul_of_subset_limRatioMeas_lt {p : ℝ≥0} {s : Set α}
(h : s ⊆ {x | v.limRatioMeas hρ x < p}) : ρ s ≤ p * μ s := by
let t := {x : α | Tendsto (fun a => ρ a / μ a) (v.filterAt x) (𝓝 (v.limRatioMeas hρ x))}
have A : μ tᶜ = 0 := v.ae_tendsto_limRatioMeas hρ
suffices H : ρ (s ∩ t) ≤ (p • μ) (s ∩ t) by calc
ρ s = ρ (s ∩ t ∪ s ∩ tᶜ) := by rw [inter_union_compl]
_ ≤ ρ (s ∩ t) + ρ (s ∩ tᶜ) := measure_union_le _ _
_ ≤ (p • μ) (s ∩ t) + ρ tᶜ := by gcongr; apply inter_subset_right
_ ≤ p * μ (s ∩ t) := by simp [(hρ A)]
_ ≤ p * μ s := by gcongr; apply inter_subset_left
refine v.measure_le_of_frequently_le (p • μ) hρ _ fun x hx => ?_
have I : ∀ᶠ b : Set α in v.filterAt x, ρ b / μ b < p := (tendsto_order.1 hx.2).2 _ (h hx.1)
apply I.frequently.mono fun a ha => ?_
rw [coe_nnreal_smul_apply]
refine (ENNReal.div_le_iff_le_mul ?_ (Or.inr (bot_le.trans_lt ha).ne')).1 ha.le
simp only [ENNReal.coe_ne_top, Ne, or_true_iff, not_false_iff]
#align vitali_family.measure_le_mul_of_subset_lim_ratio_meas_lt VitaliFamily.measure_le_mul_of_subset_limRatioMeas_lt
/-- If, for all `x` in a set `s`, one has frequently `q < ρ a / μ a`, then `q * μ s ≤ ρ s`, as
proved in `measure_le_of_frequently_le`. Since `ρ a / μ a` tends almost everywhere to
`v.limRatioMeas hρ x`, the same property holds for sets `s` on which `q < v.limRatioMeas hρ`. -/
theorem mul_measure_le_of_subset_lt_limRatioMeas {q : ℝ≥0} {s : Set α}
(h : s ⊆ {x | (q : ℝ≥0∞) < v.limRatioMeas hρ x}) : (q : ℝ≥0∞) * μ s ≤ ρ s := by
let t := {x : α | Tendsto (fun a => ρ a / μ a) (v.filterAt x) (𝓝 (v.limRatioMeas hρ x))}
have A : μ tᶜ = 0 := v.ae_tendsto_limRatioMeas hρ
suffices H : (q • μ) (s ∩ t) ≤ ρ (s ∩ t) by calc
(q • μ) s = (q • μ) (s ∩ t ∪ s ∩ tᶜ) := by rw [inter_union_compl]
_ ≤ (q • μ) (s ∩ t) + (q • μ) (s ∩ tᶜ) := measure_union_le _ _
_ ≤ ρ (s ∩ t) + (q • μ) tᶜ := by gcongr; apply inter_subset_right
_ = ρ (s ∩ t) := by simp [A]
_ ≤ ρ s := by gcongr; apply inter_subset_left
refine v.measure_le_of_frequently_le _ (AbsolutelyContinuous.rfl.smul _) _ ?_
intro x hx
have I : ∀ᶠ a in v.filterAt x, (q : ℝ≥0∞) < ρ a / μ a := (tendsto_order.1 hx.2).1 _ (h hx.1)
apply I.frequently.mono fun a ha => ?_
rw [coe_nnreal_smul_apply]
exact ENNReal.mul_le_of_le_div ha.le
#align vitali_family.mul_measure_le_of_subset_lt_lim_ratio_meas VitaliFamily.mul_measure_le_of_subset_lt_limRatioMeas
/-- The points with `v.limRatioMeas hρ x = ∞` have measure `0` for `μ`. -/
| Mathlib/MeasureTheory/Covering/Differentiation.lean | 484 | 505 | theorem measure_limRatioMeas_top : μ {x | v.limRatioMeas hρ x = ∞} = 0 := by |
