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/-
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.Unbundled.WithTop
import Mathlib.Algebra.Order.Monoid.Canonical.Defs
/-! # Adjoining top/bottom elements to ordered monoids.
-/
universe u
variable {α : Type u}
open Function
namespace WithTop
instance isOrderedAddMonoid [AddCommMonoid α] [PartialOrder α] [IsOrderedAddMonoid α] :
IsOrderedAddMonoid (WithTop α) where
add_le_add_left _ _ := add_le_add_left
instance canonicallyOrderedAdd [Add α] [Preorder α] [CanonicallyOrderedAdd α] :
CanonicallyOrderedAdd (WithTop α) :=
{ WithTop.existsAddOfLE with
le_self_add := fun a b =>
match a, b with
| ⊤, ⊤ => le_rfl
| (a : α), ⊤ => le_top
| (a : α), (b : α) => WithTop.coe_le_coe.2 le_self_add
| ⊤, (b : α) => le_rfl }
end WithTop
namespace WithBot
instance isOrderedAddMonoid [AddCommMonoid α] [PartialOrder α] [IsOrderedAddMonoid α] :
IsOrderedAddMonoid (WithBot α) :=
{ add_le_add_left := fun _ _ h c => add_le_add_left h c }
protected theorem le_self_add [Add α] [LE α] [CanonicallyOrderedAdd α]
{x : WithBot α} (hx : x ≠ ⊥) (y : WithBot α) :
y ≤ y + x := by
induction x
· simp at hx
induction y
· simp
· rw [← WithBot.coe_add, WithBot.coe_le_coe]
exact le_self_add
protected theorem le_add_self [AddCommMagma α] [LE α] [CanonicallyOrderedAdd α]
{x : WithBot α} (hx : x ≠ ⊥) (y : WithBot α) :
y ≤ x + y := by
induction x
· simp at hx
induction y
· simp
· rw [← WithBot.coe_add, WithBot.coe_le_coe]
exact le_add_self
end WithBot
| Mathlib/Algebra/Order/Monoid/WithTop.lean | 175 | 181 | |
/-
Copyright (c) 2020 Eric Wieser. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Eric Wieser
-/
import Mathlib.Algebra.Module.Defs
import Mathlib.Data.SetLike.Basic
import Mathlib.Data.Setoid.Basic
import Mathlib.GroupTheory.GroupAction.Defs
import Mathlib.GroupTheory.GroupAction.Hom
/-!
# Sets invariant to a `MulAction`
In this file we define `SubMulAction R M`; a subset of a `MulAction R M` which is closed with
respect to scalar multiplication.
For most uses, typically `Submodule R M` is more powerful.
## Main definitions
* `SubMulAction.mulAction` - the `MulAction R M` transferred to the subtype.
* `SubMulAction.mulAction'` - the `MulAction S M` transferred to the subtype when
`IsScalarTower S R M`.
* `SubMulAction.isScalarTower` - the `IsScalarTower S R M` transferred to the subtype.
* `SubMulAction.inclusion` — the inclusion of a submulaction, as an equivariant map
## Tags
submodule, mul_action
-/
open Function
universe u u' u'' v
variable {S : Type u'} {T : Type u''} {R : Type u} {M : Type v}
/-- `SMulMemClass S R M` says `S` is a type of subsets `s ≤ M` that are closed under the
scalar action of `R` on `M`.
Note that only `R` is marked as an `outParam` here, since `M` is supplied by the `SetLike`
class instead.
-/
class SMulMemClass (S : Type*) (R : outParam Type*) (M : Type*) [SMul R M] [SetLike S M] :
Prop where
/-- Multiplication by a scalar on an element of the set remains in the set. -/
smul_mem : ∀ {s : S} (r : R) {m : M}, m ∈ s → r • m ∈ s
/-- `VAddMemClass S R M` says `S` is a type of subsets `s ≤ M` that are closed under the
additive action of `R` on `M`.
Note that only `R` is marked as an `outParam` here, since `M` is supplied by the `SetLike`
class instead. -/
class VAddMemClass (S : Type*) (R : outParam Type*) (M : Type*) [VAdd R M] [SetLike S M] :
Prop where
/-- Addition by a scalar with an element of the set remains in the set. -/
vadd_mem : ∀ {s : S} (r : R) {m : M}, m ∈ s → r +ᵥ m ∈ s
attribute [to_additive] SMulMemClass
attribute [aesop safe 10 apply (rule_sets := [SetLike])] SMulMemClass.smul_mem VAddMemClass.vadd_mem
/-- Not registered as an instance because `R` is an `outParam` in `SMulMemClass S R M`. -/
lemma AddSubmonoidClass.nsmulMemClass {S M : Type*} [AddMonoid M] [SetLike S M]
[AddSubmonoidClass S M] : SMulMemClass S ℕ M where
smul_mem n _x hx := nsmul_mem hx n
/-- Not registered as an instance because `R` is an `outParam` in `SMulMemClass S R M`. -/
lemma AddSubgroupClass.zsmulMemClass {S M : Type*} [SubNegMonoid M] [SetLike S M]
[AddSubgroupClass S M] : SMulMemClass S ℤ M where
smul_mem n _x hx := zsmul_mem hx n
namespace SetLike
open SMulMemClass
section SMul
variable [SMul R M] [SetLike S M] [hS : SMulMemClass S R M] (s : S)
-- lower priority so other instances are found first
/-- A subset closed under the scalar action inherits that action. -/
@[to_additive "A subset closed under the additive action inherits that action."]
instance (priority := 50) smul : SMul R s :=
⟨fun r x => ⟨r • x.1, smul_mem r x.2⟩⟩
/-- This can't be an instance because Lean wouldn't know how to find `N`, but we can still use
this to manually derive `SMulMemClass` on specific types. -/
@[to_additive] theorem _root_.SMulMemClass.ofIsScalarTower (S M N α : Type*) [SetLike S α]
[SMul M N] [SMul M α] [Monoid N] [MulAction N α] [SMulMemClass S N α] [IsScalarTower M N α] :
SMulMemClass S M α :=
{ smul_mem := fun m a ha => smul_one_smul N m a ▸ SMulMemClass.smul_mem _ ha }
instance instIsScalarTower [Mul M] [MulMemClass S M] [IsScalarTower R M M]
(s : S) : IsScalarTower R s s where
smul_assoc r x y := Subtype.ext <| smul_assoc r (x : M) (y : M)
instance instSMulCommClass [Mul M] [MulMemClass S M] [SMulCommClass R M M]
(s : S) : SMulCommClass R s s where
smul_comm r x y := Subtype.ext <| smul_comm r (x : M) (y : M)
-- Porting note (https://github.com/leanprover-community/mathlib4/issues/11215): TODO lower priority not actually there
-- lower priority so later simp lemmas are used first; to appease simp_nf
@[to_additive (attr := simp, norm_cast)]
protected theorem val_smul (r : R) (x : s) : (↑(r • x) : M) = r • (x : M) :=
rfl
-- Porting note (https://github.com/leanprover-community/mathlib4/issues/11215): TODO lower priority not actually there
-- lower priority so later simp lemmas are used first; to appease simp_nf
@[to_additive (attr := simp)]
theorem mk_smul_mk (r : R) (x : M) (hx : x ∈ s) : r • (⟨x, hx⟩ : s) = ⟨r • x, smul_mem r hx⟩ :=
rfl
@[to_additive]
theorem smul_def (r : R) (x : s) : r • x = ⟨r • x, smul_mem r x.2⟩ :=
rfl
@[simp]
theorem forall_smul_mem_iff {R M S : Type*} [Monoid R] [MulAction R M] [SetLike S M]
[SMulMemClass S R M] {N : S} {x : M} : (∀ a : R, a • x ∈ N) ↔ x ∈ N :=
⟨fun h => by simpa using h 1, fun h a => SMulMemClass.smul_mem a h⟩
end SMul
section OfTower
variable {N α : Type*} [SetLike S α] [SMul M N] [SMul M α] [Monoid N]
[MulAction N α] [SMulMemClass S N α] [IsScalarTower M N α] (s : S)
-- lower priority so other instances are found first
/-- A subset closed under the scalar action inherits that action. -/
@[to_additive "A subset closed under the additive action inherits that action."]
instance (priority := 50) smul' : SMul M s where
smul r x := ⟨r • x.1, smul_one_smul N r x.1 ▸ smul_mem _ x.2⟩
instance (priority := 50) : IsScalarTower M N s where
smul_assoc m n x := Subtype.ext (smul_assoc m n x.1)
@[to_additive (attr := simp, norm_cast)]
protected theorem val_smul_of_tower (r : M) (x : s) : (↑(r • x) : α) = r • (x : α) :=
rfl
@[to_additive (attr := simp)]
theorem mk_smul_of_tower_mk (r : M) (x : α) (hx : x ∈ s) :
r • (⟨x, hx⟩ : s) = ⟨r • x, smul_one_smul N r x ▸ smul_mem _ hx⟩ :=
rfl
@[to_additive]
theorem smul_of_tower_def (r : M) (x : s) :
r • x = ⟨r • x, smul_one_smul N r x.1 ▸ smul_mem _ x.2⟩ :=
rfl
end OfTower
end SetLike
/-- A SubAddAction is a set which is closed under scalar multiplication. -/
structure SubAddAction (R : Type u) (M : Type v) [VAdd R M] : Type v where
/-- The underlying set of a `SubAddAction`. -/
carrier : Set M
/-- The carrier set is closed under scalar multiplication. -/
vadd_mem' : ∀ (c : R) {x : M}, x ∈ carrier → c +ᵥ x ∈ carrier
/-- A SubMulAction is a set which is closed under scalar multiplication. -/
@[to_additive]
structure SubMulAction (R : Type u) (M : Type v) [SMul R M] : Type v where
/-- The underlying set of a `SubMulAction`. -/
carrier : Set M
/-- The carrier set is closed under scalar multiplication. -/
smul_mem' : ∀ (c : R) {x : M}, x ∈ carrier → c • x ∈ carrier
namespace SubMulAction
variable [SMul R M]
@[to_additive]
instance : SetLike (SubMulAction R M) M :=
⟨SubMulAction.carrier, fun p q h => by cases p; cases q; congr⟩
@[to_additive]
instance : SMulMemClass (SubMulAction R M) R M where smul_mem := smul_mem' _
@[to_additive (attr := simp)]
theorem mem_carrier {p : SubMulAction R M} {x : M} : x ∈ p.carrier ↔ x ∈ (p : Set M) :=
Iff.rfl
@[to_additive (attr := ext)]
theorem ext {p q : SubMulAction R M} (h : ∀ x, x ∈ p ↔ x ∈ q) : p = q :=
SetLike.ext h
/-- Copy of a sub_mul_action with a new `carrier` equal to the old one. Useful to fix definitional
equalities. -/
@[to_additive "Copy of a sub_mul_action with a new `carrier` equal to the old one.
Useful to fix definitional equalities."]
protected def copy (p : SubMulAction R M) (s : Set M) (hs : s = ↑p) : SubMulAction R M where
carrier := s
smul_mem' := hs.symm ▸ p.smul_mem'
@[to_additive (attr := simp)]
theorem coe_copy (p : SubMulAction R M) (s : Set M) (hs : s = ↑p) : (p.copy s hs : Set M) = s :=
rfl
@[to_additive]
theorem copy_eq (p : SubMulAction R M) (s : Set M) (hs : s = ↑p) : p.copy s hs = p :=
SetLike.coe_injective hs
@[to_additive]
instance : Bot (SubMulAction R M) where
bot :=
{ carrier := ∅
smul_mem' := fun _c h => Set.not_mem_empty h }
@[to_additive]
instance : Inhabited (SubMulAction R M) :=
⟨⊥⟩
end SubMulAction
namespace SubMulAction
section SMul
variable [SMul R M]
variable (p : SubMulAction R M)
variable {r : R} {x : M}
@[to_additive]
theorem smul_mem (r : R) (h : x ∈ p) : r • x ∈ p :=
p.smul_mem' r h
@[to_additive]
instance : SMul R p where smul c x := ⟨c • x.1, smul_mem _ c x.2⟩
variable {p} in
@[to_additive (attr := norm_cast, simp)]
theorem val_smul (r : R) (x : p) : (↑(r • x) : M) = r • (x : M) :=
rfl
-- Porting note: no longer needed because of defeq structure eta
/-- Embedding of a submodule `p` to the ambient space `M`. -/
@[to_additive "Embedding of a submodule `p` to the ambient space `M`."]
protected def subtype : p →[R] M where
toFun := Subtype.val
map_smul' := by simp [val_smul]
variable {p} in
@[to_additive (attr := simp)]
theorem subtype_apply (x : p) : p.subtype x = x :=
rfl
lemma subtype_injective :
Function.Injective p.subtype :=
Subtype.coe_injective
@[to_additive]
theorem subtype_eq_val : (SubMulAction.subtype p : p → M) = Subtype.val :=
rfl
end SMul
namespace SMulMemClass
variable [Monoid R] [MulAction R M] {A : Type*} [SetLike A M]
variable [hA : SMulMemClass A R M] (S' : A)
-- Prefer subclasses of `MulAction` over `SMulMemClass`.
/-- A `SubMulAction` of a `MulAction` is a `MulAction`. -/
@[to_additive "A `SubAddAction` of an `AddAction` is an `AddAction`."]
instance (priority := 75) toMulAction : MulAction R S' :=
Subtype.coe_injective.mulAction Subtype.val (SetLike.val_smul S')
/-- The natural `MulActionHom` over `R` from a `SubMulAction` of `M` to `M`. -/
@[to_additive "The natural `AddActionHom` over `R` from a `SubAddAction` of `M` to `M`."]
protected def subtype : S' →[R] M where
toFun := Subtype.val; map_smul' _ _ := rfl
variable {S'} in
@[simp]
lemma subtype_apply (x : S') :
SMulMemClass.subtype S' x = x := rfl
lemma subtype_injective :
Function.Injective (SMulMemClass.subtype S') :=
Subtype.coe_injective
@[to_additive (attr := simp)]
protected theorem coe_subtype : (SMulMemClass.subtype S' : S' → M) = Subtype.val :=
rfl
@[deprecated (since := "2025-02-18")]
protected alias coeSubtype := SubMulAction.SMulMemClass.coe_subtype
@[deprecated (since := "2025-02-18")]
protected alias _root_.SubAddAction.SMulMemClass.coeSubtype := SubAddAction.SMulMemClass.coe_subtype
end SMulMemClass
section MulActionMonoid
variable [Monoid R] [MulAction R M]
section
variable [SMul S R] [SMul S M] [IsScalarTower S R M]
variable (p : SubMulAction R M)
@[to_additive]
theorem smul_of_tower_mem (s : S) {x : M} (h : x ∈ p) : s • x ∈ p := by
rw [← one_smul R x, ← smul_assoc]
exact p.smul_mem _ h
@[to_additive]
instance smul' : SMul S p where smul c x := ⟨c • x.1, smul_of_tower_mem _ c x.2⟩
@[to_additive]
instance isScalarTower : IsScalarTower S R p where
smul_assoc s r x := Subtype.ext <| smul_assoc s r (x : M)
@[to_additive]
instance isScalarTower' {S' : Type*} [SMul S' R] [SMul S' S] [SMul S' M] [IsScalarTower S' R M]
[IsScalarTower S' S M] : IsScalarTower S' S p where
smul_assoc s r x := Subtype.ext <| smul_assoc s r (x : M)
@[to_additive (attr := norm_cast, simp)]
theorem val_smul_of_tower (s : S) (x : p) : ((s • x : p) : M) = s • (x : M) :=
rfl
@[to_additive (attr := simp)]
theorem smul_mem_iff' {G} [Group G] [SMul G R] [MulAction G M] [IsScalarTower G R M] (g : G)
{x : M} : g • x ∈ p ↔ x ∈ p :=
⟨fun h => inv_smul_smul g x ▸ p.smul_of_tower_mem g⁻¹ h, p.smul_of_tower_mem g⟩
@[to_additive]
instance isCentralScalar [SMul Sᵐᵒᵖ R] [SMul Sᵐᵒᵖ M] [IsScalarTower Sᵐᵒᵖ R M]
[IsCentralScalar S M] :
IsCentralScalar S p where
op_smul_eq_smul r x := Subtype.ext <| op_smul_eq_smul r (x : M)
end
section
variable [Monoid S] [SMul S R] [MulAction S M] [IsScalarTower S R M]
variable (p : SubMulAction R M)
/-- If the scalar product forms a `MulAction`, then the subset inherits this action -/
@[to_additive]
instance mulAction' : MulAction S p where
smul := (· • ·)
one_smul x := Subtype.ext <| one_smul _ (x : M)
mul_smul c₁ c₂ x := Subtype.ext <| mul_smul c₁ c₂ (x : M)
@[to_additive]
instance mulAction : MulAction R p :=
p.mulAction'
end
/-- Orbits in a `SubMulAction` coincide with orbits in the ambient space. -/
@[to_additive]
theorem val_image_orbit {p : SubMulAction R M} (m : p) :
Subtype.val '' MulAction.orbit R m = MulAction.orbit R (m : M) :=
(Set.range_comp _ _).symm
/- -- Previously, the relatively useless :
lemma orbit_of_sub_mul {p : SubMulAction R M} (m : p) :
(mul_action.orbit R m : set M) = MulAction.orbit R (m : M) := rfl
-/
@[to_additive]
theorem val_preimage_orbit {p : SubMulAction R M} (m : p) :
Subtype.val ⁻¹' MulAction.orbit R (m : M) = MulAction.orbit R m := by
rw [← val_image_orbit, Subtype.val_injective.preimage_image]
@[to_additive]
lemma mem_orbit_subMul_iff {p : SubMulAction R M} {x m : p} :
x ∈ MulAction.orbit R m ↔ (x : M) ∈ MulAction.orbit R (m : M) := by
rw [← val_preimage_orbit, Set.mem_preimage]
/-- Stabilizers in monoid SubMulAction coincide with stabilizers in the ambient space -/
@[to_additive]
theorem stabilizer_of_subMul.submonoid {p : SubMulAction R M} (m : p) :
MulAction.stabilizerSubmonoid R m = MulAction.stabilizerSubmonoid R (m : M) := by
ext
simp only [MulAction.mem_stabilizerSubmonoid_iff, ← SubMulAction.val_smul, SetLike.coe_eq_coe]
|
end MulActionMonoid
section MulActionGroup
| Mathlib/GroupTheory/GroupAction/SubMulAction.lean | 389 | 392 |
/-
Copyright (c) 2021 Patrick Massot. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Patrick Massot
-/
import Mathlib.Analysis.Normed.Group.Hom
import Mathlib.Analysis.SpecificLimits.Normed
/-! # Extending a backward bound on a normed group homomorphism from a dense set
Possible TODO (from the PR's review, https://github.com/leanprover-community/mathlib/pull/8498):
"This feels a lot like the second step in the proof of the Banach open mapping theorem
(`exists_preimage_norm_le`) ... wonder if it would be possible to refactor it using one of [the
lemmas in this file]."
-/
open Filter Finset
open Topology
variable {G : Type*} [NormedAddCommGroup G] [CompleteSpace G]
variable {H : Type*} [NormedAddCommGroup H]
/-- Given `f : NormedAddGroupHom G H` for some complete `G` and a subgroup `K` of `H`, if every
element `x` of `K` has a preimage under `f` whose norm is at most `C*‖x‖` then the same holds for
elements of the (topological) closure of `K` with constant `C+ε` instead of `C`, for any
positive `ε`.
-/
theorem controlled_closure_of_complete {f : NormedAddGroupHom G H} {K : AddSubgroup H} {C ε : ℝ}
(hC : 0 < C) (hε : 0 < ε) (hyp : f.SurjectiveOnWith K C) :
f.SurjectiveOnWith K.topologicalClosure (C + ε) := by
rintro (h : H) (h_in : h ∈ K.topologicalClosure)
-- We first get rid of the easy case where `h = 0`.
by_cases hyp_h : h = 0
· rw [hyp_h]
use 0
simp
/- The desired preimage will be constructed as the sum of a series. Convergence of
the series will be guaranteed by completeness of `G`. We first write `h` as the sum
of a sequence `v` of elements of `K` which starts close to `h` and then quickly goes to zero.
The sequence `b` below quantifies this. -/
set b : ℕ → ℝ := fun i => (1 / 2) ^ i * (ε * ‖h‖ / 2) / C
have b_pos (i) : 0 < b i := by field_simp [b, hC, hyp_h]
obtain
⟨v : ℕ → H, lim_v : Tendsto (fun n : ℕ => ∑ k ∈ range (n + 1), v k) atTop (𝓝 h), v_in :
∀ n, v n ∈ K, hv₀ : ‖v 0 - h‖ < b 0, hv : ∀ n > 0, ‖v n‖ < b n⟩ :=
controlled_sum_of_mem_closure h_in b_pos
/- The controlled surjectivity assumption on `f` allows to build preimages `u n` for all
elements `v n` of the `v` sequence. -/
have : ∀ n, ∃ m' : G, f m' = v n ∧ ‖m'‖ ≤ C * ‖v n‖ := fun n : ℕ => hyp (v n) (v_in n)
choose u hu hnorm_u using this
/- The desired series `s` is then obtained by summing `u`. We then check our choice of
`b` ensures `s` is Cauchy. -/
set s : ℕ → G := fun n => ∑ k ∈ range (n + 1), u k
have : CauchySeq s := by
apply NormedAddCommGroup.cauchy_series_of_le_geometric'' (by norm_num) one_half_lt_one
· rintro n (hn : n ≥ 1)
calc
‖u n‖ ≤ C * ‖v n‖ := hnorm_u n
_ ≤ C * b n := by gcongr; exact (hv _ <| Nat.succ_le_iff.mp hn).le
_ = (1 / 2) ^ n * (ε * ‖h‖ / 2) := by simp [b, mul_div_cancel₀ _ hC.ne.symm]
_ = ε * ‖h‖ / 2 * (1 / 2) ^ n := mul_comm _ _
-- We now show that the limit `g` of `s` is the desired preimage.
obtain ⟨g : G, hg⟩ := cauchySeq_tendsto_of_complete this
refine ⟨g, ?_, ?_⟩
· -- We indeed get a preimage. First note:
have : f ∘ s = fun n => ∑ k ∈ range (n + 1), v k := by
ext n
simp [s, map_sum, hu]
/- In the above equality, the left-hand-side converges to `f g` by continuity of `f` and
definition of `g` while the right-hand-side converges to `h` by construction of `v` so
`g` is indeed a preimage of `h`. -/
rw [← this] at lim_v
exact tendsto_nhds_unique ((f.continuous.tendsto g).comp hg) lim_v
· -- Then we need to estimate the norm of `g`, using our careful choice of `b`.
suffices ∀ n, ‖s n‖ ≤ (C + ε) * ‖h‖ from
le_of_tendsto' (continuous_norm.continuousAt.tendsto.comp hg) this
intro n
have hnorm₀ : ‖u 0‖ ≤ C * b 0 + C * ‖h‖ := by
have :=
calc
‖v 0‖ ≤ ‖h‖ + ‖v 0 - h‖ := norm_le_insert' _ _
_ ≤ ‖h‖ + b 0 := by gcongr
calc
‖u 0‖ ≤ C * ‖v 0‖ := hnorm_u 0
_ ≤ C * (‖h‖ + b 0) := by gcongr
_ = C * b 0 + C * ‖h‖ := by rw [add_comm, mul_add]
have : (∑ k ∈ range (n + 1), C * b k) ≤ ε * ‖h‖ :=
calc (∑ k ∈ range (n + 1), C * b k)
_ = (∑ k ∈ range (n + 1), (1 / 2 : ℝ) ^ k) * (ε * ‖h‖ / 2) := by
simp only [b, mul_div_cancel₀ _ hC.ne.symm, ← sum_mul]
_ ≤ 2 * (ε * ‖h‖ / 2) := by gcongr; apply sum_geometric_two_le
_ = ε * ‖h‖ := mul_div_cancel₀ _ two_ne_zero
calc
‖s n‖ ≤ ∑ k ∈ range (n + 1), ‖u k‖ := norm_sum_le _ _
_ = (∑ k ∈ range n, ‖u (k + 1)‖) + ‖u 0‖ := sum_range_succ' _ _
_ ≤ (∑ k ∈ range n, C * ‖v (k + 1)‖) + ‖u 0‖ := by gcongr; apply hnorm_u
_ ≤ (∑ k ∈ range n, C * b (k + 1)) + (C * b 0 + C * ‖h‖) := by
gcongr with k; exact (hv _ k.succ_pos).le
_ = (∑ k ∈ range (n + 1), C * b k) + C * ‖h‖ := by rw [← add_assoc, sum_range_succ']
_ ≤ (C + ε) * ‖h‖ := by
rw [add_comm, add_mul]
apply add_le_add_left this
/-- Given `f : NormedAddGroupHom G H` for some complete `G`, if every element `x` of the image of
an isometric immersion `j : NormedAddGroupHom K H` has a preimage under `f` whose norm is at most
`C*‖x‖` then the same holds for elements of the (topological) closure of this image with constant
`C+ε` instead of `C`, for any positive `ε`.
This is useful in particular if `j` is the inclusion of a normed group into its completion
(in this case the closure is the full target group).
-/
theorem controlled_closure_range_of_complete {f : NormedAddGroupHom G H} {K : Type*}
[SeminormedAddCommGroup K] {j : NormedAddGroupHom K H} (hj : ∀ x, ‖j x‖ = ‖x‖) {C ε : ℝ}
(hC : 0 < C) (hε : 0 < ε) (hyp : ∀ k, ∃ g, f g = j k ∧ ‖g‖ ≤ C * ‖k‖) :
| f.SurjectiveOnWith j.range.topologicalClosure (C + ε) := by
replace hyp : ∀ h ∈ j.range, ∃ g, f g = h ∧ ‖g‖ ≤ C * ‖h‖ := by
intro h h_in
rcases (j.mem_range _).mp h_in with ⟨k, rfl⟩
rw [hj]
exact hyp k
exact controlled_closure_of_complete hC hε hyp
| Mathlib/Analysis/Normed/Group/ControlledClosure.lean | 116 | 125 |
/-
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
/-!
# 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 Topology TopologicalSpace Set Metric Filter Function
attribute [local simp] pow_le_pow_iff_right₀ one_lt_two inv_le_inv₀ zero_le_two zero_lt_two
variable {E : ℕ → Type*}
namespace PiNat
/-! ### The firstDiff function -/
open Classical in
/-- 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
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]
classical
exact Nat.find_spec (ne_iff.1 h)
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
theorem firstDiff_comm (x y : ∀ n, E n) : firstDiff x y = firstDiff y x := by
classical
simp only [firstDiff_def, ne_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
/-! ### 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 }
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]
@[simp]
theorem cylinder_zero (x : ∀ n, E n) : cylinder x 0 = univ := by simp [cylinder_eq_pi]
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)
@[simp]
theorem mem_cylinder_iff {x y : ∀ n, E n} {n : ℕ} : y ∈ cylinder x n ↔ ∀ i < n, y i = x i :=
Iff.rfl
theorem self_mem_cylinder (x : ∀ n, E n) (n : ℕ) : x ∈ cylinder x n := by simp
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 _ _
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]
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)
theorem mem_cylinder_firstDiff (x y : ∀ n, E n) : x ∈ cylinder y (firstDiff x y) := fun _i hi =>
apply_eq_of_lt_firstDiff hi
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)
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
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]
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
@[simp]
theorem res_zero (x : ℕ → α) : res x 0 = @nil α :=
rfl
@[simp]
theorem res_succ (x : ℕ → α) (n : ℕ) : res x n.succ = x n :: res x n :=
rfl
@[simp]
theorem res_length (x : ℕ → α) (n : ℕ) : (res x n).length = n := by induction n <;> simp [*]
/-- 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
| zero => simp
| succ n ih =>
intro m hm
rw [Nat.lt_succ_iff_lt_or_eq] at hm
simp only [res_succ, cons.injEq] at h
rcases hm with hm | hm
· exact ih h.2 hm
rw [hm]
exact h.1
· induction n with
| zero => simp
| succ n ih =>
simp only [res_succ, cons.injEq]
refine ⟨h (Nat.lt_succ_self _), ih fun m hm => ?_⟩
exact h (hm.trans (Nat.lt_succ_self _))
theorem res_injective : Injective (@res α) := by
intro x y h
ext n
apply res_eq_res.mp _ (Nat.lt_succ_self _)
rw [h]
/-- `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]
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.
-/
open Classical in
/-- 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⟩
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]
protected theorem dist_self (x : ∀ n, E n) : dist x x = 0 := by simp [dist]
protected theorem dist_comm (x y : ∀ n, E n) : dist x y = dist y x := by
classical
simp [dist, @eq_comm _ x y, firstDiff_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]
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_inv₀, one_div, inv_pow, zero_lt_two, Ne,
not_false_iff, le_max_iff, pow_le_pow_iff_right₀, one_lt_two, pow_pos,
min_le_iff.1 (min_firstDiff_le x y z hxz)]
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 _ _)
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
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)
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_inv₀, pow_lt_pow_iff_right₀, one_lt_two] using h
exact apply_eq_of_lt_firstDiff (hi.trans_lt this)
/-- 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 _ _
| Mathlib/Topology/MetricSpace/PiNat.lean | 314 | 324 |
/-
Copyright (c) 2021 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Alex Kontorovich, Heather Macbeth
-/
import Mathlib.MeasureTheory.Integral.IntervalIntegral.Periodic
deprecated_module (since := "2025-04-13")
| Mathlib/MeasureTheory/Integral/Periodic.lean | 256 | 262 | |
/-
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, Sébastien Gouëzel,
Rémy Degenne, David Loeffler
-/
import Mathlib.Analysis.SpecialFunctions.Pow.Complex
import Qq
/-! # Power function on `ℝ`
We construct the power functions `x ^ y`, where `x` and `y` are real numbers.
-/
noncomputable section
open Real ComplexConjugate Finset Set
/-
## Definitions
-/
namespace Real
variable {x y z : ℝ}
/-- The real power function `x ^ y`, defined as the real part of the complex power function.
For `x > 0`, it is equal to `exp (y log x)`. For `x = 0`, one sets `0 ^ 0=1` and `0 ^ y=0` for
`y ≠ 0`. For `x < 0`, the definition is somewhat arbitrary as it depends on the choice of a complex
determination of the logarithm. With our conventions, it is equal to `exp (y log x) cos (π y)`. -/
noncomputable def rpow (x y : ℝ) :=
((x : ℂ) ^ (y : ℂ)).re
noncomputable instance : Pow ℝ ℝ := ⟨rpow⟩
@[simp]
theorem rpow_eq_pow (x y : ℝ) : rpow x y = x ^ y := rfl
theorem rpow_def (x y : ℝ) : x ^ y = ((x : ℂ) ^ (y : ℂ)).re := rfl
theorem rpow_def_of_nonneg {x : ℝ} (hx : 0 ≤ x) (y : ℝ) :
x ^ y = if x = 0 then if y = 0 then 1 else 0 else exp (log x * y) := by
simp only [rpow_def, Complex.cpow_def]; split_ifs <;>
simp_all [(Complex.ofReal_log hx).symm, -Complex.ofReal_mul,
(Complex.ofReal_mul _ _).symm, Complex.exp_ofReal_re, Complex.ofReal_eq_zero]
theorem rpow_def_of_pos {x : ℝ} (hx : 0 < x) (y : ℝ) : x ^ y = exp (log x * y) := by
rw [rpow_def_of_nonneg (le_of_lt hx), if_neg (ne_of_gt hx)]
theorem exp_mul (x y : ℝ) : exp (x * y) = exp x ^ y := by rw [rpow_def_of_pos (exp_pos _), log_exp]
@[simp, norm_cast]
theorem rpow_intCast (x : ℝ) (n : ℤ) : x ^ (n : ℝ) = x ^ n := by
simp only [rpow_def, ← Complex.ofReal_zpow, Complex.cpow_intCast, Complex.ofReal_intCast,
Complex.ofReal_re]
@[simp, norm_cast]
theorem rpow_natCast (x : ℝ) (n : ℕ) : x ^ (n : ℝ) = x ^ n := by simpa using rpow_intCast x n
@[simp]
theorem exp_one_rpow (x : ℝ) : exp 1 ^ x = exp x := by rw [← exp_mul, one_mul]
@[simp] lemma exp_one_pow (n : ℕ) : exp 1 ^ n = exp n := by rw [← rpow_natCast, exp_one_rpow]
theorem rpow_eq_zero_iff_of_nonneg (hx : 0 ≤ x) : x ^ y = 0 ↔ x = 0 ∧ y ≠ 0 := by
simp only [rpow_def_of_nonneg hx]
split_ifs <;> simp [*, exp_ne_zero]
@[simp]
lemma rpow_eq_zero (hx : 0 ≤ x) (hy : y ≠ 0) : x ^ y = 0 ↔ x = 0 := by
simp [rpow_eq_zero_iff_of_nonneg, *]
@[simp]
lemma rpow_ne_zero (hx : 0 ≤ x) (hy : y ≠ 0) : x ^ y ≠ 0 ↔ x ≠ 0 :=
Real.rpow_eq_zero hx hy |>.not
open Real
theorem rpow_def_of_neg {x : ℝ} (hx : x < 0) (y : ℝ) : x ^ y = exp (log x * y) * cos (y * π) := by
rw [rpow_def, Complex.cpow_def, if_neg]
· have : Complex.log x * y = ↑(log (-x) * y) + ↑(y * π) * Complex.I := by
simp only [Complex.log, Complex.norm_real, norm_eq_abs, abs_of_neg hx, log_neg_eq_log,
Complex.arg_ofReal_of_neg hx, Complex.ofReal_mul]
ring
rw [this, Complex.exp_add_mul_I, ← Complex.ofReal_exp, ← Complex.ofReal_cos, ←
Complex.ofReal_sin, mul_add, ← Complex.ofReal_mul, ← mul_assoc, ← Complex.ofReal_mul,
Complex.add_re, Complex.ofReal_re, Complex.mul_re, Complex.I_re, Complex.ofReal_im,
Real.log_neg_eq_log]
ring
· rw [Complex.ofReal_eq_zero]
exact ne_of_lt hx
theorem rpow_def_of_nonpos {x : ℝ} (hx : x ≤ 0) (y : ℝ) :
x ^ y = if x = 0 then if y = 0 then 1 else 0 else exp (log x * y) * cos (y * π) := by
split_ifs with h <;> simp [rpow_def, *]; exact rpow_def_of_neg (lt_of_le_of_ne hx h) _
@[bound]
theorem rpow_pos_of_pos {x : ℝ} (hx : 0 < x) (y : ℝ) : 0 < x ^ y := by
rw [rpow_def_of_pos hx]; apply exp_pos
@[simp]
theorem rpow_zero (x : ℝ) : x ^ (0 : ℝ) = 1 := by simp [rpow_def]
theorem rpow_zero_pos (x : ℝ) : 0 < x ^ (0 : ℝ) := by simp
@[simp]
theorem zero_rpow {x : ℝ} (h : x ≠ 0) : (0 : ℝ) ^ x = 0 := by simp [rpow_def, *]
theorem zero_rpow_eq_iff {x : ℝ} {a : ℝ} : 0 ^ x = a ↔ x ≠ 0 ∧ a = 0 ∨ x = 0 ∧ a = 1 := by
constructor
· intro hyp
simp only [rpow_def, Complex.ofReal_zero] at hyp
by_cases h : x = 0
· subst h
simp only [Complex.one_re, Complex.ofReal_zero, Complex.cpow_zero] at hyp
exact Or.inr ⟨rfl, hyp.symm⟩
· rw [Complex.zero_cpow (Complex.ofReal_ne_zero.mpr h)] at hyp
exact Or.inl ⟨h, hyp.symm⟩
· rintro (⟨h, rfl⟩ | ⟨rfl, rfl⟩)
· exact zero_rpow h
· exact rpow_zero _
theorem eq_zero_rpow_iff {x : ℝ} {a : ℝ} : a = 0 ^ x ↔ x ≠ 0 ∧ a = 0 ∨ x = 0 ∧ a = 1 := by
rw [← zero_rpow_eq_iff, eq_comm]
@[simp]
theorem rpow_one (x : ℝ) : x ^ (1 : ℝ) = x := by simp [rpow_def]
@[simp]
theorem one_rpow (x : ℝ) : (1 : ℝ) ^ x = 1 := by simp [rpow_def]
theorem zero_rpow_le_one (x : ℝ) : (0 : ℝ) ^ x ≤ 1 := by
by_cases h : x = 0 <;> simp [h, zero_le_one]
theorem zero_rpow_nonneg (x : ℝ) : 0 ≤ (0 : ℝ) ^ x := by
by_cases h : x = 0 <;> simp [h, zero_le_one]
@[bound]
theorem rpow_nonneg {x : ℝ} (hx : 0 ≤ x) (y : ℝ) : 0 ≤ x ^ y := by
rw [rpow_def_of_nonneg hx]; split_ifs <;>
simp only [zero_le_one, le_refl, le_of_lt (exp_pos _)]
theorem abs_rpow_of_nonneg {x y : ℝ} (hx_nonneg : 0 ≤ x) : |x ^ y| = |x| ^ y := by
have h_rpow_nonneg : 0 ≤ x ^ y := Real.rpow_nonneg hx_nonneg _
rw [abs_eq_self.mpr hx_nonneg, abs_eq_self.mpr h_rpow_nonneg]
@[bound]
theorem abs_rpow_le_abs_rpow (x y : ℝ) : |x ^ y| ≤ |x| ^ y := by
rcases le_or_lt 0 x with hx | hx
· rw [abs_rpow_of_nonneg hx]
· rw [abs_of_neg hx, rpow_def_of_neg hx, rpow_def_of_pos (neg_pos.2 hx), log_neg_eq_log, abs_mul,
abs_of_pos (exp_pos _)]
exact mul_le_of_le_one_right (exp_pos _).le (abs_cos_le_one _)
theorem abs_rpow_le_exp_log_mul (x y : ℝ) : |x ^ y| ≤ exp (log x * y) := by
refine (abs_rpow_le_abs_rpow x y).trans ?_
by_cases hx : x = 0
· by_cases hy : y = 0 <;> simp [hx, hy, zero_le_one]
· rw [rpow_def_of_pos (abs_pos.2 hx), log_abs]
lemma rpow_inv_log (hx₀ : 0 < x) (hx₁ : x ≠ 1) : x ^ (log x)⁻¹ = exp 1 := by
rw [rpow_def_of_pos hx₀, mul_inv_cancel₀]
exact log_ne_zero.2 ⟨hx₀.ne', hx₁, (hx₀.trans' <| by norm_num).ne'⟩
/-- See `Real.rpow_inv_log` for the equality when `x ≠ 1` is strictly positive. -/
lemma rpow_inv_log_le_exp_one : x ^ (log x)⁻¹ ≤ exp 1 := by
calc
_ ≤ |x ^ (log x)⁻¹| := le_abs_self _
_ ≤ |x| ^ (log x)⁻¹ := abs_rpow_le_abs_rpow ..
rw [← log_abs]
obtain hx | hx := (abs_nonneg x).eq_or_gt
· simp [hx]
· rw [rpow_def_of_pos hx]
gcongr
exact mul_inv_le_one
theorem norm_rpow_of_nonneg {x y : ℝ} (hx_nonneg : 0 ≤ x) : ‖x ^ y‖ = ‖x‖ ^ y := by
simp_rw [Real.norm_eq_abs]
exact abs_rpow_of_nonneg hx_nonneg
variable {w x y z : ℝ}
theorem rpow_add (hx : 0 < x) (y z : ℝ) : x ^ (y + z) = x ^ y * x ^ z := by
simp only [rpow_def_of_pos hx, mul_add, exp_add]
theorem rpow_add' (hx : 0 ≤ x) (h : y + z ≠ 0) : x ^ (y + z) = x ^ y * x ^ z := by
rcases hx.eq_or_lt with (rfl | pos)
· rw [zero_rpow h, zero_eq_mul]
have : y ≠ 0 ∨ z ≠ 0 := not_and_or.1 fun ⟨hy, hz⟩ => h <| hy.symm ▸ hz.symm ▸ zero_add 0
exact this.imp zero_rpow zero_rpow
· exact rpow_add pos _ _
/-- Variant of `Real.rpow_add'` that avoids having to prove `y + z = w` twice. -/
lemma rpow_of_add_eq (hx : 0 ≤ x) (hw : w ≠ 0) (h : y + z = w) : x ^ w = x ^ y * x ^ z := by
rw [← h, rpow_add' hx]; rwa [h]
theorem rpow_add_of_nonneg (hx : 0 ≤ x) (hy : 0 ≤ y) (hz : 0 ≤ z) :
x ^ (y + z) = x ^ y * x ^ z := by
rcases hy.eq_or_lt with (rfl | hy)
· rw [zero_add, rpow_zero, one_mul]
exact rpow_add' hx (ne_of_gt <| add_pos_of_pos_of_nonneg hy hz)
/-- For `0 ≤ x`, the only problematic case in the equality `x ^ y * x ^ z = x ^ (y + z)` is for
`x = 0` and `y + z = 0`, where the right hand side is `1` while the left hand side can vanish.
The inequality is always true, though, and given in this lemma. -/
theorem le_rpow_add {x : ℝ} (hx : 0 ≤ x) (y z : ℝ) : x ^ y * x ^ z ≤ x ^ (y + z) := by
rcases le_iff_eq_or_lt.1 hx with (H | pos)
· by_cases h : y + z = 0
· simp only [H.symm, h, rpow_zero]
calc
(0 : ℝ) ^ y * 0 ^ z ≤ 1 * 1 :=
mul_le_mul (zero_rpow_le_one y) (zero_rpow_le_one z) (zero_rpow_nonneg z) zero_le_one
_ = 1 := by simp
· simp [rpow_add', ← H, h]
· simp [rpow_add pos]
theorem rpow_sum_of_pos {ι : Type*} {a : ℝ} (ha : 0 < a) (f : ι → ℝ) (s : Finset ι) :
(a ^ ∑ x ∈ s, f x) = ∏ x ∈ s, a ^ f x :=
map_sum (⟨⟨fun (x : ℝ) => (a ^ x : ℝ), rpow_zero a⟩, rpow_add ha⟩ : ℝ →+ (Additive ℝ)) f s
theorem rpow_sum_of_nonneg {ι : Type*} {a : ℝ} (ha : 0 ≤ a) {s : Finset ι} {f : ι → ℝ}
(h : ∀ x ∈ s, 0 ≤ f x) : (a ^ ∑ x ∈ s, f x) = ∏ x ∈ s, a ^ f x := by
induction' s using Finset.cons_induction with i s hi ihs
· rw [sum_empty, Finset.prod_empty, rpow_zero]
· rw [forall_mem_cons] at h
rw [sum_cons, prod_cons, ← ihs h.2, rpow_add_of_nonneg ha h.1 (sum_nonneg h.2)]
theorem rpow_neg {x : ℝ} (hx : 0 ≤ x) (y : ℝ) : x ^ (-y) = (x ^ y)⁻¹ := by
simp only [rpow_def_of_nonneg hx]; split_ifs <;> simp_all [exp_neg]
theorem rpow_sub {x : ℝ} (hx : 0 < x) (y z : ℝ) : x ^ (y - z) = x ^ y / x ^ z := by
simp only [sub_eq_add_neg, rpow_add hx, rpow_neg (le_of_lt hx), div_eq_mul_inv]
theorem rpow_sub' {x : ℝ} (hx : 0 ≤ x) {y z : ℝ} (h : y - z ≠ 0) : x ^ (y - z) = x ^ y / x ^ z := by
simp only [sub_eq_add_neg] at h ⊢
simp only [rpow_add' hx h, rpow_neg hx, div_eq_mul_inv]
protected theorem _root_.HasCompactSupport.rpow_const {α : Type*} [TopologicalSpace α] {f : α → ℝ}
(hf : HasCompactSupport f) {r : ℝ} (hr : r ≠ 0) : HasCompactSupport (fun x ↦ f x ^ r) :=
hf.comp_left (g := (· ^ r)) (Real.zero_rpow hr)
end Real
/-!
## Comparing real and complex powers
-/
namespace Complex
theorem ofReal_cpow {x : ℝ} (hx : 0 ≤ x) (y : ℝ) : ((x ^ y : ℝ) : ℂ) = (x : ℂ) ^ (y : ℂ) := by
simp only [Real.rpow_def_of_nonneg hx, Complex.cpow_def, ofReal_eq_zero]; split_ifs <;>
simp [Complex.ofReal_log hx]
theorem ofReal_cpow_of_nonpos {x : ℝ} (hx : x ≤ 0) (y : ℂ) :
(x : ℂ) ^ y = (-x : ℂ) ^ y * exp (π * I * y) := by
rcases hx.eq_or_lt with (rfl | hlt)
· rcases eq_or_ne y 0 with (rfl | hy) <;> simp [*]
have hne : (x : ℂ) ≠ 0 := ofReal_ne_zero.mpr hlt.ne
rw [cpow_def_of_ne_zero hne, cpow_def_of_ne_zero (neg_ne_zero.2 hne), ← exp_add, ← add_mul, log,
log, norm_neg, arg_ofReal_of_neg hlt, ← ofReal_neg, arg_ofReal_of_nonneg (neg_nonneg.2 hx),
ofReal_zero, zero_mul, add_zero]
lemma cpow_ofReal (x : ℂ) (y : ℝ) :
x ^ (y : ℂ) = ↑(‖x‖ ^ y) * (Real.cos (arg x * y) + Real.sin (arg x * y) * I) := by
rcases eq_or_ne x 0 with rfl | hx
· simp [ofReal_cpow le_rfl]
· rw [cpow_def_of_ne_zero hx, exp_eq_exp_re_mul_sin_add_cos, mul_comm (log x)]
norm_cast
rw [re_ofReal_mul, im_ofReal_mul, log_re, log_im, mul_comm y, mul_comm y, Real.exp_mul,
Real.exp_log]
rwa [norm_pos_iff]
lemma cpow_ofReal_re (x : ℂ) (y : ℝ) : (x ^ (y : ℂ)).re = ‖x‖ ^ y * Real.cos (arg x * y) := by
rw [cpow_ofReal]; generalize arg x * y = z; simp [Real.cos]
lemma cpow_ofReal_im (x : ℂ) (y : ℝ) : (x ^ (y : ℂ)).im = ‖x‖ ^ y * Real.sin (arg x * y) := by
rw [cpow_ofReal]; generalize arg x * y = z; simp [Real.sin]
theorem norm_cpow_of_ne_zero {z : ℂ} (hz : z ≠ 0) (w : ℂ) :
‖z ^ w‖ = ‖z‖ ^ w.re / Real.exp (arg z * im w) := by
rw [cpow_def_of_ne_zero hz, norm_exp, mul_re, log_re, log_im, Real.exp_sub,
Real.rpow_def_of_pos (norm_pos_iff.mpr hz)]
theorem norm_cpow_of_imp {z w : ℂ} (h : z = 0 → w.re = 0 → w = 0) :
‖z ^ w‖ = ‖z‖ ^ w.re / Real.exp (arg z * im w) := by
rcases ne_or_eq z 0 with (hz | rfl) <;> [exact norm_cpow_of_ne_zero hz w; rw [norm_zero]]
rcases eq_or_ne w.re 0 with hw | hw
· simp [hw, h rfl hw]
· rw [Real.zero_rpow hw, zero_div, zero_cpow, norm_zero]
exact ne_of_apply_ne re hw
theorem norm_cpow_le (z w : ℂ) : ‖z ^ w‖ ≤ ‖z‖ ^ w.re / Real.exp (arg z * im w) := by
by_cases h : z = 0 → w.re = 0 → w = 0
· exact (norm_cpow_of_imp h).le
· push_neg at h
simp [h]
@[simp]
theorem norm_cpow_real (x : ℂ) (y : ℝ) : ‖x ^ (y : ℂ)‖ = ‖x‖ ^ y := by
rw [norm_cpow_of_imp] <;> simp
@[simp]
theorem norm_cpow_inv_nat (x : ℂ) (n : ℕ) : ‖x ^ (n⁻¹ : ℂ)‖ = ‖x‖ ^ (n⁻¹ : ℝ) := by
rw [← norm_cpow_real]; simp
| theorem norm_cpow_eq_rpow_re_of_pos {x : ℝ} (hx : 0 < x) (y : ℂ) : ‖(x : ℂ) ^ y‖ = x ^ y.re := by
rw [norm_cpow_of_ne_zero (ofReal_ne_zero.mpr hx.ne'), arg_ofReal_of_nonneg hx.le,
| Mathlib/Analysis/SpecialFunctions/Pow/Real.lean | 307 | 308 |
/-
Copyright (c) 2022 Eric Rodriguez. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Eric Rodriguez
-/
import Mathlib.Algebra.IsPrimePow
import Mathlib.SetTheory.Cardinal.Arithmetic
import Mathlib.Tactic.WLOG
/-!
# Cardinal Divisibility
We show basic results about divisibility in the cardinal numbers. This relation can be characterised
in the following simple way: if `a` and `b` are both less than `ℵ₀`, then `a ∣ b` iff they are
divisible as natural numbers. If `b` is greater than `ℵ₀`, then `a ∣ b` iff `a ≤ b`. This
furthermore shows that all infinite cardinals are prime; recall that `a * b = max a b` if
`ℵ₀ ≤ a * b`; therefore `a ∣ b * c = a ∣ max b c` and therefore clearly either `a ∣ b` or `a ∣ c`.
Note furthermore that no infinite cardinal is irreducible
(`Cardinal.not_irreducible_of_aleph0_le`), showing that the cardinal numbers do not form a
`CancelCommMonoidWithZero`.
## Main results
* `Cardinal.prime_of_aleph0_le`: a `Cardinal` is prime if it is infinite.
* `Cardinal.is_prime_iff`: a `Cardinal` is prime iff it is infinite or a prime natural number.
* `Cardinal.isPrimePow_iff`: a `Cardinal` is a prime power iff it is infinite or a natural number
which is itself a prime power.
-/
namespace Cardinal
universe u
variable {a b : Cardinal.{u}} {n m : ℕ}
/-- Alias of `isUnit_iff_eq_one` for discoverability. -/
theorem isUnit_iff : IsUnit a ↔ a = 1 := by
refine
⟨fun h => ?_, by
rintro rfl
exact isUnit_one⟩
rcases eq_or_ne a 0 with (rfl | ha)
· exact (not_isUnit_zero h).elim
rw [isUnit_iff_forall_dvd] at h
obtain ⟨t, ht⟩ := h 1
rw [eq_comm, mul_eq_one_iff_of_one_le] at ht
· exact ht.1
· exact one_le_iff_ne_zero.mpr ha
· apply one_le_iff_ne_zero.mpr
intro h
rw [h, mul_zero] at ht
exact zero_ne_one ht
instance : Unique Cardinal.{u}ˣ where
default := 1
uniq a := Units.val_eq_one.mp <| isUnit_iff.mp a.isUnit
theorem le_of_dvd : ∀ {a b : Cardinal}, b ≠ 0 → a ∣ b → a ≤ b
| a, x, b0, ⟨b, hab⟩ => by
simpa only [hab, mul_one] using
mul_le_mul_left' (one_le_iff_ne_zero.2 fun h : b = 0 => b0 (by rwa [h, mul_zero] at hab)) a
theorem dvd_of_le_of_aleph0_le (ha : a ≠ 0) (h : a ≤ b) (hb : ℵ₀ ≤ b) : a ∣ b :=
⟨b, (mul_eq_right hb h ha).symm⟩
@[simp]
theorem prime_of_aleph0_le (ha : ℵ₀ ≤ a) : Prime a := by
refine ⟨(aleph0_pos.trans_le ha).ne', ?_, fun b c hbc => ?_⟩
· rw [isUnit_iff]
exact (one_lt_aleph0.trans_le ha).ne'
rcases eq_or_ne (b * c) 0 with hz | hz
· rcases mul_eq_zero.mp hz with (rfl | rfl) <;> simp
wlog h : c ≤ b
· cases le_total c b <;> [solve_by_elim; rw [or_comm]]
apply_assumption
assumption'
all_goals rwa [mul_comm]
left
have habc := le_of_dvd hz hbc
rwa [mul_eq_max' <| ha.trans <| habc, max_def', if_pos h] at hbc
theorem not_irreducible_of_aleph0_le (ha : ℵ₀ ≤ a) : ¬Irreducible a := by
rw [irreducible_iff, not_and_or]
refine Or.inr fun h => ?_
simpa [mul_aleph0_eq ha, isUnit_iff, (one_lt_aleph0.trans_le ha).ne', one_lt_aleph0.ne'] using
@h a ℵ₀
@[simp, norm_cast]
theorem nat_coe_dvd_iff : (n : Cardinal) ∣ m ↔ n ∣ m := by
refine ⟨?_, fun ⟨h, ht⟩ => ⟨h, mod_cast ht⟩⟩
rintro ⟨k, hk⟩
have : ↑m < ℵ₀ := nat_lt_aleph0 m
rw [hk, mul_lt_aleph0_iff] at this
rcases this with (h | h | ⟨-, hk'⟩)
iterate 2 simp only [h, mul_zero, zero_mul, Nat.cast_eq_zero] at hk; simp [hk]
lift k to ℕ using hk'
exact ⟨k, mod_cast hk⟩
@[simp]
theorem nat_is_prime_iff : Prime (n : Cardinal) ↔ n.Prime := by
simp only [Prime, Nat.prime_iff]
refine and_congr (by simp) (and_congr ?_ ⟨fun h b c hbc => ?_, fun h b c hbc => ?_⟩)
· simp only [isUnit_iff, Nat.isUnit_iff]
exact mod_cast Iff.rfl
· exact mod_cast h b c (mod_cast hbc)
rcases lt_or_le (b * c) ℵ₀ with h' | h'
· rcases mul_lt_aleph0_iff.mp h' with (rfl | rfl | ⟨hb, hc⟩)
· simp
· simp
lift b to ℕ using hb
lift c to ℕ using hc
exact mod_cast h b c (mod_cast hbc)
rcases aleph0_le_mul_iff.mp h' with ⟨hb, hc, hℵ₀⟩
have hn : (n : Cardinal) ≠ 0 := by
intro h
rw [h, zero_dvd_iff, mul_eq_zero] at hbc
cases hbc <;> contradiction
wlog hℵ₀b : ℵ₀ ≤ b
apply (this h c b _ _ hc hb hℵ₀.symm hn (hℵ₀.resolve_left hℵ₀b)).symm <;> try assumption
· rwa [mul_comm] at hbc
· rwa [mul_comm] at h'
· exact Or.inl (dvd_of_le_of_aleph0_le hn ((nat_lt_aleph0 n).le.trans hℵ₀b) hℵ₀b)
theorem is_prime_iff {a : Cardinal} : Prime a ↔ ℵ₀ ≤ a ∨ ∃ p : ℕ, a = p ∧ p.Prime := by
rcases le_or_lt ℵ₀ a with h | h
· simp [h]
lift a to ℕ using id h
simp [not_le.mpr h]
theorem isPrimePow_iff {a : Cardinal} : IsPrimePow a ↔ ℵ₀ ≤ a ∨ ∃ n : ℕ, a = n ∧ IsPrimePow n := by
by_cases h : ℵ₀ ≤ a
· simp [h, (prime_of_aleph0_le h).isPrimePow]
simp only [h, Nat.cast_inj, exists_eq_left', false_or, isPrimePow_nat_iff]
lift a to ℕ using not_le.mp h
rw [isPrimePow_def]
refine
⟨?_, fun ⟨n, han, p, k, hp, hk, h⟩ =>
⟨p, k, nat_is_prime_iff.2 hp, hk, by rw [han]; exact mod_cast h⟩⟩
rintro ⟨p, k, hp, hk, hpk⟩
have key : p ^ (1 : Cardinal) ≤ ↑a := by
rw [← hpk]; apply power_le_power_left hp.ne_zero; exact mod_cast hk
| rw [power_one] at key
lift p to ℕ using key.trans_lt (nat_lt_aleph0 a)
exact ⟨a, rfl, p, k, nat_is_prime_iff.mp hp, hk, mod_cast hpk⟩
end Cardinal
| Mathlib/SetTheory/Cardinal/Divisibility.lean | 144 | 158 |
/-
Copyright (c) 2022 Moritz Doll. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Moritz Doll
-/
import Mathlib.Analysis.SpecialFunctions.Integrals
import Mathlib.MeasureTheory.Measure.Lebesgue.EqHaar
import Mathlib.MeasureTheory.Integral.Layercake
/-!
# Japanese Bracket
In this file, we show that Japanese bracket $(1 + \|x\|^2)^{1/2}$ can be estimated from above
and below by $1 + \|x\|$.
The functions $(1 + \|x\|^2)^{-r/2}$ and $(1 + |x|)^{-r}$ are integrable provided that `r` is larger
than the dimension.
## Main statements
* `integrable_one_add_norm`: the function $(1 + |x|)^{-r}$ is integrable
* `integrable_jap` the Japanese bracket is integrable
-/
noncomputable section
open scoped NNReal Filter Topology ENNReal
open Asymptotics Filter Set Real MeasureTheory Module
variable {E : Type*} [NormedAddCommGroup E]
theorem sqrt_one_add_norm_sq_le (x : E) : √((1 : ℝ) + ‖x‖ ^ 2) ≤ 1 + ‖x‖ := by
rw [sqrt_le_left (by positivity)]
simp [add_sq]
theorem one_add_norm_le_sqrt_two_mul_sqrt (x : E) :
(1 : ℝ) + ‖x‖ ≤ √2 * √(1 + ‖x‖ ^ 2) := by
rw [← sqrt_mul zero_le_two]
have := sq_nonneg (‖x‖ - 1)
apply le_sqrt_of_sq_le
linarith
theorem rpow_neg_one_add_norm_sq_le {r : ℝ} (x : E) (hr : 0 < r) :
((1 : ℝ) + ‖x‖ ^ 2) ^ (-r / 2) ≤ (2 : ℝ) ^ (r / 2) * (1 + ‖x‖) ^ (-r) :=
calc
((1 : ℝ) + ‖x‖ ^ 2) ^ (-r / 2)
= (2 : ℝ) ^ (r / 2) * ((√2 * √((1 : ℝ) + ‖x‖ ^ 2)) ^ r)⁻¹ := by
rw [rpow_div_two_eq_sqrt, rpow_div_two_eq_sqrt, mul_rpow, mul_inv, rpow_neg,
mul_inv_cancel_left₀] <;> positivity
_ ≤ (2 : ℝ) ^ (r / 2) * ((1 + ‖x‖) ^ r)⁻¹ := by
gcongr
apply one_add_norm_le_sqrt_two_mul_sqrt
_ = (2 : ℝ) ^ (r / 2) * (1 + ‖x‖) ^ (-r) := by rw [rpow_neg]; positivity
theorem le_rpow_one_add_norm_iff_norm_le {r t : ℝ} (hr : 0 < r) (ht : 0 < t) (x : E) :
t ≤ (1 + ‖x‖) ^ (-r) ↔ ‖x‖ ≤ t ^ (-r⁻¹) - 1 := by
rw [le_sub_iff_add_le', neg_inv]
exact (Real.le_rpow_inv_iff_of_neg (by positivity) ht (neg_lt_zero.mpr hr)).symm
variable (E)
theorem closedBall_rpow_sub_one_eq_empty_aux {r t : ℝ} (hr : 0 < r) (ht : 1 < t) :
Metric.closedBall (0 : E) (t ^ (-r⁻¹) - 1) = ∅ := by
rw [Metric.closedBall_eq_empty, sub_neg]
exact Real.rpow_lt_one_of_one_lt_of_neg ht (by simp only [hr, Right.neg_neg_iff, inv_pos])
variable [NormedSpace ℝ E] [FiniteDimensional ℝ E]
variable {E}
theorem finite_integral_rpow_sub_one_pow_aux {r : ℝ} (n : ℕ) (hnr : (n : ℝ) < r) :
(∫⁻ x : ℝ in Ioc 0 1, ENNReal.ofReal ((x ^ (-r⁻¹) - 1) ^ n)) < ∞ := by
have hr : 0 < r := lt_of_le_of_lt n.cast_nonneg hnr
have h_int x (hx : x ∈ Ioc (0 : ℝ) 1) := by
calc
ENNReal.ofReal ((x ^ (-r⁻¹) - 1) ^ n) ≤ .ofReal ((x ^ (-r⁻¹) - 0) ^ n) := by
gcongr
· rw [sub_nonneg]
exact Real.one_le_rpow_of_pos_of_le_one_of_nonpos hx.1 hx.2 (by simpa using hr.le)
· norm_num
_ = .ofReal (x ^ (-(r⁻¹ * n))) := by simp [rpow_mul hx.1.le, ← neg_mul]
refine lt_of_le_of_lt (setLIntegral_mono' measurableSet_Ioc h_int) ?_
refine IntegrableOn.setLIntegral_lt_top ?_
rw [← intervalIntegrable_iff_integrableOn_Ioc_of_le zero_le_one]
apply intervalIntegral.intervalIntegrable_rpow'
rwa [neg_lt_neg_iff, inv_mul_lt_iff₀' hr, one_mul]
variable [MeasurableSpace E] [BorelSpace E] {μ : Measure E} [μ.IsAddHaarMeasure]
theorem finite_integral_one_add_norm {r : ℝ} (hnr : (finrank ℝ E : ℝ) < r) :
(∫⁻ x : E, ENNReal.ofReal ((1 + ‖x‖) ^ (-r)) ∂μ) < ∞ := by
have hr : 0 < r := lt_of_le_of_lt (finrank ℝ E).cast_nonneg hnr
-- We start by applying the layer cake formula
have h_meas : Measurable fun ω : E => (1 + ‖ω‖) ^ (-r) := by fun_prop
have h_pos : ∀ x : E, 0 ≤ (1 + ‖x‖) ^ (-r) := fun x ↦ by positivity
rw [lintegral_eq_lintegral_meas_le μ (Eventually.of_forall h_pos) h_meas.aemeasurable]
have h_int : ∀ t, 0 < t → μ {a : E | t ≤ (1 + ‖a‖) ^ (-r)} =
μ (Metric.closedBall (0 : E) (t ^ (-r⁻¹) - 1)) := fun t ht ↦ by
congr 1
ext x
simp only [mem_setOf_eq, mem_closedBall_zero_iff]
exact le_rpow_one_add_norm_iff_norm_le hr (mem_Ioi.mp ht) x
rw [setLIntegral_congr_fun measurableSet_Ioi (Eventually.of_forall h_int)]
set f := fun t : ℝ ↦ μ (Metric.closedBall (0 : E) (t ^ (-r⁻¹) - 1))
set mB := μ (Metric.ball (0 : E) 1)
-- the next two inequalities are in fact equalities but we don't need that
calc
∫⁻ t in Ioi 0, f t ≤ ∫⁻ t in Ioc 0 1 ∪ Ioi 1, f t := lintegral_mono_set Ioi_subset_Ioc_union_Ioi
_ ≤ (∫⁻ t in Ioc 0 1, f t) + ∫⁻ t in Ioi 1, f t := lintegral_union_le _ _ _
_ < ∞ := ENNReal.add_lt_top.2 ⟨?_, ?_⟩
· -- We use estimates from auxiliary lemmas to deal with integral from `0` to `1`
have h_int' : ∀ t ∈ Ioc (0 : ℝ) 1,
f t = ENNReal.ofReal ((t ^ (-r⁻¹) - 1) ^ finrank ℝ E) * mB := fun t ht ↦ by
refine μ.addHaar_closedBall (0 : E) ?_
rw [sub_nonneg]
exact Real.one_le_rpow_of_pos_of_le_one_of_nonpos ht.1 ht.2 (by simp [hr.le])
rw [setLIntegral_congr_fun measurableSet_Ioc (ae_of_all _ h_int'),
lintegral_mul_const' _ _ measure_ball_lt_top.ne]
exact ENNReal.mul_lt_top
(finite_integral_rpow_sub_one_pow_aux (finrank ℝ E) hnr) measure_ball_lt_top
· -- The integral from 1 to ∞ is zero:
have h_int'' : ∀ t ∈ Ioi (1 : ℝ), f t = 0 := fun t ht => by
simp only [f, closedBall_rpow_sub_one_eq_empty_aux E hr ht, measure_empty]
-- The integral over the constant zero function is finite:
rw [setLIntegral_congr_fun measurableSet_Ioi (ae_of_all volume <| h_int''), lintegral_const 0,
zero_mul]
exact WithTop.top_pos
theorem integrable_one_add_norm {r : ℝ} (hnr : (finrank ℝ E : ℝ) < r) :
Integrable (fun x ↦ (1 + ‖x‖) ^ (-r)) μ := by
constructor
· apply Measurable.aestronglyMeasurable (by fun_prop)
-- Lower Lebesgue integral
have : (∫⁻ a : E, ‖(1 + ‖a‖) ^ (-r)‖ₑ ∂μ) = ∫⁻ a : E, ENNReal.ofReal ((1 + ‖a‖) ^ (-r)) ∂μ :=
lintegral_enorm_of_nonneg fun _ => rpow_nonneg (by positivity) _
rw [hasFiniteIntegral_iff_enorm, this]
exact finite_integral_one_add_norm hnr
theorem integrable_rpow_neg_one_add_norm_sq {r : ℝ} (hnr : (finrank ℝ E : ℝ) < r) :
Integrable (fun x ↦ ((1 : ℝ) + ‖x‖ ^ 2) ^ (-r / 2)) μ := by
have hr : 0 < r := lt_of_le_of_lt (finrank ℝ E).cast_nonneg hnr
refine ((integrable_one_add_norm hnr).const_mul <| (2 : ℝ) ^ (r / 2)).mono'
?_ (Eventually.of_forall fun x => ?_)
· apply Measurable.aestronglyMeasurable (by fun_prop)
refine (abs_of_pos ?_).trans_le (rpow_neg_one_add_norm_sq_le x hr)
positivity
| Mathlib/Analysis/SpecialFunctions/JapaneseBracket.lean | 153 | 162 | |
/-
Copyright (c) 2022 Praneeth Kolichala. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Praneeth Kolichala
-/
import Mathlib.Topology.Homotopy.Path
import Mathlib.Topology.Homotopy.Equiv
/-!
# Contractible spaces
In this file, we define `ContractibleSpace`, a space that is homotopy equivalent to `Unit`.
-/
noncomputable section
namespace ContinuousMap
variable {X Y Z : Type*} [TopologicalSpace X] [TopologicalSpace Y] [TopologicalSpace Z]
/-- A map is nullhomotopic if it is homotopic to a constant map. -/
def Nullhomotopic (f : C(X, Y)) : Prop :=
∃ y : Y, Homotopic f (ContinuousMap.const _ y)
theorem nullhomotopic_of_constant (y : Y) : Nullhomotopic (ContinuousMap.const X y) :=
⟨y, by rfl⟩
theorem Nullhomotopic.comp_right {f : C(X, Y)} (hf : f.Nullhomotopic) (g : C(Y, Z)) :
(g.comp f).Nullhomotopic := by
obtain ⟨y, hy⟩ := hf
use g y
exact Homotopic.hcomp hy (Homotopic.refl g)
theorem Nullhomotopic.comp_left {f : C(Y, Z)} (hf : f.Nullhomotopic) (g : C(X, Y)) :
(f.comp g).Nullhomotopic := by
obtain ⟨y, hy⟩ := hf
use y
exact Homotopic.hcomp (Homotopic.refl g) hy
end ContinuousMap
open ContinuousMap
/-- A contractible space is one that is homotopy equivalent to `Unit`. -/
class ContractibleSpace (X : Type*) [TopologicalSpace X] : Prop where
hequiv_unit' : Nonempty (X ≃ₕ Unit)
theorem ContractibleSpace.hequiv_unit (X : Type*) [TopologicalSpace X] [ContractibleSpace X] :
Nonempty (X ≃ₕ Unit) :=
ContractibleSpace.hequiv_unit'
theorem id_nullhomotopic (X : Type*) [TopologicalSpace X] [ContractibleSpace X] :
(ContinuousMap.id X).Nullhomotopic := by
obtain ⟨hv⟩ := ContractibleSpace.hequiv_unit X
use hv.invFun ()
convert hv.left_inv.symm
theorem contractible_iff_id_nullhomotopic (Y : Type*) [TopologicalSpace Y] :
ContractibleSpace Y ↔ (ContinuousMap.id Y).Nullhomotopic := by
constructor
· intro
apply id_nullhomotopic
rintro ⟨p, h⟩
refine
{ hequiv_unit' :=
⟨{ toFun := ContinuousMap.const _ ()
invFun := ContinuousMap.const _ p
left_inv := ?_
right_inv := ?_ }⟩ }
· exact h.symm
· convert Homotopic.refl (ContinuousMap.id Unit)
variable {X Y : Type*} [TopologicalSpace X] [TopologicalSpace Y]
protected theorem ContinuousMap.HomotopyEquiv.contractibleSpace [ContractibleSpace Y] (e : X ≃ₕ Y) :
ContractibleSpace X :=
⟨(ContractibleSpace.hequiv_unit Y).map e.trans⟩
protected theorem ContinuousMap.HomotopyEquiv.contractibleSpace_iff (e : X ≃ₕ Y) :
ContractibleSpace X ↔ ContractibleSpace Y :=
⟨fun _ => e.symm.contractibleSpace, fun _ => e.contractibleSpace⟩
protected theorem Homeomorph.contractibleSpace [ContractibleSpace Y] (e : X ≃ₜ Y) :
ContractibleSpace X :=
e.toHomotopyEquiv.contractibleSpace
protected theorem Homeomorph.contractibleSpace_iff (e : X ≃ₜ Y) :
ContractibleSpace X ↔ ContractibleSpace Y :=
e.toHomotopyEquiv.contractibleSpace_iff
namespace ContractibleSpace
instance [Nonempty Y] [Subsingleton Y] : ContractibleSpace Y :=
let ⟨_⟩ := nonempty_unique Y
⟨⟨(Homeomorph.homeomorphOfUnique Y Unit).toHomotopyEquiv⟩⟩
variable (X Y) in
theorem hequiv [ContractibleSpace X] [ContractibleSpace Y] :
Nonempty (X ≃ₕ Y) := by
rcases ContractibleSpace.hequiv_unit' (X := X) with ⟨h⟩
rcases ContractibleSpace.hequiv_unit' (X := Y) with ⟨h'⟩
exact ⟨h.trans h'.symm⟩
instance (priority := 100) [ContractibleSpace X] : PathConnectedSpace X := by
obtain ⟨p, ⟨h⟩⟩ := id_nullhomotopic X
have : ∀ x, Joined p x := fun x => ⟨(h.evalAt x).symm⟩
rw [pathConnectedSpace_iff_eq]; use p; ext; tauto
end ContractibleSpace
| Mathlib/Topology/Homotopy/Contractible.lean | 113 | 117 | |
/-
Copyright (c) 2019 Jeremy Avigad. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jeremy Avigad, Sébastien Gouëzel, Yury Kudryashov
-/
import Mathlib.Analysis.Analytic.Constructions
import Mathlib.Analysis.Calculus.FDeriv.Analytic
import Mathlib.Analysis.Calculus.FDeriv.Bilinear
/-!
# Multiplicative operations on derivatives
For detailed documentation of the Fréchet derivative,
see the module docstring of `Mathlib/Analysis/Calculus/FDeriv/Basic.lean`.
This file contains the usual formulas (and existence assertions) for the derivative of
* multiplication of a function by a scalar function
* product of finitely many scalar functions
* taking the pointwise multiplicative inverse (i.e. `Inv.inv` or `Ring.inverse`) of a function
-/
open Asymptotics ContinuousLinearMap Topology
section
variable {𝕜 : Type*} [NontriviallyNormedField 𝕜]
variable {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E]
variable {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F]
variable {G : Type*} [NormedAddCommGroup G] [NormedSpace 𝕜 G]
variable {f : E → F}
variable {f' : E →L[𝕜] F}
variable {x : E}
variable {s : Set E}
section CLMCompApply
/-! ### Derivative of the pointwise composition/application of continuous linear maps -/
variable {H : Type*} [NormedAddCommGroup H] [NormedSpace 𝕜 H] {c : E → G →L[𝕜] H}
{c' : E →L[𝕜] G →L[𝕜] H} {d : E → F →L[𝕜] G} {d' : E →L[𝕜] F →L[𝕜] G} {u : E → G} {u' : E →L[𝕜] G}
#adaptation_note /-- https://github.com/leanprover/lean4/pull/6024
split proof term into steps to solve unification issues. -/
@[fun_prop]
theorem HasStrictFDerivAt.clm_comp (hc : HasStrictFDerivAt c c' x) (hd : HasStrictFDerivAt d d' x) :
HasStrictFDerivAt (fun y => (c y).comp (d y))
((compL 𝕜 F G H (c x)).comp d' + ((compL 𝕜 F G H).flip (d x)).comp c') x := by
have := isBoundedBilinearMap_comp.hasStrictFDerivAt (c x, d x)
have := this.comp x (hc.prodMk hd)
exact this
#adaptation_note /-- https://github.com/leanprover/lean4/pull/6024
`by exact` to solve unification issues. -/
@[fun_prop]
theorem HasFDerivWithinAt.clm_comp (hc : HasFDerivWithinAt c c' s x)
(hd : HasFDerivWithinAt d d' s x) :
HasFDerivWithinAt (fun y => (c y).comp (d y))
((compL 𝕜 F G H (c x)).comp d' + ((compL 𝕜 F G H).flip (d x)).comp c') s x := by
exact (isBoundedBilinearMap_comp.hasFDerivAt (c x, d x) :).comp_hasFDerivWithinAt x (hc.prodMk hd)
#adaptation_note /-- https://github.com/leanprover/lean4/pull/6024
`by exact` to solve unification issues. -/
@[fun_prop]
theorem HasFDerivAt.clm_comp (hc : HasFDerivAt c c' x) (hd : HasFDerivAt d d' x) :
HasFDerivAt (fun y => (c y).comp (d y))
((compL 𝕜 F G H (c x)).comp d' + ((compL 𝕜 F G H).flip (d x)).comp c') x := by
exact (isBoundedBilinearMap_comp.hasFDerivAt (c x, d x) :).comp x <| hc.prodMk hd
@[fun_prop]
theorem DifferentiableWithinAt.clm_comp (hc : DifferentiableWithinAt 𝕜 c s x)
(hd : DifferentiableWithinAt 𝕜 d s x) :
DifferentiableWithinAt 𝕜 (fun y => (c y).comp (d y)) s x :=
(hc.hasFDerivWithinAt.clm_comp hd.hasFDerivWithinAt).differentiableWithinAt
@[fun_prop]
theorem DifferentiableAt.clm_comp (hc : DifferentiableAt 𝕜 c x) (hd : DifferentiableAt 𝕜 d x) :
DifferentiableAt 𝕜 (fun y => (c y).comp (d y)) x :=
(hc.hasFDerivAt.clm_comp hd.hasFDerivAt).differentiableAt
@[fun_prop]
theorem DifferentiableOn.clm_comp (hc : DifferentiableOn 𝕜 c s) (hd : DifferentiableOn 𝕜 d s) :
DifferentiableOn 𝕜 (fun y => (c y).comp (d y)) s := fun x hx => (hc x hx).clm_comp (hd x hx)
@[fun_prop]
theorem Differentiable.clm_comp (hc : Differentiable 𝕜 c) (hd : Differentiable 𝕜 d) :
Differentiable 𝕜 fun y => (c y).comp (d y) := fun x => (hc x).clm_comp (hd x)
theorem fderivWithin_clm_comp (hxs : UniqueDiffWithinAt 𝕜 s x) (hc : DifferentiableWithinAt 𝕜 c s x)
(hd : DifferentiableWithinAt 𝕜 d s x) :
fderivWithin 𝕜 (fun y => (c y).comp (d y)) s x =
(compL 𝕜 F G H (c x)).comp (fderivWithin 𝕜 d s x) +
((compL 𝕜 F G H).flip (d x)).comp (fderivWithin 𝕜 c s x) :=
(hc.hasFDerivWithinAt.clm_comp hd.hasFDerivWithinAt).fderivWithin hxs
theorem fderiv_clm_comp (hc : DifferentiableAt 𝕜 c x) (hd : DifferentiableAt 𝕜 d x) :
fderiv 𝕜 (fun y => (c y).comp (d y)) x =
(compL 𝕜 F G H (c x)).comp (fderiv 𝕜 d x) +
((compL 𝕜 F G H).flip (d x)).comp (fderiv 𝕜 c x) :=
(hc.hasFDerivAt.clm_comp hd.hasFDerivAt).fderiv
@[fun_prop]
theorem HasStrictFDerivAt.clm_apply (hc : HasStrictFDerivAt c c' x)
(hu : HasStrictFDerivAt u u' x) :
HasStrictFDerivAt (fun y => (c y) (u y)) ((c x).comp u' + c'.flip (u x)) x :=
(isBoundedBilinearMap_apply.hasStrictFDerivAt (c x, u x)).comp x (hc.prodMk hu)
#adaptation_note /-- https://github.com/leanprover/lean4/pull/6024
`by exact` to solve unification issues. -/
@[fun_prop]
theorem HasFDerivWithinAt.clm_apply (hc : HasFDerivWithinAt c c' s x)
(hu : HasFDerivWithinAt u u' s x) :
HasFDerivWithinAt (fun y => (c y) (u y)) ((c x).comp u' + c'.flip (u x)) s x := by
exact (isBoundedBilinearMap_apply.hasFDerivAt (c x, u x) :).comp_hasFDerivWithinAt x
(hc.prodMk hu)
#adaptation_note /-- https://github.com/leanprover/lean4/pull/6024
`by exact` to solve unification issues. -/
@[fun_prop]
theorem HasFDerivAt.clm_apply (hc : HasFDerivAt c c' x) (hu : HasFDerivAt u u' x) :
HasFDerivAt (fun y => (c y) (u y)) ((c x).comp u' + c'.flip (u x)) x := by
exact (isBoundedBilinearMap_apply.hasFDerivAt (c x, u x) :).comp x (hc.prodMk hu)
@[fun_prop]
theorem DifferentiableWithinAt.clm_apply (hc : DifferentiableWithinAt 𝕜 c s x)
(hu : DifferentiableWithinAt 𝕜 u s x) : DifferentiableWithinAt 𝕜 (fun y => (c y) (u y)) s x :=
(hc.hasFDerivWithinAt.clm_apply hu.hasFDerivWithinAt).differentiableWithinAt
@[fun_prop]
theorem DifferentiableAt.clm_apply (hc : DifferentiableAt 𝕜 c x) (hu : DifferentiableAt 𝕜 u x) :
DifferentiableAt 𝕜 (fun y => (c y) (u y)) x :=
(hc.hasFDerivAt.clm_apply hu.hasFDerivAt).differentiableAt
@[fun_prop]
theorem DifferentiableOn.clm_apply (hc : DifferentiableOn 𝕜 c s) (hu : DifferentiableOn 𝕜 u s) :
DifferentiableOn 𝕜 (fun y => (c y) (u y)) s := fun x hx => (hc x hx).clm_apply (hu x hx)
@[fun_prop]
theorem Differentiable.clm_apply (hc : Differentiable 𝕜 c) (hu : Differentiable 𝕜 u) :
Differentiable 𝕜 fun y => (c y) (u y) := fun x => (hc x).clm_apply (hu x)
theorem fderivWithin_clm_apply (hxs : UniqueDiffWithinAt 𝕜 s x)
(hc : DifferentiableWithinAt 𝕜 c s x) (hu : DifferentiableWithinAt 𝕜 u s x) :
fderivWithin 𝕜 (fun y => (c y) (u y)) s x =
(c x).comp (fderivWithin 𝕜 u s x) + (fderivWithin 𝕜 c s x).flip (u x) :=
(hc.hasFDerivWithinAt.clm_apply hu.hasFDerivWithinAt).fderivWithin hxs
theorem fderiv_clm_apply (hc : DifferentiableAt 𝕜 c x) (hu : DifferentiableAt 𝕜 u x) :
fderiv 𝕜 (fun y => (c y) (u y)) x = (c x).comp (fderiv 𝕜 u x) + (fderiv 𝕜 c x).flip (u x) :=
(hc.hasFDerivAt.clm_apply hu.hasFDerivAt).fderiv
end CLMCompApply
section ContinuousMultilinearApplyConst
/-! ### Derivative of the application of continuous multilinear maps to a constant -/
variable {ι : Type*} [Fintype ι]
{M : ι → Type*} [∀ i, NormedAddCommGroup (M i)] [∀ i, NormedSpace 𝕜 (M i)]
{H : Type*} [NormedAddCommGroup H] [NormedSpace 𝕜 H]
{c : E → ContinuousMultilinearMap 𝕜 M H}
{c' : E →L[𝕜] ContinuousMultilinearMap 𝕜 M H}
@[fun_prop]
theorem HasStrictFDerivAt.continuousMultilinear_apply_const (hc : HasStrictFDerivAt c c' x)
(u : ∀ i, M i) : HasStrictFDerivAt (fun y ↦ (c y) u) (c'.flipMultilinear u) x :=
(ContinuousMultilinearMap.apply 𝕜 M H u).hasStrictFDerivAt.comp x hc
@[fun_prop]
theorem HasFDerivWithinAt.continuousMultilinear_apply_const (hc : HasFDerivWithinAt c c' s x)
(u : ∀ i, M i) :
HasFDerivWithinAt (fun y ↦ (c y) u) (c'.flipMultilinear u) s x :=
(ContinuousMultilinearMap.apply 𝕜 M H u).hasFDerivAt.comp_hasFDerivWithinAt x hc
@[fun_prop]
theorem HasFDerivAt.continuousMultilinear_apply_const (hc : HasFDerivAt c c' x) (u : ∀ i, M i) :
HasFDerivAt (fun y ↦ (c y) u) (c'.flipMultilinear u) x :=
(ContinuousMultilinearMap.apply 𝕜 M H u).hasFDerivAt.comp x hc
@[fun_prop]
theorem DifferentiableWithinAt.continuousMultilinear_apply_const
(hc : DifferentiableWithinAt 𝕜 c s x) (u : ∀ i, M i) :
DifferentiableWithinAt 𝕜 (fun y ↦ (c y) u) s x :=
(hc.hasFDerivWithinAt.continuousMultilinear_apply_const u).differentiableWithinAt
@[fun_prop]
theorem DifferentiableAt.continuousMultilinear_apply_const (hc : DifferentiableAt 𝕜 c x)
(u : ∀ i, M i) :
DifferentiableAt 𝕜 (fun y ↦ (c y) u) x :=
(hc.hasFDerivAt.continuousMultilinear_apply_const u).differentiableAt
@[fun_prop]
theorem DifferentiableOn.continuousMultilinear_apply_const (hc : DifferentiableOn 𝕜 c s)
(u : ∀ i, M i) : DifferentiableOn 𝕜 (fun y ↦ (c y) u) s :=
fun x hx ↦ (hc x hx).continuousMultilinear_apply_const u
@[fun_prop]
theorem Differentiable.continuousMultilinear_apply_const (hc : Differentiable 𝕜 c) (u : ∀ i, M i) :
Differentiable 𝕜 fun y ↦ (c y) u := fun x ↦ (hc x).continuousMultilinear_apply_const u
theorem fderivWithin_continuousMultilinear_apply_const (hxs : UniqueDiffWithinAt 𝕜 s x)
(hc : DifferentiableWithinAt 𝕜 c s x) (u : ∀ i, M i) :
fderivWithin 𝕜 (fun y ↦ (c y) u) s x = ((fderivWithin 𝕜 c s x).flipMultilinear u) :=
(hc.hasFDerivWithinAt.continuousMultilinear_apply_const u).fderivWithin hxs
theorem fderiv_continuousMultilinear_apply_const (hc : DifferentiableAt 𝕜 c x) (u : ∀ i, M i) :
(fderiv 𝕜 (fun y ↦ (c y) u) x) = (fderiv 𝕜 c x).flipMultilinear u :=
(hc.hasFDerivAt.continuousMultilinear_apply_const u).fderiv
/-- Application of a `ContinuousMultilinearMap` to a constant commutes with `fderivWithin`. -/
theorem fderivWithin_continuousMultilinear_apply_const_apply (hxs : UniqueDiffWithinAt 𝕜 s x)
(hc : DifferentiableWithinAt 𝕜 c s x) (u : ∀ i, M i) (m : E) :
(fderivWithin 𝕜 (fun y ↦ (c y) u) s x) m = (fderivWithin 𝕜 c s x) m u := by
simp [fderivWithin_continuousMultilinear_apply_const hxs hc]
/-- Application of a `ContinuousMultilinearMap` to a constant commutes with `fderiv`. -/
theorem fderiv_continuousMultilinear_apply_const_apply (hc : DifferentiableAt 𝕜 c x)
(u : ∀ i, M i) (m : E) :
(fderiv 𝕜 (fun y ↦ (c y) u) x) m = (fderiv 𝕜 c x) m u := by
simp [fderiv_continuousMultilinear_apply_const hc]
end ContinuousMultilinearApplyConst
section SMul
/-! ### Derivative of the product of a scalar-valued function and a vector-valued function
If `c` is a differentiable scalar-valued function and `f` is a differentiable vector-valued
function, then `fun x ↦ c x • f x` is differentiable as well. Lemmas in this section works for
function `c` taking values in the base field, as well as in a normed algebra over the base
field: e.g., they work for `c : E → ℂ` and `f : E → F` provided that `F` is a complex
normed vector space.
-/
variable {𝕜' : Type*} [NontriviallyNormedField 𝕜'] [NormedAlgebra 𝕜 𝕜'] [NormedSpace 𝕜' F]
[IsScalarTower 𝕜 𝕜' F]
variable {c : E → 𝕜'} {c' : E →L[𝕜] 𝕜'}
@[fun_prop]
theorem HasStrictFDerivAt.smul (hc : HasStrictFDerivAt c c' x) (hf : HasStrictFDerivAt f f' x) :
HasStrictFDerivAt (fun y => c y • f y) (c x • f' + c'.smulRight (f x)) x :=
(isBoundedBilinearMap_smul.hasStrictFDerivAt (c x, f x)).comp x <| hc.prodMk hf
#adaptation_note /-- https://github.com/leanprover/lean4/pull/6024
`by exact` to solve unification issues. -/
@[fun_prop]
theorem HasFDerivWithinAt.smul (hc : HasFDerivWithinAt c c' s x) (hf : HasFDerivWithinAt f f' s x) :
HasFDerivWithinAt (fun y => c y • f y) (c x • f' + c'.smulRight (f x)) s x := by
exact (isBoundedBilinearMap_smul.hasFDerivAt (𝕜 := 𝕜) (c x, f x) :).comp_hasFDerivWithinAt x <|
hc.prodMk hf
#adaptation_note /-- https://github.com/leanprover/lean4/pull/6024
`by exact` to solve unification issues. -/
@[fun_prop]
theorem HasFDerivAt.smul (hc : HasFDerivAt c c' x) (hf : HasFDerivAt f f' x) :
HasFDerivAt (fun y => c y • f y) (c x • f' + c'.smulRight (f x)) x := by
exact (isBoundedBilinearMap_smul.hasFDerivAt (𝕜 := 𝕜) (c x, f x) :).comp x <| hc.prodMk hf
@[fun_prop]
theorem DifferentiableWithinAt.smul (hc : DifferentiableWithinAt 𝕜 c s x)
(hf : DifferentiableWithinAt 𝕜 f s x) : DifferentiableWithinAt 𝕜 (fun y => c y • f y) s x :=
(hc.hasFDerivWithinAt.smul hf.hasFDerivWithinAt).differentiableWithinAt
@[simp, fun_prop]
theorem DifferentiableAt.smul (hc : DifferentiableAt 𝕜 c x) (hf : DifferentiableAt 𝕜 f x) :
DifferentiableAt 𝕜 (fun y => c y • f y) x :=
(hc.hasFDerivAt.smul hf.hasFDerivAt).differentiableAt
@[fun_prop]
theorem DifferentiableOn.smul (hc : DifferentiableOn 𝕜 c s) (hf : DifferentiableOn 𝕜 f s) :
DifferentiableOn 𝕜 (fun y => c y • f y) s := fun x hx => (hc x hx).smul (hf x hx)
@[simp, fun_prop]
theorem Differentiable.smul (hc : Differentiable 𝕜 c) (hf : Differentiable 𝕜 f) :
Differentiable 𝕜 fun y => c y • f y := fun x => (hc x).smul (hf x)
theorem fderivWithin_smul (hxs : UniqueDiffWithinAt 𝕜 s x) (hc : DifferentiableWithinAt 𝕜 c s x)
(hf : DifferentiableWithinAt 𝕜 f s x) :
fderivWithin 𝕜 (fun y => c y • f y) s x =
c x • fderivWithin 𝕜 f s x + (fderivWithin 𝕜 c s x).smulRight (f x) :=
(hc.hasFDerivWithinAt.smul hf.hasFDerivWithinAt).fderivWithin hxs
theorem fderiv_smul (hc : DifferentiableAt 𝕜 c x) (hf : DifferentiableAt 𝕜 f x) :
fderiv 𝕜 (fun y => c y • f y) x = c x • fderiv 𝕜 f x + (fderiv 𝕜 c x).smulRight (f x) :=
(hc.hasFDerivAt.smul hf.hasFDerivAt).fderiv
@[fun_prop]
theorem HasStrictFDerivAt.smul_const (hc : HasStrictFDerivAt c c' x) (f : F) :
HasStrictFDerivAt (fun y => c y • f) (c'.smulRight f) x := by
simpa only [smul_zero, zero_add] using hc.smul (hasStrictFDerivAt_const f x)
@[fun_prop]
theorem HasFDerivWithinAt.smul_const (hc : HasFDerivWithinAt c c' s x) (f : F) :
HasFDerivWithinAt (fun y => c y • f) (c'.smulRight f) s x := by
simpa only [smul_zero, zero_add] using hc.smul (hasFDerivWithinAt_const f x s)
@[fun_prop]
theorem HasFDerivAt.smul_const (hc : HasFDerivAt c c' x) (f : F) :
HasFDerivAt (fun y => c y • f) (c'.smulRight f) x := by
simpa only [smul_zero, zero_add] using hc.smul (hasFDerivAt_const f x)
@[fun_prop]
| theorem DifferentiableWithinAt.smul_const (hc : DifferentiableWithinAt 𝕜 c s x) (f : F) :
DifferentiableWithinAt 𝕜 (fun y => c y • f) s x :=
(hc.hasFDerivWithinAt.smul_const f).differentiableWithinAt
| Mathlib/Analysis/Calculus/FDeriv/Mul.lean | 307 | 309 |
/-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.FiniteMeasure
import Mathlib.MeasureTheory.Integral.Average
import Mathlib.MeasureTheory.Measure.Prod
/-!
# Probability measures
This file defines the type of probability measures on a given measurable space. When the underlying
space has a topology and the measurable space structure (sigma algebra) is finer than the Borel
sigma algebra, then the type of probability measures is equipped with the topology of convergence
in distribution (weak convergence of measures). The topology of convergence in distribution is the
coarsest topology w.r.t. which for every bounded continuous `ℝ≥0`-valued random variable `X`, the
expected value of `X` depends continuously on the choice of probability measure. This is a special
case of the topology of weak convergence of finite measures.
## Main definitions
The main definitions are
* the type `MeasureTheory.ProbabilityMeasure Ω` with the topology of convergence in
distribution (a.k.a. convergence in law, weak convergence of measures);
* `MeasureTheory.ProbabilityMeasure.toFiniteMeasure`: Interpret a probability measure as
a finite measure;
* `MeasureTheory.FiniteMeasure.normalize`: Normalize a finite measure to a probability measure
(returns junk for the zero measure).
* `MeasureTheory.ProbabilityMeasure.map`: The push-forward `f* μ` of a probability measure
`μ` on `Ω` along a measurable function `f : Ω → Ω'`.
## Main results
* `MeasureTheory.ProbabilityMeasure.tendsto_iff_forall_integral_tendsto`: Convergence of
probability measures is characterized by the convergence of expected values of all bounded
continuous random variables. This shows that the chosen definition of topology coincides with
the common textbook definition of convergence in distribution, i.e., weak convergence of
measures. A similar characterization by the convergence of expected values (in the
`MeasureTheory.lintegral` sense) of all bounded continuous nonnegative random variables is
`MeasureTheory.ProbabilityMeasure.tendsto_iff_forall_lintegral_tendsto`.
* `MeasureTheory.FiniteMeasure.tendsto_normalize_iff_tendsto`: The convergence of finite
measures to a nonzero limit is characterized by the convergence of the probability-normalized
versions and of the total masses.
* `MeasureTheory.ProbabilityMeasure.continuous_map`: For a continuous function `f : Ω → Ω'`, the
push-forward of probability measures `f* : ProbabilityMeasure Ω → ProbabilityMeasure Ω'` is
continuous.
* `MeasureTheory.ProbabilityMeasure.t2Space`: The topology of convergence in distribution is
Hausdorff on Borel spaces where indicators of closed sets have continuous decreasing
approximating sequences (in particular on any pseudo-metrizable spaces).
TODO:
* Probability measures form a convex space.
## Implementation notes
The topology of convergence in distribution on `MeasureTheory.ProbabilityMeasure Ω` is inherited
weak convergence of finite measures via the mapping
`MeasureTheory.ProbabilityMeasure.toFiniteMeasure`.
Like `MeasureTheory.FiniteMeasure Ω`, the implementation of `MeasureTheory.ProbabilityMeasure Ω`
is directly as a subtype of `MeasureTheory.Measure Ω`, and the coercion to a function is the
composition `ENNReal.toNNReal` and the coercion to function of `MeasureTheory.Measure Ω`.
## References
* [Billingsley, *Convergence of probability measures*][billingsley1999]
## Tags
convergence in distribution, convergence in law, weak convergence of measures, probability measure
-/
noncomputable section
open Set Filter BoundedContinuousFunction Topology
open scoped ENNReal NNReal
namespace MeasureTheory
section ProbabilityMeasure
/-! ### Probability measures
In this section we define the type of probability measures on a measurable space `Ω`, denoted by
`MeasureTheory.ProbabilityMeasure Ω`.
If `Ω` is moreover a topological space and the sigma algebra on `Ω` is finer than the Borel sigma
algebra (i.e. `[OpensMeasurableSpace Ω]`), then `MeasureTheory.ProbabilityMeasure Ω` is
equipped with the topology of weak convergence of measures. Since every probability measure is a
finite measure, this is implemented as the induced topology from the mapping
`MeasureTheory.ProbabilityMeasure.toFiniteMeasure`.
-/
/-- Probability measures are defined as the subtype of measures that have the property of being
probability measures (i.e., their total mass is one). -/
def ProbabilityMeasure (Ω : Type*) [MeasurableSpace Ω] : Type _ :=
{ μ : Measure Ω // IsProbabilityMeasure μ }
namespace ProbabilityMeasure
variable {Ω : Type*} [MeasurableSpace Ω]
instance [Inhabited Ω] : Inhabited (ProbabilityMeasure Ω) :=
⟨⟨Measure.dirac default, Measure.dirac.isProbabilityMeasure⟩⟩
/-- Coercion from `MeasureTheory.ProbabilityMeasure Ω` to `MeasureTheory.Measure Ω`. -/
@[coe]
def toMeasure : ProbabilityMeasure Ω → Measure Ω := Subtype.val
/-- A probability measure can be interpreted as a measure. -/
instance : Coe (ProbabilityMeasure Ω) (MeasureTheory.Measure Ω) := { coe := toMeasure }
instance (μ : ProbabilityMeasure Ω) : IsProbabilityMeasure (μ : Measure Ω) :=
μ.prop
@[simp, norm_cast] lemma coe_mk (μ : Measure Ω) (hμ) : toMeasure ⟨μ, hμ⟩ = μ := rfl
@[simp]
theorem val_eq_to_measure (ν : ProbabilityMeasure Ω) : ν.val = (ν : Measure Ω) := rfl
theorem toMeasure_injective : Function.Injective ((↑) : ProbabilityMeasure Ω → Measure Ω) :=
Subtype.coe_injective
instance instFunLike : FunLike (ProbabilityMeasure Ω) (Set Ω) ℝ≥0 where
coe μ s := ((μ : Measure Ω) s).toNNReal
coe_injective' μ ν h := toMeasure_injective <| Measure.ext fun s _ ↦ by
simpa [ENNReal.toNNReal_eq_toNNReal_iff, measure_ne_top] using congr_fun h s
lemma coeFn_def (μ : ProbabilityMeasure Ω) : μ = fun s ↦ ((μ : Measure Ω) s).toNNReal := rfl
lemma coeFn_mk (μ : Measure Ω) (hμ) :
DFunLike.coe (F := ProbabilityMeasure Ω) ⟨μ, hμ⟩ = fun s ↦ (μ s).toNNReal := rfl
@[simp, norm_cast]
lemma mk_apply (μ : Measure Ω) (hμ) (s : Set Ω) :
DFunLike.coe (F := ProbabilityMeasure Ω) ⟨μ, hμ⟩ s = (μ s).toNNReal := rfl
@[simp, norm_cast]
theorem coeFn_univ (ν : ProbabilityMeasure Ω) : ν univ = 1 :=
congr_arg ENNReal.toNNReal ν.prop.measure_univ
theorem coeFn_univ_ne_zero (ν : ProbabilityMeasure Ω) : ν univ ≠ 0 := by
simp only [coeFn_univ, Ne, one_ne_zero, not_false_iff]
/-- A probability measure can be interpreted as a finite measure. -/
def toFiniteMeasure (μ : ProbabilityMeasure Ω) : FiniteMeasure Ω := ⟨μ, inferInstance⟩
@[simp] lemma coeFn_toFiniteMeasure (μ : ProbabilityMeasure Ω) : ⇑μ.toFiniteMeasure = μ := rfl
lemma toFiniteMeasure_apply (μ : ProbabilityMeasure Ω) (s : Set Ω) :
μ.toFiniteMeasure s = μ s := rfl
@[simp]
theorem toMeasure_comp_toFiniteMeasure_eq_toMeasure (ν : ProbabilityMeasure Ω) :
(ν.toFiniteMeasure : Measure Ω) = (ν : Measure Ω) := rfl
@[simp]
theorem coeFn_comp_toFiniteMeasure_eq_coeFn (ν : ProbabilityMeasure Ω) :
(ν.toFiniteMeasure : Set Ω → ℝ≥0) = (ν : Set Ω → ℝ≥0) := rfl
@[simp]
theorem toFiniteMeasure_apply_eq_apply (ν : ProbabilityMeasure Ω) (s : Set Ω) :
ν.toFiniteMeasure s = ν s := rfl
@[simp]
theorem ennreal_coeFn_eq_coeFn_toMeasure (ν : ProbabilityMeasure Ω) (s : Set Ω) :
(ν s : ℝ≥0∞) = (ν : Measure Ω) s := by
rw [← coeFn_comp_toFiniteMeasure_eq_coeFn, FiniteMeasure.ennreal_coeFn_eq_coeFn_toMeasure,
toMeasure_comp_toFiniteMeasure_eq_toMeasure]
@[simp]
theorem null_iff_toMeasure_null (ν : ProbabilityMeasure Ω) (s : Set Ω) :
ν s = 0 ↔ (ν : Measure Ω) s = 0 :=
⟨fun h ↦ by rw [← ennreal_coeFn_eq_coeFn_toMeasure, h, ENNReal.coe_zero],
fun h ↦ congrArg ENNReal.toNNReal h⟩
theorem apply_mono (μ : ProbabilityMeasure Ω) {s₁ s₂ : Set Ω} (h : s₁ ⊆ s₂) : μ s₁ ≤ μ s₂ := by
rw [← coeFn_comp_toFiniteMeasure_eq_coeFn]
exact MeasureTheory.FiniteMeasure.apply_mono _ h
/-- Continuity from below: the measure of the union of a sequence of (not necessarily measurable)
sets is the limit of the measures of the partial unions. -/
protected lemma tendsto_measure_iUnion_accumulate {ι : Type*} [Preorder ι]
[IsCountablyGenerated (atTop : Filter ι)] {μ : ProbabilityMeasure Ω} {f : ι → Set Ω} :
Tendsto (fun i ↦ μ (Accumulate f i)) atTop (𝓝 (μ (⋃ i, f i))) := by
simpa [← ennreal_coeFn_eq_coeFn_toMeasure, ENNReal.tendsto_coe]
using tendsto_measure_iUnion_accumulate (μ := μ.toMeasure)
@[simp] theorem apply_le_one (μ : ProbabilityMeasure Ω) (s : Set Ω) : μ s ≤ 1 := by
simpa using apply_mono μ (subset_univ s)
theorem nonempty (μ : ProbabilityMeasure Ω) : Nonempty Ω := by
by_contra maybe_empty
have zero : (μ : Measure Ω) univ = 0 := by
rw [univ_eq_empty_iff.mpr (not_nonempty_iff.mp maybe_empty), measure_empty]
rw [measure_univ] at zero
exact zero_ne_one zero.symm
@[ext]
theorem eq_of_forall_toMeasure_apply_eq (μ ν : ProbabilityMeasure Ω)
(h : ∀ s : Set Ω, MeasurableSet s → (μ : Measure Ω) s = (ν : Measure Ω) s) : μ = ν := by
apply toMeasure_injective
ext1 s s_mble
exact h s s_mble
theorem eq_of_forall_apply_eq (μ ν : ProbabilityMeasure Ω)
(h : ∀ s : Set Ω, MeasurableSet s → μ s = ν s) : μ = ν := by
ext1 s s_mble
simpa [ennreal_coeFn_eq_coeFn_toMeasure] using congr_arg ((↑) : ℝ≥0 → ℝ≥0∞) (h s s_mble)
@[simp]
theorem mass_toFiniteMeasure (μ : ProbabilityMeasure Ω) : μ.toFiniteMeasure.mass = 1 :=
μ.coeFn_univ
theorem toFiniteMeasure_nonzero (μ : ProbabilityMeasure Ω) : μ.toFiniteMeasure ≠ 0 := by
simp [← FiniteMeasure.mass_nonzero_iff]
/-- The type of probability measures is a measurable space when equipped with the Giry monad. -/
instance : MeasurableSpace (ProbabilityMeasure Ω) := Subtype.instMeasurableSpace
lemma measurableSet_isProbabilityMeasure :
MeasurableSet { μ : Measure Ω | IsProbabilityMeasure μ } := by
suffices { μ : Measure Ω | IsProbabilityMeasure μ } = (fun μ => μ univ) ⁻¹' {1} by
rw [this]
exact Measure.measurable_coe MeasurableSet.univ (measurableSet_singleton 1)
ext _
apply isProbabilityMeasure_iff
/-- The monoidal product is a measurable function from the product of probability spaces over
`α` and `β` into the type of probability spaces over `α × β`. Lemma 4.1 of [A synthetic approach to
Markov kernels, conditional independence and theorems on sufficient statistics][fritz2020]. -/
theorem measurable_prod {α β : Type*} [MeasurableSpace α] [MeasurableSpace β] :
Measurable (fun (μ : ProbabilityMeasure α × ProbabilityMeasure β)
↦ μ.1.toMeasure.prod μ.2.toMeasure) := by
apply Measurable.measure_of_isPiSystem_of_isProbabilityMeasure generateFrom_prod.symm
isPiSystem_prod _
simp only [mem_image2, mem_setOf_eq, forall_exists_index, and_imp]
intros _ u Hu v Hv Heq
simp_rw [← Heq, Measure.prod_prod]
apply Measurable.mul
· exact (Measure.measurable_coe Hu).comp (measurable_subtype_coe.comp measurable_fst)
· exact (Measure.measurable_coe Hv).comp (measurable_subtype_coe.comp measurable_snd)
section convergence_in_distribution
variable [TopologicalSpace Ω] [OpensMeasurableSpace Ω]
theorem testAgainstNN_lipschitz (μ : ProbabilityMeasure Ω) :
LipschitzWith 1 fun f : Ω →ᵇ ℝ≥0 ↦ μ.toFiniteMeasure.testAgainstNN f :=
μ.mass_toFiniteMeasure ▸ μ.toFiniteMeasure.testAgainstNN_lipschitz
/-- The topology of weak convergence on `MeasureTheory.ProbabilityMeasure Ω`. This is inherited
(induced) from the topology of weak convergence of finite measures via the inclusion
`MeasureTheory.ProbabilityMeasure.toFiniteMeasure`. -/
instance : TopologicalSpace (ProbabilityMeasure Ω) :=
TopologicalSpace.induced toFiniteMeasure inferInstance
theorem toFiniteMeasure_continuous :
Continuous (toFiniteMeasure : ProbabilityMeasure Ω → FiniteMeasure Ω) :=
continuous_induced_dom
/-- Probability measures yield elements of the `WeakDual` of bounded continuous nonnegative
functions via `MeasureTheory.FiniteMeasure.testAgainstNN`, i.e., integration. -/
def toWeakDualBCNN : ProbabilityMeasure Ω → WeakDual ℝ≥0 (Ω →ᵇ ℝ≥0) :=
FiniteMeasure.toWeakDualBCNN ∘ toFiniteMeasure
@[simp]
theorem coe_toWeakDualBCNN (μ : ProbabilityMeasure Ω) :
⇑μ.toWeakDualBCNN = μ.toFiniteMeasure.testAgainstNN := rfl
@[simp]
theorem toWeakDualBCNN_apply (μ : ProbabilityMeasure Ω) (f : Ω →ᵇ ℝ≥0) :
μ.toWeakDualBCNN f = (∫⁻ ω, f ω ∂(μ : Measure Ω)).toNNReal := rfl
theorem toWeakDualBCNN_continuous : Continuous fun μ : ProbabilityMeasure Ω ↦ μ.toWeakDualBCNN :=
FiniteMeasure.toWeakDualBCNN_continuous.comp toFiniteMeasure_continuous
/- Integration of (nonnegative bounded continuous) test functions against Borel probability
measures depends continuously on the measure. -/
theorem continuous_testAgainstNN_eval (f : Ω →ᵇ ℝ≥0) :
Continuous fun μ : ProbabilityMeasure Ω ↦ μ.toFiniteMeasure.testAgainstNN f :=
(FiniteMeasure.continuous_testAgainstNN_eval f).comp toFiniteMeasure_continuous
-- The canonical mapping from probability measures to finite measures is an embedding.
theorem toFiniteMeasure_isEmbedding (Ω : Type*) [MeasurableSpace Ω] [TopologicalSpace Ω]
[OpensMeasurableSpace Ω] :
IsEmbedding (toFiniteMeasure : ProbabilityMeasure Ω → FiniteMeasure Ω) where
eq_induced := rfl
injective _μ _ν h := Subtype.eq <| congr_arg FiniteMeasure.toMeasure h
@[deprecated (since := "2024-10-26")]
alias toFiniteMeasure_embedding := toFiniteMeasure_isEmbedding
theorem tendsto_nhds_iff_toFiniteMeasure_tendsto_nhds {δ : Type*} (F : Filter δ)
{μs : δ → ProbabilityMeasure Ω} {μ₀ : ProbabilityMeasure Ω} :
Tendsto μs F (𝓝 μ₀) ↔ Tendsto (toFiniteMeasure ∘ μs) F (𝓝 μ₀.toFiniteMeasure) :=
(toFiniteMeasure_isEmbedding Ω).tendsto_nhds_iff
/-- A characterization of weak convergence of probability measures by the condition that the
integrals of every continuous bounded nonnegative function converge to the integral of the function
against the limit measure. -/
theorem tendsto_iff_forall_lintegral_tendsto {γ : Type*} {F : Filter γ}
{μs : γ → ProbabilityMeasure Ω} {μ : ProbabilityMeasure Ω} :
Tendsto μs F (𝓝 μ) ↔
∀ f : Ω →ᵇ ℝ≥0,
Tendsto (fun i ↦ ∫⁻ ω, f ω ∂(μs i : Measure Ω)) F (𝓝 (∫⁻ ω, f ω ∂(μ : Measure Ω))) := by
rw [tendsto_nhds_iff_toFiniteMeasure_tendsto_nhds]
exact FiniteMeasure.tendsto_iff_forall_lintegral_tendsto
/-- The characterization of weak convergence of probability measures by the usual (defining)
condition that the integrals of every continuous bounded function converge to the integral of the
function against the limit measure. -/
theorem tendsto_iff_forall_integral_tendsto {γ : Type*} {F : Filter γ}
{μs : γ → ProbabilityMeasure Ω} {μ : ProbabilityMeasure Ω} :
Tendsto μs F (𝓝 μ) ↔
∀ f : Ω →ᵇ ℝ,
Tendsto (fun i ↦ ∫ ω, f ω ∂(μs i : Measure Ω)) F (𝓝 (∫ ω, f ω ∂(μ : Measure Ω))) := by
simp [tendsto_nhds_iff_toFiniteMeasure_tendsto_nhds,
FiniteMeasure.tendsto_iff_forall_integral_tendsto]
theorem tendsto_iff_forall_integral_rclike_tendsto {γ : Type*} (𝕜 : Type*) [RCLike 𝕜]
{F : Filter γ} {μs : γ → ProbabilityMeasure Ω} {μ : ProbabilityMeasure Ω} :
Tendsto μs F (𝓝 μ) ↔
∀ f : Ω →ᵇ 𝕜,
Tendsto (fun i ↦ ∫ ω, f ω ∂(μs i : Measure Ω)) F (𝓝 (∫ ω, f ω ∂(μ : Measure Ω))) := by
simp [tendsto_nhds_iff_toFiniteMeasure_tendsto_nhds,
FiniteMeasure.tendsto_iff_forall_integral_rclike_tendsto 𝕜]
lemma continuous_integral_boundedContinuousFunction
{α : Type*} [TopologicalSpace α] [MeasurableSpace α] [OpensMeasurableSpace α] (f : α →ᵇ ℝ) :
Continuous fun μ : ProbabilityMeasure α ↦ ∫ x, f x ∂μ := by
rw [continuous_iff_continuousAt]
intro μ
exact continuousAt_of_tendsto_nhds
(ProbabilityMeasure.tendsto_iff_forall_integral_tendsto.mp tendsto_id f)
end convergence_in_distribution -- section
section Hausdorff
variable [TopologicalSpace Ω] [HasOuterApproxClosed Ω] [BorelSpace Ω]
variable (Ω)
/-- On topological spaces where indicators of closed sets have decreasing approximating sequences of
continuous functions (`HasOuterApproxClosed`), the topology of convergence in distribution of Borel
probability measures is Hausdorff (`T2Space`). -/
instance t2Space : T2Space (ProbabilityMeasure Ω) := (toFiniteMeasure_isEmbedding Ω).t2Space
end Hausdorff -- section
end ProbabilityMeasure
-- namespace
end ProbabilityMeasure
-- section
section NormalizeFiniteMeasure
/-! ### Normalization of finite measures to probability measures
This section is about normalizing finite measures to probability measures.
The weak convergence of finite measures to nonzero limit measures is characterized by
the convergence of the total mass and the convergence of the normalized probability
measures.
-/
namespace FiniteMeasure
variable {Ω : Type*} [Nonempty Ω] {m0 : MeasurableSpace Ω} (μ : FiniteMeasure Ω)
/-- Normalize a finite measure so that it becomes a probability measure, i.e., divide by the
total mass. -/
def normalize : ProbabilityMeasure Ω :=
if zero : μ.mass = 0 then ⟨Measure.dirac ‹Nonempty Ω›.some, Measure.dirac.isProbabilityMeasure⟩
else
{ val := ↑(μ.mass⁻¹ • μ)
property := by
refine ⟨?_⟩
simp only [toMeasure_smul, Measure.coe_smul, Pi.smul_apply, Measure.nnreal_smul_coe_apply,
ENNReal.coe_inv zero, ennreal_mass]
rw [← Ne, ← ENNReal.coe_ne_zero, ennreal_mass] at zero
exact ENNReal.inv_mul_cancel zero μ.prop.measure_univ_lt_top.ne }
@[simp]
theorem self_eq_mass_mul_normalize (s : Set Ω) : μ s = μ.mass * μ.normalize s := by
obtain rfl | h := eq_or_ne μ 0
· simp
have mass_nonzero : μ.mass ≠ 0 := by rwa [μ.mass_nonzero_iff]
simp only [normalize, dif_neg mass_nonzero]
simp [ProbabilityMeasure.coe_mk, toMeasure_smul, mul_inv_cancel_left₀ mass_nonzero, coeFn_def]
theorem self_eq_mass_smul_normalize : μ = μ.mass • μ.normalize.toFiniteMeasure := by
apply eq_of_forall_apply_eq
intro s _s_mble
rw [μ.self_eq_mass_mul_normalize s, smul_apply, smul_eq_mul,
ProbabilityMeasure.coeFn_comp_toFiniteMeasure_eq_coeFn]
theorem normalize_eq_of_nonzero (nonzero : μ ≠ 0) (s : Set Ω) : μ.normalize s = μ.mass⁻¹ * μ s := by
simp only [μ.self_eq_mass_mul_normalize, μ.mass_nonzero_iff.mpr nonzero, inv_mul_cancel_left₀,
Ne, not_false_iff]
theorem normalize_eq_inv_mass_smul_of_nonzero (nonzero : μ ≠ 0) :
μ.normalize.toFiniteMeasure = μ.mass⁻¹ • μ := by
| nth_rw 3 [μ.self_eq_mass_smul_normalize]
rw [← smul_assoc]
simp only [μ.mass_nonzero_iff.mpr nonzero, Algebra.id.smul_eq_mul, inv_mul_cancel₀, Ne,
not_false_iff, one_smul]
theorem toMeasure_normalize_eq_of_nonzero (nonzero : μ ≠ 0) :
| Mathlib/MeasureTheory/Measure/ProbabilityMeasure.lean | 408 | 413 |
/-
Copyright (c) 2024 Michael Rothgang. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Michael Rothgang
-/
import Mathlib.LinearAlgebra.AffineSpace.AffineEquiv
import Mathlib.Topology.Algebra.Module.Equiv
import Mathlib.Topology.Algebra.ContinuousAffineMap
/-!
# Continuous affine equivalences
In this file, we define continuous affine equivalences, affine equivalences
which are continuous with continuous inverse.
## Main definitions
* `ContinuousAffineEquiv.refl k P`: the identity map as a `ContinuousAffineEquiv`;
* `e.symm`: the inverse map of a `ContinuousAffineEquiv` as a `ContinuousAffineEquiv`;
* `e.trans e'`: composition of two `ContinuousAffineEquiv`s; note that the order
follows `mathlib`'s `CategoryTheory` convention (apply `e`, then `e'`),
not the convention used in function composition and compositions of bundled morphisms.
* `e.toHomeomorph`: the continuous affine equivalence `e` as a homeomorphism
* `e.toContinuousAffineMap`: the continuous affine equivalence `e` as a continuous affine map
* `ContinuousLinearEquiv.toContinuousAffineEquiv`: a continuous linear equivalence as a continuous
affine equivalence
* `ContinuousAffineEquiv.constVAdd`: `AffineEquiv.constVAdd` as a continuous affine equivalence
## TODO
- equip `ContinuousAffineEquiv k P P` with a `Group` structure,
with multiplication corresponding to composition in `AffineEquiv.group`.
-/
open Function
/-- A continuous affine equivalence, denoted `P₁ ≃ᴬ[k] P₂`, between two affine topological spaces
is an affine equivalence such that forward and inverse maps are continuous. -/
structure ContinuousAffineEquiv (k P₁ P₂ : Type*) {V₁ V₂ : Type*} [Ring k]
[AddCommGroup V₁] [Module k V₁] [AddTorsor V₁ P₁] [TopologicalSpace P₁]
[AddCommGroup V₂] [Module k V₂] [AddTorsor V₂ P₂] [TopologicalSpace P₂]
extends P₁ ≃ᵃ[k] P₂ where
continuous_toFun : Continuous toFun := by continuity
continuous_invFun : Continuous invFun := by continuity
@[inherit_doc]
notation:25 P₁ " ≃ᴬ[" k:25 "] " P₂:0 => ContinuousAffineEquiv k P₁ P₂
variable {k P₁ P₂ P₃ P₄ V₁ V₂ V₃ V₄ : Type*} [Ring k]
[AddCommGroup V₁] [Module k V₁] [AddTorsor V₁ P₁] [TopologicalSpace P₁]
[AddCommGroup V₂] [Module k V₂] [AddTorsor V₂ P₂] [TopologicalSpace P₂]
[AddCommGroup V₃] [Module k V₃] [AddTorsor V₃ P₃] [TopologicalSpace P₃]
[AddCommGroup V₄] [Module k V₄] [AddTorsor V₄ P₄] [TopologicalSpace P₄]
namespace ContinuousAffineEquiv
-- Basic set-up: standard fields, coercions and ext lemmas
section Basic
/-- A continuous affine equivalence is a homeomorphism. -/
def toHomeomorph (e : P₁ ≃ᴬ[k] P₂) : P₁ ≃ₜ P₂ where
__ := e
theorem toAffineEquiv_injective : Injective (toAffineEquiv : (P₁ ≃ᴬ[k] P₂) → P₁ ≃ᵃ[k] P₂) := by
rintro ⟨e, econt, einv_cont⟩ ⟨e', e'cont, e'inv_cont⟩ H
congr
instance instEquivLike : EquivLike (P₁ ≃ᴬ[k] P₂) P₁ P₂ where
coe f := f.toFun
inv f := f.invFun
left_inv f := f.left_inv
right_inv f := f.right_inv
coe_injective' _ _ h _ := toAffineEquiv_injective (DFunLike.coe_injective h)
attribute [coe] ContinuousAffineEquiv.toAffineEquiv
/-- Coerce continuous affine equivalences to affine equivalences. -/
instance coe : Coe (P₁ ≃ᴬ[k] P₂) (P₁ ≃ᵃ[k] P₂) := ⟨toAffineEquiv⟩
theorem coe_injective : Function.Injective ((↑) : (P₁ ≃ᴬ[k] P₂) → P₁ ≃ᵃ[k] P₂) := by
intro e e' H
cases e
congr
|
instance instFunLike : FunLike (P₁ ≃ᴬ[k] P₂) P₁ P₂ where
coe f := f.toAffineEquiv
coe_injective' _ _ h := coe_injective (DFunLike.coe_injective h)
| Mathlib/LinearAlgebra/AffineSpace/ContinuousAffineEquiv.lean | 84 | 87 |
/-
Copyright (c) 2021 Vladimir Goryachev. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yaël Dillies, Vladimir Goryachev, Kyle Miller, Kim Morrison, Eric Rodriguez
-/
import Mathlib.Algebra.Group.Nat.Range
import Mathlib.Data.Set.Finite.Basic
/-!
# Counting on ℕ
This file defines the `count` function, which gives, for any predicate on the natural numbers,
"how many numbers under `k` satisfy this predicate?".
We then prove several expected lemmas about `count`, relating it to the cardinality of other
objects, and helping to evaluate it for specific `k`.
-/
assert_not_imported Mathlib.Dynamics.FixedPoints.Basic
assert_not_exists Ring
open Finset
namespace Nat
variable (p : ℕ → Prop)
section Count
variable [DecidablePred p]
/-- Count the number of naturals `k < n` satisfying `p k`. -/
def count (n : ℕ) : ℕ :=
(List.range n).countP p
@[simp]
theorem count_zero : count p 0 = 0 := by
rw [count, List.range_zero, List.countP, List.countP.go]
/-- A fintype instance for the set relevant to `Nat.count`. Locally an instance in locale `count` -/
def CountSet.fintype (n : ℕ) : Fintype { i // i < n ∧ p i } := by
apply Fintype.ofFinset {x ∈ range n | p x}
intro x
rw [mem_filter, mem_range]
rfl
scoped[Count] attribute [instance] Nat.CountSet.fintype
open Count
theorem count_eq_card_filter_range (n : ℕ) : count p n = #{x ∈ range n | p x} := by
rw [count, List.countP_eq_length_filter]
rfl
/-- `count p n` can be expressed as the cardinality of `{k // k < n ∧ p k}`. -/
theorem count_eq_card_fintype (n : ℕ) : count p n = Fintype.card { k : ℕ // k < n ∧ p k } := by
rw [count_eq_card_filter_range, ← Fintype.card_ofFinset, ← CountSet.fintype]
rfl
theorem count_le {n : ℕ} : count p n ≤ n := by
rw [count_eq_card_filter_range]
exact (card_filter_le _ _).trans_eq (card_range _)
theorem count_succ (n : ℕ) : count p (n + 1) = count p n + if p n then 1 else 0 := by
split_ifs with h <;> simp [count, List.range_succ, h]
@[mono]
theorem count_monotone : Monotone (count p) :=
monotone_nat_of_le_succ fun n ↦ by by_cases h : p n <;> simp [count_succ, h]
theorem count_add (a b : ℕ) : count p (a + b) = count p a + count (fun k ↦ p (a + k)) b := by
have : Disjoint {x ∈ range a | p x} {x ∈ (range b).map <| addLeftEmbedding a | p x} := by
apply disjoint_filter_filter
rw [Finset.disjoint_left]
simp_rw [mem_map, mem_range, addLeftEmbedding_apply]
rintro x hx ⟨c, _, rfl⟩
exact (Nat.le_add_right _ _).not_lt hx
simp_rw [count_eq_card_filter_range, range_add, filter_union, card_union_of_disjoint this,
filter_map, addLeftEmbedding, card_map]
rfl
theorem count_add' (a b : ℕ) : count p (a + b) = count (fun k ↦ p (k + b)) a + count p b := by
rw [add_comm, count_add, add_comm]
simp_rw [add_comm b]
theorem count_one : count p 1 = if p 0 then 1 else 0 := by simp [count_succ]
theorem count_succ' (n : ℕ) :
count p (n + 1) = count (fun k ↦ p (k + 1)) n + if p 0 then 1 else 0 := by
rw [count_add', count_one]
variable {p}
@[simp]
theorem count_lt_count_succ_iff {n : ℕ} : count p n < count p (n + 1) ↔ p n := by
by_cases h : p n <;> simp [count_succ, h]
theorem count_succ_eq_succ_count_iff {n : ℕ} : count p (n + 1) = count p n + 1 ↔ p n := by
by_cases h : p n <;> simp [h, count_succ]
theorem count_succ_eq_count_iff {n : ℕ} : count p (n + 1) = count p n ↔ ¬p n := by
by_cases h : p n <;> simp [h, count_succ]
alias ⟨_, count_succ_eq_succ_count⟩ := count_succ_eq_succ_count_iff
alias ⟨_, count_succ_eq_count⟩ := count_succ_eq_count_iff
theorem lt_of_count_lt_count {a b : ℕ} (h : count p a < count p b) : a < b :=
(count_monotone p).reflect_lt h
theorem count_strict_mono {m n : ℕ} (hm : p m) (hmn : m < n) : count p m < count p n :=
(count_lt_count_succ_iff.2 hm).trans_le <| count_monotone _ (Nat.succ_le_iff.2 hmn)
theorem count_injective {m n : ℕ} (hm : p m) (hn : p n) (heq : count p m = count p n) : m = n := by
by_contra! h : m ≠ n
wlog hmn : m < n
· exact this hn hm heq.symm h.symm (h.lt_or_lt.resolve_left hmn)
· simpa [heq] using count_strict_mono hm hmn
theorem count_le_card (hp : (setOf p).Finite) (n : ℕ) : count p n ≤ #hp.toFinset := by
rw [count_eq_card_filter_range]
exact Finset.card_mono fun x hx ↦ hp.mem_toFinset.2 (mem_filter.1 hx).2
theorem count_lt_card {n : ℕ} (hp : (setOf p).Finite) (hpn : p n) : count p n < #hp.toFinset :=
(count_lt_count_succ_iff.2 hpn).trans_le (count_le_card hp _)
theorem count_iff_forall {n : ℕ} : count p n = n ↔ ∀ n' < n, p n' := by
simpa [count_eq_card_filter_range, card_range, mem_range] using
card_filter_eq_iff (p := p) (s := range n)
alias ⟨_, count_of_forall⟩ := count_iff_forall
@[simp] theorem count_true (n : ℕ) : count (fun _ ↦ True) n = n := count_of_forall fun _ _ ↦ trivial
theorem count_iff_forall_not {n : ℕ} : count p n = 0 ↔ ∀ m < n, ¬p m := by
simpa [count_eq_card_filter_range, mem_range] using
card_filter_eq_zero_iff (p := p) (s := range n)
alias ⟨_, count_of_forall_not⟩ := count_iff_forall_not
@[simp] theorem count_false (n : ℕ) : count (fun _ ↦ False) n = 0 :=
count_of_forall_not fun _ _ ↦ id
variable {q : ℕ → Prop}
variable [DecidablePred q]
theorem count_mono_left {n : ℕ} (hpq : ∀ k, p k → q k) : count p n ≤ count q n := by
simp only [count_eq_card_filter_range]
| exact card_le_card ((range n).monotone_filter_right hpq)
end Count
| Mathlib/Data/Nat/Count.lean | 149 | 151 |
/-
Copyright (c) 2017 Robert Y. Lewis. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Robert Y. Lewis, Keeley Hoek
-/
import Mathlib.Algebra.NeZero
import Mathlib.Data.Int.DivMod
import Mathlib.Logic.Embedding.Basic
import Mathlib.Logic.Equiv.Set
import Mathlib.Tactic.Common
import Mathlib.Tactic.Attr.Register
/-!
# The finite type with `n` elements
`Fin n` is the type whose elements are natural numbers smaller than `n`.
This file expands on the development in the core library.
## Main definitions
### Induction principles
* `finZeroElim` : Elimination principle for the empty set `Fin 0`, generalizes `Fin.elim0`.
Further definitions and eliminators can be found in `Init.Data.Fin.Lemmas`
### Embeddings and isomorphisms
* `Fin.valEmbedding` : coercion to natural numbers as an `Embedding`;
* `Fin.succEmb` : `Fin.succ` as an `Embedding`;
* `Fin.castLEEmb h` : `Fin.castLE` as an `Embedding`, embed `Fin n` into `Fin m`, `h : n ≤ m`;
* `finCongr` : `Fin.cast` as an `Equiv`, equivalence between `Fin n` and `Fin m` when `n = m`;
* `Fin.castAddEmb m` : `Fin.castAdd` as an `Embedding`, embed `Fin n` into `Fin (n+m)`;
* `Fin.castSuccEmb` : `Fin.castSucc` as an `Embedding`, embed `Fin n` into `Fin (n+1)`;
* `Fin.addNatEmb m i` : `Fin.addNat` as an `Embedding`, add `m` on `i` on the right,
generalizes `Fin.succ`;
* `Fin.natAddEmb n i` : `Fin.natAdd` as an `Embedding`, adds `n` on `i` on the left;
### Other casts
* `Fin.divNat i` : divides `i : Fin (m * n)` by `n`;
* `Fin.modNat i` : takes the mod of `i : Fin (m * n)` by `n`;
-/
assert_not_exists Monoid Finset
open Fin Nat Function
attribute [simp] Fin.succ_ne_zero Fin.castSucc_lt_last
/-- Elimination principle for the empty set `Fin 0`, dependent version. -/
def finZeroElim {α : Fin 0 → Sort*} (x : Fin 0) : α x :=
x.elim0
namespace Fin
@[simp] theorem mk_eq_one {n a : Nat} {ha : a < n + 2} :
(⟨a, ha⟩ : Fin (n + 2)) = 1 ↔ a = 1 :=
mk.inj_iff
@[simp] theorem one_eq_mk {n a : Nat} {ha : a < n + 2} :
1 = (⟨a, ha⟩ : Fin (n + 2)) ↔ a = 1 := by
simp [eq_comm]
instance {n : ℕ} : CanLift ℕ (Fin n) Fin.val (· < n) where
prf k hk := ⟨⟨k, hk⟩, rfl⟩
/-- A dependent variant of `Fin.elim0`. -/
def rec0 {α : Fin 0 → Sort*} (i : Fin 0) : α i := absurd i.2 (Nat.not_lt_zero _)
variable {n m : ℕ}
--variable {a b : Fin n} -- this *really* breaks stuff
theorem val_injective : Function.Injective (@Fin.val n) :=
@Fin.eq_of_val_eq n
/-- If you actually have an element of `Fin n`, then the `n` is always positive -/
lemma size_positive : Fin n → 0 < n := Fin.pos
lemma size_positive' [Nonempty (Fin n)] : 0 < n :=
‹Nonempty (Fin n)›.elim Fin.pos
protected theorem prop (a : Fin n) : a.val < n :=
a.2
lemma lt_last_iff_ne_last {a : Fin (n + 1)} : a < last n ↔ a ≠ last n := by
simp [Fin.lt_iff_le_and_ne, le_last]
lemma ne_zero_of_lt {a b : Fin (n + 1)} (hab : a < b) : b ≠ 0 :=
Fin.ne_of_gt <| Fin.lt_of_le_of_lt a.zero_le hab
lemma ne_last_of_lt {a b : Fin (n + 1)} (hab : a < b) : a ≠ last n :=
Fin.ne_of_lt <| Fin.lt_of_lt_of_le hab b.le_last
/-- Equivalence between `Fin n` and `{ i // i < n }`. -/
@[simps apply symm_apply]
def equivSubtype : Fin n ≃ { i // i < n } where
toFun a := ⟨a.1, a.2⟩
invFun a := ⟨a.1, a.2⟩
left_inv := fun ⟨_, _⟩ => rfl
right_inv := fun ⟨_, _⟩ => rfl
section coe
/-!
### coercions and constructions
-/
theorem val_eq_val (a b : Fin n) : (a : ℕ) = b ↔ a = b :=
Fin.ext_iff.symm
theorem ne_iff_vne (a b : Fin n) : a ≠ b ↔ a.1 ≠ b.1 :=
Fin.ext_iff.not
theorem mk_eq_mk {a h a' h'} : @mk n a h = @mk n a' h' ↔ a = a' :=
Fin.ext_iff
-- syntactic tautologies now
/-- Assume `k = l`. If two functions defined on `Fin k` and `Fin l` are equal on each element,
then they coincide (in the heq sense). -/
protected theorem heq_fun_iff {α : Sort*} {k l : ℕ} (h : k = l) {f : Fin k → α} {g : Fin l → α} :
HEq f g ↔ ∀ i : Fin k, f i = g ⟨(i : ℕ), h ▸ i.2⟩ := by
subst h
simp [funext_iff]
/-- Assume `k = l` and `k' = l'`.
If two functions `Fin k → Fin k' → α` and `Fin l → Fin l' → α` are equal on each pair,
then they coincide (in the heq sense). -/
protected theorem heq_fun₂_iff {α : Sort*} {k l k' l' : ℕ} (h : k = l) (h' : k' = l')
{f : Fin k → Fin k' → α} {g : Fin l → Fin l' → α} :
HEq f g ↔ ∀ (i : Fin k) (j : Fin k'), f i j = g ⟨(i : ℕ), h ▸ i.2⟩ ⟨(j : ℕ), h' ▸ j.2⟩ := by
subst h
subst h'
simp [funext_iff]
/-- Two elements of `Fin k` and `Fin l` are heq iff their values in `ℕ` coincide. This requires
`k = l`. For the left implication without this assumption, see `val_eq_val_of_heq`. -/
protected theorem heq_ext_iff {k l : ℕ} (h : k = l) {i : Fin k} {j : Fin l} :
HEq i j ↔ (i : ℕ) = (j : ℕ) := by
subst h
simp [val_eq_val]
end coe
section Order
/-!
### order
-/
theorem le_iff_val_le_val {a b : Fin n} : a ≤ b ↔ (a : ℕ) ≤ b :=
Iff.rfl
/-- `a < b` as natural numbers if and only if `a < b` in `Fin n`. -/
@[norm_cast, simp]
theorem val_fin_lt {n : ℕ} {a b : Fin n} : (a : ℕ) < (b : ℕ) ↔ a < b :=
Iff.rfl
/-- `a ≤ b` as natural numbers if and only if `a ≤ b` in `Fin n`. -/
@[norm_cast, simp]
theorem val_fin_le {n : ℕ} {a b : Fin n} : (a : ℕ) ≤ (b : ℕ) ↔ a ≤ b :=
Iff.rfl
theorem min_val {a : Fin n} : min (a : ℕ) n = a := by simp
theorem max_val {a : Fin n} : max (a : ℕ) n = n := by simp
/-- The inclusion map `Fin n → ℕ` is an embedding. -/
@[simps -fullyApplied apply]
def valEmbedding : Fin n ↪ ℕ :=
⟨val, val_injective⟩
@[simp]
theorem equivSubtype_symm_trans_valEmbedding :
equivSubtype.symm.toEmbedding.trans valEmbedding = Embedding.subtype (· < n) :=
rfl
/-- Use the ordering on `Fin n` for checking recursive definitions.
For example, the following definition is not accepted by the termination checker,
unless we declare the `WellFoundedRelation` instance:
```lean
def factorial {n : ℕ} : Fin n → ℕ
| ⟨0, _⟩ := 1
| ⟨i + 1, hi⟩ := (i + 1) * factorial ⟨i, i.lt_succ_self.trans hi⟩
```
-/
instance {n : ℕ} : WellFoundedRelation (Fin n) :=
measure (val : Fin n → ℕ)
@[deprecated (since := "2025-02-24")]
alias val_zero' := val_zero
/-- `Fin.mk_zero` in `Lean` only applies in `Fin (n + 1)`.
This one instead uses a `NeZero n` typeclass hypothesis.
-/
@[simp]
theorem mk_zero' (n : ℕ) [NeZero n] : (⟨0, pos_of_neZero n⟩ : Fin n) = 0 := rfl
/--
The `Fin.zero_le` in `Lean` only applies in `Fin (n+1)`.
This one instead uses a `NeZero n` typeclass hypothesis.
-/
@[simp]
protected theorem zero_le' [NeZero n] (a : Fin n) : 0 ≤ a :=
Nat.zero_le a.val
@[simp, norm_cast]
theorem val_eq_zero_iff [NeZero n] {a : Fin n} : a.val = 0 ↔ a = 0 := by
rw [Fin.ext_iff, val_zero]
theorem val_ne_zero_iff [NeZero n] {a : Fin n} : a.val ≠ 0 ↔ a ≠ 0 :=
val_eq_zero_iff.not
@[simp, norm_cast]
theorem val_pos_iff [NeZero n] {a : Fin n} : 0 < a.val ↔ 0 < a := by
rw [← val_fin_lt, val_zero]
/--
The `Fin.pos_iff_ne_zero` in `Lean` only applies in `Fin (n+1)`.
This one instead uses a `NeZero n` typeclass hypothesis.
-/
theorem pos_iff_ne_zero' [NeZero n] (a : Fin n) : 0 < a ↔ a ≠ 0 := by
rw [← val_pos_iff, Nat.pos_iff_ne_zero, val_ne_zero_iff]
@[simp] lemma cast_eq_self (a : Fin n) : a.cast rfl = a := rfl
@[simp] theorem cast_eq_zero {k l : ℕ} [NeZero k] [NeZero l]
(h : k = l) (x : Fin k) : Fin.cast h x = 0 ↔ x = 0 := by
simp [← val_eq_zero_iff]
lemma cast_injective {k l : ℕ} (h : k = l) : Injective (Fin.cast h) :=
fun a b hab ↦ by simpa [← val_eq_val] using hab
theorem last_pos' [NeZero n] : 0 < last n := n.pos_of_neZero
theorem one_lt_last [NeZero n] : 1 < last (n + 1) := by
rw [lt_iff_val_lt_val, val_one, val_last, Nat.lt_add_left_iff_pos, Nat.pos_iff_ne_zero]
exact NeZero.ne n
end Order
/-! ### Coercions to `ℤ` and the `fin_omega` tactic. -/
open Int
theorem coe_int_sub_eq_ite {n : Nat} (u v : Fin n) :
((u - v : Fin n) : Int) = if v ≤ u then (u - v : Int) else (u - v : Int) + n := by
rw [Fin.sub_def]
split
· rw [natCast_emod, Int.emod_eq_sub_self_emod, Int.emod_eq_of_lt] <;> omega
· rw [natCast_emod, Int.emod_eq_of_lt] <;> omega
theorem coe_int_sub_eq_mod {n : Nat} (u v : Fin n) :
((u - v : Fin n) : Int) = ((u : Int) - (v : Int)) % n := by
rw [coe_int_sub_eq_ite]
split
· rw [Int.emod_eq_of_lt] <;> omega
· rw [Int.emod_eq_add_self_emod, Int.emod_eq_of_lt] <;> omega
theorem coe_int_add_eq_ite {n : Nat} (u v : Fin n) :
((u + v : Fin n) : Int) = if (u + v : ℕ) < n then (u + v : Int) else (u + v : Int) - n := by
rw [Fin.add_def]
split
· rw [natCast_emod, Int.emod_eq_of_lt] <;> omega
· rw [natCast_emod, Int.emod_eq_sub_self_emod, Int.emod_eq_of_lt] <;> omega
theorem coe_int_add_eq_mod {n : Nat} (u v : Fin n) :
((u + v : Fin n) : Int) = ((u : Int) + (v : Int)) % n := by
rw [coe_int_add_eq_ite]
split
· rw [Int.emod_eq_of_lt] <;> omega
· rw [Int.emod_eq_sub_self_emod, Int.emod_eq_of_lt] <;> omega
-- Write `a + b` as `if (a + b : ℕ) < n then (a + b : ℤ) else (a + b : ℤ) - n` and
-- similarly `a - b` as `if (b : ℕ) ≤ a then (a - b : ℤ) else (a - b : ℤ) + n`.
attribute [fin_omega] coe_int_sub_eq_ite coe_int_add_eq_ite
-- Rewrite inequalities in `Fin` to inequalities in `ℕ`
attribute [fin_omega] Fin.lt_iff_val_lt_val Fin.le_iff_val_le_val
-- Rewrite `1 : Fin (n + 2)` to `1 : ℤ`
attribute [fin_omega] val_one
/--
Preprocessor for `omega` to handle inequalities in `Fin`.
Note that this involves a lot of case splitting, so may be slow.
-/
-- Further adjustment to the simp set can probably make this more powerful.
-- Please experiment and PR updates!
macro "fin_omega" : tactic => `(tactic|
{ try simp only [fin_omega, ← Int.ofNat_lt, ← Int.ofNat_le] at *
omega })
section Add
/-!
### addition, numerals, and coercion from Nat
-/
@[simp]
theorem val_one' (n : ℕ) [NeZero n] : ((1 : Fin n) : ℕ) = 1 % n :=
rfl
@[deprecated val_one' (since := "2025-03-10")]
theorem val_one'' {n : ℕ} : ((1 : Fin (n + 1)) : ℕ) = 1 % (n + 1) :=
rfl
instance nontrivial {n : ℕ} : Nontrivial (Fin (n + 2)) where
exists_pair_ne := ⟨0, 1, (ne_iff_vne 0 1).mpr (by simp [val_one, val_zero])⟩
theorem nontrivial_iff_two_le : Nontrivial (Fin n) ↔ 2 ≤ n := by
rcases n with (_ | _ | n) <;>
simp [Fin.nontrivial, not_nontrivial, Nat.succ_le_iff]
section Monoid
instance inhabitedFinOneAdd (n : ℕ) : Inhabited (Fin (1 + n)) :=
haveI : NeZero (1 + n) := by rw [Nat.add_comm]; infer_instance
inferInstance
@[simp]
theorem default_eq_zero (n : ℕ) [NeZero n] : (default : Fin n) = 0 :=
rfl
instance instNatCast [NeZero n] : NatCast (Fin n) where
natCast i := Fin.ofNat' n i
lemma natCast_def [NeZero n] (a : ℕ) : (a : Fin n) = ⟨a % n, mod_lt _ n.pos_of_neZero⟩ := rfl
end Monoid
theorem val_add_eq_ite {n : ℕ} (a b : Fin n) :
(↑(a + b) : ℕ) = if n ≤ a + b then a + b - n else a + b := by
rw [Fin.val_add, Nat.add_mod_eq_ite, Nat.mod_eq_of_lt (show ↑a < n from a.2),
Nat.mod_eq_of_lt (show ↑b < n from b.2)]
theorem val_add_eq_of_add_lt {n : ℕ} {a b : Fin n} (huv : a.val + b.val < n) :
(a + b).val = a.val + b.val := by
rw [val_add]
simp [Nat.mod_eq_of_lt huv]
lemma intCast_val_sub_eq_sub_add_ite {n : ℕ} (a b : Fin n) :
((a - b).val : ℤ) = a.val - b.val + if b ≤ a then 0 else n := by
split <;> fin_omega
lemma one_le_of_ne_zero {n : ℕ} [NeZero n] {k : Fin n} (hk : k ≠ 0) : 1 ≤ k := by
obtain ⟨n, rfl⟩ := Nat.exists_eq_succ_of_ne_zero (NeZero.ne n)
cases n with
| zero => simp only [Nat.reduceAdd, Fin.isValue, Fin.zero_le]
| succ n => rwa [Fin.le_iff_val_le_val, Fin.val_one, Nat.one_le_iff_ne_zero, val_ne_zero_iff]
lemma val_sub_one_of_ne_zero [NeZero n] {i : Fin n} (hi : i ≠ 0) : (i - 1).val = i - 1 := by
obtain ⟨n, rfl⟩ := Nat.exists_eq_succ_of_ne_zero (NeZero.ne n)
rw [Fin.sub_val_of_le (one_le_of_ne_zero hi), Fin.val_one', Nat.mod_eq_of_lt
(Nat.succ_le_iff.mpr (nontrivial_iff_two_le.mp <| nontrivial_of_ne i 0 hi))]
section OfNatCoe
@[simp]
theorem ofNat'_eq_cast (n : ℕ) [NeZero n] (a : ℕ) : Fin.ofNat' n a = a :=
rfl
@[simp] lemma val_natCast (a n : ℕ) [NeZero n] : (a : Fin n).val = a % n := rfl
/-- Converting an in-range number to `Fin (n + 1)` produces a result
whose value is the original number. -/
theorem val_cast_of_lt {n : ℕ} [NeZero n] {a : ℕ} (h : a < n) : (a : Fin n).val = a :=
Nat.mod_eq_of_lt h
/-- If `n` is non-zero, converting the value of a `Fin n` to `Fin n` results
in the same value. -/
@[simp, norm_cast] theorem cast_val_eq_self {n : ℕ} [NeZero n] (a : Fin n) : (a.val : Fin n) = a :=
Fin.ext <| val_cast_of_lt a.isLt
-- This is a special case of `CharP.cast_eq_zero` that doesn't require typeclass search
@[simp high] lemma natCast_self (n : ℕ) [NeZero n] : (n : Fin n) = 0 := by ext; simp
@[simp] lemma natCast_eq_zero {a n : ℕ} [NeZero n] : (a : Fin n) = 0 ↔ n ∣ a := by
simp [Fin.ext_iff, Nat.dvd_iff_mod_eq_zero]
@[simp]
theorem natCast_eq_last (n) : (n : Fin (n + 1)) = Fin.last n := by ext; simp
theorem le_val_last (i : Fin (n + 1)) : i ≤ n := by
rw [Fin.natCast_eq_last]
exact Fin.le_last i
variable {a b : ℕ}
lemma natCast_le_natCast (han : a ≤ n) (hbn : b ≤ n) : (a : Fin (n + 1)) ≤ b ↔ a ≤ b := by
rw [← Nat.lt_succ_iff] at han hbn
simp [le_iff_val_le_val, -val_fin_le, Nat.mod_eq_of_lt, han, hbn]
lemma natCast_lt_natCast (han : a ≤ n) (hbn : b ≤ n) : (a : Fin (n + 1)) < b ↔ a < b := by
rw [← Nat.lt_succ_iff] at han hbn; simp [lt_iff_val_lt_val, Nat.mod_eq_of_lt, han, hbn]
lemma natCast_mono (hbn : b ≤ n) (hab : a ≤ b) : (a : Fin (n + 1)) ≤ b :=
(natCast_le_natCast (hab.trans hbn) hbn).2 hab
lemma natCast_strictMono (hbn : b ≤ n) (hab : a < b) : (a : Fin (n + 1)) < b :=
(natCast_lt_natCast (hab.le.trans hbn) hbn).2 hab
end OfNatCoe
end Add
section Succ
/-!
### succ and casts into larger Fin types
-/
lemma succ_injective (n : ℕ) : Injective (@Fin.succ n) := fun a b ↦ by simp [Fin.ext_iff]
/-- `Fin.succ` as an `Embedding` -/
def succEmb (n : ℕ) : Fin n ↪ Fin (n + 1) where
toFun := succ
inj' := succ_injective _
@[simp]
theorem coe_succEmb : ⇑(succEmb n) = Fin.succ :=
rfl
@[deprecated (since := "2025-04-12")]
alias val_succEmb := coe_succEmb
@[simp]
theorem exists_succ_eq {x : Fin (n + 1)} : (∃ y, Fin.succ y = x) ↔ x ≠ 0 :=
⟨fun ⟨_, hy⟩ => hy ▸ succ_ne_zero _, x.cases (fun h => h.irrefl.elim) (fun _ _ => ⟨_, rfl⟩)⟩
theorem exists_succ_eq_of_ne_zero {x : Fin (n + 1)} (h : x ≠ 0) :
∃ y, Fin.succ y = x := exists_succ_eq.mpr h
@[simp]
theorem succ_zero_eq_one' [NeZero n] : Fin.succ (0 : Fin n) = 1 := by
cases n
· exact (NeZero.ne 0 rfl).elim
· rfl
theorem one_pos' [NeZero n] : (0 : Fin (n + 1)) < 1 := succ_zero_eq_one' (n := n) ▸ succ_pos _
theorem zero_ne_one' [NeZero n] : (0 : Fin (n + 1)) ≠ 1 := Fin.ne_of_lt one_pos'
/--
The `Fin.succ_one_eq_two` in `Lean` only applies in `Fin (n+2)`.
This one instead uses a `NeZero n` typeclass hypothesis.
-/
@[simp]
theorem succ_one_eq_two' [NeZero n] : Fin.succ (1 : Fin (n + 1)) = 2 := by
cases n
· exact (NeZero.ne 0 rfl).elim
· rfl
-- Version of `succ_one_eq_two` to be used by `dsimp`.
-- Note the `'` swapped around due to a move to std4.
/--
The `Fin.le_zero_iff` in `Lean` only applies in `Fin (n+1)`.
This one instead uses a `NeZero n` typeclass hypothesis.
-/
@[simp]
theorem le_zero_iff' {n : ℕ} [NeZero n] {k : Fin n} : k ≤ 0 ↔ k = 0 :=
⟨fun h => Fin.ext <| by rw [Nat.eq_zero_of_le_zero h]; rfl, by rintro rfl; exact Nat.le_refl _⟩
-- TODO: Move to Batteries
@[simp] lemma castLE_inj {hmn : m ≤ n} {a b : Fin m} : castLE hmn a = castLE hmn b ↔ a = b := by
simp [Fin.ext_iff]
@[simp] lemma castAdd_inj {a b : Fin m} : castAdd n a = castAdd n b ↔ a = b := by simp [Fin.ext_iff]
attribute [simp] castSucc_inj
lemma castLE_injective (hmn : m ≤ n) : Injective (castLE hmn) :=
fun _ _ hab ↦ Fin.ext (congr_arg val hab :)
lemma castAdd_injective (m n : ℕ) : Injective (@Fin.castAdd m n) := castLE_injective _
lemma castSucc_injective (n : ℕ) : Injective (@Fin.castSucc n) := castAdd_injective _ _
/-- `Fin.castLE` as an `Embedding`, `castLEEmb h i` embeds `i` into a larger `Fin` type. -/
@[simps apply]
def castLEEmb (h : n ≤ m) : Fin n ↪ Fin m where
toFun := castLE h
inj' := castLE_injective _
@[simp, norm_cast] lemma coe_castLEEmb {m n} (hmn : m ≤ n) : castLEEmb hmn = castLE hmn := rfl
/- The next proof can be golfed a lot using `Fintype.card`.
It is written this way to define `ENat.card` and `Nat.card` without a `Fintype` dependency
(not done yet). -/
lemma nonempty_embedding_iff : Nonempty (Fin n ↪ Fin m) ↔ n ≤ m := by
refine ⟨fun h ↦ ?_, fun h ↦ ⟨castLEEmb h⟩⟩
induction n generalizing m with
| zero => exact m.zero_le
| succ n ihn =>
obtain ⟨e⟩ := h
rcases exists_eq_succ_of_ne_zero (pos_iff_nonempty.2 (Nonempty.map e inferInstance)).ne'
with ⟨m, rfl⟩
refine Nat.succ_le_succ <| ihn ⟨?_⟩
refine ⟨fun i ↦ (e.setValue 0 0 i.succ).pred (mt e.setValue_eq_iff.1 i.succ_ne_zero),
fun i j h ↦ ?_⟩
simpa only [pred_inj, EmbeddingLike.apply_eq_iff_eq, succ_inj] using h
lemma equiv_iff_eq : Nonempty (Fin m ≃ Fin n) ↔ m = n :=
⟨fun ⟨e⟩ ↦ le_antisymm (nonempty_embedding_iff.1 ⟨e⟩) (nonempty_embedding_iff.1 ⟨e.symm⟩),
fun h ↦ h ▸ ⟨.refl _⟩⟩
@[simp] lemma castLE_castSucc {n m} (i : Fin n) (h : n + 1 ≤ m) :
i.castSucc.castLE h = i.castLE (Nat.le_of_succ_le h) :=
rfl
@[simp] lemma castLE_comp_castSucc {n m} (h : n + 1 ≤ m) :
Fin.castLE h ∘ Fin.castSucc = Fin.castLE (Nat.le_of_succ_le h) :=
rfl
@[simp] lemma castLE_rfl (n : ℕ) : Fin.castLE (le_refl n) = id :=
rfl
@[simp]
theorem range_castLE {n k : ℕ} (h : n ≤ k) : Set.range (castLE h) = { i : Fin k | (i : ℕ) < n } :=
Set.ext fun x => ⟨fun ⟨y, hy⟩ => hy ▸ y.2, fun hx => ⟨⟨x, hx⟩, rfl⟩⟩
@[simp]
theorem coe_of_injective_castLE_symm {n k : ℕ} (h : n ≤ k) (i : Fin k) (hi) :
((Equiv.ofInjective _ (castLE_injective h)).symm ⟨i, hi⟩ : ℕ) = i := by
rw [← coe_castLE h]
exact congr_arg Fin.val (Equiv.apply_ofInjective_symm _ _)
theorem leftInverse_cast (eq : n = m) : LeftInverse (Fin.cast eq.symm) (Fin.cast eq) :=
fun _ => rfl
theorem rightInverse_cast (eq : n = m) : RightInverse (Fin.cast eq.symm) (Fin.cast eq) :=
fun _ => rfl
@[simp]
theorem cast_inj (eq : n = m) {a b : Fin n} : a.cast eq = b.cast eq ↔ a = b := by
simp [← val_inj]
@[simp]
theorem cast_lt_cast (eq : n = m) {a b : Fin n} : a.cast eq < b.cast eq ↔ a < b :=
Iff.rfl
@[simp]
theorem cast_le_cast (eq : n = m) {a b : Fin n} : a.cast eq ≤ b.cast eq ↔ a ≤ b :=
Iff.rfl
/-- The 'identity' equivalence between `Fin m` and `Fin n` when `m = n`. -/
@[simps]
def _root_.finCongr (eq : n = m) : Fin n ≃ Fin m where
toFun := Fin.cast eq
invFun := Fin.cast eq.symm
left_inv := leftInverse_cast eq
right_inv := rightInverse_cast eq
@[simp] lemma _root_.finCongr_apply_mk (h : m = n) (k : ℕ) (hk : k < m) :
finCongr h ⟨k, hk⟩ = ⟨k, h ▸ hk⟩ := rfl
@[simp]
lemma _root_.finCongr_refl (h : n = n := rfl) : finCongr h = Equiv.refl (Fin n) := by ext; simp
@[simp] lemma _root_.finCongr_symm (h : m = n) : (finCongr h).symm = finCongr h.symm := rfl
@[simp] lemma _root_.finCongr_apply_coe (h : m = n) (k : Fin m) : (finCongr h k : ℕ) = k := rfl
lemma _root_.finCongr_symm_apply_coe (h : m = n) (k : Fin n) : ((finCongr h).symm k : ℕ) = k := rfl
/-- While in many cases `finCongr` is better than `Equiv.cast`/`cast`, sometimes we want to apply
a generic theorem about `cast`. -/
lemma _root_.finCongr_eq_equivCast (h : n = m) : finCongr h = .cast (h ▸ rfl) := by subst h; simp
/-- While in many cases `Fin.cast` is better than `Equiv.cast`/`cast`, sometimes we want to apply
a generic theorem about `cast`. -/
theorem cast_eq_cast (h : n = m) : (Fin.cast h : Fin n → Fin m) = _root_.cast (h ▸ rfl) := by
subst h
ext
rfl
/-- `Fin.castAdd` as an `Embedding`, `castAddEmb m i` embeds `i : Fin n` in `Fin (n+m)`.
See also `Fin.natAddEmb` and `Fin.addNatEmb`. -/
def castAddEmb (m) : Fin n ↪ Fin (n + m) := castLEEmb (le_add_right n m)
@[simp]
lemma coe_castAddEmb (m) : (castAddEmb m : Fin n → Fin (n + m)) = castAdd m := rfl
lemma castAddEmb_apply (m) (i : Fin n) : castAddEmb m i = castAdd m i := rfl
/-- `Fin.castSucc` as an `Embedding`, `castSuccEmb i` embeds `i : Fin n` in `Fin (n+1)`. -/
def castSuccEmb : Fin n ↪ Fin (n + 1) := castAddEmb _
@[simp, norm_cast] lemma coe_castSuccEmb : (castSuccEmb : Fin n → Fin (n + 1)) = Fin.castSucc := rfl
lemma castSuccEmb_apply (i : Fin n) : castSuccEmb i = i.castSucc := rfl
theorem castSucc_le_succ {n} (i : Fin n) : i.castSucc ≤ i.succ := Nat.le_succ i
@[simp] theorem castSucc_le_castSucc_iff {a b : Fin n} : castSucc a ≤ castSucc b ↔ a ≤ b := .rfl
@[simp] theorem succ_le_castSucc_iff {a b : Fin n} : succ a ≤ castSucc b ↔ a < b := by
rw [le_castSucc_iff, succ_lt_succ_iff]
@[simp] theorem castSucc_lt_succ_iff {a b : Fin n} : castSucc a < succ b ↔ a ≤ b := by
rw [castSucc_lt_iff_succ_le, succ_le_succ_iff]
theorem le_of_castSucc_lt_of_succ_lt {a b : Fin (n + 1)} {i : Fin n}
(hl : castSucc i < a) (hu : b < succ i) : b < a := by
simp [Fin.lt_def, -val_fin_lt] at *; omega
theorem castSucc_lt_or_lt_succ (p : Fin (n + 1)) (i : Fin n) : castSucc i < p ∨ p < i.succ := by
simp [Fin.lt_def, -val_fin_lt]; omega
theorem succ_le_or_le_castSucc (p : Fin (n + 1)) (i : Fin n) : succ i ≤ p ∨ p ≤ i.castSucc := by
rw [le_castSucc_iff, ← castSucc_lt_iff_succ_le]
exact p.castSucc_lt_or_lt_succ i
theorem eq_castSucc_of_ne_last {x : Fin (n + 1)} (h : x ≠ (last _)) :
∃ y, Fin.castSucc y = x := exists_castSucc_eq.mpr h
@[deprecated (since := "2025-02-06")]
alias exists_castSucc_eq_of_ne_last := eq_castSucc_of_ne_last
theorem forall_fin_succ' {P : Fin (n + 1) → Prop} :
(∀ i, P i) ↔ (∀ i : Fin n, P i.castSucc) ∧ P (.last _) :=
⟨fun H => ⟨fun _ => H _, H _⟩, fun ⟨H0, H1⟩ i => Fin.lastCases H1 H0 i⟩
-- to match `Fin.eq_zero_or_eq_succ`
theorem eq_castSucc_or_eq_last {n : Nat} (i : Fin (n + 1)) :
(∃ j : Fin n, i = j.castSucc) ∨ i = last n := i.lastCases (Or.inr rfl) (Or.inl ⟨·, rfl⟩)
@[simp]
theorem castSucc_ne_last {n : ℕ} (i : Fin n) : i.castSucc ≠ .last n :=
Fin.ne_of_lt i.castSucc_lt_last
theorem exists_fin_succ' {P : Fin (n + 1) → Prop} :
(∃ i, P i) ↔ (∃ i : Fin n, P i.castSucc) ∨ P (.last _) :=
⟨fun ⟨i, h⟩ => Fin.lastCases Or.inr (fun i hi => Or.inl ⟨i, hi⟩) i h,
fun h => h.elim (fun ⟨i, hi⟩ => ⟨i.castSucc, hi⟩) (fun h => ⟨.last _, h⟩)⟩
/--
The `Fin.castSucc_zero` in `Lean` only applies in `Fin (n+1)`.
This one instead uses a `NeZero n` typeclass hypothesis.
-/
@[simp]
theorem castSucc_zero' [NeZero n] : castSucc (0 : Fin n) = 0 := rfl
@[simp]
theorem castSucc_pos_iff [NeZero n] {i : Fin n} : 0 < castSucc i ↔ 0 < i := by simp [← val_pos_iff]
/-- `castSucc i` is positive when `i` is positive.
The `Fin.castSucc_pos` in `Lean` only applies in `Fin (n+1)`.
This one instead uses a `NeZero n` typeclass hypothesis. -/
alias ⟨_, castSucc_pos'⟩ := castSucc_pos_iff
/--
The `Fin.castSucc_eq_zero_iff` in `Lean` only applies in `Fin (n+1)`.
This one instead uses a `NeZero n` typeclass hypothesis.
-/
@[simp]
theorem castSucc_eq_zero_iff' [NeZero n] (a : Fin n) : castSucc a = 0 ↔ a = 0 :=
Fin.ext_iff.trans <| (Fin.ext_iff.trans <| by simp).symm
/--
The `Fin.castSucc_ne_zero_iff` in `Lean` only applies in `Fin (n+1)`.
This one instead uses a `NeZero n` typeclass hypothesis.
-/
theorem castSucc_ne_zero_iff' [NeZero n] (a : Fin n) : castSucc a ≠ 0 ↔ a ≠ 0 :=
not_iff_not.mpr <| castSucc_eq_zero_iff' a
theorem castSucc_ne_zero_of_lt {p i : Fin n} (h : p < i) : castSucc i ≠ 0 := by
cases n
· exact i.elim0
· rw [castSucc_ne_zero_iff', Ne, Fin.ext_iff]
exact ((zero_le _).trans_lt h).ne'
theorem succ_ne_last_iff (a : Fin (n + 1)) : succ a ≠ last (n + 1) ↔ a ≠ last n :=
not_iff_not.mpr <| succ_eq_last_succ
theorem succ_ne_last_of_lt {p i : Fin n} (h : i < p) : succ i ≠ last n := by
cases n
· exact i.elim0
· rw [succ_ne_last_iff, Ne, Fin.ext_iff]
exact ((le_last _).trans_lt' h).ne
@[norm_cast, simp]
theorem coe_eq_castSucc {a : Fin n} : (a : Fin (n + 1)) = castSucc a := by
ext
exact val_cast_of_lt (Nat.lt.step a.is_lt)
theorem coe_succ_lt_iff_lt {n : ℕ} {j k : Fin n} : (j : Fin <| n + 1) < k ↔ j < k := by
simp only [coe_eq_castSucc, castSucc_lt_castSucc_iff]
@[simp]
theorem range_castSucc {n : ℕ} : Set.range (castSucc : Fin n → Fin n.succ) =
({ i | (i : ℕ) < n } : Set (Fin n.succ)) := range_castLE (by omega)
@[simp]
theorem coe_of_injective_castSucc_symm {n : ℕ} (i : Fin n.succ) (hi) :
((Equiv.ofInjective castSucc (castSucc_injective _)).symm ⟨i, hi⟩ : ℕ) = i := by
rw [← coe_castSucc]
exact congr_arg val (Equiv.apply_ofInjective_symm _ _)
/-- `Fin.addNat` as an `Embedding`, `addNatEmb m i` adds `m` to `i`, generalizes `Fin.succ`. -/
@[simps! apply]
def addNatEmb (m) : Fin n ↪ Fin (n + m) where
toFun := (addNat · m)
inj' a b := by simp [Fin.ext_iff]
/-- `Fin.natAdd` as an `Embedding`, `natAddEmb n i` adds `n` to `i` "on the left". -/
@[simps! apply]
def natAddEmb (n) {m} : Fin m ↪ Fin (n + m) where
toFun := natAdd n
inj' a b := by simp [Fin.ext_iff]
theorem castSucc_castAdd (i : Fin n) : castSucc (castAdd m i) = castAdd (m + 1) i := rfl
theorem castSucc_natAdd (i : Fin m) : castSucc (natAdd n i) = natAdd n (castSucc i) := rfl
theorem succ_castAdd (i : Fin n) : succ (castAdd m i) =
if h : i.succ = last _ then natAdd n (0 : Fin (m + 1))
else castAdd (m + 1) ⟨i.1 + 1, lt_of_le_of_ne i.2 (Fin.val_ne_iff.mpr h)⟩ := by
split_ifs with h
exacts [Fin.ext (congr_arg Fin.val h :), rfl]
theorem succ_natAdd (i : Fin m) : succ (natAdd n i) = natAdd n (succ i) := rfl
end Succ
section Pred
/-!
### pred
-/
theorem pred_one' [NeZero n] (h := (zero_ne_one' (n := n)).symm) :
Fin.pred (1 : Fin (n + 1)) h = 0 := by
simp_rw [Fin.ext_iff, coe_pred, val_one', val_zero, Nat.sub_eq_zero_iff_le, Nat.mod_le]
theorem pred_last (h := Fin.ext_iff.not.2 last_pos'.ne') :
pred (last (n + 1)) h = last n := by simp_rw [← succ_last, pred_succ]
theorem pred_lt_iff {j : Fin n} {i : Fin (n + 1)} (hi : i ≠ 0) : pred i hi < j ↔ i < succ j := by
rw [← succ_lt_succ_iff, succ_pred]
theorem lt_pred_iff {j : Fin n} {i : Fin (n + 1)} (hi : i ≠ 0) : j < pred i hi ↔ succ j < i := by
rw [← succ_lt_succ_iff, succ_pred]
theorem pred_le_iff {j : Fin n} {i : Fin (n + 1)} (hi : i ≠ 0) : pred i hi ≤ j ↔ i ≤ succ j := by
rw [← succ_le_succ_iff, succ_pred]
theorem le_pred_iff {j : Fin n} {i : Fin (n + 1)} (hi : i ≠ 0) : j ≤ pred i hi ↔ succ j ≤ i := by
rw [← succ_le_succ_iff, succ_pred]
theorem castSucc_pred_eq_pred_castSucc {a : Fin (n + 1)} (ha : a ≠ 0)
(ha' := castSucc_ne_zero_iff.mpr ha) :
(a.pred ha).castSucc = (castSucc a).pred ha' := rfl
theorem castSucc_pred_add_one_eq {a : Fin (n + 1)} (ha : a ≠ 0) :
(a.pred ha).castSucc + 1 = a := by
cases a using cases
· exact (ha rfl).elim
· rw [pred_succ, coeSucc_eq_succ]
theorem le_pred_castSucc_iff {a b : Fin (n + 1)} (ha : castSucc a ≠ 0) :
b ≤ (castSucc a).pred ha ↔ b < a := by
rw [le_pred_iff, succ_le_castSucc_iff]
theorem pred_castSucc_lt_iff {a b : Fin (n + 1)} (ha : castSucc a ≠ 0) :
(castSucc a).pred ha < b ↔ a ≤ b := by
rw [pred_lt_iff, castSucc_lt_succ_iff]
theorem pred_castSucc_lt {a : Fin (n + 1)} (ha : castSucc a ≠ 0) :
(castSucc a).pred ha < a := by rw [pred_castSucc_lt_iff, le_def]
theorem le_castSucc_pred_iff {a b : Fin (n + 1)} (ha : a ≠ 0) :
b ≤ castSucc (a.pred ha) ↔ b < a := by
rw [castSucc_pred_eq_pred_castSucc, le_pred_castSucc_iff]
theorem castSucc_pred_lt_iff {a b : Fin (n + 1)} (ha : a ≠ 0) :
castSucc (a.pred ha) < b ↔ a ≤ b := by
rw [castSucc_pred_eq_pred_castSucc, pred_castSucc_lt_iff]
theorem castSucc_pred_lt {a : Fin (n + 1)} (ha : a ≠ 0) :
castSucc (a.pred ha) < a := by rw [castSucc_pred_lt_iff, le_def]
end Pred
section CastPred
/-- `castPred i` sends `i : Fin (n + 1)` to `Fin n` as long as i ≠ last n. -/
@[inline] def castPred (i : Fin (n + 1)) (h : i ≠ last n) : Fin n := castLT i (val_lt_last h)
| @[simp]
lemma castLT_eq_castPred (i : Fin (n + 1)) (h : i < last _) (h' := Fin.ext_iff.not.2 h.ne) :
castLT i h = castPred i h' := rfl
| Mathlib/Data/Fin/Basic.lean | 792 | 795 |
/-
Copyright (c) 2018 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro, Floris van Doorn
-/
import Mathlib.Algebra.Order.Archimedean.Basic
import Mathlib.Algebra.Order.Group.Pointwise.Bounds
import Mathlib.Data.Real.Basic
import Mathlib.Order.ConditionallyCompleteLattice.Indexed
import Mathlib.Order.Interval.Set.Disjoint
/-!
# The real numbers are an Archimedean floor ring, and a conditionally complete linear order.
-/
assert_not_exists Finset
open Pointwise CauSeq
namespace Real
variable {ι : Sort*} {f : ι → ℝ} {s : Set ℝ} {a : ℝ}
instance instArchimedean : Archimedean ℝ :=
archimedean_iff_rat_le.2 fun x =>
Real.ind_mk x fun f =>
let ⟨M, _, H⟩ := f.bounded' 0
⟨M, mk_le_of_forall_le ⟨0, fun i _ => Rat.cast_le.2 <| le_of_lt (abs_lt.1 (H i)).2⟩⟩
noncomputable instance : FloorRing ℝ :=
Archimedean.floorRing _
theorem isCauSeq_iff_lift {f : ℕ → ℚ} : IsCauSeq abs f ↔ IsCauSeq abs fun i => (f i : ℝ) where
mp H ε ε0 :=
let ⟨δ, δ0, δε⟩ := exists_pos_rat_lt ε0
(H _ δ0).imp fun i hi j ij => by dsimp; exact lt_trans (mod_cast hi _ ij) δε
mpr H ε ε0 :=
(H _ (Rat.cast_pos.2 ε0)).imp fun i hi j ij => by dsimp at hi; exact mod_cast hi _ ij
theorem of_near (f : ℕ → ℚ) (x : ℝ) (h : ∀ ε > 0, ∃ i, ∀ j ≥ i, |(f j : ℝ) - x| < ε) :
∃ h', Real.mk ⟨f, h'⟩ = x :=
⟨isCauSeq_iff_lift.2 (CauSeq.of_near _ (const abs x) h),
sub_eq_zero.1 <|
abs_eq_zero.1 <|
(eq_of_le_of_forall_lt_imp_le_of_dense (abs_nonneg _)) fun _ε ε0 =>
mk_near_of_forall_near <| (h _ ε0).imp fun _i h j ij => le_of_lt (h j ij)⟩
theorem exists_floor (x : ℝ) : ∃ ub : ℤ, (ub : ℝ) ≤ x ∧ ∀ z : ℤ, (z : ℝ) ≤ x → z ≤ ub :=
Int.exists_greatest_of_bdd
(let ⟨n, hn⟩ := exists_int_gt x
⟨n, fun _ h' => Int.cast_le.1 <| le_trans h' <| le_of_lt hn⟩)
(let ⟨n, hn⟩ := exists_int_lt x
⟨n, le_of_lt hn⟩)
theorem exists_isLUB (hne : s.Nonempty) (hbdd : BddAbove s) : ∃ x, IsLUB s x := by
rcases hne, hbdd with ⟨⟨L, hL⟩, ⟨U, hU⟩⟩
have : ∀ d : ℕ, BddAbove { m : ℤ | ∃ y ∈ s, (m : ℝ) ≤ y * d } := by
obtain ⟨k, hk⟩ := exists_int_gt U
refine fun d => ⟨k * d, fun z h => ?_⟩
rcases h with ⟨y, yS, hy⟩
refine Int.cast_le.1 (hy.trans ?_)
push_cast
exact mul_le_mul_of_nonneg_right ((hU yS).trans hk.le) d.cast_nonneg
choose f hf using fun d : ℕ =>
Int.exists_greatest_of_bdd (this d) ⟨⌊L * d⌋, L, hL, Int.floor_le _⟩
have hf₁ : ∀ n > 0, ∃ y ∈ s, ((f n / n : ℚ) : ℝ) ≤ y := fun n n0 =>
let ⟨y, yS, hy⟩ := (hf n).1
⟨y, yS, by simpa using (div_le_iff₀ (Nat.cast_pos.2 n0 : (_ : ℝ) < _)).2 hy⟩
have hf₂ : ∀ n > 0, ∀ y ∈ s, (y - ((n : ℕ) : ℝ)⁻¹) < (f n / n : ℚ) := by
intro n n0 y yS
have := (Int.sub_one_lt_floor _).trans_le (Int.cast_le.2 <| (hf n).2 _ ⟨y, yS, Int.floor_le _⟩)
simp only [Rat.cast_div, Rat.cast_intCast, Rat.cast_natCast, gt_iff_lt]
rwa [lt_div_iff₀ (Nat.cast_pos.2 n0 : (_ : ℝ) < _), sub_mul, inv_mul_cancel₀]
exact ne_of_gt (Nat.cast_pos.2 n0)
have hg : IsCauSeq abs (fun n => f n / n : ℕ → ℚ) := by
intro ε ε0
suffices ∀ j ≥ ⌈ε⁻¹⌉₊, ∀ k ≥ ⌈ε⁻¹⌉₊, (f j / j - f k / k : ℚ) < ε by
refine ⟨_, fun j ij => abs_lt.2 ⟨?_, this _ ij _ le_rfl⟩⟩
rw [neg_lt, neg_sub]
exact this _ le_rfl _ ij
intro j ij k ik
replace ij := le_trans (Nat.le_ceil _) (Nat.cast_le.2 ij)
replace ik := le_trans (Nat.le_ceil _) (Nat.cast_le.2 ik)
have j0 := Nat.cast_pos.1 ((inv_pos.2 ε0).trans_le ij)
have k0 := Nat.cast_pos.1 ((inv_pos.2 ε0).trans_le ik)
rcases hf₁ _ j0 with ⟨y, yS, hy⟩
refine lt_of_lt_of_le ((Rat.cast_lt (K := ℝ)).1 ?_) ((inv_le_comm₀ ε0 (Nat.cast_pos.2 k0)).1 ik)
simpa using sub_lt_iff_lt_add'.2 (lt_of_le_of_lt hy <| sub_lt_iff_lt_add.1 <| hf₂ _ k0 _ yS)
let g : CauSeq ℚ abs := ⟨fun n => f n / n, hg⟩
refine ⟨mk g, ⟨fun x xS => ?_, fun y h => ?_⟩⟩
· refine le_of_forall_lt_imp_le_of_dense fun z xz => ?_
obtain ⟨K, hK⟩ := exists_nat_gt (x - z)⁻¹
refine le_mk_of_forall_le ⟨K, fun n nK => ?_⟩
replace xz := sub_pos.2 xz
replace hK := hK.le.trans (Nat.cast_le.2 nK)
have n0 : 0 < n := Nat.cast_pos.1 ((inv_pos.2 xz).trans_le hK)
refine le_trans ?_ (hf₂ _ n0 _ xS).le
rwa [le_sub_comm, inv_le_comm₀ (Nat.cast_pos.2 n0 : (_ : ℝ) < _) xz]
· exact
mk_le_of_forall_le
⟨1, fun n n1 =>
let ⟨x, xS, hx⟩ := hf₁ _ n1
le_trans hx (h xS)⟩
/-- A nonempty, bounded below set of real numbers has a greatest lower bound. -/
theorem exists_isGLB (hne : s.Nonempty) (hbdd : BddBelow s) : ∃ x, IsGLB s x := by
have hne' : (-s).Nonempty := Set.nonempty_neg.mpr hne
have hbdd' : BddAbove (-s) := bddAbove_neg.mpr hbdd
use -Classical.choose (Real.exists_isLUB hne' hbdd')
rw [← isLUB_neg]
exact Classical.choose_spec (Real.exists_isLUB hne' hbdd')
open scoped Classical in
noncomputable instance : SupSet ℝ :=
⟨fun s => if h : s.Nonempty ∧ BddAbove s then Classical.choose (exists_isLUB h.1 h.2) else 0⟩
open scoped Classical in
theorem sSup_def (s : Set ℝ) :
sSup s = if h : s.Nonempty ∧ BddAbove s then Classical.choose (exists_isLUB h.1 h.2) else 0 :=
rfl
protected theorem isLUB_sSup (h₁ : s.Nonempty) (h₂ : BddAbove s) : IsLUB s (sSup s) := by
simp only [sSup_def, dif_pos (And.intro h₁ h₂)]
apply Classical.choose_spec
noncomputable instance : InfSet ℝ :=
⟨fun s => -sSup (-s)⟩
theorem sInf_def (s : Set ℝ) : sInf s = -sSup (-s) := rfl
protected theorem isGLB_sInf (h₁ : s.Nonempty) (h₂ : BddBelow s) : IsGLB s (sInf s) := by
rw [sInf_def, ← isLUB_neg', neg_neg]
exact Real.isLUB_sSup h₁.neg h₂.neg
noncomputable instance : ConditionallyCompleteLinearOrder ℝ where
__ := Real.linearOrder
__ := Real.lattice
le_csSup s a hs ha := (Real.isLUB_sSup ⟨a, ha⟩ hs).1 ha
csSup_le s a hs ha := (Real.isLUB_sSup hs ⟨a, ha⟩).2 ha
csInf_le s a hs ha := (Real.isGLB_sInf ⟨a, ha⟩ hs).1 ha
le_csInf s a hs ha := (Real.isGLB_sInf hs ⟨a, ha⟩).2 ha
csSup_of_not_bddAbove s hs := by simp [hs, sSup_def]
csInf_of_not_bddBelow s hs := by simp [hs, sInf_def, sSup_def]
theorem lt_sInf_add_pos (h : s.Nonempty) {ε : ℝ} (hε : 0 < ε) : ∃ a ∈ s, a < sInf s + ε :=
exists_lt_of_csInf_lt h <| lt_add_of_pos_right _ hε
theorem add_neg_lt_sSup (h : s.Nonempty) {ε : ℝ} (hε : ε < 0) : ∃ a ∈ s, sSup s + ε < a :=
exists_lt_of_lt_csSup h <| add_lt_iff_neg_left.2 hε
theorem sInf_le_iff (h : BddBelow s) (h' : s.Nonempty) :
sInf s ≤ a ↔ ∀ ε, 0 < ε → ∃ x ∈ s, x < a + ε := by
rw [le_iff_forall_pos_lt_add]
constructor <;> intro H ε ε_pos
· exact exists_lt_of_csInf_lt h' (H ε ε_pos)
· rcases H ε ε_pos with ⟨x, x_in, hx⟩
exact csInf_lt_of_lt h x_in hx
theorem le_sSup_iff (h : BddAbove s) (h' : s.Nonempty) :
a ≤ sSup s ↔ ∀ ε, ε < 0 → ∃ x ∈ s, a + ε < x := by
rw [le_iff_forall_pos_lt_add]
refine ⟨fun H ε ε_neg => ?_, fun H ε ε_pos => ?_⟩
· exact exists_lt_of_lt_csSup h' (lt_sub_iff_add_lt.mp (H _ (neg_pos.mpr ε_neg)))
· rcases H _ (neg_lt_zero.mpr ε_pos) with ⟨x, x_in, hx⟩
exact sub_lt_iff_lt_add.mp (lt_csSup_of_lt h x_in hx)
@[simp]
theorem sSup_empty : sSup (∅ : Set ℝ) = 0 :=
dif_neg <| by simp
@[simp] lemma iSup_of_isEmpty [IsEmpty ι] (f : ι → ℝ) : ⨆ i, f i = 0 := by
dsimp [iSup]
convert Real.sSup_empty
rw [Set.range_eq_empty_iff]
infer_instance
@[simp]
theorem iSup_const_zero : ⨆ _ : ι, (0 : ℝ) = 0 := by
cases isEmpty_or_nonempty ι
· exact Real.iSup_of_isEmpty _
· exact ciSup_const
lemma sSup_of_not_bddAbove (hs : ¬BddAbove s) : sSup s = 0 := dif_neg fun h => hs h.2
| lemma iSup_of_not_bddAbove (hf : ¬BddAbove (Set.range f)) : ⨆ i, f i = 0 := sSup_of_not_bddAbove hf
| Mathlib/Data/Real/Archimedean.lean | 184 | 185 |
/-
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.Topology.UniformSpace.Basic
import Mathlib.Topology.Compactness.Compact
/-!
# Compact sets in uniform spaces
* `compactSpace_uniformity`: On a compact uniform space, the topology determines the
uniform structure, entourages are exactly the neighborhoods of the diagonal.
-/
universe u v ua ub uc ud
variable {α : Type ua} {β : Type ub} {γ : Type uc} {δ : Type ud} {ι : Sort*}
section Compact
open Uniformity Set Filter UniformSpace
open scoped Topology
variable [UniformSpace α] {K : Set α}
/-- Let `c : ι → Set α` be an open cover of a compact set `s`. Then there exists an entourage
`n` such that for each `x ∈ s` its `n`-neighborhood is contained in some `c i`. -/
theorem lebesgue_number_lemma {ι : Sort*} {U : ι → Set α} (hK : IsCompact K)
(hopen : ∀ i, IsOpen (U i)) (hcover : K ⊆ ⋃ i, U i) :
∃ V ∈ 𝓤 α, ∀ x ∈ K, ∃ i, ball x V ⊆ U i := by
have : ∀ x ∈ K, ∃ i, ∃ V ∈ 𝓤 α, ball x (V ○ V) ⊆ U i := fun x hx ↦ by
obtain ⟨i, hi⟩ := mem_iUnion.1 (hcover hx)
rw [← (hopen i).mem_nhds_iff, nhds_eq_comap_uniformity, ← lift'_comp_uniformity] at hi
exact ⟨i, (((basis_sets _).lift' <| monotone_id.compRel monotone_id).comap _).mem_iff.1 hi⟩
choose ind W hW hWU using this
rcases hK.elim_nhds_subcover' (fun x hx ↦ ball x (W x hx)) (fun x hx ↦ ball_mem_nhds _ (hW x hx))
with ⟨t, ht⟩
refine ⟨⋂ x ∈ t, W x x.2, (biInter_finset_mem _).2 fun x _ ↦ hW x x.2, fun x hx ↦ ?_⟩
rcases mem_iUnion₂.1 (ht hx) with ⟨y, hyt, hxy⟩
exact ⟨ind y y.2, fun z hz ↦ hWU _ _ ⟨x, hxy, mem_iInter₂.1 hz _ hyt⟩⟩
theorem lebesgue_number_lemma_nhds' {U : (x : α) → x ∈ K → Set α} (hK : IsCompact K)
(hU : ∀ x hx, U x hx ∈ 𝓝 x) : ∃ V ∈ 𝓤 α, ∀ x ∈ K, ∃ y : K, ball x V ⊆ U y y.2 := by
rcases lebesgue_number_lemma (U := fun x : K => interior (U x x.2)) hK (fun _ => isOpen_interior)
(fun x hx => mem_iUnion.2 ⟨⟨x, hx⟩, mem_interior_iff_mem_nhds.2 (hU x hx)⟩) with ⟨V, V_uni, hV⟩
exact ⟨V, V_uni, fun x hx => (hV x hx).imp fun _ hy => hy.trans interior_subset⟩
theorem lebesgue_number_lemma_nhds {U : α → Set α} (hK : IsCompact K) (hU : ∀ x ∈ K, U x ∈ 𝓝 x) :
∃ V ∈ 𝓤 α, ∀ x ∈ K, ∃ y, ball x V ⊆ U y := by
rcases lebesgue_number_lemma (U := fun x => interior (U x)) hK (fun _ => isOpen_interior)
(fun x hx => mem_iUnion.2 ⟨x, mem_interior_iff_mem_nhds.2 (hU x hx)⟩) with ⟨V, V_uni, hV⟩
exact ⟨V, V_uni, fun x hx => (hV x hx).imp fun _ hy => hy.trans interior_subset⟩
theorem lebesgue_number_lemma_nhdsWithin' {U : (x : α) → x ∈ K → Set α} (hK : IsCompact K)
(hU : ∀ x hx, U x hx ∈ 𝓝[K] x) : ∃ V ∈ 𝓤 α, ∀ x ∈ K, ∃ y : K, ball x V ∩ K ⊆ U y y.2 :=
(lebesgue_number_lemma_nhds' hK (fun x hx => Filter.mem_inf_principal'.1 (hU x hx))).imp
fun _ ⟨V_uni, hV⟩ => ⟨V_uni, fun x hx => (hV x hx).imp fun _ hy => (inter_subset _ _ _).2 hy⟩
theorem lebesgue_number_lemma_nhdsWithin {U : α → Set α} (hK : IsCompact K)
(hU : ∀ x ∈ K, U x ∈ 𝓝[K] x) : ∃ V ∈ 𝓤 α, ∀ x ∈ K, ∃ y, ball x V ∩ K ⊆ U y :=
(lebesgue_number_lemma_nhds hK (fun x hx => Filter.mem_inf_principal'.1 (hU x hx))).imp
fun _ ⟨V_uni, hV⟩ => ⟨V_uni, fun x hx => (hV x hx).imp fun _ hy => (inter_subset _ _ _).2 hy⟩
/-- Let `U : ι → Set α` be an open cover of a compact set `K`.
Then there exists an entourage `V`
such that for each `x ∈ K` its `V`-neighborhood is included in some `U i`.
Moreover, one can choose an entourage from a given basis. -/
protected theorem Filter.HasBasis.lebesgue_number_lemma {ι' ι : Sort*} {p : ι' → Prop}
{V : ι' → Set (α × α)} {U : ι → Set α} (hbasis : (𝓤 α).HasBasis p V) (hK : IsCompact K)
(hopen : ∀ j, IsOpen (U j)) (hcover : K ⊆ ⋃ j, U j) :
∃ i, p i ∧ ∀ x ∈ K, ∃ j, ball x (V i) ⊆ U j := by
refine (hbasis.exists_iff ?_).1 (lebesgue_number_lemma hK hopen hcover)
exact fun s t hst ht x hx ↦ (ht x hx).imp fun i hi ↦ Subset.trans (ball_mono hst _) hi
protected theorem Filter.HasBasis.lebesgue_number_lemma_nhds' {ι' : Sort*} {p : ι' → Prop}
{V : ι' → Set (α × α)} {U : (x : α) → x ∈ K → Set α} (hbasis : (𝓤 α).HasBasis p V)
(hK : IsCompact K) (hU : ∀ x hx, U x hx ∈ 𝓝 x) :
∃ i, p i ∧ ∀ x ∈ K, ∃ y : K, ball x (V i) ⊆ U y y.2 := by
refine (hbasis.exists_iff ?_).1 (lebesgue_number_lemma_nhds' hK hU)
exact fun s t hst ht x hx ↦ (ht x hx).imp fun y hy ↦ Subset.trans (ball_mono hst _) hy
protected theorem Filter.HasBasis.lebesgue_number_lemma_nhds {ι' : Sort*} {p : ι' → Prop}
{V : ι' → Set (α × α)} {U : α → Set α} (hbasis : (𝓤 α).HasBasis p V) (hK : IsCompact K)
(hU : ∀ x ∈ K, U x ∈ 𝓝 x) : ∃ i, p i ∧ ∀ x ∈ K, ∃ y, ball x (V i) ⊆ U y := by
refine (hbasis.exists_iff ?_).1 (lebesgue_number_lemma_nhds hK hU)
exact fun s t hst ht x hx ↦ (ht x hx).imp fun y hy ↦ Subset.trans (ball_mono hst _) hy
protected theorem Filter.HasBasis.lebesgue_number_lemma_nhdsWithin' {ι' : Sort*} {p : ι' → Prop}
{V : ι' → Set (α × α)} {U : (x : α) → x ∈ K → Set α} (hbasis : (𝓤 α).HasBasis p V)
(hK : IsCompact K) (hU : ∀ x hx, U x hx ∈ 𝓝[K] x) :
∃ i, p i ∧ ∀ x ∈ K, ∃ y : K, ball x (V i) ∩ K ⊆ U y y.2 := by
refine (hbasis.exists_iff ?_).1 (lebesgue_number_lemma_nhdsWithin' hK hU)
exact fun s t hst ht x hx ↦ (ht x hx).imp
fun y hy ↦ Subset.trans (Set.inter_subset_inter_left K (ball_mono hst _)) hy
protected theorem Filter.HasBasis.lebesgue_number_lemma_nhdsWithin {ι' : Sort*} {p : ι' → Prop}
{V : ι' → Set (α × α)} {U : α → Set α} (hbasis : (𝓤 α).HasBasis p V) (hK : IsCompact K)
(hU : ∀ x ∈ K, U x ∈ 𝓝[K] x) : ∃ i, p i ∧ ∀ x ∈ K, ∃ y, ball x (V i) ∩ K ⊆ U y := by
refine (hbasis.exists_iff ?_).1 (lebesgue_number_lemma_nhdsWithin hK hU)
exact fun s t hst ht x hx ↦ (ht x hx).imp
fun y hy ↦ Subset.trans (Set.inter_subset_inter_left K (ball_mono hst _)) hy
/-- Let `c : Set (Set α)` be an open cover of a compact set `s`. Then there exists an entourage
`n` such that for each `x ∈ s` its `n`-neighborhood is contained in some `t ∈ c`. -/
theorem lebesgue_number_lemma_sUnion {S : Set (Set α)}
(hK : IsCompact K) (hopen : ∀ s ∈ S, IsOpen s) (hcover : K ⊆ ⋃₀ S) :
∃ V ∈ 𝓤 α, ∀ x ∈ K, ∃ s ∈ S, ball x V ⊆ s := by
rw [sUnion_eq_iUnion] at hcover
simpa using lebesgue_number_lemma hK (by simpa) hcover
/-- If `K` is a compact set in a uniform space and `{V i | p i}` is a basis of entourages,
then `{⋃ x ∈ K, UniformSpace.ball x (V i) | p i}` is a basis of `𝓝ˢ K`.
Here "`{s i | p i}` is a basis of a filter `l`" means `Filter.HasBasis l p s`. -/
theorem IsCompact.nhdsSet_basis_uniformity {p : ι → Prop} {V : ι → Set (α × α)}
(hbasis : (𝓤 α).HasBasis p V) (hK : IsCompact K) :
(𝓝ˢ K).HasBasis p fun i => ⋃ x ∈ K, ball x (V i) where
mem_iff' U := by
constructor
· intro H
have HKU : K ⊆ ⋃ _ : Unit, interior U := by
simpa only [iUnion_const, subset_interior_iff_mem_nhdsSet] using H
obtain ⟨i, hpi, hi⟩ : ∃ i, p i ∧ ⋃ x ∈ K, ball x (V i) ⊆ interior U := by
simpa using hbasis.lebesgue_number_lemma hK (fun _ ↦ isOpen_interior) HKU
exact ⟨i, hpi, hi.trans interior_subset⟩
· rintro ⟨i, hpi, hi⟩
refine mem_of_superset (bUnion_mem_nhdsSet fun x _ ↦ ?_) hi
exact ball_mem_nhds _ <| hbasis.mem_of_mem hpi
-- TODO: move to a separate file, golf using the regularity of a uniform space.
theorem Disjoint.exists_uniform_thickening {A B : Set α} (hA : IsCompact A) (hB : IsClosed B)
(h : Disjoint A B) : ∃ V ∈ 𝓤 α, Disjoint (⋃ x ∈ A, ball x V) (⋃ x ∈ B, ball x V) := by
have : Bᶜ ∈ 𝓝ˢ A := hB.isOpen_compl.mem_nhdsSet.mpr h.le_compl_right
rw [(hA.nhdsSet_basis_uniformity (Filter.basis_sets _)).mem_iff] at this
rcases this with ⟨U, hU, hUAB⟩
rcases comp_symm_mem_uniformity_sets hU with ⟨V, hV, hVsymm, hVU⟩
refine ⟨V, hV, Set.disjoint_left.mpr fun x => ?_⟩
simp only [mem_iUnion₂]
rintro ⟨a, ha, hxa⟩ ⟨b, hb, hxb⟩
rw [mem_ball_symmetry hVsymm] at hxa hxb
exact hUAB (mem_iUnion₂_of_mem ha <| hVU <| mem_comp_of_mem_ball hVsymm hxa hxb) hb
theorem Disjoint.exists_uniform_thickening_of_basis {p : ι → Prop} {s : ι → Set (α × α)}
(hU : (𝓤 α).HasBasis p s) {A B : Set α} (hA : IsCompact A) (hB : IsClosed B)
(h : Disjoint A B) : ∃ i, p i ∧ Disjoint (⋃ x ∈ A, ball x (s i)) (⋃ x ∈ B, ball x (s i)) := by
rcases h.exists_uniform_thickening hA hB with ⟨V, hV, hVAB⟩
rcases hU.mem_iff.1 hV with ⟨i, hi, hiV⟩
exact ⟨i, hi, hVAB.mono (iUnion₂_mono fun a _ => ball_mono hiV a)
(iUnion₂_mono fun b _ => ball_mono hiV b)⟩
/-- A useful consequence of the Lebesgue number lemma: given any compact set `K` contained in an
open set `U`, we can find an (open) entourage `V` such that the ball of size `V` about any point of
`K` is contained in `U`. -/
theorem lebesgue_number_of_compact_open {K U : Set α} (hK : IsCompact K)
(hU : IsOpen U) (hKU : K ⊆ U) : ∃ V ∈ 𝓤 α, IsOpen V ∧ ∀ x ∈ K, UniformSpace.ball x V ⊆ U :=
let ⟨V, ⟨hV, hVo⟩, hVU⟩ :=
(hK.nhdsSet_basis_uniformity uniformity_hasBasis_open).mem_iff.1 (hU.mem_nhdsSet.2 hKU)
⟨V, hV, hVo, iUnion₂_subset_iff.1 hVU⟩
/-- On a compact uniform space, the topology determines the uniform structure, entourages are
exactly the neighborhoods of the diagonal. -/
theorem nhdsSet_diagonal_eq_uniformity [CompactSpace α] : 𝓝ˢ (diagonal α) = 𝓤 α := by
refine nhdsSet_diagonal_le_uniformity.antisymm ?_
have :
(𝓤 (α × α)).HasBasis (fun U => U ∈ 𝓤 α) fun U =>
(fun p : (α × α) × α × α => ((p.1.1, p.2.1), p.1.2, p.2.2)) ⁻¹' U ×ˢ U := by
rw [uniformity_prod_eq_comap_prod]
exact (𝓤 α).basis_sets.prod_self.comap _
refine (isCompact_diagonal.nhdsSet_basis_uniformity this).ge_iff.2 fun U hU => ?_
exact mem_of_superset hU fun ⟨x, y⟩ hxy => mem_iUnion₂.2
⟨(x, x), rfl, refl_mem_uniformity hU, hxy⟩
/-- On a compact uniform space, the topology determines the uniform structure, entourages are
exactly the neighborhoods of the diagonal. -/
theorem compactSpace_uniformity [CompactSpace α] : 𝓤 α = ⨆ x, 𝓝 (x, x) :=
nhdsSet_diagonal_eq_uniformity.symm.trans (nhdsSet_diagonal _)
theorem unique_uniformity_of_compact [t : TopologicalSpace γ] [CompactSpace γ]
{u u' : UniformSpace γ} (h : u.toTopologicalSpace = t) (h' : u'.toTopologicalSpace = t) :
u = u' := by
refine UniformSpace.ext ?_
have : @CompactSpace γ u.toTopologicalSpace := by rwa [h]
have : @CompactSpace γ u'.toTopologicalSpace := by rwa [h']
rw [@compactSpace_uniformity _ u, compactSpace_uniformity, h, h']
end Compact
| Mathlib/Topology/UniformSpace/Compact.lean | 222 | 229 | |
/-
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.Algebra.Subalgebra.Prod
import Mathlib.Algebra.Algebra.Subalgebra.Tower
import Mathlib.LinearAlgebra.Basis.Basic
import Mathlib.LinearAlgebra.Prod
/-!
# Adjoining elements to form subalgebras
This file contains basic results on `Algebra.adjoin`.
## Tags
adjoin, algebra
-/
assert_not_exists Polynomial
universe uR uS uA uB
open Pointwise
open Submodule Subsemiring
variable {R : Type uR} {S : Type uS} {A : Type uA} {B : Type uB}
namespace Algebra
section Semiring
variable [CommSemiring R] [CommSemiring S] [Semiring A] [Semiring B]
variable [Algebra R S] [Algebra R A] [Algebra S A] [Algebra R B] [IsScalarTower R S A]
variable {s t : Set A}
variable (R A)
variable {A} (s)
theorem adjoin_prod_le (s : Set A) (t : Set B) :
adjoin R (s ×ˢ t) ≤ (adjoin R s).prod (adjoin R t) :=
adjoin_le <| Set.prod_mono subset_adjoin subset_adjoin
theorem adjoin_inl_union_inr_eq_prod (s) (t) :
adjoin R (LinearMap.inl R A B '' (s ∪ {1}) ∪ LinearMap.inr R A B '' (t ∪ {1})) =
(adjoin R s).prod (adjoin R t) := by
apply le_antisymm
· simp only [adjoin_le_iff, Set.insert_subset_iff, Subalgebra.zero_mem, Subalgebra.one_mem,
subset_adjoin,-- the rest comes from `squeeze_simp`
Set.union_subset_iff,
LinearMap.coe_inl, Set.mk_preimage_prod_right, Set.image_subset_iff, SetLike.mem_coe,
Set.mk_preimage_prod_left, LinearMap.coe_inr, and_self_iff, Set.union_singleton,
Subalgebra.coe_prod]
· rintro ⟨a, b⟩ ⟨ha, hb⟩
let P := adjoin R (LinearMap.inl R A B '' (s ∪ {1}) ∪ LinearMap.inr R A B '' (t ∪ {1}))
have Ha : (a, (0 : B)) ∈ adjoin R (LinearMap.inl R A B '' (s ∪ {1})) :=
mem_adjoin_of_map_mul R LinearMap.inl_map_mul ha
have Hb : ((0 : A), b) ∈ adjoin R (LinearMap.inr R A B '' (t ∪ {1})) :=
mem_adjoin_of_map_mul R LinearMap.inr_map_mul hb
replace Ha : (a, (0 : B)) ∈ P := adjoin_mono Set.subset_union_left Ha
replace Hb : ((0 : A), b) ∈ P := adjoin_mono Set.subset_union_right Hb
simpa [P] using Subalgebra.add_mem _ Ha Hb
variable (A) in
theorem adjoin_algebraMap (s : Set S) :
adjoin R (algebraMap S A '' s) = (adjoin R s).map (IsScalarTower.toAlgHom R S A) :=
adjoin_image R (IsScalarTower.toAlgHom R S A) s
theorem adjoin_algebraMap_image_union_eq_adjoin_adjoin (s : Set S) (t : Set A) :
adjoin R (algebraMap S A '' s ∪ t) = (adjoin (adjoin R s) t).restrictScalars R :=
le_antisymm
(closure_mono <|
Set.union_subset (Set.range_subset_iff.2 fun r => Or.inl ⟨algebraMap R (adjoin R s) r,
(IsScalarTower.algebraMap_apply _ _ _ _).symm⟩)
(Set.union_subset_union_left _ fun _ ⟨_x, hx, hxs⟩ => hxs ▸ ⟨⟨_, subset_adjoin hx⟩, rfl⟩))
(closure_le.2 <|
Set.union_subset (Set.range_subset_iff.2 fun x => adjoin_mono Set.subset_union_left <|
Algebra.adjoin_algebraMap R A s ▸ ⟨x, x.prop, rfl⟩)
(Set.Subset.trans Set.subset_union_right subset_adjoin))
theorem adjoin_adjoin_of_tower (s : Set A) : adjoin S (adjoin R s : Set A) = adjoin S s := by
apply le_antisymm (adjoin_le _)
· exact adjoin_mono subset_adjoin
· change adjoin R s ≤ (adjoin S s).restrictScalars R
refine adjoin_le ?_
-- Porting note: unclear why this was broken
have : (Subalgebra.restrictScalars R (adjoin S s) : Set A) = adjoin S s := rfl
rw [this]
exact subset_adjoin
theorem Subalgebra.restrictScalars_adjoin {s : Set A} :
(adjoin S s).restrictScalars R = (IsScalarTower.toAlgHom R S A).range ⊔ adjoin R s := by
refine le_antisymm (fun _ hx ↦ adjoin_induction
(fun x hx ↦ le_sup_right (α := Subalgebra R A) (subset_adjoin hx))
(fun x ↦ le_sup_left (α := Subalgebra R A) ⟨x, rfl⟩)
(fun _ _ _ _ ↦ add_mem) (fun _ _ _ _ ↦ mul_mem) <|
(Subalgebra.mem_restrictScalars _).mp hx) (sup_le ?_ <| adjoin_le subset_adjoin)
rintro _ ⟨x, rfl⟩; exact algebraMap_mem (adjoin S s) x
@[simp]
theorem adjoin_top {A} [Semiring A] [Algebra S A] (t : Set A) :
adjoin (⊤ : Subalgebra R S) t = (adjoin S t).restrictScalars (⊤ : Subalgebra R S) :=
let equivTop : Subalgebra (⊤ : Subalgebra R S) A ≃o Subalgebra S A :=
{ toFun := fun s => { s with algebraMap_mem' := fun r => s.algebraMap_mem ⟨r, trivial⟩ }
invFun := fun s => s.restrictScalars _
left_inv := fun _ => SetLike.coe_injective rfl
right_inv := fun _ => SetLike.coe_injective rfl
map_rel_iff' := @fun _ _ => Iff.rfl }
le_antisymm
(adjoin_le <| show t ⊆ adjoin S t from subset_adjoin)
(equivTop.symm_apply_le.mpr <|
adjoin_le <| show t ⊆ adjoin (⊤ : Subalgebra R S) t from subset_adjoin)
end Semiring
section CommSemiring
variable [CommSemiring R] [CommSemiring A]
variable [Algebra R A] {s t : Set A}
variable (R s t)
theorem adjoin_union_eq_adjoin_adjoin :
adjoin R (s ∪ t) = (adjoin (adjoin R s) t).restrictScalars R := by
simpa using adjoin_algebraMap_image_union_eq_adjoin_adjoin R s t
variable {R}
theorem pow_smul_mem_of_smul_subset_of_mem_adjoin [CommSemiring B] [Algebra R B] [Algebra A B]
[IsScalarTower R A B] (r : A) (s : Set B) (B' : Subalgebra R B) (hs : r • s ⊆ B') {x : B}
(hx : x ∈ adjoin R s) (hr : algebraMap A B r ∈ B') : ∃ n₀ : ℕ, ∀ n ≥ n₀, r ^ n • x ∈ B' := by
change x ∈ Subalgebra.toSubmodule (adjoin R s) at hx
rw [adjoin_eq_span, Finsupp.mem_span_iff_linearCombination] at hx
rcases hx with ⟨l, rfl : (l.sum fun (i : Submonoid.closure s) (c : R) => c • (i : B)) = x⟩
choose n₁ n₂ using fun x : Submonoid.closure s => Submonoid.pow_smul_mem_closure_smul r s x.prop
use l.support.sup n₁
intro n hn
rw [Finsupp.smul_sum]
refine B'.toSubmodule.sum_mem ?_
intro a ha
have : n ≥ n₁ a := le_trans (Finset.le_sup ha) hn
dsimp only
rw [← tsub_add_cancel_of_le this, pow_add, ← smul_smul, ←
IsScalarTower.algebraMap_smul A (l a) (a : B), smul_smul (r ^ n₁ a), mul_comm, ← smul_smul,
smul_def, map_pow, IsScalarTower.algebraMap_smul]
apply Subalgebra.mul_mem _ (Subalgebra.pow_mem _ hr _) _
refine Subalgebra.smul_mem _ ?_ _
change _ ∈ B'.toSubmonoid
rw [← Submonoid.closure_eq B'.toSubmonoid]
apply Submonoid.closure_mono hs (n₂ a)
theorem pow_smul_mem_adjoin_smul (r : R) (s : Set A) {x : A} (hx : x ∈ adjoin R s) :
∃ n₀ : ℕ, ∀ n ≥ n₀, r ^ n • x ∈ adjoin R (r • s) :=
pow_smul_mem_of_smul_subset_of_mem_adjoin r s _ subset_adjoin hx (Subalgebra.algebraMap_mem _ _)
lemma adjoin_nonUnitalSubalgebra_eq_span (s : NonUnitalSubalgebra R A) :
Subalgebra.toSubmodule (adjoin R (s : Set A)) = span R {1} ⊔ s.toSubmodule := by
rw [adjoin_eq_span, Submonoid.closure_eq_one_union, span_union, ← NonUnitalAlgebra.adjoin_eq_span,
NonUnitalAlgebra.adjoin_eq]
end CommSemiring
end Algebra
open Algebra Subalgebra
section
variable (F E : Type*) {K : Type*} [CommSemiring E] [Semiring K] [SMul F E] [Algebra E K]
variable [CommSemiring F] [Algebra F K] [IsScalarTower F E K] (L : Subalgebra F K) {F}
/-- If `K / E / F` is a ring extension tower, `L` is a subalgebra of `K / F`,
then `E[L]` is generated by any basis of `L / F` as an `E`-module. -/
theorem Subalgebra.adjoin_eq_span_basis {ι : Type*} (bL : Basis ι F L) :
toSubmodule (adjoin E (L : Set K)) = span E (Set.range fun i : ι ↦ (bL i).1) :=
L.adjoin_eq_span_of_eq_span E <| by
simpa only [← L.range_val, Submodule.map_span, Submodule.map_top, ← Set.range_comp]
using congr_arg (Submodule.map L.val) bL.span_eq.symm
theorem Algebra.restrictScalars_adjoin (F : Type*) [CommSemiring F] {E : Type*} [CommSemiring E]
[Algebra F E] (K : Subalgebra F E) (S : Set E) :
(Algebra.adjoin K S).restrictScalars F = Algebra.adjoin F (K ∪ S) := by
conv_lhs => rw [← Algebra.adjoin_eq K, ← Algebra.adjoin_union_eq_adjoin_adjoin]
/-- If `E / L / F` and `E / L' / F` are two ring extension towers, `L ≃ₐ[F] L'` is an isomorphism
compatible with `E / L` and `E / L'`, then for any subset `S` of `E`, `L[S]` and `L'[S]` are
equal as subalgebras of `E / F`. -/
theorem Algebra.restrictScalars_adjoin_of_algEquiv
{F E L L' : Type*} [CommSemiring F] [CommSemiring L] [CommSemiring L'] [Semiring E]
[Algebra F L] [Algebra L E] [Algebra F L'] [Algebra L' E] [Algebra F E]
[IsScalarTower F L E] [IsScalarTower F L' E] (i : L ≃ₐ[F] L')
(hi : algebraMap L E = (algebraMap L' E) ∘ i) (S : Set E) :
(Algebra.adjoin L S).restrictScalars F = (Algebra.adjoin L' S).restrictScalars F := by
apply_fun Subalgebra.toSubsemiring using fun K K' h ↦ by rwa [SetLike.ext'_iff] at h ⊢
change Subsemiring.closure _ = Subsemiring.closure _
rw [hi, Set.range_comp, EquivLike.range_eq_univ, Set.image_univ]
end
| Mathlib/RingTheory/Adjoin/Basic.lean | 538 | 541 | |
/-
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, Kim Morrison, Jens Wagemaker
-/
import Mathlib.Algebra.Field.IsField
import Mathlib.Algebra.Polynomial.Inductions
import Mathlib.Algebra.Polynomial.Monic
import Mathlib.Algebra.Ring.Regular
import Mathlib.RingTheory.Multiplicity
import Mathlib.Data.Nat.Lattice
/-!
# Division of univariate polynomials
The main defs are `divByMonic` and `modByMonic`.
The compatibility between these is given by `modByMonic_add_div`.
We also define `rootMultiplicity`.
-/
noncomputable section
open Polynomial
open Finset
namespace Polynomial
universe u v w z
variable {R : Type u} {S : Type v} {T : Type w} {A : Type z} {a b : R} {n : ℕ}
section Semiring
variable [Semiring R]
theorem X_dvd_iff {f : R[X]} : X ∣ f ↔ f.coeff 0 = 0 :=
⟨fun ⟨g, hfg⟩ => by rw [hfg, coeff_X_mul_zero], fun hf =>
⟨f.divX, by rw [← add_zero (X * f.divX), ← C_0, ← hf, X_mul_divX_add]⟩⟩
theorem X_pow_dvd_iff {f : R[X]} {n : ℕ} : X ^ n ∣ f ↔ ∀ d < n, f.coeff d = 0 :=
⟨fun ⟨g, hgf⟩ d hd => by
simp only [hgf, coeff_X_pow_mul', ite_eq_right_iff, not_le_of_lt hd, IsEmpty.forall_iff],
fun hd => by
induction n with
| zero => simp [pow_zero, one_dvd]
| succ n hn =>
obtain ⟨g, hgf⟩ := hn fun d : ℕ => fun H : d < n => hd _ (Nat.lt_succ_of_lt H)
have := coeff_X_pow_mul g n 0
rw [zero_add, ← hgf, hd n (Nat.lt_succ_self n)] at this
obtain ⟨k, hgk⟩ := Polynomial.X_dvd_iff.mpr this.symm
use k
rwa [pow_succ, mul_assoc, ← hgk]⟩
variable {p q : R[X]}
theorem finiteMultiplicity_of_degree_pos_of_monic (hp : (0 : WithBot ℕ) < degree p) (hmp : Monic p)
(hq : q ≠ 0) : FiniteMultiplicity p q :=
have zn0 : (0 : R) ≠ 1 :=
haveI := Nontrivial.of_polynomial_ne hq
zero_ne_one
⟨natDegree q, fun ⟨r, hr⟩ => by
have hp0 : p ≠ 0 := fun hp0 => by simp [hp0] at hp
have hr0 : r ≠ 0 := fun hr0 => by subst hr0; simp [hq] at hr
have hpn1 : leadingCoeff p ^ (natDegree q + 1) = 1 := by simp [show _ = _ from hmp]
have hpn0' : leadingCoeff p ^ (natDegree q + 1) ≠ 0 := hpn1.symm ▸ zn0.symm
have hpnr0 : leadingCoeff (p ^ (natDegree q + 1)) * leadingCoeff r ≠ 0 := by
simp only [leadingCoeff_pow' hpn0', leadingCoeff_eq_zero, hpn1, one_pow, one_mul, Ne,
hr0, not_false_eq_true]
have hnp : 0 < natDegree p := Nat.cast_lt.1 <| by
rw [← degree_eq_natDegree hp0]; exact hp
have := congr_arg natDegree hr
rw [natDegree_mul' hpnr0, natDegree_pow' hpn0', add_mul, add_assoc] at this
exact
ne_of_lt
(lt_add_of_le_of_pos (le_mul_of_one_le_right (Nat.zero_le _) hnp)
(add_pos_of_pos_of_nonneg (by rwa [one_mul]) (Nat.zero_le _)))
this⟩
@[deprecated (since := "2024-11-30")]
alias multiplicity_finite_of_degree_pos_of_monic := finiteMultiplicity_of_degree_pos_of_monic
end Semiring
section Ring
variable [Ring R] {p q : R[X]}
theorem div_wf_lemma (h : degree q ≤ degree p ∧ p ≠ 0) (hq : Monic q) :
degree (p - q * (C (leadingCoeff p) * X ^ (natDegree p - natDegree q))) < degree p :=
have hp : leadingCoeff p ≠ 0 := mt leadingCoeff_eq_zero.1 h.2
have hq0 : q ≠ 0 := hq.ne_zero_of_polynomial_ne h.2
have hlt : natDegree q ≤ natDegree p :=
(Nat.cast_le (α := WithBot ℕ)).1
(by rw [← degree_eq_natDegree h.2, ← degree_eq_natDegree hq0]; exact h.1)
degree_sub_lt
(by
rw [hq.degree_mul_comm, hq.degree_mul, degree_C_mul_X_pow _ hp, degree_eq_natDegree h.2,
degree_eq_natDegree hq0, ← Nat.cast_add, tsub_add_cancel_of_le hlt])
h.2 (by rw [leadingCoeff_monic_mul hq, leadingCoeff_mul_X_pow, leadingCoeff_C])
/-- See `divByMonic`. -/
noncomputable def divModByMonicAux : ∀ (_p : R[X]) {q : R[X]}, Monic q → R[X] × R[X]
| p, q, hq =>
letI := Classical.decEq R
if h : degree q ≤ degree p ∧ p ≠ 0 then
let z := C (leadingCoeff p) * X ^ (natDegree p - natDegree q)
have _wf := div_wf_lemma h hq
let dm := divModByMonicAux (p - q * z) hq
⟨z + dm.1, dm.2⟩
else ⟨0, p⟩
termination_by p => p
/-- `divByMonic`, denoted as `p /ₘ q`, gives the quotient of `p` by a monic polynomial `q`. -/
def divByMonic (p q : R[X]) : R[X] :=
letI := Classical.decEq R
if hq : Monic q then (divModByMonicAux p hq).1 else 0
/-- `modByMonic`, denoted as `p %ₘ q`, gives the remainder of `p` by a monic polynomial `q`. -/
def modByMonic (p q : R[X]) : R[X] :=
letI := Classical.decEq R
if hq : Monic q then (divModByMonicAux p hq).2 else p
@[inherit_doc]
infixl:70 " /ₘ " => divByMonic
@[inherit_doc]
infixl:70 " %ₘ " => modByMonic
theorem degree_modByMonic_lt [Nontrivial R] :
∀ (p : R[X]) {q : R[X]} (_hq : Monic q), degree (p %ₘ q) < degree q
| p, q, hq =>
letI := Classical.decEq R
if h : degree q ≤ degree p ∧ p ≠ 0 then by
have _wf := div_wf_lemma ⟨h.1, h.2⟩ hq
have :=
degree_modByMonic_lt (p - q * (C (leadingCoeff p) * X ^ (natDegree p - natDegree q))) hq
unfold modByMonic at this ⊢
unfold divModByMonicAux
dsimp
rw [dif_pos hq] at this ⊢
rw [if_pos h]
exact this
else
Or.casesOn (not_and_or.1 h)
(by
unfold modByMonic divModByMonicAux
dsimp
rw [dif_pos hq, if_neg h]
exact lt_of_not_ge)
(by
intro hp
unfold modByMonic divModByMonicAux
dsimp
rw [dif_pos hq, if_neg h, Classical.not_not.1 hp]
exact lt_of_le_of_ne bot_le (Ne.symm (mt degree_eq_bot.1 hq.ne_zero)))
termination_by p => p
theorem natDegree_modByMonic_lt (p : R[X]) {q : R[X]} (hmq : Monic q) (hq : q ≠ 1) :
natDegree (p %ₘ q) < q.natDegree := by
by_cases hpq : p %ₘ q = 0
· rw [hpq, natDegree_zero, Nat.pos_iff_ne_zero]
contrapose! hq
exact eq_one_of_monic_natDegree_zero hmq hq
· haveI := Nontrivial.of_polynomial_ne hpq
exact natDegree_lt_natDegree hpq (degree_modByMonic_lt p hmq)
@[simp]
theorem zero_modByMonic (p : R[X]) : 0 %ₘ p = 0 := by
classical
unfold modByMonic divModByMonicAux
dsimp
by_cases hp : Monic p
· rw [dif_pos hp, if_neg (mt And.right (not_not_intro rfl)), Prod.snd_zero]
· rw [dif_neg hp]
@[simp]
theorem zero_divByMonic (p : R[X]) : 0 /ₘ p = 0 := by
classical
unfold divByMonic divModByMonicAux
dsimp
by_cases hp : Monic p
· rw [dif_pos hp, if_neg (mt And.right (not_not_intro rfl)), Prod.fst_zero]
· rw [dif_neg hp]
@[simp]
theorem modByMonic_zero (p : R[X]) : p %ₘ 0 = p :=
letI := Classical.decEq R
if h : Monic (0 : R[X]) then by
haveI := monic_zero_iff_subsingleton.mp h
simp [eq_iff_true_of_subsingleton]
else by unfold modByMonic divModByMonicAux; rw [dif_neg h]
@[simp]
theorem divByMonic_zero (p : R[X]) : p /ₘ 0 = 0 :=
letI := Classical.decEq R
if h : Monic (0 : R[X]) then by
haveI := monic_zero_iff_subsingleton.mp h
simp [eq_iff_true_of_subsingleton]
else by unfold divByMonic divModByMonicAux; rw [dif_neg h]
theorem divByMonic_eq_of_not_monic (p : R[X]) (hq : ¬Monic q) : p /ₘ q = 0 :=
dif_neg hq
theorem modByMonic_eq_of_not_monic (p : R[X]) (hq : ¬Monic q) : p %ₘ q = p :=
dif_neg hq
theorem modByMonic_eq_self_iff [Nontrivial R] (hq : Monic q) : p %ₘ q = p ↔ degree p < degree q :=
⟨fun h => h ▸ degree_modByMonic_lt _ hq, fun h => by
classical
have : ¬degree q ≤ degree p := not_le_of_gt h
unfold modByMonic divModByMonicAux; dsimp; rw [dif_pos hq, if_neg (mt And.left this)]⟩
theorem degree_modByMonic_le (p : R[X]) {q : R[X]} (hq : Monic q) : degree (p %ₘ q) ≤ degree q := by
nontriviality R
exact (degree_modByMonic_lt _ hq).le
theorem degree_modByMonic_le_left : degree (p %ₘ q) ≤ degree p := by
nontriviality R
by_cases hq : q.Monic
· cases lt_or_ge (degree p) (degree q)
· rw [(modByMonic_eq_self_iff hq).mpr ‹_›]
· exact (degree_modByMonic_le p hq).trans ‹_›
· rw [modByMonic_eq_of_not_monic p hq]
theorem natDegree_modByMonic_le (p : Polynomial R) {g : Polynomial R} (hg : g.Monic) :
natDegree (p %ₘ g) ≤ g.natDegree :=
natDegree_le_natDegree (degree_modByMonic_le p hg)
theorem natDegree_modByMonic_le_left : natDegree (p %ₘ q) ≤ natDegree p :=
natDegree_le_natDegree degree_modByMonic_le_left
theorem X_dvd_sub_C : X ∣ p - C (p.coeff 0) := by
simp [X_dvd_iff, coeff_C]
theorem modByMonic_eq_sub_mul_div :
∀ (p : R[X]) {q : R[X]} (_hq : Monic q), p %ₘ q = p - q * (p /ₘ q)
| p, q, hq =>
letI := Classical.decEq R
if h : degree q ≤ degree p ∧ p ≠ 0 then by
have _wf := div_wf_lemma h hq
have ih := modByMonic_eq_sub_mul_div
(p - q * (C (leadingCoeff p) * X ^ (natDegree p - natDegree q))) hq
unfold modByMonic divByMonic divModByMonicAux
dsimp
rw [dif_pos hq, if_pos h]
rw [modByMonic, dif_pos hq] at ih
refine ih.trans ?_
unfold divByMonic
rw [dif_pos hq, dif_pos hq, if_pos h, mul_add, sub_add_eq_sub_sub]
else by
unfold modByMonic divByMonic divModByMonicAux
dsimp
rw [dif_pos hq, if_neg h, dif_pos hq, if_neg h, mul_zero, sub_zero]
termination_by p => p
theorem modByMonic_add_div (p : R[X]) {q : R[X]} (hq : Monic q) : p %ₘ q + q * (p /ₘ q) = p :=
eq_sub_iff_add_eq.1 (modByMonic_eq_sub_mul_div p hq)
theorem divByMonic_eq_zero_iff [Nontrivial R] (hq : Monic q) : p /ₘ q = 0 ↔ degree p < degree q :=
⟨fun h => by
have := modByMonic_add_div p hq
rwa [h, mul_zero, add_zero, modByMonic_eq_self_iff hq] at this,
fun h => by
classical
have : ¬degree q ≤ degree p := not_le_of_gt h
unfold divByMonic divModByMonicAux; dsimp; rw [dif_pos hq, if_neg (mt And.left this)]⟩
theorem degree_add_divByMonic (hq : Monic q) (h : degree q ≤ degree p) :
degree q + degree (p /ₘ q) = degree p := by
nontriviality R
have hdiv0 : p /ₘ q ≠ 0 := by rwa [Ne, divByMonic_eq_zero_iff hq, not_lt]
have hlc : leadingCoeff q * leadingCoeff (p /ₘ q) ≠ 0 := by
rwa [Monic.def.1 hq, one_mul, Ne, leadingCoeff_eq_zero]
have hmod : degree (p %ₘ q) < degree (q * (p /ₘ q)) :=
calc
degree (p %ₘ q) < degree q := degree_modByMonic_lt _ hq
_ ≤ _ := by
rw [degree_mul' hlc, degree_eq_natDegree hq.ne_zero, degree_eq_natDegree hdiv0, ←
Nat.cast_add, Nat.cast_le]
exact Nat.le_add_right _ _
calc
degree q + degree (p /ₘ q) = degree (q * (p /ₘ q)) := Eq.symm (degree_mul' hlc)
_ = degree (p %ₘ q + q * (p /ₘ q)) := (degree_add_eq_right_of_degree_lt hmod).symm
_ = _ := congr_arg _ (modByMonic_add_div _ hq)
theorem degree_divByMonic_le (p q : R[X]) : degree (p /ₘ q) ≤ degree p :=
letI := Classical.decEq R
if hp0 : p = 0 then by simp only [hp0, zero_divByMonic, le_refl]
else
if hq : Monic q then
if h : degree q ≤ degree p then by
haveI := Nontrivial.of_polynomial_ne hp0
rw [← degree_add_divByMonic hq h, degree_eq_natDegree hq.ne_zero,
degree_eq_natDegree (mt (divByMonic_eq_zero_iff hq).1 (not_lt.2 h))]
exact WithBot.coe_le_coe.2 (Nat.le_add_left _ _)
else by
unfold divByMonic divModByMonicAux
simp [dif_pos hq, h, if_false, degree_zero, bot_le]
else (divByMonic_eq_of_not_monic p hq).symm ▸ bot_le
theorem degree_divByMonic_lt (p : R[X]) {q : R[X]} (hq : Monic q) (hp0 : p ≠ 0)
(h0q : 0 < degree q) : degree (p /ₘ q) < degree p :=
if hpq : degree p < degree q then by
haveI := Nontrivial.of_polynomial_ne hp0
rw [(divByMonic_eq_zero_iff hq).2 hpq, degree_eq_natDegree hp0]
exact WithBot.bot_lt_coe _
else by
haveI := Nontrivial.of_polynomial_ne hp0
rw [← degree_add_divByMonic hq (not_lt.1 hpq), degree_eq_natDegree hq.ne_zero,
degree_eq_natDegree (mt (divByMonic_eq_zero_iff hq).1 hpq)]
exact
Nat.cast_lt.2
(Nat.lt_add_of_pos_left (Nat.cast_lt.1 <|
by simpa [degree_eq_natDegree hq.ne_zero] using h0q))
theorem natDegree_divByMonic (f : R[X]) {g : R[X]} (hg : g.Monic) :
natDegree (f /ₘ g) = natDegree f - natDegree g := by
nontriviality R
by_cases hfg : f /ₘ g = 0
· rw [hfg, natDegree_zero]
rw [divByMonic_eq_zero_iff hg] at hfg
rw [tsub_eq_zero_iff_le.mpr (natDegree_le_natDegree <| le_of_lt hfg)]
have hgf := hfg
rw [divByMonic_eq_zero_iff hg] at hgf
push_neg at hgf
have := degree_add_divByMonic hg hgf
have hf : f ≠ 0 := by
intro hf
apply hfg
rw [hf, zero_divByMonic]
rw [degree_eq_natDegree hf, degree_eq_natDegree hg.ne_zero, degree_eq_natDegree hfg,
← Nat.cast_add, Nat.cast_inj] at this
rw [← this, add_tsub_cancel_left]
theorem div_modByMonic_unique {f g} (q r : R[X]) (hg : Monic g)
(h : r + g * q = f ∧ degree r < degree g) : f /ₘ g = q ∧ f %ₘ g = r := by
nontriviality R
have h₁ : r - f %ₘ g = -g * (q - f /ₘ g) :=
eq_of_sub_eq_zero
(by
rw [← sub_eq_zero_of_eq (h.1.trans (modByMonic_add_div f hg).symm)]
simp [mul_add, mul_comm, sub_eq_add_neg, add_comm, add_left_comm, add_assoc])
have h₂ : degree (r - f %ₘ g) = degree (g * (q - f /ₘ g)) := by simp [h₁]
have h₄ : degree (r - f %ₘ g) < degree g :=
calc
degree (r - f %ₘ g) ≤ max (degree r) (degree (f %ₘ g)) := degree_sub_le _ _
_ < degree g := max_lt_iff.2 ⟨h.2, degree_modByMonic_lt _ hg⟩
have h₅ : q - f /ₘ g = 0 :=
_root_.by_contradiction fun hqf =>
not_le_of_gt h₄ <|
calc
degree g ≤ degree g + degree (q - f /ₘ g) := by
rw [degree_eq_natDegree hg.ne_zero, degree_eq_natDegree hqf]
norm_cast
exact Nat.le_add_right _ _
_ = degree (r - f %ₘ g) := by rw [h₂, degree_mul']; simpa [Monic.def.1 hg]
exact ⟨Eq.symm <| eq_of_sub_eq_zero h₅, Eq.symm <| eq_of_sub_eq_zero <| by simpa [h₅] using h₁⟩
theorem map_mod_divByMonic [Ring S] (f : R →+* S) (hq : Monic q) :
(p /ₘ q).map f = p.map f /ₘ q.map f ∧ (p %ₘ q).map f = p.map f %ₘ q.map f := by
nontriviality S
haveI : Nontrivial R := f.domain_nontrivial
have : map f p /ₘ map f q = map f (p /ₘ q) ∧ map f p %ₘ map f q = map f (p %ₘ q) :=
div_modByMonic_unique ((p /ₘ q).map f) _ (hq.map f)
⟨Eq.symm <| by rw [← Polynomial.map_mul, ← Polynomial.map_add, modByMonic_add_div _ hq],
calc
_ ≤ degree (p %ₘ q) := degree_map_le
_ < degree q := degree_modByMonic_lt _ hq
_ = _ :=
Eq.symm <|
degree_map_eq_of_leadingCoeff_ne_zero _
(by rw [Monic.def.1 hq, f.map_one]; exact one_ne_zero)⟩
exact ⟨this.1.symm, this.2.symm⟩
theorem map_divByMonic [Ring S] (f : R →+* S) (hq : Monic q) :
(p /ₘ q).map f = p.map f /ₘ q.map f :=
(map_mod_divByMonic f hq).1
theorem map_modByMonic [Ring S] (f : R →+* S) (hq : Monic q) :
(p %ₘ q).map f = p.map f %ₘ q.map f :=
(map_mod_divByMonic f hq).2
theorem modByMonic_eq_zero_iff_dvd (hq : Monic q) : p %ₘ q = 0 ↔ q ∣ p :=
⟨fun h => by rw [← modByMonic_add_div p hq, h, zero_add]; exact dvd_mul_right _ _, fun h => by
nontriviality R
obtain ⟨r, hr⟩ := exists_eq_mul_right_of_dvd h
by_contra hpq0
have hmod : p %ₘ q = q * (r - p /ₘ q) := by rw [modByMonic_eq_sub_mul_div _ hq, mul_sub, ← hr]
have : degree (q * (r - p /ₘ q)) < degree q := hmod ▸ degree_modByMonic_lt _ hq
have hrpq0 : leadingCoeff (r - p /ₘ q) ≠ 0 := fun h =>
hpq0 <|
leadingCoeff_eq_zero.1
(by rw [hmod, leadingCoeff_eq_zero.1 h, mul_zero, leadingCoeff_zero])
have hlc : leadingCoeff q * leadingCoeff (r - p /ₘ q) ≠ 0 := by rwa [Monic.def.1 hq, one_mul]
rw [degree_mul' hlc, degree_eq_natDegree hq.ne_zero,
degree_eq_natDegree (mt leadingCoeff_eq_zero.2 hrpq0)] at this
exact not_lt_of_ge (Nat.le_add_right _ _) (WithBot.coe_lt_coe.1 this)⟩
/-- See `Polynomial.mul_self_modByMonic` for the other multiplication order. That version, unlike
this one, requires commutativity. -/
@[simp]
lemma self_mul_modByMonic (hq : q.Monic) : (q * p) %ₘ q = 0 := by
rw [modByMonic_eq_zero_iff_dvd hq]
exact dvd_mul_right q p
theorem map_dvd_map [Ring S] (f : R →+* S) (hf : Function.Injective f) {x y : R[X]}
(hx : x.Monic) : x.map f ∣ y.map f ↔ x ∣ y := by
rw [← modByMonic_eq_zero_iff_dvd hx, ← modByMonic_eq_zero_iff_dvd (hx.map f), ←
map_modByMonic f hx]
exact
⟨fun H => map_injective f hf <| by rw [H, Polynomial.map_zero], fun H => by
rw [H, Polynomial.map_zero]⟩
@[simp]
theorem modByMonic_one (p : R[X]) : p %ₘ 1 = 0 :=
(modByMonic_eq_zero_iff_dvd (by convert monic_one (R := R))).2 (one_dvd _)
@[simp]
theorem divByMonic_one (p : R[X]) : p /ₘ 1 = p := by
conv_rhs => rw [← modByMonic_add_div p monic_one]; simp
theorem sum_modByMonic_coeff (hq : q.Monic) {n : ℕ} (hn : q.degree ≤ n) :
(∑ i : Fin n, monomial i ((p %ₘ q).coeff i)) = p %ₘ q := by
nontriviality R
exact
(sum_fin (fun i c => monomial i c) (by simp) ((degree_modByMonic_lt _ hq).trans_le hn)).trans
(sum_monomial_eq _)
theorem mul_divByMonic_cancel_left (p : R[X]) {q : R[X]} (hmo : q.Monic) :
q * p /ₘ q = p := by
nontriviality R
refine (div_modByMonic_unique _ 0 hmo ⟨by rw [zero_add], ?_⟩).1
rw [degree_zero]
exact Ne.bot_lt fun h => hmo.ne_zero (degree_eq_bot.1 h)
lemma coeff_divByMonic_X_sub_C_rec (p : R[X]) (a : R) (n : ℕ) :
(p /ₘ (X - C a)).coeff n = coeff p (n + 1) + a * (p /ₘ (X - C a)).coeff (n + 1) := by
nontriviality R
have := monic_X_sub_C a
set q := p /ₘ (X - C a)
rw [← p.modByMonic_add_div this]
have : degree (p %ₘ (X - C a)) < ↑(n + 1) := degree_X_sub_C a ▸ p.degree_modByMonic_lt this
|>.trans_le <| WithBot.coe_le_coe.mpr le_add_self
simp [q, sub_mul, add_sub, coeff_eq_zero_of_degree_lt this]
theorem coeff_divByMonic_X_sub_C (p : R[X]) (a : R) (n : ℕ) :
(p /ₘ (X - C a)).coeff n = ∑ i ∈ Icc (n + 1) p.natDegree, a ^ (i - (n + 1)) * p.coeff i := by
wlog h : p.natDegree ≤ n generalizing n
· refine Nat.decreasingInduction' (fun n hn _ ih ↦ ?_) (le_of_not_le h) ?_
· rw [coeff_divByMonic_X_sub_C_rec, ih, eq_comm, Icc_eq_cons_Ioc (Nat.succ_le.mpr hn),
sum_cons, Nat.sub_self, pow_zero, one_mul, mul_sum]
congr 1; refine sum_congr ?_ fun i hi ↦ ?_
· ext; simp [Nat.succ_le]
rw [← mul_assoc, ← pow_succ', eq_comm, i.sub_succ', Nat.sub_add_cancel]
apply Nat.le_sub_of_add_le
rw [add_comm]; exact (mem_Icc.mp hi).1
· exact this _ le_rfl
rw [Icc_eq_empty (Nat.lt_succ.mpr h).not_le, sum_empty]
nontriviality R
by_cases hp : p.natDegree = 0
· rw [(divByMonic_eq_zero_iff <| monic_X_sub_C a).mpr, coeff_zero]
apply degree_lt_degree; rw [hp, natDegree_X_sub_C]; norm_num
· apply coeff_eq_zero_of_natDegree_lt
rw [natDegree_divByMonic p (monic_X_sub_C a), natDegree_X_sub_C]
exact (Nat.pred_lt hp).trans_le h
variable (R) in
theorem not_isField : ¬IsField R[X] := by
nontriviality R
intro h
letI := h.toField
simpa using congr_arg natDegree (monic_X.eq_one_of_isUnit <| monic_X (R := R).ne_zero.isUnit)
section multiplicity
/-- An algorithm for deciding polynomial divisibility.
The algorithm is "compute `p %ₘ q` and compare to `0`".
See `Polynomial.modByMonic` for the algorithm that computes `%ₘ`.
-/
def decidableDvdMonic [DecidableEq R] (p : R[X]) (hq : Monic q) : Decidable (q ∣ p) :=
decidable_of_iff (p %ₘ q = 0) (modByMonic_eq_zero_iff_dvd hq)
theorem finiteMultiplicity_X_sub_C (a : R) (h0 : p ≠ 0) : FiniteMultiplicity (X - C a) p := by
haveI := Nontrivial.of_polynomial_ne h0
refine finiteMultiplicity_of_degree_pos_of_monic ?_ (monic_X_sub_C _) h0
rw [degree_X_sub_C]
decide
@[deprecated (since := "2024-11-30")]
alias multiplicity_X_sub_C_finite := finiteMultiplicity_X_sub_C
/- Porting note: stripping out classical for decidability instance parameter might
make for better ergonomics -/
/-- The largest power of `X - C a` which divides `p`.
This *could be* computable via the divisibility algorithm `Polynomial.decidableDvdMonic`,
as shown by `Polynomial.rootMultiplicity_eq_nat_find_of_nonzero` which has a computable RHS. -/
def rootMultiplicity (a : R) (p : R[X]) : ℕ :=
letI := Classical.decEq R
if h0 : p = 0 then 0
else
let _ : DecidablePred fun n : ℕ => ¬(X - C a) ^ (n + 1) ∣ p := fun n =>
have := decidableDvdMonic p ((monic_X_sub_C a).pow (n + 1))
inferInstanceAs (Decidable ¬_)
Nat.find (finiteMultiplicity_X_sub_C a h0)
/- Porting note: added the following due to diamond with decidableProp and
decidableDvdMonic see also [Zulip]
(https://leanprover.zulipchat.com/#narrow/stream/287929-mathlib4/topic/non-defeq.20aliased.20instance) -/
theorem rootMultiplicity_eq_nat_find_of_nonzero [DecidableEq R] {p : R[X]} (p0 : p ≠ 0) {a : R} :
letI : DecidablePred fun n : ℕ => ¬(X - C a) ^ (n + 1) ∣ p := fun n =>
have := decidableDvdMonic p ((monic_X_sub_C a).pow (n + 1))
inferInstanceAs (Decidable ¬_)
rootMultiplicity a p = Nat.find (finiteMultiplicity_X_sub_C a p0) := by
dsimp [rootMultiplicity]
cases Subsingleton.elim ‹DecidableEq R› (Classical.decEq R)
rw [dif_neg p0]
theorem rootMultiplicity_eq_multiplicity [DecidableEq R]
(p : R[X]) (a : R) :
rootMultiplicity a p =
if p = 0 then 0 else multiplicity (X - C a) p := by
simp only [rootMultiplicity, multiplicity, emultiplicity]
split
· rfl
rename_i h
simp only [finiteMultiplicity_X_sub_C a h, ↓reduceDIte]
rw [← ENat.some_eq_coe, WithTop.untopD_coe]
congr
@[simp]
theorem rootMultiplicity_zero {x : R} : rootMultiplicity x 0 = 0 :=
dif_pos rfl
@[simp]
theorem rootMultiplicity_C (r a : R) : rootMultiplicity a (C r) = 0 := by
cases subsingleton_or_nontrivial R
· rw [Subsingleton.elim (C r) 0, rootMultiplicity_zero]
classical
rw [rootMultiplicity_eq_multiplicity]
split_ifs with hr
· rfl
have h : natDegree (C r) < natDegree (X - C a) := by simp
simp_rw [multiplicity_eq_zero.mpr ((monic_X_sub_C a).not_dvd_of_natDegree_lt hr h)]
theorem pow_rootMultiplicity_dvd (p : R[X]) (a : R) : (X - C a) ^ rootMultiplicity a p ∣ p :=
letI := Classical.decEq R
if h : p = 0 then by simp [h]
else by
classical
rw [rootMultiplicity_eq_multiplicity, if_neg h]; apply pow_multiplicity_dvd
theorem pow_mul_divByMonic_rootMultiplicity_eq (p : R[X]) (a : R) :
(X - C a) ^ rootMultiplicity a p * (p /ₘ (X - C a) ^ rootMultiplicity a p) = p := by
have : Monic ((X - C a) ^ rootMultiplicity a p) := (monic_X_sub_C _).pow _
conv_rhs =>
rw [← modByMonic_add_div p this,
(modByMonic_eq_zero_iff_dvd this).2 (pow_rootMultiplicity_dvd _ _)]
simp
theorem exists_eq_pow_rootMultiplicity_mul_and_not_dvd (p : R[X]) (hp : p ≠ 0) (a : R) :
∃ q : R[X], p = (X - C a) ^ p.rootMultiplicity a * q ∧ ¬ (X - C a) ∣ q := by
classical
rw [rootMultiplicity_eq_multiplicity, if_neg hp]
apply (finiteMultiplicity_X_sub_C a hp).exists_eq_pow_mul_and_not_dvd
end multiplicity
end Ring
section CommRing
variable [CommRing R] {p p₁ p₂ q : R[X]}
@[simp]
theorem modByMonic_X_sub_C_eq_C_eval (p : R[X]) (a : R) : p %ₘ (X - C a) = C (p.eval a) := by
nontriviality R
have h : (p %ₘ (X - C a)).eval a = p.eval a := by
rw [modByMonic_eq_sub_mul_div _ (monic_X_sub_C a), eval_sub, eval_mul, eval_sub, eval_X,
eval_C, sub_self, zero_mul, sub_zero]
have : degree (p %ₘ (X - C a)) < 1 :=
degree_X_sub_C a ▸ degree_modByMonic_lt p (monic_X_sub_C a)
have : degree (p %ₘ (X - C a)) ≤ 0 := by
revert this
cases degree (p %ₘ (X - C a))
· exact fun _ => bot_le
· exact fun h => WithBot.coe_le_coe.2 (Nat.le_of_lt_succ (WithBot.coe_lt_coe.1 h))
rw [eq_C_of_degree_le_zero this, eval_C] at h
rw [eq_C_of_degree_le_zero this, h]
theorem mul_divByMonic_eq_iff_isRoot : (X - C a) * (p /ₘ (X - C a)) = p ↔ IsRoot p a :=
.trans
⟨fun h => by rw [← h, eval_mul, eval_sub, eval_X, eval_C, sub_self, zero_mul],
fun h => by
conv_rhs =>
rw [← modByMonic_add_div p (monic_X_sub_C a)]
rw [modByMonic_X_sub_C_eq_C_eval, h, C_0, zero_add]⟩
IsRoot.def.symm
theorem dvd_iff_isRoot : X - C a ∣ p ↔ IsRoot p a :=
⟨fun h => by
rwa [← modByMonic_eq_zero_iff_dvd (monic_X_sub_C _), modByMonic_X_sub_C_eq_C_eval, ← C_0,
C_inj] at h,
fun h => ⟨p /ₘ (X - C a), by rw [mul_divByMonic_eq_iff_isRoot.2 h]⟩⟩
theorem X_sub_C_dvd_sub_C_eval : X - C a ∣ p - C (p.eval a) := by
rw [dvd_iff_isRoot, IsRoot, eval_sub, eval_C, sub_self]
-- TODO: generalize this to Ring. In general, 0 can be replaced by any element in the center of R.
theorem modByMonic_X (p : R[X]) : p %ₘ X = C (p.eval 0) := by
rw [← modByMonic_X_sub_C_eq_C_eval, C_0, sub_zero]
theorem eval₂_modByMonic_eq_self_of_root [CommRing S] {f : R →+* S} {p q : R[X]} (hq : q.Monic)
{x : S} (hx : q.eval₂ f x = 0) : (p %ₘ q).eval₂ f x = p.eval₂ f x := by
rw [modByMonic_eq_sub_mul_div p hq, eval₂_sub, eval₂_mul, hx, zero_mul, sub_zero]
theorem sub_dvd_eval_sub (a b : R) (p : R[X]) : a - b ∣ p.eval a - p.eval b := by
suffices X - C b ∣ p - C (p.eval b) by
simpa only [coe_evalRingHom, eval_sub, eval_X, eval_C] using (evalRingHom a).map_dvd this
simp [dvd_iff_isRoot]
@[simp]
theorem rootMultiplicity_eq_zero_iff {p : R[X]} {x : R} :
rootMultiplicity x p = 0 ↔ IsRoot p x → p = 0 := by
classical
simp only [rootMultiplicity_eq_multiplicity, ite_eq_left_iff,
Nat.cast_zero, multiplicity_eq_zero, dvd_iff_isRoot, not_imp_not]
theorem rootMultiplicity_eq_zero {p : R[X]} {x : R} (h : ¬IsRoot p x) : rootMultiplicity x p = 0 :=
rootMultiplicity_eq_zero_iff.2 fun h' => (h h').elim
@[simp]
theorem rootMultiplicity_pos' {p : R[X]} {x : R} :
0 < rootMultiplicity x p ↔ p ≠ 0 ∧ IsRoot p x := by
rw [pos_iff_ne_zero, Ne, rootMultiplicity_eq_zero_iff, Classical.not_imp, and_comm]
theorem rootMultiplicity_pos {p : R[X]} (hp : p ≠ 0) {x : R} :
0 < rootMultiplicity x p ↔ IsRoot p x :=
rootMultiplicity_pos'.trans (and_iff_right hp)
|
theorem eval_divByMonic_pow_rootMultiplicity_ne_zero {p : R[X]} (a : R) (hp : p ≠ 0) :
eval a (p /ₘ (X - C a) ^ rootMultiplicity a p) ≠ 0 := by
classical
haveI : Nontrivial R := Nontrivial.of_polynomial_ne hp
rw [Ne, ← IsRoot, ← dvd_iff_isRoot]
rintro ⟨q, hq⟩
have := pow_mul_divByMonic_rootMultiplicity_eq p a
rw [hq, ← mul_assoc, ← pow_succ, rootMultiplicity_eq_multiplicity, if_neg hp] at this
| Mathlib/Algebra/Polynomial/Div.lean | 641 | 649 |
/-
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.Algebra.Group.Embedding
import Mathlib.Order.Interval.Multiset
/-!
# Finite intervals of naturals
This file proves that `ℕ` is a `LocallyFiniteOrder` and calculates the cardinality of its
intervals as finsets and fintypes.
## TODO
Some lemmas can be generalized using `OrderedGroup`, `CanonicallyOrderedMul` or `SuccOrder`
and subsequently be moved upstream to `Order.Interval.Finset`.
-/
assert_not_exists Ring
open Finset Nat
variable (a b c : ℕ)
namespace Nat
instance instLocallyFiniteOrder : LocallyFiniteOrder ℕ where
finsetIcc a b := ⟨List.range' a (b + 1 - a), List.nodup_range'⟩
finsetIco a b := ⟨List.range' a (b - a), List.nodup_range'⟩
finsetIoc a b := ⟨List.range' (a + 1) (b - a), List.nodup_range'⟩
finsetIoo a b := ⟨List.range' (a + 1) (b - a - 1), List.nodup_range'⟩
finset_mem_Icc a b x := by rw [Finset.mem_mk, Multiset.mem_coe, List.mem_range'_1]; omega
finset_mem_Ico a b x := by rw [Finset.mem_mk, Multiset.mem_coe, List.mem_range'_1]; omega
finset_mem_Ioc a b x := by rw [Finset.mem_mk, Multiset.mem_coe, List.mem_range'_1]; omega
finset_mem_Ioo a b x := by rw [Finset.mem_mk, Multiset.mem_coe, List.mem_range'_1]; omega
theorem Icc_eq_range' : Icc a b = ⟨List.range' a (b + 1 - a), List.nodup_range'⟩ :=
rfl
theorem Ico_eq_range' : Ico a b = ⟨List.range' a (b - a), List.nodup_range'⟩ :=
rfl
theorem Ioc_eq_range' : Ioc a b = ⟨List.range' (a + 1) (b - a), List.nodup_range'⟩ :=
rfl
theorem Ioo_eq_range' : Ioo a b = ⟨List.range' (a + 1) (b - a - 1), List.nodup_range'⟩ :=
rfl
theorem uIcc_eq_range' :
uIcc a b = ⟨List.range' (min a b) (max a b + 1 - min a b), List.nodup_range'⟩ := rfl
theorem Iio_eq_range : Iio = range := by
ext b x
rw [mem_Iio, mem_range]
@[simp]
theorem Ico_zero_eq_range : Ico 0 = range := by rw [← Nat.bot_eq_zero, ← Iio_eq_Ico, Iio_eq_range]
lemma range_eq_Icc_zero_sub_one (n : ℕ) (hn : n ≠ 0) : range n = Icc 0 (n - 1) := by
ext b
simp_all only [mem_Icc, zero_le, true_and, mem_range]
exact lt_iff_le_pred (zero_lt_of_ne_zero hn)
theorem _root_.Finset.range_eq_Ico : range = Ico 0 :=
Ico_zero_eq_range.symm
theorem range_succ_eq_Icc_zero (n : ℕ) : range (n + 1) = Icc 0 n := by
rw [range_eq_Icc_zero_sub_one _ (Nat.add_one_ne_zero _), Nat.add_sub_cancel_right]
@[simp] lemma card_Icc : #(Icc a b) = b + 1 - a := List.length_range' ..
@[simp] lemma card_Ico : #(Ico a b) = b - a := List.length_range' ..
@[simp] lemma card_Ioc : #(Ioc a b) = b - a := List.length_range' ..
@[simp] lemma card_Ioo : #(Ioo a b) = b - a - 1 := List.length_range' ..
@[simp]
theorem card_uIcc : #(uIcc a b) = (b - a : ℤ).natAbs + 1 :=
(card_Icc _ _).trans <| by rw [← Int.natCast_inj, Int.ofNat_sub] <;> omega
@[simp]
lemma card_Iic : #(Iic b) = b + 1 := by rw [Iic_eq_Icc, card_Icc, Nat.bot_eq_zero, Nat.sub_zero]
@[simp]
theorem card_Iio : #(Iio b) = b := by rw [Iio_eq_Ico, card_Ico, Nat.bot_eq_zero, Nat.sub_zero]
@[deprecated Fintype.card_Icc (since := "2025-03-28")]
theorem card_fintypeIcc : Fintype.card (Set.Icc a b) = b + 1 - a := by simp
@[deprecated Fintype.card_Ico (since := "2025-03-28")]
theorem card_fintypeIco : Fintype.card (Set.Ico a b) = b - a := by simp
@[deprecated Fintype.card_Ioc (since := "2025-03-28")]
theorem card_fintypeIoc : Fintype.card (Set.Ioc a b) = b - a := by simp
@[deprecated Fintype.card_Ioo (since := "2025-03-28")]
theorem card_fintypeIoo : Fintype.card (Set.Ioo a b) = b - a - 1 := by simp
@[deprecated Fintype.card_Iic (since := "2025-03-28")]
theorem card_fintypeIic : Fintype.card (Set.Iic b) = b + 1 := by simp
@[deprecated Fintype.card_Iio (since := "2025-03-28")]
theorem card_fintypeIio : Fintype.card (Set.Iio b) = b := by simp
-- TODO@Yaël: Generalize all the following lemmas to `SuccOrder`
theorem Icc_succ_left : Icc a.succ b = Ioc a b := by
ext x
rw [mem_Icc, mem_Ioc, succ_le_iff]
theorem Ico_succ_right : Ico a b.succ = Icc a b := by
ext x
rw [mem_Ico, mem_Icc, Nat.lt_succ_iff]
theorem Ico_succ_left : Ico a.succ b = Ioo a b := by
ext x
rw [mem_Ico, mem_Ioo, succ_le_iff]
theorem Icc_pred_right {b : ℕ} (h : 0 < b) : Icc a (b - 1) = Ico a b := by
ext x
rw [mem_Icc, mem_Ico, lt_iff_le_pred h]
theorem Ico_succ_succ : Ico a.succ b.succ = Ioc a b := by
ext x
rw [mem_Ico, mem_Ioc, succ_le_iff, Nat.lt_succ_iff]
@[simp]
theorem Ico_succ_singleton : Ico a (a + 1) = {a} := by rw [Ico_succ_right, Icc_self]
@[simp]
theorem Ico_pred_singleton {a : ℕ} (h : 0 < a) : Ico (a - 1) a = {a - 1} := by
rw [← Icc_pred_right _ h, Icc_self]
@[simp]
theorem Ioc_succ_singleton : Ioc b (b + 1) = {b + 1} := by rw [← Nat.Icc_succ_left, Icc_self]
variable {a b c}
lemma mem_Ioc_succ : a ∈ Ioc b (b + 1) ↔ a = b + 1 := by simp
lemma mem_Ioc_succ' (a : Ioc b (b + 1)) : a = ⟨b + 1, mem_Ioc.2 (by omega)⟩ :=
Subtype.val_inj.1 (mem_Ioc_succ.1 a.2)
theorem Ico_succ_right_eq_insert_Ico (h : a ≤ b) : Ico a (b + 1) = insert b (Ico a b) := by
rw [Ico_succ_right, ← Ico_insert_right h]
theorem Ico_insert_succ_left (h : a < b) : insert a (Ico a.succ b) = Ico a b := by
rw [Ico_succ_left, ← Ioo_insert_left h]
lemma Icc_insert_succ_left (h : a ≤ b) : insert a (Icc (a + 1) b) = Icc a b := by
ext x
simp only [mem_insert, mem_Icc]
omega
lemma Icc_insert_succ_right (h : a ≤ b + 1) : insert (b + 1) (Icc a b) = Icc a (b + 1) := by
ext x
simp only [mem_insert, mem_Icc]
omega
theorem image_sub_const_Ico (h : c ≤ a) :
((Ico a b).image fun x => x - c) = Ico (a - c) (b - c) := by
ext x
simp_rw [mem_image, mem_Ico]
refine ⟨?_, fun h ↦ ⟨x + c, by omega⟩⟩
rintro ⟨x, hx, rfl⟩
omega
theorem Ico_image_const_sub_eq_Ico (hac : a ≤ c) :
((Ico a b).image fun x => c - x) = Ico (c + 1 - b) (c + 1 - a) := by
ext x
simp_rw [mem_image, mem_Ico]
refine ⟨?_, fun h ↦ ⟨c - x, by omega⟩⟩
rintro ⟨x, hx, rfl⟩
omega
theorem Ico_succ_left_eq_erase_Ico : Ico a.succ b = erase (Ico a b) a := by
ext x
rw [Ico_succ_left, mem_erase, mem_Ico, mem_Ioo, ← and_assoc, ne_comm,
and_comm (a := a ≠ x), lt_iff_le_and_ne]
theorem mod_injOn_Ico (n a : ℕ) : Set.InjOn (· % a) (Finset.Ico n (n + a)) := by
induction' n with n ih
· simp only [zero_add, Ico_zero_eq_range]
rintro k hk l hl (hkl : k % a = l % a)
simp only [Finset.mem_range, Finset.mem_coe] at hk hl
rwa [mod_eq_of_lt hk, mod_eq_of_lt hl] at hkl
rw [Ico_succ_left_eq_erase_Ico, succ_add, succ_eq_add_one,
Ico_succ_right_eq_insert_Ico (by omega)]
rintro k hk l hl (hkl : k % a = l % a)
have ha : 0 < a := Nat.pos_iff_ne_zero.2 <| by rintro rfl; simp at hk
simp only [Finset.mem_coe, Finset.mem_insert, Finset.mem_erase] at hk hl
rcases hk with ⟨hkn, rfl | hk⟩ <;> rcases hl with ⟨hln, rfl | hl⟩
· rfl
· rw [add_mod_right] at hkl
refine (hln <| ih hl ?_ hkl.symm).elim
simpa using Nat.lt_add_of_pos_right (n := n) ha
· rw [add_mod_right] at hkl
suffices k = n by contradiction
refine ih hk ?_ hkl
simpa using Nat.lt_add_of_pos_right (n := n) ha
· refine ih ?_ ?_ hkl <;> simp only [Finset.mem_coe, hk, hl]
/-- Note that while this lemma cannot be easily generalized to a type class, it holds for ℤ as
well. See `Int.image_Ico_emod` for the ℤ version. -/
theorem image_Ico_mod (n a : ℕ) : (Ico n (n + a)).image (· % a) = range a := by
obtain rfl | ha := eq_or_ne a 0
· rw [range_zero, add_zero, Ico_self, image_empty]
ext i
simp only [mem_image, exists_prop, mem_range, mem_Ico]
constructor
· rintro ⟨i, _, rfl⟩
exact mod_lt i ha.bot_lt
intro hia
have hn := Nat.mod_add_div n a
obtain hi | hi := lt_or_le i (n % a)
· refine ⟨i + a * (n / a + 1), ⟨?_, ?_⟩, ?_⟩
· rw [add_comm (n / a), Nat.mul_add, mul_one, ← add_assoc]
refine hn.symm.le.trans (Nat.add_le_add_right ?_ _)
simpa only [zero_add] using add_le_add (zero_le i) (Nat.mod_lt n ha.bot_lt).le
· refine lt_of_lt_of_le (Nat.add_lt_add_right hi (a * (n / a + 1))) ?_
rw [Nat.mul_add, mul_one, ← add_assoc, hn]
· rw [Nat.add_mul_mod_self_left, Nat.mod_eq_of_lt hia]
· refine ⟨i + a * (n / a), ⟨?_, ?_⟩, ?_⟩
· omega
· omega
· rw [Nat.add_mul_mod_self_left, Nat.mod_eq_of_lt hia]
section Multiset
open Multiset
theorem multiset_Ico_map_mod (n a : ℕ) :
(Multiset.Ico n (n + a)).map (· % a) = Multiset.range a := by
convert congr_arg Finset.val (image_Ico_mod n a)
refine ((nodup_map_iff_inj_on (Finset.Ico _ _).nodup).2 <| ?_).dedup.symm
exact mod_injOn_Ico _ _
end Multiset
end Nat
namespace List
lemma toFinset_range'_1 (a b : ℕ) : (List.range' a b).toFinset = Ico a (a + b) := by
ext x
rw [List.mem_toFinset, List.mem_range'_1, Finset.mem_Ico]
lemma toFinset_range'_1_1 (a : ℕ) : (List.range' 1 a).toFinset = Icc 1 a := by
ext x
rw [List.mem_toFinset, List.mem_range'_1, add_comm, Nat.lt_succ_iff, Finset.mem_Icc]
end List
namespace Finset
theorem range_image_pred_top_sub (n : ℕ) :
((Finset.range n).image fun j => n - 1 - j) = Finset.range n := by
cases n
· rw [range_zero, image_empty]
· rw [Finset.range_eq_Ico, Nat.Ico_image_const_sub_eq_Ico (Nat.zero_le _)]
simp_rw [succ_sub_succ, Nat.sub_zero, Nat.sub_self]
theorem range_add_eq_union : range (a + b) = range a ∪ (range b).map (addLeftEmbedding a) := by
rw [Finset.range_eq_Ico, map_eq_image]
convert (Ico_union_Ico_eq_Ico a.zero_le (a.le_add_right b)).symm
ext x
simp only [Ico_zero_eq_range, mem_image, mem_range, addLeftEmbedding_apply, mem_Ico]
constructor
· aesop
· rintro h
exact ⟨x - a, by omega⟩
end Finset
|
section Induction
variable {P : ℕ → Prop}
| Mathlib/Order/Interval/Finset/Nat.lean | 273 | 277 |
/-
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.Basic
import Mathlib.RingTheory.Artinian.Module
/-!
# Lie subalgebras
This file defines Lie subalgebras of a Lie algebra and provides basic related definitions and
results.
## Main definitions
* `LieSubalgebra`
* `LieSubalgebra.incl`
* `LieSubalgebra.map`
* `LieHom.range`
* `LieEquiv.ofInjective`
* `LieEquiv.ofEq`
* `LieEquiv.ofSubalgebras`
## Tags
lie algebra, lie subalgebra
-/
universe u v w w₁ w₂
section LieSubalgebra
variable (R : Type u) (L : Type v) [CommRing R] [LieRing L] [LieAlgebra R L]
/-- A Lie subalgebra of a Lie algebra is submodule that is closed under the Lie bracket.
