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/-
Copyright (c) 2022 Alexander Bentkamp. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Alexander Bentkamp
-/
import Mathlib.Analysis.InnerProductSpace.Spectrum
import Mathlib.Data.Matrix.Rank
import Mathlib.LinearAlgebra.Matrix.Diagonal
import Mathlib.LinearAlgebra.Matrix.Hermitian
import Mathlib.Topology.Algebra.Module.FiniteDimension
/-! # Spectral theory of hermitian matrices
This file proves the spectral theorem for matrices. The proof of the spectral theorem is based on
the spectral theorem for linear maps (`LinearMap.IsSymmetric.eigenvectorBasis_apply_self_apply`).
## Tags
spectral theorem, diagonalization theorem -/
namespace Matrix
variable {𝕜 : Type*} [RCLike 𝕜] {n : Type*} [Fintype n]
variable {A : Matrix n n 𝕜}
namespace IsHermitian
section DecidableEq
variable [DecidableEq n]
variable (hA : A.IsHermitian)
/-- The eigenvalues of a hermitian matrix, indexed by `Fin (Fintype.card n)` where `n` is the index
type of the matrix. -/
noncomputable def eigenvalues₀ : Fin (Fintype.card n) → ℝ :=
(isHermitian_iff_isSymmetric.1 hA).eigenvalues finrank_euclideanSpace
/-- The eigenvalues of a hermitian matrix, reusing the index `n` of the matrix entries. -/
noncomputable def eigenvalues : n → ℝ := fun i =>
hA.eigenvalues₀ <| (Fintype.equivOfCardEq (Fintype.card_fin _)).symm i
/-- A choice of an orthonormal basis of eigenvectors of a hermitian matrix. -/
noncomputable def eigenvectorBasis : OrthonormalBasis n 𝕜 (EuclideanSpace 𝕜 n) :=
((isHermitian_iff_isSymmetric.1 hA).eigenvectorBasis finrank_euclideanSpace).reindex
(Fintype.equivOfCardEq (Fintype.card_fin _))
lemma mulVec_eigenvectorBasis (j : n) :
A *ᵥ ⇑(hA.eigenvectorBasis j) = (hA.eigenvalues j) • ⇑(hA.eigenvectorBasis j) := by
simpa only [eigenvectorBasis, OrthonormalBasis.reindex_apply, toEuclideanLin_apply,
RCLike.real_smul_eq_coe_smul (K := 𝕜)] using
congr(⇑$((isHermitian_iff_isSymmetric.1 hA).apply_eigenvectorBasis
finrank_euclideanSpace ((Fintype.equivOfCardEq (Fintype.card_fin _)).symm j)))
/-- The spectrum of a Hermitian matrix `A` coincides with the spectrum of `toEuclideanLin A`. -/
theorem spectrum_toEuclideanLin : spectrum 𝕜 (toEuclideanLin A) = spectrum 𝕜 A :=
AlgEquiv.spectrum_eq (Matrix.toLinAlgEquiv (PiLp.basisFun 2 𝕜 n)) _
/-- Eigenvalues of a hermitian matrix A are in the ℝ spectrum of A. -/
theorem eigenvalues_mem_spectrum_real (i : n) : hA.eigenvalues i ∈ spectrum ℝ A := by
apply spectrum.of_algebraMap_mem 𝕜
rw [← spectrum_toEuclideanLin]
exact LinearMap.IsSymmetric.hasEigenvalue_eigenvalues _ _ _ |>.mem_spectrum
/-- Unitary matrix whose columns are `Matrix.IsHermitian.eigenvectorBasis`. -/
noncomputable def eigenvectorUnitary {𝕜 : Type*} [RCLike 𝕜] {n : Type*}
[Fintype n] {A : Matrix n n 𝕜} [DecidableEq n] (hA : Matrix.IsHermitian A) :
Matrix.unitaryGroup n 𝕜 :=
⟨(EuclideanSpace.basisFun n 𝕜).toBasis.toMatrix (hA.eigenvectorBasis).toBasis,
(EuclideanSpace.basisFun n 𝕜).toMatrix_orthonormalBasis_mem_unitary (eigenvectorBasis hA)⟩
lemma eigenvectorUnitary_coe {𝕜 : Type*} [RCLike 𝕜] {n : Type*} [Fintype n]
{A : Matrix n n 𝕜} [DecidableEq n] (hA : Matrix.IsHermitian A) :
eigenvectorUnitary hA =
(EuclideanSpace.basisFun n 𝕜).toBasis.toMatrix (hA.eigenvectorBasis).toBasis :=
rfl
@[simp]
theorem eigenvectorUnitary_transpose_apply (j : n) :
(eigenvectorUnitary hA)ᵀ j = ⇑(hA.eigenvectorBasis j) :=
rfl
@[simp]
theorem eigenvectorUnitary_apply (i j : n) :
eigenvectorUnitary hA i j = ⇑(hA.eigenvectorBasis j) i :=
rfl
theorem eigenvectorUnitary_mulVec (j : n) :
eigenvectorUnitary hA *ᵥ Pi.single j 1 = ⇑(hA.eigenvectorBasis j) := by
simp_rw [mulVec_single_one, eigenvectorUnitary_transpose_apply]
theorem star_eigenvectorUnitary_mulVec (j : n) :
(star (eigenvectorUnitary hA : Matrix n n 𝕜)) *ᵥ ⇑(hA.eigenvectorBasis j) = Pi.single j 1 := by
rw [← eigenvectorUnitary_mulVec, mulVec_mulVec, unitary.coe_star_mul_self, one_mulVec]
/-- Unitary diagonalization of a Hermitian matrix. -/
theorem star_mul_self_mul_eq_diagonal :
(star (eigenvectorUnitary hA : Matrix n n 𝕜)) * A * (eigenvectorUnitary hA : Matrix n n 𝕜)
= diagonal (RCLike.ofReal ∘ hA.eigenvalues) := by
| apply Matrix.toEuclideanLin.injective
apply Basis.ext (EuclideanSpace.basisFun n 𝕜).toBasis
intro i
| Mathlib/LinearAlgebra/Matrix/Spectrum.lean | 99 | 101 |
/-
Copyright (c) 2022 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov
-/
import Mathlib.Order.Filter.Lift
import Mathlib.Order.Interval.Set.Monotone
import Mathlib.Topology.Separation.Basic
/-!
# Topology on the set of filters on a type
This file introduces a topology on `Filter α`. It is generated by the sets
`Set.Iic (𝓟 s) = {l : Filter α | s ∈ l}`, `s : Set α`. A set `s : Set (Filter α)` is open if and
only if it is a union of a family of these basic open sets, see `Filter.isOpen_iff`.
This topology has the following important properties.
* If `X` is a topological space, then the map `𝓝 : X → Filter X` is a topology inducing map.
* In particular, it is a continuous map, so `𝓝 ∘ f` tends to `𝓝 (𝓝 a)` whenever `f` tends to `𝓝 a`.
* If `X` is an ordered topological space with order topology and no max element, then `𝓝 ∘ f` tends
to `𝓝 Filter.atTop` whenever `f` tends to `Filter.atTop`.
* It turns `Filter X` into a T₀ space and the order on `Filter X` is the dual of the
`specializationOrder (Filter X)`.
## Tags
filter, topological space
-/
open Set Filter TopologicalSpace
open Filter Topology
variable {ι : Sort*} {α β X Y : Type*}
namespace Filter
/-- The topology on `Filter α` is generated by the sets `Set.Iic (𝓟 s) = {l : Filter α | s ∈ l}`,
`s : Set α`. A set `s : Set (Filter α)` is open if and only if it is a union of a family of these
basic open sets, see `Filter.isOpen_iff`. -/
instance : TopologicalSpace (Filter α) :=
generateFrom <| range <| Iic ∘ 𝓟
theorem isOpen_Iic_principal {s : Set α} : IsOpen (Iic (𝓟 s)) :=
GenerateOpen.basic _ (mem_range_self _)
theorem isOpen_setOf_mem {s : Set α} : IsOpen { l : Filter α | s ∈ l } := by
simpa only [Iic_principal] using isOpen_Iic_principal
theorem isTopologicalBasis_Iic_principal :
IsTopologicalBasis (range (Iic ∘ 𝓟 : Set α → Set (Filter α))) :=
{ exists_subset_inter := by
rintro _ ⟨s, rfl⟩ _ ⟨t, rfl⟩ l hl
exact ⟨Iic (𝓟 s) ∩ Iic (𝓟 t), ⟨s ∩ t, by simp⟩, hl, Subset.rfl⟩
sUnion_eq := sUnion_eq_univ_iff.2 fun _ => ⟨Iic ⊤, ⟨univ, congr_arg Iic principal_univ⟩,
mem_Iic.2 le_top⟩
eq_generateFrom := rfl }
theorem isOpen_iff {s : Set (Filter α)} : IsOpen s ↔ ∃ T : Set (Set α), s = ⋃ t ∈ T, Iic (𝓟 t) :=
isTopologicalBasis_Iic_principal.open_iff_eq_sUnion.trans <| by
simp only [exists_subset_range_and_iff, sUnion_image, (· ∘ ·)]
theorem nhds_eq (l : Filter α) : 𝓝 l = l.lift' (Iic ∘ 𝓟) :=
nhds_generateFrom.trans <| by
simp only [mem_setOf_eq, @and_comm (l ∈ _), iInf_and, iInf_range, Filter.lift', Filter.lift,
(· ∘ ·), mem_Iic, le_principal_iff]
theorem nhds_eq' (l : Filter α) : 𝓝 l = l.lift' fun s => { l' | s ∈ l' } := by
simpa only [Function.comp_def, Iic_principal] using nhds_eq l
protected theorem tendsto_nhds {la : Filter α} {lb : Filter β} {f : α → Filter β} :
Tendsto f la (𝓝 lb) ↔ ∀ s ∈ lb, ∀ᶠ a in la, s ∈ f a := by
simp only [nhds_eq', tendsto_lift', mem_setOf_eq]
protected theorem HasBasis.nhds {l : Filter α} {p : ι → Prop} {s : ι → Set α} (h : HasBasis l p s) :
HasBasis (𝓝 l) p fun i => Iic (𝓟 (s i)) := by
rw [nhds_eq]
exact h.lift' monotone_principal.Iic
protected theorem tendsto_pure_self (l : Filter X) :
Tendsto (pure : X → Filter X) l (𝓝 l) := by
rw [Filter.tendsto_nhds]
exact fun s hs ↦ Eventually.mono hs fun x ↦ id
/-- Neighborhoods of a countably generated filter is a countably generated filter. -/
instance {l : Filter α} [IsCountablyGenerated l] : IsCountablyGenerated (𝓝 l) :=
let ⟨_b, hb⟩ := l.exists_antitone_basis
HasCountableBasis.isCountablyGenerated <| ⟨hb.nhds, Set.to_countable _⟩
theorem HasBasis.nhds' {l : Filter α} {p : ι → Prop} {s : ι → Set α} (h : HasBasis l p s) :
HasBasis (𝓝 l) p fun i => { l' | s i ∈ l' } := by simpa only [Iic_principal] using h.nhds
protected theorem mem_nhds_iff {l : Filter α} {S : Set (Filter α)} :
S ∈ 𝓝 l ↔ ∃ t ∈ l, Iic (𝓟 t) ⊆ S :=
l.basis_sets.nhds.mem_iff
theorem mem_nhds_iff' {l : Filter α} {S : Set (Filter α)} :
S ∈ 𝓝 l ↔ ∃ t ∈ l, ∀ ⦃l' : Filter α⦄, t ∈ l' → l' ∈ S :=
l.basis_sets.nhds'.mem_iff
|
@[simp]
| Mathlib/Topology/Filter.lean | 105 | 106 |
/-
Copyright (c) 2021 Andrew Yang. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Andrew Yang, Yury Kudryashov
-/
import Mathlib.Order.UpperLower.Closure
import Mathlib.Order.UpperLower.Fibration
import Mathlib.Tactic.TFAE
import Mathlib.Topology.ContinuousOn
import Mathlib.Topology.Maps.OpenQuotient
/-!
# Inseparable points in a topological space
In this file we prove basic properties of the following notions defined elsewhere.
* `Specializes` (notation: `x ⤳ y`) : a relation saying that `𝓝 x ≤ 𝓝 y`;
* `Inseparable`: a relation saying that two points in a topological space have the same
neighbourhoods; equivalently, they can't be separated by an open set;
* `InseparableSetoid X`: same relation, as a `Setoid`;
* `SeparationQuotient X`: the quotient of `X` by its `InseparableSetoid`.
We also prove various basic properties of the relation `Inseparable`.
## Notations
- `x ⤳ y`: notation for `Specializes x y`;
- `x ~ᵢ y` is used as a local notation for `Inseparable x y`;
- `𝓝 x` is the neighbourhoods filter `nhds x` of a point `x`, defined elsewhere.
## Tags
topological space, separation setoid
-/
open Set Filter Function Topology List
variable {X Y Z α ι : Type*} {π : ι → Type*} [TopologicalSpace X] [TopologicalSpace Y]
[TopologicalSpace Z] [∀ i, TopologicalSpace (π i)] {x y z : X} {s : Set X} {f g : X → Y}
/-!
### `Specializes` relation
-/
/-- A collection of equivalent definitions of `x ⤳ y`. The public API is given by `iff` lemmas
below. -/
theorem specializes_TFAE (x y : X) :
TFAE [x ⤳ y,
pure x ≤ 𝓝 y,
∀ s : Set X , IsOpen s → y ∈ s → x ∈ s,
∀ s : Set X , IsClosed s → x ∈ s → y ∈ s,
y ∈ closure ({ x } : Set X),
closure ({ y } : Set X) ⊆ closure { x },
ClusterPt y (pure x)] := by
tfae_have 1 → 2 := (pure_le_nhds _).trans
tfae_have 2 → 3 := fun h s hso hy => h (hso.mem_nhds hy)
tfae_have 3 → 4 := fun h s hsc hx => of_not_not fun hy => h sᶜ hsc.isOpen_compl hy hx
tfae_have 4 → 5 := fun h => h _ isClosed_closure (subset_closure <| mem_singleton _)
tfae_have 6 ↔ 5 := isClosed_closure.closure_subset_iff.trans singleton_subset_iff
tfae_have 5 ↔ 7 := by
rw [mem_closure_iff_clusterPt, principal_singleton]
tfae_have 5 → 1 := by
refine fun h => (nhds_basis_opens _).ge_iff.2 ?_
rintro s ⟨hy, ho⟩
rcases mem_closure_iff.1 h s ho hy with ⟨z, hxs, rfl : z = x⟩
exact ho.mem_nhds hxs
tfae_finish
theorem specializes_iff_nhds : x ⤳ y ↔ 𝓝 x ≤ 𝓝 y :=
Iff.rfl
theorem Specializes.not_disjoint (h : x ⤳ y) : ¬Disjoint (𝓝 x) (𝓝 y) := fun hd ↦
absurd (hd.mono_right h) <| by simp [NeBot.ne']
theorem specializes_iff_pure : x ⤳ y ↔ pure x ≤ 𝓝 y :=
(specializes_TFAE x y).out 0 1
alias ⟨Specializes.nhds_le_nhds, _⟩ := specializes_iff_nhds
alias ⟨Specializes.pure_le_nhds, _⟩ := specializes_iff_pure
theorem ker_nhds_eq_specializes : (𝓝 x).ker = {y | y ⤳ x} := by
ext; simp [specializes_iff_pure, le_def]
theorem specializes_iff_forall_open : x ⤳ y ↔ ∀ s : Set X, IsOpen s → y ∈ s → x ∈ s :=
(specializes_TFAE x y).out 0 2
theorem Specializes.mem_open (h : x ⤳ y) (hs : IsOpen s) (hy : y ∈ s) : x ∈ s :=
specializes_iff_forall_open.1 h s hs hy
theorem IsOpen.not_specializes (hs : IsOpen s) (hx : x ∉ s) (hy : y ∈ s) : ¬x ⤳ y := fun h =>
hx <| h.mem_open hs hy
theorem specializes_iff_forall_closed : x ⤳ y ↔ ∀ s : Set X, IsClosed s → x ∈ s → y ∈ s :=
(specializes_TFAE x y).out 0 3
theorem Specializes.mem_closed (h : x ⤳ y) (hs : IsClosed s) (hx : x ∈ s) : y ∈ s :=
specializes_iff_forall_closed.1 h s hs hx
theorem IsClosed.not_specializes (hs : IsClosed s) (hx : x ∈ s) (hy : y ∉ s) : ¬x ⤳ y := fun h =>
hy <| h.mem_closed hs hx
theorem specializes_iff_mem_closure : x ⤳ y ↔ y ∈ closure ({x} : Set X) :=
(specializes_TFAE x y).out 0 4
alias ⟨Specializes.mem_closure, _⟩ := specializes_iff_mem_closure
theorem specializes_iff_closure_subset : x ⤳ y ↔ closure ({y} : Set X) ⊆ closure {x} :=
(specializes_TFAE x y).out 0 5
alias ⟨Specializes.closure_subset, _⟩ := specializes_iff_closure_subset
theorem specializes_iff_clusterPt : x ⤳ y ↔ ClusterPt y (pure x) :=
(specializes_TFAE x y).out 0 6
theorem Filter.HasBasis.specializes_iff {ι} {p : ι → Prop} {s : ι → Set X}
(h : (𝓝 y).HasBasis p s) : x ⤳ y ↔ ∀ i, p i → x ∈ s i :=
specializes_iff_pure.trans h.ge_iff
theorem specializes_rfl : x ⤳ x := le_rfl
@[refl]
theorem specializes_refl (x : X) : x ⤳ x :=
specializes_rfl
@[trans]
theorem Specializes.trans : x ⤳ y → y ⤳ z → x ⤳ z :=
le_trans
theorem specializes_of_eq (e : x = y) : x ⤳ y :=
e ▸ specializes_refl x
alias Specializes.of_eq := specializes_of_eq
theorem specializes_of_nhdsWithin (h₁ : 𝓝[s] x ≤ 𝓝[s] y) (h₂ : x ∈ s) : x ⤳ y :=
specializes_iff_pure.2 <|
calc
pure x ≤ 𝓝[s] x := le_inf (pure_le_nhds _) (le_principal_iff.2 h₂)
_ ≤ 𝓝[s] y := h₁
_ ≤ 𝓝 y := inf_le_left
theorem Specializes.map_of_continuousAt (h : x ⤳ y) (hy : ContinuousAt f y) : f x ⤳ f y :=
specializes_iff_pure.2 fun _s hs =>
mem_pure.2 <| mem_preimage.1 <| mem_of_mem_nhds <| hy.mono_left h hs
theorem Specializes.map (h : x ⤳ y) (hf : Continuous f) : f x ⤳ f y :=
h.map_of_continuousAt hf.continuousAt
theorem Topology.IsInducing.specializes_iff (hf : IsInducing f) : f x ⤳ f y ↔ x ⤳ y := by
simp only [specializes_iff_mem_closure, hf.closure_eq_preimage_closure_image, image_singleton,
mem_preimage]
@[deprecated (since := "2024-10-28")] alias Inducing.specializes_iff := IsInducing.specializes_iff
theorem subtype_specializes_iff {p : X → Prop} (x y : Subtype p) : x ⤳ y ↔ (x : X) ⤳ y :=
IsInducing.subtypeVal.specializes_iff.symm
@[simp]
theorem specializes_prod {x₁ x₂ : X} {y₁ y₂ : Y} : (x₁, y₁) ⤳ (x₂, y₂) ↔ x₁ ⤳ x₂ ∧ y₁ ⤳ y₂ := by
simp only [Specializes, nhds_prod_eq, prod_le_prod]
theorem Specializes.prod {x₁ x₂ : X} {y₁ y₂ : Y} (hx : x₁ ⤳ x₂) (hy : y₁ ⤳ y₂) :
(x₁, y₁) ⤳ (x₂, y₂) :=
specializes_prod.2 ⟨hx, hy⟩
theorem Specializes.fst {a b : X × Y} (h : a ⤳ b) : a.1 ⤳ b.1 := (specializes_prod.1 h).1
theorem Specializes.snd {a b : X × Y} (h : a ⤳ b) : a.2 ⤳ b.2 := (specializes_prod.1 h).2
@[simp]
theorem specializes_pi {f g : ∀ i, π i} : f ⤳ g ↔ ∀ i, f i ⤳ g i := by
simp only [Specializes, nhds_pi, pi_le_pi]
theorem not_specializes_iff_exists_open : ¬x ⤳ y ↔ ∃ S : Set X, IsOpen S ∧ y ∈ S ∧ x ∉ S := by
| rw [specializes_iff_forall_open]
push_neg
rfl
| Mathlib/Topology/Inseparable.lean | 178 | 180 |
/-
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.Order.Interval.Set.OrderEmbedding
import Mathlib.Order.Antichain
import Mathlib.Order.SetNotation
/-!
# Order-connected sets
We say that a set `s : Set α` is `OrdConnected` if for all `x y ∈ s` it includes the
interval `[[x, y]]`. If `α` is a `DenselyOrdered` `ConditionallyCompleteLinearOrder` with
the `OrderTopology`, then this condition is equivalent to `IsPreconnected s`. If `α` is a
`LinearOrderedField`, then this condition is also equivalent to `Convex α s`.
In this file we prove that intersection of a family of `OrdConnected` sets is `OrdConnected` and
that all standard intervals are `OrdConnected`.
-/
open scoped Interval
open Set
open OrderDual (toDual ofDual)
namespace Set
section Preorder
variable {α β : Type*} [Preorder α] [Preorder β] {s : Set α}
theorem OrdConnected.out (h : OrdConnected s) : ∀ ⦃x⦄ (_ : x ∈ s) ⦃y⦄ (_ : y ∈ s), Icc x y ⊆ s :=
h.1
theorem ordConnected_def : OrdConnected s ↔ ∀ ⦃x⦄ (_ : x ∈ s) ⦃y⦄ (_ : y ∈ s), Icc x y ⊆ s :=
⟨fun h => h.1, fun h => ⟨h⟩⟩
/-- It suffices to prove `[[x, y]] ⊆ s` for `x y ∈ s`, `x ≤ y`. -/
theorem ordConnected_iff : OrdConnected s ↔ ∀ x ∈ s, ∀ y ∈ s, x ≤ y → Icc x y ⊆ s :=
ordConnected_def.trans
⟨fun hs _ hx _ hy _ => hs hx hy, fun H x hx y hy _ hz => H x hx y hy (le_trans hz.1 hz.2) hz⟩
theorem ordConnected_of_Ioo {α : Type*} [PartialOrder α] {s : Set α}
(hs : ∀ x ∈ s, ∀ y ∈ s, x < y → Ioo x y ⊆ s) : OrdConnected s := by
rw [ordConnected_iff]
intro x hx y hy hxy
rcases eq_or_lt_of_le hxy with (rfl | hxy'); · simpa
rw [← Ioc_insert_left hxy, ← Ioo_insert_right hxy']
exact insert_subset_iff.2 ⟨hx, insert_subset_iff.2 ⟨hy, hs x hx y hy hxy'⟩⟩
theorem OrdConnected.preimage_mono {f : β → α} (hs : OrdConnected s) (hf : Monotone f) :
OrdConnected (f ⁻¹' s) :=
⟨fun _ hx _ hy _ hz => hs.out hx hy ⟨hf hz.1, hf hz.2⟩⟩
theorem OrdConnected.preimage_anti {f : β → α} (hs : OrdConnected s) (hf : Antitone f) :
OrdConnected (f ⁻¹' s) :=
⟨fun _ hx _ hy _ hz => hs.out hy hx ⟨hf hz.2, hf hz.1⟩⟩
protected theorem Icc_subset (s : Set α) [hs : OrdConnected s] {x y} (hx : x ∈ s) (hy : y ∈ s) :
Icc x y ⊆ s :=
hs.out hx hy
end Preorder
end Set
namespace OrderEmbedding
variable {α β : Type*} [Preorder α] [Preorder β]
theorem image_Icc (e : α ↪o β) (he : OrdConnected (range e)) (x y : α) :
e '' Icc x y = Icc (e x) (e y) := by
rw [← e.preimage_Icc, image_preimage_eq_inter_range, inter_eq_left.2 (he.out ⟨_, rfl⟩ ⟨_, rfl⟩)]
theorem image_Ico (e : α ↪o β) (he : OrdConnected (range e)) (x y : α) :
e '' Ico x y = Ico (e x) (e y) := by
rw [← e.preimage_Ico, image_preimage_eq_inter_range,
inter_eq_left.2 <| Ico_subset_Icc_self.trans <| he.out ⟨_, rfl⟩ ⟨_, rfl⟩]
theorem image_Ioc (e : α ↪o β) (he : OrdConnected (range e)) (x y : α) :
e '' Ioc x y = Ioc (e x) (e y) := by
rw [← e.preimage_Ioc, image_preimage_eq_inter_range,
inter_eq_left.2 <| Ioc_subset_Icc_self.trans <| he.out ⟨_, rfl⟩ ⟨_, rfl⟩]
theorem image_Ioo (e : α ↪o β) (he : OrdConnected (range e)) (x y : α) :
e '' Ioo x y = Ioo (e x) (e y) := by
rw [← e.preimage_Ioo, image_preimage_eq_inter_range,
inter_eq_left.2 <| Ioo_subset_Icc_self.trans <| he.out ⟨_, rfl⟩ ⟨_, rfl⟩]
end OrderEmbedding
namespace Set
section Preorder
variable {α β : Type*} [Preorder α] [Preorder β]
@[simp]
lemma image_subtype_val_Icc {s : Set α} [OrdConnected s] (x y : s) :
Subtype.val '' Icc x y = Icc x.1 y :=
(OrderEmbedding.subtype (· ∈ s)).image_Icc (by simpa) x y
@[simp]
lemma image_subtype_val_Ico {s : Set α} [OrdConnected s] (x y : s) :
Subtype.val '' Ico x y = Ico x.1 y :=
(OrderEmbedding.subtype (· ∈ s)).image_Ico (by simpa) x y
@[simp]
lemma image_subtype_val_Ioc {s : Set α} [OrdConnected s] (x y : s) :
Subtype.val '' Ioc x y = Ioc x.1 y :=
(OrderEmbedding.subtype (· ∈ s)).image_Ioc (by simpa) x y
@[simp]
lemma image_subtype_val_Ioo {s : Set α} [OrdConnected s] (x y : s) :
Subtype.val '' Ioo x y = Ioo x.1 y :=
(OrderEmbedding.subtype (· ∈ s)).image_Ioo (by simpa) x y
theorem OrdConnected.inter {s t : Set α} (hs : OrdConnected s) (ht : OrdConnected t) :
OrdConnected (s ∩ t) :=
⟨fun _ hx _ hy => subset_inter (hs.out hx.1 hy.1) (ht.out hx.2 hy.2)⟩
instance OrdConnected.inter' {s t : Set α} [OrdConnected s] [OrdConnected t] :
OrdConnected (s ∩ t) :=
OrdConnected.inter ‹_› ‹_›
theorem OrdConnected.dual {s : Set α} (hs : OrdConnected s) :
OrdConnected (OrderDual.ofDual ⁻¹' s) :=
⟨fun _ hx _ hy _ hz => hs.out hy hx ⟨hz.2, hz.1⟩⟩
theorem ordConnected_dual {s : Set α} : OrdConnected (OrderDual.ofDual ⁻¹' s) ↔ OrdConnected s :=
⟨fun h => by simpa only [ordConnected_def] using h.dual, fun h => h.dual⟩
theorem ordConnected_sInter {S : Set (Set α)} (hS : ∀ s ∈ S, OrdConnected s) :
OrdConnected (⋂₀ S) :=
⟨fun _x hx _y hy _z hz s hs => (hS s hs).out (hx s hs) (hy s hs) hz⟩
theorem ordConnected_iInter {ι : Sort*} {s : ι → Set α} (hs : ∀ i, OrdConnected (s i)) :
OrdConnected (⋂ i, s i) :=
ordConnected_sInter <| forall_mem_range.2 hs
instance ordConnected_iInter' {ι : Sort*} {s : ι → Set α} [∀ i, OrdConnected (s i)] :
OrdConnected (⋂ i, s i) :=
ordConnected_iInter ‹_›
theorem ordConnected_biInter {ι : Sort*} {p : ι → Prop} {s : ∀ i, p i → Set α}
(hs : ∀ i hi, OrdConnected (s i hi)) : OrdConnected (⋂ (i) (hi), s i hi) :=
ordConnected_iInter fun i => ordConnected_iInter <| hs i
theorem ordConnected_pi {ι : Type*} {α : ι → Type*} [∀ i, Preorder (α i)] {s : Set ι}
{t : ∀ i, Set (α i)} (h : ∀ i ∈ s, OrdConnected (t i)) : OrdConnected (s.pi t) :=
⟨fun _ hx _ hy _ hz i hi => (h i hi).out (hx i hi) (hy i hi) ⟨hz.1 i, hz.2 i⟩⟩
instance ordConnected_pi' {ι : Type*} {α : ι → Type*} [∀ i, Preorder (α i)] {s : Set ι}
{t : ∀ i, Set (α i)} [h : ∀ i, OrdConnected (t i)] : OrdConnected (s.pi t) :=
ordConnected_pi fun i _ => h i
@[instance]
theorem ordConnected_Ici {a : α} : OrdConnected (Ici a) :=
⟨fun _ hx _ _ _ hz => le_trans hx hz.1⟩
@[instance]
theorem ordConnected_Iic {a : α} : OrdConnected (Iic a) :=
⟨fun _ _ _ hy _ hz => le_trans hz.2 hy⟩
@[instance]
theorem ordConnected_Ioi {a : α} : OrdConnected (Ioi a) :=
⟨fun _ hx _ _ _ hz => lt_of_lt_of_le hx hz.1⟩
@[instance]
theorem ordConnected_Iio {a : α} : OrdConnected (Iio a) :=
⟨fun _ _ _ hy _ hz => lt_of_le_of_lt hz.2 hy⟩
@[instance]
theorem ordConnected_Icc {a b : α} : OrdConnected (Icc a b) :=
ordConnected_Ici.inter ordConnected_Iic
@[instance]
theorem ordConnected_Ico {a b : α} : OrdConnected (Ico a b) :=
ordConnected_Ici.inter ordConnected_Iio
@[instance]
theorem ordConnected_Ioc {a b : α} : OrdConnected (Ioc a b) :=
ordConnected_Ioi.inter ordConnected_Iic
@[instance]
theorem ordConnected_Ioo {a b : α} : OrdConnected (Ioo a b) :=
ordConnected_Ioi.inter ordConnected_Iio
@[instance]
theorem ordConnected_singleton {α : Type*} [PartialOrder α] {a : α} :
OrdConnected ({a} : Set α) := by
rw [← Icc_self]
exact ordConnected_Icc
@[instance]
theorem ordConnected_empty : OrdConnected (∅ : Set α) :=
⟨fun _ => False.elim⟩
@[instance]
theorem ordConnected_univ : OrdConnected (univ : Set α) :=
⟨fun _ _ _ _ => subset_univ _⟩
/-- In a dense order `α`, the subtype from an `OrdConnected` set is also densely ordered. -/
instance instDenselyOrdered [DenselyOrdered α] {s : Set α} [hs : OrdConnected s] :
DenselyOrdered s :=
⟨fun a b (h : (a : α) < b) =>
let ⟨x, H⟩ := exists_between h
⟨⟨x, (hs.out a.2 b.2) (Ioo_subset_Icc_self H)⟩, H⟩⟩
@[instance]
theorem ordConnected_preimage {F : Type*} [FunLike F α β] [OrderHomClass F α β] (f : F)
{s : Set β} [hs : OrdConnected s] : OrdConnected (f ⁻¹' s) :=
⟨fun _ hx _ hy _ hz => hs.out hx hy ⟨OrderHomClass.mono _ hz.1, OrderHomClass.mono _ hz.2⟩⟩
@[instance]
theorem ordConnected_image {E : Type*} [EquivLike E α β] [OrderIsoClass E α β] (e : E) {s : Set α}
[hs : OrdConnected s] : OrdConnected (e '' s) := by
erw [(e : α ≃o β).image_eq_preimage]
apply ordConnected_preimage (e : α ≃o β).symm
@[instance]
theorem ordConnected_range {E : Type*} [EquivLike E α β] [OrderIsoClass E α β] (e : E) :
OrdConnected (range e) := by
simp_rw [← image_univ]
exact ordConnected_image (e : α ≃o β)
@[simp]
theorem dual_ordConnected_iff {s : Set α} : OrdConnected (ofDual ⁻¹' s) ↔ OrdConnected s := by
simp_rw [ordConnected_def, toDual.surjective.forall, Icc_toDual, Subtype.forall']
exact forall_swap
@[instance]
theorem dual_ordConnected {s : Set α} [OrdConnected s] : OrdConnected (ofDual ⁻¹' s) :=
dual_ordConnected_iff.2 ‹_›
end Preorder
section PartialOrder
variable {α : Type*} [PartialOrder α] {s : Set α} {x y : α}
protected theorem _root_.IsAntichain.ordConnected (hs : IsAntichain (· ≤ ·) s) : s.OrdConnected :=
⟨fun x hx y hy z hz => by
obtain rfl := hs.eq hx hy (hz.1.trans hz.2)
rw [Icc_self, mem_singleton_iff] at hz
rwa [hz]⟩
lemma ordConnected_inter_Icc_of_subset (h : Ioo x y ⊆ s) : OrdConnected (s ∩ Icc x y) :=
ordConnected_of_Ioo fun _u ⟨_, hu, _⟩ _v ⟨_, _, hv⟩ _ ↦
Ioo_subset_Ioo hu hv |>.trans <| subset_inter h Ioo_subset_Icc_self
lemma ordConnected_inter_Icc_iff (hx : x ∈ s) (hy : y ∈ s) :
OrdConnected (s ∩ Icc x y) ↔ Ioo x y ⊆ s := by
refine ⟨fun h ↦ Ioo_subset_Icc_self.trans fun z hz ↦ ?_, ordConnected_inter_Icc_of_subset⟩
have hxy : x ≤ y := hz.1.trans hz.2
exact h.out ⟨hx, left_mem_Icc.2 hxy⟩ ⟨hy, right_mem_Icc.2 hxy⟩ hz |>.1
lemma not_ordConnected_inter_Icc_iff (hx : x ∈ s) (hy : y ∈ s) :
¬ OrdConnected (s ∩ Icc x y) ↔ ∃ z ∉ s, z ∈ Ioo x y := by
simp_rw [ordConnected_inter_Icc_iff hx hy, subset_def, not_forall, exists_prop, and_comm]
end PartialOrder
section LinearOrder
open scoped Interval
variable {α : Type*} [LinearOrder α] {s : Set α} {x : α}
@[instance]
theorem ordConnected_uIcc {a b : α} : OrdConnected [[a, b]] :=
| ordConnected_Icc
@[instance]
| Mathlib/Order/Interval/Set/OrdConnected.lean | 272 | 274 |
/-
Copyright (c) 2021 Bhavik Mehta, Yaël Dillies. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Bhavik Mehta, Alena Gusakov, Yaël Dillies
-/
import Mathlib.Data.Fintype.Powerset
import Mathlib.Order.Antichain
import Mathlib.Order.Interval.Finset.Nat
import Mathlib.Algebra.BigOperators.Group.Finset.Basic
/-!
# `r`-sets and slice
This file defines the `r`-th slice of a set family and provides a way to say that a set family is
made of `r`-sets.
An `r`-set is a finset of cardinality `r` (aka of *size* `r`). The `r`-th slice of a set family is
the set family made of its `r`-sets.
## Main declarations
* `Set.Sized`: `A.Sized r` means that `A` only contains `r`-sets.
* `Finset.slice`: `A.slice r` is the set of `r`-sets in `A`.
## Notation
`A # r` is notation for `A.slice r` in locale `finset_family`.
-/
open Finset Nat
variable {α : Type*} {ι : Sort*} {κ : ι → Sort*}
namespace Set
variable {A B : Set (Finset α)} {s : Finset α} {r : ℕ}
/-! ### Families of `r`-sets -/
/-- `Sized r A` means that every Finset in `A` has size `r`. -/
def Sized (r : ℕ) (A : Set (Finset α)) : Prop := ∀ ⦃x⦄, x ∈ A → #x = r
theorem Sized.mono (h : A ⊆ B) (hB : B.Sized r) : A.Sized r := fun _x hx => hB <| h hx
@[simp] lemma sized_empty : (∅ : Set (Finset α)).Sized r := by simp [Sized]
@[simp] lemma sized_singleton : ({s} : Set (Finset α)).Sized r ↔ #s = r := by simp [Sized]
theorem sized_union : (A ∪ B).Sized r ↔ A.Sized r ∧ B.Sized r :=
⟨fun hA => ⟨hA.mono subset_union_left, hA.mono subset_union_right⟩, fun hA _x hx =>
hx.elim (fun h => hA.1 h) fun h => hA.2 h⟩
alias ⟨_, sized.union⟩ := sized_union
--TODO: A `forall_iUnion` lemma would be handy here.
@[simp]
theorem sized_iUnion {f : ι → Set (Finset α)} : (⋃ i, f i).Sized r ↔ ∀ i, (f i).Sized r := by
simp_rw [Set.Sized, Set.mem_iUnion, forall_exists_index]
exact forall_swap
-- `simp` normal form is `sized_iUnion`.
theorem sized_iUnion₂ {f : ∀ i, κ i → Set (Finset α)} :
| (⋃ (i) (j), f i j).Sized r ↔ ∀ i j, (f i j).Sized r := by
simp only [Set.sized_iUnion]
| Mathlib/Data/Finset/Slice.lean | 64 | 66 |
/-
Copyright (c) 2021 Alex Kontorovich and Heather Macbeth and Marc Masdeu. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Alex Kontorovich, Heather Macbeth, Marc Masdeu
-/
import Mathlib.Analysis.Complex.Basic
import Mathlib.Data.Fintype.Parity
import Mathlib.LinearAlgebra.Matrix.GeneralLinearGroup.Defs
/-!
# The upper half plane and its automorphisms
This file defines `UpperHalfPlane` to be the upper half plane in `ℂ`.
We furthermore equip it with the structure of a `GLPos 2 ℝ` action by
fractional linear transformations.
We define the notation `ℍ` for the upper half plane available in the locale
`UpperHalfPlane` so as not to conflict with the quaternions.
-/
noncomputable section
open Matrix Matrix.SpecialLinearGroup
open scoped MatrixGroups
/-- The open upper half plane, denoted as `ℍ` within the `UpperHalfPlane` namespace -/
def UpperHalfPlane :=
{ point : ℂ // 0 < point.im }
@[inherit_doc] scoped[UpperHalfPlane] notation "ℍ" => UpperHalfPlane
open UpperHalfPlane
namespace UpperHalfPlane
/-- The coercion first into an element of `GL(2, ℝ)⁺`, then `GL(2, ℝ)` and finally a 2 × 2
matrix.
This notation is scoped in namespace `UpperHalfPlane`. -/
scoped notation:1024 "↑ₘ" A:1024 =>
(((A : GL(2, ℝ)⁺) : GL (Fin 2) ℝ) : Matrix (Fin 2) (Fin 2) _)
instance instCoeFun : CoeFun GL(2, ℝ)⁺ fun _ => Fin 2 → Fin 2 → ℝ where coe A := ↑ₘA
/-- The coercion into an element of `GL(2, R)` and finally a 2 × 2 matrix over `R`. This is
similar to `↑ₘ`, but without positivity requirements, and allows the user to specify the ring `R`,
which can be useful to help Lean elaborate correctly.
This notation is scoped in namespace `UpperHalfPlane`. -/
scoped notation:1024 "↑ₘ[" R "]" A:1024 =>
((A : GL (Fin 2) R) : Matrix (Fin 2) (Fin 2) R)
/-- Canonical embedding of the upper half-plane into `ℂ`. -/
@[coe] protected def coe (z : ℍ) : ℂ := z.1
instance : CoeOut ℍ ℂ := ⟨UpperHalfPlane.coe⟩
instance : Inhabited ℍ :=
⟨⟨Complex.I, by simp⟩⟩
@[ext] theorem ext {a b : ℍ} (h : (a : ℂ) = b) : a = b := Subtype.eq h
@[simp, norm_cast] theorem ext_iff' {a b : ℍ} : (a : ℂ) = b ↔ a = b := UpperHalfPlane.ext_iff.symm
instance canLift : CanLift ℂ ℍ ((↑) : ℍ → ℂ) fun z => 0 < z.im :=
Subtype.canLift fun (z : ℂ) => 0 < z.im
/-- Imaginary part -/
def im (z : ℍ) :=
(z : ℂ).im
/-- Real part -/
def re (z : ℍ) :=
(z : ℂ).re
/-- Extensionality lemma in terms of `UpperHalfPlane.re` and `UpperHalfPlane.im`. -/
theorem ext' {a b : ℍ} (hre : a.re = b.re) (him : a.im = b.im) : a = b :=
ext <| Complex.ext hre him
/-- Constructor for `UpperHalfPlane`. It is useful if `⟨z, h⟩` makes Lean use a wrong
typeclass instance. -/
def mk (z : ℂ) (h : 0 < z.im) : ℍ :=
⟨z, h⟩
@[simp]
theorem coe_im (z : ℍ) : (z : ℂ).im = z.im :=
rfl
@[simp]
theorem coe_re (z : ℍ) : (z : ℂ).re = z.re :=
rfl
@[simp]
theorem mk_re (z : ℂ) (h : 0 < z.im) : (mk z h).re = z.re :=
rfl
@[simp]
theorem mk_im (z : ℂ) (h : 0 < z.im) : (mk z h).im = z.im :=
rfl
@[simp]
theorem coe_mk (z : ℂ) (h : 0 < z.im) : (mk z h : ℂ) = z :=
rfl
@[simp]
lemma coe_mk_subtype {z : ℂ} (hz : 0 < z.im) :
UpperHalfPlane.coe ⟨z, hz⟩ = z := by
rfl
@[simp]
theorem mk_coe (z : ℍ) (h : 0 < (z : ℂ).im := z.2) : mk z h = z :=
rfl
theorem re_add_im (z : ℍ) : (z.re + z.im * Complex.I : ℂ) = z :=
Complex.re_add_im z
theorem im_pos (z : ℍ) : 0 < z.im :=
z.2
theorem im_ne_zero (z : ℍ) : z.im ≠ 0 :=
z.im_pos.ne'
theorem ne_zero (z : ℍ) : (z : ℂ) ≠ 0 :=
mt (congr_arg Complex.im) z.im_ne_zero
/-- Define I := √-1 as an element on the upper half plane. -/
def I : ℍ := ⟨Complex.I, by simp⟩
@[simp]
lemma I_im : I.im = 1 := rfl
@[simp]
lemma I_re : I.re = 0 := rfl
@[simp, norm_cast]
lemma coe_I : I = Complex.I := rfl
end UpperHalfPlane
namespace Mathlib.Meta.Positivity
open Lean Meta Qq
/-- Extension for the `positivity` tactic: `UpperHalfPlane.im`. -/
@[positivity UpperHalfPlane.im _]
def evalUpperHalfPlaneIm : PositivityExt where eval {u α} _zα _pα e := do
match u, α, e with
| 0, ~q(ℝ), ~q(UpperHalfPlane.im $a) =>
assertInstancesCommute
pure (.positive q(@UpperHalfPlane.im_pos $a))
| _, _, _ => throwError "not UpperHalfPlane.im"
/-- Extension for the `positivity` tactic: `UpperHalfPlane.coe`. -/
@[positivity UpperHalfPlane.coe _]
def evalUpperHalfPlaneCoe : PositivityExt where eval {u α} _zα _pα e := do
match u, α, e with
| 0, ~q(ℂ), ~q(UpperHalfPlane.coe $a) =>
assertInstancesCommute
pure (.nonzero q(@UpperHalfPlane.ne_zero $a))
| _, _, _ => throwError "not UpperHalfPlane.coe"
end Mathlib.Meta.Positivity
namespace UpperHalfPlane
theorem normSq_pos (z : ℍ) : 0 < Complex.normSq (z : ℂ) := by
rw [Complex.normSq_pos]; exact z.ne_zero
theorem normSq_ne_zero (z : ℍ) : Complex.normSq (z : ℂ) ≠ 0 :=
(normSq_pos z).ne'
theorem im_inv_neg_coe_pos (z : ℍ) : 0 < (-z : ℂ)⁻¹.im := by
simpa [neg_div] using div_pos z.property (normSq_pos z)
lemma ne_nat (z : ℍ) : ∀ n : ℕ, z.1 ≠ n := by
intro n
have h1 := z.2
aesop
lemma ne_int (z : ℍ) : ∀ n : ℤ, z.1 ≠ n := by
intro n
have h1 := z.2
aesop
/-- Numerator of the formula for a fractional linear transformation -/
def num (g : GL(2, ℝ)⁺) (z : ℍ) : ℂ := g 0 0 * z + g 0 1
/-- Denominator of the formula for a fractional linear transformation -/
def denom (g : GL(2, ℝ)⁺) (z : ℍ) : ℂ := g 1 0 * z + g 1 1
theorem linear_ne_zero (cd : Fin 2 → ℝ) (z : ℍ) (h : cd ≠ 0) : (cd 0 : ℂ) * z + cd 1 ≠ 0 := by
contrapose! h
have : cd 0 = 0 := by
-- we will need this twice
apply_fun Complex.im at h
simpa only [z.im_ne_zero, Complex.add_im, add_zero, coe_im, zero_mul, or_false,
Complex.ofReal_im, Complex.zero_im, Complex.mul_im, mul_eq_zero] using h
simp only [this, zero_mul, Complex.ofReal_zero, zero_add, Complex.ofReal_eq_zero]
at h
ext i
fin_cases i <;> assumption
theorem denom_ne_zero (g : GL(2, ℝ)⁺) (z : ℍ) : denom g z ≠ 0 := by
intro H
have DET := (mem_glpos _).1 g.prop
simp only [GeneralLinearGroup.val_det_apply] at DET
obtain hg | hz : g 1 0 = 0 ∨ z.im = 0 := by simpa [num, denom] using congr_arg Complex.im H
· simp only [hg, Complex.ofReal_zero, denom, zero_mul, zero_add, Complex.ofReal_eq_zero] at H
simp only [Matrix.det_fin_two g.1.1, H, hg, mul_zero, sub_zero, lt_self_iff_false] at DET
· exact z.prop.ne' hz
theorem normSq_denom_pos (g : GL(2, ℝ)⁺) (z : ℍ) : 0 < Complex.normSq (denom g z) :=
Complex.normSq_pos.mpr (denom_ne_zero g z)
theorem normSq_denom_ne_zero (g : GL(2, ℝ)⁺) (z : ℍ) : Complex.normSq (denom g z) ≠ 0 :=
ne_of_gt (normSq_denom_pos g z)
/-- Fractional linear transformation, also known as the Moebius transformation -/
def smulAux' (g : GL(2, ℝ)⁺) (z : ℍ) : ℂ :=
num g z / denom g z
theorem smulAux'_im (g : GL(2, ℝ)⁺) (z : ℍ) :
(smulAux' g z).im = det ↑ₘg * z.im / Complex.normSq (denom g z) := by
simp only [smulAux', num, denom, Complex.div_im, Complex.add_im, Complex.mul_im,
Complex.ofReal_re, coe_im, Complex.ofReal_im, coe_re, zero_mul, add_zero, Complex.add_re,
Complex.mul_re, sub_zero, ← sub_div, g.1.1.det_fin_two]
ring
/-- Fractional linear transformation, also known as the Moebius transformation -/
def smulAux (g : GL(2, ℝ)⁺) (z : ℍ) : ℍ :=
mk (smulAux' g z) <| by
rw [smulAux'_im]
convert mul_pos ((mem_glpos _).1 g.prop)
(div_pos z.im_pos (Complex.normSq_pos.mpr (denom_ne_zero g z))) using 1
simp only [GeneralLinearGroup.val_det_apply]
ring
theorem denom_cocycle (x y : GL(2, ℝ)⁺) (z : ℍ) :
denom (x * y) z = denom x (smulAux y z) * denom y z := by
change _ = (_ * (_ / _) + _) * _
field_simp [denom_ne_zero]
simp only [denom, Subgroup.coe_mul, Fin.isValue, Units.val_mul, mul_apply, Fin.sum_univ_succ,
Finset.univ_unique, Fin.default_eq_zero, Finset.sum_singleton, Fin.succ_zero_eq_one,
Complex.ofReal_add, Complex.ofReal_mul, num]
ring
theorem mul_smul' (x y : GL(2, ℝ)⁺) (z : ℍ) : smulAux (x * y) z = smulAux x (smulAux y z) := by
ext1
change _ / _ = (_ * (_ / _) + _) / _
rw [denom_cocycle]
field_simp [denom_ne_zero]
simp only [num, Subgroup.coe_mul, Fin.isValue, Units.val_mul, mul_apply, Fin.sum_univ_succ,
Finset.univ_unique, Fin.default_eq_zero, Finset.sum_singleton, Fin.succ_zero_eq_one,
Complex.ofReal_add, Complex.ofReal_mul, denom]
ring
/-- The action of `GLPos 2 ℝ` on the upper half-plane by fractional linear transformations. -/
instance : MulAction GL(2, ℝ)⁺ ℍ where
smul := smulAux
one_smul z := by
ext1
change _ / _ = _
simp [num, denom]
mul_smul := mul_smul'
instance SLAction {R : Type*} [CommRing R] [Algebra R ℝ] : MulAction SL(2, R) ℍ :=
MulAction.compHom ℍ <| SpecialLinearGroup.toGLPos.comp <| map (algebraMap R ℝ)
-- Porting note: in the statement, we used to have coercions `↑· : ℝ`
-- rather than `algebraMap R ℝ ·`.
theorem specialLinearGroup_apply {R : Type*} [CommRing R] [Algebra R ℝ] (g : SL(2, R)) (z : ℍ) :
g • z =
mk
(((algebraMap R ℝ (g 0 0) : ℂ) * z + (algebraMap R ℝ (g 0 1) : ℂ)) /
((algebraMap R ℝ (g 1 0) : ℂ) * z + (algebraMap R ℝ (g 1 1) : ℂ)))
(g • z).property :=
rfl
variable (g : GL(2, ℝ)⁺) (z : ℍ)
@[simp]
theorem coe_smul : ↑(g • z) = num g z / denom g z :=
rfl
@[simp]
theorem re_smul : (g • z).re = (num g z / denom g z).re :=
rfl
theorem im_smul : (g • z).im = (num g z / denom g z).im :=
rfl
theorem im_smul_eq_div_normSq : (g • z).im = det ↑ₘg * z.im / Complex.normSq (denom g z) :=
smulAux'_im g z
theorem c_mul_im_sq_le_normSq_denom : (g 1 0 * z.im) ^ 2 ≤ Complex.normSq (denom g z) := by
set c := g 1 0
set d := g 1 1
calc
(c * z.im) ^ 2 ≤ (c * z.im) ^ 2 + (c * z.re + d) ^ 2 := by nlinarith
_ = Complex.normSq (denom g z) := by dsimp [c, d, denom, Complex.normSq]; ring
@[simp]
theorem neg_smul : -g • z = g • z := by
ext1
change _ / _ = _ / _
field_simp [denom_ne_zero]
simp only [num, denom, Complex.ofReal_neg, neg_mul, GLPos.coe_neg_GL, Units.val_neg, neg_apply]
ring_nf
lemma denom_one : denom 1 z = 1 := by
simp [denom]
section PosRealAction
instance posRealAction : MulAction { x : ℝ // 0 < x } ℍ where
smul x z := mk ((x : ℝ) • (z : ℂ)) <| by simpa using mul_pos x.2 z.2
one_smul _ := Subtype.ext <| one_smul _ _
mul_smul x y z := Subtype.ext <| mul_smul (x : ℝ) y (z : ℂ)
variable (x : { x : ℝ // 0 < x }) (z : ℍ)
@[simp]
theorem coe_pos_real_smul : ↑(x • z) = (x : ℝ) • (z : ℂ) :=
rfl
@[simp]
theorem pos_real_im : (x • z).im = x * z.im :=
Complex.smul_im _ _
@[simp]
theorem pos_real_re : (x • z).re = x * z.re :=
Complex.smul_re _ _
end PosRealAction
section RealAddAction
instance : AddAction ℝ ℍ where
vadd x z := mk (x + z) <| by simpa using z.im_pos
zero_vadd _ := Subtype.ext <| by simp [HVAdd.hVAdd]
add_vadd x y z := Subtype.ext <| by simp [HVAdd.hVAdd, add_assoc]
variable (x : ℝ) (z : ℍ)
@[simp]
theorem coe_vadd : ↑(x +ᵥ z) = (x + z : ℂ) :=
rfl
@[simp]
theorem vadd_re : (x +ᵥ z).re = x + z.re :=
rfl
@[simp]
theorem vadd_im : (x +ᵥ z).im = z.im :=
zero_add _
end RealAddAction
/- these next few lemmas are *not* flagged `@simp` because of the constructors on the RHS;
instead we use the versions with coercions to `ℂ` as simp lemmas instead. -/
theorem modular_S_smul (z : ℍ) : ModularGroup.S • z = mk (-z : ℂ)⁻¹ z.im_inv_neg_coe_pos := by
rw [specialLinearGroup_apply]; simp [ModularGroup.S, neg_div, inv_neg, toGL]
theorem modular_T_zpow_smul (z : ℍ) (n : ℤ) : ModularGroup.T ^ n • z = (n : ℝ) +ᵥ z := by
rw [UpperHalfPlane.ext_iff, coe_vadd, add_comm, specialLinearGroup_apply, coe_mk]
simp [toGL, ModularGroup.coe_T_zpow,
of_apply, cons_val_zero, algebraMap.coe_one, Complex.ofReal_one, one_mul, cons_val_one,
head_cons, algebraMap.coe_zero, zero_mul, zero_add, div_one]
theorem modular_T_smul (z : ℍ) : ModularGroup.T • z = (1 : ℝ) +ᵥ z := by
simpa only [Int.cast_one] using modular_T_zpow_smul z 1
theorem exists_SL2_smul_eq_of_apply_zero_one_eq_zero (g : SL(2, ℝ)) (hc : g 1 0 = 0) :
∃ (u : { x : ℝ // 0 < x }) (v : ℝ), (g • · : ℍ → ℍ) = (v +ᵥ ·) ∘ (u • ·) := by
obtain ⟨a, b, ha, rfl⟩ := g.fin_two_exists_eq_mk_of_apply_zero_one_eq_zero hc
refine ⟨⟨_, mul_self_pos.mpr ha⟩, b * a, ?_⟩
ext1 ⟨z, hz⟩; ext1
suffices ↑a * z * a + b * a = b * a + a * a * z by
simpa [toGL, specialLinearGroup_apply, add_mul]
ring
theorem exists_SL2_smul_eq_of_apply_zero_one_ne_zero (g : SL(2, ℝ)) (hc : g 1 0 ≠ 0) :
∃ (u : { x : ℝ // 0 < x }) (v w : ℝ),
(g • · : ℍ → ℍ) =
(w +ᵥ ·) ∘ (ModularGroup.S • · : ℍ → ℍ) ∘ (v +ᵥ · : ℍ → ℍ) ∘ (u • · : ℍ → ℍ) := by
have h_denom := denom_ne_zero g
induction g using Matrix.SpecialLinearGroup.fin_two_induction with | _ a b c d h => ?_
replace hc : c ≠ 0 := by simpa using hc
refine ⟨⟨_, mul_self_pos.mpr hc⟩, c * d, a / c, ?_⟩
ext1 ⟨z, hz⟩; ext1
suffices (↑a * z + b) / (↑c * z + d) = a / c - (c * d + ↑c * ↑c * z)⁻¹ by
simpa only [modular_S_smul, inv_neg, Function.comp_apply, coe_vadd, Complex.ofReal_mul,
coe_pos_real_smul, Complex.real_smul, Complex.ofReal_div, coe_mk]
replace hc : (c : ℂ) ≠ 0 := by norm_cast
replace h_denom : ↑c * z + d ≠ 0 := by simpa using h_denom ⟨z, hz⟩
have h_aux : (c : ℂ) * d + ↑c * ↑c * z ≠ 0 := by
rw [mul_assoc, ← mul_add, add_comm]
exact mul_ne_zero hc h_denom
replace h : (a * d - b * c : ℂ) = (1 : ℂ) := by norm_cast
field_simp
linear_combination (-(z * (c : ℂ) ^ 2) - c * d) * h
end UpperHalfPlane
namespace ModularGroup -- results specific to `SL(2, ℤ)`
section ModularScalarTowers
/-- Canonical embedding of `SL(2, ℤ)` into `GL(2, ℝ)⁺`. -/
@[coe]
def coe (g : SL(2, ℤ)) : GL(2, ℝ)⁺ := ((g : SL(2, ℝ)) : GL(2, ℝ)⁺)
@[deprecated (since := "2024-11-19")] noncomputable alias coe' := coe
instance : Coe SL(2, ℤ) GL(2, ℝ)⁺ :=
⟨coe⟩
@[simp]
theorem coe_apply_complex {g : SL(2, ℤ)} {i j : Fin 2} :
(Units.val <| Subtype.val <| coe g) i j = (Subtype.val g i j : ℂ) :=
rfl
@[deprecated (since := "2024-11-19")] alias coe'_apply_complex := coe_apply_complex
@[simp]
theorem det_coe {g : SL(2, ℤ)} : det (Units.val <| Subtype.val <| coe g) = 1 := by
simp only [SpecialLinearGroup.coe_GLPos_coe_GL_coe_matrix, SpecialLinearGroup.det_coe, coe]
@[deprecated (since := "2024-11-19")] alias det_coe' := det_coe
lemma coe_one : coe 1 = 1 := by
simp only [coe, map_one]
instance SLOnGLPos : SMul SL(2, ℤ) GL(2, ℝ)⁺ :=
⟨fun s g => s * g⟩
theorem SLOnGLPos_smul_apply (s : SL(2, ℤ)) (g : GL(2, ℝ)⁺) (z : ℍ) :
(s • g) • z = ((s : GL(2, ℝ)⁺) * g) • z :=
rfl
instance SL_to_GL_tower : IsScalarTower SL(2, ℤ) GL(2, ℝ)⁺ ℍ where
smul_assoc s g z := by
simp only [SLOnGLPos_smul_apply]
apply mul_smul'
end ModularScalarTowers
section SLModularAction
variable (g : SL(2, ℤ)) (z : ℍ)
@[simp]
theorem sl_moeb (A : SL(2, ℤ)) (z : ℍ) : A • z = (A : GL(2, ℝ)⁺) • z :=
rfl
@[simp high]
theorem SL_neg_smul (g : SL(2, ℤ)) (z : ℍ) : -g • z = g • z := by
simp only [coe_GLPos_neg, sl_moeb, coe_int_neg, neg_smul, coe]
theorem im_smul_eq_div_normSq : (g • z).im = z.im / Complex.normSq (denom g z) := by
simpa only [coe, coe_GLPos_coe_GL_coe_matrix, (g : SL(2, ℝ)).prop, one_mul] using
z.im_smul_eq_div_normSq g
theorem denom_apply (g : SL(2, ℤ)) (z : ℍ) :
denom g z = g 1 0 * z + g 1 1 := by
simp [denom, coe]
@[simp]
lemma denom_S (z : ℍ) : denom S z = z := by
simp only [S, denom_apply, of_apply, cons_val', cons_val_zero, empty_val', cons_val_fin_one,
cons_val_one, head_fin_const, Int.cast_one, one_mul, head_cons, Int.cast_zero, add_zero]
end SLModularAction
end ModularGroup
| Mathlib/Analysis/Complex/UpperHalfPlane/Basic.lean | 519 | 524 | |
/-
Copyright (c) 2020 Joseph Myers. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Joseph Myers, Manuel Candales
-/
import Mathlib.Analysis.Convex.Between
import Mathlib.Analysis.Normed.Group.AddTorsor
import Mathlib.Geometry.Euclidean.Angle.Unoriented.Basic
import Mathlib.Analysis.Normed.Affine.Isometry
/-!
# Angles between points
This file defines unoriented angles in Euclidean affine spaces.
## Main definitions
* `EuclideanGeometry.angle`, with notation `∠`, is the undirected angle determined by three
points.
## TODO
Prove the triangle inequality for the angle.
-/
noncomputable section
open Real RealInnerProductSpace
namespace EuclideanGeometry
open InnerProductGeometry
variable {V P : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V] [MetricSpace P]
[NormedAddTorsor V P] {p p₀ : P}
/-- The undirected angle at `p₂` between the line segments to `p₁` and
`p₃`. If either of those points equals `p₂`, this is π/2. Use
`open scoped EuclideanGeometry` to access the `∠ p₁ p₂ p₃`
notation. -/
nonrec def angle (p₁ p₂ p₃ : P) : ℝ :=
angle (p₁ -ᵥ p₂ : V) (p₃ -ᵥ p₂)
@[inherit_doc] scoped notation "∠" => EuclideanGeometry.angle
theorem continuousAt_angle {x : P × P × P} (hx12 : x.1 ≠ x.2.1) (hx32 : x.2.2 ≠ x.2.1) :
ContinuousAt (fun y : P × P × P => ∠ y.1 y.2.1 y.2.2) x := by
let f : P × P × P → V × V := fun y => (y.1 -ᵥ y.2.1, y.2.2 -ᵥ y.2.1)
have hf1 : (f x).1 ≠ 0 := by simp [f, hx12]
have hf2 : (f x).2 ≠ 0 := by simp [f, hx32]
exact (InnerProductGeometry.continuousAt_angle hf1 hf2).comp (by fun_prop)
@[simp]
theorem _root_.AffineIsometry.angle_map {V₂ P₂ : Type*} [NormedAddCommGroup V₂]
[InnerProductSpace ℝ V₂] [MetricSpace P₂] [NormedAddTorsor V₂ P₂]
(f : P →ᵃⁱ[ℝ] P₂) (p₁ p₂ p₃ : P) : ∠ (f p₁) (f p₂) (f p₃) = ∠ p₁ p₂ p₃ := by
simp_rw [angle, ← AffineIsometry.map_vsub, LinearIsometry.angle_map]
@[simp, norm_cast]
theorem _root_.AffineSubspace.angle_coe {s : AffineSubspace ℝ P} (p₁ p₂ p₃ : s) :
haveI : Nonempty s := ⟨p₁⟩
∠ (p₁ : P) (p₂ : P) (p₃ : P) = ∠ p₁ p₂ p₃ :=
haveI : Nonempty s := ⟨p₁⟩
s.subtypeₐᵢ.angle_map p₁ p₂ p₃
/-- Angles are translation invariant -/
@[simp]
theorem angle_const_vadd (v : V) (p₁ p₂ p₃ : P) : ∠ (v +ᵥ p₁) (v +ᵥ p₂) (v +ᵥ p₃) = ∠ p₁ p₂ p₃ :=
(AffineIsometryEquiv.constVAdd ℝ P v).toAffineIsometry.angle_map _ _ _
/-- Angles are translation invariant -/
@[simp]
theorem angle_vadd_const (v₁ v₂ v₃ : V) (p : P) : ∠ (v₁ +ᵥ p) (v₂ +ᵥ p) (v₃ +ᵥ p) = ∠ v₁ v₂ v₃ :=
(AffineIsometryEquiv.vaddConst ℝ p).toAffineIsometry.angle_map _ _ _
/-- Angles are translation invariant -/
@[simp]
theorem angle_const_vsub (p p₁ p₂ p₃ : P) : ∠ (p -ᵥ p₁) (p -ᵥ p₂) (p -ᵥ p₃) = ∠ p₁ p₂ p₃ :=
(AffineIsometryEquiv.constVSub ℝ p).toAffineIsometry.angle_map _ _ _
/-- Angles are translation invariant -/
@[simp]
theorem angle_vsub_const (p₁ p₂ p₃ p : P) : ∠ (p₁ -ᵥ p) (p₂ -ᵥ p) (p₃ -ᵥ p) = ∠ p₁ p₂ p₃ :=
(AffineIsometryEquiv.vaddConst ℝ p).symm.toAffineIsometry.angle_map _ _ _
/-- Angles in a vector space are translation invariant -/
@[simp]
theorem angle_add_const (v₁ v₂ v₃ : V) (v : V) : ∠ (v₁ + v) (v₂ + v) (v₃ + v) = ∠ v₁ v₂ v₃ :=
angle_vadd_const _ _ _ _
/-- Angles in a vector space are translation invariant -/
@[simp]
theorem angle_const_add (v : V) (v₁ v₂ v₃ : V) : ∠ (v + v₁) (v + v₂) (v + v₃) = ∠ v₁ v₂ v₃ :=
angle_const_vadd _ _ _ _
/-- Angles in a vector space are translation invariant -/
@[simp]
theorem angle_sub_const (v₁ v₂ v₃ : V) (v : V) : ∠ (v₁ - v) (v₂ - v) (v₃ - v) = ∠ v₁ v₂ v₃ := by
simpa only [vsub_eq_sub] using angle_vsub_const v₁ v₂ v₃ v
/-- Angles in a vector space are invariant to inversion -/
@[simp]
theorem angle_const_sub (v : V) (v₁ v₂ v₃ : V) : ∠ (v - v₁) (v - v₂) (v - v₃) = ∠ v₁ v₂ v₃ := by
simpa only [vsub_eq_sub] using angle_const_vsub v v₁ v₂ v₃
/-- Angles in a vector space are invariant to inversion -/
@[simp]
theorem angle_neg (v₁ v₂ v₃ : V) : ∠ (-v₁) (-v₂) (-v₃) = ∠ v₁ v₂ v₃ := by
simpa only [zero_sub] using angle_const_sub 0 v₁ v₂ v₃
/-- The angle at a point does not depend on the order of the other two
points. -/
nonrec theorem angle_comm (p₁ p₂ p₃ : P) : ∠ p₁ p₂ p₃ = ∠ p₃ p₂ p₁ :=
angle_comm _ _
/-- The angle at a point is nonnegative. -/
nonrec theorem angle_nonneg (p₁ p₂ p₃ : P) : 0 ≤ ∠ p₁ p₂ p₃ :=
angle_nonneg _ _
/-- The angle at a point is at most π. -/
nonrec theorem angle_le_pi (p₁ p₂ p₃ : P) : ∠ p₁ p₂ p₃ ≤ π :=
angle_le_pi _ _
/-- The angle ∠AAB at a point is always `π / 2`. -/
@[simp] lemma angle_self_left (p₀ p : P) : ∠ p₀ p₀ p = π / 2 := by
unfold angle
rw [vsub_self]
exact angle_zero_left _
/-- The angle ∠ABB at a point is always `π / 2`. -/
@[simp] lemma angle_self_right (p₀ p : P) : ∠ p p₀ p₀ = π / 2 := by rw [angle_comm, angle_self_left]
/-- The angle ∠ABA at a point is `0`, unless `A = B`. -/
theorem angle_self_of_ne (h : p ≠ p₀) : ∠ p p₀ p = 0 := angle_self <| vsub_ne_zero.2 h
/-- If the angle ∠ABC at a point is π, the angle ∠BAC is 0. -/
theorem angle_eq_zero_of_angle_eq_pi_left {p₁ p₂ p₃ : P} (h : ∠ p₁ p₂ p₃ = π) : ∠ p₂ p₁ p₃ = 0 := by
unfold angle at h
rw [angle_eq_pi_iff] at h
rcases h with ⟨hp₁p₂, ⟨r, ⟨hr, hpr⟩⟩⟩
unfold angle
rw [angle_eq_zero_iff]
rw [← neg_vsub_eq_vsub_rev, neg_ne_zero] at hp₁p₂
use hp₁p₂, -r + 1, add_pos (neg_pos_of_neg hr) zero_lt_one
rw [add_smul, ← neg_vsub_eq_vsub_rev p₁ p₂, smul_neg]
simp [← hpr]
/-- If the angle ∠ABC at a point is π, the angle ∠BCA is 0. -/
theorem angle_eq_zero_of_angle_eq_pi_right {p₁ p₂ p₃ : P} (h : ∠ p₁ p₂ p₃ = π) :
∠ p₂ p₃ p₁ = 0 := by
rw [angle_comm] at h
exact angle_eq_zero_of_angle_eq_pi_left h
/-- If ∠BCD = π, then ∠ABC = ∠ABD. -/
theorem angle_eq_angle_of_angle_eq_pi (p₁ : P) {p₂ p₃ p₄ : P} (h : ∠ p₂ p₃ p₄ = π) :
∠ p₁ p₂ p₃ = ∠ p₁ p₂ p₄ := by
unfold angle at *
rcases angle_eq_pi_iff.1 h with ⟨_, ⟨r, ⟨hr, hpr⟩⟩⟩
rw [eq_comm]
convert angle_smul_right_of_pos (p₁ -ᵥ p₂) (p₃ -ᵥ p₂) (add_pos (neg_pos_of_neg hr) zero_lt_one)
rw [add_smul, ← neg_vsub_eq_vsub_rev p₂ p₃, smul_neg, neg_smul, ← hpr]
simp
/-- If ∠BCD = π, then ∠ACB + ∠ACD = π. -/
nonrec theorem angle_add_angle_eq_pi_of_angle_eq_pi (p₁ : P) {p₂ p₃ p₄ : P} (h : ∠ p₂ p₃ p₄ = π) :
∠ p₁ p₃ p₂ + ∠ p₁ p₃ p₄ = π := by
unfold angle at h
rw [angle_comm p₁ p₃ p₂, angle_comm p₁ p₃ p₄]
unfold angle
exact angle_add_angle_eq_pi_of_angle_eq_pi _ h
/-- **Vertical Angles Theorem**: angles opposite each other, formed by two intersecting straight
lines, are equal. -/
theorem angle_eq_angle_of_angle_eq_pi_of_angle_eq_pi {p₁ p₂ p₃ p₄ p₅ : P} (hapc : ∠ p₁ p₅ p₃ = π)
(hbpd : ∠ p₂ p₅ p₄ = π) : ∠ p₁ p₅ p₂ = ∠ p₃ p₅ p₄ := by
linarith [angle_add_angle_eq_pi_of_angle_eq_pi p₁ hbpd, angle_comm p₄ p₅ p₁,
angle_add_angle_eq_pi_of_angle_eq_pi p₄ hapc, angle_comm p₄ p₅ p₃]
/-- If ∠ABC = π then dist A B ≠ 0. -/
theorem left_dist_ne_zero_of_angle_eq_pi {p₁ p₂ p₃ : P} (h : ∠ p₁ p₂ p₃ = π) : dist p₁ p₂ ≠ 0 := by
by_contra heq
rw [dist_eq_zero] at heq
rw [heq, angle_self_left] at h
exact Real.pi_ne_zero (by linarith)
/-- If ∠ABC = π then dist C B ≠ 0. -/
theorem right_dist_ne_zero_of_angle_eq_pi {p₁ p₂ p₃ : P} (h : ∠ p₁ p₂ p₃ = π) : dist p₃ p₂ ≠ 0 :=
left_dist_ne_zero_of_angle_eq_pi <| (angle_comm _ _ _).trans h
/-- If ∠ABC = π, then (dist A C) = (dist A B) + (dist B C). -/
theorem dist_eq_add_dist_of_angle_eq_pi {p₁ p₂ p₃ : P} (h : ∠ p₁ p₂ p₃ = π) :
dist p₁ p₃ = dist p₁ p₂ + dist p₃ p₂ := by
rw [dist_eq_norm_vsub V, dist_eq_norm_vsub V, dist_eq_norm_vsub V, ← vsub_sub_vsub_cancel_right]
exact norm_sub_eq_add_norm_of_angle_eq_pi h
/-- If A ≠ B and C ≠ B then ∠ABC = π if and only if (dist A C) = (dist A B) + (dist B C). -/
theorem dist_eq_add_dist_iff_angle_eq_pi {p₁ p₂ p₃ : P} (hp₁p₂ : p₁ ≠ p₂) (hp₃p₂ : p₃ ≠ p₂) :
dist p₁ p₃ = dist p₁ p₂ + dist p₃ p₂ ↔ ∠ p₁ p₂ p₃ = π := by
rw [dist_eq_norm_vsub V, dist_eq_norm_vsub V, dist_eq_norm_vsub V, ← vsub_sub_vsub_cancel_right]
exact
norm_sub_eq_add_norm_iff_angle_eq_pi (fun he => hp₁p₂ (vsub_eq_zero_iff_eq.1 he)) fun he =>
hp₃p₂ (vsub_eq_zero_iff_eq.1 he)
| /-- If ∠ABC = 0, then (dist A C) = abs ((dist A B) - (dist B C)). -/
theorem dist_eq_abs_sub_dist_of_angle_eq_zero {p₁ p₂ p₃ : P} (h : ∠ p₁ p₂ p₃ = 0) :
dist p₁ p₃ = |dist p₁ p₂ - dist p₃ p₂| := by
rw [dist_eq_norm_vsub V, dist_eq_norm_vsub V, dist_eq_norm_vsub V, ← vsub_sub_vsub_cancel_right]
| Mathlib/Geometry/Euclidean/Angle/Unoriented/Affine.lean | 206 | 209 |
/-
Copyright (c) 2021 Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sébastien Gouëzel
-/
import Mathlib.MeasureTheory.Measure.Trim
import Mathlib.MeasureTheory.MeasurableSpace.CountablyGenerated
/-!
# Almost everywhere measurable functions
A function is almost everywhere measurable if it coincides almost everywhere with a measurable
function. This property, called `AEMeasurable f μ`, is defined in the file `MeasureSpaceDef`.
We discuss several of its properties that are analogous to properties of measurable functions.
-/
open MeasureTheory MeasureTheory.Measure Filter Set Function ENNReal
variable {ι α β γ δ R : Type*} {m0 : MeasurableSpace α} [MeasurableSpace β] [MeasurableSpace γ]
[MeasurableSpace δ] {f g : α → β} {μ ν : Measure α}
section
@[nontriviality, measurability]
theorem Subsingleton.aemeasurable [Subsingleton α] : AEMeasurable f μ :=
Subsingleton.measurable.aemeasurable
@[nontriviality, measurability]
theorem aemeasurable_of_subsingleton_codomain [Subsingleton β] : AEMeasurable f μ :=
(measurable_of_subsingleton_codomain f).aemeasurable
@[simp, measurability]
theorem aemeasurable_zero_measure : AEMeasurable f (0 : Measure α) := by
nontriviality α; inhabit α
exact ⟨fun _ => f default, measurable_const, rfl⟩
@[fun_prop]
theorem aemeasurable_id'' (μ : Measure α) {m : MeasurableSpace α} (hm : m ≤ m0) :
@AEMeasurable α α m m0 id μ :=
@Measurable.aemeasurable α α m0 m id μ (measurable_id'' hm)
lemma aemeasurable_of_map_neZero {μ : Measure α}
{f : α → β} (h : NeZero (μ.map f)) :
AEMeasurable f μ := by
by_contra h'
simp [h'] at h
namespace AEMeasurable
lemma mono_ac (hf : AEMeasurable f ν) (hμν : μ ≪ ν) : AEMeasurable f μ :=
⟨hf.mk f, hf.measurable_mk, hμν.ae_le hf.ae_eq_mk⟩
theorem mono_measure (h : AEMeasurable f μ) (h' : ν ≤ μ) : AEMeasurable f ν :=
mono_ac h h'.absolutelyContinuous
theorem mono_set {s t} (h : s ⊆ t) (ht : AEMeasurable f (μ.restrict t)) :
AEMeasurable f (μ.restrict s) :=
ht.mono_measure (restrict_mono h le_rfl)
@[fun_prop]
protected theorem mono' (h : AEMeasurable f μ) (h' : ν ≪ μ) : AEMeasurable f ν :=
⟨h.mk f, h.measurable_mk, h' h.ae_eq_mk⟩
theorem ae_mem_imp_eq_mk {s} (h : AEMeasurable f (μ.restrict s)) :
∀ᵐ x ∂μ, x ∈ s → f x = h.mk f x :=
ae_imp_of_ae_restrict h.ae_eq_mk
theorem ae_inf_principal_eq_mk {s} (h : AEMeasurable f (μ.restrict s)) : f =ᶠ[ae μ ⊓ 𝓟 s] h.mk f :=
le_ae_restrict h.ae_eq_mk
@[measurability]
theorem sum_measure [Countable ι] {μ : ι → Measure α} (h : ∀ i, AEMeasurable f (μ i)) :
AEMeasurable f (sum μ) := by
classical
nontriviality β
inhabit β
set s : ι → Set α := fun i => toMeasurable (μ i) { x | f x ≠ (h i).mk f x }
have hsμ : ∀ i, μ i (s i) = 0 := by
intro i
rw [measure_toMeasurable]
exact (h i).ae_eq_mk
have hsm : MeasurableSet (⋂ i, s i) :=
MeasurableSet.iInter fun i => measurableSet_toMeasurable _ _
have hs : ∀ i x, x ∉ s i → f x = (h i).mk f x := by
intro i x hx
contrapose! hx
exact subset_toMeasurable _ _ hx
set g : α → β := (⋂ i, s i).piecewise (const α default) f
refine ⟨g, measurable_of_restrict_of_restrict_compl hsm ?_ ?_, ae_sum_iff.mpr fun i => ?_⟩
· rw [restrict_piecewise]
simp only [s, Set.restrict, const]
exact measurable_const
· rw [restrict_piecewise_compl, compl_iInter]
intro t ht
refine ⟨⋃ i, (h i).mk f ⁻¹' t ∩ (s i)ᶜ, MeasurableSet.iUnion fun i ↦
(measurable_mk _ ht).inter (measurableSet_toMeasurable _ _).compl, ?_⟩
ext ⟨x, hx⟩
simp only [mem_preimage, mem_iUnion, Subtype.coe_mk, Set.restrict, mem_inter_iff,
mem_compl_iff] at hx ⊢
constructor
· rintro ⟨i, hxt, hxs⟩
rwa [hs _ _ hxs]
· rcases hx with ⟨i, hi⟩
rw [hs _ _ hi]
exact fun h => ⟨i, h, hi⟩
· refine measure_mono_null (fun x (hx : f x ≠ g x) => ?_) (hsμ i)
contrapose! hx
refine (piecewise_eq_of_not_mem _ _ _ ?_).symm
exact fun h => hx (mem_iInter.1 h i)
@[simp]
theorem _root_.aemeasurable_sum_measure_iff [Countable ι] {μ : ι → Measure α} :
AEMeasurable f (sum μ) ↔ ∀ i, AEMeasurable f (μ i) :=
⟨fun h _ => h.mono_measure (le_sum _ _), sum_measure⟩
@[simp]
theorem _root_.aemeasurable_add_measure_iff :
AEMeasurable f (μ + ν) ↔ AEMeasurable f μ ∧ AEMeasurable f ν := by
rw [← sum_cond, aemeasurable_sum_measure_iff, Bool.forall_bool, and_comm]
rfl
@[measurability]
theorem add_measure {f : α → β} (hμ : AEMeasurable f μ) (hν : AEMeasurable f ν) :
AEMeasurable f (μ + ν) :=
aemeasurable_add_measure_iff.2 ⟨hμ, hν⟩
@[measurability]
protected theorem iUnion [Countable ι] {s : ι → Set α}
(h : ∀ i, AEMeasurable f (μ.restrict (s i))) : AEMeasurable f (μ.restrict (⋃ i, s i)) :=
(sum_measure h).mono_measure <| restrict_iUnion_le
@[simp]
theorem _root_.aemeasurable_iUnion_iff [Countable ι] {s : ι → Set α} :
AEMeasurable f (μ.restrict (⋃ i, s i)) ↔ ∀ i, AEMeasurable f (μ.restrict (s i)) :=
⟨fun h _ => h.mono_measure <| restrict_mono (subset_iUnion _ _) le_rfl, AEMeasurable.iUnion⟩
@[simp]
theorem _root_.aemeasurable_union_iff {s t : Set α} :
AEMeasurable f (μ.restrict (s ∪ t)) ↔
AEMeasurable f (μ.restrict s) ∧ AEMeasurable f (μ.restrict t) := by
simp only [union_eq_iUnion, aemeasurable_iUnion_iff, Bool.forall_bool, cond, and_comm]
@[measurability]
theorem smul_measure [SMul R ℝ≥0∞] [IsScalarTower R ℝ≥0∞ ℝ≥0∞]
(h : AEMeasurable f μ) (c : R) : AEMeasurable f (c • μ) :=
⟨h.mk f, h.measurable_mk, ae_smul_measure h.ae_eq_mk c⟩
theorem comp_aemeasurable {f : α → δ} {g : δ → β} (hg : AEMeasurable g (μ.map f))
(hf : AEMeasurable f μ) : AEMeasurable (g ∘ f) μ :=
⟨hg.mk g ∘ hf.mk f, hg.measurable_mk.comp hf.measurable_mk,
(ae_eq_comp hf hg.ae_eq_mk).trans (hf.ae_eq_mk.fun_comp (mk g hg))⟩
@[fun_prop]
theorem comp_aemeasurable' {f : α → δ} {g : δ → β} (hg : AEMeasurable g (μ.map f))
(hf : AEMeasurable f μ) : AEMeasurable (fun x ↦ g (f x)) μ := comp_aemeasurable hg hf
theorem comp_measurable {f : α → δ} {g : δ → β} (hg : AEMeasurable g (μ.map f))
(hf : Measurable f) : AEMeasurable (g ∘ f) μ :=
hg.comp_aemeasurable hf.aemeasurable
theorem comp_quasiMeasurePreserving {ν : Measure δ} {f : α → δ} {g : δ → β} (hg : AEMeasurable g ν)
(hf : QuasiMeasurePreserving f μ ν) : AEMeasurable (g ∘ f) μ :=
(hg.mono' hf.absolutelyContinuous).comp_measurable hf.measurable
theorem map_map_of_aemeasurable {g : β → γ} {f : α → β} (hg : AEMeasurable g (Measure.map f μ))
(hf : AEMeasurable f μ) : (μ.map f).map g = μ.map (g ∘ f) := by
ext1 s hs
rw [map_apply_of_aemeasurable hg hs, map_apply₀ hf (hg.nullMeasurable hs),
map_apply_of_aemeasurable (hg.comp_aemeasurable hf) hs, preimage_comp]
@[fun_prop, measurability]
theorem prodMk {f : α → β} {g : α → γ} (hf : AEMeasurable f μ) (hg : AEMeasurable g μ) :
AEMeasurable (fun x => (f x, g x)) μ :=
⟨fun a => (hf.mk f a, hg.mk g a), hf.measurable_mk.prodMk hg.measurable_mk,
hf.ae_eq_mk.prodMk hg.ae_eq_mk⟩
@[deprecated (since := "2025-03-05")]
alias prod_mk := prodMk
theorem exists_ae_eq_range_subset (H : AEMeasurable f μ) {t : Set β} (ht : ∀ᵐ x ∂μ, f x ∈ t)
(h₀ : t.Nonempty) : ∃ g, Measurable g ∧ range g ⊆ t ∧ f =ᵐ[μ] g := by
classical
let s : Set α := toMeasurable μ { x | f x = H.mk f x ∧ f x ∈ t }ᶜ
let g : α → β := piecewise s (fun _ => h₀.some) (H.mk f)
refine ⟨g, ?_, ?_, ?_⟩
· exact Measurable.piecewise (measurableSet_toMeasurable _ _) measurable_const H.measurable_mk
· rintro _ ⟨x, rfl⟩
by_cases hx : x ∈ s
· simpa [g, hx] using h₀.some_mem
· simp only [g, hx, piecewise_eq_of_not_mem, not_false_iff]
contrapose! hx
apply subset_toMeasurable
simp +contextual only [hx, mem_compl_iff, mem_setOf_eq, not_and,
not_false_iff, imp_true_iff]
· have A : μ (toMeasurable μ { x | f x = H.mk f x ∧ f x ∈ t }ᶜ) = 0 := by
rw [measure_toMeasurable, ← compl_mem_ae_iff, compl_compl]
exact H.ae_eq_mk.and ht
filter_upwards [compl_mem_ae_iff.2 A] with x hx
rw [mem_compl_iff] at hx
simp only [s, g, hx, piecewise_eq_of_not_mem, not_false_iff]
contrapose! hx
apply subset_toMeasurable
simp only [hx, mem_compl_iff, mem_setOf_eq, false_and, not_false_iff]
theorem exists_measurable_nonneg {β} [Preorder β] [Zero β] {mβ : MeasurableSpace β} {f : α → β}
(hf : AEMeasurable f μ) (f_nn : ∀ᵐ t ∂μ, 0 ≤ f t) : ∃ g, Measurable g ∧ 0 ≤ g ∧ f =ᵐ[μ] g := by
obtain ⟨G, hG_meas, hG_mem, hG_ae_eq⟩ := hf.exists_ae_eq_range_subset f_nn ⟨0, le_rfl⟩
exact ⟨G, hG_meas, fun x => hG_mem (mem_range_self x), hG_ae_eq⟩
theorem subtype_mk (h : AEMeasurable f μ) {s : Set β} {hfs : ∀ x, f x ∈ s} :
AEMeasurable (codRestrict f s hfs) μ := by
nontriviality α; inhabit α
obtain ⟨g, g_meas, hg, fg⟩ : ∃ g : α → β, Measurable g ∧ range g ⊆ s ∧ f =ᵐ[μ] g :=
h.exists_ae_eq_range_subset (Eventually.of_forall hfs) ⟨_, hfs default⟩
refine ⟨codRestrict g s fun x => hg (mem_range_self _), Measurable.subtype_mk g_meas, ?_⟩
filter_upwards [fg] with x hx
simpa [Subtype.ext_iff]
end AEMeasurable
theorem aemeasurable_const' (h : ∀ᵐ (x) (y) ∂μ, f x = f y) : AEMeasurable f μ := by
rcases eq_or_ne μ 0 with (rfl | hμ)
· exact aemeasurable_zero_measure
· haveI := ae_neBot.2 hμ
rcases h.exists with ⟨x, hx⟩
exact ⟨const α (f x), measurable_const, EventuallyEq.symm hx⟩
open scoped Interval in
theorem aemeasurable_uIoc_iff [LinearOrder α] {f : α → β} {a b : α} :
(AEMeasurable f <| μ.restrict <| Ι a b) ↔
(AEMeasurable f <| μ.restrict <| Ioc a b) ∧ (AEMeasurable f <| μ.restrict <| Ioc b a) := by
rw [uIoc_eq_union, aemeasurable_union_iff]
theorem aemeasurable_iff_measurable [μ.IsComplete] : AEMeasurable f μ ↔ Measurable f :=
⟨fun h => h.nullMeasurable.measurable_of_complete, fun h => h.aemeasurable⟩
theorem MeasurableEmbedding.aemeasurable_map_iff {g : β → γ} (hf : MeasurableEmbedding f) :
AEMeasurable g (μ.map f) ↔ AEMeasurable (g ∘ f) μ := by
refine ⟨fun H => H.comp_measurable hf.measurable, ?_⟩
rintro ⟨g₁, hgm₁, heq⟩
rcases hf.exists_measurable_extend hgm₁ fun x => ⟨g x⟩ with ⟨g₂, hgm₂, rfl⟩
exact ⟨g₂, hgm₂, hf.ae_map_iff.2 heq⟩
theorem MeasurableEmbedding.aemeasurable_comp_iff {g : β → γ} (hg : MeasurableEmbedding g)
{μ : Measure α} : AEMeasurable (g ∘ f) μ ↔ AEMeasurable f μ := by
refine ⟨fun H => ?_, hg.measurable.comp_aemeasurable⟩
suffices AEMeasurable ((rangeSplitting g ∘ rangeFactorization g) ∘ f) μ by
rwa [(rightInverse_rangeSplitting hg.injective).comp_eq_id] at this
exact hg.measurable_rangeSplitting.comp_aemeasurable H.subtype_mk
theorem aemeasurable_restrict_iff_comap_subtype {s : Set α} (hs : MeasurableSet s) {μ : Measure α}
{f : α → β} : AEMeasurable f (μ.restrict s) ↔ AEMeasurable (f ∘ (↑) : s → β) (comap (↑) μ) := by
rw [← map_comap_subtype_coe hs, (MeasurableEmbedding.subtype_coe hs).aemeasurable_map_iff]
@[to_additive]
theorem aemeasurable_one [One β] : AEMeasurable (fun _ : α => (1 : β)) μ :=
measurable_one.aemeasurable
@[simp]
theorem aemeasurable_smul_measure_iff {c : ℝ≥0∞} (hc : c ≠ 0) :
AEMeasurable f (c • μ) ↔ AEMeasurable f μ :=
⟨fun h => ⟨h.mk f, h.measurable_mk, (ae_smul_measure_iff hc).1 h.ae_eq_mk⟩, fun h =>
⟨h.mk f, h.measurable_mk, (ae_smul_measure_iff hc).2 h.ae_eq_mk⟩⟩
theorem aemeasurable_of_aemeasurable_trim {α} {m m0 : MeasurableSpace α} {μ : Measure α}
(hm : m ≤ m0) {f : α → β} (hf : AEMeasurable f (μ.trim hm)) : AEMeasurable f μ :=
⟨hf.mk f, Measurable.mono hf.measurable_mk hm le_rfl, ae_eq_of_ae_eq_trim hf.ae_eq_mk⟩
theorem aemeasurable_restrict_of_measurable_subtype {s : Set α} (hs : MeasurableSet s)
| (hf : Measurable fun x : s => f x) : AEMeasurable f (μ.restrict s) :=
(aemeasurable_restrict_iff_comap_subtype hs).2 hf.aemeasurable
theorem aemeasurable_map_equiv_iff (e : α ≃ᵐ β) {f : β → γ} :
AEMeasurable f (μ.map e) ↔ AEMeasurable (f ∘ e) μ :=
e.measurableEmbedding.aemeasurable_map_iff
| Mathlib/MeasureTheory/Measure/AEMeasurable.lean | 270 | 275 |
/-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Shing Tak Lam, Yury Kudryashov
-/
import Mathlib.Algebra.MvPolynomial.Derivation
import Mathlib.Algebra.MvPolynomial.Variables
/-!
# Partial derivatives of polynomials
This file defines the notion of the formal *partial derivative* of a polynomial,
the derivative with respect to a single variable.
This derivative is not connected to the notion of derivative from analysis.
It is based purely on the polynomial exponents and coefficients.
## Main declarations
* `MvPolynomial.pderiv i p` : the partial derivative of `p` with respect to `i`, as a bundled
derivation of `MvPolynomial σ R`.
## Notation
As in other polynomial files, we typically use the notation:
+ `σ : Type*` (indexing the variables)
+ `R : Type*` `[CommRing 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`
-/
noncomputable section
universe u v
namespace MvPolynomial
open Set Function Finsupp
variable {R : Type u} {σ : Type v} {a a' a₁ a₂ : R} {s : σ →₀ ℕ}
section PDeriv
variable [CommSemiring R]
/-- `pderiv i p` is the partial derivative of `p` with respect to `i` -/
def pderiv (i : σ) : Derivation R (MvPolynomial σ R) (MvPolynomial σ R) :=
letI := Classical.decEq σ
mkDerivation R <| Pi.single i 1
theorem pderiv_def [DecidableEq σ] (i : σ) : pderiv i = mkDerivation R (Pi.single i 1) := by
unfold pderiv; congr!
| @[simp]
theorem pderiv_monomial {i : σ} :
| Mathlib/Algebra/MvPolynomial/PDeriv.lean | 64 | 65 |
/-
Copyright (c) 2018 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro
-/
import Mathlib.Algebra.Group.Action.Pi
import Mathlib.Algebra.Order.AbsoluteValue.Basic
import Mathlib.Algebra.Order.Field.Basic
import Mathlib.Algebra.Order.Group.MinMax
import Mathlib.Algebra.Ring.Pi
import Mathlib.Data.Setoid.Basic
import Mathlib.GroupTheory.GroupAction.Ring
import Mathlib.Tactic.GCongr
/-!
# Cauchy sequences
A basic theory of Cauchy sequences, used in the construction of the reals and p-adic numbers. Where
applicable, lemmas that will be reused in other contexts have been stated in extra generality.
There are other "versions" of Cauchyness in the library, in particular Cauchy filters in topology.
This is a concrete implementation that is useful for simplicity and computability reasons.
## Important definitions
* `IsCauSeq`: a predicate that says `f : ℕ → β` is Cauchy.
* `CauSeq`: the type of Cauchy sequences valued in type `β` with respect to an absolute value
function `abv`.
## Tags
sequence, cauchy, abs val, absolute value
-/
assert_not_exists Finset Module Submonoid FloorRing Module
variable {α β : Type*}
open IsAbsoluteValue
section
variable [Field α] [LinearOrder α] [IsStrictOrderedRing α] [Ring β]
(abv : β → α) [IsAbsoluteValue abv]
theorem rat_add_continuous_lemma {ε : α} (ε0 : 0 < ε) :
∃ δ > 0, ∀ {a₁ a₂ b₁ b₂ : β}, abv (a₁ - b₁) < δ → abv (a₂ - b₂) < δ →
abv (a₁ + a₂ - (b₁ + b₂)) < ε :=
⟨ε / 2, half_pos ε0, fun {a₁ a₂ b₁ b₂} h₁ h₂ => by
simpa [add_halves, sub_eq_add_neg, add_comm, add_left_comm, add_assoc] using
lt_of_le_of_lt (abv_add abv _ _) (add_lt_add h₁ h₂)⟩
theorem rat_mul_continuous_lemma {ε K₁ K₂ : α} (ε0 : 0 < ε) :
∃ δ > 0, ∀ {a₁ a₂ b₁ b₂ : β}, abv a₁ < K₁ → abv b₂ < K₂ → abv (a₁ - b₁) < δ →
abv (a₂ - b₂) < δ → abv (a₁ * a₂ - b₁ * b₂) < ε := by
have K0 : (0 : α) < max 1 (max K₁ K₂) := lt_of_lt_of_le zero_lt_one (le_max_left _ _)
have εK := div_pos (half_pos ε0) K0
refine ⟨_, εK, fun {a₁ a₂ b₁ b₂} ha₁ hb₂ h₁ h₂ => ?_⟩
replace ha₁ := lt_of_lt_of_le ha₁ (le_trans (le_max_left _ K₂) (le_max_right 1 _))
replace hb₂ := lt_of_lt_of_le hb₂ (le_trans (le_max_right K₁ _) (le_max_right 1 _))
set M := max 1 (max K₁ K₂)
have : abv (a₁ - b₁) * abv b₂ + abv (a₂ - b₂) * abv a₁ < ε / 2 / M * M + ε / 2 / M * M := by
gcongr
rw [← abv_mul abv, mul_comm, div_mul_cancel₀ _ (ne_of_gt K0), ← abv_mul abv, add_halves] at this
simpa [sub_eq_add_neg, mul_add, add_mul, add_left_comm] using
lt_of_le_of_lt (abv_add abv _ _) this
theorem rat_inv_continuous_lemma {β : Type*} [DivisionRing β] (abv : β → α) [IsAbsoluteValue abv]
{ε K : α} (ε0 : 0 < ε) (K0 : 0 < K) :
∃ δ > 0, ∀ {a b : β}, K ≤ abv a → K ≤ abv b → abv (a - b) < δ → abv (a⁻¹ - b⁻¹) < ε := by
refine ⟨K * ε * K, mul_pos (mul_pos K0 ε0) K0, fun {a b} ha hb h => ?_⟩
have a0 := K0.trans_le ha
have b0 := K0.trans_le hb
rw [inv_sub_inv' ((abv_pos abv).1 a0) ((abv_pos abv).1 b0), abv_mul abv, abv_mul abv, abv_inv abv,
abv_inv abv, abv_sub abv]
refine lt_of_mul_lt_mul_left (lt_of_mul_lt_mul_right ?_ b0.le) a0.le
rw [mul_assoc, inv_mul_cancel_right₀ b0.ne', ← mul_assoc, mul_inv_cancel₀ a0.ne', one_mul]
refine h.trans_le ?_
gcongr
end
/-- A sequence is Cauchy if the distance between its entries tends to zero. -/
@[nolint unusedArguments]
def IsCauSeq {α : Type*} [Field α] [LinearOrder α] [IsStrictOrderedRing α]
{β : Type*} [Ring β] (abv : β → α) (f : ℕ → β) :
Prop :=
∀ ε > 0, ∃ i, ∀ j ≥ i, abv (f j - f i) < ε
namespace IsCauSeq
variable [Field α] [LinearOrder α] [IsStrictOrderedRing α] [Ring β]
{abv : β → α} [IsAbsoluteValue abv] {f g : ℕ → β}
-- see Note [nolint_ge]
--@[nolint ge_or_gt] -- Porting note: restore attribute
theorem cauchy₂ (hf : IsCauSeq abv f) {ε : α} (ε0 : 0 < ε) :
∃ i, ∀ j ≥ i, ∀ k ≥ i, abv (f j - f k) < ε := by
refine (hf _ (half_pos ε0)).imp fun i hi j ij k ik => ?_
rw [← add_halves ε]
refine lt_of_le_of_lt (abv_sub_le abv _ _ _) (add_lt_add (hi _ ij) ?_)
rw [abv_sub abv]; exact hi _ ik
theorem cauchy₃ (hf : IsCauSeq abv f) {ε : α} (ε0 : 0 < ε) :
∃ i, ∀ j ≥ i, ∀ k ≥ j, abv (f k - f j) < ε :=
let ⟨i, H⟩ := hf.cauchy₂ ε0
⟨i, fun _ ij _ jk => H _ (le_trans ij jk) _ ij⟩
lemma bounded (hf : IsCauSeq abv f) : ∃ r, ∀ i, abv (f i) < r := by
obtain ⟨i, h⟩ := hf _ zero_lt_one
set R : ℕ → α := @Nat.rec (fun _ => α) (abv (f 0)) fun i c => max c (abv (f i.succ)) with hR
have : ∀ i, ∀ j ≤ i, abv (f j) ≤ R i := by
refine Nat.rec (by simp [hR]) ?_
rintro i hi j (rfl | hj)
· simp [R]
· exact (hi j hj).trans (le_max_left _ _)
refine ⟨R i + 1, fun j ↦ ?_⟩
obtain hji | hij := le_total j i
· exact (this i _ hji).trans_lt (lt_add_one _)
· simpa using (abv_add abv _ _).trans_lt <| add_lt_add_of_le_of_lt (this i _ le_rfl) (h _ hij)
lemma bounded' (hf : IsCauSeq abv f) (x : α) : ∃ r > x, ∀ i, abv (f i) < r :=
let ⟨r, h⟩ := hf.bounded
⟨max r (x + 1), (lt_add_one x).trans_le (le_max_right _ _),
fun i ↦ (h i).trans_le (le_max_left _ _)⟩
lemma const (x : β) : IsCauSeq abv fun _ ↦ x :=
fun ε ε0 ↦ ⟨0, fun j _ => by simpa [abv_zero] using ε0⟩
theorem add (hf : IsCauSeq abv f) (hg : IsCauSeq abv g) : IsCauSeq abv (f + g) := fun _ ε0 =>
let ⟨_, δ0, Hδ⟩ := rat_add_continuous_lemma abv ε0
let ⟨i, H⟩ := exists_forall_ge_and (hf.cauchy₃ δ0) (hg.cauchy₃ δ0)
⟨i, fun _ ij =>
let ⟨H₁, H₂⟩ := H _ le_rfl
Hδ (H₁ _ ij) (H₂ _ ij)⟩
lemma mul (hf : IsCauSeq abv f) (hg : IsCauSeq abv g) : IsCauSeq abv (f * g) := fun _ ε0 =>
let ⟨_, _, hF⟩ := hf.bounded' 0
let ⟨_, _, hG⟩ := hg.bounded' 0
let ⟨_, δ0, Hδ⟩ := rat_mul_continuous_lemma abv ε0
let ⟨i, H⟩ := exists_forall_ge_and (hf.cauchy₃ δ0) (hg.cauchy₃ δ0)
⟨i, fun j ij =>
let ⟨H₁, H₂⟩ := H _ le_rfl
Hδ (hF j) (hG i) (H₁ _ ij) (H₂ _ ij)⟩
@[simp] lemma _root_.isCauSeq_neg : IsCauSeq abv (-f) ↔ IsCauSeq abv f := by
simp only [IsCauSeq, Pi.neg_apply, ← neg_sub', abv_neg]
protected alias ⟨of_neg, neg⟩ := isCauSeq_neg
end IsCauSeq
/-- `CauSeq β abv` is the type of `β`-valued Cauchy sequences, with respect to the absolute value
function `abv`. -/
def CauSeq {α : Type*} [Field α] [LinearOrder α] [IsStrictOrderedRing α]
(β : Type*) [Ring β] (abv : β → α) : Type _ :=
{ f : ℕ → β // IsCauSeq abv f }
namespace CauSeq
variable [Field α] [LinearOrder α] [IsStrictOrderedRing α]
section Ring
variable [Ring β] {abv : β → α}
instance : CoeFun (CauSeq β abv) fun _ => ℕ → β :=
⟨Subtype.val⟩
@[ext]
theorem ext {f g : CauSeq β abv} (h : ∀ i, f i = g i) : f = g := Subtype.eq (funext h)
theorem isCauSeq (f : CauSeq β abv) : IsCauSeq abv f :=
f.2
theorem cauchy (f : CauSeq β abv) : ∀ {ε}, 0 < ε → ∃ i, ∀ j ≥ i, abv (f j - f i) < ε := @f.2
/-- Given a Cauchy sequence `f`, create a Cauchy sequence from a sequence `g` with
the same values as `f`. -/
def ofEq (f : CauSeq β abv) (g : ℕ → β) (e : ∀ i, f i = g i) : CauSeq β abv :=
⟨g, fun ε => by rw [show g = f from (funext e).symm]; exact f.cauchy⟩
variable [IsAbsoluteValue abv]
-- see Note [nolint_ge]
-- @[nolint ge_or_gt] -- Porting note: restore attribute
theorem cauchy₂ (f : CauSeq β abv) {ε} :
0 < ε → ∃ i, ∀ j ≥ i, ∀ k ≥ i, abv (f j - f k) < ε :=
f.2.cauchy₂
theorem cauchy₃ (f : CauSeq β abv) {ε} : 0 < ε → ∃ i, ∀ j ≥ i, ∀ k ≥ j, abv (f k - f j) < ε :=
f.2.cauchy₃
theorem bounded (f : CauSeq β abv) : ∃ r, ∀ i, abv (f i) < r := f.2.bounded
theorem bounded' (f : CauSeq β abv) (x : α) : ∃ r > x, ∀ i, abv (f i) < r := f.2.bounded' x
instance : Add (CauSeq β abv) :=
⟨fun f g => ⟨f + g, f.2.add g.2⟩⟩
@[simp, norm_cast]
theorem coe_add (f g : CauSeq β abv) : ⇑(f + g) = (f : ℕ → β) + g :=
rfl
@[simp, norm_cast]
theorem add_apply (f g : CauSeq β abv) (i : ℕ) : (f + g) i = f i + g i :=
rfl
variable (abv) in
/-- The constant Cauchy sequence. -/
def const (x : β) : CauSeq β abv := ⟨fun _ ↦ x, IsCauSeq.const _⟩
/-- The constant Cauchy sequence -/
local notation "const" => const abv
@[simp, norm_cast]
theorem coe_const (x : β) : (const x : ℕ → β) = Function.const ℕ x :=
rfl
@[simp, norm_cast]
theorem const_apply (x : β) (i : ℕ) : (const x : ℕ → β) i = x :=
rfl
theorem const_inj {x y : β} : (const x : CauSeq β abv) = const y ↔ x = y :=
⟨fun h => congr_arg (fun f : CauSeq β abv => (f : ℕ → β) 0) h, congr_arg _⟩
instance : Zero (CauSeq β abv) :=
⟨const 0⟩
instance : One (CauSeq β abv) :=
⟨const 1⟩
instance : Inhabited (CauSeq β abv) :=
⟨0⟩
@[simp, norm_cast]
theorem coe_zero : ⇑(0 : CauSeq β abv) = 0 :=
rfl
@[simp, norm_cast]
theorem coe_one : ⇑(1 : CauSeq β abv) = 1 :=
rfl
@[simp, norm_cast]
theorem zero_apply (i) : (0 : CauSeq β abv) i = 0 :=
rfl
@[simp, norm_cast]
theorem one_apply (i) : (1 : CauSeq β abv) i = 1 :=
rfl
@[simp]
theorem const_zero : const 0 = 0 :=
rfl
@[simp]
theorem const_one : const 1 = 1 :=
rfl
theorem const_add (x y : β) : const (x + y) = const x + const y :=
rfl
instance : Mul (CauSeq β abv) := ⟨fun f g ↦ ⟨f * g, f.2.mul g.2⟩⟩
@[simp, norm_cast]
theorem coe_mul (f g : CauSeq β abv) : ⇑(f * g) = (f : ℕ → β) * g :=
rfl
@[simp, norm_cast]
theorem mul_apply (f g : CauSeq β abv) (i : ℕ) : (f * g) i = f i * g i :=
rfl
theorem const_mul (x y : β) : const (x * y) = const x * const y :=
rfl
instance : Neg (CauSeq β abv) := ⟨fun f ↦ ⟨-f, f.2.neg⟩⟩
@[simp, norm_cast]
theorem coe_neg (f : CauSeq β abv) : ⇑(-f) = -f :=
rfl
@[simp, norm_cast]
theorem neg_apply (f : CauSeq β abv) (i) : (-f) i = -f i :=
rfl
theorem const_neg (x : β) : const (-x) = -const x :=
rfl
instance : Sub (CauSeq β abv) :=
⟨fun f g => ofEq (f + -g) (fun x => f x - g x) fun i => by simp [sub_eq_add_neg]⟩
@[simp, norm_cast]
theorem coe_sub (f g : CauSeq β abv) : ⇑(f - g) = (f : ℕ → β) - g :=
rfl
@[simp, norm_cast]
theorem sub_apply (f g : CauSeq β abv) (i : ℕ) : (f - g) i = f i - g i :=
rfl
theorem const_sub (x y : β) : const (x - y) = const x - const y :=
rfl
section SMul
variable {G : Type*} [SMul G β] [IsScalarTower G β β]
instance : SMul G (CauSeq β abv) :=
⟨fun a f => (ofEq (const (a • (1 : β)) * f) (a • (f : ℕ → β))) fun _ => smul_one_mul _ _⟩
@[simp, norm_cast]
theorem coe_smul (a : G) (f : CauSeq β abv) : ⇑(a • f) = a • (f : ℕ → β) :=
rfl
@[simp, norm_cast]
theorem smul_apply (a : G) (f : CauSeq β abv) (i : ℕ) : (a • f) i = a • f i :=
rfl
theorem const_smul (a : G) (x : β) : const (a • x) = a • const x :=
rfl
instance : IsScalarTower G (CauSeq β abv) (CauSeq β abv) :=
⟨fun a f g => Subtype.ext <| smul_assoc a (f : ℕ → β) (g : ℕ → β)⟩
end SMul
instance addGroup : AddGroup (CauSeq β abv) :=
Function.Injective.addGroup Subtype.val Subtype.val_injective rfl coe_add coe_neg coe_sub
(fun _ _ => coe_smul _ _) fun _ _ => coe_smul _ _
instance instNatCast : NatCast (CauSeq β abv) := ⟨fun n => const n⟩
instance instIntCast : IntCast (CauSeq β abv) := ⟨fun n => const n⟩
instance addGroupWithOne : AddGroupWithOne (CauSeq β abv) :=
Function.Injective.addGroupWithOne Subtype.val Subtype.val_injective rfl rfl
coe_add coe_neg coe_sub
(by intros; rfl)
(by intros; rfl)
(by intros; rfl)
(by intros; rfl)
instance : Pow (CauSeq β abv) ℕ :=
⟨fun f n =>
(ofEq (npowRec n f) fun i => f i ^ n) <| by induction n <;> simp [*, npowRec, pow_succ]⟩
@[simp, norm_cast]
theorem coe_pow (f : CauSeq β abv) (n : ℕ) : ⇑(f ^ n) = (f : ℕ → β) ^ n :=
rfl
@[simp, norm_cast]
theorem pow_apply (f : CauSeq β abv) (n i : ℕ) : (f ^ n) i = f i ^ n :=
rfl
theorem const_pow (x : β) (n : ℕ) : const (x ^ n) = const x ^ n :=
rfl
instance ring : Ring (CauSeq β abv) :=
Function.Injective.ring Subtype.val Subtype.val_injective rfl rfl coe_add coe_mul coe_neg coe_sub
(fun _ _ => coe_smul _ _) (fun _ _ => coe_smul _ _) coe_pow (fun _ => rfl) fun _ => rfl
instance {β : Type*} [CommRing β] {abv : β → α} [IsAbsoluteValue abv] : CommRing (CauSeq β abv) :=
{ CauSeq.ring with
mul_comm := fun a b => ext fun n => by simp [mul_left_comm, mul_comm] }
/-- `LimZero f` holds when `f` approaches 0. -/
def LimZero {abv : β → α} (f : CauSeq β abv) : Prop :=
∀ ε > 0, ∃ i, ∀ j ≥ i, abv (f j) < ε
theorem add_limZero {f g : CauSeq β abv} (hf : LimZero f) (hg : LimZero g) : LimZero (f + g)
| ε, ε0 =>
(exists_forall_ge_and (hf _ <| half_pos ε0) (hg _ <| half_pos ε0)).imp fun _ H j ij => by
let ⟨H₁, H₂⟩ := H _ ij
simpa [add_halves ε] using lt_of_le_of_lt (abv_add abv _ _) (add_lt_add H₁ H₂)
theorem mul_limZero_right (f : CauSeq β abv) {g} (hg : LimZero g) : LimZero (f * g)
| ε, ε0 =>
let ⟨F, F0, hF⟩ := f.bounded' 0
(hg _ <| div_pos ε0 F0).imp fun _ H j ij => by
have := mul_lt_mul' (le_of_lt <| hF j) (H _ ij) (abv_nonneg abv _) F0
rwa [mul_comm F, div_mul_cancel₀ _ (ne_of_gt F0), ← abv_mul] at this
theorem mul_limZero_left {f} (g : CauSeq β abv) (hg : LimZero f) : LimZero (f * g)
| ε, ε0 =>
let ⟨G, G0, hG⟩ := g.bounded' 0
(hg _ <| div_pos ε0 G0).imp fun _ H j ij => by
have := mul_lt_mul'' (H _ ij) (hG j) (abv_nonneg abv _) (abv_nonneg abv _)
rwa [div_mul_cancel₀ _ (ne_of_gt G0), ← abv_mul] at this
theorem neg_limZero {f : CauSeq β abv} (hf : LimZero f) : LimZero (-f) := by
rw [← neg_one_mul f]
exact mul_limZero_right _ hf
theorem sub_limZero {f g : CauSeq β abv} (hf : LimZero f) (hg : LimZero g) : LimZero (f - g) := by
simpa only [sub_eq_add_neg] using add_limZero hf (neg_limZero hg)
theorem limZero_sub_rev {f g : CauSeq β abv} (hfg : LimZero (f - g)) : LimZero (g - f) := by
simpa using neg_limZero hfg
theorem zero_limZero : LimZero (0 : CauSeq β abv)
| ε, ε0 => ⟨0, fun j _ => by simpa [abv_zero abv] using ε0⟩
theorem const_limZero {x : β} : LimZero (const x) ↔ x = 0 :=
⟨fun H =>
(abv_eq_zero abv).1 <|
(eq_of_le_of_forall_lt_imp_le_of_dense (abv_nonneg abv _)) fun _ ε0 =>
let ⟨_, hi⟩ := H _ ε0
le_of_lt <| hi _ le_rfl,
fun e => e.symm ▸ zero_limZero⟩
instance equiv : Setoid (CauSeq β abv) :=
⟨fun f g => LimZero (f - g),
⟨fun f => by simp [zero_limZero],
fun f ε hε => by simpa using neg_limZero f ε hε,
fun fg gh => by simpa using add_limZero fg gh⟩⟩
theorem add_equiv_add {f1 f2 g1 g2 : CauSeq β abv} (hf : f1 ≈ f2) (hg : g1 ≈ g2) :
f1 + g1 ≈ f2 + g2 := by simpa only [← add_sub_add_comm] using add_limZero hf hg
theorem neg_equiv_neg {f g : CauSeq β abv} (hf : f ≈ g) : -f ≈ -g := by
simpa only [neg_sub'] using neg_limZero hf
theorem sub_equiv_sub {f1 f2 g1 g2 : CauSeq β abv} (hf : f1 ≈ f2) (hg : g1 ≈ g2) :
f1 - g1 ≈ f2 - g2 := by simpa only [sub_eq_add_neg] using add_equiv_add hf (neg_equiv_neg hg)
theorem equiv_def₃ {f g : CauSeq β abv} (h : f ≈ g) {ε : α} (ε0 : 0 < ε) :
∃ i, ∀ j ≥ i, ∀ k ≥ j, abv (f k - g j) < ε :=
(exists_forall_ge_and (h _ <| half_pos ε0) (f.cauchy₃ <| half_pos ε0)).imp fun _ H j ij k jk => by
let ⟨h₁, h₂⟩ := H _ ij
have := lt_of_le_of_lt (abv_add abv (f j - g j) _) (add_lt_add h₁ (h₂ _ jk))
rwa [sub_add_sub_cancel', add_halves] at this
theorem limZero_congr {f g : CauSeq β abv} (h : f ≈ g) : LimZero f ↔ LimZero g :=
⟨fun l => by simpa using add_limZero (Setoid.symm h) l, fun l => by simpa using add_limZero h l⟩
theorem abv_pos_of_not_limZero {f : CauSeq β abv} (hf : ¬LimZero f) :
∃ K > 0, ∃ i, ∀ j ≥ i, K ≤ abv (f j) := by
haveI := Classical.propDecidable
by_contra nk
refine hf fun ε ε0 => ?_
simp? [not_forall] at nk says
simp only [gt_iff_lt, ge_iff_le, not_exists, not_and, not_forall, Classical.not_imp,
not_le] at nk
obtain ⟨i, hi⟩ := f.cauchy₃ (half_pos ε0)
rcases nk _ (half_pos ε0) i with ⟨j, ij, hj⟩
refine ⟨j, fun k jk => ?_⟩
have := lt_of_le_of_lt (abv_add abv _ _) (add_lt_add (hi j ij k jk) hj)
rwa [sub_add_cancel, add_halves] at this
theorem of_near (f : ℕ → β) (g : CauSeq β abv) (h : ∀ ε > 0, ∃ i, ∀ j ≥ i, abv (f j - g j) < ε) :
IsCauSeq abv f
| ε, ε0 =>
let ⟨i, hi⟩ := exists_forall_ge_and (h _ (half_pos <| half_pos ε0)) (g.cauchy₃ <| half_pos ε0)
⟨i, fun j ij => by
obtain ⟨h₁, h₂⟩ := hi _ le_rfl; rw [abv_sub abv] at h₁
have := lt_of_le_of_lt (abv_add abv _ _) (add_lt_add (hi _ ij).1 h₁)
have := lt_of_le_of_lt (abv_add abv _ _) (add_lt_add this (h₂ _ ij))
rwa [add_halves, add_halves, add_right_comm, sub_add_sub_cancel, sub_add_sub_cancel] at this⟩
theorem not_limZero_of_not_congr_zero {f : CauSeq _ abv} (hf : ¬f ≈ 0) : ¬LimZero f := by
intro h
have : LimZero (f - 0) := by simp [h]
exact hf this
theorem mul_equiv_zero (g : CauSeq _ abv) {f : CauSeq _ abv} (hf : f ≈ 0) : g * f ≈ 0 :=
have : LimZero (f - 0) := hf
have : LimZero (g * f) := mul_limZero_right _ <| by simpa
show LimZero (g * f - 0) by simpa
theorem mul_equiv_zero' (g : CauSeq _ abv) {f : CauSeq _ abv} (hf : f ≈ 0) : f * g ≈ 0 :=
have : LimZero (f - 0) := hf
have : LimZero (f * g) := mul_limZero_left _ <| by simpa
show LimZero (f * g - 0) by simpa
theorem mul_not_equiv_zero {f g : CauSeq _ abv} (hf : ¬f ≈ 0) (hg : ¬g ≈ 0) : ¬f * g ≈ 0 :=
fun (this : LimZero (f * g - 0)) => by
have hlz : LimZero (f * g) := by simpa
have hf' : ¬LimZero f := by simpa using show ¬LimZero (f - 0) from hf
have hg' : ¬LimZero g := by simpa using show ¬LimZero (g - 0) from hg
rcases abv_pos_of_not_limZero hf' with ⟨a1, ha1, N1, hN1⟩
rcases abv_pos_of_not_limZero hg' with ⟨a2, ha2, N2, hN2⟩
have : 0 < a1 * a2 := mul_pos ha1 ha2
obtain ⟨N, hN⟩ := hlz _ this
let i := max N (max N1 N2)
have hN' := hN i (le_max_left _ _)
have hN1' := hN1 i (le_trans (le_max_left _ _) (le_max_right _ _))
have hN1' := hN2 i (le_trans (le_max_right _ _) (le_max_right _ _))
apply not_le_of_lt hN'
change _ ≤ abv (_ * _)
rw [abv_mul abv]
gcongr
theorem const_equiv {x y : β} : const x ≈ const y ↔ x = y :=
show LimZero _ ↔ _ by rw [← const_sub, const_limZero, sub_eq_zero]
theorem mul_equiv_mul {f1 f2 g1 g2 : CauSeq β abv} (hf : f1 ≈ f2) (hg : g1 ≈ g2) :
f1 * g1 ≈ f2 * g2 := by
simpa only [mul_sub, sub_mul, sub_add_sub_cancel]
using add_limZero (mul_limZero_left g1 hf) (mul_limZero_right f2 hg)
theorem smul_equiv_smul {G : Type*} [SMul G β] [IsScalarTower G β β] {f1 f2 : CauSeq β abv} (c : G)
(hf : f1 ≈ f2) : c • f1 ≈ c • f2 := by
simpa [const_smul, smul_one_mul _ _] using
mul_equiv_mul (const_equiv.mpr <| Eq.refl <| c • (1 : β)) hf
theorem pow_equiv_pow {f1 f2 : CauSeq β abv} (hf : f1 ≈ f2) (n : ℕ) : f1 ^ n ≈ f2 ^ n := by
induction n with
| zero => simp only [pow_zero, Setoid.refl]
| succ n ih => simpa only [pow_succ'] using mul_equiv_mul hf ih
end Ring
section IsDomain
variable [Ring β] [IsDomain β] (abv : β → α) [IsAbsoluteValue abv]
theorem one_not_equiv_zero : ¬const abv 1 ≈ const abv 0 := fun h =>
have : ∀ ε > 0, ∃ i, ∀ k, i ≤ k → abv (1 - 0) < ε := h
have h1 : abv 1 ≤ 0 :=
le_of_not_gt fun h2 : 0 < abv 1 =>
(Exists.elim (this _ h2)) fun i hi => lt_irrefl (abv 1) <| by simpa using hi _ le_rfl
have h2 : 0 ≤ abv 1 := abv_nonneg abv _
have : abv 1 = 0 := le_antisymm h1 h2
have : (1 : β) = 0 := (abv_eq_zero abv).mp this
absurd this one_ne_zero
end IsDomain
section DivisionRing
variable [DivisionRing β] {abv : β → α} [IsAbsoluteValue abv]
theorem inv_aux {f : CauSeq β abv} (hf : ¬LimZero f) :
∀ ε > 0, ∃ i, ∀ j ≥ i, abv ((f j)⁻¹ - (f i)⁻¹) < ε
| _, ε0 =>
let ⟨_, K0, HK⟩ := abv_pos_of_not_limZero hf
let ⟨_, δ0, Hδ⟩ := rat_inv_continuous_lemma abv ε0 K0
let ⟨i, H⟩ := exists_forall_ge_and HK (f.cauchy₃ δ0)
⟨i, fun _ ij =>
let ⟨iK, H'⟩ := H _ le_rfl
Hδ (H _ ij).1 iK (H' _ ij)⟩
/-- Given a Cauchy sequence `f` with nonzero limit, create a Cauchy sequence with values equal to
the inverses of the values of `f`. -/
def inv (f : CauSeq β abv) (hf : ¬LimZero f) : CauSeq β abv :=
⟨_, inv_aux hf⟩
@[simp, norm_cast]
theorem coe_inv {f : CauSeq β abv} (hf) : ⇑(inv f hf) = (f : ℕ → β)⁻¹ :=
rfl
@[simp, norm_cast]
theorem inv_apply {f : CauSeq β abv} (hf i) : inv f hf i = (f i)⁻¹ :=
rfl
theorem inv_mul_cancel {f : CauSeq β abv} (hf) : inv f hf * f ≈ 1 := fun ε ε0 =>
let ⟨K, K0, i, H⟩ := abv_pos_of_not_limZero hf
⟨i, fun j ij => by simpa [(abv_pos abv).1 (lt_of_lt_of_le K0 (H _ ij)), abv_zero abv] using ε0⟩
theorem mul_inv_cancel {f : CauSeq β abv} (hf) : f * inv f hf ≈ 1 := fun ε ε0 =>
let ⟨K, K0, i, H⟩ := abv_pos_of_not_limZero hf
⟨i, fun j ij => by simpa [(abv_pos abv).1 (lt_of_lt_of_le K0 (H _ ij)), abv_zero abv] using ε0⟩
theorem const_inv {x : β} (hx : x ≠ 0) :
const abv x⁻¹ = inv (const abv x) (by rwa [const_limZero]) :=
rfl
end DivisionRing
section Abs
/-- The constant Cauchy sequence -/
local notation "const" => const abs
/-- The entries of a positive Cauchy sequence eventually have a positive lower bound. -/
def Pos (f : CauSeq α abs) : Prop :=
∃ K > 0, ∃ i, ∀ j ≥ i, K ≤ f j
theorem not_limZero_of_pos {f : CauSeq α abs} : Pos f → ¬LimZero f
| ⟨_, F0, hF⟩, H =>
let ⟨_, h⟩ := exists_forall_ge_and hF (H _ F0)
let ⟨h₁, h₂⟩ := h _ le_rfl
not_lt_of_le h₁ (abs_lt.1 h₂).2
theorem const_pos {x : α} : Pos (const x) ↔ 0 < x :=
⟨fun ⟨_, K0, _, h⟩ => lt_of_lt_of_le K0 (h _ le_rfl), fun h => ⟨x, h, 0, fun _ _ => le_rfl⟩⟩
theorem add_pos {f g : CauSeq α abs} : Pos f → Pos g → Pos (f + g)
| ⟨_, F0, hF⟩, ⟨_, G0, hG⟩ =>
let ⟨i, h⟩ := exists_forall_ge_and hF hG
⟨_, _root_.add_pos F0 G0, i, fun _ ij =>
let ⟨h₁, h₂⟩ := h _ ij
add_le_add h₁ h₂⟩
theorem pos_add_limZero {f g : CauSeq α abs} : Pos f → LimZero g → Pos (f + g)
| ⟨F, F0, hF⟩, H =>
let ⟨i, h⟩ := exists_forall_ge_and hF (H _ (half_pos F0))
⟨_, half_pos F0, i, fun j ij => by
obtain ⟨h₁, h₂⟩ := h j ij
have := add_le_add h₁ (le_of_lt (abs_lt.1 h₂).1)
rwa [← sub_eq_add_neg, sub_self_div_two] at this⟩
protected theorem mul_pos {f g : CauSeq α abs} : Pos f → Pos g → Pos (f * g)
| ⟨_, F0, hF⟩, ⟨_, G0, hG⟩ =>
let ⟨i, h⟩ := exists_forall_ge_and hF hG
⟨_, mul_pos F0 G0, i, fun _ ij =>
let ⟨h₁, h₂⟩ := h _ ij
mul_le_mul h₁ h₂ (le_of_lt G0) (le_trans (le_of_lt F0) h₁)⟩
theorem trichotomy (f : CauSeq α abs) : Pos f ∨ LimZero f ∨ Pos (-f) := by
rcases Classical.em (LimZero f) with h | h <;> simp [*]
rcases abv_pos_of_not_limZero h with ⟨K, K0, hK⟩
rcases exists_forall_ge_and hK (f.cauchy₃ K0) with ⟨i, hi⟩
refine (le_total 0 (f i)).imp ?_ ?_ <;>
refine fun h => ⟨K, K0, i, fun j ij => ?_⟩ <;>
have := (hi _ ij).1 <;>
obtain ⟨h₁, h₂⟩ := hi _ le_rfl
· rwa [abs_of_nonneg] at this
rw [abs_of_nonneg h] at h₁
exact
(le_add_iff_nonneg_right _).1
(le_trans h₁ <| neg_le_sub_iff_le_add'.1 <| le_of_lt (abs_lt.1 <| h₂ _ ij).1)
· rwa [abs_of_nonpos] at this
rw [abs_of_nonpos h] at h₁
rw [← sub_le_sub_iff_right, zero_sub]
exact le_trans (le_of_lt (abs_lt.1 <| h₂ _ ij).2) h₁
instance : LT (CauSeq α abs) :=
⟨fun f g => Pos (g - f)⟩
instance : LE (CauSeq α abs) :=
⟨fun f g => f < g ∨ f ≈ g⟩
theorem lt_of_lt_of_eq {f g h : CauSeq α abs} (fg : f < g) (gh : g ≈ h) : f < h :=
show Pos (h - f) by
convert pos_add_limZero fg (neg_limZero gh) using 1
simp
theorem lt_of_eq_of_lt {f g h : CauSeq α abs} (fg : f ≈ g) (gh : g < h) : f < h := by
have := pos_add_limZero gh (neg_limZero fg)
rwa [← sub_eq_add_neg, sub_sub_sub_cancel_right] at this
theorem lt_trans {f g h : CauSeq α abs} (fg : f < g) (gh : g < h) : f < h :=
show Pos (h - f) by
convert add_pos fg gh using 1
simp
theorem lt_irrefl {f : CauSeq α abs} : ¬f < f
| h => not_limZero_of_pos h (by simp [zero_limZero])
theorem le_of_eq_of_le {f g h : CauSeq α abs} (hfg : f ≈ g) (hgh : g ≤ h) : f ≤ h :=
hgh.elim (Or.inl ∘ CauSeq.lt_of_eq_of_lt hfg) (Or.inr ∘ Setoid.trans hfg)
theorem le_of_le_of_eq {f g h : CauSeq α abs} (hfg : f ≤ g) (hgh : g ≈ h) : f ≤ h :=
hfg.elim (fun h => Or.inl (CauSeq.lt_of_lt_of_eq h hgh)) fun h => Or.inr (Setoid.trans h hgh)
instance : Preorder (CauSeq α abs) where
lt := (· < ·)
le f g := f < g ∨ f ≈ g
le_refl _ := Or.inr (Setoid.refl _)
le_trans _ _ _ fg gh :=
match fg, gh with
| Or.inl fg, Or.inl gh => Or.inl <| lt_trans fg gh
| Or.inl fg, Or.inr gh => Or.inl <| lt_of_lt_of_eq fg gh
| Or.inr fg, Or.inl gh => Or.inl <| lt_of_eq_of_lt fg gh
| Or.inr fg, Or.inr gh => Or.inr <| Setoid.trans fg gh
lt_iff_le_not_le _ _ :=
⟨fun h => ⟨Or.inl h, not_or_intro (mt (lt_trans h) lt_irrefl) (not_limZero_of_pos h)⟩,
fun ⟨h₁, h₂⟩ => h₁.resolve_right (mt (fun h => Or.inr (Setoid.symm h)) h₂)⟩
theorem le_antisymm {f g : CauSeq α abs} (fg : f ≤ g) (gf : g ≤ f) : f ≈ g :=
fg.resolve_left (not_lt_of_le gf)
theorem lt_total (f g : CauSeq α abs) : f < g ∨ f ≈ g ∨ g < f :=
(trichotomy (g - f)).imp_right fun h =>
h.imp (fun h => Setoid.symm h) fun h => by rwa [neg_sub] at h
theorem le_total (f g : CauSeq α abs) : f ≤ g ∨ g ≤ f :=
(or_assoc.2 (lt_total f g)).imp_right Or.inl
theorem const_lt {x y : α} : const x < const y ↔ x < y :=
show Pos _ ↔ _ by rw [← const_sub, const_pos, sub_pos]
theorem const_le {x y : α} : const x ≤ const y ↔ x ≤ y := by
rw [le_iff_lt_or_eq]; exact or_congr const_lt const_equiv
theorem le_of_exists {f g : CauSeq α abs} (h : ∃ i, ∀ j ≥ i, f j ≤ g j) : f ≤ g :=
let ⟨i, hi⟩ := h
(or_assoc.2 (CauSeq.lt_total f g)).elim id fun hgf =>
False.elim
(let ⟨_, hK0, j, hKj⟩ := hgf
not_lt_of_ge (hi (max i j) (le_max_left _ _))
(sub_pos.1 (lt_of_lt_of_le hK0 (hKj _ (le_max_right _ _)))))
theorem exists_gt (f : CauSeq α abs) : ∃ a : α, f < const a :=
let ⟨K, H⟩ := f.bounded
⟨K + 1, 1, zero_lt_one, 0, fun i _ => by
rw [sub_apply, const_apply, le_sub_iff_add_le', add_le_add_iff_right]
exact le_of_lt (abs_lt.1 (H _)).2⟩
theorem exists_lt (f : CauSeq α abs) : ∃ a : α, const a < f :=
let ⟨a, h⟩ := (-f).exists_gt
⟨-a, show Pos _ by rwa [const_neg, sub_neg_eq_add, add_comm, ← sub_neg_eq_add]⟩
-- so named to match `rat_add_continuous_lemma`
theorem rat_sup_continuous_lemma {ε : α} {a₁ a₂ b₁ b₂ : α} :
abs (a₁ - b₁) < ε → abs (a₂ - b₂) < ε → abs (a₁ ⊔ a₂ - b₁ ⊔ b₂) < ε := fun h₁ h₂ =>
(abs_max_sub_max_le_max _ _ _ _).trans_lt (max_lt h₁ h₂)
-- so named to match `rat_add_continuous_lemma`
theorem rat_inf_continuous_lemma {ε : α} {a₁ a₂ b₁ b₂ : α} :
abs (a₁ - b₁) < ε → abs (a₂ - b₂) < ε → abs (a₁ ⊓ a₂ - b₁ ⊓ b₂) < ε := fun h₁ h₂ =>
(abs_min_sub_min_le_max _ _ _ _).trans_lt (max_lt h₁ h₂)
instance : Max (CauSeq α abs) :=
⟨fun f g =>
⟨f ⊔ g, fun _ ε0 =>
(exists_forall_ge_and (f.cauchy₃ ε0) (g.cauchy₃ ε0)).imp fun _ H _ ij =>
let ⟨H₁, H₂⟩ := H _ le_rfl
rat_sup_continuous_lemma (H₁ _ ij) (H₂ _ ij)⟩⟩
instance : Min (CauSeq α abs) :=
⟨fun f g =>
⟨f ⊓ g, fun _ ε0 =>
(exists_forall_ge_and (f.cauchy₃ ε0) (g.cauchy₃ ε0)).imp fun _ H _ ij =>
let ⟨H₁, H₂⟩ := H _ le_rfl
rat_inf_continuous_lemma (H₁ _ ij) (H₂ _ ij)⟩⟩
@[simp, norm_cast]
theorem coe_sup (f g : CauSeq α abs) : ⇑(f ⊔ g) = (f : ℕ → α) ⊔ g :=
rfl
@[simp, norm_cast]
theorem coe_inf (f g : CauSeq α abs) : ⇑(f ⊓ g) = (f : ℕ → α) ⊓ g :=
rfl
theorem sup_limZero {f g : CauSeq α abs} (hf : LimZero f) (hg : LimZero g) : LimZero (f ⊔ g)
| ε, ε0 =>
(exists_forall_ge_and (hf _ ε0) (hg _ ε0)).imp fun _ H j ij => by
let ⟨H₁, H₂⟩ := H _ ij
rw [abs_lt] at H₁ H₂ ⊢
exact ⟨lt_sup_iff.mpr (Or.inl H₁.1), sup_lt_iff.mpr ⟨H₁.2, H₂.2⟩⟩
theorem inf_limZero {f g : CauSeq α abs} (hf : LimZero f) (hg : LimZero g) : LimZero (f ⊓ g)
| ε, ε0 =>
(exists_forall_ge_and (hf _ ε0) (hg _ ε0)).imp fun _ H j ij => by
let ⟨H₁, H₂⟩ := H _ ij
rw [abs_lt] at H₁ H₂ ⊢
exact ⟨lt_inf_iff.mpr ⟨H₁.1, H₂.1⟩, inf_lt_iff.mpr (Or.inl H₁.2)⟩
theorem sup_equiv_sup {a₁ b₁ a₂ b₂ : CauSeq α abs} (ha : a₁ ≈ a₂) (hb : b₁ ≈ b₂) :
a₁ ⊔ b₁ ≈ a₂ ⊔ b₂ := by
intro ε ε0
obtain ⟨ai, hai⟩ := ha ε ε0
obtain ⟨bi, hbi⟩ := hb ε ε0
exact
⟨ai ⊔ bi, fun i hi =>
(abs_max_sub_max_le_max (a₁ i) (b₁ i) (a₂ i) (b₂ i)).trans_lt
(max_lt (hai i (sup_le_iff.mp hi).1) (hbi i (sup_le_iff.mp hi).2))⟩
theorem inf_equiv_inf {a₁ b₁ a₂ b₂ : CauSeq α abs} (ha : a₁ ≈ a₂) (hb : b₁ ≈ b₂) :
a₁ ⊓ b₁ ≈ a₂ ⊓ b₂ := by
intro ε ε0
obtain ⟨ai, hai⟩ := ha ε ε0
obtain ⟨bi, hbi⟩ := hb ε ε0
exact
⟨ai ⊔ bi, fun i hi =>
(abs_min_sub_min_le_max (a₁ i) (b₁ i) (a₂ i) (b₂ i)).trans_lt
(max_lt (hai i (sup_le_iff.mp hi).1) (hbi i (sup_le_iff.mp hi).2))⟩
protected theorem sup_lt {a b c : CauSeq α abs} (ha : a < c) (hb : b < c) : a ⊔ b < c := by
obtain ⟨⟨εa, εa0, ia, ha⟩, ⟨εb, εb0, ib, hb⟩⟩ := ha, hb
refine ⟨εa ⊓ εb, lt_inf_iff.mpr ⟨εa0, εb0⟩, ia ⊔ ib, fun i hi => ?_⟩
have := min_le_min (ha _ (sup_le_iff.mp hi).1) (hb _ (sup_le_iff.mp hi).2)
exact this.trans_eq (min_sub_sub_left _ _ _)
protected theorem lt_inf {a b c : CauSeq α abs} (hb : a < b) (hc : a < c) : a < b ⊓ c := by
obtain ⟨⟨εb, εb0, ib, hb⟩, ⟨εc, εc0, ic, hc⟩⟩ := hb, hc
refine ⟨εb ⊓ εc, lt_inf_iff.mpr ⟨εb0, εc0⟩, ib ⊔ ic, fun i hi => ?_⟩
have := min_le_min (hb _ (sup_le_iff.mp hi).1) (hc _ (sup_le_iff.mp hi).2)
exact this.trans_eq (min_sub_sub_right _ _ _)
@[simp]
protected theorem sup_idem (a : CauSeq α abs) : a ⊔ a = a := Subtype.ext (sup_idem _)
@[simp]
protected theorem inf_idem (a : CauSeq α abs) : a ⊓ a = a := Subtype.ext (inf_idem _)
protected theorem sup_comm (a b : CauSeq α abs) : a ⊔ b = b ⊔ a := Subtype.ext (sup_comm _ _)
protected theorem inf_comm (a b : CauSeq α abs) : a ⊓ b = b ⊓ a := Subtype.ext (inf_comm _ _)
protected theorem sup_eq_right {a b : CauSeq α abs} (h : a ≤ b) : a ⊔ b ≈ b := by
obtain ⟨ε, ε0 : _ < _, i, h⟩ | h := h
· intro _ _
refine ⟨i, fun j hj => ?_⟩
dsimp
rw [← max_sub_sub_right]
rwa [sub_self, max_eq_right, abs_zero]
rw [sub_nonpos, ← sub_nonneg]
exact ε0.le.trans (h _ hj)
· refine Setoid.trans (sup_equiv_sup h (Setoid.refl _)) ?_
rw [CauSeq.sup_idem]
protected theorem inf_eq_right {a b : CauSeq α abs} (h : b ≤ a) : a ⊓ b ≈ b := by
obtain ⟨ε, ε0 : _ < _, i, h⟩ | h := h
· intro _ _
refine ⟨i, fun j hj => ?_⟩
dsimp
rw [← min_sub_sub_right]
rwa [sub_self, min_eq_right, abs_zero]
exact ε0.le.trans (h _ hj)
· refine Setoid.trans (inf_equiv_inf (Setoid.symm h) (Setoid.refl _)) ?_
rw [CauSeq.inf_idem]
protected theorem sup_eq_left {a b : CauSeq α abs} (h : b ≤ a) : a ⊔ b ≈ a := by
simpa only [CauSeq.sup_comm] using CauSeq.sup_eq_right h
protected theorem inf_eq_left {a b : CauSeq α abs} (h : a ≤ b) : a ⊓ b ≈ a := by
simpa only [CauSeq.inf_comm] using CauSeq.inf_eq_right h
protected theorem le_sup_left {a b : CauSeq α abs} : a ≤ a ⊔ b :=
le_of_exists ⟨0, fun _ _ => le_sup_left⟩
protected theorem inf_le_left {a b : CauSeq α abs} : a ⊓ b ≤ a :=
le_of_exists ⟨0, fun _ _ => inf_le_left⟩
protected theorem le_sup_right {a b : CauSeq α abs} : b ≤ a ⊔ b :=
le_of_exists ⟨0, fun _ _ => le_sup_right⟩
protected theorem inf_le_right {a b : CauSeq α abs} : a ⊓ b ≤ b :=
le_of_exists ⟨0, fun _ _ => inf_le_right⟩
protected theorem sup_le {a b c : CauSeq α abs} (ha : a ≤ c) (hb : b ≤ c) : a ⊔ b ≤ c := by
obtain ha | ha := ha
· obtain hb | hb := hb
· exact Or.inl (CauSeq.sup_lt ha hb)
· replace ha := le_of_le_of_eq ha.le (Setoid.symm hb)
refine le_of_le_of_eq (Or.inr ?_) hb
exact CauSeq.sup_eq_right ha
· replace hb := le_of_le_of_eq hb (Setoid.symm ha)
refine le_of_le_of_eq (Or.inr ?_) ha
exact CauSeq.sup_eq_left hb
protected theorem le_inf {a b c : CauSeq α abs} (hb : a ≤ b) (hc : a ≤ c) : a ≤ b ⊓ c := by
obtain hb | hb := hb
· obtain hc | hc := hc
· exact Or.inl (CauSeq.lt_inf hb hc)
· replace hb := le_of_eq_of_le (Setoid.symm hc) hb.le
refine le_of_eq_of_le hc (Or.inr ?_)
exact Setoid.symm (CauSeq.inf_eq_right hb)
· replace hc := le_of_eq_of_le (Setoid.symm hb) hc
refine le_of_eq_of_le hb (Or.inr ?_)
exact Setoid.symm (CauSeq.inf_eq_left hc)
/-! Note that `DistribLattice (CauSeq α abs)` is not true because there is no `PartialOrder`. -/
protected theorem sup_inf_distrib_left (a b c : CauSeq α abs) : a ⊔ b ⊓ c = (a ⊔ b) ⊓ (a ⊔ c) :=
ext fun _ ↦ max_min_distrib_left _ _ _
protected theorem sup_inf_distrib_right (a b c : CauSeq α abs) : a ⊓ b ⊔ c = (a ⊔ c) ⊓ (b ⊔ c) :=
ext fun _ ↦ max_min_distrib_right _ _ _
end Abs
end CauSeq
| Mathlib/Algebra/Order/CauSeq/Basic.lean | 969 | 978 | |
/-
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.GCDMonoid.Basic
import Mathlib.Algebra.Order.Group.Multiset
import Mathlib.Data.Multiset.FinsetOps
import Mathlib.Data.Multiset.Fold
/-!