refine measure_null_of_locally_null _ fun x _ => ?_
obtain ⟨o, xo, o_open, μo⟩ : ∃ o : Set α, x ∈ o ∧ IsOpen o ∧ ρ o < ∞ :=
Measure.exists_isOpen_measure_lt_top ρ x
let s := {x : α | v.limRatioMeas hρ x = ∞} ∩ o
refine ⟨s, inter_mem_nhdsWithin _ (o_open.mem_nhds xo), le_antisymm ?_ bot_le⟩
have ρs : ρ s ≠ ∞ := ((measure_mono inter_subset_right).trans_lt μo).ne
have A : ∀ q : ℝ≥0, 1 ≤ q → μ s ≤ (q : ℝ≥0∞)⁻¹ * ρ s := by
intro q hq
rw [mul_comm, ← div_eq_mul_inv, ENNReal.le_div_iff_mul_le _ (Or.inr ρs), mul_comm]
· apply v.mul_measure_le_of_subset_lt_limRatioMeas hρ
intro y hy
have : v.limRatioMeas hρ y = ∞ := hy.1
simp only [this, ENNReal.coe_lt_top, mem_setOf_eq]
· simp only [(zero_lt_one.trans_le hq).ne', true_or_iff, ENNReal.coe_eq_zero, Ne,
not_false_iff]
have B : Tendsto (fun q : ℝ≥0 => (q : ℝ≥0∞)⁻¹ * ρ s) atTop (𝓝 (∞⁻¹ * ρ s)) := by
apply ENNReal.Tendsto.mul_const _ (Or.inr ρs)
exact ENNReal.tendsto_inv_iff.2 (ENNReal.tendsto_coe_nhds_top.2 tendsto_id)
simp only [zero_mul, ENNReal.inv_top] at B
apply ge_of_tendsto B
exact eventually_atTop.2 ⟨1, A⟩
|
/-
Copyright (c) 2024 David Loeffler. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: David Loeffler
-/
import Mathlib.NumberTheory.ZetaValues
import Mathlib.NumberTheory.LSeries.RiemannZeta
/-!
# Special values of Hurwitz and Riemann zeta functions
This file gives the formula for `ζ (2 * k)`, for `k` a non-zero integer, in terms of Bernoulli
numbers. More generally, we give formulae for any Hurwitz zeta functions at any (strictly) negative
integer in terms of Bernoulli polynomials.
(Note that most of the actual work for these formulae is done elsewhere, in
`Mathlib.NumberTheory.ZetaValues`. This file has only those results which really need the
definition of Hurwitz zeta and related functions, rather than working directly with the defining
sums in the convergence range.)
## Main results
- `hurwitzZeta_neg_nat`: for `k : ℕ` with `k ≠ 0`, and any `x ∈ ℝ / ℤ`, the special value
`hurwitzZeta x (-k)` is equal to `-(Polynomial.bernoulli (k + 1) x) / (k + 1)`.
- `riemannZeta_neg_nat_eq_bernoulli` : for any `k ∈ ℕ` we have the formula
`riemannZeta (-k) = (-1) ^ k * bernoulli (k + 1) / (k + 1)`
- `riemannZeta_two_mul_nat`: formula for `ζ(2 * k)` for `k ∈ ℕ, k ≠ 0` in terms of Bernoulli
numbers
## TODO
* Extend to cover Dirichlet L-functions.
* The formulae are correct for `s = 0` as well, but we do not prove this case, since this requires
Fourier series which are only conditionally convergent, which is difficult to approach using the
methods in the library at the present time (May 2024).