This is a sufficient condition for the subset itself to form a Lie algebra. -/
structure LieSubalgebra extends Submodule R L where
/-- A Lie subalgebra is closed under Lie bracket. -/
lie_mem' : ∀ {x y}, x ∈ carrier → y ∈ carrier → ⁅x, y⁆ ∈ carrier
/-- The zero algebra is a subalgebra of any Lie algebra. -/
instance : Zero (LieSubalgebra R L) :=
⟨⟨0, @fun x y hx _hy ↦ by
rw [(Submodule.mem_bot R).1 hx, zero_lie]
exact Submodule.zero_mem 0⟩⟩
instance : Inhabited (LieSubalgebra R L) :=
⟨0⟩
instance : Coe (LieSubalgebra R L) (Submodule R L) :=
⟨LieSubalgebra.toSubmodule⟩
namespace LieSubalgebra
instance : SetLike (LieSubalgebra R L) L where
coe L' := L'.carrier
coe_injective' L' L'' h := by
rcases L' with ⟨⟨⟩⟩
rcases L'' with ⟨⟨⟩⟩
congr
exact SetLike.coe_injective' h
instance : AddSubgroupClass (LieSubalgebra R L) L where
add_mem := Submodule.add_mem _
zero_mem L' := L'.zero_mem'
neg_mem {L'} x hx := show -x ∈ (L' : Submodule R L) from neg_mem hx
/-- A Lie subalgebra forms a new Lie ring. -/
instance lieRing (L' : LieSubalgebra R L) : LieRing L' where
bracket x y := ⟨⁅x.val, y.val⁆, L'.lie_mem' x.property y.property⟩
lie_add := by
intros
apply SetCoe.ext
apply lie_add
add_lie := by
intros
apply SetCoe.ext
apply add_lie
lie_self := by
intros
apply SetCoe.ext
apply lie_self
leibniz_lie := by
intros
apply SetCoe.ext
apply leibniz_lie
section
variable {R₁ : Type*} [Semiring R₁]
/-- A Lie subalgebra inherits module structures from `L`. -/
instance [SMul R₁ R] [Module R₁ L] [IsScalarTower R₁ R L] (L' : LieSubalgebra R L) : Module R₁ L' :=
L'.toSubmodule.module'
instance [SMul R₁ R] [SMul R₁ᵐᵒᵖ R] [Module R₁ L] [Module R₁ᵐᵒᵖ L] [IsScalarTower R₁ R L]
[IsScalarTower R₁ᵐᵒᵖ R L] [IsCentralScalar R₁ L] (L' : LieSubalgebra R L) :
IsCentralScalar R₁ L' :=
L'.toSubmodule.isCentralScalar
instance [SMul R₁ R] [Module R₁ L] [IsScalarTower R₁ R L] (L' : LieSubalgebra R L) :
IsScalarTower R₁ R L' :=
L'.toSubmodule.isScalarTower
instance (L' : LieSubalgebra R L) [IsNoetherian R L] : IsNoetherian R L' :=
isNoetherian_submodule' _
instance (L' : LieSubalgebra R L) [IsArtinian R L] : IsArtinian R L' :=
isArtinian_submodule' _
end
/-- A Lie subalgebra forms a new Lie algebra. -/
instance lieAlgebra (L' : LieSubalgebra R L) : LieAlgebra R L' where
lie_smul := by
{ intros
apply SetCoe.ext
apply lie_smul }
variable {R L}
variable (L' : LieSubalgebra R L)
@[simp]
protected theorem zero_mem : (0 : L) ∈ L' :=
zero_mem L'
protected theorem add_mem {x y : L} : x ∈ L' → y ∈ L' → (x + y : L) ∈ L' :=
add_mem
protected theorem sub_mem {x y : L} : x ∈ L' → y ∈ L' → (x - y : L) ∈ L' :=
sub_mem
theorem smul_mem (t : R) {x : L} (h : x ∈ L') : t • x ∈ L' :=
(L' : Submodule R L).smul_mem t h
theorem lie_mem {x y : L} (hx : x ∈ L') (hy : y ∈ L') : (⁅x, y⁆ : L) ∈ L' :=
L'.lie_mem' hx hy
theorem mem_carrier {x : L} : x ∈ L'.carrier ↔ x ∈ (L' : Set L) :=
Iff.rfl
@[simp]
theorem mem_mk_iff (S : Set L) (h₁ h₂ h₃ h₄) {x : L} :
x ∈ (⟨⟨⟨⟨S, h₁⟩, h₂⟩, h₃⟩, h₄⟩ : LieSubalgebra R L) ↔ x ∈ S :=
Iff.rfl
@[simp]
theorem mem_toSubmodule {x : L} : x ∈ (L' : Submodule R L) ↔ x ∈ L' :=
Iff.rfl
@[deprecated (since := "2024-12-30")] alias mem_coe_submodule := mem_toSubmodule
theorem mem_coe {x : L} : x ∈ (L' : Set L) ↔ x ∈ L' :=
Iff.rfl
@[simp, norm_cast]
theorem coe_bracket (x y : L') : (↑⁅x, y⁆ : L) = ⁅(↑x : L), ↑y⁆ :=
rfl
theorem ext_iff (x y : L') : x = y ↔ (x : L) = y :=
Subtype.ext_iff
theorem coe_zero_iff_zero (x : L') : (x : L) = 0 ↔ x = 0 :=
(ext_iff L' x 0).symm
@[ext]
theorem ext (L₁' L₂' : LieSubalgebra R L) (h : ∀ x, x ∈ L₁' ↔ x ∈ L₂') : L₁' = L₂' :=
SetLike.ext h
theorem ext_iff' (L₁' L₂' : LieSubalgebra R L) : L₁' = L₂' ↔ ∀ x, x ∈ L₁' ↔ x ∈ L₂' :=
SetLike.ext_iff
@[simp]
theorem mk_coe (S : Set L) (h₁ h₂ h₃ h₄) :
((⟨⟨⟨⟨S, h₁⟩, h₂⟩, h₃⟩, h₄⟩ : LieSubalgebra R L) : Set L) = S :=
rfl
theorem toSubmodule_mk (p : Submodule R L) (h) :
(({ p with lie_mem' := h } : LieSubalgebra R L) : Submodule R L) = p := by
cases p
rfl
@[deprecated (since := "2024-12-30")] alias coe_to_submodule_mk := toSubmodule_mk
theorem coe_injective : Function.Injective ((↑) : LieSubalgebra R L → Set L) :=
SetLike.coe_injective
@[norm_cast]
theorem coe_set_eq (L₁' L₂' : LieSubalgebra R L) : (L₁' : Set L) = L₂' ↔ L₁' = L₂' :=
SetLike.coe_set_eq
theorem toSubmodule_injective : Function.Injective ((↑) : LieSubalgebra R L → Submodule R L) :=
fun L₁' L₂' h ↦ by
rw [SetLike.ext'_iff] at h
rw [← coe_set_eq]
exact h
@[deprecated (since := "2024-12-30")] alias to_submodule_injective := toSubmodule_injective
@[simp]
theorem toSubmodule_inj (L₁' L₂' : LieSubalgebra R L) :
(L₁' : Submodule R L) = (L₂' : Submodule R L) ↔ L₁' = L₂' :=
toSubmodule_injective.eq_iff
@[deprecated (since := "2024-12-30")] alias coe_to_submodule_inj := toSubmodule_inj
@[deprecated (since := "2024-12-29")] alias toSubmodule_eq_iff := toSubmodule_inj
theorem coe_toSubmodule : ((L' : Submodule R L) : Set L) = L' :=
rfl
@[deprecated (since := "2024-12-30")] alias coe_to_submodule := coe_toSubmodule
section LieModule
variable {M : Type w} [AddCommGroup M] [LieRingModule L M]
variable {N : Type w₁} [AddCommGroup N] [LieRingModule L N] [Module R N]
instance : Bracket L' M where
bracket x m := ⁅(x : L), m⁆
@[simp]
theorem coe_bracket_of_module (x : L') (m : M) : ⁅x, m⁆ = ⁅(x : L), m⁆ :=
rfl
instance : IsLieTower L' L M where
leibniz_lie x y m := leibniz_lie x.val y m
/-- Given a Lie algebra `L` containing a Lie subalgebra `L' ⊆ L`, together with a Lie ring module
`M` of `L`, we may regard `M` as a Lie ring module of `L'` by restriction. -/
instance lieRingModule : LieRingModule L' M where
add_lie x y m := add_lie (x : L) y m
lie_add x y m := lie_add (x : L) y m
leibniz_lie x y m := leibniz_lie x (y : L) m
variable [Module R M]
/-- Given a Lie algebra `L` containing a Lie subalgebra `L' ⊆ L`, together with a Lie module `M` of
`L`, we may regard `M` as a Lie module of `L'` by restriction. -/
instance lieModule [LieModule R L M] : LieModule R L' M where
smul_lie t x m := by
rw [coe_bracket_of_module, Submodule.coe_smul_of_tower, smul_lie, coe_bracket_of_module]
lie_smul t x m := by simp only [coe_bracket_of_module, lie_smul]
/-- An `L`-equivariant map of Lie modules `M → N` is `L'`-equivariant for any Lie subalgebra
`L' ⊆ L`. -/
def _root_.LieModuleHom.restrictLie (f : M →ₗ⁅R,L⁆ N) (L' : LieSubalgebra R L) : M →ₗ⁅R,L'⁆ N :=
{ (f : M →ₗ[R] N) with map_lie' := @fun x m ↦ f.map_lie (↑x) m }
@[simp]
theorem _root_.LieModuleHom.coe_restrictLie (f : M →ₗ⁅R,L⁆ N) : ⇑(f.restrictLie L') = f :=
rfl
end LieModule
/-- The embedding of a Lie subalgebra into the ambient space as a morphism of Lie algebras. -/
def incl : L' →ₗ⁅R⁆ L :=
{ (L' : Submodule R L).subtype with
map_lie' := rfl }
@[simp]
theorem coe_incl : ⇑L'.incl = ((↑) : L' → L) :=
rfl
/-- The embedding of a Lie subalgebra into the ambient space as a morphism of Lie modules. -/
def incl' : L' →ₗ⁅R,L'⁆ L :=
{ (L' : Submodule R L).subtype with
map_lie' := rfl }
@[simp]
theorem coe_incl' : ⇑L'.incl' = ((↑) : L' → L) :=
rfl
end LieSubalgebra
variable {R L}
variable {L₂ : Type w} [LieRing L₂] [LieAlgebra R L₂]
variable (f : L →ₗ⁅R⁆ L₂)
namespace LieHom
/-- The range of a morphism of Lie algebras is a Lie subalgebra. -/
def range : LieSubalgebra R L₂ :=
{ LinearMap.range (f : L →ₗ[R] L₂) with
lie_mem' := by
rintro - - ⟨x, rfl⟩ ⟨y, rfl⟩
exact ⟨⁅x, y⁆, f.map_lie x y⟩ }
@[simp]
theorem range_coe : (f.range : Set L₂) = Set.range f :=
LinearMap.range_coe (f : L →ₗ[R] L₂)
@[simp]
theorem mem_range (x : L₂) : x ∈ f.range ↔ ∃ y : L, f y = x :=
LinearMap.mem_range
theorem mem_range_self (x : L) : f x ∈ f.range :=
LinearMap.mem_range_self (f : L →ₗ[R] L₂) x
/-- We can restrict a morphism to a (surjective) map to its range. -/
def rangeRestrict : L →ₗ⁅R⁆ f.range :=
{ (f : L →ₗ[R] L₂).rangeRestrict with
map_lie' := @fun x y ↦ by
apply Subtype.ext
exact f.map_lie x y }
@[simp]
theorem rangeRestrict_apply (x : L) : f.rangeRestrict x = ⟨f x, f.mem_range_self x⟩ :=
rfl
theorem surjective_rangeRestrict : Function.Surjective f.rangeRestrict := by
rintro ⟨y, hy⟩
rw [mem_range] at hy; obtain ⟨x, rfl⟩ := hy
use x
simp only [Subtype.mk_eq_mk, rangeRestrict_apply]
/-- A Lie algebra is equivalent to its range under an injective Lie algebra morphism. -/
noncomputable def equivRangeOfInjective (h : Function.Injective f) : L ≃ₗ⁅R⁆ f.range :=
LieEquiv.ofBijective f.rangeRestrict
⟨fun x y hxy ↦ by
simp only [Subtype.mk_eq_mk, rangeRestrict_apply] at hxy
exact h hxy, f.surjective_rangeRestrict⟩
@[simp]
theorem equivRangeOfInjective_apply (h : Function.Injective f) (x : L) :
f.equivRangeOfInjective h x = ⟨f x, mem_range_self f x⟩ :=
rfl
end LieHom
theorem Submodule.exists_lieSubalgebra_coe_eq_iff (p : Submodule R L) :
(∃ K : LieSubalgebra R L, ↑K = p) ↔ ∀ x y : L, x ∈ p → y ∈ p → ⁅x, y⁆ ∈ p := by
constructor
· rintro ⟨K, rfl⟩ _ _
exact K.lie_mem'
· intro h
use { p with lie_mem' := h _ _ }
namespace LieSubalgebra
variable (K K' : LieSubalgebra R L) (K₂ : LieSubalgebra R L₂)
@[simp]
theorem incl_range : K.incl.range = K := by
rw [← toSubmodule_inj]
exact (K : Submodule R L).range_subtype
/-- The image of a Lie subalgebra under a Lie algebra morphism is a Lie subalgebra of the
codomain. -/
def map : LieSubalgebra R L₂ :=
{ (K : Submodule R L).map (f : L →ₗ[R] L₂) with
lie_mem' {x y} hx hy := by
simp only [AddSubsemigroup.mem_carrier] at hx hy
rcases hx with ⟨x', hx', rfl⟩
rcases hy with ⟨y', hy', rfl⟩
simpa using ⟨⁅x', y'⁆, K.lie_mem hx' hy', f.map_lie x' y'⟩ }
@[simp]
theorem mem_map (x : L₂) : x ∈ K.map f ↔ ∃ y : L, y ∈ K ∧ f y = x :=
Submodule.mem_map
-- TODO Rename and state for homs instead of equivs.
theorem mem_map_submodule (e : L ≃ₗ⁅R⁆ L₂) (x : L₂) :
x ∈ K.map (e : L →ₗ⁅R⁆ L₂) ↔ x ∈ (K : Submodule R L).map (e : L →ₗ[R] L₂) :=
Iff.rfl
/-- The preimage of a Lie subalgebra under a Lie algebra morphism is a Lie subalgebra of the
domain. -/
def comap : LieSubalgebra R L :=
{ (K₂ : Submodule R L₂).comap (f : L →ₗ[R] L₂) with
lie_mem' := @fun x y hx hy ↦ by
suffices ⁅f x, f y⁆ ∈ K₂ by simp [this]
exact K₂.lie_mem hx hy }
section LatticeStructure
open Set
instance : PartialOrder (LieSubalgebra R L) :=
{ PartialOrder.lift ((↑) : LieSubalgebra R L → Set L) coe_injective with
le := fun N N' ↦ ∀ ⦃x⦄, x ∈ N → x ∈ N' }
theorem le_def : K ≤ K' ↔ (K : Set L) ⊆ K' :=
Iff.rfl
@[simp]
theorem toSubmodule_le_toSubmodule : (K : Submodule R L) ≤ K' ↔ K ≤ K' :=
Iff.rfl
@[deprecated (since := "2024-12-30")]
alias coe_submodule_le_coe_submodule := toSubmodule_le_toSubmodule
instance : Bot (LieSubalgebra R L) :=
⟨0⟩
@[simp]
theorem bot_coe : ((⊥ : LieSubalgebra R L) : Set L) = {0} :=
rfl
@[simp]
theorem bot_toSubmodule : ((⊥ : LieSubalgebra R L) : Submodule R L) = ⊥ :=
rfl
@[deprecated (since := "2024-12-30")] alias bot_coe_submodule := bot_toSubmodule
@[simp]
theorem mem_bot (x : L) : x ∈ (⊥ : LieSubalgebra R L) ↔ x = 0 :=
mem_singleton_iff
instance : Top (LieSubalgebra R L) :=
⟨{ (⊤ : Submodule R L) with lie_mem' := @fun x y _ _ ↦ mem_univ ⁅x, y⁆ }⟩
@[simp]
theorem top_coe : ((⊤ : LieSubalgebra R L) : Set L) = univ :=
rfl
@[simp]
theorem top_toSubmodule : ((⊤ : LieSubalgebra R L) : Submodule R L) = ⊤ :=
rfl
@[deprecated (since := "2024-12-30")] alias top_coe_submodule := top_toSubmodule
@[simp]
theorem mem_top (x : L) : x ∈ (⊤ : LieSubalgebra R L) :=
mem_univ x
theorem _root_.LieHom.range_eq_map : f.range = map f ⊤ := by
ext
simp
instance : Min (LieSubalgebra R L) :=
⟨fun K K' ↦
{ (K ⊓ K' : Submodule R L) with
lie_mem' := fun hx hy ↦ mem_inter (K.lie_mem hx.1 hy.1) (K'.lie_mem hx.2 hy.2) }⟩
instance : InfSet (LieSubalgebra R L) :=
⟨fun S ↦
{ sInf {(s : Submodule R L) | s ∈ S} with
lie_mem' := @fun x y hx hy ↦ by
simp only [Submodule.mem_carrier, mem_iInter, Submodule.sInf_coe, mem_setOf_eq,
forall_apply_eq_imp_iff₂, exists_imp, and_imp] at hx hy ⊢
intro K hK
exact K.lie_mem (hx K hK) (hy K hK) }⟩
@[simp]
theorem inf_coe : (↑(K ⊓ K') : Set L) = (K : Set L) ∩ (K' : Set L) :=
rfl
@[simp]
theorem sInf_toSubmodule (S : Set (LieSubalgebra R L)) :
(↑(sInf S) : Submodule R L) = sInf {(s : Submodule R L) | s ∈ S} :=
rfl
@[deprecated (since := "2024-12-30")] alias sInf_coe_to_submodule := sInf_toSubmodule
@[simp]
theorem sInf_coe (S : Set (LieSubalgebra R L)) : (↑(sInf S) : Set L) = ⋂ s ∈ S, (s : Set L) := by
rw [← coe_toSubmodule, sInf_toSubmodule, Submodule.sInf_coe]
ext x
simp
theorem sInf_glb (S : Set (LieSubalgebra R L)) : IsGLB S (sInf S) := by
have h : ∀ K K' : LieSubalgebra R L, (K : Set L) ≤ K' ↔ K ≤ K' := by
intros
exact Iff.rfl
apply IsGLB.of_image @h
simp only [sInf_coe]
exact isGLB_biInf
/-- The set of Lie subalgebras of a Lie algebra form a complete lattice.
We provide explicit values for the fields `bot`, `top`, `inf` to get more convenient definitions
than we would otherwise obtain from `completeLatticeOfInf`. -/
instance completeLattice : CompleteLattice (LieSubalgebra R L) :=
{ completeLatticeOfInf _ sInf_glb with
bot := ⊥
bot_le := fun N _ h ↦ by
rw [mem_bot] at h
rw [h]
exact N.zero_mem'
top := ⊤
le_top := fun _ _ _ ↦ trivial
inf := (· ⊓ ·)
le_inf := fun _ _ _ h₁₂ h₁₃ _ hm ↦ ⟨h₁₂ hm, h₁₃ hm⟩
inf_le_left := fun _ _ _ ↦ And.left
inf_le_right := fun _ _ _ ↦ And.right }
instance : Add (LieSubalgebra R L) where add := max
instance : Zero (LieSubalgebra R L) where zero := ⊥
instance addCommMonoid : AddCommMonoid (LieSubalgebra R L) where
add_assoc := sup_assoc
zero_add := bot_sup_eq
add_zero := sup_bot_eq
add_comm := sup_comm
nsmul := nsmulRec
instance : IsOrderedAddMonoid (LieSubalgebra R L) where
add_le_add_left _ _ := sup_le_sup_left
instance : CanonicallyOrderedAdd (LieSubalgebra R L) where
exists_add_of_le {_a b} h := ⟨b, (sup_eq_right.2 h).symm⟩
le_self_add _ _ := le_sup_left
@[simp]
theorem add_eq_sup : K + K' = K ⊔ K' :=
rfl
@[simp]
theorem inf_toSubmodule :
(↑(K ⊓ K') : Submodule R L) = (K : Submodule R L) ⊓ (K' : Submodule R L) :=
rfl
@[deprecated (since := "2024-12-30")] alias inf_coe_to_submodule := inf_toSubmodule
@[simp]
theorem mem_inf (x : L) : x ∈ K ⊓ K' ↔ x ∈ K ∧ x ∈ K' := by
rw [← mem_toSubmodule, ← mem_toSubmodule, ← mem_toSubmodule, inf_toSubmodule,
Submodule.mem_inf]
theorem eq_bot_iff : K = ⊥ ↔ ∀ x : L, x ∈ K → x = 0 := by
rw [_root_.eq_bot_iff]
exact Iff.rfl
instance subsingleton_of_bot : Subsingleton (LieSubalgebra R (⊥ : LieSubalgebra R L)) := by
apply subsingleton_of_bot_eq_top
ext ⟨x, hx⟩; change x ∈ ⊥ at hx; rw [LieSubalgebra.mem_bot] at hx; subst hx
simp only [mem_bot, mem_top, iff_true]
rfl
theorem subsingleton_bot : Subsingleton (⊥ : LieSubalgebra R L) :=
show Subsingleton ((⊥ : LieSubalgebra R L) : Set L) by simp
variable (R L)
instance wellFoundedGT_of_noetherian [IsNoetherian R L] : WellFoundedGT (LieSubalgebra R L) :=
RelHomClass.isWellFounded (⟨toSubmodule, @fun _ _ h ↦ h⟩ : _ →r (· > ·))
variable {R L K K' f}
section NestedSubalgebras
variable (h : K ≤ K')
/-- Given two nested Lie subalgebras `K ⊆ K'`, the inclusion `K ↪ K'` is a morphism of Lie
algebras. -/
def inclusion : K →ₗ⁅R⁆ K' :=
{ Submodule.inclusion h with map_lie' := @fun _ _ ↦ rfl }
@[simp]
theorem coe_inclusion (x : K) : (inclusion h x : L) = x :=
rfl
theorem inclusion_apply (x : K) : inclusion h x = ⟨x.1, h x.2⟩ :=
rfl
theorem inclusion_injective : Function.Injective (inclusion h) := fun x y ↦ by
simp only [inclusion_apply, imp_self, Subtype.mk_eq_mk, SetLike.coe_eq_coe]
/-- Given two nested Lie subalgebras `K ⊆ K'`, we can view `K` as a Lie subalgebra of `K'`,
regarded as Lie algebra in its own right. -/
def ofLe : LieSubalgebra R K' :=
(inclusion h).range
@[simp]
theorem mem_ofLe (x : K') : x ∈ ofLe h ↔ (x : L) ∈ K := by
simp only [ofLe, inclusion_apply, LieHom.mem_range]
constructor
· rintro ⟨y, rfl⟩
exact y.property
· intro h
use ⟨(x : L), h⟩
theorem ofLe_eq_comap_incl : ofLe h = K.comap K'.incl := by
ext
rw [mem_ofLe]
rfl
@[simp]
theorem coe_ofLe : (ofLe h : Submodule R K') = LinearMap.range (Submodule.inclusion h) :=
rfl
/-- Given nested Lie subalgebras `K ⊆ K'`, there is a natural equivalence from `K` to its image in
`K'`. -/
noncomputable def equivOfLe : K ≃ₗ⁅R⁆ ofLe h :=
(inclusion h).equivRangeOfInjective (inclusion_injective h)
@[simp]
theorem equivOfLe_apply (x : K) : equivOfLe h x = ⟨inclusion h x, (inclusion h).mem_range_self x⟩ :=
rfl
end NestedSubalgebras
theorem map_le_iff_le_comap {K : LieSubalgebra R L} {K' : LieSubalgebra R L₂} :
map f K ≤ K' ↔ K ≤ comap f K' :=
Set.image_subset_iff
theorem gc_map_comap : GaloisConnection (map f) (comap f) := fun _ _ ↦ map_le_iff_le_comap
end LatticeStructure
section LieSpan
variable (R L) (s : Set L)
/-- The Lie subalgebra of a Lie algebra `L` generated by a subset `s ⊆ L`. -/
def lieSpan : LieSubalgebra R L :=
sInf { N | s ⊆ N }
variable {R L s}
theorem mem_lieSpan {x : L} : x ∈ lieSpan R L s ↔ ∀ K : LieSubalgebra R L, s ⊆ K → x ∈ K := by
change x ∈ (lieSpan R L s : Set L) ↔ _
rw [lieSpan, sInf_coe]
exact Set.mem_iInter₂
theorem subset_lieSpan : s ⊆ lieSpan R L s := by
intro m hm
rw [SetLike.mem_coe, mem_lieSpan]
intro K hK
exact hK hm
theorem submodule_span_le_lieSpan : Submodule.span R s ≤ lieSpan R L s := by
rw [Submodule.span_le]
apply subset_lieSpan
theorem lieSpan_le {K} : lieSpan R L s ≤ K ↔ s ⊆ K := by
constructor
· exact Set.Subset.trans subset_lieSpan
· intro hs m hm
rw [mem_lieSpan] at hm
exact hm _ hs
theorem lieSpan_mono {t : Set L} (h : s ⊆ t) : lieSpan R L s ≤ lieSpan R L t := by
rw [lieSpan_le]
exact Set.Subset.trans h subset_lieSpan
theorem lieSpan_eq : lieSpan R L (K : Set L) = K :=
le_antisymm (lieSpan_le.mpr rfl.subset) subset_lieSpan
theorem coe_lieSpan_submodule_eq_iff {p : Submodule R L} :
(lieSpan R L (p : Set L) : Submodule R L) = p ↔ ∃ K : LieSubalgebra R L, ↑K = p := by
rw [p.exists_lieSubalgebra_coe_eq_iff]; constructor <;> intro h
· intro x m hm
rw [← h, mem_toSubmodule]
exact lie_mem _ (subset_lieSpan hm)
· rw [← toSubmodule_mk p @h, coe_toSubmodule, toSubmodule_inj, lieSpan_eq]
variable (R L)
/-- `lieSpan` forms a Galois insertion with the coercion from `LieSubalgebra` to `Set`. -/
protected def gi : GaloisInsertion (lieSpan R L : Set L → LieSubalgebra R L) (↑) where
choice s _ := lieSpan R L s
gc _ _ := lieSpan_le
le_l_u _ := subset_lieSpan
choice_eq _ _ := rfl
@[simp]
theorem span_empty : lieSpan R L (∅ : Set L) = ⊥ :=
(LieSubalgebra.gi R L).gc.l_bot
@[simp]
theorem span_univ : lieSpan R L (Set.univ : Set L) = ⊤ :=
eq_top_iff.2 <| SetLike.le_def.2 <| subset_lieSpan
variable {L}
theorem span_union (s t : Set L) : lieSpan R L (s ∪ t) = lieSpan R L s ⊔ lieSpan R L t :=
(LieSubalgebra.gi R L).gc.l_sup
theorem span_iUnion {ι} (s : ι → Set L) : lieSpan R L (⋃ i, s i) = ⨆ i, lieSpan R L (s i) :=
(LieSubalgebra.gi R L).gc.l_iSup
/-- An induction principle for span membership. If `p` holds for 0 and all elements of `s`, and is
preserved under addition, scalar multiplication and the Lie bracket, then `p` holds for all
elements of the Lie algebra spanned by `s`. -/
@[elab_as_elim]
theorem lieSpan_induction {p : (x : L) → x ∈ lieSpan R L s → Prop}
(mem : ∀ (x) (h : x ∈ s), p x (subset_lieSpan h))
(zero : p 0 (LieSubalgebra.zero_mem _))
(add : ∀ x y hx hy, p x hx → p y hy → p (x + y) (LieSubalgebra.add_mem _ ‹_› ‹_›))
(smul : ∀ (a : R) (x hx), p x hx → p (a • x) (LieSubalgebra.smul_mem _ _ ‹_›)) {x}
(lie : ∀ x y hx hy, p x hx → p y hy → p (⁅x, y⁆) (LieSubalgebra.lie_mem _ ‹_› ‹_›))
(hx : x ∈ lieSpan R L s) : p x hx := by
let p : LieSubalgebra R L :=
| { carrier := { x | ∃ hx, p x hx }
add_mem' := fun ⟨_, hpx⟩ ⟨_, hpy⟩ ↦ ⟨_, add _ _ _ _ hpx hpy⟩
zero_mem' := ⟨_, zero⟩
smul_mem' := fun r ↦ fun ⟨_, hpx⟩ ↦ ⟨_, smul r _ _ hpx⟩
lie_mem' := fun ⟨_, hpx⟩ ⟨_, hpy⟩ ↦ ⟨_, lie _ _ _ _ hpx hpy⟩ }
exact lieSpan_le (K := p) |>.mpr (fun y hy ↦ ⟨subset_lieSpan hy, mem y hy⟩) hx |>.elim fun _ ↦ id
| Mathlib/Algebra/Lie/Subalgebra.lean | 689 | 694 |
/-
Copyright (c) 2023 David Kurniadi Angdinata. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: David Kurniadi Angdinata
-/
import Mathlib.Algebra.Polynomial.Bivariate
import Mathlib.AlgebraicGeometry.EllipticCurve.Weierstrass
import Mathlib.AlgebraicGeometry.EllipticCurve.VariableChange
/-!
# Affine coordinates for Weierstrass curves
This file defines the type of points on a Weierstrass curve as an inductive, consisting of the point
at infinity and affine points satisfying a Weierstrass equation with a nonsingular condition. This
file also defines the negation and addition operations of the group law for this type, and proves
that they respect the Weierstrass equation and the nonsingular condition. The fact that they form an
abelian group is proven in `Mathlib/AlgebraicGeometry/EllipticCurve/Group.lean`.
## Mathematical background
Let `W` be a Weierstrass curve over a field `F` with coefficients `aᵢ`. An *affine point*
on `W` is a tuple `(x, y)` of elements in `R` satisfying the *Weierstrass equation* `W(X, Y) = 0` in
*affine coordinates*, where `W(X, Y) := Y² + a₁XY + a₃Y - (X³ + a₂X² + a₄X + a₆)`. It is
*nonsingular* if its partial derivatives `W_X(x, y)` and `W_Y(x, y)` do not vanish simultaneously.
The nonsingular affine points on `W` can be given negation and addition operations defined by a
secant-and-tangent process.
* Given a nonsingular affine point `P`, its *negation* `-P` is defined to be the unique third
nonsingular point of intersection between `W` and the vertical line through `P`.
Explicitly, if `P` is `(x, y)`, then `-P` is `(x, -y - a₁x - a₃)`.
* Given two nonsingular affine points `P` and `Q`, their *addition* `P + Q` is defined to be the
negation of the unique third nonsingular point of intersection between `W` and the line `L`
through `P` and `Q`. Explicitly, let `P` be `(x₁, y₁)` and let `Q` be `(x₂, y₂)`.
* If `x₁ = x₂` and `y₁ = -y₂ - a₁x₂ - a₃`, then `L` is vertical.
* If `x₁ = x₂` and `y₁ ≠ -y₂ - a₁x₂ - a₃`, then `L` is the tangent of `W` at `P = Q`, and has
slope `ℓ := (3x₁² + 2a₂x₁ + a₄ - a₁y₁) / (2y₁ + a₁x₁ + a₃)`.
* Otherwise `x₁ ≠ x₂`, then `L` is the secant of `W` through `P` and `Q`, and has slope
`ℓ := (y₁ - y₂) / (x₁ - x₂)`.
In the last two cases, the `X`-coordinate of `P + Q` is then the unique third solution of the
equation obtained by substituting the line `Y = ℓ(X - x₁) + y₁` into the Weierstrass equation,
and can be written down explicitly as `x := ℓ² + a₁ℓ - a₂ - x₁ - x₂` by inspecting the
coefficients of `X²`. The `Y`-coordinate of `P + Q`, after applying the final negation that maps
`Y` to `-Y - a₁X - a₃`, is precisely `y := -(ℓ(x - x₁) + y₁) - a₁x - a₃`.
The type of nonsingular points `W⟮F⟯` in affine coordinates is an inductive, consisting of the
unique point at infinity `𝓞` and nonsingular affine points `(x, y)`. Then `W⟮F⟯` can be endowed with
a group law, with `𝓞` as the identity nonsingular point, which is uniquely determined by these
formulae.
## Main definitions
* `WeierstrassCurve.Affine.Equation`: the Weierstrass equation of an affine Weierstrass curve.
* `WeierstrassCurve.Affine.Nonsingular`: the nonsingular condition on an affine Weierstrass curve.
* `WeierstrassCurve.Affine.Point`: a nonsingular rational point on an affine Weierstrass curve.
* `WeierstrassCurve.Affine.Point.neg`: the negation operation on an affine Weierstrass curve.
* `WeierstrassCurve.Affine.Point.add`: the addition operation on an affine Weierstrass curve.
## Main statements
* `WeierstrassCurve.Affine.equation_neg`: negation preserves the Weierstrass equation.
* `WeierstrassCurve.Affine.equation_add`: addition preserves the Weierstrass equation.
* `WeierstrassCurve.Affine.nonsingular_neg`: negation preserves the nonsingular condition.
* `WeierstrassCurve.Affine.nonsingular_add`: addition preserves the nonsingular condition.
* `WeierstrassCurve.Affine.nonsingular_of_Δ_ne_zero`: an affine Weierstrass curve is nonsingular at
every point if its discriminant is non-zero.
* `WeierstrassCurve.Affine.nonsingular`: an affine elliptic curve is nonsingular at every point.
## Notations
* `W⟮K⟯`: the group of nonsingular rational points on `W` base changed to `K`.
## References
[J Silverman, *The Arithmetic of Elliptic Curves*][silverman2009]
## Tags
elliptic curve, rational point, affine coordinates
-/
open Polynomial
open scoped Polynomial.Bivariate
local macro "C_simp" : tactic =>
`(tactic| simp only [map_ofNat, C_0, C_1, C_neg, C_add, C_sub, C_mul, C_pow])
local macro "derivative_simp" : tactic =>
`(tactic| simp only [derivative_C, derivative_X, derivative_X_pow, derivative_neg, derivative_add,
derivative_sub, derivative_mul, derivative_sq])
local macro "eval_simp" : tactic =>
`(tactic| simp only [eval_C, eval_X, eval_neg, eval_add, eval_sub, eval_mul, eval_pow, evalEval])
local macro "map_simp" : tactic =>
`(tactic| simp only [map_ofNat, map_neg, map_add, map_sub, map_mul, map_pow, map_div₀,
Polynomial.map_ofNat, map_C, map_X, Polynomial.map_neg, Polynomial.map_add, Polynomial.map_sub,
Polynomial.map_mul, Polynomial.map_pow, Polynomial.map_div, coe_mapRingHom,
WeierstrassCurve.map])
universe r s u v w
/-! ## Weierstrass curves -/
namespace WeierstrassCurve
variable {R : Type r} {S : Type s} {A F : Type u} {B K : Type v} {L : Type w}
variable (R) in
/-- An abbreviation for a Weierstrass curve in affine coordinates. -/
abbrev Affine : Type r :=
WeierstrassCurve R
/-- The conversion from a Weierstrass curve to affine coordinates. -/
abbrev toAffine (W : WeierstrassCurve R) : Affine R :=
W
namespace Affine
variable [CommRing R] [CommRing S] [CommRing A] [CommRing B] [Field F] [Field K] [Field L]
{W' : Affine R} {W : Affine F}
section Equation
/-! ### Weierstrass equations -/
variable (W') in
/-- The polynomial `W(X, Y) := Y² + a₁XY + a₃Y - (X³ + a₂X² + a₄X + a₆)` associated to a Weierstrass
curve `W` over a ring `R` in affine coordinates.
For ease of polynomial manipulation, this is represented as a term of type `R[X][X]`, where the
inner variable represents `X` and the outer variable represents `Y`. For clarity, the alternative
notations `Y` and `R[X][Y]` are provided in the `Polynomial.Bivariate` scope to represent the outer
variable and the bivariate polynomial ring `R[X][X]` respectively. -/
noncomputable def polynomial : R[X][Y] :=
Y ^ 2 + C (C W'.a₁ * X + C W'.a₃) * Y - C (X ^ 3 + C W'.a₂ * X ^ 2 + C W'.a₄ * X + C W'.a₆)
lemma polynomial_eq : W'.polynomial = Cubic.toPoly
⟨0, 1, Cubic.toPoly ⟨0, 0, W'.a₁, W'.a₃⟩, Cubic.toPoly ⟨-1, -W'.a₂, -W'.a₄, -W'.a₆⟩⟩ := by
simp only [polynomial, Cubic.toPoly]
C_simp
ring1
lemma polynomial_ne_zero [Nontrivial R] : W'.polynomial ≠ 0 := by
rw [polynomial_eq]
exact Cubic.ne_zero_of_b_ne_zero one_ne_zero
@[simp]
| lemma degree_polynomial [Nontrivial R] : W'.polynomial.degree = 2 := by
rw [polynomial_eq]
exact Cubic.degree_of_b_ne_zero' one_ne_zero
| Mathlib/AlgebraicGeometry/EllipticCurve/Affine.lean | 150 | 153 |
/-
Copyright (c) 2024 Arend Mellendijk. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Arend Mellendijk
-/
import Mathlib.Analysis.SpecialFunctions.Integrals
import Mathlib.Analysis.SumIntegralComparisons
import Mathlib.NumberTheory.Harmonic.Defs
/-!
This file proves $\log(n+1) \le H_n \le 1 + \log(n)$ for all natural numbers $n$.
-/
lemma harmonic_eq_sum_Icc {n : ℕ} : harmonic n = ∑ i ∈ Finset.Icc 1 n, (↑i)⁻¹ := by
rw [harmonic, Finset.range_eq_Ico, Finset.sum_Ico_add' (fun (i : ℕ) ↦ (i : ℚ)⁻¹) 0 n (c := 1)]
-- It might be better to restate `Nat.Ico_succ_right` in terms of `+ 1`,
-- as we try to move away from `Nat.succ`.
simp only [Nat.add_one, Nat.Ico_succ_right]
theorem log_add_one_le_harmonic (n : ℕ) :
Real.log ↑(n+1) ≤ harmonic n := by
calc _ = ∫ x in (1 : ℕ)..↑(n+1), x⁻¹ := ?_
_ ≤ ∑ d ∈ Finset.Icc 1 n, (d : ℝ)⁻¹ := ?_
_ = harmonic n := ?_
· rw [Nat.cast_one, integral_inv (by simp [(show ¬ (1 : ℝ) ≤ 0 by norm_num)]), div_one]
· exact (inv_antitoneOn_Icc_right <| by norm_num).integral_le_sum_Ico (Nat.le_add_left 1 n)
· simp only [harmonic_eq_sum_Icc, Rat.cast_sum, Rat.cast_inv, Rat.cast_natCast]
theorem harmonic_le_one_add_log (n : ℕ) :
harmonic n ≤ 1 + Real.log n := by
by_cases hn0 : n = 0
· simp [hn0]
have hn : 1 ≤ n := Nat.one_le_iff_ne_zero.mpr hn0
simp_rw [harmonic_eq_sum_Icc, Rat.cast_sum, Rat.cast_inv, Rat.cast_natCast]
rw [← Finset.sum_erase_add (Finset.Icc 1 n) _ (Finset.left_mem_Icc.mpr hn), add_comm,
Nat.cast_one, inv_one]
refine add_le_add_left ?_ 1
simp only [Nat.lt_one_iff, Finset.mem_Icc, Finset.Icc_erase_left]
calc ∑ d ∈ .Ico 2 (n + 1), (d : ℝ)⁻¹
_ = ∑ d ∈ .Ico 2 (n + 1), (↑(d + 1) - 1)⁻¹ := ?_
_ ≤ ∫ x in (2).. ↑(n + 1), (x - 1)⁻¹ := ?_
_ = ∫ x in (1)..n, x⁻¹ := ?_
_ = Real.log ↑n := ?_
· simp_rw [Nat.cast_add, Nat.cast_one, add_sub_cancel_right]
· exact @AntitoneOn.sum_le_integral_Ico 2 (n + 1) (fun x : ℝ ↦ (x - 1)⁻¹) (by linarith [hn]) <|
sub_inv_antitoneOn_Icc_right (by norm_num)
· convert intervalIntegral.integral_comp_sub_right _ 1
· norm_num
| · simp only [Nat.cast_add, Nat.cast_one, add_sub_cancel_right]
· convert integral_inv _
· rw [div_one]
· simp only [Nat.one_le_cast, hn, Set.uIcc_of_le, Set.mem_Icc, Nat.cast_nonneg,
and_true, not_le, zero_lt_one]
theorem log_le_harmonic_floor (y : ℝ) (hy : 0 ≤ y) :
Real.log y ≤ harmonic ⌊y⌋₊ := by
by_cases h0 : y = 0
· simp [h0]
· calc
| Mathlib/NumberTheory/Harmonic/Bounds.lean | 52 | 62 |
/-
Copyright (c) 2024 Violeta Hernández Palacios. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Violeta Hernández Palacios
-/
import Mathlib.SetTheory.Cardinal.Arithmetic
import Mathlib.SetTheory.Ordinal.Principal
/-!
# Ordinal arithmetic with cardinals
This file collects results about the cardinality of different ordinal operations.
-/
universe u v
open Cardinal Ordinal Set
/-! ### Cardinal operations with ordinal indices -/
namespace Cardinal
/-- Bounds the cardinal of an ordinal-indexed union of sets. -/
lemma mk_iUnion_Ordinal_lift_le_of_le {β : Type v} {o : Ordinal.{u}} {c : Cardinal.{v}}
(ho : lift.{v} o.card ≤ lift.{u} c) (hc : ℵ₀ ≤ c) (A : Ordinal → Set β)
(hA : ∀ j < o, #(A j) ≤ c) : #(⋃ j < o, A j) ≤ c := by
simp_rw [← mem_Iio, biUnion_eq_iUnion, iUnion, iSup, ← o.enumIsoToType.symm.surjective.range_comp]
rw [← lift_le.{u}]
apply ((mk_iUnion_le_lift _).trans _).trans_eq (mul_eq_self (aleph0_le_lift.2 hc))
rw [mk_toType]
refine mul_le_mul' ho (ciSup_le' ?_)
intro i
simpa using hA _ (o.enumIsoToType.symm i).2
lemma mk_iUnion_Ordinal_le_of_le {β : Type*} {o : Ordinal} {c : Cardinal}
(ho : o.card ≤ c) (hc : ℵ₀ ≤ c) (A : Ordinal → Set β)
(hA : ∀ j < o, #(A j) ≤ c) : #(⋃ j < o, A j) ≤ c := by
apply mk_iUnion_Ordinal_lift_le_of_le _ hc A hA
rwa [Cardinal.lift_le]
end Cardinal
@[deprecated mk_iUnion_Ordinal_le_of_le (since := "2024-11-02")]
alias Ordinal.Cardinal.mk_iUnion_Ordinal_le_of_le := mk_iUnion_Ordinal_le_of_le
/-! ### Cardinality of ordinals -/
namespace Ordinal
theorem lift_card_iSup_le_sum_card {ι : Type u} [Small.{v} ι] (f : ι → Ordinal.{v}) :
Cardinal.lift.{u} (⨆ i, f i).card ≤ Cardinal.sum fun i ↦ (f i).card := by
simp_rw [← mk_toType]
rw [← mk_sigma, ← Cardinal.lift_id'.{v} #(Σ _, _), ← Cardinal.lift_umax.{v, u}]
apply lift_mk_le_lift_mk_of_surjective (f := enumIsoToType _ ∘ (⟨(enumIsoToType _).symm ·.2,
(mem_Iio.mp ((enumIsoToType _).symm _).2).trans_le (Ordinal.le_iSup _ _)⟩))
rw [EquivLike.comp_surjective]
rintro ⟨x, hx⟩
obtain ⟨i, hi⟩ := Ordinal.lt_iSup_iff.mp hx
exact ⟨⟨i, enumIsoToType _ ⟨x, hi⟩⟩, by simp⟩
theorem card_iSup_le_sum_card {ι : Type u} (f : ι → Ordinal.{max u v}) :
(⨆ i, f i).card ≤ Cardinal.sum (fun i ↦ (f i).card) := by
have := lift_card_iSup_le_sum_card f
rwa [Cardinal.lift_id'] at this
theorem card_iSup_Iio_le_sum_card {o : Ordinal.{u}} (f : Iio o → Ordinal.{max u v}) :
(⨆ a : Iio o, f a).card ≤ Cardinal.sum fun i ↦ (f ((enumIsoToType o).symm i)).card := by
apply le_of_eq_of_le (congr_arg _ _).symm (card_iSup_le_sum_card _)
simpa using (enumIsoToType o).symm.iSup_comp (g := fun x ↦ f x)
theorem card_iSup_Iio_le_card_mul_iSup {o : Ordinal.{u}} (f : Iio o → Ordinal.{max u v}) :
(⨆ a : Iio o, f a).card ≤ Cardinal.lift.{v} o.card * ⨆ a : Iio o, (f a).card := by
apply (card_iSup_Iio_le_sum_card f).trans
convert ← sum_le_iSup_lift _
· exact mk_toType o
· exact (enumIsoToType o).symm.iSup_comp (g := fun x ↦ (f x).card)
theorem card_opow_le_of_omega0_le_left {a : Ordinal} (ha : ω ≤ a) (b : Ordinal) :
(a ^ b).card ≤ max a.card b.card := by
refine limitRecOn b ?_ ?_ ?_
· simpa using one_lt_omega0.le.trans ha
· intro b IH
rw [opow_succ, card_mul, card_succ, Cardinal.mul_eq_max_of_aleph0_le_right, max_comm]
· apply (max_le_max_left _ IH).trans
rw [← max_assoc, max_self]
exact max_le_max_left _ le_self_add
· rw [ne_eq, card_eq_zero, opow_eq_zero]
rintro ⟨rfl, -⟩
cases omega0_pos.not_le ha
· rwa [aleph0_le_card]
· intro b hb IH
rw [(isNormal_opow (one_lt_omega0.trans_le ha)).apply_of_isLimit hb]
apply (card_iSup_Iio_le_card_mul_iSup _).trans
rw [Cardinal.lift_id, Cardinal.mul_eq_max_of_aleph0_le_right, max_comm]
· apply max_le _ (le_max_right _ _)
apply ciSup_le'
intro c
exact (IH c.1 c.2).trans (max_le_max_left _ (card_le_card c.2.le))
· simpa using hb.pos.ne'
· refine le_ciSup_of_le ?_ ⟨1, one_lt_omega0.trans_le <| omega0_le_of_isLimit hb⟩ ?_
· exact Cardinal.bddAbove_of_small _
· simpa
theorem card_opow_le_of_omega0_le_right (a : Ordinal) {b : Ordinal} (hb : ω ≤ b) :
(a ^ b).card ≤ max a.card b.card := by
obtain ⟨n, rfl⟩ | ha := eq_nat_or_omega0_le a
· apply (card_le_card <| opow_le_opow_left b (nat_lt_omega0 n).le).trans
apply (card_opow_le_of_omega0_le_left le_rfl _).trans
simp [hb]
· exact card_opow_le_of_omega0_le_left ha b
theorem card_opow_le (a b : Ordinal) : (a ^ b).card ≤ max ℵ₀ (max a.card b.card) := by
obtain ⟨n, rfl⟩ | ha := eq_nat_or_omega0_le a
· obtain ⟨m, rfl⟩ | hb := eq_nat_or_omega0_le b
· rw [← natCast_opow, card_nat]
exact le_max_of_le_left (nat_lt_aleph0 _).le
· exact (card_opow_le_of_omega0_le_right _ hb).trans (le_max_right _ _)
· exact (card_opow_le_of_omega0_le_left ha _).trans (le_max_right _ _)
theorem card_opow_eq_of_omega0_le_left {a b : Ordinal} (ha : ω ≤ a) (hb : 0 < b) :
(a ^ b).card = max a.card b.card := by
apply (card_opow_le_of_omega0_le_left ha b).antisymm (max_le _ _) <;> apply card_le_card
· exact left_le_opow a hb
· exact right_le_opow b (one_lt_omega0.trans_le ha)
theorem card_opow_eq_of_omega0_le_right {a b : Ordinal} (ha : 1 < a) (hb : ω ≤ b) :
(a ^ b).card = max a.card b.card := by
apply (card_opow_le_of_omega0_le_right a hb).antisymm (max_le _ _) <;> apply card_le_card
· exact left_le_opow a (omega0_pos.trans_le hb)
· exact right_le_opow b ha
theorem card_omega0_opow {a : Ordinal} (h : a ≠ 0) : card (ω ^ a) = max ℵ₀ a.card := by
rw [card_opow_eq_of_omega0_le_left le_rfl h.bot_lt, card_omega0]
theorem card_opow_omega0 {a : Ordinal} (h : 1 < a) : card (a ^ ω) = max ℵ₀ a.card := by
rw [card_opow_eq_of_omega0_le_right h le_rfl, card_omega0, max_comm]
theorem principal_opow_omega (o : Ordinal) : Principal (· ^ ·) (ω_ o) := by
obtain rfl | ho := Ordinal.eq_zero_or_pos o
· rw [omega_zero]
exact principal_opow_omega0
· intro a b ha hb
rw [lt_omega_iff_card_lt] at ha hb ⊢
apply (card_opow_le a b).trans_lt (max_lt _ (max_lt ha hb))
rwa [← aleph_zero, aleph_lt_aleph]
theorem IsInitial.principal_opow {o : Ordinal} (h : IsInitial o) (ho : ω ≤ o) :
Principal (· ^ ·) o := by
obtain ⟨a, rfl⟩ := mem_range_omega_iff.2 ⟨ho, h⟩
exact principal_opow_omega a
theorem principal_opow_ord {c : Cardinal} (hc : ℵ₀ ≤ c) : Principal (· ^ ·) c.ord := by
apply (isInitial_ord c).principal_opow
rwa [omega0_le_ord]
/-! ### Initial ordinals are principal -/
theorem principal_add_ord {c : Cardinal} (hc : ℵ₀ ≤ c) : Principal (· + ·) c.ord := by
intro a b ha hb
rw [lt_ord, card_add] at *
exact add_lt_of_lt hc ha hb
theorem IsInitial.principal_add {o : Ordinal} (h : IsInitial o) (ho : ω ≤ o) :
Principal (· + ·) o := by
rw [← h.ord_card]
apply principal_add_ord
rwa [aleph0_le_card]
theorem principal_add_omega (o : Ordinal) : Principal (· + ·) (ω_ o) :=
(isInitial_omega o).principal_add (omega0_le_omega o)
theorem principal_mul_ord {c : Cardinal} (hc : ℵ₀ ≤ c) : Principal (· * ·) c.ord := by
intro a b ha hb
rw [lt_ord, card_mul] at *
exact mul_lt_of_lt hc ha hb
theorem IsInitial.principal_mul {o : Ordinal} (h : IsInitial o) (ho : ω ≤ o) :
Principal (· * ·) o := by
rw [← h.ord_card]
apply principal_mul_ord
rwa [aleph0_le_card]
theorem principal_mul_omega (o : Ordinal) : Principal (· * ·) (ω_ o) :=
(isInitial_omega o).principal_mul (omega0_le_omega o)
@[deprecated principal_add_omega (since := "2024-11-08")]
theorem _root_.Cardinal.principal_add_aleph (o : Ordinal) : Principal (· + ·) (ℵ_ o).ord :=
principal_add_ord <| aleph0_le_aleph o
end Ordinal
| Mathlib/SetTheory/Cardinal/Ordinal.lean | 616 | 624 | |
/-
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.Algebra.Group.Pointwise.Set.Card
import Mathlib.MeasureTheory.Group.Action
import Mathlib.MeasureTheory.Measure.Prod
import Mathlib.Topology.Algebra.Module.Equiv
import Mathlib.Topology.ContinuousMap.CocompactMap
import Mathlib.Topology.Algebra.ContinuousMonoidHom
/-!
# Measures on Groups
We develop some properties of measures on (topological) groups
* We define properties on measures: measures that are left or right invariant w.r.t. multiplication.
* We define the measure `μ.inv : A ↦ μ(A⁻¹)` and show that it is right invariant iff
`μ` is left invariant.
* We define a class `IsHaarMeasure μ`, requiring that the measure `μ` is left-invariant, finite
on compact sets, and positive on open sets.
We also give analogues of all these notions in the additive world.
-/
noncomputable section
open scoped NNReal ENNReal Pointwise Topology
open Inv Set Function MeasureTheory.Measure Filter
variable {G H : Type*} [MeasurableSpace G] [MeasurableSpace H]
namespace MeasureTheory
section Mul
variable [Mul G] {μ : Measure G}
@[to_additive]
theorem map_mul_left_eq_self (μ : Measure G) [IsMulLeftInvariant μ] (g : G) :
map (g * ·) μ = μ :=
IsMulLeftInvariant.map_mul_left_eq_self g
@[to_additive]
theorem map_mul_right_eq_self (μ : Measure G) [IsMulRightInvariant μ] (g : G) : map (· * g) μ = μ :=
IsMulRightInvariant.map_mul_right_eq_self g
@[to_additive MeasureTheory.isAddLeftInvariant_smul]
instance isMulLeftInvariant_smul [IsMulLeftInvariant μ] (c : ℝ≥0∞) : IsMulLeftInvariant (c • μ) :=
⟨fun g => by rw [Measure.map_smul, map_mul_left_eq_self]⟩
@[to_additive MeasureTheory.isAddRightInvariant_smul]
instance isMulRightInvariant_smul [IsMulRightInvariant μ] (c : ℝ≥0∞) :
IsMulRightInvariant (c • μ) :=
⟨fun g => by rw [Measure.map_smul, map_mul_right_eq_self]⟩
@[to_additive MeasureTheory.isAddLeftInvariant_smul_nnreal]
instance isMulLeftInvariant_smul_nnreal [IsMulLeftInvariant μ] (c : ℝ≥0) :
IsMulLeftInvariant (c • μ) :=
MeasureTheory.isMulLeftInvariant_smul (c : ℝ≥0∞)
@[to_additive MeasureTheory.isAddRightInvariant_smul_nnreal]
instance isMulRightInvariant_smul_nnreal [IsMulRightInvariant μ] (c : ℝ≥0) :
IsMulRightInvariant (c • μ) :=
MeasureTheory.isMulRightInvariant_smul (c : ℝ≥0∞)
section MeasurableMul
variable [MeasurableMul G]
@[to_additive]
theorem measurePreserving_mul_left (μ : Measure G) [IsMulLeftInvariant μ] (g : G) :
MeasurePreserving (g * ·) μ μ :=
⟨measurable_const_mul g, map_mul_left_eq_self μ g⟩
@[to_additive]
theorem MeasurePreserving.mul_left (μ : Measure G) [IsMulLeftInvariant μ] (g : G) {X : Type*}
[MeasurableSpace X] {μ' : Measure X} {f : X → G} (hf : MeasurePreserving f μ' μ) :
MeasurePreserving (fun x => g * f x) μ' μ :=
(measurePreserving_mul_left μ g).comp hf
@[to_additive]
theorem measurePreserving_mul_right (μ : Measure G) [IsMulRightInvariant μ] (g : G) :
MeasurePreserving (· * g) μ μ :=
⟨measurable_mul_const g, map_mul_right_eq_self μ g⟩
@[to_additive]
theorem MeasurePreserving.mul_right (μ : Measure G) [IsMulRightInvariant μ] (g : G) {X : Type*}
[MeasurableSpace X] {μ' : Measure X} {f : X → G} (hf : MeasurePreserving f μ' μ) :
MeasurePreserving (fun x => f x * g) μ' μ :=
(measurePreserving_mul_right μ g).comp hf
@[to_additive]
instance Subgroup.smulInvariantMeasure {G α : Type*} [Group G] [MulAction G α] [MeasurableSpace α]
{μ : Measure α} [SMulInvariantMeasure G α μ] (H : Subgroup G) : SMulInvariantMeasure H α μ :=
⟨fun y s hs => by convert SMulInvariantMeasure.measure_preimage_smul (μ := μ) (y : G) hs⟩
/-- An alternative way to prove that `μ` is left invariant under multiplication. -/
@[to_additive "An alternative way to prove that `μ` is left invariant under addition."]
theorem forall_measure_preimage_mul_iff (μ : Measure G) :
(∀ (g : G) (A : Set G), MeasurableSet A → μ ((fun h => g * h) ⁻¹' A) = μ A) ↔
IsMulLeftInvariant μ := by
trans ∀ g, map (g * ·) μ = μ
· simp_rw [Measure.ext_iff]
refine forall_congr' fun g => forall_congr' fun A => forall_congr' fun hA => ?_
rw [map_apply (measurable_const_mul g) hA]
exact ⟨fun h => ⟨h⟩, fun h => h.1⟩
/-- An alternative way to prove that `μ` is right invariant under multiplication. -/
@[to_additive "An alternative way to prove that `μ` is right invariant under addition."]
theorem forall_measure_preimage_mul_right_iff (μ : Measure G) :
(∀ (g : G) (A : Set G), MeasurableSet A → μ ((fun h => h * g) ⁻¹' A) = μ A) ↔
IsMulRightInvariant μ := by
trans ∀ g, map (· * g) μ = μ
· simp_rw [Measure.ext_iff]
refine forall_congr' fun g => forall_congr' fun A => forall_congr' fun hA => ?_
rw [map_apply (measurable_mul_const g) hA]
exact ⟨fun h => ⟨h⟩, fun h => h.1⟩
@[to_additive]
instance Measure.prod.instIsMulLeftInvariant [IsMulLeftInvariant μ] [SFinite μ] {H : Type*}
[Mul H] {mH : MeasurableSpace H} {ν : Measure H} [MeasurableMul H] [IsMulLeftInvariant ν]
[SFinite ν] : IsMulLeftInvariant (μ.prod ν) := by
constructor
rintro ⟨g, h⟩
change map (Prod.map (g * ·) (h * ·)) (μ.prod ν) = μ.prod ν
rw [← map_prod_map _ _ (measurable_const_mul g) (measurable_const_mul h),
map_mul_left_eq_self μ g, map_mul_left_eq_self ν h]
@[to_additive]
instance Measure.prod.instIsMulRightInvariant [IsMulRightInvariant μ] [SFinite μ] {H : Type*}
[Mul H] {mH : MeasurableSpace H} {ν : Measure H} [MeasurableMul H] [IsMulRightInvariant ν]
[SFinite ν] : IsMulRightInvariant (μ.prod ν) := by
constructor
rintro ⟨g, h⟩
change map (Prod.map (· * g) (· * h)) (μ.prod ν) = μ.prod ν
rw [← map_prod_map _ _ (measurable_mul_const g) (measurable_mul_const h),
map_mul_right_eq_self μ g, map_mul_right_eq_self ν h]
@[to_additive]
theorem isMulLeftInvariant_map {H : Type*} [MeasurableSpace H] [Mul H] [MeasurableMul H]
[IsMulLeftInvariant μ] (f : G →ₙ* H) (hf : Measurable f) (h_surj : Surjective f) :
IsMulLeftInvariant (Measure.map f μ) := by
refine ⟨fun h => ?_⟩
rw [map_map (measurable_const_mul _) hf]
obtain ⟨g, rfl⟩ := h_surj h
conv_rhs => rw [← map_mul_left_eq_self μ g]
rw [map_map hf (measurable_const_mul _)]
congr 2
ext y
simp only [comp_apply, map_mul]
end MeasurableMul
end Mul
section Semigroup
variable [Semigroup G] [MeasurableMul G] {μ : Measure G}
/-- The image of a left invariant measure under a left action is left invariant, assuming that
the action preserves multiplication. -/
@[to_additive "The image of a left invariant measure under a left additive action is left invariant,
assuming that the action preserves addition."]
theorem isMulLeftInvariant_map_smul
{α} [SMul α G] [SMulCommClass α G G] [MeasurableSpace α] [MeasurableSMul α G]
[IsMulLeftInvariant μ] (a : α) :
IsMulLeftInvariant (map (a • · : G → G) μ) :=
(forall_measure_preimage_mul_iff _).1 fun x _ hs =>
(smulInvariantMeasure_map_smul μ a).measure_preimage_smul x hs
/-- The image of a right invariant measure under a left action is right invariant, assuming that
the action preserves multiplication. -/
@[to_additive "The image of a right invariant measure under a left additive action is right
invariant, assuming that the action preserves addition."]
theorem isMulRightInvariant_map_smul
{α} [SMul α G] [SMulCommClass α Gᵐᵒᵖ G] [MeasurableSpace α] [MeasurableSMul α G]
[IsMulRightInvariant μ] (a : α) :
IsMulRightInvariant (map (a • · : G → G) μ) :=
(forall_measure_preimage_mul_right_iff _).1 fun x _ hs =>
(smulInvariantMeasure_map_smul μ a).measure_preimage_smul (MulOpposite.op x) hs
/-- The image of a left invariant measure under right multiplication is left invariant. -/
@[to_additive isMulLeftInvariant_map_add_right
"The image of a left invariant measure under right addition is left invariant."]
instance isMulLeftInvariant_map_mul_right [IsMulLeftInvariant μ] (g : G) :
IsMulLeftInvariant (map (· * g) μ) :=
isMulLeftInvariant_map_smul (MulOpposite.op g)
/-- The image of a right invariant measure under left multiplication is right invariant. -/
@[to_additive isMulRightInvariant_map_add_left
"The image of a right invariant measure under left addition is right invariant."]
instance isMulRightInvariant_map_mul_left [IsMulRightInvariant μ] (g : G) :
IsMulRightInvariant (map (g * ·) μ) :=
isMulRightInvariant_map_smul g
end Semigroup
section DivInvMonoid
variable [DivInvMonoid G]
@[to_additive]
theorem map_div_right_eq_self (μ : Measure G) [IsMulRightInvariant μ] (g : G) :
map (· / g) μ = μ := by simp_rw [div_eq_mul_inv, map_mul_right_eq_self μ g⁻¹]
end DivInvMonoid
section Group
variable [Group G] [MeasurableMul G]
@[to_additive]
theorem measurePreserving_div_right (μ : Measure G) [IsMulRightInvariant μ] (g : G) :
MeasurePreserving (· / g) μ μ := by simp_rw [div_eq_mul_inv, measurePreserving_mul_right μ g⁻¹]
/-- We shorten this from `measure_preimage_mul_left`, since left invariant is the preferred option
for measures in this formalization. -/
@[to_additive (attr := simp)
"We shorten this from `measure_preimage_add_left`, since left invariant is the preferred option for
measures in this formalization."]
theorem measure_preimage_mul (μ : Measure G) [IsMulLeftInvariant μ] (g : G) (A : Set G) :
μ ((fun h => g * h) ⁻¹' A) = μ A :=
calc
μ ((fun h => g * h) ⁻¹' A) = map (fun h => g * h) μ A :=
((MeasurableEquiv.mulLeft g).map_apply A).symm
_ = μ A := by rw [map_mul_left_eq_self μ g]
@[to_additive (attr := simp)]
theorem measure_preimage_mul_right (μ : Measure G) [IsMulRightInvariant μ] (g : G) (A : Set G) :
μ ((fun h => h * g) ⁻¹' A) = μ A :=
calc
μ ((fun h => h * g) ⁻¹' A) = map (fun h => h * g) μ A :=
((MeasurableEquiv.mulRight g).map_apply A).symm
_ = μ A := by rw [map_mul_right_eq_self μ g]
@[to_additive]
theorem map_mul_left_ae (μ : Measure G) [IsMulLeftInvariant μ] (x : G) :
Filter.map (fun h => x * h) (ae μ) = ae μ :=
((MeasurableEquiv.mulLeft x).map_ae μ).trans <| congr_arg ae <| map_mul_left_eq_self μ x
@[to_additive]
theorem map_mul_right_ae (μ : Measure G) [IsMulRightInvariant μ] (x : G) :
Filter.map (fun h => h * x) (ae μ) = ae μ :=
((MeasurableEquiv.mulRight x).map_ae μ).trans <| congr_arg ae <| map_mul_right_eq_self μ x
@[to_additive]
theorem map_div_right_ae (μ : Measure G) [IsMulRightInvariant μ] (x : G) :
Filter.map (fun t => t / x) (ae μ) = ae μ :=
((MeasurableEquiv.divRight x).map_ae μ).trans <| congr_arg ae <| map_div_right_eq_self μ x
@[to_additive]
theorem eventually_mul_left_iff (μ : Measure G) [IsMulLeftInvariant μ] (t : G) {p : G → Prop} :
(∀ᵐ x ∂μ, p (t * x)) ↔ ∀ᵐ x ∂μ, p x := by
conv_rhs => rw [Filter.Eventually, ← map_mul_left_ae μ t]
rfl
@[to_additive]
theorem eventually_mul_right_iff (μ : Measure G) [IsMulRightInvariant μ] (t : G) {p : G → Prop} :
(∀ᵐ x ∂μ, p (x * t)) ↔ ∀ᵐ x ∂μ, p x := by
conv_rhs => rw [Filter.Eventually, ← map_mul_right_ae μ t]
rfl
@[to_additive]
theorem eventually_div_right_iff (μ : Measure G) [IsMulRightInvariant μ] (t : G) {p : G → Prop} :
(∀ᵐ x ∂μ, p (x / t)) ↔ ∀ᵐ x ∂μ, p x := by
conv_rhs => rw [Filter.Eventually, ← map_div_right_ae μ t]
rfl
end Group
namespace Measure
-- TODO: noncomputable has to be specified explicitly. https://github.com/leanprover-community/mathlib4/issues/1074 (item 8)
/-- The measure `A ↦ μ (A⁻¹)`, where `A⁻¹` is the pointwise inverse of `A`. -/
@[to_additive "The measure `A ↦ μ (- A)`, where `- A` is the pointwise negation of `A`."]
protected noncomputable def inv [Inv G] (μ : Measure G) : Measure G :=
Measure.map inv μ
/-- A measure is invariant under negation if `- μ = μ`. Equivalently, this means that for all
measurable `A` we have `μ (- A) = μ A`, where `- A` is the pointwise negation of `A`. -/
class IsNegInvariant [Neg G] (μ : Measure G) : Prop where
neg_eq_self : μ.neg = μ
/-- A measure is invariant under inversion if `μ⁻¹ = μ`. Equivalently, this means that for all
measurable `A` we have `μ (A⁻¹) = μ A`, where `A⁻¹` is the pointwise inverse of `A`. -/
@[to_additive existing]
class IsInvInvariant [Inv G] (μ : Measure G) : Prop where
inv_eq_self : μ.inv = μ
section Inv
variable [Inv G]
@[to_additive]
theorem inv_def (μ : Measure G) : μ.inv = Measure.map inv μ := rfl
@[to_additive (attr := simp)]
theorem inv_eq_self (μ : Measure G) [IsInvInvariant μ] : μ.inv = μ :=
IsInvInvariant.inv_eq_self
@[to_additive (attr := simp)]
theorem map_inv_eq_self (μ : Measure G) [IsInvInvariant μ] : map Inv.inv μ = μ :=
IsInvInvariant.inv_eq_self
variable [MeasurableInv G]
@[to_additive]
theorem measurePreserving_inv (μ : Measure G) [IsInvInvariant μ] : MeasurePreserving Inv.inv μ μ :=
⟨measurable_inv, map_inv_eq_self μ⟩
@[to_additive]
instance inv.instSFinite (μ : Measure G) [SFinite μ] : SFinite μ.inv := by
rw [Measure.inv]; infer_instance
end Inv
section InvolutiveInv
variable [InvolutiveInv G] [MeasurableInv G]
@[to_additive (attr := simp)]
theorem inv_apply (μ : Measure G) (s : Set G) : μ.inv s = μ s⁻¹ :=
(MeasurableEquiv.inv G).map_apply s
@[to_additive (attr := simp)]
protected theorem inv_inv (μ : Measure G) : μ.inv.inv = μ :=
(MeasurableEquiv.inv G).map_symm_map
@[to_additive (attr := simp)]
theorem measure_inv (μ : Measure G) [IsInvInvariant μ] (A : Set G) : μ A⁻¹ = μ A := by
rw [← inv_apply, inv_eq_self]
@[to_additive]
theorem measure_preimage_inv (μ : Measure G) [IsInvInvariant μ] (A : Set G) :
μ (Inv.inv ⁻¹' A) = μ A :=
μ.measure_inv A
@[to_additive]
instance inv.instSigmaFinite (μ : Measure G) [SigmaFinite μ] : SigmaFinite μ.inv :=
(MeasurableEquiv.inv G).sigmaFinite_map
end InvolutiveInv
section DivisionMonoid
variable [DivisionMonoid G] [MeasurableMul G] [MeasurableInv G] {μ : Measure G}
@[to_additive]
instance inv.instIsMulRightInvariant [IsMulLeftInvariant μ] : IsMulRightInvariant μ.inv := by
constructor
intro g
conv_rhs => rw [← map_mul_left_eq_self μ g⁻¹]
simp_rw [Measure.inv, map_map (measurable_mul_const g) measurable_inv,
map_map measurable_inv (measurable_const_mul g⁻¹), Function.comp_def, mul_inv_rev, inv_inv]
@[to_additive]
instance inv.instIsMulLeftInvariant [IsMulRightInvariant μ] : IsMulLeftInvariant μ.inv := by
constructor
intro g
conv_rhs => rw [← map_mul_right_eq_self μ g⁻¹]
simp_rw [Measure.inv, map_map (measurable_const_mul g) measurable_inv,
map_map measurable_inv (measurable_mul_const g⁻¹), Function.comp_def, mul_inv_rev, inv_inv]
@[to_additive]
theorem measurePreserving_div_left (μ : Measure G) [IsInvInvariant μ] [IsMulLeftInvariant μ]
(g : G) : MeasurePreserving (fun t => g / t) μ μ := by
simp_rw [div_eq_mul_inv]
exact (measurePreserving_mul_left μ g).comp (measurePreserving_inv μ)
@[to_additive]
theorem map_div_left_eq_self (μ : Measure G) [IsInvInvariant μ] [IsMulLeftInvariant μ] (g : G) :
map (fun t => g / t) μ = μ :=
(measurePreserving_div_left μ g).map_eq
@[to_additive]
theorem measurePreserving_mul_right_inv (μ : Measure G) [IsInvInvariant μ] [IsMulLeftInvariant μ]
(g : G) : MeasurePreserving (fun t => (g * t)⁻¹) μ μ :=
(measurePreserving_inv μ).comp <| measurePreserving_mul_left μ g
@[to_additive]
theorem map_mul_right_inv_eq_self (μ : Measure G) [IsInvInvariant μ] [IsMulLeftInvariant μ]
(g : G) : map (fun t => (g * t)⁻¹) μ = μ :=
(measurePreserving_mul_right_inv μ g).map_eq
end DivisionMonoid
section Group
variable [Group G] {μ : Measure G}
section MeasurableMul
variable [MeasurableMul G]
@[to_additive]
instance : (count : Measure G).IsMulLeftInvariant where
map_mul_left_eq_self g := by
ext s hs
rw [count_apply hs, map_apply (measurable_const_mul _) hs,
count_apply (measurable_const_mul _ hs),
encard_preimage_of_bijective (Group.mulLeft_bijective _)]
@[to_additive]
instance : (count : Measure G).IsMulRightInvariant where
map_mul_right_eq_self g := by
ext s hs
rw [count_apply hs, map_apply (measurable_mul_const _) hs,
count_apply (measurable_mul_const _ hs),
encard_preimage_of_bijective (Group.mulRight_bijective _)]
end MeasurableMul
variable [MeasurableInv G]
@[to_additive]
instance : (count : Measure G).IsInvInvariant where
inv_eq_self := by ext s hs; rw [count_apply hs, inv_apply, count_apply hs.inv, encard_inv]
variable [MeasurableMul G]
@[to_additive]
theorem map_div_left_ae (μ : Measure G) [IsMulLeftInvariant μ] [IsInvInvariant μ] (x : G) :
Filter.map (fun t => x / t) (ae μ) = ae μ :=
((MeasurableEquiv.divLeft x).map_ae μ).trans <| congr_arg ae <| map_div_left_eq_self μ x
end Group
end Measure
section IsTopologicalGroup
variable [TopologicalSpace G] [BorelSpace G] {μ : Measure G} [Group G]
@[to_additive]
instance Measure.IsFiniteMeasureOnCompacts.inv [ContinuousInv G] [IsFiniteMeasureOnCompacts μ] :
IsFiniteMeasureOnCompacts μ.inv :=
IsFiniteMeasureOnCompacts.map μ (Homeomorph.inv G)
@[to_additive]
instance Measure.IsOpenPosMeasure.inv [ContinuousInv G] [IsOpenPosMeasure μ] :
IsOpenPosMeasure μ.inv :=
(Homeomorph.inv G).continuous.isOpenPosMeasure_map (Homeomorph.inv G).surjective
@[to_additive]
instance Measure.Regular.inv [ContinuousInv G] [Regular μ] : Regular μ.inv :=
Regular.map (Homeomorph.inv G)
@[to_additive]
instance Measure.InnerRegular.inv [ContinuousInv G] [InnerRegular μ] : InnerRegular μ.inv :=
InnerRegular.map (Homeomorph.inv G)
/-- The image of an inner regular measure under map of a left action is again inner regular. -/
@[to_additive
"The image of a inner regular measure under map of a left additive action is again
inner regular"]
instance innerRegular_map_smul {α} [Monoid α] [MulAction α G] [ContinuousConstSMul α G]
[InnerRegular μ] (a : α) : InnerRegular (Measure.map (a • · : G → G) μ) :=
InnerRegular.map_of_continuous (continuous_const_smul a)
/-- The image of an inner regular measure under left multiplication is again inner regular. -/
@[to_additive "The image of an inner regular measure under left addition is again inner regular."]
instance innerRegular_map_mul_left [IsTopologicalGroup G] [InnerRegular μ] (g : G) :
InnerRegular (Measure.map (g * ·) μ) := InnerRegular.map_of_continuous (continuous_mul_left g)
/-- The image of an inner regular measure under right multiplication is again inner regular. -/
@[to_additive "The image of an inner regular measure under right addition is again inner regular."]
instance innerRegular_map_mul_right [IsTopologicalGroup G] [InnerRegular μ] (g : G) :
InnerRegular (Measure.map (· * g) μ) := InnerRegular.map_of_continuous (continuous_mul_right g)
variable [IsTopologicalGroup G]
@[to_additive]
theorem regular_inv_iff : μ.inv.Regular ↔ μ.Regular :=
Regular.map_iff (Homeomorph.inv G)
@[to_additive]
theorem innerRegular_inv_iff : μ.inv.InnerRegular ↔ μ.InnerRegular :=
InnerRegular.map_iff (Homeomorph.inv G)
/-- Continuity of the measure of translates of a compact set: Given a compact set `k` in a
topological group, for `g` close enough to the origin, `μ (g • k \ k)` is arbitrarily small. -/
@[to_additive]
lemma eventually_nhds_one_measure_smul_diff_lt [LocallyCompactSpace G]
[IsFiniteMeasureOnCompacts μ] [InnerRegularCompactLTTop μ] {k : Set G}
(hk : IsCompact k) (h'k : IsClosed k) {ε : ℝ≥0∞} (hε : ε ≠ 0) :
∀ᶠ g in 𝓝 (1 : G), μ (g • k \ k) < ε := by
obtain ⟨U, hUk, hU, hμUk⟩ : ∃ (U : Set G), k ⊆ U ∧ IsOpen U ∧ μ U < μ k + ε :=
hk.exists_isOpen_lt_add hε
obtain ⟨V, hV1, hVkU⟩ : ∃ V ∈ 𝓝 (1 : G), V * k ⊆ U := compact_open_separated_mul_left hk hU hUk
filter_upwards [hV1] with g hg
calc
μ (g • k \ k) ≤ μ (U \ k) := by
gcongr
exact (smul_set_subset_smul hg).trans hVkU
_ < ε := measure_diff_lt_of_lt_add h'k.nullMeasurableSet hUk hk.measure_lt_top.ne hμUk
/-- Continuity of the measure of translates of a compact set:
Given a closed compact set `k` in a topological group,
the measure of `g • k \ k` tends to zero as `g` tends to `1`. -/
@[to_additive]
lemma tendsto_measure_smul_diff_isCompact_isClosed [LocallyCompactSpace G]
[IsFiniteMeasureOnCompacts μ] [InnerRegularCompactLTTop μ] {k : Set G}
(hk : IsCompact k) (h'k : IsClosed k) :
Tendsto (fun g : G ↦ μ (g • k \ k)) (𝓝 1) (𝓝 0) :=
ENNReal.nhds_zero_basis.tendsto_right_iff.mpr <| fun _ h ↦
eventually_nhds_one_measure_smul_diff_lt hk h'k h.ne'
section IsMulLeftInvariant
variable [IsMulLeftInvariant μ]
/-- If a left-invariant measure gives positive mass to a compact set, then it gives positive mass to
any open set. -/
@[to_additive
"If a left-invariant measure gives positive mass to a compact set, then it gives positive mass to
any open set."]
theorem isOpenPosMeasure_of_mulLeftInvariant_of_compact (K : Set G) (hK : IsCompact K)
(h : μ K ≠ 0) : IsOpenPosMeasure μ := by
refine ⟨fun U hU hne => ?_⟩
contrapose! h
rw [← nonpos_iff_eq_zero]
rw [← hU.interior_eq] at hne
obtain ⟨t, hKt⟩ : ∃ t : Finset G, K ⊆ ⋃ (g : G) (_ : g ∈ t), (fun h : G => g * h) ⁻¹' U :=
compact_covered_by_mul_left_translates hK hne
calc
μ K ≤ μ (⋃ (g : G) (_ : g ∈ t), (fun h : G => g * h) ⁻¹' U) := measure_mono hKt
_ ≤ ∑ g ∈ t, μ ((fun h : G => g * h) ⁻¹' U) := measure_biUnion_finset_le _ _
_ = 0 := by simp [measure_preimage_mul, h]
/-- A nonzero left-invariant regular measure gives positive mass to any open set. -/
@[to_additive "A nonzero left-invariant regular measure gives positive mass to any open set."]
instance (priority := 80) isOpenPosMeasure_of_mulLeftInvariant_of_regular [Regular μ] [NeZero μ] :
IsOpenPosMeasure μ :=
let ⟨K, hK, h2K⟩ := Regular.exists_isCompact_not_null.mpr (NeZero.ne μ)
isOpenPosMeasure_of_mulLeftInvariant_of_compact K hK h2K
/-- A nonzero left-invariant inner regular measure gives positive mass to any open set. -/
@[to_additive "A nonzero left-invariant inner regular measure gives positive mass to any open set."]
instance (priority := 80) isOpenPosMeasure_of_mulLeftInvariant_of_innerRegular
[InnerRegular μ] [NeZero μ] :
IsOpenPosMeasure μ :=
let ⟨K, hK, h2K⟩ := InnerRegular.exists_isCompact_not_null.mpr (NeZero.ne μ)
isOpenPosMeasure_of_mulLeftInvariant_of_compact K hK h2K
@[to_additive]
theorem null_iff_of_isMulLeftInvariant [Regular μ] {s : Set G} (hs : IsOpen s) :
μ s = 0 ↔ s = ∅ ∨ μ = 0 := by
rcases eq_zero_or_neZero μ with rfl|hμ
· simp
· simp only [or_false, hs.measure_eq_zero_iff μ, NeZero.ne μ]
@[to_additive]
theorem measure_ne_zero_iff_nonempty_of_isMulLeftInvariant [Regular μ] (hμ : μ ≠ 0) {s : Set G}
(hs : IsOpen s) : μ s ≠ 0 ↔ s.Nonempty := by
simpa [null_iff_of_isMulLeftInvariant (μ := μ) hs, hμ] using nonempty_iff_ne_empty.symm
@[to_additive]
theorem measure_pos_iff_nonempty_of_isMulLeftInvariant [Regular μ] (h3μ : μ ≠ 0) {s : Set G}
(hs : IsOpen s) : 0 < μ s ↔ s.Nonempty :=
pos_iff_ne_zero.trans <| measure_ne_zero_iff_nonempty_of_isMulLeftInvariant h3μ hs
/-- If a left-invariant measure gives finite mass to a nonempty open set, then it gives finite mass
to any compact set. -/
@[to_additive
"If a left-invariant measure gives finite mass to a nonempty open set, then it gives finite mass to
any compact set."]
theorem measure_lt_top_of_isCompact_of_isMulLeftInvariant (U : Set G) (hU : IsOpen U)
(h'U : U.Nonempty) (h : μ U ≠ ∞) {K : Set G} (hK : IsCompact K) : μ K < ∞ := by
rw [← hU.interior_eq] at h'U
obtain ⟨t, hKt⟩ : ∃ t : Finset G, K ⊆ ⋃ g ∈ t, (fun h : G => g * h) ⁻¹' U :=
compact_covered_by_mul_left_translates hK h'U
exact (measure_mono hKt).trans_lt <| measure_biUnion_lt_top t.finite_toSet <| by simp [h.lt_top]
/-- If a left-invariant measure gives finite mass to a set with nonempty interior, then
it gives finite mass to any compact set. -/
@[to_additive
"If a left-invariant measure gives finite mass to a set with nonempty interior, then it gives finite
mass to any compact set."]
theorem measure_lt_top_of_isCompact_of_isMulLeftInvariant' {U : Set G}
(hU : (interior U).Nonempty) (h : μ U ≠ ∞) {K : Set G} (hK : IsCompact K) : μ K < ∞ :=
measure_lt_top_of_isCompact_of_isMulLeftInvariant (interior U) isOpen_interior hU
((measure_mono interior_subset).trans_lt (lt_top_iff_ne_top.2 h)).ne hK
/-- In a noncompact locally compact group, a left-invariant measure which is positive
on open sets has infinite mass. -/
@[to_additive (attr := simp)
"In a noncompact locally compact additive group, a left-invariant measure which is positive on open
sets has infinite mass."]
theorem measure_univ_of_isMulLeftInvariant [WeaklyLocallyCompactSpace G] [NoncompactSpace G]
(μ : Measure G) [IsOpenPosMeasure μ] [μ.IsMulLeftInvariant] : μ univ = ∞ := by
/- Consider a closed compact set `K` with nonempty interior. For any compact set `L`, one may
find `g = g (L)` such that `L` is disjoint from `g • K`. Iterating this, one finds
infinitely many translates of `K` which are disjoint from each other. As they all have the
same positive mass, it follows that the space has infinite measure. -/
obtain ⟨K, K1, hK, Kclosed⟩ : ∃ K ∈ 𝓝 (1 : G), IsCompact K ∧ IsClosed K :=
exists_mem_nhds_isCompact_isClosed 1
have K_pos : 0 < μ K := measure_pos_of_mem_nhds μ K1
have A : ∀ L : Set G, IsCompact L → ∃ g : G, Disjoint L (g • K) := fun L hL =>
exists_disjoint_smul_of_isCompact hL hK
choose! g hg using A
set L : ℕ → Set G := fun n => (fun T => T ∪ g T • K)^[n] K
have Lcompact : ∀ n, IsCompact (L n) := by
intro n
induction' n with n IH
· exact hK
· simp_rw [L, iterate_succ']
apply IsCompact.union IH (hK.smul (g (L n)))
have Lclosed : ∀ n, IsClosed (L n) := by
intro n
induction' n with n IH
· exact Kclosed
· simp_rw [L, iterate_succ']
apply IsClosed.union IH (Kclosed.smul (g (L n)))
have M : ∀ n, μ (L n) = (n + 1 : ℕ) * μ K := by
intro n
induction' n with n IH
· simp only [L, one_mul, Nat.cast_one, iterate_zero, id, Nat.zero_add]
· calc
μ (L (n + 1)) = μ (L n) + μ (g (L n) • K) := by
simp_rw [L, iterate_succ']
exact measure_union' (hg _ (Lcompact _)) (Lclosed _).measurableSet
_ = (n + 1 + 1 : ℕ) * μ K := by
simp only [IH, measure_smul, add_mul, Nat.cast_add, Nat.cast_one, one_mul]
have N : Tendsto (fun n => μ (L n)) atTop (𝓝 (∞ * μ K)) := by
simp_rw [M]
apply ENNReal.Tendsto.mul_const _ (Or.inl ENNReal.top_ne_zero)
exact ENNReal.tendsto_nat_nhds_top.comp (tendsto_add_atTop_nat _)
simp only [ENNReal.top_mul', K_pos.ne', if_false] at N
apply top_le_iff.1
exact le_of_tendsto' N fun n => measure_mono (subset_univ _)
@[to_additive]
lemma _root_.MeasurableSet.mul_closure_one_eq {s : Set G} (hs : MeasurableSet s) :
s * (closure {1} : Set G) = s := by
induction s, hs using MeasurableSet.induction_on_open with
| isOpen U hU => exact hU.mul_closure_one_eq
| compl t _ iht => exact compl_mul_closure_one_eq_iff.2 iht
| iUnion f _ _ ihf => simp_rw [iUnion_mul f, ihf]
@[to_additive (attr := simp)]
lemma measure_mul_closure_one (s : Set G) (μ : Measure G) :
μ (s * (closure {1} : Set G)) = μ s := by
apply le_antisymm ?_ (measure_mono (subset_mul_closure_one s))
conv_rhs => rw [measure_eq_iInf]
simp only [le_iInf_iff]
intro t kt t_meas
apply measure_mono
rw [← t_meas.mul_closure_one_eq]
exact smul_subset_smul_right kt
end IsMulLeftInvariant
@[to_additive]
lemma innerRegularWRT_isCompact_isClosed_measure_ne_top_of_group [h : InnerRegularCompactLTTop μ] :
InnerRegularWRT μ (fun s ↦ IsCompact s ∧ IsClosed s) (fun s ↦ MeasurableSet s ∧ μ s ≠ ∞) := by
intro s ⟨s_meas, μs⟩ r hr
rcases h.innerRegular ⟨s_meas, μs⟩ r hr with ⟨K, Ks, K_comp, hK⟩
refine ⟨closure K, ?_, ⟨K_comp.closure, isClosed_closure⟩, ?_⟩
· exact IsCompact.closure_subset_measurableSet K_comp s_meas Ks
· rwa [K_comp.measure_closure]
end IsTopologicalGroup
section CommSemigroup
variable [CommSemigroup G]
/-- In an abelian group every left invariant measure is also right-invariant.
We don't declare the converse as an instance, since that would loop type-class inference, and
we use `IsMulLeftInvariant` as the default hypothesis in abelian groups. -/
@[to_additive IsAddLeftInvariant.isAddRightInvariant
"In an abelian additive group every left invariant measure is also right-invariant. We don't declare
the converse as an instance, since that would loop type-class inference, and we use
`IsAddLeftInvariant` as the default hypothesis in abelian groups."]
instance (priority := 100) IsMulLeftInvariant.isMulRightInvariant {μ : Measure G}
[IsMulLeftInvariant μ] : IsMulRightInvariant μ :=
⟨fun g => by simp_rw [mul_comm, map_mul_left_eq_self]⟩
end CommSemigroup
section Haar
namespace Measure
/-- A measure on an additive group is an additive Haar measure if it is left-invariant, and
gives finite mass to compact sets and positive mass to open sets.
Textbooks generally require an additional regularity assumption to ensure nice behavior on
arbitrary locally compact groups. Use `[IsAddHaarMeasure μ] [Regular μ]` or
`[IsAddHaarMeasure μ] [InnerRegular μ]` in these situations. Note that a Haar measure in our
sense is automatically regular and inner regular on second countable locally compact groups, as
checked just below this definition. -/
class IsAddHaarMeasure {G : Type*} [AddGroup G] [TopologicalSpace G] [MeasurableSpace G]
(μ : Measure G) : Prop
extends IsFiniteMeasureOnCompacts μ, IsAddLeftInvariant μ, IsOpenPosMeasure μ
/-- A measure on a group is a Haar measure if it is left-invariant, and gives finite mass to
compact sets and positive mass to open sets.
Textbooks generally require an additional regularity assumption to ensure nice behavior on
arbitrary locally compact groups. Use `[IsHaarMeasure μ] [Regular μ]` or
`[IsHaarMeasure μ] [InnerRegular μ]` in these situations. Note that a Haar measure in our
sense is automatically regular and inner regular on second countable locally compact groups, as
checked just below this definition. -/
@[to_additive existing]
class IsHaarMeasure {G : Type*} [Group G] [TopologicalSpace G] [MeasurableSpace G]
(μ : Measure G) : Prop
extends IsFiniteMeasureOnCompacts μ, IsMulLeftInvariant μ, IsOpenPosMeasure μ
variable [Group G] [TopologicalSpace G] (μ : Measure G) [IsHaarMeasure μ]
@[to_additive (attr := simp)]
theorem haar_singleton [ContinuousMul G] [BorelSpace G] (g : G) : μ {g} = μ {(1 : G)} := by
convert measure_preimage_mul μ g⁻¹ _
simp only [mul_one, preimage_mul_left_singleton, inv_inv]
@[to_additive IsAddHaarMeasure.smul]
theorem IsHaarMeasure.smul {c : ℝ≥0∞} (cpos : c ≠ 0) (ctop : c ≠ ∞) : IsHaarMeasure (c • μ) :=
{ lt_top_of_isCompact := fun _K hK => ENNReal.mul_lt_top ctop.lt_top hK.measure_lt_top
toIsOpenPosMeasure := isOpenPosMeasure_smul μ cpos }
/-- If a left-invariant measure gives positive mass to some compact set with nonempty interior, then
it is a Haar measure. -/
@[to_additive
| "If a left-invariant measure gives positive mass to some compact set with nonempty interior, then
it is an additive Haar measure."]
theorem isHaarMeasure_of_isCompact_nonempty_interior [IsTopologicalGroup G] [BorelSpace G]
(μ : Measure G) [IsMulLeftInvariant μ] (K : Set G) (hK : IsCompact K)
(h'K : (interior K).Nonempty) (h : μ K ≠ 0) (h' : μ K ≠ ∞) : IsHaarMeasure μ :=
{ lt_top_of_isCompact := fun _L hL =>
measure_lt_top_of_isCompact_of_isMulLeftInvariant' h'K h' hL
toIsOpenPosMeasure := isOpenPosMeasure_of_mulLeftInvariant_of_compact K hK h }
/-- The image of a Haar measure under a continuous surjective proper group homomorphism is again
a Haar measure. See also `MulEquiv.isHaarMeasure_map` and `ContinuousMulEquiv.isHaarMeasure_map`. -/
@[to_additive
"The image of an additive Haar measure under a continuous surjective proper additive group
homomorphism is again an additive Haar measure. See also `AddEquiv.isAddHaarMeasure_map`,
`ContinuousAddEquiv.isAddHaarMeasure_map` and `ContinuousLinearEquiv.isAddHaarMeasure_map`."]
theorem isHaarMeasure_map [BorelSpace G] [ContinuousMul G] {H : Type*} [Group H]
[TopologicalSpace H] [MeasurableSpace H] [BorelSpace H] [IsTopologicalGroup H]
(f : G →* H) (hf : Continuous f) (h_surj : Surjective f)
(h_prop : Tendsto f (cocompact G) (cocompact H)) : IsHaarMeasure (Measure.map f μ) :=
{ toIsMulLeftInvariant := isMulLeftInvariant_map f.toMulHom hf.measurable h_surj
lt_top_of_isCompact := by
intro K hK
rw [← hK.measure_closure, map_apply hf.measurable isClosed_closure.measurableSet]
set g : CocompactMap G H := ⟨⟨f, hf⟩, h_prop⟩
exact IsCompact.measure_lt_top (g.isCompact_preimage_of_isClosed hK.closure isClosed_closure)
toIsOpenPosMeasure := hf.isOpenPosMeasure_map h_surj }
/-- The image of a finite Haar measure under a continuous surjective group homomorphism is again
a Haar measure. See also `isHaarMeasure_map`. -/
@[to_additive
"The image of a finite additive Haar measure under a continuous surjective additive group
homomorphism is again an additive Haar measure. See also `isAddHaarMeasure_map`."]
theorem isHaarMeasure_map_of_isFiniteMeasure
[BorelSpace G] [ContinuousMul G] {H : Type*} [Group H]
[TopologicalSpace H] [MeasurableSpace H] [BorelSpace H] [ContinuousMul H]
[IsFiniteMeasure μ] (f : G →* H) (hf : Continuous f) (h_surj : Surjective f) :
IsHaarMeasure (Measure.map f μ) where
toIsMulLeftInvariant := isMulLeftInvariant_map f.toMulHom hf.measurable h_surj
toIsOpenPosMeasure := hf.isOpenPosMeasure_map h_surj
/-- The image of a Haar measure under map of a left action is again a Haar measure. -/
@[to_additive
| Mathlib/MeasureTheory/Group/Measure.lean | 729 | 770 |
/-
Copyright (c) 2018 Kenny Lau. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kenny Lau, Yury Kudryashov
-/
import Mathlib.Algebra.Module.LinearMap.Defs
/-!
# Algebras over commutative semirings
In this file we define associative unital `Algebra`s over commutative (semi)rings.
* algebra homomorphisms `AlgHom` are defined in `Mathlib.Algebra.Algebra.Hom`;
* algebra equivalences `AlgEquiv` are defined in `Mathlib.Algebra.Algebra.Equiv`;
* `Subalgebra`s are defined in `Mathlib.Algebra.Algebra.Subalgebra`;
* The category `AlgebraCat R` of `R`-algebras is defined in the file
`Mathlib.Algebra.Category.Algebra.Basic`.
See the implementation notes for remarks about non-associative and non-unital algebras.
## Main definitions:
* `Algebra R A`: the algebra typeclass.
* `algebraMap R A : R →+* A`: the canonical map from `R` to `A`, as a `RingHom`. This is the
preferred spelling of this map, it is also available as:
* `Algebra.linearMap R A : R →ₗ[R] A`, a `LinearMap`.
* `Algebra.ofId R A : R →ₐ[R] A`, an `AlgHom` (defined in a later file).
## Implementation notes
Given a commutative (semi)ring `R`, there are two ways to define an `R`-algebra structure on a
(possibly noncommutative) (semi)ring `A`:
* By endowing `A` with a morphism of rings `R →+* A` denoted `algebraMap R A` which lands in the
center of `A`.
* By requiring `A` be an `R`-module such that the action associates and commutes with multiplication
as `r • (a₁ * a₂) = (r • a₁) * a₂ = a₁ * (r • a₂)`.
We define `Algebra R A` in a way that subsumes both definitions, by extending `SMul R A` and
requiring that this scalar action `r • x` must agree with left multiplication by the image of the
structure morphism `algebraMap R A r * x`.
As a result, there are two ways to talk about an `R`-algebra `A` when `A` is a semiring:
1. ```lean
variable [CommSemiring R] [Semiring A]
variable [Algebra R A]
```
2. ```lean
variable [CommSemiring R] [Semiring A]
variable [Module R A] [SMulCommClass R A A] [IsScalarTower R A A]
```
The first approach implies the second via typeclass search; so any lemma stated with the second set
of arguments will automatically apply to the first set. Typeclass search does not know that the
second approach implies the first, but this can be shown with:
```lean
example {R A : Type*} [CommSemiring R] [Semiring A]
[Module R A] [SMulCommClass R A A] [IsScalarTower R A A] : Algebra R A :=
Algebra.ofModule smul_mul_assoc mul_smul_comm
```
The advantage of the first approach is that `algebraMap R A` is available, and `AlgHom R A B` and
`Subalgebra R A` can be used. For concrete `R` and `A`, `algebraMap R A` is often definitionally
convenient.
The advantage of the second approach is that `CommSemiring R`, `Semiring A`, and `Module R A` can
all be relaxed independently; for instance, this allows us to:
* Replace `Semiring A` with `NonUnitalNonAssocSemiring A` in order to describe non-unital and/or
non-associative algebras.
* Replace `CommSemiring R` and `Module R A` with `CommGroup R'` and `DistribMulAction R' A`,
which when `R' = Rˣ` lets us talk about the "algebra-like" action of `Rˣ` on an
`R`-algebra `A`.
While `AlgHom R A B` cannot be used in the second approach, `NonUnitalAlgHom R A B` still can.
You should always use the first approach when working with associative unital algebras, and mimic
the second approach only when you need to weaken a condition on either `R` or `A`.
-/
assert_not_exists Field Finset Module.End
universe u v w u₁ v₁
section Prio
/-- An associative unital `R`-algebra is a semiring `A` equipped with a map into its center `R → A`.
See the implementation notes in this file for discussion of the details of this definition.
-/
class Algebra (R : Type u) (A : Type v) [CommSemiring R] [Semiring A] extends SMul R A where
/-- Embedding `R →+* A` given by `Algebra` structure.
Use `algebraMap` from the root namespace instead. -/
protected algebraMap : R →+* A
commutes' : ∀ r x, algebraMap r * x = x * algebraMap r
smul_def' : ∀ r x, r • x = algebraMap r * x
end Prio
/-- Embedding `R →+* A` given by `Algebra` structure. -/
def algebraMap (R : Type u) (A : Type v) [CommSemiring R] [Semiring A] [Algebra R A] : R →+* A :=
Algebra.algebraMap
/-- Coercion from a commutative semiring to an algebra over this semiring. -/
@[coe, reducible]
def Algebra.cast {R A : Type*} [CommSemiring R] [Semiring A] [Algebra R A] : R → A :=
algebraMap R A
namespace algebraMap
scoped instance coeHTCT (R A : Type*) [CommSemiring R] [Semiring A] [Algebra R A] :
CoeHTCT R A :=
⟨Algebra.cast⟩
section CommSemiringSemiring
variable {R A : Type*} [CommSemiring R] [Semiring A] [Algebra R A]
@[norm_cast]
theorem coe_zero : (↑(0 : R) : A) = 0 :=
map_zero (algebraMap R A)
@[norm_cast]
theorem coe_one : (↑(1 : R) : A) = 1 :=
map_one (algebraMap R A)
@[norm_cast]
theorem coe_natCast (a : ℕ) : (↑(a : R) : A) = a :=
map_natCast (algebraMap R A) a
@[norm_cast]
theorem coe_add (a b : R) : (↑(a + b : R) : A) = ↑a + ↑b :=
map_add (algebraMap R A) a b
@[norm_cast]
theorem coe_mul (a b : R) : (↑(a * b : R) : A) = ↑a * ↑b :=
map_mul (algebraMap R A) a b
@[norm_cast]
theorem coe_pow (a : R) (n : ℕ) : (↑(a ^ n : R) : A) = (a : A) ^ n :=
map_pow (algebraMap R A) _ _
end CommSemiringSemiring
section CommRingRing
variable {R A : Type*} [CommRing R] [Ring A] [Algebra R A]
@[norm_cast]
theorem coe_neg (x : R) : (↑(-x : R) : A) = -↑x :=
map_neg (algebraMap R A) x
@[norm_cast]
theorem coe_sub (a b : R) :
(↑(a - b : R) : A) = ↑a - ↑b :=
map_sub (algebraMap R A) a b
end CommRingRing
end algebraMap
/-- Creating an algebra from a morphism to the center of a semiring.
See note [reducible non-instances]. -/
abbrev RingHom.toAlgebra' {R S} [CommSemiring R] [Semiring S] (i : R →+* S)
(h : ∀ c x, i c * x = x * i c) : Algebra R S where
smul c x := i c * x
commutes' := h
smul_def' _ _ := rfl
algebraMap := i
-- just simple lemmas for a declaration that is itself primed, no need for docstrings
set_option linter.docPrime false in
theorem RingHom.smul_toAlgebra' {R S} [CommSemiring R] [Semiring S] (i : R →+* S)
(h : ∀ c x, i c * x = x * i c) (r : R) (s : S) :
let _ := RingHom.toAlgebra' i h
r • s = i r * s := rfl
set_option linter.docPrime false in
theorem RingHom.algebraMap_toAlgebra' {R S} [CommSemiring R] [Semiring S] (i : R →+* S)
(h : ∀ c x, i c * x = x * i c) :
@algebraMap R S _ _ (i.toAlgebra' h) = i :=
rfl
/-- Creating an algebra from a morphism to a commutative semiring.
See note [reducible non-instances]. -/
abbrev RingHom.toAlgebra {R S} [CommSemiring R] [CommSemiring S] (i : R →+* S) : Algebra R S :=
i.toAlgebra' fun _ => mul_comm _
theorem RingHom.smul_toAlgebra {R S} [CommSemiring R] [CommSemiring S] (i : R →+* S)
(r : R) (s : S) :
let _ := RingHom.toAlgebra i
r • s = i r * s := rfl
theorem RingHom.algebraMap_toAlgebra {R S} [CommSemiring R] [CommSemiring S] (i : R →+* S) :
@algebraMap R S _ _ i.toAlgebra = i :=
rfl
namespace Algebra
variable {R : Type u} {S : Type v} {A : Type w} {B : Type*}
/-- Let `R` be a commutative semiring, let `A` be a semiring with a `Module R` structure.
If `(r • 1) * x = x * (r • 1) = r • x` for all `r : R` and `x : A`, then `A` is an `Algebra`
over `R`.
See note [reducible non-instances]. -/
abbrev ofModule' [CommSemiring R] [Semiring A] [Module R A]
(h₁ : ∀ (r : R) (x : A), r • (1 : A) * x = r • x)
(h₂ : ∀ (r : R) (x : A), x * r • (1 : A) = r • x) : Algebra R A where
algebraMap :=
{ toFun r := r • (1 : A)
map_one' := one_smul _ _
map_mul' r₁ r₂ := by simp only [h₁, mul_smul]
map_zero' := zero_smul _ _
map_add' r₁ r₂ := add_smul r₁ r₂ 1 }
commutes' r x := by simp [h₁, h₂]
smul_def' r x := by simp [h₁]
/-- Let `R` be a commutative semiring, let `A` be a semiring with a `Module R` structure.
If `(r • x) * y = x * (r • y) = r • (x * y)` for all `r : R` and `x y : A`, then `A`
is an `Algebra` over `R`.
See note [reducible non-instances]. -/
abbrev ofModule [CommSemiring R] [Semiring A] [Module R A]
(h₁ : ∀ (r : R) (x y : A), r • x * y = r • (x * y))
(h₂ : ∀ (r : R) (x y : A), x * r • y = r • (x * y)) : Algebra R A :=
ofModule' (fun r x => by rw [h₁, one_mul]) fun r x => by rw [h₂, mul_one]
section Semiring
variable [CommSemiring R] [CommSemiring S]
variable [Semiring A] [Algebra R A] [Semiring B] [Algebra R B]
-- We'll later use this to show `Algebra ℤ M` is a subsingleton.
/-- To prove two algebra structures on a fixed `[CommSemiring R] [Semiring A]` agree,
it suffices to check the `algebraMap`s agree.
-/
@[ext]
theorem algebra_ext {R : Type*} [CommSemiring R] {A : Type*} [Semiring A] (P Q : Algebra R A)
(h : ∀ r : R, (haveI := P; algebraMap R A r) = haveI := Q; algebraMap R A r) :
P = Q := by
replace h : P.algebraMap = Q.algebraMap := DFunLike.ext _ _ h
have h' : (haveI := P; (· • ·) : R → A → A) = (haveI := Q; (· • ·) : R → A → A) := by
funext r a
rw [P.smul_def', Q.smul_def', h]
rcases P with @⟨⟨P⟩⟩
rcases Q with @⟨⟨Q⟩⟩
congr
-- see Note [lower instance priority]
instance (priority := 200) toModule {R A} {_ : CommSemiring R} {_ : Semiring A} [Algebra R A] :
Module R A where
one_smul _ := by simp [smul_def']
mul_smul := by simp [smul_def', mul_assoc]
smul_add := by simp [smul_def', mul_add]
smul_zero := by simp [smul_def']
add_smul := by simp [smul_def', add_mul]
zero_smul := by simp [smul_def']
theorem smul_def (r : R) (x : A) : r • x = algebraMap R A r * x :=
Algebra.smul_def' r x
theorem algebraMap_eq_smul_one (r : R) : algebraMap R A r = r • (1 : A) :=
calc
algebraMap R A r = algebraMap R A r * 1 := (mul_one _).symm
_ = r • (1 : A) := (Algebra.smul_def r 1).symm
theorem algebraMap_eq_smul_one' : ⇑(algebraMap R A) = fun r => r • (1 : A) :=
funext algebraMap_eq_smul_one
/-- `mul_comm` for `Algebra`s when one element is from the base ring. -/
theorem commutes (r : R) (x : A) : algebraMap R A r * x = x * algebraMap R A r :=
Algebra.commutes' r x
lemma commute_algebraMap_left (r : R) (x : A) : Commute (algebraMap R A r) x :=
Algebra.commutes r x
lemma commute_algebraMap_right (r : R) (x : A) : Commute x (algebraMap R A r) :=
(Algebra.commutes r x).symm
/-- `mul_left_comm` for `Algebra`s when one element is from the base ring. -/
theorem left_comm (x : A) (r : R) (y : A) :
x * (algebraMap R A r * y) = algebraMap R A r * (x * y) := by
rw [← mul_assoc, ← commutes, mul_assoc]
/-- `mul_right_comm` for `Algebra`s when one element is from the base ring. -/
theorem right_comm (x : A) (r : R) (y : A) :
x * algebraMap R A r * y = x * y * algebraMap R A r := by
rw [mul_assoc, commutes, ← mul_assoc]
instance _root_.IsScalarTower.right : IsScalarTower R A A :=
⟨fun x y z => by rw [smul_eq_mul, smul_eq_mul, smul_def, smul_def, mul_assoc]⟩
@[simp]
theorem _root_.RingHom.smulOneHom_eq_algebraMap : RingHom.smulOneHom = algebraMap R A :=
RingHom.ext fun r => (algebraMap_eq_smul_one r).symm
-- TODO: set up `IsScalarTower.smulCommClass` earlier so that we can actually prove this using
-- `mul_smul_comm s x y`.
/-- This is just a special case of the global `mul_smul_comm` lemma that requires less typeclass
search (and was here first). -/
@[simp]
protected theorem mul_smul_comm (s : R) (x y : A) : x * s • y = s • (x * y) := by
rw [smul_def, smul_def, left_comm]
/-- This is just a special case of the global `smul_mul_assoc` lemma that requires less typeclass
search (and was here first). -/
@[simp]
protected theorem smul_mul_assoc (r : R) (x y : A) : r • x * y = r • (x * y) :=
smul_mul_assoc r x y
@[simp]
theorem _root_.smul_algebraMap {α : Type*} [Monoid α] [MulDistribMulAction α A]
[SMulCommClass α R A] (a : α) (r : R) : a • algebraMap R A r = algebraMap R A r := by
rw [algebraMap_eq_smul_one, smul_comm a r (1 : A), smul_one]
section compHom
variable (A) (f : S →+* R)
/--
Compose an `Algebra` with a `RingHom`, with action `f s • m`.
This is the algebra version of `Module.compHom`.
-/
abbrev compHom : Algebra S A where
smul s a := f s • a
algebraMap := (algebraMap R A).comp f
commutes' _ _ := Algebra.commutes _ _
smul_def' _ _ := Algebra.smul_def _ _
theorem compHom_smul_def (s : S) (x : A) :
letI := compHom A f
s • x = f s • x := rfl
theorem compHom_algebraMap_eq :
letI := compHom A f
algebraMap S A = (algebraMap R A).comp f := rfl
theorem compHom_algebraMap_apply (s : S) :
letI := compHom A f
algebraMap S A s = (algebraMap R A) (f s) := rfl
end compHom
variable (R A)
/-- The canonical ring homomorphism `algebraMap R A : R →+* A` for any `R`-algebra `A`,
packaged as an `R`-linear map.
-/
protected def linearMap : R →ₗ[R] A :=
{ algebraMap R A with map_smul' := fun x y => by simp [Algebra.smul_def] }
@[simp]
theorem linearMap_apply (r : R) : Algebra.linearMap R A r = algebraMap R A r :=
rfl
theorem coe_linearMap : ⇑(Algebra.linearMap R A) = algebraMap R A :=
rfl
/-- The identity map inducing an `Algebra` structure. -/
instance (priority := 1100) id : Algebra R R where
-- We override `toFun` and `toSMul` because `RingHom.id` is not reducible and cannot
-- be made so without a significant performance hit.
-- see library note [reducible non-instances].
toSMul := Mul.toSMul _
__ := ({RingHom.id R with toFun x := x}).toAlgebra
variable {R A}
namespace id
@[simp]
theorem map_eq_id : algebraMap R R = RingHom.id _ :=
rfl
theorem map_eq_self (x : R) : algebraMap R R x = x :=
rfl
@[simp]
theorem smul_eq_mul (x y : R) : x • y = x * y :=
rfl
end id
|
end Semiring
| Mathlib/Algebra/Algebra/Defs.lean | 389 | 391 |
/-
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.CharP.Defs
import Mathlib.Algebra.Order.CauSeq.BigOperators
import Mathlib.Algebra.Order.Star.Basic
import Mathlib.Data.Complex.BigOperators
import Mathlib.Data.Complex.Norm
import Mathlib.Data.Nat.Choose.Sum
/-!
# Exponential Function
This file contains the definitions of the real and complex exponential function.
## Main definitions
* `Complex.exp`: The complex exponential function, defined via its Taylor series
* `Real.exp`: The real exponential function, defined as the real part of the complex exponential
-/
open CauSeq Finset IsAbsoluteValue
open scoped ComplexConjugate
namespace Complex
theorem isCauSeq_norm_exp (z : ℂ) :
IsCauSeq abs fun n => ∑ m ∈ range n, ‖z ^ m / m.factorial‖ :=
let ⟨n, hn⟩ := exists_nat_gt ‖z‖
have hn0 : (0 : ℝ) < n := lt_of_le_of_lt (norm_nonneg _) hn
IsCauSeq.series_ratio_test n (‖z‖ / n) (div_nonneg (norm_nonneg _) (le_of_lt hn0))
(by rwa [div_lt_iff₀ hn0, one_mul]) fun m hm => by
rw [abs_norm, abs_norm, Nat.factorial_succ, pow_succ', mul_comm m.succ, Nat.cast_mul,
← div_div, mul_div_assoc, mul_div_right_comm, Complex.norm_mul, Complex.norm_div,
norm_natCast]
gcongr
exact le_trans hm (Nat.le_succ _)
@[deprecated (since := "2025-02-16")] alias isCauSeq_abs_exp := isCauSeq_norm_exp
noncomputable section
theorem isCauSeq_exp (z : ℂ) : IsCauSeq (‖·‖) fun n => ∑ m ∈ range n, z ^ m / m.factorial :=
(isCauSeq_norm_exp z).of_abv
/-- The Cauchy sequence consisting of partial sums of the Taylor series of
the complex exponential function -/
@[pp_nodot]
def exp' (z : ℂ) : CauSeq ℂ (‖·‖) :=
⟨fun n => ∑ m ∈ range n, z ^ m / m.factorial, isCauSeq_exp z⟩
/-- The complex exponential function, defined via its Taylor series -/
@[pp_nodot]
def exp (z : ℂ) : ℂ :=
CauSeq.lim (exp' z)
/-- 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 -/
@[pp_nodot]
nonrec def exp (x : ℝ) : ℝ :=
(exp x).re
/-- 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 -- ε0 : ε > 0 but goal is _ < ε
rcases j with - | 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
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_cancel₀ 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_norm_exp x) (isCauSeq_exp y)
/-- the exponential function as a monoid hom from `Multiplicative ℂ` to `ℂ` -/
@[simps]
noncomputable def expMonoidHom : MonoidHom (Multiplicative ℂ) ℂ :=
{ toFun := fun z => exp z.toAdd,
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
theorem exp_multiset_sum (s : Multiset ℂ) : exp s.sum = (s.map exp).prod :=
@MonoidHom.map_multiset_prod (Multiplicative ℂ) ℂ _ _ expMonoidHom s
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
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]
@[simp]
theorem exp_ne_zero : exp x ≠ 0 := fun h =>
zero_ne_one (α := ℂ) <| by rw [← exp_zero, ← add_neg_cancel x, exp_add, h]; simp
theorem exp_neg : exp (-x) = (exp x)⁻¹ := by
rw [← mul_right_inj' (exp_ne_zero x), ← exp_add]; simp [mul_inv_cancel₀ (exp_ne_zero x)]
theorem exp_sub : exp (x - y) = exp x / exp y := by
simp [sub_eq_add_neg, exp_add, exp_neg, div_eq_mul_inv]
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]
@[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]
@[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]
@[simp, norm_cast]
theorem ofReal_exp (x : ℝ) : (Real.exp x : ℂ) = exp x :=
ofReal_exp_ofReal_re _
@[simp]
theorem exp_ofReal_im (x : ℝ) : (exp x).im = 0 := by rw [← ofReal_exp_ofReal_re, ofReal_im]
theorem exp_ofReal_re (x : ℝ) : (exp x).re = Real.exp x :=
rfl
end Complex
namespace Real
open Complex
variable (x y : ℝ)
@[simp]
theorem exp_zero : exp 0 = 1 := by simp [Real.exp]
nonrec theorem exp_add : exp (x + y) = exp x * exp y := by simp [exp_add, exp]
/-- the exponential function as a monoid hom from `Multiplicative ℝ` to `ℝ` -/
@[simps]
noncomputable def expMonoidHom : MonoidHom (Multiplicative ℝ) ℝ :=
{ toFun := fun x => exp x.toAdd,
map_one' := by simp,
map_mul' := by simp [exp_add] }
theorem exp_list_sum (l : List ℝ) : exp l.sum = (l.map exp).prod :=
map_list_prod (M := Multiplicative ℝ) expMonoidHom l
theorem exp_multiset_sum (s : Multiset ℝ) : exp s.sum = (s.map exp).prod :=
@MonoidHom.map_multiset_prod (Multiplicative ℝ) ℝ _ _ expMonoidHom s
theorem exp_sum {α : Type*} (s : Finset α) (f : α → ℝ) :
exp (∑ x ∈ s, f x) = ∏ x ∈ s, exp (f x) :=
map_prod (β := Multiplicative ℝ) expMonoidHom f s
lemma exp_nsmul (x : ℝ) (n : ℕ) : exp (n • x) = exp x ^ n :=
@MonoidHom.map_pow (Multiplicative ℝ) ℝ _ _ expMonoidHom _ _
nonrec theorem exp_nat_mul (x : ℝ) (n : ℕ) : exp (n * x) = exp x ^ n :=
ofReal_injective (by simp [exp_nat_mul])
@[simp]
nonrec theorem exp_ne_zero : exp x ≠ 0 := fun h =>
exp_ne_zero x <| by rw [exp, ← ofReal_inj] at h; simp_all
nonrec theorem exp_neg : exp (-x) = (exp x)⁻¹ :=
ofReal_injective <| by simp [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]
open IsAbsoluteValue Nat
theorem sum_le_exp_of_nonneg {x : ℝ} (hx : 0 ≤ x) (n : ℕ) : ∑ i ∈ range n, x ^ i / i ! ≤ exp x :=
calc
∑ i ∈ range n, x ^ i / i ! ≤ lim (⟨_, isCauSeq_re (exp' x)⟩ : CauSeq ℝ abs) := by
refine le_lim (CauSeq.le_of_exists ⟨n, fun j hj => ?_⟩)
simp only [exp', const_apply, re_sum]
norm_cast
refine sum_le_sum_of_subset_of_nonneg (range_mono hj) fun _ _ _ ↦ ?_
positivity
_ = exp x := by rw [exp, Complex.exp, ← cauSeqRe, lim_re]
lemma pow_div_factorial_le_exp (hx : 0 ≤ x) (n : ℕ) : x ^ n / n ! ≤ exp x :=
calc
x ^ n / n ! ≤ ∑ k ∈ range (n + 1), x ^ k / k ! :=
single_le_sum (f := fun k ↦ x ^ k / k !) (fun k _ ↦ by positivity) (self_mem_range_succ n)
_ ≤ exp x := sum_le_exp_of_nonneg hx _
theorem quadratic_le_exp_of_nonneg {x : ℝ} (hx : 0 ≤ x) : 1 + x + x ^ 2 / 2 ≤ exp x :=
calc
1 + x + x ^ 2 / 2 = ∑ i ∈ range 3, x ^ i / i ! := by
simp only [sum_range_succ, range_one, sum_singleton, _root_.pow_zero, factorial, cast_one,
ne_eq, one_ne_zero, not_false_eq_true, div_self, pow_one, mul_one, div_one, Nat.mul_one,
cast_succ, add_right_inj]
ring_nf
_ ≤ exp x := sum_le_exp_of_nonneg hx 3
private theorem add_one_lt_exp_of_pos {x : ℝ} (hx : 0 < x) : x + 1 < exp x :=
(by nlinarith : x + 1 < 1 + x + x ^ 2 / 2).trans_le (quadratic_le_exp_of_nonneg hx.le)
private theorem add_one_le_exp_of_nonneg {x : ℝ} (hx : 0 ≤ x) : x + 1 ≤ exp x := by
rcases eq_or_lt_of_le hx with (rfl | h)
· simp
exact (add_one_lt_exp_of_pos h).le
theorem one_le_exp {x : ℝ} (hx : 0 ≤ x) : 1 ≤ exp x := by linarith [add_one_le_exp_of_nonneg hx]
@[bound]
theorem exp_pos (x : ℝ) : 0 < exp x :=
(le_total 0 x).elim (lt_of_lt_of_le zero_lt_one ∘ one_le_exp) fun h => by
rw [← neg_neg x, Real.exp_neg]
exact inv_pos.2 (lt_of_lt_of_le zero_lt_one (one_le_exp (neg_nonneg.2 h)))
@[bound]
lemma exp_nonneg (x : ℝ) : 0 ≤ exp x := x.exp_pos.le
@[simp]
theorem abs_exp (x : ℝ) : |exp x| = exp x :=
abs_of_pos (exp_pos _)
lemma exp_abs_le (x : ℝ) : exp |x| ≤ exp x + exp (-x) := by
cases le_total x 0 <;> simp [abs_of_nonpos, abs_of_nonneg, exp_nonneg, *]
@[mono]
theorem exp_strictMono : StrictMono exp := fun x y h => by
rw [← sub_add_cancel y x, Real.exp_add]
exact (lt_mul_iff_one_lt_left (exp_pos _)).2
(lt_of_lt_of_le (by linarith) (add_one_le_exp_of_nonneg (by linarith)))
@[gcongr]
theorem exp_lt_exp_of_lt {x y : ℝ} (h : x < y) : exp x < exp y := exp_strictMono h
@[mono]
theorem exp_monotone : Monotone exp :=
exp_strictMono.monotone
@[gcongr, bound]
theorem exp_le_exp_of_le {x y : ℝ} (h : x ≤ y) : exp x ≤ exp y := exp_monotone h
@[simp]
theorem exp_lt_exp {x y : ℝ} : exp x < exp y ↔ x < y :=
exp_strictMono.lt_iff_lt
@[simp]
theorem exp_le_exp {x y : ℝ} : exp x ≤ exp y ↔ x ≤ y :=
exp_strictMono.le_iff_le
theorem exp_injective : Function.Injective exp :=
exp_strictMono.injective
@[simp]
theorem exp_eq_exp {x y : ℝ} : exp x = exp y ↔ x = y :=
exp_injective.eq_iff
@[simp]
theorem exp_eq_one_iff : exp x = 1 ↔ x = 0 :=
exp_injective.eq_iff' exp_zero
@[simp]
theorem one_lt_exp_iff {x : ℝ} : 1 < exp x ↔ 0 < x := by rw [← exp_zero, exp_lt_exp]
@[bound] private alias ⟨_, Bound.one_lt_exp_of_pos⟩ := one_lt_exp_iff
@[simp]
theorem exp_lt_one_iff {x : ℝ} : exp x < 1 ↔ x < 0 := by rw [← exp_zero, exp_lt_exp]
@[simp]
theorem exp_le_one_iff {x : ℝ} : exp x ≤ 1 ↔ x ≤ 0 :=
exp_zero ▸ exp_le_exp
@[simp]
theorem one_le_exp_iff {x : ℝ} : 1 ≤ exp x ↔ 0 ≤ x :=
exp_zero ▸ exp_le_exp
end Real
namespace Complex
theorem sum_div_factorial_le {α : Type*} [Field α] [LinearOrder α] [IsStrictOrderedRing α]
(n j : ℕ) (hn : 0 < n) :
(∑ m ∈ range j with n ≤ m, (1 / m.factorial : α)) ≤ n.succ / (n.factorial * n) :=
calc
(∑ m ∈ range j with n ≤ m, (1 / m.factorial : α)) =
∑ m ∈ range (j - n), (1 / ((m + n).factorial : α)) := by
refine sum_nbij' (· - n) (· + n) ?_ ?_ ?_ ?_ ?_ <;>
simp +contextual [lt_tsub_iff_right, tsub_add_cancel_of_le]
_ ≤ ∑ m ∈ range (j - n), ((n.factorial : α) * (n.succ : α) ^ m)⁻¹ := by
simp_rw [one_div]
gcongr
rw [← Nat.cast_pow, ← Nat.cast_mul, Nat.cast_le, add_comm]
exact Nat.factorial_mul_pow_le_factorial
_ = (n.factorial : α)⁻¹ * ∑ m ∈ range (j - n), (n.succ : α)⁻¹ ^ m := by
simp [mul_inv, ← mul_sum, ← sum_mul, mul_comm, inv_pow]
_ = ((n.succ : α) - n.succ * (n.succ : α)⁻¹ ^ (j - n)) / (n.factorial * n) := by
have h₁ : (n.succ : α) ≠ 1 :=
@Nat.cast_one α _ ▸ mt Nat.cast_inj.1 (mt Nat.succ.inj (pos_iff_ne_zero.1 hn))
have h₂ : (n.succ : α) ≠ 0 := by positivity
have h₃ : (n.factorial * n : α) ≠ 0 := by positivity
have h₄ : (n.succ - 1 : α) = n := by simp
rw [geom_sum_inv h₁ h₂, eq_div_iff_mul_eq h₃, mul_comm _ (n.factorial * n : α),
← mul_assoc (n.factorial⁻¹ : α), ← mul_inv_rev, h₄, ← mul_assoc (n.factorial * n : α),
mul_comm (n : α) n.factorial, mul_inv_cancel₀ h₃, one_mul, mul_comm]
_ ≤ n.succ / (n.factorial * n : α) := by gcongr; apply sub_le_self; positivity
theorem exp_bound {x : ℂ} (hx : ‖x‖ ≤ 1) {n : ℕ} (hn : 0 < n) :
‖exp x - ∑ m ∈ range n, x ^ m / m.factorial‖ ≤
‖x‖ ^ n * ((n.succ : ℝ) * (n.factorial * n : ℝ)⁻¹) := by
rw [← lim_const (abv := norm) (∑ m ∈ range n, _), exp, sub_eq_add_neg,
← lim_neg, lim_add, ← lim_norm]
refine lim_le (CauSeq.le_of_exists ⟨n, fun j hj => ?_⟩)
simp_rw [← sub_eq_add_neg]
show
‖(∑ m ∈ range j, x ^ m / m.factorial) - ∑ m ∈ range n, x ^ m / m.factorial‖ ≤
‖x‖ ^ n * ((n.succ : ℝ) * (n.factorial * n : ℝ)⁻¹)
rw [sum_range_sub_sum_range hj]
calc
‖∑ m ∈ range j with n ≤ m, (x ^ m / m.factorial : ℂ)‖
= ‖∑ m ∈ range j with n ≤ m, (x ^ n * (x ^ (m - n) / m.factorial) : ℂ)‖ := by
refine congr_arg norm (sum_congr rfl fun m hm => ?_)
rw [mem_filter, mem_range] at hm
rw [← mul_div_assoc, ← pow_add, add_tsub_cancel_of_le hm.2]
_ ≤ ∑ m ∈ range j with n ≤ m, ‖x ^ n * (x ^ (m - n) / m.factorial)‖ :=
IsAbsoluteValue.abv_sum norm ..
_ ≤ ∑ m ∈ range j with n ≤ m, ‖x‖ ^ n * (1 / m.factorial) := by
simp_rw [Complex.norm_mul, Complex.norm_pow, Complex.norm_div, norm_natCast]
gcongr
rw [Complex.norm_pow]
exact pow_le_one₀ (norm_nonneg _) hx
_ = ‖x‖ ^ n * ∑ m ∈ range j with n ≤ m, (1 / m.factorial : ℝ) := by
simp [abs_mul, abv_pow abs, abs_div, ← mul_sum]
_ ≤ ‖x‖ ^ n * (n.succ * (n.factorial * n : ℝ)⁻¹) := by
gcongr
exact sum_div_factorial_le _ _ hn
theorem exp_bound' {x : ℂ} {n : ℕ} (hx : ‖x‖ / n.succ ≤ 1 / 2) :
‖exp x - ∑ m ∈ range n, x ^ m / m.factorial‖ ≤ ‖x‖ ^ n / n.factorial * 2 := by
rw [← lim_const (abv := norm) (∑ m ∈ range n, _),
exp, sub_eq_add_neg, ← lim_neg, lim_add, ← lim_norm]
refine lim_le (CauSeq.le_of_exists ⟨n, fun j hj => ?_⟩)
simp_rw [← sub_eq_add_neg]
show ‖(∑ m ∈ range j, x ^ m / m.factorial) - ∑ m ∈ range n, x ^ m / m.factorial‖ ≤
‖x‖ ^ n / n.factorial * 2
let k := j - n
have hj : j = n + k := (add_tsub_cancel_of_le hj).symm
rw [hj, sum_range_add_sub_sum_range]
calc
‖∑ i ∈ range k, x ^ (n + i) / ((n + i).factorial : ℂ)‖ ≤
∑ i ∈ range k, ‖x ^ (n + i) / ((n + i).factorial : ℂ)‖ :=
IsAbsoluteValue.abv_sum _ _ _
_ ≤ ∑ i ∈ range k, ‖x‖ ^ (n + i) / (n + i).factorial := by
simp [norm_natCast, Complex.norm_pow]
_ ≤ ∑ i ∈ range k, ‖x‖ ^ (n + i) / ((n.factorial : ℝ) * (n.succ : ℝ) ^ i) := ?_
_ = ∑ i ∈ range k, ‖x‖ ^ n / n.factorial * (‖x‖ ^ i / (n.succ : ℝ) ^ i) := ?_
_ ≤ ‖x‖ ^ n / ↑n.factorial * 2 := ?_
· gcongr
exact mod_cast Nat.factorial_mul_pow_le_factorial
· refine Finset.sum_congr rfl fun _ _ => ?_
simp only [pow_add, div_eq_inv_mul, mul_inv, mul_left_comm, mul_assoc]
· rw [← mul_sum]
gcongr
simp_rw [← div_pow]
rw [geom_sum_eq, div_le_iff_of_neg]
· trans (-1 : ℝ)
· linarith
· simp only [neg_le_sub_iff_le_add, div_pow, Nat.cast_succ, le_add_iff_nonneg_left]
positivity
· linarith
· linarith
theorem norm_exp_sub_one_le {x : ℂ} (hx : ‖x‖ ≤ 1) : ‖exp x - 1‖ ≤ 2 * ‖x‖ :=
calc
‖exp x - 1‖ = ‖exp x - ∑ m ∈ range 1, x ^ m / m.factorial‖ := by simp [sum_range_succ]
_ ≤ ‖x‖ ^ 1 * ((Nat.succ 1 : ℝ) * ((Nat.factorial 1) * (1 : ℕ) : ℝ)⁻¹) :=
(exp_bound hx (by decide))
_ = 2 * ‖x‖ := by simp [two_mul, mul_two, mul_add, mul_comm, add_mul, Nat.factorial]
theorem norm_exp_sub_one_sub_id_le {x : ℂ} (hx : ‖x‖ ≤ 1) : ‖exp x - 1 - x‖ ≤ ‖x‖ ^ 2 :=
calc
‖exp x - 1 - x‖ = ‖exp x - ∑ m ∈ range 2, x ^ m / m.factorial‖ := by
simp [sub_eq_add_neg, sum_range_succ_comm, add_assoc, Nat.factorial]
_ ≤ ‖x‖ ^ 2 * ((Nat.succ 2 : ℝ) * (Nat.factorial 2 * (2 : ℕ) : ℝ)⁻¹) :=
(exp_bound hx (by decide))
_ ≤ ‖x‖ ^ 2 * 1 := by gcongr; norm_num [Nat.factorial]
_ = ‖x‖ ^ 2 := by rw [mul_one]
lemma norm_exp_sub_sum_le_exp_norm_sub_sum (x : ℂ) (n : ℕ) :
‖exp x - ∑ m ∈ range n, x ^ m / m.factorial‖
≤ Real.exp ‖x‖ - ∑ m ∈ range n, ‖x‖ ^ m / m.factorial := by
rw [← CauSeq.lim_const (abv := norm) (∑ m ∈ range n, _), Complex.exp, sub_eq_add_neg,
← CauSeq.lim_neg, CauSeq.lim_add, ← lim_norm]
refine CauSeq.lim_le (CauSeq.le_of_exists ⟨n, fun j hj => ?_⟩)
simp_rw [← sub_eq_add_neg]
calc ‖(∑ m ∈ range j, x ^ m / m.factorial) - ∑ m ∈ range n, x ^ m / m.factorial‖
_ ≤ (∑ m ∈ range j, ‖x‖ ^ m / m.factorial) - ∑ m ∈ range n, ‖x‖ ^ m / m.factorial := by
rw [sum_range_sub_sum_range hj, sum_range_sub_sum_range hj]
refine (IsAbsoluteValue.abv_sum norm ..).trans_eq ?_
congr with i
simp [Complex.norm_pow]
_ ≤ Real.exp ‖x‖ - ∑ m ∈ range n, ‖x‖ ^ m / m.factorial := by
gcongr
exact Real.sum_le_exp_of_nonneg (norm_nonneg _) _
lemma norm_exp_le_exp_norm (x : ℂ) : ‖exp x‖ ≤ Real.exp ‖x‖ := by
convert norm_exp_sub_sum_le_exp_norm_sub_sum x 0 using 1 <;> simp
lemma norm_exp_sub_sum_le_norm_mul_exp (x : ℂ) (n : ℕ) :
‖exp x - ∑ m ∈ range n, x ^ m / m.factorial‖ ≤ ‖x‖ ^ n * Real.exp ‖x‖ := by
rw [← CauSeq.lim_const (abv := norm) (∑ m ∈ range n, _), Complex.exp, sub_eq_add_neg,
← CauSeq.lim_neg, CauSeq.lim_add, ← lim_norm]
refine CauSeq.lim_le (CauSeq.le_of_exists ⟨n, fun j hj => ?_⟩)
simp_rw [← sub_eq_add_neg]
show ‖(∑ m ∈ range j, x ^ m / m.factorial) - ∑ m ∈ range n, x ^ m / m.factorial‖ ≤ _
rw [sum_range_sub_sum_range hj]
calc
‖∑ m ∈ range j with n ≤ m, (x ^ m / m.factorial : ℂ)‖
= ‖∑ m ∈ range j with n ≤ m, (x ^ n * (x ^ (m - n) / m.factorial) : ℂ)‖ := by
refine congr_arg norm (sum_congr rfl fun m hm => ?_)
rw [mem_filter, mem_range] at hm
rw [← mul_div_assoc, ← pow_add, add_tsub_cancel_of_le hm.2]
_ ≤ ∑ m ∈ range j with n ≤ m, ‖x ^ n * (x ^ (m - n) / m.factorial)‖ :=
IsAbsoluteValue.abv_sum norm ..
_ ≤ ∑ m ∈ range j with n ≤ m, ‖x‖ ^ n * (‖x‖ ^ (m - n) / (m - n).factorial) := by
simp_rw [Complex.norm_mul, Complex.norm_pow, Complex.norm_div, norm_natCast]
gcongr with i hi
· rw [Complex.norm_pow]
· simp
_ = ‖x‖ ^ n * ∑ m ∈ range j with n ≤ m, (‖x‖ ^ (m - n) / (m - n).factorial) := by
rw [← mul_sum]
_ = ‖x‖ ^ n * ∑ m ∈ range (j - n), (‖x‖ ^ m / m.factorial) := by
congr 1
refine (sum_bij (fun m hm ↦ m + n) ?_ ?_ ?_ ?_).symm
· intro a ha
simp only [mem_filter, mem_range, le_add_iff_nonneg_left, zero_le, and_true]
simp only [mem_range] at ha
rwa [← lt_tsub_iff_right]
· intro a ha b hb hab
simpa using hab
· intro b hb
simp only [mem_range, exists_prop]
simp only [mem_filter, mem_range] at hb
refine ⟨b - n, ?_, ?_⟩
· rw [tsub_lt_tsub_iff_right hb.2]
exact hb.1
· rw [tsub_add_cancel_of_le hb.2]
· simp
_ ≤ ‖x‖ ^ n * Real.exp ‖x‖ := by
gcongr
refine Real.sum_le_exp_of_nonneg ?_ _
exact norm_nonneg _
@[deprecated (since := "2025-02-16")] alias abs_exp_sub_one_le := norm_exp_sub_one_le
@[deprecated (since := "2025-02-16")] alias abs_exp_sub_one_sub_id_le := norm_exp_sub_one_sub_id_le
@[deprecated (since := "2025-02-16")] alias abs_exp_sub_sum_le_exp_abs_sub_sum :=
norm_exp_sub_sum_le_exp_norm_sub_sum
@[deprecated (since := "2025-02-16")] alias abs_exp_le_exp_abs := norm_exp_le_exp_norm
@[deprecated (since := "2025-02-16")] alias abs_exp_sub_sum_le_abs_mul_exp :=
norm_exp_sub_sum_le_norm_mul_exp
end Complex
namespace Real
open Complex Finset
nonrec theorem exp_bound {x : ℝ} (hx : |x| ≤ 1) {n : ℕ} (hn : 0 < n) :
|exp x - ∑ m ∈ range n, x ^ m / m.factorial| ≤ |x| ^ n * (n.succ / (n.factorial * n)) := by
have hxc : ‖(x : ℂ)‖ ≤ 1 := mod_cast hx
convert exp_bound hxc hn using 2 <;>
norm_cast
theorem exp_bound' {x : ℝ} (h1 : 0 ≤ x) (h2 : x ≤ 1) {n : ℕ} (hn : 0 < n) :
Real.exp x ≤ (∑ m ∈ Finset.range n, x ^ m / m.factorial) +
x ^ n * (n + 1) / (n.factorial * n) := by
have h3 : |x| = x := by simpa
have h4 : |x| ≤ 1 := by rwa [h3]
have h' := Real.exp_bound h4 hn
rw [h3] at h'
have h'' := (abs_sub_le_iff.1 h').1
have t := sub_le_iff_le_add'.1 h''
simpa [mul_div_assoc] using t
theorem abs_exp_sub_one_le {x : ℝ} (hx : |x| ≤ 1) : |exp x - 1| ≤ 2 * |x| := by
have : ‖(x : ℂ)‖ ≤ 1 := mod_cast hx
exact_mod_cast Complex.norm_exp_sub_one_le (x := x) this
theorem abs_exp_sub_one_sub_id_le {x : ℝ} (hx : |x| ≤ 1) : |exp x - 1 - x| ≤ x ^ 2 := by
rw [← sq_abs]
have : ‖(x : ℂ)‖ ≤ 1 := mod_cast hx
exact_mod_cast Complex.norm_exp_sub_one_sub_id_le this
/-- A finite initial segment of the exponential series, followed by an arbitrary tail.
For fixed `n` this is just a linear map wrt `r`, and each map is a simple linear function
of the previous (see `expNear_succ`), with `expNear n x r ⟶ exp x` as `n ⟶ ∞`,
for any `r`. -/
noncomputable def expNear (n : ℕ) (x r : ℝ) : ℝ :=
(∑ m ∈ range n, x ^ m / m.factorial) + x ^ n / n.factorial * r
@[simp]
theorem expNear_zero (x r) : expNear 0 x r = r := by simp [expNear]
@[simp]
theorem expNear_succ (n x r) : expNear (n + 1) x r = expNear n x (1 + x / (n + 1) * r) := by
simp [expNear, range_succ, mul_add, add_left_comm, add_assoc, pow_succ, div_eq_mul_inv,
mul_inv, Nat.factorial]
ac_rfl
theorem expNear_sub (n x r₁ r₂) : expNear n x r₁ -
expNear n x r₂ = x ^ n / n.factorial * (r₁ - r₂) := by
simp [expNear, mul_sub]
theorem exp_approx_end (n m : ℕ) (x : ℝ) (e₁ : n + 1 = m) (h : |x| ≤ 1) :
|exp x - expNear m x 0| ≤ |x| ^ m / m.factorial * ((m + 1) / m) := by
simp only [expNear, mul_zero, add_zero]
convert exp_bound (n := m) h ?_ using 1
· field_simp [mul_comm]
· omega
theorem exp_approx_succ {n} {x a₁ b₁ : ℝ} (m : ℕ) (e₁ : n + 1 = m) (a₂ b₂ : ℝ)
(e : |1 + x / m * a₂ - a₁| ≤ b₁ - |x| / m * b₂)
(h : |exp x - expNear m x a₂| ≤ |x| ^ m / m.factorial * b₂) :
|exp x - expNear n x a₁| ≤ |x| ^ n / n.factorial * b₁ := by
refine (abs_sub_le _ _ _).trans ((add_le_add_right h _).trans ?_)
subst e₁; rw [expNear_succ, expNear_sub, abs_mul]
convert mul_le_mul_of_nonneg_left (a := |x| ^ n / ↑(Nat.factorial n))
(le_sub_iff_add_le'.1 e) ?_ using 1
· simp [mul_add, pow_succ', div_eq_mul_inv, abs_mul, abs_inv, ← pow_abs, mul_inv, Nat.factorial]
ac_rfl
· simp [div_nonneg, abs_nonneg]
theorem exp_approx_end' {n} {x a b : ℝ} (m : ℕ) (e₁ : n + 1 = m) (rm : ℝ) (er : ↑m = rm)
(h : |x| ≤ 1) (e : |1 - a| ≤ b - |x| / rm * ((rm + 1) / rm)) :
|exp x - expNear n x a| ≤ |x| ^ n / n.factorial * b := by
subst er
exact exp_approx_succ _ e₁ _ _ (by simpa using e) (exp_approx_end _ _ _ e₁ h)
theorem exp_1_approx_succ_eq {n} {a₁ b₁ : ℝ} {m : ℕ} (en : n + 1 = m) {rm : ℝ} (er : ↑m = rm)
(h : |exp 1 - expNear m 1 ((a₁ - 1) * rm)| ≤ |1| ^ m / m.factorial * (b₁ * rm)) :
|exp 1 - expNear n 1 a₁| ≤ |1| ^ n / n.factorial * b₁ := by
subst er
refine exp_approx_succ _ en _ _ ?_ h
field_simp [show (m : ℝ) ≠ 0 by norm_cast; omega]
theorem exp_approx_start (x a b : ℝ) (h : |exp x - expNear 0 x a| ≤ |x| ^ 0 / Nat.factorial 0 * b) :
|exp x - a| ≤ b := by simpa using h
theorem exp_bound_div_one_sub_of_interval' {x : ℝ} (h1 : 0 < x) (h2 : x < 1) :
Real.exp x < 1 / (1 - x) := by
have H : 0 < 1 - (1 + x + x ^ 2) * (1 - x) := calc
0 < x ^ 3 := by positivity
_ = 1 - (1 + x + x ^ 2) * (1 - x) := by ring
calc
exp x ≤ _ := exp_bound' h1.le h2.le zero_lt_three
_ ≤ 1 + x + x ^ 2 := by
-- Porting note: was `norm_num [Finset.sum] <;> nlinarith`
-- This proof should be restored after the norm_num plugin for big operators is ported.
-- (It may also need the positivity extensions in https://github.com/leanprover-community/mathlib4/pull/3907.)
rw [show 3 = 1 + 1 + 1 from rfl]
repeat rw [Finset.sum_range_succ]
norm_num [Nat.factorial]
nlinarith
_ < 1 / (1 - x) := by rw [lt_div_iff₀] <;> nlinarith
theorem exp_bound_div_one_sub_of_interval {x : ℝ} (h1 : 0 ≤ x) (h2 : x < 1) :
Real.exp x ≤ 1 / (1 - x) := by
rcases eq_or_lt_of_le h1 with (rfl | h1)
· simp
· exact (exp_bound_div_one_sub_of_interval' h1 h2).le
theorem add_one_lt_exp {x : ℝ} (hx : x ≠ 0) : x + 1 < Real.exp x := by
obtain hx | hx := hx.symm.lt_or_lt
· exact add_one_lt_exp_of_pos hx
obtain h' | h' := le_or_lt 1 (-x)
· linarith [x.exp_pos]
have hx' : 0 < x + 1 := by linarith
simpa [add_comm, exp_neg, inv_lt_inv₀ (exp_pos _) hx']
using exp_bound_div_one_sub_of_interval' (neg_pos.2 hx) h'
theorem add_one_le_exp (x : ℝ) : x + 1 ≤ Real.exp x := by
obtain rfl | hx := eq_or_ne x 0
· simp
· exact (add_one_lt_exp hx).le
lemma one_sub_lt_exp_neg {x : ℝ} (hx : x ≠ 0) : 1 - x < exp (-x) :=
(sub_eq_neg_add _ _).trans_lt <| add_one_lt_exp <| neg_ne_zero.2 hx
lemma one_sub_le_exp_neg (x : ℝ) : 1 - x ≤ exp (-x) :=
(sub_eq_neg_add _ _).trans_le <| add_one_le_exp _
theorem one_sub_div_pow_le_exp_neg {n : ℕ} {t : ℝ} (ht' : t ≤ n) : (1 - t / n) ^ n ≤ exp (-t) := by
rcases eq_or_ne n 0 with (rfl | hn)
· simp
rwa [Nat.cast_zero] at ht'
calc
(1 - t / n) ^ n ≤ rexp (-(t / n)) ^ n := by
gcongr
· exact sub_nonneg.2 <| div_le_one_of_le₀ ht' n.cast_nonneg
· exact one_sub_le_exp_neg _
_ = rexp (-t) := by rw [← Real.exp_nat_mul, mul_neg, mul_comm, div_mul_cancel₀]; positivity
lemma le_inv_mul_exp (x : ℝ) {c : ℝ} (hc : 0 < c) : x ≤ c⁻¹ * exp (c * x) := by
rw [le_inv_mul_iff₀ hc]
calc c * x
_ ≤ c * x + 1 := le_add_of_nonneg_right zero_le_one
_ ≤ _ := Real.add_one_le_exp (c * x)
end Real
namespace Mathlib.Meta.Positivity
open Lean.Meta Qq
/-- Extension for the `positivity` tactic: `Real.exp` is always positive. -/
@[positivity Real.exp _]
def evalExp : PositivityExt where eval {u α} _ _ e := do
match u, α, e with
| 0, ~q(ℝ), ~q(Real.exp $a) =>
assertInstancesCommute
pure (.positive q(Real.exp_pos $a))
| _, _, _ => throwError "not Real.exp"
end Mathlib.Meta.Positivity
namespace Complex
@[simp]
theorem norm_exp_ofReal (x : ℝ) : ‖exp x‖ = Real.exp x := by
rw [← ofReal_exp]
exact Complex.norm_of_nonneg (le_of_lt (Real.exp_pos _))
@[deprecated (since := "2025-02-16")] alias abs_exp_ofReal := norm_exp_ofReal
end Complex
| Mathlib/Data/Complex/Exponential.lean | 780 | 781 | |
/-
Copyright (c) 2023 Chris Hughes. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Chris Hughes
-/
import Mathlib.GroupTheory.CoprodI
import Mathlib.GroupTheory.Coprod.Basic
import Mathlib.GroupTheory.Complement
/-!
## Pushouts of Monoids and Groups
This file defines wide pushouts of monoids and groups and proves some properties
of the amalgamated product of groups (i.e. the special case where all the maps
in the diagram are injective).
## Main definitions
- `Monoid.PushoutI`: the pushout of a diagram of monoids indexed by a type `ι`
- `Monoid.PushoutI.base`: the map from the amalgamating monoid to the pushout
- `Monoid.PushoutI.of`: the map from each Monoid in the family to the pushout
- `Monoid.PushoutI.lift`: the universal property used to define homomorphisms out of the pushout.
- `Monoid.PushoutI.NormalWord`: a normal form for words in the pushout
- `Monoid.PushoutI.of_injective`: if all the maps in the diagram are injective in a pushout of
groups then so is `of`
- `Monoid.PushoutI.Reduced.eq_empty_of_mem_range`: For any word `w` in the coproduct,
if `w` is reduced (i.e none its letters are in the image of the base monoid), and nonempty, then
`w` itself is not in the image of the base monoid.
## References
* The normal form theorem follows these [notes](https://webspace.maths.qmul.ac.uk/i.m.chiswell/ggt/lecture_notes/lecture2.pdf)
from Queen Mary University
## Tags
amalgamated product, pushout, group
-/
namespace Monoid
open CoprodI Subgroup Coprod Function List
variable {ι : Type*} {G : ι → Type*} {H : Type*} {K : Type*} [Monoid K]
/-- The relation we quotient by to form the pushout -/
def PushoutI.con [∀ i, Monoid (G i)] [Monoid H] (φ : ∀ i, H →* G i) :
Con (Coprod (CoprodI G) H) :=
conGen (fun x y : Coprod (CoprodI G) H =>
∃ i x', x = inl (of (φ i x')) ∧ y = inr x')
/-- The indexed pushout of monoids, which is the pushout in the category of monoids,
or the category of groups. -/
def PushoutI [∀ i, Monoid (G i)] [Monoid H] (φ : ∀ i, H →* G i) : Type _ :=
(PushoutI.con φ).Quotient
namespace PushoutI
section Monoid
variable [∀ i, Monoid (G i)] [Monoid H] {φ : ∀ i, H →* G i}
protected instance mul : Mul (PushoutI φ) := by
delta PushoutI; infer_instance
protected instance one : One (PushoutI φ) := by
delta PushoutI; infer_instance
instance monoid : Monoid (PushoutI φ) :=
{ Con.monoid _ with
toMul := PushoutI.mul
toOne := PushoutI.one }
/-- The map from each indexing group into the pushout -/
def of (i : ι) : G i →* PushoutI φ :=
(Con.mk' _).comp <| inl.comp CoprodI.of
variable (φ) in
/-- The map from the base monoid into the pushout -/
def base : H →* PushoutI φ :=
(Con.mk' _).comp inr
theorem of_comp_eq_base (i : ι) : (of i).comp (φ i) = (base φ) := by
ext x
apply (Con.eq _).2
refine ConGen.Rel.of _ _ ?_
simp only [MonoidHom.comp_apply, Set.mem_iUnion, Set.mem_range]
exact ⟨_, _, rfl, rfl⟩
variable (φ) in
theorem of_apply_eq_base (i : ι) (x : H) : of i (φ i x) = base φ x := by
rw [← MonoidHom.comp_apply, of_comp_eq_base]
/-- Define a homomorphism out of the pushout of monoids be defining it on each object in the
diagram -/
def lift (f : ∀ i, G i →* K) (k : H →* K)
(hf : ∀ i, (f i).comp (φ i) = k) :
PushoutI φ →* K :=
Con.lift _ (Coprod.lift (CoprodI.lift f) k) <| by
apply Con.conGen_le fun x y => ?_
rintro ⟨i, x', rfl, rfl⟩
simp only [DFunLike.ext_iff, MonoidHom.coe_comp, comp_apply] at hf
simp [hf]
@[simp]
theorem lift_of (f : ∀ i, G i →* K) (k : H →* K)
(hf : ∀ i, (f i).comp (φ i) = k)
{i : ι} (g : G i) : (lift f k hf) (of i g : PushoutI φ) = f i g := by
delta PushoutI lift of
simp only [MonoidHom.coe_comp, Con.coe_mk', comp_apply, Con.lift_coe,
lift_apply_inl, CoprodI.lift_of]
@[simp]
theorem lift_base (f : ∀ i, G i →* K) (k : H →* K)
(hf : ∀ i, (f i).comp (φ i) = k)
(g : H) : (lift f k hf) (base φ g : PushoutI φ) = k g := by
delta PushoutI lift base
simp only [MonoidHom.coe_comp, Con.coe_mk', comp_apply, Con.lift_coe, lift_apply_inr]
-- `ext` attribute should be lower priority then `hom_ext_nonempty`
@[ext 1199]
theorem hom_ext {f g : PushoutI φ →* K}
(h : ∀ i, f.comp (of i : G i →* _) = g.comp (of i : G i →* _))
(hbase : f.comp (base φ) = g.comp (base φ)) : f = g :=
(MonoidHom.cancel_right Con.mk'_surjective).mp <|
Coprod.hom_ext
(CoprodI.ext_hom _ _ h)
hbase
@[ext high]
theorem hom_ext_nonempty [hn : Nonempty ι]
| {f g : PushoutI φ →* K}
(h : ∀ i, f.comp (of i : G i →* _) = g.comp (of i : G i →* _)) : f = g :=
hom_ext h <| by
cases hn with
| intro i =>
ext
rw [← of_comp_eq_base i, ← MonoidHom.comp_assoc, h, MonoidHom.comp_assoc]
| Mathlib/GroupTheory/PushoutI.lean | 136 | 143 |
/-
Copyright (c) 2023 Yaël Dillies, Vladimir Ivanov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yaël Dillies, Vladimir Ivanov
-/
import Mathlib.Algebra.BigOperators.Intervals
import Mathlib.Algebra.BigOperators.Ring.Finset
import Mathlib.Algebra.Order.BigOperators.Group.Finset
import Mathlib.Algebra.Order.Field.Basic
import Mathlib.Data.Finset.Sups
import Mathlib.Tactic.FieldSimp
import Mathlib.Tactic.Ring
import Mathlib.Algebra.BigOperators.Group.Finset.Powerset
/-!
# The Ahlswede-Zhang identity
This file proves the Ahlswede-Zhang identity, which is a nontrivial relation between the size of the
"truncated unions" of a set family. It sharpens the Lubell-Yamamoto-Meshalkin inequality
`Finset.lubell_yamamoto_meshalkin_inequality_sum_card_div_choose`, by making explicit the correction
term.
For a set family `𝒜` over a ground set of size `n`, the Ahlswede-Zhang identity states that the sum
of `|⋂ B ∈ 𝒜, B ⊆ A, B|/(|A| * n.choose |A|)` over all set `A` is exactly `1`. This implies the LYM
inequality since for an antichain `𝒜` and every `A ∈ 𝒜` we have
`|⋂ B ∈ 𝒜, B ⊆ A, B|/(|A| * n.choose |A|) = 1 / n.choose |A|`.
## Main declarations
* `Finset.truncatedSup`: `s.truncatedSup a` is the supremum of all `b ≥ a` in `𝒜` if there are
some, or `⊤` if there are none.
* `Finset.truncatedInf`: `s.truncatedInf a` is the infimum of all `b ≤ a` in `𝒜` if there are
some, or `⊥` if there are none.
* `AhlswedeZhang.infSum`: LHS of the Ahlswede-Zhang identity.
* `AhlswedeZhang.le_infSum`: The sum of `1 / n.choose |A|` over an antichain is less than the RHS of
the Ahlswede-Zhang identity.
* `AhlswedeZhang.infSum_eq_one`: Ahlswede-Zhang identity.
## References
* [R. Ahlswede, Z. Zhang, *An identity in combinatorial extremal theory*](https://doi.org/10.1016/0001-8708(90)90023-G)
* [D. T. Tru, *An AZ-style identity and Bollobás deficiency*](https://doi.org/10.1016/j.jcta.2007.03.005)
-/
section
variable (α : Type*) [Fintype α] [Nonempty α] {m n : ℕ}
open Finset Fintype Nat
private lemma binomial_sum_eq (h : n < m) :
∑ i ∈ range (n + 1), (n.choose i * (m - n) / ((m - i) * m.choose i) : ℚ) = 1 := by
set f : ℕ → ℚ := fun i ↦ n.choose i * (m.choose i : ℚ)⁻¹ with hf
suffices ∀ i ∈ range (n + 1), f i - f (i + 1) = n.choose i * (m - n) / ((m - i) * m.choose i) by
rw [← sum_congr rfl this, sum_range_sub', hf]
simp [choose_self, choose_zero_right, choose_eq_zero_of_lt h]
intro i h₁
rw [mem_range] at h₁
have h₁ := le_of_lt_succ h₁
have h₂ := h₁.trans_lt h
have h₃ := h₂.le
have hi₄ : (i + 1 : ℚ) ≠ 0 := i.cast_add_one_ne_zero
have := congr_arg ((↑) : ℕ → ℚ) (choose_succ_right_eq m i)
push_cast at this
dsimp [f, hf]
rw [(eq_mul_inv_iff_mul_eq₀ hi₄).mpr this]
have := congr_arg ((↑) : ℕ → ℚ) (choose_succ_right_eq n i)
push_cast at this
rw [(eq_mul_inv_iff_mul_eq₀ hi₄).mpr this]
have : (m - i : ℚ) ≠ 0 := sub_ne_zero_of_ne (cast_lt.mpr h₂).ne'
have : (m.choose i : ℚ) ≠ 0 := cast_ne_zero.2 (choose_pos h₂.le).ne'
field_simp
ring
private lemma Fintype.sum_div_mul_card_choose_card :
∑ s : Finset α, (card α / ((card α - #s) * (card α).choose #s) : ℚ) =
card α * ∑ k ∈ range (card α), (↑k)⁻¹ + 1 := by
rw [← powerset_univ, powerset_card_disjiUnion, sum_disjiUnion]
have : ∀ {x : ℕ}, ∀ s ∈ powersetCard x (univ : Finset α),
(card α / ((card α - #s) * (card α).choose #s) : ℚ) =
card α / ((card α - x) * (card α).choose x) := by
intros n s hs
rw [mem_powersetCard_univ.1 hs]
simp_rw [sum_congr rfl this, sum_const, card_powersetCard, card_univ, nsmul_eq_mul, mul_div,
mul_comm, ← mul_div]
rw [← mul_sum, ← mul_inv_cancel₀ (cast_ne_zero.mpr card_ne_zero : (card α : ℚ) ≠ 0), ← mul_add,
add_comm _ ((card α)⁻¹ : ℚ), ← sum_insert (f := fun x : ℕ ↦ (x⁻¹ : ℚ)) not_mem_range_self,
← range_succ]
have (n) (hn : n ∈ range (card α + 1)) :
((card α).choose n / ((card α - n) * (card α).choose n) : ℚ) = (card α - n : ℚ)⁻¹ := by
rw [div_mul_cancel_right₀]
exact cast_ne_zero.2 (choose_pos <| mem_range_succ_iff.1 hn).ne'
simp only [sum_congr rfl this, mul_eq_mul_left_iff, cast_eq_zero]
convert Or.inl <| sum_range_reflect _ _ with a ha
rw [add_tsub_cancel_right, cast_sub (mem_range_succ_iff.mp ha)]
end
open scoped FinsetFamily
namespace Finset
variable {α β : Type*}
/-! ### Truncated supremum, truncated infimum -/
section SemilatticeSup
variable [SemilatticeSup α] [SemilatticeSup β] [BoundedOrder β] {s t : Finset α} {a : α}
private lemma sup_aux [DecidableLE α] : a ∈ lowerClosure s → {b ∈ s | a ≤ b}.Nonempty :=
fun ⟨b, hb, hab⟩ ↦ ⟨b, mem_filter.2 ⟨hb, hab⟩⟩
private lemma lower_aux [DecidableEq α] :
a ∈ lowerClosure ↑(s ∪ t) ↔ a ∈ lowerClosure s ∨ a ∈ lowerClosure t := by
rw [coe_union, lowerClosure_union, LowerSet.mem_sup_iff]
variable [DecidableLE α] [OrderTop α]
/-- The supremum of the elements of `s` less than `a` if there are some, otherwise `⊤`. -/
def truncatedSup (s : Finset α) (a : α) : α :=
if h : a ∈ lowerClosure s then {b ∈ s | a ≤ b}.sup' (sup_aux h) id else ⊤
lemma truncatedSup_of_mem (h : a ∈ lowerClosure s) :
truncatedSup s a = {b ∈ s | a ≤ b}.sup' (sup_aux h) id := dif_pos h
lemma truncatedSup_of_not_mem (h : a ∉ lowerClosure s) : truncatedSup s a = ⊤ := dif_neg h
@[simp] lemma truncatedSup_empty (a : α) : truncatedSup ∅ a = ⊤ := truncatedSup_of_not_mem (by simp)
@[simp] lemma truncatedSup_singleton (b a : α) : truncatedSup {b} a = if a ≤ b then b else ⊤ := by
simp [truncatedSup]; split_ifs <;> simp [Finset.filter_true_of_mem, *]
lemma le_truncatedSup : a ≤ truncatedSup s a := by
rw [truncatedSup]
split_ifs with h
· obtain ⟨ℬ, hb, h⟩ := h
exact h.trans <| le_sup' id <| mem_filter.2 ⟨hb, h⟩
· exact le_top
lemma map_truncatedSup [DecidableLE β] (e : α ≃o β) (s : Finset α) (a : α) :
e (truncatedSup s a) = truncatedSup (s.map e.toEquiv.toEmbedding) (e a) := by
have : e a ∈ lowerClosure (s.map e.toEquiv.toEmbedding : Set β) ↔ a ∈ lowerClosure s := by simp
simp_rw [truncatedSup, apply_dite e, map_finset_sup', map_top, this]
congr with h
simp only [filter_map, Function.comp_def, Equiv.coe_toEmbedding, RelIso.coe_fn_toEquiv,
OrderIso.le_iff_le, id, sup'_map]
lemma truncatedSup_of_isAntichain (hs : IsAntichain (· ≤ ·) (s : Set α)) (ha : a ∈ s) :
truncatedSup s a = a := by
refine le_antisymm ?_ le_truncatedSup
simp_rw [truncatedSup_of_mem (subset_lowerClosure ha), sup'_le_iff, mem_filter]
rintro b ⟨hb, hab⟩
exact (hs.eq ha hb hab).ge
variable [DecidableEq α]
lemma truncatedSup_union (hs : a ∈ lowerClosure s) (ht : a ∈ lowerClosure t) :
truncatedSup (s ∪ t) a = truncatedSup s a ⊔ truncatedSup t a := by
simpa only [truncatedSup_of_mem, hs, ht, lower_aux.2 (Or.inl hs), filter_union] using
sup'_union _ _ _
lemma truncatedSup_union_left (hs : a ∈ lowerClosure s) (ht : a ∉ lowerClosure t) :
truncatedSup (s ∪ t) a = truncatedSup s a := by
simp only [mem_lowerClosure, mem_coe, exists_prop, not_exists, not_and] at ht
simp only [truncatedSup_of_mem, hs, filter_union, filter_false_of_mem ht, union_empty,
lower_aux.2 (Or.inl hs), ht]
lemma truncatedSup_union_right (hs : a ∉ lowerClosure s) (ht : a ∈ lowerClosure t) :
truncatedSup (s ∪ t) a = truncatedSup t a := by rw [union_comm, truncatedSup_union_left ht hs]
lemma truncatedSup_union_of_not_mem (hs : a ∉ lowerClosure s) (ht : a ∉ lowerClosure t) :
truncatedSup (s ∪ t) a = ⊤ := truncatedSup_of_not_mem fun h ↦ (lower_aux.1 h).elim hs ht
end SemilatticeSup
section SemilatticeInf
variable [SemilatticeInf α] [SemilatticeInf β]
[BoundedOrder β] [DecidableLE β] {s t : Finset α} {a : α}
private lemma inf_aux [DecidableLE α] : a ∈ upperClosure s → {b ∈ s | b ≤ a}.Nonempty :=
fun ⟨b, hb, hab⟩ ↦ ⟨b, mem_filter.2 ⟨hb, hab⟩⟩
private lemma upper_aux [DecidableEq α] :
a ∈ upperClosure ↑(s ∪ t) ↔ a ∈ upperClosure s ∨ a ∈ upperClosure t := by
rw [coe_union, upperClosure_union, UpperSet.mem_inf_iff]
variable [DecidableLE α] [BoundedOrder α]
/-- The infimum of the elements of `s` less than `a` if there are some, otherwise `⊥`. -/
def truncatedInf (s : Finset α) (a : α) : α :=
if h : a ∈ upperClosure s then {b ∈ s | b ≤ a}.inf' (inf_aux h) id else ⊥
|
lemma truncatedInf_of_mem (h : a ∈ upperClosure s) :
truncatedInf s a = {b ∈ s | b ≤ a}.inf' (inf_aux h) id := dif_pos h
lemma truncatedInf_of_not_mem (h : a ∉ upperClosure s) : truncatedInf s a = ⊥ := dif_neg h
| Mathlib/Combinatorics/SetFamily/AhlswedeZhang.lean | 190 | 195 |
/-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Johan Commelin, Mario Carneiro
-/
import Mathlib.Algebra.MonoidAlgebra.Degree
import Mathlib.Algebra.MvPolynomial.Rename
/-!
# Degrees of polynomials
This file establishes many results about the degree of a multivariate polynomial.
The *degree set* of a polynomial $P \in R[X]$ is a `Multiset` containing, for each $x$ in the
variable set, $n$ copies of $x$, where $n$ is the maximum number of copies of $x$ appearing in a
monomial of $P$.
## Main declarations
* `MvPolynomial.degrees p` : the multiset of variables representing the union of the multisets
corresponding to each non-zero monomial in `p`.
For example if `7 ≠ 0` in `R` and `p = x²y+7y³` then `degrees p = {x, x, y, y, y}`
* `MvPolynomial.degreeOf n p : ℕ` : the total degree of `p` with respect to the variable `n`.
For example if `p = x⁴y+yz` then `degreeOf y p = 1`.
* `MvPolynomial.totalDegree p : ℕ` :
the max of the sizes of the multisets `s` whose monomials `X^s` occur in `p`.
For example if `p = x⁴y+yz` then `totalDegree p = 5`.
## Notation
As in other polynomial files, we typically use the notation:
+ `σ τ : Type*` (indexing the variables)
+ `R : Type*` `[CommSemiring R]` (the coefficients)
+ `s : σ →₀ ℕ`, a function from `σ` to `ℕ` which is zero away from a finite set.
This will give rise to a monomial in `MvPolynomial σ R` which mathematicians might call `X^s`
+ `r : R`
+ `i : σ`, with corresponding monomial `X i`, often denoted `X_i` by mathematicians
+ `p : MvPolynomial σ R`
-/
noncomputable section
open Set Function Finsupp AddMonoidAlgebra
universe u v w
variable {R : Type u} {S : Type v}
namespace MvPolynomial
variable {σ τ : Type*} {r : R} {e : ℕ} {n m : σ} {s : σ →₀ ℕ}
section CommSemiring
variable [CommSemiring R] {p q : MvPolynomial σ R}
section Degrees
/-! ### `degrees` -/
/-- The maximal degrees of each variable in a multi-variable polynomial, expressed as a multiset.
(For example, `degrees (x^2 * y + y^3)` would be `{x, x, y, y, y}`.)
-/
def degrees (p : MvPolynomial σ R) : Multiset σ :=
letI := Classical.decEq σ
p.support.sup fun s : σ →₀ ℕ => toMultiset s
theorem degrees_def [DecidableEq σ] (p : MvPolynomial σ R) :
p.degrees = p.support.sup fun s : σ →₀ ℕ => Finsupp.toMultiset s := by rw [degrees]; convert rfl
theorem degrees_monomial (s : σ →₀ ℕ) (a : R) : degrees (monomial s a) ≤ toMultiset s := by
classical
refine (supDegree_single s a).trans_le ?_
split_ifs
exacts [bot_le, le_rfl]
theorem degrees_monomial_eq (s : σ →₀ ℕ) (a : R) (ha : a ≠ 0) :
degrees (monomial s a) = toMultiset s := by
classical
exact (supDegree_single s a).trans (if_neg ha)
theorem degrees_C (a : R) : degrees (C a : MvPolynomial σ R) = 0 :=
Multiset.le_zero.1 <| degrees_monomial _ _
theorem degrees_X' (n : σ) : degrees (X n : MvPolynomial σ R) ≤ {n} :=
le_trans (degrees_monomial _ _) <| le_of_eq <| toMultiset_single _ _
@[simp]
theorem degrees_X [Nontrivial R] (n : σ) : degrees (X n : MvPolynomial σ R) = {n} :=
(degrees_monomial_eq _ (1 : R) one_ne_zero).trans (toMultiset_single _ _)
@[simp]
theorem degrees_zero : degrees (0 : MvPolynomial σ R) = 0 := by
rw [← C_0]
exact degrees_C 0
@[simp]
theorem degrees_one : degrees (1 : MvPolynomial σ R) = 0 :=
degrees_C 1
theorem degrees_add_le [DecidableEq σ] {p q : MvPolynomial σ R} :
(p + q).degrees ≤ p.degrees ⊔ q.degrees := by
simp_rw [degrees_def]; exact supDegree_add_le
theorem degrees_sum_le {ι : Type*} [DecidableEq σ] (s : Finset ι) (f : ι → MvPolynomial σ R) :
(∑ i ∈ s, f i).degrees ≤ s.sup fun i => (f i).degrees := by
simp_rw [degrees_def]; exact supDegree_sum_le
theorem degrees_mul_le {p q : MvPolynomial σ R} : (p * q).degrees ≤ p.degrees + q.degrees := by
classical
simp_rw [degrees_def]
exact supDegree_mul_le (map_add _)
theorem degrees_prod_le {ι : Type*} {s : Finset ι} {f : ι → MvPolynomial σ R} :
(∏ i ∈ s, f i).degrees ≤ ∑ i ∈ s, (f i).degrees := by
classical exact supDegree_prod_le (map_zero _) (map_add _)
theorem degrees_pow_le {p : MvPolynomial σ R} {n : ℕ} : (p ^ n).degrees ≤ n • p.degrees := by
simpa using degrees_prod_le (s := .range n) (f := fun _ ↦ p)
@[deprecated (since := "2024-12-28")] alias degrees_add := degrees_add_le
@[deprecated (since := "2024-12-28")] alias degrees_sum := degrees_sum_le
@[deprecated (since := "2024-12-28")] alias degrees_mul := degrees_mul_le
@[deprecated (since := "2024-12-28")] alias degrees_prod := degrees_prod_le
@[deprecated (since := "2024-12-28")] alias degrees_pow := degrees_pow_le
theorem mem_degrees {p : MvPolynomial σ R} {i : σ} :
i ∈ p.degrees ↔ ∃ d, p.coeff d ≠ 0 ∧ i ∈ d.support := by
classical
simp only [degrees_def, Multiset.mem_sup, ← mem_support_iff, Finsupp.mem_toMultiset, exists_prop]
theorem le_degrees_add_left (h : Disjoint p.degrees q.degrees) : p.degrees ≤ (p + q).degrees := by
classical
apply Finset.sup_le
intro d hd
rw [Multiset.disjoint_iff_ne] at h
obtain rfl | h0 := eq_or_ne d 0
· rw [toMultiset_zero]; apply Multiset.zero_le
· refine Finset.le_sup_of_le (b := d) ?_ le_rfl
rw [mem_support_iff, coeff_add]
suffices q.coeff d = 0 by rwa [this, add_zero, coeff, ← Finsupp.mem_support_iff]
rw [Ne, ← Finsupp.support_eq_empty, ← Ne, ← Finset.nonempty_iff_ne_empty] at h0
obtain ⟨j, hj⟩ := h0
contrapose! h
rw [mem_support_iff] at hd
refine ⟨j, ?_, j, ?_, rfl⟩
all_goals rw [mem_degrees]; refine ⟨d, ?_, hj⟩; assumption
@[deprecated (since := "2024-12-28")] alias le_degrees_add := le_degrees_add_left
lemma le_degrees_add_right (h : Disjoint p.degrees q.degrees) : q.degrees ≤ (p + q).degrees := by
simpa [add_comm] using le_degrees_add_left h.symm
theorem degrees_add_of_disjoint [DecidableEq σ] (h : Disjoint p.degrees q.degrees) :
(p + q).degrees = p.degrees ∪ q.degrees :=
degrees_add_le.antisymm <| Multiset.union_le (le_degrees_add_left h) (le_degrees_add_right h)
lemma degrees_map_le [CommSemiring S] {f : R →+* S} : (map f p).degrees ≤ p.degrees := by
classical exact Finset.sup_mono <| support_map_subset ..
@[deprecated (since := "2024-12-28")] alias degrees_map := degrees_map_le
theorem degrees_rename (f : σ → τ) (φ : MvPolynomial σ R) :
(rename f φ).degrees ⊆ φ.degrees.map f := by
classical
intro i
rw [mem_degrees, Multiset.mem_map]
rintro ⟨d, hd, hi⟩
obtain ⟨x, rfl, hx⟩ := coeff_rename_ne_zero _ _ _ hd
simp only [Finsupp.mapDomain, Finsupp.mem_support_iff] at hi
rw [sum_apply, Finsupp.sum] at hi
contrapose! hi
rw [Finset.sum_eq_zero]
intro j hj
simp only [exists_prop, mem_degrees] at hi
specialize hi j ⟨x, hx, hj⟩
rw [Finsupp.single_apply, if_neg hi]
theorem degrees_map_of_injective [CommSemiring S] (p : MvPolynomial σ R) {f : R →+* S}
(hf : Injective f) : (map f p).degrees = p.degrees := by
simp only [degrees, MvPolynomial.support_map_of_injective _ hf]
theorem degrees_rename_of_injective {p : MvPolynomial σ R} {f : σ → τ} (h : Function.Injective f) :
degrees (rename f p) = (degrees p).map f := by
classical
simp only [degrees, Multiset.map_finset_sup p.support Finsupp.toMultiset f h,
support_rename_of_injective h, Finset.sup_image]
refine Finset.sup_congr rfl fun x _ => ?_
exact (Finsupp.toMultiset_map _ _).symm
end Degrees
section DegreeOf
/-! ### `degreeOf` -/
/-- `degreeOf n p` gives the highest power of X_n that appears in `p` -/
def degreeOf (n : σ) (p : MvPolynomial σ R) : ℕ :=
letI := Classical.decEq σ
p.degrees.count n
theorem degreeOf_def [DecidableEq σ] (n : σ) (p : MvPolynomial σ R) :
p.degreeOf n = p.degrees.count n := by rw [degreeOf]; convert rfl
theorem degreeOf_eq_sup (n : σ) (f : MvPolynomial σ R) :
degreeOf n f = f.support.sup fun m => m n := by
classical
rw [degreeOf_def, degrees, Multiset.count_finset_sup]
congr
ext
simp only [count_toMultiset]
theorem degreeOf_lt_iff {n : σ} {f : MvPolynomial σ R} {d : ℕ} (h : 0 < d) :
degreeOf n f < d ↔ ∀ m : σ →₀ ℕ, m ∈ f.support → m n < d := by
rwa [degreeOf_eq_sup, Finset.sup_lt_iff]
lemma degreeOf_le_iff {n : σ} {f : MvPolynomial σ R} {d : ℕ} :
degreeOf n f ≤ d ↔ ∀ m ∈ support f, m n ≤ d := by
rw [degreeOf_eq_sup, Finset.sup_le_iff]
@[simp]
theorem degreeOf_zero (n : σ) : degreeOf n (0 : MvPolynomial σ R) = 0 := by
classical simp only [degreeOf_def, degrees_zero, Multiset.count_zero]
@[simp]
theorem degreeOf_C (a : R) (x : σ) : degreeOf x (C a : MvPolynomial σ R) = 0 := by
classical simp [degreeOf_def, degrees_C]
theorem degreeOf_X [DecidableEq σ] (i j : σ) [Nontrivial R] :
degreeOf i (X j : MvPolynomial σ R) = if i = j then 1 else 0 := by
classical
by_cases c : i = j
· simp only [c, if_true, eq_self_iff_true, degreeOf_def, degrees_X, Multiset.count_singleton]
simp [c, if_false, degreeOf_def, degrees_X]
theorem degreeOf_add_le (n : σ) (f g : MvPolynomial σ R) :
degreeOf n (f + g) ≤ max (degreeOf n f) (degreeOf n g) := by
simp_rw [degreeOf_eq_sup]; exact supDegree_add_le
theorem monomial_le_degreeOf (i : σ) {f : MvPolynomial σ R} {m : σ →₀ ℕ} (h_m : m ∈ f.support) :
m i ≤ degreeOf i f := by
rw [degreeOf_eq_sup i]
apply Finset.le_sup h_m
lemma degreeOf_monomial_eq (s : σ →₀ ℕ) (i : σ) {a : R} (ha : a ≠ 0) :
(monomial s a).degreeOf i = s i := by
classical rw [degreeOf_def, degrees_monomial_eq _ _ ha, Finsupp.count_toMultiset]
-- TODO we can prove equality with `NoZeroDivisors R`
theorem degreeOf_mul_le (i : σ) (f g : MvPolynomial σ R) :
degreeOf i (f * g) ≤ degreeOf i f + degreeOf i g := by
classical
simp only [degreeOf]
convert Multiset.count_le_of_le i degrees_mul_le
rw [Multiset.count_add]
theorem degreeOf_sum_le {ι : Type*} (i : σ) (s : Finset ι) (f : ι → MvPolynomial σ R) :
degreeOf i (∑ j ∈ s, f j) ≤ s.sup fun j => degreeOf i (f j) := by
simp_rw [degreeOf_eq_sup]
exact supDegree_sum_le
-- TODO we can prove equality with `NoZeroDivisors R`
theorem degreeOf_prod_le {ι : Type*} (i : σ) (s : Finset ι) (f : ι → MvPolynomial σ R) :
degreeOf i (∏ j ∈ s, f j) ≤ ∑ j ∈ s, (f j).degreeOf i := by
simp_rw [degreeOf_eq_sup]
exact supDegree_prod_le (by simp only [coe_zero, Pi.zero_apply])
(fun _ _ => by simp only [coe_add, Pi.add_apply])
-- TODO we can prove equality with `NoZeroDivisors R`
theorem degreeOf_pow_le (i : σ) (p : MvPolynomial σ R) (n : ℕ) :
degreeOf i (p ^ n) ≤ n * degreeOf i p := by
simpa using degreeOf_prod_le i (Finset.range n) (fun _ => p)
theorem degreeOf_mul_X_of_ne {i j : σ} (f : MvPolynomial σ R) (h : i ≠ j) :
degreeOf i (f * X j) = degreeOf i f := by
classical
simp only [degreeOf_eq_sup i, support_mul_X, Finset.sup_map]
congr
ext
simp only [Finsupp.single, add_eq_left, addRightEmbedding_apply, coe_mk,
Pi.add_apply, comp_apply, ite_eq_right_iff, Finsupp.coe_add, Pi.single_eq_of_ne h]
@[deprecated (since := "2024-12-01")] alias degreeOf_mul_X_ne := degreeOf_mul_X_of_ne
theorem degreeOf_mul_X_self (j : σ) (f : MvPolynomial σ R) :
degreeOf j (f * X j) ≤ degreeOf j f + 1 := by
classical
simp only [degreeOf]
apply (Multiset.count_le_of_le j degrees_mul_le).trans
simp only [Multiset.count_add, add_le_add_iff_left]
convert Multiset.count_le_of_le j <| degrees_X' j
rw [Multiset.count_singleton_self]
@[deprecated (since := "2024-12-01")] alias degreeOf_mul_X_eq := degreeOf_mul_X_self
theorem degreeOf_mul_X_eq_degreeOf_add_one_iff (j : σ) (f : MvPolynomial σ R) :
degreeOf j (f * X j) = degreeOf j f + 1 ↔ f ≠ 0 := by
refine ⟨fun h => by by_contra ha; simp [ha] at h, fun h => ?_⟩
apply Nat.le_antisymm (degreeOf_mul_X_self j f)
have : (f.support.sup fun m ↦ m j) + 1 = (f.support.sup fun m ↦ (m j + 1)) :=
Finset.comp_sup_eq_sup_comp_of_nonempty @Nat.succ_le_succ (support_nonempty.mpr h)
simp only [degreeOf_eq_sup, support_mul_X, this]
apply Finset.sup_le
intro x hx
simp only [Finset.sup_map, bot_eq_zero', add_pos_iff, zero_lt_one, or_true, Finset.le_sup_iff]
use x
simpa using mem_support_iff.mp hx
theorem degreeOf_C_mul_le (p : MvPolynomial σ R) (i : σ) (c : R) :
(C c * p).degreeOf i ≤ p.degreeOf i := by
unfold degreeOf
convert Multiset.count_le_of_le i degrees_mul_le
simp only [degrees_C, zero_add]
theorem degreeOf_mul_C_le (p : MvPolynomial σ R) (i : σ) (c : R) :
(p * C c).degreeOf i ≤ p.degreeOf i := by
unfold degreeOf
convert Multiset.count_le_of_le i degrees_mul_le
simp only [degrees_C, add_zero]
theorem degreeOf_rename_of_injective {p : MvPolynomial σ R} {f : σ → τ} (h : Function.Injective f)
(i : σ) : degreeOf (f i) (rename f p) = degreeOf i p := by
classical
simp only [degreeOf, degrees_rename_of_injective h, Multiset.count_map_eq_count' f p.degrees h]
end DegreeOf
section TotalDegree
/-! ### `totalDegree` -/
/-- `totalDegree p` gives the maximum |s| over the monomials X^s in `p` -/
def totalDegree (p : MvPolynomial σ R) : ℕ :=
p.support.sup fun s => s.sum fun _ e => e
theorem totalDegree_eq (p : MvPolynomial σ R) :
p.totalDegree = p.support.sup fun m => Multiset.card (toMultiset m) := by
rw [totalDegree]
congr; funext m
exact (Finsupp.card_toMultiset _).symm
theorem le_totalDegree {p : MvPolynomial σ R} {s : σ →₀ ℕ} (h : s ∈ p.support) :
(s.sum fun _ e => e) ≤ totalDegree p :=
Finset.le_sup (α := ℕ) (f := fun s => sum s fun _ e => e) h
theorem totalDegree_le_degrees_card (p : MvPolynomial σ R) :
p.totalDegree ≤ Multiset.card p.degrees := by
classical
rw [totalDegree_eq]
exact Finset.sup_le fun s hs => Multiset.card_le_card <| Finset.le_sup hs
theorem totalDegree_le_of_support_subset (h : p.support ⊆ q.support) :
totalDegree p ≤ totalDegree q :=
Finset.sup_mono h
@[simp]
theorem totalDegree_C (a : R) : (C a : MvPolynomial σ R).totalDegree = 0 :=
(supDegree_single 0 a).trans <| by rw [sum_zero_index, bot_eq_zero', ite_self]
@[simp]
theorem totalDegree_zero : (0 : MvPolynomial σ R).totalDegree = 0 := by
rw [← C_0]; exact totalDegree_C (0 : R)
@[simp]
theorem totalDegree_one : (1 : MvPolynomial σ R).totalDegree = 0 :=
totalDegree_C (1 : R)
|
@[simp]
| Mathlib/Algebra/MvPolynomial/Degrees.lean | 381 | 382 |
/-
Copyright (c) 2020 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov
-/
import Mathlib.Analysis.SpecificLimits.Basic
import Mathlib.Order.Iterate
import Mathlib.Order.SemiconjSup
import Mathlib.Topology.Order.MonotoneContinuity
import Mathlib.Algebra.CharP.Defs
/-!
# Translation number of a monotone real map that commutes with `x ↦ x + 1`
Let `f : ℝ → ℝ` be a monotone map such that `f (x + 1) = f x + 1` for all `x`. Then the limit
$$
\tau(f)=\lim_{n\to\infty}{f^n(x)-x}{n}
$$
exists and does not depend on `x`. This number is called the *translation number* of `f`.
Different authors use different notation for this number: `τ`, `ρ`, `rot`, etc
In this file we define a structure `CircleDeg1Lift` for bundled maps with these properties, define
translation number of `f : CircleDeg1Lift`, prove some estimates relating `f^n(x)-x` to `τ(f)`. In
case of a continuous map `f` we also prove that `f` admits a point `x` such that `f^n(x)=x+m` if and
only if `τ(f)=m/n`.
Maps of this type naturally appear as lifts of orientation preserving circle homeomorphisms. More
precisely, let `f` be an orientation preserving homeomorphism of the circle $S^1=ℝ/ℤ$, and
consider a real number `a` such that
`⟦a⟧ = f 0`, where `⟦⟧` means the natural projection `ℝ → ℝ/ℤ`. Then there exists a unique
continuous function `F : ℝ → ℝ` such that `F 0 = a` and `⟦F x⟧ = f ⟦x⟧` for all `x` (this fact is
not formalized yet). This function is strictly monotone, continuous, and satisfies
`F (x + 1) = F x + 1`. The number `⟦τ F⟧ : ℝ / ℤ` is called the *rotation number* of `f`.
It does not depend on the choice of `a`.
## Main definitions
* `CircleDeg1Lift`: a monotone map `f : ℝ → ℝ` such that `f (x + 1) = f x + 1` for all `x`;
the type `CircleDeg1Lift` is equipped with `Lattice` and `Monoid` structures; the
multiplication is given by composition: `(f * g) x = f (g x)`.
* `CircleDeg1Lift.translationNumber`: translation number of `f : CircleDeg1Lift`.
## Main statements
We prove the following properties of `CircleDeg1Lift.translationNumber`.
* `CircleDeg1Lift.translationNumber_eq_of_dist_bounded`: if the distance between `(f^n) 0`
and `(g^n) 0` is bounded from above uniformly in `n : ℕ`, then `f` and `g` have equal
translation numbers.
* `CircleDeg1Lift.translationNumber_eq_of_semiconjBy`: if two `CircleDeg1Lift` maps `f`, `g`
are semiconjugate by a `CircleDeg1Lift` map, then `τ f = τ g`.
* `CircleDeg1Lift.translationNumber_units_inv`: if `f` is an invertible `CircleDeg1Lift` map
(equivalently, `f` is a lift of an orientation-preserving circle homeomorphism), then
the translation number of `f⁻¹` is the negative of the translation number of `f`.
* `CircleDeg1Lift.translationNumber_mul_of_commute`: if `f` and `g` commute, then
`τ (f * g) = τ f + τ g`.
* `CircleDeg1Lift.translationNumber_eq_rat_iff`: the translation number of `f` is equal to
a rational number `m / n` if and only if `(f^n) x = x + m` for some `x`.
* `CircleDeg1Lift.semiconj_of_bijective_of_translationNumber_eq`: if `f` and `g` are two
bijective `CircleDeg1Lift` maps and their translation numbers are equal, then these
maps are semiconjugate to each other.
* `CircleDeg1Lift.semiconj_of_group_action_of_forall_translationNumber_eq`: let `f₁` and `f₂` be
two actions of a group `G` on the circle by degree 1 maps (formally, `f₁` and `f₂` are two
homomorphisms from `G →* CircleDeg1Lift`). If the translation numbers of `f₁ g` and `f₂ g` are
equal to each other for all `g : G`, then these two actions are semiconjugate by some
`F : CircleDeg1Lift`. This is a version of Proposition 5.4 from [Étienne Ghys, Groupes
d'homeomorphismes du cercle et cohomologie bornee][ghys87:groupes].
## Notation
We use a local notation `τ` for the translation number of `f : CircleDeg1Lift`.
## Implementation notes
We define the translation number of `f : CircleDeg1Lift` to be the limit of the sequence
`(f ^ (2 ^ n)) 0 / (2 ^ n)`, then prove that `((f ^ n) x - x) / n` tends to this number for any `x`.
This way it is much easier to prove that the limit exists and basic properties of the limit.
We define translation number for a wider class of maps `f : ℝ → ℝ` instead of lifts of orientation
preserving circle homeomorphisms for two reasons:
* non-strictly monotone circle self-maps with discontinuities naturally appear as Poincaré maps
for some flows on the two-torus (e.g., one can take a constant flow and glue in a few Cherry
cells);
* definition and some basic properties still work for this class.
## References
* [Étienne Ghys, Groupes d'homeomorphismes du cercle et cohomologie bornee][ghys87:groupes]
## TODO
Here are some short-term goals.
* Introduce a structure or a typeclass for lifts of circle homeomorphisms. We use
`Units CircleDeg1Lift` for now, but it's better to have a dedicated type (or a typeclass?).
* Prove that the `SemiconjBy` relation on circle homeomorphisms is an equivalence relation.
* Introduce `ConditionallyCompleteLattice` structure, use it in the proof of
`CircleDeg1Lift.semiconj_of_group_action_of_forall_translationNumber_eq`.
* Prove that the orbits of the irrational rotation are dense in the circle. Deduce that a
homeomorphism with an irrational rotation is semiconjugate to the corresponding irrational
translation by a continuous `CircleDeg1Lift`.
## Tags
circle homeomorphism, rotation number
-/
open Filter Set Int Topology
open Function hiding Commute
/-!
### Definition and monoid structure
-/
/-- A lift of a monotone degree one map `S¹ → S¹`. -/
structure CircleDeg1Lift : Type extends ℝ →o ℝ where
map_add_one' : ∀ x, toFun (x + 1) = toFun x + 1
namespace CircleDeg1Lift
instance : FunLike CircleDeg1Lift ℝ ℝ where
coe f := f.toFun
coe_injective' | ⟨⟨_, _⟩, _⟩, ⟨⟨_, _⟩, _⟩, rfl => rfl
instance : OrderHomClass CircleDeg1Lift ℝ ℝ where
map_rel f _ _ h := f.monotone' h
@[simp] theorem coe_mk (f h) : ⇑(mk f h) = f := rfl
variable (f g : CircleDeg1Lift)
@[simp] theorem coe_toOrderHom : ⇑f.toOrderHom = f := rfl
protected theorem monotone : Monotone f := f.monotone'
@[mono] theorem mono {x y} (h : x ≤ y) : f x ≤ f y := f.monotone h
theorem strictMono_iff_injective : StrictMono f ↔ Injective f :=
f.monotone.strictMono_iff_injective
@[simp]
theorem map_add_one : ∀ x, f (x + 1) = f x + 1 :=
f.map_add_one'
@[simp]
theorem map_one_add (x : ℝ) : f (1 + x) = 1 + f x := by rw [add_comm, map_add_one, add_comm 1]
@[ext]
theorem ext ⦃f g : CircleDeg1Lift⦄ (h : ∀ x, f x = g x) : f = g :=
DFunLike.ext f g h
instance : Monoid CircleDeg1Lift where
mul f g :=
{ toOrderHom := f.1.comp g.1
map_add_one' := fun x => by simp [map_add_one] }
one := ⟨.id, fun _ => rfl⟩
mul_one _ := rfl
one_mul _ := rfl
mul_assoc _ _ _ := DFunLike.coe_injective rfl
instance : Inhabited CircleDeg1Lift := ⟨1⟩
@[simp]
theorem coe_mul : ⇑(f * g) = f ∘ g :=
rfl
theorem mul_apply (x) : (f * g) x = f (g x) :=
rfl
@[simp]
theorem coe_one : ⇑(1 : CircleDeg1Lift) = id :=
rfl
instance unitsHasCoeToFun : CoeFun CircleDeg1Liftˣ fun _ => ℝ → ℝ :=
⟨fun f => ⇑(f : CircleDeg1Lift)⟩
@[simp]
theorem units_inv_apply_apply (f : CircleDeg1Liftˣ) (x : ℝ) :
(f⁻¹ : CircleDeg1Liftˣ) (f x) = x := by simp only [← mul_apply, f.inv_mul, coe_one, id]
@[simp]
theorem units_apply_inv_apply (f : CircleDeg1Liftˣ) (x : ℝ) :
f ((f⁻¹ : CircleDeg1Liftˣ) x) = x := by simp only [← mul_apply, f.mul_inv, coe_one, id]
/-- If a lift of a circle map is bijective, then it is an order automorphism of the line. -/
def toOrderIso : CircleDeg1Liftˣ →* ℝ ≃o ℝ where
toFun f :=
{ toFun := f
invFun := ⇑f⁻¹
left_inv := units_inv_apply_apply f
right_inv := units_apply_inv_apply f
map_rel_iff' := ⟨fun h => by simpa using mono (↑f⁻¹) h, mono f⟩ }
map_one' := rfl
map_mul' _ _ := rfl
@[simp]
theorem coe_toOrderIso (f : CircleDeg1Liftˣ) : ⇑(toOrderIso f) = f :=
rfl
@[simp]
theorem coe_toOrderIso_symm (f : CircleDeg1Liftˣ) :
⇑(toOrderIso f).symm = (f⁻¹ : CircleDeg1Liftˣ) :=
rfl
@[simp]
theorem coe_toOrderIso_inv (f : CircleDeg1Liftˣ) : ⇑(toOrderIso f)⁻¹ = (f⁻¹ : CircleDeg1Liftˣ) :=
rfl
theorem isUnit_iff_bijective {f : CircleDeg1Lift} : IsUnit f ↔ Bijective f :=
⟨fun ⟨u, h⟩ => h ▸ (toOrderIso u).bijective, fun h =>
Units.isUnit
{ val := f
inv :=
{ toFun := (Equiv.ofBijective f h).symm
monotone' := fun x y hxy =>
(f.strictMono_iff_injective.2 h.1).le_iff_le.1
(by simp only [Equiv.ofBijective_apply_symm_apply f h, hxy])
map_add_one' := fun x =>
h.1 <| by simp only [Equiv.ofBijective_apply_symm_apply f, f.map_add_one] }
val_inv := ext <| Equiv.ofBijective_apply_symm_apply f h
inv_val := ext <| Equiv.ofBijective_symm_apply_apply f h }⟩
theorem coe_pow : ∀ n : ℕ, ⇑(f ^ n) = f^[n]
| 0 => rfl
| n + 1 => by
ext x
simp [coe_pow n, pow_succ]
theorem semiconjBy_iff_semiconj {f g₁ g₂ : CircleDeg1Lift} :
SemiconjBy f g₁ g₂ ↔ Semiconj f g₁ g₂ :=
CircleDeg1Lift.ext_iff
theorem commute_iff_commute {f g : CircleDeg1Lift} : Commute f g ↔ Function.Commute f g :=
CircleDeg1Lift.ext_iff
/-!
### Translate by a constant
-/
/-- The map `y ↦ x + y` as a `CircleDeg1Lift`. More precisely, we define a homomorphism from
`Multiplicative ℝ` to `CircleDeg1Liftˣ`, so the translation by `x` is
`translation (Multiplicative.ofAdd x)`. -/
def translate : Multiplicative ℝ →* CircleDeg1Liftˣ := MonoidHom.toHomUnits <|
{ toFun := fun x =>
⟨⟨fun y => x.toAdd + y, fun _ _ h => add_le_add_left h _⟩, fun _ =>
(add_assoc _ _ _).symm⟩
map_one' := ext <| zero_add
map_mul' := fun _ _ => ext <| add_assoc _ _ }
@[simp]
theorem translate_apply (x y : ℝ) : translate (Multiplicative.ofAdd x) y = x + y :=
rfl
@[simp]
theorem translate_inv_apply (x y : ℝ) : (translate <| Multiplicative.ofAdd x)⁻¹ y = -x + y :=
rfl
@[simp]
theorem translate_zpow (x : ℝ) (n : ℤ) :
translate (Multiplicative.ofAdd x) ^ n = translate (Multiplicative.ofAdd <| ↑n * x) := by
simp only [← zsmul_eq_mul, ofAdd_zsmul, MonoidHom.map_zpow]
@[simp]
theorem translate_pow (x : ℝ) (n : ℕ) :
translate (Multiplicative.ofAdd x) ^ n = translate (Multiplicative.ofAdd <| ↑n * x) :=
translate_zpow x n
@[simp]
theorem translate_iterate (x : ℝ) (n : ℕ) :
(translate (Multiplicative.ofAdd x))^[n] = translate (Multiplicative.ofAdd <| ↑n * x) := by
rw [← coe_pow, ← Units.val_pow_eq_pow_val, translate_pow]
/-!
### Commutativity with integer translations
In this section we prove that `f` commutes with translations by an integer number.
First we formulate these statements (for a natural or an integer number,
addition on the left or on the right, addition or subtraction) using `Function.Commute`,
then reformulate as `simp` lemmas `map_int_add` etc.
-/
theorem commute_nat_add (n : ℕ) : Function.Commute f (n + ·) := by
simpa only [nsmul_one, add_left_iterate] using Function.Commute.iterate_right f.map_one_add n
theorem commute_add_nat (n : ℕ) : Function.Commute f (· + n) := by
simp only [add_comm _ (n : ℝ), f.commute_nat_add n]
theorem commute_sub_nat (n : ℕ) : Function.Commute f (· - n) := by
simpa only [sub_eq_add_neg] using
(f.commute_add_nat n).inverses_right (Equiv.addRight _).right_inv (Equiv.addRight _).left_inv
theorem commute_add_int : ∀ n : ℤ, Function.Commute f (· + n)
| (n : ℕ) => f.commute_add_nat n
| -[n+1] => by simpa [sub_eq_add_neg] using f.commute_sub_nat (n + 1)
theorem commute_int_add (n : ℤ) : Function.Commute f (n + ·) := by
simpa only [add_comm _ (n : ℝ)] using f.commute_add_int n
theorem commute_sub_int (n : ℤ) : Function.Commute f (· - n) := by
simpa only [sub_eq_add_neg] using
(f.commute_add_int n).inverses_right (Equiv.addRight _).right_inv (Equiv.addRight _).left_inv
@[simp]
theorem map_int_add (m : ℤ) (x : ℝ) : f (m + x) = m + f x :=
f.commute_int_add m x
@[simp]
theorem map_add_int (x : ℝ) (m : ℤ) : f (x + m) = f x + m :=
f.commute_add_int m x
@[simp]
theorem map_sub_int (x : ℝ) (n : ℤ) : f (x - n) = f x - n :=
f.commute_sub_int n x
@[simp]
theorem map_add_nat (x : ℝ) (n : ℕ) : f (x + n) = f x + n :=
f.map_add_int x n
@[simp]
theorem map_nat_add (n : ℕ) (x : ℝ) : f (n + x) = n + f x :=
f.map_int_add n x
@[simp]
theorem map_sub_nat (x : ℝ) (n : ℕ) : f (x - n) = f x - n :=
f.map_sub_int x n
theorem map_int_of_map_zero (n : ℤ) : f n = f 0 + n := by rw [← f.map_add_int, zero_add]
@[simp]
theorem map_fract_sub_fract_eq (x : ℝ) : f (fract x) - fract x = f x - x := by
rw [Int.fract, f.map_sub_int, sub_sub_sub_cancel_right]
/-!
### Pointwise order on circle maps
-/
/-- Monotone circle maps form a lattice with respect to the pointwise order -/
noncomputable instance : Lattice CircleDeg1Lift where
sup f g :=
{ toFun := fun x => max (f x) (g x)
monotone' := fun _ _ h => max_le_max (f.mono h) (g.mono h)
-- TODO: generalize to `Monotone.max`
map_add_one' := fun x => by simp [max_add_add_right] }
le f g := ∀ x, f x ≤ g x
le_refl f x := le_refl (f x)
le_trans _ _ _ h₁₂ h₂₃ x := le_trans (h₁₂ x) (h₂₃ x)
le_antisymm _ _ h₁₂ h₂₁ := ext fun x => le_antisymm (h₁₂ x) (h₂₁ x)
le_sup_left f g x := le_max_left (f x) (g x)
le_sup_right f g x := le_max_right (f x) (g x)
sup_le _ _ _ h₁ h₂ x := max_le (h₁ x) (h₂ x)
inf f g :=
{ toFun := fun x => min (f x) (g x)
monotone' := fun _ _ h => min_le_min (f.mono h) (g.mono h)
map_add_one' := fun x => by simp [min_add_add_right] }
inf_le_left f g x := min_le_left (f x) (g x)
inf_le_right f g x := min_le_right (f x) (g x)
le_inf _ _ _ h₂ h₃ x := le_min (h₂ x) (h₃ x)
@[simp]
theorem sup_apply (x : ℝ) : (f ⊔ g) x = max (f x) (g x) :=
rfl
@[simp]
theorem inf_apply (x : ℝ) : (f ⊓ g) x = min (f x) (g x) :=
rfl
theorem iterate_monotone (n : ℕ) : Monotone fun f : CircleDeg1Lift => f^[n] := fun f _ h =>
f.monotone.iterate_le_of_le h _
theorem iterate_mono {f g : CircleDeg1Lift} (h : f ≤ g) (n : ℕ) : f^[n] ≤ g^[n] :=
iterate_monotone n h
theorem pow_mono {f g : CircleDeg1Lift} (h : f ≤ g) (n : ℕ) : f ^ n ≤ g ^ n := fun x => by
simp only [coe_pow, iterate_mono h n x]
theorem pow_monotone (n : ℕ) : Monotone fun f : CircleDeg1Lift => f ^ n := fun _ _ h => pow_mono h n
/-!
### Estimates on `(f * g) 0`
We prove the estimates `f 0 + ⌊g 0⌋ ≤ f (g 0) ≤ f 0 + ⌈g 0⌉` and some corollaries with added/removed
floors and ceils.
We also prove that for two semiconjugate maps `g₁`, `g₂`, the distance between `g₁ 0` and `g₂ 0`
is less than two.
-/
theorem map_le_of_map_zero (x : ℝ) : f x ≤ f 0 + ⌈x⌉ :=
calc
f x ≤ f ⌈x⌉ := f.monotone <| le_ceil _
_ = f 0 + ⌈x⌉ := f.map_int_of_map_zero _
theorem map_map_zero_le : f (g 0) ≤ f 0 + ⌈g 0⌉ :=
f.map_le_of_map_zero (g 0)
theorem floor_map_map_zero_le : ⌊f (g 0)⌋ ≤ ⌊f 0⌋ + ⌈g 0⌉ :=
calc
⌊f (g 0)⌋ ≤ ⌊f 0 + ⌈g 0⌉⌋ := floor_mono <| f.map_map_zero_le g
_ = ⌊f 0⌋ + ⌈g 0⌉ := floor_add_intCast _ _
theorem ceil_map_map_zero_le : ⌈f (g 0)⌉ ≤ ⌈f 0⌉ + ⌈g 0⌉ :=
calc
⌈f (g 0)⌉ ≤ ⌈f 0 + ⌈g 0⌉⌉ := ceil_mono <| f.map_map_zero_le g
_ = ⌈f 0⌉ + ⌈g 0⌉ := ceil_add_intCast _ _
theorem map_map_zero_lt : f (g 0) < f 0 + g 0 + 1 :=
calc
f (g 0) ≤ f 0 + ⌈g 0⌉ := f.map_map_zero_le g
_ < f 0 + (g 0 + 1) := add_lt_add_left (ceil_lt_add_one _) _
_ = f 0 + g 0 + 1 := (add_assoc _ _ _).symm
theorem le_map_of_map_zero (x : ℝ) : f 0 + ⌊x⌋ ≤ f x :=
calc
f 0 + ⌊x⌋ = f ⌊x⌋ := (f.map_int_of_map_zero _).symm
_ ≤ f x := f.monotone <| floor_le _
theorem le_map_map_zero : f 0 + ⌊g 0⌋ ≤ f (g 0) :=
f.le_map_of_map_zero (g 0)
theorem le_floor_map_map_zero : ⌊f 0⌋ + ⌊g 0⌋ ≤ ⌊f (g 0)⌋ :=
calc
⌊f 0⌋ + ⌊g 0⌋ = ⌊f 0 + ⌊g 0⌋⌋ := (floor_add_intCast _ _).symm
_ ≤ ⌊f (g 0)⌋ := floor_mono <| f.le_map_map_zero g
theorem le_ceil_map_map_zero : ⌈f 0⌉ + ⌊g 0⌋ ≤ ⌈(f * g) 0⌉ :=
calc
⌈f 0⌉ + ⌊g 0⌋ = ⌈f 0 + ⌊g 0⌋⌉ := (ceil_add_intCast _ _).symm
_ ≤ ⌈f (g 0)⌉ := ceil_mono <| f.le_map_map_zero g
theorem lt_map_map_zero : f 0 + g 0 - 1 < f (g 0) :=
calc
f 0 + g 0 - 1 = f 0 + (g 0 - 1) := add_sub_assoc _ _ _
_ < f 0 + ⌊g 0⌋ := add_lt_add_left (sub_one_lt_floor _) _
_ ≤ f (g 0) := f.le_map_map_zero g
theorem dist_map_map_zero_lt : dist (f 0 + g 0) (f (g 0)) < 1 := by
rw [dist_comm, Real.dist_eq, abs_lt, lt_sub_iff_add_lt', sub_lt_iff_lt_add', ← sub_eq_add_neg]
exact ⟨f.lt_map_map_zero g, f.map_map_zero_lt g⟩
theorem dist_map_zero_lt_of_semiconj {f g₁ g₂ : CircleDeg1Lift} (h : Function.Semiconj f g₁ g₂) :
dist (g₁ 0) (g₂ 0) < 2 :=
calc
dist (g₁ 0) (g₂ 0) ≤ dist (g₁ 0) (f (g₁ 0) - f 0) + dist _ (g₂ 0) := dist_triangle _ _ _
_ = dist (f 0 + g₁ 0) (f (g₁ 0)) + dist (g₂ 0 + f 0) (g₂ (f 0)) := by
simp only [h.eq, Real.dist_eq, sub_sub, add_comm (f 0), sub_sub_eq_add_sub,
abs_sub_comm (g₂ (f 0))]
_ < 1 + 1 := add_lt_add (f.dist_map_map_zero_lt g₁) (g₂.dist_map_map_zero_lt f)
_ = 2 := one_add_one_eq_two
theorem dist_map_zero_lt_of_semiconjBy {f g₁ g₂ : CircleDeg1Lift} (h : SemiconjBy f g₁ g₂) :
dist (g₁ 0) (g₂ 0) < 2 :=
dist_map_zero_lt_of_semiconj <| semiconjBy_iff_semiconj.1 h
/-!
### Limits at infinities and continuity
-/
protected theorem tendsto_atBot : Tendsto f atBot atBot :=
tendsto_atBot_mono f.map_le_of_map_zero <| tendsto_atBot_add_const_left _ _ <|
(tendsto_atBot_mono fun x => (ceil_lt_add_one x).le) <|
tendsto_atBot_add_const_right _ _ tendsto_id
protected theorem tendsto_atTop : Tendsto f atTop atTop :=
tendsto_atTop_mono f.le_map_of_map_zero <| tendsto_atTop_add_const_left _ _ <|
(tendsto_atTop_mono fun x => (sub_one_lt_floor x).le) <| by
simpa [sub_eq_add_neg] using tendsto_atTop_add_const_right _ _ tendsto_id
theorem continuous_iff_surjective : Continuous f ↔ Function.Surjective f :=
⟨fun h => h.surjective f.tendsto_atTop f.tendsto_atBot, f.monotone.continuous_of_surjective⟩
/-!
### Estimates on `(f^n) x`
If we know that `f x` is `≤`/`<`/`≥`/`>`/`=` to `x + m`, then we have a similar estimate on
`f^[n] x` and `x + n * m`.
For `≤`, `≥`, and `=` we formulate both `of` (implication) and `iff` versions because implications
work for `n = 0`. For `<` and `>` we formulate only `iff` versions.
-/
theorem iterate_le_of_map_le_add_int {x : ℝ} {m : ℤ} (h : f x ≤ x + m) (n : ℕ) :
f^[n] x ≤ x + n * m := by
simpa only [nsmul_eq_mul, add_right_iterate] using
(f.commute_add_int m).iterate_le_of_map_le f.monotone (monotone_id.add_const (m : ℝ)) h n
theorem le_iterate_of_add_int_le_map {x : ℝ} {m : ℤ} (h : x + m ≤ f x) (n : ℕ) :
x + n * m ≤ f^[n] x := by
simpa only [nsmul_eq_mul, add_right_iterate] using
(f.commute_add_int m).symm.iterate_le_of_map_le (monotone_id.add_const (m : ℝ)) f.monotone h n
theorem iterate_eq_of_map_eq_add_int {x : ℝ} {m : ℤ} (h : f x = x + m) (n : ℕ) :
f^[n] x = x + n * m := by
simpa only [nsmul_eq_mul, add_right_iterate] using (f.commute_add_int m).iterate_eq_of_map_eq n h
theorem iterate_pos_le_iff {x : ℝ} {m : ℤ} {n : ℕ} (hn : 0 < n) :
f^[n] x ≤ x + n * m ↔ f x ≤ x + m := by
simpa only [nsmul_eq_mul, add_right_iterate] using
(f.commute_add_int m).iterate_pos_le_iff_map_le f.monotone (strictMono_id.add_const (m : ℝ)) hn
theorem iterate_pos_lt_iff {x : ℝ} {m : ℤ} {n : ℕ} (hn : 0 < n) :
f^[n] x < x + n * m ↔ f x < x + m := by
simpa only [nsmul_eq_mul, add_right_iterate] using
(f.commute_add_int m).iterate_pos_lt_iff_map_lt f.monotone (strictMono_id.add_const (m : ℝ)) hn
theorem iterate_pos_eq_iff {x : ℝ} {m : ℤ} {n : ℕ} (hn : 0 < n) :
f^[n] x = x + n * m ↔ f x = x + m := by
simpa only [nsmul_eq_mul, add_right_iterate] using
(f.commute_add_int m).iterate_pos_eq_iff_map_eq f.monotone (strictMono_id.add_const (m : ℝ)) hn
theorem le_iterate_pos_iff {x : ℝ} {m : ℤ} {n : ℕ} (hn : 0 < n) :
x + n * m ≤ f^[n] x ↔ x + m ≤ f x := by
simpa only [not_lt] using not_congr (f.iterate_pos_lt_iff hn)
theorem lt_iterate_pos_iff {x : ℝ} {m : ℤ} {n : ℕ} (hn : 0 < n) :
x + n * m < f^[n] x ↔ x + m < f x := by
simpa only [not_le] using not_congr (f.iterate_pos_le_iff hn)
theorem mul_floor_map_zero_le_floor_iterate_zero (n : ℕ) : ↑n * ⌊f 0⌋ ≤ ⌊f^[n] 0⌋ := by
rw [le_floor, Int.cast_mul, Int.cast_natCast, ← zero_add ((n : ℝ) * _)]
apply le_iterate_of_add_int_le_map
simp [floor_le]
/-!
### Definition of translation number
-/
noncomputable section
/-- An auxiliary sequence used to define the translation number. -/
def transnumAuxSeq (n : ℕ) : ℝ :=
(f ^ (2 ^ n : ℕ)) 0 / 2 ^ n
/-- The translation number of a `CircleDeg1Lift`, $τ(f)=\lim_{n→∞}\frac{f^n(x)-x}{n}$. We use
an auxiliary sequence `\frac{f^{2^n}(0)}{2^n}` to define `τ(f)` because some proofs are simpler
this way. -/
| def translationNumber : ℝ :=
limUnder atTop f.transnumAuxSeq
end
| Mathlib/Dynamics/Circle/RotationNumber/TranslationNumber.lean | 549 | 552 |
/-
Copyright (c) 2020 Kim Morrison. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kim Morrison, Shing Tak Lam, Mario Carneiro
-/
import Mathlib.Algebra.BigOperators.Intervals
import Mathlib.Algebra.BigOperators.Ring.List
import Mathlib.Data.Int.ModEq
import Mathlib.Data.Nat.Bits
import Mathlib.Data.Nat.Log
import Mathlib.Data.List.Palindrome
import Mathlib.Tactic.IntervalCases
import Mathlib.Tactic.Linarith
import Mathlib.Tactic.Ring
/-!
# Digits of a natural number
This provides a basic API for extracting the digits of a natural number in a given base,
and reconstructing numbers from their digits.
We also prove some divisibility tests based on digits, in particular completing
Theorem #85 from https://www.cs.ru.nl/~freek/100/.
Also included is a bound on the length of `Nat.toDigits` from core.
## TODO
A basic `norm_digits` tactic for proving goals of the form `Nat.digits a b = l` where `a` and `b`
are numerals is not yet ported.
-/
namespace Nat
variable {n : ℕ}
/-- (Impl.) An auxiliary definition for `digits`, to help get the desired definitional unfolding. -/
def digitsAux0 : ℕ → List ℕ
| 0 => []
| n + 1 => [n + 1]
/-- (Impl.) An auxiliary definition for `digits`, to help get the desired definitional unfolding. -/
def digitsAux1 (n : ℕ) : List ℕ :=
List.replicate n 1
/-- (Impl.) An auxiliary definition for `digits`, to help get the desired definitional unfolding. -/
def digitsAux (b : ℕ) (h : 2 ≤ b) : ℕ → List ℕ
| 0 => []
| n + 1 =>
((n + 1) % b) :: digitsAux b h ((n + 1) / b)
decreasing_by exact Nat.div_lt_self (Nat.succ_pos _) h
@[simp]
theorem digitsAux_zero (b : ℕ) (h : 2 ≤ b) : digitsAux b h 0 = [] := by rw [digitsAux]
theorem digitsAux_def (b : ℕ) (h : 2 ≤ b) (n : ℕ) (w : 0 < n) :
digitsAux b h n = (n % b) :: digitsAux b h (n / b) := by
cases n
· cases w
· rw [digitsAux]
/-- `digits b n` gives the digits, in little-endian order,
of a natural number `n` in a specified base `b`.
In any base, we have `ofDigits b L = L.foldr (fun x y ↦ x + b * y) 0`.
* For any `2 ≤ b`, we have `l < b` for any `l ∈ digits b n`,
and the last digit is not zero.
This uniquely specifies the behaviour of `digits b`.
* For `b = 1`, we define `digits 1 n = List.replicate n 1`.
* For `b = 0`, we define `digits 0 n = [n]`, except `digits 0 0 = []`.
Note this differs from the existing `Nat.toDigits` in core, which is used for printing numerals.
In particular, `Nat.toDigits b 0 = ['0']`, while `digits b 0 = []`.
-/
def digits : ℕ → ℕ → List ℕ
| 0 => digitsAux0
| 1 => digitsAux1
| b + 2 => digitsAux (b + 2) (by norm_num)
@[simp]
theorem digits_zero (b : ℕ) : digits b 0 = [] := by
rcases b with (_ | ⟨_ | ⟨_⟩⟩) <;> simp [digits, digitsAux0, digitsAux1]
theorem digits_zero_zero : digits 0 0 = [] :=
rfl
@[simp]
theorem digits_zero_succ (n : ℕ) : digits 0 n.succ = [n + 1] :=
rfl
theorem digits_zero_succ' : ∀ {n : ℕ}, n ≠ 0 → digits 0 n = [n]
| 0, h => (h rfl).elim
| _ + 1, _ => rfl
@[simp]
theorem digits_one (n : ℕ) : digits 1 n = List.replicate n 1 :=
rfl
-- no `@[simp]`: dsimp can prove this
theorem digits_one_succ (n : ℕ) : digits 1 (n + 1) = 1 :: digits 1 n :=
rfl
theorem digits_add_two_add_one (b n : ℕ) :
digits (b + 2) (n + 1) = ((n + 1) % (b + 2)) :: digits (b + 2) ((n + 1) / (b + 2)) := by
simp [digits, digitsAux_def]
@[simp]
lemma digits_of_two_le_of_pos {b : ℕ} (hb : 2 ≤ b) (hn : 0 < n) :
Nat.digits b n = n % b :: Nat.digits b (n / b) := by
rw [Nat.eq_add_of_sub_eq hb rfl, Nat.eq_add_of_sub_eq hn rfl, Nat.digits_add_two_add_one]
theorem digits_def' :
∀ {b : ℕ} (_ : 1 < b) {n : ℕ} (_ : 0 < n), digits b n = (n % b) :: digits b (n / b)
| 0, h => absurd h (by decide)
| 1, h => absurd h (by decide)
| b + 2, _ => digitsAux_def _ (by simp) _
@[simp]
theorem digits_of_lt (b x : ℕ) (hx : x ≠ 0) (hxb : x < b) : digits b x = [x] := by
rcases exists_eq_succ_of_ne_zero hx with ⟨x, rfl⟩
rcases Nat.exists_eq_add_of_le' ((Nat.le_add_left 1 x).trans_lt hxb) with ⟨b, rfl⟩
rw [digits_add_two_add_one, div_eq_of_lt hxb, digits_zero, mod_eq_of_lt hxb]
theorem digits_add (b : ℕ) (h : 1 < b) (x y : ℕ) (hxb : x < b) (hxy : x ≠ 0 ∨ y ≠ 0) :
digits b (x + b * y) = x :: digits b y := by
rcases Nat.exists_eq_add_of_le' h with ⟨b, rfl : _ = _ + 2⟩
cases y
· simp [hxb, hxy.resolve_right (absurd rfl)]
dsimp [digits]
rw [digitsAux_def]
· congr
· simp [Nat.add_mod, mod_eq_of_lt hxb]
· simp [add_mul_div_left, div_eq_of_lt hxb]
· apply Nat.succ_pos
-- If we had a function converting a list into a polynomial,
-- and appropriate lemmas about that function,
-- we could rewrite this in terms of that.
/-- `ofDigits b L` takes a list `L` of natural numbers, and interprets them
as a number in semiring, as the little-endian digits in base `b`.
-/
def ofDigits {α : Type*} [Semiring α] (b : α) : List ℕ → α
| [] => 0
| h :: t => h + b * ofDigits b t
theorem ofDigits_eq_foldr {α : Type*} [Semiring α] (b : α) (L : List ℕ) :
ofDigits b L = List.foldr (fun x y => ↑x + b * y) 0 L := by
induction' L with d L ih
· rfl
· dsimp [ofDigits]
rw [ih]
theorem ofDigits_eq_sum_mapIdx_aux (b : ℕ) (l : List ℕ) :
(l.zipWith ((fun a i : ℕ => a * b ^ (i + 1))) (List.range l.length)).sum =
b * (l.zipWith (fun a i => a * b ^ i) (List.range l.length)).sum := by
suffices
l.zipWith (fun a i : ℕ => a * b ^ (i + 1)) (List.range l.length) =
l.zipWith (fun a i=> b * (a * b ^ i)) (List.range l.length)
by simp [this]
congr; ext; simp [pow_succ]; ring
theorem ofDigits_eq_sum_mapIdx (b : ℕ) (L : List ℕ) :
ofDigits b L = (L.mapIdx fun i a => a * b ^ i).sum := by
rw [List.mapIdx_eq_zipIdx_map, List.zipIdx_eq_zip_range', List.map_zip_eq_zipWith,
ofDigits_eq_foldr, ← List.range_eq_range']
induction' L with hd tl hl
· simp
· simpa [List.range_succ_eq_map, List.zipWith_map_right, ofDigits_eq_sum_mapIdx_aux] using
Or.inl hl
@[simp]
theorem ofDigits_nil {b : ℕ} : ofDigits b [] = 0 := rfl
@[simp]
theorem ofDigits_singleton {b n : ℕ} : ofDigits b [n] = n := by simp [ofDigits]
@[simp]
theorem ofDigits_one_cons {α : Type*} [Semiring α] (h : ℕ) (L : List ℕ) :
ofDigits (1 : α) (h :: L) = h + ofDigits 1 L := by simp [ofDigits]
theorem ofDigits_cons {b hd} {tl : List ℕ} :
ofDigits b (hd :: tl) = hd + b * ofDigits b tl := rfl
theorem ofDigits_append {b : ℕ} {l1 l2 : List ℕ} :
ofDigits b (l1 ++ l2) = ofDigits b l1 + b ^ l1.length * ofDigits b l2 := by
induction' l1 with hd tl IH
· simp [ofDigits]
· rw [ofDigits, List.cons_append, ofDigits, IH, List.length_cons, pow_succ']
ring
@[norm_cast]
theorem coe_ofDigits (α : Type*) [Semiring α] (b : ℕ) (L : List ℕ) :
((ofDigits b L : ℕ) : α) = ofDigits (b : α) L := by
induction' L with d L ih
· simp [ofDigits]
· dsimp [ofDigits]; push_cast; rw [ih]
@[norm_cast]
theorem coe_int_ofDigits (b : ℕ) (L : List ℕ) : ((ofDigits b L : ℕ) : ℤ) = ofDigits (b : ℤ) L := by
induction' L with d L _
· rfl
· dsimp [ofDigits]; push_cast; simp only
theorem digits_zero_of_eq_zero {b : ℕ} (h : b ≠ 0) :
∀ {L : List ℕ} (_ : ofDigits b L = 0), ∀ l ∈ L, l = 0
| _ :: _, h0, _, List.Mem.head .. => Nat.eq_zero_of_add_eq_zero_right h0
| _ :: _, h0, _, List.Mem.tail _ hL =>
digits_zero_of_eq_zero h (mul_right_injective₀ h (Nat.eq_zero_of_add_eq_zero_left h0)) _ hL
theorem digits_ofDigits (b : ℕ) (h : 1 < b) (L : List ℕ) (w₁ : ∀ l ∈ L, l < b)
(w₂ : ∀ h : L ≠ [], L.getLast h ≠ 0) : digits b (ofDigits b L) = L := by
induction' L with d L ih
· dsimp [ofDigits]
simp
· dsimp [ofDigits]
replace w₂ := w₂ (by simp)
rw [digits_add b h]
· rw [ih]
· intro l m
apply w₁
exact List.mem_cons_of_mem _ m
· intro h
rw [List.getLast_cons h] at w₂
convert w₂
· exact w₁ d List.mem_cons_self
· by_cases h' : L = []
· rcases h' with rfl
left
simpa using w₂
· right
contrapose! w₂
refine digits_zero_of_eq_zero h.ne_bot w₂ _ ?_
rw [List.getLast_cons h']
exact List.getLast_mem h'
theorem ofDigits_digits (b n : ℕ) : ofDigits b (digits b n) = n := by
rcases b with - | b
· rcases n with - | n
· rfl
· simp
· rcases b with - | b
· induction' n with n ih
· rfl
· rw [Nat.zero_add] at ih ⊢
simp only [ih, add_comm 1, ofDigits_one_cons, Nat.cast_id, digits_one_succ]
· induction n using Nat.strongRecOn with | ind n h => ?_
cases n
· rw [digits_zero]
rfl
· simp only [Nat.succ_eq_add_one, digits_add_two_add_one]
dsimp [ofDigits]
rw [h _ (Nat.div_lt_self' _ b)]
rw [Nat.mod_add_div]
theorem ofDigits_one (L : List ℕ) : ofDigits 1 L = L.sum := by
induction L with
| nil => rfl
| cons _ _ ih => simp [ofDigits, List.sum_cons, ih]
/-!
### Properties
This section contains various lemmas of properties relating to `digits` and `ofDigits`.
-/
theorem digits_eq_nil_iff_eq_zero {b n : ℕ} : digits b n = [] ↔ n = 0 := by
constructor
· intro h
have : ofDigits b (digits b n) = ofDigits b [] := by rw [h]
convert this
rw [ofDigits_digits]
· rintro rfl
simp
theorem digits_ne_nil_iff_ne_zero {b n : ℕ} : digits b n ≠ [] ↔ n ≠ 0 :=
not_congr digits_eq_nil_iff_eq_zero
theorem digits_eq_cons_digits_div {b n : ℕ} (h : 1 < b) (w : n ≠ 0) :
digits b n = (n % b) :: digits b (n / b) := by
rcases b with (_ | _ | b)
· rw [digits_zero_succ' w, Nat.mod_zero, Nat.div_zero, Nat.digits_zero_zero]
· norm_num at h
rcases n with (_ | n)
· norm_num at w
· simp only [digits_add_two_add_one, ne_eq]
theorem digits_getLast {b : ℕ} (m : ℕ) (h : 1 < b) (p q) :
(digits b m).getLast p = (digits b (m / b)).getLast q := by
by_cases hm : m = 0
· simp [hm]
simp only [digits_eq_cons_digits_div h hm]
rw [List.getLast_cons]
theorem digits.injective (b : ℕ) : Function.Injective b.digits :=
Function.LeftInverse.injective (ofDigits_digits b)
@[simp]
theorem digits_inj_iff {b n m : ℕ} : b.digits n = b.digits m ↔ n = m :=
(digits.injective b).eq_iff
theorem digits_len (b n : ℕ) (hb : 1 < b) (hn : n ≠ 0) : (b.digits n).length = b.log n + 1 := by
induction' n using Nat.strong_induction_on with n IH
rw [digits_eq_cons_digits_div hb hn, List.length]
by_cases h : n / b = 0
· simp [IH, h]
aesop
· have : n / b < n := div_lt_self (Nat.pos_of_ne_zero hn) hb
rw [IH _ this h, log_div_base, tsub_add_cancel_of_le]
refine Nat.succ_le_of_lt (log_pos hb ?_)
contrapose! h
exact div_eq_of_lt h
theorem getLast_digit_ne_zero (b : ℕ) {m : ℕ} (hm : m ≠ 0) :
(digits b m).getLast (digits_ne_nil_iff_ne_zero.mpr hm) ≠ 0 := by
rcases b with (_ | _ | b)
· cases m
· cases hm rfl
· simp
· cases m
· cases hm rfl
rename ℕ => m
simp only [zero_add, digits_one, List.getLast_replicate_succ m 1]
exact Nat.one_ne_zero
revert hm
induction m using Nat.strongRecOn with | ind n IH => ?_
intro hn
by_cases hnb : n < b + 2
· simpa only [digits_of_lt (b + 2) n hn hnb]
· rw [digits_getLast n (le_add_left 2 b)]
refine IH _ (Nat.div_lt_self hn.bot_lt (one_lt_succ_succ b)) ?_
rw [← pos_iff_ne_zero]
exact Nat.div_pos (le_of_not_lt hnb) (zero_lt_succ (succ b))
theorem mul_ofDigits (n : ℕ) {b : ℕ} {l : List ℕ} :
n * ofDigits b l = ofDigits b (l.map (n * ·)) := by
induction l with
| nil => rfl
| cons hd tl ih =>
rw [List.map_cons, ofDigits_cons, ofDigits_cons, ← ih]
ring
lemma ofDigits_inj_of_len_eq {b : ℕ} (hb : 1 < b) {L1 L2 : List ℕ}
(len : L1.length = L2.length) (w1 : ∀ l ∈ L1, l < b) (w2 : ∀ l ∈ L2, l < b)
(h : ofDigits b L1 = ofDigits b L2) : L1 = L2 := by
induction' L1 with D L ih generalizing L2
· simp only [List.length_nil] at len
exact (List.length_eq_zero_iff.mp len.symm).symm
obtain ⟨d, l, rfl⟩ := List.exists_cons_of_length_eq_add_one len.symm
simp only [List.length_cons, add_left_inj] at len
simp only [ofDigits_cons] at h
have eqd : D = d := by
have H : (D + b * ofDigits b L) % b = (d + b * ofDigits b l) % b := by rw [h]
simpa [mod_eq_of_lt (w2 d List.mem_cons_self),
mod_eq_of_lt (w1 D List.mem_cons_self)] using H
simp only [eqd, add_right_inj, mul_left_cancel_iff_of_pos (zero_lt_of_lt hb)] at h
have := ih len (fun a ha ↦ w1 a <| List.mem_cons_of_mem D ha)
(fun a ha ↦ w2 a <| List.mem_cons_of_mem d ha) h
rw [eqd, this]
/-- The addition of ofDigits of two lists is equal to ofDigits of digit-wise addition of them -/
theorem ofDigits_add_ofDigits_eq_ofDigits_zipWith_of_length_eq {b : ℕ} {l1 l2 : List ℕ}
(h : l1.length = l2.length) :
ofDigits b l1 + ofDigits b l2 = ofDigits b (l1.zipWith (· + ·) l2) := by
induction l1 generalizing l2 with
| nil => simp_all [eq_comm, List.length_eq_zero_iff, ofDigits]
| cons hd₁ tl₁ ih₁ =>
induction l2 generalizing tl₁ with
| nil => simp_all
| cons hd₂ tl₂ ih₂ =>
simp_all only [List.length_cons, succ_eq_add_one, ofDigits_cons, add_left_inj,
eq_comm, List.zipWith_cons_cons, add_eq]
rw [← ih₁ h.symm, mul_add]
ac_rfl
/-- The digits in the base b+2 expansion of n are all less than b+2 -/
theorem digits_lt_base' {b m : ℕ} : ∀ {d}, d ∈ digits (b + 2) m → d < b + 2 := by
induction m using Nat.strongRecOn with | ind n IH => ?_
intro d hd
rcases n with - | n
· rw [digits_zero] at hd
cases hd
-- base b+2 expansion of 0 has no digits
rw [digits_add_two_add_one] at hd
cases hd
· exact n.succ.mod_lt (by linarith)
· apply IH ((n + 1) / (b + 2))
· apply Nat.div_lt_self <;> omega
· assumption
/-- The digits in the base b expansion of n are all less than b, if b ≥ 2 -/
theorem digits_lt_base {b m d : ℕ} (hb : 1 < b) (hd : d ∈ digits b m) : d < b := by
rcases b with (_ | _ | b) <;> try simp_all
exact digits_lt_base' hd
/-- an n-digit number in base b + 2 is less than (b + 2)^n -/
theorem ofDigits_lt_base_pow_length' {b : ℕ} {l : List ℕ} (hl : ∀ x ∈ l, x < b + 2) :
ofDigits (b + 2) l < (b + 2) ^ l.length := by
induction' l with hd tl IH
· simp [ofDigits]
· rw [ofDigits, List.length_cons, pow_succ]
have : (ofDigits (b + 2) tl + 1) * (b + 2) ≤ (b + 2) ^ tl.length * (b + 2) :=
mul_le_mul (IH fun x hx => hl _ (List.mem_cons_of_mem _ hx)) (by rfl) (by simp only [zero_le])
(Nat.zero_le _)
suffices ↑hd < b + 2 by linarith
exact hl hd List.mem_cons_self
/-- an n-digit number in base b is less than b^n if b > 1 -/
theorem ofDigits_lt_base_pow_length {b : ℕ} {l : List ℕ} (hb : 1 < b) (hl : ∀ x ∈ l, x < b) :
ofDigits b l < b ^ l.length := by
rcases b with (_ | _ | b) <;> try simp_all
exact ofDigits_lt_base_pow_length' hl
/-- Any number m is less than (b+2)^(number of digits in the base b + 2 representation of m) -/
theorem lt_base_pow_length_digits' {b m : ℕ} : m < (b + 2) ^ (digits (b + 2) m).length := by
convert @ofDigits_lt_base_pow_length' b (digits (b + 2) m) fun _ => digits_lt_base'
rw [ofDigits_digits (b + 2) m]
/-- Any number m is less than b^(number of digits in the base b representation of m) -/
theorem lt_base_pow_length_digits {b m : ℕ} (hb : 1 < b) : m < b ^ (digits b m).length := by
rcases b with (_ | _ | b) <;> try simp_all
exact lt_base_pow_length_digits'
theorem digits_base_pow_mul {b k m : ℕ} (hb : 1 < b) (hm : 0 < m) :
digits b (b ^ k * m) = List.replicate k 0 ++ digits b m := by
induction k generalizing m with
| zero => simp
| succ k ih =>
have hmb : 0 < m * b := lt_mul_of_lt_of_one_lt' hm hb
let h1 := digits_def' hb hmb
have h2 : m = m * b / b :=
Nat.eq_div_of_mul_eq_left (ne_zero_of_lt hb) rfl
simp only [mul_mod_left, ← h2] at h1
rw [List.replicate_succ', List.append_assoc, List.singleton_append, ← h1, ← ih hmb]
ring_nf
theorem ofDigits_digits_append_digits {b m n : ℕ} :
ofDigits b (digits b n ++ digits b m) = n + b ^ (digits b n).length * m := by
rw [ofDigits_append, ofDigits_digits, ofDigits_digits]
theorem digits_append_digits {b m n : ℕ} (hb : 0 < b) :
digits b n ++ digits b m = digits b (n + b ^ (digits b n).length * m) := by
rcases eq_or_lt_of_le (Nat.succ_le_of_lt hb) with (rfl | hb)
· simp
rw [← ofDigits_digits_append_digits]
refine (digits_ofDigits b hb _ (fun l hl => ?_) (fun h_append => ?_)).symm
· rcases (List.mem_append.mp hl) with (h | h) <;> exact digits_lt_base hb h
· by_cases h : digits b m = []
· simp only [h, List.append_nil] at h_append ⊢
exact getLast_digit_ne_zero b <| digits_ne_nil_iff_ne_zero.mp h_append
· exact (List.getLast_append_of_right_ne_nil _ _ h) ▸
(getLast_digit_ne_zero _ <| digits_ne_nil_iff_ne_zero.mp h)
theorem digits_append_zeroes_append_digits {b k m n : ℕ} (hb : 1 < b) (hm : 0 < m) :
digits b n ++ List.replicate k 0 ++ digits b m =
digits b (n + b ^ ((digits b n).length + k) * m) := by
rw [List.append_assoc, ← digits_base_pow_mul hb hm]
simp only [digits_append_digits (zero_lt_of_lt hb), digits_inj_iff, add_right_inj]
ring
theorem digits_len_le_digits_len_succ (b n : ℕ) :
(digits b n).length ≤ (digits b (n + 1)).length := by
rcases Decidable.eq_or_ne n 0 with (rfl | hn)
· simp
rcases le_or_lt b 1 with hb | hb
· interval_cases b <;> simp +arith [digits_zero_succ', hn]
simpa [digits_len, hb, hn] using log_mono_right (le_succ _)
theorem le_digits_len_le (b n m : ℕ) (h : n ≤ m) : (digits b n).length ≤ (digits b m).length :=
monotone_nat_of_le_succ (digits_len_le_digits_len_succ b) h
@[mono]
theorem ofDigits_monotone {p q : ℕ} (L : List ℕ) (h : p ≤ q) : ofDigits p L ≤ ofDigits q L := by
induction L with
| nil => rfl
| cons _ _ hi =>
simp only [ofDigits, cast_id, add_le_add_iff_left]
exact Nat.mul_le_mul h hi
theorem sum_le_ofDigits {p : ℕ} (L : List ℕ) (h : 1 ≤ p) : L.sum ≤ ofDigits p L :=
(ofDigits_one L).symm ▸ ofDigits_monotone L h
theorem digit_sum_le (p n : ℕ) : List.sum (digits p n) ≤ n := by
induction' n with n
· exact digits_zero _ ▸ Nat.le_refl (List.sum [])
· induction' p with p
· rw [digits_zero_succ, List.sum_cons, List.sum_nil, add_zero]
· nth_rw 2 [← ofDigits_digits p.succ (n + 1)]
rw [← ofDigits_one <| digits p.succ n.succ]
exact ofDigits_monotone (digits p.succ n.succ) <| Nat.succ_pos p
theorem pow_length_le_mul_ofDigits {b : ℕ} {l : List ℕ} (hl : l ≠ []) (hl2 : l.getLast hl ≠ 0) :
(b + 2) ^ l.length ≤ (b + 2) * ofDigits (b + 2) l := by
rw [← List.dropLast_append_getLast hl]
simp only [List.length_append, List.length, zero_add, List.length_dropLast, ofDigits_append,
List.length_dropLast, ofDigits_singleton, add_comm (l.length - 1), pow_add, pow_one]
apply Nat.mul_le_mul_left
refine le_trans ?_ (Nat.le_add_left _ _)
have : 0 < l.getLast hl := by rwa [pos_iff_ne_zero]
convert Nat.mul_le_mul_left ((b + 2) ^ (l.length - 1)) this using 1
rw [Nat.mul_one]
/-- Any non-zero natural number `m` is greater than
(b+2)^((number of digits in the base (b+2) representation of m) - 1)
-/
theorem base_pow_length_digits_le' (b m : ℕ) (hm : m ≠ 0) :
(b + 2) ^ (digits (b + 2) m).length ≤ (b + 2) * m := by
have : digits (b + 2) m ≠ [] := digits_ne_nil_iff_ne_zero.mpr hm
convert @pow_length_le_mul_ofDigits b (digits (b+2) m)
this (getLast_digit_ne_zero _ hm)
rw [ofDigits_digits]
/-- Any non-zero natural number `m` is greater than
b^((number of digits in the base b representation of m) - 1)
-/
theorem base_pow_length_digits_le (b m : ℕ) (hb : 1 < b) :
m ≠ 0 → b ^ (digits b m).length ≤ b * m := by
rcases b with (_ | _ | b) <;> try simp_all
exact base_pow_length_digits_le' b m
/-- Interpreting as a base `p` number and dividing by `p` is the same as interpreting the tail.
-/
| lemma ofDigits_div_eq_ofDigits_tail {p : ℕ} (hpos : 0 < p) (digits : List ℕ)
(w₁ : ∀ l ∈ digits, l < p) : ofDigits p digits / p = ofDigits p digits.tail := by
induction' digits with hd tl
· simp [ofDigits]
· refine Eq.trans (add_mul_div_left hd _ hpos) ?_
rw [Nat.div_eq_of_lt <| w₁ _ List.mem_cons_self, zero_add]
| Mathlib/Data/Nat/Digits.lean | 523 | 528 |
/-
Copyright (c) 2023 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Integral.Bochner.Basic
import Mathlib.Topology.ContinuousMap.Bounded.Normed
/-!
# Integration of bounded continuous functions
In this file, some results are collected about integrals of bounded continuous functions. They are
mostly specializations of results in general integration theory, but they are used directly in this
specialized form in some other files, in particular in those related to the topology of weak
convergence of probability measures and finite measures.
-/
open MeasureTheory Filter
open scoped ENNReal NNReal BoundedContinuousFunction Topology
namespace BoundedContinuousFunction
section NNRealValued
lemma apply_le_nndist_zero {X : Type*} [TopologicalSpace X] (f : X →ᵇ ℝ≥0) (x : X) :
f x ≤ nndist 0 f := by
convert nndist_coe_le_nndist x
simp only [coe_zero, Pi.zero_apply, NNReal.nndist_zero_eq_val]
variable {X : Type*} [MeasurableSpace X] [TopologicalSpace X]
lemma lintegral_le_edist_mul (f : X →ᵇ ℝ≥0) (μ : Measure X) :
(∫⁻ x, f x ∂μ) ≤ edist 0 f * (μ Set.univ) :=
le_trans (lintegral_mono (fun x ↦ ENNReal.coe_le_coe.mpr (f.apply_le_nndist_zero x))) (by simp)
theorem measurable_coe_ennreal_comp [OpensMeasurableSpace X] (f : X →ᵇ ℝ≥0) :
Measurable fun x ↦ (f x : ℝ≥0∞) :=
measurable_coe_nnreal_ennreal.comp f.continuous.measurable
variable (μ : Measure X) [IsFiniteMeasure μ]
theorem lintegral_lt_top_of_nnreal (f : X →ᵇ ℝ≥0) : ∫⁻ x, f x ∂μ < ∞ := by
apply IsFiniteMeasure.lintegral_lt_top_of_bounded_to_ennreal
refine ⟨nndist f 0, fun x ↦ ?_⟩
have key := BoundedContinuousFunction.NNReal.upper_bound f x
rwa [ENNReal.coe_le_coe]
theorem integrable_of_nnreal [OpensMeasurableSpace X] (f : X →ᵇ ℝ≥0) :
Integrable (((↑) : ℝ≥0 → ℝ) ∘ ⇑f) μ := by
refine ⟨(NNReal.continuous_coe.comp f.continuous).measurable.aestronglyMeasurable, ?_⟩
simp only [hasFiniteIntegral_iff_enorm, Function.comp_apply, NNReal.enorm_eq]
exact lintegral_lt_top_of_nnreal _ f
theorem integral_eq_integral_nnrealPart_sub [OpensMeasurableSpace X] (f : X →ᵇ ℝ) :
∫ x, f x ∂μ = (∫ x, (f.nnrealPart x : ℝ) ∂μ) - ∫ x, ((-f).nnrealPart x : ℝ) ∂μ := by
simp only [f.self_eq_nnrealPart_sub_nnrealPart_neg, Pi.sub_apply, integral_sub,
integrable_of_nnreal]
simp only [Function.comp_apply]
theorem lintegral_of_real_lt_top (f : X →ᵇ ℝ) :
∫⁻ x, ENNReal.ofReal (f x) ∂μ < ∞ := lintegral_lt_top_of_nnreal _ f.nnrealPart
theorem toReal_lintegral_coe_eq_integral [OpensMeasurableSpace X] (f : X →ᵇ ℝ≥0) (μ : Measure X) :
(∫⁻ x, (f x : ℝ≥0∞) ∂μ).toReal = ∫ x, (f x : ℝ) ∂μ := by
rw [integral_eq_lintegral_of_nonneg_ae _ (by simpa [Function.comp_apply] using
(NNReal.continuous_coe.comp f.continuous).measurable.aestronglyMeasurable)]
· simp only [ENNReal.ofReal_coe_nnreal]
· exact Eventually.of_forall (by simp only [Pi.zero_apply, NNReal.zero_le_coe, imp_true_iff])
end NNRealValued
section BochnerIntegral
variable {X : Type*} [MeasurableSpace X] [TopologicalSpace X]
variable (μ : Measure X)
variable {E : Type*} [NormedAddCommGroup E]
lemma lintegral_nnnorm_le (f : X →ᵇ E) :
∫⁻ x, ‖f x‖₊ ∂μ ≤ ‖f‖₊ * (μ Set.univ) := by
calc ∫⁻ x, ‖f x‖₊ ∂μ
_ ≤ ∫⁻ _, ‖f‖₊ ∂μ := by gcongr; apply nnnorm_coe_le_nnnorm
_ = ‖f‖₊ * (μ Set.univ) := by rw [lintegral_const]
variable [OpensMeasurableSpace X] [SecondCountableTopology E] [MeasurableSpace E] [BorelSpace E]
lemma integrable [IsFiniteMeasure μ] (f : X →ᵇ E) :
Integrable f μ := by
refine ⟨f.continuous.measurable.aestronglyMeasurable, (hasFiniteIntegral_def _ _).mp ?_⟩
calc ∫⁻ x, ‖f x‖₊ ∂μ
_ ≤ ‖f‖₊ * (μ Set.univ) := f.lintegral_nnnorm_le μ
_ < ∞ := ENNReal.mul_lt_top ENNReal.coe_lt_top (measure_lt_top μ Set.univ)
variable [NormedSpace ℝ E]
lemma norm_integral_le_mul_norm [IsFiniteMeasure μ] (f : X →ᵇ E) :
‖∫ x, f x ∂μ‖ ≤ μ.real Set.univ * ‖f‖ := by
calc ‖∫ x, f x ∂μ‖
_ ≤ ∫ x, ‖f x‖ ∂μ := norm_integral_le_integral_norm _
_ ≤ ∫ _, ‖f‖ ∂μ := ?_
_ = μ.real Set.univ • ‖f‖ := by rw [integral_const]
apply integral_mono _ (integrable_const ‖f‖) (fun x ↦ f.norm_coe_le_norm x) -- NOTE: `gcongr`?
exact (integrable_norm_iff f.continuous.measurable.aestronglyMeasurable).mpr (f.integrable μ)
lemma norm_integral_le_norm [IsProbabilityMeasure μ] (f : X →ᵇ E) :
‖∫ x, f x ∂μ‖ ≤ ‖f‖ := by
convert f.norm_integral_le_mul_norm μ
simp
|
lemma isBounded_range_integral
{ι : Type*} (μs : ι → Measure X) [∀ i, IsProbabilityMeasure (μs i)] (f : X →ᵇ E) :
Bornology.IsBounded (Set.range (fun i ↦ ∫ x, f x ∂ (μs i))) := by
| Mathlib/MeasureTheory/Integral/BoundedContinuousFunction.lean | 108 | 111 |
/-
Copyright (c) 2019 Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sébastien Gouëzel, Yury Kudryashov, David Loeffler
-/
import Mathlib.Analysis.Convex.Slope
import Mathlib.Analysis.Calculus.Deriv.MeanValue
/-!
# Convexity of functions and derivatives
Here we relate convexity of functions `ℝ → ℝ` to properties of their derivatives.
## Main results
* `MonotoneOn.convexOn_of_deriv`, `convexOn_of_deriv2_nonneg` : if the derivative of a function
is increasing or its second derivative is nonnegative, then the original function is convex.
* `ConvexOn.monotoneOn_deriv`: if a function is convex and differentiable, then its derivative is
monotone.
-/
open Metric Set Asymptotics ContinuousLinearMap Filter
open scoped Topology NNReal
/-!
## Monotonicity of `f'` implies convexity of `f`
-/
/-- If a function `f` is continuous on a convex set `D ⊆ ℝ`, is differentiable on its interior,
and `f'` is monotone on the interior, then `f` is convex on `D`. -/
theorem MonotoneOn.convexOn_of_deriv {D : Set ℝ} (hD : Convex ℝ D) {f : ℝ → ℝ}
(hf : ContinuousOn f D) (hf' : DifferentiableOn ℝ f (interior D))
(hf'_mono : MonotoneOn (deriv f) (interior D)) : ConvexOn ℝ D f :=
convexOn_of_slope_mono_adjacent hD
(by
intro x y z hx hz hxy hyz
-- First we prove some trivial inclusions
have hxzD : Icc x z ⊆ D := hD.ordConnected.out hx hz
have hxyD : Icc x y ⊆ D := (Icc_subset_Icc_right hyz.le).trans hxzD
have hxyD' : Ioo x y ⊆ interior D :=
subset_sUnion_of_mem ⟨isOpen_Ioo, Ioo_subset_Icc_self.trans hxyD⟩
have hyzD : Icc y z ⊆ D := (Icc_subset_Icc_left hxy.le).trans hxzD
have hyzD' : Ioo y z ⊆ interior D :=
subset_sUnion_of_mem ⟨isOpen_Ioo, Ioo_subset_Icc_self.trans hyzD⟩
-- Then we apply MVT to both `[x, y]` and `[y, z]`
obtain ⟨a, ⟨hxa, hay⟩, ha⟩ : ∃ a ∈ Ioo x y, deriv f a = (f y - f x) / (y - x) :=
exists_deriv_eq_slope f hxy (hf.mono hxyD) (hf'.mono hxyD')
obtain ⟨b, ⟨hyb, hbz⟩, hb⟩ : ∃ b ∈ Ioo y z, deriv f b = (f z - f y) / (z - y) :=
exists_deriv_eq_slope f hyz (hf.mono hyzD) (hf'.mono hyzD')
rw [← ha, ← hb]
exact hf'_mono (hxyD' ⟨hxa, hay⟩) (hyzD' ⟨hyb, hbz⟩) (hay.trans hyb).le)
/-- If a function `f` is continuous on a convex set `D ⊆ ℝ`, is differentiable on its interior,
and `f'` is antitone on the interior, then `f` is concave on `D`. -/
theorem AntitoneOn.concaveOn_of_deriv {D : Set ℝ} (hD : Convex ℝ D) {f : ℝ → ℝ}
(hf : ContinuousOn f D) (hf' : DifferentiableOn ℝ f (interior D))
(h_anti : AntitoneOn (deriv f) (interior D)) : ConcaveOn ℝ D f :=
haveI : MonotoneOn (deriv (-f)) (interior D) := by
simpa only [← deriv.neg] using h_anti.neg
neg_convexOn_iff.mp (this.convexOn_of_deriv hD hf.neg hf'.neg)
theorem StrictMonoOn.exists_slope_lt_deriv_aux {x y : ℝ} {f : ℝ → ℝ} (hf : ContinuousOn f (Icc x y))
(hxy : x < y) (hf'_mono : StrictMonoOn (deriv f) (Ioo x y)) (h : ∀ w ∈ Ioo x y, deriv f w ≠ 0) :
∃ a ∈ Ioo x y, (f y - f x) / (y - x) < deriv f a := by
have A : DifferentiableOn ℝ f (Ioo x y) := fun w wmem =>
(differentiableAt_of_deriv_ne_zero (h w wmem)).differentiableWithinAt
obtain ⟨a, ⟨hxa, hay⟩, ha⟩ : ∃ a ∈ Ioo x y, deriv f a = (f y - f x) / (y - x) :=
exists_deriv_eq_slope f hxy hf A
rcases nonempty_Ioo.2 hay with ⟨b, ⟨hab, hby⟩⟩
refine ⟨b, ⟨hxa.trans hab, hby⟩, ?_⟩
rw [← ha]
exact hf'_mono ⟨hxa, hay⟩ ⟨hxa.trans hab, hby⟩ hab
theorem StrictMonoOn.exists_slope_lt_deriv {x y : ℝ} {f : ℝ → ℝ} (hf : ContinuousOn f (Icc x y))
(hxy : x < y) (hf'_mono : StrictMonoOn (deriv f) (Ioo x y)) :
∃ a ∈ Ioo x y, (f y - f x) / (y - x) < deriv f a := by
by_cases h : ∀ w ∈ Ioo x y, deriv f w ≠ 0
· apply StrictMonoOn.exists_slope_lt_deriv_aux hf hxy hf'_mono h
· push_neg at h
rcases h with ⟨w, ⟨hxw, hwy⟩, hw⟩
obtain ⟨a, ⟨hxa, haw⟩, ha⟩ : ∃ a ∈ Ioo x w, (f w - f x) / (w - x) < deriv f a := by
apply StrictMonoOn.exists_slope_lt_deriv_aux _ hxw _ _
· exact hf.mono (Icc_subset_Icc le_rfl hwy.le)
· exact hf'_mono.mono (Ioo_subset_Ioo le_rfl hwy.le)
· intro z hz
rw [← hw]
apply ne_of_lt
exact hf'_mono ⟨hz.1, hz.2.trans hwy⟩ ⟨hxw, hwy⟩ hz.2
obtain ⟨b, ⟨hwb, hby⟩, hb⟩ : ∃ b ∈ Ioo w y, (f y - f w) / (y - w) < deriv f b := by
apply StrictMonoOn.exists_slope_lt_deriv_aux _ hwy _ _
· refine hf.mono (Icc_subset_Icc hxw.le le_rfl)
· exact hf'_mono.mono (Ioo_subset_Ioo hxw.le le_rfl)
· intro z hz
rw [← hw]
apply ne_of_gt
exact hf'_mono ⟨hxw, hwy⟩ ⟨hxw.trans hz.1, hz.2⟩ hz.1
refine ⟨b, ⟨hxw.trans hwb, hby⟩, ?_⟩
simp only [div_lt_iff₀, hxy, hxw, hwy, sub_pos] at ha hb ⊢
have : deriv f a * (w - x) < deriv f b * (w - x) := by
apply mul_lt_mul _ le_rfl (sub_pos.2 hxw) _
· exact hf'_mono ⟨hxa, haw.trans hwy⟩ ⟨hxw.trans hwb, hby⟩ (haw.trans hwb)
· rw [← hw]
exact (hf'_mono ⟨hxw, hwy⟩ ⟨hxw.trans hwb, hby⟩ hwb).le
linarith
theorem StrictMonoOn.exists_deriv_lt_slope_aux {x y : ℝ} {f : ℝ → ℝ} (hf : ContinuousOn f (Icc x y))
(hxy : x < y) (hf'_mono : StrictMonoOn (deriv f) (Ioo x y)) (h : ∀ w ∈ Ioo x y, deriv f w ≠ 0) :
∃ a ∈ Ioo x y, deriv f a < (f y - f x) / (y - x) := by
have A : DifferentiableOn ℝ f (Ioo x y) := fun w wmem =>
(differentiableAt_of_deriv_ne_zero (h w wmem)).differentiableWithinAt
obtain ⟨a, ⟨hxa, hay⟩, ha⟩ : ∃ a ∈ Ioo x y, deriv f a = (f y - f x) / (y - x) :=
exists_deriv_eq_slope f hxy hf A
rcases nonempty_Ioo.2 hxa with ⟨b, ⟨hxb, hba⟩⟩
refine ⟨b, ⟨hxb, hba.trans hay⟩, ?_⟩
rw [← ha]
exact hf'_mono ⟨hxb, hba.trans hay⟩ ⟨hxa, hay⟩ hba
theorem StrictMonoOn.exists_deriv_lt_slope {x y : ℝ} {f : ℝ → ℝ} (hf : ContinuousOn f (Icc x y))
(hxy : x < y) (hf'_mono : StrictMonoOn (deriv f) (Ioo x y)) :
∃ a ∈ Ioo x y, deriv f a < (f y - f x) / (y - x) := by
by_cases h : ∀ w ∈ Ioo x y, deriv f w ≠ 0
· apply StrictMonoOn.exists_deriv_lt_slope_aux hf hxy hf'_mono h
· push_neg at h
rcases h with ⟨w, ⟨hxw, hwy⟩, hw⟩
obtain ⟨a, ⟨hxa, haw⟩, ha⟩ : ∃ a ∈ Ioo x w, deriv f a < (f w - f x) / (w - x) := by
apply StrictMonoOn.exists_deriv_lt_slope_aux _ hxw _ _
· exact hf.mono (Icc_subset_Icc le_rfl hwy.le)
· exact hf'_mono.mono (Ioo_subset_Ioo le_rfl hwy.le)
· intro z hz
rw [← hw]
apply ne_of_lt
exact hf'_mono ⟨hz.1, hz.2.trans hwy⟩ ⟨hxw, hwy⟩ hz.2
obtain ⟨b, ⟨hwb, hby⟩, hb⟩ : ∃ b ∈ Ioo w y, deriv f b < (f y - f w) / (y - w) := by
apply StrictMonoOn.exists_deriv_lt_slope_aux _ hwy _ _
· refine hf.mono (Icc_subset_Icc hxw.le le_rfl)
· exact hf'_mono.mono (Ioo_subset_Ioo hxw.le le_rfl)
· intro z hz
rw [← hw]
apply ne_of_gt
exact hf'_mono ⟨hxw, hwy⟩ ⟨hxw.trans hz.1, hz.2⟩ hz.1
refine ⟨a, ⟨hxa, haw.trans hwy⟩, ?_⟩
simp only [lt_div_iff₀, hxy, hxw, hwy, sub_pos] at ha hb ⊢
have : deriv f a * (y - w) < deriv f b * (y - w) := by
apply mul_lt_mul _ le_rfl (sub_pos.2 hwy) _
· exact hf'_mono ⟨hxa, haw.trans hwy⟩ ⟨hxw.trans hwb, hby⟩ (haw.trans hwb)
· rw [← hw]
exact (hf'_mono ⟨hxw, hwy⟩ ⟨hxw.trans hwb, hby⟩ hwb).le
linarith
/-- If a function `f` is continuous on a convex set `D ⊆ ℝ`, and `f'` is strictly monotone on the
interior, then `f` is strictly convex on `D`.
Note that we don't require differentiability, since it is guaranteed at all but at most
one point by the strict monotonicity of `f'`. -/
theorem StrictMonoOn.strictConvexOn_of_deriv {D : Set ℝ} (hD : Convex ℝ D) {f : ℝ → ℝ}
(hf : ContinuousOn f D) (hf' : StrictMonoOn (deriv f) (interior D)) : StrictConvexOn ℝ D f :=
strictConvexOn_of_slope_strict_mono_adjacent hD fun {x y z} hx hz hxy hyz => by
-- First we prove some trivial inclusions
have hxzD : Icc x z ⊆ D := hD.ordConnected.out hx hz
have hxyD : Icc x y ⊆ D := (Icc_subset_Icc_right hyz.le).trans hxzD
have hxyD' : Ioo x y ⊆ interior D :=
subset_sUnion_of_mem ⟨isOpen_Ioo, Ioo_subset_Icc_self.trans hxyD⟩
have hyzD : Icc y z ⊆ D := (Icc_subset_Icc_left hxy.le).trans hxzD
have hyzD' : Ioo y z ⊆ interior D :=
subset_sUnion_of_mem ⟨isOpen_Ioo, Ioo_subset_Icc_self.trans hyzD⟩
-- Then we get points `a` and `b` in each interval `[x, y]` and `[y, z]` where the derivatives
-- can be compared to the slopes between `x, y` and `y, z` respectively.
obtain ⟨a, ⟨hxa, hay⟩, ha⟩ : ∃ a ∈ Ioo x y, (f y - f x) / (y - x) < deriv f a :=
StrictMonoOn.exists_slope_lt_deriv (hf.mono hxyD) hxy (hf'.mono hxyD')
obtain ⟨b, ⟨hyb, hbz⟩, hb⟩ : ∃ b ∈ Ioo y z, deriv f b < (f z - f y) / (z - y) :=
StrictMonoOn.exists_deriv_lt_slope (hf.mono hyzD) hyz (hf'.mono hyzD')
apply ha.trans (lt_trans _ hb)
exact hf' (hxyD' ⟨hxa, hay⟩) (hyzD' ⟨hyb, hbz⟩) (hay.trans hyb)
/-- If a function `f` is continuous on a convex set `D ⊆ ℝ` and `f'` is strictly antitone on the
interior, then `f` is strictly concave on `D`.
Note that we don't require differentiability, since it is guaranteed at all but at most
one point by the strict antitonicity of `f'`. -/
theorem StrictAntiOn.strictConcaveOn_of_deriv {D : Set ℝ} (hD : Convex ℝ D) {f : ℝ → ℝ}
(hf : ContinuousOn f D) (h_anti : StrictAntiOn (deriv f) (interior D)) :
StrictConcaveOn ℝ D f :=
have : StrictMonoOn (deriv (-f)) (interior D) := by simpa only [← deriv.neg] using h_anti.neg
neg_neg f ▸ (this.strictConvexOn_of_deriv hD hf.neg).neg
/-- If a function `f` is differentiable and `f'` is monotone on `ℝ` then `f` is convex. -/
theorem Monotone.convexOn_univ_of_deriv {f : ℝ → ℝ} (hf : Differentiable ℝ f)
(hf'_mono : Monotone (deriv f)) : ConvexOn ℝ univ f :=
(hf'_mono.monotoneOn _).convexOn_of_deriv convex_univ hf.continuous.continuousOn
hf.differentiableOn
/-- If a function `f` is differentiable and `f'` is antitone on `ℝ` then `f` is concave. -/
theorem Antitone.concaveOn_univ_of_deriv {f : ℝ → ℝ} (hf : Differentiable ℝ f)
(hf'_anti : Antitone (deriv f)) : ConcaveOn ℝ univ f :=
(hf'_anti.antitoneOn _).concaveOn_of_deriv convex_univ hf.continuous.continuousOn
hf.differentiableOn
/-- If a function `f` is continuous and `f'` is strictly monotone on `ℝ` then `f` is strictly
convex. Note that we don't require differentiability, since it is guaranteed at all but at most
one point by the strict monotonicity of `f'`. -/
theorem StrictMono.strictConvexOn_univ_of_deriv {f : ℝ → ℝ} (hf : Continuous f)
(hf'_mono : StrictMono (deriv f)) : StrictConvexOn ℝ univ f :=
(hf'_mono.strictMonoOn _).strictConvexOn_of_deriv convex_univ hf.continuousOn
/-- If a function `f` is continuous and `f'` is strictly antitone on `ℝ` then `f` is strictly
concave. Note that we don't require differentiability, since it is guaranteed at all but at most
one point by the strict antitonicity of `f'`. -/
theorem StrictAnti.strictConcaveOn_univ_of_deriv {f : ℝ → ℝ} (hf : Continuous f)
(hf'_anti : StrictAnti (deriv f)) : StrictConcaveOn ℝ univ f :=
(hf'_anti.strictAntiOn _).strictConcaveOn_of_deriv convex_univ hf.continuousOn
/-- If a function `f` is continuous on a convex set `D ⊆ ℝ`, is twice differentiable on its
interior, and `f''` is nonnegative on the interior, then `f` is convex on `D`. -/
theorem convexOn_of_deriv2_nonneg {D : Set ℝ} (hD : Convex ℝ D) {f : ℝ → ℝ} (hf : ContinuousOn f D)
(hf' : DifferentiableOn ℝ f (interior D)) (hf'' : DifferentiableOn ℝ (deriv f) (interior D))
(hf''_nonneg : ∀ x ∈ interior D, 0 ≤ deriv^[2] f x) : ConvexOn ℝ D f :=
(monotoneOn_of_deriv_nonneg hD.interior hf''.continuousOn (by rwa [interior_interior]) <| by
rwa [interior_interior]).convexOn_of_deriv
hD hf hf'
/-- If a function `f` is continuous on a convex set `D ⊆ ℝ`, is twice differentiable on its
interior, and `f''` is nonpositive on the interior, then `f` is concave on `D`. -/
theorem concaveOn_of_deriv2_nonpos {D : Set ℝ} (hD : Convex ℝ D) {f : ℝ → ℝ} (hf : ContinuousOn f D)
(hf' : DifferentiableOn ℝ f (interior D)) (hf'' : DifferentiableOn ℝ (deriv f) (interior D))
(hf''_nonpos : ∀ x ∈ interior D, deriv^[2] f x ≤ 0) : ConcaveOn ℝ D f :=
(antitoneOn_of_deriv_nonpos hD.interior hf''.continuousOn (by rwa [interior_interior]) <| by
rwa [interior_interior]).concaveOn_of_deriv
hD hf hf'
/-- If a function `f` is continuous on a convex set `D ⊆ ℝ`, is twice differentiable on its
interior, and `f''` is nonnegative on the interior, then `f` is convex on `D`. -/
lemma convexOn_of_hasDerivWithinAt2_nonneg {D : Set ℝ} (hD : Convex ℝ D) {f f' f'' : ℝ → ℝ}
(hf : ContinuousOn f D) (hf' : ∀ x ∈ interior D, HasDerivWithinAt f (f' x) (interior D) x)
(hf'' : ∀ x ∈ interior D, HasDerivWithinAt f' (f'' x) (interior D) x)
(hf''₀ : ∀ x ∈ interior D, 0 ≤ f'' x) : ConvexOn ℝ D f := by
have : (interior D).EqOn (deriv f) f' := deriv_eqOn isOpen_interior hf'
refine convexOn_of_deriv2_nonneg hD hf (fun x hx ↦ (hf' _ hx).differentiableWithinAt) ?_ ?_
· rw [differentiableOn_congr this]
exact fun x hx ↦ (hf'' _ hx).differentiableWithinAt
· rintro x hx
convert hf''₀ _ hx using 1
dsimp
rw [deriv_eqOn isOpen_interior (fun y hy ↦ ?_) hx]
exact (hf'' _ hy).congr this <| by rw [this hy]
/-- If a function `f` is continuous on a convex set `D ⊆ ℝ`, is twice differentiable on its
interior, and `f''` is nonpositive on the interior, then `f` is concave on `D`. -/
lemma concaveOn_of_hasDerivWithinAt2_nonpos {D : Set ℝ} (hD : Convex ℝ D) {f f' f'' : ℝ → ℝ}
(hf : ContinuousOn f D) (hf' : ∀ x ∈ interior D, HasDerivWithinAt f (f' x) (interior D) x)
(hf'' : ∀ x ∈ interior D, HasDerivWithinAt f' (f'' x) (interior D) x)
(hf''₀ : ∀ x ∈ interior D, f'' x ≤ 0) : ConcaveOn ℝ D f := by
have : (interior D).EqOn (deriv f) f' := deriv_eqOn isOpen_interior hf'
refine concaveOn_of_deriv2_nonpos hD hf (fun x hx ↦ (hf' _ hx).differentiableWithinAt) ?_ ?_
· rw [differentiableOn_congr this]
exact fun x hx ↦ (hf'' _ hx).differentiableWithinAt
· rintro x hx
convert hf''₀ _ hx using 1
dsimp
rw [deriv_eqOn isOpen_interior (fun y hy ↦ ?_) hx]
exact (hf'' _ hy).congr this <| by rw [this hy]
/-- If a function `f` is continuous on a convex set `D ⊆ ℝ` and `f''` is strictly positive on the
interior, then `f` is strictly convex on `D`.
Note that we don't require twice differentiability explicitly as it is already implied by the second
derivative being strictly positive, except at at most one point. -/
theorem strictConvexOn_of_deriv2_pos {D : Set ℝ} (hD : Convex ℝ D) {f : ℝ → ℝ}
(hf : ContinuousOn f D) (hf'' : ∀ x ∈ interior D, 0 < (deriv^[2] f) x) :
StrictConvexOn ℝ D f :=
((strictMonoOn_of_deriv_pos hD.interior fun z hz =>
(differentiableAt_of_deriv_ne_zero
(hf'' z hz).ne').differentiableWithinAt.continuousWithinAt) <|
by rwa [interior_interior]).strictConvexOn_of_deriv
hD hf
/-- If a function `f` is continuous on a convex set `D ⊆ ℝ` and `f''` is strictly negative on the
interior, then `f` is strictly concave on `D`.
Note that we don't require twice differentiability explicitly as it already implied by the second
derivative being strictly negative, except at at most one point. -/
theorem strictConcaveOn_of_deriv2_neg {D : Set ℝ} (hD : Convex ℝ D) {f : ℝ → ℝ}
(hf : ContinuousOn f D) (hf'' : ∀ x ∈ interior D, deriv^[2] f x < 0) :
StrictConcaveOn ℝ D f :=
((strictAntiOn_of_deriv_neg hD.interior fun z hz =>
(differentiableAt_of_deriv_ne_zero
(hf'' z hz).ne).differentiableWithinAt.continuousWithinAt) <|
by rwa [interior_interior]).strictConcaveOn_of_deriv
hD hf
/-- If a function `f` is twice differentiable on an open convex set `D ⊆ ℝ` and
`f''` is nonnegative on `D`, then `f` is convex on `D`. -/
theorem convexOn_of_deriv2_nonneg' {D : Set ℝ} (hD : Convex ℝ D) {f : ℝ → ℝ}
(hf' : DifferentiableOn ℝ f D) (hf'' : DifferentiableOn ℝ (deriv f) D)
(hf''_nonneg : ∀ x ∈ D, 0 ≤ (deriv^[2] f) x) : ConvexOn ℝ D f :=
convexOn_of_deriv2_nonneg hD hf'.continuousOn (hf'.mono interior_subset)
(hf''.mono interior_subset) fun x hx => hf''_nonneg x (interior_subset hx)
/-- If a function `f` is twice differentiable on an open convex set `D ⊆ ℝ` and
`f''` is nonpositive on `D`, then `f` is concave on `D`. -/
theorem concaveOn_of_deriv2_nonpos' {D : Set ℝ} (hD : Convex ℝ D) {f : ℝ → ℝ}
(hf' : DifferentiableOn ℝ f D) (hf'' : DifferentiableOn ℝ (deriv f) D)
(hf''_nonpos : ∀ x ∈ D, deriv^[2] f x ≤ 0) : ConcaveOn ℝ D f :=
concaveOn_of_deriv2_nonpos hD hf'.continuousOn (hf'.mono interior_subset)
(hf''.mono interior_subset) fun x hx => hf''_nonpos x (interior_subset hx)
/-- If a function `f` is continuous on a convex set `D ⊆ ℝ` and `f''` is strictly positive on `D`,
then `f` is strictly convex on `D`.