# GCD and LCM operations on multisets
## Main definitions
- `Multiset.gcd` - the greatest common denominator of a `Multiset` of elements of a `GCDMonoid`
- `Multiset.lcm` - the least common multiple of a `Multiset` of elements of a `GCDMonoid`
## Implementation notes
TODO: simplify with a tactic and `Data.Multiset.Lattice`
## Tags
multiset, gcd
-/
namespace Multiset
variable {α : Type*} [CancelCommMonoidWithZero α] [NormalizedGCDMonoid α]
/-! ### LCM -/
section lcm
/-- Least common multiple of a multiset -/
def lcm (s : Multiset α) : α :=
s.fold GCDMonoid.lcm 1
@[simp]
theorem lcm_zero : (0 : Multiset α).lcm = 1 :=
fold_zero _ _
@[simp]
theorem lcm_cons (a : α) (s : Multiset α) : (a ::ₘ s).lcm = GCDMonoid.lcm a s.lcm :=
fold_cons_left _ _ _ _
@[simp]
theorem lcm_singleton {a : α} : ({a} : Multiset α).lcm = normalize a :=
(fold_singleton _ _ _).trans <| lcm_one_right _
@[simp]
theorem lcm_add (s₁ s₂ : Multiset α) : (s₁ + s₂).lcm = GCDMonoid.lcm s₁.lcm s₂.lcm :=
Eq.trans (by simp [lcm]) (fold_add _ _ _ _ _)
theorem lcm_dvd {s : Multiset α} {a : α} : s.lcm ∣ a ↔ ∀ b ∈ s, b ∣ a :=
Multiset.induction_on s (by simp)
(by simp +contextual [or_imp, forall_and, lcm_dvd_iff])
theorem dvd_lcm {s : Multiset α} {a : α} (h : a ∈ s) : a ∣ s.lcm :=
lcm_dvd.1 dvd_rfl _ h
theorem lcm_mono {s₁ s₂ : Multiset α} (h : s₁ ⊆ s₂) : s₁.lcm ∣ s₂.lcm :=
lcm_dvd.2 fun _ hb ↦ dvd_lcm (h hb)
@[simp]
theorem normalize_lcm (s : Multiset α) : normalize s.lcm = s.lcm :=
Multiset.induction_on s (by simp) fun a s _ ↦ by simp
@[simp]
nonrec theorem lcm_eq_zero_iff [Nontrivial α] (s : Multiset α) : s.lcm = 0 ↔ (0 : α) ∈ s := by
induction s using Multiset.induction_on with
| empty => simp only [lcm_zero, one_ne_zero, not_mem_zero]
| cons a s ihs => simp only [mem_cons, lcm_cons, lcm_eq_zero_iff, ihs, @eq_comm _ a]
variable [DecidableEq α]
@[simp]
theorem lcm_dedup (s : Multiset α) : (dedup s).lcm = s.lcm :=
Multiset.induction_on s (by simp) fun a s IH ↦ by
by_cases h : a ∈ s <;> simp [IH, h]
unfold lcm
rw [← cons_erase h, fold_cons_left, ← lcm_assoc, lcm_same]
apply lcm_eq_of_associated_left (associated_normalize _)
@[simp]
theorem lcm_ndunion (s₁ s₂ : Multiset α) : (ndunion s₁ s₂).lcm = GCDMonoid.lcm s₁.lcm s₂.lcm := by
rw [← lcm_dedup, dedup_ext.2, lcm_dedup, lcm_add]
simp
@[simp]
theorem lcm_union (s₁ s₂ : Multiset α) : (s₁ ∪ s₂).lcm = GCDMonoid.lcm s₁.lcm s₂.lcm := by
rw [← lcm_dedup, dedup_ext.2, lcm_dedup, lcm_add]
simp
@[simp]
theorem lcm_ndinsert (a : α) (s : Multiset α) : (ndinsert a s).lcm = GCDMonoid.lcm a s.lcm := by
rw [← lcm_dedup, dedup_ext.2, lcm_dedup, lcm_cons]
simp
end lcm
/-! ### GCD -/
section gcd
/-- Greatest common divisor of a multiset -/
def gcd (s : Multiset α) : α :=
s.fold GCDMonoid.gcd 0
@[simp]
theorem gcd_zero : (0 : Multiset α).gcd = 0 :=
fold_zero _ _
@[simp]
theorem gcd_cons (a : α) (s : Multiset α) : (a ::ₘ s).gcd = GCDMonoid.gcd a s.gcd :=
fold_cons_left _ _ _ _
@[simp]
theorem gcd_singleton {a : α} : ({a} : Multiset α).gcd = normalize a :=
(fold_singleton _ _ _).trans <| gcd_zero_right _
@[simp]
theorem gcd_add (s₁ s₂ : Multiset α) : (s₁ + s₂).gcd = GCDMonoid.gcd s₁.gcd s₂.gcd :=
Eq.trans (by simp [gcd]) (fold_add _ _ _ _ _)
theorem dvd_gcd {s : Multiset α} {a : α} : a ∣ s.gcd ↔ ∀ b ∈ s, a ∣ b :=
Multiset.induction_on s (by simp)
(by simp +contextual [or_imp, forall_and, dvd_gcd_iff])
theorem gcd_dvd {s : Multiset α} {a : α} (h : a ∈ s) : s.gcd ∣ a :=
dvd_gcd.1 dvd_rfl _ h
theorem gcd_mono {s₁ s₂ : Multiset α} (h : s₁ ⊆ s₂) : s₂.gcd ∣ s₁.gcd :=
dvd_gcd.2 fun _ hb ↦ gcd_dvd (h hb)
@[simp]
theorem normalize_gcd (s : Multiset α) : normalize s.gcd = s.gcd :=
Multiset.induction_on s (by simp) fun a s _ ↦ by simp
theorem gcd_eq_zero_iff (s : Multiset α) : s.gcd = 0 ↔ ∀ x : α, x ∈ s → x = 0 := by
constructor
· intro h x hx
apply eq_zero_of_zero_dvd
rw [← h]
apply gcd_dvd hx
· refine s.induction_on ?_ ?_
· simp
intro a s sgcd h
simp [h a (mem_cons_self a s), sgcd fun x hx ↦ h x (mem_cons_of_mem hx)]
theorem gcd_map_mul (a : α) (s : Multiset α) : (s.map (a * ·)).gcd = normalize a * s.gcd := by
refine s.induction_on ?_ fun b s ih ↦ ?_
· simp_rw [map_zero, gcd_zero, mul_zero]
· simp_rw [map_cons, gcd_cons, ← gcd_mul_left]
rw [ih]
apply ((normalize_associated a).mul_right _).gcd_eq_right
section
variable [DecidableEq α]
@[simp]
theorem gcd_dedup (s : Multiset α) : (dedup s).gcd = s.gcd :=
Multiset.induction_on s (by simp) fun a s IH ↦ by
by_cases h : a ∈ s <;> simp [IH, h]
unfold gcd
rw [← cons_erase h, fold_cons_left, ← gcd_assoc, gcd_same]
apply (associated_normalize _).gcd_eq_left
@[simp]
theorem gcd_ndunion (s₁ s₂ : Multiset α) : (ndunion s₁ s₂).gcd = GCDMonoid.gcd s₁.gcd s₂.gcd := by
rw [← gcd_dedup, dedup_ext.2, gcd_dedup, gcd_add]
simp
@[simp]
theorem gcd_union (s₁ s₂ : Multiset α) : (s₁ ∪ s₂).gcd = GCDMonoid.gcd s₁.gcd s₂.gcd := by
rw [← gcd_dedup, dedup_ext.2, gcd_dedup, gcd_add]
simp
@[simp]
theorem gcd_ndinsert (a : α) (s : Multiset α) : (ndinsert a s).gcd = GCDMonoid.gcd a s.gcd := by
rw [← gcd_dedup, dedup_ext.2, gcd_dedup, gcd_cons]
simp
end
theorem extract_gcd' (s t : Multiset α) (hs : ∃ x, x ∈ s ∧ x ≠ (0 : α))
(ht : s = t.map (s.gcd * ·)) : t.gcd = 1 :=
((@mul_right_eq_self₀ _ _ s.gcd _).1 <| by
conv_lhs => rw [← normalize_gcd, ← gcd_map_mul, ← ht]).resolve_right <| by
contrapose! hs
exact s.gcd_eq_zero_iff.1 hs
theorem extract_gcd (s : Multiset α) (hs : s ≠ 0) :
| ∃ t : Multiset α, s = t.map (s.gcd * ·) ∧ t.gcd = 1 := by
classical
by_cases h : ∀ x ∈ s, x = (0 : α)
· use replicate (card s) 1
rw [map_replicate, eq_replicate, mul_one, s.gcd_eq_zero_iff.2 h, ← nsmul_singleton,
← gcd_dedup, dedup_nsmul (card_pos.2 hs).ne', dedup_singleton, gcd_singleton]
| Mathlib/Algebra/GCDMonoid/Multiset.lean | 198 | 203 |
/-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl
-/
import Mathlib.Data.Set.Function
import Mathlib.Logic.Pairwise
import Mathlib.Logic.Relation
/-!
# Relations holding pairwise
This file develops pairwise relations and defines pairwise disjoint indexed sets.
We also prove many basic facts about `Pairwise`. It is possible that an intermediate file,
with more imports than `Logic.Pairwise` but not importing `Data.Set.Function` would be appropriate
to hold many of these basic facts.
## Main declarations
* `Set.PairwiseDisjoint`: `s.PairwiseDisjoint f` states that images under `f` of distinct elements
of `s` are either equal or `Disjoint`.
## Notes
The spelling `s.PairwiseDisjoint id` is preferred over `s.Pairwise Disjoint` to permit dot notation
on `Set.PairwiseDisjoint`, even though the latter unfolds to something nicer.
-/
open Function Order Set
variable {α β γ ι ι' : Type*} {r p : α → α → Prop}
section Pairwise
variable {f g : ι → α} {s t : Set α} {a b : α}
theorem pairwise_on_bool (hr : Symmetric r) {a b : α} :
Pairwise (r on fun c => cond c a b) ↔ r a b := by simpa [Pairwise, Function.onFun] using @hr a b
theorem pairwise_disjoint_on_bool [PartialOrder α] [OrderBot α] {a b : α} :
Pairwise (Disjoint on fun c => cond c a b) ↔ Disjoint a b :=
pairwise_on_bool Disjoint.symm
theorem Symmetric.pairwise_on [LinearOrder ι] (hr : Symmetric r) (f : ι → α) :
Pairwise (r on f) ↔ ∀ ⦃m n⦄, m < n → r (f m) (f n) :=
⟨fun h _m _n hmn => h hmn.ne, fun h _m _n hmn => hmn.lt_or_lt.elim (@h _ _) fun h' => hr (h h')⟩
theorem pairwise_disjoint_on [PartialOrder α] [OrderBot α] [LinearOrder ι] (f : ι → α) :
Pairwise (Disjoint on f) ↔ ∀ ⦃m n⦄, m < n → Disjoint (f m) (f n) :=
Symmetric.pairwise_on Disjoint.symm f
theorem pairwise_disjoint_mono [PartialOrder α] [OrderBot α] (hs : Pairwise (Disjoint on f))
(h : g ≤ f) : Pairwise (Disjoint on g) :=
hs.mono fun i j hij => Disjoint.mono (h i) (h j) hij
theorem Pairwise.disjoint_extend_bot [PartialOrder γ] [OrderBot γ]
{e : α → β} {f : α → γ} (hf : Pairwise (Disjoint on f)) (he : FactorsThrough f e) :
Pairwise (Disjoint on extend e f ⊥) := by
intro b₁ b₂ hne
rcases em (∃ a₁, e a₁ = b₁) with ⟨a₁, rfl⟩ | hb₁
· rcases em (∃ a₂, e a₂ = b₂) with ⟨a₂, rfl⟩ | hb₂
· simpa only [onFun, he.extend_apply] using hf (ne_of_apply_ne e hne)
· simpa only [onFun, extend_apply' _ _ _ hb₂] using disjoint_bot_right
· simpa only [onFun, extend_apply' _ _ _ hb₁] using disjoint_bot_left
namespace Set
theorem Pairwise.mono (h : t ⊆ s) (hs : s.Pairwise r) : t.Pairwise r :=
fun _x xt _y yt => hs (h xt) (h yt)
theorem Pairwise.mono' (H : r ≤ p) (hr : s.Pairwise r) : s.Pairwise p :=
hr.imp H
theorem pairwise_top (s : Set α) : s.Pairwise ⊤ :=
pairwise_of_forall s _ fun _ _ => trivial
protected theorem Subsingleton.pairwise (h : s.Subsingleton) (r : α → α → Prop) : s.Pairwise r :=
fun _x hx _y hy hne => (hne (h hx hy)).elim
@[simp]
theorem pairwise_empty (r : α → α → Prop) : (∅ : Set α).Pairwise r :=
subsingleton_empty.pairwise r
@[simp]
theorem pairwise_singleton (a : α) (r : α → α → Prop) : Set.Pairwise {a} r :=
subsingleton_singleton.pairwise r
theorem pairwise_iff_of_refl [IsRefl α r] : s.Pairwise r ↔ ∀ ⦃a⦄, a ∈ s → ∀ ⦃b⦄, b ∈ s → r a b :=
forall₄_congr fun _ _ _ _ => or_iff_not_imp_left.symm.trans <| or_iff_right_of_imp of_eq
alias ⟨Pairwise.of_refl, _⟩ := pairwise_iff_of_refl
theorem Nonempty.pairwise_iff_exists_forall [IsEquiv α r] {s : Set ι} (hs : s.Nonempty) :
s.Pairwise (r on f) ↔ ∃ z, ∀ x ∈ s, r (f x) z := by
constructor
· rcases hs with ⟨y, hy⟩
refine fun H => ⟨f y, fun x hx => ?_⟩
rcases eq_or_ne x y with (rfl | hne)
· apply IsRefl.refl
· exact H hx hy hne
· rintro ⟨z, hz⟩ x hx y hy _
exact @IsTrans.trans α r _ (f x) z (f y) (hz _ hx) (IsSymm.symm _ _ <| hz _ hy)
/-- For a nonempty set `s`, a function `f` takes pairwise equal values on `s` if and only if
for some `z` in the codomain, `f` takes value `z` on all `x ∈ s`. See also
`Set.pairwise_eq_iff_exists_eq` for a version that assumes `[Nonempty ι]` instead of
`Set.Nonempty s`. -/
theorem Nonempty.pairwise_eq_iff_exists_eq {s : Set α} (hs : s.Nonempty) {f : α → ι} :
(s.Pairwise fun x y => f x = f y) ↔ ∃ z, ∀ x ∈ s, f x = z :=
hs.pairwise_iff_exists_forall
theorem pairwise_iff_exists_forall [Nonempty ι] (s : Set α) (f : α → ι) {r : ι → ι → Prop}
[IsEquiv ι r] : s.Pairwise (r on f) ↔ ∃ z, ∀ x ∈ s, r (f x) z := by
rcases s.eq_empty_or_nonempty with (rfl | hne)
· simp
· exact hne.pairwise_iff_exists_forall
/-- A function `f : α → ι` with nonempty codomain takes pairwise equal values on a set `s` if and
only if for some `z` in the codomain, `f` takes value `z` on all `x ∈ s`. See also
`Set.Nonempty.pairwise_eq_iff_exists_eq` for a version that assumes `Set.Nonempty s` instead of
`[Nonempty ι]`. -/
theorem pairwise_eq_iff_exists_eq [Nonempty ι] (s : Set α) (f : α → ι) :
(s.Pairwise fun x y => f x = f y) ↔ ∃ z, ∀ x ∈ s, f x = z :=
pairwise_iff_exists_forall s f
theorem pairwise_union :
(s ∪ t).Pairwise r ↔
s.Pairwise r ∧ t.Pairwise r ∧ ∀ a ∈ s, ∀ b ∈ t, a ≠ b → r a b ∧ r b a := by
simp only [Set.Pairwise, mem_union, or_imp, forall_and]
aesop
theorem pairwise_union_of_symmetric (hr : Symmetric r) :
(s ∪ t).Pairwise r ↔ s.Pairwise r ∧ t.Pairwise r ∧ ∀ a ∈ s, ∀ b ∈ t, a ≠ b → r a b :=
pairwise_union.trans <| by simp only [hr.iff, and_self_iff]
theorem pairwise_insert :
(insert a s).Pairwise r ↔ s.Pairwise r ∧ ∀ b ∈ s, a ≠ b → r a b ∧ r b a := by
simp only [insert_eq, pairwise_union, pairwise_singleton, true_and, mem_singleton_iff, forall_eq]
theorem pairwise_insert_of_not_mem (ha : a ∉ s) :
(insert a s).Pairwise r ↔ s.Pairwise r ∧ ∀ b ∈ s, r a b ∧ r b a :=
pairwise_insert.trans <|
and_congr_right' <| forall₂_congr fun b hb => by simp [(ne_of_mem_of_not_mem hb ha).symm]
protected theorem Pairwise.insert (hs : s.Pairwise r) (h : ∀ b ∈ s, a ≠ b → r a b ∧ r b a) :
(insert a s).Pairwise r :=
pairwise_insert.2 ⟨hs, h⟩
theorem Pairwise.insert_of_not_mem (ha : a ∉ s) (hs : s.Pairwise r) (h : ∀ b ∈ s, r a b ∧ r b a) :
(insert a s).Pairwise r :=
(pairwise_insert_of_not_mem ha).2 ⟨hs, h⟩
theorem pairwise_insert_of_symmetric (hr : Symmetric r) :
(insert a s).Pairwise r ↔ s.Pairwise r ∧ ∀ b ∈ s, a ≠ b → r a b := by
simp only [pairwise_insert, hr.iff a, and_self_iff]
theorem pairwise_insert_of_symmetric_of_not_mem (hr : Symmetric r) (ha : a ∉ s) :
(insert a s).Pairwise r ↔ s.Pairwise r ∧ ∀ b ∈ s, r a b := by
simp only [pairwise_insert_of_not_mem ha, hr.iff a, and_self_iff]
theorem Pairwise.insert_of_symmetric (hs : s.Pairwise r) (hr : Symmetric r)
(h : ∀ b ∈ s, a ≠ b → r a b) : (insert a s).Pairwise r :=
(pairwise_insert_of_symmetric hr).2 ⟨hs, h⟩
@[deprecated Pairwise.insert_of_symmetric (since := "2025-03-19")]
theorem Pairwise.insert_of_symmetric_of_not_mem (hs : s.Pairwise r) (hr : Symmetric r) (ha : a ∉ s)
(h : ∀ b ∈ s, r a b) : (insert a s).Pairwise r :=
(pairwise_insert_of_symmetric_of_not_mem hr ha).2 ⟨hs, h⟩
theorem pairwise_pair : Set.Pairwise {a, b} r ↔ a ≠ b → r a b ∧ r b a := by simp [pairwise_insert]
theorem pairwise_pair_of_symmetric (hr : Symmetric r) : Set.Pairwise {a, b} r ↔ a ≠ b → r a b := by
simp [pairwise_insert_of_symmetric hr]
theorem pairwise_univ : (univ : Set α).Pairwise r ↔ Pairwise r := by
simp only [Set.Pairwise, Pairwise, mem_univ, forall_const]
@[simp]
theorem pairwise_bot_iff : s.Pairwise (⊥ : α → α → Prop) ↔ (s : Set α).Subsingleton :=
⟨fun h _a ha _b hb => h.eq ha hb id, fun h => h.pairwise _⟩
alias ⟨Pairwise.subsingleton, _⟩ := pairwise_bot_iff
/-- See also `Function.injective_iff_pairwise_ne` -/
lemma injOn_iff_pairwise_ne {s : Set ι} : InjOn f s ↔ s.Pairwise (f · ≠ f ·) := by
simp only [InjOn, Set.Pairwise, not_imp_not]
alias ⟨InjOn.pairwise_ne, _⟩ := injOn_iff_pairwise_ne
protected theorem Pairwise.image {s : Set ι} (h : s.Pairwise (r on f)) : (f '' s).Pairwise r :=
forall_mem_image.2 fun _x hx ↦ forall_mem_image.2 fun _y hy hne ↦ h hx hy <| ne_of_apply_ne _ hne
/-- See also `Set.Pairwise.image`. -/
theorem InjOn.pairwise_image {s : Set ι} (h : s.InjOn f) :
(f '' s).Pairwise r ↔ s.Pairwise (r on f) := by
simp +contextual [h.eq_iff, Set.Pairwise]
lemma _root_.Pairwise.range_pairwise (hr : Pairwise (r on f)) : (Set.range f).Pairwise r :=
image_univ ▸ (pairwise_univ.mpr hr).image
end Set
end Pairwise
theorem pairwise_subtype_iff_pairwise_set (s : Set α) (r : α → α → Prop) :
(Pairwise fun (x : s) (y : s) => r x y) ↔ s.Pairwise r := by
simp only [Pairwise, Set.Pairwise, SetCoe.forall, Ne, Subtype.ext_iff, Subtype.coe_mk]
alias ⟨Pairwise.set_of_subtype, Set.Pairwise.subtype⟩ := pairwise_subtype_iff_pairwise_set
namespace Set
section PartialOrderBot
variable [PartialOrder α] [OrderBot α] {s t : Set ι} {f g : ι → α}
/-- A set is `PairwiseDisjoint` under `f`, if the images of any distinct two elements under `f`
are disjoint.
`s.Pairwise Disjoint` is (definitionally) the same as `s.PairwiseDisjoint id`. We prefer the latter
in order to allow dot notation on `Set.PairwiseDisjoint`, even though the former unfolds more
nicely. -/
def PairwiseDisjoint (s : Set ι) (f : ι → α) : Prop :=
s.Pairwise (Disjoint on f)
theorem PairwiseDisjoint.subset (ht : t.PairwiseDisjoint f) (h : s ⊆ t) : s.PairwiseDisjoint f :=
Pairwise.mono h ht
theorem PairwiseDisjoint.mono_on (hs : s.PairwiseDisjoint f) (h : ∀ ⦃i⦄, i ∈ s → g i ≤ f i) :
s.PairwiseDisjoint g := fun _a ha _b hb hab => (hs ha hb hab).mono (h ha) (h hb)
theorem PairwiseDisjoint.mono (hs : s.PairwiseDisjoint f) (h : g ≤ f) : s.PairwiseDisjoint g :=
hs.mono_on fun i _ => h i
@[simp]
theorem pairwiseDisjoint_empty : (∅ : Set ι).PairwiseDisjoint f :=
pairwise_empty _
@[simp]
theorem pairwiseDisjoint_singleton (i : ι) (f : ι → α) : PairwiseDisjoint {i} f :=
pairwise_singleton i _
theorem pairwiseDisjoint_insert {i : ι} :
(insert i s).PairwiseDisjoint f ↔
s.PairwiseDisjoint f ∧ ∀ j ∈ s, i ≠ j → Disjoint (f i) (f j) :=
pairwise_insert_of_symmetric <| symmetric_disjoint.comap f
theorem pairwiseDisjoint_insert_of_not_mem {i : ι} (hi : i ∉ s) :
(insert i s).PairwiseDisjoint f ↔ s.PairwiseDisjoint f ∧ ∀ j ∈ s, Disjoint (f i) (f j) :=
pairwise_insert_of_symmetric_of_not_mem (symmetric_disjoint.comap f) hi
protected theorem PairwiseDisjoint.insert (hs : s.PairwiseDisjoint f) {i : ι}
(h : ∀ j ∈ s, i ≠ j → Disjoint (f i) (f j)) : (insert i s).PairwiseDisjoint f :=
pairwiseDisjoint_insert.2 ⟨hs, h⟩
theorem PairwiseDisjoint.insert_of_not_mem (hs : s.PairwiseDisjoint f) {i : ι} (hi : i ∉ s)
(h : ∀ j ∈ s, Disjoint (f i) (f j)) : (insert i s).PairwiseDisjoint f :=
(pairwiseDisjoint_insert_of_not_mem hi).2 ⟨hs, h⟩
theorem PairwiseDisjoint.image_of_le (hs : s.PairwiseDisjoint f) {g : ι → ι} (hg : f ∘ g ≤ f) :
(g '' s).PairwiseDisjoint f := by
rintro _ ⟨a, ha, rfl⟩ _ ⟨b, hb, rfl⟩ h
exact (hs ha hb <| ne_of_apply_ne _ h).mono (hg a) (hg b)
theorem InjOn.pairwiseDisjoint_image {g : ι' → ι} {s : Set ι'} (h : s.InjOn g) :
(g '' s).PairwiseDisjoint f ↔ s.PairwiseDisjoint (f ∘ g) :=
h.pairwise_image
theorem PairwiseDisjoint.range (g : s → ι) (hg : ∀ i : s, f (g i) ≤ f i)
(ht : s.PairwiseDisjoint f) : (range g).PairwiseDisjoint f := by
rintro _ ⟨x, rfl⟩ _ ⟨y, rfl⟩ hxy
exact ((ht x.2 y.2) fun h => hxy <| congr_arg g <| Subtype.ext h).mono (hg x) (hg y)
theorem pairwiseDisjoint_union :
(s ∪ t).PairwiseDisjoint f ↔
s.PairwiseDisjoint f ∧
t.PairwiseDisjoint f ∧ ∀ ⦃i⦄, i ∈ s → ∀ ⦃j⦄, j ∈ t → i ≠ j → Disjoint (f i) (f j) :=
pairwise_union_of_symmetric <| symmetric_disjoint.comap f
theorem PairwiseDisjoint.union (hs : s.PairwiseDisjoint f) (ht : t.PairwiseDisjoint f)
(h : ∀ ⦃i⦄, i ∈ s → ∀ ⦃j⦄, j ∈ t → i ≠ j → Disjoint (f i) (f j)) : (s ∪ t).PairwiseDisjoint f :=
pairwiseDisjoint_union.2 ⟨hs, ht, h⟩
-- classical
theorem PairwiseDisjoint.elim (hs : s.PairwiseDisjoint f) {i j : ι} (hi : i ∈ s) (hj : j ∈ s)
(h : ¬Disjoint (f i) (f j)) : i = j :=
hs.eq hi hj h
lemma PairwiseDisjoint.eq_or_disjoint
(h : s.PairwiseDisjoint f) {i j : ι} (hi : i ∈ s) (hj : j ∈ s) :
i = j ∨ Disjoint (f i) (f j) := by
rw [or_iff_not_imp_right]
exact h.elim hi hj
lemma pairwiseDisjoint_range_iff {α β : Type*} {f : α → (Set β)} :
(range f).PairwiseDisjoint id ↔ ∀ x y, f x ≠ f y → Disjoint (f x) (f y) := by
aesop (add simp [PairwiseDisjoint, Set.Pairwise])
/-- If the range of `f` is pairwise disjoint, then the image of any set `s` under `f` is as well. -/
lemma _root_.Pairwise.pairwiseDisjoint (h : Pairwise (Disjoint on f)) (s : Set ι) :
s.PairwiseDisjoint f := h.set_pairwise s
end PartialOrderBot
section SemilatticeInfBot
variable [SemilatticeInf α] [OrderBot α] {s : Set ι} {f : ι → α}
-- classical
theorem PairwiseDisjoint.elim' (hs : s.PairwiseDisjoint f) {i j : ι} (hi : i ∈ s) (hj : j ∈ s)
(h : f i ⊓ f j ≠ ⊥) : i = j :=
(hs.elim hi hj) fun hij => h hij.eq_bot
theorem PairwiseDisjoint.eq_of_le (hs : s.PairwiseDisjoint f) {i j : ι} (hi : i ∈ s) (hj : j ∈ s)
(hf : f i ≠ ⊥) (hij : f i ≤ f j) : i = j :=
(hs.elim' hi hj) fun h => hf <| (inf_of_le_left hij).symm.trans h
end SemilatticeInfBot
/-! ### Pairwise disjoint set of sets -/
variable {s : Set ι} {t : Set ι'}
theorem pairwiseDisjoint_range_singleton :
(range (singleton : ι → Set ι)).PairwiseDisjoint id :=
Pairwise.range_pairwise fun _ _ => disjoint_singleton.2
theorem pairwiseDisjoint_fiber (f : ι → α) (s : Set α) : s.PairwiseDisjoint fun a => f ⁻¹' {a} :=
fun _a _ _b _ h => disjoint_iff_inf_le.mpr fun _i ⟨hia, hib⟩ => h <| (Eq.symm hia).trans hib
-- classical
theorem PairwiseDisjoint.elim_set {s : Set ι} {f : ι → Set α} (hs : s.PairwiseDisjoint f) {i j : ι}
(hi : i ∈ s) (hj : j ∈ s) (a : α) (hai : a ∈ f i) (haj : a ∈ f j) : i = j :=
hs.elim hi hj <| not_disjoint_iff.2 ⟨a, hai, haj⟩
theorem PairwiseDisjoint.prod {f : ι → Set α} {g : ι' → Set β} (hs : s.PairwiseDisjoint f)
(ht : t.PairwiseDisjoint g) :
(s ×ˢ t : Set (ι × ι')).PairwiseDisjoint fun i => f i.1 ×ˢ g i.2 :=
fun ⟨_, _⟩ ⟨hi, hi'⟩ ⟨_, _⟩ ⟨hj, hj'⟩ hij =>
disjoint_left.2 fun ⟨_, _⟩ ⟨hai, hbi⟩ ⟨haj, hbj⟩ =>
hij <| Prod.ext (hs.elim_set hi hj _ hai haj) <| ht.elim_set hi' hj' _ hbi hbj
theorem pairwiseDisjoint_pi {ι' α : ι → Type*} {s : ∀ i, Set (ι' i)} {f : ∀ i, ι' i → Set (α i)}
(hs : ∀ i, (s i).PairwiseDisjoint (f i)) :
((univ : Set ι).pi s).PairwiseDisjoint fun I => (univ : Set ι).pi fun i => f _ (I i) :=
fun _ hI _ hJ hIJ =>
disjoint_left.2 fun a haI haJ =>
hIJ <|
funext fun i =>
(hs i).elim_set (hI i trivial) (hJ i trivial) (a i) (haI i trivial) (haJ i trivial)
/-- The partial images of a binary function `f` whose partial evaluations are injective are pairwise
disjoint iff `f` is injective . -/
theorem pairwiseDisjoint_image_right_iff {f : α → β → γ} {s : Set α} {t : Set β}
(hf : ∀ a ∈ s, Injective (f a)) :
(s.PairwiseDisjoint fun a => f a '' t) ↔ (s ×ˢ t).InjOn fun p => f p.1 p.2 := by
refine ⟨fun hs x hx y hy (h : f _ _ = _) => ?_, fun hs x hx y hy h => ?_⟩
· suffices x.1 = y.1 by exact Prod.ext this (hf _ hx.1 <| h.trans <| by rw [this])
refine hs.elim hx.1 hy.1 (not_disjoint_iff.2 ⟨_, mem_image_of_mem _ hx.2, ?_⟩)
rw [h]
exact mem_image_of_mem _ hy.2
· refine disjoint_iff_inf_le.mpr ?_
rintro _ ⟨⟨a, ha, hab⟩, b, hb, rfl⟩
exact h (congr_arg Prod.fst <| hs (mk_mem_prod hx ha) (mk_mem_prod hy hb) hab)
/-- The partial images of a binary function `f` whose partial evaluations are injective are pairwise
disjoint iff `f` is injective . -/
theorem pairwiseDisjoint_image_left_iff {f : α → β → γ} {s : Set α} {t : Set β}
(hf : ∀ b ∈ t, Injective fun a => f a b) :
(t.PairwiseDisjoint fun b => (fun a => f a b) '' s) ↔ (s ×ˢ t).InjOn fun p => f p.1 p.2 := by
refine ⟨fun ht x hx y hy (h : f _ _ = _) => ?_, fun ht x hx y hy h => ?_⟩
· suffices x.2 = y.2 by exact Prod.ext (hf _ hx.2 <| h.trans <| by rw [this]) this
refine ht.elim hx.2 hy.2 (not_disjoint_iff.2 ⟨_, mem_image_of_mem _ hx.1, ?_⟩)
rw [h]
exact mem_image_of_mem _ hy.1
· refine disjoint_iff_inf_le.mpr ?_
rintro _ ⟨⟨a, ha, hab⟩, b, hb, rfl⟩
exact h (congr_arg Prod.snd <| ht (mk_mem_prod ha hx) (mk_mem_prod hb hy) hab)
lemma exists_ne_mem_inter_of_not_pairwiseDisjoint
{f : ι → Set α} (h : ¬ s.PairwiseDisjoint f) :
∃ i ∈ s, ∃ j ∈ s, i ≠ j ∧ ∃ x : α, x ∈ f i ∩ f j := by
change ¬ ∀ i, i ∈ s → ∀ j, j ∈ s → i ≠ j → ∀ t, t ≤ f i → t ≤ f j → t ≤ ⊥ at h
simp only [not_forall] at h
obtain ⟨i, hi, j, hj, h_ne, t, hfi, hfj, ht⟩ := h
replace ht : t.Nonempty := by
rwa [le_bot_iff, bot_eq_empty, ← Ne, ← nonempty_iff_ne_empty] at ht
obtain ⟨x, hx⟩ := ht
exact ⟨i, hi, j, hj, h_ne, x, hfi hx, hfj hx⟩
lemma exists_lt_mem_inter_of_not_pairwiseDisjoint [LinearOrder ι]
{f : ι → Set α} (h : ¬ s.PairwiseDisjoint f) :
∃ i ∈ s, ∃ j ∈ s, i < j ∧ ∃ x, x ∈ f i ∩ f j := by
obtain ⟨i, hi, j, hj, hne, x, hx₁, hx₂⟩ := exists_ne_mem_inter_of_not_pairwiseDisjoint h
rcases lt_or_lt_iff_ne.mpr hne with h_lt | h_lt
· exact ⟨i, hi, j, hj, h_lt, x, hx₁, hx₂⟩
· exact ⟨j, hj, i, hi, h_lt, x, hx₂, hx₁⟩
end Set
lemma exists_ne_mem_inter_of_not_pairwise_disjoint
{f : ι → Set α} (h : ¬ Pairwise (Disjoint on f)) :
∃ i j : ι, i ≠ j ∧ ∃ x, x ∈ f i ∩ f j := by
rw [← pairwise_univ] at h
obtain ⟨i, _hi, j, _hj, h⟩ := exists_ne_mem_inter_of_not_pairwiseDisjoint h
exact ⟨i, j, h⟩
lemma exists_lt_mem_inter_of_not_pairwise_disjoint [LinearOrder ι]
{f : ι → Set α} (h : ¬ Pairwise (Disjoint on f)) :
∃ i j : ι, i < j ∧ ∃ x, x ∈ f i ∩ f j := by
rw [← pairwise_univ] at h
obtain ⟨i, _hi, j, _hj, h⟩ := exists_lt_mem_inter_of_not_pairwiseDisjoint h
exact ⟨i, j, h⟩
theorem pairwise_disjoint_fiber (f : ι → α) : Pairwise (Disjoint on fun a : α => f ⁻¹' {a}) :=
pairwise_univ.1 <| Set.pairwiseDisjoint_fiber f univ
lemma subsingleton_setOf_mem_iff_pairwise_disjoint {f : ι → Set α} :
(∀ a, {i | a ∈ f i}.Subsingleton) ↔ Pairwise (Disjoint on f) :=
⟨fun h _ _ hij ↦ disjoint_left.2 fun a hi hj ↦ hij (h a hi hj),
fun h _ _ hx _ hy ↦ by_contra fun hne ↦ disjoint_left.1 (h hne) hx hy⟩
| Mathlib/Data/Set/Pairwise/Basic.lean | 437 | 446 | |
/-
Copyright (c) 2023 Yaël Dillies. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yaël Dillies
-/
import Mathlib.Algebra.Order.Module.OrderedSMul
import Mathlib.Algebra.Order.Module.Synonym
import Mathlib.Algebra.Order.Monoid.Unbundled.MinMax
import Mathlib.Order.Monotone.Monovary
/-!
# Monovarying functions and algebraic operations
This file characterises the interaction of ordered algebraic structures with monovariance
of functions.
## See also
`Algebra.Order.Rearrangement` for the n-ary rearrangement inequality
-/
variable {ι α β : Type*}
/-! ### Algebraic operations on monovarying functions -/
section OrderedCommGroup
section
variable [CommGroup α] [PartialOrder α] [IsOrderedMonoid α] [PartialOrder β]
{s : Set ι} {f f₁ f₂ : ι → α} {g : ι → β}
@[to_additive (attr := simp)]
lemma monovaryOn_inv_left : MonovaryOn f⁻¹ g s ↔ AntivaryOn f g s := by
simp [MonovaryOn, AntivaryOn]
@[to_additive (attr := simp)]
lemma antivaryOn_inv_left : AntivaryOn f⁻¹ g s ↔ MonovaryOn f g s := by
simp [MonovaryOn, AntivaryOn]
@[to_additive (attr := simp)] lemma monovary_inv_left : Monovary f⁻¹ g ↔ Antivary f g := by
simp [Monovary, Antivary]
@[to_additive (attr := simp)] lemma antivary_inv_left : Antivary f⁻¹ g ↔ Monovary f g := by
simp [Monovary, Antivary]
@[to_additive] lemma MonovaryOn.mul_left (h₁ : MonovaryOn f₁ g s) (h₂ : MonovaryOn f₂ g s) :
MonovaryOn (f₁ * f₂) g s := fun _i hi _j hj hij ↦ mul_le_mul' (h₁ hi hj hij) (h₂ hi hj hij)
@[to_additive] lemma AntivaryOn.mul_left (h₁ : AntivaryOn f₁ g s) (h₂ : AntivaryOn f₂ g s) :
AntivaryOn (f₁ * f₂) g s := fun _i hi _j hj hij ↦ mul_le_mul' (h₁ hi hj hij) (h₂ hi hj hij)
@[to_additive] lemma MonovaryOn.div_left (h₁ : MonovaryOn f₁ g s) (h₂ : AntivaryOn f₂ g s) :
MonovaryOn (f₁ / f₂) g s := fun _i hi _j hj hij ↦ div_le_div'' (h₁ hi hj hij) (h₂ hi hj hij)
@[to_additive] lemma AntivaryOn.div_left (h₁ : AntivaryOn f₁ g s) (h₂ : MonovaryOn f₂ g s) :
AntivaryOn (f₁ / f₂) g s := fun _i hi _j hj hij ↦ div_le_div'' (h₁ hi hj hij) (h₂ hi hj hij)
@[to_additive] lemma MonovaryOn.pow_left (hfg : MonovaryOn f g s) (n : ℕ) :
MonovaryOn (f ^ n) g s := fun _i hi _j hj hij ↦ pow_le_pow_left' (hfg hi hj hij) _
@[to_additive] lemma AntivaryOn.pow_left (hfg : AntivaryOn f g s) (n : ℕ) :
AntivaryOn (f ^ n) g s := fun _i hi _j hj hij ↦ pow_le_pow_left' (hfg hi hj hij) _
@[to_additive]
lemma Monovary.mul_left (h₁ : Monovary f₁ g) (h₂ : Monovary f₂ g) : Monovary (f₁ * f₂) g :=
fun _i _j hij ↦ mul_le_mul' (h₁ hij) (h₂ hij)
@[to_additive]
lemma Antivary.mul_left (h₁ : Antivary f₁ g) (h₂ : Antivary f₂ g) : Antivary (f₁ * f₂) g :=
fun _i _j hij ↦ mul_le_mul' (h₁ hij) (h₂ hij)
@[to_additive]
lemma Monovary.div_left (h₁ : Monovary f₁ g) (h₂ : Antivary f₂ g) : Monovary (f₁ / f₂) g :=
fun _i _j hij ↦ div_le_div'' (h₁ hij) (h₂ hij)
@[to_additive]
lemma Antivary.div_left (h₁ : Antivary f₁ g) (h₂ : Monovary f₂ g) : Antivary (f₁ / f₂) g :=
fun _i _j hij ↦ div_le_div'' (h₁ hij) (h₂ hij)
@[to_additive] lemma Monovary.pow_left (hfg : Monovary f g) (n : ℕ) : Monovary (f ^ n) g :=
fun _i _j hij ↦ pow_le_pow_left' (hfg hij) _
@[to_additive] lemma Antivary.pow_left (hfg : Antivary f g) (n : ℕ) : Antivary (f ^ n) g :=
fun _i _j hij ↦ pow_le_pow_left' (hfg hij) _
end
section
variable [PartialOrder α] [CommGroup β] [PartialOrder β] [IsOrderedMonoid β]
{s : Set ι} {f f₁ f₂ : ι → α} {g : ι → β}
@[to_additive (attr := simp)]
lemma monovaryOn_inv_right : MonovaryOn f g⁻¹ s ↔ AntivaryOn f g s := by
simpa [MonovaryOn, AntivaryOn] using forall₂_swap
@[to_additive (attr := simp)]
lemma antivaryOn_inv_right : AntivaryOn f g⁻¹ s ↔ MonovaryOn f g s := by
simpa [MonovaryOn, AntivaryOn] using forall₂_swap
@[to_additive (attr := simp)] lemma monovary_inv_right : Monovary f g⁻¹ ↔ Antivary f g := by
simpa [Monovary, Antivary] using forall_swap
@[to_additive (attr := simp)] lemma antivary_inv_right : Antivary f g⁻¹ ↔ Monovary f g := by
simpa [Monovary, Antivary] using forall_swap
end
section
variable [CommGroup α] [PartialOrder α] [IsOrderedMonoid α]
[CommGroup β] [PartialOrder β] [IsOrderedMonoid β]
{s : Set ι} {f f₁ f₂ : ι → α} {g : ι → β}
@[to_additive] lemma monovaryOn_inv : MonovaryOn f⁻¹ g⁻¹ s ↔ MonovaryOn f g s := by simp
@[to_additive] lemma antivaryOn_inv : AntivaryOn f⁻¹ g⁻¹ s ↔ AntivaryOn f g s := by simp
@[to_additive] lemma monovary_inv : Monovary f⁻¹ g⁻¹ ↔ Monovary f g := by simp
@[to_additive] lemma antivary_inv : Antivary f⁻¹ g⁻¹ ↔ Antivary f g := by simp
end
@[to_additive] alias ⟨MonovaryOn.of_inv_left, AntivaryOn.inv_left⟩ := monovaryOn_inv_left
@[to_additive] alias ⟨AntivaryOn.of_inv_left, MonovaryOn.inv_left⟩ := antivaryOn_inv_left
@[to_additive] alias ⟨MonovaryOn.of_inv_right, AntivaryOn.inv_right⟩ := monovaryOn_inv_right
@[to_additive] alias ⟨AntivaryOn.of_inv_right, MonovaryOn.inv_right⟩ := antivaryOn_inv_right
@[to_additive] alias ⟨MonovaryOn.of_inv, MonovaryOn.inv⟩ := monovaryOn_inv
@[to_additive] alias ⟨AntivaryOn.of_inv, AntivaryOn.inv⟩ := antivaryOn_inv
@[to_additive] alias ⟨Monovary.of_inv_left, Antivary.inv_left⟩ := monovary_inv_left
@[to_additive] alias ⟨Antivary.of_inv_left, Monovary.inv_left⟩ := antivary_inv_left
@[to_additive] alias ⟨Monovary.of_inv_right, Antivary.inv_right⟩ := monovary_inv_right
@[to_additive] alias ⟨Antivary.of_inv_right, Monovary.inv_right⟩ := antivary_inv_right
@[to_additive] alias ⟨Monovary.of_inv, Monovary.inv⟩ := monovary_inv
@[to_additive] alias ⟨Antivary.of_inv, Antivary.inv⟩ := antivary_inv
end OrderedCommGroup
section LinearOrderedCommGroup
variable [PartialOrder α] [CommGroup β] [LinearOrder β] [IsOrderedMonoid β] {s : Set ι} {f : ι → α}
{g g₁ g₂ : ι → β}
@[to_additive] lemma MonovaryOn.mul_right (h₁ : MonovaryOn f g₁ s) (h₂ : MonovaryOn f g₂ s) :
MonovaryOn f (g₁ * g₂) s :=
fun _i hi _j hj hij ↦ (lt_or_lt_of_mul_lt_mul hij).elim (h₁ hi hj) <| h₂ hi hj
@[to_additive] lemma AntivaryOn.mul_right (h₁ : AntivaryOn f g₁ s) (h₂ : AntivaryOn f g₂ s) :
AntivaryOn f (g₁ * g₂) s :=
fun _i hi _j hj hij ↦ (lt_or_lt_of_mul_lt_mul hij).elim (h₁ hi hj) <| h₂ hi hj
@[to_additive] lemma MonovaryOn.div_right (h₁ : MonovaryOn f g₁ s) (h₂ : AntivaryOn f g₂ s) :
MonovaryOn f (g₁ / g₂) s :=
fun _i hi _j hj hij ↦ (lt_or_lt_of_div_lt_div hij).elim (h₁ hi hj) <| h₂ hj hi
@[to_additive] lemma AntivaryOn.div_right (h₁ : AntivaryOn f g₁ s) (h₂ : MonovaryOn f g₂ s) :
AntivaryOn f (g₁ / g₂) s :=
fun _i hi _j hj hij ↦ (lt_or_lt_of_div_lt_div hij).elim (h₁ hi hj) <| h₂ hj hi
@[to_additive] lemma MonovaryOn.pow_right (hfg : MonovaryOn f g s) (n : ℕ) :
MonovaryOn f (g ^ n) s := fun _i hi _j hj hij ↦ hfg hi hj <| lt_of_pow_lt_pow_left' _ hij
@[to_additive] lemma AntivaryOn.pow_right (hfg : AntivaryOn f g s) (n : ℕ) :
AntivaryOn f (g ^ n) s := fun _i hi _j hj hij ↦ hfg hi hj <| lt_of_pow_lt_pow_left' _ hij
@[to_additive] lemma Monovary.mul_right (h₁ : Monovary f g₁) (h₂ : Monovary f g₂) :
Monovary f (g₁ * g₂) :=
fun _i _j hij ↦ (lt_or_lt_of_mul_lt_mul hij).elim (fun h ↦ h₁ h) fun h ↦ h₂ h
@[to_additive] lemma Antivary.mul_right (h₁ : Antivary f g₁) (h₂ : Antivary f g₂) :
Antivary f (g₁ * g₂) :=
fun _i _j hij ↦ (lt_or_lt_of_mul_lt_mul hij).elim (fun h ↦ h₁ h) fun h ↦ h₂ h
@[to_additive] lemma Monovary.div_right (h₁ : Monovary f g₁) (h₂ : Antivary f g₂) :
Monovary f (g₁ / g₂) :=
fun _i _j hij ↦ (lt_or_lt_of_div_lt_div hij).elim (fun h ↦ h₁ h) fun h ↦ h₂ h
@[to_additive] lemma Antivary.div_right (h₁ : Antivary f g₁) (h₂ : Monovary f g₂) :
Antivary f (g₁ / g₂) :=
fun _i _j hij ↦ (lt_or_lt_of_div_lt_div hij).elim (fun h ↦ h₁ h) fun h ↦ h₂ h
@[to_additive] lemma Monovary.pow_right (hfg : Monovary f g) (n : ℕ) : Monovary f (g ^ n) :=
fun _i _j hij ↦ hfg <| lt_of_pow_lt_pow_left' _ hij
@[to_additive] lemma Antivary.pow_right (hfg : Antivary f g) (n : ℕ) : Antivary f (g ^ n) :=
fun _i _j hij ↦ hfg <| lt_of_pow_lt_pow_left' _ hij
end LinearOrderedCommGroup
section OrderedSemiring
variable [Semiring α] [PartialOrder α] [IsOrderedRing α] [PartialOrder β]
{s : Set ι} {f f₁ f₂ : ι → α} {g : ι → β}
lemma MonovaryOn.mul_left₀ (hf₁ : ∀ i ∈ s, 0 ≤ f₁ i) (hf₂ : ∀ i ∈ s, 0 ≤ f₂ i)
(h₁ : MonovaryOn f₁ g s) (h₂ : MonovaryOn f₂ g s) : MonovaryOn (f₁ * f₂) g s :=
fun _i hi _j hj hij ↦ mul_le_mul (h₁ hi hj hij) (h₂ hi hj hij) (hf₂ _ hi) (hf₁ _ hj)
lemma AntivaryOn.mul_left₀ (hf₁ : ∀ i ∈ s, 0 ≤ f₁ i) (hf₂ : ∀ i ∈ s, 0 ≤ f₂ i)
(h₁ : AntivaryOn f₁ g s) (h₂ : AntivaryOn f₂ g s) : AntivaryOn (f₁ * f₂) g s :=
fun _i hi _j hj hij ↦ mul_le_mul (h₁ hi hj hij) (h₂ hi hj hij) (hf₂ _ hj) (hf₁ _ hi)
lemma MonovaryOn.pow_left₀ (hf : ∀ i ∈ s, 0 ≤ f i) (hfg : MonovaryOn f g s) (n : ℕ) :
MonovaryOn (f ^ n) g s :=
fun _i hi _j hj hij ↦ pow_le_pow_left₀ (hf _ hi) (hfg hi hj hij) _
lemma AntivaryOn.pow_left₀ (hf : ∀ i ∈ s, 0 ≤ f i) (hfg : AntivaryOn f g s) (n : ℕ) :
AntivaryOn (f ^ n) g s :=
fun _i hi _j hj hij ↦ pow_le_pow_left₀ (hf _ hj) (hfg hi hj hij) _
lemma Monovary.mul_left₀ (hf₁ : 0 ≤ f₁) (hf₂ : 0 ≤ f₂) (h₁ : Monovary f₁ g) (h₂ : Monovary f₂ g) :
Monovary (f₁ * f₂) g := fun _i _j hij ↦ mul_le_mul (h₁ hij) (h₂ hij) (hf₂ _) (hf₁ _)
lemma Antivary.mul_left₀ (hf₁ : 0 ≤ f₁) (hf₂ : 0 ≤ f₂) (h₁ : Antivary f₁ g) (h₂ : Antivary f₂ g) :
Antivary (f₁ * f₂) g := fun _i _j hij ↦ mul_le_mul (h₁ hij) (h₂ hij) (hf₂ _) (hf₁ _)
lemma Monovary.pow_left₀ (hf : 0 ≤ f) (hfg : Monovary f g) (n : ℕ) : Monovary (f ^ n) g :=
fun _i _j hij ↦ pow_le_pow_left₀ (hf _) (hfg hij) _
lemma Antivary.pow_left₀ (hf : 0 ≤ f) (hfg : Antivary f g) (n : ℕ) : Antivary (f ^ n) g :=
fun _i _j hij ↦ pow_le_pow_left₀ (hf _) (hfg hij) _
end OrderedSemiring
section LinearOrderedSemiring
variable [LinearOrder α] [Semiring β] [LinearOrder β] [IsStrictOrderedRing β]
{s : Set ι} {f : ι → α} {g g₁ g₂ : ι → β}
lemma MonovaryOn.mul_right₀ (hg₁ : ∀ i ∈ s, 0 ≤ g₁ i) (hg₂ : ∀ i ∈ s, 0 ≤ g₂ i)
(h₁ : MonovaryOn f g₁ s) (h₂ : MonovaryOn f g₂ s) : MonovaryOn f (g₁ * g₂) s :=
(h₁.symm.mul_left₀ hg₁ hg₂ h₂.symm).symm
lemma AntivaryOn.mul_right₀ (hg₁ : ∀ i ∈ s, 0 ≤ g₁ i) (hg₂ : ∀ i ∈ s, 0 ≤ g₂ i)
(h₁ : AntivaryOn f g₁ s) (h₂ : AntivaryOn f g₂ s) : AntivaryOn f (g₁ * g₂) s :=
(h₁.symm.mul_left₀ hg₁ hg₂ h₂.symm).symm
lemma MonovaryOn.pow_right₀ (hg : ∀ i ∈ s, 0 ≤ g i) (hfg : MonovaryOn f g s) (n : ℕ) :
MonovaryOn f (g ^ n) s := (hfg.symm.pow_left₀ hg _).symm
lemma AntivaryOn.pow_right₀ (hg : ∀ i ∈ s, 0 ≤ g i) (hfg : AntivaryOn f g s) (n : ℕ) :
AntivaryOn f (g ^ n) s := (hfg.symm.pow_left₀ hg _).symm
lemma Monovary.mul_right₀ (hg₁ : 0 ≤ g₁) (hg₂ : 0 ≤ g₂) (h₁ : Monovary f g₁) (h₂ : Monovary f g₂) :
Monovary f (g₁ * g₂) := (h₁.symm.mul_left₀ hg₁ hg₂ h₂.symm).symm
lemma Antivary.mul_right₀ (hg₁ : 0 ≤ g₁) (hg₂ : 0 ≤ g₂) (h₁ : Antivary f g₁) (h₂ : Antivary f g₂) :
Antivary f (g₁ * g₂) := (h₁.symm.mul_left₀ hg₁ hg₂ h₂.symm).symm
lemma Monovary.pow_right₀ (hg : 0 ≤ g) (hfg : Monovary f g) (n : ℕ) : Monovary f (g ^ n) :=
(hfg.symm.pow_left₀ hg _).symm
lemma Antivary.pow_right₀ (hg : 0 ≤ g) (hfg : Antivary f g) (n : ℕ) : Antivary f (g ^ n) :=
(hfg.symm.pow_left₀ hg _).symm
end LinearOrderedSemiring
section LinearOrderedSemifield
section
variable [Semifield α] [LinearOrder α] [IsStrictOrderedRing α] [LinearOrder β]
{s : Set ι} {f f₁ f₂ : ι → α} {g g₁ g₂ : ι → β}
@[simp]
lemma monovaryOn_inv_left₀ (hf : ∀ i ∈ s, 0 < f i) : MonovaryOn f⁻¹ g s ↔ AntivaryOn f g s :=
forall₅_congr fun _i hi _j hj _ ↦ inv_le_inv₀ (hf _ hi) (hf _ hj)
@[simp]
lemma antivaryOn_inv_left₀ (hf : ∀ i ∈ s, 0 < f i) : AntivaryOn f⁻¹ g s ↔ MonovaryOn f g s :=
forall₅_congr fun _i hi _j hj _ ↦ inv_le_inv₀ (hf _ hj) (hf _ hi)
@[simp] lemma monovary_inv_left₀ (hf : StrongLT 0 f) : Monovary f⁻¹ g ↔ Antivary f g :=
forall₃_congr fun _i _j _ ↦ inv_le_inv₀ (hf _) (hf _)
@[simp] lemma antivary_inv_left₀ (hf : StrongLT 0 f) : Antivary f⁻¹ g ↔ Monovary f g :=
forall₃_congr fun _i _j _ ↦ inv_le_inv₀ (hf _) (hf _)
lemma MonovaryOn.div_left₀ (hf₁ : ∀ i ∈ s, 0 ≤ f₁ i) (hf₂ : ∀ i ∈ s, 0 < f₂ i)
(h₁ : MonovaryOn f₁ g s) (h₂ : AntivaryOn f₂ g s) : MonovaryOn (f₁ / f₂) g s :=
fun _i hi _j hj hij ↦ div_le_div₀ (hf₁ _ hj) (h₁ hi hj hij) (hf₂ _ hj) <| h₂ hi hj hij
lemma AntivaryOn.div_left₀ (hf₁ : ∀ i ∈ s, 0 ≤ f₁ i) (hf₂ : ∀ i ∈ s, 0 < f₂ i)
(h₁ : AntivaryOn f₁ g s) (h₂ : MonovaryOn f₂ g s) : AntivaryOn (f₁ / f₂) g s :=
fun _i hi _j hj hij ↦ div_le_div₀ (hf₁ _ hi) (h₁ hi hj hij) (hf₂ _ hi) <| h₂ hi hj hij
lemma Monovary.div_left₀ (hf₁ : 0 ≤ f₁) (hf₂ : StrongLT 0 f₂) (h₁ : Monovary f₁ g)
(h₂ : Antivary f₂ g) : Monovary (f₁ / f₂) g :=
fun _i _j hij ↦ div_le_div₀ (hf₁ _) (h₁ hij) (hf₂ _) <| h₂ hij
lemma Antivary.div_left₀ (hf₁ : 0 ≤ f₁) (hf₂ : StrongLT 0 f₂) (h₁ : Antivary f₁ g)
(h₂ : Monovary f₂ g) : Antivary (f₁ / f₂) g :=
fun _i _j hij ↦ div_le_div₀ (hf₁ _) (h₁ hij) (hf₂ _) <| h₂ hij
end
section
variable [LinearOrder α] [Semifield β] [LinearOrder β] [IsStrictOrderedRing β]
{s : Set ι} {f f₁ f₂ : ι → α} {g g₁ g₂ : ι → β}
@[simp]
lemma monovaryOn_inv_right₀ (hg : ∀ i ∈ s, 0 < g i) : MonovaryOn f g⁻¹ s ↔ AntivaryOn f g s :=
forall₂_swap.trans <| forall₄_congr fun i hi j hj ↦ by simp [inv_lt_inv₀ (hg _ hj) (hg _ hi)]
@[simp]
lemma antivaryOn_inv_right₀ (hg : ∀ i ∈ s, 0 < g i) : AntivaryOn f g⁻¹ s ↔ MonovaryOn f g s :=
forall₂_swap.trans <| forall₄_congr fun i hi j hj ↦ by simp [inv_lt_inv₀ (hg _ hj) (hg _ hi)]
@[simp] lemma monovary_inv_right₀ (hg : StrongLT 0 g) : Monovary f g⁻¹ ↔ Antivary f g :=
forall_swap.trans <| forall₂_congr fun i j ↦ by simp [inv_lt_inv₀ (hg _) (hg _)]
@[simp] lemma antivary_inv_right₀ (hg : StrongLT 0 g) : Antivary f g⁻¹ ↔ Monovary f g :=
forall_swap.trans <| forall₂_congr fun i j ↦ by simp [inv_lt_inv₀ (hg _) (hg _)]
lemma MonovaryOn.div_right₀ (hg₁ : ∀ i ∈ s, 0 ≤ g₁ i) (hg₂ : ∀ i ∈ s, 0 < g₂ i)
(h₁ : MonovaryOn f g₁ s) (h₂ : AntivaryOn f g₂ s) : MonovaryOn f (g₁ / g₂) s :=
(h₁.symm.div_left₀ hg₁ hg₂ h₂.symm).symm
lemma AntivaryOn.div_right₀ (hg₁ : ∀ i ∈ s, 0 ≤ g₁ i) (hg₂ : ∀ i ∈ s, 0 < g₂ i)
(h₁ : AntivaryOn f g₁ s) (h₂ : MonovaryOn f g₂ s) : AntivaryOn f (g₁ / g₂) s :=
(h₁.symm.div_left₀ hg₁ hg₂ h₂.symm).symm
lemma Monovary.div_right₀ (hg₁ : 0 ≤ g₁) (hg₂ : StrongLT 0 g₂) (h₁ : Monovary f g₁)
(h₂ : Antivary f g₂) : Monovary f (g₁ / g₂) := (h₁.symm.div_left₀ hg₁ hg₂ h₂.symm).symm
lemma Antivary.div_right₀ (hg₁ : 0 ≤ g₁) (hg₂ : StrongLT 0 g₂) (h₁ : Antivary f g₁)
(h₂ : Monovary f g₂) : Antivary f (g₁ / g₂) := (h₁.symm.div_left₀ hg₁ hg₂ h₂.symm).symm
end
section
variable [Semifield α] [LinearOrder α] [IsStrictOrderedRing α]
[Semifield β] [LinearOrder β] [IsStrictOrderedRing β]
{s : Set ι} {f f₁ f₂ : ι → α} {g g₁ g₂ : ι → β}
lemma monovaryOn_inv₀ (hf : ∀ i ∈ s, 0 < f i) (hg : ∀ i ∈ s, 0 < g i) :
MonovaryOn f⁻¹ g⁻¹ s ↔ MonovaryOn f g s := by
rw [monovaryOn_inv_left₀ hf, antivaryOn_inv_right₀ hg]
lemma antivaryOn_inv₀ (hf : ∀ i ∈ s, 0 < f i) (hg : ∀ i ∈ s, 0 < g i) :
AntivaryOn f⁻¹ g⁻¹ s ↔ AntivaryOn f g s := by
rw [antivaryOn_inv_left₀ hf, monovaryOn_inv_right₀ hg]
lemma monovary_inv₀ (hf : StrongLT 0 f) (hg : StrongLT 0 g) : Monovary f⁻¹ g⁻¹ ↔ Monovary f g := by
rw [monovary_inv_left₀ hf, antivary_inv_right₀ hg]
lemma antivary_inv₀ (hf : StrongLT 0 f) (hg : StrongLT 0 g) : Antivary f⁻¹ g⁻¹ ↔ Antivary f g := by
rw [antivary_inv_left₀ hf, monovary_inv_right₀ hg]
end
alias ⟨MonovaryOn.of_inv_left₀, AntivaryOn.inv_left₀⟩ := monovaryOn_inv_left₀
alias ⟨AntivaryOn.of_inv_left₀, MonovaryOn.inv_left₀⟩ := antivaryOn_inv_left₀
alias ⟨MonovaryOn.of_inv_right₀, AntivaryOn.inv_right₀⟩ := monovaryOn_inv_right₀
alias ⟨AntivaryOn.of_inv_right₀, MonovaryOn.inv_right₀⟩ := antivaryOn_inv_right₀
alias ⟨MonovaryOn.of_inv₀, MonovaryOn.inv₀⟩ := monovaryOn_inv₀
alias ⟨AntivaryOn.of_inv₀, AntivaryOn.inv₀⟩ := antivaryOn_inv₀
alias ⟨Monovary.of_inv_left₀, Antivary.inv_left₀⟩ := monovary_inv_left₀
alias ⟨Antivary.of_inv_left₀, Monovary.inv_left₀⟩ := antivary_inv_left₀
alias ⟨Monovary.of_inv_right₀, Antivary.inv_right₀⟩ := monovary_inv_right₀
alias ⟨Antivary.of_inv_right₀, Monovary.inv_right₀⟩ := antivary_inv_right₀
alias ⟨Monovary.of_inv₀, Monovary.inv₀⟩ := monovary_inv₀
alias ⟨Antivary.of_inv₀, Antivary.inv₀⟩ := antivary_inv₀
end LinearOrderedSemifield
/-! ### Rearrangement inequality characterisation -/
section LinearOrderedAddCommGroup
| variable [Ring α] [LinearOrder α] [IsStrictOrderedRing α]
[AddCommGroup β] [LinearOrder β] [IsOrderedAddMonoid β] [Module α β]
[OrderedSMul α β] {f : ι → α} {g : ι → β} {s : Set ι}
lemma monovaryOn_iff_forall_smul_nonneg :
| Mathlib/Algebra/Order/Monovary.lean | 360 | 364 |
/-
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.Basic
import Mathlib.CategoryTheory.Limits.Shapes.Kernels
/-!
# Left Homology of short complexes
Given a short complex `S : ShortComplex C`, which consists of two composable
maps `f : X₁ ⟶ X₂` and `g : X₂ ⟶ X₃` such that `f ≫ g = 0`, we shall define
here the "left homology" `S.leftHomology` of `S`. For this, we introduce the
notion of "left homology data". Such an `h : S.LeftHomologyData` consists of the
data of morphisms `i : K ⟶ X₂` and `π : K ⟶ H` such that `i` identifies
`K` with the kernel of `g : X₂ ⟶ X₃`, and that `π` identifies `H` with the cokernel
of the induced map `f' : X₁ ⟶ K`.
When such a `S.LeftHomologyData` exists, we shall say that `[S.HasLeftHomology]`
and we define `S.leftHomology` to be the `H` field of a chosen left homology data.
Similarly, we define `S.cycles` to be the `K` field.
The dual notion is defined in `RightHomologyData.lean`. In `Homology.lean`,
when `S` has two compatible left and right homology data (i.e. they give
the same `H` up to a canonical isomorphism), we shall define `[S.HasHomology]`
and `S.homology`.
-/
namespace CategoryTheory
open Category Limits
namespace ShortComplex
variable {C : Type*} [Category C] [HasZeroMorphisms C] (S : ShortComplex C)
{S₁ S₂ S₃ : ShortComplex C}
/-- A left homology data for a short complex `S` consists of morphisms `i : K ⟶ S.X₂` and
`π : K ⟶ H` such that `i` identifies `K` to the kernel of `g : S.X₂ ⟶ S.X₃`,
and that `π` identifies `H` to the cokernel of the induced map `f' : S.X₁ ⟶ K` -/
structure LeftHomologyData where
/-- a choice of kernel of `S.g : S.X₂ ⟶ S.X₃` -/
K : C
/-- a choice of cokernel of the induced morphism `S.f' : S.X₁ ⟶ K` -/
H : C
/-- the inclusion of cycles in `S.X₂` -/
i : K ⟶ S.X₂
/-- the projection from cycles to the (left) homology -/
π : K ⟶ H
/-- the kernel condition for `i` -/
wi : i ≫ S.g = 0
/-- `i : K ⟶ S.X₂` is a kernel of `g : S.X₂ ⟶ S.X₃` -/
hi : IsLimit (KernelFork.ofι i wi)
/-- the cokernel condition for `π` -/
wπ : hi.lift (KernelFork.ofι _ S.zero) ≫ π = 0
/-- `π : K ⟶ H` is a cokernel of the induced morphism `S.f' : S.X₁ ⟶ K` -/
hπ : IsColimit (CokernelCofork.ofπ π wπ)
initialize_simps_projections LeftHomologyData (-hi, -hπ)
namespace LeftHomologyData
/-- The chosen kernels and cokernels of the limits API give a `LeftHomologyData` -/
@[simps]
noncomputable def ofHasKernelOfHasCokernel
[HasKernel S.g] [HasCokernel (kernel.lift S.g S.f S.zero)] :
S.LeftHomologyData where
K := kernel S.g
H := cokernel (kernel.lift S.g S.f S.zero)
i := kernel.ι _
π := cokernel.π _
wi := kernel.condition _
hi := kernelIsKernel _
wπ := cokernel.condition _
hπ := cokernelIsCokernel _
attribute [reassoc (attr := simp)] wi wπ
variable {S}
variable (h : S.LeftHomologyData) {A : C}
instance : Mono h.i := ⟨fun _ _ => Fork.IsLimit.hom_ext h.hi⟩
instance : Epi h.π := ⟨fun _ _ => Cofork.IsColimit.hom_ext h.hπ⟩
/-- Any morphism `k : A ⟶ S.X₂` that is a cycle (i.e. `k ≫ S.g = 0`) lifts
to a morphism `A ⟶ K` -/
def liftK (k : A ⟶ S.X₂) (hk : k ≫ S.g = 0) : A ⟶ h.K := h.hi.lift (KernelFork.ofι k hk)
@[reassoc (attr := simp)]
lemma liftK_i (k : A ⟶ S.X₂) (hk : k ≫ S.g = 0) : h.liftK k hk ≫ h.i = k :=
h.hi.fac _ WalkingParallelPair.zero
/-- The (left) homology class `A ⟶ H` attached to a cycle `k : A ⟶ S.X₂` -/
@[simp]
def liftH (k : A ⟶ S.X₂) (hk : k ≫ S.g = 0) : A ⟶ h.H := h.liftK k hk ≫ h.π
/-- Given `h : LeftHomologyData S`, this is morphism `S.X₁ ⟶ h.K` induced
by `S.f : S.X₁ ⟶ S.X₂` and the fact that `h.K` is a kernel of `S.g : S.X₂ ⟶ S.X₃`. -/
def f' : S.X₁ ⟶ h.K := h.liftK S.f S.zero
@[reassoc (attr := simp)] lemma f'_i : h.f' ≫ h.i = S.f := liftK_i _ _ _
@[reassoc (attr := simp)] lemma f'_π : h.f' ≫ h.π = 0 := h.wπ
@[reassoc]
lemma liftK_π_eq_zero_of_boundary (k : A ⟶ S.X₂) (x : A ⟶ S.X₁) (hx : k = x ≫ S.f) :
h.liftK k (by rw [hx, assoc, S.zero, comp_zero]) ≫ h.π = 0 := by
rw [show 0 = (x ≫ h.f') ≫ h.π by simp]
congr 1
simp only [← cancel_mono h.i, hx, liftK_i, assoc, f'_i]
/-- For `h : S.LeftHomologyData`, this is a restatement of `h.hπ`, saying that
`π : h.K ⟶ h.H` is a cokernel of `h.f' : S.X₁ ⟶ h.K`. -/
def hπ' : IsColimit (CokernelCofork.ofπ h.π h.f'_π) := h.hπ
/-- The morphism `H ⟶ A` induced by a morphism `k : K ⟶ A` such that `f' ≫ k = 0` -/
def descH (k : h.K ⟶ A) (hk : h.f' ≫ k = 0) : h.H ⟶ A :=
h.hπ.desc (CokernelCofork.ofπ k hk)
@[reassoc (attr := simp)]
lemma π_descH (k : h.K ⟶ A) (hk : h.f' ≫ k = 0) : h.π ≫ h.descH k hk = k :=
h.hπ.fac (CokernelCofork.ofπ k hk) WalkingParallelPair.one
lemma isIso_i (hg : S.g = 0) : IsIso h.i :=
⟨h.liftK (𝟙 S.X₂) (by rw [hg, id_comp]),
by simp only [← cancel_mono h.i, id_comp, assoc, liftK_i, comp_id], liftK_i _ _ _⟩
lemma isIso_π (hf : S.f = 0) : IsIso h.π := by
have ⟨φ, hφ⟩ := CokernelCofork.IsColimit.desc' h.hπ' (𝟙 _)
(by rw [← cancel_mono h.i, comp_id, f'_i, zero_comp, hf])
dsimp at hφ
exact ⟨φ, hφ, by rw [← cancel_epi h.π, reassoc_of% hφ, comp_id]⟩
variable (S)
/-- When the second map `S.g` is zero, this is the left homology data on `S` given
by any colimit cokernel cofork of `S.f` -/
@[simps]
def ofIsColimitCokernelCofork (hg : S.g = 0) (c : CokernelCofork S.f) (hc : IsColimit c) :
S.LeftHomologyData where
K := S.X₂
H := c.pt
i := 𝟙 _
π := c.π
wi := by rw [id_comp, hg]
hi := KernelFork.IsLimit.ofId _ hg
wπ := CokernelCofork.condition _
hπ := IsColimit.ofIsoColimit hc (Cofork.ext (Iso.refl _))
@[simp] lemma ofIsColimitCokernelCofork_f' (hg : S.g = 0) (c : CokernelCofork S.f)
(hc : IsColimit c) : (ofIsColimitCokernelCofork S hg c hc).f' = S.f := by
rw [← cancel_mono (ofIsColimitCokernelCofork S hg c hc).i, f'_i,
ofIsColimitCokernelCofork_i]
dsimp
rw [comp_id]
/-- When the second map `S.g` is zero, this is the left homology data on `S` given by
the chosen `cokernel S.f` -/
@[simps!]
noncomputable def ofHasCokernel [HasCokernel S.f] (hg : S.g = 0) : S.LeftHomologyData :=
ofIsColimitCokernelCofork S hg _ (cokernelIsCokernel _)
/-- When the first map `S.f` is zero, this is the left homology data on `S` given
by any limit kernel fork of `S.g` -/
@[simps]
def ofIsLimitKernelFork (hf : S.f = 0) (c : KernelFork S.g) (hc : IsLimit c) :
S.LeftHomologyData where
K := c.pt
H := c.pt
i := c.ι
π := 𝟙 _
wi := KernelFork.condition _
hi := IsLimit.ofIsoLimit hc (Fork.ext (Iso.refl _))
wπ := Fork.IsLimit.hom_ext hc (by
dsimp
simp only [comp_id, zero_comp, Fork.IsLimit.lift_ι, Fork.ι_ofι, hf])
hπ := CokernelCofork.IsColimit.ofId _ (Fork.IsLimit.hom_ext hc (by
dsimp
simp only [comp_id, zero_comp, Fork.IsLimit.lift_ι, Fork.ι_ofι, hf]))
@[simp] lemma ofIsLimitKernelFork_f' (hf : S.f = 0) (c : KernelFork S.g) (hc : IsLimit c) :
(ofIsLimitKernelFork S hf c hc).f' = 0 := by
rw [← cancel_mono (ofIsLimitKernelFork S hf c hc).i, f'_i, hf, zero_comp]
/-- When the first map `S.f` is zero, this is the left homology data on `S` given
by the chosen `kernel S.g` -/
@[simp]
noncomputable def ofHasKernel [HasKernel S.g] (hf : S.f = 0) : S.LeftHomologyData :=
ofIsLimitKernelFork S hf _ (kernelIsKernel _)
/-- When both `S.f` and `S.g` are zero, the middle object `S.X₂` gives a left homology data on S -/
@[simps]
def ofZeros (hf : S.f = 0) (hg : S.g = 0) : S.LeftHomologyData where
K := S.X₂
H := S.X₂
i := 𝟙 _
π := 𝟙 _
wi := by rw [id_comp, hg]
hi := KernelFork.IsLimit.ofId _ hg
wπ := by
change S.f ≫ 𝟙 _ = 0
simp only [hf, zero_comp]
hπ := CokernelCofork.IsColimit.ofId _ hf
@[simp] lemma ofZeros_f' (hf : S.f = 0) (hg : S.g = 0) :
(ofZeros S hf hg).f' = 0 := by
rw [← cancel_mono ((ofZeros S hf hg).i), zero_comp, f'_i, hf]
end LeftHomologyData
/-- A short complex `S` has left homology when there exists a `S.LeftHomologyData` -/
class HasLeftHomology : Prop where
condition : Nonempty S.LeftHomologyData
/-- A chosen `S.LeftHomologyData` for a short complex `S` that has left homology -/
noncomputable def leftHomologyData [S.HasLeftHomology] :
S.LeftHomologyData := HasLeftHomology.condition.some
variable {S}
namespace HasLeftHomology
lemma mk' (h : S.LeftHomologyData) : HasLeftHomology S := ⟨Nonempty.intro h⟩
instance of_hasKernel_of_hasCokernel [HasKernel S.g] [HasCokernel (kernel.lift S.g S.f S.zero)] :
S.HasLeftHomology := HasLeftHomology.mk' (LeftHomologyData.ofHasKernelOfHasCokernel S)
instance of_hasCokernel {X Y : C} (f : X ⟶ Y) (Z : C) [HasCokernel f] :
(ShortComplex.mk f (0 : Y ⟶ Z) comp_zero).HasLeftHomology :=
HasLeftHomology.mk' (LeftHomologyData.ofHasCokernel _ rfl)
instance of_hasKernel {Y Z : C} (g : Y ⟶ Z) (X : C) [HasKernel g] :
(ShortComplex.mk (0 : X ⟶ Y) g zero_comp).HasLeftHomology :=
HasLeftHomology.mk' (LeftHomologyData.ofHasKernel _ rfl)
instance of_zeros (X Y Z : C) :
(ShortComplex.mk (0 : X ⟶ Y) (0 : Y ⟶ Z) zero_comp).HasLeftHomology :=
HasLeftHomology.mk' (LeftHomologyData.ofZeros _ rfl rfl)
end HasLeftHomology
section
variable (φ : S₁ ⟶ S₂) (h₁ : S₁.LeftHomologyData) (h₂ : S₂.LeftHomologyData)
/-- Given left homology data `h₁` and `h₂` for two short complexes `S₁` and `S₂`,
a `LeftHomologyMapData` for a morphism `φ : S₁ ⟶ S₂`
consists of a description of the induced morphisms on the `K` (cycles)
and `H` (left homology) fields of `h₁` and `h₂`. -/
structure LeftHomologyMapData where
/-- the induced map on cycles -/
φK : h₁.K ⟶ h₂.K
/-- the induced map on left homology -/
φH : h₁.H ⟶ h₂.H
/-- commutation with `i` -/
commi : φK ≫ h₂.i = h₁.i ≫ φ.τ₂ := by aesop_cat
/-- commutation with `f'` -/
commf' : h₁.f' ≫ φK = φ.τ₁ ≫ h₂.f' := by aesop_cat
/-- commutation with `π` -/
commπ : h₁.π ≫ φH = φK ≫ h₂.π := by aesop_cat
namespace LeftHomologyMapData
attribute [reassoc (attr := simp)] commi commf' commπ
/-- The left homology map data associated to the zero morphism between two short complexes. -/
@[simps]
def zero (h₁ : S₁.LeftHomologyData) (h₂ : S₂.LeftHomologyData) :
LeftHomologyMapData 0 h₁ h₂ where
φK := 0
φH := 0
/-- The left homology map data associated to the identity morphism of a short complex. -/
@[simps]
def id (h : S.LeftHomologyData) : LeftHomologyMapData (𝟙 S) h h where
φK := 𝟙 _
φH := 𝟙 _
/-- The composition of left homology map data. -/
@[simps]
def comp {φ : S₁ ⟶ S₂} {φ' : S₂ ⟶ S₃}
{h₁ : S₁.LeftHomologyData} {h₂ : S₂.LeftHomologyData} {h₃ : S₃.LeftHomologyData}
(ψ : LeftHomologyMapData φ h₁ h₂) (ψ' : LeftHomologyMapData φ' h₂ h₃) :
LeftHomologyMapData (φ ≫ φ') h₁ h₃ where
φK := ψ.φK ≫ ψ'.φK
φH := ψ.φH ≫ ψ'.φH
instance : Subsingleton (LeftHomologyMapData φ h₁ h₂) :=
⟨fun ψ₁ ψ₂ => by
have hK : ψ₁.φK = ψ₂.φK := by rw [← cancel_mono h₂.i, commi, commi]
have hH : ψ₁.φH = ψ₂.φH := by rw [← cancel_epi h₁.π, commπ, commπ, hK]
cases ψ₁
cases ψ₂
congr⟩
instance : Inhabited (LeftHomologyMapData φ h₁ h₂) := ⟨by
let φK : h₁.K ⟶ h₂.K := h₂.liftK (h₁.i ≫ φ.τ₂)
(by rw [assoc, φ.comm₂₃, h₁.wi_assoc, zero_comp])
have commf' : h₁.f' ≫ φK = φ.τ₁ ≫ h₂.f' := by
rw [← cancel_mono h₂.i, assoc, assoc, LeftHomologyData.liftK_i,
LeftHomologyData.f'_i_assoc, LeftHomologyData.f'_i, φ.comm₁₂]
let φH : h₁.H ⟶ h₂.H := h₁.descH (φK ≫ h₂.π)
(by rw [reassoc_of% commf', h₂.f'_π, comp_zero])
exact ⟨φK, φH, by simp [φK], commf', by simp [φH]⟩⟩
instance : Unique (LeftHomologyMapData φ h₁ h₂) := Unique.mk' _
variable {φ h₁ h₂}
lemma congr_φH {γ₁ γ₂ : LeftHomologyMapData φ h₁ h₂} (eq : γ₁ = γ₂) : γ₁.φH = γ₂.φH := by rw [eq]
lemma congr_φK {γ₁ γ₂ : LeftHomologyMapData φ h₁ h₂} (eq : γ₁ = γ₂) : γ₁.φK = γ₂.φK := by rw [eq]
/-- When `S₁.f`, `S₁.g`, `S₂.f` and `S₂.g` are all zero, the action on left homology of a
morphism `φ : S₁ ⟶ S₂` is given by the action `φ.τ₂` on the middle objects. -/
@[simps]
def ofZeros (φ : S₁ ⟶ S₂) (hf₁ : S₁.f = 0) (hg₁ : S₁.g = 0) (hf₂ : S₂.f = 0) (hg₂ : S₂.g = 0) :
LeftHomologyMapData φ (LeftHomologyData.ofZeros S₁ hf₁ hg₁)
(LeftHomologyData.ofZeros S₂ hf₂ hg₂) where
φK := φ.τ₂
φH := φ.τ₂
/-- When `S₁.g` and `S₂.g` are zero and we have chosen colimit cokernel coforks `c₁` and `c₂`
for `S₁.f` and `S₂.f` respectively, the action on left homology of a morphism `φ : S₁ ⟶ S₂` of
short complexes is given by the unique morphism `f : c₁.pt ⟶ c₂.pt` such that
`φ.τ₂ ≫ c₂.π = c₁.π ≫ f`. -/
@[simps]
def ofIsColimitCokernelCofork (φ : S₁ ⟶ S₂)
(hg₁ : S₁.g = 0) (c₁ : CokernelCofork S₁.f) (hc₁ : IsColimit c₁)
(hg₂ : S₂.g = 0) (c₂ : CokernelCofork S₂.f) (hc₂ : IsColimit c₂) (f : c₁.pt ⟶ c₂.pt)
(comm : φ.τ₂ ≫ c₂.π = c₁.π ≫ f) :
LeftHomologyMapData φ (LeftHomologyData.ofIsColimitCokernelCofork S₁ hg₁ c₁ hc₁)
(LeftHomologyData.ofIsColimitCokernelCofork S₂ hg₂ c₂ hc₂) where
φK := φ.τ₂
φH := f
commπ := comm.symm
commf' := by simp only [LeftHomologyData.ofIsColimitCokernelCofork_f', φ.comm₁₂]
/-- When `S₁.f` and `S₂.f` are zero and we have chosen limit kernel forks `c₁` and `c₂`
for `S₁.g` and `S₂.g` respectively, the action on left homology of a morphism `φ : S₁ ⟶ S₂` of
short complexes is given by the unique morphism `f : c₁.pt ⟶ c₂.pt` such that
`c₁.ι ≫ φ.τ₂ = f ≫ c₂.ι`. -/
@[simps]
def ofIsLimitKernelFork (φ : S₁ ⟶ S₂)
(hf₁ : S₁.f = 0) (c₁ : KernelFork S₁.g) (hc₁ : IsLimit c₁)
(hf₂ : S₂.f = 0) (c₂ : KernelFork S₂.g) (hc₂ : IsLimit c₂) (f : c₁.pt ⟶ c₂.pt)
(comm : c₁.ι ≫ φ.τ₂ = f ≫ c₂.ι) :
LeftHomologyMapData φ (LeftHomologyData.ofIsLimitKernelFork S₁ hf₁ c₁ hc₁)
(LeftHomologyData.ofIsLimitKernelFork S₂ hf₂ c₂ hc₂) where
φK := f
φH := f
commi := comm.symm
variable (S)
/-- When both maps `S.f` and `S.g` of a short complex `S` are zero, this is the left homology map
data (for the identity of `S`) which relates the left homology data `ofZeros` and
`ofIsColimitCokernelCofork`. -/
@[simps]
def compatibilityOfZerosOfIsColimitCokernelCofork (hf : S.f = 0) (hg : S.g = 0)
(c : CokernelCofork S.f) (hc : IsColimit c) :
LeftHomologyMapData (𝟙 S) (LeftHomologyData.ofZeros S hf hg)
(LeftHomologyData.ofIsColimitCokernelCofork S hg c hc) where
φK := 𝟙 _
φH := c.π
/-- When both maps `S.f` and `S.g` of a short complex `S` are zero, this is the left homology map
data (for the identity of `S`) which relates the left homology data
`LeftHomologyData.ofIsLimitKernelFork` and `ofZeros` . -/
@[simps]
def compatibilityOfZerosOfIsLimitKernelFork (hf : S.f = 0) (hg : S.g = 0)
(c : KernelFork S.g) (hc : IsLimit c) :
LeftHomologyMapData (𝟙 S) (LeftHomologyData.ofIsLimitKernelFork S hf c hc)
(LeftHomologyData.ofZeros S hf hg) where
φK := c.ι
φH := c.ι
end LeftHomologyMapData
end
section
variable (S)
variable [S.HasLeftHomology]
/-- The left homology of a short complex, given by the `H` field of a chosen left homology data. -/
noncomputable def leftHomology : C := S.leftHomologyData.H
-- `S.leftHomology` is the simp normal form.
@[simp] lemma leftHomologyData_H : S.leftHomologyData.H = S.leftHomology := rfl
/-- The cycles of a short complex, given by the `K` field of a chosen left homology data. -/
noncomputable def cycles : C := S.leftHomologyData.K
/-- The "homology class" map `S.cycles ⟶ S.leftHomology`. -/
noncomputable def leftHomologyπ : S.cycles ⟶ S.leftHomology := S.leftHomologyData.π
/-- The inclusion `S.cycles ⟶ S.X₂`. -/
noncomputable def iCycles : S.cycles ⟶ S.X₂ := S.leftHomologyData.i
/-- The "boundaries" map `S.X₁ ⟶ S.cycles`. (Note that in this homology API, we make no use
of the "image" of this morphism, which under some categorical assumptions would be a subobject
of `S.X₂` contained in `S.cycles`.) -/
noncomputable def toCycles : S.X₁ ⟶ S.cycles := S.leftHomologyData.f'
@[reassoc (attr := simp)]
lemma iCycles_g : S.iCycles ≫ S.g = 0 := S.leftHomologyData.wi
@[reassoc (attr := simp)]
lemma toCycles_i : S.toCycles ≫ S.iCycles = S.f := S.leftHomologyData.f'_i
instance : Mono S.iCycles := by
dsimp only [iCycles]
infer_instance
instance : Epi S.leftHomologyπ := by
dsimp only [leftHomologyπ]
infer_instance
lemma leftHomology_ext_iff {A : C} (f₁ f₂ : S.leftHomology ⟶ A) :
f₁ = f₂ ↔ S.leftHomologyπ ≫ f₁ = S.leftHomologyπ ≫ f₂ := by
rw [cancel_epi]
@[ext]
lemma leftHomology_ext {A : C} (f₁ f₂ : S.leftHomology ⟶ A)
(h : S.leftHomologyπ ≫ f₁ = S.leftHomologyπ ≫ f₂) : f₁ = f₂ := by
simpa only [leftHomology_ext_iff] using h
lemma cycles_ext_iff {A : C} (f₁ f₂ : A ⟶ S.cycles) :
f₁ = f₂ ↔ f₁ ≫ S.iCycles = f₂ ≫ S.iCycles := by
rw [cancel_mono]
@[ext]
lemma cycles_ext {A : C} (f₁ f₂ : A ⟶ S.cycles) (h : f₁ ≫ S.iCycles = f₂ ≫ S.iCycles) :
f₁ = f₂ := by
simpa only [cycles_ext_iff] using h
lemma isIso_iCycles (hg : S.g = 0) : IsIso S.iCycles :=
LeftHomologyData.isIso_i _ hg
/-- When `S.g = 0`, this is the canonical isomorphism `S.cycles ≅ S.X₂` induced by `S.iCycles`. -/
@[simps! hom]
noncomputable def cyclesIsoX₂ (hg : S.g = 0) : S.cycles ≅ S.X₂ := by
have := S.isIso_iCycles hg
exact asIso S.iCycles
@[reassoc (attr := simp)]
lemma cyclesIsoX₂_hom_inv_id (hg : S.g = 0) :
S.iCycles ≫ (S.cyclesIsoX₂ hg).inv = 𝟙 _ := (S.cyclesIsoX₂ hg).hom_inv_id
@[reassoc (attr := simp)]
lemma cyclesIsoX₂_inv_hom_id (hg : S.g = 0) :
(S.cyclesIsoX₂ hg).inv ≫ S.iCycles = 𝟙 _ := (S.cyclesIsoX₂ hg).inv_hom_id
lemma isIso_leftHomologyπ (hf : S.f = 0) : IsIso S.leftHomologyπ :=
LeftHomologyData.isIso_π _ hf
/-- When `S.f = 0`, this is the canonical isomorphism `S.cycles ≅ S.leftHomology` induced
by `S.leftHomologyπ`. -/
@[simps! hom]
noncomputable def cyclesIsoLeftHomology (hf : S.f = 0) : S.cycles ≅ S.leftHomology := by
have := S.isIso_leftHomologyπ hf
exact asIso S.leftHomologyπ
@[reassoc (attr := simp)]
lemma cyclesIsoLeftHomology_hom_inv_id (hf : S.f = 0) :
S.leftHomologyπ ≫ (S.cyclesIsoLeftHomology hf).inv = 𝟙 _ :=
(S.cyclesIsoLeftHomology hf).hom_inv_id
@[reassoc (attr := simp)]
lemma cyclesIsoLeftHomology_inv_hom_id (hf : S.f = 0) :
(S.cyclesIsoLeftHomology hf).inv ≫ S.leftHomologyπ = 𝟙 _ :=
(S.cyclesIsoLeftHomology hf).inv_hom_id
end
section
variable (φ : S₁ ⟶ S₂) (h₁ : S₁.LeftHomologyData) (h₂ : S₂.LeftHomologyData)
/-- The (unique) left homology map data associated to a morphism of short complexes that
are both equipped with left homology data. -/
def leftHomologyMapData : LeftHomologyMapData φ h₁ h₂ := default
/-- Given a morphism `φ : S₁ ⟶ S₂` of short complexes and left homology data `h₁` and `h₂`
for `S₁` and `S₂` respectively, this is the induced left homology map `h₁.H ⟶ h₁.H`. -/
def leftHomologyMap' : h₁.H ⟶ h₂.H := (leftHomologyMapData φ _ _).φH
/-- Given a morphism `φ : S₁ ⟶ S₂` of short complexes and left homology data `h₁` and `h₂`
for `S₁` and `S₂` respectively, this is the induced morphism `h₁.K ⟶ h₁.K` on cycles. -/
def cyclesMap' : h₁.K ⟶ h₂.K := (leftHomologyMapData φ _ _).φK
@[reassoc (attr := simp)]
lemma cyclesMap'_i : cyclesMap' φ h₁ h₂ ≫ h₂.i = h₁.i ≫ φ.τ₂ :=
LeftHomologyMapData.commi _
@[reassoc (attr := simp)]
lemma f'_cyclesMap' : h₁.f' ≫ cyclesMap' φ h₁ h₂ = φ.τ₁ ≫ h₂.f' := by
simp only [← cancel_mono h₂.i, assoc, φ.comm₁₂, cyclesMap'_i,
LeftHomologyData.f'_i_assoc, LeftHomologyData.f'_i]
@[reassoc (attr := simp)]
lemma leftHomologyπ_naturality' :
h₁.π ≫ leftHomologyMap' φ h₁ h₂ = cyclesMap' φ h₁ h₂ ≫ h₂.π :=
LeftHomologyMapData.commπ _
end
section
variable [HasLeftHomology S₁] [HasLeftHomology S₂] (φ : S₁ ⟶ S₂)
/-- The (left) homology map `S₁.leftHomology ⟶ S₂.leftHomology` induced by a morphism
`S₁ ⟶ S₂` of short complexes. -/
noncomputable def leftHomologyMap : S₁.leftHomology ⟶ S₂.leftHomology :=
leftHomologyMap' φ _ _
/-- The morphism `S₁.cycles ⟶ S₂.cycles` induced by a morphism `S₁ ⟶ S₂` of short complexes. -/
noncomputable def cyclesMap : S₁.cycles ⟶ S₂.cycles := cyclesMap' φ _ _
@[reassoc (attr := simp)]
lemma cyclesMap_i : cyclesMap φ ≫ S₂.iCycles = S₁.iCycles ≫ φ.τ₂ :=
cyclesMap'_i _ _ _
@[reassoc (attr := simp)]
lemma toCycles_naturality : S₁.toCycles ≫ cyclesMap φ = φ.τ₁ ≫ S₂.toCycles :=
f'_cyclesMap' _ _ _
@[reassoc (attr := simp)]
lemma leftHomologyπ_naturality :
S₁.leftHomologyπ ≫ leftHomologyMap φ = cyclesMap φ ≫ S₂.leftHomologyπ :=
leftHomologyπ_naturality' _ _ _
end
namespace LeftHomologyMapData
variable {φ : S₁ ⟶ S₂} {h₁ : S₁.LeftHomologyData} {h₂ : S₂.LeftHomologyData}
(γ : LeftHomologyMapData φ h₁ h₂)
lemma leftHomologyMap'_eq : leftHomologyMap' φ h₁ h₂ = γ.φH :=
LeftHomologyMapData.congr_φH (Subsingleton.elim _ _)
lemma cyclesMap'_eq : cyclesMap' φ h₁ h₂ = γ.φK :=
LeftHomologyMapData.congr_φK (Subsingleton.elim _ _)
end LeftHomologyMapData
@[simp]
lemma leftHomologyMap'_id (h : S.LeftHomologyData) :
leftHomologyMap' (𝟙 S) h h = 𝟙 _ :=
(LeftHomologyMapData.id h).leftHomologyMap'_eq
@[simp]
lemma cyclesMap'_id (h : S.LeftHomologyData) :
cyclesMap' (𝟙 S) h h = 𝟙 _ :=
(LeftHomologyMapData.id h).cyclesMap'_eq
variable (S)
@[simp]
lemma leftHomologyMap_id [HasLeftHomology S] :
leftHomologyMap (𝟙 S) = 𝟙 _ :=
leftHomologyMap'_id _
@[simp]
lemma cyclesMap_id [HasLeftHomology S] :
cyclesMap (𝟙 S) = 𝟙 _ :=
cyclesMap'_id _
@[simp]
lemma leftHomologyMap'_zero (h₁ : S₁.LeftHomologyData) (h₂ : S₂.LeftHomologyData) :
leftHomologyMap' 0 h₁ h₂ = 0 :=
(LeftHomologyMapData.zero h₁ h₂).leftHomologyMap'_eq
@[simp]
lemma cyclesMap'_zero (h₁ : S₁.LeftHomologyData) (h₂ : S₂.LeftHomologyData) :
cyclesMap' 0 h₁ h₂ = 0 :=
(LeftHomologyMapData.zero h₁ h₂).cyclesMap'_eq
variable (S₁ S₂)
@[simp]
lemma leftHomologyMap_zero [HasLeftHomology S₁] [HasLeftHomology S₂] :
leftHomologyMap (0 : S₁ ⟶ S₂) = 0 :=
leftHomologyMap'_zero _ _
@[simp]
lemma cyclesMap_zero [HasLeftHomology S₁] [HasLeftHomology S₂] :
cyclesMap (0 : S₁ ⟶ S₂) = 0 :=
cyclesMap'_zero _ _
variable {S₁ S₂}
@[reassoc]
lemma leftHomologyMap'_comp (φ₁ : S₁ ⟶ S₂) (φ₂ : S₂ ⟶ S₃)
(h₁ : S₁.LeftHomologyData) (h₂ : S₂.LeftHomologyData) (h₃ : S₃.LeftHomologyData) :
leftHomologyMap' (φ₁ ≫ φ₂) h₁ h₃ = leftHomologyMap' φ₁ h₁ h₂ ≫
leftHomologyMap' φ₂ h₂ h₃ := by
let γ₁ := leftHomologyMapData φ₁ h₁ h₂
let γ₂ := leftHomologyMapData φ₂ h₂ h₃
rw [γ₁.leftHomologyMap'_eq, γ₂.leftHomologyMap'_eq, (γ₁.comp γ₂).leftHomologyMap'_eq,
LeftHomologyMapData.comp_φH]
@[reassoc]
lemma cyclesMap'_comp (φ₁ : S₁ ⟶ S₂) (φ₂ : S₂ ⟶ S₃)
(h₁ : S₁.LeftHomologyData) (h₂ : S₂.LeftHomologyData) (h₃ : S₃.LeftHomologyData) :
cyclesMap' (φ₁ ≫ φ₂) h₁ h₃ = cyclesMap' φ₁ h₁ h₂ ≫ cyclesMap' φ₂ h₂ h₃ := by
let γ₁ := leftHomologyMapData φ₁ h₁ h₂
let γ₂ := leftHomologyMapData φ₂ h₂ h₃
rw [γ₁.cyclesMap'_eq, γ₂.cyclesMap'_eq, (γ₁.comp γ₂).cyclesMap'_eq,
LeftHomologyMapData.comp_φK]
@[reassoc]
lemma leftHomologyMap_comp [HasLeftHomology S₁] [HasLeftHomology S₂] [HasLeftHomology S₃]
(φ₁ : S₁ ⟶ S₂) (φ₂ : S₂ ⟶ S₃) :
leftHomologyMap (φ₁ ≫ φ₂) = leftHomologyMap φ₁ ≫ leftHomologyMap φ₂ :=
leftHomologyMap'_comp _ _ _ _ _
@[reassoc]
lemma cyclesMap_comp [HasLeftHomology S₁] [HasLeftHomology S₂] [HasLeftHomology S₃]
(φ₁ : S₁ ⟶ S₂) (φ₂ : S₂ ⟶ S₃) :
cyclesMap (φ₁ ≫ φ₂) = cyclesMap φ₁ ≫ cyclesMap φ₂ :=
cyclesMap'_comp _ _ _ _ _
attribute [simp] leftHomologyMap_comp cyclesMap_comp
/-- An isomorphism of short complexes `S₁ ≅ S₂` induces an isomorphism on the `H` fields
of left homology data of `S₁` and `S₂`. -/
@[simps]
def leftHomologyMapIso' (e : S₁ ≅ S₂) (h₁ : S₁.LeftHomologyData)
(h₂ : S₂.LeftHomologyData) : h₁.H ≅ h₂.H where
hom := leftHomologyMap' e.hom h₁ h₂
inv := leftHomologyMap' e.inv h₂ h₁
hom_inv_id := by rw [← leftHomologyMap'_comp, e.hom_inv_id, leftHomologyMap'_id]
inv_hom_id := by rw [← leftHomologyMap'_comp, e.inv_hom_id, leftHomologyMap'_id]
instance isIso_leftHomologyMap'_of_isIso (φ : S₁ ⟶ S₂) [IsIso φ]
(h₁ : S₁.LeftHomologyData) (h₂ : S₂.LeftHomologyData) :
IsIso (leftHomologyMap' φ h₁ h₂) :=
(inferInstance : IsIso (leftHomologyMapIso' (asIso φ) h₁ h₂).hom)
/-- An isomorphism of short complexes `S₁ ≅ S₂` induces an isomorphism on the `K` fields
of left homology data of `S₁` and `S₂`. -/
@[simps]
def cyclesMapIso' (e : S₁ ≅ S₂) (h₁ : S₁.LeftHomologyData)
(h₂ : S₂.LeftHomologyData) : h₁.K ≅ h₂.K where
hom := cyclesMap' e.hom h₁ h₂
inv := cyclesMap' e.inv h₂ h₁
hom_inv_id := by rw [← cyclesMap'_comp, e.hom_inv_id, cyclesMap'_id]
inv_hom_id := by rw [← cyclesMap'_comp, e.inv_hom_id, cyclesMap'_id]
instance isIso_cyclesMap'_of_isIso (φ : S₁ ⟶ S₂) [IsIso φ]
(h₁ : S₁.LeftHomologyData) (h₂ : S₂.LeftHomologyData) :
IsIso (cyclesMap' φ h₁ h₂) :=
(inferInstance : IsIso (cyclesMapIso' (asIso φ) h₁ h₂).hom)
/-- The isomorphism `S₁.leftHomology ≅ S₂.leftHomology` induced by an isomorphism of
short complexes `S₁ ≅ S₂`. -/
@[simps]
noncomputable def leftHomologyMapIso (e : S₁ ≅ S₂) [S₁.HasLeftHomology]
[S₂.HasLeftHomology] : S₁.leftHomology ≅ S₂.leftHomology where
hom := leftHomologyMap e.hom
inv := leftHomologyMap e.inv
hom_inv_id := by rw [← leftHomologyMap_comp, e.hom_inv_id, leftHomologyMap_id]
inv_hom_id := by rw [← leftHomologyMap_comp, e.inv_hom_id, leftHomologyMap_id]
instance isIso_leftHomologyMap_of_iso (φ : S₁ ⟶ S₂)
[IsIso φ] [S₁.HasLeftHomology] [S₂.HasLeftHomology] :
IsIso (leftHomologyMap φ) :=
(inferInstance : IsIso (leftHomologyMapIso (asIso φ)).hom)
/-- The isomorphism `S₁.cycles ≅ S₂.cycles` induced by an isomorphism
of short complexes `S₁ ≅ S₂`. -/
@[simps]
noncomputable def cyclesMapIso (e : S₁ ≅ S₂) [S₁.HasLeftHomology]
[S₂.HasLeftHomology] : S₁.cycles ≅ S₂.cycles where
hom := cyclesMap e.hom
inv := cyclesMap e.inv
hom_inv_id := by rw [← cyclesMap_comp, e.hom_inv_id, cyclesMap_id]
inv_hom_id := by rw [← cyclesMap_comp, e.inv_hom_id, cyclesMap_id]
instance isIso_cyclesMap_of_iso (φ : S₁ ⟶ S₂) [IsIso φ] [S₁.HasLeftHomology]
[S₂.HasLeftHomology] : IsIso (cyclesMap φ) :=
(inferInstance : IsIso (cyclesMapIso (asIso φ)).hom)
variable {S}
namespace LeftHomologyData
variable (h : S.LeftHomologyData) [S.HasLeftHomology]
/-- The isomorphism `S.leftHomology ≅ h.H` induced by a left homology data `h` for a
short complex `S`. -/
noncomputable def leftHomologyIso : S.leftHomology ≅ h.H :=
leftHomologyMapIso' (Iso.refl _) _ _
/-- The isomorphism `S.cycles ≅ h.K` induced by a left homology data `h` for a
short complex `S`. -/
noncomputable def cyclesIso : S.cycles ≅ h.K :=
| cyclesMapIso' (Iso.refl _) _ _
@[reassoc (attr := simp)]
lemma cyclesIso_hom_comp_i : h.cyclesIso.hom ≫ h.i = S.iCycles := by
| Mathlib/Algebra/Homology/ShortComplex/LeftHomology.lean | 705 | 708 |
/-
Copyright (c) 2017 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro, Floris van Doorn, Violeta Hernández Palacios
-/
import Mathlib.SetTheory.Cardinal.Arithmetic
import Mathlib.SetTheory.Ordinal.FixedPoint
/-!
# Cofinality
This file contains the definition of cofinality of an order and an ordinal number.
## Main Definitions
* `Order.cof r` is the cofinality of a reflexive order. This is the smallest cardinality of a subset
`s` that is *cofinal*, i.e. `∀ x, ∃ y ∈ s, r x y`.
* `Ordinal.cof o` is the cofinality of the ordinal `o` when viewed as a linear order.
## Main Statements
* `Cardinal.lt_power_cof`: A consequence of König's theorem stating that `c < c ^ c.ord.cof` for
`c ≥ ℵ₀`.
## Implementation Notes
* The cofinality is defined for ordinals.
If `c` is a cardinal number, its cofinality is `c.ord.cof`.
-/
noncomputable section
open Function Cardinal Set Order
open scoped Ordinal
universe u v w
variable {α : Type u} {β : Type v} {r : α → α → Prop} {s : β → β → Prop}
/-! ### Cofinality of orders -/
attribute [local instance] IsRefl.swap
namespace Order
/-- Cofinality of a reflexive order `≼`. This is the smallest cardinality
of a subset `S : Set α` such that `∀ a, ∃ b ∈ S, a ≼ b`. -/
def cof (r : α → α → Prop) : Cardinal :=
sInf { c | ∃ S : Set α, (∀ a, ∃ b ∈ S, r a b) ∧ #S = c }
/-- The set in the definition of `Order.cof` is nonempty. -/
private theorem cof_nonempty (r : α → α → Prop) [IsRefl α r] :
{ c | ∃ S : Set α, (∀ a, ∃ b ∈ S, r a b) ∧ #S = c }.Nonempty :=
⟨_, Set.univ, fun a => ⟨a, ⟨⟩, refl _⟩, rfl⟩
theorem cof_le (r : α → α → Prop) {S : Set α} (h : ∀ a, ∃ b ∈ S, r a b) : cof r ≤ #S :=
csInf_le' ⟨S, h, rfl⟩
theorem le_cof [IsRefl α r] (c : Cardinal) :
c ≤ cof r ↔ ∀ {S : Set α}, (∀ a, ∃ b ∈ S, r a b) → c ≤ #S := by
rw [cof, le_csInf_iff'' (cof_nonempty r)]
use fun H S h => H _ ⟨S, h, rfl⟩
rintro H d ⟨S, h, rfl⟩
exact H h
end Order
namespace RelIso
private theorem cof_le_lift [IsRefl β s] (f : r ≃r s) :
Cardinal.lift.{v} (Order.cof r) ≤ Cardinal.lift.{u} (Order.cof s) := by
rw [Order.cof, Order.cof, lift_sInf, lift_sInf, le_csInf_iff'' ((Order.cof_nonempty s).image _)]
rintro - ⟨-, ⟨u, H, rfl⟩, rfl⟩
apply csInf_le'
refine ⟨_, ⟨f.symm '' u, fun a => ?_, rfl⟩, lift_mk_eq'.2 ⟨(f.symm.toEquiv.image u).symm⟩⟩
rcases H (f a) with ⟨b, hb, hb'⟩
refine ⟨f.symm b, mem_image_of_mem _ hb, f.map_rel_iff.1 ?_⟩
rwa [RelIso.apply_symm_apply]
theorem cof_eq_lift [IsRefl β s] (f : r ≃r s) :
Cardinal.lift.{v} (Order.cof r) = Cardinal.lift.{u} (Order.cof s) :=
have := f.toRelEmbedding.isRefl
(f.cof_le_lift).antisymm (f.symm.cof_le_lift)
theorem cof_eq {α β : Type u} {r : α → α → Prop} {s} [IsRefl β s] (f : r ≃r s) :
Order.cof r = Order.cof s :=
lift_inj.1 (f.cof_eq_lift)
end RelIso
/-! ### Cofinality of ordinals -/
namespace Ordinal
/-- Cofinality of an ordinal. This is the smallest cardinal of a subset `S` of the ordinal which is
unbounded, in the sense `∀ a, ∃ b ∈ S, a ≤ b`.
In particular, `cof 0 = 0` and `cof (succ o) = 1`. -/
def cof (o : Ordinal.{u}) : Cardinal.{u} :=
o.liftOn (fun a ↦ Order.cof (swap a.rᶜ)) fun _ _ ⟨f⟩ ↦ f.compl.swap.cof_eq
theorem cof_type (r : α → α → Prop) [IsWellOrder α r] : (type r).cof = Order.cof (swap rᶜ) :=
rfl
theorem cof_type_lt [LinearOrder α] [IsWellOrder α (· < ·)] :
(@type α (· < ·) _).cof = @Order.cof α (· ≤ ·) := by
rw [cof_type, compl_lt, swap_ge]
theorem cof_eq_cof_toType (o : Ordinal) : o.cof = @Order.cof o.toType (· ≤ ·) := by
conv_lhs => rw [← type_toType o, cof_type_lt]
theorem le_cof_type [IsWellOrder α r] {c} : c ≤ cof (type r) ↔ ∀ S, Unbounded r S → c ≤ #S :=
(le_csInf_iff'' (Order.cof_nonempty _)).trans
⟨fun H S h => H _ ⟨S, h, rfl⟩, by
rintro H d ⟨S, h, rfl⟩
exact H _ h⟩
theorem cof_type_le [IsWellOrder α r] {S : Set α} (h : Unbounded r S) : cof (type r) ≤ #S :=
le_cof_type.1 le_rfl S h
theorem lt_cof_type [IsWellOrder α r] {S : Set α} : #S < cof (type r) → Bounded r S := by
simpa using not_imp_not.2 cof_type_le
theorem cof_eq (r : α → α → Prop) [IsWellOrder α r] : ∃ S, Unbounded r S ∧ #S = cof (type r) :=
csInf_mem (Order.cof_nonempty (swap rᶜ))
theorem ord_cof_eq (r : α → α → Prop) [IsWellOrder α r] :
∃ S, Unbounded r S ∧ type (Subrel r (· ∈ S)) = (cof (type r)).ord := by
let ⟨S, hS, e⟩ := cof_eq r
let ⟨s, _, e'⟩ := Cardinal.ord_eq S
let T : Set α := { a | ∃ aS : a ∈ S, ∀ b : S, s b ⟨_, aS⟩ → r b a }
suffices Unbounded r T by
refine ⟨T, this, le_antisymm ?_ (Cardinal.ord_le.2 <| cof_type_le this)⟩
rw [← e, e']
refine
(RelEmbedding.ofMonotone
(fun a : T =>
(⟨a,
let ⟨aS, _⟩ := a.2
aS⟩ :
S))
fun a b h => ?_).ordinal_type_le
rcases a with ⟨a, aS, ha⟩
rcases b with ⟨b, bS, hb⟩
change s ⟨a, _⟩ ⟨b, _⟩
refine ((trichotomous_of s _ _).resolve_left fun hn => ?_).resolve_left ?_
· exact asymm h (ha _ hn)
· intro e
injection e with e
subst b
exact irrefl _ h
intro a
have : { b : S | ¬r b a }.Nonempty :=
let ⟨b, bS, ba⟩ := hS a
⟨⟨b, bS⟩, ba⟩
let b := (IsWellFounded.wf : WellFounded s).min _ this
have ba : ¬r b a := IsWellFounded.wf.min_mem _ this
refine ⟨b, ⟨b.2, fun c => not_imp_not.1 fun h => ?_⟩, ba⟩
rw [show ∀ b : S, (⟨b, b.2⟩ : S) = b by intro b; cases b; rfl]
exact IsWellFounded.wf.not_lt_min _ this (IsOrderConnected.neg_trans h ba)
/-! ### Cofinality of suprema and least strict upper bounds -/
private theorem card_mem_cof {o} : ∃ (ι : _) (f : ι → Ordinal), lsub.{u, u} f = o ∧ #ι = o.card :=
⟨_, _, lsub_typein o, mk_toType o⟩
/-- The set in the `lsub` characterization of `cof` is nonempty. -/
theorem cof_lsub_def_nonempty (o) :
{ a : Cardinal | ∃ (ι : _) (f : ι → Ordinal), lsub.{u, u} f = o ∧ #ι = a }.Nonempty :=
⟨_, card_mem_cof⟩
theorem cof_eq_sInf_lsub (o : Ordinal.{u}) : cof o =
sInf { a : Cardinal | ∃ (ι : Type u) (f : ι → Ordinal), lsub.{u, u} f = o ∧ #ι = a } := by
refine le_antisymm (le_csInf (cof_lsub_def_nonempty o) ?_) (csInf_le' ?_)
· rintro a ⟨ι, f, hf, rfl⟩
rw [← type_toType o]
refine
(cof_type_le fun a => ?_).trans
(@mk_le_of_injective _ _
(fun s : typein ((· < ·) : o.toType → o.toType → Prop) ⁻¹' Set.range f =>
Classical.choose s.prop)
fun s t hst => by
let H := congr_arg f hst
rwa [Classical.choose_spec s.prop, Classical.choose_spec t.prop, typein_inj,
Subtype.coe_inj] at H)
have := typein_lt_self a
simp_rw [← hf, lt_lsub_iff] at this
obtain ⟨i, hi⟩ := this
refine ⟨enum (α := o.toType) (· < ·) ⟨f i, ?_⟩, ?_, ?_⟩
· rw [type_toType, ← hf]
apply lt_lsub
· rw [mem_preimage, typein_enum]
exact mem_range_self i
· rwa [← typein_le_typein, typein_enum]
· rcases cof_eq (α := o.toType) (· < ·) with ⟨S, hS, hS'⟩
let f : S → Ordinal := fun s => typein LT.lt s.val
refine ⟨S, f, le_antisymm (lsub_le fun i => typein_lt_self (o := o) i)
(le_of_forall_lt fun a ha => ?_), by rwa [type_toType o] at hS'⟩
rw [← type_toType o] at ha
rcases hS (enum (· < ·) ⟨a, ha⟩) with ⟨b, hb, hb'⟩
rw [← typein_le_typein, typein_enum] at hb'
exact hb'.trans_lt (lt_lsub.{u, u} f ⟨b, hb⟩)
@[simp]
theorem lift_cof (o) : Cardinal.lift.{u, v} (cof o) = cof (Ordinal.lift.{u, v} o) := by
refine inductionOn o fun α r _ ↦ ?_
rw [← type_uLift, cof_type, cof_type, ← Cardinal.lift_id'.{v, u} (Order.cof _),
← Cardinal.lift_umax]
apply RelIso.cof_eq_lift ⟨Equiv.ulift.symm, _⟩
simp [swap]
theorem cof_le_card (o) : cof o ≤ card o := by
rw [cof_eq_sInf_lsub]
exact csInf_le' card_mem_cof
theorem cof_ord_le (c : Cardinal) : c.ord.cof ≤ c := by simpa using cof_le_card c.ord
theorem ord_cof_le (o : Ordinal.{u}) : o.cof.ord ≤ o :=
(ord_le_ord.2 (cof_le_card o)).trans (ord_card_le o)
theorem exists_lsub_cof (o : Ordinal) :
∃ (ι : _) (f : ι → Ordinal), lsub.{u, u} f = o ∧ #ι = cof o := by
rw [cof_eq_sInf_lsub]
exact csInf_mem (cof_lsub_def_nonempty o)
theorem cof_lsub_le {ι} (f : ι → Ordinal) : cof (lsub.{u, u} f) ≤ #ι := by
rw [cof_eq_sInf_lsub]
exact csInf_le' ⟨ι, f, rfl, rfl⟩
theorem cof_lsub_le_lift {ι} (f : ι → Ordinal) :
cof (lsub.{u, v} f) ≤ Cardinal.lift.{v, u} #ι := by
rw [← mk_uLift.{u, v}]
convert cof_lsub_le.{max u v} fun i : ULift.{v, u} ι => f i.down
exact
lsub_eq_of_range_eq.{u, max u v, max u v}
(Set.ext fun x => ⟨fun ⟨i, hi⟩ => ⟨ULift.up.{v, u} i, hi⟩, fun ⟨i, hi⟩ => ⟨_, hi⟩⟩)
theorem le_cof_iff_lsub {o : Ordinal} {a : Cardinal} :
a ≤ cof o ↔ ∀ {ι} (f : ι → Ordinal), lsub.{u, u} f = o → a ≤ #ι := by
rw [cof_eq_sInf_lsub]
exact
(le_csInf_iff'' (cof_lsub_def_nonempty o)).trans
⟨fun H ι f hf => H _ ⟨ι, f, hf, rfl⟩, fun H b ⟨ι, f, hf, hb⟩ => by
rw [← hb]
exact H _ hf⟩
theorem lsub_lt_ord_lift {ι} {f : ι → Ordinal} {c : Ordinal}
(hι : Cardinal.lift.{v, u} #ι < c.cof)
(hf : ∀ i, f i < c) : lsub.{u, v} f < c :=
lt_of_le_of_ne (lsub_le hf) fun h => by
subst h
exact (cof_lsub_le_lift.{u, v} f).not_lt hι
theorem lsub_lt_ord {ι} {f : ι → Ordinal} {c : Ordinal} (hι : #ι < c.cof) :
(∀ i, f i < c) → lsub.{u, u} f < c :=
lsub_lt_ord_lift (by rwa [(#ι).lift_id])
theorem cof_iSup_le_lift {ι} {f : ι → Ordinal} (H : ∀ i, f i < iSup f) :
cof (iSup f) ≤ Cardinal.lift.{v, u} #ι := by
rw [← Ordinal.sup] at *
rw [← sup_eq_lsub_iff_lt_sup.{u, v}] at H
rw [H]
exact cof_lsub_le_lift f
theorem cof_iSup_le {ι} {f : ι → Ordinal} (H : ∀ i, f i < iSup f) :
cof (iSup f) ≤ #ι := by
rw [← (#ι).lift_id]
exact cof_iSup_le_lift H
theorem iSup_lt_ord_lift {ι} {f : ι → Ordinal} {c : Ordinal} (hι : Cardinal.lift.{v, u} #ι < c.cof)
(hf : ∀ i, f i < c) : iSup f < c :=
(sup_le_lsub.{u, v} f).trans_lt (lsub_lt_ord_lift hι hf)
theorem iSup_lt_ord {ι} {f : ι → Ordinal} {c : Ordinal} (hι : #ι < c.cof) :
(∀ i, f i < c) → iSup f < c :=
iSup_lt_ord_lift (by rwa [(#ι).lift_id])
theorem iSup_lt_lift {ι} {f : ι → Cardinal} {c : Cardinal}
(hι : Cardinal.lift.{v, u} #ι < c.ord.cof)
(hf : ∀ i, f i < c) : iSup f < c := by
rw [← ord_lt_ord, iSup_ord (Cardinal.bddAbove_range _)]
refine iSup_lt_ord_lift hι fun i => ?_
rw [ord_lt_ord]
apply hf
theorem iSup_lt {ι} {f : ι → Cardinal} {c : Cardinal} (hι : #ι < c.ord.cof) :
(∀ i, f i < c) → iSup f < c :=
iSup_lt_lift (by rwa [(#ι).lift_id])
theorem nfpFamily_lt_ord_lift {ι} {f : ι → Ordinal → Ordinal} {c} (hc : ℵ₀ < cof c)
(hc' : Cardinal.lift.{v, u} #ι < cof c) (hf : ∀ (i), ∀ b < c, f i b < c) {a} (ha : a < c) :
nfpFamily f a < c := by
refine iSup_lt_ord_lift ((Cardinal.lift_le.2 (mk_list_le_max ι)).trans_lt ?_) fun l => ?_
· rw [lift_max]
apply max_lt _ hc'
rwa [Cardinal.lift_aleph0]
· induction' l with i l H
· exact ha
· exact hf _ _ H
theorem nfpFamily_lt_ord {ι} {f : ι → Ordinal → Ordinal} {c} (hc : ℵ₀ < cof c) (hc' : #ι < cof c)
(hf : ∀ (i), ∀ b < c, f i b < c) {a} : a < c → nfpFamily.{u, u} f a < c :=
nfpFamily_lt_ord_lift hc (by rwa [(#ι).lift_id]) hf
theorem nfp_lt_ord {f : Ordinal → Ordinal} {c} (hc : ℵ₀ < cof c) (hf : ∀ i < c, f i < c) {a} :
a < c → nfp f a < c :=
nfpFamily_lt_ord_lift hc (by simpa using Cardinal.one_lt_aleph0.trans hc) fun _ => hf
theorem exists_blsub_cof (o : Ordinal) :
∃ f : ∀ a < (cof o).ord, Ordinal, blsub.{u, u} _ f = o := by
rcases exists_lsub_cof o with ⟨ι, f, hf, hι⟩
rcases Cardinal.ord_eq ι with ⟨r, hr, hι'⟩
rw [← @blsub_eq_lsub' ι r hr] at hf
rw [← hι, hι']
exact ⟨_, hf⟩
theorem le_cof_iff_blsub {b : Ordinal} {a : Cardinal} :
a ≤ cof b ↔ ∀ {o} (f : ∀ a < o, Ordinal), blsub.{u, u} o f = b → a ≤ o.card :=
le_cof_iff_lsub.trans
⟨fun H o f hf => by simpa using H _ hf, fun H ι f hf => by
rcases Cardinal.ord_eq ι with ⟨r, hr, hι'⟩
rw [← @blsub_eq_lsub' ι r hr] at hf
simpa using H _ hf⟩
theorem cof_blsub_le_lift {o} (f : ∀ a < o, Ordinal) :
cof (blsub.{u, v} o f) ≤ Cardinal.lift.{v, u} o.card := by
rw [← mk_toType o]
exact cof_lsub_le_lift _
theorem cof_blsub_le {o} (f : ∀ a < o, Ordinal) : cof (blsub.{u, u} o f) ≤ o.card := by
rw [← o.card.lift_id]
exact cof_blsub_le_lift f
theorem blsub_lt_ord_lift {o : Ordinal.{u}} {f : ∀ a < o, Ordinal} {c : Ordinal}
(ho : Cardinal.lift.{v, u} o.card < c.cof) (hf : ∀ i hi, f i hi < c) : blsub.{u, v} o f < c :=
lt_of_le_of_ne (blsub_le hf) fun h =>
ho.not_le (by simpa [← iSup_ord, hf, h] using cof_blsub_le_lift.{u, v} f)
theorem blsub_lt_ord {o : Ordinal} {f : ∀ a < o, Ordinal} {c : Ordinal} (ho : o.card < c.cof)
(hf : ∀ i hi, f i hi < c) : blsub.{u, u} o f < c :=
blsub_lt_ord_lift (by rwa [o.card.lift_id]) hf
theorem cof_bsup_le_lift {o : Ordinal} {f : ∀ a < o, Ordinal} (H : ∀ i h, f i h < bsup.{u, v} o f) :
cof (bsup.{u, v} o f) ≤ Cardinal.lift.{v, u} o.card := by
rw [← bsup_eq_blsub_iff_lt_bsup.{u, v}] at H
rw [H]
exact cof_blsub_le_lift.{u, v} f
theorem cof_bsup_le {o : Ordinal} {f : ∀ a < o, Ordinal} :
(∀ i h, f i h < bsup.{u, u} o f) → cof (bsup.{u, u} o f) ≤ o.card := by
rw [← o.card.lift_id]
exact cof_bsup_le_lift
theorem bsup_lt_ord_lift {o : Ordinal} {f : ∀ a < o, Ordinal} {c : Ordinal}
(ho : Cardinal.lift.{v, u} o.card < c.cof) (hf : ∀ i hi, f i hi < c) : bsup.{u, v} o f < c :=
(bsup_le_blsub f).trans_lt (blsub_lt_ord_lift ho hf)
theorem bsup_lt_ord {o : Ordinal} {f : ∀ a < o, Ordinal} {c : Ordinal} (ho : o.card < c.cof) :
(∀ i hi, f i hi < c) → bsup.{u, u} o f < c :=
bsup_lt_ord_lift (by rwa [o.card.lift_id])
/-! ### Basic results -/
@[simp]
theorem cof_zero : cof 0 = 0 := by
refine LE.le.antisymm ?_ (Cardinal.zero_le _)
rw [← card_zero]
exact cof_le_card 0
@[simp]
theorem cof_eq_zero {o} : cof o = 0 ↔ o = 0 :=
⟨inductionOn o fun _ r _ z =>
let ⟨_, hl, e⟩ := cof_eq r
type_eq_zero_iff_isEmpty.2 <|
⟨fun a =>
let ⟨_, h, _⟩ := hl a
(mk_eq_zero_iff.1 (e.trans z)).elim' ⟨_, h⟩⟩,
fun e => by simp [e]⟩
theorem cof_ne_zero {o} : cof o ≠ 0 ↔ o ≠ 0 :=
cof_eq_zero.not
@[simp]
theorem cof_succ (o) : cof (succ o) = 1 := by
apply le_antisymm
· refine inductionOn o fun α r _ => ?_
change cof (type _) ≤ _
rw [← (_ : #_ = 1)]
· apply cof_type_le
refine fun a => ⟨Sum.inr PUnit.unit, Set.mem_singleton _, ?_⟩
rcases a with (a | ⟨⟨⟨⟩⟩⟩) <;> simp [EmptyRelation]
· rw [Cardinal.mk_fintype, Set.card_singleton]
simp
· rw [← Cardinal.succ_zero, succ_le_iff]
simpa [lt_iff_le_and_ne, Cardinal.zero_le] using fun h =>
succ_ne_zero o (cof_eq_zero.1 (Eq.symm h))
@[simp]
theorem cof_eq_one_iff_is_succ {o} : cof.{u} o = 1 ↔ ∃ a, o = succ a :=
⟨inductionOn o fun α r _ z => by
rcases cof_eq r with ⟨S, hl, e⟩; rw [z] at e
obtain ⟨a⟩ := mk_ne_zero_iff.1 (by rw [e]; exact one_ne_zero)
refine
⟨typein r a,
Eq.symm <|
Quotient.sound
⟨RelIso.ofSurjective (RelEmbedding.ofMonotone ?_ fun x y => ?_) fun x => ?_⟩⟩
· apply Sum.rec <;> [exact Subtype.val; exact fun _ => a]
· rcases x with (x | ⟨⟨⟨⟩⟩⟩) <;> rcases y with (y | ⟨⟨⟨⟩⟩⟩) <;>
simp [Subrel, Order.Preimage, EmptyRelation]
exact x.2
· suffices r x a ∨ ∃ _ : PUnit.{u}, ↑a = x by
convert this
dsimp [RelEmbedding.ofMonotone]; simp
rcases trichotomous_of r x a with (h | h | h)
· exact Or.inl h
· exact Or.inr ⟨PUnit.unit, h.symm⟩
· rcases hl x with ⟨a', aS, hn⟩
refine absurd h ?_
convert hn
change (a : α) = ↑(⟨a', aS⟩ : S)
have := le_one_iff_subsingleton.1 (le_of_eq e)
congr!,
fun ⟨a, e⟩ => by simp [e]⟩
/-! ### Fundamental sequences -/
-- TODO: move stuff about fundamental sequences to their own file.
/-- A fundamental sequence for `a` is an increasing sequence of length `o = cof a` that converges at
`a`. We provide `o` explicitly in order to avoid type rewrites. -/
def IsFundamentalSequence (a o : Ordinal.{u}) (f : ∀ b < o, Ordinal.{u}) : Prop :=
o ≤ a.cof.ord ∧ (∀ {i j} (hi hj), i < j → f i hi < f j hj) ∧ blsub.{u, u} o f = a
namespace IsFundamentalSequence
variable {a o : Ordinal.{u}} {f : ∀ b < o, Ordinal.{u}}
protected theorem cof_eq (hf : IsFundamentalSequence a o f) : a.cof.ord = o :=
hf.1.antisymm' <| by
rw [← hf.2.2]
exact (ord_le_ord.2 (cof_blsub_le f)).trans (ord_card_le o)
protected theorem strict_mono (hf : IsFundamentalSequence a o f) {i j} :
∀ hi hj, i < j → f i hi < f j hj :=
hf.2.1
theorem blsub_eq (hf : IsFundamentalSequence a o f) : blsub.{u, u} o f = a :=
hf.2.2
theorem ord_cof (hf : IsFundamentalSequence a o f) :
IsFundamentalSequence a a.cof.ord fun i hi => f i (hi.trans_le (by rw [hf.cof_eq])) := by
have H := hf.cof_eq
subst H
exact hf
theorem id_of_le_cof (h : o ≤ o.cof.ord) : IsFundamentalSequence o o fun a _ => a :=
⟨h, @fun _ _ _ _ => id, blsub_id o⟩
protected theorem zero {f : ∀ b < (0 : Ordinal), Ordinal} : IsFundamentalSequence 0 0 f :=
⟨by rw [cof_zero, ord_zero], @fun i _ hi => (Ordinal.not_lt_zero i hi).elim, blsub_zero f⟩
protected theorem succ : IsFundamentalSequence (succ o) 1 fun _ _ => o := by
refine ⟨?_, @fun i j hi hj h => ?_, blsub_const Ordinal.one_ne_zero o⟩
· rw [cof_succ, ord_one]
· rw [lt_one_iff_zero] at hi hj
rw [hi, hj] at h
exact h.false.elim
protected theorem monotone (hf : IsFundamentalSequence a o f) {i j : Ordinal} (hi : i < o)
(hj : j < o) (hij : i ≤ j) : f i hi ≤ f j hj := by
rcases lt_or_eq_of_le hij with (hij | rfl)
· exact (hf.2.1 hi hj hij).le
· rfl
theorem trans {a o o' : Ordinal.{u}} {f : ∀ b < o, Ordinal.{u}} (hf : IsFundamentalSequence a o f)
{g : ∀ b < o', Ordinal.{u}} (hg : IsFundamentalSequence o o' g) :
IsFundamentalSequence a o' fun i hi =>
f (g i hi) (by rw [← hg.2.2]; apply lt_blsub) := by
refine ⟨?_, @fun i j _ _ h => hf.2.1 _ _ (hg.2.1 _ _ h), ?_⟩
· rw [hf.cof_eq]
exact hg.1.trans (ord_cof_le o)
· rw [@blsub_comp.{u, u, u} o _ f (@IsFundamentalSequence.monotone _ _ f hf)]
· exact hf.2.2
· exact hg.2.2
protected theorem lt {a o : Ordinal} {s : Π p < o, Ordinal}
(h : IsFundamentalSequence a o s) {p : Ordinal} (hp : p < o) : s p hp < a :=
h.blsub_eq ▸ lt_blsub s p hp
end IsFundamentalSequence
/-- Every ordinal has a fundamental sequence. -/
theorem exists_fundamental_sequence (a : Ordinal.{u}) :
∃ f, IsFundamentalSequence a a.cof.ord f := by
suffices h : ∃ o f, IsFundamentalSequence a o f by
rcases h with ⟨o, f, hf⟩
exact ⟨_, hf.ord_cof⟩
rcases exists_lsub_cof a with ⟨ι, f, hf, hι⟩
rcases ord_eq ι with ⟨r, wo, hr⟩
haveI := wo
let r' := Subrel r fun i ↦ ∀ j, r j i → f j < f i
let hrr' : r' ↪r r := Subrel.relEmbedding _ _
haveI := hrr'.isWellOrder
refine
⟨_, _, hrr'.ordinal_type_le.trans ?_, @fun i j _ h _ => (enum r' ⟨j, h⟩).prop _ ?_,
le_antisymm (blsub_le fun i hi => lsub_le_iff.1 hf.le _) ?_⟩
· rw [← hι, hr]
· change r (hrr'.1 _) (hrr'.1 _)
rwa [hrr'.2, @enum_lt_enum _ r']
· rw [← hf, lsub_le_iff]
intro i
suffices h : ∃ i' hi', f i ≤ bfamilyOfFamily' r' (fun i => f i) i' hi' by
rcases h with ⟨i', hi', hfg⟩
exact hfg.trans_lt (lt_blsub _ _ _)
by_cases h : ∀ j, r j i → f j < f i
· refine ⟨typein r' ⟨i, h⟩, typein_lt_type _ _, ?_⟩
rw [bfamilyOfFamily'_typein]
· push_neg at h
obtain ⟨hji, hij⟩ := wo.wf.min_mem _ h
refine ⟨typein r' ⟨_, fun k hkj => lt_of_lt_of_le ?_ hij⟩, typein_lt_type _ _, ?_⟩
· by_contra! H
exact (wo.wf.not_lt_min _ h ⟨IsTrans.trans _ _ _ hkj hji, H⟩) hkj
· rwa [bfamilyOfFamily'_typein]
@[simp]
theorem cof_cof (a : Ordinal.{u}) : cof (cof a).ord = cof a := by
obtain ⟨f, hf⟩ := exists_fundamental_sequence a
obtain ⟨g, hg⟩ := exists_fundamental_sequence a.cof.ord
exact ord_injective (hf.trans hg).cof_eq.symm
protected theorem IsNormal.isFundamentalSequence {f : Ordinal.{u} → Ordinal.{u}} (hf : IsNormal f)
{a o} (ha : IsLimit a) {g} (hg : IsFundamentalSequence a o g) :
IsFundamentalSequence (f a) o fun b hb => f (g b hb) := by
refine ⟨?_, @fun i j _ _ h => hf.strictMono (hg.2.1 _ _ h), ?_⟩
· rcases exists_lsub_cof (f a) with ⟨ι, f', hf', hι⟩
rw [← hg.cof_eq, ord_le_ord, ← hι]
suffices (lsub.{u, u} fun i => sInf { b : Ordinal | f' i ≤ f b }) = a by
rw [← this]
apply cof_lsub_le
have H : ∀ i, ∃ b < a, f' i ≤ f b := fun i => by
have := lt_lsub.{u, u} f' i
rw [hf', ← IsNormal.blsub_eq.{u, u} hf ha, lt_blsub_iff] at this
simpa using this
refine (lsub_le fun i => ?_).antisymm (le_of_forall_lt fun b hb => ?_)
· rcases H i with ⟨b, hb, hb'⟩
exact lt_of_le_of_lt (csInf_le' hb') hb
· have := hf.strictMono hb
rw [← hf', lt_lsub_iff] at this
obtain ⟨i, hi⟩ := this
rcases H i with ⟨b, _, hb⟩
exact
((le_csInf_iff'' ⟨b, by exact hb⟩).2 fun c hc =>
hf.strictMono.le_iff_le.1 (hi.trans hc)).trans_lt (lt_lsub _ i)
· rw [@blsub_comp.{u, u, u} a _ (fun b _ => f b) (@fun i j _ _ h => hf.strictMono.monotone h) g
hg.2.2]
exact IsNormal.blsub_eq.{u, u} hf ha
theorem IsNormal.cof_eq {f} (hf : IsNormal f) {a} (ha : IsLimit a) : cof (f a) = cof a :=
let ⟨_, hg⟩ := exists_fundamental_sequence a
ord_injective (hf.isFundamentalSequence ha hg).cof_eq
theorem IsNormal.cof_le {f} (hf : IsNormal f) (a) : cof a ≤ cof (f a) := by
rcases zero_or_succ_or_limit a with (rfl | ⟨b, rfl⟩ | ha)
· rw [cof_zero]
exact zero_le _
· rw [cof_succ, Cardinal.one_le_iff_ne_zero, cof_ne_zero, ← Ordinal.pos_iff_ne_zero]
exact (Ordinal.zero_le (f b)).trans_lt (hf.1 b)
· rw [hf.cof_eq ha]
@[simp]
theorem cof_add (a b : Ordinal) : b ≠ 0 → cof (a + b) = cof b := fun h => by
rcases zero_or_succ_or_limit b with (rfl | ⟨c, rfl⟩ | hb)
· contradiction
· rw [add_succ, cof_succ, cof_succ]
· exact (isNormal_add_right a).cof_eq hb
theorem aleph0_le_cof {o} : ℵ₀ ≤ cof o ↔ IsLimit o := by
rcases zero_or_succ_or_limit o with (rfl | ⟨o, rfl⟩ | l)
· simp [not_zero_isLimit, Cardinal.aleph0_ne_zero]
· simp [not_succ_isLimit, Cardinal.one_lt_aleph0]
· simp only [l, iff_true]
refine le_of_not_lt fun h => ?_
obtain ⟨n, e⟩ := Cardinal.lt_aleph0.1 h
have := cof_cof o
rw [e, ord_nat] at this
cases n
· simp at e
simp [e, not_zero_isLimit] at l
· rw [natCast_succ, cof_succ] at this
rw [← this, cof_eq_one_iff_is_succ] at e
rcases e with ⟨a, rfl⟩
exact not_succ_isLimit _ l
@[simp]
theorem cof_preOmega {o : Ordinal} (ho : IsSuccPrelimit o) : (preOmega o).cof = o.cof := by
by_cases h : IsMin o
· simp [h.eq_bot]
· exact isNormal_preOmega.cof_eq ⟨h, ho⟩
@[simp]
theorem cof_omega {o : Ordinal} (ho : o.IsLimit) : (ω_ o).cof = o.cof :=
isNormal_omega.cof_eq ho
@[simp]
theorem cof_omega0 : cof ω = ℵ₀ :=
(aleph0_le_cof.2 isLimit_omega0).antisymm' <| by
rw [← card_omega0]
apply cof_le_card
theorem cof_eq' (r : α → α → Prop) [IsWellOrder α r] (h : IsLimit (type r)) :
∃ S : Set α, (∀ a, ∃ b ∈ S, r a b) ∧ #S = cof (type r) :=
let ⟨S, H, e⟩ := cof_eq r
⟨S, fun a =>
let a' := enum r ⟨_, h.succ_lt (typein_lt_type r a)⟩
let ⟨b, h, ab⟩ := H a'
⟨b, h,
(IsOrderConnected.conn a b a' <|
(typein_lt_typein r).1
(by
rw [typein_enum]
exact lt_succ (typein _ _))).resolve_right
ab⟩,
e⟩
@[simp]
theorem cof_univ : cof univ.{u, v} = Cardinal.univ.{u, v} :=
le_antisymm (cof_le_card _)
(by
refine le_of_forall_lt fun c h => ?_
rcases lt_univ'.1 h with ⟨c, rfl⟩
rcases @cof_eq Ordinal.{u} (· < ·) _ with ⟨S, H, Se⟩
rw [univ, ← lift_cof, ← Cardinal.lift_lift.{u+1, v, u}, Cardinal.lift_lt, ← Se]
refine lt_of_not_ge fun h => ?_
obtain ⟨a, e⟩ := Cardinal.mem_range_lift_of_le h
refine Quotient.inductionOn a (fun α e => ?_) e
obtain ⟨f⟩ := Quotient.exact e
have f := Equiv.ulift.symm.trans f
let g a := (f a).1
let o := succ (iSup g)
rcases H o with ⟨b, h, l⟩
refine l (lt_succ_iff.2 ?_)
rw [← show g (f.symm ⟨b, h⟩) = b by simp [g]]
apply Ordinal.le_iSup)
end Ordinal
namespace Cardinal
open Ordinal
/-! ### Results on sets -/
theorem mk_bounded_subset {α : Type*} (h : ∀ x < #α, 2 ^ x < #α) {r : α → α → Prop}
[IsWellOrder α r] (hr : (#α).ord = type r) : #{ s : Set α // Bounded r s } = #α := by
rcases eq_or_ne #α 0 with (ha | ha)
· rw [ha]
haveI := mk_eq_zero_iff.1 ha
rw [mk_eq_zero_iff]
constructor
rintro ⟨s, hs⟩
exact (not_unbounded_iff s).2 hs (unbounded_of_isEmpty s)
have h' : IsStrongLimit #α := ⟨ha, @h⟩
have ha := h'.aleph0_le
apply le_antisymm
· have : { s : Set α | Bounded r s } = ⋃ i, 𝒫{ j | r j i } := setOf_exists _
rw [← coe_setOf, this]
refine mk_iUnion_le_sum_mk.trans ((sum_le_iSup (fun i => #(𝒫{ j | r j i }))).trans
((mul_le_max_of_aleph0_le_left ha).trans ?_))
rw [max_eq_left]
apply ciSup_le' _
intro i
rw [mk_powerset]
apply (h'.two_power_lt _).le
rw [coe_setOf, card_typein, ← lt_ord, hr]
apply typein_lt_type
· refine @mk_le_of_injective α _ (fun x => Subtype.mk {x} ?_) ?_
· apply bounded_singleton
rw [← hr]
apply isLimit_ord ha
· intro a b hab
simpa [singleton_eq_singleton_iff] using hab
theorem mk_subset_mk_lt_cof {α : Type*} (h : ∀ x < #α, 2 ^ x < #α) :
#{ s : Set α // #s < cof (#α).ord } = #α := by
rcases eq_or_ne #α 0 with (ha | ha)
· simp [ha]
have h' : IsStrongLimit #α := ⟨ha, @h⟩
rcases ord_eq α with ⟨r, wo, hr⟩
haveI := wo
apply le_antisymm
· conv_rhs => rw [← mk_bounded_subset h hr]
apply mk_le_mk_of_subset
intro s hs
rw [hr] at hs
exact lt_cof_type hs
· refine @mk_le_of_injective α _ (fun x => Subtype.mk {x} ?_) ?_
· rw [mk_singleton]
exact one_lt_aleph0.trans_le (aleph0_le_cof.2 (isLimit_ord h'.aleph0_le))
· intro a b hab
simpa [singleton_eq_singleton_iff] using hab
/-- If the union of s is unbounded and s is smaller than the cofinality,
then s has an unbounded member -/
theorem unbounded_of_unbounded_sUnion (r : α → α → Prop) [wo : IsWellOrder α r] {s : Set (Set α)}
(h₁ : Unbounded r <| ⋃₀ s) (h₂ : #s < Order.cof (swap rᶜ)) : ∃ x ∈ s, Unbounded r x := by
by_contra! h
simp_rw [not_unbounded_iff] at h
let f : s → α := fun x : s => wo.wf.sup x (h x.1 x.2)
refine h₂.not_le (le_trans (csInf_le' ⟨range f, fun x => ?_, rfl⟩) mk_range_le)
rcases h₁ x with ⟨y, ⟨c, hc, hy⟩, hxy⟩
exact ⟨f ⟨c, hc⟩, mem_range_self _, fun hxz => hxy (Trans.trans (wo.wf.lt_sup _ hy) hxz)⟩
/-- If the union of s is unbounded and s is smaller than the cofinality,
then s has an unbounded member -/
theorem unbounded_of_unbounded_iUnion {α β : Type u} (r : α → α → Prop) [wo : IsWellOrder α r]
(s : β → Set α) (h₁ : Unbounded r <| ⋃ x, s x) (h₂ : #β < Order.cof (swap rᶜ)) :
∃ x : β, Unbounded r (s x) := by
rw [← sUnion_range] at h₁
rcases unbounded_of_unbounded_sUnion r h₁ (mk_range_le.trans_lt h₂) with ⟨_, ⟨x, rfl⟩, u⟩
exact ⟨x, u⟩
/-! ### Consequences of König's lemma -/
theorem lt_power_cof {c : Cardinal.{u}} : ℵ₀ ≤ c → c < c ^ c.ord.cof :=
Cardinal.inductionOn c fun α h => by
rcases ord_eq α with ⟨r, wo, re⟩
have := isLimit_ord h
rw [re] at this ⊢
rcases cof_eq' r this with ⟨S, H, Se⟩
have := sum_lt_prod (fun a : S => #{ x // r x a }) (fun _ => #α) fun i => ?_
· simp only [Cardinal.prod_const, Cardinal.lift_id, ← Se, ← mk_sigma, power_def] at this ⊢
refine lt_of_le_of_lt ?_ this
refine ⟨Embedding.ofSurjective ?_ ?_⟩
· exact fun x => x.2.1
· exact fun a =>
let ⟨b, h, ab⟩ := H a
⟨⟨⟨_, h⟩, _, ab⟩, rfl⟩
· have := typein_lt_type r i
rwa [← re, lt_ord] at this
theorem lt_cof_power {a b : Cardinal} (ha : ℵ₀ ≤ a) (b1 : 1 < b) : a < (b ^ a).ord.cof := by
have b0 : b ≠ 0 := (zero_lt_one.trans b1).ne'
apply lt_imp_lt_of_le_imp_le (power_le_power_left <| power_ne_zero a b0)
rw [← power_mul, mul_eq_self ha]
exact lt_power_cof (ha.trans <| (cantor' _ b1).le)
end Cardinal
| Mathlib/SetTheory/Cardinal/Cofinality.lean | 1,026 | 1,030 | |
/-
Copyright (c) 2021 Chris Hughes. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Chris Hughes
-/
import Mathlib.Data.W.Basic
import Mathlib.SetTheory.Cardinal.Arithmetic
/-!