-/
open Complex Real Set
open scoped Nat
namespace HurwitzZeta
variable {k : ℕ} {x : ℝ}
/-- Express the value of `cosZeta` at a positive even integer as a value
of the Bernoulli polynomial. -/
theorem cosZeta_two_mul_nat (hk : k ≠ 0) (hx : x ∈ Icc 0 1) :
cosZeta x (2 * k) = (-1) ^ (k + 1) * (2 * π) ^ (2 * k) / 2 / (2 * k)! *
((Polynomial.bernoulli (2 * k)).map (algebraMap ℚ ℂ)).eval (x : ℂ) := by
rw [← (hasSum_nat_cosZeta x (?_ : 1 < re (2 * k))).tsum_eq]
refine Eq.trans ?_ <| (congr_arg ofReal' (hasSum_one_div_nat_pow_mul_cos hk hx).tsum_eq).trans ?_
· rw [ofReal_tsum]
refine tsum_congr fun n ↦ ?_
rw [mul_comm (1 / _), mul_one_div, ofReal_div, mul_assoc (2 * π), mul_comm x n, ← mul_assoc,
← Nat.cast_ofNat (R := ℂ), ← Nat.cast_mul, cpow_natCast, ofReal_pow, ofReal_natCast]
· simp only [ofReal_mul, ofReal_div, ofReal_pow, ofReal_natCast, ofReal_ofNat,
ofReal_neg, ofReal_one]
congr 1
have : (Polynomial.bernoulli (2 * k)).map (algebraMap ℚ ℂ) = _ :=
(Polynomial.map_map (algebraMap ℚ ℝ) ofReal _).symm
rw [this, ← ofReal_eq_coe, ← ofReal_eq_coe]
apply Polynomial.map_aeval_eq_aeval_map
simp only [Algebra.id.map_eq_id, RingHomCompTriple.comp_eq]
· rw [← Nat.cast_ofNat, ← Nat.cast_one, ← Nat.cast_mul, natCast_re, Nat.cast_lt]
omega
/--
Express the value of `sinZeta` at an odd integer `> 1` as a value of the Bernoulli polynomial.
Note that this formula is also correct for `k = 0` (i.e. for the value at `s = 1`), but we do not
prove it in this case, owing to the additional difficulty of working with series that are only
conditionally convergent.
-/
theorem sinZeta_two_mul_nat_add_one (hk : k ≠ 0) (hx : x ∈ Icc 0 1) :
sinZeta x (2 * k + 1) = (-1) ^ (k + 1) * (2 * π) ^ (2 * k + 1) / 2 / (2 * k + 1)! *
((Polynomial.bernoulli (2 * k + 1)).map (algebraMap ℚ ℂ)).eval (x : ℂ) := by
rw [← (hasSum_nat_sinZeta x (?_ : 1 < re (2 * k + 1))).tsum_eq]
refine Eq.trans ?_ <| (congr_arg ofReal' (hasSum_one_div_nat_pow_mul_sin hk hx).tsum_eq).trans ?_
· rw [ofReal_tsum]
refine tsum_congr fun n ↦ ?_
rw [mul_comm (1 / _), mul_one_div, ofReal_div, mul_assoc (2 * π), mul_comm x n, ← mul_assoc]
congr 1
rw [← Nat.cast_ofNat, ← Nat.cast_mul, ← Nat.cast_add_one, cpow_natCast, ofReal_pow,
ofReal_natCast]
· simp only [ofReal_mul, ofReal_div, ofReal_pow, ofReal_natCast, ofReal_ofNat,
ofReal_neg, ofReal_one]
congr 1
have : (Polynomial.bernoulli (2 * k + 1)).map (algebraMap ℚ ℂ) = _ :=
(Polynomial.map_map (algebraMap ℚ ℝ) ofReal _).symm
rw [this, ← ofReal_eq_coe, ← ofReal_eq_coe]
apply Polynomial.map_aeval_eq_aeval_map
simp only [Algebra.id.map_eq_id, RingHomCompTriple.comp_eq]
· rw [← Nat.cast_ofNat, ← Nat.cast_one, ← Nat.cast_mul, ← Nat.cast_add_one, natCast_re,
Nat.cast_lt, lt_add_iff_pos_left]
exact mul_pos two_pos (Nat.pos_of_ne_zero hk)
/-- Reformulation of `cosZeta_two_mul_nat` using `Gammaℂ`. -/
| Mathlib/NumberTheory/LSeries/HurwitzZetaValues.lean | 100 | 110 | theorem cosZeta_two_mul_nat' (hk : k ≠ 0) (hx : x ∈ Icc (0 : ℝ) 1) :