Note that we don't require twice differentiability explicitly as it is already implied by the second
derivative being strictly positive, except at at most one point. -/
theorem strictConvexOn_of_deriv2_pos' {D : Set ℝ} (hD : Convex ℝ D) {f : ℝ → ℝ}
(hf : ContinuousOn f D) (hf'' : ∀ x ∈ D, 0 < (deriv^[2] f) x) : StrictConvexOn ℝ D f :=
strictConvexOn_of_deriv2_pos hD hf fun x hx => hf'' x (interior_subset hx)
/-- If a function `f` is continuous on a convex set `D ⊆ ℝ` and `f''` is strictly negative on `D`,
then `f` is strictly concave on `D`.
Note that we don't require twice differentiability explicitly as it is already implied by the second
derivative being strictly negative, except at at most one point. -/
theorem strictConcaveOn_of_deriv2_neg' {D : Set ℝ} (hD : Convex ℝ D) {f : ℝ → ℝ}
(hf : ContinuousOn f D) (hf'' : ∀ x ∈ D, deriv^[2] f x < 0) : StrictConcaveOn ℝ D f :=
strictConcaveOn_of_deriv2_neg hD hf fun x hx => hf'' x (interior_subset hx)
/-- If a function `f` is twice differentiable on `ℝ`, and `f''` is nonnegative on `ℝ`,
then `f` is convex on `ℝ`. -/
theorem convexOn_univ_of_deriv2_nonneg {f : ℝ → ℝ} (hf' : Differentiable ℝ f)
(hf'' : Differentiable ℝ (deriv f)) (hf''_nonneg : ∀ x, 0 ≤ (deriv^[2] f) x) :
ConvexOn ℝ univ f :=
convexOn_of_deriv2_nonneg' convex_univ hf'.differentiableOn hf''.differentiableOn fun x _ =>
hf''_nonneg x
/-- If a function `f` is twice differentiable on `ℝ`, and `f''` is nonpositive on `ℝ`,
then `f` is concave on `ℝ`. -/
theorem concaveOn_univ_of_deriv2_nonpos {f : ℝ → ℝ} (hf' : Differentiable ℝ f)
(hf'' : Differentiable ℝ (deriv f)) (hf''_nonpos : ∀ x, deriv^[2] f x ≤ 0) :
ConcaveOn ℝ univ f :=
concaveOn_of_deriv2_nonpos' convex_univ hf'.differentiableOn hf''.differentiableOn fun x _ =>
hf''_nonpos x
/-- If a function `f` is continuous on `ℝ`, and `f''` is strictly positive on `ℝ`,
then `f` is strictly convex on `ℝ`.
Note that we don't require twice differentiability explicitly as it is already implied by the second
derivative being strictly positive, except at at most one point. -/
theorem strictConvexOn_univ_of_deriv2_pos {f : ℝ → ℝ} (hf : Continuous f)
(hf'' : ∀ x, 0 < (deriv^[2] f) x) : StrictConvexOn ℝ univ f :=
strictConvexOn_of_deriv2_pos' convex_univ hf.continuousOn fun x _ => hf'' x
/-- If a function `f` is continuous on `ℝ`, and `f''` is strictly negative on `ℝ`,
then `f` is strictly concave on `ℝ`.
Note that we don't require twice differentiability explicitly as it is already implied by the second
derivative being strictly negative, except at at most one point. -/
theorem strictConcaveOn_univ_of_deriv2_neg {f : ℝ → ℝ} (hf : Continuous f)
(hf'' : ∀ x, deriv^[2] f x < 0) : StrictConcaveOn ℝ univ f :=
strictConcaveOn_of_deriv2_neg' convex_univ hf.continuousOn fun x _ => hf'' x
/-!
## Convexity of `f` implies monotonicity of `f'`
In this section we prove inequalities relating derivatives of convex functions to slopes of secant
lines, and deduce that if `f` is convex then its derivative is monotone (and similarly for strict
convexity / strict monotonicity).
-/
section slope
variable {𝕜 : Type*} [Field 𝕜] [LinearOrder 𝕜] [IsStrictOrderedRing 𝕜]
{s : Set 𝕜} {f : 𝕜 → 𝕜} {x : 𝕜}
/-- If `f : 𝕜 → 𝕜` is convex on `s`, then for any point `x ∈ s` the slope of the secant line of `f`
through `x` is monotone on `s \ {x}`. -/
lemma ConvexOn.slope_mono (hfc : ConvexOn 𝕜 s f) (hx : x ∈ s) : MonotoneOn (slope f x) (s \ {x}) :=
(slope_fun_def_field f _).symm ▸ fun _ hy _ hz hz' ↦ hfc.secant_mono hx (mem_of_mem_diff hy)
(mem_of_mem_diff hz) (not_mem_of_mem_diff hy :) (not_mem_of_mem_diff hz :) hz'
lemma ConvexOn.monotoneOn_slope_gt (hfc : ConvexOn 𝕜 s f) (hxs : x ∈ s) :
MonotoneOn (slope f x) {y ∈ s | x < y} :=
(hfc.slope_mono hxs).mono fun _ ⟨h1, h2⟩ ↦ ⟨h1, h2.ne'⟩
lemma ConvexOn.monotoneOn_slope_lt (hfc : ConvexOn 𝕜 s f) (hxs : x ∈ s) :
MonotoneOn (slope f x) {y ∈ s | y < x} :=
(hfc.slope_mono hxs).mono fun _ ⟨h1, h2⟩ ↦ ⟨h1, h2.ne⟩
/-- If `f : 𝕜 → 𝕜` is concave on `s`, then for any point `x ∈ s` the slope of the secant line of `f`
through `x` is antitone on `s \ {x}`. -/
lemma ConcaveOn.slope_anti (hfc : ConcaveOn 𝕜 s f) (hx : x ∈ s) :
AntitoneOn (slope f x) (s \ {x}) := by
rw [← neg_neg f, slope_neg_fun]
exact (ConvexOn.slope_mono hfc.neg hx).neg
lemma ConcaveOn.antitoneOn_slope_gt (hfc : ConcaveOn 𝕜 s f) (hxs : x ∈ s) :
AntitoneOn (slope f x) {y ∈ s | x < y} :=
(hfc.slope_anti hxs).mono fun _ ⟨h1, h2⟩ ↦ ⟨h1, h2.ne'⟩
lemma ConcaveOn.antitoneOn_slope_lt (hfc : ConcaveOn 𝕜 s f) (hxs : x ∈ s) :
AntitoneOn (slope f x) {y ∈ s | y < x} :=
(hfc.slope_anti hxs).mono fun _ ⟨h1, h2⟩ ↦ ⟨h1, h2.ne⟩
variable [TopologicalSpace 𝕜] [OrderTopology 𝕜]
lemma bddBelow_slope_lt_of_mem_interior (hfc : ConvexOn 𝕜 s f) (hxs : x ∈ interior s) :
BddBelow (slope f x '' {y ∈ s | x < y}) := by
obtain ⟨y, hyx, hys⟩ : ∃ y, y < x ∧ y ∈ s :=
Eventually.exists_lt (mem_interior_iff_mem_nhds.mp hxs)
refine bddBelow_iff_subset_Ici.mpr ⟨slope f x y, fun y' ⟨z, hz, hz'⟩ ↦ ?_⟩
simp_rw [mem_Ici, ← hz']
refine hfc.slope_mono (interior_subset hxs) ?_ ?_ (hyx.trans hz.2).le
· simp [hys, hyx.ne]
· simp [hz.2.ne', hz.1]
lemma bddAbove_slope_gt_of_mem_interior (hfc : ConvexOn 𝕜 s f) (hxs : x ∈ interior s) :
BddAbove (slope f x '' {y ∈ s | y < x}) := by
obtain ⟨y, hyx, hys⟩ : ∃ y, x < y ∧ y ∈ s :=
Eventually.exists_gt (mem_interior_iff_mem_nhds.mp hxs)
refine bddAbove_iff_subset_Iic.mpr ⟨slope f x y, fun y' ⟨z, hz, hz'⟩ ↦ ?_⟩
simp_rw [mem_Iic, ← hz']
refine hfc.slope_mono (interior_subset hxs) ?_ ?_ (hz.2.trans hyx).le
· simp [hz.2.ne, hz.1]
· simp [hys, hyx.ne']
end slope
namespace ConvexOn
variable {S : Set ℝ} {f : ℝ → ℝ} {x y f' : ℝ}
section Interior
/-!
### Left and right derivative of a convex function in the interior of the set
-/
lemma hasDerivWithinAt_sInf_slope_of_mem_interior (hfc : ConvexOn ℝ S f) (hxs : x ∈ interior S) :
HasDerivWithinAt f (sInf (slope f x '' {y ∈ S | x < y})) (Ioi x) x := by
have hxs' := hxs
rw [mem_interior_iff_mem_nhds, mem_nhds_iff_exists_Ioo_subset] at hxs'
obtain ⟨a, b, hxab, habs⟩ := hxs'
simp_rw [hasDerivWithinAt_iff_tendsto_slope]
simp only [mem_Ioi, lt_self_iff_false, not_false_eq_true, diff_singleton_eq_self]
have h : Ioo x b ⊆ {y | y ∈ S ∧ x < y} := fun z hz ↦ ⟨habs ⟨hxab.1.trans hz.1, hz.2⟩, hz.1⟩
have h_Ioo : Tendsto (slope f x) (𝓝[>] x) (𝓝 (sInf (slope f x '' Ioo x b))) :=
((monotoneOn_slope_gt hfc (habs hxab)).mono h).tendsto_nhdsWithin_Ioo_right
(by simpa using hxab.2) ((bddBelow_slope_lt_of_mem_interior hfc hxs).mono (image_subset _ h))
suffices sInf (slope f x '' Ioo x b) = sInf (slope f x '' {y ∈ S | x < y}) by rwa [← this]
apply (monotoneOn_slope_gt hfc (habs hxab)).csInf_eq_of_subset_of_forall_exists_le
(bddBelow_slope_lt_of_mem_interior hfc hxs) h ?_
rintro y ⟨hyS, hxy⟩
obtain ⟨z, hxz, hzy⟩ := exists_between (lt_min hxab.2 hxy)
exact ⟨z, ⟨hxz, hzy.trans_le (min_le_left _ _)⟩, hzy.le.trans (min_le_right _ _)⟩
lemma hasDerivWithinAt_sSup_slope_of_mem_interior (hfc : ConvexOn ℝ S f) (hxs : x ∈ interior S) :
HasDerivWithinAt f (sSup (slope f x '' {y ∈ S | y < x})) (Iio x) x := by
have hxs' := hxs
rw [mem_interior_iff_mem_nhds, mem_nhds_iff_exists_Ioo_subset] at hxs'
obtain ⟨a, b, hxab, habs⟩ := hxs'
simp_rw [hasDerivWithinAt_iff_tendsto_slope]
simp only [mem_Iio, lt_self_iff_false, not_false_eq_true, diff_singleton_eq_self]
have h : Ioo a x ⊆ {y | y ∈ S ∧ y < x} := fun z hz ↦ ⟨habs ⟨hz.1, hz.2.trans hxab.2⟩, hz.2⟩
have h_Ioo : Tendsto (slope f x) (𝓝[<] x) (𝓝 (sSup (slope f x '' Ioo a x))) :=
((monotoneOn_slope_lt hfc (habs hxab)).mono h).tendsto_nhdsWithin_Ioo_left
(by simpa using hxab.1) ((bddAbove_slope_gt_of_mem_interior hfc hxs).mono (image_subset _ h))
suffices sSup (slope f x '' Ioo a x) = sSup (slope f x '' {y ∈ S | y < x}) by rwa [← this]
apply (monotoneOn_slope_lt hfc (habs hxab)).csSup_eq_of_subset_of_forall_exists_le
(bddAbove_slope_gt_of_mem_interior hfc hxs) h ?_
rintro y ⟨hyS, hyx⟩
obtain ⟨z, hyz, hzx⟩ := exists_between (max_lt hxab.1 hyx)
exact ⟨z, ⟨(le_max_left _ _).trans_lt hyz, hzx⟩, (le_max_right _ _).trans hyz.le⟩
lemma differentiableWithinAt_Ioi_of_mem_interior (hfc : ConvexOn ℝ S f) (hxs : x ∈ interior S) :
DifferentiableWithinAt ℝ f (Ioi x) x :=
(hfc.hasDerivWithinAt_sInf_slope_of_mem_interior hxs).differentiableWithinAt
lemma differentiableWithinAt_Iio_of_mem_interior (hfc : ConvexOn ℝ S f) (hxs : x ∈ interior S) :
DifferentiableWithinAt ℝ f (Iio x) x :=
(hfc.hasDerivWithinAt_sSup_slope_of_mem_interior hxs).differentiableWithinAt
lemma hasDerivWithinAt_rightDeriv_of_mem_interior (hfc : ConvexOn ℝ S f) (hxs : x ∈ interior S) :
HasDerivWithinAt f (derivWithin f (Ioi x) x) (Ioi x) x :=
(hfc.differentiableWithinAt_Ioi_of_mem_interior hxs).hasDerivWithinAt
lemma hasDerivWithinAt_leftDeriv_of_mem_interior (hfc : ConvexOn ℝ S f) (hxs : x ∈ interior S) :
HasDerivWithinAt f (derivWithin f (Iio x) x) (Iio x) x :=
(hfc.differentiableWithinAt_Iio_of_mem_interior hxs).hasDerivWithinAt
lemma rightDeriv_eq_sInf_slope_of_mem_interior (hfc : ConvexOn ℝ S f) (hxs : x ∈ interior S) :
derivWithin f (Ioi x) x = sInf (slope f x '' {y | y ∈ S ∧ x < y}) :=
(hfc.hasDerivWithinAt_sInf_slope_of_mem_interior hxs).derivWithin (uniqueDiffWithinAt_Ioi x)
lemma leftDeriv_eq_sSup_slope_of_mem_interior (hfc : ConvexOn ℝ S f) (hxs : x ∈ interior S) :
derivWithin f (Iio x) x = sSup (slope f x '' {y | y ∈ S ∧ y < x}) :=
(hfc.hasDerivWithinAt_sSup_slope_of_mem_interior hxs).derivWithin (uniqueDiffWithinAt_Iio x)
lemma monotoneOn_rightDeriv (hfc : ConvexOn ℝ S f) :
MonotoneOn (fun x ↦ derivWithin f (Ioi x) x) (interior S) := by
intro x hxs y hys hxy
rcases eq_or_lt_of_le hxy with rfl | hxy; · rfl
simp_rw [hfc.rightDeriv_eq_sInf_slope_of_mem_interior hxs,
hfc.rightDeriv_eq_sInf_slope_of_mem_interior hys]
refine csInf_le_of_le (b := slope f x y) (bddBelow_slope_lt_of_mem_interior hfc hxs)
⟨y, by simp only [mem_setOf_eq, hxy, and_true]; exact interior_subset hys⟩
(le_csInf ?_ ?_)
· have hys' := hys
rw [mem_interior_iff_mem_nhds, mem_nhds_iff_exists_Ioo_subset] at hys'
obtain ⟨a, b, hxab, habs⟩ := hys'
rw [image_nonempty]
obtain ⟨z, hxz, hzb⟩ := exists_between hxab.2
exact ⟨z, habs ⟨hxab.1.trans hxz, hzb⟩, hxz⟩
· rintro _ ⟨z, ⟨hzs, hyz : y < z⟩, rfl⟩
rw [slope_comm]
exact slope_mono hfc (interior_subset hys) ⟨interior_subset hxs, hxy.ne⟩ ⟨hzs, hyz.ne'⟩
(hxy.trans hyz).le
lemma monotoneOn_leftDeriv (hfc : ConvexOn ℝ S f) :
MonotoneOn (fun x ↦ derivWithin f (Iio x) x) (interior S) := by
intro x hxs y hys hxy
rcases eq_or_lt_of_le hxy with rfl | hxy; · rfl
simp_rw [hfc.leftDeriv_eq_sSup_slope_of_mem_interior hxs,
hfc.leftDeriv_eq_sSup_slope_of_mem_interior hys]
refine le_csSup_of_le (b := slope f x y) (bddAbove_slope_gt_of_mem_interior hfc hys)
⟨x, by simp only [slope_comm, mem_setOf_eq, hxy, and_true]; exact interior_subset hxs⟩
(csSup_le ?_ ?_)
· have hxs' := hxs
rw [mem_interior_iff_mem_nhds, mem_nhds_iff_exists_Ioo_subset] at hxs'
obtain ⟨a, b, hxab, habs⟩ := hxs'
rw [image_nonempty]
obtain ⟨z, hxz, hzb⟩ := exists_between hxab.1
exact ⟨z, habs ⟨hxz, hzb.trans hxab.2⟩, hzb⟩
· rintro _ ⟨z, ⟨hzs, hyz : z < x⟩, rfl⟩
exact slope_mono hfc (interior_subset hxs) ⟨hzs, hyz.ne⟩ ⟨interior_subset hys, hxy.ne'⟩
(hyz.trans hxy).le
lemma leftDeriv_le_rightDeriv_of_mem_interior (hfc : ConvexOn ℝ S f) (hxs : x ∈ interior S) :
derivWithin f (Iio x) x ≤ derivWithin f (Ioi x) x := by
have hxs' := hxs
rw [mem_interior_iff_mem_nhds, mem_nhds_iff_exists_Ioo_subset] at hxs'
obtain ⟨a, b, hxab, habs⟩ := hxs'
rw [hfc.rightDeriv_eq_sInf_slope_of_mem_interior hxs,
hfc.leftDeriv_eq_sSup_slope_of_mem_interior hxs]
refine csSup_le ?_ ?_
· rw [image_nonempty]
obtain ⟨z, haz, hzx⟩ := exists_between hxab.1
exact ⟨z, habs ⟨haz, hzx.trans hxab.2⟩, hzx⟩
rintro _ ⟨z, ⟨hzs, hzx⟩, rfl⟩
refine le_csInf ?_ ?_
· rw [image_nonempty]
obtain ⟨z, hxz, hzb⟩ := exists_between hxab.2
exact ⟨z, habs ⟨hxab.1.trans hxz, hzb⟩, hxz⟩
rintro _ ⟨y, ⟨hys, hxy⟩, rfl⟩
exact slope_mono hfc (interior_subset hxs) ⟨hzs, hzx.ne⟩ ⟨hys, hxy.ne'⟩ (hzx.trans hxy).le
end Interior
section left
/-!
### Convex functions, derivative at left endpoint of secant
-/
/-- If `f : ℝ → ℝ` is convex on `S` and right-differentiable at `x ∈ S`, then the slope of any
secant line with left endpoint at `x` is bounded below by the right derivative of `f` at `x`. -/
lemma le_slope_of_hasDerivWithinAt_Ioi (hfc : ConvexOn ℝ S f)
(hx : x ∈ S) (hy : y ∈ S) (hxy : x < y) (hf' : HasDerivWithinAt f f' (Ioi x) x) :
f' ≤ slope f x y := by
apply le_of_tendsto <| (hasDerivWithinAt_iff_tendsto_slope' not_mem_Ioi_self).mp hf'
simp_rw [eventually_nhdsWithin_iff, slope_def_field]
filter_upwards [eventually_lt_nhds hxy] with t ht (ht' : x < t)
refine hfc.secant_mono hx (?_ : t ∈ S) hy ht'.ne' hxy.ne' ht.le
exact hfc.1.ordConnected.out hx hy ⟨ht'.le, ht.le⟩
/-- Reformulation of `ConvexOn.le_slope_of_hasDerivWithinAt_Ioi` using `derivWithin`. -/
lemma rightDeriv_le_slope (hfc : ConvexOn ℝ S f) (hx : x ∈ S) (hy : y ∈ S) (hxy : x < y)
(hfd : DifferentiableWithinAt ℝ f (Ioi x) x) :
derivWithin f (Ioi x) x ≤ slope f x y :=
le_slope_of_hasDerivWithinAt_Ioi hfc hx hy hxy hfd.hasDerivWithinAt
@[deprecated (since := "2025-01-26")]
alias right_deriv_le_slope := rightDeriv_le_slope
lemma rightDeriv_le_slope_of_mem_interior (hfc : ConvexOn ℝ S f)
{y : ℝ} (hxs : x ∈ interior S) (hys : y ∈ S) (hxy : x < y) :
derivWithin f (Ioi x) x ≤ slope f x y :=
rightDeriv_le_slope hfc (interior_subset hxs) hys hxy
(differentiableWithinAt_Ioi_of_mem_interior hfc hxs)
/-- If `f : ℝ → ℝ` is convex on `S` and differentiable within `S` at `x`, then the slope of any
secant line with left endpoint at `x` is bounded below by the derivative of `f` within `S` at `x`.
This is fractionally weaker than `ConvexOn.le_slope_of_hasDerivWithinAt_Ioi` but simpler to apply
under a `DifferentiableOn S` hypothesis. -/
lemma le_slope_of_hasDerivWithinAt (hfc : ConvexOn ℝ S f) (hx : x ∈ S) (hy : y ∈ S) (hxy : x < y)
(hf' : HasDerivWithinAt f f' S x) :
f' ≤ slope f x y :=
hfc.le_slope_of_hasDerivWithinAt_Ioi hx hy hxy <|
hf'.mono_of_mem_nhdsWithin <| hfc.1.ordConnected.mem_nhdsGT hx hy hxy
/-- Reformulation of `ConvexOn.le_slope_of_hasDerivWithinAt` using `derivWithin`. -/
lemma derivWithin_le_slope (hfc : ConvexOn ℝ S f) (hx : x ∈ S) (hy : y ∈ S) (hxy : x < y)
(hfd : DifferentiableWithinAt ℝ f S x) :
derivWithin f S x ≤ slope f x y :=
le_slope_of_hasDerivWithinAt hfc hx hy hxy hfd.hasDerivWithinAt
/-- If `f : ℝ → ℝ` is convex on `S` and differentiable at `x ∈ S`, then the slope of any secant
line with left endpoint at `x` is bounded below by the derivative of `f` at `x`. -/
lemma le_slope_of_hasDerivAt (hfc : ConvexOn ℝ S f) (hx : x ∈ S) (hy : y ∈ S) (hxy : x < y)
(ha : HasDerivAt f f' x) :
f' ≤ slope f x y :=
hfc.le_slope_of_hasDerivWithinAt_Ioi hx hy hxy ha.hasDerivWithinAt
/-- Reformulation of `ConvexOn.le_slope_of_hasDerivAt` using `deriv` -/
lemma deriv_le_slope (hfc : ConvexOn ℝ S f) (hx : x ∈ S) (hy : y ∈ S) (hxy : x < y)
(hfd : DifferentiableAt ℝ f x) :
deriv f x ≤ slope f x y :=
le_slope_of_hasDerivAt hfc hx hy hxy hfd.hasDerivAt
end left
section right
/-!
### Convex functions, derivative at right endpoint of secant
-/
/-- If `f : ℝ → ℝ` is convex on `S` and left-differentiable at `y ∈ S`, then the slope of any secant
line with right endpoint at `y` is bounded above by the left derivative of `f` at `y`. -/
lemma slope_le_of_hasDerivWithinAt_Iio (hfc : ConvexOn ℝ S f)
(hx : x ∈ S) (hy : y ∈ S) (hxy : x < y) (hf' : HasDerivWithinAt f f' (Iio y) y) :
slope f x y ≤ f' := by
apply ge_of_tendsto <| (hasDerivWithinAt_iff_tendsto_slope' not_mem_Iio_self).mp hf'
simp_rw [eventually_nhdsWithin_iff, slope_comm f x y, slope_def_field]
filter_upwards [eventually_gt_nhds hxy] with t ht (ht' : t < y)
refine hfc.secant_mono hy hx (?_ : t ∈ S) hxy.ne ht'.ne ht.le
exact hfc.1.ordConnected.out hx hy ⟨ht.le, ht'.le⟩
/-- Reformulation of `ConvexOn.slope_le_of_hasDerivWithinAt_Iio` using `derivWithin`. -/
lemma slope_le_leftDeriv (hfc : ConvexOn ℝ S f) (hx : x ∈ S) (hy : y ∈ S) (hxy : x < y)
(hfd : DifferentiableWithinAt ℝ f (Iio y) y) :
slope f x y ≤ derivWithin f (Iio y) y :=
hfc.slope_le_of_hasDerivWithinAt_Iio hx hy hxy hfd.hasDerivWithinAt
@[deprecated (since := "2025-01-26")]
alias slope_le_left_deriv := slope_le_leftDeriv
lemma slope_le_leftDeriv_of_mem_interior (hfc : ConvexOn ℝ S f)
(hys : x ∈ S) (hxs : y ∈ interior S) (hxy : x < y) :
slope f x y ≤ derivWithin f (Iio y) y :=
slope_le_leftDeriv hfc hys (interior_subset hxs) hxy
(differentiableWithinAt_Iio_of_mem_interior hfc hxs)
/-- If `f : ℝ → ℝ` is convex on `S` and differentiable within `S` at `y`, then the slope of any
secant line with right endpoint at `y` is bounded above by the derivative of `f` within `S` at `y`.
This is fractionally weaker than `ConvexOn.slope_le_of_hasDerivWithinAt_Iio` but simpler to apply
under a `DifferentiableOn S` hypothesis. -/
lemma slope_le_of_hasDerivWithinAt (hfc : ConvexOn ℝ S f) (hx : x ∈ S) (hy : y ∈ S) (hxy : x < y)
(hf' : HasDerivWithinAt f f' S y) :
slope f x y ≤ f' :=
hfc.slope_le_of_hasDerivWithinAt_Iio hx hy hxy <|
hf'.mono_of_mem_nhdsWithin <| hfc.1.ordConnected.mem_nhdsLT hx hy hxy
/-- Reformulation of `ConvexOn.slope_le_of_hasDerivWithinAt` using `derivWithin`. -/
lemma slope_le_derivWithin (hfc : ConvexOn ℝ S f) (hx : x ∈ S) (hy : y ∈ S) (hxy : x < y)
(hfd : DifferentiableWithinAt ℝ f S y) :
slope f x y ≤ derivWithin f S y :=
hfc.slope_le_of_hasDerivWithinAt hx hy hxy hfd.hasDerivWithinAt
/-- If `f : ℝ → ℝ` is convex on `S` and differentiable at `y ∈ S`, then the slope of any secant
line with right endpoint at `y` is bounded above by the derivative of `f` at `y`. -/
lemma slope_le_of_hasDerivAt (hfc : ConvexOn ℝ S f) (hx : x ∈ S) (hy : y ∈ S) (hxy : x < y)
(hf' : HasDerivAt f f' y) :
slope f x y ≤ f' :=
hfc.slope_le_of_hasDerivWithinAt_Iio hx hy hxy hf'.hasDerivWithinAt
/-- Reformulation of `ConvexOn.slope_le_of_hasDerivAt` using `deriv`. -/
lemma slope_le_deriv (hfc : ConvexOn ℝ S f) (hx : x ∈ S) (hy : y ∈ S) (hxy : x < y)
(hfd : DifferentiableAt ℝ f y) :
slope f x y ≤ deriv f y :=
hfc.slope_le_of_hasDerivAt hx hy hxy hfd.hasDerivAt
end right
/-!
### Convex functions, monotonicity of derivative
-/
/-- If `f` is convex on `S` and differentiable on `S`, then its derivative within `S` is monotone
on `S`. -/
lemma monotoneOn_derivWithin (hfc : ConvexOn ℝ S f) (hfd : DifferentiableOn ℝ f S) :
MonotoneOn (derivWithin f S) S := by
intro x hx y hy hxy
rcases eq_or_lt_of_le hxy with rfl | hxy'
· rfl
exact (hfc.derivWithin_le_slope hx hy hxy' (hfd x hx)).trans
(hfc.slope_le_derivWithin hx hy hxy' (hfd y hy))
/-- If `f` is convex on `S` and differentiable at all points of `S`, then its derivative is monotone
on `S`. -/
theorem monotoneOn_deriv (hfc : ConvexOn ℝ S f) (hfd : ∀ x ∈ S, DifferentiableAt ℝ f x) :
MonotoneOn (deriv f) S := by
intro x hx y hy hxy
rcases eq_or_lt_of_le hxy with rfl | hxy'
· rfl
exact (hfc.deriv_le_slope hx hy hxy' (hfd x hx)).trans (hfc.slope_le_deriv hx hy hxy' (hfd y hy))
lemma isMinOn_of_leftDeriv_nonpos_of_rightDeriv_nonneg (hf : ConvexOn ℝ S f) (hx : x ∈ interior S)
(hf_ld : derivWithin f (Iio x) x ≤ 0) (hf_rd : 0 ≤ derivWithin f (Ioi x) x) :
IsMinOn f S x := by
intro y hy
rcases lt_trichotomy x y with hxy | h_eq | hyx
· suffices 0 ≤ slope f x y by
simp only [slope_def_field, div_nonneg_iff, sub_nonneg, tsub_le_iff_right, zero_add,
not_le.mpr hxy, and_false, or_false] at this
exact this.1
exact hf_rd.trans <| rightDeriv_le_slope_of_mem_interior hf hx hy hxy
· simp [h_eq]
· suffices slope f x y ≤ 0 by
simp only [slope_def_field, div_nonpos_iff, sub_nonneg, tsub_le_iff_right, zero_add,
not_le.mpr hyx, and_false, or_false] at this
exact this.1
rw [slope_comm]
exact (slope_le_leftDeriv_of_mem_interior hf hy hx hyx).trans hf_ld
lemma isMinOn_of_rightDeriv_eq_zero (hf : ConvexOn ℝ S f) (hx : x ∈ interior S)
(hf_rd : derivWithin f (Ioi x) x = 0) :
IsMinOn f S x := by
refine hf.isMinOn_of_leftDeriv_nonpos_of_rightDeriv_nonneg hx ?_ hf_rd.symm.le
exact (hf.leftDeriv_le_rightDeriv_of_mem_interior hx).trans_eq hf_rd
lemma isMinOn_of_leftDeriv_eq_zero (hf : ConvexOn ℝ S f) (hx : x ∈ interior S)
(hf_ld : derivWithin f (Iio x) x = 0) :
IsMinOn f S x := by
refine hf.isMinOn_of_leftDeriv_nonpos_of_rightDeriv_nonneg hx hf_ld.le ?_
exact hf_ld.symm.le.trans (hf.leftDeriv_le_rightDeriv_of_mem_interior hx)
end ConvexOn
namespace StrictConvexOn
variable {S : Set ℝ} {f : ℝ → ℝ} {x y f' : ℝ}
section left
/-!
### Strict convex functions, derivative at left endpoint of secant
-/
/-- If `f : ℝ → ℝ` is strictly convex on `S` and right-differentiable at `x ∈ S`, then the slope of
any secant line with left endpoint at `x` is strictly greater than the right derivative of `f` at
`x`. -/
lemma lt_slope_of_hasDerivWithinAt_Ioi (hfc : StrictConvexOn ℝ S f)
(hx : x ∈ S) (hy : y ∈ S) (hxy : x < y) (hf' : HasDerivWithinAt f f' (Ioi x) x) :
f' < slope f x y := by
obtain ⟨u, hxu, huy⟩ := exists_between hxy
have hu : u ∈ S := hfc.1.ordConnected.out hx hy ⟨hxu.le, huy.le⟩
have := hfc.secant_strict_mono hx hu hy hxu.ne' hxy.ne' huy
simp only [← slope_def_field] at this
exact (hfc.convexOn.le_slope_of_hasDerivWithinAt_Ioi hx hu hxu hf').trans_lt this
lemma rightDeriv_lt_slope (hfc : StrictConvexOn ℝ S f) (hx : x ∈ S) (hy : y ∈ S) (hxy : x < y)
(hfd : DifferentiableWithinAt ℝ f (Ioi x) x) :
derivWithin f (Ioi x) x < slope f x y :=
hfc.lt_slope_of_hasDerivWithinAt_Ioi hx hy hxy hfd.hasDerivWithinAt
@[deprecated (since := "2025-01-26")]
alias right_deriv_lt_slope := rightDeriv_lt_slope
/-- If `f : ℝ → ℝ` is strictly convex on `S` and differentiable within `S` at `x ∈ S`, then the
slope of any secant line with left endpoint at `x` is strictly greater than the derivative of `f`
within `S` at `x`.
This is fractionally weaker than `StrictConvexOn.lt_slope_of_hasDerivWithinAt_Ioi` but simpler to
apply under a `DifferentiableOn S` hypothesis. -/
| lemma lt_slope_of_hasDerivWithinAt (hfc : StrictConvexOn ℝ S f)
(hx : x ∈ S) (hy : y ∈ S) (hxy : x < y) (hf' : HasDerivWithinAt f f' S x) :
f' < slope f x y :=
hfc.lt_slope_of_hasDerivWithinAt_Ioi hx hy hxy <|
hf'.mono_of_mem_nhdsWithin <| hfc.1.ordConnected.mem_nhdsGT hx hy hxy
lemma derivWithin_lt_slope (hfc : StrictConvexOn ℝ S f) (hx : x ∈ S) (hy : y ∈ S) (hxy : x < y)
| Mathlib/Analysis/Convex/Deriv.lean | 761 | 767 |
/-
Copyright (c) 2022 Yaël Dillies, Bhavik Mehta. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yaël Dillies, Bhavik Mehta
-/
import Mathlib.Algebra.BigOperators.Ring.Finset
import Mathlib.Combinatorics.SimpleGraph.Density
import Mathlib.Data.Nat.Cast.Order.Field
import Mathlib.Order.Partition.Equipartition
import Mathlib.SetTheory.Cardinal.Order
/-!
# Graph uniformity and uniform partitions
In this file we define uniformity of a pair of vertices in a graph and uniformity of a partition of
vertices of a graph. Both are also known as ε-regularity.
Finsets of vertices `s` and `t` are `ε`-uniform in a graph `G` if their edge density is at most
`ε`-far from the density of any big enough `s'` and `t'` where `s' ⊆ s`, `t' ⊆ t`.
The definition is pretty technical, but it amounts to the edges between `s` and `t` being "random"
The literature contains several definitions which are equivalent up to scaling `ε` by some constant
when the partition is equitable.
A partition `P` of the vertices is `ε`-uniform if the proportion of non `ε`-uniform pairs of parts
is less than `ε`.
## Main declarations
* `SimpleGraph.IsUniform`: Graph uniformity of a pair of finsets of vertices.
* `SimpleGraph.nonuniformWitness`: `G.nonuniformWitness ε s t` and `G.nonuniformWitness ε t s`
together witness the non-uniformity of `s` and `t`.
* `Finpartition.nonUniforms`: Non uniform pairs of parts of a partition.
* `Finpartition.IsUniform`: Uniformity of a partition.
* `Finpartition.nonuniformWitnesses`: For each non-uniform pair of parts of a partition, pick
witnesses of non-uniformity and dump them all together.
## References
[Yaël Dillies, Bhavik Mehta, *Formalising Szemerédi’s Regularity Lemma in Lean*][srl_itp]
-/
open Finset
variable {α 𝕜 : Type*} [Field 𝕜] [LinearOrder 𝕜] [IsStrictOrderedRing 𝕜]
/-! ### Graph uniformity -/
namespace SimpleGraph
variable (G : SimpleGraph α) [DecidableRel G.Adj] (ε : 𝕜) {s t : Finset α} {a b : α}
/-- A pair of finsets of vertices is `ε`-uniform (aka `ε`-regular) iff their edge density is close
to the density of any big enough pair of subsets. Intuitively, the edges between them are
random-like. -/
def IsUniform (s t : Finset α) : Prop :=
∀ ⦃s'⦄, s' ⊆ s → ∀ ⦃t'⦄, t' ⊆ t → (#s : 𝕜) * ε ≤ #s' →
(#t : 𝕜) * ε ≤ #t' → |(G.edgeDensity s' t' : 𝕜) - (G.edgeDensity s t : 𝕜)| < ε
variable {G ε}
instance IsUniform.instDecidableRel : DecidableRel (G.IsUniform ε) := by
unfold IsUniform; infer_instance
theorem IsUniform.mono {ε' : 𝕜} (h : ε ≤ ε') (hε : IsUniform G ε s t) : IsUniform G ε' s t :=
fun s' hs' t' ht' hs ht => by
refine (hε hs' ht' (le_trans ?_ hs) (le_trans ?_ ht)).trans_le h <;> gcongr
omit [IsStrictOrderedRing 𝕜] in
theorem IsUniform.symm : Symmetric (IsUniform G ε) := fun s t h t' ht' s' hs' ht hs => by
rw [edgeDensity_comm _ t', edgeDensity_comm _ t]
exact h hs' ht' hs ht
variable (G)
omit [IsStrictOrderedRing 𝕜] in
theorem isUniform_comm : IsUniform G ε s t ↔ IsUniform G ε t s :=
⟨fun h => h.symm, fun h => h.symm⟩
lemma isUniform_one : G.IsUniform (1 : 𝕜) s t := by
intro s' hs' t' ht' hs ht
rw [mul_one] at hs ht
rw [eq_of_subset_of_card_le hs' (Nat.cast_le.1 hs),
eq_of_subset_of_card_le ht' (Nat.cast_le.1 ht), sub_self, abs_zero]
exact zero_lt_one
variable {G}
lemma IsUniform.pos (hG : G.IsUniform ε s t) : 0 < ε :=
not_le.1 fun hε ↦ (hε.trans <| abs_nonneg _).not_lt <| hG (empty_subset _) (empty_subset _)
(by simpa using mul_nonpos_of_nonneg_of_nonpos (Nat.cast_nonneg _) hε)
(by simpa using mul_nonpos_of_nonneg_of_nonpos (Nat.cast_nonneg _) hε)
@[simp] lemma isUniform_singleton : G.IsUniform ε {a} {b} ↔ 0 < ε := by
refine ⟨IsUniform.pos, fun hε s' hs' t' ht' hs ht ↦ ?_⟩
rw [card_singleton, Nat.cast_one, one_mul] at hs ht
obtain rfl | rfl := Finset.subset_singleton_iff.1 hs'
· replace hs : ε ≤ 0 := by simpa using hs
exact (hε.not_le hs).elim
obtain rfl | rfl := Finset.subset_singleton_iff.1 ht'
· replace ht : ε ≤ 0 := by simpa using ht
exact (hε.not_le ht).elim
· rwa [sub_self, abs_zero]
theorem not_isUniform_zero : ¬G.IsUniform (0 : 𝕜) s t := fun h =>
(abs_nonneg _).not_lt <| h (empty_subset _) (empty_subset _) (by simp) (by simp)
theorem not_isUniform_iff :
¬G.IsUniform ε s t ↔ ∃ s', s' ⊆ s ∧ ∃ t', t' ⊆ t ∧ #s * ε ≤ #s' ∧
#t * ε ≤ #t' ∧ ε ≤ |G.edgeDensity s' t' - G.edgeDensity s t| := by
unfold IsUniform
simp only [not_forall, not_lt, exists_prop, exists_and_left, Rat.cast_abs, Rat.cast_sub]
variable (G)
/-- An arbitrary pair of subsets witnessing the non-uniformity of `(s, t)`. If `(s, t)` is uniform,
returns `(s, t)`. Witnesses for `(s, t)` and `(t, s)` don't necessarily match. See
`SimpleGraph.nonuniformWitness`. -/
noncomputable def nonuniformWitnesses (ε : 𝕜) (s t : Finset α) : Finset α × Finset α :=
if h : ¬G.IsUniform ε s t then
((not_isUniform_iff.1 h).choose, (not_isUniform_iff.1 h).choose_spec.2.choose)
else (s, t)
theorem left_nonuniformWitnesses_subset (h : ¬G.IsUniform ε s t) :
(G.nonuniformWitnesses ε s t).1 ⊆ s := by
rw [nonuniformWitnesses, dif_pos h]
exact (not_isUniform_iff.1 h).choose_spec.1
theorem left_nonuniformWitnesses_card (h : ¬G.IsUniform ε s t) :
#s * ε ≤ #(G.nonuniformWitnesses ε s t).1 := by
rw [nonuniformWitnesses, dif_pos h]
exact (not_isUniform_iff.1 h).choose_spec.2.choose_spec.2.1
theorem right_nonuniformWitnesses_subset (h : ¬G.IsUniform ε s t) :
(G.nonuniformWitnesses ε s t).2 ⊆ t := by
rw [nonuniformWitnesses, dif_pos h]
exact (not_isUniform_iff.1 h).choose_spec.2.choose_spec.1
theorem right_nonuniformWitnesses_card (h : ¬G.IsUniform ε s t) :
#t * ε ≤ #(G.nonuniformWitnesses ε s t).2 := by
rw [nonuniformWitnesses, dif_pos h]
exact (not_isUniform_iff.1 h).choose_spec.2.choose_spec.2.2.1
theorem nonuniformWitnesses_spec (h : ¬G.IsUniform ε s t) :
ε ≤
|G.edgeDensity (G.nonuniformWitnesses ε s t).1 (G.nonuniformWitnesses ε s t).2 -
G.edgeDensity s t| := by
rw [nonuniformWitnesses, dif_pos h]
exact (not_isUniform_iff.1 h).choose_spec.2.choose_spec.2.2.2
open scoped Classical in
/-- Arbitrary witness of non-uniformity. `G.nonuniformWitness ε s t` and
`G.nonuniformWitness ε t s` form a pair of subsets witnessing the non-uniformity of `(s, t)`. If
`(s, t)` is uniform, returns `s`. -/
noncomputable def nonuniformWitness (ε : 𝕜) (s t : Finset α) : Finset α :=
if WellOrderingRel s t then (G.nonuniformWitnesses ε s t).1 else (G.nonuniformWitnesses ε t s).2
theorem nonuniformWitness_subset (h : ¬G.IsUniform ε s t) : G.nonuniformWitness ε s t ⊆ s := by
unfold nonuniformWitness
split_ifs
· exact G.left_nonuniformWitnesses_subset h
· exact G.right_nonuniformWitnesses_subset fun i => h i.symm
theorem le_card_nonuniformWitness (h : ¬G.IsUniform ε s t) :
#s * ε ≤ #(G.nonuniformWitness ε s t) := by
unfold nonuniformWitness
split_ifs
· exact G.left_nonuniformWitnesses_card h
· exact G.right_nonuniformWitnesses_card fun i => h i.symm
theorem nonuniformWitness_spec (h₁ : s ≠ t) (h₂ : ¬G.IsUniform ε s t) : ε ≤ |G.edgeDensity
(G.nonuniformWitness ε s t) (G.nonuniformWitness ε t s) - G.edgeDensity s t| := by
unfold nonuniformWitness
rcases trichotomous_of WellOrderingRel s t with (lt | rfl | gt)
· rw [if_pos lt, if_neg (asymm lt)]
exact G.nonuniformWitnesses_spec h₂
· cases h₁ rfl
· rw [if_neg (asymm gt), if_pos gt, edgeDensity_comm, edgeDensity_comm _ s]
apply G.nonuniformWitnesses_spec fun i => h₂ i.symm
end SimpleGraph
/-! ### Uniform partitions -/
variable [DecidableEq α] {A : Finset α} (P : Finpartition A) (G : SimpleGraph α)
[DecidableRel G.Adj] {ε δ : 𝕜} {u v : Finset α}
namespace Finpartition
/-- The pairs of parts of a partition `P` which are not `ε`-dense in a graph `G`. Note that we
dismiss the diagonal. We do not care whether `s` is `ε`-dense with itself. -/
def sparsePairs (ε : 𝕜) : Finset (Finset α × Finset α) :=
P.parts.offDiag.filter fun (u, v) ↦ G.edgeDensity u v < ε
omit [IsStrictOrderedRing 𝕜] in
@[simp]
lemma mk_mem_sparsePairs (u v : Finset α) (ε : 𝕜) :
(u, v) ∈ P.sparsePairs G ε ↔ u ∈ P.parts ∧ v ∈ P.parts ∧ u ≠ v ∧ G.edgeDensity u v < ε := by
rw [sparsePairs, mem_filter, mem_offDiag, and_assoc, and_assoc]
omit [IsStrictOrderedRing 𝕜] in
lemma sparsePairs_mono {ε ε' : 𝕜} (h : ε ≤ ε') : P.sparsePairs G ε ⊆ P.sparsePairs G ε' :=
monotone_filter_right _ fun _ ↦ h.trans_lt'
/-- The pairs of parts of a partition `P` which are not `ε`-uniform in a graph `G`. Note that we
dismiss the diagonal. We do not care whether `s` is `ε`-uniform with itself. -/
def nonUniforms (ε : 𝕜) : Finset (Finset α × Finset α) :=
P.parts.offDiag.filter fun (u, v) ↦ ¬G.IsUniform ε u v
omit [IsStrictOrderedRing 𝕜] in
@[simp] lemma mk_mem_nonUniforms :
(u, v) ∈ P.nonUniforms G ε ↔ u ∈ P.parts ∧ v ∈ P.parts ∧ u ≠ v ∧ ¬G.IsUniform ε u v := by
rw [nonUniforms, mem_filter, mem_offDiag, and_assoc, and_assoc]
theorem nonUniforms_mono {ε ε' : 𝕜} (h : ε ≤ ε') : P.nonUniforms G ε' ⊆ P.nonUniforms G ε :=
monotone_filter_right _ fun _ => mt <| SimpleGraph.IsUniform.mono h
theorem nonUniforms_bot (hε : 0 < ε) : (⊥ : Finpartition A).nonUniforms G ε = ∅ := by
rw [eq_empty_iff_forall_not_mem]
rintro ⟨u, v⟩
simp only [mk_mem_nonUniforms, parts_bot, mem_map, not_and,
Classical.not_not, exists_imp]; dsimp
rintro x ⟨_, rfl⟩ y ⟨_,rfl⟩ _
rwa [SimpleGraph.isUniform_singleton]
/-- A finpartition of a graph's vertex set is `ε`-uniform (aka `ε`-regular) iff the proportion of
its pairs of parts that are not `ε`-uniform is at most `ε`. -/
def IsUniform (ε : 𝕜) : Prop :=
(#(P.nonUniforms G ε) : 𝕜) ≤ (#P.parts * (#P.parts - 1) : ℕ) * ε
lemma bot_isUniform (hε : 0 < ε) : (⊥ : Finpartition A).IsUniform G ε := by
rw [Finpartition.IsUniform, Finpartition.card_bot, nonUniforms_bot _ hε, Finset.card_empty,
Nat.cast_zero]
exact mul_nonneg (Nat.cast_nonneg _) hε.le
lemma isUniform_one : P.IsUniform G (1 : 𝕜) := by
rw [IsUniform, mul_one, Nat.cast_le]
refine (card_filter_le _
(fun uv => ¬SimpleGraph.IsUniform G 1 (Prod.fst uv) (Prod.snd uv))).trans ?_
rw [offDiag_card, Nat.mul_sub_left_distrib, mul_one]
variable {P G}
theorem IsUniform.mono {ε ε' : 𝕜} (hP : P.IsUniform G ε) (h : ε ≤ ε') : P.IsUniform G ε' :=
((Nat.cast_le.2 <| card_le_card <| P.nonUniforms_mono G h).trans hP).trans <| by gcongr
omit [IsStrictOrderedRing 𝕜] in
theorem isUniformOfEmpty (hP : P.parts = ∅) : P.IsUniform G ε := by
simp [IsUniform, hP, nonUniforms]
omit [IsStrictOrderedRing 𝕜] in
theorem nonempty_of_not_uniform (h : ¬P.IsUniform G ε) : P.parts.Nonempty :=
nonempty_of_ne_empty fun h₁ => h <| isUniformOfEmpty h₁
variable (P G ε) (s : Finset α)
/-- A choice of witnesses of non-uniformity among the parts of a finpartition. -/
noncomputable def nonuniformWitnesses : Finset (Finset α) :=
{t ∈ P.parts | s ≠ t ∧ ¬G.IsUniform ε s t}.image (G.nonuniformWitness ε s)
variable {P G ε s} {t : Finset α}
theorem nonuniformWitness_mem_nonuniformWitnesses (h : ¬G.IsUniform ε s t) (ht : t ∈ P.parts)
(hst : s ≠ t) : G.nonuniformWitness ε s t ∈ P.nonuniformWitnesses G ε s :=
mem_image_of_mem _ <| mem_filter.2 ⟨ht, hst, h⟩
/-! ### Equipartitions -/
open SimpleGraph in
lemma IsEquipartition.card_interedges_sparsePairs_le' (hP : P.IsEquipartition)
(hε : 0 ≤ ε) :
#((P.sparsePairs G ε).biUnion fun (U, V) ↦ G.interedges U V) ≤ ε * (#A + #P.parts) ^ 2 := by
calc
_ ≤ ∑ UV ∈ P.sparsePairs G ε, (#(G.interedges UV.1 UV.2) : 𝕜) := mod_cast card_biUnion_le
_ ≤ ∑ UV ∈ P.sparsePairs G ε, ε * (#UV.1 * #UV.2) := ?_
_ ≤ _ := sum_le_sum_of_subset_of_nonneg (filter_subset _ _) fun i _ _ ↦ by positivity
_ = _ := (mul_sum _ _ _).symm
_ ≤ _ := mul_le_mul_of_nonneg_left ?_ hε
· gcongr with UV hUV
obtain ⟨U, V⟩ := UV
simp [mk_mem_sparsePairs, ← card_interedges_div_card] at hUV
refine ((div_lt_iff₀ ?_).1 hUV.2.2.2).le
exact mul_pos (Nat.cast_pos.2 (P.nonempty_of_mem_parts hUV.1).card_pos)
(Nat.cast_pos.2 (P.nonempty_of_mem_parts hUV.2.1).card_pos)
norm_cast
calc
(_ : ℕ) ≤ _ := sum_le_card_nsmul P.parts.offDiag (fun i ↦ #i.1 * #i.2)
((#A / #P.parts + 1)^2 : ℕ) ?_
_ ≤ (#P.parts * (#A / #P.parts) + #P.parts) ^ 2 := ?_
_ ≤ _ := Nat.pow_le_pow_left (add_le_add_right (Nat.mul_div_le _ _) _) _
· simp only [Prod.forall, Finpartition.mk_mem_nonUniforms, and_imp, mem_offDiag, sq]
rintro U V hU hV -
exact_mod_cast Nat.mul_le_mul (hP.card_part_le_average_add_one hU)
(hP.card_part_le_average_add_one hV)
· rw [smul_eq_mul, offDiag_card, Nat.mul_sub_right_distrib, ← sq, ← mul_pow, mul_add_one (α := ℕ)]
exact Nat.sub_le _ _
lemma IsEquipartition.card_interedges_sparsePairs_le (hP : P.IsEquipartition) (hε : 0 ≤ ε) :
#((P.sparsePairs G ε).biUnion fun (U, V) ↦ G.interedges U V) ≤ 4 * ε * #A ^ 2 := by
calc
_ ≤ _ := hP.card_interedges_sparsePairs_le' hε
_ ≤ ε * (#A + #A)^2 := by gcongr; exact P.card_parts_le_card
_ = _ := by ring
private lemma aux {i j : ℕ} (hj : 0 < j) : j * (j - 1) * (i / j + 1) ^ 2 < (i + j) ^ 2 := by
have : j * (j - 1) < j ^ 2 := by
rw [sq]; exact Nat.mul_lt_mul_of_pos_left (Nat.sub_lt hj zero_lt_one) hj
apply (Nat.mul_lt_mul_of_pos_right this <| pow_pos Nat.succ_pos' _).trans_le
rw [← mul_pow]
exact Nat.pow_le_pow_left (add_le_add_right (Nat.mul_div_le i j) _) _
lemma IsEquipartition.card_biUnion_offDiag_le' (hP : P.IsEquipartition) :
(#(P.parts.biUnion offDiag) : 𝕜) ≤ #A * (#A + #P.parts) / #P.parts := by
obtain h | h := P.parts.eq_empty_or_nonempty
· simp [h]
calc
_ ≤ (#P.parts : 𝕜) * (↑(#A / #P.parts) * ↑(#A / #P.parts + 1)) :=
mod_cast card_biUnion_le_card_mul _ _ _ fun U hU ↦ ?_
_ = #P.parts * ↑(#A / #P.parts) * ↑(#A / #P.parts + 1) := by rw [mul_assoc]
_ ≤ #A * (#A / #P.parts + 1) :=
mul_le_mul (mod_cast Nat.mul_div_le _ _) ?_ (by positivity) (by positivity)
_ = _ := by rw [← div_add_same (mod_cast h.card_pos.ne'), mul_div_assoc]
· simpa using Nat.cast_div_le
suffices (#U - 1) * #U ≤ #A / #P.parts * (#A / #P.parts + 1) by
rwa [Nat.mul_sub_right_distrib, one_mul, ← offDiag_card] at this
have := hP.card_part_le_average_add_one hU
refine Nat.mul_le_mul ((Nat.sub_le_sub_right this 1).trans ?_) this
simp only [Nat.add_succ_sub_one, add_zero, card_univ, le_rfl]
lemma IsEquipartition.card_biUnion_offDiag_le (hε : 0 < ε) (hP : P.IsEquipartition)
(hP' : 4 / ε ≤ #P.parts) : #(P.parts.biUnion offDiag) ≤ ε / 2 * #A ^ 2 := by
obtain rfl | hA : A = ⊥ ∨ _ := A.eq_empty_or_nonempty
· simp [Subsingleton.elim P ⊥]
apply hP.card_biUnion_offDiag_le'.trans
rw [div_le_iff₀ (Nat.cast_pos.2 (P.parts_nonempty hA.ne_empty).card_pos)]
have : (#A : 𝕜) + #P.parts ≤ 2 * #A := by
rw [two_mul]; exact add_le_add_left (Nat.cast_le.2 P.card_parts_le_card) _
refine (mul_le_mul_of_nonneg_left this <| by positivity).trans ?_
suffices 1 ≤ ε/4 * #P.parts by
rw [mul_left_comm, ← sq]
convert mul_le_mul_of_nonneg_left this (mul_nonneg zero_le_two <| sq_nonneg (#A : 𝕜))
using 1 <;> ring
rwa [← div_le_iff₀', one_div_div]
positivity
lemma IsEquipartition.sum_nonUniforms_lt' (hA : A.Nonempty) (hε : 0 < ε) (hP : P.IsEquipartition)
(hG : P.IsUniform G ε) :
∑ i ∈ P.nonUniforms G ε, (#i.1 * #i.2 : 𝕜) < ε * (#A + #P.parts) ^ 2 := by
calc
_ ≤ #(P.nonUniforms G ε) • (↑(#A / #P.parts + 1) : 𝕜) ^ 2 :=
sum_le_card_nsmul _ _ _ ?_
_ = _ := nsmul_eq_mul _ _
_ ≤ _ := mul_le_mul_of_nonneg_right hG <| by positivity
_ < _ := ?_
· simp only [Prod.forall, Finpartition.mk_mem_nonUniforms, and_imp]
rintro U V hU hV - -
rw [sq, ← Nat.cast_mul, ← Nat.cast_mul, Nat.cast_le]
exact Nat.mul_le_mul (hP.card_part_le_average_add_one hU)
(hP.card_part_le_average_add_one hV)
· rw [mul_right_comm _ ε, mul_comm ε]
apply mul_lt_mul_of_pos_right _ hε
norm_cast
exact aux (P.parts_nonempty hA.ne_empty).card_pos
lemma IsEquipartition.sum_nonUniforms_lt (hA : A.Nonempty) (hε : 0 < ε) (hP : P.IsEquipartition)
(hG : P.IsUniform G ε) :
#((P.nonUniforms G ε).biUnion fun (U, V) ↦ U ×ˢ V) < 4 * ε * #A ^ 2 := by
calc
_ ≤ ∑ i ∈ P.nonUniforms G ε, (#i.1 * #i.2 : 𝕜) := by
norm_cast; simp_rw [← card_product]; exact card_biUnion_le
_ < _ := hP.sum_nonUniforms_lt' hA hε hG
_ ≤ ε * (#A + #A) ^ 2 := by gcongr; exact P.card_parts_le_card
_ = _ := by ring
end Finpartition
/-! ### Reduced graph -/
namespace SimpleGraph
/-- The reduction of the graph `G` along partition `P` has edges between `ε`-uniform pairs of parts
that have edge density at least `δ`. -/
@[simps] def regularityReduced (ε δ : 𝕜) : SimpleGraph α where
Adj a b := G.Adj a b ∧
∃ U ∈ P.parts, ∃ V ∈ P.parts, a ∈ U ∧ b ∈ V ∧ U ≠ V ∧ G.IsUniform ε U V ∧ δ ≤ G.edgeDensity U V
symm a b := by
rintro ⟨ab, U, UP, V, VP, xU, yV, UV, GUV, εUV⟩
refine ⟨G.symm ab, V, VP, U, UP, yV, xU, UV.symm, GUV.symm, ?_⟩
rwa [edgeDensity_comm]
loopless a h := G.loopless a h.1
| instance regularityReduced.instDecidableRel_adj : DecidableRel (G.regularityReduced P ε δ).Adj := by
unfold regularityReduced; infer_instance
variable {G P}
omit [IsStrictOrderedRing 𝕜] in
lemma regularityReduced_le : G.regularityReduced P ε δ ≤ G := fun _ _ ↦ And.left
lemma regularityReduced_mono {ε₁ ε₂ : 𝕜} (hε : ε₁ ≤ ε₂) :
| Mathlib/Combinatorics/SimpleGraph/Regularity/Uniform.lean | 394 | 402 |
/-
Copyright (c) 2023 Xavier Roblot. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Xavier Roblot
-/
import Mathlib.LinearAlgebra.Matrix.Gershgorin
import Mathlib.NumberTheory.NumberField.CanonicalEmbedding.ConvexBody
import Mathlib.NumberTheory.NumberField.Units.Basic
/-!
# Dirichlet theorem on the group of units of a number field
This file is devoted to the proof of Dirichlet unit theorem that states that the group of
units `(𝓞 K)ˣ` of units of the ring of integers `𝓞 K` of a number field `K` modulo its torsion
subgroup is a free `ℤ`-module of rank `card (InfinitePlace K) - 1`.
## Main definitions
* `NumberField.Units.rank`: the unit rank of the number field `K`.
* `NumberField.Units.fundSystem`: a fundamental system of units of `K`.
* `NumberField.Units.basisModTorsion`: a `ℤ`-basis of `(𝓞 K)ˣ ⧸ (torsion K)`
as an additive `ℤ`-module.
## Main results
* `NumberField.Units.rank_modTorsion`: the `ℤ`-rank of `(𝓞 K)ˣ ⧸ (torsion K)` is equal to
`card (InfinitePlace K) - 1`.
* `NumberField.Units.exist_unique_eq_mul_prod`: **Dirichlet Unit Theorem**. Any unit of `𝓞 K`
can be written uniquely as the product of a root of unity and powers of the units of the
fundamental system `fundSystem`.
## Tags
number field, units, Dirichlet unit theorem
-/
open scoped NumberField
noncomputable section
open NumberField NumberField.InfinitePlace NumberField.Units
variable (K : Type*) [Field K]
namespace NumberField.Units.dirichletUnitTheorem
/-!
### Dirichlet Unit Theorem
We define a group morphism from `(𝓞 K)ˣ` to `logSpace K`, defined as
`{w : InfinitePlace K // w ≠ w₀} → ℝ` where `w₀` is a distinguished (arbitrary) infinite place,
prove that its kernel is the torsion subgroup (see `logEmbedding_eq_zero_iff`) and that its image,
called `unitLattice`, is a full `ℤ`-lattice. It follows that `unitLattice` is a free `ℤ`-module
(see `instModuleFree_unitLattice`) of rank `card (InfinitePlaces K) - 1` (see `unitLattice_rank`).
To prove that the `unitLattice` is a full `ℤ`-lattice, we need to prove that it is discrete
(see `unitLattice_inter_ball_finite`) and that it spans the full space over `ℝ`
(see `unitLattice_span_eq_top`); this is the main part of the proof, see the section `span_top`
below for more details.
-/
open Finset
variable {K}
section NumberField
variable [NumberField K]
/-- The distinguished infinite place. -/
def w₀ : InfinitePlace K := (inferInstance : Nonempty (InfinitePlace K)).some
variable (K) in
/-- The `logSpace` is defined as `{w : InfinitePlace K // w ≠ w₀} → ℝ` where `w₀` is the
distinguished infinite place. -/
abbrev logSpace := {w : InfinitePlace K // w ≠ w₀} → ℝ
variable (K) in
/-- The logarithmic embedding of the units (seen as an `Additive` group). -/
def _root_.NumberField.Units.logEmbedding :
Additive ((𝓞 K)ˣ) →+ logSpace K :=
{ toFun := fun x w => mult w.val * Real.log (w.val ↑x.toMul)
map_zero' := by simp; rfl
map_add' := fun _ _ => by simp [Real.log_mul, mul_add]; rfl }
@[simp]
| theorem logEmbedding_component (x : (𝓞 K)ˣ) (w : {w : InfinitePlace K // w ≠ w₀}) :
(logEmbedding K (Additive.ofMul x)) w = mult w.val * Real.log (w.val x) := rfl
open scoped Classical in
theorem sum_logEmbedding_component (x : (𝓞 K)ˣ) :
∑ w, logEmbedding K (Additive.ofMul x) w =
- mult (w₀ : InfinitePlace K) * Real.log (w₀ (x : K)) := by
have h := sum_mult_mul_log x
rw [Fintype.sum_eq_add_sum_subtype_ne _ w₀, add_comm, add_eq_zero_iff_eq_neg, ← neg_mul] at h
simpa [logEmbedding_component] using h
end NumberField
| Mathlib/NumberTheory/NumberField/Units/DirichletTheorem.lean | 87 | 98 |
/-
Copyright (c) 2024 Markus Himmel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Markus Himmel
-/
import Mathlib.CategoryTheory.Filtered.Connected
import Mathlib.CategoryTheory.Limits.Types.Filtered
import Mathlib.CategoryTheory.Limits.Sifted
/-!
# Final functors with filtered (co)domain
If `C` is a filtered category, then the usual equivalent conditions for a functor `F : C ⥤ D` to be
final can be restated. We show:
* `final_iff_of_isFiltered`: a concrete description of finality which is sometimes a convenient way
to show that a functor is final.
* `final_iff_isFiltered_structuredArrow`: `F` is final if and only if `StructuredArrow d F` is
filtered for all `d : D`, which strengthens the usual statement that `F` is final if and only
if `StructuredArrow d F` is connected for all `d : D`.
* Under categories of objects of filtered categories are filtered and their forgetful functors
are final.
* If `D` is a filtered category and `F : C ⥤ D` is fully faithful and satisfies the additional
condition that for every `d : D` there is an object `c : D` and a morphism `d ⟶ F.obj c`, then
`C` is filtered and `F` is final.
* Finality and initiality of diagonal functors `diag : C ⥤ C × C` and of projection functors
of (co)structured arrow categories.
* Finality of `StructuredArrow.post`, given the finality of its arguments.
## References
* [M. Kashiwara, P. Schapira, *Categories and Sheaves*][Kashiwara2006], Section 3.2
-/
universe v₁ v₂ v₃ u₁ u₂ u₃
namespace CategoryTheory
open CategoryTheory.Limits CategoryTheory.Functor Opposite
variable {C : Type u₁} [Category.{v₁} C] {D : Type u₂} [Category.{v₂} D] (F : C ⥤ D)
/-- If `StructuredArrow d F` is filtered for any `d : D`, then `F : C ⥤ D` is final. This is
simply because filtered categories are connected. More profoundly, the converse is also true if
`C` is filtered, see `final_iff_isFiltered_structuredArrow`. -/
theorem Functor.final_of_isFiltered_structuredArrow [∀ d, IsFiltered (StructuredArrow d F)] :
Final F where
out _ := IsFiltered.isConnected _
/-- If `CostructuredArrow F d` is filtered for any `d : D`, then `F : C ⥤ D` is initial. This is
simply because cofiltered categories are connectged. More profoundly, the converse is also true
if `C` is cofiltered, see `initial_iff_isCofiltered_costructuredArrow`. -/
theorem Functor.initial_of_isCofiltered_costructuredArrow
[∀ d, IsCofiltered (CostructuredArrow F d)] : Initial F where
out _ := IsCofiltered.isConnected _
theorem isFiltered_structuredArrow_of_isFiltered_of_exists [IsFilteredOrEmpty C]
(h₁ : ∀ d, ∃ c, Nonempty (d ⟶ F.obj c)) (h₂ : ∀ {d : D} {c : C} (s s' : d ⟶ F.obj c),
∃ (c' : C) (t : c ⟶ c'), s ≫ F.map t = s' ≫ F.map t) (d : D) :
IsFiltered (StructuredArrow d F) := by
have : Nonempty (StructuredArrow d F) := by
obtain ⟨c, ⟨f⟩⟩ := h₁ d
exact ⟨.mk f⟩
suffices IsFilteredOrEmpty (StructuredArrow d F) from IsFiltered.mk
refine ⟨fun f g => ?_, fun f g η μ => ?_⟩
· obtain ⟨c, ⟨t, ht⟩⟩ := h₂ (f.hom ≫ F.map (IsFiltered.leftToMax f.right g.right))
(g.hom ≫ F.map (IsFiltered.rightToMax f.right g.right))
refine ⟨.mk (f.hom ≫ F.map (IsFiltered.leftToMax f.right g.right ≫ t)), ?_, ?_, trivial⟩
· exact StructuredArrow.homMk (IsFiltered.leftToMax _ _ ≫ t) rfl
· exact StructuredArrow.homMk (IsFiltered.rightToMax _ _ ≫ t) (by simpa using ht.symm)
· refine ⟨.mk (f.hom ≫ F.map (η.right ≫ IsFiltered.coeqHom η.right μ.right)),
StructuredArrow.homMk (IsFiltered.coeqHom η.right μ.right) (by simp), ?_⟩
simpa using IsFiltered.coeq_condition _ _
theorem isCofiltered_costructuredArrow_of_isCofiltered_of_exists [IsCofilteredOrEmpty C]
(h₁ : ∀ d, ∃ c, Nonempty (F.obj c ⟶ d)) (h₂ : ∀ {d : D} {c : C} (s s' : F.obj c ⟶ d),
∃ (c' : C) (t : c' ⟶ c), F.map t ≫ s = F.map t ≫ s') (d : D) :
IsCofiltered (CostructuredArrow F d) := by
suffices IsFiltered (CostructuredArrow F d)ᵒᵖ from isCofiltered_of_isFiltered_op _
suffices IsFiltered (StructuredArrow (op d) F.op) from
IsFiltered.of_equivalence (costructuredArrowOpEquivalence _ _).symm
apply isFiltered_structuredArrow_of_isFiltered_of_exists
· intro d
obtain ⟨c, ⟨t⟩⟩ := h₁ d.unop
exact ⟨op c, ⟨Quiver.Hom.op t⟩⟩
· intro d c s s'
obtain ⟨c', t, ht⟩ := h₂ s.unop s'.unop
exact ⟨op c', Quiver.Hom.op t, Quiver.Hom.unop_inj ht⟩
/-- If `C` is filtered, then we can give an explicit condition for a functor `F : C ⥤ D` to
be final. The converse is also true, see `final_iff_of_isFiltered`. -/
theorem Functor.final_of_exists_of_isFiltered [IsFilteredOrEmpty C]
(h₁ : ∀ d, ∃ c, Nonempty (d ⟶ F.obj c)) (h₂ : ∀ {d : D} {c : C} (s s' : d ⟶ F.obj c),
∃ (c' : C) (t : c ⟶ c'), s ≫ F.map t = s' ≫ F.map t) : Functor.Final F := by
suffices ∀ d, IsFiltered (StructuredArrow d F) from final_of_isFiltered_structuredArrow F
exact isFiltered_structuredArrow_of_isFiltered_of_exists F h₁ h₂
/-- The inclusion of a terminal object is final. -/
theorem Functor.final_const_of_isTerminal [IsFiltered C] {X : D} (hX : IsTerminal X) :
((Functor.const C).obj X).Final :=
Functor.final_of_exists_of_isFiltered _ (fun _ => ⟨IsFiltered.nonempty.some, ⟨hX.from _⟩⟩)
(fun {_ c} _ _ => ⟨c, 𝟙 _, hX.hom_ext _ _⟩)
/-- The inclusion of the terminal object is final. -/
theorem Functor.final_const_terminal [IsFiltered C] [HasTerminal D] :
((Functor.const C).obj (⊤_ D)).Final :=
Functor.final_const_of_isTerminal terminalIsTerminal
/-- If `C` is cofiltered, then we can give an explicit condition for a functor `F : C ⥤ D` to
be final. The converse is also true, see `initial_iff_of_isCofiltered`. -/
theorem Functor.initial_of_exists_of_isCofiltered [IsCofilteredOrEmpty C]
(h₁ : ∀ d, ∃ c, Nonempty (F.obj c ⟶ d)) (h₂ : ∀ {d : D} {c : C} (s s' : F.obj c ⟶ d),
∃ (c' : C) (t : c' ⟶ c), F.map t ≫ s = F.map t ≫ s') : Functor.Initial F := by
suffices ∀ d, IsCofiltered (CostructuredArrow F d) from
initial_of_isCofiltered_costructuredArrow F
exact isCofiltered_costructuredArrow_of_isCofiltered_of_exists F h₁ h₂
/-- The inclusion of an initial object is initial. -/
theorem Functor.initial_const_of_isInitial [IsCofiltered C] {X : D} (hX : IsInitial X) :
((Functor.const C).obj X).Initial :=
Functor.initial_of_exists_of_isCofiltered _ (fun _ => ⟨IsCofiltered.nonempty.some, ⟨hX.to _⟩⟩)
(fun {_ c} _ _ => ⟨c, 𝟙 _, hX.hom_ext _ _⟩)
/-- The inclusion of the initial object is initial. -/
theorem Functor.initial_const_initial [IsCofiltered C] [HasInitial D] :
((Functor.const C).obj (⊥_ D)).Initial :=
Functor.initial_const_of_isInitial initialIsInitial
/-- In this situation, `F` is also final, see
`Functor.final_of_exists_of_isFiltered_of_fullyFaithful`. -/
theorem IsFilteredOrEmpty.of_exists_of_isFiltered_of_fullyFaithful [IsFilteredOrEmpty D] [F.Full]
[F.Faithful] (h : ∀ d, ∃ c, Nonempty (d ⟶ F.obj c)) : IsFilteredOrEmpty C where
cocone_objs c c' := by
obtain ⟨c₀, ⟨f⟩⟩ := h (IsFiltered.max (F.obj c) (F.obj c'))
exact ⟨c₀, F.preimage (IsFiltered.leftToMax _ _ ≫ f),
F.preimage (IsFiltered.rightToMax _ _ ≫ f), trivial⟩
cocone_maps {c c'} f g := by
obtain ⟨c₀, ⟨f₀⟩⟩ := h (IsFiltered.coeq (F.map f) (F.map g))
refine ⟨_, F.preimage (IsFiltered.coeqHom (F.map f) (F.map g) ≫ f₀), F.map_injective ?_⟩
simp [reassoc_of% (IsFiltered.coeq_condition (F.map f) (F.map g))]
/-- In this situation, `F` is also initial, see
`Functor.initial_of_exists_of_isCofiltered_of_fullyFaithful`. -/
theorem IsCofilteredOrEmpty.of_exists_of_isCofiltered_of_fullyFaithful [IsCofilteredOrEmpty D]
[F.Full] [F.Faithful] (h : ∀ d, ∃ c, Nonempty (F.obj c ⟶ d)) : IsCofilteredOrEmpty C := by
suffices IsFilteredOrEmpty Cᵒᵖ from isCofilteredOrEmpty_of_isFilteredOrEmpty_op _
refine IsFilteredOrEmpty.of_exists_of_isFiltered_of_fullyFaithful F.op (fun d => ?_)
obtain ⟨c, ⟨f⟩⟩ := h d.unop
exact ⟨op c, ⟨f.op⟩⟩
/-- In this situation, `F` is also final, see
`Functor.final_of_exists_of_isFiltered_of_fullyFaithful`. -/
theorem IsFiltered.of_exists_of_isFiltered_of_fullyFaithful [IsFiltered D] [F.Full] [F.Faithful]
(h : ∀ d, ∃ c, Nonempty (d ⟶ F.obj c)) : IsFiltered C :=
{ IsFilteredOrEmpty.of_exists_of_isFiltered_of_fullyFaithful F h with
nonempty := by
have : Nonempty D := IsFiltered.nonempty
obtain ⟨c, -⟩ := h (Classical.arbitrary D)
exact ⟨c⟩ }
/-- In this situation, `F` is also initial, see
`Functor.initial_of_exists_of_isCofiltered_of_fullyFaithful`. -/
theorem IsCofiltered.of_exists_of_isCofiltered_of_fullyFaithful [IsCofiltered D] [F.Full]
[F.Faithful] (h : ∀ d, ∃ c, Nonempty (F.obj c ⟶ d)) : IsCofiltered C :=
{ IsCofilteredOrEmpty.of_exists_of_isCofiltered_of_fullyFaithful F h with
nonempty := by
have : Nonempty D := IsCofiltered.nonempty
obtain ⟨c, -⟩ := h (Classical.arbitrary D)
exact ⟨c⟩ }
/-- In this situation, `C` is also filtered, see
`IsFilteredOrEmpty.of_exists_of_isFiltered_of_fullyFaithful`. -/
theorem Functor.final_of_exists_of_isFiltered_of_fullyFaithful [IsFilteredOrEmpty D] [F.Full]
| [F.Faithful] (h : ∀ d, ∃ c, Nonempty (d ⟶ F.obj c)) : Final F := by
have := IsFilteredOrEmpty.of_exists_of_isFiltered_of_fullyFaithful F h
refine Functor.final_of_exists_of_isFiltered F h (fun {d c} s s' => ?_)
obtain ⟨c₀, ⟨f⟩⟩ := h (IsFiltered.coeq s s')
refine ⟨c₀, F.preimage (IsFiltered.coeqHom s s' ≫ f), ?_⟩
simp [reassoc_of% (IsFiltered.coeq_condition s s')]
/-- In this situation, `C` is also cofiltered, see
`IsCofilteredOrEmpty.of_exists_of_isCofiltered_of_fullyFaithful`. -/
theorem Functor.initial_of_exists_of_isCofiltered_of_fullyFaithful [IsCofilteredOrEmpty D] [F.Full]
[Faithful F] (h : ∀ d, ∃ c, Nonempty (F.obj c ⟶ d)) : Initial F := by
suffices Final F.op from initial_of_final_op _
refine Functor.final_of_exists_of_isFiltered_of_fullyFaithful F.op (fun d => ?_)
obtain ⟨c, ⟨f⟩⟩ := h d.unop
exact ⟨op c, ⟨f.op⟩⟩
| Mathlib/CategoryTheory/Filtered/Final.lean | 175 | 190 |
/-
Copyright (c) 2021 Aaron Anderson, Jesse Michael Han, Floris van Doorn. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Aaron Anderson, Jesse Michael Han, Floris van Doorn
-/
import Mathlib.Data.Finset.Basic
import Mathlib.ModelTheory.Syntax
import Mathlib.Data.List.ProdSigma
/-!
# Basics on First-Order Semantics
This file defines the interpretations of first-order terms, formulas, sentences, and theories
in a style inspired by the [Flypitch project](https://flypitch.github.io/).
## Main Definitions
- `FirstOrder.Language.Term.realize` is defined so that `t.realize v` is the term `t` evaluated at
variables `v`.
- `FirstOrder.Language.BoundedFormula.Realize` is defined so that `φ.Realize v xs` is the bounded
formula `φ` evaluated at tuples of variables `v` and `xs`.
- `FirstOrder.Language.Formula.Realize` is defined so that `φ.Realize v` is the formula `φ`
evaluated at variables `v`.
- `FirstOrder.Language.Sentence.Realize` is defined so that `φ.Realize M` is the sentence `φ`
evaluated in the structure `M`. Also denoted `M ⊨ φ`.
- `FirstOrder.Language.Theory.Model` is defined so that `T.Model M` is true if and only if every
sentence of `T` is realized in `M`. Also denoted `T ⊨ φ`.
## Main Results
- Several results in this file show that syntactic constructions such as `relabel`, `castLE`,
`liftAt`, `subst`, and the actions of language maps commute with realization of terms, formulas,
sentences, and theories.
## Implementation Notes
- Formulas use a modified version of de Bruijn variables. Specifically, a `L.BoundedFormula α n`
is a formula with some variables indexed by a type `α`, which cannot be quantified over, and some
indexed by `Fin n`, which can. For any `φ : L.BoundedFormula α (n + 1)`, we define the formula
`∀' φ : L.BoundedFormula α n` by universally quantifying over the variable indexed by
`n : Fin (n + 1)`.
## References
For the Flypitch project:
- [J. Han, F. van Doorn, *A formal proof of the independence of the continuum hypothesis*]
[flypitch_cpp]
- [J. Han, F. van Doorn, *A formalization of forcing and the unprovability of
the continuum hypothesis*][flypitch_itp]
-/
universe u v w u' v'
namespace FirstOrder
namespace Language
variable {L : Language.{u, v}} {L' : Language}
variable {M : Type w} {N P : Type*} [L.Structure M] [L.Structure N] [L.Structure P]
variable {α : Type u'} {β : Type v'} {γ : Type*}
open FirstOrder Cardinal
open Structure Cardinal Fin
namespace Term
/-- A term `t` with variables indexed by `α` can be evaluated by giving a value to each variable. -/
def realize (v : α → M) : ∀ _t : L.Term α, M
| var k => v k
| func f ts => funMap f fun i => (ts i).realize v
@[simp]
theorem realize_var (v : α → M) (k) : realize v (var k : L.Term α) = v k := rfl
@[simp]
theorem realize_func (v : α → M) {n} (f : L.Functions n) (ts) :
realize v (func f ts : L.Term α) = funMap f fun i => (ts i).realize v := rfl
@[simp]
theorem realize_relabel {t : L.Term α} {g : α → β} {v : β → M} :
(t.relabel g).realize v = t.realize (v ∘ g) := by
induction t with
| var => rfl
| func f ts ih => simp [ih]
@[simp]
theorem realize_liftAt {n n' m : ℕ} {t : L.Term (α ⊕ (Fin n))} {v : α ⊕ (Fin (n + n')) → M} :
(t.liftAt n' m).realize v =
t.realize (v ∘ Sum.map id fun i : Fin _ =>
if ↑i < m then Fin.castAdd n' i else Fin.addNat i n') :=
realize_relabel
@[simp]
theorem realize_constants {c : L.Constants} {v : α → M} : c.term.realize v = c :=
funMap_eq_coe_constants
@[simp]
theorem realize_functions_apply₁ {f : L.Functions 1} {t : L.Term α} {v : α → M} :
(f.apply₁ t).realize v = funMap f ![t.realize v] := by
rw [Functions.apply₁, Term.realize]
refine congr rfl (funext fun i => ?_)
simp only [Matrix.cons_val_fin_one]
@[simp]
theorem realize_functions_apply₂ {f : L.Functions 2} {t₁ t₂ : L.Term α} {v : α → M} :
(f.apply₂ t₁ t₂).realize v = funMap f ![t₁.realize v, t₂.realize v] := by
rw [Functions.apply₂, Term.realize]
refine congr rfl (funext (Fin.cases ?_ ?_))
· simp only [Matrix.cons_val_zero]
· simp only [Matrix.cons_val_succ, Matrix.cons_val_fin_one, forall_const]
theorem realize_con {A : Set M} {a : A} {v : α → M} : (L.con a).term.realize v = a :=
rfl
@[simp]
theorem realize_subst {t : L.Term α} {tf : α → L.Term β} {v : β → M} :
(t.subst tf).realize v = t.realize fun a => (tf a).realize v := by
induction t with
| var => rfl
| func _ _ ih => simp [ih]
theorem realize_restrictVar [DecidableEq α] {t : L.Term α} {f : t.varFinset → β}
{v : β → M} (v' : α → M) (hv' : ∀ a, v (f a) = v' a) :
(t.restrictVar f).realize v = t.realize v' := by
induction t with
| var => simp [restrictVar, hv']
| func _ _ ih =>
exact congr rfl (funext fun i => ih i ((by simp [Function.comp_apply, hv'])))
/-- A special case of `realize_restrictVar`, included because we can add the `simp` attribute
to it -/
@[simp]
theorem realize_restrictVar' [DecidableEq α] {t : L.Term α} {s : Set α} (h : ↑t.varFinset ⊆ s)
{v : α → M} : (t.restrictVar (Set.inclusion h)).realize (v ∘ (↑)) = t.realize v :=
realize_restrictVar _ (by simp)
theorem realize_restrictVarLeft [DecidableEq α] {γ : Type*} {t : L.Term (α ⊕ γ)}
{f : t.varFinsetLeft → β}
{xs : β ⊕ γ → M} (xs' : α → M) (hxs' : ∀ a, xs (Sum.inl (f a)) = xs' a) :
(t.restrictVarLeft f).realize xs = t.realize (Sum.elim xs' (xs ∘ Sum.inr)) := by
induction t with
| var a => cases a <;> simp [restrictVarLeft, hxs']
| func _ _ ih =>
exact congr rfl (funext fun i => ih i (by simp [hxs']))
/-- A special case of `realize_restrictVarLeft`, included because we can add the `simp` attribute
to it -/
@[simp]
theorem realize_restrictVarLeft' [DecidableEq α] {γ : Type*} {t : L.Term (α ⊕ γ)} {s : Set α}
(h : ↑t.varFinsetLeft ⊆ s) {v : α → M} {xs : γ → M} :
(t.restrictVarLeft (Set.inclusion h)).realize (Sum.elim (v ∘ (↑)) xs) =
t.realize (Sum.elim v xs) :=
realize_restrictVarLeft _ (by simp)
@[simp]
theorem realize_constantsToVars [L[[α]].Structure M] [(lhomWithConstants L α).IsExpansionOn M]
{t : L[[α]].Term β} {v : β → M} :
t.constantsToVars.realize (Sum.elim (fun a => ↑(L.con a)) v) = t.realize v := by
induction t with
| var => simp
| @func n f ts ih =>
cases n
· cases f
· simp only [realize, ih, constantsOn, constantsOnFunc, constantsToVars]
-- Porting note: below lemma does not work with simp for some reason
rw [withConstants_funMap_sumInl]
· simp only [realize, constantsToVars, Sum.elim_inl, funMap_eq_coe_constants]
rfl
· obtain - | f := f
· simp only [realize, ih, constantsOn, constantsOnFunc, constantsToVars]
-- Porting note: below lemma does not work with simp for some reason
rw [withConstants_funMap_sumInl]
· exact isEmptyElim f
@[simp]
theorem realize_varsToConstants [L[[α]].Structure M] [(lhomWithConstants L α).IsExpansionOn M]
{t : L.Term (α ⊕ β)} {v : β → M} :
t.varsToConstants.realize v = t.realize (Sum.elim (fun a => ↑(L.con a)) v) := by
induction t with
| var ab => rcases ab with a | b <;> simp [Language.con]
| func f ts ih =>
simp only [realize, constantsOn, constantsOnFunc, ih, varsToConstants]
-- Porting note: below lemma does not work with simp for some reason
rw [withConstants_funMap_sumInl]
theorem realize_constantsVarsEquivLeft [L[[α]].Structure M]
[(lhomWithConstants L α).IsExpansionOn M] {n} {t : L[[α]].Term (β ⊕ (Fin n))} {v : β → M}
{xs : Fin n → M} :
(constantsVarsEquivLeft t).realize (Sum.elim (Sum.elim (fun a => ↑(L.con a)) v) xs) =
t.realize (Sum.elim v xs) := by
simp only [constantsVarsEquivLeft, realize_relabel, Equiv.coe_trans, Function.comp_apply,
constantsVarsEquiv_apply, relabelEquiv_symm_apply]
refine _root_.trans ?_ realize_constantsToVars
rcongr x
rcases x with (a | (b | i)) <;> simp
end Term
namespace LHom
@[simp]
theorem realize_onTerm [L'.Structure M] (φ : L →ᴸ L') [φ.IsExpansionOn M] (t : L.Term α)
(v : α → M) : (φ.onTerm t).realize v = t.realize v := by
induction t with
| var => rfl
| func f ts ih => simp only [Term.realize, LHom.onTerm, LHom.map_onFunction, ih]
end LHom
@[simp]
theorem HomClass.realize_term {F : Type*} [FunLike F M N] [HomClass L F M N]
(g : F) {t : L.Term α} {v : α → M} :
t.realize (g ∘ v) = g (t.realize v) := by
induction t
· rfl
· rw [Term.realize, Term.realize, HomClass.map_fun]
refine congr rfl ?_
ext x
simp [*]
variable {n : ℕ}
namespace BoundedFormula
open Term
/-- A bounded formula can be evaluated as true or false by giving values to each free variable. -/
def Realize : ∀ {l} (_f : L.BoundedFormula α l) (_v : α → M) (_xs : Fin l → M), Prop
| _, falsum, _v, _xs => False
| _, equal t₁ t₂, v, xs => t₁.realize (Sum.elim v xs) = t₂.realize (Sum.elim v xs)
| _, rel R ts, v, xs => RelMap R fun i => (ts i).realize (Sum.elim v xs)
| _, imp f₁ f₂, v, xs => Realize f₁ v xs → Realize f₂ v xs
| _, all f, v, xs => ∀ x : M, Realize f v (snoc xs x)
variable {l : ℕ} {φ ψ : L.BoundedFormula α l} {θ : L.BoundedFormula α l.succ}
variable {v : α → M} {xs : Fin l → M}
@[simp]
theorem realize_bot : (⊥ : L.BoundedFormula α l).Realize v xs ↔ False :=
Iff.rfl
@[simp]
theorem realize_not : φ.not.Realize v xs ↔ ¬φ.Realize v xs :=
Iff.rfl
@[simp]
theorem realize_bdEqual (t₁ t₂ : L.Term (α ⊕ (Fin l))) :
(t₁.bdEqual t₂).Realize v xs ↔ t₁.realize (Sum.elim v xs) = t₂.realize (Sum.elim v xs) :=
Iff.rfl
@[simp]
theorem realize_top : (⊤ : L.BoundedFormula α l).Realize v xs ↔ True := by simp [Top.top]
@[simp]
theorem realize_inf : (φ ⊓ ψ).Realize v xs ↔ φ.Realize v xs ∧ ψ.Realize v xs := by
simp [Inf.inf, Realize]
@[simp]
theorem realize_foldr_inf (l : List (L.BoundedFormula α n)) (v : α → M) (xs : Fin n → M) :
(l.foldr (· ⊓ ·) ⊤).Realize v xs ↔ ∀ φ ∈ l, BoundedFormula.Realize φ v xs := by
induction' l with φ l ih
· simp
· simp [ih]
@[simp]
theorem realize_imp : (φ.imp ψ).Realize v xs ↔ φ.Realize v xs → ψ.Realize v xs := by
simp only [Realize]
@[simp]
theorem realize_rel {k : ℕ} {R : L.Relations k} {ts : Fin k → L.Term _} :
(R.boundedFormula ts).Realize v xs ↔ RelMap R fun i => (ts i).realize (Sum.elim v xs) :=
Iff.rfl
@[simp]
theorem realize_rel₁ {R : L.Relations 1} {t : L.Term _} :
(R.boundedFormula₁ t).Realize v xs ↔ RelMap R ![t.realize (Sum.elim v xs)] := by
rw [Relations.boundedFormula₁, realize_rel, iff_eq_eq]
refine congr rfl (funext fun _ => ?_)
simp only [Matrix.cons_val_fin_one]
@[simp]
theorem realize_rel₂ {R : L.Relations 2} {t₁ t₂ : L.Term _} :
(R.boundedFormula₂ t₁ t₂).Realize v xs ↔
RelMap R ![t₁.realize (Sum.elim v xs), t₂.realize (Sum.elim v xs)] := by
rw [Relations.boundedFormula₂, realize_rel, iff_eq_eq]
refine congr rfl (funext (Fin.cases ?_ ?_))
· simp only [Matrix.cons_val_zero]
· simp only [Matrix.cons_val_succ, Matrix.cons_val_fin_one, forall_const]
@[simp]
theorem realize_sup : (φ ⊔ ψ).Realize v xs ↔ φ.Realize v xs ∨ ψ.Realize v xs := by
simp only [realize, max, realize_not, eq_iff_iff]
tauto
@[simp]
theorem realize_foldr_sup (l : List (L.BoundedFormula α n)) (v : α → M) (xs : Fin n → M) :
(l.foldr (· ⊔ ·) ⊥).Realize v xs ↔ ∃ φ ∈ l, BoundedFormula.Realize φ v xs := by
induction' l with φ l ih
· simp
· simp_rw [List.foldr_cons, realize_sup, ih, List.mem_cons, or_and_right, exists_or,
exists_eq_left]
@[simp]
theorem realize_all : (all θ).Realize v xs ↔ ∀ a : M, θ.Realize v (Fin.snoc xs a) :=
Iff.rfl
@[simp]
theorem realize_ex : θ.ex.Realize v xs ↔ ∃ a : M, θ.Realize v (Fin.snoc xs a) := by
rw [BoundedFormula.ex, realize_not, realize_all, not_forall]
simp_rw [realize_not, Classical.not_not]
@[simp]
theorem realize_iff : (φ.iff ψ).Realize v xs ↔ (φ.Realize v xs ↔ ψ.Realize v xs) := by
simp only [BoundedFormula.iff, realize_inf, realize_imp, and_imp, ← iff_def]
theorem realize_castLE_of_eq {m n : ℕ} (h : m = n) {h' : m ≤ n} {φ : L.BoundedFormula α m}
{v : α → M} {xs : Fin n → M} : (φ.castLE h').Realize v xs ↔ φ.Realize v (xs ∘ Fin.cast h) := by
subst h
simp only [castLE_rfl, cast_refl, OrderIso.coe_refl, Function.comp_id]
theorem realize_mapTermRel_id [L'.Structure M]
{ft : ∀ n, L.Term (α ⊕ (Fin n)) → L'.Term (β ⊕ (Fin n))}
{fr : ∀ n, L.Relations n → L'.Relations n} {n} {φ : L.BoundedFormula α n} {v : α → M}
{v' : β → M} {xs : Fin n → M}
(h1 :
∀ (n) (t : L.Term (α ⊕ (Fin n))) (xs : Fin n → M),
(ft n t).realize (Sum.elim v' xs) = t.realize (Sum.elim v xs))
(h2 : ∀ (n) (R : L.Relations n) (x : Fin n → M), RelMap (fr n R) x = RelMap R x) :
(φ.mapTermRel ft fr fun _ => id).Realize v' xs ↔ φ.Realize v xs := by
induction φ with
| falsum => rfl
| equal => simp [mapTermRel, Realize, h1]
| rel => simp [mapTermRel, Realize, h1, h2]
| imp _ _ ih1 ih2 => simp [mapTermRel, Realize, ih1, ih2]
| all _ ih => simp only [mapTermRel, Realize, ih, id]
theorem realize_mapTermRel_add_castLe [L'.Structure M] {k : ℕ}
{ft : ∀ n, L.Term (α ⊕ (Fin n)) → L'.Term (β ⊕ (Fin (k + n)))}
{fr : ∀ n, L.Relations n → L'.Relations n} {n} {φ : L.BoundedFormula α n}
(v : ∀ {n}, (Fin (k + n) → M) → α → M) {v' : β → M} (xs : Fin (k + n) → M)
(h1 :
∀ (n) (t : L.Term (α ⊕ (Fin n))) (xs' : Fin (k + n) → M),
(ft n t).realize (Sum.elim v' xs') = t.realize (Sum.elim (v xs') (xs' ∘ Fin.natAdd _)))
(h2 : ∀ (n) (R : L.Relations n) (x : Fin n → M), RelMap (fr n R) x = RelMap R x)
(hv : ∀ (n) (xs : Fin (k + n) → M) (x : M), @v (n + 1) (snoc xs x : Fin _ → M) = v xs) :
(φ.mapTermRel ft fr fun _ => castLE (add_assoc _ _ _).symm.le).Realize v' xs ↔
φ.Realize (v xs) (xs ∘ Fin.natAdd _) := by
induction φ with
| falsum => rfl
| equal => simp [mapTermRel, Realize, h1]
| rel => simp [mapTermRel, Realize, h1, h2]
| imp _ _ ih1 ih2 => simp [mapTermRel, Realize, ih1, ih2]
| all _ ih => simp [mapTermRel, Realize, ih, hv]
@[simp]
theorem realize_relabel {m n : ℕ} {φ : L.BoundedFormula α n} {g : α → β ⊕ (Fin m)} {v : β → M}
{xs : Fin (m + n) → M} :
(φ.relabel g).Realize v xs ↔
φ.Realize (Sum.elim v (xs ∘ Fin.castAdd n) ∘ g) (xs ∘ Fin.natAdd m) := by
apply realize_mapTermRel_add_castLe <;> simp
theorem realize_liftAt {n n' m : ℕ} {φ : L.BoundedFormula α n} {v : α → M} {xs : Fin (n + n') → M}
(hmn : m + n' ≤ n + 1) :
(φ.liftAt n' m).Realize v xs ↔
φ.Realize v (xs ∘ fun i => if ↑i < m then Fin.castAdd n' i else Fin.addNat i n') := by
rw [liftAt]
induction φ with
| falsum => simp [mapTermRel, Realize]
| equal => simp [mapTermRel, Realize, realize_rel, realize_liftAt, Sum.elim_comp_map]
| rel => simp [mapTermRel, Realize, realize_rel, realize_liftAt, Sum.elim_comp_map]
| imp _ _ ih1 ih2 => simp only [mapTermRel, Realize, ih1 hmn, ih2 hmn]
| @all k _ ih3 =>
have h : k + 1 + n' = k + n' + 1 := by rw [add_assoc, add_comm 1 n', ← add_assoc]
simp only [mapTermRel, Realize, realize_castLE_of_eq h, ih3 (hmn.trans k.succ.le_succ)]
refine forall_congr' fun x => iff_eq_eq.mpr (congr rfl (funext (Fin.lastCases ?_ fun i => ?_)))
· simp only [Function.comp_apply, val_last, snoc_last]
refine (congr rfl (Fin.ext ?_)).trans (snoc_last _ _)
split_ifs <;> dsimp; omega
· simp only [Function.comp_apply, Fin.snoc_castSucc]
refine (congr rfl (Fin.ext ?_)).trans (snoc_castSucc _ _ _)
simp only [coe_castSucc, coe_cast]
split_ifs <;> simp
theorem realize_liftAt_one {n m : ℕ} {φ : L.BoundedFormula α n} {v : α → M} {xs : Fin (n + 1) → M}
(hmn : m ≤ n) :
(φ.liftAt 1 m).Realize v xs ↔
φ.Realize v (xs ∘ fun i => if ↑i < m then castSucc i else i.succ) := by
simp [realize_liftAt (add_le_add_right hmn 1), castSucc]
@[simp]
theorem realize_liftAt_one_self {n : ℕ} {φ : L.BoundedFormula α n} {v : α → M}
{xs : Fin (n + 1) → M} : (φ.liftAt 1 n).Realize v xs ↔ φ.Realize v (xs ∘ castSucc) := by
rw [realize_liftAt_one (refl n), iff_eq_eq]
refine congr rfl (congr rfl (funext fun i => ?_))
rw [if_pos i.is_lt]
@[simp]
theorem realize_subst {φ : L.BoundedFormula α n} {tf : α → L.Term β} {v : β → M} {xs : Fin n → M} :
(φ.subst tf).Realize v xs ↔ φ.Realize (fun a => (tf a).realize v) xs :=
realize_mapTermRel_id
(fun n t x => by
rw [Term.realize_subst]
rcongr a
cases a
· simp only [Sum.elim_inl, Function.comp_apply, Term.realize_relabel, Sum.elim_comp_inl]
· rfl)
(by simp)
theorem realize_restrictFreeVar [DecidableEq α] {n : ℕ} {φ : L.BoundedFormula α n}
{f : φ.freeVarFinset → β} {v : β → M} {xs : Fin n → M}
(v' : α → M) (hv' : ∀ a, v (f a) = v' a) :
(φ.restrictFreeVar f).Realize v xs ↔ φ.Realize v' xs := by
induction φ with
| falsum => rfl
| equal =>
simp only [Realize, restrictFreeVar, freeVarFinset.eq_2]
rw [realize_restrictVarLeft v' (by simp [hv']), realize_restrictVarLeft v' (by simp [hv'])]
simp [Function.comp_apply]
| rel =>
simp only [Realize, freeVarFinset.eq_3, Finset.biUnion_val, restrictFreeVar]
congr!
rw [realize_restrictVarLeft v' (by simp [hv'])]
simp [Function.comp_apply]
| imp _ _ ih1 ih2 =>
simp only [Realize, restrictFreeVar, freeVarFinset.eq_4]
rw [ih1, ih2] <;> simp [hv']
| all _ ih3 =>
simp only [restrictFreeVar, Realize]
refine forall_congr' (fun _ => ?_)
rw [ih3]; simp [hv']
/-- A special case of `realize_restrictFreeVar`, included because we can add the `simp` attribute
to it -/
@[simp]
theorem realize_restrictFreeVar' [DecidableEq α] {n : ℕ} {φ : L.BoundedFormula α n} {s : Set α}
(h : ↑φ.freeVarFinset ⊆ s) {v : α → M} {xs : Fin n → M} :
(φ.restrictFreeVar (Set.inclusion h)).Realize (v ∘ (↑)) xs ↔ φ.Realize v xs :=
realize_restrictFreeVar _ (by simp)
theorem realize_constantsVarsEquiv [L[[α]].Structure M] [(lhomWithConstants L α).IsExpansionOn M]
{n} {φ : L[[α]].BoundedFormula β n} {v : β → M} {xs : Fin n → M} :
(constantsVarsEquiv φ).Realize (Sum.elim (fun a => ↑(L.con a)) v) xs ↔ φ.Realize v xs := by
refine realize_mapTermRel_id (fun n t xs => realize_constantsVarsEquivLeft) fun n R xs => ?_
-- This used to be `rw`, but we need `erw` after https://github.com/leanprover/lean4/pull/2644
erw [← (lhomWithConstants L α).map_onRelation
(Equiv.sumEmpty (L.Relations n) ((constantsOn α).Relations n) R) xs]
rcongr
obtain - | R := R
· simp
· exact isEmptyElim R
@[simp]
theorem realize_relabelEquiv {g : α ≃ β} {k} {φ : L.BoundedFormula α k} {v : β → M}
{xs : Fin k → M} : (relabelEquiv g φ).Realize v xs ↔ φ.Realize (v ∘ g) xs := by
simp only [relabelEquiv, mapTermRelEquiv_apply, Equiv.coe_refl]
refine realize_mapTermRel_id (fun n t xs => ?_) fun _ _ _ => rfl
simp only [relabelEquiv_apply, Term.realize_relabel]
refine congr (congr rfl ?_) rfl
ext (i | i) <;> rfl
variable [Nonempty M]
theorem realize_all_liftAt_one_self {n : ℕ} {φ : L.BoundedFormula α n} {v : α → M}
{xs : Fin n → M} : (φ.liftAt 1 n).all.Realize v xs ↔ φ.Realize v xs := by
inhabit M
simp only [realize_all, realize_liftAt_one_self]
refine ⟨fun h => ?_, fun h a => ?_⟩
· refine (congr rfl (funext fun i => ?_)).mp (h default)
simp
· refine (congr rfl (funext fun i => ?_)).mp h
simp
end BoundedFormula
namespace LHom
open BoundedFormula
@[simp]
theorem realize_onBoundedFormula [L'.Structure M] (φ : L →ᴸ L') [φ.IsExpansionOn M] {n : ℕ}
(ψ : L.BoundedFormula α n) {v : α → M} {xs : Fin n → M} :
(φ.onBoundedFormula ψ).Realize v xs ↔ ψ.Realize v xs := by
induction ψ with
| falsum => rfl
| equal => simp only [onBoundedFormula, realize_bdEqual, realize_onTerm]; rfl
| rel =>
simp only [onBoundedFormula, realize_rel, LHom.map_onRelation,
Function.comp_apply, realize_onTerm]
rfl
| imp _ _ ih1 ih2 => simp only [onBoundedFormula, ih1, ih2, realize_imp]
| all _ ih3 => simp only [onBoundedFormula, ih3, realize_all]
end LHom
namespace Formula
/-- A formula can be evaluated as true or false by giving values to each free variable. -/
nonrec def Realize (φ : L.Formula α) (v : α → M) : Prop :=
φ.Realize v default
variable {φ ψ : L.Formula α} {v : α → M}
@[simp]
theorem realize_not : φ.not.Realize v ↔ ¬φ.Realize v :=
Iff.rfl
@[simp]
theorem realize_bot : (⊥ : L.Formula α).Realize v ↔ False :=
Iff.rfl
@[simp]
theorem realize_top : (⊤ : L.Formula α).Realize v ↔ True :=
BoundedFormula.realize_top
@[simp]
theorem realize_inf : (φ ⊓ ψ).Realize v ↔ φ.Realize v ∧ ψ.Realize v :=
BoundedFormula.realize_inf
@[simp]
theorem realize_imp : (φ.imp ψ).Realize v ↔ φ.Realize v → ψ.Realize v :=
BoundedFormula.realize_imp
@[simp]
theorem realize_rel {k : ℕ} {R : L.Relations k} {ts : Fin k → L.Term α} :
(R.formula ts).Realize v ↔ RelMap R fun i => (ts i).realize v :=
BoundedFormula.realize_rel.trans (by simp)
@[simp]
theorem realize_rel₁ {R : L.Relations 1} {t : L.Term _} :
(R.formula₁ t).Realize v ↔ RelMap R ![t.realize v] := by
rw [Relations.formula₁, realize_rel, iff_eq_eq]
refine congr rfl (funext fun _ => ?_)
simp only [Matrix.cons_val_fin_one]
@[simp]
theorem realize_rel₂ {R : L.Relations 2} {t₁ t₂ : L.Term _} :
(R.formula₂ t₁ t₂).Realize v ↔ RelMap R ![t₁.realize v, t₂.realize v] := by
rw [Relations.formula₂, realize_rel, iff_eq_eq]
refine congr rfl (funext (Fin.cases ?_ ?_))
· simp only [Matrix.cons_val_zero]
· simp only [Matrix.cons_val_succ, Matrix.cons_val_fin_one, forall_const]
@[simp]
theorem realize_sup : (φ ⊔ ψ).Realize v ↔ φ.Realize v ∨ ψ.Realize v :=
BoundedFormula.realize_sup
@[simp]
theorem realize_iff : (φ.iff ψ).Realize v ↔ (φ.Realize v ↔ ψ.Realize v) :=
BoundedFormula.realize_iff
@[simp]
theorem realize_relabel {φ : L.Formula α} {g : α → β} {v : β → M} :
(φ.relabel g).Realize v ↔ φ.Realize (v ∘ g) := by
rw [Realize, Realize, relabel, BoundedFormula.realize_relabel, iff_eq_eq, Fin.castAdd_zero]
exact congr rfl (funext finZeroElim)
theorem realize_relabel_sumInr (φ : L.Formula (Fin n)) {v : Empty → M} {x : Fin n → M} :
(BoundedFormula.relabel Sum.inr φ).Realize v x ↔ φ.Realize x := by
rw [BoundedFormula.realize_relabel, Formula.Realize, Sum.elim_comp_inr, Fin.castAdd_zero,
cast_refl, Function.comp_id,
Subsingleton.elim (x ∘ (natAdd n : Fin 0 → Fin n)) default]
@[deprecated (since := "2025-02-21")] alias realize_relabel_sum_inr := realize_relabel_sumInr
@[simp]
theorem realize_equal {t₁ t₂ : L.Term α} {x : α → M} :
(t₁.equal t₂).Realize x ↔ t₁.realize x = t₂.realize x := by simp [Term.equal, Realize]
@[simp]
theorem realize_graph {f : L.Functions n} {x : Fin n → M} {y : M} :
(Formula.graph f).Realize (Fin.cons y x : _ → M) ↔ funMap f x = y := by
simp only [Formula.graph, Term.realize, realize_equal, Fin.cons_zero, Fin.cons_succ]
rw [eq_comm]
theorem boundedFormula_realize_eq_realize (φ : L.Formula α) (x : α → M) (y : Fin 0 → M) :
BoundedFormula.Realize φ x y ↔ φ.Realize x := by
rw [Formula.Realize, iff_iff_eq]
congr
ext i; exact Fin.elim0 i
end Formula
@[simp]
theorem LHom.realize_onFormula [L'.Structure M] (φ : L →ᴸ L') [φ.IsExpansionOn M] (ψ : L.Formula α)
{v : α → M} : (φ.onFormula ψ).Realize v ↔ ψ.Realize v :=
φ.realize_onBoundedFormula ψ
@[simp]
theorem LHom.setOf_realize_onFormula [L'.Structure M] (φ : L →ᴸ L') [φ.IsExpansionOn M]
(ψ : L.Formula α) : (setOf (φ.onFormula ψ).Realize : Set (α → M)) = setOf ψ.Realize := by
ext
simp
variable (M)
/-- A sentence can be evaluated as true or false in a structure. -/
nonrec def Sentence.Realize (φ : L.Sentence) : Prop :=
φ.Realize (default : _ → M)
-- input using \|= or \vDash, but not using \models
@[inherit_doc Sentence.Realize]
infixl:51 " ⊨ " => Sentence.Realize
@[simp]
theorem Sentence.realize_not {φ : L.Sentence} : M ⊨ φ.not ↔ ¬M ⊨ φ :=
Iff.rfl
namespace Formula
@[simp]
theorem realize_equivSentence_symm_con [L[[α]].Structure M]
[(L.lhomWithConstants α).IsExpansionOn M] (φ : L[[α]].Sentence) :
((equivSentence.symm φ).Realize fun a => (L.con a : M)) ↔ φ.Realize M := by
simp only [equivSentence, _root_.Equiv.symm_symm, Equiv.coe_trans, Realize,
BoundedFormula.realize_relabelEquiv, Function.comp]
refine _root_.trans ?_ BoundedFormula.realize_constantsVarsEquiv
rw [iff_iff_eq]
congr with (_ | a)
· simp
· cases a
@[simp]
theorem realize_equivSentence [L[[α]].Structure M] [(L.lhomWithConstants α).IsExpansionOn M]
(φ : L.Formula α) : (equivSentence φ).Realize M ↔ φ.Realize fun a => (L.con a : M) := by
rw [← realize_equivSentence_symm_con M (equivSentence φ), _root_.Equiv.symm_apply_apply]
theorem realize_equivSentence_symm (φ : L[[α]].Sentence) (v : α → M) :
(equivSentence.symm φ).Realize v ↔
@Sentence.Realize _ M (@Language.withConstantsStructure L M _ α (constantsOn.structure v))
φ :=
letI := constantsOn.structure v
realize_equivSentence_symm_con M φ
end Formula
@[simp]
theorem LHom.realize_onSentence [L'.Structure M] (φ : L →ᴸ L') [φ.IsExpansionOn M]
(ψ : L.Sentence) : M ⊨ φ.onSentence ψ ↔ M ⊨ ψ :=
φ.realize_onFormula ψ
variable (L)
/-- The complete theory of a structure `M` is the set of all sentences `M` satisfies. -/
def completeTheory : L.Theory :=
{ φ | M ⊨ φ }
variable (N)
/-- Two structures are elementarily equivalent when they satisfy the same sentences. -/
def ElementarilyEquivalent : Prop :=
L.completeTheory M = L.completeTheory N
@[inherit_doc FirstOrder.Language.ElementarilyEquivalent]
scoped[FirstOrder]
notation:25 A " ≅[" L "] " B:50 => FirstOrder.Language.ElementarilyEquivalent L A B
variable {L} {M} {N}
@[simp]
theorem mem_completeTheory {φ : Sentence L} : φ ∈ L.completeTheory M ↔ M ⊨ φ :=
Iff.rfl
theorem elementarilyEquivalent_iff : M ≅[L] N ↔ ∀ φ : L.Sentence, M ⊨ φ ↔ N ⊨ φ := by
simp only [ElementarilyEquivalent, Set.ext_iff, completeTheory, Set.mem_setOf_eq]
variable (M)
/-- A model of a theory is a structure in which every sentence is realized as true. -/
class Theory.Model (T : L.Theory) : Prop where
realize_of_mem : ∀ φ ∈ T, M ⊨ φ
-- input using \|= or \vDash, but not using \models
@[inherit_doc Theory.Model]
infixl:51 " ⊨ " => Theory.Model
variable {M} (T : L.Theory)
@[simp default - 10]
theorem Theory.model_iff : M ⊨ T ↔ ∀ φ ∈ T, M ⊨ φ :=
⟨fun h => h.realize_of_mem, fun h => ⟨h⟩⟩
theorem Theory.realize_sentence_of_mem [M ⊨ T] {φ : L.Sentence} (h : φ ∈ T) : M ⊨ φ :=
Theory.Model.realize_of_mem φ h
@[simp]
theorem LHom.onTheory_model [L'.Structure M] (φ : L →ᴸ L') [φ.IsExpansionOn M] (T : L.Theory) :
M ⊨ φ.onTheory T ↔ M ⊨ T := by simp [Theory.model_iff, LHom.onTheory]
variable {T}
instance model_empty : M ⊨ (∅ : L.Theory) :=
⟨fun φ hφ => (Set.not_mem_empty φ hφ).elim⟩
namespace Theory
theorem Model.mono {T' : L.Theory} (_h : M ⊨ T') (hs : T ⊆ T') : M ⊨ T :=
⟨fun _φ hφ => T'.realize_sentence_of_mem (hs hφ)⟩
theorem Model.union {T' : L.Theory} (h : M ⊨ T) (h' : M ⊨ T') : M ⊨ T ∪ T' := by
simp only [model_iff, Set.mem_union] at *
exact fun φ hφ => hφ.elim (h _) (h' _)
@[simp]
theorem model_union_iff {T' : L.Theory} : M ⊨ T ∪ T' ↔ M ⊨ T ∧ M ⊨ T' :=
⟨fun h => ⟨h.mono Set.subset_union_left, h.mono Set.subset_union_right⟩, fun h =>
h.1.union h.2⟩
@[simp]
theorem model_singleton_iff {φ : L.Sentence} : M ⊨ ({φ} : L.Theory) ↔ M ⊨ φ := by simp
theorem model_insert_iff {φ : L.Sentence} : M ⊨ insert φ T ↔ M ⊨ φ ∧ M ⊨ T := by
rw [Set.insert_eq, model_union_iff, model_singleton_iff]
theorem model_iff_subset_completeTheory : M ⊨ T ↔ T ⊆ L.completeTheory M :=
T.model_iff
theorem completeTheory.subset [MT : M ⊨ T] : T ⊆ L.completeTheory M :=
model_iff_subset_completeTheory.1 MT
end Theory
instance model_completeTheory : M ⊨ L.completeTheory M :=
Theory.model_iff_subset_completeTheory.2 (subset_refl _)
variable (M N)
theorem realize_iff_of_model_completeTheory [N ⊨ L.completeTheory M] (φ : L.Sentence) :
N ⊨ φ ↔ M ⊨ φ := by
refine ⟨fun h => ?_, (L.completeTheory M).realize_sentence_of_mem⟩
contrapose! h
rw [← Sentence.realize_not] at *
exact (L.completeTheory M).realize_sentence_of_mem (mem_completeTheory.2 h)
variable {M N}
namespace BoundedFormula
@[simp]
theorem realize_alls {φ : L.BoundedFormula α n} {v : α → M} :
φ.alls.Realize v ↔ ∀ xs : Fin n → M, φ.Realize v xs := by
induction' n with n ih
· exact Unique.forall_iff.symm
· simp only [alls, ih, Realize]
exact ⟨fun h xs => Fin.snoc_init_self xs ▸ h _ _, fun h xs x => h (Fin.snoc xs x)⟩
@[simp]
theorem realize_exs {φ : L.BoundedFormula α n} {v : α → M} :
φ.exs.Realize v ↔ ∃ xs : Fin n → M, φ.Realize v xs := by
induction' n with n ih
· exact Unique.exists_iff.symm
· simp only [BoundedFormula.exs, ih, realize_ex]
constructor
· rintro ⟨xs, x, h⟩
exact ⟨_, h⟩
· rintro ⟨xs, h⟩
rw [← Fin.snoc_init_self xs] at h
exact ⟨_, _, h⟩
@[simp]
theorem _root_.FirstOrder.Language.Formula.realize_iAlls
[Finite β] {φ : L.Formula (α ⊕ β)} {v : α → M} : (φ.iAlls β).Realize v ↔
∀ (i : β → M), φ.Realize (fun a => Sum.elim v i a) := by
let e := Classical.choice (Classical.choose_spec (Finite.exists_equiv_fin β))
rw [Formula.iAlls]
simp only [Nat.add_zero, realize_alls, realize_relabel, Function.comp_def,
castAdd_zero, finCongr_refl, OrderIso.refl_apply, Sum.elim_map, id_eq]
refine Equiv.forall_congr ?_ ?_
· exact ⟨fun v => v ∘ e, fun v => v ∘ e.symm,
fun _ => by simp [Function.comp_def],
fun _ => by simp [Function.comp_def]⟩
· intro x
rw [Formula.Realize, iff_iff_eq]
congr
funext i
exact i.elim0
@[simp]
theorem realize_iAlls [Finite β] {φ : L.Formula (α ⊕ β)} {v : α → M} {v' : Fin 0 → M} :
BoundedFormula.Realize (φ.iAlls β) v v' ↔
∀ (i : β → M), φ.Realize (fun a => Sum.elim v i a) := by
rw [← Formula.realize_iAlls, iff_iff_eq]; congr; simp [eq_iff_true_of_subsingleton]
@[simp]
theorem _root_.FirstOrder.Language.Formula.realize_iExs
[Finite γ] {φ : L.Formula (α ⊕ γ)} {v : α → M} : (φ.iExs γ).Realize v ↔
∃ (i : γ → M), φ.Realize (Sum.elim v i) := by
let e := Classical.choice (Classical.choose_spec (Finite.exists_equiv_fin γ))
rw [Formula.iExs]
simp only [Nat.add_zero, realize_exs, realize_relabel, Function.comp_def,
castAdd_zero, finCongr_refl, OrderIso.refl_apply, Sum.elim_map, id_eq]
refine Equiv.exists_congr ?_ ?_
· exact ⟨fun v => v ∘ e, fun v => v ∘ e.symm,
fun _ => by simp [Function.comp_def],
fun _ => by simp [Function.comp_def]⟩
· intro x
rw [Formula.Realize, iff_iff_eq]
congr
funext i
exact i.elim0
@[simp]
theorem realize_iExs [Finite γ] {φ : L.Formula (α ⊕ γ)} {v : α → M} {v' : Fin 0 → M} :
BoundedFormula.Realize (φ.iExs γ) v v' ↔
∃ (i : γ → M), φ.Realize (Sum.elim v i) := by
rw [← Formula.realize_iExs, iff_iff_eq]; congr; simp [eq_iff_true_of_subsingleton]
@[simp]
theorem realize_toFormula (φ : L.BoundedFormula α n) (v : α ⊕ (Fin n) → M) :
φ.toFormula.Realize v ↔ φ.Realize (v ∘ Sum.inl) (v ∘ Sum.inr) := by
induction φ with
| falsum => rfl
| equal => simp [BoundedFormula.Realize]
| rel => simp [BoundedFormula.Realize]
| imp _ _ ih1 ih2 =>
rw [toFormula, Formula.Realize, realize_imp, ← Formula.Realize, ih1, ← Formula.Realize, ih2,
realize_imp]
| all _ ih3 =>
rw [toFormula, Formula.Realize, realize_all, realize_all]
refine forall_congr' fun a => ?_
have h := ih3 (Sum.elim (v ∘ Sum.inl) (snoc (v ∘ Sum.inr) a))
simp only [Sum.elim_comp_inl, Sum.elim_comp_inr] at h
rw [← h, realize_relabel, Formula.Realize, iff_iff_eq]
simp only [Function.comp_def]
congr with x
· rcases x with _ | x
· simp
· refine Fin.lastCases ?_ ?_ x
· rw [Sum.elim_inr, Sum.elim_inr,
finSumFinEquiv_symm_last, Sum.map_inr, Sum.elim_inr]
simp [Fin.snoc]
· simp only [castSucc, Function.comp_apply, Sum.elim_inr,
finSumFinEquiv_symm_apply_castAdd, Sum.map_inl, Sum.elim_inl]
rw [← castSucc]
simp
· exact Fin.elim0 x
@[simp]
| theorem realize_iSup [Finite β] {f : β → L.BoundedFormula α n}
{v : α → M} {v' : Fin n → M} :
(iSup f).Realize v v' ↔ ∃ b, (f b).Realize v v' := by
| Mathlib/ModelTheory/Semantics.lean | 840 | 842 |
/-
Copyright (c) 2023 Michael Stoll. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Michael Stoll, Ralf Stephan
-/
import Mathlib.Data.Nat.Factorization.Defs
import Mathlib.Data.Nat.Squarefree
/-!
# Smooth numbers
For `s : Finset ℕ` we define the set `Nat.factoredNumbers s` of "`s`-factored numbers"
consisting of the positive natural numbers all of whose prime factors are in `s`, and
we provide some API for this.
We then define the set `Nat.smoothNumbers n` consisting of the positive natural numbers all of
whose prime factors are strictly less than `n`. This is the special case `s = Finset.range n`
of the set of `s`-factored numbers.
We also define the finite set `Nat.primesBelow n` to be the set of prime numbers less than `n`.
The main definition `Nat.equivProdNatSmoothNumbers` establishes the bijection between
`ℕ × (smoothNumbers p)` and `smoothNumbers (p+1)` given by sending `(e, n)` to `p^e * n`.
Here `p` is a prime number. It is obtained from the more general bijection between
`ℕ × (factoredNumbers s)` and `factoredNumbers (s ∪ {p})`; see `Nat.equivProdNatFactoredNumbers`.
Additionally, we define `Nat.smoothNumbersUpTo N n` as the `Finset` of `n`-smooth numbers
up to and including `N`, and similarly `Nat.roughNumbersUpTo` for its complement in `{1, ..., N}`,
and we provide some API, in particular bounds for their cardinalities; see
`Nat.smoothNumbersUpTo_card_le` and `Nat.roughNumbersUpTo_card_le`.
-/
open scoped Finset
namespace Nat
/-- `primesBelow n` is the set of primes less than `n` as a `Finset`. -/
def primesBelow (n : ℕ) : Finset ℕ := {p ∈ Finset.range n | p.Prime}
@[simp]
lemma primesBelow_zero : primesBelow 0 = ∅ := by
rw [primesBelow, Finset.range_zero, Finset.filter_empty]
lemma mem_primesBelow {k n : ℕ} :
n ∈ primesBelow k ↔ n < k ∧ n.Prime := by simp [primesBelow]
lemma prime_of_mem_primesBelow {p n : ℕ} (h : p ∈ n.primesBelow) : p.Prime :=
(Finset.mem_filter.mp h).2
lemma lt_of_mem_primesBelow {p n : ℕ} (h : p ∈ n.primesBelow) : p < n :=
Finset.mem_range.mp <| Finset.mem_of_mem_filter p h
lemma primesBelow_succ (n : ℕ) :
primesBelow (n + 1) = if n.Prime then insert n (primesBelow n) else primesBelow n := by
rw [primesBelow, primesBelow, Finset.range_succ, Finset.filter_insert]
lemma not_mem_primesBelow (n : ℕ) : n ∉ primesBelow n :=
fun hn ↦ (lt_of_mem_primesBelow hn).false
/-!
### `s`-factored numbers
-/
/-- `factoredNumbers s`, for a finite set `s` of natural numbers, is the set of positive natural
numbers all of whose prime factors are in `s`. -/
def factoredNumbers (s : Finset ℕ) : Set ℕ := {m | m ≠ 0 ∧ ∀ p ∈ primeFactorsList m, p ∈ s}
lemma mem_factoredNumbers {s : Finset ℕ} {m : ℕ} :
m ∈ factoredNumbers s ↔ m ≠ 0 ∧ ∀ p ∈ primeFactorsList m, p ∈ s :=
Iff.rfl
/-- Membership in `Nat.factoredNumbers n` is decidable. -/
instance (s : Finset ℕ) : DecidablePred (· ∈ factoredNumbers s) :=
inferInstanceAs <| DecidablePred fun x ↦ x ∈ {m | m ≠ 0 ∧ ∀ p ∈ primeFactorsList m, p ∈ s}
/-- A number that divides an `s`-factored number is itself `s`-factored. -/
lemma mem_factoredNumbers_of_dvd {s : Finset ℕ} {m k : ℕ} (h : m ∈ factoredNumbers s)
(h' : k ∣ m) :
k ∈ factoredNumbers s := by
obtain ⟨h₁, h₂⟩ := h
have hk := ne_zero_of_dvd_ne_zero h₁ h'
refine ⟨hk, fun p hp ↦ h₂ p ?_⟩
rw [mem_primeFactorsList <| by assumption] at hp ⊢
exact ⟨hp.1, hp.2.trans h'⟩
/-- `m` is `s`-factored if and only if `m` is nonzero and all prime divisors `≤ m` of `m`
are in `s`. -/
lemma mem_factoredNumbers_iff_forall_le {s : Finset ℕ} {m : ℕ} :
m ∈ factoredNumbers s ↔ m ≠ 0 ∧ ∀ p ≤ m, p.Prime → p ∣ m → p ∈ s := by
simp_rw [mem_factoredNumbers, mem_primeFactorsList']
exact ⟨fun ⟨H₀, H₁⟩ ↦ ⟨H₀, fun p _ hp₂ hp₃ ↦ H₁ p ⟨hp₂, hp₃, H₀⟩⟩,
fun ⟨H₀, H₁⟩ ↦
⟨H₀, fun p ⟨hp₁, hp₂, hp₃⟩ ↦ H₁ p (le_of_dvd (Nat.pos_of_ne_zero hp₃) hp₂) hp₁ hp₂⟩⟩
/-- `m` is `s`-factored if and only if all prime divisors of `m` are in `s`. -/
lemma mem_factoredNumbers' {s : Finset ℕ} {m : ℕ} :
m ∈ factoredNumbers s ↔ ∀ p, p.Prime → p ∣ m → p ∈ s := by
obtain ⟨p, hp₁, hp₂⟩ := exists_infinite_primes (1 + Finset.sup s id)
rw [mem_factoredNumbers_iff_forall_le]
refine ⟨fun ⟨H₀, H₁⟩ ↦ fun p hp₁ hp₂ ↦ H₁ p (le_of_dvd (Nat.pos_of_ne_zero H₀) hp₂) hp₁ hp₂,
fun H ↦ ⟨fun h ↦ lt_irrefl p ?_, fun p _ ↦ H p⟩⟩
calc
p ≤ s.sup id := Finset.le_sup (f := @id ℕ) <| H p hp₂ <| h.symm ▸ dvd_zero p
_ < 1 + s.sup id := lt_one_add _
_ ≤ p := hp₁
lemma ne_zero_of_mem_factoredNumbers {s : Finset ℕ} {m : ℕ} (h : m ∈ factoredNumbers s) : m ≠ 0 :=
h.1
/-- The `Finset` of prime factors of an `s`-factored number is contained in `s`. -/
lemma primeFactors_subset_of_mem_factoredNumbers {s : Finset ℕ} {m : ℕ}
(hm : m ∈ factoredNumbers s) :
m.primeFactors ⊆ s := by
rw [mem_factoredNumbers] at hm
exact fun n hn ↦ hm.2 n (mem_primeFactors_iff_mem_primeFactorsList.mp hn)
/-- If `m ≠ 0` and the `Finset` of prime factors of `m` is contained in `s`, then `m`
is `s`-factored. -/
lemma mem_factoredNumbers_of_primeFactors_subset {s : Finset ℕ} {m : ℕ} (hm : m ≠ 0)
(hp : m.primeFactors ⊆ s) :
m ∈ factoredNumbers s := by
rw [mem_factoredNumbers]
exact ⟨hm, fun p hp' ↦ hp <| mem_primeFactors_iff_mem_primeFactorsList.mpr hp'⟩
/-- `m` is `s`-factored if and only if `m ≠ 0` and its `Finset` of prime factors
is contained in `s`. -/
lemma mem_factoredNumbers_iff_primeFactors_subset {s : Finset ℕ} {m : ℕ} :
m ∈ factoredNumbers s ↔ m ≠ 0 ∧ m.primeFactors ⊆ s :=
⟨fun h ↦ ⟨ne_zero_of_mem_factoredNumbers h, primeFactors_subset_of_mem_factoredNumbers h⟩,
fun ⟨h₁, h₂⟩ ↦ mem_factoredNumbers_of_primeFactors_subset h₁ h₂⟩
@[simp]
lemma factoredNumbers_empty : factoredNumbers ∅ = {1} := by
ext m
simp only [mem_factoredNumbers, Finset.not_mem_empty, ← List.eq_nil_iff_forall_not_mem,
primeFactorsList_eq_nil, and_or_left, not_and_self_iff, ne_and_eq_iff_right zero_ne_one,
false_or, Set.mem_singleton_iff]
/-- The product of two `s`-factored numbers is again `s`-factored. -/
lemma mul_mem_factoredNumbers {s : Finset ℕ} {m n : ℕ} (hm : m ∈ factoredNumbers s)
(hn : n ∈ factoredNumbers s) :
m * n ∈ factoredNumbers s := by
have hm' := primeFactors_subset_of_mem_factoredNumbers hm
have hn' := primeFactors_subset_of_mem_factoredNumbers hn
exact mem_factoredNumbers_of_primeFactors_subset (mul_ne_zero hm.1 hn.1)
<| primeFactors_mul hm.1 hn.1 ▸ Finset.union_subset hm' hn'
/-- The product of the prime factors of `n` that are in `s` is an `s`-factored number. -/
lemma prod_mem_factoredNumbers (s : Finset ℕ) (n : ℕ) :
(n.primeFactorsList.filter (· ∈ s)).prod ∈ factoredNumbers s := by
have h₀ : (n.primeFactorsList.filter (· ∈ s)).prod ≠ 0 :=
List.prod_ne_zero fun h ↦ (pos_of_mem_primeFactorsList (List.mem_of_mem_filter h)).false
refine ⟨h₀, fun p hp ↦ ?_⟩
obtain ⟨H₁, H₂⟩ := (mem_primeFactorsList h₀).mp hp
simpa only [decide_eq_true_eq] using List.of_mem_filter <| mem_list_primes_of_dvd_prod H₁.prime
(fun _ hq ↦ (prime_of_mem_primeFactorsList (List.mem_of_mem_filter hq)).prime) H₂
/-- The sets of `s`-factored and of `s ∪ {N}`-factored numbers are the same when `N` is not prime.
See `Nat.equivProdNatFactoredNumbers` for when `N` is prime. -/
lemma factoredNumbers_insert (s : Finset ℕ) {N : ℕ} (hN : ¬ N.Prime) :
factoredNumbers (insert N s) = factoredNumbers s := by
ext m
refine ⟨fun hm ↦ ⟨hm.1, fun p hp ↦ ?_⟩,
fun hm ↦ ⟨hm.1, fun p hp ↦ Finset.mem_insert_of_mem <| hm.2 p hp⟩⟩
exact Finset.mem_of_mem_insert_of_ne (hm.2 p hp)
fun h ↦ hN <| h ▸ prime_of_mem_primeFactorsList hp
@[gcongr] lemma factoredNumbers_mono {s t : Finset ℕ} (hst : s ≤ t) :
factoredNumbers s ⊆ factoredNumbers t :=
fun _ hx ↦ ⟨hx.1, fun p hp ↦ hst <| hx.2 p hp⟩
/-- The non-zero non-`s`-factored numbers are `≥ N` when `s` contains all primes less than `N`. -/
lemma factoredNumbers_compl {N : ℕ} {s : Finset ℕ} (h : primesBelow N ≤ s) :
(factoredNumbers s)ᶜ \ {0} ⊆ {n | N ≤ n} := by
intro n hn
simp only [Set.mem_compl_iff, mem_factoredNumbers, Set.mem_diff, ne_eq, not_and, not_forall,
not_lt, exists_prop, Set.mem_singleton_iff] at hn
simp only [Set.mem_setOf_eq]
obtain ⟨p, hp₁, hp₂⟩ := hn.1 hn.2
have : N ≤ p := by
contrapose! hp₂
exact h <| mem_primesBelow.mpr ⟨hp₂, prime_of_mem_primeFactorsList hp₁⟩
exact this.trans <| le_of_mem_primeFactorsList hp₁
/-- If `p` is a prime and `n` is `s`-factored, then every product `p^e * n`
is `s ∪ {p}`-factored. -/
lemma pow_mul_mem_factoredNumbers {s : Finset ℕ} {p n : ℕ} (hp : p.Prime) (e : ℕ)
(hn : n ∈ factoredNumbers s) :
p ^ e * n ∈ factoredNumbers (insert p s) := by
have hp' := pow_ne_zero e hp.ne_zero
refine ⟨mul_ne_zero hp' hn.1, fun q hq ↦ ?_⟩
rcases (mem_primeFactorsList_mul hp' hn.1).mp hq with H | H
· rw [mem_primeFactorsList hp'] at H
rw [(prime_dvd_prime_iff_eq H.1 hp).mp <| H.1.dvd_of_dvd_pow H.2]
exact Finset.mem_insert_self p s
· exact Finset.mem_insert_of_mem <| hn.2 _ H
/-- If `p ∉ s` is a prime and `n` is `s`-factored, then `p` and `n` are coprime. -/
lemma Prime.factoredNumbers_coprime {s : Finset ℕ} {p n : ℕ} (hp : p.Prime) (hs : p ∉ s)
(hn : n ∈ factoredNumbers s) :
Nat.Coprime p n := by
rw [hp.coprime_iff_not_dvd, ← mem_primeFactorsList_iff_dvd hn.1 hp]
exact fun H ↦ hs <| hn.2 p H
/-- If `f : ℕ → F` is multiplicative on coprime arguments, `p ∉ s` is a prime and `m`
is `s`-factored, then `f (p^e * m) = f (p^e) * f m`. -/
lemma factoredNumbers.map_prime_pow_mul {F : Type*} [Mul F] {f : ℕ → F}
(hmul : ∀ {m n}, Coprime m n → f (m * n) = f m * f n) {s : Finset ℕ} {p : ℕ}
(hp : p.Prime) (hs : p ∉ s) (e : ℕ) {m : factoredNumbers s} :
f (p ^ e * m) = f (p ^ e) * f m :=
hmul <| Coprime.pow_left _ <| hp.factoredNumbers_coprime hs <| Subtype.mem m
open List Perm in
/-- We establish the bijection from `ℕ × factoredNumbers s` to `factoredNumbers (s ∪ {p})`
given by `(e, n) ↦ p^e * n` when `p ∉ s` is a prime. See `Nat.factoredNumbers_insert` for
when `p` is not prime. -/
def equivProdNatFactoredNumbers {s : Finset ℕ} {p : ℕ} (hp : p.Prime) (hs : p ∉ s) :
ℕ × factoredNumbers s ≃ factoredNumbers (insert p s) where
toFun := fun ⟨e, n⟩ ↦ ⟨p ^ e * n, pow_mul_mem_factoredNumbers hp e n.2⟩
invFun := fun ⟨m, _⟩ ↦ (m.factorization p,
⟨(m.primeFactorsList.filter (· ∈ s)).prod, prod_mem_factoredNumbers ..⟩)
left_inv := by
rintro ⟨e, m, hm₀, hm⟩
simp (config := { etaStruct := .all }) only
[Set.coe_setOf, Set.mem_setOf_eq, Prod.mk.injEq, Subtype.mk.injEq]
constructor
· rw [factorization_mul (pos_iff_ne_zero.mp <| Nat.pow_pos hp.pos) hm₀]
simp only [factorization_pow, Finsupp.coe_add, Finsupp.coe_smul, nsmul_eq_mul,
Pi.natCast_def, cast_id, Pi.add_apply, Pi.mul_apply, hp.factorization_self,
mul_one, add_eq_left]
rw [← primeFactorsList_count_eq, count_eq_zero]
exact fun H ↦ hs (hm p H)
· nth_rewrite 2 [← prod_primeFactorsList hm₀]
refine prod_eq <|
(filter _ <| perm_primeFactorsList_mul (pow_ne_zero e hp.ne_zero) hm₀).trans ?_
rw [filter_append, hp.primeFactorsList_pow,
filter_eq_nil_iff.mpr fun q hq ↦ by rw [mem_replicate] at hq; simp [hq.2, hs],
nil_append, filter_eq_self.mpr fun q hq ↦ by simp only [hm q hq, decide_true]]
right_inv := by
rintro ⟨m, hm₀, hm⟩
simp only [Set.coe_setOf, Set.mem_setOf_eq, Subtype.mk.injEq]
rw [← primeFactorsList_count_eq, ← prod_replicate, ← prod_append]
nth_rewrite 3 [← prod_primeFactorsList hm₀]
have : m.primeFactorsList.filter (· = p) = m.primeFactorsList.filter (¬ · ∈ s) := by
refine (filter_congr fun q hq ↦ ?_).symm
simp only [decide_not, Bool.not_eq_true', decide_eq_false_iff_not, decide_eq_true_eq]
rcases Finset.mem_insert.mp <| hm _ hq with h | h
· simp only [h, hs, decide_false, Bool.not_false, decide_true]
· simp only [h, decide_true, Bool.not_true, false_eq_decide_iff]
exact fun H ↦ hs <| H ▸ h
refine prod_eq <| (filter_eq p).symm ▸ this ▸ perm_append_comm.trans ?_
simp only [decide_not]
exact filter_append_perm (· ∈ s) (primeFactorsList m)
@[simp]
lemma equivProdNatFactoredNumbers_apply {s : Finset ℕ} {p e m : ℕ} (hp : p.Prime) (hs : p ∉ s)
(hm : m ∈ factoredNumbers s) :
equivProdNatFactoredNumbers hp hs (e, ⟨m, hm⟩) = p ^ e * m := rfl
@[simp]
lemma equivProdNatFactoredNumbers_apply' {s : Finset ℕ} {p : ℕ} (hp : p.Prime) (hs : p ∉ s)
(x : ℕ × factoredNumbers s) :
equivProdNatFactoredNumbers hp hs x = p ^ x.1 * x.2 := rfl
/-!
### `n`-smooth numbers
-/
/-- `smoothNumbers n` is the set of *`n`-smooth positive natural numbers*, i.e., the
positive natural numbers all of whose prime factors are less than `n`. -/
def smoothNumbers (n : ℕ) : Set ℕ := {m | m ≠ 0 ∧ ∀ p ∈ primeFactorsList m, p < n}
lemma mem_smoothNumbers {n m : ℕ} : m ∈ smoothNumbers n ↔ m ≠ 0 ∧ ∀ p ∈ primeFactorsList m, p < n :=
Iff.rfl
/-- The `n`-smooth numbers agree with the `Finset.range n`-factored numbers. -/
lemma smoothNumbers_eq_factoredNumbers (n : ℕ) :
smoothNumbers n = factoredNumbers (Finset.range n) := by
simp only [smoothNumbers, ne_eq, mem_primeFactorsList', and_imp, factoredNumbers,
Finset.mem_range]
/-- The `n`-smooth numbers agree with the `primesBelow n`-factored numbers. -/
lemma smmoothNumbers_eq_factoredNumbers_primesBelow (n : ℕ) :
smoothNumbers n = factoredNumbers n.primesBelow := by
rw [smoothNumbers_eq_factoredNumbers]
refine Set.Subset.antisymm (fun m hm ↦ ?_) <| factoredNumbers_mono Finset.mem_of_mem_filter
simp_rw [mem_factoredNumbers'] at hm ⊢
exact fun p hp hp' ↦ mem_primesBelow.mpr ⟨Finset.mem_range.mp <| hm p hp hp', hp⟩
/-- Membership in `Nat.smoothNumbers n` is decidable. -/
instance (n : ℕ) : DecidablePred (· ∈ smoothNumbers n) :=
inferInstanceAs <| DecidablePred fun x ↦ x ∈ {m | m ≠ 0 ∧ ∀ p ∈ primeFactorsList m, p < n}
/-- A number that divides an `n`-smooth number is itself `n`-smooth. -/
lemma mem_smoothNumbers_of_dvd {n m k : ℕ} (h : m ∈ smoothNumbers n) (h' : k ∣ m) :
k ∈ smoothNumbers n := by
simp only [smoothNumbers_eq_factoredNumbers] at h ⊢
exact mem_factoredNumbers_of_dvd h h'
/-- `m` is `n`-smooth if and only if `m` is nonzero and all prime divisors `≤ m` of `m`
are less than `n`. -/
lemma mem_smoothNumbers_iff_forall_le {n m : ℕ} :
m ∈ smoothNumbers n ↔ m ≠ 0 ∧ ∀ p ≤ m, p.Prime → p ∣ m → p < n := by
simp only [smoothNumbers_eq_factoredNumbers, mem_factoredNumbers_iff_forall_le, Finset.mem_range]
/-- `m` is `n`-smooth if and only if all prime divisors of `m` are less than `n`. -/
lemma mem_smoothNumbers' {n m : ℕ} : m ∈ smoothNumbers n ↔ ∀ p, p.Prime → p ∣ m → p < n := by
simp only [smoothNumbers_eq_factoredNumbers, mem_factoredNumbers', Finset.mem_range]
/-- The `Finset` of prime factors of an `n`-smooth number is contained in the `Finset`
of primes below `n`. -/
lemma primeFactors_subset_of_mem_smoothNumbers {m n : ℕ} (hms : m ∈ n.smoothNumbers) :
m.primeFactors ⊆ n.primesBelow :=
primeFactors_subset_of_mem_factoredNumbers <|
smmoothNumbers_eq_factoredNumbers_primesBelow n ▸ hms
/-- `m` is an `n`-smooth number if the `Finset` of its prime factors consists of numbers `< n`. -/
lemma mem_smoothNumbers_of_primeFactors_subset {m n : ℕ} (hm : m ≠ 0)
(hp : m.primeFactors ⊆ Finset.range n) : m ∈ n.smoothNumbers :=
smoothNumbers_eq_factoredNumbers n ▸ mem_factoredNumbers_of_primeFactors_subset hm hp
/-- `m` is an `n`-smooth number if and only if `m ≠ 0` and the `Finset` of its prime factors
is contained in the `Finset` of primes below `n` -/
lemma mem_smoothNumbers_iff_primeFactors_subset {m n : ℕ} :
m ∈ n.smoothNumbers ↔ m ≠ 0 ∧ m.primeFactors ⊆ n.primesBelow :=
⟨fun h ↦ ⟨h.1, primeFactors_subset_of_mem_smoothNumbers h⟩,
fun h ↦ mem_smoothNumbers_of_primeFactors_subset h.1 <| h.2.trans <| Finset.filter_subset ..⟩
/-- Zero is never a smooth number -/
lemma ne_zero_of_mem_smoothNumbers {n m : ℕ} (h : m ∈ smoothNumbers n) : m ≠ 0 := h.1
@[simp]
lemma smoothNumbers_zero : smoothNumbers 0 = {1} := by
simp only [smoothNumbers_eq_factoredNumbers, Finset.range_zero, factoredNumbers_empty]
/-- The product of two `n`-smooth numbers is an `n`-smooth number. -/
theorem mul_mem_smoothNumbers {m₁ m₂ n : ℕ}
(hm1 : m₁ ∈ n.smoothNumbers) (hm2 : m₂ ∈ n.smoothNumbers) : m₁ * m₂ ∈ n.smoothNumbers := by
rw [smoothNumbers_eq_factoredNumbers] at hm1 hm2 ⊢
exact mul_mem_factoredNumbers hm1 hm2
/-- The product of the prime factors of `n` that are less than `N` is an `N`-smooth number. -/
lemma prod_mem_smoothNumbers (n N : ℕ) :
(n.primeFactorsList.filter (· < N)).prod ∈ smoothNumbers N := by
simp only [smoothNumbers_eq_factoredNumbers, ← Finset.mem_range, prod_mem_factoredNumbers]
| /-- The sets of `N`-smooth and of `(N+1)`-smooth numbers are the same when `N` is not prime.
See `Nat.equivProdNatSmoothNumbers` for when `N` is prime. -/
lemma smoothNumbers_succ {N : ℕ} (hN : ¬ N.Prime) : (N + 1).smoothNumbers = N.smoothNumbers := by
| Mathlib/NumberTheory/SmoothNumbers.lean | 348 | 350 |
/-
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
import Mathlib.Algebra.Star.SelfAdjoint
/-!
# 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 }
variable {s} in
@[simp]
lemma subtype_apply (x : s) : subtype s x = x := rfl
lemma subtype_injective :
Function.Injective (subtype s) :=
Subtype.coe_injective
@[simp]
theorem coe_subtype : (subtype s : s → A) = Subtype.val :=
rfl
@[deprecated (since := "2025-02-18")]
alias coeSubtype := coe_subtype
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] : Type v
extends NonUnitalSubalgebra R A 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] [StarHomClass F 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
/-- The actual `NonUnitalStarSubalgebra` obtained from an element of a type satisfying
`NonUnitalSubsemiringClass`, `SMulMemClass` and `StarMemClass`. -/
@[simps]
def ofClass {S R A : Type*} [CommSemiring R] [NonUnitalNonAssocSemiring A] [Module R A] [Star A]
[SetLike S A] [NonUnitalSubsemiringClass S A] [SMulMemClass S R A] [StarMemClass S A]
(s : S) : NonUnitalStarSubalgebra R A where
carrier := s
add_mem' := add_mem
zero_mem' := zero_mem _
mul_mem' := mul_mem
smul_mem' := SMulMemClass.smul_mem
star_mem' := star_mem
instance (priority := 100) : CanLift (Set A) (NonUnitalStarSubalgebra R A) (↑)
(fun s ↦ 0 ∈ s ∧ (∀ {x y}, x ∈ s → y ∈ s → x + y ∈ s) ∧ (∀ {x y}, x ∈ s → y ∈ s → x * y ∈ s) ∧
(∀ (r : R) {x}, x ∈ s → r • x ∈ s) ∧ ∀ {x}, x ∈ s → star x ∈ s) where
prf s h :=
⟨ { carrier := s
zero_mem' := h.1
add_mem' := h.2.1
mul_mem' := h.2.2.1
smul_mem' := h.2.2.2.1
star_mem' := h.2.2.2.2 },
rfl ⟩
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] [NonUnitalNonAssocRing 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] [NonUnitalNonAssocRing 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 [SMul R' R] [SMul 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] [NonUnitalNonAssocRing 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] [StarHomClass F 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] [StarHomClass F 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 [StarModule R A]
/-- 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)
variable [IsScalarTower R A A] [SMulCommClass R A A]
/-- 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 _ =>
NonUnitalAlgebra.adjoin_le fun _ 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] [Module R A]
variable [NonUnitalSemiring B] [StarRing B] [Module R B]
variable [FunLike F A B] [NonUnitalAlgHomClass F R A B] [StarHomClass F A B]
section StarSubAlgebraA
variable [IsScalarTower R A A] [SMulCommClass R A A] [StarModule R A]
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 : A) → x ∈ adjoin R s → Prop}
(mem : ∀ (x : A) (hx : x ∈ s), p x (subset_adjoin R s hx))
(add : ∀ x y hx hy, p x hx → p y hy → p (x + y) (add_mem hx hy))
(zero : p 0 (zero_mem _)) (mul : ∀ x y hx 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))
{a : A} (ha : a ∈ adjoin R s) : 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 {R} [CommSemiring R] [Module R A] (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]
theorem top_toNonUnitalSubalgebra :
(⊤ : NonUnitalStarSubalgebra R A).toNonUnitalSubalgebra = ⊤ := by ext; simp
@[simp]
theorem toNonUnitalSubalgebra_eq_top {S : NonUnitalStarSubalgebra R A} :
S.toNonUnitalSubalgebra = ⊤ ↔ S = ⊤ :=
NonUnitalStarSubalgebra.toNonUnitalSubalgebra_injective.eq_iff' top_toNonUnitalSubalgebra
theorem mem_sup_left {S T : NonUnitalStarSubalgebra R A} : ∀ {x : A}, x ∈ S → x ∈ S ⊔ T := by
rw [← SetLike.le_def]
exact le_sup_left
theorem mem_sup_right {S T : NonUnitalStarSubalgebra R A} : ∀ {x : A}, x ∈ T → x ∈ S ⊔ T := by
rw [← SetLike.le_def]
exact le_sup_right
theorem mul_mem_sup {S T : NonUnitalStarSubalgebra R A} {x y : A} (hx : x ∈ S) (hy : y ∈ T) :
x * y ∈ S ⊔ T :=
mul_mem (mem_sup_left hx) (mem_sup_right hy)
theorem map_sup [IsScalarTower R B B] [SMulCommClass R B B] [StarModule R B] (f : F)
(S T : NonUnitalStarSubalgebra R A) :
((S ⊔ T).map f : NonUnitalStarSubalgebra R B) = S.map f ⊔ T.map f :=
(NonUnitalStarSubalgebra.gc_map_comap f).l_sup
theorem map_inf [IsScalarTower R B B] [SMulCommClass R B B] [StarModule R B] (f : F)
(hf : Function.Injective f) (S T : NonUnitalStarSubalgebra R A) :
((S ⊓ T).map f : NonUnitalStarSubalgebra R B) = S.map f ⊓ T.map f :=
SetLike.coe_injective (Set.image_inter hf)
@[simp, norm_cast]
theorem coe_inf (S T : NonUnitalStarSubalgebra R A) : (↑(S ⊓ T) : Set A) = (S : Set A) ∩ T :=
rfl
@[simp]
theorem mem_inf {S T : NonUnitalStarSubalgebra R A} {x : A} : x ∈ S ⊓ T ↔ x ∈ S ∧ x ∈ T :=
Iff.rfl
@[simp]
theorem inf_toNonUnitalSubalgebra (S T : NonUnitalStarSubalgebra R A) :
(S ⊓ T).toNonUnitalSubalgebra = S.toNonUnitalSubalgebra ⊓ T.toNonUnitalSubalgebra :=
SetLike.coe_injective <| coe_inf _ _
-- it's a bit surprising `rfl` fails here.
@[simp, norm_cast]
theorem coe_sInf (S : Set (NonUnitalStarSubalgebra R A)) : (↑(sInf S) : Set A) = ⋂ s ∈ S, ↑s :=
sInf_image
theorem mem_sInf {S : Set (NonUnitalStarSubalgebra R A)} {x : A} : x ∈ sInf S ↔ ∀ p ∈ S, x ∈ p := by
simp only [← SetLike.mem_coe, coe_sInf, Set.mem_iInter₂]
@[simp]
theorem sInf_toNonUnitalSubalgebra (S : Set (NonUnitalStarSubalgebra R A)) :
(sInf S).toNonUnitalSubalgebra = sInf (NonUnitalStarSubalgebra.toNonUnitalSubalgebra '' S) :=
SetLike.coe_injective <| by simp
@[simp, norm_cast]
theorem coe_iInf {ι : Sort*} {S : ι → NonUnitalStarSubalgebra R A} :
(↑(⨅ i, S i) : Set A) = ⋂ i, S i := by simp [iInf]
theorem mem_iInf {ι : Sort*} {S : ι → NonUnitalStarSubalgebra R A} {x : A} :
(x ∈ ⨅ i, S i) ↔ ∀ i, x ∈ S i := by simp only [iInf, mem_sInf, Set.forall_mem_range]
theorem map_iInf {ι : Sort*} [Nonempty ι]
[IsScalarTower R B B] [SMulCommClass R B B] [StarModule R B] (f : F)
(hf : Function.Injective f) (S : ι → NonUnitalStarSubalgebra R A) :
((⨅ i, S i).map f : NonUnitalStarSubalgebra R B) = ⨅ i, (S i).map f := by
apply SetLike.coe_injective
simpa using (Set.injOn_of_injective hf).image_iInter_eq (s := SetLike.coe ∘ S)
@[simp]
theorem iInf_toNonUnitalSubalgebra {ι : Sort*} (S : ι → NonUnitalStarSubalgebra R A) :
(⨅ i, S i).toNonUnitalSubalgebra = ⨅ i, (S i).toNonUnitalSubalgebra :=
SetLike.coe_injective <| by simp
instance : Inhabited (NonUnitalStarSubalgebra R A) :=
⟨⊥⟩
theorem mem_bot {x : A} : x ∈ (⊥ : NonUnitalStarSubalgebra R A) ↔ x = 0 :=
show x ∈ NonUnitalAlgebra.adjoin R (∅ ∪ star ∅ : Set A) ↔ x = 0 by
rw [Set.star_empty, Set.union_empty, NonUnitalAlgebra.adjoin_empty, NonUnitalAlgebra.mem_bot]
theorem toNonUnitalSubalgebra_bot :
(⊥ : NonUnitalStarSubalgebra R A).toNonUnitalSubalgebra = ⊥ := by
ext x
simp only [mem_bot, NonUnitalStarSubalgebra.mem_toNonUnitalSubalgebra, NonUnitalAlgebra.mem_bot]
@[simp]
theorem coe_bot : ((⊥ : NonUnitalStarSubalgebra R A) : Set A) = {0} := by
simp only [Set.ext_iff, NonUnitalStarAlgebra.mem_bot, SetLike.mem_coe, Set.mem_singleton_iff,
forall_const]
theorem eq_top_iff {S : NonUnitalStarSubalgebra R A} : S = ⊤ ↔ ∀ x : A, x ∈ S :=
⟨fun h x => by rw [h]; exact mem_top,
fun h => by ext x; exact ⟨fun _ => mem_top, fun _ => h x⟩⟩
@[simp]
theorem range_id : NonUnitalStarAlgHom.range (NonUnitalStarAlgHom.id R A) = ⊤ :=
SetLike.coe_injective Set.range_id
@[simp]
theorem map_bot [IsScalarTower R B B] [SMulCommClass R B B] [StarModule R B] (f : F) :
(⊥ : NonUnitalStarSubalgebra R A).map f = ⊥ :=
SetLike.coe_injective <| by simp [NonUnitalAlgebra.coe_bot, NonUnitalStarSubalgebra.coe_map]
@[simp]
theorem comap_top [IsScalarTower R B B] [SMulCommClass R B B] [StarModule R B] (f : F) :
(⊤ : NonUnitalStarSubalgebra R B).comap f = ⊤ :=
eq_top_iff.2 fun _x => mem_top
/-- `NonUnitalStarAlgHom` to `⊤ : NonUnitalStarSubalgebra R A`. -/
def toTop : A →⋆ₙₐ[R] (⊤ : NonUnitalStarSubalgebra R A) :=
NonUnitalStarAlgHom.codRestrict (NonUnitalStarAlgHom.id R A) ⊤ fun _ => mem_top
end StarSubAlgebraA
theorem range_eq_top [IsScalarTower R B B] [SMulCommClass R B B] [StarModule R B]
(f : F) : NonUnitalStarAlgHom.range f = (⊤ : NonUnitalStarSubalgebra R B) ↔
Function.Surjective f :=
NonUnitalStarAlgebra.eq_top_iff
@[deprecated (since := "2024-11-11")] alias range_top_iff_surjective := range_eq_top
@[simp]
theorem map_top [IsScalarTower R A A] [SMulCommClass R A A] [StarModule R A] (f : F) :
(⊤ : NonUnitalStarSubalgebra R A).map f = NonUnitalStarAlgHom.range f :=
SetLike.coe_injective Set.image_univ
end NonUnitalStarAlgebra
namespace NonUnitalStarSubalgebra
open NonUnitalStarAlgebra
variable [CommSemiring R]
variable [NonUnitalSemiring A] [StarRing A] [Module R A]
variable [NonUnitalSemiring B] [StarRing B] [Module R B]
variable [FunLike F A B] [NonUnitalAlgHomClass F R A B] [StarHomClass F A B]
variable (S : NonUnitalStarSubalgebra R A)
section StarSubalgebra
variable [StarRing R]
variable [IsScalarTower R A A] [SMulCommClass R A A] [StarModule R A]
variable [IsScalarTower R B B] [SMulCommClass R B B] [StarModule R B]
lemma _root_.NonUnitalStarAlgHom.map_adjoin (f : F) (s : Set A) :
map f (adjoin R s) = adjoin R (f '' s) :=
Set.image_preimage.l_comm_of_u_comm (gc_map_comap f) NonUnitalStarAlgebra.gi.gc
NonUnitalStarAlgebra.gi.gc fun _t => rfl
@[simp]
lemma _root_.NonUnitalStarAlgHom.map_adjoin_singleton (f : F) (x : A) :
map f (adjoin R {x}) = adjoin R {f x} := by
simp [NonUnitalStarAlgHom.map_adjoin]
instance subsingleton_of_subsingleton [Subsingleton A] :
Subsingleton (NonUnitalStarSubalgebra R A) :=
⟨fun B C => ext fun x => by simp only [Subsingleton.elim x 0, zero_mem B, zero_mem C]⟩
instance _root_.NonUnitalStarAlgHom.subsingleton [Subsingleton (NonUnitalStarSubalgebra R A)] :
Subsingleton (A →⋆ₙₐ[R] B) :=
⟨fun f g => NonUnitalStarAlgHom.ext fun a =>
have : a ∈ (⊥ : NonUnitalStarSubalgebra R A) :=
Subsingleton.elim (⊤ : NonUnitalStarSubalgebra R A) ⊥ ▸ mem_top
(mem_bot.mp this).symm ▸ (map_zero f).trans (map_zero g).symm⟩
| /--
| Mathlib/Algebra/Star/NonUnitalSubalgebra.lean | 916 | 916 |
/-
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
-/
import Mathlib.Data.ENNReal.Action
import Mathlib.MeasureTheory.MeasurableSpace.Constructions
import Mathlib.MeasureTheory.OuterMeasure.Caratheodory
/-!
# Induced Outer Measure
We can extend a function defined on a subset of `Set α` to an outer measure.
The underlying function is called `extend`, and the measure it induces is called
`inducedOuterMeasure`.
Some lemmas below are proven twice, once in the general case, and one where the function `m`
is only defined on measurable sets (i.e. when `P = MeasurableSet`). In the latter cases, we can
remove some hypotheses in the statement. The general version has the same name, but with a prime
at the end.
## Tags
outer measure
-/
noncomputable section
open Set Function Filter
open scoped NNReal Topology ENNReal
namespace MeasureTheory
open OuterMeasure
section Extend
variable {α : Type*} {P : α → Prop}
variable (m : ∀ s : α, P s → ℝ≥0∞)
/-- We can trivially extend a function defined on a subclass of objects (with codomain `ℝ≥0∞`)
to all objects by defining it to be `∞` on the objects not in the class. -/
def extend (s : α) : ℝ≥0∞ :=
⨅ h : P s, m s h
theorem extend_eq {s : α} (h : P s) : extend m s = m s h := by simp [extend, h]
theorem extend_eq_top {s : α} (h : ¬P s) : extend m s = ∞ := by simp [extend, h]
theorem smul_extend {R} [Zero R] [SMulWithZero R ℝ≥0∞] [IsScalarTower R ℝ≥0∞ ℝ≥0∞]
[NoZeroSMulDivisors R ℝ≥0∞] {c : R} (hc : c ≠ 0) :
c • extend m = extend fun s h => c • m s h := by
classical
ext1 s
dsimp [extend]
by_cases h : P s
· simp [h]
· simp [h, ENNReal.smul_top, hc]
theorem le_extend {s : α} (h : P s) : m s h ≤ extend m s := by
simp only [extend, le_iInf_iff]
intro
rfl
-- TODO: why this is a bad `congr` lemma?
theorem extend_congr {β : Type*} {Pb : β → Prop} {mb : ∀ s : β, Pb s → ℝ≥0∞} {sa : α} {sb : β}
(hP : P sa ↔ Pb sb) (hm : ∀ (ha : P sa) (hb : Pb sb), m sa ha = mb sb hb) :
extend m sa = extend mb sb :=
iInf_congr_Prop hP fun _h => hm _ _
@[simp]
theorem extend_top {α : Type*} {P : α → Prop} : extend (fun _ _ => ∞ : ∀ s : α, P s → ℝ≥0∞) = ⊤ :=
funext fun _ => iInf_eq_top.mpr fun _ => rfl
end Extend
section ExtendSet
variable {α : Type*} {P : Set α → Prop}
variable {m : ∀ s : Set α, P s → ℝ≥0∞}
variable (P0 : P ∅) (m0 : m ∅ P0 = 0)
variable (PU : ∀ ⦃f : ℕ → Set α⦄ (_hm : ∀ i, P (f i)), P (⋃ i, f i))
variable
(mU :
∀ ⦃f : ℕ → Set α⦄ (hm : ∀ i, P (f i)),
Pairwise (Disjoint on f) → m (⋃ i, f i) (PU hm) = ∑' i, m (f i) (hm i))
variable (msU : ∀ ⦃f : ℕ → Set α⦄ (hm : ∀ i, P (f i)), m (⋃ i, f i) (PU hm) ≤ ∑' i, m (f i) (hm i))
variable (m_mono : ∀ ⦃s₁ s₂ : Set α⦄ (hs₁ : P s₁) (hs₂ : P s₂), s₁ ⊆ s₂ → m s₁ hs₁ ≤ m s₂ hs₂)
theorem extend_iUnion_nat {f : ℕ → Set α} (hm : ∀ i, P (f i))
(mU : m (⋃ i, f i) (PU hm) = ∑' i, m (f i) (hm i)) :
extend m (⋃ i, f i) = ∑' i, extend m (f i) :=
(extend_eq _ _).trans <|
mU.trans <| by
congr with i
rw [extend_eq]
include P0 m0 in
theorem extend_empty : extend m ∅ = 0 :=
(extend_eq _ P0).trans m0
section Subadditive
include PU msU in
theorem extend_iUnion_le_tsum_nat' (s : ℕ → Set α) :
extend m (⋃ i, s i) ≤ ∑' i, extend m (s i) := by
by_cases h : ∀ i, P (s i)
· rw [extend_eq _ (PU h), congr_arg tsum _]
· apply msU h
funext i
apply extend_eq _ (h i)
· obtain ⟨i, hi⟩ := not_forall.1 h
exact le_trans (le_iInf fun h => hi.elim h) (ENNReal.le_tsum i)
end Subadditive
section Mono
include m_mono in
theorem extend_mono' ⦃s₁ s₂ : Set α⦄ (h₁ : P s₁) (hs : s₁ ⊆ s₂) : extend m s₁ ≤ extend m s₂ := by
refine le_iInf ?_
intro h₂
rw [extend_eq m h₁]
exact m_mono h₁ h₂ hs
end Mono
section Unions
include P0 m0 PU mU in
theorem extend_iUnion {β} [Countable β] {f : β → Set α} (hd : Pairwise (Disjoint on f))
(hm : ∀ i, P (f i)) : extend m (⋃ i, f i) = ∑' i, extend m (f i) := by
cases nonempty_encodable β
rw [← Encodable.iUnion_decode₂, ← tsum_iUnion_decode₂]
· exact
extend_iUnion_nat PU (fun n => Encodable.iUnion_decode₂_cases P0 hm)
(mU _ (Encodable.iUnion_decode₂_disjoint_on hd))
· exact extend_empty P0 m0
include P0 m0 PU mU in
theorem extend_union {s₁ s₂ : Set α} (hd : Disjoint s₁ s₂) (h₁ : P s₁) (h₂ : P s₂) :
extend m (s₁ ∪ s₂) = extend m s₁ + extend m s₂ := by
rw [union_eq_iUnion,
extend_iUnion P0 m0 PU mU (pairwise_disjoint_on_bool.2 hd) (Bool.forall_bool.2 ⟨h₂, h₁⟩),
tsum_fintype]
simp
end Unions
variable (m)
/-- Given an arbitrary function on a subset of sets, we can define the outer measure corresponding
to it (this is the unique maximal outer measure that is at most `m` on the domain of `m`). -/
def inducedOuterMeasure : OuterMeasure α :=
OuterMeasure.ofFunction (extend m) (extend_empty P0 m0)
variable {m P0 m0}
theorem le_inducedOuterMeasure {μ : OuterMeasure α} :
μ ≤ inducedOuterMeasure m P0 m0 ↔ ∀ (s) (hs : P s), μ s ≤ m s hs :=
le_ofFunction.trans <| forall_congr' fun _s => le_iInf_iff
/-- If `P u` is `False` for any set `u` that has nonempty intersection both with `s` and `t`, then
`μ (s ∪ t) = μ s + μ t`, where `μ = inducedOuterMeasure m P0 m0`.
E.g., if `α` is an (e)metric space and `P u = diam u < r`, then this lemma implies that
`μ (s ∪ t) = μ s + μ t` on any two sets such that `r ≤ edist x y` for all `x ∈ s` and `y ∈ t`. -/
theorem inducedOuterMeasure_union_of_false_of_nonempty_inter {s t : Set α}
(h : ∀ u, (s ∩ u).Nonempty → (t ∩ u).Nonempty → ¬P u) :
inducedOuterMeasure m P0 m0 (s ∪ t) =
inducedOuterMeasure m P0 m0 s + inducedOuterMeasure m P0 m0 t :=
ofFunction_union_of_top_of_nonempty_inter fun u hsu htu => @iInf_of_empty _ _ _ ⟨h u hsu htu⟩ _
include PU msU m_mono
theorem inducedOuterMeasure_eq_extend' {s : Set α} (hs : P s) :
inducedOuterMeasure m P0 m0 s = extend m s :=
ofFunction_eq s (fun _t => extend_mono' m_mono hs) (extend_iUnion_le_tsum_nat' PU msU)
theorem inducedOuterMeasure_eq' {s : Set α} (hs : P s) : inducedOuterMeasure m P0 m0 s = m s hs :=
(inducedOuterMeasure_eq_extend' PU msU m_mono hs).trans <| extend_eq _ _
theorem inducedOuterMeasure_eq_iInf (s : Set α) :
inducedOuterMeasure m P0 m0 s = ⨅ (t : Set α) (ht : P t) (_ : s ⊆ t), m t ht := by
apply le_antisymm
· simp only [le_iInf_iff]
intro t ht hs
refine le_trans (measure_mono hs) ?_
exact le_of_eq (inducedOuterMeasure_eq' _ msU m_mono _)
· refine le_iInf ?_
intro f
refine le_iInf ?_
intro hf
refine le_trans ?_ (extend_iUnion_le_tsum_nat' _ msU _)
refine le_iInf ?_
intro h2f
exact iInf_le_of_le _ (iInf_le_of_le h2f <| iInf_le _ hf)
theorem inducedOuterMeasure_preimage (f : α ≃ α) (Pm : ∀ s : Set α, P (f ⁻¹' s) ↔ P s)
(mm : ∀ (s : Set α) (hs : P s), m (f ⁻¹' s) ((Pm _).mpr hs) = m s hs) {A : Set α} :
inducedOuterMeasure m P0 m0 (f ⁻¹' A) = inducedOuterMeasure m P0 m0 A := by
rw [inducedOuterMeasure_eq_iInf _ msU m_mono, inducedOuterMeasure_eq_iInf _ msU m_mono]; symm
refine f.injective.preimage_surjective.iInf_congr (preimage f) fun s => ?_
refine iInf_congr_Prop (Pm s) ?_; intro hs
refine iInf_congr_Prop f.surjective.preimage_subset_preimage_iff ?_
intro _; exact mm s hs
theorem inducedOuterMeasure_exists_set {s : Set α} (hs : inducedOuterMeasure m P0 m0 s ≠ ∞)
{ε : ℝ≥0∞} (hε : ε ≠ 0) :
∃ t : Set α,
P t ∧ s ⊆ t ∧ inducedOuterMeasure m P0 m0 t ≤ inducedOuterMeasure m P0 m0 s + ε := by
have h := ENNReal.lt_add_right hs hε
conv at h =>
lhs
rw [inducedOuterMeasure_eq_iInf _ msU m_mono]
simp only [iInf_lt_iff] at h
rcases h with ⟨t, h1t, h2t, h3t⟩
exact
⟨t, h1t, h2t, le_trans (le_of_eq <| inducedOuterMeasure_eq' _ msU m_mono h1t) (le_of_lt h3t)⟩
|
/-- To test whether `s` is Carathéodory-measurable we only need to check the sets `t` for which
`P t` holds. See `ofFunction_caratheodory` for another way to show the Carathéodory-measurability
of `s`.
-/
theorem inducedOuterMeasure_caratheodory (s : Set α) :
MeasurableSet[(inducedOuterMeasure m P0 m0).caratheodory] s ↔
∀ t : Set α,
P t →
inducedOuterMeasure m P0 m0 (t ∩ s) + inducedOuterMeasure m P0 m0 (t \ s) ≤
inducedOuterMeasure m P0 m0 t := by
rw [isCaratheodory_iff_le]
| Mathlib/MeasureTheory/OuterMeasure/Induced.lean | 223 | 234 |
/-
Copyright (c) 2023 Junyan Xu. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Junyan Xu
-/
import Mathlib.Topology.Connected.Basic
import Mathlib.Topology.Separation.Hausdorff
import Mathlib.Topology.Connected.Clopen
/-!
# Separated maps and locally injective maps out of a topological space.
This module introduces a pair of dual notions `IsSeparatedMap` and `IsLocallyInjective`.
A function from a topological space `X` to a type `Y` is a separated map if any two distinct
points in `X` with the same image in `Y` can be separated by open neighborhoods.
A constant function is a separated map if and only if `X` is a `T2Space`.
A function from a topological space `X` is locally injective if every point of `X`
has a neighborhood on which `f` is injective.
A constant function is locally injective if and only if `X` is discrete.
Given `f : X → Y` we can form the pullback $X \times_Y X$; the diagonal map
$\Delta: X \to X \times_Y X$ is always an embedding. It is a closed embedding
iff `f` is a separated map, iff the equal locus of any two continuous maps
coequalized by `f` is closed. It is an open embedding iff `f` is locally injective,
iff any such equal locus is open. Therefore, if `f` is a locally injective separated map,
the equal locus of two continuous maps coequalized by `f` is clopen, so if the two maps
agree on a point, then they agree on the whole connected component.
The analogue of separated maps and locally injective maps in algebraic geometry are
separated morphisms and unramified morphisms, respectively.
## Reference
https://stacks.math.columbia.edu/tag/0CY0
-/
open Topology
variable {X Y A} [TopologicalSpace X] [TopologicalSpace A]
protected lemma Topology.IsEmbedding.toPullbackDiag (f : X → Y) : IsEmbedding (toPullbackDiag f) :=
.mk' _ (injective_toPullbackDiag f) fun x ↦ by
simp [nhds_induced, Filter.comap_comap, nhds_prod_eq, Filter.comap_prod, Function.comp_def,
Filter.comap_id']
@[deprecated (since := "2024-10-26")]
alias embedding_toPullbackDiag := IsEmbedding.toPullbackDiag
lemma Continuous.mapPullback {X₁ X₂ Y₁ Y₂ Z₁ Z₂}
[TopologicalSpace X₁] [TopologicalSpace X₂] [TopologicalSpace Z₁] [TopologicalSpace Z₂]
{f₁ : X₁ → Y₁} {g₁ : Z₁ → Y₁} {f₂ : X₂ → Y₂} {g₂ : Z₂ → Y₂}
{mapX : X₁ → X₂} (contX : Continuous mapX) {mapY : Y₁ → Y₂}
{mapZ : Z₁ → Z₂} (contZ : Continuous mapZ)
{commX : f₂ ∘ mapX = mapY ∘ f₁} {commZ : g₂ ∘ mapZ = mapY ∘ g₁} :
Continuous (Function.mapPullback mapX mapY mapZ commX commZ) := by
refine continuous_induced_rng.mpr (.prodMk ?_ ?_) <;>
apply_rules [continuous_fst, continuous_snd, continuous_subtype_val, Continuous.comp]
/-- A function from a topological space `X` to a type `Y` is a separated map if any two distinct
points in `X` with the same image in `Y` can be separated by open neighborhoods. -/
def IsSeparatedMap (f : X → Y) : Prop := ∀ x₁ x₂, f x₁ = f x₂ →
x₁ ≠ x₂ → ∃ s₁ s₂, IsOpen s₁ ∧ IsOpen s₂ ∧ x₁ ∈ s₁ ∧ x₂ ∈ s₂ ∧ Disjoint s₁ s₂
lemma t2space_iff_isSeparatedMap (y : Y) : T2Space X ↔ IsSeparatedMap fun _ : X ↦ y :=
⟨fun ⟨t2⟩ _ _ _ hne ↦ t2 hne, fun sep ↦ ⟨fun x₁ x₂ hne ↦ sep x₁ x₂ rfl hne⟩⟩
lemma T2Space.isSeparatedMap [T2Space X] (f : X → Y) : IsSeparatedMap f := fun _ _ _ ↦ t2_separation
lemma Function.Injective.isSeparatedMap {f : X → Y} (inj : f.Injective) : IsSeparatedMap f :=
fun _ _ he hne ↦ (hne (inj he)).elim
lemma isSeparatedMap_iff_disjoint_nhds {f : X → Y} : IsSeparatedMap f ↔
∀ x₁ x₂, f x₁ = f x₂ → x₁ ≠ x₂ → Disjoint (𝓝 x₁) (𝓝 x₂) :=
forall₃_congr fun x x' _ ↦ by simp only [(nhds_basis_opens x).disjoint_iff (nhds_basis_opens x'),
exists_prop, ← exists_and_left, and_assoc, and_comm, and_left_comm]
lemma isSeparatedMap_iff_nhds {f : X → Y} : IsSeparatedMap f ↔
∀ x₁ x₂, f x₁ = f x₂ → x₁ ≠ x₂ → ∃ s₁ ∈ 𝓝 x₁, ∃ s₂ ∈ 𝓝 x₂, Disjoint s₁ s₂ := by
simp_rw [isSeparatedMap_iff_disjoint_nhds, Filter.disjoint_iff]
open Set Filter in
theorem isSeparatedMap_iff_isClosed_diagonal {f : X → Y} :
IsSeparatedMap f ↔ IsClosed f.pullbackDiagonal := by
simp_rw [isSeparatedMap_iff_nhds, ← isOpen_compl_iff, isOpen_iff_mem_nhds,
Subtype.forall, Prod.forall, nhds_induced, nhds_prod_eq]
refine forall₄_congr fun x₁ x₂ _ _ ↦ ⟨fun h ↦ ?_, fun ⟨t, ht, t_sub⟩ ↦ ?_⟩
· simp_rw [← Filter.disjoint_iff, ← compl_diagonal_mem_prod] at h
exact ⟨_, h, subset_rfl⟩
· obtain ⟨s₁, h₁, s₂, h₂, s_sub⟩ := mem_prod_iff.mp ht
exact ⟨s₁, h₁, s₂, h₂, disjoint_left.2 fun x h₁ h₂ ↦ @t_sub ⟨(x, x), rfl⟩ (s_sub ⟨h₁, h₂⟩) rfl⟩
theorem isSeparatedMap_iff_isClosedEmbedding {f : X → Y} :
IsSeparatedMap f ↔ IsClosedEmbedding (toPullbackDiag f) := by
rw [isSeparatedMap_iff_isClosed_diagonal, ← range_toPullbackDiag]
exact ⟨fun h ↦ ⟨.toPullbackDiag f, h⟩, fun h ↦ h.isClosed_range⟩
theorem isSeparatedMap_iff_isClosedMap {f : X → Y} :
IsSeparatedMap f ↔ IsClosedMap (toPullbackDiag f) :=
isSeparatedMap_iff_isClosedEmbedding.trans
⟨IsClosedEmbedding.isClosedMap, .of_continuous_injective_isClosedMap
(IsEmbedding.toPullbackDiag f).continuous (injective_toPullbackDiag f)⟩
open Function.Pullback in
theorem IsSeparatedMap.pullback {f : X → Y} (sep : IsSeparatedMap f) (g : A → Y) :
IsSeparatedMap (@snd X Y A f g) := by
rw [isSeparatedMap_iff_isClosed_diagonal] at sep ⊢
rw [← preimage_map_fst_pullbackDiagonal]
refine sep.preimage (Continuous.mapPullback ?_ ?_) <;>
apply_rules [continuous_fst, continuous_subtype_val, Continuous.comp]
theorem IsSeparatedMap.comp_left {A} {f : X → Y} (sep : IsSeparatedMap f) {g : Y → A}
(inj : g.Injective) : IsSeparatedMap (g ∘ f) := fun x₁ x₂ he ↦ sep x₁ x₂ (inj he)
theorem IsSeparatedMap.comp_right {f : X → Y} (sep : IsSeparatedMap f) {g : A → X}
(cont : Continuous g) (inj : g.Injective) : IsSeparatedMap (f ∘ g) := by
rw [isSeparatedMap_iff_isClosed_diagonal] at sep ⊢
rw [← inj.preimage_pullbackDiagonal]
exact sep.preimage (cont.mapPullback cont)
/-- A function from a topological space `X` is locally injective if every point of `X`
has a neighborhood on which `f` is injective. -/
def IsLocallyInjective (f : X → Y) : Prop := ∀ x : X, ∃ U, IsOpen U ∧ x ∈ U ∧ U.InjOn f
|
lemma Function.Injective.IsLocallyInjective {f : X → Y} (inj : f.Injective) :
IsLocallyInjective f := fun _ ↦ ⟨_, isOpen_univ, trivial, fun _ _ _ _ ↦ @inj _ _⟩
lemma isLocallyInjective_iff_nhds {f : X → Y} :
IsLocallyInjective f ↔ ∀ x : X, ∃ U ∈ 𝓝 x, U.InjOn f := by
| Mathlib/Topology/SeparatedMap.lean | 124 | 129 |
/-
Copyright (c) 2020 Damiano Testa. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Damiano Testa
-/
import Mathlib.Algebra.Polynomial.Degree.TrailingDegree
import Mathlib.Algebra.Polynomial.EraseLead
/-!
# Reverse of a univariate polynomial
The main definition is `reverse`. Applying `reverse` to a polynomial `f : R[X]` produces
the polynomial with a reversed list of coefficients, equivalent to `X^f.natDegree * f(1/X)`.
The main result is that `reverse (f * g) = reverse f * reverse g`, provided the leading
coefficients of `f` and `g` do not multiply to zero.
-/
namespace Polynomial
open Finsupp Finset
open scoped Polynomial
section Semiring
variable {R : Type*} [Semiring R] {f : R[X]}
/-- If `i ≤ N`, then `revAtFun N i` returns `N - i`, otherwise it returns `i`.
This is the map used by the embedding `revAt`.
-/
def revAtFun (N i : ℕ) : ℕ :=
ite (i ≤ N) (N - i) i
theorem revAtFun_invol {N i : ℕ} : revAtFun N (revAtFun N i) = i := by
unfold revAtFun
split_ifs with h j
· exact tsub_tsub_cancel_of_le h
· exfalso
apply j
exact Nat.sub_le N i
· rfl
theorem revAtFun_inj {N : ℕ} : Function.Injective (revAtFun N) := by
intro a b hab
rw [← @revAtFun_invol N a, hab, revAtFun_invol]
/-- If `i ≤ N`, then `revAt N i` returns `N - i`, otherwise it returns `i`.
Essentially, this embedding is only used for `i ≤ N`.
The advantage of `revAt N i` over `N - i` is that `revAt` is an involution.
-/
def revAt (N : ℕ) : Function.Embedding ℕ ℕ where
toFun i := ite (i ≤ N) (N - i) i
inj' := revAtFun_inj
/-- We prefer to use the bundled `revAt` over unbundled `revAtFun`. -/
@[simp]
theorem revAtFun_eq (N i : ℕ) : revAtFun N i = revAt N i :=
rfl
@[simp]
theorem revAt_invol {N i : ℕ} : (revAt N) (revAt N i) = i :=
revAtFun_invol
@[simp]
theorem revAt_le {N i : ℕ} (H : i ≤ N) : revAt N i = N - i :=
if_pos H
lemma revAt_eq_self_of_lt {N i : ℕ} (h : N < i) : revAt N i = i := by simp [revAt, Nat.not_le.mpr h]
theorem revAt_add {N O n o : ℕ} (hn : n ≤ N) (ho : o ≤ O) :
revAt (N + O) (n + o) = revAt N n + revAt O o := by
rcases Nat.le.dest hn with ⟨n', rfl⟩
rcases Nat.le.dest ho with ⟨o', rfl⟩
repeat' rw [revAt_le (le_add_right rfl.le)]
rw [add_assoc, add_left_comm n' o, ← add_assoc, revAt_le (le_add_right rfl.le)]
repeat' rw [add_tsub_cancel_left]
theorem revAt_zero (N : ℕ) : revAt N 0 = N := by simp
/-- `reflect N f` is the polynomial such that `(reflect N f).coeff i = f.coeff (revAt N i)`.
In other words, the terms with exponent `[0, ..., N]` now have exponent `[N, ..., 0]`.
In practice, `reflect` is only used when `N` is at least as large as the degree of `f`.
Eventually, it will be used with `N` exactly equal to the degree of `f`. -/
noncomputable def reflect (N : ℕ) : R[X] → R[X]
| ⟨f⟩ => ⟨Finsupp.embDomain (revAt N) f⟩
theorem reflect_support (N : ℕ) (f : R[X]) :
(reflect N f).support = Finset.image (revAt N) f.support := by
rcases f with ⟨⟩
ext1
simp only [reflect, support_ofFinsupp, support_embDomain, Finset.mem_map, Finset.mem_image]
@[simp]
theorem coeff_reflect (N : ℕ) (f : R[X]) (i : ℕ) : coeff (reflect N f) i = f.coeff (revAt N i) := by
rcases f with ⟨f⟩
simp only [reflect, coeff]
calc
Finsupp.embDomain (revAt N) f i = Finsupp.embDomain (revAt N) f (revAt N (revAt N i)) := by
rw [revAt_invol]
_ = f (revAt N i) := Finsupp.embDomain_apply _ _ _
@[simp]
theorem reflect_zero {N : ℕ} : reflect N (0 : R[X]) = 0 :=
rfl
@[simp]
theorem reflect_eq_zero_iff {N : ℕ} {f : R[X]} : reflect N (f : R[X]) = 0 ↔ f = 0 := by
rw [ofFinsupp_eq_zero, reflect, embDomain_eq_zero, ofFinsupp_eq_zero]
@[simp]
theorem reflect_add (f g : R[X]) (N : ℕ) : reflect N (f + g) = reflect N f + reflect N g := by
ext
simp only [coeff_add, coeff_reflect]
@[simp]
theorem reflect_C_mul (f : R[X]) (r : R) (N : ℕ) : reflect N (C r * f) = C r * reflect N f := by
ext
simp only [coeff_reflect, coeff_C_mul]
theorem reflect_C_mul_X_pow (N n : ℕ) {c : R} : reflect N (C c * X ^ n) = C c * X ^ revAt N n := by
ext
rw [reflect_C_mul, coeff_C_mul, coeff_C_mul, coeff_X_pow, coeff_reflect]
split_ifs with h
· rw [h, revAt_invol, coeff_X_pow_self]
· rw [not_mem_support_iff.mp]
intro a
rw [← one_mul (X ^ n), ← C_1] at a
apply h
rw [← mem_support_C_mul_X_pow a, revAt_invol]
@[simp]
theorem reflect_C (r : R) (N : ℕ) : reflect N (C r) = C r * X ^ N := by
conv_lhs => rw [← mul_one (C r), ← pow_zero X, reflect_C_mul_X_pow, revAt_zero]
@[simp]
theorem reflect_monomial (N n : ℕ) : reflect N ((X : R[X]) ^ n) = X ^ revAt N n := by
rw [← one_mul (X ^ n), ← one_mul (X ^ revAt N n), ← C_1, reflect_C_mul_X_pow]
@[simp] lemma reflect_one_X : reflect 1 (X : R[X]) = 1 := by
simpa using reflect_monomial 1 1 (R := R)
lemma reflect_map {S : Type*} [Semiring S] (f : R →+* S) (p : R[X]) (n : ℕ) :
(p.map f).reflect n = (p.reflect n).map f := by
ext; simp
@[simp]
lemma reflect_one (n : ℕ) : (1 : R[X]).reflect n = Polynomial.X ^ n := by
rw [← C.map_one, reflect_C, map_one, one_mul]
theorem reflect_mul_induction (cf cg : ℕ) :
∀ N O : ℕ,
∀ f g : R[X],
#f.support ≤ cf.succ →
#g.support ≤ cg.succ →
f.natDegree ≤ N →
g.natDegree ≤ O → reflect (N + O) (f * g) = reflect N f * reflect O g := by
induction' cf with cf hcf
--first induction (left): base case
· induction' cg with cg hcg
-- second induction (right): base case
· intro N O f g Cf Cg Nf Og
rw [← C_mul_X_pow_eq_self Cf, ← C_mul_X_pow_eq_self Cg]
simp_rw [mul_assoc, X_pow_mul, mul_assoc, ← pow_add (X : R[X]), reflect_C_mul,
reflect_monomial, add_comm, revAt_add Nf Og, mul_assoc, X_pow_mul, mul_assoc, ←
pow_add (X : R[X]), add_comm]
-- second induction (right): induction step
· intro N O f g Cf Cg Nf Og
by_cases g0 : g = 0
· rw [g0, reflect_zero, mul_zero, mul_zero, reflect_zero]
rw [← eraseLead_add_C_mul_X_pow g, mul_add, reflect_add, reflect_add, mul_add, hcg, hcg] <;>
try assumption
· exact le_add_left card_support_C_mul_X_pow_le_one
· exact le_trans (natDegree_C_mul_X_pow_le g.leadingCoeff g.natDegree) Og
· exact Nat.lt_succ_iff.mp (gt_of_ge_of_gt Cg (eraseLead_support_card_lt g0))
· exact le_trans eraseLead_natDegree_le_aux Og
--first induction (left): induction step
· intro N O f g Cf Cg Nf Og
by_cases f0 : f = 0
· rw [f0, reflect_zero, zero_mul, zero_mul, reflect_zero]
rw [← eraseLead_add_C_mul_X_pow f, add_mul, reflect_add, reflect_add, add_mul, hcf, hcf] <;>
try assumption
· exact le_add_left card_support_C_mul_X_pow_le_one
· exact le_trans (natDegree_C_mul_X_pow_le f.leadingCoeff f.natDegree) Nf
· exact Nat.lt_succ_iff.mp (gt_of_ge_of_gt Cf (eraseLead_support_card_lt f0))
· exact le_trans eraseLead_natDegree_le_aux Nf
@[simp]
theorem reflect_mul (f g : R[X]) {F G : ℕ} (Ff : f.natDegree ≤ F) (Gg : g.natDegree ≤ G) :
reflect (F + G) (f * g) = reflect F f * reflect G g :=
reflect_mul_induction _ _ F G f g f.support.card.le_succ g.support.card.le_succ Ff Gg
section Eval₂
variable {S : Type*} [CommSemiring S]
theorem eval₂_reflect_mul_pow (i : R →+* S) (x : S) [Invertible x] (N : ℕ) (f : R[X])
(hf : f.natDegree ≤ N) : eval₂ i (⅟ x) (reflect N f) * x ^ N = eval₂ i x f := by
refine
induction_with_natDegree_le (fun f => eval₂ i (⅟ x) (reflect N f) * x ^ N = eval₂ i x f) _ ?_ ?_
?_ f hf
· simp
· intro n r _ hnN
simp only [revAt_le hnN, reflect_C_mul_X_pow, eval₂_X_pow, eval₂_C, eval₂_mul]
conv in x ^ N => rw [← Nat.sub_add_cancel hnN]
rw [pow_add, ← mul_assoc, mul_assoc (i r), ← mul_pow, invOf_mul_self, one_pow, mul_one]
· intros
simp [*, add_mul]
theorem eval₂_reflect_eq_zero_iff (i : R →+* S) (x : S) [Invertible x] (N : ℕ) (f : R[X])
(hf : f.natDegree ≤ N) : eval₂ i (⅟ x) (reflect N f) = 0 ↔ eval₂ i x f = 0 := by
conv_rhs => rw [← eval₂_reflect_mul_pow i x N f hf]
constructor
· intro h
rw [h, zero_mul]
· intro h
rw [← mul_one (eval₂ i (⅟ x) _), ← one_pow N, ← mul_invOf_self x, mul_pow, ← mul_assoc, h,
zero_mul]
end Eval₂
/-- The reverse of a polynomial f is the polynomial obtained by "reading f backwards".
Even though this is not the actual definition, `reverse f = f (1/X) * X ^ f.natDegree`. -/
noncomputable def reverse (f : R[X]) : R[X] :=
reflect f.natDegree f
theorem coeff_reverse (f : R[X]) (n : ℕ) : f.reverse.coeff n = f.coeff (revAt f.natDegree n) := by
rw [reverse, coeff_reflect]
@[simp]
theorem coeff_zero_reverse (f : R[X]) : coeff (reverse f) 0 = leadingCoeff f := by
rw [coeff_reverse, revAt_le (zero_le f.natDegree), tsub_zero, leadingCoeff]
@[simp]
theorem reverse_zero : reverse (0 : R[X]) = 0 :=
rfl
@[simp]
theorem reverse_eq_zero : f.reverse = 0 ↔ f = 0 := by simp [reverse]
theorem reverse_natDegree_le (f : R[X]) : f.reverse.natDegree ≤ f.natDegree := by
rw [natDegree_le_iff_degree_le, degree_le_iff_coeff_zero]
intro n hn
rw [Nat.cast_lt] at hn
rw [coeff_reverse, revAt, Function.Embedding.coeFn_mk, if_neg (not_le_of_gt hn),
coeff_eq_zero_of_natDegree_lt hn]
theorem natDegree_eq_reverse_natDegree_add_natTrailingDegree (f : R[X]) :
f.natDegree = f.reverse.natDegree + f.natTrailingDegree := by
by_cases hf : f = 0
· rw [hf, reverse_zero, natDegree_zero, natTrailingDegree_zero]
apply le_antisymm
· refine tsub_le_iff_right.mp ?_
apply le_natDegree_of_ne_zero
rw [reverse, coeff_reflect, ← revAt_le f.natTrailingDegree_le_natDegree, revAt_invol]
exact trailingCoeff_nonzero_iff_nonzero.mpr hf
· rw [← le_tsub_iff_left f.reverse_natDegree_le]
apply natTrailingDegree_le_of_ne_zero
have key := mt leadingCoeff_eq_zero.mp (mt reverse_eq_zero.mp hf)
rwa [leadingCoeff, coeff_reverse, revAt_le f.reverse_natDegree_le] at key
theorem reverse_natDegree (f : R[X]) : f.reverse.natDegree = f.natDegree - f.natTrailingDegree := by
rw [f.natDegree_eq_reverse_natDegree_add_natTrailingDegree, add_tsub_cancel_right]
theorem reverse_leadingCoeff (f : R[X]) : f.reverse.leadingCoeff = f.trailingCoeff := by
rw [leadingCoeff, reverse_natDegree, ← revAt_le f.natTrailingDegree_le_natDegree,
coeff_reverse, revAt_invol, trailingCoeff]
theorem natTrailingDegree_reverse (f : R[X]) : f.reverse.natTrailingDegree = 0 := by
rw [natTrailingDegree_eq_zero, reverse_eq_zero, coeff_zero_reverse, leadingCoeff_ne_zero]
exact eq_or_ne _ _
theorem reverse_trailingCoeff (f : R[X]) : f.reverse.trailingCoeff = f.leadingCoeff := by
rw [trailingCoeff, natTrailingDegree_reverse, coeff_zero_reverse]
theorem reverse_mul {f g : R[X]} (fg : f.leadingCoeff * g.leadingCoeff ≠ 0) :
reverse (f * g) = reverse f * reverse g := by
unfold reverse
rw [natDegree_mul' fg, reflect_mul f g rfl.le rfl.le]
@[simp]
theorem reverse_mul_of_domain {R : Type*} [Semiring R] [NoZeroDivisors R] (f g : R[X]) :
reverse (f * g) = reverse f * reverse g := by
by_cases f0 : f = 0
· simp only [f0, zero_mul, reverse_zero]
by_cases g0 : g = 0
· rw [g0, mul_zero, reverse_zero, mul_zero]
simp [reverse_mul, *]
theorem trailingCoeff_mul {R : Type*} [Semiring R] [NoZeroDivisors R] (p q : R[X]) :
(p * q).trailingCoeff = p.trailingCoeff * q.trailingCoeff := by
rw [← reverse_leadingCoeff, reverse_mul_of_domain, leadingCoeff_mul, reverse_leadingCoeff,
reverse_leadingCoeff]
@[simp]
theorem coeff_one_reverse (f : R[X]) : coeff (reverse f) 1 = nextCoeff f := by
rw [coeff_reverse, nextCoeff]
split_ifs with hf
· have : coeff f 1 = 0 := coeff_eq_zero_of_natDegree_lt (by simp only [hf, zero_lt_one])
simp [*, revAt]
· rw [revAt_le]
exact Nat.succ_le_iff.2 (pos_iff_ne_zero.2 hf)
@[simp] lemma reverse_C (t : R) :
reverse (C t) = C t := by
simp [reverse]
@[simp] lemma reverse_mul_X (p : R[X]) : reverse (p * X) = reverse p := by
nontriviality R
rcases eq_or_ne p 0 with rfl | hp
· simp
· simp [reverse, hp]
@[simp] lemma reverse_X_mul (p : R[X]) : reverse (X * p) = reverse p := by
rw [commute_X p, reverse_mul_X]
@[simp] lemma reverse_mul_X_pow (p : R[X]) (n : ℕ) : reverse (p * X ^ n) = reverse p := by
induction n with
| zero => simp
| succ n ih => rw [pow_succ, ← mul_assoc, reverse_mul_X, ih]
@[simp] lemma reverse_X_pow_mul (p : R[X]) (n : ℕ) : reverse (X ^ n * p) = reverse p := by
rw [commute_X_pow p, reverse_mul_X_pow]
@[simp] lemma reverse_add_C (p : R[X]) (t : R) :
reverse (p + C t) = reverse p + C t * X ^ p.natDegree := by
simp [reverse]
@[simp] lemma reverse_C_add (p : R[X]) (t : R) :
reverse (C t + p) = C t * X ^ p.natDegree + reverse p := by
rw [add_comm, reverse_add_C, add_comm]
section Eval₂
variable {S : Type*} [CommSemiring S]
theorem eval₂_reverse_mul_pow (i : R →+* S) (x : S) [Invertible x] (f : R[X]) :
eval₂ i (⅟ x) (reverse f) * x ^ f.natDegree = eval₂ i x f :=
eval₂_reflect_mul_pow i _ _ f le_rfl
@[simp]
theorem eval₂_reverse_eq_zero_iff (i : R →+* S) (x : S) [Invertible x] (f : R[X]) :
eval₂ i (⅟ x) (reverse f) = 0 ↔ eval₂ i x f = 0 :=
eval₂_reflect_eq_zero_iff i x _ _ le_rfl
end Eval₂
end Semiring
section Ring
variable {R : Type*} [Ring R]
@[simp]
theorem reflect_neg (f : R[X]) (N : ℕ) : reflect N (-f) = -reflect N f := by
rw [neg_eq_neg_one_mul, ← C_1, ← C_neg, reflect_C_mul, C_neg, C_1, ← neg_eq_neg_one_mul]
@[simp]
theorem reflect_sub (f g : R[X]) (N : ℕ) : reflect N (f - g) = reflect N f - reflect N g := by
rw [sub_eq_add_neg, sub_eq_add_neg, reflect_add, reflect_neg]
@[simp]
theorem reverse_neg (f : R[X]) : reverse (-f) = -reverse f := by
rw [reverse, reverse, reflect_neg, natDegree_neg]
end Ring
end Polynomial
| Mathlib/Algebra/Polynomial/Reverse.lean | 403 | 404 | |
/-
Copyright (c) 2019 Amelia Livingston. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Amelia Livingston, Bryan Gin-ge Chen
-/
import Mathlib.Logic.Relation
import Mathlib.Order.CompleteLattice.Basic
import Mathlib.Order.GaloisConnection.Defs
/-!
# Equivalence relations
This file defines the complete lattice of equivalence relations on a type, results about the
inductively defined equivalence closure of a binary relation, and the analogues of some isomorphism
theorems for quotients of arbitrary types.
## Implementation notes
The complete lattice instance for equivalence relations could have been defined by lifting
the Galois insertion of equivalence relations on α into binary relations on α, and then using
`CompleteLattice.copy` to define a complete lattice instance with more appropriate
definitional equalities (a similar example is `Filter.CompleteLattice` in
`Mathlib/Order/Filter/Basic.lean`). This does not save space, however, and is less clear.
Partitions are not defined as a separate structure here; users are encouraged to
reason about them using the existing `Setoid` and its infrastructure.
## Tags
setoid, equivalence, iseqv, relation, equivalence relation
-/
attribute [refl, simp] Setoid.refl
attribute [symm] Setoid.symm
attribute [trans] Setoid.trans
variable {α : Type*} {β : Type*}
namespace Setoid
attribute [ext] ext
/-- Two equivalence relations are equal iff their underlying binary operations are equal. -/
theorem eq_iff_rel_eq {r₁ r₂ : Setoid α} : r₁ = r₂ ↔ ⇑r₁ = ⇑r₂ :=
⟨fun h => h ▸ rfl, fun h => Setoid.ext fun _ _ => h ▸ Iff.rfl⟩
/-- Defining `≤` for equivalence relations. -/
instance : LE (Setoid α) :=
⟨fun r s => ∀ ⦃x y⦄, r x y → s x y⟩
theorem le_def {r s : Setoid α} : r ≤ s ↔ ∀ {x y}, r x y → s x y :=
Iff.rfl
@[refl]
theorem refl' (r : Setoid α) (x) : r x x := r.iseqv.refl x
@[symm]
theorem symm' (r : Setoid α) : ∀ {x y}, r x y → r y x := r.iseqv.symm
@[trans]
theorem trans' (r : Setoid α) : ∀ {x y z}, r x y → r y z → r x z := r.iseqv.trans
theorem comm' (s : Setoid α) {x y} : s x y ↔ s y x :=
⟨s.symm', s.symm'⟩
open scoped Function -- required for scoped `on` notation
/-- The kernel of a function is an equivalence relation. -/
def ker (f : α → β) : Setoid α :=
⟨(· = ·) on f, eq_equivalence.comap f⟩
/-- The kernel of the quotient map induced by an equivalence relation r equals r. -/
@[simp]
theorem ker_mk_eq (r : Setoid α) : ker (@Quotient.mk'' _ r) = r :=
ext fun _ _ => Quotient.eq
theorem ker_apply_mk_out {f : α → β} (a : α) : f (⟦a⟧ : Quotient (Setoid.ker f)).out = f a :=
@Quotient.mk_out _ (Setoid.ker f) a
theorem ker_def {f : α → β} {x y : α} : ker f x y ↔ f x = f y :=
Iff.rfl
/-- Given types `α`, `β`, the product of two equivalence relations `r` on `α` and `s` on `β`:
`(x₁, x₂), (y₁, y₂) ∈ α × β` are related by `r.prod s` iff `x₁` is related to `y₁`
by `r` and `x₂` is related to `y₂` by `s`. -/
protected def prod (r : Setoid α) (s : Setoid β) :
Setoid (α × β) where
r x y := r x.1 y.1 ∧ s x.2 y.2
iseqv :=
⟨fun x => ⟨r.refl' x.1, s.refl' x.2⟩, fun h => ⟨r.symm' h.1, s.symm' h.2⟩,
fun h₁ h₂ => ⟨r.trans' h₁.1 h₂.1, s.trans' h₁.2 h₂.2⟩⟩
lemma prod_apply {r : Setoid α} {s : Setoid β} {x₁ x₂ : α} {y₁ y₂ : β} :
@Setoid.r _ (r.prod s) (x₁, y₁) (x₂, y₂) ↔ (@Setoid.r _ r x₁ x₂ ∧ @Setoid.r _ s y₁ y₂) :=
Iff.rfl
lemma piSetoid_apply {ι : Sort*} {α : ι → Sort*} {r : ∀ i, Setoid (α i)} {x y : ∀ i, α i} :
@Setoid.r _ (@piSetoid _ _ r) x y ↔ ∀ i, @Setoid.r _ (r i) (x i) (y i) :=
Iff.rfl
/-- A bijection between the product of two quotients and the quotient by the product of the
equivalence relations. -/
@[simps]
def prodQuotientEquiv (r : Setoid α) (s : Setoid β) :
Quotient r × Quotient s ≃ Quotient (r.prod s) where
toFun | (x, y) => Quotient.map₂ Prod.mk (fun _ _ hx _ _ hy ↦ ⟨hx, hy⟩) x y
invFun q := Quotient.liftOn' q (fun xy ↦ (Quotient.mk'' xy.1, Quotient.mk'' xy.2))
fun x y hxy ↦ Prod.ext (by simpa using hxy.1) (by simpa using hxy.2)
left_inv q := by
rcases q with ⟨qa, qb⟩
exact Quotient.inductionOn₂' qa qb fun _ _ ↦ rfl
right_inv q := by
simp only
refine Quotient.inductionOn' q fun _ ↦ rfl
/-- A bijection between an indexed product of quotients and the quotient by the product of the
equivalence relations. -/
@[simps]
noncomputable def piQuotientEquiv {ι : Sort*} {α : ι → Sort*} (r : ∀ i, Setoid (α i)) :
(∀ i, Quotient (r i)) ≃ Quotient (@piSetoid _ _ r) where
toFun x := Quotient.mk'' fun i ↦ (x i).out
invFun q := Quotient.liftOn' q (fun x i ↦ Quotient.mk'' (x i)) fun x y hxy ↦ by
ext i
simpa using hxy i
left_inv q := by
ext i
simp
right_inv q := by
refine Quotient.inductionOn' q fun _ ↦ ?_
simp only [Quotient.liftOn'_mk'', Quotient.eq'']
intro i
change Setoid.r _ _
rw [← Quotient.eq'']
simp
/-- The infimum of two equivalence relations. -/
instance : Min (Setoid α) :=
⟨fun r s =>
⟨fun x y => r x y ∧ s x y,
⟨fun x => ⟨r.refl' x, s.refl' x⟩, fun h => ⟨r.symm' h.1, s.symm' h.2⟩, fun h1 h2 =>
⟨r.trans' h1.1 h2.1, s.trans' h1.2 h2.2⟩⟩⟩⟩
/-- The infimum of 2 equivalence relations r and s is the same relation as the infimum
of the underlying binary operations. -/
theorem inf_def {r s : Setoid α} : ⇑(r ⊓ s) = ⇑r ⊓ ⇑s :=
rfl
theorem inf_iff_and {r s : Setoid α} {x y} : (r ⊓ s) x y ↔ r x y ∧ s x y :=
Iff.rfl
/-- The infimum of a set of equivalence relations. -/
instance : InfSet (Setoid α) :=
⟨fun S =>
{ r := fun x y => ∀ r ∈ S, r x y
iseqv := ⟨fun x r _ => r.refl' x, fun h r hr => r.symm' <| h r hr, fun h1 h2 r hr =>
r.trans' (h1 r hr) <| h2 r hr⟩ }⟩
/-- The underlying binary operation of the infimum of a set of equivalence relations
is the infimum of the set's image under the map to the underlying binary operation. -/
theorem sInf_def {s : Set (Setoid α)} : ⇑(sInf s) = sInf ((⇑) '' s) := by
ext
simp only [sInf_image, iInf_apply, iInf_Prop_eq]
rfl
instance : PartialOrder (Setoid α) where
le := (· ≤ ·)
lt r s := r ≤ s ∧ ¬s ≤ r
le_refl _ _ _ := id
le_trans _ _ _ hr hs _ _ h := hs <| hr h
lt_iff_le_not_le _ _ := Iff.rfl
le_antisymm _ _ h1 h2 := Setoid.ext fun _ _ => ⟨fun h => h1 h, fun h => h2 h⟩
/-- The complete lattice of equivalence relations on a type, with bottom element `=`
and top element the trivial equivalence relation. -/
instance completeLattice : CompleteLattice (Setoid α) :=
{ (completeLatticeOfInf (Setoid α)) fun _ =>
⟨fun _ hr _ _ h => h _ hr, fun _ hr _ _ h _ hr' => hr hr' h⟩ with
inf := Min.min
inf_le_left := fun _ _ _ _ h => h.1
inf_le_right := fun _ _ _ _ h => h.2
le_inf := fun _ _ _ h1 h2 _ _ h => ⟨h1 h, h2 h⟩
top := ⟨fun _ _ => True, ⟨fun _ => trivial, fun h => h, fun h1 _ => h1⟩⟩
le_top := fun _ _ _ _ => trivial
bot := ⟨(· = ·), ⟨fun _ => rfl, fun h => h.symm, fun h1 h2 => h1.trans h2⟩⟩
bot_le := fun r x _ h => h ▸ r.2.1 x }
@[simp]
theorem top_def : ⇑(⊤ : Setoid α) = ⊤ :=
rfl
@[simp]
theorem bot_def : ⇑(⊥ : Setoid α) = (· = ·) :=
rfl
theorem eq_top_iff {s : Setoid α} : s = (⊤ : Setoid α) ↔ ∀ x y : α, s x y := by
rw [_root_.eq_top_iff, Setoid.le_def, Setoid.top_def]
simp only [Pi.top_apply, Prop.top_eq_true, forall_true_left]
lemma sInf_equiv {S : Set (Setoid α)} {x y : α} :
letI := sInf S
x ≈ y ↔ ∀ s ∈ S, s x y := Iff.rfl
lemma sInf_iff {S : Set (Setoid α)} {x y : α} :
sInf S x y ↔ ∀ s ∈ S, s x y := Iff.rfl
lemma quotient_mk_sInf_eq {S : Set (Setoid α)} {x y : α} :
Quotient.mk (sInf S) x = Quotient.mk (sInf S) y ↔ ∀ s ∈ S, s x y := by
simp [sInf_iff]
/-- The map induced between quotients by a setoid inequality. -/
def map_of_le {s t : Setoid α} (h : s ≤ t) : Quotient s → Quotient t :=
Quotient.map' id h
/-- The map from the quotient of the infimum of a set of setoids into the quotient
by an element of this set. -/
def map_sInf {S : Set (Setoid α)} {s : Setoid α} (h : s ∈ S) :
Quotient (sInf S) → Quotient s :=
Setoid.map_of_le fun _ _ a ↦ a s h
section EqvGen
open Relation
/-- The inductively defined equivalence closure of a binary relation r is the infimum
of the set of all equivalence relations containing r. -/
theorem eqvGen_eq (r : α → α → Prop) :
EqvGen.setoid r = sInf { s : Setoid α | ∀ ⦃x y⦄, r x y → s x y } :=
le_antisymm
(fun _ _ H =>
EqvGen.rec (fun _ _ h _ hs => hs h) (refl' _) (fun _ _ _ => symm' _)
(fun _ _ _ _ _ => trans' _) H)
(sInf_le fun _ _ h => EqvGen.rel _ _ h)
/-- The supremum of two equivalence relations r and s is the equivalence closure of the binary
relation `x is related to y by r or s`. -/
theorem sup_eq_eqvGen (r s : Setoid α) :
r ⊔ s = EqvGen.setoid fun x y => r x y ∨ s x y := by
rw [eqvGen_eq]
apply congr_arg sInf
simp only [le_def, or_imp, ← forall_and]
/-- The supremum of 2 equivalence relations r and s is the equivalence closure of the
supremum of the underlying binary operations. -/
theorem sup_def {r s : Setoid α} : r ⊔ s = EqvGen.setoid (⇑r ⊔ ⇑s) := by
rw [sup_eq_eqvGen]; rfl
/-- The supremum of a set S of equivalence relations is the equivalence closure of the binary
relation `there exists r ∈ S relating x and y`. -/
theorem sSup_eq_eqvGen (S : Set (Setoid α)) :
sSup S = EqvGen.setoid fun x y => ∃ r : Setoid α, r ∈ S ∧ r x y := by
rw [eqvGen_eq]
apply congr_arg sInf
simp only [upperBounds, le_def, and_imp, exists_imp]
ext
exact ⟨fun H x y r hr => H hr, fun H r hr x y => H r hr⟩
| /-- The supremum of a set of equivalence relations is the equivalence closure of the
supremum of the set's image under the map to the underlying binary operation. -/
theorem sSup_def {s : Set (Setoid α)} : sSup s = EqvGen.setoid (sSup ((⇑) '' s)) := by
rw [sSup_eq_eqvGen, sSup_image]
| Mathlib/Data/Setoid/Basic.lean | 257 | 260 |
/-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Yury Kudryashov, Kexing Ying
-/
import Mathlib.Topology.Semicontinuous
import Mathlib.MeasureTheory.Function.AEMeasurableSequence
import Mathlib.MeasureTheory.Order.Lattice
import Mathlib.Topology.Order.Lattice
import Mathlib.MeasureTheory.Constructions.BorelSpace.Basic
/-!
# Borel sigma algebras on spaces with orders
## Main statements
* `borel_eq_generateFrom_Ixx` (where Ixx is one of {Iio, Ioi, Iic, Ici, Ico, Ioc}):
The Borel sigma algebra of a linear order topology is generated by intervals of the given kind.
* `Dense.borel_eq_generateFrom_Ico_mem`, `Dense.borel_eq_generateFrom_Ioc_mem`:
The Borel sigma algebra of a dense linear order topology is generated by intervals of a given
kind, with endpoints from dense subsets.
* `ext_of_Ico`, `ext_of_Ioc`:
A locally finite Borel measure on a second countable conditionally complete linear order is
characterized by the measures of intervals of the given kind.
* `ext_of_Iic`, `ext_of_Ici`:
A finite Borel measure on a second countable linear order is characterized by the measures of
intervals of the given kind.
* `UpperSemicontinuous.measurable`, `LowerSemicontinuous.measurable`:
Semicontinuous functions are measurable.
* `Measurable.iSup`, `Measurable.iInf`, `Measurable.sSup`, `Measurable.sInf`:
Countable supremums and infimums of measurable functions to conditionally complete linear orders
are measurable.
* `Measurable.liminf`, `Measurable.limsup`:
Countable liminfs and limsups of measurable functions to conditionally complete linear orders
are measurable.
-/
open Set Filter MeasureTheory MeasurableSpace TopologicalSpace
open scoped Topology NNReal ENNReal MeasureTheory
universe u v w x y
variable {α β γ δ : Type*} {ι : Sort y} {s t u : Set α}
section OrderTopology
variable (α)
variable [TopologicalSpace α] [SecondCountableTopology α] [LinearOrder α] [OrderTopology α]
theorem borel_eq_generateFrom_Iio : borel α = .generateFrom (range Iio) := by
refine le_antisymm ?_ (generateFrom_le ?_)
· rw [borel_eq_generateFrom_of_subbasis (@OrderTopology.topology_eq_generate_intervals α _ _ _)]
letI : MeasurableSpace α := MeasurableSpace.generateFrom (range Iio)
have H : ∀ a : α, MeasurableSet (Iio a) := fun a => GenerateMeasurable.basic _ ⟨_, rfl⟩
refine generateFrom_le ?_
rintro _ ⟨a, rfl | rfl⟩
· rcases em (∃ b, a ⋖ b) with ⟨b, hb⟩ | hcovBy
· rw [hb.Ioi_eq, ← compl_Iio]
exact (H _).compl
· rcases isOpen_biUnion_countable (Ioi a) Ioi fun _ _ ↦ isOpen_Ioi with ⟨t, hat, htc, htU⟩
have : Ioi a = ⋃ b ∈ t, Ici b := by
refine Subset.antisymm ?_ <| iUnion₂_subset fun b hb ↦ Ici_subset_Ioi.2 (hat hb)
refine Subset.trans ?_ <| iUnion₂_mono fun _ _ ↦ Ioi_subset_Ici_self
simpa [CovBy, htU, subset_def] using hcovBy
simp only [this, ← compl_Iio]
exact .biUnion htc <| fun _ _ ↦ (H _).compl
· apply H
· rw [forall_mem_range]
intro a
exact GenerateMeasurable.basic _ isOpen_Iio
theorem borel_eq_generateFrom_Ioi : borel α = .generateFrom (range Ioi) :=
@borel_eq_generateFrom_Iio αᵒᵈ _ (by infer_instance : SecondCountableTopology α) _ _
theorem borel_eq_generateFrom_Iic :
borel α = MeasurableSpace.generateFrom (range Iic) := by
rw [borel_eq_generateFrom_Ioi]
refine le_antisymm ?_ ?_
· refine MeasurableSpace.generateFrom_le fun t ht => ?_
obtain ⟨u, rfl⟩ := ht
rw [← compl_Iic]
exact (MeasurableSpace.measurableSet_generateFrom (mem_range.mpr ⟨u, rfl⟩)).compl
· refine MeasurableSpace.generateFrom_le fun t ht => ?_
obtain ⟨u, rfl⟩ := ht
rw [← compl_Ioi]
exact (MeasurableSpace.measurableSet_generateFrom (mem_range.mpr ⟨u, rfl⟩)).compl
theorem borel_eq_generateFrom_Ici : borel α = MeasurableSpace.generateFrom (range Ici) :=
@borel_eq_generateFrom_Iic αᵒᵈ _ _ _ _
end OrderTopology
section Orders
variable [TopologicalSpace α] {mα : MeasurableSpace α} [OpensMeasurableSpace α]
variable {mδ : MeasurableSpace δ}
section Preorder
variable [Preorder α] [OrderClosedTopology α] {a b x : α} {μ : Measure α}
@[simp, measurability]
theorem measurableSet_Ici : MeasurableSet (Ici a) :=
isClosed_Ici.measurableSet
theorem nullMeasurableSet_Ici : NullMeasurableSet (Ici a) μ :=
measurableSet_Ici.nullMeasurableSet
@[simp, measurability]
theorem measurableSet_Iic : MeasurableSet (Iic a) :=
isClosed_Iic.measurableSet
theorem nullMeasurableSet_Iic : NullMeasurableSet (Iic a) μ :=
measurableSet_Iic.nullMeasurableSet
@[simp, measurability]
theorem measurableSet_Icc : MeasurableSet (Icc a b) :=
isClosed_Icc.measurableSet
theorem nullMeasurableSet_Icc : NullMeasurableSet (Icc a b) μ :=
measurableSet_Icc.nullMeasurableSet
instance nhdsWithin_Ici_isMeasurablyGenerated : (𝓝[Ici b] a).IsMeasurablyGenerated :=
measurableSet_Ici.nhdsWithin_isMeasurablyGenerated _
instance nhdsWithin_Iic_isMeasurablyGenerated : (𝓝[Iic b] a).IsMeasurablyGenerated :=
measurableSet_Iic.nhdsWithin_isMeasurablyGenerated _
instance nhdsWithin_Icc_isMeasurablyGenerated : IsMeasurablyGenerated (𝓝[Icc a b] x) := by
rw [← Ici_inter_Iic, nhdsWithin_inter]
infer_instance
instance atTop_isMeasurablyGenerated : (Filter.atTop : Filter α).IsMeasurablyGenerated :=
@Filter.iInf_isMeasurablyGenerated _ _ _ _ fun a =>
(measurableSet_Ici : MeasurableSet (Ici a)).principal_isMeasurablyGenerated
instance atBot_isMeasurablyGenerated : (Filter.atBot : Filter α).IsMeasurablyGenerated :=
@Filter.iInf_isMeasurablyGenerated _ _ _ _ fun a =>
(measurableSet_Iic : MeasurableSet (Iic a)).principal_isMeasurablyGenerated
instance [R1Space α] : IsMeasurablyGenerated (cocompact α) where
exists_measurable_subset := by
intro _ hs
obtain ⟨t, ht, hts⟩ := mem_cocompact.mp hs
exact ⟨(closure t)ᶜ, ht.closure.compl_mem_cocompact, isClosed_closure.measurableSet.compl,
(compl_subset_compl.2 subset_closure).trans hts⟩
end Preorder
section PartialOrder
variable [PartialOrder α] [OrderClosedTopology α] [SecondCountableTopology α] {a b : α}
@[measurability]
theorem measurableSet_le' : MeasurableSet { p : α × α | p.1 ≤ p.2 } :=
OrderClosedTopology.isClosed_le'.measurableSet
@[measurability]
theorem measurableSet_le {f g : δ → α} (hf : Measurable f) (hg : Measurable g) :
MeasurableSet { a | f a ≤ g a } :=
hf.prodMk hg measurableSet_le'
end PartialOrder
section LinearOrder
variable [LinearOrder α] [OrderClosedTopology α] {a b x : α} {μ : Measure α}
-- we open this locale only here to avoid issues with list being treated as intervals above
open Interval
@[simp, measurability]
theorem measurableSet_Iio : MeasurableSet (Iio a) :=
isOpen_Iio.measurableSet
theorem nullMeasurableSet_Iio : NullMeasurableSet (Iio a) μ :=
measurableSet_Iio.nullMeasurableSet
@[simp, measurability]
theorem measurableSet_Ioi : MeasurableSet (Ioi a) :=
isOpen_Ioi.measurableSet
theorem nullMeasurableSet_Ioi : NullMeasurableSet (Ioi a) μ :=
measurableSet_Ioi.nullMeasurableSet
@[simp, measurability]
theorem measurableSet_Ioo : MeasurableSet (Ioo a b) :=
isOpen_Ioo.measurableSet
theorem nullMeasurableSet_Ioo : NullMeasurableSet (Ioo a b) μ :=
measurableSet_Ioo.nullMeasurableSet
@[simp, measurability]
theorem measurableSet_Ioc : MeasurableSet (Ioc a b) :=
measurableSet_Ioi.inter measurableSet_Iic
theorem nullMeasurableSet_Ioc : NullMeasurableSet (Ioc a b) μ :=
measurableSet_Ioc.nullMeasurableSet
@[simp, measurability]
theorem measurableSet_Ico : MeasurableSet (Ico a b) :=
measurableSet_Ici.inter measurableSet_Iio
theorem nullMeasurableSet_Ico : NullMeasurableSet (Ico a b) μ :=
measurableSet_Ico.nullMeasurableSet
instance nhdsWithin_Ioi_isMeasurablyGenerated : (𝓝[Ioi b] a).IsMeasurablyGenerated :=
measurableSet_Ioi.nhdsWithin_isMeasurablyGenerated _
instance nhdsWithin_Iio_isMeasurablyGenerated : (𝓝[Iio b] a).IsMeasurablyGenerated :=
measurableSet_Iio.nhdsWithin_isMeasurablyGenerated _
instance nhdsWithin_uIcc_isMeasurablyGenerated : IsMeasurablyGenerated (𝓝[[[a, b]]] x) :=
nhdsWithin_Icc_isMeasurablyGenerated
@[measurability]
theorem measurableSet_lt' [SecondCountableTopology α] : MeasurableSet { p : α × α | p.1 < p.2 } :=
(isOpen_lt continuous_fst continuous_snd).measurableSet
@[measurability]
theorem measurableSet_lt [SecondCountableTopology α] {f g : δ → α} (hf : Measurable f)
(hg : Measurable g) : MeasurableSet { a | f a < g a } :=
hf.prodMk hg measurableSet_lt'
theorem nullMeasurableSet_lt [SecondCountableTopology α] {μ : Measure δ} {f g : δ → α}
(hf : AEMeasurable f μ) (hg : AEMeasurable g μ) : NullMeasurableSet { a | f a < g a } μ :=
(hf.prodMk hg).nullMeasurable measurableSet_lt'
theorem nullMeasurableSet_lt' [SecondCountableTopology α] {μ : Measure (α × α)} :
NullMeasurableSet { p : α × α | p.1 < p.2 } μ :=
measurableSet_lt'.nullMeasurableSet
theorem nullMeasurableSet_le [SecondCountableTopology α] {μ : Measure δ}
{f g : δ → α} (hf : AEMeasurable f μ) (hg : AEMeasurable g μ) :
NullMeasurableSet { a | f a ≤ g a } μ :=
(hf.prodMk hg).nullMeasurable measurableSet_le'
theorem Set.OrdConnected.measurableSet (h : OrdConnected s) : MeasurableSet s := by
let u := ⋃ (x ∈ s) (y ∈ s), Ioo x y
have huopen : IsOpen u := isOpen_biUnion fun _ _ => isOpen_biUnion fun _ _ => isOpen_Ioo
have humeas : MeasurableSet u := huopen.measurableSet
have hfinite : (s \ u).Finite := s.finite_diff_iUnion_Ioo
have : u ⊆ s := iUnion₂_subset fun x hx => iUnion₂_subset fun y hy =>
Ioo_subset_Icc_self.trans (h.out hx hy)
rw [← union_diff_cancel this]
exact humeas.union hfinite.measurableSet
theorem IsPreconnected.measurableSet (h : IsPreconnected s) : MeasurableSet s :=
h.ordConnected.measurableSet
theorem generateFrom_Ico_mem_le_borel {α : Type*} [TopologicalSpace α] [LinearOrder α]
[OrderClosedTopology α] (s t : Set α) :
MeasurableSpace.generateFrom { S | ∃ l ∈ s, ∃ u ∈ t, l < u ∧ Ico l u = S }
≤ borel α := by
apply generateFrom_le
borelize α
rintro _ ⟨a, -, b, -, -, rfl⟩
exact measurableSet_Ico
theorem Dense.borel_eq_generateFrom_Ico_mem_aux {α : Type*} [TopologicalSpace α] [LinearOrder α]
[OrderTopology α] [SecondCountableTopology α] {s : Set α} (hd : Dense s)
(hbot : ∀ x, IsBot x → x ∈ s) (hIoo : ∀ x y : α, x < y → Ioo x y = ∅ → y ∈ s) :
borel α = .generateFrom { S : Set α | ∃ l ∈ s, ∃ u ∈ s, l < u ∧ Ico l u = S } := by
set S : Set (Set α) := { S | ∃ l ∈ s, ∃ u ∈ s, l < u ∧ Ico l u = S }
refine le_antisymm ?_ (generateFrom_Ico_mem_le_borel _ _)
letI : MeasurableSpace α := generateFrom S
rw [borel_eq_generateFrom_Iio]
refine generateFrom_le (forall_mem_range.2 fun a => ?_)
rcases hd.exists_countable_dense_subset_bot_top with ⟨t, hts, hc, htd, htb, -⟩
by_cases ha : ∀ b < a, (Ioo b a).Nonempty
· convert_to MeasurableSet (⋃ (l ∈ t) (u ∈ t) (_ : l < u) (_ : u ≤ a), Ico l u)
· ext y
simp only [mem_iUnion, mem_Iio, mem_Ico]
constructor
· intro hy
rcases htd.exists_le' (fun b hb => htb _ hb (hbot b hb)) y with ⟨l, hlt, hly⟩
rcases htd.exists_mem_open isOpen_Ioo (ha y hy) with ⟨u, hut, hyu, hua⟩
exact ⟨l, hlt, u, hut, hly.trans_lt hyu, hua.le, hly, hyu⟩
· rintro ⟨l, -, u, -, -, hua, -, hyu⟩
exact hyu.trans_le hua
· refine MeasurableSet.biUnion hc fun a ha => MeasurableSet.biUnion hc fun b hb => ?_
refine MeasurableSet.iUnion fun hab => MeasurableSet.iUnion fun _ => ?_
exact .basic _ ⟨a, hts ha, b, hts hb, hab, mem_singleton _⟩
· simp only [not_forall, not_nonempty_iff_eq_empty] at ha
replace ha : a ∈ s := hIoo ha.choose a ha.choose_spec.fst ha.choose_spec.snd
convert_to MeasurableSet (⋃ (l ∈ t) (_ : l < a), Ico l a)
· symm
simp only [← Ici_inter_Iio, ← iUnion_inter, inter_eq_right, subset_def, mem_iUnion,
mem_Ici, mem_Iio]
intro x hx
rcases htd.exists_le' (fun b hb => htb _ hb (hbot b hb)) x with ⟨z, hzt, hzx⟩
exact ⟨z, hzt, hzx.trans_lt hx, hzx⟩
· refine .biUnion hc fun x hx => MeasurableSet.iUnion fun hlt => ?_
exact .basic _ ⟨x, hts hx, a, ha, hlt, mem_singleton _⟩
theorem Dense.borel_eq_generateFrom_Ico_mem {α : Type*} [TopologicalSpace α] [LinearOrder α]
[OrderTopology α] [SecondCountableTopology α] [DenselyOrdered α] [NoMinOrder α] {s : Set α}
(hd : Dense s) :
borel α = .generateFrom { S : Set α | ∃ l ∈ s, ∃ u ∈ s, l < u ∧ Ico l u = S } :=
hd.borel_eq_generateFrom_Ico_mem_aux (by simp) fun _ _ hxy H =>
((nonempty_Ioo.2 hxy).ne_empty H).elim
theorem borel_eq_generateFrom_Ico (α : Type*) [TopologicalSpace α] [SecondCountableTopology α]
[LinearOrder α] [OrderTopology α] :
borel α = .generateFrom { S : Set α | ∃ (l u : α), l < u ∧ Ico l u = S } := by
simpa only [exists_prop, mem_univ, true_and] using
(@dense_univ α _).borel_eq_generateFrom_Ico_mem_aux (fun _ _ => mem_univ _) fun _ _ _ _ =>
mem_univ _
theorem Dense.borel_eq_generateFrom_Ioc_mem_aux {α : Type*} [TopologicalSpace α] [LinearOrder α]
[OrderTopology α] [SecondCountableTopology α] {s : Set α} (hd : Dense s)
(hbot : ∀ x, IsTop x → x ∈ s) (hIoo : ∀ x y : α, x < y → Ioo x y = ∅ → x ∈ s) :
borel α = .generateFrom { S : Set α | ∃ l ∈ s, ∃ u ∈ s, l < u ∧ Ioc l u = S } := by
convert hd.orderDual.borel_eq_generateFrom_Ico_mem_aux hbot fun x y hlt he => hIoo y x hlt _
using 2
· ext s
constructor <;> rintro ⟨l, hl, u, hu, hlt, rfl⟩
exacts [⟨u, hu, l, hl, hlt, Ico_toDual⟩, ⟨u, hu, l, hl, hlt, Ioc_toDual⟩]
· erw [Ioo_toDual]
exact he
theorem Dense.borel_eq_generateFrom_Ioc_mem {α : Type*} [TopologicalSpace α] [LinearOrder α]
[OrderTopology α] [SecondCountableTopology α] [DenselyOrdered α] [NoMaxOrder α] {s : Set α}
(hd : Dense s) :
borel α = .generateFrom { S : Set α | ∃ l ∈ s, ∃ u ∈ s, l < u ∧ Ioc l u = S } :=
hd.borel_eq_generateFrom_Ioc_mem_aux (by simp) fun _ _ hxy H =>
((nonempty_Ioo.2 hxy).ne_empty H).elim
theorem borel_eq_generateFrom_Ioc (α : Type*) [TopologicalSpace α] [SecondCountableTopology α]
[LinearOrder α] [OrderTopology α] :
borel α = .generateFrom { S : Set α | ∃ l u, l < u ∧ Ioc l u = S } := by
simpa only [exists_prop, mem_univ, true_and] using
(@dense_univ α _).borel_eq_generateFrom_Ioc_mem_aux (fun _ _ => mem_univ _) fun _ _ _ _ =>
mem_univ _
namespace MeasureTheory.Measure
/-- Two finite measures on a Borel space are equal if they agree on all closed-open intervals. If
`α` is a conditionally complete linear order with no top element,
`MeasureTheory.Measure.ext_of_Ico` is an extensionality lemma with weaker assumptions on `μ` and
`ν`. -/
theorem ext_of_Ico_finite {α : Type*} [TopologicalSpace α] {m : MeasurableSpace α}
[SecondCountableTopology α] [LinearOrder α] [OrderTopology α] [BorelSpace α] (μ ν : Measure α)
[IsFiniteMeasure μ] (hμν : μ univ = ν univ) (h : ∀ ⦃a b⦄, a < b → μ (Ico a b) = ν (Ico a b)) :
μ = ν := by
refine
ext_of_generate_finite _ (BorelSpace.measurable_eq.trans (borel_eq_generateFrom_Ico α))
(isPiSystem_Ico (id : α → α) id) ?_ hμν
rintro - ⟨a, b, hlt, rfl⟩
exact h hlt
/-- Two finite measures on a Borel space are equal if they agree on all open-closed intervals. If
`α` is a conditionally complete linear order with no top element,
`MeasureTheory.Measure.ext_of_Ioc` is an extensionality lemma with weaker assumptions on `μ` and
`ν`. -/
theorem ext_of_Ioc_finite {α : Type*} [TopologicalSpace α] {m : MeasurableSpace α}
[SecondCountableTopology α] [LinearOrder α] [OrderTopology α] [BorelSpace α] (μ ν : Measure α)
[IsFiniteMeasure μ] (hμν : μ univ = ν univ) (h : ∀ ⦃a b⦄, a < b → μ (Ioc a b) = ν (Ioc a b)) :
μ = ν := by
refine @ext_of_Ico_finite αᵒᵈ _ _ _ _ _ ‹_› μ ν _ hμν fun a b hab => ?_
erw [Ico_toDual (α := α)]
exact h hab
/-- Two measures which are finite on closed-open intervals are equal if they agree on all
closed-open intervals. -/
theorem ext_of_Ico' {α : Type*} [TopologicalSpace α] {m : MeasurableSpace α}
[SecondCountableTopology α] [LinearOrder α] [OrderTopology α] [BorelSpace α] [NoMaxOrder α]
(μ ν : Measure α) (hμ : ∀ ⦃a b⦄, a < b → μ (Ico a b) ≠ ∞)
(h : ∀ ⦃a b⦄, a < b → μ (Ico a b) = ν (Ico a b)) : μ = ν := by
rcases exists_countable_dense_bot_top α with ⟨s, hsc, hsd, hsb, _⟩
have : (⋃ (l ∈ s) (u ∈ s) (_ : l < u), {Ico l u} : Set (Set α)).Countable :=
hsc.biUnion fun l _ => hsc.biUnion fun u _ => countable_iUnion fun _ => countable_singleton _
simp only [← setOf_eq_eq_singleton, ← setOf_exists] at this
refine
Measure.ext_of_generateFrom_of_cover_subset
(BorelSpace.measurable_eq.trans (borel_eq_generateFrom_Ico α)) (isPiSystem_Ico id id) ?_ this
?_ ?_ ?_
· rintro _ ⟨l, -, u, -, h, rfl⟩
exact ⟨l, u, h, rfl⟩
· refine sUnion_eq_univ_iff.2 fun x => ?_
rcases hsd.exists_le' hsb x with ⟨l, hls, hlx⟩
rcases hsd.exists_gt x with ⟨u, hus, hxu⟩
exact ⟨_, ⟨l, hls, u, hus, hlx.trans_lt hxu, rfl⟩, hlx, hxu⟩
· rintro _ ⟨l, -, u, -, hlt, rfl⟩
exact hμ hlt
· rintro _ ⟨l, u, hlt, rfl⟩
exact h hlt
/-- Two measures which are finite on closed-open intervals are equal if they agree on all
open-closed intervals. -/
theorem ext_of_Ioc' {α : Type*} [TopologicalSpace α] {m : MeasurableSpace α}
[SecondCountableTopology α] [LinearOrder α] [OrderTopology α] [BorelSpace α] [NoMinOrder α]
(μ ν : Measure α) (hμ : ∀ ⦃a b⦄, a < b → μ (Ioc a b) ≠ ∞)
(h : ∀ ⦃a b⦄, a < b → μ (Ioc a b) = ν (Ioc a b)) : μ = ν := by
refine @ext_of_Ico' αᵒᵈ _ _ _ _ _ ‹_› _ μ ν ?_ ?_ <;> intro a b hab <;> erw [Ico_toDual (α := α)]
exacts [hμ hab, h hab]
/-- Two measures which are finite on closed-open intervals are equal if they agree on all
closed-open intervals. -/
theorem ext_of_Ico {α : Type*} [TopologicalSpace α] {_m : MeasurableSpace α}
[SecondCountableTopology α] [ConditionallyCompleteLinearOrder α] [OrderTopology α]
[BorelSpace α] [NoMaxOrder α] (μ ν : Measure α) [IsLocallyFiniteMeasure μ]
(h : ∀ ⦃a b⦄, a < b → μ (Ico a b) = ν (Ico a b)) : μ = ν :=
μ.ext_of_Ico' ν (fun _ _ _ => measure_Ico_lt_top.ne) h
/-- Two measures which are finite on closed-open intervals are equal if they agree on all
open-closed intervals. -/
theorem ext_of_Ioc {α : Type*} [TopologicalSpace α] {_m : MeasurableSpace α}
[SecondCountableTopology α] [ConditionallyCompleteLinearOrder α] [OrderTopology α]
[BorelSpace α] [NoMinOrder α] (μ ν : Measure α) [IsLocallyFiniteMeasure μ]
(h : ∀ ⦃a b⦄, a < b → μ (Ioc a b) = ν (Ioc a b)) : μ = ν :=
μ.ext_of_Ioc' ν (fun _ _ _ => measure_Ioc_lt_top.ne) h
/-- Two finite measures on a Borel space are equal if they agree on all left-infinite right-closed
intervals. -/
theorem ext_of_Iic {α : Type*} [TopologicalSpace α] {m : MeasurableSpace α}
[SecondCountableTopology α] [LinearOrder α] [OrderTopology α] [BorelSpace α] (μ ν : Measure α)
[IsFiniteMeasure μ] (h : ∀ a, μ (Iic a) = ν (Iic a)) : μ = ν := by
refine ext_of_Ioc_finite μ ν ?_ fun a b hlt => ?_
· rcases exists_countable_dense_bot_top α with ⟨s, hsc, hsd, -, hst⟩
have : DirectedOn (· ≤ ·) s := directedOn_iff_directed.2 (Subtype.mono_coe _).directed_le
simp only [← biSup_measure_Iic hsc (hsd.exists_ge' hst) this, h]
rw [← Iic_diff_Iic, measure_diff (Iic_subset_Iic.2 hlt.le) nullMeasurableSet_Iic,
measure_diff (Iic_subset_Iic.2 hlt.le) nullMeasurableSet_Iic, h a, h b]
· rw [← h a]
exact measure_ne_top μ _
· exact measure_ne_top μ _
/-- Two finite measures on a Borel space are equal if they agree on all left-closed right-infinite
intervals. -/
theorem ext_of_Ici {α : Type*} [TopologicalSpace α] {_ : MeasurableSpace α}
[SecondCountableTopology α] [LinearOrder α] [OrderTopology α] [BorelSpace α] (μ ν : Measure α)
[IsFiniteMeasure μ] (h : ∀ a, μ (Ici a) = ν (Ici a)) : μ = ν :=
@ext_of_Iic αᵒᵈ _ _ _ _ _ ‹_› _ _ _ h
end MeasureTheory.Measure
@[measurability]
theorem measurableSet_uIcc : MeasurableSet (uIcc a b) :=
measurableSet_Icc
@[measurability]
theorem measurableSet_uIoc : MeasurableSet (uIoc a b) :=
measurableSet_Ioc
variable [SecondCountableTopology α]
@[measurability, fun_prop]
theorem Measurable.max {f g : δ → α} (hf : Measurable f) (hg : Measurable g) :
Measurable fun a => max (f a) (g a) := by
simpa only [max_def'] using hf.piecewise (measurableSet_le hg hf) hg
@[measurability, fun_prop]
nonrec theorem AEMeasurable.max {f g : δ → α} {μ : Measure δ} (hf : AEMeasurable f μ)
(hg : AEMeasurable g μ) : AEMeasurable (fun a => max (f a) (g a)) μ :=
⟨fun a => max (hf.mk f a) (hg.mk g a), hf.measurable_mk.max hg.measurable_mk,
EventuallyEq.comp₂ hf.ae_eq_mk _ hg.ae_eq_mk⟩
@[measurability, fun_prop]
theorem Measurable.min {f g : δ → α} (hf : Measurable f) (hg : Measurable g) :
Measurable fun a => min (f a) (g a) := by
simpa only [min_def] using hf.piecewise (measurableSet_le hf hg) hg
@[measurability, fun_prop]
nonrec theorem AEMeasurable.min {f g : δ → α} {μ : Measure δ} (hf : AEMeasurable f μ)
(hg : AEMeasurable g μ) : AEMeasurable (fun a => min (f a) (g a)) μ :=
⟨fun a => min (hf.mk f a) (hg.mk g a), hf.measurable_mk.min hg.measurable_mk,
EventuallyEq.comp₂ hf.ae_eq_mk _ hg.ae_eq_mk⟩
end LinearOrder
section Lattice
variable [TopologicalSpace γ] {mγ : MeasurableSpace γ} [BorelSpace γ]
instance (priority := 100) ContinuousSup.measurableSup [Max γ] [ContinuousSup γ] :
MeasurableSup γ where
measurable_const_sup _ := (continuous_const.sup continuous_id).measurable
measurable_sup_const _ := (continuous_id.sup continuous_const).measurable
instance (priority := 100) ContinuousSup.measurableSup₂ [SecondCountableTopology γ] [Max γ]
[ContinuousSup γ] : MeasurableSup₂ γ :=
⟨continuous_sup.measurable⟩
instance (priority := 100) ContinuousInf.measurableInf [Min γ] [ContinuousInf γ] :
MeasurableInf γ where
measurable_const_inf _ := (continuous_const.inf continuous_id).measurable
measurable_inf_const _ := (continuous_id.inf continuous_const).measurable
instance (priority := 100) ContinuousInf.measurableInf₂ [SecondCountableTopology γ] [Min γ]
[ContinuousInf γ] : MeasurableInf₂ γ :=
⟨continuous_inf.measurable⟩
end Lattice
end Orders
section BorelSpace
variable [TopologicalSpace α] {mα : MeasurableSpace α} [BorelSpace α]
variable [TopologicalSpace β] {mβ : MeasurableSpace β} [BorelSpace β]
variable {mδ : MeasurableSpace δ}
section LinearOrder
variable [LinearOrder α] [OrderTopology α] [SecondCountableTopology α]
theorem measurable_of_Iio {f : δ → α} (hf : ∀ x, MeasurableSet (f ⁻¹' Iio x)) : Measurable f := by
convert measurable_generateFrom (α := δ) _
· exact BorelSpace.measurable_eq.trans (borel_eq_generateFrom_Iio _)
· rintro _ ⟨x, rfl⟩; exact hf x
theorem UpperSemicontinuous.measurable [TopologicalSpace δ] [OpensMeasurableSpace δ] {f : δ → α}
(hf : UpperSemicontinuous f) : Measurable f :=
measurable_of_Iio fun y => (hf.isOpen_preimage y).measurableSet
theorem measurable_of_Ioi {f : δ → α} (hf : ∀ x, MeasurableSet (f ⁻¹' Ioi x)) : Measurable f := by
convert measurable_generateFrom (α := δ) _
· exact BorelSpace.measurable_eq.trans (borel_eq_generateFrom_Ioi _)
· rintro _ ⟨x, rfl⟩; exact hf x
theorem LowerSemicontinuous.measurable [TopologicalSpace δ] [OpensMeasurableSpace δ] {f : δ → α}
(hf : LowerSemicontinuous f) : Measurable f :=
measurable_of_Ioi fun y => (hf.isOpen_preimage y).measurableSet
theorem measurable_of_Iic {f : δ → α} (hf : ∀ x, MeasurableSet (f ⁻¹' Iic x)) : Measurable f := by
apply measurable_of_Ioi
simp_rw [← compl_Iic, preimage_compl, MeasurableSet.compl_iff]
assumption
theorem measurable_of_Ici {f : δ → α} (hf : ∀ x, MeasurableSet (f ⁻¹' Ici x)) : Measurable f := by
apply measurable_of_Iio
simp_rw [← compl_Ici, preimage_compl, MeasurableSet.compl_iff]
assumption
/-- If a function is the least upper bound of countably many measurable functions,
then it is measurable. -/
theorem Measurable.isLUB {ι} [Countable ι] {f : ι → δ → α} {g : δ → α} (hf : ∀ i, Measurable (f i))
(hg : ∀ b, IsLUB { a | ∃ i, f i b = a } (g b)) : Measurable g := by
change ∀ b, IsLUB (range fun i => f i b) (g b) at hg
rw [‹BorelSpace α›.measurable_eq, borel_eq_generateFrom_Ioi α]
apply measurable_generateFrom
rintro _ ⟨a, rfl⟩
simp_rw [Set.preimage, mem_Ioi, lt_isLUB_iff (hg _), exists_range_iff, setOf_exists]
exact MeasurableSet.iUnion fun i => hf i (isOpen_lt' _).measurableSet
/-- If a function is the least upper bound of countably many measurable functions on a measurable
set `s`, and coincides with a measurable function outside of `s`, then it is measurable. -/
theorem Measurable.isLUB_of_mem {ι} [Countable ι] {f : ι → δ → α} {g g' : δ → α}
(hf : ∀ i, Measurable (f i))
{s : Set δ} (hs : MeasurableSet s) (hg : ∀ b ∈ s, IsLUB { a | ∃ i, f i b = a } (g b))
(hg' : EqOn g g' sᶜ) (g'_meas : Measurable g') : Measurable g := by
classical
rcases isEmpty_or_nonempty ι with hι|⟨⟨i⟩⟩
· rcases eq_empty_or_nonempty s with rfl|⟨x, hx⟩
· convert g'_meas
rwa [compl_empty, eqOn_univ] at hg'
· have A : ∀ b ∈ s, IsBot (g b) := by simpa using hg
have B : ∀ b ∈ s, g b = g x := by
intro b hb
apply le_antisymm (A b hb (g x)) (A x hx (g b))
have : g = s.piecewise (fun _y ↦ g x) g' := by
ext b
by_cases hb : b ∈ s
· simp [hb, B]
· simp [hb, hg' hb]
rw [this]
exact Measurable.piecewise hs measurable_const g'_meas
· have : Nonempty ι := ⟨i⟩
let f' : ι → δ → α := fun i ↦ s.piecewise (f i) g'
suffices ∀ b, IsLUB { a | ∃ i, f' i b = a } (g b) from
Measurable.isLUB (fun i ↦ Measurable.piecewise hs (hf i) g'_meas) this
intro b
by_cases hb : b ∈ s
· have A : ∀ i, f' i b = f i b := fun i ↦ by simp [f', hb]
simpa [A] using hg b hb
· have A : ∀ i, f' i b = g' b := fun i ↦ by simp [f', hb]
simp [A, hg' hb, isLUB_singleton]
theorem AEMeasurable.isLUB {ι} {μ : Measure δ} [Countable ι] {f : ι → δ → α} {g : δ → α}
(hf : ∀ i, AEMeasurable (f i) μ) (hg : ∀ᵐ b ∂μ, IsLUB { a | ∃ i, f i b = a } (g b)) :
AEMeasurable g μ := by
classical
nontriviality α
haveI hα : Nonempty α := inferInstance
rcases isEmpty_or_nonempty ι with hι | hι
· simp only [IsEmpty.exists_iff, setOf_false, isLUB_empty_iff] at hg
exact aemeasurable_const' (hg.mono fun a ha => hg.mono fun b hb => (ha _).antisymm (hb _))
let p : δ → (ι → α) → Prop := fun x f' => IsLUB { a | ∃ i, f' i = a } (g x)
let g_seq := (aeSeqSet hf p).piecewise g fun _ => hα.some
have hg_seq : ∀ b, IsLUB { a | ∃ i, aeSeq hf p i b = a } (g_seq b) := by
intro b
simp only [g_seq, aeSeq, Set.piecewise]
split_ifs with h
· have h_set_eq : { a : α | ∃ i : ι, (hf i).mk (f i) b = a } =
{ a : α | ∃ i : ι, f i b = a } := by
ext x
simp_rw [Set.mem_setOf_eq, aeSeq.mk_eq_fun_of_mem_aeSeqSet hf h]
rw [h_set_eq]
exact aeSeq.fun_prop_of_mem_aeSeqSet hf h
· exact IsGreatest.isLUB ⟨(@exists_const (hα.some = hα.some) ι _).2 rfl, fun x ⟨i, hi⟩ => hi.ge⟩
refine ⟨g_seq, Measurable.isLUB (aeSeq.measurable hf p) hg_seq, ?_⟩
exact
(ite_ae_eq_of_measure_compl_zero g (fun _ => hα.some) (aeSeqSet hf p)
(aeSeq.measure_compl_aeSeqSet_eq_zero hf hg)).symm
/-- If a function is the greatest lower bound of countably many measurable functions,
then it is measurable. -/
theorem Measurable.isGLB {ι} [Countable ι] {f : ι → δ → α} {g : δ → α} (hf : ∀ i, Measurable (f i))
(hg : ∀ b, IsGLB { a | ∃ i, f i b = a } (g b)) : Measurable g :=
Measurable.isLUB (α := αᵒᵈ) hf hg
/-- If a function is the greatest lower bound of countably many measurable functions on a measurable
set `s`, and coincides with a measurable function outside of `s`, then it is measurable. -/
theorem Measurable.isGLB_of_mem {ι} [Countable ι] {f : ι → δ → α} {g g' : δ → α}
(hf : ∀ i, Measurable (f i))
{s : Set δ} (hs : MeasurableSet s) (hg : ∀ b ∈ s, IsGLB { a | ∃ i, f i b = a } (g b))
(hg' : EqOn g g' sᶜ) (g'_meas : Measurable g') : Measurable g :=
Measurable.isLUB_of_mem (α := αᵒᵈ) hf hs hg hg' g'_meas
theorem AEMeasurable.isGLB {ι} {μ : Measure δ} [Countable ι] {f : ι → δ → α} {g : δ → α}
(hf : ∀ i, AEMeasurable (f i) μ) (hg : ∀ᵐ b ∂μ, IsGLB { a | ∃ i, f i b = a } (g b)) :
AEMeasurable g μ :=
AEMeasurable.isLUB (α := αᵒᵈ) hf hg
protected theorem Monotone.measurable [LinearOrder β] [OrderClosedTopology β] {f : β → α}
(hf : Monotone f) : Measurable f :=
suffices h : ∀ x, OrdConnected (f ⁻¹' Ioi x) from measurable_of_Ioi fun x => (h x).measurableSet
fun _ => ordConnected_def.mpr fun _a ha _ _ _c hc => lt_of_lt_of_le ha (hf hc.1)
theorem aemeasurable_restrict_of_monotoneOn [LinearOrder β] [OrderClosedTopology β] {μ : Measure β}
{s : Set β} (hs : MeasurableSet s) {f : β → α} (hf : MonotoneOn f s) :
AEMeasurable f (μ.restrict s) :=
have : Monotone (f ∘ (↑) : s → α) := fun ⟨x, hx⟩ ⟨y, hy⟩ => fun (hxy : x ≤ y) => hf hx hy hxy
aemeasurable_restrict_of_measurable_subtype hs this.measurable
protected theorem Antitone.measurable [LinearOrder β] [OrderClosedTopology β] {f : β → α}
(hf : Antitone f) : Measurable f :=
@Monotone.measurable αᵒᵈ β _ _ ‹_› _ _ _ _ _ ‹_› _ _ _ hf
theorem aemeasurable_restrict_of_antitoneOn [LinearOrder β] [OrderClosedTopology β] {μ : Measure β}
{s : Set β} (hs : MeasurableSet s) {f : β → α} (hf : AntitoneOn f s) :
AEMeasurable f (μ.restrict s) :=
@aemeasurable_restrict_of_monotoneOn αᵒᵈ β _ _ ‹_› _ _ _ _ _ ‹_› _ _ _ _ hs _ hf
theorem MeasurableSet.of_mem_nhdsGT_aux {s : Set α} (h : ∀ x ∈ s, s ∈ 𝓝[>] x)
(h' : ∀ x ∈ s, ∃ y, x < y) : MeasurableSet s := by
choose! M hM using h'
suffices H : (s \ interior s).Countable by
have : s = interior s ∪ s \ interior s := by rw [union_diff_cancel interior_subset]
rw [this]
exact isOpen_interior.measurableSet.union H.measurableSet
have A : ∀ x ∈ s, ∃ y ∈ Ioi x, Ioo x y ⊆ s := fun x hx =>
(mem_nhdsGT_iff_exists_Ioo_subset' (hM x hx)).1 (h x hx)
choose! y hy h'y using A
have B : Set.PairwiseDisjoint (s \ interior s) fun x => Ioo x (y x) := by
intro x hx x' hx' hxx'
rcases lt_or_gt_of_ne hxx' with (h' | h')
· refine disjoint_left.2 fun z hz h'z => ?_
have : x' ∈ interior s :=
mem_interior.2 ⟨Ioo x (y x), h'y _ hx.1, isOpen_Ioo, ⟨h', h'z.1.trans hz.2⟩⟩
exact False.elim (hx'.2 this)
· refine disjoint_left.2 fun z hz h'z => ?_
have : x ∈ interior s :=
mem_interior.2 ⟨Ioo x' (y x'), h'y _ hx'.1, isOpen_Ioo, ⟨h', hz.1.trans h'z.2⟩⟩
exact False.elim (hx.2 this)
exact B.countable_of_Ioo fun x hx => hy x hx.1
@[deprecated (since := "2024-12-22")]
alias measurableSet_of_mem_nhdsWithin_Ioi_aux := MeasurableSet.of_mem_nhdsGT_aux
/-- If a set is a right-neighborhood of all of its points, then it is measurable. -/
theorem MeasurableSet.of_mem_nhdsGT {s : Set α} (h : ∀ x ∈ s, s ∈ 𝓝[>] x) : MeasurableSet s := by
by_cases H : ∃ x ∈ s, IsTop x
· rcases H with ⟨x₀, x₀s, h₀⟩
have : s = { x₀ } ∪ s \ { x₀ } := by rw [union_diff_cancel (singleton_subset_iff.2 x₀s)]
rw [this]
refine (measurableSet_singleton _).union ?_
have A : ∀ x ∈ s \ { x₀ }, x < x₀ := fun x hx => lt_of_le_of_ne (h₀ _) (by simpa using hx.2)
refine .of_mem_nhdsGT_aux (fun x hx => ?_) fun x hx => ⟨x₀, A x hx⟩
obtain ⟨u, hu, us⟩ : ∃ (u : α), u ∈ Ioi x ∧ Ioo x u ⊆ s :=
(mem_nhdsGT_iff_exists_Ioo_subset' (A x hx)).1 (h x hx.1)
refine (mem_nhdsGT_iff_exists_Ioo_subset' (A x hx)).2 ⟨u, hu, fun y hy => ⟨us hy, ?_⟩⟩
exact ne_of_lt (hy.2.trans_le (h₀ _))
· refine .of_mem_nhdsGT_aux h ?_
simp only [IsTop] at H
push_neg at H
exact H
@[deprecated (since := "2024-12-22")]
alias measurableSet_of_mem_nhdsWithin_Ioi := MeasurableSet.of_mem_nhdsGT
lemma measurableSet_bddAbove_range {ι} [Countable ι] {f : ι → δ → α} (hf : ∀ i, Measurable (f i)) :
MeasurableSet {b | BddAbove (range (fun i ↦ f i b))} := by
rcases isEmpty_or_nonempty α with hα|hα
· have : ∀ b, range (fun i ↦ f i b) = ∅ := fun b ↦ eq_empty_of_isEmpty _
simp [this]
have A : ∀ (i : ι) (c : α), MeasurableSet {x | f i x ≤ c} := by
intro i c
exact measurableSet_le (hf i) measurable_const
have B : ∀ (c : α), MeasurableSet {x | ∀ i, f i x ≤ c} := by
intro c
rw [setOf_forall]
exact MeasurableSet.iInter (fun i ↦ A i c)
obtain ⟨u, hu⟩ : ∃ (u : ℕ → α), Tendsto u atTop atTop := exists_seq_tendsto (atTop : Filter α)
have : {b | BddAbove (range (fun i ↦ f i b))} = {x | ∃ n, ∀ i, f i x ≤ u n} := by
apply Subset.antisymm
· rintro x ⟨c, hc⟩
obtain ⟨n, hn⟩ : ∃ n, c ≤ u n := (tendsto_atTop.1 hu c).exists
exact ⟨n, fun i ↦ (hc ((mem_range_self i))).trans hn⟩
· rintro x ⟨n, hn⟩
refine ⟨u n, ?_⟩
rintro - ⟨i, rfl⟩
exact hn i
rw [this, setOf_exists]
exact MeasurableSet.iUnion (fun n ↦ B (u n))
lemma measurableSet_bddBelow_range {ι} [Countable ι] {f : ι → δ → α} (hf : ∀ i, Measurable (f i)) :
MeasurableSet {b | BddBelow (range (fun i ↦ f i b))} :=
measurableSet_bddAbove_range (α := αᵒᵈ) hf
end LinearOrder
section ConditionallyCompleteLattice
@[measurability, fun_prop]
theorem Measurable.iSup_Prop {α} {mα : MeasurableSpace α} [ConditionallyCompleteLattice α]
(p : Prop) {f : δ → α} (hf : Measurable f) : Measurable fun b => ⨆ _ : p, f b := by
classical
simp_rw [ciSup_eq_ite]
split_ifs with h
· exact hf
· exact measurable_const
@[measurability, fun_prop]
theorem Measurable.iInf_Prop {α} {mα : MeasurableSpace α} [ConditionallyCompleteLattice α]
(p : Prop) {f : δ → α} (hf : Measurable f) : Measurable fun b => ⨅ _ : p, f b := by
classical
simp_rw [ciInf_eq_ite]
split_ifs with h
· exact hf
· exact measurable_const
end ConditionallyCompleteLattice
section ConditionallyCompleteLinearOrder
variable [ConditionallyCompleteLinearOrder α] [OrderTopology α] [SecondCountableTopology α]
@[measurability, fun_prop]
protected theorem Measurable.iSup {ι} [Countable ι] {f : ι → δ → α} (hf : ∀ i, Measurable (f i)) :
Measurable (fun b ↦ ⨆ i, f i b) := by
rcases isEmpty_or_nonempty ι with hι|hι
· simp [iSup_of_empty']
have A : MeasurableSet {b | BddAbove (range (fun i ↦ f i b))} :=
measurableSet_bddAbove_range hf
have : Measurable (fun (_b : δ) ↦ sSup (∅ : Set α)) := measurable_const
apply Measurable.isLUB_of_mem hf A _ _ this
· rintro b ⟨c, hc⟩
apply isLUB_ciSup
refine ⟨c, ?_⟩
rintro d ⟨i, rfl⟩
exact hc (mem_range_self i)
· intro b hb
apply csSup_of_not_bddAbove
exact hb
-- TODO: Why does this error?
-- /-- Compositional version of `Measurable.iSup` for use by `fun_prop`. -/
-- @[fun_prop]
-- protected lemma Measurable.iSup'' {_ : MeasurableSpace γ} {ι : Sort*} [Countable ι]
-- {f : ι → γ → δ → α} {h : γ → δ} (hf : ∀ i, Measurable ↿(f i)) (hh : Measurable h) :
-- Measurable fun a ↦ (⨆ i, f i a) (h a) := by
-- simp_rw [iSup_apply]
-- exact .iSup fun i ↦ by fun_prop
@[measurability, fun_prop]
protected theorem AEMeasurable.iSup {ι} {μ : Measure δ} [Countable ι] {f : ι → δ → α}
(hf : ∀ i, AEMeasurable (f i) μ) : AEMeasurable (fun b => ⨆ i, f i b) μ := by
refine ⟨fun b ↦ ⨆ i, (hf i).mk (f i) b, .iSup (fun i ↦ (hf i).measurable_mk), ?_⟩
filter_upwards [ae_all_iff.2 (fun i ↦ (hf i).ae_eq_mk)] with b hb using by simp [hb]
@[measurability, fun_prop]
protected theorem Measurable.iInf {ι} [Countable ι] {f : ι → δ → α} (hf : ∀ i, Measurable (f i)) :
Measurable fun b => ⨅ i, f i b :=
.iSup (α := αᵒᵈ) hf
@[measurability, fun_prop]
protected theorem AEMeasurable.iInf {ι} {μ : Measure δ} [Countable ι] {f : ι → δ → α}
(hf : ∀ i, AEMeasurable (f i) μ) : AEMeasurable (fun b => ⨅ i, f i b) μ :=
.iSup (α := αᵒᵈ) hf
protected theorem Measurable.sSup {ι} {f : ι → δ → α} {s : Set ι} (hs : s.Countable)
(hf : ∀ i ∈ s, Measurable (f i)) :
Measurable fun x => sSup ((fun i => f i x) '' s) := by
simp_rw [image_eq_range]
have : Countable s := hs.to_subtype
exact .iSup fun i ↦ hf i i.2
protected theorem Measurable.sInf {ι} {f : ι → δ → α} {s : Set ι} (hs : s.Countable)
(hf : ∀ i ∈ s, Measurable (f i)) :
Measurable fun x => sInf ((fun i => f i x) '' s) :=
.sSup (α := αᵒᵈ) hs hf
theorem Measurable.biSup {ι} (s : Set ι) {f : ι → δ → α} (hs : s.Countable)
(hf : ∀ i ∈ s, Measurable (f i)) : Measurable fun b => ⨆ i ∈ s, f i b := by
haveI : Encodable s := hs.toEncodable
by_cases H : ∀ i, i ∈ s
· have : ∀ b, ⨆ i ∈ s, f i b = ⨆ (i : s), f i b :=
fun b ↦ cbiSup_eq_of_forall (f := fun i ↦ f i b) H
simp only [this]
exact .iSup (fun (i : s) ↦ hf i i.2)
· have : ∀ b, ⨆ i ∈ s, f i b = (⨆ (i : s), f i b) ⊔ sSup ∅ :=
fun b ↦ cbiSup_eq_of_not_forall (f := fun i ↦ f i b) H
simp only [this]
apply Measurable.sup _ measurable_const
exact .iSup (fun (i : s) ↦ hf i i.2)
theorem AEMeasurable.biSup {ι} {μ : Measure δ} (s : Set ι) {f : ι → δ → α} (hs : s.Countable)
(hf : ∀ i ∈ s, AEMeasurable (f i) μ) : AEMeasurable (fun b => ⨆ i ∈ s, f i b) μ := by
classical
let g : ι → δ → α := fun i ↦ if hi : i ∈ s then (hf i hi).mk (f i) else fun _b ↦ sSup ∅
have : ∀ i ∈ s, Measurable (g i) := by
intro i hi
simpa [g, hi] using (hf i hi).measurable_mk
refine ⟨fun b ↦ ⨆ (i) (_ : i ∈ s), g i b, .biSup s hs this, ?_⟩
have : ∀ i ∈ s, ∀ᵐ b ∂μ, f i b = g i b :=
fun i hi ↦ by simpa [g, hi] using (hf i hi).ae_eq_mk
filter_upwards [(ae_ball_iff hs).2 this] with b hb
exact iSup_congr fun i => iSup_congr (hb i)
theorem Measurable.biInf {ι} (s : Set ι) {f : ι → δ → α} (hs : s.Countable)
(hf : ∀ i ∈ s, Measurable (f i)) : Measurable fun b => ⨅ i ∈ s, f i b :=
.biSup (α := αᵒᵈ) s hs hf
theorem AEMeasurable.biInf {ι} {μ : Measure δ} (s : Set ι) {f : ι → δ → α} (hs : s.Countable)
(hf : ∀ i ∈ s, AEMeasurable (f i) μ) : AEMeasurable (fun b => ⨅ i ∈ s, f i b) μ :=
.biSup (α := αᵒᵈ) s hs hf
/-- `liminf` over a general filter is measurable. See `Measurable.liminf` for the version over `ℕ`.
-/
theorem Measurable.liminf' {ι ι'} {f : ι → δ → α} {v : Filter ι} (hf : ∀ i, Measurable (f i))
{p : ι' → Prop} {s : ι' → Set ι} (hv : v.HasCountableBasis p s) (hs : ∀ j, (s j).Countable) :
Measurable fun x => liminf (f · x) v := by
classical
/- We would like to write the liminf as `⨆ (j : Subtype p), ⨅ (i : s j), f i x`, as the
measurability would follow from the measurability of infs and sups. Unfortunately, this is not
true in general conditionally complete linear orders because of issues with empty sets or sets
which are not bounded above or below. A slightly more complicated expression for the liminf,
valid in general, is given in `Filter.HasBasis.liminf_eq_ite`. This expression, built from
`if ... then ... else` and infs and sups, can be readily checked to be measurable. -/
have : Countable (Subtype p) := hv.countable
rcases isEmpty_or_nonempty (Subtype p) with hp|hp
· simp [hv.liminf_eq_sSup_iUnion_iInter]
by_cases H : ∃ (j : Subtype p), s j = ∅
· simp_rw [hv.liminf_eq_ite, if_pos H, measurable_const]
simp_rw [hv.liminf_eq_ite, if_neg H]
have : ∀ i, Countable (s i) := fun i ↦ countable_coe_iff.2 (hs i)
let m : Subtype p → Set δ := fun j ↦ {x | BddBelow (range (fun (i : s j) ↦ f i x))}
have m_meas : ∀ j, MeasurableSet (m j) :=
fun j ↦ measurableSet_bddBelow_range (fun (i : s j) ↦ hf i)
have mc_meas : MeasurableSet {x | ∀ (j : Subtype p), x ∉ m j} := by
rw [setOf_forall]
exact MeasurableSet.iInter (fun j ↦ (m_meas j).compl)
refine measurable_const.piecewise mc_meas <| .iSup fun j ↦ ?_
let reparam : δ → Subtype p → Subtype p := fun x ↦ liminf_reparam (fun i ↦ f i x) s p
let F0 : Subtype p → δ → α := fun j x ↦ ⨅ (i : s j), f i x
have F0_meas : ∀ j, Measurable (F0 j) := fun j ↦ .iInf (fun (i : s j) ↦ hf i)
set F1 : δ → α := fun x ↦ F0 (reparam x j) x with hF1
change Measurable F1
let g : ℕ → Subtype p := Classical.choose (exists_surjective_nat (Subtype p))
have Z : ∀ x, ∃ n, x ∈ m (g n) ∨ ∀ k, x ∉ m k := by
intro x
by_cases H : ∃ k, x ∈ m k
· rcases H with ⟨k, hk⟩
rcases Classical.choose_spec (exists_surjective_nat (Subtype p)) k with ⟨n, rfl⟩
exact ⟨n, Or.inl hk⟩
· push_neg at H
exact ⟨0, Or.inr H⟩
have : F1 = fun x ↦ if x ∈ m j then F0 j x else F0 (g (Nat.find (Z x))) x := by
ext x
have A : reparam x j = if x ∈ m j then j else g (Nat.find (Z x)) := rfl
split_ifs with hjx
· have : reparam x j = j := by rw [A, if_pos hjx]
simp only [hF1, this]
· have : reparam x j = g (Nat.find (Z x)) := by rw [A, if_neg hjx]
simp only [hF1, this]
rw [this]
apply Measurable.piecewise (m_meas j) (F0_meas j)
apply Measurable.find (fun n ↦ F0_meas (g n)) (fun n ↦ ?_)
exact (m_meas (g n)).union mc_meas
/-- `limsup` over a general filter is measurable. See `Measurable.limsup` for the version over `ℕ`.