# Cardinality of W-types
This file proves some theorems about the cardinality of W-types. The main result is
`cardinalMk_le_max_aleph0_of_finite` which says that if for any `a : α`,
`β a` is finite, then the cardinality of `WType β` is at most the maximum of the
cardinality of `α` and `ℵ₀`.
This can be used to prove theorems about the cardinality of algebraic constructions such as
polynomials. There is a surjection from a `WType` to `MvPolynomial` for example, and
this surjection can be used to put an upper bound on the cardinality of `MvPolynomial`.
## Tags
W, W type, cardinal, first order
-/
universe u v
variable {α : Type u} {β : α → Type v}
noncomputable section
namespace WType
open Cardinal
theorem cardinalMk_eq_sum_lift : #(WType β) = sum fun a ↦ #(WType β) ^ lift.{u} #(β a) :=
(mk_congr <| equivSigma β).trans <| by
simp_rw [mk_sigma, mk_arrow]; rw [lift_id'.{v, u}, lift_umax.{v, u}]
@[deprecated (since := "2024-11-10")] alias cardinal_mk_eq_sum' := cardinalMk_eq_sum_lift
/-- `#(WType β)` is the least cardinal `κ` such that `sum (fun a : α ↦ κ ^ #(β a)) ≤ κ` -/
theorem cardinalMk_le_of_le' {κ : Cardinal.{max u v}}
| (hκ : (sum fun a : α => κ ^ lift.{u} #(β a)) ≤ κ) :
#(WType β) ≤ κ := by
induction' κ using Cardinal.inductionOn with γ
simp_rw [← lift_umax.{v, u}] at hκ
nth_rewrite 1 [← lift_id'.{v, u} #γ] at hκ
simp_rw [← mk_arrow, ← mk_sigma, le_def] at hκ
obtain ⟨hκ⟩ := hκ
exact Cardinal.mk_le_of_injective (elim_injective _ hκ.1 hκ.2)
| Mathlib/Data/W/Cardinal.lean | 45 | 53 |
/-
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, Yury Kudryashov
-/
import Mathlib.Data.Set.SymmDiff
import Mathlib.Order.SuccPred.Relation
import Mathlib.Topology.Irreducible
/-!
# Connected subsets of topological spaces
In this file we define connected subsets of a topological spaces and various other properties and
classes related to connectivity.
## Main definitions
We define the following properties for sets in a topological space:
* `IsConnected`: a nonempty set that has no non-trivial open partition.
See also the section below in the module doc.
* `connectedComponent` is the connected component of an element in the space.
We also have a class stating that the whole space satisfies that property: `ConnectedSpace`
## On the definition of connected sets/spaces
In informal mathematics, connected spaces are assumed to be nonempty.
We formalise the predicate without that assumption as `IsPreconnected`.
In other words, the only difference is whether the empty space counts as connected.
There are good reasons to consider the empty space to be “too simple to be simple”
See also https://ncatlab.org/nlab/show/too+simple+to+be+simple,
and in particular
https://ncatlab.org/nlab/show/too+simple+to+be+simple#relationship_to_biased_definitions.
-/
open Set Function Topology TopologicalSpace Relation
universe u v
variable {α : Type u} {β : Type v} {ι : Type*} {π : ι → Type*} [TopologicalSpace α]
{s t u v : Set α}
section Preconnected
/-- A preconnected set is one where there is no non-trivial open partition. -/
def IsPreconnected (s : Set α) : Prop :=
∀ u v : Set α, IsOpen u → IsOpen v → s ⊆ u ∪ v → (s ∩ u).Nonempty → (s ∩ v).Nonempty →
(s ∩ (u ∩ v)).Nonempty
/-- A connected set is one that is nonempty and where there is no non-trivial open partition. -/
def IsConnected (s : Set α) : Prop :=
s.Nonempty ∧ IsPreconnected s
theorem IsConnected.nonempty {s : Set α} (h : IsConnected s) : s.Nonempty :=
h.1
theorem IsConnected.isPreconnected {s : Set α} (h : IsConnected s) : IsPreconnected s :=
h.2
theorem IsPreirreducible.isPreconnected {s : Set α} (H : IsPreirreducible s) : IsPreconnected s :=
fun _ _ hu hv _ => H _ _ hu hv
theorem IsIrreducible.isConnected {s : Set α} (H : IsIrreducible s) : IsConnected s :=
⟨H.nonempty, H.isPreirreducible.isPreconnected⟩
theorem isPreconnected_empty : IsPreconnected (∅ : Set α) :=
isPreirreducible_empty.isPreconnected
theorem isConnected_singleton {x} : IsConnected ({x} : Set α) :=
isIrreducible_singleton.isConnected
theorem isPreconnected_singleton {x} : IsPreconnected ({x} : Set α) :=
isConnected_singleton.isPreconnected
theorem Set.Subsingleton.isPreconnected {s : Set α} (hs : s.Subsingleton) : IsPreconnected s :=
hs.induction_on isPreconnected_empty fun _ => isPreconnected_singleton
/-- If any point of a set is joined to a fixed point by a preconnected subset,
then the original set is preconnected as well. -/
theorem isPreconnected_of_forall {s : Set α} (x : α)
(H : ∀ y ∈ s, ∃ t, t ⊆ s ∧ x ∈ t ∧ y ∈ t ∧ IsPreconnected t) : IsPreconnected s := by
rintro u v hu hv hs ⟨z, zs, zu⟩ ⟨y, ys, yv⟩
have xs : x ∈ s := by
rcases H y ys with ⟨t, ts, xt, -, -⟩
exact ts xt
-- Porting note (https://github.com/leanprover-community/mathlib4/issues/11215): TODO: use `wlog xu : x ∈ u := hs xs using u v y z, v u z y`
cases hs xs with
| inl xu =>
rcases H y ys with ⟨t, ts, xt, yt, ht⟩
have := ht u v hu hv (ts.trans hs) ⟨x, xt, xu⟩ ⟨y, yt, yv⟩
exact this.imp fun z hz => ⟨ts hz.1, hz.2⟩
| inr xv =>
rcases H z zs with ⟨t, ts, xt, zt, ht⟩
have := ht v u hv hu (ts.trans <| by rwa [union_comm]) ⟨x, xt, xv⟩ ⟨z, zt, zu⟩
exact this.imp fun _ h => ⟨ts h.1, h.2.2, h.2.1⟩
/-- If any two points of a set are contained in a preconnected subset,
then the original set is preconnected as well. -/
theorem isPreconnected_of_forall_pair {s : Set α}
(H : ∀ x ∈ s, ∀ y ∈ s, ∃ t, t ⊆ s ∧ x ∈ t ∧ y ∈ t ∧ IsPreconnected t) :
IsPreconnected s := by
rcases eq_empty_or_nonempty s with (rfl | ⟨x, hx⟩)
exacts [isPreconnected_empty, isPreconnected_of_forall x fun y => H x hx y]
/-- A union of a family of preconnected sets with a common point is preconnected as well. -/
theorem isPreconnected_sUnion (x : α) (c : Set (Set α)) (H1 : ∀ s ∈ c, x ∈ s)
(H2 : ∀ s ∈ c, IsPreconnected s) : IsPreconnected (⋃₀ c) := by
apply isPreconnected_of_forall x
rintro y ⟨s, sc, ys⟩
exact ⟨s, subset_sUnion_of_mem sc, H1 s sc, ys, H2 s sc⟩
theorem isPreconnected_iUnion {ι : Sort*} {s : ι → Set α} (h₁ : (⋂ i, s i).Nonempty)
(h₂ : ∀ i, IsPreconnected (s i)) : IsPreconnected (⋃ i, s i) :=
Exists.elim h₁ fun f hf => isPreconnected_sUnion f _ hf (forall_mem_range.2 h₂)
theorem IsPreconnected.union (x : α) {s t : Set α} (H1 : x ∈ s) (H2 : x ∈ t) (H3 : IsPreconnected s)
(H4 : IsPreconnected t) : IsPreconnected (s ∪ t) :=
sUnion_pair s t ▸ isPreconnected_sUnion x {s, t} (by rintro r (rfl | rfl | h) <;> assumption)
(by rintro r (rfl | rfl | h) <;> assumption)
theorem IsPreconnected.union' {s t : Set α} (H : (s ∩ t).Nonempty) (hs : IsPreconnected s)
(ht : IsPreconnected t) : IsPreconnected (s ∪ t) := by
rcases H with ⟨x, hxs, hxt⟩
exact hs.union x hxs hxt ht
theorem IsConnected.union {s t : Set α} (H : (s ∩ t).Nonempty) (Hs : IsConnected s)
(Ht : IsConnected t) : IsConnected (s ∪ t) := by
rcases H with ⟨x, hx⟩
refine ⟨⟨x, mem_union_left t (mem_of_mem_inter_left hx)⟩, ?_⟩
exact Hs.isPreconnected.union x (mem_of_mem_inter_left hx) (mem_of_mem_inter_right hx)
Ht.isPreconnected
/-- The directed sUnion of a set S of preconnected subsets is preconnected. -/
theorem IsPreconnected.sUnion_directed {S : Set (Set α)} (K : DirectedOn (· ⊆ ·) S)
(H : ∀ s ∈ S, IsPreconnected s) : IsPreconnected (⋃₀ S) := by
rintro u v hu hv Huv ⟨a, ⟨s, hsS, has⟩, hau⟩ ⟨b, ⟨t, htS, hbt⟩, hbv⟩
obtain ⟨r, hrS, hsr, htr⟩ : ∃ r ∈ S, s ⊆ r ∧ t ⊆ r := K s hsS t htS
have Hnuv : (r ∩ (u ∩ v)).Nonempty :=
H _ hrS u v hu hv ((subset_sUnion_of_mem hrS).trans Huv) ⟨a, hsr has, hau⟩ ⟨b, htr hbt, hbv⟩
have Kruv : r ∩ (u ∩ v) ⊆ ⋃₀ S ∩ (u ∩ v) := inter_subset_inter_left _ (subset_sUnion_of_mem hrS)
exact Hnuv.mono Kruv
/-- The biUnion of a family of preconnected sets is preconnected if the graph determined by
whether two sets intersect is preconnected. -/
theorem IsPreconnected.biUnion_of_reflTransGen {ι : Type*} {t : Set ι} {s : ι → Set α}
(H : ∀ i ∈ t, IsPreconnected (s i))
(K : ∀ i, i ∈ t → ∀ j, j ∈ t → ReflTransGen (fun i j => (s i ∩ s j).Nonempty ∧ i ∈ t) i j) :
IsPreconnected (⋃ n ∈ t, s n) := by
let R := fun i j : ι => (s i ∩ s j).Nonempty ∧ i ∈ t
have P : ∀ i, i ∈ t → ∀ j, j ∈ t → ReflTransGen R i j →
∃ p, p ⊆ t ∧ i ∈ p ∧ j ∈ p ∧ IsPreconnected (⋃ j ∈ p, s j) := fun i hi j hj h => by
induction h with
| refl =>
refine ⟨{i}, singleton_subset_iff.mpr hi, mem_singleton i, mem_singleton i, ?_⟩
rw [biUnion_singleton]
exact H i hi
| @tail j k _ hjk ih =>
obtain ⟨p, hpt, hip, hjp, hp⟩ := ih hjk.2
refine ⟨insert k p, insert_subset_iff.mpr ⟨hj, hpt⟩, mem_insert_of_mem k hip,
mem_insert k p, ?_⟩
rw [biUnion_insert]
refine (H k hj).union' (hjk.1.mono ?_) hp
rw [inter_comm]
exact inter_subset_inter_right _ (subset_biUnion_of_mem hjp)
refine isPreconnected_of_forall_pair ?_
intro x hx y hy
obtain ⟨i : ι, hi : i ∈ t, hxi : x ∈ s i⟩ := mem_iUnion₂.1 hx
obtain ⟨j : ι, hj : j ∈ t, hyj : y ∈ s j⟩ := mem_iUnion₂.1 hy
obtain ⟨p, hpt, hip, hjp, hp⟩ := P i hi j hj (K i hi j hj)
exact ⟨⋃ j ∈ p, s j, biUnion_subset_biUnion_left hpt, mem_biUnion hip hxi,
mem_biUnion hjp hyj, hp⟩
/-- The biUnion of a family of preconnected sets is preconnected if the graph determined by
whether two sets intersect is preconnected. -/
theorem IsConnected.biUnion_of_reflTransGen {ι : Type*} {t : Set ι} {s : ι → Set α}
(ht : t.Nonempty) (H : ∀ i ∈ t, IsConnected (s i))
(K : ∀ i, i ∈ t → ∀ j, j ∈ t → ReflTransGen (fun i j : ι => (s i ∩ s j).Nonempty ∧ i ∈ t) i j) :
IsConnected (⋃ n ∈ t, s n) :=
⟨nonempty_biUnion.2 <| ⟨ht.some, ht.some_mem, (H _ ht.some_mem).nonempty⟩,
IsPreconnected.biUnion_of_reflTransGen (fun i hi => (H i hi).isPreconnected) K⟩
/-- Preconnectedness of the iUnion of a family of preconnected sets
indexed by the vertices of a preconnected graph,
where two vertices are joined when the corresponding sets intersect. -/
theorem IsPreconnected.iUnion_of_reflTransGen {ι : Type*} {s : ι → Set α}
(H : ∀ i, IsPreconnected (s i))
(K : ∀ i j, ReflTransGen (fun i j : ι => (s i ∩ s j).Nonempty) i j) :
IsPreconnected (⋃ n, s n) := by
rw [← biUnion_univ]
exact IsPreconnected.biUnion_of_reflTransGen (fun i _ => H i) fun i _ j _ => by
simpa [mem_univ] using K i j
theorem IsConnected.iUnion_of_reflTransGen {ι : Type*} [Nonempty ι] {s : ι → Set α}
(H : ∀ i, IsConnected (s i))
(K : ∀ i j, ReflTransGen (fun i j : ι => (s i ∩ s j).Nonempty) i j) : IsConnected (⋃ n, s n) :=
⟨nonempty_iUnion.2 <| Nonempty.elim ‹_› fun i : ι => ⟨i, (H _).nonempty⟩,
IsPreconnected.iUnion_of_reflTransGen (fun i => (H i).isPreconnected) K⟩
section SuccOrder
open Order
variable [LinearOrder β] [SuccOrder β] [IsSuccArchimedean β]
/-- The iUnion of connected sets indexed by a type with an archimedean successor (like `ℕ` or `ℤ`)
such that any two neighboring sets meet is preconnected. -/
theorem IsPreconnected.iUnion_of_chain {s : β → Set α} (H : ∀ n, IsPreconnected (s n))
(K : ∀ n, (s n ∩ s (succ n)).Nonempty) : IsPreconnected (⋃ n, s n) :=
IsPreconnected.iUnion_of_reflTransGen H fun _ _ =>
reflTransGen_of_succ _ (fun i _ => K i) fun i _ => by
rw [inter_comm]
exact K i
/-- The iUnion of connected sets indexed by a type with an archimedean successor (like `ℕ` or `ℤ`)
such that any two neighboring sets meet is connected. -/
theorem IsConnected.iUnion_of_chain [Nonempty β] {s : β → Set α} (H : ∀ n, IsConnected (s n))
(K : ∀ n, (s n ∩ s (succ n)).Nonempty) : IsConnected (⋃ n, s n) :=
IsConnected.iUnion_of_reflTransGen H fun _ _ =>
reflTransGen_of_succ _ (fun i _ => K i) fun i _ => by
rw [inter_comm]
exact K i
/-- The iUnion of preconnected sets indexed by a subset of a type with an archimedean successor
(like `ℕ` or `ℤ`) such that any two neighboring sets meet is preconnected. -/
theorem IsPreconnected.biUnion_of_chain {s : β → Set α} {t : Set β} (ht : OrdConnected t)
(H : ∀ n ∈ t, IsPreconnected (s n))
(K : ∀ n : β, n ∈ t → succ n ∈ t → (s n ∩ s (succ n)).Nonempty) :
IsPreconnected (⋃ n ∈ t, s n) := by
have h1 : ∀ {i j k : β}, i ∈ t → j ∈ t → k ∈ Ico i j → k ∈ t := fun hi hj hk =>
ht.out hi hj (Ico_subset_Icc_self hk)
have h2 : ∀ {i j k : β}, i ∈ t → j ∈ t → k ∈ Ico i j → succ k ∈ t := fun hi hj hk =>
ht.out hi hj ⟨hk.1.trans <| le_succ _, succ_le_of_lt hk.2⟩
have h3 : ∀ {i j k : β}, i ∈ t → j ∈ t → k ∈ Ico i j → (s k ∩ s (succ k)).Nonempty :=
fun hi hj hk => K _ (h1 hi hj hk) (h2 hi hj hk)
refine IsPreconnected.biUnion_of_reflTransGen H fun i hi j hj => ?_
exact reflTransGen_of_succ _ (fun k hk => ⟨h3 hi hj hk, h1 hi hj hk⟩) fun k hk =>
⟨by rw [inter_comm]; exact h3 hj hi hk, h2 hj hi hk⟩
/-- The iUnion of connected sets indexed by a subset of a type with an archimedean successor
(like `ℕ` or `ℤ`) such that any two neighboring sets meet is preconnected. -/
theorem IsConnected.biUnion_of_chain {s : β → Set α} {t : Set β} (hnt : t.Nonempty)
(ht : OrdConnected t) (H : ∀ n ∈ t, IsConnected (s n))
(K : ∀ n : β, n ∈ t → succ n ∈ t → (s n ∩ s (succ n)).Nonempty) : IsConnected (⋃ n ∈ t, s n) :=
⟨nonempty_biUnion.2 <| ⟨hnt.some, hnt.some_mem, (H _ hnt.some_mem).nonempty⟩,
IsPreconnected.biUnion_of_chain ht (fun i hi => (H i hi).isPreconnected) K⟩
end SuccOrder
/-- Theorem of bark and tree: if a set is within a preconnected set and its closure, then it is
preconnected as well. See also `IsConnected.subset_closure`. -/
protected theorem IsPreconnected.subset_closure {s : Set α} {t : Set α} (H : IsPreconnected s)
(Kst : s ⊆ t) (Ktcs : t ⊆ closure s) : IsPreconnected t :=
fun u v hu hv htuv ⟨_y, hyt, hyu⟩ ⟨_z, hzt, hzv⟩ =>
let ⟨p, hpu, hps⟩ := mem_closure_iff.1 (Ktcs hyt) u hu hyu
let ⟨q, hqv, hqs⟩ := mem_closure_iff.1 (Ktcs hzt) v hv hzv
let ⟨r, hrs, hruv⟩ := H u v hu hv (Subset.trans Kst htuv) ⟨p, hps, hpu⟩ ⟨q, hqs, hqv⟩
⟨r, Kst hrs, hruv⟩
/-- Theorem of bark and tree: if a set is within a connected set and its closure, then it is
connected as well. See also `IsPreconnected.subset_closure`. -/
protected theorem IsConnected.subset_closure {s : Set α} {t : Set α} (H : IsConnected s)
(Kst : s ⊆ t) (Ktcs : t ⊆ closure s) : IsConnected t :=
⟨Nonempty.mono Kst H.left, IsPreconnected.subset_closure H.right Kst Ktcs⟩
/-- The closure of a preconnected set is preconnected as well. -/
protected theorem IsPreconnected.closure {s : Set α} (H : IsPreconnected s) :
IsPreconnected (closure s) :=
IsPreconnected.subset_closure H subset_closure Subset.rfl
/-- The closure of a connected set is connected as well. -/
protected theorem IsConnected.closure {s : Set α} (H : IsConnected s) : IsConnected (closure s) :=
IsConnected.subset_closure H subset_closure <| Subset.rfl
/-- The image of a preconnected set is preconnected as well. -/
protected theorem IsPreconnected.image [TopologicalSpace β] {s : Set α} (H : IsPreconnected s)
(f : α → β) (hf : ContinuousOn f s) : IsPreconnected (f '' s) := by
-- Unfold/destruct definitions in hypotheses
rintro u v hu hv huv ⟨_, ⟨x, xs, rfl⟩, xu⟩ ⟨_, ⟨y, ys, rfl⟩, yv⟩
rcases continuousOn_iff'.1 hf u hu with ⟨u', hu', u'_eq⟩
rcases continuousOn_iff'.1 hf v hv with ⟨v', hv', v'_eq⟩
-- Reformulate `huv : f '' s ⊆ u ∪ v` in terms of `u'` and `v'`
replace huv : s ⊆ u' ∪ v' := by
rw [image_subset_iff, preimage_union] at huv
replace huv := subset_inter huv Subset.rfl
rw [union_inter_distrib_right, u'_eq, v'_eq, ← union_inter_distrib_right] at huv
exact (subset_inter_iff.1 huv).1
-- Now `s ⊆ u' ∪ v'`, so we can apply `‹IsPreconnected s›`
obtain ⟨z, hz⟩ : (s ∩ (u' ∩ v')).Nonempty := by
refine H u' v' hu' hv' huv ⟨x, ?_⟩ ⟨y, ?_⟩ <;> rw [inter_comm]
exacts [u'_eq ▸ ⟨xu, xs⟩, v'_eq ▸ ⟨yv, ys⟩]
rw [← inter_self s, inter_assoc, inter_left_comm s u', ← inter_assoc, inter_comm s, inter_comm s,
← u'_eq, ← v'_eq] at hz
exact ⟨f z, ⟨z, hz.1.2, rfl⟩, hz.1.1, hz.2.1⟩
/-- The image of a connected set is connected as well. -/
protected theorem IsConnected.image [TopologicalSpace β] {s : Set α} (H : IsConnected s) (f : α → β)
(hf : ContinuousOn f s) : IsConnected (f '' s) :=
⟨image_nonempty.mpr H.nonempty, H.isPreconnected.image f hf⟩
theorem isPreconnected_closed_iff {s : Set α} :
IsPreconnected s ↔ ∀ t t', IsClosed t → IsClosed t' →
s ⊆ t ∪ t' → (s ∩ t).Nonempty → (s ∩ t').Nonempty → (s ∩ (t ∩ t')).Nonempty :=
⟨by
rintro h t t' ht ht' htt' ⟨x, xs, xt⟩ ⟨y, ys, yt'⟩
rw [← not_disjoint_iff_nonempty_inter, ← subset_compl_iff_disjoint_right, compl_inter]
intro h'
have xt' : x ∉ t' := (h' xs).resolve_left (absurd xt)
have yt : y ∉ t := (h' ys).resolve_right (absurd yt')
have := h _ _ ht.isOpen_compl ht'.isOpen_compl h' ⟨y, ys, yt⟩ ⟨x, xs, xt'⟩
rw [← compl_union] at this
exact this.ne_empty htt'.disjoint_compl_right.inter_eq,
by
rintro h u v hu hv huv ⟨x, xs, xu⟩ ⟨y, ys, yv⟩
rw [← not_disjoint_iff_nonempty_inter, ← subset_compl_iff_disjoint_right, compl_inter]
intro h'
have xv : x ∉ v := (h' xs).elim (absurd xu) id
have yu : y ∉ u := (h' ys).elim id (absurd yv)
have := h _ _ hu.isClosed_compl hv.isClosed_compl h' ⟨y, ys, yu⟩ ⟨x, xs, xv⟩
rw [← compl_union] at this
exact this.ne_empty huv.disjoint_compl_right.inter_eq⟩
theorem Topology.IsInducing.isPreconnected_image [TopologicalSpace β] {s : Set α} {f : α → β}
(hf : IsInducing f) : IsPreconnected (f '' s) ↔ IsPreconnected s := by
refine ⟨fun h => ?_, fun h => h.image _ hf.continuous.continuousOn⟩
rintro u v hu' hv' huv ⟨x, hxs, hxu⟩ ⟨y, hys, hyv⟩
rcases hf.isOpen_iff.1 hu' with ⟨u, hu, rfl⟩
rcases hf.isOpen_iff.1 hv' with ⟨v, hv, rfl⟩
replace huv : f '' s ⊆ u ∪ v := by rwa [image_subset_iff]
rcases h u v hu hv huv ⟨f x, mem_image_of_mem _ hxs, hxu⟩ ⟨f y, mem_image_of_mem _ hys, hyv⟩ with
⟨_, ⟨z, hzs, rfl⟩, hzuv⟩
exact ⟨z, hzs, hzuv⟩
@[deprecated (since := "2024-10-28")]
alias Inducing.isPreconnected_image := IsInducing.isPreconnected_image
/- TODO: The following lemmas about connection of preimages hold more generally for strict maps
(the quotient and subspace topologies of the image agree) whose fibers are preconnected. -/
theorem IsPreconnected.preimage_of_isOpenMap [TopologicalSpace β] {f : α → β} {s : Set β}
(hs : IsPreconnected s) (hinj : Function.Injective f) (hf : IsOpenMap f) (hsf : s ⊆ range f) :
IsPreconnected (f ⁻¹' s) := fun u v hu hv hsuv hsu hsv => by
replace hsf : f '' (f ⁻¹' s) = s := image_preimage_eq_of_subset hsf
obtain ⟨_, has, ⟨a, hau, rfl⟩, hav⟩ : (s ∩ (f '' u ∩ f '' v)).Nonempty := by
refine hs (f '' u) (f '' v) (hf u hu) (hf v hv) ?_ ?_ ?_
· simpa only [hsf, image_union] using image_subset f hsuv
· simpa only [image_preimage_inter] using hsu.image f
· simpa only [image_preimage_inter] using hsv.image f
· exact ⟨a, has, hau, hinj.mem_set_image.1 hav⟩
theorem IsPreconnected.preimage_of_isClosedMap [TopologicalSpace β] {s : Set β}
(hs : IsPreconnected s) {f : α → β} (hinj : Function.Injective f) (hf : IsClosedMap f)
(hsf : s ⊆ range f) : IsPreconnected (f ⁻¹' s) :=
isPreconnected_closed_iff.2 fun u v hu hv hsuv hsu hsv => by
replace hsf : f '' (f ⁻¹' s) = s := image_preimage_eq_of_subset hsf
obtain ⟨_, has, ⟨a, hau, rfl⟩, hav⟩ : (s ∩ (f '' u ∩ f '' v)).Nonempty := by
refine isPreconnected_closed_iff.1 hs (f '' u) (f '' v) (hf u hu) (hf v hv) ?_ ?_ ?_
· simpa only [hsf, image_union] using image_subset f hsuv
· simpa only [image_preimage_inter] using hsu.image f
· simpa only [image_preimage_inter] using hsv.image f
· exact ⟨a, has, hau, hinj.mem_set_image.1 hav⟩
theorem IsConnected.preimage_of_isOpenMap [TopologicalSpace β] {s : Set β} (hs : IsConnected s)
{f : α → β} (hinj : Function.Injective f) (hf : IsOpenMap f) (hsf : s ⊆ range f) :
IsConnected (f ⁻¹' s) :=
⟨hs.nonempty.preimage' hsf, hs.isPreconnected.preimage_of_isOpenMap hinj hf hsf⟩
theorem IsConnected.preimage_of_isClosedMap [TopologicalSpace β] {s : Set β} (hs : IsConnected s)
{f : α → β} (hinj : Function.Injective f) (hf : IsClosedMap f) (hsf : s ⊆ range f) :
IsConnected (f ⁻¹' s) :=
⟨hs.nonempty.preimage' hsf, hs.isPreconnected.preimage_of_isClosedMap hinj hf hsf⟩
theorem IsPreconnected.subset_or_subset (hu : IsOpen u) (hv : IsOpen v) (huv : Disjoint u v)
(hsuv : s ⊆ u ∪ v) (hs : IsPreconnected s) : s ⊆ u ∨ s ⊆ v := by
specialize hs u v hu hv hsuv
obtain hsu | hsu := (s ∩ u).eq_empty_or_nonempty
· exact Or.inr ((Set.disjoint_iff_inter_eq_empty.2 hsu).subset_right_of_subset_union hsuv)
· replace hs := mt (hs hsu)
simp_rw [Set.not_nonempty_iff_eq_empty, ← Set.disjoint_iff_inter_eq_empty,
disjoint_iff_inter_eq_empty.1 huv] at hs
exact Or.inl ((hs s.disjoint_empty).subset_left_of_subset_union hsuv)
theorem IsPreconnected.subset_left_of_subset_union (hu : IsOpen u) (hv : IsOpen v)
(huv : Disjoint u v) (hsuv : s ⊆ u ∪ v) (hsu : (s ∩ u).Nonempty) (hs : IsPreconnected s) :
s ⊆ u :=
Disjoint.subset_left_of_subset_union hsuv
(by
by_contra hsv
rw [not_disjoint_iff_nonempty_inter] at hsv
obtain ⟨x, _, hx⟩ := hs u v hu hv hsuv hsu hsv
exact Set.disjoint_iff.1 huv hx)
theorem IsPreconnected.subset_right_of_subset_union (hu : IsOpen u) (hv : IsOpen v)
(huv : Disjoint u v) (hsuv : s ⊆ u ∪ v) (hsv : (s ∩ v).Nonempty) (hs : IsPreconnected s) :
s ⊆ v :=
hs.subset_left_of_subset_union hv hu huv.symm (union_comm u v ▸ hsuv) hsv
/-- If a preconnected set `s` intersects an open set `u`, and limit points of `u` inside `s` are
contained in `u`, then the whole set `s` is contained in `u`. -/
theorem IsPreconnected.subset_of_closure_inter_subset (hs : IsPreconnected s) (hu : IsOpen u)
(h'u : (s ∩ u).Nonempty) (h : closure u ∩ s ⊆ u) : s ⊆ u := by
have A : s ⊆ u ∪ (closure u)ᶜ := by
intro x hx
by_cases xu : x ∈ u
· exact Or.inl xu
· right
intro h'x
exact xu (h (mem_inter h'x hx))
apply hs.subset_left_of_subset_union hu isClosed_closure.isOpen_compl _ A h'u
exact disjoint_compl_right.mono_right (compl_subset_compl.2 subset_closure)
theorem IsPreconnected.prod [TopologicalSpace β] {s : Set α} {t : Set β} (hs : IsPreconnected s)
(ht : IsPreconnected t) : IsPreconnected (s ×ˢ t) := by
apply isPreconnected_of_forall_pair
rintro ⟨a₁, b₁⟩ ⟨ha₁, hb₁⟩ ⟨a₂, b₂⟩ ⟨ha₂, hb₂⟩
refine ⟨Prod.mk a₁ '' t ∪ flip Prod.mk b₂ '' s, ?_, .inl ⟨b₁, hb₁, rfl⟩, .inr ⟨a₂, ha₂, rfl⟩, ?_⟩
· rintro _ (⟨y, hy, rfl⟩ | ⟨x, hx, rfl⟩)
exacts [⟨ha₁, hy⟩, ⟨hx, hb₂⟩]
· exact (ht.image _ (by fun_prop)).union (a₁, b₂) ⟨b₂, hb₂, rfl⟩
⟨a₁, ha₁, rfl⟩ (hs.image _ (Continuous.prodMk_left _).continuousOn)
theorem IsConnected.prod [TopologicalSpace β] {s : Set α} {t : Set β} (hs : IsConnected s)
(ht : IsConnected t) : IsConnected (s ×ˢ t) :=
⟨hs.1.prod ht.1, hs.2.prod ht.2⟩
theorem isPreconnected_univ_pi [∀ i, TopologicalSpace (π i)] {s : ∀ i, Set (π i)}
(hs : ∀ i, IsPreconnected (s i)) : IsPreconnected (pi univ s) := by
rintro u v uo vo hsuv ⟨f, hfs, hfu⟩ ⟨g, hgs, hgv⟩
classical
rcases exists_finset_piecewise_mem_of_mem_nhds (uo.mem_nhds hfu) g with ⟨I, hI⟩
induction I using Finset.induction_on with
| empty =>
refine ⟨g, hgs, ⟨?_, hgv⟩⟩
simpa using hI
| insert i I _ ihI =>
rw [Finset.piecewise_insert] at hI
have := I.piecewise_mem_set_pi hfs hgs
refine (hsuv this).elim ihI fun h => ?_
set S := update (I.piecewise f g) i '' s i
have hsub : S ⊆ pi univ s := by
refine image_subset_iff.2 fun z hz => ?_
rwa [update_preimage_univ_pi]
exact fun j _ => this j trivial
have hconn : IsPreconnected S :=
(hs i).image _ (continuous_const.update i continuous_id).continuousOn
have hSu : (S ∩ u).Nonempty := ⟨_, mem_image_of_mem _ (hfs _ trivial), hI⟩
have hSv : (S ∩ v).Nonempty := ⟨_, ⟨_, this _ trivial, update_eq_self _ _⟩, h⟩
refine (hconn u v uo vo (hsub.trans hsuv) hSu hSv).mono ?_
exact inter_subset_inter_left _ hsub
@[simp]
theorem isConnected_univ_pi [∀ i, TopologicalSpace (π i)] {s : ∀ i, Set (π i)} :
IsConnected (pi univ s) ↔ ∀ i, IsConnected (s i) := by
simp only [IsConnected, ← univ_pi_nonempty_iff, forall_and, and_congr_right_iff]
refine fun hne => ⟨fun hc i => ?_, isPreconnected_univ_pi⟩
rw [← eval_image_univ_pi hne]
exact hc.image _ (continuous_apply _).continuousOn
/-- The connected component of a point is the maximal connected set
that contains this point. -/
def connectedComponent (x : α) : Set α :=
⋃₀ { s : Set α | IsPreconnected s ∧ x ∈ s }
open Classical in
/-- Given a set `F` in a topological space `α` and a point `x : α`, the connected
component of `x` in `F` is the connected component of `x` in the subtype `F` seen as
a set in `α`. This definition does not make sense if `x` is not in `F` so we return the
empty set in this case. -/
def connectedComponentIn (F : Set α) (x : α) : Set α :=
if h : x ∈ F then (↑) '' connectedComponent (⟨x, h⟩ : F) else ∅
theorem connectedComponentIn_eq_image {F : Set α} {x : α} (h : x ∈ F) :
connectedComponentIn F x = (↑) '' connectedComponent (⟨x, h⟩ : F) :=
dif_pos h
theorem connectedComponentIn_eq_empty {F : Set α} {x : α} (h : x ∉ F) :
connectedComponentIn F x = ∅ :=
dif_neg h
theorem mem_connectedComponent {x : α} : x ∈ connectedComponent x :=
mem_sUnion_of_mem (mem_singleton x) ⟨isPreconnected_singleton, mem_singleton x⟩
theorem mem_connectedComponentIn {x : α} {F : Set α} (hx : x ∈ F) :
x ∈ connectedComponentIn F x := by
simp [connectedComponentIn_eq_image hx, mem_connectedComponent, hx]
theorem connectedComponent_nonempty {x : α} : (connectedComponent x).Nonempty :=
⟨x, mem_connectedComponent⟩
theorem connectedComponentIn_nonempty_iff {x : α} {F : Set α} :
(connectedComponentIn F x).Nonempty ↔ x ∈ F := by
rw [connectedComponentIn]
split_ifs <;> simp [connectedComponent_nonempty, *]
theorem connectedComponentIn_subset (F : Set α) (x : α) : connectedComponentIn F x ⊆ F := by
rw [connectedComponentIn]
split_ifs <;> simp
theorem isPreconnected_connectedComponent {x : α} : IsPreconnected (connectedComponent x) :=
isPreconnected_sUnion x _ (fun _ => And.right) fun _ => And.left
theorem isPreconnected_connectedComponentIn {x : α} {F : Set α} :
IsPreconnected (connectedComponentIn F x) := by
rw [connectedComponentIn]; split_ifs
· exact IsInducing.subtypeVal.isPreconnected_image.mpr isPreconnected_connectedComponent
· exact isPreconnected_empty
theorem isConnected_connectedComponent {x : α} : IsConnected (connectedComponent x) :=
⟨⟨x, mem_connectedComponent⟩, isPreconnected_connectedComponent⟩
theorem isConnected_connectedComponentIn_iff {x : α} {F : Set α} :
IsConnected (connectedComponentIn F x) ↔ x ∈ F := by
simp_rw [← connectedComponentIn_nonempty_iff, IsConnected, isPreconnected_connectedComponentIn,
and_true]
theorem IsPreconnected.subset_connectedComponent {x : α} {s : Set α} (H1 : IsPreconnected s)
(H2 : x ∈ s) : s ⊆ connectedComponent x := fun _z hz => mem_sUnion_of_mem hz ⟨H1, H2⟩
theorem IsPreconnected.subset_connectedComponentIn {x : α} {F : Set α} (hs : IsPreconnected s)
(hxs : x ∈ s) (hsF : s ⊆ F) : s ⊆ connectedComponentIn F x := by
have : IsPreconnected (((↑) : F → α) ⁻¹' s) := by
refine IsInducing.subtypeVal.isPreconnected_image.mp ?_
rwa [Subtype.image_preimage_coe, inter_eq_right.mpr hsF]
have h2xs : (⟨x, hsF hxs⟩ : F) ∈ (↑) ⁻¹' s := by
rw [mem_preimage]
exact hxs
have := this.subset_connectedComponent h2xs
rw [connectedComponentIn_eq_image (hsF hxs)]
refine Subset.trans ?_ (image_subset _ this)
rw [Subtype.image_preimage_coe, inter_eq_right.mpr hsF]
theorem IsConnected.subset_connectedComponent {x : α} {s : Set α} (H1 : IsConnected s)
(H2 : x ∈ s) : s ⊆ connectedComponent x :=
H1.2.subset_connectedComponent H2
theorem IsPreconnected.connectedComponentIn {x : α} {F : Set α} (h : IsPreconnected F)
(hx : x ∈ F) : connectedComponentIn F x = F :=
(connectedComponentIn_subset F x).antisymm (h.subset_connectedComponentIn hx subset_rfl)
theorem connectedComponent_eq {x y : α} (h : y ∈ connectedComponent x) :
connectedComponent x = connectedComponent y :=
eq_of_subset_of_subset (isConnected_connectedComponent.subset_connectedComponent h)
(isConnected_connectedComponent.subset_connectedComponent
(Set.mem_of_mem_of_subset mem_connectedComponent
(isConnected_connectedComponent.subset_connectedComponent h)))
theorem connectedComponent_eq_iff_mem {x y : α} :
connectedComponent x = connectedComponent y ↔ x ∈ connectedComponent y :=
⟨fun h => h ▸ mem_connectedComponent, fun h => (connectedComponent_eq h).symm⟩
theorem connectedComponentIn_eq {x y : α} {F : Set α} (h : y ∈ connectedComponentIn F x) :
connectedComponentIn F x = connectedComponentIn F y := by
have hx : x ∈ F := connectedComponentIn_nonempty_iff.mp ⟨y, h⟩
simp_rw [connectedComponentIn_eq_image hx] at h ⊢
obtain ⟨⟨y, hy⟩, h2y, rfl⟩ := h
simp_rw [connectedComponentIn_eq_image hy, connectedComponent_eq h2y]
theorem connectedComponentIn_univ (x : α) : connectedComponentIn univ x = connectedComponent x :=
subset_antisymm
(isPreconnected_connectedComponentIn.subset_connectedComponent <|
mem_connectedComponentIn trivial)
(isPreconnected_connectedComponent.subset_connectedComponentIn mem_connectedComponent <|
subset_univ _)
theorem connectedComponent_disjoint {x y : α} (h : connectedComponent x ≠ connectedComponent y) :
Disjoint (connectedComponent x) (connectedComponent y) :=
Set.disjoint_left.2 fun _ h1 h2 =>
h ((connectedComponent_eq h1).trans (connectedComponent_eq h2).symm)
theorem isClosed_connectedComponent {x : α} : IsClosed (connectedComponent x) :=
closure_subset_iff_isClosed.1 <|
isConnected_connectedComponent.closure.subset_connectedComponent <|
subset_closure mem_connectedComponent
theorem Continuous.image_connectedComponent_subset [TopologicalSpace β] {f : α → β}
(h : Continuous f) (a : α) : f '' connectedComponent a ⊆ connectedComponent (f a) :=
(isConnected_connectedComponent.image f h.continuousOn).subset_connectedComponent
((mem_image f (connectedComponent a) (f a)).2 ⟨a, mem_connectedComponent, rfl⟩)
theorem Continuous.image_connectedComponentIn_subset [TopologicalSpace β] {f : α → β} {s : Set α}
{a : α} (hf : Continuous f) (hx : a ∈ s) :
f '' connectedComponentIn s a ⊆ connectedComponentIn (f '' s) (f a) :=
(isPreconnected_connectedComponentIn.image _ hf.continuousOn).subset_connectedComponentIn
(mem_image_of_mem _ <| mem_connectedComponentIn hx)
(image_subset _ <| connectedComponentIn_subset _ _)
theorem Continuous.mapsTo_connectedComponent [TopologicalSpace β] {f : α → β} (h : Continuous f)
(a : α) : MapsTo f (connectedComponent a) (connectedComponent (f a)) :=
mapsTo'.2 <| h.image_connectedComponent_subset a
theorem Continuous.mapsTo_connectedComponentIn [TopologicalSpace β] {f : α → β} {s : Set α}
(h : Continuous f) {a : α} (hx : a ∈ s) :
MapsTo f (connectedComponentIn s a) (connectedComponentIn (f '' s) (f a)) :=
mapsTo'.2 <| image_connectedComponentIn_subset h hx
theorem irreducibleComponent_subset_connectedComponent {x : α} :
irreducibleComponent x ⊆ connectedComponent x :=
isIrreducible_irreducibleComponent.isConnected.subset_connectedComponent mem_irreducibleComponent
@[mono]
theorem connectedComponentIn_mono (x : α) {F G : Set α} (h : F ⊆ G) :
connectedComponentIn F x ⊆ connectedComponentIn G x := by
by_cases hx : x ∈ F
· rw [connectedComponentIn_eq_image hx, connectedComponentIn_eq_image (h hx), ←
show ((↑) : G → α) ∘ inclusion h = (↑) from rfl, image_comp]
exact image_subset _ ((continuous_inclusion h).image_connectedComponent_subset ⟨x, hx⟩)
· rw [connectedComponentIn_eq_empty hx]
exact Set.empty_subset _
/-- A preconnected space is one where there is no non-trivial open partition. -/
class PreconnectedSpace (α : Type u) [TopologicalSpace α] : Prop where
/-- The universal set `Set.univ` in a preconnected space is a preconnected set. -/
isPreconnected_univ : IsPreconnected (univ : Set α)
export PreconnectedSpace (isPreconnected_univ)
/-- A connected space is a nonempty one where there is no non-trivial open partition. -/
class ConnectedSpace (α : Type u) [TopologicalSpace α] : Prop extends PreconnectedSpace α where
/-- A connected space is nonempty. -/
toNonempty : Nonempty α
attribute [instance 50] ConnectedSpace.toNonempty -- see Note [lower instance priority]
-- see Note [lower instance priority]
theorem isConnected_univ [ConnectedSpace α] : IsConnected (univ : Set α) :=
⟨univ_nonempty, isPreconnected_univ⟩
lemma preconnectedSpace_iff_univ : PreconnectedSpace α ↔ IsPreconnected (univ : Set α) :=
⟨fun h ↦ h.1, fun h ↦ ⟨h⟩⟩
lemma connectedSpace_iff_univ : ConnectedSpace α ↔ IsConnected (univ : Set α) :=
⟨fun h ↦ ⟨univ_nonempty, h.1.1⟩,
fun h ↦ ConnectedSpace.mk (toPreconnectedSpace := ⟨h.2⟩) ⟨h.1.some⟩⟩
theorem isPreconnected_range [TopologicalSpace β] [PreconnectedSpace α] {f : α → β}
(h : Continuous f) : IsPreconnected (range f) :=
@image_univ _ _ f ▸ isPreconnected_univ.image _ h.continuousOn
theorem isConnected_range [TopologicalSpace β] [ConnectedSpace α] {f : α → β} (h : Continuous f) :
IsConnected (range f) :=
⟨range_nonempty f, isPreconnected_range h⟩
theorem Function.Surjective.connectedSpace [ConnectedSpace α] [TopologicalSpace β]
{f : α → β} (hf : Surjective f) (hf' : Continuous f) : ConnectedSpace β := by
rw [connectedSpace_iff_univ, ← hf.range_eq]
exact isConnected_range hf'
instance Quotient.instConnectedSpace {s : Setoid α} [ConnectedSpace α] :
ConnectedSpace (Quotient s) :=
Quotient.mk'_surjective.connectedSpace continuous_coinduced_rng
theorem DenseRange.preconnectedSpace [TopologicalSpace β] [PreconnectedSpace α] {f : α → β}
(hf : DenseRange f) (hc : Continuous f) : PreconnectedSpace β :=
⟨hf.closure_eq ▸ (isPreconnected_range hc).closure⟩
theorem connectedSpace_iff_connectedComponent :
ConnectedSpace α ↔ ∃ x : α, connectedComponent x = univ := by
constructor
· rintro ⟨⟨x⟩⟩
exact
⟨x, eq_univ_of_univ_subset <| isPreconnected_univ.subset_connectedComponent (mem_univ x)⟩
· rintro ⟨x, h⟩
haveI : PreconnectedSpace α :=
⟨by rw [← h]; exact isPreconnected_connectedComponent⟩
exact ⟨⟨x⟩⟩
theorem preconnectedSpace_iff_connectedComponent :
PreconnectedSpace α ↔ ∀ x : α, connectedComponent x = univ := by
constructor
· intro h x
exact eq_univ_of_univ_subset <| isPreconnected_univ.subset_connectedComponent (mem_univ x)
· intro h
rcases isEmpty_or_nonempty α with hα | hα
· exact ⟨by rw [univ_eq_empty_iff.mpr hα]; exact isPreconnected_empty⟩
· exact ⟨by rw [← h (Classical.choice hα)]; exact isPreconnected_connectedComponent⟩
@[simp]
| theorem PreconnectedSpace.connectedComponent_eq_univ {X : Type*} [TopologicalSpace X]
[h : PreconnectedSpace X] (x : X) : connectedComponent x = univ :=
preconnectedSpace_iff_connectedComponent.mp h x
instance [TopologicalSpace β] [PreconnectedSpace α] [PreconnectedSpace β] :
PreconnectedSpace (α × β) :=
| Mathlib/Topology/Connected/Basic.lean | 678 | 683 |
/-
Copyright (c) 2021 Luke Kershaw. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Luke Kershaw, Joël Riou
-/
import Mathlib.Algebra.Homology.ShortComplex.Basic
import Mathlib.CategoryTheory.Limits.Constructions.FiniteProductsOfBinaryProducts
import Mathlib.CategoryTheory.Triangulated.TriangleShift
/-!
# Pretriangulated Categories
This file contains the definition of pretriangulated categories and triangulated functors
between them.
## Implementation Notes
We work under the assumption that pretriangulated categories are preadditive categories,
but not necessarily additive categories, as is assumed in some sources.
TODO: generalise this to n-angulated categories as in https://arxiv.org/abs/1006.4592
-/
assert_not_exists TwoSidedIdeal
noncomputable section
open CategoryTheory Preadditive Limits
universe v v₀ v₁ v₂ u u₀ u₁ u₂
namespace CategoryTheory
open Category Pretriangulated ZeroObject
/-
We work in a preadditive category `C` equipped with an additive shift.
-/
variable (C : Type u) [Category.{v} C] [HasZeroObject C] [HasShift C ℤ] [Preadditive C]
/-- A preadditive category `C` with an additive shift, and a class of "distinguished triangles"
relative to that shift is called pretriangulated if the following hold:
* Any triangle that is isomorphic to a distinguished triangle is also distinguished.
* Any triangle of the form `(X,X,0,id,0,0)` is distinguished.
* For any morphism `f : X ⟶ Y` there exists a distinguished triangle of the form `(X,Y,Z,f,g,h)`.
* The triangle `(X,Y,Z,f,g,h)` is distinguished if and only if `(Y,Z,X⟦1⟧,g,h,-f⟦1⟧)` is.
* Given a diagram:
```
f g h
X ───> Y ───> Z ───> X⟦1⟧
│ │ │
│a │b │a⟦1⟧'
V V V
X' ───> Y' ───> Z' ───> X'⟦1⟧
f' g' h'
```
where the left square commutes, and whose rows are distinguished triangles,
there exists a morphism `c : Z ⟶ Z'` such that `(a,b,c)` is a triangle morphism.
-/
@[stacks 0145]
class Pretriangulated [∀ n : ℤ, Functor.Additive (shiftFunctor C n)] where
/-- a class of triangle which are called `distinguished` -/
distinguishedTriangles : Set (Triangle C)
/-- a triangle that is isomorphic to a distinguished triangle is distinguished -/
isomorphic_distinguished :
∀ T₁ ∈ distinguishedTriangles, ∀ (T₂) (_ : T₂ ≅ T₁), T₂ ∈ distinguishedTriangles
/-- obvious triangles `X ⟶ X ⟶ 0 ⟶ X⟦1⟧` are distinguished -/
contractible_distinguished : ∀ X : C, contractibleTriangle X ∈ distinguishedTriangles
/-- any morphism `X ⟶ Y` is part of a distinguished triangle `X ⟶ Y ⟶ Z ⟶ X⟦1⟧` -/
distinguished_cocone_triangle :
∀ {X Y : C} (f : X ⟶ Y),
∃ (Z : C) (g : Y ⟶ Z) (h : Z ⟶ X⟦(1 : ℤ)⟧), Triangle.mk f g h ∈ distinguishedTriangles
/-- a triangle is distinguished iff it is so after rotating it -/
rotate_distinguished_triangle :
∀ T : Triangle C, T ∈ distinguishedTriangles ↔ T.rotate ∈ distinguishedTriangles
/-- given two distinguished triangle, a commutative square
can be extended as morphism of triangles -/
complete_distinguished_triangle_morphism :
∀ (T₁ T₂ : Triangle C) (_ : T₁ ∈ distinguishedTriangles) (_ : T₂ ∈ distinguishedTriangles)
(a : T₁.obj₁ ⟶ T₂.obj₁) (b : T₁.obj₂ ⟶ T₂.obj₂) (_ : T₁.mor₁ ≫ b = a ≫ T₂.mor₁),
∃ c : T₁.obj₃ ⟶ T₂.obj₃, T₁.mor₂ ≫ c = b ≫ T₂.mor₂ ∧ T₁.mor₃ ≫ a⟦1⟧' = c ≫ T₂.mor₃
namespace Pretriangulated
variable [∀ n : ℤ, Functor.Additive (CategoryTheory.shiftFunctor C n)] [hC : Pretriangulated C]
-- Porting note: increased the priority so that we can write `T ∈ distTriang C`, and
-- not just `T ∈ (distTriang C)`
/-- distinguished triangles in a pretriangulated category -/
notation:60 "distTriang " C => @distinguishedTriangles C _ _ _ _ _ _
variable {C}
lemma distinguished_iff_of_iso {T₁ T₂ : Triangle C} (e : T₁ ≅ T₂) :
(T₁ ∈ distTriang C) ↔ T₂ ∈ distTriang C :=
⟨fun hT₁ => isomorphic_distinguished _ hT₁ _ e.symm,
fun hT₂ => isomorphic_distinguished _ hT₂ _ e⟩
/-- Given any distinguished triangle `T`, then we know `T.rotate` is also distinguished.
-/
theorem rot_of_distTriang (T : Triangle C) (H : T ∈ distTriang C) : T.rotate ∈ distTriang C :=
(rotate_distinguished_triangle T).mp H
/-- Given any distinguished triangle `T`, then we know `T.inv_rotate` is also distinguished.
-/
theorem inv_rot_of_distTriang (T : Triangle C) (H : T ∈ distTriang C) :
T.invRotate ∈ distTriang C :=
(rotate_distinguished_triangle T.invRotate).mpr
(isomorphic_distinguished T H T.invRotate.rotate (invRotCompRot.app T))
/-- Given any distinguished triangle
```
f g h
X ───> Y ───> Z ───> X⟦1⟧
```
the composition `f ≫ g = 0`. -/
@[reassoc, stacks 0146]
theorem comp_distTriang_mor_zero₁₂ (T) (H : T ∈ (distTriang C)) : T.mor₁ ≫ T.mor₂ = 0 := by
obtain ⟨c, hc⟩ :=
complete_distinguished_triangle_morphism _ _ (contractible_distinguished T.obj₁) H (𝟙 T.obj₁)
T.mor₁ rfl
simpa only [contractibleTriangle_mor₂, zero_comp] using hc.left.symm
/-- Given any distinguished triangle
```
f g h
X ───> Y ───> Z ───> X⟦1⟧
```
the composition `g ≫ h = 0`. -/
@[reassoc, stacks 0146]
theorem comp_distTriang_mor_zero₂₃ (T : Triangle C) (H : T ∈ distTriang C) :
T.mor₂ ≫ T.mor₃ = 0 :=
comp_distTriang_mor_zero₁₂ T.rotate (rot_of_distTriang T H)
/-- Given any distinguished triangle
```
f g h
X ───> Y ───> Z ───> X⟦1⟧
```
the composition `h ≫ f⟦1⟧ = 0`. -/
@[reassoc, stacks 0146]
theorem comp_distTriang_mor_zero₃₁ (T : Triangle C) (H : T ∈ distTriang C) :
T.mor₃ ≫ T.mor₁⟦1⟧' = 0 := by
have H₂ := rot_of_distTriang T.rotate (rot_of_distTriang T H)
simpa using comp_distTriang_mor_zero₁₂ T.rotate.rotate H₂
/-- The short complex `T.obj₁ ⟶ T.obj₂ ⟶ T.obj₃` attached to a distinguished triangle. -/
@[simps]
def shortComplexOfDistTriangle (T : Triangle C) (hT : T ∈ distTriang C) : ShortComplex C :=
ShortComplex.mk T.mor₁ T.mor₂ (comp_distTriang_mor_zero₁₂ _ hT)
/-- The isomorphism between the short complex attached to
two isomorphic distinguished triangles. -/
@[simps!]
| def shortComplexOfDistTriangleIsoOfIso {T T' : Triangle C} (e : T ≅ T') (hT : T ∈ distTriang C) :
shortComplexOfDistTriangle T hT ≅ shortComplexOfDistTriangle T'
(isomorphic_distinguished _ hT _ e.symm) :=
ShortComplex.isoMk (Triangle.π₁.mapIso e) (Triangle.π₂.mapIso e) (Triangle.π₃.mapIso e)
| Mathlib/CategoryTheory/Triangulated/Pretriangulated.lean | 156 | 159 |
/-
Copyright (c) 2020 Kexing Ying. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kexing Ying
-/
import Mathlib.Algebra.Group.Subgroup.Basic
import Mathlib.GroupTheory.Submonoid.Center
/-!
# Centers of subgroups
-/
assert_not_exists MonoidWithZero Multiset
variable {G : Type*} [Group G]
namespace Subgroup
variable (G)
/-- The center of a group `G` is the set of elements that commute with everything in `G` -/
@[to_additive
"The center of an additive group `G` is the set of elements that commute with
everything in `G`"]
def center : Subgroup G :=
{ Submonoid.center G with
carrier := Set.center G
inv_mem' := Set.inv_mem_center }
@[to_additive]
theorem coe_center : ↑(center G) = Set.center G :=
rfl
@[to_additive (attr := simp)]
theorem center_toSubmonoid : (center G).toSubmonoid = Submonoid.center G :=
rfl
instance center.isMulCommutative : IsMulCommutative (center G) :=
⟨⟨fun a b => Subtype.ext (b.2.comm a).symm⟩⟩
@[deprecated (since := "2025-04-09")] alias center.isCommutative := Subgroup.center.isMulCommutative
variable {G} in
/-- The center of isomorphic groups are isomorphic. -/
@[to_additive (attr := simps!) "The center of isomorphic additive groups are isomorphic."]
def centerCongr {H} [Group H] (e : G ≃* H) : center G ≃* center H := Submonoid.centerCongr e
/-- The center of a group is isomorphic to the center of its opposite. -/
@[to_additive (attr := simps!)
"The center of an additive group is isomorphic to the center of its opposite."]
def centerToMulOpposite : center G ≃* center Gᵐᵒᵖ := Submonoid.centerToMulOpposite
variable {G}
@[to_additive]
theorem mem_center_iff {z : G} : z ∈ center G ↔ ∀ g, g * z = z * g := by
rw [← Semigroup.mem_center_iff]
exact Iff.rfl
instance decidableMemCenter (z : G) [Decidable (∀ g, g * z = z * g)] : Decidable (z ∈ center G) :=
decidable_of_iff' _ mem_center_iff
@[to_additive]
instance centerCharacteristic : (center G).Characteristic := by
refine characteristic_iff_comap_le.mpr fun ϕ g hg => ?_
rw [mem_center_iff]
intro h
rw [← ϕ.injective.eq_iff, map_mul, map_mul]
exact (hg.comm (ϕ h)).symm
theorem _root_.CommGroup.center_eq_top {G : Type*} [CommGroup G] : center G = ⊤ := by
rw [eq_top_iff']
intro x
rw [Subgroup.mem_center_iff]
intro y
exact mul_comm y x
/-- A group is commutative if the center is the whole group -/
def _root_.Group.commGroupOfCenterEqTop (h : center G = ⊤) : CommGroup G :=
{ ‹Group G› with
mul_comm := by
rw [eq_top_iff'] at h
intro x y
apply Subgroup.mem_center_iff.mp _ x
exact h y
}
variable {H : Subgroup G}
section Normalizer
@[to_additive]
theorem center_le_normalizer : center G ≤ H.normalizer := fun x hx y => by
simp [← mem_center_iff.mp hx y, mul_assoc]
end Normalizer
end Subgroup
namespace IsConj
variable {M : Type*} [Monoid M]
theorem eq_of_left_mem_center {g h : M} (H : IsConj g h) (Hg : g ∈ Set.center M) : g = h := by
rcases H with ⟨u, hu⟩; rwa [← u.mul_left_inj, Hg.comm u]
theorem eq_of_right_mem_center {g h : M} (H : IsConj g h) (Hh : h ∈ Set.center M) : g = h :=
(H.symm.eq_of_left_mem_center Hh).symm
end IsConj
namespace ConjClasses
theorem mk_bijOn (G : Type*) [Group G] :
Set.BijOn ConjClasses.mk (↑(Subgroup.center G)) (noncenter G)ᶜ := by
refine ⟨fun g hg ↦ ?_, fun x hx y _ H ↦ ?_, ?_⟩
| · simp only [mem_noncenter, Set.compl_def, Set.mem_setOf, Set.not_nontrivial_iff]
intro x hx y hy
| Mathlib/GroupTheory/Subgroup/Center.lean | 118 | 119 |
/-
Copyright (c) 2023 Adam Topaz. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Adam Topaz, Dagur Asgeirsson
-/
import Mathlib.Topology.Category.CompHaus.Basic
import Mathlib.Topology.Category.CompHausLike.Limits
/-!
# Explicit limits and colimits
This file applies the general API for explicit limits and colimits in `CompHausLike P` (see
the file `Mathlib.Topology.Category.CompHausLike.Limits`) to the special case of `CompHaus`.
-/
namespace CompHaus
universe u w
open CategoryTheory Limits CompHausLike
instance : HasExplicitPullbacks (fun _ ↦ True) where
hasProp _ _ := inferInstance
instance : HasExplicitFiniteCoproducts.{w, u} (fun _ ↦ True) where
hasProp _ := inferInstance
example : FinitaryExtensive CompHaus.{u} := inferInstance
/-- A one-element space is terminal in `CompHaus` -/
abbrev isTerminalPUnit : IsTerminal (CompHaus.of PUnit.{u + 1}) := CompHausLike.isTerminalPUnit
/-- The isomorphism from an arbitrary terminal object of `CompHaus` to a one-element space. -/
noncomputable def terminalIsoPUnit : ⊤_ CompHaus.{u} ≅ CompHaus.of PUnit :=
terminalIsTerminal.uniqueUpToIso CompHaus.isTerminalPUnit
noncomputable example : PreservesFiniteCoproducts compHausToTop := inferInstance
end CompHaus
| Mathlib/Topology/Category/CompHaus/Limits.lean | 216 | 218 | |
/-
Copyright (c) 2019 Johan Commelin. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johan Commelin
-/
import Mathlib.FieldTheory.Finite.Basic
/-!
# The Chevalley–Warning theorem
This file contains a proof of the Chevalley–Warning theorem.
Throughout most of this file, `K` denotes a finite field
and `q` is notation for the cardinality of `K`.
## Main results
1. Let `f` be a multivariate polynomial in finitely many variables (`X s`, `s : σ`)
such that the total degree of `f` is less than `(q-1)` times the cardinality of `σ`.
Then the evaluation of `f` on all points of `σ → K` (aka `K^σ`) sums to `0`.
(`sum_eval_eq_zero`)
2. The Chevalley–Warning theorem (`char_dvd_card_solutions_of_sum_lt`).
Let `f i` be a finite family of multivariate polynomials
in finitely many variables (`X s`, `s : σ`) such that
the sum of the total degrees of the `f i` is less than the cardinality of `σ`.
Then the number of common solutions of the `f i`
is divisible by the characteristic of `K`.
## Notation
- `K` is a finite field
- `q` is notation for the cardinality of `K`
- `σ` is the indexing type for the variables of a multivariate polynomial ring over `K`
-/
universe u v
section FiniteField
open MvPolynomial
open Function hiding eval
open Finset FiniteField
variable {K σ ι : Type*} [Fintype K] [Field K] [Fintype σ] [DecidableEq σ]
local notation "q" => Fintype.card K
theorem MvPolynomial.sum_eval_eq_zero (f : MvPolynomial σ K)
(h : f.totalDegree < (q - 1) * Fintype.card σ) : ∑ x, eval x f = 0 := by
| haveI : DecidableEq K := Classical.decEq K
calc
∑ x, eval x f = ∑ x : σ → K, ∑ d ∈ f.support, f.coeff d * ∏ i, x i ^ d i := by
simp only [eval_eq']
_ = ∑ d ∈ f.support, ∑ x : σ → K, f.coeff d * ∏ i, x i ^ d i := sum_comm
_ = 0 := sum_eq_zero ?_
intro d hd
obtain ⟨i, hi⟩ : ∃ i, d i < q - 1 := f.exists_degree_lt (q - 1) h hd
calc
(∑ x : σ → K, f.coeff d * ∏ i, x i ^ d i) = f.coeff d * ∑ x : σ → K, ∏ i, x i ^ d i :=
(mul_sum ..).symm
_ = 0 := (mul_eq_zero.mpr ∘ Or.inr) ?_
calc
(∑ x : σ → K, ∏ i, x i ^ d i) =
∑ x₀ : { j // j ≠ i } → K, ∑ x : { x : σ → K // x ∘ (↑) = x₀ }, ∏ j, (x : σ → K) j ^ d j :=
(Fintype.sum_fiberwise _ _).symm
_ = 0 := Fintype.sum_eq_zero _ ?_
intro x₀
let e : K ≃ { x // x ∘ ((↑) : _ → σ) = x₀ } := (Equiv.subtypeEquivCodomain _).symm
calc
(∑ x : { x : σ → K // x ∘ (↑) = x₀ }, ∏ j, (x : σ → K) j ^ d j) =
∑ a : K, ∏ j : σ, (e a : σ → K) j ^ d j := (e.sum_comp _).symm
_ = ∑ a : K, (∏ j, x₀ j ^ d j) * a ^ d i := Fintype.sum_congr _ _ ?_
_ = (∏ j, x₀ j ^ d j) * ∑ a : K, a ^ d i := by rw [mul_sum]
_ = 0 := by rw [sum_pow_lt_card_sub_one K _ hi, mul_zero]
intro a
let e' : { j // j = i } ⊕ { j // j ≠ i } ≃ σ := Equiv.sumCompl _
letI : Unique { j // j = i } :=
{ default := ⟨i, rfl⟩
uniq := fun ⟨j, h⟩ => Subtype.val_injective h }
calc
(∏ j : σ, (e a : σ → K) j ^ d j) =
(e a : σ → K) i ^ d i * ∏ j : { j // j ≠ i }, (e a : σ → K) j ^ d j := by
rw [← e'.prod_comp, Fintype.prod_sum_type, univ_unique, prod_singleton]; rfl
_ = a ^ d i * ∏ j : { j // j ≠ i }, (e a : σ → K) j ^ d j := by
rw [Equiv.subtypeEquivCodomain_symm_apply_eq]
_ = a ^ d i * ∏ j, x₀ j ^ d j := congr_arg _ (Fintype.prod_congr _ _ ?_)
-- see below
_ = (∏ j, x₀ j ^ d j) * a ^ d i := mul_comm _ _
-- the remaining step of the calculation above
rintro ⟨j, hj⟩
show (e a : σ → K) j ^ d j = x₀ ⟨j, hj⟩ ^ d j
rw [Equiv.subtypeEquivCodomain_symm_apply_ne]
variable [DecidableEq K] (p : ℕ) [CharP K p]
| Mathlib/FieldTheory/ChevalleyWarning.lean | 53 | 97 |
/-
Copyright (c) 2021 Kim Morrison. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kim Morrison
-/
import Mathlib.CategoryTheory.Subobject.Limits
/-!
# Image-to-kernel comparison maps
Whenever `f : A ⟶ B` and `g : B ⟶ C` satisfy `w : f ≫ g = 0`,
we have `image_le_kernel f g w : imageSubobject f ≤ kernelSubobject g`
(assuming the appropriate images and kernels exist).
`imageToKernel f g w` is the corresponding morphism between objects in `C`.
-/
universe v u w
open CategoryTheory CategoryTheory.Limits
variable {ι : Type*}
variable {V : Type u} [Category.{v} V] [HasZeroMorphisms V]
noncomputable section
section
variable {A B C : V} (f : A ⟶ B) [HasImage f] (g : B ⟶ C) [HasKernel g]
theorem image_le_kernel (w : f ≫ g = 0) : imageSubobject f ≤ kernelSubobject g :=
imageSubobject_le_mk _ _ (kernel.lift _ _ w) (by simp)
/-- The canonical morphism `imageSubobject f ⟶ kernelSubobject g` when `f ≫ g = 0`.
-/
def imageToKernel (w : f ≫ g = 0) : (imageSubobject f : V) ⟶ (kernelSubobject g : V) :=
Subobject.ofLE _ _ (image_le_kernel _ _ w)
instance (w : f ≫ g = 0) : Mono (imageToKernel f g w) := by
dsimp only [imageToKernel]
infer_instance
/-- Prefer `imageToKernel`. -/
@[simp]
theorem subobject_ofLE_as_imageToKernel (w : f ≫ g = 0) (h) :
Subobject.ofLE (imageSubobject f) (kernelSubobject g) h = imageToKernel f g w :=
rfl
attribute [local instance] HasForget.instFunLike
-- Porting note: removed elementwise attribute which does not seem to be helpful here
-- a more suitable lemma is added below
@[reassoc (attr := simp)]
theorem imageToKernel_arrow (w : f ≫ g = 0) :
imageToKernel f g w ≫ (kernelSubobject g).arrow = (imageSubobject f).arrow := by
simp [imageToKernel]
@[simp]
lemma imageToKernel_arrow_apply {FV : V → V → Type*} {CV : V → Type*}
[∀ X Y, FunLike (FV X Y) (CV X) (CV Y)] [ConcreteCategory V FV] (w : f ≫ g = 0)
(x : ToType (Subobject.underlying.obj (imageSubobject f))) :
(kernelSubobject g).arrow (imageToKernel f g w x) =
(imageSubobject f).arrow x := by
rw [← ConcreteCategory.comp_apply, imageToKernel_arrow]
-- This is less useful as a `simp` lemma than it initially appears,
-- as it "loses" the information the morphism factors through the image.
theorem factorThruImageSubobject_comp_imageToKernel (w : f ≫ g = 0) :
factorThruImageSubobject f ≫ imageToKernel f g w = factorThruKernelSubobject g f w := by
ext
simp
end
section
variable {A B C : V} (f : A ⟶ B) (g : B ⟶ C)
@[simp]
theorem imageToKernel_zero_left [HasKernels V] [HasZeroObject V] {w} :
imageToKernel (0 : A ⟶ B) g w = 0 := by
ext
simp
theorem imageToKernel_zero_right [HasImages V] {w} :
imageToKernel f (0 : B ⟶ C) w =
(imageSubobject f).arrow ≫ inv (kernelSubobject (0 : B ⟶ C)).arrow := by
ext
simp
section
variable [HasKernels V] [HasImages V]
|
theorem imageToKernel_comp_right {D : V} (h : C ⟶ D) (w : f ≫ g = 0) :
imageToKernel f (g ≫ h) (by simp [reassoc_of% w]) =
imageToKernel f g w ≫ Subobject.ofLE _ _ (kernelSubobject_comp_le g h) := by
| Mathlib/Algebra/Homology/ImageToKernel.lean | 95 | 98 |
/-
Copyright (c) 2022 Junyan Xu. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Junyan Xu
-/
import Mathlib.Data.DFinsupp.WellFounded
import Mathlib.Data.Finsupp.Lex
/-!
# Well-foundedness of the lexicographic and product orders on `Finsupp`
`Finsupp.Lex.wellFounded` and the two variants that follow it essentially say that if `(· > ·)` is
a well order on `α`, `(· < ·)` is well-founded on `N`, and `0` is a bottom element in `N`, then the
lexicographic `(· < ·)` is well-founded on `α →₀ N`.
`Finsupp.Lex.wellFoundedLT_of_finite` says that if `α` is finite and equipped with a linear order
and `(· < ·)` is well-founded on `N`, then the lexicographic `(· < ·)` is well-founded on `α →₀ N`.
`Finsupp.wellFoundedLT` and `wellFoundedLT_of_finite` state the same results for the product
order `(· < ·)`, but without the ordering conditions on `α`.
All results are transferred from `DFinsupp` via `Finsupp.toDFinsupp`.
-/
variable {α N : Type*}
namespace Finsupp
variable [Zero N] {r : α → α → Prop} {s : N → N → Prop}
/-- Transferred from `DFinsupp.Lex.acc`. See the top of that file for an explanation for the
appearance of the relation `rᶜ ⊓ (≠)`. -/
theorem Lex.acc (hbot : ∀ ⦃n⦄, ¬s n 0) (hs : WellFounded s) (x : α →₀ N)
(h : ∀ a ∈ x.support, Acc (rᶜ ⊓ (· ≠ ·)) a) :
Acc (Finsupp.Lex r s) x := by
| rw [lex_eq_invImage_dfinsupp_lex]
classical
refine InvImage.accessible toDFinsupp (DFinsupp.Lex.acc (fun _ => hbot) (fun _ => hs) _ ?_)
simpa only [toDFinsupp_support] using h
theorem Lex.wellFounded (hbot : ∀ ⦃n⦄, ¬s n 0) (hs : WellFounded s)
| Mathlib/Data/Finsupp/WellFounded.lean | 37 | 42 |
/-
Copyright (c) 2020 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Patrick Massot, Sébastien Gouëzel
-/
import Mathlib.MeasureTheory.Integral.IntervalIntegral.FundThmCalculus
deprecated_module (since := "2025-04-06")
| Mathlib/MeasureTheory/Integral/FundThmCalculus.lean | 944 | 949 | |
/-
Copyright (c) 2022 Joseph Myers. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Joseph Myers, Heather Macbeth
-/
import Mathlib.Analysis.SpecialFunctions.Complex.Circle
import Mathlib.Geometry.Euclidean.Angle.Oriented.Basic
/-!
# Rotations by oriented angles.
This file defines rotations by oriented angles in real inner product spaces.
## Main definitions
* `Orientation.rotation` is the rotation by an oriented angle with respect to an orientation.
-/
noncomputable section
open Module Complex
open scoped Real RealInnerProductSpace ComplexConjugate
namespace Orientation
attribute [local instance] Complex.finrank_real_complex_fact
variable {V V' : Type*}
variable [NormedAddCommGroup V] [NormedAddCommGroup V']
variable [InnerProductSpace ℝ V] [InnerProductSpace ℝ V']
variable [Fact (finrank ℝ V = 2)] [Fact (finrank ℝ V' = 2)] (o : Orientation ℝ V (Fin 2))
local notation "J" => o.rightAngleRotation
/-- Auxiliary construction to build a rotation by the oriented angle `θ`. -/
def rotationAux (θ : Real.Angle) : V →ₗᵢ[ℝ] V :=
LinearMap.isometryOfInner
(Real.Angle.cos θ • LinearMap.id +
Real.Angle.sin θ • (LinearIsometryEquiv.toLinearEquiv J).toLinearMap)
(by
intro x y
simp only [RCLike.conj_to_real, id, LinearMap.smul_apply, LinearMap.add_apply,
LinearMap.id_coe, LinearEquiv.coe_coe, LinearIsometryEquiv.coe_toLinearEquiv,
Orientation.areaForm_rightAngleRotation_left, Orientation.inner_rightAngleRotation_left,
Orientation.inner_rightAngleRotation_right, inner_add_left, inner_smul_left,
inner_add_right, inner_smul_right]
linear_combination inner (𝕜 := ℝ) x y * θ.cos_sq_add_sin_sq)
@[simp]
theorem rotationAux_apply (θ : Real.Angle) (x : V) :
o.rotationAux θ x = Real.Angle.cos θ • x + Real.Angle.sin θ • J x :=
rfl
/-- A rotation by the oriented angle `θ`. -/
def rotation (θ : Real.Angle) : V ≃ₗᵢ[ℝ] V :=
LinearIsometryEquiv.ofLinearIsometry (o.rotationAux θ)
(Real.Angle.cos θ • LinearMap.id -
Real.Angle.sin θ • (LinearIsometryEquiv.toLinearEquiv J).toLinearMap)
(by
ext x
convert congr_arg (fun t : ℝ => t • x) θ.cos_sq_add_sin_sq using 1
· simp only [o.rightAngleRotation_rightAngleRotation, o.rotationAux_apply,
Function.comp_apply, id, LinearEquiv.coe_coe, LinearIsometry.coe_toLinearMap,
LinearIsometryEquiv.coe_toLinearEquiv, map_smul, map_sub, LinearMap.coe_comp,
LinearMap.id_coe, LinearMap.smul_apply, LinearMap.sub_apply]
module
· simp)
(by
ext x
convert congr_arg (fun t : ℝ => t • x) θ.cos_sq_add_sin_sq using 1
· simp only [o.rightAngleRotation_rightAngleRotation, o.rotationAux_apply,
Function.comp_apply, id, LinearEquiv.coe_coe, LinearIsometry.coe_toLinearMap,
LinearIsometryEquiv.coe_toLinearEquiv, map_add, map_smul, LinearMap.coe_comp,
LinearMap.id_coe, LinearMap.smul_apply, LinearMap.sub_apply]
module
· simp)
theorem rotation_apply (θ : Real.Angle) (x : V) :
o.rotation θ x = Real.Angle.cos θ • x + Real.Angle.sin θ • J x :=
rfl
theorem rotation_symm_apply (θ : Real.Angle) (x : V) :
(o.rotation θ).symm x = Real.Angle.cos θ • x - Real.Angle.sin θ • J x :=
rfl
theorem rotation_eq_matrix_toLin (θ : Real.Angle) {x : V} (hx : x ≠ 0) :
(o.rotation θ).toLinearMap =
Matrix.toLin (o.basisRightAngleRotation x hx) (o.basisRightAngleRotation x hx)
!![θ.cos, -θ.sin; θ.sin, θ.cos] := by
apply (o.basisRightAngleRotation x hx).ext
intro i
fin_cases i
· rw [Matrix.toLin_self]
simp [rotation_apply, Fin.sum_univ_succ]
· rw [Matrix.toLin_self]
simp [rotation_apply, Fin.sum_univ_succ, add_comm]
/-- The determinant of `rotation` (as a linear map) is equal to `1`. -/
@[simp]
theorem det_rotation (θ : Real.Angle) : LinearMap.det (o.rotation θ).toLinearMap = 1 := by
haveI : Nontrivial V := nontrivial_of_finrank_eq_succ (@Fact.out (finrank ℝ V = 2) _)
obtain ⟨x, hx⟩ : ∃ x, x ≠ (0 : V) := exists_ne (0 : V)
rw [o.rotation_eq_matrix_toLin θ hx]
simpa [sq] using θ.cos_sq_add_sin_sq
/-- The determinant of `rotation` (as a linear equiv) is equal to `1`. -/
@[simp]
theorem linearEquiv_det_rotation (θ : Real.Angle) :
LinearEquiv.det (o.rotation θ).toLinearEquiv = 1 :=
Units.ext <| by
-- Porting note: Lean can't see through `LinearEquiv.coe_det` and needed the rewrite
-- in mathlib3 this was just `units.ext <| o.det_rotation θ`
simpa only [LinearEquiv.coe_det, Units.val_one] using o.det_rotation θ
/-- The inverse of `rotation` is rotation by the negation of the angle. -/
@[simp]
theorem rotation_symm (θ : Real.Angle) : (o.rotation θ).symm = o.rotation (-θ) := by
ext; simp [o.rotation_apply, o.rotation_symm_apply, sub_eq_add_neg]
/-- Rotation by 0 is the identity. -/
@[simp]
theorem rotation_zero : o.rotation 0 = LinearIsometryEquiv.refl ℝ V := by ext; simp [rotation]
/-- Rotation by π is negation. -/
@[simp]
theorem rotation_pi : o.rotation π = LinearIsometryEquiv.neg ℝ := by
ext x
simp [rotation]
/-- Rotation by π is negation. -/
theorem rotation_pi_apply (x : V) : o.rotation π x = -x := by simp
/-- Rotation by π / 2 is the "right-angle-rotation" map `J`. -/
theorem rotation_pi_div_two : o.rotation (π / 2 : ℝ) = J := by
ext x
simp [rotation]
/-- Rotating twice is equivalent to rotating by the sum of the angles. -/
@[simp]
theorem rotation_rotation (θ₁ θ₂ : Real.Angle) (x : V) :
o.rotation θ₁ (o.rotation θ₂ x) = o.rotation (θ₁ + θ₂) x := by
simp only [o.rotation_apply, Real.Angle.cos_add, Real.Angle.sin_add, LinearIsometryEquiv.map_add,
LinearIsometryEquiv.trans_apply, map_smul, rightAngleRotation_rightAngleRotation]
module
/-- Rotating twice is equivalent to rotating by the sum of the angles. -/
@[simp]
theorem rotation_trans (θ₁ θ₂ : Real.Angle) :
(o.rotation θ₁).trans (o.rotation θ₂) = o.rotation (θ₂ + θ₁) :=
LinearIsometryEquiv.ext fun _ => by rw [← rotation_rotation, LinearIsometryEquiv.trans_apply]
/-- Rotating the first of two vectors by `θ` scales their Kahler form by `cos θ - sin θ * I`. -/
@[simp]
theorem kahler_rotation_left (x y : V) (θ : Real.Angle) :
o.kahler (o.rotation θ x) y = conj (θ.toCircle : ℂ) * o.kahler x y := by
-- Porting note: this needed the `Complex.conj_ofReal` instead of `RCLike.conj_ofReal`;
-- I believe this is because the respective coercions are no longer defeq, and
-- `Real.Angle.coe_toCircle` uses the `Complex` version.
simp only [o.rotation_apply, map_add, map_mul, LinearMap.map_smulₛₗ, RingHom.id_apply,
LinearMap.add_apply, LinearMap.smul_apply, real_smul, kahler_rightAngleRotation_left,
Real.Angle.coe_toCircle, Complex.conj_ofReal, conj_I]
ring
/-- Negating a rotation is equivalent to rotation by π plus the angle. -/
theorem neg_rotation (θ : Real.Angle) (x : V) : -o.rotation θ x = o.rotation (π + θ) x := by
rw [← o.rotation_pi_apply, rotation_rotation]
/-- Negating a rotation by -π / 2 is equivalent to rotation by π / 2. -/
@[simp]
theorem neg_rotation_neg_pi_div_two (x : V) :
-o.rotation (-π / 2 : ℝ) x = o.rotation (π / 2 : ℝ) x := by
rw [neg_rotation, ← Real.Angle.coe_add, neg_div, ← sub_eq_add_neg, sub_half]
/-- Negating a rotation by π / 2 is equivalent to rotation by -π / 2. -/
theorem neg_rotation_pi_div_two (x : V) : -o.rotation (π / 2 : ℝ) x = o.rotation (-π / 2 : ℝ) x :=
(neg_eq_iff_eq_neg.mp <| o.neg_rotation_neg_pi_div_two _).symm
/-- Rotating the first of two vectors by `θ` scales their Kahler form by `cos (-θ) + sin (-θ) * I`.
-/
theorem kahler_rotation_left' (x y : V) (θ : Real.Angle) :
o.kahler (o.rotation θ x) y = (-θ).toCircle * o.kahler x y := by
simp only [Real.Angle.toCircle_neg, Circle.coe_inv_eq_conj, kahler_rotation_left]
/-- Rotating the second of two vectors by `θ` scales their Kahler form by `cos θ + sin θ * I`. -/
@[simp]
theorem kahler_rotation_right (x y : V) (θ : Real.Angle) :
o.kahler x (o.rotation θ y) = θ.toCircle * o.kahler x y := by
simp only [o.rotation_apply, map_add, LinearMap.map_smulₛₗ, RingHom.id_apply, real_smul,
kahler_rightAngleRotation_right, Real.Angle.coe_toCircle]
ring
/-- Rotating the first vector by `θ` subtracts `θ` from the angle between two vectors. -/
@[simp]
theorem oangle_rotation_left {x y : V} (hx : x ≠ 0) (hy : y ≠ 0) (θ : Real.Angle) :
o.oangle (o.rotation θ x) y = o.oangle x y - θ := by
simp only [oangle, o.kahler_rotation_left']
rw [Complex.arg_mul_coe_angle, Real.Angle.arg_toCircle]
· abel
· exact Circle.coe_ne_zero _
· exact o.kahler_ne_zero hx hy
/-- Rotating the second vector by `θ` adds `θ` to the angle between two vectors. -/
@[simp]
theorem oangle_rotation_right {x y : V} (hx : x ≠ 0) (hy : y ≠ 0) (θ : Real.Angle) :
o.oangle x (o.rotation θ y) = o.oangle x y + θ := by
simp only [oangle, o.kahler_rotation_right]
rw [Complex.arg_mul_coe_angle, Real.Angle.arg_toCircle]
· abel
· exact Circle.coe_ne_zero _
· exact o.kahler_ne_zero hx hy
/-- The rotation of a vector by `θ` has an angle of `-θ` from that vector. -/
@[simp]
theorem oangle_rotation_self_left {x : V} (hx : x ≠ 0) (θ : Real.Angle) :
o.oangle (o.rotation θ x) x = -θ := by simp [hx]
/-- A vector has an angle of `θ` from the rotation of that vector by `θ`. -/
@[simp]
theorem oangle_rotation_self_right {x : V} (hx : x ≠ 0) (θ : Real.Angle) :
o.oangle x (o.rotation θ x) = θ := by simp [hx]
/-- Rotating the first vector by the angle between the two vectors results in an angle of 0. -/
@[simp]
theorem oangle_rotation_oangle_left (x y : V) : o.oangle (o.rotation (o.oangle x y) x) y = 0 := by
by_cases hx : x = 0
· simp [hx]
· by_cases hy : y = 0
· simp [hy]
· simp [hx, hy]
/-- Rotating the first vector by the angle between the two vectors and swapping the vectors
results in an angle of 0. -/
@[simp]
| theorem oangle_rotation_oangle_right (x y : V) : o.oangle y (o.rotation (o.oangle x y) x) = 0 := by
rw [oangle_rev]
simp
/-- Rotating both vectors by the same angle does not change the angle between those vectors. -/
@[simp]
theorem oangle_rotation (x y : V) (θ : Real.Angle) :
| Mathlib/Geometry/Euclidean/Angle/Oriented/Rotation.lean | 237 | 243 |
/-
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.Algebra.Group.TypeTags.Basic
import Mathlib.Data.Fin.VecNotation
import Mathlib.Data.Finset.Piecewise
import Mathlib.Order.Filter.Cofinite
import Mathlib.Order.Filter.Curry
import Mathlib.Topology.Constructions.SumProd
import Mathlib.Topology.NhdsSet
/-!
# Constructions of new topological spaces from old ones
This file constructs pi types, subtypes and quotients of topological spaces
and sets up their basic theory, such as criteria for maps into or out of these
constructions to be continuous; descriptions of the open sets, neighborhood filters,
and generators of these constructions; and their behavior with respect to embeddings
and other specific classes of maps.
## Implementation note
The constructed topologies are defined using induced and coinduced topologies
along with the complete lattice structure on topologies. Their universal properties
(for example, a map `X → Y × Z` is continuous if and only if both projections
`X → Y`, `X → Z` are) follow easily using order-theoretic descriptions of
continuity. With more work we can also extract descriptions of the open sets,
neighborhood filters and so on.
## Tags
product, subspace, quotient space
-/
noncomputable section
open Topology TopologicalSpace Set Filter Function
open scoped Set.Notation
universe u v u' v'
variable {X : Type u} {Y : Type v} {Z W ε ζ : Type*}
section Constructions
instance {r : X → X → Prop} [t : TopologicalSpace X] : TopologicalSpace (Quot r) :=
coinduced (Quot.mk r) t
instance instTopologicalSpaceQuotient {s : Setoid X} [t : TopologicalSpace X] :
TopologicalSpace (Quotient s) :=
coinduced Quotient.mk' t
instance instTopologicalSpaceSigma {ι : Type*} {X : ι → Type v} [t₂ : ∀ i, TopologicalSpace (X i)] :
TopologicalSpace (Sigma X) :=
⨆ i, coinduced (Sigma.mk i) (t₂ i)
instance Pi.topologicalSpace {ι : Type*} {Y : ι → Type v} [t₂ : (i : ι) → TopologicalSpace (Y i)] :
TopologicalSpace ((i : ι) → Y i) :=
⨅ i, induced (fun f => f i) (t₂ i)
instance ULift.topologicalSpace [t : TopologicalSpace X] : TopologicalSpace (ULift.{v, u} X) :=
t.induced ULift.down
/-!
### `Additive`, `Multiplicative`
The topology on those type synonyms is inherited without change.
-/
section
variable [TopologicalSpace X]
open Additive Multiplicative
instance : TopologicalSpace (Additive X) := ‹TopologicalSpace X›
instance : TopologicalSpace (Multiplicative X) := ‹TopologicalSpace X›
instance [DiscreteTopology X] : DiscreteTopology (Additive X) := ‹DiscreteTopology X›
instance [DiscreteTopology X] : DiscreteTopology (Multiplicative X) := ‹DiscreteTopology X›
theorem continuous_ofMul : Continuous (ofMul : X → Additive X) := continuous_id
theorem continuous_toMul : Continuous (toMul : Additive X → X) := continuous_id
theorem continuous_ofAdd : Continuous (ofAdd : X → Multiplicative X) := continuous_id
theorem continuous_toAdd : Continuous (toAdd : Multiplicative X → X) := continuous_id
theorem isOpenMap_ofMul : IsOpenMap (ofMul : X → Additive X) := IsOpenMap.id
theorem isOpenMap_toMul : IsOpenMap (toMul : Additive X → X) := IsOpenMap.id
theorem isOpenMap_ofAdd : IsOpenMap (ofAdd : X → Multiplicative X) := IsOpenMap.id
theorem isOpenMap_toAdd : IsOpenMap (toAdd : Multiplicative X → X) := IsOpenMap.id
theorem isClosedMap_ofMul : IsClosedMap (ofMul : X → Additive X) := IsClosedMap.id
theorem isClosedMap_toMul : IsClosedMap (toMul : Additive X → X) := IsClosedMap.id
theorem isClosedMap_ofAdd : IsClosedMap (ofAdd : X → Multiplicative X) := IsClosedMap.id
theorem isClosedMap_toAdd : IsClosedMap (toAdd : Multiplicative X → X) := IsClosedMap.id
theorem nhds_ofMul (x : X) : 𝓝 (ofMul x) = map ofMul (𝓝 x) := rfl
theorem nhds_ofAdd (x : X) : 𝓝 (ofAdd x) = map ofAdd (𝓝 x) := rfl
theorem nhds_toMul (x : Additive X) : 𝓝 x.toMul = map toMul (𝓝 x) := rfl
theorem nhds_toAdd (x : Multiplicative X) : 𝓝 x.toAdd = map toAdd (𝓝 x) := rfl
end
/-!
### Order dual
The topology on this type synonym is inherited without change.
-/
section
variable [TopologicalSpace X]
open OrderDual
instance OrderDual.instTopologicalSpace : TopologicalSpace Xᵒᵈ := ‹_›
instance OrderDual.instDiscreteTopology [DiscreteTopology X] : DiscreteTopology Xᵒᵈ := ‹_›
theorem continuous_toDual : Continuous (toDual : X → Xᵒᵈ) := continuous_id
theorem continuous_ofDual : Continuous (ofDual : Xᵒᵈ → X) := continuous_id
theorem isOpenMap_toDual : IsOpenMap (toDual : X → Xᵒᵈ) := IsOpenMap.id
theorem isOpenMap_ofDual : IsOpenMap (ofDual : Xᵒᵈ → X) := IsOpenMap.id
theorem isClosedMap_toDual : IsClosedMap (toDual : X → Xᵒᵈ) := IsClosedMap.id
theorem isClosedMap_ofDual : IsClosedMap (ofDual : Xᵒᵈ → X) := IsClosedMap.id
theorem nhds_toDual (x : X) : 𝓝 (toDual x) = map toDual (𝓝 x) := rfl
theorem nhds_ofDual (x : X) : 𝓝 (ofDual x) = map ofDual (𝓝 x) := rfl
variable [Preorder X] {x : X}
instance OrderDual.instNeBotNhdsWithinIoi [(𝓝[<] x).NeBot] : (𝓝[>] toDual x).NeBot := ‹_›
instance OrderDual.instNeBotNhdsWithinIio [(𝓝[>] x).NeBot] : (𝓝[<] toDual x).NeBot := ‹_›
end
theorem Quotient.preimage_mem_nhds [TopologicalSpace X] [s : Setoid X] {V : Set <| Quotient s}
{x : X} (hs : V ∈ 𝓝 (Quotient.mk' x)) : Quotient.mk' ⁻¹' V ∈ 𝓝 x :=
preimage_nhds_coinduced hs
/-- The image of a dense set under `Quotient.mk'` is a dense set. -/
theorem Dense.quotient [Setoid X] [TopologicalSpace X] {s : Set X} (H : Dense s) :
Dense (Quotient.mk' '' s) :=
Quotient.mk''_surjective.denseRange.dense_image continuous_coinduced_rng H
/-- The composition of `Quotient.mk'` and a function with dense range has dense range. -/
theorem DenseRange.quotient [Setoid X] [TopologicalSpace X] {f : Y → X} (hf : DenseRange f) :
DenseRange (Quotient.mk' ∘ f) :=
Quotient.mk''_surjective.denseRange.comp hf continuous_coinduced_rng
theorem continuous_map_of_le {α : Type*} [TopologicalSpace α]
{s t : Setoid α} (h : s ≤ t) : Continuous (Setoid.map_of_le h) :=
continuous_coinduced_rng
theorem continuous_map_sInf {α : Type*} [TopologicalSpace α]
{S : Set (Setoid α)} {s : Setoid α} (h : s ∈ S) : Continuous (Setoid.map_sInf h) :=
continuous_coinduced_rng
instance {p : X → Prop} [TopologicalSpace X] [DiscreteTopology X] : DiscreteTopology (Subtype p) :=
⟨bot_unique fun s _ => ⟨(↑) '' s, isOpen_discrete _, preimage_image_eq _ Subtype.val_injective⟩⟩
instance Sum.discreteTopology [TopologicalSpace X] [TopologicalSpace Y] [h : DiscreteTopology X]
[hY : DiscreteTopology Y] : DiscreteTopology (X ⊕ Y) :=
⟨sup_eq_bot_iff.2 <| by simp [h.eq_bot, hY.eq_bot]⟩
instance Sigma.discreteTopology {ι : Type*} {Y : ι → Type v} [∀ i, TopologicalSpace (Y i)]
[h : ∀ i, DiscreteTopology (Y i)] : DiscreteTopology (Sigma Y) :=
⟨iSup_eq_bot.2 fun _ => by simp only [(h _).eq_bot, coinduced_bot]⟩
@[simp] lemma comap_nhdsWithin_range {α β} [TopologicalSpace β] (f : α → β) (y : β) :
comap f (𝓝[range f] y) = comap f (𝓝 y) := comap_inf_principal_range
section Top
variable [TopologicalSpace X]
/-
The 𝓝 filter and the subspace topology.
-/
theorem mem_nhds_subtype (s : Set X) (x : { x // x ∈ s }) (t : Set { x // x ∈ s }) :
t ∈ 𝓝 x ↔ ∃ u ∈ 𝓝 (x : X), Subtype.val ⁻¹' u ⊆ t :=
mem_nhds_induced _ x t
theorem nhds_subtype (s : Set X) (x : { x // x ∈ s }) : 𝓝 x = comap (↑) (𝓝 (x : X)) :=
nhds_induced _ x
lemma nhds_subtype_eq_comap_nhdsWithin (s : Set X) (x : { x // x ∈ s }) :
𝓝 x = comap (↑) (𝓝[s] (x : X)) := by
rw [nhds_subtype, ← comap_nhdsWithin_range, Subtype.range_val]
theorem nhdsWithin_subtype_eq_bot_iff {s t : Set X} {x : s} :
𝓝[((↑) : s → X) ⁻¹' t] x = ⊥ ↔ 𝓝[t] (x : X) ⊓ 𝓟 s = ⊥ := by
rw [inf_principal_eq_bot_iff_comap, nhdsWithin, nhdsWithin, comap_inf, comap_principal,
nhds_induced]
theorem nhds_ne_subtype_eq_bot_iff {S : Set X} {x : S} :
𝓝[≠] x = ⊥ ↔ 𝓝[≠] (x : X) ⊓ 𝓟 S = ⊥ := by
rw [← nhdsWithin_subtype_eq_bot_iff, preimage_compl, ← image_singleton,
Subtype.coe_injective.preimage_image]
theorem nhds_ne_subtype_neBot_iff {S : Set X} {x : S} :
(𝓝[≠] x).NeBot ↔ (𝓝[≠] (x : X) ⊓ 𝓟 S).NeBot := by
rw [neBot_iff, neBot_iff, not_iff_not, nhds_ne_subtype_eq_bot_iff]
theorem discreteTopology_subtype_iff {S : Set X} :
DiscreteTopology S ↔ ∀ x ∈ S, 𝓝[≠] x ⊓ 𝓟 S = ⊥ := by
simp_rw [discreteTopology_iff_nhds_ne, SetCoe.forall', nhds_ne_subtype_eq_bot_iff]
end Top
/-- A type synonym equipped with the topology whose open sets are the empty set and the sets with
finite complements. -/
def CofiniteTopology (X : Type*) := X
namespace CofiniteTopology
/-- The identity equivalence between `` and `CofiniteTopology `. -/
def of : X ≃ CofiniteTopology X :=
Equiv.refl X
instance [Inhabited X] : Inhabited (CofiniteTopology X) where default := of default
instance : TopologicalSpace (CofiniteTopology X) where
IsOpen s := s.Nonempty → Set.Finite sᶜ
isOpen_univ := by simp
isOpen_inter s t := by
rintro hs ht ⟨x, hxs, hxt⟩
rw [compl_inter]
exact (hs ⟨x, hxs⟩).union (ht ⟨x, hxt⟩)
isOpen_sUnion := by
rintro s h ⟨x, t, hts, hzt⟩
rw [compl_sUnion]
exact Finite.sInter (mem_image_of_mem _ hts) (h t hts ⟨x, hzt⟩)
theorem isOpen_iff {s : Set (CofiniteTopology X)} : IsOpen s ↔ s.Nonempty → sᶜ.Finite :=
Iff.rfl
theorem isOpen_iff' {s : Set (CofiniteTopology X)} : IsOpen s ↔ s = ∅ ∨ sᶜ.Finite := by
simp only [isOpen_iff, nonempty_iff_ne_empty, or_iff_not_imp_left]
theorem isClosed_iff {s : Set (CofiniteTopology X)} : IsClosed s ↔ s = univ ∨ s.Finite := by
simp only [← isOpen_compl_iff, isOpen_iff', compl_compl, compl_empty_iff]
theorem nhds_eq (x : CofiniteTopology X) : 𝓝 x = pure x ⊔ cofinite := by
ext U
rw [mem_nhds_iff]
constructor
· rintro ⟨V, hVU, V_op, haV⟩
exact mem_sup.mpr ⟨hVU haV, mem_of_superset (V_op ⟨_, haV⟩) hVU⟩
· rintro ⟨hU : x ∈ U, hU' : Uᶜ.Finite⟩
exact ⟨U, Subset.rfl, fun _ => hU', hU⟩
theorem mem_nhds_iff {x : CofiniteTopology X} {s : Set (CofiniteTopology X)} :
s ∈ 𝓝 x ↔ x ∈ s ∧ sᶜ.Finite := by simp [nhds_eq]
end CofiniteTopology
end Constructions
section Prod
variable [TopologicalSpace X] [TopologicalSpace Y]
theorem MapClusterPt.curry_prodMap {α β : Type*}
{f : α → X} {g : β → Y} {la : Filter α} {lb : Filter β} {x : X} {y : Y}
(hf : MapClusterPt x la f) (hg : MapClusterPt y lb g) :
MapClusterPt (x, y) (la.curry lb) (.map f g) := by
rw [mapClusterPt_iff_frequently] at hf hg
rw [((𝓝 x).basis_sets.prod_nhds (𝓝 y).basis_sets).mapClusterPt_iff_frequently]
rintro ⟨s, t⟩ ⟨hs, ht⟩
rw [frequently_curry_iff]
exact (hf s hs).mono fun x hx ↦ (hg t ht).mono fun y hy ↦ ⟨hx, hy⟩
theorem MapClusterPt.prodMap {α β : Type*}
{f : α → X} {g : β → Y} {la : Filter α} {lb : Filter β} {x : X} {y : Y}
(hf : MapClusterPt x la f) (hg : MapClusterPt y lb g) :
MapClusterPt (x, y) (la ×ˢ lb) (.map f g) :=
(hf.curry_prodMap hg).mono <| map_mono curry_le_prod
end Prod
section Bool
lemma continuous_bool_rng [TopologicalSpace X] {f : X → Bool} (b : Bool) :
Continuous f ↔ IsClopen (f ⁻¹' {b}) := by
| rw [continuous_discrete_rng, Bool.forall_bool' b, IsClopen, ← isOpen_compl_iff, ← preimage_compl,
Bool.compl_singleton, and_comm]
end Bool
section Subtype
variable [TopologicalSpace X] [TopologicalSpace Y] {p : X → Prop}
| Mathlib/Topology/Constructions.lean | 307 | 314 |
/-
Copyright (c) 2017 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro, Floris van Doorn, Violeta Hernández Palacios
-/
import Mathlib.SetTheory.Ordinal.Family
/-! # Ordinal exponential
In this file we define the power function and the logarithm function on ordinals. The two are
related by the lemma `Ordinal.opow_le_iff_le_log : b ^ c ≤ x ↔ c ≤ log b x` for nontrivial inputs
`b`, `c`.
-/
noncomputable section
open Function Set Equiv Order
open scoped Cardinal Ordinal
universe u v w
namespace Ordinal
/-- The ordinal exponential, defined by transfinite recursion.
We call this `opow` in theorems in order to disambiguate from other exponentials. -/
instance instPow : Pow Ordinal Ordinal :=
⟨fun a b ↦ if a = 0 then 1 - b else
limitRecOn b 1 (fun _ x ↦ x * a) fun o _ f ↦ ⨆ x : Iio o, f x.1 x.2⟩
private theorem opow_of_ne_zero {a b : Ordinal} (h : a ≠ 0) : a ^ b =
limitRecOn b 1 (fun _ x ↦ x * a) fun o _ f ↦ ⨆ x : Iio o, f x.1 x.2 :=
if_neg h
/-- `0 ^ a = 1` if `a = 0` and `0 ^ a = 0` otherwise. -/
theorem zero_opow' (a : Ordinal) : 0 ^ a = 1 - a :=
if_pos rfl
theorem zero_opow_le (a : Ordinal) : (0 : Ordinal) ^ a ≤ 1 := by
rw [zero_opow']
exact sub_le_self 1 a
@[simp]
theorem zero_opow {a : Ordinal} (a0 : a ≠ 0) : (0 : Ordinal) ^ a = 0 := by
rwa [zero_opow', Ordinal.sub_eq_zero_iff_le, one_le_iff_ne_zero]
@[simp]
theorem opow_zero (a : Ordinal) : a ^ (0 : Ordinal) = 1 := by
obtain rfl | h := eq_or_ne a 0
· rw [zero_opow', Ordinal.sub_zero]
· rw [opow_of_ne_zero h, limitRecOn_zero]
@[simp]
theorem opow_succ (a b : Ordinal) : a ^ succ b = a ^ b * a := by
obtain rfl | h := eq_or_ne a 0
· rw [zero_opow (succ_ne_zero b), mul_zero]
· rw [opow_of_ne_zero h, opow_of_ne_zero h, limitRecOn_succ]
theorem opow_limit {a b : Ordinal} (ha : a ≠ 0) (hb : IsLimit b) :
a ^ b = ⨆ x : Iio b, a ^ x.1 := by
simp_rw [opow_of_ne_zero ha, limitRecOn_limit _ _ _ _ hb]
theorem opow_le_of_limit {a b c : Ordinal} (a0 : a ≠ 0) (h : IsLimit b) :
a ^ b ≤ c ↔ ∀ b' < b, a ^ b' ≤ c := by
rw [opow_limit a0 h, Ordinal.iSup_le_iff, Subtype.forall]
rfl
theorem lt_opow_of_limit {a b c : Ordinal} (b0 : b ≠ 0) (h : IsLimit c) :
a < b ^ c ↔ ∃ c' < c, a < b ^ c' := by
rw [← not_iff_not, not_exists]
simp only [not_lt, opow_le_of_limit b0 h, exists_prop, not_and]
@[simp]
theorem opow_one (a : Ordinal) : a ^ (1 : Ordinal) = a := by
rw [← succ_zero, opow_succ]
simp only [opow_zero, one_mul]
| @[simp]
theorem one_opow (a : Ordinal) : (1 : Ordinal) ^ a = 1 := by
| Mathlib/SetTheory/Ordinal/Exponential.lean | 78 | 79 |
/-
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.Data.Set.Lattice
import Mathlib.Data.SetLike.Basic
import Mathlib.Order.ModularLattice
import Mathlib.Order.SuccPred.Basic
import Mathlib.Order.WellFounded
import Mathlib.Tactic.Nontriviality
import Mathlib.Order.ConditionallyCompleteLattice.Indexed
/-!
# Atoms, Coatoms, and Simple Lattices
This module defines atoms, which are minimal non-`⊥` elements in bounded lattices, simple lattices,
which are lattices with only two elements, and related ideas.
## Main definitions
### Atoms and Coatoms
* `IsAtom a` indicates that the only element below `a` is `⊥`.
* `IsCoatom a` indicates that the only element above `a` is `⊤`.
### Atomic and Atomistic Lattices
* `IsAtomic` indicates that every element other than `⊥` is above an atom.
* `IsCoatomic` indicates that every element other than `⊤` is below a coatom.
* `IsAtomistic` indicates that every element is the `sSup` of a set of atoms.
* `IsCoatomistic` indicates that every element is the `sInf` of a set of coatoms.
* `IsStronglyAtomic` indicates that for all `a < b`, there is some `x` with `a ⋖ x ≤ b`.
* `IsStronglyCoatomic` indicates that for all `a < b`, there is some `x` with `a ≤ x ⋖ b`.
### Simple Lattices
* `IsSimpleOrder` indicates that an order has only two unique elements, `⊥` and `⊤`.
* `IsSimpleOrder.boundedOrder`
* `IsSimpleOrder.distribLattice`
* Given an instance of `IsSimpleOrder`, we provide the following definitions. These are not
made global instances as they contain data :
* `IsSimpleOrder.booleanAlgebra`
* `IsSimpleOrder.completeLattice`
* `IsSimpleOrder.completeBooleanAlgebra`
## Main results
* `isAtom_dual_iff_isCoatom` and `isCoatom_dual_iff_isAtom` express the (definitional) duality
of `IsAtom` and `IsCoatom`.
* `isSimpleOrder_iff_isAtom_top` and `isSimpleOrder_iff_isCoatom_bot` express the
connection between atoms, coatoms, and simple lattices
* `IsCompl.isAtom_iff_isCoatom` and `IsCompl.isCoatom_if_isAtom`: In a modular
bounded lattice, a complement of an atom is a coatom and vice versa.
* `isAtomic_iff_isCoatomic`: A modular complemented lattice is atomic iff it is coatomic.
-/
variable {ι : Sort*} {α β : Type*}
section Atoms
section IsAtom
section Preorder
variable [Preorder α] [OrderBot α] {a b x : α}
/-- An atom of an `OrderBot` is an element with no other element between it and `⊥`,
which is not `⊥`. -/
def IsAtom (a : α) : Prop :=
a ≠ ⊥ ∧ ∀ b, b < a → b = ⊥
theorem IsAtom.Iic (ha : IsAtom a) (hax : a ≤ x) : IsAtom (⟨a, hax⟩ : Set.Iic x) :=
⟨fun con => ha.1 (Subtype.mk_eq_mk.1 con), fun ⟨b, _⟩ hba => Subtype.mk_eq_mk.2 (ha.2 b hba)⟩
theorem IsAtom.of_isAtom_coe_Iic {a : Set.Iic x} (ha : IsAtom a) : IsAtom (a : α) :=
⟨fun con => ha.1 (Subtype.ext con), fun b hba =>
Subtype.mk_eq_mk.1 (ha.2 ⟨b, hba.le.trans a.prop⟩ hba)⟩
theorem isAtom_iff_le_of_ge : IsAtom a ↔ a ≠ ⊥ ∧ ∀ b ≠ ⊥, b ≤ a → a ≤ b :=
and_congr Iff.rfl <|
forall_congr' fun b => by
simp only [Ne, @not_imp_comm (b = ⊥), Classical.not_imp, lt_iff_le_not_le]
end Preorder
section PartialOrder
variable [PartialOrder α] [OrderBot α] {a b x : α}
theorem IsAtom.lt_iff (h : IsAtom a) : x < a ↔ x = ⊥ :=
⟨h.2 x, fun hx => hx.symm ▸ h.1.bot_lt⟩
theorem IsAtom.le_iff (h : IsAtom a) : x ≤ a ↔ x = ⊥ ∨ x = a := by rw [le_iff_lt_or_eq, h.lt_iff]
lemma IsAtom.bot_lt (h : IsAtom a) : ⊥ < a :=
h.lt_iff.mpr rfl
lemma IsAtom.le_iff_eq (ha : IsAtom a) (hb : b ≠ ⊥) : b ≤ a ↔ b = a :=
ha.le_iff.trans <| or_iff_right hb
theorem IsAtom.Iic_eq (h : IsAtom a) : Set.Iic a = {⊥, a} :=
Set.ext fun _ => h.le_iff
@[simp]
theorem bot_covBy_iff : ⊥ ⋖ a ↔ IsAtom a := by
simp only [CovBy, bot_lt_iff_ne_bot, IsAtom, not_imp_not]
alias ⟨CovBy.is_atom, IsAtom.bot_covBy⟩ := bot_covBy_iff
end PartialOrder
theorem atom_le_iSup [Order.Frame α] {a : α} (ha : IsAtom a) {f : ι → α} :
a ≤ iSup f ↔ ∃ i, a ≤ f i := by
refine ⟨?_, fun ⟨i, hi⟩ => le_trans hi (le_iSup _ _)⟩
show (a ≤ ⨆ i, f i) → _
refine fun h => of_not_not fun ha' => ?_
push_neg at ha'
have ha'' : Disjoint a (⨆ i, f i) :=
disjoint_iSup_iff.2 fun i => fun x hxa hxf => le_bot_iff.2 <| of_not_not fun hx =>
have hxa : x < a := (le_iff_eq_or_lt.1 hxa).resolve_left (by rintro rfl; exact ha' _ hxf)
hx (ha.2 _ hxa)
obtain rfl := le_bot_iff.1 (ha'' le_rfl h)
exact ha.1 rfl
end IsAtom
section IsCoatom
section Preorder
variable [Preorder α]
/-- A coatom of an `OrderTop` is an element with no other element between it and `⊤`,
which is not `⊤`. -/
def IsCoatom [OrderTop α] (a : α) : Prop :=
a ≠ ⊤ ∧ ∀ b, a < b → b = ⊤
@[simp]
theorem isCoatom_dual_iff_isAtom [OrderBot α] {a : α} :
IsCoatom (OrderDual.toDual a) ↔ IsAtom a :=
Iff.rfl
@[simp]
theorem isAtom_dual_iff_isCoatom [OrderTop α] {a : α} :
IsAtom (OrderDual.toDual a) ↔ IsCoatom a :=
Iff.rfl
alias ⟨_, IsAtom.dual⟩ := isCoatom_dual_iff_isAtom
alias ⟨_, IsCoatom.dual⟩ := isAtom_dual_iff_isCoatom
variable [OrderTop α] {a x : α}
theorem IsCoatom.Ici (ha : IsCoatom a) (hax : x ≤ a) : IsCoatom (⟨a, hax⟩ : Set.Ici x) :=
ha.dual.Iic hax
theorem IsCoatom.of_isCoatom_coe_Ici {a : Set.Ici x} (ha : IsCoatom a) : IsCoatom (a : α) :=
@IsAtom.of_isAtom_coe_Iic αᵒᵈ _ _ x a ha
theorem isCoatom_iff_ge_of_le : IsCoatom a ↔ a ≠ ⊤ ∧ ∀ b ≠ ⊤, a ≤ b → b ≤ a :=
isAtom_iff_le_of_ge (α := αᵒᵈ)
end Preorder
section PartialOrder
variable [PartialOrder α] [OrderTop α] {a b x : α}
theorem IsCoatom.lt_iff (h : IsCoatom a) : a < x ↔ x = ⊤ :=
h.dual.lt_iff
theorem IsCoatom.le_iff (h : IsCoatom a) : a ≤ x ↔ x = ⊤ ∨ x = a :=
h.dual.le_iff
lemma IsCoatom.lt_top (h : IsCoatom a) : a < ⊤ :=
h.lt_iff.mpr rfl
lemma IsCoatom.le_iff_eq (ha : IsCoatom a) (hb : b ≠ ⊤) : a ≤ b ↔ b = a := ha.dual.le_iff_eq hb
theorem IsCoatom.Ici_eq (h : IsCoatom a) : Set.Ici a = {⊤, a} :=
h.dual.Iic_eq
@[simp]
theorem covBy_top_iff : a ⋖ ⊤ ↔ IsCoatom a :=
toDual_covBy_toDual_iff.symm.trans bot_covBy_iff
alias ⟨CovBy.isCoatom, IsCoatom.covBy_top⟩ := covBy_top_iff
namespace SetLike
variable {A B : Type*} [SetLike A B]
theorem isAtom_iff [OrderBot A] {K : A} :
IsAtom K ↔ K ≠ ⊥ ∧ ∀ H g, H ≤ K → g ∉ H → g ∈ K → H = ⊥ := by
simp_rw [IsAtom, lt_iff_le_not_le, SetLike.not_le_iff_exists,
and_comm (a := _ ≤ _), and_imp, exists_imp, ← and_imp, and_comm]
theorem isCoatom_iff [OrderTop A] {K : A} :
IsCoatom K ↔ K ≠ ⊤ ∧ ∀ H g, K ≤ H → g ∉ K → g ∈ H → H = ⊤ := by
simp_rw [IsCoatom, lt_iff_le_not_le, SetLike.not_le_iff_exists,
and_comm (a := _ ≤ _), and_imp, exists_imp, ← and_imp, and_comm]
theorem covBy_iff {K L : A} :
K ⋖ L ↔ K < L ∧ ∀ H g, K ≤ H → H ≤ L → g ∉ K → g ∈ H → H = L := by
refine and_congr_right fun _ ↦ forall_congr' fun H ↦ not_iff_not.mp ?_
push_neg
rw [lt_iff_le_not_le, lt_iff_le_and_ne, and_and_and_comm]
simp_rw [exists_and_left, and_assoc, and_congr_right_iff, ← and_assoc, and_comm, exists_and_left,
SetLike.not_le_iff_exists, and_comm, implies_true]
/-- Dual variant of `SetLike.covBy_iff` -/
theorem covBy_iff' {K L : A} :
K ⋖ L ↔ K < L ∧ ∀ H g, K ≤ H → H ≤ L → g ∉ H → g ∈ L → H = K := by
refine and_congr_right fun _ ↦ forall_congr' fun H ↦ not_iff_not.mp ?_
push_neg
rw [lt_iff_le_and_ne, lt_iff_le_not_le, and_and_and_comm]
simp_rw [exists_and_left, and_assoc, and_congr_right_iff, ← and_assoc, and_comm, exists_and_left,
SetLike.not_le_iff_exists, ne_comm, implies_true]
end SetLike
end PartialOrder
theorem iInf_le_coatom [Order.Coframe α] {a : α} (ha : IsCoatom a) {f : ι → α} :
iInf f ≤ a ↔ ∃ i, f i ≤ a :=
atom_le_iSup (α := αᵒᵈ) ha
end IsCoatom
section PartialOrder
variable [PartialOrder α] {a b : α}
@[simp]
theorem Set.Ici.isAtom_iff {b : Set.Ici a} : IsAtom b ↔ a ⋖ b := by
rw [← bot_covBy_iff]
refine (Set.OrdConnected.apply_covBy_apply_iff (OrderEmbedding.subtype fun c => a ≤ c) ?_).symm
simpa only [OrderEmbedding.coe_subtype, Subtype.range_coe_subtype] using Set.ordConnected_Ici
@[simp]
theorem Set.Iic.isCoatom_iff {a : Set.Iic b} : IsCoatom a ↔ ↑a ⋖ b := by
rw [← covBy_top_iff]
refine (Set.OrdConnected.apply_covBy_apply_iff (OrderEmbedding.subtype fun c => c ≤ b) ?_).symm
simpa only [OrderEmbedding.coe_subtype, Subtype.range_coe_subtype] using Set.ordConnected_Iic
theorem covBy_iff_atom_Ici (h : a ≤ b) : a ⋖ b ↔ IsAtom (⟨b, h⟩ : Set.Ici a) := by simp
theorem covBy_iff_coatom_Iic (h : a ≤ b) : a ⋖ b ↔ IsCoatom (⟨a, h⟩ : Set.Iic b) := by simp
end PartialOrder
section Pairwise
theorem IsAtom.inf_eq_bot_of_ne [SemilatticeInf α] [OrderBot α] {a b : α} (ha : IsAtom a)
(hb : IsAtom b) (hab : a ≠ b) : a ⊓ b = ⊥ :=
hab.not_le_or_not_le.elim (ha.lt_iff.1 ∘ inf_lt_left.2) (hb.lt_iff.1 ∘ inf_lt_right.2)
theorem IsAtom.disjoint_of_ne [SemilatticeInf α] [OrderBot α] {a b : α} (ha : IsAtom a)
(hb : IsAtom b) (hab : a ≠ b) : Disjoint a b :=
disjoint_iff.mpr (ha.inf_eq_bot_of_ne hb hab)
theorem IsCoatom.sup_eq_top_of_ne [SemilatticeSup α] [OrderTop α] {a b : α} (ha : IsCoatom a)
(hb : IsCoatom b) (hab : a ≠ b) : a ⊔ b = ⊤ :=
ha.dual.inf_eq_bot_of_ne hb.dual hab
theorem IsCoatom.codisjoint_of_ne [SemilatticeSup α] [OrderTop α] {a b : α} (ha : IsCoatom a)
(hb : IsCoatom b) (hab : a ≠ b) : Codisjoint a b :=
codisjoint_iff.mpr (ha.sup_eq_top_of_ne hb hab)
end Pairwise
end Atoms
section Atomic
variable [PartialOrder α] (α)
/-- A lattice is atomic iff every element other than `⊥` has an atom below it. -/
@[mk_iff]
class IsAtomic [OrderBot α] : Prop where
/-- Every element other than `⊥` has an atom below it. -/
eq_bot_or_exists_atom_le : ∀ b : α, b = ⊥ ∨ ∃ a : α, IsAtom a ∧ a ≤ b
/-- A lattice is coatomic iff every element other than `⊤` has a coatom above it. -/
@[mk_iff]
class IsCoatomic [OrderTop α] : Prop where
/-- Every element other than `⊤` has an atom above it. -/
eq_top_or_exists_le_coatom : ∀ b : α, b = ⊤ ∨ ∃ a : α, IsCoatom a ∧ b ≤ a
export IsAtomic (eq_bot_or_exists_atom_le)
export IsCoatomic (eq_top_or_exists_le_coatom)
lemma IsAtomic.exists_atom [OrderBot α] [Nontrivial α] [IsAtomic α] : ∃ a : α, IsAtom a :=
have ⟨b, hb⟩ := exists_ne (⊥ : α)
have ⟨a, ha⟩ := (eq_bot_or_exists_atom_le b).resolve_left hb
⟨a, ha.1⟩
lemma IsCoatomic.exists_coatom [OrderTop α] [Nontrivial α] [IsCoatomic α] : ∃ a : α, IsCoatom a :=
have ⟨b, hb⟩ := exists_ne (⊤ : α)
have ⟨a, ha⟩ := (eq_top_or_exists_le_coatom b).resolve_left hb
⟨a, ha.1⟩
variable {α}
@[simp]
theorem isCoatomic_dual_iff_isAtomic [OrderBot α] : IsCoatomic αᵒᵈ ↔ IsAtomic α :=
⟨fun h => ⟨fun b => by apply h.eq_top_or_exists_le_coatom⟩, fun h =>
⟨fun b => by apply h.eq_bot_or_exists_atom_le⟩⟩
@[simp]
theorem isAtomic_dual_iff_isCoatomic [OrderTop α] : IsAtomic αᵒᵈ ↔ IsCoatomic α :=
⟨fun h => ⟨fun b => by apply h.eq_bot_or_exists_atom_le⟩, fun h =>
⟨fun b => by apply h.eq_top_or_exists_le_coatom⟩⟩
namespace IsAtomic
variable [OrderBot α] [IsAtomic α]
instance _root_.OrderDual.instIsCoatomic : IsCoatomic αᵒᵈ :=
isCoatomic_dual_iff_isAtomic.2 ‹IsAtomic α›
instance Set.Iic.isAtomic {x : α} : IsAtomic (Set.Iic x) :=
⟨fun ⟨y, hy⟩ =>
(eq_bot_or_exists_atom_le y).imp Subtype.mk_eq_mk.2 fun ⟨a, ha, hay⟩ =>
⟨⟨a, hay.trans hy⟩, ha.Iic (hay.trans hy), hay⟩⟩
end IsAtomic
namespace IsCoatomic
variable [OrderTop α] [IsCoatomic α]
instance _root_.OrderDual.instIsAtomic : IsAtomic αᵒᵈ :=
isAtomic_dual_iff_isCoatomic.2 ‹IsCoatomic α›
instance Set.Ici.isCoatomic {x : α} : IsCoatomic (Set.Ici x) :=
⟨fun ⟨y, hy⟩ =>
(eq_top_or_exists_le_coatom y).imp Subtype.mk_eq_mk.2 fun ⟨a, ha, hay⟩ =>
⟨⟨a, le_trans hy hay⟩, ha.Ici (le_trans hy hay), hay⟩⟩
end IsCoatomic
theorem isAtomic_iff_forall_isAtomic_Iic [OrderBot α] :
IsAtomic α ↔ ∀ x : α, IsAtomic (Set.Iic x) :=
⟨@IsAtomic.Set.Iic.isAtomic _ _ _, fun h =>
⟨fun x =>
((@eq_bot_or_exists_atom_le _ _ _ (h x)) (⊤ : Set.Iic x)).imp Subtype.mk_eq_mk.1
(Exists.imp' (↑) fun ⟨_, _⟩ => And.imp_left IsAtom.of_isAtom_coe_Iic)⟩⟩
theorem isCoatomic_iff_forall_isCoatomic_Ici [OrderTop α] :
IsCoatomic α ↔ ∀ x : α, IsCoatomic (Set.Ici x) :=
isAtomic_dual_iff_isCoatomic.symm.trans <|
isAtomic_iff_forall_isAtomic_Iic.trans <|
forall_congr' fun _ => isCoatomic_dual_iff_isAtomic.symm.trans Iff.rfl
section StronglyAtomic
variable {α : Type*} {a b : α} [Preorder α]
/-- An order is strongly atomic if every nontrivial interval `[a, b]`
contains an element covering `a`. -/
@[mk_iff]
class IsStronglyAtomic (α : Type*) [Preorder α] : Prop where
exists_covBy_le_of_lt : ∀ (a b : α), a < b → ∃ x, a ⋖ x ∧ x ≤ b
theorem exists_covBy_le_of_lt [IsStronglyAtomic α] (h : a < b) : ∃ x, a ⋖ x ∧ x ≤ b :=
IsStronglyAtomic.exists_covBy_le_of_lt a b h
alias LT.lt.exists_covby_le := exists_covBy_le_of_lt
/-- An order is strongly coatomic if every nontrivial interval `[a, b]`
contains an element covered by `b`. -/
@[mk_iff]
class IsStronglyCoatomic (α : Type*) [Preorder α] : Prop where
(exists_le_covBy_of_lt : ∀ (a b : α), a < b → ∃ x, a ≤ x ∧ x ⋖ b)
theorem exists_le_covBy_of_lt [IsStronglyCoatomic α] (h : a < b) : ∃ x, a ≤ x ∧ x ⋖ b :=
IsStronglyCoatomic.exists_le_covBy_of_lt a b h
alias LT.lt.exists_le_covby := exists_le_covBy_of_lt
theorem isStronglyAtomic_dual_iff_is_stronglyCoatomic :
IsStronglyAtomic αᵒᵈ ↔ IsStronglyCoatomic α := by
simpa [isStronglyAtomic_iff, OrderDual.exists, OrderDual.forall,
OrderDual.toDual_le_toDual, and_comm, isStronglyCoatomic_iff] using forall_comm
@[simp] theorem isStronglyCoatomic_dual_iff_is_stronglyAtomic :
IsStronglyCoatomic αᵒᵈ ↔ IsStronglyAtomic α := by
rw [← isStronglyAtomic_dual_iff_is_stronglyCoatomic]; rfl
instance OrderDual.instIsStronglyCoatomic [IsStronglyAtomic α] : IsStronglyCoatomic αᵒᵈ := by
rwa [isStronglyCoatomic_dual_iff_is_stronglyAtomic]
instance [IsStronglyCoatomic α] : IsStronglyAtomic αᵒᵈ := by
rwa [isStronglyAtomic_dual_iff_is_stronglyCoatomic]
instance IsStronglyAtomic.isAtomic (α : Type*) [PartialOrder α] [OrderBot α] [IsStronglyAtomic α] :
IsAtomic α where
eq_bot_or_exists_atom_le a := by
rw [or_iff_not_imp_left, ← Ne, ← bot_lt_iff_ne_bot]
refine fun hlt ↦ ?_
obtain ⟨x, hx, hxa⟩ := hlt.exists_covby_le
exact ⟨x, bot_covBy_iff.1 hx, hxa⟩
instance IsStronglyCoatomic.toIsCoatomic (α : Type*) [PartialOrder α] [OrderTop α]
[IsStronglyCoatomic α] : IsCoatomic α :=
isAtomic_dual_iff_isCoatomic.1 <| IsStronglyAtomic.isAtomic (α := αᵒᵈ)
theorem Set.OrdConnected.isStronglyAtomic [IsStronglyAtomic α] {s : Set α}
(h : Set.OrdConnected s) : IsStronglyAtomic s where
exists_covBy_le_of_lt := by
rintro ⟨c, hc⟩ ⟨d, hd⟩ hcd
obtain ⟨x, hcx, hxd⟩ := (Subtype.mk_lt_mk.1 hcd).exists_covby_le
exact ⟨⟨x, h.out' hc hd ⟨hcx.le, hxd⟩⟩,
⟨by simpa using hcx.lt, fun y hy hy' ↦ hcx.2 (by simpa using hy) (by simpa using hy')⟩, hxd⟩
theorem Set.OrdConnected.isStronglyCoatomic [IsStronglyCoatomic α] {s : Set α}
(h : Set.OrdConnected s) : IsStronglyCoatomic s :=
isStronglyAtomic_dual_iff_is_stronglyCoatomic.1 h.dual.isStronglyAtomic
instance [IsStronglyAtomic α] {s : Set α} [Set.OrdConnected s] : IsStronglyAtomic s :=
Set.OrdConnected.isStronglyAtomic <| by assumption
instance [IsStronglyCoatomic α] {s : Set α} [h : Set.OrdConnected s] : IsStronglyCoatomic s :=
Set.OrdConnected.isStronglyCoatomic <| by assumption
instance SuccOrder.toIsStronglyAtomic [SuccOrder α] : IsStronglyAtomic α where
exists_covBy_le_of_lt a _ hab :=
⟨SuccOrder.succ a, Order.covBy_succ_of_not_isMax fun ha ↦ ha.not_lt hab,
SuccOrder.succ_le_of_lt hab⟩
instance [PredOrder α] : IsStronglyCoatomic α := by
rw [← isStronglyAtomic_dual_iff_is_stronglyCoatomic]; infer_instance
end StronglyAtomic
section WellFounded
theorem IsStronglyAtomic.of_wellFounded_lt (h : WellFounded ((· < ·) : α → α → Prop)) :
IsStronglyAtomic α where
exists_covBy_le_of_lt a b hab := by
refine ⟨WellFounded.min h (Set.Ioc a b) ⟨b, hab,rfl.le⟩, ?_⟩
have hmem := (WellFounded.min_mem h (Set.Ioc a b) ⟨b, hab,rfl.le⟩)
exact ⟨⟨hmem.1,fun c hac hlt ↦ WellFounded.not_lt_min h
(Set.Ioc a b) ⟨b, hab,rfl.le⟩ ⟨hac, hlt.le.trans hmem.2⟩ hlt ⟩, hmem.2⟩
theorem IsStronglyCoatomic.of_wellFounded_gt (h : WellFounded ((· > ·) : α → α → Prop)) :
IsStronglyCoatomic α :=
isStronglyAtomic_dual_iff_is_stronglyCoatomic.1 <| IsStronglyAtomic.of_wellFounded_lt (α := αᵒᵈ) h
instance [WellFoundedLT α] : IsStronglyAtomic α :=
IsStronglyAtomic.of_wellFounded_lt wellFounded_lt
instance [WellFoundedGT α] : IsStronglyCoatomic α :=
IsStronglyCoatomic.of_wellFounded_gt wellFounded_gt
theorem isAtomic_of_orderBot_wellFounded_lt [OrderBot α]
(h : WellFounded ((· < ·) : α → α → Prop)) : IsAtomic α :=
(IsStronglyAtomic.of_wellFounded_lt h).isAtomic
theorem isCoatomic_of_orderTop_gt_wellFounded [OrderTop α]
(h : WellFounded ((· > ·) : α → α → Prop)) : IsCoatomic α :=
isAtomic_dual_iff_isCoatomic.1 (@isAtomic_of_orderBot_wellFounded_lt αᵒᵈ _ _ h)
end WellFounded
namespace BooleanAlgebra
theorem le_iff_atom_le_imp {α} [BooleanAlgebra α] [IsAtomic α] {x y : α} :
x ≤ y ↔ ∀ a, IsAtom a → a ≤ x → a ≤ y := by
refine ⟨fun h a _ => (le_trans · h), fun h => ?_⟩
have : x ⊓ yᶜ = ⊥ := of_not_not fun hbot =>
have ⟨a, ha, hle⟩ := (eq_bot_or_exists_atom_le _).resolve_left hbot
have ⟨hx, hy'⟩ := le_inf_iff.1 hle
have hy := h a ha hx
have : a ≤ y ⊓ yᶜ := le_inf_iff.2 ⟨hy, hy'⟩
ha.1 (by simpa using this)
exact (eq_compl_iff_isCompl.1 (by simp)).inf_right_eq_bot_iff.1 this
theorem eq_iff_atom_le_iff {α} [BooleanAlgebra α] [IsAtomic α] {x y : α} :
x = y ↔ ∀ a, IsAtom a → (a ≤ x ↔ a ≤ y) := by
refine ⟨fun h => h ▸ by simp, fun h => ?_⟩
exact le_antisymm (le_iff_atom_le_imp.2 fun a ha hx => (h a ha).1 hx)
(le_iff_atom_le_imp.2 fun a ha hy => (h a ha).2 hy)
end BooleanAlgebra
namespace CompleteBooleanAlgebra
-- See note [reducible non-instances]
abbrev toCompleteAtomicBooleanAlgebra {α} [CompleteBooleanAlgebra α] [IsAtomic α] :
CompleteAtomicBooleanAlgebra α where
__ := ‹CompleteBooleanAlgebra α›
iInf_iSup_eq f := BooleanAlgebra.eq_iff_atom_le_iff.2 fun a ha => by
simp only [le_iInf_iff, atom_le_iSup ha]
rw [Classical.skolem]
end CompleteBooleanAlgebra
end Atomic
section Atomistic
variable (α) [PartialOrder α]
/-- A lattice is atomistic iff every element is a `sSup` of a set of atoms. -/
@[mk_iff]
class IsAtomistic [OrderBot α] : Prop where
/-- Every element is a `sSup` of a set of atoms. -/
isLUB_atoms : ∀ b : α, ∃ s : Set α, IsLUB s b ∧ ∀ a, a ∈ s → IsAtom a
/-- A lattice is coatomistic iff every element is an `sInf` of a set of coatoms. -/
@[mk_iff]
class IsCoatomistic [OrderTop α] : Prop where
/-- Every element is a `sInf` of a set of coatoms. -/
isGLB_coatoms : ∀ b : α, ∃ s : Set α, IsGLB s b ∧ ∀ a, a ∈ s → IsCoatom a
export IsAtomistic (isLUB_atoms)
export IsCoatomistic (isGLB_coatoms)
variable {α}
@[simp]
theorem isCoatomistic_dual_iff_isAtomistic [OrderBot α] : IsCoatomistic αᵒᵈ ↔ IsAtomistic α :=
⟨fun h => ⟨fun b => by apply h.isGLB_coatoms⟩, fun h => ⟨fun b => by apply h.isLUB_atoms⟩⟩
@[simp]
theorem isAtomistic_dual_iff_isCoatomistic [OrderTop α] : IsAtomistic αᵒᵈ ↔ IsCoatomistic α :=
⟨fun h => ⟨fun b => by apply h.isLUB_atoms⟩, fun h => ⟨fun b => by apply h.isGLB_coatoms⟩⟩
namespace IsAtomistic
instance _root_.OrderDual.instIsCoatomistic [OrderBot α] [h : IsAtomistic α] : IsCoatomistic αᵒᵈ :=
isCoatomistic_dual_iff_isAtomistic.2 h
variable [OrderBot α] [IsAtomistic α]
instance (priority := 100) : IsAtomic α :=
⟨fun b => by
rcases isLUB_atoms b with ⟨s, hsb, hs⟩
rcases s.eq_empty_or_nonempty with rfl | ⟨a, ha⟩
· simp_all
· exact Or.inr ⟨a, hs _ ha, hsb.1 ha⟩⟩
end IsAtomistic
section IsAtomistic
variable [OrderBot α] [IsAtomistic α]
theorem isLUB_atoms_le (b : α) : IsLUB { a : α | IsAtom a ∧ a ≤ b } b := by
rcases isLUB_atoms b with ⟨s, hsb, hs⟩
exact ⟨fun c hc ↦ hc.2, fun c hc ↦ hsb.2 fun i hi ↦ hc ⟨hs _ hi, hsb.1 hi⟩⟩
theorem isLUB_atoms_top [OrderTop α] : IsLUB { a : α | IsAtom a } ⊤ := by
simpa using isLUB_atoms_le (⊤ : α)
theorem le_iff_atom_le_imp {a b : α} : a ≤ b ↔ ∀ c : α, IsAtom c → c ≤ a → c ≤ b :=
⟨fun hab _ _ hca ↦ hca.trans hab,
fun h ↦ (isLUB_atoms_le a).mono (isLUB_atoms_le b) fun _ ⟨h₁, h₂⟩ ↦ ⟨h₁, h _ h₁ h₂⟩⟩
theorem eq_iff_atom_le_iff {a b : α} : a = b ↔ ∀ c, IsAtom c → (c ≤ a ↔ c ≤ b) := by
refine ⟨fun h => by simp [h], fun h => ?_⟩
rw [le_antisymm_iff, le_iff_atom_le_imp, le_iff_atom_le_imp]
aesop
end IsAtomistic
namespace IsCoatomistic
variable [OrderTop α]
instance _root_.OrderDual.instIsAtomistic [h : IsCoatomistic α] : IsAtomistic αᵒᵈ :=
isAtomistic_dual_iff_isCoatomistic.2 h
variable [IsCoatomistic α]
instance (priority := 100) : IsCoatomic α :=
⟨fun b => by
rcases isGLB_coatoms b with ⟨s, hsb, hs⟩
rcases s.eq_empty_or_nonempty with rfl | ⟨a, ha⟩
· simp_all
· exact Or.inr ⟨a, hs _ ha, hsb.1 ha⟩⟩
end IsCoatomistic
section CompleteLattice
@[simp]
theorem sSup_atoms_le_eq {α} [CompleteLattice α] [IsAtomistic α] (b : α) :
sSup { a : α | IsAtom a ∧ a ≤ b } = b :=
(isLUB_atoms_le b).sSup_eq
@[simp]
theorem sSup_atoms_eq_top {α} [CompleteLattice α] [IsAtomistic α] :
sSup { a : α | IsAtom a } = ⊤ :=
isLUB_atoms_top.sSup_eq
nonrec lemma CompleteLattice.isAtomistic_iff {α} [CompleteLattice α] :
IsAtomistic α ↔ ∀ b : α, ∃ s : Set α, b = sSup s ∧ ∀ a ∈ s, IsAtom a := by
simp_rw [isAtomistic_iff, isLUB_iff_sSup_eq, eq_comm]
lemma eq_sSup_atoms {α} [CompleteLattice α] [IsAtomistic α] (b : α) :
∃ s : Set α, b = sSup s ∧ ∀ a ∈ s, IsAtom a :=
CompleteLattice.isAtomistic_iff.1 ‹_› b
nonrec lemma CompleteLattice.isCoatomistic_iff {α} [CompleteLattice α] :
IsCoatomistic α ↔ ∀ b : α, ∃ s : Set α, b = sInf s ∧ ∀ a ∈ s, IsCoatom a := by
simp_rw [isCoatomistic_iff, isGLB_iff_sInf_eq, eq_comm]
lemma eq_sInf_coatoms {α} [CompleteLattice α] [IsCoatomistic α] (b : α) :
∃ s : Set α, b = sInf s ∧ ∀ a ∈ s, IsCoatom a :=
CompleteLattice.isCoatomistic_iff.1 ‹_› b
end CompleteLattice
namespace CompleteAtomicBooleanAlgebra
instance {α} [CompleteAtomicBooleanAlgebra α] : IsAtomistic α :=
CompleteLattice.isAtomistic_iff.2 fun b ↦ by
inhabit α
refine ⟨{ a | IsAtom a ∧ a ≤ b }, ?_, fun a ha => ha.1⟩
refine le_antisymm ?_ (sSup_le fun c hc => hc.2)
have : (⨅ c : α, ⨆ x, b ⊓ cond x c (cᶜ)) = b := by simp [iSup_bool_eq, iInf_const]
rw [← this]; clear this
simp_rw [iInf_iSup_eq, iSup_le_iff]; intro g
if h : (⨅ a, b ⊓ cond (g a) a (aᶜ)) = ⊥ then simp [h] else
refine le_sSup ⟨⟨h, fun c hc => ?_⟩, le_trans (by rfl) (le_iSup _ g)⟩; clear h
have := lt_of_lt_of_le hc (le_trans (iInf_le _ c) inf_le_right)
revert this
nontriviality α
cases g c <;> simp
instance {α} [CompleteAtomicBooleanAlgebra α] : IsCoatomistic α :=
isAtomistic_dual_iff_isCoatomistic.1 inferInstance
end CompleteAtomicBooleanAlgebra
end Atomistic
/-- An order is simple iff it has exactly two elements, `⊥` and `⊤`. -/
@[mk_iff]
class IsSimpleOrder (α : Type*) [LE α] [BoundedOrder α] : Prop extends Nontrivial α where
/-- Every element is either `⊥` or `⊤` -/
eq_bot_or_eq_top : ∀ a : α, a = ⊥ ∨ a = ⊤
export IsSimpleOrder (eq_bot_or_eq_top)
theorem isSimpleOrder_iff_isSimpleOrder_orderDual [LE α] [BoundedOrder α] :
IsSimpleOrder α ↔ IsSimpleOrder αᵒᵈ := by
constructor <;> intro i <;> haveI := i
· exact
{ exists_pair_ne := @exists_pair_ne α _
eq_bot_or_eq_top := fun a => Or.symm (eq_bot_or_eq_top (OrderDual.ofDual a) : _ ∨ _) }
· exact
{ exists_pair_ne := @exists_pair_ne αᵒᵈ _
eq_bot_or_eq_top := fun a => Or.symm (eq_bot_or_eq_top (OrderDual.toDual a)) }
theorem IsSimpleOrder.bot_ne_top [LE α] [BoundedOrder α] [IsSimpleOrder α] : (⊥ : α) ≠ (⊤ : α) := by
obtain ⟨a, b, h⟩ := exists_pair_ne α
rcases eq_bot_or_eq_top a with (rfl | rfl) <;> rcases eq_bot_or_eq_top b with (rfl | rfl) <;>
first |simpa|simpa using h.symm
section IsSimpleOrder
variable [PartialOrder α] [BoundedOrder α] [IsSimpleOrder α]
instance OrderDual.instIsSimpleOrder {α} [LE α] [BoundedOrder α] [IsSimpleOrder α] :
IsSimpleOrder αᵒᵈ := isSimpleOrder_iff_isSimpleOrder_orderDual.1 (by infer_instance)
/-- A simple `BoundedOrder` induces a preorder. This is not an instance to prevent loops. -/
protected def IsSimpleOrder.preorder {α} [LE α] [BoundedOrder α] [IsSimpleOrder α] :
Preorder α where
le := (· ≤ ·)
le_refl a := by rcases eq_bot_or_eq_top a with (rfl | rfl) <;> simp
le_trans a b c := by
rcases eq_bot_or_eq_top a with (rfl | rfl)
· simp
· rcases eq_bot_or_eq_top b with (rfl | rfl)
· rcases eq_bot_or_eq_top c with (rfl | rfl) <;> simp
· simp
/-- A simple partial ordered `BoundedOrder` induces a linear order.