cosZeta x (2 * k) = (-1) ^ (k + 1) / (2 * k) / Gammaℂ (2 * k) *
((Polynomial.bernoulli (2 * k)).map (algebraMap ℚ ℂ)).eval (x : ℂ) := by |
rw [cosZeta_two_mul_nat hk hx]
congr 1
have : (2 * k)! = (2 * k) * Complex.Gamma (2 * k) := by
rw [(by { norm_cast; omega } : 2 * (k : ℂ) = ↑(2 * k - 1) + 1), Complex.Gamma_nat_eq_factorial,
← Nat.cast_add_one, ← Nat.cast_mul, ← Nat.factorial_succ, Nat.sub_add_cancel (by omega)]
simp_rw [this, Gammaℂ, cpow_neg, ← div_div, div_inv_eq_mul, div_mul_eq_mul_div, div_div,
mul_right_comm (2 : ℂ) (k : ℂ)]
norm_cast
|
/-
Copyright (c) 2021 Floris van Doorn. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Floris van Doorn
-/
import Mathlib.Algebra.Group.Basic
import Mathlib.Algebra.Order.Monoid.Unbundled.Basic
import Mathlib.Order.Lattice
#align_import algebra.order.sub.defs from "leanprover-community/mathlib"@"de29c328903507bb7aff506af9135f4bdaf1849c"
/-!
# Ordered Subtraction
This file proves lemmas relating (truncated) subtraction with an order. We provide a class
`OrderedSub` stating that `a - b ≤ c ↔ a ≤ c + b`.
The subtraction discussed here could both be normal subtraction in an additive group or truncated
subtraction on a canonically ordered monoid (`ℕ`, `Multiset`, `PartENat`, `ENNReal`, ...)
## Implementation details
`OrderedSub` is a mixin type-class, so that we can use the results in this file even in cases
where we don't have a `CanonicallyOrderedAddCommMonoid` instance
(even though that is our main focus). Conversely, this means we can use
`CanonicallyOrderedAddCommMonoid` without necessarily having to define a subtraction.
The results in this file are ordered by the type-class assumption needed to prove it.
This means that similar results might not be close to each other. Furthermore, we don't prove
implications if a bi-implication can be proven under the same assumptions.
Lemmas using this class are named using `tsub` instead of `sub` (short for "truncated subtraction").
This is to avoid naming conflicts with similar lemmas about ordered groups.
We provide a second version of most results that require `[ContravariantClass α α (+) (≤)]`. In the
second version we replace this type-class assumption by explicit `AddLECancellable` assumptions.
TODO: maybe we should make a multiplicative version of this, so that we can replace some identical
lemmas about subtraction/division in `Ordered[Add]CommGroup` with these.
TODO: generalize `Nat.le_of_le_of_sub_le_sub_right`, `Nat.sub_le_sub_right_iff`,
`Nat.mul_self_sub_mul_self_eq`
-/
variable {α β : Type*}
/-- `OrderedSub α` means that `α` has a subtraction characterized by `a - b ≤ c ↔ a ≤ c + b`.
In other words, `a - b` is the least `c` such that `a ≤ b + c`.
This is satisfied both by the subtraction in additive ordered groups and by truncated subtraction
in canonically ordered monoids on many specific types.