-/
theorem Measurable.limsup' {ι ι'} {f : ι → δ → α} {u : Filter ι} (hf : ∀ i, Measurable (f i))
{p : ι' → Prop} {s : ι' → Set ι} (hu : u.HasCountableBasis p s) (hs : ∀ i, (s i).Countable) :
Measurable fun x => limsup (fun i => f i x) u :=
.liminf' (α := αᵒᵈ) hf hu hs
/-- `liminf` over `ℕ` is measurable. See `Measurable.liminf'` for a version with a general filter.
-/
@[measurability, fun_prop]
theorem Measurable.liminf {f : ℕ → δ → α} (hf : ∀ i, Measurable (f i)) :
Measurable fun x => liminf (fun i => f i x) atTop :=
.liminf' hf atTop_countable_basis fun _ => to_countable _
/-- `limsup` over `ℕ` is measurable. See `Measurable.limsup'` for a version with a general filter.
-/
@[measurability, fun_prop]
theorem Measurable.limsup {f : ℕ → δ → α} (hf : ∀ i, Measurable (f i)) :
Measurable fun x => limsup (fun i => f i x) atTop :=
.limsup' hf atTop_countable_basis fun _ => to_countable _
end ConditionallyCompleteLinearOrder
/-- Convert a `Homeomorph` to a `MeasurableEquiv`. -/
def Homemorph.toMeasurableEquiv (h : α ≃ₜ β) : α ≃ᵐ β where
toEquiv := h.toEquiv
measurable_toFun := h.continuous_toFun.measurable
measurable_invFun := h.continuous_invFun.measurable
protected theorem IsFiniteMeasureOnCompacts.map (μ : Measure α) [IsFiniteMeasureOnCompacts μ]
(f : α ≃ₜ β) : IsFiniteMeasureOnCompacts (Measure.map f μ) := by
refine ⟨fun K hK ↦ ?_⟩
rw [← Homeomorph.toMeasurableEquiv_coe, MeasurableEquiv.map_apply]
exact IsCompact.measure_lt_top (f.isCompact_preimage.2 hK)
end BorelSpace
section ENNReal
/-- One can cut out `ℝ≥0∞` into the sets `{0}`, `Ico (t^n) (t^(n+1))` for `n : ℤ` and `{∞}`. This
gives a way to compute the measure of a set in terms of sets on which a given function `f` does not
fluctuate by more than `t`. -/
theorem measure_eq_measure_preimage_add_measure_tsum_Ico_zpow {α : Type*} {mα : MeasurableSpace α}
(μ : Measure α) {f : α → ℝ≥0∞} (hf : Measurable f) {s : Set α} (hs : MeasurableSet s)
{t : ℝ≥0} (ht : 1 < t) :
μ s =
μ (s ∩ f ⁻¹' {0}) + μ (s ∩ f ⁻¹' {∞}) +
∑' n : ℤ, μ (s ∩ f ⁻¹' Ico ((t : ℝ≥0∞) ^ n) ((t : ℝ≥0∞) ^ (n + 1))) := by
have A : μ s = μ (s ∩ f ⁻¹' {0}) + μ (s ∩ f ⁻¹' Ioi 0) := by
rw [← measure_union]
· rw [← inter_union_distrib_left, ← preimage_union, singleton_union, Ioi_insert,
← _root_.bot_eq_zero, Ici_bot, preimage_univ, inter_univ]
· exact disjoint_singleton_left.mpr not_mem_Ioi_self
|>.preimage f |>.inter_right' s |>.inter_left' s
· exact hs.inter (hf measurableSet_Ioi)
have B : μ (s ∩ f ⁻¹' Ioi 0) = μ (s ∩ f ⁻¹' {∞}) + μ (s ∩ f ⁻¹' Ioo 0 ∞) := by
rw [← measure_union]
· rw [← inter_union_distrib_left]
congr
ext x
simp only [mem_singleton_iff, mem_union, mem_Ioo, mem_Ioi, mem_preimage]
obtain (H | H) : f x = ∞ ∨ f x < ∞ := eq_or_lt_of_le le_top
· simp only [H, eq_self_iff_true, or_false, ENNReal.zero_lt_top, not_top_lt, and_false]
· simp only [H, H.ne, and_true, false_or]
· refine disjoint_left.2 fun x hx h'x => ?_
have : f x < ∞ := h'x.2.2
exact lt_irrefl _ (this.trans_le (le_of_eq hx.2.symm))
· exact hs.inter (hf measurableSet_Ioo)
have C : μ (s ∩ f ⁻¹' Ioo 0 ∞) =
∑' n : ℤ, μ (s ∩ f ⁻¹' Ico ((t : ℝ≥0∞) ^ n) ((t : ℝ≥0∞) ^ (n + 1))) := by
rw [← measure_iUnion,
ENNReal.Ioo_zero_top_eq_iUnion_Ico_zpow (ENNReal.one_lt_coe_iff.2 ht) ENNReal.coe_ne_top,
preimage_iUnion, inter_iUnion]
· intro i j hij
wlog h : i < j generalizing i j
· exact (this hij.symm (hij.lt_or_lt.resolve_left h)).symm
refine disjoint_left.2 fun x hx h'x => lt_irrefl (f x) ?_
calc
f x < (t : ℝ≥0∞) ^ (i + 1) := hx.2.2
| _ ≤ (t : ℝ≥0∞) ^ j := ENNReal.zpow_le_of_le (ENNReal.one_le_coe_iff.2 ht.le) h
_ ≤ f x := h'x.2.1
· intro n
exact hs.inter (hf measurableSet_Ico)
rw [A, B, C, add_assoc]
| Mathlib/MeasureTheory/Constructions/BorelSpace/Order.lean | 974 | 978 |
/-
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.Solvable
import Mathlib.Algebra.Lie.Quotient
import Mathlib.Algebra.Lie.Normalizer
import Mathlib.Algebra.Order.Archimedean.Basic
import Mathlib.LinearAlgebra.Eigenspace.Basic
import Mathlib.RingTheory.Artinian.Module
import Mathlib.RingTheory.Nilpotent.Lemmas
/-!
# Nilpotent Lie algebras
Like groups, Lie algebras admit a natural concept of nilpotency. More generally, any Lie module
carries a natural concept of nilpotency. We define these here via the lower central series.
## Main definitions
* `LieModule.lowerCentralSeries`
* `LieModule.IsNilpotent`
* `LieModule.maxNilpotentSubmodule`
* `LieAlgebra.maxNilpotentIdeal`
## Tags
lie algebra, lower central series, nilpotent, max nilpotent ideal
-/
universe u v w w₁ w₂
section NilpotentModules
variable {R : Type u} {L : Type v} {M : Type w}
variable [CommRing R] [LieRing L] [LieAlgebra R L] [AddCommGroup M] [Module R M]
variable [LieRingModule L M]
variable (k : ℕ) (N : LieSubmodule R L M)
namespace LieSubmodule
/-- A generalisation of the lower central series. The zeroth term is a specified Lie submodule of
a Lie module. In the case when we specify the top ideal `⊤` of the Lie algebra, regarded as a Lie
module over itself, we get the usual lower central series of a Lie algebra.
It can be more convenient to work with this generalisation when considering the lower central series
of a Lie submodule, regarded as a Lie module in its own right, since it provides a type-theoretic
expression of the fact that the terms of the Lie submodule's lower central series are also Lie
submodules of the enclosing Lie module.
See also `LieSubmodule.lowerCentralSeries_eq_lcs_comap` and
`LieSubmodule.lowerCentralSeries_map_eq_lcs` below, as well as `LieSubmodule.ucs`. -/
def lcs : LieSubmodule R L M → LieSubmodule R L M :=
(fun N => ⁅(⊤ : LieIdeal R L), N⁆)^[k]
@[simp]
theorem lcs_zero (N : LieSubmodule R L M) : N.lcs 0 = N :=
rfl
@[simp]
theorem lcs_succ : N.lcs (k + 1) = ⁅(⊤ : LieIdeal R L), N.lcs k⁆ :=
Function.iterate_succ_apply' (fun N' => ⁅⊤, N'⁆) k N
@[simp]
lemma lcs_sup {N₁ N₂ : LieSubmodule R L M} {k : ℕ} :
(N₁ ⊔ N₂).lcs k = N₁.lcs k ⊔ N₂.lcs k := by
induction k with
| zero => simp
| succ k ih => simp only [LieSubmodule.lcs_succ, ih, LieSubmodule.lie_sup]
end LieSubmodule
namespace LieModule
variable (R L M)
/-- The lower central series of Lie submodules of a Lie module. -/
def lowerCentralSeries : LieSubmodule R L M :=
(⊤ : LieSubmodule R L M).lcs k
@[simp]
theorem lowerCentralSeries_zero : lowerCentralSeries R L M 0 = ⊤ :=
rfl
@[simp]
theorem lowerCentralSeries_succ :
lowerCentralSeries R L M (k + 1) = ⁅(⊤ : LieIdeal R L), lowerCentralSeries R L M k⁆ :=
(⊤ : LieSubmodule R L M).lcs_succ k
private theorem coe_lowerCentralSeries_eq_int_aux (R₁ R₂ L M : Type*)
[CommRing R₁] [CommRing R₂] [AddCommGroup M]
[LieRing L] [LieAlgebra R₁ L] [LieAlgebra R₂ L] [Module R₁ M] [Module R₂ M] [LieRingModule L M]
[LieModule R₁ L M] (k : ℕ) :
let I := lowerCentralSeries R₂ L M k; let S : Set M := {⁅a, b⁆ | (a : L) (b ∈ I)}
(Submodule.span R₁ S : Set M) ≤ (Submodule.span R₂ S : Set M) := by
intro I S x hx
simp only [SetLike.mem_coe] at hx ⊢
induction hx using Submodule.closure_induction with
| zero => exact Submodule.zero_mem _
| add y z hy₁ hz₁ hy₂ hz₂ => exact Submodule.add_mem _ hy₂ hz₂
| smul_mem c y hy =>
obtain ⟨a, b, hb, rfl⟩ := hy
rw [← smul_lie]
exact Submodule.subset_span ⟨c • a, b, hb, rfl⟩
theorem coe_lowerCentralSeries_eq_int [LieModule R L M] (k : ℕ) :
(lowerCentralSeries R L M k : Set M) = (lowerCentralSeries ℤ L M k : Set M) := by
rw [← LieSubmodule.coe_toSubmodule, ← LieSubmodule.coe_toSubmodule]
induction k with
| zero => rfl
| succ k ih =>
rw [lowerCentralSeries_succ, lowerCentralSeries_succ]
rw [LieSubmodule.lieIdeal_oper_eq_linear_span', LieSubmodule.lieIdeal_oper_eq_linear_span']
rw [Set.ext_iff] at ih
simp only [SetLike.mem_coe, LieSubmodule.mem_toSubmodule] at ih
simp only [LieSubmodule.mem_top, ih, true_and]
apply le_antisymm
· exact coe_lowerCentralSeries_eq_int_aux _ _ L M k
· simp only [← ih]
exact coe_lowerCentralSeries_eq_int_aux _ _ L M k
end LieModule
namespace LieSubmodule
open LieModule
theorem lcs_le_self : N.lcs k ≤ N := by
induction k with
| zero => simp
| succ k ih =>
simp only [lcs_succ]
exact (LieSubmodule.mono_lie_right ⊤ ih).trans (N.lie_le_right ⊤)
variable [LieModule R L M]
theorem lowerCentralSeries_eq_lcs_comap : lowerCentralSeries R L N k = (N.lcs k).comap N.incl := by
induction k with
| zero => simp
| succ k ih =>
simp only [lcs_succ, lowerCentralSeries_succ] at ih ⊢
have : N.lcs k ≤ N.incl.range := by
rw [N.range_incl]
apply lcs_le_self
rw [ih, LieSubmodule.comap_bracket_eq _ N.incl _ N.ker_incl this]
theorem lowerCentralSeries_map_eq_lcs : (lowerCentralSeries R L N k).map N.incl = N.lcs k := by
rw [lowerCentralSeries_eq_lcs_comap, LieSubmodule.map_comap_incl, inf_eq_right]
apply lcs_le_self
theorem lowerCentralSeries_eq_bot_iff_lcs_eq_bot:
lowerCentralSeries R L N k = ⊥ ↔ lcs k N = ⊥ := by
refine ⟨fun h ↦ ?_, fun h ↦ ?_⟩
· rw [← N.lowerCentralSeries_map_eq_lcs, ← LieModuleHom.le_ker_iff_map]
simpa
· rw [N.lowerCentralSeries_eq_lcs_comap, comap_incl_eq_bot]
simp [h]
end LieSubmodule
namespace LieModule
variable {M₂ : Type w₁} [AddCommGroup M₂] [Module R M₂] [LieRingModule L M₂] [LieModule R L M₂]
variable (R L M)
theorem antitone_lowerCentralSeries : Antitone <| lowerCentralSeries R L M := by
intro l k
induction k generalizing l with
| zero => exact fun h ↦ (Nat.le_zero.mp h).symm ▸ le_rfl
| succ k ih =>
intro h
rcases Nat.of_le_succ h with (hk | hk)
· rw [lowerCentralSeries_succ]
exact (LieSubmodule.mono_lie_right ⊤ (ih hk)).trans (LieSubmodule.lie_le_right _ _)
· exact hk.symm ▸ le_rfl
theorem eventually_iInf_lowerCentralSeries_eq [IsArtinian R M] :
∀ᶠ l in Filter.atTop, ⨅ k, lowerCentralSeries R L M k = lowerCentralSeries R L M l := by
have h_wf : WellFoundedGT (LieSubmodule R L M)ᵒᵈ :=
LieSubmodule.wellFoundedLT_of_isArtinian R L M
obtain ⟨n, hn : ∀ m, n ≤ m → lowerCentralSeries R L M n = lowerCentralSeries R L M m⟩ :=
h_wf.monotone_chain_condition ⟨_, antitone_lowerCentralSeries R L M⟩
refine Filter.eventually_atTop.mpr ⟨n, fun l hl ↦ le_antisymm (iInf_le _ _) (le_iInf fun m ↦ ?_)⟩
rcases le_or_lt l m with h | h
· rw [← hn _ hl, ← hn _ (hl.trans h)]
· exact antitone_lowerCentralSeries R L M (le_of_lt h)
theorem trivial_iff_lower_central_eq_bot : IsTrivial L M ↔ lowerCentralSeries R L M 1 = ⊥ := by
constructor <;> intro h
· simp
· rw [LieSubmodule.eq_bot_iff] at h; apply IsTrivial.mk; intro x m; apply h
apply LieSubmodule.subset_lieSpan
simp only [LieSubmodule.top_coe, Subtype.exists, LieSubmodule.mem_top, exists_prop, true_and,
Set.mem_setOf]
exact ⟨x, m, rfl⟩
section
variable [LieModule R L M]
theorem iterate_toEnd_mem_lowerCentralSeries (x : L) (m : M) (k : ℕ) :
(toEnd R L M x)^[k] m ∈ lowerCentralSeries R L M k := by
induction k with
| zero => simp only [Function.iterate_zero, lowerCentralSeries_zero, LieSubmodule.mem_top]
| succ k ih =>
simp only [lowerCentralSeries_succ, Function.comp_apply, Function.iterate_succ',
toEnd_apply_apply]
exact LieSubmodule.lie_mem_lie (LieSubmodule.mem_top x) ih
theorem iterate_toEnd_mem_lowerCentralSeries₂ (x y : L) (m : M) (k : ℕ) :
(toEnd R L M x ∘ₗ toEnd R L M y)^[k] m ∈
lowerCentralSeries R L M (2 * k) := by
induction k with
| zero => simp
| succ k ih =>
have hk : 2 * k.succ = (2 * k + 1) + 1 := rfl
simp only [lowerCentralSeries_succ, Function.comp_apply, Function.iterate_succ', hk,
toEnd_apply_apply, LinearMap.coe_comp, toEnd_apply_apply]
refine LieSubmodule.lie_mem_lie (LieSubmodule.mem_top x) ?_
exact LieSubmodule.lie_mem_lie (LieSubmodule.mem_top y) ih
variable {R L M}
theorem map_lowerCentralSeries_le (f : M →ₗ⁅R,L⁆ M₂) :
(lowerCentralSeries R L M k).map f ≤ lowerCentralSeries R L M₂ k := by
induction k with
| zero => simp only [lowerCentralSeries_zero, le_top]
| succ k ih =>
simp only [LieModule.lowerCentralSeries_succ, LieSubmodule.map_bracket_eq]
exact LieSubmodule.mono_lie_right ⊤ ih
lemma map_lowerCentralSeries_eq {f : M →ₗ⁅R,L⁆ M₂} (hf : Function.Surjective f) :
(lowerCentralSeries R L M k).map f = lowerCentralSeries R L M₂ k := by
apply le_antisymm (map_lowerCentralSeries_le k f)
induction k with
| zero =>
rwa [lowerCentralSeries_zero, lowerCentralSeries_zero, top_le_iff, f.map_top,
f.range_eq_top]
| succ =>
simp only [lowerCentralSeries_succ, LieSubmodule.map_bracket_eq]
apply LieSubmodule.mono_lie_right
assumption
end
open LieAlgebra
theorem derivedSeries_le_lowerCentralSeries (k : ℕ) :
derivedSeries R L k ≤ lowerCentralSeries R L L k := by
induction k with
| zero => rw [derivedSeries_def, derivedSeriesOfIdeal_zero, lowerCentralSeries_zero]
| succ k h =>
have h' : derivedSeries R L k ≤ ⊤ := by simp only [le_top]
rw [derivedSeries_def, derivedSeriesOfIdeal_succ, lowerCentralSeries_succ]
exact LieSubmodule.mono_lie h' h
/-- A Lie module is nilpotent if its lower central series reaches 0 (in a finite number of
steps). -/
@[mk_iff isNilpotent_iff_int]
class IsNilpotent : Prop where
mk_int ::
nilpotent_int : ∃ k, lowerCentralSeries ℤ L M k = ⊥
section
variable [LieModule R L M]
/-- See also `LieModule.isNilpotent_iff_exists_ucs_eq_top`. -/
lemma isNilpotent_iff :
IsNilpotent L M ↔ ∃ k, lowerCentralSeries R L M k = ⊥ := by
simp [isNilpotent_iff_int, SetLike.ext'_iff, coe_lowerCentralSeries_eq_int R L M]
lemma IsNilpotent.nilpotent [IsNilpotent L M] : ∃ k, lowerCentralSeries R L M k = ⊥ :=
(isNilpotent_iff R L M).mp ‹_›
variable {R L} in
lemma IsNilpotent.mk {k : ℕ} (h : lowerCentralSeries R L M k = ⊥) : IsNilpotent L M :=
(isNilpotent_iff R L M).mpr ⟨k, h⟩
@[deprecated IsNilpotent.nilpotent (since := "2025-01-07")]
theorem exists_lowerCentralSeries_eq_bot_of_isNilpotent [IsNilpotent L M] :
∃ k, lowerCentralSeries R L M k = ⊥ :=
IsNilpotent.nilpotent R L M
@[simp] lemma iInf_lowerCentralSeries_eq_bot_of_isNilpotent [IsNilpotent L M] :
⨅ k, lowerCentralSeries R L M k = ⊥ := by
obtain ⟨k, hk⟩ := IsNilpotent.nilpotent R L M
rw [eq_bot_iff, ← hk]
exact iInf_le _ _
end
section
variable {R L M}
variable [LieModule R L M]
theorem _root_.LieSubmodule.isNilpotent_iff_exists_lcs_eq_bot (N : LieSubmodule R L M) :
LieModule.IsNilpotent L N ↔ ∃ k, N.lcs k = ⊥ := by
rw [isNilpotent_iff R L N]
refine exists_congr fun k => ?_
rw [N.lowerCentralSeries_eq_lcs_comap k, LieSubmodule.comap_incl_eq_bot,
inf_eq_right.mpr (N.lcs_le_self k)]
variable (R L M)
instance (priority := 100) trivialIsNilpotent [IsTrivial L M] : IsNilpotent L M :=
⟨by use 1; simp⟩
instance instIsNilpotentSup (M₁ M₂ : LieSubmodule R L M) [IsNilpotent L M₁] [IsNilpotent L M₂] :
IsNilpotent L (M₁ ⊔ M₂ : LieSubmodule R L M) := by
obtain ⟨k, hk⟩ := IsNilpotent.nilpotent R L M₁
obtain ⟨l, hl⟩ := IsNilpotent.nilpotent R L M₂
let lcs_eq_bot {m n} (N : LieSubmodule R L M) (le : m ≤ n) (hn : lowerCentralSeries R L N m = ⊥) :
lowerCentralSeries R L N n = ⊥ := by
simpa [hn] using antitone_lowerCentralSeries R L N le
have h₁ : lowerCentralSeries R L M₁ (k ⊔ l) = ⊥ := lcs_eq_bot M₁ (Nat.le_max_left k l) hk
have h₂ : lowerCentralSeries R L M₂ (k ⊔ l) = ⊥ := lcs_eq_bot M₂ (Nat.le_max_right k l) hl
refine (isNilpotent_iff R L (M₁ + M₂)).mpr ⟨k ⊔ l, ?_⟩
simp [LieSubmodule.add_eq_sup, (M₁ ⊔ M₂).lowerCentralSeries_eq_lcs_comap, LieSubmodule.lcs_sup,
(M₁.lowerCentralSeries_eq_bot_iff_lcs_eq_bot (k ⊔ l)).1 h₁,
(M₂.lowerCentralSeries_eq_bot_iff_lcs_eq_bot (k ⊔ l)).1 h₂, LieSubmodule.comap_incl_eq_bot]
theorem exists_forall_pow_toEnd_eq_zero [IsNilpotent L M] :
∃ k : ℕ, ∀ x : L, toEnd R L M x ^ k = 0 := by
obtain ⟨k, hM⟩ := IsNilpotent.nilpotent R L M
use k
intro x; ext m
rw [Module.End.pow_apply, LinearMap.zero_apply, ← @LieSubmodule.mem_bot R L M, ← hM]
exact iterate_toEnd_mem_lowerCentralSeries R L M x m k
theorem isNilpotent_toEnd_of_isNilpotent [IsNilpotent L M] (x : L) :
_root_.IsNilpotent (toEnd R L M x) := by
change ∃ k, toEnd R L M x ^ k = 0
have := exists_forall_pow_toEnd_eq_zero R L M
tauto
theorem isNilpotent_toEnd_of_isNilpotent₂ [IsNilpotent L M] (x y : L) :
_root_.IsNilpotent (toEnd R L M x ∘ₗ toEnd R L M y) := by
obtain ⟨k, hM⟩ := IsNilpotent.nilpotent R L M
replace hM : lowerCentralSeries R L M (2 * k) = ⊥ := by
rw [eq_bot_iff, ← hM]; exact antitone_lowerCentralSeries R L M (by omega)
use k
ext m
rw [Module.End.pow_apply, LinearMap.zero_apply, ← LieSubmodule.mem_bot (R := R) (L := L), ← hM]
exact iterate_toEnd_mem_lowerCentralSeries₂ R L M x y m k
@[simp] lemma maxGenEigenSpace_toEnd_eq_top [IsNilpotent L M] (x : L) :
((toEnd R L M x).maxGenEigenspace 0) = ⊤ := by
ext m
simp only [Module.End.mem_maxGenEigenspace, zero_smul, sub_zero, Submodule.mem_top,
iff_true]
obtain ⟨k, hk⟩ := exists_forall_pow_toEnd_eq_zero R L M
exact ⟨k, by simp [hk x]⟩
/-- If the quotient of a Lie module `M` by a Lie submodule on which the Lie algebra acts trivially
is nilpotent then `M` is nilpotent.
This is essentially the Lie module equivalent of the fact that a central
extension of nilpotent Lie algebras is nilpotent. See `LieAlgebra.nilpotent_of_nilpotent_quotient`
below for the corresponding result for Lie algebras. -/
theorem nilpotentOfNilpotentQuotient {N : LieSubmodule R L M} (h₁ : N ≤ maxTrivSubmodule R L M)
(h₂ : IsNilpotent L (M ⧸ N)) : IsNilpotent L M := by
rw [isNilpotent_iff R L] at h₂ ⊢
obtain ⟨k, hk⟩ := h₂
use k + 1
simp only [lowerCentralSeries_succ]
suffices lowerCentralSeries R L M k ≤ N by
replace this := LieSubmodule.mono_lie_right ⊤ (le_trans this h₁)
rwa [ideal_oper_maxTrivSubmodule_eq_bot, le_bot_iff] at this
rw [← LieSubmodule.Quotient.map_mk'_eq_bot_le, ← le_bot_iff, ← hk]
exact map_lowerCentralSeries_le k (LieSubmodule.Quotient.mk' N)
theorem isNilpotent_quotient_iff :
IsNilpotent L (M ⧸ N) ↔ ∃ k, lowerCentralSeries R L M k ≤ N := by
rw [isNilpotent_iff R L]
refine exists_congr fun k ↦ ?_
rw [← LieSubmodule.Quotient.map_mk'_eq_bot_le, map_lowerCentralSeries_eq k
(LieSubmodule.Quotient.surjective_mk' N)]
theorem iInf_lcs_le_of_isNilpotent_quot (h : IsNilpotent L (M ⧸ N)) :
⨅ k, lowerCentralSeries R L M k ≤ N := by
obtain ⟨k, hk⟩ := (isNilpotent_quotient_iff R L M N).mp h
exact iInf_le_of_le k hk
end
/-- Given a nilpotent Lie module `M` with lower central series `M = C₀ ≥ C₁ ≥ ⋯ ≥ Cₖ = ⊥`, this is
the natural number `k` (the number of inclusions).
For a non-nilpotent module, we use the junk value 0. -/
noncomputable def nilpotencyLength : ℕ :=
sInf {k | lowerCentralSeries ℤ L M k = ⊥}
@[simp]
theorem nilpotencyLength_eq_zero_iff [IsNilpotent L M] :
nilpotencyLength L M = 0 ↔ Subsingleton M := by
let s := {k | lowerCentralSeries ℤ L M k = ⊥}
have hs : s.Nonempty := by
obtain ⟨k, hk⟩ := IsNilpotent.nilpotent ℤ L M
exact ⟨k, hk⟩
change sInf s = 0 ↔ _
rw [← LieSubmodule.subsingleton_iff ℤ L M, ← subsingleton_iff_bot_eq_top, ←
lowerCentralSeries_zero, @eq_comm (LieSubmodule ℤ L M)]
refine ⟨fun h => h ▸ Nat.sInf_mem hs, fun h => ?_⟩
rw [Nat.sInf_eq_zero]
exact Or.inl h
section
variable [LieModule R L M]
theorem nilpotencyLength_eq_succ_iff (k : ℕ) :
nilpotencyLength L M = k + 1 ↔
lowerCentralSeries R L M (k + 1) = ⊥ ∧ lowerCentralSeries R L M k ≠ ⊥ := by
have aux (k : ℕ) : lowerCentralSeries R L M k = ⊥ ↔ lowerCentralSeries ℤ L M k = ⊥ := by
simp [SetLike.ext'_iff, coe_lowerCentralSeries_eq_int R L M]
let s := {k | lowerCentralSeries ℤ L M k = ⊥}
rw [aux, ne_eq, aux]
change sInf s = k + 1 ↔ k + 1 ∈ s ∧ k ∉ s
have hs : ∀ k₁ k₂, k₁ ≤ k₂ → k₁ ∈ s → k₂ ∈ s := by
rintro k₁ k₂ h₁₂ (h₁ : lowerCentralSeries ℤ L M k₁ = ⊥)
exact eq_bot_iff.mpr (h₁ ▸ antitone_lowerCentralSeries ℤ L M h₁₂)
exact Nat.sInf_upward_closed_eq_succ_iff hs k
@[simp]
theorem nilpotencyLength_eq_one_iff [Nontrivial M] :
nilpotencyLength L M = 1 ↔ IsTrivial L M := by
rw [nilpotencyLength_eq_succ_iff ℤ, ← trivial_iff_lower_central_eq_bot]
simp
| theorem isTrivial_of_nilpotencyLength_le_one [IsNilpotent L M] (h : nilpotencyLength L M ≤ 1) :
IsTrivial L M := by
nontriviality M
rcases Nat.le_one_iff_eq_zero_or_eq_one.mp h with h | h
· rw [nilpotencyLength_eq_zero_iff] at h; infer_instance
· rwa [nilpotencyLength_eq_one_iff] at h
end
/-- Given a non-trivial nilpotent Lie module `M` with lower central series
`M = C₀ ≥ C₁ ≥ ⋯ ≥ Cₖ = ⊥`, this is the `k-1`th term in the lower central series (the last
non-trivial term).
For a trivial or non-nilpotent module, this is the bottom submodule, `⊥`. -/
noncomputable def lowerCentralSeriesLast : LieSubmodule R L M :=
| Mathlib/Algebra/Lie/Nilpotent.lean | 431 | 445 |
/-
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.NumberTheory.Padics.PadicVal.Basic
/-!
# p-adic norm
This file defines the `p`-adic norm on `ℚ`.
The `p`-adic valuation on `ℚ` is the difference of the multiplicities of `p` in the numerator and
denominator of `q`. This function obeys the standard properties of a valuation, with the appropriate
assumptions on `p`.
The valuation induces a norm on `ℚ`. This norm is a nonarchimedean absolute value.
It takes values in {0} ∪ {1/p^k | k ∈ ℤ}.
## 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.
## 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
-/
/-- If `q ≠ 0`, the `p`-adic norm of a rational `q` is `p ^ (-padicValRat p q)`.
If `q = 0`, the `p`-adic norm of `q` is `0`. -/
def padicNorm (p : ℕ) (q : ℚ) : ℚ :=
if q = 0 then 0 else (p : ℚ) ^ (-padicValRat p q)
namespace padicNorm
open padicValRat
variable {p : ℕ}
/-- Unfolds the definition of the `p`-adic norm of `q` when `q ≠ 0`. -/
@[simp]
protected theorem eq_zpow_of_nonzero {q : ℚ} (hq : q ≠ 0) :
padicNorm p q = (p : ℚ) ^ (-padicValRat p q) := by simp [hq, padicNorm]
/-- The `p`-adic norm is nonnegative. -/
protected theorem nonneg (q : ℚ) : 0 ≤ padicNorm p q :=
if hq : q = 0 then by simp [hq, padicNorm]
else by
unfold padicNorm
split_ifs
apply zpow_nonneg
exact mod_cast Nat.zero_le _
/-- The `p`-adic norm of `0` is `0`. -/
@[simp]
protected theorem zero : padicNorm p 0 = 0 := by simp [padicNorm]
/-- The `p`-adic norm of `1` is `1`. -/
protected theorem one : padicNorm p 1 = 1 := by simp [padicNorm]
/-- The `p`-adic norm of `p` is `p⁻¹` if `p > 1`.
See also `padicNorm.padicNorm_p_of_prime` for a version assuming `p` is prime. -/
theorem padicNorm_p (hp : 1 < p) : padicNorm p p = (p : ℚ)⁻¹ := by
simp [padicNorm, (pos_of_gt hp).ne', padicValNat.self hp]
/-- The `p`-adic norm of `p` is `p⁻¹` if `p` is prime.
See also `padicNorm.padicNorm_p` for a version assuming `1 < p`. -/
@[simp]
theorem padicNorm_p_of_prime [Fact p.Prime] : padicNorm p p = (p : ℚ)⁻¹ :=
padicNorm_p <| Nat.Prime.one_lt Fact.out
/-- The `p`-adic norm of `q` is `1` if `q` is prime and not equal to `p`. -/
theorem padicNorm_of_prime_of_ne {q : ℕ} [p_prime : Fact p.Prime] [q_prime : Fact q.Prime]
(neq : p ≠ q) : padicNorm p q = 1 := by
have p : padicValRat p q = 0 := mod_cast padicValNat_primes neq
rw [padicNorm, p]
simp [q_prime.1.ne_zero]
/-- The `p`-adic norm of `p` is less than `1` if `1 < p`.
See also `padicNorm.padicNorm_p_lt_one_of_prime` for a version assuming `p` is prime. -/
theorem padicNorm_p_lt_one (hp : 1 < p) : padicNorm p p < 1 := by
rw [padicNorm_p hp, inv_lt_one_iff₀]
exact mod_cast Or.inr hp
/-- The `p`-adic norm of `p` is less than `1` if `p` is prime.
See also `padicNorm.padicNorm_p_lt_one` for a version assuming `1 < p`. -/
theorem padicNorm_p_lt_one_of_prime [Fact p.Prime] : padicNorm p p < 1 :=
padicNorm_p_lt_one <| Nat.Prime.one_lt Fact.out
/-- `padicNorm p q` takes discrete values `p ^ -z` for `z : ℤ`. -/
protected theorem values_discrete {q : ℚ} (hq : q ≠ 0) : ∃ z : ℤ, padicNorm p q = (p : ℚ) ^ (-z) :=
⟨padicValRat p q, by simp [padicNorm, hq]⟩
/-- `padicNorm p` is symmetric. -/
@[simp]
protected theorem neg (q : ℚ) : padicNorm p (-q) = padicNorm p q :=
if hq : q = 0 then by simp [hq] else by simp [padicNorm, hq]
variable [hp : Fact p.Prime]
/-- If `q ≠ 0`, then `padicNorm p q ≠ 0`. -/
protected theorem nonzero {q : ℚ} (hq : q ≠ 0) : padicNorm p q ≠ 0 := by
rw [padicNorm.eq_zpow_of_nonzero hq]
apply zpow_ne_zero
exact mod_cast ne_of_gt hp.1.pos
/-- If the `p`-adic norm of `q` is 0, then `q` is `0`. -/
theorem zero_of_padicNorm_eq_zero {q : ℚ} (h : padicNorm p q = 0) : q = 0 := by
apply by_contradiction; intro hq
unfold padicNorm at h; rw [if_neg hq] at h
apply absurd h
apply zpow_ne_zero
exact mod_cast hp.1.ne_zero
/-- The `p`-adic norm is multiplicative. -/
@[simp]
protected theorem mul (q r : ℚ) : padicNorm p (q * r) = padicNorm p q * padicNorm p r :=
if hq : q = 0 then by simp [hq]
else
if hr : r = 0 then by simp [hr]
else by
have : (p : ℚ) ≠ 0 := by simp [hp.1.ne_zero]
simp [padicNorm, *, padicValRat.mul, zpow_add₀ this, mul_comm]
/-- The `p`-adic norm respects division. -/
@[simp]
protected theorem div (q r : ℚ) : padicNorm p (q / r) = padicNorm p q / padicNorm p r :=
if hr : r = 0 then by simp [hr]
else eq_div_of_mul_eq (padicNorm.nonzero hr) (by rw [← padicNorm.mul, div_mul_cancel₀ _ hr])
/-- The `p`-adic norm of an integer is at most `1`. -/
protected theorem of_int (z : ℤ) : padicNorm p z ≤ 1 := by
obtain rfl | hz := eq_or_ne z 0
· simp
· rw [padicNorm, if_neg (mod_cast hz)]
exact zpow_le_one_of_nonpos₀ (mod_cast hp.1.one_le) (by simp)
private theorem nonarchimedean_aux {q r : ℚ} (h : padicValRat p q ≤ padicValRat p r) :
padicNorm p (q + r) ≤ max (padicNorm p q) (padicNorm p r) :=
have hnqp : padicNorm p q ≥ 0 := padicNorm.nonneg _
have hnrp : padicNorm p r ≥ 0 := padicNorm.nonneg _
if hq : q = 0 then by simp [hq, max_eq_right hnrp, le_max_right]
else
if hr : r = 0 then by simp [hr, max_eq_left hnqp, le_max_left]
else
if hqr : q + r = 0 then le_trans (by simpa [hqr] using hnqp) (le_max_left _ _)
else by
unfold padicNorm; split_ifs
apply le_max_iff.2
left
apply zpow_le_zpow_right₀
· exact mod_cast le_of_lt hp.1.one_lt
· apply neg_le_neg
have : padicValRat p q = min (padicValRat p q) (padicValRat p r) := (min_eq_left h).symm
rw [this]
exact min_le_padicValRat_add hqr
/-- The `p`-adic norm is nonarchimedean: the norm of `p + q` is at most the max of the norm of `p`
and the norm of `q`. -/
protected theorem nonarchimedean {q r : ℚ} :
padicNorm p (q + r) ≤ max (padicNorm p q) (padicNorm p r) := by
wlog hle : padicValRat p q ≤ padicValRat p r generalizing q r
· rw [add_comm, max_comm]
exact this (le_of_not_le hle)
exact nonarchimedean_aux hle
/-- The `p`-adic norm respects the triangle inequality: the norm of `p + q` is at most the norm of
`p` plus the norm of `q`. -/
theorem triangle_ineq (q r : ℚ) : padicNorm p (q + r) ≤ padicNorm p q + padicNorm p r :=
calc
padicNorm p (q + r) ≤ max (padicNorm p q) (padicNorm p r) := padicNorm.nonarchimedean
_ ≤ padicNorm p q + padicNorm p r :=
max_le_add_of_nonneg (padicNorm.nonneg _) (padicNorm.nonneg _)
/-- The `p`-adic norm of a difference is at most the max of each component. Restates the archimedean
property of the `p`-adic norm. -/
protected theorem sub {q r : ℚ} : padicNorm p (q - r) ≤ max (padicNorm p q) (padicNorm p r) := by
rw [sub_eq_add_neg, ← padicNorm.neg r]
exact padicNorm.nonarchimedean
/-- If the `p`-adic norms of `q` and `r` are different, then the norm of `q + r` is equal to the max
of the norms of `q` and `r`. -/
theorem add_eq_max_of_ne {q r : ℚ} (hne : padicNorm p q ≠ padicNorm p r) :
padicNorm p (q + r) = max (padicNorm p q) (padicNorm p r) := by
wlog hlt : padicNorm p r < padicNorm p q
· rw [add_comm, max_comm]
exact this hne.symm (hne.lt_or_lt.resolve_right hlt)
have : padicNorm p q ≤ max (padicNorm p (q + r)) (padicNorm p r) :=
calc
padicNorm p q = padicNorm p (q + r + (-r)) := by ring_nf
_ ≤ max (padicNorm p (q + r)) (padicNorm p (-r)) := padicNorm.nonarchimedean
_ = max (padicNorm p (q + r)) (padicNorm p r) := by simp
have hnge : padicNorm p r ≤ padicNorm p (q + r) := by
apply le_of_not_gt
intro hgt
rw [max_eq_right_of_lt hgt] at this
exact not_lt_of_ge this hlt
have : padicNorm p q ≤ padicNorm p (q + r) := by rwa [max_eq_left hnge] at this
apply _root_.le_antisymm
· apply padicNorm.nonarchimedean
· rwa [max_eq_left_of_lt hlt]
/-- The `p`-adic norm is an absolute value: positive-definite and multiplicative, satisfying the
triangle inequality. -/
instance : IsAbsoluteValue (padicNorm p) where
abv_nonneg' := padicNorm.nonneg
abv_eq_zero' := ⟨zero_of_padicNorm_eq_zero, fun hx ↦ by simp [hx]⟩
abv_add' := padicNorm.triangle_ineq
abv_mul' := padicNorm.mul
theorem dvd_iff_norm_le {n : ℕ} {z : ℤ} : ↑(p ^ n) ∣ z ↔ padicNorm p z ≤ (p : ℚ) ^ (-n : ℤ) := by
unfold padicNorm; split_ifs with hz
· norm_cast at hz
simp [hz]
· rw [zpow_le_zpow_iff_right₀, neg_le_neg_iff, padicValRat.of_int,
padicValInt.of_ne_one_ne_zero hp.1.ne_one _]
· norm_cast
rw [← FiniteMultiplicity.pow_dvd_iff_le_multiplicity]
· norm_cast
· apply Int.finiteMultiplicity_iff.2 ⟨by simp [hp.out.ne_one], mod_cast hz⟩
· exact_mod_cast hz
· exact_mod_cast hp.out.one_lt
/-- The `p`-adic norm of an integer `m` is one iff `p` doesn't divide `m`. -/
theorem int_eq_one_iff (m : ℤ) : padicNorm p m = 1 ↔ ¬(p : ℤ) ∣ m := by
nth_rw 2 [← pow_one p]
simp only [dvd_iff_norm_le, Int.cast_natCast, Nat.cast_one, zpow_neg, zpow_one, not_le]
constructor
· intro h
rw [h, inv_lt_one₀] <;> norm_cast
· exact Nat.Prime.one_lt Fact.out
· exact Nat.Prime.pos Fact.out
· simp only [padicNorm]
split_ifs
· rw [inv_lt_zero, ← Nat.cast_zero, Nat.cast_lt]
intro h
exact (Nat.not_lt_zero p h).elim
· have : 1 < (p : ℚ) := by norm_cast; exact Nat.Prime.one_lt (Fact.out : Nat.Prime p)
rw [← zpow_neg_one, zpow_lt_zpow_iff_right₀ this]
have : 0 ≤ padicValRat p m := by simp only [of_int, Nat.cast_nonneg]
intro h
| rw [← zpow_zero (p : ℚ), zpow_right_inj₀] <;> linarith
theorem int_lt_one_iff (m : ℤ) : padicNorm p m < 1 ↔ (p : ℤ) ∣ m := by
rw [← not_iff_not, ← int_eq_one_iff, eq_iff_le_not_lt]
simp only [padicNorm.of_int, true_and]
theorem of_nat (m : ℕ) : padicNorm p m ≤ 1 :=
padicNorm.of_int (m : ℤ)
/-- The `p`-adic norm of a natural `m` is one iff `p` doesn't divide `m`. -/
theorem nat_eq_one_iff (m : ℕ) : padicNorm p m = 1 ↔ ¬p ∣ m := by
| Mathlib/NumberTheory/Padics/PadicNorm.lean | 254 | 264 |
/-
Copyright (c) 2019 Chris Hughes. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Chris Hughes, Yaël Dillies
-/
import Mathlib.GroupTheory.Perm.Cycle.Basic
/-!
# Closure results for permutation groups
* This file contains several closure results:
* `closure_isCycle` : The symmetric group is generated by cycles
* `closure_cycle_adjacent_swap` : The symmetric group is generated by
a cycle and an adjacent transposition
* `closure_cycle_coprime_swap` : The symmetric group is generated by
a cycle and a coprime transposition
* `closure_prime_cycle_swap` : The symmetric group is generated by
a prime cycle and a transposition
-/
open Equiv Function Finset
variable {ι α β : Type*}
namespace Equiv.Perm
section Generation
variable [Finite β]
open Subgroup
theorem closure_isCycle : closure { σ : Perm β | IsCycle σ } = ⊤ := by
classical
| cases nonempty_fintype β
exact
top_le_iff.mp (le_trans (ge_of_eq closure_isSwap) (closure_mono fun _ => IsSwap.isCycle))
variable [DecidableEq α] [Fintype α]
| Mathlib/GroupTheory/Perm/Closure.lean | 37 | 41 |
/-
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.Finset.Basic
import Mathlib.Data.Finset.Image
import Mathlib.Data.Multiset.Fold
/-!
# The fold operation for a commutative associative operation over a finset.
-/
assert_not_exists Monoid
namespace Finset
open Multiset
variable {α β γ : Type*}
/-! ### fold -/
section Fold
variable (op : β → β → β) [hc : Std.Commutative op] [ha : Std.Associative op]
local notation a " * " b => op a b
/-- `fold op b f s` folds the commutative associative operation `op` over the
`f`-image of `s`, i.e. `fold (+) b f {1,2,3} = f 1 + f 2 + f 3 + b`. -/
def fold (b : β) (f : α → β) (s : Finset α) : β :=
(s.1.map f).fold op b
variable {op} {f : α → β} {b : β} {s : Finset α} {a : α}
@[simp]
theorem fold_empty : (∅ : Finset α).fold op b f = b :=
rfl
@[simp]
theorem fold_cons (h : a ∉ s) : (cons a s h).fold op b f = f a * s.fold op b f := by
dsimp only [fold]
rw [cons_val, Multiset.map_cons, fold_cons_left]
@[simp]
theorem fold_insert [DecidableEq α] (h : a ∉ s) :
(insert a s).fold op b f = f a * s.fold op b f := by
unfold fold
rw [insert_val, ndinsert_of_not_mem h, Multiset.map_cons, fold_cons_left]
@[simp]
theorem fold_singleton : ({a} : Finset α).fold op b f = f a * b :=
rfl
@[simp]
theorem fold_map {g : γ ↪ α} {s : Finset γ} : (s.map g).fold op b f = s.fold op b (f ∘ g) := by
simp only [fold, map, Multiset.map_map]
@[simp]
theorem fold_image [DecidableEq α] {g : γ → α} {s : Finset γ}
(H : ∀ x ∈ s, ∀ y ∈ s, g x = g y → x = y) : (s.image g).fold op b f = s.fold op b (f ∘ g) := by
simp only [fold, image_val_of_injOn H, Multiset.map_map]
@[congr]
theorem fold_congr {g : α → β} (H : ∀ x ∈ s, f x = g x) : s.fold op b f = s.fold op b g := by
rw [fold, fold, map_congr rfl H]
theorem fold_op_distrib {f g : α → β} {b₁ b₂ : β} :
(s.fold op (b₁ * b₂) fun x => f x * g x) = s.fold op b₁ f * s.fold op b₂ g := by
simp only [fold, fold_distrib]
theorem fold_const [hd : Decidable (s = ∅)] (c : β) (h : op c (op b c) = op b c) :
Finset.fold op b (fun _ => c) s = if s = ∅ then b else op b c := by
classical
induction' s using Finset.induction_on with x s hx IH generalizing hd
· simp
· simp only [Finset.fold_insert hx, IH, if_false, Finset.insert_ne_empty]
split_ifs
· rw [hc.comm]
· exact h
theorem fold_hom {op' : γ → γ → γ} [Std.Commutative op'] [Std.Associative op'] {m : β → γ}
(hm : ∀ x y, m (op x y) = op' (m x) (m y)) :
(s.fold op' (m b) fun x => m (f x)) = m (s.fold op b f) := by
rw [fold, fold, ← Multiset.fold_hom op hm, Multiset.map_map]
simp only [Function.comp_apply]
theorem fold_disjUnion {s₁ s₂ : Finset α} {b₁ b₂ : β} (h) :
(s₁.disjUnion s₂ h).fold op (b₁ * b₂) f = s₁.fold op b₁ f * s₂.fold op b₂ f :=
(congr_arg _ <| Multiset.map_add _ _ _).trans (Multiset.fold_add _ _ _ _ _)
theorem fold_union_inter [DecidableEq α] {s₁ s₂ : Finset α} {b₁ b₂ : β} :
((s₁ ∪ s₂).fold op b₁ f * (s₁ ∩ s₂).fold op b₂ f) = s₁.fold op b₂ f * s₂.fold op b₁ f := by
unfold fold
rw [← fold_add op, ← Multiset.map_add, union_val, inter_val, union_add_inter, Multiset.map_add,
hc.comm, fold_add]
@[simp]
theorem fold_insert_idem [DecidableEq α] [hi : Std.IdempotentOp op] :
(insert a s).fold op b f = f a * s.fold op b f := by
by_cases h : a ∈ s
· rw [← insert_erase h]
simp [← ha.assoc, hi.idempotent]
· apply fold_insert h
theorem fold_image_idem [DecidableEq α] {g : γ → α} {s : Finset γ} [hi : Std.IdempotentOp op] :
(image g s).fold op b f = s.fold op b (f ∘ g) := by
induction' s using Finset.cons_induction with x xs hx ih
· rw [fold_empty, image_empty, fold_empty]
· haveI := Classical.decEq γ
rw [fold_cons, cons_eq_insert, image_insert, fold_insert_idem, ih]
simp only [Function.comp_apply]
| /-- A stronger version of `Finset.fold_ite`, but relies on
an explicit proof of idempotency on the seed element, rather
than relying on typeclass idempotency over the whole type. -/
theorem fold_ite' {g : α → β} (hb : op b b = b) (p : α → Prop) [DecidablePred p] :
Finset.fold op b (fun i => ite (p i) (f i) (g i)) s =
| Mathlib/Data/Finset/Fold.lean | 116 | 120 |
/-
Copyright (c) 2019 Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sébastien Gouëzel, Yury Kudryashov
-/
import Mathlib.Algebra.BigOperators.Intervals
import Mathlib.Topology.Algebra.InfiniteSum.Order
import Mathlib.Topology.Instances.ENNReal.Lemmas
/-!
# Infinite sum in the reals
This file provides lemmas about Cauchy sequences in terms of infinite sums and infinite sums valued
in the reals.
-/
open Filter Finset NNReal Topology
variable {α β : Type*} [PseudoMetricSpace α] {f : ℕ → α} {a : α}
/-- If the distance between consecutive points of a sequence is estimated by a summable series,
then the original sequence is a Cauchy sequence. -/
theorem cauchySeq_of_dist_le_of_summable (d : ℕ → ℝ) (hf : ∀ n, dist (f n) (f n.succ) ≤ d n)
(hd : Summable d) : CauchySeq f := by
lift d to ℕ → ℝ≥0 using fun n ↦ dist_nonneg.trans (hf n)
apply cauchySeq_of_edist_le_of_summable d (α := α) (f := f)
· exact_mod_cast hf
· exact_mod_cast hd
theorem cauchySeq_of_summable_dist (h : Summable fun n ↦ dist (f n) (f n.succ)) : CauchySeq f :=
cauchySeq_of_dist_le_of_summable _ (fun _ ↦ le_rfl) h
theorem dist_le_tsum_of_dist_le_of_tendsto (d : ℕ → ℝ) (hf : ∀ n, dist (f n) (f n.succ) ≤ d n)
(hd : Summable d) {a : α} (ha : Tendsto f atTop (𝓝 a)) (n : ℕ) :
dist (f n) a ≤ ∑' m, d (n + m) := by
refine le_of_tendsto (tendsto_const_nhds.dist ha) (eventually_atTop.2 ⟨n, fun m hnm ↦ ?_⟩)
refine le_trans (dist_le_Ico_sum_of_dist_le hnm fun _ _ ↦ hf _) ?_
rw [sum_Ico_eq_sum_range]
refine Summable.sum_le_tsum (range _) (fun _ _ ↦ le_trans dist_nonneg (hf _)) ?_
exact hd.comp_injective (add_right_injective n)
theorem dist_le_tsum_of_dist_le_of_tendsto₀ (d : ℕ → ℝ) (hf : ∀ n, dist (f n) (f n.succ) ≤ d n)
(hd : Summable d) (ha : Tendsto f atTop (𝓝 a)) : dist (f 0) a ≤ tsum d := by
simpa only [zero_add] using dist_le_tsum_of_dist_le_of_tendsto d hf hd ha 0
theorem dist_le_tsum_dist_of_tendsto (h : Summable fun n ↦ dist (f n) (f n.succ))
(ha : Tendsto f atTop (𝓝 a)) (n) : dist (f n) a ≤ ∑' m, dist (f (n + m)) (f (n + m).succ) :=
show dist (f n) a ≤ ∑' m, (fun x ↦ dist (f x) (f x.succ)) (n + m) from
dist_le_tsum_of_dist_le_of_tendsto (fun n ↦ dist (f n) (f n.succ)) (fun _ ↦ le_rfl) h ha n
theorem dist_le_tsum_dist_of_tendsto₀ (h : Summable fun n ↦ dist (f n) (f n.succ))
(ha : Tendsto f atTop (𝓝 a)) : dist (f 0) a ≤ ∑' n, dist (f n) (f n.succ) := by
simpa only [zero_add] using dist_le_tsum_dist_of_tendsto h ha 0
section summable
theorem not_summable_iff_tendsto_nat_atTop_of_nonneg {f : ℕ → ℝ} (hf : ∀ n, 0 ≤ f n) :
¬Summable f ↔ Tendsto (fun n : ℕ => ∑ i ∈ Finset.range n, f i) atTop atTop := by
lift f to ℕ → ℝ≥0 using hf
simpa using mod_cast NNReal.not_summable_iff_tendsto_nat_atTop
theorem summable_iff_not_tendsto_nat_atTop_of_nonneg {f : ℕ → ℝ} (hf : ∀ n, 0 ≤ f n) :
Summable f ↔ ¬Tendsto (fun n : ℕ => ∑ i ∈ Finset.range n, f i) atTop atTop := by
rw [← not_iff_not, Classical.not_not, not_summable_iff_tendsto_nat_atTop_of_nonneg hf]
theorem summable_sigma_of_nonneg {α} {β : α → Type*} {f : (Σ x, β x) → ℝ} (hf : ∀ x, 0 ≤ f x) :
Summable f ↔ (∀ x, Summable fun y => f ⟨x, y⟩) ∧ Summable fun x => ∑' y, f ⟨x, y⟩ := by
lift f to (Σx, β x) → ℝ≥0 using hf
simpa using mod_cast NNReal.summable_sigma
lemma summable_partition {α β : Type*} {f : β → ℝ} (hf : 0 ≤ f) {s : α → Set β}
(hs : ∀ i, ∃! j, i ∈ s j) : Summable f ↔
| (∀ j, Summable fun i : s j ↦ f i) ∧ Summable fun j ↦ ∑' i : s j, f i := by
simpa only [← (Set.sigmaEquiv s hs).summable_iff] using summable_sigma_of_nonneg (fun _ ↦ hf _)
| Mathlib/Topology/Algebra/InfiniteSum/Real.lean | 73 | 75 |
/-
Copyright (c) 2019 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.Analysis.Calculus.ContDiff.Operations
import Mathlib.Data.Finset.Sym
import Mathlib.Data.Nat.Choose.Cast
import Mathlib.Data.Nat.Choose.Multinomial
/-!
# Bounds on higher derivatives
`norm_iteratedFDeriv_comp_le` gives the bound `n! * C * D ^ n` for the `n`-th derivative
of `g ∘ f` assuming that the derivatives of `g` are bounded by `C` and the `i`-th
derivative of `f` is bounded by `D ^ i`.
-/
noncomputable section
open scoped NNReal Nat
universe u uD uE uF uG
open Set Fin Filter Function
variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {D : Type uD} [NormedAddCommGroup D]
[NormedSpace 𝕜 D] {E : Type uE} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {F : Type uF}
[NormedAddCommGroup F] [NormedSpace 𝕜 F] {G : Type uG} [NormedAddCommGroup G] [NormedSpace 𝕜 G]
{s s₁ t u : Set E}
/-!## Quantitative bounds -/
/-- Bounding the norm of the iterated derivative of `B (f x) (g x)` within a set in terms of the
iterated derivatives of `f` and `g` when `B` is bilinear. This lemma is an auxiliary version
assuming all spaces live in the same universe, to enable an induction. Use instead
`ContinuousLinearMap.norm_iteratedFDerivWithin_le_of_bilinear` that removes this assumption. -/
theorem ContinuousLinearMap.norm_iteratedFDerivWithin_le_of_bilinear_aux {Du Eu Fu Gu : Type u}
[NormedAddCommGroup Du] [NormedSpace 𝕜 Du] [NormedAddCommGroup Eu] [NormedSpace 𝕜 Eu]
| [NormedAddCommGroup Fu] [NormedSpace 𝕜 Fu] [NormedAddCommGroup Gu] [NormedSpace 𝕜 Gu]
(B : Eu →L[𝕜] Fu →L[𝕜] Gu) {f : Du → Eu} {g : Du → Fu} {n : ℕ} {s : Set Du} {x : Du}
(hf : ContDiffOn 𝕜 n f s) (hg : ContDiffOn 𝕜 n g s) (hs : UniqueDiffOn 𝕜 s) (hx : x ∈ s) :
‖iteratedFDerivWithin 𝕜 n (fun y => B (f y) (g y)) s x‖ ≤
‖B‖ * ∑ i ∈ Finset.range (n + 1), (n.choose i : ℝ) * ‖iteratedFDerivWithin 𝕜 i f s x‖ *
‖iteratedFDerivWithin 𝕜 (n - i) g s x‖ := by
/- We argue by induction on `n`. The bound is trivial for `n = 0`. For `n + 1`, we write
the `(n+1)`-th derivative as the `n`-th derivative of the derivative `B f g' + B f' g`,
and apply the inductive assumption to each of those two terms. For this induction to make sense,
the spaces of linear maps that appear in the induction should be in the same universe as the
original spaces, which explains why we assume in the lemma that all spaces live in the same
universe. -/
induction' n with n IH generalizing Eu Fu Gu
· simp only [norm_iteratedFDerivWithin_zero, zero_add, Finset.range_one,
Finset.sum_singleton, Nat.choose_self, Nat.cast_one, one_mul, Nat.sub_zero, ← mul_assoc]
apply B.le_opNorm₂
· have In : (n : WithTop ℕ∞) + 1 ≤ n.succ := by simp only [Nat.cast_succ, le_refl]
-- Porting note: the next line is a hack allowing Lean to find the operator norm instance.
let norm := @ContinuousLinearMap.hasOpNorm _ _ Eu ((Du →L[𝕜] Fu) →L[𝕜] Du →L[𝕜] Gu) _ _ _ _ _ _
(RingHom.id 𝕜)
have I1 :
‖iteratedFDerivWithin 𝕜 n (fun y : Du => B.precompR Du (f y) (fderivWithin 𝕜 g s y)) s x‖ ≤
‖B‖ * ∑ i ∈ Finset.range (n + 1), n.choose i * ‖iteratedFDerivWithin 𝕜 i f s x‖ *
‖iteratedFDerivWithin 𝕜 (n + 1 - i) g s x‖ := by
calc
‖iteratedFDerivWithin 𝕜 n (fun y : Du => B.precompR Du (f y) (fderivWithin 𝕜 g s y)) s x‖ ≤
‖B.precompR Du‖ * ∑ i ∈ Finset.range (n + 1),
n.choose i * ‖iteratedFDerivWithin 𝕜 i f s x‖ *
‖iteratedFDerivWithin 𝕜 (n - i) (fderivWithin 𝕜 g s) s x‖ :=
IH _ (hf.of_le (Nat.cast_le.2 (Nat.le_succ n))) (hg.fderivWithin hs In)
_ ≤ ‖B‖ * ∑ i ∈ Finset.range (n + 1), n.choose i * ‖iteratedFDerivWithin 𝕜 i f s x‖ *
‖iteratedFDerivWithin 𝕜 (n - i) (fderivWithin 𝕜 g s) s x‖ :=
mul_le_mul_of_nonneg_right (B.norm_precompR_le Du) (by positivity)
_ = _ := by
congr 1
apply Finset.sum_congr rfl fun i hi => ?_
rw [Nat.succ_sub (Nat.lt_succ_iff.1 (Finset.mem_range.1 hi)),
← norm_iteratedFDerivWithin_fderivWithin hs hx]
-- Porting note: the next line is a hack allowing Lean to find the operator norm instance.
let norm := @ContinuousLinearMap.hasOpNorm _ _ (Du →L[𝕜] Eu) (Fu →L[𝕜] Du →L[𝕜] Gu) _ _ _ _ _ _
(RingHom.id 𝕜)
have I2 :
‖iteratedFDerivWithin 𝕜 n (fun y : Du => B.precompL Du (fderivWithin 𝕜 f s y) (g y)) s x‖ ≤
‖B‖ * ∑ i ∈ Finset.range (n + 1), n.choose i * ‖iteratedFDerivWithin 𝕜 (i + 1) f s x‖ *
‖iteratedFDerivWithin 𝕜 (n - i) g s x‖ :=
calc
‖iteratedFDerivWithin 𝕜 n (fun y : Du => B.precompL Du (fderivWithin 𝕜 f s y) (g y)) s x‖ ≤
‖B.precompL Du‖ * ∑ i ∈ Finset.range (n + 1),
n.choose i * ‖iteratedFDerivWithin 𝕜 i (fderivWithin 𝕜 f s) s x‖ *
‖iteratedFDerivWithin 𝕜 (n - i) g s x‖ :=
IH _ (hf.fderivWithin hs In) (hg.of_le (Nat.cast_le.2 (Nat.le_succ n)))
_ ≤ ‖B‖ * ∑ i ∈ Finset.range (n + 1),
n.choose i * ‖iteratedFDerivWithin 𝕜 i (fderivWithin 𝕜 f s) s x‖ *
‖iteratedFDerivWithin 𝕜 (n - i) g s x‖ :=
mul_le_mul_of_nonneg_right (B.norm_precompL_le Du) (by positivity)
_ = _ := by
congr 1
apply Finset.sum_congr rfl fun i _ => ?_
rw [← norm_iteratedFDerivWithin_fderivWithin hs hx]
have J : iteratedFDerivWithin 𝕜 n
(fun y : Du => fderivWithin 𝕜 (fun y : Du => B (f y) (g y)) s y) s x =
iteratedFDerivWithin 𝕜 n (fun y => B.precompR Du (f y)
(fderivWithin 𝕜 g s y) + B.precompL Du (fderivWithin 𝕜 f s y) (g y)) s x := by
apply iteratedFDerivWithin_congr (fun y hy => ?_) hx
have L : (1 : WithTop ℕ∞) ≤ n.succ := by
simpa only [ENat.coe_one, Nat.one_le_cast] using Nat.succ_pos n
exact B.fderivWithin_of_bilinear (hf.differentiableOn L y hy) (hg.differentiableOn L y hy)
(hs y hy)
rw [← norm_iteratedFDerivWithin_fderivWithin hs hx, J]
have A : ContDiffOn 𝕜 n (fun y => B.precompR Du (f y) (fderivWithin 𝕜 g s y)) s :=
(B.precompR Du).isBoundedBilinearMap.contDiff.comp₂_contDiffOn
(hf.of_le (Nat.cast_le.2 (Nat.le_succ n))) (hg.fderivWithin hs In)
have A' : ContDiffOn 𝕜 n (fun y => B.precompL Du (fderivWithin 𝕜 f s y) (g y)) s :=
(B.precompL Du).isBoundedBilinearMap.contDiff.comp₂_contDiffOn (hf.fderivWithin hs In)
(hg.of_le (Nat.cast_le.2 (Nat.le_succ n)))
rw [iteratedFDerivWithin_add_apply' (A.contDiffWithinAt hx) (A'.contDiffWithinAt hx) hs hx]
apply (norm_add_le _ _).trans ((add_le_add I1 I2).trans (le_of_eq ?_))
simp_rw [← mul_add, mul_assoc]
congr 1
exact (Finset.sum_choose_succ_mul
(fun i j => ‖iteratedFDerivWithin 𝕜 i f s x‖ * ‖iteratedFDerivWithin 𝕜 j g s x‖) n).symm
/-- Bounding the norm of the iterated derivative of `B (f x) (g x)` within a set in terms of the
| Mathlib/Analysis/Calculus/ContDiff/Bounds.lean | 40 | 122 |
/-
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.ContMDiff.Defs
/-!
## Basic properties of `C^n` functions between manifolds
In this file, we show that standard operations on `C^n` maps between manifolds are `C^n` :
* `ContMDiffOn.comp` gives the invariance of the `Cⁿ` property under composition
* `contMDiff_id` gives the smoothness of the identity
* `contMDiff_const` gives the smoothness of constant functions
* `contMDiff_inclusion` shows that the inclusion between open sets of a topological space is `C^n`
* `contMDiff_isOpenEmbedding` shows that if `M` has a `ChartedSpace` structure induced by an open
embedding `e : M → H`, then `e` is `C^n`.
## Tags
chain rule, manifolds, higher derivative
-/
open Filter Function Set Topology
open scoped Manifold ContDiff
variable {𝕜 : Type*} [NontriviallyNormedField 𝕜]
-- declare the prerequisites for a charted space `M` over the pair `(E, H)`.
{E : Type*}
[NormedAddCommGroup E] [NormedSpace 𝕜 E] {H : Type*} [TopologicalSpace H]
{I : ModelWithCorners 𝕜 E H} {M : Type*} [TopologicalSpace M]
-- declare the prerequisites for a charted space `M'` over the pair `(E', H')`.
{E' : Type*}
[NormedAddCommGroup E'] [NormedSpace 𝕜 E'] {H' : Type*} [TopologicalSpace H']
{I' : ModelWithCorners 𝕜 E' H'} {M' : Type*} [TopologicalSpace M']
-- declare the prerequisites for a charted space `M''` over the pair `(E'', H'')`.
{E'' : Type*}
[NormedAddCommGroup E''] [NormedSpace 𝕜 E''] {H'' : Type*} [TopologicalSpace H'']
{I'' : ModelWithCorners 𝕜 E'' H''} {M'' : Type*} [TopologicalSpace M'']
section ChartedSpace
variable [ChartedSpace H M] [ChartedSpace H' M'] [ChartedSpace H'' M'']
-- declare functions, sets, points and smoothness indices
{f : M → M'} {s : Set M} {x : M} {n : WithTop ℕ∞}
/-! ### Regularity of the composition of `C^n` functions between manifolds -/
section Composition
/-- The composition of `C^n` functions within domains at points is `C^n`. -/
theorem ContMDiffWithinAt.comp {t : Set M'} {g : M' → M''} (x : M)
| (hg : ContMDiffWithinAt I' I'' n g t (f x)) (hf : ContMDiffWithinAt I I' n f s x)
(st : MapsTo f s t) : ContMDiffWithinAt I I'' n (g ∘ f) s x := by
rw [contMDiffWithinAt_iff] at hg hf ⊢
refine ⟨hg.1.comp hf.1 st, ?_⟩
set e := extChartAt I x
set e' := extChartAt I' (f x)
have : e' (f x) = (writtenInExtChartAt I I' x f) (e x) := by simp only [e, e', mfld_simps]
rw [this] at hg
have A : ∀ᶠ y in 𝓝[e.symm ⁻¹' s ∩ range I] e x, f (e.symm y) ∈ t ∧ f (e.symm y) ∈ e'.source := by
simp only [e, ← map_extChartAt_nhdsWithin, eventually_map]
filter_upwards [hf.1.tendsto (extChartAt_source_mem_nhds (I := I') (f x)),
inter_mem_nhdsWithin s (extChartAt_source_mem_nhds (I := I) x)]
rintro x' (hfx' : f x' ∈ e'.source) ⟨hx's, hx'⟩
simp only [e, e.map_source hx', true_and, e.left_inv hx', st hx's, *]
refine ((hg.2.comp _ (hf.2.mono inter_subset_right)
((mapsTo_preimage _ _).mono_left inter_subset_left)).mono_of_mem_nhdsWithin
(inter_mem ?_ self_mem_nhdsWithin)).congr_of_eventuallyEq ?_ ?_
· filter_upwards [A]
rintro x' ⟨ht, hfx'⟩
simp only [*, e, e',mem_preimage, writtenInExtChartAt, (· ∘ ·), mem_inter_iff, e'.left_inv,
true_and]
exact mem_range_self _
· filter_upwards [A]
rintro x' ⟨-, hfx'⟩
simp only [*, e, e', (· ∘ ·), writtenInExtChartAt, e'.left_inv]
· simp only [e, e', writtenInExtChartAt, (· ∘ ·), mem_extChartAt_source,
| Mathlib/Geometry/Manifold/ContMDiff/Basic.lean | 52 | 77 |
/-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Yury Kudryashov
-/
import Mathlib.MeasureTheory.Constructions.BorelSpace.Order
import Mathlib.MeasureTheory.MeasurableSpace.Prod
import Mathlib.MeasureTheory.Measure.Typeclasses.NoAtoms
import Mathlib.Topology.Instances.Real.Lemmas
/-!
# Borel (measurable) spaces ℝ, ℝ≥0, ℝ≥0∞
## Main statements
* `borel_eq_generateFrom_Ixx_rat` (where Ixx is one of {Ioo, Ioi, Iio, Ici, Iic):
the Borel sigma algebra on ℝ is generated by intervals with rational endpoints;
* `isPiSystem_Ixx_rat` (where Ixx is one of {Ioo, Ioi, Iio, Ici, Iic):
intervals with rational endpoints form a pi system on ℝ;
* `measurable_real_toNNReal`, `measurable_coe_nnreal_real`, `measurable_coe_nnreal_ennreal`,
`ENNReal.measurable_ofReal`, `ENNReal.measurable_toReal`:
measurability of various coercions between ℝ, ℝ≥0, and ℝ≥0∞;
* `Measurable.real_toNNReal`, `Measurable.coe_nnreal_real`, `Measurable.coe_nnreal_ennreal`,
`Measurable.ennreal_ofReal`, `Measurable.ennreal_toNNReal`, `Measurable.ennreal_toReal`:
measurability of functions composed with various coercions between ℝ, ℝ≥0, and ℝ≥0∞
(also similar results for a.e.-measurability);
* `Measurable.ennreal*` : measurability of special cases for arithmetic operations on `ℝ≥0∞`.
-/
open Set Filter MeasureTheory MeasurableSpace
open scoped Topology NNReal ENNReal
universe u v w x y
variable {α β γ δ : Type*} {ι : Sort y} {s t u : Set α}
namespace Real
theorem borel_eq_generateFrom_Ioo_rat :
borel ℝ = .generateFrom (⋃ (a : ℚ) (b : ℚ) (_ : a < b), {Ioo (a : ℝ) (b : ℝ)}) :=
isTopologicalBasis_Ioo_rat.borel_eq_generateFrom
theorem borel_eq_generateFrom_Iio_rat : borel ℝ = .generateFrom (⋃ a : ℚ, {Iio (a : ℝ)}) := by
rw [borel_eq_generateFrom_Iio]
refine le_antisymm
(generateFrom_le ?_)
(generateFrom_mono <| iUnion_subset fun q ↦ singleton_subset_iff.mpr <| mem_range_self _)
rintro _ ⟨a, rfl⟩
have : IsLUB (range ((↑) : ℚ → ℝ) ∩ Iio a) a := by
simp [isLUB_iff_le_iff, mem_upperBounds, ← le_iff_forall_rat_lt_imp_le]
rw [← this.biUnion_Iio_eq, ← image_univ, ← image_inter_preimage, univ_inter, biUnion_image]
exact MeasurableSet.biUnion (to_countable _)
fun b _ => GenerateMeasurable.basic (Iio (b : ℝ)) (by simp)
theorem borel_eq_generateFrom_Ioi_rat : borel ℝ = .generateFrom (⋃ a : ℚ, {Ioi (a : ℝ)}) := by
rw [borel_eq_generateFrom_Ioi]
refine le_antisymm
(generateFrom_le ?_)
(generateFrom_mono <| iUnion_subset fun q ↦ singleton_subset_iff.mpr <| mem_range_self _)
rintro _ ⟨a, rfl⟩
have : IsGLB (range ((↑) : ℚ → ℝ) ∩ Ioi a) a := by
simp [isGLB_iff_le_iff, mem_lowerBounds, ← le_iff_forall_lt_rat_imp_le]
rw [← this.biUnion_Ioi_eq, ← image_univ, ← image_inter_preimage, univ_inter, biUnion_image]
exact MeasurableSet.biUnion (to_countable _)
fun b _ => GenerateMeasurable.basic (Ioi (b : ℝ)) (by simp)
theorem borel_eq_generateFrom_Iic_rat : borel ℝ = .generateFrom (⋃ a : ℚ, {Iic (a : ℝ)}) := by
rw [borel_eq_generateFrom_Ioi_rat, iUnion_singleton_eq_range, iUnion_singleton_eq_range]
refine le_antisymm (generateFrom_le ?_) (generateFrom_le ?_) <;>
rintro _ ⟨q, rfl⟩ <;>
dsimp only <;>
[rw [← compl_Iic]; rw [← compl_Ioi]] <;>
exact MeasurableSet.compl (GenerateMeasurable.basic _ (mem_range_self q))
theorem borel_eq_generateFrom_Ici_rat : borel ℝ = .generateFrom (⋃ a : ℚ, {Ici (a : ℝ)}) := by
rw [borel_eq_generateFrom_Iio_rat, iUnion_singleton_eq_range, iUnion_singleton_eq_range]
refine le_antisymm (generateFrom_le ?_) (generateFrom_le ?_) <;>
rintro _ ⟨q, rfl⟩ <;>
dsimp only <;>
[rw [← compl_Ici]; rw [← compl_Iio]] <;>
exact MeasurableSet.compl (GenerateMeasurable.basic _ (mem_range_self q))
theorem isPiSystem_Ioo_rat :
IsPiSystem (⋃ (a : ℚ) (b : ℚ) (_ : a < b), {Ioo (a : ℝ) (b : ℝ)}) := by
convert isPiSystem_Ioo ((↑) : ℚ → ℝ) ((↑) : ℚ → ℝ)
ext x
simp [eq_comm]
theorem isPiSystem_Iio_rat : IsPiSystem (⋃ a : ℚ, {Iio (a : ℝ)}) := by
convert isPiSystem_image_Iio (((↑) : ℚ → ℝ) '' univ)
ext x
simp only [iUnion_singleton_eq_range, mem_range, image_univ, mem_image, exists_exists_eq_and]
theorem isPiSystem_Ioi_rat : IsPiSystem (⋃ a : ℚ, {Ioi (a : ℝ)}) := by
convert isPiSystem_image_Ioi (((↑) : ℚ → ℝ) '' univ)
ext x
simp only [iUnion_singleton_eq_range, mem_range, image_univ, mem_image, exists_exists_eq_and]
theorem isPiSystem_Iic_rat : IsPiSystem (⋃ a : ℚ, {Iic (a : ℝ)}) := by
convert isPiSystem_image_Iic (((↑) : ℚ → ℝ) '' univ)
ext x
simp only [iUnion_singleton_eq_range, mem_range, image_univ, mem_image, exists_exists_eq_and]
theorem isPiSystem_Ici_rat : IsPiSystem (⋃ a : ℚ, {Ici (a : ℝ)}) := by
convert isPiSystem_image_Ici (((↑) : ℚ → ℝ) '' univ)
ext x
simp only [iUnion_singleton_eq_range, mem_range, image_univ, mem_image, exists_exists_eq_and]
/-- The intervals `(-(n + 1), (n + 1))` form a finite spanning sets in the set of open intervals
with rational endpoints for a locally finite measure `μ` on `ℝ`. -/
def finiteSpanningSetsInIooRat (μ : Measure ℝ) [IsLocallyFiniteMeasure μ] :
μ.FiniteSpanningSetsIn (⋃ (a : ℚ) (b : ℚ) (_ : a < b), {Ioo (a : ℝ) (b : ℝ)}) where
set n := Ioo (-(n + 1)) (n + 1)
set_mem n := by
simp only [mem_iUnion, mem_singleton_iff]
refine ⟨-(n + 1 : ℕ), n + 1, ?_, by simp⟩
-- TODO: norm_cast fails here?
push_cast
exact neg_lt_self n.cast_add_one_pos
finite _ := measure_Ioo_lt_top
spanning :=
iUnion_eq_univ_iff.2 fun x =>
⟨⌊|x|⌋₊, neg_lt.1 ((neg_le_abs x).trans_lt (Nat.lt_floor_add_one _)),
(le_abs_self x).trans_lt (Nat.lt_floor_add_one _)⟩
theorem measure_ext_Ioo_rat {μ ν : Measure ℝ} [IsLocallyFiniteMeasure μ]
(h : ∀ a b : ℚ, μ (Ioo a b) = ν (Ioo a b)) : μ = ν :=
(finiteSpanningSetsInIooRat μ).ext borel_eq_generateFrom_Ioo_rat isPiSystem_Ioo_rat <| by
simp only [mem_iUnion, mem_singleton_iff]
rintro _ ⟨a, b, -, rfl⟩
apply h
end Real
variable {mα : MeasurableSpace α}
@[measurability, fun_prop]
theorem measurable_real_toNNReal : Measurable Real.toNNReal :=
continuous_real_toNNReal.measurable
@[measurability, fun_prop]
theorem Measurable.real_toNNReal {f : α → ℝ} (hf : Measurable f) :
Measurable fun x => Real.toNNReal (f x) :=
measurable_real_toNNReal.comp hf
@[measurability, fun_prop]
theorem AEMeasurable.real_toNNReal {f : α → ℝ} {μ : Measure α} (hf : AEMeasurable f μ) :
AEMeasurable (fun x => Real.toNNReal (f x)) μ :=
measurable_real_toNNReal.comp_aemeasurable hf
@[measurability]
theorem measurable_coe_nnreal_real : Measurable ((↑) : ℝ≥0 → ℝ) :=
NNReal.continuous_coe.measurable
@[measurability, fun_prop]
theorem Measurable.coe_nnreal_real {f : α → ℝ≥0} (hf : Measurable f) :
Measurable fun x => (f x : ℝ) :=
measurable_coe_nnreal_real.comp hf
@[measurability, fun_prop]
theorem AEMeasurable.coe_nnreal_real {f : α → ℝ≥0} {μ : Measure α} (hf : AEMeasurable f μ) :
AEMeasurable (fun x => (f x : ℝ)) μ :=
measurable_coe_nnreal_real.comp_aemeasurable hf
@[measurability]
theorem measurable_coe_nnreal_ennreal : Measurable ((↑) : ℝ≥0 → ℝ≥0∞) :=
ENNReal.continuous_coe.measurable
@[measurability, fun_prop]
theorem Measurable.coe_nnreal_ennreal {f : α → ℝ≥0} (hf : Measurable f) :
Measurable fun x => (f x : ℝ≥0∞) :=
ENNReal.continuous_coe.measurable.comp hf
@[measurability, fun_prop]
theorem AEMeasurable.coe_nnreal_ennreal {f : α → ℝ≥0} {μ : Measure α} (hf : AEMeasurable f μ) :
AEMeasurable (fun x => (f x : ℝ≥0∞)) μ :=
ENNReal.continuous_coe.measurable.comp_aemeasurable hf
@[measurability, fun_prop]
theorem Measurable.ennreal_ofReal {f : α → ℝ} (hf : Measurable f) :
Measurable fun x => ENNReal.ofReal (f x) :=
ENNReal.continuous_ofReal.measurable.comp hf
@[measurability, fun_prop]
lemma AEMeasurable.ennreal_ofReal {f : α → ℝ} {μ : Measure α} (hf : AEMeasurable f μ) :
AEMeasurable (fun x ↦ ENNReal.ofReal (f x)) μ :=
ENNReal.continuous_ofReal.measurable.comp_aemeasurable hf
@[simp, norm_cast]
theorem measurable_coe_nnreal_real_iff {f : α → ℝ≥0} :
Measurable (fun x => f x : α → ℝ) ↔ Measurable f :=
⟨fun h => by simpa only [Real.toNNReal_coe] using h.real_toNNReal, Measurable.coe_nnreal_real⟩
@[simp, norm_cast]
theorem aemeasurable_coe_nnreal_real_iff {f : α → ℝ≥0} {μ : Measure α} :
AEMeasurable (fun x => f x : α → ℝ) μ ↔ AEMeasurable f μ :=
⟨fun h ↦ by simpa only [Real.toNNReal_coe] using h.real_toNNReal, AEMeasurable.coe_nnreal_real⟩
/-- The set of finite `ℝ≥0∞` numbers is `MeasurableEquiv` to `ℝ≥0`. -/
def MeasurableEquiv.ennrealEquivNNReal : { r : ℝ≥0∞ | r ≠ ∞ } ≃ᵐ ℝ≥0 :=
ENNReal.neTopHomeomorphNNReal.toMeasurableEquiv
namespace ENNReal
theorem measurable_of_measurable_nnreal {f : ℝ≥0∞ → α} (h : Measurable fun p : ℝ≥0 => f p) :
Measurable f :=
measurable_of_measurable_on_compl_singleton ∞
(MeasurableEquiv.ennrealEquivNNReal.symm.measurable_comp_iff.1 h)
/-- `ℝ≥0∞` is `MeasurableEquiv` to `ℝ≥0 ⊕ Unit`. -/
def ennrealEquivSum : ℝ≥0∞ ≃ᵐ ℝ≥0 ⊕ Unit :=
{ Equiv.optionEquivSumPUnit ℝ≥0 with
measurable_toFun := measurable_of_measurable_nnreal measurable_inl
measurable_invFun :=
measurable_sum measurable_coe_nnreal_ennreal (@measurable_const ℝ≥0∞ Unit _ _ ∞) }
open Function (uncurry)
theorem measurable_of_measurable_nnreal_prod {_ : MeasurableSpace β} {_ : MeasurableSpace γ}
{f : ℝ≥0∞ × β → γ} (H₁ : Measurable fun p : ℝ≥0 × β => f (p.1, p.2))
(H₂ : Measurable fun x => f (∞, x)) : Measurable f :=
let e : ℝ≥0∞ × β ≃ᵐ (ℝ≥0 × β) ⊕ (Unit × β) :=
(ennrealEquivSum.prodCongr (MeasurableEquiv.refl β)).trans
(MeasurableEquiv.sumProdDistrib _ _ _)
e.symm.measurable_comp_iff.1 <| measurable_sum H₁ (H₂.comp measurable_id.snd)
theorem measurable_of_measurable_nnreal_nnreal {_ : MeasurableSpace β} {f : ℝ≥0∞ × ℝ≥0∞ → β}
(h₁ : Measurable fun p : ℝ≥0 × ℝ≥0 => f (p.1, p.2)) (h₂ : Measurable fun r : ℝ≥0 => f (∞, r))
(h₃ : Measurable fun r : ℝ≥0 => f (r, ∞)) : Measurable f :=
measurable_of_measurable_nnreal_prod
(measurable_swap_iff.1 <| measurable_of_measurable_nnreal_prod (h₁.comp measurable_swap) h₃)
(measurable_of_measurable_nnreal h₂)
@[measurability]
theorem measurable_ofReal : Measurable ENNReal.ofReal :=
ENNReal.continuous_ofReal.measurable
@[measurability]
theorem measurable_toReal : Measurable ENNReal.toReal :=
ENNReal.measurable_of_measurable_nnreal measurable_coe_nnreal_real
@[measurability]
theorem measurable_toNNReal : Measurable ENNReal.toNNReal :=
ENNReal.measurable_of_measurable_nnreal measurable_id
instance instMeasurableMul₂ : MeasurableMul₂ ℝ≥0∞ := by
refine ⟨measurable_of_measurable_nnreal_nnreal ?_ ?_ ?_⟩
· simp only [← ENNReal.coe_mul, measurable_mul.coe_nnreal_ennreal]
· simp only [ENNReal.top_mul', ENNReal.coe_eq_zero]
exact measurable_const.piecewise (measurableSet_singleton _) measurable_const
· simp only [ENNReal.mul_top', ENNReal.coe_eq_zero]
exact measurable_const.piecewise (measurableSet_singleton _) measurable_const
instance instMeasurableSub₂ : MeasurableSub₂ ℝ≥0∞ :=
⟨by
apply measurable_of_measurable_nnreal_nnreal <;>
simp [← WithTop.coe_sub, tsub_eq_zero_of_le];
exact continuous_sub.measurable.coe_nnreal_ennreal⟩
instance instMeasurableInv : MeasurableInv ℝ≥0∞ :=
⟨continuous_inv.measurable⟩
instance : MeasurableSMul ℝ≥0 ℝ≥0∞ where
measurable_const_smul _ := by simp_rw [ENNReal.smul_def]; exact measurable_const_smul _
measurable_smul_const _ := by
simp_rw [ENNReal.smul_def]
exact measurable_coe_nnreal_ennreal.mul_const _
/-- A limit (over a general filter) of measurable `ℝ≥0∞` valued functions is measurable. -/
theorem measurable_of_tendsto' {ι : Type*} {f : ι → α → ℝ≥0∞} {g : α → ℝ≥0∞} (u : Filter ι)
[NeBot u] [IsCountablyGenerated u] (hf : ∀ i, Measurable (f i)) (lim : Tendsto f u (𝓝 g)) :
Measurable g := by
rcases u.exists_seq_tendsto with ⟨x, hx⟩
rw [tendsto_pi_nhds] at lim
have : (fun y => liminf (fun n => (f (x n) y : ℝ≥0∞)) atTop) = g := by
ext1 y
exact ((lim y).comp hx).liminf_eq
rw [← this]
show Measurable fun y => liminf (fun n => (f (x n) y : ℝ≥0∞)) atTop
exact .liminf fun n => hf (x n)
/-- A sequential limit of measurable `ℝ≥0∞` valued functions is measurable. -/
theorem measurable_of_tendsto {f : ℕ → α → ℝ≥0∞} {g : α → ℝ≥0∞} (hf : ∀ i, Measurable (f i))
(lim : Tendsto f atTop (𝓝 g)) : Measurable g :=
measurable_of_tendsto' atTop hf lim
/-- A limit (over a general filter) of a.e.-measurable `ℝ≥0∞` valued functions is
a.e.-measurable. -/
lemma aemeasurable_of_tendsto' {ι : Type*} {f : ι → α → ℝ≥0∞} {g : α → ℝ≥0∞}
{μ : Measure α} (u : Filter ι) [NeBot u] [IsCountablyGenerated u]
(hf : ∀ i, AEMeasurable (f i) μ) (hlim : ∀ᵐ a ∂μ, Tendsto (fun i ↦ f i a) u (𝓝 (g a))) :
AEMeasurable g μ := by
rcases u.exists_seq_tendsto with ⟨v, hv⟩
have h'f : ∀ n, AEMeasurable (f (v n)) μ := fun n ↦ hf (v n)
set p : α → (ℕ → ℝ≥0∞) → Prop := fun x f' ↦ Tendsto f' atTop (𝓝 (g x))
have hp : ∀ᵐ x ∂μ, p x fun n ↦ f (v n) x := by
filter_upwards [hlim] with x hx using hx.comp hv
classical
set aeSeqLim := fun x ↦ ite (x ∈ aeSeqSet h'f p) (g x) (⟨f (v 0) x⟩ : Nonempty ℝ≥0∞).some
| refine ⟨aeSeqLim, measurable_of_tendsto' atTop (aeSeq.measurable h'f p)
(tendsto_pi_nhds.mpr fun x ↦ ?_), ?_⟩
· unfold aeSeqLim
simp_rw [aeSeq]
split_ifs with hx
· simp_rw [aeSeq.mk_eq_fun_of_mem_aeSeqSet h'f hx]
exact aeSeq.fun_prop_of_mem_aeSeqSet h'f hx
· exact tendsto_const_nhds
· exact (ite_ae_eq_of_measure_compl_zero g (fun x ↦ (⟨f (v 0) x⟩ : Nonempty ℝ≥0∞).some)
(aeSeqSet h'f p) (aeSeq.measure_compl_aeSeqSet_eq_zero h'f hp)).symm
| Mathlib/MeasureTheory/Constructions/BorelSpace/Real.lean | 301 | 311 |
/-
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
/-!
# 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
-/
assert_not_exists RelIso
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 [Max α] [SDiff α] (a b : α) : α :=
a \ b ⊔ b \ a
/-- The Heyting bi-implication is `(b ⇨ a) ⊓ (a ⇨ b)`. This generalizes equivalence of
propositions. -/
def bihimp [Min α] [HImp α] (a b : α) : α :=
(b ⇨ a) ⊓ (a ⇨ b)
/-- Notation for symmDiff -/
scoped[symmDiff] infixl:100 " ∆ " => symmDiff
/-- Notation for bihimp -/
scoped[symmDiff] infixl:100 " ⇔ " => bihimp
open scoped symmDiff
theorem symmDiff_def [Max α] [SDiff α] (a b : α) : a ∆ b = a \ b ⊔ b \ a :=
rfl
theorem bihimp_def [Min α] [HImp α] (a b : α) : a ⇔ b = (b ⇨ a) ⊓ (a ⇨ b) :=
rfl
theorem symmDiff_eq_Xor' (p q : Prop) : p ∆ q = Xor' p q :=
rfl
@[simp]
theorem bihimp_iff_iff {p q : Prop} : p ⇔ q ↔ (p ↔ q) :=
iff_iff_implies_and_implies.symm.trans Iff.comm
@[simp]
theorem Bool.symmDiff_eq_xor : ∀ p q : Bool, p ∆ q = xor p q := by decide
section GeneralizedCoheytingAlgebra
variable [GeneralizedCoheytingAlgebra α] (a b c : α)
@[simp]
theorem toDual_symmDiff : toDual (a ∆ b) = toDual a ⇔ toDual b :=
rfl
@[simp]
theorem ofDual_bihimp (a b : αᵒᵈ) : ofDual (a ⇔ b) = ofDual a ∆ ofDual b :=
rfl
theorem symmDiff_comm : a ∆ b = b ∆ a := by simp only [symmDiff, sup_comm]
instance symmDiff_isCommutative : Std.Commutative (α := α) (· ∆ ·) :=
⟨symmDiff_comm⟩
@[simp]
theorem symmDiff_self : a ∆ a = ⊥ := by rw [symmDiff, sup_idem, sdiff_self]
@[simp]
theorem symmDiff_bot : a ∆ ⊥ = a := by rw [symmDiff, sdiff_bot, bot_sdiff, sup_bot_eq]
@[simp]
theorem bot_symmDiff : ⊥ ∆ a = a := by rw [symmDiff_comm, symmDiff_bot]
@[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]
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]
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]
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
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]
@[simp]
theorem symmDiff_le_sup {a b : α} : a ∆ b ≤ a ⊔ b :=
sup_le_sup sdiff_le sdiff_le
theorem symmDiff_eq_sup_sdiff_inf : a ∆ b = (a ⊔ b) \ (a ⊓ b) := by simp [sup_sdiff, symmDiff]
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]
theorem symmDiff_sdiff : a ∆ b \ c = a \ (b ⊔ c) ⊔ b \ (a ⊔ c) := by
rw [symmDiff, sup_sdiff_distrib, sdiff_sdiff_left, sdiff_sdiff_left]
@[simp]
theorem symmDiff_sdiff_inf : a ∆ b \ (a ⊓ b) = a ∆ b := by
rw [symmDiff_sdiff]
simp [symmDiff]
@[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)
@[simp]
theorem sdiff_symmDiff_eq_sup : (a \ b) ∆ b = a ⊔ b := by
rw [symmDiff_comm, symmDiff_sdiff_eq_sup, sup_comm]
@[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
@[simp]
theorem inf_sup_symmDiff : a ⊓ b ⊔ a ∆ b = a ⊔ b := by rw [sup_comm, symmDiff_sup_inf]
@[simp]
theorem symmDiff_symmDiff_inf : a ∆ b ∆ (a ⊓ b) = a ⊔ b := by
rw [← symmDiff_sdiff_inf a, sdiff_symmDiff_eq_sup, symmDiff_sup_inf]
@[simp]
theorem inf_symmDiff_symmDiff : (a ⊓ b) ∆ (a ∆ b) = a ⊔ b := by
rw [symmDiff_comm, symmDiff_symmDiff_inf]
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]
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 : α)
@[simp]
theorem toDual_bihimp : toDual (a ⇔ b) = toDual a ∆ toDual b :=
rfl
@[simp]
theorem ofDual_symmDiff (a b : αᵒᵈ) : ofDual (a ∆ b) = ofDual a ⇔ ofDual b :=
rfl
theorem bihimp_comm : a ⇔ b = b ⇔ a := by simp only [(· ⇔ ·), inf_comm]
instance bihimp_isCommutative : Std.Commutative (α := α) (· ⇔ ·) :=
⟨bihimp_comm⟩
@[simp]
theorem bihimp_self : a ⇔ a = ⊤ := by rw [bihimp, inf_idem, himp_self]
@[simp]
theorem bihimp_top : a ⇔ ⊤ = a := by rw [bihimp, himp_top, top_himp, inf_top_eq]
@[simp]
theorem top_bihimp : ⊤ ⇔ a = a := by rw [bihimp_comm, bihimp_top]
@[simp]
theorem bihimp_eq_top {a b : α} : a ⇔ b = ⊤ ↔ a = b :=
@symmDiff_eq_bot αᵒᵈ _ _ _
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]
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]
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
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]
@[simp]
theorem inf_le_bihimp {a b : α} : a ⊓ b ≤ a ⇔ b :=
inf_le_inf le_himp le_himp
theorem bihimp_eq_inf_himp_inf : a ⇔ b = a ⊔ b ⇨ a ⊓ b := by simp [himp_inf_distrib, bihimp]
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]
theorem himp_bihimp : a ⇨ b ⇔ c = (a ⊓ c ⇨ b) ⊓ (a ⊓ b ⇨ c) := by
rw [bihimp, himp_inf_distrib, himp_himp, himp_himp]
@[simp]
theorem sup_himp_bihimp : a ⊔ b ⇨ a ⇔ b = a ⇔ b := by
rw [himp_bihimp]
simp [bihimp]
@[simp]
theorem bihimp_himp_eq_inf : a ⇔ (a ⇨ b) = a ⊓ b :=
@symmDiff_sdiff_eq_sup αᵒᵈ _ _ _
@[simp]
theorem himp_bihimp_eq_inf : (b ⇨ a) ⇔ b = a ⊓ b :=
@sdiff_symmDiff_eq_sup αᵒᵈ _ _ _
@[simp]
theorem bihimp_inf_sup : a ⇔ b ⊓ (a ⊔ b) = a ⊓ b :=
@symmDiff_sup_inf αᵒᵈ _ _ _
@[simp]
theorem sup_inf_bihimp : (a ⊔ b) ⊓ a ⇔ b = a ⊓ b :=
@inf_sup_symmDiff αᵒᵈ _ _ _
@[simp]
theorem bihimp_bihimp_sup : a ⇔ b ⇔ (a ⊔ b) = a ⊓ b :=
@symmDiff_symmDiff_inf αᵒᵈ _ _ _
@[simp]
theorem sup_bihimp_bihimp : (a ⊔ b) ⇔ (a ⇔ b) = a ⊓ b :=
@inf_symmDiff_symmDiff αᵒᵈ _ _ _
theorem bihimp_triangle : a ⇔ b ⊓ b ⇔ c ≤ a ⇔ c :=
@symmDiff_triangle αᵒᵈ _ _ _ _
end GeneralizedHeytingAlgebra
section CoheytingAlgebra
variable [CoheytingAlgebra α] (a : α)
@[simp]
theorem symmDiff_top' : a ∆ ⊤ = ￢a := by simp [symmDiff]
@[simp]
theorem top_symmDiff' : ⊤ ∆ a = ￢a := by simp [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
@[simp]
theorem symmDiff_hnot_self : a ∆ (￢a) = ⊤ := by rw [symmDiff_comm, hnot_symmDiff_self]
theorem IsCompl.symmDiff_eq_top {a b : α} (h : IsCompl a b) : a ∆ b = ⊤ := by
rw [h.eq_hnot, hnot_symmDiff_self]
end CoheytingAlgebra
section HeytingAlgebra
variable [HeytingAlgebra α] (a : α)
@[simp]
theorem bihimp_bot : a ⇔ ⊥ = aᶜ := by simp [bihimp]
@[simp]
theorem bot_bihimp : ⊥ ⇔ a = aᶜ := by simp [bihimp]
@[simp]
theorem compl_bihimp_self : aᶜ ⇔ a = ⊥ :=
@hnot_symmDiff_self αᵒᵈ _ _
@[simp]
theorem bihimp_hnot_self : a ⇔ aᶜ = ⊥ :=
@symmDiff_hnot_self αᵒᵈ _ _
theorem IsCompl.bihimp_eq_bot {a b : α} (h : IsCompl a b) : a ⇔ b = ⊥ := by
rw [h.eq_compl, compl_bihimp_self]
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])
theorem disjoint_symmDiff_inf : Disjoint (a ∆ b) (a ⊓ b) := by
rw [symmDiff_eq_sup_sdiff_inf]
exact disjoint_sdiff_self_left
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]
theorem inf_symmDiff_distrib_right : a ∆ b ⊓ c = (a ⊓ c) ∆ (b ⊓ c) := by
simp_rw [inf_comm _ c, inf_symmDiff_distrib_left]
theorem sdiff_symmDiff : c \ a ∆ b = c ⊓ a ⊓ b ⊔ c \ a ⊓ c \ b := by
simp only [(· ∆ ·), sdiff_sdiff_sup_sdiff']
theorem sdiff_symmDiff' : c \ a ∆ b = c ⊓ a ⊓ b ⊔ c \ (a ⊔ b) := by
rw [sdiff_symmDiff, sdiff_sup]
@[simp]
theorem symmDiff_sdiff_left : a ∆ b \ a = b \ a := by
rw [symmDiff_def, sup_sdiff, sdiff_idem, sdiff_sdiff_self, bot_sup_eq]
@[simp]
theorem symmDiff_sdiff_right : a ∆ b \ b = a \ b := by rw [symmDiff_comm, symmDiff_sdiff_left]
@[simp]
theorem sdiff_symmDiff_left : a \ a ∆ b = a ⊓ b := by simp [sdiff_symmDiff]
@[simp]
theorem sdiff_symmDiff_right : b \ a ∆ b = a ⊓ b := by
rw [symmDiff_comm, inf_comm, sdiff_symmDiff_left]
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
@[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_right.1 <| inf_le_of_left_le h).le
@[simp]
theorem le_symmDiff_iff_right : b ≤ a ∆ b ↔ Disjoint a b := by
rw [symmDiff_comm, le_symmDiff_iff_left, disjoint_comm]
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
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
theorem symmDiff_assoc : a ∆ b ∆ c = a ∆ (b ∆ c) := by
rw [symmDiff_symmDiff_left, symmDiff_symmDiff_right]
instance symmDiff_isAssociative : Std.Associative (α := α) (· ∆ ·) :=
⟨symmDiff_assoc⟩
theorem symmDiff_left_comm : a ∆ (b ∆ c) = b ∆ (a ∆ c) := by
simp_rw [← symmDiff_assoc, symmDiff_comm]
theorem symmDiff_right_comm : a ∆ b ∆ c = a ∆ c ∆ b := by simp_rw [symmDiff_assoc, symmDiff_comm]
theorem symmDiff_symmDiff_symmDiff_comm : a ∆ b ∆ (c ∆ d) = a ∆ c ∆ (b ∆ d) := by
simp_rw [symmDiff_assoc, symmDiff_left_comm]
@[simp]
theorem symmDiff_symmDiff_cancel_left : a ∆ (a ∆ b) = b := by simp [← symmDiff_assoc]
@[simp]
theorem symmDiff_symmDiff_cancel_right : b ∆ a ∆ a = b := by simp [symmDiff_assoc]
@[simp]
theorem symmDiff_symmDiff_self' : a ∆ b ∆ a = b := by
rw [symmDiff_comm, symmDiff_symmDiff_cancel_left]
theorem symmDiff_left_involutive (a : α) : Involutive (· ∆ a) :=
symmDiff_symmDiff_cancel_right _
theorem symmDiff_right_involutive (a : α) : Involutive (a ∆ ·) :=
symmDiff_symmDiff_cancel_left _
theorem symmDiff_left_injective (a : α) : Injective (· ∆ a) :=
Function.Involutive.injective (symmDiff_left_involutive a)
theorem symmDiff_right_injective (a : α) : Injective (a ∆ ·) :=
Function.Involutive.injective (symmDiff_right_involutive _)
theorem symmDiff_left_surjective (a : α) : Surjective (· ∆ a) :=
Function.Involutive.surjective (symmDiff_left_involutive _)
theorem symmDiff_right_surjective (a : α) : Surjective (a ∆ ·) :=
Function.Involutive.surjective (symmDiff_right_involutive _)
variable {a b c}
@[simp]
theorem symmDiff_left_inj : a ∆ b = c ∆ b ↔ a = c :=
(symmDiff_left_injective _).eq_iff
@[simp]
theorem symmDiff_right_inj : a ∆ b = a ∆ c ↔ b = c :=
(symmDiff_right_injective _).eq_iff
@[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]
@[simp]
theorem symmDiff_eq_right : a ∆ b = b ↔ a = ⊥ := by rw [symmDiff_comm, symmDiff_eq_left]
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
protected theorem Disjoint.symmDiff_right (ha : Disjoint a b) (hb : Disjoint a c) :
Disjoint a (b ∆ c) :=
(ha.symm.symmDiff_left hb.symm).symm
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
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 _ _ _
theorem codisjoint_bihimp_sup : Codisjoint (a ⇔ b) (a ⊔ b) :=
@disjoint_symmDiff_inf αᵒᵈ _ _ _
@[simp]
theorem himp_bihimp_left : a ⇨ a ⇔ b = a ⇨ b :=
@symmDiff_sdiff_left αᵒᵈ _ _ _
@[simp]
theorem himp_bihimp_right : b ⇨ a ⇔ b = b ⇨ a :=
@symmDiff_sdiff_right αᵒᵈ _ _ _
@[simp]
theorem bihimp_himp_left : a ⇔ b ⇨ a = a ⊔ b :=
@sdiff_symmDiff_left αᵒᵈ _ _ _
@[simp]
theorem bihimp_himp_right : a ⇔ b ⇨ b = a ⊔ b :=
@sdiff_symmDiff_right αᵒᵈ _ _ _
@[simp]
theorem bihimp_eq_inf : a ⇔ b = a ⊓ b ↔ Codisjoint a b :=
| @symmDiff_eq_sup αᵒᵈ _ _ _
| Mathlib/Order/SymmDiff.lean | 507 | 508 |
/-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Johan Commelin, Mario Carneiro
-/
import Mathlib.Algebra.Algebra.Subalgebra.Lattice
import Mathlib.Algebra.Algebra.Tower
import Mathlib.Algebra.GroupWithZero.Divisibility
import Mathlib.Algebra.MonoidAlgebra.Basic
import Mathlib.Algebra.MonoidAlgebra.Support
import Mathlib.Algebra.Regular.Pow
import Mathlib.Data.Finsupp.Antidiagonal
import Mathlib.Order.SymmDiff
/-!
# Multivariate polynomials
This file defines polynomial rings over a base ring (or even semiring),
with variables from a general type `σ` (which could be infinite).
## Important definitions
Let `R` be a commutative ring (or a semiring) and let `σ` be an arbitrary
type. This file creates the type `MvPolynomial σ R`, which mathematicians
might denote $R[X_i : i \in σ]$. It is the type of multivariate
(a.k.a. multivariable) polynomials, with variables
corresponding to the terms in `σ`, and coefficients in `R`.
### Notation
In the definitions below, we use the following notation:
+ `σ : Type*` (indexing the variables)
+ `R : Type*` `[CommSemiring R]` (the coefficients)
+ `s : σ →₀ ℕ`, a function from `σ` to `ℕ` which is zero away from a finite set.
This will give rise to a monomial in `MvPolynomial σ R` which mathematicians might call `X^s`
+ `a : R`
+ `i : σ`, with corresponding monomial `X i`, often denoted `X_i` by mathematicians
+ `p : MvPolynomial σ R`
### Definitions
* `MvPolynomial σ R` : the type of polynomials with variables of type `σ` and coefficients
in the commutative semiring `R`
* `monomial s a` : the monomial which mathematically would be denoted `a * X^s`
* `C a` : the constant polynomial with value `a`
* `X i` : the degree one monomial corresponding to i; mathematically this might be denoted `Xᵢ`.
* `coeff s p` : the coefficient of `s` in `p`.
## Implementation notes
Recall that if `Y` has a zero, then `X →₀ Y` is the type of functions from `X` to `Y` with finite
support, i.e. such that only finitely many elements of `X` get sent to non-zero terms in `Y`.
The definition of `MvPolynomial σ R` is `(σ →₀ ℕ) →₀ R`; here `σ →₀ ℕ` denotes the space of all
monomials in the variables, and the function to `R` sends a monomial to its coefficient in
the polynomial being represented.
## Tags
polynomial, multivariate polynomial, multivariable polynomial
-/
noncomputable section
open Set Function Finsupp AddMonoidAlgebra
open scoped Pointwise
universe u v w x
variable {R : Type u} {S₁ : Type v} {S₂ : Type w} {S₃ : Type x}
/-- Multivariate polynomial, where `σ` is the index set of the variables and
`R` is the coefficient ring -/
def MvPolynomial (σ : Type*) (R : Type*) [CommSemiring R] :=
AddMonoidAlgebra R (σ →₀ ℕ)
namespace MvPolynomial
-- Porting note: because of `MvPolynomial.C` and `MvPolynomial.X` this linter throws
-- tons of warnings in this file, and it's easier to just disable them globally in the file
variable {σ : Type*} {a a' a₁ a₂ : R} {e : ℕ} {n m : σ} {s : σ →₀ ℕ}
section CommSemiring
section Instances
instance decidableEqMvPolynomial [CommSemiring R] [DecidableEq σ] [DecidableEq R] :
DecidableEq (MvPolynomial σ R) :=
Finsupp.instDecidableEq
instance commSemiring [CommSemiring R] : CommSemiring (MvPolynomial σ R) :=
AddMonoidAlgebra.commSemiring
instance inhabited [CommSemiring R] : Inhabited (MvPolynomial σ R) :=
⟨0⟩
instance distribuMulAction [Monoid R] [CommSemiring S₁] [DistribMulAction R S₁] :
DistribMulAction R (MvPolynomial σ S₁) :=
AddMonoidAlgebra.distribMulAction
instance smulZeroClass [CommSemiring S₁] [SMulZeroClass R S₁] :
SMulZeroClass R (MvPolynomial σ S₁) :=
AddMonoidAlgebra.smulZeroClass
instance faithfulSMul [CommSemiring S₁] [SMulZeroClass R S₁] [FaithfulSMul R S₁] :
FaithfulSMul R (MvPolynomial σ S₁) :=
AddMonoidAlgebra.faithfulSMul
instance module [Semiring R] [CommSemiring S₁] [Module R S₁] : Module R (MvPolynomial σ S₁) :=
AddMonoidAlgebra.module
instance isScalarTower [CommSemiring S₂] [SMul R S₁] [SMulZeroClass R S₂] [SMulZeroClass S₁ S₂]
[IsScalarTower R S₁ S₂] : IsScalarTower R S₁ (MvPolynomial σ S₂) :=
AddMonoidAlgebra.isScalarTower
instance smulCommClass [CommSemiring S₂] [SMulZeroClass R S₂] [SMulZeroClass S₁ S₂]
[SMulCommClass R S₁ S₂] : SMulCommClass R S₁ (MvPolynomial σ S₂) :=
AddMonoidAlgebra.smulCommClass
instance isCentralScalar [CommSemiring S₁] [SMulZeroClass R S₁] [SMulZeroClass Rᵐᵒᵖ S₁]
[IsCentralScalar R S₁] : IsCentralScalar R (MvPolynomial σ S₁) :=
AddMonoidAlgebra.isCentralScalar
instance algebra [CommSemiring R] [CommSemiring S₁] [Algebra R S₁] :
Algebra R (MvPolynomial σ S₁) :=
AddMonoidAlgebra.algebra
instance isScalarTower_right [CommSemiring S₁] [DistribSMul R S₁] [IsScalarTower R S₁ S₁] :
IsScalarTower R (MvPolynomial σ S₁) (MvPolynomial σ S₁) :=
AddMonoidAlgebra.isScalarTower_self _
instance smulCommClass_right [CommSemiring S₁] [DistribSMul R S₁] [SMulCommClass R S₁ S₁] :
SMulCommClass R (MvPolynomial σ S₁) (MvPolynomial σ S₁) :=
AddMonoidAlgebra.smulCommClass_self _
/-- If `R` is a subsingleton, then `MvPolynomial σ R` has a unique element -/
instance unique [CommSemiring R] [Subsingleton R] : Unique (MvPolynomial σ R) :=
AddMonoidAlgebra.unique
end Instances
variable [CommSemiring R] [CommSemiring S₁] {p q : MvPolynomial σ R}
/-- `monomial s a` is the monomial with coefficient `a` and exponents given by `s` -/
def monomial (s : σ →₀ ℕ) : R →ₗ[R] MvPolynomial σ R :=
AddMonoidAlgebra.lsingle s
theorem one_def : (1 : MvPolynomial σ R) = monomial 0 1 := rfl
theorem single_eq_monomial (s : σ →₀ ℕ) (a : R) : Finsupp.single s a = monomial s a :=
rfl
theorem mul_def : p * q = p.sum fun m a => q.sum fun n b => monomial (m + n) (a * b) :=
AddMonoidAlgebra.mul_def
/-- `C a` is the constant polynomial with value `a` -/
def C : R →+* MvPolynomial σ R :=
{ singleZeroRingHom with toFun := monomial 0 }
variable (R σ)
@[simp]
theorem algebraMap_eq : algebraMap R (MvPolynomial σ R) = C :=
rfl
variable {R σ}
/-- `X n` is the degree `1` monomial $X_n$. -/
def X (n : σ) : MvPolynomial σ R :=
monomial (Finsupp.single n 1) 1
theorem monomial_left_injective {r : R} (hr : r ≠ 0) :
Function.Injective fun s : σ →₀ ℕ => monomial s r :=
Finsupp.single_left_injective hr
@[simp]
theorem monomial_left_inj {s t : σ →₀ ℕ} {r : R} (hr : r ≠ 0) :
monomial s r = monomial t r ↔ s = t :=
Finsupp.single_left_inj hr
theorem C_apply : (C a : MvPolynomial σ R) = monomial 0 a :=
rfl
@[simp]
theorem C_0 : C 0 = (0 : MvPolynomial σ R) := map_zero _
@[simp]
theorem C_1 : C 1 = (1 : MvPolynomial σ R) :=
rfl
theorem C_mul_monomial : C a * monomial s a' = monomial s (a * a') := by
-- Porting note: this `show` feels like defeq abuse, but I can't find the appropriate lemmas
show AddMonoidAlgebra.single _ _ * AddMonoidAlgebra.single _ _ = AddMonoidAlgebra.single _ _
simp [C_apply, single_mul_single]
@[simp]
theorem C_add : (C (a + a') : MvPolynomial σ R) = C a + C a' :=
Finsupp.single_add _ _ _
@[simp]
theorem C_mul : (C (a * a') : MvPolynomial σ R) = C a * C a' :=
C_mul_monomial.symm
@[simp]
theorem C_pow (a : R) (n : ℕ) : (C (a ^ n) : MvPolynomial σ R) = C a ^ n :=
map_pow _ _ _
theorem C_injective (σ : Type*) (R : Type*) [CommSemiring R] :
Function.Injective (C : R → MvPolynomial σ R) :=
Finsupp.single_injective _
theorem C_surjective {R : Type*} [CommSemiring R] (σ : Type*) [IsEmpty σ] :
Function.Surjective (C : R → MvPolynomial σ R) := by
refine fun p => ⟨p.toFun 0, Finsupp.ext fun a => ?_⟩
simp only [C_apply, ← single_eq_monomial, (Finsupp.ext isEmptyElim (α := σ) : a = 0),
single_eq_same]
rfl
@[simp]
theorem C_inj {σ : Type*} (R : Type*) [CommSemiring R] (r s : R) :
(C r : MvPolynomial σ R) = C s ↔ r = s :=
(C_injective σ R).eq_iff
@[simp] lemma C_eq_zero : (C a : MvPolynomial σ R) = 0 ↔ a = 0 := by rw [← map_zero C, C_inj]
lemma C_ne_zero : (C a : MvPolynomial σ R) ≠ 0 ↔ a ≠ 0 :=
C_eq_zero.ne
instance nontrivial_of_nontrivial (σ : Type*) (R : Type*) [CommSemiring R] [Nontrivial R] :
Nontrivial (MvPolynomial σ R) :=
inferInstanceAs (Nontrivial <| AddMonoidAlgebra R (σ →₀ ℕ))
instance infinite_of_infinite (σ : Type*) (R : Type*) [CommSemiring R] [Infinite R] :
Infinite (MvPolynomial σ R) :=
Infinite.of_injective C (C_injective _ _)
instance infinite_of_nonempty (σ : Type*) (R : Type*) [Nonempty σ] [CommSemiring R]
[Nontrivial R] : Infinite (MvPolynomial σ R) :=
Infinite.of_injective ((fun s : σ →₀ ℕ => monomial s 1) ∘ Finsupp.single (Classical.arbitrary σ))
<| (monomial_left_injective one_ne_zero).comp (Finsupp.single_injective _)
theorem C_eq_coe_nat (n : ℕ) : (C ↑n : MvPolynomial σ R) = n := by
induction n <;> simp [*]
theorem C_mul' : MvPolynomial.C a * p = a • p :=
(Algebra.smul_def a p).symm
theorem smul_eq_C_mul (p : MvPolynomial σ R) (a : R) : a • p = C a * p :=
C_mul'.symm
theorem C_eq_smul_one : (C a : MvPolynomial σ R) = a • (1 : MvPolynomial σ R) := by
rw [← C_mul', mul_one]
theorem smul_monomial {S₁ : Type*} [SMulZeroClass S₁ R] (r : S₁) :
r • monomial s a = monomial s (r • a) :=
Finsupp.smul_single _ _ _
theorem X_injective [Nontrivial R] : Function.Injective (X : σ → MvPolynomial σ R) :=
(monomial_left_injective one_ne_zero).comp (Finsupp.single_left_injective one_ne_zero)
@[simp]
theorem X_inj [Nontrivial R] (m n : σ) : X m = (X n : MvPolynomial σ R) ↔ m = n :=
X_injective.eq_iff
theorem monomial_pow : monomial s a ^ e = monomial (e • s) (a ^ e) :=
AddMonoidAlgebra.single_pow e
@[simp]
theorem monomial_mul {s s' : σ →₀ ℕ} {a b : R} :
monomial s a * monomial s' b = monomial (s + s') (a * b) :=
AddMonoidAlgebra.single_mul_single
variable (σ R)
/-- `fun s ↦ monomial s 1` as a homomorphism. -/
def monomialOneHom : Multiplicative (σ →₀ ℕ) →* MvPolynomial σ R :=
AddMonoidAlgebra.of _ _
variable {σ R}
@[simp]
theorem monomialOneHom_apply : monomialOneHom R σ s = (monomial s 1 : MvPolynomial σ R) :=
rfl
theorem X_pow_eq_monomial : X n ^ e = monomial (Finsupp.single n e) (1 : R) := by
simp [X, monomial_pow]
theorem monomial_add_single : monomial (s + Finsupp.single n e) a = monomial s a * X n ^ e := by
rw [X_pow_eq_monomial, monomial_mul, mul_one]
theorem monomial_single_add : monomial (Finsupp.single n e + s) a = X n ^ e * monomial s a := by
rw [X_pow_eq_monomial, monomial_mul, one_mul]
theorem C_mul_X_pow_eq_monomial {s : σ} {a : R} {n : ℕ} :
C a * X s ^ n = monomial (Finsupp.single s n) a := by
rw [← zero_add (Finsupp.single s n), monomial_add_single, C_apply]
theorem C_mul_X_eq_monomial {s : σ} {a : R} : C a * X s = monomial (Finsupp.single s 1) a := by
rw [← C_mul_X_pow_eq_monomial, pow_one]
@[simp]
theorem monomial_zero {s : σ →₀ ℕ} : monomial s (0 : R) = 0 :=
Finsupp.single_zero _
@[simp]
theorem monomial_zero' : (monomial (0 : σ →₀ ℕ) : R → MvPolynomial σ R) = C :=
rfl
@[simp]
theorem monomial_eq_zero {s : σ →₀ ℕ} {b : R} : monomial s b = 0 ↔ b = 0 :=
Finsupp.single_eq_zero
@[simp]
theorem sum_monomial_eq {A : Type*} [AddCommMonoid A] {u : σ →₀ ℕ} {r : R} {b : (σ →₀ ℕ) → R → A}
(w : b u 0 = 0) : sum (monomial u r) b = b u r :=
Finsupp.sum_single_index w
@[simp]
theorem sum_C {A : Type*} [AddCommMonoid A] {b : (σ →₀ ℕ) → R → A} (w : b 0 0 = 0) :
sum (C a) b = b 0 a :=
sum_monomial_eq w
theorem monomial_sum_one {α : Type*} (s : Finset α) (f : α → σ →₀ ℕ) :
(monomial (∑ i ∈ s, f i) 1 : MvPolynomial σ R) = ∏ i ∈ s, monomial (f i) 1 :=
map_prod (monomialOneHom R σ) (fun i => Multiplicative.ofAdd (f i)) s
theorem monomial_sum_index {α : Type*} (s : Finset α) (f : α → σ →₀ ℕ) (a : R) :
monomial (∑ i ∈ s, f i) a = C a * ∏ i ∈ s, monomial (f i) 1 := by
rw [← monomial_sum_one, C_mul', ← (monomial _).map_smul, smul_eq_mul, mul_one]
theorem monomial_finsupp_sum_index {α β : Type*} [Zero β] (f : α →₀ β) (g : α → β → σ →₀ ℕ)
(a : R) : monomial (f.sum g) a = C a * f.prod fun a b => monomial (g a b) 1 :=
monomial_sum_index _ _ _
theorem monomial_eq_monomial_iff {α : Type*} (a₁ a₂ : α →₀ ℕ) (b₁ b₂ : R) :
monomial a₁ b₁ = monomial a₂ b₂ ↔ a₁ = a₂ ∧ b₁ = b₂ ∨ b₁ = 0 ∧ b₂ = 0 :=
Finsupp.single_eq_single_iff _ _ _ _
theorem monomial_eq : monomial s a = C a * (s.prod fun n e => X n ^ e : MvPolynomial σ R) := by
simp only [X_pow_eq_monomial, ← monomial_finsupp_sum_index, Finsupp.sum_single]
@[simp]
lemma prod_X_pow_eq_monomial : ∏ x ∈ s.support, X x ^ s x = monomial s (1 : R) := by
simp only [monomial_eq, map_one, one_mul, Finsupp.prod]
@[elab_as_elim]
theorem induction_on_monomial {motive : MvPolynomial σ R → Prop}
(C : ∀ a, motive (C a))
(mul_X : ∀ p n, motive p → motive (p * X n)) : ∀ s a, motive (monomial s a) := by
intro s a
apply @Finsupp.induction σ ℕ _ _ s
· show motive (monomial 0 a)
exact C a
· intro n e p _hpn _he ih
have : ∀ e : ℕ, motive (monomial p a * X n ^ e) := by
intro e
induction e with
| zero => simp [ih]
| succ e e_ih => simp [ih, pow_succ, (mul_assoc _ _ _).symm, mul_X, e_ih]
simp [add_comm, monomial_add_single, this]
/-- Analog of `Polynomial.induction_on'`.
To prove something about mv_polynomials,
it suffices to show the condition is closed under taking sums,
and it holds for monomials. -/
@[elab_as_elim]
theorem induction_on' {P : MvPolynomial σ R → Prop} (p : MvPolynomial σ R)
(monomial : ∀ (u : σ →₀ ℕ) (a : R), P (monomial u a))
(add : ∀ p q : MvPolynomial σ R, P p → P q → P (p + q)) : P p :=
Finsupp.induction p
(suffices P (MvPolynomial.monomial 0 0) by rwa [monomial_zero] at this
show P (MvPolynomial.monomial 0 0) from monomial 0 0)
fun _ _ _ _ha _hb hPf => add _ _ (monomial _ _) hPf
/--
Similar to `MvPolynomial.induction_on` but only a weak form of `h_add` is required.
In particular, this version only requires us to show
that `motive` is closed under addition of nontrivial monomials not present in the support.
-/
@[elab_as_elim]
theorem monomial_add_induction_on {motive : MvPolynomial σ R → Prop} (p : MvPolynomial σ R)
(C : ∀ a, motive (C a))
(monomial_add :
∀ (a : σ →₀ ℕ) (b : R) (f : MvPolynomial σ R),
a ∉ f.support → b ≠ 0 → motive f → motive ((monomial a b) + f)) :
motive p :=
Finsupp.induction p (C_0.rec <| C 0) monomial_add
@[deprecated (since := "2025-03-11")]
alias induction_on''' := monomial_add_induction_on
/--
Similar to `MvPolynomial.induction_on` but only a yet weaker form of `h_add` is required.
In particular, this version only requires us to show
that `motive` is closed under addition of monomials not present in the support
for which `motive` is already known to hold.
-/
theorem induction_on'' {motive : MvPolynomial σ R → Prop} (p : MvPolynomial σ R)
(C : ∀ a, motive (C a))
(monomial_add :
∀ (a : σ →₀ ℕ) (b : R) (f : MvPolynomial σ R),
a ∉ f.support → b ≠ 0 → motive f → motive (monomial a b) →
motive ((monomial a b) + f))
(mul_X : ∀ (p : MvPolynomial σ R) (n : σ), motive p → motive (p * MvPolynomial.X n)) :
motive p :=
monomial_add_induction_on p C fun a b f ha hb hf =>
monomial_add a b f ha hb hf <| induction_on_monomial C mul_X a b
/--
Analog of `Polynomial.induction_on`.
If a property holds for any constant polynomial
and is preserved under addition and multiplication by variables
then it holds for all multivariate polynomials.
-/
@[recursor 5]
theorem induction_on {motive : MvPolynomial σ R → Prop} (p : MvPolynomial σ R)
(C : ∀ a, motive (C a))
(add : ∀ p q, motive p → motive q → motive (p + q))
(mul_X : ∀ p n, motive p → motive (p * X n)) : motive p :=
induction_on'' p C (fun a b f _ha _hb hf hm => add (monomial a b) f hm hf) mul_X
theorem ringHom_ext {A : Type*} [Semiring A] {f g : MvPolynomial σ R →+* A}
(hC : ∀ r, f (C r) = g (C r)) (hX : ∀ i, f (X i) = g (X i)) : f = g := by
refine AddMonoidAlgebra.ringHom_ext' ?_ ?_
-- Porting note (https://github.com/leanprover-community/mathlib4/issues/11041): this has high priority, but Lean still chooses `RingHom.ext`, why?
-- probably because of the type synonym
· ext x
exact hC _
· apply Finsupp.mulHom_ext'; intros x
-- Porting note (https://github.com/leanprover-community/mathlib4/issues/11041): `Finsupp.mulHom_ext'` needs to have increased priority
apply MonoidHom.ext_mnat
exact hX _
/-- See note [partially-applied ext lemmas]. -/
@[ext 1100]
theorem ringHom_ext' {A : Type*} [Semiring A] {f g : MvPolynomial σ R →+* A}
(hC : f.comp C = g.comp C) (hX : ∀ i, f (X i) = g (X i)) : f = g :=
ringHom_ext (RingHom.ext_iff.1 hC) hX
theorem hom_eq_hom [Semiring S₂] (f g : MvPolynomial σ R →+* S₂) (hC : f.comp C = g.comp C)
(hX : ∀ n : σ, f (X n) = g (X n)) (p : MvPolynomial σ R) : f p = g p :=
RingHom.congr_fun (ringHom_ext' hC hX) p
theorem is_id (f : MvPolynomial σ R →+* MvPolynomial σ R) (hC : f.comp C = C)
(hX : ∀ n : σ, f (X n) = X n) (p : MvPolynomial σ R) : f p = p :=
hom_eq_hom f (RingHom.id _) hC hX p
@[ext 1100]
theorem algHom_ext' {A B : Type*} [CommSemiring A] [CommSemiring B] [Algebra R A] [Algebra R B]
{f g : MvPolynomial σ A →ₐ[R] B}
(h₁ :
f.comp (IsScalarTower.toAlgHom R A (MvPolynomial σ A)) =
g.comp (IsScalarTower.toAlgHom R A (MvPolynomial σ A)))
(h₂ : ∀ i, f (X i) = g (X i)) : f = g :=
AlgHom.coe_ringHom_injective (MvPolynomial.ringHom_ext' (congr_arg AlgHom.toRingHom h₁) h₂)
@[ext 1200]
theorem algHom_ext {A : Type*} [Semiring A] [Algebra R A] {f g : MvPolynomial σ R →ₐ[R] A}
(hf : ∀ i : σ, f (X i) = g (X i)) : f = g :=
AddMonoidAlgebra.algHom_ext' (mulHom_ext' fun X : σ => MonoidHom.ext_mnat (hf X))
@[simp]
theorem algHom_C {A : Type*} [Semiring A] [Algebra R A] (f : MvPolynomial σ R →ₐ[R] A) (r : R) :
f (C r) = algebraMap R A r :=
f.commutes r
@[simp]
theorem adjoin_range_X : Algebra.adjoin R (range (X : σ → MvPolynomial σ R)) = ⊤ := by
set S := Algebra.adjoin R (range (X : σ → MvPolynomial σ R))
refine top_unique fun p hp => ?_; clear hp
induction p using MvPolynomial.induction_on with
| C => exact S.algebraMap_mem _
| add p q hp hq => exact S.add_mem hp hq
| mul_X p i hp => exact S.mul_mem hp (Algebra.subset_adjoin <| mem_range_self _)
@[ext]
theorem linearMap_ext {M : Type*} [AddCommMonoid M] [Module R M] {f g : MvPolynomial σ R →ₗ[R] M}
(h : ∀ s, f ∘ₗ monomial s = g ∘ₗ monomial s) : f = g :=
Finsupp.lhom_ext' h
section Support
/-- The finite set of all `m : σ →₀ ℕ` such that `X^m` has a non-zero coefficient. -/
def support (p : MvPolynomial σ R) : Finset (σ →₀ ℕ) :=
Finsupp.support p
theorem finsupp_support_eq_support (p : MvPolynomial σ R) : Finsupp.support p = p.support :=
rfl
theorem support_monomial [h : Decidable (a = 0)] :
(monomial s a).support = if a = 0 then ∅ else {s} := by
rw [← Subsingleton.elim (Classical.decEq R a 0) h]
rfl
theorem support_monomial_subset : (monomial s a).support ⊆ {s} :=
support_single_subset
theorem support_add [DecidableEq σ] : (p + q).support ⊆ p.support ∪ q.support :=
Finsupp.support_add
theorem support_X [Nontrivial R] : (X n : MvPolynomial σ R).support = {Finsupp.single n 1} := by
classical rw [X, support_monomial, if_neg]; exact one_ne_zero
theorem support_X_pow [Nontrivial R] (s : σ) (n : ℕ) :
(X s ^ n : MvPolynomial σ R).support = {Finsupp.single s n} := by
classical
rw [X_pow_eq_monomial, support_monomial, if_neg (one_ne_zero' R)]
@[simp]
theorem support_zero : (0 : MvPolynomial σ R).support = ∅ :=
rfl
theorem support_smul {S₁ : Type*} [SMulZeroClass S₁ R] {a : S₁} {f : MvPolynomial σ R} :
(a • f).support ⊆ f.support :=
Finsupp.support_smul
theorem support_sum {α : Type*} [DecidableEq σ] {s : Finset α} {f : α → MvPolynomial σ R} :
(∑ x ∈ s, f x).support ⊆ s.biUnion fun x => (f x).support :=
Finsupp.support_finset_sum
end Support
section Coeff
/-- The coefficient of the monomial `m` in the multi-variable polynomial `p`. -/
def coeff (m : σ →₀ ℕ) (p : MvPolynomial σ R) : R :=
@DFunLike.coe ((σ →₀ ℕ) →₀ R) _ _ _ p m
@[simp]
theorem mem_support_iff {p : MvPolynomial σ R} {m : σ →₀ ℕ} : m ∈ p.support ↔ p.coeff m ≠ 0 := by
simp [support, coeff]
theorem not_mem_support_iff {p : MvPolynomial σ R} {m : σ →₀ ℕ} : m ∉ p.support ↔ p.coeff m = 0 :=
by simp
theorem sum_def {A} [AddCommMonoid A] {p : MvPolynomial σ R} {b : (σ →₀ ℕ) → R → A} :
p.sum b = ∑ m ∈ p.support, b m (p.coeff m) := by simp [support, Finsupp.sum, coeff]
theorem support_mul [DecidableEq σ] (p q : MvPolynomial σ R) :
(p * q).support ⊆ p.support + q.support :=
AddMonoidAlgebra.support_mul p q
@[ext]
theorem ext (p q : MvPolynomial σ R) : (∀ m, coeff m p = coeff m q) → p = q :=
Finsupp.ext
@[simp]
theorem coeff_add (m : σ →₀ ℕ) (p q : MvPolynomial σ R) : coeff m (p + q) = coeff m p + coeff m q :=
add_apply p q m
@[simp]
theorem coeff_smul {S₁ : Type*} [SMulZeroClass S₁ R] (m : σ →₀ ℕ) (C : S₁) (p : MvPolynomial σ R) :
coeff m (C • p) = C • coeff m p :=
smul_apply C p m
@[simp]
theorem coeff_zero (m : σ →₀ ℕ) : coeff m (0 : MvPolynomial σ R) = 0 :=
rfl
@[simp]
theorem coeff_zero_X (i : σ) : coeff 0 (X i : MvPolynomial σ R) = 0 :=
single_eq_of_ne fun h => by cases Finsupp.single_eq_zero.1 h
/-- `MvPolynomial.coeff m` but promoted to an `AddMonoidHom`. -/
@[simps]
def coeffAddMonoidHom (m : σ →₀ ℕ) : MvPolynomial σ R →+ R where
toFun := coeff m
map_zero' := coeff_zero m
map_add' := coeff_add m
variable (R) in
/-- `MvPolynomial.coeff m` but promoted to a `LinearMap`. -/
@[simps]
def lcoeff (m : σ →₀ ℕ) : MvPolynomial σ R →ₗ[R] R where
toFun := coeff m
map_add' := coeff_add m
map_smul' := coeff_smul m
theorem coeff_sum {X : Type*} (s : Finset X) (f : X → MvPolynomial σ R) (m : σ →₀ ℕ) :
coeff m (∑ x ∈ s, f x) = ∑ x ∈ s, coeff m (f x) :=
map_sum (@coeffAddMonoidHom R σ _ _) _ s
theorem monic_monomial_eq (m) :
monomial m (1 : R) = (m.prod fun n e => X n ^ e : MvPolynomial σ R) := by simp [monomial_eq]
@[simp]
theorem coeff_monomial [DecidableEq σ] (m n) (a) :
coeff m (monomial n a : MvPolynomial σ R) = if n = m then a else 0 :=
Finsupp.single_apply
@[simp]
theorem coeff_C [DecidableEq σ] (m) (a) :
coeff m (C a : MvPolynomial σ R) = if 0 = m then a else 0 :=
Finsupp.single_apply
lemma eq_C_of_isEmpty [IsEmpty σ] (p : MvPolynomial σ R) :
p = C (p.coeff 0) := by
obtain ⟨x, rfl⟩ := C_surjective σ p
simp
theorem coeff_one [DecidableEq σ] (m) : coeff m (1 : MvPolynomial σ R) = if 0 = m then 1 else 0 :=
coeff_C m 1
@[simp]
theorem coeff_zero_C (a) : coeff 0 (C a : MvPolynomial σ R) = a :=
single_eq_same
@[simp]
theorem coeff_zero_one : coeff 0 (1 : MvPolynomial σ R) = 1 :=
coeff_zero_C 1
theorem coeff_X_pow [DecidableEq σ] (i : σ) (m) (k : ℕ) :
coeff m (X i ^ k : MvPolynomial σ R) = if Finsupp.single i k = m then 1 else 0 := by
have := coeff_monomial m (Finsupp.single i k) (1 : R)
rwa [@monomial_eq _ _ (1 : R) (Finsupp.single i k) _, C_1, one_mul, Finsupp.prod_single_index]
at this
exact pow_zero _
theorem coeff_X' [DecidableEq σ] (i : σ) (m) :
coeff m (X i : MvPolynomial σ R) = if Finsupp.single i 1 = m then 1 else 0 := by
rw [← coeff_X_pow, pow_one]
@[simp]
theorem coeff_X (i : σ) : coeff (Finsupp.single i 1) (X i : MvPolynomial σ R) = 1 := by
classical rw [coeff_X', if_pos rfl]
@[simp]
theorem coeff_C_mul (m) (a : R) (p : MvPolynomial σ R) : coeff m (C a * p) = a * coeff m p := by
classical
rw [mul_def, sum_C]
· simp +contextual [sum_def, coeff_sum]
simp
|
theorem coeff_mul [DecidableEq σ] (p q : MvPolynomial σ R) (n : σ →₀ ℕ) :
| Mathlib/Algebra/MvPolynomial/Basic.lean | 635 | 636 |
/-
Copyright (c) 2021 Bhavik Mehta. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Bhavik Mehta
-/
import Mathlib.CategoryTheory.Limits.Preserves.Shapes.BinaryProducts
import Mathlib.CategoryTheory.Limits.Preserves.Shapes.Terminal
import Mathlib.CategoryTheory.Limits.Constructions.FiniteProductsOfBinaryProducts
import Mathlib.CategoryTheory.Monad.Limits
import Mathlib.CategoryTheory.Adjunction.FullyFaithful
import Mathlib.CategoryTheory.Adjunction.Limits
import Mathlib.CategoryTheory.Adjunction.Reflective
import Mathlib.CategoryTheory.Closed.Cartesian
import Mathlib.CategoryTheory.Subterminal
/-!
# Exponential ideals
An exponential ideal of a cartesian closed category `C` is a subcategory `D ⊆ C` such that for any
`B : D` and `A : C`, the exponential `A ⟹ B` is in `D`: resembling ring theoretic ideals. We
define the notion here for inclusion functors `i : D ⥤ C` rather than explicit subcategories to
preserve the principle of equivalence.
We additionally show that if `C` is cartesian closed and `i : D ⥤ C` is a reflective functor, the
following are equivalent.
* The left adjoint to `i` preserves binary (equivalently, finite) products.
* `i` is an exponential ideal.
-/
universe v₁ v₂ u₁ u₂
noncomputable section
namespace CategoryTheory
open Category
section Ideal
variable {C : Type u₁} {D : Type u₂} [Category.{v₁} C] [Category.{v₁} D] {i : D ⥤ C}
variable (i) [ChosenFiniteProducts C] [CartesianClosed C]
/-- The subcategory `D` of `C` expressed as an inclusion functor is an *exponential ideal* if
`B ∈ D` implies `A ⟹ B ∈ D` for all `A`.
-/
class ExponentialIdeal : Prop where
exp_closed : ∀ {B}, i.essImage B → ∀ A, i.essImage (A ⟹ B)
attribute [nolint docBlame] ExponentialIdeal.exp_closed
/-- To show `i` is an exponential ideal it suffices to show that `A ⟹ iB` is "in" `D` for any `A` in
`C` and `B` in `D`.
-/
theorem ExponentialIdeal.mk' (h : ∀ (B : D) (A : C), i.essImage (A ⟹ i.obj B)) :
ExponentialIdeal i :=
⟨fun hB A => by
rcases hB with ⟨B', ⟨iB'⟩⟩
exact Functor.essImage.ofIso ((exp A).mapIso iB') (h B' A)⟩
/-- The entire category viewed as a subcategory is an exponential ideal. -/
instance : ExponentialIdeal (𝟭 C) :=
ExponentialIdeal.mk' _ fun _ _ => ⟨_, ⟨Iso.refl _⟩⟩
open CartesianClosed
/-- The subcategory of subterminal objects is an exponential ideal. -/
instance : ExponentialIdeal (subterminalInclusion C) := by
apply ExponentialIdeal.mk'
intro B A
refine ⟨⟨A ⟹ B.1, fun Z g h => ?_⟩, ⟨Iso.refl _⟩⟩
exact uncurry_injective (B.2 (CartesianClosed.uncurry g) (CartesianClosed.uncurry h))
/-- If `D` is a reflective subcategory, the property of being an exponential ideal is equivalent to
the presence of a natural isomorphism `i ⋙ exp A ⋙ leftAdjoint i ⋙ i ≅ i ⋙ exp A`, that is:
`(A ⟹ iB) ≅ i L (A ⟹ iB)`, naturally in `B`.
The converse is given in `ExponentialIdeal.mk_of_iso`.
-/
def exponentialIdealReflective (A : C) [Reflective i] [ExponentialIdeal i] :
i ⋙ exp A ⋙ reflector i ⋙ i ≅ i ⋙ exp A := by
symm
apply NatIso.ofComponents _ _
· intro X
haveI := Functor.essImage.unit_isIso (ExponentialIdeal.exp_closed (i.obj_mem_essImage X) A)
apply asIso ((reflectorAdjunction i).unit.app (A ⟹ i.obj X))
· simp [asIso]
/-- Given a natural isomorphism `i ⋙ exp A ⋙ leftAdjoint i ⋙ i ≅ i ⋙ exp A`, we can show `i`
is an exponential ideal.
-/
theorem ExponentialIdeal.mk_of_iso [Reflective i]
(h : ∀ A : C, i ⋙ exp A ⋙ reflector i ⋙ i ≅ i ⋙ exp A) : ExponentialIdeal i := by
apply ExponentialIdeal.mk'
intro B A
exact ⟨_, ⟨(h A).app B⟩⟩
end Ideal
section
variable {C : Type u₁} {D : Type u₂} [Category.{v₁} C] [Category.{v₁} D]
variable (i : D ⥤ C)
-- Porting note: this used to be used as a local instance,
-- now it can instead be used as a have when needed
-- we assume HasFiniteProducts D as a hypothesis below
theorem reflective_products [Limits.HasFiniteProducts C] [Reflective i] :
Limits.HasFiniteProducts D := ⟨fun _ => hasLimitsOfShape_of_reflective i⟩
open CartesianClosed MonoidalCategory ChosenFiniteProducts
open Limits in
/-- Given a reflective subcategory `D` of a category with chosen finite products `C`, `D` admits
finite chosen products. -/
-- Note: This is not an instance as one might already have a (different) `ChosenFiniteProducts`
-- instance on `D` (as for example with sheaves).
def reflectiveChosenFiniteProducts [ChosenFiniteProducts C] [Reflective i] :
ChosenFiniteProducts D where
product X Y :=
{ cone := BinaryFan.mk
((reflector i).map (fst (i.obj X) (i.obj Y)) ≫ (reflectorAdjunction i).counit.app _)
((reflector i).map (snd (i.obj X) (i.obj Y)) ≫ (reflectorAdjunction i).counit.app _)
isLimit := by
apply isLimitOfReflects i
apply IsLimit.equivOfNatIsoOfIso (pairComp X Y _) _ _ _|>.invFun
(product (i.obj X) (i.obj Y)).isLimit
fapply BinaryFan.ext
· change (reflector i ⋙ i).obj (i.obj X ⊗ i.obj Y) ≅ (𝟭 C).obj (i.obj X ⊗ i.obj Y)
letI : IsIso ((reflectorAdjunction i).unit.app (i.obj X ⊗ i.obj Y)) := by
apply Functor.essImage.unit_isIso
haveI := reflective_products i
use Limits.prod X Y
constructor
apply Limits.PreservesLimitPair.iso i _ _|>.trans
refine Limits.IsLimit.conePointUniqueUpToIso (limit.isLimit (pair (i.obj X) (i.obj Y)))
(ChosenFiniteProducts.product _ _).isLimit
exact asIso ((reflectorAdjunction i).unit.app (i.obj X ⊗ i.obj Y))|>.symm
· simp only [BinaryFan.fst, Cones.postcompose, pairComp]
simp [← Functor.comp_map, ← NatTrans.naturality_assoc, fst]
· simp only [BinaryFan.snd, Cones.postcompose, pairComp]
simp [← Functor.comp_map, ← NatTrans.naturality_assoc, snd] }
terminal :=
{ cone := Limits.asEmptyCone <| (reflector i).obj (𝟙_ C)
isLimit := by
apply isLimitOfReflects i
apply isLimitChangeEmptyCone _ ChosenFiniteProducts.terminal.isLimit
letI : IsIso ((reflectorAdjunction i).unit.app (𝟙_ C)) := by
apply Functor.essImage.unit_isIso
haveI := reflective_products i
use Limits.terminal D
constructor
apply Limits.PreservesTerminal.iso i|>.trans
refine Limits.IsLimit.conePointUniqueUpToIso (limit.isLimit _)
(ChosenFiniteProducts.terminal).isLimit
exact asIso ((reflectorAdjunction i).unit.app (𝟙_ C)) }
variable [ChosenFiniteProducts C] [Reflective i] [CartesianClosed C] [ChosenFiniteProducts D]
/-- If the reflector preserves binary products, the subcategory is an exponential ideal.
This is the converse of `preservesBinaryProductsOfExponentialIdeal`.
-/
instance (priority := 10) exponentialIdeal_of_preservesBinaryProducts
[Limits.PreservesLimitsOfShape (Discrete Limits.WalkingPair) (reflector i)] :
ExponentialIdeal i := by
let ir := reflectorAdjunction i
let L : C ⥤ D := reflector i
let η : 𝟭 C ⟶ L ⋙ i := ir.unit
let ε : i ⋙ L ⟶ 𝟭 D := ir.counit
apply ExponentialIdeal.mk'
intro B A
let q : i.obj (L.obj (A ⟹ i.obj B)) ⟶ A ⟹ i.obj B := by
apply CartesianClosed.curry (ir.homEquiv _ _ _)
apply _ ≫ (ir.homEquiv _ _).symm ((exp.ev A).app (i.obj B))
exact prodComparison L A _ ≫ (_ ◁ (ε.app _)) ≫ inv (prodComparison _ _ _)
have : η.app (A ⟹ i.obj B) ≫ q = 𝟙 (A ⟹ i.obj B) := by
dsimp
rw [← curry_natural_left, curry_eq_iff, uncurry_id_eq_ev, ← ir.homEquiv_naturality_left,
ir.homEquiv_apply_eq, assoc, assoc, prodComparison_natural_whiskerLeft_assoc,
← MonoidalCategory.whiskerLeft_comp_assoc,
ir.left_triangle_components, MonoidalCategory.whiskerLeft_id, id_comp]
apply IsIso.hom_inv_id_assoc
haveI : IsSplitMono (η.app (A ⟹ i.obj B)) := IsSplitMono.mk' ⟨_, this⟩
apply mem_essImage_of_unit_isSplitMono
variable [ExponentialIdeal i]
/-- If `i` witnesses that `D` is a reflective subcategory and an exponential ideal, then `D` is
itself cartesian closed.
-/
def cartesianClosedOfReflective : CartesianClosed D where
closed := fun B =>
{ rightAdj := i ⋙ exp (i.obj B) ⋙ reflector i
adj := by
apply (exp.adjunction (i.obj B)).restrictFullyFaithful i.fullyFaithfulOfReflective
i.fullyFaithfulOfReflective
· symm
refine NatIso.ofComponents (fun X => ?_) (fun f => ?_)
· haveI :=
Adjunction.rightAdjoint_preservesLimits.{0, 0} (reflectorAdjunction i)
apply asIso (prodComparison i B X)
· dsimp [asIso]
rw [prodComparison_natural_whiskerLeft]
· apply (exponentialIdealReflective i _).symm }
| -- It's annoying that I need to do this.
attribute [-instance] CategoryTheory.preservesLimit_of_createsLimit_and_hasLimit
CategoryTheory.preservesLimitOfShape_of_createsLimitsOfShape_and_hasLimitsOfShape
/-- We construct a bijection between morphisms `L(A ⊗ B) ⟶ X` and morphisms `LA ⊗ LB ⟶ X`.
This bijection has two key properties:
* It is natural in `X`: See `bijection_natural`.
* When `X = LA ⨯ LB`, then the backwards direction sends the identity morphism to the product
comparison morphism: See `bijection_symm_apply_id`.
Together these help show that `L` preserves binary products. This should be considered
*internal implementation* towards `preservesBinaryProductsOfExponentialIdeal`.
-/
noncomputable def bijection (A B : C) (X : D) :
((reflector i).obj (A ⊗ B) ⟶ X) ≃ ((reflector i).obj A ⊗ (reflector i).obj B ⟶ X) :=
calc
_ ≃ (A ⊗ B ⟶ i.obj X) := (reflectorAdjunction i).homEquiv _ _
_ ≃ (B ⊗ A ⟶ i.obj X) := (β_ _ _).homCongr (Iso.refl _)
| Mathlib/CategoryTheory/Closed/Ideal.lean | 204 | 221 |
/-
Copyright (c) 2019 Chris Hughes. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Chris Hughes, Yakov Pechersky
-/
import Mathlib.Data.List.Nodup
import Mathlib.Data.List.Infix
import Mathlib.Data.Quot
/-!
# List rotation
This file proves basic results about `List.rotate`, the list rotation.
## Main declarations
* `List.IsRotated l₁ l₂`: States that `l₁` is a rotated version of `l₂`.
* `List.cyclicPermutations l`: The list of all cyclic permutants of `l`, up to the length of `l`.
## Tags
rotated, rotation, permutation, cycle
-/
universe u
variable {α : Type u}
open Nat Function
namespace List
theorem rotate_mod (l : List α) (n : ℕ) : l.rotate (n % l.length) = l.rotate n := by simp [rotate]
@[simp]
theorem rotate_nil (n : ℕ) : ([] : List α).rotate n = [] := by simp [rotate]
@[simp]
theorem rotate_zero (l : List α) : l.rotate 0 = l := by simp [rotate]
theorem rotate'_nil (n : ℕ) : ([] : List α).rotate' n = [] := by simp
@[simp]
theorem rotate'_zero (l : List α) : l.rotate' 0 = l := by cases l <;> rfl
theorem rotate'_cons_succ (l : List α) (a : α) (n : ℕ) :
(a :: l : List α).rotate' n.succ = (l ++ [a]).rotate' n := by simp [rotate']
@[simp]
theorem length_rotate' : ∀ (l : List α) (n : ℕ), (l.rotate' n).length = l.length
| [], _ => by simp
| _ :: _, 0 => rfl
| a :: l, n + 1 => by rw [List.rotate', length_rotate' (l ++ [a]) n]; simp
theorem rotate'_eq_drop_append_take :
∀ {l : List α} {n : ℕ}, n ≤ l.length → l.rotate' n = l.drop n ++ l.take n
| [], n, h => by simp [drop_append_of_le_length h]
| l, 0, h => by simp [take_append_of_le_length h]
| a :: l, n + 1, h => by
have hnl : n ≤ l.length := le_of_succ_le_succ h
have hnl' : n ≤ (l ++ [a]).length := by
rw [length_append, length_cons, List.length]; exact le_of_succ_le h
rw [rotate'_cons_succ, rotate'_eq_drop_append_take hnl', drop, take,
drop_append_of_le_length hnl, take_append_of_le_length hnl]; simp
theorem rotate'_rotate' : ∀ (l : List α) (n m : ℕ), (l.rotate' n).rotate' m = l.rotate' (n + m)
| a :: l, 0, m => by simp
| [], n, m => by simp
| a :: l, n + 1, m => by
rw [rotate'_cons_succ, rotate'_rotate' _ n, Nat.add_right_comm, ← rotate'_cons_succ,
Nat.succ_eq_add_one]
@[simp]
theorem rotate'_length (l : List α) : rotate' l l.length = l := by
rw [rotate'_eq_drop_append_take le_rfl]; simp
@[simp]
theorem rotate'_length_mul (l : List α) : ∀ n : ℕ, l.rotate' (l.length * n) = l
| 0 => by simp
| n + 1 =>
calc
l.rotate' (l.length * (n + 1)) =
(l.rotate' (l.length * n)).rotate' (l.rotate' (l.length * n)).length := by
simp [-rotate'_length, Nat.mul_succ, rotate'_rotate']
_ = l := by rw [rotate'_length, rotate'_length_mul l n]
theorem rotate'_mod (l : List α) (n : ℕ) : l.rotate' (n % l.length) = l.rotate' n :=
calc
l.rotate' (n % l.length) =
(l.rotate' (n % l.length)).rotate' ((l.rotate' (n % l.length)).length * (n / l.length)) :=
by rw [rotate'_length_mul]
_ = l.rotate' n := by rw [rotate'_rotate', length_rotate', Nat.mod_add_div]
theorem rotate_eq_rotate' (l : List α) (n : ℕ) : l.rotate n = l.rotate' n :=
if h : l.length = 0 then by simp_all [length_eq_zero_iff]
else by
rw [← rotate'_mod,
rotate'_eq_drop_append_take (le_of_lt (Nat.mod_lt _ (Nat.pos_of_ne_zero h)))]
simp [rotate]
@[simp] theorem rotate_cons_succ (l : List α) (a : α) (n : ℕ) :
(a :: l : List α).rotate (n + 1) = (l ++ [a]).rotate n := by
rw [rotate_eq_rotate', rotate_eq_rotate', rotate'_cons_succ]
@[simp]
theorem mem_rotate : ∀ {l : List α} {a : α} {n : ℕ}, a ∈ l.rotate n ↔ a ∈ l
| [], _, n => by simp
| a :: l, _, 0 => by simp
| a :: l, _, n + 1 => by simp [rotate_cons_succ, mem_rotate, or_comm]
@[simp]
theorem length_rotate (l : List α) (n : ℕ) : (l.rotate n).length = l.length := by
rw [rotate_eq_rotate', length_rotate']
@[simp]
theorem rotate_replicate (a : α) (n : ℕ) (k : ℕ) : (replicate n a).rotate k = replicate n a :=
eq_replicate_iff.2 ⟨by rw [length_rotate, length_replicate], fun b hb =>
eq_of_mem_replicate <| mem_rotate.1 hb⟩
theorem rotate_eq_drop_append_take {l : List α} {n : ℕ} :
n ≤ l.length → l.rotate n = l.drop n ++ l.take n := by
rw [rotate_eq_rotate']; exact rotate'_eq_drop_append_take
theorem rotate_eq_drop_append_take_mod {l : List α} {n : ℕ} :
l.rotate n = l.drop (n % l.length) ++ l.take (n % l.length) := by
rcases l.length.zero_le.eq_or_lt with hl | hl
· simp [eq_nil_of_length_eq_zero hl.symm]
rw [← rotate_eq_drop_append_take (n.mod_lt hl).le, rotate_mod]
@[simp]
theorem rotate_append_length_eq (l l' : List α) : (l ++ l').rotate l.length = l' ++ l := by
rw [rotate_eq_rotate']
induction l generalizing l'
· simp
· simp_all [rotate']
theorem rotate_rotate (l : List α) (n m : ℕ) : (l.rotate n).rotate m = l.rotate (n + m) := by
rw [rotate_eq_rotate', rotate_eq_rotate', rotate_eq_rotate', rotate'_rotate']
@[simp]
theorem rotate_length (l : List α) : rotate l l.length = l := by
rw [rotate_eq_rotate', rotate'_length]
@[simp]
theorem rotate_length_mul (l : List α) (n : ℕ) : l.rotate (l.length * n) = l := by
rw [rotate_eq_rotate', rotate'_length_mul]
theorem rotate_perm (l : List α) (n : ℕ) : l.rotate n ~ l := by
rw [rotate_eq_rotate']
induction' n with n hn generalizing l
· simp
· rcases l with - | ⟨hd, tl⟩
· simp
· rw [rotate'_cons_succ]
exact (hn _).trans (perm_append_singleton _ _)
@[simp]
theorem nodup_rotate {l : List α} {n : ℕ} : Nodup (l.rotate n) ↔ Nodup l :=
(rotate_perm l n).nodup_iff
@[simp]
theorem rotate_eq_nil_iff {l : List α} {n : ℕ} : l.rotate n = [] ↔ l = [] := by
induction' n with n hn generalizing l
· simp
· rcases l with - | ⟨hd, tl⟩
· simp
· simp [rotate_cons_succ, hn]
theorem nil_eq_rotate_iff {l : List α} {n : ℕ} : [] = l.rotate n ↔ [] = l := by
rw [eq_comm, rotate_eq_nil_iff, eq_comm]
@[simp]
theorem rotate_singleton (x : α) (n : ℕ) : [x].rotate n = [x] :=
rotate_replicate x 1 n
theorem zipWith_rotate_distrib {β γ : Type*} (f : α → β → γ) (l : List α) (l' : List β) (n : ℕ)
(h : l.length = l'.length) :
(zipWith f l l').rotate n = zipWith f (l.rotate n) (l'.rotate n) := by
rw [rotate_eq_drop_append_take_mod, rotate_eq_drop_append_take_mod,
rotate_eq_drop_append_take_mod, h, zipWith_append, ← drop_zipWith, ←
take_zipWith, List.length_zipWith, h, min_self]
rw [length_drop, length_drop, h]
theorem zipWith_rotate_one {β : Type*} (f : α → α → β) (x y : α) (l : List α) :
zipWith f (x :: y :: l) ((x :: y :: l).rotate 1) = f x y :: zipWith f (y :: l) (l ++ [x]) := by
simp
theorem getElem?_rotate {l : List α} {n m : ℕ} (hml : m < l.length) :
(l.rotate n)[m]? = l[(m + n) % l.length]? := by
rw [rotate_eq_drop_append_take_mod]
rcases lt_or_le m (l.drop (n % l.length)).length with hm | hm
· rw [getElem?_append_left hm, getElem?_drop, ← add_mod_mod]
rw [length_drop, Nat.lt_sub_iff_add_lt] at hm
rw [mod_eq_of_lt hm, Nat.add_comm]
· have hlt : n % length l < length l := mod_lt _ (m.zero_le.trans_lt hml)
rw [getElem?_append_right hm, getElem?_take_of_lt, length_drop]
· congr 1
rw [length_drop] at hm
have hm' := Nat.sub_le_iff_le_add'.1 hm
have : n % length l + m - length l < length l := by
rw [Nat.sub_lt_iff_lt_add hm']
exact Nat.add_lt_add hlt hml
conv_rhs => rw [Nat.add_comm m, ← mod_add_mod, mod_eq_sub_mod hm', mod_eq_of_lt this]
omega
· rwa [Nat.sub_lt_iff_lt_add' hm, length_drop, Nat.sub_add_cancel hlt.le]
theorem getElem_rotate (l : List α) (n : ℕ) (k : Nat) (h : k < (l.rotate n).length) :
(l.rotate n)[k] =
l[(k + n) % l.length]'(mod_lt _ (length_rotate l n ▸ k.zero_le.trans_lt h)) := by
rw [← Option.some_inj, ← getElem?_eq_getElem, ← getElem?_eq_getElem, getElem?_rotate]
exact h.trans_eq (length_rotate _ _)
set_option linter.deprecated false in
@[deprecated getElem?_rotate (since := "2025-02-14")]
theorem get?_rotate {l : List α} {n m : ℕ} (hml : m < l.length) :
(l.rotate n).get? m = l.get? ((m + n) % l.length) := by
simp only [get?_eq_getElem?, length_rotate, hml, getElem?_eq_getElem, getElem_rotate]
rw [← getElem?_eq_getElem]
theorem get_rotate (l : List α) (n : ℕ) (k : Fin (l.rotate n).length) :
(l.rotate n).get k = l.get ⟨(k + n) % l.length, mod_lt _ (length_rotate l n ▸ k.pos)⟩ := by
simp [getElem_rotate]
theorem head?_rotate {l : List α} {n : ℕ} (h : n < l.length) : head? (l.rotate n) = l[n]? := by
rw [head?_eq_getElem?, getElem?_rotate (n.zero_le.trans_lt h), Nat.zero_add, Nat.mod_eq_of_lt h]
theorem get_rotate_one (l : List α) (k : Fin (l.rotate 1).length) :
(l.rotate 1).get k = l.get ⟨(k + 1) % l.length, mod_lt _ (length_rotate l 1 ▸ k.pos)⟩ :=
get_rotate l 1 k
/-- A version of `List.getElem_rotate` that represents `l[k]` in terms of
`(List.rotate l n)[⋯]`, not vice versa. Can be used instead of rewriting `List.getElem_rotate`
from right to left. -/
theorem getElem_eq_getElem_rotate (l : List α) (n : ℕ) (k : Nat) (hk : k < l.length) :
l[k] = ((l.rotate n)[(l.length - n % l.length + k) % l.length]'
((Nat.mod_lt _ (k.zero_le.trans_lt hk)).trans_eq (length_rotate _ _).symm)) := by
rw [getElem_rotate]
refine congr_arg l.get (Fin.eq_of_val_eq ?_)
simp only [mod_add_mod]
rw [← add_mod_mod, Nat.add_right_comm, Nat.sub_add_cancel, add_mod_left, mod_eq_of_lt]
exacts [hk, (mod_lt _ (k.zero_le.trans_lt hk)).le]
/-- A version of `List.get_rotate` that represents `List.get l` in terms of
`List.get (List.rotate l n)`, not vice versa. Can be used instead of rewriting `List.get_rotate`
from right to left. -/
theorem get_eq_get_rotate (l : List α) (n : ℕ) (k : Fin l.length) :
l.get k = (l.rotate n).get ⟨(l.length - n % l.length + k) % l.length,
(Nat.mod_lt _ (k.1.zero_le.trans_lt k.2)).trans_eq (length_rotate _ _).symm⟩ := by
rw [get_rotate]
refine congr_arg l.get (Fin.eq_of_val_eq ?_)
simp only [mod_add_mod]
rw [← add_mod_mod, Nat.add_right_comm, Nat.sub_add_cancel, add_mod_left, mod_eq_of_lt]
exacts [k.2, (mod_lt _ (k.1.zero_le.trans_lt k.2)).le]
theorem rotate_eq_self_iff_eq_replicate [hα : Nonempty α] :
∀ {l : List α}, (∀ n, l.rotate n = l) ↔ ∃ a, l = replicate l.length a
| [] => by simp
| a :: l => ⟨fun h => ⟨a, ext_getElem length_replicate.symm fun n h₁ h₂ => by
rw [getElem_replicate, ← Option.some_inj, ← getElem?_eq_getElem, ← head?_rotate h₁, h,
head?_cons]⟩,
fun ⟨b, hb⟩ n => by rw [hb, rotate_replicate]⟩
theorem rotate_one_eq_self_iff_eq_replicate [Nonempty α] {l : List α} :
l.rotate 1 = l ↔ ∃ a : α, l = List.replicate l.length a :=
⟨fun h =>
rotate_eq_self_iff_eq_replicate.mp fun n =>
Nat.rec l.rotate_zero (fun n hn => by rwa [Nat.succ_eq_add_one, ← l.rotate_rotate, hn]) n,
fun h => rotate_eq_self_iff_eq_replicate.mpr h 1⟩
theorem rotate_injective (n : ℕ) : Function.Injective fun l : List α => l.rotate n := by
rintro l l' (h : l.rotate n = l'.rotate n)
have hle : l.length = l'.length := (l.length_rotate n).symm.trans (h.symm ▸ l'.length_rotate n)
rw [rotate_eq_drop_append_take_mod, rotate_eq_drop_append_take_mod] at h
obtain ⟨hd, ht⟩ := append_inj h (by simp_all)
rw [← take_append_drop _ l, ht, hd, take_append_drop]
@[simp]
theorem rotate_eq_rotate {l l' : List α} {n : ℕ} : l.rotate n = l'.rotate n ↔ l = l' :=
(rotate_injective n).eq_iff
theorem rotate_eq_iff {l l' : List α} {n : ℕ} :
l.rotate n = l' ↔ l = l'.rotate (l'.length - n % l'.length) := by
rw [← @rotate_eq_rotate _ l _ n, rotate_rotate, ← rotate_mod l', add_mod]
rcases l'.length.zero_le.eq_or_lt with hl | hl
· rw [eq_nil_of_length_eq_zero hl.symm, rotate_nil]
· rcases (Nat.zero_le (n % l'.length)).eq_or_lt with hn | hn
· simp [← hn]
· rw [mod_eq_of_lt (Nat.sub_lt hl hn), Nat.sub_add_cancel, mod_self, rotate_zero]
exact (Nat.mod_lt _ hl).le
@[simp]
theorem rotate_eq_singleton_iff {l : List α} {n : ℕ} {x : α} : l.rotate n = [x] ↔ l = [x] := by
rw [rotate_eq_iff, rotate_singleton]
@[simp]
theorem singleton_eq_rotate_iff {l : List α} {n : ℕ} {x : α} : [x] = l.rotate n ↔ [x] = l := by
rw [eq_comm, rotate_eq_singleton_iff, eq_comm]
theorem reverse_rotate (l : List α) (n : ℕ) :
(l.rotate n).reverse = l.reverse.rotate (l.length - n % l.length) := by
rw [← length_reverse, ← rotate_eq_iff]
induction' n with n hn generalizing l
· simp
· rcases l with - | ⟨hd, tl⟩
· simp
· rw [rotate_cons_succ, ← rotate_rotate, hn]
simp
theorem rotate_reverse (l : List α) (n : ℕ) :
l.reverse.rotate n = (l.rotate (l.length - n % l.length)).reverse := by
rw [← reverse_reverse l]
simp_rw [reverse_rotate, reverse_reverse, rotate_eq_iff, rotate_rotate, length_rotate,
length_reverse]
rw [← length_reverse]
let k := n % l.reverse.length
rcases hk' : k with - | k'
· simp_all! [k, length_reverse, ← rotate_rotate]
· rcases l with - | ⟨x, l⟩
· simp
· rw [Nat.mod_eq_of_lt, Nat.sub_add_cancel, rotate_length]
· exact Nat.sub_le _ _
· exact Nat.sub_lt (by simp) (by simp_all! [k])
theorem map_rotate {β : Type*} (f : α → β) (l : List α) (n : ℕ) :
map f (l.rotate n) = (map f l).rotate n := by
induction' n with n hn IH generalizing l
· simp
· rcases l with - | ⟨hd, tl⟩
· simp
· simp [hn]
theorem Nodup.rotate_congr {l : List α} (hl : l.Nodup) (hn : l ≠ []) (i j : ℕ)
(h : l.rotate i = l.rotate j) : i % l.length = j % l.length := by
rw [← rotate_mod l i, ← rotate_mod l j] at h
simpa only [head?_rotate, mod_lt, length_pos_of_ne_nil hn, getElem?_eq_getElem, Option.some_inj,
hl.getElem_inj_iff, Fin.ext_iff] using congr_arg head? h
theorem Nodup.rotate_congr_iff {l : List α} (hl : l.Nodup) {i j : ℕ} :
l.rotate i = l.rotate j ↔ i % l.length = j % l.length ∨ l = [] := by
rcases eq_or_ne l [] with rfl | hn
· simp
· simp only [hn, or_false]
refine ⟨hl.rotate_congr hn _ _, fun h ↦ ?_⟩
rw [← rotate_mod, h, rotate_mod]
theorem Nodup.rotate_eq_self_iff {l : List α} (hl : l.Nodup) {n : ℕ} :
l.rotate n = l ↔ n % l.length = 0 ∨ l = [] := by
rw [← zero_mod, ← hl.rotate_congr_iff, rotate_zero]
section IsRotated
variable (l l' : List α)
/-- `IsRotated l₁ l₂` or `l₁ ~r l₂` asserts that `l₁` and `l₂` are cyclic permutations
of each other. This is defined by claiming that `∃ n, l.rotate n = l'`. -/
def IsRotated : Prop :=
∃ n, l.rotate n = l'
@[inherit_doc List.IsRotated]
-- This matches the precedence of the infix `~` for `List.Perm`, and of other relation infixes
infixr:50 " ~r " => IsRotated
variable {l l'}
@[refl]
theorem IsRotated.refl (l : List α) : l ~r l :=
⟨0, by simp⟩
@[symm]
theorem IsRotated.symm (h : l ~r l') : l' ~r l := by
obtain ⟨n, rfl⟩ := h
rcases l with - | ⟨hd, tl⟩
· exists 0
· use (hd :: tl).length * n - n
rw [rotate_rotate, Nat.add_sub_cancel', rotate_length_mul]
exact Nat.le_mul_of_pos_left _ (by simp)
theorem isRotated_comm : l ~r l' ↔ l' ~r l :=
⟨IsRotated.symm, IsRotated.symm⟩
@[simp]
protected theorem IsRotated.forall (l : List α) (n : ℕ) : l.rotate n ~r l :=
IsRotated.symm ⟨n, rfl⟩
@[trans]
theorem IsRotated.trans : ∀ {l l' l'' : List α}, l ~r l' → l' ~r l'' → l ~r l''
| _, _, _, ⟨n, rfl⟩, ⟨m, rfl⟩ => ⟨n + m, by rw [rotate_rotate]⟩
theorem IsRotated.eqv : Equivalence (@IsRotated α) :=
Equivalence.mk IsRotated.refl IsRotated.symm IsRotated.trans
/-- The relation `List.IsRotated l l'` forms a `Setoid` of cycles. -/
def IsRotated.setoid (α : Type*) : Setoid (List α) where
r := IsRotated
iseqv := IsRotated.eqv
theorem IsRotated.perm (h : l ~r l') : l ~ l' :=
Exists.elim h fun _ hl => hl ▸ (rotate_perm _ _).symm
theorem IsRotated.nodup_iff (h : l ~r l') : Nodup l ↔ Nodup l' :=
h.perm.nodup_iff
theorem IsRotated.mem_iff (h : l ~r l') {a : α} : a ∈ l ↔ a ∈ l' :=
h.perm.mem_iff
@[simp]
theorem isRotated_nil_iff : l ~r [] ↔ l = [] :=
⟨fun ⟨n, hn⟩ => by simpa using hn, fun h => h ▸ by rfl⟩
@[simp]
theorem isRotated_nil_iff' : [] ~r l ↔ [] = l := by
rw [isRotated_comm, isRotated_nil_iff, eq_comm]
@[simp]
theorem isRotated_singleton_iff {x : α} : l ~r [x] ↔ l = [x] :=
⟨fun ⟨n, hn⟩ => by simpa using hn, fun h => h ▸ by rfl⟩
@[simp]
theorem isRotated_singleton_iff' {x : α} : [x] ~r l ↔ [x] = l := by
rw [isRotated_comm, isRotated_singleton_iff, eq_comm]
theorem isRotated_concat (hd : α) (tl : List α) : (tl ++ [hd]) ~r (hd :: tl) :=
IsRotated.symm ⟨1, by simp⟩
theorem isRotated_append : (l ++ l') ~r (l' ++ l) :=
⟨l.length, by simp⟩
theorem IsRotated.reverse (h : l ~r l') : l.reverse ~r l'.reverse := by
obtain ⟨n, rfl⟩ := h
exact ⟨_, (reverse_rotate _ _).symm⟩
theorem isRotated_reverse_comm_iff : l.reverse ~r l' ↔ l ~r l'.reverse := by
constructor <;>
· intro h
simpa using h.reverse
@[simp]
theorem isRotated_reverse_iff : l.reverse ~r l'.reverse ↔ l ~r l' := by
simp [isRotated_reverse_comm_iff]
theorem isRotated_iff_mod : l ~r l' ↔ ∃ n ≤ l.length, l.rotate n = l' := by
refine ⟨fun h => ?_, fun ⟨n, _, h⟩ => ⟨n, h⟩⟩
obtain ⟨n, rfl⟩ := h
rcases l with - | ⟨hd, tl⟩
· simp
· refine ⟨n % (hd :: tl).length, ?_, rotate_mod _ _⟩
refine (Nat.mod_lt _ ?_).le
simp
theorem isRotated_iff_mem_map_range : l ~r l' ↔ l' ∈ (List.range (l.length + 1)).map l.rotate := by
simp_rw [mem_map, mem_range, isRotated_iff_mod]
exact
⟨fun ⟨n, hn, h⟩ => ⟨n, Nat.lt_succ_of_le hn, h⟩,
fun ⟨n, hn, h⟩ => ⟨n, Nat.le_of_lt_succ hn, h⟩⟩
theorem IsRotated.map {β : Type*} {l₁ l₂ : List α} (h : l₁ ~r l₂) (f : α → β) :
map f l₁ ~r map f l₂ := by
obtain ⟨n, rfl⟩ := h
rw [map_rotate]
use n
theorem IsRotated.cons_getLast_dropLast
(L : List α) (hL : L ≠ []) : L.getLast hL :: L.dropLast ~r L := by
induction L using List.reverseRecOn with
| nil => simp at hL
| append_singleton a L _ =>
simp only [getLast_append, dropLast_concat]
apply IsRotated.symm
apply isRotated_concat
theorem IsRotated.dropLast_tail {α}
{L : List α} (hL : L ≠ []) (hL' : L.head hL = L.getLast hL) : L.dropLast ~r L.tail :=
match L with
| [] => by simp
| [_] => by simp
| a :: b :: L => by
simp only [head_cons, ne_eq, reduceCtorEq, not_false_eq_true, getLast_cons] at hL'
simp [hL', IsRotated.cons_getLast_dropLast]
/-- List of all cyclic permutations of `l`.
The `cyclicPermutations` of a nonempty list `l` will always contain `List.length l` elements.
This implies that under certain conditions, there are duplicates in `List.cyclicPermutations l`.
The `n`th entry is equal to `l.rotate n`, proven in `List.get_cyclicPermutations`.
The proof that every cyclic permutant of `l` is in the list is `List.mem_cyclicPermutations_iff`.
cyclicPermutations [1, 2, 3, 2, 4] =
[[1, 2, 3, 2, 4], [2, 3, 2, 4, 1], [3, 2, 4, 1, 2],
[2, 4, 1, 2, 3], [4, 1, 2, 3, 2]] -/
def cyclicPermutations : List α → List (List α)
| [] => [[]]
| l@(_ :: _) => dropLast (zipWith (· ++ ·) (tails l) (inits l))
| @[simp]
theorem cyclicPermutations_nil : cyclicPermutations ([] : List α) = [[]] :=
| Mathlib/Data/List/Rotate.lean | 494 | 495 |
/-
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.CharP.Defs
import Mathlib.Algebra.Order.CauSeq.BigOperators
import Mathlib.Algebra.Order.Star.Basic
import Mathlib.Data.Complex.BigOperators
import Mathlib.Data.Complex.Norm
import Mathlib.Data.Nat.Choose.Sum
/-!
# Exponential Function
This file contains the definitions of the real and complex exponential function.
## Main definitions
* `Complex.exp`: The complex exponential function, defined via its Taylor series
* `Real.exp`: The real exponential function, defined as the real part of the complex exponential
-/
open CauSeq Finset IsAbsoluteValue
open scoped ComplexConjugate
namespace Complex
theorem isCauSeq_norm_exp (z : ℂ) :
IsCauSeq abs fun n => ∑ m ∈ range n, ‖z ^ m / m.factorial‖ :=
let ⟨n, hn⟩ := exists_nat_gt ‖z‖
have hn0 : (0 : ℝ) < n := lt_of_le_of_lt (norm_nonneg _) hn
IsCauSeq.series_ratio_test n (‖z‖ / n) (div_nonneg (norm_nonneg _) (le_of_lt hn0))
(by rwa [div_lt_iff₀ hn0, one_mul]) fun m hm => by
rw [abs_norm, abs_norm, Nat.factorial_succ, pow_succ', mul_comm m.succ, Nat.cast_mul,
← div_div, mul_div_assoc, mul_div_right_comm, Complex.norm_mul, Complex.norm_div,
norm_natCast]
gcongr
exact le_trans hm (Nat.le_succ _)
@[deprecated (since := "2025-02-16")] alias isCauSeq_abs_exp := isCauSeq_norm_exp
noncomputable section
theorem isCauSeq_exp (z : ℂ) : IsCauSeq (‖·‖) fun n => ∑ m ∈ range n, z ^ m / m.factorial :=
(isCauSeq_norm_exp z).of_abv
/-- The Cauchy sequence consisting of partial sums of the Taylor series of
the complex exponential function -/
@[pp_nodot]
def exp' (z : ℂ) : CauSeq ℂ (‖·‖) :=
⟨fun n => ∑ m ∈ range n, z ^ m / m.factorial, isCauSeq_exp z⟩
/-- The complex exponential function, defined via its Taylor series -/
@[pp_nodot]
def exp (z : ℂ) : ℂ :=
CauSeq.lim (exp' z)
/-- 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 -/
@[pp_nodot]
nonrec def exp (x : ℝ) : ℝ :=
(exp x).re
/-- 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 -- ε0 : ε > 0 but goal is _ < ε
rcases j with - | 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
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_cancel₀ 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_norm_exp x) (isCauSeq_exp y)
/-- the exponential function as a monoid hom from `Multiplicative ℂ` to `ℂ` -/
@[simps]
noncomputable def expMonoidHom : MonoidHom (Multiplicative ℂ) ℂ :=
{ toFun := fun z => exp z.toAdd,
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
theorem exp_multiset_sum (s : Multiset ℂ) : exp s.sum = (s.map exp).prod :=
@MonoidHom.map_multiset_prod (Multiplicative ℂ) ℂ _ _ expMonoidHom s
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
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]
@[simp]
theorem exp_ne_zero : exp x ≠ 0 := fun h =>
zero_ne_one (α := ℂ) <| by rw [← exp_zero, ← add_neg_cancel x, exp_add, h]; simp
theorem exp_neg : exp (-x) = (exp x)⁻¹ := by
rw [← mul_right_inj' (exp_ne_zero x), ← exp_add]; simp [mul_inv_cancel₀ (exp_ne_zero x)]
theorem exp_sub : exp (x - y) = exp x / exp y := by
simp [sub_eq_add_neg, exp_add, exp_neg, div_eq_mul_inv]
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]
@[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]
@[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]
@[simp, norm_cast]
theorem ofReal_exp (x : ℝ) : (Real.exp x : ℂ) = exp x :=
ofReal_exp_ofReal_re _
@[simp]
theorem exp_ofReal_im (x : ℝ) : (exp x).im = 0 := by rw [← ofReal_exp_ofReal_re, ofReal_im]
theorem exp_ofReal_re (x : ℝ) : (exp x).re = Real.exp x :=
rfl
end Complex
namespace Real
open Complex
variable (x y : ℝ)
@[simp]
theorem exp_zero : exp 0 = 1 := by simp [Real.exp]
nonrec theorem exp_add : exp (x + y) = exp x * exp y := by simp [exp_add, exp]
/-- the exponential function as a monoid hom from `Multiplicative ℝ` to `ℝ` -/
@[simps]
noncomputable def expMonoidHom : MonoidHom (Multiplicative ℝ) ℝ :=
{ toFun := fun x => exp x.toAdd,
map_one' := by simp,
map_mul' := by simp [exp_add] }
theorem exp_list_sum (l : List ℝ) : exp l.sum = (l.map exp).prod :=
map_list_prod (M := Multiplicative ℝ) expMonoidHom l
theorem exp_multiset_sum (s : Multiset ℝ) : exp s.sum = (s.map exp).prod :=
@MonoidHom.map_multiset_prod (Multiplicative ℝ) ℝ _ _ expMonoidHom s
theorem exp_sum {α : Type*} (s : Finset α) (f : α → ℝ) :
exp (∑ x ∈ s, f x) = ∏ x ∈ s, exp (f x) :=
map_prod (β := Multiplicative ℝ) expMonoidHom f s
lemma exp_nsmul (x : ℝ) (n : ℕ) : exp (n • x) = exp x ^ n :=
@MonoidHom.map_pow (Multiplicative ℝ) ℝ _ _ expMonoidHom _ _
nonrec theorem exp_nat_mul (x : ℝ) (n : ℕ) : exp (n * x) = exp x ^ n :=
ofReal_injective (by simp [exp_nat_mul])
@[simp]
nonrec theorem exp_ne_zero : exp x ≠ 0 := fun h =>
exp_ne_zero x <| by rw [exp, ← ofReal_inj] at h; simp_all
nonrec theorem exp_neg : exp (-x) = (exp x)⁻¹ :=
ofReal_injective <| by simp [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]
open IsAbsoluteValue Nat
theorem sum_le_exp_of_nonneg {x : ℝ} (hx : 0 ≤ x) (n : ℕ) : ∑ i ∈ range n, x ^ i / i ! ≤ exp x :=
calc
∑ i ∈ range n, x ^ i / i ! ≤ lim (⟨_, isCauSeq_re (exp' x)⟩ : CauSeq ℝ abs) := by
refine le_lim (CauSeq.le_of_exists ⟨n, fun j hj => ?_⟩)
simp only [exp', const_apply, re_sum]
norm_cast
refine sum_le_sum_of_subset_of_nonneg (range_mono hj) fun _ _ _ ↦ ?_
positivity
_ = exp x := by rw [exp, Complex.exp, ← cauSeqRe, lim_re]
lemma pow_div_factorial_le_exp (hx : 0 ≤ x) (n : ℕ) : x ^ n / n ! ≤ exp x :=
calc
x ^ n / n ! ≤ ∑ k ∈ range (n + 1), x ^ k / k ! :=
single_le_sum (f := fun k ↦ x ^ k / k !) (fun k _ ↦ by positivity) (self_mem_range_succ n)
_ ≤ exp x := sum_le_exp_of_nonneg hx _
theorem quadratic_le_exp_of_nonneg {x : ℝ} (hx : 0 ≤ x) : 1 + x + x ^ 2 / 2 ≤ exp x :=
calc
1 + x + x ^ 2 / 2 = ∑ i ∈ range 3, x ^ i / i ! := by
simp only [sum_range_succ, range_one, sum_singleton, _root_.pow_zero, factorial, cast_one,
ne_eq, one_ne_zero, not_false_eq_true, div_self, pow_one, mul_one, div_one, Nat.mul_one,
cast_succ, add_right_inj]
ring_nf
_ ≤ exp x := sum_le_exp_of_nonneg hx 3
private theorem add_one_lt_exp_of_pos {x : ℝ} (hx : 0 < x) : x + 1 < exp x :=
(by nlinarith : x + 1 < 1 + x + x ^ 2 / 2).trans_le (quadratic_le_exp_of_nonneg hx.le)
private theorem add_one_le_exp_of_nonneg {x : ℝ} (hx : 0 ≤ x) : x + 1 ≤ exp x := by
rcases eq_or_lt_of_le hx with (rfl | h)
· simp
exact (add_one_lt_exp_of_pos h).le
theorem one_le_exp {x : ℝ} (hx : 0 ≤ x) : 1 ≤ exp x := by linarith [add_one_le_exp_of_nonneg hx]
@[bound]
theorem exp_pos (x : ℝ) : 0 < exp x :=
(le_total 0 x).elim (lt_of_lt_of_le zero_lt_one ∘ one_le_exp) fun h => by
rw [← neg_neg x, Real.exp_neg]
exact inv_pos.2 (lt_of_lt_of_le zero_lt_one (one_le_exp (neg_nonneg.2 h)))
@[bound]
lemma exp_nonneg (x : ℝ) : 0 ≤ exp x := x.exp_pos.le
@[simp]
theorem abs_exp (x : ℝ) : |exp x| = exp x :=
abs_of_pos (exp_pos _)
lemma exp_abs_le (x : ℝ) : exp |x| ≤ exp x + exp (-x) := by
cases le_total x 0 <;> simp [abs_of_nonpos, abs_of_nonneg, exp_nonneg, *]
@[mono]
theorem exp_strictMono : StrictMono exp := fun x y h => by
rw [← sub_add_cancel y x, Real.exp_add]
exact (lt_mul_iff_one_lt_left (exp_pos _)).2
(lt_of_lt_of_le (by linarith) (add_one_le_exp_of_nonneg (by linarith)))
@[gcongr]
theorem exp_lt_exp_of_lt {x y : ℝ} (h : x < y) : exp x < exp y := exp_strictMono h
@[mono]
theorem exp_monotone : Monotone exp :=
exp_strictMono.monotone
@[gcongr, bound]
theorem exp_le_exp_of_le {x y : ℝ} (h : x ≤ y) : exp x ≤ exp y := exp_monotone h
@[simp]
theorem exp_lt_exp {x y : ℝ} : exp x < exp y ↔ x < y :=
exp_strictMono.lt_iff_lt
@[simp]
theorem exp_le_exp {x y : ℝ} : exp x ≤ exp y ↔ x ≤ y :=
exp_strictMono.le_iff_le
theorem exp_injective : Function.Injective exp :=
exp_strictMono.injective
@[simp]
theorem exp_eq_exp {x y : ℝ} : exp x = exp y ↔ x = y :=
exp_injective.eq_iff
@[simp]
theorem exp_eq_one_iff : exp x = 1 ↔ x = 0 :=
exp_injective.eq_iff' exp_zero
@[simp]
theorem one_lt_exp_iff {x : ℝ} : 1 < exp x ↔ 0 < x := by rw [← exp_zero, exp_lt_exp]
@[bound] private alias ⟨_, Bound.one_lt_exp_of_pos⟩ := one_lt_exp_iff
@[simp]
theorem exp_lt_one_iff {x : ℝ} : exp x < 1 ↔ x < 0 := by rw [← exp_zero, exp_lt_exp]
@[simp]
theorem exp_le_one_iff {x : ℝ} : exp x ≤ 1 ↔ x ≤ 0 :=
exp_zero ▸ exp_le_exp
@[simp]
theorem one_le_exp_iff {x : ℝ} : 1 ≤ exp x ↔ 0 ≤ x :=
exp_zero ▸ exp_le_exp
end Real
namespace Complex
theorem sum_div_factorial_le {α : Type*} [Field α] [LinearOrder α] [IsStrictOrderedRing α]
(n j : ℕ) (hn : 0 < n) :
(∑ m ∈ range j with n ≤ m, (1 / m.factorial : α)) ≤ n.succ / (n.factorial * n) :=
calc
(∑ m ∈ range j with n ≤ m, (1 / m.factorial : α)) =
∑ m ∈ range (j - n), (1 / ((m + n).factorial : α)) := by
refine sum_nbij' (· - n) (· + n) ?_ ?_ ?_ ?_ ?_ <;>
simp +contextual [lt_tsub_iff_right, tsub_add_cancel_of_le]
_ ≤ ∑ m ∈ range (j - n), ((n.factorial : α) * (n.succ : α) ^ m)⁻¹ := by
simp_rw [one_div]
gcongr
rw [← Nat.cast_pow, ← Nat.cast_mul, Nat.cast_le, add_comm]
exact Nat.factorial_mul_pow_le_factorial
_ = (n.factorial : α)⁻¹ * ∑ m ∈ range (j - n), (n.succ : α)⁻¹ ^ m := by
simp [mul_inv, ← mul_sum, ← sum_mul, mul_comm, inv_pow]
_ = ((n.succ : α) - n.succ * (n.succ : α)⁻¹ ^ (j - n)) / (n.factorial * n) := by
have h₁ : (n.succ : α) ≠ 1 :=
@Nat.cast_one α _ ▸ mt Nat.cast_inj.1 (mt Nat.succ.inj (pos_iff_ne_zero.1 hn))
have h₂ : (n.succ : α) ≠ 0 := by positivity
have h₃ : (n.factorial * n : α) ≠ 0 := by positivity
have h₄ : (n.succ - 1 : α) = n := by simp
rw [geom_sum_inv h₁ h₂, eq_div_iff_mul_eq h₃, mul_comm _ (n.factorial * n : α),
← mul_assoc (n.factorial⁻¹ : α), ← mul_inv_rev, h₄, ← mul_assoc (n.factorial * n : α),
mul_comm (n : α) n.factorial, mul_inv_cancel₀ h₃, one_mul, mul_comm]
_ ≤ n.succ / (n.factorial * n : α) := by gcongr; apply sub_le_self; positivity
theorem exp_bound {x : ℂ} (hx : ‖x‖ ≤ 1) {n : ℕ} (hn : 0 < n) :
‖exp x - ∑ m ∈ range n, x ^ m / m.factorial‖ ≤
‖x‖ ^ n * ((n.succ : ℝ) * (n.factorial * n : ℝ)⁻¹) := by
rw [← lim_const (abv := norm) (∑ m ∈ range n, _), exp, sub_eq_add_neg,
← lim_neg, lim_add, ← lim_norm]
refine lim_le (CauSeq.le_of_exists ⟨n, fun j hj => ?_⟩)
simp_rw [← sub_eq_add_neg]
show
‖(∑ m ∈ range j, x ^ m / m.factorial) - ∑ m ∈ range n, x ^ m / m.factorial‖ ≤
‖x‖ ^ n * ((n.succ : ℝ) * (n.factorial * n : ℝ)⁻¹)
rw [sum_range_sub_sum_range hj]
calc
‖∑ m ∈ range j with n ≤ m, (x ^ m / m.factorial : ℂ)‖
= ‖∑ m ∈ range j with n ≤ m, (x ^ n * (x ^ (m - n) / m.factorial) : ℂ)‖ := by
refine congr_arg norm (sum_congr rfl fun m hm => ?_)
rw [mem_filter, mem_range] at hm
rw [← mul_div_assoc, ← pow_add, add_tsub_cancel_of_le hm.2]
_ ≤ ∑ m ∈ range j with n ≤ m, ‖x ^ n * (x ^ (m - n) / m.factorial)‖ :=
IsAbsoluteValue.abv_sum norm ..
_ ≤ ∑ m ∈ range j with n ≤ m, ‖x‖ ^ n * (1 / m.factorial) := by
simp_rw [Complex.norm_mul, Complex.norm_pow, Complex.norm_div, norm_natCast]
gcongr
rw [Complex.norm_pow]
exact pow_le_one₀ (norm_nonneg _) hx
_ = ‖x‖ ^ n * ∑ m ∈ range j with n ≤ m, (1 / m.factorial : ℝ) := by
simp [abs_mul, abv_pow abs, abs_div, ← mul_sum]
_ ≤ ‖x‖ ^ n * (n.succ * (n.factorial * n : ℝ)⁻¹) := by
gcongr
exact sum_div_factorial_le _ _ hn
theorem exp_bound' {x : ℂ} {n : ℕ} (hx : ‖x‖ / n.succ ≤ 1 / 2) :
‖exp x - ∑ m ∈ range n, x ^ m / m.factorial‖ ≤ ‖x‖ ^ n / n.factorial * 2 := by
rw [← lim_const (abv := norm) (∑ m ∈ range n, _),
exp, sub_eq_add_neg, ← lim_neg, lim_add, ← lim_norm]
refine lim_le (CauSeq.le_of_exists ⟨n, fun j hj => ?_⟩)
simp_rw [← sub_eq_add_neg]
show ‖(∑ m ∈ range j, x ^ m / m.factorial) - ∑ m ∈ range n, x ^ m / m.factorial‖ ≤
‖x‖ ^ n / n.factorial * 2
let k := j - n
have hj : j = n + k := (add_tsub_cancel_of_le hj).symm
rw [hj, sum_range_add_sub_sum_range]
calc
‖∑ i ∈ range k, x ^ (n + i) / ((n + i).factorial : ℂ)‖ ≤
∑ i ∈ range k, ‖x ^ (n + i) / ((n + i).factorial : ℂ)‖ :=
IsAbsoluteValue.abv_sum _ _ _
_ ≤ ∑ i ∈ range k, ‖x‖ ^ (n + i) / (n + i).factorial := by
simp [norm_natCast, Complex.norm_pow]
_ ≤ ∑ i ∈ range k, ‖x‖ ^ (n + i) / ((n.factorial : ℝ) * (n.succ : ℝ) ^ i) := ?_
_ = ∑ i ∈ range k, ‖x‖ ^ n / n.factorial * (‖x‖ ^ i / (n.succ : ℝ) ^ i) := ?_
_ ≤ ‖x‖ ^ n / ↑n.factorial * 2 := ?_
· gcongr
exact mod_cast Nat.factorial_mul_pow_le_factorial
· refine Finset.sum_congr rfl fun _ _ => ?_
simp only [pow_add, div_eq_inv_mul, mul_inv, mul_left_comm, mul_assoc]
· rw [← mul_sum]
gcongr
simp_rw [← div_pow]
rw [geom_sum_eq, div_le_iff_of_neg]
· trans (-1 : ℝ)
· linarith
· simp only [neg_le_sub_iff_le_add, div_pow, Nat.cast_succ, le_add_iff_nonneg_left]
positivity
· linarith
· linarith
theorem norm_exp_sub_one_le {x : ℂ} (hx : ‖x‖ ≤ 1) : ‖exp x - 1‖ ≤ 2 * ‖x‖ :=
calc
‖exp x - 1‖ = ‖exp x - ∑ m ∈ range 1, x ^ m / m.factorial‖ := by simp [sum_range_succ]
_ ≤ ‖x‖ ^ 1 * ((Nat.succ 1 : ℝ) * ((Nat.factorial 1) * (1 : ℕ) : ℝ)⁻¹) :=
(exp_bound hx (by decide))
_ = 2 * ‖x‖ := by simp [two_mul, mul_two, mul_add, mul_comm, add_mul, Nat.factorial]
theorem norm_exp_sub_one_sub_id_le {x : ℂ} (hx : ‖x‖ ≤ 1) : ‖exp x - 1 - x‖ ≤ ‖x‖ ^ 2 :=
calc
‖exp x - 1 - x‖ = ‖exp x - ∑ m ∈ range 2, x ^ m / m.factorial‖ := by
simp [sub_eq_add_neg, sum_range_succ_comm, add_assoc, Nat.factorial]
_ ≤ ‖x‖ ^ 2 * ((Nat.succ 2 : ℝ) * (Nat.factorial 2 * (2 : ℕ) : ℝ)⁻¹) :=
(exp_bound hx (by decide))
_ ≤ ‖x‖ ^ 2 * 1 := by gcongr; norm_num [Nat.factorial]
_ = ‖x‖ ^ 2 := by rw [mul_one]
lemma norm_exp_sub_sum_le_exp_norm_sub_sum (x : ℂ) (n : ℕ) :
‖exp x - ∑ m ∈ range n, x ^ m / m.factorial‖
≤ Real.exp ‖x‖ - ∑ m ∈ range n, ‖x‖ ^ m / m.factorial := by
rw [← CauSeq.lim_const (abv := norm) (∑ m ∈ range n, _), Complex.exp, sub_eq_add_neg,
← CauSeq.lim_neg, CauSeq.lim_add, ← lim_norm]
refine CauSeq.lim_le (CauSeq.le_of_exists ⟨n, fun j hj => ?_⟩)
simp_rw [← sub_eq_add_neg]
calc ‖(∑ m ∈ range j, x ^ m / m.factorial) - ∑ m ∈ range n, x ^ m / m.factorial‖
_ ≤ (∑ m ∈ range j, ‖x‖ ^ m / m.factorial) - ∑ m ∈ range n, ‖x‖ ^ m / m.factorial := by
rw [sum_range_sub_sum_range hj, sum_range_sub_sum_range hj]
refine (IsAbsoluteValue.abv_sum norm ..).trans_eq ?_
congr with i
simp [Complex.norm_pow]
_ ≤ Real.exp ‖x‖ - ∑ m ∈ range n, ‖x‖ ^ m / m.factorial := by
gcongr
exact Real.sum_le_exp_of_nonneg (norm_nonneg _) _
lemma norm_exp_le_exp_norm (x : ℂ) : ‖exp x‖ ≤ Real.exp ‖x‖ := by
convert norm_exp_sub_sum_le_exp_norm_sub_sum x 0 using 1 <;> simp
lemma norm_exp_sub_sum_le_norm_mul_exp (x : ℂ) (n : ℕ) :
‖exp x - ∑ m ∈ range n, x ^ m / m.factorial‖ ≤ ‖x‖ ^ n * Real.exp ‖x‖ := by
rw [← CauSeq.lim_const (abv := norm) (∑ m ∈ range n, _), Complex.exp, sub_eq_add_neg,
← CauSeq.lim_neg, CauSeq.lim_add, ← lim_norm]
refine CauSeq.lim_le (CauSeq.le_of_exists ⟨n, fun j hj => ?_⟩)
simp_rw [← sub_eq_add_neg]
show ‖(∑ m ∈ range j, x ^ m / m.factorial) - ∑ m ∈ range n, x ^ m / m.factorial‖ ≤ _
rw [sum_range_sub_sum_range hj]
calc
‖∑ m ∈ range j with n ≤ m, (x ^ m / m.factorial : ℂ)‖
= ‖∑ m ∈ range j with n ≤ m, (x ^ n * (x ^ (m - n) / m.factorial) : ℂ)‖ := by
refine congr_arg norm (sum_congr rfl fun m hm => ?_)
rw [mem_filter, mem_range] at hm
rw [← mul_div_assoc, ← pow_add, add_tsub_cancel_of_le hm.2]
_ ≤ ∑ m ∈ range j with n ≤ m, ‖x ^ n * (x ^ (m - n) / m.factorial)‖ :=
IsAbsoluteValue.abv_sum norm ..
_ ≤ ∑ m ∈ range j with n ≤ m, ‖x‖ ^ n * (‖x‖ ^ (m - n) / (m - n).factorial) := by
simp_rw [Complex.norm_mul, Complex.norm_pow, Complex.norm_div, norm_natCast]
gcongr with i hi
· rw [Complex.norm_pow]
· simp
_ = ‖x‖ ^ n * ∑ m ∈ range j with n ≤ m, (‖x‖ ^ (m - n) / (m - n).factorial) := by
rw [← mul_sum]
_ = ‖x‖ ^ n * ∑ m ∈ range (j - n), (‖x‖ ^ m / m.factorial) := by
congr 1
refine (sum_bij (fun m hm ↦ m + n) ?_ ?_ ?_ ?_).symm
· intro a ha
simp only [mem_filter, mem_range, le_add_iff_nonneg_left, zero_le, and_true]
simp only [mem_range] at ha
rwa [← lt_tsub_iff_right]
· intro a ha b hb hab
simpa using hab
· intro b hb
simp only [mem_range, exists_prop]
simp only [mem_filter, mem_range] at hb
refine ⟨b - n, ?_, ?_⟩
· rw [tsub_lt_tsub_iff_right hb.2]
exact hb.1
· rw [tsub_add_cancel_of_le hb.2]
· simp
_ ≤ ‖x‖ ^ n * Real.exp ‖x‖ := by
gcongr
refine Real.sum_le_exp_of_nonneg ?_ _
exact norm_nonneg _
@[deprecated (since := "2025-02-16")] alias abs_exp_sub_one_le := norm_exp_sub_one_le
@[deprecated (since := "2025-02-16")] alias abs_exp_sub_one_sub_id_le := norm_exp_sub_one_sub_id_le
@[deprecated (since := "2025-02-16")] alias abs_exp_sub_sum_le_exp_abs_sub_sum :=
norm_exp_sub_sum_le_exp_norm_sub_sum
@[deprecated (since := "2025-02-16")] alias abs_exp_le_exp_abs := norm_exp_le_exp_norm
@[deprecated (since := "2025-02-16")] alias abs_exp_sub_sum_le_abs_mul_exp :=
norm_exp_sub_sum_le_norm_mul_exp
end Complex
namespace Real
open Complex Finset
nonrec theorem exp_bound {x : ℝ} (hx : |x| ≤ 1) {n : ℕ} (hn : 0 < n) :
|exp x - ∑ m ∈ range n, x ^ m / m.factorial| ≤ |x| ^ n * (n.succ / (n.factorial * n)) := by
have hxc : ‖(x : ℂ)‖ ≤ 1 := mod_cast hx
convert exp_bound hxc hn using 2 <;>
norm_cast
theorem exp_bound' {x : ℝ} (h1 : 0 ≤ x) (h2 : x ≤ 1) {n : ℕ} (hn : 0 < n) :
Real.exp x ≤ (∑ m ∈ Finset.range n, x ^ m / m.factorial) +
x ^ n * (n + 1) / (n.factorial * n) := by
have h3 : |x| = x := by simpa
have h4 : |x| ≤ 1 := by rwa [h3]
have h' := Real.exp_bound h4 hn
rw [h3] at h'
have h'' := (abs_sub_le_iff.1 h').1
have t := sub_le_iff_le_add'.1 h''
simpa [mul_div_assoc] using t
theorem abs_exp_sub_one_le {x : ℝ} (hx : |x| ≤ 1) : |exp x - 1| ≤ 2 * |x| := by
have : ‖(x : ℂ)‖ ≤ 1 := mod_cast hx
exact_mod_cast Complex.norm_exp_sub_one_le (x := x) this
theorem abs_exp_sub_one_sub_id_le {x : ℝ} (hx : |x| ≤ 1) : |exp x - 1 - x| ≤ x ^ 2 := by
rw [← sq_abs]
have : ‖(x : ℂ)‖ ≤ 1 := mod_cast hx
exact_mod_cast Complex.norm_exp_sub_one_sub_id_le this
/-- A finite initial segment of the exponential series, followed by an arbitrary tail.
For fixed `n` this is just a linear map wrt `r`, and each map is a simple linear function
of the previous (see `expNear_succ`), with `expNear n x r ⟶ exp x` as `n ⟶ ∞`,
for any `r`. -/
noncomputable def expNear (n : ℕ) (x r : ℝ) : ℝ :=
(∑ m ∈ range n, x ^ m / m.factorial) + x ^ n / n.factorial * r
@[simp]
theorem expNear_zero (x r) : expNear 0 x r = r := by simp [expNear]
@[simp]
theorem expNear_succ (n x r) : expNear (n + 1) x r = expNear n x (1 + x / (n + 1) * r) := by
simp [expNear, range_succ, mul_add, add_left_comm, add_assoc, pow_succ, div_eq_mul_inv,
mul_inv, Nat.factorial]
ac_rfl
theorem expNear_sub (n x r₁ r₂) : expNear n x r₁ -
expNear n x r₂ = x ^ n / n.factorial * (r₁ - r₂) := by
simp [expNear, mul_sub]
theorem exp_approx_end (n m : ℕ) (x : ℝ) (e₁ : n + 1 = m) (h : |x| ≤ 1) :
|exp x - expNear m x 0| ≤ |x| ^ m / m.factorial * ((m + 1) / m) := by
simp only [expNear, mul_zero, add_zero]
convert exp_bound (n := m) h ?_ using 1
· field_simp [mul_comm]
· omega
theorem exp_approx_succ {n} {x a₁ b₁ : ℝ} (m : ℕ) (e₁ : n + 1 = m) (a₂ b₂ : ℝ)
(e : |1 + x / m * a₂ - a₁| ≤ b₁ - |x| / m * b₂)
(h : |exp x - expNear m x a₂| ≤ |x| ^ m / m.factorial * b₂) :
|exp x - expNear n x a₁| ≤ |x| ^ n / n.factorial * b₁ := by
refine (abs_sub_le _ _ _).trans ((add_le_add_right h _).trans ?_)
subst e₁; rw [expNear_succ, expNear_sub, abs_mul]
convert mul_le_mul_of_nonneg_left (a := |x| ^ n / ↑(Nat.factorial n))
(le_sub_iff_add_le'.1 e) ?_ using 1
· simp [mul_add, pow_succ', div_eq_mul_inv, abs_mul, abs_inv, ← pow_abs, mul_inv, Nat.factorial]
ac_rfl
· simp [div_nonneg, abs_nonneg]
theorem exp_approx_end' {n} {x a b : ℝ} (m : ℕ) (e₁ : n + 1 = m) (rm : ℝ) (er : ↑m = rm)
(h : |x| ≤ 1) (e : |1 - a| ≤ b - |x| / rm * ((rm + 1) / rm)) :
|exp x - expNear n x a| ≤ |x| ^ n / n.factorial * b := by
subst er
exact exp_approx_succ _ e₁ _ _ (by simpa using e) (exp_approx_end _ _ _ e₁ h)
theorem exp_1_approx_succ_eq {n} {a₁ b₁ : ℝ} {m : ℕ} (en : n + 1 = m) {rm : ℝ} (er : ↑m = rm)
(h : |exp 1 - expNear m 1 ((a₁ - 1) * rm)| ≤ |1| ^ m / m.factorial * (b₁ * rm)) :
|exp 1 - expNear n 1 a₁| ≤ |1| ^ n / n.factorial * b₁ := by
subst er
refine exp_approx_succ _ en _ _ ?_ h
field_simp [show (m : ℝ) ≠ 0 by norm_cast; omega]
theorem exp_approx_start (x a b : ℝ) (h : |exp x - expNear 0 x a| ≤ |x| ^ 0 / Nat.factorial 0 * b) :
|exp x - a| ≤ b := by simpa using h
theorem exp_bound_div_one_sub_of_interval' {x : ℝ} (h1 : 0 < x) (h2 : x < 1) :
Real.exp x < 1 / (1 - x) := by
have H : 0 < 1 - (1 + x + x ^ 2) * (1 - x) := calc
0 < x ^ 3 := by positivity
_ = 1 - (1 + x + x ^ 2) * (1 - x) := by ring
calc
exp x ≤ _ := exp_bound' h1.le h2.le zero_lt_three
_ ≤ 1 + x + x ^ 2 := by
-- Porting note: was `norm_num [Finset.sum] <;> nlinarith`
-- This proof should be restored after the norm_num plugin for big operators is ported.
-- (It may also need the positivity extensions in https://github.com/leanprover-community/mathlib4/pull/3907.)
rw [show 3 = 1 + 1 + 1 from rfl]
repeat rw [Finset.sum_range_succ]
norm_num [Nat.factorial]
nlinarith
_ < 1 / (1 - x) := by rw [lt_div_iff₀] <;> nlinarith
theorem exp_bound_div_one_sub_of_interval {x : ℝ} (h1 : 0 ≤ x) (h2 : x < 1) :
Real.exp x ≤ 1 / (1 - x) := by
rcases eq_or_lt_of_le h1 with (rfl | h1)
· simp
· exact (exp_bound_div_one_sub_of_interval' h1 h2).le
theorem add_one_lt_exp {x : ℝ} (hx : x ≠ 0) : x + 1 < Real.exp x := by
obtain hx | hx := hx.symm.lt_or_lt
· exact add_one_lt_exp_of_pos hx
obtain h' | h' := le_or_lt 1 (-x)
· linarith [x.exp_pos]
have hx' : 0 < x + 1 := by linarith
simpa [add_comm, exp_neg, inv_lt_inv₀ (exp_pos _) hx']
using exp_bound_div_one_sub_of_interval' (neg_pos.2 hx) h'
theorem add_one_le_exp (x : ℝ) : x + 1 ≤ Real.exp x := by
obtain rfl | hx := eq_or_ne x 0
· simp
· exact (add_one_lt_exp hx).le
lemma one_sub_lt_exp_neg {x : ℝ} (hx : x ≠ 0) : 1 - x < exp (-x) :=
(sub_eq_neg_add _ _).trans_lt <| add_one_lt_exp <| neg_ne_zero.2 hx
lemma one_sub_le_exp_neg (x : ℝ) : 1 - x ≤ exp (-x) :=
(sub_eq_neg_add _ _).trans_le <| add_one_le_exp _
theorem one_sub_div_pow_le_exp_neg {n : ℕ} {t : ℝ} (ht' : t ≤ n) : (1 - t / n) ^ n ≤ exp (-t) := by
rcases eq_or_ne n 0 with (rfl | hn)
· simp
rwa [Nat.cast_zero] at ht'
calc
(1 - t / n) ^ n ≤ rexp (-(t / n)) ^ n := by
gcongr
· exact sub_nonneg.2 <| div_le_one_of_le₀ ht' n.cast_nonneg
· exact one_sub_le_exp_neg _
_ = rexp (-t) := by rw [← Real.exp_nat_mul, mul_neg, mul_comm, div_mul_cancel₀]; positivity
lemma le_inv_mul_exp (x : ℝ) {c : ℝ} (hc : 0 < c) : x ≤ c⁻¹ * exp (c * x) := by
rw [le_inv_mul_iff₀ hc]
calc c * x
_ ≤ c * x + 1 := le_add_of_nonneg_right zero_le_one
_ ≤ _ := Real.add_one_le_exp (c * x)
end Real
namespace Mathlib.Meta.Positivity
open Lean.Meta Qq
/-- Extension for the `positivity` tactic: `Real.exp` is always positive. -/
@[positivity Real.exp _]
def evalExp : PositivityExt where eval {u α} _ _ e := do
match u, α, e with
| 0, ~q(ℝ), ~q(Real.exp $a) =>
assertInstancesCommute
pure (.positive q(Real.exp_pos $a))
| _, _, _ => throwError "not Real.exp"
end Mathlib.Meta.Positivity
namespace Complex
@[simp]
theorem norm_exp_ofReal (x : ℝ) : ‖exp x‖ = Real.exp x := by
rw [← ofReal_exp]
exact Complex.norm_of_nonneg (le_of_lt (Real.exp_pos _))
@[deprecated (since := "2025-02-16")] alias abs_exp_ofReal := norm_exp_ofReal
end Complex
| Mathlib/Data/Complex/Exponential.lean | 724 | 726 | |
/-
Copyright (c) 2018 Sean Leather. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sean Leather, Mario Carneiro
-/
import Mathlib.Data.List.AList
import Mathlib.Data.Finset.Sigma
import Mathlib.Data.Part
/-!
# Finite maps over `Multiset`
-/
universe u v w
open List
variable {α : Type u} {β : α → Type v}
/-! ### Multisets of sigma types -/
namespace Multiset
/-- Multiset of keys of an association multiset. -/
def keys (s : Multiset (Sigma β)) : Multiset α :=
s.map Sigma.fst
@[simp]
theorem coe_keys {l : List (Sigma β)} : keys (l : Multiset (Sigma β)) = (l.keys : Multiset α) :=
rfl
@[simp]
theorem keys_zero : keys (0 : Multiset (Sigma β)) = 0 := rfl
@[simp]
theorem keys_cons {a : α} {b : β a} {s : Multiset (Sigma β)} :
keys (⟨a, b⟩ ::ₘ s) = a ::ₘ keys s := by
simp [keys]
@[simp]
theorem keys_singleton {a : α} {b : β a} : keys ({⟨a, b⟩} : Multiset (Sigma β)) = {a} := rfl
/-- `NodupKeys s` means that `s` has no duplicate keys. -/
def NodupKeys (s : Multiset (Sigma β)) : Prop :=
Quot.liftOn s List.NodupKeys fun _ _ p => propext <| perm_nodupKeys p
@[simp]
theorem coe_nodupKeys {l : List (Sigma β)} : @NodupKeys α β l ↔ l.NodupKeys :=
Iff.rfl
lemma nodup_keys {m : Multiset (Σ a, β a)} : m.keys.Nodup ↔ m.NodupKeys := by
rcases m with ⟨l⟩; rfl
alias ⟨_, NodupKeys.nodup_keys⟩ := nodup_keys
protected lemma NodupKeys.nodup {m : Multiset (Σ a, β a)} (h : m.NodupKeys) : m.Nodup :=
h.nodup_keys.of_map _
end Multiset
/-! ### Finmap -/
/-- `Finmap β` is the type of finite maps over a multiset. It is effectively
a quotient of `AList β` by permutation of the underlying list. -/
structure Finmap (β : α → Type v) : Type max u v where
/-- The underlying `Multiset` of a `Finmap` -/
entries : Multiset (Sigma β)
/-- There are no duplicate keys in `entries` -/
nodupKeys : entries.NodupKeys
/-- The quotient map from `AList` to `Finmap`. -/
def AList.toFinmap (s : AList β) : Finmap β :=
⟨s.entries, s.nodupKeys⟩
local notation:arg "⟦" a "⟧" => AList.toFinmap a
theorem AList.toFinmap_eq {s₁ s₂ : AList β} :
toFinmap s₁ = toFinmap s₂ ↔ s₁.entries ~ s₂.entries := by
cases s₁
cases s₂
simp [AList.toFinmap]
@[simp]
theorem AList.toFinmap_entries (s : AList β) : ⟦s⟧.entries = s.entries :=
rfl
/-- Given `l : List (Sigma β)`, create a term of type `Finmap β` by removing
entries with duplicate keys. -/
def List.toFinmap [DecidableEq α] (s : List (Sigma β)) : Finmap β :=
s.toAList.toFinmap
namespace Finmap
open AList
lemma nodup_entries (f : Finmap β) : f.entries.Nodup := f.nodupKeys.nodup
/-! ### Lifting from AList -/
/-- Lift a permutation-respecting function on `AList` to `Finmap`. -/
def liftOn {γ} (s : Finmap β) (f : AList β → γ)
(H : ∀ a b : AList β, a.entries ~ b.entries → f a = f b) : γ := by
refine
(Quotient.liftOn s.entries
(fun (l : List (Sigma β)) => (⟨_, fun nd => f ⟨l, nd⟩⟩ : Part γ))
(fun l₁ l₂ p => Part.ext' (perm_nodupKeys p) ?_) : Part γ).get ?_
· exact fun h1 h2 => H _ _ p
· have := s.nodupKeys
revert this
rcases s.entries with ⟨l⟩
exact id
@[simp]
theorem liftOn_toFinmap {γ} (s : AList β) (f : AList β → γ) (H) : liftOn ⟦s⟧ f H = f s := by
cases s
rfl
/-- Lift a permutation-respecting function on 2 `AList`s to 2 `Finmap`s. -/
def liftOn₂ {γ} (s₁ s₂ : Finmap β) (f : AList β → AList β → γ)
(H : ∀ a₁ b₁ a₂ b₂ : AList β,
a₁.entries ~ a₂.entries → b₁.entries ~ b₂.entries → f a₁ b₁ = f a₂ b₂) : γ :=
liftOn s₁ (fun l₁ => liftOn s₂ (f l₁) fun _ _ p => H _ _ _ _ (Perm.refl _) p) fun a₁ a₂ p => by
have H' : f a₁ = f a₂ := funext fun _ => H _ _ _ _ p (Perm.refl _)
simp only [H']
@[simp]
theorem liftOn₂_toFinmap {γ} (s₁ s₂ : AList β) (f : AList β → AList β → γ) (H) :
liftOn₂ ⟦s₁⟧ ⟦s₂⟧ f H = f s₁ s₂ := by
cases s₁; cases s₂; rfl
/-! ### Induction -/
@[elab_as_elim]
theorem induction_on {C : Finmap β → Prop} (s : Finmap β) (H : ∀ a : AList β, C ⟦a⟧) : C s := by
rcases s with ⟨⟨a⟩, h⟩; exact H ⟨a, h⟩
@[elab_as_elim]
theorem induction_on₂ {C : Finmap β → Finmap β → Prop} (s₁ s₂ : Finmap β)
(H : ∀ a₁ a₂ : AList β, C ⟦a₁⟧ ⟦a₂⟧) : C s₁ s₂ :=
induction_on s₁ fun l₁ => induction_on s₂ fun l₂ => H l₁ l₂
@[elab_as_elim]
theorem induction_on₃ {C : Finmap β → Finmap β → Finmap β → Prop} (s₁ s₂ s₃ : Finmap β)
(H : ∀ a₁ a₂ a₃ : AList β, C ⟦a₁⟧ ⟦a₂⟧ ⟦a₃⟧) : C s₁ s₂ s₃ :=
induction_on₂ s₁ s₂ fun l₁ l₂ => induction_on s₃ fun l₃ => H l₁ l₂ l₃
/-! ### extensionality -/
@[ext]
theorem ext : ∀ {s t : Finmap β}, s.entries = t.entries → s = t
| ⟨l₁, h₁⟩, ⟨l₂, _⟩, H => by congr
@[simp]
theorem ext_iff' {s t : Finmap β} : s.entries = t.entries ↔ s = t :=
Finmap.ext_iff.symm
/-! ### mem -/
/-- The predicate `a ∈ s` means that `s` has a value associated to the key `a`. -/
instance : Membership α (Finmap β) :=
⟨fun s a => a ∈ s.entries.keys⟩
theorem mem_def {a : α} {s : Finmap β} : a ∈ s ↔ a ∈ s.entries.keys :=
Iff.rfl
@[simp]
theorem mem_toFinmap {a : α} {s : AList β} : a ∈ toFinmap s ↔ a ∈ s :=
Iff.rfl
/-! ### keys -/
/-- The set of keys of a finite map. -/
def keys (s : Finmap β) : Finset α :=
⟨s.entries.keys, s.nodupKeys.nodup_keys⟩
@[simp]
theorem keys_val (s : AList β) : (keys ⟦s⟧).val = s.keys :=
rfl
@[simp]
theorem keys_ext {s₁ s₂ : AList β} : keys ⟦s₁⟧ = keys ⟦s₂⟧ ↔ s₁.keys ~ s₂.keys := by
simp [keys, AList.keys]
theorem mem_keys {a : α} {s : Finmap β} : a ∈ s.keys ↔ a ∈ s :=
induction_on s fun _ => AList.mem_keys
/-! ### empty -/
/-- The empty map. -/
instance : EmptyCollection (Finmap β) :=
⟨⟨0, nodupKeys_nil⟩⟩
instance : Inhabited (Finmap β) :=
⟨∅⟩
@[simp]
theorem empty_toFinmap : (⟦∅⟧ : Finmap β) = ∅ :=
rfl
@[simp]
theorem toFinmap_nil [DecidableEq α] : ([].toFinmap : Finmap β) = ∅ :=
rfl
theorem not_mem_empty {a : α} : a ∉ (∅ : Finmap β) :=
Multiset.not_mem_zero a
@[simp]
theorem keys_empty : (∅ : Finmap β).keys = ∅ :=
rfl
/-! ### singleton -/
/-- The singleton map. -/
def singleton (a : α) (b : β a) : Finmap β :=
⟦AList.singleton a b⟧
@[simp]
theorem keys_singleton (a : α) (b : β a) : (singleton a b).keys = {a} :=
rfl
@[simp]
theorem mem_singleton (x y : α) (b : β y) : x ∈ singleton y b ↔ x = y := by
simp [singleton, mem_def]
section
variable [DecidableEq α]
instance decidableEq [∀ a, DecidableEq (β a)] : DecidableEq (Finmap β)
| _, _ => decidable_of_iff _ Finmap.ext_iff.symm
/-! ### lookup -/
/-- Look up the value associated to a key in a map. -/
def lookup (a : α) (s : Finmap β) : Option (β a) :=
liftOn s (AList.lookup a) fun _ _ => perm_lookup
@[simp]
theorem lookup_toFinmap (a : α) (s : AList β) : lookup a ⟦s⟧ = s.lookup a :=
rfl
@[simp]
theorem dlookup_list_toFinmap (a : α) (s : List (Sigma β)) : lookup a s.toFinmap = s.dlookup a := by
rw [List.toFinmap, lookup_toFinmap, lookup_to_alist]
@[simp]
theorem lookup_empty (a) : lookup a (∅ : Finmap β) = none :=
rfl
theorem lookup_isSome {a : α} {s : Finmap β} : (s.lookup a).isSome ↔ a ∈ s :=
induction_on s fun _ => AList.lookup_isSome
theorem lookup_eq_none {a} {s : Finmap β} : lookup a s = none ↔ a ∉ s :=
induction_on s fun _ => AList.lookup_eq_none
lemma mem_lookup_iff {s : Finmap β} {a : α} {b : β a} :
b ∈ s.lookup a ↔ Sigma.mk a b ∈ s.entries := by
rcases s with ⟨⟨l⟩, hl⟩; exact List.mem_dlookup_iff hl
lemma lookup_eq_some_iff {s : Finmap β} {a : α} {b : β a} :
s.lookup a = b ↔ Sigma.mk a b ∈ s.entries := mem_lookup_iff
@[simp] lemma sigma_keys_lookup (s : Finmap β) :
s.keys.sigma (fun i => (s.lookup i).toFinset) = ⟨s.entries, s.nodup_entries⟩ := by
ext x
have : x ∈ s.entries → x.1 ∈ s.keys := Multiset.mem_map_of_mem _
simpa [lookup_eq_some_iff]
@[simp]
theorem lookup_singleton_eq {a : α} {b : β a} : (singleton a b).lookup a = some b := by
rw [singleton, lookup_toFinmap, AList.singleton, AList.lookup, dlookup_cons_eq]
instance (a : α) (s : Finmap β) : Decidable (a ∈ s) :=
decidable_of_iff _ lookup_isSome
theorem mem_iff {a : α} {s : Finmap β} : a ∈ s ↔ ∃ b, s.lookup a = some b :=
induction_on s fun s =>
Iff.trans List.mem_keys <| exists_congr fun _ => (mem_dlookup_iff s.nodupKeys).symm
theorem mem_of_lookup_eq_some {a : α} {b : β a} {s : Finmap β} (h : s.lookup a = some b) : a ∈ s :=
mem_iff.mpr ⟨_, h⟩
theorem ext_lookup {s₁ s₂ : Finmap β} : (∀ x, s₁.lookup x = s₂.lookup x) → s₁ = s₂ :=
induction_on₂ s₁ s₂ fun s₁ s₂ h => by
simp only [AList.lookup, lookup_toFinmap] at h
rw [AList.toFinmap_eq]
apply lookup_ext s₁.nodupKeys s₂.nodupKeys
intro x y
rw [h]
|
/-- An equivalence between `Finmap β` and pairs `(keys : Finset α, lookup : ∀ a, Option (β a))` such
that `(lookup a).isSome ↔ a ∈ keys`. -/
| Mathlib/Data/Finmap.lean | 290 | 292 |
/-
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.RingTheory.Ideal.AssociatedPrime.Basic
import Mathlib.Tactic.Linter.DeprecatedModule
deprecated_module (since := "2025-04-20")
| Mathlib/RingTheory/Ideal/AssociatedPrime.lean | 132 | 142 | |
/-
Copyright (c) 2018 Johan Commelin. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johan Commelin
-/
import Mathlib.Algebra.BigOperators.Expect
import Mathlib.Algebra.Order.BigOperators.Ring.Finset
import Mathlib.Algebra.Order.Field.Canonical
import Mathlib.Algebra.Order.Nonneg.Floor
import Mathlib.Data.Real.Pointwise
import Mathlib.Data.NNReal.Defs
import Mathlib.Order.ConditionallyCompleteLattice.Group
/-!
# Basic results on nonnegative real numbers
This file contains all results on `NNReal` that do not directly follow from its basic structure.
As a consequence, it is a bit of a random collection of results, and is a good target for cleanup.
## Notations
This file uses `ℝ≥0` as a localized notation for `NNReal`.
-/
assert_not_exists Star
open Function
open scoped BigOperators
namespace NNReal
noncomputable instance : FloorSemiring ℝ≥0 := Nonneg.floorSemiring
@[simp, norm_cast]
theorem coe_indicator {α} (s : Set α) (f : α → ℝ≥0) (a : α) :
((s.indicator f a : ℝ≥0) : ℝ) = s.indicator (fun x => ↑(f x)) a :=
(toRealHom : ℝ≥0 →+ ℝ).map_indicator _ _ _
@[norm_cast]
theorem coe_list_sum (l : List ℝ≥0) : ((l.sum : ℝ≥0) : ℝ) = (l.map (↑)).sum :=
map_list_sum toRealHom l
@[norm_cast]
theorem coe_list_prod (l : List ℝ≥0) : ((l.prod : ℝ≥0) : ℝ) = (l.map (↑)).prod :=
map_list_prod toRealHom l
@[norm_cast]
theorem coe_multiset_sum (s : Multiset ℝ≥0) : ((s.sum : ℝ≥0) : ℝ) = (s.map (↑)).sum :=
map_multiset_sum toRealHom s
@[norm_cast]
theorem coe_multiset_prod (s : Multiset ℝ≥0) : ((s.prod : ℝ≥0) : ℝ) = (s.map (↑)).prod :=
map_multiset_prod toRealHom s
variable {ι : Type*} {s : Finset ι} {f : ι → ℝ}
@[simp, norm_cast]
theorem coe_sum (s : Finset ι) (f : ι → ℝ≥0) : ∑ i ∈ s, f i = ∑ i ∈ s, (f i : ℝ) :=
map_sum toRealHom _ _
@[simp, norm_cast]
lemma coe_expect (s : Finset ι) (f : ι → ℝ≥0) : 𝔼 i ∈ s, f i = 𝔼 i ∈ s, (f i : ℝ) :=
map_expect toRealHom ..
theorem _root_.Real.toNNReal_sum_of_nonneg (hf : ∀ i ∈ s, 0 ≤ f i) :
Real.toNNReal (∑ a ∈ s, f a) = ∑ a ∈ s, Real.toNNReal (f a) := by
rw [← coe_inj, NNReal.coe_sum, Real.coe_toNNReal _ (Finset.sum_nonneg hf)]
exact Finset.sum_congr rfl fun x hxs => by rw [Real.coe_toNNReal _ (hf x hxs)]
@[simp, norm_cast]
theorem coe_prod (s : Finset ι) (f : ι → ℝ≥0) : ↑(∏ a ∈ s, f a) = ∏ a ∈ s, (f a : ℝ) :=
map_prod toRealHom _ _
theorem _root_.Real.toNNReal_prod_of_nonneg (hf : ∀ a, a ∈ s → 0 ≤ f a) :
Real.toNNReal (∏ a ∈ s, f a) = ∏ a ∈ s, Real.toNNReal (f a) := by
rw [← coe_inj, NNReal.coe_prod, Real.coe_toNNReal _ (Finset.prod_nonneg hf)]
exact Finset.prod_congr rfl fun x hxs => by rw [Real.coe_toNNReal _ (hf x hxs)]
theorem le_iInf_add_iInf {ι ι' : Sort*} [Nonempty ι] [Nonempty ι'] {f : ι → ℝ≥0} {g : ι' → ℝ≥0}
{a : ℝ≥0} (h : ∀ i j, a ≤ f i + g j) : a ≤ (⨅ i, f i) + ⨅ j, g j := by
rw [← NNReal.coe_le_coe, NNReal.coe_add, coe_iInf, coe_iInf]
exact le_ciInf_add_ciInf h
theorem mul_finset_sup {α} (r : ℝ≥0) (s : Finset α) (f : α → ℝ≥0) :
r * s.sup f = s.sup fun a => r * f a :=
Finset.comp_sup_eq_sup_comp _ (NNReal.mul_sup r) (mul_zero r)
theorem finset_sup_mul {α} (s : Finset α) (f : α → ℝ≥0) (r : ℝ≥0) :
s.sup f * r = s.sup fun a => f a * r :=
Finset.comp_sup_eq_sup_comp (· * r) (fun x y => NNReal.sup_mul x y r) (zero_mul r)
theorem finset_sup_div {α} {f : α → ℝ≥0} {s : Finset α} (r : ℝ≥0) :
s.sup f / r = s.sup fun a => f a / r := by simp only [div_eq_inv_mul, mul_finset_sup]
open Real
section Sub
/-!
### Lemmas about subtraction
In this section we provide a few lemmas about subtraction that do not fit well into any other
typeclass. For lemmas about subtraction and addition see lemmas about `OrderedSub` in the file
`Mathlib.Algebra.Order.Sub.Basic`. See also `mul_tsub` and `tsub_mul`.
-/
theorem sub_div (a b c : ℝ≥0) : (a - b) / c = a / c - b / c :=
tsub_div _ _ _
end Sub
section Csupr
open Set
variable {ι : Sort*} {f : ι → ℝ≥0}
theorem iInf_mul (f : ι → ℝ≥0) (a : ℝ≥0) : iInf f * a = ⨅ i, f i * a := by
rw [← coe_inj, NNReal.coe_mul, coe_iInf, coe_iInf]
exact Real.iInf_mul_of_nonneg (NNReal.coe_nonneg _) _
theorem mul_iInf (f : ι → ℝ≥0) (a : ℝ≥0) : a * iInf f = ⨅ i, a * f i := by
simpa only [mul_comm] using iInf_mul f a
theorem mul_iSup (f : ι → ℝ≥0) (a : ℝ≥0) : (a * ⨆ i, f i) = ⨆ i, a * f i := by
rw [← coe_inj, NNReal.coe_mul, NNReal.coe_iSup, NNReal.coe_iSup]
exact Real.mul_iSup_of_nonneg (NNReal.coe_nonneg _) _
theorem iSup_mul (f : ι → ℝ≥0) (a : ℝ≥0) : (⨆ i, f i) * a = ⨆ i, f i * a := by
rw [mul_comm, mul_iSup]
simp_rw [mul_comm]
theorem iSup_div (f : ι → ℝ≥0) (a : ℝ≥0) : (⨆ i, f i) / a = ⨆ i, f i / a := by
simp only [div_eq_mul_inv, iSup_mul]
theorem mul_iSup_le {a : ℝ≥0} {g : ℝ≥0} {h : ι → ℝ≥0} (H : ∀ j, g * h j ≤ a) : g * iSup h ≤ a := by
rw [mul_iSup]
exact ciSup_le' H
theorem iSup_mul_le {a : ℝ≥0} {g : ι → ℝ≥0} {h : ℝ≥0} (H : ∀ i, g i * h ≤ a) : iSup g * h ≤ a := by
rw [iSup_mul]
exact ciSup_le' H
theorem iSup_mul_iSup_le {a : ℝ≥0} {g h : ι → ℝ≥0} (H : ∀ i j, g i * h j ≤ a) :
iSup g * iSup h ≤ a :=
iSup_mul_le fun _ => mul_iSup_le <| H _
variable [Nonempty ι]
theorem le_mul_iInf {a : ℝ≥0} {g : ℝ≥0} {h : ι → ℝ≥0} (H : ∀ j, a ≤ g * h j) : a ≤ g * iInf h := by
rw [mul_iInf]
exact le_ciInf H
theorem le_iInf_mul {a : ℝ≥0} {g : ι → ℝ≥0} {h : ℝ≥0} (H : ∀ i, a ≤ g i * h) : a ≤ iInf g * h := by
rw [iInf_mul]
exact le_ciInf H
theorem le_iInf_mul_iInf {a : ℝ≥0} {g h : ι → ℝ≥0} (H : ∀ i j, a ≤ g i * h j) :
a ≤ iInf g * iInf h :=
le_iInf_mul fun i => le_mul_iInf <| H i
end Csupr
end NNReal
| Mathlib/Data/NNReal/Basic.lean | 763 | 765 | |
/-
Copyright (c) 2023 Joël Riou. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Joël Riou
-/
import Mathlib.Algebra.Homology.ShortComplex.PreservesHomology
import Mathlib.Algebra.Homology.ShortComplex.Abelian
import Mathlib.Algebra.Homology.ShortComplex.QuasiIso
import Mathlib.CategoryTheory.Abelian.Opposite
import Mathlib.CategoryTheory.Preadditive.AdditiveFunctor
import Mathlib.CategoryTheory.Preadditive.Injective.Basic
/-!
# Exact short complexes
When `S : ShortComplex C`, this file defines a structure
`S.Exact` which expresses the exactness of `S`, i.e. there
exists a homology data `h : S.HomologyData` such that
`h.left.H` is zero. When `[S.HasHomology]`, it is equivalent
to the assertion `IsZero S.homology`.
Almost by construction, this notion of exactness is self dual,
see `Exact.op` and `Exact.unop`.
-/
namespace CategoryTheory
open Category Limits ZeroObject Preadditive
variable {C D : Type*} [Category C] [Category D]
namespace ShortComplex
section
variable
[HasZeroMorphisms C] [HasZeroMorphisms D] (S : ShortComplex C) {S₁ S₂ : ShortComplex C}
/-- The assertion that the short complex `S : ShortComplex C` is exact. -/
structure Exact : Prop where
/-- the condition that there exists an homology data whose `left.H` field is zero -/
condition : ∃ (h : S.HomologyData), IsZero h.left.H
variable {S}
lemma Exact.hasHomology (h : S.Exact) : S.HasHomology :=
HasHomology.mk' h.condition.choose
lemma Exact.hasZeroObject (h : S.Exact) : HasZeroObject C :=
⟨h.condition.choose.left.H, h.condition.choose_spec⟩
variable (S)
lemma exact_iff_isZero_homology [S.HasHomology] :
S.Exact ↔ IsZero S.homology := by
constructor
· rintro ⟨⟨h', z⟩⟩
exact IsZero.of_iso z h'.left.homologyIso
· intro h
exact ⟨⟨_, h⟩⟩
variable {S}
lemma LeftHomologyData.exact_iff [S.HasHomology]
(h : S.LeftHomologyData) :
S.Exact ↔ IsZero h.H := by
rw [S.exact_iff_isZero_homology]
exact Iso.isZero_iff h.homologyIso
lemma RightHomologyData.exact_iff [S.HasHomology]
(h : S.RightHomologyData) :
S.Exact ↔ IsZero h.H := by
rw [S.exact_iff_isZero_homology]
exact Iso.isZero_iff h.homologyIso
variable (S)
lemma exact_iff_isZero_leftHomology [S.HasHomology] :
S.Exact ↔ IsZero S.leftHomology :=
LeftHomologyData.exact_iff _
lemma exact_iff_isZero_rightHomology [S.HasHomology] :
S.Exact ↔ IsZero S.rightHomology :=
RightHomologyData.exact_iff _
variable {S}
lemma HomologyData.exact_iff (h : S.HomologyData) :
S.Exact ↔ IsZero h.left.H := by
haveI := HasHomology.mk' h
exact LeftHomologyData.exact_iff h.left
lemma HomologyData.exact_iff' (h : S.HomologyData) :
S.Exact ↔ IsZero h.right.H := by
haveI := HasHomology.mk' h
exact RightHomologyData.exact_iff h.right
variable (S)
lemma exact_iff_homology_iso_zero [S.HasHomology] [HasZeroObject C] :
S.Exact ↔ Nonempty (S.homology ≅ 0) := by
rw [exact_iff_isZero_homology]
constructor
· intro h
exact ⟨h.isoZero⟩
· rintro ⟨e⟩
exact IsZero.of_iso (isZero_zero C) e
lemma exact_of_iso (e : S₁ ≅ S₂) (h : S₁.Exact) : S₂.Exact := by
obtain ⟨⟨h, z⟩⟩ := h
exact ⟨⟨HomologyData.ofIso e h, z⟩⟩
lemma exact_iff_of_iso (e : S₁ ≅ S₂) : S₁.Exact ↔ S₂.Exact :=
⟨exact_of_iso e, exact_of_iso e.symm⟩
lemma exact_and_mono_f_iff_of_iso (e : S₁ ≅ S₂) :
S₁.Exact ∧ Mono S₁.f ↔ S₂.Exact ∧ Mono S₂.f := by
have : Mono S₁.f ↔ Mono S₂.f :=
(MorphismProperty.monomorphisms C).arrow_mk_iso_iff
(Arrow.isoMk (ShortComplex.π₁.mapIso e) (ShortComplex.π₂.mapIso e) e.hom.comm₁₂)
rw [exact_iff_of_iso e, this]
lemma exact_and_epi_g_iff_of_iso (e : S₁ ≅ S₂) :
S₁.Exact ∧ Epi S₁.g ↔ S₂.Exact ∧ Epi S₂.g := by
have : Epi S₁.g ↔ Epi S₂.g :=
(MorphismProperty.epimorphisms C).arrow_mk_iso_iff
(Arrow.isoMk (ShortComplex.π₂.mapIso e) (ShortComplex.π₃.mapIso e) e.hom.comm₂₃)
rw [exact_iff_of_iso e, this]
lemma exact_of_isZero_X₂ (h : IsZero S.X₂) : S.Exact := by
rw [(HomologyData.ofZeros S (IsZero.eq_of_tgt h _ _) (IsZero.eq_of_src h _ _)).exact_iff]
exact h
lemma exact_iff_of_epi_of_isIso_of_mono (φ : S₁ ⟶ S₂) [Epi φ.τ₁] [IsIso φ.τ₂] [Mono φ.τ₃] :
S₁.Exact ↔ S₂.Exact := by
constructor
· rintro ⟨h₁, z₁⟩
exact ⟨HomologyData.ofEpiOfIsIsoOfMono φ h₁, z₁⟩
· rintro ⟨h₂, z₂⟩
exact ⟨HomologyData.ofEpiOfIsIsoOfMono' φ h₂, z₂⟩
variable {S}
lemma HomologyData.exact_iff_i_p_zero (h : S.HomologyData) :
S.Exact ↔ h.left.i ≫ h.right.p = 0 := by
haveI := HasHomology.mk' h
rw [h.left.exact_iff, ← h.comm]
constructor
· intro z
rw [IsZero.eq_of_src z h.iso.hom 0, zero_comp, comp_zero]
· intro eq
simp only [IsZero.iff_id_eq_zero, ← cancel_mono h.iso.hom, id_comp, ← cancel_mono h.right.ι,
← cancel_epi h.left.π, eq, zero_comp, comp_zero]
variable (S)
lemma exact_iff_i_p_zero [S.HasHomology] (h₁ : S.LeftHomologyData)
(h₂ : S.RightHomologyData) :
S.Exact ↔ h₁.i ≫ h₂.p = 0 :=
(HomologyData.ofIsIsoLeftRightHomologyComparison' h₁ h₂).exact_iff_i_p_zero
lemma exact_iff_iCycles_pOpcycles_zero [S.HasHomology] :
S.Exact ↔ S.iCycles ≫ S.pOpcycles = 0 :=
S.exact_iff_i_p_zero _ _
lemma exact_iff_kernel_ι_comp_cokernel_π_zero [S.HasHomology]
[HasKernel S.g] [HasCokernel S.f] :
S.Exact ↔ kernel.ι S.g ≫ cokernel.π S.f = 0 := by
haveI := HasLeftHomology.hasCokernel S
haveI := HasRightHomology.hasKernel S
exact S.exact_iff_i_p_zero (LeftHomologyData.ofHasKernelOfHasCokernel S)
(RightHomologyData.ofHasCokernelOfHasKernel S)
variable {S}
lemma Exact.op (h : S.Exact) : S.op.Exact := by
obtain ⟨h, z⟩ := h
exact ⟨⟨h.op, (IsZero.of_iso z h.iso.symm).op⟩⟩
lemma Exact.unop {S : ShortComplex Cᵒᵖ} (h : S.Exact) : S.unop.Exact := by
obtain ⟨h, z⟩ := h
exact ⟨⟨h.unop, (IsZero.of_iso z h.iso.symm).unop⟩⟩
variable (S)
@[simp]
lemma exact_op_iff : S.op.Exact ↔ S.Exact :=
⟨Exact.unop, Exact.op⟩
@[simp]
lemma exact_unop_iff (S : ShortComplex Cᵒᵖ) : S.unop.Exact ↔ S.Exact :=
S.unop.exact_op_iff.symm
variable {S}
lemma LeftHomologyData.exact_map_iff (h : S.LeftHomologyData) (F : C ⥤ D)
[F.PreservesZeroMorphisms] [h.IsPreservedBy F] [(S.map F).HasHomology] :
(S.map F).Exact ↔ IsZero (F.obj h.H) :=
(h.map F).exact_iff
lemma RightHomologyData.exact_map_iff (h : S.RightHomologyData) (F : C ⥤ D)
[F.PreservesZeroMorphisms] [h.IsPreservedBy F] [(S.map F).HasHomology] :
(S.map F).Exact ↔ IsZero (F.obj h.H) :=
(h.map F).exact_iff
lemma Exact.map_of_preservesLeftHomologyOf (h : S.Exact) (F : C ⥤ D)
[F.PreservesZeroMorphisms] [F.PreservesLeftHomologyOf S]
[(S.map F).HasHomology] : (S.map F).Exact := by
have := h.hasHomology
rw [S.leftHomologyData.exact_iff, IsZero.iff_id_eq_zero] at h
rw [S.leftHomologyData.exact_map_iff F, IsZero.iff_id_eq_zero,
← F.map_id, h, F.map_zero]
lemma Exact.map_of_preservesRightHomologyOf (h : S.Exact) (F : C ⥤ D)
[F.PreservesZeroMorphisms] [F.PreservesRightHomologyOf S]
[(S.map F).HasHomology] : (S.map F).Exact := by
have : S.HasHomology := h.hasHomology
rw [S.rightHomologyData.exact_iff, IsZero.iff_id_eq_zero] at h
rw [S.rightHomologyData.exact_map_iff F, IsZero.iff_id_eq_zero,
← F.map_id, h, F.map_zero]
lemma Exact.map (h : S.Exact) (F : C ⥤ D)
[F.PreservesZeroMorphisms] [F.PreservesLeftHomologyOf S]
[F.PreservesRightHomologyOf S] : (S.map F).Exact := by
have := h.hasHomology
exact h.map_of_preservesLeftHomologyOf F
variable (S)
lemma exact_map_iff_of_faithful [S.HasHomology]
(F : C ⥤ D) [F.PreservesZeroMorphisms] [F.PreservesLeftHomologyOf S]
[F.PreservesRightHomologyOf S] [F.Faithful] :
(S.map F).Exact ↔ S.Exact := by
constructor
· intro h
rw [S.leftHomologyData.exact_iff, IsZero.iff_id_eq_zero]
rw [(S.leftHomologyData.map F).exact_iff, IsZero.iff_id_eq_zero,
LeftHomologyData.map_H] at h
apply F.map_injective
rw [F.map_id, F.map_zero, h]
· intro h
exact h.map F
variable {S}
@[reassoc]
lemma Exact.comp_eq_zero (h : S.Exact) {X Y : C} {a : X ⟶ S.X₂} (ha : a ≫ S.g = 0)
{b : S.X₂ ⟶ Y} (hb : S.f ≫ b = 0) : a ≫ b = 0 := by
have := h.hasHomology
have eq := h
rw [exact_iff_iCycles_pOpcycles_zero] at eq
rw [← S.liftCycles_i a ha, ← S.p_descOpcycles b hb, assoc, reassoc_of% eq,
zero_comp, comp_zero]
lemma Exact.isZero_of_both_zeros (ex : S.Exact) (hf : S.f = 0) (hg : S.g = 0) :
IsZero S.X₂ :=
(ShortComplex.HomologyData.ofZeros S hf hg).exact_iff.1 ex
end
section Preadditive
variable [Preadditive C] [Preadditive D] (S : ShortComplex C)
lemma exact_iff_mono [HasZeroObject C] (hf : S.f = 0) :
S.Exact ↔ Mono S.g := by
constructor
· intro h
have := h.hasHomology
simp only [exact_iff_isZero_homology] at h
have := S.isIso_pOpcycles hf
have := mono_of_isZero_kernel' _ S.homologyIsKernel h
rw [← S.p_fromOpcycles]
apply mono_comp
· intro
rw [(HomologyData.ofIsLimitKernelFork S hf _
(KernelFork.IsLimit.ofMonoOfIsZero (KernelFork.ofι (0 : 0 ⟶ S.X₂) zero_comp)
inferInstance (isZero_zero C))).exact_iff]
exact isZero_zero C
lemma exact_iff_epi [HasZeroObject C] (hg : S.g = 0) :
S.Exact ↔ Epi S.f := by
constructor
· intro h
have := h.hasHomology
simp only [exact_iff_isZero_homology] at h
haveI := S.isIso_iCycles hg
haveI : Epi S.toCycles := epi_of_isZero_cokernel' _ S.homologyIsCokernel h
rw [← S.toCycles_i]
apply epi_comp
· intro
rw [(HomologyData.ofIsColimitCokernelCofork S hg _
(CokernelCofork.IsColimit.ofEpiOfIsZero (CokernelCofork.ofπ (0 : S.X₂ ⟶ 0) comp_zero)
inferInstance (isZero_zero C))).exact_iff]
exact isZero_zero C
variable {S}
lemma Exact.epi_f' (hS : S.Exact) (h : LeftHomologyData S) : Epi h.f' :=
epi_of_isZero_cokernel' _ h.hπ (by
haveI := hS.hasHomology
dsimp
simpa only [← h.exact_iff] using hS)
lemma Exact.mono_g' (hS : S.Exact) (h : RightHomologyData S) : Mono h.g' :=
mono_of_isZero_kernel' _ h.hι (by
haveI := hS.hasHomology
dsimp
simpa only [← h.exact_iff] using hS)
lemma Exact.epi_toCycles (hS : S.Exact) [S.HasLeftHomology] : Epi S.toCycles :=
hS.epi_f' _
lemma Exact.mono_fromOpcycles (hS : S.Exact) [S.HasRightHomology] : Mono S.fromOpcycles :=
hS.mono_g' _
lemma LeftHomologyData.exact_iff_epi_f' [S.HasHomology] (h : LeftHomologyData S) :
S.Exact ↔ Epi h.f' := by
constructor
· intro hS
exact hS.epi_f' h
· intro
simp only [h.exact_iff, IsZero.iff_id_eq_zero, ← cancel_epi h.π, ← cancel_epi h.f',
comp_id, h.f'_π, comp_zero]
lemma RightHomologyData.exact_iff_mono_g' [S.HasHomology] (h : RightHomologyData S) :
S.Exact ↔ Mono h.g' := by
constructor
· intro hS
exact hS.mono_g' h
· intro
simp only [h.exact_iff, IsZero.iff_id_eq_zero, ← cancel_mono h.ι, ← cancel_mono h.g',
id_comp, h.ι_g', zero_comp]
/-- Given an exact short complex `S` and a limit kernel fork `kf` for `S.g`, this is the
left homology data for `S` with `K := kf.pt` and `H := 0`. -/
@[simps]
noncomputable def Exact.leftHomologyDataOfIsLimitKernelFork
(hS : S.Exact) [HasZeroObject C] (kf : KernelFork S.g) (hkf : IsLimit kf) :
S.LeftHomologyData where
K := kf.pt
H := 0
i := kf.ι
π := 0
wi := kf.condition
hi := IsLimit.ofIsoLimit hkf (Fork.ext (Iso.refl _) (by simp))
wπ := comp_zero
hπ := CokernelCofork.IsColimit.ofEpiOfIsZero _ (by
have := hS.hasHomology
refine ((MorphismProperty.epimorphisms C).arrow_mk_iso_iff ?_).1
hS.epi_toCycles
refine Arrow.isoMk (Iso.refl _)
(IsLimit.conePointUniqueUpToIso S.cyclesIsKernel hkf) ?_
apply Fork.IsLimit.hom_ext hkf
simp [IsLimit.conePointUniqueUpToIso]) (isZero_zero C)
/-- Given an exact short complex `S` and a colimit cokernel cofork `cc` for `S.f`, this is the
right homology data for `S` with `Q := cc.pt` and `H := 0`. -/
@[simps]
noncomputable def Exact.rightHomologyDataOfIsColimitCokernelCofork
(hS : S.Exact) [HasZeroObject C] (cc : CokernelCofork S.f) (hcc : IsColimit cc) :
S.RightHomologyData where
Q := cc.pt
H := 0
p := cc.π
ι := 0
wp := cc.condition
hp := IsColimit.ofIsoColimit hcc (Cofork.ext (Iso.refl _) (by simp))
wι := zero_comp
hι := KernelFork.IsLimit.ofMonoOfIsZero _ (by
have := hS.hasHomology
refine ((MorphismProperty.monomorphisms C).arrow_mk_iso_iff ?_).2
hS.mono_fromOpcycles
refine Arrow.isoMk (IsColimit.coconePointUniqueUpToIso hcc S.opcyclesIsCokernel)
(Iso.refl _) ?_
apply Cofork.IsColimit.hom_ext hcc
simp [IsColimit.coconePointUniqueUpToIso]) (isZero_zero C)
variable (S)
lemma exact_iff_epi_toCycles [S.HasHomology] : S.Exact ↔ Epi S.toCycles :=
S.leftHomologyData.exact_iff_epi_f'
lemma exact_iff_mono_fromOpcycles [S.HasHomology] : S.Exact ↔ Mono S.fromOpcycles :=
S.rightHomologyData.exact_iff_mono_g'
lemma exact_iff_epi_kernel_lift [S.HasHomology] [HasKernel S.g] :
S.Exact ↔ Epi (kernel.lift S.g S.f S.zero) := by
rw [exact_iff_epi_toCycles]
apply (MorphismProperty.epimorphisms C).arrow_mk_iso_iff
exact Arrow.isoMk (Iso.refl _) S.cyclesIsoKernel (by aesop_cat)
lemma exact_iff_mono_cokernel_desc [S.HasHomology] [HasCokernel S.f] :
S.Exact ↔ Mono (cokernel.desc S.f S.g S.zero) := by
rw [exact_iff_mono_fromOpcycles]
refine (MorphismProperty.monomorphisms C).arrow_mk_iso_iff (Iso.symm ?_)
exact Arrow.isoMk S.opcyclesIsoCokernel.symm (Iso.refl _) (by aesop_cat)
lemma QuasiIso.exact_iff {S₁ S₂ : ShortComplex C} (φ : S₁ ⟶ S₂)
[S₁.HasHomology] [S₂.HasHomology] [QuasiIso φ] : S₁.Exact ↔ S₂.Exact := by
simp only [exact_iff_isZero_homology]
exact Iso.isZero_iff (asIso (homologyMap φ))
lemma exact_of_f_is_kernel (hS : IsLimit (KernelFork.ofι S.f S.zero))
[S.HasHomology] : S.Exact := by
rw [exact_iff_epi_toCycles]
have : IsSplitEpi S.toCycles :=
⟨⟨{ section_ := hS.lift (KernelFork.ofι S.iCycles S.iCycles_g)
id := by
rw [← cancel_mono S.iCycles, assoc, toCycles_i, id_comp]
exact Fork.IsLimit.lift_ι hS }⟩⟩
infer_instance
lemma exact_of_g_is_cokernel (hS : IsColimit (CokernelCofork.ofπ S.g S.zero))
[S.HasHomology] : S.Exact := by
rw [exact_iff_mono_fromOpcycles]
have : IsSplitMono S.fromOpcycles :=
⟨⟨{ retraction := hS.desc (CokernelCofork.ofπ S.pOpcycles S.f_pOpcycles)
id := by
rw [← cancel_epi S.pOpcycles, p_fromOpcycles_assoc, comp_id]
exact Cofork.IsColimit.π_desc hS }⟩⟩
infer_instance
variable {S}
lemma Exact.mono_g (hS : S.Exact) (hf : S.f = 0) : Mono S.g := by
have := hS.hasHomology
have := hS.epi_toCycles
have : S.iCycles = 0 := by rw [← cancel_epi S.toCycles, comp_zero, toCycles_i, hf]
apply Preadditive.mono_of_cancel_zero
intro A x₂ hx₂
rw [← S.liftCycles_i x₂ hx₂, this, comp_zero]
lemma Exact.epi_f (hS : S.Exact) (hg : S.g = 0) : Epi S.f := by
have := hS.hasHomology
have := hS.mono_fromOpcycles
have : S.pOpcycles = 0 := by rw [← cancel_mono S.fromOpcycles, zero_comp, p_fromOpcycles, hg]
apply Preadditive.epi_of_cancel_zero
intro A x₂ hx₂
rw [← S.p_descOpcycles x₂ hx₂, this, zero_comp]
lemma Exact.mono_g_iff (hS : S.Exact) : Mono S.g ↔ S.f = 0 := by
constructor
· intro
rw [← cancel_mono S.g, zero, zero_comp]
· exact hS.mono_g
lemma Exact.epi_f_iff (hS : S.Exact) : Epi S.f ↔ S.g = 0 := by
constructor
· intro
rw [← cancel_epi S.f, zero, comp_zero]
· exact hS.epi_f
lemma Exact.isZero_X₂ (hS : S.Exact) (hf : S.f = 0) (hg : S.g = 0) : IsZero S.X₂ := by
have := hS.mono_g hf
rw [IsZero.iff_id_eq_zero, ← cancel_mono S.g, hg, comp_zero, comp_zero]
lemma Exact.isZero_X₂_iff (hS : S.Exact) : IsZero S.X₂ ↔ S.f = 0 ∧ S.g = 0 := by
constructor
· intro h
exact ⟨h.eq_of_tgt _ _, h.eq_of_src _ _⟩
· rintro ⟨hf, hg⟩
exact hS.isZero_X₂ hf hg
variable (S)
/-- A splitting for a short complex `S` consists of the data of a retraction `r : X₂ ⟶ X₁`
of `S.f` and section `s : X₃ ⟶ X₂` of `S.g` which satisfy `r ≫ S.f + S.g ≫ s = 𝟙 _` -/
structure Splitting (S : ShortComplex C) where
/-- a retraction of `S.f` -/
r : S.X₂ ⟶ S.X₁
/-- a section of `S.g` -/
s : S.X₃ ⟶ S.X₂
/-- the condition that `r` is a retraction of `S.f` -/
f_r : S.f ≫ r = 𝟙 _ := by aesop_cat
/-- the condition that `s` is a section of `S.g` -/
s_g : s ≫ S.g = 𝟙 _ := by aesop_cat
/-- the compatibility between the given section and retraction -/
id : r ≫ S.f + S.g ≫ s = 𝟙 _ := by aesop_cat
namespace Splitting
attribute [reassoc (attr := simp)] f_r s_g
variable {S}
@[reassoc]
lemma r_f (s : S.Splitting) : s.r ≫ S.f = 𝟙 _ - S.g ≫ s.s := by rw [← s.id, add_sub_cancel_right]
@[reassoc]
lemma g_s (s : S.Splitting) : S.g ≫ s.s = 𝟙 _ - s.r ≫ S.f := by rw [← s.id, add_sub_cancel_left]
/-- Given a splitting of a short complex `S`, this shows that `S.f` is a split monomorphism. -/
@[simps] def splitMono_f (s : S.Splitting) : SplitMono S.f := ⟨s.r, s.f_r⟩
lemma isSplitMono_f (s : S.Splitting) : IsSplitMono S.f := ⟨⟨s.splitMono_f⟩⟩
lemma mono_f (s : S.Splitting) : Mono S.f := by
have := s.isSplitMono_f
infer_instance
/-- Given a splitting of a short complex `S`, this shows that `S.g` is a split epimorphism. -/
@[simps] def splitEpi_g (s : S.Splitting) : SplitEpi S.g := ⟨s.s, s.s_g⟩
lemma isSplitEpi_g (s : S.Splitting) : IsSplitEpi S.g := ⟨⟨s.splitEpi_g⟩⟩
lemma epi_g (s : S.Splitting) : Epi S.g := by
have := s.isSplitEpi_g
infer_instance
@[reassoc (attr := simp)]
lemma s_r (s : S.Splitting) : s.s ≫ s.r = 0 := by
have := s.epi_g
simp only [← cancel_epi S.g, comp_zero, g_s_assoc, sub_comp, id_comp,
assoc, f_r, comp_id, sub_self]
lemma ext_r (s s' : S.Splitting) (h : s.r = s'.r) : s = s' := by
have := s.epi_g
have eq := s.id
rw [← s'.id, h, add_right_inj, cancel_epi S.g] at eq
cases s
cases s'
obtain rfl := eq
obtain rfl := h
rfl
lemma ext_s (s s' : S.Splitting) (h : s.s = s'.s) : s = s' := by
have := s.mono_f
have eq := s.id
rw [← s'.id, h, add_left_inj, cancel_mono S.f] at eq
cases s
cases s'
obtain rfl := eq
obtain rfl := h
rfl
/-- The left homology data on a short complex equipped with a splitting. -/
@[simps]
noncomputable def leftHomologyData [HasZeroObject C] (s : S.Splitting) :
LeftHomologyData S := by
have hi := KernelFork.IsLimit.ofι S.f S.zero
(fun x _ => x ≫ s.r)
(fun x hx => by simp only [assoc, s.r_f, comp_sub, comp_id,
sub_eq_self, reassoc_of% hx, zero_comp])
(fun x _ b hb => by simp only [← hb, assoc, f_r, comp_id])
let f' := hi.lift (KernelFork.ofι S.f S.zero)
have hf' : f' = 𝟙 _ := by
apply Fork.IsLimit.hom_ext hi
dsimp
erw [Fork.IsLimit.lift_ι hi]
simp only [Fork.ι_ofι, id_comp]
have wπ : f' ≫ (0 : S.X₁ ⟶ 0) = 0 := comp_zero
have hπ : IsColimit (CokernelCofork.ofπ 0 wπ) := CokernelCofork.IsColimit.ofEpiOfIsZero _
(by rw [hf']; infer_instance) (isZero_zero _)
exact
{ K := S.X₁
H := 0
i := S.f
wi := S.zero
hi := hi
π := 0
wπ := wπ
hπ := hπ }
/-- The right homology data on a short complex equipped with a splitting. -/
@[simps]
noncomputable def rightHomologyData [HasZeroObject C] (s : S.Splitting) :
RightHomologyData S := by
have hp := CokernelCofork.IsColimit.ofπ S.g S.zero
(fun x _ => s.s ≫ x)
(fun x hx => by simp only [s.g_s_assoc, sub_comp, id_comp, sub_eq_self, assoc, hx, comp_zero])
(fun x _ b hb => by simp only [← hb, s.s_g_assoc])
let g' := hp.desc (CokernelCofork.ofπ S.g S.zero)
have hg' : g' = 𝟙 _ := by
apply Cofork.IsColimit.hom_ext hp
dsimp
erw [Cofork.IsColimit.π_desc hp]
simp only [Cofork.π_ofπ, comp_id]
have wι : (0 : 0 ⟶ S.X₃) ≫ g' = 0 := zero_comp
have hι : IsLimit (KernelFork.ofι 0 wι) := KernelFork.IsLimit.ofMonoOfIsZero _
(by rw [hg']; dsimp; infer_instance) (isZero_zero _)
exact
{ Q := S.X₃
H := 0
p := S.g
wp := S.zero
hp := hp
ι := 0
wι := wι
hι := hι }
/-- The homology data on a short complex equipped with a splitting. -/
@[simps]
noncomputable def homologyData [HasZeroObject C] (s : S.Splitting) : S.HomologyData where
left := s.leftHomologyData
right := s.rightHomologyData
iso := Iso.refl 0
/-- A short complex equipped with a splitting is exact. -/
lemma exact [HasZeroObject C] (s : S.Splitting) : S.Exact :=
⟨s.homologyData, isZero_zero _⟩
/-- If a short complex `S` is equipped with a splitting, then `S.X₁` is the kernel of `S.g`. -/
noncomputable def fIsKernel [HasZeroObject C] (s : S.Splitting) :
IsLimit (KernelFork.ofι S.f S.zero) :=
s.homologyData.left.hi
/-- If a short complex `S` is equipped with a splitting, then `S.X₃` is the cokernel of `S.f`. -/
noncomputable def gIsCokernel [HasZeroObject C] (s : S.Splitting) :
IsColimit (CokernelCofork.ofπ S.g S.zero) :=
s.homologyData.right.hp
/-- If a short complex `S` has a splitting and `F` is an additive functor, then
`S.map F` also has a splitting. -/
@[simps]
def map (s : S.Splitting) (F : C ⥤ D) [F.Additive] : (S.map F).Splitting where
r := F.map s.r
s := F.map s.s
f_r := by
dsimp [ShortComplex.map]
rw [← F.map_comp, f_r, F.map_id]
s_g := by
dsimp [ShortComplex.map]
simp only [← F.map_comp, s_g, F.map_id]
id := by
dsimp [ShortComplex.map]
simp only [← F.map_id, ← s.id, Functor.map_comp, Functor.map_add]
/-- A splitting on a short complex induces splittings on isomorphic short complexes. -/
@[simps]
def ofIso {S₁ S₂ : ShortComplex C} (s : S₁.Splitting) (e : S₁ ≅ S₂) : S₂.Splitting where
r := e.inv.τ₂ ≫ s.r ≫ e.hom.τ₁
s := e.inv.τ₃ ≫ s.s ≫ e.hom.τ₂
f_r := by rw [← e.inv.comm₁₂_assoc, s.f_r_assoc, ← comp_τ₁, e.inv_hom_id, id_τ₁]
s_g := by rw [assoc, assoc, e.hom.comm₂₃, s.s_g_assoc, ← comp_τ₃, e.inv_hom_id, id_τ₃]
id := by
have eq := e.inv.τ₂ ≫= s.id =≫ e.hom.τ₂
rw [id_comp, ← comp_τ₂, e.inv_hom_id, id_τ₂] at eq
rw [← eq, assoc, assoc, add_comp, assoc, assoc, comp_add,
e.hom.comm₁₂, e.inv.comm₂₃_assoc]
/-- The obvious splitting of the short complex `X₁ ⟶ X₁ ⊞ X₂ ⟶ X₂`. -/
noncomputable def ofHasBinaryBiproduct (X₁ X₂ : C) [HasBinaryBiproduct X₁ X₂] :
Splitting (ShortComplex.mk (biprod.inl : X₁ ⟶ _) (biprod.snd : _ ⟶ X₂) (by simp)) where
r := biprod.fst
s := biprod.inr
variable (S)
/-- The obvious splitting of a short complex when `S.X₁` is zero and `S.g` is an isomorphism. -/
noncomputable def ofIsZeroOfIsIso (hf : IsZero S.X₁) (hg : IsIso S.g) : Splitting S where
r := 0
s := inv S.g
f_r := hf.eq_of_src _ _
/-- The obvious splitting of a short complex when `S.f` is an isomorphism and `S.X₃` is zero. -/
noncomputable def ofIsIsoOfIsZero (hf : IsIso S.f) (hg : IsZero S.X₃) : Splitting S where
r := inv S.f
s := 0
s_g := hg.eq_of_src _ _
variable {S}
/-- The splitting of the short complex `S.op` deduced from a splitting of `S`. -/
@[simps]
def op (h : Splitting S) : Splitting S.op where
r := h.s.op
s := h.r.op
f_r := Quiver.Hom.unop_inj (by simp)
s_g := Quiver.Hom.unop_inj (by simp)
id := Quiver.Hom.unop_inj (by
simp only [op_X₂, Opposite.unop_op, op_X₁, op_f, op_X₃, op_g, unop_add, unop_comp,
Quiver.Hom.unop_op, unop_id, ← h.id]
abel)
/-- The splitting of the short complex `S.unop` deduced from a splitting of `S`. -/
@[simps]
def unop {S : ShortComplex Cᵒᵖ} (h : Splitting S) : Splitting S.unop where
r := h.s.unop
s := h.r.unop
f_r := Quiver.Hom.op_inj (by simp)
s_g := Quiver.Hom.op_inj (by simp)
id := Quiver.Hom.op_inj (by
simp only [unop_X₂, Opposite.op_unop, unop_X₁, unop_f, unop_X₃, unop_g, op_add,
op_comp, Quiver.Hom.op_unop, op_id, ← h.id]
abel)
/-- The isomorphism `S.X₂ ≅ S.X₁ ⊞ S.X₃` induced by a splitting of the short complex `S`. -/
@[simps]
noncomputable def isoBinaryBiproduct (h : Splitting S) [HasBinaryBiproduct S.X₁ S.X₃] :
S.X₂ ≅ S.X₁ ⊞ S.X₃ where
hom := biprod.lift h.r S.g
inv := biprod.desc S.f h.s
hom_inv_id := by simp [h.id]
end Splitting
section Balanced
variable {S}
variable [Balanced C]
namespace Exact
lemma isIso_f' (hS : S.Exact) (h : S.LeftHomologyData) [Mono S.f] :
IsIso h.f' := by
have := hS.epi_f' h
have := mono_of_mono_fac h.f'_i
exact isIso_of_mono_of_epi h.f'
lemma isIso_toCycles (hS : S.Exact) [Mono S.f] [S.HasLeftHomology]:
IsIso S.toCycles :=
hS.isIso_f' _
lemma isIso_g' (hS : S.Exact) (h : S.RightHomologyData) [Epi S.g] :
IsIso h.g' := by
have := hS.mono_g' h
have := epi_of_epi_fac h.p_g'
exact isIso_of_mono_of_epi h.g'
lemma isIso_fromOpcycles (hS : S.Exact) [Epi S.g] [S.HasRightHomology] :
IsIso S.fromOpcycles :=
hS.isIso_g' _
/-- In a balanced category, if a short complex `S` is exact and `S.f` is a mono, then
`S.X₁` is the kernel of `S.g`. -/
noncomputable def fIsKernel (hS : S.Exact) [Mono S.f] : IsLimit (KernelFork.ofι S.f S.zero) := by
have := hS.hasHomology
have := hS.isIso_toCycles
exact IsLimit.ofIsoLimit S.cyclesIsKernel
(Fork.ext (asIso S.toCycles).symm (by simp))
lemma map_of_mono_of_preservesKernel (hS : S.Exact) (F : C ⥤ D)
[F.PreservesZeroMorphisms] [(S.map F).HasHomology] (_ : Mono S.f)
(_ : PreservesLimit (parallelPair S.g 0) F) :
(S.map F).Exact :=
exact_of_f_is_kernel _ (KernelFork.mapIsLimit _ hS.fIsKernel F)
/-- In a balanced category, if a short complex `S` is exact and `S.g` is an epi, then
`S.X₃` is the cokernel of `S.g`. -/
noncomputable def gIsCokernel (hS : S.Exact) [Epi S.g] :
IsColimit (CokernelCofork.ofπ S.g S.zero) := by
have := hS.hasHomology
have := hS.isIso_fromOpcycles
exact IsColimit.ofIsoColimit S.opcyclesIsCokernel
(Cofork.ext (asIso S.fromOpcycles) (by simp))
lemma map_of_epi_of_preservesCokernel (hS : S.Exact) (F : C ⥤ D)
[F.PreservesZeroMorphisms] [(S.map F).HasHomology] (_ : Epi S.g)
(_ : PreservesColimit (parallelPair S.f 0) F) :
(S.map F).Exact :=
exact_of_g_is_cokernel _ (CokernelCofork.mapIsColimit _ hS.gIsCokernel F)
/-- If a short complex `S` in a balanced category is exact and such that `S.f` is a mono,
then a morphism `k : A ⟶ S.X₂` such that `k ≫ S.g = 0` lifts to a morphism `A ⟶ S.X₁`. -/
noncomputable def lift (hS : S.Exact) {A : C} (k : A ⟶ S.X₂) (hk : k ≫ S.g = 0) [Mono S.f] :
A ⟶ S.X₁ := hS.fIsKernel.lift (KernelFork.ofι k hk)
@[reassoc (attr := simp)]
lemma lift_f (hS : S.Exact) {A : C} (k : A ⟶ S.X₂) (hk : k ≫ S.g = 0) [Mono S.f] :
hS.lift k hk ≫ S.f = k :=
Fork.IsLimit.lift_ι _
lemma lift' (hS : S.Exact) {A : C} (k : A ⟶ S.X₂) (hk : k ≫ S.g = 0) [Mono S.f] :
∃ (l : A ⟶ S.X₁), l ≫ S.f = k :=
⟨hS.lift k hk, by simp⟩
/-- If a short complex `S` in a balanced category is exact and such that `S.g` is an epi,
then a morphism `k : S.X₂ ⟶ A` such that `S.f ≫ k = 0` descends to a morphism `S.X₃ ⟶ A`. -/
noncomputable def desc (hS : S.Exact) {A : C} (k : S.X₂ ⟶ A) (hk : S.f ≫ k = 0) [Epi S.g] :
S.X₃ ⟶ A := hS.gIsCokernel.desc (CokernelCofork.ofπ k hk)
@[reassoc (attr := simp)]
lemma g_desc (hS : S.Exact) {A : C} (k : S.X₂ ⟶ A) (hk : S.f ≫ k = 0) [Epi S.g] :
S.g ≫ hS.desc k hk = k :=
Cofork.IsColimit.π_desc (hS.gIsCokernel)
lemma desc' (hS : S.Exact) {A : C} (k : S.X₂ ⟶ A) (hk : S.f ≫ k = 0) [Epi S.g] :
∃ (l : S.X₃ ⟶ A), S.g ≫ l = k :=
⟨hS.desc k hk, by simp⟩
end Exact
lemma mono_τ₂_of_exact_of_mono {S₁ S₂ : ShortComplex C} (φ : S₁ ⟶ S₂)
(h₁ : S₁.Exact) [Mono S₁.f] [Mono S₂.f] [Mono φ.τ₁] [Mono φ.τ₃] : Mono φ.τ₂ := by
rw [mono_iff_cancel_zero]
intro A x₂ hx₂
obtain ⟨x₁, hx₁⟩ : ∃ x₁, x₁ ≫ S₁.f = x₂ := ⟨_, h₁.lift_f x₂
(by simp only [← cancel_mono φ.τ₃, assoc, zero_comp, ← φ.comm₂₃, reassoc_of% hx₂])⟩
suffices x₁ = 0 by rw [← hx₁, this, zero_comp]
simp only [← cancel_mono φ.τ₁, ← cancel_mono S₂.f, assoc, φ.comm₁₂, zero_comp,
reassoc_of% hx₁, hx₂]
attribute [local instance] balanced_opposite
|
lemma epi_τ₂_of_exact_of_epi {S₁ S₂ : ShortComplex C} (φ : S₁ ⟶ S₂)
(h₂ : S₂.Exact) [Epi S₁.g] [Epi S₂.g] [Epi φ.τ₁] [Epi φ.τ₃] : Epi φ.τ₂ := by
have : Mono S₁.op.f := by dsimp; infer_instance
have : Mono S₂.op.f := by dsimp; infer_instance
have : Mono (opMap φ).τ₁ := by dsimp; infer_instance
have : Mono (opMap φ).τ₃ := by dsimp; infer_instance
have := mono_τ₂_of_exact_of_mono (opMap φ) h₂.op
exact unop_epi_of_mono (opMap φ).τ₂
| Mathlib/Algebra/Homology/ShortComplex/Exact.lean | 796 | 804 |
/-
Copyright (c) 2021 Patrick Stevens. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Patrick Stevens, Thomas Browning
-/
import Mathlib.Data.Nat.Choose.Basic
import Mathlib.Data.Nat.GCD.Basic
import Mathlib.Tactic.Ring
import Mathlib.Tactic.Linarith
/-!