This is not an instance to prevent loops. -/
protected def IsSimpleOrder.linearOrder [DecidableEq α] : LinearOrder α :=
{ (inferInstance : PartialOrder α) with
le_total := fun a b => by rcases eq_bot_or_eq_top a with (rfl | rfl) <;> simp
-- Note from #23976: do we want this inlined or should this be a separate definition?
toDecidableLE := fun a b =>
if ha : a = ⊥ then isTrue (ha.le.trans bot_le)
else
if hb : b = ⊤ then isTrue (le_top.trans hb.ge)
else
isFalse fun H =>
hb (top_unique (le_trans (top_le_iff.mpr (Or.resolve_left
(eq_bot_or_eq_top a) ha)) H))
toDecidableEq := ‹_› }
theorem isAtom_top : IsAtom (⊤ : α) :=
⟨top_ne_bot, fun a ha => Or.resolve_right (eq_bot_or_eq_top a) (ne_of_lt ha)⟩
@[simp]
theorem isAtom_iff_eq_top {a : α} : IsAtom a ↔ a = ⊤ :=
⟨fun h ↦ (eq_bot_or_eq_top a).resolve_left h.1, (· ▸ isAtom_top)⟩
theorem isCoatom_bot : IsCoatom (⊥ : α) :=
isAtom_dual_iff_isCoatom.1 isAtom_top
@[simp]
theorem isCoatom_iff_eq_bot {a : α} : IsCoatom a ↔ a = ⊥ :=
⟨fun h ↦ (eq_bot_or_eq_top a).resolve_right h.1, (· ▸ isCoatom_bot)⟩
theorem bot_covBy_top : (⊥ : α) ⋖ ⊤ :=
isAtom_top.bot_covBy
end IsSimpleOrder
namespace IsSimpleOrder
section Preorder
variable [Preorder α] [BoundedOrder α] [IsSimpleOrder α] {a b : α} (h : a < b)
include h
theorem eq_bot_of_lt : a = ⊥ :=
(IsSimpleOrder.eq_bot_or_eq_top _).resolve_right h.ne_top
theorem eq_top_of_lt : b = ⊤ :=
(IsSimpleOrder.eq_bot_or_eq_top _).resolve_left h.ne_bot
alias _root_.LT.lt.eq_bot := eq_bot_of_lt
alias _root_.LT.lt.eq_top := eq_top_of_lt
end Preorder
section BoundedOrder
variable [Lattice α] [BoundedOrder α] [IsSimpleOrder α]
/-- A simple partial ordered `BoundedOrder` induces a lattice.
This is not an instance to prevent loops -/
protected def lattice {α} [DecidableEq α] [PartialOrder α] [BoundedOrder α] [IsSimpleOrder α] :
Lattice α :=
@LinearOrder.toLattice α IsSimpleOrder.linearOrder
/-- A lattice that is a `BoundedOrder` is a distributive lattice.
This is not an instance to prevent loops -/
protected def distribLattice : DistribLattice α :=
{ (inferInstance : Lattice α) with
le_sup_inf := fun x y z => by rcases eq_bot_or_eq_top x with (rfl | rfl) <;> simp }
-- see Note [lower instance priority]
instance (priority := 100) : IsAtomic α :=
⟨fun b => (eq_bot_or_eq_top b).imp_right fun h => ⟨⊤, ⟨isAtom_top, ge_of_eq h⟩⟩⟩
-- see Note [lower instance priority]
instance (priority := 100) : IsCoatomic α :=
isAtomic_dual_iff_isCoatomic.1 (by infer_instance)
end BoundedOrder
-- It is important that in this section `IsSimpleOrder` is the last type-class argument.
section DecidableEq
variable [DecidableEq α] [PartialOrder α] [BoundedOrder α] [IsSimpleOrder α]
/-- Every simple lattice is isomorphic to `Bool`, regardless of order. -/
@[simps]
def equivBool {α} [DecidableEq α] [LE α] [BoundedOrder α] [IsSimpleOrder α] : α ≃ Bool where
toFun x := x = ⊤
invFun x := x.casesOn ⊥ ⊤
left_inv x := by rcases eq_bot_or_eq_top x with (rfl | rfl) <;> simp [bot_ne_top]
right_inv x := by cases x <;> simp [bot_ne_top]
/-- Every simple lattice over a partial order is order-isomorphic to `Bool`. -/
def orderIsoBool : α ≃o Bool :=
{ equivBool with
map_rel_iff' := @fun a b => by
rcases eq_bot_or_eq_top a with (rfl | rfl)
· simp [bot_ne_top]
· rcases eq_bot_or_eq_top b with (rfl | rfl)
· simp [bot_ne_top.symm, bot_ne_top, Bool.false_lt_true]
· simp [bot_ne_top] }
/-- A simple `BoundedOrder` is also a `BooleanAlgebra`. -/
protected def booleanAlgebra {α} [DecidableEq α] [Lattice α] [BoundedOrder α] [IsSimpleOrder α] :
BooleanAlgebra α :=
{ inferInstanceAs (BoundedOrder α), IsSimpleOrder.distribLattice with
compl := fun x => if x = ⊥ then ⊤ else ⊥
sdiff := fun x y => if x = ⊤ ∧ y = ⊥ then ⊤ else ⊥
sdiff_eq := fun x y => by
rcases eq_bot_or_eq_top x with (rfl | rfl) <;> simp [bot_ne_top, SDiff.sdiff, compl]
inf_compl_le_bot := fun x => by
rcases eq_bot_or_eq_top x with (rfl | rfl)
· simp
· simp
top_le_sup_compl := fun x => by rcases eq_bot_or_eq_top x with (rfl | rfl) <;> simp }
end DecidableEq
variable [Lattice α] [BoundedOrder α] [IsSimpleOrder α]
| open Classical in
/-- A simple `BoundedOrder` is also complete. -/
protected noncomputable def completeLattice : CompleteLattice α :=
{ (inferInstance : Lattice α),
| Mathlib/Order/Atoms.lean | 802 | 805 |
/-
Copyright (c) 2021 Rémy Degenne. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Rémy Degenne
-/
import Mathlib.MeasureTheory.Function.ConditionalExpectation.CondexpL1
/-! # Conditional expectation
We build the conditional expectation of an integrable function `f` with value in a Banach space
with respect to a measure `μ` (defined on a measurable space structure `m₀`) and a measurable space
structure `m` with `hm : m ≤ m₀` (a sub-sigma-algebra). This is an `m`-strongly measurable
function `μ[f|hm]` which is integrable and verifies `∫ x in s, μ[f|hm] x ∂μ = ∫ x in s, f x ∂μ`
for all `m`-measurable sets `s`. It is unique as an element of `L¹`.
The construction is done in four steps:
* Define the conditional expectation of an `L²` function, as an element of `L²`. This is the
orthogonal projection on the subspace of almost everywhere `m`-measurable functions.
* Show that the conditional expectation of the indicator of a measurable set with finite measure
is integrable and define a map `Set α → (E →L[ℝ] (α →₁[μ] E))` which to a set associates a linear
map. That linear map sends `x ∈ E` to the conditional expectation of the indicator of the set
with value `x`.
* Extend that map to `condExpL1CLM : (α →₁[μ] E) →L[ℝ] (α →₁[μ] E)`. This is done using the same
construction as the Bochner integral (see the file `MeasureTheory/Integral/SetToL1`).
* Define the conditional expectation of a function `f : α → E`, which is an integrable function
`α → E` equal to 0 if `f` is not integrable, and equal to an `m`-measurable representative of
`condExpL1CLM` applied to `[f]`, the equivalence class of `f` in `L¹`.
The first step is done in `MeasureTheory.Function.ConditionalExpectation.CondexpL2`, the two
next steps in `MeasureTheory.Function.ConditionalExpectation.CondexpL1` and the final step is
performed in this file.
## Main results
The conditional expectation and its properties
* `condExp (m : MeasurableSpace α) (μ : Measure α) (f : α → E)`: conditional expectation of `f`
with respect to `m`.
* `integrable_condExp` : `condExp` is integrable.
* `stronglyMeasurable_condExp` : `condExp` is `m`-strongly-measurable.
* `setIntegral_condExp (hf : Integrable f μ) (hs : MeasurableSet[m] s)` : if `m ≤ m₀` (the
σ-algebra over which the measure is defined), then the conditional expectation verifies
`∫ x in s, condExp m μ f x ∂μ = ∫ x in s, f x ∂μ` for any `m`-measurable set `s`.
While `condExp` is function-valued, we also define `condExpL1` with value in `L1` and a continuous
linear map `condExpL1CLM` from `L1` to `L1`. `condExp` should be used in most cases.
Uniqueness of the conditional expectation
* `ae_eq_condExp_of_forall_setIntegral_eq`: an a.e. `m`-measurable function which verifies the
equality of integrals is a.e. equal to `condExp`.
## Notations
For a measure `μ` defined on a measurable space structure `m₀`, another measurable space structure
`m` with `hm : m ≤ m₀` (a sub-σ-algebra) and a function `f`, we define the notation
* `μ[f|m] = condExp m μ f`.
## TODO
See https://leanprover.zulipchat.com/#narrow/channel/217875-Is-there-code-for-X.3F/topic/Conditional.20expectation.20of.20product
for how to prove that we can pull `m`-measurable continuous linear maps out of the `m`-conditional
expectation. This would generalise `MeasureTheory.condExp_mul_of_stronglyMeasurable_left`.
## Tags
conditional expectation, conditional expected value
-/
open TopologicalSpace MeasureTheory.Lp Filter
open scoped ENNReal Topology MeasureTheory
namespace MeasureTheory
-- 𝕜 for ℝ or ℂ
-- E for integrals on a Lp submodule
variable {α β E 𝕜 : Type*} [RCLike 𝕜] {m m₀ : MeasurableSpace α} {μ : Measure α} {f g : α → E}
{s : Set α}
section NormedAddCommGroup
variable [NormedAddCommGroup E] [NormedSpace ℝ E] [CompleteSpace E]
open scoped Classical in
variable (m) in
/-- Conditional expectation of a function, with notation `μ[f|m]`.
It is defined as 0 if any one of the following conditions is true:
- `m` is not a sub-σ-algebra of `m₀`,
- `μ` is not σ-finite with respect to `m`,
- `f` is not integrable. -/
noncomputable irreducible_def condExp (μ : Measure[m₀] α) (f : α → E) : α → E :=
if hm : m ≤ m₀ then
if h : SigmaFinite (μ.trim hm) ∧ Integrable f μ then
if StronglyMeasurable[m] f then f
else have := h.1; aestronglyMeasurable_condExpL1.mk (condExpL1 hm μ f)
else 0
else 0
@[deprecated (since := "2025-01-21")] alias condexp := condExp
@[inherit_doc MeasureTheory.condExp]
scoped macro:max μ:term noWs "[" f:term "|" m:term "]" : term =>
`(MeasureTheory.condExp $m $μ $f)
/-- Unexpander for `μ[f|m]` notation. -/
@[app_unexpander MeasureTheory.condExp]
def condExpUnexpander : Lean.PrettyPrinter.Unexpander
| `($_ $m $μ $f) => `($μ[$f|$m])
| _ => throw ()
/-- info: μ[f|m] : α → E -/
#guard_msgs in
#check μ[f | m]
/-- info: μ[f|m] sorry : E -/
#guard_msgs in
#check μ[f | m] (sorry : α)
theorem condExp_of_not_le (hm_not : ¬m ≤ m₀) : μ[f|m] = 0 := by rw [condExp, dif_neg hm_not]
@[deprecated (since := "2025-01-21")] alias condexp_of_not_le := condExp_of_not_le
theorem condExp_of_not_sigmaFinite (hm : m ≤ m₀) (hμm_not : ¬SigmaFinite (μ.trim hm)) :
μ[f|m] = 0 := by rw [condExp, dif_pos hm, dif_neg]; push_neg; exact fun h => absurd h hμm_not
@[deprecated (since := "2025-01-21")] alias condexp_of_not_sigmaFinite := condExp_of_not_sigmaFinite
open scoped Classical in
theorem condExp_of_sigmaFinite (hm : m ≤ m₀) [hμm : SigmaFinite (μ.trim hm)] :
μ[f|m] =
if Integrable f μ then
if StronglyMeasurable[m] f then f
else aestronglyMeasurable_condExpL1.mk (condExpL1 hm μ f)
else 0 := by
rw [condExp, dif_pos hm]
simp only [hμm, Ne, true_and]
by_cases hf : Integrable f μ
· rw [dif_pos hf, if_pos hf]
· rw [dif_neg hf, if_neg hf]
@[deprecated (since := "2025-01-21")] alias condexp_of_sigmaFinite := condExp_of_sigmaFinite
theorem condExp_of_stronglyMeasurable (hm : m ≤ m₀) [hμm : SigmaFinite (μ.trim hm)] {f : α → E}
(hf : StronglyMeasurable[m] f) (hfi : Integrable f μ) : μ[f|m] = f := by
rw [condExp_of_sigmaFinite hm, if_pos hfi, if_pos hf]
@[deprecated (since := "2025-01-21")]
alias condexp_of_stronglyMeasurable := condExp_of_stronglyMeasurable
@[simp]
theorem condExp_const (hm : m ≤ m₀) (c : E) [IsFiniteMeasure μ] : μ[fun _ : α ↦ c|m] = fun _ ↦ c :=
condExp_of_stronglyMeasurable hm stronglyMeasurable_const (integrable_const c)
@[deprecated (since := "2025-01-21")] alias condexp_const := condExp_const
theorem condExp_ae_eq_condExpL1 (hm : m ≤ m₀) [hμm : SigmaFinite (μ.trim hm)] (f : α → E) :
μ[f|m] =ᵐ[μ] condExpL1 hm μ f := by
rw [condExp_of_sigmaFinite hm]
by_cases hfi : Integrable f μ
· rw [if_pos hfi]
by_cases hfm : StronglyMeasurable[m] f
· rw [if_pos hfm]
exact (condExpL1_of_aestronglyMeasurable' hfm.aestronglyMeasurable hfi).symm
· rw [if_neg hfm]
exact aestronglyMeasurable_condExpL1.ae_eq_mk.symm
rw [if_neg hfi, condExpL1_undef hfi]
exact (coeFn_zero _ _ _).symm
@[deprecated (since := "2025-01-21")] alias condexp_ae_eq_condexpL1 := condExp_ae_eq_condExpL1
theorem condExp_ae_eq_condExpL1CLM (hm : m ≤ m₀) [SigmaFinite (μ.trim hm)] (hf : Integrable f μ) :
μ[f|m] =ᵐ[μ] condExpL1CLM E hm μ (hf.toL1 f) := by
refine (condExp_ae_eq_condExpL1 hm f).trans (Eventually.of_forall fun x => ?_)
rw [condExpL1_eq hf]
@[deprecated (since := "2025-01-21")] alias condexp_ae_eq_condexpL1CLM := condExp_ae_eq_condExpL1CLM
theorem condExp_of_not_integrable (hf : ¬Integrable f μ) : μ[f|m] = 0 := by
by_cases hm : m ≤ m₀
swap; · rw [condExp_of_not_le hm]
by_cases hμm : SigmaFinite (μ.trim hm)
swap; · rw [condExp_of_not_sigmaFinite hm hμm]
rw [condExp_of_sigmaFinite, if_neg hf]
@[deprecated (since := "2025-01-21")] alias condexp_undef := condExp_of_not_integrable
@[deprecated (since := "2025-01-21")] alias condExp_undef := condExp_of_not_integrable
@[simp]
theorem condExp_zero : μ[(0 : α → E)|m] = 0 := by
by_cases hm : m ≤ m₀
swap; · rw [condExp_of_not_le hm]
by_cases hμm : SigmaFinite (μ.trim hm)
swap; · rw [condExp_of_not_sigmaFinite hm hμm]
exact condExp_of_stronglyMeasurable hm stronglyMeasurable_zero (integrable_zero _ _ _)
@[deprecated (since := "2025-01-21")] alias condexp_zero := condExp_zero
theorem stronglyMeasurable_condExp : StronglyMeasurable[m] (μ[f|m]) := by
by_cases hm : m ≤ m₀
swap; · rw [condExp_of_not_le hm]; exact stronglyMeasurable_zero
by_cases hμm : SigmaFinite (μ.trim hm)
swap; · rw [condExp_of_not_sigmaFinite hm hμm]; exact stronglyMeasurable_zero
rw [condExp_of_sigmaFinite hm]
split_ifs with hfi hfm
· exact hfm
· exact aestronglyMeasurable_condExpL1.stronglyMeasurable_mk
· exact stronglyMeasurable_zero
@[deprecated (since := "2025-01-21")] alias stronglyMeasurable_condexp := stronglyMeasurable_condExp
theorem condExp_congr_ae (h : f =ᵐ[μ] g) : μ[f|m] =ᵐ[μ] μ[g|m] := by
by_cases hm : m ≤ m₀
swap; · simp_rw [condExp_of_not_le hm]; rfl
by_cases hμm : SigmaFinite (μ.trim hm)
swap; · simp_rw [condExp_of_not_sigmaFinite hm hμm]; rfl
exact (condExp_ae_eq_condExpL1 hm f).trans
(Filter.EventuallyEq.trans (by rw [condExpL1_congr_ae hm h])
(condExp_ae_eq_condExpL1 hm g).symm)
@[deprecated (since := "2025-01-21")] alias condexp_congr_ae := condExp_congr_ae
lemma condExp_congr_ae_trim (hm : m ≤ m₀) (hfg : f =ᵐ[μ] g) :
μ[f|m] =ᵐ[μ.trim hm] μ[g|m] :=
StronglyMeasurable.ae_eq_trim_of_stronglyMeasurable hm
stronglyMeasurable_condExp stronglyMeasurable_condExp (condExp_congr_ae hfg)
theorem condExp_of_aestronglyMeasurable' (hm : m ≤ m₀) [hμm : SigmaFinite (μ.trim hm)] {f : α → E}
(hf : AEStronglyMeasurable[m] f μ) (hfi : Integrable f μ) : μ[f|m] =ᵐ[μ] f := by
refine ((condExp_congr_ae hf.ae_eq_mk).trans ?_).trans hf.ae_eq_mk.symm
rw [condExp_of_stronglyMeasurable hm hf.stronglyMeasurable_mk
((integrable_congr hf.ae_eq_mk).mp hfi)]
@[deprecated (since := "2025-01-21")]
alias condexp_of_aestronglyMeasurable' := condExp_of_aestronglyMeasurable'
@[fun_prop]
theorem integrable_condExp : Integrable (μ[f|m]) μ := by
by_cases hm : m ≤ m₀
swap; · rw [condExp_of_not_le hm]; exact integrable_zero _ _ _
| by_cases hμm : SigmaFinite (μ.trim hm)
swap; · rw [condExp_of_not_sigmaFinite hm hμm]; exact integrable_zero _ _ _
exact (integrable_condExpL1 f).congr (condExp_ae_eq_condExpL1 hm f).symm
| Mathlib/MeasureTheory/Function/ConditionalExpectation/Basic.lean | 239 | 242 |
/-
Copyright (c) 2020 Aaron Anderson, Jalex Stark, Kyle Miller. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Aaron Anderson, Jalex Stark, Kyle Miller, Alena Gusakov, Hunter Monroe
-/
import Mathlib.Combinatorics.SimpleGraph.Init
import Mathlib.Data.Finite.Prod
import Mathlib.Data.Rel
import Mathlib.Data.Set.Finite.Basic
import Mathlib.Data.Sym.Sym2
/-!
# Simple graphs
This module defines simple graphs on a vertex type `V` as an irreflexive symmetric relation.
## Main definitions
* `SimpleGraph` is a structure for symmetric, irreflexive relations.
* `SimpleGraph.neighborSet` is the `Set` of vertices adjacent to a given vertex.
* `SimpleGraph.commonNeighbors` is the intersection of the neighbor sets of two given vertices.
* `SimpleGraph.incidenceSet` is the `Set` of edges containing a given vertex.
* `CompleteAtomicBooleanAlgebra` instance: Under the subgraph relation, `SimpleGraph` forms a
`CompleteAtomicBooleanAlgebra`. In other words, this is the complete lattice of spanning subgraphs
of the complete graph.
## TODO
* This is the simplest notion of an unoriented graph.
This should eventually fit into a more complete combinatorics hierarchy which includes
multigraphs and directed graphs.
We begin with simple graphs in order to start learning what the combinatorics hierarchy should
look like.
-/
attribute [aesop norm unfold (rule_sets := [SimpleGraph])] Symmetric
attribute [aesop norm unfold (rule_sets := [SimpleGraph])] Irreflexive
/--
A variant of the `aesop` tactic for use in the graph library. Changes relative
to standard `aesop`:
- We use the `SimpleGraph` rule set in addition to the default rule sets.
- We instruct Aesop's `intro` rule to unfold with `default` transparency.
- We instruct Aesop to fail if it can't fully solve the goal. This allows us to
use `aesop_graph` for auto-params.
-/
macro (name := aesop_graph) "aesop_graph" c:Aesop.tactic_clause* : tactic =>
`(tactic|
aesop $c*
(config := { introsTransparency? := some .default, terminal := true })
(rule_sets := [$(Lean.mkIdent `SimpleGraph):ident]))
/--
Use `aesop_graph?` to pass along a `Try this` suggestion when using `aesop_graph`
-/
macro (name := aesop_graph?) "aesop_graph?" c:Aesop.tactic_clause* : tactic =>
`(tactic|
aesop? $c*
(config := { introsTransparency? := some .default, terminal := true })
(rule_sets := [$(Lean.mkIdent `SimpleGraph):ident]))
/--
A variant of `aesop_graph` which does not fail if it is unable to solve the goal.
Use this only for exploration! Nonterminal Aesop is even worse than nonterminal `simp`.
-/
macro (name := aesop_graph_nonterminal) "aesop_graph_nonterminal" c:Aesop.tactic_clause* : tactic =>
`(tactic|
aesop $c*
(config := { introsTransparency? := some .default, warnOnNonterminal := false })
(rule_sets := [$(Lean.mkIdent `SimpleGraph):ident]))
open Finset Function
universe u v w
/-- A simple graph is an irreflexive symmetric relation `Adj` on a vertex type `V`.
The relation describes which pairs of vertices are adjacent.
There is exactly one edge for every pair of adjacent vertices;
see `SimpleGraph.edgeSet` for the corresponding edge set.
-/
@[ext, aesop safe constructors (rule_sets := [SimpleGraph])]
structure SimpleGraph (V : Type u) where
/-- The adjacency relation of a simple graph. -/
Adj : V → V → Prop
symm : Symmetric Adj := by aesop_graph
loopless : Irreflexive Adj := by aesop_graph
initialize_simps_projections SimpleGraph (Adj → adj)
/-- Constructor for simple graphs using a symmetric irreflexive boolean function. -/
@[simps]
def SimpleGraph.mk' {V : Type u} :
{adj : V → V → Bool // (∀ x y, adj x y = adj y x) ∧ (∀ x, ¬ adj x x)} ↪ SimpleGraph V where
toFun x := ⟨fun v w ↦ x.1 v w, fun v w ↦ by simp [x.2.1], fun v ↦ by simp [x.2.2]⟩
inj' := by
rintro ⟨adj, _⟩ ⟨adj', _⟩
simp only [mk.injEq, Subtype.mk.injEq]
intro h
funext v w
simpa [Bool.coe_iff_coe] using congr_fun₂ h v w
/-- We can enumerate simple graphs by enumerating all functions `V → V → Bool`
and filtering on whether they are symmetric and irreflexive. -/
instance {V : Type u} [Fintype V] [DecidableEq V] : Fintype (SimpleGraph V) where
elems := Finset.univ.map SimpleGraph.mk'
complete := by
classical
rintro ⟨Adj, hs, hi⟩
simp only [mem_map, mem_univ, true_and, Subtype.exists, Bool.not_eq_true]
refine ⟨fun v w ↦ Adj v w, ⟨?_, ?_⟩, ?_⟩
· simp [hs.iff]
· intro v; simp [hi v]
· ext
simp
/-- There are finitely many simple graphs on a given finite type. -/
instance SimpleGraph.instFinite {V : Type u} [Finite V] : Finite (SimpleGraph V) :=
.of_injective SimpleGraph.Adj fun _ _ ↦ SimpleGraph.ext
/-- Construct the simple graph induced by the given relation. It
symmetrizes the relation and makes it irreflexive. -/
def SimpleGraph.fromRel {V : Type u} (r : V → V → Prop) : SimpleGraph V where
Adj a b := a ≠ b ∧ (r a b ∨ r b a)
symm := fun _ _ ⟨hn, hr⟩ => ⟨hn.symm, hr.symm⟩
loopless := fun _ ⟨hn, _⟩ => hn rfl
@[simp]
theorem SimpleGraph.fromRel_adj {V : Type u} (r : V → V → Prop) (v w : V) :
(SimpleGraph.fromRel r).Adj v w ↔ v ≠ w ∧ (r v w ∨ r w v) :=
Iff.rfl
attribute [aesop safe (rule_sets := [SimpleGraph])] Ne.symm
attribute [aesop safe (rule_sets := [SimpleGraph])] Ne.irrefl
/-- The complete graph on a type `V` is the simple graph with all pairs of distinct vertices
adjacent. In `Mathlib`, this is usually referred to as `⊤`. -/
def completeGraph (V : Type u) : SimpleGraph V where Adj := Ne
/-- The graph with no edges on a given vertex type `V`. `Mathlib` prefers the notation `⊥`. -/
def emptyGraph (V : Type u) : SimpleGraph V where Adj _ _ := False
/-- Two vertices are adjacent in the complete bipartite graph on two vertex types
if and only if they are not from the same side.
Any bipartite graph may be regarded as a subgraph of one of these. -/
@[simps]
def completeBipartiteGraph (V W : Type*) : SimpleGraph (V ⊕ W) where
Adj v w := v.isLeft ∧ w.isRight ∨ v.isRight ∧ w.isLeft
symm v w := by cases v <;> cases w <;> simp
loopless v := by cases v <;> simp
namespace SimpleGraph
variable {ι : Sort*} {V : Type u} (G : SimpleGraph V) {a b c u v w : V} {e : Sym2 V}
@[simp]
protected theorem irrefl {v : V} : ¬G.Adj v v :=
G.loopless v
theorem adj_comm (u v : V) : G.Adj u v ↔ G.Adj v u :=
⟨fun x => G.symm x, fun x => G.symm x⟩
@[symm]
theorem adj_symm (h : G.Adj u v) : G.Adj v u :=
G.symm h
theorem Adj.symm {G : SimpleGraph V} {u v : V} (h : G.Adj u v) : G.Adj v u :=
G.symm h
theorem ne_of_adj (h : G.Adj a b) : a ≠ b := by
rintro rfl
exact G.irrefl h
protected theorem Adj.ne {G : SimpleGraph V} {a b : V} (h : G.Adj a b) : a ≠ b :=
G.ne_of_adj h
protected theorem Adj.ne' {G : SimpleGraph V} {a b : V} (h : G.Adj a b) : b ≠ a :=
h.ne.symm
theorem ne_of_adj_of_not_adj {v w x : V} (h : G.Adj v x) (hn : ¬G.Adj w x) : v ≠ w := fun h' =>
hn (h' ▸ h)
theorem adj_injective : Injective (Adj : SimpleGraph V → V → V → Prop) :=
fun _ _ => SimpleGraph.ext
@[simp]
theorem adj_inj {G H : SimpleGraph V} : G.Adj = H.Adj ↔ G = H :=
adj_injective.eq_iff
theorem adj_congr_of_sym2 {u v w x : V} (h : s(u, v) = s(w, x)) : G.Adj u v ↔ G.Adj w x := by
simp only [Sym2.eq, Sym2.rel_iff', Prod.mk.injEq, Prod.swap_prod_mk] at h
rcases h with hl | hr
· rw [hl.1, hl.2]
· rw [hr.1, hr.2, adj_comm]
section Order
/-- The relation that one `SimpleGraph` is a subgraph of another.
Note that this should be spelled `≤`. -/
def IsSubgraph (x y : SimpleGraph V) : Prop :=
∀ ⦃v w : V⦄, x.Adj v w → y.Adj v w
instance : LE (SimpleGraph V) :=
⟨IsSubgraph⟩
@[simp]
theorem isSubgraph_eq_le : (IsSubgraph : SimpleGraph V → SimpleGraph V → Prop) = (· ≤ ·) :=
rfl
/-- The supremum of two graphs `x ⊔ y` has edges where either `x` or `y` have edges. -/
instance : Max (SimpleGraph V) where
max x y :=
{ Adj := x.Adj ⊔ y.Adj
symm := fun v w h => by rwa [Pi.sup_apply, Pi.sup_apply, x.adj_comm, y.adj_comm] }
@[simp]
theorem sup_adj (x y : SimpleGraph V) (v w : V) : (x ⊔ y).Adj v w ↔ x.Adj v w ∨ y.Adj v w :=
Iff.rfl
/-- The infimum of two graphs `x ⊓ y` has edges where both `x` and `y` have edges. -/
instance : Min (SimpleGraph V) where
min x y :=
{ Adj := x.Adj ⊓ y.Adj
symm := fun v w h => by rwa [Pi.inf_apply, Pi.inf_apply, x.adj_comm, y.adj_comm] }
@[simp]
theorem inf_adj (x y : SimpleGraph V) (v w : V) : (x ⊓ y).Adj v w ↔ x.Adj v w ∧ y.Adj v w :=
Iff.rfl
/-- We define `Gᶜ` to be the `SimpleGraph V` such that no two adjacent vertices in `G`
are adjacent in the complement, and every nonadjacent pair of vertices is adjacent
(still ensuring that vertices are not adjacent to themselves). -/
instance hasCompl : HasCompl (SimpleGraph V) where
compl G :=
{ Adj := fun v w => v ≠ w ∧ ¬G.Adj v w
symm := fun v w ⟨hne, _⟩ => ⟨hne.symm, by rwa [adj_comm]⟩
loopless := fun _ ⟨hne, _⟩ => (hne rfl).elim }
@[simp]
theorem compl_adj (G : SimpleGraph V) (v w : V) : Gᶜ.Adj v w ↔ v ≠ w ∧ ¬G.Adj v w :=
Iff.rfl
/-- The difference of two graphs `x \ y` has the edges of `x` with the edges of `y` removed. -/
instance sdiff : SDiff (SimpleGraph V) where
sdiff x y :=
{ Adj := x.Adj \ y.Adj
symm := fun v w h => by change x.Adj w v ∧ ¬y.Adj w v; rwa [x.adj_comm, y.adj_comm] }
@[simp]
theorem sdiff_adj (x y : SimpleGraph V) (v w : V) : (x \ y).Adj v w ↔ x.Adj v w ∧ ¬y.Adj v w :=
Iff.rfl
instance supSet : SupSet (SimpleGraph V) where
sSup s :=
{ Adj := fun a b => ∃ G ∈ s, Adj G a b
symm := fun _ _ => Exists.imp fun _ => And.imp_right Adj.symm
loopless := by
rintro a ⟨G, _, ha⟩
exact ha.ne rfl }
instance infSet : InfSet (SimpleGraph V) where
sInf s :=
{ Adj := fun a b => (∀ ⦃G⦄, G ∈ s → Adj G a b) ∧ a ≠ b
symm := fun _ _ => And.imp (forall₂_imp fun _ _ => Adj.symm) Ne.symm
loopless := fun _ h => h.2 rfl }
@[simp]
theorem sSup_adj {s : Set (SimpleGraph V)} {a b : V} : (sSup s).Adj a b ↔ ∃ G ∈ s, Adj G a b :=
Iff.rfl
@[simp]
theorem sInf_adj {s : Set (SimpleGraph V)} : (sInf s).Adj a b ↔ (∀ G ∈ s, Adj G a b) ∧ a ≠ b :=
Iff.rfl
@[simp]
theorem iSup_adj {f : ι → SimpleGraph V} : (⨆ i, f i).Adj a b ↔ ∃ i, (f i).Adj a b := by simp [iSup]
@[simp]
theorem iInf_adj {f : ι → SimpleGraph V} : (⨅ i, f i).Adj a b ↔ (∀ i, (f i).Adj a b) ∧ a ≠ b := by
simp [iInf]
theorem sInf_adj_of_nonempty {s : Set (SimpleGraph V)} (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 => (h _ hG).ne
theorem iInf_adj_of_nonempty [Nonempty ι] {f : ι → SimpleGraph V} :
(⨅ i, f i).Adj a b ↔ ∀ i, (f i).Adj a b := by
rw [iInf, sInf_adj_of_nonempty (Set.range_nonempty _), Set.forall_mem_range]
/-- For graphs `G`, `H`, `G ≤ H` iff `∀ a b, G.Adj a b → H.Adj a b`. -/
instance distribLattice : DistribLattice (SimpleGraph V) :=
{ show DistribLattice (SimpleGraph V) from
adj_injective.distribLattice _ (fun _ _ => rfl) fun _ _ => rfl with
le := fun G H => ∀ ⦃a b⦄, G.Adj a b → H.Adj a b }
instance completeAtomicBooleanAlgebra : CompleteAtomicBooleanAlgebra (SimpleGraph V) :=
{ SimpleGraph.distribLattice with
le := (· ≤ ·)
sup := (· ⊔ ·)
inf := (· ⊓ ·)
compl := HasCompl.compl
sdiff := (· \ ·)
top := completeGraph V
bot := emptyGraph V
le_top := fun x _ _ h => x.ne_of_adj h
bot_le := fun _ _ _ h => h.elim
sdiff_eq := fun x y => by
ext v w
refine ⟨fun h => ⟨h.1, ⟨?_, h.2⟩⟩, fun h => ⟨h.1, h.2.2⟩⟩
rintro rfl
exact x.irrefl h.1
inf_compl_le_bot := fun _ _ _ h => False.elim <| h.2.2 h.1
top_le_sup_compl := fun G v w hvw => by
by_cases h : G.Adj v w
· exact Or.inl h
· exact Or.inr ⟨hvw, h⟩
sSup := sSup
le_sSup := fun _ G hG _ _ hab => ⟨G, hG, hab⟩
sSup_le := fun s G hG a b => by
rintro ⟨H, hH, hab⟩
exact hG _ hH hab
sInf := sInf
sInf_le := fun _ _ hG _ _ hab => hab.1 hG
le_sInf := fun _ _ hG _ _ hab => ⟨fun _ hH => hG _ hH hab, hab.ne⟩
iInf_iSup_eq := fun f => by ext; simp [Classical.skolem] }
@[simp]
theorem top_adj (v w : V) : (⊤ : SimpleGraph V).Adj v w ↔ v ≠ w :=
Iff.rfl
@[simp]
theorem bot_adj (v w : V) : (⊥ : SimpleGraph V).Adj v w ↔ False :=
Iff.rfl
@[simp]
theorem completeGraph_eq_top (V : Type u) : completeGraph V = ⊤ :=
rfl
@[simp]
theorem emptyGraph_eq_bot (V : Type u) : emptyGraph V = ⊥ :=
rfl
@[simps]
instance (V : Type u) : Inhabited (SimpleGraph V) :=
⟨⊥⟩
instance [Subsingleton V] : Unique (SimpleGraph V) where
default := ⊥
uniq G := by ext a b; have := Subsingleton.elim a b; simp [this]
instance [Nontrivial V] : Nontrivial (SimpleGraph V) :=
⟨⟨⊥, ⊤, fun h ↦ not_subsingleton V ⟨by simpa only [← adj_inj, funext_iff, bot_adj,
top_adj, ne_eq, eq_iff_iff, false_iff, not_not] using h⟩⟩⟩
section Decidable
variable (V) (H : SimpleGraph V) [DecidableRel G.Adj] [DecidableRel H.Adj]
instance Bot.adjDecidable : DecidableRel (⊥ : SimpleGraph V).Adj :=
inferInstanceAs <| DecidableRel fun _ _ => False
instance Sup.adjDecidable : DecidableRel (G ⊔ H).Adj :=
inferInstanceAs <| DecidableRel fun v w => G.Adj v w ∨ H.Adj v w
instance Inf.adjDecidable : DecidableRel (G ⊓ H).Adj :=
inferInstanceAs <| DecidableRel fun v w => G.Adj v w ∧ H.Adj v w
instance Sdiff.adjDecidable : DecidableRel (G \ H).Adj :=
inferInstanceAs <| DecidableRel fun v w => G.Adj v w ∧ ¬H.Adj v w
variable [DecidableEq V]
instance Top.adjDecidable : DecidableRel (⊤ : SimpleGraph V).Adj :=
inferInstanceAs <| DecidableRel fun v w => v ≠ w
instance Compl.adjDecidable : DecidableRel (Gᶜ.Adj) :=
inferInstanceAs <| DecidableRel fun v w => v ≠ w ∧ ¬G.Adj v w
end Decidable
end Order
/-- `G.support` is the set of vertices that form edges in `G`. -/
def support : Set V :=
Rel.dom G.Adj
theorem mem_support {v : V} : v ∈ G.support ↔ ∃ w, G.Adj v w :=
Iff.rfl
theorem support_mono {G G' : SimpleGraph V} (h : G ≤ G') : G.support ⊆ G'.support :=
Rel.dom_mono h
/-- `G.neighborSet v` is the set of vertices adjacent to `v` in `G`. -/
def neighborSet (v : V) : Set V := {w | G.Adj v w}
instance neighborSet.memDecidable (v : V) [DecidableRel G.Adj] :
DecidablePred (· ∈ G.neighborSet v) :=
inferInstanceAs <| DecidablePred (Adj G v)
lemma neighborSet_subset_support (v : V) : G.neighborSet v ⊆ G.support :=
fun _ hadj ↦ ⟨v, hadj.symm⟩
section EdgeSet
variable {G₁ G₂ : SimpleGraph V}
/-- The edges of G consist of the unordered pairs of vertices related by
`G.Adj`. This is the order embedding; for the edge set of a particular graph, see
`SimpleGraph.edgeSet`.
The way `edgeSet` is defined is such that `mem_edgeSet` is proved by `Iff.rfl`.
(That is, `s(v, w) ∈ G.edgeSet` is definitionally equal to `G.Adj v w`.)
-/
-- Porting note: We need a separate definition so that dot notation works.
def edgeSetEmbedding (V : Type*) : SimpleGraph V ↪o Set (Sym2 V) :=
OrderEmbedding.ofMapLEIff (fun G => Sym2.fromRel G.symm) fun _ _ =>
⟨fun h a b => @h s(a, b), fun h e => Sym2.ind @h e⟩
/-- `G.edgeSet` is the edge set for `G`.
This is an abbreviation for `edgeSetEmbedding G` that permits dot notation. -/
abbrev edgeSet (G : SimpleGraph V) : Set (Sym2 V) := edgeSetEmbedding V G
@[simp]
theorem mem_edgeSet : s(v, w) ∈ G.edgeSet ↔ G.Adj v w :=
Iff.rfl
theorem not_isDiag_of_mem_edgeSet : e ∈ edgeSet G → ¬e.IsDiag :=
Sym2.ind (fun _ _ => Adj.ne) e
theorem edgeSet_inj : G₁.edgeSet = G₂.edgeSet ↔ G₁ = G₂ := (edgeSetEmbedding V).eq_iff_eq
@[simp]
theorem edgeSet_subset_edgeSet : edgeSet G₁ ⊆ edgeSet G₂ ↔ G₁ ≤ G₂ :=
(edgeSetEmbedding V).le_iff_le
@[simp]
theorem edgeSet_ssubset_edgeSet : edgeSet G₁ ⊂ edgeSet G₂ ↔ G₁ < G₂ :=
(edgeSetEmbedding V).lt_iff_lt
theorem edgeSet_injective : Injective (edgeSet : SimpleGraph V → Set (Sym2 V)) :=
(edgeSetEmbedding V).injective
alias ⟨_, edgeSet_mono⟩ := edgeSet_subset_edgeSet
alias ⟨_, edgeSet_strict_mono⟩ := edgeSet_ssubset_edgeSet
attribute [mono] edgeSet_mono edgeSet_strict_mono
variable (G₁ G₂)
@[simp]
theorem edgeSet_bot : (⊥ : SimpleGraph V).edgeSet = ∅ :=
Sym2.fromRel_bot
@[simp]
theorem edgeSet_top : (⊤ : SimpleGraph V).edgeSet = {e | ¬e.IsDiag} :=
Sym2.fromRel_ne
@[simp]
theorem edgeSet_subset_setOf_not_isDiag : G.edgeSet ⊆ {e | ¬e.IsDiag} :=
fun _ h => (Sym2.fromRel_irreflexive (sym := G.symm)).mp G.loopless h
@[simp]
theorem edgeSet_sup : (G₁ ⊔ G₂).edgeSet = G₁.edgeSet ∪ G₂.edgeSet := by
ext ⟨x, y⟩
rfl
@[simp]
theorem edgeSet_inf : (G₁ ⊓ G₂).edgeSet = G₁.edgeSet ∩ G₂.edgeSet := by
ext ⟨x, y⟩
rfl
@[simp]
theorem edgeSet_sdiff : (G₁ \ G₂).edgeSet = G₁.edgeSet \ G₂.edgeSet := by
ext ⟨x, y⟩
rfl
variable {G G₁ G₂}
@[simp] lemma disjoint_edgeSet : Disjoint G₁.edgeSet G₂.edgeSet ↔ Disjoint G₁ G₂ := by
rw [Set.disjoint_iff, disjoint_iff_inf_le, ← edgeSet_inf, ← edgeSet_bot, ← Set.le_iff_subset,
OrderEmbedding.le_iff_le]
@[simp] lemma edgeSet_eq_empty : G.edgeSet = ∅ ↔ G = ⊥ := by rw [← edgeSet_bot, edgeSet_inj]
@[simp] lemma edgeSet_nonempty : G.edgeSet.Nonempty ↔ G ≠ ⊥ := by
rw [Set.nonempty_iff_ne_empty, edgeSet_eq_empty.ne]
/-- This lemma, combined with `edgeSet_sdiff` and `edgeSet_from_edgeSet`,
allows proving `(G \ from_edgeSet s).edge_set = G.edgeSet \ s` by `simp`. -/
@[simp]
theorem edgeSet_sdiff_sdiff_isDiag (G : SimpleGraph V) (s : Set (Sym2 V)) :
G.edgeSet \ (s \ { e | e.IsDiag }) = G.edgeSet \ s := by
ext e
simp only [Set.mem_diff, Set.mem_setOf_eq, not_and, not_not, and_congr_right_iff]
intro h
simp only [G.not_isDiag_of_mem_edgeSet h, imp_false]
/-- Two vertices are adjacent iff there is an edge between them. The
condition `v ≠ w` ensures they are different endpoints of the edge,
which is necessary since when `v = w` the existential
`∃ (e ∈ G.edgeSet), v ∈ e ∧ w ∈ e` is satisfied by every edge
incident to `v`. -/
theorem adj_iff_exists_edge {v w : V} : G.Adj v w ↔ v ≠ w ∧ ∃ e ∈ G.edgeSet, v ∈ e ∧ w ∈ e := by
refine ⟨fun _ => ⟨G.ne_of_adj ‹_›, s(v, w), by simpa⟩, ?_⟩
rintro ⟨hne, e, he, hv⟩
rw [Sym2.mem_and_mem_iff hne] at hv
subst e
rwa [mem_edgeSet] at he
theorem adj_iff_exists_edge_coe : G.Adj a b ↔ ∃ e : G.edgeSet, e.val = s(a, b) := by
simp only [mem_edgeSet, exists_prop, SetCoe.exists, exists_eq_right, Subtype.coe_mk]
variable (G G₁ G₂)
theorem edge_other_ne {e : Sym2 V} (he : e ∈ G.edgeSet) {v : V} (h : v ∈ e) :
Sym2.Mem.other h ≠ v := by
rw [← Sym2.other_spec h, Sym2.eq_swap] at he
exact G.ne_of_adj he
instance decidableMemEdgeSet [DecidableRel G.Adj] : DecidablePred (· ∈ G.edgeSet) :=
Sym2.fromRel.decidablePred G.symm
instance fintypeEdgeSet [Fintype (Sym2 V)] [DecidableRel G.Adj] : Fintype G.edgeSet :=
Subtype.fintype _
instance fintypeEdgeSetBot : Fintype (⊥ : SimpleGraph V).edgeSet := by
rw [edgeSet_bot]
infer_instance
instance fintypeEdgeSetSup [DecidableEq V] [Fintype G₁.edgeSet] [Fintype G₂.edgeSet] :
Fintype (G₁ ⊔ G₂).edgeSet := by
rw [edgeSet_sup]
infer_instance
instance fintypeEdgeSetInf [DecidableEq V] [Fintype G₁.edgeSet] [Fintype G₂.edgeSet] :
Fintype (G₁ ⊓ G₂).edgeSet := by
rw [edgeSet_inf]
exact Set.fintypeInter _ _
instance fintypeEdgeSetSdiff [DecidableEq V] [Fintype G₁.edgeSet] [Fintype G₂.edgeSet] :
Fintype (G₁ \ G₂).edgeSet := by
rw [edgeSet_sdiff]
exact Set.fintypeDiff _ _
end EdgeSet
section FromEdgeSet
variable (s : Set (Sym2 V))
/-- `fromEdgeSet` constructs a `SimpleGraph` from a set of edges, without loops. -/
def fromEdgeSet : SimpleGraph V where
Adj := Sym2.ToRel s ⊓ Ne
symm _ _ h := ⟨Sym2.toRel_symmetric s h.1, h.2.symm⟩
@[simp]
theorem fromEdgeSet_adj : (fromEdgeSet s).Adj v w ↔ s(v, w) ∈ s ∧ v ≠ w :=
Iff.rfl
-- Note: we need to make sure `fromEdgeSet_adj` and this lemma are confluent.
-- In particular, both yield `s(u, v) ∈ (fromEdgeSet s).edgeSet` ==> `s(v, w) ∈ s ∧ v ≠ w`.
@[simp]
theorem edgeSet_fromEdgeSet : (fromEdgeSet s).edgeSet = s \ { e | e.IsDiag } := by
ext e
exact Sym2.ind (by simp) e
@[simp]
theorem fromEdgeSet_edgeSet : fromEdgeSet G.edgeSet = G := by
ext v w
exact ⟨fun h => h.1, fun h => ⟨h, G.ne_of_adj h⟩⟩
@[simp]
theorem fromEdgeSet_empty : fromEdgeSet (∅ : Set (Sym2 V)) = ⊥ := by
ext v w
simp only [fromEdgeSet_adj, Set.mem_empty_iff_false, false_and, bot_adj]
@[simp]
theorem fromEdgeSet_univ : fromEdgeSet (Set.univ : Set (Sym2 V)) = ⊤ := by
ext v w
simp only [fromEdgeSet_adj, Set.mem_univ, true_and, top_adj]
@[simp]
theorem fromEdgeSet_inter (s t : Set (Sym2 V)) :
fromEdgeSet (s ∩ t) = fromEdgeSet s ⊓ fromEdgeSet t := by
ext v w
simp only [fromEdgeSet_adj, Set.mem_inter_iff, Ne, inf_adj]
tauto
@[simp]
theorem fromEdgeSet_union (s t : Set (Sym2 V)) :
fromEdgeSet (s ∪ t) = fromEdgeSet s ⊔ fromEdgeSet t := by
ext v w
simp [Set.mem_union, or_and_right]
@[simp]
theorem fromEdgeSet_sdiff (s t : Set (Sym2 V)) :
fromEdgeSet (s \ t) = fromEdgeSet s \ fromEdgeSet t := by
ext v w
constructor <;> simp +contextual
@[gcongr, mono]
theorem fromEdgeSet_mono {s t : Set (Sym2 V)} (h : s ⊆ t) : fromEdgeSet s ≤ fromEdgeSet t := by
rintro v w
simp +contextual only [fromEdgeSet_adj, Ne, not_false_iff,
and_true, and_imp]
exact fun vws _ => h vws
@[simp] lemma disjoint_fromEdgeSet : Disjoint G (fromEdgeSet s) ↔ Disjoint G.edgeSet s := by
conv_rhs => rw [← Set.diff_union_inter s {e : Sym2 V | e.IsDiag}]
rw [← disjoint_edgeSet, edgeSet_fromEdgeSet, Set.disjoint_union_right, and_iff_left]
exact Set.disjoint_left.2 fun e he he' ↦ not_isDiag_of_mem_edgeSet _ he he'.2
@[simp] lemma fromEdgeSet_disjoint : Disjoint (fromEdgeSet s) G ↔ Disjoint s G.edgeSet := by
rw [disjoint_comm, disjoint_fromEdgeSet, disjoint_comm]
instance [DecidableEq V] [Fintype s] : Fintype (fromEdgeSet s).edgeSet := by
rw [edgeSet_fromEdgeSet s]
infer_instance
end FromEdgeSet
/-! ### Incidence set -/
/-- Set of edges incident to a given vertex, aka incidence set. -/
def incidenceSet (v : V) : Set (Sym2 V) :=
{ e ∈ G.edgeSet | v ∈ e }
theorem incidenceSet_subset (v : V) : G.incidenceSet v ⊆ G.edgeSet := fun _ h => h.1
theorem mk'_mem_incidenceSet_iff : s(b, c) ∈ G.incidenceSet a ↔ G.Adj b c ∧ (a = b ∨ a = c) :=
and_congr_right' Sym2.mem_iff
theorem mk'_mem_incidenceSet_left_iff : s(a, b) ∈ G.incidenceSet a ↔ G.Adj a b :=
and_iff_left <| Sym2.mem_mk_left _ _
theorem mk'_mem_incidenceSet_right_iff : s(a, b) ∈ G.incidenceSet b ↔ G.Adj a b :=
and_iff_left <| Sym2.mem_mk_right _ _
theorem edge_mem_incidenceSet_iff {e : G.edgeSet} : ↑e ∈ G.incidenceSet a ↔ a ∈ (e : Sym2 V) :=
and_iff_right e.2
theorem incidenceSet_inter_incidenceSet_subset (h : a ≠ b) :
G.incidenceSet a ∩ G.incidenceSet b ⊆ {s(a, b)} := fun _e he =>
(Sym2.mem_and_mem_iff h).1 ⟨he.1.2, he.2.2⟩
theorem incidenceSet_inter_incidenceSet_of_adj (h : G.Adj a b) :
G.incidenceSet a ∩ G.incidenceSet b = {s(a, b)} := by
refine (G.incidenceSet_inter_incidenceSet_subset <| h.ne).antisymm ?_
rintro _ (rfl : _ = s(a, b))
exact ⟨G.mk'_mem_incidenceSet_left_iff.2 h, G.mk'_mem_incidenceSet_right_iff.2 h⟩
theorem adj_of_mem_incidenceSet (h : a ≠ b) (ha : e ∈ G.incidenceSet a)
(hb : e ∈ G.incidenceSet b) : G.Adj a b := by
rwa [← mk'_mem_incidenceSet_left_iff, ←
Set.mem_singleton_iff.1 <| G.incidenceSet_inter_incidenceSet_subset h ⟨ha, hb⟩]
theorem incidenceSet_inter_incidenceSet_of_not_adj (h : ¬G.Adj a b) (hn : a ≠ b) :
G.incidenceSet a ∩ G.incidenceSet b = ∅ := by
simp_rw [Set.eq_empty_iff_forall_not_mem, Set.mem_inter_iff, not_and]
intro u ha hb
exact h (G.adj_of_mem_incidenceSet hn ha hb)
instance decidableMemIncidenceSet [DecidableEq V] [DecidableRel G.Adj] (v : V) :
DecidablePred (· ∈ G.incidenceSet v) :=
inferInstanceAs <| DecidablePred fun e => e ∈ G.edgeSet ∧ v ∈ e
@[simp]
theorem mem_neighborSet (v w : V) : w ∈ G.neighborSet v ↔ G.Adj v w :=
Iff.rfl
lemma not_mem_neighborSet_self : a ∉ G.neighborSet a := by simp
@[simp]
theorem mem_incidenceSet (v w : V) : s(v, w) ∈ G.incidenceSet v ↔ G.Adj v w := by
simp [incidenceSet]
theorem mem_incidence_iff_neighbor {v w : V} :
s(v, w) ∈ G.incidenceSet v ↔ w ∈ G.neighborSet v := by
simp only [mem_incidenceSet, mem_neighborSet]
theorem adj_incidenceSet_inter {v : V} {e : Sym2 V} (he : e ∈ G.edgeSet) (h : v ∈ e) :
G.incidenceSet v ∩ G.incidenceSet (Sym2.Mem.other h) = {e} := by
ext e'
simp only [incidenceSet, Set.mem_sep_iff, Set.mem_inter_iff, Set.mem_singleton_iff]
refine ⟨fun h' => ?_, ?_⟩
· rw [← Sym2.other_spec h]
exact (Sym2.mem_and_mem_iff (edge_other_ne G he h).symm).mp ⟨h'.1.2, h'.2.2⟩
· rintro rfl
exact ⟨⟨he, h⟩, he, Sym2.other_mem _⟩
theorem compl_neighborSet_disjoint (G : SimpleGraph V) (v : V) :
Disjoint (G.neighborSet v) (Gᶜ.neighborSet v) := by
rw [Set.disjoint_iff]
rintro w ⟨h, h'⟩
rw [mem_neighborSet, compl_adj] at h'
exact h'.2 h
theorem neighborSet_union_compl_neighborSet_eq (G : SimpleGraph V) (v : V) :
G.neighborSet v ∪ Gᶜ.neighborSet v = {v}ᶜ := by
ext w
have h := @ne_of_adj _ G
simp_rw [Set.mem_union, mem_neighborSet, compl_adj, Set.mem_compl_iff, Set.mem_singleton_iff]
tauto
theorem card_neighborSet_union_compl_neighborSet [Fintype V] (G : SimpleGraph V) (v : V)
[Fintype (G.neighborSet v ∪ Gᶜ.neighborSet v : Set V)] :
#(G.neighborSet v ∪ Gᶜ.neighborSet v).toFinset = Fintype.card V - 1 := by
classical simp_rw [neighborSet_union_compl_neighborSet_eq, Set.toFinset_compl,
Finset.card_compl, Set.toFinset_card, Set.card_singleton]
theorem neighborSet_compl (G : SimpleGraph V) (v : V) :
Gᶜ.neighborSet v = (G.neighborSet v)ᶜ \ {v} := by
ext w
simp [and_comm, eq_comm]
/-- The set of common neighbors between two vertices `v` and `w` in a graph `G` is the
intersection of the neighbor sets of `v` and `w`. -/
def commonNeighbors (v w : V) : Set V :=
G.neighborSet v ∩ G.neighborSet w
theorem commonNeighbors_eq (v w : V) : G.commonNeighbors v w = G.neighborSet v ∩ G.neighborSet w :=
rfl
theorem mem_commonNeighbors {u v w : V} : u ∈ G.commonNeighbors v w ↔ G.Adj v u ∧ G.Adj w u :=
Iff.rfl
theorem commonNeighbors_symm (v w : V) : G.commonNeighbors v w = G.commonNeighbors w v :=
Set.inter_comm _ _
theorem not_mem_commonNeighbors_left (v w : V) : v ∉ G.commonNeighbors v w := fun h =>
ne_of_adj G h.1 rfl
theorem not_mem_commonNeighbors_right (v w : V) : w ∉ G.commonNeighbors v w := fun h =>
ne_of_adj G h.2 rfl
theorem commonNeighbors_subset_neighborSet_left (v w : V) :
G.commonNeighbors v w ⊆ G.neighborSet v :=
Set.inter_subset_left
theorem commonNeighbors_subset_neighborSet_right (v w : V) :
G.commonNeighbors v w ⊆ G.neighborSet w :=
Set.inter_subset_right
|
instance decidableMemCommonNeighbors [DecidableRel G.Adj] (v w : V) :
DecidablePred (· ∈ G.commonNeighbors v w) :=
inferInstanceAs <| DecidablePred fun u => u ∈ G.neighborSet v ∧ u ∈ G.neighborSet w
| Mathlib/Combinatorics/SimpleGraph/Basic.lean | 752 | 756 |
/-
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 | 1,286 | 1,310 | |
/-
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.Data.Nat.Basic
import Mathlib.Data.Nat.BinaryRec
import Mathlib.Data.List.Defs
import Mathlib.Tactic.Convert
import Mathlib.Tactic.GeneralizeProofs
import Mathlib.Tactic.Says
/-!
# Additional properties of binary recursion on `Nat`
This file documents additional properties of binary recursion,
which allows us to more easily work with operations which do depend
on the number of leading zeros in the binary representation of `n`.
For example, we can more easily work with `Nat.bits` and `Nat.size`.
See also: `Nat.bitwise`, `Nat.pow` (for various lemmas about `size` and `shiftLeft`/`shiftRight`),
and `Nat.digits`.
-/
assert_not_exists Monoid
-- Once we're in the `Nat` namespace, `xor` will inconveniently resolve to `Nat.xor`.
/-- `bxor` denotes the `xor` function i.e. the exclusive-or function on type `Bool`. -/
local notation "bxor" => xor
namespace Nat
universe u
variable {m n : ℕ}
/-- `boddDiv2 n` returns a 2-tuple of type `(Bool, Nat)` where the `Bool` value indicates whether
`n` is odd or not and the `Nat` value returns `⌊n/2⌋` -/
def boddDiv2 : ℕ → Bool × ℕ
| 0 => (false, 0)
| succ n =>
match boddDiv2 n with
| (false, m) => (true, m)
| (true, m) => (false, succ m)
/-- `div2 n = ⌊n/2⌋` the greatest integer smaller than `n/2` -/
def div2 (n : ℕ) : ℕ := (boddDiv2 n).2
/-- `bodd n` returns `true` if `n` is odd -/
def bodd (n : ℕ) : Bool := (boddDiv2 n).1
@[simp] lemma bodd_zero : bodd 0 = false := rfl
@[simp] lemma bodd_one : bodd 1 = true := rfl
lemma bodd_two : bodd 2 = false := rfl
@[simp]
lemma bodd_succ (n : ℕ) : bodd (succ n) = not (bodd n) := by
simp only [bodd, boddDiv2]
let ⟨b,m⟩ := boddDiv2 n
cases b <;> rfl
@[simp]
lemma bodd_add (m n : ℕ) : bodd (m + n) = bxor (bodd m) (bodd n) := by
induction n
case zero => simp
case succ n ih => simp [← Nat.add_assoc, Bool.xor_not, ih]
@[simp]
lemma bodd_mul (m n : ℕ) : bodd (m * n) = (bodd m && bodd n) := by
induction n with
| zero => simp
| succ n IH =>
simp only [mul_succ, bodd_add, IH, bodd_succ]
cases bodd m <;> cases bodd n <;> rfl
lemma mod_two_of_bodd (n : ℕ) : n % 2 = (bodd n).toNat := by
have := congr_arg bodd (mod_add_div n 2)
simp? [not] at this says
simp only [bodd_add, bodd_mul, bodd_succ, not, bodd_zero, Bool.false_and, Bool.bne_false]
at this
have _ : ∀ b, and false b = false := by
intro b
cases b <;> rfl
have _ : ∀ b, bxor b false = b := by
intro b
cases b <;> rfl
rw [← this]
rcases mod_two_eq_zero_or_one n with h | h <;> rw [h] <;> rfl
@[simp] lemma div2_zero : div2 0 = 0 := rfl
@[simp] lemma div2_one : div2 1 = 0 := rfl
lemma div2_two : div2 2 = 1 := rfl
@[simp]
lemma div2_succ (n : ℕ) : div2 (n + 1) = cond (bodd n) (succ (div2 n)) (div2 n) := by
simp only [bodd, boddDiv2, div2]
rcases boddDiv2 n with ⟨_|_, _⟩ <;> simp
attribute [local simp] Nat.add_comm Nat.add_assoc Nat.add_left_comm Nat.mul_comm Nat.mul_assoc
lemma bodd_add_div2 : ∀ n, (bodd n).toNat + 2 * div2 n = n
| 0 => rfl
| succ n => by
simp only [bodd_succ, Bool.cond_not, div2_succ, Nat.mul_comm]
refine Eq.trans ?_ (congr_arg succ (bodd_add_div2 n))
cases bodd n
· simp
· simp; omega
lemma div2_val (n) : div2 n = n / 2 := by
refine Nat.eq_of_mul_eq_mul_left (by decide)
(Nat.add_left_cancel (Eq.trans ?_ (Nat.mod_add_div n 2).symm))
rw [mod_two_of_bodd, bodd_add_div2]
lemma bit_decomp (n : Nat) : bit (bodd n) (div2 n) = n :=
(bit_val _ _).trans <| (Nat.add_comm _ _).trans <| bodd_add_div2 _
lemma bit_zero : bit false 0 = 0 :=
rfl
/-- `shiftLeft' b m n` performs a left shift of `m` `n` times
and adds the bit `b` as the least significant bit each time.
Returns the corresponding natural number -/
def shiftLeft' (b : Bool) (m : ℕ) : ℕ → ℕ
| 0 => m
| n + 1 => bit b (shiftLeft' b m n)
@[simp]
lemma shiftLeft'_false : ∀ n, shiftLeft' false m n = m <<< n
| 0 => rfl
| n + 1 => by
have : 2 * (m * 2^n) = 2^(n+1)*m := by
rw [Nat.mul_comm, Nat.mul_assoc, ← Nat.pow_succ]; simp
simp [shiftLeft_eq, shiftLeft', bit_val, shiftLeft'_false, this]
/-- Lean takes the unprimed name for `Nat.shiftLeft_eq m n : m <<< n = m * 2 ^ n`. -/
@[simp] lemma shiftLeft_eq' (m n : Nat) : shiftLeft m n = m <<< n := rfl
@[simp] lemma shiftRight_eq (m n : Nat) : shiftRight m n = m >>> n := rfl
lemma binaryRec_decreasing (h : n ≠ 0) : div2 n < n := by
rw [div2_val]
apply (div_lt_iff_lt_mul <| succ_pos 1).2
have := Nat.mul_lt_mul_of_pos_left (lt_succ_self 1)
(lt_of_le_of_ne n.zero_le h.symm)
rwa [Nat.mul_one] at this
/-- `size n` : Returns the size of a natural number in
bits i.e. the length of its binary representation -/
def size : ℕ → ℕ :=
binaryRec 0 fun _ _ => succ
/-- `bits n` returns a list of Bools which correspond to the binary representation of n, where
the head of the list represents the least significant bit -/
def bits : ℕ → List Bool :=
binaryRec [] fun b _ IH => b :: IH
/-- `ldiff a b` performs bitwise set difference. For each corresponding
pair of bits taken as booleans, say `aᵢ` and `bᵢ`, it applies the
boolean operation `aᵢ ∧ ¬bᵢ` to obtain the `iᵗʰ` bit of the result. -/
def ldiff : ℕ → ℕ → ℕ :=
bitwise fun a b => a && not b
/-! bitwise ops -/
lemma bodd_bit (b n) : bodd (bit b n) = b := by
rw [bit_val]
simp only [Nat.mul_comm, Nat.add_comm, bodd_add, bodd_mul, bodd_succ, bodd_zero, Bool.not_false,
Bool.not_true, Bool.and_false, Bool.xor_false]
cases b <;> cases bodd n <;> rfl
lemma div2_bit (b n) : div2 (bit b n) = n := by
rw [bit_val, div2_val, Nat.add_comm, add_mul_div_left, div_eq_of_lt, Nat.zero_add]
<;> cases b
<;> decide
lemma shiftLeft'_add (b m n) : ∀ k, shiftLeft' b m (n + k) = shiftLeft' b (shiftLeft' b m n) k
| 0 => rfl
| k + 1 => congr_arg (bit b) (shiftLeft'_add b m n k)
lemma shiftLeft'_sub (b m) : ∀ {n k}, k ≤ n → shiftLeft' b m (n - k) = (shiftLeft' b m n) >>> k
| _, 0, _ => rfl
| n + 1, k + 1, h => by
rw [succ_sub_succ_eq_sub, shiftLeft', Nat.add_comm, shiftRight_add]
simp only [shiftLeft'_sub, Nat.le_of_succ_le_succ h, shiftRight_succ, shiftRight_zero]
simp [← div2_val, div2_bit]
lemma shiftLeft_sub : ∀ (m : Nat) {n k}, k ≤ n → m <<< (n - k) = (m <<< n) >>> k :=
fun _ _ _ hk => by simp only [← shiftLeft'_false, shiftLeft'_sub false _ hk]
lemma bodd_eq_one_and_ne_zero : ∀ n, bodd n = (1 &&& n != 0)
| 0 => rfl
| 1 => rfl
| n + 2 => by simpa using bodd_eq_one_and_ne_zero n
lemma testBit_bit_succ (m b n) : testBit (bit b n) (succ m) = testBit n m := by
have : bodd (((bit b n) >>> 1) >>> m) = bodd (n >>> m) := by
simp only [shiftRight_eq_div_pow]
simp [← div2_val, div2_bit]
rw [← shiftRight_add, Nat.add_comm] at this
simp only [bodd_eq_one_and_ne_zero] at this
exact this
/-! ### `boddDiv2_eq` and `bodd` -/
@[simp]
theorem boddDiv2_eq (n : ℕ) : boddDiv2 n = (bodd n, div2 n) := rfl
@[simp]
theorem div2_bit0 (n) : div2 (2 * n) = n :=
div2_bit false n
-- simp can prove this
theorem div2_bit1 (n) : div2 (2 * n + 1) = n :=
div2_bit true n
/-! ### `bit0` and `bit1` -/
theorem bit_add : ∀ (b : Bool) (n m : ℕ), bit b (n + m) = bit false n + bit b m
| true, _, _ => by dsimp [bit]; omega
| false, _, _ => by dsimp [bit]; omega
theorem bit_add' : ∀ (b : Bool) (n m : ℕ), bit b (n + m) = bit b n + bit false m
| true, _, _ => by dsimp [bit]; omega
| false, _, _ => by dsimp [bit]; omega
theorem bit_ne_zero (b) {n} (h : n ≠ 0) : bit b n ≠ 0 := by
cases b <;> dsimp [bit] <;> omega
@[simp]
theorem bitCasesOn_bit0 {motive : ℕ → Sort u} (H : ∀ b n, motive (bit b n)) (n : ℕ) :
bitCasesOn (2 * n) H = H false n :=
bitCasesOn_bit H false n
@[simp]
theorem bitCasesOn_bit1 {motive : ℕ → Sort u} (H : ∀ b n, motive (bit b n)) (n : ℕ) :
bitCasesOn (2 * n + 1) H = H true n :=
bitCasesOn_bit H true n
theorem bit_cases_on_injective {motive : ℕ → Sort u} :
Function.Injective fun H : ∀ b n, motive (bit b n) => fun n => bitCasesOn n H := by
intro H₁ H₂ h
ext b n
simpa only [bitCasesOn_bit] using congr_fun h (bit b n)
@[simp]
theorem bit_cases_on_inj {motive : ℕ → Sort u} (H₁ H₂ : ∀ b n, motive (bit b n)) :
((fun n => bitCasesOn n H₁) = fun n => bitCasesOn n H₂) ↔ H₁ = H₂ :=
bit_cases_on_injective.eq_iff
lemma bit_le : ∀ (b : Bool) {m n : ℕ}, m ≤ n → bit b m ≤ bit b n
| true, _, _, h => by dsimp [bit]; omega
| false, _, _, h => by dsimp [bit]; omega
lemma bit_lt_bit (a b) (h : m < n) : bit a m < bit b n := calc
bit a m < 2 * n := by cases a <;> dsimp [bit] <;> omega
_ ≤ bit b n := by cases b <;> dsimp [bit] <;> omega
@[simp]
theorem zero_bits : bits 0 = [] := by simp [Nat.bits]
@[simp]
theorem bits_append_bit (n : ℕ) (b : Bool) (hn : n = 0 → b = true) :
(bit b n).bits = b :: n.bits := by
rw [Nat.bits, Nat.bits, binaryRec_eq]
simpa
@[simp]
theorem bit0_bits (n : ℕ) (hn : n ≠ 0) : (2 * n).bits = false :: n.bits :=
bits_append_bit n false fun hn' => absurd hn' hn
@[simp]
theorem bit1_bits (n : ℕ) : (2 * n + 1).bits = true :: n.bits :=
bits_append_bit n true fun _ => rfl
| @[simp]
theorem one_bits : Nat.bits 1 = [true] := by
| Mathlib/Data/Nat/Bits.lean | 278 | 279 |
/-
Copyright (c) 2022 Joseph Myers. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Joseph Myers, Heather Macbeth
-/
import Mathlib.Analysis.InnerProductSpace.TwoDim
import Mathlib.Geometry.Euclidean.Angle.Unoriented.Basic
/-!
# Oriented angles.
This file defines oriented angles in real inner product spaces.
## Main definitions
* `Orientation.oangle` is the oriented angle between two vectors with respect to an orientation.
## Implementation notes
The definitions here use the `Real.angle` type, angles modulo `2 * π`. For some purposes,
angles modulo `π` are more convenient, because results are true for such angles with less
configuration dependence. Results that are only equalities modulo `π` can be represented
modulo `2 * π` as equalities of `(2 : ℤ) • θ`.
## References
* Evan Chen, Euclidean Geometry in Mathematical Olympiads.
-/
noncomputable section
open Module Complex
open scoped Real RealInnerProductSpace ComplexConjugate
namespace Orientation
attribute [local instance] Complex.finrank_real_complex_fact
variable {V V' : Type*}
variable [NormedAddCommGroup V] [NormedAddCommGroup V']
variable [InnerProductSpace ℝ V] [InnerProductSpace ℝ V']
variable [Fact (finrank ℝ V = 2)] [Fact (finrank ℝ V' = 2)] (o : Orientation ℝ V (Fin 2))
local notation "ω" => o.areaForm
/-- The oriented angle from `x` to `y`, modulo `2 * π`. If either vector is 0, this is 0.
See `InnerProductGeometry.angle` for the corresponding unoriented angle definition. -/
def oangle (x y : V) : Real.Angle :=
Complex.arg (o.kahler x y)
/-- Oriented angles are continuous when the vectors involved are nonzero. -/
@[fun_prop]
theorem continuousAt_oangle {x : V × V} (hx1 : x.1 ≠ 0) (hx2 : x.2 ≠ 0) :
ContinuousAt (fun y : V × V => o.oangle y.1 y.2) x := by
refine (Complex.continuousAt_arg_coe_angle ?_).comp ?_
· exact o.kahler_ne_zero hx1 hx2
exact ((continuous_ofReal.comp continuous_inner).add
((continuous_ofReal.comp o.areaForm'.continuous₂).mul continuous_const)).continuousAt
/-- If the first vector passed to `oangle` is 0, the result is 0. -/
@[simp]
theorem oangle_zero_left (x : V) : o.oangle 0 x = 0 := by simp [oangle]
/-- If the second vector passed to `oangle` is 0, the result is 0. -/
@[simp]
theorem oangle_zero_right (x : V) : o.oangle x 0 = 0 := by simp [oangle]
/-- If the two vectors passed to `oangle` are the same, the result is 0. -/
@[simp]
theorem oangle_self (x : V) : o.oangle x x = 0 := by
rw [oangle, kahler_apply_self, ← ofReal_pow]
convert QuotientAddGroup.mk_zero (AddSubgroup.zmultiples (2 * π))
apply arg_ofReal_of_nonneg
positivity
/-- If the angle between two vectors is nonzero, the first vector is nonzero. -/
theorem left_ne_zero_of_oangle_ne_zero {x y : V} (h : o.oangle x y ≠ 0) : x ≠ 0 := by
rintro rfl; simp at h
/-- If the angle between two vectors is nonzero, the second vector is nonzero. -/
theorem right_ne_zero_of_oangle_ne_zero {x y : V} (h : o.oangle x y ≠ 0) : y ≠ 0 := by
rintro rfl; simp at h
/-- If the angle between two vectors is nonzero, the vectors are not equal. -/
theorem ne_of_oangle_ne_zero {x y : V} (h : o.oangle x y ≠ 0) : x ≠ y := by
rintro rfl; simp at h
/-- If the angle between two vectors is `π`, the first vector is nonzero. -/
theorem left_ne_zero_of_oangle_eq_pi {x y : V} (h : o.oangle x y = π) : x ≠ 0 :=
o.left_ne_zero_of_oangle_ne_zero (h.symm ▸ Real.Angle.pi_ne_zero : o.oangle x y ≠ 0)
/-- If the angle between two vectors is `π`, the second vector is nonzero. -/
theorem right_ne_zero_of_oangle_eq_pi {x y : V} (h : o.oangle x y = π) : y ≠ 0 :=
o.right_ne_zero_of_oangle_ne_zero (h.symm ▸ Real.Angle.pi_ne_zero : o.oangle x y ≠ 0)
/-- If the angle between two vectors is `π`, the vectors are not equal. -/
theorem ne_of_oangle_eq_pi {x y : V} (h : o.oangle x y = π) : x ≠ y :=
o.ne_of_oangle_ne_zero (h.symm ▸ Real.Angle.pi_ne_zero : o.oangle x y ≠ 0)
/-- If the angle between two vectors is `π / 2`, the first vector is nonzero. -/
theorem left_ne_zero_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = (π / 2 : ℝ)) : x ≠ 0 :=
o.left_ne_zero_of_oangle_ne_zero (h.symm ▸ Real.Angle.pi_div_two_ne_zero : o.oangle x y ≠ 0)
/-- If the angle between two vectors is `π / 2`, the second vector is nonzero. -/
theorem right_ne_zero_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = (π / 2 : ℝ)) : y ≠ 0 :=
o.right_ne_zero_of_oangle_ne_zero (h.symm ▸ Real.Angle.pi_div_two_ne_zero : o.oangle x y ≠ 0)
/-- If the angle between two vectors is `π / 2`, the vectors are not equal. -/
theorem ne_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = (π / 2 : ℝ)) : x ≠ y :=
o.ne_of_oangle_ne_zero (h.symm ▸ Real.Angle.pi_div_two_ne_zero : o.oangle x y ≠ 0)
/-- If the angle between two vectors is `-π / 2`, the first vector is nonzero. -/
theorem left_ne_zero_of_oangle_eq_neg_pi_div_two {x y : V} (h : o.oangle x y = (-π / 2 : ℝ)) :
x ≠ 0 :=
o.left_ne_zero_of_oangle_ne_zero (h.symm ▸ Real.Angle.neg_pi_div_two_ne_zero : o.oangle x y ≠ 0)
/-- If the angle between two vectors is `-π / 2`, the second vector is nonzero. -/
theorem right_ne_zero_of_oangle_eq_neg_pi_div_two {x y : V} (h : o.oangle x y = (-π / 2 : ℝ)) :
y ≠ 0 :=
o.right_ne_zero_of_oangle_ne_zero (h.symm ▸ Real.Angle.neg_pi_div_two_ne_zero : o.oangle x y ≠ 0)
/-- If the angle between two vectors is `-π / 2`, the vectors are not equal. -/
theorem ne_of_oangle_eq_neg_pi_div_two {x y : V} (h : o.oangle x y = (-π / 2 : ℝ)) : x ≠ y :=
o.ne_of_oangle_ne_zero (h.symm ▸ Real.Angle.neg_pi_div_two_ne_zero : o.oangle x y ≠ 0)
/-- If the sign of the angle between two vectors is nonzero, the first vector is nonzero. -/
theorem left_ne_zero_of_oangle_sign_ne_zero {x y : V} (h : (o.oangle x y).sign ≠ 0) : x ≠ 0 :=
o.left_ne_zero_of_oangle_ne_zero (Real.Angle.sign_ne_zero_iff.1 h).1
/-- If the sign of the angle between two vectors is nonzero, the second vector is nonzero. -/
theorem right_ne_zero_of_oangle_sign_ne_zero {x y : V} (h : (o.oangle x y).sign ≠ 0) : y ≠ 0 :=
o.right_ne_zero_of_oangle_ne_zero (Real.Angle.sign_ne_zero_iff.1 h).1
/-- If the sign of the angle between two vectors is nonzero, the vectors are not equal. -/
theorem ne_of_oangle_sign_ne_zero {x y : V} (h : (o.oangle x y).sign ≠ 0) : x ≠ y :=
o.ne_of_oangle_ne_zero (Real.Angle.sign_ne_zero_iff.1 h).1
/-- If the sign of the angle between two vectors is positive, the first vector is nonzero. -/
theorem left_ne_zero_of_oangle_sign_eq_one {x y : V} (h : (o.oangle x y).sign = 1) : x ≠ 0 :=
o.left_ne_zero_of_oangle_sign_ne_zero (h.symm ▸ by decide : (o.oangle x y).sign ≠ 0)
/-- If the sign of the angle between two vectors is positive, the second vector is nonzero. -/
theorem right_ne_zero_of_oangle_sign_eq_one {x y : V} (h : (o.oangle x y).sign = 1) : y ≠ 0 :=
o.right_ne_zero_of_oangle_sign_ne_zero (h.symm ▸ by decide : (o.oangle x y).sign ≠ 0)
/-- If the sign of the angle between two vectors is positive, the vectors are not equal. -/
theorem ne_of_oangle_sign_eq_one {x y : V} (h : (o.oangle x y).sign = 1) : x ≠ y :=
o.ne_of_oangle_sign_ne_zero (h.symm ▸ by decide : (o.oangle x y).sign ≠ 0)
/-- If the sign of the angle between two vectors is negative, the first vector is nonzero. -/
theorem left_ne_zero_of_oangle_sign_eq_neg_one {x y : V} (h : (o.oangle x y).sign = -1) : x ≠ 0 :=
o.left_ne_zero_of_oangle_sign_ne_zero (h.symm ▸ by decide : (o.oangle x y).sign ≠ 0)
/-- If the sign of the angle between two vectors is negative, the second vector is nonzero. -/
theorem right_ne_zero_of_oangle_sign_eq_neg_one {x y : V} (h : (o.oangle x y).sign = -1) : y ≠ 0 :=
o.right_ne_zero_of_oangle_sign_ne_zero (h.symm ▸ by decide : (o.oangle x y).sign ≠ 0)
/-- If the sign of the angle between two vectors is negative, the vectors are not equal. -/
theorem ne_of_oangle_sign_eq_neg_one {x y : V} (h : (o.oangle x y).sign = -1) : x ≠ y :=
o.ne_of_oangle_sign_ne_zero (h.symm ▸ by decide : (o.oangle x y).sign ≠ 0)
/-- Swapping the two vectors passed to `oangle` negates the angle. -/
theorem oangle_rev (x y : V) : o.oangle y x = -o.oangle x y := by
simp only [oangle, o.kahler_swap y x, Complex.arg_conj_coe_angle]
/-- Adding the angles between two vectors in each order results in 0. -/
@[simp]
theorem oangle_add_oangle_rev (x y : V) : o.oangle x y + o.oangle y x = 0 := by
simp [o.oangle_rev y x]
/-- Negating the first vector passed to `oangle` adds `π` to the angle. -/
theorem oangle_neg_left {x y : V} (hx : x ≠ 0) (hy : y ≠ 0) :
o.oangle (-x) y = o.oangle x y + π := by
simp only [oangle, map_neg]
convert Complex.arg_neg_coe_angle _
exact o.kahler_ne_zero hx hy
/-- Negating the second vector passed to `oangle` adds `π` to the angle. -/
theorem oangle_neg_right {x y : V} (hx : x ≠ 0) (hy : y ≠ 0) :
o.oangle x (-y) = o.oangle x y + π := by
simp only [oangle, map_neg]
convert Complex.arg_neg_coe_angle _
exact o.kahler_ne_zero hx hy
/-- Negating the first vector passed to `oangle` does not change twice the angle. -/
@[simp]
theorem two_zsmul_oangle_neg_left (x y : V) :
(2 : ℤ) • o.oangle (-x) y = (2 : ℤ) • o.oangle x y := by
by_cases hx : x = 0
· simp [hx]
· by_cases hy : y = 0
· simp [hy]
· simp [o.oangle_neg_left hx hy]
/-- Negating the second vector passed to `oangle` does not change twice the angle. -/
@[simp]
theorem two_zsmul_oangle_neg_right (x y : V) :
(2 : ℤ) • o.oangle x (-y) = (2 : ℤ) • o.oangle x y := by
by_cases hx : x = 0
· simp [hx]
| · by_cases hy : y = 0
· simp [hy]
· simp [o.oangle_neg_right hx hy]
/-- Negating both vectors passed to `oangle` does not change the angle. -/
| Mathlib/Geometry/Euclidean/Angle/Oriented/Basic.lean | 204 | 208 |
/-
Copyright (c) 2014 Robert Y. Lewis. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Robert Y. Lewis, Leonardo de Moura, Johannes Hölzl, Mario Carneiro
-/
import Mathlib.Algebra.Field.Defs
import Mathlib.Algebra.Ring.Commute
import Mathlib.Algebra.Ring.Invertible
import Mathlib.Order.Synonym
/-!
# Lemmas about division (semi)rings and (semi)fields
-/
open Function OrderDual Set
universe u
variable {K L : Type*}
section DivisionSemiring
variable [DivisionSemiring K] {a b c d : K}
theorem add_div (a b c : K) : (a + b) / c = a / c + b / c := by simp_rw [div_eq_mul_inv, add_mul]
@[field_simps]
theorem div_add_div_same (a b c : K) : a / c + b / c = (a + b) / c :=
(add_div _ _ _).symm
theorem same_add_div (h : b ≠ 0) : (b + a) / b = 1 + a / b := by rw [← div_self h, add_div]
theorem div_add_same (h : b ≠ 0) : (a + b) / b = a / b + 1 := by rw [← div_self h, add_div]
theorem one_add_div (h : b ≠ 0) : 1 + a / b = (b + a) / b :=
(same_add_div h).symm
theorem div_add_one (h : b ≠ 0) : a / b + 1 = (a + b) / b :=
(div_add_same h).symm
/-- See `inv_add_inv` for the more convenient version when `K` is commutative. -/
theorem inv_add_inv' (ha : a ≠ 0) (hb : b ≠ 0) :
a⁻¹ + b⁻¹ = a⁻¹ * (a + b) * b⁻¹ :=
let _ := invertibleOfNonzero ha; let _ := invertibleOfNonzero hb; invOf_add_invOf a b
theorem one_div_mul_add_mul_one_div_eq_one_div_add_one_div (ha : a ≠ 0) (hb : b ≠ 0) :
1 / a * (a + b) * (1 / b) = 1 / a + 1 / b := by
simpa only [one_div] using (inv_add_inv' ha hb).symm
theorem add_div_eq_mul_add_div (a b : K) (hc : c ≠ 0) : a + b / c = (a * c + b) / c :=
(eq_div_iff_mul_eq hc).2 <| by rw [right_distrib, div_mul_cancel₀ _ hc]
@[field_simps]
theorem add_div' (a b c : K) (hc : c ≠ 0) : b + a / c = (b * c + a) / c := by
rw [add_div, mul_div_cancel_right₀ _ hc]
@[field_simps]
theorem div_add' (a b c : K) (hc : c ≠ 0) : a / c + b = (a + b * c) / c := by
rwa [add_comm, add_div', add_comm]
protected theorem Commute.div_add_div (hbc : Commute b c) (hbd : Commute b d) (hb : b ≠ 0)
(hd : d ≠ 0) : a / b + c / d = (a * d + b * c) / (b * d) := by
rw [add_div, mul_div_mul_right _ b hd, hbc.eq, hbd.eq, mul_div_mul_right c d hb]
protected theorem Commute.one_div_add_one_div (hab : Commute a b) (ha : a ≠ 0) (hb : b ≠ 0) :
1 / a + 1 / b = (a + b) / (a * b) := by
rw [(Commute.one_right a).div_add_div hab ha hb, one_mul, mul_one, add_comm]
protected theorem Commute.inv_add_inv (hab : Commute a b) (ha : a ≠ 0) (hb : b ≠ 0) :
a⁻¹ + b⁻¹ = (a + b) / (a * b) := by
rw [inv_eq_one_div, inv_eq_one_div, hab.one_div_add_one_div ha hb]
variable [NeZero (2 : K)]
@[simp] lemma add_self_div_two (a : K) : (a + a) / 2 = a := by
rw [← mul_two, mul_div_cancel_right₀ a two_ne_zero]
@[simp] lemma add_halves (a : K) : a / 2 + a / 2 = a := by rw [← add_div, add_self_div_two]
end DivisionSemiring
section DivisionRing
variable [DivisionRing K] {a b c d : K}
@[simp]
theorem div_neg_self {a : K} (h : a ≠ 0) : a / -a = -1 := by rw [div_neg_eq_neg_div, div_self h]
@[simp]
theorem neg_div_self {a : K} (h : a ≠ 0) : -a / a = -1 := by rw [neg_div, div_self h]
theorem div_sub_div_same (a b c : K) : a / c - b / c = (a - b) / c := by
rw [sub_eq_add_neg, ← neg_div, div_add_div_same, sub_eq_add_neg]
theorem same_sub_div {a b : K} (h : b ≠ 0) : (b - a) / b = 1 - a / b := by
simpa only [← @div_self _ _ b h] using (div_sub_div_same b a b).symm
theorem one_sub_div {a b : K} (h : b ≠ 0) : 1 - a / b = (b - a) / b :=
(same_sub_div h).symm
theorem div_sub_same {a b : K} (h : b ≠ 0) : (a - b) / b = a / b - 1 := by
simpa only [← @div_self _ _ b h] using (div_sub_div_same a b b).symm
theorem div_sub_one {a b : K} (h : b ≠ 0) : a / b - 1 = (a - b) / b :=
(div_sub_same h).symm
theorem sub_div (a b c : K) : (a - b) / c = a / c - b / c :=
(div_sub_div_same _ _ _).symm
/-- See `inv_sub_inv` for the more convenient version when `K` is commutative. -/
theorem inv_sub_inv' {a b : K} (ha : a ≠ 0) (hb : b ≠ 0) : a⁻¹ - b⁻¹ = a⁻¹ * (b - a) * b⁻¹ :=
let _ := invertibleOfNonzero ha; let _ := invertibleOfNonzero hb; invOf_sub_invOf a b
theorem one_div_mul_sub_mul_one_div_eq_one_div_add_one_div (ha : a ≠ 0) (hb : b ≠ 0) :
1 / a * (b - a) * (1 / b) = 1 / a - 1 / b := by
simpa only [one_div] using (inv_sub_inv' ha hb).symm
-- see Note [lower instance priority]
instance (priority := 100) DivisionRing.isDomain : IsDomain K :=
NoZeroDivisors.to_isDomain _
protected theorem Commute.div_sub_div (hbc : Commute b c) (hbd : Commute b d) (hb : b ≠ 0)
(hd : d ≠ 0) : a / b - c / d = (a * d - b * c) / (b * d) := by
simpa only [mul_neg, neg_div, ← sub_eq_add_neg] using hbc.neg_right.div_add_div hbd hb hd
protected theorem Commute.inv_sub_inv (hab : Commute a b) (ha : a ≠ 0) (hb : b ≠ 0) :
a⁻¹ - b⁻¹ = (b - a) / (a * b) := by
simp only [inv_eq_one_div, (Commute.one_right a).div_sub_div hab ha hb, one_mul, mul_one]
variable [NeZero (2 : K)]
lemma sub_half (a : K) : a - a / 2 = a / 2 := by rw [sub_eq_iff_eq_add, add_halves]
lemma half_sub (a : K) : a / 2 - a = -(a / 2) := by rw [← neg_sub, sub_half]
| Mathlib/Algebra/Field/Basic.lean | 135 | 135 | |
/-
Copyright (c) 2021 Rémy Degenne. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Rémy Degenne
-/
import Mathlib.MeasureTheory.Function.LpSeminorm.Trim
import Mathlib.MeasureTheory.Function.StronglyMeasurable.Inner
import Mathlib.MeasureTheory.Function.StronglyMeasurable.Lp
/-! # Functions a.e. measurable with respect to a sub-σ-algebra
A function `f` verifies `AEStronglyMeasurable[m] f μ` if it is `μ`-a.e. equal to
an `m`-strongly measurable function. This is similar to `AEStronglyMeasurable`, but the
`MeasurableSpace` structures used for the measurability statement and for the measure are
different.
We define `lpMeas F 𝕜 m p μ`, the subspace of `Lp F p μ` containing functions `f` verifying
`AEStronglyMeasurable[m] f μ`, i.e. functions which are `μ`-a.e. equal to an `m`-strongly
measurable function.
## Main statements
We define an `IsometryEquiv` between `lpMeasSubgroup` and the `Lp` space corresponding to the
measure `μ.trim hm`. As a consequence, the completeness of `Lp` implies completeness of `lpMeas`.
`Lp.induction_stronglyMeasurable` (see also `MemLp.induction_stronglyMeasurable`):
To prove something for an `Lp` function a.e. strongly measurable with respect to a
sub-σ-algebra `m` in a normed space, it suffices to show that
* the property holds for (multiples of) characteristic functions which are measurable w.r.t. `m`;
* is closed under addition;
* the set of functions in `Lp` strongly measurable w.r.t. `m` for which the property holds is
closed.
-/
open TopologicalSpace Filter
open scoped ENNReal MeasureTheory
namespace MeasureTheory
/-- A function `f` verifies `AEStronglyMeasurable[m] f μ` if it is `μ`-a.e. equal to
an `m`-strongly measurable function. This is similar to `AEStronglyMeasurable`, but the
`MeasurableSpace` structures used for the measurability statement and for the measure are
different. -/
@[deprecated AEStronglyMeasurable (since := "2025-01-23")]
def AEStronglyMeasurable' {α β} [TopologicalSpace β] (m : MeasurableSpace α)
{_ : MeasurableSpace α} (f : α → β) (μ : Measure α) : Prop := AEStronglyMeasurable[m] f μ
namespace AEStronglyMeasurable'
variable {α β 𝕜 : Type*} {m m0 : MeasurableSpace α} {μ : Measure α} [TopologicalSpace β]
{f g : α → β}
@[deprecated AEStronglyMeasurable.congr (since := "2025-01-23")]
theorem congr (hf : AEStronglyMeasurable[m] f μ) (hfg : f =ᵐ[μ] g) :
AEStronglyMeasurable[m] g μ := AEStronglyMeasurable.congr hf hfg
@[deprecated AEStronglyMeasurable.mono (since := "2025-01-23")]
theorem mono {m'} (hf : AEStronglyMeasurable[m] f μ) (hm : m ≤ m') :
AEStronglyMeasurable[m'] f μ := AEStronglyMeasurable.mono hm hf
@[deprecated AEStronglyMeasurable.add (since := "2025-01-23")]
theorem add [Add β] [ContinuousAdd β] (hf : AEStronglyMeasurable[m] f μ)
(hg : AEStronglyMeasurable[m] g μ) : AEStronglyMeasurable[m] (f + g) μ :=
AEStronglyMeasurable.add hf hg
@[deprecated AEStronglyMeasurable.neg (since := "2025-01-23")]
theorem neg [Neg β] [ContinuousNeg β] {f : α → β} (hfm : AEStronglyMeasurable[m] f μ) :
AEStronglyMeasurable[m] (-f) μ :=
AEStronglyMeasurable.neg hfm
@[deprecated AEStronglyMeasurable.sub (since := "2025-01-23")]
theorem sub [AddGroup β] [IsTopologicalAddGroup β] {f g : α → β} (hfm : AEStronglyMeasurable[m] f μ)
(hgm : AEStronglyMeasurable[m] g μ) : AEStronglyMeasurable[m] (f - g) μ :=
AEStronglyMeasurable.sub hfm hgm
@[deprecated AEStronglyMeasurable.const_smul (since := "2025-01-23")]
theorem const_smul [SMul 𝕜 β] [ContinuousConstSMul 𝕜 β] (c : 𝕜) (hf : AEStronglyMeasurable[m] f μ) :
AEStronglyMeasurable[m] (c • f) μ :=
AEStronglyMeasurable.const_smul hf _
@[deprecated AEStronglyMeasurable.const_inner (since := "2025-01-23")]
theorem const_inner {𝕜 β} [RCLike 𝕜] [NormedAddCommGroup β] [InnerProductSpace 𝕜 β] {f : α → β}
(hfm : AEStronglyMeasurable[m] f μ) (c : β) :
AEStronglyMeasurable[m] (fun x => (inner c (f x) : 𝕜)) μ :=
AEStronglyMeasurable.const_inner hfm
@[deprecated AEStronglyMeasurable.of_subsingleton_cod (since := "2025-01-23")]
theorem of_subsingleton [Subsingleton β] : AEStronglyMeasurable[m] f μ := .of_subsingleton_cod
@[deprecated AEStronglyMeasurable.of_subsingleton_dom (since := "2025-01-23")]
theorem of_subsingleton' [Subsingleton α] : AEStronglyMeasurable[m] f μ := .of_subsingleton_dom
/-- An `m`-strongly measurable function almost everywhere equal to `f`. -/
@[deprecated AEStronglyMeasurable.mk (since := "2025-01-23")]
noncomputable def mk (f : α → β) (hfm : AEStronglyMeasurable[m] f μ) : α → β :=
AEStronglyMeasurable.mk f hfm
@[deprecated AEStronglyMeasurable.stronglyMeasurable_mk (since := "2025-01-23")]
theorem stronglyMeasurable_mk {f : α → β} (hfm : AEStronglyMeasurable[m] f μ) :
StronglyMeasurable[m] (hfm.mk f) :=
AEStronglyMeasurable.stronglyMeasurable_mk hfm
@[deprecated AEStronglyMeasurable.ae_eq_mk (since := "2025-01-23")]
theorem ae_eq_mk {f : α → β} (hfm : AEStronglyMeasurable[m] f μ) : f =ᵐ[μ] hfm.mk f :=
AEStronglyMeasurable.ae_eq_mk hfm
@[deprecated Continuous.comp_aestronglyMeasurable (since := "2025-01-23")]
theorem continuous_comp {γ} [TopologicalSpace γ] {f : α → β} {g : β → γ} (hg : Continuous g)
(hf : AEStronglyMeasurable[m] f μ) : AEStronglyMeasurable[m] (g ∘ f) μ :=
hg.comp_aestronglyMeasurable hf
end AEStronglyMeasurable'
@[deprecated AEStronglyMeasurable.of_trim (since := "2025-01-23")]
theorem aeStronglyMeasurable'_of_aeStronglyMeasurable'_trim {α β} {m m0 m0' : MeasurableSpace α}
[TopologicalSpace β] (hm0 : m0 ≤ m0') {μ : Measure α} {f : α → β}
(hf : AEStronglyMeasurable[m] f (μ.trim hm0)) : AEStronglyMeasurable[m] f μ := .of_trim hm0 hf
@[deprecated StronglyMeasurable.aestronglyMeasurable (since := "2025-01-23")]
theorem StronglyMeasurable.aeStronglyMeasurable' {α β} {m _ : MeasurableSpace α}
[TopologicalSpace β] {μ : Measure α} {f : α → β} (hf : StronglyMeasurable[m] f) :
AEStronglyMeasurable[m] f μ := hf.aestronglyMeasurable
theorem ae_eq_trim_iff_of_aestronglyMeasurable {α β} [TopologicalSpace β] [MetrizableSpace β]
{m m0 : MeasurableSpace α} {μ : Measure α} {f g : α → β} (hm : m ≤ m0)
(hfm : AEStronglyMeasurable[m] f μ) (hgm : AEStronglyMeasurable[m] g μ) :
hfm.mk f =ᵐ[μ.trim hm] hgm.mk g ↔ f =ᵐ[μ] g :=
(hfm.stronglyMeasurable_mk.ae_eq_trim_iff hm hgm.stronglyMeasurable_mk).trans
⟨fun h => hfm.ae_eq_mk.trans (h.trans hgm.ae_eq_mk.symm), fun h =>
hfm.ae_eq_mk.symm.trans (h.trans hgm.ae_eq_mk)⟩
@[deprecated (since := "2025-04-09")]
alias ae_eq_trim_iff_of_aeStronglyMeasurable' := ae_eq_trim_iff_of_aestronglyMeasurable
theorem AEStronglyMeasurable.comp_ae_measurable' {α β γ : Type*} [TopologicalSpace β]
{mα : MeasurableSpace α} {_ : MeasurableSpace γ} {f : α → β} {μ : Measure γ} {g : γ → α}
(hf : AEStronglyMeasurable f (μ.map g)) (hg : AEMeasurable g μ) :
AEStronglyMeasurable[mα.comap g] (f ∘ g) μ :=
⟨hf.mk f ∘ g, hf.stronglyMeasurable_mk.comp_measurable (measurable_iff_comap_le.mpr le_rfl),
ae_eq_comp hg hf.ae_eq_mk⟩
/-- If the restriction to a set `s` of a σ-algebra `m` is included in the restriction to `s` of
another σ-algebra `m₂` (hypothesis `hs`), the set `s` is `m` measurable and a function `f` almost
everywhere supported on `s` is `m`-ae-strongly-measurable, then `f` is also
`m₂`-ae-strongly-measurable. -/
@[deprecated AEStronglyMeasurable.of_measurableSpace_le_on (since := "2025-01-23")]
theorem AEStronglyMeasurable'.aeStronglyMeasurable'_of_measurableSpace_le_on {α E}
{m m₂ m0 : MeasurableSpace α} {μ : Measure α} [TopologicalSpace E] [Zero E] (hm : m ≤ m0)
{s : Set α} {f : α → E} (hs_m : MeasurableSet[m] s)
(hs : ∀ t, MeasurableSet[m] (s ∩ t) → MeasurableSet[m₂] (s ∩ t))
(hf : AEStronglyMeasurable[m] f μ) (hf_zero : f =ᵐ[μ.restrict sᶜ] 0) :
AEStronglyMeasurable[m₂] f μ :=
.of_measurableSpace_le_on hm hs_m hs hf hf_zero
variable {α F 𝕜 : Type*} {p : ℝ≥0∞} [RCLike 𝕜]
-- 𝕜 for ℝ or ℂ
-- F for a Lp submodule
[NormedAddCommGroup F] [NormedSpace 𝕜 F]
section LpMeas
/-! ## The subset `lpMeas` of `Lp` functions a.e. measurable with respect to a sub-sigma-algebra -/
variable (F)
/-- `lpMeasSubgroup F m p μ` is the subspace of `Lp F p μ` containing functions `f` verifying
`AEStronglyMeasurable[m] f μ`, i.e. functions which are `μ`-a.e. equal to
an `m`-strongly measurable function. -/
def lpMeasSubgroup (m : MeasurableSpace α) [MeasurableSpace α] (p : ℝ≥0∞) (μ : Measure α) :
AddSubgroup (Lp F p μ) where
carrier := {f : Lp F p μ | AEStronglyMeasurable[m] f μ}
zero_mem' := ⟨(0 : α → F), @stronglyMeasurable_zero _ _ m _ _, Lp.coeFn_zero _ _ _⟩
add_mem' {f g} hf hg := (hf.add hg).congr (Lp.coeFn_add f g).symm
neg_mem' {f} hf := AEStronglyMeasurable.congr hf.neg (Lp.coeFn_neg f).symm
variable (𝕜)
/-- `lpMeas F 𝕜 m p μ` is the subspace of `Lp F p μ` containing functions `f` verifying
`AEStronglyMeasurable[m] f μ`, i.e. functions which are `μ`-a.e. equal to
an `m`-strongly measurable function. -/
def lpMeas (m : MeasurableSpace α) [MeasurableSpace α] (p : ℝ≥0∞) (μ : Measure α) :
Submodule 𝕜 (Lp F p μ) where
carrier := {f : Lp F p μ | AEStronglyMeasurable[m] f μ}
zero_mem' := ⟨(0 : α → F), @stronglyMeasurable_zero _ _ m _ _, Lp.coeFn_zero _ _ _⟩
add_mem' {f g} hf hg := (hf.add hg).congr (Lp.coeFn_add f g).symm
smul_mem' c f hf := (hf.const_smul c).congr (Lp.coeFn_smul c f).symm
variable {F 𝕜}
theorem mem_lpMeasSubgroup_iff_aestronglyMeasurable {m m0 : MeasurableSpace α} {μ : Measure α}
{f : Lp F p μ} : f ∈ lpMeasSubgroup F m p μ ↔ AEStronglyMeasurable[m] f μ := by
rw [← AddSubgroup.mem_carrier, lpMeasSubgroup, Set.mem_setOf_eq]
@[deprecated (since := "2025-01-24")]
alias mem_lpMeasSubgroup_iff_aeStronglyMeasurable' := mem_lpMeasSubgroup_iff_aestronglyMeasurable
@[deprecated (since := "2025-04-09")]
alias mem_lpMeasSubgroup_iff_aeStronglyMeasurable := mem_lpMeasSubgroup_iff_aestronglyMeasurable
theorem mem_lpMeas_iff_aestronglyMeasurable {m m0 : MeasurableSpace α} {μ : Measure α}
{f : Lp F p μ} : f ∈ lpMeas F 𝕜 m p μ ↔ AEStronglyMeasurable[m] f μ := by
rw [← SetLike.mem_coe, ← Submodule.mem_carrier, lpMeas, Set.mem_setOf_eq]
@[deprecated (since := "2025-01-24")]
alias mem_lpMeas_iff_aeStronglyMeasurable' := mem_lpMeas_iff_aestronglyMeasurable
@[deprecated (since := "2025-04-09")]
alias mem_lpMeas_iff_aeStronglyMeasurable := mem_lpMeas_iff_aestronglyMeasurable
theorem lpMeas.aestronglyMeasurable {m _ : MeasurableSpace α} {μ : Measure α}
(f : lpMeas F 𝕜 m p μ) : AEStronglyMeasurable[m] (f : α → F) μ :=
mem_lpMeas_iff_aestronglyMeasurable.mp f.mem
@[deprecated (since := "2025-01-24")]
alias lpMeas.aeStronglyMeasurable' := lpMeas.aestronglyMeasurable
@[deprecated (since := "2025-04-09")]
alias lpMeas.aeStronglyMeasurable := lpMeas.aestronglyMeasurable
theorem mem_lpMeas_self {m0 : MeasurableSpace α} (μ : Measure α) (f : Lp F p μ) :
f ∈ lpMeas F 𝕜 m0 p μ :=
mem_lpMeas_iff_aestronglyMeasurable.mpr (Lp.aestronglyMeasurable f)
theorem mem_lpMeas_indicatorConstLp {m m0 : MeasurableSpace α} (hm : m ≤ m0) {μ : Measure α}
{s : Set α} (hs : MeasurableSet[m] s) (hμs : μ s ≠ ∞) {c : F} :
indicatorConstLp p (hm s hs) hμs c ∈ lpMeas F 𝕜 m p μ :=
⟨s.indicator fun _ : α => c, (@stronglyMeasurable_const _ _ m _ _).indicator hs,
indicatorConstLp_coeFn⟩
section CompleteSubspace
/-! ## The subspace `lpMeas` is complete.
We define an `IsometryEquiv` between `lpMeasSubgroup` and the `Lp` space corresponding to the
| measure `μ.trim hm`. As a consequence, the completeness of `Lp` implies completeness of
`lpMeasSubgroup` (and `lpMeas`). -/
| Mathlib/MeasureTheory/Function/ConditionalExpectation/AEMeasurable.lean | 236 | 238 |
/-
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]
| Mathlib/Data/Fin/Basic.lean | 672 | 675 |
/-
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.Algebra.Group.TypeTags.Basic
import Mathlib.Data.Fin.VecNotation
import Mathlib.Data.Finset.Piecewise
import Mathlib.Order.Filter.Cofinite
import Mathlib.Order.Filter.Curry
import Mathlib.Topology.Constructions.SumProd
import Mathlib.Topology.NhdsSet
/-!
# Constructions of new topological spaces from old ones
This file constructs pi types, subtypes and quotients of topological spaces
and sets up their basic theory, such as criteria for maps into or out of these
constructions to be continuous; descriptions of the open sets, neighborhood filters,
and generators of these constructions; and their behavior with respect to embeddings
and other specific classes of maps.
## Implementation note
The constructed topologies are defined using induced and coinduced topologies
along with the complete lattice structure on topologies. Their universal properties
(for example, a map `X → Y × Z` is continuous if and only if both projections
`X → Y`, `X → Z` are) follow easily using order-theoretic descriptions of
continuity. With more work we can also extract descriptions of the open sets,
neighborhood filters and so on.
## Tags
product, subspace, quotient space
-/
noncomputable section
open Topology TopologicalSpace Set Filter Function
open scoped Set.Notation
universe u v u' v'
variable {X : Type u} {Y : Type v} {Z W ε ζ : Type*}
section Constructions
instance {r : X → X → Prop} [t : TopologicalSpace X] : TopologicalSpace (Quot r) :=
coinduced (Quot.mk r) t
instance instTopologicalSpaceQuotient {s : Setoid X} [t : TopologicalSpace X] :
TopologicalSpace (Quotient s) :=
coinduced Quotient.mk' t
instance instTopologicalSpaceSigma {ι : Type*} {X : ι → Type v} [t₂ : ∀ i, TopologicalSpace (X i)] :
TopologicalSpace (Sigma X) :=
⨆ i, coinduced (Sigma.mk i) (t₂ i)
instance Pi.topologicalSpace {ι : Type*} {Y : ι → Type v} [t₂ : (i : ι) → TopologicalSpace (Y i)] :
TopologicalSpace ((i : ι) → Y i) :=
⨅ i, induced (fun f => f i) (t₂ i)
instance ULift.topologicalSpace [t : TopologicalSpace X] : TopologicalSpace (ULift.{v, u} X) :=
t.induced ULift.down
/-!
### `Additive`, `Multiplicative`
The topology on those type synonyms is inherited without change.
-/
section
variable [TopologicalSpace X]
open Additive Multiplicative
instance : TopologicalSpace (Additive X) := ‹TopologicalSpace X›
instance : TopologicalSpace (Multiplicative X) := ‹TopologicalSpace X›
instance [DiscreteTopology X] : DiscreteTopology (Additive X) := ‹DiscreteTopology X›
instance [DiscreteTopology X] : DiscreteTopology (Multiplicative X) := ‹DiscreteTopology X›
theorem continuous_ofMul : Continuous (ofMul : X → Additive X) := continuous_id
theorem continuous_toMul : Continuous (toMul : Additive X → X) := continuous_id
theorem continuous_ofAdd : Continuous (ofAdd : X → Multiplicative X) := continuous_id
theorem continuous_toAdd : Continuous (toAdd : Multiplicative X → X) := continuous_id
theorem isOpenMap_ofMul : IsOpenMap (ofMul : X → Additive X) := IsOpenMap.id
theorem isOpenMap_toMul : IsOpenMap (toMul : Additive X → X) := IsOpenMap.id
theorem isOpenMap_ofAdd : IsOpenMap (ofAdd : X → Multiplicative X) := IsOpenMap.id
theorem isOpenMap_toAdd : IsOpenMap (toAdd : Multiplicative X → X) := IsOpenMap.id
theorem isClosedMap_ofMul : IsClosedMap (ofMul : X → Additive X) := IsClosedMap.id
theorem isClosedMap_toMul : IsClosedMap (toMul : Additive X → X) := IsClosedMap.id
theorem isClosedMap_ofAdd : IsClosedMap (ofAdd : X → Multiplicative X) := IsClosedMap.id
theorem isClosedMap_toAdd : IsClosedMap (toAdd : Multiplicative X → X) := IsClosedMap.id
theorem nhds_ofMul (x : X) : 𝓝 (ofMul x) = map ofMul (𝓝 x) := rfl
theorem nhds_ofAdd (x : X) : 𝓝 (ofAdd x) = map ofAdd (𝓝 x) := rfl
theorem nhds_toMul (x : Additive X) : 𝓝 x.toMul = map toMul (𝓝 x) := rfl
theorem nhds_toAdd (x : Multiplicative X) : 𝓝 x.toAdd = map toAdd (𝓝 x) := rfl
end
/-!
### Order dual
The topology on this type synonym is inherited without change.
-/
section
variable [TopologicalSpace X]
open OrderDual
instance OrderDual.instTopologicalSpace : TopologicalSpace Xᵒᵈ := ‹_›
instance OrderDual.instDiscreteTopology [DiscreteTopology X] : DiscreteTopology Xᵒᵈ := ‹_›
theorem continuous_toDual : Continuous (toDual : X → Xᵒᵈ) := continuous_id
theorem continuous_ofDual : Continuous (ofDual : Xᵒᵈ → X) := continuous_id
theorem isOpenMap_toDual : IsOpenMap (toDual : X → Xᵒᵈ) := IsOpenMap.id
theorem isOpenMap_ofDual : IsOpenMap (ofDual : Xᵒᵈ → X) := IsOpenMap.id
theorem isClosedMap_toDual : IsClosedMap (toDual : X → Xᵒᵈ) := IsClosedMap.id
theorem isClosedMap_ofDual : IsClosedMap (ofDual : Xᵒᵈ → X) := IsClosedMap.id
theorem nhds_toDual (x : X) : 𝓝 (toDual x) = map toDual (𝓝 x) := rfl
theorem nhds_ofDual (x : X) : 𝓝 (ofDual x) = map ofDual (𝓝 x) := rfl
variable [Preorder X] {x : X}
instance OrderDual.instNeBotNhdsWithinIoi [(𝓝[<] x).NeBot] : (𝓝[>] toDual x).NeBot := ‹_›
instance OrderDual.instNeBotNhdsWithinIio [(𝓝[>] x).NeBot] : (𝓝[<] toDual x).NeBot := ‹_›
end
theorem Quotient.preimage_mem_nhds [TopologicalSpace X] [s : Setoid X] {V : Set <| Quotient s}
{x : X} (hs : V ∈ 𝓝 (Quotient.mk' x)) : Quotient.mk' ⁻¹' V ∈ 𝓝 x :=
preimage_nhds_coinduced hs
/-- The image of a dense set under `Quotient.mk'` is a dense set. -/
theorem Dense.quotient [Setoid X] [TopologicalSpace X] {s : Set X} (H : Dense s) :
Dense (Quotient.mk' '' s) :=
Quotient.mk''_surjective.denseRange.dense_image continuous_coinduced_rng H
/-- The composition of `Quotient.mk'` and a function with dense range has dense range. -/
theorem DenseRange.quotient [Setoid X] [TopologicalSpace X] {f : Y → X} (hf : DenseRange f) :
DenseRange (Quotient.mk' ∘ f) :=
Quotient.mk''_surjective.denseRange.comp hf continuous_coinduced_rng
theorem continuous_map_of_le {α : Type*} [TopologicalSpace α]
{s t : Setoid α} (h : s ≤ t) : Continuous (Setoid.map_of_le h) :=
continuous_coinduced_rng
theorem continuous_map_sInf {α : Type*} [TopologicalSpace α]
{S : Set (Setoid α)} {s : Setoid α} (h : s ∈ S) : Continuous (Setoid.map_sInf h) :=
continuous_coinduced_rng
instance {p : X → Prop} [TopologicalSpace X] [DiscreteTopology X] : DiscreteTopology (Subtype p) :=
⟨bot_unique fun s _ => ⟨(↑) '' s, isOpen_discrete _, preimage_image_eq _ Subtype.val_injective⟩⟩
instance Sum.discreteTopology [TopologicalSpace X] [TopologicalSpace Y] [h : DiscreteTopology X]
[hY : DiscreteTopology Y] : DiscreteTopology (X ⊕ Y) :=
⟨sup_eq_bot_iff.2 <| by simp [h.eq_bot, hY.eq_bot]⟩
instance Sigma.discreteTopology {ι : Type*} {Y : ι → Type v} [∀ i, TopologicalSpace (Y i)]
[h : ∀ i, DiscreteTopology (Y i)] : DiscreteTopology (Sigma Y) :=
⟨iSup_eq_bot.2 fun _ => by simp only [(h _).eq_bot, coinduced_bot]⟩
@[simp] lemma comap_nhdsWithin_range {α β} [TopologicalSpace β] (f : α → β) (y : β) :
comap f (𝓝[range f] y) = comap f (𝓝 y) := comap_inf_principal_range
section Top
variable [TopologicalSpace X]
/-
The 𝓝 filter and the subspace topology.
-/
theorem mem_nhds_subtype (s : Set X) (x : { x // x ∈ s }) (t : Set { x // x ∈ s }) :
t ∈ 𝓝 x ↔ ∃ u ∈ 𝓝 (x : X), Subtype.val ⁻¹' u ⊆ t :=
mem_nhds_induced _ x t
theorem nhds_subtype (s : Set X) (x : { x // x ∈ s }) : 𝓝 x = comap (↑) (𝓝 (x : X)) :=
nhds_induced _ x
lemma nhds_subtype_eq_comap_nhdsWithin (s : Set X) (x : { x // x ∈ s }) :
𝓝 x = comap (↑) (𝓝[s] (x : X)) := by
rw [nhds_subtype, ← comap_nhdsWithin_range, Subtype.range_val]
theorem nhdsWithin_subtype_eq_bot_iff {s t : Set X} {x : s} :
𝓝[((↑) : s → X) ⁻¹' t] x = ⊥ ↔ 𝓝[t] (x : X) ⊓ 𝓟 s = ⊥ := by
rw [inf_principal_eq_bot_iff_comap, nhdsWithin, nhdsWithin, comap_inf, comap_principal,
nhds_induced]
theorem nhds_ne_subtype_eq_bot_iff {S : Set X} {x : S} :
𝓝[≠] x = ⊥ ↔ 𝓝[≠] (x : X) ⊓ 𝓟 S = ⊥ := by
rw [← nhdsWithin_subtype_eq_bot_iff, preimage_compl, ← image_singleton,
Subtype.coe_injective.preimage_image]
theorem nhds_ne_subtype_neBot_iff {S : Set X} {x : S} :
(𝓝[≠] x).NeBot ↔ (𝓝[≠] (x : X) ⊓ 𝓟 S).NeBot := by
rw [neBot_iff, neBot_iff, not_iff_not, nhds_ne_subtype_eq_bot_iff]
theorem discreteTopology_subtype_iff {S : Set X} :
DiscreteTopology S ↔ ∀ x ∈ S, 𝓝[≠] x ⊓ 𝓟 S = ⊥ := by
simp_rw [discreteTopology_iff_nhds_ne, SetCoe.forall', nhds_ne_subtype_eq_bot_iff]
end Top
/-- A type synonym equipped with the topology whose open sets are the empty set and the sets with
finite complements. -/
def CofiniteTopology (X : Type*) := X
namespace CofiniteTopology
/-- The identity equivalence between `` and `CofiniteTopology `. -/
def of : X ≃ CofiniteTopology X :=
Equiv.refl X
instance [Inhabited X] : Inhabited (CofiniteTopology X) where default := of default
instance : TopologicalSpace (CofiniteTopology X) where
IsOpen s := s.Nonempty → Set.Finite sᶜ
isOpen_univ := by simp
isOpen_inter s t := by
rintro hs ht ⟨x, hxs, hxt⟩
rw [compl_inter]
exact (hs ⟨x, hxs⟩).union (ht ⟨x, hxt⟩)
isOpen_sUnion := by
rintro s h ⟨x, t, hts, hzt⟩
rw [compl_sUnion]
exact Finite.sInter (mem_image_of_mem _ hts) (h t hts ⟨x, hzt⟩)
theorem isOpen_iff {s : Set (CofiniteTopology X)} : IsOpen s ↔ s.Nonempty → sᶜ.Finite :=
Iff.rfl
theorem isOpen_iff' {s : Set (CofiniteTopology X)} : IsOpen s ↔ s = ∅ ∨ sᶜ.Finite := by
simp only [isOpen_iff, nonempty_iff_ne_empty, or_iff_not_imp_left]
theorem isClosed_iff {s : Set (CofiniteTopology X)} : IsClosed s ↔ s = univ ∨ s.Finite := by
simp only [← isOpen_compl_iff, isOpen_iff', compl_compl, compl_empty_iff]
theorem nhds_eq (x : CofiniteTopology X) : 𝓝 x = pure x ⊔ cofinite := by
ext U
rw [mem_nhds_iff]
constructor
· rintro ⟨V, hVU, V_op, haV⟩
exact mem_sup.mpr ⟨hVU haV, mem_of_superset (V_op ⟨_, haV⟩) hVU⟩
· rintro ⟨hU : x ∈ U, hU' : Uᶜ.Finite⟩
exact ⟨U, Subset.rfl, fun _ => hU', hU⟩
theorem mem_nhds_iff {x : CofiniteTopology X} {s : Set (CofiniteTopology X)} :
s ∈ 𝓝 x ↔ x ∈ s ∧ sᶜ.Finite := by simp [nhds_eq]
end CofiniteTopology
end Constructions
section Prod
variable [TopologicalSpace X] [TopologicalSpace Y]
theorem MapClusterPt.curry_prodMap {α β : Type*}
{f : α → X} {g : β → Y} {la : Filter α} {lb : Filter β} {x : X} {y : Y}
(hf : MapClusterPt x la f) (hg : MapClusterPt y lb g) :
MapClusterPt (x, y) (la.curry lb) (.map f g) := by
rw [mapClusterPt_iff_frequently] at hf hg
rw [((𝓝 x).basis_sets.prod_nhds (𝓝 y).basis_sets).mapClusterPt_iff_frequently]
rintro ⟨s, t⟩ ⟨hs, ht⟩
rw [frequently_curry_iff]
exact (hf s hs).mono fun x hx ↦ (hg t ht).mono fun y hy ↦ ⟨hx, hy⟩
theorem MapClusterPt.prodMap {α β : Type*}
{f : α → X} {g : β → Y} {la : Filter α} {lb : Filter β} {x : X} {y : Y}
(hf : MapClusterPt x la f) (hg : MapClusterPt y lb g) :
MapClusterPt (x, y) (la ×ˢ lb) (.map f g) :=
(hf.curry_prodMap hg).mono <| map_mono curry_le_prod
end Prod
section Bool
lemma continuous_bool_rng [TopologicalSpace X] {f : X → Bool} (b : Bool) :
Continuous f ↔ IsClopen (f ⁻¹' {b}) := by
rw [continuous_discrete_rng, Bool.forall_bool' b, IsClopen, ← isOpen_compl_iff, ← preimage_compl,
Bool.compl_singleton, and_comm]
end Bool
section Subtype
variable [TopologicalSpace X] [TopologicalSpace Y] {p : X → Prop}
lemma Topology.IsInducing.subtypeVal {t : Set Y} : IsInducing ((↑) : t → Y) := ⟨rfl⟩
@[deprecated (since := "2024-10-28")] alias inducing_subtype_val := IsInducing.subtypeVal
lemma Topology.IsInducing.of_codRestrict {f : X → Y} {t : Set Y} (ht : ∀ x, f x ∈ t)
(h : IsInducing (t.codRestrict f ht)) : IsInducing f := subtypeVal.comp h
@[deprecated (since := "2024-10-28")] alias Inducing.of_codRestrict := IsInducing.of_codRestrict
lemma Topology.IsEmbedding.subtypeVal : IsEmbedding ((↑) : Subtype p → X) :=
⟨.subtypeVal, Subtype.coe_injective⟩
@[deprecated (since := "2024-10-26")] alias embedding_subtype_val := IsEmbedding.subtypeVal
theorem Topology.IsClosedEmbedding.subtypeVal (h : IsClosed {a | p a}) :
IsClosedEmbedding ((↑) : Subtype p → X) :=
⟨.subtypeVal, by rwa [Subtype.range_coe_subtype]⟩
@[continuity, fun_prop]
theorem continuous_subtype_val : Continuous (@Subtype.val X p) :=
continuous_induced_dom
theorem Continuous.subtype_val {f : Y → Subtype p} (hf : Continuous f) :
Continuous fun x => (f x : X) :=
continuous_subtype_val.comp hf
theorem IsOpen.isOpenEmbedding_subtypeVal {s : Set X} (hs : IsOpen s) :
IsOpenEmbedding ((↑) : s → X) :=
⟨.subtypeVal, (@Subtype.range_coe _ s).symm ▸ hs⟩
theorem IsOpen.isOpenMap_subtype_val {s : Set X} (hs : IsOpen s) : IsOpenMap ((↑) : s → X) :=
hs.isOpenEmbedding_subtypeVal.isOpenMap
theorem IsOpenMap.restrict {f : X → Y} (hf : IsOpenMap f) {s : Set X} (hs : IsOpen s) :
IsOpenMap (s.restrict f) :=
hf.comp hs.isOpenMap_subtype_val
lemma IsClosed.isClosedEmbedding_subtypeVal {s : Set X} (hs : IsClosed s) :
IsClosedEmbedding ((↑) : s → X) := .subtypeVal hs
theorem IsClosed.isClosedMap_subtype_val {s : Set X} (hs : IsClosed s) :
IsClosedMap ((↑) : s → X) :=
hs.isClosedEmbedding_subtypeVal.isClosedMap
@[continuity, fun_prop]
theorem Continuous.subtype_mk {f : Y → X} (h : Continuous f) (hp : ∀ x, p (f x)) :
Continuous fun x => (⟨f x, hp x⟩ : Subtype p) :=
continuous_induced_rng.2 h
theorem Continuous.subtype_map {f : X → Y} (h : Continuous f) {q : Y → Prop}
(hpq : ∀ x, p x → q (f x)) : Continuous (Subtype.map f hpq) :=
(h.comp continuous_subtype_val).subtype_mk _
theorem continuous_inclusion {s t : Set X} (h : s ⊆ t) : Continuous (inclusion h) :=
continuous_id.subtype_map h
theorem continuousAt_subtype_val {p : X → Prop} {x : Subtype p} :
ContinuousAt ((↑) : Subtype p → X) x :=
continuous_subtype_val.continuousAt
theorem Subtype.dense_iff {s : Set X} {t : Set s} : Dense t ↔ s ⊆ closure ((↑) '' t) := by
rw [IsInducing.subtypeVal.dense_iff, SetCoe.forall]
rfl
theorem map_nhds_subtype_val {s : Set X} (x : s) : map ((↑) : s → X) (𝓝 x) = 𝓝[s] ↑x := by
rw [IsInducing.subtypeVal.map_nhds_eq, Subtype.range_val]
theorem map_nhds_subtype_coe_eq_nhds {x : X} (hx : p x) (h : ∀ᶠ x in 𝓝 x, p x) :
map ((↑) : Subtype p → X) (𝓝 ⟨x, hx⟩) = 𝓝 x :=
map_nhds_induced_of_mem <| by rw [Subtype.range_val]; exact h
theorem nhds_subtype_eq_comap {x : X} {h : p x} : 𝓝 (⟨x, h⟩ : Subtype p) = comap (↑) (𝓝 x) :=
nhds_induced _ _
theorem tendsto_subtype_rng {Y : Type*} {p : X → Prop} {l : Filter Y} {f : Y → Subtype p} :
∀ {x : Subtype p}, Tendsto f l (𝓝 x) ↔ Tendsto (fun x => (f x : X)) l (𝓝 (x : X))
| ⟨a, ha⟩ => by rw [nhds_subtype_eq_comap, tendsto_comap_iff]; rfl
theorem closure_subtype {x : { a // p a }} {s : Set { a // p a }} :
x ∈ closure s ↔ (x : X) ∈ closure (((↑) : _ → X) '' s) :=
closure_induced
@[simp]
theorem continuousAt_codRestrict_iff {f : X → Y} {t : Set Y} (h1 : ∀ x, f x ∈ t) {x : X} :
ContinuousAt (codRestrict f t h1) x ↔ ContinuousAt f x :=
IsInducing.subtypeVal.continuousAt_iff
alias ⟨_, ContinuousAt.codRestrict⟩ := continuousAt_codRestrict_iff
theorem ContinuousAt.restrict {f : X → Y} {s : Set X} {t : Set Y} (h1 : MapsTo f s t) {x : s}
(h2 : ContinuousAt f x) : ContinuousAt (h1.restrict f s t) x :=
(h2.comp continuousAt_subtype_val).codRestrict _
theorem ContinuousAt.restrictPreimage {f : X → Y} {s : Set Y} {x : f ⁻¹' s} (h : ContinuousAt f x) :
ContinuousAt (s.restrictPreimage f) x :=
h.restrict _
@[continuity, fun_prop]
theorem Continuous.codRestrict {f : X → Y} {s : Set Y} (hf : Continuous f) (hs : ∀ a, f a ∈ s) :
Continuous (s.codRestrict f hs) :=
hf.subtype_mk hs
@[continuity, fun_prop]
theorem Continuous.restrict {f : X → Y} {s : Set X} {t : Set Y} (h1 : MapsTo f s t)
(h2 : Continuous f) : Continuous (h1.restrict f s t) :=
(h2.comp continuous_subtype_val).codRestrict _
@[continuity, fun_prop]
theorem Continuous.restrictPreimage {f : X → Y} {s : Set Y} (h : Continuous f) :
Continuous (s.restrictPreimage f) :=
h.restrict _
lemma Topology.IsEmbedding.restrict {f : X → Y}
(hf : IsEmbedding f) {s : Set X} {t : Set Y} (H : s.MapsTo f t) :
IsEmbedding H.restrict :=
.of_comp (hf.continuous.restrict H) continuous_subtype_val (hf.comp .subtypeVal)
lemma Topology.IsOpenEmbedding.restrict {f : X → Y}
(hf : IsOpenEmbedding f) {s : Set X} {t : Set Y} (H : s.MapsTo f t) (hs : IsOpen s) :
IsOpenEmbedding H.restrict :=
⟨hf.isEmbedding.restrict H, (by
rw [MapsTo.range_restrict]
exact continuous_subtype_val.1 _ (hf.isOpenMap _ hs))⟩
theorem Topology.IsInducing.codRestrict {e : X → Y} (he : IsInducing e) {s : Set Y}
(hs : ∀ x, e x ∈ s) : IsInducing (codRestrict e s hs) :=
he.of_comp (he.continuous.codRestrict hs) continuous_subtype_val
@[deprecated (since := "2024-10-28")] alias Inducing.codRestrict := IsInducing.codRestrict
protected lemma Topology.IsEmbedding.codRestrict {e : X → Y} (he : IsEmbedding e) (s : Set Y)
(hs : ∀ x, e x ∈ s) : IsEmbedding (codRestrict e s hs) :=
he.of_comp (he.continuous.codRestrict hs) continuous_subtype_val
@[deprecated (since := "2024-10-26")]
alias Embedding.codRestrict := IsEmbedding.codRestrict
variable {s t : Set X}
protected lemma Topology.IsEmbedding.inclusion (h : s ⊆ t) :
IsEmbedding (inclusion h) := IsEmbedding.subtypeVal.codRestrict _ _
protected lemma Topology.IsOpenEmbedding.inclusion (hst : s ⊆ t) (hs : IsOpen (t ↓∩ s)) :
IsOpenEmbedding (inclusion hst) where
toIsEmbedding := .inclusion _
isOpen_range := by rwa [range_inclusion]
protected lemma Topology.IsClosedEmbedding.inclusion (hst : s ⊆ t) (hs : IsClosed (t ↓∩ s)) :
IsClosedEmbedding (inclusion hst) where
toIsEmbedding := .inclusion _
isClosed_range := by rwa [range_inclusion]
@[deprecated (since := "2024-10-26")]
alias embedding_inclusion := IsEmbedding.inclusion
/-- Let `s, t ⊆ X` be two subsets of a topological space `X`. If `t ⊆ s` and the topology induced
by `X`on `s` is discrete, then also the topology induces on `t` is discrete. -/
theorem DiscreteTopology.of_subset {X : Type*} [TopologicalSpace X] {s t : Set X}
(_ : DiscreteTopology s) (ts : t ⊆ s) : DiscreteTopology t :=
(IsEmbedding.inclusion ts).discreteTopology
/-- Let `s` be a discrete subset of a topological space. Then the preimage of `s` by
a continuous injective map is also discrete. -/
theorem DiscreteTopology.preimage_of_continuous_injective {X Y : Type*} [TopologicalSpace X]
[TopologicalSpace Y] (s : Set Y) [DiscreteTopology s] {f : X → Y} (hc : Continuous f)
(hinj : Function.Injective f) : DiscreteTopology (f ⁻¹' s) :=
DiscreteTopology.of_continuous_injective (β := s) (Continuous.restrict
(by exact fun _ x ↦ x) hc) ((MapsTo.restrict_inj _).mpr hinj.injOn)
/-- If `f : X → Y` is a quotient map,
then its restriction to the preimage of an open set is a quotient map too. -/
theorem Topology.IsQuotientMap.restrictPreimage_isOpen {f : X → Y} (hf : IsQuotientMap f)
{s : Set Y} (hs : IsOpen s) : IsQuotientMap (s.restrictPreimage f) := by
refine isQuotientMap_iff.2 ⟨hf.surjective.restrictPreimage _, fun U ↦ ?_⟩
rw [hs.isOpenEmbedding_subtypeVal.isOpen_iff_image_isOpen, ← hf.isOpen_preimage,
(hs.preimage hf.continuous).isOpenEmbedding_subtypeVal.isOpen_iff_image_isOpen,
image_val_preimage_restrictPreimage]
@[deprecated (since := "2024-10-22")]
alias QuotientMap.restrictPreimage_isOpen := IsQuotientMap.restrictPreimage_isOpen
open scoped Set.Notation in
lemma isClosed_preimage_val {s t : Set X} : IsClosed (s ↓∩ t) ↔ s ∩ closure (s ∩ t) ⊆ t := by
rw [← closure_eq_iff_isClosed, IsEmbedding.subtypeVal.closure_eq_preimage_closure_image,
← Subtype.val_injective.image_injective.eq_iff, Subtype.image_preimage_coe,
Subtype.image_preimage_coe, subset_antisymm_iff, and_iff_left, Set.subset_inter_iff,
and_iff_right]
exacts [Set.inter_subset_left, Set.subset_inter Set.inter_subset_left subset_closure]
theorem frontier_inter_open_inter {s t : Set X} (ht : IsOpen t) :
frontier (s ∩ t) ∩ t = frontier s ∩ t := by
simp only [Set.inter_comm _ t, ← Subtype.preimage_coe_eq_preimage_coe_iff,
ht.isOpenMap_subtype_val.preimage_frontier_eq_frontier_preimage continuous_subtype_val,
Subtype.preimage_coe_self_inter]
section SetNotation
open scoped Set.Notation
lemma IsOpen.preimage_val {s t : Set X} (ht : IsOpen t) : IsOpen (s ↓∩ t) :=
ht.preimage continuous_subtype_val
lemma IsClosed.preimage_val {s t : Set X} (ht : IsClosed t) : IsClosed (s ↓∩ t) :=
ht.preimage continuous_subtype_val
@[simp] lemma IsOpen.inter_preimage_val_iff {s t : Set X} (hs : IsOpen s) :
IsOpen (s ↓∩ t) ↔ IsOpen (s ∩ t) :=
⟨fun h ↦ by simpa using hs.isOpenMap_subtype_val _ h,
fun h ↦ (Subtype.preimage_coe_self_inter _ _).symm ▸ h.preimage_val⟩
@[simp] lemma IsClosed.inter_preimage_val_iff {s t : Set X} (hs : IsClosed s) :
IsClosed (s ↓∩ t) ↔ IsClosed (s ∩ t) :=
⟨fun h ↦ by simpa using hs.isClosedMap_subtype_val _ h,
fun h ↦ (Subtype.preimage_coe_self_inter _ _).symm ▸ h.preimage_val⟩
end SetNotation
end Subtype
section Quotient
variable [TopologicalSpace X] [TopologicalSpace Y]
variable {r : X → X → Prop} {s : Setoid X}
theorem isQuotientMap_quot_mk : IsQuotientMap (@Quot.mk X r) :=
⟨Quot.exists_rep, rfl⟩
@[deprecated (since := "2024-10-22")]
alias quotientMap_quot_mk := isQuotientMap_quot_mk
@[continuity, fun_prop]
theorem continuous_quot_mk : Continuous (@Quot.mk X r) :=
continuous_coinduced_rng
@[continuity, fun_prop]
theorem continuous_quot_lift {f : X → Y} (hr : ∀ a b, r a b → f a = f b) (h : Continuous f) :
Continuous (Quot.lift f hr : Quot r → Y) :=
continuous_coinduced_dom.2 h
theorem isQuotientMap_quotient_mk' : IsQuotientMap (@Quotient.mk' X s) :=
isQuotientMap_quot_mk
@[deprecated (since := "2024-10-22")]
alias quotientMap_quotient_mk' := isQuotientMap_quotient_mk'
theorem continuous_quotient_mk' : Continuous (@Quotient.mk' X s) :=
continuous_coinduced_rng
theorem Continuous.quotient_lift {f : X → Y} (h : Continuous f) (hs : ∀ a b, a ≈ b → f a = f b) :
Continuous (Quotient.lift f hs : Quotient s → Y) :=
continuous_coinduced_dom.2 h
theorem Continuous.quotient_liftOn' {f : X → Y} (h : Continuous f)
(hs : ∀ a b, s a b → f a = f b) :
Continuous (fun x => Quotient.liftOn' x f hs : Quotient s → Y) :=
h.quotient_lift hs
open scoped Relator in
@[continuity, fun_prop]
theorem Continuous.quotient_map' {t : Setoid Y} {f : X → Y} (hf : Continuous f)
(H : (s.r ⇒ t.r) f f) : Continuous (Quotient.map' f H) :=
(continuous_quotient_mk'.comp hf).quotient_lift _
end Quotient
section Pi
variable {ι : Type*} {π : ι → Type*} {κ : Type*} [TopologicalSpace X]
[T : ∀ i, TopologicalSpace (π i)] {f : X → ∀ i : ι, π i}
theorem continuous_pi_iff : Continuous f ↔ ∀ i, Continuous fun a => f a i := by
simp only [continuous_iInf_rng, continuous_induced_rng, comp_def]
@[continuity, fun_prop]
theorem continuous_pi (h : ∀ i, Continuous fun a => f a i) : Continuous f :=
continuous_pi_iff.2 h
@[continuity, fun_prop]
theorem continuous_apply (i : ι) : Continuous fun p : ∀ i, π i => p i :=
continuous_iInf_dom continuous_induced_dom
@[continuity]
theorem continuous_apply_apply {ρ : κ → ι → Type*} [∀ j i, TopologicalSpace (ρ j i)] (j : κ)
(i : ι) : Continuous fun p : ∀ j, ∀ i, ρ j i => p j i :=
(continuous_apply i).comp (continuous_apply j)
theorem continuousAt_apply (i : ι) (x : ∀ i, π i) : ContinuousAt (fun p : ∀ i, π i => p i) x :=
(continuous_apply i).continuousAt
theorem Filter.Tendsto.apply_nhds {l : Filter Y} {f : Y → ∀ i, π i} {x : ∀ i, π i}
(h : Tendsto f l (𝓝 x)) (i : ι) : Tendsto (fun a => f a i) l (𝓝 <| x i) :=
(continuousAt_apply i _).tendsto.comp h
@[fun_prop]
protected theorem Continuous.piMap {Y : ι → Type*} [∀ i, TopologicalSpace (Y i)]
{f : ∀ i, π i → Y i} (hf : ∀ i, Continuous (f i)) : Continuous (Pi.map f) :=
continuous_pi fun i ↦ (hf i).comp (continuous_apply i)
theorem nhds_pi {a : ∀ i, π i} : 𝓝 a = pi fun i => 𝓝 (a i) := by
simp only [nhds_iInf, nhds_induced, Filter.pi]
protected theorem IsOpenMap.piMap {Y : ι → Type*} [∀ i, TopologicalSpace (Y i)] {f : ∀ i, π i → Y i}
(hfo : ∀ i, IsOpenMap (f i)) (hsurj : ∀ᶠ i in cofinite, Surjective (f i)) :
IsOpenMap (Pi.map f) := by
refine IsOpenMap.of_nhds_le fun x ↦ ?_
rw [nhds_pi, nhds_pi, map_piMap_pi hsurj]
exact Filter.pi_mono fun i ↦ (hfo i).nhds_le _
protected theorem IsOpenQuotientMap.piMap {Y : ι → Type*} [∀ i, TopologicalSpace (Y i)]
{f : ∀ i, π i → Y i} (hf : ∀ i, IsOpenQuotientMap (f i)) : IsOpenQuotientMap (Pi.map f) :=
⟨.piMap fun i ↦ (hf i).1, .piMap fun i ↦ (hf i).2, .piMap (fun i ↦ (hf i).3) <|
.of_forall fun i ↦ (hf i).1⟩
theorem tendsto_pi_nhds {f : Y → ∀ i, π i} {g : ∀ i, π i} {u : Filter Y} :
Tendsto f u (𝓝 g) ↔ ∀ x, Tendsto (fun i => f i x) u (𝓝 (g x)) := by
rw [nhds_pi, Filter.tendsto_pi]
theorem continuousAt_pi {f : X → ∀ i, π i} {x : X} :
ContinuousAt f x ↔ ∀ i, ContinuousAt (fun y => f y i) x :=
tendsto_pi_nhds
@[fun_prop]
theorem continuousAt_pi' {f : X → ∀ i, π i} {x : X} (hf : ∀ i, ContinuousAt (fun y => f y i) x) :
ContinuousAt f x :=
continuousAt_pi.2 hf
@[fun_prop]
protected theorem ContinuousAt.piMap {Y : ι → Type*} [∀ i, TopologicalSpace (Y i)]
{f : ∀ i, π i → Y i} {x : ∀ i, π i} (hf : ∀ i, ContinuousAt (f i) (x i)) :
ContinuousAt (Pi.map f) x :=
continuousAt_pi.2 fun i ↦ (hf i).comp (continuousAt_apply i x)
theorem Pi.continuous_precomp' {ι' : Type*} (φ : ι' → ι) :
Continuous (fun (f : (∀ i, π i)) (j : ι') ↦ f (φ j)) :=
continuous_pi fun j ↦ continuous_apply (φ j)
theorem Pi.continuous_precomp {ι' : Type*} (φ : ι' → ι) :
Continuous (· ∘ φ : (ι → X) → (ι' → X)) :=
Pi.continuous_precomp' φ
theorem Pi.continuous_postcomp' {X : ι → Type*} [∀ i, TopologicalSpace (X i)]
{g : ∀ i, π i → X i} (hg : ∀ i, Continuous (g i)) :
Continuous (fun (f : (∀ i, π i)) (i : ι) ↦ g i (f i)) :=
continuous_pi fun i ↦ (hg i).comp <| continuous_apply i
theorem Pi.continuous_postcomp [TopologicalSpace Y] {g : X → Y} (hg : Continuous g) :
Continuous (g ∘ · : (ι → X) → (ι → Y)) :=
Pi.continuous_postcomp' fun _ ↦ hg
lemma Pi.induced_precomp' {ι' : Type*} (φ : ι' → ι) :
induced (fun (f : (∀ i, π i)) (j : ι') ↦ f (φ j)) Pi.topologicalSpace =
⨅ i', induced (eval (φ i')) (T (φ i')) := by
simp [Pi.topologicalSpace, induced_iInf, induced_compose, comp_def]
lemma Pi.induced_precomp [TopologicalSpace Y] {ι' : Type*} (φ : ι' → ι) :
induced (· ∘ φ) Pi.topologicalSpace =
⨅ i', induced (eval (φ i')) ‹TopologicalSpace Y› :=
induced_precomp' φ
@[continuity, fun_prop]
lemma Pi.continuous_restrict (S : Set ι) :
Continuous (S.restrict : (∀ i : ι, π i) → (∀ i : S, π i)) :=
Pi.continuous_precomp' ((↑) : S → ι)
@[continuity, fun_prop]
lemma Pi.continuous_restrict₂ {s t : Set ι} (hst : s ⊆ t) : Continuous (restrict₂ (π := π) hst) :=
continuous_pi fun _ ↦ continuous_apply _
@[continuity, fun_prop]
theorem Finset.continuous_restrict (s : Finset ι) : Continuous (s.restrict (π := π)) :=
continuous_pi fun _ ↦ continuous_apply _
@[continuity, fun_prop]
theorem Finset.continuous_restrict₂ {s t : Finset ι} (hst : s ⊆ t) :
Continuous (Finset.restrict₂ (π := π) hst) :=
continuous_pi fun _ ↦ continuous_apply _
variable [TopologicalSpace Z]
@[continuity, fun_prop]
theorem Pi.continuous_restrict_apply (s : Set X) {f : X → Z} (hf : Continuous f) :
Continuous (s.restrict f) := hf.comp continuous_subtype_val
@[continuity, fun_prop]
theorem Pi.continuous_restrict₂_apply {s t : Set X} (hst : s ⊆ t)
{f : t → Z} (hf : Continuous f) :
Continuous (restrict₂ (π := fun _ ↦ Z) hst f) := hf.comp (continuous_inclusion hst)
@[continuity, fun_prop]
theorem Finset.continuous_restrict_apply (s : Finset X) {f : X → Z} (hf : Continuous f) :
Continuous (s.restrict f) := hf.comp continuous_subtype_val
@[continuity, fun_prop]
theorem Finset.continuous_restrict₂_apply {s t : Finset X} (hst : s ⊆ t)
{f : t → Z} (hf : Continuous f) :
Continuous (restrict₂ (π := fun _ ↦ Z) hst f) := hf.comp (continuous_inclusion hst)
lemma Pi.induced_restrict (S : Set ι) :
induced (S.restrict) Pi.topologicalSpace =
⨅ i ∈ S, induced (eval i) (T i) := by
simp +unfoldPartialApp [← iInf_subtype'', ← induced_precomp' ((↑) : S → ι),
restrict]
lemma Pi.induced_restrict_sUnion (𝔖 : Set (Set ι)) :
induced (⋃₀ 𝔖).restrict (Pi.topologicalSpace (Y := fun i : (⋃₀ 𝔖) ↦ π i)) =
⨅ S ∈ 𝔖, induced S.restrict Pi.topologicalSpace := by
simp_rw [Pi.induced_restrict, iInf_sUnion]
theorem Filter.Tendsto.update [DecidableEq ι] {l : Filter Y} {f : Y → ∀ i, π i} {x : ∀ i, π i}
(hf : Tendsto f l (𝓝 x)) (i : ι) {g : Y → π i} {xi : π i} (hg : Tendsto g l (𝓝 xi)) :
Tendsto (fun a => update (f a) i (g a)) l (𝓝 <| update x i xi) :=
tendsto_pi_nhds.2 fun j => by rcases eq_or_ne j i with (rfl | hj) <;> simp [*, hf.apply_nhds]
theorem ContinuousAt.update [DecidableEq ι] {x : X} (hf : ContinuousAt f x) (i : ι) {g : X → π i}
(hg : ContinuousAt g x) : ContinuousAt (fun a => update (f a) i (g a)) x :=
hf.tendsto.update i hg
theorem Continuous.update [DecidableEq ι] (hf : Continuous f) (i : ι) {g : X → π i}
(hg : Continuous g) : Continuous fun a => update (f a) i (g a) :=
continuous_iff_continuousAt.2 fun _ => hf.continuousAt.update i hg.continuousAt
/-- `Function.update f i x` is continuous in `(f, x)`. -/
@[continuity, fun_prop]
theorem continuous_update [DecidableEq ι] (i : ι) :
Continuous fun f : (∀ j, π j) × π i => update f.1 i f.2 :=
continuous_fst.update i continuous_snd
/-- `Pi.mulSingle i x` is continuous in `x`. -/
@[to_additive (attr := continuity) "`Pi.single i x` is continuous in `x`."]