-/
class OrderedSub (α : Type*) [LE α] [Add α] [Sub α] : Prop where
/-- `a - b` provides a lower bound on `c` such that `a ≤ c + b`. -/
tsub_le_iff_right : ∀ a b c : α, a - b ≤ c ↔ a ≤ c + b
#align has_ordered_sub OrderedSub
section Add
@[simp]
theorem tsub_le_iff_right [LE α] [Add α] [Sub α] [OrderedSub α] {a b c : α} :
a - b ≤ c ↔ a ≤ c + b :=
OrderedSub.tsub_le_iff_right a b c
#align tsub_le_iff_right tsub_le_iff_right
variable [Preorder α] [Add α] [Sub α] [OrderedSub α] {a b c d : α}
/-- See `add_tsub_cancel_right` for the equality if `ContravariantClass α α (+) (≤)`. -/
theorem add_tsub_le_right : a + b - b ≤ a :=
tsub_le_iff_right.mpr le_rfl
#align add_tsub_le_right add_tsub_le_right
theorem le_tsub_add : b ≤ b - a + a :=
tsub_le_iff_right.mp le_rfl
#align le_tsub_add le_tsub_add
end Add
/-! ### Preorder -/
section OrderedAddCommSemigroup
section Preorder
variable [Preorder α]
section AddCommSemigroup
variable [AddCommSemigroup α] [Sub α] [OrderedSub α] {a b c d : α}
/- TODO: Most results can be generalized to [Add α] [IsSymmOp α α (· + ·)] -/
theorem tsub_le_iff_left : a - b ≤ c ↔ a ≤ b + c := by rw [tsub_le_iff_right, add_comm]
#align tsub_le_iff_left tsub_le_iff_left
theorem le_add_tsub : a ≤ b + (a - b) :=
tsub_le_iff_left.mp le_rfl
#align le_add_tsub le_add_tsub
/-- See `add_tsub_cancel_left` for the equality if `ContravariantClass α α (+) (≤)`. -/
theorem add_tsub_le_left : a + b - a ≤ b :=
tsub_le_iff_left.mpr le_rfl
#align add_tsub_le_left add_tsub_le_left
@[gcongr] theorem tsub_le_tsub_right (h : a ≤ b) (c : α) : a - c ≤ b - c :=
tsub_le_iff_left.mpr <| h.trans le_add_tsub
#align tsub_le_tsub_right tsub_le_tsub_right
theorem tsub_le_iff_tsub_le : a - b ≤ c ↔ a - c ≤ b := by rw [tsub_le_iff_left, tsub_le_iff_right]
#align tsub_le_iff_tsub_le tsub_le_iff_tsub_le
/-- See `tsub_tsub_cancel_of_le` for the equality. -/
theorem tsub_tsub_le : b - (b - a) ≤ a :=
tsub_le_iff_right.mpr le_add_tsub
#align tsub_tsub_le tsub_tsub_le
section Cov
variable [CovariantClass α α (· + ·) (· ≤ ·)]
@[gcongr] theorem tsub_le_tsub_left (h : a ≤ b) (c : α) : c - b ≤ c - a :=
tsub_le_iff_left.mpr <| le_add_tsub.trans <| add_le_add_right h _
#align tsub_le_tsub_left tsub_le_tsub_left
@[gcongr] theorem tsub_le_tsub (hab : a ≤ b) (hcd : c ≤ d) : a - d ≤ b - c :=
(tsub_le_tsub_right hab _).trans <| tsub_le_tsub_left hcd _
#align tsub_le_tsub tsub_le_tsub
theorem antitone_const_tsub : Antitone fun x => c - x := fun _ _ hxy => tsub_le_tsub rfl.le hxy
#align antitone_const_tsub antitone_const_tsub
/-- See `add_tsub_assoc_of_le` for the equality. -/
theorem add_tsub_le_assoc : a + b - c ≤ a + (b - c) := by
rw [tsub_le_iff_left, add_left_comm]
exact add_le_add_left le_add_tsub a
#align add_tsub_le_assoc add_tsub_le_assoc
/-- See `tsub_add_eq_add_tsub` for the equality. -/
theorem add_tsub_le_tsub_add : a + b - c ≤ a - c + b := by
rw [add_comm, add_comm _ b]
exact add_tsub_le_assoc
#align add_tsub_le_tsub_add add_tsub_le_tsub_add
| Mathlib/Algebra/Order/Sub/Defs.lean | 145 | 147 | theorem add_le_add_add_tsub : a + b ≤ a + c + (b - c) := by |
rw [add_assoc]
exact add_le_add_left le_add_tsub a
|
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