# Central binomial coefficients
This file proves properties of the central binomial coefficients (that is, `Nat.choose (2 * n) n`).
## Main definition and results
* `Nat.centralBinom`: the central binomial coefficient, `(2 * n).choose n`.
* `Nat.succ_mul_centralBinom_succ`: the inductive relationship between successive central binomial
coefficients.
* `Nat.four_pow_lt_mul_centralBinom`: an exponential lower bound on the central binomial
coefficient.
* `succ_dvd_centralBinom`: The result that `n+1 ∣ n.centralBinom`, ensuring that the explicit
definition of the Catalan numbers is integer-valued.
-/
namespace Nat
/-- The central binomial coefficient, `Nat.choose (2 * n) n`.
-/
def centralBinom (n : ℕ) :=
(2 * n).choose n
theorem centralBinom_eq_two_mul_choose (n : ℕ) : centralBinom n = (2 * n).choose n :=
rfl
theorem centralBinom_pos (n : ℕ) : 0 < centralBinom n :=
choose_pos (Nat.le_mul_of_pos_left _ zero_lt_two)
theorem centralBinom_ne_zero (n : ℕ) : centralBinom n ≠ 0 :=
(centralBinom_pos n).ne'
@[simp]
theorem centralBinom_zero : centralBinom 0 = 1 :=
choose_zero_right _
/-- The central binomial coefficient is the largest binomial coefficient.
-/
theorem choose_le_centralBinom (r n : ℕ) : choose (2 * n) r ≤ centralBinom n :=
calc
(2 * n).choose r ≤ (2 * n).choose (2 * n / 2) := choose_le_middle r (2 * n)
_ = (2 * n).choose n := by rw [Nat.mul_div_cancel_left n zero_lt_two]
theorem two_le_centralBinom (n : ℕ) (n_pos : 0 < n) : 2 ≤ centralBinom n :=
calc
2 ≤ 2 * n := Nat.le_mul_of_pos_right _ n_pos
_ = (2 * n).choose 1 := (choose_one_right (2 * n)).symm
_ ≤ centralBinom n := choose_le_centralBinom 1 n
/-- An inductive property of the central binomial coefficient.
-/
theorem succ_mul_centralBinom_succ (n : ℕ) :
(n + 1) * centralBinom (n + 1) = 2 * (2 * n + 1) * centralBinom n :=
calc
(n + 1) * (2 * (n + 1)).choose (n + 1) = (2 * n + 2).choose (n + 1) * (n + 1) := mul_comm _ _
_ = (2 * n + 1).choose n * (2 * n + 2) := by rw [choose_succ_right_eq, choose_mul_succ_eq]
_ = 2 * ((2 * n + 1).choose n * (n + 1)) := by ring
_ = 2 * ((2 * n + 1).choose n * (2 * n + 1 - n)) := by rw [two_mul n, add_assoc,
Nat.add_sub_cancel_left]
_ = 2 * ((2 * n).choose n * (2 * n + 1)) := by rw [choose_mul_succ_eq]
_ = 2 * (2 * n + 1) * (2 * n).choose n := by rw [mul_assoc, mul_comm (2 * n + 1)]
/-- An exponential lower bound on the central binomial coefficient.
This bound is of interest because it appears in
[Tochiori's refinement of Erdős's proof of Bertrand's postulate](tochiori_bertrand).
-/
theorem four_pow_lt_mul_centralBinom (n : ℕ) (n_big : 4 ≤ n) : 4 ^ n < n * centralBinom n := by
induction' n using Nat.strong_induction_on with n IH
rcases lt_trichotomy n 4 with (hn | rfl | hn)
· clear IH; exact False.elim ((not_lt.2 n_big) hn)
· norm_num [centralBinom, choose]
obtain ⟨n, rfl⟩ : ∃ m, n = m + 1 := Nat.exists_eq_succ_of_ne_zero (Nat.ne_zero_of_lt hn)
calc
4 ^ (n + 1) < 4 * (n * centralBinom n) := lt_of_eq_of_lt pow_succ' <|
(mul_lt_mul_left <| zero_lt_four' ℕ).mpr (IH n n.lt_succ_self (Nat.le_of_lt_succ hn))
_ ≤ 2 * (2 * n + 1) * centralBinom n := by rw [← mul_assoc]; linarith
_ = (n + 1) * centralBinom (n + 1) := (succ_mul_centralBinom_succ n).symm
/-- An exponential lower bound on the central binomial coefficient.
This bound is weaker than `Nat.four_pow_lt_mul_centralBinom`, but it is of historical interest
because it appears in Erdős's proof of Bertrand's postulate.
-/
theorem four_pow_le_two_mul_self_mul_centralBinom :
∀ (n : ℕ) (_ : 0 < n), 4 ^ n ≤ 2 * n * centralBinom n
| 0, pr => (Nat.not_lt_zero _ pr).elim
| 1, _ => by norm_num [centralBinom, choose]
| 2, _ => by norm_num [centralBinom, choose]
| 3, _ => by norm_num [centralBinom, choose]
| n + 4, _ =>
calc
4 ^ (n+4) ≤ (n+4) * centralBinom (n+4) := (four_pow_lt_mul_centralBinom _ le_add_self).le
_ ≤ 2 * (n+4) * centralBinom (n+4) := by
rw [mul_assoc]; refine Nat.le_mul_of_pos_left _ zero_lt_two
theorem two_dvd_centralBinom_succ (n : ℕ) : 2 ∣ centralBinom (n + 1) := by
use (n + 1 + n).choose n
rw [centralBinom_eq_two_mul_choose, two_mul, ← add_assoc,
choose_succ_succ' (n + 1 + n) n, choose_symm_add, ← two_mul]
theorem two_dvd_centralBinom_of_one_le {n : ℕ} (h : 0 < n) : 2 ∣ centralBinom n := by
rw [← Nat.succ_pred_eq_of_pos h]
exact two_dvd_centralBinom_succ n.pred
/-- A crucial lemma to ensure that Catalan numbers can be defined via their explicit formula
`catalan n = n.centralBinom / (n + 1)`. -/
theorem succ_dvd_centralBinom (n : ℕ) : n + 1 ∣ n.centralBinom := by
have h_s : (n + 1).Coprime (2 * n + 1) := by
rw [two_mul, add_assoc, coprime_add_self_right, coprime_self_add_left]
exact coprime_one_left n
apply h_s.dvd_of_dvd_mul_left
apply Nat.dvd_of_mul_dvd_mul_left zero_lt_two
rw [← mul_assoc, ← succ_mul_centralBinom_succ, mul_comm]
| exact mul_dvd_mul_left _ (two_dvd_centralBinom_succ n)
end Nat
| Mathlib/Data/Nat/Choose/Central.lean | 124 | 126 |
/-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sébastien Gouëzel, Johannes Hölzl, Yury Kudryashov, Patrick Massot
-/
import Mathlib.Algebra.GeomSum
import Mathlib.Order.Filter.AtTopBot.Archimedean
import Mathlib.Order.Iterate
import Mathlib.Topology.Algebra.Algebra
import Mathlib.Topology.Algebra.InfiniteSum.Real
import Mathlib.Topology.Instances.EReal.Lemmas
/-!
# A collection of specific limit computations
This file, by design, is independent of `NormedSpace` in the import hierarchy. It contains
important specific limit computations in metric spaces, in ordered rings/fields, and in specific
instances of these such as `ℝ`, `ℝ≥0` and `ℝ≥0∞`.
-/
assert_not_exists Basis NormedSpace
noncomputable section
open Set Function Filter Finset Metric Topology Nat uniformity NNReal ENNReal
variable {α : Type*} {β : Type*} {ι : Type*}
theorem tendsto_inverse_atTop_nhds_zero_nat : Tendsto (fun n : ℕ ↦ (n : ℝ)⁻¹) atTop (𝓝 0) :=
tendsto_inv_atTop_zero.comp tendsto_natCast_atTop_atTop
theorem tendsto_const_div_atTop_nhds_zero_nat (C : ℝ) :
Tendsto (fun n : ℕ ↦ C / n) atTop (𝓝 0) := by
simpa only [mul_zero] using tendsto_const_nhds.mul tendsto_inverse_atTop_nhds_zero_nat
theorem tendsto_one_div_atTop_nhds_zero_nat : Tendsto (fun n : ℕ ↦ 1/(n : ℝ)) atTop (𝓝 0) :=
tendsto_const_div_atTop_nhds_zero_nat 1
theorem NNReal.tendsto_inverse_atTop_nhds_zero_nat :
Tendsto (fun n : ℕ ↦ (n : ℝ≥0)⁻¹) atTop (𝓝 0) := by
rw [← NNReal.tendsto_coe]
exact _root_.tendsto_inverse_atTop_nhds_zero_nat
theorem NNReal.tendsto_const_div_atTop_nhds_zero_nat (C : ℝ≥0) :
Tendsto (fun n : ℕ ↦ C / n) atTop (𝓝 0) := by
simpa using tendsto_const_nhds.mul NNReal.tendsto_inverse_atTop_nhds_zero_nat
theorem EReal.tendsto_const_div_atTop_nhds_zero_nat {C : EReal} (h : C ≠ ⊥) (h' : C ≠ ⊤) :
Tendsto (fun n : ℕ ↦ C / n) atTop (𝓝 0) := by
have : (fun n : ℕ ↦ C / n) = fun n : ℕ ↦ ((C.toReal / n : ℝ) : EReal) := by
ext n
nth_rw 1 [← coe_toReal h' h, ← coe_coe_eq_natCast n, ← coe_div C.toReal n]
rw [this, ← coe_zero, tendsto_coe]
exact _root_.tendsto_const_div_atTop_nhds_zero_nat C.toReal
theorem tendsto_one_div_add_atTop_nhds_zero_nat :
Tendsto (fun n : ℕ ↦ 1 / ((n : ℝ) + 1)) atTop (𝓝 0) :=
suffices Tendsto (fun n : ℕ ↦ 1 / (↑(n + 1) : ℝ)) atTop (𝓝 0) by simpa
(tendsto_add_atTop_iff_nat 1).2 (_root_.tendsto_const_div_atTop_nhds_zero_nat 1)
theorem NNReal.tendsto_algebraMap_inverse_atTop_nhds_zero_nat (𝕜 : Type*) [Semiring 𝕜]
[Algebra ℝ≥0 𝕜] [TopologicalSpace 𝕜] [ContinuousSMul ℝ≥0 𝕜] :
Tendsto (algebraMap ℝ≥0 𝕜 ∘ fun n : ℕ ↦ (n : ℝ≥0)⁻¹) atTop (𝓝 0) := by
convert (continuous_algebraMap ℝ≥0 𝕜).continuousAt.tendsto.comp
tendsto_inverse_atTop_nhds_zero_nat
rw [map_zero]
theorem tendsto_algebraMap_inverse_atTop_nhds_zero_nat (𝕜 : Type*) [Semiring 𝕜] [Algebra ℝ 𝕜]
[TopologicalSpace 𝕜] [ContinuousSMul ℝ 𝕜] :
Tendsto (algebraMap ℝ 𝕜 ∘ fun n : ℕ ↦ (n : ℝ)⁻¹) atTop (𝓝 0) :=
NNReal.tendsto_algebraMap_inverse_atTop_nhds_zero_nat 𝕜
/-- The limit of `n / (n + x)` is 1, for any constant `x` (valid in `ℝ` or any topological division
algebra over `ℝ`, e.g., `ℂ`).
TODO: introduce a typeclass saying that `1 / n` tends to 0 at top, making it possible to get this
statement simultaneously on `ℚ`, `ℝ` and `ℂ`. -/
theorem tendsto_natCast_div_add_atTop {𝕜 : Type*} [DivisionRing 𝕜] [TopologicalSpace 𝕜]
[CharZero 𝕜] [Algebra ℝ 𝕜] [ContinuousSMul ℝ 𝕜] [IsTopologicalDivisionRing 𝕜] (x : 𝕜) :
Tendsto (fun n : ℕ ↦ (n : 𝕜) / (n + x)) atTop (𝓝 1) := by
convert Tendsto.congr' ((eventually_ne_atTop 0).mp (Eventually.of_forall fun n hn ↦ _)) _
· exact fun n : ℕ ↦ 1 / (1 + x / n)
· field_simp [Nat.cast_ne_zero.mpr hn]
· have : 𝓝 (1 : 𝕜) = 𝓝 (1 / (1 + x * (0 : 𝕜))) := by
rw [mul_zero, add_zero, div_one]
rw [this]
refine tendsto_const_nhds.div (tendsto_const_nhds.add ?_) (by simp)
simp_rw [div_eq_mul_inv]
refine tendsto_const_nhds.mul ?_
have := ((continuous_algebraMap ℝ 𝕜).tendsto _).comp tendsto_inverse_atTop_nhds_zero_nat
rw [map_zero, Filter.tendsto_atTop'] at this
refine Iff.mpr tendsto_atTop' ?_
intros
simp_all only [comp_apply, map_inv₀, map_natCast]
/-- For any positive `m : ℕ`, `((n % m : ℕ) : ℝ) / (n : ℝ)` tends to `0` as `n` tends to `∞`. -/
theorem tendsto_mod_div_atTop_nhds_zero_nat {m : ℕ} (hm : 0 < m) :
Tendsto (fun n : ℕ => ((n % m : ℕ) : ℝ) / (n : ℝ)) atTop (𝓝 0) := by
have h0 : ∀ᶠ n : ℕ in atTop, 0 ≤ (fun n : ℕ => ((n % m : ℕ) : ℝ)) n := by aesop
exact tendsto_bdd_div_atTop_nhds_zero h0
(.of_forall (fun n ↦ cast_le.mpr (mod_lt n hm).le)) tendsto_natCast_atTop_atTop
theorem Filter.EventuallyEq.div_mul_cancel {α G : Type*} [GroupWithZero G] {f g : α → G}
{l : Filter α} (hg : Tendsto g l (𝓟 {0}ᶜ)) : (fun x ↦ f x / g x * g x) =ᶠ[l] fun x ↦ f x := by
filter_upwards [hg.le_comap <| preimage_mem_comap (m := g) (mem_principal_self {0}ᶜ)] with x hx
aesop
/-- If `g` tends to `∞`, then eventually for all `x` we have `(f x / g x) * g x = f x`. -/
theorem Filter.EventuallyEq.div_mul_cancel_atTop {α K : Type*}
[Semifield K] [LinearOrder K] [IsStrictOrderedRing K]
{f g : α → K} {l : Filter α} (hg : Tendsto g l atTop) :
(fun x ↦ f x / g x * g x) =ᶠ[l] fun x ↦ f x :=
div_mul_cancel <| hg.mono_right <| le_principal_iff.mpr <|
mem_of_superset (Ioi_mem_atTop 0) <| by simp
/-- If when `x` tends to `∞`, `g` tends to `∞` and `f x / g x` tends to a positive
constant, then `f` tends to `∞`. -/
theorem Tendsto.num {α K : Type*} [Field K] [LinearOrder K] [IsStrictOrderedRing K]
[TopologicalSpace K] [OrderTopology K]
{f g : α → K} {l : Filter α} (hg : Tendsto g l atTop) {a : K} (ha : 0 < a)
(hlim : Tendsto (fun x => f x / g x) l (𝓝 a)) :
Tendsto f l atTop :=
(hlim.pos_mul_atTop ha hg).congr' (EventuallyEq.div_mul_cancel_atTop hg)
/-- If when `x` tends to `∞`, `g` tends to `∞` and `f x / g x` tends to a positive
constant, then `f` tends to `∞`. -/
theorem Tendsto.den {α K : Type*} [Field K] [LinearOrder K] [IsStrictOrderedRing K]
[TopologicalSpace K] [OrderTopology K]
[ContinuousInv K] {f g : α → K} {l : Filter α} (hf : Tendsto f l atTop) {a : K} (ha : 0 < a)
(hlim : Tendsto (fun x => f x / g x) l (𝓝 a)) :
Tendsto g l atTop :=
have hlim' : Tendsto (fun x => g x / f x) l (𝓝 a⁻¹) := by
simp_rw [← inv_div (f _)]
exact Filter.Tendsto.inv (f := fun x => f x / g x) hlim
(hlim'.pos_mul_atTop (inv_pos_of_pos ha) hf).congr' (.div_mul_cancel_atTop hf)
/-- If when `x` tends to `∞`, `f x / g x` tends to a positive constant, then `f` tends to `∞` if
and only if `g` tends to `∞`. -/
theorem Tendsto.num_atTop_iff_den_atTop {α K : Type*}
[Field K] [LinearOrder K] [IsStrictOrderedRing K] [TopologicalSpace K]
[OrderTopology K] [ContinuousInv K] {f g : α → K} {l : Filter α} {a : K} (ha : 0 < a)
(hlim : Tendsto (fun x => f x / g x) l (𝓝 a)) :
Tendsto f l atTop ↔ Tendsto g l atTop :=
⟨fun hf ↦ Tendsto.den hf ha hlim, fun hg ↦ Tendsto.num hg ha hlim⟩
/-! ### Powers -/
theorem tendsto_add_one_pow_atTop_atTop_of_pos
[Semiring α] [LinearOrder α] [IsStrictOrderedRing α] [Archimedean α] {r : α}
(h : 0 < r) : Tendsto (fun n : ℕ ↦ (r + 1) ^ n) atTop atTop :=
tendsto_atTop_atTop_of_monotone' (pow_right_mono₀ <| le_add_of_nonneg_left h.le) <|
not_bddAbove_iff.2 fun _ ↦ Set.exists_range_iff.2 <| add_one_pow_unbounded_of_pos _ h
theorem tendsto_pow_atTop_atTop_of_one_lt
[Ring α] [LinearOrder α] [IsStrictOrderedRing α] [Archimedean α] {r : α}
(h : 1 < r) : Tendsto (fun n : ℕ ↦ r ^ n) atTop atTop :=
sub_add_cancel r 1 ▸ tendsto_add_one_pow_atTop_atTop_of_pos (sub_pos.2 h)
theorem Nat.tendsto_pow_atTop_atTop_of_one_lt {m : ℕ} (h : 1 < m) :
Tendsto (fun n : ℕ ↦ m ^ n) atTop atTop :=
tsub_add_cancel_of_le (le_of_lt h) ▸ tendsto_add_one_pow_atTop_atTop_of_pos (tsub_pos_of_lt h)
theorem tendsto_pow_atTop_nhds_zero_of_lt_one {𝕜 : Type*}
[Field 𝕜] [LinearOrder 𝕜] [IsStrictOrderedRing 𝕜] [Archimedean 𝕜]
[TopologicalSpace 𝕜] [OrderTopology 𝕜] {r : 𝕜} (h₁ : 0 ≤ r) (h₂ : r < 1) :
Tendsto (fun n : ℕ ↦ r ^ n) atTop (𝓝 0) :=
h₁.eq_or_lt.elim
(fun hr ↦ (tendsto_add_atTop_iff_nat 1).mp <| by
simp [_root_.pow_succ, ← hr, tendsto_const_nhds])
(fun hr ↦
have := (one_lt_inv₀ hr).2 h₂ |> tendsto_pow_atTop_atTop_of_one_lt
(tendsto_inv_atTop_zero.comp this).congr fun n ↦ by simp)
@[simp] theorem tendsto_pow_atTop_nhds_zero_iff {𝕜 : Type*}
[Field 𝕜] [LinearOrder 𝕜] [IsStrictOrderedRing 𝕜] [Archimedean 𝕜]
[TopologicalSpace 𝕜] [OrderTopology 𝕜] {r : 𝕜} :
Tendsto (fun n : ℕ ↦ r ^ n) atTop (𝓝 0) ↔ |r| < 1 := by
rw [tendsto_zero_iff_abs_tendsto_zero]
refine ⟨fun h ↦ by_contra (fun hr_le ↦ ?_), fun h ↦ ?_⟩
· by_cases hr : 1 = |r|
· replace h : Tendsto (fun n : ℕ ↦ |r|^n) atTop (𝓝 0) := by simpa only [← abs_pow, h]
simp only [hr.symm, one_pow] at h
exact zero_ne_one <| tendsto_nhds_unique h tendsto_const_nhds
· apply @not_tendsto_nhds_of_tendsto_atTop 𝕜 ℕ _ _ _ _ atTop _ (fun n ↦ |r| ^ n) _ 0 _
· refine (pow_right_strictMono₀ <| lt_of_le_of_ne (le_of_not_lt hr_le)
hr).monotone.tendsto_atTop_atTop (fun b ↦ ?_)
obtain ⟨n, hn⟩ := (pow_unbounded_of_one_lt b (lt_of_le_of_ne (le_of_not_lt hr_le) hr))
exact ⟨n, le_of_lt hn⟩
· simpa only [← abs_pow]
· simpa only [← abs_pow] using (tendsto_pow_atTop_nhds_zero_of_lt_one (abs_nonneg r)) h
theorem tendsto_pow_atTop_nhdsWithin_zero_of_lt_one {𝕜 : Type*}
[Field 𝕜] [LinearOrder 𝕜] [IsStrictOrderedRing 𝕜]
[Archimedean 𝕜] [TopologicalSpace 𝕜] [OrderTopology 𝕜] {r : 𝕜} (h₁ : 0 < r) (h₂ : r < 1) :
Tendsto (fun n : ℕ ↦ r ^ n) atTop (𝓝[>] 0) :=
tendsto_inf.2
⟨tendsto_pow_atTop_nhds_zero_of_lt_one h₁.le h₂,
tendsto_principal.2 <| Eventually.of_forall fun _ ↦ pow_pos h₁ _⟩
theorem uniformity_basis_dist_pow_of_lt_one {α : Type*} [PseudoMetricSpace α] {r : ℝ} (h₀ : 0 < r)
(h₁ : r < 1) :
(uniformity α).HasBasis (fun _ : ℕ ↦ True) fun k ↦ { p : α × α | dist p.1 p.2 < r ^ k } :=
Metric.mk_uniformity_basis (fun _ _ ↦ pow_pos h₀ _) fun _ ε0 ↦
(exists_pow_lt_of_lt_one ε0 h₁).imp fun _ hk ↦ ⟨trivial, hk.le⟩
theorem geom_lt {u : ℕ → ℝ} {c : ℝ} (hc : 0 ≤ c) {n : ℕ} (hn : 0 < n)
(h : ∀ k < n, c * u k < u (k + 1)) : c ^ n * u 0 < u n := by
apply (monotone_mul_left_of_nonneg hc).seq_pos_lt_seq_of_le_of_lt hn _ _ h
· simp
· simp [_root_.pow_succ', mul_assoc, le_refl]
theorem geom_le {u : ℕ → ℝ} {c : ℝ} (hc : 0 ≤ c) (n : ℕ) (h : ∀ k < n, c * u k ≤ u (k + 1)) :
c ^ n * u 0 ≤ u n := by
apply (monotone_mul_left_of_nonneg hc).seq_le_seq n _ _ h <;>
simp [_root_.pow_succ', mul_assoc, le_refl]
theorem lt_geom {u : ℕ → ℝ} {c : ℝ} (hc : 0 ≤ c) {n : ℕ} (hn : 0 < n)
(h : ∀ k < n, u (k + 1) < c * u k) : u n < c ^ n * u 0 := by
apply (monotone_mul_left_of_nonneg hc).seq_pos_lt_seq_of_lt_of_le hn _ h _
· simp
· simp [_root_.pow_succ', mul_assoc, le_refl]
theorem le_geom {u : ℕ → ℝ} {c : ℝ} (hc : 0 ≤ c) (n : ℕ) (h : ∀ k < n, u (k + 1) ≤ c * u k) :
u n ≤ c ^ n * u 0 := by
apply (monotone_mul_left_of_nonneg hc).seq_le_seq n _ h _ <;>
simp [_root_.pow_succ', mul_assoc, le_refl]
/-- If a sequence `v` of real numbers satisfies `k * v n ≤ v (n+1)` with `1 < k`,
then it goes to +∞. -/
theorem tendsto_atTop_of_geom_le {v : ℕ → ℝ} {c : ℝ} (h₀ : 0 < v 0) (hc : 1 < c)
(hu : ∀ n, c * v n ≤ v (n + 1)) : Tendsto v atTop atTop :=
(tendsto_atTop_mono fun n ↦ geom_le (zero_le_one.trans hc.le) n fun k _ ↦ hu k) <|
(tendsto_pow_atTop_atTop_of_one_lt hc).atTop_mul_const h₀
theorem NNReal.tendsto_pow_atTop_nhds_zero_of_lt_one {r : ℝ≥0} (hr : r < 1) :
Tendsto (fun n : ℕ ↦ r ^ n) atTop (𝓝 0) :=
NNReal.tendsto_coe.1 <| by
simp only [NNReal.coe_pow, NNReal.coe_zero,
_root_.tendsto_pow_atTop_nhds_zero_of_lt_one r.coe_nonneg hr]
@[simp]
protected theorem NNReal.tendsto_pow_atTop_nhds_zero_iff {r : ℝ≥0} :
Tendsto (fun n : ℕ => r ^ n) atTop (𝓝 0) ↔ r < 1 :=
⟨fun h => by simpa [coe_pow, coe_zero, abs_eq, coe_lt_one, val_eq_coe] using
tendsto_pow_atTop_nhds_zero_iff.mp <| tendsto_coe.mpr h, tendsto_pow_atTop_nhds_zero_of_lt_one⟩
theorem ENNReal.tendsto_pow_atTop_nhds_zero_of_lt_one {r : ℝ≥0∞} (hr : r < 1) :
Tendsto (fun n : ℕ ↦ r ^ n) atTop (𝓝 0) := by
rcases ENNReal.lt_iff_exists_coe.1 hr with ⟨r, rfl, hr'⟩
rw [← ENNReal.coe_zero]
norm_cast at *
apply NNReal.tendsto_pow_atTop_nhds_zero_of_lt_one hr
@[simp]
protected theorem ENNReal.tendsto_pow_atTop_nhds_zero_iff {r : ℝ≥0∞} :
Tendsto (fun n : ℕ => r ^ n) atTop (𝓝 0) ↔ r < 1 := by
refine ⟨fun h ↦ ?_, tendsto_pow_atTop_nhds_zero_of_lt_one⟩
lift r to NNReal
· refine fun hr ↦ top_ne_zero (tendsto_nhds_unique (EventuallyEq.tendsto ?_) (hr ▸ h))
exact eventually_atTop.mpr ⟨1, fun _ hn ↦ pow_eq_top_iff.mpr ⟨rfl, Nat.pos_iff_ne_zero.mp hn⟩⟩
rw [← coe_zero] at h
norm_cast at h ⊢
exact NNReal.tendsto_pow_atTop_nhds_zero_iff.mp h
@[simp]
protected theorem ENNReal.tendsto_pow_atTop_nhds_top_iff {r : ℝ≥0∞} :
Tendsto (fun n ↦ r^n) atTop (𝓝 ∞) ↔ 1 < r := by
refine ⟨?_, ?_⟩
· contrapose!
intro r_le_one h_tends
specialize h_tends (Ioi_mem_nhds one_lt_top)
simp only [Filter.mem_map, mem_atTop_sets, ge_iff_le, Set.mem_preimage, Set.mem_Ioi] at h_tends
obtain ⟨n, hn⟩ := h_tends
exact lt_irrefl _ <| lt_of_lt_of_le (hn n le_rfl) <| pow_le_one₀ (zero_le _) r_le_one
· intro r_gt_one
have obs := @Tendsto.inv ℝ≥0∞ ℕ _ _ _ (fun n ↦ (r⁻¹)^n) atTop 0
simp only [ENNReal.tendsto_pow_atTop_nhds_zero_iff, inv_zero] at obs
simpa [← ENNReal.inv_pow] using obs <| ENNReal.inv_lt_one.mpr r_gt_one
lemma ENNReal.eq_zero_of_le_mul_pow {x r : ℝ≥0∞} {ε : ℝ≥0} (hr : r < 1)
(h : ∀ n : ℕ, x ≤ ε * r ^ n) : x = 0 := by
rw [← nonpos_iff_eq_zero]
refine ge_of_tendsto' (f := fun (n : ℕ) ↦ ε * r ^ n) (x := atTop) ?_ h
rw [← mul_zero (M₀ := ℝ≥0∞) (a := ε)]
exact Tendsto.const_mul (tendsto_pow_atTop_nhds_zero_of_lt_one hr) (Or.inr coe_ne_top)
/-! ### Geometric series -/
section Geometric
theorem hasSum_geometric_of_lt_one {r : ℝ} (h₁ : 0 ≤ r) (h₂ : r < 1) :
HasSum (fun n : ℕ ↦ r ^ n) (1 - r)⁻¹ :=
have : r ≠ 1 := ne_of_lt h₂
have : Tendsto (fun n ↦ (r ^ n - 1) * (r - 1)⁻¹) atTop (𝓝 ((0 - 1) * (r - 1)⁻¹)) :=
((tendsto_pow_atTop_nhds_zero_of_lt_one h₁ h₂).sub tendsto_const_nhds).mul tendsto_const_nhds
(hasSum_iff_tendsto_nat_of_nonneg (pow_nonneg h₁) _).mpr <| by
simp_all [neg_inv, geom_sum_eq, div_eq_mul_inv]
theorem summable_geometric_of_lt_one {r : ℝ} (h₁ : 0 ≤ r) (h₂ : r < 1) :
Summable fun n : ℕ ↦ r ^ n :=
⟨_, hasSum_geometric_of_lt_one h₁ h₂⟩
theorem tsum_geometric_of_lt_one {r : ℝ} (h₁ : 0 ≤ r) (h₂ : r < 1) : ∑' n : ℕ, r ^ n = (1 - r)⁻¹ :=
(hasSum_geometric_of_lt_one h₁ h₂).tsum_eq
theorem hasSum_geometric_two : HasSum (fun n : ℕ ↦ ((1 : ℝ) / 2) ^ n) 2 := by
convert hasSum_geometric_of_lt_one _ _ <;> norm_num
theorem summable_geometric_two : Summable fun n : ℕ ↦ ((1 : ℝ) / 2) ^ n :=
⟨_, hasSum_geometric_two⟩
theorem summable_geometric_two_encode {ι : Type*} [Encodable ι] :
Summable fun i : ι ↦ (1 / 2 : ℝ) ^ Encodable.encode i :=
summable_geometric_two.comp_injective Encodable.encode_injective
theorem tsum_geometric_two : (∑' n : ℕ, ((1 : ℝ) / 2) ^ n) = 2 :=
hasSum_geometric_two.tsum_eq
theorem sum_geometric_two_le (n : ℕ) : (∑ i ∈ range n, (1 / (2 : ℝ)) ^ i) ≤ 2 := by
have : ∀ i, 0 ≤ (1 / (2 : ℝ)) ^ i := by
intro i
apply pow_nonneg
norm_num
convert summable_geometric_two.sum_le_tsum (range n) (fun i _ ↦ this i)
exact tsum_geometric_two.symm
theorem tsum_geometric_inv_two : (∑' n : ℕ, (2 : ℝ)⁻¹ ^ n) = 2 :=
(inv_eq_one_div (2 : ℝ)).symm ▸ tsum_geometric_two
/-- The sum of `2⁻¹ ^ i` for `n ≤ i` equals `2 * 2⁻¹ ^ n`. -/
theorem tsum_geometric_inv_two_ge (n : ℕ) :
(∑' i, ite (n ≤ i) ((2 : ℝ)⁻¹ ^ i) 0) = 2 * 2⁻¹ ^ n := by
have A : Summable fun i : ℕ ↦ ite (n ≤ i) ((2⁻¹ : ℝ) ^ i) 0 := by
simpa only [← piecewise_eq_indicator, one_div]
using summable_geometric_two.indicator {i | n ≤ i}
have B : ((Finset.range n).sum fun i : ℕ ↦ ite (n ≤ i) ((2⁻¹ : ℝ) ^ i) 0) = 0 :=
Finset.sum_eq_zero fun i hi ↦
ite_eq_right_iff.2 fun h ↦ (lt_irrefl _ ((Finset.mem_range.1 hi).trans_le h)).elim
simp only [← Summable.sum_add_tsum_nat_add n A, B, if_true, zero_add, zero_le',
le_add_iff_nonneg_left, pow_add, _root_.tsum_mul_right, tsum_geometric_inv_two]
theorem hasSum_geometric_two' (a : ℝ) : HasSum (fun n : ℕ ↦ a / 2 / 2 ^ n) a := by
convert HasSum.mul_left (a / 2)
(hasSum_geometric_of_lt_one (le_of_lt one_half_pos) one_half_lt_one) using 1
· funext n
simp only [one_div, inv_pow]
rfl
· norm_num
theorem summable_geometric_two' (a : ℝ) : Summable fun n : ℕ ↦ a / 2 / 2 ^ n :=
⟨a, hasSum_geometric_two' a⟩
theorem tsum_geometric_two' (a : ℝ) : ∑' n : ℕ, a / 2 / 2 ^ n = a :=
(hasSum_geometric_two' a).tsum_eq
/-- **Sum of a Geometric Series** -/
theorem NNReal.hasSum_geometric {r : ℝ≥0} (hr : r < 1) : HasSum (fun n : ℕ ↦ r ^ n) (1 - r)⁻¹ := by
apply NNReal.hasSum_coe.1
push_cast
rw [NNReal.coe_sub (le_of_lt hr)]
exact hasSum_geometric_of_lt_one r.coe_nonneg hr
theorem NNReal.summable_geometric {r : ℝ≥0} (hr : r < 1) : Summable fun n : ℕ ↦ r ^ n :=
⟨_, NNReal.hasSum_geometric hr⟩
theorem tsum_geometric_nnreal {r : ℝ≥0} (hr : r < 1) : ∑' n : ℕ, r ^ n = (1 - r)⁻¹ :=
(NNReal.hasSum_geometric hr).tsum_eq
/-- The series `pow r` converges to `(1-r)⁻¹`. For `r < 1` the RHS is a finite number,
and for `1 ≤ r` the RHS equals `∞`. -/
@[simp]
theorem ENNReal.tsum_geometric (r : ℝ≥0∞) : ∑' n : ℕ, r ^ n = (1 - r)⁻¹ := by
rcases lt_or_le r 1 with hr | hr
· rcases ENNReal.lt_iff_exists_coe.1 hr with ⟨r, rfl, hr'⟩
norm_cast at *
convert ENNReal.tsum_coe_eq (NNReal.hasSum_geometric hr)
| rw [ENNReal.coe_inv <| ne_of_gt <| tsub_pos_iff_lt.2 hr, coe_sub, coe_one]
· rw [tsub_eq_zero_iff_le.mpr hr, ENNReal.inv_zero, ENNReal.tsum_eq_iSup_nat, iSup_eq_top]
| Mathlib/Analysis/SpecificLimits/Basic.lean | 379 | 380 |
/-
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.Algebra.Group.Subgroup.Ker
import Mathlib.Algebra.BigOperators.Group.List.Basic
/-!
# Free groups
This file defines free groups over a type. Furthermore, it is shown that the free group construction
is an instance of a monad. For the result that `FreeGroup` is the left adjoint to the forgetful
functor from groups to types, see `Mathlib/Algebra/Category/Grp/Adjunctions.lean`.
## Main definitions
* `FreeGroup`/`FreeAddGroup`: the free group (resp. free additive group) associated to a type
`α` defined as the words over `a : α × Bool` modulo the relation `a * x * x⁻¹ * b = a * b`.
* `FreeGroup.mk`/`FreeAddGroup.mk`: the canonical quotient map `List (α × Bool) → FreeGroup α`.
* `FreeGroup.of`/`FreeAddGroup.of`: the canonical injection `α → FreeGroup α`.
* `FreeGroup.lift f`/`FreeAddGroup.lift`: the canonical group homomorphism `FreeGroup α →* G`
given a group `G` and a function `f : α → G`.
## Main statements
* `FreeGroup.Red.church_rosser`/`FreeAddGroup.Red.church_rosser`: The Church-Rosser theorem for word
reduction (also known as Newman's diamond lemma).
* `FreeGroup.freeGroupUnitEquivInt`: The free group over the one-point type
is isomorphic to the integers.
* The free group construction is an instance of a monad.
## Implementation details
First we introduce the one step reduction relation `FreeGroup.Red.Step`:
`w * x * x⁻¹ * v ~> w * v`, its reflexive transitive closure `FreeGroup.Red.trans`
and prove that its join is an equivalence relation. Then we introduce `FreeGroup α` as a quotient
over `FreeGroup.Red.Step`.
For the additive version we introduce the same relation under a different name so that we can
distinguish the quotient types more easily.
## Tags
free group, Newman's diamond lemma, Church-Rosser theorem
-/
open Relation
open scoped List
universe u v w
variable {α : Type u}
attribute [local simp] List.append_eq_has_append
-- Porting note: to_additive.map_namespace is not supported yet
-- worked around it by putting a few extra manual mappings (but not too many all in all)
-- run_cmd to_additive.map_namespace `FreeGroup `FreeAddGroup
/-- Reduction step for the additive free group relation: `w + x + (-x) + v ~> w + v` -/
inductive FreeAddGroup.Red.Step : List (α × Bool) → List (α × Bool) → Prop
| not {L₁ L₂ x b} : FreeAddGroup.Red.Step (L₁ ++ (x, b) :: (x, not b) :: L₂) (L₁ ++ L₂)
attribute [simp] FreeAddGroup.Red.Step.not
/-- Reduction step for the multiplicative free group relation: `w * x * x⁻¹ * v ~> w * v` -/
@[to_additive FreeAddGroup.Red.Step]
inductive FreeGroup.Red.Step : List (α × Bool) → List (α × Bool) → Prop
| not {L₁ L₂ x b} : FreeGroup.Red.Step (L₁ ++ (x, b) :: (x, not b) :: L₂) (L₁ ++ L₂)
attribute [simp] FreeGroup.Red.Step.not
namespace FreeGroup
variable {L L₁ L₂ L₃ L₄ : List (α × Bool)}
/-- Reflexive-transitive closure of `Red.Step` -/
@[to_additive FreeAddGroup.Red "Reflexive-transitive closure of `Red.Step`"]
def Red : List (α × Bool) → List (α × Bool) → Prop :=
ReflTransGen Red.Step
@[to_additive (attr := refl)]
theorem Red.refl : Red L L :=
ReflTransGen.refl
@[to_additive (attr := trans)]
theorem Red.trans : Red L₁ L₂ → Red L₂ L₃ → Red L₁ L₃ :=
ReflTransGen.trans
namespace Red
/-- Predicate asserting that the word `w₁` can be reduced to `w₂` in one step, i.e. there are words
`w₃ w₄` and letter `x` such that `w₁ = w₃xx⁻¹w₄` and `w₂ = w₃w₄` -/
@[to_additive "Predicate asserting that the word `w₁` can be reduced to `w₂` in one step, i.e. there
are words `w₃ w₄` and letter `x` such that `w₁ = w₃ + x + (-x) + w₄` and `w₂ = w₃w₄`"]
theorem Step.length : ∀ {L₁ L₂ : List (α × Bool)}, Step L₁ L₂ → L₂.length + 2 = L₁.length
| _, _, @Red.Step.not _ L1 L2 x b => by rw [List.length_append, List.length_append]; rfl
@[to_additive (attr := simp)]
theorem Step.not_rev {x b} : Step (L₁ ++ (x, !b) :: (x, b) :: L₂) (L₁ ++ L₂) := by
cases b <;> exact Step.not
@[to_additive (attr := simp)]
theorem Step.cons_not {x b} : Red.Step ((x, b) :: (x, !b) :: L) L :=
@Step.not _ [] _ _ _
@[to_additive (attr := simp)]
theorem Step.cons_not_rev {x b} : Red.Step ((x, !b) :: (x, b) :: L) L :=
@Red.Step.not_rev _ [] _ _ _
@[to_additive]
theorem Step.append_left : ∀ {L₁ L₂ L₃ : List (α × Bool)}, Step L₂ L₃ → Step (L₁ ++ L₂) (L₁ ++ L₃)
| _, _, _, Red.Step.not => by rw [← List.append_assoc, ← List.append_assoc]; constructor
@[to_additive]
theorem Step.cons {x} (H : Red.Step L₁ L₂) : Red.Step (x :: L₁) (x :: L₂) :=
@Step.append_left _ [x] _ _ H
@[to_additive]
theorem Step.append_right : ∀ {L₁ L₂ L₃ : List (α × Bool)}, Step L₁ L₂ → Step (L₁ ++ L₃) (L₂ ++ L₃)
| _, _, _, Red.Step.not => by simp
@[to_additive]
theorem not_step_nil : ¬Step [] L := by
generalize h' : [] = L'
intro h
rcases h with - | ⟨L₁, L₂⟩
simp [List.nil_eq_append_iff] at h'
@[to_additive]
theorem Step.cons_left_iff {a : α} {b : Bool} :
Step ((a, b) :: L₁) L₂ ↔ (∃ L, Step L₁ L ∧ L₂ = (a, b) :: L) ∨ L₁ = (a, ! b) :: L₂ := by
constructor
· generalize hL : ((a, b) :: L₁ : List _) = L
rintro @⟨_ | ⟨p, s'⟩, e, a', b'⟩ <;> simp_all
· rintro (⟨L, h, rfl⟩ | rfl)
· exact Step.cons h
· exact Step.cons_not
@[to_additive]
theorem not_step_singleton : ∀ {p : α × Bool}, ¬Step [p] L
| (a, b) => by simp [Step.cons_left_iff, not_step_nil]
@[to_additive]
theorem Step.cons_cons_iff : ∀ {p : α × Bool}, Step (p :: L₁) (p :: L₂) ↔ Step L₁ L₂ := by
simp +contextual [Step.cons_left_iff, iff_def, or_imp]
@[to_additive]
theorem Step.append_left_iff : ∀ L, Step (L ++ L₁) (L ++ L₂) ↔ Step L₁ L₂
| [] => by simp
| p :: l => by simp [Step.append_left_iff l, Step.cons_cons_iff]
@[to_additive]
theorem Step.diamond_aux :
∀ {L₁ L₂ L₃ L₄ : List (α × Bool)} {x1 b1 x2 b2},
L₁ ++ (x1, b1) :: (x1, !b1) :: L₂ = L₃ ++ (x2, b2) :: (x2, !b2) :: L₄ →
L₁ ++ L₂ = L₃ ++ L₄ ∨ ∃ L₅, Red.Step (L₁ ++ L₂) L₅ ∧ Red.Step (L₃ ++ L₄) L₅
| [], _, [], _, _, _, _, _, H => by injections; subst_vars; simp
| [], _, [(x3, b3)], _, _, _, _, _, H => by injections; subst_vars; simp
| [(x3, b3)], _, [], _, _, _, _, _, H => by injections; subst_vars; simp
| [], _, (x3, b3) :: (x4, b4) :: tl, _, _, _, _, _, H => by
injections; subst_vars; right; exact ⟨_, Red.Step.not, Red.Step.cons_not⟩
| (x3, b3) :: (x4, b4) :: tl, _, [], _, _, _, _, _, H => by
injections; subst_vars; right; simpa using ⟨_, Red.Step.cons_not, Red.Step.not⟩
| (x3, b3) :: tl, _, (x4, b4) :: tl2, _, _, _, _, _, H =>
let ⟨H1, H2⟩ := List.cons.inj H
match Step.diamond_aux H2 with
| Or.inl H3 => Or.inl <| by simp [H1, H3]
| Or.inr ⟨L₅, H3, H4⟩ => Or.inr ⟨_, Step.cons H3, by simpa [H1] using Step.cons H4⟩
@[to_additive]
theorem Step.diamond :
∀ {L₁ L₂ L₃ L₄ : List (α × Bool)},
Red.Step L₁ L₃ → Red.Step L₂ L₄ → L₁ = L₂ → L₃ = L₄ ∨ ∃ L₅, Red.Step L₃ L₅ ∧ Red.Step L₄ L₅
| _, _, _, _, Red.Step.not, Red.Step.not, H => Step.diamond_aux H
@[to_additive]
theorem Step.to_red : Step L₁ L₂ → Red L₁ L₂ :=
ReflTransGen.single
/-- **Church-Rosser theorem** for word reduction: If `w1 w2 w3` are words such that `w1` reduces
to `w2` and `w3` respectively, then there is a word `w4` such that `w2` and `w3` reduce to `w4`
respectively. This is also known as Newman's diamond lemma. -/
@[to_additive
"**Church-Rosser theorem** for word reduction: If `w1 w2 w3` are words such that `w1` reduces
to `w2` and `w3` respectively, then there is a word `w4` such that `w2` and `w3` reduce to `w4`
respectively. This is also known as Newman's diamond lemma."]
theorem church_rosser : Red L₁ L₂ → Red L₁ L₃ → Join Red L₂ L₃ :=
Relation.church_rosser fun _ b c hab hac =>
match b, c, Red.Step.diamond hab hac rfl with
| b, _, Or.inl rfl => ⟨b, by rfl, by rfl⟩
| _, _, Or.inr ⟨d, hbd, hcd⟩ => ⟨d, ReflGen.single hbd, hcd.to_red⟩
@[to_additive]
theorem cons_cons {p} : Red L₁ L₂ → Red (p :: L₁) (p :: L₂) :=
ReflTransGen.lift (List.cons p) fun _ _ => Step.cons
@[to_additive]
theorem cons_cons_iff (p) : Red (p :: L₁) (p :: L₂) ↔ Red L₁ L₂ :=
Iff.intro
(by
generalize eq₁ : (p :: L₁ : List _) = LL₁
generalize eq₂ : (p :: L₂ : List _) = LL₂
intro h
induction h using Relation.ReflTransGen.head_induction_on generalizing L₁ L₂ with
| refl =>
subst_vars
cases eq₂
constructor
| head h₁₂ h ih =>
subst_vars
obtain ⟨a, b⟩ := p
rw [Step.cons_left_iff] at h₁₂
rcases h₁₂ with (⟨L, h₁₂, rfl⟩ | rfl)
· exact (ih rfl rfl).head h₁₂
· exact (cons_cons h).tail Step.cons_not_rev)
cons_cons
@[to_additive]
theorem append_append_left_iff : ∀ L, Red (L ++ L₁) (L ++ L₂) ↔ Red L₁ L₂
| [] => Iff.rfl
| p :: L => by simp [append_append_left_iff L, cons_cons_iff]
@[to_additive]
theorem append_append (h₁ : Red L₁ L₃) (h₂ : Red L₂ L₄) : Red (L₁ ++ L₂) (L₃ ++ L₄) :=
(h₁.lift (fun L => L ++ L₂) fun _ _ => Step.append_right).trans ((append_append_left_iff _).2 h₂)
@[to_additive]
theorem to_append_iff : Red L (L₁ ++ L₂) ↔ ∃ L₃ L₄, L = L₃ ++ L₄ ∧ Red L₃ L₁ ∧ Red L₄ L₂ :=
Iff.intro
(by
generalize eq : L₁ ++ L₂ = L₁₂
intro h
induction h generalizing L₁ L₂ with
| refl => exact ⟨_, _, eq.symm, by rfl, by rfl⟩
| tail hLL' h ih =>
obtain @⟨s, e, a, b⟩ := h
rcases List.append_eq_append_iff.1 eq with (⟨s', rfl, rfl⟩ | ⟨e', rfl, rfl⟩)
· have : L₁ ++ (s' ++ (a, b) :: (a, not b) :: e) = L₁ ++ s' ++ (a, b) :: (a, not b) :: e :=
by simp
rcases ih this with ⟨w₁, w₂, rfl, h₁, h₂⟩
exact ⟨w₁, w₂, rfl, h₁, h₂.tail Step.not⟩
· have : s ++ (a, b) :: (a, not b) :: e' ++ L₂ = s ++ (a, b) :: (a, not b) :: (e' ++ L₂) :=
by simp
rcases ih this with ⟨w₁, w₂, rfl, h₁, h₂⟩
exact ⟨w₁, w₂, rfl, h₁.tail Step.not, h₂⟩)
fun ⟨_, _, Eq, h₃, h₄⟩ => Eq.symm ▸ append_append h₃ h₄
/-- The empty word `[]` only reduces to itself. -/
@[to_additive "The empty word `[]` only reduces to itself."]
theorem nil_iff : Red [] L ↔ L = [] :=
reflTransGen_iff_eq fun _ => Red.not_step_nil
/-- A letter only reduces to itself. -/
@[to_additive "A letter only reduces to itself."]
theorem singleton_iff {x} : Red [x] L₁ ↔ L₁ = [x] :=
reflTransGen_iff_eq fun _ => not_step_singleton
/-- If `x` is a letter and `w` is a word such that `xw` reduces to the empty word, then `w` reduces
to `x⁻¹` -/
@[to_additive
"If `x` is a letter and `w` is a word such that `x + w` reduces to the empty word, then `w`
reduces to `-x`."]
theorem cons_nil_iff_singleton {x b} : Red ((x, b) :: L) [] ↔ Red L [(x, not b)] :=
Iff.intro
(fun h => by
have h₁ : Red ((x, not b) :: (x, b) :: L) [(x, not b)] := cons_cons h
have h₂ : Red ((x, not b) :: (x, b) :: L) L := ReflTransGen.single Step.cons_not_rev
let ⟨L', h₁, h₂⟩ := church_rosser h₁ h₂
rw [singleton_iff] at h₁
subst L'
assumption)
fun h => (cons_cons h).tail Step.cons_not
@[to_additive]
theorem red_iff_irreducible {x1 b1 x2 b2} (h : (x1, b1) ≠ (x2, b2)) :
Red [(x1, !b1), (x2, b2)] L ↔ L = [(x1, !b1), (x2, b2)] := by
apply reflTransGen_iff_eq
generalize eq : [(x1, not b1), (x2, b2)] = L'
intro L h'
cases h'
simp only [List.cons_eq_append_iff, List.cons.injEq, Prod.mk.injEq, and_false,
List.nil_eq_append_iff, exists_const, or_self, or_false, List.cons_ne_nil] at eq
rcases eq with ⟨rfl, ⟨rfl, rfl⟩, ⟨rfl, rfl⟩, rfl⟩
simp at h
/-- If `x` and `y` are distinct letters and `w₁ w₂` are words such that `xw₁` reduces to `yw₂`, then
`w₁` reduces to `x⁻¹yw₂`. -/
@[to_additive "If `x` and `y` are distinct letters and `w₁ w₂` are words such that `x + w₁` reduces
to `y + w₂`, then `w₁` reduces to `-x + y + w₂`."]
theorem inv_of_red_of_ne {x1 b1 x2 b2} (H1 : (x1, b1) ≠ (x2, b2))
(H2 : Red ((x1, b1) :: L₁) ((x2, b2) :: L₂)) : Red L₁ ((x1, not b1) :: (x2, b2) :: L₂) := by
have : Red ((x1, b1) :: L₁) ([(x2, b2)] ++ L₂) := H2
rcases to_append_iff.1 this with ⟨_ | ⟨p, L₃⟩, L₄, eq, h₁, h₂⟩
· simp [nil_iff] at h₁
· cases eq
show Red (L₃ ++ L₄) ([(x1, not b1), (x2, b2)] ++ L₂)
apply append_append _ h₂
have h₁ : Red ((x1, not b1) :: (x1, b1) :: L₃) [(x1, not b1), (x2, b2)] := cons_cons h₁
have h₂ : Red ((x1, not b1) :: (x1, b1) :: L₃) L₃ := Step.cons_not_rev.to_red
rcases church_rosser h₁ h₂ with ⟨L', h₁, h₂⟩
rw [red_iff_irreducible H1] at h₁
rwa [h₁] at h₂
open List -- for <+ notation
@[to_additive]
theorem Step.sublist (H : Red.Step L₁ L₂) : L₂ <+ L₁ := by
cases H; simp
/-- If `w₁ w₂` are words such that `w₁` reduces to `w₂`, then `w₂` is a sublist of `w₁`. -/
@[to_additive "If `w₁ w₂` are words such that `w₁` reduces to `w₂`, then `w₂` is a sublist of
`w₁`."]
protected theorem sublist : Red L₁ L₂ → L₂ <+ L₁ :=
@reflTransGen_of_transitive_reflexive
_ (fun a b => b <+ a) _ _ _
(fun l => List.Sublist.refl l)
(fun _a _b _c hab hbc => List.Sublist.trans hbc hab)
(fun _ _ => Red.Step.sublist)
@[to_additive]
theorem length_le (h : Red L₁ L₂) : L₂.length ≤ L₁.length :=
h.sublist.length_le
@[to_additive]
theorem sizeof_of_step : ∀ {L₁ L₂ : List (α × Bool)},
Step L₁ L₂ → sizeOf L₂ < sizeOf L₁
| _, _, @Step.not _ L1 L2 x b => by
induction L1 with
| nil =>
dsimp
omega
| cons hd tl ih =>
dsimp
exact Nat.add_lt_add_left ih _
@[to_additive]
theorem length (h : Red L₁ L₂) : ∃ n, L₁.length = L₂.length + 2 * n := by
induction h with
| refl => exact ⟨0, rfl⟩
| tail _h₁₂ h₂₃ ih =>
rcases ih with ⟨n, eq⟩
exists 1 + n
simp [Nat.mul_add, eq, (Step.length h₂₃).symm, add_assoc]
@[to_additive]
theorem antisymm (h₁₂ : Red L₁ L₂) (h₂₁ : Red L₂ L₁) : L₁ = L₂ :=
h₂₁.sublist.antisymm h₁₂.sublist
end Red
@[to_additive FreeAddGroup.equivalence_join_red]
theorem equivalence_join_red : Equivalence (Join (@Red α)) :=
equivalence_join_reflTransGen fun _ b c hab hac =>
match b, c, Red.Step.diamond hab hac rfl with
| b, _, Or.inl rfl => ⟨b, by rfl, by rfl⟩
| _, _, Or.inr ⟨d, hbd, hcd⟩ => ⟨d, ReflGen.single hbd, ReflTransGen.single hcd⟩
@[to_additive FreeAddGroup.join_red_of_step]
theorem join_red_of_step (h : Red.Step L₁ L₂) : Join Red L₁ L₂ :=
join_of_single reflexive_reflTransGen h.to_red
@[to_additive FreeAddGroup.eqvGen_step_iff_join_red]
theorem eqvGen_step_iff_join_red : EqvGen Red.Step L₁ L₂ ↔ Join Red L₁ L₂ :=
Iff.intro
(fun h =>
have : EqvGen (Join Red) L₁ L₂ := h.mono fun _ _ => join_red_of_step
equivalence_join_red.eqvGen_iff.1 this)
(join_of_equivalence (Relation.EqvGen.is_equivalence _) fun _ _ =>
reflTransGen_of_equivalence (Relation.EqvGen.is_equivalence _) EqvGen.rel)
end FreeGroup
/--
If `α` is a type, then `FreeGroup α` is the free group generated by `α`.
This is a group equipped with a function `FreeGroup.of : α → FreeGroup α` which has
the following universal property: if `G` is any group, and `f : α → G` is any function,
then this function is the composite of `FreeGroup.of` and a unique group homomorphism
`FreeGroup.lift f : FreeGroup α →* G`.
A typical element of `FreeGroup α` is a formal product of
elements of `α` and their formal inverses, quotient by reduction.
For example if `x` and `y` are terms of type `α` then `x⁻¹ * y * y * x * y⁻¹` is a
"typical" element of `FreeGroup α`. In particular if `α` is empty
then `FreeGroup α` is isomorphic to the trivial group, and if `α` has one term
then `FreeGroup α` is isomorphic to `Multiplicative ℤ`.
If `α` has two or more terms then `FreeGroup α` is not commutative.
-/
@[to_additive
"
If `α` is a type, then `FreeAddGroup α` is the free additive group generated by `α`.
This is a group equipped with a function `FreeAddGroup.of : α → FreeAddGroup α` which has
the following universal property: if `G` is any group, and `f : α → G` is any function,
then this function is the composite of `FreeAddGroup.of` and a unique group homomorphism
`FreeAddGroup.lift f : FreeAddGroup α →+ G`.
A typical element of `FreeAddGroup α` is a formal sum of
elements of `α` and their formal inverses, quotient by reduction.
For example if `x` and `y` are terms of type `α` then `-x + y + y + x + -y` is a
\"typical\" element of `FreeAddGroup α`. In particular if `α` is empty
then `FreeAddGroup α` is isomorphic to the trivial group, and if `α` has one term
then `FreeAddGroup α` is isomorphic to `ℤ`.
If `α` has two or more terms then `FreeAddGroup α` is not commutative.
"]
def FreeGroup (α : Type u) : Type u :=
Quot <| @FreeGroup.Red.Step α
namespace FreeGroup
variable {L L₁ L₂ L₃ L₄ : List (α × Bool)}
/-- The canonical map from `List (α × Bool)` to the free group on `α`. -/
@[to_additive "The canonical map from `List (α × Bool)` to the free additive group on `α`."]
def mk (L : List (α × Bool)) : FreeGroup α :=
Quot.mk Red.Step L
@[to_additive (attr := simp)]
theorem quot_mk_eq_mk : Quot.mk Red.Step L = mk L :=
rfl
@[to_additive (attr := simp)]
theorem quot_lift_mk (β : Type v) (f : List (α × Bool) → β)
| (H : ∀ L₁ L₂, Red.Step L₁ L₂ → f L₁ = f L₂) : Quot.lift f H (mk L) = f L :=
rfl
@[to_additive (attr := simp)]
theorem quot_liftOn_mk (β : Type v) (f : List (α × Bool) → β)
(H : ∀ L₁ L₂, Red.Step L₁ L₂ → f L₁ = f L₂) : Quot.liftOn (mk L) f H = f L :=
| Mathlib/GroupTheory/FreeGroup/Basic.lean | 426 | 431 |
/-
Copyright (c) 2020 Johan Commelin. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johan Commelin, Robert Y. Lewis
-/
import Mathlib.FieldTheory.Finite.Polynomial
import Mathlib.NumberTheory.Basic
import Mathlib.RingTheory.WittVector.WittPolynomial
/-!
# Witt structure polynomials
In this file we prove the main theorem that makes the whole theory of Witt vectors work.
Briefly, consider a polynomial `Φ : MvPolynomial idx ℤ` over the integers,
with polynomials variables indexed by an arbitrary type `idx`.
Then there exists a unique family of polynomials `φ : ℕ → MvPolynomial (idx × ℕ) Φ`
such that for all `n : ℕ` we have (`wittStructureInt_existsUnique`)
```
bind₁ φ (wittPolynomial p ℤ n) = bind₁ (fun i ↦ (rename (prod.mk i) (wittPolynomial p ℤ n))) Φ
```
In other words: evaluating the `n`-th Witt polynomial on the family `φ`
is the same as evaluating `Φ` on the (appropriately renamed) `n`-th Witt polynomials.
N.b.: As far as we know, these polynomials do not have a name in the literature,
so we have decided to call them the “Witt structure polynomials”. See `wittStructureInt`.
## Special cases
With the main result of this file in place, we apply it to certain special polynomials.
For example, by taking `Φ = X tt + X ff` resp. `Φ = X tt * X ff`
we obtain families of polynomials `witt_add` resp. `witt_mul`
(with type `ℕ → MvPolynomial (Bool × ℕ) ℤ`) that will be used in later files to define the
addition and multiplication on the ring of Witt vectors.
## Outline of the proof
The proof of `wittStructureInt_existsUnique` is rather technical, and takes up most of this file.
We start by proving the analogous version for polynomials with rational coefficients,
instead of integer coefficients.
In this case, the solution is rather easy,
since the Witt polynomials form a faithful change of coordinates
in the polynomial ring `MvPolynomial ℕ ℚ`.
We therefore obtain a family of polynomials `wittStructureRat Φ`
for every `Φ : MvPolynomial idx ℚ`.
If `Φ` has integer coefficients, then the polynomials `wittStructureRat Φ n` do so as well.
Proving this claim is the essential core of this file, and culminates in
`map_wittStructureInt`, which proves that upon mapping the coefficients
of `wittStructureInt Φ n` from the integers to the rationals,
one obtains `wittStructureRat Φ n`.
Ultimately, the proof of `map_wittStructureInt` relies on
```
dvd_sub_pow_of_dvd_sub {R : Type*} [CommRing R] {p : ℕ} {a b : R} :
(p : R) ∣ a - b → ∀ (k : ℕ), (p : R) ^ (k + 1) ∣ a ^ p ^ k - b ^ p ^ k
```
## Main results
* `wittStructureRat Φ`: the family of polynomials `ℕ → MvPolynomial (idx × ℕ) ℚ`
associated with `Φ : MvPolynomial idx ℚ` and satisfying the property explained above.
* `wittStructureRat_prop`: the proof that `wittStructureRat` indeed satisfies the property.
* `wittStructureInt Φ`: the family of polynomials `ℕ → MvPolynomial (idx × ℕ) ℤ`
associated with `Φ : MvPolynomial idx ℤ` and satisfying the property explained above.
* `map_wittStructureInt`: the proof that the integral polynomials `with_structure_int Φ`
are equal to `wittStructureRat Φ` when mapped to polynomials with rational coefficients.
* `wittStructureInt_prop`: the proof that `wittStructureInt` indeed satisfies the property.
* Five families of polynomials that will be used to define the ring structure
on the ring of Witt vectors:
- `WittVector.wittZero`
- `WittVector.wittOne`
- `WittVector.wittAdd`
- `WittVector.wittMul`
- `WittVector.wittNeg`
(We also define `WittVector.wittSub`, and later we will prove that it describes subtraction,
which is defined as `fun a b ↦ a + -b`. See `WittVector.sub_coeff` for this proof.)
## References
* [Hazewinkel, *Witt Vectors*][Haze09]
* [Commelin and Lewis, *Formalizing the Ring of Witt Vectors*][CL21]
-/
open MvPolynomial Set
open Finset (range)
open Finsupp (single)
-- This lemma reduces a bundled morphism to a "mere" function,
-- and consequently the simplifier cannot use a lot of powerful simp-lemmas.
-- We disable this locally, and probably it should be disabled globally in mathlib.
attribute [-simp] coe_eval₂Hom
variable {p : ℕ} {R : Type*} {idx : Type*} [CommRing R]
open scoped Witt
section PPrime
variable (p)
variable [hp : Fact p.Prime]
-- Notation with ring of coefficients explicit
set_option quotPrecheck false in
@[inherit_doc]
scoped[Witt] notation "W_" => wittPolynomial p
-- Notation with ring of coefficients implicit
set_option quotPrecheck false in
@[inherit_doc]
scoped[Witt] notation "W" => wittPolynomial p _
/-- `wittStructureRat Φ` is a family of polynomials `ℕ → MvPolynomial (idx × ℕ) ℚ`
that are uniquely characterised by the property that
```
bind₁ (wittStructureRat p Φ) (wittPolynomial p ℚ n) =
bind₁ (fun i ↦ (rename (prod.mk i) (wittPolynomial p ℚ n))) Φ
```
In other words: evaluating the `n`-th Witt polynomial on the family `wittStructureRat Φ`
is the same as evaluating `Φ` on the (appropriately renamed) `n`-th Witt polynomials.
See `wittStructureRat_prop` for this property,
and `wittStructureRat_existsUnique` for the fact that `wittStructureRat`
gives the unique family of polynomials with this property.
These polynomials turn out to have integral coefficients,
but it requires some effort to show this.
See `wittStructureInt` for the version with integral coefficients,
and `map_wittStructureInt` for the fact that it is equal to `wittStructureRat`
when mapped to polynomials over the rationals. -/
noncomputable def wittStructureRat (Φ : MvPolynomial idx ℚ) (n : ℕ) : MvPolynomial (idx × ℕ) ℚ :=
bind₁ (fun k => bind₁ (fun i => rename (Prod.mk i) (W_ ℚ k)) Φ) (xInTermsOfW p ℚ n)
theorem wittStructureRat_prop (Φ : MvPolynomial idx ℚ) (n : ℕ) :
bind₁ (wittStructureRat p Φ) (W_ ℚ n) = bind₁ (fun i => rename (Prod.mk i) (W_ ℚ n)) Φ :=
calc
bind₁ (wittStructureRat p Φ) (W_ ℚ n) =
bind₁ (fun k => bind₁ (fun i => (rename (Prod.mk i)) (W_ ℚ k)) Φ)
(bind₁ (xInTermsOfW p ℚ) (W_ ℚ n)) := by
rw [bind₁_bind₁]; exact eval₂Hom_congr (RingHom.ext_rat _ _) rfl rfl
_ = bind₁ (fun i => rename (Prod.mk i) (W_ ℚ n)) Φ := by
rw [bind₁_xInTermsOfW_wittPolynomial p _ n, bind₁_X_right]
theorem wittStructureRat_existsUnique (Φ : MvPolynomial idx ℚ) :
∃! φ : ℕ → MvPolynomial (idx × ℕ) ℚ,
∀ n : ℕ, bind₁ φ (W_ ℚ n) = bind₁ (fun i => rename (Prod.mk i) (W_ ℚ n)) Φ := by
refine ⟨wittStructureRat p Φ, ?_, ?_⟩
· intro n; apply wittStructureRat_prop
· intro φ H
funext n
rw [show φ n = bind₁ φ (bind₁ (W_ ℚ) (xInTermsOfW p ℚ n)) by
rw [bind₁_wittPolynomial_xInTermsOfW p, bind₁_X_right]]
rw [bind₁_bind₁]
exact eval₂Hom_congr (RingHom.ext_rat _ _) (funext H) rfl
theorem wittStructureRat_rec_aux (Φ : MvPolynomial idx ℚ) (n : ℕ) :
wittStructureRat p Φ n * C ((p : ℚ) ^ n) =
bind₁ (fun b => rename (fun i => (b, i)) (W_ ℚ n)) Φ -
∑ i ∈ range n, C ((p : ℚ) ^ i) * wittStructureRat p Φ i ^ p ^ (n - i) := by
have := xInTermsOfW_aux p ℚ n
replace := congr_arg (bind₁ fun k : ℕ => bind₁ (fun i => rename (Prod.mk i) (W_ ℚ k)) Φ) this
rw [map_mul, bind₁_C_right] at this
rw [wittStructureRat, this]; clear this
conv_lhs => simp only [map_sub, bind₁_X_right]
rw [sub_right_inj]
simp only [map_sum, map_mul, bind₁_C_right, map_pow]
rfl
/-- Write `wittStructureRat p φ n` in terms of `wittStructureRat p φ i` for `i < n`. -/
theorem wittStructureRat_rec (Φ : MvPolynomial idx ℚ) (n : ℕ) :
wittStructureRat p Φ n =
C (1 / (p : ℚ) ^ n) *
(bind₁ (fun b => rename (fun i => (b, i)) (W_ ℚ n)) Φ -
∑ i ∈ range n, C ((p : ℚ) ^ i) * wittStructureRat p Φ i ^ p ^ (n - i)) := by
calc
wittStructureRat p Φ n = C (1 / (p : ℚ) ^ n) * (wittStructureRat p Φ n * C ((p : ℚ) ^ n)) := ?_
_ = _ := by rw [wittStructureRat_rec_aux]
rw [mul_left_comm, ← C_mul, div_mul_cancel₀, C_1, mul_one]
exact pow_ne_zero _ (Nat.cast_ne_zero.2 hp.1.ne_zero)
/-- `wittStructureInt Φ` is a family of polynomials `ℕ → MvPolynomial (idx × ℕ) ℤ`
that are uniquely characterised by the property that
```
bind₁ (wittStructureInt p Φ) (wittPolynomial p ℤ n) =
bind₁ (fun i ↦ (rename (prod.mk i) (wittPolynomial p ℤ n))) Φ
```
In other words: evaluating the `n`-th Witt polynomial on the family `wittStructureInt Φ`
is the same as evaluating `Φ` on the (appropriately renamed) `n`-th Witt polynomials.
See `wittStructureInt_prop` for this property,
and `wittStructureInt_existsUnique` for the fact that `wittStructureInt`
gives the unique family of polynomials with this property. -/
noncomputable def wittStructureInt (Φ : MvPolynomial idx ℤ) (n : ℕ) : MvPolynomial (idx × ℕ) ℤ :=
Finsupp.mapRange Rat.num (Rat.num_intCast 0) (wittStructureRat p (map (Int.castRingHom ℚ) Φ) n)
variable {p}
theorem bind₁_rename_expand_wittPolynomial (Φ : MvPolynomial idx ℤ) (n : ℕ)
(IH :
∀ m : ℕ,
m < n + 1 →
map (Int.castRingHom ℚ) (wittStructureInt p Φ m) =
wittStructureRat p (map (Int.castRingHom ℚ) Φ) m) :
bind₁ (fun b => rename (fun i => (b, i)) (expand p (W_ ℤ n))) Φ =
bind₁ (fun i => expand p (wittStructureInt p Φ i)) (W_ ℤ n) := by
apply MvPolynomial.map_injective (Int.castRingHom ℚ) Int.cast_injective
simp only [map_bind₁, map_rename, map_expand, rename_expand, map_wittPolynomial]
have key := (wittStructureRat_prop p (map (Int.castRingHom ℚ) Φ) n).symm
apply_fun expand p at key
simp only [expand_bind₁] at key
rw [key]; clear key
apply eval₂Hom_congr' rfl _ rfl
rintro i hi -
rw [wittPolynomial_vars, Finset.mem_range] at hi
simp only [IH i hi]
theorem C_p_pow_dvd_bind₁_rename_wittPolynomial_sub_sum (Φ : MvPolynomial idx ℤ) (n : ℕ)
(IH :
∀ m : ℕ,
m < n →
map (Int.castRingHom ℚ) (wittStructureInt p Φ m) =
wittStructureRat p (map (Int.castRingHom ℚ) Φ) m) :
(C ((p ^ n :) : ℤ) : MvPolynomial (idx × ℕ) ℤ) ∣
bind₁ (fun b : idx => rename (fun i => (b, i)) (wittPolynomial p ℤ n)) Φ -
∑ i ∈ range n, C ((p : ℤ) ^ i) * wittStructureInt p Φ i ^ p ^ (n - i) := by
rcases n with - | n
· simp only [isUnit_one, Int.ofNat_zero, Int.natCast_succ, zero_add, pow_zero, C_1, IsUnit.dvd,
Nat.cast_one]
-- prepare a useful equation for rewriting
have key := bind₁_rename_expand_wittPolynomial Φ n IH
apply_fun map (Int.castRingHom (ZMod (p ^ (n + 1)))) at key
conv_lhs at key => simp only [map_bind₁, map_rename, map_expand, map_wittPolynomial]
-- clean up and massage
rw [C_dvd_iff_zmod, RingHom.map_sub, sub_eq_zero, map_bind₁]
simp only [map_rename, map_wittPolynomial, wittPolynomial_zmod_self]
rw [key]; clear key IH
rw [bind₁, aeval_wittPolynomial, map_sum, map_sum, Finset.sum_congr rfl]
intro k hk
rw [Finset.mem_range, Nat.lt_succ_iff] at hk
-- Porting note (https://github.com/leanprover-community/mathlib4/issues/11083): was much slower
-- simp only [← sub_eq_zero, ← RingHom.map_sub, ← C_dvd_iff_zmod, C_eq_coe_nat, ← mul_sub, ←
-- Nat.cast_pow]
rw [← sub_eq_zero, ← RingHom.map_sub, ← C_dvd_iff_zmod, C_eq_coe_nat, ← Nat.cast_pow,
← Nat.cast_pow, C_eq_coe_nat, ← mul_sub]
have : p ^ (n + 1) = p ^ k * p ^ (n - k + 1) := by
rw [← pow_add, ← add_assoc]; congr 2; rw [add_comm, ← tsub_eq_iff_eq_add_of_le hk]
rw [this]
rw [Nat.cast_mul, Nat.cast_pow, Nat.cast_pow]
apply mul_dvd_mul_left ((p : MvPolynomial (idx × ℕ) ℤ) ^ k)
rw [show p ^ (n + 1 - k) = p * p ^ (n - k) by rw [← pow_succ', ← tsub_add_eq_add_tsub hk]]
rw [pow_mul]
-- the machine!
apply dvd_sub_pow_of_dvd_sub
rw [← C_eq_coe_nat, C_dvd_iff_zmod, RingHom.map_sub, sub_eq_zero, map_expand, RingHom.map_pow,
MvPolynomial.expand_zmod]
variable (p)
@[simp]
theorem map_wittStructureInt (Φ : MvPolynomial idx ℤ) (n : ℕ) :
map (Int.castRingHom ℚ) (wittStructureInt p Φ n) =
wittStructureRat p (map (Int.castRingHom ℚ) Φ) n := by
induction n using Nat.strong_induction_on with | h n IH => ?_
rw [wittStructureInt, map_mapRange_eq_iff, Int.coe_castRingHom]
intro c
rw [wittStructureRat_rec, coeff_C_mul, mul_comm, mul_div_assoc', mul_one]
have sum_induction_steps :
map (Int.castRingHom ℚ)
(∑ i ∈ range n, C ((p : ℤ) ^ i) * wittStructureInt p Φ i ^ p ^ (n - i)) =
∑ i ∈ range n,
C ((p : ℚ) ^ i) * wittStructureRat p (map (Int.castRingHom ℚ) Φ) i ^ p ^ (n - i) := by
rw [map_sum]
apply Finset.sum_congr rfl
intro i hi
rw [Finset.mem_range] at hi
simp only [IH i hi, RingHom.map_mul, RingHom.map_pow, map_C]
rfl
simp only [← sum_induction_steps, ← map_wittPolynomial p (Int.castRingHom ℚ), ← map_rename, ←
map_bind₁, ← RingHom.map_sub, coeff_map]
rw [show (p : ℚ) ^ n = ((↑(p ^ n) : ℤ) : ℚ) by norm_cast]
rw [← Rat.den_eq_one_iff, eq_intCast, Rat.den_div_intCast_eq_one_iff]
swap; · exact mod_cast pow_ne_zero n hp.1.ne_zero
revert c; rw [← C_dvd_iff_dvd_coeff]
exact C_p_pow_dvd_bind₁_rename_wittPolynomial_sub_sum Φ n IH
theorem wittStructureInt_prop (Φ : MvPolynomial idx ℤ) (n) :
bind₁ (wittStructureInt p Φ) (wittPolynomial p ℤ n) =
bind₁ (fun i => rename (Prod.mk i) (W_ ℤ n)) Φ := by
apply MvPolynomial.map_injective (Int.castRingHom ℚ) Int.cast_injective
have := wittStructureRat_prop p (map (Int.castRingHom ℚ) Φ) n
simpa only [map_bind₁, ← eval₂Hom_map_hom, eval₂Hom_C_left, map_rename, map_wittPolynomial,
AlgHom.coe_toRingHom, map_wittStructureInt]
theorem eq_wittStructureInt (Φ : MvPolynomial idx ℤ) (φ : ℕ → MvPolynomial (idx × ℕ) ℤ)
(h : ∀ n, bind₁ φ (wittPolynomial p ℤ n) = bind₁ (fun i => rename (Prod.mk i) (W_ ℤ n)) Φ) :
φ = wittStructureInt p Φ := by
funext k
apply MvPolynomial.map_injective (Int.castRingHom ℚ) Int.cast_injective
rw [map_wittStructureInt]
-- Porting note: was `refine' congr_fun _ k`
revert k
refine congr_fun ?_
apply ExistsUnique.unique (wittStructureRat_existsUnique p (map (Int.castRingHom ℚ) Φ))
· intro n
specialize h n
apply_fun map (Int.castRingHom ℚ) at h
simpa only [map_bind₁, ← eval₂Hom_map_hom, eval₂Hom_C_left, map_rename, map_wittPolynomial,
AlgHom.coe_toRingHom] using h
· intro n; apply wittStructureRat_prop
theorem wittStructureInt_existsUnique (Φ : MvPolynomial idx ℤ) :
∃! φ : ℕ → MvPolynomial (idx × ℕ) ℤ,
∀ n : ℕ,
bind₁ φ (wittPolynomial p ℤ n) = bind₁ (fun i : idx => rename (Prod.mk i) (W_ ℤ n)) Φ :=
⟨wittStructureInt p Φ, wittStructureInt_prop _ _, eq_wittStructureInt _ _⟩
theorem witt_structure_prop (Φ : MvPolynomial idx ℤ) (n) :
aeval (fun i => map (Int.castRingHom R) (wittStructureInt p Φ i)) (wittPolynomial p ℤ n) =
aeval (fun i => rename (Prod.mk i) (W n)) Φ := by
convert congr_arg (map (Int.castRingHom R)) (wittStructureInt_prop p Φ n) using 1 <;>
rw [hom_bind₁] <;>
apply eval₂Hom_congr (RingHom.ext_int _ _) _ rfl
· rfl
· simp only [map_rename, map_wittPolynomial]
theorem wittStructureInt_rename {σ : Type*} (Φ : MvPolynomial idx ℤ) (f : idx → σ) (n : ℕ) :
wittStructureInt p (rename f Φ) n = rename (Prod.map f id) (wittStructureInt p Φ n) := by
apply MvPolynomial.map_injective (Int.castRingHom ℚ) Int.cast_injective
simp only [map_rename, map_wittStructureInt, wittStructureRat, rename_bind₁, rename_rename,
bind₁_rename]
rfl
@[simp]
theorem constantCoeff_wittStructureRat_zero (Φ : MvPolynomial idx ℚ) :
constantCoeff (wittStructureRat p Φ 0) = constantCoeff Φ := by
simp only [wittStructureRat, bind₁, map_aeval, xInTermsOfW_zero, constantCoeff_rename,
constantCoeff_wittPolynomial, aeval_X, constantCoeff_comp_algebraMap, eval₂Hom_zero'_apply,
RingHom.id_apply]
theorem constantCoeff_wittStructureRat (Φ : MvPolynomial idx ℚ) (h : constantCoeff Φ = 0) (n : ℕ) :
constantCoeff (wittStructureRat p Φ n) = 0 := by
simp only [wittStructureRat, eval₂Hom_zero'_apply, h, bind₁, map_aeval, constantCoeff_rename,
constantCoeff_wittPolynomial, constantCoeff_comp_algebraMap, RingHom.id_apply,
constantCoeff_xInTermsOfW]
@[simp]
theorem constantCoeff_wittStructureInt_zero (Φ : MvPolynomial idx ℤ) :
constantCoeff (wittStructureInt p Φ 0) = constantCoeff Φ := by
have inj : Function.Injective (Int.castRingHom ℚ) := by intro m n; exact Int.cast_inj.mp
apply inj
rw [← constantCoeff_map, map_wittStructureInt, constantCoeff_wittStructureRat_zero,
constantCoeff_map]
theorem constantCoeff_wittStructureInt (Φ : MvPolynomial idx ℤ) (h : constantCoeff Φ = 0) (n : ℕ) :
constantCoeff (wittStructureInt p Φ n) = 0 := by
have inj : Function.Injective (Int.castRingHom ℚ) := by intro m n; exact Int.cast_inj.mp
apply inj
rw [← constantCoeff_map, map_wittStructureInt, constantCoeff_wittStructureRat, RingHom.map_zero]
rw [constantCoeff_map, h, RingHom.map_zero]
variable (R)
-- we could relax the fintype on `idx`, but then we need to cast from finset to set.
-- for our applications `idx` is always finite.
theorem wittStructureRat_vars [Fintype idx] (Φ : MvPolynomial idx ℚ) (n : ℕ) :
(wittStructureRat p Φ n).vars ⊆ Finset.univ ×ˢ Finset.range (n + 1) := by
rw [wittStructureRat]
intro x hx
simp only [Finset.mem_product, true_and, Finset.mem_univ, Finset.mem_range]
obtain ⟨k, hk, hx'⟩ := mem_vars_bind₁ _ _ hx
obtain ⟨i, -, hx''⟩ := mem_vars_bind₁ _ _ hx'
obtain ⟨j, hj, rfl⟩ := mem_vars_rename _ _ hx''
rw [wittPolynomial_vars, Finset.mem_range] at hj
replace hk := xInTermsOfW_vars_subset p _ hk
rw [Finset.mem_range] at hk
exact lt_of_lt_of_le hj hk
-- we could relax the fintype on `idx`, but then we need to cast from finset to set.
-- for our applications `idx` is always finite.
theorem wittStructureInt_vars [Fintype idx] (Φ : MvPolynomial idx ℤ) (n : ℕ) :
(wittStructureInt p Φ n).vars ⊆ Finset.univ ×ˢ Finset.range (n + 1) := by
have : Function.Injective (Int.castRingHom ℚ) := Int.cast_injective
rw [← vars_map_of_injective _ this, map_wittStructureInt]
apply wittStructureRat_vars
| end PPrime
| Mathlib/RingTheory/WittVector/StructurePolynomial.lean | 390 | 401 |
/-
Copyright (c) 2018 Kim Morrison. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Reid Barton, Mario Carneiro, Kim Morrison, Floris van Doorn
-/
import Mathlib.CategoryTheory.Limits.IsLimit
import Mathlib.CategoryTheory.Category.ULift
import Mathlib.CategoryTheory.EssentiallySmall
import Mathlib.CategoryTheory.Functor.EpiMono
import Mathlib.Logic.Equiv.Basic
/-!
# Existence of limits and colimits
In `CategoryTheory.Limits.IsLimit` we defined `IsLimit c`,
the data showing that a cone `c` is a limit cone.
The two main structures defined in this file are:
* `LimitCone F`, which consists of a choice of cone for `F` and the fact it is a limit cone, and
* `HasLimit F`, asserting the mere existence of some limit cone for `F`.
`HasLimit` is a propositional typeclass
(it's important that it is a proposition merely asserting the existence of a limit,
as otherwise we would have non-defeq problems from incompatible instances).
While `HasLimit` only asserts the existence of a limit cone,
we happily use the axiom of choice in mathlib,
so there are convenience functions all depending on `HasLimit F`:
* `limit F : C`, producing some limit object (of course all such are isomorphic)
* `limit.π F j : limit F ⟶ F.obj j`, the morphisms out of the limit,
* `limit.lift F c : c.pt ⟶ limit F`, the universal morphism from any other `c : Cone F`, etc.
Key to using the `HasLimit` interface is that there is an `@[ext]` lemma stating that
to check `f = g`, for `f g : Z ⟶ limit F`, it suffices to check `f ≫ limit.π F j = g ≫ limit.π F j`
for every `j`.
This, combined with `@[simp]` lemmas, makes it possible to prove many easy facts about limits using
automation (e.g. `tidy`).
There are abbreviations `HasLimitsOfShape J C` and `HasLimits C`
asserting the existence of classes of limits.
Later more are introduced, for finite limits, special shapes of limits, etc.
Ideally, many results about limits should be stated first in terms of `IsLimit`,
and then a result in terms of `HasLimit` derived from this.
At this point, however, this is far from uniformly achieved in mathlib ---
often statements are only written in terms of `HasLimit`.
## Implementation
At present we simply say everything twice, in order to handle both limits and colimits.
It would be highly desirable to have some automation support,
e.g. a `@[dualize]` attribute that behaves similarly to `@[to_additive]`.
## References
* [Stacks: Limits and colimits](https://stacks.math.columbia.edu/tag/002D)
-/
noncomputable section
open CategoryTheory CategoryTheory.Category CategoryTheory.Functor Opposite
namespace CategoryTheory.Limits
-- morphism levels before object levels. See note [CategoryTheory universes].
universe v₁ u₁ v₂ u₂ v₃ u₃ v v' v'' u u' u''
variable {J : Type u₁} [Category.{v₁} J] {K : Type u₂} [Category.{v₂} K]
variable {C : Type u} [Category.{v} C]
variable {F : J ⥤ C}
section Limit
/-- `LimitCone F` contains a cone over `F` together with the information that it is a limit. -/
structure LimitCone (F : J ⥤ C) where
/-- The cone itself -/
cone : Cone F
/-- The proof that is the limit cone -/
isLimit : IsLimit cone
/-- `HasLimit F` represents the mere existence of a limit for `F`. -/
class HasLimit (F : J ⥤ C) : Prop where mk' ::
/-- There is some limit cone for `F` -/
exists_limit : Nonempty (LimitCone F)
theorem HasLimit.mk {F : J ⥤ C} (d : LimitCone F) : HasLimit F :=
⟨Nonempty.intro d⟩
/-- Use the axiom of choice to extract explicit `LimitCone F` from `HasLimit F`. -/
def getLimitCone (F : J ⥤ C) [HasLimit F] : LimitCone F :=
Classical.choice <| HasLimit.exists_limit
variable (J C)
/-- `C` has limits of shape `J` if there exists a limit for every functor `F : J ⥤ C`. -/
class HasLimitsOfShape : Prop where
/-- All functors `F : J ⥤ C` from `J` have limits -/
has_limit : ∀ F : J ⥤ C, HasLimit F := by infer_instance
/-- `C` has all limits of size `v₁ u₁` (`HasLimitsOfSize.{v₁ u₁} C`)
if it has limits of every shape `J : Type u₁` with `[Category.{v₁} J]`.
-/
@[pp_with_univ]
class HasLimitsOfSize (C : Type u) [Category.{v} C] : Prop where
/-- All functors `F : J ⥤ C` from all small `J` have limits -/
has_limits_of_shape : ∀ (J : Type u₁) [Category.{v₁} J], HasLimitsOfShape J C := by
infer_instance
/-- `C` has all (small) limits if it has limits of every shape that is as big as its hom-sets. -/
abbrev HasLimits (C : Type u) [Category.{v} C] : Prop :=
HasLimitsOfSize.{v, v} C
theorem HasLimits.has_limits_of_shape {C : Type u} [Category.{v} C] [HasLimits C] (J : Type v)
[Category.{v} J] : HasLimitsOfShape J C :=
HasLimitsOfSize.has_limits_of_shape J
variable {J C}
-- see Note [lower instance priority]
instance (priority := 100) hasLimitOfHasLimitsOfShape {J : Type u₁} [Category.{v₁} J]
[HasLimitsOfShape J C] (F : J ⥤ C) : HasLimit F :=
HasLimitsOfShape.has_limit F
-- see Note [lower instance priority]
instance (priority := 100) hasLimitsOfShapeOfHasLimits {J : Type u₁} [Category.{v₁} J]
[HasLimitsOfSize.{v₁, u₁} C] : HasLimitsOfShape J C :=
HasLimitsOfSize.has_limits_of_shape J
-- Interface to the `HasLimit` class.
/-- An arbitrary choice of limit cone for a functor. -/
def limit.cone (F : J ⥤ C) [HasLimit F] : Cone F :=
(getLimitCone F).cone
/-- An arbitrary choice of limit object of a functor. -/
def limit (F : J ⥤ C) [HasLimit F] :=
(limit.cone F).pt
/-- The projection from the limit object to a value of the functor. -/
def limit.π (F : J ⥤ C) [HasLimit F] (j : J) : limit F ⟶ F.obj j :=
(limit.cone F).π.app j
@[reassoc]
theorem limit.π_comp_eqToHom (F : J ⥤ C) [HasLimit F] {j j' : J} (hj : j = j') :
limit.π F j ≫ eqToHom (by subst hj; rfl) = limit.π F j' := by
subst hj
simp
@[simp]
theorem limit.cone_x {F : J ⥤ C} [HasLimit F] : (limit.cone F).pt = limit F :=
rfl
@[simp]
theorem limit.cone_π {F : J ⥤ C} [HasLimit F] : (limit.cone F).π.app = limit.π _ :=
rfl
@[reassoc (attr := simp)]
theorem limit.w (F : J ⥤ C) [HasLimit F] {j j' : J} (f : j ⟶ j') :
limit.π F j ≫ F.map f = limit.π F j' :=
(limit.cone F).w f
/-- Evidence that the arbitrary choice of cone provided by `limit.cone F` is a limit cone. -/
def limit.isLimit (F : J ⥤ C) [HasLimit F] : IsLimit (limit.cone F) :=
(getLimitCone F).isLimit
/-- The morphism from the cone point of any other cone to the limit object. -/
def limit.lift (F : J ⥤ C) [HasLimit F] (c : Cone F) : c.pt ⟶ limit F :=
(limit.isLimit F).lift c
@[simp]
theorem limit.isLimit_lift {F : J ⥤ C} [HasLimit F] (c : Cone F) :
(limit.isLimit F).lift c = limit.lift F c :=
rfl
@[reassoc (attr := simp)]
theorem limit.lift_π {F : J ⥤ C} [HasLimit F] (c : Cone F) (j : J) :
limit.lift F c ≫ limit.π F j = c.π.app j :=
IsLimit.fac _ c j
/-- Functoriality of limits.
Usually this morphism should be accessed through `lim.map`,
but may be needed separately when you have specified limits for the source and target functors,
but not necessarily for all functors of shape `J`.
-/
def limMap {F G : J ⥤ C} [HasLimit F] [HasLimit G] (α : F ⟶ G) : limit F ⟶ limit G :=
IsLimit.map _ (limit.isLimit G) α
@[reassoc (attr := simp)]
theorem limMap_π {F G : J ⥤ C} [HasLimit F] [HasLimit G] (α : F ⟶ G) (j : J) :
limMap α ≫ limit.π G j = limit.π F j ≫ α.app j :=
limit.lift_π _ j
/-- The cone morphism from any cone to the arbitrary choice of limit cone. -/
def limit.coneMorphism {F : J ⥤ C} [HasLimit F] (c : Cone F) : c ⟶ limit.cone F :=
(limit.isLimit F).liftConeMorphism c
@[simp]
theorem limit.coneMorphism_hom {F : J ⥤ C} [HasLimit F] (c : Cone F) :
(limit.coneMorphism c).hom = limit.lift F c :=
rfl
theorem limit.coneMorphism_π {F : J ⥤ C} [HasLimit F] (c : Cone F) (j : J) :
(limit.coneMorphism c).hom ≫ limit.π F j = c.π.app j := by simp
@[reassoc (attr := simp)]
theorem limit.conePointUniqueUpToIso_hom_comp {F : J ⥤ C} [HasLimit F] {c : Cone F} (hc : IsLimit c)
(j : J) : (IsLimit.conePointUniqueUpToIso hc (limit.isLimit _)).hom ≫ limit.π F j = c.π.app j :=
IsLimit.conePointUniqueUpToIso_hom_comp _ _ _
@[reassoc (attr := simp)]
theorem limit.conePointUniqueUpToIso_inv_comp {F : J ⥤ C} [HasLimit F] {c : Cone F} (hc : IsLimit c)
(j : J) : (IsLimit.conePointUniqueUpToIso (limit.isLimit _) hc).inv ≫ limit.π F j = c.π.app j :=
IsLimit.conePointUniqueUpToIso_inv_comp _ _ _
theorem limit.existsUnique {F : J ⥤ C} [HasLimit F] (t : Cone F) :
∃! l : t.pt ⟶ limit F, ∀ j, l ≫ limit.π F j = t.π.app j :=
(limit.isLimit F).existsUnique _
/-- Given any other limit cone for `F`, the chosen `limit F` is isomorphic to the cone point.
-/
def limit.isoLimitCone {F : J ⥤ C} [HasLimit F] (t : LimitCone F) : limit F ≅ t.cone.pt :=
IsLimit.conePointUniqueUpToIso (limit.isLimit F) t.isLimit
@[reassoc (attr := simp)]
theorem limit.isoLimitCone_hom_π {F : J ⥤ C} [HasLimit F] (t : LimitCone F) (j : J) :
(limit.isoLimitCone t).hom ≫ t.cone.π.app j = limit.π F j := by
dsimp [limit.isoLimitCone, IsLimit.conePointUniqueUpToIso]
simp
@[reassoc (attr := simp)]
theorem limit.isoLimitCone_inv_π {F : J ⥤ C} [HasLimit F] (t : LimitCone F) (j : J) :
(limit.isoLimitCone t).inv ≫ limit.π F j = t.cone.π.app j := by
dsimp [limit.isoLimitCone, IsLimit.conePointUniqueUpToIso]
simp
@[ext]
theorem limit.hom_ext {F : J ⥤ C} [HasLimit F] {X : C} {f f' : X ⟶ limit F}
(w : ∀ j, f ≫ limit.π F j = f' ≫ limit.π F j) : f = f' :=
(limit.isLimit F).hom_ext w
@[reassoc (attr := simp)]
theorem limit.lift_map {F G : J ⥤ C} [HasLimit F] [HasLimit G] (c : Cone F) (α : F ⟶ G) :
limit.lift F c ≫ limMap α = limit.lift G ((Cones.postcompose α).obj c) := by
ext
rw [assoc, limMap_π, limit.lift_π_assoc, limit.lift_π]
rfl
@[simp]
theorem limit.lift_cone {F : J ⥤ C} [HasLimit F] : limit.lift F (limit.cone F) = 𝟙 (limit F) :=
(limit.isLimit _).lift_self
/-- The isomorphism (in `Type`) between
morphisms from a specified object `W` to the limit object,
and cones with cone point `W`.
-/
def limit.homIso (F : J ⥤ C) [HasLimit F] (W : C) :
ULift.{u₁} (W ⟶ limit F : Type v) ≅ F.cones.obj (op W) :=
(limit.isLimit F).homIso W
@[simp]
theorem limit.homIso_hom (F : J ⥤ C) [HasLimit F] {W : C} (f : ULift (W ⟶ limit F)) :
(limit.homIso F W).hom f = (const J).map f.down ≫ (limit.cone F).π :=
(limit.isLimit F).homIso_hom f
/-- The isomorphism (in `Type`) between
morphisms from a specified object `W` to the limit object,
and an explicit componentwise description of cones with cone point `W`.
-/
def limit.homIso' (F : J ⥤ C) [HasLimit F] (W : C) :
ULift.{u₁} (W ⟶ limit F : Type v) ≅
{ p : ∀ j, W ⟶ F.obj j // ∀ {j j' : J} (f : j ⟶ j'), p j ≫ F.map f = p j' } :=
(limit.isLimit F).homIso' W
theorem limit.lift_extend {F : J ⥤ C} [HasLimit F] (c : Cone F) {X : C} (f : X ⟶ c.pt) :
limit.lift F (c.extend f) = f ≫ limit.lift F c := by aesop_cat
/-- If a functor `F` has a limit, so does any naturally isomorphic functor.
-/
theorem hasLimit_of_iso {F G : J ⥤ C} [HasLimit F] (α : F ≅ G) : HasLimit G :=
HasLimit.mk
{ cone := (Cones.postcompose α.hom).obj (limit.cone F)
isLimit := (IsLimit.postcomposeHomEquiv _ _).symm (limit.isLimit F) }
@[deprecated (since := "2025-03-03")] alias hasLimitOfIso := hasLimit_of_iso
theorem hasLimit_iff_of_iso {F G : J ⥤ C} (α : F ≅ G) : HasLimit F ↔ HasLimit G :=
⟨fun _ ↦ hasLimit_of_iso α, fun _ ↦ hasLimit_of_iso α.symm⟩
-- See the construction of limits from products and equalizers
-- for an example usage.
/-- If a functor `G` has the same collection of cones as a functor `F`
which has a limit, then `G` also has a limit. -/
theorem HasLimit.ofConesIso {J K : Type u₁} [Category.{v₁} J] [Category.{v₂} K] (F : J ⥤ C)
(G : K ⥤ C) (h : F.cones ≅ G.cones) [HasLimit F] : HasLimit G :=
HasLimit.mk ⟨_, IsLimit.ofNatIso (IsLimit.natIso (limit.isLimit F) ≪≫ h)⟩
/-- The limits of `F : J ⥤ C` and `G : J ⥤ C` are isomorphic,
if the functors are naturally isomorphic.
-/
def HasLimit.isoOfNatIso {F G : J ⥤ C} [HasLimit F] [HasLimit G] (w : F ≅ G) : limit F ≅ limit G :=
IsLimit.conePointsIsoOfNatIso (limit.isLimit F) (limit.isLimit G) w
@[reassoc (attr := simp)]
theorem HasLimit.isoOfNatIso_hom_π {F G : J ⥤ C} [HasLimit F] [HasLimit G] (w : F ≅ G) (j : J) :
(HasLimit.isoOfNatIso w).hom ≫ limit.π G j = limit.π F j ≫ w.hom.app j :=
IsLimit.conePointsIsoOfNatIso_hom_comp _ _ _ _
@[reassoc (attr := simp)]
theorem HasLimit.isoOfNatIso_inv_π {F G : J ⥤ C} [HasLimit F] [HasLimit G] (w : F ≅ G) (j : J) :
(HasLimit.isoOfNatIso w).inv ≫ limit.π F j = limit.π G j ≫ w.inv.app j :=
IsLimit.conePointsIsoOfNatIso_inv_comp _ _ _ _
@[reassoc (attr := simp)]
theorem HasLimit.lift_isoOfNatIso_hom {F G : J ⥤ C} [HasLimit F] [HasLimit G] (t : Cone F)
(w : F ≅ G) :
limit.lift F t ≫ (HasLimit.isoOfNatIso w).hom =
limit.lift G ((Cones.postcompose w.hom).obj _) :=
IsLimit.lift_comp_conePointsIsoOfNatIso_hom _ _ _
@[reassoc (attr := simp)]
theorem HasLimit.lift_isoOfNatIso_inv {F G : J ⥤ C} [HasLimit F] [HasLimit G] (t : Cone G)
(w : F ≅ G) :
limit.lift G t ≫ (HasLimit.isoOfNatIso w).inv =
limit.lift F ((Cones.postcompose w.inv).obj _) :=
IsLimit.lift_comp_conePointsIsoOfNatIso_inv _ _ _
/-- The limits of `F : J ⥤ C` and `G : K ⥤ C` are isomorphic,
if there is an equivalence `e : J ≌ K` making the triangle commute up to natural isomorphism.
-/
def HasLimit.isoOfEquivalence {F : J ⥤ C} [HasLimit F] {G : K ⥤ C} [HasLimit G] (e : J ≌ K)
(w : e.functor ⋙ G ≅ F) : limit F ≅ limit G :=
IsLimit.conePointsIsoOfEquivalence (limit.isLimit F) (limit.isLimit G) e w
@[simp]
theorem HasLimit.isoOfEquivalence_hom_π {F : J ⥤ C} [HasLimit F] {G : K ⥤ C} [HasLimit G]
(e : J ≌ K) (w : e.functor ⋙ G ≅ F) (k : K) :
(HasLimit.isoOfEquivalence e w).hom ≫ limit.π G k =
limit.π F (e.inverse.obj k) ≫ w.inv.app (e.inverse.obj k) ≫ G.map (e.counit.app k) := by
simp only [HasLimit.isoOfEquivalence, IsLimit.conePointsIsoOfEquivalence_hom]
dsimp
simp
@[simp]
theorem HasLimit.isoOfEquivalence_inv_π {F : J ⥤ C} [HasLimit F] {G : K ⥤ C} [HasLimit G]
(e : J ≌ K) (w : e.functor ⋙ G ≅ F) (j : J) :
(HasLimit.isoOfEquivalence e w).inv ≫ limit.π F j =
limit.π G (e.functor.obj j) ≫ w.hom.app j := by
simp only [HasLimit.isoOfEquivalence, IsLimit.conePointsIsoOfEquivalence_hom]
dsimp
simp
section Pre
variable (F)
variable [HasLimit F] (E : K ⥤ J) [HasLimit (E ⋙ F)]
/-- The canonical morphism from the limit of `F` to the limit of `E ⋙ F`.
-/
def limit.pre : limit F ⟶ limit (E ⋙ F) :=
limit.lift (E ⋙ F) ((limit.cone F).whisker E)
@[reassoc (attr := simp)]
theorem limit.pre_π (k : K) : limit.pre F E ≫ limit.π (E ⋙ F) k = limit.π F (E.obj k) := by
erw [IsLimit.fac]
rfl
@[simp]
theorem limit.lift_pre (c : Cone F) :
limit.lift F c ≫ limit.pre F E = limit.lift (E ⋙ F) (c.whisker E) := by ext; simp
variable {L : Type u₃} [Category.{v₃} L]
variable (D : L ⥤ K)
@[simp]
theorem limit.pre_pre [h : HasLimit (D ⋙ E ⋙ F)] : haveI : HasLimit ((D ⋙ E) ⋙ F) := h
limit.pre F E ≫ limit.pre (E ⋙ F) D = limit.pre F (D ⋙ E) := by
haveI : HasLimit ((D ⋙ E) ⋙ F) := h
ext j; erw [assoc, limit.pre_π, limit.pre_π, limit.pre_π]; rfl
variable {E F}
/-- -
If we have particular limit cones available for `E ⋙ F` and for `F`,
we obtain a formula for `limit.pre F E`.
-/
theorem limit.pre_eq (s : LimitCone (E ⋙ F)) (t : LimitCone F) :
limit.pre F E = (limit.isoLimitCone t).hom ≫ s.isLimit.lift (t.cone.whisker E) ≫
(limit.isoLimitCone s).inv := by aesop_cat
end Pre
section Post
variable {D : Type u'} [Category.{v'} D]
variable (F : J ⥤ C) [HasLimit F] (G : C ⥤ D) [HasLimit (F ⋙ G)]
/-- The canonical morphism from `G` applied to the limit of `F` to the limit of `F ⋙ G`.
-/
def limit.post : G.obj (limit F) ⟶ limit (F ⋙ G) :=
limit.lift (F ⋙ G) (G.mapCone (limit.cone F))
@[reassoc (attr := simp)]
theorem limit.post_π (j : J) : limit.post F G ≫ limit.π (F ⋙ G) j = G.map (limit.π F j) := by
erw [IsLimit.fac]
rfl
@[simp]
theorem limit.lift_post (c : Cone F) :
G.map (limit.lift F c) ≫ limit.post F G = limit.lift (F ⋙ G) (G.mapCone c) := by
ext
rw [assoc, limit.post_π, ← G.map_comp, limit.lift_π, limit.lift_π]
rfl
@[simp]
theorem limit.post_post {E : Type u''} [Category.{v''} E] (H : D ⥤ E) [h : HasLimit ((F ⋙ G) ⋙ H)] :
-- H G (limit F) ⟶ H (limit (F ⋙ G)) ⟶ limit ((F ⋙ G) ⋙ H) equals
-- H G (limit F) ⟶ limit (F ⋙ (G ⋙ H))
haveI : HasLimit (F ⋙ G ⋙ H) := h
H.map (limit.post F G) ≫ limit.post (F ⋙ G) H = limit.post F (G ⋙ H) := by
haveI : HasLimit (F ⋙ G ⋙ H) := h
ext; erw [assoc, limit.post_π, ← H.map_comp, limit.post_π, limit.post_π]; rfl
end Post
theorem limit.pre_post {D : Type u'} [Category.{v'} D] (E : K ⥤ J) (F : J ⥤ C) (G : C ⥤ D)
[HasLimit F] [HasLimit (E ⋙ F)] [HasLimit (F ⋙ G)]
[h : HasLimit ((E ⋙ F) ⋙ G)] :-- G (limit F) ⟶ G (limit (E ⋙ F)) ⟶ limit ((E ⋙ F) ⋙ G) vs
-- G (limit F) ⟶ limit F ⋙ G ⟶ limit (E ⋙ (F ⋙ G)) or
haveI : HasLimit (E ⋙ F ⋙ G) := h
G.map (limit.pre F E) ≫ limit.post (E ⋙ F) G = limit.post F G ≫ limit.pre (F ⋙ G) E := by
haveI : HasLimit (E ⋙ F ⋙ G) := h
ext; erw [assoc, limit.post_π, ← G.map_comp, limit.pre_π, assoc, limit.pre_π, limit.post_π]
open CategoryTheory.Equivalence
instance hasLimitEquivalenceComp (e : K ≌ J) [HasLimit F] : HasLimit (e.functor ⋙ F) :=
HasLimit.mk
{ cone := Cone.whisker e.functor (limit.cone F)
isLimit := IsLimit.whiskerEquivalence (limit.isLimit F) e }
-- not entirely sure why this is needed
/-- If a `E ⋙ F` has a limit, and `E` is an equivalence, we can construct a limit of `F`.
-/
theorem hasLimitOfEquivalenceComp (e : K ≌ J) [HasLimit (e.functor ⋙ F)] : HasLimit F := by
haveI : HasLimit (e.inverse ⋙ e.functor ⋙ F) := Limits.hasLimitEquivalenceComp e.symm
apply hasLimit_of_iso (e.invFunIdAssoc F)
-- `hasLimitCompEquivalence` and `hasLimitOfCompEquivalence`
-- are proved in `CategoryTheory/Adjunction/Limits.lean`.
section LimFunctor
variable [HasLimitsOfShape J C]
section
/-- `limit F` is functorial in `F`, when `C` has all limits of shape `J`. -/
@[simps]
def lim : (J ⥤ C) ⥤ C where
obj F := limit F
map α := limMap α
map_id F := by
apply Limits.limit.hom_ext; intro j
simp
map_comp α β := by
apply Limits.limit.hom_ext; intro j
simp [assoc]
end
variable {G : J ⥤ C} (α : F ⟶ G)
theorem limMap_eq : limMap α = lim.map α := rfl
theorem limit.map_pre [HasLimitsOfShape K C] (E : K ⥤ J) :
lim.map α ≫ limit.pre G E = limit.pre F E ≫ lim.map (whiskerLeft E α) := by
ext
simp
theorem limit.map_pre' [HasLimitsOfShape K C] (F : J ⥤ C) {E₁ E₂ : K ⥤ J} (α : E₁ ⟶ E₂) :
limit.pre F E₂ = limit.pre F E₁ ≫ lim.map (whiskerRight α F) := by
ext1; simp [← category.assoc]
theorem limit.id_pre (F : J ⥤ C) : limit.pre F (𝟭 _) = lim.map (Functor.leftUnitor F).inv := by
aesop_cat
theorem limit.map_post {D : Type u'} [Category.{v'} D] [HasLimitsOfShape J D] (H : C ⥤ D) :
/- H (limit F) ⟶ H (limit G) ⟶ limit (G ⋙ H) vs
H (limit F) ⟶ limit (F ⋙ H) ⟶ limit (G ⋙ H) -/
H.map (limMap α) ≫ limit.post G H = limit.post F H ≫ limMap (whiskerRight α H) := by
ext
simp only [whiskerRight_app, limMap_π, assoc, limit.post_π_assoc, limit.post_π, ← H.map_comp]
/-- The isomorphism between
morphisms from `W` to the cone point of the limit cone for `F`
and cones over `F` with cone point `W`
is natural in `F`.
-/
def limYoneda :
lim ⋙ yoneda ⋙ (whiskeringRight _ _ _).obj uliftFunctor.{u₁} ≅ CategoryTheory.cones J C :=
NatIso.ofComponents fun F => NatIso.ofComponents fun W => limit.homIso F (unop W)
/-- The constant functor and limit functor are adjoint to each other -/
def constLimAdj : (const J : C ⥤ J ⥤ C) ⊣ lim := Adjunction.mk' {
homEquiv := fun c g ↦
{ toFun := fun f => limit.lift _ ⟨c, f⟩
invFun := fun f =>
{ app := fun _ => f ≫ limit.π _ _ }
left_inv := by aesop_cat
right_inv := by aesop_cat }
unit := { app := fun _ => limit.lift _ ⟨_, 𝟙 _⟩ }
counit := { app := fun g => { app := limit.π _ } } }
instance : IsRightAdjoint (lim : (J ⥤ C) ⥤ C) :=
⟨_, ⟨constLimAdj⟩⟩
end LimFunctor
instance limMap_mono' {F G : J ⥤ C} [HasLimitsOfShape J C] (α : F ⟶ G) [Mono α] : Mono (limMap α) :=
(lim : (J ⥤ C) ⥤ C).map_mono α
instance limMap_mono {F G : J ⥤ C} [HasLimit F] [HasLimit G] (α : F ⟶ G) [∀ j, Mono (α.app j)] :
Mono (limMap α) :=
⟨fun {Z} u v h =>
limit.hom_ext fun j => (cancel_mono (α.app j)).1 <| by simpa using h =≫ limit.π _ j⟩
section Adjunction
variable {L : (J ⥤ C) ⥤ C} (adj : Functor.const _ ⊣ L)
/- The fact that the existence of limits of shape `J` is equivalent to the existence
of a right adjoint to the constant functor `C ⥤ (J ⥤ C)` is obtained in
the file `Mathlib.CategoryTheory.Limits.ConeCategory`: see the lemma
`hasLimitsOfShape_iff_isLeftAdjoint_const`. In the definitions below, given an
adjunction `adj : Functor.const _ ⊣ (L : (J ⥤ C) ⥤ C)`, we directly construct
a limit cone for any `F : J ⥤ C`. -/
/-- The limit cone obtained from a right adjoint of the constant functor. -/
@[simps]
noncomputable def coneOfAdj (F : J ⥤ C) : Cone F where
pt := L.obj F
π := adj.counit.app F
/-- The cones defined by `coneOfAdj` are limit cones. -/
@[simps]
def isLimitConeOfAdj (F : J ⥤ C) :
IsLimit (coneOfAdj adj F) where
lift s := adj.homEquiv _ _ s.π
fac s j := by
have eq := NatTrans.congr_app (adj.counit.naturality s.π) j
have eq' := NatTrans.congr_app (adj.left_triangle_components s.pt) j
dsimp at eq eq' ⊢
rw [adj.homEquiv_unit, assoc, eq, reassoc_of% eq']
uniq s m hm := (adj.homEquiv _ _).symm.injective (by ext j; simpa using hm j)
end Adjunction
/-- We can transport limits of shape `J` along an equivalence `J ≌ J'`.
-/
theorem hasLimitsOfShape_of_equivalence {J' : Type u₂} [Category.{v₂} J'] (e : J ≌ J')
[HasLimitsOfShape J C] : HasLimitsOfShape J' C := by
constructor
intro F
apply hasLimitOfEquivalenceComp e
variable (C)
/-- A category that has larger limits also has smaller limits. -/
theorem hasLimitsOfSizeOfUnivLE [UnivLE.{v₂, v₁}] [UnivLE.{u₂, u₁}]
[HasLimitsOfSize.{v₁, u₁} C] : HasLimitsOfSize.{v₂, u₂} C where
has_limits_of_shape J {_} := hasLimitsOfShape_of_equivalence
((ShrinkHoms.equivalence J).trans <| Shrink.equivalence _).symm
/-- `hasLimitsOfSizeShrink.{v u} C` tries to obtain `HasLimitsOfSize.{v u} C`
from some other `HasLimitsOfSize C`.
-/
theorem hasLimitsOfSizeShrink [HasLimitsOfSize.{max v₁ v₂, max u₁ u₂} C] :
HasLimitsOfSize.{v₁, u₁} C := hasLimitsOfSizeOfUnivLE.{max v₁ v₂, max u₁ u₂} C
instance (priority := 100) hasSmallestLimitsOfHasLimits [HasLimits C] : HasLimitsOfSize.{0, 0} C :=
hasLimitsOfSizeShrink.{0, 0} C
end Limit
section Colimit
/-- `ColimitCocone F` contains a cocone over `F` together with the information that it is a
colimit. -/
structure ColimitCocone (F : J ⥤ C) where
/-- The cocone itself -/
cocone : Cocone F
/-- The proof that it is the colimit cocone -/
isColimit : IsColimit cocone
/-- `HasColimit F` represents the mere existence of a colimit for `F`. -/
class HasColimit (F : J ⥤ C) : Prop where mk' ::
/-- There exists a colimit for `F` -/
exists_colimit : Nonempty (ColimitCocone F)
theorem HasColimit.mk {F : J ⥤ C} (d : ColimitCocone F) : HasColimit F :=
⟨Nonempty.intro d⟩
/-- Use the axiom of choice to extract explicit `ColimitCocone F` from `HasColimit F`. -/
def getColimitCocone (F : J ⥤ C) [HasColimit F] : ColimitCocone F :=
Classical.choice <| HasColimit.exists_colimit
variable (J C)
/-- `C` has colimits of shape `J` if there exists a colimit for every functor `F : J ⥤ C`. -/
class HasColimitsOfShape : Prop where
/-- All `F : J ⥤ C` have colimits for a fixed `J` -/
has_colimit : ∀ F : J ⥤ C, HasColimit F := by infer_instance
/-- `C` has all colimits of size `v₁ u₁` (`HasColimitsOfSize.{v₁ u₁} C`)
if it has colimits of every shape `J : Type u₁` with `[Category.{v₁} J]`.
-/
@[pp_with_univ]
class HasColimitsOfSize (C : Type u) [Category.{v} C] : Prop where
/-- All `F : J ⥤ C` have colimits for all small `J` -/
has_colimits_of_shape : ∀ (J : Type u₁) [Category.{v₁} J], HasColimitsOfShape J C := by
infer_instance
/-- `C` has all (small) colimits if it has colimits of every shape that is as big as its hom-sets.
-/
abbrev HasColimits (C : Type u) [Category.{v} C] : Prop :=
HasColimitsOfSize.{v, v} C
theorem HasColimits.hasColimitsOfShape {C : Type u} [Category.{v} C] [HasColimits C] (J : Type v)
[Category.{v} J] : HasColimitsOfShape J C :=
HasColimitsOfSize.has_colimits_of_shape J
variable {J C}
-- see Note [lower instance priority]
instance (priority := 100) hasColimitOfHasColimitsOfShape {J : Type u₁} [Category.{v₁} J]
[HasColimitsOfShape J C] (F : J ⥤ C) : HasColimit F :=
HasColimitsOfShape.has_colimit F
-- see Note [lower instance priority]
instance (priority := 100) hasColimitsOfShapeOfHasColimitsOfSize {J : Type u₁} [Category.{v₁} J]
[HasColimitsOfSize.{v₁, u₁} C] : HasColimitsOfShape J C :=
HasColimitsOfSize.has_colimits_of_shape J
-- Interface to the `HasColimit` class.
/-- An arbitrary choice of colimit cocone of a functor. -/
def colimit.cocone (F : J ⥤ C) [HasColimit F] : Cocone F :=
(getColimitCocone F).cocone
/-- An arbitrary choice of colimit object of a functor. -/
def colimit (F : J ⥤ C) [HasColimit F] :=
(colimit.cocone F).pt
/-- The coprojection from a value of the functor to the colimit object. -/
def colimit.ι (F : J ⥤ C) [HasColimit F] (j : J) : F.obj j ⟶ colimit F :=
(colimit.cocone F).ι.app j
@[reassoc]
theorem colimit.eqToHom_comp_ι (F : J ⥤ C) [HasColimit F] {j j' : J} (hj : j = j') :
eqToHom (by subst hj; rfl) ≫ colimit.ι F j = colimit.ι F j' := by
subst hj
simp
@[simp]
theorem colimit.cocone_ι {F : J ⥤ C} [HasColimit F] (j : J) :
(colimit.cocone F).ι.app j = colimit.ι _ j :=
rfl
@[simp]
theorem colimit.cocone_x {F : J ⥤ C} [HasColimit F] : (colimit.cocone F).pt = colimit F :=
rfl
@[reassoc (attr := simp)]
theorem colimit.w (F : J ⥤ C) [HasColimit F] {j j' : J} (f : j ⟶ j') :
F.map f ≫ colimit.ι F j' = colimit.ι F j :=
(colimit.cocone F).w f
/-- Evidence that the arbitrary choice of cocone is a colimit cocone. -/
def colimit.isColimit (F : J ⥤ C) [HasColimit F] : IsColimit (colimit.cocone F) :=
(getColimitCocone F).isColimit
/-- The morphism from the colimit object to the cone point of any other cocone. -/
def colimit.desc (F : J ⥤ C) [HasColimit F] (c : Cocone F) : colimit F ⟶ c.pt :=
(colimit.isColimit F).desc c
@[simp]
theorem colimit.isColimit_desc {F : J ⥤ C} [HasColimit F] (c : Cocone F) :
(colimit.isColimit F).desc c = colimit.desc F c :=
rfl
/-- We have lots of lemmas describing how to simplify `colimit.ι F j ≫ _`,
and combined with `colimit.ext` we rely on these lemmas for many calculations.
However, since `Category.assoc` is a `@[simp]` lemma, often expressions are
right associated, and it's hard to apply these lemmas about `colimit.ι`.
We thus use `reassoc` to define additional `@[simp]` lemmas, with an arbitrary extra morphism.
(see `Tactic/reassoc_axiom.lean`)
-/
@[reassoc (attr := simp)]
theorem colimit.ι_desc {F : J ⥤ C} [HasColimit F] (c : Cocone F) (j : J) :
colimit.ι F j ≫ colimit.desc F c = c.ι.app j :=
IsColimit.fac _ c j
/-- Functoriality of colimits.
Usually this morphism should be accessed through `colim.map`,
but may be needed separately when you have specified colimits for the source and target functors,
but not necessarily for all functors of shape `J`.
-/
def colimMap {F G : J ⥤ C} [HasColimit F] [HasColimit G] (α : F ⟶ G) : colimit F ⟶ colimit G :=
IsColimit.map (colimit.isColimit F) _ α
@[reassoc (attr := simp)]
theorem ι_colimMap {F G : J ⥤ C} [HasColimit F] [HasColimit G] (α : F ⟶ G) (j : J) :
colimit.ι F j ≫ colimMap α = α.app j ≫ colimit.ι G j :=
colimit.ι_desc _ j
/-- The cocone morphism from the arbitrary choice of colimit cocone to any cocone. -/
def colimit.coconeMorphism {F : J ⥤ C} [HasColimit F] (c : Cocone F) : colimit.cocone F ⟶ c :=
(colimit.isColimit F).descCoconeMorphism c
@[simp]
theorem colimit.coconeMorphism_hom {F : J ⥤ C} [HasColimit F] (c : Cocone F) :
(colimit.coconeMorphism c).hom = colimit.desc F c :=
rfl
theorem colimit.ι_coconeMorphism {F : J ⥤ C} [HasColimit F] (c : Cocone F) (j : J) :
colimit.ι F j ≫ (colimit.coconeMorphism c).hom = c.ι.app j := by simp
@[reassoc (attr := simp)]
theorem colimit.comp_coconePointUniqueUpToIso_hom {F : J ⥤ C} [HasColimit F] {c : Cocone F}
(hc : IsColimit c) (j : J) :
colimit.ι F j ≫ (IsColimit.coconePointUniqueUpToIso (colimit.isColimit _) hc).hom = c.ι.app j :=
IsColimit.comp_coconePointUniqueUpToIso_hom _ _ _
@[reassoc (attr := simp)]
theorem colimit.comp_coconePointUniqueUpToIso_inv {F : J ⥤ C} [HasColimit F] {c : Cocone F}
(hc : IsColimit c) (j : J) :
colimit.ι F j ≫ (IsColimit.coconePointUniqueUpToIso hc (colimit.isColimit _)).inv = c.ι.app j :=
IsColimit.comp_coconePointUniqueUpToIso_inv _ _ _
theorem colimit.existsUnique {F : J ⥤ C} [HasColimit F] (t : Cocone F) :
∃! d : colimit F ⟶ t.pt, ∀ j, colimit.ι F j ≫ d = t.ι.app j :=
(colimit.isColimit F).existsUnique _
/--
Given any other colimit cocone for `F`, the chosen `colimit F` is isomorphic to the cocone point.
-/
def colimit.isoColimitCocone {F : J ⥤ C} [HasColimit F] (t : ColimitCocone F) :
colimit F ≅ t.cocone.pt :=
IsColimit.coconePointUniqueUpToIso (colimit.isColimit F) t.isColimit
@[reassoc (attr := simp)]
theorem colimit.isoColimitCocone_ι_hom {F : J ⥤ C} [HasColimit F] (t : ColimitCocone F) (j : J) :
colimit.ι F j ≫ (colimit.isoColimitCocone t).hom = t.cocone.ι.app j := by
dsimp [colimit.isoColimitCocone, IsColimit.coconePointUniqueUpToIso]
simp
@[reassoc (attr := simp)]
theorem colimit.isoColimitCocone_ι_inv {F : J ⥤ C} [HasColimit F] (t : ColimitCocone F) (j : J) :
t.cocone.ι.app j ≫ (colimit.isoColimitCocone t).inv = colimit.ι F j := by
dsimp [colimit.isoColimitCocone, IsColimit.coconePointUniqueUpToIso]
simp
@[ext]
theorem colimit.hom_ext {F : J ⥤ C} [HasColimit F] {X : C} {f f' : colimit F ⟶ X}
(w : ∀ j, colimit.ι F j ≫ f = colimit.ι F j ≫ f') : f = f' :=
(colimit.isColimit F).hom_ext w
@[simp]
theorem colimit.desc_cocone {F : J ⥤ C} [HasColimit F] :
colimit.desc F (colimit.cocone F) = 𝟙 (colimit F) :=
(colimit.isColimit _).desc_self
/-- The isomorphism (in `Type`) between
morphisms from the colimit object to a specified object `W`,
and cocones with cone point `W`.
-/
def colimit.homIso (F : J ⥤ C) [HasColimit F] (W : C) :
ULift.{u₁} (colimit F ⟶ W : Type v) ≅ F.cocones.obj W :=
(colimit.isColimit F).homIso W
@[simp]
theorem colimit.homIso_hom (F : J ⥤ C) [HasColimit F] {W : C} (f : ULift (colimit F ⟶ W)) :
(colimit.homIso F W).hom f = (colimit.cocone F).ι ≫ (const J).map f.down :=
(colimit.isColimit F).homIso_hom f
/-- The isomorphism (in `Type`) between
morphisms from the colimit object to a specified object `W`,
and an explicit componentwise description of cocones with cone point `W`.
-/
def colimit.homIso' (F : J ⥤ C) [HasColimit F] (W : C) :
ULift.{u₁} (colimit F ⟶ W : Type v) ≅
{ p : ∀ j, F.obj j ⟶ W // ∀ {j j'} (f : j ⟶ j'), F.map f ≫ p j' = p j } :=
(colimit.isColimit F).homIso' W
theorem colimit.desc_extend (F : J ⥤ C) [HasColimit F] (c : Cocone F) {X : C} (f : c.pt ⟶ X) :
colimit.desc F (c.extend f) = colimit.desc F c ≫ f := by ext1; rw [← Category.assoc]; simp
-- This has the isomorphism pointing in the opposite direction than in `has_limit_of_iso`.
-- This is intentional; it seems to help with elaboration.
/-- If `F` has a colimit, so does any naturally isomorphic functor.
-/
theorem hasColimit_of_iso {F G : J ⥤ C} [HasColimit F] (α : G ≅ F) : HasColimit G :=
HasColimit.mk
{ cocone := (Cocones.precompose α.hom).obj (colimit.cocone F)
isColimit := (IsColimit.precomposeHomEquiv _ _).symm (colimit.isColimit F) }
@[deprecated (since := "2025-03-03")] alias hasColimitOfIso := hasColimit_of_iso
theorem hasColimit_iff_of_iso {F G : J ⥤ C} (α : F ≅ G) : HasColimit F ↔ HasColimit G :=
⟨fun _ ↦ hasColimit_of_iso α.symm, fun _ ↦ hasColimit_of_iso α⟩
/-- If a functor `G` has the same collection of cocones as a functor `F`
which has a colimit, then `G` also has a colimit. -/
theorem HasColimit.ofCoconesIso {K : Type u₁} [Category.{v₂} K] (F : J ⥤ C) (G : K ⥤ C)
(h : F.cocones ≅ G.cocones) [HasColimit F] : HasColimit G :=
HasColimit.mk ⟨_, IsColimit.ofNatIso (IsColimit.natIso (colimit.isColimit F) ≪≫ h)⟩
/-- The colimits of `F : J ⥤ C` and `G : J ⥤ C` are isomorphic,
if the functors are naturally isomorphic.
-/
def HasColimit.isoOfNatIso {F G : J ⥤ C} [HasColimit F] [HasColimit G] (w : F ≅ G) :
colimit F ≅ colimit G :=
IsColimit.coconePointsIsoOfNatIso (colimit.isColimit F) (colimit.isColimit G) w
@[reassoc (attr := simp)]
theorem HasColimit.isoOfNatIso_ι_hom {F G : J ⥤ C} [HasColimit F] [HasColimit G] (w : F ≅ G)
(j : J) : colimit.ι F j ≫ (HasColimit.isoOfNatIso w).hom = w.hom.app j ≫ colimit.ι G j :=
IsColimit.comp_coconePointsIsoOfNatIso_hom _ _ _ _
@[reassoc (attr := simp)]
theorem HasColimit.isoOfNatIso_ι_inv {F G : J ⥤ C} [HasColimit F] [HasColimit G] (w : F ≅ G)
(j : J) : colimit.ι G j ≫ (HasColimit.isoOfNatIso w).inv = w.inv.app j ≫ colimit.ι F j :=
IsColimit.comp_coconePointsIsoOfNatIso_inv _ _ _ _
@[reassoc (attr := simp)]
theorem HasColimit.isoOfNatIso_hom_desc {F G : J ⥤ C} [HasColimit F] [HasColimit G] (t : Cocone G)
(w : F ≅ G) :
(HasColimit.isoOfNatIso w).hom ≫ colimit.desc G t =
colimit.desc F ((Cocones.precompose w.hom).obj _) :=
IsColimit.coconePointsIsoOfNatIso_hom_desc _ _ _
@[reassoc (attr := simp)]
theorem HasColimit.isoOfNatIso_inv_desc {F G : J ⥤ C} [HasColimit F] [HasColimit G] (t : Cocone F)
(w : F ≅ G) :
(HasColimit.isoOfNatIso w).inv ≫ colimit.desc F t =
colimit.desc G ((Cocones.precompose w.inv).obj _) :=
IsColimit.coconePointsIsoOfNatIso_inv_desc _ _ _
/-- The colimits of `F : J ⥤ C` and `G : K ⥤ C` are isomorphic,
if there is an equivalence `e : J ≌ K` making the triangle commute up to natural isomorphism.
-/
def HasColimit.isoOfEquivalence {F : J ⥤ C} [HasColimit F] {G : K ⥤ C} [HasColimit G] (e : J ≌ K)
(w : e.functor ⋙ G ≅ F) : colimit F ≅ colimit G :=
IsColimit.coconePointsIsoOfEquivalence (colimit.isColimit F) (colimit.isColimit G) e w
@[simp]
theorem HasColimit.isoOfEquivalence_hom_π {F : J ⥤ C} [HasColimit F] {G : K ⥤ C} [HasColimit G]
(e : J ≌ K) (w : e.functor ⋙ G ≅ F) (j : J) :
colimit.ι F j ≫ (HasColimit.isoOfEquivalence e w).hom =
F.map (e.unit.app j) ≫ w.inv.app _ ≫ colimit.ι G _ := by
simp [HasColimit.isoOfEquivalence, IsColimit.coconePointsIsoOfEquivalence_inv]
@[simp]
theorem HasColimit.isoOfEquivalence_inv_π {F : J ⥤ C} [HasColimit F] {G : K ⥤ C} [HasColimit G]
(e : J ≌ K) (w : e.functor ⋙ G ≅ F) (k : K) :
colimit.ι G k ≫ (HasColimit.isoOfEquivalence e w).inv =
G.map (e.counitInv.app k) ≫ w.hom.app (e.inverse.obj k) ≫ colimit.ι F (e.inverse.obj k) := by
simp [HasColimit.isoOfEquivalence, IsColimit.coconePointsIsoOfEquivalence_inv]
section Pre
variable (F)
variable [HasColimit F] (E : K ⥤ J) [HasColimit (E ⋙ F)]
/-- The canonical morphism from the colimit of `E ⋙ F` to the colimit of `F`.
-/
def colimit.pre : colimit (E ⋙ F) ⟶ colimit F :=
colimit.desc (E ⋙ F) ((colimit.cocone F).whisker E)
@[reassoc (attr := simp)]
theorem colimit.ι_pre (k : K) : colimit.ι (E ⋙ F) k ≫ colimit.pre F E = colimit.ι F (E.obj k) := by
erw [IsColimit.fac]
rfl
@[reassoc (attr := simp)]
theorem colimit.ι_inv_pre [IsIso (pre F E)] (k : K) :
colimit.ι F (E.obj k) ≫ inv (colimit.pre F E) = colimit.ι (E ⋙ F) k := by
simp [IsIso.comp_inv_eq]
@[reassoc (attr := simp)]
theorem colimit.pre_desc (c : Cocone F) :
colimit.pre F E ≫ colimit.desc F c = colimit.desc (E ⋙ F) (c.whisker E) := by
ext; rw [← assoc, colimit.ι_pre]; simp
variable {L : Type u₃} [Category.{v₃} L]
variable (D : L ⥤ K)
@[simp]
theorem colimit.pre_pre [h : HasColimit (D ⋙ E ⋙ F)] :
haveI : HasColimit ((D ⋙ E) ⋙ F) := h
colimit.pre (E ⋙ F) D ≫ colimit.pre F E = colimit.pre F (D ⋙ E) := by
ext j
rw [← assoc, colimit.ι_pre, colimit.ι_pre]
haveI : HasColimit ((D ⋙ E) ⋙ F) := h
exact (colimit.ι_pre F (D ⋙ E) j).symm
variable {E F}
/-- -
If we have particular colimit cocones available for `E ⋙ F` and for `F`,
we obtain a formula for `colimit.pre F E`.
-/
theorem colimit.pre_eq (s : ColimitCocone (E ⋙ F)) (t : ColimitCocone F) :
colimit.pre F E =
(colimit.isoColimitCocone s).hom ≫
s.isColimit.desc (t.cocone.whisker E) ≫ (colimit.isoColimitCocone t).inv := by
aesop_cat
end Pre
section Post
variable {D : Type u'} [Category.{v'} D]
variable (F)
variable [HasColimit F] (G : C ⥤ D) [HasColimit (F ⋙ G)]
/-- The canonical morphism from `G` applied to the colimit of `F ⋙ G`
to `G` applied to the colimit of `F`.
-/
def colimit.post : colimit (F ⋙ G) ⟶ G.obj (colimit F) :=
colimit.desc (F ⋙ G) (G.mapCocone (colimit.cocone F))
@[reassoc (attr := simp)]
theorem colimit.ι_post (j : J) :
colimit.ι (F ⋙ G) j ≫ colimit.post F G = G.map (colimit.ι F j) := by
erw [IsColimit.fac]
rfl
@[simp]
theorem colimit.post_desc (c : Cocone F) :
colimit.post F G ≫ G.map (colimit.desc F c) = colimit.desc (F ⋙ G) (G.mapCocone c) := by
ext
rw [← assoc, colimit.ι_post, ← G.map_comp, colimit.ι_desc, colimit.ι_desc]
rfl
@[simp]
theorem colimit.post_post {E : Type u''} [Category.{v''} E] (H : D ⥤ E)
-- H G (colimit F) ⟶ H (colimit (F ⋙ G)) ⟶ colimit ((F ⋙ G) ⋙ H) equals
-- H G (colimit F) ⟶ colimit (F ⋙ (G ⋙ H))
[h : HasColimit ((F ⋙ G) ⋙ H)] : haveI : HasColimit (F ⋙ G ⋙ H) := h
colimit.post (F ⋙ G) H ≫ H.map (colimit.post F G) = colimit.post F (G ⋙ H) := by
ext j
rw [← assoc, colimit.ι_post, ← H.map_comp, colimit.ι_post]
haveI : HasColimit (F ⋙ G ⋙ H) := h
exact (colimit.ι_post F (G ⋙ H) j).symm
end Post
theorem colimit.pre_post {D : Type u'} [Category.{v'} D] (E : K ⥤ J) (F : J ⥤ C) (G : C ⥤ D)
[HasColimit F] [HasColimit (E ⋙ F)] [HasColimit (F ⋙ G)] [h : HasColimit ((E ⋙ F) ⋙ G)] :
-- G (colimit F) ⟶ G (colimit (E ⋙ F)) ⟶ colimit ((E ⋙ F) ⋙ G) vs
-- G (colimit F) ⟶ colimit F ⋙ G ⟶ colimit (E ⋙ (F ⋙ G)) or
haveI : HasColimit (E ⋙ F ⋙ G) := h
colimit.post (E ⋙ F) G ≫ G.map (colimit.pre F E) =
colimit.pre (F ⋙ G) E ≫ colimit.post F G := by
ext j
rw [← assoc, colimit.ι_post, ← G.map_comp, colimit.ι_pre, ← assoc]
haveI : HasColimit (E ⋙ F ⋙ G) := h
erw [colimit.ι_pre (F ⋙ G) E j, colimit.ι_post]
open CategoryTheory.Equivalence
instance hasColimit_equivalence_comp (e : K ≌ J) [HasColimit F] : HasColimit (e.functor ⋙ F) :=
HasColimit.mk
{ cocone := Cocone.whisker e.functor (colimit.cocone F)
isColimit := IsColimit.whiskerEquivalence (colimit.isColimit F) e }
/-- If a `E ⋙ F` has a colimit, and `E` is an equivalence, we can construct a colimit of `F`.
-/
theorem hasColimit_of_equivalence_comp (e : K ≌ J) [HasColimit (e.functor ⋙ F)] : HasColimit F := by
haveI : HasColimit (e.inverse ⋙ e.functor ⋙ F) := Limits.hasColimit_equivalence_comp e.symm
apply hasColimit_of_iso (e.invFunIdAssoc F).symm
section ColimFunctor
variable [HasColimitsOfShape J C]
section
/-- `colimit F` is functorial in `F`, when `C` has all colimits of shape `J`. -/
@[simps]
def colim : (J ⥤ C) ⥤ C where
obj F := colimit F
map α := colimMap α
end
variable {G : J ⥤ C} (α : F ⟶ G)
theorem colimMap_eq : colimMap α = colim.map α := rfl
@[reassoc]
theorem colimit.ι_map (j : J) : colimit.ι F j ≫ colim.map α = α.app j ≫ colimit.ι G j := by simp
@[reassoc (attr := simp)]
theorem colimit.map_desc (c : Cocone G) :
colimMap α ≫ colimit.desc G c = colimit.desc F ((Cocones.precompose α).obj c) := by
ext j
simp [← assoc, colimit.ι_map, assoc, colimit.ι_desc, colimit.ι_desc]
theorem colimit.pre_map [HasColimitsOfShape K C] (E : K ⥤ J) :
colimit.pre F E ≫ colim.map α = colim.map (whiskerLeft E α) ≫ colimit.pre G E := by
ext
rw [← assoc, colimit.ι_pre, colimit.ι_map, ← assoc, colimit.ι_map, assoc, colimit.ι_pre]
rfl
theorem colimit.pre_map' [HasColimitsOfShape K C] (F : J ⥤ C) {E₁ E₂ : K ⥤ J} (α : E₁ ⟶ E₂) :
colimit.pre F E₁ = colim.map (whiskerRight α F) ≫ colimit.pre F E₂ := by
ext1
simp [← assoc, assoc]
theorem colimit.pre_id (F : J ⥤ C) :
colimit.pre F (𝟭 _) = colim.map (Functor.leftUnitor F).hom := by aesop_cat
theorem colimit.map_post {D : Type u'} [Category.{v'} D] [HasColimitsOfShape J D]
(H : C ⥤ D) :/- H (colimit F) ⟶ H (colimit G) ⟶ colimit (G ⋙ H) vs
H (colimit F) ⟶ colimit (F ⋙ H) ⟶ colimit (G ⋙ H) -/
colimit.post
F H ≫
H.map (colim.map α) =
colim.map (whiskerRight α H) ≫ colimit.post G H := by
ext
rw [← assoc, colimit.ι_post, ← H.map_comp, colimit.ι_map, H.map_comp]
rw [← assoc, colimit.ι_map, assoc, colimit.ι_post]
rfl
/-- The isomorphism between
morphisms from the cone point of the colimit cocone for `F` to `W`
and cocones over `F` with cone point `W`
is natural in `F`.
-/
def colimCoyoneda : colim.op ⋙ coyoneda ⋙ (whiskeringRight _ _ _).obj uliftFunctor.{u₁}
≅ CategoryTheory.cocones J C :=
NatIso.ofComponents fun F => NatIso.ofComponents fun W => colimit.homIso (unop F) W
/-- The colimit functor and constant functor are adjoint to each other
-/
| def colimConstAdj : (colim : (J ⥤ C) ⥤ C) ⊣ const J := Adjunction.mk' {
homEquiv := fun f c ↦
{ toFun := fun g =>
{ app := fun _ => colimit.ι _ _ ≫ g }
| Mathlib/CategoryTheory/Limits/HasLimits.lean | 1,049 | 1,052 |
/-
Copyright (c) 2023 Chris Hughes. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Chris Hughes
-/
import Mathlib.GroupTheory.CoprodI
import Mathlib.GroupTheory.Coprod.Basic
import Mathlib.GroupTheory.Complement
/-!
## Pushouts of Monoids and Groups
This file defines wide pushouts of monoids and groups and proves some properties
of the amalgamated product of groups (i.e. the special case where all the maps
in the diagram are injective).
## Main definitions
- `Monoid.PushoutI`: the pushout of a diagram of monoids indexed by a type `ι`
- `Monoid.PushoutI.base`: the map from the amalgamating monoid to the pushout
- `Monoid.PushoutI.of`: the map from each Monoid in the family to the pushout
- `Monoid.PushoutI.lift`: the universal property used to define homomorphisms out of the pushout.
- `Monoid.PushoutI.NormalWord`: a normal form for words in the pushout
- `Monoid.PushoutI.of_injective`: if all the maps in the diagram are injective in a pushout of
groups then so is `of`
- `Monoid.PushoutI.Reduced.eq_empty_of_mem_range`: For any word `w` in the coproduct,
if `w` is reduced (i.e none its letters are in the image of the base monoid), and nonempty, then
`w` itself is not in the image of the base monoid.
## References
* The normal form theorem follows these [notes](https://webspace.maths.qmul.ac.uk/i.m.chiswell/ggt/lecture_notes/lecture2.pdf)
from Queen Mary University
## Tags
amalgamated product, pushout, group
-/
namespace Monoid
open CoprodI Subgroup Coprod Function List
variable {ι : Type*} {G : ι → Type*} {H : Type*} {K : Type*} [Monoid K]
/-- The relation we quotient by to form the pushout -/
def PushoutI.con [∀ i, Monoid (G i)] [Monoid H] (φ : ∀ i, H →* G i) :
Con (Coprod (CoprodI G) H) :=
conGen (fun x y : Coprod (CoprodI G) H =>
∃ i x', x = inl (of (φ i x')) ∧ y = inr x')
/-- The indexed pushout of monoids, which is the pushout in the category of monoids,
or the category of groups. -/
def PushoutI [∀ i, Monoid (G i)] [Monoid H] (φ : ∀ i, H →* G i) : Type _ :=
(PushoutI.con φ).Quotient
namespace PushoutI
section Monoid
variable [∀ i, Monoid (G i)] [Monoid H] {φ : ∀ i, H →* G i}
protected instance mul : Mul (PushoutI φ) := by
delta PushoutI; infer_instance
protected instance one : One (PushoutI φ) := by
delta PushoutI; infer_instance
instance monoid : Monoid (PushoutI φ) :=
{ Con.monoid _ with
toMul := PushoutI.mul
toOne := PushoutI.one }
/-- The map from each indexing group into the pushout -/
def of (i : ι) : G i →* PushoutI φ :=
(Con.mk' _).comp <| inl.comp CoprodI.of
variable (φ) in
/-- The map from the base monoid into the pushout -/
def base : H →* PushoutI φ :=
(Con.mk' _).comp inr
theorem of_comp_eq_base (i : ι) : (of i).comp (φ i) = (base φ) := by
ext x
apply (Con.eq _).2
refine ConGen.Rel.of _ _ ?_
simp only [MonoidHom.comp_apply, Set.mem_iUnion, Set.mem_range]
exact ⟨_, _, rfl, rfl⟩
variable (φ) in
theorem of_apply_eq_base (i : ι) (x : H) : of i (φ i x) = base φ x := by
rw [← MonoidHom.comp_apply, of_comp_eq_base]
/-- Define a homomorphism out of the pushout of monoids be defining it on each object in the
diagram -/
def lift (f : ∀ i, G i →* K) (k : H →* K)
(hf : ∀ i, (f i).comp (φ i) = k) :
PushoutI φ →* K :=
Con.lift _ (Coprod.lift (CoprodI.lift f) k) <| by
apply Con.conGen_le fun x y => ?_
rintro ⟨i, x', rfl, rfl⟩
simp only [DFunLike.ext_iff, MonoidHom.coe_comp, comp_apply] at hf
simp [hf]
@[simp]
theorem lift_of (f : ∀ i, G i →* K) (k : H →* K)
(hf : ∀ i, (f i).comp (φ i) = k)
{i : ι} (g : G i) : (lift f k hf) (of i g : PushoutI φ) = f i g := by
delta PushoutI lift of
simp only [MonoidHom.coe_comp, Con.coe_mk', comp_apply, Con.lift_coe,
lift_apply_inl, CoprodI.lift_of]
@[simp]
theorem lift_base (f : ∀ i, G i →* K) (k : H →* K)
| (hf : ∀ i, (f i).comp (φ i) = k)
(g : H) : (lift f k hf) (base φ g : PushoutI φ) = k g := by
delta PushoutI lift base
simp only [MonoidHom.coe_comp, Con.coe_mk', comp_apply, Con.lift_coe, lift_apply_inr]
| Mathlib/GroupTheory/PushoutI.lean | 119 | 123 |
/-
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.Data.Fintype.Option
import Mathlib.Data.Fintype.Shrink
import Mathlib.Data.Fintype.Sum
import Mathlib.Data.Finite.Prod
import Mathlib.Algebra.BigOperators.Group.Finset.Basic
/-!
# The Hales-Jewett theorem
We prove the Hales-Jewett theorem. We deduce Van der Waerden's theorem and the multidimensional
Hales-Jewett theorem as corollaries.
The Hales-Jewett theorem is a result in Ramsey theory dealing with *combinatorial lines*. Given
an 'alphabet' `α : Type*` and `a b : α`, an example of a combinatorial line in `α^5` is
`{ (a, x, x, b, x) | x : α }`. See `Combinatorics.Line` for a precise general definition. The
Hales-Jewett theorem states that for any fixed finite types `α` and `κ`, there exists a (potentially
huge) finite type `ι` such that whenever `ι → α` is `κ`-colored (i.e. for any coloring
`C : (ι → α) → κ`), there exists a monochromatic line. We prove the Hales-Jewett theorem using
the idea of *color focusing* and a *product argument*. See the proof of
`Combinatorics.Line.exists_mono_in_high_dimension'` for details.
*Combinatorial subspaces* are higher-dimensional analogues of combinatorial lines. See
`Combinatorics.Subspace`. The multidimensional Hales-Jewett theorem generalises the statement above
from combinatorial lines to combinatorial subspaces of a fixed dimension.
The version of Van der Waerden's theorem in this file states that whenever a commutative monoid `M`
is finitely colored and `S` is a finite subset, there exists a monochromatic homothetic copy of `S`.
This follows from the Hales-Jewett theorem by considering the map `(ι → S) → M` sending `v`
to `∑ i : ι, v i`, which sends a combinatorial line to a homothetic copy of `S`.
## Main results
- `Combinatorics.Line.exists_mono_in_high_dimension`: The Hales-Jewett theorem.
- `Combinatorics.Subspace.exists_mono_in_high_dimension`: The multidimensional Hales-Jewett theorem.
- `Combinatorics.exists_mono_homothetic_copy`: A generalization of Van der Waerden's theorem.
## Implementation details
For convenience, we work directly with finite types instead of natural numbers. That is, we write
`α, ι, κ` for (finite) types where one might traditionally use natural numbers `n, H, c`. This
allows us to work directly with `α`, `Option α`, `(ι → α) → κ`, and `ι ⊕ ι'` instead of `Fin n`,
`Fin (n+1)`, `Fin (c^(n^H))`, and `Fin (H + H')`.
## TODO
- Prove a finitary version of Van der Waerden's theorem (either by compactness or by modifying the
current proof).
- One could reformulate the proof of Hales-Jewett to give explicit upper bounds on the number of
coordinates needed.
## Tags
combinatorial line, Ramsey theory, arithmetic progression
### References
* https://en.wikipedia.org/wiki/Hales%E2%80%93Jewett_theorem
-/
open Function
open scoped Finset
universe u v
variable {η α ι κ : Type*}
namespace Combinatorics
/-- The type of combinatorial subspaces. A subspace `l : Subspace η α ι` in the hypercube `ι → α`
defines a function `(η → α) → ι → α` from `η → α` to the hypercube, such that for each coordinate
`i : ι` and direction `e : η`, the function `fun x ↦ l x i` is either `fun x ↦ x e` for some
direction `e : η` or constant. We require subspaces to be non-degenerate in the sense that, for
every `e : η`, `fun x ↦ l x i` is `fun x ↦ x e` for at least one `i`.
Formally, a subspace is represented by a word `l.idxFun : ι → α ⊕ η` which says whether
`fun x ↦ l x i` is `fun x ↦ x e` (corresponding to `l.idxFun i = Sum.inr e`) or constantly `a`
(corresponding to `l.idxFun i = Sum.inl a`).
When `α` has size `1` there can be many elements of `Subspace η α ι` defining the same function. -/
@[ext]
structure Subspace (η α ι : Type*) where
/-- The word representing a combinatorial subspace. `l.idxfun i = Sum.inr e` means that
`l x i = x e` for all `x` and `l.idxfun i = some a` means that `l x i = a` for all `x`. -/
idxFun : ι → α ⊕ η
/-- We require combinatorial subspaces to be nontrivial in the sense that `fun x ↦ l x i` is
`fun x ↦ x e` for at least one coordinate `i`. -/
proper : ∀ e, ∃ i, idxFun i = Sum.inr e
namespace Subspace
variable {η α ι κ : Type*} {l : Subspace η α ι} {x : η → α} {i : ι} {a : α} {e : η}
/-- The combinatorial subspace corresponding to the identity embedding `(ι → α) → (ι → α)`. -/
instance : Inhabited (Subspace ι α ι) := ⟨⟨Sum.inr, fun i ↦ ⟨i, rfl⟩⟩⟩
/-- Consider a subspace `l : Subspace η α ι` as a function `(η → α) → ι → α`. -/
@[coe] def toFun (l : Subspace η α ι) (x : η → α) (i : ι) : α := (l.idxFun i).elim id x
instance instCoeFun : CoeFun (Subspace η α ι) (fun _ ↦ (η → α) → ι → α) := ⟨toFun⟩
lemma coe_apply (l : Subspace η α ι) (x : η → α) (i : ι) : l x i = (l.idxFun i).elim id x := rfl
-- Note: This is not made a `FunLike` instance to avoid having two syntactically different coercions
lemma coe_injective [Nontrivial α] : Injective ((⇑) : Subspace η α ι → (η → α) → ι → α) := by
classical
rintro l m hlm
ext i
simp only [funext_iff] at hlm
cases hl : idxFun l i with
| inl a =>
obtain ⟨b, hba⟩ := exists_ne a
cases hm : idxFun m i <;> simpa [hl, hm, hba.symm, coe_apply] using hlm (const _ b) i
| inr e =>
cases hm : idxFun m i with
| inl a =>
obtain ⟨b, hba⟩ := exists_ne a
simpa [hl, hm, hba, coe_apply] using hlm (const _ b) i
| inr f =>
obtain ⟨a, b, hab⟩ := exists_pair_ne α
simp only [Sum.inr.injEq]
by_contra! hef
simpa [hl, hm, hef, hab, coe_apply] using hlm (Function.update (const _ a) f b) i
lemma apply_def (l : Subspace η α ι) (x : η → α) (i : ι) : l x i = (l.idxFun i).elim id x := rfl
lemma apply_inl (h : l.idxFun i = Sum.inl a) : l x i = a := by simp [apply_def, h]
lemma apply_inr (h : l.idxFun i = Sum.inr e) : l x i = x e := by simp [apply_def, h]
/-- Given a coloring `C` of `ι → α` and a combinatorial subspace `l` of `ι → α`, `l.IsMono C`
means that `l` is monochromatic with regard to `C`. -/
def IsMono (C : (ι → α) → κ) (l : Subspace η α ι) : Prop := ∃ c, ∀ x, C (l x) = c
variable {η' α' ι' : Type*}
/-- Change the index types of a subspace. -/
def reindex (l : Subspace η α ι) (eη : η ≃ η') (eα : α ≃ α') (eι : ι ≃ ι') : Subspace η' α' ι' where
idxFun i := (l.idxFun <| eι.symm i).map eα eη
proper e := (eι.exists_congr fun i ↦ by cases h : idxFun l i <;>
simp [*, funext_iff, Equiv.eq_symm_apply]).1 <| l.proper <| eη.symm e
@[simp] lemma reindex_apply (l : Subspace η α ι) (eη : η ≃ η') (eα : α ≃ α') (eι : ι ≃ ι') (x i) :
l.reindex eη eα eι x i = eα (l (eα.symm ∘ x ∘ eη) <| eι.symm i) := by
cases h : l.idxFun (eι.symm i) <;> simp [h, reindex, coe_apply]
@[simp] lemma reindex_isMono {eη : η ≃ η'} {eα : α ≃ α'} {eι : ι ≃ ι'} {C : (ι' → α') → κ} :
(l.reindex eη eα eι).IsMono C ↔ l.IsMono fun x ↦ C <| eα ∘ x ∘ eι.symm := by
simp only [IsMono, funext (reindex_apply _ _ _ _ _), coe_apply]
exact exists_congr fun c ↦ (eη.arrowCongr eα).symm.forall_congr <| by aesop
protected lemma IsMono.reindex {eη : η ≃ η'} {eα : α ≃ α'} {eι : ι ≃ ι'} {C : (ι → α) → κ}
(hl : l.IsMono C) : (l.reindex eη eα eι).IsMono fun x ↦ C <| eα.symm ∘ x ∘ eι := by
simp [reindex_isMono, Function.comp_assoc]; simpa [← Function.comp_assoc]
end Subspace
/-- The type of combinatorial lines. A line `l : Line α ι` in the hypercube `ι → α` defines a
function `α → ι → α` from `α` to the hypercube, such that for each coordinate `i : ι`, the function
`fun x ↦ l x i` is either `id` or constant. We require lines to be nontrivial in the sense that
`fun x ↦ l x i` is `id` for at least one `i`.
Formally, a line is represented by a word `l.idxFun : ι → Option α` which says whether
`fun x ↦ l x i` is `id` (corresponding to `l.idxFun i = none`) or constantly `y` (corresponding to
`l.idxFun i = some y`).
When `α` has size `1` there can be many elements of `Line α ι` defining the same function. -/
@[ext]
structure Line (α ι : Type*) where
/-- The word representing a combinatorial line. `l.idxfun i = none` means that
`l x i = x` for all `x` and `l.idxfun i = some y` means that `l x i = y`. -/
idxFun : ι → Option α
/-- We require combinatorial lines to be nontrivial in the sense that `fun x ↦ l x i` is `id` for
at least one coordinate `i`. -/
proper : ∃ i, idxFun i = none
namespace Line
variable {l : Line α ι} {i : ι} {a x : α}
/-- Consider a line `l : Line α ι` as a function `α → ι → α`. -/
@[coe] def toFun (l : Line α ι) (x : α) (i : ι) : α := (l.idxFun i).getD x
-- This lets us treat a line `l : Line α ι` as a function `α → ι → α`.
instance instCoeFun : CoeFun (Line α ι) fun _ => α → ι → α := ⟨toFun⟩
@[simp] lemma coe_apply (l : Line α ι) (x : α) (i : ι) : l x i = (l.idxFun i).getD x := rfl
-- Note: This is not made a `FunLike` instance to avoid having two syntactically different coercions
lemma coe_injective [Nontrivial α] : Injective ((⇑) : Line α ι → α → ι → α) := by
rintro l m hlm
ext i a
obtain ⟨b, hba⟩ := exists_ne a
simp only [Option.mem_def, funext_iff] at hlm ⊢
refine ⟨fun h ↦ ?_, fun h ↦ ?_⟩
· cases hi : idxFun m i <;> simpa [@eq_comm _ a, hi, h, hba] using hlm b i
· cases hi : idxFun l i <;> simpa [@eq_comm _ a, hi, h, hba] using hlm b i
/-- A line is monochromatic if all its points are the same color. -/
def IsMono {α ι κ} (C : (ι → α) → κ) (l : Line α ι) : Prop :=
∃ c, ∀ x, C (l x) = c
| /-- Consider a line as a one-dimensional subspace. -/
def toSubspaceUnit (l : Line α ι) : Subspace Unit α ι where
idxFun i := (l.idxFun i).elim (.inr ()) .inl
proper _ := l.proper.imp fun i hi ↦ by simp [hi]
| Mathlib/Combinatorics/HalesJewett.lean | 204 | 207 |
/-
Copyright (c) 2024 Calle Sönne. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Paul Lezeau, Calle Sönne
-/
import Mathlib.CategoryTheory.Functor.Category
import Mathlib.CategoryTheory.CommSq
/-!
# HomLift
Given a functor `p : 𝒳 ⥤ 𝒮`, this file provides API for expressing the fact that `p(φ) = f`
for given morphisms `φ` and `f`. The reason this API is needed is because, in general, `p.map φ = f`
does not make sense when the domain and/or codomain of `φ` and `f` are not definitionally equal.
## Main definition
Given morphism `φ : a ⟶ b` in `𝒳` and `f : R ⟶ S` in `𝒮`, `p.IsHomLift f φ` is a class, defined
using the auxiliary inductive type `IsHomLiftAux` which expresses the fact that `f = p(φ)`.
We also define a macro `subst_hom_lift p f φ` which can be used to substitute `f` with `p(φ)` in a
goal, this tactic is just short for `obtain ⟨⟩ := Functor.IsHomLift.cond (p:=p) (f:=f) (φ:=φ)`, and
it is used to make the code more readable.
-/
universe u₁ v₁ u₂ v₂
open CategoryTheory Category
variable {𝒮 : Type u₁} {𝒳 : Type u₂} [Category.{v₁} 𝒳] [Category.{v₂} 𝒮] (p : 𝒳 ⥤ 𝒮)
namespace CategoryTheory
/-- Helper-type for defining `IsHomLift`. -/
inductive IsHomLiftAux : ∀ {R S : 𝒮} {a b : 𝒳} (_ : R ⟶ S) (_ : a ⟶ b), Prop
| map {a b : 𝒳} (φ : a ⟶ b) : IsHomLiftAux (p.map φ) φ
/-- Given a functor `p : 𝒳 ⥤ 𝒮`, an arrow `φ : a ⟶ b` in `𝒳` and an arrow `f : R ⟶ S` in `𝒮`,
`p.IsHomLift f φ` expresses the fact that `φ` lifts `f` through `p`.
This is often drawn as:
```
a --φ--> b
- -
| |
v v
R --f--> S
``` -/
class Functor.IsHomLift {R S : 𝒮} {a b : 𝒳} (f : R ⟶ S) (φ : a ⟶ b) : Prop where
cond : IsHomLiftAux p f φ
/-- `subst_hom_lift p f φ` tries to substitute `f` with `p(φ)` by using `p.IsHomLift f φ` -/
macro "subst_hom_lift" p:term:max f:term:max φ:term:max : tactic =>
`(tactic| obtain ⟨⟩ := Functor.IsHomLift.cond (p := $p) (f := $f) (φ := $φ))
/-- For any arrow `φ : a ⟶ b` in `𝒳`, `φ` lifts the arrow `p.map φ` in the base `𝒮`. -/
@[simp]
instance {a b : 𝒳} (φ : a ⟶ b) : p.IsHomLift (p.map φ) φ where
cond := by constructor
@[simp]
instance (a : 𝒳) : p.IsHomLift (𝟙 (p.obj a)) (𝟙 a) := by
rw [← p.map_id]; infer_instance
namespace IsHomLift
protected lemma id {p : 𝒳 ⥤ 𝒮} {R : 𝒮} {a : 𝒳} (ha : p.obj a = R) : p.IsHomLift (𝟙 R) (𝟙 a) := by
cases ha; infer_instance
section
variable {R S : 𝒮} {a b : 𝒳}
lemma domain_eq (f : R ⟶ S) (φ : a ⟶ b) [p.IsHomLift f φ] : p.obj a = R := by
subst_hom_lift p f φ; rfl
| lemma codomain_eq (f : R ⟶ S) (φ : a ⟶ b) [p.IsHomLift f φ] : p.obj b = S := by
subst_hom_lift p f φ; rfl
| Mathlib/CategoryTheory/FiberedCategory/HomLift.lean | 79 | 80 |
/-
Copyright (c) 2020 Kim Morrison. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kim Morrison
-/
import Mathlib.Algebra.Algebra.Basic
import Mathlib.Algebra.CharP.Defs
import Mathlib.Algebra.Polynomial.Degree.Lemmas
import Mathlib.Algebra.Polynomial.Eval.Algebra
import Mathlib.Tactic.Abel
/-!
# The Pochhammer polynomials
We define and prove some basic relations about
`ascPochhammer S n : S[X] := X * (X + 1) * ... * (X + n - 1)`
which is also known as the rising factorial and about
`descPochhammer R n : R[X] := X * (X - 1) * ... * (X - n + 1)`
which is also known as the falling factorial. Versions of this definition
that are focused on `Nat` can be found in `Data.Nat.Factorial` as `Nat.ascFactorial` and
`Nat.descFactorial`.
## Implementation
As with many other families of polynomials, even though the coefficients are always in `ℕ` or `ℤ` ,
we define the polynomial with coefficients in any `[Semiring S]` or `[Ring R]`.
In an integral domain `S`, we show that `ascPochhammer S n` is zero iff
`n` is a sufficiently large non-positive integer.
## TODO
There is lots more in this direction:
* q-factorials, q-binomials, q-Pochhammer.
-/
universe u v
open Polynomial
section Semiring
variable (S : Type u) [Semiring S]
/-- `ascPochhammer S n` is the polynomial `X * (X + 1) * ... * (X + n - 1)`,
with coefficients in the semiring `S`.
-/
noncomputable def ascPochhammer : ℕ → S[X]
| 0 => 1
| n + 1 => X * (ascPochhammer n).comp (X + 1)
@[simp]
theorem ascPochhammer_zero : ascPochhammer S 0 = 1 :=
rfl
@[simp]
theorem ascPochhammer_one : ascPochhammer S 1 = X := by simp [ascPochhammer]
theorem ascPochhammer_succ_left (n : ℕ) :
ascPochhammer S (n + 1) = X * (ascPochhammer S n).comp (X + 1) := by
rw [ascPochhammer]
theorem monic_ascPochhammer (n : ℕ) [Nontrivial S] [NoZeroDivisors S] :
Monic <| ascPochhammer S n := by
induction' n with n hn
· simp
· have : leadingCoeff (X + 1 : S[X]) = 1 := leadingCoeff_X_add_C 1
rw [ascPochhammer_succ_left, Monic.def, leadingCoeff_mul,
leadingCoeff_comp (ne_zero_of_eq_one <| natDegree_X_add_C 1 : natDegree (X + 1) ≠ 0), hn,
monic_X, one_mul, one_mul, this, one_pow]
section
variable {S} {T : Type v} [Semiring T]
@[simp]
theorem ascPochhammer_map (f : S →+* T) (n : ℕ) :
(ascPochhammer S n).map f = ascPochhammer T n := by
induction n with
| zero => simp
| succ n ih => simp [ih, ascPochhammer_succ_left, map_comp]
theorem ascPochhammer_eval₂ (f : S →+* T) (n : ℕ) (t : T) :
(ascPochhammer T n).eval t = (ascPochhammer S n).eval₂ f t := by
rw [← ascPochhammer_map f]
exact eval_map f t
theorem ascPochhammer_eval_comp {R : Type*} [CommSemiring R] (n : ℕ) (p : R[X]) [Algebra R S]
(x : S) : ((ascPochhammer S n).comp (p.map (algebraMap R S))).eval x =
(ascPochhammer S n).eval (p.eval₂ (algebraMap R S) x) := by
rw [ascPochhammer_eval₂ (algebraMap R S), ← eval₂_comp', ← ascPochhammer_map (algebraMap R S),
← map_comp, eval_map]
end
@[simp, norm_cast]
theorem ascPochhammer_eval_cast (n k : ℕ) :
(((ascPochhammer ℕ n).eval k : ℕ) : S) = ((ascPochhammer S n).eval k : S) := by
rw [← ascPochhammer_map (algebraMap ℕ S), eval_map, ← eq_natCast (algebraMap ℕ S),
eval₂_at_natCast,Nat.cast_id]
theorem ascPochhammer_eval_zero {n : ℕ} : (ascPochhammer S n).eval 0 = if n = 0 then 1 else 0 := by
cases n
· simp
· simp [X_mul, Nat.succ_ne_zero, ascPochhammer_succ_left]
theorem ascPochhammer_zero_eval_zero : (ascPochhammer S 0).eval 0 = 1 := by simp
@[simp]
theorem ascPochhammer_ne_zero_eval_zero {n : ℕ} (h : n ≠ 0) : (ascPochhammer S n).eval 0 = 0 := by
simp [ascPochhammer_eval_zero, h]
theorem ascPochhammer_succ_right (n : ℕ) :
ascPochhammer S (n + 1) = ascPochhammer S n * (X + (n : S[X])) := by
suffices h : ascPochhammer ℕ (n + 1) = ascPochhammer ℕ n * (X + (n : ℕ[X])) by
apply_fun Polynomial.map (algebraMap ℕ S) at h
simpa only [ascPochhammer_map, Polynomial.map_mul, Polynomial.map_add, map_X,
Polynomial.map_natCast] using h
induction n with
| zero => simp
| succ n ih =>
conv_lhs =>
rw [ascPochhammer_succ_left, ih, mul_comp, ← mul_assoc, ← ascPochhammer_succ_left, add_comp,
X_comp, natCast_comp, add_assoc, add_comm (1 : ℕ[X]), ← Nat.cast_succ]
theorem ascPochhammer_succ_eval {S : Type*} [Semiring S] (n : ℕ) (k : S) :
(ascPochhammer S (n + 1)).eval k = (ascPochhammer S n).eval k * (k + n) := by
rw [ascPochhammer_succ_right, mul_add, eval_add, eval_mul_X, ← Nat.cast_comm, ← C_eq_natCast,
eval_C_mul, Nat.cast_comm, ← mul_add]
theorem ascPochhammer_succ_comp_X_add_one (n : ℕ) :
(ascPochhammer S (n + 1)).comp (X + 1) =
ascPochhammer S (n + 1) + (n + 1) • (ascPochhammer S n).comp (X + 1) := by
suffices (ascPochhammer ℕ (n + 1)).comp (X + 1) =
ascPochhammer ℕ (n + 1) + (n + 1) * (ascPochhammer ℕ n).comp (X + 1)
by simpa [map_comp] using congr_arg (Polynomial.map (Nat.castRingHom S)) this
nth_rw 2 [ascPochhammer_succ_left]
rw [← add_mul, ascPochhammer_succ_right ℕ n, mul_comp, mul_comm, add_comp, X_comp, natCast_comp,
add_comm, ← add_assoc]
ring
theorem ascPochhammer_mul (n m : ℕ) :
ascPochhammer S n * (ascPochhammer S m).comp (X + (n : S[X])) = ascPochhammer S (n + m) := by
induction' m with m ih
· simp
· rw [ascPochhammer_succ_right, Polynomial.mul_X_add_natCast_comp, ← mul_assoc, ih,
← add_assoc, ascPochhammer_succ_right, Nat.cast_add, add_assoc]
theorem ascPochhammer_nat_eq_ascFactorial (n : ℕ) :
∀ k, (ascPochhammer ℕ k).eval n = n.ascFactorial k
| 0 => by rw [ascPochhammer_zero, eval_one, Nat.ascFactorial_zero]
| t + 1 => by
rw [ascPochhammer_succ_right, eval_mul, ascPochhammer_nat_eq_ascFactorial n t, eval_add, eval_X,
eval_natCast, Nat.cast_id, Nat.ascFactorial_succ, mul_comm]
theorem ascPochhammer_nat_eq_natCast_ascFactorial (S : Type*) [Semiring S] (n k : ℕ) :
(ascPochhammer S k).eval (n : S) = n.ascFactorial k := by
norm_cast
rw [ascPochhammer_nat_eq_ascFactorial]
theorem ascPochhammer_nat_eq_descFactorial (a b : ℕ) :
(ascPochhammer ℕ b).eval a = (a + b - 1).descFactorial b := by
rw [ascPochhammer_nat_eq_ascFactorial, Nat.add_descFactorial_eq_ascFactorial']
theorem ascPochhammer_nat_eq_natCast_descFactorial (S : Type*) [Semiring S] (a b : ℕ) :
(ascPochhammer S b).eval (a : S) = (a + b - 1).descFactorial b := by
norm_cast
rw [ascPochhammer_nat_eq_descFactorial]
@[simp]
theorem ascPochhammer_natDegree (n : ℕ) [NoZeroDivisors S] [Nontrivial S] :
(ascPochhammer S n).natDegree = n := by
induction' n with n hn
· simp
· have : natDegree (X + (n : S[X])) = 1 := natDegree_X_add_C (n : S)
rw [ascPochhammer_succ_right,
natDegree_mul _ (ne_zero_of_natDegree_gt <| this.symm ▸ Nat.zero_lt_one), hn, this]
cases n
· simp
· refine ne_zero_of_natDegree_gt <| hn.symm ▸ Nat.add_one_pos _
end Semiring
section StrictOrderedSemiring
variable {S : Type*} [Semiring S] [PartialOrder S] [IsStrictOrderedRing S]
theorem ascPochhammer_pos (n : ℕ) (s : S) (h : 0 < s) : 0 < (ascPochhammer S n).eval s := by
induction n with
| zero =>
simp only [ascPochhammer_zero, eval_one]
exact zero_lt_one
| succ n ih =>
rw [ascPochhammer_succ_right, mul_add, eval_add, ← Nat.cast_comm, eval_natCast_mul, eval_mul_X,
Nat.cast_comm, ← mul_add]
exact mul_pos ih (lt_of_lt_of_le h (le_add_of_nonneg_right (Nat.cast_nonneg n)))
end StrictOrderedSemiring
section Factorial
open Nat
variable (S : Type*) [Semiring S] (r n : ℕ)
@[simp]
theorem ascPochhammer_eval_one (S : Type*) [Semiring S] (n : ℕ) :
(ascPochhammer S n).eval (1 : S) = (n ! : S) := by
rw_mod_cast [ascPochhammer_nat_eq_ascFactorial, Nat.one_ascFactorial]
theorem factorial_mul_ascPochhammer (S : Type*) [Semiring S] (r n : ℕ) :
(r ! : S) * (ascPochhammer S n).eval (r + 1 : S) = (r + n)! := by
rw_mod_cast [ascPochhammer_nat_eq_ascFactorial, Nat.factorial_mul_ascFactorial]
theorem ascPochhammer_nat_eval_succ (r : ℕ) :
∀ n : ℕ, n * (ascPochhammer ℕ r).eval (n + 1) = (n + r) * (ascPochhammer ℕ r).eval n
| 0 => by
by_cases h : r = 0
· simp only [h, zero_mul, zero_add]
· simp only [ascPochhammer_eval_zero, zero_mul, if_neg h, mul_zero]
| k + 1 => by simp only [ascPochhammer_nat_eq_ascFactorial, Nat.succ_ascFactorial, add_right_comm]
theorem ascPochhammer_eval_succ (r n : ℕ) :
(n : S) * (ascPochhammer S r).eval (n + 1 : S) =
(n + r) * (ascPochhammer S r).eval (n : S) :=
mod_cast congr_arg Nat.cast (ascPochhammer_nat_eval_succ r n)
end Factorial
section Ring
variable (R : Type u) [Ring R]
/-- `descPochhammer R n` is the polynomial `X * (X - 1) * ... * (X - n + 1)`,
with coefficients in the ring `R`.
-/
noncomputable def descPochhammer : ℕ → R[X]
| 0 => 1
| n + 1 => X * (descPochhammer n).comp (X - 1)
@[simp]
theorem descPochhammer_zero : descPochhammer R 0 = 1 :=
rfl
@[simp]
theorem descPochhammer_one : descPochhammer R 1 = X := by simp [descPochhammer]
theorem descPochhammer_succ_left (n : ℕ) :
descPochhammer R (n + 1) = X * (descPochhammer R n).comp (X - 1) := by
rw [descPochhammer]
theorem monic_descPochhammer (n : ℕ) [Nontrivial R] [NoZeroDivisors R] :
Monic <| descPochhammer R n := by
induction' n with n hn
· simp
· have h : leadingCoeff (X - 1 : R[X]) = 1 := leadingCoeff_X_sub_C 1
have : natDegree (X - (1 : R[X])) ≠ 0 := ne_zero_of_eq_one <| natDegree_X_sub_C (1 : R)
rw [descPochhammer_succ_left, Monic.def, leadingCoeff_mul, leadingCoeff_comp this, hn, monic_X,
one_mul, one_mul, h, one_pow]
section
variable {R} {T : Type v} [Ring T]
@[simp]
theorem descPochhammer_map (f : R →+* T) (n : ℕ) :
(descPochhammer R n).map f = descPochhammer T n := by
induction n with
| zero => simp
| succ n ih => simp [ih, descPochhammer_succ_left, map_comp]
end
@[simp, norm_cast]
theorem descPochhammer_eval_cast (n : ℕ) (k : ℤ) :
(((descPochhammer ℤ n).eval k : ℤ) : R) = ((descPochhammer R n).eval k : R) := by
rw [← descPochhammer_map (algebraMap ℤ R), eval_map, ← eq_intCast (algebraMap ℤ R)]
simp only [algebraMap_int_eq, eq_intCast, eval₂_at_intCast, Nat.cast_id, eq_natCast, Int.cast_id]
theorem descPochhammer_eval_zero {n : ℕ} :
(descPochhammer R n).eval 0 = if n = 0 then 1 else 0 := by
cases n
· simp
· simp [X_mul, Nat.succ_ne_zero, descPochhammer_succ_left]
theorem descPochhammer_zero_eval_zero : (descPochhammer R 0).eval 0 = 1 := by simp
@[simp]
theorem descPochhammer_ne_zero_eval_zero {n : ℕ} (h : n ≠ 0) : (descPochhammer R n).eval 0 = 0 := by
simp [descPochhammer_eval_zero, h]
theorem descPochhammer_succ_right (n : ℕ) :
descPochhammer R (n + 1) = descPochhammer R n * (X - (n : R[X])) := by
suffices h : descPochhammer ℤ (n + 1) = descPochhammer ℤ n * (X - (n : ℤ[X])) by
apply_fun Polynomial.map (algebraMap ℤ R) at h
simpa [descPochhammer_map, Polynomial.map_mul, Polynomial.map_add, map_X,
Polynomial.map_intCast] using h
induction n with
| zero => simp [descPochhammer]
| succ n ih =>
conv_lhs =>
rw [descPochhammer_succ_left, ih, mul_comp, ← mul_assoc, ← descPochhammer_succ_left, sub_comp,
X_comp, natCast_comp]
rw [Nat.cast_add, Nat.cast_one, sub_add_eq_sub_sub_swap]
@[simp]
theorem descPochhammer_natDegree (n : ℕ) [NoZeroDivisors R] [Nontrivial R] :
(descPochhammer R n).natDegree = n := by
induction' n with n hn
· simp
· have : natDegree (X - (n : R[X])) = 1 := natDegree_X_sub_C (n : R)
rw [descPochhammer_succ_right,
natDegree_mul _ (ne_zero_of_natDegree_gt <| this.symm ▸ Nat.zero_lt_one), hn, this]
cases n
· simp
· refine ne_zero_of_natDegree_gt <| hn.symm ▸ Nat.add_one_pos _
theorem descPochhammer_succ_eval {S : Type*} [Ring S] (n : ℕ) (k : S) :
(descPochhammer S (n + 1)).eval k = (descPochhammer S n).eval k * (k - n) := by
rw [descPochhammer_succ_right, mul_sub, eval_sub, eval_mul_X, ← Nat.cast_comm, ← C_eq_natCast,
eval_C_mul, Nat.cast_comm, ← mul_sub]
theorem descPochhammer_succ_comp_X_sub_one (n : ℕ) :
(descPochhammer R (n + 1)).comp (X - 1) =
descPochhammer R (n + 1) - (n + (1 : R[X])) • (descPochhammer R n).comp (X - 1) := by
suffices (descPochhammer ℤ (n + 1)).comp (X - 1) =
descPochhammer ℤ (n + 1) - (n + 1) * (descPochhammer ℤ n).comp (X - 1)
by simpa [map_comp] using congr_arg (Polynomial.map (Int.castRingHom R)) this
nth_rw 2 [descPochhammer_succ_left]
rw [← sub_mul, descPochhammer_succ_right ℤ n, mul_comp, mul_comm, sub_comp, X_comp, natCast_comp]
ring
theorem descPochhammer_eq_ascPochhammer (n : ℕ) :
descPochhammer ℤ n = (ascPochhammer ℤ n).comp ((X : ℤ[X]) - n + 1) := by
induction n with
| zero => rw [descPochhammer_zero, ascPochhammer_zero, one_comp]
| succ n ih =>
rw [Nat.cast_succ, sub_add, add_sub_cancel_right, descPochhammer_succ_right,
ascPochhammer_succ_left, ih, X_mul, mul_X_comp, comp_assoc, add_comp, X_comp, one_comp]
theorem descPochhammer_eval_eq_ascPochhammer (r : R) (n : ℕ) :
(descPochhammer R n).eval r = (ascPochhammer R n).eval (r - n + 1) := by
induction n with
| zero => rw [descPochhammer_zero, eval_one, ascPochhammer_zero, eval_one]
| succ n ih =>
rw [Nat.cast_succ, sub_add, add_sub_cancel_right, descPochhammer_succ_eval, ih,
ascPochhammer_succ_left, X_mul, eval_mul_X, show (X + 1 : R[X]) =
(X + 1 : ℕ[X]).map (algebraMap ℕ R) by simp only [Polynomial.map_add, map_X,
Polynomial.map_one], ascPochhammer_eval_comp, eval₂_add, eval₂_X, eval₂_one]
theorem descPochhammer_mul (n m : ℕ) :
descPochhammer R n * (descPochhammer R m).comp (X - (n : R[X])) = descPochhammer R (n + m) := by
induction' m with m ih
· simp
· rw [descPochhammer_succ_right, Polynomial.mul_X_sub_intCast_comp, ← mul_assoc, ih,
← add_assoc, descPochhammer_succ_right, Nat.cast_add, sub_add_eq_sub_sub]
theorem ascPochhammer_eval_neg_eq_descPochhammer (r : R) : ∀ (k : ℕ),
(ascPochhammer R k).eval (-r) = (-1)^k * (descPochhammer R k).eval r
| | 0 => by
rw [ascPochhammer_zero, descPochhammer_zero]
simp only [eval_one, pow_zero, mul_one]
| (k+1) => by
rw [ascPochhammer_succ_right, mul_add, eval_add, eval_mul_X, ← Nat.cast_comm, eval_natCast_mul,
Nat.cast_comm, ← mul_add, ascPochhammer_eval_neg_eq_descPochhammer r k, mul_assoc,
| Mathlib/RingTheory/Polynomial/Pochhammer.lean | 359 | 364 |
/-
Copyright (c) 2022 Pierre-Alexandre Bazin. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Pierre-Alexandre Bazin
-/
import Mathlib.Algebra.DirectSum.Module
import Mathlib.Algebra.Module.ZMod
import Mathlib.GroupTheory.Torsion
import Mathlib.LinearAlgebra.Isomorphisms
import Mathlib.RingTheory.Coprime.Ideal
import Mathlib.RingTheory.Finiteness.Defs
import Mathlib.RingTheory.Ideal.Maps
import Mathlib.RingTheory.Ideal.Quotient.Defs
import Mathlib.RingTheory.SimpleModule.Basic
/-!
# Torsion submodules
## Main definitions
* `torsionOf R M x` : the torsion ideal of `x`, containing all `a` such that `a • x = 0`.
* `Submodule.torsionBy R M a` : the `a`-torsion submodule, containing all elements `x` of `M` such
that `a • x = 0`.
* `Submodule.torsionBySet R M s` : the submodule containing all elements `x` of `M` such that
`a • x = 0` for all `a` in `s`.
* `Submodule.torsion' R M S` : the `S`-torsion submodule, containing all elements `x` of `M` such
that `a • x = 0` for some `a` in `S`.
* `Submodule.torsion R M` : the torsion submodule, containing all elements `x` of `M` such that
`a • x = 0` for some non-zero-divisor `a` in `R`.
* `Module.IsTorsionBy R M a` : the property that defines an `a`-torsion module. Similarly,
`IsTorsionBySet`, `IsTorsion'` and `IsTorsion`.
* `Module.IsTorsionBySet.module` : Creates an `R ⧸ I`-module from an `R`-module that
`IsTorsionBySet R _ I`.
## Main statements
* `quot_torsionOf_equiv_span_singleton` : isomorphism between the span of an element of `M` and
the quotient by its torsion ideal.
* `torsion' R M S` and `torsion R M` are submodules.
* `torsionBySet_eq_torsionBySet_span` : torsion by a set is torsion by the ideal generated by it.
* `Submodule.torsionBy_is_torsionBy` : the `a`-torsion submodule is an `a`-torsion module.
Similar lemmas for `torsion'` and `torsion`.
* `Submodule.torsionBy_isInternal` : a `∏ i, p i`-torsion module is the internal direct sum of its
`p i`-torsion submodules when the `p i` are pairwise coprime. A more general version with coprime
ideals is `Submodule.torsionBySet_is_internal`.
* `Submodule.noZeroSMulDivisors_iff_torsion_bot` : a module over a domain has
`NoZeroSMulDivisors` (that is, there is no non-zero `a`, `x` such that `a • x = 0`)
iff its torsion submodule is trivial.
* `Submodule.QuotientTorsion.torsion_eq_bot` : quotienting by the torsion submodule makes the
torsion submodule of the new module trivial. If `R` is a domain, we can derive an instance
`Submodule.QuotientTorsion.noZeroSMulDivisors : NoZeroSMulDivisors R (M ⧸ torsion R M)`.
## Notation
* The notions are defined for a `CommSemiring R` and a `Module R M`. Some additional hypotheses on
`R` and `M` are required by some lemmas.
* The letters `a`, `b`, ... are used for scalars (in `R`), while `x`, `y`, ... are used for vectors
(in `M`).
## Tags
Torsion, submodule, module, quotient
-/
namespace Ideal
section TorsionOf
variable (R M : Type*) [Semiring R] [AddCommMonoid M] [Module R M]
/-- The torsion ideal of `x`, containing all `a` such that `a • x = 0`. -/
@[simps!]
def torsionOf (x : M) : Ideal R :=
-- Porting note (https://github.com/leanprover-community/mathlib4/issues/11036): broken dot notation on LinearMap.ker https://github.com/leanprover/lean4/issues/1629
LinearMap.ker (LinearMap.toSpanSingleton R M x)
@[simp]
theorem torsionOf_zero : torsionOf R M (0 : M) = ⊤ := by simp [torsionOf]
variable {R M}
@[simp]
theorem mem_torsionOf_iff (x : M) (a : R) : a ∈ torsionOf R M x ↔ a • x = 0 :=
Iff.rfl
variable (R)
@[simp]
theorem torsionOf_eq_top_iff (m : M) : torsionOf R M m = ⊤ ↔ m = 0 := by
refine ⟨fun h => ?_, fun h => by simp [h]⟩
rw [← one_smul R m, ← mem_torsionOf_iff m (1 : R), h]
exact Submodule.mem_top
@[simp]
theorem torsionOf_eq_bot_iff_of_noZeroSMulDivisors [Nontrivial R] [NoZeroSMulDivisors R M] (m : M) :
torsionOf R M m = ⊥ ↔ m ≠ 0 := by
refine ⟨fun h contra => ?_, fun h => (Submodule.eq_bot_iff _).mpr fun r hr => ?_⟩
· rw [contra, torsionOf_zero] at h
exact bot_ne_top.symm h
· rw [mem_torsionOf_iff, smul_eq_zero] at hr
tauto
/-- See also `iSupIndep.linearIndependent` which provides the same conclusion
but requires the stronger hypothesis `NoZeroSMulDivisors R M`. -/
theorem iSupIndep.linearIndependent' {ι R M : Type*} {v : ι → M} [Ring R]
[AddCommGroup M] [Module R M] (hv : iSupIndep fun i => R ∙ v i)
(h_ne_zero : ∀ i, Ideal.torsionOf R M (v i) = ⊥) : LinearIndependent R v := by
refine linearIndependent_iff_not_smul_mem_span.mpr fun i r hi => ?_
replace hv := iSupIndep_def.mp hv i
simp only [iSup_subtype', ← Submodule.span_range_eq_iSup (ι := Subtype _), disjoint_iff] at hv
have : r • v i ∈ (⊥ : Submodule R M) := by
rw [← hv, Submodule.mem_inf]
refine ⟨Submodule.mem_span_singleton.mpr ⟨r, rfl⟩, ?_⟩
convert hi
ext
simp
rw [← Submodule.mem_bot R, ← h_ne_zero i]
simpa using this
@[deprecated (since := "2024-11-24")]
alias CompleteLattice.Independent.linear_independent' := iSupIndep.linearIndependent'
end TorsionOf
section
variable (R M : Type*) [Ring R] [AddCommGroup M] [Module R M]
/-- The span of `x` in `M` is isomorphic to `R` quotiented by the torsion ideal of `x`. -/
noncomputable def quotTorsionOfEquivSpanSingleton (x : M) : (R ⧸ torsionOf R M x) ≃ₗ[R] R ∙ x :=
(LinearMap.toSpanSingleton R M x).quotKerEquivRange.trans <|
LinearEquiv.ofEq _ _ (LinearMap.span_singleton_eq_range R M x).symm
variable {R M}
@[simp]
theorem quotTorsionOfEquivSpanSingleton_apply_mk (x : M) (a : R) :
quotTorsionOfEquivSpanSingleton R M x (Submodule.Quotient.mk a) =
a • ⟨x, Submodule.mem_span_singleton_self x⟩ :=
rfl
end
end Ideal
open nonZeroDivisors
section Defs
namespace Submodule
variable (R M : Type*) [CommSemiring R] [AddCommMonoid M] [Module R M]
-- TODO: generalize to `Submodule S M` with `SMulCommClass R S M`.
/-- The `a`-torsion submodule for `a` in `R`, containing all elements `x` of `M` such that
`a • x = 0`. -/
@[simps!]
def torsionBy (a : R) : Submodule R M :=
-- Porting note (https://github.com/leanprover-community/mathlib4/issues/11036): broken dot notation on LinearMap.ker https://github.com/leanprover/lean4/issues/1629
LinearMap.ker (DistribMulAction.toLinearMap R M a)
/-- The submodule containing all elements `x` of `M` such that `a • x = 0` for all `a` in `s`. -/
@[simps!]
def torsionBySet (s : Set R) : Submodule R M :=
sInf (torsionBy R M '' s)
/-- The `S`-torsion submodule, containing all elements `x` of `M` such that `a • x = 0` for some
`a` in `S`. -/
@[simps!]
def torsion' (S : Type*) [CommMonoid S] [DistribMulAction S M] [SMulCommClass S R M] :
Submodule R M where
carrier := { x | ∃ a : S, a • x = 0 }
add_mem' := by
intro x y ⟨a,hx⟩ ⟨b,hy⟩
use b * a
rw [smul_add, mul_smul, mul_comm, mul_smul, hx, hy, smul_zero, smul_zero, add_zero]
zero_mem' := ⟨1, smul_zero 1⟩
smul_mem' := fun a x ⟨b, h⟩ => ⟨b, by rw [smul_comm, h, smul_zero]⟩
/-- The torsion submodule, containing all elements `x` of `M` such that `a • x = 0` for some
non-zero-divisor `a` in `R`. -/
abbrev torsion :=
torsion' R M R⁰
end Submodule
namespace Module
variable (R M : Type*) [Semiring R] [AddCommMonoid M] [Module R M]
/-- An `a`-torsion module is a module where every element is `a`-torsion. -/
abbrev IsTorsionBy (a : R) :=
∀ ⦃x : M⦄, a • x = 0
/-- A module where every element is `a`-torsion for all `a` in `s`. -/
abbrev IsTorsionBySet (s : Set R) :=
∀ ⦃x : M⦄ ⦃a : s⦄, (a : R) • x = 0
/-- An `S`-torsion module is a module where every element is `a`-torsion for some `a` in `S`. -/
abbrev IsTorsion' (S : Type*) [SMul S M] :=
∀ ⦃x : M⦄, ∃ a : S, a • x = 0
/-- A torsion module is a module where every element is `a`-torsion for some non-zero-divisor `a`.
-/
abbrev IsTorsion :=
∀ ⦃x : M⦄, ∃ a : R⁰, a • x = 0
theorem isTorsionBySet_annihilator : IsTorsionBySet R M (annihilator R M) :=
fun _ r ↦ Module.mem_annihilator.mp r.2 _
theorem isTorsionBy_iff_mem_annihilator {a : R} :
IsTorsionBy R M a ↔ a ∈ annihilator R M := by
rw [IsTorsionBy, mem_annihilator]
theorem isTorsionBySet_iff_subset_annihilator {s : Set R} :
IsTorsionBySet R M s ↔ s ⊆ annihilator R M := by
simp_rw [IsTorsionBySet, Set.subset_def, SetLike.mem_coe, mem_annihilator]
rw [forall_comm, SetCoe.forall]
end Module
end Defs
lemma isSMulRegular_iff_torsionBy_eq_bot {R} (M : Type*)
[CommRing R] [AddCommGroup M] [Module R M] (r : R) :
IsSMulRegular M r ↔ Submodule.torsionBy R M r = ⊥ :=
Iff.symm (DistribMulAction.toLinearMap R M r).ker_eq_bot
variable {R M : Type*}
section
namespace Submodule
variable [CommSemiring R] [AddCommMonoid M] [Module R M] (s : Set R) (a : R)
@[simp]
theorem smul_torsionBy (x : torsionBy R M a) : a • x = 0 :=
Subtype.ext x.prop
@[simp]
theorem smul_coe_torsionBy (x : torsionBy R M a) : a • (x : M) = 0 :=
x.prop
@[simp]
theorem mem_torsionBy_iff (x : M) : x ∈ torsionBy R M a ↔ a • x = 0 :=
Iff.rfl
@[simp]
theorem mem_torsionBySet_iff (x : M) : x ∈ torsionBySet R M s ↔ ∀ a : s, (a : R) • x = 0 := by
refine ⟨fun h ⟨a, ha⟩ => mem_sInf.mp h _ (Set.mem_image_of_mem _ ha), fun h => mem_sInf.mpr ?_⟩
rintro _ ⟨a, ha, rfl⟩; exact h ⟨a, ha⟩
@[simp]
theorem torsionBySet_singleton_eq : torsionBySet R M {a} = torsionBy R M a := by
ext x
simp only [mem_torsionBySet_iff, SetCoe.forall, Subtype.coe_mk, Set.mem_singleton_iff,
forall_eq, mem_torsionBy_iff]
theorem torsionBySet_le_torsionBySet_of_subset {s t : Set R} (st : s ⊆ t) :
torsionBySet R M t ≤ torsionBySet R M s :=
sInf_le_sInf fun _ ⟨a, ha, h⟩ => ⟨a, st ha, h⟩
/-- Torsion by a set is torsion by the ideal generated by it. -/
theorem torsionBySet_eq_torsionBySet_span :
torsionBySet R M s = torsionBySet R M (Ideal.span s) := by
refine le_antisymm (fun x hx => ?_) (torsionBySet_le_torsionBySet_of_subset subset_span)
rw [mem_torsionBySet_iff] at hx ⊢
| suffices Ideal.span s ≤ Ideal.torsionOf R M x by
rintro ⟨a, ha⟩
exact this ha
rw [Ideal.span_le]
| Mathlib/Algebra/Module/Torsion.lean | 269 | 272 |
/-
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, Kim Morrison, Jens Wagemaker, Johan Commelin
-/
import Mathlib.Algebra.Polynomial.BigOperators
import Mathlib.Algebra.Polynomial.RingDivision
import Mathlib.Data.Set.Finite.Lemmas
import Mathlib.RingTheory.Coprime.Lemmas
import Mathlib.RingTheory.Localization.FractionRing
import Mathlib.SetTheory.Cardinal.Order
/-!
# Theory of univariate polynomials
We define the multiset of roots of a polynomial, and prove basic results about it.
## Main definitions
* `Polynomial.roots p`: The multiset containing all the roots of `p`, including their
multiplicities.
* `Polynomial.rootSet p E`: The set of distinct roots of `p` in an algebra `E`.
## Main statements
* `Polynomial.C_leadingCoeff_mul_prod_multiset_X_sub_C`: If a polynomial has as many roots as its
degree, it can be written as the product of its leading coefficient with `∏ (X - a)` where `a`
ranges through its roots.
-/
assert_not_exists Ideal
open Multiset Finset
noncomputable section
namespace Polynomial
universe u v w z
variable {R : Type u} {S : Type v} {T : Type w} {a b : R} {n : ℕ}
section CommRing
variable [CommRing R] [IsDomain R] {p q : R[X]}
section Roots
/-- `roots p` noncomputably gives a multiset containing all the roots of `p`,
including their multiplicities. -/
noncomputable def roots (p : R[X]) : Multiset R :=
haveI := Classical.decEq R
haveI := Classical.dec (p = 0)
if h : p = 0 then ∅ else Classical.choose (exists_multiset_roots h)
theorem roots_def [DecidableEq R] (p : R[X]) [Decidable (p = 0)] :
p.roots = if h : p = 0 then ∅ else Classical.choose (exists_multiset_roots h) := by
rename_i iR ip0
obtain rfl := Subsingleton.elim iR (Classical.decEq R)
obtain rfl := Subsingleton.elim ip0 (Classical.dec (p = 0))
rfl
@[simp]
theorem roots_zero : (0 : R[X]).roots = 0 :=
dif_pos rfl
theorem card_roots (hp0 : p ≠ 0) : (Multiset.card (roots p) : WithBot ℕ) ≤ degree p := by
classical
unfold roots
rw [dif_neg hp0]
exact (Classical.choose_spec (exists_multiset_roots hp0)).1
theorem card_roots' (p : R[X]) : Multiset.card p.roots ≤ natDegree p := by
by_cases hp0 : p = 0
· simp [hp0]
exact WithBot.coe_le_coe.1 (le_trans (card_roots hp0) (le_of_eq <| degree_eq_natDegree hp0))
theorem card_roots_sub_C {p : R[X]} {a : R} (hp0 : 0 < degree p) :
(Multiset.card (p - C a).roots : WithBot ℕ) ≤ degree p :=
calc
(Multiset.card (p - C a).roots : WithBot ℕ) ≤ degree (p - C a) :=
card_roots <| mt sub_eq_zero.1 fun h => not_le_of_gt hp0 <| h.symm ▸ degree_C_le
_ = degree p := by rw [sub_eq_add_neg, ← C_neg]; exact degree_add_C hp0
theorem card_roots_sub_C' {p : R[X]} {a : R} (hp0 : 0 < degree p) :
Multiset.card (p - C a).roots ≤ natDegree p :=
WithBot.coe_le_coe.1
(le_trans (card_roots_sub_C hp0)
(le_of_eq <| degree_eq_natDegree fun h => by simp_all [lt_irrefl]))
@[simp]
theorem count_roots [DecidableEq R] (p : R[X]) : p.roots.count a = rootMultiplicity a p := by
classical
by_cases hp : p = 0
· simp [hp]
rw [roots_def, dif_neg hp]
exact (Classical.choose_spec (exists_multiset_roots hp)).2 a
@[simp]
theorem mem_roots' : a ∈ p.roots ↔ p ≠ 0 ∧ IsRoot p a := by
classical
rw [← count_pos, count_roots p, rootMultiplicity_pos']
theorem mem_roots (hp : p ≠ 0) : a ∈ p.roots ↔ IsRoot p a :=
mem_roots'.trans <| and_iff_right hp
theorem ne_zero_of_mem_roots (h : a ∈ p.roots) : p ≠ 0 :=
(mem_roots'.1 h).1
theorem isRoot_of_mem_roots (h : a ∈ p.roots) : IsRoot p a :=
(mem_roots'.1 h).2
theorem mem_roots_map_of_injective [Semiring S] {p : S[X]} {f : S →+* R}
(hf : Function.Injective f) {x : R} (hp : p ≠ 0) : x ∈ (p.map f).roots ↔ p.eval₂ f x = 0 := by
rw [mem_roots ((Polynomial.map_ne_zero_iff hf).mpr hp), IsRoot, eval_map]
lemma mem_roots_iff_aeval_eq_zero {x : R} (w : p ≠ 0) : x ∈ roots p ↔ aeval x p = 0 := by
rw [aeval_def, ← mem_roots_map_of_injective (FaithfulSMul.algebraMap_injective _ _) w,
Algebra.id.map_eq_id, map_id]
theorem card_le_degree_of_subset_roots {p : R[X]} {Z : Finset R} (h : Z.val ⊆ p.roots) :
#Z ≤ p.natDegree :=
(Multiset.card_le_card (Finset.val_le_iff_val_subset.2 h)).trans (Polynomial.card_roots' p)
theorem finite_setOf_isRoot {p : R[X]} (hp : p ≠ 0) : Set.Finite { x | IsRoot p x } := by
classical
simpa only [← Finset.setOf_mem, Multiset.mem_toFinset, mem_roots hp]
using p.roots.toFinset.finite_toSet
theorem eq_zero_of_infinite_isRoot (p : R[X]) (h : Set.Infinite { x | IsRoot p x }) : p = 0 :=
not_imp_comm.mp finite_setOf_isRoot h
theorem exists_max_root [LinearOrder R] (p : R[X]) (hp : p ≠ 0) : ∃ x₀, ∀ x, p.IsRoot x → x ≤ x₀ :=
Set.exists_upper_bound_image _ _ <| finite_setOf_isRoot hp
theorem exists_min_root [LinearOrder R] (p : R[X]) (hp : p ≠ 0) : ∃ x₀, ∀ x, p.IsRoot x → x₀ ≤ x :=
Set.exists_lower_bound_image _ _ <| finite_setOf_isRoot hp
theorem eq_of_infinite_eval_eq (p q : R[X]) (h : Set.Infinite { x | eval x p = eval x q }) :
p = q := by
rw [← sub_eq_zero]
apply eq_zero_of_infinite_isRoot
simpa only [IsRoot, eval_sub, sub_eq_zero]
theorem roots_mul {p q : R[X]} (hpq : p * q ≠ 0) : (p * q).roots = p.roots + q.roots := by
classical
exact Multiset.ext.mpr fun r => by
rw [count_add, count_roots, count_roots, count_roots, rootMultiplicity_mul hpq]
theorem roots.le_of_dvd (h : q ≠ 0) : p ∣ q → roots p ≤ roots q := by
rintro ⟨k, rfl⟩
exact Multiset.le_iff_exists_add.mpr ⟨k.roots, roots_mul h⟩
theorem mem_roots_sub_C' {p : R[X]} {a x : R} : x ∈ (p - C a).roots ↔ p ≠ C a ∧ p.eval x = a := by
rw [mem_roots', IsRoot.def, sub_ne_zero, eval_sub, sub_eq_zero, eval_C]
theorem mem_roots_sub_C {p : R[X]} {a x : R} (hp0 : 0 < degree p) :
x ∈ (p - C a).roots ↔ p.eval x = a :=
mem_roots_sub_C'.trans <| and_iff_right fun hp => hp0.not_le <| hp.symm ▸ degree_C_le
@[simp]
theorem roots_X_sub_C (r : R) : roots (X - C r) = {r} := by
classical
ext s
rw [count_roots, rootMultiplicity_X_sub_C, count_singleton]
@[simp]
theorem roots_X_add_C (r : R) : roots (X + C r) = {-r} := by simpa using roots_X_sub_C (-r)
@[simp]
theorem roots_X : roots (X : R[X]) = {0} := by rw [← roots_X_sub_C, C_0, sub_zero]
@[simp]
theorem roots_C (x : R) : (C x).roots = 0 := by
classical exact
if H : x = 0 then by rw [H, C_0, roots_zero]
else
Multiset.ext.mpr fun r => (by
rw [count_roots, count_zero, rootMultiplicity_eq_zero (not_isRoot_C _ _ H)])
@[simp]
theorem roots_one : (1 : R[X]).roots = ∅ :=
roots_C 1
@[simp]
theorem roots_C_mul (p : R[X]) (ha : a ≠ 0) : (C a * p).roots = p.roots := by
by_cases hp : p = 0 <;>
simp only [roots_mul, *, Ne, mul_eq_zero, C_eq_zero, or_self_iff, not_false_iff, roots_C,
zero_add, mul_zero]
@[simp]
theorem roots_smul_nonzero (p : R[X]) (ha : a ≠ 0) : (a • p).roots = p.roots := by
rw [smul_eq_C_mul, roots_C_mul _ ha]
@[simp]
lemma roots_neg (p : R[X]) : (-p).roots = p.roots := by
rw [← neg_one_smul R p, roots_smul_nonzero p (neg_ne_zero.mpr one_ne_zero)]
@[simp]
theorem roots_C_mul_X_sub_C_of_IsUnit (b : R) (a : Rˣ) : (C (a : R) * X - C b).roots =
{a⁻¹ * b} := by
rw [← roots_C_mul _ (Units.ne_zero a⁻¹), mul_sub, ← mul_assoc, ← C_mul, ← C_mul,
Units.inv_mul, C_1, one_mul]
exact roots_X_sub_C (a⁻¹ * b)
@[simp]
theorem roots_C_mul_X_add_C_of_IsUnit (b : R) (a : Rˣ) : (C (a : R) * X + C b).roots =
{-(a⁻¹ * b)} := by
rw [← sub_neg_eq_add, ← C_neg, roots_C_mul_X_sub_C_of_IsUnit, mul_neg]
theorem roots_list_prod (L : List R[X]) :
(0 : R[X]) ∉ L → L.prod.roots = (L : Multiset R[X]).bind roots :=
List.recOn L (fun _ => roots_one) fun hd tl ih H => by
rw [List.mem_cons, not_or] at H
rw [List.prod_cons, roots_mul (mul_ne_zero (Ne.symm H.1) <| List.prod_ne_zero H.2), ←
Multiset.cons_coe, Multiset.cons_bind, ih H.2]
theorem roots_multiset_prod (m : Multiset R[X]) : (0 : R[X]) ∉ m → m.prod.roots = m.bind roots := by
rcases m with ⟨L⟩
simpa only [Multiset.prod_coe, quot_mk_to_coe''] using roots_list_prod L
theorem roots_prod {ι : Type*} (f : ι → R[X]) (s : Finset ι) :
s.prod f ≠ 0 → (s.prod f).roots = s.val.bind fun i => roots (f i) := by
rcases s with ⟨m, hm⟩
simpa [Multiset.prod_eq_zero_iff, Multiset.bind_map] using roots_multiset_prod (m.map f)
@[simp]
theorem roots_pow (p : R[X]) (n : ℕ) : (p ^ n).roots = n • p.roots := by
induction n with
| zero => rw [pow_zero, roots_one, zero_smul, empty_eq_zero]
| succ n ihn =>
rcases eq_or_ne p 0 with (rfl | hp)
· rw [zero_pow n.succ_ne_zero, roots_zero, smul_zero]
· rw [pow_succ, roots_mul (mul_ne_zero (pow_ne_zero _ hp) hp), ihn, add_smul, one_smul]
theorem roots_X_pow (n : ℕ) : (X ^ n : R[X]).roots = n • ({0} : Multiset R) := by
rw [roots_pow, roots_X]
theorem roots_C_mul_X_pow (ha : a ≠ 0) (n : ℕ) :
Polynomial.roots (C a * X ^ n) = n • ({0} : Multiset R) := by
rw [roots_C_mul _ ha, roots_X_pow]
@[simp]
theorem roots_monomial (ha : a ≠ 0) (n : ℕ) : (monomial n a).roots = n • ({0} : Multiset R) := by
rw [← C_mul_X_pow_eq_monomial, roots_C_mul_X_pow ha]
theorem roots_prod_X_sub_C (s : Finset R) : (s.prod fun a => X - C a).roots = s.val := by
apply (roots_prod (fun a => X - C a) s ?_).trans
· simp_rw [roots_X_sub_C]
rw [Multiset.bind_singleton, Multiset.map_id']
· refine prod_ne_zero_iff.mpr (fun a _ => X_sub_C_ne_zero a)
@[simp]
theorem roots_multiset_prod_X_sub_C (s : Multiset R) : (s.map fun a => X - C a).prod.roots = s := by
rw [roots_multiset_prod, Multiset.bind_map]
· simp_rw [roots_X_sub_C]
rw [Multiset.bind_singleton, Multiset.map_id']
· rw [Multiset.mem_map]
rintro ⟨a, -, h⟩
exact X_sub_C_ne_zero a h
theorem card_roots_X_pow_sub_C {n : ℕ} (hn : 0 < n) (a : R) :
Multiset.card (roots ((X : R[X]) ^ n - C a)) ≤ n :=
WithBot.coe_le_coe.1 <|
calc
(Multiset.card (roots ((X : R[X]) ^ n - C a)) : WithBot ℕ) ≤ degree ((X : R[X]) ^ n - C a) :=
card_roots (X_pow_sub_C_ne_zero hn a)
_ = n := degree_X_pow_sub_C hn a
section NthRoots
/-- `nthRoots n a` noncomputably returns the solutions to `x ^ n = a`. -/
def nthRoots (n : ℕ) (a : R) : Multiset R :=
roots ((X : R[X]) ^ n - C a)
@[simp]
theorem mem_nthRoots {n : ℕ} (hn : 0 < n) {a x : R} : x ∈ nthRoots n a ↔ x ^ n = a := by
rw [nthRoots, mem_roots (X_pow_sub_C_ne_zero hn a), IsRoot.def, eval_sub, eval_C, eval_pow,
eval_X, sub_eq_zero]
@[simp]
theorem nthRoots_zero (r : R) : nthRoots 0 r = 0 := by
simp only [empty_eq_zero, pow_zero, nthRoots, ← C_1, ← C_sub, roots_C]
@[simp]
theorem nthRoots_zero_right {R} [CommRing R] [IsDomain R] (n : ℕ) :
nthRoots n (0 : R) = Multiset.replicate n 0 := by
rw [nthRoots, C.map_zero, sub_zero, roots_pow, roots_X, Multiset.nsmul_singleton]
theorem card_nthRoots (n : ℕ) (a : R) : Multiset.card (nthRoots n a) ≤ n := by
classical exact
(if hn : n = 0 then
if h : (X : R[X]) ^ n - C a = 0 then by
simp [Nat.zero_le, nthRoots, roots, h, dif_pos rfl, empty_eq_zero, Multiset.card_zero]
else
WithBot.coe_le_coe.1
(le_trans (card_roots h)
(by
rw [hn, pow_zero, ← C_1, ← RingHom.map_sub]
exact degree_C_le))
else by
rw [← Nat.cast_le (α := WithBot ℕ)]
rw [← degree_X_pow_sub_C (Nat.pos_of_ne_zero hn) a]
exact card_roots (X_pow_sub_C_ne_zero (Nat.pos_of_ne_zero hn) a))
@[simp]
theorem nthRoots_two_eq_zero_iff {r : R} : nthRoots 2 r = 0 ↔ ¬IsSquare r := by
simp_rw [isSquare_iff_exists_sq, eq_zero_iff_forall_not_mem, mem_nthRoots (by norm_num : 0 < 2),
← not_exists, eq_comm]
/-- The multiset `nthRoots ↑n a` as a Finset. Previously `nthRootsFinset n` was defined to be
`nthRoots n (1 : R)` as a Finset. That situation can be recovered by setting `a` to be `(1 : R)` -/
def nthRootsFinset (n : ℕ) {R : Type*} (a : R) [CommRing R] [IsDomain R] : Finset R :=
haveI := Classical.decEq R
Multiset.toFinset (nthRoots n a)
lemma nthRootsFinset_def (n : ℕ) {R : Type*} (a : R) [CommRing R] [IsDomain R] [DecidableEq R] :
nthRootsFinset n a = Multiset.toFinset (nthRoots n a) := by
unfold nthRootsFinset
convert rfl
@[simp]
theorem mem_nthRootsFinset {n : ℕ} (h : 0 < n) (a : R) {x : R} :
x ∈ nthRootsFinset n a ↔ x ^ (n : ℕ) = a := by
classical
rw [nthRootsFinset_def, mem_toFinset, mem_nthRoots h]
@[simp]
theorem nthRootsFinset_zero (a : R) : nthRootsFinset 0 a = ∅ := by
classical simp [nthRootsFinset_def]
theorem map_mem_nthRootsFinset {S F : Type*} [CommRing S] [IsDomain S] [FunLike F R S]
[MonoidHomClass F R S] {a : R} {x : R} (hx : x ∈ nthRootsFinset n a) (f : F) :
f x ∈ nthRootsFinset n (f a) := by
by_cases hn : n = 0
· simp [hn] at hx
· rw [mem_nthRootsFinset <| Nat.pos_of_ne_zero hn, ← map_pow, (mem_nthRootsFinset
(Nat.pos_of_ne_zero hn) a).1 hx]
theorem map_mem_nthRootsFinset_one {S F : Type*} [CommRing S] [IsDomain S] [FunLike F R S]
[RingHomClass F R S] {x : R} (hx : x ∈ nthRootsFinset n 1) (f : F) :
f x ∈ nthRootsFinset n 1 := by
rw [← (map_one f)]
exact map_mem_nthRootsFinset hx _
theorem mul_mem_nthRootsFinset
{η₁ η₂ : R} {a₁ a₂ : R} (hη₁ : η₁ ∈ nthRootsFinset n a₁) (hη₂ : η₂ ∈ nthRootsFinset n a₂) :
η₁ * η₂ ∈ nthRootsFinset n (a₁ * a₂) := by
cases n with
| zero =>
simp only [nthRootsFinset_zero, not_mem_empty] at hη₁
| succ n =>
rw [mem_nthRootsFinset n.succ_pos] at hη₁ hη₂ ⊢
rw [mul_pow, hη₁, hη₂]
theorem ne_zero_of_mem_nthRootsFinset {η : R} {a : R} (ha : a ≠ 0) (hη : η ∈ nthRootsFinset n a) :
η ≠ 0 := by
nontriviality R
rintro rfl
cases n with
| zero =>
simp only [nthRootsFinset_zero, not_mem_empty] at hη
| succ n =>
rw [mem_nthRootsFinset n.succ_pos, zero_pow n.succ_ne_zero] at hη
exact ha hη.symm
theorem one_mem_nthRootsFinset (hn : 0 < n) : 1 ∈ nthRootsFinset n (1 : R) := by
rw [mem_nthRootsFinset hn, one_pow]
end NthRoots
theorem zero_of_eval_zero [Infinite R] (p : R[X]) (h : ∀ x, p.eval x = 0) : p = 0 := by
classical
by_contra hp
refine @Fintype.false R _ ?_
exact ⟨p.roots.toFinset, fun x => Multiset.mem_toFinset.mpr ((mem_roots hp).mpr (h _))⟩
theorem funext [Infinite R] {p q : R[X]} (ext : ∀ r : R, p.eval r = q.eval r) : p = q := by
rw [← sub_eq_zero]
apply zero_of_eval_zero
intro x
rw [eval_sub, sub_eq_zero, ext]
variable [CommRing T]
/-- Given a polynomial `p` with coefficients in a ring `T` and a `T`-algebra `S`, `aroots p S` is
the multiset of roots of `p` regarded as a polynomial over `S`. -/
noncomputable abbrev aroots (p : T[X]) (S) [CommRing S] [IsDomain S] [Algebra T S] : Multiset S :=
(p.map (algebraMap T S)).roots
theorem aroots_def (p : T[X]) (S) [CommRing S] [IsDomain S] [Algebra T S] :
p.aroots S = (p.map (algebraMap T S)).roots :=
rfl
theorem mem_aroots' [CommRing S] [IsDomain S] [Algebra T S] {p : T[X]} {a : S} :
a ∈ p.aroots S ↔ p.map (algebraMap T S) ≠ 0 ∧ aeval a p = 0 := by
rw [mem_roots', IsRoot.def, ← eval₂_eq_eval_map, aeval_def]
theorem mem_aroots [CommRing S] [IsDomain S] [Algebra T S]
[NoZeroSMulDivisors T S] {p : T[X]} {a : S} : a ∈ p.aroots S ↔ p ≠ 0 ∧ aeval a p = 0 := by
rw [mem_aroots', Polynomial.map_ne_zero_iff]
exact FaithfulSMul.algebraMap_injective T S
theorem aroots_mul [CommRing S] [IsDomain S] [Algebra T S]
[NoZeroSMulDivisors T S] {p q : T[X]} (hpq : p * q ≠ 0) :
(p * q).aroots S = p.aroots S + q.aroots S := by
suffices map (algebraMap T S) p * map (algebraMap T S) q ≠ 0 by
rw [aroots_def, Polynomial.map_mul, roots_mul this]
rwa [← Polynomial.map_mul, Polynomial.map_ne_zero_iff
(FaithfulSMul.algebraMap_injective T S)]
@[simp]
theorem aroots_X_sub_C [CommRing S] [IsDomain S] [Algebra T S]
(r : T) : aroots (X - C r) S = {algebraMap T S r} := by
rw [aroots_def, Polynomial.map_sub, map_X, map_C, roots_X_sub_C]
@[simp]
theorem aroots_X [CommRing S] [IsDomain S] [Algebra T S] :
aroots (X : T[X]) S = {0} := by
rw [aroots_def, map_X, roots_X]
@[simp]
theorem aroots_C [CommRing S] [IsDomain S] [Algebra T S] (a : T) : (C a).aroots S = 0 := by
rw [aroots_def, map_C, roots_C]
@[simp]
theorem aroots_zero (S) [CommRing S] [IsDomain S] [Algebra T S] : (0 : T[X]).aroots S = 0 := by
rw [← C_0, aroots_C]
@[simp]
theorem aroots_one [CommRing S] [IsDomain S] [Algebra T S] :
(1 : T[X]).aroots S = 0 :=
aroots_C 1
@[simp]
theorem aroots_neg [CommRing S] [IsDomain S] [Algebra T S] (p : T[X]) :
(-p).aroots S = p.aroots S := by
rw [aroots, Polynomial.map_neg, roots_neg]
@[simp]
theorem aroots_C_mul [CommRing S] [IsDomain S] [Algebra T S]
[NoZeroSMulDivisors T S] {a : T} (p : T[X]) (ha : a ≠ 0) :
(C a * p).aroots S = p.aroots S := by
rw [aroots_def, Polynomial.map_mul, map_C, roots_C_mul]
rwa [map_ne_zero_iff]
exact FaithfulSMul.algebraMap_injective T S
@[simp]
theorem aroots_smul_nonzero [CommRing S] [IsDomain S] [Algebra T S]
| [NoZeroSMulDivisors T S] {a : T} (p : T[X]) (ha : a ≠ 0) :
(a • p).aroots S = p.aroots S := by
| Mathlib/Algebra/Polynomial/Roots.lean | 451 | 452 |
/-
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.Subalgebra
import Mathlib.LinearAlgebra.Finsupp.Span
/-!
# Lie submodules of a Lie algebra
In this file we define Lie submodules, we construct the lattice structure on Lie submodules and we
use it to define various important operations, notably the Lie span of a subset of a Lie module.
## Main definitions
* `LieSubmodule`
* `LieSubmodule.wellFounded_of_noetherian`
* `LieSubmodule.lieSpan`
* `LieSubmodule.map`
* `LieSubmodule.comap`
## Tags
lie algebra, lie submodule, lie ideal, lattice structure
-/
universe u v w w₁ w₂
section LieSubmodule
variable (R : Type u) (L : Type v) (M : Type w)
variable [CommRing R] [LieRing L] [AddCommGroup M] [Module R M]
variable [LieRingModule L M]
/-- A Lie submodule of a Lie module is a submodule that is closed under the Lie bracket.
This is a sufficient condition for the subset itself to form a Lie module. -/
structure LieSubmodule extends Submodule R M where
lie_mem : ∀ {x : L} {m : M}, m ∈ carrier → ⁅x, m⁆ ∈ carrier
attribute [nolint docBlame] LieSubmodule.toSubmodule
attribute [coe] LieSubmodule.toSubmodule
namespace LieSubmodule
variable {R L M}
variable (N N' : LieSubmodule R L M)
instance : SetLike (LieSubmodule R L M) M where
coe s := s.carrier
coe_injective' N O h := by cases N; cases O; congr; exact SetLike.coe_injective' h
instance : AddSubgroupClass (LieSubmodule R L M) M where
add_mem {N} _ _ := N.add_mem'
zero_mem N := N.zero_mem'
neg_mem {N} x hx := show -x ∈ N.toSubmodule from neg_mem hx
instance instSMulMemClass : SMulMemClass (LieSubmodule R L M) R M where
smul_mem {s} c _ h := s.smul_mem' c h
/-- The zero module is a Lie submodule of any Lie module. -/
instance : Zero (LieSubmodule R L M) :=
⟨{ (0 : Submodule R M) with
lie_mem := fun {x m} h ↦ by rw [(Submodule.mem_bot R).1 h]; apply lie_zero }⟩
instance : Inhabited (LieSubmodule R L M) :=
⟨0⟩
instance (priority := high) coeSort : CoeSort (LieSubmodule R L M) (Type w) where
coe N := { x : M // x ∈ N }
instance (priority := mid) coeSubmodule : CoeOut (LieSubmodule R L M) (Submodule R M) :=
⟨toSubmodule⟩
instance : CanLift (Submodule R M) (LieSubmodule R L M) (·)
(fun N ↦ ∀ {x : L} {m : M}, m ∈ N → ⁅x, m⁆ ∈ N) where
prf N hN := ⟨⟨N, hN⟩, rfl⟩
@[norm_cast]
theorem coe_toSubmodule : ((N : Submodule R M) : Set M) = N :=
rfl
theorem mem_carrier {x : M} : x ∈ N.carrier ↔ x ∈ (N : Set M) :=
Iff.rfl
theorem mem_mk_iff (S : Set M) (h₁ h₂ h₃ h₄) {x : M} :
x ∈ (⟨⟨⟨⟨S, h₁⟩, h₂⟩, h₃⟩, h₄⟩ : LieSubmodule R L M) ↔ x ∈ S :=
Iff.rfl
@[simp]
theorem mem_mk_iff' (p : Submodule R M) (h) {x : M} :
x ∈ (⟨p, h⟩ : LieSubmodule R L M) ↔ x ∈ p :=
Iff.rfl
@[simp]
theorem mem_toSubmodule {x : M} : x ∈ (N : Submodule R M) ↔ x ∈ N :=
Iff.rfl
@[deprecated (since := "2024-12-30")] alias mem_coeSubmodule := mem_toSubmodule
theorem mem_coe {x : M} : x ∈ (N : Set M) ↔ x ∈ N :=
Iff.rfl
@[simp]
protected theorem zero_mem : (0 : M) ∈ N :=
zero_mem N
@[simp]
theorem mk_eq_zero {x} (h : x ∈ N) : (⟨x, h⟩ : N) = 0 ↔ x = 0 :=
Subtype.ext_iff_val
@[simp]
theorem coe_toSet_mk (S : Set M) (h₁ h₂ h₃ h₄) :
((⟨⟨⟨⟨S, h₁⟩, h₂⟩, h₃⟩, h₄⟩ : LieSubmodule R L M) : Set M) = S :=
rfl
theorem toSubmodule_mk (p : Submodule R M) (h) :
(({ p with lie_mem := h } : LieSubmodule R L M) : Submodule R M) = p := by cases p; rfl
@[deprecated (since := "2024-12-30")] alias coe_toSubmodule_mk := toSubmodule_mk
theorem toSubmodule_injective :
Function.Injective (toSubmodule : LieSubmodule R L M → Submodule R M) := fun x y h ↦ by
cases x; cases y; congr
@[deprecated (since := "2024-12-30")] alias coeSubmodule_injective := toSubmodule_injective
@[ext]
theorem ext (h : ∀ m, m ∈ N ↔ m ∈ N') : N = N' :=
SetLike.ext h
@[simp]
theorem toSubmodule_inj : (N : Submodule R M) = (N' : Submodule R M) ↔ N = N' :=
toSubmodule_injective.eq_iff
@[deprecated (since := "2024-12-30")] alias coe_toSubmodule_inj := toSubmodule_inj
@[deprecated (since := "2024-12-29")] alias toSubmodule_eq_iff := toSubmodule_inj
/-- Copy of a `LieSubmodule` with a new `carrier` equal to the old one. Useful to fix definitional
equalities. -/
protected def copy (s : Set M) (hs : s = ↑N) : LieSubmodule R L M where
carrier := s
zero_mem' := by simp [hs]
add_mem' x y := by rw [hs] at x y ⊢; exact N.add_mem' x y
smul_mem' := by exact hs.symm ▸ N.smul_mem'
lie_mem := by exact hs.symm ▸ N.lie_mem
@[simp]
theorem coe_copy (S : LieSubmodule R L M) (s : Set M) (hs : s = ↑S) : (S.copy s hs : Set M) = s :=
rfl
theorem copy_eq (S : LieSubmodule R L M) (s : Set M) (hs : s = ↑S) : S.copy s hs = S :=
SetLike.coe_injective hs
instance : LieRingModule L N where
bracket (x : L) (m : N) := ⟨⁅x, m.val⁆, N.lie_mem m.property⟩
add_lie := by intro x y m; apply SetCoe.ext; apply add_lie
lie_add := by intro x m n; apply SetCoe.ext; apply lie_add
leibniz_lie := by intro x y m; apply SetCoe.ext; apply leibniz_lie
@[simp, norm_cast]
theorem coe_zero : ((0 : N) : M) = (0 : M) :=
rfl
@[simp, norm_cast]
theorem coe_add (m m' : N) : (↑(m + m') : M) = (m : M) + (m' : M) :=
rfl
@[simp, norm_cast]
theorem coe_neg (m : N) : (↑(-m) : M) = -(m : M) :=
rfl
@[simp, norm_cast]
theorem coe_sub (m m' : N) : (↑(m - m') : M) = (m : M) - (m' : M) :=
rfl
@[simp, norm_cast]
theorem coe_smul (t : R) (m : N) : (↑(t • m) : M) = t • (m : M) :=
rfl
@[simp, norm_cast]
theorem coe_bracket (x : L) (m : N) :
(↑⁅x, m⁆ : M) = ⁅x, ↑m⁆ :=
rfl
-- Copying instances from `Submodule` for correct discrimination keys
instance [IsNoetherian R M] (N : LieSubmodule R L M) : IsNoetherian R N :=
inferInstanceAs <| IsNoetherian R N.toSubmodule
instance [IsArtinian R M] (N : LieSubmodule R L M) : IsArtinian R N :=
inferInstanceAs <| IsArtinian R N.toSubmodule
instance [NoZeroSMulDivisors R M] : NoZeroSMulDivisors R N :=
inferInstanceAs <| NoZeroSMulDivisors R N.toSubmodule
variable [LieAlgebra R L] [LieModule R L M]
instance instLieModule : LieModule R L N where
lie_smul := by intro t x y; apply SetCoe.ext; apply lie_smul
smul_lie := by intro t x y; apply SetCoe.ext; apply smul_lie
instance [Subsingleton M] : Unique (LieSubmodule R L M) :=
⟨⟨0⟩, fun _ ↦ (toSubmodule_inj _ _).mp (Subsingleton.elim _ _)⟩
end LieSubmodule
variable {R M}
theorem Submodule.exists_lieSubmodule_coe_eq_iff (p : Submodule R M) :
(∃ N : LieSubmodule R L M, ↑N = p) ↔ ∀ (x : L) (m : M), m ∈ p → ⁅x, m⁆ ∈ p := by
constructor
· rintro ⟨N, rfl⟩ _ _; exact N.lie_mem
· intro h; use { p with lie_mem := @h }
namespace LieSubalgebra
variable {L}
variable [LieAlgebra R L]
variable (K : LieSubalgebra R L)
/-- Given a Lie subalgebra `K ⊆ L`, if we view `L` as a `K`-module by restriction, it contains
a distinguished Lie submodule for the action of `K`, namely `K` itself. -/
def toLieSubmodule : LieSubmodule R K L :=
{ (K : Submodule R L) with lie_mem := fun {x _} hy ↦ K.lie_mem x.property hy }
@[simp]
theorem coe_toLieSubmodule : (K.toLieSubmodule : Submodule R L) = K := rfl
variable {K}
@[simp]
theorem mem_toLieSubmodule (x : L) : x ∈ K.toLieSubmodule ↔ x ∈ K :=
Iff.rfl
end LieSubalgebra
end LieSubmodule
namespace LieSubmodule
variable {R : Type u} {L : Type v} {M : Type w}
variable [CommRing R] [LieRing L] [AddCommGroup M] [Module R M]
variable [LieRingModule L M]
variable (N N' : LieSubmodule R L M)
section LatticeStructure
open Set
theorem coe_injective : Function.Injective ((↑) : LieSubmodule R L M → Set M) :=
SetLike.coe_injective
@[simp, norm_cast]
theorem toSubmodule_le_toSubmodule : (N : Submodule R M) ≤ N' ↔ N ≤ N' :=
Iff.rfl
@[deprecated (since := "2024-12-30")]
alias coeSubmodule_le_coeSubmodule := toSubmodule_le_toSubmodule
instance : Bot (LieSubmodule R L M) :=
⟨0⟩
instance instUniqueBot : Unique (⊥ : LieSubmodule R L M) :=
inferInstanceAs <| Unique (⊥ : Submodule R M)
@[simp]
theorem bot_coe : ((⊥ : LieSubmodule R L M) : Set M) = {0} :=
rfl
@[simp]
theorem bot_toSubmodule : ((⊥ : LieSubmodule R L M) : Submodule R M) = ⊥ :=
rfl
@[deprecated (since := "2024-12-30")] alias bot_coeSubmodule := bot_toSubmodule
@[simp]
theorem toSubmodule_eq_bot : (N : Submodule R M) = ⊥ ↔ N = ⊥ := by
rw [← toSubmodule_inj, bot_toSubmodule]
@[deprecated (since := "2024-12-30")] alias coeSubmodule_eq_bot_iff := toSubmodule_eq_bot
@[simp] theorem mk_eq_bot_iff {N : Submodule R M} {h} :
(⟨N, h⟩ : LieSubmodule R L M) = ⊥ ↔ N = ⊥ := by
rw [← toSubmodule_inj, bot_toSubmodule]
@[simp]
theorem mem_bot (x : M) : x ∈ (⊥ : LieSubmodule R L M) ↔ x = 0 :=
mem_singleton_iff
instance : Top (LieSubmodule R L M) :=
⟨{ (⊤ : Submodule R M) with lie_mem := fun {x m} _ ↦ mem_univ ⁅x, m⁆ }⟩
@[simp]
theorem top_coe : ((⊤ : LieSubmodule R L M) : Set M) = univ :=
rfl
@[simp]
theorem top_toSubmodule : ((⊤ : LieSubmodule R L M) : Submodule R M) = ⊤ :=
rfl
@[deprecated (since := "2024-12-30")] alias top_coeSubmodule := top_toSubmodule
@[simp]
theorem toSubmodule_eq_top : (N : Submodule R M) = ⊤ ↔ N = ⊤ := by
rw [← toSubmodule_inj, top_toSubmodule]
@[deprecated (since := "2024-12-30")] alias coeSubmodule_eq_top_iff := toSubmodule_eq_top
@[simp] theorem mk_eq_top_iff {N : Submodule R M} {h} :
(⟨N, h⟩ : LieSubmodule R L M) = ⊤ ↔ N = ⊤ := by
rw [← toSubmodule_inj, top_toSubmodule]
@[simp]
theorem mem_top (x : M) : x ∈ (⊤ : LieSubmodule R L M) :=
mem_univ x
instance : Min (LieSubmodule R L M) :=
⟨fun N N' ↦
{ (N ⊓ N' : Submodule R M) with
lie_mem := fun h ↦ mem_inter (N.lie_mem h.1) (N'.lie_mem h.2) }⟩
instance : InfSet (LieSubmodule R L M) :=
⟨fun S ↦
{ toSubmodule := sInf {(s : Submodule R M) | s ∈ S}
lie_mem := fun {x m} h ↦ by
simp only [Submodule.mem_carrier, mem_iInter, Submodule.sInf_coe, mem_setOf_eq,
forall_apply_eq_imp_iff₂, forall_exists_index, and_imp] at h ⊢
intro N hN; apply N.lie_mem (h N hN) }⟩
@[simp]
theorem inf_coe : (↑(N ⊓ N') : Set M) = ↑N ∩ ↑N' :=
rfl
@[norm_cast, simp]
theorem inf_toSubmodule :
(↑(N ⊓ N') : Submodule R M) = (N : Submodule R M) ⊓ (N' : Submodule R M) :=
rfl
@[deprecated (since := "2024-12-30")] alias inf_coe_toSubmodule := inf_toSubmodule
@[simp]
theorem sInf_toSubmodule (S : Set (LieSubmodule R L M)) :
(↑(sInf S) : Submodule R M) = sInf {(s : Submodule R M) | s ∈ S} :=
rfl
@[deprecated (since := "2024-12-30")] alias sInf_coe_toSubmodule := sInf_toSubmodule
theorem sInf_toSubmodule_eq_iInf (S : Set (LieSubmodule R L M)) :
(↑(sInf S) : Submodule R M) = ⨅ N ∈ S, (N : Submodule R M) := by
rw [sInf_toSubmodule, ← Set.image, sInf_image]
@[deprecated (since := "2024-12-30")] alias sInf_coe_toSubmodule' := sInf_toSubmodule_eq_iInf
@[simp]
theorem iInf_toSubmodule {ι} (p : ι → LieSubmodule R L M) :
(↑(⨅ i, p i) : Submodule R M) = ⨅ i, (p i : Submodule R M) := by
rw [iInf, sInf_toSubmodule]; ext; simp
@[deprecated (since := "2024-12-30")] alias iInf_coe_toSubmodule := iInf_toSubmodule
@[simp]
theorem sInf_coe (S : Set (LieSubmodule R L M)) : (↑(sInf S) : Set M) = ⋂ s ∈ S, (s : Set M) := by
rw [← LieSubmodule.coe_toSubmodule, sInf_toSubmodule, Submodule.sInf_coe]
ext m
simp only [mem_iInter, mem_setOf_eq, forall_apply_eq_imp_iff₂, exists_imp,
and_imp, SetLike.mem_coe, mem_toSubmodule]
@[simp]
theorem iInf_coe {ι} (p : ι → LieSubmodule R L M) : (↑(⨅ i, p i) : Set M) = ⋂ i, ↑(p i) := by
rw [iInf, sInf_coe]; simp only [Set.mem_range, Set.iInter_exists, Set.iInter_iInter_eq']
@[simp]
theorem mem_iInf {ι} (p : ι → LieSubmodule R L M) {x} : (x ∈ ⨅ i, p i) ↔ ∀ i, x ∈ p i := by
rw [← SetLike.mem_coe, iInf_coe, Set.mem_iInter]; rfl
instance : Max (LieSubmodule R L M) where
max N N' :=
{ toSubmodule := (N : Submodule R M) ⊔ (N' : Submodule R M)
lie_mem := by
rintro x m (hm : m ∈ (N : Submodule R M) ⊔ (N' : Submodule R M))
change ⁅x, m⁆ ∈ (N : Submodule R M) ⊔ (N' : Submodule R M)
rw [Submodule.mem_sup] at hm ⊢
obtain ⟨y, hy, z, hz, rfl⟩ := hm
exact ⟨⁅x, y⁆, N.lie_mem hy, ⁅x, z⁆, N'.lie_mem hz, (lie_add _ _ _).symm⟩ }
instance : SupSet (LieSubmodule R L M) where
sSup S :=
{ toSubmodule := sSup {(p : Submodule R M) | p ∈ S}
lie_mem := by
intro x m (hm : m ∈ sSup {(p : Submodule R M) | p ∈ S})
change ⁅x, m⁆ ∈ sSup {(p : Submodule R M) | p ∈ S}
obtain ⟨s, hs, hsm⟩ := Submodule.mem_sSup_iff_exists_finset.mp hm
clear hm
classical
induction s using Finset.induction_on generalizing m with
| empty =>
replace hsm : m = 0 := by simpa using hsm
simp [hsm]
| insert q t hqt ih =>
rw [Finset.iSup_insert] at hsm
obtain ⟨m', hm', u, hu, rfl⟩ := Submodule.mem_sup.mp hsm
rw [lie_add]
refine add_mem ?_ (ih (Subset.trans (by simp) hs) hu)
obtain ⟨p, hp, rfl⟩ : ∃ p ∈ S, ↑p = q := hs (Finset.mem_insert_self q t)
suffices p ≤ sSup {(p : Submodule R M) | p ∈ S} by exact this (p.lie_mem hm')
exact le_sSup ⟨p, hp, rfl⟩ }
@[norm_cast, simp]
theorem sup_toSubmodule :
(↑(N ⊔ N') : Submodule R M) = (N : Submodule R M) ⊔ (N' : Submodule R M) := by
rfl
@[deprecated (since := "2024-12-30")] alias sup_coe_toSubmodule := sup_toSubmodule
@[simp]
theorem sSup_toSubmodule (S : Set (LieSubmodule R L M)) :
(↑(sSup S) : Submodule R M) = sSup {(s : Submodule R M) | s ∈ S} :=
rfl
@[deprecated (since := "2024-12-30")] alias sSup_coe_toSubmodule := sSup_toSubmodule
theorem sSup_toSubmodule_eq_iSup (S : Set (LieSubmodule R L M)) :
(↑(sSup S) : Submodule R M) = ⨆ N ∈ S, (N : Submodule R M) := by
rw [sSup_toSubmodule, ← Set.image, sSup_image]
@[deprecated (since := "2024-12-30")] alias sSup_coe_toSubmodule' := sSup_toSubmodule_eq_iSup
@[simp]
theorem iSup_toSubmodule {ι} (p : ι → LieSubmodule R L M) :
(↑(⨆ i, p i) : Submodule R M) = ⨆ i, (p i : Submodule R M) := by
rw [iSup, sSup_toSubmodule]; ext; simp [Submodule.mem_sSup, Submodule.mem_iSup]
@[deprecated (since := "2024-12-30")] alias iSup_coe_toSubmodule := iSup_toSubmodule
/-- The set of Lie submodules of a Lie module form a complete lattice. -/
instance : CompleteLattice (LieSubmodule R L M) :=
{ toSubmodule_injective.completeLattice toSubmodule sup_toSubmodule inf_toSubmodule
sSup_toSubmodule_eq_iSup sInf_toSubmodule_eq_iInf rfl rfl with
toPartialOrder := SetLike.instPartialOrder }
theorem mem_iSup_of_mem {ι} {b : M} {N : ι → LieSubmodule R L M} (i : ι) (h : b ∈ N i) :
b ∈ ⨆ i, N i :=
(le_iSup N i) h
@[elab_as_elim]
lemma iSup_induction {ι} (N : ι → LieSubmodule R L M) {motive : M → Prop} {x : M}
(hx : x ∈ ⨆ i, N i) (mem : ∀ i, ∀ y ∈ N i, motive y) (zero : motive 0)
(add : ∀ y z, motive y → motive z → motive (y + z)) : motive x := by
rw [← LieSubmodule.mem_toSubmodule, LieSubmodule.iSup_toSubmodule] at hx
exact Submodule.iSup_induction (motive := motive) (fun i ↦ (N i : Submodule R M)) hx mem zero add
@[elab_as_elim]
theorem iSup_induction' {ι} (N : ι → LieSubmodule R L M) {motive : (x : M) → (x ∈ ⨆ i, N i) → Prop}
(mem : ∀ (i) (x) (hx : x ∈ N i), motive x (mem_iSup_of_mem i hx)) (zero : motive 0 (zero_mem _))
(add : ∀ x y hx hy, motive x hx → motive y hy → motive (x + y) (add_mem ‹_› ‹_›)) {x : M}
(hx : x ∈ ⨆ i, N i) : motive x hx := by
refine Exists.elim ?_ fun (hx : x ∈ ⨆ i, N i) (hc : motive x hx) => hc
refine iSup_induction N (motive := fun x : M ↦ ∃ (hx : x ∈ ⨆ i, N i), motive x hx) hx
(fun i x hx => ?_) ?_ fun x y => ?_
· exact ⟨_, mem _ _ hx⟩
· exact ⟨_, zero⟩
· rintro ⟨_, Cx⟩ ⟨_, Cy⟩
| exact ⟨_, add _ _ _ _ Cx Cy⟩
| Mathlib/Algebra/Lie/Submodule.lean | 465 | 466 |
/-
Copyright (c) 2020 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov
-/
import Mathlib.Algebra.Star.SelfAdjoint
import Mathlib.LinearAlgebra.Dimension.StrongRankCondition
import Mathlib.LinearAlgebra.FreeModule.Finite.Basic
/-!
# Quaternions
In this file we define quaternions `ℍ[R]` over a commutative ring `R`, and define some
algebraic structures on `ℍ[R]`.
## Main definitions
* `QuaternionAlgebra R a b c`, `ℍ[R, a, b, c]` :
[Bourbaki, *Algebra I*][bourbaki1989] with coefficients `a`, `b`, `c`
(Many other references such as Wikipedia assume $\operatorname{char} R ≠ 2$ therefore one can
complete the square and WLOG assume $b = 0$.)
* `Quaternion R`, `ℍ[R]` : the space of quaternions, a.k.a.
`QuaternionAlgebra R (-1) (0) (-1)`;
* `Quaternion.normSq` : square of the norm of a quaternion;
We also define the following algebraic structures on `ℍ[R]`:
* `Ring ℍ[R, a, b, c]`, `StarRing ℍ[R, a, b, c]`, and `Algebra R ℍ[R, a, b, c]` :
for any commutative ring `R`;
* `Ring ℍ[R]`, `StarRing ℍ[R]`, and `Algebra R ℍ[R]` : for any commutative ring `R`;
* `IsDomain ℍ[R]` : for a linear ordered commutative ring `R`;
* `DivisionRing ℍ[R]` : for a linear ordered field `R`.
## Notation
The following notation is available with `open Quaternion` or `open scoped Quaternion`.
* `ℍ[R, c₁, c₂, c₃]` : `QuaternionAlgebra R c₁ c₂ c₃`
* `ℍ[R, c₁, c₂]` : `QuaternionAlgebra R c₁ 0 c₂`
* `ℍ[R]` : quaternions over `R`.
## Implementation notes
We define quaternions over any ring `R`, not just `ℝ` to be able to deal with, e.g., integer
or rational quaternions without using real numbers. In particular, all definitions in this file
are computable.
## Tags
quaternion
-/
/-- Quaternion algebra over a type with fixed coefficients where $i^2 = a + bi$ and $j^2 = c$,
denoted as `ℍ[R,a,b]`.
Implemented as a structure with four fields: `re`, `imI`, `imJ`, and `imK`. -/
@[ext]
structure QuaternionAlgebra (R : Type*) (a b c : R) where
/-- Real part of a quaternion. -/
re : R
/-- First imaginary part (i) of a quaternion. -/
imI : R
/-- Second imaginary part (j) of a quaternion. -/
imJ : R
/-- Third imaginary part (k) of a quaternion. -/
imK : R
@[inherit_doc]
scoped[Quaternion] notation "ℍ[" R "," a "," b "," c "]" =>
QuaternionAlgebra R a b c
@[inherit_doc]
scoped[Quaternion] notation "ℍ[" R "," a "," b "]" => QuaternionAlgebra R a 0 b
namespace QuaternionAlgebra
open Quaternion
/-- The equivalence between a quaternion algebra over `R` and `R × R × R × R`. -/
@[simps]
def equivProd {R : Type*} (c₁ c₂ c₃ : R) : ℍ[R,c₁,c₂,c₃] ≃ R × R × R × R where
toFun a := ⟨a.1, a.2, a.3, a.4⟩
invFun a := ⟨a.1, a.2.1, a.2.2.1, a.2.2.2⟩
left_inv _ := rfl
right_inv _ := rfl
/-- The equivalence between a quaternion algebra over `R` and `Fin 4 → R`. -/
@[simps symm_apply]
def equivTuple {R : Type*} (c₁ c₂ c₃ : R) : ℍ[R,c₁,c₂,c₃] ≃ (Fin 4 → R) where
toFun a := ![a.1, a.2, a.3, a.4]
invFun a := ⟨a 0, a 1, a 2, a 3⟩
left_inv _ := rfl
right_inv f := by ext ⟨_, _ | _ | _ | _ | _ | ⟨⟩⟩ <;> rfl
@[simp]
theorem equivTuple_apply {R : Type*} (c₁ c₂ c₃ : R) (x : ℍ[R,c₁,c₂,c₃]) :
equivTuple c₁ c₂ c₃ x = ![x.re, x.imI, x.imJ, x.imK] :=
rfl
@[simp]
theorem mk.eta {R : Type*} {c₁ c₂ c₃} (a : ℍ[R,c₁,c₂,c₃]) : mk a.1 a.2 a.3 a.4 = a := rfl
variable {S T R : Type*} {c₁ c₂ c₃ : R} (r x y : R) (a b : ℍ[R,c₁,c₂,c₃])
instance [Subsingleton R] : Subsingleton ℍ[R, c₁, c₂, c₃] := (equivTuple c₁ c₂ c₃).subsingleton
instance [Nontrivial R] : Nontrivial ℍ[R, c₁, c₂, c₃] := (equivTuple c₁ c₂ c₃).surjective.nontrivial
section Zero
variable [Zero R]
/-- The imaginary part of a quaternion.
Note that unless `c₂ = 0`, this definition is not particularly well-behaved;
for instance, `QuaternionAlgebra.star_im` only says that the star of an imaginary quaternion
is imaginary under this condition. -/
def im (x : ℍ[R,c₁,c₂,c₃]) : ℍ[R,c₁,c₂,c₃] :=
⟨0, x.imI, x.imJ, x.imK⟩
@[simp]
theorem im_re : a.im.re = 0 :=
rfl
@[simp]
theorem im_imI : a.im.imI = a.imI :=
rfl
@[simp]
theorem im_imJ : a.im.imJ = a.imJ :=
rfl
@[simp]
theorem im_imK : a.im.imK = a.imK :=
rfl
@[simp]
theorem im_idem : a.im.im = a.im :=
rfl
/-- Coercion `R → ℍ[R,c₁,c₂,c₃]`. -/
@[coe] def coe (x : R) : ℍ[R,c₁,c₂,c₃] := ⟨x, 0, 0, 0⟩
instance : CoeTC R ℍ[R,c₁,c₂,c₃] := ⟨coe⟩
@[simp, norm_cast]
theorem coe_re : (x : ℍ[R,c₁,c₂,c₃]).re = x := rfl
@[simp, norm_cast]
theorem coe_imI : (x : ℍ[R,c₁,c₂,c₃]).imI = 0 := rfl
@[simp, norm_cast]
theorem coe_imJ : (x : ℍ[R,c₁,c₂,c₃]).imJ = 0 := rfl
@[simp, norm_cast]
theorem coe_imK : (x : ℍ[R,c₁,c₂,c₃]).imK = 0 := rfl
theorem coe_injective : Function.Injective (coe : R → ℍ[R,c₁,c₂,c₃]) := fun _ _ h => congr_arg re h
@[simp]
theorem coe_inj {x y : R} : (x : ℍ[R,c₁,c₂,c₃]) = y ↔ x = y :=
coe_injective.eq_iff
-- Porting note: removed `simps`, added simp lemmas manually.
-- Should adjust `simps` to name properly, i.e. as `zero_re` rather than `instZero_zero_re`.
instance : Zero ℍ[R,c₁,c₂,c₃] := ⟨⟨0, 0, 0, 0⟩⟩
@[scoped simp] theorem zero_re : (0 : ℍ[R,c₁,c₂,c₃]).re = 0 := rfl
@[scoped simp] theorem zero_imI : (0 : ℍ[R,c₁,c₂,c₃]).imI = 0 := rfl
@[scoped simp] theorem zero_imJ : (0 : ℍ[R,c₁,c₂,c₃]).imJ = 0 := rfl
@[scoped simp] theorem zero_imK : (0 : ℍ[R,c₁,c₂,c₃]).imK = 0 := rfl
@[scoped simp] theorem zero_im : (0 : ℍ[R,c₁,c₂,c₃]).im = 0 := rfl
@[simp, norm_cast]
theorem coe_zero : ((0 : R) : ℍ[R,c₁,c₂,c₃]) = 0 := rfl
instance : Inhabited ℍ[R,c₁,c₂,c₃] := ⟨0⟩
section One
variable [One R]
-- Porting note: removed `simps`, added simp lemmas manually. Should adjust `simps` to name properly
instance : One ℍ[R,c₁,c₂,c₃] := ⟨⟨1, 0, 0, 0⟩⟩
@[scoped simp] theorem one_re : (1 : ℍ[R,c₁,c₂,c₃]).re = 1 := rfl
@[scoped simp] theorem one_imI : (1 : ℍ[R,c₁,c₂,c₃]).imI = 0 := rfl
@[scoped simp] theorem one_imJ : (1 : ℍ[R,c₁,c₂,c₃]).imJ = 0 := rfl
@[scoped simp] theorem one_imK : (1 : ℍ[R,c₁,c₂,c₃]).imK = 0 := rfl
@[scoped simp] theorem one_im : (1 : ℍ[R,c₁,c₂,c₃]).im = 0 := rfl
@[simp, norm_cast]
theorem coe_one : ((1 : R) : ℍ[R,c₁,c₂,c₃]) = 1 := rfl
end One
end Zero
section Add
variable [Add R]
-- Porting note: removed `simps`, added simp lemmas manually. Should adjust `simps` to name properly
instance : Add ℍ[R,c₁,c₂,c₃] :=
⟨fun a b => ⟨a.1 + b.1, a.2 + b.2, a.3 + b.3, a.4 + b.4⟩⟩
@[simp] theorem add_re : (a + b).re = a.re + b.re := rfl
@[simp] theorem add_imI : (a + b).imI = a.imI + b.imI := rfl
@[simp] theorem add_imJ : (a + b).imJ = a.imJ + b.imJ := rfl
@[simp] theorem add_imK : (a + b).imK = a.imK + b.imK := rfl
@[simp]
theorem mk_add_mk (a₁ a₂ a₃ a₄ b₁ b₂ b₃ b₄ : R) :
(mk a₁ a₂ a₃ a₄ : ℍ[R,c₁,c₂,c₃]) + mk b₁ b₂ b₃ b₄ =
mk (a₁ + b₁) (a₂ + b₂) (a₃ + b₃) (a₄ + b₄) :=
rfl
end Add
section AddZeroClass
variable [AddZeroClass R]
@[simp] theorem add_im : (a + b).im = a.im + b.im :=
QuaternionAlgebra.ext (zero_add _).symm rfl rfl rfl
@[simp, norm_cast]
theorem coe_add : ((x + y : R) : ℍ[R,c₁,c₂,c₃]) = x + y := by ext <;> simp
end AddZeroClass
section Neg
variable [Neg R]
-- Porting note: removed `simps`, added simp lemmas manually. Should adjust `simps` to name properly
instance : Neg ℍ[R,c₁,c₂,c₃] := ⟨fun a => ⟨-a.1, -a.2, -a.3, -a.4⟩⟩
@[simp] theorem neg_re : (-a).re = -a.re := rfl
@[simp] theorem neg_imI : (-a).imI = -a.imI := rfl
@[simp] theorem neg_imJ : (-a).imJ = -a.imJ := rfl
@[simp] theorem neg_imK : (-a).imK = -a.imK := rfl
@[simp]
theorem neg_mk (a₁ a₂ a₃ a₄ : R) : -(mk a₁ a₂ a₃ a₄ : ℍ[R,c₁,c₂,c₃]) = ⟨-a₁, -a₂, -a₃, -a₄⟩ :=
rfl
end Neg
section AddGroup
variable [AddGroup R]
@[simp] theorem neg_im : (-a).im = -a.im :=
QuaternionAlgebra.ext neg_zero.symm rfl rfl rfl
@[simp, norm_cast]
theorem coe_neg : ((-x : R) : ℍ[R,c₁,c₂,c₃]) = -x := by ext <;> simp
instance : Sub ℍ[R,c₁,c₂,c₃] :=
⟨fun a b => ⟨a.1 - b.1, a.2 - b.2, a.3 - b.3, a.4 - b.4⟩⟩
@[simp] theorem sub_re : (a - b).re = a.re - b.re := rfl
@[simp] theorem sub_imI : (a - b).imI = a.imI - b.imI := rfl
@[simp] theorem sub_imJ : (a - b).imJ = a.imJ - b.imJ := rfl
@[simp] theorem sub_imK : (a - b).imK = a.imK - b.imK := rfl
@[simp] theorem sub_im : (a - b).im = a.im - b.im :=
QuaternionAlgebra.ext (sub_zero _).symm rfl rfl rfl
@[simp]
theorem mk_sub_mk (a₁ a₂ a₃ a₄ b₁ b₂ b₃ b₄ : R) :
(mk a₁ a₂ a₃ a₄ : ℍ[R,c₁,c₂,c₃]) - mk b₁ b₂ b₃ b₄ =
mk (a₁ - b₁) (a₂ - b₂) (a₃ - b₃) (a₄ - b₄) :=
rfl
@[simp, norm_cast]
theorem coe_im : (x : ℍ[R,c₁,c₂,c₃]).im = 0 :=
rfl
@[simp]
theorem re_add_im : ↑a.re + a.im = a :=
QuaternionAlgebra.ext (add_zero _) (zero_add _) (zero_add _) (zero_add _)
@[simp]
theorem sub_self_im : a - a.im = a.re :=
QuaternionAlgebra.ext (sub_zero _) (sub_self _) (sub_self _) (sub_self _)
@[simp]
theorem sub_self_re : a - a.re = a.im :=
QuaternionAlgebra.ext (sub_self _) (sub_zero _) (sub_zero _) (sub_zero _)
end AddGroup
section Ring
variable [Ring R]
/-- Multiplication is given by
* `1 * x = x * 1 = x`;
* `i * i = c₁ + c₂ * i`;
* `j * j = c₃`;
* `i * j = k`, `j * i = c₂ * j - k`;
* `k * k = - c₁ * c₃`;
* `i * k = c₁ * j + c₂ * k`, `k * i = -c₁ * j`;
* `j * k = c₂ * c₃ - c₃ * i`, `k * j = c₃ * i`. -/
instance : Mul ℍ[R,c₁,c₂,c₃] :=
⟨fun a b =>
⟨a.1 * b.1 + c₁ * a.2 * b.2 + c₃ * a.3 * b.3 + c₂ * c₃ * a.3 * b.4 - c₁ * c₃ * a.4 * b.4,
a.1 * b.2 + a.2 * b.1 + c₂ * a.2 * b.2 - c₃ * a.3 * b.4 + c₃ * a.4 * b.3,
a.1 * b.3 + c₁ * a.2 * b.4 + a.3 * b.1 + c₂ * a.3 * b.2 - c₁ * a.4 * b.2,
a.1 * b.4 + a.2 * b.3 + c₂ * a.2 * b.4 - a.3 * b.2 + a.4 * b.1⟩⟩
@[simp]
theorem mul_re : (a * b).re = a.1 * b.1 + c₁ * a.2 * b.2 + c₃ * a.3 * b.3 +
c₂ * c₃ * a.3 * b.4 - c₁ * c₃ * a.4 * b.4 := rfl
@[simp]
theorem mul_imI : (a * b).imI = a.1 * b.2 + a.2 * b.1 +
c₂ * a.2 * b.2 - c₃ * a.3 * b.4 + c₃ * a.4 * b.3 := rfl
@[simp]
theorem mul_imJ : (a * b).imJ = a.1 * b.3 + c₁ * a.2 * b.4 + a.3 * b.1 +
c₂ * a.3 * b.2 - c₁ * a.4 * b.2 := rfl
@[simp]
theorem mul_imK : (a * b).imK = a.1 * b.4 + a.2 * b.3 +
c₂ * a.2 * b.4 - a.3 * b.2 + a.4 * b.1 := rfl
@[simp]
theorem mk_mul_mk (a₁ a₂ a₃ a₄ b₁ b₂ b₃ b₄ : R) :
(mk a₁ a₂ a₃ a₄ : ℍ[R,c₁,c₂,c₃]) * mk b₁ b₂ b₃ b₄ =
mk
(a₁ * b₁ + c₁ * a₂ * b₂ + c₃ * a₃ * b₃ + c₂ * c₃ * a₃ * b₄ - c₁ * c₃ * a₄ * b₄)
(a₁ * b₂ + a₂ * b₁ + c₂ * a₂ * b₂ - c₃ * a₃ * b₄ + c₃ * a₄ * b₃)
(a₁ * b₃ + c₁ * a₂ * b₄ + a₃ * b₁ + c₂ * a₃ * b₂ - c₁ * a₄ * b₂)
(a₁ * b₄ + a₂ * b₃ + c₂ * a₂ * b₄ - a₃ * b₂ + a₄ * b₁) :=
rfl
end Ring
section SMul
variable [SMul S R] [SMul T R] (s : S)
instance : SMul S ℍ[R,c₁,c₂,c₃] where smul s a := ⟨s • a.1, s • a.2, s • a.3, s • a.4⟩
instance [SMul S T] [IsScalarTower S T R] : IsScalarTower S T ℍ[R,c₁,c₂,c₃] where
smul_assoc s t x := by ext <;> exact smul_assoc _ _ _
instance [SMulCommClass S T R] : SMulCommClass S T ℍ[R,c₁,c₂,c₃] where
smul_comm s t x := by ext <;> exact smul_comm _ _ _
@[simp] theorem smul_re : (s • a).re = s • a.re := rfl
@[simp] theorem smul_imI : (s • a).imI = s • a.imI := rfl
@[simp] theorem smul_imJ : (s • a).imJ = s • a.imJ := rfl
@[simp] theorem smul_imK : (s • a).imK = s • a.imK := rfl
@[simp] theorem smul_im {S} [CommRing R] [SMulZeroClass S R] (s : S) : (s • a).im = s • a.im :=
QuaternionAlgebra.ext (smul_zero s).symm rfl rfl rfl
@[simp]
theorem smul_mk (re im_i im_j im_k : R) :
s • (⟨re, im_i, im_j, im_k⟩ : ℍ[R,c₁,c₂,c₃]) = ⟨s • re, s • im_i, s • im_j, s • im_k⟩ :=
rfl
end SMul
@[simp, norm_cast]
theorem coe_smul [Zero R] [SMulZeroClass S R] (s : S) (r : R) :
(↑(s • r) : ℍ[R,c₁,c₂,c₃]) = s • (r : ℍ[R,c₁,c₂,c₃]) :=
QuaternionAlgebra.ext rfl (smul_zero _).symm (smul_zero _).symm (smul_zero _).symm
instance [AddCommGroup R] : AddCommGroup ℍ[R,c₁,c₂,c₃] :=
(equivProd c₁ c₂ c₃).injective.addCommGroup _ rfl (fun _ _ ↦ rfl) (fun _ ↦ rfl) (fun _ _ ↦ rfl)
(fun _ _ ↦ rfl) (fun _ _ ↦ rfl)
section AddCommGroupWithOne
variable [AddCommGroupWithOne R]
instance : AddCommGroupWithOne ℍ[R,c₁,c₂,c₃] where
natCast n := ((n : R) : ℍ[R,c₁,c₂,c₃])
natCast_zero := by simp
natCast_succ := by simp
intCast n := ((n : R) : ℍ[R,c₁,c₂,c₃])
intCast_ofNat _ := congr_arg coe (Int.cast_natCast _)
intCast_negSucc n := by
change coe _ = -coe _
rw [Int.cast_negSucc, coe_neg]
@[simp, norm_cast]
theorem natCast_re (n : ℕ) : (n : ℍ[R,c₁,c₂,c₃]).re = n :=
rfl
@[simp, norm_cast]
theorem natCast_imI (n : ℕ) : (n : ℍ[R,c₁,c₂,c₃]).imI = 0 :=
rfl
@[simp, norm_cast]
theorem natCast_imJ (n : ℕ) : (n : ℍ[R,c₁,c₂,c₃]).imJ = 0 :=
rfl
@[simp, norm_cast]
theorem natCast_imK (n : ℕ) : (n : ℍ[R,c₁,c₂,c₃]).imK = 0 :=
rfl
@[simp, norm_cast]
theorem natCast_im (n : ℕ) : (n : ℍ[R,c₁,c₂,c₃]).im = 0 :=
rfl
@[norm_cast]
theorem coe_natCast (n : ℕ) : ↑(n : R) = (n : ℍ[R,c₁,c₂,c₃]) :=
rfl
@[simp, norm_cast]
theorem intCast_re (z : ℤ) : (z : ℍ[R,c₁,c₂,c₃]).re = z :=
rfl
@[scoped simp]
theorem ofNat_re (n : ℕ) [n.AtLeastTwo] : (ofNat(n) : ℍ[R,c₁,c₂,c₃]).re = ofNat(n) := rfl
@[scoped simp]
theorem ofNat_imI (n : ℕ) [n.AtLeastTwo] : (ofNat(n) : ℍ[R,c₁,c₂,c₃]).imI = 0 := rfl
@[scoped simp]
theorem ofNat_imJ (n : ℕ) [n.AtLeastTwo] : (ofNat(n) : ℍ[R,c₁,c₂,c₃]).imJ = 0 := rfl
@[scoped simp]
theorem ofNat_imK (n : ℕ) [n.AtLeastTwo] : (ofNat(n) : ℍ[R,c₁,c₂,c₃]).imK = 0 := rfl
@[scoped simp]
theorem ofNat_im (n : ℕ) [n.AtLeastTwo] : (ofNat(n) : ℍ[R,c₁,c₂,c₃]).im = 0 := rfl
@[simp, norm_cast]
theorem intCast_imI (z : ℤ) : (z : ℍ[R,c₁,c₂,c₃]).imI = 0 :=
rfl
@[simp, norm_cast]
theorem intCast_imJ (z : ℤ) : (z : ℍ[R,c₁,c₂,c₃]).imJ = 0 :=
rfl
@[simp, norm_cast]
theorem intCast_imK (z : ℤ) : (z : ℍ[R,c₁,c₂,c₃]).imK = 0 :=
rfl
@[simp, norm_cast]
theorem intCast_im (z : ℤ) : (z : ℍ[R,c₁,c₂,c₃]).im = 0 :=
rfl
@[norm_cast]
theorem coe_intCast (z : ℤ) : ↑(z : R) = (z : ℍ[R,c₁,c₂,c₃]) :=
rfl
end AddCommGroupWithOne
-- For the remainder of the file we assume `CommRing R`.
variable [CommRing R]
instance instRing : Ring ℍ[R,c₁,c₂,c₃] where
__ := inferInstanceAs (AddCommGroupWithOne ℍ[R,c₁,c₂,c₃])
left_distrib _ _ _ := by ext <;> simp <;> ring
right_distrib _ _ _ := by ext <;> simp <;> ring
zero_mul _ := by ext <;> simp
mul_zero _ := by ext <;> simp
mul_assoc _ _ _ := by ext <;> simp <;> ring
one_mul _ := by ext <;> simp
mul_one _ := by ext <;> simp
@[norm_cast, simp]
theorem coe_mul : ((x * y : R) : ℍ[R,c₁,c₂,c₃]) = x * y := by ext <;> simp
@[norm_cast, simp]
lemma coe_ofNat {n : ℕ} [n.AtLeastTwo]:
((ofNat(n) : R) : ℍ[R,c₁,c₂,c₃]) = (ofNat(n) : ℍ[R,c₁,c₂,c₃]) := by
rfl
-- TODO: add weaker `MulAction`, `DistribMulAction`, and `Module` instances (and repeat them
-- for `ℍ[R]`)
instance [CommSemiring S] [Algebra S R] : Algebra S ℍ[R,c₁,c₂,c₃] where
smul := (· • ·)
algebraMap :=
{ toFun s := coe (algebraMap S R s)
map_one' := by simp only [map_one, coe_one]
map_zero' := by simp only [map_zero, coe_zero]
map_mul' x y := by simp only [map_mul, coe_mul]
map_add' x y := by simp only [map_add, coe_add] }
smul_def' s x := by ext <;> simp [Algebra.smul_def]
commutes' s x := by ext <;> simp [Algebra.commutes]
theorem algebraMap_eq (r : R) : algebraMap R ℍ[R,c₁,c₂,c₃] r = ⟨r, 0, 0, 0⟩ :=
rfl
theorem algebraMap_injective : (algebraMap R ℍ[R,c₁,c₂,c₃] : _ → _).Injective :=
fun _ _ ↦ by simp [algebraMap_eq]
instance [NoZeroDivisors R] : NoZeroSMulDivisors R ℍ[R,c₁,c₂,c₃] := ⟨by
rintro t ⟨a, b, c, d⟩ h
rw [or_iff_not_imp_left]
intro ht
simpa [QuaternionAlgebra.ext_iff, ht] using h⟩
section
variable (c₁ c₂ c₃)
/-- `QuaternionAlgebra.re` as a `LinearMap` -/
@[simps]
def reₗ : ℍ[R,c₁,c₂,c₃] →ₗ[R] R where
toFun := re
map_add' _ _ := rfl
map_smul' _ _ := rfl
/-- `QuaternionAlgebra.imI` as a `LinearMap` -/
@[simps]
def imIₗ : ℍ[R,c₁,c₂,c₃] →ₗ[R] R where
toFun := imI
map_add' _ _ := rfl
map_smul' _ _ := rfl
/-- `QuaternionAlgebra.imJ` as a `LinearMap` -/
@[simps]
def imJₗ : ℍ[R,c₁,c₂,c₃] →ₗ[R] R where
toFun := imJ
map_add' _ _ := rfl
| map_smul' _ _ := rfl
| Mathlib/Algebra/Quaternion.lean | 534 | 535 |
/-
Copyright (c) 2022 Yaël Dillies, Bhavik Mehta. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yaël Dillies, Bhavik Mehta
-/
import Mathlib.Data.Finset.Lattice.Prod
import Mathlib.Data.Fintype.Powerset
import Mathlib.Data.Setoid.Basic
import Mathlib.Order.Atoms
import Mathlib.Order.SupIndep
import Mathlib.Data.Set.Finite.Basic
import Mathlib.Algebra.BigOperators.Group.Finset.Basic
/-!