theorem continuous_mulSingle [∀ i, One (π i)] [DecidableEq ι] (i : ι) :
Continuous fun x => (Pi.mulSingle i x : ∀ i, π i) :=
continuous_const.update _ continuous_id
section Fin
variable {n : ℕ} {π : Fin (n + 1) → Type*} [∀ i, TopologicalSpace (π i)]
theorem Filter.Tendsto.finCons
{f : Y → π 0} {g : Y → ∀ j : Fin n, π j.succ} {l : Filter Y} {x : π 0} {y : ∀ j, π (Fin.succ j)}
(hf : Tendsto f l (𝓝 x)) (hg : Tendsto g l (𝓝 y)) :
Tendsto (fun a => Fin.cons (f a) (g a)) l (𝓝 <| Fin.cons x y) :=
tendsto_pi_nhds.2 fun j => Fin.cases (by simpa) (by simpa using tendsto_pi_nhds.1 hg) j
theorem ContinuousAt.finCons {f : X → π 0} {g : X → ∀ j : Fin n, π (Fin.succ j)} {x : X}
(hf : ContinuousAt f x) (hg : ContinuousAt g x) :
ContinuousAt (fun a => Fin.cons (f a) (g a)) x :=
hf.tendsto.finCons hg
theorem Continuous.finCons {f : X → π 0} {g : X → ∀ j : Fin n, π (Fin.succ j)}
(hf : Continuous f) (hg : Continuous g) : Continuous fun a => Fin.cons (f a) (g a) :=
continuous_iff_continuousAt.2 fun _ => hf.continuousAt.finCons hg.continuousAt
theorem Filter.Tendsto.matrixVecCons
{f : Y → Z} {g : Y → Fin n → Z} {l : Filter Y} {x : Z} {y : Fin n → Z}
(hf : Tendsto f l (𝓝 x)) (hg : Tendsto g l (𝓝 y)) :
Tendsto (fun a => Matrix.vecCons (f a) (g a)) l (𝓝 <| Matrix.vecCons x y) :=
hf.finCons hg
theorem ContinuousAt.matrixVecCons
{f : X → Z} {g : X → Fin n → Z} {x : X} (hf : ContinuousAt f x) (hg : ContinuousAt g x) :
ContinuousAt (fun a => Matrix.vecCons (f a) (g a)) x :=
hf.finCons hg
theorem Continuous.matrixVecCons
{f : X → Z} {g : X → Fin n → Z} (hf : Continuous f) (hg : Continuous g) :
Continuous fun a => Matrix.vecCons (f a) (g a) :=
hf.finCons hg
theorem Filter.Tendsto.finSnoc
{f : Y → ∀ j : Fin n, π j.castSucc} {g : Y → π (Fin.last _)}
{l : Filter Y} {x : ∀ j, π (Fin.castSucc j)} {y : π (Fin.last _)}
(hf : Tendsto f l (𝓝 x)) (hg : Tendsto g l (𝓝 y)) :
Tendsto (fun a => Fin.snoc (f a) (g a)) l (𝓝 <| Fin.snoc x y) :=
tendsto_pi_nhds.2 fun j => Fin.lastCases (by simpa) (by simpa using tendsto_pi_nhds.1 hf) j
theorem ContinuousAt.finSnoc {f : X → ∀ j : Fin n, π j.castSucc} {g : X → π (Fin.last _)} {x : X}
(hf : ContinuousAt f x) (hg : ContinuousAt g x) :
ContinuousAt (fun a => Fin.snoc (f a) (g a)) x :=
hf.tendsto.finSnoc hg
theorem Continuous.finSnoc {f : X → ∀ j : Fin n, π j.castSucc} {g : X → π (Fin.last _)}
(hf : Continuous f) (hg : Continuous g) : Continuous fun a => Fin.snoc (f a) (g a) :=
continuous_iff_continuousAt.2 fun _ => hf.continuousAt.finSnoc hg.continuousAt
theorem Filter.Tendsto.finInsertNth
(i : Fin (n + 1)) {f : Y → π i} {g : Y → ∀ j : Fin n, π (i.succAbove j)} {l : Filter Y}
{x : π i} {y : ∀ j, π (i.succAbove j)} (hf : Tendsto f l (𝓝 x)) (hg : Tendsto g l (𝓝 y)) :
Tendsto (fun a => i.insertNth (f a) (g a)) l (𝓝 <| i.insertNth x y) :=
tendsto_pi_nhds.2 fun j => Fin.succAboveCases i (by simpa) (by simpa using tendsto_pi_nhds.1 hg) j
@[deprecated (since := "2025-01-02")]
alias Filter.Tendsto.fin_insertNth := Filter.Tendsto.finInsertNth
theorem ContinuousAt.finInsertNth
(i : Fin (n + 1)) {f : X → π i} {g : X → ∀ j : Fin n, π (i.succAbove j)} {x : X}
(hf : ContinuousAt f x) (hg : ContinuousAt g x) :
ContinuousAt (fun a => i.insertNth (f a) (g a)) x :=
hf.tendsto.finInsertNth i hg
@[deprecated (since := "2025-01-02")]
alias ContinuousAt.fin_insertNth := ContinuousAt.finInsertNth
theorem Continuous.finInsertNth
(i : Fin (n + 1)) {f : X → π i} {g : X → ∀ j : Fin n, π (i.succAbove j)}
(hf : Continuous f) (hg : Continuous g) : Continuous fun a => i.insertNth (f a) (g a) :=
continuous_iff_continuousAt.2 fun _ => hf.continuousAt.finInsertNth i hg.continuousAt
@[deprecated (since := "2025-01-02")]
alias Continuous.fin_insertNth := Continuous.finInsertNth
theorem Filter.Tendsto.finInit {f : Y → ∀ j : Fin (n + 1), π j} {l : Filter Y} {x : ∀ j, π j}
(hg : Tendsto f l (𝓝 x)) : Tendsto (fun a ↦ Fin.init (f a)) l (𝓝 <| Fin.init x) :=
tendsto_pi_nhds.2 fun j ↦ apply_nhds hg j.castSucc
@[fun_prop]
theorem ContinuousAt.finInit {f : X → ∀ j : Fin (n + 1), π j} {x : X}
(hf : ContinuousAt f x) : ContinuousAt (fun a ↦ Fin.init (f a)) x :=
hf.tendsto.finInit
@[fun_prop]
theorem Continuous.finInit {f : X → ∀ j : Fin (n + 1), π j} (hf : Continuous f) :
Continuous fun a ↦ Fin.init (f a) :=
continuous_iff_continuousAt.2 fun _ ↦ hf.continuousAt.finInit
theorem Filter.Tendsto.finTail {f : Y → ∀ j : Fin (n + 1), π j} {l : Filter Y} {x : ∀ j, π j}
(hg : Tendsto f l (𝓝 x)) : Tendsto (fun a ↦ Fin.tail (f a)) l (𝓝 <| Fin.tail x) :=
tendsto_pi_nhds.2 fun j ↦ apply_nhds hg j.succ
@[fun_prop]
theorem ContinuousAt.finTail {f : X → ∀ j : Fin (n + 1), π j} {x : X}
(hf : ContinuousAt f x) : ContinuousAt (fun a ↦ Fin.tail (f a)) x :=
hf.tendsto.finTail
@[fun_prop]
theorem Continuous.finTail {f : X → ∀ j : Fin (n + 1), π j} (hf : Continuous f) :
Continuous fun a ↦ Fin.tail (f a) :=
continuous_iff_continuousAt.2 fun _ ↦ hf.continuousAt.finTail
end Fin
theorem isOpen_set_pi {i : Set ι} {s : ∀ a, Set (π a)} (hi : i.Finite)
(hs : ∀ a ∈ i, IsOpen (s a)) : IsOpen (pi i s) := by
rw [pi_def]; exact hi.isOpen_biInter fun a ha => (hs _ ha).preimage (continuous_apply _)
theorem isOpen_pi_iff {s : Set (∀ a, π a)} :
IsOpen s ↔
∀ f, f ∈ s → ∃ (I : Finset ι) (u : ∀ a, Set (π a)),
(∀ a, a ∈ I → IsOpen (u a) ∧ f a ∈ u a) ∧ (I : Set ι).pi u ⊆ s := by
rw [isOpen_iff_nhds]
simp_rw [le_principal_iff, nhds_pi, Filter.mem_pi', mem_nhds_iff]
refine forall₂_congr fun a _ => ⟨?_, ?_⟩
· rintro ⟨I, t, ⟨h1, h2⟩⟩
refine ⟨I, fun a => eval a '' (I : Set ι).pi fun a => (h1 a).choose, fun i hi => ?_, ?_⟩
· simp_rw [eval_image_pi (Finset.mem_coe.mpr hi)
(pi_nonempty_iff.mpr fun i => ⟨_, fun _ => (h1 i).choose_spec.2.2⟩)]
exact (h1 i).choose_spec.2
· exact Subset.trans
(pi_mono fun i hi => (eval_image_pi_subset hi).trans (h1 i).choose_spec.1) h2
· rintro ⟨I, t, ⟨h1, h2⟩⟩
classical
refine ⟨I, fun a => ite (a ∈ I) (t a) univ, fun i => ?_, ?_⟩
· by_cases hi : i ∈ I
· use t i
simp_rw [if_pos hi]
exact ⟨Subset.rfl, (h1 i) hi⟩
· use univ
simp_rw [if_neg hi]
exact ⟨Subset.rfl, isOpen_univ, mem_univ _⟩
· rw [← univ_pi_ite]
simp only [← ite_and, ← Finset.mem_coe, and_self_iff, univ_pi_ite, h2]
theorem isOpen_pi_iff' [Finite ι] {s : Set (∀ a, π a)} :
IsOpen s ↔
∀ f, f ∈ s → ∃ u : ∀ a, Set (π a), (∀ a, IsOpen (u a) ∧ f a ∈ u a) ∧ univ.pi u ⊆ s := by
cases nonempty_fintype ι
rw [isOpen_iff_nhds]
simp_rw [le_principal_iff, nhds_pi, Filter.mem_pi', mem_nhds_iff]
refine forall₂_congr fun a _ => ⟨?_, ?_⟩
· rintro ⟨I, t, ⟨h1, h2⟩⟩
refine
⟨fun i => (h1 i).choose,
⟨fun i => (h1 i).choose_spec.2,
(pi_mono fun i _ => (h1 i).choose_spec.1).trans (Subset.trans ?_ h2)⟩⟩
rw [← pi_inter_compl (I : Set ι)]
exact inter_subset_left
· exact fun ⟨u, ⟨h1, _⟩⟩ =>
⟨Finset.univ, u, ⟨fun i => ⟨u i, ⟨rfl.subset, h1 i⟩⟩, by rwa [Finset.coe_univ]⟩⟩
theorem isClosed_set_pi {i : Set ι} {s : ∀ a, Set (π a)} (hs : ∀ a ∈ i, IsClosed (s a)) :
IsClosed (pi i s) := by
rw [pi_def]; exact isClosed_biInter fun a ha => (hs _ ha).preimage (continuous_apply _)
theorem mem_nhds_of_pi_mem_nhds {I : Set ι} {s : ∀ i, Set (π i)} (a : ∀ i, π i) (hs : I.pi s ∈ 𝓝 a)
{i : ι} (hi : i ∈ I) : s i ∈ 𝓝 (a i) := by
rw [nhds_pi] at hs; exact mem_of_pi_mem_pi hs hi
theorem set_pi_mem_nhds {i : Set ι} {s : ∀ a, Set (π a)} {x : ∀ a, π a} (hi : i.Finite)
(hs : ∀ a ∈ i, s a ∈ 𝓝 (x a)) : pi i s ∈ 𝓝 x := by
rw [pi_def, biInter_mem hi]
exact fun a ha => (continuous_apply a).continuousAt (hs a ha)
theorem set_pi_mem_nhds_iff {I : Set ι} (hI : I.Finite) {s : ∀ i, Set (π i)} (a : ∀ i, π i) :
I.pi s ∈ 𝓝 a ↔ ∀ i : ι, i ∈ I → s i ∈ 𝓝 (a i) := by
rw [nhds_pi, pi_mem_pi_iff hI]
theorem interior_pi_set {I : Set ι} (hI : I.Finite) {s : ∀ i, Set (π i)} :
interior (pi I s) = I.pi fun i => interior (s i) := by
ext a
simp only [Set.mem_pi, mem_interior_iff_mem_nhds, set_pi_mem_nhds_iff hI]
theorem exists_finset_piecewise_mem_of_mem_nhds [DecidableEq ι] {s : Set (∀ a, π a)} {x : ∀ a, π a}
(hs : s ∈ 𝓝 x) (y : ∀ a, π a) : ∃ I : Finset ι, I.piecewise x y ∈ s := by
simp only [nhds_pi, Filter.mem_pi'] at hs
rcases hs with ⟨I, t, htx, hts⟩
refine ⟨I, hts fun i hi => ?_⟩
simpa [Finset.mem_coe.1 hi] using mem_of_mem_nhds (htx i)
theorem pi_generateFrom_eq {π : ι → Type*} {g : ∀ a, Set (Set (π a))} :
(@Pi.topologicalSpace ι π fun a => generateFrom (g a)) =
generateFrom
{ t | ∃ (s : ∀ a, Set (π a)) (i : Finset ι), (∀ a ∈ i, s a ∈ g a) ∧ t = pi (↑i) s } := by
refine le_antisymm ?_ ?_
· apply le_generateFrom
rintro _ ⟨s, i, hi, rfl⟩
letI := fun a => generateFrom (g a)
exact isOpen_set_pi i.finite_toSet (fun a ha => GenerateOpen.basic _ (hi a ha))
· classical
refine le_iInf fun i => coinduced_le_iff_le_induced.1 <| le_generateFrom fun s hs => ?_
refine GenerateOpen.basic _ ⟨update (fun i => univ) i s, {i}, ?_⟩
simp [hs]
theorem pi_eq_generateFrom :
Pi.topologicalSpace =
generateFrom
{ g | ∃ (s : ∀ a, Set (π a)) (i : Finset ι), (∀ a ∈ i, IsOpen (s a)) ∧ g = pi (↑i) s } :=
calc Pi.topologicalSpace
_ = @Pi.topologicalSpace ι π fun _ => generateFrom { s | IsOpen s } := by
simp only [generateFrom_setOf_isOpen]
_ = _ := pi_generateFrom_eq
theorem pi_generateFrom_eq_finite {π : ι → Type*} {g : ∀ a, Set (Set (π a))} [Finite ι]
(hg : ∀ a, ⋃₀ g a = univ) :
(@Pi.topologicalSpace ι π fun a => generateFrom (g a)) =
generateFrom { t | ∃ s : ∀ a, Set (π a), (∀ a, s a ∈ g a) ∧ t = pi univ s } := by
cases nonempty_fintype ι
rw [pi_generateFrom_eq]
refine le_antisymm (generateFrom_anti ?_) (le_generateFrom ?_)
· exact fun s ⟨t, ht, Eq⟩ => ⟨t, Finset.univ, by simp [ht, Eq]⟩
· rintro s ⟨t, i, ht, rfl⟩
letI := generateFrom { t | ∃ s : ∀ a, Set (π a), (∀ a, s a ∈ g a) ∧ t = pi univ s }
refine isOpen_iff_forall_mem_open.2 fun f hf => ?_
choose c hcg hfc using fun a => sUnion_eq_univ_iff.1 (hg a) (f a)
refine ⟨pi i t ∩ pi ((↑i)ᶜ : Set ι) c, inter_subset_left, ?_, ⟨hf, fun a _ => hfc a⟩⟩
classical
rw [← univ_pi_piecewise]
refine GenerateOpen.basic _ ⟨_, fun a => ?_, rfl⟩
by_cases a ∈ i <;> simp [*]
theorem induced_to_pi {X : Type*} (f : X → ∀ i, π i) :
induced f Pi.topologicalSpace = ⨅ i, induced (f · i) inferInstance := by
simp_rw [Pi.topologicalSpace, induced_iInf, induced_compose, Function.comp_def]
/-- Suppose `π i` is a family of topological spaces indexed by `i : ι`, and `X` is a type
endowed with a family of maps `f i : X → π i` for every `i : ι`, hence inducing a
map `g : X → Π i, π i`. This lemma shows that infimum of the topologies on `X` induced by
the `f i` as `i : ι` varies is simply the topology on `X` induced by `g : X → Π i, π i`
where `Π i, π i` is endowed with the usual product topology. -/
theorem inducing_iInf_to_pi {X : Type*} (f : ∀ i, X → π i) :
@IsInducing X (∀ i, π i) (⨅ i, induced (f i) inferInstance) _ fun x i => f i x :=
letI := ⨅ i, induced (f i) inferInstance; ⟨(induced_to_pi _).symm⟩
variable [Finite ι] [∀ i, DiscreteTopology (π i)]
/-- A finite product of discrete spaces is discrete. -/
instance Pi.discreteTopology : DiscreteTopology (∀ i, π i) :=
singletons_open_iff_discrete.mp fun x => by
rw [← univ_pi_singleton]
exact isOpen_set_pi finite_univ fun i _ => (isOpen_discrete {x i})
end Pi
section Sigma
variable {ι κ : Type*} {σ : ι → Type*} {τ : κ → Type*} [∀ i, TopologicalSpace (σ i)]
[∀ k, TopologicalSpace (τ k)] [TopologicalSpace X]
@[continuity, fun_prop]
theorem continuous_sigmaMk {i : ι} : Continuous (@Sigma.mk ι σ i) :=
continuous_iSup_rng continuous_coinduced_rng
theorem isOpen_sigma_iff {s : Set (Sigma σ)} : IsOpen s ↔ ∀ i, IsOpen (Sigma.mk i ⁻¹' s) := by
rw [isOpen_iSup_iff]
rfl
theorem isClosed_sigma_iff {s : Set (Sigma σ)} : IsClosed s ↔ ∀ i, IsClosed (Sigma.mk i ⁻¹' s) := by
simp only [← isOpen_compl_iff, isOpen_sigma_iff, preimage_compl]
theorem isOpenMap_sigmaMk {i : ι} : IsOpenMap (@Sigma.mk ι σ i) := by
intro s hs
rw [isOpen_sigma_iff]
intro j
rcases eq_or_ne j i with (rfl | hne)
· rwa [preimage_image_eq _ sigma_mk_injective]
· rw [preimage_image_sigmaMk_of_ne hne]
exact isOpen_empty
theorem isOpen_range_sigmaMk {i : ι} : IsOpen (range (@Sigma.mk ι σ i)) :=
isOpenMap_sigmaMk.isOpen_range
theorem isClosedMap_sigmaMk {i : ι} : IsClosedMap (@Sigma.mk ι σ i) := by
intro s hs
rw [isClosed_sigma_iff]
intro j
rcases eq_or_ne j i with (rfl | hne)
· rwa [preimage_image_eq _ sigma_mk_injective]
· rw [preimage_image_sigmaMk_of_ne hne]
exact isClosed_empty
theorem isClosed_range_sigmaMk {i : ι} : IsClosed (range (@Sigma.mk ι σ i)) :=
isClosedMap_sigmaMk.isClosed_range
lemma Topology.IsOpenEmbedding.sigmaMk {i : ι} : IsOpenEmbedding (@Sigma.mk ι σ i) :=
.of_continuous_injective_isOpenMap continuous_sigmaMk sigma_mk_injective isOpenMap_sigmaMk
@[deprecated (since := "2024-10-30")] alias isOpenEmbedding_sigmaMk := IsOpenEmbedding.sigmaMk
lemma Topology.IsClosedEmbedding.sigmaMk {i : ι} : IsClosedEmbedding (@Sigma.mk ι σ i) :=
.of_continuous_injective_isClosedMap continuous_sigmaMk sigma_mk_injective isClosedMap_sigmaMk
@[deprecated (since := "2024-10-30")] alias isClosedEmbedding_sigmaMk := IsClosedEmbedding.sigmaMk
lemma Topology.IsEmbedding.sigmaMk {i : ι} : IsEmbedding (@Sigma.mk ι σ i) :=
IsClosedEmbedding.sigmaMk.1
@[deprecated (since := "2024-10-26")]
alias embedding_sigmaMk := IsEmbedding.sigmaMk
theorem Sigma.nhds_mk (i : ι) (x : σ i) : 𝓝 (⟨i, x⟩ : Sigma σ) = Filter.map (Sigma.mk i) (𝓝 x) :=
(IsOpenEmbedding.sigmaMk.map_nhds_eq x).symm
theorem Sigma.nhds_eq (x : Sigma σ) : 𝓝 x = Filter.map (Sigma.mk x.1) (𝓝 x.2) := by
cases x
apply Sigma.nhds_mk
theorem comap_sigmaMk_nhds (i : ι) (x : σ i) : comap (Sigma.mk i) (𝓝 ⟨i, x⟩) = 𝓝 x :=
(IsEmbedding.sigmaMk.nhds_eq_comap _).symm
theorem isOpen_sigma_fst_preimage (s : Set ι) : IsOpen (Sigma.fst ⁻¹' s : Set (Σ a, σ a)) := by
rw [← biUnion_of_singleton s, preimage_iUnion₂]
simp only [← range_sigmaMk]
exact isOpen_biUnion fun _ _ => isOpen_range_sigmaMk
/-- A map out of a sum type is continuous iff its restriction to each summand is. -/
@[simp]
theorem continuous_sigma_iff {f : Sigma σ → X} :
Continuous f ↔ ∀ i, Continuous fun a => f ⟨i, a⟩ := by
delta instTopologicalSpaceSigma
rw [continuous_iSup_dom]
exact forall_congr' fun _ => continuous_coinduced_dom
/-- A map out of a sum type is continuous if its restriction to each summand is. -/
@[continuity, fun_prop]
theorem continuous_sigma {f : Sigma σ → X} (hf : ∀ i, Continuous fun a => f ⟨i, a⟩) :
Continuous f :=
continuous_sigma_iff.2 hf
/-- A map defined on a sigma type (a.k.a. the disjoint union of an indexed family of topological
spaces) is inducing iff its restriction to each component is inducing and each the image of each
component under `f` can be separated from the images of all other components by an open set. -/
theorem inducing_sigma {f : Sigma σ → X} :
IsInducing f ↔ (∀ i, IsInducing (f ∘ Sigma.mk i)) ∧
(∀ i, ∃ U, IsOpen U ∧ ∀ x, f x ∈ U ↔ x.1 = i) := by
refine ⟨fun h ↦ ⟨fun i ↦ h.comp IsEmbedding.sigmaMk.1, fun i ↦ ?_⟩, ?_⟩
· rcases h.isOpen_iff.1 (isOpen_range_sigmaMk (i := i)) with ⟨U, hUo, hU⟩
refine ⟨U, hUo, ?_⟩
simpa [Set.ext_iff] using hU
· refine fun ⟨h₁, h₂⟩ ↦ isInducing_iff_nhds.2 fun ⟨i, x⟩ ↦ ?_
rw [Sigma.nhds_mk, (h₁ i).nhds_eq_comap, comp_apply, ← comap_comap, map_comap_of_mem]
rcases h₂ i with ⟨U, hUo, hU⟩
filter_upwards [preimage_mem_comap <| hUo.mem_nhds <| (hU _).2 rfl] with y hy
simpa [hU] using hy
@[simp 1100]
theorem continuous_sigma_map {f₁ : ι → κ} {f₂ : ∀ i, σ i → τ (f₁ i)} :
Continuous (Sigma.map f₁ f₂) ↔ ∀ i, Continuous (f₂ i) :=
continuous_sigma_iff.trans <| by
simp only [Sigma.map, IsEmbedding.sigmaMk.continuous_iff, comp_def]
@[continuity, fun_prop]
theorem Continuous.sigma_map {f₁ : ι → κ} {f₂ : ∀ i, σ i → τ (f₁ i)} (hf : ∀ i, Continuous (f₂ i)) :
Continuous (Sigma.map f₁ f₂) :=
continuous_sigma_map.2 hf
theorem isOpenMap_sigma {f : Sigma σ → X} : IsOpenMap f ↔ ∀ i, IsOpenMap fun a => f ⟨i, a⟩ := by
simp only [isOpenMap_iff_nhds_le, Sigma.forall, Sigma.nhds_eq, map_map, comp_def]
theorem isOpenMap_sigma_map {f₁ : ι → κ} {f₂ : ∀ i, σ i → τ (f₁ i)} :
IsOpenMap (Sigma.map f₁ f₂) ↔ ∀ i, IsOpenMap (f₂ i) :=
isOpenMap_sigma.trans <|
forall_congr' fun i => (@IsOpenEmbedding.sigmaMk _ _ _ (f₁ i)).isOpenMap_iff.symm
lemma Topology.isInducing_sigmaMap {f₁ : ι → κ} {f₂ : ∀ i, σ i → τ (f₁ i)}
(h₁ : Injective f₁) : IsInducing (Sigma.map f₁ f₂) ↔ ∀ i, IsInducing (f₂ i) := by
simp only [isInducing_iff_nhds, Sigma.forall, Sigma.nhds_mk, Sigma.map_mk,
← map_sigma_mk_comap h₁, map_inj sigma_mk_injective]
@[deprecated (since := "2024-10-28")] alias inducing_sigma_map := isInducing_sigmaMap
lemma Topology.isEmbedding_sigmaMap {f₁ : ι → κ} {f₂ : ∀ i, σ i → τ (f₁ i)}
(h : Injective f₁) : IsEmbedding (Sigma.map f₁ f₂) ↔ ∀ i, IsEmbedding (f₂ i) := by
simp only [isEmbedding_iff, Injective.sigma_map, isInducing_sigmaMap h, forall_and,
h.sigma_map_iff]
@[deprecated (since := "2024-10-26")]
alias embedding_sigma_map := isEmbedding_sigmaMap
lemma Topology.isOpenEmbedding_sigmaMap {f₁ : ι → κ} {f₂ : ∀ i, σ i → τ (f₁ i)} (h : Injective f₁) :
IsOpenEmbedding (Sigma.map f₁ f₂) ↔ ∀ i, IsOpenEmbedding (f₂ i) := by
simp only [isOpenEmbedding_iff_isEmbedding_isOpenMap, isOpenMap_sigma_map, isEmbedding_sigmaMap h,
forall_and]
@[deprecated (since := "2024-10-30")] alias isOpenEmbedding_sigma_map := isOpenEmbedding_sigmaMap
end Sigma
section ULift
theorem ULift.isOpen_iff [TopologicalSpace X] {s : Set (ULift.{v} X)} :
IsOpen s ↔ IsOpen (ULift.up ⁻¹' s) := by
rw [ULift.topologicalSpace, ← Equiv.ulift_apply, ← Equiv.ulift.coinduced_symm, ← isOpen_coinduced]
theorem ULift.isClosed_iff [TopologicalSpace X] {s : Set (ULift.{v} X)} :
IsClosed s ↔ IsClosed (ULift.up ⁻¹' s) := by
rw [← isOpen_compl_iff, ← isOpen_compl_iff, isOpen_iff, preimage_compl]
@[continuity, fun_prop]
theorem continuous_uliftDown [TopologicalSpace X] : Continuous (ULift.down : ULift.{v, u} X → X) :=
continuous_induced_dom
@[continuity, fun_prop]
theorem continuous_uliftUp [TopologicalSpace X] : Continuous (ULift.up : X → ULift.{v, u} X) :=
continuous_induced_rng.2 continuous_id
@[deprecated (since := "2025-02-10")] alias continuous_uLift_down := continuous_uliftDown
@[deprecated (since := "2025-02-10")] alias continuous_uLift_up := continuous_uliftUp
@[continuity, fun_prop]
theorem continuous_uliftMap [TopologicalSpace X] [TopologicalSpace Y]
(f : X → Y) (hf : Continuous f) :
Continuous (ULift.map f : ULift.{u'} X → ULift.{v'} Y) := by
change Continuous (ULift.up ∘ f ∘ ULift.down)
fun_prop
lemma Topology.IsEmbedding.uliftDown [TopologicalSpace X] :
IsEmbedding (ULift.down : ULift.{v, u} X → X) := ⟨⟨rfl⟩, ULift.down_injective⟩
@[deprecated (since := "2024-10-26")]
alias embedding_uLift_down := IsEmbedding.uliftDown
lemma Topology.IsClosedEmbedding.uliftDown [TopologicalSpace X] :
IsClosedEmbedding (ULift.down : ULift.{v, u} X → X) :=
⟨.uliftDown, by simp only [ULift.down_surjective.range_eq, isClosed_univ]⟩
@[deprecated (since := "2024-10-30")]
alias ULift.isClosedEmbedding_down := IsClosedEmbedding.uliftDown
instance [TopologicalSpace X] [DiscreteTopology X] : DiscreteTopology (ULift X) :=
IsEmbedding.uliftDown.discreteTopology
end ULift
section Monad
variable [TopologicalSpace X] {s : Set X} {t : Set s}
theorem IsOpen.trans (ht : IsOpen t) (hs : IsOpen s) : IsOpen (t : Set X) := by
rcases isOpen_induced_iff.mp ht with ⟨s', hs', rfl⟩
rw [Subtype.image_preimage_coe]
exact hs.inter hs'
theorem IsClosed.trans (ht : IsClosed t) (hs : IsClosed s) : IsClosed (t : Set X) := by
rcases isClosed_induced_iff.mp ht with ⟨s', hs', rfl⟩
rw [Subtype.image_preimage_coe]
exact hs.inter hs'
end Monad
section NhdsSet
variable [TopologicalSpace X] [TopologicalSpace Y]
{s : Set X} {t : Set Y}
/-- The product of a neighborhood of `s` and a neighborhood of `t` is a neighborhood of `s ×ˢ t`,
formulated in terms of a filter inequality. -/
theorem nhdsSet_prod_le (s : Set X) (t : Set Y) : 𝓝ˢ (s ×ˢ t) ≤ 𝓝ˢ s ×ˢ 𝓝ˢ t :=
((hasBasis_nhdsSet _).prod (hasBasis_nhdsSet _)).ge_iff.2 fun (_u, _v) ⟨⟨huo, hsu⟩, hvo, htv⟩ ↦
(huo.prod hvo).mem_nhdsSet.2 <| prod_mono hsu htv
theorem Filter.eventually_nhdsSet_prod_iff {p : X × Y → Prop} :
(∀ᶠ q in 𝓝ˢ (s ×ˢ t), p q) ↔
∀ x ∈ s, ∀ y ∈ t,
∃ px : X → Prop, (∀ᶠ x' in 𝓝 x, px x') ∧ ∃ py : Y → Prop, (∀ᶠ y' in 𝓝 y, py y') ∧
∀ {x : X}, px x → ∀ {y : Y}, py y → p (x, y) := by
simp_rw [eventually_nhdsSet_iff_forall, forall_prod_set, nhds_prod_eq, eventually_prod_iff]
theorem Filter.Eventually.prod_nhdsSet {p : X × Y → Prop} {px : X → Prop} {py : Y → Prop}
(hp : ∀ {x : X}, px x → ∀ {y : Y}, py y → p (x, y)) (hs : ∀ᶠ x in 𝓝ˢ s, px x)
(ht : ∀ᶠ y in 𝓝ˢ t, py y) : ∀ᶠ q in 𝓝ˢ (s ×ˢ t), p q :=
nhdsSet_prod_le _ _ (mem_of_superset (prod_mem_prod hs ht) fun _ ⟨hx, hy⟩ ↦ hp hx hy)
end NhdsSet
| Mathlib/Topology/Constructions.lean | 1,601 | 1,608 | |
/-
Copyright (c) 2019 Floris van Doorn. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Floris van Doorn, Yury Kudryashov, Sébastien Gouëzel, Chris Hughes
-/
import Mathlib.Data.Fin.Rev
import Mathlib.Data.Nat.Find
/-!
# Operation on tuples
We interpret maps `∀ i : Fin n, α i` as `n`-tuples of elements of possibly varying type `α i`,
`(α 0, …, α (n-1))`. A particular case is `Fin n → α` of elements with all the same type.
In this case when `α i` is a constant map, then tuples are isomorphic (but not definitionally equal)
to `Vector`s.
## Main declarations
There are three (main) ways to consider `Fin n` as a subtype of `Fin (n + 1)`, hence three (main)
ways to move between tuples of length `n` and of length `n + 1` by adding/removing an entry.
### Adding at the start
* `Fin.succ`: Send `i : Fin n` to `i + 1 : Fin (n + 1)`. This is defined in Core.
* `Fin.cases`: Induction/recursion principle for `Fin`: To prove a property/define a function for
all `Fin (n + 1)`, it is enough to prove/define it for `0` and for `i.succ` for all `i : Fin n`.
This is defined in Core.
* `Fin.cons`: Turn a tuple `f : Fin n → α` and an entry `a : α` into a tuple
`Fin.cons a f : Fin (n + 1) → α` by adding `a` at the start. In general, tuples can be dependent
functions, in which case `f : ∀ i : Fin n, α i.succ` and `a : α 0`. This is a special case of
`Fin.cases`.
* `Fin.tail`: Turn a tuple `f : Fin (n + 1) → α` into a tuple `Fin.tail f : Fin n → α` by forgetting
the start. In general, tuples can be dependent functions,
in which case `Fin.tail f : ∀ i : Fin n, α i.succ`.
### Adding at the end
* `Fin.castSucc`: Send `i : Fin n` to `i : Fin (n + 1)`. This is defined in Core.
* `Fin.lastCases`: Induction/recursion principle for `Fin`: To prove a property/define a function
for all `Fin (n + 1)`, it is enough to prove/define it for `last n` and for `i.castSucc` for all
`i : Fin n`. This is defined in Core.
* `Fin.snoc`: Turn a tuple `f : Fin n → α` and an entry `a : α` into a tuple
`Fin.snoc f a : Fin (n + 1) → α` by adding `a` at the end. In general, tuples can be dependent
functions, in which case `f : ∀ i : Fin n, α i.castSucc` and `a : α (last n)`. This is a
special case of `Fin.lastCases`.
* `Fin.init`: Turn a tuple `f : Fin (n + 1) → α` into a tuple `Fin.init f : Fin n → α` by forgetting
the start. In general, tuples can be dependent functions,
in which case `Fin.init f : ∀ i : Fin n, α i.castSucc`.
### Adding in the middle
For a **pivot** `p : Fin (n + 1)`,
* `Fin.succAbove`: Send `i : Fin n` to
* `i : Fin (n + 1)` if `i < p`,
* `i + 1 : Fin (n + 1)` if `p ≤ i`.
* `Fin.succAboveCases`: Induction/recursion principle for `Fin`: To prove a property/define a
function for all `Fin (n + 1)`, it is enough to prove/define it for `p` and for `p.succAbove i`
for all `i : Fin n`.
* `Fin.insertNth`: Turn a tuple `f : Fin n → α` and an entry `a : α` into a tuple
`Fin.insertNth f a : Fin (n + 1) → α` by adding `a` in position `p`. In general, tuples can be
dependent functions, in which case `f : ∀ i : Fin n, α (p.succAbove i)` and `a : α p`. This is a
special case of `Fin.succAboveCases`.
* `Fin.removeNth`: Turn a tuple `f : Fin (n + 1) → α` into a tuple `Fin.removeNth p f : Fin n → α`
by forgetting the `p`-th value. In general, tuples can be dependent functions,
in which case `Fin.removeNth f : ∀ i : Fin n, α (succAbove p i)`.
`p = 0` means we add at the start. `p = last n` means we add at the end.
### Miscellaneous
* `Fin.find p` : returns the first index `n` where `p n` is satisfied, and `none` if it is never
satisfied.
* `Fin.append a b` : append two tuples.
* `Fin.repeat n a` : repeat a tuple `n` times.
-/
assert_not_exists Monoid
universe u v
namespace Fin
variable {m n : ℕ}
open Function
section Tuple
/-- There is exactly one tuple of size zero. -/
example (α : Fin 0 → Sort u) : Unique (∀ i : Fin 0, α i) := by infer_instance
theorem tuple0_le {α : Fin 0 → Type*} [∀ i, Preorder (α i)] (f g : ∀ i, α i) : f ≤ g :=
finZeroElim
variable {α : Fin (n + 1) → Sort u} (x : α 0) (q : ∀ i, α i) (p : ∀ i : Fin n, α i.succ) (i : Fin n)
(y : α i.succ) (z : α 0)
/-- The tail of an `n+1` tuple, i.e., its last `n` entries. -/
def tail (q : ∀ i, α i) : ∀ i : Fin n, α i.succ := fun i ↦ q i.succ
theorem tail_def {n : ℕ} {α : Fin (n + 1) → Sort*} {q : ∀ i, α i} :
(tail fun k : Fin (n + 1) ↦ q k) = fun k : Fin n ↦ q k.succ :=
rfl
/-- Adding an element at the beginning of an `n`-tuple, to get an `n+1`-tuple. -/
def cons (x : α 0) (p : ∀ i : Fin n, α i.succ) : ∀ i, α i := fun j ↦ Fin.cases x p j
@[simp]
theorem tail_cons : tail (cons x p) = p := by
simp +unfoldPartialApp [tail, cons]
@[simp]
theorem cons_succ : cons x p i.succ = p i := by simp [cons]
@[simp]
theorem cons_zero : cons x p 0 = x := by simp [cons]
@[simp]
theorem cons_one {α : Fin (n + 2) → Sort*} (x : α 0) (p : ∀ i : Fin n.succ, α i.succ) :
cons x p 1 = p 0 := by
rw [← cons_succ x p]; rfl
/-- Updating a tuple and adding an element at the beginning commute. -/
@[simp]
theorem cons_update : cons x (update p i y) = update (cons x p) i.succ y := by
ext j
by_cases h : j = 0
· rw [h]
simp [Ne.symm (succ_ne_zero i)]
· let j' := pred j h
have : j'.succ = j := succ_pred j h
rw [← this, cons_succ]
by_cases h' : j' = i
· rw [h']
simp
· have : j'.succ ≠ i.succ := by rwa [Ne, succ_inj]
rw [update_of_ne h', update_of_ne this, cons_succ]
/-- As a binary function, `Fin.cons` is injective. -/
theorem cons_injective2 : Function.Injective2 (@cons n α) := fun x₀ y₀ x y h ↦
⟨congr_fun h 0, funext fun i ↦ by simpa using congr_fun h (Fin.succ i)⟩
@[simp]
theorem cons_inj {x₀ y₀ : α 0} {x y : ∀ i : Fin n, α i.succ} :
cons x₀ x = cons y₀ y ↔ x₀ = y₀ ∧ x = y :=
cons_injective2.eq_iff
theorem cons_left_injective (x : ∀ i : Fin n, α i.succ) : Function.Injective fun x₀ ↦ cons x₀ x :=
cons_injective2.left _
theorem cons_right_injective (x₀ : α 0) : Function.Injective (cons x₀) :=
cons_injective2.right _
/-- Adding an element at the beginning of a tuple and then updating it amounts to adding it
directly. -/
theorem update_cons_zero : update (cons x p) 0 z = cons z p := by
ext j
by_cases h : j = 0
· rw [h]
simp
· simp only [h, update_of_ne, Ne, not_false_iff]
let j' := pred j h
have : j'.succ = j := succ_pred j h
rw [← this, cons_succ, cons_succ]
/-- Concatenating the first element of a tuple with its tail gives back the original tuple -/
@[simp]
theorem cons_self_tail : cons (q 0) (tail q) = q := by
ext j
by_cases h : j = 0
· rw [h]
simp
· let j' := pred j h
have : j'.succ = j := succ_pred j h
rw [← this]
unfold tail
rw [cons_succ]
/-- Equivalence between tuples of length `n + 1` and pairs of an element and a tuple of length `n`
given by separating out the first element of the tuple.
This is `Fin.cons` as an `Equiv`. -/
@[simps]
def consEquiv (α : Fin (n + 1) → Type*) : α 0 × (∀ i, α (succ i)) ≃ ∀ i, α i where
toFun f := cons f.1 f.2
invFun f := (f 0, tail f)
left_inv f := by simp
right_inv f := by simp
/-- Recurse on an `n+1`-tuple by splitting it into a single element and an `n`-tuple. -/
@[elab_as_elim]
def consCases {P : (∀ i : Fin n.succ, α i) → Sort v} (h : ∀ x₀ x, P (Fin.cons x₀ x))
(x : ∀ i : Fin n.succ, α i) : P x :=
_root_.cast (by rw [cons_self_tail]) <| h (x 0) (tail x)
@[simp]
theorem consCases_cons {P : (∀ i : Fin n.succ, α i) → Sort v} (h : ∀ x₀ x, P (Fin.cons x₀ x))
(x₀ : α 0) (x : ∀ i : Fin n, α i.succ) : @consCases _ _ _ h (cons x₀ x) = h x₀ x := by
rw [consCases, cast_eq]
congr
/-- Recurse on a tuple by splitting into `Fin.elim0` and `Fin.cons`. -/
@[elab_as_elim]
def consInduction {α : Sort*} {P : ∀ {n : ℕ}, (Fin n → α) → Sort v} (h0 : P Fin.elim0)
(h : ∀ {n} (x₀) (x : Fin n → α), P x → P (Fin.cons x₀ x)) : ∀ {n : ℕ} (x : Fin n → α), P x
| 0, x => by convert h0
| _ + 1, x => consCases (fun _ _ ↦ h _ _ <| consInduction h0 h _) x
theorem cons_injective_of_injective {α} {x₀ : α} {x : Fin n → α} (hx₀ : x₀ ∉ Set.range x)
(hx : Function.Injective x) : Function.Injective (cons x₀ x : Fin n.succ → α) := by
refine Fin.cases ?_ ?_
· refine Fin.cases ?_ ?_
· intro
rfl
· intro j h
rw [cons_zero, cons_succ] at h
exact hx₀.elim ⟨_, h.symm⟩
· intro i
refine Fin.cases ?_ ?_
· intro h
rw [cons_zero, cons_succ] at h
exact hx₀.elim ⟨_, h⟩
· intro j h
rw [cons_succ, cons_succ] at h
exact congr_arg _ (hx h)
theorem cons_injective_iff {α} {x₀ : α} {x : Fin n → α} :
Function.Injective (cons x₀ x : Fin n.succ → α) ↔ x₀ ∉ Set.range x ∧ Function.Injective x := by
refine ⟨fun h ↦ ⟨?_, ?_⟩, fun h ↦ cons_injective_of_injective h.1 h.2⟩
· rintro ⟨i, hi⟩
replace h := @h i.succ 0
simp [hi] at h
· simpa [Function.comp] using h.comp (Fin.succ_injective _)
@[simp]
theorem forall_fin_zero_pi {α : Fin 0 → Sort*} {P : (∀ i, α i) → Prop} :
(∀ x, P x) ↔ P finZeroElim :=
⟨fun h ↦ h _, fun h x ↦ Subsingleton.elim finZeroElim x ▸ h⟩
@[simp]
theorem exists_fin_zero_pi {α : Fin 0 → Sort*} {P : (∀ i, α i) → Prop} :
(∃ x, P x) ↔ P finZeroElim :=
⟨fun ⟨x, h⟩ ↦ Subsingleton.elim x finZeroElim ▸ h, fun h ↦ ⟨_, h⟩⟩
theorem forall_fin_succ_pi {P : (∀ i, α i) → Prop} : (∀ x, P x) ↔ ∀ a v, P (Fin.cons a v) :=
⟨fun h a v ↦ h (Fin.cons a v), consCases⟩
theorem exists_fin_succ_pi {P : (∀ i, α i) → Prop} : (∃ x, P x) ↔ ∃ a v, P (Fin.cons a v) :=
⟨fun ⟨x, h⟩ ↦ ⟨x 0, tail x, (cons_self_tail x).symm ▸ h⟩, fun ⟨_, _, h⟩ ↦ ⟨_, h⟩⟩
/-- Updating the first element of a tuple does not change the tail. -/
@[simp]
theorem tail_update_zero : tail (update q 0 z) = tail q := by
ext j
simp [tail]
/-- Updating a nonzero element and taking the tail commute. -/
@[simp]
theorem tail_update_succ : tail (update q i.succ y) = update (tail q) i y := by
ext j
by_cases h : j = i
· rw [h]
simp [tail]
· simp [tail, (Fin.succ_injective n).ne h, h]
theorem comp_cons {α : Sort*} {β : Sort*} (g : α → β) (y : α) (q : Fin n → α) :
g ∘ cons y q = cons (g y) (g ∘ q) := by
ext j
by_cases h : j = 0
· rw [h]
rfl
· let j' := pred j h
have : j'.succ = j := succ_pred j h
rw [← this, cons_succ, comp_apply, comp_apply, cons_succ]
theorem comp_tail {α : Sort*} {β : Sort*} (g : α → β) (q : Fin n.succ → α) :
g ∘ tail q = tail (g ∘ q) := by
ext j
simp [tail]
section Preorder
variable {α : Fin (n + 1) → Type*}
theorem le_cons [∀ i, Preorder (α i)] {x : α 0} {q : ∀ i, α i} {p : ∀ i : Fin n, α i.succ} :
q ≤ cons x p ↔ q 0 ≤ x ∧ tail q ≤ p :=
forall_fin_succ.trans <| and_congr Iff.rfl <| forall_congr' fun j ↦ by simp [tail]
theorem cons_le [∀ i, Preorder (α i)] {x : α 0} {q : ∀ i, α i} {p : ∀ i : Fin n, α i.succ} :
cons x p ≤ q ↔ x ≤ q 0 ∧ p ≤ tail q :=
@le_cons _ (fun i ↦ (α i)ᵒᵈ) _ x q p
theorem cons_le_cons [∀ i, Preorder (α i)] {x₀ y₀ : α 0} {x y : ∀ i : Fin n, α i.succ} :
cons x₀ x ≤ cons y₀ y ↔ x₀ ≤ y₀ ∧ x ≤ y :=
forall_fin_succ.trans <| and_congr_right' <| by simp only [cons_succ, Pi.le_def]
end Preorder
theorem range_fin_succ {α} (f : Fin (n + 1) → α) :
Set.range f = insert (f 0) (Set.range (Fin.tail f)) :=
Set.ext fun _ ↦ exists_fin_succ.trans <| eq_comm.or Iff.rfl
@[simp]
theorem range_cons {α} {n : ℕ} (x : α) (b : Fin n → α) :
Set.range (Fin.cons x b : Fin n.succ → α) = insert x (Set.range b) := by
rw [range_fin_succ, cons_zero, tail_cons]
section Append
variable {α : Sort*}
/-- Append a tuple of length `m` to a tuple of length `n` to get a tuple of length `m + n`.
This is a non-dependent version of `Fin.add_cases`. -/
def append (a : Fin m → α) (b : Fin n → α) : Fin (m + n) → α :=
@Fin.addCases _ _ (fun _ => α) a b
@[simp]
theorem append_left (u : Fin m → α) (v : Fin n → α) (i : Fin m) :
append u v (Fin.castAdd n i) = u i :=
addCases_left _
@[simp]
theorem append_right (u : Fin m → α) (v : Fin n → α) (i : Fin n) :
append u v (natAdd m i) = v i :=
addCases_right _
theorem append_right_nil (u : Fin m → α) (v : Fin n → α) (hv : n = 0) :
append u v = u ∘ Fin.cast (by rw [hv, Nat.add_zero]) := by
refine funext (Fin.addCases (fun l => ?_) fun r => ?_)
· rw [append_left, Function.comp_apply]
refine congr_arg u (Fin.ext ?_)
simp
· exact (Fin.cast hv r).elim0
@[simp]
theorem append_elim0 (u : Fin m → α) :
append u Fin.elim0 = u ∘ Fin.cast (Nat.add_zero _) :=
append_right_nil _ _ rfl
theorem append_left_nil (u : Fin m → α) (v : Fin n → α) (hu : m = 0) :
append u v = v ∘ Fin.cast (by rw [hu, Nat.zero_add]) := by
refine funext (Fin.addCases (fun l => ?_) fun r => ?_)
· exact (Fin.cast hu l).elim0
· rw [append_right, Function.comp_apply]
refine congr_arg v (Fin.ext ?_)
simp [hu]
@[simp]
theorem elim0_append (v : Fin n → α) :
append Fin.elim0 v = v ∘ Fin.cast (Nat.zero_add _) :=
append_left_nil _ _ rfl
theorem append_assoc {p : ℕ} (a : Fin m → α) (b : Fin n → α) (c : Fin p → α) :
append (append a b) c = append a (append b c) ∘ Fin.cast (Nat.add_assoc ..) := by
ext i
rw [Function.comp_apply]
refine Fin.addCases (fun l => ?_) (fun r => ?_) i
· rw [append_left]
refine Fin.addCases (fun ll => ?_) (fun lr => ?_) l
· rw [append_left]
simp [castAdd_castAdd]
· rw [append_right]
simp [castAdd_natAdd]
· rw [append_right]
simp [← natAdd_natAdd]
/-- Appending a one-tuple to the left is the same as `Fin.cons`. -/
theorem append_left_eq_cons {n : ℕ} (x₀ : Fin 1 → α) (x : Fin n → α) :
Fin.append x₀ x = Fin.cons (x₀ 0) x ∘ Fin.cast (Nat.add_comm ..) := by
ext i
refine Fin.addCases ?_ ?_ i <;> clear i
· intro i
rw [Subsingleton.elim i 0, Fin.append_left, Function.comp_apply, eq_comm]
exact Fin.cons_zero _ _
· intro i
rw [Fin.append_right, Function.comp_apply, Fin.cast_natAdd, eq_comm, Fin.addNat_one]
exact Fin.cons_succ _ _ _
/-- `Fin.cons` is the same as appending a one-tuple to the left. -/
theorem cons_eq_append (x : α) (xs : Fin n → α) :
cons x xs = append (cons x Fin.elim0) xs ∘ Fin.cast (Nat.add_comm ..) := by
funext i; simp [append_left_eq_cons]
@[simp] lemma append_cast_left {n m} (xs : Fin n → α) (ys : Fin m → α) (n' : ℕ)
(h : n' = n) :
Fin.append (xs ∘ Fin.cast h) ys = Fin.append xs ys ∘ (Fin.cast <| by rw [h]) := by
subst h; simp
@[simp] lemma append_cast_right {n m} (xs : Fin n → α) (ys : Fin m → α) (m' : ℕ)
(h : m' = m) :
Fin.append xs (ys ∘ Fin.cast h) = Fin.append xs ys ∘ (Fin.cast <| by rw [h]) := by
subst h; simp
lemma append_rev {m n} (xs : Fin m → α) (ys : Fin n → α) (i : Fin (m + n)) :
append xs ys (rev i) = append (ys ∘ rev) (xs ∘ rev) (i.cast (Nat.add_comm ..)) := by
rcases rev_surjective i with ⟨i, rfl⟩
rw [rev_rev]
induction i using Fin.addCases
· simp [rev_castAdd]
· simp [cast_rev, rev_addNat]
lemma append_comp_rev {m n} (xs : Fin m → α) (ys : Fin n → α) :
append xs ys ∘ rev = append (ys ∘ rev) (xs ∘ rev) ∘ Fin.cast (Nat.add_comm ..) :=
funext <| append_rev xs ys
theorem append_castAdd_natAdd {f : Fin (m + n) → α} :
append (fun i ↦ f (castAdd n i)) (fun i ↦ f (natAdd m i)) = f := by
unfold append addCases
simp
end Append
section Repeat
variable {α : Sort*}
/-- Repeat `a` `m` times. For example `Fin.repeat 2 ![0, 3, 7] = ![0, 3, 7, 0, 3, 7]`. -/
def «repeat» (m : ℕ) (a : Fin n → α) : Fin (m * n) → α
| i => a i.modNat
@[simp]
theorem repeat_apply (a : Fin n → α) (i : Fin (m * n)) :
Fin.repeat m a i = a i.modNat :=
rfl
@[simp]
theorem repeat_zero (a : Fin n → α) :
Fin.repeat 0 a = Fin.elim0 ∘ Fin.cast (Nat.zero_mul _) :=
funext fun x => (x.cast (Nat.zero_mul _)).elim0
@[simp]
theorem repeat_one (a : Fin n → α) : Fin.repeat 1 a = a ∘ Fin.cast (Nat.one_mul _) := by
generalize_proofs h
apply funext
rw [(Fin.rightInverse_cast h.symm).surjective.forall]
intro i
simp [modNat, Nat.mod_eq_of_lt i.is_lt]
theorem repeat_succ (a : Fin n → α) (m : ℕ) :
Fin.repeat m.succ a =
append a (Fin.repeat m a) ∘ Fin.cast ((Nat.succ_mul _ _).trans (Nat.add_comm ..)) := by
generalize_proofs h
apply funext
rw [(Fin.rightInverse_cast h.symm).surjective.forall]
refine Fin.addCases (fun l => ?_) fun r => ?_
· simp [modNat, Nat.mod_eq_of_lt l.is_lt]
· simp [modNat]
@[simp]
theorem repeat_add (a : Fin n → α) (m₁ m₂ : ℕ) : Fin.repeat (m₁ + m₂) a =
append (Fin.repeat m₁ a) (Fin.repeat m₂ a) ∘ Fin.cast (Nat.add_mul ..) := by
generalize_proofs h
apply funext
rw [(Fin.rightInverse_cast h.symm).surjective.forall]
refine Fin.addCases (fun l => ?_) fun r => ?_
· simp [modNat, Nat.mod_eq_of_lt l.is_lt]
· simp [modNat, Nat.add_mod]
theorem repeat_rev (a : Fin n → α) (k : Fin (m * n)) :
Fin.repeat m a k.rev = Fin.repeat m (a ∘ Fin.rev) k :=
congr_arg a k.modNat_rev
theorem repeat_comp_rev (a : Fin n → α) :
Fin.repeat m a ∘ Fin.rev = Fin.repeat m (a ∘ Fin.rev) :=
funext <| repeat_rev a
end Repeat
end Tuple
section TupleRight
/-! In the previous section, we have discussed inserting or removing elements on the left of a
tuple. In this section, we do the same on the right. A difference is that `Fin (n+1)` is constructed
inductively from `Fin n` starting from the left, not from the right. This implies that Lean needs
more help to realize that elements belong to the right types, i.e., we need to insert casts at
several places. -/
variable {α : Fin (n + 1) → Sort*} (x : α (last n)) (q : ∀ i, α i)
(p : ∀ i : Fin n, α i.castSucc) (i : Fin n) (y : α i.castSucc) (z : α (last n))
/-- The beginning of an `n+1` tuple, i.e., its first `n` entries -/
def init (q : ∀ i, α i) (i : Fin n) : α i.castSucc :=
q i.castSucc
theorem init_def {q : ∀ i, α i} :
(init fun k : Fin (n + 1) ↦ q k) = fun k : Fin n ↦ q k.castSucc :=
rfl
/-- Adding an element at the end of an `n`-tuple, to get an `n+1`-tuple. The name `snoc` comes from
`cons` (i.e., adding an element to the left of a tuple) read in reverse order. -/
def snoc (p : ∀ i : Fin n, α i.castSucc) (x : α (last n)) (i : Fin (n + 1)) : α i :=
if h : i.val < n then _root_.cast (by rw [Fin.castSucc_castLT i h]) (p (castLT i h))
else _root_.cast (by rw [eq_last_of_not_lt h]) x
@[simp]
theorem init_snoc : init (snoc p x) = p := by
ext i
simp only [init, snoc, coe_castSucc, is_lt, cast_eq, dite_true]
convert cast_eq rfl (p i)
@[simp]
theorem snoc_castSucc : snoc p x i.castSucc = p i := by
simp only [snoc, coe_castSucc, is_lt, cast_eq, dite_true]
convert cast_eq rfl (p i)
@[simp]
theorem snoc_comp_castSucc {α : Sort*} {a : α} {f : Fin n → α} :
(snoc f a : Fin (n + 1) → α) ∘ castSucc = f :=
funext fun i ↦ by rw [Function.comp_apply, snoc_castSucc]
@[simp]
theorem snoc_last : snoc p x (last n) = x := by simp [snoc]
lemma snoc_zero {α : Sort*} (p : Fin 0 → α) (x : α) :
Fin.snoc p x = fun _ ↦ x := by
ext y
have : Subsingleton (Fin (0 + 1)) := Fin.subsingleton_one
simp only [Subsingleton.elim y (Fin.last 0), snoc_last]
@[simp]
theorem snoc_comp_nat_add {n m : ℕ} {α : Sort*} (f : Fin (m + n) → α) (a : α) :
(snoc f a : Fin _ → α) ∘ (natAdd m : Fin (n + 1) → Fin (m + n + 1)) =
snoc (f ∘ natAdd m) a := by
ext i
refine Fin.lastCases ?_ (fun i ↦ ?_) i
· simp only [Function.comp_apply]
rw [snoc_last, natAdd_last, snoc_last]
· simp only [comp_apply, snoc_castSucc]
rw [natAdd_castSucc, snoc_castSucc]
@[simp]
theorem snoc_cast_add {α : Fin (n + m + 1) → Sort*} (f : ∀ i : Fin (n + m), α i.castSucc)
(a : α (last (n + m))) (i : Fin n) : (snoc f a) (castAdd (m + 1) i) = f (castAdd m i) :=
dif_pos _
@[simp]
theorem snoc_comp_cast_add {n m : ℕ} {α : Sort*} (f : Fin (n + m) → α) (a : α) :
(snoc f a : Fin _ → α) ∘ castAdd (m + 1) = f ∘ castAdd m :=
funext (snoc_cast_add _ _)
/-- Updating a tuple and adding an element at the end commute. -/
@[simp]
theorem snoc_update : snoc (update p i y) x = update (snoc p x) i.castSucc y := by
ext j
cases j using lastCases with
| cast j => rcases eq_or_ne j i with rfl | hne <;> simp [*]
| last => simp [Ne.symm]
/-- Adding an element at the beginning of a tuple and then updating it amounts to adding it
directly. -/
theorem update_snoc_last : update (snoc p x) (last n) z = snoc p z := by
ext j
cases j using lastCases <;> simp
/-- As a binary function, `Fin.snoc` is injective. -/
theorem snoc_injective2 : Function.Injective2 (@snoc n α) := fun x y xₙ yₙ h ↦
⟨funext fun i ↦ by simpa using congr_fun h (castSucc i), by simpa using congr_fun h (last n)⟩
@[simp]
theorem snoc_inj {x y : ∀ i : Fin n, α i.castSucc} {xₙ yₙ : α (last n)} :
snoc x xₙ = snoc y yₙ ↔ x = y ∧ xₙ = yₙ :=
snoc_injective2.eq_iff
theorem snoc_right_injective (x : ∀ i : Fin n, α i.castSucc) :
Function.Injective (snoc x) :=
snoc_injective2.right _
theorem snoc_left_injective (xₙ : α (last n)) : Function.Injective (snoc · xₙ) :=
snoc_injective2.left _
/-- Concatenating the first element of a tuple with its tail gives back the original tuple -/
@[simp]
theorem snoc_init_self : snoc (init q) (q (last n)) = q := by
ext j
by_cases h : j.val < n
· simp only [init, snoc, h, cast_eq, dite_true, castSucc_castLT]
· rw [eq_last_of_not_lt h]
simp
/-- Updating the last element of a tuple does not change the beginning. -/
@[simp]
theorem init_update_last : init (update q (last n) z) = init q := by
ext j
simp [init, Fin.ne_of_lt]
/-- Updating an element and taking the beginning commute. -/
@[simp]
theorem init_update_castSucc : init (update q i.castSucc y) = update (init q) i y := by
ext j
by_cases h : j = i
· rw [h]
simp [init]
· simp [init, h, castSucc_inj]
/-- `tail` and `init` commute. We state this lemma in a non-dependent setting, as otherwise it
would involve a cast to convince Lean that the two types are equal, making it harder to use. -/
theorem tail_init_eq_init_tail {β : Sort*} (q : Fin (n + 2) → β) :
tail (init q) = init (tail q) := by
ext i
simp [tail, init, castSucc_fin_succ]
/-- `cons` and `snoc` commute. We state this lemma in a non-dependent setting, as otherwise it
would involve a cast to convince Lean that the two types are equal, making it harder to use. -/
theorem cons_snoc_eq_snoc_cons {β : Sort*} (a : β) (q : Fin n → β) (b : β) :
@cons n.succ (fun _ ↦ β) a (snoc q b) = snoc (cons a q) b := by
ext i
by_cases h : i = 0
· simp [h, snoc, castLT]
set j := pred i h with ji
have : i = j.succ := by rw [ji, succ_pred]
rw [this, cons_succ]
by_cases h' : j.val < n
· set k := castLT j h' with jk
have : j = castSucc k := by rw [jk, castSucc_castLT]
rw [this, ← castSucc_fin_succ, snoc]
simp [pred, snoc, cons]
rw [eq_last_of_not_lt h', succ_last]
simp
theorem comp_snoc {α : Sort*} {β : Sort*} (g : α → β) (q : Fin n → α) (y : α) :
g ∘ snoc q y = snoc (g ∘ q) (g y) := by
ext j
by_cases h : j.val < n
· simp [h, snoc, castSucc_castLT]
· rw [eq_last_of_not_lt h]
simp
/-- Appending a one-tuple to the right is the same as `Fin.snoc`. -/
theorem append_right_eq_snoc {α : Sort*} {n : ℕ} (x : Fin n → α) (x₀ : Fin 1 → α) :
Fin.append x x₀ = Fin.snoc x (x₀ 0) := by
ext i
refine Fin.addCases ?_ ?_ i <;> clear i
· intro i
rw [Fin.append_left]
exact (@snoc_castSucc _ (fun _ => α) _ _ i).symm
· intro i
rw [Subsingleton.elim i 0, Fin.append_right]
exact (@snoc_last _ (fun _ => α) _ _).symm
/-- `Fin.snoc` is the same as appending a one-tuple -/
theorem snoc_eq_append {α : Sort*} (xs : Fin n → α) (x : α) :
snoc xs x = append xs (cons x Fin.elim0) :=
(append_right_eq_snoc xs (cons x Fin.elim0)).symm
theorem append_left_snoc {n m} {α : Sort*} (xs : Fin n → α) (x : α) (ys : Fin m → α) :
Fin.append (Fin.snoc xs x) ys =
Fin.append xs (Fin.cons x ys) ∘ Fin.cast (Nat.succ_add_eq_add_succ ..) := by
rw [snoc_eq_append, append_assoc, append_left_eq_cons, append_cast_right]; rfl
theorem append_right_cons {n m} {α : Sort*} (xs : Fin n → α) (y : α) (ys : Fin m → α) :
Fin.append xs (Fin.cons y ys) =
Fin.append (Fin.snoc xs y) ys ∘ Fin.cast (Nat.succ_add_eq_add_succ ..).symm := by
rw [append_left_snoc]; rfl
theorem append_cons {α : Sort*} (a : α) (as : Fin n → α) (bs : Fin m → α) :
Fin.append (cons a as) bs
= cons a (Fin.append as bs) ∘ (Fin.cast <| Nat.add_right_comm n 1 m) := by
funext i
rcases i with ⟨i, -⟩
simp only [append, addCases, cons, castLT, cast, comp_apply]
rcases i with - | i
· simp
· split_ifs with h
· have : i < n := Nat.lt_of_succ_lt_succ h
simp [addCases, this]
· have : ¬i < n := Nat.not_le.mpr <| Nat.lt_succ.mp <| Nat.not_le.mp h
simp [addCases, this]
theorem append_snoc {α : Sort*} (as : Fin n → α) (bs : Fin m → α) (b : α) :
Fin.append as (snoc bs b) = snoc (Fin.append as bs) b := by
funext i
rcases i with ⟨i, isLt⟩
simp only [append, addCases, castLT, cast_mk, subNat_mk, natAdd_mk, cast, snoc.eq_1,
cast_eq, eq_rec_constant, Nat.add_eq, Nat.add_zero, castLT_mk]
split_ifs with lt_n lt_add sub_lt nlt_add lt_add <;> (try rfl)
· have := Nat.lt_add_right m lt_n
contradiction
· obtain rfl := Nat.eq_of_le_of_lt_succ (Nat.not_lt.mp nlt_add) isLt
simp [Nat.add_comm n m] at sub_lt
· have := Nat.sub_lt_left_of_lt_add (Nat.not_lt.mp lt_n) lt_add
contradiction
theorem comp_init {α : Sort*} {β : Sort*} (g : α → β) (q : Fin n.succ → α) :
g ∘ init q = init (g ∘ q) := by
ext j
simp [init]
/-- Equivalence between tuples of length `n + 1` and pairs of an element and a tuple of length `n`
given by separating out the last element of the tuple.
This is `Fin.snoc` as an `Equiv`. -/
@[simps]
def snocEquiv (α : Fin (n + 1) → Type*) : α (last n) × (∀ i, α (castSucc i)) ≃ ∀ i, α i where
toFun f _ := Fin.snoc f.2 f.1 _
invFun f := ⟨f _, Fin.init f⟩
left_inv f := by simp
right_inv f := by simp
/-- Recurse on an `n+1`-tuple by splitting it its initial `n`-tuple and its last element. -/
@[elab_as_elim, inline]
def snocCases {P : (∀ i : Fin n.succ, α i) → Sort*}
(h : ∀ xs x, P (Fin.snoc xs x))
(x : ∀ i : Fin n.succ, α i) : P x :=
_root_.cast (by rw [Fin.snoc_init_self]) <| h (Fin.init x) (x <| Fin.last _)
@[simp] lemma snocCases_snoc
{P : (∀ i : Fin (n+1), α i) → Sort*} (h : ∀ x x₀, P (Fin.snoc x x₀))
(x : ∀ i : Fin n, (Fin.init α) i) (x₀ : α (Fin.last _)) :
snocCases h (Fin.snoc x x₀) = h x x₀ := by
rw [snocCases, cast_eq_iff_heq, Fin.init_snoc, Fin.snoc_last]
/-- Recurse on a tuple by splitting into `Fin.elim0` and `Fin.snoc`. -/
@[elab_as_elim]
def snocInduction {α : Sort*}
{P : ∀ {n : ℕ}, (Fin n → α) → Sort*}
(h0 : P Fin.elim0)
(h : ∀ {n} (x : Fin n → α) (x₀), P x → P (Fin.snoc x x₀)) : ∀ {n : ℕ} (x : Fin n → α), P x
| 0, x => by convert h0
| _ + 1, x => snocCases (fun _ _ ↦ h _ _ <| snocInduction h0 h _) x
end TupleRight
section InsertNth
variable {α : Fin (n + 1) → Sort*} {β : Sort*}
/- Porting note: Lean told me `(fun x x_1 ↦ α x)` was an invalid motive, but disabling
automatic insertion and specifying that motive seems to work. -/
/-- Define a function on `Fin (n + 1)` from a value on `i : Fin (n + 1)` and values on each
`Fin.succAbove i j`, `j : Fin n`. This version is elaborated as eliminator and works for
propositions, see also `Fin.insertNth` for a version without an `@[elab_as_elim]`
attribute. -/
@[elab_as_elim]
def succAboveCases {α : Fin (n + 1) → Sort u} (i : Fin (n + 1)) (x : α i)
(p : ∀ j : Fin n, α (i.succAbove j)) (j : Fin (n + 1)) : α j :=
if hj : j = i then Eq.rec x hj.symm
else
if hlt : j < i then @Eq.recOn _ _ (fun x _ ↦ α x) _ (succAbove_castPred_of_lt _ _ hlt) (p _)
else @Eq.recOn _ _ (fun x _ ↦ α x) _ (succAbove_pred_of_lt _ _ <|
(Fin.lt_or_lt_of_ne hj).resolve_left hlt) (p _)
-- This is a duplicate of `Fin.exists_fin_succ` in Core. We should upstream the name change.
alias forall_iff_succ := forall_fin_succ
-- This is a duplicate of `Fin.exists_fin_succ` in Core. We should upstream the name change.
alias exists_iff_succ := exists_fin_succ
lemma forall_iff_castSucc {P : Fin (n + 1) → Prop} :
(∀ i, P i) ↔ P (last n) ∧ ∀ i : Fin n, P i.castSucc :=
⟨fun h ↦ ⟨h _, fun _ ↦ h _⟩, fun h ↦ lastCases h.1 h.2⟩
lemma exists_iff_castSucc {P : Fin (n + 1) → Prop} :
(∃ i, P i) ↔ P (last n) ∨ ∃ i : Fin n, P i.castSucc where
mp := by
rintro ⟨i, hi⟩
induction' i using lastCases
· exact .inl hi
· exact .inr ⟨_, hi⟩
mpr := by rintro (h | ⟨i, hi⟩) <;> exact ⟨_, ‹_›⟩
theorem forall_iff_succAbove {P : Fin (n + 1) → Prop} (p : Fin (n + 1)) :
(∀ i, P i) ↔ P p ∧ ∀ i, P (p.succAbove i) :=
⟨fun h ↦ ⟨h _, fun _ ↦ h _⟩, fun h ↦ succAboveCases p h.1 h.2⟩
lemma exists_iff_succAbove {P : Fin (n + 1) → Prop} (p : Fin (n + 1)) :
(∃ i, P i) ↔ P p ∨ ∃ i, P (p.succAbove i) where
mp := by
rintro ⟨i, hi⟩
induction' i using p.succAboveCases
· exact .inl hi
· exact .inr ⟨_, hi⟩
mpr := by rintro (h | ⟨i, hi⟩) <;> exact ⟨_, ‹_›⟩
/-- Analogue of `Fin.eq_zero_or_eq_succ` for `succAbove`. -/
theorem eq_self_or_eq_succAbove (p i : Fin (n + 1)) : i = p ∨ ∃ j, i = p.succAbove j :=
succAboveCases p (.inl rfl) (fun j => .inr ⟨j, rfl⟩) i
/-- Remove the `p`-th entry of a tuple. -/
def removeNth (p : Fin (n + 1)) (f : ∀ i, α i) : ∀ i, α (p.succAbove i) := fun i ↦ f (p.succAbove i)
/-- Insert an element into a tuple at a given position. For `i = 0` see `Fin.cons`,
for `i = Fin.last n` see `Fin.snoc`. See also `Fin.succAboveCases` for a version elaborated
as an eliminator. -/
def insertNth (i : Fin (n + 1)) (x : α i) (p : ∀ j : Fin n, α (i.succAbove j)) (j : Fin (n + 1)) :
α j :=
succAboveCases i x p j
@[simp]
theorem insertNth_apply_same (i : Fin (n + 1)) (x : α i) (p : ∀ j, α (i.succAbove j)) :
insertNth i x p i = x := by simp [insertNth, succAboveCases]
@[simp]
theorem insertNth_apply_succAbove (i : Fin (n + 1)) (x : α i) (p : ∀ j, α (i.succAbove j))
(j : Fin n) : insertNth i x p (i.succAbove j) = p j := by
simp only [insertNth, succAboveCases, dif_neg (succAbove_ne _ _), succAbove_lt_iff_castSucc_lt]
split_ifs with hlt
· generalize_proofs H₁ H₂; revert H₂
generalize hk : castPred ((succAbove i) j) H₁ = k
rw [castPred_succAbove _ _ hlt] at hk; cases hk
intro; rfl
· generalize_proofs H₀ H₁ H₂; revert H₂
generalize hk : pred (succAbove i j) H₁ = k
rw [pred_succAbove _ _ (Fin.not_lt.1 hlt)] at hk; cases hk
intro; rfl
@[simp]
theorem succAbove_cases_eq_insertNth : @succAboveCases = @insertNth :=
rfl
@[simp] lemma removeNth_insertNth (p : Fin (n + 1)) (a : α p) (f : ∀ i, α (succAbove p i)) :
removeNth p (insertNth p a f) = f := by ext; unfold removeNth; simp
@[simp] lemma removeNth_zero (f : ∀ i, α i) : removeNth 0 f = tail f := by
ext; simp [tail, removeNth]
@[simp] lemma removeNth_last {α : Type*} (f : Fin (n + 1) → α) : removeNth (last n) f = init f := by
ext; simp [init, removeNth]
@[simp]
theorem insertNth_comp_succAbove (i : Fin (n + 1)) (x : β) (p : Fin n → β) :
insertNth i x p ∘ i.succAbove = p :=
funext (insertNth_apply_succAbove i _ _)
theorem insertNth_eq_iff {p : Fin (n + 1)} {a : α p} {f : ∀ i, α (p.succAbove i)} {g : ∀ j, α j} :
insertNth p a f = g ↔ a = g p ∧ f = removeNth p g := by
simp [funext_iff, forall_iff_succAbove p, removeNth]
theorem eq_insertNth_iff {p : Fin (n + 1)} {a : α p} {f : ∀ i, α (p.succAbove i)} {g : ∀ j, α j} :
g = insertNth p a f ↔ g p = a ∧ removeNth p g = f := by
simpa [eq_comm] using insertNth_eq_iff
/-- As a binary function, `Fin.insertNth` is injective. -/
theorem insertNth_injective2 {p : Fin (n + 1)} :
Function.Injective2 (@insertNth n α p) := fun xₚ yₚ x y h ↦
⟨by simpa using congr_fun h p, funext fun i ↦ by simpa using congr_fun h (succAbove p i)⟩
@[simp]
theorem insertNth_inj {p : Fin (n + 1)} {x y : ∀ i, α (succAbove p i)} {xₚ yₚ : α p} :
insertNth p xₚ x = insertNth p yₚ y ↔ xₚ = yₚ ∧ x = y :=
insertNth_injective2.eq_iff
theorem insertNth_left_injective {p : Fin (n + 1)} (x : ∀ i, α (succAbove p i)) :
Function.Injective (insertNth p · x) :=
insertNth_injective2.left _
theorem insertNth_right_injective {p : Fin (n + 1)} (x : α p) :
Function.Injective (insertNth p x) :=
insertNth_injective2.right _
/- Porting note: Once again, Lean told me `(fun x x_1 ↦ α x)` was an invalid motive, but disabling
automatic insertion and specifying that motive seems to work. -/
theorem insertNth_apply_below {i j : Fin (n + 1)} (h : j < i) (x : α i)
(p : ∀ k, α (i.succAbove k)) :
i.insertNth x p j = @Eq.recOn _ _ (fun x _ ↦ α x) _
(succAbove_castPred_of_lt _ _ h) (p <| j.castPred _) := by
rw [insertNth, succAboveCases, dif_neg (Fin.ne_of_lt h), dif_pos h]
/- Porting note: Once again, Lean told me `(fun x x_1 ↦ α x)` was an invalid motive, but disabling
automatic insertion and specifying that motive seems to work. -/
theorem insertNth_apply_above {i j : Fin (n + 1)} (h : i < j) (x : α i)
(p : ∀ k, α (i.succAbove k)) :
i.insertNth x p j = @Eq.recOn _ _ (fun x _ ↦ α x) _
(succAbove_pred_of_lt _ _ h) (p <| j.pred _) := by
rw [insertNth, succAboveCases, dif_neg (Fin.ne_of_gt h), dif_neg (Fin.lt_asymm h)]
theorem insertNth_zero (x : α 0) (p : ∀ j : Fin n, α (succAbove 0 j)) :
insertNth 0 x p =
cons x fun j ↦ _root_.cast (congr_arg α (congr_fun succAbove_zero j)) (p j) := by
refine insertNth_eq_iff.2 ⟨by simp, ?_⟩
ext j
convert (cons_succ x p j).symm
@[simp]
theorem insertNth_zero' (x : β) (p : Fin n → β) : @insertNth _ (fun _ ↦ β) 0 x p = cons x p := by
simp [insertNth_zero]
theorem insertNth_last (x : α (last n)) (p : ∀ j : Fin n, α ((last n).succAbove j)) :
insertNth (last n) x p =
snoc (fun j ↦ _root_.cast (congr_arg α (succAbove_last_apply j)) (p j)) x := by
refine insertNth_eq_iff.2 ⟨by simp, ?_⟩
ext j
apply eq_of_heq
trans snoc (fun j ↦ _root_.cast (congr_arg α (succAbove_last_apply j)) (p j)) x j.castSucc
· rw [snoc_castSucc]
exact (cast_heq _ _).symm
· apply congr_arg_heq
rw [succAbove_last]
@[simp]
theorem insertNth_last' (x : β) (p : Fin n → β) :
@insertNth _ (fun _ ↦ β) (last n) x p = snoc p x := by simp [insertNth_last]
lemma insertNth_rev {α : Sort*} (i : Fin (n + 1)) (a : α) (f : Fin n → α) (j : Fin (n + 1)) :
insertNth (α := fun _ ↦ α) i a f (rev j) = insertNth (α := fun _ ↦ α) i.rev a (f ∘ rev) j := by
induction j using Fin.succAboveCases
· exact rev i
· simp
· simp [rev_succAbove]
theorem insertNth_comp_rev {α} (i : Fin (n + 1)) (x : α) (p : Fin n → α) :
(Fin.insertNth i x p) ∘ Fin.rev = Fin.insertNth (Fin.rev i) x (p ∘ Fin.rev) := by
funext x
apply insertNth_rev
theorem cons_rev {α n} (a : α) (f : Fin n → α) (i : Fin <| n + 1) :
cons (α := fun _ => α) a f i.rev = snoc (α := fun _ => α) (f ∘ Fin.rev : Fin _ → α) a i := by
simpa using insertNth_rev 0 a f i
theorem cons_comp_rev {α n} (a : α) (f : Fin n → α) :
Fin.cons a f ∘ Fin.rev = Fin.snoc (f ∘ Fin.rev) a := by
funext i; exact cons_rev ..
theorem snoc_rev {α n} (a : α) (f : Fin n → α) (i : Fin <| n + 1) :
snoc (α := fun _ => α) f a i.rev = cons (α := fun _ => α) a (f ∘ Fin.rev : Fin _ → α) i := by
simpa using insertNth_rev (last n) a f i
theorem snoc_comp_rev {α n} (a : α) (f : Fin n → α) :
Fin.snoc f a ∘ Fin.rev = Fin.cons a (f ∘ Fin.rev) :=
funext <| snoc_rev a f
theorem insertNth_binop (op : ∀ j, α j → α j → α j) (i : Fin (n + 1)) (x y : α i)
(p q : ∀ j, α (i.succAbove j)) :
(i.insertNth (op i x y) fun j ↦ op _ (p j) (q j)) = fun j ↦
op j (i.insertNth x p j) (i.insertNth y q j) :=
insertNth_eq_iff.2 <| by unfold removeNth; simp
section Preorder
variable {α : Fin (n + 1) → Type*} [∀ i, Preorder (α i)]
theorem insertNth_le_iff {i : Fin (n + 1)} {x : α i} {p : ∀ j, α (i.succAbove j)} {q : ∀ j, α j} :
i.insertNth x p ≤ q ↔ x ≤ q i ∧ p ≤ fun j ↦ q (i.succAbove j) := by
simp [Pi.le_def, forall_iff_succAbove i]
theorem le_insertNth_iff {i : Fin (n + 1)} {x : α i} {p : ∀ j, α (i.succAbove j)} {q : ∀ j, α j} :
q ≤ i.insertNth x p ↔ q i ≤ x ∧ (fun j ↦ q (i.succAbove j)) ≤ p := by
simp [Pi.le_def, forall_iff_succAbove i]
end Preorder
open Set
@[simp] lemma removeNth_update (p : Fin (n + 1)) (x) (f : ∀ j, α j) :
removeNth p (update f p x) = removeNth p f := by ext i; simp [removeNth, succAbove_ne]
@[simp] lemma insertNth_removeNth (p : Fin (n + 1)) (x) (f : ∀ j, α j) :
insertNth p x (removeNth p f) = update f p x := by simp [Fin.insertNth_eq_iff]
lemma insertNth_self_removeNth (p : Fin (n + 1)) (f : ∀ j, α j) :
insertNth p (f p) (removeNth p f) = f := by simp
@[simp]
theorem update_insertNth (p : Fin (n + 1)) (x y : α p) (f : ∀ i, α (p.succAbove i)) :
update (p.insertNth x f) p y = p.insertNth y f := by
ext i
cases i using p.succAboveCases <;> simp [succAbove_ne]
/-- Equivalence between tuples of length `n + 1` and pairs of an element and a tuple of length `n`
given by separating out the `p`-th element of the tuple.
This is `Fin.insertNth` as an `Equiv`. -/
@[simps]
def insertNthEquiv (α : Fin (n + 1) → Type u) (p : Fin (n + 1)) :
α p × (∀ i, α (p.succAbove i)) ≃ ∀ i, α i where
toFun f := insertNth p f.1 f.2
invFun f := (f p, removeNth p f)
left_inv f := by ext <;> simp
right_inv f := by simp
@[simp] lemma insertNthEquiv_zero (α : Fin (n + 1) → Type*) : insertNthEquiv α 0 = consEquiv α :=
Equiv.symm_bijective.injective <| by ext <;> rfl
/-- Note this lemma can only be written about non-dependent tuples as `insertNth (last n) = snoc` is
not a definitional equality. -/
@[simp] lemma insertNthEquiv_last (n : ℕ) (α : Type*) :
insertNthEquiv (fun _ ↦ α) (last n) = snocEquiv (fun _ ↦ α) := by ext; simp
end InsertNth
section Find
/-- `find p` returns the first index `n` where `p n` is satisfied, and `none` if it is never
satisfied. -/
def find : ∀ {n : ℕ} (p : Fin n → Prop) [DecidablePred p], Option (Fin n)
| 0, _p, _ => none
| n + 1, p, _ => by
exact
Option.casesOn (@find n (fun i ↦ p (i.castLT (Nat.lt_succ_of_lt i.2))) _)
(if _ : p (Fin.last n) then some (Fin.last n) else none) fun i ↦
some (i.castLT (Nat.lt_succ_of_lt i.2))
/-- If `find p = some i`, then `p i` holds -/
theorem find_spec :
∀ {n : ℕ} (p : Fin n → Prop) [DecidablePred p] {i : Fin n} (_ : i ∈ Fin.find p), p i
| 0, _, _, _, hi => Option.noConfusion hi
| n + 1, p, I, i, hi => by
rw [find] at hi
rcases h : find fun i : Fin n ↦ p (i.castLT (Nat.lt_succ_of_lt i.2)) with - | j
· rw [h] at hi
dsimp at hi
split_ifs at hi with hl
· simp only [Option.mem_def, Option.some.injEq] at hi
exact hi ▸ hl
· exact (Option.not_mem_none _ hi).elim
· rw [h] at hi
dsimp at hi
rw [← Option.some_inj.1 hi]
exact @find_spec n (fun i ↦ p (i.castLT (Nat.lt_succ_of_lt i.2))) _ _ h
/-- `find p` does not return `none` if and only if `p i` holds at some index `i`. -/
theorem isSome_find_iff :
∀ {n : ℕ} {p : Fin n → Prop} [DecidablePred p], (find p).isSome ↔ ∃ i, p i
| 0, _, _ => iff_of_false (fun h ↦ Bool.noConfusion h) fun ⟨i, _⟩ ↦ Fin.elim0 i
| n + 1, p, _ =>
⟨fun h ↦ by
rw [Option.isSome_iff_exists] at h
obtain ⟨i, hi⟩ := h
exact ⟨i, find_spec _ hi⟩, fun ⟨⟨i, hin⟩, hi⟩ ↦ by
dsimp [find]
rcases h : find fun i : Fin n ↦ p (i.castLT (Nat.lt_succ_of_lt i.2)) with - | j
· split_ifs with hl
· exact Option.isSome_some
· have := (@isSome_find_iff n (fun x ↦ p (x.castLT (Nat.lt_succ_of_lt x.2))) _).2
⟨⟨i, lt_of_le_of_ne (Nat.le_of_lt_succ hin) fun h ↦ by cases h; exact hl hi⟩, hi⟩
rw [h] at this
exact this
· simp⟩
/-- `find p` returns `none` if and only if `p i` never holds. -/
theorem find_eq_none_iff {n : ℕ} {p : Fin n → Prop} [DecidablePred p] :
find p = none ↔ ∀ i, ¬p i := by rw [← not_exists, ← isSome_find_iff]; cases find p <;> simp
/-- If `find p` returns `some i`, then `p j` does not hold for `j < i`, i.e., `i` is minimal among
the indices where `p` holds. -/
theorem find_min :
∀ {n : ℕ} {p : Fin n → Prop} [DecidablePred p] {i : Fin n} (_ : i ∈ Fin.find p) {j : Fin n}
(_ : j < i), ¬p j
| 0, _, _, _, hi, _, _, _ => Option.noConfusion hi
| n + 1, p, _, i, hi, ⟨j, hjn⟩, hj, hpj => by
rw [find] at hi
rcases h : find fun i : Fin n ↦ p (i.castLT (Nat.lt_succ_of_lt i.2)) with - | k
· simp only [h] at hi
split_ifs at hi with hl
· cases hi
rw [find_eq_none_iff] at h
exact h ⟨j, hj⟩ hpj
· exact Option.not_mem_none _ hi
· rw [h] at hi
dsimp at hi
obtain rfl := Option.some_inj.1 hi
exact find_min h (show (⟨j, lt_trans hj k.2⟩ : Fin n) < k from hj) hpj
theorem find_min' {p : Fin n → Prop} [DecidablePred p] {i : Fin n} (h : i ∈ Fin.find p) {j : Fin n}
(hj : p j) : i ≤ j := Fin.not_lt.1 fun hij ↦ find_min h hij hj
theorem nat_find_mem_find {p : Fin n → Prop} [DecidablePred p]
(h : ∃ i, ∃ hin : i < n, p ⟨i, hin⟩) :
(⟨Nat.find h, (Nat.find_spec h).fst⟩ : Fin n) ∈ find p := by
let ⟨i, hin, hi⟩ := h
rcases hf : find p with - | f
· rw [find_eq_none_iff] at hf
exact (hf ⟨i, hin⟩ hi).elim
· refine Option.some_inj.2 (Fin.le_antisymm ?_ ?_)
· exact find_min' hf (Nat.find_spec h).snd
· exact Nat.find_min' _ ⟨f.2, by convert find_spec p hf⟩
theorem mem_find_iff {p : Fin n → Prop} [DecidablePred p] {i : Fin n} :
i ∈ Fin.find p ↔ p i ∧ ∀ j, p j → i ≤ j :=
⟨fun hi ↦ ⟨find_spec _ hi, fun _ ↦ find_min' hi⟩, by
rintro ⟨hpi, hj⟩
cases hfp : Fin.find p
· rw [find_eq_none_iff] at hfp
exact (hfp _ hpi).elim
· exact Option.some_inj.2 (Fin.le_antisymm (find_min' hfp hpi) (hj _ (find_spec _ hfp)))⟩
theorem find_eq_some_iff {p : Fin n → Prop} [DecidablePred p] {i : Fin n} :
Fin.find p = some i ↔ p i ∧ ∀ j, p j → i ≤ j :=
mem_find_iff
theorem mem_find_of_unique {p : Fin n → Prop} [DecidablePred p] (h : ∀ i j, p i → p j → i = j)
{i : Fin n} (hi : p i) : i ∈ Fin.find p :=
mem_find_iff.2 ⟨hi, fun j hj ↦ Fin.le_of_eq <| h i j hi hj⟩
end Find
section ContractNth
variable {α : Sort*}
/-- Sends `(g₀, ..., gₙ)` to `(g₀, ..., op gⱼ gⱼ₊₁, ..., gₙ)`. -/
def contractNth (j : Fin (n + 1)) (op : α → α → α) (g : Fin (n + 1) → α) (k : Fin n) : α :=
if (k : ℕ) < j then g (Fin.castSucc k)
else if (k : ℕ) = j then op (g (Fin.castSucc k)) (g k.succ) else g k.succ
theorem contractNth_apply_of_lt (j : Fin (n + 1)) (op : α → α → α) (g : Fin (n + 1) → α) (k : Fin n)
(h : (k : ℕ) < j) : contractNth j op g k = g (Fin.castSucc k) :=
if_pos h
theorem contractNth_apply_of_eq (j : Fin (n + 1)) (op : α → α → α) (g : Fin (n + 1) → α) (k : Fin n)
(h : (k : ℕ) = j) : contractNth j op g k = op (g (Fin.castSucc k)) (g k.succ) := by
have : ¬(k : ℕ) < j := not_lt.2 (le_of_eq h.symm)
rw [contractNth, if_neg this, if_pos h]
theorem contractNth_apply_of_gt (j : Fin (n + 1)) (op : α → α → α) (g : Fin (n + 1) → α) (k : Fin n)
(h : (j : ℕ) < k) : contractNth j op g k = g k.succ := by
rw [contractNth, if_neg (not_lt_of_gt h), if_neg (Ne.symm <| ne_of_lt h)]
theorem contractNth_apply_of_ne (j : Fin (n + 1)) (op : α → α → α) (g : Fin (n + 1) → α) (k : Fin n)
(hjk : (j : ℕ) ≠ k) : contractNth j op g k = g (j.succAbove k) := by
rcases lt_trichotomy (k : ℕ) j with (h | h | h)
· rwa [j.succAbove_of_castSucc_lt, contractNth_apply_of_lt]
· rwa [Fin.lt_iff_val_lt_val]
· exact False.elim (hjk h.symm)
· rwa [j.succAbove_of_le_castSucc, contractNth_apply_of_gt]
· exact Fin.le_iff_val_le_val.2 (le_of_lt h)
lemma comp_contractNth {β : Sort*} (opα : α → α → α) (opβ : β → β → β) {f : α → β}
(hf : ∀ x y, f (opα x y) = opβ (f x) (f y)) (j : Fin (n + 1)) (g : Fin (n + 1) → α) :
f ∘ contractNth j opα g = contractNth j opβ (f ∘ g) := by
ext x
rcases lt_trichotomy (x : ℕ) j with (h|h|h)
· simp only [Function.comp_apply, contractNth_apply_of_lt, h]
· simp only [Function.comp_apply, contractNth_apply_of_eq, h, hf]
· simp only [Function.comp_apply, contractNth_apply_of_gt, h]
end ContractNth
/-- To show two sigma pairs of tuples agree, it to show the second elements are related via
`Fin.cast`. -/
theorem sigma_eq_of_eq_comp_cast {α : Type*} :
∀ {a b : Σ ii, Fin ii → α} (h : a.fst = b.fst), a.snd = b.snd ∘ Fin.cast h → a = b
| ⟨ai, a⟩, ⟨bi, b⟩, hi, h => by
dsimp only at hi
subst hi
simpa using h
/-- `Fin.sigma_eq_of_eq_comp_cast` as an `iff`. -/
theorem sigma_eq_iff_eq_comp_cast {α : Type*} {a b : Σ ii, Fin ii → α} :
a = b ↔ ∃ h : a.fst = b.fst, a.snd = b.snd ∘ Fin.cast h :=
⟨fun h ↦ h ▸ ⟨rfl, funext <| Fin.rec fun _ _ ↦ rfl⟩, fun ⟨_, h'⟩ ↦
sigma_eq_of_eq_comp_cast _ h'⟩
end Fin
/-- `Π i : Fin 2, α i` is equivalent to `α 0 × α 1`. See also `finTwoArrowEquiv` for a
non-dependent version and `prodEquivPiFinTwo` for a version with inputs `α β : Type u`. -/
@[simps -fullyApplied]
def piFinTwoEquiv (α : Fin 2 → Type u) : (∀ i, α i) ≃ α 0 × α 1 where
toFun f := (f 0, f 1)
invFun p := Fin.cons p.1 <| Fin.cons p.2 finZeroElim
left_inv _ := funext <| Fin.forall_fin_two.2 ⟨rfl, rfl⟩
right_inv := fun _ => rfl
| Mathlib/Data/Fin/Tuple/Basic.lean | 1,178 | 1,185 | |
/-
Copyright (c) 2021 Joseph Myers. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Joseph Myers
-/
import Mathlib.LinearAlgebra.Ray
import Mathlib.LinearAlgebra.Determinant
/-!
# Orientations of modules
This file defines orientations of modules.
## Main definitions
* `Orientation` is a type synonym for `Module.Ray` for the case where the module is that of
alternating maps from a module to its underlying ring. An orientation may be associated with an
alternating map or with a basis.
* `Module.Oriented` is a type class for a choice of orientation of a module that is considered
the positive orientation.
## Implementation notes
`Orientation` is defined for an arbitrary index type, but the main intended use case is when
that index type is a `Fintype` and there exists a basis of the same cardinality.
## References
* https://en.wikipedia.org/wiki/Orientation_(vector_space)
-/
noncomputable section
section OrderedCommSemiring
variable (R : Type*) [CommSemiring R] [PartialOrder R] [IsStrictOrderedRing R]
variable (M : Type*) [AddCommMonoid M] [Module R M]
variable {N : Type*} [AddCommMonoid N] [Module R N]
variable (ι ι' : Type*)
/-- An orientation of a module, intended to be used when `ι` is a `Fintype` with the same
cardinality as a basis. -/
abbrev Orientation := Module.Ray R (M [⋀^ι]→ₗ[R] R)
/-- A type class fixing an orientation of a module. -/
class Module.Oriented where
/-- Fix a positive orientation. -/
positiveOrientation : Orientation R M ι
export Module.Oriented (positiveOrientation)
variable {R M}
/-- An equivalence between modules implies an equivalence between orientations. -/
def Orientation.map (e : M ≃ₗ[R] N) : Orientation R M ι ≃ Orientation R N ι :=
Module.Ray.map <| AlternatingMap.domLCongr R R ι R e
@[simp]
theorem Orientation.map_apply (e : M ≃ₗ[R] N) (v : M [⋀^ι]→ₗ[R] R) (hv : v ≠ 0) :
Orientation.map ι e (rayOfNeZero _ v hv) =
rayOfNeZero _ (v.compLinearMap e.symm) (mt (v.compLinearEquiv_eq_zero_iff e.symm).mp hv) :=
rfl
@[simp]
theorem Orientation.map_refl : (Orientation.map ι <| LinearEquiv.refl R M) = Equiv.refl _ := by
rw [Orientation.map, AlternatingMap.domLCongr_refl, Module.Ray.map_refl]
@[simp]
theorem Orientation.map_symm (e : M ≃ₗ[R] N) :
(Orientation.map ι e).symm = Orientation.map ι e.symm := rfl
section Reindex
variable (R M) {ι ι'}
/-- An equivalence between indices implies an equivalence between orientations. -/
def Orientation.reindex (e : ι ≃ ι') : Orientation R M ι ≃ Orientation R M ι' :=
Module.Ray.map <| AlternatingMap.domDomCongrₗ R e
@[simp]
theorem Orientation.reindex_apply (e : ι ≃ ι') (v : M [⋀^ι]→ₗ[R] R) (hv : v ≠ 0) :
Orientation.reindex R M e (rayOfNeZero _ v hv) =
rayOfNeZero _ (v.domDomCongr e) (mt (v.domDomCongr_eq_zero_iff e).mp hv) :=
rfl
@[simp]
theorem Orientation.reindex_refl : (Orientation.reindex R M <| Equiv.refl ι) = Equiv.refl _ := by
rw [Orientation.reindex, AlternatingMap.domDomCongrₗ_refl, Module.Ray.map_refl]
@[simp]
theorem Orientation.reindex_symm (e : ι ≃ ι') :
(Orientation.reindex R M e).symm = Orientation.reindex R M e.symm :=
rfl
end Reindex
/-- A module is canonically oriented with respect to an empty index type. -/
instance (priority := 100) IsEmpty.oriented [IsEmpty ι] : Module.Oriented R M ι where
positiveOrientation :=
rayOfNeZero R (AlternatingMap.constLinearEquivOfIsEmpty 1) <|
AlternatingMap.constLinearEquivOfIsEmpty.injective.ne (by exact one_ne_zero)
@[simp]
theorem Orientation.map_positiveOrientation_of_isEmpty [IsEmpty ι] (f : M ≃ₗ[R] N) :
Orientation.map ι f positiveOrientation = positiveOrientation := rfl
@[simp]
theorem Orientation.map_of_isEmpty [IsEmpty ι] (x : Orientation R M ι) (f : M ≃ₗ[R] M) :
Orientation.map ι f x = x := by
induction x using Module.Ray.ind with | h g hg =>
rw [Orientation.map_apply]
congr
ext i
rw [AlternatingMap.compLinearMap_apply]
congr
simp only [LinearEquiv.coe_coe, eq_iff_true_of_subsingleton]
end OrderedCommSemiring
section OrderedCommRing
| variable {R : Type*} [CommRing R] [PartialOrder R] [IsStrictOrderedRing R]
variable {M N : Type*} [AddCommGroup M] [AddCommGroup N] [Module R M] [Module R N]
@[simp]
protected theorem Orientation.map_neg {ι : Type*} (f : M ≃ₗ[R] N) (x : Orientation R M ι) :
Orientation.map ι f (-x) = -Orientation.map ι f x :=
Module.Ray.map_neg _ x
@[simp]
| Mathlib/LinearAlgebra/Orientation.lean | 125 | 133 |
/-
Copyright (c) 2018 Kenny Lau. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kenny Lau, Mario Carneiro, Johan Commelin, Amelia Livingston, Anne Baanen
-/
import Mathlib.RingTheory.Localization.AtPrime
import Mathlib.RingTheory.Localization.Basic
import Mathlib.RingTheory.Localization.FractionRing
/-!
# Localizations of localizations
## Implementation notes
See `Mathlib/RingTheory/Localization/Basic.lean` for a design overview.
## Tags
localization, ring localization, commutative ring localization, characteristic predicate,
commutative ring, field of fractions
-/
open Function
namespace IsLocalization
section LocalizationLocalization
variable {R : Type*} [CommSemiring R] (M : Submonoid R) {S : Type*} [CommSemiring S] [Algebra R S]
variable (N : Submonoid S) (T : Type*) [CommSemiring T] [Algebra R T]
section
variable [Algebra S T] [IsScalarTower R S T]
-- This should only be defined when `S` is the localization `M⁻¹R`, hence the nolint.
/-- Localizing wrt `M ⊆ R` and then wrt `N ⊆ S = M⁻¹R` is equal to the localization of `R` wrt this
module. See `localization_localization_isLocalization`.
-/
@[nolint unusedArguments]
def localizationLocalizationSubmodule : Submonoid R :=
(N ⊔ M.map (algebraMap R S)).comap (algebraMap R S)
variable {M N}
@[simp]
theorem mem_localizationLocalizationSubmodule {x : R} :
x ∈ localizationLocalizationSubmodule M N ↔
∃ (y : N) (z : M), algebraMap R S x = y * algebraMap R S z := by
rw [localizationLocalizationSubmodule, Submonoid.mem_comap, Submonoid.mem_sup]
constructor
· rintro ⟨y, hy, _, ⟨z, hz, rfl⟩, e⟩
exact ⟨⟨y, hy⟩, ⟨z, hz⟩, e.symm⟩
· rintro ⟨y, z, e⟩
exact ⟨y, y.prop, _, ⟨z, z.prop, rfl⟩, e.symm⟩
variable (M N)
variable [IsLocalization M S]
theorem localization_localization_map_units [IsLocalization N T]
(y : localizationLocalizationSubmodule M N) : IsUnit (algebraMap R T y) := by
obtain ⟨y', z, eq⟩ := mem_localizationLocalizationSubmodule.mp y.prop
rw [IsScalarTower.algebraMap_apply R S T, eq, RingHom.map_mul, IsUnit.mul_iff]
exact ⟨IsLocalization.map_units T y', (IsLocalization.map_units _ z).map (algebraMap S T)⟩
theorem localization_localization_surj [IsLocalization N T] (x : T) :
∃ y : R × localizationLocalizationSubmodule M N,
x * algebraMap R T y.2 = algebraMap R T y.1 := by
rcases IsLocalization.surj N x with ⟨⟨y, s⟩, eq₁⟩
-- x = y / s
rcases IsLocalization.surj M y with ⟨⟨z, t⟩, eq₂⟩
| -- y = z / t
rcases IsLocalization.surj M (s : S) with ⟨⟨z', t'⟩, eq₃⟩
-- s = z' / t'
dsimp only at eq₁ eq₂ eq₃
refine ⟨⟨z * t', z' * t, ?_⟩, ?_⟩ -- x = y / s = (z * t') / (z' * t)
· rw [mem_localizationLocalizationSubmodule]
refine ⟨s, t * t', ?_⟩
rw [RingHom.map_mul, ← eq₃, mul_assoc, ← RingHom.map_mul, mul_comm t, Submonoid.coe_mul]
· simp only [Subtype.coe_mk, RingHom.map_mul, IsScalarTower.algebraMap_apply R S T, ← eq₃, ← eq₂,
← eq₁]
ring
theorem localization_localization_exists_of_eq [IsLocalization N T] (x y : R) :
algebraMap R T x = algebraMap R T y →
∃ c : localizationLocalizationSubmodule M N, ↑c * x = ↑c * y := by
rw [IsScalarTower.algebraMap_apply R S T, IsScalarTower.algebraMap_apply R S T,
IsLocalization.eq_iff_exists N T]
| Mathlib/RingTheory/Localization/LocalizationLocalization.lean | 74 | 90 |
/-
Copyright (c) 2018 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro, Johannes Hölzl
-/
import Mathlib.MeasureTheory.Integral.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Lebesgue.Countable
import Mathlib.MeasureTheory.Integral.Lebesgue.MeasurePreserving
import Mathlib.MeasureTheory.Integral.Lebesgue.Norm
deprecated_module (since := "2025-04-13")
| Mathlib/MeasureTheory/Integral/Lebesgue.lean | 1,435 | 1,443 | |
/-
Copyright (c) 2014 Jeremy Avigad. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jeremy Avigad, Leonardo de Moura, Floris van Doorn, Yury Kudryashov, Neil Strickland
-/
import Mathlib.Algebra.Group.Defs
import Mathlib.Algebra.GroupWithZero.Defs
import Mathlib.Data.Int.Cast.Defs
import Mathlib.Tactic.Spread
import Mathlib.Util.AssertExists
import Mathlib.Tactic.StacksAttribute
/-!
# Semirings and rings
This file defines semirings, rings and domains. This is analogous to `Algebra.Group.Defs` and
`Algebra.Group.Basic`, the difference being that the former is about `+` and `*` separately, while
the present file is about their interaction.
## Main definitions
* `Distrib`: Typeclass for distributivity of multiplication over addition.
* `HasDistribNeg`: Typeclass for commutativity of negation and multiplication. This is useful when
dealing with multiplicative submonoids which are closed under negation without being closed under
addition, for example `Units`.
* `(NonUnital)(NonAssoc)(Semi)Ring`: Typeclasses for possibly non-unital or non-associative
rings and semirings. Some combinations are not defined yet because they haven't found use.
For Lie Rings, there is a type synonym `CommutatorRing` defined in
`Mathlib/Algebra/Algebra/NonUnitalHom.lean` turning the bracket into a multiplication so that the
instance `instNonUnitalNonAssocSemiringCommutatorRing` can be defined.
## Tags
`Semiring`, `CommSemiring`, `Ring`, `CommRing`, domain, `IsDomain`, nonzero, units
-/
/-!
Previously an import dependency on `Mathlib.Algebra.Group.Basic` had crept in.
In general, the `.Defs` files in the basic algebraic hierarchy should only depend on earlier `.Defs`
files, without importing `.Basic` theory development.
These `assert_not_exists` statements guard against this returning.
-/
assert_not_exists DivisionMonoid.toDivInvOneMonoid mul_rotate
universe u v
variable {α : Type u} {R : Type v}
open Function
/-!
### `Distrib` class
-/
/-- A typeclass stating that multiplication is left and right distributive
over addition. -/
class Distrib (R : Type*) extends Mul R, Add R where
/-- Multiplication is left distributive over addition -/
protected left_distrib : ∀ a b c : R, a * (b + c) = a * b + a * c
/-- Multiplication is right distributive over addition -/
protected right_distrib : ∀ a b c : R, (a + b) * c = a * c + b * c
/-- A typeclass stating that multiplication is left distributive over addition. -/
class LeftDistribClass (R : Type*) [Mul R] [Add R] : Prop where
/-- Multiplication is left distributive over addition -/
protected left_distrib : ∀ a b c : R, a * (b + c) = a * b + a * c
/-- A typeclass stating that multiplication is right distributive over addition. -/
class RightDistribClass (R : Type*) [Mul R] [Add R] : Prop where
/-- Multiplication is right distributive over addition -/
protected right_distrib : ∀ a b c : R, (a + b) * c = a * c + b * c
-- see Note [lower instance priority]
instance (priority := 100) Distrib.leftDistribClass (R : Type*) [Distrib R] : LeftDistribClass R :=
⟨Distrib.left_distrib⟩
-- see Note [lower instance priority]
instance (priority := 100) Distrib.rightDistribClass (R : Type*) [Distrib R] :
RightDistribClass R :=
⟨Distrib.right_distrib⟩
theorem left_distrib [Mul R] [Add R] [LeftDistribClass R] (a b c : R) :
a * (b + c) = a * b + a * c :=
LeftDistribClass.left_distrib a b c
alias mul_add := left_distrib
theorem right_distrib [Mul R] [Add R] [RightDistribClass R] (a b c : R) :
(a + b) * c = a * c + b * c :=
RightDistribClass.right_distrib a b c
alias add_mul := right_distrib
theorem distrib_three_right [Mul R] [Add R] [RightDistribClass R] (a b c d : R) :
(a + b + c) * d = a * d + b * d + c * d := by simp [right_distrib]
/-!
### Classes of semirings and rings
We make sure that the canonical path from `NonAssocSemiring` to `Ring` passes through `Semiring`,
as this is a path which is followed all the time in linear algebra where the defining semilinear map
`σ : R →+* S` depends on the `NonAssocSemiring` structure of `R` and `S` while the module
definition depends on the `Semiring` structure.
It is not currently possible to adjust priorities by hand (see https://github.com/leanprover/lean4/issues/2115). Instead, the last
declared instance is used, so we make sure that `Semiring` is declared after `NonAssocRing`, so
that `Semiring -> NonAssocSemiring` is tried before `NonAssocRing -> NonAssocSemiring`.
TODO: clean this once https://github.com/leanprover/lean4/issues/2115 is fixed
-/
/-- A not-necessarily-unital, not-necessarily-associative semiring. See `CommutatorRing` and the
documentation thereof in case you need a `NonUnitalNonAssocSemiring` instance on a Lie ring
or a Lie algebra. -/
class NonUnitalNonAssocSemiring (α : Type u) extends AddCommMonoid α, Distrib α, MulZeroClass α
/-- An associative but not-necessarily unital semiring. -/
class NonUnitalSemiring (α : Type u) extends NonUnitalNonAssocSemiring α, SemigroupWithZero α
/-- A unital but not-necessarily-associative semiring. -/
class NonAssocSemiring (α : Type u) extends NonUnitalNonAssocSemiring α, MulZeroOneClass α,
AddCommMonoidWithOne α
/-- A not-necessarily-unital, not-necessarily-associative ring. -/
class NonUnitalNonAssocRing (α : Type u) extends AddCommGroup α, NonUnitalNonAssocSemiring α
/-- An associative but not-necessarily unital ring. -/
class NonUnitalRing (α : Type*) extends NonUnitalNonAssocRing α, NonUnitalSemiring α
/-- A unital but not-necessarily-associative ring. -/
class NonAssocRing (α : Type*) extends NonUnitalNonAssocRing α, NonAssocSemiring α,
AddCommGroupWithOne α
/-- A `Semiring` is a type with addition, multiplication, a `0` and a `1` where addition is
commutative and associative, multiplication is associative and left and right distributive over
addition, and `0` and `1` are additive and multiplicative identities. -/
class Semiring (α : Type u) extends NonUnitalSemiring α, NonAssocSemiring α, MonoidWithZero α
/-- A `Ring` is a `Semiring` with negation making it an additive group. -/
class Ring (R : Type u) extends Semiring R, AddCommGroup R, AddGroupWithOne R
/-!
### Semirings
-/
section DistribMulOneClass
variable [Add α] [MulOneClass α]
theorem add_one_mul [RightDistribClass α] (a b : α) : (a + 1) * b = a * b + b := by
rw [add_mul, one_mul]
theorem mul_add_one [LeftDistribClass α] (a b : α) : a * (b + 1) = a * b + a := by
rw [mul_add, mul_one]
theorem one_add_mul [RightDistribClass α] (a b : α) : (1 + a) * b = b + a * b := by
rw [add_mul, one_mul]
theorem mul_one_add [LeftDistribClass α] (a b : α) : a * (1 + b) = a + a * b := by
rw [mul_add, mul_one]
end DistribMulOneClass
section NonAssocSemiring
variable [NonAssocSemiring α]
-- Porting note: was [has_add α] [mul_one_class α] [right_distrib_class α]
theorem two_mul (n : α) : 2 * n = n + n :=
(congrArg₂ _ one_add_one_eq_two.symm rfl).trans <| (right_distrib 1 1 n).trans (by rw [one_mul])
-- Porting note: was [has_add α] [mul_one_class α] [left_distrib_class α]
theorem mul_two (n : α) : n * 2 = n + n :=
(congrArg₂ _ rfl one_add_one_eq_two.symm).trans <| (left_distrib n 1 1).trans (by rw [mul_one])
end NonAssocSemiring
section MulZeroClass
variable [MulZeroClass α] (P Q : Prop) [Decidable P] [Decidable Q] (a b : α)
lemma ite_zero_mul : ite P a 0 * b = ite P (a * b) 0 := by simp
lemma mul_ite_zero : a * ite P b 0 = ite P (a * b) 0 := by simp
lemma ite_zero_mul_ite_zero : ite P a 0 * ite Q b 0 = ite (P ∧ Q) (a * b) 0 := by
simp only [← ite_and, ite_mul, mul_ite, mul_zero, zero_mul, and_comm]
end MulZeroClass
theorem mul_boole {α} [MulZeroOneClass α] (P : Prop) [Decidable P] (a : α) :
(a * if P then 1 else 0) = if P then a else 0 := by simp
theorem boole_mul {α} [MulZeroOneClass α] (P : Prop) [Decidable P] (a : α) :
(if P then 1 else 0) * a = if P then a else 0 := by simp
/-- A not-necessarily-unital, not-necessarily-associative, but commutative semiring. -/
class NonUnitalNonAssocCommSemiring (α : Type u) extends NonUnitalNonAssocSemiring α, CommMagma α
/-- A non-unital commutative semiring is a `NonUnitalSemiring` with commutative multiplication.
In other words, it is a type with the following structures: additive commutative monoid
(`AddCommMonoid`), commutative semigroup (`CommSemigroup`), distributive laws (`Distrib`), and
multiplication by zero law (`MulZeroClass`). -/
class NonUnitalCommSemiring (α : Type u) extends NonUnitalSemiring α, CommSemigroup α
/-- A commutative semiring is a semiring with commutative multiplication. -/
class CommSemiring (R : Type u) extends Semiring R, CommMonoid R
-- see Note [lower instance priority]
instance (priority := 100) CommSemiring.toNonUnitalCommSemiring [CommSemiring α] :
NonUnitalCommSemiring α :=
{ inferInstanceAs (CommMonoid α), inferInstanceAs (CommSemiring α) with }
-- see Note [lower instance priority]
instance (priority := 100) CommSemiring.toCommMonoidWithZero [CommSemiring α] :
CommMonoidWithZero α :=
{ inferInstanceAs (CommMonoid α), inferInstanceAs (CommSemiring α) with }
section CommSemiring
variable [CommSemiring α]
theorem add_mul_self_eq (a b : α) : (a + b) * (a + b) = a * a + 2 * a * b + b * b := by
simp only [two_mul, add_mul, mul_add, add_assoc, mul_comm b]
lemma add_sq (a b : α) : (a + b) ^ 2 = a ^ 2 + 2 * a * b + b ^ 2 := by
simp only [sq, add_mul_self_eq]
lemma add_sq' (a b : α) : (a + b) ^ 2 = a ^ 2 + b ^ 2 + 2 * a * b := by
rw [add_sq, add_assoc, add_comm _ (b ^ 2), add_assoc]
alias add_pow_two := add_sq
end CommSemiring
section HasDistribNeg
/-- Typeclass for a negation operator that distributes across multiplication.
This is useful for dealing with submonoids of a ring that contain `-1` without having to duplicate
lemmas. -/
| class HasDistribNeg (α : Type*) [Mul α] extends InvolutiveNeg α where
/-- Negation is left distributive over multiplication -/
| Mathlib/Algebra/Ring/Defs.lean | 244 | 245 |
/-
Copyright (c) 2018 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro, Abhimanyu Pallavi Sudhir, Jean Lo, Calle Sönne, Yury Kudryashov
-/
import Mathlib.Algebra.Algebra.Rat
import Mathlib.Data.Nat.Prime.Int
import Mathlib.Data.Rat.Sqrt
import Mathlib.Data.Real.Sqrt
import Mathlib.RingTheory.Algebraic.Basic
import Mathlib.Tactic.IntervalCases
/-!
# Irrational real numbers
In this file we define a predicate `Irrational` on `ℝ`, prove that the `n`-th root of an integer
number is irrational if it is not integer, and that `√(q : ℚ)` is irrational if and only if
`¬IsSquare q ∧ 0 ≤ q`.
We also provide dot-style constructors like `Irrational.add_rat`, `Irrational.rat_sub` etc.
With the `Decidable` instances in this file, is possible to prove `Irrational √n` using `decide`,
when `n` is a numeric literal or cast;
but this only works if you `unseal Nat.sqrt.iter in` before the theorem where you use this proof.
-/
open Rat Real
/-- A real number is irrational if it is not equal to any rational number. -/
def Irrational (x : ℝ) :=
x ∉ Set.range ((↑) : ℚ → ℝ)
theorem irrational_iff_ne_rational (x : ℝ) : Irrational x ↔ ∀ a b : ℤ, x ≠ a / b := by
simp only [Irrational, Rat.forall, cast_mk, not_exists, Set.mem_range, cast_intCast, cast_div,
eq_comm]
/-- A transcendental real number is irrational. -/
theorem Transcendental.irrational {r : ℝ} (tr : Transcendental ℚ r) : Irrational r := by
rintro ⟨a, rfl⟩
exact tr (isAlgebraic_algebraMap a)
/-!
### Irrationality of roots of integer and rational numbers
-/
/-- If `x^n`, `n > 0`, is integer and is not the `n`-th power of an integer, then
`x` is irrational. -/
theorem irrational_nrt_of_notint_nrt {x : ℝ} (n : ℕ) (m : ℤ) (hxr : x ^ n = m)
(hv : ¬∃ y : ℤ, x = y) (hnpos : 0 < n) : Irrational x := by
rintro ⟨⟨N, D, P, C⟩, rfl⟩
rw [← cast_pow] at hxr
have c1 : ((D : ℤ) : ℝ) ≠ 0 := by
rw [Int.cast_ne_zero, Int.natCast_ne_zero]
exact P
have c2 : ((D : ℤ) : ℝ) ^ n ≠ 0 := pow_ne_zero _ c1
rw [mk'_eq_divInt, cast_pow, cast_mk, div_pow, div_eq_iff_mul_eq c2, ← Int.cast_pow,
← Int.cast_pow, ← Int.cast_mul, Int.cast_inj] at hxr
have hdivn : (D : ℤ) ^ n ∣ N ^ n := Dvd.intro_left m hxr
rw [← Int.dvd_natAbs, ← Int.natCast_pow, Int.natCast_dvd_natCast, Int.natAbs_pow,
Nat.pow_dvd_pow_iff hnpos.ne'] at hdivn
obtain rfl : D = 1 := by rw [← Nat.gcd_eq_right hdivn, C.gcd_eq_one]
refine hv ⟨N, ?_⟩
rw [mk'_eq_divInt, Int.ofNat_one, divInt_one, cast_intCast]
/-- If `x^n = m` is an integer and `n` does not divide the `multiplicity p m`, then `x`
is irrational. -/
theorem irrational_nrt_of_n_not_dvd_multiplicity {x : ℝ} (n : ℕ) {m : ℤ} (hm : m ≠ 0) (p : ℕ)
[hp : Fact p.Prime] (hxr : x ^ n = m)
(hv : multiplicity (p : ℤ) m % n ≠ 0) :
Irrational x := by
rcases Nat.eq_zero_or_pos n with (rfl | hnpos)
· rw [eq_comm, pow_zero, ← Int.cast_one, Int.cast_inj] at hxr
simp [hxr, multiplicity_of_one_right (mt isUnit_iff_dvd_one.1
(mt Int.natCast_dvd_natCast.1 hp.1.not_dvd_one)), Nat.zero_mod] at hv
refine irrational_nrt_of_notint_nrt _ _ hxr ?_ hnpos
rintro ⟨y, rfl⟩
rw [← Int.cast_pow, Int.cast_inj] at hxr
subst m
have : y ≠ 0 := by rintro rfl; rw [zero_pow hnpos.ne'] at hm; exact hm rfl
rw [(Int.finiteMultiplicity_iff.2 ⟨by simp [hp.1.ne_one], this⟩).multiplicity_pow
(Nat.prime_iff_prime_int.1 hp.1), Nat.mul_mod_right] at hv
exact hv rfl
theorem irrational_sqrt_of_multiplicity_odd (m : ℤ) (hm : 0 < m) (p : ℕ) [hp : Fact p.Prime]
(Hpv : multiplicity (p : ℤ) m % 2 = 1) :
Irrational (√m) :=
@irrational_nrt_of_n_not_dvd_multiplicity _ 2 _ (Ne.symm (ne_of_lt hm)) p hp
(sq_sqrt (Int.cast_nonneg.2 <| le_of_lt hm)) (by rw [Hpv]; exact one_ne_zero)
@[simp] theorem not_irrational_zero : ¬Irrational 0 := not_not_intro ⟨0, Rat.cast_zero⟩
@[simp] theorem not_irrational_one : ¬Irrational 1 := not_not_intro ⟨1, Rat.cast_one⟩
theorem irrational_sqrt_ratCast_iff_of_nonneg {q : ℚ} (hq : 0 ≤ q) :
Irrational (√q) ↔ ¬IsSquare q := by
refine Iff.not (?_ : Exists _ ↔ Exists _)
constructor
· rintro ⟨y, hy⟩
refine ⟨y, Rat.cast_injective (α := ℝ) ?_⟩
rw [Rat.cast_mul, hy, mul_self_sqrt (Rat.cast_nonneg.2 hq)]
· rintro ⟨q', rfl⟩
exact ⟨|q'|, mod_cast (sqrt_mul_self_eq_abs q').symm⟩
theorem irrational_sqrt_ratCast_iff {q : ℚ} :
Irrational (√q) ↔ ¬IsSquare q ∧ 0 ≤ q := by
obtain hq | hq := le_or_lt 0 q
· simp_rw [irrational_sqrt_ratCast_iff_of_nonneg hq, and_iff_left hq]
· rw [sqrt_eq_zero_of_nonpos (Rat.cast_nonpos.2 hq.le)]
simp_rw [not_irrational_zero, false_iff, not_and, not_le, hq, implies_true]
theorem irrational_sqrt_intCast_iff_of_nonneg {z : ℤ} (hz : 0 ≤ z) :
Irrational (√z) ↔ ¬IsSquare z := by
rw [← Rat.isSquare_intCast_iff, ← irrational_sqrt_ratCast_iff_of_nonneg (mod_cast hz),
Rat.cast_intCast]
theorem irrational_sqrt_intCast_iff {z : ℤ} :
Irrational (√z) ↔ ¬IsSquare z ∧ 0 ≤ z := by
rw [← Rat.cast_intCast, irrational_sqrt_ratCast_iff, Rat.isSquare_intCast_iff, Int.cast_nonneg]
theorem irrational_sqrt_natCast_iff {n : ℕ} : Irrational (√n) ↔ ¬IsSquare n := by
rw [← Rat.isSquare_natCast_iff, ← irrational_sqrt_ratCast_iff_of_nonneg n.cast_nonneg,
Rat.cast_natCast]
theorem irrational_sqrt_ofNat_iff {n : ℕ} [n.AtLeastTwo] :
Irrational √(ofNat(n)) ↔ ¬IsSquare ofNat(n) :=
irrational_sqrt_natCast_iff
theorem Nat.Prime.irrational_sqrt {p : ℕ} (hp : Nat.Prime p) : Irrational (√p) :=
irrational_sqrt_natCast_iff.mpr hp.not_isSquare
/-- **Irrationality of the Square Root of 2** -/
theorem irrational_sqrt_two : Irrational (√2) := by
simpa using Nat.prime_two.irrational_sqrt
/--
This can be used as
```lean
unseal Nat.sqrt.iter in
example : Irrational √24 := by decide
```
-/
instance {n : ℕ} [n.AtLeastTwo] : Decidable (Irrational √(ofNat(n))) :=
decidable_of_iff' _ irrational_sqrt_ofNat_iff
instance (n : ℕ) : Decidable (Irrational (√n)) :=
decidable_of_iff' _ irrational_sqrt_natCast_iff
instance (z : ℤ) : Decidable (Irrational (√z)) :=
decidable_of_iff' _ irrational_sqrt_intCast_iff
instance (q : ℚ) : Decidable (Irrational (√q)) :=
decidable_of_iff' _ irrational_sqrt_ratCast_iff
/-!
### Dot-style operations on `Irrational`
#### Coercion of a rational/integer/natural number is not irrational
-/
namespace Irrational
variable {x : ℝ}
/-!
#### Irrational number is not equal to a rational/integer/natural number
-/
theorem ne_rat (h : Irrational x) (q : ℚ) : x ≠ q := fun hq => h ⟨q, hq.symm⟩
theorem ne_int (h : Irrational x) (m : ℤ) : x ≠ m := by
rw [← Rat.cast_intCast]
exact h.ne_rat _
theorem ne_nat (h : Irrational x) (m : ℕ) : x ≠ m :=
h.ne_int m
theorem ne_zero (h : Irrational x) : x ≠ 0 := mod_cast h.ne_nat 0
theorem ne_one (h : Irrational x) : x ≠ 1 := by simpa only [Nat.cast_one] using h.ne_nat 1
@[simp] theorem ne_ofNat (h : Irrational x) (n : ℕ) [n.AtLeastTwo] : x ≠ ofNat(n) :=
h.ne_nat n
end Irrational
@[simp]
theorem Rat.not_irrational (q : ℚ) : ¬Irrational q := fun h => h ⟨q, rfl⟩
@[simp]
theorem Int.not_irrational (m : ℤ) : ¬Irrational m := fun h => h.ne_int m rfl
@[simp]
theorem Nat.not_irrational (m : ℕ) : ¬Irrational m := fun h => h.ne_nat m rfl
@[simp] theorem not_irrational_ofNat (n : ℕ) [n.AtLeastTwo] : ¬Irrational ofNat(n) :=
n.not_irrational
namespace Irrational
variable (q : ℚ) {x y : ℝ}
/-!
#### Addition of rational/integer/natural numbers
-/
/-- If `x + y` is irrational, then at least one of `x` and `y` is irrational. -/
theorem add_cases : Irrational (x + y) → Irrational x ∨ Irrational y := by
delta Irrational
contrapose!
rintro ⟨⟨rx, rfl⟩, ⟨ry, rfl⟩⟩
exact ⟨rx + ry, cast_add rx ry⟩
theorem of_ratCast_add (h : Irrational (q + x)) : Irrational x :=
h.add_cases.resolve_left q.not_irrational
@[deprecated (since := "2025-04-01")] alias of_rat_add := of_ratCast_add
theorem ratCast_add (h : Irrational x) : Irrational (q + x) :=
of_ratCast_add (-q) <| by rwa [cast_neg, neg_add_cancel_left]
@[deprecated (since := "2025-04-01")] alias rat_add := ratCast_add
theorem of_add_ratCast : Irrational (x + q) → Irrational x :=
add_comm (↑q) x ▸ of_ratCast_add q
@[deprecated (since := "2025-04-01")] alias of_add_rat := of_add_ratCast
theorem add_ratCast (h : Irrational x) : Irrational (x + q) :=
add_comm (↑q) x ▸ h.ratCast_add q
@[deprecated (since := "2025-04-01")] alias add_rat := add_ratCast
theorem of_intCast_add (m : ℤ) (h : Irrational (m + x)) : Irrational x := by
rw [← cast_intCast] at h
exact h.of_ratCast_add m
@[deprecated (since := "2025-04-01")] alias of_int_add := of_intCast_add
theorem of_add_intCast (m : ℤ) (h : Irrational (x + m)) : Irrational x :=
of_intCast_add m <| add_comm x m ▸ h
@[deprecated (since := "2025-04-01")] alias of_add_int := of_add_intCast
theorem intCast_add (h : Irrational x) (m : ℤ) : Irrational (m + x) := by
rw [← cast_intCast]
exact h.ratCast_add m
@[deprecated (since := "2025-04-01")] alias int_add := intCast_add
theorem add_intCast (h : Irrational x) (m : ℤ) : Irrational (x + m) :=
add_comm (↑m) x ▸ h.intCast_add m
@[deprecated (since := "2025-04-01")] alias add_int := add_intCast
theorem of_natCast_add (m : ℕ) (h : Irrational (m + x)) : Irrational x :=
h.of_intCast_add m
@[deprecated (since := "2025-04-01")] alias of_nat_add := of_natCast_add
theorem of_add_natCast (m : ℕ) (h : Irrational (x + m)) : Irrational x :=
h.of_add_intCast m
@[deprecated (since := "2025-04-01")] alias of_add_nat := of_add_natCast
theorem natCast_add (h : Irrational x) (m : ℕ) : Irrational (m + x) :=
h.intCast_add m
@[deprecated (since := "2025-04-01")] alias nat_add := natCast_add
theorem add_natCast (h : Irrational x) (m : ℕ) : Irrational (x + m) :=
h.add_intCast m
@[deprecated (since := "2025-04-01")] alias add_nat := add_natCast
/-!
#### Negation
-/
theorem of_neg (h : Irrational (-x)) : Irrational x := fun ⟨q, hx⟩ => h ⟨-q, by rw [cast_neg, hx]⟩
protected theorem neg (h : Irrational x) : Irrational (-x) :=
of_neg <| by rwa [neg_neg]
/-!
#### Subtraction of rational/integer/natural numbers
-/
theorem sub_ratCast (h : Irrational x) : Irrational (x - q) := by
simpa only [sub_eq_add_neg, cast_neg] using h.add_ratCast (-q)
@[deprecated (since := "2025-04-01")] alias sub_rat := sub_ratCast
theorem ratCast_sub (h : Irrational x) : Irrational (q - x) := by
simpa only [sub_eq_add_neg] using h.neg.ratCast_add q
@[deprecated (since := "2025-04-01")] alias rat_sub := ratCast_sub
theorem of_sub_ratCast (h : Irrational (x - q)) : Irrational x :=
of_add_ratCast (-q) <| by simpa only [cast_neg, sub_eq_add_neg] using h
@[deprecated (since := "2025-04-01")] alias of_sub_rat := of_sub_ratCast
theorem of_ratCast_sub (h : Irrational (q - x)) : Irrational x :=
of_neg (of_ratCast_add q (by simpa only [sub_eq_add_neg] using h))
@[deprecated (since := "2025-04-01")] alias of_rat_sub := of_ratCast_sub
theorem sub_intCast (h : Irrational x) (m : ℤ) : Irrational (x - m) := by
simpa only [Rat.cast_intCast] using h.sub_ratCast m
@[deprecated (since := "2025-04-01")] alias sub_int := sub_intCast
theorem intCast_sub (h : Irrational x) (m : ℤ) : Irrational (m - x) := by
simpa only [Rat.cast_intCast] using h.ratCast_sub m
@[deprecated (since := "2025-04-01")] alias int_sub := intCast_sub
theorem of_sub_intCast (m : ℤ) (h : Irrational (x - m)) : Irrational x :=
of_sub_ratCast m <| by rwa [Rat.cast_intCast]
@[deprecated (since := "2025-04-01")] alias of_sub_int := of_sub_intCast
theorem of_intCast_sub (m : ℤ) (h : Irrational (m - x)) : Irrational x :=
of_ratCast_sub m <| by rwa [Rat.cast_intCast]
@[deprecated (since := "2025-04-01")] alias of_int_sub := of_intCast_sub
theorem sub_natCast (h : Irrational x) (m : ℕ) : Irrational (x - m) :=
h.sub_intCast m
@[deprecated (since := "2025-04-01")] alias sub_nat := sub_natCast
theorem natCast_sub (h : Irrational x) (m : ℕ) : Irrational (m - x) :=
h.intCast_sub m
@[deprecated (since := "2025-04-01")] alias nat_sub := natCast_sub
theorem of_sub_natCast (m : ℕ) (h : Irrational (x - m)) : Irrational x :=
h.of_sub_intCast m
@[deprecated (since := "2025-04-01")] alias of_sub_nat := of_sub_natCast
theorem of_natCast_sub (m : ℕ) (h : Irrational (m - x)) : Irrational x :=
h.of_intCast_sub m
@[deprecated (since := "2025-04-01")] alias of_nat_sub := of_natCast_sub
/-!
#### Multiplication by rational numbers
-/
theorem mul_cases : Irrational (x * y) → Irrational x ∨ Irrational y := by
delta Irrational
contrapose!
rintro ⟨⟨rx, rfl⟩, ⟨ry, rfl⟩⟩
exact ⟨rx * ry, cast_mul rx ry⟩
theorem of_mul_ratCast (h : Irrational (x * q)) : Irrational x :=
h.mul_cases.resolve_right q.not_irrational
@[deprecated (since := "2025-04-01")] alias of_mul_rat := of_mul_ratCast
theorem mul_ratCast (h : Irrational x) {q : ℚ} (hq : q ≠ 0) : Irrational (x * q) :=
of_mul_ratCast q⁻¹ <| by rwa [mul_assoc, ← cast_mul, mul_inv_cancel₀ hq, cast_one, mul_one]
@[deprecated (since := "2025-04-01")] alias mul_rat := mul_ratCast
theorem of_ratCast_mul : Irrational (q * x) → Irrational x :=
mul_comm x q ▸ of_mul_ratCast q
@[deprecated (since := "2025-04-01")] alias of_rat_mul := of_ratCast_mul
theorem ratCast_mul (h : Irrational x) {q : ℚ} (hq : q ≠ 0) : Irrational (q * x) :=
mul_comm x q ▸ h.mul_ratCast hq
@[deprecated (since := "2025-04-01")] alias rat_mul := ratCast_mul
theorem of_mul_intCast (m : ℤ) (h : Irrational (x * m)) : Irrational x :=
of_mul_ratCast m <| by rwa [cast_intCast]
@[deprecated (since := "2025-04-01")] alias of_mul_int := of_mul_intCast
theorem of_intCast_mul (m : ℤ) (h : Irrational (m * x)) : Irrational x :=
of_ratCast_mul m <| by rwa [cast_intCast]
@[deprecated (since := "2025-04-01")] alias of_int_mul := of_intCast_mul
theorem mul_intCast (h : Irrational x) {m : ℤ} (hm : m ≠ 0) : Irrational (x * m) := by
rw [← cast_intCast]
refine h.mul_ratCast ?_
rwa [Int.cast_ne_zero]
@[deprecated (since := "2025-04-01")] alias mul_int := mul_intCast
theorem intCast_mul (h : Irrational x) {m : ℤ} (hm : m ≠ 0) : Irrational (m * x) :=
mul_comm x m ▸ h.mul_intCast hm
@[deprecated (since := "2025-04-01")] alias int_mul := intCast_mul
theorem of_mul_natCast (m : ℕ) (h : Irrational (x * m)) : Irrational x :=
h.of_mul_intCast m
@[deprecated (since := "2025-04-01")] alias of_mul_nat := of_mul_natCast
theorem of_natCast_mul (m : ℕ) (h : Irrational (m * x)) : Irrational x :=
h.of_intCast_mul m
@[deprecated (since := "2025-04-01")] alias of_nat_mul := of_natCast_mul
theorem mul_natCast (h : Irrational x) {m : ℕ} (hm : m ≠ 0) : Irrational (x * m) :=
h.mul_intCast <| Int.natCast_ne_zero.2 hm
@[deprecated (since := "2025-04-01")] alias mul_nat := mul_natCast
theorem natCast_mul (h : Irrational x) {m : ℕ} (hm : m ≠ 0) : Irrational (m * x) :=
h.intCast_mul <| Int.natCast_ne_zero.2 hm
@[deprecated (since := "2025-04-01")] alias nat_mul := natCast_mul
/-!