# Finite partitions
In this file, we define finite partitions. A finpartition of `a : α` is a finite set of pairwise
disjoint parts `parts : Finset α` which does not contain `⊥` and whose supremum is `a`.
Finpartitions of a finset are at the heart of Szemerédi's regularity lemma. They are also studied
purely order theoretically in Sperner theory.
## Constructions
We provide many ways to build finpartitions:
* `Finpartition.ofErase`: Builds a finpartition by erasing `⊥` for you.
* `Finpartition.ofSubset`: Builds a finpartition from a subset of the parts of a previous
finpartition.
* `Finpartition.empty`: The empty finpartition of `⊥`.
* `Finpartition.indiscrete`: The indiscrete, aka trivial, aka pure, finpartition made of a single
part.
* `Finpartition.discrete`: The discrete finpartition of `s : Finset α` made of singletons.
* `Finpartition.bind`: Puts together the finpartitions of the parts of a finpartition into a new
finpartition.
* `Finpartition.ofExistsUnique`: Builds a finpartition from a collection of parts such that each
element is in exactly one part.
* `Finpartition.ofSetoid`: With `Fintype α`, constructs the finpartition of `univ : Finset α`
induced by the equivalence classes of `s : Setoid α`.
* `Finpartition.atomise`: Makes a finpartition of `s : Finset α` by breaking `s` along all finsets
in `F : Finset (Finset α)`. Two elements of `s` belong to the same part iff they belong to the
same elements of `F`.
`Finpartition.indiscrete` and `Finpartition.bind` together form the monadic structure of
`Finpartition`.
## Implementation notes
Forbidding `⊥` as a part follows mathematical tradition and is a pragmatic choice concerning
operations on `Finpartition`. Not caring about `⊥` being a part or not breaks extensionality (it's
not because the parts of `P` and the parts of `Q` have the same elements that `P = Q`). Enforcing
`⊥` to be a part makes `Finpartition.bind` uglier and doesn't rid us of the need of
`Finpartition.ofErase`.
## TODO
The order is the wrong way around to make `Finpartition a` a graded order. Is it bad to depart from
the literature and turn the order around?
The specialisation to `Finset α` could be generalised to atomistic orders.
-/
open Finset Function
variable {α : Type*}
/-- A finite partition of `a : α` is a pairwise disjoint finite set of elements whose supremum is
`a`. We forbid `⊥` as a part. -/
@[ext]
structure Finpartition [Lattice α] [OrderBot α] (a : α) where
/-- The elements of the finite partition of `a` -/
parts : Finset α
/-- The partition is supremum-independent -/
protected supIndep : parts.SupIndep id
/-- The supremum of the partition is `a` -/
sup_parts : parts.sup id = a
/-- No element of the partition is bottom -/
not_bot_mem : ⊥ ∉ parts
deriving DecidableEq
namespace Finpartition
section Lattice
variable [Lattice α] [OrderBot α]
/-- A `Finpartition` constructor which does not insist on `⊥` not being a part. -/
@[simps]
def ofErase [DecidableEq α] {a : α} (parts : Finset α) (sup_indep : parts.SupIndep id)
(sup_parts : parts.sup id = a) : Finpartition a where
parts := parts.erase ⊥
supIndep := sup_indep.subset (erase_subset _ _)
sup_parts := (sup_erase_bot _).trans sup_parts
not_bot_mem := not_mem_erase _ _
/-- A `Finpartition` constructor from a bigger existing finpartition. -/
@[simps]
def ofSubset {a b : α} (P : Finpartition a) {parts : Finset α} (subset : parts ⊆ P.parts)
(sup_parts : parts.sup id = b) : Finpartition b :=
{ parts := parts
supIndep := P.supIndep.subset subset
sup_parts := sup_parts
not_bot_mem := fun h ↦ P.not_bot_mem (subset h) }
/-- Changes the type of a finpartition to an equal one. -/
@[simps]
def copy {a b : α} (P : Finpartition a) (h : a = b) : Finpartition b where
parts := P.parts
supIndep := P.supIndep
sup_parts := h ▸ P.sup_parts
not_bot_mem := P.not_bot_mem
/-- Transfer a finpartition over an order isomorphism. -/
def map {β : Type*} [Lattice β] [OrderBot β] {a : α} (e : α ≃o β) (P : Finpartition a) :
Finpartition (e a) where
parts := P.parts.map e
supIndep u hu _ hb hbu _ hx hxu := by
rw [← map_symm_subset] at hu
simp only [mem_map_equiv] at hb
have := P.supIndep hu hb (by simp [hbu]) (map_rel e.symm hx) ?_
· rw [← e.symm.map_bot] at this
exact e.symm.map_rel_iff.mp this
· convert e.symm.map_rel_iff.mpr hxu
rw [map_finset_sup, sup_map]
rfl
sup_parts := by simp [← P.sup_parts]
not_bot_mem := by
rw [mem_map_equiv]
convert P.not_bot_mem
exact e.symm.map_bot
@[simp]
theorem parts_map {β : Type*} [Lattice β] [OrderBot β] {a : α} {e : α ≃o β} {P : Finpartition a} :
(P.map e).parts = P.parts.map e := rfl
variable (α)
/-- The empty finpartition. -/
@[simps]
protected def empty : Finpartition (⊥ : α) where
parts := ∅
supIndep := supIndep_empty _
sup_parts := Finset.sup_empty
not_bot_mem := not_mem_empty ⊥
instance : Inhabited (Finpartition (⊥ : α)) :=
⟨Finpartition.empty α⟩
@[simp]
theorem default_eq_empty : (default : Finpartition (⊥ : α)) = Finpartition.empty α :=
rfl
variable {α} {a : α}
/-- The finpartition in one part, aka indiscrete finpartition. -/
@[simps]
def indiscrete (ha : a ≠ ⊥) : Finpartition a where
parts := {a}
supIndep := supIndep_singleton _ _
sup_parts := Finset.sup_singleton
not_bot_mem h := ha (mem_singleton.1 h).symm
variable (P : Finpartition a)
protected theorem le {b : α} (hb : b ∈ P.parts) : b ≤ a :=
(le_sup hb).trans P.sup_parts.le
theorem ne_bot {b : α} (hb : b ∈ P.parts) : b ≠ ⊥ := by
intro h
refine P.not_bot_mem (?_)
rw [h] at hb
exact hb
protected theorem disjoint : (P.parts : Set α).PairwiseDisjoint id :=
P.supIndep.pairwiseDisjoint
variable {P}
@[simp]
theorem parts_eq_empty_iff : P.parts = ∅ ↔ a = ⊥ := by
simp_rw [← P.sup_parts]
refine ⟨fun h ↦ ?_, fun h ↦ eq_empty_iff_forall_not_mem.2 fun b hb ↦ P.not_bot_mem ?_⟩
· rw [h]
exact Finset.sup_empty
· rwa [← le_bot_iff.1 ((le_sup hb).trans h.le)]
@[simp]
theorem parts_nonempty_iff : P.parts.Nonempty ↔ a ≠ ⊥ := by
rw [nonempty_iff_ne_empty, not_iff_not, parts_eq_empty_iff]
theorem parts_nonempty (P : Finpartition a) (ha : a ≠ ⊥) : P.parts.Nonempty :=
parts_nonempty_iff.2 ha
instance : Unique (Finpartition (⊥ : α)) :=
{ (inferInstance : Inhabited (Finpartition (⊥ : α))) with
uniq := fun P ↦ by
ext a
exact iff_of_false (fun h ↦ P.ne_bot h <| le_bot_iff.1 <| P.le h) (not_mem_empty a) }
-- See note [reducible non instances]
/-- There's a unique partition of an atom. -/
abbrev _root_.IsAtom.uniqueFinpartition (ha : IsAtom a) : Unique (Finpartition a) where
default := indiscrete ha.1
uniq P := by
have h : ∀ b ∈ P.parts, b = a := fun _ hb ↦
(ha.le_iff.mp <| P.le hb).resolve_left (P.ne_bot hb)
ext b
refine Iff.trans ⟨h b, ?_⟩ mem_singleton.symm
rintro rfl
obtain ⟨c, hc⟩ := P.parts_nonempty ha.1
simp_rw [← h c hc]
exact hc
instance [Fintype α] [DecidableEq α] (a : α) : Fintype (Finpartition a) :=
@Fintype.ofSurjective { p : Finset α // p.SupIndep id ∧ p.sup id = a ∧ ⊥ ∉ p } (Finpartition a) _
(Subtype.fintype _) (fun i ↦ ⟨i.1, i.2.1, i.2.2.1, i.2.2.2⟩) fun ⟨_, y, z, w⟩ ↦
⟨⟨_, y, z, w⟩, rfl⟩
/-! ### Refinement order -/
section Order
/-- We say that `P ≤ Q` if `P` refines `Q`: each part of `P` is less than some part of `Q`. -/
instance : LE (Finpartition a) :=
⟨fun P Q ↦ ∀ ⦃b⦄, b ∈ P.parts → ∃ c ∈ Q.parts, b ≤ c⟩
instance : PartialOrder (Finpartition a) :=
{ (inferInstance : LE (Finpartition a)) with
le_refl := fun _ b hb ↦ ⟨b, hb, le_rfl⟩
le_trans := fun _ Q R hPQ hQR b hb ↦ by
obtain ⟨c, hc, hbc⟩ := hPQ hb
obtain ⟨d, hd, hcd⟩ := hQR hc
exact ⟨d, hd, hbc.trans hcd⟩
le_antisymm := fun P Q hPQ hQP ↦ by
ext b
refine ⟨fun hb ↦ ?_, fun hb ↦ ?_⟩
· obtain ⟨c, hc, hbc⟩ := hPQ hb
obtain ⟨d, hd, hcd⟩ := hQP hc
rwa [hbc.antisymm]
rwa [P.disjoint.eq_of_le hb hd (P.ne_bot hb) (hbc.trans hcd)]
· obtain ⟨c, hc, hbc⟩ := hQP hb
obtain ⟨d, hd, hcd⟩ := hPQ hc
rwa [hbc.antisymm]
rwa [Q.disjoint.eq_of_le hb hd (Q.ne_bot hb) (hbc.trans hcd)] }
instance [Decidable (a = ⊥)] : OrderTop (Finpartition a) where
top := if ha : a = ⊥ then (Finpartition.empty α).copy ha.symm else indiscrete ha
le_top P := by
split_ifs with h
· intro x hx
simpa [h, P.ne_bot hx] using P.le hx
· exact fun b hb ↦ ⟨a, mem_singleton_self _, P.le hb⟩
theorem parts_top_subset (a : α) [Decidable (a = ⊥)] : (⊤ : Finpartition a).parts ⊆ {a} := by
intro b hb
have hb : b ∈ Finpartition.parts (dite _ _ _) := hb
split_ifs at hb
· simp only [copy_parts, empty_parts, not_mem_empty] at hb
· exact hb
theorem parts_top_subsingleton (a : α) [Decidable (a = ⊥)] :
((⊤ : Finpartition a).parts : Set α).Subsingleton :=
Set.subsingleton_of_subset_singleton fun _ hb ↦ mem_singleton.1 <| parts_top_subset _ hb
-- TODO: this instance takes double-exponential time to generate all partitions, find a faster way
instance [DecidableEq α] {s : Finset α} : Fintype (Finpartition s) where
elems := s.powerset.powerset.image
fun ps ↦ if h : ps.sup id = s ∧ ⊥ ∉ ps ∧ ps.SupIndep id then ⟨ps, h.2.2, h.1, h.2.1⟩ else ⊤
complete P := by
refine mem_image.mpr ⟨P.parts, ?_, ?_⟩
· rw [mem_powerset]; intro p hp; rw [mem_powerset]; exact P.le hp
· simp [P.supIndep, P.sup_parts, P.not_bot_mem, -bot_eq_empty]
end Order
end Lattice
section DistribLattice
variable [DistribLattice α] [OrderBot α]
section Inf
variable [DecidableEq α] {a b c : α}
instance : Min (Finpartition a) :=
⟨fun P Q ↦
ofErase ((P.parts ×ˢ Q.parts).image fun bc ↦ bc.1 ⊓ bc.2)
(by
rw [supIndep_iff_disjoint_erase]
simp only [mem_image, and_imp, exists_prop, forall_exists_index, id, Prod.exists,
mem_product, Finset.disjoint_sup_right, mem_erase, Ne]
rintro _ x₁ y₁ hx₁ hy₁ rfl _ h x₂ y₂ hx₂ hy₂ rfl
rcases eq_or_ne x₁ x₂ with (rfl | xdiff)
· refine Disjoint.mono inf_le_right inf_le_right (Q.disjoint hy₁ hy₂ ?_)
intro t
simp [t] at h
exact Disjoint.mono inf_le_left inf_le_left (P.disjoint hx₁ hx₂ xdiff))
(by
rw [sup_image, id_comp, sup_product_left]
trans P.parts.sup id ⊓ Q.parts.sup id
· simp_rw [Finset.sup_inf_distrib_right, Finset.sup_inf_distrib_left]
rfl
· rw [P.sup_parts, Q.sup_parts, inf_idem])⟩
@[simp]
theorem parts_inf (P Q : Finpartition a) :
(P ⊓ Q).parts = ((P.parts ×ˢ Q.parts).image fun bc : α × α ↦ bc.1 ⊓ bc.2).erase ⊥ :=
rfl
instance : SemilatticeInf (Finpartition a) :=
{ inf := Min.min
inf_le_left := fun P Q b hb ↦ by
obtain ⟨c, hc, rfl⟩ := mem_image.1 (mem_of_mem_erase hb)
rw [mem_product] at hc
exact ⟨c.1, hc.1, inf_le_left⟩
inf_le_right := fun P Q b hb ↦ by
obtain ⟨c, hc, rfl⟩ := mem_image.1 (mem_of_mem_erase hb)
rw [mem_product] at hc
exact ⟨c.2, hc.2, inf_le_right⟩
le_inf := fun P Q R hPQ hPR b hb ↦ by
obtain ⟨c, hc, hbc⟩ := hPQ hb
obtain ⟨d, hd, hbd⟩ := hPR hb
have h := _root_.le_inf hbc hbd
refine
⟨c ⊓ d,
mem_erase_of_ne_of_mem (ne_bot_of_le_ne_bot (P.ne_bot hb) h)
(mem_image.2 ⟨(c, d), mem_product.2 ⟨hc, hd⟩, rfl⟩),
h⟩ }
end Inf
theorem exists_le_of_le {a b : α} {P Q : Finpartition a} (h : P ≤ Q) (hb : b ∈ Q.parts) :
∃ c ∈ P.parts, c ≤ b := by
by_contra H
refine Q.ne_bot hb (disjoint_self.1 <| Disjoint.mono_right (Q.le hb) ?_)
rw [← P.sup_parts, Finset.disjoint_sup_right]
rintro c hc
obtain ⟨d, hd, hcd⟩ := h hc
refine (Q.disjoint hb hd ?_).mono_right hcd
rintro rfl
simp only [not_exists, not_and] at H
exact H _ hc hcd
theorem card_mono {a : α} {P Q : Finpartition a} (h : P ≤ Q) : #Q.parts ≤ #P.parts := by
classical
have : ∀ b ∈ Q.parts, ∃ c ∈ P.parts, c ≤ b := fun b ↦ exists_le_of_le h
choose f hP hf using this
rw [← card_attach]
refine card_le_card_of_injOn (fun b ↦ f _ b.2) (fun b _ ↦ hP _ b.2) fun b _ c _ h ↦ ?_
exact
Subtype.coe_injective
(Q.disjoint.elim b.2 c.2 fun H ↦
P.ne_bot (hP _ b.2) <| disjoint_self.1 <| H.mono (hf _ b.2) <| h.le.trans <| hf _ c.2)
variable [DecidableEq α] {a b c : α}
section Bind
variable {P : Finpartition a} {Q : ∀ i ∈ P.parts, Finpartition i}
/-- Given a finpartition `P` of `a` and finpartitions of each part of `P`, this yields the
finpartition of `a` obtained by juxtaposing all the subpartitions. -/
@[simps]
def bind (P : Finpartition a) (Q : ∀ i ∈ P.parts, Finpartition i) : Finpartition a where
parts := P.parts.attach.biUnion fun i ↦ (Q i.1 i.2).parts
supIndep := by
rw [supIndep_iff_pairwiseDisjoint]
rintro a ha b hb h
rw [Finset.mem_coe, Finset.mem_biUnion] at ha hb
obtain ⟨⟨A, hA⟩, -, ha⟩ := ha
obtain ⟨⟨B, hB⟩, -, hb⟩ := hb
obtain rfl | hAB := eq_or_ne A B
· exact (Q A hA).disjoint ha hb h
· exact (P.disjoint hA hB hAB).mono ((Q A hA).le ha) ((Q B hB).le hb)
sup_parts := by
simp_rw [sup_biUnion]
trans (sup P.parts id)
· rw [eq_comm, ← Finset.sup_attach]
exact sup_congr rfl fun b _hb ↦ (Q b.1 b.2).sup_parts.symm
· exact P.sup_parts
not_bot_mem h := by
rw [Finset.mem_biUnion] at h
obtain ⟨⟨A, hA⟩, -, h⟩ := h
exact (Q A hA).not_bot_mem h
theorem mem_bind : b ∈ (P.bind Q).parts ↔ ∃ A hA, b ∈ (Q A hA).parts := by
rw [bind, mem_biUnion]
constructor
· rintro ⟨⟨A, hA⟩, -, h⟩
exact ⟨A, hA, h⟩
· rintro ⟨A, hA, h⟩
exact ⟨⟨A, hA⟩, mem_attach _ ⟨A, hA⟩, h⟩
theorem card_bind (Q : ∀ i ∈ P.parts, Finpartition i) :
#(P.bind Q).parts = ∑ A ∈ P.parts.attach, #(Q _ A.2).parts := by
apply card_biUnion
rintro ⟨b, hb⟩ - ⟨c, hc⟩ - hbc
rw [Function.onFun, Finset.disjoint_left]
rintro d hdb hdc
rw [Ne, Subtype.mk_eq_mk] at hbc
exact
(Q b hb).ne_bot hdb
(eq_bot_iff.2 <|
(le_inf ((Q b hb).le hdb) <| (Q c hc).le hdc).trans <| (P.disjoint hb hc hbc).le_bot)
end Bind
/-- Adds `b` to a finpartition of `a` to make a finpartition of `a ⊔ b`. -/
@[simps]
def extend (P : Finpartition a) (hb : b ≠ ⊥) (hab : Disjoint a b) (hc : a ⊔ b = c) :
Finpartition c where
parts := insert b P.parts
supIndep := by
rw [supIndep_iff_pairwiseDisjoint, coe_insert]
exact P.disjoint.insert fun d hd _ ↦ hab.symm.mono_right <| P.le hd
sup_parts := by rwa [sup_insert, P.sup_parts, id, _root_.sup_comm]
not_bot_mem h := (mem_insert.1 h).elim hb.symm P.not_bot_mem
theorem card_extend (P : Finpartition a) (b c : α) {hb : b ≠ ⊥} {hab : Disjoint a b}
{hc : a ⊔ b = c} : #(P.extend hb hab hc).parts = #P.parts + 1 :=
card_insert_of_not_mem fun h ↦ hb <| hab.symm.eq_bot_of_le <| P.le h
end DistribLattice
section GeneralizedBooleanAlgebra
variable [GeneralizedBooleanAlgebra α] [DecidableEq α] {a b c : α} (P : Finpartition a)
/-- Restricts a finpartition to avoid a given element. -/
@[simps!]
def avoid (b : α) : Finpartition (a \ b) :=
ofErase
(P.parts.image (· \ b))
(P.disjoint.image_finset_of_le fun _ ↦ sdiff_le).supIndep
(by rw [sup_image, id_comp, Finset.sup_sdiff_right, ← Function.id_def, P.sup_parts])
@[simp]
theorem mem_avoid : c ∈ (P.avoid b).parts ↔ ∃ d ∈ P.parts, ¬d ≤ b ∧ d \ b = c := by
simp only [avoid, ofErase, mem_erase, Ne, mem_image, exists_prop, ← exists_and_left,
@and_left_comm (c ≠ ⊥)]
refine exists_congr fun d ↦ and_congr_right' <| and_congr_left ?_
rintro rfl
rw [sdiff_eq_bot_iff]
end GeneralizedBooleanAlgebra
end Finpartition
/-! ### Finite partitions of finsets -/
namespace Finpartition
variable [DecidableEq α] {s t u : Finset α} (P : Finpartition s) {a : α}
lemma subset {a : Finset α} (ha : a ∈ P.parts) : a ⊆ s := P.le ha
theorem nonempty_of_mem_parts {a : Finset α} (ha : a ∈ P.parts) : a.Nonempty :=
nonempty_iff_ne_empty.2 <| P.ne_bot ha
@[simp]
theorem not_empty_mem_parts : ∅ ∉ P.parts := P.not_bot_mem
theorem ne_empty (h : t ∈ P.parts) : t ≠ ∅ := P.ne_bot h
lemma eq_of_mem_parts (ht : t ∈ P.parts) (hu : u ∈ P.parts) (hat : a ∈ t) (hau : a ∈ u) : t = u :=
P.disjoint.elim ht hu <| not_disjoint_iff.2 ⟨a, hat, hau⟩
theorem exists_mem (ha : a ∈ s) : ∃ t ∈ P.parts, a ∈ t := by
simp_rw [← P.sup_parts] at ha
exact mem_sup.1 ha
theorem biUnion_parts : P.parts.biUnion id = s :=
(sup_eq_biUnion _ _).symm.trans P.sup_parts
theorem existsUnique_mem (ha : a ∈ s) : ∃! t, t ∈ P.parts ∧ a ∈ t := by
obtain ⟨t, ht, ht'⟩ := P.exists_mem ha
refine ⟨t, ⟨ht, ht'⟩, ?_⟩
rintro u ⟨hu, hu'⟩
exact P.eq_of_mem_parts hu ht hu' ht'
/--
Construct a `Finpartition s` from a finset of finsets `parts` such that each element of `s` is in
exactly one member of `parts`. This provides a converse to `Finpartition.subset`,
`Finpartition.not_empty_mem_parts` and `Finpartition.existsUnique_mem`.
-/
@[simps]
def ofExistsUnique (parts : Finset (Finset α)) (h : ∀ p ∈ parts, p ⊆ s)
(h' : ∀ a ∈ s, ∃! t ∈ parts, a ∈ t) (h'' : ∅ ∉ parts) :
Finpartition s where
parts := parts
supIndep := by
simp only [supIndep_iff_pairwiseDisjoint]
intro a ha b hb hab
rw [Function.onFun, Finset.disjoint_left]
intro x hx hx'
exact hab ((h' x (h _ ha hx)).unique ⟨ha, hx⟩ ⟨hb, hx'⟩)
sup_parts := by
ext i
simp only [mem_sup, id_eq]
| constructor
| Mathlib/Order/Partition/Finpartition.lean | 503 | 503 |
/-
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, Floris van Doorn
-/
import Mathlib.Data.Countable.Small
import Mathlib.Data.Fintype.BigOperators
import Mathlib.Data.Fintype.Powerset
import Mathlib.Data.Nat.Cast.Order.Basic
import Mathlib.Data.Set.Countable
import Mathlib.Logic.Equiv.Fin.Basic
import Mathlib.Logic.Small.Set
import Mathlib.Logic.UnivLE
import Mathlib.SetTheory.Cardinal.Order
/-!
# Basic results on cardinal numbers
We provide a collection of basic results on cardinal numbers, in particular focussing on
finite/countable/small types and sets.
## Main definitions
* `Cardinal.powerlt a b` or `a ^< b` is defined as the supremum of `a ^ c` for `c < b`.
## References
* <https://en.wikipedia.org/wiki/Cardinal_number>
## Tags
cardinal number, cardinal arithmetic, cardinal exponentiation, aleph,
Cantor's theorem, König's theorem, Konig's theorem
-/
assert_not_exists Field
open List (Vector)
open Function Order Set
noncomputable section
universe u v w v' w'
variable {α β : Type u}
namespace Cardinal
/-! ### Lifting cardinals to a higher universe -/
@[simp]
lemma mk_preimage_down {s : Set α} : #(ULift.down.{v} ⁻¹' s) = lift.{v} (#s) := by
rw [← mk_uLift, Cardinal.eq]
constructor
let f : ULift.down ⁻¹' s → ULift s := fun x ↦ ULift.up (restrictPreimage s ULift.down x)
have : Function.Bijective f :=
ULift.up_bijective.comp (restrictPreimage_bijective _ (ULift.down_bijective))
exact Equiv.ofBijective f this
-- `simp` can't figure out universe levels: normal form is `lift_mk_shrink'`.
theorem lift_mk_shrink (α : Type u) [Small.{v} α] :
Cardinal.lift.{max u w} #(Shrink.{v} α) = Cardinal.lift.{max v w} #α :=
lift_mk_eq.2 ⟨(equivShrink α).symm⟩
@[simp]
theorem lift_mk_shrink' (α : Type u) [Small.{v} α] :
Cardinal.lift.{u} #(Shrink.{v} α) = Cardinal.lift.{v} #α :=
lift_mk_shrink.{u, v, 0} α
@[simp]
theorem lift_mk_shrink'' (α : Type max u v) [Small.{v} α] :
Cardinal.lift.{u} #(Shrink.{v} α) = #α := by
rw [← lift_umax, lift_mk_shrink.{max u v, v, 0} α, ← lift_umax, lift_id]
theorem prod_eq_of_fintype {α : Type u} [h : Fintype α] (f : α → Cardinal.{v}) :
prod f = Cardinal.lift.{u} (∏ i, f i) := by
revert f
refine Fintype.induction_empty_option ?_ ?_ ?_ α (h_fintype := h)
· intro α β hβ e h f
letI := Fintype.ofEquiv β e.symm
rw [← e.prod_comp f, ← h]
exact mk_congr (e.piCongrLeft _).symm
· intro f
rw [Fintype.univ_pempty, Finset.prod_empty, lift_one, Cardinal.prod, mk_eq_one]
· intro α hα h f
rw [Cardinal.prod, mk_congr Equiv.piOptionEquivProd, mk_prod, lift_umax.{v, u}, mk_out, ←
Cardinal.prod, lift_prod, Fintype.prod_option, lift_mul, ← h fun a => f (some a)]
simp only [lift_id]
/-! ### Basic cardinals -/
theorem le_one_iff_subsingleton {α : Type u} : #α ≤ 1 ↔ Subsingleton α :=
⟨fun ⟨f⟩ => ⟨fun _ _ => f.injective (Subsingleton.elim _ _)⟩, fun ⟨h⟩ =>
⟨fun _ => ULift.up 0, fun _ _ _ => h _ _⟩⟩
@[simp]
theorem mk_le_one_iff_set_subsingleton {s : Set α} : #s ≤ 1 ↔ s.Subsingleton :=
le_one_iff_subsingleton.trans s.subsingleton_coe
alias ⟨_, _root_.Set.Subsingleton.cardinalMk_le_one⟩ := mk_le_one_iff_set_subsingleton
@[deprecated (since := "2024-11-10")]
alias _root_.Set.Subsingleton.cardinal_mk_le_one := Set.Subsingleton.cardinalMk_le_one
private theorem cast_succ (n : ℕ) : ((n + 1 : ℕ) : Cardinal.{u}) = n + 1 := by
change #(ULift.{u} _) = #(ULift.{u} _) + 1
rw [← mk_option]
simp
/-! ### Order properties -/
theorem one_lt_iff_nontrivial {α : Type u} : 1 < #α ↔ Nontrivial α := by
rw [← not_le, le_one_iff_subsingleton, ← not_nontrivial_iff_subsingleton, Classical.not_not]
lemma sInf_eq_zero_iff {s : Set Cardinal} : sInf s = 0 ↔ s = ∅ ∨ ∃ a ∈ s, a = 0 := by
refine ⟨fun h ↦ ?_, fun h ↦ ?_⟩
· rcases s.eq_empty_or_nonempty with rfl | hne
· exact Or.inl rfl
· exact Or.inr ⟨sInf s, csInf_mem hne, h⟩
· rcases h with rfl | ⟨a, ha, rfl⟩
· exact Cardinal.sInf_empty
· exact eq_bot_iff.2 (csInf_le' ha)
lemma iInf_eq_zero_iff {ι : Sort*} {f : ι → Cardinal} :
(⨅ i, f i) = 0 ↔ IsEmpty ι ∨ ∃ i, f i = 0 := by
simp [iInf, sInf_eq_zero_iff]
/-- A variant of `ciSup_of_empty` but with `0` on the RHS for convenience -/
protected theorem iSup_of_empty {ι} (f : ι → Cardinal) [IsEmpty ι] : iSup f = 0 :=
ciSup_of_empty f
@[simp]
theorem lift_sInf (s : Set Cardinal) : lift.{u, v} (sInf s) = sInf (lift.{u, v} '' s) := by
rcases eq_empty_or_nonempty s with (rfl | hs)
· simp
· exact lift_monotone.map_csInf hs
@[simp]
theorem lift_iInf {ι} (f : ι → Cardinal) : lift.{u, v} (iInf f) = ⨅ i, lift.{u, v} (f i) := by
unfold iInf
convert lift_sInf (range f)
simp_rw [← comp_apply (f := lift), range_comp]
end Cardinal
/-! ### Small sets of cardinals -/
namespace Cardinal
instance small_Iic (a : Cardinal.{u}) : Small.{u} (Iic a) := by
rw [← mk_out a]
apply @small_of_surjective (Set a.out) (Iic #a.out) _ fun x => ⟨#x, mk_set_le x⟩
rintro ⟨x, hx⟩
simpa using le_mk_iff_exists_set.1 hx
instance small_Iio (a : Cardinal.{u}) : Small.{u} (Iio a) := small_subset Iio_subset_Iic_self
instance small_Icc (a b : Cardinal.{u}) : Small.{u} (Icc a b) := small_subset Icc_subset_Iic_self
instance small_Ico (a b : Cardinal.{u}) : Small.{u} (Ico a b) := small_subset Ico_subset_Iio_self
instance small_Ioc (a b : Cardinal.{u}) : Small.{u} (Ioc a b) := small_subset Ioc_subset_Iic_self
instance small_Ioo (a b : Cardinal.{u}) : Small.{u} (Ioo a b) := small_subset Ioo_subset_Iio_self
/-- A set of cardinals is bounded above iff it's small, i.e. it corresponds to a usual ZFC set. -/
theorem bddAbove_iff_small {s : Set Cardinal.{u}} : BddAbove s ↔ Small.{u} s :=
⟨fun ⟨a, ha⟩ => @small_subset _ (Iic a) s (fun _ h => ha h) _, by
rintro ⟨ι, ⟨e⟩⟩
use sum.{u, u} fun x ↦ e.symm x
intro a ha
simpa using le_sum (fun x ↦ e.symm x) (e ⟨a, ha⟩)⟩
theorem bddAbove_of_small (s : Set Cardinal.{u}) [h : Small.{u} s] : BddAbove s :=
bddAbove_iff_small.2 h
theorem bddAbove_range {ι : Type*} [Small.{u} ι] (f : ι → Cardinal.{u}) : BddAbove (Set.range f) :=
bddAbove_of_small _
theorem bddAbove_image (f : Cardinal.{u} → Cardinal.{max u v}) {s : Set Cardinal.{u}}
(hs : BddAbove s) : BddAbove (f '' s) := by
rw [bddAbove_iff_small] at hs ⊢
exact small_lift _
theorem bddAbove_range_comp {ι : Type u} {f : ι → Cardinal.{v}} (hf : BddAbove (range f))
(g : Cardinal.{v} → Cardinal.{max v w}) : BddAbove (range (g ∘ f)) := by
rw [range_comp]
exact bddAbove_image g hf
/-- The type of cardinals in universe `u` is not `Small.{u}`. This is a version of the Burali-Forti
paradox. -/
theorem _root_.not_small_cardinal : ¬ Small.{u} Cardinal.{max u v} := by
intro h
have := small_lift.{_, v} Cardinal.{max u v}
rw [← small_univ_iff, ← bddAbove_iff_small] at this
exact not_bddAbove_univ this
instance uncountable : Uncountable Cardinal.{u} :=
Uncountable.of_not_small not_small_cardinal.{u}
/-! ### Bounds on suprema -/
theorem sum_le_iSup_lift {ι : Type u}
(f : ι → Cardinal.{max u v}) : sum f ≤ Cardinal.lift #ι * iSup f := by
rw [← (iSup f).lift_id, ← lift_umax, lift_umax.{max u v, u}, ← sum_const]
exact sum_le_sum _ _ (le_ciSup <| bddAbove_of_small _)
theorem sum_le_iSup {ι : Type u} (f : ι → Cardinal.{u}) : sum f ≤ #ι * iSup f := by
rw [← lift_id #ι]
exact sum_le_iSup_lift f
/-- The lift of a supremum is the supremum of the lifts. -/
theorem lift_sSup {s : Set Cardinal} (hs : BddAbove s) :
lift.{u} (sSup s) = sSup (lift.{u} '' s) := by
apply ((le_csSup_iff' (bddAbove_image.{_,u} _ hs)).2 fun c hc => _).antisymm (csSup_le' _)
· intro c hc
by_contra h
obtain ⟨d, rfl⟩ := Cardinal.mem_range_lift_of_le (not_le.1 h).le
simp_rw [lift_le] at h hc
rw [csSup_le_iff' hs] at h
exact h fun a ha => lift_le.1 <| hc (mem_image_of_mem _ ha)
· rintro i ⟨j, hj, rfl⟩
exact lift_le.2 (le_csSup hs hj)
/-- The lift of a supremum is the supremum of the lifts. -/
theorem lift_iSup {ι : Type v} {f : ι → Cardinal.{w}} (hf : BddAbove (range f)) :
lift.{u} (iSup f) = ⨆ i, lift.{u} (f i) := by
rw [iSup, iSup, lift_sSup hf, ← range_comp]
simp [Function.comp_def]
/-- To prove that the lift of a supremum is bounded by some cardinal `t`,
it suffices to show that the lift of each cardinal is bounded by `t`. -/
theorem lift_iSup_le {ι : Type v} {f : ι → Cardinal.{w}} {t : Cardinal} (hf : BddAbove (range f))
(w : ∀ i, lift.{u} (f i) ≤ t) : lift.{u} (iSup f) ≤ t := by
rw [lift_iSup hf]
exact ciSup_le' w
@[simp]
theorem lift_iSup_le_iff {ι : Type v} {f : ι → Cardinal.{w}} (hf : BddAbove (range f))
{t : Cardinal} : lift.{u} (iSup f) ≤ t ↔ ∀ i, lift.{u} (f i) ≤ t := by
rw [lift_iSup hf]
exact ciSup_le_iff' (bddAbove_range_comp.{_,_,u} hf _)
/-- To prove an inequality between the lifts to a common universe of two different supremums,
it suffices to show that the lift of each cardinal from the smaller supremum
if bounded by the lift of some cardinal from the larger supremum.
-/
theorem lift_iSup_le_lift_iSup {ι : Type v} {ι' : Type v'} {f : ι → Cardinal.{w}}
{f' : ι' → Cardinal.{w'}} (hf : BddAbove (range f)) (hf' : BddAbove (range f')) {g : ι → ι'}
(h : ∀ i, lift.{w'} (f i) ≤ lift.{w} (f' (g i))) : lift.{w'} (iSup f) ≤ lift.{w} (iSup f') := by
rw [lift_iSup hf, lift_iSup hf']
exact ciSup_mono' (bddAbove_range_comp.{_,_,w} hf' _) fun i => ⟨_, h i⟩
/-- A variant of `lift_iSup_le_lift_iSup` with universes specialized via `w = v` and `w' = v'`.
This is sometimes necessary to avoid universe unification issues. -/
theorem lift_iSup_le_lift_iSup' {ι : Type v} {ι' : Type v'} {f : ι → Cardinal.{v}}
{f' : ι' → Cardinal.{v'}} (hf : BddAbove (range f)) (hf' : BddAbove (range f')) (g : ι → ι')
(h : ∀ i, lift.{v'} (f i) ≤ lift.{v} (f' (g i))) : lift.{v'} (iSup f) ≤ lift.{v} (iSup f') :=
lift_iSup_le_lift_iSup hf hf' h
/-! ### Properties about the cast from `ℕ` -/
theorem mk_finset_of_fintype [Fintype α] : #(Finset α) = 2 ^ Fintype.card α := by
simp [Pow.pow]
@[norm_cast]
theorem nat_succ (n : ℕ) : (n.succ : Cardinal) = succ ↑n := by
rw [Nat.cast_succ]
refine (add_one_le_succ _).antisymm (succ_le_of_lt ?_)
rw [← Nat.cast_succ]
exact Nat.cast_lt.2 (Nat.lt_succ_self _)
lemma succ_natCast (n : ℕ) : Order.succ (n : Cardinal) = n + 1 := by
rw [← Cardinal.nat_succ]
norm_cast
lemma natCast_add_one_le_iff {n : ℕ} {c : Cardinal} : n + 1 ≤ c ↔ n < c := by
rw [← Order.succ_le_iff, Cardinal.succ_natCast]
lemma two_le_iff_one_lt {c : Cardinal} : 2 ≤ c ↔ 1 < c := by
convert natCast_add_one_le_iff
norm_cast
@[simp]
theorem succ_zero : succ (0 : Cardinal) = 1 := by norm_cast
-- This works generally to prove inequalities between numeric cardinals.
theorem one_lt_two : (1 : Cardinal) < 2 := by norm_cast
theorem exists_finset_le_card (α : Type*) (n : ℕ) (h : n ≤ #α) :
∃ s : Finset α, n ≤ s.card := by
obtain hα|hα := finite_or_infinite α
· let hα := Fintype.ofFinite α
use Finset.univ
simpa only [mk_fintype, Nat.cast_le] using h
· obtain ⟨s, hs⟩ := Infinite.exists_subset_card_eq α n
exact ⟨s, hs.ge⟩
theorem card_le_of {α : Type u} {n : ℕ} (H : ∀ s : Finset α, s.card ≤ n) : #α ≤ n := by
contrapose! H
apply exists_finset_le_card α (n+1)
simpa only [nat_succ, succ_le_iff] using H
theorem cantor' (a) {b : Cardinal} (hb : 1 < b) : a < b ^ a := by
rw [← succ_le_iff, (by norm_cast : succ (1 : Cardinal) = 2)] at hb
exact (cantor a).trans_le (power_le_power_right hb)
theorem one_le_iff_pos {c : Cardinal} : 1 ≤ c ↔ 0 < c := by
rw [← succ_zero, succ_le_iff]
theorem one_le_iff_ne_zero {c : Cardinal} : 1 ≤ c ↔ c ≠ 0 := by
rw [one_le_iff_pos, pos_iff_ne_zero]
@[simp]
theorem lt_one_iff_zero {c : Cardinal} : c < 1 ↔ c = 0 := by
simpa using lt_succ_bot_iff (a := c)
/-! ### Properties about `aleph0` -/
theorem nat_lt_aleph0 (n : ℕ) : (n : Cardinal.{u}) < ℵ₀ :=
succ_le_iff.1
(by
rw [← nat_succ, ← lift_mk_fin, aleph0, lift_mk_le.{u}]
exact ⟨⟨(↑), fun a b => Fin.ext⟩⟩)
@[simp]
theorem one_lt_aleph0 : 1 < ℵ₀ := by simpa using nat_lt_aleph0 1
@[simp]
theorem one_le_aleph0 : 1 ≤ ℵ₀ :=
one_lt_aleph0.le
theorem lt_aleph0 {c : Cardinal} : c < ℵ₀ ↔ ∃ n : ℕ, c = n :=
⟨fun h => by
rcases lt_lift_iff.1 h with ⟨c, h', rfl⟩
rcases le_mk_iff_exists_set.1 h'.1 with ⟨S, rfl⟩
suffices S.Finite by
lift S to Finset ℕ using this
simp
contrapose! h'
haveI := Infinite.to_subtype h'
exact ⟨Infinite.natEmbedding S⟩, fun ⟨_, e⟩ => e.symm ▸ nat_lt_aleph0 _⟩
lemma succ_eq_of_lt_aleph0 {c : Cardinal} (h : c < ℵ₀) : Order.succ c = c + 1 := by
obtain ⟨n, hn⟩ := Cardinal.lt_aleph0.mp h
rw [hn, succ_natCast]
theorem aleph0_le {c : Cardinal} : ℵ₀ ≤ c ↔ ∀ n : ℕ, ↑n ≤ c :=
⟨fun h _ => (nat_lt_aleph0 _).le.trans h, fun h =>
le_of_not_lt fun hn => by
rcases lt_aleph0.1 hn with ⟨n, rfl⟩
exact (Nat.lt_succ_self _).not_le (Nat.cast_le.1 (h (n + 1)))⟩
theorem isSuccPrelimit_aleph0 : IsSuccPrelimit ℵ₀ :=
isSuccPrelimit_of_succ_lt fun a ha => by
rcases lt_aleph0.1 ha with ⟨n, rfl⟩
rw [← nat_succ]
apply nat_lt_aleph0
theorem isSuccLimit_aleph0 : IsSuccLimit ℵ₀ := by
rw [Cardinal.isSuccLimit_iff]
exact ⟨aleph0_ne_zero, isSuccPrelimit_aleph0⟩
lemma not_isSuccLimit_natCast : (n : ℕ) → ¬ IsSuccLimit (n : Cardinal.{u})
| 0, e => e.1 isMin_bot
| Nat.succ n, e => Order.not_isSuccPrelimit_succ _ (nat_succ n ▸ e.2)
theorem not_isSuccLimit_of_lt_aleph0 {c : Cardinal} (h : c < ℵ₀) : ¬ IsSuccLimit c := by
obtain ⟨n, rfl⟩ := lt_aleph0.1 h
exact not_isSuccLimit_natCast n
theorem aleph0_le_of_isSuccLimit {c : Cardinal} (h : IsSuccLimit c) : ℵ₀ ≤ c := by
contrapose! h
exact not_isSuccLimit_of_lt_aleph0 h
theorem isStrongLimit_aleph0 : IsStrongLimit ℵ₀ := by
refine ⟨aleph0_ne_zero, fun x hx ↦ ?_⟩
obtain ⟨n, rfl⟩ := lt_aleph0.1 hx
exact_mod_cast nat_lt_aleph0 _
theorem IsStrongLimit.aleph0_le {c} (H : IsStrongLimit c) : ℵ₀ ≤ c :=
aleph0_le_of_isSuccLimit H.isSuccLimit
lemma exists_eq_natCast_of_iSup_eq {ι : Type u} [Nonempty ι] (f : ι → Cardinal.{v})
(hf : BddAbove (range f)) (n : ℕ) (h : ⨆ i, f i = n) : ∃ i, f i = n :=
exists_eq_of_iSup_eq_of_not_isSuccLimit.{u, v} f hf (not_isSuccLimit_natCast n) h
@[simp]
theorem range_natCast : range ((↑) : ℕ → Cardinal) = Iio ℵ₀ :=
ext fun x => by simp only [mem_Iio, mem_range, eq_comm, lt_aleph0]
theorem mk_eq_nat_iff {α : Type u} {n : ℕ} : #α = n ↔ Nonempty (α ≃ Fin n) := by
rw [← lift_mk_fin, ← lift_uzero #α, lift_mk_eq']
theorem lt_aleph0_iff_finite {α : Type u} : #α < ℵ₀ ↔ Finite α := by
simp only [lt_aleph0, mk_eq_nat_iff, finite_iff_exists_equiv_fin]
theorem lt_aleph0_iff_fintype {α : Type u} : #α < ℵ₀ ↔ Nonempty (Fintype α) :=
lt_aleph0_iff_finite.trans (finite_iff_nonempty_fintype _)
theorem lt_aleph0_of_finite (α : Type u) [Finite α] : #α < ℵ₀ :=
lt_aleph0_iff_finite.2 ‹_›
theorem lt_aleph0_iff_set_finite {S : Set α} : #S < ℵ₀ ↔ S.Finite :=
lt_aleph0_iff_finite.trans finite_coe_iff
alias ⟨_, _root_.Set.Finite.lt_aleph0⟩ := lt_aleph0_iff_set_finite
@[simp]
theorem lt_aleph0_iff_subtype_finite {p : α → Prop} : #{ x // p x } < ℵ₀ ↔ { x | p x }.Finite :=
lt_aleph0_iff_set_finite
theorem mk_le_aleph0_iff : #α ≤ ℵ₀ ↔ Countable α := by
rw [countable_iff_nonempty_embedding, aleph0, ← lift_uzero #α, lift_mk_le']
@[simp]
theorem mk_le_aleph0 [Countable α] : #α ≤ ℵ₀ :=
mk_le_aleph0_iff.mpr ‹_›
theorem le_aleph0_iff_set_countable {s : Set α} : #s ≤ ℵ₀ ↔ s.Countable := mk_le_aleph0_iff
alias ⟨_, _root_.Set.Countable.le_aleph0⟩ := le_aleph0_iff_set_countable
@[simp]
theorem le_aleph0_iff_subtype_countable {p : α → Prop} :
#{ x // p x } ≤ ℵ₀ ↔ { x | p x }.Countable :=
le_aleph0_iff_set_countable
theorem aleph0_lt_mk_iff : ℵ₀ < #α ↔ Uncountable α := by
rw [← not_le, ← not_countable_iff, not_iff_not, mk_le_aleph0_iff]
@[simp]
theorem aleph0_lt_mk [Uncountable α] : ℵ₀ < #α :=
aleph0_lt_mk_iff.mpr ‹_›
instance canLiftCardinalNat : CanLift Cardinal ℕ (↑) fun x => x < ℵ₀ :=
⟨fun _ hx =>
let ⟨n, hn⟩ := lt_aleph0.mp hx
⟨n, hn.symm⟩⟩
theorem add_lt_aleph0 {a b : Cardinal} (ha : a < ℵ₀) (hb : b < ℵ₀) : a + b < ℵ₀ :=
match a, b, lt_aleph0.1 ha, lt_aleph0.1 hb with
| _, _, ⟨m, rfl⟩, ⟨n, rfl⟩ => by rw [← Nat.cast_add]; apply nat_lt_aleph0
theorem add_lt_aleph0_iff {a b : Cardinal} : a + b < ℵ₀ ↔ a < ℵ₀ ∧ b < ℵ₀ :=
⟨fun h => ⟨(self_le_add_right _ _).trans_lt h, (self_le_add_left _ _).trans_lt h⟩,
fun ⟨h1, h2⟩ => add_lt_aleph0 h1 h2⟩
theorem aleph0_le_add_iff {a b : Cardinal} : ℵ₀ ≤ a + b ↔ ℵ₀ ≤ a ∨ ℵ₀ ≤ b := by
simp only [← not_lt, add_lt_aleph0_iff, not_and_or]
/-- See also `Cardinal.nsmul_lt_aleph0_iff_of_ne_zero` if you already have `n ≠ 0`. -/
theorem nsmul_lt_aleph0_iff {n : ℕ} {a : Cardinal} : n • a < ℵ₀ ↔ n = 0 ∨ a < ℵ₀ := by
cases n with
| zero => simpa using nat_lt_aleph0 0
| succ n =>
simp only [Nat.succ_ne_zero, false_or]
induction' n with n ih
· simp
rw [succ_nsmul, add_lt_aleph0_iff, ih, and_self_iff]
/-- See also `Cardinal.nsmul_lt_aleph0_iff` for a hypothesis-free version. -/
theorem nsmul_lt_aleph0_iff_of_ne_zero {n : ℕ} {a : Cardinal} (h : n ≠ 0) : n • a < ℵ₀ ↔ a < ℵ₀ :=
nsmul_lt_aleph0_iff.trans <| or_iff_right h
theorem mul_lt_aleph0 {a b : Cardinal} (ha : a < ℵ₀) (hb : b < ℵ₀) : a * b < ℵ₀ :=
match a, b, lt_aleph0.1 ha, lt_aleph0.1 hb with
| _, _, ⟨m, rfl⟩, ⟨n, rfl⟩ => by rw [← Nat.cast_mul]; apply nat_lt_aleph0
theorem mul_lt_aleph0_iff {a b : Cardinal} : a * b < ℵ₀ ↔ a = 0 ∨ b = 0 ∨ a < ℵ₀ ∧ b < ℵ₀ := by
refine ⟨fun h => ?_, ?_⟩
· by_cases ha : a = 0
· exact Or.inl ha
right
by_cases hb : b = 0
· exact Or.inl hb
right
rw [← Ne, ← one_le_iff_ne_zero] at ha hb
constructor
· rw [← mul_one a]
exact (mul_le_mul' le_rfl hb).trans_lt h
· rw [← one_mul b]
exact (mul_le_mul' ha le_rfl).trans_lt h
rintro (rfl | rfl | ⟨ha, hb⟩) <;> simp only [*, mul_lt_aleph0, aleph0_pos, zero_mul, mul_zero]
/-- See also `Cardinal.aleph0_le_mul_iff`. -/
theorem aleph0_le_mul_iff {a b : Cardinal} : ℵ₀ ≤ a * b ↔ a ≠ 0 ∧ b ≠ 0 ∧ (ℵ₀ ≤ a ∨ ℵ₀ ≤ b) := by
let h := (@mul_lt_aleph0_iff a b).not
rwa [not_lt, not_or, not_or, not_and_or, not_lt, not_lt] at h
/-- See also `Cardinal.aleph0_le_mul_iff'`. -/
theorem aleph0_le_mul_iff' {a b : Cardinal.{u}} : ℵ₀ ≤ a * b ↔ a ≠ 0 ∧ ℵ₀ ≤ b ∨ ℵ₀ ≤ a ∧ b ≠ 0 := by
have : ∀ {a : Cardinal.{u}}, ℵ₀ ≤ a → a ≠ 0 := fun a => ne_bot_of_le_ne_bot aleph0_ne_zero a
simp only [aleph0_le_mul_iff, and_or_left, and_iff_right_of_imp this, @and_left_comm (a ≠ 0)]
simp only [and_comm, or_comm]
theorem mul_lt_aleph0_iff_of_ne_zero {a b : Cardinal} (ha : a ≠ 0) (hb : b ≠ 0) :
a * b < ℵ₀ ↔ a < ℵ₀ ∧ b < ℵ₀ := by simp [mul_lt_aleph0_iff, ha, hb]
theorem power_lt_aleph0 {a b : Cardinal} (ha : a < ℵ₀) (hb : b < ℵ₀) : a ^ b < ℵ₀ :=
match a, b, lt_aleph0.1 ha, lt_aleph0.1 hb with
| _, _, ⟨m, rfl⟩, ⟨n, rfl⟩ => by rw [power_natCast, ← Nat.cast_pow]; apply nat_lt_aleph0
theorem eq_one_iff_unique {α : Type*} : #α = 1 ↔ Subsingleton α ∧ Nonempty α :=
calc
#α = 1 ↔ #α ≤ 1 ∧ 1 ≤ #α := le_antisymm_iff
_ ↔ Subsingleton α ∧ Nonempty α :=
le_one_iff_subsingleton.and (one_le_iff_ne_zero.trans mk_ne_zero_iff)
theorem infinite_iff {α : Type u} : Infinite α ↔ ℵ₀ ≤ #α := by
rw [← not_lt, lt_aleph0_iff_finite, not_finite_iff_infinite]
lemma aleph0_le_mk_iff : ℵ₀ ≤ #α ↔ Infinite α := infinite_iff.symm
lemma mk_lt_aleph0_iff : #α < ℵ₀ ↔ Finite α := by simp [← not_le, aleph0_le_mk_iff]
@[simp] lemma mk_lt_aleph0 [Finite α] : #α < ℵ₀ := mk_lt_aleph0_iff.2 ‹_›
@[simp]
theorem aleph0_le_mk (α : Type u) [Infinite α] : ℵ₀ ≤ #α :=
infinite_iff.1 ‹_›
@[simp]
theorem mk_eq_aleph0 (α : Type*) [Countable α] [Infinite α] : #α = ℵ₀ :=
mk_le_aleph0.antisymm <| aleph0_le_mk _
theorem denumerable_iff {α : Type u} : Nonempty (Denumerable α) ↔ #α = ℵ₀ :=
⟨fun ⟨h⟩ => mk_congr ((@Denumerable.eqv α h).trans Equiv.ulift.symm), fun h => by
obtain ⟨f⟩ := Quotient.exact h
exact ⟨Denumerable.mk' <| f.trans Equiv.ulift⟩⟩
theorem mk_denumerable (α : Type u) [Denumerable α] : #α = ℵ₀ :=
denumerable_iff.1 ⟨‹_›⟩
theorem _root_.Set.countable_infinite_iff_nonempty_denumerable {α : Type*} {s : Set α} :
s.Countable ∧ s.Infinite ↔ Nonempty (Denumerable s) := by
rw [nonempty_denumerable_iff, ← Set.infinite_coe_iff, countable_coe_iff]
@[simp]
theorem aleph0_add_aleph0 : ℵ₀ + ℵ₀ = ℵ₀ :=
mk_denumerable _
theorem aleph0_mul_aleph0 : ℵ₀ * ℵ₀ = ℵ₀ :=
mk_denumerable _
@[simp]
theorem nat_mul_aleph0 {n : ℕ} (hn : n ≠ 0) : ↑n * ℵ₀ = ℵ₀ :=
le_antisymm (lift_mk_fin n ▸ mk_le_aleph0) <|
le_mul_of_one_le_left (zero_le _) <| by
rwa [← Nat.cast_one, Nat.cast_le, Nat.one_le_iff_ne_zero]
@[simp]
theorem aleph0_mul_nat {n : ℕ} (hn : n ≠ 0) : ℵ₀ * n = ℵ₀ := by rw [mul_comm, nat_mul_aleph0 hn]
@[simp]
theorem ofNat_mul_aleph0 {n : ℕ} [Nat.AtLeastTwo n] : ofNat(n) * ℵ₀ = ℵ₀ :=
nat_mul_aleph0 (NeZero.ne n)
@[simp]
theorem aleph0_mul_ofNat {n : ℕ} [Nat.AtLeastTwo n] : ℵ₀ * ofNat(n) = ℵ₀ :=
aleph0_mul_nat (NeZero.ne n)
@[simp]
theorem add_le_aleph0 {c₁ c₂ : Cardinal} : c₁ + c₂ ≤ ℵ₀ ↔ c₁ ≤ ℵ₀ ∧ c₂ ≤ ℵ₀ :=
⟨fun h => ⟨le_self_add.trans h, le_add_self.trans h⟩, fun h =>
aleph0_add_aleph0 ▸ add_le_add h.1 h.2⟩
@[simp]
theorem aleph0_add_nat (n : ℕ) : ℵ₀ + n = ℵ₀ :=
(add_le_aleph0.2 ⟨le_rfl, (nat_lt_aleph0 n).le⟩).antisymm le_self_add
@[simp]
theorem nat_add_aleph0 (n : ℕ) : ↑n + ℵ₀ = ℵ₀ := by rw [add_comm, aleph0_add_nat]
@[simp]
theorem ofNat_add_aleph0 {n : ℕ} [Nat.AtLeastTwo n] : ofNat(n) + ℵ₀ = ℵ₀ :=
nat_add_aleph0 n
@[simp]
theorem aleph0_add_ofNat {n : ℕ} [Nat.AtLeastTwo n] : ℵ₀ + ofNat(n) = ℵ₀ :=
aleph0_add_nat n
theorem exists_nat_eq_of_le_nat {c : Cardinal} {n : ℕ} (h : c ≤ n) : ∃ m, m ≤ n ∧ c = m := by
lift c to ℕ using h.trans_lt (nat_lt_aleph0 _)
exact ⟨c, mod_cast h, rfl⟩
theorem mk_int : #ℤ = ℵ₀ :=
mk_denumerable ℤ
theorem mk_pnat : #ℕ+ = ℵ₀ :=
mk_denumerable ℕ+
@[deprecated (since := "2025-04-27")]
alias mk_pNat := mk_pnat
/-! ### Cardinalities of basic sets and types -/
@[simp] theorem mk_additive : #(Additive α) = #α := rfl
@[simp] theorem mk_multiplicative : #(Multiplicative α) = #α := rfl
@[to_additive (attr := simp)] theorem mk_mulOpposite : #(MulOpposite α) = #α :=
mk_congr MulOpposite.opEquiv.symm
theorem mk_singleton {α : Type u} (x : α) : #({x} : Set α) = 1 :=
mk_eq_one _
@[simp]
theorem mk_vector (α : Type u) (n : ℕ) : #(List.Vector α n) = #α ^ n :=
(mk_congr (Equiv.vectorEquivFin α n)).trans <| by simp
theorem mk_list_eq_sum_pow (α : Type u) : #(List α) = sum fun n : ℕ => #α ^ n :=
calc
#(List α) = #(Σn, List.Vector α n) := mk_congr (Equiv.sigmaFiberEquiv List.length).symm
_ = sum fun n : ℕ => #α ^ n := by simp
theorem mk_quot_le {α : Type u} {r : α → α → Prop} : #(Quot r) ≤ #α :=
mk_le_of_surjective Quot.exists_rep
theorem mk_quotient_le {α : Type u} {s : Setoid α} : #(Quotient s) ≤ #α :=
mk_quot_le
theorem mk_subtype_le_of_subset {α : Type u} {p q : α → Prop} (h : ∀ ⦃x⦄, p x → q x) :
#(Subtype p) ≤ #(Subtype q) :=
⟨Embedding.subtypeMap (Embedding.refl α) h⟩
theorem mk_emptyCollection (α : Type u) : #(∅ : Set α) = 0 :=
mk_eq_zero _
theorem mk_emptyCollection_iff {α : Type u} {s : Set α} : #s = 0 ↔ s = ∅ := by
constructor
· intro h
rw [mk_eq_zero_iff] at h
exact eq_empty_iff_forall_not_mem.2 fun x hx => h.elim' ⟨x, hx⟩
· rintro rfl
exact mk_emptyCollection _
@[simp]
theorem mk_univ {α : Type u} : #(@univ α) = #α :=
mk_congr (Equiv.Set.univ α)
@[simp] lemma mk_setProd {α β : Type u} (s : Set α) (t : Set β) : #(s ×ˢ t) = #s * #t := by
rw [mul_def, mk_congr (Equiv.Set.prod ..)]
theorem mk_image_le {α β : Type u} {f : α → β} {s : Set α} : #(f '' s) ≤ #s :=
mk_le_of_surjective surjective_onto_image
lemma mk_image2_le {α β γ : Type u} {f : α → β → γ} {s : Set α} {t : Set β} :
#(image2 f s t) ≤ #s * #t := by
rw [← image_uncurry_prod, ← mk_setProd]
exact mk_image_le
theorem mk_image_le_lift {α : Type u} {β : Type v} {f : α → β} {s : Set α} :
lift.{u} #(f '' s) ≤ lift.{v} #s :=
lift_mk_le.{0}.mpr ⟨Embedding.ofSurjective _ surjective_onto_image⟩
theorem mk_range_le {α β : Type u} {f : α → β} : #(range f) ≤ #α :=
mk_le_of_surjective surjective_onto_range
theorem mk_range_le_lift {α : Type u} {β : Type v} {f : α → β} :
lift.{u} #(range f) ≤ lift.{v} #α :=
lift_mk_le.{0}.mpr ⟨Embedding.ofSurjective _ surjective_onto_range⟩
theorem mk_range_eq (f : α → β) (h : Injective f) : #(range f) = #α :=
mk_congr (Equiv.ofInjective f h).symm
theorem mk_range_eq_lift {α : Type u} {β : Type v} {f : α → β} (hf : Injective f) :
lift.{max u w} #(range f) = lift.{max v w} #α :=
lift_mk_eq.{v,u,w}.mpr ⟨(Equiv.ofInjective f hf).symm⟩
theorem mk_range_eq_of_injective {α : Type u} {β : Type v} {f : α → β} (hf : Injective f) :
lift.{u} #(range f) = lift.{v} #α :=
lift_mk_eq'.mpr ⟨(Equiv.ofInjective f hf).symm⟩
lemma lift_mk_le_lift_mk_of_injective {α : Type u} {β : Type v} {f : α → β} (hf : Injective f) :
Cardinal.lift.{v} (#α) ≤ Cardinal.lift.{u} (#β) := by
rw [← Cardinal.mk_range_eq_of_injective hf]
exact Cardinal.lift_le.2 (Cardinal.mk_set_le _)
lemma lift_mk_le_lift_mk_of_surjective {α : Type u} {β : Type v} {f : α → β} (hf : Surjective f) :
Cardinal.lift.{u} (#β) ≤ Cardinal.lift.{v} (#α) :=
lift_mk_le_lift_mk_of_injective (injective_surjInv hf)
theorem mk_image_eq_of_injOn {α β : Type u} (f : α → β) (s : Set α) (h : InjOn f s) :
#(f '' s) = #s :=
mk_congr (Equiv.Set.imageOfInjOn f s h).symm
theorem mk_image_eq_of_injOn_lift {α : Type u} {β : Type v} (f : α → β) (s : Set α)
(h : InjOn f s) : lift.{u} #(f '' s) = lift.{v} #s :=
lift_mk_eq.{v, u, 0}.mpr ⟨(Equiv.Set.imageOfInjOn f s h).symm⟩
theorem mk_image_eq {α β : Type u} {f : α → β} {s : Set α} (hf : Injective f) : #(f '' s) = #s :=
mk_image_eq_of_injOn _ _ hf.injOn
theorem mk_image_eq_lift {α : Type u} {β : Type v} (f : α → β) (s : Set α) (h : Injective f) :
lift.{u} #(f '' s) = lift.{v} #s :=
mk_image_eq_of_injOn_lift _ _ h.injOn
@[simp]
theorem mk_image_embedding_lift {β : Type v} (f : α ↪ β) (s : Set α) :
lift.{u} #(f '' s) = lift.{v} #s :=
mk_image_eq_lift _ _ f.injective
@[simp]
theorem mk_image_embedding (f : α ↪ β) (s : Set α) : #(f '' s) = #s := by
simpa using mk_image_embedding_lift f s
theorem mk_iUnion_le_sum_mk {α ι : Type u} {f : ι → Set α} : #(⋃ i, f i) ≤ sum fun i => #(f i) :=
calc
#(⋃ i, f i) ≤ #(Σi, f i) := mk_le_of_surjective (Set.sigmaToiUnion_surjective f)
_ = sum fun i => #(f i) := mk_sigma _
theorem mk_iUnion_le_sum_mk_lift {α : Type u} {ι : Type v} {f : ι → Set α} :
lift.{v} #(⋃ i, f i) ≤ sum fun i => #(f i) :=
calc
lift.{v} #(⋃ i, f i) ≤ #(Σi, f i) :=
mk_le_of_surjective <| ULift.up_surjective.comp (Set.sigmaToiUnion_surjective f)
_ = sum fun i => #(f i) := mk_sigma _
theorem mk_iUnion_eq_sum_mk {α ι : Type u} {f : ι → Set α}
(h : Pairwise (Disjoint on f)) : #(⋃ i, f i) = sum fun i => #(f i) :=
calc
#(⋃ i, f i) = #(Σi, f i) := mk_congr (Set.unionEqSigmaOfDisjoint h)
_ = sum fun i => #(f i) := mk_sigma _
theorem mk_iUnion_eq_sum_mk_lift {α : Type u} {ι : Type v} {f : ι → Set α}
(h : Pairwise (Disjoint on f)) :
lift.{v} #(⋃ i, f i) = sum fun i => #(f i) :=
calc
lift.{v} #(⋃ i, f i) = #(Σi, f i) :=
mk_congr <| .trans Equiv.ulift (Set.unionEqSigmaOfDisjoint h)
_ = sum fun i => #(f i) := mk_sigma _
theorem mk_iUnion_le {α ι : Type u} (f : ι → Set α) : #(⋃ i, f i) ≤ #ι * ⨆ i, #(f i) :=
mk_iUnion_le_sum_mk.trans (sum_le_iSup _)
theorem mk_iUnion_le_lift {α : Type u} {ι : Type v} (f : ι → Set α) :
lift.{v} #(⋃ i, f i) ≤ lift.{u} #ι * ⨆ i, lift.{v} #(f i) := by
refine mk_iUnion_le_sum_mk_lift.trans <| Eq.trans_le ?_ (sum_le_iSup_lift _)
rw [← lift_sum, lift_id'.{_,u}]
theorem mk_sUnion_le {α : Type u} (A : Set (Set α)) : #(⋃₀ A) ≤ #A * ⨆ s : A, #s := by
rw [sUnion_eq_iUnion]
apply mk_iUnion_le
theorem mk_biUnion_le {ι α : Type u} (A : ι → Set α) (s : Set ι) :
#(⋃ x ∈ s, A x) ≤ #s * ⨆ x : s, #(A x.1) := by
rw [biUnion_eq_iUnion]
apply mk_iUnion_le
theorem mk_biUnion_le_lift {α : Type u} {ι : Type v} (A : ι → Set α) (s : Set ι) :
lift.{v} #(⋃ x ∈ s, A x) ≤ lift.{u} #s * ⨆ x : s, lift.{v} #(A x.1) := by
rw [biUnion_eq_iUnion]
apply mk_iUnion_le_lift
theorem finset_card_lt_aleph0 (s : Finset α) : #(↑s : Set α) < ℵ₀ :=
lt_aleph0_of_finite _
theorem mk_set_eq_nat_iff_finset {α} {s : Set α} {n : ℕ} :
#s = n ↔ ∃ t : Finset α, (t : Set α) = s ∧ t.card = n := by
constructor
· intro h
lift s to Finset α using lt_aleph0_iff_set_finite.1 (h.symm ▸ nat_lt_aleph0 n)
simpa using h
· rintro ⟨t, rfl, rfl⟩
exact mk_coe_finset
theorem mk_eq_nat_iff_finset {n : ℕ} :
#α = n ↔ ∃ t : Finset α, (t : Set α) = univ ∧ t.card = n := by
rw [← mk_univ, mk_set_eq_nat_iff_finset]
theorem mk_eq_nat_iff_fintype {n : ℕ} : #α = n ↔ ∃ h : Fintype α, @Fintype.card α h = n := by
rw [mk_eq_nat_iff_finset]
constructor
· rintro ⟨t, ht, hn⟩
exact ⟨⟨t, eq_univ_iff_forall.1 ht⟩, hn⟩
· rintro ⟨⟨t, ht⟩, hn⟩
exact ⟨t, eq_univ_iff_forall.2 ht, hn⟩
theorem mk_union_add_mk_inter {α : Type u} {S T : Set α} :
#(S ∪ T : Set α) + #(S ∩ T : Set α) = #S + #T := by
classical
exact Quot.sound ⟨Equiv.Set.unionSumInter S T⟩
/-- The cardinality of a union is at most the sum of the cardinalities
of the two sets. -/
theorem mk_union_le {α : Type u} (S T : Set α) : #(S ∪ T : Set α) ≤ #S + #T :=
@mk_union_add_mk_inter α S T ▸ self_le_add_right #(S ∪ T : Set α) #(S ∩ T : Set α)
theorem mk_union_of_disjoint {α : Type u} {S T : Set α} (H : Disjoint S T) :
#(S ∪ T : Set α) = #S + #T := by
classical
exact Quot.sound ⟨Equiv.Set.union H⟩
theorem mk_insert {α : Type u} {s : Set α} {a : α} (h : a ∉ s) :
#(insert a s : Set α) = #s + 1 := by
rw [← union_singleton, mk_union_of_disjoint, mk_singleton]
simpa
theorem mk_insert_le {α : Type u} {s : Set α} {a : α} : #(insert a s : Set α) ≤ #s + 1 := by
by_cases h : a ∈ s
· simp only [insert_eq_of_mem h, self_le_add_right]
· rw [mk_insert h]
theorem mk_sum_compl {α} (s : Set α) : #s + #(sᶜ : Set α) = #α := by
classical
exact mk_congr (Equiv.Set.sumCompl s)
theorem mk_le_mk_of_subset {α} {s t : Set α} (h : s ⊆ t) : #s ≤ #t :=
⟨Set.embeddingOfSubset s t h⟩
theorem mk_le_iff_forall_finset_subset_card_le {α : Type u} {n : ℕ} {t : Set α} :
#t ≤ n ↔ ∀ s : Finset α, (s : Set α) ⊆ t → s.card ≤ n := by
refine ⟨fun H s hs ↦ by simpa using (mk_le_mk_of_subset hs).trans H, fun H ↦ ?_⟩
apply card_le_of (fun s ↦ ?_)
classical
let u : Finset α := s.image Subtype.val
have : u.card = s.card := Finset.card_image_of_injOn Subtype.coe_injective.injOn
rw [← this]
apply H
simp only [u, Finset.coe_image, image_subset_iff, Subtype.coe_preimage_self, subset_univ]
theorem mk_subtype_mono {p q : α → Prop} (h : ∀ x, p x → q x) :
#{ x // p x } ≤ #{ x // q x } :=
⟨embeddingOfSubset _ _ h⟩
theorem le_mk_diff_add_mk (S T : Set α) : #S ≤ #(S \ T : Set α) + #T :=
(mk_le_mk_of_subset <| subset_diff_union _ _).trans <| mk_union_le _ _
theorem mk_diff_add_mk {S T : Set α} (h : T ⊆ S) : #(S \ T : Set α) + #T = #S := by
refine (mk_union_of_disjoint <| ?_).symm.trans <| by rw [diff_union_of_subset h]
exact disjoint_sdiff_self_left
theorem mk_union_le_aleph0 {α} {P Q : Set α} :
#(P ∪ Q : Set α) ≤ ℵ₀ ↔ #P ≤ ℵ₀ ∧ #Q ≤ ℵ₀ := by
simp only [le_aleph0_iff_subtype_countable, mem_union, setOf_mem_eq, Set.union_def,
← countable_union]
theorem mk_sep (s : Set α) (t : α → Prop) : #({ x ∈ s | t x } : Set α) = #{ x : s | t x.1 } :=
mk_congr (Equiv.Set.sep s t)
theorem mk_preimage_of_injective_lift {α : Type u} {β : Type v} (f : α → β) (s : Set β)
(h : Injective f) : lift.{v} #(f ⁻¹' s) ≤ lift.{u} #s := by
rw [lift_mk_le.{0}]
-- Porting note: Needed to insert `mem_preimage.mp` below
use Subtype.coind (fun x => f x.1) fun x => mem_preimage.mp x.2
apply Subtype.coind_injective; exact h.comp Subtype.val_injective
theorem mk_preimage_of_subset_range_lift {α : Type u} {β : Type v} (f : α → β) (s : Set β)
(h : s ⊆ range f) : lift.{u} #s ≤ lift.{v} #(f ⁻¹' s) := by
rw [← image_preimage_eq_iff] at h
nth_rewrite 1 [← h]
apply mk_image_le_lift
theorem mk_preimage_of_injective_of_subset_range_lift {β : Type v} (f : α → β) (s : Set β)
(h : Injective f) (h2 : s ⊆ range f) : lift.{v} #(f ⁻¹' s) = lift.{u} #s :=
le_antisymm (mk_preimage_of_injective_lift f s h) (mk_preimage_of_subset_range_lift f s h2)
theorem mk_preimage_of_injective_of_subset_range (f : α → β) (s : Set β) (h : Injective f)
(h2 : s ⊆ range f) : #(f ⁻¹' s) = #s := by
convert mk_preimage_of_injective_of_subset_range_lift.{u, u} f s h h2 using 1 <;> rw [lift_id]
@[simp]
theorem mk_preimage_equiv_lift {β : Type v} (f : α ≃ β) (s : Set β) :
lift.{v} #(f ⁻¹' s) = lift.{u} #s := by
apply mk_preimage_of_injective_of_subset_range_lift _ _ f.injective
rw [f.range_eq_univ]
exact fun _ _ ↦ ⟨⟩
@[simp]
theorem mk_preimage_equiv (f : α ≃ β) (s : Set β) : #(f ⁻¹' s) = #s := by
simpa using mk_preimage_equiv_lift f s
theorem mk_preimage_of_injective (f : α → β) (s : Set β) (h : Injective f) :
#(f ⁻¹' s) ≤ #s := by
rw [← lift_id #(↑(f ⁻¹' s)), ← lift_id #(↑s)]
exact mk_preimage_of_injective_lift f s h
theorem mk_preimage_of_subset_range (f : α → β) (s : Set β) (h : s ⊆ range f) :
#s ≤ #(f ⁻¹' s) := by
rw [← lift_id #(↑(f ⁻¹' s)), ← lift_id #(↑s)]
exact mk_preimage_of_subset_range_lift f s h
theorem mk_subset_ge_of_subset_image_lift {α : Type u} {β : Type v} (f : α → β) {s : Set α}
{t : Set β} (h : t ⊆ f '' s) : lift.{u} #t ≤ lift.{v} #({ x ∈ s | f x ∈ t } : Set α) := by
rw [image_eq_range] at h
convert mk_preimage_of_subset_range_lift _ _ h using 1
rw [mk_sep]
rfl
theorem mk_subset_ge_of_subset_image (f : α → β) {s : Set α} {t : Set β} (h : t ⊆ f '' s) :
#t ≤ #({ x ∈ s | f x ∈ t } : Set α) := by
rw [image_eq_range] at h
convert mk_preimage_of_subset_range _ _ h using 1
rw [mk_sep]
rfl
theorem le_mk_iff_exists_subset {c : Cardinal} {α : Type u} {s : Set α} :
c ≤ #s ↔ ∃ p : Set α, p ⊆ s ∧ #p = c := by
rw [le_mk_iff_exists_set, ← Subtype.exists_set_subtype]
apply exists_congr; intro t; rw [mk_image_eq]; apply Subtype.val_injective
@[simp]
theorem mk_range_inl {α : Type u} {β : Type v} : #(range (@Sum.inl α β)) = lift.{v} #α := by
rw [← lift_id'.{u, v} #_, (Equiv.Set.rangeInl α β).lift_cardinal_eq, lift_umax.{u, v}]
@[simp]
theorem mk_range_inr {α : Type u} {β : Type v} : #(range (@Sum.inr α β)) = lift.{u} #β := by
rw [← lift_id'.{v, u} #_, (Equiv.Set.rangeInr α β).lift_cardinal_eq, lift_umax.{v, u}]
theorem two_le_iff : (2 : Cardinal) ≤ #α ↔ ∃ x y : α, x ≠ y := by
rw [← Nat.cast_two, nat_succ, succ_le_iff, Nat.cast_one, one_lt_iff_nontrivial, nontrivial_iff]
theorem two_le_iff' (x : α) : (2 : Cardinal) ≤ #α ↔ ∃ y : α, y ≠ x := by
rw [two_le_iff, ← nontrivial_iff, nontrivial_iff_exists_ne x]
theorem mk_eq_two_iff : #α = 2 ↔ ∃ x y : α, x ≠ y ∧ ({x, y} : Set α) = univ := by
classical
simp only [← @Nat.cast_two Cardinal, mk_eq_nat_iff_finset, Finset.card_eq_two]
constructor
· rintro ⟨t, ht, x, y, hne, rfl⟩
exact ⟨x, y, hne, by simpa using ht⟩
· rintro ⟨x, y, hne, h⟩
exact ⟨{x, y}, by simpa using h, x, y, hne, rfl⟩
theorem mk_eq_two_iff' (x : α) : #α = 2 ↔ ∃! y, y ≠ x := by
rw [mk_eq_two_iff]; constructor
· rintro ⟨a, b, hne, h⟩
simp only [eq_univ_iff_forall, mem_insert_iff, mem_singleton_iff] at h
rcases h x with (rfl | rfl)
exacts [⟨b, hne.symm, fun z => (h z).resolve_left⟩, ⟨a, hne, fun z => (h z).resolve_right⟩]
· rintro ⟨y, hne, hy⟩
exact ⟨x, y, hne.symm, eq_univ_of_forall fun z => or_iff_not_imp_left.2 (hy z)⟩
theorem exists_not_mem_of_length_lt {α : Type*} (l : List α) (h : ↑l.length < #α) :
∃ z : α, z ∉ l := by
classical
contrapose! h
calc
#α = #(Set.univ : Set α) := mk_univ.symm
_ ≤ #l.toFinset := mk_le_mk_of_subset fun x _ => List.mem_toFinset.mpr (h x)
_ = l.toFinset.card := Cardinal.mk_coe_finset
_ ≤ l.length := Nat.cast_le.mpr (List.toFinset_card_le l)
theorem three_le {α : Type*} (h : 3 ≤ #α) (x : α) (y : α) : ∃ z : α, z ≠ x ∧ z ≠ y := by
have : ↑(3 : ℕ) ≤ #α := by simpa using h
have : ↑(2 : ℕ) < #α := by rwa [← succ_le_iff, ← Cardinal.nat_succ]
have := exists_not_mem_of_length_lt [x, y] this
simpa [not_or] using this
/-! ### `powerlt` operation -/
/-- The function `a ^< b`, defined as the supremum of `a ^ c` for `c < b`. -/
def powerlt (a b : Cardinal.{u}) : Cardinal.{u} :=
⨆ c : Iio b, a ^ (c : Cardinal)
@[inherit_doc]
infixl:80 " ^< " => powerlt
theorem le_powerlt {b c : Cardinal.{u}} (a) (h : c < b) : (a^c) ≤ a ^< b := by
refine le_ciSup (f := fun y : Iio b => a ^ (y : Cardinal)) ?_ ⟨c, h⟩
rw [← image_eq_range]
exact bddAbove_image.{u, u} _ bddAbove_Iio
theorem powerlt_le {a b c : Cardinal.{u}} : a ^< b ≤ c ↔ ∀ x < b, a ^ x ≤ c := by
rw [powerlt, ciSup_le_iff']
· simp
· rw [← image_eq_range]
exact bddAbove_image.{u, u} _ bddAbove_Iio
theorem powerlt_le_powerlt_left {a b c : Cardinal} (h : b ≤ c) : a ^< b ≤ a ^< c :=
powerlt_le.2 fun _ hx => le_powerlt a <| hx.trans_le h
theorem powerlt_mono_left (a) : Monotone fun c => a ^< c := fun _ _ => powerlt_le_powerlt_left
theorem powerlt_succ {a b : Cardinal} (h : a ≠ 0) : a ^< succ b = a ^ b :=
(powerlt_le.2 fun _ h' => power_le_power_left h <| le_of_lt_succ h').antisymm <|
le_powerlt a (lt_succ b)
theorem powerlt_min {a b c : Cardinal} : a ^< min b c = min (a ^< b) (a ^< c) :=
(powerlt_mono_left a).map_min
theorem powerlt_max {a b c : Cardinal} : a ^< max b c = max (a ^< b) (a ^< c) :=
(powerlt_mono_left a).map_max
theorem zero_powerlt {a : Cardinal} (h : a ≠ 0) : 0 ^< a = 1 := by
apply (powerlt_le.2 fun c _ => zero_power_le _).antisymm
rw [← power_zero]
exact le_powerlt 0 (pos_iff_ne_zero.2 h)
@[simp]
theorem powerlt_zero {a : Cardinal} : a ^< 0 = 0 := by
convert Cardinal.iSup_of_empty _
exact Subtype.isEmpty_of_false fun x => mem_Iio.not.mpr (Cardinal.zero_le x).not_lt
end Cardinal
| Mathlib/SetTheory/Cardinal/Basic.lean | 1,509 | 1,511 | |
/-
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.Nat.ModEq
import Mathlib.Data.Nat.Prime.Basic
import Mathlib.NumberTheory.Zsqrtd.Basic
/-!
# Pell's equation and Matiyasevic's theorem
This file solves Pell's equation, i.e. integer solutions to `x ^ 2 - d * y ^ 2 = 1`
*in the special case that `d = a ^ 2 - 1`*.
This is then applied to prove Matiyasevic's theorem that the power
function is Diophantine, which is the last key ingredient in the solution to Hilbert's tenth
problem. For the definition of Diophantine function, see `NumberTheory.Dioph`.
For results on Pell's equation for arbitrary (positive, non-square) `d`, see
`NumberTheory.Pell`.
## Main definition
* `pell` is a function assigning to a natural number `n` the `n`-th solution to Pell's equation
constructed recursively from the initial solution `(0, 1)`.
## Main statements
* `eq_pell` shows that every solution to Pell's equation is recursively obtained using `pell`
* `matiyasevic` shows that a certain system of Diophantine equations has a solution if and only if
the first variable is the `x`-component in a solution to Pell's equation - the key step towards
Hilbert's tenth problem in Davis' version of Matiyasevic's theorem.
* `eq_pow_of_pell` shows that the power function is Diophantine.
## Implementation notes
The proof of Matiyasevic's theorem doesn't follow Matiyasevic's original account of using Fibonacci
numbers but instead Davis' variant of using solutions to Pell's equation.
## References
* [M. Carneiro, _A Lean formalization of Matiyasevič's theorem_][carneiro2018matiyasevic]
* [M. Davis, _Hilbert's tenth problem is unsolvable_][MR317916]
## Tags
Pell's equation, Matiyasevic's theorem, Hilbert's tenth problem
-/
namespace Pell
open Nat
section
variable {d : ℤ}
/-- The property of being a solution to the Pell equation, expressed
as a property of elements of `ℤ√d`. -/
def IsPell : ℤ√d → Prop
| ⟨x, y⟩ => x * x - d * y * y = 1
theorem isPell_norm : ∀ {b : ℤ√d}, IsPell b ↔ b * star b = 1
| ⟨x, y⟩ => by simp [Zsqrtd.ext_iff, IsPell, mul_comm]; ring_nf
theorem isPell_iff_mem_unitary : ∀ {b : ℤ√d}, IsPell b ↔ b ∈ unitary (ℤ√d)
| ⟨x, y⟩ => by rw [unitary.mem_iff, isPell_norm, mul_comm (star _), and_self_iff]
theorem isPell_mul {b c : ℤ√d} (hb : IsPell b) (hc : IsPell c) : IsPell (b * c) :=
isPell_norm.2 (by simp [mul_comm, mul_left_comm c, mul_assoc,
star_mul, isPell_norm.1 hb, isPell_norm.1 hc])
theorem isPell_star : ∀ {b : ℤ√d}, IsPell b ↔ IsPell (star b)
| ⟨x, y⟩ => by simp [IsPell, Zsqrtd.star_mk]
end
section
variable {a : ℕ} (a1 : 1 < a)
private def d (_a1 : 1 < a) :=
a * a - 1
@[simp]
theorem d_pos : 0 < d a1 :=
tsub_pos_of_lt (mul_lt_mul a1 (le_of_lt a1) (by decide) (Nat.zero_le _) : 1 * 1 < a * a)
-- TODO(lint): Fix double namespace issue
/-- The Pell sequences, i.e. the sequence of integer solutions to `x ^ 2 - d * y ^ 2 = 1`, where
`d = a ^ 2 - 1`, defined together in mutual recursion. -/
--@[nolint dup_namespace]
def pell : ℕ → ℕ × ℕ
| 0 => (1, 0)
| n+1 => ((pell n).1 * a + d a1 * (pell n).2, (pell n).1 + (pell n).2 * a)
/-- The Pell `x` sequence. -/
def xn (n : ℕ) : ℕ :=
(pell a1 n).1
/-- The Pell `y` sequence. -/
def yn (n : ℕ) : ℕ :=
(pell a1 n).2
@[simp]
theorem pell_val (n : ℕ) : pell a1 n = (xn a1 n, yn a1 n) :=
show pell a1 n = ((pell a1 n).1, (pell a1 n).2) from
match pell a1 n with
| (_, _) => rfl
@[simp]
theorem xn_zero : xn a1 0 = 1 :=
rfl
@[simp]
theorem yn_zero : yn a1 0 = 0 :=
rfl
@[simp]
theorem xn_succ (n : ℕ) : xn a1 (n + 1) = xn a1 n * a + d a1 * yn a1 n :=
rfl
@[simp]
theorem yn_succ (n : ℕ) : yn a1 (n + 1) = xn a1 n + yn a1 n * a :=
rfl
theorem xn_one : xn a1 1 = a := by simp
theorem yn_one : yn a1 1 = 1 := by simp
/-- The Pell `x` sequence, considered as an integer sequence. -/
def xz (n : ℕ) : ℤ :=
xn a1 n
/-- The Pell `y` sequence, considered as an integer sequence. -/
def yz (n : ℕ) : ℤ :=
yn a1 n
section
/-- The element `a` such that `d = a ^ 2 - 1`, considered as an integer. -/
def az (a : ℕ) : ℤ :=
a
end
include a1 in
theorem asq_pos : 0 < a * a :=
le_trans (le_of_lt a1)
(by have := @Nat.mul_le_mul_left 1 a a (le_of_lt a1); rwa [mul_one] at this)
| Mathlib/NumberTheory/PellMatiyasevic.lean | 153 | 153 | |
/-
Copyright (c) 2020 Kenny Lau. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kenny Lau
-/
import Mathlib.Algebra.CharP.Algebra
import Mathlib.Data.Multiset.Fintype
import Mathlib.FieldTheory.IsAlgClosed.Basic
import Mathlib.FieldTheory.SplittingField.Construction
/-!
# Algebraic Closure
In this file we construct the algebraic closure of a field
## Main Definitions
- `AlgebraicClosure k` is an algebraic closure of `k` (in the same universe).
It is constructed by taking the polynomial ring generated by indeterminates
$X_{f,1}, \dots, X_{f,\deg f}$ corresponding to roots of monic irreducible
polynomials `f` with coefficients in `k`, and quotienting out by a maximal
ideal containing every $f - \prod_i (X - X_{f,i})$. The proof follows
https://kconrad.math.uconn.edu/blurbs/galoistheory/algclosureshorter.pdf.
## Tags
algebraic closure, algebraically closed
-/
universe u v w
noncomputable section
open Polynomial
variable (k : Type u) [Field k]
namespace AlgebraicClosure
/-- The subtype of monic polynomials. -/
def Monics : Type u := {f : k[X] // f.Monic}
/-- `Vars k` provides `n` variables $X_{f,1}, \dots, X_{f,n}$ for each monic polynomial
`f : k[X]` of degree `n`. -/
def Vars : Type u := Σ f : Monics k, Fin f.1.natDegree
variable {k} in
/-- Given a monic polynomial `f : k[X]`,
`subProdXSubC f` is the polynomial $f - \prod_i (X - X_{f,i})$. -/
def subProdXSubC (f : Monics k) : (MvPolynomial (Vars k) k)[X] :=
f.1.map (algebraMap _ _) - ∏ i : Fin f.1.natDegree, (X - C (MvPolynomial.X ⟨f, i⟩))
/-- The span of all coefficients of `subProdXSubC f` as `f` ranges all polynomials in `k[X]`. -/
def spanCoeffs : Ideal (MvPolynomial (Vars k) k) :=
Ideal.span <| Set.range fun fn : Monics k × ℕ ↦ (subProdXSubC fn.1).coeff fn.2
variable {k}
/-- If a monic polynomial `f : k[X]` splits in `K`,
then it has as many roots (counting multiplicity) as its degree. -/
def finEquivRoots {K} [Field K] [DecidableEq K] {i : k →+* K} {f : Monics k} (hf : f.1.Splits i) :
Fin f.1.natDegree ≃ (f.1.map i).roots.toEnumFinset :=
.symm <| Finset.equivFinOfCardEq <| by
rwa [← splits_id_iff_splits, splits_iff_card_roots,
← Multiset.card_toEnumFinset, f.2.natDegree_map] at hf
lemma Monics.splits_finsetProd {s : Finset (Monics k)} {f : Monics k} (hf : f ∈ s) :
f.1.Splits (algebraMap k (SplittingField (∏ f ∈ s, f.1))) :=
(splits_prod_iff _ fun j _ ↦ j.2.ne_zero).1 (SplittingField.splits _) _ hf
open Classical in
/-- Given a finite set of monic polynomials, construct an algebra homomorphism
to the splitting field of the product of the polynomials
sending indeterminates $X_{f_i}$ to the distinct roots of `f`. -/
def toSplittingField (s : Finset (Monics k)) :
MvPolynomial (Vars k) k →ₐ[k] SplittingField (∏ f ∈ s, f.1) :=
MvPolynomial.aeval fun fi ↦
if hf : fi.1 ∈ s then (finEquivRoots (Monics.splits_finsetProd hf) fi.2).1.1 else 37
theorem toSplittingField_coeff {s : Finset (Monics k)} {f} (h : f ∈ s) (n) :
toSplittingField s ((subProdXSubC f).coeff n) = 0 := by
classical
simp_rw [← AlgHom.coe_toRingHom, ← coeff_map, subProdXSubC, Polynomial.map_sub,
Polynomial.map_prod, Polynomial.map_sub, map_X, map_C, toSplittingField,
AlgHom.coe_toRingHom, MvPolynomial.aeval_X, dif_pos h,
← (finEquivRoots (Monics.splits_finsetProd h)).symm.prod_comp, Equiv.apply_symm_apply]
rw [Finset.prod_coe_sort (f := fun x : _ × ℕ ↦ X - C x.1), (Multiset.toEnumFinset _)
|>.prod_eq_multiset_prod, ← Function.comp_def (X - C ·) Prod.fst, ← Multiset.map_map,
Multiset.map_toEnumFinset_fst, map_map, AlgHom.comp_algebraMap]
conv in map _ _ => rw [eq_prod_roots_of_splits (Monics.splits_finsetProd h)]
rw [f.2, map_one, C_1, one_mul, sub_self, coeff_zero]
variable (k)
theorem spanCoeffs_ne_top : spanCoeffs k ≠ ⊤ := by
rw [Ideal.ne_top_iff_one, spanCoeffs, Ideal.span, ← Set.image_univ,
Finsupp.mem_span_image_iff_linearCombination]
rintro ⟨v, _, hv⟩
classical
replace hv := congr_arg (toSplittingField <| v.support.image Prod.fst) hv
rw [map_one, Finsupp.linearCombination_apply, Finsupp.sum, map_sum, Finset.sum_eq_zero] at hv
· exact zero_ne_one hv
intro j hj
rw [smul_eq_mul, map_mul, toSplittingField_coeff (Finset.mem_image_of_mem _ hj), mul_zero]
/-- A random maximal ideal that contains `spanEval k` -/
def maxIdeal : Ideal (MvPolynomial (Vars k) k) :=
Classical.choose <| Ideal.exists_le_maximal _ <| spanCoeffs_ne_top k
instance maxIdeal.isMaximal : (maxIdeal k).IsMaximal :=
(Classical.choose_spec <| Ideal.exists_le_maximal _ <| spanCoeffs_ne_top k).1
theorem le_maxIdeal : spanCoeffs k ≤ maxIdeal k :=
(Classical.choose_spec <| Ideal.exists_le_maximal _ <| spanCoeffs_ne_top k).2
end AlgebraicClosure
open AlgebraicClosure in
/-- The canonical algebraic closure of a field, the direct limit of adding roots to the field for
each polynomial over the field. -/
@[stacks 09GT]
def AlgebraicClosure : Type u :=
MvPolynomial (Vars k) k ⧸ maxIdeal k
namespace AlgebraicClosure
instance instCommRing : CommRing (AlgebraicClosure k) := Ideal.Quotient.commRing _
instance instInhabited : Inhabited (AlgebraicClosure k) := ⟨37⟩
instance {S : Type*} [DistribSMul S k] [IsScalarTower S k k] : SMul S (AlgebraicClosure k) :=
Submodule.Quotient.instSMul' _
instance instAlgebra {R : Type*} [CommSemiring R] [Algebra R k] : Algebra R (AlgebraicClosure k) :=
Ideal.Quotient.algebra _
instance {R S : Type*} [CommSemiring R] [CommSemiring S] [Algebra R S] [Algebra S k] [Algebra R k]
[IsScalarTower R S k] : IsScalarTower R S (AlgebraicClosure k) :=
Ideal.Quotient.isScalarTower _ _ _
instance instGroupWithZero : GroupWithZero (AlgebraicClosure k) where
__ := Ideal.Quotient.field _
instance instField : Field (AlgebraicClosure k) where
__ := instCommRing _
__ := instGroupWithZero _
nnqsmul := (· • ·)
qsmul := (· • ·)
nnratCast q := algebraMap k _ q
ratCast q := algebraMap k _ q
nnratCast_def q := by change algebraMap k _ _ = _; simp_rw [NNRat.cast_def, map_div₀, map_natCast]
ratCast_def q := by
change algebraMap k _ _ = _; rw [Rat.cast_def, map_div₀, map_intCast, map_natCast]
nnqsmul_def q x := Quotient.inductionOn x fun p ↦ congr_arg Quotient.mk'' <| by
ext; simp [MvPolynomial.algebraMap_eq, NNRat.smul_def]
qsmul_def q x := Quotient.inductionOn x fun p ↦ congr_arg Quotient.mk'' <| by
ext; simp [MvPolynomial.algebraMap_eq, Rat.smul_def]
theorem Monics.map_eq_prod {f : Monics k} :
f.1.map (algebraMap k (AlgebraicClosure k)) =
∏ i, map (Ideal.Quotient.mk <| maxIdeal k) (X - C (MvPolynomial.X ⟨f, i⟩)) := by
ext
dsimp [AlgebraicClosure]
rw [← Ideal.Quotient.mk_comp_algebraMap, ← map_map, ← Polynomial.map_prod, ← sub_eq_zero,
← coeff_sub, ← Polynomial.map_sub, ← subProdXSubC, coeff_map, Ideal.Quotient.eq_zero_iff_mem]
refine le_maxIdeal _ (Ideal.subset_span ⟨⟨f, _⟩, rfl⟩)
instance isAlgebraic : Algebra.IsAlgebraic k (AlgebraicClosure k) :=
⟨fun z =>
IsIntegral.isAlgebraic <| by
let ⟨p, hp⟩ := Ideal.Quotient.mk_surjective z
rw [← hp]
induction p using MvPolynomial.induction_on generalizing z with
| C => exact isIntegral_algebraMap
| add _ _ ha hb => exact (ha _ rfl).add (hb _ rfl)
| mul_X p fi ih =>
rw [map_mul]
refine (ih _ rfl).mul ⟨_, fi.1.2, ?_⟩
simp_rw [← eval_map, Monics.map_eq_prod, eval_prod, Polynomial.map_sub, eval_sub]
apply Finset.prod_eq_zero (Finset.mem_univ fi.2)
rw [map_C]
-- The `erw` is needed here because the `R` in `eval` is `AlgebraicClosure k`,
-- but this has been unfolded in the arguments of `eval`.
erw [eval_C]
simp⟩
instance : IsAlgClosure k (AlgebraicClosure k) := .of_splits fun f hf _ ↦ by
rw [show f = (⟨f, hf⟩ : Monics k) from rfl, ← splits_id_iff_splits, Monics.map_eq_prod]
exact splits_prod _ fun _ _ ↦ (splits_id_iff_splits _).mpr (splits_X_sub_C _)
instance isAlgClosed : IsAlgClosed (AlgebraicClosure k) := IsAlgClosure.isAlgClosed k
instance [CharZero k] : CharZero (AlgebraicClosure k) :=
charZero_of_injective_algebraMap (RingHom.injective (algebraMap k (AlgebraicClosure k)))
instance {p : ℕ} [CharP k p] : CharP (AlgebraicClosure k) p :=
charP_of_injective_algebraMap (RingHom.injective (algebraMap k (AlgebraicClosure k))) p
instance {L : Type*} [Field k] [Field L] [Algebra k L] [Algebra.IsAlgebraic k L] :
IsAlgClosure k (AlgebraicClosure L) where
isAlgebraic := .trans k L _
isAlgClosed := inferInstance
end AlgebraicClosure
| Mathlib/FieldTheory/IsAlgClosed/AlgebraicClosure.lean | 271 | 291 | |
/-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.Topology.MetricSpace.HausdorffDistance
/-!
# Thickenings in pseudo-metric spaces
## Main definitions
* `Metric.thickening δ s`, the open thickening by radius `δ` of a set `s` in a pseudo emetric space.
* `Metric.cthickening δ s`, the closed thickening by radius `δ` of a set `s` in a pseudo emetric
space.
## Main results
* `Disjoint.exists_thickenings`: two disjoint sets admit disjoint thickenings
* `Disjoint.exists_cthickenings`: two disjoint sets admit disjoint closed thickenings
* `IsCompact.exists_cthickening_subset_open`: if `s` is compact, `t` is open and `s ⊆ t`,
some `cthickening` of `s` is contained in `t`.
* `Metric.hasBasis_nhdsSet_cthickening`: the `cthickening`s of a compact set `K` form a basis
of the neighbourhoods of `K`
* `Metric.closure_eq_iInter_cthickening'`: the closure of a set equals the intersection
of its closed thickenings of positive radii accumulating at zero.
The same holds for open thickenings.
* `IsCompact.cthickening_eq_biUnion_closedBall`: if `s` is compact, `cthickening δ s` is the union
of `closedBall`s of radius `δ` around `x : E`.
-/
noncomputable section
open NNReal ENNReal Topology Set Filter Bornology
universe u v w
variable {ι : Sort*} {α : Type u}
namespace Metric
section Thickening
variable [PseudoEMetricSpace α] {δ : ℝ} {s : Set α} {x : α}
open EMetric
/-- The (open) `δ`-thickening `Metric.thickening δ E` of a subset `E` in a pseudo emetric space
consists of those points that are at distance less than `δ` from some point of `E`. -/
def thickening (δ : ℝ) (E : Set α) : Set α :=
{ x : α | infEdist x E < ENNReal.ofReal δ }
theorem mem_thickening_iff_infEdist_lt : x ∈ thickening δ s ↔ infEdist x s < ENNReal.ofReal δ :=
Iff.rfl
/-- An exterior point of a subset `E` (i.e., a point outside the closure of `E`) is not in the
(open) `δ`-thickening of `E` for small enough positive `δ`. -/
lemma eventually_not_mem_thickening_of_infEdist_pos {E : Set α} {x : α} (h : x ∉ closure E) :
∀ᶠ δ in 𝓝 (0 : ℝ), x ∉ Metric.thickening δ E := by
obtain ⟨ε, ⟨ε_pos, ε_lt⟩⟩ := exists_real_pos_lt_infEdist_of_not_mem_closure h
filter_upwards [eventually_lt_nhds ε_pos] with δ hδ
simp only [thickening, mem_setOf_eq, not_lt]
exact (ENNReal.ofReal_le_ofReal hδ.le).trans ε_lt.le
/-- The (open) thickening equals the preimage of an open interval under `EMetric.infEdist`. -/
theorem thickening_eq_preimage_infEdist (δ : ℝ) (E : Set α) :
thickening δ E = (infEdist · E) ⁻¹' Iio (ENNReal.ofReal δ) :=
rfl
/-- The (open) thickening is an open set. -/
theorem isOpen_thickening {δ : ℝ} {E : Set α} : IsOpen (thickening δ E) :=
Continuous.isOpen_preimage continuous_infEdist _ isOpen_Iio
/-- The (open) thickening of the empty set is empty. -/
@[simp]
theorem thickening_empty (δ : ℝ) : thickening δ (∅ : Set α) = ∅ := by
simp only [thickening, setOf_false, infEdist_empty, not_top_lt]
theorem thickening_of_nonpos (hδ : δ ≤ 0) (s : Set α) : thickening δ s = ∅ :=
eq_empty_of_forall_not_mem fun _ => ((ENNReal.ofReal_of_nonpos hδ).trans_le bot_le).not_lt
/-- The (open) thickening `Metric.thickening δ E` of a fixed subset `E` is an increasing function of
the thickening radius `δ`. -/
@[gcongr]
theorem thickening_mono {δ₁ δ₂ : ℝ} (hle : δ₁ ≤ δ₂) (E : Set α) :
thickening δ₁ E ⊆ thickening δ₂ E :=
preimage_mono (Iio_subset_Iio (ENNReal.ofReal_le_ofReal hle))
/-- The (open) thickening `Metric.thickening δ E` with a fixed thickening radius `δ` is
an increasing function of the subset `E`. -/
theorem thickening_subset_of_subset (δ : ℝ) {E₁ E₂ : Set α} (h : E₁ ⊆ E₂) :
thickening δ E₁ ⊆ thickening δ E₂ := fun _ hx => lt_of_le_of_lt (infEdist_anti h) hx
theorem mem_thickening_iff_exists_edist_lt {δ : ℝ} (E : Set α) (x : α) :
x ∈ thickening δ E ↔ ∃ z ∈ E, edist x z < ENNReal.ofReal δ :=
infEdist_lt_iff
/-- The frontier of the (open) thickening of a set is contained in an `EMetric.infEdist` level
set. -/
theorem frontier_thickening_subset (E : Set α) {δ : ℝ} :
frontier (thickening δ E) ⊆ { x : α | infEdist x E = ENNReal.ofReal δ } :=
frontier_lt_subset_eq continuous_infEdist continuous_const
open scoped Function in -- required for scoped `on` notation
theorem frontier_thickening_disjoint (A : Set α) :
Pairwise (Disjoint on fun r : ℝ => frontier (thickening r A)) := by
refine (pairwise_disjoint_on _).2 fun r₁ r₂ hr => ?_
rcases le_total r₁ 0 with h₁ | h₁
· simp [thickening_of_nonpos h₁]
refine ((disjoint_singleton.2 fun h => hr.ne ?_).preimage _).mono (frontier_thickening_subset _)
(frontier_thickening_subset _)
apply_fun ENNReal.toReal at h
rwa [ENNReal.toReal_ofReal h₁, ENNReal.toReal_ofReal (h₁.trans hr.le)] at h
/-- Any set is contained in the complement of the δ-thickening of the complement of its
δ-thickening. -/
lemma subset_compl_thickening_compl_thickening_self (δ : ℝ) (E : Set α) :
E ⊆ (thickening δ (thickening δ E)ᶜ)ᶜ := by
intro x x_in_E
simp only [thickening, mem_compl_iff, mem_setOf_eq, not_lt]
apply EMetric.le_infEdist.mpr fun y hy ↦ ?_
simp only [mem_compl_iff, mem_setOf_eq, not_lt] at hy
simpa only [edist_comm] using le_trans hy <| EMetric.infEdist_le_edist_of_mem x_in_E
/-- The δ-thickening of the complement of the δ-thickening of a set is contained in the complement
of the set. -/
lemma thickening_compl_thickening_self_subset_compl (δ : ℝ) (E : Set α) :
thickening δ (thickening δ E)ᶜ ⊆ Eᶜ := by
apply compl_subset_compl.mp
simpa only [compl_compl] using subset_compl_thickening_compl_thickening_self δ E
variable {X : Type u} [PseudoMetricSpace X]
theorem mem_thickening_iff_infDist_lt {E : Set X} {x : X} (h : E.Nonempty) :
x ∈ thickening δ E ↔ infDist x E < δ :=
lt_ofReal_iff_toReal_lt (infEdist_ne_top h)
/-- A point in a metric space belongs to the (open) `δ`-thickening of a subset `E` if and only if
it is at distance less than `δ` from some point of `E`. -/
theorem mem_thickening_iff {E : Set X} {x : X} : x ∈ thickening δ E ↔ ∃ z ∈ E, dist x z < δ := by
have key_iff : ∀ z : X, edist x z < ENNReal.ofReal δ ↔ dist x z < δ := fun z ↦ by
rw [dist_edist, lt_ofReal_iff_toReal_lt (edist_ne_top _ _)]
simp_rw [mem_thickening_iff_exists_edist_lt, key_iff]
@[simp]
theorem thickening_singleton (δ : ℝ) (x : X) : thickening δ ({x} : Set X) = ball x δ := by
ext
simp [mem_thickening_iff]
theorem ball_subset_thickening {x : X} {E : Set X} (hx : x ∈ E) (δ : ℝ) :
ball x δ ⊆ thickening δ E :=
Subset.trans (by simp [Subset.rfl]) (thickening_subset_of_subset δ <| singleton_subset_iff.mpr hx)
/-- The (open) `δ`-thickening `Metric.thickening δ E` of a subset `E` in a metric space equals the
union of balls of radius `δ` centered at points of `E`. -/
theorem thickening_eq_biUnion_ball {δ : ℝ} {E : Set X} : thickening δ E = ⋃ x ∈ E, ball x δ := by
ext x
| simp only [mem_iUnion₂, exists_prop]
exact mem_thickening_iff
| Mathlib/Topology/MetricSpace/Thickening.lean | 157 | 159 |
/-
Copyright (c) 2022 Adam Topaz. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Adam Topaz, Junyan Xu, Jack McKoen
-/
import Mathlib.RingTheory.Valuation.ValuationRing
import Mathlib.RingTheory.Localization.AsSubring
import Mathlib.Algebra.Ring.Subring.Pointwise
import Mathlib.Algebra.Ring.Action.Field
import Mathlib.RingTheory.Spectrum.Prime.Basic
import Mathlib.RingTheory.LocalRing.ResidueField.Basic
/-!
# Valuation subrings of a field
## Projects
The order structure on `ValuationSubring K`.
-/
universe u
noncomputable section
variable (K : Type u) [Field K]
/-- A valuation subring of a field `K` is a subring `A` such that for every `x : K`,
either `x ∈ A` or `x⁻¹ ∈ A`.
This is equivalent to being maximal in the domination order
of local subrings (the stacks project definition). See `LocalSubring.isMax_iff`.
-/
structure ValuationSubring extends Subring K where
mem_or_inv_mem' : ∀ x : K, x ∈ carrier ∨ x⁻¹ ∈ carrier
namespace ValuationSubring
variable {K}
variable (A : ValuationSubring K)
instance : SetLike (ValuationSubring K) K where
coe A := A.toSubring
coe_injective' := by
intro ⟨_, _⟩ ⟨_, _⟩ h
replace h := SetLike.coe_injective' h
congr
theorem mem_carrier (x : K) : x ∈ A.carrier ↔ x ∈ A := Iff.refl _
@[simp]
theorem mem_toSubring (x : K) : x ∈ A.toSubring ↔ x ∈ A := Iff.refl _
@[ext]
theorem ext (A B : ValuationSubring K) (h : ∀ x, x ∈ A ↔ x ∈ B) : A = B := SetLike.ext h
theorem zero_mem : (0 : K) ∈ A := A.toSubring.zero_mem
theorem one_mem : (1 : K) ∈ A := A.toSubring.one_mem
theorem add_mem (x y : K) : x ∈ A → y ∈ A → x + y ∈ A := A.toSubring.add_mem
theorem mul_mem (x y : K) : x ∈ A → y ∈ A → x * y ∈ A := A.toSubring.mul_mem
theorem neg_mem (x : K) : x ∈ A → -x ∈ A := A.toSubring.neg_mem
theorem mem_or_inv_mem (x : K) : x ∈ A ∨ x⁻¹ ∈ A := A.mem_or_inv_mem' _
instance : SubringClass (ValuationSubring K) K where
zero_mem := zero_mem
add_mem {_} a b := add_mem _ a b
one_mem := one_mem
mul_mem {_} a b := mul_mem _ a b
neg_mem {_} x := neg_mem _ x
theorem toSubring_injective : Function.Injective (toSubring : ValuationSubring K → Subring K) :=
fun x y h => by cases x; cases y; congr
instance : CommRing A :=
show CommRing A.toSubring by infer_instance
instance : IsDomain A :=
show IsDomain A.toSubring by infer_instance
instance : Top (ValuationSubring K) :=
Top.mk <| { (⊤ : Subring K) with mem_or_inv_mem' := fun _ => Or.inl trivial }
theorem mem_top (x : K) : x ∈ (⊤ : ValuationSubring K) :=
trivial
theorem le_top : A ≤ ⊤ := fun _a _ha => mem_top _
instance : OrderTop (ValuationSubring K) where
top := ⊤
le_top := le_top
instance : Inhabited (ValuationSubring K) :=
⟨⊤⟩
instance : ValuationRing A where
cond' a b := by
by_cases h : (b : K) = 0
· use 0
left
ext
simp [h]
by_cases h : (a : K) = 0
· use 0; right
ext
simp [h]
rcases A.mem_or_inv_mem (a / b) with hh | hh
· use ⟨a / b, hh⟩
right
ext
field_simp
· rw [show (a / b : K)⁻¹ = b / a by field_simp] at hh
use ⟨b / a, hh⟩
left
ext
field_simp
instance : Algebra A K :=
show Algebra A.toSubring K by infer_instance
-- Porting note: Somehow it cannot find this instance and I'm too lazy to debug. wrong prio?
instance isLocalRing : IsLocalRing A := ValuationRing.isLocalRing A
@[simp]
theorem algebraMap_apply (a : A) : algebraMap A K a = a := rfl
instance : IsFractionRing A K where
map_units' := fun ⟨y, hy⟩ =>
(Units.mk0 (y : K) fun c => nonZeroDivisors.ne_zero hy <| Subtype.ext c).isUnit
surj' z := by
by_cases h : z = 0; · use (0, 1); simp [h]
rcases A.mem_or_inv_mem z with hh | hh
· use (⟨z, hh⟩, 1); simp
· refine ⟨⟨1, ⟨⟨_, hh⟩, ?_⟩⟩, mul_inv_cancel₀ h⟩
exact mem_nonZeroDivisors_iff_ne_zero.2 fun c => h (inv_eq_zero.mp (congr_arg Subtype.val c))
exists_of_eq {a b} h := ⟨1, by ext; simpa using h⟩
/-- The value group of the valuation associated to `A`. Note: it is actually a group with zero. -/
def ValueGroup :=
ValuationRing.ValueGroup A K
-- The `LinearOrderedCommGroupWithZero` instance should be constructed by a deriving handler.
-- https://github.com/leanprover-community/mathlib4/issues/380
instance : LinearOrderedCommGroupWithZero (ValueGroup A) := by
unfold ValueGroup
infer_instance
/-- Any valuation subring of `K` induces a natural valuation on `K`. -/
def valuation : Valuation K A.ValueGroup :=
ValuationRing.valuation A K
instance inhabitedValueGroup : Inhabited A.ValueGroup := ⟨A.valuation 0⟩
theorem valuation_le_one (a : A) : A.valuation a ≤ 1 :=
(ValuationRing.mem_integer_iff A K _).2 ⟨a, rfl⟩
theorem mem_of_valuation_le_one (x : K) (h : A.valuation x ≤ 1) : x ∈ A :=
let ⟨a, ha⟩ := (ValuationRing.mem_integer_iff A K x).1 h
ha ▸ a.2
theorem valuation_le_one_iff (x : K) : A.valuation x ≤ 1 ↔ x ∈ A :=
⟨mem_of_valuation_le_one _ _, fun ha => A.valuation_le_one ⟨x, ha⟩⟩
theorem valuation_eq_iff (x y : K) : A.valuation x = A.valuation y ↔ ∃ a : Aˣ, (a : K) * y = x :=
Quotient.eq''
theorem valuation_le_iff (x y : K) : A.valuation x ≤ A.valuation y ↔ ∃ a : A, (a : K) * y = x :=
Iff.rfl
theorem valuation_surjective : Function.Surjective A.valuation := Quot.mk_surjective
theorem valuation_unit (a : Aˣ) : A.valuation a = 1 := by
rw [← A.valuation.map_one, valuation_eq_iff]; use a; simp
theorem valuation_eq_one_iff (a : A) : IsUnit a ↔ A.valuation a = 1 :=
⟨fun h => A.valuation_unit h.unit, fun h => by
have ha : (a : K) ≠ 0 := by
intro c
rw [c, A.valuation.map_zero] at h
exact zero_ne_one h
have ha' : (a : K)⁻¹ ∈ A := by rw [← valuation_le_one_iff, map_inv₀, h, inv_one]
apply isUnit_of_mul_eq_one a ⟨a⁻¹, ha'⟩; ext; field_simp⟩
theorem valuation_lt_one_or_eq_one (a : A) : A.valuation a < 1 ∨ A.valuation a = 1 :=
lt_or_eq_of_le (A.valuation_le_one a)
theorem valuation_lt_one_iff (a : A) : a ∈ IsLocalRing.maximalIdeal A ↔ A.valuation a < 1 := by
rw [IsLocalRing.mem_maximalIdeal]
dsimp [nonunits]; rw [valuation_eq_one_iff]
exact (A.valuation_le_one a).lt_iff_ne.symm
/-- A subring `R` of `K` such that for all `x : K` either `x ∈ R` or `x⁻¹ ∈ R` is
a valuation subring of `K`. -/
def ofSubring (R : Subring K) (hR : ∀ x : K, x ∈ R ∨ x⁻¹ ∈ R) : ValuationSubring K :=
{ R with mem_or_inv_mem' := hR }
@[simp]
theorem mem_ofSubring (R : Subring K) (hR : ∀ x : K, x ∈ R ∨ x⁻¹ ∈ R) (x : K) :
x ∈ ofSubring R hR ↔ x ∈ R :=
Iff.refl _
/-- An overring of a valuation ring is a valuation ring. -/
def ofLE (R : ValuationSubring K) (S : Subring K) (h : R.toSubring ≤ S) : ValuationSubring K :=
{ S with mem_or_inv_mem' := fun x => (R.mem_or_inv_mem x).imp (@h x) (@h _) }
section Order
instance : SemilatticeSup (ValuationSubring K) :=
{ (inferInstance : PartialOrder (ValuationSubring K)) with
sup := fun R S => ofLE R (R.toSubring ⊔ S.toSubring) <| le_sup_left
le_sup_left := fun R S _ hx => (le_sup_left : R.toSubring ≤ R.toSubring ⊔ S.toSubring) hx
le_sup_right := fun R S _ hx => (le_sup_right : S.toSubring ≤ R.toSubring ⊔ S.toSubring) hx
sup_le := fun R S T hR hT _ hx => (sup_le hR hT : R.toSubring ⊔ S.toSubring ≤ T.toSubring) hx }
/-- The ring homomorphism induced by the partial order. -/
def inclusion (R S : ValuationSubring K) (h : R ≤ S) : R →+* S :=
Subring.inclusion h
/-- The canonical ring homomorphism from a valuation ring to its field of fractions. -/
def subtype (R : ValuationSubring K) : R →+* K :=
Subring.subtype R.toSubring
@[simp]
lemma subtype_apply {R : ValuationSubring K} (x : R) :
R.subtype x = x := rfl
lemma subtype_injective (R : ValuationSubring K) :
Function.Injective R.subtype :=
R.toSubring.subtype_injective
@[simp]
theorem coe_subtype (R : ValuationSubring K) : ⇑(subtype R) = Subtype.val :=
rfl
/-- The canonical map on value groups induced by a coarsening of valuation rings. -/
def mapOfLE (R S : ValuationSubring K) (h : R ≤ S) : R.ValueGroup →*₀ S.ValueGroup where
toFun := Quotient.map' id fun _ _ ⟨u, hu⟩ => ⟨Units.map (R.inclusion S h).toMonoidHom u, hu⟩
map_zero' := rfl
map_one' := rfl
map_mul' := by rintro ⟨⟩ ⟨⟩; rfl
@[mono]
theorem monotone_mapOfLE (R S : ValuationSubring K) (h : R ≤ S) : Monotone (R.mapOfLE S h) := by
rintro ⟨⟩ ⟨⟩ ⟨a, ha⟩; exact ⟨R.inclusion S h a, ha⟩
@[simp]
theorem mapOfLE_comp_valuation (R S : ValuationSubring K) (h : R ≤ S) :
R.mapOfLE S h ∘ R.valuation = S.valuation := by ext; rfl
@[simp]
theorem mapOfLE_valuation_apply (R S : ValuationSubring K) (h : R ≤ S) (x : K) :
R.mapOfLE S h (R.valuation x) = S.valuation x := rfl
/-- The ideal corresponding to a coarsening of a valuation ring. -/
def idealOfLE (R S : ValuationSubring K) (h : R ≤ S) : Ideal R :=
(IsLocalRing.maximalIdeal S).comap (R.inclusion S h)
instance prime_idealOfLE (R S : ValuationSubring K) (h : R ≤ S) : (idealOfLE R S h).IsPrime :=
(IsLocalRing.maximalIdeal S).comap_isPrime _
/-- The coarsening of a valuation ring associated to a prime ideal. -/
def ofPrime (A : ValuationSubring K) (P : Ideal A) [P.IsPrime] : ValuationSubring K :=
ofLE A (Localization.subalgebra.ofField K _ P.primeCompl_le_nonZeroDivisors).toSubring
fun a ha => Subalgebra.mem_toSubring.mpr <|
Subalgebra.algebraMap_mem
(Localization.subalgebra.ofField K _ P.primeCompl_le_nonZeroDivisors) (⟨a, ha⟩ : A)
instance ofPrimeAlgebra (A : ValuationSubring K) (P : Ideal A) [P.IsPrime] :
Algebra A (A.ofPrime P) :=
Subalgebra.algebra (Localization.subalgebra.ofField K _ P.primeCompl_le_nonZeroDivisors)
instance ofPrime_scalar_tower (A : ValuationSubring K) (P : Ideal A) [P.IsPrime] :
letI : SMul A (A.ofPrime P) := SMulZeroClass.toSMul
IsScalarTower A (A.ofPrime P) K :=
IsScalarTower.subalgebra' A K K
(Localization.subalgebra.ofField K _ P.primeCompl_le_nonZeroDivisors)
instance ofPrime_localization (A : ValuationSubring K) (P : Ideal A) [P.IsPrime] :
IsLocalization.AtPrime (A.ofPrime P) P := by
apply
Localization.subalgebra.isLocalization_ofField K P.primeCompl
P.primeCompl_le_nonZeroDivisors
theorem le_ofPrime (A : ValuationSubring K) (P : Ideal A) [P.IsPrime] : A ≤ ofPrime A P :=
fun a ha => Subalgebra.mem_toSubring.mpr <| Subalgebra.algebraMap_mem _ (⟨a, ha⟩ : A)
theorem ofPrime_valuation_eq_one_iff_mem_primeCompl (A : ValuationSubring K) (P : Ideal A)
[P.IsPrime] (x : A) : (ofPrime A P).valuation x = 1 ↔ x ∈ P.primeCompl := by
rw [← IsLocalization.AtPrime.isUnit_to_map_iff (A.ofPrime P) P x, valuation_eq_one_iff]; rfl
@[simp]
theorem idealOfLE_ofPrime (A : ValuationSubring K) (P : Ideal A) [P.IsPrime] :
idealOfLE A (ofPrime A P) (le_ofPrime A P) = P := by
refine Ideal.ext (fun x => ?_)
apply IsLocalization.AtPrime.to_map_mem_maximal_iff
exact isLocalRing (ofPrime A P)
@[simp]
theorem ofPrime_idealOfLE (R S : ValuationSubring K) (h : R ≤ S) :
ofPrime R (idealOfLE R S h) = S := by
ext x; constructor
· rintro ⟨a, r, hr, rfl⟩; apply mul_mem; · exact h a.2
· rw [← valuation_le_one_iff, map_inv₀, ← inv_one, inv_le_inv₀]
· exact not_lt.1 ((not_iff_not.2 <| valuation_lt_one_iff S _).1 hr)
· simpa [Valuation.pos_iff] using fun hr₀ ↦ hr₀ ▸ hr <| Ideal.zero_mem (R.idealOfLE S h)
· exact zero_lt_one
· intro hx; by_cases hr : x ∈ R; · exact R.le_ofPrime _ hr
have : x ≠ 0 := fun h => hr (by rw [h]; exact R.zero_mem)
replace hr := (R.mem_or_inv_mem x).resolve_left hr
refine ⟨1, ⟨x⁻¹, hr⟩, ?_, ?_⟩
· simp only [Ideal.primeCompl, Submonoid.mem_mk, Subsemigroup.mem_mk, Set.mem_compl_iff,
SetLike.mem_coe, idealOfLE, Ideal.mem_comap, IsLocalRing.mem_maximalIdeal, mem_nonunits_iff,
not_not]
change IsUnit (⟨x⁻¹, h hr⟩ : S)
apply isUnit_of_mul_eq_one _ (⟨x, hx⟩ : S)
ext; field_simp
· field_simp
theorem ofPrime_le_of_le (P Q : Ideal A) [P.IsPrime] [Q.IsPrime] (h : P ≤ Q) :
ofPrime A Q ≤ ofPrime A P := fun _x ⟨a, s, hs, he⟩ => ⟨a, s, fun c => hs (h c), he⟩
theorem idealOfLE_le_of_le (R S : ValuationSubring K) (hR : A ≤ R) (hS : A ≤ S) (h : R ≤ S) :
idealOfLE A S hS ≤ idealOfLE A R hR := fun x hx =>
(valuation_lt_one_iff R _).2
(by
by_contra c; push_neg at c; replace c := monotone_mapOfLE R S h c
rw [(mapOfLE _ _ _).map_one, mapOfLE_valuation_apply] at c
apply not_le_of_lt ((valuation_lt_one_iff S _).1 hx) c)
/-- The equivalence between coarsenings of a valuation ring and its prime ideals. -/
@[simps apply]
def primeSpectrumEquiv : PrimeSpectrum A ≃ {S // A ≤ S} where
toFun P := ⟨ofPrime A P.asIdeal, le_ofPrime _ _⟩
invFun S := ⟨idealOfLE _ S S.2, inferInstance⟩
left_inv P := by ext1; simp
right_inv S := by ext1; simp
/-- An ordered variant of `primeSpectrumEquiv`. -/
@[simps!]
def primeSpectrumOrderEquiv : (PrimeSpectrum A)ᵒᵈ ≃o {S // A ≤ S} :=
{ OrderDual.ofDual.trans (primeSpectrumEquiv A) with
map_rel_iff' {a b} :=
⟨a.rec <| fun a => b.rec <| fun b => fun h => by
simp only [OrderDual.toDual_le_toDual]
dsimp at h
have := idealOfLE_le_of_le A _ _ ?_ ?_ h
· rwa [idealOfLE_ofPrime, idealOfLE_ofPrime] at this
all_goals exact le_ofPrime A (PrimeSpectrum.asIdeal _),
fun h => by apply ofPrime_le_of_le; exact h⟩ }
instance le_total_ideal : IsTotal {S // A ≤ S} LE.le := by
classical
let _ : IsTotal (PrimeSpectrum A) (· ≤ ·) := ⟨fun ⟨x, _⟩ ⟨y, _⟩ => LE.isTotal.total x y⟩
exact ⟨(primeSpectrumOrderEquiv A).symm.toRelEmbedding.isTotal.total⟩
open scoped Classical in
instance linearOrderOverring : LinearOrder {S // A ≤ S} where
le_total := (le_total_ideal A).1
max_def a b := congr_fun₂ sup_eq_maxDefault a b
toDecidableLE := _
end Order
end ValuationSubring
namespace Valuation
variable {K}
variable {Γ Γ₁ Γ₂ : Type*} [LinearOrderedCommGroupWithZero Γ]
[LinearOrderedCommGroupWithZero Γ₁] [LinearOrderedCommGroupWithZero Γ₂] (v : Valuation K Γ)
(v₁ : Valuation K Γ₁) (v₂ : Valuation K Γ₂)
/-- The valuation subring associated to a valuation. -/
def valuationSubring : ValuationSubring K :=
{ v.integer with
mem_or_inv_mem' := by
intro x
rcases val_le_one_or_val_inv_le_one v x with h | h
exacts [Or.inl h, Or.inr h] }
@[simp]
theorem mem_valuationSubring_iff (x : K) : x ∈ v.valuationSubring ↔ v x ≤ 1 := Iff.refl _
theorem isEquiv_iff_valuationSubring :
v₁.IsEquiv v₂ ↔ v₁.valuationSubring = v₂.valuationSubring := by
constructor
· intro h; ext x; specialize h x 1; simpa using h
· intro h; apply isEquiv_of_val_le_one
intro x
have : x ∈ v₁.valuationSubring ↔ x ∈ v₂.valuationSubring := by rw [h]
simpa using this
theorem isEquiv_valuation_valuationSubring : v.IsEquiv v.valuationSubring.valuation := by
rw [isEquiv_iff_val_le_one]
intro x
rw [ValuationSubring.valuation_le_one_iff]
rfl
end Valuation
namespace ValuationSubring
variable {K}
variable (A : ValuationSubring K)
@[simp]
theorem valuationSubring_valuation : A.valuation.valuationSubring = A := by
ext; rw [← A.valuation_le_one_iff]; rfl
section UnitGroup
/-- The unit group of a valuation subring, as a subgroup of `Kˣ`. -/
def unitGroup : Subgroup Kˣ :=
(A.valuation.toMonoidWithZeroHom.toMonoidHom.comp (Units.coeHom K)).ker
@[simp]
theorem mem_unitGroup_iff (x : Kˣ) : x ∈ A.unitGroup ↔ A.valuation x = 1 := Iff.rfl
/-- For a valuation subring `A`, `A.unitGroup` agrees with the units of `A`. -/
def unitGroupMulEquiv : A.unitGroup ≃* Aˣ where
toFun x :=
{ val := ⟨(x : Kˣ), mem_of_valuation_le_one A _ x.prop.le⟩
inv := ⟨((x⁻¹ : A.unitGroup) : Kˣ), mem_of_valuation_le_one _ _ x⁻¹.prop.le⟩
-- Porting note: was `Units.mul_inv x`
val_inv := Subtype.ext (by simp)
-- Porting note: was `Units.inv_mul x`
inv_val := Subtype.ext (by simp) }
invFun x := ⟨Units.map A.subtype.toMonoidHom x, A.valuation_unit x⟩
left_inv a := by ext; rfl
right_inv a := by ext; rfl
map_mul' a b := by ext; rfl
@[simp]
theorem coe_unitGroupMulEquiv_apply (a : A.unitGroup) :
((A.unitGroupMulEquiv a : A) : K) = ((a : Kˣ) : K) := rfl
@[simp]
theorem coe_unitGroupMulEquiv_symm_apply (a : Aˣ) : ((A.unitGroupMulEquiv.symm a : Kˣ) : K) = a :=
rfl
theorem unitGroup_le_unitGroup {A B : ValuationSubring K} : A.unitGroup ≤ B.unitGroup ↔ A ≤ B := by
constructor
· intro h x hx
rw [← A.valuation_le_one_iff x, le_iff_lt_or_eq] at hx
by_cases h_1 : x = 0; · simp only [h_1, zero_mem]
by_cases h_2 : 1 + x = 0
· simp only [← add_eq_zero_iff_neg_eq.1 h_2, neg_mem _ _ (one_mem _)]
rcases hx with hx | hx
· have := h (show Units.mk0 _ h_2 ∈ A.unitGroup from A.valuation.map_one_add_of_lt hx)
simpa using
B.add_mem _ _ (show 1 + x ∈ B from SetLike.coe_mem (B.unitGroupMulEquiv ⟨_, this⟩ : B))
(B.neg_mem _ B.one_mem)
· have := h (show Units.mk0 x h_1 ∈ A.unitGroup from hx)
exact SetLike.coe_mem (B.unitGroupMulEquiv ⟨_, this⟩ : B)
· rintro h x (hx : A.valuation x = 1)
apply_fun A.mapOfLE B h at hx
simpa using hx
theorem unitGroup_injective : Function.Injective (unitGroup : ValuationSubring K → Subgroup _) :=
fun A B h => by simpa only [le_antisymm_iff, unitGroup_le_unitGroup] using h
theorem eq_iff_unitGroup {A B : ValuationSubring K} : A = B ↔ A.unitGroup = B.unitGroup :=
unitGroup_injective.eq_iff.symm
/-- The map on valuation subrings to their unit groups is an order embedding. -/
def unitGroupOrderEmbedding : ValuationSubring K ↪o Subgroup Kˣ where
toFun A := A.unitGroup
inj' := unitGroup_injective
map_rel_iff' {_A _B} := unitGroup_le_unitGroup
theorem unitGroup_strictMono : StrictMono (unitGroup : ValuationSubring K → Subgroup _) :=
unitGroupOrderEmbedding.strictMono
end UnitGroup
section nonunits
/-- The nonunits of a valuation subring of `K`, as a subsemigroup of `K` -/
def nonunits : Subsemigroup K where
carrier := {x | A.valuation x < 1}
-- Porting note: added `Set.mem_setOf.mp`
mul_mem' ha hb := (mul_lt_mul'' (Set.mem_setOf.mp ha) (Set.mem_setOf.mp hb)
zero_le' zero_le').trans_eq <| mul_one _
theorem mem_nonunits_iff {x : K} : x ∈ A.nonunits ↔ A.valuation x < 1 :=
Iff.rfl
theorem nonunits_le_nonunits {A B : ValuationSubring K} : B.nonunits ≤ A.nonunits ↔ A ≤ B := by
constructor
· intro h x hx
by_cases h_1 : x = 0; · simp only [h_1, zero_mem]
rw [← valuation_le_one_iff, ← not_lt, Valuation.one_lt_val_iff _ h_1] at hx ⊢
by_contra h_2; exact hx (h h_2)
· intro h x hx
| by_contra h_1; exact not_lt.2 (monotone_mapOfLE _ _ h (not_lt.1 h_1)) hx
theorem nonunits_injective : Function.Injective (nonunits : ValuationSubring K → Subsemigroup _) :=
fun A B h => by simpa only [le_antisymm_iff, nonunits_le_nonunits] using h.symm
theorem nonunits_inj {A B : ValuationSubring K} : A.nonunits = B.nonunits ↔ A = B :=
nonunits_injective.eq_iff
/-- The map on valuation subrings to their nonunits is a dual order embedding. -/
def nonunitsOrderEmbedding : ValuationSubring K ↪o (Subsemigroup K)ᵒᵈ where
toFun A := A.nonunits
inj' := nonunits_injective
map_rel_iff' {_A _B} := nonunits_le_nonunits
variable {A}
/-- The elements of `A.nonunits` are those of the maximal ideal of `A` after coercion to `K`.
| Mathlib/RingTheory/Valuation/ValuationSubring.lean | 501 | 517 |
/-
Copyright (c) 2020 Aaron Anderson. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Aaron Anderson
-/
import Mathlib.Algebra.BigOperators.Ring.Finset
import Mathlib.Algebra.Module.BigOperators
import Mathlib.NumberTheory.Divisors
import Mathlib.Data.Nat.Squarefree
import Mathlib.Data.Nat.GCD.BigOperators
import Mathlib.Data.Nat.Factorization.Induction
import Mathlib.Tactic.ArithMult
/-!
# Arithmetic Functions and Dirichlet Convolution
This file defines arithmetic functions, which are functions from `ℕ` to a specified type that map 0
to 0. In the literature, they are often instead defined as functions from `ℕ+`. These arithmetic
functions are endowed with a multiplication, given by Dirichlet convolution, and pointwise addition,
to form the Dirichlet ring.
## Main Definitions
* `ArithmeticFunction R` consists of functions `f : ℕ → R` such that `f 0 = 0`.
* An arithmetic function `f` `IsMultiplicative` when `x.Coprime y → f (x * y) = f x * f y`.
* The pointwise operations `pmul` and `ppow` differ from the multiplication
and power instances on `ArithmeticFunction R`, which use Dirichlet multiplication.
* `ζ` is the arithmetic function such that `ζ x = 1` for `0 < x`.
* `σ k` is the arithmetic function such that `σ k x = ∑ y ∈ divisors x, y ^ k` for `0 < x`.
* `pow k` is the arithmetic function such that `pow k x = x ^ k` for `0 < x`.
* `id` is the identity arithmetic function on `ℕ`.
* `ω n` is the number of distinct prime factors of `n`.
* `Ω n` is the number of prime factors of `n` counted with multiplicity.
* `μ` is the Möbius function (spelled `moebius` in code).
## Main Results
* Several forms of Möbius inversion:
* `sum_eq_iff_sum_mul_moebius_eq` for functions to a `CommRing`
* `sum_eq_iff_sum_smul_moebius_eq` for functions to an `AddCommGroup`
* `prod_eq_iff_prod_pow_moebius_eq` for functions to a `CommGroup`
* `prod_eq_iff_prod_pow_moebius_eq_of_nonzero` for functions to a `CommGroupWithZero`
* And variants that apply when the equalities only hold on a set `S : Set ℕ` such that
`m ∣ n → n ∈ S → m ∈ S`:
* `sum_eq_iff_sum_mul_moebius_eq_on` for functions to a `CommRing`
* `sum_eq_iff_sum_smul_moebius_eq_on` for functions to an `AddCommGroup`
* `prod_eq_iff_prod_pow_moebius_eq_on` for functions to a `CommGroup`
* `prod_eq_iff_prod_pow_moebius_eq_on_of_nonzero` for functions to a `CommGroupWithZero`
## Notation
All notation is localized in the namespace `ArithmeticFunction`.
The arithmetic functions `ζ`, `σ`, `ω`, `Ω` and `μ` have Greek letter names.
In addition, there are separate locales `ArithmeticFunction.zeta` for `ζ`,
`ArithmeticFunction.sigma` for `σ`, `ArithmeticFunction.omega` for `ω`,
`ArithmeticFunction.Omega` for `Ω`, and `ArithmeticFunction.Moebius` for `μ`,
to allow for selective access to these notations.
The arithmetic function $$n \mapsto \prod_{p \mid n} f(p)$$ is given custom notation
`∏ᵖ p ∣ n, f p` when applied to `n`.
## Tags
arithmetic functions, dirichlet convolution, divisors
-/
open Finset
open Nat
variable (R : Type*)
/-- An arithmetic function is a function from `ℕ` that maps 0 to 0. In the literature, they are
often instead defined as functions from `ℕ+`. Multiplication on `ArithmeticFunctions` is by
Dirichlet convolution. -/
def ArithmeticFunction [Zero R] :=
ZeroHom ℕ R
instance ArithmeticFunction.zero [Zero R] : Zero (ArithmeticFunction R) :=
inferInstanceAs (Zero (ZeroHom ℕ R))
instance [Zero R] : Inhabited (ArithmeticFunction R) := inferInstanceAs (Inhabited (ZeroHom ℕ R))
variable {R}
namespace ArithmeticFunction
section Zero
variable [Zero R]
instance : FunLike (ArithmeticFunction R) ℕ R :=
inferInstanceAs (FunLike (ZeroHom ℕ R) ℕ R)
@[simp]
theorem toFun_eq (f : ArithmeticFunction R) : f.toFun = f := rfl
@[simp]
theorem coe_mk (f : ℕ → R) (hf) : @DFunLike.coe (ArithmeticFunction R) _ _ _
(ZeroHom.mk f hf) = f := rfl
@[simp]
theorem map_zero {f : ArithmeticFunction R} : f 0 = 0 :=
ZeroHom.map_zero' f
theorem coe_inj {f g : ArithmeticFunction R} : (f : ℕ → R) = g ↔ f = g :=
DFunLike.coe_fn_eq
@[simp]
theorem zero_apply {x : ℕ} : (0 : ArithmeticFunction R) x = 0 :=
ZeroHom.zero_apply x
@[ext]
theorem ext ⦃f g : ArithmeticFunction R⦄ (h : ∀ x, f x = g x) : f = g :=
ZeroHom.ext h
section One
variable [One R]
instance one : One (ArithmeticFunction R) :=
⟨⟨fun x => ite (x = 1) 1 0, rfl⟩⟩
theorem one_apply {x : ℕ} : (1 : ArithmeticFunction R) x = ite (x = 1) 1 0 :=
rfl
@[simp]
theorem one_one : (1 : ArithmeticFunction R) 1 = 1 :=
rfl
@[simp]
theorem one_apply_ne {x : ℕ} (h : x ≠ 1) : (1 : ArithmeticFunction R) x = 0 :=
if_neg h
end One
end Zero
/-- Coerce an arithmetic function with values in `ℕ` to one with values in `R`. We cannot inline
this in `natCoe` because it gets unfolded too much. -/
@[coe]
def natToArithmeticFunction [AddMonoidWithOne R] :
(ArithmeticFunction ℕ) → (ArithmeticFunction R) :=
fun f => ⟨fun n => ↑(f n), by simp⟩
instance natCoe [AddMonoidWithOne R] : Coe (ArithmeticFunction ℕ) (ArithmeticFunction R) :=
⟨natToArithmeticFunction⟩
@[simp]
theorem natCoe_nat (f : ArithmeticFunction ℕ) : natToArithmeticFunction f = f :=
ext fun _ => cast_id _
@[simp]
theorem natCoe_apply [AddMonoidWithOne R] {f : ArithmeticFunction ℕ} {x : ℕ} :
(f : ArithmeticFunction R) x = f x :=
rfl
/-- Coerce an arithmetic function with values in `ℤ` to one with values in `R`. We cannot inline
this in `intCoe` because it gets unfolded too much. -/
@[coe]
def ofInt [AddGroupWithOne R] :
(ArithmeticFunction ℤ) → (ArithmeticFunction R) :=
fun f => ⟨fun n => ↑(f n), by simp⟩
instance intCoe [AddGroupWithOne R] : Coe (ArithmeticFunction ℤ) (ArithmeticFunction R) :=
⟨ofInt⟩
@[simp]
theorem intCoe_int (f : ArithmeticFunction ℤ) : ofInt f = f :=
ext fun _ => Int.cast_id
@[simp]
theorem intCoe_apply [AddGroupWithOne R] {f : ArithmeticFunction ℤ} {x : ℕ} :
(f : ArithmeticFunction R) x = f x := rfl
@[simp]
theorem coe_coe [AddGroupWithOne R] {f : ArithmeticFunction ℕ} :
((f : ArithmeticFunction ℤ) : ArithmeticFunction R) = (f : ArithmeticFunction R) := by
ext
simp
@[simp]
theorem natCoe_one [AddMonoidWithOne R] :
((1 : ArithmeticFunction ℕ) : ArithmeticFunction R) = 1 := by
ext n
simp [one_apply]
@[simp]
theorem intCoe_one [AddGroupWithOne R] : ((1 : ArithmeticFunction ℤ) :
ArithmeticFunction R) = 1 := by
ext n
simp [one_apply]
section AddMonoid
variable [AddMonoid R]
instance add : Add (ArithmeticFunction R) :=
⟨fun f g => ⟨fun n => f n + g n, by simp⟩⟩
@[simp]
theorem add_apply {f g : ArithmeticFunction R} {n : ℕ} : (f + g) n = f n + g n :=
rfl
instance instAddMonoid : AddMonoid (ArithmeticFunction R) :=
{ ArithmeticFunction.zero R,
ArithmeticFunction.add with
add_assoc := fun _ _ _ => ext fun _ => add_assoc _ _ _
zero_add := fun _ => ext fun _ => zero_add _
add_zero := fun _ => ext fun _ => add_zero _
nsmul := nsmulRec }
end AddMonoid
instance instAddMonoidWithOne [AddMonoidWithOne R] : AddMonoidWithOne (ArithmeticFunction R) :=
{ ArithmeticFunction.instAddMonoid,
ArithmeticFunction.one with
natCast := fun n => ⟨fun x => if x = 1 then (n : R) else 0, by simp⟩
natCast_zero := by ext; simp
natCast_succ := fun n => by ext x; by_cases h : x = 1 <;> simp [h] }
instance instAddCommMonoid [AddCommMonoid R] : AddCommMonoid (ArithmeticFunction R) :=
{ ArithmeticFunction.instAddMonoid with add_comm := fun _ _ => ext fun _ => add_comm _ _ }
instance [NegZeroClass R] : Neg (ArithmeticFunction R) where
neg f := ⟨fun n => -f n, by simp⟩
instance [AddGroup R] : AddGroup (ArithmeticFunction R) :=
{ ArithmeticFunction.instAddMonoid with
neg_add_cancel := fun _ => ext fun _ => neg_add_cancel _
zsmul := zsmulRec }
instance [AddCommGroup R] : AddCommGroup (ArithmeticFunction R) :=
{ show AddGroup (ArithmeticFunction R) by infer_instance with
add_comm := fun _ _ ↦ add_comm _ _ }
section SMul
variable {M : Type*} [Zero R] [AddCommMonoid M] [SMul R M]
/-- The Dirichlet convolution of two arithmetic functions `f` and `g` is another arithmetic function
such that `(f * g) n` is the sum of `f x * g y` over all `(x,y)` such that `x * y = n`. -/
instance : SMul (ArithmeticFunction R) (ArithmeticFunction M) :=
⟨fun f g => ⟨fun n => ∑ x ∈ divisorsAntidiagonal n, f x.fst • g x.snd, by simp⟩⟩
@[simp]
theorem smul_apply {f : ArithmeticFunction R} {g : ArithmeticFunction M} {n : ℕ} :
(f • g) n = ∑ x ∈ divisorsAntidiagonal n, f x.fst • g x.snd :=
rfl
end SMul
/-- The Dirichlet convolution of two arithmetic functions `f` and `g` is another arithmetic function
such that `(f * g) n` is the sum of `f x * g y` over all `(x,y)` such that `x * y = n`. -/
instance [Semiring R] : Mul (ArithmeticFunction R) :=
⟨(· • ·)⟩
@[simp]
theorem mul_apply [Semiring R] {f g : ArithmeticFunction R} {n : ℕ} :
(f * g) n = ∑ x ∈ divisorsAntidiagonal n, f x.fst * g x.snd :=
rfl
theorem mul_apply_one [Semiring R] {f g : ArithmeticFunction R} : (f * g) 1 = f 1 * g 1 := by simp
@[simp, norm_cast]
theorem natCoe_mul [Semiring R] {f g : ArithmeticFunction ℕ} :
(↑(f * g) : ArithmeticFunction R) = f * g := by
ext n
simp
@[simp, norm_cast]
theorem intCoe_mul [Ring R] {f g : ArithmeticFunction ℤ} :
(↑(f * g) : ArithmeticFunction R) = ↑f * g := by
ext n
simp
section Module
variable {M : Type*} [Semiring R] [AddCommMonoid M] [Module R M]
theorem mul_smul' (f g : ArithmeticFunction R) (h : ArithmeticFunction M) :
(f * g) • h = f • g • h := by
ext n
simp only [mul_apply, smul_apply, sum_smul, mul_smul, smul_sum, Finset.sum_sigma']
apply Finset.sum_nbij' (fun ⟨⟨_i, j⟩, ⟨k, l⟩⟩ ↦ ⟨(k, l * j), (l, j)⟩)
(fun ⟨⟨i, _j⟩, ⟨k, l⟩⟩ ↦ ⟨(i * k, l), (i, k)⟩) <;> aesop (add simp mul_assoc)
theorem one_smul' (b : ArithmeticFunction M) : (1 : ArithmeticFunction R) • b = b := by
ext x
rw [smul_apply]
by_cases x0 : x = 0
· simp [x0]
have h : {(1, x)} ⊆ divisorsAntidiagonal x := by simp [x0]
rw [← sum_subset h]
· simp
intro y ymem ynmem
have y1ne : y.fst ≠ 1 := fun con => by simp_all [Prod.ext_iff]
simp [y1ne]
end Module
section Semiring
variable [Semiring R]
instance instMonoid : Monoid (ArithmeticFunction R) :=
{ one := One.one
mul := Mul.mul
one_mul := one_smul'
mul_one := fun f => by
ext x
rw [mul_apply]
by_cases x0 : x = 0
· simp [x0]
have h : {(x, 1)} ⊆ divisorsAntidiagonal x := by simp [x0]
rw [← sum_subset h]
· simp
intro ⟨y₁, y₂⟩ ymem ynmem
have y2ne : y₂ ≠ 1 := by
intro con
simp_all
simp [y2ne]
mul_assoc := mul_smul' }
instance instSemiring : Semiring (ArithmeticFunction R) :=
{ ArithmeticFunction.instAddMonoidWithOne,
ArithmeticFunction.instMonoid,
ArithmeticFunction.instAddCommMonoid with
zero_mul := fun f => by
ext
simp
mul_zero := fun f => by
ext
simp
left_distrib := fun a b c => by
ext
simp [← sum_add_distrib, mul_add]
right_distrib := fun a b c => by
ext
simp [← sum_add_distrib, add_mul] }
end Semiring
instance [CommSemiring R] : CommSemiring (ArithmeticFunction R) :=
{ ArithmeticFunction.instSemiring with
mul_comm := fun f g => by
ext
rw [mul_apply, ← map_swap_divisorsAntidiagonal, sum_map]
simp [mul_comm] }
instance [CommRing R] : CommRing (ArithmeticFunction R) :=
{ ArithmeticFunction.instSemiring with
neg_add_cancel := neg_add_cancel
mul_comm := mul_comm
zsmul := (· • ·) }
instance {M : Type*} [Semiring R] [AddCommMonoid M] [Module R M] :
Module (ArithmeticFunction R) (ArithmeticFunction M) where
one_smul := one_smul'
mul_smul := mul_smul'
smul_add r x y := by
ext
simp only [sum_add_distrib, smul_add, smul_apply, add_apply]
smul_zero r := by
ext
simp only [smul_apply, sum_const_zero, smul_zero, zero_apply]
add_smul r s x := by
ext
simp only [add_smul, sum_add_distrib, smul_apply, add_apply]
zero_smul r := by
ext
simp only [smul_apply, sum_const_zero, zero_smul, zero_apply]
section Zeta
/-- `ζ 0 = 0`, otherwise `ζ x = 1`. The Dirichlet Series is the Riemann `ζ`. -/
def zeta : ArithmeticFunction ℕ :=
⟨fun x => ite (x = 0) 0 1, rfl⟩
@[inherit_doc]
scoped[ArithmeticFunction] notation "ζ" => ArithmeticFunction.zeta
@[inherit_doc]
scoped[ArithmeticFunction.zeta] notation "ζ" => ArithmeticFunction.zeta
@[simp]
theorem zeta_apply {x : ℕ} : ζ x = if x = 0 then 0 else 1 :=
rfl
theorem zeta_apply_ne {x : ℕ} (h : x ≠ 0) : ζ x = 1 :=
if_neg h
-- Porting note: removed `@[simp]`, LHS not in normal form
theorem coe_zeta_smul_apply {M} [Semiring R] [AddCommMonoid M] [MulAction R M]
{f : ArithmeticFunction M} {x : ℕ} :
((↑ζ : ArithmeticFunction R) • f) x = ∑ i ∈ divisors x, f i := by
rw [smul_apply]
trans ∑ i ∈ divisorsAntidiagonal x, f i.snd
· refine sum_congr rfl fun i hi => ?_
rcases mem_divisorsAntidiagonal.1 hi with ⟨rfl, h⟩
rw [natCoe_apply, zeta_apply_ne (left_ne_zero_of_mul h), cast_one, one_smul]
· rw [← map_div_left_divisors, sum_map, Function.Embedding.coeFn_mk]
theorem coe_zeta_mul_apply [Semiring R] {f : ArithmeticFunction R} {x : ℕ} :
(↑ζ * f) x = ∑ i ∈ divisors x, f i :=
coe_zeta_smul_apply
theorem coe_mul_zeta_apply [Semiring R] {f : ArithmeticFunction R} {x : ℕ} :
(f * ζ) x = ∑ i ∈ divisors x, f i := by
rw [mul_apply]
trans ∑ i ∈ divisorsAntidiagonal x, f i.1
· refine sum_congr rfl fun i hi => ?_
rcases mem_divisorsAntidiagonal.1 hi with ⟨rfl, h⟩
rw [natCoe_apply, zeta_apply_ne (right_ne_zero_of_mul h), cast_one, mul_one]
· rw [← map_div_right_divisors, sum_map, Function.Embedding.coeFn_mk]
theorem zeta_mul_apply {f : ArithmeticFunction ℕ} {x : ℕ} : (ζ * f) x = ∑ i ∈ divisors x, f i := by
rw [← natCoe_nat ζ, coe_zeta_mul_apply]
theorem mul_zeta_apply {f : ArithmeticFunction ℕ} {x : ℕ} : (f * ζ) x = ∑ i ∈ divisors x, f i := by
rw [← natCoe_nat ζ, coe_mul_zeta_apply]
end Zeta
open ArithmeticFunction
section Pmul
/-- This is the pointwise product of `ArithmeticFunction`s. -/
def pmul [MulZeroClass R] (f g : ArithmeticFunction R) : ArithmeticFunction R :=
⟨fun x => f x * g x, by simp⟩
@[simp]
theorem pmul_apply [MulZeroClass R] {f g : ArithmeticFunction R} {x : ℕ} : f.pmul g x = f x * g x :=
rfl
theorem pmul_comm [CommMonoidWithZero R] (f g : ArithmeticFunction R) : f.pmul g = g.pmul f := by
ext
simp [mul_comm]
lemma pmul_assoc [SemigroupWithZero R] (f₁ f₂ f₃ : ArithmeticFunction R) :
pmul (pmul f₁ f₂) f₃ = pmul f₁ (pmul f₂ f₃) := by
ext
simp only [pmul_apply, mul_assoc]
section NonAssocSemiring
variable [NonAssocSemiring R]
@[simp]
theorem pmul_zeta (f : ArithmeticFunction R) : f.pmul ↑ζ = f := by
ext x
cases x <;> simp [Nat.succ_ne_zero]
@[simp]
theorem zeta_pmul (f : ArithmeticFunction R) : (ζ : ArithmeticFunction R).pmul f = f := by
ext x
cases x <;> simp [Nat.succ_ne_zero]
end NonAssocSemiring
variable [Semiring R]
/-- This is the pointwise power of `ArithmeticFunction`s. -/
def ppow (f : ArithmeticFunction R) (k : ℕ) : ArithmeticFunction R :=
if h0 : k = 0 then ζ else ⟨fun x ↦ f x ^ k, by simp_rw [map_zero, zero_pow h0]⟩
@[simp]
theorem ppow_zero {f : ArithmeticFunction R} : f.ppow 0 = ζ := by rw [ppow, dif_pos rfl]
@[simp]
theorem ppow_apply {f : ArithmeticFunction R} {k x : ℕ} (kpos : 0 < k) : f.ppow k x = f x ^ k := by
rw [ppow, dif_neg (Nat.ne_of_gt kpos), coe_mk]
theorem ppow_succ' {f : ArithmeticFunction R} {k : ℕ} : f.ppow (k + 1) = f.pmul (f.ppow k) := by
ext x
rw [ppow_apply (Nat.succ_pos k), _root_.pow_succ']
induction k <;> simp
theorem ppow_succ {f : ArithmeticFunction R} {k : ℕ} {kpos : 0 < k} :
f.ppow (k + 1) = (f.ppow k).pmul f := by
ext x
rw [ppow_apply (Nat.succ_pos k), _root_.pow_succ]
induction k <;> simp
end Pmul
section Pdiv
/-- This is the pointwise division of `ArithmeticFunction`s. -/
def pdiv [GroupWithZero R] (f g : ArithmeticFunction R) : ArithmeticFunction R :=
⟨fun n => f n / g n, by simp only [map_zero, ne_eq, not_true, div_zero]⟩
@[simp]
theorem pdiv_apply [GroupWithZero R] (f g : ArithmeticFunction R) (n : ℕ) :
pdiv f g n = f n / g n := rfl
/-- This result only holds for `DivisionSemiring`s instead of `GroupWithZero`s because zeta takes
values in ℕ, and hence the coercion requires an `AddMonoidWithOne`. TODO: Generalise zeta -/
@[simp]
theorem pdiv_zeta [DivisionSemiring R] (f : ArithmeticFunction R) :
pdiv f zeta = f := by
ext n
cases n <;> simp [succ_ne_zero]
end Pdiv
section ProdPrimeFactors
/-- The map $n \mapsto \prod_{p \mid n} f(p)$ as an arithmetic function -/
def prodPrimeFactors [CommMonoidWithZero R] (f : ℕ → R) : ArithmeticFunction R where
toFun d := if d = 0 then 0 else ∏ p ∈ d.primeFactors, f p
map_zero' := if_pos rfl
open Batteries.ExtendedBinder
/-- `∏ᵖ p ∣ n, f p` is custom notation for `prodPrimeFactors f n` -/
scoped syntax (name := bigproddvd) "∏ᵖ " extBinder " ∣ " term ", " term:67 : term
scoped macro_rules (kind := bigproddvd)
| `(∏ᵖ $x:ident ∣ $n, $r) => `(prodPrimeFactors (fun $x ↦ $r) $n)
@[simp]
theorem prodPrimeFactors_apply [CommMonoidWithZero R] {f : ℕ → R} {n : ℕ} (hn : n ≠ 0) :
∏ᵖ p ∣ n, f p = ∏ p ∈ n.primeFactors, f p :=
if_neg hn
end ProdPrimeFactors
/-- Multiplicative functions -/
def IsMultiplicative [MonoidWithZero R] (f : ArithmeticFunction R) : Prop :=
f 1 = 1 ∧ ∀ {m n : ℕ}, m.Coprime n → f (m * n) = f m * f n
namespace IsMultiplicative
section MonoidWithZero
variable [MonoidWithZero R]
@[simp, arith_mult]
theorem map_one {f : ArithmeticFunction R} (h : f.IsMultiplicative) : f 1 = 1 :=
h.1
@[simp]
theorem map_mul_of_coprime {f : ArithmeticFunction R} (hf : f.IsMultiplicative) {m n : ℕ}
(h : m.Coprime n) : f (m * n) = f m * f n :=
hf.2 h
end MonoidWithZero
open scoped Function in -- required for scoped `on` notation
theorem map_prod {ι : Type*} [CommMonoidWithZero R] (g : ι → ℕ) {f : ArithmeticFunction R}
(hf : f.IsMultiplicative) (s : Finset ι) (hs : (s : Set ι).Pairwise (Coprime on g)) :
f (∏ i ∈ s, g i) = ∏ i ∈ s, f (g i) := by
classical
induction s using Finset.induction_on with
| empty => simp [hf]
| insert _ _ has ih =>
rw [coe_insert, Set.pairwise_insert_of_symmetric (Coprime.symmetric.comap g)] at hs
rw [prod_insert has, prod_insert has, hf.map_mul_of_coprime, ih hs.1]
exact .prod_right fun i hi => hs.2 _ hi (hi.ne_of_not_mem has).symm
theorem map_prod_of_prime [CommMonoidWithZero R] {f : ArithmeticFunction R}
(h_mult : ArithmeticFunction.IsMultiplicative f)
(t : Finset ℕ) (ht : ∀ p ∈ t, p.Prime) :
f (∏ a ∈ t, a) = ∏ a ∈ t, f a :=
map_prod _ h_mult t fun x hx y hy hxy => (coprime_primes (ht x hx) (ht y hy)).mpr hxy
theorem map_prod_of_subset_primeFactors [CommMonoidWithZero R] {f : ArithmeticFunction R}
(h_mult : ArithmeticFunction.IsMultiplicative f) (l : ℕ)
(t : Finset ℕ) (ht : t ⊆ l.primeFactors) :
f (∏ a ∈ t, a) = ∏ a ∈ t, f a :=
map_prod_of_prime h_mult t fun _ a => prime_of_mem_primeFactors (ht a)
theorem map_div_of_coprime [GroupWithZero R] {f : ArithmeticFunction R}
(hf : IsMultiplicative f) {l d : ℕ} (hdl : d ∣ l) (hl : (l / d).Coprime d) (hd : f d ≠ 0) :
f (l / d) = f l / f d := by
apply (div_eq_of_eq_mul hd ..).symm
rw [← hf.right hl, Nat.div_mul_cancel hdl]
@[arith_mult]
theorem natCast {f : ArithmeticFunction ℕ} [Semiring R] (h : f.IsMultiplicative) :
IsMultiplicative (f : ArithmeticFunction R) :=
⟨by simp [h], fun {m n} cop => by simp [h.2 cop]⟩
@[arith_mult]
theorem intCast {f : ArithmeticFunction ℤ} [Ring R] (h : f.IsMultiplicative) :
IsMultiplicative (f : ArithmeticFunction R) :=
⟨by simp [h], fun {m n} cop => by simp [h.2 cop]⟩
@[arith_mult]
theorem mul [CommSemiring R] {f g : ArithmeticFunction R} (hf : f.IsMultiplicative)
(hg : g.IsMultiplicative) : IsMultiplicative (f * g) := by
refine ⟨by simp [hf.1, hg.1], ?_⟩
simp only [mul_apply]
intro m n cop
rw [sum_mul_sum, ← sum_product']
symm
apply sum_nbij fun ((i, j), k, l) ↦ (i * k, j * l)
· rintro ⟨⟨a1, a2⟩, ⟨b1, b2⟩⟩ h
simp only [mem_divisorsAntidiagonal, Ne, mem_product] at h
rcases h with ⟨⟨rfl, ha⟩, ⟨rfl, hb⟩⟩
simp only [mem_divisorsAntidiagonal, Nat.mul_eq_zero, Ne]
constructor
· ring
rw [Nat.mul_eq_zero] at *
apply not_or_intro ha hb
· simp only [Set.InjOn, mem_coe, mem_divisorsAntidiagonal, Ne, mem_product, Prod.mk_inj]
rintro ⟨⟨a1, a2⟩, ⟨b1, b2⟩⟩ ⟨⟨rfl, ha⟩, ⟨rfl, hb⟩⟩ ⟨⟨c1, c2⟩, ⟨d1, d2⟩⟩ hcd h
simp only [Prod.mk_inj] at h
ext <;> dsimp only
· trans Nat.gcd (a1 * a2) (a1 * b1)
· rw [Nat.gcd_mul_left, cop.coprime_mul_left.coprime_mul_right_right.gcd_eq_one, mul_one]
· rw [← hcd.1.1, ← hcd.2.1] at cop
rw [← hcd.1.1, h.1, Nat.gcd_mul_left,
cop.coprime_mul_left.coprime_mul_right_right.gcd_eq_one, mul_one]
· trans Nat.gcd (a1 * a2) (a2 * b2)
· rw [mul_comm, Nat.gcd_mul_left, cop.coprime_mul_right.coprime_mul_left_right.gcd_eq_one,
mul_one]
· rw [← hcd.1.1, ← hcd.2.1] at cop
rw [← hcd.1.1, h.2, mul_comm, Nat.gcd_mul_left,
cop.coprime_mul_right.coprime_mul_left_right.gcd_eq_one, mul_one]
· trans Nat.gcd (b1 * b2) (a1 * b1)
· rw [mul_comm, Nat.gcd_mul_right,
cop.coprime_mul_right.coprime_mul_left_right.symm.gcd_eq_one, one_mul]
· rw [← hcd.1.1, ← hcd.2.1] at cop
rw [← hcd.2.1, h.1, mul_comm c1 d1, Nat.gcd_mul_left,
cop.coprime_mul_right.coprime_mul_left_right.symm.gcd_eq_one, mul_one]
· trans Nat.gcd (b1 * b2) (a2 * b2)
· rw [Nat.gcd_mul_right, cop.coprime_mul_left.coprime_mul_right_right.symm.gcd_eq_one,
one_mul]
· rw [← hcd.1.1, ← hcd.2.1] at cop
rw [← hcd.2.1, h.2, Nat.gcd_mul_right,
cop.coprime_mul_left.coprime_mul_right_right.symm.gcd_eq_one, one_mul]
· simp only [Set.SurjOn, Set.subset_def, mem_coe, mem_divisorsAntidiagonal, Ne, mem_product,
Set.mem_image, exists_prop, Prod.mk_inj]
rintro ⟨b1, b2⟩ h
dsimp at h
use ((b1.gcd m, b2.gcd m), (b1.gcd n, b2.gcd n))
rw [← cop.gcd_mul _, ← cop.gcd_mul _, ← h.1, Nat.gcd_mul_gcd_of_coprime_of_mul_eq_mul cop h.1,
Nat.gcd_mul_gcd_of_coprime_of_mul_eq_mul cop.symm _]
· rw [Nat.mul_eq_zero, not_or] at h
simp [h.2.1, h.2.2]
rw [mul_comm n m, h.1]
· simp only [mem_divisorsAntidiagonal, Ne, mem_product]
rintro ⟨⟨a1, a2⟩, ⟨b1, b2⟩⟩ ⟨⟨rfl, ha⟩, ⟨rfl, hb⟩⟩
dsimp only
rw [hf.map_mul_of_coprime cop.coprime_mul_right.coprime_mul_right_right,
hg.map_mul_of_coprime cop.coprime_mul_left.coprime_mul_left_right]
ring
@[arith_mult]
theorem pmul [CommSemiring R] {f g : ArithmeticFunction R} (hf : f.IsMultiplicative)
(hg : g.IsMultiplicative) : IsMultiplicative (f.pmul g) :=
⟨by simp [hf, hg], fun {m n} cop => by
simp only [pmul_apply, hf.map_mul_of_coprime cop, hg.map_mul_of_coprime cop]
ring⟩
@[arith_mult]
theorem pdiv [CommGroupWithZero R] {f g : ArithmeticFunction R} (hf : IsMultiplicative f)
(hg : IsMultiplicative g) : IsMultiplicative (pdiv f g) :=
⟨by simp [hf, hg], fun {m n} cop => by
simp only [pdiv_apply, map_mul_of_coprime hf cop, map_mul_of_coprime hg cop,
div_eq_mul_inv, mul_inv]
apply mul_mul_mul_comm ⟩
/-- For any multiplicative function `f` and any `n > 0`,
we can evaluate `f n` by evaluating `f` at `p ^ k` over the factorization of `n` -/
theorem multiplicative_factorization [CommMonoidWithZero R] (f : ArithmeticFunction R)
(hf : f.IsMultiplicative) {n : ℕ} (hn : n ≠ 0) :
f n = n.factorization.prod fun p k => f (p ^ k) :=
Nat.multiplicative_factorization f (fun _ _ => hf.2) hf.1 hn
/-- A recapitulation of the definition of multiplicative that is simpler for proofs -/
theorem iff_ne_zero [MonoidWithZero R] {f : ArithmeticFunction R} :
IsMultiplicative f ↔
f 1 = 1 ∧ ∀ {m n : ℕ}, m ≠ 0 → n ≠ 0 → m.Coprime n → f (m * n) = f m * f n := by
refine and_congr_right' (forall₂_congr fun m n => ⟨fun h _ _ => h, fun h hmn => ?_⟩)
rcases eq_or_ne m 0 with (rfl | hm)
· simp
rcases eq_or_ne n 0 with (rfl | hn)
· simp
exact h hm hn hmn
/-- Two multiplicative functions `f` and `g` are equal if and only if
they agree on prime powers -/
theorem eq_iff_eq_on_prime_powers [CommMonoidWithZero R] (f : ArithmeticFunction R)
(hf : f.IsMultiplicative) (g : ArithmeticFunction R) (hg : g.IsMultiplicative) :
f = g ↔ ∀ p i : ℕ, Nat.Prime p → f (p ^ i) = g (p ^ i) := by
constructor
· intro h p i _
rw [h]
intro h
ext n
by_cases hn : n = 0
· rw [hn, ArithmeticFunction.map_zero, ArithmeticFunction.map_zero]
rw [multiplicative_factorization f hf hn, multiplicative_factorization g hg hn]
exact Finset.prod_congr rfl fun p hp ↦ h p _ (Nat.prime_of_mem_primeFactors hp)
@[arith_mult]
theorem prodPrimeFactors [CommMonoidWithZero R] (f : ℕ → R) :
IsMultiplicative (prodPrimeFactors f) := by
rw [iff_ne_zero]
simp only [ne_eq, one_ne_zero, not_false_eq_true, prodPrimeFactors_apply, primeFactors_one,
prod_empty, true_and]
intro x y hx hy hxy
have hxy₀ : x * y ≠ 0 := mul_ne_zero hx hy
rw [prodPrimeFactors_apply hxy₀, prodPrimeFactors_apply hx, prodPrimeFactors_apply hy,
Nat.primeFactors_mul hx hy, ← Finset.prod_union hxy.disjoint_primeFactors]
theorem prodPrimeFactors_add_of_squarefree [CommSemiring R] {f g : ArithmeticFunction R}
(hf : IsMultiplicative f) (hg : IsMultiplicative g) {n : ℕ} (hn : Squarefree n) :
∏ᵖ p ∣ n, (f + g) p = (f * g) n := by
rw [prodPrimeFactors_apply hn.ne_zero]
simp_rw [add_apply (f := f) (g := g)]
rw [Finset.prod_add, mul_apply, sum_divisorsAntidiagonal (f · * g ·),
← divisors_filter_squarefree_of_squarefree hn, sum_divisors_filter_squarefree hn.ne_zero,
factors_eq]
apply Finset.sum_congr rfl
intro t ht
rw [t.prod_val, Function.id_def,
← prod_primeFactors_sdiff_of_squarefree hn (Finset.mem_powerset.mp ht),
hf.map_prod_of_subset_primeFactors n t (Finset.mem_powerset.mp ht),
← hg.map_prod_of_subset_primeFactors n (_ \ t) Finset.sdiff_subset]
theorem lcm_apply_mul_gcd_apply [CommMonoidWithZero R] {f : ArithmeticFunction R}
(hf : f.IsMultiplicative) {x y : ℕ} :
f (x.lcm y) * f (x.gcd y) = f x * f y := by
by_cases hx : x = 0
· simp only [hx, f.map_zero, zero_mul, Nat.lcm_zero_left, Nat.gcd_zero_left]
by_cases hy : y = 0
· simp only [hy, f.map_zero, mul_zero, Nat.lcm_zero_right, Nat.gcd_zero_right, zero_mul]
have hgcd_ne_zero : x.gcd y ≠ 0 := gcd_ne_zero_left hx
have hlcm_ne_zero : x.lcm y ≠ 0 := lcm_ne_zero hx hy
have hfi_zero : ∀ {i}, f (i ^ 0) = 1 := by
intro i; rw [Nat.pow_zero, hf.1]
iterate 4 rw [hf.multiplicative_factorization f (by assumption),
Finsupp.prod_of_support_subset _ _ _ (fun _ _ => hfi_zero)
(s := (x.primeFactors ∪ y.primeFactors))]
· rw [← Finset.prod_mul_distrib, ← Finset.prod_mul_distrib]
apply Finset.prod_congr rfl
intro p _
rcases Nat.le_or_le (x.factorization p) (y.factorization p) with h | h <;>
simp only [factorization_lcm hx hy, Finsupp.sup_apply, h, sup_of_le_right,
sup_of_le_left, inf_of_le_right, Nat.factorization_gcd hx hy, Finsupp.inf_apply,
inf_of_le_left, mul_comm]
· apply Finset.subset_union_right
· apply Finset.subset_union_left
· rw [factorization_gcd hx hy, Finsupp.support_inf]
apply Finset.inter_subset_union
· simp [factorization_lcm hx hy]
theorem map_gcd [CommGroupWithZero R] {f : ArithmeticFunction R}
(hf : f.IsMultiplicative) {x y : ℕ} (hf_lcm : f (x.lcm y) ≠ 0) :
f (x.gcd y) = f x * f y / f (x.lcm y) := by
rw [← hf.lcm_apply_mul_gcd_apply, mul_div_cancel_left₀ _ hf_lcm]
theorem map_lcm [CommGroupWithZero R] {f : ArithmeticFunction R}
(hf : f.IsMultiplicative) {x y : ℕ} (hf_gcd : f (x.gcd y) ≠ 0) :
f (x.lcm y) = f x * f y / f (x.gcd y) := by
rw [← hf.lcm_apply_mul_gcd_apply, mul_div_cancel_right₀ _ hf_gcd]
theorem eq_zero_of_squarefree_of_dvd_eq_zero [MonoidWithZero R] {f : ArithmeticFunction R}
(hf : IsMultiplicative f) {m n : ℕ} (hn : Squarefree n) (hmn : m ∣ n)
(h_zero : f m = 0) :
f n = 0 := by
rcases hmn with ⟨k, rfl⟩
simp only [MulZeroClass.zero_mul, eq_self_iff_true, hf.map_mul_of_coprime
(coprime_of_squarefree_mul hn), h_zero]
end IsMultiplicative
section SpecialFunctions
/-- The identity on `ℕ` as an `ArithmeticFunction`. -/
def id : ArithmeticFunction ℕ :=
⟨_root_.id, rfl⟩
@[simp]
theorem id_apply {x : ℕ} : id x = x :=
rfl
/-- `pow k n = n ^ k`, except `pow 0 0 = 0`. -/
def pow (k : ℕ) : ArithmeticFunction ℕ :=
id.ppow k
@[simp]
theorem pow_apply {k n : ℕ} : pow k n = if k = 0 ∧ n = 0 then 0 else n ^ k := by
cases k <;> simp [pow]
theorem pow_zero_eq_zeta : pow 0 = ζ := by
ext n
simp
/-- `σ k n` is the sum of the `k`th powers of the divisors of `n` -/
def sigma (k : ℕ) : ArithmeticFunction ℕ :=
⟨fun n => ∑ d ∈ divisors n, d ^ k, by simp⟩
@[inherit_doc]
scoped[ArithmeticFunction] notation "σ" => ArithmeticFunction.sigma
@[inherit_doc]
scoped[ArithmeticFunction.sigma] notation "σ" => ArithmeticFunction.sigma
theorem sigma_apply {k n : ℕ} : σ k n = ∑ d ∈ divisors n, d ^ k :=
rfl
theorem sigma_apply_prime_pow {k p i : ℕ} (hp : p.Prime) :
σ k (p ^ i) = ∑ j ∈ .range (i + 1), p ^ (j * k) := by
simp [sigma_apply, divisors_prime_pow hp, Nat.pow_mul]
theorem sigma_one_apply (n : ℕ) : σ 1 n = ∑ d ∈ divisors n, d := by simp [sigma_apply]
theorem sigma_one_apply_prime_pow {p i : ℕ} (hp : p.Prime) :
σ 1 (p ^ i) = ∑ k ∈ .range (i + 1), p ^ k := by
simp [sigma_apply_prime_pow hp]
theorem sigma_zero_apply (n : ℕ) : σ 0 n = #n.divisors := by simp [sigma_apply]
theorem sigma_zero_apply_prime_pow {p i : ℕ} (hp : p.Prime) : σ 0 (p ^ i) = i + 1 := by
simp [sigma_apply_prime_pow hp]
theorem zeta_mul_pow_eq_sigma {k : ℕ} : ζ * pow k = σ k := by
ext
rw [sigma, zeta_mul_apply]
apply sum_congr rfl
intro x hx
rw [pow_apply, if_neg (not_and_of_not_right _ _)]
contrapose! hx
simp [hx]
@[arith_mult]
theorem isMultiplicative_one [MonoidWithZero R] : IsMultiplicative (1 : ArithmeticFunction R) :=
IsMultiplicative.iff_ne_zero.2
⟨by simp, by
intro m n hm _hn hmn
rcases eq_or_ne m 1 with (rfl | hm')
· simp
rw [one_apply_ne, one_apply_ne hm', zero_mul]
rw [Ne, mul_eq_one, not_and_or]
exact Or.inl hm'⟩
@[arith_mult]
theorem isMultiplicative_zeta : IsMultiplicative ζ :=
IsMultiplicative.iff_ne_zero.2 ⟨by simp, by simp +contextual⟩
@[arith_mult]
theorem isMultiplicative_id : IsMultiplicative ArithmeticFunction.id :=
⟨rfl, fun {_ _} _ => rfl⟩
@[arith_mult]
theorem IsMultiplicative.ppow [CommSemiring R] {f : ArithmeticFunction R} (hf : f.IsMultiplicative)
{k : ℕ} : IsMultiplicative (f.ppow k) := by
induction k with
| zero => exact isMultiplicative_zeta.natCast
| succ k hi => rw [ppow_succ']; apply hf.pmul hi
@[arith_mult]
theorem isMultiplicative_pow {k : ℕ} : IsMultiplicative (pow k) :=
isMultiplicative_id.ppow
@[arith_mult]
theorem isMultiplicative_sigma {k : ℕ} : IsMultiplicative (σ k) := by
rw [← zeta_mul_pow_eq_sigma]
apply isMultiplicative_zeta.mul isMultiplicative_pow
/-- `Ω n` is the number of prime factors of `n`. -/
def cardFactors : ArithmeticFunction ℕ :=
⟨fun n => n.primeFactorsList.length, by simp⟩
@[inherit_doc]
scoped[ArithmeticFunction] notation "Ω" => ArithmeticFunction.cardFactors
@[inherit_doc]
scoped[ArithmeticFunction.Omega] notation "Ω" => ArithmeticFunction.cardFactors
theorem cardFactors_apply {n : ℕ} : Ω n = n.primeFactorsList.length :=
rfl
lemma cardFactors_zero : Ω 0 = 0 := by simp
@[simp] theorem cardFactors_one : Ω 1 = 0 := by simp [cardFactors_apply]
@[simp]
theorem cardFactors_eq_one_iff_prime {n : ℕ} : Ω n = 1 ↔ n.Prime := by
refine ⟨fun h => ?_, fun h => List.length_eq_one_iff.2 ⟨n, primeFactorsList_prime h⟩⟩
cases n with | zero => simp at h | succ n =>
rcases List.length_eq_one_iff.1 h with ⟨x, hx⟩
rw [← prod_primeFactorsList n.add_one_ne_zero, hx, List.prod_singleton]
apply prime_of_mem_primeFactorsList
rw [hx, List.mem_singleton]
theorem cardFactors_mul {m n : ℕ} (m0 : m ≠ 0) (n0 : n ≠ 0) : Ω (m * n) = Ω m + Ω n := by
rw [cardFactors_apply, cardFactors_apply, cardFactors_apply, ← Multiset.coe_card, ← factors_eq,
UniqueFactorizationMonoid.normalizedFactors_mul m0 n0, factors_eq, factors_eq,
Multiset.card_add, Multiset.coe_card, Multiset.coe_card]
theorem cardFactors_multiset_prod {s : Multiset ℕ} (h0 : s.prod ≠ 0) :
Ω s.prod = (Multiset.map Ω s).sum := by
induction s using Multiset.induction_on with
| empty => simp
| cons ih => simp_all [cardFactors_mul, not_or]
@[simp]
theorem cardFactors_apply_prime {p : ℕ} (hp : p.Prime) : Ω p = 1 :=
cardFactors_eq_one_iff_prime.2 hp
@[simp]
theorem cardFactors_apply_prime_pow {p k : ℕ} (hp : p.Prime) : Ω (p ^ k) = k := by
rw [cardFactors_apply, hp.primeFactorsList_pow, List.length_replicate]
/-- `ω n` is the number of distinct prime factors of `n`. -/
def cardDistinctFactors : ArithmeticFunction ℕ :=
⟨fun n => n.primeFactorsList.dedup.length, by simp⟩
@[inherit_doc]
scoped[ArithmeticFunction] notation "ω" => ArithmeticFunction.cardDistinctFactors
@[inherit_doc]
scoped[ArithmeticFunction.omega] notation "ω" => ArithmeticFunction.cardDistinctFactors
theorem cardDistinctFactors_zero : ω 0 = 0 := by simp
@[simp]
theorem cardDistinctFactors_one : ω 1 = 0 := by simp [cardDistinctFactors]
theorem cardDistinctFactors_apply {n : ℕ} : ω n = n.primeFactorsList.dedup.length :=
rfl
theorem cardDistinctFactors_eq_cardFactors_iff_squarefree {n : ℕ} (h0 : n ≠ 0) :
ω n = Ω n ↔ Squarefree n := by
rw [squarefree_iff_nodup_primeFactorsList h0, cardDistinctFactors_apply]
constructor <;> intro h
· rw [← n.primeFactorsList.dedup_sublist.eq_of_length h]
apply List.nodup_dedup
· simp [h.dedup, cardFactors]
@[simp]
theorem cardDistinctFactors_apply_prime_pow {p k : ℕ} (hp : p.Prime) (hk : k ≠ 0) :
ω (p ^ k) = 1 := by
rw [cardDistinctFactors_apply, hp.primeFactorsList_pow, List.replicate_dedup hk,
List.length_singleton]
@[simp]
theorem cardDistinctFactors_apply_prime {p : ℕ} (hp : p.Prime) : ω p = 1 := by
rw [← pow_one p, cardDistinctFactors_apply_prime_pow hp one_ne_zero]
/-- `μ` is the Möbius function. If `n` is squarefree with an even number of distinct prime factors,
`μ n = 1`. If `n` is squarefree with an odd number of distinct prime factors, `μ n = -1`.
If `n` is not squarefree, `μ n = 0`. -/
def moebius : ArithmeticFunction ℤ :=
⟨fun n => if Squarefree n then (-1) ^ cardFactors n else 0, by simp⟩
@[inherit_doc]
scoped[ArithmeticFunction] notation "μ" => ArithmeticFunction.moebius
@[inherit_doc]
scoped[ArithmeticFunction.Moebius] notation "μ" => ArithmeticFunction.moebius
@[simp]
theorem moebius_apply_of_squarefree {n : ℕ} (h : Squarefree n) : μ n = (-1) ^ cardFactors n :=
if_pos h
@[simp]
theorem moebius_eq_zero_of_not_squarefree {n : ℕ} (h : ¬Squarefree n) : μ n = 0 :=
if_neg h
theorem moebius_apply_one : μ 1 = 1 := by simp
theorem moebius_ne_zero_iff_squarefree {n : ℕ} : μ n ≠ 0 ↔ Squarefree n := by
constructor <;> intro h
· contrapose! h
simp [h]
· simp [h, pow_ne_zero]
theorem moebius_eq_or (n : ℕ) : μ n = 0 ∨ μ n = 1 ∨ μ n = -1 := by
simp only [moebius, coe_mk]
split_ifs
· right
exact neg_one_pow_eq_or ..
· left
rfl
theorem moebius_ne_zero_iff_eq_or {n : ℕ} : μ n ≠ 0 ↔ μ n = 1 ∨ μ n = -1 := by
have := moebius_eq_or n
aesop
theorem moebius_sq_eq_one_of_squarefree {l : ℕ} (hl : Squarefree l) : μ l ^ 2 = 1 := by
rw [moebius_apply_of_squarefree hl, ← pow_mul, mul_comm, pow_mul, neg_one_sq, one_pow]
theorem abs_moebius_eq_one_of_squarefree {l : ℕ} (hl : Squarefree l) : |μ l| = 1 := by
simp only [moebius_apply_of_squarefree hl, abs_pow, abs_neg, abs_one, one_pow]
theorem moebius_sq {n : ℕ} :
μ n ^ 2 = if Squarefree n then 1 else 0 := by
split_ifs with h
· exact moebius_sq_eq_one_of_squarefree h
· simp only [pow_eq_zero_iff, moebius_eq_zero_of_not_squarefree h,
zero_pow (show 2 ≠ 0 by norm_num)]
theorem abs_moebius {n : ℕ} :
|μ n| = if Squarefree n then 1 else 0 := by
split_ifs with h
· exact abs_moebius_eq_one_of_squarefree h
· simp only [moebius_eq_zero_of_not_squarefree h, abs_zero]
theorem abs_moebius_le_one {n : ℕ} : |μ n| ≤ 1 := by
rw [abs_moebius, apply_ite (· ≤ 1)]
simp
theorem moebius_apply_prime {p : ℕ} (hp : p.Prime) : μ p = -1 := by
rw [moebius_apply_of_squarefree hp.squarefree, cardFactors_apply_prime hp, pow_one]
theorem moebius_apply_prime_pow {p k : ℕ} (hp : p.Prime) (hk : k ≠ 0) :
μ (p ^ k) = if k = 1 then -1 else 0 := by
split_ifs with h
· rw [h, pow_one, moebius_apply_prime hp]
rw [moebius_eq_zero_of_not_squarefree]
rw [squarefree_pow_iff hp.ne_one hk, not_and_or]
exact Or.inr h
theorem moebius_apply_isPrimePow_not_prime {n : ℕ} (hn : IsPrimePow n) (hn' : ¬n.Prime) :
μ n = 0 := by
obtain ⟨p, k, hp, hk, rfl⟩ := (isPrimePow_nat_iff _).1 hn
rw [moebius_apply_prime_pow hp hk.ne', if_neg]
rintro rfl
exact hn' (by simpa)
@[arith_mult]
theorem isMultiplicative_moebius : IsMultiplicative μ := by
rw [IsMultiplicative.iff_ne_zero]
refine ⟨by simp, fun {n m} hn hm hnm => ?_⟩
simp only [moebius, ZeroHom.coe_mk, coe_mk, ZeroHom.toFun_eq_coe, Eq.ndrec, ZeroHom.coe_mk,
IsUnit.mul_iff, Nat.isUnit_iff, squarefree_mul hnm, ite_zero_mul_ite_zero,
cardFactors_mul hn hm, pow_add]
theorem IsMultiplicative.prodPrimeFactors_one_add_of_squarefree [CommSemiring R]
{f : ArithmeticFunction R} (h_mult : f.IsMultiplicative) {n : ℕ} (hn : Squarefree n) :
∏ p ∈ n.primeFactors, (1 + f p) = ∑ d ∈ n.divisors, f d := by
trans (∏ᵖ p ∣ n, ((ζ : ArithmeticFunction R) + f) p)
· simp_rw [prodPrimeFactors_apply hn.ne_zero, add_apply, natCoe_apply]
apply Finset.prod_congr rfl; intro p hp
rw [zeta_apply_ne (prime_of_mem_primeFactorsList <| List.mem_toFinset.mp hp).ne_zero, cast_one]
rw [isMultiplicative_zeta.natCast.prodPrimeFactors_add_of_squarefree h_mult hn,
coe_zeta_mul_apply]
theorem IsMultiplicative.prodPrimeFactors_one_sub_of_squarefree [CommRing R]
(f : ArithmeticFunction R) (hf : f.IsMultiplicative) {n : ℕ} (hn : Squarefree n) :
∏ p ∈ n.primeFactors, (1 - f p) = ∑ d ∈ n.divisors, μ d * f d := by
trans (∏ p ∈ n.primeFactors, (1 + (ArithmeticFunction.pmul (μ : ArithmeticFunction R) f) p))
· apply Finset.prod_congr rfl; intro p hp
rw [pmul_apply, intCoe_apply, ArithmeticFunction.moebius_apply_prime
(prime_of_mem_primeFactorsList (List.mem_toFinset.mp hp))]
ring
· rw [(isMultiplicative_moebius.intCast.pmul hf).prodPrimeFactors_one_add_of_squarefree hn]
simp_rw [pmul_apply, intCoe_apply]
open UniqueFactorizationMonoid
@[simp]
theorem moebius_mul_coe_zeta : (μ * ζ : ArithmeticFunction ℤ) = 1 := by
ext n
refine recOnPosPrimePosCoprime ?_ ?_ ?_ ?_ n
· intro p n hp hn
rw [coe_mul_zeta_apply, sum_divisors_prime_pow hp, sum_range_succ']
simp_rw [Nat.pow_zero, moebius_apply_one,
moebius_apply_prime_pow hp (Nat.succ_ne_zero _), Nat.succ_inj, sum_ite_eq', mem_range,
if_pos hn, neg_add_cancel]
rw [one_apply_ne]
rw [Ne, pow_eq_one_iff]
· exact hp.ne_one
· exact hn.ne'
· rw [ZeroHom.map_zero, ZeroHom.map_zero]
· simp
· intro a b _ha _hb hab ha' hb'
rw [IsMultiplicative.map_mul_of_coprime _ hab, ha', hb',
IsMultiplicative.map_mul_of_coprime isMultiplicative_one hab]
exact isMultiplicative_moebius.mul isMultiplicative_zeta.natCast
@[simp]
theorem coe_zeta_mul_moebius : (ζ * μ : ArithmeticFunction ℤ) = 1 := by
rw [mul_comm, moebius_mul_coe_zeta]
@[simp]
theorem coe_moebius_mul_coe_zeta [Ring R] : (μ * ζ : ArithmeticFunction R) = 1 := by
rw [← coe_coe, ← intCoe_mul, moebius_mul_coe_zeta, intCoe_one]
@[simp]
theorem coe_zeta_mul_coe_moebius [Ring R] : (ζ * μ : ArithmeticFunction R) = 1 := by
rw [← coe_coe, ← intCoe_mul, coe_zeta_mul_moebius, intCoe_one]
section CommRing
variable [CommRing R]
instance : Invertible (ζ : ArithmeticFunction R) where
invOf := μ
invOf_mul_self := coe_moebius_mul_coe_zeta
mul_invOf_self := coe_zeta_mul_coe_moebius
/-- A unit in `ArithmeticFunction R` that evaluates to `ζ`, with inverse `μ`. -/
def zetaUnit : (ArithmeticFunction R)ˣ :=
⟨ζ, μ, coe_zeta_mul_coe_moebius, coe_moebius_mul_coe_zeta⟩
@[simp]
theorem coe_zetaUnit : ((zetaUnit : (ArithmeticFunction R)ˣ) : ArithmeticFunction R) = ζ :=
rfl
@[simp]
theorem inv_zetaUnit : ((zetaUnit⁻¹ : (ArithmeticFunction R)ˣ) : ArithmeticFunction R) = μ :=
rfl
end CommRing
/-- Möbius inversion for functions to an `AddCommGroup`. -/
theorem sum_eq_iff_sum_smul_moebius_eq [AddCommGroup R] {f g : ℕ → R} :
(∀ n > 0, ∑ i ∈ n.divisors, f i = g n) ↔
| ∀ n > 0, ∑ x ∈ n.divisorsAntidiagonal, μ x.fst • g x.snd = f n := by
let f' : ArithmeticFunction R := ⟨fun x => if x = 0 then 0 else f x, if_pos rfl⟩
let g' : ArithmeticFunction R := ⟨fun x => if x = 0 then 0 else g x, if_pos rfl⟩
trans (ζ : ArithmeticFunction ℤ) • f' = g'
· rw [ArithmeticFunction.ext_iff]
apply forall_congr'
intro n
| Mathlib/NumberTheory/ArithmeticFunction.lean | 1,120 | 1,126 |
/-
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.Algebra.BigOperators.Group.Finset.Piecewise
import Mathlib.Algebra.BigOperators.Group.Finset.Sigma
import Mathlib.Algebra.BigOperators.Option
import Mathlib.Data.Fintype.Option
import Mathlib.Data.Fintype.Prod
import Mathlib.Data.Fintype.Sigma
import Mathlib.Data.Fintype.Sum
import Mathlib.Data.Fintype.Vector
/-!
Results about "big operations" over a `Fintype`, and consequent
results about cardinalities of certain types.
## Implementation note
This content had previously been in `Data.Fintype.Basic`, but was moved here to avoid
requiring `Algebra.BigOperators` (and hence many other imports) as a
dependency of `Fintype`.
However many of the results here really belong in `Algebra.BigOperators.Group.Finset`
and should be moved at some point.
-/
assert_not_exists MulAction
open Mathlib
universe u v
variable {α : Type*} {β : Type*} {γ : Type*}
namespace Fintype
@[to_additive]
theorem prod_bool [CommMonoid α] (f : Bool → α) : ∏ b, f b = f true * f false := by simp
theorem card_eq_sum_ones {α} [Fintype α] : Fintype.card α = ∑ _a : α, 1 :=
Finset.card_eq_sum_ones _
section
open Finset
variable {ι : Type*} [DecidableEq ι] [Fintype ι]
@[to_additive]
theorem prod_extend_by_one [CommMonoid α] (s : Finset ι) (f : ι → α) :
∏ i, (if i ∈ s then f i else 1) = ∏ i ∈ s, f i := by
rw [← prod_filter, filter_mem_eq_inter, univ_inter]
end
section
variable {M : Type*} [Fintype α] [CommMonoid M]
@[to_additive]
theorem prod_eq_one (f : α → M) (h : ∀ a, f a = 1) : ∏ a, f a = 1 :=
Finset.prod_eq_one fun a _ha => h a
@[to_additive]
theorem prod_congr (f g : α → M) (h : ∀ a, f a = g a) : ∏ a, f a = ∏ a, g a :=
Finset.prod_congr rfl fun a _ha => h a
@[to_additive]
theorem prod_eq_single {f : α → M} (a : α) (h : ∀ x ≠ a, f x = 1) : ∏ x, f x = f a :=
Finset.prod_eq_single a (fun x _ hx => h x hx) fun ha => (ha (Finset.mem_univ a)).elim
@[to_additive]
theorem prod_eq_mul {f : α → M} (a b : α) (h₁ : a ≠ b) (h₂ : ∀ x, x ≠ a ∧ x ≠ b → f x = 1) :
∏ x, f x = f a * f b := by
apply Finset.prod_eq_mul a b h₁ fun x _ hx => h₂ x hx <;>
exact fun hc => (hc (Finset.mem_univ _)).elim
/-- If a product of a `Finset` of a subsingleton type has a given
value, so do the terms in that product. -/
@[to_additive "If a sum of a `Finset` of a subsingleton type has a given
value, so do the terms in that sum."]
theorem eq_of_subsingleton_of_prod_eq {ι : Type*} [Subsingleton ι] {s : Finset ι} {f : ι → M}
{b : M} (h : ∏ i ∈ s, f i = b) : ∀ i ∈ s, f i = b :=
Finset.eq_of_card_le_one_of_prod_eq (Finset.card_le_one_of_subsingleton s) h
end
end Fintype
open Finset
section
variable {M : Type*} [Fintype α] [CommMonoid M]
@[to_additive (attr := simp)]
theorem Fintype.prod_option (f : Option α → M) : ∏ i, f i = f none * ∏ i, f (some i) :=
Finset.prod_insertNone f univ
@[to_additive]
theorem Fintype.prod_eq_mul_prod_subtype_ne [DecidableEq α] (f : α → M) (a : α) :
∏ i, f i = f a * ∏ i : {i // i ≠ a}, f i.1 := by
simp_rw [← (Equiv.optionSubtypeNe a).prod_comp, prod_option, Equiv.optionSubtypeNe_none,
Equiv.optionSubtypeNe_some]
end
open Finset
section Pi
variable {ι κ : Type*} {α : ι → Type*} [DecidableEq ι] [DecidableEq κ]
@[simp] lemma Finset.card_pi (s : Finset ι) (t : ∀ i, Finset (α i)) :
#(s.pi t) = ∏ i ∈ s, #(t i) := Multiset.card_pi _ _
namespace Fintype
variable [Fintype ι]
@[simp] lemma card_piFinset (s : ∀ i, Finset (α i)) :
#(piFinset s) = ∏ i, #(s i) := by simp [piFinset, card_map]
/-- This lemma is specifically designed to be used backwards, whence the specialisation to `Fin n`
as the indexing type doesn't matter in practice. The more general forward direction lemma here is
`Fintype.card_piFinset`. -/
lemma card_piFinset_const {α : Type*} (s : Finset α) (n : ℕ) :
#(piFinset fun _ : Fin n ↦ s) = #s ^ n := by simp
@[simp] lemma card_pi [∀ i, Fintype (α i)] : card (∀ i, α i) = ∏ i, card (α i) :=
card_piFinset _
/-- This lemma is specifically designed to be used backwards, whence the specialisation to `Fin n`
as the indexing type doesn't matter in practice. The more general forward direction lemma here is
`Fintype.card_pi`. -/
lemma card_pi_const (α : Type*) [Fintype α] (n : ℕ) : card (Fin n → α) = card α ^ n :=
card_piFinset_const _ _
/-- Product over a sigma type equals the repeated product.
This is a version of `Finset.prod_sigma` specialized to the case
of multiplication over `Finset.univ`. -/
@[to_additive "Sum over a sigma type equals the repeated sum.
This is a version of `Finset.sum_sigma` specialized to the case of summation over `Finset.univ`."]
theorem prod_sigma {ι} {α : ι → Type*} {M : Type*} [Fintype ι] [∀ i, Fintype (α i)] [CommMonoid M]
(f : Sigma α → M) : ∏ x, f x = ∏ x, ∏ y, f ⟨x, y⟩ :=
Finset.prod_sigma ..
/-- Product over a sigma type equals the repeated product, curried version.
This version is useful to rewrite from right to left. -/
@[to_additive "Sum over a sigma type equals the repeated sum, curried version.
This version is useful to rewrite from right to left."]
theorem prod_sigma' {ι} {α : ι → Type*} {M : Type*} [Fintype ι] [∀ i, Fintype (α i)] [CommMonoid M]
(f : (i : ι) → α i → M) : ∏ x : Sigma α, f x.1 x.2 = ∏ x, ∏ y, f x y :=
prod_sigma ..
@[simp] nonrec lemma card_sigma {ι} {α : ι → Type*} [Fintype ι] [∀ i, Fintype (α i)] :
card (Sigma α) = ∑ i, card (α i) := card_sigma _ _
| /-- The number of dependent maps `f : Π j, s j` for which the `i` component is `a` is the product
over all `j ≠ i` of `#(s j)`.
Note that this is just a composition of easier lemmas, but there's some glue missing to make that
smooth enough not to need this lemma. -/
lemma card_filter_piFinset_eq_of_mem [∀ i, DecidableEq (α i)]
| Mathlib/Data/Fintype/BigOperators.lean | 161 | 166 |
/-
Copyright (c) 2019 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.Analysis.Calculus.ContDiff.Defs
import Mathlib.Analysis.Calculus.ContDiff.FaaDiBruno
import Mathlib.Analysis.Calculus.FDeriv.Add
import Mathlib.Analysis.Calculus.FDeriv.Mul
/-!
# Higher differentiability of composition
We prove that the composition of `C^n` functions is `C^n`.
We also expand the API around `C^n` functions.
## Main results
* `ContDiff.comp` states that the composition of two `C^n` functions is `C^n`.
Similar results are given for `C^n` functions on domains.
## Notations
We use the notation `E [×n]→L[𝕜] F` for the space of continuous multilinear maps on `E^n` with
values in `F`. This is the space in which the `n`-th derivative of a function from `E` to `F` lives.
In this file, we denote `(⊤ : ℕ∞) : WithTop ℕ∞` with `∞` and `⊤ : WithTop ℕ∞` with `ω`.
## Tags
derivative, differentiability, higher derivative, `C^n`, multilinear, Taylor series, formal series
-/
noncomputable section
open scoped NNReal Nat ContDiff
universe u uE uF uG
attribute [local instance 1001]
NormedAddCommGroup.toAddCommGroup AddCommGroup.toAddCommMonoid
open Set Fin Filter Function
open scoped Topology
variable {𝕜 : Type*} [NontriviallyNormedField 𝕜]
{E : Type uE} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {F : Type uF}
[NormedAddCommGroup F] [NormedSpace 𝕜 F] {G : Type uG} [NormedAddCommGroup G] [NormedSpace 𝕜 G]
{X : Type*} [NormedAddCommGroup X] [NormedSpace 𝕜 X] {s t : Set E} {f : E → F}
{g : F → G} {x x₀ : E} {b : E × F → G} {m n : WithTop ℕ∞} {p : E → FormalMultilinearSeries 𝕜 E F}
/-! ### Constants -/
section constants
theorem iteratedFDerivWithin_succ_const (n : ℕ) (c : F) :
iteratedFDerivWithin 𝕜 (n + 1) (fun _ : E ↦ c) s = 0 := by
induction n with
| zero =>
ext1
simp [iteratedFDerivWithin_succ_eq_comp_left, iteratedFDerivWithin_zero_eq_comp, comp_def]
| succ n IH =>
rw [iteratedFDerivWithin_succ_eq_comp_left, IH]
simp only [Pi.zero_def, comp_def, fderivWithin_const, map_zero]
@[simp]
theorem iteratedFDerivWithin_zero_fun {i : ℕ} :
iteratedFDerivWithin 𝕜 i (fun _ : E ↦ (0 : F)) s = 0 := by
cases i with
| zero => ext; simp
| succ i => apply iteratedFDerivWithin_succ_const
@[simp]
theorem iteratedFDeriv_zero_fun {n : ℕ} : (iteratedFDeriv 𝕜 n fun _ : E ↦ (0 : F)) = 0 :=
funext fun x ↦ by simp only [← iteratedFDerivWithin_univ, iteratedFDerivWithin_zero_fun]
theorem contDiff_zero_fun : ContDiff 𝕜 n fun _ : E => (0 : F) :=
analyticOnNhd_const.contDiff
/-- Constants are `C^∞`. -/
theorem contDiff_const {c : F} : ContDiff 𝕜 n fun _ : E => c :=
analyticOnNhd_const.contDiff
theorem contDiffOn_const {c : F} {s : Set E} : ContDiffOn 𝕜 n (fun _ : E => c) s :=
contDiff_const.contDiffOn
theorem contDiffAt_const {c : F} : ContDiffAt 𝕜 n (fun _ : E => c) x :=
contDiff_const.contDiffAt
theorem contDiffWithinAt_const {c : F} : ContDiffWithinAt 𝕜 n (fun _ : E => c) s x :=
contDiffAt_const.contDiffWithinAt
@[nontriviality]
theorem contDiff_of_subsingleton [Subsingleton F] : ContDiff 𝕜 n f := by
rw [Subsingleton.elim f fun _ => 0]; exact contDiff_const
@[nontriviality]
theorem contDiffAt_of_subsingleton [Subsingleton F] : ContDiffAt 𝕜 n f x := by
rw [Subsingleton.elim f fun _ => 0]; exact contDiffAt_const
@[nontriviality]
theorem contDiffWithinAt_of_subsingleton [Subsingleton F] : ContDiffWithinAt 𝕜 n f s x := by
rw [Subsingleton.elim f fun _ => 0]; exact contDiffWithinAt_const
@[nontriviality]
theorem contDiffOn_of_subsingleton [Subsingleton F] : ContDiffOn 𝕜 n f s := by
rw [Subsingleton.elim f fun _ => 0]; exact contDiffOn_const
theorem iteratedFDerivWithin_const_of_ne {n : ℕ} (hn : n ≠ 0) (c : F) (s : Set E) :
iteratedFDerivWithin 𝕜 n (fun _ : E ↦ c) s = 0 := by
cases n with
| zero => contradiction
| succ n => exact iteratedFDerivWithin_succ_const n c
theorem iteratedFDeriv_const_of_ne {n : ℕ} (hn : n ≠ 0) (c : F) :
(iteratedFDeriv 𝕜 n fun _ : E ↦ c) = 0 := by
simp only [← iteratedFDerivWithin_univ, iteratedFDerivWithin_const_of_ne hn]
theorem iteratedFDeriv_succ_const (n : ℕ) (c : F) :
(iteratedFDeriv 𝕜 (n + 1) fun _ : E ↦ c) = 0 :=
iteratedFDeriv_const_of_ne (by simp) _
theorem contDiffWithinAt_singleton : ContDiffWithinAt 𝕜 n f {x} x :=
(contDiffWithinAt_const (c := f x)).congr (by simp) rfl
end constants
/-! ### Smoothness of linear functions -/
section linear
/-- Unbundled bounded linear functions are `C^n`. -/
theorem IsBoundedLinearMap.contDiff (hf : IsBoundedLinearMap 𝕜 f) : ContDiff 𝕜 n f :=
(ContinuousLinearMap.analyticOnNhd hf.toContinuousLinearMap univ).contDiff
theorem ContinuousLinearMap.contDiff (f : E →L[𝕜] F) : ContDiff 𝕜 n f :=
f.isBoundedLinearMap.contDiff
theorem ContinuousLinearEquiv.contDiff (f : E ≃L[𝕜] F) : ContDiff 𝕜 n f :=
(f : E →L[𝕜] F).contDiff
theorem LinearIsometry.contDiff (f : E →ₗᵢ[𝕜] F) : ContDiff 𝕜 n f :=
f.toContinuousLinearMap.contDiff
theorem LinearIsometryEquiv.contDiff (f : E ≃ₗᵢ[𝕜] F) : ContDiff 𝕜 n f :=
(f : E →L[𝕜] F).contDiff
/-- The identity is `C^n`. -/
theorem contDiff_id : ContDiff 𝕜 n (id : E → E) :=
IsBoundedLinearMap.id.contDiff
theorem contDiffWithinAt_id {s x} : ContDiffWithinAt 𝕜 n (id : E → E) s x :=
contDiff_id.contDiffWithinAt
theorem contDiffAt_id {x} : ContDiffAt 𝕜 n (id : E → E) x :=
contDiff_id.contDiffAt
theorem contDiffOn_id {s} : ContDiffOn 𝕜 n (id : E → E) s :=
contDiff_id.contDiffOn
/-- Bilinear functions are `C^n`. -/
theorem IsBoundedBilinearMap.contDiff (hb : IsBoundedBilinearMap 𝕜 b) : ContDiff 𝕜 n b :=
(hb.toContinuousLinearMap.analyticOnNhd_bilinear _).contDiff
/-- If `f` admits a Taylor series `p` in a set `s`, and `g` is linear, then `g ∘ f` admits a Taylor
series whose `k`-th term is given by `g ∘ (p k)`. -/
theorem HasFTaylorSeriesUpToOn.continuousLinearMap_comp {n : WithTop ℕ∞} (g : F →L[𝕜] G)
(hf : HasFTaylorSeriesUpToOn n f p s) :
HasFTaylorSeriesUpToOn n (g ∘ f) (fun x k => g.compContinuousMultilinearMap (p x k)) s where
zero_eq x hx := congr_arg g (hf.zero_eq x hx)
fderivWithin m hm x hx := (ContinuousLinearMap.compContinuousMultilinearMapL 𝕜
(fun _ : Fin m => E) F G g).hasFDerivAt.comp_hasFDerivWithinAt x (hf.fderivWithin m hm x hx)
cont m hm := (ContinuousLinearMap.compContinuousMultilinearMapL 𝕜
(fun _ : Fin m => E) F G g).continuous.comp_continuousOn (hf.cont m hm)
/-- Composition by continuous linear maps on the left preserves `C^n` functions in a domain
at a point. -/
theorem ContDiffWithinAt.continuousLinearMap_comp (g : F →L[𝕜] G)
(hf : ContDiffWithinAt 𝕜 n f s x) : ContDiffWithinAt 𝕜 n (g ∘ f) s x := by
match n with
| ω =>
obtain ⟨u, hu, p, hp, h'p⟩ := hf
refine ⟨u, hu, _, hp.continuousLinearMap_comp g, fun i ↦ ?_⟩
change AnalyticOn 𝕜
(fun x ↦ (ContinuousLinearMap.compContinuousMultilinearMapL 𝕜
(fun _ : Fin i ↦ E) F G g) (p x i)) u
apply AnalyticOnNhd.comp_analyticOn _ (h'p i) (Set.mapsTo_univ _ _)
exact ContinuousLinearMap.analyticOnNhd _ _
| (n : ℕ∞) =>
intro m hm
rcases hf m hm with ⟨u, hu, p, hp⟩
exact ⟨u, hu, _, hp.continuousLinearMap_comp g⟩
/-- Composition by continuous linear maps on the left preserves `C^n` functions in a domain
at a point. -/
theorem ContDiffAt.continuousLinearMap_comp (g : F →L[𝕜] G) (hf : ContDiffAt 𝕜 n f x) :
ContDiffAt 𝕜 n (g ∘ f) x :=
ContDiffWithinAt.continuousLinearMap_comp g hf
/-- Composition by continuous linear maps on the left preserves `C^n` functions on domains. -/
theorem ContDiffOn.continuousLinearMap_comp (g : F →L[𝕜] G) (hf : ContDiffOn 𝕜 n f s) :
ContDiffOn 𝕜 n (g ∘ f) s := fun x hx => (hf x hx).continuousLinearMap_comp g
/-- Composition by continuous linear maps on the left preserves `C^n` functions. -/
theorem ContDiff.continuousLinearMap_comp {f : E → F} (g : F →L[𝕜] G) (hf : ContDiff 𝕜 n f) :
ContDiff 𝕜 n fun x => g (f x) :=
contDiffOn_univ.1 <| ContDiffOn.continuousLinearMap_comp _ (contDiffOn_univ.2 hf)
/-- The iterated derivative within a set of the composition with a linear map on the left is
obtained by applying the linear map to the iterated derivative. -/
theorem ContinuousLinearMap.iteratedFDerivWithin_comp_left {f : E → F} (g : F →L[𝕜] G)
(hf : ContDiffWithinAt 𝕜 n f s x) (hs : UniqueDiffOn 𝕜 s) (hx : x ∈ s) {i : ℕ} (hi : i ≤ n) :
iteratedFDerivWithin 𝕜 i (g ∘ f) s x =
g.compContinuousMultilinearMap (iteratedFDerivWithin 𝕜 i f s x) := by
rcases hf.contDiffOn' hi (by simp) with ⟨U, hU, hxU, hfU⟩
rw [← iteratedFDerivWithin_inter_open hU hxU, ← iteratedFDerivWithin_inter_open (f := f) hU hxU]
rw [insert_eq_of_mem hx] at hfU
exact .symm <| (hfU.ftaylorSeriesWithin (hs.inter hU)).continuousLinearMap_comp g
|>.eq_iteratedFDerivWithin_of_uniqueDiffOn le_rfl (hs.inter hU) ⟨hx, hxU⟩
/-- The iterated derivative of the composition with a linear map on the left is
obtained by applying the linear map to the iterated derivative. -/
theorem ContinuousLinearMap.iteratedFDeriv_comp_left {f : E → F} (g : F →L[𝕜] G)
(hf : ContDiffAt 𝕜 n f x) {i : ℕ} (hi : i ≤ n) :
iteratedFDeriv 𝕜 i (g ∘ f) x = g.compContinuousMultilinearMap (iteratedFDeriv 𝕜 i f x) := by
simp only [← iteratedFDerivWithin_univ]
exact g.iteratedFDerivWithin_comp_left hf.contDiffWithinAt uniqueDiffOn_univ (mem_univ x) hi
/-- The iterated derivative within a set of the composition with a linear equiv on the left is
obtained by applying the linear equiv to the iterated derivative. This is true without
differentiability assumptions. -/
theorem ContinuousLinearEquiv.iteratedFDerivWithin_comp_left (g : F ≃L[𝕜] G) (f : E → F)
(hs : UniqueDiffOn 𝕜 s) (hx : x ∈ s) (i : ℕ) :
iteratedFDerivWithin 𝕜 i (g ∘ f) s x =
(g : F →L[𝕜] G).compContinuousMultilinearMap (iteratedFDerivWithin 𝕜 i f s x) := by
induction' i with i IH generalizing x
· ext1 m
simp only [iteratedFDerivWithin_zero_apply, comp_apply,
ContinuousLinearMap.compContinuousMultilinearMap_coe, coe_coe]
· ext1 m
rw [iteratedFDerivWithin_succ_apply_left]
have Z : fderivWithin 𝕜 (iteratedFDerivWithin 𝕜 i (g ∘ f) s) s x =
fderivWithin 𝕜 (g.continuousMultilinearMapCongrRight (fun _ : Fin i => E) ∘
iteratedFDerivWithin 𝕜 i f s) s x :=
fderivWithin_congr' (@IH) hx
simp_rw [Z]
rw [(g.continuousMultilinearMapCongrRight fun _ : Fin i => E).comp_fderivWithin (hs x hx)]
simp only [ContinuousLinearMap.coe_comp', ContinuousLinearEquiv.coe_coe, comp_apply,
ContinuousLinearEquiv.continuousMultilinearMapCongrRight_apply,
ContinuousLinearMap.compContinuousMultilinearMap_coe, EmbeddingLike.apply_eq_iff_eq]
rw [iteratedFDerivWithin_succ_apply_left]
/-- Composition with a linear isometry on the left preserves the norm of the iterated
derivative within a set. -/
theorem LinearIsometry.norm_iteratedFDerivWithin_comp_left {f : E → F} (g : F →ₗᵢ[𝕜] G)
(hf : ContDiffWithinAt 𝕜 n f s x) (hs : UniqueDiffOn 𝕜 s) (hx : x ∈ s) {i : ℕ} (hi : i ≤ n) :
‖iteratedFDerivWithin 𝕜 i (g ∘ f) s x‖ = ‖iteratedFDerivWithin 𝕜 i f s x‖ := by
have :
iteratedFDerivWithin 𝕜 i (g ∘ f) s x =
g.toContinuousLinearMap.compContinuousMultilinearMap (iteratedFDerivWithin 𝕜 i f s x) :=
g.toContinuousLinearMap.iteratedFDerivWithin_comp_left hf hs hx hi
rw [this]
apply LinearIsometry.norm_compContinuousMultilinearMap
/-- Composition with a linear isometry on the left preserves the norm of the iterated
derivative. -/
theorem LinearIsometry.norm_iteratedFDeriv_comp_left {f : E → F} (g : F →ₗᵢ[𝕜] G)
(hf : ContDiffAt 𝕜 n f x) {i : ℕ} (hi : i ≤ n) :
‖iteratedFDeriv 𝕜 i (g ∘ f) x‖ = ‖iteratedFDeriv 𝕜 i f x‖ := by
simp only [← iteratedFDerivWithin_univ]
exact g.norm_iteratedFDerivWithin_comp_left hf.contDiffWithinAt uniqueDiffOn_univ (mem_univ x) hi
/-- Composition with a linear isometry equiv on the left preserves the norm of the iterated
derivative within a set. -/
theorem LinearIsometryEquiv.norm_iteratedFDerivWithin_comp_left (g : F ≃ₗᵢ[𝕜] G) (f : E → F)
(hs : UniqueDiffOn 𝕜 s) (hx : x ∈ s) (i : ℕ) :
‖iteratedFDerivWithin 𝕜 i (g ∘ f) s x‖ = ‖iteratedFDerivWithin 𝕜 i f s x‖ := by
have :
iteratedFDerivWithin 𝕜 i (g ∘ f) s x =
(g : F →L[𝕜] G).compContinuousMultilinearMap (iteratedFDerivWithin 𝕜 i f s x) :=
g.toContinuousLinearEquiv.iteratedFDerivWithin_comp_left f hs hx i
rw [this]
apply LinearIsometry.norm_compContinuousMultilinearMap g.toLinearIsometry
/-- Composition with a linear isometry equiv on the left preserves the norm of the iterated
derivative. -/
theorem LinearIsometryEquiv.norm_iteratedFDeriv_comp_left (g : F ≃ₗᵢ[𝕜] G) (f : E → F) (x : E)
(i : ℕ) : ‖iteratedFDeriv 𝕜 i (g ∘ f) x‖ = ‖iteratedFDeriv 𝕜 i f x‖ := by
rw [← iteratedFDerivWithin_univ, ← iteratedFDerivWithin_univ]
apply g.norm_iteratedFDerivWithin_comp_left f uniqueDiffOn_univ (mem_univ x) i
/-- Composition by continuous linear equivs on the left respects higher differentiability at a
point in a domain. -/
theorem ContinuousLinearEquiv.comp_contDiffWithinAt_iff (e : F ≃L[𝕜] G) :
ContDiffWithinAt 𝕜 n (e ∘ f) s x ↔ ContDiffWithinAt 𝕜 n f s x :=
⟨fun H => by
simpa only [Function.comp_def, e.symm.coe_coe, e.symm_apply_apply] using
H.continuousLinearMap_comp (e.symm : G →L[𝕜] F),
fun H => H.continuousLinearMap_comp (e : F →L[𝕜] G)⟩
/-- Composition by continuous linear equivs on the left respects higher differentiability at a
point. -/
theorem ContinuousLinearEquiv.comp_contDiffAt_iff (e : F ≃L[𝕜] G) :
ContDiffAt 𝕜 n (e ∘ f) x ↔ ContDiffAt 𝕜 n f x := by
simp only [← contDiffWithinAt_univ, e.comp_contDiffWithinAt_iff]
/-- Composition by continuous linear equivs on the left respects higher differentiability on
domains. -/
theorem ContinuousLinearEquiv.comp_contDiffOn_iff (e : F ≃L[𝕜] G) :
ContDiffOn 𝕜 n (e ∘ f) s ↔ ContDiffOn 𝕜 n f s := by
simp [ContDiffOn, e.comp_contDiffWithinAt_iff]
/-- Composition by continuous linear equivs on the left respects higher differentiability. -/
theorem ContinuousLinearEquiv.comp_contDiff_iff (e : F ≃L[𝕜] G) :
ContDiff 𝕜 n (e ∘ f) ↔ ContDiff 𝕜 n f := by
simp only [← contDiffOn_univ, e.comp_contDiffOn_iff]
/-- If `f` admits a Taylor series `p` in a set `s`, and `g` is linear, then `f ∘ g` admits a Taylor
series in `g ⁻¹' s`, whose `k`-th term is given by `p k (g v₁, ..., g vₖ)` . -/
theorem HasFTaylorSeriesUpToOn.compContinuousLinearMap
(hf : HasFTaylorSeriesUpToOn n f p s) (g : G →L[𝕜] E) :
HasFTaylorSeriesUpToOn n (f ∘ g) (fun x k => (p (g x) k).compContinuousLinearMap fun _ => g)
(g ⁻¹' s) := by
let A : ∀ m : ℕ, (E[×m]→L[𝕜] F) → G[×m]→L[𝕜] F := fun m h => h.compContinuousLinearMap fun _ => g
have hA : ∀ m, IsBoundedLinearMap 𝕜 (A m) := fun m =>
isBoundedLinearMap_continuousMultilinearMap_comp_linear g
constructor
· intro x hx
simp only [(hf.zero_eq (g x) hx).symm, Function.comp_apply]
change (p (g x) 0 fun _ : Fin 0 => g 0) = p (g x) 0 0
rw [ContinuousLinearMap.map_zero]
rfl
· intro m hm x hx
convert (hA m).hasFDerivAt.comp_hasFDerivWithinAt x
((hf.fderivWithin m hm (g x) hx).comp x g.hasFDerivWithinAt (Subset.refl _))
ext y v
change p (g x) (Nat.succ m) (g ∘ cons y v) = p (g x) m.succ (cons (g y) (g ∘ v))
rw [comp_cons]
· intro m hm
exact (hA m).continuous.comp_continuousOn <| (hf.cont m hm).comp g.continuous.continuousOn <|
Subset.refl _
/-- Composition by continuous linear maps on the right preserves `C^n` functions at a point on
a domain. -/
theorem ContDiffWithinAt.comp_continuousLinearMap {x : G} (g : G →L[𝕜] E)
(hf : ContDiffWithinAt 𝕜 n f s (g x)) : ContDiffWithinAt 𝕜 n (f ∘ g) (g ⁻¹' s) x := by
match n with
| ω =>
obtain ⟨u, hu, p, hp, h'p⟩ := hf
refine ⟨g ⁻¹' u, ?_, _, hp.compContinuousLinearMap g, ?_⟩
· refine g.continuous.continuousWithinAt.tendsto_nhdsWithin ?_ hu
exact (mapsTo_singleton.2 <| mem_singleton _).union_union (mapsTo_preimage _ _)
· intro i
change AnalyticOn 𝕜 (fun x ↦
ContinuousMultilinearMap.compContinuousLinearMapL (fun _ ↦ g) (p (g x) i)) (⇑g ⁻¹' u)
apply AnalyticOn.comp _ _ (Set.mapsTo_univ _ _)
· exact ContinuousLinearEquiv.analyticOn _ _
· exact (h'p i).comp (g.analyticOn _) (mapsTo_preimage _ _)
| (n : ℕ∞) =>
intro m hm
rcases hf m hm with ⟨u, hu, p, hp⟩
refine ⟨g ⁻¹' u, ?_, _, hp.compContinuousLinearMap g⟩
refine g.continuous.continuousWithinAt.tendsto_nhdsWithin ?_ hu
exact (mapsTo_singleton.2 <| mem_singleton _).union_union (mapsTo_preimage _ _)
/-- Composition by continuous linear maps on the right preserves `C^n` functions on domains. -/
theorem ContDiffOn.comp_continuousLinearMap (hf : ContDiffOn 𝕜 n f s) (g : G →L[𝕜] E) :
ContDiffOn 𝕜 n (f ∘ g) (g ⁻¹' s) := fun x hx => (hf (g x) hx).comp_continuousLinearMap g
/-- Composition by continuous linear maps on the right preserves `C^n` functions. -/
theorem ContDiff.comp_continuousLinearMap {f : E → F} {g : G →L[𝕜] E} (hf : ContDiff 𝕜 n f) :
ContDiff 𝕜 n (f ∘ g) :=
contDiffOn_univ.1 <| ContDiffOn.comp_continuousLinearMap (contDiffOn_univ.2 hf) _
/-- The iterated derivative within a set of the composition with a linear map on the right is
obtained by composing the iterated derivative with the linear map. -/
theorem ContinuousLinearMap.iteratedFDerivWithin_comp_right {f : E → F} (g : G →L[𝕜] E)
(hf : ContDiffOn 𝕜 n f s) (hs : UniqueDiffOn 𝕜 s) (h's : UniqueDiffOn 𝕜 (g ⁻¹' s)) {x : G}
(hx : g x ∈ s) {i : ℕ} (hi : i ≤ n) :
iteratedFDerivWithin 𝕜 i (f ∘ g) (g ⁻¹' s) x =
(iteratedFDerivWithin 𝕜 i f s (g x)).compContinuousLinearMap fun _ => g :=
((((hf.of_le hi).ftaylorSeriesWithin hs).compContinuousLinearMap
g).eq_iteratedFDerivWithin_of_uniqueDiffOn le_rfl h's hx).symm
/-- The iterated derivative within a set of the composition with a linear equiv on the right is
obtained by composing the iterated derivative with the linear equiv. -/
theorem ContinuousLinearEquiv.iteratedFDerivWithin_comp_right (g : G ≃L[𝕜] E) (f : E → F)
(hs : UniqueDiffOn 𝕜 s) {x : G} (hx : g x ∈ s) (i : ℕ) :
iteratedFDerivWithin 𝕜 i (f ∘ g) (g ⁻¹' s) x =
(iteratedFDerivWithin 𝕜 i f s (g x)).compContinuousLinearMap fun _ => g := by
induction' i with i IH generalizing x
· ext1
simp only [iteratedFDerivWithin_zero_apply, comp_apply,
ContinuousMultilinearMap.compContinuousLinearMap_apply]
· ext1 m
simp only [ContinuousMultilinearMap.compContinuousLinearMap_apply,
ContinuousLinearEquiv.coe_coe, iteratedFDerivWithin_succ_apply_left]
have : fderivWithin 𝕜 (iteratedFDerivWithin 𝕜 i (f ∘ g) (g ⁻¹' s)) (g ⁻¹' s) x =
fderivWithin 𝕜
(ContinuousLinearEquiv.continuousMultilinearMapCongrLeft _ (fun _x : Fin i => g) ∘
(iteratedFDerivWithin 𝕜 i f s ∘ g)) (g ⁻¹' s) x :=
fderivWithin_congr' (@IH) hx
rw [this, ContinuousLinearEquiv.comp_fderivWithin _ (g.uniqueDiffOn_preimage_iff.2 hs x hx)]
simp only [ContinuousLinearMap.coe_comp', ContinuousLinearEquiv.coe_coe, comp_apply,
ContinuousLinearEquiv.continuousMultilinearMapCongrLeft_apply,
ContinuousMultilinearMap.compContinuousLinearMap_apply]
rw [ContinuousLinearEquiv.comp_right_fderivWithin _ (g.uniqueDiffOn_preimage_iff.2 hs x hx),
ContinuousLinearMap.coe_comp', coe_coe, comp_apply, tail_def, tail_def]
/-- The iterated derivative of the composition with a linear map on the right is
obtained by composing the iterated derivative with the linear map. -/
theorem ContinuousLinearMap.iteratedFDeriv_comp_right (g : G →L[𝕜] E) {f : E → F}
(hf : ContDiff 𝕜 n f) (x : G) {i : ℕ} (hi : i ≤ n) :
iteratedFDeriv 𝕜 i (f ∘ g) x =
(iteratedFDeriv 𝕜 i f (g x)).compContinuousLinearMap fun _ => g := by
simp only [← iteratedFDerivWithin_univ]
exact g.iteratedFDerivWithin_comp_right hf.contDiffOn uniqueDiffOn_univ uniqueDiffOn_univ
(mem_univ _) hi
/-- Composition with a linear isometry on the right preserves the norm of the iterated derivative
within a set. -/
theorem LinearIsometryEquiv.norm_iteratedFDerivWithin_comp_right (g : G ≃ₗᵢ[𝕜] E) (f : E → F)
(hs : UniqueDiffOn 𝕜 s) {x : G} (hx : g x ∈ s) (i : ℕ) :
‖iteratedFDerivWithin 𝕜 i (f ∘ g) (g ⁻¹' s) x‖ = ‖iteratedFDerivWithin 𝕜 i f s (g x)‖ := by
have : iteratedFDerivWithin 𝕜 i (f ∘ g) (g ⁻¹' s) x =
(iteratedFDerivWithin 𝕜 i f s (g x)).compContinuousLinearMap fun _ => g :=
g.toContinuousLinearEquiv.iteratedFDerivWithin_comp_right f hs hx i
rw [this, ContinuousMultilinearMap.norm_compContinuous_linearIsometryEquiv]
/-- Composition with a linear isometry on the right preserves the norm of the iterated derivative
within a set. -/
theorem LinearIsometryEquiv.norm_iteratedFDeriv_comp_right (g : G ≃ₗᵢ[𝕜] E) (f : E → F) (x : G)
(i : ℕ) : ‖iteratedFDeriv 𝕜 i (f ∘ g) x‖ = ‖iteratedFDeriv 𝕜 i f (g x)‖ := by
simp only [← iteratedFDerivWithin_univ]
apply g.norm_iteratedFDerivWithin_comp_right f uniqueDiffOn_univ (mem_univ (g x)) i
/-- Composition by continuous linear equivs on the right respects higher differentiability at a
point in a domain. -/
theorem ContinuousLinearEquiv.contDiffWithinAt_comp_iff (e : G ≃L[𝕜] E) :
ContDiffWithinAt 𝕜 n (f ∘ e) (e ⁻¹' s) (e.symm x) ↔ ContDiffWithinAt 𝕜 n f s x := by
constructor
· intro H
simpa [← preimage_comp, Function.comp_def] using H.comp_continuousLinearMap (e.symm : E →L[𝕜] G)
· intro H
rw [← e.apply_symm_apply x, ← e.coe_coe] at H
exact H.comp_continuousLinearMap _
/-- Composition by continuous linear equivs on the right respects higher differentiability at a
point. -/
theorem ContinuousLinearEquiv.contDiffAt_comp_iff (e : G ≃L[𝕜] E) :
ContDiffAt 𝕜 n (f ∘ e) (e.symm x) ↔ ContDiffAt 𝕜 n f x := by
rw [← contDiffWithinAt_univ, ← contDiffWithinAt_univ, ← preimage_univ]
exact e.contDiffWithinAt_comp_iff
/-- Composition by continuous linear equivs on the right respects higher differentiability on
domains. -/
theorem ContinuousLinearEquiv.contDiffOn_comp_iff (e : G ≃L[𝕜] E) :
ContDiffOn 𝕜 n (f ∘ e) (e ⁻¹' s) ↔ ContDiffOn 𝕜 n f s :=
⟨fun H => by simpa [Function.comp_def] using H.comp_continuousLinearMap (e.symm : E →L[𝕜] G),
fun H => H.comp_continuousLinearMap (e : G →L[𝕜] E)⟩
/-- Composition by continuous linear equivs on the right respects higher differentiability. -/
theorem ContinuousLinearEquiv.contDiff_comp_iff (e : G ≃L[𝕜] E) :
ContDiff 𝕜 n (f ∘ e) ↔ ContDiff 𝕜 n f := by
rw [← contDiffOn_univ, ← contDiffOn_univ, ← preimage_univ]
exact e.contDiffOn_comp_iff
end linear
/-! ### The Cartesian product of two C^n functions is C^n. -/
section prod
/-- If two functions `f` and `g` admit Taylor series `p` and `q` in a set `s`, then the cartesian
product of `f` and `g` admits the cartesian product of `p` and `q` as a Taylor series. -/
theorem HasFTaylorSeriesUpToOn.prodMk {n : WithTop ℕ∞}
(hf : HasFTaylorSeriesUpToOn n f p s) {g : E → G}
{q : E → FormalMultilinearSeries 𝕜 E G} (hg : HasFTaylorSeriesUpToOn n g q s) :
HasFTaylorSeriesUpToOn n (fun y => (f y, g y)) (fun y k => (p y k).prod (q y k)) s := by
set L := fun m => ContinuousMultilinearMap.prodL 𝕜 (fun _ : Fin m => E) F G
constructor
· intro x hx; rw [← hf.zero_eq x hx, ← hg.zero_eq x hx]; rfl
· intro m hm x hx
convert (L m).hasFDerivAt.comp_hasFDerivWithinAt x
((hf.fderivWithin m hm x hx).prodMk (hg.fderivWithin m hm x hx))
· intro m hm
exact (L m).continuous.comp_continuousOn ((hf.cont m hm).prodMk (hg.cont m hm))
@[deprecated (since := "2025-03-09")]
alias HasFTaylorSeriesUpToOn.prod := HasFTaylorSeriesUpToOn.prodMk
/-- The cartesian product of `C^n` functions at a point in a domain is `C^n`. -/
theorem ContDiffWithinAt.prodMk {s : Set E} {f : E → F} {g : E → G}
(hf : ContDiffWithinAt 𝕜 n f s x) (hg : ContDiffWithinAt 𝕜 n g s x) :
ContDiffWithinAt 𝕜 n (fun x : E => (f x, g x)) s x := by
match n with
| ω =>
obtain ⟨u, hu, p, hp, h'p⟩ := hf
obtain ⟨v, hv, q, hq, h'q⟩ := hg
refine ⟨u ∩ v, Filter.inter_mem hu hv, _,
(hp.mono inter_subset_left).prodMk (hq.mono inter_subset_right), fun i ↦ ?_⟩
change AnalyticOn 𝕜 (fun x ↦ ContinuousMultilinearMap.prodL _ _ _ _ (p x i, q x i)) (u ∩ v)
apply (LinearIsometryEquiv.analyticOnNhd _ _).comp_analyticOn _ (Set.mapsTo_univ _ _)
exact ((h'p i).mono inter_subset_left).prod ((h'q i).mono inter_subset_right)
| (n : ℕ∞) =>
intro m hm
rcases hf m hm with ⟨u, hu, p, hp⟩
rcases hg m hm with ⟨v, hv, q, hq⟩
exact ⟨u ∩ v, Filter.inter_mem hu hv, _,
(hp.mono inter_subset_left).prodMk (hq.mono inter_subset_right)⟩
@[deprecated (since := "2025-03-09")]
alias ContDiffWithinAt.prod := ContDiffWithinAt.prodMk
/-- The cartesian product of `C^n` functions on domains is `C^n`. -/
theorem ContDiffOn.prodMk {s : Set E} {f : E → F} {g : E → G} (hf : ContDiffOn 𝕜 n f s)
(hg : ContDiffOn 𝕜 n g s) : ContDiffOn 𝕜 n (fun x : E => (f x, g x)) s := fun x hx =>
(hf x hx).prodMk (hg x hx)
@[deprecated (since := "2025-03-09")]
alias ContDiffOn.prod := ContDiffOn.prodMk
/-- The cartesian product of `C^n` functions at a point is `C^n`. -/
theorem ContDiffAt.prodMk {f : E → F} {g : E → G} (hf : ContDiffAt 𝕜 n f x)
(hg : ContDiffAt 𝕜 n g x) : ContDiffAt 𝕜 n (fun x : E => (f x, g x)) x :=
contDiffWithinAt_univ.1 <| hf.contDiffWithinAt.prodMk hg.contDiffWithinAt
@[deprecated (since := "2025-03-09")]
alias ContDiffAt.prod := ContDiffAt.prodMk
/-- The cartesian product of `C^n` functions is `C^n`. -/
theorem ContDiff.prodMk {f : E → F} {g : E → G} (hf : ContDiff 𝕜 n f) (hg : ContDiff 𝕜 n g) :
ContDiff 𝕜 n fun x : E => (f x, g x) :=
contDiffOn_univ.1 <| hf.contDiffOn.prodMk hg.contDiffOn
@[deprecated (since := "2025-03-09")]
alias ContDiff.prod := ContDiff.prodMk
end prod
section comp
/-!
### Composition of `C^n` functions
We show that the composition of `C^n` functions is `C^n`. One way to do this would be to
use the following simple inductive proof. Assume it is done for `n`.
Then, to check it for `n+1`, one needs to check that the derivative of `g ∘ f` is `C^n`, i.e.,
that `Dg(f x) ⬝ Df(x)` is `C^n`. The term `Dg (f x)` is the composition of two `C^n` functions, so
it is `C^n` by the inductive assumption. The term `Df(x)` is also `C^n`. Then, the matrix
multiplication is the application of a bilinear map (which is `C^∞`, and therefore `C^n`) to
`x ↦ (Dg(f x), Df x)`. As the composition of two `C^n` maps, it is again `C^n`, and we are done.
There are two difficulties in this proof.
The first one is that it is an induction over all Banach
spaces. In Lean, this is only possible if they belong to a fixed universe. One could formalize this
by first proving the statement in this case, and then extending the result to general universes
by embedding all the spaces we consider in a common universe through `ULift`.
The second one is that it does not work cleanly for analytic maps: for this case, we need to
exhibit a whole sequence of derivatives which are all analytic, not just finitely many of them, so
an induction is never enough at a finite step.
Both these difficulties can be overcome with some cost. However, we choose a different path: we
write down an explicit formula for the `n`-th derivative of `g ∘ f` in terms of derivatives of
`g` and `f` (this is the formula of Faa-Di Bruno) and use this formula to get a suitable Taylor
expansion for `g ∘ f`. Writing down the formula of Faa-Di Bruno is not easy as the formula is quite
intricate, but it is also useful for other purposes and once available it makes the proof here
essentially trivial.
-/
/-- The composition of `C^n` functions at points in domains is `C^n`. -/
theorem ContDiffWithinAt.comp {s : Set E} {t : Set F} {g : F → G} {f : E → F} (x : E)
(hg : ContDiffWithinAt 𝕜 n g t (f x)) (hf : ContDiffWithinAt 𝕜 n f s x) (st : MapsTo f s t) :
ContDiffWithinAt 𝕜 n (g ∘ f) s x := by
match n with
| ω =>
have h'f : ContDiffWithinAt 𝕜 ω f s x := hf
obtain ⟨u, hu, p, hp, h'p⟩ := h'f
obtain ⟨v, hv, q, hq, h'q⟩ := hg
let w := insert x s ∩ (u ∩ f ⁻¹' v)
have wv : w ⊆ f ⁻¹' v := fun y hy => hy.2.2
have wu : w ⊆ u := fun y hy => hy.2.1
refine ⟨w, ?_, fun y ↦ (q (f y)).taylorComp (p y), hq.comp (hp.mono wu) wv, ?_⟩
· apply inter_mem self_mem_nhdsWithin (inter_mem hu ?_)
apply (continuousWithinAt_insert_self.2 hf.continuousWithinAt).preimage_mem_nhdsWithin'
apply nhdsWithin_mono _ _ hv
simp only [image_insert_eq]
apply insert_subset_insert
exact image_subset_iff.mpr st
· have : AnalyticOn 𝕜 f w := by
have : AnalyticOn 𝕜 (fun y ↦ (continuousMultilinearCurryFin0 𝕜 E F).symm (f y)) w :=
((h'p 0).mono wu).congr fun y hy ↦ (hp.zero_eq' (wu hy)).symm
have : AnalyticOn 𝕜 (fun y ↦ (continuousMultilinearCurryFin0 𝕜 E F)
((continuousMultilinearCurryFin0 𝕜 E F).symm (f y))) w :=
AnalyticOnNhd.comp_analyticOn (LinearIsometryEquiv.analyticOnNhd _ _ ) this
(mapsTo_univ _ _)
simpa using this
exact analyticOn_taylorComp h'q (fun n ↦ (h'p n).mono wu) this wv
| (n : ℕ∞) =>
intro m hm
rcases hf m hm with ⟨u, hu, p, hp⟩
rcases hg m hm with ⟨v, hv, q, hq⟩
let w := insert x s ∩ (u ∩ f ⁻¹' v)
have wv : w ⊆ f ⁻¹' v := fun y hy => hy.2.2
have wu : w ⊆ u := fun y hy => hy.2.1
refine ⟨w, ?_, fun y ↦ (q (f y)).taylorComp (p y), hq.comp (hp.mono wu) wv⟩
apply inter_mem self_mem_nhdsWithin (inter_mem hu ?_)
apply (continuousWithinAt_insert_self.2 hf.continuousWithinAt).preimage_mem_nhdsWithin'
apply nhdsWithin_mono _ _ hv
simp only [image_insert_eq]
apply insert_subset_insert
exact image_subset_iff.mpr st
/-- The composition of `C^n` functions on domains is `C^n`. -/
theorem ContDiffOn.comp {s : Set E} {t : Set F} {g : F → G} {f : E → F} (hg : ContDiffOn 𝕜 n g t)
(hf : ContDiffOn 𝕜 n f s) (st : MapsTo f s t) : ContDiffOn 𝕜 n (g ∘ f) s :=
fun x hx ↦ ContDiffWithinAt.comp x (hg (f x) (st hx)) (hf x hx) st
/-- The composition of `C^n` functions on domains is `C^n`. -/
theorem ContDiffOn.comp_inter
{s : Set E} {t : Set F} {g : F → G} {f : E → F} (hg : ContDiffOn 𝕜 n g t)
(hf : ContDiffOn 𝕜 n f s) : ContDiffOn 𝕜 n (g ∘ f) (s ∩ f ⁻¹' t) :=
hg.comp (hf.mono inter_subset_left) inter_subset_right
@[deprecated (since := "2024-10-30")] alias ContDiffOn.comp' := ContDiffOn.comp_inter
/-- The composition of a `C^n` function on a domain with a `C^n` function is `C^n`. -/
theorem ContDiff.comp_contDiffOn {s : Set E} {g : F → G} {f : E → F} (hg : ContDiff 𝕜 n g)
(hf : ContDiffOn 𝕜 n f s) : ContDiffOn 𝕜 n (g ∘ f) s :=
(contDiffOn_univ.2 hg).comp hf (mapsTo_univ _ _)
theorem ContDiffOn.comp_contDiff {s : Set F} {g : F → G} {f : E → F} (hg : ContDiffOn 𝕜 n g s)
(hf : ContDiff 𝕜 n f) (hs : ∀ x, f x ∈ s) : ContDiff 𝕜 n (g ∘ f) := by
rw [← contDiffOn_univ] at *
exact hg.comp hf fun x _ => hs x
theorem ContDiffOn.image_comp_contDiff {s : Set E} {g : F → G} {f : E → F}
(hg : ContDiffOn 𝕜 n g (f '' s)) (hf : ContDiff 𝕜 n f) : ContDiffOn 𝕜 n (g ∘ f) s :=
hg.comp hf.contDiffOn (s.mapsTo_image f)
/-- The composition of `C^n` functions is `C^n`. -/
theorem ContDiff.comp {g : F → G} {f : E → F} (hg : ContDiff 𝕜 n g) (hf : ContDiff 𝕜 n f) :
ContDiff 𝕜 n (g ∘ f) :=
contDiffOn_univ.1 <| ContDiffOn.comp (contDiffOn_univ.2 hg) (contDiffOn_univ.2 hf) (subset_univ _)
/-- The composition of `C^n` functions at points in domains is `C^n`. -/
theorem ContDiffWithinAt.comp_of_eq {s : Set E} {t : Set F} {g : F → G} {f : E → F} {y : F} (x : E)
(hg : ContDiffWithinAt 𝕜 n g t y) (hf : ContDiffWithinAt 𝕜 n f s x) (st : MapsTo f s t)
(hy : f x = y) :
ContDiffWithinAt 𝕜 n (g ∘ f) s x := by
subst hy; exact hg.comp x hf st
/-- The composition of `C^n` functions at points in domains is `C^n`,
with a weaker condition on `s` and `t`. -/
theorem ContDiffWithinAt.comp_of_mem_nhdsWithin_image
{s : Set E} {t : Set F} {g : F → G} {f : E → F} (x : E)
(hg : ContDiffWithinAt 𝕜 n g t (f x)) (hf : ContDiffWithinAt 𝕜 n f s x)
(hs : t ∈ 𝓝[f '' s] f x) : ContDiffWithinAt 𝕜 n (g ∘ f) s x :=
(hg.mono_of_mem_nhdsWithin hs).comp x hf (subset_preimage_image f s)
/-- The composition of `C^n` functions at points in domains is `C^n`,
with a weaker condition on `s` and `t`. -/
theorem ContDiffWithinAt.comp_of_mem_nhdsWithin_image_of_eq
{s : Set E} {t : Set F} {g : F → G} {f : E → F} {y : F} (x : E)
(hg : ContDiffWithinAt 𝕜 n g t y) (hf : ContDiffWithinAt 𝕜 n f s x)
(hs : t ∈ 𝓝[f '' s] f x) (hy : f x = y) : ContDiffWithinAt 𝕜 n (g ∘ f) s x := by
subst hy; exact hg.comp_of_mem_nhdsWithin_image x hf hs
/-- The composition of `C^n` functions at points in domains is `C^n`. -/
theorem ContDiffWithinAt.comp_inter {s : Set E} {t : Set F} {g : F → G} {f : E → F} (x : E)
(hg : ContDiffWithinAt 𝕜 n g t (f x)) (hf : ContDiffWithinAt 𝕜 n f s x) :
ContDiffWithinAt 𝕜 n (g ∘ f) (s ∩ f ⁻¹' t) x :=
hg.comp x (hf.mono inter_subset_left) inter_subset_right
/-- The composition of `C^n` functions at points in domains is `C^n`. -/
theorem ContDiffWithinAt.comp_inter_of_eq {s : Set E} {t : Set F} {g : F → G} {f : E → F} {y : F}
(x : E) (hg : ContDiffWithinAt 𝕜 n g t y) (hf : ContDiffWithinAt 𝕜 n f s x) (hy : f x = y) :
ContDiffWithinAt 𝕜 n (g ∘ f) (s ∩ f ⁻¹' t) x := by
subst hy; exact hg.comp_inter x hf
/-- The composition of `C^n` functions at points in domains is `C^n`,
with a weaker condition on `s` and `t`. -/
theorem ContDiffWithinAt.comp_of_preimage_mem_nhdsWithin
{s : Set E} {t : Set F} {g : F → G} {f : E → F} (x : E)
(hg : ContDiffWithinAt 𝕜 n g t (f x)) (hf : ContDiffWithinAt 𝕜 n f s x)
(hs : f ⁻¹' t ∈ 𝓝[s] x) : ContDiffWithinAt 𝕜 n (g ∘ f) s x :=
(hg.comp_inter x hf).mono_of_mem_nhdsWithin (inter_mem self_mem_nhdsWithin hs)
/-- The composition of `C^n` functions at points in domains is `C^n`,
with a weaker condition on `s` and `t`. -/
theorem ContDiffWithinAt.comp_of_preimage_mem_nhdsWithin_of_eq
{s : Set E} {t : Set F} {g : F → G} {f : E → F} {y : F} (x : E)
(hg : ContDiffWithinAt 𝕜 n g t y) (hf : ContDiffWithinAt 𝕜 n f s x)
(hs : f ⁻¹' t ∈ 𝓝[s] x) (hy : f x = y) : ContDiffWithinAt 𝕜 n (g ∘ f) s x := by
subst hy; exact hg.comp_of_preimage_mem_nhdsWithin x hf hs
theorem ContDiffAt.comp_contDiffWithinAt (x : E) (hg : ContDiffAt 𝕜 n g (f x))
(hf : ContDiffWithinAt 𝕜 n f s x) : ContDiffWithinAt 𝕜 n (g ∘ f) s x :=
hg.comp x hf (mapsTo_univ _ _)
theorem ContDiffAt.comp_contDiffWithinAt_of_eq {y : F} (x : E) (hg : ContDiffAt 𝕜 n g y)
(hf : ContDiffWithinAt 𝕜 n f s x) (hy : f x = y) : ContDiffWithinAt 𝕜 n (g ∘ f) s x := by
subst hy; exact hg.comp_contDiffWithinAt x hf
/-- The composition of `C^n` functions at points is `C^n`. -/
nonrec theorem ContDiffAt.comp (x : E) (hg : ContDiffAt 𝕜 n g (f x)) (hf : ContDiffAt 𝕜 n f x) :
ContDiffAt 𝕜 n (g ∘ f) x :=
hg.comp x hf (mapsTo_univ _ _)
theorem ContDiff.comp_contDiffWithinAt {g : F → G} {f : E → F} (h : ContDiff 𝕜 n g)
(hf : ContDiffWithinAt 𝕜 n f t x) : ContDiffWithinAt 𝕜 n (g ∘ f) t x :=
haveI : ContDiffWithinAt 𝕜 n g univ (f x) := h.contDiffAt.contDiffWithinAt
this.comp x hf (subset_univ _)
theorem ContDiff.comp_contDiffAt {g : F → G} {f : E → F} (x : E) (hg : ContDiff 𝕜 n g)
(hf : ContDiffAt 𝕜 n f x) : ContDiffAt 𝕜 n (g ∘ f) x :=
hg.comp_contDiffWithinAt hf
theorem iteratedFDerivWithin_comp_of_eventually_mem {t : Set F}
(hg : ContDiffWithinAt 𝕜 n g t (f x)) (hf : ContDiffWithinAt 𝕜 n f s x)
(ht : UniqueDiffOn 𝕜 t) (hs : UniqueDiffOn 𝕜 s) (hxs : x ∈ s) (hst : ∀ᶠ y in 𝓝[s] x, f y ∈ t)
{i : ℕ} (hi : i ≤ n) :
iteratedFDerivWithin 𝕜 i (g ∘ f) s x =
(ftaylorSeriesWithin 𝕜 g t (f x)).taylorComp (ftaylorSeriesWithin 𝕜 f s x) i := by
obtain ⟨u, hxu, huo, hfu, hgu⟩ : ∃ u, x ∈ u ∧ IsOpen u ∧
HasFTaylorSeriesUpToOn i f (ftaylorSeriesWithin 𝕜 f s) (s ∩ u) ∧
HasFTaylorSeriesUpToOn i g (ftaylorSeriesWithin 𝕜 g t) (f '' (s ∩ u)) := by
have hxt : f x ∈ t := hst.self_of_nhdsWithin hxs
have hf_tendsto : Tendsto f (𝓝[s] x) (𝓝[t] (f x)) :=
tendsto_nhdsWithin_iff.mpr ⟨hf.continuousWithinAt, hst⟩
have H₁ : ∀ᶠ u in (𝓝[s] x).smallSets,
HasFTaylorSeriesUpToOn i f (ftaylorSeriesWithin 𝕜 f s) u :=
hf.eventually_hasFTaylorSeriesUpToOn hs hxs hi
have H₂ : ∀ᶠ u in (𝓝[s] x).smallSets,
HasFTaylorSeriesUpToOn i g (ftaylorSeriesWithin 𝕜 g t) (f '' u) :=
hf_tendsto.image_smallSets.eventually (hg.eventually_hasFTaylorSeriesUpToOn ht hxt hi)
rcases (nhdsWithin_basis_open _ _).smallSets.eventually_iff.mp (H₁.and H₂)
with ⟨u, ⟨hxu, huo⟩, hu⟩
exact ⟨u, hxu, huo, hu (by simp [inter_comm])⟩
exact .symm <| (hgu.comp hfu (mapsTo_image _ _)).eq_iteratedFDerivWithin_of_uniqueDiffOn le_rfl
(hs.inter huo) ⟨hxs, hxu⟩ |>.trans <| iteratedFDerivWithin_inter_open huo hxu
theorem iteratedFDerivWithin_comp {t : Set F} (hg : ContDiffWithinAt 𝕜 n g t (f x))
(hf : ContDiffWithinAt 𝕜 n f s x) (ht : UniqueDiffOn 𝕜 t) (hs : UniqueDiffOn 𝕜 s)
(hx : x ∈ s) (hst : MapsTo f s t) {i : ℕ} (hi : i ≤ n) :
iteratedFDerivWithin 𝕜 i (g ∘ f) s x =
(ftaylorSeriesWithin 𝕜 g t (f x)).taylorComp (ftaylorSeriesWithin 𝕜 f s x) i :=
iteratedFDerivWithin_comp_of_eventually_mem hg hf ht hs hx (eventually_mem_nhdsWithin.mono hst) hi
theorem iteratedFDeriv_comp (hg : ContDiffAt 𝕜 n g (f x)) (hf : ContDiffAt 𝕜 n f x)
{i : ℕ} (hi : i ≤ n) :
iteratedFDeriv 𝕜 i (g ∘ f) x =
(ftaylorSeries 𝕜 g (f x)).taylorComp (ftaylorSeries 𝕜 f x) i := by
simp only [← iteratedFDerivWithin_univ, ← ftaylorSeriesWithin_univ]
exact iteratedFDerivWithin_comp hg.contDiffWithinAt hf.contDiffWithinAt
uniqueDiffOn_univ uniqueDiffOn_univ (mem_univ _) (mapsTo_univ _ _) hi
end comp
/-!