#### Inverse
-/
theorem of_inv (h : Irrational x⁻¹) : Irrational x := fun ⟨q, hq⟩ => h <| hq ▸ ⟨q⁻¹, q.cast_inv⟩
protected theorem inv (h : Irrational x) : Irrational x⁻¹ :=
of_inv <| by rwa [inv_inv]
/-!
#### Division
-/
theorem div_cases (h : Irrational (x / y)) : Irrational x ∨ Irrational y :=
h.mul_cases.imp id of_inv
theorem of_ratCast_div (h : Irrational (q / x)) : Irrational x :=
(h.of_ratCast_mul q).of_inv
@[deprecated (since := "2025-04-01")] alias of_rat_div := of_ratCast_div
theorem of_div_ratCast (h : Irrational (x / q)) : Irrational x :=
h.div_cases.resolve_right q.not_irrational
@[deprecated (since := "2025-04-01")] alias of_div_rat := of_div_ratCast
theorem ratCast_div (h : Irrational x) {q : ℚ} (hq : q ≠ 0) : Irrational (q / x) :=
h.inv.ratCast_mul hq
@[deprecated (since := "2025-04-01")] alias rat_div := ratCast_div
theorem div_ratCast (h : Irrational x) {q : ℚ} (hq : q ≠ 0) : Irrational (x / q) := by
rw [div_eq_mul_inv, ← cast_inv]
exact h.mul_ratCast (inv_ne_zero hq)
@[deprecated (since := "2025-04-01")] alias div_rat := div_ratCast
theorem of_intCast_div (m : ℤ) (h : Irrational (m / x)) : Irrational x :=
h.div_cases.resolve_left m.not_irrational
@[deprecated (since := "2025-04-01")] alias of_int_div := of_intCast_div
theorem of_div_intCast (m : ℤ) (h : Irrational (x / m)) : Irrational x :=
h.div_cases.resolve_right m.not_irrational
@[deprecated (since := "2025-04-01")] alias of_div_int := of_div_intCast
theorem intCast_div (h : Irrational x) {m : ℤ} (hm : m ≠ 0) : Irrational (m / x) :=
h.inv.intCast_mul hm
@[deprecated (since := "2025-04-01")] alias int_div := intCast_div
theorem div_intCast (h : Irrational x) {m : ℤ} (hm : m ≠ 0) : Irrational (x / m) := by
rw [← cast_intCast]
refine h.div_ratCast ?_
rwa [Int.cast_ne_zero]
@[deprecated (since := "2025-04-01")] alias div_int := div_intCast
theorem of_natCast_div (m : ℕ) (h : Irrational (m / x)) : Irrational x :=
h.of_intCast_div m
@[deprecated (since := "2025-04-01")] alias of_nat_div := of_natCast_div
theorem of_div_natCast (m : ℕ) (h : Irrational (x / m)) : Irrational x :=
h.of_div_intCast m
@[deprecated (since := "2025-04-01")] alias of_div_nat := of_div_natCast
theorem natCast_div (h : Irrational x) {m : ℕ} (hm : m ≠ 0) : Irrational (m / x) :=
h.inv.natCast_mul hm
@[deprecated (since := "2025-04-01")] alias nat_div := natCast_div
theorem div_natCast (h : Irrational x) {m : ℕ} (hm : m ≠ 0) : Irrational (x / m) :=
h.div_intCast <| by rwa [Int.natCast_ne_zero]
@[deprecated (since := "2025-04-01")] alias div_nat := div_natCast
theorem of_one_div (h : Irrational (1 / x)) : Irrational x :=
of_ratCast_div 1 <| by rwa [cast_one]
/-!
#### Natural and integer power
-/
theorem of_mul_self (h : Irrational (x * x)) : Irrational x :=
h.mul_cases.elim id id
theorem of_pow : ∀ n : ℕ, Irrational (x ^ n) → Irrational x
| 0 => fun h => by
rw [pow_zero] at h
exact (h ⟨1, cast_one⟩).elim
| n + 1 => fun h => by
rw [pow_succ] at h
exact h.mul_cases.elim (of_pow n) id
open Int in
theorem of_zpow : ∀ m : ℤ, Irrational (x ^ m) → Irrational x
| (n : ℕ) => fun h => by
rw [zpow_natCast] at h
exact h.of_pow _
| -[n+1] => fun h => by
rw [zpow_negSucc] at h
exact h.of_inv.of_pow _
end Irrational
section Polynomial
open Polynomial
variable (x : ℝ) (p : ℤ[X])
theorem one_lt_natDegree_of_irrational_root (hx : Irrational x) (p_nonzero : p ≠ 0)
(x_is_root : aeval x p = 0) : 1 < p.natDegree := by
by_contra rid
rcases exists_eq_X_add_C_of_natDegree_le_one (not_lt.1 rid) with ⟨a, b, rfl⟩
clear rid
have : (a : ℝ) * x = -b := by simpa [eq_neg_iff_add_eq_zero] using x_is_root
rcases em (a = 0) with (rfl | ha)
· obtain rfl : b = 0 := by simpa
simp at p_nonzero
· rw [mul_comm, ← eq_div_iff_mul_eq, eq_comm] at this
· refine hx ⟨-b / a, ?_⟩
assumption_mod_cast
· assumption_mod_cast
end Polynomial
section
variable {q : ℚ} {m : ℤ} {n : ℕ} {x : ℝ}
open Irrational
/-!
### Simplification lemmas about operations
-/
@[simp]
theorem irrational_ratCast_add_iff : Irrational (q + x) ↔ Irrational x :=
⟨of_ratCast_add q, ratCast_add q⟩
@[deprecated (since := "2025-04-01")] alias irrational_rat_add_iff := irrational_ratCast_add_iff
@[simp]
theorem irrational_intCast_add_iff : Irrational (m + x) ↔ Irrational x :=
⟨of_intCast_add m, fun h => h.intCast_add m⟩
@[deprecated (since := "2025-04-01")] alias irrational_int_add_iff := irrational_intCast_add_iff
@[simp]
theorem irrational_natCast_add_iff : Irrational (n + x) ↔ Irrational x :=
⟨of_natCast_add n, fun h => h.natCast_add n⟩
@[deprecated (since := "2025-04-01")] alias irrational_nat_add_iff := irrational_natCast_add_iff
@[simp]
theorem irrational_add_ratCast_iff : Irrational (x + q) ↔ Irrational x :=
⟨of_add_ratCast q, add_ratCast q⟩
@[deprecated (since := "2025-04-01")] alias irrational_add_rat_iff := irrational_add_ratCast_iff
@[simp]
theorem irrational_add_intCast_iff : Irrational (x + m) ↔ Irrational x :=
⟨of_add_intCast m, fun h => h.add_intCast m⟩
@[deprecated (since := "2025-04-01")] alias irrational_add_int_iff := irrational_add_intCast_iff
@[simp]
theorem irrational_add_natCast_iff : Irrational (x + n) ↔ Irrational x :=
⟨of_add_natCast n, fun h => h.add_natCast n⟩
@[deprecated (since := "2025-04-01")] alias irrational_add_nat_iff := irrational_add_natCast_iff
@[simp]
theorem irrational_ratCast_sub_iff : Irrational (q - x) ↔ Irrational x :=
⟨of_ratCast_sub q, ratCast_sub q⟩
@[deprecated (since := "2025-04-01")] alias irrational_rat_sub_iff := irrational_ratCast_sub_iff
@[simp]
theorem irrational_intCast_sub_iff : Irrational (m - x) ↔ Irrational x :=
⟨of_intCast_sub m, fun h => h.intCast_sub m⟩
@[deprecated (since := "2025-04-01")] alias irrational_int_sub_iff := irrational_intCast_sub_iff
@[simp]
theorem irrational_natCast_sub_iff : Irrational (n - x) ↔ Irrational x :=
⟨of_natCast_sub n, fun h => h.natCast_sub n⟩
@[deprecated (since := "2025-04-01")] alias irrational_nat_sub_iff := irrational_natCast_sub_iff
@[simp]
theorem irrational_sub_ratCast_iff : Irrational (x - q) ↔ Irrational x :=
⟨of_sub_ratCast q, sub_ratCast q⟩
@[deprecated (since := "2025-04-01")] alias irrational_sub_rat_iff := irrational_sub_ratCast_iff
@[simp]
theorem irrational_sub_intCast_iff : Irrational (x - m) ↔ Irrational x :=
⟨of_sub_intCast m, fun h => h.sub_intCast m⟩
@[deprecated (since := "2025-04-01")] alias irrational_sub_int_iff := irrational_sub_intCast_iff
@[simp]
theorem irrational_sub_natCast_iff : Irrational (x - n) ↔ Irrational x :=
⟨of_sub_natCast n, fun h => h.sub_natCast n⟩
@[deprecated (since := "2025-04-01")] alias irrational_sub_nat_iff := irrational_sub_natCast_iff
@[simp]
theorem irrational_neg_iff : Irrational (-x) ↔ Irrational x :=
⟨of_neg, Irrational.neg⟩
@[simp]
theorem irrational_inv_iff : Irrational x⁻¹ ↔ Irrational x :=
⟨of_inv, Irrational.inv⟩
@[simp]
theorem irrational_ratCast_mul_iff : Irrational (q * x) ↔ q ≠ 0 ∧ Irrational x :=
⟨fun h => ⟨Rat.cast_ne_zero.1 <| left_ne_zero_of_mul h.ne_zero, h.of_ratCast_mul q⟩, fun h =>
h.2.ratCast_mul h.1⟩
@[deprecated (since := "2025-04-01")] alias irrational_rat_mul_iff := irrational_ratCast_mul_iff
@[simp]
theorem irrational_mul_ratCast_iff : Irrational (x * q) ↔ q ≠ 0 ∧ Irrational x := by
rw [mul_comm, irrational_ratCast_mul_iff]
@[deprecated (since := "2025-04-01")] alias irrational_mul_rat_iff := irrational_mul_ratCast_iff
@[simp]
theorem irrational_intCast_mul_iff : Irrational (m * x) ↔ m ≠ 0 ∧ Irrational x := by
rw [← cast_intCast, irrational_ratCast_mul_iff, Int.cast_ne_zero]
@[deprecated (since := "2025-04-01")] alias irrational_int_mul_iff := irrational_intCast_mul_iff
@[simp]
theorem irrational_mul_intCast_iff : Irrational (x * m) ↔ m ≠ 0 ∧ Irrational x := by
rw [← cast_intCast, irrational_mul_ratCast_iff, Int.cast_ne_zero]
@[deprecated (since := "2025-04-01")] alias irrational_mul_int_iff := irrational_mul_intCast_iff
@[simp]
theorem irrational_natCast_mul_iff : Irrational (n * x) ↔ n ≠ 0 ∧ Irrational x := by
rw [← cast_natCast, irrational_ratCast_mul_iff, Nat.cast_ne_zero]
@[deprecated (since := "2025-04-01")] alias irrational_nat_mul_iff := irrational_natCast_mul_iff
@[simp]
theorem irrational_mul_natCast_iff : Irrational (x * n) ↔ n ≠ 0 ∧ Irrational x := by
rw [← cast_natCast, irrational_mul_ratCast_iff, Nat.cast_ne_zero]
@[deprecated (since := "2025-04-01")] alias irrational_mul_nat_iff := irrational_mul_natCast_iff
@[simp]
theorem irrational_ratCast_div_iff : Irrational (q / x) ↔ q ≠ 0 ∧ Irrational x := by
simp [div_eq_mul_inv]
@[deprecated (since := "2025-04-01")] alias irrational_rat_div_iff := irrational_ratCast_div_iff
@[simp]
theorem irrational_div_ratCast_iff : Irrational (x / q) ↔ q ≠ 0 ∧ Irrational x := by
rw [div_eq_mul_inv, ← cast_inv, irrational_mul_ratCast_iff, Ne, inv_eq_zero]
@[deprecated (since := "2025-04-01")] alias irrational_div_rat_iff := irrational_div_ratCast_iff
@[simp]
theorem irrational_intCast_div_iff : Irrational (m / x) ↔ m ≠ 0 ∧ Irrational x := by
simp [div_eq_mul_inv]
@[deprecated (since := "2025-04-01")] alias irrational_int_div_iff := irrational_intCast_div_iff
@[simp]
theorem irrational_div_intCast_iff : Irrational (x / m) ↔ m ≠ 0 ∧ Irrational x := by
rw [← cast_intCast, irrational_div_ratCast_iff, Int.cast_ne_zero]
@[deprecated (since := "2025-04-01")] alias irrational_div_int_iff := irrational_div_intCast_iff
| @[simp]
theorem irrational_natCast_div_iff : Irrational (n / x) ↔ n ≠ 0 ∧ Irrational x := by
| Mathlib/Data/Real/Irrational.lean | 642 | 643 |
/-
Copyright (c) 2018 Kenny Lau. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kenny Lau, Chris Hughes, Mario Carneiro
-/
import Mathlib.Algebra.Field.IsField
import Mathlib.Data.Fin.VecNotation
import Mathlib.Data.Nat.Choose.Sum
import Mathlib.LinearAlgebra.Finsupp.LinearCombination
import Mathlib.RingTheory.Ideal.Maximal
import Mathlib.Tactic.FinCases
/-!
# Ideals over a ring
This file contains an assortment of definitions and results for `Ideal R`,
the type of (left) ideals over a ring `R`.
Note that over commutative rings, left ideals and two-sided ideals are equivalent.
## Implementation notes
`Ideal R` is implemented using `Submodule R R`, where `•` is interpreted as `*`.
## TODO
Support right ideals, and two-sided ideals over non-commutative rings.
-/
variable {ι α β F : Type*}
open Set Function
open Pointwise
section Semiring
namespace Ideal
variable {α : ι → Type*} [Π i, Semiring (α i)] (I : Π i, Ideal (α i))
section Pi
/-- `Πᵢ Iᵢ` as an ideal of `Πᵢ Rᵢ`. -/
def pi : Ideal (Π i, α i) where
carrier := { x | ∀ i, x i ∈ I i }
zero_mem' i := (I i).zero_mem
add_mem' ha hb i := (I i).add_mem (ha i) (hb i)
smul_mem' a _b hb i := (I i).mul_mem_left (a i) (hb i)
theorem mem_pi (x : Π i, α i) : x ∈ pi I ↔ ∀ i, x i ∈ I i :=
Iff.rfl
instance (priority := low) [∀ i, (I i).IsTwoSided] : (pi I).IsTwoSided :=
⟨fun _b hb i ↦ mul_mem_right _ _ (hb i)⟩
end Pi
section Commute
variable {α : Type*} [Semiring α] (I : Ideal α) {a b : α}
theorem add_pow_mem_of_pow_mem_of_le_of_commute {m n k : ℕ}
(ha : a ^ m ∈ I) (hb : b ^ n ∈ I) (hk : m + n ≤ k + 1)
(hab : Commute a b) :
(a + b) ^ k ∈ I := by
simp_rw [hab.add_pow, ← Nat.cast_comm]
apply I.sum_mem
intro c _
apply mul_mem_left
by_cases h : m ≤ c
· rw [hab.pow_pow]
exact I.mul_mem_left _ (I.pow_mem_of_pow_mem ha h)
· refine I.mul_mem_left _ (I.pow_mem_of_pow_mem hb ?_)
omega
theorem add_pow_add_pred_mem_of_pow_mem_of_commute {m n : ℕ}
(ha : a ^ m ∈ I) (hb : b ^ n ∈ I) (hab : Commute a b) :
(a + b) ^ (m + n - 1) ∈ I :=
I.add_pow_mem_of_pow_mem_of_le_of_commute ha hb (by rw [← Nat.sub_le_iff_le_add]) hab
end Commute
end Ideal
end Semiring
section CommSemiring
variable {a b : α}
-- A separate namespace definition is needed because the variables were historically in a different
-- order.
namespace Ideal
variable [CommSemiring α] (I : Ideal α)
theorem add_pow_mem_of_pow_mem_of_le {m n k : ℕ}
(ha : a ^ m ∈ I) (hb : b ^ n ∈ I) (hk : m + n ≤ k + 1) :
(a + b) ^ k ∈ I :=
I.add_pow_mem_of_pow_mem_of_le_of_commute ha hb hk (Commute.all ..)
theorem add_pow_add_pred_mem_of_pow_mem {m n : ℕ}
(ha : a ^ m ∈ I) (hb : b ^ n ∈ I) :
(a + b) ^ (m + n - 1) ∈ I :=
I.add_pow_add_pred_mem_of_pow_mem_of_commute ha hb (Commute.all ..)
theorem pow_multiset_sum_mem_span_pow [DecidableEq α] (s : Multiset α) (n : ℕ) :
s.sum ^ (Multiset.card s * n + 1) ∈
span ((s.map fun (x : α) ↦ x ^ (n + 1)).toFinset : Set α) := by
induction' s using Multiset.induction_on with a s hs
· simp
simp only [Finset.coe_insert, Multiset.map_cons, Multiset.toFinset_cons, Multiset.sum_cons,
Multiset.card_cons, add_pow]
refine Submodule.sum_mem _ ?_
intro c _hc
rw [mem_span_insert]
by_cases h : n + 1 ≤ c
· refine ⟨a ^ (c - (n + 1)) * s.sum ^ ((Multiset.card s + 1) * n + 1 - c) *
((Multiset.card s + 1) * n + 1).choose c, 0, Submodule.zero_mem _, ?_⟩
rw [mul_comm _ (a ^ (n + 1))]
simp_rw [← mul_assoc]
rw [← pow_add, add_zero, add_tsub_cancel_of_le h]
· use 0
simp_rw [zero_mul, zero_add]
refine ⟨_, ?_, rfl⟩
replace h : c ≤ n := Nat.lt_succ_iff.mp (not_le.mp h)
have : (Multiset.card s + 1) * n + 1 - c = Multiset.card s * n + 1 + (n - c) := by
rw [add_mul, one_mul, add_assoc, add_comm n 1, ← add_assoc, add_tsub_assoc_of_le h]
rw [this, pow_add]
simp_rw [mul_assoc, mul_comm (s.sum ^ (Multiset.card s * n + 1)), ← mul_assoc]
exact mul_mem_left _ _ hs
theorem sum_pow_mem_span_pow {ι} (s : Finset ι) (f : ι → α) (n : ℕ) :
(∑ i ∈ s, f i) ^ (s.card * n + 1) ∈ span ((fun i => f i ^ (n + 1)) '' s) := by
classical
simpa only [Multiset.card_map, Multiset.map_map, comp_apply, Multiset.toFinset_map,
Finset.coe_image, Finset.val_toFinset] using pow_multiset_sum_mem_span_pow (s.1.map f) n
theorem span_pow_eq_top (s : Set α) (hs : span s = ⊤) (n : ℕ) :
span ((fun (x : α) => x ^ n) '' s) = ⊤ := by
rw [eq_top_iff_one]
rcases n with - | n
· obtain rfl | ⟨x, hx⟩ := eq_empty_or_nonempty s
· rw [Set.image_empty, hs]
trivial
· exact subset_span ⟨_, hx, pow_zero _⟩
rw [eq_top_iff_one, span, Finsupp.mem_span_iff_linearCombination] at hs
rcases hs with ⟨f, hf⟩
have hf : (f.support.sum fun a => f a * a) = 1 := hf -- Porting note: was `change ... at hf`
have := sum_pow_mem_span_pow f.support (fun a => f a * a) n
rw [hf, one_pow] at this
refine span_le.mpr ?_ this
rintro _ hx
simp_rw [Set.mem_image] at hx
rcases hx with ⟨x, _, rfl⟩
have : span ({(x : α) ^ (n + 1)} : Set α) ≤ span ((fun x : α => x ^ (n + 1)) '' s) := by
rw [span_le, Set.singleton_subset_iff]
exact subset_span ⟨x, x.prop, rfl⟩
refine this ?_
rw [mul_pow, mem_span_singleton]
exact ⟨f x ^ (n + 1), mul_comm _ _⟩
theorem span_range_pow_eq_top (s : Set α) (hs : span s = ⊤) (n : s → ℕ) :
span (Set.range fun x ↦ x.1 ^ n x) = ⊤ := by
have ⟨t, hts, mem⟩ := Submodule.mem_span_finite_of_mem_span ((eq_top_iff_one _).mp hs)
refine top_unique ((span_pow_eq_top _ ((eq_top_iff_one _).mpr mem) <|
t.attach.sup fun x ↦ n ⟨x, hts x.2⟩).ge.trans <| span_le.mpr ?_)
rintro _ ⟨x, hxt, rfl⟩
rw [← Nat.sub_add_cancel (Finset.le_sup <| t.mem_attach ⟨x, hxt⟩)]
simp_rw [pow_add]
exact mul_mem_left _ _ (subset_span ⟨_, rfl⟩)
theorem prod_mem {ι : Type*} {f : ι → α} {s : Finset ι}
(I : Ideal α) {i : ι} (hi : i ∈ s) (hfi : f i ∈ I) :
∏ i ∈ s, f i ∈ I := by
classical
rw [Finset.prod_eq_prod_diff_singleton_mul hi]
exact Ideal.mul_mem_left _ _ hfi
end Ideal
end CommSemiring
section DivisionSemiring
variable {K : Type*} [DivisionSemiring K] (I : Ideal K)
namespace Ideal
variable (K) in
/-- A bijection between (left) ideals of a division ring and `{0, 1}`, sending `⊥` to `0`
and `⊤` to `1`. -/
def equivFinTwo [DecidableEq (Ideal K)] : Ideal K ≃ Fin 2 where
toFun := fun I ↦ if I = ⊥ then 0 else 1
invFun := ![⊥, ⊤]
left_inv := fun I ↦ by rcases eq_bot_or_top I with rfl | rfl <;> simp
right_inv := fun i ↦ by fin_cases i <;> simp
instance : Finite (Ideal K) := let _i := Classical.decEq (Ideal K); ⟨equivFinTwo K⟩
/-- Ideals of a `DivisionSemiring` are a simple order. Thanks to the way abbreviations work,
this automatically gives an `IsSimpleModule K` instance. -/
instance isSimpleOrder : IsSimpleOrder (Ideal K) :=
⟨eq_bot_or_top⟩
end Ideal
end DivisionSemiring
-- TODO: consider moving the lemmas below out of the `Ring` namespace since they are
-- about `CommSemiring`s.
namespace Ring
variable {R : Type*} [CommSemiring R]
theorem exists_not_isUnit_of_not_isField [Nontrivial R] (hf : ¬IsField R) :
∃ (x : R) (_hx : x ≠ (0 : R)), ¬IsUnit x := by
have : ¬_ := fun h => hf ⟨exists_pair_ne R, mul_comm, h⟩
simp_rw [isUnit_iff_exists_inv]
push_neg at this ⊢
obtain ⟨x, hx, not_unit⟩ := this
exact ⟨x, hx, not_unit⟩
theorem not_isField_iff_exists_ideal_bot_lt_and_lt_top [Nontrivial R] :
¬IsField R ↔ ∃ I : Ideal R, ⊥ < I ∧ I < ⊤ := by
constructor
· intro h
obtain ⟨x, nz, nu⟩ := exists_not_isUnit_of_not_isField h
use Ideal.span {x}
rw [bot_lt_iff_ne_bot, lt_top_iff_ne_top]
exact ⟨mt Ideal.span_singleton_eq_bot.mp nz, mt Ideal.span_singleton_eq_top.mp nu⟩
· rintro ⟨I, bot_lt, lt_top⟩ hf
obtain ⟨x, mem, ne_zero⟩ := SetLike.exists_of_lt bot_lt
rw [Submodule.mem_bot] at ne_zero
obtain ⟨y, hy⟩ := hf.mul_inv_cancel ne_zero
rw [lt_top_iff_ne_top, Ne, Ideal.eq_top_iff_one, ← hy] at lt_top
exact lt_top (I.mul_mem_right _ mem)
theorem not_isField_iff_exists_prime [Nontrivial R] :
¬IsField R ↔ ∃ p : Ideal R, p ≠ ⊥ ∧ p.IsPrime :=
not_isField_iff_exists_ideal_bot_lt_and_lt_top.trans
⟨fun ⟨I, bot_lt, lt_top⟩ =>
let ⟨p, hp, le_p⟩ := I.exists_le_maximal (lt_top_iff_ne_top.mp lt_top)
⟨p, bot_lt_iff_ne_bot.mp (lt_of_lt_of_le bot_lt le_p), hp.isPrime⟩,
fun ⟨p, ne_bot, Prime⟩ => ⟨p, bot_lt_iff_ne_bot.mpr ne_bot, lt_top_iff_ne_top.mpr Prime.1⟩⟩
/-- Also see `Ideal.isSimpleOrder` for the forward direction as an instance when `R` is a
division (semi)ring.
This result actually holds for all division semirings, but we lack the predicate to state it. -/
theorem isField_iff_isSimpleOrder_ideal : IsField R ↔ IsSimpleOrder (Ideal R) := by
cases subsingleton_or_nontrivial R
· exact
⟨fun h => (not_isField_of_subsingleton _ h).elim, fun h =>
(false_of_nontrivial_of_subsingleton <| Ideal R).elim⟩
rw [← not_iff_not, Ring.not_isField_iff_exists_ideal_bot_lt_and_lt_top, ← not_iff_not]
push_neg
simp_rw [lt_top_iff_ne_top, bot_lt_iff_ne_bot, ← or_iff_not_imp_left, not_ne_iff]
exact ⟨fun h => ⟨h⟩, fun h => h.2⟩
/-- When a ring is not a field, the maximal ideals are nontrivial. -/
theorem ne_bot_of_isMaximal_of_not_isField [Nontrivial R] {M : Ideal R} (max : M.IsMaximal)
(not_field : ¬IsField R) : M ≠ ⊥ := by
rintro h
rw [h] at max
rcases max with ⟨⟨_h1, h2⟩⟩
obtain ⟨I, hIbot, hItop⟩ := not_isField_iff_exists_ideal_bot_lt_and_lt_top.mp not_field
exact ne_of_lt hItop (h2 I hIbot)
end Ring
namespace Ideal
variable {R : Type*} [CommSemiring R] [Nontrivial R]
theorem bot_lt_of_maximal (M : Ideal R) [hm : M.IsMaximal] (non_field : ¬IsField R) : ⊥ < M := by
rcases Ring.not_isField_iff_exists_ideal_bot_lt_and_lt_top.1 non_field with ⟨I, Ibot, Itop⟩
constructor; · simp
intro mle
apply lt_irrefl (⊤ : Ideal R)
have : M = ⊥ := eq_bot_iff.mpr mle
rw [← this] at Ibot
rwa [hm.1.2 I Ibot] at Itop
end Ideal
| Mathlib/RingTheory/Ideal/Basic.lean | 783 | 785 | |
/-
Copyright (c) 2023 Yaël Dillies. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yaël Dillies
-/
import Mathlib.Algebra.Order.Module.OrderedSMul
import Mathlib.Algebra.Order.Module.Synonym
import Mathlib.Algebra.Order.Monoid.Unbundled.MinMax
import Mathlib.Order.Monotone.Monovary
/-!
# Monovarying functions and algebraic operations
This file characterises the interaction of ordered algebraic structures with monovariance
of functions.
## See also
`Algebra.Order.Rearrangement` for the n-ary rearrangement inequality
-/
variable {ι α β : Type*}
/-! ### Algebraic operations on monovarying functions -/
section OrderedCommGroup
section
variable [CommGroup α] [PartialOrder α] [IsOrderedMonoid α] [PartialOrder β]
{s : Set ι} {f f₁ f₂ : ι → α} {g : ι → β}
@[to_additive (attr := simp)]
lemma monovaryOn_inv_left : MonovaryOn f⁻¹ g s ↔ AntivaryOn f g s := by
simp [MonovaryOn, AntivaryOn]
@[to_additive (attr := simp)]
lemma antivaryOn_inv_left : AntivaryOn f⁻¹ g s ↔ MonovaryOn f g s := by
simp [MonovaryOn, AntivaryOn]
@[to_additive (attr := simp)] lemma monovary_inv_left : Monovary f⁻¹ g ↔ Antivary f g := by
simp [Monovary, Antivary]
@[to_additive (attr := simp)] lemma antivary_inv_left : Antivary f⁻¹ g ↔ Monovary f g := by
simp [Monovary, Antivary]
@[to_additive] lemma MonovaryOn.mul_left (h₁ : MonovaryOn f₁ g s) (h₂ : MonovaryOn f₂ g s) :
MonovaryOn (f₁ * f₂) g s := fun _i hi _j hj hij ↦ mul_le_mul' (h₁ hi hj hij) (h₂ hi hj hij)
@[to_additive] lemma AntivaryOn.mul_left (h₁ : AntivaryOn f₁ g s) (h₂ : AntivaryOn f₂ g s) :
AntivaryOn (f₁ * f₂) g s := fun _i hi _j hj hij ↦ mul_le_mul' (h₁ hi hj hij) (h₂ hi hj hij)
@[to_additive] lemma MonovaryOn.div_left (h₁ : MonovaryOn f₁ g s) (h₂ : AntivaryOn f₂ g s) :
MonovaryOn (f₁ / f₂) g s := fun _i hi _j hj hij ↦ div_le_div'' (h₁ hi hj hij) (h₂ hi hj hij)
@[to_additive] lemma AntivaryOn.div_left (h₁ : AntivaryOn f₁ g s) (h₂ : MonovaryOn f₂ g s) :
AntivaryOn (f₁ / f₂) g s := fun _i hi _j hj hij ↦ div_le_div'' (h₁ hi hj hij) (h₂ hi hj hij)
@[to_additive] lemma MonovaryOn.pow_left (hfg : MonovaryOn f g s) (n : ℕ) :
MonovaryOn (f ^ n) g s := fun _i hi _j hj hij ↦ pow_le_pow_left' (hfg hi hj hij) _
@[to_additive] lemma AntivaryOn.pow_left (hfg : AntivaryOn f g s) (n : ℕ) :
AntivaryOn (f ^ n) g s := fun _i hi _j hj hij ↦ pow_le_pow_left' (hfg hi hj hij) _
@[to_additive]
lemma Monovary.mul_left (h₁ : Monovary f₁ g) (h₂ : Monovary f₂ g) : Monovary (f₁ * f₂) g :=
fun _i _j hij ↦ mul_le_mul' (h₁ hij) (h₂ hij)
@[to_additive]
lemma Antivary.mul_left (h₁ : Antivary f₁ g) (h₂ : Antivary f₂ g) : Antivary (f₁ * f₂) g :=
fun _i _j hij ↦ mul_le_mul' (h₁ hij) (h₂ hij)
@[to_additive]
lemma Monovary.div_left (h₁ : Monovary f₁ g) (h₂ : Antivary f₂ g) : Monovary (f₁ / f₂) g :=
fun _i _j hij ↦ div_le_div'' (h₁ hij) (h₂ hij)
@[to_additive]
lemma Antivary.div_left (h₁ : Antivary f₁ g) (h₂ : Monovary f₂ g) : Antivary (f₁ / f₂) g :=
fun _i _j hij ↦ div_le_div'' (h₁ hij) (h₂ hij)
@[to_additive] lemma Monovary.pow_left (hfg : Monovary f g) (n : ℕ) : Monovary (f ^ n) g :=
fun _i _j hij ↦ pow_le_pow_left' (hfg hij) _
@[to_additive] lemma Antivary.pow_left (hfg : Antivary f g) (n : ℕ) : Antivary (f ^ n) g :=
fun _i _j hij ↦ pow_le_pow_left' (hfg hij) _
end
section
variable [PartialOrder α] [CommGroup β] [PartialOrder β] [IsOrderedMonoid β]
{s : Set ι} {f f₁ f₂ : ι → α} {g : ι → β}
@[to_additive (attr := simp)]
lemma monovaryOn_inv_right : MonovaryOn f g⁻¹ s ↔ AntivaryOn f g s := by
simpa [MonovaryOn, AntivaryOn] using forall₂_swap
@[to_additive (attr := simp)]
lemma antivaryOn_inv_right : AntivaryOn f g⁻¹ s ↔ MonovaryOn f g s := by
simpa [MonovaryOn, AntivaryOn] using forall₂_swap
@[to_additive (attr := simp)] lemma monovary_inv_right : Monovary f g⁻¹ ↔ Antivary f g := by
simpa [Monovary, Antivary] using forall_swap
@[to_additive (attr := simp)] lemma antivary_inv_right : Antivary f g⁻¹ ↔ Monovary f g := by
simpa [Monovary, Antivary] using forall_swap
end
section
variable [CommGroup α] [PartialOrder α] [IsOrderedMonoid α]
[CommGroup β] [PartialOrder β] [IsOrderedMonoid β]
{s : Set ι} {f f₁ f₂ : ι → α} {g : ι → β}
@[to_additive] lemma monovaryOn_inv : MonovaryOn f⁻¹ g⁻¹ s ↔ MonovaryOn f g s := by simp
@[to_additive] lemma antivaryOn_inv : AntivaryOn f⁻¹ g⁻¹ s ↔ AntivaryOn f g s := by simp
@[to_additive] lemma monovary_inv : Monovary f⁻¹ g⁻¹ ↔ Monovary f g := by simp
@[to_additive] lemma antivary_inv : Antivary f⁻¹ g⁻¹ ↔ Antivary f g := by simp
end
@[to_additive] alias ⟨MonovaryOn.of_inv_left, AntivaryOn.inv_left⟩ := monovaryOn_inv_left
@[to_additive] alias ⟨AntivaryOn.of_inv_left, MonovaryOn.inv_left⟩ := antivaryOn_inv_left
@[to_additive] alias ⟨MonovaryOn.of_inv_right, AntivaryOn.inv_right⟩ := monovaryOn_inv_right
@[to_additive] alias ⟨AntivaryOn.of_inv_right, MonovaryOn.inv_right⟩ := antivaryOn_inv_right
@[to_additive] alias ⟨MonovaryOn.of_inv, MonovaryOn.inv⟩ := monovaryOn_inv
@[to_additive] alias ⟨AntivaryOn.of_inv, AntivaryOn.inv⟩ := antivaryOn_inv
@[to_additive] alias ⟨Monovary.of_inv_left, Antivary.inv_left⟩ := monovary_inv_left
@[to_additive] alias ⟨Antivary.of_inv_left, Monovary.inv_left⟩ := antivary_inv_left
@[to_additive] alias ⟨Monovary.of_inv_right, Antivary.inv_right⟩ := monovary_inv_right
@[to_additive] alias ⟨Antivary.of_inv_right, Monovary.inv_right⟩ := antivary_inv_right
@[to_additive] alias ⟨Monovary.of_inv, Monovary.inv⟩ := monovary_inv
@[to_additive] alias ⟨Antivary.of_inv, Antivary.inv⟩ := antivary_inv
end OrderedCommGroup
section LinearOrderedCommGroup
variable [PartialOrder α] [CommGroup β] [LinearOrder β] [IsOrderedMonoid β] {s : Set ι} {f : ι → α}
{g g₁ g₂ : ι → β}
@[to_additive] lemma MonovaryOn.mul_right (h₁ : MonovaryOn f g₁ s) (h₂ : MonovaryOn f g₂ s) :
MonovaryOn f (g₁ * g₂) s :=
fun _i hi _j hj hij ↦ (lt_or_lt_of_mul_lt_mul hij).elim (h₁ hi hj) <| h₂ hi hj
@[to_additive] lemma AntivaryOn.mul_right (h₁ : AntivaryOn f g₁ s) (h₂ : AntivaryOn f g₂ s) :
AntivaryOn f (g₁ * g₂) s :=
fun _i hi _j hj hij ↦ (lt_or_lt_of_mul_lt_mul hij).elim (h₁ hi hj) <| h₂ hi hj
@[to_additive] lemma MonovaryOn.div_right (h₁ : MonovaryOn f g₁ s) (h₂ : AntivaryOn f g₂ s) :
MonovaryOn f (g₁ / g₂) s :=
fun _i hi _j hj hij ↦ (lt_or_lt_of_div_lt_div hij).elim (h₁ hi hj) <| h₂ hj hi
@[to_additive] lemma AntivaryOn.div_right (h₁ : AntivaryOn f g₁ s) (h₂ : MonovaryOn f g₂ s) :
AntivaryOn f (g₁ / g₂) s :=
fun _i hi _j hj hij ↦ (lt_or_lt_of_div_lt_div hij).elim (h₁ hi hj) <| h₂ hj hi
@[to_additive] lemma MonovaryOn.pow_right (hfg : MonovaryOn f g s) (n : ℕ) :
MonovaryOn f (g ^ n) s := fun _i hi _j hj hij ↦ hfg hi hj <| lt_of_pow_lt_pow_left' _ hij
@[to_additive] lemma AntivaryOn.pow_right (hfg : AntivaryOn f g s) (n : ℕ) :
AntivaryOn f (g ^ n) s := fun _i hi _j hj hij ↦ hfg hi hj <| lt_of_pow_lt_pow_left' _ hij
@[to_additive] lemma Monovary.mul_right (h₁ : Monovary f g₁) (h₂ : Monovary f g₂) :
Monovary f (g₁ * g₂) :=
fun _i _j hij ↦ (lt_or_lt_of_mul_lt_mul hij).elim (fun h ↦ h₁ h) fun h ↦ h₂ h
@[to_additive] lemma Antivary.mul_right (h₁ : Antivary f g₁) (h₂ : Antivary f g₂) :
Antivary f (g₁ * g₂) :=
fun _i _j hij ↦ (lt_or_lt_of_mul_lt_mul hij).elim (fun h ↦ h₁ h) fun h ↦ h₂ h
@[to_additive] lemma Monovary.div_right (h₁ : Monovary f g₁) (h₂ : Antivary f g₂) :
Monovary f (g₁ / g₂) :=
fun _i _j hij ↦ (lt_or_lt_of_div_lt_div hij).elim (fun h ↦ h₁ h) fun h ↦ h₂ h
@[to_additive] lemma Antivary.div_right (h₁ : Antivary f g₁) (h₂ : Monovary f g₂) :
Antivary f (g₁ / g₂) :=
fun _i _j hij ↦ (lt_or_lt_of_div_lt_div hij).elim (fun h ↦ h₁ h) fun h ↦ h₂ h
@[to_additive] lemma Monovary.pow_right (hfg : Monovary f g) (n : ℕ) : Monovary f (g ^ n) :=
fun _i _j hij ↦ hfg <| lt_of_pow_lt_pow_left' _ hij
@[to_additive] lemma Antivary.pow_right (hfg : Antivary f g) (n : ℕ) : Antivary f (g ^ n) :=
fun _i _j hij ↦ hfg <| lt_of_pow_lt_pow_left' _ hij
end LinearOrderedCommGroup
section OrderedSemiring
variable [Semiring α] [PartialOrder α] [IsOrderedRing α] [PartialOrder β]
{s : Set ι} {f f₁ f₂ : ι → α} {g : ι → β}
lemma MonovaryOn.mul_left₀ (hf₁ : ∀ i ∈ s, 0 ≤ f₁ i) (hf₂ : ∀ i ∈ s, 0 ≤ f₂ i)
(h₁ : MonovaryOn f₁ g s) (h₂ : MonovaryOn f₂ g s) : MonovaryOn (f₁ * f₂) g s :=
fun _i hi _j hj hij ↦ mul_le_mul (h₁ hi hj hij) (h₂ hi hj hij) (hf₂ _ hi) (hf₁ _ hj)
lemma AntivaryOn.mul_left₀ (hf₁ : ∀ i ∈ s, 0 ≤ f₁ i) (hf₂ : ∀ i ∈ s, 0 ≤ f₂ i)
(h₁ : AntivaryOn f₁ g s) (h₂ : AntivaryOn f₂ g s) : AntivaryOn (f₁ * f₂) g s :=
fun _i hi _j hj hij ↦ mul_le_mul (h₁ hi hj hij) (h₂ hi hj hij) (hf₂ _ hj) (hf₁ _ hi)
lemma MonovaryOn.pow_left₀ (hf : ∀ i ∈ s, 0 ≤ f i) (hfg : MonovaryOn f g s) (n : ℕ) :
MonovaryOn (f ^ n) g s :=
fun _i hi _j hj hij ↦ pow_le_pow_left₀ (hf _ hi) (hfg hi hj hij) _
lemma AntivaryOn.pow_left₀ (hf : ∀ i ∈ s, 0 ≤ f i) (hfg : AntivaryOn f g s) (n : ℕ) :
AntivaryOn (f ^ n) g s :=
fun _i hi _j hj hij ↦ pow_le_pow_left₀ (hf _ hj) (hfg hi hj hij) _
lemma Monovary.mul_left₀ (hf₁ : 0 ≤ f₁) (hf₂ : 0 ≤ f₂) (h₁ : Monovary f₁ g) (h₂ : Monovary f₂ g) :
Monovary (f₁ * f₂) g := fun _i _j hij ↦ mul_le_mul (h₁ hij) (h₂ hij) (hf₂ _) (hf₁ _)
lemma Antivary.mul_left₀ (hf₁ : 0 ≤ f₁) (hf₂ : 0 ≤ f₂) (h₁ : Antivary f₁ g) (h₂ : Antivary f₂ g) :
Antivary (f₁ * f₂) g := fun _i _j hij ↦ mul_le_mul (h₁ hij) (h₂ hij) (hf₂ _) (hf₁ _)
lemma Monovary.pow_left₀ (hf : 0 ≤ f) (hfg : Monovary f g) (n : ℕ) : Monovary (f ^ n) g :=
fun _i _j hij ↦ pow_le_pow_left₀ (hf _) (hfg hij) _
lemma Antivary.pow_left₀ (hf : 0 ≤ f) (hfg : Antivary f g) (n : ℕ) : Antivary (f ^ n) g :=
fun _i _j hij ↦ pow_le_pow_left₀ (hf _) (hfg hij) _
end OrderedSemiring
section LinearOrderedSemiring
variable [LinearOrder α] [Semiring β] [LinearOrder β] [IsStrictOrderedRing β]
{s : Set ι} {f : ι → α} {g g₁ g₂ : ι → β}
lemma MonovaryOn.mul_right₀ (hg₁ : ∀ i ∈ s, 0 ≤ g₁ i) (hg₂ : ∀ i ∈ s, 0 ≤ g₂ i)
(h₁ : MonovaryOn f g₁ s) (h₂ : MonovaryOn f g₂ s) : MonovaryOn f (g₁ * g₂) s :=
(h₁.symm.mul_left₀ hg₁ hg₂ h₂.symm).symm
lemma AntivaryOn.mul_right₀ (hg₁ : ∀ i ∈ s, 0 ≤ g₁ i) (hg₂ : ∀ i ∈ s, 0 ≤ g₂ i)
(h₁ : AntivaryOn f g₁ s) (h₂ : AntivaryOn f g₂ s) : AntivaryOn f (g₁ * g₂) s :=
(h₁.symm.mul_left₀ hg₁ hg₂ h₂.symm).symm
lemma MonovaryOn.pow_right₀ (hg : ∀ i ∈ s, 0 ≤ g i) (hfg : MonovaryOn f g s) (n : ℕ) :
MonovaryOn f (g ^ n) s := (hfg.symm.pow_left₀ hg _).symm
lemma AntivaryOn.pow_right₀ (hg : ∀ i ∈ s, 0 ≤ g i) (hfg : AntivaryOn f g s) (n : ℕ) :
AntivaryOn f (g ^ n) s := (hfg.symm.pow_left₀ hg _).symm
lemma Monovary.mul_right₀ (hg₁ : 0 ≤ g₁) (hg₂ : 0 ≤ g₂) (h₁ : Monovary f g₁) (h₂ : Monovary f g₂) :
Monovary f (g₁ * g₂) := (h₁.symm.mul_left₀ hg₁ hg₂ h₂.symm).symm
lemma Antivary.mul_right₀ (hg₁ : 0 ≤ g₁) (hg₂ : 0 ≤ g₂) (h₁ : Antivary f g₁) (h₂ : Antivary f g₂) :
Antivary f (g₁ * g₂) := (h₁.symm.mul_left₀ hg₁ hg₂ h₂.symm).symm
lemma Monovary.pow_right₀ (hg : 0 ≤ g) (hfg : Monovary f g) (n : ℕ) : Monovary f (g ^ n) :=
(hfg.symm.pow_left₀ hg _).symm
lemma Antivary.pow_right₀ (hg : 0 ≤ g) (hfg : Antivary f g) (n : ℕ) : Antivary f (g ^ n) :=
(hfg.symm.pow_left₀ hg _).symm
end LinearOrderedSemiring
section LinearOrderedSemifield
section
variable [Semifield α] [LinearOrder α] [IsStrictOrderedRing α] [LinearOrder β]
{s : Set ι} {f f₁ f₂ : ι → α} {g g₁ g₂ : ι → β}
@[simp]
lemma monovaryOn_inv_left₀ (hf : ∀ i ∈ s, 0 < f i) : MonovaryOn f⁻¹ g s ↔ AntivaryOn f g s :=
forall₅_congr fun _i hi _j hj _ ↦ inv_le_inv₀ (hf _ hi) (hf _ hj)
@[simp]
lemma antivaryOn_inv_left₀ (hf : ∀ i ∈ s, 0 < f i) : AntivaryOn f⁻¹ g s ↔ MonovaryOn f g s :=
forall₅_congr fun _i hi _j hj _ ↦ inv_le_inv₀ (hf _ hj) (hf _ hi)
@[simp] lemma monovary_inv_left₀ (hf : StrongLT 0 f) : Monovary f⁻¹ g ↔ Antivary f g :=
forall₃_congr fun _i _j _ ↦ inv_le_inv₀ (hf _) (hf _)
@[simp] lemma antivary_inv_left₀ (hf : StrongLT 0 f) : Antivary f⁻¹ g ↔ Monovary f g :=
forall₃_congr fun _i _j _ ↦ inv_le_inv₀ (hf _) (hf _)
lemma MonovaryOn.div_left₀ (hf₁ : ∀ i ∈ s, 0 ≤ f₁ i) (hf₂ : ∀ i ∈ s, 0 < f₂ i)
(h₁ : MonovaryOn f₁ g s) (h₂ : AntivaryOn f₂ g s) : MonovaryOn (f₁ / f₂) g s :=
fun _i hi _j hj hij ↦ div_le_div₀ (hf₁ _ hj) (h₁ hi hj hij) (hf₂ _ hj) <| h₂ hi hj hij
lemma AntivaryOn.div_left₀ (hf₁ : ∀ i ∈ s, 0 ≤ f₁ i) (hf₂ : ∀ i ∈ s, 0 < f₂ i)
(h₁ : AntivaryOn f₁ g s) (h₂ : MonovaryOn f₂ g s) : AntivaryOn (f₁ / f₂) g s :=
fun _i hi _j hj hij ↦ div_le_div₀ (hf₁ _ hi) (h₁ hi hj hij) (hf₂ _ hi) <| h₂ hi hj hij
lemma Monovary.div_left₀ (hf₁ : 0 ≤ f₁) (hf₂ : StrongLT 0 f₂) (h₁ : Monovary f₁ g)
(h₂ : Antivary f₂ g) : Monovary (f₁ / f₂) g :=
fun _i _j hij ↦ div_le_div₀ (hf₁ _) (h₁ hij) (hf₂ _) <| h₂ hij
lemma Antivary.div_left₀ (hf₁ : 0 ≤ f₁) (hf₂ : StrongLT 0 f₂) (h₁ : Antivary f₁ g)
(h₂ : Monovary f₂ g) : Antivary (f₁ / f₂) g :=
fun _i _j hij ↦ div_le_div₀ (hf₁ _) (h₁ hij) (hf₂ _) <| h₂ hij
end
section
variable [LinearOrder α] [Semifield β] [LinearOrder β] [IsStrictOrderedRing β]
{s : Set ι} {f f₁ f₂ : ι → α} {g g₁ g₂ : ι → β}
@[simp]
lemma monovaryOn_inv_right₀ (hg : ∀ i ∈ s, 0 < g i) : MonovaryOn f g⁻¹ s ↔ AntivaryOn f g s :=
forall₂_swap.trans <| forall₄_congr fun i hi j hj ↦ by simp [inv_lt_inv₀ (hg _ hj) (hg _ hi)]
@[simp]
lemma antivaryOn_inv_right₀ (hg : ∀ i ∈ s, 0 < g i) : AntivaryOn f g⁻¹ s ↔ MonovaryOn f g s :=
forall₂_swap.trans <| forall₄_congr fun i hi j hj ↦ by simp [inv_lt_inv₀ (hg _ hj) (hg _ hi)]
@[simp] lemma monovary_inv_right₀ (hg : StrongLT 0 g) : Monovary f g⁻¹ ↔ Antivary f g :=
forall_swap.trans <| forall₂_congr fun i j ↦ by simp [inv_lt_inv₀ (hg _) (hg _)]
@[simp] lemma antivary_inv_right₀ (hg : StrongLT 0 g) : Antivary f g⁻¹ ↔ Monovary f g :=
forall_swap.trans <| forall₂_congr fun i j ↦ by simp [inv_lt_inv₀ (hg _) (hg _)]
lemma MonovaryOn.div_right₀ (hg₁ : ∀ i ∈ s, 0 ≤ g₁ i) (hg₂ : ∀ i ∈ s, 0 < g₂ i)
(h₁ : MonovaryOn f g₁ s) (h₂ : AntivaryOn f g₂ s) : MonovaryOn f (g₁ / g₂) s :=
(h₁.symm.div_left₀ hg₁ hg₂ h₂.symm).symm
lemma AntivaryOn.div_right₀ (hg₁ : ∀ i ∈ s, 0 ≤ g₁ i) (hg₂ : ∀ i ∈ s, 0 < g₂ i)
(h₁ : AntivaryOn f g₁ s) (h₂ : MonovaryOn f g₂ s) : AntivaryOn f (g₁ / g₂) s :=
(h₁.symm.div_left₀ hg₁ hg₂ h₂.symm).symm
lemma Monovary.div_right₀ (hg₁ : 0 ≤ g₁) (hg₂ : StrongLT 0 g₂) (h₁ : Monovary f g₁)
(h₂ : Antivary f g₂) : Monovary f (g₁ / g₂) := (h₁.symm.div_left₀ hg₁ hg₂ h₂.symm).symm
lemma Antivary.div_right₀ (hg₁ : 0 ≤ g₁) (hg₂ : StrongLT 0 g₂) (h₁ : Antivary f g₁)
(h₂ : Monovary f g₂) : Antivary f (g₁ / g₂) := (h₁.symm.div_left₀ hg₁ hg₂ h₂.symm).symm
end
section
variable [Semifield α] [LinearOrder α] [IsStrictOrderedRing α]
[Semifield β] [LinearOrder β] [IsStrictOrderedRing β]
{s : Set ι} {f f₁ f₂ : ι → α} {g g₁ g₂ : ι → β}
lemma monovaryOn_inv₀ (hf : ∀ i ∈ s, 0 < f i) (hg : ∀ i ∈ s, 0 < g i) :
MonovaryOn f⁻¹ g⁻¹ s ↔ MonovaryOn f g s := by
rw [monovaryOn_inv_left₀ hf, antivaryOn_inv_right₀ hg]
lemma antivaryOn_inv₀ (hf : ∀ i ∈ s, 0 < f i) (hg : ∀ i ∈ s, 0 < g i) :
AntivaryOn f⁻¹ g⁻¹ s ↔ AntivaryOn f g s := by
rw [antivaryOn_inv_left₀ hf, monovaryOn_inv_right₀ hg]
lemma monovary_inv₀ (hf : StrongLT 0 f) (hg : StrongLT 0 g) : Monovary f⁻¹ g⁻¹ ↔ Monovary f g := by
rw [monovary_inv_left₀ hf, antivary_inv_right₀ hg]
lemma antivary_inv₀ (hf : StrongLT 0 f) (hg : StrongLT 0 g) : Antivary f⁻¹ g⁻¹ ↔ Antivary f g := by
rw [antivary_inv_left₀ hf, monovary_inv_right₀ hg]
end
alias ⟨MonovaryOn.of_inv_left₀, AntivaryOn.inv_left₀⟩ := monovaryOn_inv_left₀
| alias ⟨AntivaryOn.of_inv_left₀, MonovaryOn.inv_left₀⟩ := antivaryOn_inv_left₀
alias ⟨MonovaryOn.of_inv_right₀, AntivaryOn.inv_right₀⟩ := monovaryOn_inv_right₀
| Mathlib/Algebra/Order/Monovary.lean | 343 | 344 |
/-
Copyright (c) 2014 Jeremy Avigad. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jeremy Avigad, Andrew Zipperer, Haitao Zhang, Minchao Wu, Yury Kudryashov
-/
import Mathlib.Data.Set.Prod
import Mathlib.Data.Set.Restrict
/-!
# Functions over sets
This file contains basic results on the following predicates of functions and sets:
* `Set.EqOn f₁ f₂ s` : functions `f₁` and `f₂` are equal at every point of `s`;
* `Set.MapsTo f s t` : `f` sends every point of `s` to a point of `t`;
* `Set.InjOn f s` : restriction of `f` to `s` is injective;
* `Set.SurjOn f s t` : every point in `s` has a preimage in `s`;
* `Set.BijOn f s t` : `f` is a bijection between `s` and `t`;
* `Set.LeftInvOn f' f s` : for every `x ∈ s` we have `f' (f x) = x`;
* `Set.RightInvOn f' f t` : for every `y ∈ t` we have `f (f' y) = y`;
* `Set.InvOn f' f s t` : `f'` is a two-side inverse of `f` on `s` and `t`, i.e.
we have `Set.LeftInvOn f' f s` and `Set.RightInvOn f' f t`.
-/
variable {α β γ δ : Type*} {ι : Sort*} {π : α → Type*}
open Equiv Equiv.Perm Function
namespace Set
/-! ### Equality on a set -/
section equality
variable {s s₁ s₂ : Set α} {f₁ f₂ f₃ : α → β} {g : β → γ} {a : α}
/-- This lemma exists for use by `aesop` as a forward rule. -/
@[aesop safe forward]
lemma EqOn.eq_of_mem (h : s.EqOn f₁ f₂) (ha : a ∈ s) : f₁ a = f₂ a :=
h ha
@[simp]
theorem eqOn_empty (f₁ f₂ : α → β) : EqOn f₁ f₂ ∅ := fun _ => False.elim
@[simp]
theorem eqOn_singleton : Set.EqOn f₁ f₂ {a} ↔ f₁ a = f₂ a := by
simp [Set.EqOn]
@[simp]
theorem eqOn_univ (f₁ f₂ : α → β) : EqOn f₁ f₂ univ ↔ f₁ = f₂ := by
simp [EqOn, funext_iff]
@[symm]
theorem EqOn.symm (h : EqOn f₁ f₂ s) : EqOn f₂ f₁ s := fun _ hx => (h hx).symm
theorem eqOn_comm : EqOn f₁ f₂ s ↔ EqOn f₂ f₁ s :=
⟨EqOn.symm, EqOn.symm⟩
-- This can not be tagged as `@[refl]` with the current argument order.
-- See note below at `EqOn.trans`.
theorem eqOn_refl (f : α → β) (s : Set α) : EqOn f f s := fun _ _ => rfl
-- Note: this was formerly tagged with `@[trans]`, and although the `trans` attribute accepted it
-- the `trans` tactic could not use it.
-- An update to the trans tactic coming in https://github.com/leanprover-community/mathlib4/pull/7014 will reject this attribute.
-- It can be restored by changing the argument order from `EqOn f₁ f₂ s` to `EqOn s f₁ f₂`.
-- This change will be made separately: [zulip](https://leanprover.zulipchat.com/#narrow/stream/287929-mathlib4/topic/Reordering.20arguments.20of.20.60Set.2EEqOn.60/near/390467581).
theorem EqOn.trans (h₁ : EqOn f₁ f₂ s) (h₂ : EqOn f₂ f₃ s) : EqOn f₁ f₃ s := fun _ hx =>
(h₁ hx).trans (h₂ hx)
theorem EqOn.image_eq (heq : EqOn f₁ f₂ s) : f₁ '' s = f₂ '' s :=
image_congr heq
/-- Variant of `EqOn.image_eq`, for one function being the identity. -/
theorem EqOn.image_eq_self {f : α → α} (h : Set.EqOn f id s) : f '' s = s := by
rw [h.image_eq, image_id]
theorem EqOn.inter_preimage_eq (heq : EqOn f₁ f₂ s) (t : Set β) : s ∩ f₁ ⁻¹' t = s ∩ f₂ ⁻¹' t :=
ext fun x => and_congr_right_iff.2 fun hx => by rw [mem_preimage, mem_preimage, heq hx]
theorem EqOn.mono (hs : s₁ ⊆ s₂) (hf : EqOn f₁ f₂ s₂) : EqOn f₁ f₂ s₁ := fun _ hx => hf (hs hx)
@[simp]
theorem eqOn_union : EqOn f₁ f₂ (s₁ ∪ s₂) ↔ EqOn f₁ f₂ s₁ ∧ EqOn f₁ f₂ s₂ :=
forall₂_or_left
theorem EqOn.union (h₁ : EqOn f₁ f₂ s₁) (h₂ : EqOn f₁ f₂ s₂) : EqOn f₁ f₂ (s₁ ∪ s₂) :=
eqOn_union.2 ⟨h₁, h₂⟩
theorem EqOn.comp_left (h : s.EqOn f₁ f₂) : s.EqOn (g ∘ f₁) (g ∘ f₂) := fun _ ha =>
congr_arg _ <| h ha
@[simp]
theorem eqOn_range {ι : Sort*} {f : ι → α} {g₁ g₂ : α → β} :
EqOn g₁ g₂ (range f) ↔ g₁ ∘ f = g₂ ∘ f :=
forall_mem_range.trans <| funext_iff.symm
alias ⟨EqOn.comp_eq, _⟩ := eqOn_range
end equality
variable {s s₁ s₂ : Set α} {t t₁ t₂ : Set β} {p : Set γ} {f f₁ f₂ : α → β} {g g₁ g₂ : β → γ}
{f' f₁' f₂' : β → α} {g' : γ → β} {a : α} {b : β}
section MapsTo
theorem mapsTo' : MapsTo f s t ↔ f '' s ⊆ t :=
image_subset_iff.symm
theorem mapsTo_prodMap_diagonal : MapsTo (Prod.map f f) (diagonal α) (diagonal β) :=
diagonal_subset_iff.2 fun _ => rfl
@[deprecated (since := "2025-04-18")]
alias mapsTo_prod_map_diagonal := mapsTo_prodMap_diagonal
theorem MapsTo.subset_preimage (hf : MapsTo f s t) : s ⊆ f ⁻¹' t := hf
theorem mapsTo_iff_subset_preimage : MapsTo f s t ↔ s ⊆ f ⁻¹' t := Iff.rfl
@[simp]
theorem mapsTo_singleton {x : α} : MapsTo f {x} t ↔ f x ∈ t :=
singleton_subset_iff
theorem mapsTo_empty (f : α → β) (t : Set β) : MapsTo f ∅ t :=
empty_subset _
@[simp] theorem mapsTo_empty_iff : MapsTo f s ∅ ↔ s = ∅ := by
simp [mapsTo', subset_empty_iff]
/-- If `f` maps `s` to `t` and `s` is non-empty, `t` is non-empty. -/
theorem MapsTo.nonempty (h : MapsTo f s t) (hs : s.Nonempty) : t.Nonempty :=
(hs.image f).mono (mapsTo'.mp h)
theorem MapsTo.image_subset (h : MapsTo f s t) : f '' s ⊆ t :=
mapsTo'.1 h
theorem MapsTo.congr (h₁ : MapsTo f₁ s t) (h : EqOn f₁ f₂ s) : MapsTo f₂ s t := fun _ hx =>
h hx ▸ h₁ hx
theorem EqOn.comp_right (hg : t.EqOn g₁ g₂) (hf : s.MapsTo f t) : s.EqOn (g₁ ∘ f) (g₂ ∘ f) :=
fun _ ha => hg <| hf ha
theorem EqOn.mapsTo_iff (H : EqOn f₁ f₂ s) : MapsTo f₁ s t ↔ MapsTo f₂ s t :=
⟨fun h => h.congr H, fun h => h.congr H.symm⟩
theorem MapsTo.comp (h₁ : MapsTo g t p) (h₂ : MapsTo f s t) : MapsTo (g ∘ f) s p := fun _ h =>
h₁ (h₂ h)
theorem mapsTo_id (s : Set α) : MapsTo id s s := fun _ => id
theorem MapsTo.iterate {f : α → α} {s : Set α} (h : MapsTo f s s) : ∀ n, MapsTo f^[n] s s
| 0 => fun _ => id
| n + 1 => (MapsTo.iterate h n).comp h
theorem MapsTo.iterate_restrict {f : α → α} {s : Set α} (h : MapsTo f s s) (n : ℕ) :
(h.restrict f s s)^[n] = (h.iterate n).restrict _ _ _ := by
funext x
rw [Subtype.ext_iff, MapsTo.val_restrict_apply]
induction n generalizing x with
| zero => rfl
| succ n ihn => simp [Nat.iterate, ihn]
lemma mapsTo_of_subsingleton' [Subsingleton β] (f : α → β) (h : s.Nonempty → t.Nonempty) :
MapsTo f s t :=
fun a ha ↦ Subsingleton.mem_iff_nonempty.2 <| h ⟨a, ha⟩
lemma mapsTo_of_subsingleton [Subsingleton α] (f : α → α) (s : Set α) : MapsTo f s s :=
mapsTo_of_subsingleton' _ id
theorem MapsTo.mono (hf : MapsTo f s₁ t₁) (hs : s₂ ⊆ s₁) (ht : t₁ ⊆ t₂) : MapsTo f s₂ t₂ :=
fun _ hx => ht (hf <| hs hx)
theorem MapsTo.mono_left (hf : MapsTo f s₁ t) (hs : s₂ ⊆ s₁) : MapsTo f s₂ t := fun _ hx =>
hf (hs hx)
theorem MapsTo.mono_right (hf : MapsTo f s t₁) (ht : t₁ ⊆ t₂) : MapsTo f s t₂ := fun _ hx =>
ht (hf hx)
theorem MapsTo.union_union (h₁ : MapsTo f s₁ t₁) (h₂ : MapsTo f s₂ t₂) :
MapsTo f (s₁ ∪ s₂) (t₁ ∪ t₂) := fun _ hx =>
hx.elim (fun hx => Or.inl <| h₁ hx) fun hx => Or.inr <| h₂ hx
theorem MapsTo.union (h₁ : MapsTo f s₁ t) (h₂ : MapsTo f s₂ t) : MapsTo f (s₁ ∪ s₂) t :=
union_self t ▸ h₁.union_union h₂
@[simp]
theorem mapsTo_union : MapsTo f (s₁ ∪ s₂) t ↔ MapsTo f s₁ t ∧ MapsTo f s₂ t :=
⟨fun h =>
⟨h.mono subset_union_left (Subset.refl t),
h.mono subset_union_right (Subset.refl t)⟩,
fun h => h.1.union h.2⟩
theorem MapsTo.inter (h₁ : MapsTo f s t₁) (h₂ : MapsTo f s t₂) : MapsTo f s (t₁ ∩ t₂) := fun _ hx =>
⟨h₁ hx, h₂ hx⟩
lemma MapsTo.insert (h : MapsTo f s t) (x : α) : MapsTo f (insert x s) (insert (f x) t) := by
simpa [← singleton_union] using h.mono_right subset_union_right
theorem MapsTo.inter_inter (h₁ : MapsTo f s₁ t₁) (h₂ : MapsTo f s₂ t₂) :
MapsTo f (s₁ ∩ s₂) (t₁ ∩ t₂) := fun _ hx => ⟨h₁ hx.1, h₂ hx.2⟩
@[simp]
theorem mapsTo_inter : MapsTo f s (t₁ ∩ t₂) ↔ MapsTo f s t₁ ∧ MapsTo f s t₂ :=
⟨fun h =>
⟨h.mono (Subset.refl s) inter_subset_left,
h.mono (Subset.refl s) inter_subset_right⟩,
fun h => h.1.inter h.2⟩
theorem mapsTo_univ (f : α → β) (s : Set α) : MapsTo f s univ := fun _ _ => trivial
theorem mapsTo_range (f : α → β) (s : Set α) : MapsTo f s (range f) :=
(mapsTo_image f s).mono (Subset.refl s) (image_subset_range _ _)
@[simp]
theorem mapsTo_image_iff {f : α → β} {g : γ → α} {s : Set γ} {t : Set β} :
MapsTo f (g '' s) t ↔ MapsTo (f ∘ g) s t :=
⟨fun h c hc => h ⟨c, hc, rfl⟩, fun h _ ⟨_, hc⟩ => hc.2 ▸ h hc.1⟩
lemma MapsTo.comp_left (g : β → γ) (hf : MapsTo f s t) : MapsTo (g ∘ f) s (g '' t) :=
fun x hx ↦ ⟨f x, hf hx, rfl⟩
lemma MapsTo.comp_right {s : Set β} {t : Set γ} (hg : MapsTo g s t) (f : α → β) :
MapsTo (g ∘ f) (f ⁻¹' s) t := fun _ hx ↦ hg hx
@[simp]
lemma mapsTo_univ_iff : MapsTo f univ t ↔ ∀ x, f x ∈ t :=
⟨fun h _ => h (mem_univ _), fun h x _ => h x⟩
@[simp]
lemma mapsTo_range_iff {g : ι → α} : MapsTo f (range g) t ↔ ∀ i, f (g i) ∈ t :=
forall_mem_range
theorem MapsTo.mem_iff (h : MapsTo f s t) (hc : MapsTo f sᶜ tᶜ) {x} : f x ∈ t ↔ x ∈ s :=
⟨fun ht => by_contra fun hs => hc hs ht, fun hx => h hx⟩
end MapsTo
/-! ### Injectivity on a set -/
section injOn
theorem Subsingleton.injOn (hs : s.Subsingleton) (f : α → β) : InjOn f s := fun _ hx _ hy _ =>
hs hx hy
@[simp]
theorem injOn_empty (f : α → β) : InjOn f ∅ :=
subsingleton_empty.injOn f
@[simp]
theorem injOn_singleton (f : α → β) (a : α) : InjOn f {a} :=
subsingleton_singleton.injOn f
@[simp] lemma injOn_pair {b : α} : InjOn f {a, b} ↔ f a = f b → a = b := by unfold InjOn; aesop
theorem InjOn.eq_iff {x y} (h : InjOn f s) (hx : x ∈ s) (hy : y ∈ s) : f x = f y ↔ x = y :=
⟨h hx hy, fun h => h ▸ rfl⟩
theorem InjOn.ne_iff {x y} (h : InjOn f s) (hx : x ∈ s) (hy : y ∈ s) : f x ≠ f y ↔ x ≠ y :=
(h.eq_iff hx hy).not
alias ⟨_, InjOn.ne⟩ := InjOn.ne_iff
theorem InjOn.congr (h₁ : InjOn f₁ s) (h : EqOn f₁ f₂ s) : InjOn f₂ s := fun _ hx _ hy =>
h hx ▸ h hy ▸ h₁ hx hy
theorem EqOn.injOn_iff (H : EqOn f₁ f₂ s) : InjOn f₁ s ↔ InjOn f₂ s :=
⟨fun h => h.congr H, fun h => h.congr H.symm⟩
theorem InjOn.mono (h : s₁ ⊆ s₂) (ht : InjOn f s₂) : InjOn f s₁ := fun _ hx _ hy H =>
ht (h hx) (h hy) H
theorem injOn_union (h : Disjoint s₁ s₂) :
InjOn f (s₁ ∪ s₂) ↔ InjOn f s₁ ∧ InjOn f s₂ ∧ ∀ x ∈ s₁, ∀ y ∈ s₂, f x ≠ f y := by
refine ⟨fun H => ⟨H.mono subset_union_left, H.mono subset_union_right, ?_⟩, ?_⟩
· intro x hx y hy hxy
obtain rfl : x = y := H (Or.inl hx) (Or.inr hy) hxy
exact h.le_bot ⟨hx, hy⟩
· rintro ⟨h₁, h₂, h₁₂⟩
rintro x (hx | hx) y (hy | hy) hxy
exacts [h₁ hx hy hxy, (h₁₂ _ hx _ hy hxy).elim, (h₁₂ _ hy _ hx hxy.symm).elim, h₂ hx hy hxy]
theorem injOn_insert {f : α → β} {s : Set α} {a : α} (has : a ∉ s) :
Set.InjOn f (insert a s) ↔ Set.InjOn f s ∧ f a ∉ f '' s := by
rw [← union_singleton, injOn_union (disjoint_singleton_right.2 has)]
simp
theorem injective_iff_injOn_univ : Injective f ↔ InjOn f univ :=
⟨fun h _ _ _ _ hxy => h hxy, fun h _ _ heq => h trivial trivial heq⟩
theorem injOn_of_injective (h : Injective f) {s : Set α} : InjOn f s := fun _ _ _ _ hxy => h hxy
alias _root_.Function.Injective.injOn := injOn_of_injective
-- A specialization of `injOn_of_injective` for `Subtype.val`.
theorem injOn_subtype_val {s : Set { x // p x }} : Set.InjOn Subtype.val s :=
Subtype.coe_injective.injOn
lemma injOn_id (s : Set α) : InjOn id s := injective_id.injOn
theorem InjOn.comp (hg : InjOn g t) (hf : InjOn f s) (h : MapsTo f s t) : InjOn (g ∘ f) s :=
fun _ hx _ hy heq => hf hx hy <| hg (h hx) (h hy) heq
lemma InjOn.of_comp (h : InjOn (g ∘ f) s) : InjOn f s :=
fun _ hx _ hy heq ↦ h hx hy (by simp [heq])
lemma InjOn.image_of_comp (h : InjOn (g ∘ f) s) : InjOn g (f '' s) :=
forall_mem_image.2 fun _x hx ↦ forall_mem_image.2 fun _y hy heq ↦ congr_arg f <| h hx hy heq
lemma InjOn.comp_iff (hf : InjOn f s) : InjOn (g ∘ f) s ↔ InjOn g (f '' s) :=
⟨image_of_comp, fun h ↦ InjOn.comp h hf <| mapsTo_image f s⟩
lemma InjOn.iterate {f : α → α} {s : Set α} (h : InjOn f s) (hf : MapsTo f s s) :
∀ n, InjOn f^[n] s
| 0 => injOn_id _
| (n + 1) => (h.iterate hf n).comp h hf
lemma injOn_of_subsingleton [Subsingleton α] (f : α → β) (s : Set α) : InjOn f s :=
(injective_of_subsingleton _).injOn
theorem _root_.Function.Injective.injOn_range (h : Injective (g ∘ f)) : InjOn g (range f) := by
rintro _ ⟨x, rfl⟩ _ ⟨y, rfl⟩ H
exact congr_arg f (h H)
theorem _root_.Set.InjOn.injective_iff (s : Set β) (h : InjOn g s) (hs : range f ⊆ s) :
Injective (g ∘ f) ↔ Injective f :=
⟨(·.of_comp), fun h _ ↦ by aesop⟩
theorem exists_injOn_iff_injective [Nonempty β] :
(∃ f : α → β, InjOn f s) ↔ ∃ f : s → β, Injective f :=
⟨fun ⟨_, hf⟩ => ⟨_, hf.injective⟩,
fun ⟨f, hf⟩ => by
lift f to α → β using trivial
exact ⟨f, injOn_iff_injective.2 hf⟩⟩
theorem injOn_preimage {B : Set (Set β)} (hB : B ⊆ 𝒫 range f) : InjOn (preimage f) B :=
fun _ hs _ ht hst => (preimage_eq_preimage' (hB hs) (hB ht)).1 hst
theorem InjOn.mem_of_mem_image {x} (hf : InjOn f s) (hs : s₁ ⊆ s) (h : x ∈ s) (h₁ : f x ∈ f '' s₁) :
x ∈ s₁ :=
let ⟨_, h', Eq⟩ := h₁
hf (hs h') h Eq ▸ h'
theorem InjOn.mem_image_iff {x} (hf : InjOn f s) (hs : s₁ ⊆ s) (hx : x ∈ s) :
f x ∈ f '' s₁ ↔ x ∈ s₁ :=
⟨hf.mem_of_mem_image hs hx, mem_image_of_mem f⟩
theorem InjOn.preimage_image_inter (hf : InjOn f s) (hs : s₁ ⊆ s) : f ⁻¹' (f '' s₁) ∩ s = s₁ :=
ext fun _ => ⟨fun ⟨h₁, h₂⟩ => hf.mem_of_mem_image hs h₂ h₁, fun h => ⟨mem_image_of_mem _ h, hs h⟩⟩
theorem EqOn.cancel_left (h : s.EqOn (g ∘ f₁) (g ∘ f₂)) (hg : t.InjOn g) (hf₁ : s.MapsTo f₁ t)
(hf₂ : s.MapsTo f₂ t) : s.EqOn f₁ f₂ := fun _ ha => hg (hf₁ ha) (hf₂ ha) (h ha)
theorem InjOn.cancel_left (hg : t.InjOn g) (hf₁ : s.MapsTo f₁ t) (hf₂ : s.MapsTo f₂ t) :
s.EqOn (g ∘ f₁) (g ∘ f₂) ↔ s.EqOn f₁ f₂ :=
⟨fun h => h.cancel_left hg hf₁ hf₂, EqOn.comp_left⟩
lemma InjOn.image_inter {s t u : Set α} (hf : u.InjOn f) (hs : s ⊆ u) (ht : t ⊆ u) :
f '' (s ∩ t) = f '' s ∩ f '' t := by
apply Subset.antisymm (image_inter_subset _ _ _)
intro x ⟨⟨y, ys, hy⟩, ⟨z, zt, hz⟩⟩
have : y = z := by
apply hf (hs ys) (ht zt)
rwa [← hz] at hy
rw [← this] at zt
exact ⟨y, ⟨ys, zt⟩, hy⟩
lemma InjOn.image (h : s.InjOn f) : s.powerset.InjOn (image f) :=
fun s₁ hs₁ s₂ hs₂ h' ↦ by rw [← h.preimage_image_inter hs₁, h', h.preimage_image_inter hs₂]
theorem InjOn.image_eq_image_iff (h : s.InjOn f) (h₁ : s₁ ⊆ s) (h₂ : s₂ ⊆ s) :
f '' s₁ = f '' s₂ ↔ s₁ = s₂ :=
h.image.eq_iff h₁ h₂
lemma InjOn.image_subset_image_iff (h : s.InjOn f) (h₁ : s₁ ⊆ s) (h₂ : s₂ ⊆ s) :
f '' s₁ ⊆ f '' s₂ ↔ s₁ ⊆ s₂ := by
refine ⟨fun h' ↦ ?_, image_subset _⟩
rw [← h.preimage_image_inter h₁, ← h.preimage_image_inter h₂]
exact inter_subset_inter_left _ (preimage_mono h')
lemma InjOn.image_ssubset_image_iff (h : s.InjOn f) (h₁ : s₁ ⊆ s) (h₂ : s₂ ⊆ s) :
f '' s₁ ⊂ f '' s₂ ↔ s₁ ⊂ s₂ := by
simp_rw [ssubset_def, h.image_subset_image_iff h₁ h₂, h.image_subset_image_iff h₂ h₁]
-- TODO: can this move to a better place?
theorem _root_.Disjoint.image {s t u : Set α} {f : α → β} (h : Disjoint s t) (hf : u.InjOn f)
(hs : s ⊆ u) (ht : t ⊆ u) : Disjoint (f '' s) (f '' t) := by
rw [disjoint_iff_inter_eq_empty] at h ⊢
rw [← hf.image_inter hs ht, h, image_empty]
lemma InjOn.image_diff {t : Set α} (h : s.InjOn f) : f '' (s \ t) = f '' s \ f '' (s ∩ t) := by
refine subset_antisymm (subset_diff.2 ⟨image_subset f diff_subset, ?_⟩)
(diff_subset_iff.2 (by rw [← image_union, inter_union_diff]))
exact Disjoint.image disjoint_sdiff_inter h diff_subset inter_subset_left
lemma InjOn.image_diff_subset {f : α → β} {t : Set α} (h : InjOn f s) (hst : t ⊆ s) :
f '' (s \ t) = f '' s \ f '' t := by
rw [h.image_diff, inter_eq_self_of_subset_right hst]
alias image_diff_of_injOn := InjOn.image_diff_subset
theorem InjOn.imageFactorization_injective (h : InjOn f s) :
Injective (s.imageFactorization f) :=
fun ⟨x, hx⟩ ⟨y, hy⟩ h' ↦ by simpa [imageFactorization, h.eq_iff hx hy] using h'
@[simp] theorem imageFactorization_injective_iff : Injective (s.imageFactorization f) ↔ InjOn f s :=
⟨fun h x hx y hy _ ↦ by simpa using @h ⟨x, hx⟩ ⟨y, hy⟩ (by simpa [imageFactorization]),
InjOn.imageFactorization_injective⟩
end injOn
section graphOn
variable {x : α × β}
lemma graphOn_univ_inj {g : α → β} : univ.graphOn f = univ.graphOn g ↔ f = g := by simp
lemma graphOn_univ_injective : Injective (univ.graphOn : (α → β) → Set (α × β)) :=
fun _f _g ↦ graphOn_univ_inj.1
lemma exists_eq_graphOn_image_fst [Nonempty β] {s : Set (α × β)} :
(∃ f : α → β, s = graphOn f (Prod.fst '' s)) ↔ InjOn Prod.fst s := by
refine ⟨?_, fun h ↦ ?_⟩
· rintro ⟨f, hf⟩
rw [hf]
exact InjOn.image_of_comp <| injOn_id _
· have : ∀ x ∈ Prod.fst '' s, ∃ y, (x, y) ∈ s := forall_mem_image.2 fun (x, y) h ↦ ⟨y, h⟩
choose! f hf using this
rw [forall_mem_image] at hf
use f
rw [graphOn, image_image, EqOn.image_eq_self]
exact fun x hx ↦ h (hf hx) hx rfl
lemma exists_eq_graphOn [Nonempty β] {s : Set (α × β)} :
(∃ f t, s = graphOn f t) ↔ InjOn Prod.fst s :=
.trans ⟨fun ⟨f, t, hs⟩ ↦ ⟨f, by rw [hs, image_fst_graphOn]⟩, fun ⟨f, hf⟩ ↦ ⟨f, _, hf⟩⟩
exists_eq_graphOn_image_fst
end graphOn
/-! ### Surjectivity on a set -/
section surjOn
theorem SurjOn.subset_range (h : SurjOn f s t) : t ⊆ range f :=
Subset.trans h <| image_subset_range f s
theorem surjOn_iff_exists_map_subtype :
SurjOn f s t ↔ ∃ (t' : Set β) (g : s → t'), t ⊆ t' ∧ Surjective g ∧ ∀ x : s, f x = g x :=
⟨fun h =>
⟨_, (mapsTo_image f s).restrict f s _, h, surjective_mapsTo_image_restrict _ _, fun _ => rfl⟩,
fun ⟨t', g, htt', hg, hfg⟩ y hy =>
let ⟨x, hx⟩ := hg ⟨y, htt' hy⟩
⟨x, x.2, by rw [hfg, hx, Subtype.coe_mk]⟩⟩
theorem surjOn_empty (f : α → β) (s : Set α) : SurjOn f s ∅ :=
empty_subset _
@[simp] theorem surjOn_empty_iff : SurjOn f ∅ t ↔ t = ∅ := by
simp [SurjOn, subset_empty_iff]
@[simp] lemma surjOn_singleton : SurjOn f s {b} ↔ b ∈ f '' s := singleton_subset_iff
theorem surjOn_image (f : α → β) (s : Set α) : SurjOn f s (f '' s) :=
Subset.rfl
theorem SurjOn.comap_nonempty (h : SurjOn f s t) (ht : t.Nonempty) : s.Nonempty :=
(ht.mono h).of_image
theorem SurjOn.congr (h : SurjOn f₁ s t) (H : EqOn f₁ f₂ s) : SurjOn f₂ s t := by
rwa [SurjOn, ← H.image_eq]
theorem EqOn.surjOn_iff (h : EqOn f₁ f₂ s) : SurjOn f₁ s t ↔ SurjOn f₂ s t :=
⟨fun H => H.congr h, fun H => H.congr h.symm⟩
theorem SurjOn.mono (hs : s₁ ⊆ s₂) (ht : t₁ ⊆ t₂) (hf : SurjOn f s₁ t₂) : SurjOn f s₂ t₁ :=
Subset.trans ht <| Subset.trans hf <| image_subset _ hs
theorem SurjOn.union (h₁ : SurjOn f s t₁) (h₂ : SurjOn f s t₂) : SurjOn f s (t₁ ∪ t₂) := fun _ hx =>
hx.elim (fun hx => h₁ hx) fun hx => h₂ hx
theorem SurjOn.union_union (h₁ : SurjOn f s₁ t₁) (h₂ : SurjOn f s₂ t₂) :
SurjOn f (s₁ ∪ s₂) (t₁ ∪ t₂) :=
(h₁.mono subset_union_left (Subset.refl _)).union
(h₂.mono subset_union_right (Subset.refl _))
theorem SurjOn.inter_inter (h₁ : SurjOn f s₁ t₁) (h₂ : SurjOn f s₂ t₂) (h : InjOn f (s₁ ∪ s₂)) :
SurjOn f (s₁ ∩ s₂) (t₁ ∩ t₂) := by
intro y hy
rcases h₁ hy.1 with ⟨x₁, hx₁, rfl⟩
rcases h₂ hy.2 with ⟨x₂, hx₂, heq⟩
obtain rfl : x₁ = x₂ := h (Or.inl hx₁) (Or.inr hx₂) heq.symm
exact mem_image_of_mem f ⟨hx₁, hx₂⟩
theorem SurjOn.inter (h₁ : SurjOn f s₁ t) (h₂ : SurjOn f s₂ t) (h : InjOn f (s₁ ∪ s₂)) :
SurjOn f (s₁ ∩ s₂) t :=
inter_self t ▸ h₁.inter_inter h₂ h
lemma surjOn_id (s : Set α) : SurjOn id s s := by simp [SurjOn]
theorem SurjOn.comp (hg : SurjOn g t p) (hf : SurjOn f s t) : SurjOn (g ∘ f) s p :=
Subset.trans hg <| Subset.trans (image_subset g hf) <| image_comp g f s ▸ Subset.refl _
lemma SurjOn.of_comp (h : SurjOn (g ∘ f) s p) (hr : MapsTo f s t) : SurjOn g t p := by
intro z hz
obtain ⟨x, hx, rfl⟩ := h hz
exact ⟨f x, hr hx, rfl⟩
lemma surjOn_comp_iff : SurjOn (g ∘ f) s p ↔ SurjOn g (f '' s) p :=
⟨fun h ↦ h.of_comp <| mapsTo_image f s, fun h ↦ h.comp <| surjOn_image _ _⟩
lemma SurjOn.iterate {f : α → α} {s : Set α} (h : SurjOn f s s) : ∀ n, SurjOn f^[n] s s
| 0 => surjOn_id _
| (n + 1) => (h.iterate n).comp h
lemma SurjOn.comp_left (hf : SurjOn f s t) (g : β → γ) : SurjOn (g ∘ f) s (g '' t) := by
rw [SurjOn, image_comp g f]; exact image_subset _ hf
lemma SurjOn.comp_right {s : Set β} {t : Set γ} (hf : Surjective f) (hg : SurjOn g s t) :
SurjOn (g ∘ f) (f ⁻¹' s) t := by
rwa [SurjOn, image_comp g f, image_preimage_eq _ hf]
lemma surjOn_of_subsingleton' [Subsingleton β] (f : α → β) (h : t.Nonempty → s.Nonempty) :
SurjOn f s t :=
fun _ ha ↦ Subsingleton.mem_iff_nonempty.2 <| (h ⟨_, ha⟩).image _
lemma surjOn_of_subsingleton [Subsingleton α] (f : α → α) (s : Set α) : SurjOn f s s :=
surjOn_of_subsingleton' _ id
theorem surjective_iff_surjOn_univ : Surjective f ↔ SurjOn f univ univ := by
simp [Surjective, SurjOn, subset_def]
theorem SurjOn.image_eq_of_mapsTo (h₁ : SurjOn f s t) (h₂ : MapsTo f s t) : f '' s = t :=
eq_of_subset_of_subset h₂.image_subset h₁
theorem image_eq_iff_surjOn_mapsTo : f '' s = t ↔ s.SurjOn f t ∧ s.MapsTo f t := by
refine ⟨?_, fun h => h.1.image_eq_of_mapsTo h.2⟩
rintro rfl
exact ⟨s.surjOn_image f, s.mapsTo_image f⟩
lemma SurjOn.image_preimage (h : Set.SurjOn f s t) (ht : t₁ ⊆ t) : f '' (f ⁻¹' t₁) = t₁ :=
image_preimage_eq_iff.2 fun _ hx ↦ mem_range_of_mem_image f s <| h <| ht hx
theorem SurjOn.mapsTo_compl (h : SurjOn f s t) (h' : Injective f) : MapsTo f sᶜ tᶜ :=
fun _ hs ht =>
let ⟨_, hx', HEq⟩ := h ht
hs <| h' HEq ▸ hx'
theorem MapsTo.surjOn_compl (h : MapsTo f s t) (h' : Surjective f) : SurjOn f sᶜ tᶜ :=
h'.forall.2 fun _ ht => (mem_image_of_mem _) fun hs => ht (h hs)
theorem EqOn.cancel_right (hf : s.EqOn (g₁ ∘ f) (g₂ ∘ f)) (hf' : s.SurjOn f t) : t.EqOn g₁ g₂ := by
intro b hb
obtain ⟨a, ha, rfl⟩ := hf' hb
exact hf ha
theorem SurjOn.cancel_right (hf : s.SurjOn f t) (hf' : s.MapsTo f t) :
s.EqOn (g₁ ∘ f) (g₂ ∘ f) ↔ t.EqOn g₁ g₂ :=
⟨fun h => h.cancel_right hf, fun h => h.comp_right hf'⟩
theorem eqOn_comp_right_iff : s.EqOn (g₁ ∘ f) (g₂ ∘ f) ↔ (f '' s).EqOn g₁ g₂ :=
(s.surjOn_image f).cancel_right <| s.mapsTo_image f
theorem SurjOn.forall {p : β → Prop} (hf : s.SurjOn f t) (hf' : s.MapsTo f t) :
(∀ y ∈ t, p y) ↔ (∀ x ∈ s, p (f x)) :=
⟨fun H x hx ↦ H (f x) (hf' hx), fun H _y hy ↦ let ⟨x, hx, hxy⟩ := hf hy; hxy ▸ H x hx⟩
end surjOn
/-! ### Bijectivity -/
section bijOn
theorem BijOn.mapsTo (h : BijOn f s t) : MapsTo f s t :=
h.left
theorem BijOn.injOn (h : BijOn f s t) : InjOn f s :=
h.right.left
theorem BijOn.surjOn (h : BijOn f s t) : SurjOn f s t :=
h.right.right
theorem BijOn.mk (h₁ : MapsTo f s t) (h₂ : InjOn f s) (h₃ : SurjOn f s t) : BijOn f s t :=
⟨h₁, h₂, h₃⟩
theorem bijOn_empty (f : α → β) : BijOn f ∅ ∅ :=
⟨mapsTo_empty f ∅, injOn_empty f, surjOn_empty f ∅⟩
@[simp] theorem bijOn_empty_iff_left : BijOn f s ∅ ↔ s = ∅ :=
⟨fun h ↦ by simpa using h.mapsTo, by rintro rfl; exact bijOn_empty f⟩
@[simp] theorem bijOn_empty_iff_right : BijOn f ∅ t ↔ t = ∅ :=
⟨fun h ↦ by simpa using h.surjOn, by rintro rfl; exact bijOn_empty f⟩
@[simp] lemma bijOn_singleton : BijOn f {a} {b} ↔ f a = b := by simp [BijOn, eq_comm]
theorem BijOn.inter_mapsTo (h₁ : BijOn f s₁ t₁) (h₂ : MapsTo f s₂ t₂) (h₃ : s₁ ∩ f ⁻¹' t₂ ⊆ s₂) :
BijOn f (s₁ ∩ s₂) (t₁ ∩ t₂) :=
⟨h₁.mapsTo.inter_inter h₂, h₁.injOn.mono inter_subset_left, fun _ hy =>
let ⟨x, hx, hxy⟩ := h₁.surjOn hy.1
⟨x, ⟨hx, h₃ ⟨hx, hxy.symm.subst hy.2⟩⟩, hxy⟩⟩
theorem MapsTo.inter_bijOn (h₁ : MapsTo f s₁ t₁) (h₂ : BijOn f s₂ t₂) (h₃ : s₂ ∩ f ⁻¹' t₁ ⊆ s₁) :
BijOn f (s₁ ∩ s₂) (t₁ ∩ t₂) :=
inter_comm s₂ s₁ ▸ inter_comm t₂ t₁ ▸ h₂.inter_mapsTo h₁ h₃
theorem BijOn.inter (h₁ : BijOn f s₁ t₁) (h₂ : BijOn f s₂ t₂) (h : InjOn f (s₁ ∪ s₂)) :
BijOn f (s₁ ∩ s₂) (t₁ ∩ t₂) :=
⟨h₁.mapsTo.inter_inter h₂.mapsTo, h₁.injOn.mono inter_subset_left,
h₁.surjOn.inter_inter h₂.surjOn h⟩
theorem BijOn.union (h₁ : BijOn f s₁ t₁) (h₂ : BijOn f s₂ t₂) (h : InjOn f (s₁ ∪ s₂)) :
BijOn f (s₁ ∪ s₂) (t₁ ∪ t₂) :=
⟨h₁.mapsTo.union_union h₂.mapsTo, h, h₁.surjOn.union_union h₂.surjOn⟩
theorem BijOn.subset_range (h : BijOn f s t) : t ⊆ range f :=
h.surjOn.subset_range
theorem InjOn.bijOn_image (h : InjOn f s) : BijOn f s (f '' s) :=
BijOn.mk (mapsTo_image f s) h (Subset.refl _)
theorem BijOn.congr (h₁ : BijOn f₁ s t) (h : EqOn f₁ f₂ s) : BijOn f₂ s t :=
BijOn.mk (h₁.mapsTo.congr h) (h₁.injOn.congr h) (h₁.surjOn.congr h)
theorem EqOn.bijOn_iff (H : EqOn f₁ f₂ s) : BijOn f₁ s t ↔ BijOn f₂ s t :=
⟨fun h => h.congr H, fun h => h.congr H.symm⟩
theorem BijOn.image_eq (h : BijOn f s t) : f '' s = t :=
h.surjOn.image_eq_of_mapsTo h.mapsTo
lemma BijOn.forall {p : β → Prop} (hf : BijOn f s t) : (∀ b ∈ t, p b) ↔ ∀ a ∈ s, p (f a) where
mp h _ ha := h _ <| hf.mapsTo ha
mpr h b hb := by obtain ⟨a, ha, rfl⟩ := hf.surjOn hb; exact h _ ha
lemma BijOn.exists {p : β → Prop} (hf : BijOn f s t) : (∃ b ∈ t, p b) ↔ ∃ a ∈ s, p (f a) where
mp := by rintro ⟨b, hb, h⟩; obtain ⟨a, ha, rfl⟩ := hf.surjOn hb; exact ⟨a, ha, h⟩
mpr := by rintro ⟨a, ha, h⟩; exact ⟨f a, hf.mapsTo ha, h⟩
lemma _root_.Equiv.image_eq_iff_bijOn (e : α ≃ β) : e '' s = t ↔ BijOn e s t :=
⟨fun h ↦ ⟨(mapsTo_image e s).mono_right h.subset, e.injective.injOn, h ▸ surjOn_image e s⟩,
BijOn.image_eq⟩
lemma bijOn_id (s : Set α) : BijOn id s s := ⟨s.mapsTo_id, s.injOn_id, s.surjOn_id⟩
theorem BijOn.comp (hg : BijOn g t p) (hf : BijOn f s t) : BijOn (g ∘ f) s p :=
BijOn.mk (hg.mapsTo.comp hf.mapsTo) (hg.injOn.comp hf.injOn hf.mapsTo) (hg.surjOn.comp hf.surjOn)
/-- If `f : α → β` and `g : β → γ` and if `f` is injective on `s`, then `f ∘ g` is a bijection
on `s` iff `g` is a bijection on `f '' s`. -/
theorem bijOn_comp_iff (hf : InjOn f s) : BijOn (g ∘ f) s p ↔ BijOn g (f '' s) p := by
simp only [BijOn, InjOn.comp_iff, surjOn_comp_iff, mapsTo_image_iff, hf]
/--
If we have a commutative square
```
α --f--> β
| |
p₁ p₂
| |
\/ \/
γ --g--> δ
```
and `f` induces a bijection from `s : Set α` to `t : Set β`, then `g`
induces a bijection from the image of `s` to the image of `t`, as long as `g` is
is injective on the image of `s`.
-/
theorem bijOn_image_image {p₁ : α → γ} {p₂ : β → δ} {g : γ → δ} (comm : ∀ a, p₂ (f a) = g (p₁ a))
(hbij : BijOn f s t) (hinj: InjOn g (p₁ '' s)) : BijOn g (p₁ '' s) (p₂ '' t) := by
obtain ⟨h1, h2, h3⟩ := hbij
refine ⟨?_, hinj, ?_⟩
· rintro _ ⟨a, ha, rfl⟩
exact ⟨f a, h1 ha, by rw [comm a]⟩
· rintro _ ⟨b, hb, rfl⟩
obtain ⟨a, ha, rfl⟩ := h3 hb
rw [← image_comp, comm]
exact ⟨a, ha, rfl⟩
lemma BijOn.iterate {f : α → α} {s : Set α} (h : BijOn f s s) : ∀ n, BijOn f^[n] s s
| 0 => s.bijOn_id
| (n + 1) => (h.iterate n).comp h
lemma bijOn_of_subsingleton' [Subsingleton α] [Subsingleton β] (f : α → β)
(h : s.Nonempty ↔ t.Nonempty) : BijOn f s t :=
⟨mapsTo_of_subsingleton' _ h.1, injOn_of_subsingleton _ _, surjOn_of_subsingleton' _ h.2⟩
lemma bijOn_of_subsingleton [Subsingleton α] (f : α → α) (s : Set α) : BijOn f s s :=
bijOn_of_subsingleton' _ Iff.rfl
theorem BijOn.bijective (h : BijOn f s t) : Bijective (h.mapsTo.restrict f s t) :=
⟨fun x y h' => Subtype.ext <| h.injOn x.2 y.2 <| Subtype.ext_iff.1 h', fun ⟨_, hy⟩ =>
let ⟨x, hx, hxy⟩ := h.surjOn hy
⟨⟨x, hx⟩, Subtype.eq hxy⟩⟩
theorem bijective_iff_bijOn_univ : Bijective f ↔ BijOn f univ univ :=
Iff.intro
(fun h =>
let ⟨inj, surj⟩ := h
⟨mapsTo_univ f _, inj.injOn, Iff.mp surjective_iff_surjOn_univ surj⟩)
fun h =>
let ⟨_map, inj, surj⟩ := h
⟨Iff.mpr injective_iff_injOn_univ inj, Iff.mpr surjective_iff_surjOn_univ surj⟩
alias ⟨_root_.Function.Bijective.bijOn_univ, _⟩ := bijective_iff_bijOn_univ
theorem BijOn.compl (hst : BijOn f s t) (hf : Bijective f) : BijOn f sᶜ tᶜ :=
⟨hst.surjOn.mapsTo_compl hf.1, hf.1.injOn, hst.mapsTo.surjOn_compl hf.2⟩
theorem BijOn.subset_right {r : Set β} (hf : BijOn f s t) (hrt : r ⊆ t) :
BijOn f (s ∩ f ⁻¹' r) r := by
refine ⟨inter_subset_right, hf.injOn.mono inter_subset_left, fun x hx ↦ ?_⟩
obtain ⟨y, hy, rfl⟩ := hf.surjOn (hrt hx)
exact ⟨y, ⟨hy, hx⟩, rfl⟩
theorem BijOn.subset_left {r : Set α} (hf : BijOn f s t) (hrs : r ⊆ s) :
BijOn f r (f '' r) :=
(hf.injOn.mono hrs).bijOn_image
theorem BijOn.insert_iff (ha : a ∉ s) (hfa : f a ∉ t) :
BijOn f (insert a s) (insert (f a) t) ↔ BijOn f s t where
mp h := by
have := congrArg (· \ {f a}) (image_insert_eq ▸ h.image_eq)
simp only [mem_singleton_iff, insert_diff_of_mem] at this
rw [diff_singleton_eq_self hfa, diff_singleton_eq_self] at this
· exact ⟨by simp [← this, mapsTo'], h.injOn.mono (subset_insert ..),
by simp [← this, surjOn_image]⟩
simp only [mem_image, not_exists, not_and]
intro x hx
rw [h.injOn.eq_iff (by simp [hx]) (by simp)]
exact ha ∘ (· ▸ hx)
mpr h := by
repeat rw [insert_eq]
refine (bijOn_singleton.mpr rfl).union h ?_
simp only [singleton_union, injOn_insert fun x ↦ (hfa (h.mapsTo x)), h.injOn, mem_image,
not_exists, not_and, true_and]
exact fun _ hx h₂ ↦ hfa (h₂ ▸ h.mapsTo hx)
theorem BijOn.insert (h₁ : BijOn f s t) (h₂ : f a ∉ t) :
BijOn f (insert a s) (insert (f a) t) :=
(insert_iff (h₂ <| h₁.mapsTo ·) h₂).mpr h₁
theorem BijOn.sdiff_singleton (h₁ : BijOn f s t) (h₂ : a ∈ s) :
BijOn f (s \ {a}) (t \ {f a}) := by
convert h₁.subset_left diff_subset
simp [h₁.injOn.image_diff, h₁.image_eq, h₂, inter_eq_self_of_subset_right]
end bijOn
/-! ### left inverse -/
namespace LeftInvOn
theorem eqOn (h : LeftInvOn f' f s) : EqOn (f' ∘ f) id s :=
h
theorem eq (h : LeftInvOn f' f s) {x} (hx : x ∈ s) : f' (f x) = x :=
h hx
theorem congr_left (h₁ : LeftInvOn f₁' f s) {t : Set β} (h₁' : MapsTo f s t)
(heq : EqOn f₁' f₂' t) : LeftInvOn f₂' f s := fun _ hx => heq (h₁' hx) ▸ h₁ hx
theorem congr_right (h₁ : LeftInvOn f₁' f₁ s) (heq : EqOn f₁ f₂ s) : LeftInvOn f₁' f₂ s :=
fun _ hx => heq hx ▸ h₁ hx
theorem injOn (h : LeftInvOn f₁' f s) : InjOn f s := fun x₁ h₁ x₂ h₂ heq =>
calc
x₁ = f₁' (f x₁) := Eq.symm <| h h₁
_ = f₁' (f x₂) := congr_arg f₁' heq
_ = x₂ := h h₂
theorem surjOn (h : LeftInvOn f' f s) (hf : MapsTo f s t) : SurjOn f' t s := fun x hx =>
⟨f x, hf hx, h hx⟩
theorem mapsTo (h : LeftInvOn f' f s) (hf : SurjOn f s t) :
MapsTo f' t s := fun y hy => by
let ⟨x, hs, hx⟩ := hf hy
rwa [← hx, h hs]
lemma _root_.Set.leftInvOn_id (s : Set α) : LeftInvOn id id s := fun _ _ ↦ rfl
theorem comp (hf' : LeftInvOn f' f s) (hg' : LeftInvOn g' g t) (hf : MapsTo f s t) :
LeftInvOn (f' ∘ g') (g ∘ f) s := fun x h =>
calc
(f' ∘ g') ((g ∘ f) x) = f' (f x) := congr_arg f' (hg' (hf h))
_ = x := hf' h
theorem mono (hf : LeftInvOn f' f s) (ht : s₁ ⊆ s) : LeftInvOn f' f s₁ := fun _ hx =>
hf (ht hx)
theorem image_inter' (hf : LeftInvOn f' f s) : f '' (s₁ ∩ s) = f' ⁻¹' s₁ ∩ f '' s := by
apply Subset.antisymm
· rintro _ ⟨x, ⟨h₁, h⟩, rfl⟩
exact ⟨by rwa [mem_preimage, hf h], mem_image_of_mem _ h⟩
· rintro _ ⟨h₁, ⟨x, h, rfl⟩⟩
exact mem_image_of_mem _ ⟨by rwa [← hf h], h⟩
theorem image_inter (hf : LeftInvOn f' f s) :
f '' (s₁ ∩ s) = f' ⁻¹' (s₁ ∩ s) ∩ f '' s := by
rw [hf.image_inter']
refine Subset.antisymm ?_ (inter_subset_inter_left _ (preimage_mono inter_subset_left))
rintro _ ⟨h₁, x, hx, rfl⟩; exact ⟨⟨h₁, by rwa [hf hx]⟩, mem_image_of_mem _ hx⟩
theorem image_image (hf : LeftInvOn f' f s) : f' '' (f '' s) = s := by
rw [Set.image_image, image_congr hf, image_id']
theorem image_image' (hf : LeftInvOn f' f s) (hs : s₁ ⊆ s) : f' '' (f '' s₁) = s₁ :=
(hf.mono hs).image_image
end LeftInvOn
/-! ### Right inverse -/
section RightInvOn
namespace RightInvOn
theorem eqOn (h : RightInvOn f' f t) : EqOn (f ∘ f') id t :=
h
theorem eq (h : RightInvOn f' f t) {y} (hy : y ∈ t) : f (f' y) = y :=
h hy
theorem _root_.Set.LeftInvOn.rightInvOn_image (h : LeftInvOn f' f s) : RightInvOn f' f (f '' s) :=
fun _y ⟨_x, hx, heq⟩ => heq ▸ (congr_arg f <| h.eq hx)
theorem congr_left (h₁ : RightInvOn f₁' f t) (heq : EqOn f₁' f₂' t) :
RightInvOn f₂' f t :=
h₁.congr_right heq
theorem congr_right (h₁ : RightInvOn f' f₁ t) (hg : MapsTo f' t s) (heq : EqOn f₁ f₂ s) :
RightInvOn f' f₂ t :=
LeftInvOn.congr_left h₁ hg heq
theorem surjOn (hf : RightInvOn f' f t) (hf' : MapsTo f' t s) : SurjOn f s t :=
LeftInvOn.surjOn hf hf'
theorem mapsTo (h : RightInvOn f' f t) (hf : SurjOn f' t s) : MapsTo f s t :=
LeftInvOn.mapsTo h hf
lemma _root_.Set.rightInvOn_id (s : Set α) : RightInvOn id id s := fun _ _ ↦ rfl
theorem comp (hf : RightInvOn f' f t) (hg : RightInvOn g' g p) (g'pt : MapsTo g' p t) :
RightInvOn (f' ∘ g') (g ∘ f) p :=
LeftInvOn.comp hg hf g'pt
theorem mono (hf : RightInvOn f' f t) (ht : t₁ ⊆ t) : RightInvOn f' f t₁ :=
LeftInvOn.mono hf ht
end RightInvOn
theorem InjOn.rightInvOn_of_leftInvOn (hf : InjOn f s) (hf' : LeftInvOn f f' t)
(h₁ : MapsTo f s t) (h₂ : MapsTo f' t s) : RightInvOn f f' s := fun _ h =>
hf (h₂ <| h₁ h) h (hf' (h₁ h))
theorem eqOn_of_leftInvOn_of_rightInvOn (h₁ : LeftInvOn f₁' f s) (h₂ : RightInvOn f₂' f t)
(h : MapsTo f₂' t s) : EqOn f₁' f₂' t := fun y hy =>
calc
f₁' y = (f₁' ∘ f ∘ f₂') y := congr_arg f₁' (h₂ hy).symm
_ = f₂' y := h₁ (h hy)
theorem SurjOn.leftInvOn_of_rightInvOn (hf : SurjOn f s t) (hf' : RightInvOn f f' s) :
LeftInvOn f f' t := fun y hy => by
let ⟨x, hx, heq⟩ := hf hy
rw [← heq, hf' hx]
end RightInvOn
/-! ### Two-side inverses -/
namespace InvOn
lemma _root_.Set.invOn_id (s : Set α) : InvOn id id s s := ⟨s.leftInvOn_id, s.rightInvOn_id⟩
lemma comp (hf : InvOn f' f s t) (hg : InvOn g' g t p) (fst : MapsTo f s t)
(g'pt : MapsTo g' p t) :
InvOn (f' ∘ g') (g ∘ f) s p :=
⟨hf.1.comp hg.1 fst, hf.2.comp hg.2 g'pt⟩
@[symm]
theorem symm (h : InvOn f' f s t) : InvOn f f' t s :=
⟨h.right, h.left⟩
theorem mono (h : InvOn f' f s t) (hs : s₁ ⊆ s) (ht : t₁ ⊆ t) : InvOn f' f s₁ t₁ :=
⟨h.1.mono hs, h.2.mono ht⟩
/-- If functions `f'` and `f` are inverse on `s` and `t`, `f` maps `s` into `t`, and `f'` maps `t`
into `s`, then `f` is a bijection between `s` and `t`. The `mapsTo` arguments can be deduced from
`surjOn` statements using `LeftInvOn.mapsTo` and `RightInvOn.mapsTo`. -/
theorem bijOn (h : InvOn f' f s t) (hf : MapsTo f s t) (hf' : MapsTo f' t s) : BijOn f s t :=
⟨hf, h.left.injOn, h.right.surjOn hf'⟩
end InvOn
end Set
/-! ### `invFunOn` is a left/right inverse -/
namespace Function
variable {s : Set α} {f : α → β} {a : α} {b : β}
/-- Construct the inverse for a function `f` on domain `s`. This function is a right inverse of `f`
on `f '' s`. For a computable version, see `Function.Embedding.invOfMemRange`. -/
noncomputable def invFunOn [Nonempty α] (f : α → β) (s : Set α) (b : β) : α :=
open scoped Classical in
if h : ∃ a, a ∈ s ∧ f a = b then Classical.choose h else Classical.choice ‹Nonempty α›
variable [Nonempty α]
theorem invFunOn_pos (h : ∃ a ∈ s, f a = b) : invFunOn f s b ∈ s ∧ f (invFunOn f s b) = b := by
rw [invFunOn, dif_pos h]
exact Classical.choose_spec h
theorem invFunOn_mem (h : ∃ a ∈ s, f a = b) : invFunOn f s b ∈ s :=
(invFunOn_pos h).left
theorem invFunOn_eq (h : ∃ a ∈ s, f a = b) : f (invFunOn f s b) = b :=
(invFunOn_pos h).right
theorem invFunOn_neg (h : ¬∃ a ∈ s, f a = b) : invFunOn f s b = Classical.choice ‹Nonempty α› := by
rw [invFunOn, dif_neg h]
@[simp]
theorem invFunOn_apply_mem (h : a ∈ s) : invFunOn f s (f a) ∈ s :=
invFunOn_mem ⟨a, h, rfl⟩
theorem invFunOn_apply_eq (h : a ∈ s) : f (invFunOn f s (f a)) = f a :=
invFunOn_eq ⟨a, h, rfl⟩
end Function
open Function
namespace Set
variable {s s₁ s₂ : Set α} {t : Set β} {f : α → β}
theorem InjOn.leftInvOn_invFunOn [Nonempty α] (h : InjOn f s) : LeftInvOn (invFunOn f s) f s :=
fun _a ha => h (invFunOn_apply_mem ha) ha (invFunOn_apply_eq ha)
theorem InjOn.invFunOn_image [Nonempty α] (h : InjOn f s₂) (ht : s₁ ⊆ s₂) :
invFunOn f s₂ '' (f '' s₁) = s₁ :=
h.leftInvOn_invFunOn.image_image' ht
theorem _root_.Function.leftInvOn_invFunOn_of_subset_image_image [Nonempty α]
(h : s ⊆ (invFunOn f s) '' (f '' s)) : LeftInvOn (invFunOn f s) f s :=
fun x hx ↦ by
obtain ⟨-, ⟨x, hx', rfl⟩, rfl⟩ := h hx
rw [invFunOn_apply_eq (f := f) hx']
theorem injOn_iff_invFunOn_image_image_eq_self [Nonempty α] :
InjOn f s ↔ (invFunOn f s) '' (f '' s) = s :=
⟨fun h ↦ h.invFunOn_image Subset.rfl, fun h ↦
(Function.leftInvOn_invFunOn_of_subset_image_image h.symm.subset).injOn⟩
theorem _root_.Function.invFunOn_injOn_image [Nonempty α] (f : α → β) (s : Set α) :
Set.InjOn (invFunOn f s) (f '' s) := by
rintro _ ⟨x, hx, rfl⟩ _ ⟨x', hx', rfl⟩ he
rw [← invFunOn_apply_eq (f := f) hx, he, invFunOn_apply_eq (f := f) hx']
theorem _root_.Function.invFunOn_image_image_subset [Nonempty α] (f : α → β) (s : Set α) :
(invFunOn f s) '' (f '' s) ⊆ s := by
rintro _ ⟨_, ⟨x,hx,rfl⟩, rfl⟩; exact invFunOn_apply_mem hx
theorem SurjOn.rightInvOn_invFunOn [Nonempty α] (h : SurjOn f s t) :
RightInvOn (invFunOn f s) f t := fun _y hy => invFunOn_eq <| h hy
theorem BijOn.invOn_invFunOn [Nonempty α] (h : BijOn f s t) : InvOn (invFunOn f s) f s t :=
⟨h.injOn.leftInvOn_invFunOn, h.surjOn.rightInvOn_invFunOn⟩
theorem SurjOn.invOn_invFunOn [Nonempty α] (h : SurjOn f s t) :
InvOn (invFunOn f s) f (invFunOn f s '' t) t := by
refine ⟨?_, h.rightInvOn_invFunOn⟩
rintro _ ⟨y, hy, rfl⟩
rw [h.rightInvOn_invFunOn hy]
theorem SurjOn.mapsTo_invFunOn [Nonempty α] (h : SurjOn f s t) : MapsTo (invFunOn f s) t s :=
fun _y hy => mem_preimage.2 <| invFunOn_mem <| h hy
/-- This lemma is a special case of `rightInvOn_invFunOn.image_image'`; it may make more sense
to use the other lemma directly in an application. -/
theorem SurjOn.image_invFunOn_image_of_subset [Nonempty α] {r : Set β} (hf : SurjOn f s t)
(hrt : r ⊆ t) : f '' (f.invFunOn s '' r) = r :=
hf.rightInvOn_invFunOn.image_image' hrt
/-- This lemma is a special case of `rightInvOn_invFunOn.image_image`; it may make more sense
to use the other lemma directly in an application. -/
theorem SurjOn.image_invFunOn_image [Nonempty α] (hf : SurjOn f s t) :
f '' (f.invFunOn s '' t) = t :=
hf.rightInvOn_invFunOn.image_image
theorem SurjOn.bijOn_subset [Nonempty α] (h : SurjOn f s t) : BijOn f (invFunOn f s '' t) t := by
refine h.invOn_invFunOn.bijOn ?_ (mapsTo_image _ _)
rintro _ ⟨y, hy, rfl⟩
rwa [h.rightInvOn_invFunOn hy]
theorem surjOn_iff_exists_bijOn_subset : SurjOn f s t ↔ ∃ s' ⊆ s, BijOn f s' t := by
constructor
· rcases eq_empty_or_nonempty t with (rfl | ht)
· exact fun _ => ⟨∅, empty_subset _, bijOn_empty f⟩
· intro h
haveI : Nonempty α := ⟨Classical.choose (h.comap_nonempty ht)⟩
exact ⟨_, h.mapsTo_invFunOn.image_subset, h.bijOn_subset⟩
· rintro ⟨s', hs', hfs'⟩
exact hfs'.surjOn.mono hs' (Subset.refl _)
alias ⟨SurjOn.exists_bijOn_subset, _⟩ := Set.surjOn_iff_exists_bijOn_subset
variable (f s)
lemma exists_subset_bijOn : ∃ s' ⊆ s, BijOn f s' (f '' s) :=
surjOn_iff_exists_bijOn_subset.mp (surjOn_image f s)
lemma exists_image_eq_and_injOn : ∃ u, f '' u = f '' s ∧ InjOn f u :=
let ⟨u, _, hfu⟩ := exists_subset_bijOn s f
⟨u, hfu.image_eq, hfu.injOn⟩
variable {f s}
lemma exists_image_eq_injOn_of_subset_range (ht : t ⊆ range f) :
∃ s, f '' s = t ∧ InjOn f s :=
image_preimage_eq_of_subset ht ▸ exists_image_eq_and_injOn _ _
/-- If `f` maps `s` bijectively to `t` and a set `t'` is contained in the image of some `s₁ ⊇ s`,
then `s₁` has a subset containing `s` that `f` maps bijectively to `t'`. -/
theorem BijOn.exists_extend_of_subset {t' : Set β} (h : BijOn f s t) (hss₁ : s ⊆ s₁) (htt' : t ⊆ t')
(ht' : SurjOn f s₁ t') : ∃ s', s ⊆ s' ∧ s' ⊆ s₁ ∧ Set.BijOn f s' t' := by
obtain ⟨r, hrss, hbij⟩ := exists_subset_bijOn ((s₁ ∩ f ⁻¹' t') \ f ⁻¹' t) f
rw [image_diff_preimage, image_inter_preimage] at hbij
refine ⟨s ∪ r, subset_union_left, ?_, ?_, ?_, fun y hyt' ↦ ?_⟩
· exact union_subset hss₁ <| hrss.trans <| diff_subset.trans inter_subset_left
· rw [mapsTo', image_union, hbij.image_eq, h.image_eq, union_subset_iff]
exact ⟨htt', diff_subset.trans inter_subset_right⟩
· rw [injOn_union, and_iff_right h.injOn, and_iff_right hbij.injOn]
· refine fun x hxs y hyr hxy ↦ (hrss hyr).2 ?_
rw [← h.image_eq]
exact ⟨x, hxs, hxy⟩
exact (subset_diff.1 hrss).2.symm.mono_left h.mapsTo
rw [image_union, h.image_eq, hbij.image_eq, union_diff_self]
exact .inr ⟨ht' hyt', hyt'⟩
/-- If `f` maps `s` bijectively to `t`, and `t'` is a superset of `t` contained in the range of `f`,
then `f` maps some superset of `s` bijectively to `t'`. -/
theorem BijOn.exists_extend {t' : Set β} (h : BijOn f s t) (htt' : t ⊆ t') (ht' : t' ⊆ range f) :
∃ s', s ⊆ s' ∧ BijOn f s' t' := by
simpa using h.exists_extend_of_subset (subset_univ s) htt' (by simpa [SurjOn])
theorem InjOn.exists_subset_injOn_subset_range_eq {r : Set α} (hinj : InjOn f r) (hrs : r ⊆ s) :
∃ u : Set α, r ⊆ u ∧ u ⊆ s ∧ f '' u = f '' s ∧ InjOn f u := by
obtain ⟨u, hru, hus, h⟩ := hinj.bijOn_image.exists_extend_of_subset hrs
(image_subset f hrs) Subset.rfl
exact ⟨u, hru, hus, h.image_eq, h.injOn⟩
theorem preimage_invFun_of_mem [n : Nonempty α] {f : α → β} (hf : Injective f) {s : Set α}
(h : Classical.choice n ∈ s) : invFun f ⁻¹' s = f '' s ∪ (range f)ᶜ := by
ext x
rcases em (x ∈ range f) with (⟨a, rfl⟩ | hx)
· simp only [mem_preimage, mem_union, mem_compl_iff, mem_range_self, not_true, or_false,
leftInverse_invFun hf _, hf.mem_set_image]
· simp only [mem_preimage, invFun_neg hx, h, hx, mem_union, mem_compl_iff, not_false_iff, or_true]
theorem preimage_invFun_of_not_mem [n : Nonempty α] {f : α → β} (hf : Injective f) {s : Set α}
(h : Classical.choice n ∉ s) : invFun f ⁻¹' s = f '' s := by
ext x
rcases em (x ∈ range f) with (⟨a, rfl⟩ | hx)
· rw [mem_preimage, leftInverse_invFun hf, hf.mem_set_image]
· have : x ∉ f '' s := fun h' => hx (image_subset_range _ _ h')
simp only [mem_preimage, invFun_neg hx, h, this]
lemma BijOn.symm {g : β → α} (h : InvOn f g t s) (hf : BijOn f s t) : BijOn g t s :=
⟨h.2.mapsTo hf.surjOn, h.1.injOn, h.2.surjOn hf.mapsTo⟩
lemma bijOn_comm {g : β → α} (h : InvOn f g t s) : BijOn f s t ↔ BijOn g t s :=
⟨BijOn.symm h, BijOn.symm h.symm⟩
end Set
namespace Function
open Set
variable {fa : α → α} {fb : β → β} {f : α → β} {g : β → γ} {s t : Set α}
theorem Injective.comp_injOn (hg : Injective g) (hf : s.InjOn f) : s.InjOn (g ∘ f) :=
hg.injOn.comp hf (mapsTo_univ _ _)
theorem Surjective.surjOn (hf : Surjective f) (s : Set β) : SurjOn f univ s :=
(surjective_iff_surjOn_univ.1 hf).mono (Subset.refl _) (subset_univ _)
theorem LeftInverse.leftInvOn {g : β → α} (h : LeftInverse f g) (s : Set β) : LeftInvOn f g s :=
fun x _ => h x
theorem RightInverse.rightInvOn {g : β → α} (h : RightInverse f g) (s : Set α) :
RightInvOn f g s := fun x _ => h x
theorem LeftInverse.rightInvOn_range {g : β → α} (h : LeftInverse f g) :
RightInvOn f g (range g) :=
forall_mem_range.2 fun i => congr_arg g (h i)
namespace Semiconj
theorem mapsTo_image (h : Semiconj f fa fb) (ha : MapsTo fa s t) : MapsTo fb (f '' s) (f '' t) :=
fun _y ⟨x, hx, hy⟩ => hy ▸ ⟨fa x, ha hx, h x⟩
theorem mapsTo_image_right {t : Set β} (h : Semiconj f fa fb) (hst : MapsTo f s t) :
MapsTo f (fa '' s) (fb '' t) :=
mapsTo_image_iff.2 fun x hx ↦ ⟨f x, hst hx, (h x).symm⟩
theorem mapsTo_range (h : Semiconj f fa fb) : MapsTo fb (range f) (range f) := fun _y ⟨x, hy⟩ =>
hy ▸ ⟨fa x, h x⟩
theorem surjOn_image (h : Semiconj f fa fb) (ha : SurjOn fa s t) : SurjOn fb (f '' s) (f '' t) := by
rintro y ⟨x, hxt, rfl⟩
rcases ha hxt with ⟨x, hxs, rfl⟩
rw [h x]
exact mem_image_of_mem _ (mem_image_of_mem _ hxs)
theorem surjOn_range (h : Semiconj f fa fb) (ha : Surjective fa) :
SurjOn fb (range f) (range f) := by
rw [← image_univ]
exact h.surjOn_image (ha.surjOn univ)
theorem injOn_image (h : Semiconj f fa fb) (ha : InjOn fa s) (hf : InjOn f (fa '' s)) :
InjOn fb (f '' s) := by
rintro _ ⟨x, hx, rfl⟩ _ ⟨y, hy, rfl⟩ H
simp only [← h.eq] at H
exact congr_arg f (ha hx hy <| hf (mem_image_of_mem fa hx) (mem_image_of_mem fa hy) H)
theorem injOn_range (h : Semiconj f fa fb) (ha : Injective fa) (hf : InjOn f (range fa)) :
InjOn fb (range f) := by
rw [← image_univ] at *
exact h.injOn_image ha.injOn hf
theorem bijOn_image (h : Semiconj f fa fb) (ha : BijOn fa s t) (hf : InjOn f t) :
BijOn fb (f '' s) (f '' t) :=
⟨h.mapsTo_image ha.mapsTo, h.injOn_image ha.injOn (ha.image_eq.symm ▸ hf),
h.surjOn_image ha.surjOn⟩
theorem bijOn_range (h : Semiconj f fa fb) (ha : Bijective fa) (hf : Injective f) :
BijOn fb (range f) (range f) := by
rw [← image_univ]
exact h.bijOn_image (bijective_iff_bijOn_univ.1 ha) hf.injOn
theorem mapsTo_preimage (h : Semiconj f fa fb) {s t : Set β} (hb : MapsTo fb s t) :
MapsTo fa (f ⁻¹' s) (f ⁻¹' t) := fun x hx => by simp only [mem_preimage, h x, hb hx]
theorem injOn_preimage (h : Semiconj f fa fb) {s : Set β} (hb : InjOn fb s)
(hf : InjOn f (f ⁻¹' s)) : InjOn fa (f ⁻¹' s) := by
intro x hx y hy H
have := congr_arg f H
rw [h.eq, h.eq] at this
exact hf hx hy (hb hx hy this)
end Semiconj
theorem update_comp_eq_of_not_mem_range' {α : Sort*} {β : Type*} {γ : β → Sort*} [DecidableEq β]
(g : ∀ b, γ b) {f : α → β} {i : β} (a : γ i) (h : i ∉ Set.range f) :
(fun j => update g i a (f j)) = fun j => g (f j) :=
(update_comp_eq_of_forall_ne' _ _) fun x hx => h ⟨x, hx⟩
/-- Non-dependent version of `Function.update_comp_eq_of_not_mem_range'` -/
theorem update_comp_eq_of_not_mem_range {α : Sort*} {β : Type*} {γ : Sort*} [DecidableEq β]
(g : β → γ) {f : α → β} {i : β} (a : γ) (h : i ∉ Set.range f) : update g i a ∘ f = g ∘ f :=
update_comp_eq_of_not_mem_range' g a h
theorem insert_injOn (s : Set α) : sᶜ.InjOn fun a => insert a s := fun _a ha _ _ =>
(insert_inj ha).1
lemma apply_eq_of_range_eq_singleton {f : α → β} {b : β} (h : range f = {b}) (a : α) :
f a = b := by
simpa only [h, mem_singleton_iff] using mem_range_self (f := f) a
end Function
/-! ### Equivalences, permutations -/
namespace Set
variable {p : β → Prop} [DecidablePred p] {f : α ≃ Subtype p} {g g₁ g₂ : Perm α} {s t : Set α}
protected lemma MapsTo.extendDomain (h : MapsTo g s t) :
MapsTo (g.extendDomain f) ((↑) ∘ f '' s) ((↑) ∘ f '' t) := by
rintro _ ⟨a, ha, rfl⟩; exact ⟨_, h ha, by simp_rw [Function.comp_apply, extendDomain_apply_image]⟩
protected lemma SurjOn.extendDomain (h : SurjOn g s t) :
SurjOn (g.extendDomain f) ((↑) ∘ f '' s) ((↑) ∘ f '' t) := by
rintro _ ⟨a, ha, rfl⟩
obtain ⟨b, hb, rfl⟩ := h ha
exact ⟨_, ⟨_, hb, rfl⟩, by simp_rw [Function.comp_apply, extendDomain_apply_image]⟩
protected lemma BijOn.extendDomain (h : BijOn g s t) :
BijOn (g.extendDomain f) ((↑) ∘ f '' s) ((↑) ∘ f '' t) :=
⟨h.mapsTo.extendDomain, (g.extendDomain f).injective.injOn, h.surjOn.extendDomain⟩
protected lemma LeftInvOn.extendDomain (h : LeftInvOn g₁ g₂ s) :
LeftInvOn (g₁.extendDomain f) (g₂.extendDomain f) ((↑) ∘ f '' s) := by
rintro _ ⟨a, ha, rfl⟩; simp_rw [Function.comp_apply, extendDomain_apply_image, h ha]
protected lemma RightInvOn.extendDomain (h : RightInvOn g₁ g₂ t) :
RightInvOn (g₁.extendDomain f) (g₂.extendDomain f) ((↑) ∘ f '' t) := by
rintro _ ⟨a, ha, rfl⟩; simp_rw [Function.comp_apply, extendDomain_apply_image, h ha]
protected lemma InvOn.extendDomain (h : InvOn g₁ g₂ s t) :
InvOn (g₁.extendDomain f) (g₂.extendDomain f) ((↑) ∘ f '' s) ((↑) ∘ f '' t) :=
⟨h.1.extendDomain, h.2.extendDomain⟩
end Set
namespace Set
variable {α₁ α₂ β₁ β₂ : Type*} {s₁ : Set α₁} {s₂ : Set α₂} {t₁ : Set β₁} {t₂ : Set β₂}
{f₁ : α₁ → β₁} {f₂ : α₂ → β₂} {g₁ : β₁ → α₁} {g₂ : β₂ → α₂}
lemma InjOn.prodMap (h₁ : s₁.InjOn f₁) (h₂ : s₂.InjOn f₂) :
(s₁ ×ˢ s₂).InjOn fun x ↦ (f₁ x.1, f₂ x.2) :=
fun x hx y hy ↦ by simp_rw [Prod.ext_iff]; exact And.imp (h₁ hx.1 hy.1) (h₂ hx.2 hy.2)
lemma SurjOn.prodMap (h₁ : SurjOn f₁ s₁ t₁) (h₂ : SurjOn f₂ s₂ t₂) :
SurjOn (fun x ↦ (f₁ x.1, f₂ x.2)) (s₁ ×ˢ s₂) (t₁ ×ˢ t₂) := by
rintro x hx
obtain ⟨a₁, ha₁, hx₁⟩ := h₁ hx.1
obtain ⟨a₂, ha₂, hx₂⟩ := h₂ hx.2
exact ⟨(a₁, a₂), ⟨ha₁, ha₂⟩, Prod.ext hx₁ hx₂⟩
lemma MapsTo.prodMap (h₁ : MapsTo f₁ s₁ t₁) (h₂ : MapsTo f₂ s₂ t₂) :
MapsTo (fun x ↦ (f₁ x.1, f₂ x.2)) (s₁ ×ˢ s₂) (t₁ ×ˢ t₂) :=
fun _x hx ↦ ⟨h₁ hx.1, h₂ hx.2⟩
lemma BijOn.prodMap (h₁ : BijOn f₁ s₁ t₁) (h₂ : BijOn f₂ s₂ t₂) :
BijOn (fun x ↦ (f₁ x.1, f₂ x.2)) (s₁ ×ˢ s₂) (t₁ ×ˢ t₂) :=
⟨h₁.mapsTo.prodMap h₂.mapsTo, h₁.injOn.prodMap h₂.injOn, h₁.surjOn.prodMap h₂.surjOn⟩
lemma LeftInvOn.prodMap (h₁ : LeftInvOn g₁ f₁ s₁) (h₂ : LeftInvOn g₂ f₂ s₂) :
LeftInvOn (fun x ↦ (g₁ x.1, g₂ x.2)) (fun x ↦ (f₁ x.1, f₂ x.2)) (s₁ ×ˢ s₂) :=
fun _x hx ↦ Prod.ext (h₁ hx.1) (h₂ hx.2)
lemma RightInvOn.prodMap (h₁ : RightInvOn g₁ f₁ t₁) (h₂ : RightInvOn g₂ f₂ t₂) :
RightInvOn (fun x ↦ (g₁ x.1, g₂ x.2)) (fun x ↦ (f₁ x.1, f₂ x.2)) (t₁ ×ˢ t₂) :=
fun _x hx ↦ Prod.ext (h₁ hx.1) (h₂ hx.2)
lemma InvOn.prodMap (h₁ : InvOn g₁ f₁ s₁ t₁) (h₂ : InvOn g₂ f₂ s₂ t₂) :
InvOn (fun x ↦ (g₁ x.1, g₂ x.2)) (fun x ↦ (f₁ x.1, f₂ x.2)) (s₁ ×ˢ s₂) (t₁ ×ˢ t₂) :=
⟨h₁.1.prodMap h₂.1, h₁.2.prodMap h₂.2⟩
end Set
namespace Equiv
open Set
variable (e : α ≃ β) {s : Set α} {t : Set β}
lemma bijOn' (h₁ : MapsTo e s t) (h₂ : MapsTo e.symm t s) : BijOn e s t :=
⟨h₁, e.injective.injOn, fun b hb ↦ ⟨e.symm b, h₂ hb, apply_symm_apply _ _⟩⟩
protected lemma bijOn (h : ∀ a, e a ∈ t ↔ a ∈ s) : BijOn e s t :=
e.bijOn' (fun _ ↦ (h _).2) fun b hb ↦ (h _).1 <| by rwa [apply_symm_apply]
lemma invOn : InvOn e e.symm t s :=
⟨e.rightInverse_symm.leftInvOn _, e.leftInverse_symm.leftInvOn _⟩
lemma bijOn_image : BijOn e s (e '' s) := e.injective.injOn.bijOn_image
lemma bijOn_symm_image : BijOn e.symm (e '' s) s := e.bijOn_image.symm e.invOn
variable {e}
@[simp] lemma bijOn_symm : BijOn e.symm t s ↔ BijOn e s t := bijOn_comm e.symm.invOn
alias ⟨_root_.Set.BijOn.of_equiv_symm, _root_.Set.BijOn.equiv_symm⟩ := bijOn_symm
variable [DecidableEq α] {a b : α}
lemma bijOn_swap (ha : a ∈ s) (hb : b ∈ s) : BijOn (swap a b) s s :=
(swap a b).bijOn fun x ↦ by
obtain rfl | hxa := eq_or_ne x a <;>
obtain rfl | hxb := eq_or_ne x b <;>
simp [*, swap_apply_of_ne_of_ne]
end Equiv
| Mathlib/Data/Set/Function.lean | 1,403 | 1,406 | |
/-
Copyright (c) 2019 Zhouhang Zhou. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Zhouhang Zhou, Frédéric Dupuis, Heather Macbeth
-/
import Mathlib.Analysis.Convex.Basic
import Mathlib.Analysis.InnerProductSpace.Orthogonal
import Mathlib.Analysis.InnerProductSpace.Symmetric
import Mathlib.Analysis.NormedSpace.RCLike
import Mathlib.Analysis.RCLike.Lemmas
import Mathlib.Algebra.DirectSum.Decomposition
/-!
# The orthogonal projection
Given a nonempty complete subspace `K` of an inner product space `E`, this file constructs
`K.orthogonalProjection : E →L[𝕜] K`, the orthogonal projection of `E` onto `K`. This map
satisfies: for any point `u` in `E`, the point `v = K.orthogonalProjection u` in `K` minimizes the
distance `‖u - v‖` to `u`.
Also a linear isometry equivalence `K.reflection : E ≃ₗᵢ[𝕜] E` is constructed, by choosing, for
each `u : E`, the point `K.reflection u` to satisfy
`u + (K.reflection u) = 2 • K.orthogonalProjection u`.
Basic API for `orthogonalProjection` and `reflection` is developed.
Next, the orthogonal projection is used to prove a series of more subtle lemmas about the
orthogonal complement of complete subspaces of `E` (the orthogonal complement itself was
defined in `Analysis.InnerProductSpace.Orthogonal`); the lemma
`Submodule.sup_orthogonal_of_completeSpace`, stating that for a complete subspace `K` of `E` we have
`K ⊔ Kᗮ = ⊤`, is a typical example.
## References
The orthogonal projection construction is adapted from
* [Clément & Martin, *The Lax-Milgram Theorem. A detailed proof to be formalized in Coq*]
* [Clément & Martin, *A Coq formal proof of the Lax–Milgram theorem*]
The Coq code is available at the following address: <http://www.lri.fr/~sboldo/elfic/index.html>
-/
noncomputable section
open InnerProductSpace
open RCLike Real Filter
open LinearMap (ker range)
open Topology Finsupp
variable {𝕜 E F : Type*} [RCLike 𝕜]
variable [NormedAddCommGroup E] [NormedAddCommGroup F]
variable [InnerProductSpace 𝕜 E] [InnerProductSpace ℝ F]
local notation "⟪" x ", " y "⟫" => @inner 𝕜 _ _ x y
local notation "absR" => abs
/-! ### Orthogonal projection in inner product spaces -/
-- FIXME this monolithic proof causes a deterministic timeout with `-T50000`
-- It should be broken in a sequence of more manageable pieces,
-- perhaps with individual statements for the three steps below.
/-- **Existence of minimizers**, aka the **Hilbert projection theorem**.
Let `u` be a point in a real inner product space, and let `K` be a nonempty complete convex subset.
Then there exists a (unique) `v` in `K` that minimizes the distance `‖u - v‖` to `u`. -/
theorem exists_norm_eq_iInf_of_complete_convex {K : Set F} (ne : K.Nonempty) (h₁ : IsComplete K)
(h₂ : Convex ℝ K) : ∀ u : F, ∃ v ∈ K, ‖u - v‖ = ⨅ w : K, ‖u - w‖ := fun u => by
let δ := ⨅ w : K, ‖u - w‖
letI : Nonempty K := ne.to_subtype
have zero_le_δ : 0 ≤ δ := le_ciInf fun _ => norm_nonneg _
have δ_le : ∀ w : K, δ ≤ ‖u - w‖ := ciInf_le ⟨0, Set.forall_mem_range.2 fun _ => norm_nonneg _⟩
have δ_le' : ∀ w ∈ K, δ ≤ ‖u - w‖ := fun w hw => δ_le ⟨w, hw⟩
-- Step 1: since `δ` is the infimum, can find a sequence `w : ℕ → K` in `K`
-- such that `‖u - w n‖ < δ + 1 / (n + 1)` (which implies `‖u - w n‖ --> δ`);
-- maybe this should be a separate lemma
have exists_seq : ∃ w : ℕ → K, ∀ n, ‖u - w n‖ < δ + 1 / (n + 1) := by
have hδ : ∀ n : ℕ, δ < δ + 1 / (n + 1) := fun n =>
lt_add_of_le_of_pos le_rfl Nat.one_div_pos_of_nat
have h := fun n => exists_lt_of_ciInf_lt (hδ n)
let w : ℕ → K := fun n => Classical.choose (h n)
exact ⟨w, fun n => Classical.choose_spec (h n)⟩
rcases exists_seq with ⟨w, hw⟩
have norm_tendsto : Tendsto (fun n => ‖u - w n‖) atTop (𝓝 δ) := by
have h : Tendsto (fun _ : ℕ => δ) atTop (𝓝 δ) := tendsto_const_nhds
have h' : Tendsto (fun n : ℕ => δ + 1 / (n + 1)) atTop (𝓝 δ) := by
convert h.add tendsto_one_div_add_atTop_nhds_zero_nat
simp only [add_zero]
exact tendsto_of_tendsto_of_tendsto_of_le_of_le h h' (fun x => δ_le _) fun x => le_of_lt (hw _)
-- Step 2: Prove that the sequence `w : ℕ → K` is a Cauchy sequence
have seq_is_cauchy : CauchySeq fun n => (w n : F) := by
rw [cauchySeq_iff_le_tendsto_0]
-- splits into three goals
let b := fun n : ℕ => 8 * δ * (1 / (n + 1)) + 4 * (1 / (n + 1)) * (1 / (n + 1))
use fun n => √(b n)
constructor
-- first goal : `∀ (n : ℕ), 0 ≤ √(b n)`
· intro n
exact sqrt_nonneg _
constructor
-- second goal : `∀ (n m N : ℕ), N ≤ n → N ≤ m → dist ↑(w n) ↑(w m) ≤ √(b N)`
· intro p q N hp hq
let wp := (w p : F)
let wq := (w q : F)
let a := u - wq
let b := u - wp
let half := 1 / (2 : ℝ)
let div := 1 / ((N : ℝ) + 1)
have :
4 * ‖u - half • (wq + wp)‖ * ‖u - half • (wq + wp)‖ + ‖wp - wq‖ * ‖wp - wq‖ =
2 * (‖a‖ * ‖a‖ + ‖b‖ * ‖b‖) :=
calc
4 * ‖u - half • (wq + wp)‖ * ‖u - half • (wq + wp)‖ + ‖wp - wq‖ * ‖wp - wq‖ =
2 * ‖u - half • (wq + wp)‖ * (2 * ‖u - half • (wq + wp)‖) + ‖wp - wq‖ * ‖wp - wq‖ :=
by ring
_ =
absR (2 : ℝ) * ‖u - half • (wq + wp)‖ * (absR (2 : ℝ) * ‖u - half • (wq + wp)‖) +
‖wp - wq‖ * ‖wp - wq‖ := by
rw [abs_of_nonneg]
exact zero_le_two
_ =
‖(2 : ℝ) • (u - half • (wq + wp))‖ * ‖(2 : ℝ) • (u - half • (wq + wp))‖ +
‖wp - wq‖ * ‖wp - wq‖ := by simp [norm_smul]
_ = ‖a + b‖ * ‖a + b‖ + ‖a - b‖ * ‖a - b‖ := by
rw [smul_sub, smul_smul, mul_one_div_cancel (_root_.two_ne_zero : (2 : ℝ) ≠ 0), ←
one_add_one_eq_two, add_smul]
simp only [one_smul]
have eq₁ : wp - wq = a - b := (sub_sub_sub_cancel_left _ _ _).symm
have eq₂ : u + u - (wq + wp) = a + b := by
show u + u - (wq + wp) = u - wq + (u - wp)
abel
rw [eq₁, eq₂]
_ = 2 * (‖a‖ * ‖a‖ + ‖b‖ * ‖b‖) := parallelogram_law_with_norm ℝ _ _
have eq : δ ≤ ‖u - half • (wq + wp)‖ := by
rw [smul_add]
apply δ_le'
apply h₂
repeat' exact Subtype.mem _
repeat' exact le_of_lt one_half_pos
exact add_halves 1
have eq₁ : 4 * δ * δ ≤ 4 * ‖u - half • (wq + wp)‖ * ‖u - half • (wq + wp)‖ := by
simp_rw [mul_assoc]
gcongr
have eq₂ : ‖a‖ ≤ δ + div :=
le_trans (le_of_lt <| hw q) (add_le_add_left (Nat.one_div_le_one_div hq) _)
have eq₂' : ‖b‖ ≤ δ + div :=
le_trans (le_of_lt <| hw p) (add_le_add_left (Nat.one_div_le_one_div hp) _)
rw [dist_eq_norm]
apply nonneg_le_nonneg_of_sq_le_sq
· exact sqrt_nonneg _
rw [mul_self_sqrt]
· calc
‖wp - wq‖ * ‖wp - wq‖ =
2 * (‖a‖ * ‖a‖ + ‖b‖ * ‖b‖) - 4 * ‖u - half • (wq + wp)‖ * ‖u - half • (wq + wp)‖ := by
simp [← this]
_ ≤ 2 * (‖a‖ * ‖a‖ + ‖b‖ * ‖b‖) - 4 * δ * δ := by gcongr
_ ≤ 2 * ((δ + div) * (δ + div) + (δ + div) * (δ + div)) - 4 * δ * δ := by gcongr
_ = 8 * δ * div + 4 * div * div := by ring
positivity
-- third goal : `Tendsto (fun (n : ℕ) => √(b n)) atTop (𝓝 0)`
suffices Tendsto (fun x ↦ √(8 * δ * x + 4 * x * x) : ℝ → ℝ) (𝓝 0) (𝓝 0)
from this.comp tendsto_one_div_add_atTop_nhds_zero_nat
exact Continuous.tendsto' (by fun_prop) _ _ (by simp)
-- Step 3: By completeness of `K`, let `w : ℕ → K` converge to some `v : K`.