### Smoothness of projections
-/
/-- The first projection in a product is `C^∞`. -/
theorem contDiff_fst : ContDiff 𝕜 n (Prod.fst : E × F → E) :=
IsBoundedLinearMap.contDiff IsBoundedLinearMap.fst
/-- Postcomposing `f` with `Prod.fst` is `C^n` -/
theorem ContDiff.fst {f : E → F × G} (hf : ContDiff 𝕜 n f) : ContDiff 𝕜 n fun x => (f x).1 :=
contDiff_fst.comp hf
/-- Precomposing `f` with `Prod.fst` is `C^n` -/
theorem ContDiff.fst' {f : E → G} (hf : ContDiff 𝕜 n f) : ContDiff 𝕜 n fun x : E × F => f x.1 :=
hf.comp contDiff_fst
/-- The first projection on a domain in a product is `C^∞`. -/
theorem contDiffOn_fst {s : Set (E × F)} : ContDiffOn 𝕜 n (Prod.fst : E × F → E) s :=
ContDiff.contDiffOn contDiff_fst
theorem ContDiffOn.fst {f : E → F × G} {s : Set E} (hf : ContDiffOn 𝕜 n f s) :
ContDiffOn 𝕜 n (fun x => (f x).1) s :=
contDiff_fst.comp_contDiffOn hf
/-- The first projection at a point in a product is `C^∞`. -/
theorem contDiffAt_fst {p : E × F} : ContDiffAt 𝕜 n (Prod.fst : E × F → E) p :=
contDiff_fst.contDiffAt
/-- Postcomposing `f` with `Prod.fst` is `C^n` at `(x, y)` -/
theorem ContDiffAt.fst {f : E → F × G} {x : E} (hf : ContDiffAt 𝕜 n f x) :
ContDiffAt 𝕜 n (fun x => (f x).1) x :=
contDiffAt_fst.comp x hf
/-- Precomposing `f` with `Prod.fst` is `C^n` at `(x, y)` -/
theorem ContDiffAt.fst' {f : E → G} {x : E} {y : F} (hf : ContDiffAt 𝕜 n f x) :
ContDiffAt 𝕜 n (fun x : E × F => f x.1) (x, y) :=
ContDiffAt.comp (x, y) hf contDiffAt_fst
/-- Precomposing `f` with `Prod.fst` is `C^n` at `x : E × F` -/
theorem ContDiffAt.fst'' {f : E → G} {x : E × F} (hf : ContDiffAt 𝕜 n f x.1) :
ContDiffAt 𝕜 n (fun x : E × F => f x.1) x :=
hf.comp x contDiffAt_fst
/-- The first projection within a domain at a point in a product is `C^∞`. -/
theorem contDiffWithinAt_fst {s : Set (E × F)} {p : E × F} :
ContDiffWithinAt 𝕜 n (Prod.fst : E × F → E) s p :=
contDiff_fst.contDiffWithinAt
/-- The second projection in a product is `C^∞`. -/
theorem contDiff_snd : ContDiff 𝕜 n (Prod.snd : E × F → F) :=
IsBoundedLinearMap.contDiff IsBoundedLinearMap.snd
/-- Postcomposing `f` with `Prod.snd` is `C^n` -/
theorem ContDiff.snd {f : E → F × G} (hf : ContDiff 𝕜 n f) : ContDiff 𝕜 n fun x => (f x).2 :=
contDiff_snd.comp hf
/-- Precomposing `f` with `Prod.snd` is `C^n` -/
theorem ContDiff.snd' {f : F → G} (hf : ContDiff 𝕜 n f) : ContDiff 𝕜 n fun x : E × F => f x.2 :=
hf.comp contDiff_snd
/-- The second projection on a domain in a product is `C^∞`. -/
theorem contDiffOn_snd {s : Set (E × F)} : ContDiffOn 𝕜 n (Prod.snd : E × F → F) s :=
ContDiff.contDiffOn contDiff_snd
theorem ContDiffOn.snd {f : E → F × G} {s : Set E} (hf : ContDiffOn 𝕜 n f s) :
ContDiffOn 𝕜 n (fun x => (f x).2) s :=
contDiff_snd.comp_contDiffOn hf
/-- The second projection at a point in a product is `C^∞`. -/
theorem contDiffAt_snd {p : E × F} : ContDiffAt 𝕜 n (Prod.snd : E × F → F) p :=
contDiff_snd.contDiffAt
/-- Postcomposing `f` with `Prod.snd` is `C^n` at `x` -/
theorem ContDiffAt.snd {f : E → F × G} {x : E} (hf : ContDiffAt 𝕜 n f x) :
ContDiffAt 𝕜 n (fun x => (f x).2) x :=
contDiffAt_snd.comp x hf
/-- Precomposing `f` with `Prod.snd` is `C^n` at `(x, y)` -/
theorem ContDiffAt.snd' {f : F → G} {x : E} {y : F} (hf : ContDiffAt 𝕜 n f y) :
ContDiffAt 𝕜 n (fun x : E × F => f x.2) (x, y) :=
ContDiffAt.comp (x, y) hf contDiffAt_snd
/-- Precomposing `f` with `Prod.snd` is `C^n` at `x : E × F` -/
theorem ContDiffAt.snd'' {f : F → G} {x : E × F} (hf : ContDiffAt 𝕜 n f x.2) :
ContDiffAt 𝕜 n (fun x : E × F => f x.2) x :=
hf.comp x contDiffAt_snd
/-- The second projection within a domain at a point in a product is `C^∞`. -/
theorem contDiffWithinAt_snd {s : Set (E × F)} {p : E × F} :
ContDiffWithinAt 𝕜 n (Prod.snd : E × F → F) s p :=
contDiff_snd.contDiffWithinAt
section NAry
variable {E₁ E₂ E₃ : Type*}
variable [NormedAddCommGroup E₁] [NormedAddCommGroup E₂] [NormedAddCommGroup E₃]
[NormedSpace 𝕜 E₁] [NormedSpace 𝕜 E₂] [NormedSpace 𝕜 E₃]
theorem ContDiff.comp₂ {g : E₁ × E₂ → G} {f₁ : F → E₁} {f₂ : F → E₂} (hg : ContDiff 𝕜 n g)
(hf₁ : ContDiff 𝕜 n f₁) (hf₂ : ContDiff 𝕜 n f₂) : ContDiff 𝕜 n fun x => g (f₁ x, f₂ x) :=
hg.comp <| hf₁.prodMk hf₂
theorem ContDiffAt.comp₂ {g : E₁ × E₂ → G} {f₁ : F → E₁} {f₂ : F → E₂} {x : F}
(hg : ContDiffAt 𝕜 n g (f₁ x, f₂ x))
(hf₁ : ContDiffAt 𝕜 n f₁ x) (hf₂ : ContDiffAt 𝕜 n f₂ x) :
ContDiffAt 𝕜 n (fun x => g (f₁ x, f₂ x)) x :=
hg.comp x (hf₁.prodMk hf₂)
theorem ContDiffAt.comp₂_contDiffWithinAt {g : E₁ × E₂ → G} {f₁ : F → E₁} {f₂ : F → E₂}
{s : Set F} {x : F} (hg : ContDiffAt 𝕜 n g (f₁ x, f₂ x))
(hf₁ : ContDiffWithinAt 𝕜 n f₁ s x) (hf₂ : ContDiffWithinAt 𝕜 n f₂ s x) :
ContDiffWithinAt 𝕜 n (fun x => g (f₁ x, f₂ x)) s x :=
hg.comp_contDiffWithinAt x (hf₁.prodMk hf₂)
@[deprecated (since := "2024-10-30")]
alias ContDiffAt.comp_contDiffWithinAt₂ := ContDiffAt.comp₂_contDiffWithinAt
theorem ContDiff.comp₂_contDiffAt {g : E₁ × E₂ → G} {f₁ : F → E₁} {f₂ : F → E₂} {x : F}
(hg : ContDiff 𝕜 n g) (hf₁ : ContDiffAt 𝕜 n f₁ x) (hf₂ : ContDiffAt 𝕜 n f₂ x) :
ContDiffAt 𝕜 n (fun x => g (f₁ x, f₂ x)) x :=
hg.contDiffAt.comp₂ hf₁ hf₂
@[deprecated (since := "2024-10-30")]
alias ContDiff.comp_contDiffAt₂ := ContDiff.comp₂_contDiffAt
theorem ContDiff.comp₂_contDiffWithinAt {g : E₁ × E₂ → G} {f₁ : F → E₁} {f₂ : F → E₂}
{s : Set F} {x : F} (hg : ContDiff 𝕜 n g)
(hf₁ : ContDiffWithinAt 𝕜 n f₁ s x) (hf₂ : ContDiffWithinAt 𝕜 n f₂ s x) :
ContDiffWithinAt 𝕜 n (fun x => g (f₁ x, f₂ x)) s x :=
hg.contDiffAt.comp_contDiffWithinAt x (hf₁.prodMk hf₂)
@[deprecated (since := "2024-10-30")]
alias ContDiff.comp_contDiffWithinAt₂ := ContDiff.comp₂_contDiffWithinAt
theorem ContDiff.comp₂_contDiffOn {g : E₁ × E₂ → G} {f₁ : F → E₁} {f₂ : F → E₂} {s : Set F}
(hg : ContDiff 𝕜 n g) (hf₁ : ContDiffOn 𝕜 n f₁ s) (hf₂ : ContDiffOn 𝕜 n f₂ s) :
ContDiffOn 𝕜 n (fun x => g (f₁ x, f₂ x)) s :=
hg.comp_contDiffOn <| hf₁.prodMk hf₂
@[deprecated (since := "2024-10-30")]
alias ContDiff.comp_contDiffOn₂ := ContDiff.comp₂_contDiffOn
theorem ContDiff.comp₃ {g : E₁ × E₂ × E₃ → G} {f₁ : F → E₁} {f₂ : F → E₂} {f₃ : F → E₃}
(hg : ContDiff 𝕜 n g) (hf₁ : ContDiff 𝕜 n f₁) (hf₂ : ContDiff 𝕜 n f₂) (hf₃ : ContDiff 𝕜 n f₃) :
ContDiff 𝕜 n fun x => g (f₁ x, f₂ x, f₃ x) :=
hg.comp₂ hf₁ <| hf₂.prodMk hf₃
theorem ContDiff.comp₃_contDiffOn {g : E₁ × E₂ × E₃ → G} {f₁ : F → E₁} {f₂ : F → E₂} {f₃ : F → E₃}
{s : Set F} (hg : ContDiff 𝕜 n g) (hf₁ : ContDiffOn 𝕜 n f₁ s) (hf₂ : ContDiffOn 𝕜 n f₂ s)
(hf₃ : ContDiffOn 𝕜 n f₃ s) : ContDiffOn 𝕜 n (fun x => g (f₁ x, f₂ x, f₃ x)) s :=
hg.comp₂_contDiffOn hf₁ <| hf₂.prodMk hf₃
@[deprecated (since := "2024-10-30")]
alias ContDiff.comp_contDiffOn₃ := ContDiff.comp₃_contDiffOn
end NAry
section SpecificBilinearMaps
theorem ContDiff.clm_comp {g : X → F →L[𝕜] G} {f : X → E →L[𝕜] F} (hg : ContDiff 𝕜 n g)
(hf : ContDiff 𝕜 n f) : ContDiff 𝕜 n fun x => (g x).comp (f x) :=
isBoundedBilinearMap_comp.contDiff.comp₂ (g := fun p => p.1.comp p.2) hg hf
theorem ContDiffOn.clm_comp {g : X → F →L[𝕜] G} {f : X → E →L[𝕜] F} {s : Set X}
(hg : ContDiffOn 𝕜 n g s) (hf : ContDiffOn 𝕜 n f s) :
ContDiffOn 𝕜 n (fun x => (g x).comp (f x)) s :=
(isBoundedBilinearMap_comp (E := E) (F := F) (G := G)).contDiff.comp₂_contDiffOn hg hf
theorem ContDiffAt.clm_comp {g : X → F →L[𝕜] G} {f : X → E →L[𝕜] F} {x : X}
(hg : ContDiffAt 𝕜 n g x) (hf : ContDiffAt 𝕜 n f x) :
ContDiffAt 𝕜 n (fun x => (g x).comp (f x)) x :=
(isBoundedBilinearMap_comp (E := E) (G := G)).contDiff.comp₂_contDiffAt hg hf
theorem ContDiffWithinAt.clm_comp {g : X → F →L[𝕜] G} {f : X → E →L[𝕜] F} {s : Set X} {x : X}
(hg : ContDiffWithinAt 𝕜 n g s x) (hf : ContDiffWithinAt 𝕜 n f s x) :
ContDiffWithinAt 𝕜 n (fun x => (g x).comp (f x)) s x :=
(isBoundedBilinearMap_comp (E := E) (G := G)).contDiff.comp₂_contDiffWithinAt hg hf
theorem ContDiff.clm_apply {f : E → F →L[𝕜] G} {g : E → F} (hf : ContDiff 𝕜 n f)
(hg : ContDiff 𝕜 n g) : ContDiff 𝕜 n fun x => (f x) (g x) :=
isBoundedBilinearMap_apply.contDiff.comp₂ hf hg
theorem ContDiffOn.clm_apply {f : E → F →L[𝕜] G} {g : E → F} (hf : ContDiffOn 𝕜 n f s)
(hg : ContDiffOn 𝕜 n g s) : ContDiffOn 𝕜 n (fun x => (f x) (g x)) s :=
isBoundedBilinearMap_apply.contDiff.comp₂_contDiffOn hf hg
theorem ContDiffAt.clm_apply {f : E → F →L[𝕜] G} {g : E → F} (hf : ContDiffAt 𝕜 n f x)
(hg : ContDiffAt 𝕜 n g x) : ContDiffAt 𝕜 n (fun x => (f x) (g x)) x :=
isBoundedBilinearMap_apply.contDiff.comp₂_contDiffAt hf hg
theorem ContDiffWithinAt.clm_apply {f : E → F →L[𝕜] G} {g : E → F}
(hf : ContDiffWithinAt 𝕜 n f s x) (hg : ContDiffWithinAt 𝕜 n g s x) :
ContDiffWithinAt 𝕜 n (fun x => (f x) (g x)) s x :=
isBoundedBilinearMap_apply.contDiff.comp₂_contDiffWithinAt hf hg
theorem ContDiff.smulRight {f : E → F →L[𝕜] 𝕜} {g : E → G} (hf : ContDiff 𝕜 n f)
(hg : ContDiff 𝕜 n g) : ContDiff 𝕜 n fun x => (f x).smulRight (g x) :=
isBoundedBilinearMap_smulRight.contDiff.comp₂ (g := fun p => p.1.smulRight p.2) hf hg
theorem ContDiffOn.smulRight {f : E → F →L[𝕜] 𝕜} {g : E → G} (hf : ContDiffOn 𝕜 n f s)
(hg : ContDiffOn 𝕜 n g s) : ContDiffOn 𝕜 n (fun x => (f x).smulRight (g x)) s :=
(isBoundedBilinearMap_smulRight (E := F)).contDiff.comp₂_contDiffOn hf hg
theorem ContDiffAt.smulRight {f : E → F →L[𝕜] 𝕜} {g : E → G} (hf : ContDiffAt 𝕜 n f x)
(hg : ContDiffAt 𝕜 n g x) : ContDiffAt 𝕜 n (fun x => (f x).smulRight (g x)) x :=
(isBoundedBilinearMap_smulRight (E := F)).contDiff.comp₂_contDiffAt hf hg
theorem ContDiffWithinAt.smulRight {f : E → F →L[𝕜] 𝕜} {g : E → G}
(hf : ContDiffWithinAt 𝕜 n f s x) (hg : ContDiffWithinAt 𝕜 n g s x) :
ContDiffWithinAt 𝕜 n (fun x => (f x).smulRight (g x)) s x :=
(isBoundedBilinearMap_smulRight (E := F)).contDiff.comp₂_contDiffWithinAt hf hg
end SpecificBilinearMaps
section ClmApplyConst
/-- Application of a `ContinuousLinearMap` to a constant commutes with `iteratedFDerivWithin`. -/
theorem iteratedFDerivWithin_clm_apply_const_apply
{s : Set E} (hs : UniqueDiffOn 𝕜 s) {c : E → F →L[𝕜] G}
(hc : ContDiffOn 𝕜 n c s) {i : ℕ} (hi : i ≤ n) {x : E} (hx : x ∈ s) {u : F} {m : Fin i → E} :
(iteratedFDerivWithin 𝕜 i (fun y ↦ (c y) u) s x) m = (iteratedFDerivWithin 𝕜 i c s x) m u := by
induction i generalizing x with
| zero => simp
| succ i ih =>
replace hi : (i : WithTop ℕ∞) < n := lt_of_lt_of_le (by norm_cast; simp) hi
have h_deriv_apply : DifferentiableOn 𝕜 (iteratedFDerivWithin 𝕜 i (fun y ↦ (c y) u) s) s :=
(hc.clm_apply contDiffOn_const).differentiableOn_iteratedFDerivWithin hi hs
have h_deriv : DifferentiableOn 𝕜 (iteratedFDerivWithin 𝕜 i c s) s :=
hc.differentiableOn_iteratedFDerivWithin hi hs
simp only [iteratedFDerivWithin_succ_apply_left]
rw [← fderivWithin_continuousMultilinear_apply_const_apply (hs x hx) (h_deriv_apply x hx)]
rw [fderivWithin_congr' (fun x hx ↦ ih hi.le hx) hx]
rw [fderivWithin_clm_apply (hs x hx) (h_deriv.continuousMultilinear_apply_const _ x hx)
(differentiableWithinAt_const u)]
rw [fderivWithin_const_apply]
simp only [ContinuousLinearMap.flip_apply, ContinuousLinearMap.comp_zero, zero_add]
rw [fderivWithin_continuousMultilinear_apply_const_apply (hs x hx) (h_deriv x hx)]
/-- Application of a `ContinuousLinearMap` to a constant commutes with `iteratedFDeriv`. -/
theorem iteratedFDeriv_clm_apply_const_apply
{c : E → F →L[𝕜] G} (hc : ContDiff 𝕜 n c)
{i : ℕ} (hi : i ≤ n) {x : E} {u : F} {m : Fin i → E} :
(iteratedFDeriv 𝕜 i (fun y ↦ (c y) u) x) m = (iteratedFDeriv 𝕜 i c x) m u := by
simp only [← iteratedFDerivWithin_univ]
exact iteratedFDerivWithin_clm_apply_const_apply uniqueDiffOn_univ hc.contDiffOn hi (mem_univ _)
end ClmApplyConst
/-- The natural equivalence `(E × F) × G ≃ E × (F × G)` is smooth.
Warning: if you think you need this lemma, it is likely that you can simplify your proof by
reformulating the lemma that you're applying next using the tips in
Note [continuity lemma statement]
-/
theorem contDiff_prodAssoc {n : WithTop ℕ∞} : ContDiff 𝕜 n <| Equiv.prodAssoc E F G :=
(LinearIsometryEquiv.prodAssoc 𝕜 E F G).contDiff
/-- The natural equivalence `E × (F × G) ≃ (E × F) × G` is smooth.
Warning: see remarks attached to `contDiff_prodAssoc`
-/
theorem contDiff_prodAssoc_symm {n : WithTop ℕ∞} : ContDiff 𝕜 n <| (Equiv.prodAssoc E F G).symm :=
(LinearIsometryEquiv.prodAssoc 𝕜 E F G).symm.contDiff
/-! ### Bundled derivatives are smooth -/
section bundled
/-- One direction of `contDiffWithinAt_succ_iff_hasFDerivWithinAt`, but where all derivatives are
taken within the same set. Version for partial derivatives / functions with parameters. If `f x` is
a `C^n+1` family of functions and `g x` is a `C^n` family of points, then the derivative of `f x` at
`g x` depends in a `C^n` way on `x`. We give a general version of this fact relative to sets which
may not have unique derivatives, in the following form. If `f : E × F → G` is `C^n+1` at
`(x₀, g(x₀))` in `(s ∪ {x₀}) × t ⊆ E × F` and `g : E → F` is `C^n` at `x₀` within some set `s ⊆ E`,
then there is a function `f' : E → F →L[𝕜] G` that is `C^n` at `x₀` within `s` such that for all `x`
sufficiently close to `x₀` within `s ∪ {x₀}` the function `y ↦ f x y` has derivative `f' x` at `g x`
within `t ⊆ F`. For convenience, we return an explicit set of `x`'s where this holds that is a
subset of `s ∪ {x₀}`. We need one additional condition, namely that `t` is a neighborhood of
`g(x₀)` within `g '' s`. -/
theorem ContDiffWithinAt.hasFDerivWithinAt_nhds {f : E → F → G} {g : E → F} {t : Set F} (hn : n ≠ ∞)
{x₀ : E} (hf : ContDiffWithinAt 𝕜 (n + 1) (uncurry f) (insert x₀ s ×ˢ t) (x₀, g x₀))
(hg : ContDiffWithinAt 𝕜 n g s x₀) (hgt : t ∈ 𝓝[g '' s] g x₀) :
∃ v ∈ 𝓝[insert x₀ s] x₀, v ⊆ insert x₀ s ∧ ∃ f' : E → F →L[𝕜] G,
(∀ x ∈ v, HasFDerivWithinAt (f x) (f' x) t (g x)) ∧
ContDiffWithinAt 𝕜 n (fun x => f' x) s x₀ := by
have hst : insert x₀ s ×ˢ t ∈ 𝓝[(fun x => (x, g x)) '' s] (x₀, g x₀) := by
refine nhdsWithin_mono _ ?_ (nhdsWithin_prod self_mem_nhdsWithin hgt)
simp_rw [image_subset_iff, mk_preimage_prod, preimage_id', subset_inter_iff, subset_insert,
true_and, subset_preimage_image]
obtain ⟨v, hv, hvs, f_an, f', hvf', hf'⟩ :=
(contDiffWithinAt_succ_iff_hasFDerivWithinAt' hn).mp hf
refine
⟨(fun z => (z, g z)) ⁻¹' v ∩ insert x₀ s, ?_, inter_subset_right, fun z =>
(f' (z, g z)).comp (ContinuousLinearMap.inr 𝕜 E F), ?_, ?_⟩
· refine inter_mem ?_ self_mem_nhdsWithin
have := mem_of_mem_nhdsWithin (mem_insert _ _) hv
refine mem_nhdsWithin_insert.mpr ⟨this, ?_⟩
refine (continuousWithinAt_id.prodMk hg.continuousWithinAt).preimage_mem_nhdsWithin' ?_
rw [← nhdsWithin_le_iff] at hst hv ⊢
exact (hst.trans <| nhdsWithin_mono _ <| subset_insert _ _).trans hv
· intro z hz
have := hvf' (z, g z) hz.1
refine this.comp _ (hasFDerivAt_prodMk_right _ _).hasFDerivWithinAt ?_
exact mapsTo'.mpr (image_prodMk_subset_prod_right hz.2)
· exact (hf'.continuousLinearMap_comp <| (ContinuousLinearMap.compL 𝕜 F (E × F) G).flip
(ContinuousLinearMap.inr 𝕜 E F)).comp_of_mem_nhdsWithin_image x₀
(contDiffWithinAt_id.prodMk hg) hst
/-- The most general lemma stating that `x ↦ fderivWithin 𝕜 (f x) t (g x)` is `C^n`
at a point within a set.
To show that `x ↦ D_yf(x,y)g(x)` (taken within `t`) is `C^m` at `x₀` within `s`, we require that
* `f` is `C^n` at `(x₀, g(x₀))` within `(s ∪ {x₀}) × t` for `n ≥ m+1`.
* `g` is `C^m` at `x₀` within `s`;
* Derivatives are unique at `g(x)` within `t` for `x` sufficiently close to `x₀` within `s ∪ {x₀}`;
* `t` is a neighborhood of `g(x₀)` within `g '' s`; -/
theorem ContDiffWithinAt.fderivWithin'' {f : E → F → G} {g : E → F} {t : Set F}
(hf : ContDiffWithinAt 𝕜 n (Function.uncurry f) (insert x₀ s ×ˢ t) (x₀, g x₀))
(hg : ContDiffWithinAt 𝕜 m g s x₀)
(ht : ∀ᶠ x in 𝓝[insert x₀ s] x₀, UniqueDiffWithinAt 𝕜 t (g x)) (hmn : m + 1 ≤ n)
(hgt : t ∈ 𝓝[g '' s] g x₀) :
ContDiffWithinAt 𝕜 m (fun x => fderivWithin 𝕜 (f x) t (g x)) s x₀ := by
have : ∀ k : ℕ, k ≤ m → ContDiffWithinAt 𝕜 k (fun x => fderivWithin 𝕜 (f x) t (g x)) s x₀ := by
intro k hkm
obtain ⟨v, hv, -, f', hvf', hf'⟩ :=
(hf.of_le <| (add_le_add_right hkm 1).trans hmn).hasFDerivWithinAt_nhds (by simp)
(hg.of_le hkm) hgt
refine hf'.congr_of_eventuallyEq_insert ?_
filter_upwards [hv, ht]
exact fun y hy h2y => (hvf' y hy).fderivWithin h2y
match m with
| ω =>
obtain rfl : n = ω := by simpa using hmn
obtain ⟨v, hv, -, f', hvf', hf'⟩ := hf.hasFDerivWithinAt_nhds (by simp) hg hgt
refine hf'.congr_of_eventuallyEq_insert ?_
filter_upwards [hv, ht]
exact fun y hy h2y => (hvf' y hy).fderivWithin h2y
| ∞ =>
rw [contDiffWithinAt_infty]
exact fun k ↦ this k (by exact_mod_cast le_top)
| (m : ℕ) => exact this _ le_rfl
/-- A special case of `ContDiffWithinAt.fderivWithin''` where we require that `s ⊆ g⁻¹(t)`. -/
theorem ContDiffWithinAt.fderivWithin' {f : E → F → G} {g : E → F} {t : Set F}
(hf : ContDiffWithinAt 𝕜 n (Function.uncurry f) (insert x₀ s ×ˢ t) (x₀, g x₀))
(hg : ContDiffWithinAt 𝕜 m g s x₀)
(ht : ∀ᶠ x in 𝓝[insert x₀ s] x₀, UniqueDiffWithinAt 𝕜 t (g x)) (hmn : m + 1 ≤ n)
(hst : s ⊆ g ⁻¹' t) : ContDiffWithinAt 𝕜 m (fun x => fderivWithin 𝕜 (f x) t (g x)) s x₀ :=
hf.fderivWithin'' hg ht hmn <| mem_of_superset self_mem_nhdsWithin <| image_subset_iff.mpr hst
/-- A special case of `ContDiffWithinAt.fderivWithin'` where we require that `x₀ ∈ s` and there
are unique derivatives everywhere within `t`. -/
protected theorem ContDiffWithinAt.fderivWithin {f : E → F → G} {g : E → F} {t : Set F}
(hf : ContDiffWithinAt 𝕜 n (Function.uncurry f) (s ×ˢ t) (x₀, g x₀))
(hg : ContDiffWithinAt 𝕜 m g s x₀) (ht : UniqueDiffOn 𝕜 t) (hmn : m + 1 ≤ n) (hx₀ : x₀ ∈ s)
(hst : s ⊆ g ⁻¹' t) : ContDiffWithinAt 𝕜 m (fun x => fderivWithin 𝕜 (f x) t (g x)) s x₀ := by
rw [← insert_eq_self.mpr hx₀] at hf
refine hf.fderivWithin' hg ?_ hmn hst
rw [insert_eq_self.mpr hx₀]
exact eventually_of_mem self_mem_nhdsWithin fun x hx => ht _ (hst hx)
/-- `x ↦ fderivWithin 𝕜 (f x) t (g x) (k x)` is smooth at a point within a set. -/
theorem ContDiffWithinAt.fderivWithin_apply {f : E → F → G} {g k : E → F} {t : Set F}
(hf : ContDiffWithinAt 𝕜 n (Function.uncurry f) (s ×ˢ t) (x₀, g x₀))
(hg : ContDiffWithinAt 𝕜 m g s x₀) (hk : ContDiffWithinAt 𝕜 m k s x₀) (ht : UniqueDiffOn 𝕜 t)
(hmn : m + 1 ≤ n) (hx₀ : x₀ ∈ s) (hst : s ⊆ g ⁻¹' t) :
ContDiffWithinAt 𝕜 m (fun x => fderivWithin 𝕜 (f x) t (g x) (k x)) s x₀ :=
(contDiff_fst.clm_apply contDiff_snd).contDiffAt.comp_contDiffWithinAt x₀
((hf.fderivWithin hg ht hmn hx₀ hst).prodMk hk)
/-- `fderivWithin 𝕜 f s` is smooth at `x₀` within `s`. -/
theorem ContDiffWithinAt.fderivWithin_right (hf : ContDiffWithinAt 𝕜 n f s x₀)
(hs : UniqueDiffOn 𝕜 s) (hmn : m + 1 ≤ n) (hx₀s : x₀ ∈ s) :
ContDiffWithinAt 𝕜 m (fderivWithin 𝕜 f s) s x₀ :=
ContDiffWithinAt.fderivWithin
(ContDiffWithinAt.comp (x₀, x₀) hf contDiffWithinAt_snd <| prod_subset_preimage_snd s s)
contDiffWithinAt_id hs hmn hx₀s (by rw [preimage_id'])
/-- `x ↦ fderivWithin 𝕜 f s x (k x)` is smooth at `x₀` within `s`. -/
theorem ContDiffWithinAt.fderivWithin_right_apply
{f : F → G} {k : F → F} {s : Set F} {x₀ : F}
(hf : ContDiffWithinAt 𝕜 n f s x₀) (hk : ContDiffWithinAt 𝕜 m k s x₀)
(hs : UniqueDiffOn 𝕜 s) (hmn : m + 1 ≤ n) (hx₀s : x₀ ∈ s) :
ContDiffWithinAt 𝕜 m (fun x => fderivWithin 𝕜 f s x (k x)) s x₀ :=
ContDiffWithinAt.fderivWithin_apply
(ContDiffWithinAt.comp (x₀, x₀) hf contDiffWithinAt_snd <| prod_subset_preimage_snd s s)
contDiffWithinAt_id hk hs hmn hx₀s (by rw [preimage_id'])
-- TODO: can we make a version of `ContDiffWithinAt.fderivWithin` for iterated derivatives?
theorem ContDiffWithinAt.iteratedFDerivWithin_right {i : ℕ} (hf : ContDiffWithinAt 𝕜 n f s x₀)
(hs : UniqueDiffOn 𝕜 s) (hmn : m + i ≤ n) (hx₀s : x₀ ∈ s) :
ContDiffWithinAt 𝕜 m (iteratedFDerivWithin 𝕜 i f s) s x₀ := by
induction' i with i hi generalizing m
· simp only [CharP.cast_eq_zero, add_zero] at hmn
exact (hf.of_le hmn).continuousLinearMap_comp
((continuousMultilinearCurryFin0 𝕜 E F).symm : _ →L[𝕜] E [×0]→L[𝕜] F)
· rw [Nat.cast_succ, add_comm _ 1, ← add_assoc] at hmn
exact ((hi hmn).fderivWithin_right hs le_rfl hx₀s).continuousLinearMap_comp
((continuousMultilinearCurryLeftEquiv 𝕜 (fun _ : Fin (i+1) ↦ E) F).symm :
_ →L[𝕜] E [×(i+1)]→L[𝕜] F)
@[deprecated (since := "2025-01-15")]
alias ContDiffWithinAt.iteratedFderivWithin_right := ContDiffWithinAt.iteratedFDerivWithin_right
/-- `x ↦ fderiv 𝕜 (f x) (g x)` is smooth at `x₀`. -/
protected theorem ContDiffAt.fderiv {f : E → F → G} {g : E → F}
(hf : ContDiffAt 𝕜 n (Function.uncurry f) (x₀, g x₀)) (hg : ContDiffAt 𝕜 m g x₀)
(hmn : m + 1 ≤ n) : ContDiffAt 𝕜 m (fun x => fderiv 𝕜 (f x) (g x)) x₀ := by
simp_rw [← fderivWithin_univ]
refine (ContDiffWithinAt.fderivWithin hf.contDiffWithinAt hg.contDiffWithinAt uniqueDiffOn_univ
hmn (mem_univ x₀) ?_).contDiffAt univ_mem
rw [preimage_univ]
/-- `fderiv 𝕜 f` is smooth at `x₀`. -/
theorem ContDiffAt.fderiv_right (hf : ContDiffAt 𝕜 n f x₀) (hmn : m + 1 ≤ n) :
ContDiffAt 𝕜 m (fderiv 𝕜 f) x₀ :=
ContDiffAt.fderiv (ContDiffAt.comp (x₀, x₀) hf contDiffAt_snd) contDiffAt_id hmn
theorem ContDiffAt.iteratedFDeriv_right {i : ℕ} (hf : ContDiffAt 𝕜 n f x₀)
(hmn : m + i ≤ n) : ContDiffAt 𝕜 m (iteratedFDeriv 𝕜 i f) x₀ := by
rw [← iteratedFDerivWithin_univ, ← contDiffWithinAt_univ] at *
exact hf.iteratedFDerivWithin_right uniqueDiffOn_univ hmn trivial
/-- `x ↦ fderiv 𝕜 (f x) (g x)` is smooth. -/
protected theorem ContDiff.fderiv {f : E → F → G} {g : E → F}
(hf : ContDiff 𝕜 m <| Function.uncurry f) (hg : ContDiff 𝕜 n g) (hnm : n + 1 ≤ m) :
ContDiff 𝕜 n fun x => fderiv 𝕜 (f x) (g x) :=
contDiff_iff_contDiffAt.mpr fun _ => hf.contDiffAt.fderiv hg.contDiffAt hnm
/-- `fderiv 𝕜 f` is smooth. -/
theorem ContDiff.fderiv_right (hf : ContDiff 𝕜 n f) (hmn : m + 1 ≤ n) :
ContDiff 𝕜 m (fderiv 𝕜 f) :=
contDiff_iff_contDiffAt.mpr fun _x => hf.contDiffAt.fderiv_right hmn
theorem ContDiff.iteratedFDeriv_right {i : ℕ} (hf : ContDiff 𝕜 n f)
(hmn : m + i ≤ n) : ContDiff 𝕜 m (iteratedFDeriv 𝕜 i f) :=
contDiff_iff_contDiffAt.mpr fun _x => hf.contDiffAt.iteratedFDeriv_right hmn
/-- `x ↦ fderiv 𝕜 (f x) (g x)` is continuous. -/
theorem Continuous.fderiv {f : E → F → G} {g : E → F}
(hf : ContDiff 𝕜 n <| Function.uncurry f) (hg : Continuous g) (hn : 1 ≤ n) :
Continuous fun x => fderiv 𝕜 (f x) (g x) :=
(hf.fderiv (contDiff_zero.mpr hg) hn).continuous
/-- `x ↦ fderiv 𝕜 (f x) (g x) (k x)` is smooth. -/
theorem ContDiff.fderiv_apply {f : E → F → G} {g k : E → F}
(hf : ContDiff 𝕜 m <| Function.uncurry f) (hg : ContDiff 𝕜 n g) (hk : ContDiff 𝕜 n k)
(hnm : n + 1 ≤ m) : ContDiff 𝕜 n fun x => fderiv 𝕜 (f x) (g x) (k x) :=
(hf.fderiv hg hnm).clm_apply hk
/-- The bundled derivative of a `C^{n+1}` function is `C^n`. -/
theorem contDiffOn_fderivWithin_apply {s : Set E} {f : E → F} (hf : ContDiffOn 𝕜 n f s)
(hs : UniqueDiffOn 𝕜 s) (hmn : m + 1 ≤ n) :
ContDiffOn 𝕜 m (fun p : E × E => (fderivWithin 𝕜 f s p.1 : E →L[𝕜] F) p.2) (s ×ˢ univ) :=
((hf.fderivWithin hs hmn).comp contDiffOn_fst (prod_subset_preimage_fst _ _)).clm_apply
contDiffOn_snd
/-- If a function is at least `C^1`, its bundled derivative (mapping `(x, v)` to `Df(x) v`) is
continuous. -/
theorem ContDiffOn.continuousOn_fderivWithin_apply (hf : ContDiffOn 𝕜 n f s) (hs : UniqueDiffOn 𝕜 s)
(hn : 1 ≤ n) :
ContinuousOn (fun p : E × E => (fderivWithin 𝕜 f s p.1 : E → F) p.2) (s ×ˢ univ) :=
(contDiffOn_fderivWithin_apply (m := 0) hf hs hn).continuousOn
/-- The bundled derivative of a `C^{n+1}` function is `C^n`. -/
theorem ContDiff.contDiff_fderiv_apply {f : E → F} (hf : ContDiff 𝕜 n f) (hmn : m + 1 ≤ n) :
ContDiff 𝕜 m fun p : E × E => (fderiv 𝕜 f p.1 : E →L[𝕜] F) p.2 := by
rw [← contDiffOn_univ] at hf ⊢
rw [← fderivWithin_univ, ← univ_prod_univ]
exact contDiffOn_fderivWithin_apply hf uniqueDiffOn_univ hmn
end bundled
section deriv
/-!
### One dimension
All results up to now have been expressed in terms of the general Fréchet derivative `fderiv`. For
maps defined on the field, the one-dimensional derivative `deriv` is often easier to use. In this
paragraph, we reformulate some higher smoothness results in terms of `deriv`.
-/
variable {f₂ : 𝕜 → F} {s₂ : Set 𝕜}
open ContinuousLinearMap (smulRight)
/-- A function is `C^(n + 1)` on a domain with unique derivatives if and only if it is
differentiable there, and its derivative (formulated with `derivWithin`) is `C^n`. -/
theorem contDiffOn_succ_iff_derivWithin (hs : UniqueDiffOn 𝕜 s₂) :
ContDiffOn 𝕜 (n + 1) f₂ s₂ ↔
DifferentiableOn 𝕜 f₂ s₂ ∧ (n = ω → AnalyticOn 𝕜 f₂ s₂) ∧
ContDiffOn 𝕜 n (derivWithin f₂ s₂) s₂ := by
rw [contDiffOn_succ_iff_fderivWithin hs, and_congr_right_iff]
intro _
constructor
· rintro ⟨h', h⟩
refine ⟨h', ?_⟩
have : derivWithin f₂ s₂ = (fun u : 𝕜 →L[𝕜] F => u 1) ∘ fderivWithin 𝕜 f₂ s₂ := by
ext x; rfl
simp_rw [this]
apply ContDiff.comp_contDiffOn _ h
exact (isBoundedBilinearMap_apply.isBoundedLinearMap_left _).contDiff
· rintro ⟨h', h⟩
refine ⟨h', ?_⟩
have : fderivWithin 𝕜 f₂ s₂ = smulRight (1 : 𝕜 →L[𝕜] 𝕜) ∘ derivWithin f₂ s₂ := by
ext x; simp [derivWithin]
simp only [this]
apply ContDiff.comp_contDiffOn _ h
have : IsBoundedBilinearMap 𝕜 fun _ : (𝕜 →L[𝕜] 𝕜) × F => _ := isBoundedBilinearMap_smulRight
exact (this.isBoundedLinearMap_right _).contDiff
theorem contDiffOn_infty_iff_derivWithin (hs : UniqueDiffOn 𝕜 s₂) :
ContDiffOn 𝕜 ∞ f₂ s₂ ↔ DifferentiableOn 𝕜 f₂ s₂ ∧ ContDiffOn 𝕜 ∞ (derivWithin f₂ s₂) s₂ := by
rw [show ∞ = ∞ + 1 by rfl, contDiffOn_succ_iff_derivWithin hs]
simp
@[deprecated (since := "2024-11-27")]
alias contDiffOn_top_iff_derivWithin := contDiffOn_infty_iff_derivWithin
/-- A function is `C^(n + 1)` on an open domain if and only if it is
differentiable there, and its derivative (formulated with `deriv`) is `C^n`. -/
theorem contDiffOn_succ_iff_deriv_of_isOpen (hs : IsOpen s₂) :
ContDiffOn 𝕜 (n + 1) f₂ s₂ ↔
DifferentiableOn 𝕜 f₂ s₂ ∧ (n = ω → AnalyticOn 𝕜 f₂ s₂) ∧
ContDiffOn 𝕜 n (deriv f₂) s₂ := by
rw [contDiffOn_succ_iff_derivWithin hs.uniqueDiffOn]
exact Iff.rfl.and (Iff.rfl.and (contDiffOn_congr fun _ => derivWithin_of_isOpen hs))
theorem contDiffOn_infty_iff_deriv_of_isOpen (hs : IsOpen s₂) :
ContDiffOn 𝕜 ∞ f₂ s₂ ↔ DifferentiableOn 𝕜 f₂ s₂ ∧ ContDiffOn 𝕜 ∞ (deriv f₂) s₂ := by
rw [show ∞ = ∞ + 1 by rfl, contDiffOn_succ_iff_deriv_of_isOpen hs]
simp
@[deprecated (since := "2024-11-27")]
alias contDiffOn_top_iff_deriv_of_isOpen := contDiffOn_infty_iff_deriv_of_isOpen
protected theorem ContDiffOn.derivWithin (hf : ContDiffOn 𝕜 n f₂ s₂) (hs : UniqueDiffOn 𝕜 s₂)
(hmn : m + 1 ≤ n) : ContDiffOn 𝕜 m (derivWithin f₂ s₂) s₂ :=
((contDiffOn_succ_iff_derivWithin hs).1 (hf.of_le hmn)).2.2
theorem ContDiffOn.deriv_of_isOpen (hf : ContDiffOn 𝕜 n f₂ s₂) (hs : IsOpen s₂) (hmn : m + 1 ≤ n) :
ContDiffOn 𝕜 m (deriv f₂) s₂ :=
(hf.derivWithin hs.uniqueDiffOn hmn).congr fun _ hx => (derivWithin_of_isOpen hs hx).symm
theorem ContDiffOn.continuousOn_derivWithin (h : ContDiffOn 𝕜 n f₂ s₂) (hs : UniqueDiffOn 𝕜 s₂)
(hn : 1 ≤ n) : ContinuousOn (derivWithin f₂ s₂) s₂ := by
rw [show (1 : WithTop ℕ∞) = 0 + 1 from rfl] at hn
exact ((contDiffOn_succ_iff_derivWithin hs).1 (h.of_le hn)).2.2.continuousOn
theorem ContDiffOn.continuousOn_deriv_of_isOpen (h : ContDiffOn 𝕜 n f₂ s₂) (hs : IsOpen s₂)
(hn : 1 ≤ n) : ContinuousOn (deriv f₂) s₂ := by
rw [show (1 : WithTop ℕ∞) = 0 + 1 from rfl] at hn
exact ((contDiffOn_succ_iff_deriv_of_isOpen hs).1 (h.of_le hn)).2.2.continuousOn
/-- A function is `C^(n + 1)` if and only if it is differentiable,
and its derivative (formulated in terms of `deriv`) is `C^n`. -/
theorem contDiff_succ_iff_deriv :
ContDiff 𝕜 (n + 1) f₂ ↔ Differentiable 𝕜 f₂ ∧ (n = ω → AnalyticOn 𝕜 f₂ univ) ∧
ContDiff 𝕜 n (deriv f₂) := by
simp only [← contDiffOn_univ, contDiffOn_succ_iff_deriv_of_isOpen, isOpen_univ,
differentiableOn_univ]
theorem contDiff_one_iff_deriv :
ContDiff 𝕜 1 f₂ ↔ Differentiable 𝕜 f₂ ∧ Continuous (deriv f₂) := by
rw [show (1 : WithTop ℕ∞) = 0 + 1 from rfl, contDiff_succ_iff_deriv]
simp
theorem contDiff_infty_iff_deriv :
ContDiff 𝕜 ∞ f₂ ↔ Differentiable 𝕜 f₂ ∧ ContDiff 𝕜 ∞ (deriv f₂) := by
rw [show (∞ : WithTop ℕ∞) = ∞ + 1 from rfl, contDiff_succ_iff_deriv]
simp
@[deprecated (since := "2024-11-27")] alias contDiff_top_iff_deriv := contDiff_infty_iff_deriv
theorem ContDiff.continuous_deriv (h : ContDiff 𝕜 n f₂) (hn : 1 ≤ n) : Continuous (deriv f₂) := by
rw [show (1 : WithTop ℕ∞) = 0 + 1 from rfl] at hn
exact (contDiff_succ_iff_deriv.mp (h.of_le hn)).2.2.continuous
theorem ContDiff.iterate_deriv :
∀ (n : ℕ) {f₂ : 𝕜 → F}, ContDiff 𝕜 ∞ f₂ → ContDiff 𝕜 ∞ (deriv^[n] f₂)
| 0, _, hf => hf
| n + 1, _, hf => ContDiff.iterate_deriv n (contDiff_infty_iff_deriv.mp hf).2
theorem ContDiff.iterate_deriv' (n : ℕ) :
∀ (k : ℕ) {f₂ : 𝕜 → F}, ContDiff 𝕜 (n + k : ℕ) f₂ → ContDiff 𝕜 n (deriv^[k] f₂)
| 0, _, hf => hf
| k + 1, _, hf => ContDiff.iterate_deriv' _ k (contDiff_succ_iff_deriv.mp hf).2.2
end deriv
| Mathlib/Analysis/Calculus/ContDiff/Basic.lean | 1,543 | 1,545 | |
/-
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.Ordmap.Invariants
/-!
# Verification of `Ordnode`
This file uses the invariants defined in `Mathlib.Data.Ordmap.Invariants` to construct `Ordset α`,
a wrapper around `Ordnode α` which includes the correctness invariant of the type. It exposes
parallel operations like `insert` as functions on `Ordset` that do the same thing but bundle the
correctness proofs.
The advantage is that it is possible to, for example, prove that the result of `find` on `insert`
will actually find the element, while `Ordnode` cannot guarantee this if the input tree did not
satisfy the type invariants.
## Main definitions
* `Ordnode.Valid`: The validity predicate for an `Ordnode` subtree.
* `Ordset α`: A well formed set of values of type `α`.
## Implementation notes
Because the `Ordnode` file was ported from Haskell, the correctness invariants of some
of the functions have not been spelled out, and some theorems like
`Ordnode.Valid'.balanceL_aux` show very intricate assumptions on the sizes,
which may need to be revised if it turns out some operations violate these assumptions,
because there is a decent amount of slop in the actual data structure invariants, so the
theorem will go through with multiple choices of assumption.
-/
variable {α : Type*}
namespace Ordnode
section Valid
variable [Preorder α]
/-- The validity predicate for an `Ordnode` subtree. This asserts that the `size` fields are
correct, the tree is balanced, and the elements of the tree are organized according to the
ordering. This version of `Valid` also puts all elements in the tree in the interval `(lo, hi)`. -/
structure Valid' (lo : WithBot α) (t : Ordnode α) (hi : WithTop α) : Prop where
ord : t.Bounded lo hi
sz : t.Sized
bal : t.Balanced
/-- The validity predicate for an `Ordnode` subtree. This asserts that the `size` fields are
correct, the tree is balanced, and the elements of the tree are organized according to the
ordering. -/
def Valid (t : Ordnode α) : Prop :=
Valid' ⊥ t ⊤
theorem Valid'.mono_left {x y : α} (xy : x ≤ y) {t : Ordnode α} {o} (h : Valid' y t o) :
Valid' x t o :=
⟨h.1.mono_left xy, h.2, h.3⟩
theorem Valid'.mono_right {x y : α} (xy : x ≤ y) {t : Ordnode α} {o} (h : Valid' o t x) :
Valid' o t y :=
⟨h.1.mono_right xy, h.2, h.3⟩
theorem Valid'.trans_left {t₁ t₂ : Ordnode α} {x : α} {o₁ o₂} (h : Bounded t₁ o₁ x)
(H : Valid' x t₂ o₂) : Valid' o₁ t₂ o₂ :=
⟨h.trans_left H.1, H.2, H.3⟩
theorem Valid'.trans_right {t₁ t₂ : Ordnode α} {x : α} {o₁ o₂} (H : Valid' o₁ t₁ x)
(h : Bounded t₂ x o₂) : Valid' o₁ t₁ o₂ :=
⟨H.1.trans_right h, H.2, H.3⟩
theorem Valid'.of_lt {t : Ordnode α} {x : α} {o₁ o₂} (H : Valid' o₁ t o₂) (h₁ : Bounded nil o₁ x)
(h₂ : All (· < x) t) : Valid' o₁ t x :=
⟨H.1.of_lt h₁ h₂, H.2, H.3⟩
theorem Valid'.of_gt {t : Ordnode α} {x : α} {o₁ o₂} (H : Valid' o₁ t o₂) (h₁ : Bounded nil x o₂)
(h₂ : All (· > x) t) : Valid' x t o₂ :=
⟨H.1.of_gt h₁ h₂, H.2, H.3⟩
theorem Valid'.valid {t o₁ o₂} (h : @Valid' α _ o₁ t o₂) : Valid t :=
⟨h.1.weak, h.2, h.3⟩
theorem valid'_nil {o₁ o₂} (h : Bounded nil o₁ o₂) : Valid' o₁ (@nil α) o₂ :=
⟨h, ⟨⟩, ⟨⟩⟩
theorem valid_nil : Valid (@nil α) :=
valid'_nil ⟨⟩
theorem Valid'.node {s l} {x : α} {r o₁ o₂} (hl : Valid' o₁ l x) (hr : Valid' x r o₂)
(H : BalancedSz (size l) (size r)) (hs : s = size l + size r + 1) :
Valid' o₁ (@node α s l x r) o₂ :=
⟨⟨hl.1, hr.1⟩, ⟨hs, hl.2, hr.2⟩, ⟨H, hl.3, hr.3⟩⟩
theorem Valid'.dual : ∀ {t : Ordnode α} {o₁ o₂}, Valid' o₁ t o₂ → @Valid' αᵒᵈ _ o₂ (dual t) o₁
| .nil, _, _, h => valid'_nil h.1.dual
| .node _ l _ r, _, _, ⟨⟨ol, Or⟩, ⟨rfl, sl, sr⟩, ⟨b, bl, br⟩⟩ =>
let ⟨ol', sl', bl'⟩ := Valid'.dual ⟨ol, sl, bl⟩
let ⟨or', sr', br'⟩ := Valid'.dual ⟨Or, sr, br⟩
⟨⟨or', ol'⟩, ⟨by simp [size_dual, add_comm], sr', sl'⟩,
⟨by rw [size_dual, size_dual]; exact b.symm, br', bl'⟩⟩
theorem Valid'.dual_iff {t : Ordnode α} {o₁ o₂} : Valid' o₁ t o₂ ↔ @Valid' αᵒᵈ _ o₂ (.dual t) o₁ :=
⟨Valid'.dual, fun h => by
have := Valid'.dual h; rwa [dual_dual, OrderDual.Preorder.dual_dual] at this⟩
theorem Valid.dual {t : Ordnode α} : Valid t → @Valid αᵒᵈ _ (.dual t) :=
Valid'.dual
theorem Valid.dual_iff {t : Ordnode α} : Valid t ↔ @Valid αᵒᵈ _ (.dual t) :=
Valid'.dual_iff
theorem Valid'.left {s l x r o₁ o₂} (H : Valid' o₁ (@Ordnode.node α s l x r) o₂) : Valid' o₁ l x :=
⟨H.1.1, H.2.2.1, H.3.2.1⟩
theorem Valid'.right {s l x r o₁ o₂} (H : Valid' o₁ (@Ordnode.node α s l x r) o₂) : Valid' x r o₂ :=
⟨H.1.2, H.2.2.2, H.3.2.2⟩
nonrec theorem Valid.left {s l x r} (H : Valid (@node α s l x r)) : Valid l :=
H.left.valid
nonrec theorem Valid.right {s l x r} (H : Valid (@node α s l x r)) : Valid r :=
H.right.valid
theorem Valid.size_eq {s l x r} (H : Valid (@node α s l x r)) :
size (@node α s l x r) = size l + size r + 1 :=
H.2.1
theorem Valid'.node' {l} {x : α} {r o₁ o₂} (hl : Valid' o₁ l x) (hr : Valid' x r o₂)
(H : BalancedSz (size l) (size r)) : Valid' o₁ (@node' α l x r) o₂ :=
hl.node hr H rfl
theorem valid'_singleton {x : α} {o₁ o₂} (h₁ : Bounded nil o₁ x) (h₂ : Bounded nil x o₂) :
Valid' o₁ (singleton x : Ordnode α) o₂ :=
(valid'_nil h₁).node (valid'_nil h₂) (Or.inl zero_le_one) rfl
theorem valid_singleton {x : α} : Valid (singleton x : Ordnode α) :=
valid'_singleton ⟨⟩ ⟨⟩
theorem Valid'.node3L {l} {x : α} {m} {y : α} {r o₁ o₂} (hl : Valid' o₁ l x) (hm : Valid' x m y)
(hr : Valid' y r o₂) (H1 : BalancedSz (size l) (size m))
(H2 : BalancedSz (size l + size m + 1) (size r)) : Valid' o₁ (@node3L α l x m y r) o₂ :=
(hl.node' hm H1).node' hr H2
theorem Valid'.node3R {l} {x : α} {m} {y : α} {r o₁ o₂} (hl : Valid' o₁ l x) (hm : Valid' x m y)
(hr : Valid' y r o₂) (H1 : BalancedSz (size l) (size m + size r + 1))
(H2 : BalancedSz (size m) (size r)) : Valid' o₁ (@node3R α l x m y r) o₂ :=
hl.node' (hm.node' hr H2) H1
| theorem Valid'.node4L_lemma₁ {a b c d : ℕ} (lr₂ : 3 * (b + c + 1 + d) ≤ 16 * a + 9)
(mr₂ : b + c + 1 ≤ 3 * d) (mm₁ : b ≤ 3 * c) : b < 3 * a + 1 := by omega
| Mathlib/Data/Ordmap/Ordset.lean | 151 | 153 |
/-
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}
lemma Ico_filter_modEq_eq (v : ℤ) :
{x ∈ Ico a b | x ≡ v [ZMOD r]} =
{x ∈ Ico (a - v) (b - v) | r ∣ x}.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) :
{x ∈ Ioc a b | x ≡ v [ZMOD r]} =
{x ∈ Ioc (a - v) (b - v) | r ∣ x}.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]
| variable (hr : 0 < r)
include hr
| Mathlib/Data/Int/CardIntervalMod.lean | 42 | 44 |
/-
Copyright (c) 2017 Robert Y. Lewis. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Robert Y. Lewis, Keeley Hoek
-/
import Mathlib.Algebra.NeZero
import Mathlib.Data.Int.DivMod
import Mathlib.Logic.Embedding.Basic
import Mathlib.Logic.Equiv.Set
import Mathlib.Tactic.Common
import Mathlib.Tactic.Attr.Register
/-!
# The finite type with `n` elements
`Fin n` is the type whose elements are natural numbers smaller than `n`.
This file expands on the development in the core library.
## Main definitions
### Induction principles
* `finZeroElim` : Elimination principle for the empty set `Fin 0`, generalizes `Fin.elim0`.
Further definitions and eliminators can be found in `Init.Data.Fin.Lemmas`
### Embeddings and isomorphisms
* `Fin.valEmbedding` : coercion to natural numbers as an `Embedding`;
* `Fin.succEmb` : `Fin.succ` as an `Embedding`;
* `Fin.castLEEmb h` : `Fin.castLE` as an `Embedding`, embed `Fin n` into `Fin m`, `h : n ≤ m`;
* `finCongr` : `Fin.cast` as an `Equiv`, equivalence between `Fin n` and `Fin m` when `n = m`;
* `Fin.castAddEmb m` : `Fin.castAdd` as an `Embedding`, embed `Fin n` into `Fin (n+m)`;
* `Fin.castSuccEmb` : `Fin.castSucc` as an `Embedding`, embed `Fin n` into `Fin (n+1)`;
* `Fin.addNatEmb m i` : `Fin.addNat` as an `Embedding`, add `m` on `i` on the right,
generalizes `Fin.succ`;
* `Fin.natAddEmb n i` : `Fin.natAdd` as an `Embedding`, adds `n` on `i` on the left;
### Other casts
* `Fin.divNat i` : divides `i : Fin (m * n)` by `n`;
* `Fin.modNat i` : takes the mod of `i : Fin (m * n)` by `n`;
-/
assert_not_exists Monoid Finset
open Fin Nat Function
attribute [simp] Fin.succ_ne_zero Fin.castSucc_lt_last
/-- Elimination principle for the empty set `Fin 0`, dependent version. -/
def finZeroElim {α : Fin 0 → Sort*} (x : Fin 0) : α x :=
x.elim0
namespace Fin
@[simp] theorem mk_eq_one {n a : Nat} {ha : a < n + 2} :
(⟨a, ha⟩ : Fin (n + 2)) = 1 ↔ a = 1 :=
mk.inj_iff
@[simp] theorem one_eq_mk {n a : Nat} {ha : a < n + 2} :
1 = (⟨a, ha⟩ : Fin (n + 2)) ↔ a = 1 := by
simp [eq_comm]
instance {n : ℕ} : CanLift ℕ (Fin n) Fin.val (· < n) where
prf k hk := ⟨⟨k, hk⟩, rfl⟩
/-- A dependent variant of `Fin.elim0`. -/
def rec0 {α : Fin 0 → Sort*} (i : Fin 0) : α i := absurd i.2 (Nat.not_lt_zero _)
variable {n m : ℕ}
--variable {a b : Fin n} -- this *really* breaks stuff
theorem val_injective : Function.Injective (@Fin.val n) :=
@Fin.eq_of_val_eq n
/-- If you actually have an element of `Fin n`, then the `n` is always positive -/
lemma size_positive : Fin n → 0 < n := Fin.pos
lemma size_positive' [Nonempty (Fin n)] : 0 < n :=
‹Nonempty (Fin n)›.elim Fin.pos
protected theorem prop (a : Fin n) : a.val < n :=
a.2
lemma lt_last_iff_ne_last {a : Fin (n + 1)} : a < last n ↔ a ≠ last n := by
simp [Fin.lt_iff_le_and_ne, le_last]
lemma ne_zero_of_lt {a b : Fin (n + 1)} (hab : a < b) : b ≠ 0 :=
Fin.ne_of_gt <| Fin.lt_of_le_of_lt a.zero_le hab
lemma ne_last_of_lt {a b : Fin (n + 1)} (hab : a < b) : a ≠ last n :=
Fin.ne_of_lt <| Fin.lt_of_lt_of_le hab b.le_last
/-- Equivalence between `Fin n` and `{ i // i < n }`. -/
@[simps apply symm_apply]
def equivSubtype : Fin n ≃ { i // i < n } where
toFun a := ⟨a.1, a.2⟩
invFun a := ⟨a.1, a.2⟩
left_inv := fun ⟨_, _⟩ => rfl
right_inv := fun ⟨_, _⟩ => rfl
section coe
/-!
### coercions and constructions
-/
theorem val_eq_val (a b : Fin n) : (a : ℕ) = b ↔ a = b :=
Fin.ext_iff.symm
theorem ne_iff_vne (a b : Fin n) : a ≠ b ↔ a.1 ≠ b.1 :=
Fin.ext_iff.not
theorem mk_eq_mk {a h a' h'} : @mk n a h = @mk n a' h' ↔ a = a' :=
Fin.ext_iff
-- syntactic tautologies now
/-- Assume `k = l`. If two functions defined on `Fin k` and `Fin l` are equal on each element,
then they coincide (in the heq sense). -/
protected theorem heq_fun_iff {α : Sort*} {k l : ℕ} (h : k = l) {f : Fin k → α} {g : Fin l → α} :
HEq f g ↔ ∀ i : Fin k, f i = g ⟨(i : ℕ), h ▸ i.2⟩ := by
subst h
simp [funext_iff]
/-- Assume `k = l` and `k' = l'`.
If two functions `Fin k → Fin k' → α` and `Fin l → Fin l' → α` are equal on each pair,
then they coincide (in the heq sense). -/
protected theorem heq_fun₂_iff {α : Sort*} {k l k' l' : ℕ} (h : k = l) (h' : k' = l')
{f : Fin k → Fin k' → α} {g : Fin l → Fin l' → α} :
HEq f g ↔ ∀ (i : Fin k) (j : Fin k'), f i j = g ⟨(i : ℕ), h ▸ i.2⟩ ⟨(j : ℕ), h' ▸ j.2⟩ := by
subst h
subst h'
simp [funext_iff]
/-- Two elements of `Fin k` and `Fin l` are heq iff their values in `ℕ` coincide. This requires
`k = l`. For the left implication without this assumption, see `val_eq_val_of_heq`. -/
protected theorem heq_ext_iff {k l : ℕ} (h : k = l) {i : Fin k} {j : Fin l} :
HEq i j ↔ (i : ℕ) = (j : ℕ) := by
subst h
simp [val_eq_val]
end coe
section Order
/-!
### order
-/
theorem le_iff_val_le_val {a b : Fin n} : a ≤ b ↔ (a : ℕ) ≤ b :=
Iff.rfl
/-- `a < b` as natural numbers if and only if `a < b` in `Fin n`. -/
@[norm_cast, simp]
theorem val_fin_lt {n : ℕ} {a b : Fin n} : (a : ℕ) < (b : ℕ) ↔ a < b :=
Iff.rfl
/-- `a ≤ b` as natural numbers if and only if `a ≤ b` in `Fin n`. -/
@[norm_cast, simp]
theorem val_fin_le {n : ℕ} {a b : Fin n} : (a : ℕ) ≤ (b : ℕ) ↔ a ≤ b :=
Iff.rfl
theorem min_val {a : Fin n} : min (a : ℕ) n = a := by simp
theorem max_val {a : Fin n} : max (a : ℕ) n = n := by simp
/-- The inclusion map `Fin n → ℕ` is an embedding. -/
@[simps -fullyApplied apply]
def valEmbedding : Fin n ↪ ℕ :=
⟨val, val_injective⟩
@[simp]
theorem equivSubtype_symm_trans_valEmbedding :
equivSubtype.symm.toEmbedding.trans valEmbedding = Embedding.subtype (· < n) :=
rfl
/-- Use the ordering on `Fin n` for checking recursive definitions.
For example, the following definition is not accepted by the termination checker,
unless we declare the `WellFoundedRelation` instance:
```lean
def factorial {n : ℕ} : Fin n → ℕ
| ⟨0, _⟩ := 1
| ⟨i + 1, hi⟩ := (i + 1) * factorial ⟨i, i.lt_succ_self.trans hi⟩
```
-/
instance {n : ℕ} : WellFoundedRelation (Fin n) :=
measure (val : Fin n → ℕ)
@[deprecated (since := "2025-02-24")]
alias val_zero' := val_zero
/-- `Fin.mk_zero` in `Lean` only applies in `Fin (n + 1)`.
This one instead uses a `NeZero n` typeclass hypothesis.
-/
@[simp]
theorem mk_zero' (n : ℕ) [NeZero n] : (⟨0, pos_of_neZero n⟩ : Fin n) = 0 := rfl
/--
The `Fin.zero_le` in `Lean` only applies in `Fin (n+1)`.
This one instead uses a `NeZero n` typeclass hypothesis.
-/
@[simp]
protected theorem zero_le' [NeZero n] (a : Fin n) : 0 ≤ a :=
Nat.zero_le a.val
@[simp, norm_cast]
theorem val_eq_zero_iff [NeZero n] {a : Fin n} : a.val = 0 ↔ a = 0 := by
rw [Fin.ext_iff, val_zero]
theorem val_ne_zero_iff [NeZero n] {a : Fin n} : a.val ≠ 0 ↔ a ≠ 0 :=
val_eq_zero_iff.not
@[simp, norm_cast]
theorem val_pos_iff [NeZero n] {a : Fin n} : 0 < a.val ↔ 0 < a := by
rw [← val_fin_lt, val_zero]
/--
The `Fin.pos_iff_ne_zero` in `Lean` only applies in `Fin (n+1)`.
This one instead uses a `NeZero n` typeclass hypothesis.
-/
theorem pos_iff_ne_zero' [NeZero n] (a : Fin n) : 0 < a ↔ a ≠ 0 := by
rw [← val_pos_iff, Nat.pos_iff_ne_zero, val_ne_zero_iff]
@[simp] lemma cast_eq_self (a : Fin n) : a.cast rfl = a := rfl
@[simp] theorem cast_eq_zero {k l : ℕ} [NeZero k] [NeZero l]
(h : k = l) (x : Fin k) : Fin.cast h x = 0 ↔ x = 0 := by
simp [← val_eq_zero_iff]
lemma cast_injective {k l : ℕ} (h : k = l) : Injective (Fin.cast h) :=
fun a b hab ↦ by simpa [← val_eq_val] using hab
theorem last_pos' [NeZero n] : 0 < last n := n.pos_of_neZero
theorem one_lt_last [NeZero n] : 1 < last (n + 1) := by
rw [lt_iff_val_lt_val, val_one, val_last, Nat.lt_add_left_iff_pos, Nat.pos_iff_ne_zero]
exact NeZero.ne n
end Order
/-! ### Coercions to `ℤ` and the `fin_omega` tactic. -/
open Int
theorem coe_int_sub_eq_ite {n : Nat} (u v : Fin n) :
((u - v : Fin n) : Int) = if v ≤ u then (u - v : Int) else (u - v : Int) + n := by
rw [Fin.sub_def]
split
· rw [natCast_emod, Int.emod_eq_sub_self_emod, Int.emod_eq_of_lt] <;> omega
· rw [natCast_emod, Int.emod_eq_of_lt] <;> omega
theorem coe_int_sub_eq_mod {n : Nat} (u v : Fin n) :
((u - v : Fin n) : Int) = ((u : Int) - (v : Int)) % n := by
rw [coe_int_sub_eq_ite]
split
· rw [Int.emod_eq_of_lt] <;> omega
· rw [Int.emod_eq_add_self_emod, Int.emod_eq_of_lt] <;> omega
theorem coe_int_add_eq_ite {n : Nat} (u v : Fin n) :
((u + v : Fin n) : Int) = if (u + v : ℕ) < n then (u + v : Int) else (u + v : Int) - n := by
rw [Fin.add_def]
split
· rw [natCast_emod, Int.emod_eq_of_lt] <;> omega
· rw [natCast_emod, Int.emod_eq_sub_self_emod, Int.emod_eq_of_lt] <;> omega
theorem coe_int_add_eq_mod {n : Nat} (u v : Fin n) :
((u + v : Fin n) : Int) = ((u : Int) + (v : Int)) % n := by
rw [coe_int_add_eq_ite]
split
· rw [Int.emod_eq_of_lt] <;> omega
· rw [Int.emod_eq_sub_self_emod, Int.emod_eq_of_lt] <;> omega
-- Write `a + b` as `if (a + b : ℕ) < n then (a + b : ℤ) else (a + b : ℤ) - n` and
-- similarly `a - b` as `if (b : ℕ) ≤ a then (a - b : ℤ) else (a - b : ℤ) + n`.
attribute [fin_omega] coe_int_sub_eq_ite coe_int_add_eq_ite
-- Rewrite inequalities in `Fin` to inequalities in `ℕ`
attribute [fin_omega] Fin.lt_iff_val_lt_val Fin.le_iff_val_le_val
-- Rewrite `1 : Fin (n + 2)` to `1 : ℤ`
attribute [fin_omega] val_one
/--
Preprocessor for `omega` to handle inequalities in `Fin`.
Note that this involves a lot of case splitting, so may be slow.
-/
-- Further adjustment to the simp set can probably make this more powerful.
-- Please experiment and PR updates!
macro "fin_omega" : tactic => `(tactic|
{ try simp only [fin_omega, ← Int.ofNat_lt, ← Int.ofNat_le] at *
omega })
section Add
/-!
### addition, numerals, and coercion from Nat
-/
@[simp]
theorem val_one' (n : ℕ) [NeZero n] : ((1 : Fin n) : ℕ) = 1 % n :=
rfl
@[deprecated val_one' (since := "2025-03-10")]
theorem val_one'' {n : ℕ} : ((1 : Fin (n + 1)) : ℕ) = 1 % (n + 1) :=
rfl
instance nontrivial {n : ℕ} : Nontrivial (Fin (n + 2)) where
exists_pair_ne := ⟨0, 1, (ne_iff_vne 0 1).mpr (by simp [val_one, val_zero])⟩
theorem nontrivial_iff_two_le : Nontrivial (Fin n) ↔ 2 ≤ n := by
rcases n with (_ | _ | n) <;>
simp [Fin.nontrivial, not_nontrivial, Nat.succ_le_iff]
section Monoid
instance inhabitedFinOneAdd (n : ℕ) : Inhabited (Fin (1 + n)) :=
haveI : NeZero (1 + n) := by rw [Nat.add_comm]; infer_instance
inferInstance
@[simp]
theorem default_eq_zero (n : ℕ) [NeZero n] : (default : Fin n) = 0 :=
rfl
instance instNatCast [NeZero n] : NatCast (Fin n) where
natCast i := Fin.ofNat' n i
lemma natCast_def [NeZero n] (a : ℕ) : (a : Fin n) = ⟨a % n, mod_lt _ n.pos_of_neZero⟩ := rfl
end Monoid
theorem val_add_eq_ite {n : ℕ} (a b : Fin n) :
(↑(a + b) : ℕ) = if n ≤ a + b then a + b - n else a + b := by
rw [Fin.val_add, Nat.add_mod_eq_ite, Nat.mod_eq_of_lt (show ↑a < n from a.2),
Nat.mod_eq_of_lt (show ↑b < n from b.2)]
theorem val_add_eq_of_add_lt {n : ℕ} {a b : Fin n} (huv : a.val + b.val < n) :
(a + b).val = a.val + b.val := by
rw [val_add]
simp [Nat.mod_eq_of_lt huv]
lemma intCast_val_sub_eq_sub_add_ite {n : ℕ} (a b : Fin n) :
((a - b).val : ℤ) = a.val - b.val + if b ≤ a then 0 else n := by
split <;> fin_omega
lemma one_le_of_ne_zero {n : ℕ} [NeZero n] {k : Fin n} (hk : k ≠ 0) : 1 ≤ k := by
obtain ⟨n, rfl⟩ := Nat.exists_eq_succ_of_ne_zero (NeZero.ne n)
cases n with
| zero => simp only [Nat.reduceAdd, Fin.isValue, Fin.zero_le]
| succ n => rwa [Fin.le_iff_val_le_val, Fin.val_one, Nat.one_le_iff_ne_zero, val_ne_zero_iff]
lemma val_sub_one_of_ne_zero [NeZero n] {i : Fin n} (hi : i ≠ 0) : (i - 1).val = i - 1 := by
obtain ⟨n, rfl⟩ := Nat.exists_eq_succ_of_ne_zero (NeZero.ne n)
rw [Fin.sub_val_of_le (one_le_of_ne_zero hi), Fin.val_one', Nat.mod_eq_of_lt
(Nat.succ_le_iff.mpr (nontrivial_iff_two_le.mp <| nontrivial_of_ne i 0 hi))]
section OfNatCoe
@[simp]
theorem ofNat'_eq_cast (n : ℕ) [NeZero n] (a : ℕ) : Fin.ofNat' n a = a :=
rfl
@[simp] lemma val_natCast (a n : ℕ) [NeZero n] : (a : Fin n).val = a % n := rfl
/-- Converting an in-range number to `Fin (n + 1)` produces a result
whose value is the original number. -/
theorem val_cast_of_lt {n : ℕ} [NeZero n] {a : ℕ} (h : a < n) : (a : Fin n).val = a :=
Nat.mod_eq_of_lt h
/-- If `n` is non-zero, converting the value of a `Fin n` to `Fin n` results
in the same value. -/
@[simp, norm_cast] theorem cast_val_eq_self {n : ℕ} [NeZero n] (a : Fin n) : (a.val : Fin n) = a :=
Fin.ext <| val_cast_of_lt a.isLt
-- This is a special case of `CharP.cast_eq_zero` that doesn't require typeclass search
@[simp high] lemma natCast_self (n : ℕ) [NeZero n] : (n : Fin n) = 0 := by ext; simp
@[simp] lemma natCast_eq_zero {a n : ℕ} [NeZero n] : (a : Fin n) = 0 ↔ n ∣ a := by
simp [Fin.ext_iff, Nat.dvd_iff_mod_eq_zero]
@[simp]
theorem natCast_eq_last (n) : (n : Fin (n + 1)) = Fin.last n := by ext; simp
theorem le_val_last (i : Fin (n + 1)) : i ≤ n := by
rw [Fin.natCast_eq_last]
exact Fin.le_last i
variable {a b : ℕ}
lemma natCast_le_natCast (han : a ≤ n) (hbn : b ≤ n) : (a : Fin (n + 1)) ≤ b ↔ a ≤ b := by
rw [← Nat.lt_succ_iff] at han hbn
simp [le_iff_val_le_val, -val_fin_le, Nat.mod_eq_of_lt, han, hbn]
lemma natCast_lt_natCast (han : a ≤ n) (hbn : b ≤ n) : (a : Fin (n + 1)) < b ↔ a < b := by
rw [← Nat.lt_succ_iff] at han hbn; simp [lt_iff_val_lt_val, Nat.mod_eq_of_lt, han, hbn]
lemma natCast_mono (hbn : b ≤ n) (hab : a ≤ b) : (a : Fin (n + 1)) ≤ b :=
(natCast_le_natCast (hab.trans hbn) hbn).2 hab
lemma natCast_strictMono (hbn : b ≤ n) (hab : a < b) : (a : Fin (n + 1)) < b :=
(natCast_lt_natCast (hab.le.trans hbn) hbn).2 hab
end OfNatCoe
end Add
section Succ
/-!
### succ and casts into larger Fin types
-/
lemma succ_injective (n : ℕ) : Injective (@Fin.succ n) := fun a b ↦ by simp [Fin.ext_iff]
/-- `Fin.succ` as an `Embedding` -/
def succEmb (n : ℕ) : Fin n ↪ Fin (n + 1) where
toFun := succ
inj' := succ_injective _
@[simp]
theorem coe_succEmb : ⇑(succEmb n) = Fin.succ :=
rfl
@[deprecated (since := "2025-04-12")]
alias val_succEmb := coe_succEmb
@[simp]
theorem exists_succ_eq {x : Fin (n + 1)} : (∃ y, Fin.succ y = x) ↔ x ≠ 0 :=
⟨fun ⟨_, hy⟩ => hy ▸ succ_ne_zero _, x.cases (fun h => h.irrefl.elim) (fun _ _ => ⟨_, rfl⟩)⟩
theorem exists_succ_eq_of_ne_zero {x : Fin (n + 1)} (h : x ≠ 0) :
∃ y, Fin.succ y = x := exists_succ_eq.mpr h
@[simp]
theorem succ_zero_eq_one' [NeZero n] : Fin.succ (0 : Fin n) = 1 := by
cases n
· exact (NeZero.ne 0 rfl).elim
· rfl
theorem one_pos' [NeZero n] : (0 : Fin (n + 1)) < 1 := succ_zero_eq_one' (n := n) ▸ succ_pos _
theorem zero_ne_one' [NeZero n] : (0 : Fin (n + 1)) ≠ 1 := Fin.ne_of_lt one_pos'
/--
The `Fin.succ_one_eq_two` in `Lean` only applies in `Fin (n+2)`.
This one instead uses a `NeZero n` typeclass hypothesis.
-/
@[simp]
theorem succ_one_eq_two' [NeZero n] : Fin.succ (1 : Fin (n + 1)) = 2 := by
cases n
· exact (NeZero.ne 0 rfl).elim
· rfl
-- Version of `succ_one_eq_two` to be used by `dsimp`.
-- Note the `'` swapped around due to a move to std4.
/--
The `Fin.le_zero_iff` in `Lean` only applies in `Fin (n+1)`.
This one instead uses a `NeZero n` typeclass hypothesis.
-/
@[simp]
theorem le_zero_iff' {n : ℕ} [NeZero n] {k : Fin n} : k ≤ 0 ↔ k = 0 :=
⟨fun h => Fin.ext <| by rw [Nat.eq_zero_of_le_zero h]; rfl, by rintro rfl; exact Nat.le_refl _⟩
-- TODO: Move to Batteries
@[simp] lemma castLE_inj {hmn : m ≤ n} {a b : Fin m} : castLE hmn a = castLE hmn b ↔ a = b := by
simp [Fin.ext_iff]
@[simp] lemma castAdd_inj {a b : Fin m} : castAdd n a = castAdd n b ↔ a = b := by simp [Fin.ext_iff]
attribute [simp] castSucc_inj
lemma castLE_injective (hmn : m ≤ n) : Injective (castLE hmn) :=
fun _ _ hab ↦ Fin.ext (congr_arg val hab :)
lemma castAdd_injective (m n : ℕ) : Injective (@Fin.castAdd m n) := castLE_injective _
lemma castSucc_injective (n : ℕ) : Injective (@Fin.castSucc n) := castAdd_injective _ _
/-- `Fin.castLE` as an `Embedding`, `castLEEmb h i` embeds `i` into a larger `Fin` type. -/
@[simps apply]
def castLEEmb (h : n ≤ m) : Fin n ↪ Fin m where
toFun := castLE h
inj' := castLE_injective _
@[simp, norm_cast] lemma coe_castLEEmb {m n} (hmn : m ≤ n) : castLEEmb hmn = castLE hmn := rfl
/- The next proof can be golfed a lot using `Fintype.card`.
It is written this way to define `ENat.card` and `Nat.card` without a `Fintype` dependency
(not done yet). -/
lemma nonempty_embedding_iff : Nonempty (Fin n ↪ Fin m) ↔ n ≤ m := by
refine ⟨fun h ↦ ?_, fun h ↦ ⟨castLEEmb h⟩⟩
induction n generalizing m with
| zero => exact m.zero_le
| succ n ihn =>
obtain ⟨e⟩ := h
rcases exists_eq_succ_of_ne_zero (pos_iff_nonempty.2 (Nonempty.map e inferInstance)).ne'
with ⟨m, rfl⟩
refine Nat.succ_le_succ <| ihn ⟨?_⟩
refine ⟨fun i ↦ (e.setValue 0 0 i.succ).pred (mt e.setValue_eq_iff.1 i.succ_ne_zero),
fun i j h ↦ ?_⟩
simpa only [pred_inj, EmbeddingLike.apply_eq_iff_eq, succ_inj] using h
lemma equiv_iff_eq : Nonempty (Fin m ≃ Fin n) ↔ m = n :=
⟨fun ⟨e⟩ ↦ le_antisymm (nonempty_embedding_iff.1 ⟨e⟩) (nonempty_embedding_iff.1 ⟨e.symm⟩),
fun h ↦ h ▸ ⟨.refl _⟩⟩
@[simp] lemma castLE_castSucc {n m} (i : Fin n) (h : n + 1 ≤ m) :
i.castSucc.castLE h = i.castLE (Nat.le_of_succ_le h) :=
rfl
@[simp] lemma castLE_comp_castSucc {n m} (h : n + 1 ≤ m) :
Fin.castLE h ∘ Fin.castSucc = Fin.castLE (Nat.le_of_succ_le h) :=
rfl
@[simp] lemma castLE_rfl (n : ℕ) : Fin.castLE (le_refl n) = id :=
rfl
@[simp]
theorem range_castLE {n k : ℕ} (h : n ≤ k) : Set.range (castLE h) = { i : Fin k | (i : ℕ) < n } :=
Set.ext fun x => ⟨fun ⟨y, hy⟩ => hy ▸ y.2, fun hx => ⟨⟨x, hx⟩, rfl⟩⟩
@[simp]
theorem coe_of_injective_castLE_symm {n k : ℕ} (h : n ≤ k) (i : Fin k) (hi) :
((Equiv.ofInjective _ (castLE_injective h)).symm ⟨i, hi⟩ : ℕ) = i := by
rw [← coe_castLE h]
exact congr_arg Fin.val (Equiv.apply_ofInjective_symm _ _)
theorem leftInverse_cast (eq : n = m) : LeftInverse (Fin.cast eq.symm) (Fin.cast eq) :=
fun _ => rfl
theorem rightInverse_cast (eq : n = m) : RightInverse (Fin.cast eq.symm) (Fin.cast eq) :=
fun _ => rfl
@[simp]
theorem cast_inj (eq : n = m) {a b : Fin n} : a.cast eq = b.cast eq ↔ a = b := by
simp [← val_inj]
@[simp]
theorem cast_lt_cast (eq : n = m) {a b : Fin n} : a.cast eq < b.cast eq ↔ a < b :=
Iff.rfl
@[simp]
theorem cast_le_cast (eq : n = m) {a b : Fin n} : a.cast eq ≤ b.cast eq ↔ a ≤ b :=
Iff.rfl
/-- The 'identity' equivalence between `Fin m` and `Fin n` when `m = n`. -/
@[simps]
def _root_.finCongr (eq : n = m) : Fin n ≃ Fin m where
toFun := Fin.cast eq
invFun := Fin.cast eq.symm
left_inv := leftInverse_cast eq
right_inv := rightInverse_cast eq
@[simp] lemma _root_.finCongr_apply_mk (h : m = n) (k : ℕ) (hk : k < m) :
finCongr h ⟨k, hk⟩ = ⟨k, h ▸ hk⟩ := rfl
@[simp]
lemma _root_.finCongr_refl (h : n = n := rfl) : finCongr h = Equiv.refl (Fin n) := by ext; simp
@[simp] lemma _root_.finCongr_symm (h : m = n) : (finCongr h).symm = finCongr h.symm := rfl
@[simp] lemma _root_.finCongr_apply_coe (h : m = n) (k : Fin m) : (finCongr h k : ℕ) = k := rfl
lemma _root_.finCongr_symm_apply_coe (h : m = n) (k : Fin n) : ((finCongr h).symm k : ℕ) = k := rfl
/-- While in many cases `finCongr` is better than `Equiv.cast`/`cast`, sometimes we want to apply
a generic theorem about `cast`. -/
lemma _root_.finCongr_eq_equivCast (h : n = m) : finCongr h = .cast (h ▸ rfl) := by subst h; simp
/-- While in many cases `Fin.cast` is better than `Equiv.cast`/`cast`, sometimes we want to apply
a generic theorem about `cast`. -/
theorem cast_eq_cast (h : n = m) : (Fin.cast h : Fin n → Fin m) = _root_.cast (h ▸ rfl) := by
subst h
ext
rfl
/-- `Fin.castAdd` as an `Embedding`, `castAddEmb m i` embeds `i : Fin n` in `Fin (n+m)`.
See also `Fin.natAddEmb` and `Fin.addNatEmb`. -/
def castAddEmb (m) : Fin n ↪ Fin (n + m) := castLEEmb (le_add_right n m)
@[simp]
lemma coe_castAddEmb (m) : (castAddEmb m : Fin n → Fin (n + m)) = castAdd m := rfl
lemma castAddEmb_apply (m) (i : Fin n) : castAddEmb m i = castAdd m i := rfl
/-- `Fin.castSucc` as an `Embedding`, `castSuccEmb i` embeds `i : Fin n` in `Fin (n+1)`. -/
def castSuccEmb : Fin n ↪ Fin (n + 1) := castAddEmb _
@[simp, norm_cast] lemma coe_castSuccEmb : (castSuccEmb : Fin n → Fin (n + 1)) = Fin.castSucc := rfl
lemma castSuccEmb_apply (i : Fin n) : castSuccEmb i = i.castSucc := rfl
theorem castSucc_le_succ {n} (i : Fin n) : i.castSucc ≤ i.succ := Nat.le_succ i
@[simp] theorem castSucc_le_castSucc_iff {a b : Fin n} : castSucc a ≤ castSucc b ↔ a ≤ b := .rfl
@[simp] theorem succ_le_castSucc_iff {a b : Fin n} : succ a ≤ castSucc b ↔ a < b := by
rw [le_castSucc_iff, succ_lt_succ_iff]
@[simp] theorem castSucc_lt_succ_iff {a b : Fin n} : castSucc a < succ b ↔ a ≤ b := by
rw [castSucc_lt_iff_succ_le, succ_le_succ_iff]
theorem le_of_castSucc_lt_of_succ_lt {a b : Fin (n + 1)} {i : Fin n}
(hl : castSucc i < a) (hu : b < succ i) : b < a := by
simp [Fin.lt_def, -val_fin_lt] at *; omega
theorem castSucc_lt_or_lt_succ (p : Fin (n + 1)) (i : Fin n) : castSucc i < p ∨ p < i.succ := by
simp [Fin.lt_def, -val_fin_lt]; omega
theorem succ_le_or_le_castSucc (p : Fin (n + 1)) (i : Fin n) : succ i ≤ p ∨ p ≤ i.castSucc := by
rw [le_castSucc_iff, ← castSucc_lt_iff_succ_le]
exact p.castSucc_lt_or_lt_succ i
theorem eq_castSucc_of_ne_last {x : Fin (n + 1)} (h : x ≠ (last _)) :
∃ y, Fin.castSucc y = x := exists_castSucc_eq.mpr h
@[deprecated (since := "2025-02-06")]
alias exists_castSucc_eq_of_ne_last := eq_castSucc_of_ne_last
theorem forall_fin_succ' {P : Fin (n + 1) → Prop} :
(∀ i, P i) ↔ (∀ i : Fin n, P i.castSucc) ∧ P (.last _) :=
⟨fun H => ⟨fun _ => H _, H _⟩, fun ⟨H0, H1⟩ i => Fin.lastCases H1 H0 i⟩
-- to match `Fin.eq_zero_or_eq_succ`
theorem eq_castSucc_or_eq_last {n : Nat} (i : Fin (n + 1)) :
(∃ j : Fin n, i = j.castSucc) ∨ i = last n := i.lastCases (Or.inr rfl) (Or.inl ⟨·, rfl⟩)
@[simp]
theorem castSucc_ne_last {n : ℕ} (i : Fin n) : i.castSucc ≠ .last n :=
Fin.ne_of_lt i.castSucc_lt_last
theorem exists_fin_succ' {P : Fin (n + 1) → Prop} :
(∃ i, P i) ↔ (∃ i : Fin n, P i.castSucc) ∨ P (.last _) :=
⟨fun ⟨i, h⟩ => Fin.lastCases Or.inr (fun i hi => Or.inl ⟨i, hi⟩) i h,
fun h => h.elim (fun ⟨i, hi⟩ => ⟨i.castSucc, hi⟩) (fun h => ⟨.last _, h⟩)⟩
/--
The `Fin.castSucc_zero` in `Lean` only applies in `Fin (n+1)`.
This one instead uses a `NeZero n` typeclass hypothesis.
-/
@[simp]
theorem castSucc_zero' [NeZero n] : castSucc (0 : Fin n) = 0 := rfl
@[simp]
theorem castSucc_pos_iff [NeZero n] {i : Fin n} : 0 < castSucc i ↔ 0 < i := by simp [← val_pos_iff]
/-- `castSucc i` is positive when `i` is positive.
The `Fin.castSucc_pos` in `Lean` only applies in `Fin (n+1)`.
This one instead uses a `NeZero n` typeclass hypothesis. -/
alias ⟨_, castSucc_pos'⟩ := castSucc_pos_iff
/--
The `Fin.castSucc_eq_zero_iff` in `Lean` only applies in `Fin (n+1)`.
This one instead uses a `NeZero n` typeclass hypothesis.
-/
@[simp]
theorem castSucc_eq_zero_iff' [NeZero n] (a : Fin n) : castSucc a = 0 ↔ a = 0 :=
Fin.ext_iff.trans <| (Fin.ext_iff.trans <| by simp).symm
/--
The `Fin.castSucc_ne_zero_iff` in `Lean` only applies in `Fin (n+1)`.
This one instead uses a `NeZero n` typeclass hypothesis.
-/
theorem castSucc_ne_zero_iff' [NeZero n] (a : Fin n) : castSucc a ≠ 0 ↔ a ≠ 0 :=
not_iff_not.mpr <| castSucc_eq_zero_iff' a
theorem castSucc_ne_zero_of_lt {p i : Fin n} (h : p < i) : castSucc i ≠ 0 := by
cases n
· exact i.elim0
· rw [castSucc_ne_zero_iff', Ne, Fin.ext_iff]
exact ((zero_le _).trans_lt h).ne'
theorem succ_ne_last_iff (a : Fin (n + 1)) : succ a ≠ last (n + 1) ↔ a ≠ last n :=
not_iff_not.mpr <| succ_eq_last_succ
theorem succ_ne_last_of_lt {p i : Fin n} (h : i < p) : succ i ≠ last n := by
cases n
· exact i.elim0
· rw [succ_ne_last_iff, Ne, Fin.ext_iff]
exact ((le_last _).trans_lt' h).ne
@[norm_cast, simp]
theorem coe_eq_castSucc {a : Fin n} : (a : Fin (n + 1)) = castSucc a := by
ext
exact val_cast_of_lt (Nat.lt.step a.is_lt)
theorem coe_succ_lt_iff_lt {n : ℕ} {j k : Fin n} : (j : Fin <| n + 1) < k ↔ j < k := by
simp only [coe_eq_castSucc, castSucc_lt_castSucc_iff]
@[simp]
theorem range_castSucc {n : ℕ} : Set.range (castSucc : Fin n → Fin n.succ) =
({ i | (i : ℕ) < n } : Set (Fin n.succ)) := range_castLE (by omega)
@[simp]
theorem coe_of_injective_castSucc_symm {n : ℕ} (i : Fin n.succ) (hi) :
((Equiv.ofInjective castSucc (castSucc_injective _)).symm ⟨i, hi⟩ : ℕ) = i := by
rw [← coe_castSucc]
exact congr_arg val (Equiv.apply_ofInjective_symm _ _)
/-- `Fin.addNat` as an `Embedding`, `addNatEmb m i` adds `m` to `i`, generalizes `Fin.succ`. -/
@[simps! apply]
def addNatEmb (m) : Fin n ↪ Fin (n + m) where
toFun := (addNat · m)
inj' a b := by simp [Fin.ext_iff]
/-- `Fin.natAdd` as an `Embedding`, `natAddEmb n i` adds `n` to `i` "on the left". -/
@[simps! apply]
def natAddEmb (n) {m} : Fin m ↪ Fin (n + m) where
toFun := natAdd n
inj' a b := by simp [Fin.ext_iff]
theorem castSucc_castAdd (i : Fin n) : castSucc (castAdd m i) = castAdd (m + 1) i := rfl
theorem castSucc_natAdd (i : Fin m) : castSucc (natAdd n i) = natAdd n (castSucc i) := rfl
theorem succ_castAdd (i : Fin n) : succ (castAdd m i) =
if h : i.succ = last _ then natAdd n (0 : Fin (m + 1))
else castAdd (m + 1) ⟨i.1 + 1, lt_of_le_of_ne i.2 (Fin.val_ne_iff.mpr h)⟩ := by
split_ifs with h
exacts [Fin.ext (congr_arg Fin.val h :), rfl]
theorem succ_natAdd (i : Fin m) : succ (natAdd n i) = natAdd n (succ i) := rfl
end Succ
section Pred
/-!
### pred
-/
theorem pred_one' [NeZero n] (h := (zero_ne_one' (n := n)).symm) :
Fin.pred (1 : Fin (n + 1)) h = 0 := by
simp_rw [Fin.ext_iff, coe_pred, val_one', val_zero, Nat.sub_eq_zero_iff_le, Nat.mod_le]
theorem pred_last (h := Fin.ext_iff.not.2 last_pos'.ne') :
pred (last (n + 1)) h = last n := by simp_rw [← succ_last, pred_succ]
theorem pred_lt_iff {j : Fin n} {i : Fin (n + 1)} (hi : i ≠ 0) : pred i hi < j ↔ i < succ j := by
rw [← succ_lt_succ_iff, succ_pred]
theorem lt_pred_iff {j : Fin n} {i : Fin (n + 1)} (hi : i ≠ 0) : j < pred i hi ↔ succ j < i := by
rw [← succ_lt_succ_iff, succ_pred]
theorem pred_le_iff {j : Fin n} {i : Fin (n + 1)} (hi : i ≠ 0) : pred i hi ≤ j ↔ i ≤ succ j := by
rw [← succ_le_succ_iff, succ_pred]
theorem le_pred_iff {j : Fin n} {i : Fin (n + 1)} (hi : i ≠ 0) : j ≤ pred i hi ↔ succ j ≤ i := by
rw [← succ_le_succ_iff, succ_pred]
theorem castSucc_pred_eq_pred_castSucc {a : Fin (n + 1)} (ha : a ≠ 0)
(ha' := castSucc_ne_zero_iff.mpr ha) :
(a.pred ha).castSucc = (castSucc a).pred ha' := rfl
theorem castSucc_pred_add_one_eq {a : Fin (n + 1)} (ha : a ≠ 0) :
(a.pred ha).castSucc + 1 = a := by
cases a using cases
· exact (ha rfl).elim
· rw [pred_succ, coeSucc_eq_succ]
theorem le_pred_castSucc_iff {a b : Fin (n + 1)} (ha : castSucc a ≠ 0) :
b ≤ (castSucc a).pred ha ↔ b < a := by
rw [le_pred_iff, succ_le_castSucc_iff]
theorem pred_castSucc_lt_iff {a b : Fin (n + 1)} (ha : castSucc a ≠ 0) :
(castSucc a).pred ha < b ↔ a ≤ b := by
rw [pred_lt_iff, castSucc_lt_succ_iff]
theorem pred_castSucc_lt {a : Fin (n + 1)} (ha : castSucc a ≠ 0) :
(castSucc a).pred ha < a := by rw [pred_castSucc_lt_iff, le_def]
theorem le_castSucc_pred_iff {a b : Fin (n + 1)} (ha : a ≠ 0) :
b ≤ castSucc (a.pred ha) ↔ b < a := by
rw [castSucc_pred_eq_pred_castSucc, le_pred_castSucc_iff]
theorem castSucc_pred_lt_iff {a b : Fin (n + 1)} (ha : a ≠ 0) :
castSucc (a.pred ha) < b ↔ a ≤ b := by
rw [castSucc_pred_eq_pred_castSucc, pred_castSucc_lt_iff]
theorem castSucc_pred_lt {a : Fin (n + 1)} (ha : a ≠ 0) :
castSucc (a.pred ha) < a := by rw [castSucc_pred_lt_iff, le_def]
end Pred
section CastPred
/-- `castPred i` sends `i : Fin (n + 1)` to `Fin n` as long as i ≠ last n. -/
@[inline] def castPred (i : Fin (n + 1)) (h : i ≠ last n) : Fin n := castLT i (val_lt_last h)
@[simp]
lemma castLT_eq_castPred (i : Fin (n + 1)) (h : i < last _) (h' := Fin.ext_iff.not.2 h.ne) :
castLT i h = castPred i h' := rfl
@[simp]
lemma coe_castPred (i : Fin (n + 1)) (h : i ≠ last _) : (castPred i h : ℕ) = i := rfl
@[simp]
theorem castPred_castSucc {i : Fin n} (h' := Fin.ext_iff.not.2 (castSucc_lt_last i).ne) :
castPred (castSucc i) h' = i := rfl
@[simp]
theorem castSucc_castPred (i : Fin (n + 1)) (h : i ≠ last n) :
castSucc (i.castPred h) = i := by
rcases exists_castSucc_eq.mpr h with ⟨y, rfl⟩
rw [castPred_castSucc]
theorem castPred_eq_iff_eq_castSucc (i : Fin (n + 1)) (hi : i ≠ last _) (j : Fin n) :
castPred i hi = j ↔ i = castSucc j :=
⟨fun h => by rw [← h, castSucc_castPred], fun h => by simp_rw [h, castPred_castSucc]⟩
@[simp]
theorem castPred_mk (i : ℕ) (h₁ : i < n) (h₂ := h₁.trans (Nat.lt_succ_self _))
(h₃ : ⟨i, h₂⟩ ≠ last _ := (ne_iff_vne _ _).mpr (val_last _ ▸ h₁.ne)) :
castPred ⟨i, h₂⟩ h₃ = ⟨i, h₁⟩ := rfl
@[simp]
theorem castPred_le_castPred_iff {i j : Fin (n + 1)} {hi : i ≠ last n} {hj : j ≠ last n} :
castPred i hi ≤ castPred j hj ↔ i ≤ j := Iff.rfl
/-- A version of the right-to-left implication of `castPred_le_castPred_iff`
that deduces `i ≠ last n` from `i ≤ j` and `j ≠ last n`. -/
@[gcongr]
theorem castPred_le_castPred {i j : Fin (n + 1)} (h : i ≤ j) (hj : j ≠ last n) :
castPred i (by rw [← lt_last_iff_ne_last] at hj ⊢; exact Fin.lt_of_le_of_lt h hj) ≤
castPred j hj :=
h
@[simp]
theorem castPred_lt_castPred_iff {i j : Fin (n + 1)} {hi : i ≠ last n} {hj : j ≠ last n} :
castPred i hi < castPred j hj ↔ i < j := Iff.rfl
/-- A version of the right-to-left implication of `castPred_lt_castPred_iff`
that deduces `i ≠ last n` from `i < j`. -/
@[gcongr]
theorem castPred_lt_castPred {i j : Fin (n + 1)} (h : i < j) (hj : j ≠ last n) :
castPred i (ne_last_of_lt h) < castPred j hj := h
theorem castPred_lt_iff {j : Fin n} {i : Fin (n + 1)} (hi : i ≠ last n) :
castPred i hi < j ↔ i < castSucc j := by
rw [← castSucc_lt_castSucc_iff, castSucc_castPred]
theorem lt_castPred_iff {j : Fin n} {i : Fin (n + 1)} (hi : i ≠ last n) :
j < castPred i hi ↔ castSucc j < i := by
rw [← castSucc_lt_castSucc_iff, castSucc_castPred]
theorem castPred_le_iff {j : Fin n} {i : Fin (n + 1)} (hi : i ≠ last n) :
castPred i hi ≤ j ↔ i ≤ castSucc j := by
rw [← castSucc_le_castSucc_iff, castSucc_castPred]
theorem le_castPred_iff {j : Fin n} {i : Fin (n + 1)} (hi : i ≠ last n) :
j ≤ castPred i hi ↔ castSucc j ≤ i := by
rw [← castSucc_le_castSucc_iff, castSucc_castPred]
@[simp]
theorem castPred_inj {i j : Fin (n + 1)} {hi : i ≠ last n} {hj : j ≠ last n} :
castPred i hi = castPred j hj ↔ i = j := by
simp_rw [Fin.ext_iff, le_antisymm_iff, ← le_def, castPred_le_castPred_iff]
theorem castPred_zero' [NeZero n] (h := Fin.ext_iff.not.2 last_pos'.ne) :
castPred (0 : Fin (n + 1)) h = 0 := rfl
theorem castPred_zero (h := Fin.ext_iff.not.2 last_pos.ne) :
castPred (0 : Fin (n + 2)) h = 0 := rfl
@[simp]
theorem castPred_eq_zero [NeZero n] {i : Fin (n + 1)} (h : i ≠ last n) :
Fin.castPred i h = 0 ↔ i = 0 := by
rw [← castPred_zero', castPred_inj]
@[simp]
theorem castPred_one [NeZero n] (h := Fin.ext_iff.not.2 one_lt_last.ne) :
castPred (1 : Fin (n + 2)) h = 1 := by
cases n
· exact subsingleton_one.elim _ 1
· rfl
theorem succ_castPred_eq_castPred_succ {a : Fin (n + 1)} (ha : a ≠ last n)
(ha' := a.succ_ne_last_iff.mpr ha) :
(a.castPred ha).succ = (succ a).castPred ha' := rfl
theorem succ_castPred_eq_add_one {a : Fin (n + 1)} (ha : a ≠ last n) :
(a.castPred ha).succ = a + 1 := by
cases a using lastCases
· exact (ha rfl).elim
· rw [castPred_castSucc, coeSucc_eq_succ]
theorem castpred_succ_le_iff {a b : Fin (n + 1)} (ha : succ a ≠ last (n + 1)) :
(succ a).castPred ha ≤ b ↔ a < b := by
rw [castPred_le_iff, succ_le_castSucc_iff]
theorem lt_castPred_succ_iff {a b : Fin (n + 1)} (ha : succ a ≠ last (n + 1)) :
b < (succ a).castPred ha ↔ b ≤ a := by
rw [lt_castPred_iff, castSucc_lt_succ_iff]
theorem lt_castPred_succ {a : Fin (n + 1)} (ha : succ a ≠ last (n + 1)) :
a < (succ a).castPred ha := by rw [lt_castPred_succ_iff, le_def]
theorem succ_castPred_le_iff {a b : Fin (n + 1)} (ha : a ≠ last n) :
succ (a.castPred ha) ≤ b ↔ a < b := by
rw [succ_castPred_eq_castPred_succ ha, castpred_succ_le_iff]
theorem lt_succ_castPred_iff {a b : Fin (n + 1)} (ha : a ≠ last n) :
b < succ (a.castPred ha) ↔ b ≤ a := by
rw [succ_castPred_eq_castPred_succ ha, lt_castPred_succ_iff]
theorem lt_succ_castPred {a : Fin (n + 1)} (ha : a ≠ last n) :
a < succ (a.castPred ha) := by rw [lt_succ_castPred_iff, le_def]
theorem castPred_le_pred_iff {a b : Fin (n + 1)} (ha : a ≠ last n) (hb : b ≠ 0) :
castPred a ha ≤ pred b hb ↔ a < b := by
rw [le_pred_iff, succ_castPred_le_iff]
theorem pred_lt_castPred_iff {a b : Fin (n + 1)} (ha : a ≠ 0) (hb : b ≠ last n) :
pred a ha < castPred b hb ↔ a ≤ b := by
rw [lt_castPred_iff, castSucc_pred_lt_iff ha]
theorem pred_lt_castPred {a : Fin (n + 1)} (h₁ : a ≠ 0) (h₂ : a ≠ last n) :
pred a h₁ < castPred a h₂ := by
rw [pred_lt_castPred_iff, le_def]
end CastPred
section SuccAbove
variable {p : Fin (n + 1)} {i j : Fin n}
/-- `succAbove p i` embeds `Fin n` into `Fin (n + 1)` with a hole around `p`. -/
def succAbove (p : Fin (n + 1)) (i : Fin n) : Fin (n + 1) :=
if castSucc i < p then i.castSucc else i.succ
/-- Embedding `i : Fin n` into `Fin (n + 1)` with a hole around `p : Fin (n + 1)`
embeds `i` by `castSucc` when the resulting `i.castSucc < p`. -/
lemma succAbove_of_castSucc_lt (p : Fin (n + 1)) (i : Fin n) (h : castSucc i < p) :
p.succAbove i = castSucc i := if_pos h
lemma succAbove_of_succ_le (p : Fin (n + 1)) (i : Fin n) (h : succ i ≤ p) :
p.succAbove i = castSucc i :=
succAbove_of_castSucc_lt _ _ (castSucc_lt_iff_succ_le.mpr h)
/-- Embedding `i : Fin n` into `Fin (n + 1)` with a hole around `p : Fin (n + 1)`
embeds `i` by `succ` when the resulting `p < i.succ`. -/
lemma succAbove_of_le_castSucc (p : Fin (n + 1)) (i : Fin n) (h : p ≤ castSucc i) :
p.succAbove i = i.succ := if_neg (Fin.not_lt.2 h)
lemma succAbove_of_lt_succ (p : Fin (n + 1)) (i : Fin n) (h : p < succ i) :
p.succAbove i = succ i := succAbove_of_le_castSucc _ _ (le_castSucc_iff.mpr h)
lemma succAbove_succ_of_lt (p i : Fin n) (h : p < i) : succAbove p.succ i = i.succ :=
succAbove_of_lt_succ _ _ (succ_lt_succ_iff.mpr h)
lemma succAbove_succ_of_le (p i : Fin n) (h : i ≤ p) : succAbove p.succ i = i.castSucc :=
succAbove_of_succ_le _ _ (succ_le_succ_iff.mpr h)
@[simp] lemma succAbove_succ_self (j : Fin n) : j.succ.succAbove j = j.castSucc :=
succAbove_succ_of_le _ _ Fin.le_rfl
lemma succAbove_castSucc_of_lt (p i : Fin n) (h : i < p) : succAbove p.castSucc i = i.castSucc :=
succAbove_of_castSucc_lt _ _ (castSucc_lt_castSucc_iff.2 h)
lemma succAbove_castSucc_of_le (p i : Fin n) (h : p ≤ i) : succAbove p.castSucc i = i.succ :=
succAbove_of_le_castSucc _ _ (castSucc_le_castSucc_iff.2 h)
@[simp] lemma succAbove_castSucc_self (j : Fin n) : succAbove j.castSucc j = j.succ :=
succAbove_castSucc_of_le _ _ Fin.le_rfl
lemma succAbove_pred_of_lt (p i : Fin (n + 1)) (h : p < i)
(hi := Fin.ne_of_gt <| Fin.lt_of_le_of_lt p.zero_le h) : succAbove p (i.pred hi) = i := by
rw [succAbove_of_lt_succ _ _ (succ_pred _ _ ▸ h), succ_pred]
lemma succAbove_pred_of_le (p i : Fin (n + 1)) (h : i ≤ p) (hi : i ≠ 0) :
succAbove p (i.pred hi) = (i.pred hi).castSucc := succAbove_of_succ_le _ _ (succ_pred _ _ ▸ h)
@[simp] lemma succAbove_pred_self (p : Fin (n + 1)) (h : p ≠ 0) :
succAbove p (p.pred h) = (p.pred h).castSucc := succAbove_pred_of_le _ _ Fin.le_rfl h
lemma succAbove_castPred_of_lt (p i : Fin (n + 1)) (h : i < p)
(hi := Fin.ne_of_lt <| Nat.lt_of_lt_of_le h p.le_last) : succAbove p (i.castPred hi) = i := by
rw [succAbove_of_castSucc_lt _ _ (castSucc_castPred _ _ ▸ h), castSucc_castPred]
lemma succAbove_castPred_of_le (p i : Fin (n + 1)) (h : p ≤ i) (hi : i ≠ last n) :
succAbove p (i.castPred hi) = (i.castPred hi).succ :=
succAbove_of_le_castSucc _ _ (castSucc_castPred _ _ ▸ h)
lemma succAbove_castPred_self (p : Fin (n + 1)) (h : p ≠ last n) :
succAbove p (p.castPred h) = (p.castPred h).succ := succAbove_castPred_of_le _ _ Fin.le_rfl h
/-- Embedding `i : Fin n` into `Fin (n + 1)` with a hole around `p : Fin (n + 1)`
never results in `p` itself -/
@[simp]
lemma succAbove_ne (p : Fin (n + 1)) (i : Fin n) : p.succAbove i ≠ p := by
rcases p.castSucc_lt_or_lt_succ i with (h | h)
· rw [succAbove_of_castSucc_lt _ _ h]
exact Fin.ne_of_lt h
· rw [succAbove_of_lt_succ _ _ h]
exact Fin.ne_of_gt h
@[simp]
lemma ne_succAbove (p : Fin (n + 1)) (i : Fin n) : p ≠ p.succAbove i := (succAbove_ne _ _).symm
/-- Given a fixed pivot `p : Fin (n + 1)`, `p.succAbove` is injective. -/
lemma succAbove_right_injective : Injective p.succAbove := by
rintro i j hij
unfold succAbove at hij
split_ifs at hij with hi hj hj
· exact castSucc_injective _ hij
· rw [hij] at hi
cases hj <| Nat.lt_trans j.castSucc_lt_succ hi
· rw [← hij] at hj
cases hi <| Nat.lt_trans i.castSucc_lt_succ hj
· exact succ_injective _ hij
/-- Given a fixed pivot `p : Fin (n + 1)`, `p.succAbove` is injective. -/
lemma succAbove_right_inj : p.succAbove i = p.succAbove j ↔ i = j :=
succAbove_right_injective.eq_iff
/-- `Fin.succAbove p` as an `Embedding`. -/
@[simps!]
def succAboveEmb (p : Fin (n + 1)) : Fin n ↪ Fin (n + 1) := ⟨p.succAbove, succAbove_right_injective⟩
@[simp, norm_cast] lemma coe_succAboveEmb (p : Fin (n + 1)) : p.succAboveEmb = p.succAbove := rfl
@[simp]
lemma succAbove_ne_zero_zero [NeZero n] {a : Fin (n + 1)} (ha : a ≠ 0) : a.succAbove 0 = 0 := by
rw [Fin.succAbove_of_castSucc_lt]
· exact castSucc_zero'
· exact Fin.pos_iff_ne_zero.2 ha
lemma succAbove_eq_zero_iff [NeZero n] {a : Fin (n + 1)} {b : Fin n} (ha : a ≠ 0) :
a.succAbove b = 0 ↔ b = 0 := by
rw [← succAbove_ne_zero_zero ha, succAbove_right_inj]
lemma succAbove_ne_zero [NeZero n] {a : Fin (n + 1)} {b : Fin n} (ha : a ≠ 0) (hb : b ≠ 0) :
a.succAbove b ≠ 0 := mt (succAbove_eq_zero_iff ha).mp hb
/-- Embedding `Fin n` into `Fin (n + 1)` with a hole around zero embeds by `succ`. -/
@[simp] lemma succAbove_zero : succAbove (0 : Fin (n + 1)) = Fin.succ := rfl
lemma succAbove_zero_apply (i : Fin n) : succAbove 0 i = succ i := by rw [succAbove_zero]
@[simp] lemma succAbove_ne_last_last {a : Fin (n + 2)} (h : a ≠ last (n + 1)) :
a.succAbove (last n) = last (n + 1) := by
rw [succAbove_of_lt_succ _ _ (succ_last _ ▸ lt_last_iff_ne_last.2 h), succ_last]
lemma succAbove_eq_last_iff {a : Fin (n + 2)} {b : Fin (n + 1)} (ha : a ≠ last _) :
a.succAbove b = last _ ↔ b = last _ := by
rw [← succAbove_ne_last_last ha, succAbove_right_inj]
lemma succAbove_ne_last {a : Fin (n + 2)} {b : Fin (n + 1)} (ha : a ≠ last _) (hb : b ≠ last _) :
a.succAbove b ≠ last _ := mt (succAbove_eq_last_iff ha).mp hb
/-- Embedding `Fin n` into `Fin (n + 1)` with a hole around `last n` embeds by `castSucc`. -/
@[simp] lemma succAbove_last : succAbove (last n) = castSucc := by
ext; simp only [succAbove_of_castSucc_lt, castSucc_lt_last]
lemma succAbove_last_apply (i : Fin n) : succAbove (last n) i = castSucc i := by rw [succAbove_last]
/-- Embedding `i : Fin n` into `Fin (n + 1)` using a pivot `p` that is greater
results in a value that is less than `p`. -/
lemma succAbove_lt_iff_castSucc_lt (p : Fin (n + 1)) (i : Fin n) :
p.succAbove i < p ↔ castSucc i < p := by
rcases castSucc_lt_or_lt_succ p i with H | H
· rwa [iff_true_right H, succAbove_of_castSucc_lt _ _ H]
· rw [castSucc_lt_iff_succ_le, iff_false_right (Fin.not_le.2 H), succAbove_of_lt_succ _ _ H]
exact Fin.not_lt.2 <| Fin.le_of_lt H
lemma succAbove_lt_iff_succ_le (p : Fin (n + 1)) (i : Fin n) :
p.succAbove i < p ↔ succ i ≤ p := by
rw [succAbove_lt_iff_castSucc_lt, castSucc_lt_iff_succ_le]
/-- Embedding `i : Fin n` into `Fin (n + 1)` using a pivot `p` that is lesser
results in a value that is greater than `p`. -/
lemma lt_succAbove_iff_le_castSucc (p : Fin (n + 1)) (i : Fin n) :
p < p.succAbove i ↔ p ≤ castSucc i := by
rcases castSucc_lt_or_lt_succ p i with H | H
· rw [iff_false_right (Fin.not_le.2 H), succAbove_of_castSucc_lt _ _ H]
exact Fin.not_lt.2 <| Fin.le_of_lt H
· rwa [succAbove_of_lt_succ _ _ H, iff_true_left H, le_castSucc_iff]
lemma lt_succAbove_iff_lt_castSucc (p : Fin (n + 1)) (i : Fin n) :
p < p.succAbove i ↔ p < succ i := by rw [lt_succAbove_iff_le_castSucc, le_castSucc_iff]
/-- Embedding a positive `Fin n` results in a positive `Fin (n + 1)` -/
lemma succAbove_pos [NeZero n] (p : Fin (n + 1)) (i : Fin n) (h : 0 < i) : 0 < p.succAbove i := by
by_cases H : castSucc i < p
· simpa [succAbove_of_castSucc_lt _ _ H] using castSucc_pos' h
· simp [succAbove_of_le_castSucc _ _ (Fin.not_lt.1 H)]
lemma castPred_succAbove (x : Fin n) (y : Fin (n + 1)) (h : castSucc x < y)
(h' := Fin.ne_last_of_lt <| (succAbove_lt_iff_castSucc_lt ..).2 h) :
(y.succAbove x).castPred h' = x := by
rw [castPred_eq_iff_eq_castSucc, succAbove_of_castSucc_lt _ _ h]
lemma pred_succAbove (x : Fin n) (y : Fin (n + 1)) (h : y ≤ castSucc x)
(h' := Fin.ne_zero_of_lt <| (lt_succAbove_iff_le_castSucc ..).2 h) :
(y.succAbove x).pred h' = x := by simp only [succAbove_of_le_castSucc _ _ h, pred_succ]
lemma exists_succAbove_eq {x y : Fin (n + 1)} (h : x ≠ y) : ∃ z, y.succAbove z = x := by
obtain hxy | hyx := Fin.lt_or_lt_of_ne h
exacts [⟨_, succAbove_castPred_of_lt _ _ hxy⟩, ⟨_, succAbove_pred_of_lt _ _ hyx⟩]
@[simp] lemma exists_succAbove_eq_iff {x y : Fin (n + 1)} : (∃ z, x.succAbove z = y) ↔ y ≠ x :=
⟨by rintro ⟨y, rfl⟩; exact succAbove_ne _ _, exists_succAbove_eq⟩
/-- The range of `p.succAbove` is everything except `p`. -/
@[simp] lemma range_succAbove (p : Fin (n + 1)) : Set.range p.succAbove = {p}ᶜ :=
Set.ext fun _ => exists_succAbove_eq_iff
@[simp] lemma range_succ (n : ℕ) : Set.range (Fin.succ : Fin n → Fin (n + 1)) = {0}ᶜ := by
rw [← succAbove_zero]; exact range_succAbove (0 : Fin (n + 1))
/-- `succAbove` is injective at the pivot -/
lemma succAbove_left_injective : Injective (@succAbove n) := fun _ _ h => by
simpa [range_succAbove] using congr_arg (fun f : Fin n → Fin (n + 1) => (Set.range f)ᶜ) h
/-- `succAbove` is injective at the pivot -/
@[simp] lemma succAbove_left_inj {x y : Fin (n + 1)} : x.succAbove = y.succAbove ↔ x = y :=
succAbove_left_injective.eq_iff
@[simp] lemma zero_succAbove {n : ℕ} (i : Fin n) : (0 : Fin (n + 1)).succAbove i = i.succ := rfl
lemma succ_succAbove_zero {n : ℕ} [NeZero n] (i : Fin n) : succAbove i.succ 0 = 0 := by simp
/-- `succ` commutes with `succAbove`. -/
@[simp] lemma succ_succAbove_succ {n : ℕ} (i : Fin (n + 1)) (j : Fin n) :
i.succ.succAbove j.succ = (i.succAbove j).succ := by
obtain h | h := i.lt_or_le (succ j)
· rw [succAbove_of_lt_succ _ _ h, succAbove_succ_of_lt _ _ h]
· rwa [succAbove_of_castSucc_lt _ _ h, succAbove_succ_of_le, succ_castSucc]
/-- `castSucc` commutes with `succAbove`. -/
@[simp]
lemma castSucc_succAbove_castSucc {n : ℕ} {i : Fin (n + 1)} {j : Fin n} :
i.castSucc.succAbove j.castSucc = (i.succAbove j).castSucc := by
rcases i.le_or_lt (castSucc j) with (h | h)
· rw [succAbove_of_le_castSucc _ _ h, succAbove_castSucc_of_le _ _ h, succ_castSucc]
· rw [succAbove_of_castSucc_lt _ _ h, succAbove_castSucc_of_lt _ _ h]
/-- `pred` commutes with `succAbove`. -/
lemma pred_succAbove_pred {a : Fin (n + 2)} {b : Fin (n + 1)} (ha : a ≠ 0) (hb : b ≠ 0)
(hk := succAbove_ne_zero ha hb) :
(a.pred ha).succAbove (b.pred hb) = (a.succAbove b).pred hk := by
simp_rw [← succ_inj (b := pred (succAbove a b) hk), ← succ_succAbove_succ, succ_pred]
/-- `castPred` commutes with `succAbove`. -/
lemma castPred_succAbove_castPred {a : Fin (n + 2)} {b : Fin (n + 1)} (ha : a ≠ last (n + 1))
(hb : b ≠ last n) (hk := succAbove_ne_last ha hb) :
(a.castPred ha).succAbove (b.castPred hb) = (a.succAbove b).castPred hk := by
simp_rw [← castSucc_inj (b := (a.succAbove b).castPred hk), ← castSucc_succAbove_castSucc,
castSucc_castPred]
lemma one_succAbove_zero {n : ℕ} : (1 : Fin (n + 2)).succAbove 0 = 0 := by
rfl
/-- By moving `succ` to the outside of this expression, we create opportunities for further
simplification using `succAbove_zero` or `succ_succAbove_zero`. -/
@[simp] lemma succ_succAbove_one {n : ℕ} [NeZero n] (i : Fin (n + 1)) :
i.succ.succAbove 1 = (i.succAbove 0).succ := by
rw [← succ_zero_eq_one']; convert succ_succAbove_succ i 0
@[simp] lemma one_succAbove_succ {n : ℕ} (j : Fin n) :
(1 : Fin (n + 2)).succAbove j.succ = j.succ.succ := by
have := succ_succAbove_succ 0 j; rwa [succ_zero_eq_one, zero_succAbove] at this
@[simp] lemma one_succAbove_one {n : ℕ} : (1 : Fin (n + 3)).succAbove 1 = 2 := by
simpa only [succ_zero_eq_one, val_zero, zero_succAbove, succ_one_eq_two]
using succ_succAbove_succ (0 : Fin (n + 2)) (0 : Fin (n + 2))
end SuccAbove
section PredAbove
/-- `predAbove p i` surjects `i : Fin (n+1)` into `Fin n` by subtracting one if `p < i`. -/
def predAbove (p : Fin n) (i : Fin (n + 1)) : Fin n :=
if h : castSucc p < i
then pred i (Fin.ne_zero_of_lt h)
else castPred i (Fin.ne_of_lt <| Fin.lt_of_le_of_lt (Fin.not_lt.1 h) (castSucc_lt_last _))
lemma predAbove_of_le_castSucc (p : Fin n) (i : Fin (n + 1)) (h : i ≤ castSucc p)
(hi := Fin.ne_of_lt <| Fin.lt_of_le_of_lt h <| castSucc_lt_last _) :
p.predAbove i = i.castPred hi := dif_neg <| Fin.not_lt.2 h
lemma predAbove_of_lt_succ (p : Fin n) (i : Fin (n + 1)) (h : i < succ p)
(hi := Fin.ne_last_of_lt h) : p.predAbove i = i.castPred hi :=
predAbove_of_le_castSucc _ _ (le_castSucc_iff.mpr h)
lemma predAbove_of_castSucc_lt (p : Fin n) (i : Fin (n + 1)) (h : castSucc p < i)
(hi := Fin.ne_zero_of_lt h) : p.predAbove i = i.pred hi := dif_pos h
lemma predAbove_of_succ_le (p : Fin n) (i : Fin (n + 1)) (h : succ p ≤ i)
(hi := Fin.ne_of_gt <| Fin.lt_of_lt_of_le (succ_pos _) h) :
p.predAbove i = i.pred hi := predAbove_of_castSucc_lt _ _ (castSucc_lt_iff_succ_le.mpr h)
lemma predAbove_succ_of_lt (p i : Fin n) (h : i < p) (hi := succ_ne_last_of_lt h) :
p.predAbove (succ i) = (i.succ).castPred hi := by
rw [predAbove_of_lt_succ _ _ (succ_lt_succ_iff.mpr h)]
lemma predAbove_succ_of_le (p i : Fin n) (h : p ≤ i) : p.predAbove (succ i) = i := by
rw [predAbove_of_succ_le _ _ (succ_le_succ_iff.mpr h), pred_succ]
@[simp] lemma predAbove_succ_self (p : Fin n) : p.predAbove (succ p) = p :=
predAbove_succ_of_le _ _ Fin.le_rfl
lemma predAbove_castSucc_of_lt (p i : Fin n) (h : p < i) (hi := castSucc_ne_zero_of_lt h) :
p.predAbove (castSucc i) = i.castSucc.pred hi := by
rw [predAbove_of_castSucc_lt _ _ (castSucc_lt_castSucc_iff.2 h)]
lemma predAbove_castSucc_of_le (p i : Fin n) (h : i ≤ p) : p.predAbove (castSucc i) = i := by
rw [predAbove_of_le_castSucc _ _ (castSucc_le_castSucc_iff.mpr h), castPred_castSucc]
@[simp] lemma predAbove_castSucc_self (p : Fin n) : p.predAbove (castSucc p) = p :=
predAbove_castSucc_of_le _ _ Fin.le_rfl
lemma predAbove_pred_of_lt (p i : Fin (n + 1)) (h : i < p) (hp := Fin.ne_zero_of_lt h)
(hi := Fin.ne_last_of_lt h) : (pred p hp).predAbove i = castPred i hi := by
rw [predAbove_of_lt_succ _ _ (succ_pred _ _ ▸ h)]
lemma predAbove_pred_of_le (p i : Fin (n + 1)) (h : p ≤ i) (hp : p ≠ 0)
(hi := Fin.ne_of_gt <| Fin.lt_of_lt_of_le (Fin.pos_iff_ne_zero.2 hp) h) :
(pred p hp).predAbove i = pred i hi := by rw [predAbove_of_succ_le _ _ (succ_pred _ _ ▸ h)]
lemma predAbove_pred_self (p : Fin (n + 1)) (hp : p ≠ 0) : (pred p hp).predAbove p = pred p hp :=
predAbove_pred_of_le _ _ Fin.le_rfl hp
lemma predAbove_castPred_of_lt (p i : Fin (n + 1)) (h : p < i) (hp := Fin.ne_last_of_lt h)
(hi := Fin.ne_zero_of_lt h) : (castPred p hp).predAbove i = pred i hi := by
rw [predAbove_of_castSucc_lt _ _ (castSucc_castPred _ _ ▸ h)]
lemma predAbove_castPred_of_le (p i : Fin (n + 1)) (h : i ≤ p) (hp : p ≠ last n)
(hi := Fin.ne_of_lt <| Fin.lt_of_le_of_lt h <| Fin.lt_last_iff_ne_last.2 hp) :
(castPred p hp).predAbove i = castPred i hi := by
rw [predAbove_of_le_castSucc _ _ (castSucc_castPred _ _ ▸ h)]
lemma predAbove_castPred_self (p : Fin (n + 1)) (hp : p ≠ last n) :
(castPred p hp).predAbove p = castPred p hp := predAbove_castPred_of_le _ _ Fin.le_rfl hp
@[simp] lemma predAbove_right_zero [NeZero n] {i : Fin n} : predAbove (i : Fin n) 0 = 0 := by
cases n
· exact i.elim0
· rw [predAbove_of_le_castSucc _ _ (zero_le _), castPred_zero]
lemma predAbove_zero_succ [NeZero n] {i : Fin n} : predAbove 0 i.succ = i := by
rw [predAbove_succ_of_le _ _ (Fin.zero_le' _)]
@[simp]
lemma succ_predAbove_zero [NeZero n] {j : Fin (n + 1)} (h : j ≠ 0) : succ (predAbove 0 j) = j := by
rcases exists_succ_eq_of_ne_zero h with ⟨k, rfl⟩
rw [predAbove_zero_succ]
@[simp] lemma predAbove_zero_of_ne_zero [NeZero n] {i : Fin (n + 1)} (hi : i ≠ 0) :
predAbove 0 i = i.pred hi := by
obtain ⟨y, rfl⟩ := exists_succ_eq.2 hi; exact predAbove_zero_succ
lemma predAbove_zero [NeZero n] {i : Fin (n + 1)} :
predAbove (0 : Fin n) i = if hi : i = 0 then 0 else i.pred hi := by
split_ifs with hi
· rw [hi, predAbove_right_zero]
· rw [predAbove_zero_of_ne_zero hi]
@[simp] lemma predAbove_right_last {i : Fin (n + 1)} : predAbove i (last (n + 1)) = last n := by
rw [predAbove_of_castSucc_lt _ _ (castSucc_lt_last _), pred_last]
lemma predAbove_last_castSucc {i : Fin (n + 1)} : predAbove (last n) (i.castSucc) = i := by
rw [predAbove_of_le_castSucc _ _ (castSucc_le_castSucc_iff.mpr (le_last _)), castPred_castSucc]
@[simp] lemma predAbove_last_of_ne_last {i : Fin (n + 2)} (hi : i ≠ last (n + 1)) :
predAbove (last n) i = castPred i hi := by
rw [← exists_castSucc_eq] at hi
rcases hi with ⟨y, rfl⟩
exact predAbove_last_castSucc
lemma predAbove_last_apply {i : Fin (n + 2)} :
predAbove (last n) i = if hi : i = last _ then last _ else i.castPred hi := by
split_ifs with hi
· rw [hi, predAbove_right_last]
· rw [predAbove_last_of_ne_last hi]
/-- Sending `Fin (n+1)` to `Fin n` by subtracting one from anything above `p`
then back to `Fin (n+1)` with a gap around `p` is the identity away from `p`. -/
@[simp]
lemma succAbove_predAbove {p : Fin n} {i : Fin (n + 1)} (h : i ≠ castSucc p) :
p.castSucc.succAbove (p.predAbove i) = i := by
obtain h | h := Fin.lt_or_lt_of_ne h
· rw [predAbove_of_le_castSucc _ _ (Fin.le_of_lt h), succAbove_castPred_of_lt _ _ h]
· rw [predAbove_of_castSucc_lt _ _ h, succAbove_pred_of_lt _ _ h]
/-- Sending `Fin (n+1)` to `Fin n` by subtracting one from anything above `p`
then back to `Fin (n+1)` with a gap around `p.succ` is the identity away from `p.succ`. -/
@[simp]
lemma succ_succAbove_predAbove {n : ℕ} {p : Fin n} {i : Fin (n + 1)} (h : i ≠ p.succ) :
p.succ.succAbove (p.predAbove i) = i := by
obtain h | h := Fin.lt_or_lt_of_ne h
· rw [predAbove_of_le_castSucc _ _ (le_castSucc_iff.2 h),
succAbove_castPred_of_lt _ _ h]
· rw [predAbove_of_castSucc_lt _ _ (Fin.lt_of_le_of_lt (p.castSucc_le_succ) h),
succAbove_pred_of_lt _ _ h]
/-- Sending `Fin n` into `Fin (n + 1)` with a gap at `p`
then back to `Fin n` by subtracting one from anything above `p` is the identity. -/
@[simp]
lemma predAbove_succAbove (p : Fin n) (i : Fin n) : p.predAbove ((castSucc p).succAbove i) = i := by
obtain h | h := p.le_or_lt i
· rw [succAbove_castSucc_of_le _ _ h, predAbove_succ_of_le _ _ h]
· rw [succAbove_castSucc_of_lt _ _ h, predAbove_castSucc_of_le _ _ <| Fin.le_of_lt h]
/-- `succ` commutes with `predAbove`. -/
@[simp] lemma succ_predAbove_succ (a : Fin n) (b : Fin (n + 1)) :
a.succ.predAbove b.succ = (a.predAbove b).succ := by
obtain h | h := Fin.le_or_lt (succ a) b
· rw [predAbove_of_castSucc_lt _ _ h, predAbove_succ_of_le _ _ h, succ_pred]
· rw [predAbove_of_lt_succ _ _ h, predAbove_succ_of_lt _ _ h, succ_castPred_eq_castPred_succ]
/-- `castSucc` commutes with `predAbove`. -/
@[simp] lemma castSucc_predAbove_castSucc {n : ℕ} (a : Fin n) (b : Fin (n + 1)) :
a.castSucc.predAbove b.castSucc = (a.predAbove b).castSucc := by
obtain h | h := a.castSucc.lt_or_le b
· rw [predAbove_of_castSucc_lt _ _ h, predAbove_castSucc_of_lt _ _ h,
castSucc_pred_eq_pred_castSucc]
· rw [predAbove_of_le_castSucc _ _ h, predAbove_castSucc_of_le _ _ h, castSucc_castPred]
end PredAbove
section DivMod
/-- Compute `i / n`, where `n` is a `Nat` and inferred the type of `i`. -/
def divNat (i : Fin (m * n)) : Fin m :=
⟨i / n, Nat.div_lt_of_lt_mul <| Nat.mul_comm m n ▸ i.prop⟩
@[simp]
theorem coe_divNat (i : Fin (m * n)) : (i.divNat : ℕ) = i / n :=
rfl
/-- Compute `i % n`, where `n` is a `Nat` and inferred the type of `i`. -/
def modNat (i : Fin (m * n)) : Fin n := ⟨i % n, Nat.mod_lt _ <| Nat.pos_of_mul_pos_left i.pos⟩
@[simp]
theorem coe_modNat (i : Fin (m * n)) : (i.modNat : ℕ) = i % n :=
rfl
theorem modNat_rev (i : Fin (m * n)) : i.rev.modNat = i.modNat.rev := by
ext
have H₁ : i % n + 1 ≤ n := i.modNat.is_lt
have H₂ : i / n < m := i.divNat.is_lt
simp only [coe_modNat, val_rev]
calc
(m * n - (i + 1)) % n = (m * n - ((i / n) * n + i % n + 1)) % n := by rw [Nat.div_add_mod']
_ = ((m - i / n - 1) * n + (n - (i % n + 1))) % n := by
rw [Nat.mul_sub_right_distrib, Nat.one_mul, Nat.sub_add_sub_cancel _ H₁,
Nat.mul_sub_right_distrib, Nat.sub_sub, Nat.add_assoc]
exact Nat.le_mul_of_pos_left _ <| Nat.le_sub_of_add_le' H₂
_ = n - (i % n + 1) := by
rw [Nat.mul_comm, Nat.mul_add_mod, Nat.mod_eq_of_lt]; exact i.modNat.rev.is_lt
end DivMod
section Rec
/-!
### recursion and induction principles
-/
end Rec
open scoped Relator in
theorem liftFun_iff_succ {α : Type*} (r : α → α → Prop) [IsTrans α r] {f : Fin (n + 1) → α} :
((· < ·) ⇒ r) f f ↔ ∀ i : Fin n, r (f (castSucc i)) (f i.succ) := by
constructor
· intro H i
exact H i.castSucc_lt_succ
| · refine fun H i => Fin.induction (fun h ↦ ?_) ?_
· simp [le_def] at h
· intro j ihj hij
rw [← le_castSucc_iff] at hij
obtain hij | hij := (le_def.1 hij).eq_or_lt
· obtain rfl := Fin.ext hij
exact H _
· exact _root_.trans (ihj hij) (H j)
| Mathlib/Data/Fin/Basic.lean | 1,370 | 1,377 |
/-
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.Subalgebra
import Mathlib.LinearAlgebra.Finsupp.Span
/-!
# Lie submodules of a Lie algebra
In this file we define Lie submodules, we construct the lattice structure on Lie submodules and we
use it to define various important operations, notably the Lie span of a subset of a Lie module.
## Main definitions
* `LieSubmodule`
* `LieSubmodule.wellFounded_of_noetherian`
* `LieSubmodule.lieSpan`
* `LieSubmodule.map`
* `LieSubmodule.comap`
## Tags
lie algebra, lie submodule, lie ideal, lattice structure
-/
universe u v w w₁ w₂
section LieSubmodule
variable (R : Type u) (L : Type v) (M : Type w)
variable [CommRing R] [LieRing L] [AddCommGroup M] [Module R M]
variable [LieRingModule L M]
/-- A Lie submodule of a Lie module is a submodule that is closed under the Lie bracket.
This is a sufficient condition for the subset itself to form a Lie module. -/
structure LieSubmodule extends Submodule R M where
lie_mem : ∀ {x : L} {m : M}, m ∈ carrier → ⁅x, m⁆ ∈ carrier
attribute [nolint docBlame] LieSubmodule.toSubmodule
attribute [coe] LieSubmodule.toSubmodule
namespace LieSubmodule
variable {R L M}
variable (N N' : LieSubmodule R L M)
instance : SetLike (LieSubmodule R L M) M where
coe s := s.carrier
coe_injective' N O h := by cases N; cases O; congr; exact SetLike.coe_injective' h
instance : AddSubgroupClass (LieSubmodule R L M) M where
add_mem {N} _ _ := N.add_mem'
zero_mem N := N.zero_mem'
neg_mem {N} x hx := show -x ∈ N.toSubmodule from neg_mem hx
instance instSMulMemClass : SMulMemClass (LieSubmodule R L M) R M where
smul_mem {s} c _ h := s.smul_mem' c h
/-- The zero module is a Lie submodule of any Lie module. -/
instance : Zero (LieSubmodule R L M) :=
⟨{ (0 : Submodule R M) with
lie_mem := fun {x m} h ↦ by rw [(Submodule.mem_bot R).1 h]; apply lie_zero }⟩
instance : Inhabited (LieSubmodule R L M) :=
⟨0⟩
instance (priority := high) coeSort : CoeSort (LieSubmodule R L M) (Type w) where
coe N := { x : M // x ∈ N }
instance (priority := mid) coeSubmodule : CoeOut (LieSubmodule R L M) (Submodule R M) :=
⟨toSubmodule⟩
instance : CanLift (Submodule R M) (LieSubmodule R L M) (·)
(fun N ↦ ∀ {x : L} {m : M}, m ∈ N → ⁅x, m⁆ ∈ N) where
prf N hN := ⟨⟨N, hN⟩, rfl⟩
@[norm_cast]
theorem coe_toSubmodule : ((N : Submodule R M) : Set M) = N :=
rfl
theorem mem_carrier {x : M} : x ∈ N.carrier ↔ x ∈ (N : Set M) :=
Iff.rfl
theorem mem_mk_iff (S : Set M) (h₁ h₂ h₃ h₄) {x : M} :
x ∈ (⟨⟨⟨⟨S, h₁⟩, h₂⟩, h₃⟩, h₄⟩ : LieSubmodule R L M) ↔ x ∈ S :=
Iff.rfl
@[simp]
theorem mem_mk_iff' (p : Submodule R M) (h) {x : M} :
x ∈ (⟨p, h⟩ : LieSubmodule R L M) ↔ x ∈ p :=
Iff.rfl
@[simp]
theorem mem_toSubmodule {x : M} : x ∈ (N : Submodule R M) ↔ x ∈ N :=
Iff.rfl
@[deprecated (since := "2024-12-30")] alias mem_coeSubmodule := mem_toSubmodule
theorem mem_coe {x : M} : x ∈ (N : Set M) ↔ x ∈ N :=
Iff.rfl
@[simp]
protected theorem zero_mem : (0 : M) ∈ N :=
zero_mem N
@[simp]
theorem mk_eq_zero {x} (h : x ∈ N) : (⟨x, h⟩ : N) = 0 ↔ x = 0 :=
Subtype.ext_iff_val
@[simp]
theorem coe_toSet_mk (S : Set M) (h₁ h₂ h₃ h₄) :
((⟨⟨⟨⟨S, h₁⟩, h₂⟩, h₃⟩, h₄⟩ : LieSubmodule R L M) : Set M) = S :=
rfl
theorem toSubmodule_mk (p : Submodule R M) (h) :
(({ p with lie_mem := h } : LieSubmodule R L M) : Submodule R M) = p := by cases p; rfl
@[deprecated (since := "2024-12-30")] alias coe_toSubmodule_mk := toSubmodule_mk
theorem toSubmodule_injective :
Function.Injective (toSubmodule : LieSubmodule R L M → Submodule R M) := fun x y h ↦ by
cases x; cases y; congr
@[deprecated (since := "2024-12-30")] alias coeSubmodule_injective := toSubmodule_injective
@[ext]
theorem ext (h : ∀ m, m ∈ N ↔ m ∈ N') : N = N' :=
SetLike.ext h
@[simp]
theorem toSubmodule_inj : (N : Submodule R M) = (N' : Submodule R M) ↔ N = N' :=
toSubmodule_injective.eq_iff
@[deprecated (since := "2024-12-30")] alias coe_toSubmodule_inj := toSubmodule_inj
@[deprecated (since := "2024-12-29")] alias toSubmodule_eq_iff := toSubmodule_inj
/-- Copy of a `LieSubmodule` with a new `carrier` equal to the old one. Useful to fix definitional
equalities. -/
protected def copy (s : Set M) (hs : s = ↑N) : LieSubmodule R L M where
carrier := s
zero_mem' := by simp [hs]
add_mem' x y := by rw [hs] at x y ⊢; exact N.add_mem' x y
smul_mem' := by exact hs.symm ▸ N.smul_mem'
lie_mem := by exact hs.symm ▸ N.lie_mem
@[simp]
theorem coe_copy (S : LieSubmodule R L M) (s : Set M) (hs : s = ↑S) : (S.copy s hs : Set M) = s :=
rfl
theorem copy_eq (S : LieSubmodule R L M) (s : Set M) (hs : s = ↑S) : S.copy s hs = S :=
SetLike.coe_injective hs
instance : LieRingModule L N where
bracket (x : L) (m : N) := ⟨⁅x, m.val⁆, N.lie_mem m.property⟩
add_lie := by intro x y m; apply SetCoe.ext; apply add_lie
lie_add := by intro x m n; apply SetCoe.ext; apply lie_add
leibniz_lie := by intro x y m; apply SetCoe.ext; apply leibniz_lie
@[simp, norm_cast]
theorem coe_zero : ((0 : N) : M) = (0 : M) :=
rfl
@[simp, norm_cast]
theorem coe_add (m m' : N) : (↑(m + m') : M) = (m : M) + (m' : M) :=
rfl
@[simp, norm_cast]
theorem coe_neg (m : N) : (↑(-m) : M) = -(m : M) :=
rfl
@[simp, norm_cast]
theorem coe_sub (m m' : N) : (↑(m - m') : M) = (m : M) - (m' : M) :=
rfl
@[simp, norm_cast]
theorem coe_smul (t : R) (m : N) : (↑(t • m) : M) = t • (m : M) :=
rfl
@[simp, norm_cast]
theorem coe_bracket (x : L) (m : N) :
(↑⁅x, m⁆ : M) = ⁅x, ↑m⁆ :=
rfl
-- Copying instances from `Submodule` for correct discrimination keys
instance [IsNoetherian R M] (N : LieSubmodule R L M) : IsNoetherian R N :=
inferInstanceAs <| IsNoetherian R N.toSubmodule
instance [IsArtinian R M] (N : LieSubmodule R L M) : IsArtinian R N :=
inferInstanceAs <| IsArtinian R N.toSubmodule
instance [NoZeroSMulDivisors R M] : NoZeroSMulDivisors R N :=
inferInstanceAs <| NoZeroSMulDivisors R N.toSubmodule
variable [LieAlgebra R L] [LieModule R L M]
instance instLieModule : LieModule R L N where
lie_smul := by intro t x y; apply SetCoe.ext; apply lie_smul
smul_lie := by intro t x y; apply SetCoe.ext; apply smul_lie
instance [Subsingleton M] : Unique (LieSubmodule R L M) :=
⟨⟨0⟩, fun _ ↦ (toSubmodule_inj _ _).mp (Subsingleton.elim _ _)⟩
end LieSubmodule
variable {R M}
theorem Submodule.exists_lieSubmodule_coe_eq_iff (p : Submodule R M) :
(∃ N : LieSubmodule R L M, ↑N = p) ↔ ∀ (x : L) (m : M), m ∈ p → ⁅x, m⁆ ∈ p := by
constructor
· rintro ⟨N, rfl⟩ _ _; exact N.lie_mem
· intro h; use { p with lie_mem := @h }
namespace LieSubalgebra
variable {L}
variable [LieAlgebra R L]
variable (K : LieSubalgebra R L)
/-- Given a Lie subalgebra `K ⊆ L`, if we view `L` as a `K`-module by restriction, it contains
a distinguished Lie submodule for the action of `K`, namely `K` itself. -/
def toLieSubmodule : LieSubmodule R K L :=
{ (K : Submodule R L) with lie_mem := fun {x _} hy ↦ K.lie_mem x.property hy }
@[simp]
theorem coe_toLieSubmodule : (K.toLieSubmodule : Submodule R L) = K := rfl
variable {K}
@[simp]
theorem mem_toLieSubmodule (x : L) : x ∈ K.toLieSubmodule ↔ x ∈ K :=
Iff.rfl
end LieSubalgebra
end LieSubmodule
namespace LieSubmodule
variable {R : Type u} {L : Type v} {M : Type w}
variable [CommRing R] [LieRing L] [AddCommGroup M] [Module R M]
variable [LieRingModule L M]
variable (N N' : LieSubmodule R L M)
section LatticeStructure
open Set
theorem coe_injective : Function.Injective ((↑) : LieSubmodule R L M → Set M) :=
SetLike.coe_injective
@[simp, norm_cast]
theorem toSubmodule_le_toSubmodule : (N : Submodule R M) ≤ N' ↔ N ≤ N' :=
Iff.rfl
@[deprecated (since := "2024-12-30")]
alias coeSubmodule_le_coeSubmodule := toSubmodule_le_toSubmodule
instance : Bot (LieSubmodule R L M) :=
⟨0⟩
instance instUniqueBot : Unique (⊥ : LieSubmodule R L M) :=
inferInstanceAs <| Unique (⊥ : Submodule R M)
@[simp]
theorem bot_coe : ((⊥ : LieSubmodule R L M) : Set M) = {0} :=
rfl
@[simp]
theorem bot_toSubmodule : ((⊥ : LieSubmodule R L M) : Submodule R M) = ⊥ :=
rfl
@[deprecated (since := "2024-12-30")] alias bot_coeSubmodule := bot_toSubmodule
@[simp]
theorem toSubmodule_eq_bot : (N : Submodule R M) = ⊥ ↔ N = ⊥ := by
rw [← toSubmodule_inj, bot_toSubmodule]
@[deprecated (since := "2024-12-30")] alias coeSubmodule_eq_bot_iff := toSubmodule_eq_bot
@[simp] theorem mk_eq_bot_iff {N : Submodule R M} {h} :
(⟨N, h⟩ : LieSubmodule R L M) = ⊥ ↔ N = ⊥ := by
rw [← toSubmodule_inj, bot_toSubmodule]
@[simp]
theorem mem_bot (x : M) : x ∈ (⊥ : LieSubmodule R L M) ↔ x = 0 :=
mem_singleton_iff
instance : Top (LieSubmodule R L M) :=
⟨{ (⊤ : Submodule R M) with lie_mem := fun {x m} _ ↦ mem_univ ⁅x, m⁆ }⟩
@[simp]
theorem top_coe : ((⊤ : LieSubmodule R L M) : Set M) = univ :=
rfl
@[simp]
theorem top_toSubmodule : ((⊤ : LieSubmodule R L M) : Submodule R M) = ⊤ :=
rfl
@[deprecated (since := "2024-12-30")] alias top_coeSubmodule := top_toSubmodule
@[simp]
theorem toSubmodule_eq_top : (N : Submodule R M) = ⊤ ↔ N = ⊤ := by
rw [← toSubmodule_inj, top_toSubmodule]
@[deprecated (since := "2024-12-30")] alias coeSubmodule_eq_top_iff := toSubmodule_eq_top
@[simp] theorem mk_eq_top_iff {N : Submodule R M} {h} :
(⟨N, h⟩ : LieSubmodule R L M) = ⊤ ↔ N = ⊤ := by
rw [← toSubmodule_inj, top_toSubmodule]
@[simp]
theorem mem_top (x : M) : x ∈ (⊤ : LieSubmodule R L M) :=
mem_univ x
instance : Min (LieSubmodule R L M) :=
⟨fun N N' ↦
{ (N ⊓ N' : Submodule R M) with
lie_mem := fun h ↦ mem_inter (N.lie_mem h.1) (N'.lie_mem h.2) }⟩
instance : InfSet (LieSubmodule R L M) :=
⟨fun S ↦
{ toSubmodule := sInf {(s : Submodule R M) | s ∈ S}
lie_mem := fun {x m} h ↦ by
simp only [Submodule.mem_carrier, mem_iInter, Submodule.sInf_coe, mem_setOf_eq,
forall_apply_eq_imp_iff₂, forall_exists_index, and_imp] at h ⊢
intro N hN; apply N.lie_mem (h N hN) }⟩
@[simp]
theorem inf_coe : (↑(N ⊓ N') : Set M) = ↑N ∩ ↑N' :=
rfl
@[norm_cast, simp]
theorem inf_toSubmodule :
(↑(N ⊓ N') : Submodule R M) = (N : Submodule R M) ⊓ (N' : Submodule R M) :=
rfl
@[deprecated (since := "2024-12-30")] alias inf_coe_toSubmodule := inf_toSubmodule
@[simp]
theorem sInf_toSubmodule (S : Set (LieSubmodule R L M)) :
(↑(sInf S) : Submodule R M) = sInf {(s : Submodule R M) | s ∈ S} :=
rfl
@[deprecated (since := "2024-12-30")] alias sInf_coe_toSubmodule := sInf_toSubmodule
theorem sInf_toSubmodule_eq_iInf (S : Set (LieSubmodule R L M)) :
(↑(sInf S) : Submodule R M) = ⨅ N ∈ S, (N : Submodule R M) := by
rw [sInf_toSubmodule, ← Set.image, sInf_image]
@[deprecated (since := "2024-12-30")] alias sInf_coe_toSubmodule' := sInf_toSubmodule_eq_iInf
@[simp]
theorem iInf_toSubmodule {ι} (p : ι → LieSubmodule R L M) :
(↑(⨅ i, p i) : Submodule R M) = ⨅ i, (p i : Submodule R M) := by
rw [iInf, sInf_toSubmodule]; ext; simp
@[deprecated (since := "2024-12-30")] alias iInf_coe_toSubmodule := iInf_toSubmodule
@[simp]
theorem sInf_coe (S : Set (LieSubmodule R L M)) : (↑(sInf S) : Set M) = ⋂ s ∈ S, (s : Set M) := by
rw [← LieSubmodule.coe_toSubmodule, sInf_toSubmodule, Submodule.sInf_coe]
ext m
simp only [mem_iInter, mem_setOf_eq, forall_apply_eq_imp_iff₂, exists_imp,
and_imp, SetLike.mem_coe, mem_toSubmodule]
@[simp]
theorem iInf_coe {ι} (p : ι → LieSubmodule R L M) : (↑(⨅ i, p i) : Set M) = ⋂ i, ↑(p i) := by
rw [iInf, sInf_coe]; simp only [Set.mem_range, Set.iInter_exists, Set.iInter_iInter_eq']
@[simp]
theorem mem_iInf {ι} (p : ι → LieSubmodule R L M) {x} : (x ∈ ⨅ i, p i) ↔ ∀ i, x ∈ p i := by
rw [← SetLike.mem_coe, iInf_coe, Set.mem_iInter]; rfl
instance : Max (LieSubmodule R L M) where
max N N' :=
{ toSubmodule := (N : Submodule R M) ⊔ (N' : Submodule R M)
lie_mem := by
rintro x m (hm : m ∈ (N : Submodule R M) ⊔ (N' : Submodule R M))
change ⁅x, m⁆ ∈ (N : Submodule R M) ⊔ (N' : Submodule R M)
rw [Submodule.mem_sup] at hm ⊢
obtain ⟨y, hy, z, hz, rfl⟩ := hm
exact ⟨⁅x, y⁆, N.lie_mem hy, ⁅x, z⁆, N'.lie_mem hz, (lie_add _ _ _).symm⟩ }
instance : SupSet (LieSubmodule R L M) where
sSup S :=
{ toSubmodule := sSup {(p : Submodule R M) | p ∈ S}
lie_mem := by
intro x m (hm : m ∈ sSup {(p : Submodule R M) | p ∈ S})
change ⁅x, m⁆ ∈ sSup {(p : Submodule R M) | p ∈ S}
obtain ⟨s, hs, hsm⟩ := Submodule.mem_sSup_iff_exists_finset.mp hm
clear hm
classical
induction s using Finset.induction_on generalizing m with
| empty =>
replace hsm : m = 0 := by simpa using hsm
simp [hsm]
| insert q t hqt ih =>
rw [Finset.iSup_insert] at hsm
obtain ⟨m', hm', u, hu, rfl⟩ := Submodule.mem_sup.mp hsm
rw [lie_add]
refine add_mem ?_ (ih (Subset.trans (by simp) hs) hu)
obtain ⟨p, hp, rfl⟩ : ∃ p ∈ S, ↑p = q := hs (Finset.mem_insert_self q t)
suffices p ≤ sSup {(p : Submodule R M) | p ∈ S} by exact this (p.lie_mem hm')
exact le_sSup ⟨p, hp, rfl⟩ }
@[norm_cast, simp]
theorem sup_toSubmodule :
(↑(N ⊔ N') : Submodule R M) = (N : Submodule R M) ⊔ (N' : Submodule R M) := by
rfl
@[deprecated (since := "2024-12-30")] alias sup_coe_toSubmodule := sup_toSubmodule
@[simp]
theorem sSup_toSubmodule (S : Set (LieSubmodule R L M)) :
(↑(sSup S) : Submodule R M) = sSup {(s : Submodule R M) | s ∈ S} :=
rfl
@[deprecated (since := "2024-12-30")] alias sSup_coe_toSubmodule := sSup_toSubmodule
theorem sSup_toSubmodule_eq_iSup (S : Set (LieSubmodule R L M)) :
(↑(sSup S) : Submodule R M) = ⨆ N ∈ S, (N : Submodule R M) := by
rw [sSup_toSubmodule, ← Set.image, sSup_image]
@[deprecated (since := "2024-12-30")] alias sSup_coe_toSubmodule' := sSup_toSubmodule_eq_iSup
@[simp]
theorem iSup_toSubmodule {ι} (p : ι → LieSubmodule R L M) :
(↑(⨆ i, p i) : Submodule R M) = ⨆ i, (p i : Submodule R M) := by
rw [iSup, sSup_toSubmodule]; ext; simp [Submodule.mem_sSup, Submodule.mem_iSup]
@[deprecated (since := "2024-12-30")] alias iSup_coe_toSubmodule := iSup_toSubmodule
/-- The set of Lie submodules of a Lie module form a complete lattice. -/
instance : CompleteLattice (LieSubmodule R L M) :=
{ toSubmodule_injective.completeLattice toSubmodule sup_toSubmodule inf_toSubmodule
sSup_toSubmodule_eq_iSup sInf_toSubmodule_eq_iInf rfl rfl with
toPartialOrder := SetLike.instPartialOrder }
theorem mem_iSup_of_mem {ι} {b : M} {N : ι → LieSubmodule R L M} (i : ι) (h : b ∈ N i) :
b ∈ ⨆ i, N i :=
(le_iSup N i) h
@[elab_as_elim]
lemma iSup_induction {ι} (N : ι → LieSubmodule R L M) {motive : M → Prop} {x : M}
(hx : x ∈ ⨆ i, N i) (mem : ∀ i, ∀ y ∈ N i, motive y) (zero : motive 0)
(add : ∀ y z, motive y → motive z → motive (y + z)) : motive x := by
rw [← LieSubmodule.mem_toSubmodule, LieSubmodule.iSup_toSubmodule] at hx
exact Submodule.iSup_induction (motive := motive) (fun i ↦ (N i : Submodule R M)) hx mem zero add
@[elab_as_elim]
theorem iSup_induction' {ι} (N : ι → LieSubmodule R L M) {motive : (x : M) → (x ∈ ⨆ i, N i) → Prop}
(mem : ∀ (i) (x) (hx : x ∈ N i), motive x (mem_iSup_of_mem i hx)) (zero : motive 0 (zero_mem _))
(add : ∀ x y hx hy, motive x hx → motive y hy → motive (x + y) (add_mem ‹_› ‹_›)) {x : M}
(hx : x ∈ ⨆ i, N i) : motive x hx := by
refine Exists.elim ?_ fun (hx : x ∈ ⨆ i, N i) (hc : motive x hx) => hc
refine iSup_induction N (motive := fun x : M ↦ ∃ (hx : x ∈ ⨆ i, N i), motive x hx) hx
(fun i x hx => ?_) ?_ fun x y => ?_
· exact ⟨_, mem _ _ hx⟩
· exact ⟨_, zero⟩
· rintro ⟨_, Cx⟩ ⟨_, Cy⟩
exact ⟨_, add _ _ _ _ Cx Cy⟩
variable {N N'}
@[simp] lemma disjoint_toSubmodule :
Disjoint (N : Submodule R M) (N' : Submodule R M) ↔ Disjoint N N' := by
rw [disjoint_iff, disjoint_iff, ← toSubmodule_inj, inf_toSubmodule, bot_toSubmodule,
← disjoint_iff]
@[deprecated disjoint_toSubmodule (since := "2025-04-03")]
theorem disjoint_iff_toSubmodule :
Disjoint N N' ↔ Disjoint (N : Submodule R M) (N' : Submodule R M) := disjoint_toSubmodule.symm
@[deprecated (since := "2024-12-30")] alias disjoint_iff_coe_toSubmodule := disjoint_iff_toSubmodule
@[simp] lemma codisjoint_toSubmodule :
Codisjoint (N : Submodule R M) (N' : Submodule R M) ↔ Codisjoint N N' := by
rw [codisjoint_iff, codisjoint_iff, ← toSubmodule_inj, sup_toSubmodule,
top_toSubmodule, ← codisjoint_iff]
@[deprecated codisjoint_toSubmodule (since := "2025-04-03")]
theorem codisjoint_iff_toSubmodule :
Codisjoint N N' ↔ Codisjoint (N : Submodule R M) (N' : Submodule R M) :=
codisjoint_toSubmodule.symm
@[deprecated (since := "2024-12-30")]
alias codisjoint_iff_coe_toSubmodule := codisjoint_iff_toSubmodule
@[simp] lemma isCompl_toSubmodule :
IsCompl (N : Submodule R M) (N' : Submodule R M) ↔ IsCompl N N' := by
simp [isCompl_iff]
@[deprecated isCompl_toSubmodule (since := "2025-04-03")]
theorem isCompl_iff_toSubmodule :
IsCompl N N' ↔ IsCompl (N : Submodule R M) (N' : Submodule R M) := isCompl_toSubmodule.symm
@[deprecated (since := "2024-12-30")] alias isCompl_iff_coe_toSubmodule := isCompl_iff_toSubmodule
@[simp] lemma iSupIndep_toSubmodule {ι : Type*} {N : ι → LieSubmodule R L M} :
iSupIndep (fun i ↦ (N i : Submodule R M)) ↔ iSupIndep N := by
simp [iSupIndep_def, ← disjoint_toSubmodule]
@[deprecated iSupIndep_toSubmodule (since := "2025-04-03")]
theorem iSupIndep_iff_toSubmodule {ι : Type*} {N : ι → LieSubmodule R L M} :
iSupIndep N ↔ iSupIndep fun i ↦ (N i : Submodule R M) := iSupIndep_toSubmodule.symm
@[deprecated (since := "2024-12-30")]
alias iSupIndep_iff_coe_toSubmodule := iSupIndep_iff_toSubmodule
@[deprecated (since := "2024-11-24")]
alias independent_iff_toSubmodule := iSupIndep_iff_toSubmodule
@[deprecated (since := "2024-12-30")]
alias independent_iff_coe_toSubmodule := independent_iff_toSubmodule
@[simp] lemma iSup_toSubmodule_eq_top {ι : Sort*} {N : ι → LieSubmodule R L M} :
⨆ i, (N i : Submodule R M) = ⊤ ↔ ⨆ i, N i = ⊤ := by
rw [← iSup_toSubmodule, ← top_toSubmodule (L := L), toSubmodule_inj]
@[deprecated iSup_toSubmodule_eq_top (since := "2025-04-03")]
theorem iSup_eq_top_iff_toSubmodule {ι : Sort*} {N : ι → LieSubmodule R L M} :
⨆ i, N i = ⊤ ↔ ⨆ i, (N i : Submodule R M) = ⊤ := iSup_toSubmodule_eq_top.symm
@[deprecated (since := "2024-12-30")]
alias iSup_eq_top_iff_coe_toSubmodule := iSup_eq_top_iff_toSubmodule
instance : Add (LieSubmodule R L M) where add := max
instance : Zero (LieSubmodule R L M) where zero := ⊥
instance : AddCommMonoid (LieSubmodule R L M) where
add_assoc := sup_assoc
zero_add := bot_sup_eq
add_zero := sup_bot_eq
add_comm := sup_comm
nsmul := nsmulRec
variable (N N')
@[simp]
theorem add_eq_sup : N + N' = N ⊔ N' :=
rfl
@[simp]
theorem mem_inf (x : M) : x ∈ N ⊓ N' ↔ x ∈ N ∧ x ∈ N' := by
rw [← mem_toSubmodule, ← mem_toSubmodule, ← mem_toSubmodule, inf_toSubmodule,
Submodule.mem_inf]
theorem mem_sup (x : M) : x ∈ N ⊔ N' ↔ ∃ y ∈ N, ∃ z ∈ N', y + z = x := by
rw [← mem_toSubmodule, sup_toSubmodule, Submodule.mem_sup]; exact Iff.rfl
nonrec theorem eq_bot_iff : N = ⊥ ↔ ∀ m : M, m ∈ N → m = 0 := by rw [eq_bot_iff]; exact Iff.rfl
instance subsingleton_of_bot : Subsingleton (LieSubmodule R L (⊥ : LieSubmodule R L M)) := by
apply subsingleton_of_bot_eq_top
ext ⟨_, hx⟩
simp only [mem_bot, mk_eq_zero, mem_top, iff_true]
exact hx
instance : IsModularLattice (LieSubmodule R L M) where
sup_inf_le_assoc_of_le _ _ := by
simp only [← toSubmodule_le_toSubmodule, sup_toSubmodule, inf_toSubmodule]
exact IsModularLattice.sup_inf_le_assoc_of_le _
variable (R L M)
/-- The natural functor that forgets the action of `L` as an order embedding. -/
@[simps] def toSubmodule_orderEmbedding : LieSubmodule R L M ↪o Submodule R M :=
{ toFun := (↑)
inj' := toSubmodule_injective
map_rel_iff' := Iff.rfl }
instance wellFoundedGT_of_noetherian [IsNoetherian R M] : WellFoundedGT (LieSubmodule R L M) :=
RelHomClass.isWellFounded (toSubmodule_orderEmbedding R L M).dual.ltEmbedding
theorem wellFoundedLT_of_isArtinian [IsArtinian R M] : WellFoundedLT (LieSubmodule R L M) :=
RelHomClass.isWellFounded (toSubmodule_orderEmbedding R L M).ltEmbedding
instance [IsArtinian R M] : IsAtomic (LieSubmodule R L M) :=
isAtomic_of_orderBot_wellFounded_lt <| (wellFoundedLT_of_isArtinian R L M).wf
@[simp]
theorem subsingleton_iff : Subsingleton (LieSubmodule R L M) ↔ Subsingleton M :=
have h : Subsingleton (LieSubmodule R L M) ↔ Subsingleton (Submodule R M) := by
rw [← subsingleton_iff_bot_eq_top, ← subsingleton_iff_bot_eq_top, ← toSubmodule_inj,
top_toSubmodule, bot_toSubmodule]
h.trans <| Submodule.subsingleton_iff R
@[simp]
theorem nontrivial_iff : Nontrivial (LieSubmodule R L M) ↔ Nontrivial M :=
not_iff_not.mp
((not_nontrivial_iff_subsingleton.trans <| subsingleton_iff R L M).trans
not_nontrivial_iff_subsingleton.symm)
instance [Nontrivial M] : Nontrivial (LieSubmodule R L M) :=
(nontrivial_iff R L M).mpr ‹_›
theorem nontrivial_iff_ne_bot {N : LieSubmodule R L M} : Nontrivial N ↔ N ≠ ⊥ := by
constructor <;> contrapose!
· rintro rfl
⟨⟨m₁, h₁ : m₁ ∈ (⊥ : LieSubmodule R L M)⟩, ⟨m₂, h₂ : m₂ ∈ (⊥ : LieSubmodule R L M)⟩, h₁₂⟩
simp [(LieSubmodule.mem_bot _).mp h₁, (LieSubmodule.mem_bot _).mp h₂] at h₁₂
· rw [not_nontrivial_iff_subsingleton, LieSubmodule.eq_bot_iff]
rintro ⟨h⟩ m hm
simpa using h ⟨m, hm⟩ ⟨_, N.zero_mem⟩
variable {R L M}
section InclusionMaps
/-- The inclusion of a Lie submodule into its ambient space is a morphism of Lie modules. -/
def incl : N →ₗ⁅R,L⁆ M :=
{ Submodule.subtype (N : Submodule R M) with map_lie' := fun {_ _} ↦ rfl }
@[simp]
theorem incl_coe : (N.incl : N →ₗ[R] M) = (N : Submodule R M).subtype :=
rfl
@[simp]
theorem incl_apply (m : N) : N.incl m = m :=
rfl
theorem incl_eq_val : (N.incl : N → M) = Subtype.val :=
rfl
theorem injective_incl : Function.Injective N.incl := Subtype.coe_injective
variable {N N'}
variable (h : N ≤ N')
/-- Given two nested Lie submodules `N ⊆ N'`,
the inclusion `N ↪ N'` is a morphism of Lie modules. -/
def inclusion : N →ₗ⁅R,L⁆ N' where
__ := Submodule.inclusion (show N.toSubmodule ≤ N'.toSubmodule from h)
map_lie' := rfl
@[simp]
theorem coe_inclusion (m : N) : (inclusion h m : M) = m :=
rfl
theorem inclusion_apply (m : N) : inclusion h m = ⟨m.1, h m.2⟩ :=
rfl
theorem inclusion_injective : Function.Injective (inclusion h) := fun x y ↦ by
simp only [inclusion_apply, imp_self, Subtype.mk_eq_mk, SetLike.coe_eq_coe]
end InclusionMaps
section LieSpan
variable (R L) (s : Set M)
/-- The `lieSpan` of a set `s ⊆ M` is the smallest Lie submodule of `M` that contains `s`. -/
def lieSpan : LieSubmodule R L M :=
sInf { N | s ⊆ N }
variable {R L s}
theorem mem_lieSpan {x : M} : x ∈ lieSpan R L s ↔ ∀ N : LieSubmodule R L M, s ⊆ N → x ∈ N := by
rw [← SetLike.mem_coe, lieSpan, sInf_coe]
exact mem_iInter₂
theorem subset_lieSpan : s ⊆ lieSpan R L s := by
intro m hm
rw [SetLike.mem_coe, mem_lieSpan]
intro N hN
exact hN hm
theorem submodule_span_le_lieSpan : Submodule.span R s ≤ lieSpan R L s := by
rw [Submodule.span_le]
apply subset_lieSpan
@[simp]
theorem lieSpan_le {N} : lieSpan R L s ≤ N ↔ s ⊆ N := by
constructor
· exact Subset.trans subset_lieSpan
· intro hs m hm; rw [mem_lieSpan] at hm; exact hm _ hs
theorem lieSpan_mono {t : Set M} (h : s ⊆ t) : lieSpan R L s ≤ lieSpan R L t := by
rw [lieSpan_le]
exact Subset.trans h subset_lieSpan
theorem lieSpan_eq (N : LieSubmodule R L M) : lieSpan R L (N : Set M) = N :=
le_antisymm (lieSpan_le.mpr rfl.subset) subset_lieSpan
theorem coe_lieSpan_submodule_eq_iff {p : Submodule R M} :
(lieSpan R L (p : Set M) : Submodule R M) = p ↔ ∃ N : LieSubmodule R L M, ↑N = p := by
rw [p.exists_lieSubmodule_coe_eq_iff L]; constructor <;> intro h
· intro x m hm; rw [← h, mem_toSubmodule]; exact lie_mem _ (subset_lieSpan hm)
· rw [← toSubmodule_mk p @h, coe_toSubmodule, toSubmodule_inj, lieSpan_eq]
variable (R L M)
/-- `lieSpan` forms a Galois insertion with the coercion from `LieSubmodule` to `Set`. -/
protected def gi : GaloisInsertion (lieSpan R L : Set M → LieSubmodule R L M) (↑) where
choice s _ := lieSpan R L s
gc _ _ := lieSpan_le
le_l_u _ := subset_lieSpan
choice_eq _ _ := rfl
@[simp]
theorem span_empty : lieSpan R L (∅ : Set M) = ⊥ :=
(LieSubmodule.gi R L M).gc.l_bot
@[simp]
theorem span_univ : lieSpan R L (Set.univ : Set M) = ⊤ :=
eq_top_iff.2 <| SetLike.le_def.2 <| subset_lieSpan
theorem lieSpan_eq_bot_iff : lieSpan R L s = ⊥ ↔ ∀ m ∈ s, m = (0 : M) := by
rw [_root_.eq_bot_iff, lieSpan_le, bot_coe, subset_singleton_iff]
variable {M}
theorem span_union (s t : Set M) : lieSpan R L (s ∪ t) = lieSpan R L s ⊔ lieSpan R L t :=
(LieSubmodule.gi R L M).gc.l_sup
theorem span_iUnion {ι} (s : ι → Set M) : lieSpan R L (⋃ i, s i) = ⨆ i, lieSpan R L (s i) :=
(LieSubmodule.gi R L M).gc.l_iSup
/-- An induction principle for span membership. If `p` holds for 0 and all elements of `s`, and is
preserved under addition, scalar multiplication and the Lie bracket, then `p` holds for all
elements of the Lie submodule spanned by `s`. -/
@[elab_as_elim]
theorem lieSpan_induction {p : (x : M) → x ∈ lieSpan R L s → Prop}
(mem : ∀ (x) (h : x ∈ s), p x (subset_lieSpan h))
(zero : p 0 (LieSubmodule.zero_mem _))
(add : ∀ x y hx hy, p x hx → p y hy → p (x + y) (add_mem ‹_› ‹_›))
(smul : ∀ (a : R) (x hx), p x hx → p (a • x) (SMulMemClass.smul_mem _ hx)) {x}
(lie : ∀ (x : L) (y hy), p y hy → p (⁅x, y⁆) (LieSubmodule.lie_mem _ ‹_›))
(hx : x ∈ lieSpan R L s) : p x hx := by
let p : LieSubmodule R L M :=
{ carrier := { x | ∃ hx, p x hx }
add_mem' := fun ⟨_, hpx⟩ ⟨_, hpy⟩ ↦ ⟨_, add _ _ _ _ hpx hpy⟩
zero_mem' := ⟨_, zero⟩
smul_mem' := fun r ↦ fun ⟨_, hpx⟩ ↦ ⟨_, smul r _ _ hpx⟩
lie_mem := fun ⟨_, hpy⟩ ↦ ⟨_, lie _ _ _ hpy⟩ }
exact lieSpan_le (N := p) |>.mpr (fun y hy ↦ ⟨subset_lieSpan hy, mem y hy⟩) hx |>.elim fun _ ↦ id
lemma isCompactElement_lieSpan_singleton (m : M) :
CompleteLattice.IsCompactElement (lieSpan R L {m}) := by
rw [CompleteLattice.isCompactElement_iff_le_of_directed_sSup_le]
intro s hne hdir hsup
replace hsup : m ∈ (↑(sSup s) : Set M) := (SetLike.le_def.mp hsup) (subset_lieSpan rfl)
suffices (↑(sSup s) : Set M) = ⋃ N ∈ s, ↑N by
obtain ⟨N : LieSubmodule R L M, hN : N ∈ s, hN' : m ∈ N⟩ := by
simp_rw [this, Set.mem_iUnion, SetLike.mem_coe, exists_prop] at hsup; assumption
exact ⟨N, hN, by simpa⟩
replace hne : Nonempty s := Set.nonempty_coe_sort.mpr hne
have := Submodule.coe_iSup_of_directed _ hdir.directed_val
simp_rw [← iSup_toSubmodule, Set.iUnion_coe_set, coe_toSubmodule] at this
rw [← this, SetLike.coe_set_eq, sSup_eq_iSup, iSup_subtype]
@[simp]
lemma sSup_image_lieSpan_singleton : sSup ((fun x ↦ lieSpan R L {x}) '' N) = N := by
refine le_antisymm (sSup_le <| by simp) ?_
simp_rw [← toSubmodule_le_toSubmodule, sSup_toSubmodule, Set.mem_image, SetLike.mem_coe]
refine fun m hm ↦ Submodule.mem_sSup.mpr fun N' hN' ↦ ?_
replace hN' : ∀ m ∈ N, lieSpan R L {m} ≤ N' := by simpa using hN'
exact hN' _ hm (subset_lieSpan rfl)
instance instIsCompactlyGenerated : IsCompactlyGenerated (LieSubmodule R L M) :=
⟨fun N ↦ ⟨(fun x ↦ lieSpan R L {x}) '' N, fun _ ⟨m, _, hm⟩ ↦
hm ▸ isCompactElement_lieSpan_singleton R L m, N.sSup_image_lieSpan_singleton⟩⟩
end LieSpan
end LatticeStructure
end LieSubmodule
section LieSubmoduleMapAndComap
variable {R : Type u} {L : Type v} {L' : Type w₂} {M : Type w} {M' : Type w₁}
variable [CommRing R] [LieRing L] [LieRing L'] [LieAlgebra R L']
variable [AddCommGroup M] [Module R M] [LieRingModule L M]
variable [AddCommGroup M'] [Module R M'] [LieRingModule L M']
namespace LieSubmodule
variable (f : M →ₗ⁅R,L⁆ M') (N N₂ : LieSubmodule R L M) (N' : LieSubmodule R L M')
/-- A morphism of Lie modules `f : M → M'` pushes forward Lie submodules of `M` to Lie submodules
of `M'`. -/
def map : LieSubmodule R L M' :=
{ (N : Submodule R M).map (f : M →ₗ[R] M') with
lie_mem := fun {x m'} h ↦ by
rcases h with ⟨m, hm, hfm⟩; use ⁅x, m⁆; constructor
· apply N.lie_mem hm
· norm_cast at hfm; simp [hfm] }
@[simp] theorem coe_map : (N.map f : Set M') = f '' N := rfl
@[simp]
theorem toSubmodule_map : (N.map f : Submodule R M') = (N : Submodule R M).map (f : M →ₗ[R] M') :=
rfl
@[deprecated (since := "2024-12-30")] alias coeSubmodule_map := toSubmodule_map
/-- A morphism of Lie modules `f : M → M'` pulls back Lie submodules of `M'` to Lie submodules of
`M`. -/
def comap : LieSubmodule R L M :=
{ (N' : Submodule R M').comap (f : M →ₗ[R] M') with
lie_mem := fun {x m} h ↦ by
suffices ⁅x, f m⁆ ∈ N' by simp [this]
apply N'.lie_mem h }
@[simp]
theorem toSubmodule_comap :
(N'.comap f : Submodule R M) = (N' : Submodule R M').comap (f : M →ₗ[R] M') :=
rfl
@[deprecated (since := "2024-12-30")] alias coeSubmodule_comap := toSubmodule_comap
variable {f N N₂ N'}
theorem map_le_iff_le_comap : map f N ≤ N' ↔ N ≤ comap f N' :=
Set.image_subset_iff
variable (f) in
theorem gc_map_comap : GaloisConnection (map f) (comap f) := fun _ _ ↦ map_le_iff_le_comap
theorem map_inf_le : (N ⊓ N₂).map f ≤ N.map f ⊓ N₂.map f :=
Set.image_inter_subset f N N₂
theorem map_inf (hf : Function.Injective f) :
(N ⊓ N₂).map f = N.map f ⊓ N₂.map f :=
SetLike.coe_injective <| Set.image_inter hf
@[simp]
theorem map_sup : (N ⊔ N₂).map f = N.map f ⊔ N₂.map f :=
(gc_map_comap f).l_sup
@[simp]
theorem comap_inf {N₂' : LieSubmodule R L M'} :
(N' ⊓ N₂').comap f = N'.comap f ⊓ N₂'.comap f :=
rfl
@[simp]
theorem map_iSup {ι : Sort*} (N : ι → LieSubmodule R L M) :
(⨆ i, N i).map f = ⨆ i, (N i).map f :=
(gc_map_comap f : GaloisConnection (map f) (comap f)).l_iSup
@[simp]
theorem mem_map (m' : M') : m' ∈ N.map f ↔ ∃ m, m ∈ N ∧ f m = m' :=
Submodule.mem_map
theorem mem_map_of_mem {m : M} (h : m ∈ N) : f m ∈ N.map f :=
Set.mem_image_of_mem _ h
@[simp]
theorem mem_comap {m : M} : m ∈ comap f N' ↔ f m ∈ N' :=
Iff.rfl
theorem comap_incl_eq_top : N₂.comap N.incl = ⊤ ↔ N ≤ N₂ := by
rw [← LieSubmodule.toSubmodule_inj, LieSubmodule.toSubmodule_comap, LieSubmodule.incl_coe,
LieSubmodule.top_toSubmodule, Submodule.comap_subtype_eq_top, toSubmodule_le_toSubmodule]
theorem comap_incl_eq_bot : N₂.comap N.incl = ⊥ ↔ N ⊓ N₂ = ⊥ := by
simp only [← toSubmodule_inj, toSubmodule_comap, incl_coe, bot_toSubmodule,
inf_toSubmodule]
rw [← Submodule.disjoint_iff_comap_eq_bot, disjoint_iff]
@[gcongr, mono]
theorem map_mono (h : N ≤ N₂) : N.map f ≤ N₂.map f :=
Set.image_subset _ h
theorem map_comp
{M'' : Type*} [AddCommGroup M''] [Module R M''] [LieRingModule L M''] {g : M' →ₗ⁅R,L⁆ M''} :
N.map (g.comp f) = (N.map f).map g :=
SetLike.coe_injective <| by
simp only [← Set.image_comp, coe_map, LinearMap.coe_comp, LieModuleHom.coe_comp]
@[simp]
theorem map_id : N.map LieModuleHom.id = N := by ext; simp
@[simp] theorem map_bot :
(⊥ : LieSubmodule R L M).map f = ⊥ := by
ext m; simp [eq_comm]
lemma map_le_map_iff (hf : Function.Injective f) :
N.map f ≤ N₂.map f ↔ N ≤ N₂ :=
Set.image_subset_image_iff hf
lemma map_injective_of_injective (hf : Function.Injective f) :
Function.Injective (map f) := fun {N N'} h ↦
SetLike.coe_injective <| hf.image_injective <| by simp only [← coe_map, h]
/-- An injective morphism of Lie modules embeds the lattice of submodules of the domain into that
of the target. -/
@[simps] def mapOrderEmbedding {f : M →ₗ⁅R,L⁆ M'} (hf : Function.Injective f) :
LieSubmodule R L M ↪o LieSubmodule R L M' where
toFun := LieSubmodule.map f
inj' := map_injective_of_injective hf
map_rel_iff' := Set.image_subset_image_iff hf
variable (N) in
/-- For an injective morphism of Lie modules, any Lie submodule is equivalent to its image. -/
noncomputable def equivMapOfInjective (hf : Function.Injective f) :
N ≃ₗ⁅R,L⁆ N.map f :=
{ Submodule.equivMapOfInjective (f : M →ₗ[R] M') hf N with
-- Note: https://github.com/leanprover-community/mathlib4/pull/8386 had to specify `invFun` explicitly this way, otherwise we'd get a type mismatch
invFun := by exact DFunLike.coe (Submodule.equivMapOfInjective (f : M →ₗ[R] M') hf N).symm
map_lie' := by rintro x ⟨m, hm : m ∈ N⟩; ext; exact f.map_lie x m }
/-- An equivalence of Lie modules yields an order-preserving equivalence of their lattices of Lie
Submodules. -/
@[simps] def orderIsoMapComap (e : M ≃ₗ⁅R,L⁆ M') :
LieSubmodule R L M ≃o LieSubmodule R L M' where
toFun := map e
invFun := comap e
left_inv := fun N ↦ by ext; simp
right_inv := fun N ↦ by ext; simp [e.apply_eq_iff_eq_symm_apply]
map_rel_iff' := fun {_ _} ↦ Set.image_subset_image_iff e.injective
end LieSubmodule
end LieSubmoduleMapAndComap
namespace LieModuleHom
variable {R : Type u} {L : Type v} {M : Type w} {N : Type w₁}
variable [CommRing R] [LieRing L]
variable [AddCommGroup M] [Module R M] [LieRingModule L M]
variable [AddCommGroup N] [Module R N] [LieRingModule L N]
variable (f : M →ₗ⁅R,L⁆ N)
/-- The kernel of a morphism of Lie algebras, as an ideal in the domain. -/
def ker : LieSubmodule R L M :=
LieSubmodule.comap f ⊥
@[simp]
theorem ker_toSubmodule : (f.ker : Submodule R M) = LinearMap.ker (f : M →ₗ[R] N) :=
rfl
@[deprecated (since := "2024-12-30")] alias ker_coeSubmodule := ker_toSubmodule
theorem ker_eq_bot : f.ker = ⊥ ↔ Function.Injective f := by
rw [← LieSubmodule.toSubmodule_inj, ker_toSubmodule, LieSubmodule.bot_toSubmodule,
LinearMap.ker_eq_bot, coe_toLinearMap]
variable {f}
@[simp]
theorem mem_ker {m : M} : m ∈ f.ker ↔ f m = 0 :=
Iff.rfl
@[simp]
theorem ker_id : (LieModuleHom.id : M →ₗ⁅R,L⁆ M).ker = ⊥ :=
rfl
@[simp]
theorem comp_ker_incl : f.comp f.ker.incl = 0 := by ext ⟨m, hm⟩; exact mem_ker.mp hm
theorem le_ker_iff_map (M' : LieSubmodule R L M) : M' ≤ f.ker ↔ LieSubmodule.map f M' = ⊥ := by
rw [ker, eq_bot_iff, LieSubmodule.map_le_iff_le_comap]
variable (f)
/-- The range of a morphism of Lie modules `f : M → N` is a Lie submodule of `N`.
See Note [range copy pattern]. -/
def range : LieSubmodule R L N :=
(LieSubmodule.map f ⊤).copy (Set.range f) Set.image_univ.symm
@[simp]
theorem coe_range : f.range = Set.range f :=
rfl
@[simp]
theorem toSubmodule_range : f.range = LinearMap.range (f : M →ₗ[R] N) :=
rfl
@[deprecated (since := "2024-12-30")] alias coeSubmodule_range := toSubmodule_range
@[simp]
theorem mem_range (n : N) : n ∈ f.range ↔ ∃ m, f m = n :=
Iff.rfl
@[simp]
theorem map_top : LieSubmodule.map f ⊤ = f.range := by ext; simp [LieSubmodule.mem_map]
theorem range_eq_top : f.range = ⊤ ↔ Function.Surjective f := by
rw [SetLike.ext'_iff, coe_range, LieSubmodule.top_coe, Set.range_eq_univ]
/-- A morphism of Lie modules `f : M → N` whose values lie in a Lie submodule `P ⊆ N` can be
restricted to a morphism of Lie modules `M → P`. -/
def codRestrict (P : LieSubmodule R L N) (f : M →ₗ⁅R,L⁆ N) (h : ∀ m, f m ∈ P) :
M →ₗ⁅R,L⁆ P where
toFun := f.toLinearMap.codRestrict P h
__ := f.toLinearMap.codRestrict P h
map_lie' {x m} := by ext; simp
@[simp]
lemma codRestrict_apply (P : LieSubmodule R L N) (f : M →ₗ⁅R,L⁆ N) (h : ∀ m, f m ∈ P) (m : M) :
(f.codRestrict P h m : N) = f m :=
rfl
end LieModuleHom
namespace LieSubmodule
variable {R : Type u} {L : Type v} {M : Type w}
variable [CommRing R] [LieRing L]
variable [AddCommGroup M] [Module R M] [LieRingModule L M]
variable (N : LieSubmodule R L M)
@[simp]
theorem ker_incl : N.incl.ker = ⊥ := (LieModuleHom.ker_eq_bot N.incl).mpr <| injective_incl N
@[simp]
theorem range_incl : N.incl.range = N := by
simp only [← toSubmodule_inj, LieModuleHom.toSubmodule_range, incl_coe]
rw [Submodule.range_subtype]
@[simp]
theorem comap_incl_self : comap N.incl N = ⊤ := by
simp only [← toSubmodule_inj, toSubmodule_comap, incl_coe, top_toSubmodule]
rw [Submodule.comap_subtype_self]
theorem map_incl_top : (⊤ : LieSubmodule R L N).map N.incl = N := by simp
variable {N}
@[simp]
lemma map_le_range {M' : Type*}
[AddCommGroup M'] [Module R M'] [LieRingModule L M'] (f : M →ₗ⁅R,L⁆ M') :
N.map f ≤ f.range := by
rw [← LieModuleHom.map_top]
exact LieSubmodule.map_mono le_top
@[simp]
lemma map_incl_lt_iff_lt_top {N' : LieSubmodule R L N} :
N'.map (LieSubmodule.incl N) < N ↔ N' < ⊤ := by
convert (LieSubmodule.mapOrderEmbedding (f := N.incl) Subtype.coe_injective).lt_iff_lt
simp
@[simp]
lemma map_incl_le {N' : LieSubmodule R L N} :
N'.map N.incl ≤ N := by
conv_rhs => rw [← N.map_incl_top]
exact LieSubmodule.map_mono le_top
end LieSubmodule
section TopEquiv
variable (R : Type u) (L : Type v)
variable [CommRing R] [LieRing L]
variable (M : Type*) [AddCommGroup M] [Module R M] [LieRingModule L M]
/-- The natural equivalence between the 'top' Lie submodule and the enclosing Lie module. -/
def LieModuleEquiv.ofTop : (⊤ : LieSubmodule R L M) ≃ₗ⁅R,L⁆ M :=
{ LinearEquiv.ofTop ⊤ rfl with
map_lie' := rfl }
variable {R L}
lemma LieModuleEquiv.ofTop_apply (x : (⊤ : LieSubmodule R L M)) :
LieModuleEquiv.ofTop R L M x = x :=
rfl
@[simp] lemma LieModuleEquiv.range_coe {M' : Type*}
[AddCommGroup M'] [Module R M'] [LieRingModule L M'] (e : M ≃ₗ⁅R,L⁆ M') :
LieModuleHom.range (e : M →ₗ⁅R,L⁆ M') = ⊤ := by
rw [LieModuleHom.range_eq_top]
exact e.surjective
variable [LieAlgebra R L] [LieModule R L M]
/-- The natural equivalence between the 'top' Lie subalgebra and the enclosing Lie algebra.
This is the Lie subalgebra version of `Submodule.topEquiv`. -/
def LieSubalgebra.topEquiv : (⊤ : LieSubalgebra R L) ≃ₗ⁅R⁆ L :=
{ (⊤ : LieSubalgebra R L).incl with
invFun := fun x ↦ ⟨x, Set.mem_univ x⟩
left_inv := fun x ↦ by ext; rfl
right_inv := fun _ ↦ rfl }
@[simp]
theorem LieSubalgebra.topEquiv_apply (x : (⊤ : LieSubalgebra R L)) : LieSubalgebra.topEquiv x = x :=
rfl
end TopEquiv
| Mathlib/Algebra/Lie/Submodule.lean | 1,362 | 1,364 | |
/-
Copyright (c) 2021 Hunter Monroe. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Hunter Monroe, Kyle Miller, Alena Gusakov
-/
import Mathlib.Combinatorics.SimpleGraph.DeleteEdges
import Mathlib.Data.Fintype.Powerset
/-!
# Subgraphs of a simple graph
A subgraph of a simple graph consists of subsets of the graph's vertices and edges such that the
endpoints of each edge are present in the vertex subset. The edge subset is formalized as a
sub-relation of the adjacency relation of the simple graph.
## Main definitions
* `Subgraph G` is the type of subgraphs of a `G : SimpleGraph V`.
* `Subgraph.neighborSet`, `Subgraph.incidenceSet`, and `Subgraph.degree` are like their
`SimpleGraph` counterparts, but they refer to vertices from `G` to avoid subtype coercions.
* `Subgraph.coe` is the coercion from a `G' : Subgraph G` to a `SimpleGraph G'.verts`.
(In Lean 3 this could not be a `Coe` instance since the destination type depends on `G'`.)
* `Subgraph.IsSpanning` for whether a subgraph is a spanning subgraph and
`Subgraph.IsInduced` for whether a subgraph is an induced subgraph.
* Instances for `Lattice (Subgraph G)` and `BoundedOrder (Subgraph G)`.
* `SimpleGraph.toSubgraph`: If a `SimpleGraph` is a subgraph of another, then you can turn it
into a member of the larger graph's `SimpleGraph.Subgraph` type.
* Graph homomorphisms from a subgraph to a graph (`Subgraph.map_top`) and between subgraphs
(`Subgraph.map`).
## Implementation notes
* Recall that subgraphs are not determined by their vertex sets, so `SetLike` does not apply to
this kind of subobject.
## TODO
* Images of graph homomorphisms as subgraphs.
-/
universe u v
namespace SimpleGraph
/-- A subgraph of a `SimpleGraph` is a subset of vertices along with a restriction of the adjacency
relation that is symmetric and is supported by the vertex subset. They also form a bounded lattice.
Thinking of `V → V → Prop` as `Set (V × V)`, a set of darts (i.e., half-edges), then
`Subgraph.adj_sub` is that the darts of a subgraph are a subset of the darts of `G`. -/
@[ext]
structure Subgraph {V : Type u} (G : SimpleGraph V) where
/-- Vertices of the subgraph -/
verts : Set V
/-- Edges of the subgraph -/
Adj : V → V → Prop
adj_sub : ∀ {v w : V}, Adj v w → G.Adj v w
edge_vert : ∀ {v w : V}, Adj v w → v ∈ verts
symm : Symmetric Adj := by aesop_graph -- Porting note: Originally `by obviously`
initialize_simps_projections SimpleGraph.Subgraph (Adj → adj)
variable {ι : Sort*} {V : Type u} {W : Type v}
/-- The one-vertex subgraph. -/
@[simps]
protected def singletonSubgraph (G : SimpleGraph V) (v : V) : G.Subgraph where
verts := {v}
Adj := ⊥
adj_sub := False.elim
edge_vert := False.elim
symm _ _ := False.elim
/-- The one-edge subgraph. -/
@[simps]
def subgraphOfAdj (G : SimpleGraph V) {v w : V} (hvw : G.Adj v w) : G.Subgraph where
verts := {v, w}
Adj a b := s(v, w) = s(a, b)
adj_sub h := by
rw [← G.mem_edgeSet, ← h]
exact hvw
edge_vert {a b} h := by
apply_fun fun e ↦ a ∈ e at h
simp only [Sym2.mem_iff, true_or, eq_iff_iff, iff_true] at h
exact h
namespace Subgraph
variable {G : SimpleGraph V} {G₁ G₂ : G.Subgraph} {a b : V}
protected theorem loopless (G' : Subgraph G) : Irreflexive G'.Adj :=
fun v h ↦ G.loopless v (G'.adj_sub h)
theorem adj_comm (G' : Subgraph G) (v w : V) : G'.Adj v w ↔ G'.Adj w v :=
⟨fun x ↦ G'.symm x, fun x ↦ G'.symm x⟩
@[symm]
theorem adj_symm (G' : Subgraph G) {u v : V} (h : G'.Adj u v) : G'.Adj v u :=
G'.symm h
protected theorem Adj.symm {G' : Subgraph G} {u v : V} (h : G'.Adj u v) : G'.Adj v u :=
G'.symm h
protected theorem Adj.adj_sub {H : G.Subgraph} {u v : V} (h : H.Adj u v) : G.Adj u v :=
H.adj_sub h
protected theorem Adj.fst_mem {H : G.Subgraph} {u v : V} (h : H.Adj u v) : u ∈ H.verts :=
H.edge_vert h
protected theorem Adj.snd_mem {H : G.Subgraph} {u v : V} (h : H.Adj u v) : v ∈ H.verts :=
h.symm.fst_mem
protected theorem Adj.ne {H : G.Subgraph} {u v : V} (h : H.Adj u v) : u ≠ v :=
h.adj_sub.ne
theorem adj_congr_of_sym2 {H : G.Subgraph} {u v w x : V} (h2 : s(u, v) = s(w, x)) :
H.Adj u v ↔ H.Adj w x := by
simp only [Sym2.eq, Sym2.rel_iff', Prod.mk.injEq, Prod.swap_prod_mk] at h2
rcases h2 with hl | hr
· rw [hl.1, hl.2]
· rw [hr.1, hr.2, Subgraph.adj_comm]
/-- Coercion from `G' : Subgraph G` to a `SimpleGraph G'.verts`. -/
@[simps]
protected def coe (G' : Subgraph G) : SimpleGraph G'.verts where
Adj v w := G'.Adj v w
symm _ _ h := G'.symm h
loopless v h := loopless G v (G'.adj_sub h)
@[simp]
theorem coe_adj_sub (G' : Subgraph G) (u v : G'.verts) (h : G'.coe.Adj u v) : G.Adj u v :=
G'.adj_sub h
-- Given `h : H.Adj u v`, then `h.coe : H.coe.Adj ⟨u, _⟩ ⟨v, _⟩`.
protected theorem Adj.coe {H : G.Subgraph} {u v : V} (h : H.Adj u v) :
H.coe.Adj ⟨u, H.edge_vert h⟩ ⟨v, H.edge_vert h.symm⟩ := h
instance (G : SimpleGraph V) (H : Subgraph G) [DecidableRel H.Adj] : DecidableRel H.coe.Adj :=
fun a b ↦ ‹DecidableRel H.Adj› _ _
/-- A subgraph is called a *spanning subgraph* if it contains all the vertices of `G`. -/
def IsSpanning (G' : Subgraph G) : Prop :=
∀ v : V, v ∈ G'.verts
theorem isSpanning_iff {G' : Subgraph G} : G'.IsSpanning ↔ G'.verts = Set.univ :=
Set.eq_univ_iff_forall.symm
protected alias ⟨IsSpanning.verts_eq_univ, _⟩ := isSpanning_iff
/-- Coercion from `Subgraph G` to `SimpleGraph V`. If `G'` is a spanning
subgraph, then `G'.spanningCoe` yields an isomorphic graph.
In general, this adds in all vertices from `V` as isolated vertices. -/
@[simps]
protected def spanningCoe (G' : Subgraph G) : SimpleGraph V where
Adj := G'.Adj
symm := G'.symm
loopless v hv := G.loopless v (G'.adj_sub hv)
@[simp]
theorem Adj.of_spanningCoe {G' : Subgraph G} {u v : G'.verts} (h : G'.spanningCoe.Adj u v) :
G.Adj u v :=
G'.adj_sub h
lemma spanningCoe_le (G' : G.Subgraph) : G'.spanningCoe ≤ G := fun _ _ ↦ G'.3
theorem spanningCoe_inj : G₁.spanningCoe = G₂.spanningCoe ↔ G₁.Adj = G₂.Adj := by
simp [Subgraph.spanningCoe]
lemma mem_of_adj_spanningCoe {v w : V} {s : Set V} (G : SimpleGraph s)
(hadj : G.spanningCoe.Adj v w) : v ∈ s := by aesop
@[simp]
lemma spanningCoe_subgraphOfAdj {v w : V} (hadj : G.Adj v w) :
(G.subgraphOfAdj hadj).spanningCoe = fromEdgeSet {s(v, w)} := by
ext v w
aesop
/-- `spanningCoe` is equivalent to `coe` for a subgraph that `IsSpanning`. -/
@[simps]
def spanningCoeEquivCoeOfSpanning (G' : Subgraph G) (h : G'.IsSpanning) :
G'.spanningCoe ≃g G'.coe where
toFun v := ⟨v, h v⟩
invFun v := v
left_inv _ := rfl
right_inv _ := rfl
map_rel_iff' := Iff.rfl
/-- A subgraph is called an *induced subgraph* if vertices of `G'` are adjacent if
they are adjacent in `G`. -/
def IsInduced (G' : Subgraph G) : Prop :=
∀ ⦃v⦄, v ∈ G'.verts → ∀ ⦃w⦄, w ∈ G'.verts → G.Adj v w → G'.Adj v w
@[simp] protected lemma IsInduced.adj {G' : G.Subgraph} (hG' : G'.IsInduced) {a b : G'.verts} :
G'.Adj a b ↔ G.Adj a b :=
⟨coe_adj_sub _ _ _, hG' a.2 b.2⟩
/-- `H.support` is the set of vertices that form edges in the subgraph `H`. -/
def support (H : Subgraph G) : Set V := Rel.dom H.Adj
theorem mem_support (H : Subgraph G) {v : V} : v ∈ H.support ↔ ∃ w, H.Adj v w := Iff.rfl
theorem support_subset_verts (H : Subgraph G) : H.support ⊆ H.verts :=
fun _ ⟨_, h⟩ ↦ H.edge_vert h
/-- `G'.neighborSet v` is the set of vertices adjacent to `v` in `G'`. -/
def neighborSet (G' : Subgraph G) (v : V) : Set V := {w | G'.Adj v w}
theorem neighborSet_subset (G' : Subgraph G) (v : V) : G'.neighborSet v ⊆ G.neighborSet v :=
fun _ ↦ G'.adj_sub
theorem neighborSet_subset_verts (G' : Subgraph G) (v : V) : G'.neighborSet v ⊆ G'.verts :=
fun _ h ↦ G'.edge_vert (adj_symm G' h)
@[simp]
theorem mem_neighborSet (G' : Subgraph G) (v w : V) : w ∈ G'.neighborSet v ↔ G'.Adj v w := Iff.rfl
/-- A subgraph as a graph has equivalent neighbor sets. -/
def coeNeighborSetEquiv {G' : Subgraph G} (v : G'.verts) :
G'.coe.neighborSet v ≃ G'.neighborSet v where
toFun w := ⟨w, w.2⟩
invFun w := ⟨⟨w, G'.edge_vert (G'.adj_symm w.2)⟩, w.2⟩
left_inv _ := rfl
right_inv _ := rfl
/-- The edge set of `G'` consists of a subset of edges of `G`. -/
def edgeSet (G' : Subgraph G) : Set (Sym2 V) := Sym2.fromRel G'.symm
theorem edgeSet_subset (G' : Subgraph G) : G'.edgeSet ⊆ G.edgeSet :=
Sym2.ind (fun _ _ ↦ G'.adj_sub)
@[simp]
protected lemma mem_edgeSet {G' : Subgraph G} {v w : V} : s(v, w) ∈ G'.edgeSet ↔ G'.Adj v w := .rfl
@[simp] lemma edgeSet_coe {G' : G.Subgraph} : G'.coe.edgeSet = Sym2.map (↑) ⁻¹' G'.edgeSet := by
ext e; induction e using Sym2.ind; simp
lemma image_coe_edgeSet_coe (G' : G.Subgraph) : Sym2.map (↑) '' G'.coe.edgeSet = G'.edgeSet := by
rw [edgeSet_coe, Set.image_preimage_eq_iff]
rintro e he
induction e using Sym2.ind with | h a b =>
rw [Subgraph.mem_edgeSet] at he
exact ⟨s(⟨a, edge_vert _ he⟩, ⟨b, edge_vert _ he.symm⟩), Sym2.map_pair_eq ..⟩
theorem mem_verts_of_mem_edge {G' : Subgraph G} {e : Sym2 V} {v : V} (he : e ∈ G'.edgeSet)
(hv : v ∈ e) : v ∈ G'.verts := by
induction e
rcases Sym2.mem_iff.mp hv with (rfl | rfl)
· exact G'.edge_vert he
· exact G'.edge_vert (G'.symm he)
/-- The `incidenceSet` is the set of edges incident to a given vertex. -/
def incidenceSet (G' : Subgraph G) (v : V) : Set (Sym2 V) := {e ∈ G'.edgeSet | v ∈ e}
theorem incidenceSet_subset_incidenceSet (G' : Subgraph G) (v : V) :
G'.incidenceSet v ⊆ G.incidenceSet v :=
fun _ h ↦ ⟨G'.edgeSet_subset h.1, h.2⟩
theorem incidenceSet_subset (G' : Subgraph G) (v : V) : G'.incidenceSet v ⊆ G'.edgeSet :=
fun _ h ↦ h.1
/-- Give a vertex as an element of the subgraph's vertex type. -/
abbrev vert (G' : Subgraph G) (v : V) (h : v ∈ G'.verts) : G'.verts := ⟨v, h⟩
/--
Create an equal copy of a subgraph (see `copy_eq`) with possibly different definitional equalities.
See Note [range copy pattern].
-/
def copy (G' : Subgraph G) (V'' : Set V) (hV : V'' = G'.verts)
(adj' : V → V → Prop) (hadj : adj' = G'.Adj) : Subgraph G where
verts := V''
Adj := adj'
adj_sub := hadj.symm ▸ G'.adj_sub
edge_vert := hV.symm ▸ hadj.symm ▸ G'.edge_vert
symm := hadj.symm ▸ G'.symm
theorem copy_eq (G' : Subgraph G) (V'' : Set V) (hV : V'' = G'.verts)
(adj' : V → V → Prop) (hadj : adj' = G'.Adj) : G'.copy V'' hV adj' hadj = G' :=
Subgraph.ext hV hadj
/-- The union of two subgraphs. -/
instance : Max G.Subgraph where
max G₁ G₂ :=
{ verts := G₁.verts ∪ G₂.verts
Adj := G₁.Adj ⊔ G₂.Adj
adj_sub := fun hab => Or.elim hab (fun h => G₁.adj_sub h) fun h => G₂.adj_sub h
edge_vert := Or.imp (fun h => G₁.edge_vert h) fun h => G₂.edge_vert h
symm := fun _ _ => Or.imp G₁.adj_symm G₂.adj_symm }
/-- The intersection of two subgraphs. -/
instance : Min G.Subgraph where
min G₁ G₂ :=
{ verts := G₁.verts ∩ G₂.verts
Adj := G₁.Adj ⊓ G₂.Adj
adj_sub := fun hab => G₁.adj_sub hab.1
edge_vert := And.imp (fun h => G₁.edge_vert h) fun h => G₂.edge_vert h
symm := fun _ _ => And.imp G₁.adj_symm G₂.adj_symm }
/-- The `top` subgraph is `G` as a subgraph of itself. -/
instance : Top G.Subgraph where
top :=
{ verts := Set.univ
Adj := G.Adj
adj_sub := id
edge_vert := @fun v _ _ => Set.mem_univ v
symm := G.symm }
/-- The `bot` subgraph is the subgraph with no vertices or edges. -/
instance : Bot G.Subgraph where
bot :=
{ verts := ∅
Adj := ⊥
adj_sub := False.elim
edge_vert := False.elim
symm := fun _ _ => id }
instance : SupSet G.Subgraph where
sSup s :=
{ verts := ⋃ G' ∈ s, verts G'
Adj := fun a b => ∃ G' ∈ s, Adj G' a b
adj_sub := by
rintro a b ⟨G', -, hab⟩
exact G'.adj_sub hab
edge_vert := by
rintro a b ⟨G', hG', hab⟩
exact Set.mem_iUnion₂_of_mem hG' (G'.edge_vert hab)
symm := fun a b h => by simpa [adj_comm] using h }
instance : InfSet G.Subgraph where
sInf s :=
{ verts := ⋂ G' ∈ s, verts G'
Adj := fun a b => (∀ ⦃G'⦄, G' ∈ s → Adj G' a b) ∧ G.Adj a b
adj_sub := And.right
edge_vert := fun hab => Set.mem_iInter₂_of_mem fun G' hG' => G'.edge_vert <| hab.1 hG'
symm := fun _ _ => And.imp (forall₂_imp fun _ _ => Adj.symm) G.adj_symm }
@[simp]
theorem sup_adj : (G₁ ⊔ G₂).Adj a b ↔ G₁.Adj a b ∨ G₂.Adj a b :=
Iff.rfl
@[simp]
theorem inf_adj : (G₁ ⊓ G₂).Adj a b ↔ G₁.Adj a b ∧ G₂.Adj a b :=
Iff.rfl
@[simp]
theorem top_adj : (⊤ : Subgraph G).Adj a b ↔ G.Adj a b :=
Iff.rfl
@[simp]
theorem not_bot_adj : ¬ (⊥ : Subgraph G).Adj a b :=
not_false
@[simp]
theorem verts_sup (G₁ G₂ : G.Subgraph) : (G₁ ⊔ G₂).verts = G₁.verts ∪ G₂.verts :=
rfl
@[simp]
theorem verts_inf (G₁ G₂ : G.Subgraph) : (G₁ ⊓ G₂).verts = G₁.verts ∩ G₂.verts :=
rfl
@[simp]
theorem verts_top : (⊤ : G.Subgraph).verts = Set.univ :=
rfl
@[simp]
theorem verts_bot : (⊥ : G.Subgraph).verts = ∅ :=
rfl
@[simp]
theorem sSup_adj {s : Set G.Subgraph} : (sSup s).Adj a b ↔ ∃ G ∈ s, Adj G a b :=
Iff.rfl
@[simp]
theorem sInf_adj {s : Set G.Subgraph} : (sInf s).Adj a b ↔ (∀ G' ∈ s, Adj G' a b) ∧ G.Adj a b :=
Iff.rfl
@[simp]
theorem iSup_adj {f : ι → G.Subgraph} : (⨆ i, f i).Adj a b ↔ ∃ i, (f i).Adj a b := by
simp [iSup]
@[simp]
theorem iInf_adj {f : ι → G.Subgraph} : (⨅ i, f i).Adj a b ↔ (∀ i, (f i).Adj a b) ∧ G.Adj a b := by
simp [iInf]
theorem sInf_adj_of_nonempty {s : Set G.Subgraph} (hs : s.Nonempty) :
(sInf s).Adj a b ↔ ∀ G' ∈ s, Adj G' a b :=
sInf_adj.trans <|
and_iff_left_of_imp <| by
obtain ⟨G', hG'⟩ := hs
exact fun h => G'.adj_sub (h _ hG')
theorem iInf_adj_of_nonempty [Nonempty ι] {f : ι → G.Subgraph} :
(⨅ i, f i).Adj a b ↔ ∀ i, (f i).Adj a b := by
rw [iInf, sInf_adj_of_nonempty (Set.range_nonempty _)]
simp
@[simp]
theorem verts_sSup (s : Set G.Subgraph) : (sSup s).verts = ⋃ G' ∈ s, verts G' :=
rfl
@[simp]
theorem verts_sInf (s : Set G.Subgraph) : (sInf s).verts = ⋂ G' ∈ s, verts G' :=
rfl
@[simp]
theorem verts_iSup {f : ι → G.Subgraph} : (⨆ i, f i).verts = ⋃ i, (f i).verts := by simp [iSup]
@[simp]
theorem verts_iInf {f : ι → G.Subgraph} : (⨅ i, f i).verts = ⋂ i, (f i).verts := by simp [iInf]
@[simp] lemma coe_bot : (⊥ : G.Subgraph).coe = ⊥ := rfl
@[simp] lemma IsInduced.top : (⊤ : G.Subgraph).IsInduced := fun _ _ _ _ ↦ id
/-- The graph isomorphism between the top element of `G.subgraph` and `G`. -/
def topIso : (⊤ : G.Subgraph).coe ≃g G where
toFun := (↑)
invFun a := ⟨a, Set.mem_univ _⟩
left_inv _ := Subtype.eta ..
right_inv _ := rfl
map_rel_iff' := .rfl
theorem verts_spanningCoe_injective :
(fun G' : Subgraph G => (G'.verts, G'.spanningCoe)).Injective := by
intro G₁ G₂ h
rw [Prod.ext_iff] at h
exact Subgraph.ext h.1 (spanningCoe_inj.1 h.2)
/-- For subgraphs `G₁`, `G₂`, `G₁ ≤ G₂` iff `G₁.verts ⊆ G₂.verts` and
`∀ a b, G₁.adj a b → G₂.adj a b`. -/
instance distribLattice : DistribLattice G.Subgraph :=
{ show DistribLattice G.Subgraph from
verts_spanningCoe_injective.distribLattice _
(fun _ _ => rfl) fun _ _ => rfl with
le := fun x y => x.verts ⊆ y.verts ∧ ∀ ⦃v w : V⦄, x.Adj v w → y.Adj v w }
instance : BoundedOrder (Subgraph G) where
top := ⊤
bot := ⊥
le_top x := ⟨Set.subset_univ _, fun _ _ => x.adj_sub⟩
bot_le _ := ⟨Set.empty_subset _, fun _ _ => False.elim⟩
/-- Note that subgraphs do not form a Boolean algebra, because of `verts`. -/
def completelyDistribLatticeMinimalAxioms : CompletelyDistribLattice.MinimalAxioms G.Subgraph :=
{ Subgraph.distribLattice with
le := (· ≤ ·)
sup := (· ⊔ ·)
inf := (· ⊓ ·)
top := ⊤
bot := ⊥
le_top := fun G' => ⟨Set.subset_univ _, fun _ _ => G'.adj_sub⟩
bot_le := fun _ => ⟨Set.empty_subset _, fun _ _ => False.elim⟩
sSup := sSup
-- Porting note: needed `apply` here to modify elaboration; previously the term itself was fine.
le_sSup := fun s G' hG' => ⟨by apply Set.subset_iUnion₂ G' hG', fun _ _ hab => ⟨G', hG', hab⟩⟩
sSup_le := fun s G' hG' =>
⟨Set.iUnion₂_subset fun _ hH => (hG' _ hH).1, by
rintro a b ⟨H, hH, hab⟩
exact (hG' _ hH).2 hab⟩
sInf := sInf
sInf_le := fun _ G' hG' => ⟨Set.iInter₂_subset G' hG', fun _ _ hab => hab.1 hG'⟩
le_sInf := fun _ G' hG' =>
⟨Set.subset_iInter₂ fun _ hH => (hG' _ hH).1, fun _ _ hab =>
⟨fun _ hH => (hG' _ hH).2 hab, G'.adj_sub hab⟩⟩
iInf_iSup_eq := fun f => Subgraph.ext (by simpa using iInf_iSup_eq)
(by ext; simp [Classical.skolem]) }
instance : CompletelyDistribLattice G.Subgraph :=
.ofMinimalAxioms completelyDistribLatticeMinimalAxioms
@[gcongr] lemma verts_mono {H H' : G.Subgraph} (h : H ≤ H') : H.verts ⊆ H'.verts := h.1
lemma verts_monotone : Monotone (verts : G.Subgraph → Set V) := fun _ _ h ↦ h.1
@[simps]
instance subgraphInhabited : Inhabited (Subgraph G) := ⟨⊥⟩
@[simp]
theorem neighborSet_sup {H H' : G.Subgraph} (v : V) :
(H ⊔ H').neighborSet v = H.neighborSet v ∪ H'.neighborSet v := rfl
@[simp]
theorem neighborSet_inf {H H' : G.Subgraph} (v : V) :
(H ⊓ H').neighborSet v = H.neighborSet v ∩ H'.neighborSet v := rfl
@[simp]
theorem neighborSet_top (v : V) : (⊤ : G.Subgraph).neighborSet v = G.neighborSet v := rfl
@[simp]
theorem neighborSet_bot (v : V) : (⊥ : G.Subgraph).neighborSet v = ∅ := rfl
@[simp]
theorem neighborSet_sSup (s : Set G.Subgraph) (v : V) :
(sSup s).neighborSet v = ⋃ G' ∈ s, neighborSet G' v := by
ext
simp
@[simp]
theorem neighborSet_sInf (s : Set G.Subgraph) (v : V) :
(sInf s).neighborSet v = (⋂ G' ∈ s, neighborSet G' v) ∩ G.neighborSet v := by
ext
simp
@[simp]
theorem neighborSet_iSup (f : ι → G.Subgraph) (v : V) :
(⨆ i, f i).neighborSet v = ⋃ i, (f i).neighborSet v := by simp [iSup]
@[simp]
theorem neighborSet_iInf (f : ι → G.Subgraph) (v : V) :
(⨅ i, f i).neighborSet v = (⋂ i, (f i).neighborSet v) ∩ G.neighborSet v := by simp [iInf]
@[simp]
theorem edgeSet_top : (⊤ : Subgraph G).edgeSet = G.edgeSet := rfl
@[simp]
theorem edgeSet_bot : (⊥ : Subgraph G).edgeSet = ∅ :=
Set.ext <| Sym2.ind (by simp)
@[simp]
theorem edgeSet_inf {H₁ H₂ : Subgraph G} : (H₁ ⊓ H₂).edgeSet = H₁.edgeSet ∩ H₂.edgeSet :=
Set.ext <| Sym2.ind (by simp)
@[simp]
theorem edgeSet_sup {H₁ H₂ : Subgraph G} : (H₁ ⊔ H₂).edgeSet = H₁.edgeSet ∪ H₂.edgeSet :=
Set.ext <| Sym2.ind (by simp)
@[simp]
theorem edgeSet_sSup (s : Set G.Subgraph) : (sSup s).edgeSet = ⋃ G' ∈ s, edgeSet G' := by
ext e
induction e
simp
@[simp]
theorem edgeSet_sInf (s : Set G.Subgraph) :
(sInf s).edgeSet = (⋂ G' ∈ s, edgeSet G') ∩ G.edgeSet := by
ext e
induction e
simp
@[simp]
theorem edgeSet_iSup (f : ι → G.Subgraph) :
(⨆ i, f i).edgeSet = ⋃ i, (f i).edgeSet := by simp [iSup]
@[simp]
theorem edgeSet_iInf (f : ι → G.Subgraph) :
(⨅ i, f i).edgeSet = (⋂ i, (f i).edgeSet) ∩ G.edgeSet := by
simp [iInf]
@[simp]
theorem spanningCoe_top : (⊤ : Subgraph G).spanningCoe = G := rfl
@[simp]
theorem spanningCoe_bot : (⊥ : Subgraph G).spanningCoe = ⊥ := rfl
/-- Turn a subgraph of a `SimpleGraph` into a member of its subgraph type. -/
@[simps]
def _root_.SimpleGraph.toSubgraph (H : SimpleGraph V) (h : H ≤ G) : G.Subgraph where
verts := Set.univ
Adj := H.Adj
adj_sub e := h e
edge_vert _ := Set.mem_univ _
symm := H.symm
theorem support_mono {H H' : Subgraph G} (h : H ≤ H') : H.support ⊆ H'.support :=
Rel.dom_mono h.2
theorem _root_.SimpleGraph.toSubgraph.isSpanning (H : SimpleGraph V) (h : H ≤ G) :
(toSubgraph H h).IsSpanning :=
Set.mem_univ
theorem spanningCoe_le_of_le {H H' : Subgraph G} (h : H ≤ H') : H.spanningCoe ≤ H'.spanningCoe :=
h.2
@[simp]
lemma sup_spanningCoe (H H' : Subgraph G) :
(H ⊔ H').spanningCoe = H.spanningCoe ⊔ H'.spanningCoe := rfl
/-- The top of the `Subgraph G` lattice is equivalent to the graph itself. -/
def topEquiv : (⊤ : Subgraph G).coe ≃g G where
toFun v := ↑v
invFun v := ⟨v, trivial⟩
left_inv _ := rfl
right_inv _ := rfl
map_rel_iff' := Iff.rfl
/-- The bottom of the `Subgraph G` lattice is equivalent to the empty graph on the empty
vertex type. -/
def botEquiv : (⊥ : Subgraph G).coe ≃g (⊥ : SimpleGraph Empty) where
toFun v := v.property.elim
invFun v := v.elim
left_inv := fun ⟨_, h⟩ ↦ h.elim
right_inv v := v.elim
map_rel_iff' := Iff.rfl
theorem edgeSet_mono {H₁ H₂ : Subgraph G} (h : H₁ ≤ H₂) : H₁.edgeSet ≤ H₂.edgeSet :=
Sym2.ind h.2
theorem _root_.Disjoint.edgeSet {H₁ H₂ : Subgraph G} (h : Disjoint H₁ H₂) :
Disjoint H₁.edgeSet H₂.edgeSet :=
disjoint_iff_inf_le.mpr <| by simpa using edgeSet_mono h.le_bot
section map
variable {G' : SimpleGraph W} {f : G →g G'}
/-- Graph homomorphisms induce a covariant function on subgraphs. -/
@[simps]
protected def map (f : G →g G') (H : G.Subgraph) : G'.Subgraph where
verts := f '' H.verts
Adj := Relation.Map H.Adj f f
adj_sub := by
rintro _ _ ⟨u, v, h, rfl, rfl⟩
exact f.map_rel (H.adj_sub h)
edge_vert := by
rintro _ _ ⟨u, v, h, rfl, rfl⟩
exact Set.mem_image_of_mem _ (H.edge_vert h)
symm := by
rintro _ _ ⟨u, v, h, rfl, rfl⟩
exact ⟨v, u, H.symm h, rfl, rfl⟩
@[simp] lemma map_id (H : G.Subgraph) : H.map Hom.id = H := by ext <;> simp
lemma map_comp {U : Type*} {G'' : SimpleGraph U} (H : G.Subgraph) (f : G →g G') (g : G' →g G'') :
H.map (g.comp f) = (H.map f).map g := by ext <;> simp [Subgraph.map]
@[gcongr] lemma map_mono {H₁ H₂ : G.Subgraph} (hH : H₁ ≤ H₂) : H₁.map f ≤ H₂.map f := by
constructor
· intro
simp only [map_verts, Set.mem_image, forall_exists_index, and_imp]
rintro v hv rfl
exact ⟨_, hH.1 hv, rfl⟩
· rintro _ _ ⟨u, v, ha, rfl, rfl⟩
exact ⟨_, _, hH.2 ha, rfl, rfl⟩
lemma map_monotone : Monotone (Subgraph.map f) := fun _ _ ↦ map_mono
theorem map_sup (f : G →g G') (H₁ H₂ : G.Subgraph) : (H₁ ⊔ H₂).map f = H₁.map f ⊔ H₂.map f := by
ext <;> simp [Set.image_union, map_adj, sup_adj, Relation.Map, or_and_right, exists_or]
@[simp] lemma map_iso_top {H : SimpleGraph W} (e : G ≃g H) : Subgraph.map e.toHom ⊤ = ⊤ := by
ext <;> simp [Relation.Map, e.apply_eq_iff_eq_symm_apply, ← e.map_rel_iff]
@[simp] lemma edgeSet_map (f : G →g G') (H : G.Subgraph) :
(H.map f).edgeSet = Sym2.map f '' H.edgeSet := Sym2.fromRel_relationMap ..
end map
/-- Graph homomorphisms induce a contravariant function on subgraphs. -/
@[simps]
protected def comap {G' : SimpleGraph W} (f : G →g G') (H : G'.Subgraph) : G.Subgraph where
verts := f ⁻¹' H.verts
Adj u v := G.Adj u v ∧ H.Adj (f u) (f v)
adj_sub h := h.1
edge_vert h := Set.mem_preimage.1 (H.edge_vert h.2)
symm _ _ h := ⟨G.symm h.1, H.symm h.2⟩
theorem comap_monotone {G' : SimpleGraph W} (f : G →g G') : Monotone (Subgraph.comap f) := by
intro H H' h
constructor
· intro
simp only [comap_verts, Set.mem_preimage]
apply h.1
· intro v w
simp +contextual only [comap_adj, and_imp, true_and]
intro
apply h.2
@[simp] lemma comap_equiv_top {H : SimpleGraph W} (f : G →g H) : Subgraph.comap f ⊤ = ⊤ := by
ext <;> simp +contextual [f.map_adj]
theorem map_le_iff_le_comap {G' : SimpleGraph W} (f : G →g G') (H : G.Subgraph) (H' : G'.Subgraph) :
H.map f ≤ H' ↔ H ≤ H'.comap f := by
refine ⟨fun h ↦ ⟨fun v hv ↦ ?_, fun v w hvw ↦ ?_⟩, fun h ↦ ⟨fun v ↦ ?_, fun v w ↦ ?_⟩⟩
· simp only [comap_verts, Set.mem_preimage]
exact h.1 ⟨v, hv, rfl⟩
· simp only [H.adj_sub hvw, comap_adj, true_and]
exact h.2 ⟨v, w, hvw, rfl, rfl⟩
· simp only [map_verts, Set.mem_image, forall_exists_index, and_imp]
rintro w hw rfl
exact h.1 hw
· simp only [Relation.Map, map_adj, forall_exists_index, and_imp]
rintro u u' hu rfl rfl
exact (h.2 hu).2
instance [DecidableEq V] [Fintype V] [DecidableRel G.Adj] : Fintype G.Subgraph := by
refine .ofBijective
(α := {H : Finset V × (V → V → Bool) //
(∀ a b, H.2 a b → G.Adj a b) ∧ (∀ a b, H.2 a b → a ∈ H.1) ∧ ∀ a b, H.2 a b = H.2 b a})
(fun H ↦ ⟨H.1.1, fun a b ↦ H.1.2 a b, @H.2.1, @H.2.2.1, by simp [Symmetric, H.2.2.2]⟩)
⟨?_, fun H ↦ ?_⟩
· rintro ⟨⟨_, _⟩, -⟩ ⟨⟨_, _⟩, -⟩
simp [funext_iff]
· classical
exact ⟨⟨(H.verts.toFinset, fun a b ↦ H.Adj a b), fun a b ↦ by simpa using H.adj_sub,
fun a b ↦ by simpa using H.edge_vert, by simp [H.adj_comm]⟩, by simp⟩
instance [Finite V] : Finite G.Subgraph := by classical cases nonempty_fintype V; infer_instance
/-- Given two subgraphs, one a subgraph of the other, there is an induced injective homomorphism of
the subgraphs as graphs. -/
@[simps]
def inclusion {x y : Subgraph G} (h : x ≤ y) : x.coe →g y.coe where
toFun v := ⟨↑v, And.left h v.property⟩
map_rel' hvw := h.2 hvw
theorem inclusion.injective {x y : Subgraph G} (h : x ≤ y) : Function.Injective (inclusion h) := by
intro v w h
rw [inclusion, DFunLike.coe, Subtype.mk_eq_mk] at h
exact Subtype.ext h
/-- There is an induced injective homomorphism of a subgraph of `G` into `G`. -/
@[simps]
protected def hom (x : Subgraph G) : x.coe →g G where
toFun v := v
map_rel' := x.adj_sub
@[simp] lemma coe_hom (x : Subgraph G) :
(x.hom : x.verts → V) = (fun (v : x.verts) => (v : V)) := rfl
theorem hom_injective {x : Subgraph G} : Function.Injective x.hom :=
fun _ _ ↦ Subtype.ext
@[deprecated (since := "2025-03-15")] alias hom.injective := hom_injective
@[simp] lemma map_hom_top (G' : G.Subgraph) : Subgraph.map G'.hom ⊤ = G' := by
aesop (add unfold safe Relation.Map, unsafe G'.edge_vert, unsafe Adj.symm)
/-- There is an induced injective homomorphism of a subgraph of `G` as
a spanning subgraph into `G`. -/
@[simps]
def spanningHom (x : Subgraph G) : x.spanningCoe →g G where
toFun := id
map_rel' := x.adj_sub
theorem spanningHom_injective {x : Subgraph G} : Function.Injective x.spanningHom :=
fun _ _ ↦ id
@[deprecated (since := "2025-03-15")] alias spanningHom.injective := spanningHom_injective
theorem neighborSet_subset_of_subgraph {x y : Subgraph G} (h : x ≤ y) (v : V) :
x.neighborSet v ⊆ y.neighborSet v :=
fun _ h' ↦ h.2 h'
instance neighborSet.decidablePred (G' : Subgraph G) [h : DecidableRel G'.Adj] (v : V) :
DecidablePred (· ∈ G'.neighborSet v) :=
h v
/-- If a graph is locally finite at a vertex, then so is a subgraph of that graph. -/
instance finiteAt {G' : Subgraph G} (v : G'.verts) [DecidableRel G'.Adj]
[Fintype (G.neighborSet v)] : Fintype (G'.neighborSet v) :=
Set.fintypeSubset (G.neighborSet v) (G'.neighborSet_subset v)
/-- If a subgraph is locally finite at a vertex, then so are subgraphs of that subgraph.
This is not an instance because `G''` cannot be inferred. -/
def finiteAtOfSubgraph {G' G'' : Subgraph G} [DecidableRel G'.Adj] (h : G' ≤ G'') (v : G'.verts)
[Fintype (G''.neighborSet v)] : Fintype (G'.neighborSet v) :=
Set.fintypeSubset (G''.neighborSet v) (neighborSet_subset_of_subgraph h v)
instance (G' : Subgraph G) [Fintype G'.verts] (v : V) [DecidablePred (· ∈ G'.neighborSet v)] :
Fintype (G'.neighborSet v) :=
Set.fintypeSubset G'.verts (neighborSet_subset_verts G' v)
instance coeFiniteAt {G' : Subgraph G} (v : G'.verts) [Fintype (G'.neighborSet v)] :
Fintype (G'.coe.neighborSet v) :=
Fintype.ofEquiv _ (coeNeighborSetEquiv v).symm
theorem IsSpanning.card_verts [Fintype V] {G' : Subgraph G} [Fintype G'.verts] (h : G'.IsSpanning) :
G'.verts.toFinset.card = Fintype.card V := by
simp only [isSpanning_iff.1 h, Set.toFinset_univ]
congr
/-- The degree of a vertex in a subgraph. It's zero for vertices outside the subgraph. -/
def degree (G' : Subgraph G) (v : V) [Fintype (G'.neighborSet v)] : ℕ :=
Fintype.card (G'.neighborSet v)
theorem finset_card_neighborSet_eq_degree {G' : Subgraph G} {v : V} [Fintype (G'.neighborSet v)] :
(G'.neighborSet v).toFinset.card = G'.degree v := by
rw [degree, Set.toFinset_card]
theorem degree_le (G' : Subgraph G) (v : V) [Fintype (G'.neighborSet v)]
[Fintype (G.neighborSet v)] : G'.degree v ≤ G.degree v := by
rw [← card_neighborSet_eq_degree]
exact Set.card_le_card (G'.neighborSet_subset v)
theorem degree_le' (G' G'' : Subgraph G) (h : G' ≤ G'') (v : V) [Fintype (G'.neighborSet v)]
[Fintype (G''.neighborSet v)] : G'.degree v ≤ G''.degree v :=
Set.card_le_card (neighborSet_subset_of_subgraph h v)
@[simp]
theorem coe_degree (G' : Subgraph G) (v : G'.verts) [Fintype (G'.coe.neighborSet v)]
[Fintype (G'.neighborSet v)] : G'.coe.degree v = G'.degree v := by
rw [← card_neighborSet_eq_degree]
exact Fintype.card_congr (coeNeighborSetEquiv v)
@[simp]
theorem degree_spanningCoe {G' : G.Subgraph} (v : V) [Fintype (G'.neighborSet v)]
[Fintype (G'.spanningCoe.neighborSet v)] : G'.spanningCoe.degree v = G'.degree v := by
rw [← card_neighborSet_eq_degree, Subgraph.degree]
congr!
theorem degree_eq_one_iff_unique_adj {G' : Subgraph G} {v : V} [Fintype (G'.neighborSet v)] :
G'.degree v = 1 ↔ ∃! w : V, G'.Adj v w := by
rw [← finset_card_neighborSet_eq_degree, Finset.card_eq_one, Finset.singleton_iff_unique_mem]
simp only [Set.mem_toFinset, mem_neighborSet]
lemma neighborSet_eq_of_equiv {v : V} {H : Subgraph G}
(h : G.neighborSet v ≃ H.neighborSet v) (hfin : (G.neighborSet v).Finite) :
H.neighborSet v = G.neighborSet v := by
lift H.neighborSet v to Finset V using h.set_finite_iff.mp hfin with s hs
lift G.neighborSet v to Finset V using hfin with t ht
refine congrArg _ <| Finset.eq_of_subset_of_card_le ?_ (Finset.card_eq_of_equiv h).le
rw [← Finset.coe_subset, hs, ht]
exact H.neighborSet_subset _
lemma adj_iff_of_neighborSet_equiv {v : V} {H : Subgraph G}
(h : G.neighborSet v ≃ H.neighborSet v) (hfin : (G.neighborSet v).Finite) :
∀ {w}, H.Adj v w ↔ G.Adj v w :=
Set.ext_iff.mp (neighborSet_eq_of_equiv h hfin) _
end Subgraph
section MkProperties
/-! ### Properties of `singletonSubgraph` and `subgraphOfAdj` -/
variable {G : SimpleGraph V} {G' : SimpleGraph W}
instance nonempty_singletonSubgraph_verts (v : V) : Nonempty (G.singletonSubgraph v).verts :=
⟨⟨v, Set.mem_singleton v⟩⟩
@[simp]
theorem singletonSubgraph_le_iff (v : V) (H : G.Subgraph) :
G.singletonSubgraph v ≤ H ↔ v ∈ H.verts := by
refine ⟨fun h ↦ h.1 (Set.mem_singleton v), ?_⟩
intro h
constructor
· rwa [singletonSubgraph_verts, Set.singleton_subset_iff]
· exact fun _ _ ↦ False.elim
@[simp]
theorem map_singletonSubgraph (f : G →g G') {v : V} :
Subgraph.map f (G.singletonSubgraph v) = G'.singletonSubgraph (f v) := by
ext <;> simp only [Relation.Map, Subgraph.map_adj, singletonSubgraph_adj, Pi.bot_apply,
exists_and_left, and_iff_left_iff_imp, IsEmpty.forall_iff, Subgraph.map_verts,
singletonSubgraph_verts, Set.image_singleton]
exact False.elim
@[simp]
theorem neighborSet_singletonSubgraph (v w : V) : (G.singletonSubgraph v).neighborSet w = ∅ :=
rfl
@[simp]
theorem edgeSet_singletonSubgraph (v : V) : (G.singletonSubgraph v).edgeSet = ∅ :=
Sym2.fromRel_bot
theorem eq_singletonSubgraph_iff_verts_eq (H : G.Subgraph) {v : V} :
H = G.singletonSubgraph v ↔ H.verts = {v} := by
refine ⟨fun h ↦ by rw [h, singletonSubgraph_verts], fun h ↦ ?_⟩
ext
· rw [h, singletonSubgraph_verts]
· simp only [Prop.bot_eq_false, singletonSubgraph_adj, Pi.bot_apply, iff_false]
intro ha
have ha1 := ha.fst_mem
have ha2 := ha.snd_mem
rw [h, Set.mem_singleton_iff] at ha1 ha2
subst_vars
exact ha.ne rfl
instance nonempty_subgraphOfAdj_verts {v w : V} (hvw : G.Adj v w) :
Nonempty (G.subgraphOfAdj hvw).verts :=
⟨⟨v, by simp⟩⟩
@[simp]
theorem edgeSet_subgraphOfAdj {v w : V} (hvw : G.Adj v w) :
(G.subgraphOfAdj hvw).edgeSet = {s(v, w)} := by
ext e
refine e.ind ?_
simp only [eq_comm, Set.mem_singleton_iff, Subgraph.mem_edgeSet, subgraphOfAdj_adj,
forall₂_true_iff]
lemma subgraphOfAdj_le_of_adj {v w : V} (H : G.Subgraph) (h : H.Adj v w) :
G.subgraphOfAdj (H.adj_sub h) ≤ H := by
constructor
· intro x
rintro (rfl | rfl) <;> simp [H.edge_vert h, H.edge_vert h.symm]
· simp only [subgraphOfAdj_adj, Sym2.eq, Sym2.rel_iff]
rintro _ _ (⟨rfl, rfl⟩ | ⟨rfl, rfl⟩) <;> simp [h, h.symm]
theorem subgraphOfAdj_symm {v w : V} (hvw : G.Adj v w) :
G.subgraphOfAdj hvw.symm = G.subgraphOfAdj hvw := by
ext <;> simp [or_comm, and_comm]
@[simp]
theorem map_subgraphOfAdj (f : G →g G') {v w : V} (hvw : G.Adj v w) :
Subgraph.map f (G.subgraphOfAdj hvw) = G'.subgraphOfAdj (f.map_adj hvw) := by
ext
· simp only [Subgraph.map_verts, subgraphOfAdj_verts, Set.mem_image, Set.mem_insert_iff,
Set.mem_singleton_iff]
constructor
· rintro ⟨u, rfl | rfl, rfl⟩ <;> simp
· rintro (rfl | rfl)
· use v
simp
· use w
simp
· simp only [Relation.Map, Subgraph.map_adj, subgraphOfAdj_adj, Sym2.eq, Sym2.rel_iff]
constructor
· rintro ⟨a, b, ⟨rfl, rfl⟩ | ⟨rfl, rfl⟩, rfl, rfl⟩ <;> simp
· rintro (⟨rfl, rfl⟩ | ⟨rfl, rfl⟩)
· use v, w
simp
· use w, v
simp
theorem neighborSet_subgraphOfAdj_subset {u v w : V} (hvw : G.Adj v w) :
(G.subgraphOfAdj hvw).neighborSet u ⊆ {v, w} :=
(G.subgraphOfAdj hvw).neighborSet_subset_verts _
@[simp]
theorem neighborSet_fst_subgraphOfAdj {v w : V} (hvw : G.Adj v w) :
(G.subgraphOfAdj hvw).neighborSet v = {w} := by
ext u
suffices w = u ↔ u = w by simpa [hvw.ne.symm] using this
rw [eq_comm]
@[simp]
theorem neighborSet_snd_subgraphOfAdj {v w : V} (hvw : G.Adj v w) :
(G.subgraphOfAdj hvw).neighborSet w = {v} := by
rw [subgraphOfAdj_symm hvw.symm]
exact neighborSet_fst_subgraphOfAdj hvw.symm
@[simp]
theorem neighborSet_subgraphOfAdj_of_ne_of_ne {u v w : V} (hvw : G.Adj v w) (hv : u ≠ v)
(hw : u ≠ w) : (G.subgraphOfAdj hvw).neighborSet u = ∅ := by
ext
simp [hv.symm, hw.symm]
theorem neighborSet_subgraphOfAdj [DecidableEq V] {u v w : V} (hvw : G.Adj v w) :
(G.subgraphOfAdj hvw).neighborSet u =
(if u = v then {w} else ∅) ∪ if u = w then {v} else ∅ := by
split_ifs <;> subst_vars <;> simp [*]
theorem singletonSubgraph_fst_le_subgraphOfAdj {u v : V} {h : G.Adj u v} :
G.singletonSubgraph u ≤ G.subgraphOfAdj h := by
simp
theorem singletonSubgraph_snd_le_subgraphOfAdj {u v : V} {h : G.Adj u v} :
G.singletonSubgraph v ≤ G.subgraphOfAdj h := by
simp
@[simp]
lemma support_subgraphOfAdj {u v : V} (h : G.Adj u v) :
(G.subgraphOfAdj h).support = {u , v} := by
ext
rw [Subgraph.mem_support]
simp only [subgraphOfAdj_adj, Sym2.eq, Sym2.rel_iff', Prod.mk.injEq, Prod.swap_prod_mk]
refine ⟨?_, fun h ↦ h.elim (fun hl ↦ ⟨v, .inl ⟨hl.symm, rfl⟩⟩) fun hr ↦ ⟨u, .inr ⟨rfl, hr.symm⟩⟩⟩
rintro ⟨_, hw⟩
exact hw.elim (fun h1 ↦ .inl h1.1.symm) fun hr ↦ .inr hr.2.symm
end MkProperties
namespace Subgraph
variable {G : SimpleGraph V}
/-! ### Subgraphs of subgraphs -/
/-- Given a subgraph of a subgraph of `G`, construct a subgraph of `G`. -/
protected abbrev coeSubgraph {G' : G.Subgraph} : G'.coe.Subgraph → G.Subgraph :=
Subgraph.map G'.hom
/-- Given a subgraph of `G`, restrict it to being a subgraph of another subgraph `G'` by
taking the portion of `G` that intersects `G'`. -/
protected abbrev restrict {G' : G.Subgraph} : G.Subgraph → G'.coe.Subgraph :=
Subgraph.comap G'.hom
@[simp]
lemma verts_coeSubgraph {G' : Subgraph G} (G'' : Subgraph G'.coe) :
(Subgraph.coeSubgraph G'').verts = (G''.verts : Set V) := rfl
lemma coeSubgraph_adj {G' : G.Subgraph} (G'' : G'.coe.Subgraph) (v w : V) :
(G'.coeSubgraph G'').Adj v w ↔
∃ (hv : v ∈ G'.verts) (hw : w ∈ G'.verts), G''.Adj ⟨v, hv⟩ ⟨w, hw⟩ := by
simp [Relation.Map]
lemma restrict_adj {G' G'' : G.Subgraph} (v w : G'.verts) :
(G'.restrict G'').Adj v w ↔ G'.Adj v w ∧ G''.Adj v w := Iff.rfl
theorem restrict_coeSubgraph {G' : G.Subgraph} (G'' : G'.coe.Subgraph) :
Subgraph.restrict (Subgraph.coeSubgraph G'') = G'' := by
ext
· simp
· rw [restrict_adj, coeSubgraph_adj]
simpa using G''.adj_sub
theorem coeSubgraph_injective (G' : G.Subgraph) :
Function.Injective (Subgraph.coeSubgraph : G'.coe.Subgraph → G.Subgraph) :=
Function.LeftInverse.injective restrict_coeSubgraph
lemma coeSubgraph_le {H : G.Subgraph} (H' : H.coe.Subgraph) :
Subgraph.coeSubgraph H' ≤ H := by
constructor
· simp
· rintro v w ⟨_, _, h, rfl, rfl⟩
exact H'.adj_sub h
lemma coeSubgraph_restrict_eq {H : G.Subgraph} (H' : G.Subgraph) :
Subgraph.coeSubgraph (H.restrict H') = H ⊓ H' := by
ext
· simp [and_comm]
· simp_rw [coeSubgraph_adj, restrict_adj]
simp only [exists_and_left, exists_prop, inf_adj, and_congr_right_iff]
intro h
simp [H.edge_vert h, H.edge_vert h.symm]
/-! ### Edge deletion -/
/-- Given a subgraph `G'` and a set of vertex pairs, remove all of the corresponding edges
from its edge set, if present.
See also: `SimpleGraph.deleteEdges`. -/
def deleteEdges (G' : G.Subgraph) (s : Set (Sym2 V)) : G.Subgraph where
verts := G'.verts
Adj := G'.Adj \ Sym2.ToRel s
adj_sub h' := G'.adj_sub h'.1
edge_vert h' := G'.edge_vert h'.1
symm a b := by simp [G'.adj_comm, Sym2.eq_swap]
section DeleteEdges
variable {G' : G.Subgraph} (s : Set (Sym2 V))
@[simp]
theorem deleteEdges_verts : (G'.deleteEdges s).verts = G'.verts :=
rfl
@[simp]
theorem deleteEdges_adj (v w : V) : (G'.deleteEdges s).Adj v w ↔ G'.Adj v w ∧ ¬s(v, w) ∈ s :=
Iff.rfl
@[simp]
theorem deleteEdges_deleteEdges (s s' : Set (Sym2 V)) :
(G'.deleteEdges s).deleteEdges s' = G'.deleteEdges (s ∪ s') := by
ext <;> simp [and_assoc, not_or]
@[simp]
theorem deleteEdges_empty_eq : G'.deleteEdges ∅ = G' := by
ext <;> simp
@[simp]
theorem deleteEdges_spanningCoe_eq :
G'.spanningCoe.deleteEdges s = (G'.deleteEdges s).spanningCoe := by
ext
simp
theorem deleteEdges_coe_eq (s : Set (Sym2 G'.verts)) :
G'.coe.deleteEdges s = (G'.deleteEdges (Sym2.map (↑) '' s)).coe := by
ext ⟨v, hv⟩ ⟨w, hw⟩
simp only [SimpleGraph.deleteEdges_adj, coe_adj, deleteEdges_adj, Set.mem_image, not_exists,
not_and, and_congr_right_iff]
intro
constructor
· intro hs
refine Sym2.ind ?_
rintro ⟨v', hv'⟩ ⟨w', hw'⟩
simp only [Sym2.map_pair_eq, Sym2.eq]
contrapose!
rintro (_ | _) <;> simpa only [Sym2.eq_swap]
· intro h' hs
exact h' _ hs rfl
theorem coe_deleteEdges_eq (s : Set (Sym2 V)) :
(G'.deleteEdges s).coe = G'.coe.deleteEdges (Sym2.map (↑) ⁻¹' s) := by
ext ⟨v, hv⟩ ⟨w, hw⟩
simp
theorem deleteEdges_le : G'.deleteEdges s ≤ G' := by
constructor <;> simp +contextual [subset_rfl]
theorem deleteEdges_le_of_le {s s' : Set (Sym2 V)} (h : s ⊆ s') :
G'.deleteEdges s' ≤ G'.deleteEdges s := by
constructor <;> simp +contextual only [deleteEdges_verts, deleteEdges_adj,
true_and, and_imp, subset_rfl]
exact fun _ _ _ hs' hs ↦ hs' (h hs)
@[simp]
theorem deleteEdges_inter_edgeSet_left_eq :
G'.deleteEdges (G'.edgeSet ∩ s) = G'.deleteEdges s := by
ext <;> simp +contextual [imp_false]
@[simp]
theorem deleteEdges_inter_edgeSet_right_eq :
G'.deleteEdges (s ∩ G'.edgeSet) = G'.deleteEdges s := by
ext <;> simp +contextual [imp_false]
theorem coe_deleteEdges_le : (G'.deleteEdges s).coe ≤ (G'.coe : SimpleGraph G'.verts) := by
intro v w
simp +contextual
theorem spanningCoe_deleteEdges_le (G' : G.Subgraph) (s : Set (Sym2 V)) :
(G'.deleteEdges s).spanningCoe ≤ G'.spanningCoe :=
spanningCoe_le_of_le (deleteEdges_le s)
end DeleteEdges
/-! ### Induced subgraphs -/
/- Given a subgraph, we can change its vertex set while removing any invalid edges, which
gives induced subgraphs. See also `SimpleGraph.induce` for the `SimpleGraph` version, which,
unlike for subgraphs, results in a graph with a different vertex type. -/
/-- The induced subgraph of a subgraph. The expectation is that `s ⊆ G'.verts` for the usual
notion of an induced subgraph, but, in general, `s` is taken to be the new vertex set and edges
are induced from the subgraph `G'`. -/
@[simps]
def induce (G' : G.Subgraph) (s : Set V) : G.Subgraph where
verts := s
Adj u v := u ∈ s ∧ v ∈ s ∧ G'.Adj u v
adj_sub h := G'.adj_sub h.2.2
edge_vert h := h.1
symm _ _ h := ⟨h.2.1, h.1, G'.symm h.2.2⟩
theorem _root_.SimpleGraph.induce_eq_coe_induce_top (s : Set V) :
G.induce s = ((⊤ : G.Subgraph).induce s).coe := by
ext
simp
section Induce
variable {G' G'' : G.Subgraph} {s s' : Set V}
theorem induce_mono (hg : G' ≤ G'') (hs : s ⊆ s') : G'.induce s ≤ G''.induce s' := by
constructor
· simp [hs]
· simp +contextual only [induce_adj, and_imp]
intro v w hv hw ha
exact ⟨hs hv, hs hw, hg.2 ha⟩
@[gcongr, mono]
theorem induce_mono_left (hg : G' ≤ G'') : G'.induce s ≤ G''.induce s :=
induce_mono hg subset_rfl
@[gcongr, mono]
theorem induce_mono_right (hs : s ⊆ s') : G'.induce s ≤ G'.induce s' :=
induce_mono le_rfl hs
@[simp]
theorem induce_empty : G'.induce ∅ = ⊥ := by
ext <;> simp
@[simp]
theorem induce_self_verts : G'.induce G'.verts = G' := by
ext
· simp
· constructor <;>
simp +contextual only [induce_adj, imp_true_iff, and_true]
exact fun ha ↦ ⟨G'.edge_vert ha, G'.edge_vert ha.symm⟩
lemma le_induce_top_verts : G' ≤ (⊤ : G.Subgraph).induce G'.verts :=
calc G' = G'.induce G'.verts := Subgraph.induce_self_verts.symm
_ ≤ (⊤ : G.Subgraph).induce G'.verts := Subgraph.induce_mono_left le_top
lemma le_induce_union : G'.induce s ⊔ G'.induce s' ≤ G'.induce (s ∪ s') := by
constructor
· simp only [verts_sup, induce_verts, Set.Subset.rfl]
· simp only [sup_adj, induce_adj, Set.mem_union]
rintro v w (h | h) <;> simp [h]
lemma le_induce_union_left : G'.induce s ≤ G'.induce (s ∪ s') := by
exact (sup_le_iff.mp le_induce_union).1
lemma le_induce_union_right : G'.induce s' ≤ G'.induce (s ∪ s') := by
exact (sup_le_iff.mp le_induce_union).2
theorem singletonSubgraph_eq_induce {v : V} :
G.singletonSubgraph v = (⊤ : G.Subgraph).induce {v} := by
ext <;> simp +contextual [-Set.bot_eq_empty, Prop.bot_eq_false]
theorem subgraphOfAdj_eq_induce {v w : V} (hvw : G.Adj v w) :
G.subgraphOfAdj hvw = (⊤ : G.Subgraph).induce {v, w} := by
ext
· simp
· constructor
· intro h
simp only [subgraphOfAdj_adj, Sym2.eq, Sym2.rel_iff] at h
obtain ⟨rfl, rfl⟩ | ⟨rfl, rfl⟩ := h <;> simp [hvw, hvw.symm]
· intro h
simp only [induce_adj, Set.mem_insert_iff, Set.mem_singleton_iff, top_adj] at h
obtain ⟨rfl | rfl, rfl | rfl, ha⟩ := h <;> first |exact (ha.ne rfl).elim|simp
instance instDecidableRel_induce_adj (s : Set V) [∀ a, Decidable (a ∈ s)] [DecidableRel G'.Adj] :
DecidableRel (G'.induce s).Adj :=
fun _ _ ↦ instDecidableAnd
end Induce
/-- Given a subgraph and a set of vertices, delete all the vertices from the subgraph,
if present. Any edges incident to the deleted vertices are deleted as well. -/
abbrev deleteVerts (G' : G.Subgraph) (s : Set V) : G.Subgraph :=
G'.induce (G'.verts \ s)
section DeleteVerts
variable {G' : G.Subgraph} {s : Set V}
theorem deleteVerts_verts : (G'.deleteVerts s).verts = G'.verts \ s :=
rfl
theorem deleteVerts_adj {u v : V} :
(G'.deleteVerts s).Adj u v ↔ u ∈ G'.verts ∧ ¬u ∈ s ∧ v ∈ G'.verts ∧ ¬v ∈ s ∧ G'.Adj u v := by
simp [and_assoc]
@[simp]
theorem deleteVerts_deleteVerts (s s' : Set V) :
(G'.deleteVerts s).deleteVerts s' = G'.deleteVerts (s ∪ s') := by
ext <;> simp +contextual [not_or, and_assoc]
@[simp]
theorem deleteVerts_empty : G'.deleteVerts ∅ = G' := by
simp [deleteVerts]
theorem deleteVerts_le : G'.deleteVerts s ≤ G' := by
constructor <;> simp [Set.diff_subset]
@[gcongr, mono]
theorem deleteVerts_mono {G' G'' : G.Subgraph} (h : G' ≤ G'') :
G'.deleteVerts s ≤ G''.deleteVerts s :=
induce_mono h (Set.diff_subset_diff_left h.1)
@[mono]
lemma deleteVerts_mono' {G' : SimpleGraph V} (u : Set V) (h : G ≤ G') :
((⊤ : Subgraph G).deleteVerts u).coe ≤ ((⊤ : Subgraph G').deleteVerts u).coe := by
intro v w hvw
aesop
@[gcongr, mono]
theorem deleteVerts_anti {s s' : Set V} (h : s ⊆ s') : G'.deleteVerts s' ≤ G'.deleteVerts s :=
induce_mono (le_refl _) (Set.diff_subset_diff_right h)
@[simp]
theorem deleteVerts_inter_verts_left_eq : G'.deleteVerts (G'.verts ∩ s) = G'.deleteVerts s := by
ext <;> simp +contextual [imp_false]
@[simp]
theorem deleteVerts_inter_verts_set_right_eq :
G'.deleteVerts (s ∩ G'.verts) = G'.deleteVerts s := by
ext <;> simp +contextual [imp_false]
| instance instDecidableRel_deleteVerts_adj (u : Set V) [r : DecidableRel G.Adj] :
DecidableRel ((⊤ : G.Subgraph).deleteVerts u).coe.Adj :=
fun x y =>
| Mathlib/Combinatorics/SimpleGraph/Subgraph.lean | 1,258 | 1,260 |
/-
Copyright (c) 2020 David Wärn. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: David Wärn
-/
import Mathlib.CategoryTheory.NatIso
import Mathlib.CategoryTheory.EqToHom
/-!
# Quotient category
Constructs the quotient of a category by an arbitrary family of relations on its hom-sets,
by introducing a type synonym for the objects, and identifying homs as necessary.
This is analogous to 'the quotient of a group by the normal closure of a subset', rather
than 'the quotient of a group by a normal subgroup'. When taking the quotient by a congruence
relation, `functor_map_eq_iff` says that no unnecessary identifications have been made.
-/
/-- A `HomRel` on `C` consists of a relation on every hom-set. -/
def HomRel (C) [Quiver C] :=
∀ ⦃X Y : C⦄, (X ⟶ Y) → (X ⟶ Y) → Prop
-- The `Inhabited` instance should be constructed by a deriving handler.
-- https://github.com/leanprover-community/mathlib4/issues/380
instance (C) [Quiver C] : Inhabited (HomRel C) where
default := fun _ _ _ _ ↦ PUnit
namespace CategoryTheory
section
variable {C D : Type*} [Category C] [Category D] (F : C ⥤ D)
/-- A functor induces a `HomRel` on its domain, relating those maps that have the same image. -/
def Functor.homRel : HomRel C :=
fun _ _ f g ↦ F.map f = F.map g
@[simp]
lemma Functor.homRel_iff {X Y : C} (f g : X ⟶ Y) :
F.homRel f g ↔ F.map f = F.map g := Iff.rfl
end
variable {C : Type _} [Category C] (r : HomRel C)
/-- A `HomRel` is a congruence when it's an equivalence on every hom-set, and it can be composed
from left and right. -/
class Congruence : Prop where
/-- `r` is an equivalence on every hom-set. -/
equivalence : ∀ {X Y}, _root_.Equivalence (@r X Y)
/-- Precomposition with an arrow respects `r`. -/
compLeft : ∀ {X Y Z} (f : X ⟶ Y) {g g' : Y ⟶ Z}, r g g' → r (f ≫ g) (f ≫ g')
/-- Postcomposition with an arrow respects `r`. -/
compRight : ∀ {X Y Z} {f f' : X ⟶ Y} (g : Y ⟶ Z), r f f' → r (f ≫ g) (f' ≫ g)
/-- For `F : C ⥤ D`, `F.homRel` is a congruence. -/
instance Functor.congruence_homRel {C D : Type*} [Category C] [Category D] (F : C ⥤ D) :
Congruence F.homRel where
equivalence :=
{ refl := fun _ ↦ rfl
symm := by aesop
trans := by aesop }
| compLeft := by aesop
compRight := by aesop
| Mathlib/CategoryTheory/Quotient.lean | 65 | 66 |
/-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.FiniteMeasure
import Mathlib.MeasureTheory.Integral.Average
import Mathlib.MeasureTheory.Measure.Prod
/-!
# Probability measures
This file defines the type of probability measures on a given measurable space. When the underlying
space has a topology and the measurable space structure (sigma algebra) is finer than the Borel
sigma algebra, then the type of probability measures is equipped with the topology of convergence
in distribution (weak convergence of measures). The topology of convergence in distribution is the
coarsest topology w.r.t. which for every bounded continuous `ℝ≥0`-valued random variable `X`, the
expected value of `X` depends continuously on the choice of probability measure. This is a special
case of the topology of weak convergence of finite measures.
## Main definitions
The main definitions are
* the type `MeasureTheory.ProbabilityMeasure Ω` with the topology of convergence in
distribution (a.k.a. convergence in law, weak convergence of measures);
* `MeasureTheory.ProbabilityMeasure.toFiniteMeasure`: Interpret a probability measure as
a finite measure;
* `MeasureTheory.FiniteMeasure.normalize`: Normalize a finite measure to a probability measure
(returns junk for the zero measure).
* `MeasureTheory.ProbabilityMeasure.map`: The push-forward `f* μ` of a probability measure
`μ` on `Ω` along a measurable function `f : Ω → Ω'`.
## Main results
* `MeasureTheory.ProbabilityMeasure.tendsto_iff_forall_integral_tendsto`: Convergence of
probability measures is characterized by the convergence of expected values of all bounded
continuous random variables. This shows that the chosen definition of topology coincides with
the common textbook definition of convergence in distribution, i.e., weak convergence of
measures. A similar characterization by the convergence of expected values (in the
`MeasureTheory.lintegral` sense) of all bounded continuous nonnegative random variables is
`MeasureTheory.ProbabilityMeasure.tendsto_iff_forall_lintegral_tendsto`.
* `MeasureTheory.FiniteMeasure.tendsto_normalize_iff_tendsto`: The convergence of finite
measures to a nonzero limit is characterized by the convergence of the probability-normalized
versions and of the total masses.
* `MeasureTheory.ProbabilityMeasure.continuous_map`: For a continuous function `f : Ω → Ω'`, the
push-forward of probability measures `f* : ProbabilityMeasure Ω → ProbabilityMeasure Ω'` is
continuous.
* `MeasureTheory.ProbabilityMeasure.t2Space`: The topology of convergence in distribution is
Hausdorff on Borel spaces where indicators of closed sets have continuous decreasing
approximating sequences (in particular on any pseudo-metrizable spaces).
TODO:
* Probability measures form a convex space.
## Implementation notes
The topology of convergence in distribution on `MeasureTheory.ProbabilityMeasure Ω` is inherited
weak convergence of finite measures via the mapping
`MeasureTheory.ProbabilityMeasure.toFiniteMeasure`.
Like `MeasureTheory.FiniteMeasure Ω`, the implementation of `MeasureTheory.ProbabilityMeasure Ω`
is directly as a subtype of `MeasureTheory.Measure Ω`, and the coercion to a function is the
composition `ENNReal.toNNReal` and the coercion to function of `MeasureTheory.Measure Ω`.
## References
* [Billingsley, *Convergence of probability measures*][billingsley1999]
## Tags
convergence in distribution, convergence in law, weak convergence of measures, probability measure
-/
noncomputable section
open Set Filter BoundedContinuousFunction Topology
open scoped ENNReal NNReal
namespace MeasureTheory
section ProbabilityMeasure
/-! ### Probability measures
In this section we define the type of probability measures on a measurable space `Ω`, denoted by
`MeasureTheory.ProbabilityMeasure Ω`.
If `Ω` is moreover a topological space and the sigma algebra on `Ω` is finer than the Borel sigma
algebra (i.e. `[OpensMeasurableSpace Ω]`), then `MeasureTheory.ProbabilityMeasure Ω` is
equipped with the topology of weak convergence of measures. Since every probability measure is a
finite measure, this is implemented as the induced topology from the mapping
`MeasureTheory.ProbabilityMeasure.toFiniteMeasure`.
-/
/-- Probability measures are defined as the subtype of measures that have the property of being
probability measures (i.e., their total mass is one). -/
def ProbabilityMeasure (Ω : Type*) [MeasurableSpace Ω] : Type _ :=
{ μ : Measure Ω // IsProbabilityMeasure μ }
namespace ProbabilityMeasure
variable {Ω : Type*} [MeasurableSpace Ω]
instance [Inhabited Ω] : Inhabited (ProbabilityMeasure Ω) :=
⟨⟨Measure.dirac default, Measure.dirac.isProbabilityMeasure⟩⟩
/-- Coercion from `MeasureTheory.ProbabilityMeasure Ω` to `MeasureTheory.Measure Ω`. -/
@[coe]
def toMeasure : ProbabilityMeasure Ω → Measure Ω := Subtype.val
/-- A probability measure can be interpreted as a measure. -/
instance : Coe (ProbabilityMeasure Ω) (MeasureTheory.Measure Ω) := { coe := toMeasure }
instance (μ : ProbabilityMeasure Ω) : IsProbabilityMeasure (μ : Measure Ω) :=
μ.prop
@[simp, norm_cast] lemma coe_mk (μ : Measure Ω) (hμ) : toMeasure ⟨μ, hμ⟩ = μ := rfl
@[simp]
theorem val_eq_to_measure (ν : ProbabilityMeasure Ω) : ν.val = (ν : Measure Ω) := rfl
theorem toMeasure_injective : Function.Injective ((↑) : ProbabilityMeasure Ω → Measure Ω) :=
Subtype.coe_injective
instance instFunLike : FunLike (ProbabilityMeasure Ω) (Set Ω) ℝ≥0 where
coe μ s := ((μ : Measure Ω) s).toNNReal
coe_injective' μ ν h := toMeasure_injective <| Measure.ext fun s _ ↦ by
simpa [ENNReal.toNNReal_eq_toNNReal_iff, measure_ne_top] using congr_fun h s
lemma coeFn_def (μ : ProbabilityMeasure Ω) : μ = fun s ↦ ((μ : Measure Ω) s).toNNReal := rfl
lemma coeFn_mk (μ : Measure Ω) (hμ) :
DFunLike.coe (F := ProbabilityMeasure Ω) ⟨μ, hμ⟩ = fun s ↦ (μ s).toNNReal := rfl
@[simp, norm_cast]
lemma mk_apply (μ : Measure Ω) (hμ) (s : Set Ω) :
DFunLike.coe (F := ProbabilityMeasure Ω) ⟨μ, hμ⟩ s = (μ s).toNNReal := rfl
@[simp, norm_cast]
theorem coeFn_univ (ν : ProbabilityMeasure Ω) : ν univ = 1 :=
congr_arg ENNReal.toNNReal ν.prop.measure_univ
theorem coeFn_univ_ne_zero (ν : ProbabilityMeasure Ω) : ν univ ≠ 0 := by
simp only [coeFn_univ, Ne, one_ne_zero, not_false_iff]
/-- A probability measure can be interpreted as a finite measure. -/
def toFiniteMeasure (μ : ProbabilityMeasure Ω) : FiniteMeasure Ω := ⟨μ, inferInstance⟩
@[simp] lemma coeFn_toFiniteMeasure (μ : ProbabilityMeasure Ω) : ⇑μ.toFiniteMeasure = μ := rfl
lemma toFiniteMeasure_apply (μ : ProbabilityMeasure Ω) (s : Set Ω) :
μ.toFiniteMeasure s = μ s := rfl
@[simp]
theorem toMeasure_comp_toFiniteMeasure_eq_toMeasure (ν : ProbabilityMeasure Ω) :
(ν.toFiniteMeasure : Measure Ω) = (ν : Measure Ω) := rfl
@[simp]
theorem coeFn_comp_toFiniteMeasure_eq_coeFn (ν : ProbabilityMeasure Ω) :
(ν.toFiniteMeasure : Set Ω → ℝ≥0) = (ν : Set Ω → ℝ≥0) := rfl
@[simp]
theorem toFiniteMeasure_apply_eq_apply (ν : ProbabilityMeasure Ω) (s : Set Ω) :
ν.toFiniteMeasure s = ν s := rfl
@[simp]
theorem ennreal_coeFn_eq_coeFn_toMeasure (ν : ProbabilityMeasure Ω) (s : Set Ω) :
(ν s : ℝ≥0∞) = (ν : Measure Ω) s := by
rw [← coeFn_comp_toFiniteMeasure_eq_coeFn, FiniteMeasure.ennreal_coeFn_eq_coeFn_toMeasure,
toMeasure_comp_toFiniteMeasure_eq_toMeasure]
@[simp]
theorem null_iff_toMeasure_null (ν : ProbabilityMeasure Ω) (s : Set Ω) :
ν s = 0 ↔ (ν : Measure Ω) s = 0 :=
⟨fun h ↦ by rw [← ennreal_coeFn_eq_coeFn_toMeasure, h, ENNReal.coe_zero],
fun h ↦ congrArg ENNReal.toNNReal h⟩
theorem apply_mono (μ : ProbabilityMeasure Ω) {s₁ s₂ : Set Ω} (h : s₁ ⊆ s₂) : μ s₁ ≤ μ s₂ := by
rw [← coeFn_comp_toFiniteMeasure_eq_coeFn]
exact MeasureTheory.FiniteMeasure.apply_mono _ h
/-- Continuity from below: the measure of the union of a sequence of (not necessarily measurable)
sets is the limit of the measures of the partial unions. -/
protected lemma tendsto_measure_iUnion_accumulate {ι : Type*} [Preorder ι]
[IsCountablyGenerated (atTop : Filter ι)] {μ : ProbabilityMeasure Ω} {f : ι → Set Ω} :
Tendsto (fun i ↦ μ (Accumulate f i)) atTop (𝓝 (μ (⋃ i, f i))) := by
simpa [← ennreal_coeFn_eq_coeFn_toMeasure, ENNReal.tendsto_coe]
using tendsto_measure_iUnion_accumulate (μ := μ.toMeasure)
@[simp] theorem apply_le_one (μ : ProbabilityMeasure Ω) (s : Set Ω) : μ s ≤ 1 := by
simpa using apply_mono μ (subset_univ s)
theorem nonempty (μ : ProbabilityMeasure Ω) : Nonempty Ω := by
by_contra maybe_empty
have zero : (μ : Measure Ω) univ = 0 := by
rw [univ_eq_empty_iff.mpr (not_nonempty_iff.mp maybe_empty), measure_empty]
rw [measure_univ] at zero
exact zero_ne_one zero.symm
@[ext]
theorem eq_of_forall_toMeasure_apply_eq (μ ν : ProbabilityMeasure Ω)
(h : ∀ s : Set Ω, MeasurableSet s → (μ : Measure Ω) s = (ν : Measure Ω) s) : μ = ν := by
apply toMeasure_injective
ext1 s s_mble
exact h s s_mble
theorem eq_of_forall_apply_eq (μ ν : ProbabilityMeasure Ω)
(h : ∀ s : Set Ω, MeasurableSet s → μ s = ν s) : μ = ν := by
ext1 s s_mble
simpa [ennreal_coeFn_eq_coeFn_toMeasure] using congr_arg ((↑) : ℝ≥0 → ℝ≥0∞) (h s s_mble)
@[simp]
theorem mass_toFiniteMeasure (μ : ProbabilityMeasure Ω) : μ.toFiniteMeasure.mass = 1 :=
μ.coeFn_univ
theorem toFiniteMeasure_nonzero (μ : ProbabilityMeasure Ω) : μ.toFiniteMeasure ≠ 0 := by
simp [← FiniteMeasure.mass_nonzero_iff]
/-- The type of probability measures is a measurable space when equipped with the Giry monad. -/
instance : MeasurableSpace (ProbabilityMeasure Ω) := Subtype.instMeasurableSpace
lemma measurableSet_isProbabilityMeasure :
MeasurableSet { μ : Measure Ω | IsProbabilityMeasure μ } := by
suffices { μ : Measure Ω | IsProbabilityMeasure μ } = (fun μ => μ univ) ⁻¹' {1} by
rw [this]
exact Measure.measurable_coe MeasurableSet.univ (measurableSet_singleton 1)
ext _
apply isProbabilityMeasure_iff
/-- The monoidal product is a measurable function from the product of probability spaces over
`α` and `β` into the type of probability spaces over `α × β`. Lemma 4.1 of [A synthetic approach to
Markov kernels, conditional independence and theorems on sufficient statistics][fritz2020]. -/
theorem measurable_prod {α β : Type*} [MeasurableSpace α] [MeasurableSpace β] :
Measurable (fun (μ : ProbabilityMeasure α × ProbabilityMeasure β)
↦ μ.1.toMeasure.prod μ.2.toMeasure) := by
apply Measurable.measure_of_isPiSystem_of_isProbabilityMeasure generateFrom_prod.symm
isPiSystem_prod _
simp only [mem_image2, mem_setOf_eq, forall_exists_index, and_imp]
intros _ u Hu v Hv Heq
simp_rw [← Heq, Measure.prod_prod]
apply Measurable.mul
· exact (Measure.measurable_coe Hu).comp (measurable_subtype_coe.comp measurable_fst)
· exact (Measure.measurable_coe Hv).comp (measurable_subtype_coe.comp measurable_snd)
section convergence_in_distribution
variable [TopologicalSpace Ω] [OpensMeasurableSpace Ω]
theorem testAgainstNN_lipschitz (μ : ProbabilityMeasure Ω) :
LipschitzWith 1 fun f : Ω →ᵇ ℝ≥0 ↦ μ.toFiniteMeasure.testAgainstNN f :=
μ.mass_toFiniteMeasure ▸ μ.toFiniteMeasure.testAgainstNN_lipschitz
/-- The topology of weak convergence on `MeasureTheory.ProbabilityMeasure Ω`. This is inherited
(induced) from the topology of weak convergence of finite measures via the inclusion
`MeasureTheory.ProbabilityMeasure.toFiniteMeasure`. -/
instance : TopologicalSpace (ProbabilityMeasure Ω) :=
TopologicalSpace.induced toFiniteMeasure inferInstance
theorem toFiniteMeasure_continuous :
Continuous (toFiniteMeasure : ProbabilityMeasure Ω → FiniteMeasure Ω) :=
continuous_induced_dom
/-- Probability measures yield elements of the `WeakDual` of bounded continuous nonnegative
functions via `MeasureTheory.FiniteMeasure.testAgainstNN`, i.e., integration. -/
def toWeakDualBCNN : ProbabilityMeasure Ω → WeakDual ℝ≥0 (Ω →ᵇ ℝ≥0) :=
FiniteMeasure.toWeakDualBCNN ∘ toFiniteMeasure
@[simp]
theorem coe_toWeakDualBCNN (μ : ProbabilityMeasure Ω) :
⇑μ.toWeakDualBCNN = μ.toFiniteMeasure.testAgainstNN := rfl
@[simp]
theorem toWeakDualBCNN_apply (μ : ProbabilityMeasure Ω) (f : Ω →ᵇ ℝ≥0) :
μ.toWeakDualBCNN f = (∫⁻ ω, f ω ∂(μ : Measure Ω)).toNNReal := rfl
theorem toWeakDualBCNN_continuous : Continuous fun μ : ProbabilityMeasure Ω ↦ μ.toWeakDualBCNN :=
FiniteMeasure.toWeakDualBCNN_continuous.comp toFiniteMeasure_continuous
/- Integration of (nonnegative bounded continuous) test functions against Borel probability
measures depends continuously on the measure. -/
theorem continuous_testAgainstNN_eval (f : Ω →ᵇ ℝ≥0) :
Continuous fun μ : ProbabilityMeasure Ω ↦ μ.toFiniteMeasure.testAgainstNN f :=
(FiniteMeasure.continuous_testAgainstNN_eval f).comp toFiniteMeasure_continuous
-- The canonical mapping from probability measures to finite measures is an embedding.
theorem toFiniteMeasure_isEmbedding (Ω : Type*) [MeasurableSpace Ω] [TopologicalSpace Ω]
[OpensMeasurableSpace Ω] :
IsEmbedding (toFiniteMeasure : ProbabilityMeasure Ω → FiniteMeasure Ω) where
eq_induced := rfl
injective _μ _ν h := Subtype.eq <| congr_arg FiniteMeasure.toMeasure h
@[deprecated (since := "2024-10-26")]
alias toFiniteMeasure_embedding := toFiniteMeasure_isEmbedding
theorem tendsto_nhds_iff_toFiniteMeasure_tendsto_nhds {δ : Type*} (F : Filter δ)
{μs : δ → ProbabilityMeasure Ω} {μ₀ : ProbabilityMeasure Ω} :
Tendsto μs F (𝓝 μ₀) ↔ Tendsto (toFiniteMeasure ∘ μs) F (𝓝 μ₀.toFiniteMeasure) :=
(toFiniteMeasure_isEmbedding Ω).tendsto_nhds_iff
/-- A characterization of weak convergence of probability measures by the condition that the
integrals of every continuous bounded nonnegative function converge to the integral of the function
against the limit measure. -/
theorem tendsto_iff_forall_lintegral_tendsto {γ : Type*} {F : Filter γ}
{μs : γ → ProbabilityMeasure Ω} {μ : ProbabilityMeasure Ω} :
Tendsto μs F (𝓝 μ) ↔
∀ f : Ω →ᵇ ℝ≥0,
Tendsto (fun i ↦ ∫⁻ ω, f ω ∂(μs i : Measure Ω)) F (𝓝 (∫⁻ ω, f ω ∂(μ : Measure Ω))) := by
rw [tendsto_nhds_iff_toFiniteMeasure_tendsto_nhds]
exact FiniteMeasure.tendsto_iff_forall_lintegral_tendsto
/-- The characterization of weak convergence of probability measures by the usual (defining)
condition that the integrals of every continuous bounded function converge to the integral of the
function against the limit measure. -/
theorem tendsto_iff_forall_integral_tendsto {γ : Type*} {F : Filter γ}
{μs : γ → ProbabilityMeasure Ω} {μ : ProbabilityMeasure Ω} :
Tendsto μs F (𝓝 μ) ↔
∀ f : Ω →ᵇ ℝ,
Tendsto (fun i ↦ ∫ ω, f ω ∂(μs i : Measure Ω)) F (𝓝 (∫ ω, f ω ∂(μ : Measure Ω))) := by
simp [tendsto_nhds_iff_toFiniteMeasure_tendsto_nhds,
FiniteMeasure.tendsto_iff_forall_integral_tendsto]
theorem tendsto_iff_forall_integral_rclike_tendsto {γ : Type*} (𝕜 : Type*) [RCLike 𝕜]
{F : Filter γ} {μs : γ → ProbabilityMeasure Ω} {μ : ProbabilityMeasure Ω} :
Tendsto μs F (𝓝 μ) ↔
∀ f : Ω →ᵇ 𝕜,
Tendsto (fun i ↦ ∫ ω, f ω ∂(μs i : Measure Ω)) F (𝓝 (∫ ω, f ω ∂(μ : Measure Ω))) := by
simp [tendsto_nhds_iff_toFiniteMeasure_tendsto_nhds,
FiniteMeasure.tendsto_iff_forall_integral_rclike_tendsto 𝕜]
lemma continuous_integral_boundedContinuousFunction
{α : Type*} [TopologicalSpace α] [MeasurableSpace α] [OpensMeasurableSpace α] (f : α →ᵇ ℝ) :
Continuous fun μ : ProbabilityMeasure α ↦ ∫ x, f x ∂μ := by
rw [continuous_iff_continuousAt]
intro μ
exact continuousAt_of_tendsto_nhds
(ProbabilityMeasure.tendsto_iff_forall_integral_tendsto.mp tendsto_id f)
end convergence_in_distribution -- section
section Hausdorff
variable [TopologicalSpace Ω] [HasOuterApproxClosed Ω] [BorelSpace Ω]
variable (Ω)
/-- On topological spaces where indicators of closed sets have decreasing approximating sequences of
continuous functions (`HasOuterApproxClosed`), the topology of convergence in distribution of Borel
probability measures is Hausdorff (`T2Space`). -/
instance t2Space : T2Space (ProbabilityMeasure Ω) := (toFiniteMeasure_isEmbedding Ω).t2Space
end Hausdorff -- section
end ProbabilityMeasure
-- namespace
end ProbabilityMeasure
-- section
section NormalizeFiniteMeasure
/-! ### Normalization of finite measures to probability measures
This section is about normalizing finite measures to probability measures.