-- Prove that it satisfies all requirements.
rcases cauchySeq_tendsto_of_isComplete h₁ (fun n => Subtype.mem _) seq_is_cauchy with
⟨v, hv, w_tendsto⟩
use v
use hv
have h_cont : Continuous fun v => ‖u - v‖ :=
Continuous.comp continuous_norm (Continuous.sub continuous_const continuous_id)
have : Tendsto (fun n => ‖u - w n‖) atTop (𝓝 ‖u - v‖) := by
convert Tendsto.comp h_cont.continuousAt w_tendsto
exact tendsto_nhds_unique this norm_tendsto
/-- Characterization of minimizers for the projection on a convex set in a real inner product
space. -/
theorem norm_eq_iInf_iff_real_inner_le_zero {K : Set F} (h : Convex ℝ K) {u : F} {v : F}
| (hv : v ∈ K) : (‖u - v‖ = ⨅ w : K, ‖u - w‖) ↔ ∀ w ∈ K, ⟪u - v, w - v⟫_ℝ ≤ 0 := by
letI : Nonempty K := ⟨⟨v, hv⟩⟩
constructor
· intro eq w hw
let δ := ⨅ w : K, ‖u - w‖
let p := ⟪u - v, w - v⟫_ℝ
let q := ‖w - v‖ ^ 2
have δ_le (w : K) : δ ≤ ‖u - w‖ := ciInf_le ⟨0, fun _ ⟨_, h⟩ => h ▸ norm_nonneg _⟩ _
have δ_le' (w) (hw : w ∈ K) : δ ≤ ‖u - w‖ := δ_le ⟨w, hw⟩
have (θ : ℝ) (hθ₁ : 0 < θ) (hθ₂ : θ ≤ 1) : 2 * p ≤ θ * q := by
have : ‖u - v‖ ^ 2 ≤ ‖u - v‖ ^ 2 - 2 * θ * ⟪u - v, w - v⟫_ℝ + θ * θ * ‖w - v‖ ^ 2 :=
calc ‖u - v‖ ^ 2
_ ≤ ‖u - (θ • w + (1 - θ) • v)‖ ^ 2 := by
simp only [sq]; apply mul_self_le_mul_self (norm_nonneg _)
rw [eq]; apply δ_le'
apply h hw hv
exacts [le_of_lt hθ₁, sub_nonneg.2 hθ₂, add_sub_cancel _ _]
_ = ‖u - v - θ • (w - v)‖ ^ 2 := by
have : u - (θ • w + (1 - θ) • v) = u - v - θ • (w - v) := by
rw [smul_sub, sub_smul, one_smul]
simp only [sub_eq_add_neg, add_comm, add_left_comm, add_assoc, neg_add_rev]
rw [this]
_ = ‖u - v‖ ^ 2 - 2 * θ * inner (u - v) (w - v) + θ * θ * ‖w - v‖ ^ 2 := by
rw [@norm_sub_sq ℝ, inner_smul_right, norm_smul]
simp only [sq]
show
‖u - v‖ * ‖u - v‖ - 2 * (θ * inner (u - v) (w - v)) +
absR θ * ‖w - v‖ * (absR θ * ‖w - v‖) =
‖u - v‖ * ‖u - v‖ - 2 * θ * inner (u - v) (w - v) + θ * θ * (‖w - v‖ * ‖w - v‖)
rw [abs_of_pos hθ₁]; ring
have eq₁ :
‖u - v‖ ^ 2 - 2 * θ * inner (u - v) (w - v) + θ * θ * ‖w - v‖ ^ 2 =
‖u - v‖ ^ 2 + (θ * θ * ‖w - v‖ ^ 2 - 2 * θ * inner (u - v) (w - v)) := by
abel
rw [eq₁, le_add_iff_nonneg_right] at this
have eq₂ :
θ * θ * ‖w - v‖ ^ 2 - 2 * θ * inner (u - v) (w - v) =
θ * (θ * ‖w - v‖ ^ 2 - 2 * inner (u - v) (w - v)) := by ring
rw [eq₂] at this
exact le_of_sub_nonneg (nonneg_of_mul_nonneg_right this hθ₁)
by_cases hq : q = 0
· rw [hq] at this
have : p ≤ 0 := by
have := this (1 : ℝ) (by norm_num) (by norm_num)
linarith
exact this
· have q_pos : 0 < q := lt_of_le_of_ne (sq_nonneg _) fun h ↦ hq h.symm
by_contra hp
rw [not_le] at hp
let θ := min (1 : ℝ) (p / q)
have eq₁ : θ * q ≤ p :=
calc
θ * q ≤ p / q * q := mul_le_mul_of_nonneg_right (min_le_right _ _) (sq_nonneg _)
_ = p := div_mul_cancel₀ _ hq
have : 2 * p ≤ p :=
calc
2 * p ≤ θ * q := by
exact this θ (lt_min (by norm_num) (div_pos hp q_pos)) (by norm_num [θ])
_ ≤ p := eq₁
linarith
· intro h
apply le_antisymm
· apply le_ciInf
intro w
apply nonneg_le_nonneg_of_sq_le_sq (norm_nonneg _)
have := h w w.2
calc
‖u - v‖ * ‖u - v‖ ≤ ‖u - v‖ * ‖u - v‖ - 2 * inner (u - v) ((w : F) - v) := by linarith
_ ≤ ‖u - v‖ ^ 2 - 2 * inner (u - v) ((w : F) - v) + ‖(w : F) - v‖ ^ 2 := by
rw [sq]
refine le_add_of_nonneg_right ?_
exact sq_nonneg _
_ = ‖u - v - (w - v)‖ ^ 2 := (@norm_sub_sq ℝ _ _ _ _ _ _).symm
_ = ‖u - w‖ * ‖u - w‖ := by
have : u - v - (w - v) = u - w := by abel
rw [this, sq]
· show ⨅ w : K, ‖u - w‖ ≤ (fun w : K => ‖u - w‖) ⟨v, hv⟩
apply ciInf_le
use 0
rintro y ⟨z, rfl⟩
exact norm_nonneg _
variable (K : Submodule 𝕜 E)
| Mathlib/Analysis/InnerProductSpace/Projection.lean | 182 | 264 |
/-
Copyright (c) 2021 Rémy Degenne. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Zhouhang Zhou, Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.MeasureTheory.Integral.FinMeasAdditive
/-!
# Extension of a linear function from indicators to L1
Given `T : Set α → E →L[ℝ] F` with `DominatedFinMeasAdditive μ T C`, we construct an extension
of `T` to integrable simple functions, which are finite sums of indicators of measurable sets
with finite measure, then to integrable functions, which are limits of integrable simple functions.
The main result is a continuous linear map `(α →₁[μ] E) →L[ℝ] F`.
This extension process is used to define the Bochner integral
in the `Mathlib.MeasureTheory.Integral.Bochner.Basic` file
and the conditional expectation of an integrable function
in `Mathlib.MeasureTheory.Function.ConditionalExpectation.CondexpL1`.
## Main definitions
- `setToL1 (hT : DominatedFinMeasAdditive μ T C) : (α →₁[μ] E) →L[ℝ] F`: the extension of `T`
from indicators to L1.
- `setToFun μ T (hT : DominatedFinMeasAdditive μ T C) (f : α → E) : F`: a version of the
extension which applies to functions (with value 0 if the function is not integrable).
## Properties
For most properties of `setToFun`, we provide two lemmas. One version uses hypotheses valid on
all sets, like `T = T'`, and a second version which uses a primed name uses hypotheses on
measurable sets with finite measure, like `∀ s, MeasurableSet s → μ s < ∞ → T s = T' s`.
The lemmas listed here don't show all hypotheses. Refer to the actual lemmas for details.
Linearity:
- `setToFun_zero_left : setToFun μ 0 hT f = 0`
- `setToFun_add_left : setToFun μ (T + T') _ f = setToFun μ T hT f + setToFun μ T' hT' f`
- `setToFun_smul_left : setToFun μ (fun s ↦ c • (T s)) (hT.smul c) f = c • setToFun μ T hT f`
- `setToFun_zero : setToFun μ T hT (0 : α → E) = 0`
- `setToFun_neg : setToFun μ T hT (-f) = - setToFun μ T hT f`
If `f` and `g` are integrable:
- `setToFun_add : setToFun μ T hT (f + g) = setToFun μ T hT f + setToFun μ T hT g`
- `setToFun_sub : setToFun μ T hT (f - g) = setToFun μ T hT f - setToFun μ T hT g`
If `T` is verifies `∀ c : 𝕜, ∀ s x, T s (c • x) = c • T s x`:
- `setToFun_smul : setToFun μ T hT (c • f) = c • setToFun μ T hT f`
Other:
- `setToFun_congr_ae (h : f =ᵐ[μ] g) : setToFun μ T hT f = setToFun μ T hT g`
- `setToFun_measure_zero (h : μ = 0) : setToFun μ T hT f = 0`
If the space is also an ordered additive group with an order closed topology and `T` is such that
`0 ≤ T s x` for `0 ≤ x`, we also prove order-related properties:
- `setToFun_mono_left (h : ∀ s x, T s x ≤ T' s x) : setToFun μ T hT f ≤ setToFun μ T' hT' f`
- `setToFun_nonneg (hf : 0 ≤ᵐ[μ] f) : 0 ≤ setToFun μ T hT f`
- `setToFun_mono (hfg : f ≤ᵐ[μ] g) : setToFun μ T hT f ≤ setToFun μ T hT g`
-/
noncomputable section
open scoped Topology NNReal
open Set Filter TopologicalSpace ENNReal
namespace MeasureTheory
variable {α E F F' G 𝕜 : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E]
[NormedAddCommGroup F] [NormedSpace ℝ F] [NormedAddCommGroup F'] [NormedSpace ℝ F']
[NormedAddCommGroup G] {m : MeasurableSpace α} {μ : Measure α}
namespace L1
open AEEqFun Lp.simpleFunc Lp
namespace SimpleFunc
theorem norm_eq_sum_mul (f : α →₁ₛ[μ] G) :
‖f‖ = ∑ x ∈ (toSimpleFunc f).range, μ.real (toSimpleFunc f ⁻¹' {x}) * ‖x‖ := by
rw [norm_toSimpleFunc, eLpNorm_one_eq_lintegral_enorm]
have h_eq := SimpleFunc.map_apply (‖·‖ₑ) (toSimpleFunc f)
simp_rw [← h_eq, measureReal_def]
rw [SimpleFunc.lintegral_eq_lintegral, SimpleFunc.map_lintegral, ENNReal.toReal_sum]
· congr
ext1 x
rw [ENNReal.toReal_mul, mul_comm, ← ofReal_norm_eq_enorm,
ENNReal.toReal_ofReal (norm_nonneg _)]
· intro x _
by_cases hx0 : x = 0
· rw [hx0]; simp
· exact
ENNReal.mul_ne_top ENNReal.coe_ne_top
(SimpleFunc.measure_preimage_lt_top_of_integrable _ (SimpleFunc.integrable f) hx0).ne
section SetToL1S
variable [NormedField 𝕜] [NormedSpace 𝕜 E]
attribute [local instance] Lp.simpleFunc.module
attribute [local instance] Lp.simpleFunc.normedSpace
/-- Extend `Set α → (E →L[ℝ] F')` to `(α →₁ₛ[μ] E) → F'`. -/
def setToL1S (T : Set α → E →L[ℝ] F) (f : α →₁ₛ[μ] E) : F :=
(toSimpleFunc f).setToSimpleFunc T
theorem setToL1S_eq_setToSimpleFunc (T : Set α → E →L[ℝ] F) (f : α →₁ₛ[μ] E) :
setToL1S T f = (toSimpleFunc f).setToSimpleFunc T :=
rfl
@[simp]
theorem setToL1S_zero_left (f : α →₁ₛ[μ] E) : setToL1S (0 : Set α → E →L[ℝ] F) f = 0 :=
SimpleFunc.setToSimpleFunc_zero _
theorem setToL1S_zero_left' {T : Set α → E →L[ℝ] F}
(h_zero : ∀ s, MeasurableSet s → μ s < ∞ → T s = 0) (f : α →₁ₛ[μ] E) : setToL1S T f = 0 :=
SimpleFunc.setToSimpleFunc_zero' h_zero _ (SimpleFunc.integrable f)
theorem setToL1S_congr (T : Set α → E →L[ℝ] F) (h_zero : ∀ s, MeasurableSet s → μ s = 0 → T s = 0)
(h_add : FinMeasAdditive μ T) {f g : α →₁ₛ[μ] E} (h : toSimpleFunc f =ᵐ[μ] toSimpleFunc g) :
setToL1S T f = setToL1S T g :=
SimpleFunc.setToSimpleFunc_congr T h_zero h_add (SimpleFunc.integrable f) h
theorem setToL1S_congr_left (T T' : Set α → E →L[ℝ] F)
(h : ∀ s, MeasurableSet s → μ s < ∞ → T s = T' s) (f : α →₁ₛ[μ] E) :
setToL1S T f = setToL1S T' f :=
SimpleFunc.setToSimpleFunc_congr_left T T' h (simpleFunc.toSimpleFunc f) (SimpleFunc.integrable f)
/-- `setToL1S` does not change if we replace the measure `μ` by `μ'` with `μ ≪ μ'`. The statement
uses two functions `f` and `f'` because they have to belong to different types, but morally these
are the same function (we have `f =ᵐ[μ] f'`). -/
theorem setToL1S_congr_measure {μ' : Measure α} (T : Set α → E →L[ℝ] F)
(h_zero : ∀ s, MeasurableSet s → μ s = 0 → T s = 0) (h_add : FinMeasAdditive μ T) (hμ : μ ≪ μ')
(f : α →₁ₛ[μ] E) (f' : α →₁ₛ[μ'] E) (h : (f : α → E) =ᵐ[μ] f') :
setToL1S T f = setToL1S T f' := by
refine SimpleFunc.setToSimpleFunc_congr T h_zero h_add (SimpleFunc.integrable f) ?_
refine (toSimpleFunc_eq_toFun f).trans ?_
suffices (f' : α → E) =ᵐ[μ] simpleFunc.toSimpleFunc f' from h.trans this
have goal' : (f' : α → E) =ᵐ[μ'] simpleFunc.toSimpleFunc f' := (toSimpleFunc_eq_toFun f').symm
exact hμ.ae_eq goal'
theorem setToL1S_add_left (T T' : Set α → E →L[ℝ] F) (f : α →₁ₛ[μ] E) :
setToL1S (T + T') f = setToL1S T f + setToL1S T' f :=
SimpleFunc.setToSimpleFunc_add_left T T'
theorem setToL1S_add_left' (T T' T'' : Set α → E →L[ℝ] F)
(h_add : ∀ s, MeasurableSet s → μ s < ∞ → T'' s = T s + T' s) (f : α →₁ₛ[μ] E) :
setToL1S T'' f = setToL1S T f + setToL1S T' f :=
SimpleFunc.setToSimpleFunc_add_left' T T' T'' h_add (SimpleFunc.integrable f)
theorem setToL1S_smul_left (T : Set α → E →L[ℝ] F) (c : ℝ) (f : α →₁ₛ[μ] E) :
setToL1S (fun s => c • T s) f = c • setToL1S T f :=
SimpleFunc.setToSimpleFunc_smul_left T c _
theorem setToL1S_smul_left' (T T' : Set α → E →L[ℝ] F) (c : ℝ)
(h_smul : ∀ s, MeasurableSet s → μ s < ∞ → T' s = c • T s) (f : α →₁ₛ[μ] E) :
setToL1S T' f = c • setToL1S T f :=
SimpleFunc.setToSimpleFunc_smul_left' T T' c h_smul (SimpleFunc.integrable f)
theorem setToL1S_add (T : Set α → E →L[ℝ] F) (h_zero : ∀ s, MeasurableSet s → μ s = 0 → T s = 0)
(h_add : FinMeasAdditive μ T) (f g : α →₁ₛ[μ] E) :
setToL1S T (f + g) = setToL1S T f + setToL1S T g := by
simp_rw [setToL1S]
rw [← SimpleFunc.setToSimpleFunc_add T h_add (SimpleFunc.integrable f)
(SimpleFunc.integrable g)]
exact
SimpleFunc.setToSimpleFunc_congr T h_zero h_add (SimpleFunc.integrable _)
(add_toSimpleFunc f g)
theorem setToL1S_neg {T : Set α → E →L[ℝ] F} (h_zero : ∀ s, MeasurableSet s → μ s = 0 → T s = 0)
(h_add : FinMeasAdditive μ T) (f : α →₁ₛ[μ] E) : setToL1S T (-f) = -setToL1S T f := by
simp_rw [setToL1S]
have : simpleFunc.toSimpleFunc (-f) =ᵐ[μ] ⇑(-simpleFunc.toSimpleFunc f) :=
neg_toSimpleFunc f
rw [SimpleFunc.setToSimpleFunc_congr T h_zero h_add (SimpleFunc.integrable _) this]
exact SimpleFunc.setToSimpleFunc_neg T h_add (SimpleFunc.integrable f)
theorem setToL1S_sub {T : Set α → E →L[ℝ] F} (h_zero : ∀ s, MeasurableSet s → μ s = 0 → T s = 0)
(h_add : FinMeasAdditive μ T) (f g : α →₁ₛ[μ] E) :
setToL1S T (f - g) = setToL1S T f - setToL1S T g := by
rw [sub_eq_add_neg, setToL1S_add T h_zero h_add, setToL1S_neg h_zero h_add, sub_eq_add_neg]
theorem setToL1S_smul_real (T : Set α → E →L[ℝ] F)
(h_zero : ∀ s, MeasurableSet s → μ s = 0 → T s = 0) (h_add : FinMeasAdditive μ T) (c : ℝ)
(f : α →₁ₛ[μ] E) : setToL1S T (c • f) = c • setToL1S T f := by
simp_rw [setToL1S]
rw [← SimpleFunc.setToSimpleFunc_smul_real T h_add c (SimpleFunc.integrable f)]
refine SimpleFunc.setToSimpleFunc_congr T h_zero h_add (SimpleFunc.integrable _) ?_
exact smul_toSimpleFunc c f
theorem setToL1S_smul {E} [NormedAddCommGroup E] [NormedSpace ℝ E] [NormedSpace 𝕜 E]
[DistribSMul 𝕜 F] (T : Set α → E →L[ℝ] F) (h_zero : ∀ s, MeasurableSet s → μ s = 0 → T s = 0)
(h_add : FinMeasAdditive μ T) (h_smul : ∀ c : 𝕜, ∀ s x, T s (c • x) = c • T s x) (c : 𝕜)
(f : α →₁ₛ[μ] E) : setToL1S T (c • f) = c • setToL1S T f := by
simp_rw [setToL1S]
rw [← SimpleFunc.setToSimpleFunc_smul T h_add h_smul c (SimpleFunc.integrable f)]
refine SimpleFunc.setToSimpleFunc_congr T h_zero h_add (SimpleFunc.integrable _) ?_
exact smul_toSimpleFunc c f
theorem norm_setToL1S_le (T : Set α → E →L[ℝ] F) {C : ℝ}
(hT_norm : ∀ s, MeasurableSet s → μ s < ∞ → ‖T s‖ ≤ C * μ.real s) (f : α →₁ₛ[μ] E) :
‖setToL1S T f‖ ≤ C * ‖f‖ := by
rw [setToL1S, norm_eq_sum_mul f]
exact
SimpleFunc.norm_setToSimpleFunc_le_sum_mul_norm_of_integrable T hT_norm _
(SimpleFunc.integrable f)
theorem setToL1S_indicatorConst {T : Set α → E →L[ℝ] F} {s : Set α}
(h_zero : ∀ s, MeasurableSet s → μ s = 0 → T s = 0) (h_add : FinMeasAdditive μ T)
(hs : MeasurableSet s) (hμs : μ s < ∞) (x : E) :
setToL1S T (simpleFunc.indicatorConst 1 hs hμs.ne x) = T s x := by
have h_empty : T ∅ = 0 := h_zero _ MeasurableSet.empty measure_empty
rw [setToL1S_eq_setToSimpleFunc]
refine Eq.trans ?_ (SimpleFunc.setToSimpleFunc_indicator T h_empty hs x)
refine SimpleFunc.setToSimpleFunc_congr T h_zero h_add (SimpleFunc.integrable _) ?_
exact toSimpleFunc_indicatorConst hs hμs.ne x
theorem setToL1S_const [IsFiniteMeasure μ] {T : Set α → E →L[ℝ] F}
(h_zero : ∀ s, MeasurableSet s → μ s = 0 → T s = 0) (h_add : FinMeasAdditive μ T) (x : E) :
setToL1S T (simpleFunc.indicatorConst 1 MeasurableSet.univ (measure_ne_top μ _) x) = T univ x :=
setToL1S_indicatorConst h_zero h_add MeasurableSet.univ (measure_lt_top _ _) x
section Order
variable {G'' G' : Type*}
[NormedAddCommGroup G'] [PartialOrder G'] [IsOrderedAddMonoid G'] [NormedSpace ℝ G']
[NormedAddCommGroup G''] [PartialOrder G''] [IsOrderedAddMonoid G''] [NormedSpace ℝ G'']
{T : Set α → G'' →L[ℝ] G'}
theorem setToL1S_mono_left {T T' : Set α → E →L[ℝ] G''} (hTT' : ∀ s x, T s x ≤ T' s x)
(f : α →₁ₛ[μ] E) : setToL1S T f ≤ setToL1S T' f :=
SimpleFunc.setToSimpleFunc_mono_left T T' hTT' _
theorem setToL1S_mono_left' {T T' : Set α → E →L[ℝ] G''}
(hTT' : ∀ s, MeasurableSet s → μ s < ∞ → ∀ x, T s x ≤ T' s x) (f : α →₁ₛ[μ] E) :
setToL1S T f ≤ setToL1S T' f :=
SimpleFunc.setToSimpleFunc_mono_left' T T' hTT' _ (SimpleFunc.integrable f)
omit [IsOrderedAddMonoid G''] in
theorem setToL1S_nonneg (h_zero : ∀ s, MeasurableSet s → μ s = 0 → T s = 0)
(h_add : FinMeasAdditive μ T)
(hT_nonneg : ∀ s, MeasurableSet s → μ s < ∞ → ∀ x, 0 ≤ x → 0 ≤ T s x) {f : α →₁ₛ[μ] G''}
(hf : 0 ≤ f) : 0 ≤ setToL1S T f := by
simp_rw [setToL1S]
obtain ⟨f', hf', hff'⟩ := exists_simpleFunc_nonneg_ae_eq hf
replace hff' : simpleFunc.toSimpleFunc f =ᵐ[μ] f' :=
(Lp.simpleFunc.toSimpleFunc_eq_toFun f).trans hff'
rw [SimpleFunc.setToSimpleFunc_congr _ h_zero h_add (SimpleFunc.integrable _) hff']
exact
SimpleFunc.setToSimpleFunc_nonneg' T hT_nonneg _ hf' ((SimpleFunc.integrable f).congr hff')
theorem setToL1S_mono (h_zero : ∀ s, MeasurableSet s → μ s = 0 → T s = 0)
(h_add : FinMeasAdditive μ T)
(hT_nonneg : ∀ s, MeasurableSet s → μ s < ∞ → ∀ x, 0 ≤ x → 0 ≤ T s x) {f g : α →₁ₛ[μ] G''}
(hfg : f ≤ g) : setToL1S T f ≤ setToL1S T g := by
rw [← sub_nonneg] at hfg ⊢
rw [← setToL1S_sub h_zero h_add]
exact setToL1S_nonneg h_zero h_add hT_nonneg hfg
end Order
variable [NormedSpace 𝕜 F]
variable (α E μ 𝕜)
/-- Extend `Set α → E →L[ℝ] F` to `(α →₁ₛ[μ] E) →L[𝕜] F`. -/
def setToL1SCLM' {T : Set α → E →L[ℝ] F} {C : ℝ} (hT : DominatedFinMeasAdditive μ T C)
(h_smul : ∀ c : 𝕜, ∀ s x, T s (c • x) = c • T s x) : (α →₁ₛ[μ] E) →L[𝕜] F :=
LinearMap.mkContinuous
⟨⟨setToL1S T, setToL1S_add T (fun _ => hT.eq_zero_of_measure_zero) hT.1⟩,
setToL1S_smul T (fun _ => hT.eq_zero_of_measure_zero) hT.1 h_smul⟩
C fun f => norm_setToL1S_le T hT.2 f
/-- Extend `Set α → E →L[ℝ] F` to `(α →₁ₛ[μ] E) →L[ℝ] F`. -/
def setToL1SCLM {T : Set α → E →L[ℝ] F} {C : ℝ} (hT : DominatedFinMeasAdditive μ T C) :
(α →₁ₛ[μ] E) →L[ℝ] F :=
LinearMap.mkContinuous
⟨⟨setToL1S T, setToL1S_add T (fun _ => hT.eq_zero_of_measure_zero) hT.1⟩,
setToL1S_smul_real T (fun _ => hT.eq_zero_of_measure_zero) hT.1⟩
C fun f => norm_setToL1S_le T hT.2 f
variable {α E μ 𝕜}
variable {T T' T'' : Set α → E →L[ℝ] F} {C C' C'' : ℝ}
@[simp]
theorem setToL1SCLM_zero_left (hT : DominatedFinMeasAdditive μ (0 : Set α → E →L[ℝ] F) C)
(f : α →₁ₛ[μ] E) : setToL1SCLM α E μ hT f = 0 :=
setToL1S_zero_left _
theorem setToL1SCLM_zero_left' (hT : DominatedFinMeasAdditive μ T C)
(h_zero : ∀ s, MeasurableSet s → μ s < ∞ → T s = 0) (f : α →₁ₛ[μ] E) :
setToL1SCLM α E μ hT f = 0 :=
setToL1S_zero_left' h_zero f
theorem setToL1SCLM_congr_left (hT : DominatedFinMeasAdditive μ T C)
(hT' : DominatedFinMeasAdditive μ T' C') (h : T = T') (f : α →₁ₛ[μ] E) :
setToL1SCLM α E μ hT f = setToL1SCLM α E μ hT' f :=
setToL1S_congr_left T T' (fun _ _ _ => by rw [h]) f
theorem setToL1SCLM_congr_left' (hT : DominatedFinMeasAdditive μ T C)
(hT' : DominatedFinMeasAdditive μ T' C') (h : ∀ s, MeasurableSet s → μ s < ∞ → T s = T' s)
(f : α →₁ₛ[μ] E) : setToL1SCLM α E μ hT f = setToL1SCLM α E μ hT' f :=
setToL1S_congr_left T T' h f
theorem setToL1SCLM_congr_measure {μ' : Measure α} (hT : DominatedFinMeasAdditive μ T C)
(hT' : DominatedFinMeasAdditive μ' T C') (hμ : μ ≪ μ') (f : α →₁ₛ[μ] E) (f' : α →₁ₛ[μ'] E)
(h : (f : α → E) =ᵐ[μ] f') : setToL1SCLM α E μ hT f = setToL1SCLM α E μ' hT' f' :=
setToL1S_congr_measure T (fun _ => hT.eq_zero_of_measure_zero) hT.1 hμ _ _ h
theorem setToL1SCLM_add_left (hT : DominatedFinMeasAdditive μ T C)
(hT' : DominatedFinMeasAdditive μ T' C') (f : α →₁ₛ[μ] E) :
setToL1SCLM α E μ (hT.add hT') f = setToL1SCLM α E μ hT f + setToL1SCLM α E μ hT' f :=
setToL1S_add_left T T' f
theorem setToL1SCLM_add_left' (hT : DominatedFinMeasAdditive μ T C)
(hT' : DominatedFinMeasAdditive μ T' C') (hT'' : DominatedFinMeasAdditive μ T'' C'')
(h_add : ∀ s, MeasurableSet s → μ s < ∞ → T'' s = T s + T' s) (f : α →₁ₛ[μ] E) :
setToL1SCLM α E μ hT'' f = setToL1SCLM α E μ hT f + setToL1SCLM α E μ hT' f :=
setToL1S_add_left' T T' T'' h_add f
theorem setToL1SCLM_smul_left (c : ℝ) (hT : DominatedFinMeasAdditive μ T C) (f : α →₁ₛ[μ] E) :
setToL1SCLM α E μ (hT.smul c) f = c • setToL1SCLM α E μ hT f :=
setToL1S_smul_left T c f
theorem setToL1SCLM_smul_left' (c : ℝ) (hT : DominatedFinMeasAdditive μ T C)
(hT' : DominatedFinMeasAdditive μ T' C')
(h_smul : ∀ s, MeasurableSet s → μ s < ∞ → T' s = c • T s) (f : α →₁ₛ[μ] E) :
setToL1SCLM α E μ hT' f = c • setToL1SCLM α E μ hT f :=
setToL1S_smul_left' T T' c h_smul f
theorem norm_setToL1SCLM_le {T : Set α → E →L[ℝ] F} {C : ℝ} (hT : DominatedFinMeasAdditive μ T C)
(hC : 0 ≤ C) : ‖setToL1SCLM α E μ hT‖ ≤ C :=
LinearMap.mkContinuous_norm_le _ hC _
theorem norm_setToL1SCLM_le' {T : Set α → E →L[ℝ] F} {C : ℝ} (hT : DominatedFinMeasAdditive μ T C) :
‖setToL1SCLM α E μ hT‖ ≤ max C 0 :=
LinearMap.mkContinuous_norm_le' _ _
theorem setToL1SCLM_const [IsFiniteMeasure μ] {T : Set α → E →L[ℝ] F} {C : ℝ}
(hT : DominatedFinMeasAdditive μ T C) (x : E) :
setToL1SCLM α E μ hT (simpleFunc.indicatorConst 1 MeasurableSet.univ (measure_ne_top μ _) x) =
T univ x :=
setToL1S_const (fun _ => hT.eq_zero_of_measure_zero) hT.1 x
section Order
variable {G' G'' : Type*}
[NormedAddCommGroup G''] [PartialOrder G''] [IsOrderedAddMonoid G''] [NormedSpace ℝ G'']
[NormedAddCommGroup G'] [PartialOrder G'] [IsOrderedAddMonoid G'] [NormedSpace ℝ G']
theorem setToL1SCLM_mono_left {T T' : Set α → E →L[ℝ] G''} {C C' : ℝ}
(hT : DominatedFinMeasAdditive μ T C) (hT' : DominatedFinMeasAdditive μ T' C')
(hTT' : ∀ s x, T s x ≤ T' s x) (f : α →₁ₛ[μ] E) :
setToL1SCLM α E μ hT f ≤ setToL1SCLM α E μ hT' f :=
SimpleFunc.setToSimpleFunc_mono_left T T' hTT' _
theorem setToL1SCLM_mono_left' {T T' : Set α → E →L[ℝ] G''} {C C' : ℝ}
(hT : DominatedFinMeasAdditive μ T C) (hT' : DominatedFinMeasAdditive μ T' C')
(hTT' : ∀ s, MeasurableSet s → μ s < ∞ → ∀ x, T s x ≤ T' s x) (f : α →₁ₛ[μ] E) :
setToL1SCLM α E μ hT f ≤ setToL1SCLM α E μ hT' f :=
SimpleFunc.setToSimpleFunc_mono_left' T T' hTT' _ (SimpleFunc.integrable f)
omit [IsOrderedAddMonoid G'] in
theorem setToL1SCLM_nonneg {T : Set α → G' →L[ℝ] G''} {C : ℝ} (hT : DominatedFinMeasAdditive μ T C)
(hT_nonneg : ∀ s, MeasurableSet s → μ s < ∞ → ∀ x, 0 ≤ x → 0 ≤ T s x) {f : α →₁ₛ[μ] G'}
(hf : 0 ≤ f) : 0 ≤ setToL1SCLM α G' μ hT f :=
setToL1S_nonneg (fun _ => hT.eq_zero_of_measure_zero) hT.1 hT_nonneg hf
theorem setToL1SCLM_mono {T : Set α → G' →L[ℝ] G''} {C : ℝ} (hT : DominatedFinMeasAdditive μ T C)
(hT_nonneg : ∀ s, MeasurableSet s → μ s < ∞ → ∀ x, 0 ≤ x → 0 ≤ T s x) {f g : α →₁ₛ[μ] G'}
(hfg : f ≤ g) : setToL1SCLM α G' μ hT f ≤ setToL1SCLM α G' μ hT g :=
setToL1S_mono (fun _ => hT.eq_zero_of_measure_zero) hT.1 hT_nonneg hfg
end Order
end SetToL1S
end SimpleFunc
open SimpleFunc
section SetToL1
attribute [local instance] Lp.simpleFunc.module
attribute [local instance] Lp.simpleFunc.normedSpace
variable (𝕜) [NontriviallyNormedField 𝕜] [NormedSpace 𝕜 E] [NormedSpace 𝕜 F] [CompleteSpace F]
{T T' T'' : Set α → E →L[ℝ] F} {C C' C'' : ℝ}
/-- Extend `Set α → (E →L[ℝ] F)` to `(α →₁[μ] E) →L[𝕜] F`. -/
def setToL1' (hT : DominatedFinMeasAdditive μ T C)
(h_smul : ∀ c : 𝕜, ∀ s x, T s (c • x) = c • T s x) : (α →₁[μ] E) →L[𝕜] F :=
(setToL1SCLM' α E 𝕜 μ hT h_smul).extend (coeToLp α E 𝕜) (simpleFunc.denseRange one_ne_top)
simpleFunc.isUniformInducing
variable {𝕜}
/-- Extend `Set α → E →L[ℝ] F` to `(α →₁[μ] E) →L[ℝ] F`. -/
def setToL1 (hT : DominatedFinMeasAdditive μ T C) : (α →₁[μ] E) →L[ℝ] F :=
(setToL1SCLM α E μ hT).extend (coeToLp α E ℝ) (simpleFunc.denseRange one_ne_top)
simpleFunc.isUniformInducing
theorem setToL1_eq_setToL1SCLM (hT : DominatedFinMeasAdditive μ T C) (f : α →₁ₛ[μ] E) :
setToL1 hT f = setToL1SCLM α E μ hT f :=
uniformly_extend_of_ind simpleFunc.isUniformInducing (simpleFunc.denseRange one_ne_top)
(setToL1SCLM α E μ hT).uniformContinuous _
theorem setToL1_eq_setToL1' (hT : DominatedFinMeasAdditive μ T C)
(h_smul : ∀ c : 𝕜, ∀ s x, T s (c • x) = c • T s x) (f : α →₁[μ] E) :
setToL1 hT f = setToL1' 𝕜 hT h_smul f :=
rfl
@[simp]
theorem setToL1_zero_left (hT : DominatedFinMeasAdditive μ (0 : Set α → E →L[ℝ] F) C)
(f : α →₁[μ] E) : setToL1 hT f = 0 := by
suffices setToL1 hT = 0 by rw [this]; simp
refine ContinuousLinearMap.extend_unique (setToL1SCLM α E μ hT) _ _ _ _ ?_
ext1 f
rw [setToL1SCLM_zero_left hT f, ContinuousLinearMap.zero_comp, ContinuousLinearMap.zero_apply]
theorem setToL1_zero_left' (hT : DominatedFinMeasAdditive μ T C)
(h_zero : ∀ s, MeasurableSet s → μ s < ∞ → T s = 0) (f : α →₁[μ] E) : setToL1 hT f = 0 := by
suffices setToL1 hT = 0 by rw [this]; simp
refine ContinuousLinearMap.extend_unique (setToL1SCLM α E μ hT) _ _ _ _ ?_
ext1 f
rw [setToL1SCLM_zero_left' hT h_zero f, ContinuousLinearMap.zero_comp,
ContinuousLinearMap.zero_apply]
theorem setToL1_congr_left (T T' : Set α → E →L[ℝ] F) {C C' : ℝ}
(hT : DominatedFinMeasAdditive μ T C) (hT' : DominatedFinMeasAdditive μ T' C') (h : T = T')
(f : α →₁[μ] E) : setToL1 hT f = setToL1 hT' f := by
suffices setToL1 hT = setToL1 hT' by rw [this]
refine ContinuousLinearMap.extend_unique (setToL1SCLM α E μ hT) _ _ _ _ ?_
ext1 f
suffices setToL1 hT' f = setToL1SCLM α E μ hT f by rw [← this]; simp [coeToLp]
rw [setToL1_eq_setToL1SCLM]
exact setToL1SCLM_congr_left hT' hT h.symm f
theorem setToL1_congr_left' (T T' : Set α → E →L[ℝ] F) {C C' : ℝ}
(hT : DominatedFinMeasAdditive μ T C) (hT' : DominatedFinMeasAdditive μ T' C')
(h : ∀ s, MeasurableSet s → μ s < ∞ → T s = T' s) (f : α →₁[μ] E) :
setToL1 hT f = setToL1 hT' f := by
suffices setToL1 hT = setToL1 hT' by rw [this]
refine ContinuousLinearMap.extend_unique (setToL1SCLM α E μ hT) _ _ _ _ ?_
ext1 f
suffices setToL1 hT' f = setToL1SCLM α E μ hT f by rw [← this]; simp [coeToLp]
rw [setToL1_eq_setToL1SCLM]
exact (setToL1SCLM_congr_left' hT hT' h f).symm
theorem setToL1_add_left (hT : DominatedFinMeasAdditive μ T C)
(hT' : DominatedFinMeasAdditive μ T' C') (f : α →₁[μ] E) :
setToL1 (hT.add hT') f = setToL1 hT f + setToL1 hT' f := by
suffices setToL1 (hT.add hT') = setToL1 hT + setToL1 hT' by
rw [this, ContinuousLinearMap.add_apply]
refine ContinuousLinearMap.extend_unique (setToL1SCLM α E μ (hT.add hT')) _ _ _ _ ?_
ext1 f
suffices setToL1 hT f + setToL1 hT' f = setToL1SCLM α E μ (hT.add hT') f by
rw [← this]; simp [coeToLp]
rw [setToL1_eq_setToL1SCLM, setToL1_eq_setToL1SCLM, setToL1SCLM_add_left hT hT']
theorem setToL1_add_left' (hT : DominatedFinMeasAdditive μ T C)
(hT' : DominatedFinMeasAdditive μ T' C') (hT'' : DominatedFinMeasAdditive μ T'' C'')
(h_add : ∀ s, MeasurableSet s → μ s < ∞ → T'' s = T s + T' s) (f : α →₁[μ] E) :
setToL1 hT'' f = setToL1 hT f + setToL1 hT' f := by
suffices setToL1 hT'' = setToL1 hT + setToL1 hT' by rw [this, ContinuousLinearMap.add_apply]
refine ContinuousLinearMap.extend_unique (setToL1SCLM α E μ hT'') _ _ _ _ ?_
ext1 f
suffices setToL1 hT f + setToL1 hT' f = setToL1SCLM α E μ hT'' f by rw [← this]; simp [coeToLp]
rw [setToL1_eq_setToL1SCLM, setToL1_eq_setToL1SCLM,
setToL1SCLM_add_left' hT hT' hT'' h_add]
theorem setToL1_smul_left (hT : DominatedFinMeasAdditive μ T C) (c : ℝ) (f : α →₁[μ] E) :
setToL1 (hT.smul c) f = c • setToL1 hT f := by
suffices setToL1 (hT.smul c) = c • setToL1 hT by rw [this, ContinuousLinearMap.smul_apply]
refine ContinuousLinearMap.extend_unique (setToL1SCLM α E μ (hT.smul c)) _ _ _ _ ?_
ext1 f
suffices c • setToL1 hT f = setToL1SCLM α E μ (hT.smul c) f by rw [← this]; simp [coeToLp]
rw [setToL1_eq_setToL1SCLM, setToL1SCLM_smul_left c hT]
theorem setToL1_smul_left' (hT : DominatedFinMeasAdditive μ T C)
(hT' : DominatedFinMeasAdditive μ T' C') (c : ℝ)
(h_smul : ∀ s, MeasurableSet s → μ s < ∞ → T' s = c • T s) (f : α →₁[μ] E) :
setToL1 hT' f = c • setToL1 hT f := by
suffices setToL1 hT' = c • setToL1 hT by rw [this, ContinuousLinearMap.smul_apply]
refine ContinuousLinearMap.extend_unique (setToL1SCLM α E μ hT') _ _ _ _ ?_
ext1 f
suffices c • setToL1 hT f = setToL1SCLM α E μ hT' f by rw [← this]; simp [coeToLp]
rw [setToL1_eq_setToL1SCLM, setToL1SCLM_smul_left' c hT hT' h_smul]
theorem setToL1_smul (hT : DominatedFinMeasAdditive μ T C)
(h_smul : ∀ c : 𝕜, ∀ s x, T s (c • x) = c • T s x) (c : 𝕜) (f : α →₁[μ] E) :
setToL1 hT (c • f) = c • setToL1 hT f := by
rw [setToL1_eq_setToL1' hT h_smul, setToL1_eq_setToL1' hT h_smul]
exact ContinuousLinearMap.map_smul _ _ _
theorem setToL1_simpleFunc_indicatorConst (hT : DominatedFinMeasAdditive μ T C) {s : Set α}
(hs : MeasurableSet s) (hμs : μ s < ∞) (x : E) :
setToL1 hT (simpleFunc.indicatorConst 1 hs hμs.ne x) = T s x := by
rw [setToL1_eq_setToL1SCLM]
exact setToL1S_indicatorConst (fun s => hT.eq_zero_of_measure_zero) hT.1 hs hμs x
theorem setToL1_indicatorConstLp (hT : DominatedFinMeasAdditive μ T C) {s : Set α}
(hs : MeasurableSet s) (hμs : μ s ≠ ∞) (x : E) :
setToL1 hT (indicatorConstLp 1 hs hμs x) = T s x := by
rw [← Lp.simpleFunc.coe_indicatorConst hs hμs x]
exact setToL1_simpleFunc_indicatorConst hT hs hμs.lt_top x
theorem setToL1_const [IsFiniteMeasure μ] (hT : DominatedFinMeasAdditive μ T C) (x : E) :
setToL1 hT (indicatorConstLp 1 MeasurableSet.univ (measure_ne_top _ _) x) = T univ x :=
setToL1_indicatorConstLp hT MeasurableSet.univ (measure_ne_top _ _) x
section Order
variable {G' G'' : Type*}
[NormedAddCommGroup G''] [PartialOrder G''] [OrderClosedTopology G''] [IsOrderedAddMonoid G'']
[NormedSpace ℝ G''] [CompleteSpace G'']
[NormedAddCommGroup G'] [PartialOrder G'] [NormedSpace ℝ G']
theorem setToL1_mono_left' {T T' : Set α → E →L[ℝ] G''} {C C' : ℝ}
(hT : DominatedFinMeasAdditive μ T C) (hT' : DominatedFinMeasAdditive μ T' C')
(hTT' : ∀ s, MeasurableSet s → μ s < ∞ → ∀ x, T s x ≤ T' s x) (f : α →₁[μ] E) :
setToL1 hT f ≤ setToL1 hT' f := by
induction f using Lp.induction (hp_ne_top := one_ne_top) with
| @indicatorConst c s hs hμs =>
rw [setToL1_simpleFunc_indicatorConst hT hs hμs, setToL1_simpleFunc_indicatorConst hT' hs hμs]
exact hTT' s hs hμs c
| @add f g hf hg _ hf_le hg_le =>
rw [(setToL1 hT).map_add, (setToL1 hT').map_add]
exact add_le_add hf_le hg_le
| isClosed => exact isClosed_le (setToL1 hT).continuous (setToL1 hT').continuous
theorem setToL1_mono_left {T T' : Set α → E →L[ℝ] G''} {C C' : ℝ}
(hT : DominatedFinMeasAdditive μ T C) (hT' : DominatedFinMeasAdditive μ T' C')
(hTT' : ∀ s x, T s x ≤ T' s x) (f : α →₁[μ] E) : setToL1 hT f ≤ setToL1 hT' f :=
setToL1_mono_left' hT hT' (fun s _ _ x => hTT' s x) f
theorem setToL1_nonneg {T : Set α → G' →L[ℝ] G''} {C : ℝ} (hT : DominatedFinMeasAdditive μ T C)
(hT_nonneg : ∀ s, MeasurableSet s → μ s < ∞ → ∀ x, 0 ≤ x → 0 ≤ T s x) {f : α →₁[μ] G'}
(hf : 0 ≤ f) : 0 ≤ setToL1 hT f := by
suffices ∀ f : { g : α →₁[μ] G' // 0 ≤ g }, 0 ≤ setToL1 hT f from
this (⟨f, hf⟩ : { g : α →₁[μ] G' // 0 ≤ g })
refine fun g =>
@isClosed_property { g : α →₁ₛ[μ] G' // 0 ≤ g } { g : α →₁[μ] G' // 0 ≤ g } _ _
(fun g => 0 ≤ setToL1 hT g)
(denseRange_coeSimpleFuncNonnegToLpNonneg 1 μ G' one_ne_top) ?_ ?_ g
· exact isClosed_le continuous_zero ((setToL1 hT).continuous.comp continuous_induced_dom)
· intro g
have : (coeSimpleFuncNonnegToLpNonneg 1 μ G' g : α →₁[μ] G') = (g : α →₁ₛ[μ] G') := rfl
rw [this, setToL1_eq_setToL1SCLM]
exact setToL1S_nonneg (fun s => hT.eq_zero_of_measure_zero) hT.1 hT_nonneg g.2
theorem setToL1_mono [IsOrderedAddMonoid G']
{T : Set α → G' →L[ℝ] G''} {C : ℝ} (hT : DominatedFinMeasAdditive μ T C)
(hT_nonneg : ∀ s, MeasurableSet s → μ s < ∞ → ∀ x, 0 ≤ x → 0 ≤ T s x) {f g : α →₁[μ] G'}
(hfg : f ≤ g) : setToL1 hT f ≤ setToL1 hT g := by
rw [← sub_nonneg] at hfg ⊢
rw [← (setToL1 hT).map_sub]
exact setToL1_nonneg hT hT_nonneg hfg
end Order
theorem norm_setToL1_le_norm_setToL1SCLM (hT : DominatedFinMeasAdditive μ T C) :
‖setToL1 hT‖ ≤ ‖setToL1SCLM α E μ hT‖ :=
calc
‖setToL1 hT‖ ≤ (1 : ℝ≥0) * ‖setToL1SCLM α E μ hT‖ := by
refine
ContinuousLinearMap.opNorm_extend_le (setToL1SCLM α E μ hT) (coeToLp α E ℝ)
(simpleFunc.denseRange one_ne_top) fun x => le_of_eq ?_
rw [NNReal.coe_one, one_mul]
simp [coeToLp]
_ = ‖setToL1SCLM α E μ hT‖ := by rw [NNReal.coe_one, one_mul]
theorem norm_setToL1_le_mul_norm (hT : DominatedFinMeasAdditive μ T C) (hC : 0 ≤ C)
(f : α →₁[μ] E) : ‖setToL1 hT f‖ ≤ C * ‖f‖ :=
calc
‖setToL1 hT f‖ ≤ ‖setToL1SCLM α E μ hT‖ * ‖f‖ :=
| ContinuousLinearMap.le_of_opNorm_le _ (norm_setToL1_le_norm_setToL1SCLM hT) _
_ ≤ C * ‖f‖ := mul_le_mul (norm_setToL1SCLM_le hT hC) le_rfl (norm_nonneg _) hC
theorem norm_setToL1_le_mul_norm' (hT : DominatedFinMeasAdditive μ T C) (f : α →₁[μ] E) :
‖setToL1 hT f‖ ≤ max C 0 * ‖f‖ :=
calc
‖setToL1 hT f‖ ≤ ‖setToL1SCLM α E μ hT‖ * ‖f‖ :=
ContinuousLinearMap.le_of_opNorm_le _ (norm_setToL1_le_norm_setToL1SCLM hT) _
_ ≤ max C 0 * ‖f‖ :=
mul_le_mul (norm_setToL1SCLM_le' hT) le_rfl (norm_nonneg _) (le_max_right _ _)
| Mathlib/MeasureTheory/Integral/SetToL1.lean | 577 | 586 |
/-
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.Integral.Bochner.ContinuousLinearMap
import Mathlib.MeasureTheory.Measure.HasOuterApproxClosed
import Mathlib.MeasureTheory.Measure.Prod
import Mathlib.Topology.Algebra.Module.WeakDual
/-!
# Finite measures
This file defines the type of finite 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 finite measures is equipped with the topology of weak convergence
of measures. The topology of weak convergence is the coarsest topology w.r.t. which
for every bounded continuous `ℝ≥0`-valued function `f`, the integration of `f` against the
measure is continuous.
## Main definitions
The main definitions are
* `MeasureTheory.FiniteMeasure Ω`: The type of finite measures on `Ω` with the topology of weak
convergence of measures.
* `MeasureTheory.FiniteMeasure.toWeakDualBCNN : FiniteMeasure Ω → (WeakDual ℝ≥0 (Ω →ᵇ ℝ≥0))`:
Interpret a finite measure as a continuous linear functional on the space of
bounded continuous nonnegative functions on `Ω`. This is used for the definition of the
topology of weak convergence.
* `MeasureTheory.FiniteMeasure.map`: The push-forward `f* μ` of a finite measure `μ` on `Ω`
along a measurable function `f : Ω → Ω'`.
* `MeasureTheory.FiniteMeasure.mapCLM`: The push-forward along a given continuous `f : Ω → Ω'`
as a continuous linear map `f* : FiniteMeasure Ω →L[ℝ≥0] FiniteMeasure Ω'`.
## Main results
* Finite measures `μ` on `Ω` give rise to continuous linear functionals on the space of
bounded continuous nonnegative functions on `Ω` via integration:
`MeasureTheory.FiniteMeasure.toWeakDualBCNN : FiniteMeasure Ω → (WeakDual ℝ≥0 (Ω →ᵇ ℝ≥0))`
* `MeasureTheory.FiniteMeasure.tendsto_iff_forall_integral_tendsto`: Convergence of finite
measures is characterized by the convergence of integrals of all bounded continuous functions.
This shows that the chosen definition of topology coincides with the common textbook definition
of weak convergence of measures. A similar characterization by the convergence of integrals (in
the `MeasureTheory.lintegral` sense) of all bounded continuous nonnegative functions is
`MeasureTheory.FiniteMeasure.tendsto_iff_forall_lintegral_tendsto`.
* `MeasureTheory.FiniteMeasure.continuous_map`: For a continuous function `f : Ω → Ω'`, the
push-forward of finite measures `f* : FiniteMeasure Ω → FiniteMeasure Ω'` is continuous.
* `MeasureTheory.FiniteMeasure.t2Space`: The topology of weak convergence of finite Borel measures
is Hausdorff on spaces where indicators of closed sets have continuous decreasing approximating
sequences (in particular on any pseudo-metrizable spaces).
## Implementation notes
The topology of weak convergence of finite Borel measures is defined using a mapping from
`MeasureTheory.FiniteMeasure Ω` to `WeakDual ℝ≥0 (Ω →ᵇ ℝ≥0)`, inheriting the topology from the
latter.
The implementation of `MeasureTheory.FiniteMeasure Ω` and 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`. Another alternative would have been to
use a bijection with `MeasureTheory.VectorMeasure Ω ℝ≥0` as an intermediate step. Some
considerations:
* Potential advantages of using the `NNReal`-valued vector measure alternative:
* The coercion to function would avoid need to compose with `ENNReal.toNNReal`, the
`NNReal`-valued API could be more directly available.
* Potential drawbacks of the vector measure alternative:
* The coercion to function would lose monotonicity, as non-measurable sets would be defined to
have measure 0.
* No integration theory directly. E.g., the topology definition requires
`MeasureTheory.lintegral` w.r.t. a coercion to `MeasureTheory.Measure Ω` in any case.
## References
* [Billingsley, *Convergence of probability measures*][billingsley1999]
## Tags
weak convergence of measures, finite measure
-/
noncomputable section
open BoundedContinuousFunction Filter MeasureTheory Set Topology
open scoped ENNReal NNReal
namespace MeasureTheory
namespace FiniteMeasure
section FiniteMeasure
/-! ### Finite measures
In this section we define the `Type` of `MeasureTheory.FiniteMeasure Ω`, when `Ω` is a measurable
space. Finite measures on `Ω` are a module over `ℝ≥0`.
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.FiniteMeasure Ω` is equipped with
the topology of weak convergence of measures. This is implemented by defining a pairing of finite
measures `μ` on `Ω` with continuous bounded nonnegative functions `f : Ω →ᵇ ℝ≥0` via integration,
and using the associated weak topology (essentially the weak-star topology on the dual of
`Ω →ᵇ ℝ≥0`).
-/
variable {Ω : Type*} [MeasurableSpace Ω]
/-- Finite measures are defined as the subtype of measures that have the property of being finite
measures (i.e., their total mass is finite). -/
def _root_.MeasureTheory.FiniteMeasure (Ω : Type*) [MeasurableSpace Ω] : Type _ :=
{ μ : Measure Ω // IsFiniteMeasure μ }
/-- Coercion from `MeasureTheory.FiniteMeasure Ω` to `MeasureTheory.Measure Ω`. -/
@[coe]
def toMeasure : FiniteMeasure Ω → Measure Ω := Subtype.val
/-- A finite measure can be interpreted as a measure. -/
instance instCoe : Coe (FiniteMeasure Ω) (MeasureTheory.Measure Ω) := { coe := toMeasure }
instance isFiniteMeasure (μ : FiniteMeasure Ω) : IsFiniteMeasure (μ : Measure Ω) := μ.prop
@[simp]
theorem val_eq_toMeasure (ν : FiniteMeasure Ω) : ν.val = (ν : Measure Ω) := rfl
theorem toMeasure_injective : Function.Injective ((↑) : FiniteMeasure Ω → Measure Ω) :=
Subtype.coe_injective
instance instFunLike : FunLike (FiniteMeasure 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 : FiniteMeasure Ω) : μ = fun s ↦ ((μ : Measure Ω) s).toNNReal := rfl
lemma coeFn_mk (μ : Measure Ω) (hμ) :
DFunLike.coe (F := FiniteMeasure 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 := FiniteMeasure Ω) ⟨μ, hμ⟩ s = (μ s).toNNReal := rfl
@[simp]
theorem ennreal_coeFn_eq_coeFn_toMeasure (ν : FiniteMeasure Ω) (s : Set Ω) :
(ν s : ℝ≥0∞) = (ν : Measure Ω) s :=
ENNReal.coe_toNNReal (measure_lt_top (↑ν) s).ne
@[simp]
theorem null_iff_toMeasure_null (ν : FiniteMeasure 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 : FiniteMeasure Ω) {s₁ s₂ : Set Ω} (h : s₁ ⊆ s₂) : μ s₁ ≤ μ s₂ :=
ENNReal.toNNReal_mono (measure_ne_top _ s₂) ((μ : Measure Ω).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 : FiniteMeasure 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]
using tendsto_measure_iUnion_accumulate (μ := μ.toMeasure) (ι := ι)
/-- The (total) mass of a finite measure `μ` is `μ univ`, i.e., the cast to `NNReal` of
`(μ : measure Ω) univ`. -/
def mass (μ : FiniteMeasure Ω) : ℝ≥0 := μ univ
@[simp] theorem apply_le_mass (μ : FiniteMeasure Ω) (s : Set Ω) : μ s ≤ μ.mass := by
simpa using apply_mono μ (subset_univ s)
@[simp]
theorem ennreal_mass {μ : FiniteMeasure Ω} : (μ.mass : ℝ≥0∞) = (μ : Measure Ω) univ :=
ennreal_coeFn_eq_coeFn_toMeasure μ Set.univ
instance instZero : Zero (FiniteMeasure Ω) where zero := ⟨0, MeasureTheory.isFiniteMeasureZero⟩
@[simp, norm_cast] lemma coeFn_zero : ⇑(0 : FiniteMeasure Ω) = 0 := rfl
@[simp]
theorem zero_mass : (0 : FiniteMeasure Ω).mass = 0 := rfl
@[simp]
theorem mass_zero_iff (μ : FiniteMeasure Ω) : μ.mass = 0 ↔ μ = 0 := by
refine ⟨fun μ_mass => ?_, fun hμ => by simp only [hμ, zero_mass]⟩
apply toMeasure_injective
apply Measure.measure_univ_eq_zero.mp
rwa [← ennreal_mass, ENNReal.coe_eq_zero]
theorem mass_nonzero_iff (μ : FiniteMeasure Ω) : μ.mass ≠ 0 ↔ μ ≠ 0 :=
not_iff_not.mpr <| FiniteMeasure.mass_zero_iff μ
@[ext]
theorem eq_of_forall_toMeasure_apply_eq (μ ν : FiniteMeasure Ω)
(h : ∀ s : Set Ω, MeasurableSet s → (μ : Measure Ω) s = (ν : Measure Ω) s) : μ = ν := by
apply Subtype.ext
ext1 s s_mble
exact h s s_mble
theorem eq_of_forall_apply_eq (μ ν : FiniteMeasure 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)
instance instInhabited : Inhabited (FiniteMeasure Ω) := ⟨0⟩
instance instAdd : Add (FiniteMeasure Ω) where add μ ν := ⟨μ + ν, MeasureTheory.isFiniteMeasureAdd⟩
variable {R : Type*} [SMul R ℝ≥0] [SMul R ℝ≥0∞] [IsScalarTower R ℝ≥0 ℝ≥0∞]
[IsScalarTower R ℝ≥0∞ ℝ≥0∞]
instance instSMul : SMul R (FiniteMeasure Ω) where
smul (c : R) μ := ⟨c • (μ : Measure Ω), MeasureTheory.isFiniteMeasureSMulOfNNRealTower⟩
@[simp, norm_cast]
theorem toMeasure_zero : ((↑) : FiniteMeasure Ω → Measure Ω) 0 = 0 := rfl
@[norm_cast]
theorem toMeasure_add (μ ν : FiniteMeasure Ω) : ↑(μ + ν) = (↑μ + ↑ν : Measure Ω) := rfl
@[simp, norm_cast]
theorem toMeasure_smul (c : R) (μ : FiniteMeasure Ω) : ↑(c • μ) = c • (μ : Measure Ω) :=
rfl
@[simp, norm_cast]
theorem coeFn_add (μ ν : FiniteMeasure Ω) : (⇑(μ + ν) : Set Ω → ℝ≥0) = (⇑μ + ⇑ν : Set Ω → ℝ≥0) := by
funext
simp only [Pi.add_apply, ← ENNReal.coe_inj, ne_eq, ennreal_coeFn_eq_coeFn_toMeasure,
ENNReal.coe_add]
norm_cast
@[simp, norm_cast]
theorem coeFn_smul [IsScalarTower R ℝ≥0 ℝ≥0] (c : R) (μ : FiniteMeasure Ω) :
(⇑(c • μ) : Set Ω → ℝ≥0) = c • (⇑μ : Set Ω → ℝ≥0) := by
funext; simp [← ENNReal.coe_inj, ENNReal.coe_smul]
instance instAddCommMonoid : AddCommMonoid (FiniteMeasure Ω) :=
toMeasure_injective.addCommMonoid _ toMeasure_zero toMeasure_add fun _ _ ↦ toMeasure_smul _ _
/-- Coercion is an `AddMonoidHom`. -/
@[simps]
def toMeasureAddMonoidHom : FiniteMeasure Ω →+ Measure Ω where
toFun := (↑)
map_zero' := toMeasure_zero
map_add' := toMeasure_add
instance {Ω : Type*} [MeasurableSpace Ω] : Module ℝ≥0 (FiniteMeasure Ω) :=
Function.Injective.module _ toMeasureAddMonoidHom toMeasure_injective toMeasure_smul
@[simp]
theorem smul_apply [IsScalarTower R ℝ≥0 ℝ≥0] (c : R) (μ : FiniteMeasure Ω) (s : Set Ω) :
(c • μ) s = c • μ s := by
rw [coeFn_smul, Pi.smul_apply]
/-- Restrict a finite measure μ to a set A. -/
def restrict (μ : FiniteMeasure Ω) (A : Set Ω) : FiniteMeasure Ω where
val := (μ : Measure Ω).restrict A
property := MeasureTheory.isFiniteMeasureRestrict (μ : Measure Ω) A
theorem restrict_measure_eq (μ : FiniteMeasure Ω) (A : Set Ω) :
(μ.restrict A : Measure Ω) = (μ : Measure Ω).restrict A := rfl
theorem restrict_apply_measure (μ : FiniteMeasure Ω) (A : Set Ω) {s : Set Ω}
(s_mble : MeasurableSet s) : (μ.restrict A : Measure Ω) s = (μ : Measure Ω) (s ∩ A) :=
Measure.restrict_apply s_mble
theorem restrict_apply (μ : FiniteMeasure Ω) (A : Set Ω) {s : Set Ω} (s_mble : MeasurableSet s) :
(μ.restrict A) s = μ (s ∩ A) := by
apply congr_arg ENNReal.toNNReal
exact Measure.restrict_apply s_mble
theorem restrict_mass (μ : FiniteMeasure Ω) (A : Set Ω) : (μ.restrict A).mass = μ A := by
simp only [mass, restrict_apply μ A MeasurableSet.univ, univ_inter]
theorem restrict_eq_zero_iff (μ : FiniteMeasure Ω) (A : Set Ω) : μ.restrict A = 0 ↔ μ A = 0 := by
rw [← mass_zero_iff, restrict_mass]
theorem restrict_nonzero_iff (μ : FiniteMeasure Ω) (A : Set Ω) : μ.restrict A ≠ 0 ↔ μ A ≠ 0 := by
rw [← mass_nonzero_iff, restrict_mass]
/-- The type of finite measures is a measurable space when equipped with the Giry monad. -/
instance : MeasurableSpace (FiniteMeasure Ω) := Subtype.instMeasurableSpace
/-- The set of all finite measures is a measurable set in the Giry monad. -/
lemma measurableSet_isFiniteMeasure : MeasurableSet { μ : Measure Ω | IsFiniteMeasure μ } := by
suffices { μ : Measure Ω | IsFiniteMeasure μ } = (fun μ => μ univ) ⁻¹' (Set.Ico 0 ∞) by
rw [this]
exact Measure.measurable_coe MeasurableSet.univ measurableSet_Ico
ext μ
simp only [mem_setOf_eq, mem_iUnion, mem_preimage, mem_Ico, zero_le, true_and, exists_const]
exact isFiniteMeasure_iff μ
/-- The monoidal product is a measurabule function from the product of finite measures over
`α` and `β` into the type of finite measures over `α × β`. -/
theorem measurable_prod {α β : Type*} [MeasurableSpace α] [MeasurableSpace β] :
Measurable (fun (μ : FiniteMeasure α × FiniteMeasure β)
↦ μ.1.toMeasure.prod μ.2.toMeasure) := by
have Heval {u v} (Hu : MeasurableSet u) (Hv : MeasurableSet v):
Measurable fun a : (FiniteMeasure α × FiniteMeasure β) ↦
a.1.toMeasure u * a.2.toMeasure v :=
Measurable.mul
((Measure.measurable_coe Hu).comp (measurable_subtype_coe.comp measurable_fst))
((Measure.measurable_coe Hv).comp (measurable_subtype_coe.comp measurable_snd))
apply Measurable.measure_of_isPiSystem generateFrom_prod.symm isPiSystem_prod _
· simp_rw [← Set.univ_prod_univ, Measure.prod_prod, Heval MeasurableSet.univ MeasurableSet.univ]
simp only [mem_image2, mem_setOf_eq, forall_exists_index, and_imp]
intros _ _ Hu _ Hv Heq
simp_rw [← Heq, Measure.prod_prod, Heval Hu Hv]
variable [TopologicalSpace Ω]
/-- Two finite Borel measures are equal if the integrals of all non-negative bounded continuous
functions with respect to both agree. -/
theorem ext_of_forall_lintegral_eq [HasOuterApproxClosed Ω] [BorelSpace Ω]
{μ ν : FiniteMeasure Ω} (h : ∀ (f : Ω →ᵇ ℝ≥0), ∫⁻ x, f x ∂μ = ∫⁻ x, f x ∂ν) :
μ = ν := by
apply Subtype.ext
change (μ : Measure Ω) = (ν : Measure Ω)
exact ext_of_forall_lintegral_eq_of_IsFiniteMeasure h
/-- Two finite Borel measures are equal if the integrals of all bounded continuous functions with
respect to both agree. -/
theorem ext_of_forall_integral_eq [HasOuterApproxClosed Ω] [BorelSpace Ω]
{μ ν : FiniteMeasure Ω} (h : ∀ (f : Ω →ᵇ ℝ), ∫ x, f x ∂μ = ∫ x, f x ∂ν) :
μ = ν := by
apply ext_of_forall_lintegral_eq
intro f
apply (ENNReal.toReal_eq_toReal_iff' (lintegral_lt_top_of_nnreal μ f).ne
(lintegral_lt_top_of_nnreal ν f).ne).mp
rw [toReal_lintegral_coe_eq_integral f μ, toReal_lintegral_coe_eq_integral f ν]
exact h ⟨⟨fun x => (f x).toReal, Continuous.comp' NNReal.continuous_coe f.continuous⟩,
f.map_bounded'⟩
/-- The pairing of a finite (Borel) measure `μ` with a nonnegative bounded continuous
function is obtained by (Lebesgue) integrating the (test) function against the measure.
This is `MeasureTheory.FiniteMeasure.testAgainstNN`. -/
def testAgainstNN (μ : FiniteMeasure Ω) (f : Ω →ᵇ ℝ≥0) : ℝ≥0 :=
(∫⁻ ω, f ω ∂(μ : Measure Ω)).toNNReal
@[simp]
theorem testAgainstNN_coe_eq {μ : FiniteMeasure Ω} {f : Ω →ᵇ ℝ≥0} :
(μ.testAgainstNN f : ℝ≥0∞) = ∫⁻ ω, f ω ∂(μ : Measure Ω) :=
ENNReal.coe_toNNReal (f.lintegral_lt_top_of_nnreal _).ne
theorem testAgainstNN_const (μ : FiniteMeasure Ω) (c : ℝ≥0) :
μ.testAgainstNN (BoundedContinuousFunction.const Ω c) = c * μ.mass := by
simp [← ENNReal.coe_inj]
theorem testAgainstNN_mono (μ : FiniteMeasure Ω) {f g : Ω →ᵇ ℝ≥0} (f_le_g : (f : Ω → ℝ≥0) ≤ g) :
μ.testAgainstNN f ≤ μ.testAgainstNN g := by
simp only [← ENNReal.coe_le_coe, testAgainstNN_coe_eq]
gcongr
apply f_le_g
@[simp]
theorem testAgainstNN_zero (μ : FiniteMeasure Ω) : μ.testAgainstNN 0 = 0 := by
simpa only [zero_mul] using μ.testAgainstNN_const 0
@[simp]
theorem testAgainstNN_one (μ : FiniteMeasure Ω) : μ.testAgainstNN 1 = μ.mass := by
simp only [testAgainstNN, coe_one, Pi.one_apply, ENNReal.coe_one, lintegral_one]
rfl
@[simp]
theorem zero_testAgainstNN_apply (f : Ω →ᵇ ℝ≥0) : (0 : FiniteMeasure Ω).testAgainstNN f = 0 := by
simp only [testAgainstNN, toMeasure_zero, lintegral_zero_measure, ENNReal.toNNReal_zero]
theorem zero_testAgainstNN : (0 : FiniteMeasure Ω).testAgainstNN = 0 := by
funext
simp only [zero_testAgainstNN_apply, Pi.zero_apply]
@[simp]
theorem smul_testAgainstNN_apply (c : ℝ≥0) (μ : FiniteMeasure Ω) (f : Ω →ᵇ ℝ≥0) :
(c • μ).testAgainstNN f = c • μ.testAgainstNN f := by
simp only [testAgainstNN, toMeasure_smul, smul_eq_mul, ← ENNReal.smul_toNNReal, ENNReal.smul_def,
lintegral_smul_measure]
section weak_convergence
variable [OpensMeasurableSpace Ω]
theorem testAgainstNN_add (μ : FiniteMeasure Ω) (f₁ f₂ : Ω →ᵇ ℝ≥0) :
μ.testAgainstNN (f₁ + f₂) = μ.testAgainstNN f₁ + μ.testAgainstNN f₂ := by
simp only [← ENNReal.coe_inj, BoundedContinuousFunction.coe_add, ENNReal.coe_add, Pi.add_apply,
testAgainstNN_coe_eq]
exact lintegral_add_left (BoundedContinuousFunction.measurable_coe_ennreal_comp _) _
theorem testAgainstNN_smul [IsScalarTower R ℝ≥0 ℝ≥0] [PseudoMetricSpace R] [Zero R]
[IsBoundedSMul R ℝ≥0] (μ : FiniteMeasure Ω) (c : R) (f : Ω →ᵇ ℝ≥0) :
μ.testAgainstNN (c • f) = c • μ.testAgainstNN f := by
simp only [← ENNReal.coe_inj, BoundedContinuousFunction.coe_smul, testAgainstNN_coe_eq,
ENNReal.coe_smul]
simp_rw [← smul_one_smul ℝ≥0∞ c (f _ : ℝ≥0∞), ← smul_one_smul ℝ≥0∞ c (lintegral _ _ : ℝ≥0∞),
smul_eq_mul]
exact lintegral_const_mul (c • (1 : ℝ≥0∞)) f.measurable_coe_ennreal_comp
theorem testAgainstNN_lipschitz_estimate (μ : FiniteMeasure Ω) (f g : Ω →ᵇ ℝ≥0) :
μ.testAgainstNN f ≤ μ.testAgainstNN g + nndist f g * μ.mass := by
simp only [← μ.testAgainstNN_const (nndist f g), ← testAgainstNN_add, ← ENNReal.coe_le_coe,
BoundedContinuousFunction.coe_add, const_apply, ENNReal.coe_add, Pi.add_apply,
coe_nnreal_ennreal_nndist, testAgainstNN_coe_eq]
apply lintegral_mono
have le_dist : ∀ ω, dist (f ω) (g ω) ≤ nndist f g := BoundedContinuousFunction.dist_coe_le_dist
intro ω
have le' : f ω ≤ g ω + nndist f g := by
calc f ω
_ ≤ g ω + nndist (f ω) (g ω) := NNReal.le_add_nndist (f ω) (g ω)
_ ≤ g ω + nndist f g := (add_le_add_iff_left (g ω)).mpr (le_dist ω)
have le : (f ω : ℝ≥0∞) ≤ (g ω : ℝ≥0∞) + nndist f g := by
simpa only [← ENNReal.coe_add] using (by exact_mod_cast le')
rwa [coe_nnreal_ennreal_nndist] at le
theorem testAgainstNN_lipschitz (μ : FiniteMeasure Ω) :
LipschitzWith μ.mass fun f : Ω →ᵇ ℝ≥0 ↦ μ.testAgainstNN f := by
rw [lipschitzWith_iff_dist_le_mul]
intro f₁ f₂
suffices abs (μ.testAgainstNN f₁ - μ.testAgainstNN f₂ : ℝ) ≤ μ.mass * dist f₁ f₂ by
rwa [NNReal.dist_eq]
apply abs_le.mpr
constructor
· have key := μ.testAgainstNN_lipschitz_estimate f₂ f₁
rw [mul_comm] at key
suffices ↑(μ.testAgainstNN f₂) ≤ ↑(μ.testAgainstNN f₁) + ↑μ.mass * dist f₁ f₂ by linarith
simpa [nndist_comm] using NNReal.coe_mono key
· have key := μ.testAgainstNN_lipschitz_estimate f₁ f₂
rw [mul_comm] at key
suffices ↑(μ.testAgainstNN f₁) ≤ ↑(μ.testAgainstNN f₂) + ↑μ.mass * dist f₁ f₂ by linarith
simpa using NNReal.coe_mono key
/-- Finite measures yield elements of the `WeakDual` of bounded continuous nonnegative
functions via `MeasureTheory.FiniteMeasure.testAgainstNN`, i.e., integration. -/
def toWeakDualBCNN (μ : FiniteMeasure Ω) : WeakDual ℝ≥0 (Ω →ᵇ ℝ≥0) where
toFun f := μ.testAgainstNN f
map_add' := testAgainstNN_add μ
map_smul' := testAgainstNN_smul μ
cont := μ.testAgainstNN_lipschitz.continuous
@[simp]
theorem coe_toWeakDualBCNN (μ : FiniteMeasure Ω) : ⇑μ.toWeakDualBCNN = μ.testAgainstNN :=
rfl
@[simp]
theorem toWeakDualBCNN_apply (μ : FiniteMeasure Ω) (f : Ω →ᵇ ℝ≥0) :
μ.toWeakDualBCNN f = (∫⁻ x, f x ∂(μ : Measure Ω)).toNNReal := rfl
/-- The topology of weak convergence on `MeasureTheory.FiniteMeasure Ω` is inherited (induced)
from the weak-* topology on `WeakDual ℝ≥0 (Ω →ᵇ ℝ≥0)` via the function
`MeasureTheory.FiniteMeasure.toWeakDualBCNN`. -/
instance instTopologicalSpace : TopologicalSpace (FiniteMeasure Ω) :=
TopologicalSpace.induced toWeakDualBCNN inferInstance
theorem toWeakDualBCNN_continuous : Continuous (@toWeakDualBCNN Ω _ _ _) :=
continuous_induced_dom
/-- Integration of (nonnegative bounded continuous) test functions against finite Borel measures
depends continuously on the measure. -/
theorem continuous_testAgainstNN_eval (f : Ω →ᵇ ℝ≥0) :
Continuous fun μ : FiniteMeasure Ω ↦ μ.testAgainstNN f := by
show Continuous ((fun φ : WeakDual ℝ≥0 (Ω →ᵇ ℝ≥0) ↦ φ f) ∘ toWeakDualBCNN)
refine Continuous.comp ?_ (toWeakDualBCNN_continuous (Ω := Ω))
exact WeakBilin.eval_continuous _ _
/-- The total mass of a finite measure depends continuously on the measure. -/
theorem continuous_mass : Continuous fun μ : FiniteMeasure Ω ↦ μ.mass := by
simp_rw [← testAgainstNN_one]; exact continuous_testAgainstNN_eval 1
/-- Convergence of finite measures implies the convergence of their total masses. -/
theorem _root_.Filter.Tendsto.mass {γ : Type*} {F : Filter γ} {μs : γ → FiniteMeasure Ω}
{μ : FiniteMeasure Ω} (h : Tendsto μs F (𝓝 μ)) : Tendsto (fun i ↦ (μs i).mass) F (𝓝 μ.mass) :=
(continuous_mass.tendsto μ).comp h
theorem tendsto_iff_weakDual_tendsto {γ : Type*} {F : Filter γ} {μs : γ → FiniteMeasure Ω}
{μ : FiniteMeasure Ω} :
Tendsto μs F (𝓝 μ) ↔ Tendsto (fun i ↦ (μs i).toWeakDualBCNN) F (𝓝 μ.toWeakDualBCNN) :=
IsInducing.tendsto_nhds_iff ⟨rfl⟩
theorem tendsto_iff_forall_toWeakDualBCNN_tendsto {γ : Type*} {F : Filter γ}
{μs : γ → FiniteMeasure Ω} {μ : FiniteMeasure Ω} :
Tendsto μs F (𝓝 μ) ↔
∀ f : Ω →ᵇ ℝ≥0, Tendsto (fun i ↦ (μs i).toWeakDualBCNN f) F (𝓝 (μ.toWeakDualBCNN f)) := by
rw [tendsto_iff_weakDual_tendsto, tendsto_iff_forall_eval_tendsto_topDualPairing]; rfl
theorem tendsto_iff_forall_testAgainstNN_tendsto {γ : Type*} {F : Filter γ}
{μs : γ → FiniteMeasure Ω} {μ : FiniteMeasure Ω} :
Tendsto μs F (𝓝 μ) ↔
∀ f : Ω →ᵇ ℝ≥0, Tendsto (fun i ↦ (μs i).testAgainstNN f) F (𝓝 (μ.testAgainstNN f)) := by
rw [FiniteMeasure.tendsto_iff_forall_toWeakDualBCNN_tendsto]; rfl
/-- If the total masses of finite measures tend to zero, then the measures tend to
zero. This formulation concerns the associated functionals on bounded continuous
nonnegative test functions. See `MeasureTheory.FiniteMeasure.tendsto_zero_of_tendsto_zero_mass` for
a formulation stating the weak convergence of measures. -/
theorem tendsto_zero_testAgainstNN_of_tendsto_zero_mass {γ : Type*} {F : Filter γ}
{μs : γ → FiniteMeasure Ω} (mass_lim : Tendsto (fun i ↦ (μs i).mass) F (𝓝 0)) (f : Ω →ᵇ ℝ≥0) :
Tendsto (fun i ↦ (μs i).testAgainstNN f) F (𝓝 0) := by
apply tendsto_iff_dist_tendsto_zero.mpr
have obs := fun i ↦ (μs i).testAgainstNN_lipschitz_estimate f 0
simp_rw [testAgainstNN_zero, zero_add] at obs
simp_rw [show ∀ i, dist ((μs i).testAgainstNN f) 0 = (μs i).testAgainstNN f by
simp only [dist_nndist, NNReal.nndist_zero_eq_val', eq_self_iff_true, imp_true_iff]]
apply squeeze_zero (fun i ↦ NNReal.coe_nonneg _) obs
have lim_pair : Tendsto (fun i ↦ (⟨nndist f 0, (μs i).mass⟩ : ℝ × ℝ)) F (𝓝 ⟨nndist f 0, 0⟩) :=
(Prod.tendsto_iff _ _).mpr ⟨tendsto_const_nhds, (NNReal.continuous_coe.tendsto 0).comp mass_lim⟩
simpa using tendsto_mul.comp lim_pair
/-- If the total masses of finite measures tend to zero, then the measures tend to zero. -/
theorem tendsto_zero_of_tendsto_zero_mass {γ : Type*} {F : Filter γ} {μs : γ → FiniteMeasure Ω}
(mass_lim : Tendsto (fun i ↦ (μs i).mass) F (𝓝 0)) : Tendsto μs F (𝓝 0) := by
rw [tendsto_iff_forall_testAgainstNN_tendsto]
intro f
convert tendsto_zero_testAgainstNN_of_tendsto_zero_mass mass_lim f
rw [zero_testAgainstNN_apply]
/-- A characterization of weak convergence in terms of integrals of bounded continuous
nonnegative functions. -/
theorem tendsto_iff_forall_lintegral_tendsto {γ : Type*} {F : Filter γ} {μs : γ → FiniteMeasure Ω}
{μ : FiniteMeasure Ω} :
Tendsto μs F (𝓝 μ) ↔
∀ f : Ω →ᵇ ℝ≥0,
Tendsto (fun i ↦ ∫⁻ x, f x ∂(μs i : Measure Ω)) F (𝓝 (∫⁻ x, f x ∂(μ : Measure Ω))) := by
rw [tendsto_iff_forall_toWeakDualBCNN_tendsto]
simp_rw [toWeakDualBCNN_apply _ _, ← testAgainstNN_coe_eq, ENNReal.tendsto_coe,
ENNReal.toNNReal_coe]
end weak_convergence -- section
section Hausdorff
variable [HasOuterApproxClosed Ω] [BorelSpace Ω]
open Function
/-- The mapping `toWeakDualBCNN` from finite Borel measures to the weak dual of `Ω →ᵇ ℝ≥0` is
injective, if in the underlying space `Ω`, indicator functions of closed sets have decreasing
approximations by sequences of continuous functions (in particular if `Ω` is pseudometrizable). -/
lemma injective_toWeakDualBCNN :
Injective (toWeakDualBCNN : FiniteMeasure Ω → WeakDual ℝ≥0 (Ω →ᵇ ℝ≥0)) := by
| intro μ ν hμν
apply ext_of_forall_lintegral_eq
intro f
have key := congr_fun (congrArg DFunLike.coe hμν) f
apply (ENNReal.toNNReal_eq_toNNReal_iff' ?_ ?_).mp key
· exact (lintegral_lt_top_of_nnreal μ f).ne
| Mathlib/MeasureTheory/Measure/FiniteMeasure.lean | 539 | 544 |
/-
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.MonoidAlgebra.Support
import Mathlib.Algebra.Polynomial.Basic
import Mathlib.Data.Nat.Choose.Sum
import Mathlib.Algebra.CharP.Defs
/-!
# Theory of univariate polynomials
The theorems include formulas for computing coefficients, such as
`coeff_add`, `coeff_sum`, `coeff_mul`
-/
noncomputable section
open Finsupp Finset AddMonoidAlgebra
open Polynomial
namespace Polynomial
universe u v
variable {R : Type u} {S : Type v} {a b : R} {n m : ℕ}
variable [Semiring R] {p q r : R[X]}
section Coeff
@[simp]
theorem coeff_add (p q : R[X]) (n : ℕ) : coeff (p + q) n = coeff p n + coeff q n := by
rcases p with ⟨⟩
rcases q with ⟨⟩
simp_rw [← ofFinsupp_add, coeff]
exact Finsupp.add_apply _ _ _
@[simp]
theorem coeff_smul [SMulZeroClass S R] (r : S) (p : R[X]) (n : ℕ) :
coeff (r • p) n = r • coeff p n := by
rcases p with ⟨⟩
simp_rw [← ofFinsupp_smul, coeff]
exact Finsupp.smul_apply _ _ _
theorem support_smul [SMulZeroClass S R] (r : S) (p : R[X]) :
support (r • p) ⊆ support p := by
intro i hi
simp? [mem_support_iff] at hi ⊢ says simp only [mem_support_iff, coeff_smul, ne_eq] at hi ⊢
contrapose! hi
simp [hi]
open scoped Pointwise in
theorem card_support_mul_le : #(p * q).support ≤ #p.support * #q.support := by
calc #(p * q).support
_ = #(p.toFinsupp * q.toFinsupp).support := by rw [← support_toFinsupp, toFinsupp_mul]
_ ≤ #(p.toFinsupp.support + q.toFinsupp.support) :=
Finset.card_le_card (AddMonoidAlgebra.support_mul p.toFinsupp q.toFinsupp)
_ ≤ #p.support * #q.support := Finset.card_image₂_le ..
/-- `Polynomial.sum` as a linear map. -/
@[simps]
def lsum {R A M : Type*} [Semiring R] [Semiring A] [AddCommMonoid M] [Module R A] [Module R M]
(f : ℕ → A →ₗ[R] M) : A[X] →ₗ[R] M where
toFun p := p.sum (f · ·)
map_add' p q := sum_add_index p q _ (fun n => (f n).map_zero) fun n _ _ => (f n).map_add _ _
map_smul' c p := by
rw [sum_eq_of_subset (f · ·) (fun n => (f n).map_zero) (support_smul c p)]
simp only [sum_def, Finset.smul_sum, coeff_smul, LinearMap.map_smul, RingHom.id_apply]
variable (R) in
/-- The nth coefficient, as a linear map. -/
def lcoeff (n : ℕ) : R[X] →ₗ[R] R where
toFun p := coeff p n
map_add' p q := coeff_add p q n
map_smul' r p := coeff_smul r p n
@[simp]
theorem lcoeff_apply (n : ℕ) (f : R[X]) : lcoeff R n f = coeff f n :=
rfl
@[simp]
theorem finset_sum_coeff {ι : Type*} (s : Finset ι) (f : ι → R[X]) (n : ℕ) :
coeff (∑ b ∈ s, f b) n = ∑ b ∈ s, coeff (f b) n :=
map_sum (lcoeff R n) _ _
lemma coeff_list_sum (l : List R[X]) (n : ℕ) :
l.sum.coeff n = (l.map (lcoeff R n)).sum :=
map_list_sum (lcoeff R n) _
lemma coeff_list_sum_map {ι : Type*} (l : List ι) (f : ι → R[X]) (n : ℕ) :
(l.map f).sum.coeff n = (l.map (fun a => (f a).coeff n)).sum := by
simp_rw [coeff_list_sum, List.map_map, Function.comp_def, lcoeff_apply]
@[simp]
theorem coeff_sum [Semiring S] (n : ℕ) (f : ℕ → R → S[X]) :
coeff (p.sum f) n = p.sum fun a b => coeff (f a b) n := by
rcases p with ⟨⟩
simp [Polynomial.sum, support_ofFinsupp, coeff_ofFinsupp]
/-- Decomposes the coefficient of the product `p * q` as a sum
over `antidiagonal`. A version which sums over `range (n + 1)` can be obtained
by using `Finset.Nat.sum_antidiagonal_eq_sum_range_succ`. -/
theorem coeff_mul (p q : R[X]) (n : ℕ) :
coeff (p * q) n = ∑ x ∈ antidiagonal n, coeff p x.1 * coeff q x.2 := by
rcases p with ⟨p⟩; rcases q with ⟨q⟩
simp_rw [← ofFinsupp_mul, coeff]
exact AddMonoidAlgebra.mul_apply_antidiagonal p q n _ Finset.mem_antidiagonal
@[simp]
theorem mul_coeff_zero (p q : R[X]) : coeff (p * q) 0 = coeff p 0 * coeff q 0 := by simp [coeff_mul]
theorem mul_coeff_one (p q : R[X]) :
coeff (p * q) 1 = coeff p 0 * coeff q 1 + coeff p 1 * coeff q 0 := by
rw [coeff_mul, Nat.antidiagonal_eq_map]
simp [sum_range_succ]
/-- `constantCoeff p` returns the constant term of the polynomial `p`,
defined as `coeff p 0`. This is a ring homomorphism. -/
@[simps]
def constantCoeff : R[X] →+* R where
toFun p := coeff p 0
map_one' := coeff_one_zero
map_mul' := mul_coeff_zero
map_zero' := coeff_zero 0
map_add' p q := coeff_add p q 0
theorem isUnit_C {x : R} : IsUnit (C x) ↔ IsUnit x :=
⟨fun h => (congr_arg IsUnit coeff_C_zero).mp (h.map <| @constantCoeff R _), fun h => h.map C⟩
theorem coeff_mul_X_zero (p : R[X]) : coeff (p * X) 0 = 0 := by simp
theorem coeff_X_mul_zero (p : R[X]) : coeff (X * p) 0 = 0 := by simp
theorem coeff_C_mul_X_pow (x : R) (k n : ℕ) :
coeff (C x * X ^ k : R[X]) n = if n = k then x else 0 := by
rw [C_mul_X_pow_eq_monomial, coeff_monomial]
congr 1
simp [eq_comm]
theorem coeff_C_mul_X (x : R) (n : ℕ) : coeff (C x * X : R[X]) n = if n = 1 then x else 0 := by
rw [← pow_one X, coeff_C_mul_X_pow]
@[simp]
theorem coeff_C_mul (p : R[X]) : coeff (C a * p) n = a * coeff p n := by
rcases p with ⟨p⟩
simp_rw [← monomial_zero_left, ← ofFinsupp_single, ← ofFinsupp_mul, coeff]
exact AddMonoidAlgebra.single_zero_mul_apply p a n
theorem C_mul' (a : R) (f : R[X]) : C a * f = a • f := by
ext
rw [coeff_C_mul, coeff_smul, smul_eq_mul]
@[simp]
theorem coeff_mul_C (p : R[X]) (n : ℕ) (a : R) : coeff (p * C a) n = coeff p n * a := by
rcases p with ⟨p⟩
simp_rw [← monomial_zero_left, ← ofFinsupp_single, ← ofFinsupp_mul, coeff]
exact AddMonoidAlgebra.mul_single_zero_apply p a n
@[simp] lemma coeff_mul_natCast {a k : ℕ} :
coeff (p * (a : R[X])) k = coeff p k * (↑a : R) := coeff_mul_C _ _ _
@[simp] lemma coeff_natCast_mul {a k : ℕ} :
coeff ((a : R[X]) * p) k = a * coeff p k := coeff_C_mul _
@[simp] lemma coeff_mul_ofNat {a k : ℕ} [Nat.AtLeastTwo a] :
coeff (p * (ofNat(a) : R[X])) k = coeff p k * ofNat(a) := coeff_mul_C _ _ _
@[simp] lemma coeff_ofNat_mul {a k : ℕ} [Nat.AtLeastTwo a] :
coeff ((ofNat(a) : R[X]) * p) k = ofNat(a) * coeff p k := coeff_C_mul _
@[simp] lemma coeff_mul_intCast [Ring S] {p : S[X]} {a : ℤ} {k : ℕ} :
coeff (p * (a : S[X])) k = coeff p k * (↑a : S) := coeff_mul_C _ _ _
@[simp] lemma coeff_intCast_mul [Ring S] {p : S[X]} {a : ℤ} {k : ℕ} :
coeff ((a : S[X]) * p) k = a * coeff p k := coeff_C_mul _
@[simp]
theorem coeff_X_pow (k n : ℕ) : coeff (X ^ k : R[X]) n = if n = k then 1 else 0 := by
simp only [one_mul, RingHom.map_one, ← coeff_C_mul_X_pow]
theorem coeff_X_pow_self (n : ℕ) : coeff (X ^ n : R[X]) n = 1 := by simp
section Fewnomials
open Finset
theorem support_binomial {k m : ℕ} (hkm : k ≠ m) {x y : R} (hx : x ≠ 0) (hy : y ≠ 0) :
support (C x * X ^ k + C y * X ^ m) = {k, m} := by
apply subset_antisymm (support_binomial' k m x y)
simp_rw [insert_subset_iff, singleton_subset_iff, mem_support_iff, coeff_add, coeff_C_mul,
coeff_X_pow_self, mul_one, coeff_X_pow, if_neg hkm, if_neg hkm.symm, mul_zero, zero_add,
add_zero, Ne, hx, hy, not_false_eq_true, and_true]
theorem support_trinomial {k m n : ℕ} (hkm : k < m) (hmn : m < n) {x y z : R} (hx : x ≠ 0)
(hy : y ≠ 0) (hz : z ≠ 0) :
support (C x * X ^ k + C y * X ^ m + C z * X ^ n) = {k, m, n} := by
apply subset_antisymm (support_trinomial' k m n x y z)
simp_rw [insert_subset_iff, singleton_subset_iff, mem_support_iff, coeff_add, coeff_C_mul,
coeff_X_pow_self, mul_one, coeff_X_pow, if_neg hkm.ne, if_neg hkm.ne', if_neg hmn.ne,
if_neg hmn.ne', if_neg (hkm.trans hmn).ne, if_neg (hkm.trans hmn).ne', mul_zero, add_zero,
zero_add, Ne, hx, hy, hz, not_false_eq_true, and_true]
theorem card_support_binomial {k m : ℕ} (h : k ≠ m) {x y : R} (hx : x ≠ 0) (hy : y ≠ 0) :
#(support (C x * X ^ k + C y * X ^ m)) = 2 := by
rw [support_binomial h hx hy, card_insert_of_not_mem (mt mem_singleton.mp h), card_singleton]
theorem card_support_trinomial {k m n : ℕ} (hkm : k < m) (hmn : m < n) {x y z : R} (hx : x ≠ 0)
(hy : y ≠ 0) (hz : z ≠ 0) : #(support (C x * X ^ k + C y * X ^ m + C z * X ^ n)) = 3 := by
rw [support_trinomial hkm hmn hx hy hz,
card_insert_of_not_mem
(mt mem_insert.mp (not_or_intro hkm.ne (mt mem_singleton.mp (hkm.trans hmn).ne))),
card_insert_of_not_mem (mt mem_singleton.mp hmn.ne), card_singleton]
end Fewnomials
@[simp]
theorem coeff_mul_X_pow (p : R[X]) (n d : ℕ) :
coeff (p * Polynomial.X ^ n) (d + n) = coeff p d := by
rw [coeff_mul, Finset.sum_eq_single (d, n), coeff_X_pow, if_pos rfl, mul_one]
· rintro ⟨i, j⟩ h1 h2
rw [coeff_X_pow, if_neg, mul_zero]
rintro rfl
apply h2
rw [mem_antidiagonal, add_right_cancel_iff] at h1
subst h1
rfl
· exact fun h1 => (h1 (mem_antidiagonal.2 rfl)).elim
@[simp]
theorem coeff_X_pow_mul (p : R[X]) (n d : ℕ) :
coeff (Polynomial.X ^ n * p) (d + n) = coeff p d := by
rw [(commute_X_pow p n).eq, coeff_mul_X_pow]
theorem coeff_mul_X_pow' (p : R[X]) (n d : ℕ) :
(p * X ^ n).coeff d = ite (n ≤ d) (p.coeff (d - n)) 0 := by
split_ifs with h
· rw [← tsub_add_cancel_of_le h, coeff_mul_X_pow, add_tsub_cancel_right]
· refine (coeff_mul _ _ _).trans (Finset.sum_eq_zero fun x hx => ?_)
rw [coeff_X_pow, if_neg, mul_zero]
exact ((le_of_add_le_right (mem_antidiagonal.mp hx).le).trans_lt <| not_le.mp h).ne
theorem coeff_X_pow_mul' (p : R[X]) (n d : ℕ) :
(X ^ n * p).coeff d = ite (n ≤ d) (p.coeff (d - n)) 0 := by
rw [(commute_X_pow p n).eq, coeff_mul_X_pow']
@[simp]
theorem coeff_mul_X (p : R[X]) (n : ℕ) : coeff (p * X) (n + 1) = coeff p n := by
simpa only [pow_one] using coeff_mul_X_pow p 1 n
@[simp]
theorem coeff_X_mul (p : R[X]) (n : ℕ) : coeff (X * p) (n + 1) = coeff p n := by
rw [(commute_X p).eq, coeff_mul_X]
theorem coeff_mul_monomial (p : R[X]) (n d : ℕ) (r : R) :
coeff (p * monomial n r) (d + n) = coeff p d * r := by
rw [← C_mul_X_pow_eq_monomial, ← X_pow_mul, ← mul_assoc, coeff_mul_C, coeff_mul_X_pow]
theorem coeff_monomial_mul (p : R[X]) (n d : ℕ) (r : R) :
coeff (monomial n r * p) (d + n) = r * coeff p d := by
rw [← C_mul_X_pow_eq_monomial, mul_assoc, coeff_C_mul, X_pow_mul, coeff_mul_X_pow]
-- This can already be proved by `simp`.
theorem coeff_mul_monomial_zero (p : R[X]) (d : ℕ) (r : R) :
coeff (p * monomial 0 r) d = coeff p d * r :=
coeff_mul_monomial p 0 d r
-- This can already be proved by `simp`.
theorem coeff_monomial_zero_mul (p : R[X]) (d : ℕ) (r : R) :
coeff (monomial 0 r * p) d = r * coeff p d :=
coeff_monomial_mul p 0 d r
theorem mul_X_pow_eq_zero {p : R[X]} {n : ℕ} (H : p * X ^ n = 0) : p = 0 :=
ext fun k => (coeff_mul_X_pow p n k).symm.trans <| ext_iff.1 H (k + n)
theorem isRegular_X_pow (n : ℕ) : IsRegular (X ^ n : R[X]) := by
suffices IsLeftRegular (X^n : R[X]) from
⟨this, this.right_of_commute (fun p => commute_X_pow p n)⟩
intro P Q (hPQ : X^n * P = X^n * Q)
ext i
rw [← coeff_X_pow_mul P n i, hPQ, coeff_X_pow_mul Q n i]
@[simp] theorem isRegular_X : IsRegular (X : R[X]) := pow_one (X : R[X]) ▸ isRegular_X_pow 1
theorem coeff_X_add_C_pow (r : R) (n k : ℕ) :
((X + C r) ^ n).coeff k = r ^ (n - k) * (n.choose k : R) := by
rw [(commute_X (C r : R[X])).add_pow, ← lcoeff_apply, map_sum]
simp only [one_pow, mul_one, lcoeff_apply, ← C_eq_natCast, ← C_pow, coeff_mul_C, Nat.cast_id]
rw [Finset.sum_eq_single k, coeff_X_pow_self, one_mul]
· intro _ _ h
simp [coeff_X_pow, h.symm]
· simp only [coeff_X_pow_self, one_mul, not_lt, Finset.mem_range]
intro h
rw [Nat.choose_eq_zero_of_lt h, Nat.cast_zero, mul_zero]
theorem coeff_X_add_one_pow (R : Type*) [Semiring R] (n k : ℕ) :
((X + 1) ^ n).coeff k = (n.choose k : R) := by rw [← C_1, coeff_X_add_C_pow, one_pow, one_mul]
theorem coeff_one_add_X_pow (R : Type*) [Semiring R] (n k : ℕ) :
((1 + X) ^ n).coeff k = (n.choose k : R) := by rw [add_comm _ X, coeff_X_add_one_pow]
theorem C_dvd_iff_dvd_coeff (r : R) (φ : R[X]) : C r ∣ φ ↔ ∀ i, r ∣ φ.coeff i := by
constructor
· rintro ⟨φ, rfl⟩ c
rw [coeff_C_mul]
apply dvd_mul_right
· intro h
choose c hc using h
classical
let c' : ℕ → R := fun i => if i ∈ φ.support then c i else 0
let ψ : R[X] := ∑ i ∈ φ.support, monomial i (c' i)
use ψ
ext i
simp only [c', ψ, coeff_C_mul, mem_support_iff, coeff_monomial, finset_sum_coeff,
Finset.sum_ite_eq']
split_ifs with hi
· rw [hc]
· rw [Classical.not_not] at hi
rwa [mul_zero]
theorem smul_eq_C_mul (a : R) : a • p = C a * p := by simp [ext_iff]
theorem update_eq_add_sub_coeff {R : Type*} [Ring R] (p : R[X]) (n : ℕ) (a : R) :
p.update n a = p + Polynomial.C (a - p.coeff n) * Polynomial.X ^ n := by
ext
rw [coeff_update_apply, coeff_add, coeff_C_mul_X_pow]
split_ifs with h <;> simp [h]
end Coeff
section cast
theorem natCast_coeff_zero {n : ℕ} {R : Type*} [Semiring R] : (n : R[X]).coeff 0 = n := by
simp only [coeff_natCast_ite, ite_true]
@[norm_cast]
theorem natCast_inj {m n : ℕ} {R : Type*} [Semiring R] [CharZero R] :
(↑m : R[X]) = ↑n ↔ m = n := by
constructor
· intro h
apply_fun fun p => p.coeff 0 at h
simpa using h
· rintro rfl
rfl
@[simp]
theorem intCast_coeff_zero {i : ℤ} {R : Type*} [Ring R] : (i : R[X]).coeff 0 = i := by
cases i <;> simp
@[norm_cast]
theorem intCast_inj {m n : ℤ} {R : Type*} [Ring R] [CharZero R] : (↑m : R[X]) = ↑n ↔ m = n := by
constructor
· intro h
apply_fun fun p => p.coeff 0 at h
simpa using h
· rintro rfl
rfl
end cast
instance charZero [CharZero R] : CharZero R[X] where cast_injective _x _y := natCast_inj.mp
instance charP {p : ℕ} [CharP R p] : CharP R[X] p where
cast_eq_zero_iff n := by
rw [← CharP.cast_eq_zero_iff R, ← C_inj (R := R), map_natCast, C_0]
end Polynomial
| Mathlib/Algebra/Polynomial/Coeff.lean | 391 | 392 | |
/-
Copyright (c) 2017 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro, Floris van Doorn, Violeta Hernández Palacios
-/
import Mathlib.SetTheory.Cardinal.Arithmetic
import Mathlib.SetTheory.Ordinal.FixedPoint
/-!
# Cofinality
This file contains the definition of cofinality of an order and an ordinal number.
## Main Definitions
* `Order.cof r` is the cofinality of a reflexive order. This is the smallest cardinality of a subset
`s` that is *cofinal*, i.e. `∀ x, ∃ y ∈ s, r x y`.
* `Ordinal.cof o` is the cofinality of the ordinal `o` when viewed as a linear order.
## Main Statements
* `Cardinal.lt_power_cof`: A consequence of König's theorem stating that `c < c ^ c.ord.cof` for
`c ≥ ℵ₀`.
## Implementation Notes
* The cofinality is defined for ordinals.
If `c` is a cardinal number, its cofinality is `c.ord.cof`.
-/
noncomputable section
open Function Cardinal Set Order
open scoped Ordinal
universe u v w
variable {α : Type u} {β : Type v} {r : α → α → Prop} {s : β → β → Prop}
/-! ### Cofinality of orders -/
attribute [local instance] IsRefl.swap
namespace Order
/-- Cofinality of a reflexive order `≼`. This is the smallest cardinality
of a subset `S : Set α` such that `∀ a, ∃ b ∈ S, a ≼ b`. -/
def cof (r : α → α → Prop) : Cardinal :=
sInf { c | ∃ S : Set α, (∀ a, ∃ b ∈ S, r a b) ∧ #S = c }
/-- The set in the definition of `Order.cof` is nonempty. -/
private theorem cof_nonempty (r : α → α → Prop) [IsRefl α r] :
{ c | ∃ S : Set α, (∀ a, ∃ b ∈ S, r a b) ∧ #S = c }.Nonempty :=
⟨_, Set.univ, fun a => ⟨a, ⟨⟩, refl _⟩, rfl⟩
theorem cof_le (r : α → α → Prop) {S : Set α} (h : ∀ a, ∃ b ∈ S, r a b) : cof r ≤ #S :=
csInf_le' ⟨S, h, rfl⟩
theorem le_cof [IsRefl α r] (c : Cardinal) :
c ≤ cof r ↔ ∀ {S : Set α}, (∀ a, ∃ b ∈ S, r a b) → c ≤ #S := by
rw [cof, le_csInf_iff'' (cof_nonempty r)]
use fun H S h => H _ ⟨S, h, rfl⟩
rintro H d ⟨S, h, rfl⟩
exact H h
end Order
namespace RelIso
private theorem cof_le_lift [IsRefl β s] (f : r ≃r s) :
Cardinal.lift.{v} (Order.cof r) ≤ Cardinal.lift.{u} (Order.cof s) := by
rw [Order.cof, Order.cof, lift_sInf, lift_sInf, le_csInf_iff'' ((Order.cof_nonempty s).image _)]
rintro - ⟨-, ⟨u, H, rfl⟩, rfl⟩
apply csInf_le'
refine ⟨_, ⟨f.symm '' u, fun a => ?_, rfl⟩, lift_mk_eq'.2 ⟨(f.symm.toEquiv.image u).symm⟩⟩
rcases H (f a) with ⟨b, hb, hb'⟩
refine ⟨f.symm b, mem_image_of_mem _ hb, f.map_rel_iff.1 ?_⟩
rwa [RelIso.apply_symm_apply]
theorem cof_eq_lift [IsRefl β s] (f : r ≃r s) :
Cardinal.lift.{v} (Order.cof r) = Cardinal.lift.{u} (Order.cof s) :=
have := f.toRelEmbedding.isRefl
(f.cof_le_lift).antisymm (f.symm.cof_le_lift)
theorem cof_eq {α β : Type u} {r : α → α → Prop} {s} [IsRefl β s] (f : r ≃r s) :
Order.cof r = Order.cof s :=
lift_inj.1 (f.cof_eq_lift)
end RelIso
/-! ### Cofinality of ordinals -/
namespace Ordinal
/-- Cofinality of an ordinal. This is the smallest cardinal of a subset `S` of the ordinal which is
unbounded, in the sense `∀ a, ∃ b ∈ S, a ≤ b`.
In particular, `cof 0 = 0` and `cof (succ o) = 1`. -/
def cof (o : Ordinal.{u}) : Cardinal.{u} :=
o.liftOn (fun a ↦ Order.cof (swap a.rᶜ)) fun _ _ ⟨f⟩ ↦ f.compl.swap.cof_eq
theorem cof_type (r : α → α → Prop) [IsWellOrder α r] : (type r).cof = Order.cof (swap rᶜ) :=
rfl
theorem cof_type_lt [LinearOrder α] [IsWellOrder α (· < ·)] :
(@type α (· < ·) _).cof = @Order.cof α (· ≤ ·) := by
rw [cof_type, compl_lt, swap_ge]
theorem cof_eq_cof_toType (o : Ordinal) : o.cof = @Order.cof o.toType (· ≤ ·) := by
conv_lhs => rw [← type_toType o, cof_type_lt]
theorem le_cof_type [IsWellOrder α r] {c} : c ≤ cof (type r) ↔ ∀ S, Unbounded r S → c ≤ #S :=
(le_csInf_iff'' (Order.cof_nonempty _)).trans
⟨fun H S h => H _ ⟨S, h, rfl⟩, by
rintro H d ⟨S, h, rfl⟩
exact H _ h⟩
theorem cof_type_le [IsWellOrder α r] {S : Set α} (h : Unbounded r S) : cof (type r) ≤ #S :=
le_cof_type.1 le_rfl S h
theorem lt_cof_type [IsWellOrder α r] {S : Set α} : #S < cof (type r) → Bounded r S := by
simpa using not_imp_not.2 cof_type_le
theorem cof_eq (r : α → α → Prop) [IsWellOrder α r] : ∃ S, Unbounded r S ∧ #S = cof (type r) :=
csInf_mem (Order.cof_nonempty (swap rᶜ))
theorem ord_cof_eq (r : α → α → Prop) [IsWellOrder α r] :
∃ S, Unbounded r S ∧ type (Subrel r (· ∈ S)) = (cof (type r)).ord := by
let ⟨S, hS, e⟩ := cof_eq r
let ⟨s, _, e'⟩ := Cardinal.ord_eq S
let T : Set α := { a | ∃ aS : a ∈ S, ∀ b : S, s b ⟨_, aS⟩ → r b a }
suffices Unbounded r T by
refine ⟨T, this, le_antisymm ?_ (Cardinal.ord_le.2 <| cof_type_le this)⟩
rw [← e, e']
refine
(RelEmbedding.ofMonotone
(fun a : T =>
(⟨a,
let ⟨aS, _⟩ := a.2
aS⟩ :
S))
fun a b h => ?_).ordinal_type_le
rcases a with ⟨a, aS, ha⟩
rcases b with ⟨b, bS, hb⟩
change s ⟨a, _⟩ ⟨b, _⟩
refine ((trichotomous_of s _ _).resolve_left fun hn => ?_).resolve_left ?_
· exact asymm h (ha _ hn)
· intro e
injection e with e
subst b
exact irrefl _ h
intro a
have : { b : S | ¬r b a }.Nonempty :=
let ⟨b, bS, ba⟩ := hS a
⟨⟨b, bS⟩, ba⟩
let b := (IsWellFounded.wf : WellFounded s).min _ this
have ba : ¬r b a := IsWellFounded.wf.min_mem _ this
refine ⟨b, ⟨b.2, fun c => not_imp_not.1 fun h => ?_⟩, ba⟩
rw [show ∀ b : S, (⟨b, b.2⟩ : S) = b by intro b; cases b; rfl]
exact IsWellFounded.wf.not_lt_min _ this (IsOrderConnected.neg_trans h ba)
/-! ### Cofinality of suprema and least strict upper bounds -/
private theorem card_mem_cof {o} : ∃ (ι : _) (f : ι → Ordinal), lsub.{u, u} f = o ∧ #ι = o.card :=
⟨_, _, lsub_typein o, mk_toType o⟩
/-- The set in the `lsub` characterization of `cof` is nonempty. -/
theorem cof_lsub_def_nonempty (o) :
{ a : Cardinal | ∃ (ι : _) (f : ι → Ordinal), lsub.{u, u} f = o ∧ #ι = a }.Nonempty :=
⟨_, card_mem_cof⟩
theorem cof_eq_sInf_lsub (o : Ordinal.{u}) : cof o =
sInf { a : Cardinal | ∃ (ι : Type u) (f : ι → Ordinal), lsub.{u, u} f = o ∧ #ι = a } := by
refine le_antisymm (le_csInf (cof_lsub_def_nonempty o) ?_) (csInf_le' ?_)
· rintro a ⟨ι, f, hf, rfl⟩
rw [← type_toType o]
refine
(cof_type_le fun a => ?_).trans
(@mk_le_of_injective _ _
(fun s : typein ((· < ·) : o.toType → o.toType → Prop) ⁻¹' Set.range f =>
Classical.choose s.prop)
fun s t hst => by
let H := congr_arg f hst
rwa [Classical.choose_spec s.prop, Classical.choose_spec t.prop, typein_inj,
Subtype.coe_inj] at H)
have := typein_lt_self a
simp_rw [← hf, lt_lsub_iff] at this
obtain ⟨i, hi⟩ := this
refine ⟨enum (α := o.toType) (· < ·) ⟨f i, ?_⟩, ?_, ?_⟩
· rw [type_toType, ← hf]
apply lt_lsub
· rw [mem_preimage, typein_enum]
exact mem_range_self i
· rwa [← typein_le_typein, typein_enum]
· rcases cof_eq (α := o.toType) (· < ·) with ⟨S, hS, hS'⟩
let f : S → Ordinal := fun s => typein LT.lt s.val
refine ⟨S, f, le_antisymm (lsub_le fun i => typein_lt_self (o := o) i)
(le_of_forall_lt fun a ha => ?_), by rwa [type_toType o] at hS'⟩
rw [← type_toType o] at ha
rcases hS (enum (· < ·) ⟨a, ha⟩) with ⟨b, hb, hb'⟩
rw [← typein_le_typein, typein_enum] at hb'
exact hb'.trans_lt (lt_lsub.{u, u} f ⟨b, hb⟩)
@[simp]
theorem lift_cof (o) : Cardinal.lift.{u, v} (cof o) = cof (Ordinal.lift.{u, v} o) := by
refine inductionOn o fun α r _ ↦ ?_
rw [← type_uLift, cof_type, cof_type, ← Cardinal.lift_id'.{v, u} (Order.cof _),
← Cardinal.lift_umax]
apply RelIso.cof_eq_lift ⟨Equiv.ulift.symm, _⟩
simp [swap]
theorem cof_le_card (o) : cof o ≤ card o := by
rw [cof_eq_sInf_lsub]
exact csInf_le' card_mem_cof
theorem cof_ord_le (c : Cardinal) : c.ord.cof ≤ c := by simpa using cof_le_card c.ord
theorem ord_cof_le (o : Ordinal.{u}) : o.cof.ord ≤ o :=
(ord_le_ord.2 (cof_le_card o)).trans (ord_card_le o)
theorem exists_lsub_cof (o : Ordinal) :
∃ (ι : _) (f : ι → Ordinal), lsub.{u, u} f = o ∧ #ι = cof o := by
rw [cof_eq_sInf_lsub]
exact csInf_mem (cof_lsub_def_nonempty o)
theorem cof_lsub_le {ι} (f : ι → Ordinal) : cof (lsub.{u, u} f) ≤ #ι := by
rw [cof_eq_sInf_lsub]
exact csInf_le' ⟨ι, f, rfl, rfl⟩
theorem cof_lsub_le_lift {ι} (f : ι → Ordinal) :
cof (lsub.{u, v} f) ≤ Cardinal.lift.{v, u} #ι := by
rw [← mk_uLift.{u, v}]
convert cof_lsub_le.{max u v} fun i : ULift.{v, u} ι => f i.down
exact
lsub_eq_of_range_eq.{u, max u v, max u v}
(Set.ext fun x => ⟨fun ⟨i, hi⟩ => ⟨ULift.up.{v, u} i, hi⟩, fun ⟨i, hi⟩ => ⟨_, hi⟩⟩)
theorem le_cof_iff_lsub {o : Ordinal} {a : Cardinal} :
a ≤ cof o ↔ ∀ {ι} (f : ι → Ordinal), lsub.{u, u} f = o → a ≤ #ι := by
rw [cof_eq_sInf_lsub]
exact
(le_csInf_iff'' (cof_lsub_def_nonempty o)).trans
⟨fun H ι f hf => H _ ⟨ι, f, hf, rfl⟩, fun H b ⟨ι, f, hf, hb⟩ => by
rw [← hb]
exact H _ hf⟩
theorem lsub_lt_ord_lift {ι} {f : ι → Ordinal} {c : Ordinal}
(hι : Cardinal.lift.{v, u} #ι < c.cof)
(hf : ∀ i, f i < c) : lsub.{u, v} f < c :=
lt_of_le_of_ne (lsub_le hf) fun h => by
subst h
exact (cof_lsub_le_lift.{u, v} f).not_lt hι
theorem lsub_lt_ord {ι} {f : ι → Ordinal} {c : Ordinal} (hι : #ι < c.cof) :
(∀ i, f i < c) → lsub.{u, u} f < c :=
lsub_lt_ord_lift (by rwa [(#ι).lift_id])
theorem cof_iSup_le_lift {ι} {f : ι → Ordinal} (H : ∀ i, f i < iSup f) :
cof (iSup f) ≤ Cardinal.lift.{v, u} #ι := by
rw [← Ordinal.sup] at *
rw [← sup_eq_lsub_iff_lt_sup.{u, v}] at H
rw [H]
exact cof_lsub_le_lift f
theorem cof_iSup_le {ι} {f : ι → Ordinal} (H : ∀ i, f i < iSup f) :
cof (iSup f) ≤ #ι := by
rw [← (#ι).lift_id]
exact cof_iSup_le_lift H
theorem iSup_lt_ord_lift {ι} {f : ι → Ordinal} {c : Ordinal} (hι : Cardinal.lift.{v, u} #ι < c.cof)
(hf : ∀ i, f i < c) : iSup f < c :=
(sup_le_lsub.{u, v} f).trans_lt (lsub_lt_ord_lift hι hf)
theorem iSup_lt_ord {ι} {f : ι → Ordinal} {c : Ordinal} (hι : #ι < c.cof) :
(∀ i, f i < c) → iSup f < c :=
iSup_lt_ord_lift (by rwa [(#ι).lift_id])
theorem iSup_lt_lift {ι} {f : ι → Cardinal} {c : Cardinal}
(hι : Cardinal.lift.{v, u} #ι < c.ord.cof)
(hf : ∀ i, f i < c) : iSup f < c := by
rw [← ord_lt_ord, iSup_ord (Cardinal.bddAbove_range _)]
refine iSup_lt_ord_lift hι fun i => ?_
rw [ord_lt_ord]
apply hf
theorem iSup_lt {ι} {f : ι → Cardinal} {c : Cardinal} (hι : #ι < c.ord.cof) :
(∀ i, f i < c) → iSup f < c :=
iSup_lt_lift (by rwa [(#ι).lift_id])
theorem nfpFamily_lt_ord_lift {ι} {f : ι → Ordinal → Ordinal} {c} (hc : ℵ₀ < cof c)
(hc' : Cardinal.lift.{v, u} #ι < cof c) (hf : ∀ (i), ∀ b < c, f i b < c) {a} (ha : a < c) :
nfpFamily f a < c := by
refine iSup_lt_ord_lift ((Cardinal.lift_le.2 (mk_list_le_max ι)).trans_lt ?_) fun l => ?_
· rw [lift_max]
apply max_lt _ hc'
rwa [Cardinal.lift_aleph0]
· induction' l with i l H
· exact ha
· exact hf _ _ H
theorem nfpFamily_lt_ord {ι} {f : ι → Ordinal → Ordinal} {c} (hc : ℵ₀ < cof c) (hc' : #ι < cof c)
(hf : ∀ (i), ∀ b < c, f i b < c) {a} : a < c → nfpFamily.{u, u} f a < c :=
nfpFamily_lt_ord_lift hc (by rwa [(#ι).lift_id]) hf
theorem nfp_lt_ord {f : Ordinal → Ordinal} {c} (hc : ℵ₀ < cof c) (hf : ∀ i < c, f i < c) {a} :
a < c → nfp f a < c :=
nfpFamily_lt_ord_lift hc (by simpa using Cardinal.one_lt_aleph0.trans hc) fun _ => hf
theorem exists_blsub_cof (o : Ordinal) :
∃ f : ∀ a < (cof o).ord, Ordinal, blsub.{u, u} _ f = o := by
rcases exists_lsub_cof o with ⟨ι, f, hf, hι⟩
rcases Cardinal.ord_eq ι with ⟨r, hr, hι'⟩
rw [← @blsub_eq_lsub' ι r hr] at hf
rw [← hι, hι']
exact ⟨_, hf⟩
theorem le_cof_iff_blsub {b : Ordinal} {a : Cardinal} :
a ≤ cof b ↔ ∀ {o} (f : ∀ a < o, Ordinal), blsub.{u, u} o f = b → a ≤ o.card :=
le_cof_iff_lsub.trans
⟨fun H o f hf => by simpa using H _ hf, fun H ι f hf => by
rcases Cardinal.ord_eq ι with ⟨r, hr, hι'⟩
rw [← @blsub_eq_lsub' ι r hr] at hf
simpa using H _ hf⟩
theorem cof_blsub_le_lift {o} (f : ∀ a < o, Ordinal) :
cof (blsub.{u, v} o f) ≤ Cardinal.lift.{v, u} o.card := by
rw [← mk_toType o]
exact cof_lsub_le_lift _
theorem cof_blsub_le {o} (f : ∀ a < o, Ordinal) : cof (blsub.{u, u} o f) ≤ o.card := by
rw [← o.card.lift_id]
exact cof_blsub_le_lift f
theorem blsub_lt_ord_lift {o : Ordinal.{u}} {f : ∀ a < o, Ordinal} {c : Ordinal}
(ho : Cardinal.lift.{v, u} o.card < c.cof) (hf : ∀ i hi, f i hi < c) : blsub.{u, v} o f < c :=
lt_of_le_of_ne (blsub_le hf) fun h =>
ho.not_le (by simpa [← iSup_ord, hf, h] using cof_blsub_le_lift.{u, v} f)
theorem blsub_lt_ord {o : Ordinal} {f : ∀ a < o, Ordinal} {c : Ordinal} (ho : o.card < c.cof)
(hf : ∀ i hi, f i hi < c) : blsub.{u, u} o f < c :=
blsub_lt_ord_lift (by rwa [o.card.lift_id]) hf
theorem cof_bsup_le_lift {o : Ordinal} {f : ∀ a < o, Ordinal} (H : ∀ i h, f i h < bsup.{u, v} o f) :
cof (bsup.{u, v} o f) ≤ Cardinal.lift.{v, u} o.card := by
rw [← bsup_eq_blsub_iff_lt_bsup.{u, v}] at H
rw [H]
exact cof_blsub_le_lift.{u, v} f
theorem cof_bsup_le {o : Ordinal} {f : ∀ a < o, Ordinal} :
(∀ i h, f i h < bsup.{u, u} o f) → cof (bsup.{u, u} o f) ≤ o.card := by
rw [← o.card.lift_id]
exact cof_bsup_le_lift
theorem bsup_lt_ord_lift {o : Ordinal} {f : ∀ a < o, Ordinal} {c : Ordinal}
(ho : Cardinal.lift.{v, u} o.card < c.cof) (hf : ∀ i hi, f i hi < c) : bsup.{u, v} o f < c :=
(bsup_le_blsub f).trans_lt (blsub_lt_ord_lift ho hf)
theorem bsup_lt_ord {o : Ordinal} {f : ∀ a < o, Ordinal} {c : Ordinal} (ho : o.card < c.cof) :
(∀ i hi, f i hi < c) → bsup.{u, u} o f < c :=
bsup_lt_ord_lift (by rwa [o.card.lift_id])
/-! ### Basic results -/
@[simp]
theorem cof_zero : cof 0 = 0 := by
refine LE.le.antisymm ?_ (Cardinal.zero_le _)
rw [← card_zero]
exact cof_le_card 0
@[simp]
theorem cof_eq_zero {o} : cof o = 0 ↔ o = 0 :=
⟨inductionOn o fun _ r _ z =>
let ⟨_, hl, e⟩ := cof_eq r
type_eq_zero_iff_isEmpty.2 <|
⟨fun a =>
let ⟨_, h, _⟩ := hl a
(mk_eq_zero_iff.1 (e.trans z)).elim' ⟨_, h⟩⟩,
fun e => by simp [e]⟩
theorem cof_ne_zero {o} : cof o ≠ 0 ↔ o ≠ 0 :=
cof_eq_zero.not
@[simp]
theorem cof_succ (o) : cof (succ o) = 1 := by
apply le_antisymm
· refine inductionOn o fun α r _ => ?_
change cof (type _) ≤ _
rw [← (_ : #_ = 1)]
· apply cof_type_le
refine fun a => ⟨Sum.inr PUnit.unit, Set.mem_singleton _, ?_⟩
rcases a with (a | ⟨⟨⟨⟩⟩⟩) <;> simp [EmptyRelation]
· rw [Cardinal.mk_fintype, Set.card_singleton]
simp
· rw [← Cardinal.succ_zero, succ_le_iff]
simpa [lt_iff_le_and_ne, Cardinal.zero_le] using fun h =>
succ_ne_zero o (cof_eq_zero.1 (Eq.symm h))
@[simp]
theorem cof_eq_one_iff_is_succ {o} : cof.{u} o = 1 ↔ ∃ a, o = succ a :=
⟨inductionOn o fun α r _ z => by
rcases cof_eq r with ⟨S, hl, e⟩; rw [z] at e
obtain ⟨a⟩ := mk_ne_zero_iff.1 (by rw [e]; exact one_ne_zero)
refine
⟨typein r a,
Eq.symm <|
Quotient.sound
⟨RelIso.ofSurjective (RelEmbedding.ofMonotone ?_ fun x y => ?_) fun x => ?_⟩⟩
· apply Sum.rec <;> [exact Subtype.val; exact fun _ => a]
· rcases x with (x | ⟨⟨⟨⟩⟩⟩) <;> rcases y with (y | ⟨⟨⟨⟩⟩⟩) <;>
simp [Subrel, Order.Preimage, EmptyRelation]
exact x.2
· suffices r x a ∨ ∃ _ : PUnit.{u}, ↑a = x by
convert this
dsimp [RelEmbedding.ofMonotone]; simp
rcases trichotomous_of r x a with (h | h | h)
· exact Or.inl h
· exact Or.inr ⟨PUnit.unit, h.symm⟩
· rcases hl x with ⟨a', aS, hn⟩
refine absurd h ?_
convert hn
change (a : α) = ↑(⟨a', aS⟩ : S)
have := le_one_iff_subsingleton.1 (le_of_eq e)
congr!,
fun ⟨a, e⟩ => by simp [e]⟩
/-! ### Fundamental sequences -/
-- TODO: move stuff about fundamental sequences to their own file.
/-- A fundamental sequence for `a` is an increasing sequence of length `o = cof a` that converges at
`a`. We provide `o` explicitly in order to avoid type rewrites. -/
def IsFundamentalSequence (a o : Ordinal.{u}) (f : ∀ b < o, Ordinal.{u}) : Prop :=
o ≤ a.cof.ord ∧ (∀ {i j} (hi hj), i < j → f i hi < f j hj) ∧ blsub.{u, u} o f = a
namespace IsFundamentalSequence
variable {a o : Ordinal.{u}} {f : ∀ b < o, Ordinal.{u}}
protected theorem cof_eq (hf : IsFundamentalSequence a o f) : a.cof.ord = o :=
hf.1.antisymm' <| by
rw [← hf.2.2]
exact (ord_le_ord.2 (cof_blsub_le f)).trans (ord_card_le o)
protected theorem strict_mono (hf : IsFundamentalSequence a o f) {i j} :
∀ hi hj, i < j → f i hi < f j hj :=
hf.2.1
theorem blsub_eq (hf : IsFundamentalSequence a o f) : blsub.{u, u} o f = a :=
hf.2.2
theorem ord_cof (hf : IsFundamentalSequence a o f) :
IsFundamentalSequence a a.cof.ord fun i hi => f i (hi.trans_le (by rw [hf.cof_eq])) := by
have H := hf.cof_eq
subst H
exact hf
theorem id_of_le_cof (h : o ≤ o.cof.ord) : IsFundamentalSequence o o fun a _ => a :=
⟨h, @fun _ _ _ _ => id, blsub_id o⟩
protected theorem zero {f : ∀ b < (0 : Ordinal), Ordinal} : IsFundamentalSequence 0 0 f :=
⟨by rw [cof_zero, ord_zero], @fun i _ hi => (Ordinal.not_lt_zero i hi).elim, blsub_zero f⟩
protected theorem succ : IsFundamentalSequence (succ o) 1 fun _ _ => o := by
refine ⟨?_, @fun i j hi hj h => ?_, blsub_const Ordinal.one_ne_zero o⟩
· rw [cof_succ, ord_one]
· rw [lt_one_iff_zero] at hi hj
rw [hi, hj] at h
exact h.false.elim
protected theorem monotone (hf : IsFundamentalSequence a o f) {i j : Ordinal} (hi : i < o)
(hj : j < o) (hij : i ≤ j) : f i hi ≤ f j hj := by
rcases lt_or_eq_of_le hij with (hij | rfl)
· exact (hf.2.1 hi hj hij).le
· rfl
theorem trans {a o o' : Ordinal.{u}} {f : ∀ b < o, Ordinal.{u}} (hf : IsFundamentalSequence a o f)
{g : ∀ b < o', Ordinal.{u}} (hg : IsFundamentalSequence o o' g) :
IsFundamentalSequence a o' fun i hi =>
f (g i hi) (by rw [← hg.2.2]; apply lt_blsub) := by
refine ⟨?_, @fun i j _ _ h => hf.2.1 _ _ (hg.2.1 _ _ h), ?_⟩
· rw [hf.cof_eq]
exact hg.1.trans (ord_cof_le o)
· rw [@blsub_comp.{u, u, u} o _ f (@IsFundamentalSequence.monotone _ _ f hf)]
· exact hf.2.2
· exact hg.2.2
protected theorem lt {a o : Ordinal} {s : Π p < o, Ordinal}
(h : IsFundamentalSequence a o s) {p : Ordinal} (hp : p < o) : s p hp < a :=
h.blsub_eq ▸ lt_blsub s p hp
end IsFundamentalSequence
/-- Every ordinal has a fundamental sequence. -/
theorem exists_fundamental_sequence (a : Ordinal.{u}) :
∃ f, IsFundamentalSequence a a.cof.ord f := by
suffices h : ∃ o f, IsFundamentalSequence a o f by
rcases h with ⟨o, f, hf⟩
exact ⟨_, hf.ord_cof⟩
rcases exists_lsub_cof a with ⟨ι, f, hf, hι⟩
rcases ord_eq ι with ⟨r, wo, hr⟩
haveI := wo
let r' := Subrel r fun i ↦ ∀ j, r j i → f j < f i
let hrr' : r' ↪r r := Subrel.relEmbedding _ _
haveI := hrr'.isWellOrder
refine
⟨_, _, hrr'.ordinal_type_le.trans ?_, @fun i j _ h _ => (enum r' ⟨j, h⟩).prop _ ?_,
le_antisymm (blsub_le fun i hi => lsub_le_iff.1 hf.le _) ?_⟩
· rw [← hι, hr]
· change r (hrr'.1 _) (hrr'.1 _)
rwa [hrr'.2, @enum_lt_enum _ r']
· rw [← hf, lsub_le_iff]
intro i
suffices h : ∃ i' hi', f i ≤ bfamilyOfFamily' r' (fun i => f i) i' hi' by
rcases h with ⟨i', hi', hfg⟩
exact hfg.trans_lt (lt_blsub _ _ _)
by_cases h : ∀ j, r j i → f j < f i
· refine ⟨typein r' ⟨i, h⟩, typein_lt_type _ _, ?_⟩
rw [bfamilyOfFamily'_typein]
· push_neg at h
obtain ⟨hji, hij⟩ := wo.wf.min_mem _ h
refine ⟨typein r' ⟨_, fun k hkj => lt_of_lt_of_le ?_ hij⟩, typein_lt_type _ _, ?_⟩
· by_contra! H
exact (wo.wf.not_lt_min _ h ⟨IsTrans.trans _ _ _ hkj hji, H⟩) hkj
· rwa [bfamilyOfFamily'_typein]
@[simp]
theorem cof_cof (a : Ordinal.{u}) : cof (cof a).ord = cof a := by
obtain ⟨f, hf⟩ := exists_fundamental_sequence a
obtain ⟨g, hg⟩ := exists_fundamental_sequence a.cof.ord
exact ord_injective (hf.trans hg).cof_eq.symm
protected theorem IsNormal.isFundamentalSequence {f : Ordinal.{u} → Ordinal.{u}} (hf : IsNormal f)
{a o} (ha : IsLimit a) {g} (hg : IsFundamentalSequence a o g) :
IsFundamentalSequence (f a) o fun b hb => f (g b hb) := by
refine ⟨?_, @fun i j _ _ h => hf.strictMono (hg.2.1 _ _ h), ?_⟩
· rcases exists_lsub_cof (f a) with ⟨ι, f', hf', hι⟩
rw [← hg.cof_eq, ord_le_ord, ← hι]
suffices (lsub.{u, u} fun i => sInf { b : Ordinal | f' i ≤ f b }) = a by
rw [← this]
apply cof_lsub_le
have H : ∀ i, ∃ b < a, f' i ≤ f b := fun i => by
have := lt_lsub.{u, u} f' i
rw [hf', ← IsNormal.blsub_eq.{u, u} hf ha, lt_blsub_iff] at this
simpa using this
refine (lsub_le fun i => ?_).antisymm (le_of_forall_lt fun b hb => ?_)
· rcases H i with ⟨b, hb, hb'⟩
exact lt_of_le_of_lt (csInf_le' hb') hb
· have := hf.strictMono hb
rw [← hf', lt_lsub_iff] at this
obtain ⟨i, hi⟩ := this
rcases H i with ⟨b, _, hb⟩
exact
((le_csInf_iff'' ⟨b, by exact hb⟩).2 fun c hc =>
hf.strictMono.le_iff_le.1 (hi.trans hc)).trans_lt (lt_lsub _ i)
· rw [@blsub_comp.{u, u, u} a _ (fun b _ => f b) (@fun i j _ _ h => hf.strictMono.monotone h) g
hg.2.2]
exact IsNormal.blsub_eq.{u, u} hf ha
theorem IsNormal.cof_eq {f} (hf : IsNormal f) {a} (ha : IsLimit a) : cof (f a) = cof a :=
let ⟨_, hg⟩ := exists_fundamental_sequence a
ord_injective (hf.isFundamentalSequence ha hg).cof_eq
theorem IsNormal.cof_le {f} (hf : IsNormal f) (a) : cof a ≤ cof (f a) := by
rcases zero_or_succ_or_limit a with (rfl | ⟨b, rfl⟩ | ha)
· rw [cof_zero]
exact zero_le _
· rw [cof_succ, Cardinal.one_le_iff_ne_zero, cof_ne_zero, ← Ordinal.pos_iff_ne_zero]
exact (Ordinal.zero_le (f b)).trans_lt (hf.1 b)
· rw [hf.cof_eq ha]
@[simp]
theorem cof_add (a b : Ordinal) : b ≠ 0 → cof (a + b) = cof b := fun h => by
rcases zero_or_succ_or_limit b with (rfl | ⟨c, rfl⟩ | hb)
· contradiction
· rw [add_succ, cof_succ, cof_succ]
· exact (isNormal_add_right a).cof_eq hb
theorem aleph0_le_cof {o} : ℵ₀ ≤ cof o ↔ IsLimit o := by
rcases zero_or_succ_or_limit o with (rfl | ⟨o, rfl⟩ | l)
· simp [not_zero_isLimit, Cardinal.aleph0_ne_zero]
· simp [not_succ_isLimit, Cardinal.one_lt_aleph0]
· simp only [l, iff_true]
refine le_of_not_lt fun h => ?_
obtain ⟨n, e⟩ := Cardinal.lt_aleph0.1 h
have := cof_cof o
rw [e, ord_nat] at this
cases n
· simp at e
simp [e, not_zero_isLimit] at l
· rw [natCast_succ, cof_succ] at this
rw [← this, cof_eq_one_iff_is_succ] at e
rcases e with ⟨a, rfl⟩
exact not_succ_isLimit _ l
@[simp]
theorem cof_preOmega {o : Ordinal} (ho : IsSuccPrelimit o) : (preOmega o).cof = o.cof := by
by_cases h : IsMin o
· simp [h.eq_bot]
· exact isNormal_preOmega.cof_eq ⟨h, ho⟩
@[simp]
theorem cof_omega {o : Ordinal} (ho : o.IsLimit) : (ω_ o).cof = o.cof :=
isNormal_omega.cof_eq ho
@[simp]
theorem cof_omega0 : cof ω = ℵ₀ :=
(aleph0_le_cof.2 isLimit_omega0).antisymm' <| by
rw [← card_omega0]
apply cof_le_card
theorem cof_eq' (r : α → α → Prop) [IsWellOrder α r] (h : IsLimit (type r)) :
∃ S : Set α, (∀ a, ∃ b ∈ S, r a b) ∧ #S = cof (type r) :=
let ⟨S, H, e⟩ := cof_eq r
⟨S, fun a =>
let a' := enum r ⟨_, h.succ_lt (typein_lt_type r a)⟩
let ⟨b, h, ab⟩ := H a'
⟨b, h,
(IsOrderConnected.conn a b a' <|
(typein_lt_typein r).1
(by
rw [typein_enum]
exact lt_succ (typein _ _))).resolve_right
ab⟩,
e⟩
@[simp]
theorem cof_univ : cof univ.{u, v} = Cardinal.univ.{u, v} :=
le_antisymm (cof_le_card _)
(by
refine le_of_forall_lt fun c h => ?_
rcases lt_univ'.1 h with ⟨c, rfl⟩
rcases @cof_eq Ordinal.{u} (· < ·) _ with ⟨S, H, Se⟩
rw [univ, ← lift_cof, ← Cardinal.lift_lift.{u+1, v, u}, Cardinal.lift_lt, ← Se]
refine lt_of_not_ge fun h => ?_
obtain ⟨a, e⟩ := Cardinal.mem_range_lift_of_le h
refine Quotient.inductionOn a (fun α e => ?_) e
obtain ⟨f⟩ := Quotient.exact e
have f := Equiv.ulift.symm.trans f
let g a := (f a).1
let o := succ (iSup g)
rcases H o with ⟨b, h, l⟩
refine l (lt_succ_iff.2 ?_)
rw [← show g (f.symm ⟨b, h⟩) = b by simp [g]]
apply Ordinal.le_iSup)
end Ordinal
namespace Cardinal
open Ordinal
/-! ### Results on sets -/
theorem mk_bounded_subset {α : Type*} (h : ∀ x < #α, 2 ^ x < #α) {r : α → α → Prop}
[IsWellOrder α r] (hr : (#α).ord = type r) : #{ s : Set α // Bounded r s } = #α := by
rcases eq_or_ne #α 0 with (ha | ha)
· rw [ha]
haveI := mk_eq_zero_iff.1 ha
rw [mk_eq_zero_iff]
constructor
rintro ⟨s, hs⟩
exact (not_unbounded_iff s).2 hs (unbounded_of_isEmpty s)
have h' : IsStrongLimit #α := ⟨ha, @h⟩
have ha := h'.aleph0_le
apply le_antisymm
· have : { s : Set α | Bounded r s } = ⋃ i, 𝒫{ j | r j i } := setOf_exists _
rw [← coe_setOf, this]
refine mk_iUnion_le_sum_mk.trans ((sum_le_iSup (fun i => #(𝒫{ j | r j i }))).trans
((mul_le_max_of_aleph0_le_left ha).trans ?_))
rw [max_eq_left]
apply ciSup_le' _
intro i
rw [mk_powerset]
apply (h'.two_power_lt _).le
rw [coe_setOf, card_typein, ← lt_ord, hr]
apply typein_lt_type
· refine @mk_le_of_injective α _ (fun x => Subtype.mk {x} ?_) ?_
· apply bounded_singleton
rw [← hr]
apply isLimit_ord ha
· intro a b hab
simpa [singleton_eq_singleton_iff] using hab
theorem mk_subset_mk_lt_cof {α : Type*} (h : ∀ x < #α, 2 ^ x < #α) :
#{ s : Set α // #s < cof (#α).ord } = #α := by
rcases eq_or_ne #α 0 with (ha | ha)
· simp [ha]
have h' : IsStrongLimit #α := ⟨ha, @h⟩
rcases ord_eq α with ⟨r, wo, hr⟩
haveI := wo
apply le_antisymm
· conv_rhs => rw [← mk_bounded_subset h hr]
apply mk_le_mk_of_subset
intro s hs
rw [hr] at hs
exact lt_cof_type hs
· refine @mk_le_of_injective α _ (fun x => Subtype.mk {x} ?_) ?_
· rw [mk_singleton]
exact one_lt_aleph0.trans_le (aleph0_le_cof.2 (isLimit_ord h'.aleph0_le))
· intro a b hab
simpa [singleton_eq_singleton_iff] using hab
/-- If the union of s is unbounded and s is smaller than the cofinality,
then s has an unbounded member -/
theorem unbounded_of_unbounded_sUnion (r : α → α → Prop) [wo : IsWellOrder α r] {s : Set (Set α)}
(h₁ : Unbounded r <| ⋃₀ s) (h₂ : #s < Order.cof (swap rᶜ)) : ∃ x ∈ s, Unbounded r x := by
by_contra! h
simp_rw [not_unbounded_iff] at h
let f : s → α := fun x : s => wo.wf.sup x (h x.1 x.2)
refine h₂.not_le (le_trans (csInf_le' ⟨range f, fun x => ?_, rfl⟩) mk_range_le)
rcases h₁ x with ⟨y, ⟨c, hc, hy⟩, hxy⟩
exact ⟨f ⟨c, hc⟩, mem_range_self _, fun hxz => hxy (Trans.trans (wo.wf.lt_sup _ hy) hxz)⟩
/-- If the union of s is unbounded and s is smaller than the cofinality,
then s has an unbounded member -/
theorem unbounded_of_unbounded_iUnion {α β : Type u} (r : α → α → Prop) [wo : IsWellOrder α r]
(s : β → Set α) (h₁ : Unbounded r <| ⋃ x, s x) (h₂ : #β < Order.cof (swap rᶜ)) :
∃ x : β, Unbounded r (s x) := by
rw [← sUnion_range] at h₁
rcases unbounded_of_unbounded_sUnion r h₁ (mk_range_le.trans_lt h₂) with ⟨_, ⟨x, rfl⟩, u⟩
exact ⟨x, u⟩
/-! ### Consequences of König's lemma -/
theorem lt_power_cof {c : Cardinal.{u}} : ℵ₀ ≤ c → c < c ^ c.ord.cof :=
Cardinal.inductionOn c fun α h => by
rcases ord_eq α with ⟨r, wo, re⟩
have := isLimit_ord h
rw [re] at this ⊢
rcases cof_eq' r this with ⟨S, H, Se⟩
have := sum_lt_prod (fun a : S => #{ x // r x a }) (fun _ => #α) fun i => ?_
· simp only [Cardinal.prod_const, Cardinal.lift_id, ← Se, ← mk_sigma, power_def] at this ⊢
refine lt_of_le_of_lt ?_ this
refine ⟨Embedding.ofSurjective ?_ ?_⟩
· exact fun x => x.2.1
· exact fun a =>
let ⟨b, h, ab⟩ := H a
⟨⟨⟨_, h⟩, _, ab⟩, rfl⟩
· have := typein_lt_type r i
rwa [← re, lt_ord] at this
theorem lt_cof_power {a b : Cardinal} (ha : ℵ₀ ≤ a) (b1 : 1 < b) : a < (b ^ a).ord.cof := by
have b0 : b ≠ 0 := (zero_lt_one.trans b1).ne'
apply lt_imp_lt_of_le_imp_le (power_le_power_left <| power_ne_zero a b0)
rw [← power_mul, mul_eq_self ha]
exact lt_power_cof (ha.trans <| (cantor' _ b1).le)
end Cardinal
| Mathlib/SetTheory/Cardinal/Cofinality.lean | 1,062 | 1,064 | |
/-
Copyright (c) 2014 Jeremy Avigad. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jeremy Avigad, Leonardo de Moura, Simon Hudon, Mario Carneiro
-/
import Aesop
import Mathlib.Algebra.Group.Defs
import Mathlib.Data.Nat.Init
import Mathlib.Data.Int.Init
import Mathlib.Logic.Function.Iterate
import Mathlib.Tactic.SimpRw
import Mathlib.Tactic.SplitIfs
/-!