The weak convergence of finite measures to nonzero limit measures is characterized by
the convergence of the total mass and the convergence of the normalized probability
measures.
-/
namespace FiniteMeasure
variable {Ω : Type*} [Nonempty Ω] {m0 : MeasurableSpace Ω} (μ : FiniteMeasure Ω)
/-- Normalize a finite measure so that it becomes a probability measure, i.e., divide by the
total mass. -/
def normalize : ProbabilityMeasure Ω :=
if zero : μ.mass = 0 then ⟨Measure.dirac ‹Nonempty Ω›.some, Measure.dirac.isProbabilityMeasure⟩
else
{ val := ↑(μ.mass⁻¹ • μ)
property := by
refine ⟨?_⟩
simp only [toMeasure_smul, Measure.coe_smul, Pi.smul_apply, Measure.nnreal_smul_coe_apply,
ENNReal.coe_inv zero, ennreal_mass]
rw [← Ne, ← ENNReal.coe_ne_zero, ennreal_mass] at zero
exact ENNReal.inv_mul_cancel zero μ.prop.measure_univ_lt_top.ne }
@[simp]
theorem self_eq_mass_mul_normalize (s : Set Ω) : μ s = μ.mass * μ.normalize s := by
obtain rfl | h := eq_or_ne μ 0
· simp
have mass_nonzero : μ.mass ≠ 0 := by rwa [μ.mass_nonzero_iff]
simp only [normalize, dif_neg mass_nonzero]
simp [ProbabilityMeasure.coe_mk, toMeasure_smul, mul_inv_cancel_left₀ mass_nonzero, coeFn_def]
theorem self_eq_mass_smul_normalize : μ = μ.mass • μ.normalize.toFiniteMeasure := by
apply eq_of_forall_apply_eq
intro s _s_mble
rw [μ.self_eq_mass_mul_normalize s, smul_apply, smul_eq_mul,
ProbabilityMeasure.coeFn_comp_toFiniteMeasure_eq_coeFn]
theorem normalize_eq_of_nonzero (nonzero : μ ≠ 0) (s : Set Ω) : μ.normalize s = μ.mass⁻¹ * μ s := by
simp only [μ.self_eq_mass_mul_normalize, μ.mass_nonzero_iff.mpr nonzero, inv_mul_cancel_left₀,
Ne, not_false_iff]
theorem normalize_eq_inv_mass_smul_of_nonzero (nonzero : μ ≠ 0) :
μ.normalize.toFiniteMeasure = μ.mass⁻¹ • μ := by
nth_rw 3 [μ.self_eq_mass_smul_normalize]
rw [← smul_assoc]
simp only [μ.mass_nonzero_iff.mpr nonzero, Algebra.id.smul_eq_mul, inv_mul_cancel₀, Ne,
not_false_iff, one_smul]
theorem toMeasure_normalize_eq_of_nonzero (nonzero : μ ≠ 0) :
(μ.normalize : Measure Ω) = μ.mass⁻¹ • μ := by
ext1 s _s_mble
rw [← μ.normalize.ennreal_coeFn_eq_coeFn_toMeasure s, μ.normalize_eq_of_nonzero nonzero s,
ENNReal.coe_mul, ennreal_coeFn_eq_coeFn_toMeasure]
exact Measure.coe_nnreal_smul_apply _ _ _
@[simp]
theorem _root_.ProbabilityMeasure.toFiniteMeasure_normalize_eq_self {m0 : MeasurableSpace Ω}
(μ : ProbabilityMeasure Ω) : μ.toFiniteMeasure.normalize = μ := by
apply ProbabilityMeasure.eq_of_forall_apply_eq
intro s _s_mble
rw [μ.toFiniteMeasure.normalize_eq_of_nonzero μ.toFiniteMeasure_nonzero s]
simp only [ProbabilityMeasure.mass_toFiniteMeasure, inv_one, one_mul, μ.coeFn_toFiniteMeasure]
/-- Averaging with respect to a finite measure is the same as integrating against
`MeasureTheory.FiniteMeasure.normalize`. -/
theorem average_eq_integral_normalize {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E]
(nonzero : μ ≠ 0) (f : Ω → E) :
average (μ : Measure Ω) f = ∫ ω, f ω ∂(μ.normalize : Measure Ω) := by
rw [μ.toMeasure_normalize_eq_of_nonzero nonzero, average]
congr
simp [ENNReal.coe_inv (μ.mass_nonzero_iff.mpr nonzero), ennreal_mass]
variable [TopologicalSpace Ω]
theorem testAgainstNN_eq_mass_mul (f : Ω →ᵇ ℝ≥0) :
μ.testAgainstNN f = μ.mass * μ.normalize.toFiniteMeasure.testAgainstNN f := by
nth_rw 1 [μ.self_eq_mass_smul_normalize]
rw [μ.normalize.toFiniteMeasure.smul_testAgainstNN_apply μ.mass f, smul_eq_mul]
theorem normalize_testAgainstNN (nonzero : μ ≠ 0) (f : Ω →ᵇ ℝ≥0) :
μ.normalize.toFiniteMeasure.testAgainstNN f = μ.mass⁻¹ * μ.testAgainstNN f := by
simp [μ.testAgainstNN_eq_mass_mul, inv_mul_cancel_left₀ <| μ.mass_nonzero_iff.mpr nonzero]
variable [OpensMeasurableSpace Ω]
variable {μ}
theorem tendsto_testAgainstNN_of_tendsto_normalize_testAgainstNN_of_tendsto_mass {γ : Type*}
{F : Filter γ} {μs : γ → FiniteMeasure Ω}
(μs_lim : Tendsto (fun i ↦ (μs i).normalize) F (𝓝 μ.normalize))
(mass_lim : Tendsto (fun i ↦ (μs i).mass) F (𝓝 μ.mass)) (f : Ω →ᵇ ℝ≥0) :
Tendsto (fun i ↦ (μs i).testAgainstNN f) F (𝓝 (μ.testAgainstNN f)) := by
by_cases h_mass : μ.mass = 0
· simp only [μ.mass_zero_iff.mp h_mass, zero_testAgainstNN_apply, zero_mass,
eq_self_iff_true] at mass_lim ⊢
exact tendsto_zero_testAgainstNN_of_tendsto_zero_mass mass_lim f
simp_rw [fun i ↦ (μs i).testAgainstNN_eq_mass_mul f, μ.testAgainstNN_eq_mass_mul f]
rw [ProbabilityMeasure.tendsto_nhds_iff_toFiniteMeasure_tendsto_nhds] at μs_lim
rw [tendsto_iff_forall_testAgainstNN_tendsto] at μs_lim
have lim_pair :
Tendsto (fun i ↦ (⟨(μs i).mass, (μs i).normalize.toFiniteMeasure.testAgainstNN f⟩ : ℝ≥0 × ℝ≥0))
F (𝓝 ⟨μ.mass, μ.normalize.toFiniteMeasure.testAgainstNN f⟩) :=
(Prod.tendsto_iff _ _).mpr ⟨mass_lim, μs_lim f⟩
exact tendsto_mul.comp lim_pair
theorem tendsto_normalize_testAgainstNN_of_tendsto {γ : Type*} {F : Filter γ}
{μs : γ → FiniteMeasure Ω} (μs_lim : Tendsto μs F (𝓝 μ)) (nonzero : μ ≠ 0) (f : Ω →ᵇ ℝ≥0) :
Tendsto (fun i ↦ (μs i).normalize.toFiniteMeasure.testAgainstNN f) F
(𝓝 (μ.normalize.toFiniteMeasure.testAgainstNN f)) := by
have lim_mass := μs_lim.mass
have aux : {(0 : ℝ≥0)}ᶜ ∈ 𝓝 μ.mass :=
isOpen_compl_singleton.mem_nhds (μ.mass_nonzero_iff.mpr nonzero)
have eventually_nonzero : ∀ᶠ i in F, μs i ≠ 0 := by
simp_rw [← mass_nonzero_iff]
exact lim_mass aux
have eve : ∀ᶠ i in F,
(μs i).normalize.toFiniteMeasure.testAgainstNN f =
(μs i).mass⁻¹ * (μs i).testAgainstNN f := by
filter_upwards [eventually_iff.mp eventually_nonzero]
intro i hi
apply normalize_testAgainstNN _ hi
simp_rw [tendsto_congr' eve, μ.normalize_testAgainstNN nonzero]
have lim_pair :
Tendsto (fun i ↦ (⟨(μs i).mass⁻¹, (μs i).testAgainstNN f⟩ : ℝ≥0 × ℝ≥0)) F
(𝓝 ⟨μ.mass⁻¹, μ.testAgainstNN f⟩) := by
refine (Prod.tendsto_iff _ _).mpr ⟨?_, ?_⟩
· exact (continuousOn_inv₀.continuousAt aux).tendsto.comp lim_mass
· exact tendsto_iff_forall_testAgainstNN_tendsto.mp μs_lim f
exact tendsto_mul.comp lim_pair
/-- If the normalized versions of finite measures converge weakly and their total masses
also converge, then the finite measures themselves converge weakly. -/
theorem tendsto_of_tendsto_normalize_testAgainstNN_of_tendsto_mass {γ : Type*} {F : Filter γ}
{μs : γ → FiniteMeasure Ω} (μs_lim : Tendsto (fun i ↦ (μs i).normalize) F (𝓝 μ.normalize))
(mass_lim : Tendsto (fun i ↦ (μs i).mass) F (𝓝 μ.mass)) : Tendsto μs F (𝓝 μ) := by
rw [tendsto_iff_forall_testAgainstNN_tendsto]
exact fun f ↦
tendsto_testAgainstNN_of_tendsto_normalize_testAgainstNN_of_tendsto_mass μs_lim mass_lim f
/-- If finite measures themselves converge weakly to a nonzero limit measure, then their
normalized versions also converge weakly. -/
theorem tendsto_normalize_of_tendsto {γ : Type*} {F : Filter γ} {μs : γ → FiniteMeasure Ω}
(μs_lim : Tendsto μs F (𝓝 μ)) (nonzero : μ ≠ 0) :
Tendsto (fun i ↦ (μs i).normalize) F (𝓝 μ.normalize) := by
rw [ProbabilityMeasure.tendsto_nhds_iff_toFiniteMeasure_tendsto_nhds,
tendsto_iff_forall_testAgainstNN_tendsto]
exact fun f ↦ tendsto_normalize_testAgainstNN_of_tendsto μs_lim nonzero f
/-- The weak convergence of finite measures to a nonzero limit can be characterized by the weak
convergence of both their normalized versions (probability measures) and their total masses. -/
theorem tendsto_normalize_iff_tendsto {γ : Type*} {F : Filter γ} {μs : γ → FiniteMeasure Ω}
(nonzero : μ ≠ 0) :
Tendsto (fun i ↦ (μs i).normalize) F (𝓝 μ.normalize) ∧
Tendsto (fun i ↦ (μs i).mass) F (𝓝 μ.mass) ↔
| Tendsto μs F (𝓝 μ) := by
constructor
· rintro ⟨normalized_lim, mass_lim⟩
exact tendsto_of_tendsto_normalize_testAgainstNN_of_tendsto_mass normalized_lim mass_lim
· intro μs_lim
exact ⟨tendsto_normalize_of_tendsto μs_lim nonzero, μs_lim.mass⟩
end FiniteMeasure --namespace
end NormalizeFiniteMeasure -- section
| Mathlib/MeasureTheory/Measure/ProbabilityMeasure.lean | 518 | 527 |
/-
Copyright (c) 2021 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Alistair Tucker, Wen Yang
-/
import Mathlib.Order.Interval.Set.Image
import Mathlib.Order.CompleteLatticeIntervals
import Mathlib.Topology.Order.DenselyOrdered
import Mathlib.Topology.Order.Monotone
import Mathlib.Topology.Connected.TotallyDisconnected
/-!
# Intermediate Value Theorem
In this file we prove the Intermediate Value Theorem: if `f : α → β` is a function defined on a
connected set `s` that takes both values `≤ a` and values `≥ a` on `s`, then it is equal to `a` at
some point of `s`. We also prove that intervals in a dense conditionally complete order are
preconnected and any preconnected set is an interval. Then we specialize IVT to functions continuous
on intervals.
## Main results
* `IsPreconnected_I??` : all intervals `I??` are preconnected,
* `IsPreconnected.intermediate_value`, `intermediate_value_univ` : Intermediate Value Theorem for
connected sets and connected spaces, respectively;
* `intermediate_value_Icc`, `intermediate_value_Icc'`: Intermediate Value Theorem for functions
on closed intervals.
### Miscellaneous facts
* `IsClosed.Icc_subset_of_forall_mem_nhdsWithin` : “Continuous induction” principle;
if `s ∩ [a, b]` is closed, `a ∈ s`, and for each `x ∈ [a, b) ∩ s` some of its right neighborhoods
is included `s`, then `[a, b] ⊆ s`.
* `IsClosed.Icc_subset_of_forall_exists_gt`, `IsClosed.mem_of_ge_of_forall_exists_gt` : two
other versions of the “continuous induction” principle.
* `ContinuousOn.StrictMonoOn_of_InjOn_Ioo` :
Every continuous injective `f : (a, b) → δ` is strictly monotone
or antitone (increasing or decreasing).
## Tags
intermediate value theorem, connected space, connected set
-/
open Filter OrderDual TopologicalSpace Function Set
open scoped Topology Filter Interval
universe u v
/-!
### Intermediate value theorem on a (pre)connected space
In this section we prove the following theorem (see `IsPreconnected.intermediate_value₂`): if `f`
and `g` are two functions continuous on a preconnected set `s`, `f a ≤ g a` at some `a ∈ s` and
`g b ≤ f b` at some `b ∈ s`, then `f c = g c` at some `c ∈ s`. We prove several versions of this
statement, including the classical IVT that corresponds to a constant function `g`.
-/
section
variable {X : Type u} {α : Type v} [TopologicalSpace X] [LinearOrder α] [TopologicalSpace α]
[OrderClosedTopology α]
/-- Intermediate value theorem for two functions: if `f` and `g` are two continuous functions
on a preconnected space and `f a ≤ g a` and `g b ≤ f b`, then for some `x` we have `f x = g x`. -/
theorem intermediate_value_univ₂ [PreconnectedSpace X] {a b : X} {f g : X → α} (hf : Continuous f)
(hg : Continuous g) (ha : f a ≤ g a) (hb : g b ≤ f b) : ∃ x, f x = g x := by
obtain ⟨x, _, hfg, hgf⟩ : (univ ∩ { x | f x ≤ g x ∧ g x ≤ f x }).Nonempty :=
isPreconnected_closed_iff.1 PreconnectedSpace.isPreconnected_univ _ _ (isClosed_le hf hg)
(isClosed_le hg hf) (fun _ _ => le_total _ _) ⟨a, trivial, ha⟩ ⟨b, trivial, hb⟩
exact ⟨x, le_antisymm hfg hgf⟩
theorem intermediate_value_univ₂_eventually₁ [PreconnectedSpace X] {a : X} {l : Filter X} [NeBot l]
{f g : X → α} (hf : Continuous f) (hg : Continuous g) (ha : f a ≤ g a) (he : g ≤ᶠ[l] f) :
∃ x, f x = g x :=
let ⟨_, h⟩ := he.exists; intermediate_value_univ₂ hf hg ha h
theorem intermediate_value_univ₂_eventually₂ [PreconnectedSpace X] {l₁ l₂ : Filter X} [NeBot l₁]
[NeBot l₂] {f g : X → α} (hf : Continuous f) (hg : Continuous g) (he₁ : f ≤ᶠ[l₁] g)
(he₂ : g ≤ᶠ[l₂] f) : ∃ x, f x = g x :=
let ⟨_, h₁⟩ := he₁.exists
let ⟨_, h₂⟩ := he₂.exists
intermediate_value_univ₂ hf hg h₁ h₂
/-- Intermediate value theorem for two functions: if `f` and `g` are two functions continuous
on a preconnected set `s` and for some `a b ∈ s` we have `f a ≤ g a` and `g b ≤ f b`,
then for some `x ∈ s` we have `f x = g x`. -/
theorem IsPreconnected.intermediate_value₂ {s : Set X} (hs : IsPreconnected s) {a b : X}
(ha : a ∈ s) (hb : b ∈ s) {f g : X → α} (hf : ContinuousOn f s) (hg : ContinuousOn g s)
(ha' : f a ≤ g a) (hb' : g b ≤ f b) : ∃ x ∈ s, f x = g x :=
let ⟨x, hx⟩ :=
@intermediate_value_univ₂ s α _ _ _ _ (Subtype.preconnectedSpace hs) ⟨a, ha⟩ ⟨b, hb⟩ _ _
(continuousOn_iff_continuous_restrict.1 hf) (continuousOn_iff_continuous_restrict.1 hg) ha'
hb'
⟨x, x.2, hx⟩
theorem IsPreconnected.intermediate_value₂_eventually₁ {s : Set X} (hs : IsPreconnected s) {a : X}
{l : Filter X} (ha : a ∈ s) [NeBot l] (hl : l ≤ 𝓟 s) {f g : X → α} (hf : ContinuousOn f s)
(hg : ContinuousOn g s) (ha' : f a ≤ g a) (he : g ≤ᶠ[l] f) : ∃ x ∈ s, f x = g x := by
rw [continuousOn_iff_continuous_restrict] at hf hg
obtain ⟨b, h⟩ :=
@intermediate_value_univ₂_eventually₁ _ _ _ _ _ _ (Subtype.preconnectedSpace hs) ⟨a, ha⟩ _
(comap_coe_neBot_of_le_principal hl) _ _ hf hg ha' (he.comap _)
exact ⟨b, b.prop, h⟩
theorem IsPreconnected.intermediate_value₂_eventually₂ {s : Set X} (hs : IsPreconnected s)
{l₁ l₂ : Filter X} [NeBot l₁] [NeBot l₂] (hl₁ : l₁ ≤ 𝓟 s) (hl₂ : l₂ ≤ 𝓟 s) {f g : X → α}
(hf : ContinuousOn f s) (hg : ContinuousOn g s) (he₁ : f ≤ᶠ[l₁] g) (he₂ : g ≤ᶠ[l₂] f) :
∃ x ∈ s, f x = g x := by
rw [continuousOn_iff_continuous_restrict] at hf hg
obtain ⟨b, h⟩ :=
@intermediate_value_univ₂_eventually₂ _ _ _ _ _ _ (Subtype.preconnectedSpace hs) _ _
(comap_coe_neBot_of_le_principal hl₁) (comap_coe_neBot_of_le_principal hl₂) _ _ hf hg
(he₁.comap _) (he₂.comap _)
exact ⟨b, b.prop, h⟩
/-- **Intermediate Value Theorem** for continuous functions on connected sets. -/
theorem IsPreconnected.intermediate_value {s : Set X} (hs : IsPreconnected s) {a b : X} (ha : a ∈ s)
(hb : b ∈ s) {f : X → α} (hf : ContinuousOn f s) : Icc (f a) (f b) ⊆ f '' s := fun _x hx =>
hs.intermediate_value₂ ha hb hf continuousOn_const hx.1 hx.2
theorem IsPreconnected.intermediate_value_Ico {s : Set X} (hs : IsPreconnected s) {a : X}
{l : Filter X} (ha : a ∈ s) [NeBot l] (hl : l ≤ 𝓟 s) {f : X → α} (hf : ContinuousOn f s) {v : α}
(ht : Tendsto f l (𝓝 v)) : Ico (f a) v ⊆ f '' s := fun _ h =>
hs.intermediate_value₂_eventually₁ ha hl hf continuousOn_const h.1 (ht.eventually_const_le h.2)
theorem IsPreconnected.intermediate_value_Ioc {s : Set X} (hs : IsPreconnected s) {a : X}
{l : Filter X} (ha : a ∈ s) [NeBot l] (hl : l ≤ 𝓟 s) {f : X → α} (hf : ContinuousOn f s) {v : α}
(ht : Tendsto f l (𝓝 v)) : Ioc v (f a) ⊆ f '' s := fun _ h =>
(hs.intermediate_value₂_eventually₁ ha hl continuousOn_const hf h.2
(ht.eventually_le_const h.1)).imp fun _ h => h.imp_right Eq.symm
theorem IsPreconnected.intermediate_value_Ioo {s : Set X} (hs : IsPreconnected s) {l₁ l₂ : Filter X}
[NeBot l₁] [NeBot l₂] (hl₁ : l₁ ≤ 𝓟 s) (hl₂ : l₂ ≤ 𝓟 s) {f : X → α} (hf : ContinuousOn f s)
{v₁ v₂ : α} (ht₁ : Tendsto f l₁ (𝓝 v₁)) (ht₂ : Tendsto f l₂ (𝓝 v₂)) :
Ioo v₁ v₂ ⊆ f '' s := fun _ h =>
hs.intermediate_value₂_eventually₂ hl₁ hl₂ hf continuousOn_const
(ht₁.eventually_le_const h.1) (ht₂.eventually_const_le h.2)
theorem IsPreconnected.intermediate_value_Ici {s : Set X} (hs : IsPreconnected s) {a : X}
{l : Filter X} (ha : a ∈ s) [NeBot l] (hl : l ≤ 𝓟 s) {f : X → α} (hf : ContinuousOn f s)
(ht : Tendsto f l atTop) : Ici (f a) ⊆ f '' s := fun y h =>
hs.intermediate_value₂_eventually₁ ha hl hf continuousOn_const h (tendsto_atTop.1 ht y)
theorem IsPreconnected.intermediate_value_Iic {s : Set X} (hs : IsPreconnected s) {a : X}
{l : Filter X} (ha : a ∈ s) [NeBot l] (hl : l ≤ 𝓟 s) {f : X → α} (hf : ContinuousOn f s)
(ht : Tendsto f l atBot) : Iic (f a) ⊆ f '' s := fun y h =>
(hs.intermediate_value₂_eventually₁ ha hl continuousOn_const hf h (tendsto_atBot.1 ht y)).imp
fun _ h => h.imp_right Eq.symm
theorem IsPreconnected.intermediate_value_Ioi {s : Set X} (hs : IsPreconnected s) {l₁ l₂ : Filter X}
[NeBot l₁] [NeBot l₂] (hl₁ : l₁ ≤ 𝓟 s) (hl₂ : l₂ ≤ 𝓟 s) {f : X → α} (hf : ContinuousOn f s)
{v : α} (ht₁ : Tendsto f l₁ (𝓝 v)) (ht₂ : Tendsto f l₂ atTop) : Ioi v ⊆ f '' s := fun y h =>
hs.intermediate_value₂_eventually₂ hl₁ hl₂ hf continuousOn_const
(ht₁.eventually_le_const h) (ht₂.eventually_ge_atTop y)
theorem IsPreconnected.intermediate_value_Iio {s : Set X} (hs : IsPreconnected s) {l₁ l₂ : Filter X}
[NeBot l₁] [NeBot l₂] (hl₁ : l₁ ≤ 𝓟 s) (hl₂ : l₂ ≤ 𝓟 s) {f : X → α} (hf : ContinuousOn f s)
{v : α} (ht₁ : Tendsto f l₁ atBot) (ht₂ : Tendsto f l₂ (𝓝 v)) : Iio v ⊆ f '' s := fun y h =>
hs.intermediate_value₂_eventually₂ hl₁ hl₂ hf continuousOn_const (ht₁.eventually_le_atBot y)
(ht₂.eventually_const_le h)
theorem IsPreconnected.intermediate_value_Iii {s : Set X} (hs : IsPreconnected s) {l₁ l₂ : Filter X}
[NeBot l₁] [NeBot l₂] (hl₁ : l₁ ≤ 𝓟 s) (hl₂ : l₂ ≤ 𝓟 s) {f : X → α} (hf : ContinuousOn f s)
(ht₁ : Tendsto f l₁ atBot) (ht₂ : Tendsto f l₂ atTop) : univ ⊆ f '' s := fun y _ =>
hs.intermediate_value₂_eventually₂ hl₁ hl₂ hf continuousOn_const (ht₁.eventually_le_atBot y)
(ht₂.eventually_ge_atTop y)
/-- **Intermediate Value Theorem** for continuous functions on connected spaces. -/
theorem intermediate_value_univ [PreconnectedSpace X] (a b : X) {f : X → α} (hf : Continuous f) :
Icc (f a) (f b) ⊆ range f := fun _ hx => intermediate_value_univ₂ hf continuous_const hx.1 hx.2
/-- **Intermediate Value Theorem** for continuous functions on connected spaces. -/
theorem mem_range_of_exists_le_of_exists_ge [PreconnectedSpace X] {c : α} {f : X → α}
(hf : Continuous f) (h₁ : ∃ a, f a ≤ c) (h₂ : ∃ b, c ≤ f b) : c ∈ range f :=
let ⟨a, ha⟩ := h₁; let ⟨b, hb⟩ := h₂; intermediate_value_univ a b hf ⟨ha, hb⟩
/-!
### (Pre)connected sets in a linear order
In this section we prove the following results:
* `IsPreconnected.ordConnected`: any preconnected set `s` in a linear order is `OrdConnected`,
i.e. `a ∈ s` and `b ∈ s` imply `Icc a b ⊆ s`;
* `IsPreconnected.mem_intervals`: any preconnected set `s` in a conditionally complete linear order
is one of the intervals `Set.Icc`, `set.`Ico`, `set.Ioc`, `set.Ioo`, ``Set.Ici`, `Set.Iic`,
`Set.Ioi`, `Set.Iio`; note that this is false for non-complete orders: e.g., in `ℝ \ {0}`, the set
of positive numbers cannot be represented as `Set.Ioi _`.
-/
/-- If a preconnected set contains endpoints of an interval, then it includes the whole interval. -/
theorem IsPreconnected.Icc_subset {s : Set α} (hs : IsPreconnected s) {a b : α} (ha : a ∈ s)
(hb : b ∈ s) : Icc a b ⊆ s := by
simpa only [image_id] using hs.intermediate_value ha hb continuousOn_id
theorem IsPreconnected.ordConnected {s : Set α} (h : IsPreconnected s) : OrdConnected s :=
⟨fun _ hx _ hy => h.Icc_subset hx hy⟩
/-- If a preconnected set contains endpoints of an interval, then it includes the whole interval. -/
theorem IsConnected.Icc_subset {s : Set α} (hs : IsConnected s) {a b : α} (ha : a ∈ s)
(hb : b ∈ s) : Icc a b ⊆ s :=
hs.2.Icc_subset ha hb
/-- If preconnected set in a linear order space is unbounded below and above, then it is the whole
space. -/
theorem IsPreconnected.eq_univ_of_unbounded {s : Set α} (hs : IsPreconnected s) (hb : ¬BddBelow s)
(ha : ¬BddAbove s) : s = univ := by
refine eq_univ_of_forall fun x => ?_
obtain ⟨y, ys, hy⟩ : ∃ y ∈ s, y < x := not_bddBelow_iff.1 hb x
obtain ⟨z, zs, hz⟩ : ∃ z ∈ s, x < z := not_bddAbove_iff.1 ha x
exact hs.Icc_subset ys zs ⟨le_of_lt hy, le_of_lt hz⟩
end
variable {α : Type u} [ConditionallyCompleteLinearOrder α] [TopologicalSpace α] [OrderTopology α]
/-- A bounded connected subset of a conditionally complete linear order includes the open interval
`(Inf s, Sup s)`. -/
theorem IsConnected.Ioo_csInf_csSup_subset {s : Set α} (hs : IsConnected s) (hb : BddBelow s)
(ha : BddAbove s) : Ioo (sInf s) (sSup s) ⊆ s := fun _x hx =>
let ⟨_y, ys, hy⟩ := (isGLB_lt_iff (isGLB_csInf hs.nonempty hb)).1 hx.1
let ⟨_z, zs, hz⟩ := (lt_isLUB_iff (isLUB_csSup hs.nonempty ha)).1 hx.2
hs.Icc_subset ys zs ⟨hy.le, hz.le⟩
theorem eq_Icc_csInf_csSup_of_connected_bdd_closed {s : Set α} (hc : IsConnected s)
(hb : BddBelow s) (ha : BddAbove s) (hcl : IsClosed s) : s = Icc (sInf s) (sSup s) :=
(subset_Icc_csInf_csSup hb ha).antisymm <|
hc.Icc_subset (hcl.csInf_mem hc.nonempty hb) (hcl.csSup_mem hc.nonempty ha)
theorem IsPreconnected.Ioi_csInf_subset {s : Set α} (hs : IsPreconnected s) (hb : BddBelow s)
(ha : ¬BddAbove s) : Ioi (sInf s) ⊆ s := fun x hx =>
have sne : s.Nonempty := nonempty_of_not_bddAbove ha
let ⟨_y, ys, hy⟩ : ∃ y ∈ s, y < x := (isGLB_lt_iff (isGLB_csInf sne hb)).1 hx
let ⟨_z, zs, hz⟩ : ∃ z ∈ s, x < z := not_bddAbove_iff.1 ha x
hs.Icc_subset ys zs ⟨hy.le, hz.le⟩
theorem IsPreconnected.Iio_csSup_subset {s : Set α} (hs : IsPreconnected s) (hb : ¬BddBelow s)
(ha : BddAbove s) : Iio (sSup s) ⊆ s :=
IsPreconnected.Ioi_csInf_subset (α := αᵒᵈ) hs ha hb
/-- A preconnected set in a conditionally complete linear order is either one of the intervals
`[Inf s, Sup s]`, `[Inf s, Sup s)`, `(Inf s, Sup s]`, `(Inf s, Sup s)`, `[Inf s, +∞)`,
`(Inf s, +∞)`, `(-∞, Sup s]`, `(-∞, Sup s)`, `(-∞, +∞)`, or `∅`. The converse statement requires
`α` to be densely ordered. -/
theorem IsPreconnected.mem_intervals {s : Set α} (hs : IsPreconnected s) :
s ∈
({Icc (sInf s) (sSup s), Ico (sInf s) (sSup s), Ioc (sInf s) (sSup s), Ioo (sInf s) (sSup s),
Ici (sInf s), Ioi (sInf s), Iic (sSup s), Iio (sSup s), univ, ∅} : Set (Set α)) := by
rcases s.eq_empty_or_nonempty with (rfl | hne)
· apply_rules [Or.inr, mem_singleton]
have hs' : IsConnected s := ⟨hne, hs⟩
by_cases hb : BddBelow s <;> by_cases ha : BddAbove s
· refine mem_of_subset_of_mem ?_ <| mem_Icc_Ico_Ioc_Ioo_of_subset_of_subset
(hs'.Ioo_csInf_csSup_subset hb ha) (subset_Icc_csInf_csSup hb ha)
simp only [insert_subset_iff, mem_insert_iff, mem_singleton_iff, true_or, or_true,
singleton_subset_iff, and_self]
· refine Or.inr <| Or.inr <| Or.inr <| Or.inr ?_
rcases mem_Ici_Ioi_of_subset_of_subset (hs.Ioi_csInf_subset hb ha) fun x hx ↦
csInf_le hb hx with hs | hs
· exact Or.inl hs
· exact Or.inr (Or.inl hs)
· iterate 6 apply Or.inr
rcases mem_Iic_Iio_of_subset_of_subset (hs.Iio_csSup_subset hb ha) fun x hx ↦
le_csSup ha hx with hs | hs
· exact Or.inl hs
· exact Or.inr (Or.inl hs)
· iterate 8 apply Or.inr
exact Or.inl (hs.eq_univ_of_unbounded hb ha)
/-- A preconnected set is either one of the intervals `Icc`, `Ico`, `Ioc`, `Ioo`, `Ici`, `Ioi`,
`Iic`, `Iio`, or `univ`, or `∅`. The converse statement requires `α` to be densely ordered. Though
one can represent `∅` as `(Inf ∅, Inf ∅)`, we include it into the list of possible cases to improve
readability. -/
theorem setOf_isPreconnected_subset_of_ordered :
{ s : Set α | IsPreconnected s } ⊆
-- bounded intervals
(range (uncurry Icc) ∪ range (uncurry Ico) ∪ range (uncurry Ioc) ∪ range (uncurry Ioo)) ∪
-- unbounded intervals and `univ`
(range Ici ∪ range Ioi ∪ range Iic ∪ range Iio ∪ {univ, ∅}) := by
intro s hs
rcases hs.mem_intervals with (hs | hs | hs | hs | hs | hs | hs | hs | hs | hs) <;> rw [hs] <;>
simp only [union_insert, union_singleton, mem_insert_iff, mem_union, mem_range, Prod.exists,
uncurry_apply_pair, exists_apply_eq_apply, true_or, or_true, exists_apply_eq_apply2]
/-!
### Intervals are connected
In this section we prove that a closed interval (hence, any `OrdConnected` set) in a dense
conditionally complete linear order is preconnected.
-/
/-- A "continuous induction principle" for a closed interval: if a set `s` meets `[a, b]`
on a closed subset, contains `a`, and the set `s ∩ [a, b)` has no maximal point, then `b ∈ s`. -/
theorem IsClosed.mem_of_ge_of_forall_exists_gt {a b : α} {s : Set α} (hs : IsClosed (s ∩ Icc a b))
(ha : a ∈ s) (hab : a ≤ b) (hgt : ∀ x ∈ s ∩ Ico a b, (s ∩ Ioc x b).Nonempty) : b ∈ s := by
let S := s ∩ Icc a b
replace ha : a ∈ S := ⟨ha, left_mem_Icc.2 hab⟩
have Sbd : BddAbove S := ⟨b, fun z hz => hz.2.2⟩
let c := sSup (s ∩ Icc a b)
have c_mem : c ∈ S := hs.csSup_mem ⟨_, ha⟩ Sbd
have c_le : c ≤ b := csSup_le ⟨_, ha⟩ fun x hx => hx.2.2
rcases eq_or_lt_of_le c_le with hc | hc
· exact hc ▸ c_mem.1
exfalso
rcases hgt c ⟨c_mem.1, c_mem.2.1, hc⟩ with ⟨x, xs, cx, xb⟩
exact not_lt_of_le (le_csSup Sbd ⟨xs, le_trans (le_csSup Sbd ha) (le_of_lt cx), xb⟩) cx
/-- A "continuous induction principle" for a closed interval: if a set `s` meets `[a, b]`
on a closed subset, contains `a`, and for any `a ≤ x < y ≤ b`, `x ∈ s`, the set `s ∩ (x, y]`
is not empty, then `[a, b] ⊆ s`. -/
theorem IsClosed.Icc_subset_of_forall_exists_gt {a b : α} {s : Set α} (hs : IsClosed (s ∩ Icc a b))
(ha : a ∈ s) (hgt : ∀ x ∈ s ∩ Ico a b, ∀ y ∈ Ioi x, (s ∩ Ioc x y).Nonempty) : Icc a b ⊆ s := by
intro y hy
have : IsClosed (s ∩ Icc a y) := by
suffices s ∩ Icc a y = s ∩ Icc a b ∩ Icc a y by
rw [this]
exact IsClosed.inter hs isClosed_Icc
rw [inter_assoc]
congr
exact (inter_eq_self_of_subset_right <| Icc_subset_Icc_right hy.2).symm
exact
IsClosed.mem_of_ge_of_forall_exists_gt this ha hy.1 fun x hx =>
hgt x ⟨hx.1, Ico_subset_Ico_right hy.2 hx.2⟩ y hx.2.2
variable [DenselyOrdered α] {a b : α}
/-- A "continuous induction principle" for a closed interval: if a set `s` meets `[a, b]`
on a closed subset, contains `a`, and for any `x ∈ s ∩ [a, b)` the set `s` includes some open
neighborhood of `x` within `(x, +∞)`, then `[a, b] ⊆ s`. -/
theorem IsClosed.Icc_subset_of_forall_mem_nhdsWithin {a b : α} {s : Set α}
(hs : IsClosed (s ∩ Icc a b)) (ha : a ∈ s) (hgt : ∀ x ∈ s ∩ Ico a b, s ∈ 𝓝[>] x) :
Icc a b ⊆ s := by
apply hs.Icc_subset_of_forall_exists_gt ha
rintro x ⟨hxs, hxab⟩ y hyxb
have : s ∩ Ioc x y ∈ 𝓝[>] x := inter_mem (hgt x ⟨hxs, hxab⟩) (Ioc_mem_nhdsGT hyxb)
exact (nhdsGT_neBot_of_exists_gt ⟨b, hxab.2⟩).nonempty_of_mem this
theorem isPreconnected_Icc_aux (x y : α) (s t : Set α) (hxy : x ≤ y) (hs : IsClosed s)
(ht : IsClosed t) (hab : Icc a b ⊆ s ∪ t) (hx : x ∈ Icc a b ∩ s) (hy : y ∈ Icc a b ∩ t) :
(Icc a b ∩ (s ∩ t)).Nonempty := by
have xyab : Icc x y ⊆ Icc a b := Icc_subset_Icc hx.1.1 hy.1.2
by_contra hst
suffices Icc x y ⊆ s from
hst ⟨y, xyab <| right_mem_Icc.2 hxy, this <| right_mem_Icc.2 hxy, hy.2⟩
apply (IsClosed.inter hs isClosed_Icc).Icc_subset_of_forall_mem_nhdsWithin hx.2
rintro z ⟨zs, hz⟩
have zt : z ∈ tᶜ := fun zt => hst ⟨z, xyab <| Ico_subset_Icc_self hz, zs, zt⟩
have : tᶜ ∩ Ioc z y ∈ 𝓝[>] z := by
rw [← nhdsWithin_Ioc_eq_nhdsGT hz.2]
exact mem_nhdsWithin.2 ⟨tᶜ, ht.isOpen_compl, zt, Subset.rfl⟩
apply mem_of_superset this
have : Ioc z y ⊆ s ∪ t := fun w hw => hab (xyab ⟨le_trans hz.1 (le_of_lt hw.1), hw.2⟩)
exact fun w ⟨wt, wzy⟩ => (this wzy).elim id fun h => (wt h).elim
/-- A closed interval in a densely ordered conditionally complete linear order is preconnected. -/
theorem isPreconnected_Icc : IsPreconnected (Icc a b) :=
isPreconnected_closed_iff.2
(by
rintro s t hs ht hab ⟨x, hx⟩ ⟨y, hy⟩
-- This used to use `wlog`, but it was causing timeouts.
rcases le_total x y with h | h
· exact isPreconnected_Icc_aux x y s t h hs ht hab hx hy
· rw [inter_comm s t]
rw [union_comm s t] at hab
exact isPreconnected_Icc_aux y x t s h ht hs hab hy hx)
theorem isPreconnected_uIcc : IsPreconnected ([[a, b]]) :=
isPreconnected_Icc
theorem Set.OrdConnected.isPreconnected {s : Set α} (h : s.OrdConnected) : IsPreconnected s :=
isPreconnected_of_forall_pair fun x hx y hy =>
⟨[[x, y]], h.uIcc_subset hx hy, left_mem_uIcc, right_mem_uIcc, isPreconnected_uIcc⟩
theorem isPreconnected_iff_ordConnected {s : Set α} : IsPreconnected s ↔ OrdConnected s :=
⟨IsPreconnected.ordConnected, Set.OrdConnected.isPreconnected⟩
theorem isPreconnected_Ici : IsPreconnected (Ici a) :=
ordConnected_Ici.isPreconnected
theorem isPreconnected_Iic : IsPreconnected (Iic a) :=
ordConnected_Iic.isPreconnected
theorem isPreconnected_Iio : IsPreconnected (Iio a) :=
ordConnected_Iio.isPreconnected
theorem isPreconnected_Ioi : IsPreconnected (Ioi a) :=
ordConnected_Ioi.isPreconnected
theorem isPreconnected_Ioo : IsPreconnected (Ioo a b) :=
ordConnected_Ioo.isPreconnected
theorem isPreconnected_Ioc : IsPreconnected (Ioc a b) :=
ordConnected_Ioc.isPreconnected
theorem isPreconnected_Ico : IsPreconnected (Ico a b) :=
ordConnected_Ico.isPreconnected
theorem isConnected_Ici : IsConnected (Ici a) :=
⟨nonempty_Ici, isPreconnected_Ici⟩
theorem isConnected_Iic : IsConnected (Iic a) :=
⟨nonempty_Iic, isPreconnected_Iic⟩
theorem isConnected_Ioi [NoMaxOrder α] : IsConnected (Ioi a) :=
⟨nonempty_Ioi, isPreconnected_Ioi⟩
theorem isConnected_Iio [NoMinOrder α] : IsConnected (Iio a) :=
⟨nonempty_Iio, isPreconnected_Iio⟩
theorem isConnected_Icc (h : a ≤ b) : IsConnected (Icc a b) :=
⟨nonempty_Icc.2 h, isPreconnected_Icc⟩
theorem isConnected_Ioo (h : a < b) : IsConnected (Ioo a b) :=
⟨nonempty_Ioo.2 h, isPreconnected_Ioo⟩
theorem isConnected_Ioc (h : a < b) : IsConnected (Ioc a b) :=
⟨nonempty_Ioc.2 h, isPreconnected_Ioc⟩
theorem isConnected_Ico (h : a < b) : IsConnected (Ico a b) :=
⟨nonempty_Ico.2 h, isPreconnected_Ico⟩
instance (priority := 100) ordered_connected_space : PreconnectedSpace α :=
⟨ordConnected_univ.isPreconnected⟩
/-- In a dense conditionally complete linear order, the set of preconnected sets is exactly
the set of the intervals `Icc`, `Ico`, `Ioc`, `Ioo`, `Ici`, `Ioi`, `Iic`, `Iio`, `(-∞, +∞)`,
or `∅`. Though one can represent `∅` as `(sInf s, sInf s)`, we include it into the list of
possible cases to improve readability. -/
theorem setOf_isPreconnected_eq_of_ordered :
{ s : Set α | IsPreconnected s } =
-- bounded intervals
range (uncurry Icc) ∪ range (uncurry Ico) ∪ range (uncurry Ioc) ∪ range (uncurry Ioo) ∪
-- unbounded intervals and `univ`
(range Ici ∪ range Ioi ∪ range Iic ∪ range Iio ∪ {univ, ∅}) := by
refine Subset.antisymm setOf_isPreconnected_subset_of_ordered ?_
simp only [subset_def, forall_mem_range, uncurry, or_imp, forall_and, mem_union,
mem_setOf_eq, insert_eq, mem_singleton_iff, forall_eq, forall_true_iff, and_true,
isPreconnected_Icc, isPreconnected_Ico, isPreconnected_Ioc, isPreconnected_Ioo,
isPreconnected_Ioi, isPreconnected_Iio, isPreconnected_Ici, isPreconnected_Iic,
isPreconnected_univ, isPreconnected_empty]
/-- This lemmas characterizes when a subset `s` of a densely ordered conditionally complete linear
order is totally disconnected with respect to the order topology: between any two distinct points
of `s` must lie a point not in `s`. -/
lemma isTotallyDisconnected_iff_lt {s : Set α} :
IsTotallyDisconnected s ↔ ∀ x ∈ s, ∀ y ∈ s, x < y → ∃ z ∉ s, z ∈ Ioo x y := by
simp only [IsTotallyDisconnected, isPreconnected_iff_ordConnected, ← not_nontrivial_iff,
nontrivial_iff_exists_lt, not_exists, not_and]
refine ⟨fun h x hx y hy hxy ↦ ?_, fun h t hts ht x hx y hy hxy ↦ ?_⟩
· simp_rw [← not_ordConnected_inter_Icc_iff hx hy]
exact fun hs ↦ h _ inter_subset_left hs _ ⟨hx, le_rfl, hxy.le⟩ _ ⟨hy, hxy.le, le_rfl⟩ hxy
· obtain ⟨z, h1z, h2z⟩ := h x (hts hx) y (hts hy) hxy
exact h1z <| hts <| ht.1 hx hy ⟨h2z.1.le, h2z.2.le⟩
/-!
### Intermediate Value Theorem on an interval
In this section we prove several versions of the Intermediate Value Theorem for a function
continuous on an interval.
-/
variable {δ : Type*} [LinearOrder δ] [TopologicalSpace δ] [OrderClosedTopology δ]
/-- **Intermediate Value Theorem** for continuous functions on closed intervals, case
`f a ≤ t ≤ f b`. -/
theorem intermediate_value_Icc {a b : α} (hab : a ≤ b) {f : α → δ} (hf : ContinuousOn f (Icc a b)) :
Icc (f a) (f b) ⊆ f '' Icc a b :=
isPreconnected_Icc.intermediate_value (left_mem_Icc.2 hab) (right_mem_Icc.2 hab) hf
/-- **Intermediate Value Theorem** for continuous functions on closed intervals, case
`f a ≥ t ≥ f b`. -/
theorem intermediate_value_Icc' {a b : α} (hab : a ≤ b) {f : α → δ}
(hf : ContinuousOn f (Icc a b)) : Icc (f b) (f a) ⊆ f '' Icc a b :=
isPreconnected_Icc.intermediate_value (right_mem_Icc.2 hab) (left_mem_Icc.2 hab) hf
/-- **Intermediate Value Theorem** for continuous functions on closed intervals, unordered case. -/
theorem intermediate_value_uIcc {a b : α} {f : α → δ} (hf : ContinuousOn f [[a, b]]) :
[[f a, f b]] ⊆ f '' uIcc a b := by
cases le_total (f a) (f b) <;> simp [*, isPreconnected_uIcc.intermediate_value]
/-- If `f : α → α` is continuous on `[[a, b]]`, `a ≤ f a`, and `f b ≤ b`,
then `f` has a fixed point on `[[a, b]]`. -/
theorem exists_mem_uIcc_isFixedPt {a b : α} {f : α → α} (hf : ContinuousOn f (uIcc a b))
(ha : a ≤ f a) (hb : f b ≤ b) : ∃ c ∈ [[a, b]], IsFixedPt f c :=
isPreconnected_uIcc.intermediate_value₂ right_mem_uIcc left_mem_uIcc hf continuousOn_id hb ha
/-- If `f : α → α` is continuous on `[a, b]`, `a ≤ b`, `a ≤ f a`, and `f b ≤ b`,
then `f` has a fixed point on `[a, b]`.
In particular, if `[a, b]` is forward-invariant under `f`,
then `f` has a fixed point on `[a, b]`, see `exists_mem_Icc_isFixedPt_of_mapsTo`. -/
theorem exists_mem_Icc_isFixedPt {a b : α} {f : α → α} (hf : ContinuousOn f (Icc a b))
(hle : a ≤ b) (ha : a ≤ f a) (hb : f b ≤ b) : ∃ c ∈ Icc a b, IsFixedPt f c :=
isPreconnected_Icc.intermediate_value₂
(right_mem_Icc.2 hle) (left_mem_Icc.2 hle) hf continuousOn_id hb ha
/-- If a closed interval is forward-invariant under a continuous map `f : α → α`,
then this map has a fixed point on this interval. -/
theorem exists_mem_Icc_isFixedPt_of_mapsTo {a b : α} {f : α → α} (hf : ContinuousOn f (Icc a b))
(hle : a ≤ b) (hmaps : MapsTo f (Icc a b) (Icc a b)) : ∃ c ∈ Icc a b, IsFixedPt f c :=
exists_mem_Icc_isFixedPt hf hle (hmaps <| left_mem_Icc.2 hle).1 (hmaps <| right_mem_Icc.2 hle).2
theorem intermediate_value_Ico {a b : α} (hab : a ≤ b) {f : α → δ} (hf : ContinuousOn f (Icc a b)) :
Ico (f a) (f b) ⊆ f '' Ico a b :=
Or.elim (eq_or_lt_of_le hab) (fun he _ h => absurd h.2 (not_lt_of_le (he ▸ h.1))) fun hlt =>
@IsPreconnected.intermediate_value_Ico _ _ _ _ _ _ _ isPreconnected_Ico _ _ ⟨refl a, hlt⟩
(right_nhdsWithin_Ico_neBot hlt) inf_le_right _ (hf.mono Ico_subset_Icc_self) _
((hf.continuousWithinAt ⟨hab, refl b⟩).mono Ico_subset_Icc_self)
theorem intermediate_value_Ico' {a b : α} (hab : a ≤ b) {f : α → δ}
(hf : ContinuousOn f (Icc a b)) : Ioc (f b) (f a) ⊆ f '' Ico a b :=
Or.elim (eq_or_lt_of_le hab) (fun he _ h => absurd h.1 (not_lt_of_le (he ▸ h.2))) fun hlt =>
@IsPreconnected.intermediate_value_Ioc _ _ _ _ _ _ _ isPreconnected_Ico _ _ ⟨refl a, hlt⟩
(right_nhdsWithin_Ico_neBot hlt) inf_le_right _ (hf.mono Ico_subset_Icc_self) _
((hf.continuousWithinAt ⟨hab, refl b⟩).mono Ico_subset_Icc_self)
theorem intermediate_value_Ioc {a b : α} (hab : a ≤ b) {f : α → δ} (hf : ContinuousOn f (Icc a b)) :
Ioc (f a) (f b) ⊆ f '' Ioc a b :=
Or.elim (eq_or_lt_of_le hab) (fun he _ h => absurd h.2 (not_le_of_lt (he ▸ h.1))) fun hlt =>
@IsPreconnected.intermediate_value_Ioc _ _ _ _ _ _ _ isPreconnected_Ioc _ _ ⟨hlt, refl b⟩
(left_nhdsWithin_Ioc_neBot hlt) inf_le_right _ (hf.mono Ioc_subset_Icc_self) _
((hf.continuousWithinAt ⟨refl a, hab⟩).mono Ioc_subset_Icc_self)
theorem intermediate_value_Ioc' {a b : α} (hab : a ≤ b) {f : α → δ}
(hf : ContinuousOn f (Icc a b)) : Ico (f b) (f a) ⊆ f '' Ioc a b :=
Or.elim (eq_or_lt_of_le hab) (fun he _ h => absurd h.1 (not_le_of_lt (he ▸ h.2))) fun hlt =>
@IsPreconnected.intermediate_value_Ico _ _ _ _ _ _ _ isPreconnected_Ioc _ _ ⟨hlt, refl b⟩
(left_nhdsWithin_Ioc_neBot hlt) inf_le_right _ (hf.mono Ioc_subset_Icc_self) _
((hf.continuousWithinAt ⟨refl a, hab⟩).mono Ioc_subset_Icc_self)
theorem intermediate_value_Ioo {a b : α} (hab : a ≤ b) {f : α → δ} (hf : ContinuousOn f (Icc a b)) :
Ioo (f a) (f b) ⊆ f '' Ioo a b :=
Or.elim (eq_or_lt_of_le hab) (fun he _ h => absurd h.2 (not_lt_of_lt (he ▸ h.1))) fun hlt =>
@IsPreconnected.intermediate_value_Ioo _ _ _ _ _ _ _ isPreconnected_Ioo _ _
(left_nhdsWithin_Ioo_neBot hlt) (right_nhdsWithin_Ioo_neBot hlt) inf_le_right inf_le_right _
(hf.mono Ioo_subset_Icc_self) _ _
((hf.continuousWithinAt ⟨refl a, hab⟩).mono Ioo_subset_Icc_self)
((hf.continuousWithinAt ⟨hab, refl b⟩).mono Ioo_subset_Icc_self)
| theorem intermediate_value_Ioo' {a b : α} (hab : a ≤ b) {f : α → δ}
(hf : ContinuousOn f (Icc a b)) : Ioo (f b) (f a) ⊆ f '' Ioo a b :=
Or.elim (eq_or_lt_of_le hab) (fun he _ h => absurd h.1 (not_lt_of_lt (he ▸ h.2))) fun hlt =>
| Mathlib/Topology/Order/IntermediateValue.lean | 546 | 548 |
/-
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.CategoryTheory.Extensive
import Mathlib.CategoryTheory.Limits.Shapes.KernelPair
import Mathlib.CategoryTheory.Limits.Constructions.EpiMono
/-!
# Adhesive categories
## Main definitions
- `CategoryTheory.IsPushout.IsVanKampen`: A convenience formulation for a pushout being
a van Kampen colimit.
- `CategoryTheory.Adhesive`: A category is adhesive if it has pushouts and pullbacks along
monomorphisms, and such pushouts are van Kampen.
## Main Results
- `CategoryTheory.Type.adhesive`: The category of `Type` is adhesive.
- `CategoryTheory.Adhesive.isPullback_of_isPushout_of_mono_left`: In adhesive categories,
pushouts along monomorphisms are pullbacks.
- `CategoryTheory.Adhesive.mono_of_isPushout_of_mono_left`: In adhesive categories,
monomorphisms are stable under pushouts.
- `CategoryTheory.Adhesive.toRegularMonoCategory`: Monomorphisms in adhesive categories are
regular (this implies that adhesive categories are balanced).
- `CategoryTheory.adhesive_functor`: The category `C ⥤ D` is adhesive if `D`
has all pullbacks and all pushouts and is adhesive
## References
- https://ncatlab.org/nlab/show/adhesive+category
- [Stephen Lack and Paweł Sobociński, Adhesive Categories][adhesive2004]
-/
namespace CategoryTheory
open Limits
universe v' u' v u
variable {J : Type v'} [Category.{u'} J] {C : Type u} [Category.{v} C]
variable {W X Y Z : C} {f : W ⟶ X} {g : W ⟶ Y} {h : X ⟶ Z} {i : Y ⟶ Z}
-- This only makes sense when the original diagram is a pushout.
/-- A convenience formulation for a pushout being a van Kampen colimit.
See `IsPushout.isVanKampen_iff` below. -/
@[nolint unusedArguments]
def IsPushout.IsVanKampen (_ : IsPushout f g h i) : Prop :=
∀ ⦃W' X' Y' Z' : C⦄ (f' : W' ⟶ X') (g' : W' ⟶ Y') (h' : X' ⟶ Z') (i' : Y' ⟶ Z') (αW : W' ⟶ W)
(αX : X' ⟶ X) (αY : Y' ⟶ Y) (αZ : Z' ⟶ Z) (_ : IsPullback f' αW αX f)
(_ : IsPullback g' αW αY g) (_ : CommSq h' αX αZ h) (_ : CommSq i' αY αZ i)
(_ : CommSq f' g' h' i'), IsPushout f' g' h' i' ↔ IsPullback h' αX αZ h ∧ IsPullback i' αY αZ i
theorem IsPushout.IsVanKampen.flip {H : IsPushout f g h i} (H' : H.IsVanKampen) :
H.flip.IsVanKampen := by
introv W' hf hg hh hi w
simpa only [IsPushout.flip_iff, IsPullback.flip_iff, and_comm] using
H' g' f' i' h' αW αY αX αZ hg hf hi hh w.flip
theorem IsPushout.isVanKampen_iff (H : IsPushout f g h i) :
H.IsVanKampen ↔ IsVanKampenColimit (PushoutCocone.mk h i H.w) := by
constructor
· intro H F' c' α fα eα hα
refine Iff.trans ?_
((H (F'.map WalkingSpan.Hom.fst) (F'.map WalkingSpan.Hom.snd) (c'.ι.app _) (c'.ι.app _)
(α.app _) (α.app _) (α.app _) fα (by convert hα WalkingSpan.Hom.fst)
(by convert hα WalkingSpan.Hom.snd) ?_ ?_ ?_).trans ?_)
· have : F'.map WalkingSpan.Hom.fst ≫ c'.ι.app WalkingSpan.left =
F'.map WalkingSpan.Hom.snd ≫ c'.ι.app WalkingSpan.right := by
simp only [Cocone.w]
rw [(IsColimit.equivOfNatIsoOfIso (diagramIsoSpan F') c' (PushoutCocone.mk _ _ this)
_).nonempty_congr]
· exact ⟨fun h => ⟨⟨this⟩, h⟩, fun h => h.2⟩
· refine Cocones.ext (Iso.refl c'.pt) ?_
rintro (_ | _ | _) <;> dsimp <;>
simp only [c'.w, Category.assoc, Category.id_comp, Category.comp_id]
· exact ⟨NatTrans.congr_app eα.symm _⟩
· exact ⟨NatTrans.congr_app eα.symm _⟩
· exact ⟨by simp⟩
constructor
· rintro ⟨h₁, h₂⟩ (_ | _ | _)
· rw [← c'.w WalkingSpan.Hom.fst]; exact (hα WalkingSpan.Hom.fst).paste_horiz h₁
exacts [h₁, h₂]
· intro h; exact ⟨h _, h _⟩
· introv H W' hf hg hh hi w
refine
Iff.trans ?_ ((H w.cocone ⟨by rintro (_ | _ | _); exacts [αW, αX, αY], ?_⟩ αZ ?_ ?_).trans ?_)
rotate_left
· rintro i _ (_ | _ | _)
· dsimp; simp only [Functor.map_id, Category.comp_id, Category.id_comp]
exacts [hf.w, hg.w]
· ext (_ | _ | _)
· dsimp
rw [PushoutCocone.condition_zero, Category.assoc]
erw [hh.w]
rw [hf.w_assoc]
exacts [hh.w.symm, hi.w.symm]
· rintro i _ (_ | _ | _)
· dsimp; simp_rw [Functor.map_id]
exact IsPullback.of_horiz_isIso ⟨by rw [Category.comp_id, Category.id_comp]⟩
exacts [hf, hg]
· constructor
· intro h; exact ⟨h WalkingCospan.left, h WalkingCospan.right⟩
· rintro ⟨h₁, h₂⟩ (_ | _ | _)
· dsimp; rw [PushoutCocone.condition_zero]; exact hf.paste_horiz h₁
exacts [h₁, h₂]
· exact ⟨fun h => h.2, fun h => ⟨w, h⟩⟩
theorem is_coprod_iff_isPushout {X E Y YE : C} (c : BinaryCofan X E) (hc : IsColimit c) {f : X ⟶ Y}
{iY : Y ⟶ YE} {fE : c.pt ⟶ YE} (H : CommSq f c.inl iY fE) :
Nonempty (IsColimit (BinaryCofan.mk (c.inr ≫ fE) iY)) ↔ IsPushout f c.inl iY fE := by
constructor
· rintro ⟨h⟩
refine ⟨H, ⟨Limits.PushoutCocone.isColimitAux' _ ?_⟩⟩
intro s
dsimp only [PushoutCocone.inr, PushoutCocone.mk] -- Porting note: Originally `dsimp`
refine ⟨h.desc (BinaryCofan.mk (c.inr ≫ s.inr) s.inl), h.fac _ ⟨WalkingPair.right⟩, ?_, ?_⟩
· apply BinaryCofan.IsColimit.hom_ext hc
· rw [← H.w_assoc]; erw [h.fac _ ⟨WalkingPair.right⟩]; exact s.condition
· rw [← Category.assoc]; exact h.fac _ ⟨WalkingPair.left⟩
· intro m e₁ e₂
apply BinaryCofan.IsColimit.hom_ext h
· dsimp only [BinaryCofan.mk, id] -- Porting note: Originally `dsimp`
rw [Category.assoc, e₂, eq_comm]; exact h.fac _ ⟨WalkingPair.left⟩
· refine e₁.trans (Eq.symm ?_); exact h.fac _ _
· refine fun H => ⟨?_⟩
fapply Limits.BinaryCofan.isColimitMk
· exact fun s => H.isColimit.desc (PushoutCocone.mk s.inr _ <|
(hc.fac (BinaryCofan.mk (f ≫ s.inr) s.inl) ⟨WalkingPair.left⟩).symm)
· intro s
rw [Category.assoc]
erw [H.isColimit.fac _ WalkingSpan.right]
erw [hc.fac]
rfl
· intro s; exact H.isColimit.fac _ WalkingSpan.left
· intro s m e₁ e₂
apply PushoutCocone.IsColimit.hom_ext H.isColimit
· symm; exact (H.isColimit.fac _ WalkingSpan.left).trans e₂.symm
· rw [H.isColimit.fac _ WalkingSpan.right]
apply BinaryCofan.IsColimit.hom_ext hc
· erw [hc.fac]
erw [← H.w_assoc]
rw [e₂]
rfl
· refine ((Category.assoc _ _ _).symm.trans e₁).trans ?_; symm; exact hc.fac _ _
theorem IsPushout.isVanKampen_inl {W E X Z : C} (c : BinaryCofan W E) [FinitaryExtensive C]
[HasPullbacks C] (hc : IsColimit c) (f : W ⟶ X) (h : X ⟶ Z) (i : c.pt ⟶ Z)
(H : IsPushout f c.inl h i) : H.IsVanKampen := by
obtain ⟨hc₁⟩ := (is_coprod_iff_isPushout c hc H.1).mpr H
introv W' hf hg hh hi w
obtain ⟨hc₂⟩ := ((BinaryCofan.isVanKampen_iff _).mp (FinitaryExtensive.vanKampen c hc)
(BinaryCofan.mk _ (pullback.fst _ _)) _ _ _ hg.w.symm pullback.condition.symm).mpr
⟨hg, IsPullback.of_hasPullback αY c.inr⟩
refine (is_coprod_iff_isPushout _ hc₂ w).symm.trans ?_
refine ((BinaryCofan.isVanKampen_iff _).mp (FinitaryExtensive.vanKampen _ hc₁)
(BinaryCofan.mk _ _) (pullback.snd _ _) _ _ ?_ hh.w.symm).trans ?_
· dsimp; rw [← pullback.condition_assoc, Category.assoc, hi.w]
constructor
· rintro ⟨hc₃, hc₄⟩
refine ⟨hc₄, ?_⟩
let Y'' := pullback αZ i
let cmp : Y' ⟶ Y'' := pullback.lift i' αY hi.w
have e₁ : (g' ≫ cmp) ≫ pullback.snd _ _ = αW ≫ c.inl := by
rw [Category.assoc, pullback.lift_snd, hg.w]
have e₂ : (pullback.fst _ _ ≫ cmp : pullback αY c.inr ⟶ _) ≫ pullback.snd _ _ =
pullback.snd _ _ ≫ c.inr := by
rw [Category.assoc, pullback.lift_snd, pullback.condition]
obtain ⟨hc₄⟩ := ((BinaryCofan.isVanKampen_iff _).mp (FinitaryExtensive.vanKampen c hc)
(BinaryCofan.mk _ _) αW _ _ e₁.symm e₂.symm).mpr <| by
constructor
· apply IsPullback.of_right _ e₁ (IsPullback.of_hasPullback _ _)
rw [Category.assoc, pullback.lift_fst, ← H.w, ← w.w]; exact hf.paste_horiz hc₄
· apply IsPullback.of_right _ e₂ (IsPullback.of_hasPullback _ _)
rw [Category.assoc, pullback.lift_fst]; exact hc₃
rw [← Category.id_comp αZ, ← show cmp ≫ pullback.snd _ _ = αY from pullback.lift_snd _ _ _]
apply IsPullback.paste_vert _ (IsPullback.of_hasPullback αZ i)
have : cmp = (hc₂.coconePointUniqueUpToIso hc₄).hom := by
apply BinaryCofan.IsColimit.hom_ext hc₂
exacts [(hc₂.comp_coconePointUniqueUpToIso_hom hc₄ ⟨WalkingPair.left⟩).symm,
(hc₂.comp_coconePointUniqueUpToIso_hom hc₄ ⟨WalkingPair.right⟩).symm]
rw [this]
exact IsPullback.of_vert_isIso ⟨by rw [← this, Category.comp_id, pullback.lift_fst]⟩
· rintro ⟨hc₃, hc₄⟩
exact ⟨(IsPullback.of_hasPullback αY c.inr).paste_horiz hc₄, hc₃⟩
theorem IsPushout.IsVanKampen.isPullback_of_mono_left [Mono f] {H : IsPushout f g h i}
(H' : H.IsVanKampen) : IsPullback f g h i :=
((H' (𝟙 _) g g (𝟙 Y) (𝟙 _) f (𝟙 _) i (IsKernelPair.id_of_mono f)
(IsPullback.of_vert_isIso ⟨by simp⟩) H.1.flip ⟨rfl⟩ ⟨by simp⟩).mp
(IsPushout.of_horiz_isIso ⟨by simp⟩)).1.flip
theorem IsPushout.IsVanKampen.isPullback_of_mono_right [Mono g] {H : IsPushout f g h i}
(H' : H.IsVanKampen) : IsPullback f g h i :=
((H' f (𝟙 _) (𝟙 _) f (𝟙 _) (𝟙 _) g h (IsPullback.of_vert_isIso ⟨by simp⟩)
(IsKernelPair.id_of_mono g) ⟨rfl⟩ H.1 ⟨by simp⟩).mp
(IsPushout.of_vert_isIso ⟨by simp⟩)).2
|
theorem IsPushout.IsVanKampen.mono_of_mono_left [Mono f] {H : IsPushout f g h i}
(H' : H.IsVanKampen) : Mono i :=
IsKernelPair.mono_of_isIso_fst
((H' (𝟙 _) g g (𝟙 Y) (𝟙 _) f (𝟙 _) i (IsKernelPair.id_of_mono f)
(IsPullback.of_vert_isIso ⟨by simp⟩) H.1.flip ⟨rfl⟩ ⟨by simp⟩).mp
| Mathlib/CategoryTheory/Adhesive.lean | 201 | 206 |
/-
Copyright (c) 2018 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Jens Wagemaker, Anne Baanen
-/
import Mathlib.Algebra.BigOperators.Finsupp.Basic
import Mathlib.Algebra.Group.Submonoid.Membership
import Mathlib.Algebra.GroupWithZero.Associated
/-!
# Products of associated, prime, and irreducible elements.
This file contains some theorems relating definitions in `Algebra.Associated`
and products of multisets, finsets, and finsupps.
-/
assert_not_exists Field
variable {α β γ δ : Type*}
-- the same local notation used in `Algebra.Associated`
local infixl:50 " ~ᵤ " => Associated
namespace Prime
variable [CommMonoidWithZero α] {p : α}
theorem exists_mem_multiset_dvd (hp : Prime p) {s : Multiset α} : p ∣ s.prod → ∃ a ∈ s, p ∣ a :=
Multiset.induction_on s (fun h => (hp.not_dvd_one h).elim) fun a s ih h =>
have : p ∣ a * s.prod := by simpa using h
match hp.dvd_or_dvd this with
| Or.inl h => ⟨a, Multiset.mem_cons_self a s, h⟩
| Or.inr h =>
let ⟨a, has, h⟩ := ih h
⟨a, Multiset.mem_cons_of_mem has, h⟩
theorem exists_mem_multiset_map_dvd (hp : Prime p) {s : Multiset β} {f : β → α} :
p ∣ (s.map f).prod → ∃ a ∈ s, p ∣ f a := fun h => by
simpa only [exists_prop, Multiset.mem_map, exists_exists_and_eq_and] using
hp.exists_mem_multiset_dvd h
theorem exists_mem_finset_dvd (hp : Prime p) {s : Finset β} {f : β → α} :
p ∣ s.prod f → ∃ i ∈ s, p ∣ f i :=
hp.exists_mem_multiset_map_dvd
end Prime
theorem Prod.associated_iff {M N : Type*} [Monoid M] [Monoid N] {x z : M × N} :
x ~ᵤ z ↔ x.1 ~ᵤ z.1 ∧ x.2 ~ᵤ z.2 :=
⟨fun ⟨u, hu⟩ => ⟨⟨(MulEquiv.prodUnits.toFun u).1, (Prod.eq_iff_fst_eq_snd_eq.1 hu).1⟩,
⟨(MulEquiv.prodUnits.toFun u).2, (Prod.eq_iff_fst_eq_snd_eq.1 hu).2⟩⟩,
fun ⟨⟨u₁, h₁⟩, ⟨u₂, h₂⟩⟩ =>
⟨MulEquiv.prodUnits.invFun (u₁, u₂), Prod.eq_iff_fst_eq_snd_eq.2 ⟨h₁, h₂⟩⟩⟩
theorem Associated.prod {M : Type*} [CommMonoid M] {ι : Type*} (s : Finset ι) (f : ι → M)
(g : ι → M) (h : ∀ i, i ∈ s → (f i) ~ᵤ (g i)) : (∏ i ∈ s, f i) ~ᵤ (∏ i ∈ s, g i) := by
induction s using Finset.induction with
| empty =>
simp only [Finset.prod_empty]
rfl
| insert j s hjs IH =>
classical
convert_to (∏ i ∈ insert j s, f i) ~ᵤ (∏ i ∈ insert j s, g i)
rw [Finset.prod_insert hjs, Finset.prod_insert hjs]
exact Associated.mul_mul (h j (Finset.mem_insert_self j s))
(IH (fun i hi ↦ h i (Finset.mem_insert_of_mem hi)))
theorem exists_associated_mem_of_dvd_prod [CancelCommMonoidWithZero α] {p : α} (hp : Prime p)
{s : Multiset α} : (∀ r ∈ s, Prime r) → p ∣ s.prod → ∃ q ∈ s, p ~ᵤ q :=
Multiset.induction_on s (by simp [mt isUnit_iff_dvd_one.2 hp.not_unit]) fun a s ih hs hps => by
rw [Multiset.prod_cons] at hps
rcases hp.dvd_or_dvd hps with h | h
· have hap := hs a (Multiset.mem_cons.2 (Or.inl rfl))
exact ⟨a, Multiset.mem_cons_self a _, hp.associated_of_dvd hap h⟩
· rcases ih (fun r hr => hs _ (Multiset.mem_cons.2 (Or.inr hr))) h with ⟨q, hq₁, hq₂⟩
exact ⟨q, Multiset.mem_cons.2 (Or.inr hq₁), hq₂⟩
open Submonoid in
/-- Let x, y ∈ α. If x * y can be written as a product of units and prime elements, then x can be
written as a product of units and prime elements. -/
theorem divisor_closure_eq_closure [CancelCommMonoidWithZero α]
(x y : α) (hxy : x * y ∈ closure { r : α | IsUnit r ∨ Prime r}) :
x ∈ closure { r : α | IsUnit r ∨ Prime r} := by
obtain ⟨m, hm, hprod⟩ := exists_multiset_of_mem_closure hxy
induction m using Multiset.induction generalizing x y with
| empty =>
apply subset_closure
simp only [Set.mem_setOf]
simp only [Multiset.prod_zero] at hprod
left; exact isUnit_of_mul_eq_one _ _ hprod.symm
| cons c s hind =>
simp only [Multiset.mem_cons, forall_eq_or_imp, Set.mem_setOf] at hm
simp only [Multiset.prod_cons] at hprod
simp only [Set.mem_setOf_eq] at hind
obtain ⟨ha₁ | ha₂, hs⟩ := hm
· rcases ha₁.exists_right_inv with ⟨k, hk⟩
refine hind x (y*k) ?_ hs ?_
· simp only [← mul_assoc, ← hprod, ← Multiset.prod_cons, mul_comm]
refine multiset_prod_mem _ _ (Multiset.forall_mem_cons.2 ⟨subset_closure (Set.mem_def.2 ?_),
Multiset.forall_mem_cons.2 ⟨subset_closure (Set.mem_def.2 ?_), (fun t ht =>
subset_closure (hs t ht))⟩⟩)
· left; exact isUnit_of_mul_eq_one_right _ _ hk
· left; exact ha₁
· rw [← mul_one s.prod, ← hk, ← mul_assoc, ← mul_assoc, mul_eq_mul_right_iff, mul_comm]
left; exact hprod
· rcases ha₂.dvd_mul.1 (Dvd.intro _ hprod) with ⟨c, hc⟩ | ⟨c, hc⟩
· rw [hc]; rw [hc, mul_assoc] at hprod
refine Submonoid.mul_mem _ (subset_closure (Set.mem_def.2 ?_))
(hind _ _ ?_ hs (mul_left_cancel₀ ha₂.ne_zero hprod))
· right; exact ha₂
rw [← mul_left_cancel₀ ha₂.ne_zero hprod]
exact multiset_prod_mem _ _ (fun t ht => subset_closure (hs t ht))
rw [hc, mul_comm x _, mul_assoc, mul_comm c _] at hprod
refine hind x c ?_ hs (mul_left_cancel₀ ha₂.ne_zero hprod)
rw [← mul_left_cancel₀ ha₂.ne_zero hprod]
exact multiset_prod_mem _ _ (fun t ht => subset_closure (hs t ht))
theorem Multiset.prod_primes_dvd [CancelCommMonoidWithZero α]
[∀ a : α, DecidablePred (Associated a)] {s : Multiset α} (n : α) (h : ∀ a ∈ s, Prime a)
(div : ∀ a ∈ s, a ∣ n) (uniq : ∀ a, s.countP (Associated a) ≤ 1) : s.prod ∣ n := by
induction s using Multiset.induction_on generalizing n with
| empty => simp only [Multiset.prod_zero, one_dvd]
| cons a s induct =>
rw [Multiset.prod_cons]
obtain ⟨k, rfl⟩ : a ∣ n := div a (Multiset.mem_cons_self a s)
apply mul_dvd_mul_left a
refine induct _ (fun a ha => h a (Multiset.mem_cons_of_mem ha)) (fun b b_in_s => ?_)
fun a => (Multiset.countP_le_of_le _ (Multiset.le_cons_self _ _)).trans (uniq a)
have b_div_n := div b (Multiset.mem_cons_of_mem b_in_s)
have a_prime := h a (Multiset.mem_cons_self a s)
have b_prime := h b (Multiset.mem_cons_of_mem b_in_s)
refine (b_prime.dvd_or_dvd b_div_n).resolve_left fun b_div_a => ?_
have assoc := b_prime.associated_of_dvd a_prime b_div_a
have := uniq a
rw [Multiset.countP_cons_of_pos _ (Associated.refl _), Nat.succ_le_succ_iff, ← not_lt,
Multiset.countP_pos] at this
exact this ⟨b, b_in_s, assoc.symm⟩
|
theorem Finset.prod_primes_dvd [CancelCommMonoidWithZero α] [Subsingleton αˣ] {s : Finset α} (n : α)
(h : ∀ a ∈ s, Prime a) (div : ∀ a ∈ s, a ∣ n) : (∏ p ∈ s, p) ∣ n := by
classical
| Mathlib/Algebra/BigOperators/Associated.lean | 139 | 142 |
/-
Copyright (c) 2021 Roberto Alvarez. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Roberto Alvarez
-/
import Mathlib.AlgebraicTopology.FundamentalGroupoid.FundamentalGroup
import Mathlib.GroupTheory.EckmannHilton
import Mathlib.Algebra.Equiv.TransferInstance
import Mathlib.Algebra.Group.Ext
/-!
# `n`th homotopy group
We define the `n`th homotopy group at `x : X`, `π_n X x`, as the equivalence classes
of functions from the `n`-dimensional cube to the topological space `X`
that send the boundary to the base point `x`, up to homotopic equivalence.
Note that such functions are generalized loops `GenLoop (Fin n) x`; in particular
`GenLoop (Fin 1) x ≃ Path x x`.
We show that `π_0 X x` is equivalent to the path-connected components, and
that `π_1 X x` is equivalent to the fundamental group at `x`.
We provide a group instance using path composition and show commutativity when `n > 1`.
## definitions
* `GenLoop N x` is the type of continuous functions `I^N → X` that send the boundary to `x`,
* `HomotopyGroup.Pi n X x` denoted `π_ n X x` is the quotient of `GenLoop (Fin n) x` by
homotopy relative to the boundary,
* group instance `Group (π_(n+1) X x)`,
* commutative group instance `CommGroup (π_(n+2) X x)`.
TODO:
* `Ω^M (Ω^N X) ≃ₜ Ω^(M⊕N) X`, and `Ω^M X ≃ₜ Ω^N X` when `M ≃ N`. Similarly for `π_`.
* Path-induced homomorphisms. Show that `HomotopyGroup.pi1EquivFundamentalGroup`
is a group isomorphism.
* Examples with `𝕊^n`: `π_n (𝕊^n) = ℤ`, `π_m (𝕊^n)` trivial for `m < n`.
* Actions of π_1 on π_n.
* Lie algebra: `⁅π_(n+1), π_(m+1)⁆` contained in `π_(n+m+1)`.
-/
open scoped unitInterval Topology
open Homeomorph
noncomputable section
/-- `I^N` is notation (in the Topology namespace) for `N → I`,
i.e. the unit cube indexed by a type `N`. -/
scoped[Topology] notation "I^" N => N → I
namespace Cube
/-- The points in a cube with at least one projection equal to 0 or 1. -/
def boundary (N : Type*) : Set (I^N) :=
{y | ∃ i, y i = 0 ∨ y i = 1}
variable {N : Type*} [DecidableEq N]
/-- The forward direction of the homeomorphism
between the cube $I^N$ and $I × I^{N\setminus\{j\}}$. -/
abbrev splitAt (i : N) : (I^N) ≃ₜ I × I^{ j // j ≠ i } :=
funSplitAt I i
/-- The backward direction of the homeomorphism
between the cube $I^N$ and $I × I^{N\setminus\{j\}}$. -/
abbrev insertAt (i : N) : (I × I^{ j // j ≠ i }) ≃ₜ I^N :=
(funSplitAt I i).symm
theorem insertAt_boundary (i : N) {t₀ : I} {t}
(H : (t₀ = 0 ∨ t₀ = 1) ∨ t ∈ boundary { j // j ≠ i }) : insertAt i ⟨t₀, t⟩ ∈ boundary N := by
obtain H | ⟨j, H⟩ := H
· use i; rwa [funSplitAt_symm_apply, dif_pos rfl]
· use j; rwa [funSplitAt_symm_apply, dif_neg j.prop, Subtype.coe_eta]
end Cube
variable (N X : Type*) [TopologicalSpace X] (x : X)
/-- The space of paths with both endpoints equal to a specified point `x : X`.
Denoted as `Ω`, within the `Topology.Homotopy` namespace. -/
abbrev LoopSpace :=
Path x x
@[inherit_doc] scoped[Topology.Homotopy] notation "Ω" => LoopSpace
instance LoopSpace.inhabited : Inhabited (Path x x) :=
⟨Path.refl x⟩
/-- The `n`-dimensional generalized loops based at `x` in a space `X` are
continuous functions `I^n → X` that sends the boundary to `x`.
We allow an arbitrary indexing type `N` in place of `Fin n` here. -/
def GenLoop : Set C(I^N, X) :=
{p | ∀ y ∈ Cube.boundary N, p y = x}
@[inherit_doc] scoped[Topology.Homotopy] notation "Ω^" => GenLoop
open Topology.Homotopy
variable {N X x}
namespace GenLoop
instance instFunLike : FunLike (Ω^ N X x) (I^N) X where
coe f := f.1
coe_injective' := fun ⟨⟨f, _⟩, _⟩ ⟨⟨g, _⟩, _⟩ _ => by congr
@[ext]
theorem ext (f g : Ω^ N X x) (H : ∀ y, f y = g y) : f = g :=
DFunLike.coe_injective' (funext H)
@[simp]
theorem mk_apply (f : C(I^N, X)) (H y) : (⟨f, H⟩ : Ω^ N X x) y = f y :=
rfl
instance instContinuousEval : ContinuousEval (Ω^ N X x) (I^N) X :=
.of_continuous_forget continuous_subtype_val
instance instContinuousEvalConst : ContinuousEvalConst (Ω^ N X x) (I^N) X := inferInstance
/-- Copy of a `GenLoop` with a new map from the unit cube equal to the old one.
Useful to fix definitional equalities. -/
def copy (f : Ω^ N X x) (g : (I^N) → X) (h : g = f) : Ω^ N X x :=
⟨⟨g, h.symm ▸ f.1.2⟩, by convert f.2⟩
/- porting note: this now requires the `instFunLike` instance,
so the instance is now put before `copy`. -/
theorem coe_copy (f : Ω^ N X x) {g : (I^N) → X} (h : g = f) : ⇑(copy f g h) = g :=
rfl
theorem copy_eq (f : Ω^ N X x) {g : (I^N) → X} (h : g = f) : copy f g h = f := by
ext x
exact congr_fun h x
theorem boundary (f : Ω^ N X x) : ∀ y ∈ Cube.boundary N, f y = x :=
f.2
/-- The constant `GenLoop` at `x`. -/
def const : Ω^ N X x :=
⟨ContinuousMap.const _ x, fun _ _ => rfl⟩
@[simp]
theorem const_apply {t} : (@const N X _ x) t = x :=
rfl
instance inhabited : Inhabited (Ω^ N X x) :=
⟨const⟩
/-- The "homotopic relative to boundary" relation between `GenLoop`s. -/
def Homotopic (f g : Ω^ N X x) : Prop :=
f.1.HomotopicRel g.1 (Cube.boundary N)
namespace Homotopic
variable {f g h : Ω^ N X x}
@[refl]
theorem refl (f : Ω^ N X x) : Homotopic f f :=
ContinuousMap.HomotopicRel.refl _
@[symm]
nonrec theorem symm (H : Homotopic f g) : Homotopic g f :=
H.symm
@[trans]
nonrec theorem trans (H0 : Homotopic f g) (H1 : Homotopic g h) : Homotopic f h :=
H0.trans H1
theorem equiv : Equivalence (@Homotopic N X _ x) :=
⟨Homotopic.refl, Homotopic.symm, Homotopic.trans⟩
instance setoid (N) (x : X) : Setoid (Ω^ N X x) :=
⟨Homotopic, equiv⟩
end Homotopic
section LoopHomeo
variable [DecidableEq N]
/-- Loop from a generalized loop by currying $I^N → X$ into $I → (I^{N\setminus\{j\}} → X)$. -/
@[simps]
def toLoop (i : N) (p : Ω^ N X x) : Ω (Ω^ { j // j ≠ i } X x) const where
toFun t :=
⟨(p.val.comp (Cube.insertAt i)).curry t, fun y yH =>
p.property (Cube.insertAt i (t, y)) (Cube.insertAt_boundary i <| Or.inr yH)⟩
source' := by ext t; refine p.property (Cube.insertAt i (0, t)) ⟨i, Or.inl ?_⟩; simp
target' := by ext t; refine p.property (Cube.insertAt i (1, t)) ⟨i, Or.inr ?_⟩; simp
theorem continuous_toLoop (i : N) : Continuous (@toLoop N X _ x _ i) :=
Path.continuous_uncurry_iff.1 <|
Continuous.subtype_mk
(continuous_eval.comp <|
Continuous.prodMap
(ContinuousMap.continuous_curry.comp <|
(ContinuousMap.continuous_precomp _).comp continuous_subtype_val)
continuous_id)
_
/-- Generalized loop from a loop by uncurrying $I → (I^{N\setminus\{j\}} → X)$ into $I^N → X$. -/
@[simps]
def fromLoop (i : N) (p : Ω (Ω^ { j // j ≠ i } X x) const) : Ω^ N X x :=
⟨(ContinuousMap.comp ⟨Subtype.val, by fun_prop⟩ p.toContinuousMap).uncurry.comp
(Cube.splitAt i),
by
rintro y ⟨j, Hj⟩
simp only [ContinuousMap.comp_apply, ContinuousMap.coe_coe,
funSplitAt_apply, ContinuousMap.uncurry_apply, ContinuousMap.coe_mk,
Function.uncurry_apply_pair]
obtain rfl | Hne := eq_or_ne j i
· rcases Hj with Hj | Hj <;> simp only [Hj, p.coe_toContinuousMap, p.source, p.target] <;> rfl
· exact GenLoop.boundary _ _ ⟨⟨j, Hne⟩, Hj⟩⟩
theorem continuous_fromLoop (i : N) : Continuous (@fromLoop N X _ x _ i) :=
((ContinuousMap.continuous_precomp _).comp <|
ContinuousMap.continuous_uncurry.comp <|
(ContinuousMap.continuous_postcomp _).comp continuous_induced_dom).subtype_mk
_
theorem to_from (i : N) (p : Ω (Ω^ { j // j ≠ i } X x) const) : toLoop i (fromLoop i p) = p := by
simp_rw [toLoop, fromLoop, ContinuousMap.comp_assoc,
toContinuousMap_comp_symm, ContinuousMap.comp_id]
ext; rfl
/-- The `n+1`-dimensional loops are in bijection with the loops in the space of
`n`-dimensional loops with base point `const`.
We allow an arbitrary indexing type `N` in place of `Fin n` here. -/
@[simps]
def loopHomeo (i : N) : Ω^ N X x ≃ₜ Ω (Ω^ { j // j ≠ i } X x) const where
toFun := toLoop i
invFun := fromLoop i
left_inv p := by ext; exact congr_arg p (by dsimp; exact Equiv.apply_symm_apply _ _)
right_inv := to_from i
continuous_toFun := continuous_toLoop i
continuous_invFun := continuous_fromLoop i
theorem toLoop_apply (i : N) {p : Ω^ N X x} {t} {tn} :
toLoop i p t tn = p (Cube.insertAt i ⟨t, tn⟩) :=
rfl
theorem fromLoop_apply (i : N) {p : Ω (Ω^ { j // j ≠ i } X x) const} {t : I^N} :
fromLoop i p t = p (t i) (Cube.splitAt i t).snd :=
rfl
/-- Composition with `Cube.insertAt` as a continuous map. -/
abbrev cCompInsert (i : N) : C(C(I^N, X), C(I × I^{ j // j ≠ i }, X)) :=
⟨fun f => f.comp (Cube.insertAt i),
(toContinuousMap <| Cube.insertAt i).continuous_precomp⟩
/-- A homotopy between `n+1`-dimensional loops `p` and `q` constant on the boundary
seen as a homotopy between two paths in the space of `n`-dimensional paths. -/
def homotopyTo (i : N) {p q : Ω^ N X x} (H : p.1.HomotopyRel q.1 (Cube.boundary N)) :
C(I × I, C(I^{ j // j ≠ i }, X)) :=
((⟨_, ContinuousMap.continuous_curry⟩ : C(_, _)).comp <|
(cCompInsert i).comp H.toContinuousMap.curry).uncurry
-- porting note: `@[simps]` generates this lemma but it's named `homotopyTo_apply_apply` instead
theorem homotopyTo_apply (i : N) {p q : Ω^ N X x} (H : p.1.HomotopyRel q.1 <| Cube.boundary N)
(t : I × I) (tₙ : I^{ j // j ≠ i }) :
homotopyTo i H t tₙ = H (t.fst, Cube.insertAt i (t.snd, tₙ)) :=
rfl
theorem homotopicTo (i : N) {p q : Ω^ N X x} :
Homotopic p q → (toLoop i p).Homotopic (toLoop i q) := by
refine Nonempty.map fun H => ⟨⟨⟨fun t => ⟨homotopyTo i H t, ?_⟩, ?_⟩, ?_, ?_⟩, ?_⟩
· rintro y ⟨i, iH⟩
rw [homotopyTo_apply, H.eq_fst, p.2]
all_goals apply Cube.insertAt_boundary; right; exact ⟨i, iH⟩
· fun_prop
iterate 2
intro
ext
dsimp
rw [homotopyTo_apply, toLoop_apply]
swap
· apply H.apply_zero
· apply H.apply_one
intro t y yH
ext
dsimp
rw [homotopyTo_apply]
apply H.eq_fst; use i
rw [funSplitAt_symm_apply, dif_pos rfl]; exact yH
/-- The converse to `GenLoop.homotopyTo`: a homotopy between two loops in the space of
`n`-dimensional loops can be seen as a homotopy between two `n+1`-dimensional paths. -/
@[simps!] def homotopyFrom (i : N) {p q : Ω^ N X x} (H : (toLoop i p).Homotopy (toLoop i q)) :
C(I × I^N, X) :=
(ContinuousMap.comp ⟨_, ContinuousMap.continuous_uncurry⟩
(ContinuousMap.comp ⟨Subtype.val, by fun_prop⟩ H.toContinuousMap).curry).uncurry.comp <|
(ContinuousMap.id I).prodMap (Cube.splitAt i)
theorem homotopicFrom (i : N) {p q : Ω^ N X x} :
(toLoop i p).Homotopic (toLoop i q) → Homotopic p q := by
refine Nonempty.map fun H => ⟨⟨homotopyFrom i H, ?_, ?_⟩, ?_⟩
pick_goal 3
· rintro t y ⟨j, jH⟩
erw [homotopyFrom_apply]
obtain rfl | h := eq_or_ne j i
· simp only [Prod.map_apply, id_eq, funSplitAt_apply, Function.uncurry_apply_pair]
rw [H.eq_fst]
exacts [congr_arg p ((Cube.splitAt j).left_inv _), jH]
· rw [p.2 _ ⟨j, jH⟩]; apply boundary; exact ⟨⟨j, h⟩, jH⟩
all_goals
intro
apply (homotopyFrom_apply _ _ _).trans
simp only [Prod.map_apply, id_eq, funSplitAt_apply,
Function.uncurry_apply_pair, ContinuousMap.HomotopyWith.apply_zero,
ContinuousMap.HomotopyWith.apply_one, ne_eq, Path.coe_toContinuousMap, toLoop_apply_coe,
ContinuousMap.curry_apply, ContinuousMap.comp_apply]
first
| apply congr_arg p
| apply congr_arg q
apply (Cube.splitAt i).left_inv
/-- Concatenation of two `GenLoop`s along the `i`th coordinate. -/
def transAt (i : N) (f g : Ω^ N X x) : Ω^ N X x :=
copy (fromLoop i <| (toLoop i f).trans <| toLoop i g)
(fun t => if (t i : ℝ) ≤ 1 / 2
then f (Function.update t i <| Set.projIcc 0 1 zero_le_one (2 * t i))
else g (Function.update t i <| Set.projIcc 0 1 zero_le_one (2 * t i - 1)))
(by
ext1; symm
dsimp only [Path.trans, fromLoop, Path.coe_mk_mk, Function.comp_apply, mk_apply,
ContinuousMap.comp_apply, ContinuousMap.coe_coe, funSplitAt_apply,
ContinuousMap.uncurry_apply, ContinuousMap.coe_mk, Function.uncurry_apply_pair]
split_ifs
· show f _ = _; congr 1
· show g _ = _; congr 1)
/-- Reversal of a `GenLoop` along the `i`th coordinate. -/
def symmAt (i : N) (f : Ω^ N X x) : Ω^ N X x :=
(copy (fromLoop i (toLoop i f).symm) fun t => f fun j => if j = i then σ (t i) else t j) <| by
ext1; change _ = f _; congr; ext1; simp
theorem transAt_distrib {i j : N} (h : i ≠ j) (a b c d : Ω^ N X x) :
transAt i (transAt j a b) (transAt j c d) = transAt j (transAt i a c) (transAt i b d) := by
ext; simp_rw [transAt, coe_copy, Function.update_apply, if_neg h, if_neg h.symm]
split_ifs <;>
· congr 1; ext1; simp only [Function.update, eq_rec_constant, dite_eq_ite]
apply ite_ite_comm; rintro rfl; exact h.symm
theorem fromLoop_trans_toLoop {i : N} {p q : Ω^ N X x} :
fromLoop i ((toLoop i p).trans <| toLoop i q) = transAt i p q :=
(copy_eq _ _).symm
theorem fromLoop_symm_toLoop {i : N} {p : Ω^ N X x} : fromLoop i (toLoop i p).symm = symmAt i p :=
(copy_eq _ _).symm
end LoopHomeo
end GenLoop
/-- The `n`th homotopy group at `x` defined as the quotient of `Ω^n x` by the
`GenLoop.Homotopic` relation. -/
def HomotopyGroup (N X : Type*) [TopologicalSpace X] (x : X) : Type _ :=
Quotient (GenLoop.Homotopic.setoid N x)
instance : Inhabited (HomotopyGroup N X x) :=
inferInstanceAs <| Inhabited <| Quotient (GenLoop.Homotopic.setoid N x)
variable [DecidableEq N]
open GenLoop
/-- Equivalence between the homotopy group of X and the fundamental group of
`Ω^{j // j ≠ i} x`. -/
def homotopyGroupEquivFundamentalGroup (i : N) :
HomotopyGroup N X x ≃ FundamentalGroup (Ω^ { j // j ≠ i } X x) const := by
refine Equiv.trans ?_ (CategoryTheory.Groupoid.isoEquivHom _ _).symm
apply Quotient.congr (loopHomeo i).toEquiv
exact fun p q => ⟨homotopicTo i, homotopicFrom i⟩
/-- Homotopy group of finite index, denoted as `π_n` within the Topology namespace. -/
abbrev HomotopyGroup.Pi (n) (X : Type*) [TopologicalSpace X] (x : X) :=
HomotopyGroup (Fin n) _ x
@[inherit_doc] scoped[Topology] notation "π_" => HomotopyGroup.Pi
/-- The 0-dimensional generalized loops based at `x` are in bijection with `X`. -/
def genLoopHomeoOfIsEmpty (N x) [IsEmpty N] : Ω^ N X x ≃ₜ X where
toFun f := f 0
invFun y := ⟨ContinuousMap.const _ y, fun _ ⟨i, _⟩ => isEmptyElim i⟩
left_inv f := by ext; exact congr_arg f (Subsingleton.elim _ _)
right_inv _ := rfl
continuous_invFun := ContinuousMap.const'.2.subtype_mk _
/-- The homotopy "group" indexed by an empty type is in bijection with
the path components of `X`, aka the `ZerothHomotopy`. -/
def homotopyGroupEquivZerothHomotopyOfIsEmpty (N x) [IsEmpty N] :
HomotopyGroup N X x ≃ ZerothHomotopy X :=
Quotient.congr (genLoopHomeoOfIsEmpty N x).toEquiv
(by
-- joined iff homotopic
intros a₁ a₂
constructor <;> rintro ⟨H⟩
exacts
[⟨{ toFun := fun t => H ⟨t, isEmptyElim⟩
source' := (H.apply_zero _).trans (congr_arg a₁ <| Subsingleton.elim _ _)
target' := (H.apply_one _).trans (congr_arg a₂ <| Subsingleton.elim _ _) }⟩,
⟨{ toFun := fun t0 => H t0.fst
map_zero_left := fun _ => H.source.trans (congr_arg a₁ <| Subsingleton.elim _ _)
map_one_left := fun _ => H.target.trans (congr_arg a₂ <| Subsingleton.elim _ _)
prop' := fun _ _ ⟨i, _⟩ => isEmptyElim i }⟩])
/-- The 0th homotopy "group" is in bijection with `ZerothHomotopy`. -/
def HomotopyGroup.pi0EquivZerothHomotopy : π_ 0 X x ≃ ZerothHomotopy X :=
homotopyGroupEquivZerothHomotopyOfIsEmpty (Fin 0) x
/-- The 1-dimensional generalized loops based at `x` are in bijection with loops at `x`. -/
def genLoopEquivOfUnique (N) [Unique N] : Ω^ N X x ≃ Ω X x where
toFun p :=
Path.mk ⟨fun t => p fun _ => t, by continuity⟩
(GenLoop.boundary _ (fun _ => 0) ⟨default, Or.inl rfl⟩)
(GenLoop.boundary _ (fun _ => 1) ⟨default, Or.inr rfl⟩)
invFun p :=
⟨⟨fun c => p (c default), by continuity⟩,
by
rintro y ⟨i, iH | iH⟩ <;> cases Unique.eq_default i <;> apply (congr_arg p iH).trans
exacts [p.source, p.target]⟩
left_inv p := by ext y; exact congr_arg p (eq_const_of_unique y).symm
right_inv p := by ext; rfl
/- TODO (?): deducing this from `homotopyGroupEquivFundamentalGroup` would require
combination of `CategoryTheory.Functor.mapAut` and
`FundamentalGroupoid.fundamentalGroupoidFunctor` applied to `genLoopHomeoOfIsEmpty`,
with possibly worse defeq. -/
/-- The homotopy group at `x` indexed by a singleton is in bijection with the fundamental group,
i.e. the loops based at `x` up to homotopy. -/
def homotopyGroupEquivFundamentalGroupOfUnique (N) [Unique N] :
HomotopyGroup N X x ≃ FundamentalGroup X x := by
refine Equiv.trans ?_ (CategoryTheory.Groupoid.isoEquivHom _ _).symm
refine Quotient.congr (genLoopEquivOfUnique N) ?_
intros a₁ a₂; constructor <;> rintro ⟨H⟩
· exact
⟨{ toFun := fun tx => H (tx.fst, fun _ => tx.snd)
map_zero_left := fun _ => H.apply_zero _
map_one_left := fun _ => H.apply_one _
prop' := fun t y iH => H.prop' _ _ ⟨default, iH⟩ }⟩
refine
⟨⟨⟨⟨fun tx => H (tx.fst, tx.snd default), H.continuous.comp ?_⟩, fun y => ?_, fun y => ?_⟩, ?_⟩⟩
· fun_prop
· exact (H.apply_zero _).trans (congr_arg a₁ (eq_const_of_unique y).symm)
· exact (H.apply_one _).trans (congr_arg a₂ (eq_const_of_unique y).symm)
· rintro t y ⟨i, iH⟩
cases Unique.eq_default i
exact (H.eq_fst _ iH).trans (congr_arg a₁ (eq_const_of_unique y).symm)
/-- The first homotopy group at `x` is in bijection with the fundamental group. -/
def HomotopyGroup.pi1EquivFundamentalGroup : π_ 1 X x ≃ FundamentalGroup X x :=
homotopyGroupEquivFundamentalGroupOfUnique (Fin 1)
namespace HomotopyGroup
/-- Group structure on `HomotopyGroup N X x` for nonempty `N` (in particular `π_(n+1) X x`). -/
instance group (N) [DecidableEq N] [Nonempty N] : Group (HomotopyGroup N X x) :=
(homotopyGroupEquivFundamentalGroup <| Classical.arbitrary N).group
/-- Group structure on `HomotopyGroup` obtained by pulling back path composition along the
`i`th direction. The group structures for two different `i j : N` distribute over each
other, and therefore are equal by the Eckmann-Hilton argument. -/
abbrev auxGroup (i : N) : Group (HomotopyGroup N X x) :=
(homotopyGroupEquivFundamentalGroup i).group
theorem isUnital_auxGroup (i : N) :
EckmannHilton.IsUnital (auxGroup i).mul (⟦const⟧ : HomotopyGroup N X x) where
left_id := (auxGroup i).one_mul
right_id := (auxGroup i).mul_one
theorem auxGroup_indep (i j : N) : (auxGroup i : Group (HomotopyGroup N X x)) = auxGroup j := by
by_cases h : i = j; · rw [h]
refine Group.ext (EckmannHilton.mul (isUnital_auxGroup i) (isUnital_auxGroup j) ?_)
rintro ⟨a⟩ ⟨b⟩ ⟨c⟩ ⟨d⟩
change Quotient.mk' _ = _
apply congr_arg Quotient.mk'
simp only [fromLoop_trans_toLoop, transAt_distrib h, coe_toEquiv, loopHomeo_apply,
coe_symm_toEquiv, loopHomeo_symm_apply]
theorem transAt_indep {i} (j) (f g : Ω^ N X x) :
(⟦transAt i f g⟧ : HomotopyGroup N X x) = ⟦transAt j f g⟧ := by
simp_rw [← fromLoop_trans_toLoop]
let m := fun (G) (_ : Group G) => ((· * ·) : G → G → G)
exact congr_fun₂ (congr_arg (m <| HomotopyGroup N X x) <| auxGroup_indep i j) ⟦g⟧ ⟦f⟧
theorem symmAt_indep {i} (j) (f : Ω^ N X x) :
(⟦symmAt i f⟧ : HomotopyGroup N X x) = ⟦symmAt j f⟧ := by
simp_rw [← fromLoop_symm_toLoop]
let inv := fun (G) (_ : Group G) => ((·⁻¹) : G → G)
exact congr_fun (congr_arg (inv <| HomotopyGroup N X x) <| auxGroup_indep i j) ⟦f⟧
/-- Characterization of multiplicative identity -/
theorem one_def [Nonempty N] : (1 : HomotopyGroup N X x) = ⟦const⟧ :=
rfl
/-- Characterization of multiplication -/
theorem mul_spec [Nonempty N] {i} {p q : Ω^ N X x} :
-- TODO: introduce `HomotopyGroup.mk` and remove defeq abuse.
((· * ·) : _ → _ → HomotopyGroup N X x) ⟦p⟧ ⟦q⟧ = ⟦transAt i q p⟧ := by
rw [transAt_indep (Classical.arbitrary N) q, ← fromLoop_trans_toLoop]
apply Quotient.sound
rfl
/-- Characterization of multiplicative inverse -/
theorem inv_spec [Nonempty N] {i} {p : Ω^ N X x} :
((⟦p⟧)⁻¹ : HomotopyGroup N X x) = ⟦symmAt i p⟧ := by
rw [symmAt_indep (Classical.arbitrary N) p, ← fromLoop_symm_toLoop]
apply Quotient.sound
rfl
/-- Multiplication on `HomotopyGroup N X x` is commutative for nontrivial `N`.
In particular, multiplication on `π_(n+2)` is commutative. -/
instance commGroup [Nontrivial N] : CommGroup (HomotopyGroup N X x) :=
let h := exists_ne (Classical.arbitrary N)
@EckmannHilton.commGroup (HomotopyGroup N X x) _ 1 (isUnital_auxGroup <| Classical.choose h) _
(by
rintro ⟨a⟩ ⟨b⟩ ⟨c⟩ ⟨d⟩
apply congr_arg Quotient.mk'
simp only [fromLoop_trans_toLoop, transAt_distrib <| Classical.choose_spec h, coe_toEquiv,
loopHomeo_apply, coe_symm_toEquiv, loopHomeo_symm_apply])
end HomotopyGroup
| Mathlib/Topology/Homotopy/HomotopyGroup.lean | 528 | 532 | |
/-
Copyright (c) 2020 Aaron Anderson. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Aaron Anderson
-/
import Mathlib.Algebra.Squarefree.Basic
import Mathlib.Data.Nat.Factorization.PrimePow
import Mathlib.RingTheory.UniqueFactorizationDomain.Nat
/-!
# Lemmas about squarefreeness of natural numbers
A number is squarefree when it is not divisible by any squares except the squares of units.
## Main Results
- `Nat.squarefree_iff_nodup_primeFactorsList`: A positive natural number `x` is squarefree iff
the list `factors x` has no duplicate factors.
## Tags
squarefree, multiplicity
-/
open Finset
namespace Nat
theorem squarefree_iff_nodup_primeFactorsList {n : ℕ} (h0 : n ≠ 0) :
Squarefree n ↔ n.primeFactorsList.Nodup := by
rw [UniqueFactorizationMonoid.squarefree_iff_nodup_normalizedFactors h0, Nat.factors_eq]
simp
end Nat
theorem Squarefree.nodup_primeFactorsList {n : ℕ} (hn : Squarefree n) : n.primeFactorsList.Nodup :=
(Nat.squarefree_iff_nodup_primeFactorsList hn.ne_zero).mp hn
namespace Nat
variable {s : Finset ℕ} {m n p : ℕ}
theorem squarefree_iff_prime_squarefree {n : ℕ} : Squarefree n ↔ ∀ x, Prime x → ¬x * x ∣ n :=
squarefree_iff_irreducible_sq_not_dvd_of_exists_irreducible ⟨_, prime_two⟩
theorem _root_.Squarefree.natFactorization_le_one {n : ℕ} (p : ℕ) (hn : Squarefree n) :
n.factorization p ≤ 1 := by
rcases eq_or_ne n 0 with (rfl | hn')
· simp
rw [squarefree_iff_emultiplicity_le_one] at hn
by_cases hp : p.Prime
· have := hn p
rw [← multiplicity_eq_factorization hp hn']
simp only [Nat.isUnit_iff, hp.ne_one, or_false] at this
exact multiplicity_le_of_emultiplicity_le this
· rw [factorization_eq_zero_of_non_prime _ hp]
exact zero_le_one
lemma factorization_eq_one_of_squarefree (hn : Squarefree n) (hp : p.Prime) (hpn : p ∣ n) :
factorization n p = 1 :=
(hn.natFactorization_le_one _).antisymm <| (hp.dvd_iff_one_le_factorization hn.ne_zero).1 hpn
theorem squarefree_of_factorization_le_one {n : ℕ} (hn : n ≠ 0) (hn' : ∀ p, n.factorization p ≤ 1) :
Squarefree n := by
rw [squarefree_iff_nodup_primeFactorsList hn, List.nodup_iff_count_le_one]
intro a
rw [primeFactorsList_count_eq]
apply hn'
theorem squarefree_iff_factorization_le_one {n : ℕ} (hn : n ≠ 0) :
Squarefree n ↔ ∀ p, n.factorization p ≤ 1 :=
⟨fun hn => hn.natFactorization_le_one, squarefree_of_factorization_le_one hn⟩
theorem Squarefree.ext_iff {n m : ℕ} (hn : Squarefree n) (hm : Squarefree m) :
n = m ↔ ∀ p, Prime p → (p ∣ n ↔ p ∣ m) := by
refine ⟨by rintro rfl; simp, fun h => eq_of_factorization_eq hn.ne_zero hm.ne_zero fun p => ?_⟩
by_cases hp : p.Prime
· have h₁ := h _ hp
rw [← not_iff_not, hp.dvd_iff_one_le_factorization hn.ne_zero, not_le, lt_one_iff,
hp.dvd_iff_one_le_factorization hm.ne_zero, not_le, lt_one_iff] at h₁
have h₂ := hn.natFactorization_le_one p
have h₃ := hm.natFactorization_le_one p
omega
rw [factorization_eq_zero_of_non_prime _ hp, factorization_eq_zero_of_non_prime _ hp]
theorem squarefree_pow_iff {n k : ℕ} (hn : n ≠ 1) (hk : k ≠ 0) :
Squarefree (n ^ k) ↔ Squarefree n ∧ k = 1 := by
refine ⟨fun h => ?_, by rintro ⟨hn, rfl⟩; simpa⟩
rcases eq_or_ne n 0 with (rfl | -)
· simp [zero_pow hk] at h
refine ⟨h.squarefree_of_dvd (dvd_pow_self _ hk), by_contradiction fun h₁ => ?_⟩
have : 2 ≤ k := k.two_le_iff.mpr ⟨hk, h₁⟩
apply hn (Nat.isUnit_iff.1 (h _ _))
rw [← sq]
exact pow_dvd_pow _ this
theorem squarefree_and_prime_pow_iff_prime {n : ℕ} : Squarefree n ∧ IsPrimePow n ↔ Prime n := by
refine ⟨?_, fun hn => ⟨hn.squarefree, hn.isPrimePow⟩⟩
rw [isPrimePow_nat_iff]
rintro ⟨h, p, k, hp, hk, rfl⟩
rw [squarefree_pow_iff hp.ne_one hk.ne'] at h
rwa [h.2, pow_one]
/-- Assuming that `n` has no factors less than `k`, returns the smallest prime `p` such that
`p^2 ∣ n`. -/
def minSqFacAux : ℕ → ℕ → Option ℕ
| n, k =>
if h : n < k * k then none
else
have : Nat.sqrt n - k < Nat.sqrt n + 2 - k := by
exact Nat.minFac_lemma n k h
if k ∣ n then
let n' := n / k
have : Nat.sqrt n' - k < Nat.sqrt n + 2 - k :=
lt_of_le_of_lt (Nat.sub_le_sub_right (Nat.sqrt_le_sqrt <| Nat.div_le_self _ _) k) this
if k ∣ n' then some k else minSqFacAux n' (k + 2)
else minSqFacAux n (k + 2)
termination_by n k => sqrt n + 2 - k
/-- Returns the smallest prime factor `p` of `n` such that `p^2 ∣ n`, or `none` if there is no
such `p` (that is, `n` is squarefree). See also `Nat.squarefree_iff_minSqFac`. -/
def minSqFac (n : ℕ) : Option ℕ :=
if 2 ∣ n then
let n' := n / 2
if 2 ∣ n' then some 2 else minSqFacAux n' 3
else minSqFacAux n 3
/-- The correctness property of the return value of `minSqFac`.
* If `none`, then `n` is squarefree;
* If `some d`, then `d` is a minimal square factor of `n` -/
def MinSqFacProp (n : ℕ) : Option ℕ → Prop
| none => Squarefree n
| some d => Prime d ∧ d * d ∣ n ∧ ∀ p, Prime p → p * p ∣ n → d ≤ p
theorem minSqFacProp_div (n) {k} (pk : Prime k) (dk : k ∣ n) (dkk : ¬k * k ∣ n) {o}
(H : MinSqFacProp (n / k) o) : MinSqFacProp n o := by
have : ∀ p, Prime p → p * p ∣ n → k * (p * p) ∣ n := fun p pp dp =>
have :=
(coprime_primes pk pp).2 fun e => by
subst e
contradiction
(coprime_mul_iff_right.2 ⟨this, this⟩).mul_dvd_of_dvd_of_dvd dk dp
rcases o with - | d
· rw [MinSqFacProp, squarefree_iff_prime_squarefree] at H ⊢
exact fun p pp dp => H p pp ((dvd_div_iff_mul_dvd dk).2 (this _ pp dp))
· obtain ⟨H1, H2, H3⟩ := H
simp only [dvd_div_iff_mul_dvd dk] at H2 H3
exact ⟨H1, dvd_trans (dvd_mul_left _ _) H2, fun p pp dp => H3 _ pp (this _ pp dp)⟩
theorem minSqFacAux_has_prop {n : ℕ} (k) (n0 : 0 < n) (i) (e : k = 2 * i + 3)
(ih : ∀ m, Prime m → m ∣ n → k ≤ m) : MinSqFacProp n (minSqFacAux n k) := by
rw [minSqFacAux]
by_cases h : n < k * k <;> simp only [h, ↓reduceDIte]
· refine squarefree_iff_prime_squarefree.2 fun p pp d => ?_
have := ih p pp (dvd_trans ⟨_, rfl⟩ d)
have := Nat.mul_le_mul this this
exact not_le_of_lt h (le_trans this (le_of_dvd n0 d))
have k2 : 2 ≤ k := by omega
have k0 : 0 < k := lt_of_lt_of_le (by decide) k2
have IH : ∀ n', n' ∣ n → ¬k ∣ n' → MinSqFacProp n' (n'.minSqFacAux (k + 2)) := by
intro n' nd' nk
have hn' := le_of_dvd n0 nd'
refine
have : Nat.sqrt n' - k < Nat.sqrt n + 2 - k :=
lt_of_le_of_lt (Nat.sub_le_sub_right (Nat.sqrt_le_sqrt hn') _) (Nat.minFac_lemma n k h)
@minSqFacAux_has_prop n' (k + 2) (pos_of_dvd_of_pos nd' n0) (i + 1)
(by simp [e, left_distrib]) fun m m2 d => ?_
rcases Nat.eq_or_lt_of_le (ih m m2 (dvd_trans d nd')) with me | ml
· subst me
contradiction
apply (Nat.eq_or_lt_of_le ml).resolve_left
intro me
rw [← me, e] at d
change 2 * (i + 2) ∣ n' at d
have := ih _ prime_two (dvd_trans (dvd_of_mul_right_dvd d) nd')
rw [e] at this
exact absurd this (by omega)
have pk : k ∣ n → Prime k := by
refine fun dk => prime_def_minFac.2 ⟨k2, le_antisymm (minFac_le k0) ?_⟩
exact ih _ (minFac_prime (ne_of_gt k2)) (dvd_trans (minFac_dvd _) dk)
split_ifs with dk dkk
· exact ⟨pk dk, (Nat.dvd_div_iff_mul_dvd dk).1 dkk, fun p pp d => ih p pp (dvd_trans ⟨_, rfl⟩ d)⟩
· specialize IH (n / k) (div_dvd_of_dvd dk) dkk
exact minSqFacProp_div _ (pk dk) dk (mt (Nat.dvd_div_iff_mul_dvd dk).2 dkk) IH
· exact IH n (dvd_refl _) dk
termination_by n.sqrt + 2 - k
theorem minSqFac_has_prop (n : ℕ) : MinSqFacProp n (minSqFac n) := by
dsimp only [minSqFac]; split_ifs with d2 d4
· exact ⟨prime_two, (dvd_div_iff_mul_dvd d2).1 d4, fun p pp _ => pp.two_le⟩
· rcases Nat.eq_zero_or_pos n with n0 | n0
· subst n0
cases d4 (by decide)
refine minSqFacProp_div _ prime_two d2 (mt (dvd_div_iff_mul_dvd d2).2 d4) ?_
refine minSqFacAux_has_prop 3 (Nat.div_pos (le_of_dvd n0 d2) (by decide)) 0 rfl ?_
refine fun p pp dp => succ_le_of_lt (lt_of_le_of_ne pp.two_le ?_)
rintro rfl
contradiction
· rcases Nat.eq_zero_or_pos n with n0 | n0
· subst n0
cases d2 (by decide)
refine minSqFacAux_has_prop _ n0 0 rfl ?_
refine fun p pp dp => succ_le_of_lt (lt_of_le_of_ne pp.two_le ?_)
rintro rfl
contradiction
|
theorem minSqFac_prime {n d : ℕ} (h : n.minSqFac = some d) : Prime d := by
have := minSqFac_has_prop n
rw [h] at this
exact this.1
theorem minSqFac_dvd {n d : ℕ} (h : n.minSqFac = some d) : d * d ∣ n := by
have := minSqFac_has_prop n
rw [h] at this
exact this.2.1
theorem minSqFac_le_of_dvd {n d : ℕ} (h : n.minSqFac = some d) {m} (m2 : 2 ≤ m) (md : m * m ∣ n) :
d ≤ m := by
have := minSqFac_has_prop n; rw [h] at this
have fd := minFac_dvd m
exact
le_trans (this.2.2 _ (minFac_prime <| ne_of_gt m2) (dvd_trans (mul_dvd_mul fd fd) md))
(minFac_le <| lt_of_lt_of_le (by decide) m2)
| Mathlib/Data/Nat/Squarefree.lean | 203 | 220 |
/-
Copyright (c) 2023 Jz Pan. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jz Pan
-/
import Mathlib.FieldTheory.SeparableDegree
import Mathlib.FieldTheory.IsSepClosed
/-!
# Separable closure
This file contains basics about the (relative) separable closure of a field extension.
## Main definitions
- `separableClosure`: the relative separable closure of `F` in `E`, or called maximal separable
subextension of `E / F`, is defined to be the intermediate field of `E / F` consisting of all
separable elements.
- `SeparableClosure`: the absolute separable closure, defined to be the relative separable
closure inside the algebraic closure.
- `Field.sepDegree F E`: the (infinite) separable degree $[E:F]_s$ of an algebraic extension
`E / F` of fields, defined to be the degree of `separableClosure F E / F`. Later we will show
that (`Field.finSepDegree_eq`, not in this file), if `Field.Emb F E` is finite, then this
coincides with `Field.finSepDegree F E`.
- `Field.insepDegree F E`: the (infinite) inseparable degree $[E:F]_i$ of an algebraic extension
`E / F` of fields, defined to be the degree of `E / separableClosure F E`.
- `Field.finInsepDegree F E`: the finite inseparable degree $[E:F]_i$ of an algebraic extension
`E / F` of fields, defined to be the degree of `E / separableClosure F E` as a natural number.
It is zero if such field extension is not finite.
## Main results
- `le_separableClosure_iff`: an intermediate field of `E / F` is contained in the
separable closure of `F` in `E` if and only if it is separable over `F`.
- `separableClosure.normalClosure_eq_self`: the normal closure of the separable
closure of `F` in `E` is equal to itself.
- `separableClosure.isGalois`: the separable closure in a normal extension is Galois
(namely, normal and separable).
- `separableClosure.isSepClosure`: the separable closure in a separably closed extension
is a separable closure of the base field.
- `IntermediateField.isSeparable_adjoin_iff_isSeparable`: `F(S) / F` is a separable extension if and
only if all elements of `S` are separable elements.
- `separableClosure.eq_top_iff`: the separable closure of `F` in `E` is equal to `E`
if and only if `E / F` is separable.
## Tags
separable degree, degree, separable closure
-/
open Module Polynomial IntermediateField Field
noncomputable section
universe u v w
variable (F : Type u) (E : Type v) [Field F] [Field E] [Algebra F E]
variable (K : Type w) [Field K] [Algebra F K]
section separableClosure
/-- The (relative) separable closure of `F` in `E`, or called maximal separable subextension
of `E / F`, is defined to be the intermediate field of `E / F` consisting of all separable
elements. The previous results prove that these elements are closed under field operations. -/
@[stacks 09HC]
def separableClosure : IntermediateField F E where
carrier := {x | IsSeparable F x}
mul_mem' := isSeparable_mul
add_mem' := isSeparable_add
algebraMap_mem' := isSeparable_algebraMap E
inv_mem' _ := isSeparable_inv
variable {F E K}
/-- An element is contained in the separable closure of `F` in `E` if and only if
it is a separable element. -/
theorem mem_separableClosure_iff {x : E} :
x ∈ separableClosure F E ↔ IsSeparable F x := Iff.rfl
/-- If `i` is an `F`-algebra homomorphism from `E` to `K`, then `i x` is contained in
`separableClosure F K` if and only if `x` is contained in `separableClosure F E`. -/
theorem map_mem_separableClosure_iff (i : E →ₐ[F] K) {x : E} :
i x ∈ separableClosure F K ↔ x ∈ separableClosure F E := by
simp_rw [mem_separableClosure_iff, IsSeparable, minpoly.algHom_eq i i.injective]
/-- If `i` is an `F`-algebra homomorphism from `E` to `K`, then the preimage of
`separableClosure F K` under the map `i` is equal to `separableClosure F E`. -/
theorem separableClosure.comap_eq_of_algHom (i : E →ₐ[F] K) :
(separableClosure F K).comap i = separableClosure F E := by
ext x
exact map_mem_separableClosure_iff i
/-- If `i` is an `F`-algebra homomorphism from `E` to `K`, then the image of `separableClosure F E`
under the map `i` is contained in `separableClosure F K`. -/
theorem separableClosure.map_le_of_algHom (i : E →ₐ[F] K) :
(separableClosure F E).map i ≤ separableClosure F K :=
map_le_iff_le_comap.2 (comap_eq_of_algHom i).ge
variable (F) in
/-- If `K / E / F` is a field extension tower, such that `K / E` has no non-trivial separable
subextensions (when `K / E` is algebraic, this means that it is purely inseparable),
then the image of `separableClosure F E` in `K` is equal to `separableClosure F K`. -/
theorem separableClosure.map_eq_of_separableClosure_eq_bot [Algebra E K] [IsScalarTower F E K]
(h : separableClosure E K = ⊥) :
(separableClosure F E).map (IsScalarTower.toAlgHom F E K) = separableClosure F K := by
refine le_antisymm (map_le_of_algHom _) (fun x hx ↦ ?_)
obtain ⟨y, rfl⟩ := mem_bot.1 <| h ▸ mem_separableClosure_iff.2
(IsSeparable.tower_top E <| mem_separableClosure_iff.1 hx)
exact ⟨y, (map_mem_separableClosure_iff <| IsScalarTower.toAlgHom F E K).mp hx, rfl⟩
/-- If `i` is an `F`-algebra isomorphism of `E` and `K`, then the image of `separableClosure F E`
under the map `i` is equal to `separableClosure F K`. -/
theorem separableClosure.map_eq_of_algEquiv (i : E ≃ₐ[F] K) :
(separableClosure F E).map i = separableClosure F K :=
(map_le_of_algHom i.toAlgHom).antisymm
(fun x h ↦ ⟨_, (map_mem_separableClosure_iff i.symm).2 h, by simp⟩)
/-- If `E` and `K` are isomorphic as `F`-algebras, then `separableClosure F E` and
`separableClosure F K` are also isomorphic as `F`-algebras. -/
def separableClosure.algEquivOfAlgEquiv (i : E ≃ₐ[F] K) :
separableClosure F E ≃ₐ[F] separableClosure F K :=
(intermediateFieldMap i _).trans (equivOfEq (map_eq_of_algEquiv i))
alias AlgEquiv.separableClosure := separableClosure.algEquivOfAlgEquiv
variable (F E K)
/-- The separable closure of `F` in `E` is algebraic over `F`. -/
instance separableClosure.isAlgebraic : Algebra.IsAlgebraic F (separableClosure F E) :=
⟨fun x ↦ isAlgebraic_iff.2 (IsSeparable.isIntegral x.2).isAlgebraic⟩
/-- The separable closure of `F` in `E` is separable over `F`. -/
@[stacks 030K "$E_{sep}/F$ is separable"]
instance separableClosure.isSeparable : Algebra.IsSeparable F (separableClosure F E) :=
⟨fun x ↦ by simpa only [IsSeparable, minpoly_eq] using x.2⟩
/-- An intermediate field of `E / F` is contained in the separable closure of `F` in `E`
if all of its elements are separable over `F`. -/
theorem le_separableClosure' {L : IntermediateField F E} (hs : ∀ x : L, IsSeparable F x) :
L ≤ separableClosure F E := fun x h ↦ by simpa only [IsSeparable, minpoly_eq] using hs ⟨x, h⟩
/-- An intermediate field of `E / F` is contained in the separable closure of `F` in `E`
if it is separable over `F`. -/
theorem le_separableClosure (L : IntermediateField F E) [Algebra.IsSeparable F L] :
L ≤ separableClosure F E := le_separableClosure' F E (Algebra.IsSeparable.isSeparable F)
/-- An intermediate field of `E / F` is contained in the separable closure of `F` in `E`
if and only if it is separable over `F`. -/
theorem le_separableClosure_iff (L : IntermediateField F E) :
L ≤ separableClosure F E ↔ Algebra.IsSeparable F L :=
⟨fun h ↦ ⟨fun x ↦ by simpa only [IsSeparable, minpoly_eq] using h x.2⟩,
fun _ ↦ le_separableClosure _ _ _⟩
/-- The separable closure in `E` of the separable closure of `F` in `E` is equal to itself. -/
theorem separableClosure.separableClosure_eq_bot :
separableClosure (separableClosure F E) E = ⊥ :=
bot_unique fun x hx ↦ mem_bot.2
⟨⟨x, IsSeparable.of_algebra_isSeparable_of_isSeparable F (mem_separableClosure_iff.1 hx)⟩, rfl⟩
/-- The normal closure in `E/F` of the separable closure of `F` in `E` is equal to itself. -/
theorem separableClosure.normalClosure_eq_self :
normalClosure F (separableClosure F E) E = separableClosure F E :=
le_antisymm (normalClosure_le_iff.2 fun i ↦
have : Algebra.IsSeparable F i.fieldRange :=
(AlgEquiv.Algebra.isSeparable (AlgEquiv.ofInjectiveField i))
le_separableClosure F E _) (le_normalClosure _)
/-- If `E` is normal over `F`, then the separable closure of `F` in `E` is Galois (i.e.
normal and separable) over `F`. -/
@[stacks 0EXK]
instance separableClosure.isGalois [Normal F E] : IsGalois F (separableClosure F E) where
to_isSeparable := separableClosure.isSeparable F E
to_normal := by
rw [← separableClosure.normalClosure_eq_self]
exact normalClosure.normal F _ E
/-- If `E / F` is a field extension and `E` is separably closed, then the separable closure
of `F` in `E` is equal to `F` if and only if `F` is separably closed. -/
theorem IsSepClosed.separableClosure_eq_bot_iff [IsSepClosed E] :
separableClosure F E = ⊥ ↔ IsSepClosed F := by
refine ⟨fun h ↦ IsSepClosed.of_exists_root _ fun p _ hirr hsep ↦ ?_,
fun _ ↦ IntermediateField.eq_bot_of_isSepClosed_of_isSeparable _⟩
obtain ⟨x, hx⟩ := IsSepClosed.exists_aeval_eq_zero E p (degree_pos_of_irreducible hirr).ne' hsep
obtain ⟨x, rfl⟩ := h ▸ mem_separableClosure_iff.2 (hsep.of_dvd <| minpoly.dvd _ x hx)
exact ⟨x, by simpa [Algebra.ofId_apply] using hx⟩
/-- If `E` is separably closed, then the separable closure of `F` in `E` is an absolute
separable closure of `F`. -/
instance separableClosure.isSepClosure [IsSepClosed E] : IsSepClosure F (separableClosure F E) :=
⟨(IsSepClosed.separableClosure_eq_bot_iff _ E).mp (separableClosure.separableClosure_eq_bot F E),
isSeparable F E⟩
/-- The absolute separable closure is defined to be the relative separable closure inside the
algebraic closure. It is indeed a separable closure (`IsSepClosure`) by
`separableClosure.isSepClosure`, and it is Galois (`IsGalois`) by `separableClosure.isGalois`
or `IsSepClosure.isGalois`, and every separable extension embeds into it (`IsSepClosed.lift`). -/
abbrev SeparableClosure : Type _ := separableClosure F (AlgebraicClosure F)
/-- `F(S) / F` is a separable extension if and only if all elements of `S` are
separable elements. -/
theorem IntermediateField.isSeparable_adjoin_iff_isSeparable {S : Set E} :
Algebra.IsSeparable F (adjoin F S) ↔ ∀ x ∈ S, IsSeparable F x :=
(le_separableClosure_iff F E _).symm.trans adjoin_le_iff
/-- The separable closure of `F` in `E` is equal to `E` if and only if `E / F` is
separable. -/
theorem separableClosure.eq_top_iff : separableClosure F E = ⊤ ↔ Algebra.IsSeparable F E :=
⟨fun h ↦ ⟨fun _ ↦ mem_separableClosure_iff.1 (h ▸ mem_top)⟩,
fun _ ↦ top_unique fun x _ ↦ mem_separableClosure_iff.2 (Algebra.IsSeparable.isSeparable _ x)⟩
/-- If `K / E / F` is a field extension tower, then `separableClosure F K` is contained in
`separableClosure E K`. -/
theorem separableClosure.le_restrictScalars [Algebra E K] [IsScalarTower F E K] :
separableClosure F K ≤ (separableClosure E K).restrictScalars F :=
fun _ ↦ IsSeparable.tower_top E
/-- If `K / E / F` is a field extension tower, such that `E / F` is separable, then
`separableClosure F K` is equal to `separableClosure E K`. -/
theorem separableClosure.eq_restrictScalars_of_isSeparable [Algebra E K] [IsScalarTower F E K]
[Algebra.IsSeparable F E] : separableClosure F K = (separableClosure E K).restrictScalars F :=
(separableClosure.le_restrictScalars F E K).antisymm fun _ h ↦
IsSeparable.of_algebra_isSeparable_of_isSeparable F h
/-- If `K / E / F` is a field extension tower, then `E` adjoin `separableClosure F K` is contained
in `separableClosure E K`. -/
theorem separableClosure.adjoin_le [Algebra E K] [IsScalarTower F E K] :
adjoin E (separableClosure F K) ≤ separableClosure E K :=
adjoin_le_iff.2 <| le_restrictScalars F E K
/-- A compositum of two separable extensions is separable. -/
instance IntermediateField.isSeparable_sup (L1 L2 : IntermediateField F E)
[h1 : Algebra.IsSeparable F L1] [h2 : Algebra.IsSeparable F L2] :
Algebra.IsSeparable F (L1 ⊔ L2 : IntermediateField F E) := by
rw [← le_separableClosure_iff] at h1 h2 ⊢
exact sup_le h1 h2
/-- A compositum of separable extensions is separable. -/
instance IntermediateField.isSeparable_iSup {ι : Type*} {t : ι → IntermediateField F E}
[h : ∀ i, Algebra.IsSeparable F (t i)] :
Algebra.IsSeparable F (⨆ i, t i : IntermediateField F E) := by
simp_rw [← le_separableClosure_iff] at h ⊢
exact iSup_le h
end separableClosure
namespace Field
/-- The (infinite) separable degree for a general field extension `E / F` is defined
to be the degree of `separableClosure F E / F`. -/
@[stacks 030L "Part 1"]
def sepDegree := Module.rank F (separableClosure F E)
/-- The (infinite) inseparable degree for a general field extension `E / F` is defined
to be the degree of `E / separableClosure F E`. -/
@[stacks 030L "Part 2"]
def insepDegree := Module.rank (separableClosure F E) E
/-- The finite inseparable degree for a general field extension `E / F` is defined
to be the degree of `E / separableClosure F E` as a natural number. It is defined to be zero
if such field extension is infinite. -/
def finInsepDegree : ℕ := finrank (separableClosure F E) E
theorem finInsepDegree_def' : finInsepDegree F E = Cardinal.toNat (insepDegree F E) := rfl
instance instNeZeroSepDegree : NeZero (sepDegree F E) := ⟨rank_pos.ne'⟩
instance instNeZeroInsepDegree : NeZero (insepDegree F E) := ⟨rank_pos.ne'⟩
instance instNeZeroFinInsepDegree [FiniteDimensional F E] :
NeZero (finInsepDegree F E) := ⟨finrank_pos.ne'⟩
/-- If `E` and `K` are isomorphic as `F`-algebras, then they have the same
separable degree over `F`. -/
theorem lift_sepDegree_eq_of_equiv (i : E ≃ₐ[F] K) :
Cardinal.lift.{w} (sepDegree F E) = Cardinal.lift.{v} (sepDegree F K) :=
i.separableClosure.toLinearEquiv.lift_rank_eq
/-- The same-universe version of `Field.lift_sepDegree_eq_of_equiv`. -/
theorem sepDegree_eq_of_equiv (K : Type v) [Field K] [Algebra F K] (i : E ≃ₐ[F] K) :
sepDegree F E = sepDegree F K :=
i.separableClosure.toLinearEquiv.rank_eq
/-- The separable degree multiplied by the inseparable degree is equal
to the (infinite) field extension degree. -/
theorem sepDegree_mul_insepDegree : sepDegree F E * insepDegree F E = Module.rank F E :=
rank_mul_rank F (separableClosure F E) E
/-- If `E` and `K` are isomorphic as `F`-algebras, then they have the same
inseparable degree over `F`. -/
theorem lift_insepDegree_eq_of_equiv (i : E ≃ₐ[F] K) :
Cardinal.lift.{w} (insepDegree F E) = Cardinal.lift.{v} (insepDegree F K) :=
Algebra.lift_rank_eq_of_equiv_equiv i.separableClosure i rfl
/-- The same-universe version of `Field.lift_insepDegree_eq_of_equiv`. -/
theorem insepDegree_eq_of_equiv (K : Type v) [Field K] [Algebra F K] (i : E ≃ₐ[F] K) :
insepDegree F E = insepDegree F K :=
Algebra.rank_eq_of_equiv_equiv i.separableClosure i rfl
|
/-- If `E` and `K` are isomorphic as `F`-algebras, then they have the same finite
| Mathlib/FieldTheory/SeparableClosure.lean | 309 | 310 |
/-
Copyright (c) 2021 Yaël Dillies, Bhavik Mehta. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yaël Dillies, Bhavik Mehta
-/
import Mathlib.Analysis.Convex.Topology
import Mathlib.Analysis.NormedSpace.Pointwise
import Mathlib.Analysis.Seminorm
import Mathlib.Analysis.LocallyConvex.Bounded
import Mathlib.Analysis.RCLike.Basic
/-!
# The Minkowski functional
This file defines the Minkowski functional, aka gauge.
The Minkowski functional of a set `s` is the function which associates each point to how much you
need to scale `s` for `x` to be inside it. When `s` is symmetric, convex and absorbent, its gauge is
a seminorm. Reciprocally, any seminorm arises as the gauge of some set, namely its unit ball. This
induces the equivalence of seminorms and locally convex topological vector spaces.
## Main declarations
For a real vector space,
* `gauge`: Aka Minkowski functional. `gauge s x` is the least (actually, an infimum) `r` such
that `x ∈ r • s`.
* `gaugeSeminorm`: The Minkowski functional as a seminorm, when `s` is symmetric, convex and
absorbent.
## References
* [H. H. Schaefer, *Topological Vector Spaces*][schaefer1966]
## Tags
Minkowski functional, gauge
-/
open NormedField Set
open scoped Pointwise Topology NNReal
noncomputable section
variable {𝕜 E : Type*}
section AddCommGroup
variable [AddCommGroup E] [Module ℝ E]
/-- The Minkowski functional. Given a set `s` in a real vector space, `gauge s` is the functional
which sends `x : E` to the smallest `r : ℝ` such that `x` is in `s` scaled by `r`. -/
def gauge (s : Set E) (x : E) : ℝ :=
sInf { r : ℝ | 0 < r ∧ x ∈ r • s }
variable {s t : Set E} {x : E} {a : ℝ}
theorem gauge_def : gauge s x = sInf ({ r ∈ Set.Ioi (0 : ℝ) | x ∈ r • s }) :=
rfl
/-- An alternative definition of the gauge using scalar multiplication on the element rather than on
the set. -/
theorem gauge_def' : gauge s x = sInf {r ∈ Set.Ioi (0 : ℝ) | r⁻¹ • x ∈ s} := by
congrm sInf {r | ?_}
exact and_congr_right fun hr => mem_smul_set_iff_inv_smul_mem₀ hr.ne' _ _
private theorem gauge_set_bddBelow : BddBelow { r : ℝ | 0 < r ∧ x ∈ r • s } :=
⟨0, fun _ hr => hr.1.le⟩
/-- If the given subset is `Absorbent` then the set we take an infimum over in `gauge` is nonempty,
which is useful for proving many properties about the gauge. -/
theorem Absorbent.gauge_set_nonempty (absorbs : Absorbent ℝ s) :
{ r : ℝ | 0 < r ∧ x ∈ r • s }.Nonempty :=
let ⟨r, hr₁, hr₂⟩ := (absorbs x).exists_pos
⟨r, hr₁, hr₂ r (Real.norm_of_nonneg hr₁.le).ge rfl⟩
theorem gauge_mono (hs : Absorbent ℝ s) (h : s ⊆ t) : gauge t ≤ gauge s := fun _ =>
csInf_le_csInf gauge_set_bddBelow hs.gauge_set_nonempty fun _ hr => ⟨hr.1, smul_set_mono h hr.2⟩
theorem exists_lt_of_gauge_lt (absorbs : Absorbent ℝ s) (h : gauge s x < a) :
∃ b, 0 < b ∧ b < a ∧ x ∈ b • s := by
obtain ⟨b, ⟨hb, hx⟩, hba⟩ := exists_lt_of_csInf_lt absorbs.gauge_set_nonempty h
exact ⟨b, hb, hba, hx⟩
/-- The gauge evaluated at `0` is always zero (mathematically this requires `0` to be in the set `s`
but, the real infimum of the empty set in Lean being defined as `0`, it holds unconditionally). -/
@[simp]
theorem gauge_zero : gauge s 0 = 0 := by
rw [gauge_def']
by_cases h : (0 : E) ∈ s
· simp only [smul_zero, sep_true, h, csInf_Ioi]
· simp only [smul_zero, sep_false, h, Real.sInf_empty]
@[simp]
theorem gauge_zero' : gauge (0 : Set E) = 0 := by
ext x
rw [gauge_def']
obtain rfl | hx := eq_or_ne x 0
· simp only [csInf_Ioi, mem_zero, Pi.zero_apply, eq_self_iff_true, sep_true, smul_zero]
· simp only [mem_zero, Pi.zero_apply, inv_eq_zero, smul_eq_zero]
convert Real.sInf_empty
exact eq_empty_iff_forall_not_mem.2 fun r hr => hr.2.elim (ne_of_gt hr.1) hx
@[simp]
theorem gauge_empty : gauge (∅ : Set E) = 0 := by
ext
simp only [gauge_def', Real.sInf_empty, mem_empty_iff_false, Pi.zero_apply, sep_false]
theorem gauge_of_subset_zero (h : s ⊆ 0) : gauge s = 0 := by
obtain rfl | rfl := subset_singleton_iff_eq.1 h
exacts [gauge_empty, gauge_zero']
/-- The gauge is always nonnegative. -/
theorem gauge_nonneg (x : E) : 0 ≤ gauge s x :=
Real.sInf_nonneg fun _ hx => hx.1.le
theorem gauge_neg (symmetric : ∀ x ∈ s, -x ∈ s) (x : E) : gauge s (-x) = gauge s x := by
have : ∀ x, -x ∈ s ↔ x ∈ s := fun x => ⟨fun h => by simpa using symmetric _ h, symmetric x⟩
simp_rw [gauge_def', smul_neg, this]
theorem gauge_neg_set_neg (x : E) : gauge (-s) (-x) = gauge s x := by
simp_rw [gauge_def', smul_neg, neg_mem_neg]
theorem gauge_neg_set_eq_gauge_neg (x : E) : gauge (-s) x = gauge s (-x) := by
rw [← gauge_neg_set_neg, neg_neg]
theorem gauge_le_of_mem (ha : 0 ≤ a) (hx : x ∈ a • s) : gauge s x ≤ a := by
obtain rfl | ha' := ha.eq_or_lt
· rw [mem_singleton_iff.1 (zero_smul_set_subset _ hx), gauge_zero]
· exact csInf_le gauge_set_bddBelow ⟨ha', hx⟩
theorem gauge_le_eq (hs₁ : Convex ℝ s) (hs₀ : (0 : E) ∈ s) (hs₂ : Absorbent ℝ s) (ha : 0 ≤ a) :
{ x | gauge s x ≤ a } = ⋂ (r : ℝ) (_ : a < r), r • s := by
ext x
simp_rw [Set.mem_iInter, Set.mem_setOf_eq]
refine ⟨fun h r hr => ?_, fun h => le_of_forall_pos_lt_add fun ε hε => ?_⟩
· have hr' := ha.trans_lt hr
rw [mem_smul_set_iff_inv_smul_mem₀ hr'.ne']
obtain ⟨δ, δ_pos, hδr, hδ⟩ := exists_lt_of_gauge_lt hs₂ (h.trans_lt hr)
suffices (r⁻¹ * δ) • δ⁻¹ • x ∈ s by rwa [smul_smul, mul_inv_cancel_right₀ δ_pos.ne'] at this
rw [mem_smul_set_iff_inv_smul_mem₀ δ_pos.ne'] at hδ
refine hs₁.smul_mem_of_zero_mem hs₀ hδ ⟨by positivity, ?_⟩
rw [inv_mul_le_iff₀ hr', mul_one]
exact hδr.le
· have hε' := (lt_add_iff_pos_right a).2 (half_pos hε)
exact
(gauge_le_of_mem (ha.trans hε'.le) <| h _ hε').trans_lt (add_lt_add_left (half_lt_self hε) _)
theorem gauge_lt_eq' (absorbs : Absorbent ℝ s) (a : ℝ) :
{ x | gauge s x < a } = ⋃ (r : ℝ) (_ : 0 < r) (_ : r < a), r • s := by
ext
simp_rw [mem_setOf, mem_iUnion, exists_prop]
exact
⟨exists_lt_of_gauge_lt absorbs, fun ⟨r, hr₀, hr₁, hx⟩ =>
(gauge_le_of_mem hr₀.le hx).trans_lt hr₁⟩
theorem gauge_lt_eq (absorbs : Absorbent ℝ s) (a : ℝ) :
{ x | gauge s x < a } = ⋃ r ∈ Set.Ioo 0 (a : ℝ), r • s := by
ext
simp_rw [mem_setOf, mem_iUnion, exists_prop, mem_Ioo, and_assoc]
exact
⟨exists_lt_of_gauge_lt absorbs, fun ⟨r, hr₀, hr₁, hx⟩ =>
(gauge_le_of_mem hr₀.le hx).trans_lt hr₁⟩
theorem mem_openSegment_of_gauge_lt_one (absorbs : Absorbent ℝ s) (hgauge : gauge s x < 1) :
∃ y ∈ s, x ∈ openSegment ℝ 0 y := by
rcases exists_lt_of_gauge_lt absorbs hgauge with ⟨r, hr₀, hr₁, y, hy, rfl⟩
refine ⟨y, hy, 1 - r, r, ?_⟩
simp [*]
theorem gauge_lt_one_subset_self (hs : Convex ℝ s) (h₀ : (0 : E) ∈ s) (absorbs : Absorbent ℝ s) :
{ x | gauge s x < 1 } ⊆ s := fun _x hx ↦
let ⟨_y, hys, hx⟩ := mem_openSegment_of_gauge_lt_one absorbs hx
hs.openSegment_subset h₀ hys hx
theorem gauge_le_one_of_mem {x : E} (hx : x ∈ s) : gauge s x ≤ 1 :=
gauge_le_of_mem zero_le_one <| by rwa [one_smul]
/-- Gauge is subadditive. -/
theorem gauge_add_le (hs : Convex ℝ s) (absorbs : Absorbent ℝ s) (x y : E) :
gauge s (x + y) ≤ gauge s x + gauge s y := by
refine le_of_forall_pos_lt_add fun ε hε => ?_
obtain ⟨a, ha, ha', x, hx, rfl⟩ :=
exists_lt_of_gauge_lt absorbs (lt_add_of_pos_right (gauge s x) (half_pos hε))
obtain ⟨b, hb, hb', y, hy, rfl⟩ :=
exists_lt_of_gauge_lt absorbs (lt_add_of_pos_right (gauge s y) (half_pos hε))
calc
gauge s (a • x + b • y) ≤ a + b := gauge_le_of_mem (by positivity) <| by
rw [hs.add_smul ha.le hb.le]
exact add_mem_add (smul_mem_smul_set hx) (smul_mem_smul_set hy)
_ < gauge s (a • x) + gauge s (b • y) + ε := by linarith
theorem self_subset_gauge_le_one : s ⊆ { x | gauge s x ≤ 1 } := fun _ => gauge_le_one_of_mem
theorem Convex.gauge_le (hs : Convex ℝ s) (h₀ : (0 : E) ∈ s) (absorbs : Absorbent ℝ s) (a : ℝ) :
Convex ℝ { x | gauge s x ≤ a } := by
by_cases ha : 0 ≤ a
· rw [gauge_le_eq hs h₀ absorbs ha]
exact convex_iInter fun i => convex_iInter fun _ => hs.smul _
· convert convex_empty (𝕜 := ℝ)
exact eq_empty_iff_forall_not_mem.2 fun x hx => ha <| (gauge_nonneg _).trans hx
theorem Balanced.starConvex (hs : Balanced ℝ s) : StarConvex ℝ 0 s :=
starConvex_zero_iff.2 fun _ hx a ha₀ ha₁ =>
hs _ (by rwa [Real.norm_of_nonneg ha₀]) (smul_mem_smul_set hx)
theorem le_gauge_of_not_mem (hs₀ : StarConvex ℝ 0 s) (hs₂ : Absorbs ℝ s {x}) (hx : x ∉ a • s) :
a ≤ gauge s x := by
rw [starConvex_zero_iff] at hs₀
obtain ⟨r, hr, h⟩ := hs₂.exists_pos
refine le_csInf ⟨r, hr, singleton_subset_iff.1 <| h _ (Real.norm_of_nonneg hr.le).ge⟩ ?_
rintro b ⟨hb, x, hx', rfl⟩
refine not_lt.1 fun hba => hx ?_
have ha := hb.trans hba
refine ⟨(a⁻¹ * b) • x, hs₀ hx' (by positivity) ?_, ?_⟩
· rw [← div_eq_inv_mul]
exact div_le_one_of_le₀ hba.le ha.le
· dsimp only
rw [← mul_smul, mul_inv_cancel_left₀ ha.ne']
theorem one_le_gauge_of_not_mem (hs₁ : StarConvex ℝ 0 s) (hs₂ : Absorbs ℝ s {x}) (hx : x ∉ s) :
1 ≤ gauge s x :=
le_gauge_of_not_mem hs₁ hs₂ <| by rwa [one_smul]
section LinearOrderedField
variable {α : Type*} [Field α] [LinearOrder α] [IsStrictOrderedRing α]
[MulActionWithZero α ℝ] [OrderedSMul α ℝ]
theorem gauge_smul_of_nonneg [MulActionWithZero α E] [IsScalarTower α ℝ (Set E)] {s : Set E} {a : α}
(ha : 0 ≤ a) (x : E) : gauge s (a • x) = a • gauge s x := by
obtain rfl | ha' := ha.eq_or_lt
· rw [zero_smul, gauge_zero, zero_smul]
rw [gauge_def', gauge_def', ← Real.sInf_smul_of_nonneg ha]
congr 1
ext r
simp_rw [Set.mem_smul_set, Set.mem_sep_iff]
constructor
· rintro ⟨hr, hx⟩
simp_rw [mem_Ioi] at hr ⊢
rw [← mem_smul_set_iff_inv_smul_mem₀ hr.ne'] at hx
have := smul_pos (inv_pos.2 ha') hr
refine ⟨a⁻¹ • r, ⟨this, ?_⟩, smul_inv_smul₀ ha'.ne' _⟩
rwa [← mem_smul_set_iff_inv_smul_mem₀ this.ne', smul_assoc,
mem_smul_set_iff_inv_smul_mem₀ (inv_ne_zero ha'.ne'), inv_inv]
· rintro ⟨r, ⟨hr, hx⟩, rfl⟩
rw [mem_Ioi] at hr ⊢
rw [← mem_smul_set_iff_inv_smul_mem₀ hr.ne'] at hx
have := smul_pos ha' hr
refine ⟨this, ?_⟩
rw [← mem_smul_set_iff_inv_smul_mem₀ this.ne', smul_assoc]
exact smul_mem_smul_set hx
theorem gauge_smul_left_of_nonneg [MulActionWithZero α E] [SMulCommClass α ℝ ℝ]
[IsScalarTower α ℝ ℝ] [IsScalarTower α ℝ E] {s : Set E} {a : α} (ha : 0 ≤ a) :
gauge (a • s) = a⁻¹ • gauge s := by
obtain rfl | ha' := ha.eq_or_lt
· rw [inv_zero, zero_smul, gauge_of_subset_zero (zero_smul_set_subset _)]
ext x
rw [gauge_def', Pi.smul_apply, gauge_def', ← Real.sInf_smul_of_nonneg (inv_nonneg.2 ha)]
congr 1
ext r
simp_rw [Set.mem_smul_set, Set.mem_sep_iff]
constructor
· rintro ⟨hr, y, hy, h⟩
simp_rw [mem_Ioi] at hr ⊢
refine ⟨a • r, ⟨smul_pos ha' hr, ?_⟩, inv_smul_smul₀ ha'.ne' _⟩
rwa [smul_inv₀, smul_assoc, ← h, inv_smul_smul₀ ha'.ne']
· rintro ⟨r, ⟨hr, hx⟩, rfl⟩
rw [mem_Ioi] at hr ⊢
refine ⟨smul_pos (inv_pos.2 ha') hr, r⁻¹ • x, hx, ?_⟩
rw [smul_inv₀, smul_assoc, inv_inv]
theorem gauge_smul_left [Module α E] [SMulCommClass α ℝ ℝ] [IsScalarTower α ℝ ℝ]
[IsScalarTower α ℝ E] {s : Set E} (symmetric : ∀ x ∈ s, -x ∈ s) (a : α) :
gauge (a • s) = |a|⁻¹ • gauge s := by
rw [← gauge_smul_left_of_nonneg (abs_nonneg a)]
obtain h | h := abs_choice a
· rw [h]
· rw [h, Set.neg_smul_set, ← Set.smul_set_neg]
-- Porting note: was congr
apply congr_arg
apply congr_arg
ext y
refine ⟨symmetric _, fun hy => ?_⟩
rw [← neg_neg y]
exact symmetric _ hy
end LinearOrderedField
section RCLike
variable [RCLike 𝕜] [Module 𝕜 E] [IsScalarTower ℝ 𝕜 E]
theorem gauge_norm_smul (hs : Balanced 𝕜 s) (r : 𝕜) (x : E) :
gauge s (‖r‖ • x) = gauge s (r • x) := by
unfold gauge
congr with θ
rw [@RCLike.real_smul_eq_coe_smul 𝕜]
refine and_congr_right fun hθ => (hs.smul _).smul_mem_iff ?_
rw [RCLike.norm_ofReal, abs_norm]
/-- If `s` is balanced, then the Minkowski functional is ℂ-homogeneous. -/
theorem gauge_smul (hs : Balanced 𝕜 s) (r : 𝕜) (x : E) : gauge s (r • x) = ‖r‖ * gauge s x := by
rw [← smul_eq_mul, ← gauge_smul_of_nonneg (norm_nonneg r), gauge_norm_smul hs]
end RCLike
open Filter
section TopologicalSpace
variable [TopologicalSpace E]
theorem comap_gauge_nhds_zero_le (ha : Absorbent ℝ s) (hb : Bornology.IsVonNBounded ℝ s) :
comap (gauge s) (𝓝 0) ≤ 𝓝 0 := fun u hu ↦ by
rcases (hb hu).exists_pos with ⟨r, hr₀, hr⟩
filter_upwards [preimage_mem_comap (gt_mem_nhds (inv_pos.2 hr₀))] with x (hx : gauge s x < r⁻¹)
rcases exists_lt_of_gauge_lt ha hx with ⟨c, hc₀, hcr, y, hy, rfl⟩
have hrc := (lt_inv_comm₀ hr₀ hc₀).2 hcr
rcases hr c⁻¹ (hrc.le.trans (le_abs_self _)) hy with ⟨z, hz, rfl⟩
simpa only [smul_inv_smul₀ hc₀.ne']
variable [T1Space E]
theorem gauge_eq_zero (hs : Absorbent ℝ s) (hb : Bornology.IsVonNBounded ℝ s) :
gauge s x = 0 ↔ x = 0 := by
refine ⟨fun h₀ ↦ by_contra fun (hne : x ≠ 0) ↦ ?_, fun h ↦ h.symm ▸ gauge_zero⟩
have : {x}ᶜ ∈ comap (gauge s) (𝓝 0) :=
comap_gauge_nhds_zero_le hs hb (isOpen_compl_singleton.mem_nhds hne.symm)
rcases ((nhds_basis_zero_abs_lt _).comap _).mem_iff.1 this with ⟨r, hr₀, hr⟩
exact hr (by simpa [h₀]) rfl
theorem gauge_pos (hs : Absorbent ℝ s) (hb : Bornology.IsVonNBounded ℝ s) :
0 < gauge s x ↔ x ≠ 0 := by
simp only [(gauge_nonneg _).gt_iff_ne, Ne, gauge_eq_zero hs hb]
end TopologicalSpace
section ContinuousSMul
variable [TopologicalSpace E] [ContinuousSMul ℝ E]
open Filter in
theorem interior_subset_gauge_lt_one (s : Set E) : interior s ⊆ { x | gauge s x < 1 } := by
intro x hx
have H₁ : Tendsto (fun r : ℝ ↦ r⁻¹ • x) (𝓝[<] 1) (𝓝 ((1 : ℝ)⁻¹ • x)) :=
((tendsto_id.inv₀ one_ne_zero).smul tendsto_const_nhds).mono_left inf_le_left
rw [inv_one, one_smul] at H₁
have H₂ : ∀ᶠ r in 𝓝[<] (1 : ℝ), x ∈ r • s ∧ 0 < r ∧ r < 1 := by
filter_upwards [H₁ (mem_interior_iff_mem_nhds.1 hx), Ioo_mem_nhdsLT one_pos] with r h₁ h₂
exact ⟨(mem_smul_set_iff_inv_smul_mem₀ h₂.1.ne' _ _).2 h₁, h₂⟩
rcases H₂.exists with ⟨r, hxr, hr₀, hr₁⟩
exact (gauge_le_of_mem hr₀.le hxr).trans_lt hr₁
theorem gauge_lt_one_eq_self_of_isOpen (hs₁ : Convex ℝ s) (hs₀ : (0 : E) ∈ s) (hs₂ : IsOpen s) :
{ x | gauge s x < 1 } = s := by
refine (gauge_lt_one_subset_self hs₁ ‹_› <| absorbent_nhds_zero <| hs₂.mem_nhds hs₀).antisymm ?_
convert interior_subset_gauge_lt_one s
exact hs₂.interior_eq.symm
theorem gauge_lt_one_of_mem_of_isOpen (hs₂ : IsOpen s) {x : E} (hx : x ∈ s) :
gauge s x < 1 :=
interior_subset_gauge_lt_one s <| by rwa [hs₂.interior_eq]
theorem gauge_lt_of_mem_smul (x : E) (ε : ℝ) (hε : 0 < ε) (hs₂ : IsOpen s) (hx : x ∈ ε • s) :
gauge s x < ε := by
have : ε⁻¹ • x ∈ s := by rwa [← mem_smul_set_iff_inv_smul_mem₀ hε.ne']
have h_gauge_lt := gauge_lt_one_of_mem_of_isOpen hs₂ this
rwa [gauge_smul_of_nonneg (inv_nonneg.2 hε.le), smul_eq_mul, inv_mul_lt_iff₀ hε, mul_one]
at h_gauge_lt
theorem mem_closure_of_gauge_le_one (hc : Convex ℝ s) (hs₀ : 0 ∈ s) (ha : Absorbent ℝ s)
(h : gauge s x ≤ 1) : x ∈ closure s := by
have : ∀ᶠ r : ℝ in 𝓝[<] 1, r • x ∈ s := by
filter_upwards [Ico_mem_nhdsLT one_pos] with r ⟨hr₀, hr₁⟩
apply gauge_lt_one_subset_self hc hs₀ ha
rw [mem_setOf_eq, gauge_smul_of_nonneg hr₀]
exact mul_lt_one_of_nonneg_of_lt_one_left hr₀ hr₁ h
refine mem_closure_of_tendsto ?_ this
exact Filter.Tendsto.mono_left (Continuous.tendsto' (by fun_prop) _ _ (one_smul _ _))
inf_le_left
theorem mem_frontier_of_gauge_eq_one (hc : Convex ℝ s) (hs₀ : 0 ∈ s) (ha : Absorbent ℝ s)
(h : gauge s x = 1) : x ∈ frontier s :=
⟨mem_closure_of_gauge_le_one hc hs₀ ha h.le, fun h' ↦
(interior_subset_gauge_lt_one s h').out.ne h⟩
theorem tendsto_gauge_nhds_zero_nhdsGE (hs : s ∈ 𝓝 0) : Tendsto (gauge s) (𝓝 0) (𝓝[≥] 0) := by
refine nhdsGE_basis_Icc.tendsto_right_iff.2 fun ε hε ↦ ?_
rw [← set_smul_mem_nhds_zero_iff hε.ne'] at hs
filter_upwards [hs] with x hx
exact ⟨gauge_nonneg _, gauge_le_of_mem hε.le hx⟩
@[deprecated (since := "2025-03-02")]
alias tendsto_gauge_nhds_zero' := tendsto_gauge_nhds_zero_nhdsGE
theorem tendsto_gauge_nhds_zero (hs : s ∈ 𝓝 0) : Tendsto (gauge s) (𝓝 0) (𝓝 0) :=
(tendsto_gauge_nhds_zero_nhdsGE hs).mono_right inf_le_left
/-- If `s` is a neighborhood of the origin, then `gauge s` is continuous at the origin.
See also `continuousAt_gauge`. -/
theorem continuousAt_gauge_zero (hs : s ∈ 𝓝 0) : ContinuousAt (gauge s) 0 := by
rw [ContinuousAt, gauge_zero]
exact tendsto_gauge_nhds_zero hs
theorem comap_gauge_nhds_zero (hb : Bornology.IsVonNBounded ℝ s) (h₀ : s ∈ 𝓝 0) :
comap (gauge s) (𝓝 0) = 𝓝 0 :=
(comap_gauge_nhds_zero_le (absorbent_nhds_zero h₀) hb).antisymm
(tendsto_gauge_nhds_zero h₀).le_comap
end ContinuousSMul
section TopologicalVectorSpace
open Filter
variable [TopologicalSpace E] [IsTopologicalAddGroup E] [ContinuousSMul ℝ E]
/-- If `s` is a convex neighborhood of the origin in a topological real vector space, then `gauge s`
is continuous. If the ambient space is a normed space, then `gauge s` is Lipschitz continuous, see
`Convex.lipschitz_gauge`. -/
theorem continuousAt_gauge (hc : Convex ℝ s) (hs₀ : s ∈ 𝓝 0) : ContinuousAt (gauge s) x := by
have ha : Absorbent ℝ s := absorbent_nhds_zero hs₀
refine (nhds_basis_Icc_pos _).tendsto_right_iff.2 fun ε hε₀ ↦ ?_
rw [← map_add_left_nhds_zero, eventually_map]
have : ε • s ∩ -(ε • s) ∈ 𝓝 0 :=
inter_mem ((set_smul_mem_nhds_zero_iff hε₀.ne').2 hs₀)
(neg_mem_nhds_zero _ ((set_smul_mem_nhds_zero_iff hε₀.ne').2 hs₀))
filter_upwards [this] with y hy
constructor
· rw [sub_le_iff_le_add]
calc
gauge s x = gauge s (x + y + (-y)) := by simp
_ ≤ gauge s (x + y) + gauge s (-y) := gauge_add_le hc ha _ _
_ ≤ gauge s (x + y) + ε := add_le_add_left (gauge_le_of_mem hε₀.le (mem_neg.1 hy.2)) _
· calc
gauge s (x + y) ≤ gauge s x + gauge s y := gauge_add_le hc ha _ _
_ ≤ gauge s x + ε := add_le_add_left (gauge_le_of_mem hε₀.le hy.1) _
/-- If `s` is a convex neighborhood of the origin in a topological real vector space, then `gauge s`
is continuous. If the ambient space is a normed space, then `gauge s` is Lipschitz continuous, see
`Convex.lipschitz_gauge`. -/
@[continuity]
theorem continuous_gauge (hc : Convex ℝ s) (hs₀ : s ∈ 𝓝 0) : Continuous (gauge s) :=
continuous_iff_continuousAt.2 fun _ ↦ continuousAt_gauge hc hs₀
theorem gauge_lt_one_eq_interior (hc : Convex ℝ s) (hs₀ : s ∈ 𝓝 0) :
{ x | gauge s x < 1 } = interior s := by
refine Subset.antisymm (fun x hx ↦ ?_) (interior_subset_gauge_lt_one s)
rcases mem_openSegment_of_gauge_lt_one (absorbent_nhds_zero hs₀) hx with ⟨y, hys, hxy⟩
exact hc.openSegment_interior_self_subset_interior (mem_interior_iff_mem_nhds.2 hs₀) hys hxy
theorem gauge_lt_one_iff_mem_interior (hc : Convex ℝ s) (hs₀ : s ∈ 𝓝 0) :
gauge s x < 1 ↔ x ∈ interior s :=
Set.ext_iff.1 (gauge_lt_one_eq_interior hc hs₀) _
theorem gauge_le_one_iff_mem_closure (hc : Convex ℝ s) (hs₀ : s ∈ 𝓝 0) :
gauge s x ≤ 1 ↔ x ∈ closure s :=
⟨mem_closure_of_gauge_le_one hc (mem_of_mem_nhds hs₀) (absorbent_nhds_zero hs₀), fun h ↦
le_on_closure (fun _ ↦ gauge_le_one_of_mem) (continuous_gauge hc hs₀).continuousOn
continuousOn_const h⟩
theorem gauge_eq_one_iff_mem_frontier (hc : Convex ℝ s) (hs₀ : s ∈ 𝓝 0) :
gauge s x = 1 ↔ x ∈ frontier s := by
rw [eq_iff_le_not_lt, gauge_le_one_iff_mem_closure hc hs₀, gauge_lt_one_iff_mem_interior hc hs₀]
rfl
end TopologicalVectorSpace
section RCLike
variable [RCLike 𝕜] [Module 𝕜 E] [IsScalarTower ℝ 𝕜 E]
/-- `gauge s` as a seminorm when `s` is balanced, convex and absorbent. -/
@[simps!]
def gaugeSeminorm (hs₀ : Balanced 𝕜 s) (hs₁ : Convex ℝ s) (hs₂ : Absorbent ℝ s) : Seminorm 𝕜 E :=
Seminorm.of (gauge s) (gauge_add_le hs₁ hs₂) (gauge_smul hs₀)
variable {hs₀ : Balanced 𝕜 s} {hs₁ : Convex ℝ s} {hs₂ : Absorbent ℝ s} [TopologicalSpace E]
[ContinuousSMul ℝ E]
theorem gaugeSeminorm_lt_one_of_isOpen (hs : IsOpen s) {x : E} (hx : x ∈ s) :
gaugeSeminorm hs₀ hs₁ hs₂ x < 1 :=
gauge_lt_one_of_mem_of_isOpen hs hx
theorem gaugeSeminorm_ball_one (hs : IsOpen s) : (gaugeSeminorm hs₀ hs₁ hs₂).ball 0 1 = s := by
rw [Seminorm.ball_zero_eq]
exact gauge_lt_one_eq_self_of_isOpen hs₁ hs₂.zero_mem hs
end RCLike
/-- Any seminorm arises as the gauge of its unit ball. -/
@[simp]
protected theorem Seminorm.gauge_ball (p : Seminorm ℝ E) : gauge (p.ball 0 1) = p := by
ext x
obtain hp | hp := { r : ℝ | 0 < r ∧ x ∈ r • p.ball 0 1 }.eq_empty_or_nonempty
· rw [gauge, hp, Real.sInf_empty]
by_contra h
have hpx : 0 < p x := (apply_nonneg _ _).lt_of_ne h
have hpx₂ : 0 < 2 * p x := mul_pos zero_lt_two hpx
refine hp.subset ⟨hpx₂, (2 * p x)⁻¹ • x, ?_, smul_inv_smul₀ hpx₂.ne' _⟩
rw [p.mem_ball_zero, map_smul_eq_mul, Real.norm_eq_abs, abs_of_pos (inv_pos.2 hpx₂),
inv_mul_lt_iff₀ hpx₂, mul_one]
exact lt_mul_of_one_lt_left hpx one_lt_two
refine IsGLB.csInf_eq ⟨fun r => ?_, fun r hr => le_of_forall_pos_le_add fun ε hε => ?_⟩ hp
· rintro ⟨hr, y, hy, rfl⟩
rw [p.mem_ball_zero] at hy
rw [map_smul_eq_mul, Real.norm_eq_abs, abs_of_pos hr]
exact mul_le_of_le_one_right hr.le hy.le
· have hpε : 0 < p x + ε := by positivity
refine hr ⟨hpε, (p x + ε)⁻¹ • x, ?_, smul_inv_smul₀ hpε.ne' _⟩
rw [p.mem_ball_zero, map_smul_eq_mul, Real.norm_eq_abs, abs_of_pos (inv_pos.2 hpε),
inv_mul_lt_iff₀ hpε, mul_one]
exact lt_add_of_pos_right _ hε
theorem Seminorm.gaugeSeminorm_ball (p : Seminorm ℝ E) :
gaugeSeminorm (p.balanced_ball_zero 1) (p.convex_ball 0 1) (p.absorbent_ball_zero zero_lt_one) =
p :=
DFunLike.coe_injective p.gauge_ball
end AddCommGroup
section Seminormed
variable [SeminormedAddCommGroup E] [NormedSpace ℝ E] {s : Set E} {r : ℝ} {x : E}
open Metric
theorem gauge_unit_ball (x : E) : gauge (ball (0 : E) 1) x = ‖x‖ := by
rw [← ball_normSeminorm ℝ, Seminorm.gauge_ball, coe_normSeminorm]
theorem gauge_ball (hr : 0 ≤ r) (x : E) : gauge (ball (0 : E) r) x = ‖x‖ / r := by
rcases hr.eq_or_lt with rfl | hr
· simp
· rw [← smul_unitBall_of_pos hr, gauge_smul_left, Pi.smul_apply, gauge_unit_ball, smul_eq_mul,
abs_of_nonneg hr.le, div_eq_inv_mul]
simp_rw [mem_ball_zero_iff, norm_neg]
exact fun _ => id
@[simp]
theorem gauge_closure_zero : gauge (closure (0 : Set E)) = 0 := funext fun x ↦ by
simp only [← singleton_zero, gauge_def', mem_closure_zero_iff_norm, norm_smul, mul_eq_zero,
norm_eq_zero, inv_eq_zero]
rcases (norm_nonneg x).eq_or_gt with hx | hx
· convert csInf_Ioi (a := (0 : ℝ))
exact Set.ext fun r ↦ and_iff_left (.inr hx)
· convert Real.sInf_empty
exact eq_empty_of_forall_not_mem fun r ⟨hr₀, hr⟩ ↦ hx.ne' <| hr.resolve_left hr₀.out.ne'
@[simp]
theorem gauge_closedBall (hr : 0 ≤ r) (x : E) : gauge (closedBall (0 : E) r) x = ‖x‖ / r := by
rcases hr.eq_or_lt with rfl | hr'
· rw [div_zero, closedBall_zero', singleton_zero, gauge_closure_zero]; rfl
· apply le_antisymm
· rw [← gauge_ball hr]
exact gauge_mono (absorbent_ball_zero hr') ball_subset_closedBall x
· suffices ∀ᶠ R in 𝓝[>] r, ‖x‖ / R ≤ gauge (closedBall 0 r) x by
refine le_of_tendsto ?_ this
exact tendsto_const_nhds.div inf_le_left hr'.ne'
filter_upwards [self_mem_nhdsWithin] with R hR
rw [← gauge_ball (hr.trans hR.out.le)]
refine gauge_mono ?_ (closedBall_subset_ball hR) _
exact (absorbent_ball_zero hr').mono ball_subset_closedBall
theorem mul_gauge_le_norm (hs : Metric.ball (0 : E) r ⊆ s) : r * gauge s x ≤ ‖x‖ := by
obtain hr | hr := le_or_lt r 0
· exact (mul_nonpos_of_nonpos_of_nonneg hr <| gauge_nonneg _).trans (norm_nonneg _)
rw [mul_comm, ← le_div_iff₀ hr, ← gauge_ball hr.le]
exact gauge_mono (absorbent_ball_zero hr) hs x
theorem Convex.lipschitzWith_gauge {r : ℝ≥0} (hc : Convex ℝ s) (hr : 0 < r)
(hs : Metric.ball (0 : E) r ⊆ s) : LipschitzWith r⁻¹ (gauge s) :=
have : Absorbent ℝ (Metric.ball (0 : E) r) := absorbent_ball_zero hr
LipschitzWith.of_le_add_mul _ fun x y =>
calc
gauge s x = gauge s (y + (x - y)) := by simp
_ ≤ gauge s y + gauge s (x - y) := gauge_add_le hc (this.mono hs) _ _
_ ≤ gauge s y + ‖x - y‖ / r :=
add_le_add_left ((gauge_mono this hs (x - y)).trans_eq (gauge_ball hr.le _)) _
_ = gauge s y + r⁻¹ * dist x y := by rw [dist_eq_norm, div_eq_inv_mul, NNReal.coe_inv]
theorem Convex.lipschitz_gauge (hc : Convex ℝ s) (h₀ : s ∈ 𝓝 (0 : E)) :
∃ K, LipschitzWith K (gauge s) :=
let ⟨r, hr₀, hr⟩ := Metric.mem_nhds_iff.1 h₀
⟨(⟨r, hr₀.le⟩ : ℝ≥0)⁻¹, hc.lipschitzWith_gauge hr₀ hr⟩
theorem Convex.uniformContinuous_gauge (hc : Convex ℝ s) (h₀ : s ∈ 𝓝 (0 : E)) :
UniformContinuous (gauge s) :=
let ⟨_K, hK⟩ := hc.lipschitz_gauge h₀; hK.uniformContinuous
| end Seminormed
section Normed
variable [NormedAddCommGroup E] [NormedSpace ℝ E] {s : Set E} {r : ℝ} {x : E}
open Metric
theorem le_gauge_of_subset_closedBall (hs : Absorbent ℝ s) (hr : 0 ≤ r) (hsr : s ⊆ closedBall 0 r) :
| Mathlib/Analysis/Convex/Gauge.lean | 590 | 597 |
/-
Copyright (c) 2021 Thomas Browning. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Thomas Browning
-/
import Mathlib.Algebra.BigOperators.GroupWithZero.Finset
import Mathlib.Algebra.GroupWithZero.Subgroup
import Mathlib.Data.Finite.Card
import Mathlib.Data.Finite.Prod
import Mathlib.Data.Set.Card
import Mathlib.GroupTheory.Coset.Card
import Mathlib.GroupTheory.GroupAction.Quotient
import Mathlib.GroupTheory.QuotientGroup.Basic
/-!
# Index of a Subgroup
In this file we define the index of a subgroup, and prove several divisibility properties.
Several theorems proved in this file are known as Lagrange's theorem.
## Main definitions
- `H.index` : the index of `H : Subgroup G` as a natural number,
and returns 0 if the index is infinite.
- `H.relindex K` : the relative index of `H : Subgroup G` in `K : Subgroup G` as a natural number,
and returns 0 if the relative index is infinite.
# Main results
- `card_mul_index` : `Nat.card H * H.index = Nat.card G`
- `index_mul_card` : `H.index * Fintype.card H = Fintype.card G`
- `index_dvd_card` : `H.index ∣ Fintype.card G`
- `relindex_mul_index` : If `H ≤ K`, then `H.relindex K * K.index = H.index`
- `index_dvd_of_le` : If `H ≤ K`, then `K.index ∣ H.index`
- `relindex_mul_relindex` : `relindex` is multiplicative in towers
- `MulAction.index_stabilizer`: the index of the stabilizer is the cardinality of the orbit
-/
assert_not_exists Field
open scoped Pointwise
namespace Subgroup
open Cardinal Function
variable {G G' : Type*} [Group G] [Group G'] (H K L : Subgroup G)
/-- The index of a subgroup as a natural number. Returns `0` if the index is infinite. -/
@[to_additive "The index of an additive subgroup as a natural number.
Returns 0 if the index is infinite."]
noncomputable def index : ℕ :=
Nat.card (G ⧸ H)
/-- If `H` and `K` are subgroups of a group `G`, then `relindex H K : ℕ` is the index
of `H ∩ K` in `K`. The function returns `0` if the index is infinite. -/
@[to_additive "If `H` and `K` are subgroups of an additive group `G`, then `relindex H K : ℕ`
is the index of `H ∩ K` in `K`. The function returns `0` if the index is infinite."]
noncomputable def relindex : ℕ :=
(H.subgroupOf K).index
@[to_additive]
theorem index_comap_of_surjective {f : G' →* G} (hf : Function.Surjective f) :
(H.comap f).index = H.index := by
have key : ∀ x y : G',
QuotientGroup.leftRel (H.comap f) x y ↔ QuotientGroup.leftRel H (f x) (f y) := by
simp only [QuotientGroup.leftRel_apply]
exact fun x y => iff_of_eq (congr_arg (· ∈ H) (by rw [f.map_mul, f.map_inv]))
refine Cardinal.toNat_congr (Equiv.ofBijective (Quotient.map' f fun x y => (key x y).mp) ⟨?_, ?_⟩)
· simp_rw [← Quotient.eq''] at key
refine Quotient.ind' fun x => ?_
refine Quotient.ind' fun y => ?_
exact (key x y).mpr
· refine Quotient.ind' fun x => ?_
obtain ⟨y, hy⟩ := hf x
exact ⟨y, (Quotient.map'_mk'' f _ y).trans (congr_arg Quotient.mk'' hy)⟩
@[to_additive]
theorem index_comap (f : G' →* G) :
(H.comap f).index = H.relindex f.range :=
Eq.trans (congr_arg index (by rfl))
((H.subgroupOf f.range).index_comap_of_surjective f.rangeRestrict_surjective)
@[to_additive]
theorem relindex_comap (f : G' →* G) (K : Subgroup G') :
relindex (comap f H) K = relindex H (map f K) := by
rw [relindex, subgroupOf, comap_comap, index_comap, ← f.map_range, K.range_subtype]
variable {H K L}
@[to_additive relindex_mul_index]
theorem relindex_mul_index (h : H ≤ K) : H.relindex K * K.index = H.index :=
((mul_comm _ _).trans (Cardinal.toNat_mul _ _).symm).trans
(congr_arg Cardinal.toNat (Equiv.cardinal_eq (quotientEquivProdOfLE h))).symm
@[to_additive]
theorem index_dvd_of_le (h : H ≤ K) : K.index ∣ H.index :=
dvd_of_mul_left_eq (H.relindex K) (relindex_mul_index h)
@[to_additive]
theorem relindex_dvd_index_of_le (h : H ≤ K) : H.relindex K ∣ H.index :=
dvd_of_mul_right_eq K.index (relindex_mul_index h)
@[to_additive]
theorem relindex_subgroupOf (hKL : K ≤ L) :
(H.subgroupOf L).relindex (K.subgroupOf L) = H.relindex K :=
((index_comap (H.subgroupOf L) (inclusion hKL)).trans (congr_arg _ (inclusion_range hKL))).symm
variable (H K L)
@[to_additive relindex_mul_relindex]
theorem relindex_mul_relindex (hHK : H ≤ K) (hKL : K ≤ L) :
H.relindex K * K.relindex L = H.relindex L := by
rw [← relindex_subgroupOf hKL]
exact relindex_mul_index fun x hx => hHK hx
@[to_additive]
theorem inf_relindex_right : (H ⊓ K).relindex K = H.relindex K := by
rw [relindex, relindex, inf_subgroupOf_right]
@[to_additive]
theorem inf_relindex_left : (H ⊓ K).relindex H = K.relindex H := by
rw [inf_comm, inf_relindex_right]
@[to_additive relindex_inf_mul_relindex]
theorem relindex_inf_mul_relindex : H.relindex (K ⊓ L) * K.relindex L = (H ⊓ K).relindex L := by
rw [← inf_relindex_right H (K ⊓ L), ← inf_relindex_right K L, ← inf_relindex_right (H ⊓ K) L,
inf_assoc, relindex_mul_relindex (H ⊓ (K ⊓ L)) (K ⊓ L) L inf_le_right inf_le_right]
@[to_additive (attr := simp)]
theorem relindex_sup_right [K.Normal] : K.relindex (H ⊔ K) = K.relindex H :=
Nat.card_congr (QuotientGroup.quotientInfEquivProdNormalQuotient H K).toEquiv.symm
@[to_additive (attr := simp)]
theorem relindex_sup_left [K.Normal] : K.relindex (K ⊔ H) = K.relindex H := by
rw [sup_comm, relindex_sup_right]
@[to_additive]
theorem relindex_dvd_index_of_normal [H.Normal] : H.relindex K ∣ H.index :=
relindex_sup_right K H ▸ relindex_dvd_index_of_le le_sup_right
variable {H K}
@[to_additive]
theorem relindex_dvd_of_le_left (hHK : H ≤ K) : K.relindex L ∣ H.relindex L :=
inf_of_le_left hHK ▸ dvd_of_mul_left_eq _ (relindex_inf_mul_relindex _ _ _)
/-- A subgroup has index two if and only if there exists `a` such that for all `b`, exactly one
of `b * a` and `b` belong to `H`. -/
@[to_additive "An additive subgroup has index two if and only if there exists `a` such that
for all `b`, exactly one of `b + a` and `b` belong to `H`."]
theorem index_eq_two_iff : H.index = 2 ↔ ∃ a, ∀ b, Xor' (b * a ∈ H) (b ∈ H) := by
simp only [index, Nat.card_eq_two_iff' ((1 : G) : G ⧸ H), ExistsUnique, inv_mem_iff,
QuotientGroup.exists_mk, QuotientGroup.forall_mk, Ne, QuotientGroup.eq, mul_one,
xor_iff_iff_not]
refine exists_congr fun a =>
⟨fun ha b => ⟨fun hba hb => ?_, fun hb => ?_⟩, fun ha => ⟨?_, fun b hb => ?_⟩⟩
· exact ha.1 ((mul_mem_cancel_left hb).1 hba)
· exact inv_inv b ▸ ha.2 _ (mt (inv_mem_iff (x := b)).1 hb)
· rw [← inv_mem_iff (x := a), ← ha, inv_mul_cancel]
exact one_mem _
· rwa [ha, inv_mem_iff (x := b)]
@[to_additive]
theorem mul_mem_iff_of_index_two (h : H.index = 2) {a b : G} : a * b ∈ H ↔ (a ∈ H ↔ b ∈ H) := by
by_cases ha : a ∈ H; · simp only [ha, true_iff, mul_mem_cancel_left ha]
by_cases hb : b ∈ H; · simp only [hb, iff_true, mul_mem_cancel_right hb]
simp only [ha, hb, iff_true]
rcases index_eq_two_iff.1 h with ⟨c, hc⟩
refine (hc _).or.resolve_left ?_
rwa [mul_assoc, mul_mem_cancel_right ((hc _).or.resolve_right hb)]
@[to_additive]
theorem mul_self_mem_of_index_two (h : H.index = 2) (a : G) : a * a ∈ H := by
rw [mul_mem_iff_of_index_two h]
@[to_additive two_smul_mem_of_index_two]
theorem sq_mem_of_index_two (h : H.index = 2) (a : G) : a ^ 2 ∈ H :=
(pow_two a).symm ▸ mul_self_mem_of_index_two h a
variable (H K) {f : G →* G'}
@[to_additive (attr := simp)]
theorem index_top : (⊤ : Subgroup G).index = 1 :=
Nat.card_eq_one_iff_unique.mpr ⟨QuotientGroup.subsingleton_quotient_top, ⟨1⟩⟩
@[to_additive (attr := simp)]
theorem index_bot : (⊥ : Subgroup G).index = Nat.card G :=
Cardinal.toNat_congr QuotientGroup.quotientBot.toEquiv
@[to_additive (attr := simp)]
theorem relindex_top_left : (⊤ : Subgroup G).relindex H = 1 :=
index_top
@[to_additive (attr := simp)]
theorem relindex_top_right : H.relindex ⊤ = H.index := by
rw [← relindex_mul_index (show H ≤ ⊤ from le_top), index_top, mul_one]
@[to_additive (attr := simp)]
theorem relindex_bot_left : (⊥ : Subgroup G).relindex H = Nat.card H := by
rw [relindex, bot_subgroupOf, index_bot]
@[to_additive (attr := simp)]
theorem relindex_bot_right : H.relindex ⊥ = 1 := by rw [relindex, subgroupOf_bot_eq_top, index_top]
@[to_additive (attr := simp)]
theorem relindex_self : H.relindex H = 1 := by rw [relindex, subgroupOf_self, index_top]
@[to_additive]
theorem index_ker (f : G →* G') : f.ker.index = Nat.card f.range := by
rw [← MonoidHom.comap_bot, index_comap, relindex_bot_left]
@[to_additive]
theorem relindex_ker (f : G →* G') : f.ker.relindex K = Nat.card (K.map f) := by
rw [← MonoidHom.comap_bot, relindex_comap, relindex_bot_left]
@[to_additive (attr := simp) card_mul_index]
theorem card_mul_index : Nat.card H * H.index = Nat.card G := by
rw [← relindex_bot_left, ← index_bot]
exact relindex_mul_index bot_le
@[to_additive]
theorem card_dvd_of_surjective (f : G →* G') (hf : Function.Surjective f) :
Nat.card G' ∣ Nat.card G := by
rw [← Nat.card_congr (QuotientGroup.quotientKerEquivOfSurjective f hf).toEquiv]
exact Dvd.intro_left (Nat.card f.ker) f.ker.card_mul_index
@[to_additive]
theorem card_range_dvd (f : G →* G') : Nat.card f.range ∣ Nat.card G :=
card_dvd_of_surjective f.rangeRestrict f.rangeRestrict_surjective
@[to_additive]
theorem card_map_dvd (f : G →* G') : Nat.card (H.map f) ∣ Nat.card H :=
card_dvd_of_surjective (f.subgroupMap H) (f.subgroupMap_surjective H)
@[to_additive]
theorem index_map (f : G →* G') :
(H.map f).index = (H ⊔ f.ker).index * f.range.index := by
rw [← comap_map_eq, index_comap, relindex_mul_index (H.map_le_range f)]
@[to_additive]
theorem index_map_dvd {f : G →* G'} (hf : Function.Surjective f) :
(H.map f).index ∣ H.index := by
rw [index_map, f.range_eq_top_of_surjective hf, index_top, mul_one]
exact index_dvd_of_le le_sup_left
@[to_additive]
theorem dvd_index_map {f : G →* G'} (hf : f.ker ≤ H) :
H.index ∣ (H.map f).index := by
rw [index_map, sup_of_le_left hf]
apply dvd_mul_right
@[to_additive]
theorem index_map_eq (hf1 : Surjective f) (hf2 : f.ker ≤ H) : (H.map f).index = H.index :=
Nat.dvd_antisymm (H.index_map_dvd hf1) (H.dvd_index_map hf2)
@[to_additive]
lemma index_map_of_bijective (hf : Bijective f) (H : Subgroup G) : (H.map f).index = H.index :=
index_map_eq _ hf.2 (by rw [f.ker_eq_bot_iff.2 hf.1]; exact bot_le)
@[to_additive]
theorem index_map_of_injective {f : G →* G'} (hf : Function.Injective f) :
(H.map f).index = H.index * f.range.index := by
rw [H.index_map, f.ker_eq_bot_iff.mpr hf, sup_bot_eq]
@[to_additive]
theorem index_map_subtype {H : Subgroup G} (K : Subgroup H) :
(K.map H.subtype).index = K.index * H.index := by
rw [K.index_map_of_injective H.subtype_injective, H.range_subtype]
@[to_additive]
theorem index_eq_card : H.index = Nat.card (G ⧸ H) :=
rfl
@[to_additive index_mul_card]
theorem index_mul_card : H.index * Nat.card H = Nat.card G := by
rw [mul_comm, card_mul_index]
@[to_additive]
theorem index_dvd_card : H.index ∣ Nat.card G :=
⟨Nat.card H, H.index_mul_card.symm⟩
@[to_additive]
theorem relindex_dvd_card : H.relindex K ∣ Nat.card K :=
(H.subgroupOf K).index_dvd_card
variable {H K L}
@[to_additive]
theorem relindex_eq_zero_of_le_left (hHK : H ≤ K) (hKL : K.relindex L = 0) : H.relindex L = 0 :=
eq_zero_of_zero_dvd (hKL ▸ relindex_dvd_of_le_left L hHK)
@[to_additive]
theorem relindex_eq_zero_of_le_right (hKL : K ≤ L) (hHK : H.relindex K = 0) : H.relindex L = 0 :=
Finite.card_eq_zero_of_embedding (quotientSubgroupOfEmbeddingOfLE H hKL) hHK
| @[to_additive]
theorem index_eq_zero_of_relindex_eq_zero (h : H.relindex K = 0) : H.index = 0 :=
H.relindex_top_right.symm.trans (relindex_eq_zero_of_le_right le_top h)
| Mathlib/GroupTheory/Index.lean | 297 | 300 |
/-
Copyright (c) 2020 Rémy Degenne. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Rémy Degenne, Sébastien Gouëzel
-/
import Mathlib.Analysis.NormedSpace.IndicatorFunction
import Mathlib.Data.Fintype.Order
import Mathlib.MeasureTheory.Function.AEEqFun
import Mathlib.MeasureTheory.Function.LpSeminorm.Defs
import Mathlib.MeasureTheory.Function.SpecialFunctions.Basic
import Mathlib.MeasureTheory.Integral.Lebesgue.Countable
import Mathlib.MeasureTheory.Integral.Lebesgue.Sub
/-!
# Basic theorems about ℒp space
-/
noncomputable section
open TopologicalSpace MeasureTheory Filter
open scoped NNReal ENNReal Topology ComplexConjugate
variable {α ε ε' E F G : Type*} {m m0 : MeasurableSpace α} {p : ℝ≥0∞} {q : ℝ} {μ ν : Measure α}
[NormedAddCommGroup E] [NormedAddCommGroup F] [NormedAddCommGroup G] [ENorm ε] [ENorm ε']
namespace MeasureTheory
section Lp
section Top
theorem MemLp.eLpNorm_lt_top [TopologicalSpace ε] {f : α → ε} (hfp : MemLp f p μ) :
eLpNorm f p μ < ∞ :=
hfp.2
@[deprecated (since := "2025-02-21")]
alias Memℒp.eLpNorm_lt_top := MemLp.eLpNorm_lt_top
theorem MemLp.eLpNorm_ne_top [TopologicalSpace ε] {f : α → ε} (hfp : MemLp f p μ) :
eLpNorm f p μ ≠ ∞ :=
ne_of_lt hfp.2
@[deprecated (since := "2025-02-21")]
alias Memℒp.eLpNorm_ne_top := MemLp.eLpNorm_ne_top
theorem lintegral_rpow_enorm_lt_top_of_eLpNorm'_lt_top {f : α → ε} (hq0_lt : 0 < q)
(hfq : eLpNorm' f q μ < ∞) : ∫⁻ a, ‖f a‖ₑ ^ q ∂μ < ∞ := by
rw [lintegral_rpow_enorm_eq_rpow_eLpNorm' hq0_lt]
exact ENNReal.rpow_lt_top_of_nonneg (le_of_lt hq0_lt) (ne_of_lt hfq)
@[deprecated (since := "2025-01-17")]
alias lintegral_rpow_nnnorm_lt_top_of_eLpNorm'_lt_top' :=
lintegral_rpow_enorm_lt_top_of_eLpNorm'_lt_top
theorem lintegral_rpow_enorm_lt_top_of_eLpNorm_lt_top {f : α → ε} (hp_ne_zero : p ≠ 0)
(hp_ne_top : p ≠ ∞) (hfp : eLpNorm f p μ < ∞) : ∫⁻ a, ‖f a‖ₑ ^ p.toReal ∂μ < ∞ := by
apply lintegral_rpow_enorm_lt_top_of_eLpNorm'_lt_top
· exact ENNReal.toReal_pos hp_ne_zero hp_ne_top
· simpa [eLpNorm_eq_eLpNorm' hp_ne_zero hp_ne_top] using hfp
@[deprecated (since := "2025-01-17")]
alias lintegral_rpow_nnnorm_lt_top_of_eLpNorm_lt_top :=
lintegral_rpow_enorm_lt_top_of_eLpNorm_lt_top
theorem eLpNorm_lt_top_iff_lintegral_rpow_enorm_lt_top {f : α → ε} (hp_ne_zero : p ≠ 0)
(hp_ne_top : p ≠ ∞) : eLpNorm f p μ < ∞ ↔ ∫⁻ a, (‖f a‖ₑ) ^ p.toReal ∂μ < ∞ :=
⟨lintegral_rpow_enorm_lt_top_of_eLpNorm_lt_top hp_ne_zero hp_ne_top, by
intro h
have hp' := ENNReal.toReal_pos hp_ne_zero hp_ne_top
have : 0 < 1 / p.toReal := div_pos zero_lt_one hp'
simpa [eLpNorm_eq_lintegral_rpow_enorm hp_ne_zero hp_ne_top] using
ENNReal.rpow_lt_top_of_nonneg (le_of_lt this) (ne_of_lt h)⟩
@[deprecated (since := "2025-02-04")] alias
eLpNorm_lt_top_iff_lintegral_rpow_nnnorm_lt_top := eLpNorm_lt_top_iff_lintegral_rpow_enorm_lt_top
end Top
section Zero
@[simp]
theorem eLpNorm'_exponent_zero {f : α → ε} : eLpNorm' f 0 μ = 1 := by
rw [eLpNorm', div_zero, ENNReal.rpow_zero]
@[simp]
theorem eLpNorm_exponent_zero {f : α → ε} : eLpNorm f 0 μ = 0 := by simp [eLpNorm]
@[simp]
theorem memLp_zero_iff_aestronglyMeasurable [TopologicalSpace ε] {f : α → ε} :
MemLp f 0 μ ↔ AEStronglyMeasurable f μ := by simp [MemLp, eLpNorm_exponent_zero]
@[deprecated (since := "2025-02-21")]
alias memℒp_zero_iff_aestronglyMeasurable := memLp_zero_iff_aestronglyMeasurable
section ENormedAddMonoid
variable {ε : Type*} [TopologicalSpace ε] [ENormedAddMonoid ε]
@[simp]
theorem eLpNorm'_zero (hp0_lt : 0 < q) : eLpNorm' (0 : α → ε) q μ = 0 := by
simp [eLpNorm'_eq_lintegral_enorm, hp0_lt]
@[simp]
theorem eLpNorm'_zero' (hq0_ne : q ≠ 0) (hμ : μ ≠ 0) : eLpNorm' (0 : α → ε) q μ = 0 := by
rcases le_or_lt 0 q with hq0 | hq_neg
· exact eLpNorm'_zero (lt_of_le_of_ne hq0 hq0_ne.symm)
· simp [eLpNorm'_eq_lintegral_enorm, ENNReal.rpow_eq_zero_iff, hμ, hq_neg]
@[simp]
theorem eLpNormEssSup_zero : eLpNormEssSup (0 : α → ε) μ = 0 := by
simp [eLpNormEssSup, ← bot_eq_zero', essSup_const_bot]
@[simp]
theorem eLpNorm_zero : eLpNorm (0 : α → ε) p μ = 0 := by
by_cases h0 : p = 0
· simp [h0]
by_cases h_top : p = ∞
· simp only [h_top, eLpNorm_exponent_top, eLpNormEssSup_zero]
rw [← Ne] at h0
simp [eLpNorm_eq_eLpNorm' h0 h_top, ENNReal.toReal_pos h0 h_top]
@[simp]
theorem eLpNorm_zero' : eLpNorm (fun _ : α => (0 : ε)) p μ = 0 := eLpNorm_zero
@[simp] lemma MemLp.zero : MemLp (0 : α → ε) p μ :=
⟨aestronglyMeasurable_zero, by rw [eLpNorm_zero]; exact ENNReal.coe_lt_top⟩
@[simp] lemma MemLp.zero' : MemLp (fun _ : α => (0 : ε)) p μ := MemLp.zero
@[deprecated (since := "2025-02-21")]
alias Memℒp.zero' := MemLp.zero'
@[deprecated (since := "2025-01-21")] alias zero_memℒp := MemLp.zero
@[deprecated (since := "2025-01-21")] alias zero_mem_ℒp := MemLp.zero'
variable [MeasurableSpace α]
theorem eLpNorm'_measure_zero_of_pos {f : α → ε} (hq_pos : 0 < q) :
eLpNorm' f q (0 : Measure α) = 0 := by simp [eLpNorm', hq_pos]
theorem eLpNorm'_measure_zero_of_exponent_zero {f : α → ε} : eLpNorm' f 0 (0 : Measure α) = 1 := by
simp [eLpNorm']
theorem eLpNorm'_measure_zero_of_neg {f : α → ε} (hq_neg : q < 0) :
eLpNorm' f q (0 : Measure α) = ∞ := by simp [eLpNorm', hq_neg]
end ENormedAddMonoid
@[simp]
theorem eLpNormEssSup_measure_zero {f : α → ε} : eLpNormEssSup f (0 : Measure α) = 0 := by
simp [eLpNormEssSup]
@[simp]
theorem eLpNorm_measure_zero {f : α → ε} : eLpNorm f p (0 : Measure α) = 0 := by
by_cases h0 : p = 0
· simp [h0]
by_cases h_top : p = ∞
· simp [h_top]
rw [← Ne] at h0
simp [eLpNorm_eq_eLpNorm' h0 h_top, eLpNorm', ENNReal.toReal_pos h0 h_top]
section ContinuousENorm
variable {ε : Type*} [TopologicalSpace ε] [ContinuousENorm ε]
@[simp] lemma memLp_measure_zero {f : α → ε} : MemLp f p (0 : Measure α) := by
simp [MemLp]
@[deprecated (since := "2025-02-21")]
alias memℒp_measure_zero := memLp_measure_zero
end ContinuousENorm
end Zero
section Neg
@[simp]
theorem eLpNorm'_neg (f : α → F) (q : ℝ) (μ : Measure α) : eLpNorm' (-f) q μ = eLpNorm' f q μ := by
simp [eLpNorm'_eq_lintegral_enorm]
@[simp]
theorem eLpNorm_neg (f : α → F) (p : ℝ≥0∞) (μ : Measure α) : eLpNorm (-f) p μ = eLpNorm f p μ := by
by_cases h0 : p = 0
· simp [h0]
by_cases h_top : p = ∞
· simp [h_top, eLpNormEssSup_eq_essSup_enorm]
simp [eLpNorm_eq_eLpNorm' h0 h_top]
lemma eLpNorm_sub_comm (f g : α → E) (p : ℝ≥0∞) (μ : Measure α) :
eLpNorm (f - g) p μ = eLpNorm (g - f) p μ := by simp [← eLpNorm_neg (f := f - g)]
theorem MemLp.neg {f : α → E} (hf : MemLp f p μ) : MemLp (-f) p μ :=
⟨AEStronglyMeasurable.neg hf.1, by simp [hf.right]⟩
@[deprecated (since := "2025-02-21")]
alias Memℒp.neg := MemLp.neg
theorem memLp_neg_iff {f : α → E} : MemLp (-f) p μ ↔ MemLp f p μ :=
⟨fun h => neg_neg f ▸ h.neg, MemLp.neg⟩
@[deprecated (since := "2025-02-21")]
alias memℒp_neg_iff := memLp_neg_iff
end Neg
section Const
variable {ε' ε'' : Type*} [TopologicalSpace ε'] [ContinuousENorm ε']
[TopologicalSpace ε''] [ENormedAddMonoid ε'']
theorem eLpNorm'_const (c : ε) (hq_pos : 0 < q) :
eLpNorm' (fun _ : α => c) q μ = ‖c‖ₑ * μ Set.univ ^ (1 / q) := by
rw [eLpNorm'_eq_lintegral_enorm, lintegral_const,
ENNReal.mul_rpow_of_nonneg _ _ (by simp [hq_pos.le] : 0 ≤ 1 / q)]
congr
rw [← ENNReal.rpow_mul]
suffices hq_cancel : q * (1 / q) = 1 by rw [hq_cancel, ENNReal.rpow_one]
rw [one_div, mul_inv_cancel₀ (ne_of_lt hq_pos).symm]
-- Generalising this to ENormedAddMonoid requires a case analysis whether ‖c‖ₑ = ⊤,
-- and will happen in a future PR.
theorem eLpNorm'_const' [IsFiniteMeasure μ] (c : F) (hc_ne_zero : c ≠ 0) (hq_ne_zero : q ≠ 0) :
eLpNorm' (fun _ : α => c) q μ = ‖c‖ₑ * μ Set.univ ^ (1 / q) := by
rw [eLpNorm'_eq_lintegral_enorm, lintegral_const,
ENNReal.mul_rpow_of_ne_top _ (measure_ne_top μ Set.univ)]
· congr
rw [← ENNReal.rpow_mul]
suffices hp_cancel : q * (1 / q) = 1 by rw [hp_cancel, ENNReal.rpow_one]
rw [one_div, mul_inv_cancel₀ hq_ne_zero]
· rw [Ne, ENNReal.rpow_eq_top_iff, not_or, not_and_or, not_and_or]
simp [hc_ne_zero]
theorem eLpNormEssSup_const (c : ε) (hμ : μ ≠ 0) : eLpNormEssSup (fun _ : α => c) μ = ‖c‖ₑ := by
rw [eLpNormEssSup_eq_essSup_enorm, essSup_const _ hμ]
theorem eLpNorm'_const_of_isProbabilityMeasure (c : ε) (hq_pos : 0 < q) [IsProbabilityMeasure μ] :
eLpNorm' (fun _ : α => c) q μ = ‖c‖ₑ := by simp [eLpNorm'_const c hq_pos, measure_univ]
theorem eLpNorm_const (c : ε) (h0 : p ≠ 0) (hμ : μ ≠ 0) :
eLpNorm (fun _ : α => c) p μ = ‖c‖ₑ * μ Set.univ ^ (1 / ENNReal.toReal p) := by
by_cases h_top : p = ∞
· simp [h_top, eLpNormEssSup_const c hμ]
simp [eLpNorm_eq_eLpNorm' h0 h_top, eLpNorm'_const, ENNReal.toReal_pos h0 h_top]
theorem eLpNorm_const' (c : ε) (h0 : p ≠ 0) (h_top : p ≠ ∞) :
eLpNorm (fun _ : α => c) p μ = ‖c‖ₑ * μ Set.univ ^ (1 / ENNReal.toReal p) := by
simp [eLpNorm_eq_eLpNorm' h0 h_top, eLpNorm'_const, ENNReal.toReal_pos h0 h_top]
-- NB. If ‖c‖ₑ = ∞ and μ is finite, this claim is false: the right has side is true,
-- but the left hand side is false (as the norm is infinite).
theorem eLpNorm_const_lt_top_iff_enorm {c : ε''} (hc' : ‖c‖ₑ ≠ ∞)
{p : ℝ≥0∞} (hp_ne_zero : p ≠ 0) (hp_ne_top : p ≠ ∞) :
eLpNorm (fun _ : α ↦ c) p μ < ∞ ↔ c = 0 ∨ μ Set.univ < ∞ := by
have hp : 0 < p.toReal := ENNReal.toReal_pos hp_ne_zero hp_ne_top
by_cases hμ : μ = 0
· simp only [hμ, Measure.coe_zero, Pi.zero_apply, or_true, ENNReal.zero_lt_top,
eLpNorm_measure_zero]
by_cases hc : c = 0
· simp only [hc, true_or, eq_self_iff_true, ENNReal.zero_lt_top, eLpNorm_zero']
rw [eLpNorm_const' c hp_ne_zero hp_ne_top]
obtain hμ_top | hμ_ne_top := eq_or_ne (μ .univ) ∞
· simp [hc, hμ_top, hp]
rw [ENNReal.mul_lt_top_iff]
simpa [hμ, hc, hμ_ne_top, hμ_ne_top.lt_top, hc, hc'.lt_top] using
ENNReal.rpow_lt_top_of_nonneg (inv_nonneg.mpr hp.le) hμ_ne_top
theorem eLpNorm_const_lt_top_iff {p : ℝ≥0∞} {c : F} (hp_ne_zero : p ≠ 0) (hp_ne_top : p ≠ ∞) :
eLpNorm (fun _ : α => c) p μ < ∞ ↔ c = 0 ∨ μ Set.univ < ∞ :=
eLpNorm_const_lt_top_iff_enorm enorm_ne_top hp_ne_zero hp_ne_top
theorem memLp_const_enorm {c : ε'} (hc : ‖c‖ₑ ≠ ⊤) [IsFiniteMeasure μ] :
MemLp (fun _ : α ↦ c) p μ := by
refine ⟨aestronglyMeasurable_const, ?_⟩
by_cases h0 : p = 0
· simp [h0]
by_cases hμ : μ = 0
· simp [hμ]
rw [eLpNorm_const c h0 hμ]
exact ENNReal.mul_lt_top hc.lt_top (ENNReal.rpow_lt_top_of_nonneg (by simp)
(measure_ne_top μ Set.univ))
theorem memLp_const (c : E) [IsFiniteMeasure μ] : MemLp (fun _ : α => c) p μ :=
memLp_const_enorm enorm_ne_top
@[deprecated (since := "2025-02-21")]
alias memℒp_const := memLp_const
theorem memLp_top_const_enorm {c : ε'} (hc : ‖c‖ₑ ≠ ⊤) :
MemLp (fun _ : α ↦ c) ∞ μ :=
⟨aestronglyMeasurable_const, by by_cases h : μ = 0 <;> simp [eLpNorm_const _, h, hc.lt_top]⟩
theorem memLp_top_const (c : E) : MemLp (fun _ : α => c) ∞ μ :=
memLp_top_const_enorm enorm_ne_top
@[deprecated (since := "2025-02-21")]
alias memℒp_top_const := memLp_top_const
theorem memLp_const_iff_enorm
{p : ℝ≥0∞} {c : ε''} (hc : ‖c‖ₑ ≠ ⊤) (hp_ne_zero : p ≠ 0) (hp_ne_top : p ≠ ∞) :
MemLp (fun _ : α ↦ c) p μ ↔ c = 0 ∨ μ Set.univ < ∞ := by
simp_all [MemLp, aestronglyMeasurable_const,
eLpNorm_const_lt_top_iff_enorm hc hp_ne_zero hp_ne_top]
theorem memLp_const_iff {p : ℝ≥0∞} {c : E} (hp_ne_zero : p ≠ 0) (hp_ne_top : p ≠ ∞) :
MemLp (fun _ : α => c) p μ ↔ c = 0 ∨ μ Set.univ < ∞ :=
memLp_const_iff_enorm enorm_ne_top hp_ne_zero hp_ne_top
@[deprecated (since := "2025-02-21")]
alias memℒp_const_iff := memLp_const_iff
end Const
variable {f : α → F}
lemma eLpNorm'_mono_enorm_ae {f : α → ε} {g : α → ε'} (hq : 0 ≤ q) (h : ∀ᵐ x ∂μ, ‖f x‖ₑ ≤ ‖g x‖ₑ) :
eLpNorm' f q μ ≤ eLpNorm' g q μ := by
simp only [eLpNorm'_eq_lintegral_enorm]
gcongr ?_ ^ (1/q)
refine lintegral_mono_ae (h.mono fun x hx => ?_)
gcongr
lemma eLpNorm'_mono_nnnorm_ae {f : α → F} {g : α → G} (hq : 0 ≤ q) (h : ∀ᵐ x ∂μ, ‖f x‖₊ ≤ ‖g x‖₊) :
eLpNorm' f q μ ≤ eLpNorm' g q μ := by
simp only [eLpNorm'_eq_lintegral_enorm]
gcongr ?_ ^ (1/q)
refine lintegral_mono_ae (h.mono fun x hx => ?_)
dsimp [enorm]
gcongr
theorem eLpNorm'_mono_ae {f : α → F} {g : α → G} (hq : 0 ≤ q) (h : ∀ᵐ x ∂μ, ‖f x‖ ≤ ‖g x‖) :
eLpNorm' f q μ ≤ eLpNorm' g q μ :=
eLpNorm'_mono_enorm_ae hq (by simpa only [enorm_le_iff_norm_le] using h)
theorem eLpNorm'_congr_enorm_ae {f g : α → ε} (hfg : ∀ᵐ x ∂μ, ‖f x‖ₑ = ‖g x‖ₑ) :
eLpNorm' f q μ = eLpNorm' g q μ := by
have : (‖f ·‖ₑ ^ q) =ᵐ[μ] (‖g ·‖ₑ ^ q) := hfg.mono fun x hx ↦ by simp [hx]
simp only [eLpNorm'_eq_lintegral_enorm, lintegral_congr_ae this]
theorem eLpNorm'_congr_nnnorm_ae {f g : α → F} (hfg : ∀ᵐ x ∂μ, ‖f x‖₊ = ‖g x‖₊) :
eLpNorm' f q μ = eLpNorm' g q μ := by
have : (‖f ·‖ₑ ^ q) =ᵐ[μ] (‖g ·‖ₑ ^ q) := hfg.mono fun x hx ↦ by simp [enorm, hx]
simp only [eLpNorm'_eq_lintegral_enorm, lintegral_congr_ae this]
theorem eLpNorm'_congr_norm_ae {f g : α → F} (hfg : ∀ᵐ x ∂μ, ‖f x‖ = ‖g x‖) :
eLpNorm' f q μ = eLpNorm' g q μ :=
eLpNorm'_congr_nnnorm_ae <| hfg.mono fun _x hx => NNReal.eq hx
theorem eLpNorm'_congr_ae {f g : α → ε} (hfg : f =ᵐ[μ] g) : eLpNorm' f q μ = eLpNorm' g q μ :=
eLpNorm'_congr_enorm_ae (hfg.fun_comp _)
theorem eLpNormEssSup_congr_ae {f g : α → ε} (hfg : f =ᵐ[μ] g) :
eLpNormEssSup f μ = eLpNormEssSup g μ :=
essSup_congr_ae (hfg.fun_comp enorm)
theorem eLpNormEssSup_mono_enorm_ae {f g : α → ε} (hfg : ∀ᵐ x ∂μ, ‖f x‖ₑ ≤ ‖g x‖ₑ) :
eLpNormEssSup f μ ≤ eLpNormEssSup g μ :=
essSup_mono_ae <| hfg
theorem eLpNormEssSup_mono_nnnorm_ae {f g : α → F} (hfg : ∀ᵐ x ∂μ, ‖f x‖₊ ≤ ‖g x‖₊) :
eLpNormEssSup f μ ≤ eLpNormEssSup g μ :=
essSup_mono_ae <| hfg.mono fun _x hx => ENNReal.coe_le_coe.mpr hx
theorem eLpNorm_mono_enorm_ae {f : α → ε} {g : α → ε'} (h : ∀ᵐ x ∂μ, ‖f x‖ₑ ≤ ‖g x‖ₑ) :
eLpNorm f p μ ≤ eLpNorm g p μ := by
simp only [eLpNorm]
split_ifs
· exact le_rfl
· exact essSup_mono_ae h
· exact eLpNorm'_mono_enorm_ae ENNReal.toReal_nonneg h
theorem eLpNorm_mono_nnnorm_ae {f : α → F} {g : α → G} (h : ∀ᵐ x ∂μ, ‖f x‖₊ ≤ ‖g x‖₊) :
eLpNorm f p μ ≤ eLpNorm g p μ := by
simp only [eLpNorm]
split_ifs
· exact le_rfl
· exact essSup_mono_ae (h.mono fun x hx => ENNReal.coe_le_coe.mpr hx)
· exact eLpNorm'_mono_nnnorm_ae ENNReal.toReal_nonneg h
theorem eLpNorm_mono_ae {f : α → F} {g : α → G} (h : ∀ᵐ x ∂μ, ‖f x‖ ≤ ‖g x‖) :
eLpNorm f p μ ≤ eLpNorm g p μ :=
eLpNorm_mono_enorm_ae (by simpa only [enorm_le_iff_norm_le] using h)
theorem eLpNorm_mono_ae' {ε' : Type*} [ENorm ε']
{f : α → ε} {g : α → ε'} (h : ∀ᵐ x ∂μ, ‖f x‖ₑ ≤ ‖g x‖ₑ) :
eLpNorm f p μ ≤ eLpNorm g p μ :=
eLpNorm_mono_enorm_ae (by simpa only [enorm_le_iff_norm_le] using h)
theorem eLpNorm_mono_ae_real {f : α → F} {g : α → ℝ} (h : ∀ᵐ x ∂μ, ‖f x‖ ≤ g x) :
eLpNorm f p μ ≤ eLpNorm g p μ :=
eLpNorm_mono_ae <| h.mono fun _x hx =>
hx.trans ((le_abs_self _).trans (Real.norm_eq_abs _).symm.le)
theorem eLpNorm_mono_enorm {f : α → ε} {g : α → ε'} (h : ∀ x, ‖f x‖ₑ ≤ ‖g x‖ₑ) :
eLpNorm f p μ ≤ eLpNorm g p μ :=
eLpNorm_mono_enorm_ae (Eventually.of_forall h)
theorem eLpNorm_mono_nnnorm {f : α → F} {g : α → G} (h : ∀ x, ‖f x‖₊ ≤ ‖g x‖₊) :
eLpNorm f p μ ≤ eLpNorm g p μ :=
eLpNorm_mono_nnnorm_ae (Eventually.of_forall h)
theorem eLpNorm_mono {f : α → F} {g : α → G} (h : ∀ x, ‖f x‖ ≤ ‖g x‖) :
eLpNorm f p μ ≤ eLpNorm g p μ :=
eLpNorm_mono_ae (Eventually.of_forall h)
theorem eLpNorm_mono_real {f : α → F} {g : α → ℝ} (h : ∀ x, ‖f x‖ ≤ g x) :
eLpNorm f p μ ≤ eLpNorm g p μ :=
eLpNorm_mono_ae_real (Eventually.of_forall h)
theorem eLpNormEssSup_le_of_ae_enorm_bound {f : α → ε} {C : ℝ≥0∞} (hfC : ∀ᵐ x ∂μ, ‖f x‖ₑ ≤ C) :
eLpNormEssSup f μ ≤ C :=
essSup_le_of_ae_le C hfC
theorem eLpNormEssSup_le_of_ae_nnnorm_bound {f : α → F} {C : ℝ≥0} (hfC : ∀ᵐ x ∂μ, ‖f x‖₊ ≤ C) :
eLpNormEssSup f μ ≤ C :=
essSup_le_of_ae_le (C : ℝ≥0∞) <| hfC.mono fun _x hx => ENNReal.coe_le_coe.mpr hx
theorem eLpNormEssSup_le_of_ae_bound {f : α → F} {C : ℝ} (hfC : ∀ᵐ x ∂μ, ‖f x‖ ≤ C) :
eLpNormEssSup f μ ≤ ENNReal.ofReal C :=
eLpNormEssSup_le_of_ae_nnnorm_bound <| hfC.mono fun _x hx => hx.trans C.le_coe_toNNReal
theorem eLpNormEssSup_lt_top_of_ae_enorm_bound {f : α → ε} {C : ℝ≥0} (hfC : ∀ᵐ x ∂μ, ‖f x‖ₑ ≤ C) :
eLpNormEssSup f μ < ∞ :=
(eLpNormEssSup_le_of_ae_enorm_bound hfC).trans_lt ENNReal.coe_lt_top
theorem eLpNormEssSup_lt_top_of_ae_nnnorm_bound {f : α → F} {C : ℝ≥0} (hfC : ∀ᵐ x ∂μ, ‖f x‖₊ ≤ C) :
eLpNormEssSup f μ < ∞ :=
(eLpNormEssSup_le_of_ae_nnnorm_bound hfC).trans_lt ENNReal.coe_lt_top
theorem eLpNormEssSup_lt_top_of_ae_bound {f : α → F} {C : ℝ} (hfC : ∀ᵐ x ∂μ, ‖f x‖ ≤ C) :
eLpNormEssSup f μ < ∞ :=
(eLpNormEssSup_le_of_ae_bound hfC).trans_lt ENNReal.ofReal_lt_top
theorem eLpNorm_le_of_ae_enorm_bound {ε} [TopologicalSpace ε] [ENormedAddMonoid ε]
{f : α → ε} {C : ℝ≥0∞} (hfC : ∀ᵐ x ∂μ, ‖f x‖ₑ ≤ C) :
eLpNorm f p μ ≤ C • μ Set.univ ^ p.toReal⁻¹ := by
rcases eq_zero_or_neZero μ with rfl | hμ
· simp
by_cases hp : p = 0
· simp [hp]
have : ∀ᵐ x ∂μ, ‖f x‖ₑ ≤ ‖C‖ₑ := hfC.mono fun x hx ↦ hx.trans (Preorder.le_refl C)
refine (eLpNorm_mono_enorm_ae this).trans_eq ?_
rw [eLpNorm_const _ hp (NeZero.ne μ), one_div, enorm_eq_self, smul_eq_mul]
theorem eLpNorm_le_of_ae_nnnorm_bound {f : α → F} {C : ℝ≥0} (hfC : ∀ᵐ x ∂μ, ‖f x‖₊ ≤ C) :
eLpNorm f p μ ≤ C • μ Set.univ ^ p.toReal⁻¹ := by
rcases eq_zero_or_neZero μ with rfl | hμ
· simp
by_cases hp : p = 0
· simp [hp]
have : ∀ᵐ x ∂μ, ‖f x‖₊ ≤ ‖(C : ℝ)‖₊ := hfC.mono fun x hx => hx.trans_eq C.nnnorm_eq.symm
refine (eLpNorm_mono_ae this).trans_eq ?_
rw [eLpNorm_const _ hp (NeZero.ne μ), C.enorm_eq, one_div, ENNReal.smul_def, smul_eq_mul]
theorem eLpNorm_le_of_ae_bound {f : α → F} {C : ℝ} (hfC : ∀ᵐ x ∂μ, ‖f x‖ ≤ C) :
eLpNorm f p μ ≤ μ Set.univ ^ p.toReal⁻¹ * ENNReal.ofReal C := by
rw [← mul_comm]
exact eLpNorm_le_of_ae_nnnorm_bound (hfC.mono fun x hx => hx.trans C.le_coe_toNNReal)
theorem eLpNorm_congr_enorm_ae {f : α → ε} {g : α → ε'} (hfg : ∀ᵐ x ∂μ, ‖f x‖ₑ = ‖g x‖ₑ) :
eLpNorm f p μ = eLpNorm g p μ :=
le_antisymm (eLpNorm_mono_enorm_ae <| EventuallyEq.le hfg)
(eLpNorm_mono_enorm_ae <| (EventuallyEq.symm hfg).le)
theorem eLpNorm_congr_nnnorm_ae {f : α → F} {g : α → G} (hfg : ∀ᵐ x ∂μ, ‖f x‖₊ = ‖g x‖₊) :
eLpNorm f p μ = eLpNorm g p μ :=
le_antisymm (eLpNorm_mono_nnnorm_ae <| EventuallyEq.le hfg)
(eLpNorm_mono_nnnorm_ae <| (EventuallyEq.symm hfg).le)
theorem eLpNorm_congr_norm_ae {f : α → F} {g : α → G} (hfg : ∀ᵐ x ∂μ, ‖f x‖ = ‖g x‖) :
eLpNorm f p μ = eLpNorm g p μ :=
eLpNorm_congr_nnnorm_ae <| hfg.mono fun _x hx => NNReal.eq hx
open scoped symmDiff in
theorem eLpNorm_indicator_sub_indicator (s t : Set α) (f : α → E) :
eLpNorm (s.indicator f - t.indicator f) p μ = eLpNorm ((s ∆ t).indicator f) p μ :=
eLpNorm_congr_norm_ae <| ae_of_all _ fun x ↦ by simp [Set.apply_indicator_symmDiff norm_neg]
@[simp]
theorem eLpNorm'_norm {f : α → F} : eLpNorm' (fun a => ‖f a‖) q μ = eLpNorm' f q μ := by
simp [eLpNorm'_eq_lintegral_enorm]
@[simp]
theorem eLpNorm'_enorm {f : α → ε} : eLpNorm' (fun a => ‖f a‖ₑ) q μ = eLpNorm' f q μ := by
simp [eLpNorm'_eq_lintegral_enorm]
@[simp]
theorem eLpNorm_norm (f : α → F) : eLpNorm (fun x => ‖f x‖) p μ = eLpNorm f p μ :=
eLpNorm_congr_norm_ae <| Eventually.of_forall fun _ => norm_norm _
@[simp]
theorem eLpNorm_enorm (f : α → ε) : eLpNorm (fun x ↦ ‖f x‖ₑ) p μ = eLpNorm f p μ :=
eLpNorm_congr_enorm_ae <| Eventually.of_forall fun _ => enorm_enorm _
theorem eLpNorm'_norm_rpow (f : α → F) (p q : ℝ) (hq_pos : 0 < q) :
eLpNorm' (fun x => ‖f x‖ ^ q) p μ = eLpNorm' f (p * q) μ ^ q := by
simp_rw [eLpNorm', ← ENNReal.rpow_mul, ← one_div_mul_one_div, one_div,
mul_assoc, inv_mul_cancel₀ hq_pos.ne.symm, mul_one, ← ofReal_norm_eq_enorm,
Real.norm_eq_abs, abs_eq_self.mpr (Real.rpow_nonneg (norm_nonneg _) _), mul_comm p,
← ENNReal.ofReal_rpow_of_nonneg (norm_nonneg _) hq_pos.le, ENNReal.rpow_mul]
theorem eLpNorm_norm_rpow (f : α → F) (hq_pos : 0 < q) :
eLpNorm (fun x => ‖f x‖ ^ q) p μ = eLpNorm f (p * ENNReal.ofReal q) μ ^ q := by
by_cases h0 : p = 0
· simp [h0, ENNReal.zero_rpow_of_pos hq_pos]
by_cases hp_top : p = ∞
· simp only [hp_top, eLpNorm_exponent_top, ENNReal.top_mul', hq_pos.not_le,
ENNReal.ofReal_eq_zero, if_false, eLpNorm_exponent_top, eLpNormEssSup_eq_essSup_enorm]
have h_rpow : essSup (‖‖f ·‖ ^ q‖ₑ) μ = essSup (‖f ·‖ₑ ^ q) μ := by
congr
ext1 x
conv_rhs => rw [← enorm_norm]
rw [← Real.enorm_rpow_of_nonneg (norm_nonneg _) hq_pos.le]
rw [h_rpow]
have h_rpow_mono := ENNReal.strictMono_rpow_of_pos hq_pos
have h_rpow_surj := (ENNReal.rpow_left_bijective hq_pos.ne.symm).2
let iso := h_rpow_mono.orderIsoOfSurjective _ h_rpow_surj
exact (iso.essSup_apply (fun x => ‖f x‖ₑ) μ).symm
rw [eLpNorm_eq_eLpNorm' h0 hp_top, eLpNorm_eq_eLpNorm' _ _]
swap
· refine mul_ne_zero h0 ?_
rwa [Ne, ENNReal.ofReal_eq_zero, not_le]
swap; · exact ENNReal.mul_ne_top hp_top ENNReal.ofReal_ne_top
rw [ENNReal.toReal_mul, ENNReal.toReal_ofReal hq_pos.le]
exact eLpNorm'_norm_rpow f p.toReal q hq_pos
theorem eLpNorm_congr_ae {f g : α → ε} (hfg : f =ᵐ[μ] g) : eLpNorm f p μ = eLpNorm g p μ :=
eLpNorm_congr_enorm_ae <| hfg.mono fun _x hx => hx ▸ rfl
theorem memLp_congr_ae [TopologicalSpace ε] {f g : α → ε} (hfg : f =ᵐ[μ] g) :
MemLp f p μ ↔ MemLp g p μ := by
simp only [MemLp, eLpNorm_congr_ae hfg, aestronglyMeasurable_congr hfg]
@[deprecated (since := "2025-02-21")]
alias memℒp_congr_ae := memLp_congr_ae
theorem MemLp.ae_eq [TopologicalSpace ε] {f g : α → ε} (hfg : f =ᵐ[μ] g) (hf_Lp : MemLp f p μ) :
MemLp g p μ :=
(memLp_congr_ae hfg).1 hf_Lp
@[deprecated (since := "2025-02-21")]
alias Memℒp.ae_eq := MemLp.ae_eq
theorem MemLp.of_le {f : α → E} {g : α → F} (hg : MemLp g p μ) (hf : AEStronglyMeasurable f μ)
(hfg : ∀ᵐ x ∂μ, ‖f x‖ ≤ ‖g x‖) : MemLp f p μ :=
⟨hf, (eLpNorm_mono_ae hfg).trans_lt hg.eLpNorm_lt_top⟩
@[deprecated (since := "2025-02-21")] alias Memℒp.of_le := MemLp.of_le
alias MemLp.mono := MemLp.of_le
@[deprecated (since := "2025-02-21")] alias Memℒp.mono := MemLp.mono
theorem MemLp.mono' {f : α → E} {g : α → ℝ} (hg : MemLp g p μ) (hf : AEStronglyMeasurable f μ)
(h : ∀ᵐ a ∂μ, ‖f a‖ ≤ g a) : MemLp f p μ :=
hg.mono hf <| h.mono fun _x hx => le_trans hx (le_abs_self _)
@[deprecated (since := "2025-02-21")]
alias Memℒp.mono' := MemLp.mono'
theorem MemLp.congr_norm {f : α → E} {g : α → F} (hf : MemLp f p μ) (hg : AEStronglyMeasurable g μ)
(h : ∀ᵐ a ∂μ, ‖f a‖ = ‖g a‖) : MemLp g p μ :=
hf.mono hg <| EventuallyEq.le <| EventuallyEq.symm h
@[deprecated (since := "2025-02-21")]
alias Memℒp.congr_norm := MemLp.congr_norm
theorem memLp_congr_norm {f : α → E} {g : α → F} (hf : AEStronglyMeasurable f μ)
(hg : AEStronglyMeasurable g μ) (h : ∀ᵐ a ∂μ, ‖f a‖ = ‖g a‖) : MemLp f p μ ↔ MemLp g p μ :=
⟨fun h2f => h2f.congr_norm hg h, fun h2g => h2g.congr_norm hf <| EventuallyEq.symm h⟩
@[deprecated (since := "2025-02-21")]
alias memℒp_congr_norm := memLp_congr_norm
theorem memLp_top_of_bound {f : α → E} (hf : AEStronglyMeasurable f μ) (C : ℝ)
(hfC : ∀ᵐ x ∂μ, ‖f x‖ ≤ C) : MemLp f ∞ μ :=
⟨hf, by
rw [eLpNorm_exponent_top]
exact eLpNormEssSup_lt_top_of_ae_bound hfC⟩
@[deprecated (since := "2025-02-21")]
alias memℒp_top_of_bound := memLp_top_of_bound
theorem MemLp.of_bound [IsFiniteMeasure μ] {f : α → E} (hf : AEStronglyMeasurable f μ) (C : ℝ)
(hfC : ∀ᵐ x ∂μ, ‖f x‖ ≤ C) : MemLp f p μ :=
(memLp_const C).of_le hf (hfC.mono fun _x hx => le_trans hx (le_abs_self _))
@[deprecated (since := "2025-02-21")]
alias Memℒp.of_bound := MemLp.of_bound
theorem memLp_of_bounded [IsFiniteMeasure μ]
{a b : ℝ} {f : α → ℝ} (h : ∀ᵐ x ∂μ, f x ∈ Set.Icc a b)
(hX : AEStronglyMeasurable f μ) (p : ENNReal) : MemLp f p μ :=
have ha : ∀ᵐ x ∂μ, a ≤ f x := h.mono fun ω h => h.1
have hb : ∀ᵐ x ∂μ, f x ≤ b := h.mono fun ω h => h.2
(memLp_const (max |a| |b|)).mono' hX (by filter_upwards [ha, hb] with x using abs_le_max_abs_abs)
@[deprecated (since := "2025-02-21")]
alias memℒp_of_bounded := memLp_of_bounded
@[gcongr, mono]
theorem eLpNorm'_mono_measure (f : α → ε) (hμν : ν ≤ μ) (hq : 0 ≤ q) :
eLpNorm' f q ν ≤ eLpNorm' f q μ := by
simp_rw [eLpNorm']
gcongr
exact lintegral_mono' hμν le_rfl
@[gcongr, mono]
theorem eLpNormEssSup_mono_measure (f : α → ε) (hμν : ν ≪ μ) :
eLpNormEssSup f ν ≤ eLpNormEssSup f μ := by
simp_rw [eLpNormEssSup]
exact essSup_mono_measure hμν
@[gcongr, mono]
theorem eLpNorm_mono_measure (f : α → ε) (hμν : ν ≤ μ) : eLpNorm f p ν ≤ eLpNorm f p μ := by
by_cases hp0 : p = 0
· simp [hp0]
by_cases hp_top : p = ∞
· simp [hp_top, eLpNormEssSup_mono_measure f (Measure.absolutelyContinuous_of_le hμν)]
simp_rw [eLpNorm_eq_eLpNorm' hp0 hp_top]
exact eLpNorm'_mono_measure f hμν ENNReal.toReal_nonneg
theorem MemLp.mono_measure [TopologicalSpace ε] {f : α → ε} (hμν : ν ≤ μ) (hf : MemLp f p μ) :
MemLp f p ν :=
⟨hf.1.mono_measure hμν, (eLpNorm_mono_measure f hμν).trans_lt hf.2⟩
@[deprecated (since := "2025-02-21")]
alias Memℒp.mono_measure := MemLp.mono_measure
section Indicator
variable {ε : Type*} [TopologicalSpace ε] [ENormedAddMonoid ε]
{c : ε} {hf : AEStronglyMeasurable f μ} {s : Set α}
lemma eLpNorm_indicator_eq_eLpNorm_restrict {f : α → ε} {s : Set α} (hs : MeasurableSet s) :
eLpNorm (s.indicator f) p μ = eLpNorm f p (μ.restrict s) := by
by_cases hp_zero : p = 0
· simp only [hp_zero, eLpNorm_exponent_zero]
by_cases hp_top : p = ∞
· simp_rw [hp_top, eLpNorm_exponent_top, eLpNormEssSup_eq_essSup_enorm,
enorm_indicator_eq_indicator_enorm, ENNReal.essSup_indicator_eq_essSup_restrict hs]
simp_rw [eLpNorm_eq_lintegral_rpow_enorm hp_zero hp_top]
suffices (∫⁻ x, (‖s.indicator f x‖ₑ) ^ p.toReal ∂μ) =
∫⁻ x in s, ‖f x‖ₑ ^ p.toReal ∂μ by rw [this]
rw [← lintegral_indicator hs]
congr
simp_rw [enorm_indicator_eq_indicator_enorm]
rw [eq_comm, ← Function.comp_def (fun x : ℝ≥0∞ => x ^ p.toReal), Set.indicator_comp_of_zero,
Function.comp_def]
simp [ENNReal.toReal_pos hp_zero hp_top]
@[deprecated (since := "2025-01-07")]
alias eLpNorm_indicator_eq_restrict := eLpNorm_indicator_eq_eLpNorm_restrict
lemma eLpNormEssSup_indicator_eq_eLpNormEssSup_restrict (hs : MeasurableSet s) :
eLpNormEssSup (s.indicator f) μ = eLpNormEssSup f (μ.restrict s) := by
simp_rw [← eLpNorm_exponent_top, eLpNorm_indicator_eq_eLpNorm_restrict hs]
lemma eLpNorm_restrict_le (f : α → ε') (p : ℝ≥0∞) (μ : Measure α) (s : Set α) :
eLpNorm f p (μ.restrict s) ≤ eLpNorm f p μ :=
eLpNorm_mono_measure f Measure.restrict_le_self
lemma eLpNorm_indicator_le (f : α → ε) :
eLpNorm (s.indicator f) p μ ≤ eLpNorm f p μ := by
refine eLpNorm_mono_ae' <| .of_forall fun x ↦ ?_
rw [enorm_indicator_eq_indicator_enorm]
exact s.indicator_le_self _ x
lemma eLpNormEssSup_indicator_le (s : Set α) (f : α → ε) :
eLpNormEssSup (s.indicator f) μ ≤ eLpNormEssSup f μ := by
refine essSup_mono_ae (Eventually.of_forall fun x => ?_)
simp_rw [enorm_indicator_eq_indicator_enorm]
exact Set.indicator_le_self s _ x
lemma eLpNormEssSup_indicator_const_le (s : Set α) (c : ε) :
eLpNormEssSup (s.indicator fun _ : α => c) μ ≤ ‖c‖ₑ := by
by_cases hμ0 : μ = 0
· rw [hμ0, eLpNormEssSup_measure_zero]
exact zero_le _
· exact (eLpNormEssSup_indicator_le s fun _ => c).trans (eLpNormEssSup_const c hμ0).le
lemma eLpNormEssSup_indicator_const_eq (s : Set α) (c : ε) (hμs : μ s ≠ 0) :
eLpNormEssSup (s.indicator fun _ : α => c) μ = ‖c‖ₑ := by
refine le_antisymm (eLpNormEssSup_indicator_const_le s c) ?_
by_contra! h
have h' := ae_iff.mp (ae_lt_of_essSup_lt h)
push_neg at h'
refine hμs (measure_mono_null (fun x hx_mem => ?_) h')
rw [Set.mem_setOf_eq, Set.indicator_of_mem hx_mem]
lemma eLpNorm_indicator_const₀ (hs : NullMeasurableSet s μ) (hp : p ≠ 0) (hp_top : p ≠ ∞) :
eLpNorm (s.indicator fun _ => c) p μ = ‖c‖ₑ * μ s ^ (1 / p.toReal) :=
have hp_pos : 0 < p.toReal := ENNReal.toReal_pos hp hp_top
calc
eLpNorm (s.indicator fun _ => c) p μ
= (∫⁻ x, (‖(s.indicator fun _ ↦ c) x‖ₑ ^ p.toReal) ∂μ) ^ (1 / p.toReal) :=
eLpNorm_eq_lintegral_rpow_enorm hp hp_top
_ = (∫⁻ x, (s.indicator fun _ ↦ ‖c‖ₑ ^ p.toReal) x ∂μ) ^ (1 / p.toReal) := by
congr 2
refine (Set.comp_indicator_const c (fun x ↦ (‖x‖ₑ) ^ p.toReal) ?_)
simp [hp_pos]
_ = ‖c‖ₑ * μ s ^ (1 / p.toReal) := by
rw [lintegral_indicator_const₀ hs, ENNReal.mul_rpow_of_nonneg, ← ENNReal.rpow_mul,
mul_one_div_cancel hp_pos.ne', ENNReal.rpow_one]
positivity
lemma eLpNorm_indicator_const (hs : MeasurableSet s) (hp : p ≠ 0) (hp_top : p ≠ ∞) :
eLpNorm (s.indicator fun _ => c) p μ = ‖c‖ₑ * μ s ^ (1 / p.toReal) :=
eLpNorm_indicator_const₀ hs.nullMeasurableSet hp hp_top
lemma eLpNorm_indicator_const' (hs : MeasurableSet s) (hμs : μ s ≠ 0) (hp : p ≠ 0) :
eLpNorm (s.indicator fun _ => c) p μ = ‖c‖ₑ * μ s ^ (1 / p.toReal) := by
by_cases hp_top : p = ∞
· simp [hp_top, eLpNormEssSup_indicator_const_eq s c hμs]
· exact eLpNorm_indicator_const hs hp hp_top
variable (c) in
lemma eLpNorm_indicator_const_le (p : ℝ≥0∞) :
eLpNorm (s.indicator fun _ => c) p μ ≤ ‖c‖ₑ * μ s ^ (1 / p.toReal) := by
obtain rfl | hp := eq_or_ne p 0
· simp only [eLpNorm_exponent_zero, zero_le']
obtain rfl | h'p := eq_or_ne p ∞
· simp only [eLpNorm_exponent_top, ENNReal.toReal_top, _root_.div_zero, ENNReal.rpow_zero,
mul_one]
exact eLpNormEssSup_indicator_const_le _ _
let t := toMeasurable μ s
calc
eLpNorm (s.indicator fun _ => c) p μ ≤ eLpNorm (t.indicator fun _ ↦ c) p μ :=
eLpNorm_mono_enorm (enorm_indicator_le_of_subset (subset_toMeasurable _ _) _)
_ = ‖c‖ₑ * μ t ^ (1 / p.toReal) :=
eLpNorm_indicator_const (measurableSet_toMeasurable ..) hp h'p
_ = ‖c‖ₑ * μ s ^ (1 / p.toReal) := by rw [measure_toMeasurable]
lemma MemLp.indicator {f : α → ε} (hs : MeasurableSet s) (hf : MemLp f p μ) :
MemLp (s.indicator f) p μ :=
⟨hf.aestronglyMeasurable.indicator hs, lt_of_le_of_lt (eLpNorm_indicator_le f) hf.eLpNorm_lt_top⟩
@[deprecated (since := "2025-02-21")]
alias Memℒp.indicator := MemLp.indicator
lemma memLp_indicator_iff_restrict {f : α → ε} (hs : MeasurableSet s) :
MemLp (s.indicator f) p μ ↔ MemLp f p (μ.restrict s) := by
simp [MemLp, aestronglyMeasurable_indicator_iff hs, eLpNorm_indicator_eq_eLpNorm_restrict hs]
@[deprecated (since := "2025-02-21")]
alias memℒp_indicator_iff_restrict := memLp_indicator_iff_restrict
lemma memLp_indicator_const (p : ℝ≥0∞) (hs : MeasurableSet s) (c : E) (hμsc : c = 0 ∨ μ s ≠ ∞) :
MemLp (s.indicator fun _ => c) p μ := by
rw [memLp_indicator_iff_restrict hs]
obtain rfl | hμ := hμsc
· exact MemLp.zero
· have := Fact.mk hμ.lt_top
apply memLp_const
@[deprecated (since := "2025-02-21")]
alias memℒp_indicator_const := memLp_indicator_const
lemma eLpNormEssSup_piecewise (f g : α → ε) [DecidablePred (· ∈ s)] (hs : MeasurableSet s) :
eLpNormEssSup (Set.piecewise s f g) μ
= max (eLpNormEssSup f (μ.restrict s)) (eLpNormEssSup g (μ.restrict sᶜ)) := by
simp only [eLpNormEssSup, ← ENNReal.essSup_piecewise hs]
congr with x
by_cases hx : x ∈ s <;> simp [hx]
lemma eLpNorm_top_piecewise (f g : α → ε) [DecidablePred (· ∈ s)] (hs : MeasurableSet s) :
eLpNorm (Set.piecewise s f g) ∞ μ
= max (eLpNorm f ∞ (μ.restrict s)) (eLpNorm g ∞ (μ.restrict sᶜ)) :=
eLpNormEssSup_piecewise f g hs
protected lemma MemLp.piecewise {f : α → ε} [DecidablePred (· ∈ s)] {g} (hs : MeasurableSet s)
(hf : MemLp f p (μ.restrict s)) (hg : MemLp g p (μ.restrict sᶜ)) :
MemLp (s.piecewise f g) p μ := by
by_cases hp_zero : p = 0
· simp only [hp_zero, memLp_zero_iff_aestronglyMeasurable]
exact AEStronglyMeasurable.piecewise hs hf.1 hg.1
refine ⟨AEStronglyMeasurable.piecewise hs hf.1 hg.1, ?_⟩
obtain rfl | hp_top := eq_or_ne p ∞
· rw [eLpNorm_top_piecewise f g hs]
exact max_lt hf.2 hg.2
rw [eLpNorm_lt_top_iff_lintegral_rpow_enorm_lt_top hp_zero hp_top, ← lintegral_add_compl _ hs,
ENNReal.add_lt_top]
constructor
· have h : ∀ᵐ x ∂μ, x ∈ s → ‖Set.piecewise s f g x‖ₑ ^ p.toReal = ‖f x‖ₑ ^ p.toReal := by
filter_upwards with a ha using by simp [ha]
rw [setLIntegral_congr_fun hs h]
exact lintegral_rpow_enorm_lt_top_of_eLpNorm_lt_top hp_zero hp_top hf.2
· have h : ∀ᵐ x ∂μ, x ∈ sᶜ → ‖Set.piecewise s f g x‖ₑ ^ p.toReal = ‖g x‖ₑ ^ p.toReal := by
filter_upwards with a ha
have ha' : a ∉ s := ha
simp [ha']
rw [setLIntegral_congr_fun hs.compl h]
exact lintegral_rpow_enorm_lt_top_of_eLpNorm_lt_top hp_zero hp_top hg.2
@[deprecated (since := "2025-02-21")]
alias Memℒp.piecewise := MemLp.piecewise
end Indicator
section ENormedAddMonoid
variable {ε : Type*} [TopologicalSpace ε] [ENormedAddMonoid ε]
/-- For a function `f` with support in `s`, the Lᵖ norms of `f` with respect to `μ` and
`μ.restrict s` are the same. -/
theorem eLpNorm_restrict_eq_of_support_subset {s : Set α} {f : α → ε} (hsf : f.support ⊆ s) :
eLpNorm f p (μ.restrict s) = eLpNorm f p μ := by
by_cases hp0 : p = 0
· simp [hp0]
by_cases hp_top : p = ∞
· simp only [hp_top, eLpNorm_exponent_top, eLpNormEssSup_eq_essSup_enorm]
exact ENNReal.essSup_restrict_eq_of_support_subset fun x hx ↦ hsf <| enorm_ne_zero.1 hx
· simp_rw [eLpNorm_eq_eLpNorm' hp0 hp_top, eLpNorm'_eq_lintegral_enorm]
congr 1
apply setLIntegral_eq_of_support_subset
have : ¬(p.toReal ≤ 0) := by simpa only [not_le] using ENNReal.toReal_pos hp0 hp_top
simpa [this] using hsf
end ENormedAddMonoid
theorem MemLp.restrict [TopologicalSpace ε] (s : Set α) {f : α → ε} (hf : MemLp f p μ) :
MemLp f p (μ.restrict s) :=
hf.mono_measure Measure.restrict_le_self
@[deprecated (since := "2025-02-21")]
alias Memℒp.restrict := MemLp.restrict
theorem eLpNorm'_smul_measure {p : ℝ} (hp : 0 ≤ p) {f : α → ε} (c : ℝ≥0∞) :
eLpNorm' f p (c • μ) = c ^ (1 / p) * eLpNorm' f p μ := by
simp [eLpNorm', ENNReal.mul_rpow_of_nonneg, hp]
section SMul
variable {R : Type*} [Zero R] [SMulWithZero R ℝ≥0∞] [IsScalarTower R ℝ≥0∞ ℝ≥0∞]
[NoZeroSMulDivisors R ℝ≥0∞] {c : R}
@[simp] lemma eLpNormEssSup_smul_measure (hc : c ≠ 0) (f : α → ε) :
eLpNormEssSup f (c • μ) = eLpNormEssSup f μ := by
simp_rw [eLpNormEssSup]
exact essSup_smul_measure hc _
end SMul
/-- Use `eLpNorm_smul_measure_of_ne_top` instead. -/
private theorem eLpNorm_smul_measure_of_ne_zero_of_ne_top {p : ℝ≥0∞} (hp_ne_zero : p ≠ 0)
(hp_ne_top : p ≠ ∞) {f : α → ε} (c : ℝ≥0∞) :
eLpNorm f p (c • μ) = c ^ (1 / p).toReal • eLpNorm f p μ := by
simp_rw [eLpNorm_eq_eLpNorm' hp_ne_zero hp_ne_top]
rw [eLpNorm'_smul_measure ENNReal.toReal_nonneg]
congr
simp_rw [one_div]
rw [ENNReal.toReal_inv]
/-- See `eLpNorm_smul_measure_of_ne_zero'` for a version with scalar multiplication by `ℝ≥0`. -/
theorem eLpNorm_smul_measure_of_ne_zero {c : ℝ≥0∞} (hc : c ≠ 0) (f : α → ε) (p : ℝ≥0∞)
(μ : Measure α) : eLpNorm f p (c • μ) = c ^ (1 / p).toReal • eLpNorm f p μ := by
by_cases hp0 : p = 0
· simp [hp0]
by_cases hp_top : p = ∞
· simp [hp_top, eLpNormEssSup_smul_measure hc]
exact eLpNorm_smul_measure_of_ne_zero_of_ne_top hp0 hp_top c
/-- See `eLpNorm_smul_measure_of_ne_zero` for a version with scalar multiplication by `ℝ≥0∞`. -/
lemma eLpNorm_smul_measure_of_ne_zero' {c : ℝ≥0} (hc : c ≠ 0) (f : α → ε) (p : ℝ≥0∞)
(μ : Measure α) : eLpNorm f p (c • μ) = c ^ p.toReal⁻¹ • eLpNorm f p μ :=
(eLpNorm_smul_measure_of_ne_zero (ENNReal.coe_ne_zero.2 hc) ..).trans (by simp; norm_cast)
/-- See `eLpNorm_smul_measure_of_ne_top'` for a version with scalar multiplication by `ℝ≥0`. -/
theorem eLpNorm_smul_measure_of_ne_top {p : ℝ≥0∞} (hp_ne_top : p ≠ ∞) (f : α → ε) (c : ℝ≥0∞) :
eLpNorm f p (c • μ) = c ^ (1 / p).toReal • eLpNorm f p μ := by
by_cases hp0 : p = 0
· simp [hp0]
· exact eLpNorm_smul_measure_of_ne_zero_of_ne_top hp0 hp_ne_top c
/-- See `eLpNorm_smul_measure_of_ne_top'` for a version with scalar multiplication by `ℝ≥0∞`. -/
lemma eLpNorm_smul_measure_of_ne_top' (hp : p ≠ ∞) (c : ℝ≥0) (f : α → ε) :
eLpNorm f p (c • μ) = c ^ p.toReal⁻¹ • eLpNorm f p μ := by
have : 0 ≤ p.toReal⁻¹ := by positivity
refine (eLpNorm_smul_measure_of_ne_top hp ..).trans ?_
simp [ENNReal.smul_def, ENNReal.coe_rpow_of_nonneg, this]
theorem eLpNorm_one_smul_measure {f : α → ε} (c : ℝ≥0∞) :
eLpNorm f 1 (c • μ) = c * eLpNorm f 1 μ := by
rw [eLpNorm_smul_measure_of_ne_top] <;> simp
section ENormedAddMonoid
variable {ε : Type*} [TopologicalSpace ε] [ENormedAddMonoid ε]
theorem MemLp.of_measure_le_smul {μ' : Measure α} {c : ℝ≥0∞} (hc : c ≠ ∞)
(hμ'_le : μ' ≤ c • μ) {f : α → ε} (hf : MemLp f p μ) : MemLp f p μ' := by
refine ⟨hf.1.mono_ac (Measure.absolutelyContinuous_of_le_smul hμ'_le), ?_⟩
refine (eLpNorm_mono_measure f hμ'_le).trans_lt ?_
by_cases hc0 : c = 0
· simp [hc0]
rw [eLpNorm_smul_measure_of_ne_zero hc0, smul_eq_mul]
refine ENNReal.mul_lt_top (Ne.lt_top ?_) hf.2
simp [hc, hc0]
@[deprecated (since := "2025-02-21")]
alias Memℒp.of_measure_le_smul := MemLp.of_measure_le_smul
theorem MemLp.smul_measure {f : α → ε} {c : ℝ≥0∞} (hf : MemLp f p μ) (hc : c ≠ ∞) :
MemLp f p (c • μ) :=
hf.of_measure_le_smul hc le_rfl
@[deprecated (since := "2025-02-21")]
alias Memℒp.smul_measure := MemLp.smul_measure
end ENormedAddMonoid
theorem eLpNorm_one_add_measure (f : α → ε) (μ ν : Measure α) :
eLpNorm f 1 (μ + ν) = eLpNorm f 1 μ + eLpNorm f 1 ν := by
simp_rw [eLpNorm_one_eq_lintegral_enorm]
rw [lintegral_add_measure _ μ ν]
|
theorem eLpNorm_le_add_measure_right (f : α → ε) (μ ν : Measure α) {p : ℝ≥0∞} :
eLpNorm f p μ ≤ eLpNorm f p (μ + ν) :=
eLpNorm_mono_measure f <| Measure.le_add_right <| le_refl _
theorem eLpNorm_le_add_measure_left (f : α → ε) (μ ν : Measure α) {p : ℝ≥0∞} :
eLpNorm f p ν ≤ eLpNorm f p (μ + ν) :=
eLpNorm_mono_measure f <| Measure.le_add_left <| le_refl _
| Mathlib/MeasureTheory/Function/LpSeminorm/Basic.lean | 916 | 924 |
/-
Copyright (c) 2020 Rémy Degenne. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Rémy Degenne, Sébastien Gouëzel
-/
import Mathlib.Analysis.NormedSpace.IndicatorFunction
import Mathlib.Data.Fintype.Order
import Mathlib.MeasureTheory.Function.AEEqFun
import Mathlib.MeasureTheory.Function.LpSeminorm.Defs
import Mathlib.MeasureTheory.Function.SpecialFunctions.Basic
import Mathlib.MeasureTheory.Integral.Lebesgue.Countable
import Mathlib.MeasureTheory.Integral.Lebesgue.Sub
/-!
# Basic theorems about ℒp space
-/
noncomputable section
open TopologicalSpace MeasureTheory Filter
open scoped NNReal ENNReal Topology ComplexConjugate
variable {α ε ε' E F G : Type*} {m m0 : MeasurableSpace α} {p : ℝ≥0∞} {q : ℝ} {μ ν : Measure α}
[NormedAddCommGroup E] [NormedAddCommGroup F] [NormedAddCommGroup G] [ENorm ε] [ENorm ε']
namespace MeasureTheory
section Lp
section Top
theorem MemLp.eLpNorm_lt_top [TopologicalSpace ε] {f : α → ε} (hfp : MemLp f p μ) :
eLpNorm f p μ < ∞ :=
hfp.2
@[deprecated (since := "2025-02-21")]
alias Memℒp.eLpNorm_lt_top := MemLp.eLpNorm_lt_top
theorem MemLp.eLpNorm_ne_top [TopologicalSpace ε] {f : α → ε} (hfp : MemLp f p μ) :
eLpNorm f p μ ≠ ∞ :=
ne_of_lt hfp.2
@[deprecated (since := "2025-02-21")]
alias Memℒp.eLpNorm_ne_top := MemLp.eLpNorm_ne_top
theorem lintegral_rpow_enorm_lt_top_of_eLpNorm'_lt_top {f : α → ε} (hq0_lt : 0 < q)
(hfq : eLpNorm' f q μ < ∞) : ∫⁻ a, ‖f a‖ₑ ^ q ∂μ < ∞ := by
rw [lintegral_rpow_enorm_eq_rpow_eLpNorm' hq0_lt]
exact ENNReal.rpow_lt_top_of_nonneg (le_of_lt hq0_lt) (ne_of_lt hfq)
@[deprecated (since := "2025-01-17")]
alias lintegral_rpow_nnnorm_lt_top_of_eLpNorm'_lt_top' :=
lintegral_rpow_enorm_lt_top_of_eLpNorm'_lt_top
theorem lintegral_rpow_enorm_lt_top_of_eLpNorm_lt_top {f : α → ε} (hp_ne_zero : p ≠ 0)
(hp_ne_top : p ≠ ∞) (hfp : eLpNorm f p μ < ∞) : ∫⁻ a, ‖f a‖ₑ ^ p.toReal ∂μ < ∞ := by
apply lintegral_rpow_enorm_lt_top_of_eLpNorm'_lt_top
· exact ENNReal.toReal_pos hp_ne_zero hp_ne_top
· simpa [eLpNorm_eq_eLpNorm' hp_ne_zero hp_ne_top] using hfp
@[deprecated (since := "2025-01-17")]
alias lintegral_rpow_nnnorm_lt_top_of_eLpNorm_lt_top :=
lintegral_rpow_enorm_lt_top_of_eLpNorm_lt_top
theorem eLpNorm_lt_top_iff_lintegral_rpow_enorm_lt_top {f : α → ε} (hp_ne_zero : p ≠ 0)
(hp_ne_top : p ≠ ∞) : eLpNorm f p μ < ∞ ↔ ∫⁻ a, (‖f a‖ₑ) ^ p.toReal ∂μ < ∞ :=
⟨lintegral_rpow_enorm_lt_top_of_eLpNorm_lt_top hp_ne_zero hp_ne_top, by
intro h
have hp' := ENNReal.toReal_pos hp_ne_zero hp_ne_top
have : 0 < 1 / p.toReal := div_pos zero_lt_one hp'
simpa [eLpNorm_eq_lintegral_rpow_enorm hp_ne_zero hp_ne_top] using
ENNReal.rpow_lt_top_of_nonneg (le_of_lt this) (ne_of_lt h)⟩
@[deprecated (since := "2025-02-04")] alias
eLpNorm_lt_top_iff_lintegral_rpow_nnnorm_lt_top := eLpNorm_lt_top_iff_lintegral_rpow_enorm_lt_top
end Top
section Zero
@[simp]
theorem eLpNorm'_exponent_zero {f : α → ε} : eLpNorm' f 0 μ = 1 := by
rw [eLpNorm', div_zero, ENNReal.rpow_zero]
@[simp]
theorem eLpNorm_exponent_zero {f : α → ε} : eLpNorm f 0 μ = 0 := by simp [eLpNorm]
@[simp]
theorem memLp_zero_iff_aestronglyMeasurable [TopologicalSpace ε] {f : α → ε} :
MemLp f 0 μ ↔ AEStronglyMeasurable f μ := by simp [MemLp, eLpNorm_exponent_zero]
@[deprecated (since := "2025-02-21")]
alias memℒp_zero_iff_aestronglyMeasurable := memLp_zero_iff_aestronglyMeasurable
section ENormedAddMonoid
variable {ε : Type*} [TopologicalSpace ε] [ENormedAddMonoid ε]
@[simp]
theorem eLpNorm'_zero (hp0_lt : 0 < q) : eLpNorm' (0 : α → ε) q μ = 0 := by
simp [eLpNorm'_eq_lintegral_enorm, hp0_lt]
@[simp]
theorem eLpNorm'_zero' (hq0_ne : q ≠ 0) (hμ : μ ≠ 0) : eLpNorm' (0 : α → ε) q μ = 0 := by
rcases le_or_lt 0 q with hq0 | hq_neg
· exact eLpNorm'_zero (lt_of_le_of_ne hq0 hq0_ne.symm)
· simp [eLpNorm'_eq_lintegral_enorm, ENNReal.rpow_eq_zero_iff, hμ, hq_neg]
@[simp]
theorem eLpNormEssSup_zero : eLpNormEssSup (0 : α → ε) μ = 0 := by
simp [eLpNormEssSup, ← bot_eq_zero', essSup_const_bot]
@[simp]
theorem eLpNorm_zero : eLpNorm (0 : α → ε) p μ = 0 := by
by_cases h0 : p = 0
· simp [h0]
by_cases h_top : p = ∞
· simp only [h_top, eLpNorm_exponent_top, eLpNormEssSup_zero]
rw [← Ne] at h0
simp [eLpNorm_eq_eLpNorm' h0 h_top, ENNReal.toReal_pos h0 h_top]
@[simp]
theorem eLpNorm_zero' : eLpNorm (fun _ : α => (0 : ε)) p μ = 0 := eLpNorm_zero
@[simp] lemma MemLp.zero : MemLp (0 : α → ε) p μ :=
⟨aestronglyMeasurable_zero, by rw [eLpNorm_zero]; exact ENNReal.coe_lt_top⟩
@[simp] lemma MemLp.zero' : MemLp (fun _ : α => (0 : ε)) p μ := MemLp.zero
@[deprecated (since := "2025-02-21")]
alias Memℒp.zero' := MemLp.zero'
@[deprecated (since := "2025-01-21")] alias zero_memℒp := MemLp.zero
@[deprecated (since := "2025-01-21")] alias zero_mem_ℒp := MemLp.zero'
variable [MeasurableSpace α]
theorem eLpNorm'_measure_zero_of_pos {f : α → ε} (hq_pos : 0 < q) :
eLpNorm' f q (0 : Measure α) = 0 := by simp [eLpNorm', hq_pos]
theorem eLpNorm'_measure_zero_of_exponent_zero {f : α → ε} : eLpNorm' f 0 (0 : Measure α) = 1 := by
simp [eLpNorm']
theorem eLpNorm'_measure_zero_of_neg {f : α → ε} (hq_neg : q < 0) :
eLpNorm' f q (0 : Measure α) = ∞ := by simp [eLpNorm', hq_neg]
end ENormedAddMonoid
@[simp]
theorem eLpNormEssSup_measure_zero {f : α → ε} : eLpNormEssSup f (0 : Measure α) = 0 := by
simp [eLpNormEssSup]
@[simp]
theorem eLpNorm_measure_zero {f : α → ε} : eLpNorm f p (0 : Measure α) = 0 := by
by_cases h0 : p = 0
· simp [h0]
by_cases h_top : p = ∞
· simp [h_top]
rw [← Ne] at h0
simp [eLpNorm_eq_eLpNorm' h0 h_top, eLpNorm', ENNReal.toReal_pos h0 h_top]
section ContinuousENorm
variable {ε : Type*} [TopologicalSpace ε] [ContinuousENorm ε]
@[simp] lemma memLp_measure_zero {f : α → ε} : MemLp f p (0 : Measure α) := by
simp [MemLp]
@[deprecated (since := "2025-02-21")]
alias memℒp_measure_zero := memLp_measure_zero
end ContinuousENorm
end Zero
section Neg
@[simp]
theorem eLpNorm'_neg (f : α → F) (q : ℝ) (μ : Measure α) : eLpNorm' (-f) q μ = eLpNorm' f q μ := by
simp [eLpNorm'_eq_lintegral_enorm]
@[simp]
theorem eLpNorm_neg (f : α → F) (p : ℝ≥0∞) (μ : Measure α) : eLpNorm (-f) p μ = eLpNorm f p μ := by
by_cases h0 : p = 0
· simp [h0]
by_cases h_top : p = ∞
· simp [h_top, eLpNormEssSup_eq_essSup_enorm]
simp [eLpNorm_eq_eLpNorm' h0 h_top]
lemma eLpNorm_sub_comm (f g : α → E) (p : ℝ≥0∞) (μ : Measure α) :
eLpNorm (f - g) p μ = eLpNorm (g - f) p μ := by simp [← eLpNorm_neg (f := f - g)]
theorem MemLp.neg {f : α → E} (hf : MemLp f p μ) : MemLp (-f) p μ :=
⟨AEStronglyMeasurable.neg hf.1, by simp [hf.right]⟩
@[deprecated (since := "2025-02-21")]
alias Memℒp.neg := MemLp.neg
theorem memLp_neg_iff {f : α → E} : MemLp (-f) p μ ↔ MemLp f p μ :=
⟨fun h => neg_neg f ▸ h.neg, MemLp.neg⟩
@[deprecated (since := "2025-02-21")]
alias memℒp_neg_iff := memLp_neg_iff
end Neg
section Const
variable {ε' ε'' : Type*} [TopologicalSpace ε'] [ContinuousENorm ε']
[TopologicalSpace ε''] [ENormedAddMonoid ε'']
theorem eLpNorm'_const (c : ε) (hq_pos : 0 < q) :
eLpNorm' (fun _ : α => c) q μ = ‖c‖ₑ * μ Set.univ ^ (1 / q) := by
rw [eLpNorm'_eq_lintegral_enorm, lintegral_const,
ENNReal.mul_rpow_of_nonneg _ _ (by simp [hq_pos.le] : 0 ≤ 1 / q)]
congr
rw [← ENNReal.rpow_mul]
suffices hq_cancel : q * (1 / q) = 1 by rw [hq_cancel, ENNReal.rpow_one]
rw [one_div, mul_inv_cancel₀ (ne_of_lt hq_pos).symm]
-- Generalising this to ENormedAddMonoid requires a case analysis whether ‖c‖ₑ = ⊤,
-- and will happen in a future PR.
theorem eLpNorm'_const' [IsFiniteMeasure μ] (c : F) (hc_ne_zero : c ≠ 0) (hq_ne_zero : q ≠ 0) :
eLpNorm' (fun _ : α => c) q μ = ‖c‖ₑ * μ Set.univ ^ (1 / q) := by
rw [eLpNorm'_eq_lintegral_enorm, lintegral_const,
ENNReal.mul_rpow_of_ne_top _ (measure_ne_top μ Set.univ)]
· congr
rw [← ENNReal.rpow_mul]
suffices hp_cancel : q * (1 / q) = 1 by rw [hp_cancel, ENNReal.rpow_one]
rw [one_div, mul_inv_cancel₀ hq_ne_zero]
· rw [Ne, ENNReal.rpow_eq_top_iff, not_or, not_and_or, not_and_or]
| simp [hc_ne_zero]
| Mathlib/MeasureTheory/Function/LpSeminorm/Basic.lean | 233 | 234 |
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