# Basic lemmas about semigroups, monoids, and groups
This file lists various basic lemmas about semigroups, monoids, and groups. Most proofs are
one-liners from the corresponding axioms. For the definitions of semigroups, monoids and groups, see
`Algebra/Group/Defs.lean`.
-/
assert_not_exists MonoidWithZero DenselyOrdered
open Function
variable {α β G M : Type*}
section ite
variable [Pow α β]
@[to_additive (attr := simp) dite_smul]
lemma pow_dite (p : Prop) [Decidable p] (a : α) (b : p → β) (c : ¬ p → β) :
a ^ (if h : p then b h else c h) = if h : p then a ^ b h else a ^ c h := by split_ifs <;> rfl
@[to_additive (attr := simp) smul_dite]
lemma dite_pow (p : Prop) [Decidable p] (a : p → α) (b : ¬ p → α) (c : β) :
(if h : p then a h else b h) ^ c = if h : p then a h ^ c else b h ^ c := by split_ifs <;> rfl
@[to_additive (attr := simp) ite_smul]
lemma pow_ite (p : Prop) [Decidable p] (a : α) (b c : β) :
a ^ (if p then b else c) = if p then a ^ b else a ^ c := pow_dite _ _ _ _
@[to_additive (attr := simp) smul_ite]
lemma ite_pow (p : Prop) [Decidable p] (a b : α) (c : β) :
(if p then a else b) ^ c = if p then a ^ c else b ^ c := dite_pow _ _ _ _
set_option linter.existingAttributeWarning false in
attribute [to_additive (attr := simp)] dite_smul smul_dite ite_smul smul_ite
end ite
section Semigroup
variable [Semigroup α]
@[to_additive]
instance Semigroup.to_isAssociative : Std.Associative (α := α) (· * ·) := ⟨mul_assoc⟩
/-- Composing two multiplications on the left by `y` then `x`
is equal to a multiplication on the left by `x * y`.
-/
@[to_additive (attr := simp) "Composing two additions on the left by `y` then `x`
is equal to an addition on the left by `x + y`."]
theorem comp_mul_left (x y : α) : (x * ·) ∘ (y * ·) = (x * y * ·) := by
ext z
simp [mul_assoc]
/-- Composing two multiplications on the right by `y` and `x`
is equal to a multiplication on the right by `y * x`.
-/
@[to_additive (attr := simp) "Composing two additions on the right by `y` and `x`
is equal to an addition on the right by `y + x`."]
theorem comp_mul_right (x y : α) : (· * x) ∘ (· * y) = (· * (y * x)) := by
ext z
simp [mul_assoc]
end Semigroup
@[to_additive]
instance CommMagma.to_isCommutative [CommMagma G] : Std.Commutative (α := G) (· * ·) := ⟨mul_comm⟩
section MulOneClass
variable [MulOneClass M]
@[to_additive]
theorem ite_mul_one {P : Prop} [Decidable P] {a b : M} :
ite P (a * b) 1 = ite P a 1 * ite P b 1 := by
by_cases h : P <;> simp [h]
@[to_additive]
theorem ite_one_mul {P : Prop} [Decidable P] {a b : M} :
ite P 1 (a * b) = ite P 1 a * ite P 1 b := by
by_cases h : P <;> simp [h]
@[to_additive]
theorem eq_one_iff_eq_one_of_mul_eq_one {a b : M} (h : a * b = 1) : a = 1 ↔ b = 1 := by
constructor <;> (rintro rfl; simpa using h)
@[to_additive]
theorem one_mul_eq_id : ((1 : M) * ·) = id :=
funext one_mul
@[to_additive]
theorem mul_one_eq_id : (· * (1 : M)) = id :=
funext mul_one
end MulOneClass
section CommSemigroup
variable [CommSemigroup G]
@[to_additive]
theorem mul_left_comm (a b c : G) : a * (b * c) = b * (a * c) := by
rw [← mul_assoc, mul_comm a, mul_assoc]
@[to_additive]
theorem mul_right_comm (a b c : G) : a * b * c = a * c * b := by
rw [mul_assoc, mul_comm b, mul_assoc]
@[to_additive]
theorem mul_mul_mul_comm (a b c d : G) : a * b * (c * d) = a * c * (b * d) := by
simp only [mul_left_comm, mul_assoc]
@[to_additive]
theorem mul_rotate (a b c : G) : a * b * c = b * c * a := by
simp only [mul_left_comm, mul_comm]
@[to_additive]
theorem mul_rotate' (a b c : G) : a * (b * c) = b * (c * a) := by
simp only [mul_left_comm, mul_comm]
end CommSemigroup
attribute [local simp] mul_assoc sub_eq_add_neg
section Monoid
variable [Monoid M] {a b : M} {m n : ℕ}
@[to_additive boole_nsmul]
lemma pow_boole (P : Prop) [Decidable P] (a : M) :
(a ^ if P then 1 else 0) = if P then a else 1 := by simp only [pow_ite, pow_one, pow_zero]
@[to_additive nsmul_add_sub_nsmul]
lemma pow_mul_pow_sub (a : M) (h : m ≤ n) : a ^ m * a ^ (n - m) = a ^ n := by
rw [← pow_add, Nat.add_comm, Nat.sub_add_cancel h]
@[to_additive sub_nsmul_nsmul_add]
lemma pow_sub_mul_pow (a : M) (h : m ≤ n) : a ^ (n - m) * a ^ m = a ^ n := by
rw [← pow_add, Nat.sub_add_cancel h]
@[to_additive sub_one_nsmul_add]
lemma mul_pow_sub_one (hn : n ≠ 0) (a : M) : a * a ^ (n - 1) = a ^ n := by
rw [← pow_succ', Nat.sub_add_cancel <| Nat.one_le_iff_ne_zero.2 hn]
@[to_additive add_sub_one_nsmul]
lemma pow_sub_one_mul (hn : n ≠ 0) (a : M) : a ^ (n - 1) * a = a ^ n := by
rw [← pow_succ, Nat.sub_add_cancel <| Nat.one_le_iff_ne_zero.2 hn]
/-- If `x ^ n = 1`, then `x ^ m` is the same as `x ^ (m % n)` -/
@[to_additive nsmul_eq_mod_nsmul "If `n • x = 0`, then `m • x` is the same as `(m % n) • x`"]
lemma pow_eq_pow_mod (m : ℕ) (ha : a ^ n = 1) : a ^ m = a ^ (m % n) := by
calc
a ^ m = a ^ (m % n + n * (m / n)) := by rw [Nat.mod_add_div]
_ = a ^ (m % n) := by simp [pow_add, pow_mul, ha]
@[to_additive] lemma pow_mul_pow_eq_one : ∀ n, a * b = 1 → a ^ n * b ^ n = 1
| 0, _ => by simp
| n + 1, h =>
calc
a ^ n.succ * b ^ n.succ = a ^ n * a * (b * b ^ n) := by rw [pow_succ, pow_succ']
_ = a ^ n * (a * b) * b ^ n := by simp only [mul_assoc]
_ = 1 := by simp [h, pow_mul_pow_eq_one]
@[to_additive (attr := simp)]
lemma mul_left_iterate (a : M) : ∀ n : ℕ, (a * ·)^[n] = (a ^ n * ·)
| 0 => by ext; simp
| n + 1 => by ext; simp [pow_succ, mul_left_iterate]
@[to_additive (attr := simp)]
lemma mul_right_iterate (a : M) : ∀ n : ℕ, (· * a)^[n] = (· * a ^ n)
| 0 => by ext; simp
| n + 1 => by ext; simp [pow_succ', mul_right_iterate]
@[to_additive]
lemma mul_left_iterate_apply_one (a : M) : (a * ·)^[n] 1 = a ^ n := by simp [mul_right_iterate]
@[to_additive]
lemma mul_right_iterate_apply_one (a : M) : (· * a)^[n] 1 = a ^ n := by simp [mul_right_iterate]
@[to_additive (attr := simp)]
lemma pow_iterate (k : ℕ) : ∀ n : ℕ, (fun x : M ↦ x ^ k)^[n] = (· ^ k ^ n)
| 0 => by ext; simp
| n + 1 => by ext; simp [pow_iterate, Nat.pow_succ', pow_mul]
end Monoid
section CommMonoid
variable [CommMonoid M] {x y z : M}
@[to_additive]
theorem inv_unique (hy : x * y = 1) (hz : x * z = 1) : y = z :=
left_inv_eq_right_inv (Trans.trans (mul_comm _ _) hy) hz
@[to_additive nsmul_add] lemma mul_pow (a b : M) : ∀ n, (a * b) ^ n = a ^ n * b ^ n
| 0 => by rw [pow_zero, pow_zero, pow_zero, one_mul]
| n + 1 => by rw [pow_succ', pow_succ', pow_succ', mul_pow, mul_mul_mul_comm]
end CommMonoid
section LeftCancelMonoid
variable [Monoid M] [IsLeftCancelMul M] {a b : M}
@[to_additive (attr := simp)]
theorem mul_eq_left : a * b = a ↔ b = 1 := calc
a * b = a ↔ a * b = a * 1 := by rw [mul_one]
_ ↔ b = 1 := mul_left_cancel_iff
@[deprecated (since := "2025-03-05")] alias mul_right_eq_self := mul_eq_left
@[deprecated (since := "2025-03-05")] alias add_right_eq_self := add_eq_left
set_option linter.existingAttributeWarning false in
attribute [to_additive existing] mul_right_eq_self
@[to_additive (attr := simp)]
theorem left_eq_mul : a = a * b ↔ b = 1 :=
eq_comm.trans mul_eq_left
@[deprecated (since := "2025-03-05")] alias self_eq_mul_right := left_eq_mul
@[deprecated (since := "2025-03-05")] alias self_eq_add_right := left_eq_add
set_option linter.existingAttributeWarning false in
attribute [to_additive existing] self_eq_mul_right
@[to_additive]
theorem mul_ne_left : a * b ≠ a ↔ b ≠ 1 := mul_eq_left.not
@[deprecated (since := "2025-03-05")] alias mul_right_ne_self := mul_ne_left
@[deprecated (since := "2025-03-05")] alias add_right_ne_self := add_ne_left
set_option linter.existingAttributeWarning false in
attribute [to_additive existing] mul_right_ne_self
@[to_additive]
theorem left_ne_mul : a ≠ a * b ↔ b ≠ 1 := left_eq_mul.not
@[deprecated (since := "2025-03-05")] alias self_ne_mul_right := left_ne_mul
@[deprecated (since := "2025-03-05")] alias self_ne_add_right := left_ne_add
set_option linter.existingAttributeWarning false in
attribute [to_additive existing] self_ne_mul_right
end LeftCancelMonoid
section RightCancelMonoid
variable [RightCancelMonoid M] {a b : M}
@[to_additive (attr := simp)]
theorem mul_eq_right : a * b = b ↔ a = 1 := calc
a * b = b ↔ a * b = 1 * b := by rw [one_mul]
_ ↔ a = 1 := mul_right_cancel_iff
@[deprecated (since := "2025-03-05")] alias mul_left_eq_self := mul_eq_right
@[deprecated (since := "2025-03-05")] alias add_left_eq_self := add_eq_right
set_option linter.existingAttributeWarning false in
attribute [to_additive existing] mul_left_eq_self
@[to_additive (attr := simp)]
theorem right_eq_mul : b = a * b ↔ a = 1 :=
eq_comm.trans mul_eq_right
@[deprecated (since := "2025-03-05")] alias self_eq_mul_left := right_eq_mul
@[deprecated (since := "2025-03-05")] alias self_eq_add_left := right_eq_add
set_option linter.existingAttributeWarning false in
attribute [to_additive existing] self_eq_mul_left
@[to_additive]
theorem mul_ne_right : a * b ≠ b ↔ a ≠ 1 := mul_eq_right.not
@[deprecated (since := "2025-03-05")] alias mul_left_ne_self := mul_ne_right
@[deprecated (since := "2025-03-05")] alias add_left_ne_self := add_ne_right
set_option linter.existingAttributeWarning false in
attribute [to_additive existing] mul_left_ne_self
@[to_additive]
theorem right_ne_mul : b ≠ a * b ↔ a ≠ 1 := right_eq_mul.not
@[deprecated (since := "2025-03-05")] alias self_ne_mul_left := right_ne_mul
@[deprecated (since := "2025-03-05")] alias self_ne_add_left := right_ne_add
set_option linter.existingAttributeWarning false in
attribute [to_additive existing] self_ne_mul_left
end RightCancelMonoid
section CancelCommMonoid
variable [CancelCommMonoid α] {a b c d : α}
@[to_additive] lemma eq_iff_eq_of_mul_eq_mul (h : a * b = c * d) : a = c ↔ b = d := by aesop
@[to_additive] lemma ne_iff_ne_of_mul_eq_mul (h : a * b = c * d) : a ≠ c ↔ b ≠ d := by aesop
end CancelCommMonoid
section InvolutiveInv
variable [InvolutiveInv G] {a b : G}
@[to_additive (attr := simp)]
theorem inv_involutive : Function.Involutive (Inv.inv : G → G) :=
inv_inv
@[to_additive (attr := simp)]
theorem inv_surjective : Function.Surjective (Inv.inv : G → G) :=
inv_involutive.surjective
@[to_additive]
theorem inv_injective : Function.Injective (Inv.inv : G → G) :=
inv_involutive.injective
@[to_additive (attr := simp)]
theorem inv_inj : a⁻¹ = b⁻¹ ↔ a = b :=
inv_injective.eq_iff
@[to_additive]
theorem inv_eq_iff_eq_inv : a⁻¹ = b ↔ a = b⁻¹ :=
⟨fun h => h ▸ (inv_inv a).symm, fun h => h.symm ▸ inv_inv b⟩
variable (G)
@[to_additive]
theorem inv_comp_inv : Inv.inv ∘ Inv.inv = @id G :=
inv_involutive.comp_self
@[to_additive]
theorem leftInverse_inv : LeftInverse (fun a : G ↦ a⁻¹) fun a ↦ a⁻¹ :=
inv_inv
@[to_additive]
theorem rightInverse_inv : RightInverse (fun a : G ↦ a⁻¹) fun a ↦ a⁻¹ :=
inv_inv
end InvolutiveInv
section DivInvMonoid
variable [DivInvMonoid G]
@[to_additive]
theorem mul_one_div (x y : G) : x * (1 / y) = x / y := by
rw [div_eq_mul_inv, one_mul, div_eq_mul_inv]
@[to_additive, field_simps] -- The attributes are out of order on purpose
theorem mul_div_assoc' (a b c : G) : a * (b / c) = a * b / c :=
(mul_div_assoc _ _ _).symm
@[to_additive]
theorem mul_div (a b c : G) : a * (b / c) = a * b / c := by simp only [mul_assoc, div_eq_mul_inv]
@[to_additive]
theorem div_eq_mul_one_div (a b : G) : a / b = a * (1 / b) := by rw [div_eq_mul_inv, one_div]
end DivInvMonoid
section DivInvOneMonoid
variable [DivInvOneMonoid G]
@[to_additive (attr := simp)]
theorem div_one (a : G) : a / 1 = a := by simp [div_eq_mul_inv]
@[to_additive]
theorem one_div_one : (1 : G) / 1 = 1 :=
div_one _
end DivInvOneMonoid
section DivisionMonoid
variable [DivisionMonoid α] {a b c d : α}
attribute [local simp] mul_assoc div_eq_mul_inv
@[to_additive]
theorem eq_inv_of_mul_eq_one_right (h : a * b = 1) : b = a⁻¹ :=
(inv_eq_of_mul_eq_one_right h).symm
@[to_additive]
theorem eq_one_div_of_mul_eq_one_left (h : b * a = 1) : b = 1 / a := by
rw [eq_inv_of_mul_eq_one_left h, one_div]
@[to_additive]
theorem eq_one_div_of_mul_eq_one_right (h : a * b = 1) : b = 1 / a := by
rw [eq_inv_of_mul_eq_one_right h, one_div]
@[to_additive]
theorem eq_of_div_eq_one (h : a / b = 1) : a = b :=
inv_injective <| inv_eq_of_mul_eq_one_right <| by rwa [← div_eq_mul_inv]
@[to_additive]
lemma eq_of_inv_mul_eq_one (h : a⁻¹ * b = 1) : a = b := by simpa using eq_inv_of_mul_eq_one_left h
@[to_additive]
lemma eq_of_mul_inv_eq_one (h : a * b⁻¹ = 1) : a = b := by simpa using eq_inv_of_mul_eq_one_left h
@[to_additive]
theorem div_ne_one_of_ne : a ≠ b → a / b ≠ 1 :=
mt eq_of_div_eq_one
variable (a b c)
@[to_additive]
theorem one_div_mul_one_div_rev : 1 / a * (1 / b) = 1 / (b * a) := by simp
@[to_additive]
theorem inv_div_left : a⁻¹ / b = (b * a)⁻¹ := by simp
@[to_additive (attr := simp)]
theorem inv_div : (a / b)⁻¹ = b / a := by simp
@[to_additive]
theorem one_div_div : 1 / (a / b) = b / a := by simp
@[to_additive]
theorem one_div_one_div : 1 / (1 / a) = a := by simp
@[to_additive]
theorem div_eq_div_iff_comm : a / b = c / d ↔ b / a = d / c :=
inv_inj.symm.trans <| by simp only [inv_div]
@[to_additive]
instance (priority := 100) DivisionMonoid.toDivInvOneMonoid : DivInvOneMonoid α :=
{ DivisionMonoid.toDivInvMonoid with
inv_one := by simpa only [one_div, inv_inv] using (inv_div (1 : α) 1).symm }
@[to_additive (attr := simp)]
lemma inv_pow (a : α) : ∀ n : ℕ, a⁻¹ ^ n = (a ^ n)⁻¹
| 0 => by rw [pow_zero, pow_zero, inv_one]
| n + 1 => by rw [pow_succ', pow_succ, inv_pow _ n, mul_inv_rev]
-- the attributes are intentionally out of order. `smul_zero` proves `zsmul_zero`.
@[to_additive zsmul_zero, simp]
lemma one_zpow : ∀ n : ℤ, (1 : α) ^ n = 1
| (n : ℕ) => by rw [zpow_natCast, one_pow]
| .negSucc n => by rw [zpow_negSucc, one_pow, inv_one]
@[to_additive (attr := simp) neg_zsmul]
lemma zpow_neg (a : α) : ∀ n : ℤ, a ^ (-n) = (a ^ n)⁻¹
| (_ + 1 : ℕ) => DivInvMonoid.zpow_neg' _ _
| 0 => by simp
| Int.negSucc n => by
rw [zpow_negSucc, inv_inv, ← zpow_natCast]
rfl
@[to_additive neg_one_zsmul_add]
lemma mul_zpow_neg_one (a b : α) : (a * b) ^ (-1 : ℤ) = b ^ (-1 : ℤ) * a ^ (-1 : ℤ) := by
simp only [zpow_neg, zpow_one, mul_inv_rev]
@[to_additive zsmul_neg]
lemma inv_zpow (a : α) : ∀ n : ℤ, a⁻¹ ^ n = (a ^ n)⁻¹
| (n : ℕ) => by rw [zpow_natCast, zpow_natCast, inv_pow]
| .negSucc n => by rw [zpow_negSucc, zpow_negSucc, inv_pow]
@[to_additive (attr := simp) zsmul_neg']
lemma inv_zpow' (a : α) (n : ℤ) : a⁻¹ ^ n = a ^ (-n) := by rw [inv_zpow, zpow_neg]
@[to_additive nsmul_zero_sub]
lemma one_div_pow (a : α) (n : ℕ) : (1 / a) ^ n = 1 / a ^ n := by simp only [one_div, inv_pow]
@[to_additive zsmul_zero_sub]
lemma one_div_zpow (a : α) (n : ℤ) : (1 / a) ^ n = 1 / a ^ n := by simp only [one_div, inv_zpow]
variable {a b c}
@[to_additive (attr := simp)]
theorem inv_eq_one : a⁻¹ = 1 ↔ a = 1 :=
inv_injective.eq_iff' inv_one
@[to_additive (attr := simp)]
theorem one_eq_inv : 1 = a⁻¹ ↔ a = 1 :=
eq_comm.trans inv_eq_one
@[to_additive]
theorem inv_ne_one : a⁻¹ ≠ 1 ↔ a ≠ 1 :=
inv_eq_one.not
@[to_additive]
theorem eq_of_one_div_eq_one_div (h : 1 / a = 1 / b) : a = b := by
rw [← one_div_one_div a, h, one_div_one_div]
-- Note that `mul_zsmul` and `zpow_mul` have the primes swapped
-- when additivised since their argument order,
-- and therefore the more "natural" choice of lemma, is reversed.
@[to_additive mul_zsmul'] lemma zpow_mul (a : α) : ∀ m n : ℤ, a ^ (m * n) = (a ^ m) ^ n
| (m : ℕ), (n : ℕ) => by
rw [zpow_natCast, zpow_natCast, ← pow_mul, ← zpow_natCast]
rfl
| (m : ℕ), .negSucc n => by
rw [zpow_natCast, zpow_negSucc, ← pow_mul, Int.ofNat_mul_negSucc, zpow_neg, inv_inj,
← zpow_natCast]
| .negSucc m, (n : ℕ) => by
rw [zpow_natCast, zpow_negSucc, ← inv_pow, ← pow_mul, Int.negSucc_mul_ofNat, zpow_neg, inv_pow,
inv_inj, ← zpow_natCast]
| .negSucc m, .negSucc n => by
rw [zpow_negSucc, zpow_negSucc, Int.negSucc_mul_negSucc, inv_pow, inv_inv, ← pow_mul, ←
zpow_natCast]
rfl
@[to_additive mul_zsmul]
lemma zpow_mul' (a : α) (m n : ℤ) : a ^ (m * n) = (a ^ n) ^ m := by rw [Int.mul_comm, zpow_mul]
@[to_additive]
theorem zpow_comm (a : α) (m n : ℤ) : (a ^ m) ^ n = (a ^ n) ^ m := by rw [← zpow_mul, zpow_mul']
variable (a b c)
@[to_additive, field_simps] -- The attributes are out of order on purpose
theorem div_div_eq_mul_div : a / (b / c) = a * c / b := by simp
@[to_additive (attr := simp)]
theorem div_inv_eq_mul : a / b⁻¹ = a * b := by simp
@[to_additive]
theorem div_mul_eq_div_div_swap : a / (b * c) = a / c / b := by
simp only [mul_assoc, mul_inv_rev, div_eq_mul_inv]
end DivisionMonoid
section DivisionCommMonoid
variable [DivisionCommMonoid α] (a b c d : α)
attribute [local simp] mul_assoc mul_comm mul_left_comm div_eq_mul_inv
@[to_additive neg_add]
theorem mul_inv : (a * b)⁻¹ = a⁻¹ * b⁻¹ := by simp
@[to_additive]
theorem inv_div' : (a / b)⁻¹ = a⁻¹ / b⁻¹ := by simp
@[to_additive]
theorem div_eq_inv_mul : a / b = b⁻¹ * a := by simp
@[to_additive]
theorem inv_mul_eq_div : a⁻¹ * b = b / a := by simp
@[to_additive] lemma inv_div_comm (a b : α) : a⁻¹ / b = b⁻¹ / a := by simp
@[to_additive]
theorem inv_mul' : (a * b)⁻¹ = a⁻¹ / b := by simp
@[to_additive]
theorem inv_div_inv : a⁻¹ / b⁻¹ = b / a := by simp
@[to_additive]
theorem inv_inv_div_inv : (a⁻¹ / b⁻¹)⁻¹ = a / b := by simp
@[to_additive]
theorem one_div_mul_one_div : 1 / a * (1 / b) = 1 / (a * b) := by simp
@[to_additive]
theorem div_right_comm : a / b / c = a / c / b := by simp
@[to_additive, field_simps]
theorem div_div : a / b / c = a / (b * c) := by simp
@[to_additive]
theorem div_mul : a / b * c = a / (b / c) := by simp
@[to_additive]
theorem mul_div_left_comm : a * (b / c) = b * (a / c) := by simp
@[to_additive]
theorem mul_div_right_comm : a * b / c = a / c * b := by simp
@[to_additive]
theorem div_mul_eq_div_div : a / (b * c) = a / b / c := by simp
@[to_additive, field_simps]
theorem div_mul_eq_mul_div : a / b * c = a * c / b := by simp
@[to_additive]
theorem one_div_mul_eq_div : 1 / a * b = b / a := by simp
@[to_additive]
theorem mul_comm_div : a / b * c = a * (c / b) := by simp
@[to_additive]
theorem div_mul_comm : a / b * c = c / b * a := by simp
@[to_additive]
theorem div_mul_eq_div_mul_one_div : a / (b * c) = a / b * (1 / c) := by simp
@[to_additive]
theorem div_div_div_eq : a / b / (c / d) = a * d / (b * c) := by simp
@[to_additive]
theorem div_div_div_comm : a / b / (c / d) = a / c / (b / d) := by simp
@[to_additive]
theorem div_mul_div_comm : a / b * (c / d) = a * c / (b * d) := by simp
@[to_additive]
theorem mul_div_mul_comm : a * b / (c * d) = a / c * (b / d) := by simp
@[to_additive zsmul_add] lemma mul_zpow : ∀ n : ℤ, (a * b) ^ n = a ^ n * b ^ n
| (n : ℕ) => by simp_rw [zpow_natCast, mul_pow]
| .negSucc n => by simp_rw [zpow_negSucc, ← inv_pow, mul_inv, mul_pow]
@[to_additive nsmul_sub]
lemma div_pow (a b : α) (n : ℕ) : (a / b) ^ n = a ^ n / b ^ n := by
simp only [div_eq_mul_inv, mul_pow, inv_pow]
@[to_additive zsmul_sub]
lemma div_zpow (a b : α) (n : ℤ) : (a / b) ^ n = a ^ n / b ^ n := by
simp only [div_eq_mul_inv, mul_zpow, inv_zpow]
attribute [field_simps] div_pow div_zpow
end DivisionCommMonoid
section Group
variable [Group G] {a b c d : G} {n : ℤ}
@[to_additive (attr := simp)]
theorem div_eq_inv_self : a / b = b⁻¹ ↔ a = 1 := by rw [div_eq_mul_inv, mul_eq_right]
@[to_additive]
theorem mul_left_surjective (a : G) : Surjective (a * ·) :=
fun x ↦ ⟨a⁻¹ * x, mul_inv_cancel_left a x⟩
@[to_additive]
theorem mul_right_surjective (a : G) : Function.Surjective fun x ↦ x * a := fun x ↦
⟨x * a⁻¹, inv_mul_cancel_right x a⟩
@[to_additive]
theorem eq_mul_inv_of_mul_eq (h : a * c = b) : a = b * c⁻¹ := by simp [h.symm]
@[to_additive]
theorem eq_inv_mul_of_mul_eq (h : b * a = c) : a = b⁻¹ * c := by simp [h.symm]
@[to_additive]
theorem inv_mul_eq_of_eq_mul (h : b = a * c) : a⁻¹ * b = c := by simp [h]
@[to_additive]
theorem mul_inv_eq_of_eq_mul (h : a = c * b) : a * b⁻¹ = c := by simp [h]
@[to_additive]
theorem eq_mul_of_mul_inv_eq (h : a * c⁻¹ = b) : a = b * c := by simp [h.symm]
@[to_additive]
theorem eq_mul_of_inv_mul_eq (h : b⁻¹ * a = c) : a = b * c := by simp [h.symm, mul_inv_cancel_left]
@[to_additive]
theorem mul_eq_of_eq_inv_mul (h : b = a⁻¹ * c) : a * b = c := by rw [h, mul_inv_cancel_left]
@[to_additive]
theorem mul_eq_of_eq_mul_inv (h : a = c * b⁻¹) : a * b = c := by simp [h]
@[to_additive]
theorem mul_eq_one_iff_eq_inv : a * b = 1 ↔ a = b⁻¹ :=
⟨eq_inv_of_mul_eq_one_left, fun h ↦ by rw [h, inv_mul_cancel]⟩
@[to_additive]
theorem mul_eq_one_iff_inv_eq : a * b = 1 ↔ a⁻¹ = b := by
rw [mul_eq_one_iff_eq_inv, inv_eq_iff_eq_inv]
/-- Variant of `mul_eq_one_iff_eq_inv` with swapped equality. -/
@[to_additive]
theorem mul_eq_one_iff_eq_inv' : a * b = 1 ↔ b = a⁻¹ := by
rw [mul_eq_one_iff_inv_eq, eq_comm]
/-- Variant of `mul_eq_one_iff_inv_eq` with swapped equality. -/
@[to_additive]
theorem mul_eq_one_iff_inv_eq' : a * b = 1 ↔ b⁻¹ = a := by
rw [mul_eq_one_iff_eq_inv, eq_comm]
@[to_additive]
theorem eq_inv_iff_mul_eq_one : a = b⁻¹ ↔ a * b = 1 :=
mul_eq_one_iff_eq_inv.symm
@[to_additive]
theorem inv_eq_iff_mul_eq_one : a⁻¹ = b ↔ a * b = 1 :=
mul_eq_one_iff_inv_eq.symm
@[to_additive]
theorem eq_mul_inv_iff_mul_eq : a = b * c⁻¹ ↔ a * c = b :=
⟨fun h ↦ by rw [h, inv_mul_cancel_right], fun h ↦ by rw [← h, mul_inv_cancel_right]⟩
@[to_additive]
theorem eq_inv_mul_iff_mul_eq : a = b⁻¹ * c ↔ b * a = c :=
⟨fun h ↦ by rw [h, mul_inv_cancel_left], fun h ↦ by rw [← h, inv_mul_cancel_left]⟩
@[to_additive]
theorem inv_mul_eq_iff_eq_mul : a⁻¹ * b = c ↔ b = a * c :=
⟨fun h ↦ by rw [← h, mul_inv_cancel_left], fun h ↦ by rw [h, inv_mul_cancel_left]⟩
@[to_additive]
theorem mul_inv_eq_iff_eq_mul : a * b⁻¹ = c ↔ a = c * b :=
⟨fun h ↦ by rw [← h, inv_mul_cancel_right], fun h ↦ by rw [h, mul_inv_cancel_right]⟩
@[to_additive]
theorem mul_inv_eq_one : a * b⁻¹ = 1 ↔ a = b := by rw [mul_eq_one_iff_eq_inv, inv_inv]
@[to_additive]
theorem inv_mul_eq_one : a⁻¹ * b = 1 ↔ a = b := by rw [mul_eq_one_iff_eq_inv, inv_inj]
@[to_additive (attr := simp)]
theorem conj_eq_one_iff : a * b * a⁻¹ = 1 ↔ b = 1 := by
rw [mul_inv_eq_one, mul_eq_left]
@[to_additive]
theorem div_left_injective : Function.Injective fun a ↦ a / b := by
-- FIXME this could be by `simpa`, but it fails. This is probably a bug in `simpa`.
simp only [div_eq_mul_inv]
exact fun a a' h ↦ mul_left_injective b⁻¹ h
@[to_additive]
theorem div_right_injective : Function.Injective fun a ↦ b / a := by
-- FIXME see above
simp only [div_eq_mul_inv]
exact fun a a' h ↦ inv_injective (mul_right_injective b h)
@[to_additive (attr := simp)]
lemma div_mul_cancel_right (a b : G) : a / (b * a) = b⁻¹ := by rw [← inv_div, mul_div_cancel_right]
@[to_additive (attr := simp)]
theorem mul_div_mul_right_eq_div (a b c : G) : a * c / (b * c) = a / b := by
rw [div_mul_eq_div_div_swap]; simp only [mul_left_inj, eq_self_iff_true, mul_div_cancel_right]
@[to_additive eq_sub_of_add_eq]
theorem eq_div_of_mul_eq' (h : a * c = b) : a = b / c := by simp [← h]
@[to_additive sub_eq_of_eq_add]
theorem div_eq_of_eq_mul'' (h : a = c * b) : a / b = c := by simp [h]
@[to_additive]
theorem eq_mul_of_div_eq (h : a / c = b) : a = b * c := by simp [← h]
@[to_additive]
theorem mul_eq_of_eq_div (h : a = c / b) : a * b = c := by simp [h]
@[to_additive (attr := simp)]
theorem div_right_inj : a / b = a / c ↔ b = c :=
div_right_injective.eq_iff
| Mathlib/Algebra/Group/Basic.lean | 751 | 751 | |
/-
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, Patrick Massot, Wen Yang, Johan Commelin
-/
import Mathlib.Data.Set.Finite.Range
import Mathlib.Order.Partition.Finpartition
/-!
# Equivalence relations: partitions
This file comprises properties of equivalence relations viewed as partitions.
There are two implementations of partitions here:
* A collection `c : Set (Set α)` of sets is a partition of `α` if `∅ ∉ c` and each element `a : α`
belongs to a unique set `b ∈ c`. This is expressed as `IsPartition c`
* An indexed partition is a map `s : ι → α` whose image is a partition. This is
expressed as `IndexedPartition s`.
Of course both implementations are related to `Quotient` and `Setoid`.
`Setoid.isPartition.partition` and `Finpartition.isPartition_parts` furnish
a link between `Setoid.IsPartition` and `Finpartition`.
## TODO
Could the design of `Finpartition` inform the one of `Setoid.IsPartition`? Maybe bundling it and
changing it from `Set (Set α)` to `Set α` where `[Lattice α] [OrderBot α]` would make it more
usable.
## Tags
setoid, equivalence, iseqv, relation, equivalence relation, partition, equivalence class
-/
namespace Setoid
variable {α : Type*}
/-- If x ∈ α is in 2 elements of a set of sets partitioning α, those 2 sets are equal. -/
theorem eq_of_mem_eqv_class {c : Set (Set α)} (H : ∀ a, ∃! b ∈ c, a ∈ b) {x b b'}
(hc : b ∈ c) (hb : x ∈ b) (hc' : b' ∈ c) (hb' : x ∈ b') : b = b' :=
(H x).unique ⟨hc, hb⟩ ⟨hc', hb'⟩
/-- Makes an equivalence relation from a set of sets partitioning α. -/
def mkClasses (c : Set (Set α)) (H : ∀ a, ∃! b ∈ c, a ∈ b) : Setoid α where
r x y := ∀ s ∈ c, x ∈ s → y ∈ s
iseqv.refl := fun _ _ _ hx => hx
iseqv.symm := fun {x _y} h s hs hy => by
obtain ⟨t, ⟨ht, hx⟩, _⟩ := H x
rwa [eq_of_mem_eqv_class H hs hy ht (h t ht hx)]
iseqv.trans := fun {_x _ _} h1 h2 s hs hx => h2 s hs (h1 s hs hx)
/-- Makes the equivalence classes of an equivalence relation. -/
def classes (r : Setoid α) : Set (Set α) :=
{ s | ∃ y, s = { x | r x y } }
theorem mem_classes (r : Setoid α) (y) : { x | r x y } ∈ r.classes :=
⟨y, rfl⟩
theorem classes_ker_subset_fiber_set {β : Type*} (f : α → β) :
(Setoid.ker f).classes ⊆ Set.range fun y => { x | f x = y } := by
rintro s ⟨x, rfl⟩
rw [Set.mem_range]
exact ⟨f x, rfl⟩
theorem finite_classes_ker {α β : Type*} [Finite β] (f : α → β) : (Setoid.ker f).classes.Finite :=
(Set.finite_range _).subset <| classes_ker_subset_fiber_set f
theorem card_classes_ker_le {α β : Type*} [Fintype β] (f : α → β)
[Fintype (Setoid.ker f).classes] : Fintype.card (Setoid.ker f).classes ≤ Fintype.card β := by
classical exact
le_trans (Set.card_le_card (classes_ker_subset_fiber_set f)) (Fintype.card_range_le _)
/-- Two equivalence relations are equal iff all their equivalence classes are equal. -/
theorem eq_iff_classes_eq {r₁ r₂ : Setoid α} :
r₁ = r₂ ↔ ∀ x, { y | r₁ x y } = { y | r₂ x y } :=
⟨fun h _x => h ▸ rfl, fun h => ext fun x => Set.ext_iff.1 <| h x⟩
theorem rel_iff_exists_classes (r : Setoid α) {x y} : r x y ↔ ∃ c ∈ r.classes, x ∈ c ∧ y ∈ c :=
⟨fun h => ⟨_, r.mem_classes y, h, r.refl' y⟩, fun ⟨c, ⟨z, hz⟩, hx, hy⟩ => by
subst c
exact r.trans' hx (r.symm' hy)⟩
/-- Two equivalence relations are equal iff their equivalence classes are equal. -/
theorem classes_inj {r₁ r₂ : Setoid α} : r₁ = r₂ ↔ r₁.classes = r₂.classes :=
⟨fun h => h ▸ rfl, fun h => ext fun a b => by simp only [rel_iff_exists_classes, exists_prop, h]⟩
| /-- The empty set is not an equivalence class. -/
theorem empty_not_mem_classes {r : Setoid α} : ∅ ∉ r.classes := fun ⟨y, hy⟩ =>
Set.not_mem_empty y <| hy.symm ▸ r.refl' y
| Mathlib/Data/Setoid/Partition.lean | 90 | 93 |
/-
Copyright (c) 2021 Rémy Degenne. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Zhouhang Zhou, Yury Kudryashov
-/
import Mathlib.MeasureTheory.Function.L1Space.Integrable
import Mathlib.MeasureTheory.Function.LpSpace.Indicator
/-! # Functions integrable on a set and at a filter
We define `IntegrableOn f s μ := Integrable f (μ.restrict s)` and prove theorems like
`integrableOn_union : IntegrableOn f (s ∪ t) μ ↔ IntegrableOn f s μ ∧ IntegrableOn f t μ`.
Next we define a predicate `IntegrableAtFilter (f : α → E) (l : Filter α) (μ : Measure α)`
saying that `f` is integrable at some set `s ∈ l` and prove that a measurable function is integrable
at `l` with respect to `μ` provided that `f` is bounded above at `l ⊓ ae μ` and `μ` is finite
at `l`.
-/
noncomputable section
open Set Filter TopologicalSpace MeasureTheory Function
open scoped Topology Interval Filter ENNReal MeasureTheory
variable {α β ε E F : Type*} [MeasurableSpace α] [ENorm ε] [TopologicalSpace ε]
section
variable [TopologicalSpace β] {l l' : Filter α} {f g : α → β} {μ ν : Measure α}
/-- A function `f` is strongly measurable at a filter `l` w.r.t. a measure `μ` if it is
ae strongly measurable w.r.t. `μ.restrict s` for some `s ∈ l`. -/
def StronglyMeasurableAtFilter (f : α → β) (l : Filter α) (μ : Measure α := by volume_tac) :=
∃ s ∈ l, AEStronglyMeasurable f (μ.restrict s)
@[simp]
theorem stronglyMeasurableAt_bot {f : α → β} : StronglyMeasurableAtFilter f ⊥ μ :=
⟨∅, mem_bot, by simp⟩
protected theorem StronglyMeasurableAtFilter.eventually (h : StronglyMeasurableAtFilter f l μ) :
∀ᶠ s in l.smallSets, AEStronglyMeasurable f (μ.restrict s) :=
(eventually_smallSets' fun _ _ => AEStronglyMeasurable.mono_set).2 h
protected theorem StronglyMeasurableAtFilter.filter_mono (h : StronglyMeasurableAtFilter f l μ)
(h' : l' ≤ l) : StronglyMeasurableAtFilter f l' μ :=
let ⟨s, hsl, hs⟩ := h
⟨s, h' hsl, hs⟩
protected theorem MeasureTheory.AEStronglyMeasurable.stronglyMeasurableAtFilter
(h : AEStronglyMeasurable f μ) : StronglyMeasurableAtFilter f l μ :=
⟨univ, univ_mem, by rwa [Measure.restrict_univ]⟩
theorem AEStronglyMeasurable.stronglyMeasurableAtFilter_of_mem {s}
(h : AEStronglyMeasurable f (μ.restrict s)) (hl : s ∈ l) : StronglyMeasurableAtFilter f l μ :=
⟨s, hl, h⟩
@[deprecated (since := "2025-02-12")]
alias AeStronglyMeasurable.stronglyMeasurableAtFilter_of_mem :=
AEStronglyMeasurable.stronglyMeasurableAtFilter_of_mem
protected theorem MeasureTheory.StronglyMeasurable.stronglyMeasurableAtFilter
(h : StronglyMeasurable f) : StronglyMeasurableAtFilter f l μ :=
h.aestronglyMeasurable.stronglyMeasurableAtFilter
end
namespace MeasureTheory
section NormedAddCommGroup
theorem hasFiniteIntegral_restrict_of_bounded [NormedAddCommGroup E] {f : α → E} {s : Set α}
{μ : Measure α} {C} (hs : μ s < ∞) (hf : ∀ᵐ x ∂μ.restrict s, ‖f x‖ ≤ C) :
HasFiniteIntegral f (μ.restrict s) :=
haveI : IsFiniteMeasure (μ.restrict s) := ⟨by rwa [Measure.restrict_apply_univ]⟩
hasFiniteIntegral_of_bounded hf
variable [NormedAddCommGroup E] {f g : α → E} {s t : Set α} {μ ν : Measure α}
/-- A function is `IntegrableOn` a set `s` if it is almost everywhere strongly measurable on `s`
and if the integral of its pointwise norm over `s` is less than infinity. -/
def IntegrableOn (f : α → ε) (s : Set α) (μ : Measure α := by volume_tac) : Prop :=
Integrable f (μ.restrict s)
theorem IntegrableOn.integrable (h : IntegrableOn f s μ) : Integrable f (μ.restrict s) :=
h
@[simp]
theorem integrableOn_empty : IntegrableOn f ∅ μ := by simp [IntegrableOn, integrable_zero_measure]
@[simp]
theorem integrableOn_univ : IntegrableOn f univ μ ↔ Integrable f μ := by
rw [IntegrableOn, Measure.restrict_univ]
theorem integrableOn_zero : IntegrableOn (fun _ => (0 : E)) s μ :=
integrable_zero _ _ _
@[simp]
theorem integrableOn_const {C : E} : IntegrableOn (fun _ => C) s μ ↔ C = 0 ∨ μ s < ∞ :=
integrable_const_iff.trans <| by rw [isFiniteMeasure_restrict, lt_top_iff_ne_top]
theorem IntegrableOn.mono (h : IntegrableOn f t ν) (hs : s ⊆ t) (hμ : μ ≤ ν) : IntegrableOn f s μ :=
h.mono_measure <| Measure.restrict_mono hs hμ
theorem IntegrableOn.mono_set (h : IntegrableOn f t μ) (hst : s ⊆ t) : IntegrableOn f s μ :=
h.mono hst le_rfl
theorem IntegrableOn.mono_measure (h : IntegrableOn f s ν) (hμ : μ ≤ ν) : IntegrableOn f s μ :=
h.mono (Subset.refl _) hμ
theorem IntegrableOn.mono_set_ae (h : IntegrableOn f t μ) (hst : s ≤ᵐ[μ] t) : IntegrableOn f s μ :=
h.integrable.mono_measure <| Measure.restrict_mono_ae hst
theorem IntegrableOn.congr_set_ae (h : IntegrableOn f t μ) (hst : s =ᵐ[μ] t) : IntegrableOn f s μ :=
h.mono_set_ae hst.le
theorem IntegrableOn.congr_fun_ae (h : IntegrableOn f s μ) (hst : f =ᵐ[μ.restrict s] g) :
IntegrableOn g s μ :=
Integrable.congr h hst
theorem integrableOn_congr_fun_ae (hst : f =ᵐ[μ.restrict s] g) :
IntegrableOn f s μ ↔ IntegrableOn g s μ :=
⟨fun h => h.congr_fun_ae hst, fun h => h.congr_fun_ae hst.symm⟩
theorem IntegrableOn.congr_fun (h : IntegrableOn f s μ) (hst : EqOn f g s) (hs : MeasurableSet s) :
IntegrableOn g s μ :=
h.congr_fun_ae ((ae_restrict_iff' hs).2 (Eventually.of_forall hst))
theorem integrableOn_congr_fun (hst : EqOn f g s) (hs : MeasurableSet s) :
IntegrableOn f s μ ↔ IntegrableOn g s μ :=
⟨fun h => h.congr_fun hst hs, fun h => h.congr_fun hst.symm hs⟩
theorem Integrable.integrableOn (h : Integrable f μ) : IntegrableOn f s μ := h.restrict
theorem IntegrableOn.restrict (h : IntegrableOn f s μ) : IntegrableOn f s (μ.restrict t) := by
dsimp only [IntegrableOn] at h ⊢
exact h.mono_measure <| Measure.restrict_mono_measure Measure.restrict_le_self _
theorem IntegrableOn.inter_of_restrict (h : IntegrableOn f s (μ.restrict t)) :
IntegrableOn f (s ∩ t) μ := by
have := h.mono_set (inter_subset_left (t := t))
rwa [IntegrableOn, μ.restrict_restrict_of_subset inter_subset_right] at this
lemma Integrable.piecewise [DecidablePred (· ∈ s)]
(hs : MeasurableSet s) (hf : IntegrableOn f s μ) (hg : IntegrableOn g sᶜ μ) :
Integrable (s.piecewise f g) μ := by
rw [IntegrableOn] at hf hg
rw [← memLp_one_iff_integrable] at hf hg ⊢
exact MemLp.piecewise hs hf hg
theorem IntegrableOn.left_of_union (h : IntegrableOn f (s ∪ t) μ) : IntegrableOn f s μ :=
h.mono_set subset_union_left
theorem IntegrableOn.right_of_union (h : IntegrableOn f (s ∪ t) μ) : IntegrableOn f t μ :=
h.mono_set subset_union_right
theorem IntegrableOn.union (hs : IntegrableOn f s μ) (ht : IntegrableOn f t μ) :
IntegrableOn f (s ∪ t) μ :=
(hs.add_measure ht).mono_measure <| Measure.restrict_union_le _ _
@[simp]
theorem integrableOn_union : IntegrableOn f (s ∪ t) μ ↔ IntegrableOn f s μ ∧ IntegrableOn f t μ :=
⟨fun h => ⟨h.left_of_union, h.right_of_union⟩, fun h => h.1.union h.2⟩
@[simp]
theorem integrableOn_singleton_iff {x : α} [MeasurableSingletonClass α] :
IntegrableOn f {x} μ ↔ f x = 0 ∨ μ {x} < ∞ := by
have : f =ᵐ[μ.restrict {x}] fun _ => f x := by
filter_upwards [ae_restrict_mem (measurableSet_singleton x)] with _ ha
simp only [mem_singleton_iff.1 ha]
rw [IntegrableOn, integrable_congr this, integrable_const_iff, isFiniteMeasure_restrict,
lt_top_iff_ne_top]
@[simp]
theorem integrableOn_finite_biUnion {s : Set β} (hs : s.Finite) {t : β → Set α} :
IntegrableOn f (⋃ i ∈ s, t i) μ ↔ ∀ i ∈ s, IntegrableOn f (t i) μ := by
induction s, hs using Set.Finite.induction_on with
| empty => simp
| insert _ _ hf => simp [hf, or_imp, forall_and]
@[simp]
theorem integrableOn_finset_iUnion {s : Finset β} {t : β → Set α} :
IntegrableOn f (⋃ i ∈ s, t i) μ ↔ ∀ i ∈ s, IntegrableOn f (t i) μ :=
integrableOn_finite_biUnion s.finite_toSet
@[simp]
theorem integrableOn_finite_iUnion [Finite β] {t : β → Set α} :
IntegrableOn f (⋃ i, t i) μ ↔ ∀ i, IntegrableOn f (t i) μ := by
cases nonempty_fintype β
simpa using @integrableOn_finset_iUnion _ _ _ _ _ f μ Finset.univ t
lemma IntegrableOn.finset [MeasurableSingletonClass α] {μ : Measure α} [IsFiniteMeasure μ]
{s : Finset α} {f : α → E} : IntegrableOn f s μ := by
rw [← s.toSet.biUnion_of_singleton]
simp [integrableOn_finset_iUnion, measure_lt_top]
lemma IntegrableOn.of_finite [MeasurableSingletonClass α] {μ : Measure α} [IsFiniteMeasure μ]
{s : Set α} (hs : s.Finite) {f : α → E} : IntegrableOn f s μ := by
simpa using IntegrableOn.finset (s := hs.toFinset)
theorem IntegrableOn.add_measure (hμ : IntegrableOn f s μ) (hν : IntegrableOn f s ν) :
IntegrableOn f s (μ + ν) := by
delta IntegrableOn; rw [Measure.restrict_add]; exact hμ.integrable.add_measure hν
@[simp]
theorem integrableOn_add_measure :
IntegrableOn f s (μ + ν) ↔ IntegrableOn f s μ ∧ IntegrableOn f s ν :=
⟨fun h =>
⟨h.mono_measure (Measure.le_add_right le_rfl), h.mono_measure (Measure.le_add_left le_rfl)⟩,
fun h => h.1.add_measure h.2⟩
theorem _root_.MeasurableEmbedding.integrableOn_map_iff [MeasurableSpace β] {e : α → β}
(he : MeasurableEmbedding e) {f : β → E} {μ : Measure α} {s : Set β} :
IntegrableOn f s (μ.map e) ↔ IntegrableOn (f ∘ e) (e ⁻¹' s) μ := by
simp_rw [IntegrableOn, he.restrict_map, he.integrable_map_iff]
theorem _root_.MeasurableEmbedding.integrableOn_iff_comap [MeasurableSpace β] {e : α → β}
(he : MeasurableEmbedding e) {f : β → E} {μ : Measure β} {s : Set β} (hs : s ⊆ range e) :
IntegrableOn f s μ ↔ IntegrableOn (f ∘ e) (e ⁻¹' s) (μ.comap e) := by
simp_rw [← he.integrableOn_map_iff, he.map_comap, IntegrableOn,
Measure.restrict_restrict_of_subset hs]
theorem _root_.MeasurableEmbedding.integrableOn_range_iff_comap [MeasurableSpace β] {e : α → β}
(he : MeasurableEmbedding e) {f : β → E} {μ : Measure β} :
IntegrableOn f (range e) μ ↔ Integrable (f ∘ e) (μ.comap e) := by
rw [he.integrableOn_iff_comap .rfl, preimage_range, integrableOn_univ]
theorem integrableOn_iff_comap_subtypeVal (hs : MeasurableSet s) :
IntegrableOn f s μ ↔ Integrable (f ∘ (↑) : s → E) (μ.comap (↑)) := by
rw [← (MeasurableEmbedding.subtype_coe hs).integrableOn_range_iff_comap, Subtype.range_val]
theorem integrableOn_map_equiv [MeasurableSpace β] (e : α ≃ᵐ β) {f : β → E} {μ : Measure α}
{s : Set β} : IntegrableOn f s (μ.map e) ↔ IntegrableOn (f ∘ e) (e ⁻¹' s) μ := by
simp only [IntegrableOn, e.restrict_map, integrable_map_equiv e]
theorem MeasurePreserving.integrableOn_comp_preimage [MeasurableSpace β] {e : α → β} {ν}
(h₁ : MeasurePreserving e μ ν) (h₂ : MeasurableEmbedding e) {f : β → E} {s : Set β} :
IntegrableOn (f ∘ e) (e ⁻¹' s) μ ↔ IntegrableOn f s ν :=
(h₁.restrict_preimage_emb h₂ s).integrable_comp_emb h₂
theorem MeasurePreserving.integrableOn_image [MeasurableSpace β] {e : α → β} {ν}
(h₁ : MeasurePreserving e μ ν) (h₂ : MeasurableEmbedding e) {f : β → E} {s : Set α} :
IntegrableOn f (e '' s) ν ↔ IntegrableOn (f ∘ e) s μ :=
((h₁.restrict_image_emb h₂ s).integrable_comp_emb h₂).symm
theorem integrable_indicator_iff (hs : MeasurableSet s) :
Integrable (indicator s f) μ ↔ IntegrableOn f s μ := by
simp_rw [IntegrableOn, Integrable, hasFiniteIntegral_iff_enorm,
enorm_indicator_eq_indicator_enorm, lintegral_indicator hs,
aestronglyMeasurable_indicator_iff hs]
theorem IntegrableOn.integrable_indicator (h : IntegrableOn f s μ) (hs : MeasurableSet s) :
Integrable (indicator s f) μ :=
(integrable_indicator_iff hs).2 h
@[fun_prop]
theorem Integrable.indicator (h : Integrable f μ) (hs : MeasurableSet s) :
Integrable (indicator s f) μ :=
h.integrableOn.integrable_indicator hs
theorem IntegrableOn.indicator (h : IntegrableOn f s μ) (ht : MeasurableSet t) :
IntegrableOn (indicator t f) s μ :=
Integrable.indicator h ht
theorem integrable_indicatorConstLp {E} [NormedAddCommGroup E] {p : ℝ≥0∞} {s : Set α}
(hs : MeasurableSet s) (hμs : μ s ≠ ∞) (c : E) :
Integrable (indicatorConstLp p hs hμs c) μ := by
rw [integrable_congr indicatorConstLp_coeFn, integrable_indicator_iff hs, IntegrableOn,
integrable_const_iff, isFiniteMeasure_restrict]
exact .inr hμs
/-- If a function is integrable on a set `s` and nonzero there, then the measurable hull of `s` is
well behaved: the restriction of the measure to `toMeasurable μ s` coincides with its restriction
to `s`. -/
theorem IntegrableOn.restrict_toMeasurable (hf : IntegrableOn f s μ) (h's : ∀ x ∈ s, f x ≠ 0) :
μ.restrict (toMeasurable μ s) = μ.restrict s := by
rcases exists_seq_strictAnti_tendsto (0 : ℝ) with ⟨u, _, u_pos, u_lim⟩
let v n := toMeasurable (μ.restrict s) { x | u n ≤ ‖f x‖ }
have A : ∀ n, μ (s ∩ v n) ≠ ∞ := by
intro n
rw [inter_comm, ← Measure.restrict_apply (measurableSet_toMeasurable _ _),
measure_toMeasurable]
exact (hf.measure_norm_ge_lt_top (u_pos n)).ne
apply Measure.restrict_toMeasurable_of_cover _ A
intro x hx
have : 0 < ‖f x‖ := by simp only [h's x hx, norm_pos_iff, Ne, not_false_iff]
obtain ⟨n, hn⟩ : ∃ n, u n < ‖f x‖ := ((tendsto_order.1 u_lim).2 _ this).exists
exact mem_iUnion.2 ⟨n, subset_toMeasurable _ _ hn.le⟩
/-- If a function is integrable on a set `s`, and vanishes on `t \ s`, then it is integrable on `t`
if `t` is null-measurable. -/
theorem IntegrableOn.of_ae_diff_eq_zero (hf : IntegrableOn f s μ) (ht : NullMeasurableSet t μ)
(h't : ∀ᵐ x ∂μ, x ∈ t \ s → f x = 0) : IntegrableOn f t μ := by
let u := { x ∈ s | f x ≠ 0 }
have hu : IntegrableOn f u μ := hf.mono_set fun x hx => hx.1
let v := toMeasurable μ u
have A : IntegrableOn f v μ := by
rw [IntegrableOn, hu.restrict_toMeasurable]
· exact hu
· intro x hx; exact hx.2
have B : IntegrableOn f (t \ v) μ := by
apply integrableOn_zero.congr
filter_upwards [ae_restrict_of_ae h't,
ae_restrict_mem₀ (ht.diff (measurableSet_toMeasurable μ u).nullMeasurableSet)] with x hxt hx
by_cases h'x : x ∈ s
· by_contra H
exact hx.2 (subset_toMeasurable μ u ⟨h'x, Ne.symm H⟩)
· exact (hxt ⟨hx.1, h'x⟩).symm
apply (A.union B).mono_set _
rw [union_diff_self]
exact subset_union_right
/-- If a function is integrable on a set `s`, and vanishes on `t \ s`, then it is integrable on `t`
if `t` is measurable. -/
theorem IntegrableOn.of_forall_diff_eq_zero (hf : IntegrableOn f s μ) (ht : MeasurableSet t)
(h't : ∀ x ∈ t \ s, f x = 0) : IntegrableOn f t μ :=
hf.of_ae_diff_eq_zero ht.nullMeasurableSet (Eventually.of_forall h't)
/-- If a function is integrable on a set `s` and vanishes almost everywhere on its complement,
then it is integrable. -/
theorem IntegrableOn.integrable_of_ae_not_mem_eq_zero (hf : IntegrableOn f s μ)
(h't : ∀ᵐ x ∂μ, x ∉ s → f x = 0) : Integrable f μ := by
rw [← integrableOn_univ]
apply hf.of_ae_diff_eq_zero nullMeasurableSet_univ
filter_upwards [h't] with x hx h'x using hx h'x.2
/-- If a function is integrable on a set `s` and vanishes everywhere on its complement,
then it is integrable. -/
theorem IntegrableOn.integrable_of_forall_not_mem_eq_zero (hf : IntegrableOn f s μ)
(h't : ∀ x, x ∉ s → f x = 0) : Integrable f μ :=
hf.integrable_of_ae_not_mem_eq_zero (Eventually.of_forall fun x hx => h't x hx)
theorem integrableOn_iff_integrable_of_support_subset (h1s : support f ⊆ s) :
IntegrableOn f s μ ↔ Integrable f μ := by
refine ⟨fun h => ?_, fun h => h.integrableOn⟩
refine h.integrable_of_forall_not_mem_eq_zero fun x hx => ?_
contrapose! hx
exact h1s (mem_support.2 hx)
theorem integrableOn_Lp_of_measure_ne_top {E} [NormedAddCommGroup E] {p : ℝ≥0∞} {s : Set α}
(f : Lp E p μ) (hp : 1 ≤ p) (hμs : μ s ≠ ∞) : IntegrableOn f s μ := by
refine memLp_one_iff_integrable.mp ?_
have hμ_restrict_univ : (μ.restrict s) Set.univ < ∞ := by
simpa only [Set.univ_inter, MeasurableSet.univ, Measure.restrict_apply, lt_top_iff_ne_top]
haveI hμ_finite : IsFiniteMeasure (μ.restrict s) := ⟨hμ_restrict_univ⟩
exact ((Lp.memLp _).restrict s).mono_exponent hp
theorem Integrable.lintegral_lt_top {f : α → ℝ} (hf : Integrable f μ) :
(∫⁻ x, ENNReal.ofReal (f x) ∂μ) < ∞ :=
calc
(∫⁻ x, ENNReal.ofReal (f x) ∂μ) ≤ ∫⁻ x, ↑‖f x‖₊ ∂μ := lintegral_ofReal_le_lintegral_enorm f
_ < ∞ := hf.2
theorem IntegrableOn.setLIntegral_lt_top {f : α → ℝ} {s : Set α} (hf : IntegrableOn f s μ) :
(∫⁻ x in s, ENNReal.ofReal (f x) ∂μ) < ∞ :=
Integrable.lintegral_lt_top hf
/-- We say that a function `f` is *integrable at filter* `l` if it is integrable on some
set `s ∈ l`. Equivalently, it is eventually integrable on `s` in `l.smallSets`. -/
def IntegrableAtFilter (f : α → ε) (l : Filter α) (μ : Measure α := by volume_tac) :=
∃ s ∈ l, IntegrableOn f s μ
variable {l l' : Filter α}
theorem _root_.MeasurableEmbedding.integrableAtFilter_map_iff [MeasurableSpace β] {e : α → β}
(he : MeasurableEmbedding e) {f : β → E} :
IntegrableAtFilter f (l.map e) (μ.map e) ↔ IntegrableAtFilter (f ∘ e) l μ := by
simp_rw [IntegrableAtFilter, he.integrableOn_map_iff]
constructor <;> rintro ⟨s, hs⟩
· exact ⟨_, hs⟩
· exact ⟨e '' s, by rwa [mem_map, he.injective.preimage_image]⟩
theorem _root_.MeasurableEmbedding.integrableAtFilter_iff_comap [MeasurableSpace β] {e : α → β}
(he : MeasurableEmbedding e) {f : β → E} {μ : Measure β} :
IntegrableAtFilter f (l.map e) μ ↔ IntegrableAtFilter (f ∘ e) l (μ.comap e) := by
simp_rw [← he.integrableAtFilter_map_iff, IntegrableAtFilter, he.map_comap]
constructor <;> rintro ⟨s, hs, int⟩
· exact ⟨s, hs, int.mono_measure <| μ.restrict_le_self⟩
· exact ⟨_, inter_mem hs range_mem_map, int.inter_of_restrict⟩
theorem Integrable.integrableAtFilter (h : Integrable f μ) (l : Filter α) :
IntegrableAtFilter f l μ :=
⟨univ, Filter.univ_mem, integrableOn_univ.2 h⟩
protected theorem IntegrableAtFilter.eventually (h : IntegrableAtFilter f l μ) :
∀ᶠ s in l.smallSets, IntegrableOn f s μ :=
Iff.mpr (eventually_smallSets' fun _s _t hst ht => ht.mono_set hst) h
theorem integrableAtFilter_atBot_iff [Preorder α] [IsDirected α fun (x1 x2 : α) => x1 ≥ x2]
[Nonempty α] :
IntegrableAtFilter f atBot μ ↔ ∃ a, IntegrableOn f (Iic a) μ := by
refine ⟨fun ⟨s, hs, hi⟩ ↦ ?_, fun ⟨a, ha⟩ ↦ ⟨Iic a, Iic_mem_atBot a, ha⟩⟩
obtain ⟨t, ht⟩ := mem_atBot_sets.mp hs
exact ⟨t, hi.mono_set fun _ hx ↦ ht _ hx⟩
theorem integrableAtFilter_atTop_iff [Preorder α] [IsDirected α fun (x1 x2 : α) => x1 ≤ x2]
[Nonempty α] :
IntegrableAtFilter f atTop μ ↔ ∃ a, IntegrableOn f (Ici a) μ :=
integrableAtFilter_atBot_iff (α := αᵒᵈ)
protected theorem IntegrableAtFilter.add {f g : α → E}
(hf : IntegrableAtFilter f l μ) (hg : IntegrableAtFilter g l μ) :
IntegrableAtFilter (f + g) l μ := by
rcases hf with ⟨s, sl, hs⟩
rcases hg with ⟨t, tl, ht⟩
refine ⟨s ∩ t, inter_mem sl tl, ?_⟩
exact (hs.mono_set inter_subset_left).add (ht.mono_set inter_subset_right)
protected theorem IntegrableAtFilter.neg {f : α → E} (hf : IntegrableAtFilter f l μ) :
IntegrableAtFilter (-f) l μ := by
rcases hf with ⟨s, sl, hs⟩
exact ⟨s, sl, hs.neg⟩
protected theorem IntegrableAtFilter.sub {f g : α → E}
(hf : IntegrableAtFilter f l μ) (hg : IntegrableAtFilter g l μ) :
IntegrableAtFilter (f - g) l μ := by
rw [sub_eq_add_neg]
exact hf.add hg.neg
protected theorem IntegrableAtFilter.smul {𝕜 : Type*} [NormedAddCommGroup 𝕜] [SMulZeroClass 𝕜 E]
[IsBoundedSMul 𝕜 E] {f : α → E} (hf : IntegrableAtFilter f l μ) (c : 𝕜) :
IntegrableAtFilter (c • f) l μ := by
rcases hf with ⟨s, sl, hs⟩
exact ⟨s, sl, hs.smul c⟩
protected theorem IntegrableAtFilter.norm (hf : IntegrableAtFilter f l μ) :
IntegrableAtFilter (fun x => ‖f x‖) l μ :=
Exists.casesOn hf fun s hs ↦ ⟨s, hs.1, hs.2.norm⟩
theorem IntegrableAtFilter.filter_mono (hl : l ≤ l') (hl' : IntegrableAtFilter f l' μ) :
IntegrableAtFilter f l μ :=
let ⟨s, hs, hsf⟩ := hl'
⟨s, hl hs, hsf⟩
theorem IntegrableAtFilter.inf_of_left (hl : IntegrableAtFilter f l μ) :
IntegrableAtFilter f (l ⊓ l') μ :=
hl.filter_mono inf_le_left
theorem IntegrableAtFilter.inf_of_right (hl : IntegrableAtFilter f l μ) :
IntegrableAtFilter f (l' ⊓ l) μ :=
hl.filter_mono inf_le_right
@[simp]
theorem IntegrableAtFilter.inf_ae_iff {l : Filter α} :
IntegrableAtFilter f (l ⊓ ae μ) μ ↔ IntegrableAtFilter f l μ := by
refine ⟨?_, fun h ↦ h.filter_mono inf_le_left⟩
rintro ⟨s, ⟨t, ht, u, hu, rfl⟩, hf⟩
refine ⟨t, ht, hf.congr_set_ae <| eventuallyEq_set.2 ?_⟩
filter_upwards [hu] with x hx using (and_iff_left hx).symm
alias ⟨IntegrableAtFilter.of_inf_ae, _⟩ := IntegrableAtFilter.inf_ae_iff
@[simp]
theorem integrableAtFilter_top : IntegrableAtFilter f ⊤ μ ↔ Integrable f μ := by
refine ⟨fun h ↦ ?_, fun h ↦ h.integrableAtFilter ⊤⟩
obtain ⟨s, hsf, hs⟩ := h
exact (integrableOn_iff_integrable_of_support_subset fun _ _ ↦ hsf _).mp hs
theorem IntegrableAtFilter.sup_iff {l l' : Filter α} :
IntegrableAtFilter f (l ⊔ l') μ ↔ IntegrableAtFilter f l μ ∧ IntegrableAtFilter f l' μ := by
constructor
· exact fun h => ⟨h.filter_mono le_sup_left, h.filter_mono le_sup_right⟩
· exact fun ⟨⟨s, hsl, hs⟩, ⟨t, htl, ht⟩⟩ ↦ ⟨s ∪ t, union_mem_sup hsl htl, hs.union ht⟩
/-- If `μ` is a measure finite at filter `l` and `f` is a function such that its norm is bounded
above at `l`, then `f` is integrable at `l`. -/
theorem Measure.FiniteAtFilter.integrableAtFilter {l : Filter α} [IsMeasurablyGenerated l]
(hfm : StronglyMeasurableAtFilter f l μ) (hμ : μ.FiniteAtFilter l)
(hf : l.IsBoundedUnder (· ≤ ·) (norm ∘ f)) : IntegrableAtFilter f l μ := by
obtain ⟨C, hC⟩ : ∃ C, ∀ᶠ s in l.smallSets, ∀ x ∈ s, ‖f x‖ ≤ C :=
hf.imp fun C hC => eventually_smallSets.2 ⟨_, hC, fun t => id⟩
rcases (hfm.eventually.and (hμ.eventually.and hC)).exists_measurable_mem_of_smallSets with
⟨s, hsl, hsm, hfm, hμ, hC⟩
refine ⟨s, hsl, ⟨hfm, hasFiniteIntegral_restrict_of_bounded hμ (C := C) ?_⟩⟩
rw [ae_restrict_eq hsm, eventually_inf_principal]
exact Eventually.of_forall hC
theorem Measure.FiniteAtFilter.integrableAtFilter_of_tendsto_ae {l : Filter α}
[IsMeasurablyGenerated l] (hfm : StronglyMeasurableAtFilter f l μ) (hμ : μ.FiniteAtFilter l) {b}
(hf : Tendsto f (l ⊓ ae μ) (𝓝 b)) : IntegrableAtFilter f l μ :=
(hμ.inf_of_left.integrableAtFilter (hfm.filter_mono inf_le_left)
hf.norm.isBoundedUnder_le).of_inf_ae
alias _root_.Filter.Tendsto.integrableAtFilter_ae :=
Measure.FiniteAtFilter.integrableAtFilter_of_tendsto_ae
theorem Measure.FiniteAtFilter.integrableAtFilter_of_tendsto {l : Filter α}
[IsMeasurablyGenerated l] (hfm : StronglyMeasurableAtFilter f l μ) (hμ : μ.FiniteAtFilter l) {b}
(hf : Tendsto f l (𝓝 b)) : IntegrableAtFilter f l μ :=
hμ.integrableAtFilter hfm hf.norm.isBoundedUnder_le
alias _root_.Filter.Tendsto.integrableAtFilter :=
Measure.FiniteAtFilter.integrableAtFilter_of_tendsto
lemma Measure.integrableOn_of_bounded (s_finite : μ s ≠ ∞) (f_mble : AEStronglyMeasurable f μ)
{M : ℝ} (f_bdd : ∀ᵐ a ∂(μ.restrict s), ‖f a‖ ≤ M) :
IntegrableOn f s μ :=
⟨f_mble.restrict, hasFiniteIntegral_restrict_of_bounded (C := M) s_finite.lt_top f_bdd⟩
theorem integrable_add_of_disjoint {f g : α → E} (h : Disjoint (support f) (support g))
(hf : StronglyMeasurable f) (hg : StronglyMeasurable g) :
Integrable (f + g) μ ↔ Integrable f μ ∧ Integrable g μ := by
refine ⟨fun hfg => ⟨?_, ?_⟩, fun h => h.1.add h.2⟩
· rw [← indicator_add_eq_left h]; exact hfg.indicator hf.measurableSet_support
· rw [← indicator_add_eq_right h]; exact hfg.indicator hg.measurableSet_support
/-- If a function converges along a filter to a limit `a`, is integrable along this filter, and
all elements of the filter have infinite measure, then the limit has to vanish. -/
lemma IntegrableAtFilter.eq_zero_of_tendsto
(h : IntegrableAtFilter f l μ) (h' : ∀ s ∈ l, μ s = ∞) {a : E}
(hf : Tendsto f l (𝓝 a)) : a = 0 := by
by_contra H
obtain ⟨ε, εpos, hε⟩ : ∃ (ε : ℝ), 0 < ε ∧ ε < ‖a‖ := exists_between (norm_pos_iff.mpr H)
rcases h with ⟨u, ul, hu⟩
let v := u ∩ {b | ε < ‖f b‖}
have hv : IntegrableOn f v μ := hu.mono_set inter_subset_left
have vl : v ∈ l := inter_mem ul ((tendsto_order.1 hf.norm).1 _ hε)
have : μ.restrict v v < ∞ := lt_of_le_of_lt (measure_mono inter_subset_right)
(Integrable.measure_gt_lt_top hv.norm εpos)
have : μ v ≠ ∞ := ne_of_lt (by simpa only [Measure.restrict_apply_self])
exact this (h' v vl)
end NormedAddCommGroup
end MeasureTheory
open MeasureTheory
variable [NormedAddCommGroup E]
/-- A function which is continuous on a set `s` is almost everywhere measurable with respect to
`μ.restrict s`. -/
theorem ContinuousOn.aemeasurable [TopologicalSpace α] [OpensMeasurableSpace α] [MeasurableSpace β]
[TopologicalSpace β] [BorelSpace β] {f : α → β} {s : Set α} {μ : Measure α}
(hf : ContinuousOn f s) (hs : MeasurableSet s) : AEMeasurable f (μ.restrict s) := by
classical
nontriviality α; inhabit α
have : (Set.piecewise s f fun _ => f default) =ᵐ[μ.restrict s] f := piecewise_ae_eq_restrict hs
refine ⟨Set.piecewise s f fun _ => f default, ?_, this.symm⟩
apply measurable_of_isOpen
intro t ht
obtain ⟨u, u_open, hu⟩ : ∃ u : Set α, IsOpen u ∧ f ⁻¹' t ∩ s = u ∩ s :=
_root_.continuousOn_iff'.1 hf t ht
rw [piecewise_preimage, Set.ite, hu]
exact (u_open.measurableSet.inter hs).union ((measurable_const ht.measurableSet).diff hs)
/-- A function which is continuous on a separable set `s` is almost everywhere strongly measurable
with respect to `μ.restrict s`. -/
theorem ContinuousOn.aestronglyMeasurable_of_isSeparable [TopologicalSpace α]
[PseudoMetrizableSpace α] [OpensMeasurableSpace α] [TopologicalSpace β]
[PseudoMetrizableSpace β] {f : α → β} {s : Set α} {μ : Measure α} (hf : ContinuousOn f s)
(hs : MeasurableSet s) (h's : TopologicalSpace.IsSeparable s) :
AEStronglyMeasurable f (μ.restrict s) := by
letI := pseudoMetrizableSpacePseudoMetric α
borelize β
rw [aestronglyMeasurable_iff_aemeasurable_separable]
refine ⟨hf.aemeasurable hs, f '' s, hf.isSeparable_image h's, ?_⟩
exact mem_of_superset (self_mem_ae_restrict hs) (subset_preimage_image _ _)
/-- A function which is continuous on a set `s` is almost everywhere strongly measurable with
respect to `μ.restrict s` when either the source space or the target space is second-countable. -/
theorem ContinuousOn.aestronglyMeasurable [TopologicalSpace α] [TopologicalSpace β]
[h : SecondCountableTopologyEither α β] [OpensMeasurableSpace α] [PseudoMetrizableSpace β]
{f : α → β} {s : Set α} {μ : Measure α} (hf : ContinuousOn f s) (hs : MeasurableSet s) :
AEStronglyMeasurable f (μ.restrict s) := by
borelize β
refine
aestronglyMeasurable_iff_aemeasurable_separable.2
⟨hf.aemeasurable hs, f '' s, ?_,
mem_of_superset (self_mem_ae_restrict hs) (subset_preimage_image _ _)⟩
cases h.out
· rw [image_eq_range]
exact isSeparable_range <| continuousOn_iff_continuous_restrict.1 hf
· exact .of_separableSpace _
/-- A function which is continuous on a compact set `s` is almost everywhere strongly measurable
with respect to `μ.restrict s`. -/
theorem ContinuousOn.aestronglyMeasurable_of_isCompact [TopologicalSpace α] [OpensMeasurableSpace α]
[TopologicalSpace β] [PseudoMetrizableSpace β] {f : α → β} {s : Set α} {μ : Measure α}
(hf : ContinuousOn f s) (hs : IsCompact s) (h's : MeasurableSet s) :
AEStronglyMeasurable f (μ.restrict s) := by
letI := pseudoMetrizableSpacePseudoMetric β
borelize β
rw [aestronglyMeasurable_iff_aemeasurable_separable]
refine ⟨hf.aemeasurable h's, f '' s, ?_, ?_⟩
· exact (hs.image_of_continuousOn hf).isSeparable
· exact mem_of_superset (self_mem_ae_restrict h's) (subset_preimage_image _ _)
theorem ContinuousOn.integrableAt_nhdsWithin_of_isSeparable [TopologicalSpace α]
[PseudoMetrizableSpace α] [OpensMeasurableSpace α] {μ : Measure α} [IsLocallyFiniteMeasure μ]
{a : α} {t : Set α} {f : α → E} (hft : ContinuousOn f t) (ht : MeasurableSet t)
(h't : TopologicalSpace.IsSeparable t) (ha : a ∈ t) : IntegrableAtFilter f (𝓝[t] a) μ :=
haveI : (𝓝[t] a).IsMeasurablyGenerated := ht.nhdsWithin_isMeasurablyGenerated _
(hft a ha).integrableAtFilter
⟨_, self_mem_nhdsWithin, hft.aestronglyMeasurable_of_isSeparable ht h't⟩
(μ.finiteAt_nhdsWithin _ _)
theorem ContinuousOn.integrableAt_nhdsWithin [TopologicalSpace α]
[SecondCountableTopologyEither α E] [OpensMeasurableSpace α] {μ : Measure α}
[IsLocallyFiniteMeasure μ] {a : α} {t : Set α} {f : α → E} (hft : ContinuousOn f t)
(ht : MeasurableSet t) (ha : a ∈ t) : IntegrableAtFilter f (𝓝[t] a) μ :=
haveI : (𝓝[t] a).IsMeasurablyGenerated := ht.nhdsWithin_isMeasurablyGenerated _
(hft a ha).integrableAtFilter ⟨_, self_mem_nhdsWithin, hft.aestronglyMeasurable ht⟩
(μ.finiteAt_nhdsWithin _ _)
theorem Continuous.integrableAt_nhds [TopologicalSpace α] [SecondCountableTopologyEither α E]
[OpensMeasurableSpace α] {μ : Measure α} [IsLocallyFiniteMeasure μ] {f : α → E}
(hf : Continuous f) (a : α) : IntegrableAtFilter f (𝓝 a) μ := by
rw [← nhdsWithin_univ]
exact hf.continuousOn.integrableAt_nhdsWithin MeasurableSet.univ (mem_univ a)
/-- If a function is continuous on an open set `s`, then it is strongly measurable at the filter
`𝓝 x` for all `x ∈ s` if either the source space or the target space is second-countable. -/
theorem ContinuousOn.stronglyMeasurableAtFilter [TopologicalSpace α] [OpensMeasurableSpace α]
[TopologicalSpace β] [PseudoMetrizableSpace β] [SecondCountableTopologyEither α β] {f : α → β}
{s : Set α} {μ : Measure α} (hs : IsOpen s) (hf : ContinuousOn f s) :
∀ x ∈ s, StronglyMeasurableAtFilter f (𝓝 x) μ := fun _x hx =>
⟨s, IsOpen.mem_nhds hs hx, hf.aestronglyMeasurable hs.measurableSet⟩
theorem ContinuousAt.stronglyMeasurableAtFilter [TopologicalSpace α] [OpensMeasurableSpace α]
[SecondCountableTopologyEither α E] {f : α → E} {s : Set α} {μ : Measure α} (hs : IsOpen s)
(hf : ∀ x ∈ s, ContinuousAt f x) : ∀ x ∈ s, StronglyMeasurableAtFilter f (𝓝 x) μ :=
ContinuousOn.stronglyMeasurableAtFilter hs <| continuousOn_of_forall_continuousAt hf
theorem Continuous.stronglyMeasurableAtFilter [TopologicalSpace α] [OpensMeasurableSpace α]
[TopologicalSpace β] [PseudoMetrizableSpace β] [SecondCountableTopologyEither α β] {f : α → β}
(hf : Continuous f) (μ : Measure α) (l : Filter α) : StronglyMeasurableAtFilter f l μ :=
hf.stronglyMeasurable.stronglyMeasurableAtFilter
/-- If a function is continuous on a measurable set `s`, then it is measurable at the filter
`𝓝[s] x` for all `x`. -/
theorem ContinuousOn.stronglyMeasurableAtFilter_nhdsWithin {α β : Type*} [MeasurableSpace α]
[TopologicalSpace α] [OpensMeasurableSpace α] [TopologicalSpace β] [PseudoMetrizableSpace β]
[SecondCountableTopologyEither α β] {f : α → β} {s : Set α} {μ : Measure α}
(hf : ContinuousOn f s) (hs : MeasurableSet s) (x : α) :
StronglyMeasurableAtFilter f (𝓝[s] x) μ :=
⟨s, self_mem_nhdsWithin, hf.aestronglyMeasurable hs⟩
/-! ### Lemmas about adding and removing interval boundaries
The primed lemmas take explicit arguments about the measure being finite at the endpoint, while
the unprimed ones use `[NoAtoms μ]`.
-/
section PartialOrder
variable [PartialOrder α] [MeasurableSingletonClass α] {f : α → E} {μ : Measure α} {a b : α}
theorem integrableOn_Icc_iff_integrableOn_Ioc' (ha : μ {a} ≠ ∞) :
IntegrableOn f (Icc a b) μ ↔ IntegrableOn f (Ioc a b) μ := by
by_cases hab : a ≤ b
· rw [← Ioc_union_left hab, integrableOn_union,
eq_true (integrableOn_singleton_iff.mpr <| Or.inr ha.lt_top), and_true]
· rw [Icc_eq_empty hab, Ioc_eq_empty]
contrapose! hab
exact hab.le
theorem integrableOn_Icc_iff_integrableOn_Ico' (hb : μ {b} ≠ ∞) :
IntegrableOn f (Icc a b) μ ↔ IntegrableOn f (Ico a b) μ := by
by_cases hab : a ≤ b
· rw [← Ico_union_right hab, integrableOn_union,
eq_true (integrableOn_singleton_iff.mpr <| Or.inr hb.lt_top), and_true]
· rw [Icc_eq_empty hab, Ico_eq_empty]
contrapose! hab
exact hab.le
theorem integrableOn_Ico_iff_integrableOn_Ioo' (ha : μ {a} ≠ ∞) :
IntegrableOn f (Ico a b) μ ↔ IntegrableOn f (Ioo a b) μ := by
by_cases hab : a < b
· rw [← Ioo_union_left hab, integrableOn_union,
eq_true (integrableOn_singleton_iff.mpr <| Or.inr ha.lt_top), and_true]
· rw [Ioo_eq_empty hab, Ico_eq_empty hab]
theorem integrableOn_Ioc_iff_integrableOn_Ioo' (hb : μ {b} ≠ ∞) :
IntegrableOn f (Ioc a b) μ ↔ IntegrableOn f (Ioo a b) μ := by
by_cases hab : a < b
· rw [← Ioo_union_right hab, integrableOn_union,
eq_true (integrableOn_singleton_iff.mpr <| Or.inr hb.lt_top), and_true]
· rw [Ioo_eq_empty hab, Ioc_eq_empty hab]
theorem integrableOn_Icc_iff_integrableOn_Ioo' (ha : μ {a} ≠ ∞) (hb : μ {b} ≠ ∞) :
IntegrableOn f (Icc a b) μ ↔ IntegrableOn f (Ioo a b) μ := by
rw [integrableOn_Icc_iff_integrableOn_Ioc' ha, integrableOn_Ioc_iff_integrableOn_Ioo' hb]
theorem integrableOn_Ici_iff_integrableOn_Ioi' (hb : μ {b} ≠ ∞) :
IntegrableOn f (Ici b) μ ↔ IntegrableOn f (Ioi b) μ := by
rw [← Ioi_union_left, integrableOn_union,
eq_true (integrableOn_singleton_iff.mpr <| Or.inr hb.lt_top), and_true]
theorem integrableOn_Iic_iff_integrableOn_Iio' (hb : μ {b} ≠ ∞) :
IntegrableOn f (Iic b) μ ↔ IntegrableOn f (Iio b) μ := by
rw [← Iio_union_right, integrableOn_union,
eq_true (integrableOn_singleton_iff.mpr <| Or.inr hb.lt_top), and_true]
variable [NoAtoms μ]
theorem integrableOn_Icc_iff_integrableOn_Ioc :
IntegrableOn f (Icc a b) μ ↔ IntegrableOn f (Ioc a b) μ :=
integrableOn_Icc_iff_integrableOn_Ioc' (by rw [measure_singleton]; exact ENNReal.zero_ne_top)
theorem integrableOn_Icc_iff_integrableOn_Ico :
IntegrableOn f (Icc a b) μ ↔ IntegrableOn f (Ico a b) μ :=
integrableOn_Icc_iff_integrableOn_Ico' (by rw [measure_singleton]; exact ENNReal.zero_ne_top)
theorem integrableOn_Ico_iff_integrableOn_Ioo :
IntegrableOn f (Ico a b) μ ↔ IntegrableOn f (Ioo a b) μ :=
integrableOn_Ico_iff_integrableOn_Ioo' (by rw [measure_singleton]; exact ENNReal.zero_ne_top)
theorem integrableOn_Ioc_iff_integrableOn_Ioo :
IntegrableOn f (Ioc a b) μ ↔ IntegrableOn f (Ioo a b) μ :=
integrableOn_Ioc_iff_integrableOn_Ioo' (by rw [measure_singleton]; exact ENNReal.zero_ne_top)
theorem integrableOn_Icc_iff_integrableOn_Ioo :
IntegrableOn f (Icc a b) μ ↔ IntegrableOn f (Ioo a b) μ := by
rw [integrableOn_Icc_iff_integrableOn_Ioc, integrableOn_Ioc_iff_integrableOn_Ioo]
theorem integrableOn_Ici_iff_integrableOn_Ioi :
IntegrableOn f (Ici b) μ ↔ IntegrableOn f (Ioi b) μ :=
integrableOn_Ici_iff_integrableOn_Ioi' (by rw [measure_singleton]; exact ENNReal.zero_ne_top)
theorem integrableOn_Iic_iff_integrableOn_Iio :
IntegrableOn f (Iic b) μ ↔ IntegrableOn f (Iio b) μ :=
integrableOn_Iic_iff_integrableOn_Iio' (by rw [measure_singleton]; exact ENNReal.zero_ne_top)
end PartialOrder
| Mathlib/MeasureTheory/Integral/IntegrableOn.lean | 743 | 746 | |
/-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro, Floris van Doorn, Violeta Hernández Palacios
-/
import Mathlib.Algebra.GroupWithZero.Divisibility
import Mathlib.Data.Nat.SuccPred
import Mathlib.Order.SuccPred.InitialSeg
import Mathlib.SetTheory.Ordinal.Basic
/-!
# Ordinal arithmetic
Ordinals have an addition (corresponding to disjoint union) that turns them into an additive
monoid, and a multiplication (corresponding to the lexicographic order on the product) that turns
them into a monoid. One can also define correspondingly a subtraction, a division, a successor
function, a power function and a logarithm function.
We also define limit ordinals and prove the basic induction principle on ordinals separating
successor ordinals and limit ordinals, in `limitRecOn`.
## Main definitions and results
* `o₁ + o₂` is the order on the disjoint union of `o₁` and `o₂` obtained by declaring that
every element of `o₁` is smaller than every element of `o₂`.
* `o₁ - o₂` is the unique ordinal `o` such that `o₂ + o = o₁`, when `o₂ ≤ o₁`.
* `o₁ * o₂` is the lexicographic order on `o₂ × o₁`.
* `o₁ / o₂` is the ordinal `o` such that `o₁ = o₂ * o + o'` with `o' < o₂`. We also define the
divisibility predicate, and a modulo operation.
* `Order.succ o = o + 1` is the successor of `o`.
* `pred o` if the predecessor of `o`. If `o` is not a successor, we set `pred o = o`.
We discuss the properties of casts of natural numbers of and of `ω` with respect to these
operations.
Some properties of the operations are also used to discuss general tools on ordinals:
* `IsLimit o`: an ordinal is a limit ordinal if it is neither `0` nor a successor.
* `limitRecOn` is the main induction principle of ordinals: if one can prove a property by
induction at successor ordinals and at limit ordinals, then it holds for all ordinals.
* `IsNormal`: a function `f : Ordinal → Ordinal` satisfies `IsNormal` if it is strictly increasing
and order-continuous, i.e., the image `f o` of a limit ordinal `o` is the sup of `f a` for
`a < o`.
Various other basic arithmetic results are given in `Principal.lean` instead.
-/
assert_not_exists Field Module
noncomputable section
open Function Cardinal Set Equiv Order
open scoped Ordinal
universe u v w
namespace Ordinal
variable {α β γ : Type*} {r : α → α → Prop} {s : β → β → Prop} {t : γ → γ → Prop}
/-! ### Further properties of addition on ordinals -/
@[simp]
theorem lift_add (a b : Ordinal.{v}) : lift.{u} (a + b) = lift.{u} a + lift.{u} b :=
Quotient.inductionOn₂ a b fun ⟨_α, _r, _⟩ ⟨_β, _s, _⟩ =>
Quotient.sound
⟨(RelIso.preimage Equiv.ulift _).trans
(RelIso.sumLexCongr (RelIso.preimage Equiv.ulift _) (RelIso.preimage Equiv.ulift _)).symm⟩
@[simp]
theorem lift_succ (a : Ordinal.{v}) : lift.{u} (succ a) = succ (lift.{u} a) := by
rw [← add_one_eq_succ, lift_add, lift_one]
rfl
instance instAddLeftReflectLE :
AddLeftReflectLE Ordinal.{u} where
elim c a b := by
refine inductionOn₃ a b c fun α r _ β s _ γ t _ ⟨f⟩ ↦ ?_
have H₁ a : f (Sum.inl a) = Sum.inl a := by
simpa using ((InitialSeg.leAdd t r).trans f).eq (InitialSeg.leAdd t s) a
have H₂ a : ∃ b, f (Sum.inr a) = Sum.inr b := by
generalize hx : f (Sum.inr a) = x
obtain x | x := x
· rw [← H₁, f.inj] at hx
contradiction
· exact ⟨x, rfl⟩
choose g hg using H₂
refine (RelEmbedding.ofMonotone g fun _ _ h ↦ ?_).ordinal_type_le
rwa [← @Sum.lex_inr_inr _ t _ s, ← hg, ← hg, f.map_rel_iff, Sum.lex_inr_inr]
instance : IsLeftCancelAdd Ordinal where
add_left_cancel a b c h := by simpa only [le_antisymm_iff, add_le_add_iff_left] using h
@[deprecated add_left_cancel_iff (since := "2024-12-11")]
protected theorem add_left_cancel (a) {b c : Ordinal} : a + b = a + c ↔ b = c :=
add_left_cancel_iff
private theorem add_lt_add_iff_left' (a) {b c : Ordinal} : a + b < a + c ↔ b < c := by
rw [← not_le, ← not_le, add_le_add_iff_left]
instance instAddLeftStrictMono : AddLeftStrictMono Ordinal.{u} :=
⟨fun a _b _c ↦ (add_lt_add_iff_left' a).2⟩
instance instAddLeftReflectLT : AddLeftReflectLT Ordinal.{u} :=
⟨fun a _b _c ↦ (add_lt_add_iff_left' a).1⟩
instance instAddRightReflectLT : AddRightReflectLT Ordinal.{u} :=
⟨fun _a _b _c ↦ lt_imp_lt_of_le_imp_le fun h => add_le_add_right h _⟩
theorem add_le_add_iff_right {a b : Ordinal} : ∀ n : ℕ, a + n ≤ b + n ↔ a ≤ b
| 0 => by simp
| n + 1 => by
simp only [natCast_succ, add_succ, add_succ, succ_le_succ_iff, add_le_add_iff_right]
theorem add_right_cancel {a b : Ordinal} (n : ℕ) : a + n = b + n ↔ a = b := by
simp only [le_antisymm_iff, add_le_add_iff_right]
theorem add_eq_zero_iff {a b : Ordinal} : a + b = 0 ↔ a = 0 ∧ b = 0 :=
inductionOn₂ a b fun α r _ β s _ => by
simp_rw [← type_sum_lex, type_eq_zero_iff_isEmpty]
exact isEmpty_sum
theorem left_eq_zero_of_add_eq_zero {a b : Ordinal} (h : a + b = 0) : a = 0 :=
(add_eq_zero_iff.1 h).1
theorem right_eq_zero_of_add_eq_zero {a b : Ordinal} (h : a + b = 0) : b = 0 :=
(add_eq_zero_iff.1 h).2
/-! ### The predecessor of an ordinal -/
open Classical in
/-- The ordinal predecessor of `o` is `o'` if `o = succ o'`,
and `o` otherwise. -/
def pred (o : Ordinal) : Ordinal :=
if h : ∃ a, o = succ a then Classical.choose h else o
@[simp]
theorem pred_succ (o) : pred (succ o) = o := by
have h : ∃ a, succ o = succ a := ⟨_, rfl⟩
simpa only [pred, dif_pos h] using (succ_injective <| Classical.choose_spec h).symm
theorem pred_le_self (o) : pred o ≤ o := by
classical
exact if h : ∃ a, o = succ a then by
let ⟨a, e⟩ := h
rw [e, pred_succ]; exact le_succ a
else by rw [pred, dif_neg h]
theorem pred_eq_iff_not_succ {o} : pred o = o ↔ ¬∃ a, o = succ a :=
| ⟨fun e ⟨a, e'⟩ => by rw [e', pred_succ] at e; exact (lt_succ a).ne e, fun h => dif_neg h⟩
theorem pred_eq_iff_not_succ' {o} : pred o = o ↔ ∀ a, o ≠ succ a := by
simpa using pred_eq_iff_not_succ
| Mathlib/SetTheory/Ordinal/Arithmetic.lean | 150 | 154 |
/-
Copyright (c) 2021 Riccardo Brasca. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Riccardo Brasca
-/
import Mathlib.Algebra.Group.Pointwise.Set.Finite
import Mathlib.Algebra.Group.Subgroup.Pointwise
import Mathlib.GroupTheory.QuotientGroup.Defs
/-!
# Finitely generated monoids and groups
We define finitely generated monoids and groups. See also `Submodule.FG` and `Module.Finite` for
finitely-generated modules.
## Main definition
* `Submonoid.FG S`, `AddSubmonoid.FG S` : A submonoid `S` is finitely generated.
* `Monoid.FG M`, `AddMonoid.FG M` : A typeclass indicating a type `M` is finitely generated as a
monoid.
* `Subgroup.FG S`, `AddSubgroup.FG S` : A subgroup `S` is finitely generated.
* `Group.FG M`, `AddGroup.FG M` : A typeclass indicating a type `M` is finitely generated as a
group.
-/
assert_not_exists MonoidWithZero
/-! ### Monoids and submonoids -/
open Pointwise
variable {M N : Type*} [Monoid M]
section Submonoid
variable [Monoid N] {P : Submonoid M} {Q : Submonoid N}
/-- A submonoid of `M` is finitely generated if it is the closure of a finite subset of `M`. -/
@[to_additive]
def Submonoid.FG (P : Submonoid M) : Prop :=
∃ S : Finset M, Submonoid.closure ↑S = P
/-- An additive submonoid of `N` is finitely generated if it is the closure of a finite subset of
`M`. -/
add_decl_doc AddSubmonoid.FG
/-- An equivalent expression of `Submonoid.FG` in terms of `Set.Finite` instead of `Finset`. -/
@[to_additive "An equivalent expression of `AddSubmonoid.FG` in terms of `Set.Finite` instead of
`Finset`."]
theorem Submonoid.fg_iff (P : Submonoid M) :
Submonoid.FG P ↔ ∃ S : Set M, Submonoid.closure S = P ∧ S.Finite :=
⟨fun ⟨S, hS⟩ => ⟨S, hS, Finset.finite_toSet S⟩, fun ⟨S, hS, hf⟩ =>
⟨Set.Finite.toFinset hf, by simp [hS]⟩⟩
| theorem Submonoid.fg_iff_add_fg (P : Submonoid M) : P.FG ↔ P.toAddSubmonoid.FG :=
⟨fun h =>
let ⟨S, hS, hf⟩ := (Submonoid.fg_iff _).1 h
(AddSubmonoid.fg_iff _).mpr
| Mathlib/GroupTheory/Finiteness.lean | 56 | 59 |
/-
Copyright (c) 2020 Anne Baanen. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Anne Baanen, Eric Wieser
-/
import Mathlib.Algebra.Group.Fin.Tuple
import Mathlib.Data.Matrix.RowCol
import Mathlib.Data.Fin.VecNotation
import Mathlib.Tactic.FinCases
import Mathlib.Algebra.BigOperators.Fin
/-!
# Matrix and vector notation
This file includes `simp` lemmas for applying operations in `Data.Matrix.Basic` to values built out
of the matrix notation `![a, b] = vecCons a (vecCons b vecEmpty)` defined in
`Data.Fin.VecNotation`.
This also provides the new notation `!![a, b; c, d] = Matrix.of ![![a, b], ![c, d]]`.
This notation also works for empty matrices; `!![,,,] : Matrix (Fin 0) (Fin 3)` and
`!![;;;] : Matrix (Fin 3) (Fin 0)`.
## Implementation notes
The `simp` lemmas require that one of the arguments is of the form `vecCons _ _`.
This ensures `simp` works with entries only when (some) entries are already given.
In other words, this notation will only appear in the output of `simp` if it
already appears in the input.
## Notations
This file provide notation `!![a, b; c, d]` for matrices, which corresponds to
`Matrix.of ![![a, b], ![c, d]]`.
## Examples
Examples of usage can be found in the `MathlibTest/matrix.lean` file.
-/
namespace Matrix
universe u uₘ uₙ uₒ
variable {α : Type u} {o n m : ℕ} {m' : Type uₘ} {n' : Type uₙ} {o' : Type uₒ}
open Matrix
section toExpr
open Lean Qq
open Qq in
/-- `Matrix.mkLiteralQ !![a, b; c, d]` produces the term `q(!![$a, $b; $c, $d])`. -/
def mkLiteralQ {u : Level} {α : Q(Type u)} {m n : Nat} (elems : Matrix (Fin m) (Fin n) Q($α)) :
Q(Matrix (Fin $m) (Fin $n) $α) :=
let elems := PiFin.mkLiteralQ (α := q(Fin $n → $α)) fun i => PiFin.mkLiteralQ fun j => elems i j
q(Matrix.of $elems)
/-- Matrices can be reflected whenever their entries can. We insert a `Matrix.of` to
prevent immediate decay to a function. -/
protected instance toExpr [ToLevel.{u}] [ToLevel.{uₘ}] [ToLevel.{uₙ}]
[Lean.ToExpr α] [Lean.ToExpr m'] [Lean.ToExpr n'] [Lean.ToExpr (m' → n' → α)] :
Lean.ToExpr (Matrix m' n' α) :=
have eα : Q(Type $(toLevel.{u})) := toTypeExpr α
have em' : Q(Type $(toLevel.{uₘ})) := toTypeExpr m'
have en' : Q(Type $(toLevel.{uₙ})) := toTypeExpr n'
{ toTypeExpr :=
q(Matrix $eα $em' $en')
toExpr := fun M =>
have eM : Q($em' → $en' → $eα) := toExpr (show m' → n' → α from M)
q(Matrix.of $eM) }
end toExpr
section Parser
open Lean Meta Elab Term Macro TSyntax PrettyPrinter.Delaborator SubExpr
/-- Notation for m×n matrices, aka `Matrix (Fin m) (Fin n) α`.
For instance:
* `!![a, b, c; d, e, f]` is the matrix with two rows and three columns, of type
`Matrix (Fin 2) (Fin 3) α`
* `!![a, b, c]` is a row vector of type `Matrix (Fin 1) (Fin 3) α` (see also `Matrix.row`).
* `!![a; b; c]` is a column vector of type `Matrix (Fin 3) (Fin 1) α` (see also `Matrix.col`).
This notation implements some special cases:
* `![,,]`, with `n` `,`s, is a term of type `Matrix (Fin 0) (Fin n) α`
* `![;;]`, with `m` `;`s, is a term of type `Matrix (Fin m) (Fin 0) α`
* `![]` is the 0×0 matrix
Note that vector notation is provided elsewhere (by `Matrix.vecNotation`) as `![a, b, c]`.
Under the hood, `!![a, b, c; d, e, f]` is syntax for `Matrix.of ![![a, b, c], ![d, e, f]]`.
-/
syntax (name := matrixNotation)
"!![" ppRealGroup(sepBy1(ppGroup(term,+,?), ";", "; ", allowTrailingSep)) "]" : term
@[inherit_doc matrixNotation]
syntax (name := matrixNotationRx0) "!![" ";"+ "]" : term
@[inherit_doc matrixNotation]
syntax (name := matrixNotation0xC) "!![" ","* "]" : term
macro_rules
| `(!![$[$[$rows],*];*]) => do
let m := rows.size
let n := if h : 0 < m then rows[0].size else 0
let rowVecs ← rows.mapM fun row : Array Term => do
unless row.size = n do
Macro.throwErrorAt (mkNullNode row) s!"\
Rows must be of equal length; this row has {row.size} items, \
the previous rows have {n}"
`(![$row,*])
`(@Matrix.of (Fin $(quote m)) (Fin $(quote n)) _ ![$rowVecs,*])
| `(!![$[;%$semicolons]*]) => do
let emptyVec ← `(![])
let emptyVecs := semicolons.map (fun _ => emptyVec)
`(@Matrix.of (Fin $(quote semicolons.size)) (Fin 0) _ ![$emptyVecs,*])
| `(!![$[,%$commas]*]) => `(@Matrix.of (Fin 0) (Fin $(quote commas.size)) _ ![])
/-- Delaborator for the `!![]` notation. -/
@[app_delab DFunLike.coe]
def delabMatrixNotation : Delab := whenNotPPOption getPPExplicit <| whenPPOption getPPNotation <|
withOverApp 6 do
let mkApp3 (.const ``Matrix.of _) (.app (.const ``Fin _) em) (.app (.const ``Fin _) en) _ :=
(← getExpr).appFn!.appArg! | failure
let some m ← withNatValue em (pure ∘ some) | failure
let some n ← withNatValue en (pure ∘ some) | failure
withAppArg do
if m = 0 then
guard <| (← getExpr).isAppOfArity ``vecEmpty 1
let commas := .replicate n (mkAtom ",")
`(!![$[,%$commas]*])
else
if n = 0 then
let `(![$[![]%$evecs],*]) ← delab | failure
`(!![$[;%$evecs]*])
else
let `(![$[![$[$melems],*]],*]) ← delab | failure
`(!![$[$[$melems],*];*])
end Parser
variable (a b : ℕ)
/-- Use `![...]` notation for displaying a `Fin`-indexed matrix, for example:
```
#eval !![1, 2; 3, 4] + !![3, 4; 5, 6] -- !![4, 6; 8, 10]
```
-/
instance repr [Repr α] : Repr (Matrix (Fin m) (Fin n) α) where
reprPrec f _p :=
(Std.Format.bracket "!![" · "]") <|
(Std.Format.joinSep · (";" ++ Std.Format.line)) <|
(List.finRange m).map fun i =>
Std.Format.fill <| -- wrap line in a single place rather than all at once
(Std.Format.joinSep · ("," ++ Std.Format.line)) <|
(List.finRange n).map fun j => _root_.repr (f i j)
@[simp]
theorem cons_val' (v : n' → α) (B : Fin m → n' → α) (i j) :
vecCons v B i j = vecCons (v j) (fun i => B i j) i := by refine Fin.cases ?_ ?_ i <;> simp
@[simp]
theorem head_val' (B : Fin m.succ → n' → α) (j : n') : (vecHead fun i => B i j) = vecHead B j :=
rfl
@[simp]
theorem tail_val' (B : Fin m.succ → n' → α) (j : n') :
(vecTail fun i => B i j) = fun i => vecTail B i j := rfl
section DotProduct
variable [AddCommMonoid α] [Mul α]
@[simp]
theorem dotProduct_empty (v w : Fin 0 → α) : dotProduct v w = 0 :=
Finset.sum_empty
@[simp]
theorem cons_dotProduct (x : α) (v : Fin n → α) (w : Fin n.succ → α) :
dotProduct (vecCons x v) w = x * vecHead w + dotProduct v (vecTail w) := by
simp [dotProduct, Fin.sum_univ_succ, vecHead, vecTail]
@[simp]
theorem dotProduct_cons (v : Fin n.succ → α) (x : α) (w : Fin n → α) :
dotProduct v (vecCons x w) = vecHead v * x + dotProduct (vecTail v) w := by
simp [dotProduct, Fin.sum_univ_succ, vecHead, vecTail]
theorem cons_dotProduct_cons (x : α) (v : Fin n → α) (y : α) (w : Fin n → α) :
dotProduct (vecCons x v) (vecCons y w) = x * y + dotProduct v w := by simp
end DotProduct
section ColRow
variable {ι : Type*}
@[simp]
theorem replicateCol_empty (v : Fin 0 → α) : replicateCol ι v = vecEmpty :=
empty_eq _
@[deprecated (since := "2025-03-20")] alias col_empty := replicateCol_empty
@[simp]
theorem replicateCol_cons (x : α) (u : Fin m → α) :
replicateCol ι (vecCons x u) = of (vecCons (fun _ => x) (replicateCol ι u)) := by
ext i j
refine Fin.cases ?_ ?_ i <;> simp [vecHead, vecTail]
@[deprecated (since := "2025-03-20")] alias col_cons := replicateCol_cons
@[simp]
theorem replicateRow_empty : replicateRow ι (vecEmpty : Fin 0 → α) = of fun _ => vecEmpty := rfl
@[deprecated (since := "2025-03-20")] alias row_empty := replicateRow_empty
@[simp]
theorem replicateRow_cons (x : α) (u : Fin m → α) :
replicateRow ι (vecCons x u) = of fun _ => vecCons x u :=
rfl
@[deprecated (since := "2025-03-20")] alias row_cons := replicateRow_cons
end ColRow
section Transpose
@[simp]
theorem transpose_empty_rows (A : Matrix m' (Fin 0) α) : Aᵀ = of ![] :=
empty_eq _
@[simp]
theorem transpose_empty_cols (A : Matrix (Fin 0) m' α) : Aᵀ = of fun _ => ![] :=
funext fun _ => empty_eq _
@[simp]
theorem cons_transpose (v : n' → α) (A : Matrix (Fin m) n' α) :
(of (vecCons v A))ᵀ = of fun i => vecCons (v i) (Aᵀ i) := by
ext i j
refine Fin.cases ?_ ?_ j <;> simp
@[simp]
theorem head_transpose (A : Matrix m' (Fin n.succ) α) :
vecHead (of.symm Aᵀ) = vecHead ∘ of.symm A :=
rfl
@[simp]
theorem tail_transpose (A : Matrix m' (Fin n.succ) α) : vecTail (of.symm Aᵀ) = (vecTail ∘ A)ᵀ := by
ext i j
rfl
end Transpose
section Mul
variable [NonUnitalNonAssocSemiring α]
@[simp]
theorem empty_mul [Fintype n'] (A : Matrix (Fin 0) n' α) (B : Matrix n' o' α) : A * B = of ![] :=
empty_eq _
@[simp]
theorem empty_mul_empty (A : Matrix m' (Fin 0) α) (B : Matrix (Fin 0) o' α) : A * B = 0 :=
rfl
@[simp]
theorem mul_empty [Fintype n'] (A : Matrix m' n' α) (B : Matrix n' (Fin 0) α) :
A * B = of fun _ => ![] :=
funext fun _ => empty_eq _
theorem mul_val_succ [Fintype n'] (A : Matrix (Fin m.succ) n' α) (B : Matrix n' o' α) (i : Fin m)
(j : o') : (A * B) i.succ j = (of (vecTail (of.symm A)) * B) i j :=
rfl
@[simp]
theorem cons_mul [Fintype n'] (v : n' → α) (A : Fin m → n' → α) (B : Matrix n' o' α) :
of (vecCons v A) * B = of (vecCons (v ᵥ* B) (of.symm (of A * B))) := by
ext i j
refine Fin.cases ?_ ?_ i
· rfl
simp [mul_val_succ]
end Mul
section VecMul
variable [NonUnitalNonAssocSemiring α]
@[simp]
theorem empty_vecMul (v : Fin 0 → α) (B : Matrix (Fin 0) o' α) : v ᵥ* B = 0 :=
rfl
@[simp]
theorem vecMul_empty [Fintype n'] (v : n' → α) (B : Matrix n' (Fin 0) α) : v ᵥ* B = ![] :=
empty_eq _
@[simp]
theorem cons_vecMul (x : α) (v : Fin n → α) (B : Fin n.succ → o' → α) :
vecCons x v ᵥ* of B = x • vecHead B + v ᵥ* of (vecTail B) := by
ext i
simp [vecMul]
@[simp]
theorem vecMul_cons (v : Fin n.succ → α) (w : o' → α) (B : Fin n → o' → α) :
v ᵥ* of (vecCons w B) = vecHead v • w + vecTail v ᵥ* of B := by
ext i
simp [vecMul]
theorem cons_vecMul_cons (x : α) (v : Fin n → α) (w : o' → α) (B : Fin n → o' → α) :
vecCons x v ᵥ* of (vecCons w B) = x • w + v ᵥ* of B := by simp
end VecMul
section MulVec
variable [NonUnitalNonAssocSemiring α]
@[simp]
theorem empty_mulVec [Fintype n'] (A : Matrix (Fin 0) n' α) (v : n' → α) : A *ᵥ v = ![] :=
empty_eq _
@[simp]
theorem mulVec_empty (A : Matrix m' (Fin 0) α) (v : Fin 0 → α) : A *ᵥ v = 0 :=
rfl
@[simp]
theorem cons_mulVec [Fintype n'] (v : n' → α) (A : Fin m → n' → α) (w : n' → α) :
(of <| vecCons v A) *ᵥ w = vecCons (dotProduct v w) (of A *ᵥ w) := by
ext i
refine Fin.cases ?_ ?_ i <;> simp [mulVec]
@[simp]
theorem mulVec_cons {α} [NonUnitalCommSemiring α] (A : m' → Fin n.succ → α) (x : α)
(v : Fin n → α) : (of A) *ᵥ (vecCons x v) = x • vecHead ∘ A + (of (vecTail ∘ A)) *ᵥ v := by
ext i
simp [mulVec, mul_comm]
end MulVec
section VecMulVec
variable [NonUnitalNonAssocSemiring α]
@[simp]
theorem empty_vecMulVec (v : Fin 0 → α) (w : n' → α) : vecMulVec v w = ![] :=
empty_eq _
@[simp]
theorem vecMulVec_empty (v : m' → α) (w : Fin 0 → α) : vecMulVec v w = of fun _ => ![] :=
funext fun _ => empty_eq _
@[simp]
theorem cons_vecMulVec (x : α) (v : Fin m → α) (w : n' → α) :
vecMulVec (vecCons x v) w = vecCons (x • w) (vecMulVec v w) := by
ext i
refine Fin.cases ?_ ?_ i <;> simp [vecMulVec]
@[simp]
theorem vecMulVec_cons (v : m' → α) (x : α) (w : Fin n → α) :
vecMulVec v (vecCons x w) = of fun i => v i • vecCons x w := rfl
end VecMulVec
section SMul
variable [NonUnitalNonAssocSemiring α]
theorem smul_mat_empty {m' : Type*} (x : α) (A : Fin 0 → m' → α) : x • A = ![] :=
empty_eq _
theorem smul_mat_cons (x : α) (v : n' → α) (A : Fin m → n' → α) :
x • vecCons v A = vecCons (x • v) (x • A) := by
ext i
refine Fin.cases ?_ ?_ i <;> simp
end SMul
section Submatrix
@[simp]
theorem submatrix_empty (A : Matrix m' n' α) (row : Fin 0 → m') (col : o' → n') :
submatrix A row col = ![] :=
empty_eq _
@[simp]
theorem submatrix_cons_row (A : Matrix m' n' α) (i : m') (row : Fin m → m') (col : o' → n') :
submatrix A (vecCons i row) col = vecCons (fun j => A i (col j)) (submatrix A row col) := by
ext i j
refine Fin.cases ?_ ?_ i <;> simp [submatrix]
/-- Updating a row then removing it is the same as removing it. -/
@[simp]
theorem submatrix_updateRow_succAbove (A : Matrix (Fin m.succ) n' α) (v : n' → α) (f : o' → n')
(i : Fin m.succ) : (A.updateRow i v).submatrix i.succAbove f = A.submatrix i.succAbove f :=
ext fun r s => (congr_fun (updateRow_ne (Fin.succAbove_ne i r) : _ = A _) (f s) :)
/-- Updating a column then removing it is the same as removing it. -/
@[simp]
theorem submatrix_updateCol_succAbove (A : Matrix m' (Fin n.succ) α) (v : m' → α) (f : o' → m')
(i : Fin n.succ) : (A.updateCol i v).submatrix f i.succAbove = A.submatrix f i.succAbove :=
ext fun _r s => updateCol_ne (Fin.succAbove_ne i s)
@[deprecated (since := "2024-12-11")]
alias submatrix_updateColumn_succAbove := submatrix_updateCol_succAbove
end Submatrix
section Vec2AndVec3
section One
variable [Zero α] [One α]
theorem one_fin_two : (1 : Matrix (Fin 2) (Fin 2) α) = !![1, 0; 0, 1] := by
ext i j
fin_cases i <;> fin_cases j <;> rfl
theorem one_fin_three : (1 : Matrix (Fin 3) (Fin 3) α) = !![1, 0, 0; 0, 1, 0; 0, 0, 1] := by
ext i j
fin_cases i <;> fin_cases j <;> rfl
end One
section AddMonoidWithOne
variable [AddMonoidWithOne α]
theorem natCast_fin_two (n : ℕ) : (n : Matrix (Fin 2) (Fin 2) α) = !![↑n, 0; 0, ↑n] := by
ext i j
fin_cases i <;> fin_cases j <;> rfl
theorem natCast_fin_three (n : ℕ) :
(n : Matrix (Fin 3) (Fin 3) α) = !![↑n, 0, 0; 0, ↑n, 0; 0, 0, ↑n] := by
ext i j
fin_cases i <;> fin_cases j <;> rfl
theorem ofNat_fin_two (n : ℕ) [n.AtLeastTwo] :
(ofNat(n) : Matrix (Fin 2) (Fin 2) α) =
| !![ofNat(n), 0; 0, ofNat(n)] :=
natCast_fin_two _
| Mathlib/Data/Matrix/Notation.lean | 439 | 441 |
/-
Copyright (c) 2023 Dagur Asgeirsson. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Dagur Asgeirsson
-/
import Mathlib.Topology.Category.Profinite.Nobeling.Basic
import Mathlib.Topology.Category.Profinite.Nobeling.Induction
import Mathlib.Topology.Category.Profinite.Nobeling.Span
import Mathlib.Topology.Category.Profinite.Nobeling.Successor
import Mathlib.Topology.Category.Profinite.Nobeling.ZeroLimit
deprecated_module (since := "2025-04-13")
| Mathlib/Topology/Category/Profinite/Nobeling.lean | 1,341 | 1,346 | |
/-
Copyright (c) 2024 Joël Riou. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Joël Riou
-/
import Mathlib.Algebra.Homology.HomotopyCategory.Shift
import Mathlib.Algebra.Homology.TotalComplex
/-!
# Behaviour of the total complex with respect to shifts
There are two ways to shift objects in `HomologicalComplex₂ C (up ℤ) (up ℤ)`:
* by shifting the first indices (and changing signs of horizontal differentials),
which corresponds to the shift by `ℤ` on `CochainComplex (CochainComplex C ℤ) ℤ`.
* by shifting the second indices (and changing signs of vertical differentials).
These two sorts of shift functors shall be abbreviated as
`HomologicalComplex₂.shiftFunctor₁ C x` and
`HomologicalComplex₂.shiftFunctor₂ C y`.
In this file, for any `K : HomologicalComplex₂ C (up ℤ) (up ℤ)`, we define an isomorphism
`K.totalShift₁Iso x : ((shiftFunctor₁ C x).obj K).total (up ℤ) ≅ (K.total (up ℤ))⟦x⟧`
for any `x : ℤ` (which does not involve signs) and an isomorphism
`K.totalShift₂Iso y : ((shiftFunctor₂ C y).obj K).total (up ℤ) ≅ (K.total (up ℤ))⟦y⟧`
for any `y : ℤ` (which is given by the multiplication by `(p * y).negOnePow` on the
summand in bidegree `(p, q)` of `K`).
Depending on the order of the "composition" of the two isomorphisms
`totalShift₁Iso` and `totalShift₂Iso`, we get
two ways to identify `((shiftFunctor₁ C x).obj ((shiftFunctor₂ C y).obj K)).total (up ℤ)`
and `(K.total (up ℤ))⟦x + y⟧`. The lemma `totalShift₁Iso_trans_totalShift₂Iso` shows that
these two compositions of isomorphisms differ by the sign `(x * y).negOnePow`.
-/
assert_not_exists TwoSidedIdeal
open CategoryTheory Category ComplexShape Limits
namespace HomologicalComplex₂
variable (C : Type*) [Category C] [Preadditive C]
/-- The shift on bicomplexes obtained by shifting the first indices (and changing the
sign of differentials). -/
abbrev shiftFunctor₁ (x : ℤ) :
HomologicalComplex₂ C (up ℤ) (up ℤ) ⥤ HomologicalComplex₂ C (up ℤ) (up ℤ) :=
shiftFunctor _ x
/-- The shift on bicomplexes obtained by shifting the second indices (and changing the
sign of differentials). -/
abbrev shiftFunctor₂ (y : ℤ) :
HomologicalComplex₂ C (up ℤ) (up ℤ) ⥤ HomologicalComplex₂ C (up ℤ) (up ℤ) :=
(shiftFunctor _ y).mapHomologicalComplex _
variable {C}
variable (K L : HomologicalComplex₂ C (up ℤ) (up ℤ)) (f : K ⟶ L)
/-- The isomorphism `(((shiftFunctor₁ C x).obj K).X a).X b ≅ (K.X a').X b` when `a' = a + x`. -/
def shiftFunctor₁XXIso (a x a' : ℤ) (h : a' = a + x) (b : ℤ) :
(((shiftFunctor₁ C x).obj K).X a).X b ≅ (K.X a').X b := eqToIso (by subst h; rfl)
/-- The isomorphism `(((shiftFunctor₂ C y).obj K).X a).X b ≅ (K.X a).X b'` when `b' = b + y`. -/
def shiftFunctor₂XXIso (a b y b' : ℤ) (h : b' = b + y) :
(((shiftFunctor₂ C y).obj K).X a).X b ≅ (K.X a).X b' := eqToIso (by subst h; rfl)
@[simp]
lemma shiftFunctor₁XXIso_refl (a b x : ℤ) :
K.shiftFunctor₁XXIso a x (a + x) rfl b = Iso.refl _ := rfl
@[simp]
lemma shiftFunctor₂XXIso_refl (a b y : ℤ) :
K.shiftFunctor₂XXIso a b y (b + y) rfl = Iso.refl _ := rfl
variable (x y : ℤ) [K.HasTotal (up ℤ)]
instance : ((shiftFunctor₁ C x).obj K).HasTotal (up ℤ) := fun n =>
hasCoproduct_of_equiv_of_iso (K.toGradedObject.mapObjFun (π (up ℤ) (up ℤ) (up ℤ)) (n + x)) _
{ toFun := fun ⟨⟨a, b⟩, h⟩ => ⟨⟨a + x, b⟩, by
simp only [Set.mem_preimage, instTotalComplexShape_π, Set.mem_singleton_iff] at h ⊢
omega⟩
invFun := fun ⟨⟨a, b⟩, h⟩ => ⟨(a - x, b), by
simp only [Set.mem_preimage, instTotalComplexShape_π, Set.mem_singleton_iff] at h ⊢
omega⟩
left_inv := by
rintro ⟨⟨a, b⟩, h⟩
ext
· dsimp
omega
· rfl
right_inv := by
intro ⟨⟨a, b⟩, h⟩
ext
· dsimp
omega
· rfl }
(fun _ => Iso.refl _)
instance : ((shiftFunctor₂ C y).obj K).HasTotal (up ℤ) := fun n =>
hasCoproduct_of_equiv_of_iso (K.toGradedObject.mapObjFun (π (up ℤ) (up ℤ) (up ℤ)) (n + y)) _
{ toFun := fun ⟨⟨a, b⟩, h⟩ => ⟨⟨a, b + y⟩, by
simp only [Set.mem_preimage, instTotalComplexShape_π, Set.mem_singleton_iff] at h ⊢
omega⟩
invFun := fun ⟨⟨a, b⟩, h⟩ => ⟨(a, b - y), by
simp only [Set.mem_preimage, instTotalComplexShape_π, Set.mem_singleton_iff] at h ⊢
omega⟩
left_inv _ := by simp
right_inv _ := by simp }
(fun _ => Iso.refl _)
instance : ((shiftFunctor₂ C y ⋙ shiftFunctor₁ C x).obj K).HasTotal (up ℤ) := by
dsimp
infer_instance
instance : ((shiftFunctor₁ C x ⋙ shiftFunctor₂ C y).obj K).HasTotal (up ℤ) := by
dsimp
infer_instance
/-- Auxiliary definition for `totalShift₁Iso`. -/
noncomputable def totalShift₁XIso (n n' : ℤ) (h : n + x = n') :
(((shiftFunctor₁ C x).obj K).total (up ℤ)).X n ≅ (K.total (up ℤ)).X n' where
hom := totalDesc _ (fun p q hpq => K.ιTotal (up ℤ) (p + x) q n' (by dsimp at hpq ⊢; omega))
inv := totalDesc _ (fun p q hpq =>
(K.XXIsoOfEq _ _ _ (Int.sub_add_cancel p x) rfl).inv ≫
((shiftFunctor₁ C x).obj K).ιTotal (up ℤ) (p - x) q n
(by dsimp at hpq ⊢; omega))
hom_inv_id := by
ext p q h
dsimp
simp only [ι_totalDesc_assoc, CochainComplex.shiftFunctor_obj_X', ι_totalDesc, comp_id]
exact ((shiftFunctor₁ C x).obj K).XXIsoOfEq_inv_ιTotal _ (by omega) rfl _ _
inv_hom_id := by
ext
dsimp
simp only [ι_totalDesc_assoc, Category.assoc, ι_totalDesc, XXIsoOfEq_inv_ιTotal, comp_id]
@[reassoc]
lemma D₁_totalShift₁XIso_hom (n₀ n₁ n₀' n₁' : ℤ) (h₀ : n₀ + x = n₀') (h₁ : n₁ + x = n₁') :
((shiftFunctor₁ C x).obj K).D₁ (up ℤ) n₀ n₁ ≫ (K.totalShift₁XIso x n₁ n₁' h₁).hom =
x.negOnePow • ((K.totalShift₁XIso x n₀ n₀' h₀).hom ≫ K.D₁ (up ℤ) n₀' n₁') := by
by_cases h : (up ℤ).Rel n₀ n₁
· apply total.hom_ext
intro p q hpq
dsimp at h hpq
dsimp [totalShift₁XIso]
rw [ι_D₁_assoc, Linear.comp_units_smul, ι_totalDesc_assoc, ι_D₁,
((shiftFunctor₁ C x).obj K).d₁_eq _ rfl _ _ (by dsimp; omega),
K.d₁_eq _ (show p + x + 1 = p + 1 + x by omega) _ _ (by dsimp; omega)]
dsimp
rw [one_smul, Category.assoc, ι_totalDesc, one_smul, Linear.units_smul_comp]
· rw [D₁_shape _ _ _ _ h, zero_comp, D₁_shape, comp_zero, smul_zero]
intro h'
apply h
dsimp at h' ⊢
omega
@[reassoc]
lemma D₂_totalShift₁XIso_hom (n₀ n₁ n₀' n₁' : ℤ) (h₀ : n₀ + x = n₀') (h₁ : n₁ + x = n₁') :
((shiftFunctor₁ C x).obj K).D₂ (up ℤ) n₀ n₁ ≫ (K.totalShift₁XIso x n₁ n₁' h₁).hom =
x.negOnePow • ((K.totalShift₁XIso x n₀ n₀' h₀).hom ≫ K.D₂ (up ℤ) n₀' n₁') := by
by_cases h : (up ℤ).Rel n₀ n₁
· apply total.hom_ext
intro p q hpq
dsimp at h hpq
dsimp [totalShift₁XIso]
rw [ι_D₂_assoc, Linear.comp_units_smul, ι_totalDesc_assoc, ι_D₂,
((shiftFunctor₁ C x).obj K).d₂_eq _ _ rfl _ (by dsimp; omega),
K.d₂_eq _ _ rfl _ (by dsimp; omega), smul_smul,
Linear.units_smul_comp, Category.assoc, ι_totalDesc]
dsimp
congr 1
rw [add_comm p, Int.negOnePow_add, ← mul_assoc, Int.units_mul_self, one_mul]
· rw [D₂_shape _ _ _ _ h, zero_comp, D₂_shape, comp_zero, smul_zero]
intro h'
apply h
dsimp at h' ⊢
omega
/-- The isomorphism `((shiftFunctor₁ C x).obj K).total (up ℤ) ≅ (K.total (up ℤ))⟦x⟧`
expressing the compatibility of the total complex with the shift on the first indices.
This isomorphism does not involve signs. -/
noncomputable def totalShift₁Iso :
((shiftFunctor₁ C x).obj K).total (up ℤ) ≅ (K.total (up ℤ))⟦x⟧ :=
HomologicalComplex.Hom.isoOfComponents (fun n => K.totalShift₁XIso x n (n + x) rfl)
(fun n n' _ => by
dsimp
simp only [total_d, Preadditive.add_comp, Preadditive.comp_add, smul_add,
Linear.comp_units_smul, K.D₁_totalShift₁XIso_hom x n n' _ _ rfl rfl,
K.D₂_totalShift₁XIso_hom x n n' _ _ rfl rfl])
@[reassoc]
lemma ι_totalShift₁Iso_hom_f (a b n : ℤ) (h : a + b = n) (a' : ℤ) (ha' : a' = a + x)
(n' : ℤ) (hn' : n' = n + x) :
((shiftFunctor₁ C x).obj K).ιTotal (up ℤ) a b n h ≫ (K.totalShift₁Iso x).hom.f n =
(K.shiftFunctor₁XXIso a x a' ha' b).hom ≫ K.ιTotal (up ℤ) a' b n' (by dsimp; omega) ≫
(CochainComplex.shiftFunctorObjXIso (K.total (up ℤ)) x n n' hn').inv := by
subst ha' hn'
dsimp [totalShift₁Iso, totalShift₁XIso]
simp only [ι_totalDesc, comp_id, id_comp]
@[reassoc]
lemma ι_totalShift₁Iso_inv_f (a b n : ℤ) (h : a + b = n) (a' n' : ℤ)
(ha' : a' + b = n') (hn' : n' = n + x) :
K.ιTotal (up ℤ) a' b n' ha' ≫
(CochainComplex.shiftFunctorObjXIso (K.total (up ℤ)) x n n' hn').inv ≫
(K.totalShift₁Iso x).inv.f n =
(K.shiftFunctor₁XXIso a x a' (by omega) b).inv ≫
((shiftFunctor₁ C x).obj K).ιTotal (up ℤ) a b n h := by
subst hn'
obtain rfl : a = a' - x := by omega
dsimp [totalShift₁Iso, totalShift₁XIso, shiftFunctor₁XXIso, XXIsoOfEq]
simp only [id_comp, ι_totalDesc]
variable {K L} in
@[reassoc]
lemma totalShift₁Iso_hom_naturality [L.HasTotal (up ℤ)] :
total.map ((shiftFunctor₁ C x).map f) (up ℤ) ≫ (L.totalShift₁Iso x).hom =
(K.totalShift₁Iso x).hom ≫ (total.map f (up ℤ))⟦x⟧' := by
ext n i₁ i₂ h
dsimp at h ⊢
rw [ιTotal_map_assoc, L.ι_totalShift₁Iso_hom_f x i₁ i₂ n h _ rfl _ rfl,
K.ι_totalShift₁Iso_hom_f_assoc x i₁ i₂ n h _ rfl _ rfl]
dsimp
rw [id_comp, id_comp, id_comp, comp_id, ιTotal_map]
/-- Auxiliary definition for `totalShift₂Iso`. -/
noncomputable def totalShift₂XIso (n n' : ℤ) (h : n + y = n') :
(((shiftFunctor₂ C y).obj K).total (up ℤ)).X n ≅ (K.total (up ℤ)).X n' where
hom := totalDesc _ (fun p q hpq => (p * y).negOnePow • K.ιTotal (up ℤ) p (q + y) n'
(by dsimp at hpq ⊢; omega))
inv := totalDesc _ (fun p q hpq => (p * y).negOnePow •
(K.XXIsoOfEq _ _ _ rfl (Int.sub_add_cancel q y)).inv ≫
((shiftFunctor₂ C y).obj K).ιTotal (up ℤ) p (q - y) n (by dsimp at hpq ⊢; omega))
hom_inv_id := by
ext p q h
dsimp
simp only [ι_totalDesc_assoc, Linear.units_smul_comp, ι_totalDesc, smul_smul,
Int.units_mul_self, one_smul, comp_id]
exact ((shiftFunctor₂ C y).obj K).XXIsoOfEq_inv_ιTotal _ rfl (by omega) _ _
inv_hom_id := by
ext
dsimp
simp only [ι_totalDesc_assoc, Linear.units_smul_comp, Category.assoc, ι_totalDesc,
Linear.comp_units_smul, XXIsoOfEq_inv_ιTotal, smul_smul, Int.units_mul_self, one_smul,
comp_id]
| @[reassoc]
lemma D₁_totalShift₂XIso_hom (n₀ n₁ n₀' n₁' : ℤ) (h₀ : n₀ + y = n₀') (h₁ : n₁ + y = n₁') :
((shiftFunctor₂ C y).obj K).D₁ (up ℤ) n₀ n₁ ≫ (K.totalShift₂XIso y n₁ n₁' h₁).hom =
y.negOnePow • ((K.totalShift₂XIso y n₀ n₀' h₀).hom ≫ K.D₁ (up ℤ) n₀' n₁') := by
by_cases h : (up ℤ).Rel n₀ n₁
· apply total.hom_ext
intro p q hpq
dsimp at h hpq
dsimp [totalShift₂XIso]
rw [ι_D₁_assoc, Linear.comp_units_smul, ι_totalDesc_assoc, Linear.units_smul_comp,
ι_D₁, smul_smul, ((shiftFunctor₂ C y).obj K).d₁_eq _ rfl _ _ (by dsimp; omega),
K.d₁_eq _ rfl _ _ (by dsimp; omega)]
dsimp
rw [one_smul, one_smul, Category.assoc, ι_totalDesc, Linear.comp_units_smul,
← Int.negOnePow_add]
congr 2
linarith
· rw [D₁_shape _ _ _ _ h, zero_comp, D₁_shape, comp_zero, smul_zero]
intro h'
apply h
dsimp at h' ⊢
| Mathlib/Algebra/Homology/TotalComplexShift.lean | 247 | 267 |
/-
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.HomologicalComplexBiprod
import Mathlib.Algebra.Homology.Homotopy
import Mathlib.CategoryTheory.MorphismProperty.IsInvertedBy
/-! The homotopy cofiber of a morphism of homological complexes
In this file, we construct the homotopy cofiber of a morphism `φ : F ⟶ G`
between homological complexes in `HomologicalComplex C c`. In degree `i`,
it is isomorphic to `(F.X j) ⊞ (G.X i)` if there is a `j` such that `c.Rel i j`,
and `G.X i` otherwise. (This is also known as the mapping cone of `φ`. Under
the name `CochainComplex.mappingCone`, a specific API shall be developed
for the case of cochain complexes indexed by `ℤ`.)
When we assume `hc : ∀ j, ∃ i, c.Rel i j` (which holds in the case of chain complexes,
or cochain complexes indexed by `ℤ`), then for any homological complex `K`,
there is a bijection `HomologicalComplex.homotopyCofiber.descEquiv φ K hc`
between `homotopyCofiber φ ⟶ K` and the tuples `(α, hα)` with
`α : G ⟶ K` and `hα : Homotopy (φ ≫ α) 0`.
We shall also study the cylinder of a homological complex `K`: this is the
homotopy cofiber of the morphism `biprod.lift (𝟙 K) (-𝟙 K) : K ⟶ K ⊞ K`.
Then, a morphism `K.cylinder ⟶ M` is determined by the data of two
morphisms `φ₀ φ₁ : K ⟶ M` and a homotopy `h : Homotopy φ₀ φ₁`,
see `cylinder.desc`. There is also a homotopy equivalence
`cylinder.homotopyEquiv K : HomotopyEquiv K.cylinder K`. From the construction of
the cylinder, we deduce the lemma `Homotopy.map_eq_of_inverts_homotopyEquivalences`
which assert that if a functor inverts homotopy equivalences, then the image of
two homotopic maps are equal.
-/
open CategoryTheory Category Limits Preadditive
variable {C : Type*} [Category C] [Preadditive C]
namespace HomologicalComplex
variable {ι : Type*} {c : ComplexShape ι} {F G K : HomologicalComplex C c} (φ : F ⟶ G)
/-- A morphism of homological complexes `φ : F ⟶ G` has a homotopy cofiber if for all
indices `i` and `j` such that `c.Rel i j`, the binary biproduct `F.X j ⊞ G.X i` exists. -/
class HasHomotopyCofiber (φ : F ⟶ G) : Prop where
hasBinaryBiproduct (i j : ι) (hij : c.Rel i j) : HasBinaryBiproduct (F.X j) (G.X i)
instance [HasBinaryBiproducts C] : HasHomotopyCofiber φ where
hasBinaryBiproduct _ _ _ := inferInstance
variable [HasHomotopyCofiber φ] [DecidableRel c.Rel]
namespace homotopyCofiber
/-- The `X` field of the homological complex `homotopyCofiber φ`. -/
noncomputable def X (i : ι) : C :=
if hi : c.Rel i (c.next i)
then
haveI := HasHomotopyCofiber.hasBinaryBiproduct φ _ _ hi
(F.X (c.next i)) ⊞ (G.X i)
else G.X i
/-- The canonical isomorphism `(homotopyCofiber φ).X i ≅ F.X j ⊞ G.X i` when `c.Rel i j`. -/
noncomputable def XIsoBiprod (i j : ι) (hij : c.Rel i j) [HasBinaryBiproduct (F.X j) (G.X i)] :
X φ i ≅ F.X j ⊞ G.X i :=
eqToIso (by
obtain rfl := c.next_eq' hij
apply dif_pos hij)
/-- The canonical isomorphism `(homotopyCofiber φ).X i ≅ G.X i` when `¬ c.Rel i (c.next i)`. -/
noncomputable def XIso (i : ι) (hi : ¬ c.Rel i (c.next i)) :
X φ i ≅ G.X i :=
eqToIso (dif_neg hi)
/-- The second projection `(homotopyCofiber φ).X i ⟶ G.X i`. -/
noncomputable def sndX (i : ι) : X φ i ⟶ G.X i :=
if hi : c.Rel i (c.next i)
then
haveI := HasHomotopyCofiber.hasBinaryBiproduct φ _ _ hi
(XIsoBiprod φ _ _ hi).hom ≫ biprod.snd
else
(XIso φ i hi).hom
/-- The right inclusion `G.X i ⟶ (homotopyCofiber φ).X i`. -/
noncomputable def inrX (i : ι) : G.X i ⟶ X φ i :=
if hi : c.Rel i (c.next i)
then
haveI := HasHomotopyCofiber.hasBinaryBiproduct φ _ _ hi
biprod.inr ≫ (XIsoBiprod φ _ _ hi).inv
else
(XIso φ i hi).inv
@[reassoc (attr := simp)]
lemma inrX_sndX (i : ι) : inrX φ i ≫ sndX φ i = 𝟙 _ := by
dsimp [sndX, inrX]
split_ifs with hi <;> simp
@[reassoc]
lemma sndX_inrX (i : ι) (hi : ¬ c.Rel i (c.next i)) :
sndX φ i ≫ inrX φ i = 𝟙 _ := by
dsimp [sndX, inrX]
simp only [dif_neg hi, Iso.hom_inv_id]
/-- The first projection `(homotopyCofiber φ).X i ⟶ F.X j` when `c.Rel i j`. -/
noncomputable def fstX (i j : ι) (hij : c.Rel i j) : X φ i ⟶ F.X j :=
haveI := HasHomotopyCofiber.hasBinaryBiproduct φ _ _ hij
(XIsoBiprod φ i j hij).hom ≫ biprod.fst
/-- The left inclusion `F.X i ⟶ (homotopyCofiber φ).X j` when `c.Rel j i`. -/
noncomputable def inlX (i j : ι) (hij : c.Rel j i) : F.X i ⟶ X φ j :=
haveI := HasHomotopyCofiber.hasBinaryBiproduct φ _ _ hij
biprod.inl ≫ (XIsoBiprod φ j i hij).inv
@[reassoc (attr := simp)]
lemma inlX_fstX (i j : ι ) (hij : c.Rel j i) :
inlX φ i j hij ≫ fstX φ j i hij = 𝟙 _ := by
simp [inlX, fstX]
@[reassoc (attr := simp)]
lemma inlX_sndX (i j : ι) (hij : c.Rel j i) :
inlX φ i j hij ≫ sndX φ j = 0 := by
obtain rfl := c.next_eq' hij
simp [inlX, sndX, dif_pos hij]
@[reassoc (attr := simp)]
lemma inrX_fstX (i j : ι) (hij : c.Rel i j) :
inrX φ i ≫ fstX φ i j hij = 0 := by
obtain rfl := c.next_eq' hij
simp [inrX, fstX, dif_pos hij]
/-- The `d` field of the homological complex `homotopyCofiber φ`. -/
noncomputable def d (i j : ι) : X φ i ⟶ X φ j :=
if hij : c.Rel i j
then
(if hj : c.Rel j (c.next j) then -fstX φ i j hij ≫ F.d _ _ ≫ inlX φ _ _ hj else 0) +
fstX φ i j hij ≫ φ.f j ≫ inrX φ j + sndX φ i ≫ G.d i j ≫ inrX φ j
else
0
lemma ext_to_X (i j : ι) (hij : c.Rel i j) {A : C} {f g : A ⟶ X φ i}
(h₁ : f ≫ fstX φ i j hij = g ≫ fstX φ i j hij) (h₂ : f ≫ sndX φ i = g ≫ sndX φ i) :
f = g := by
haveI := HasHomotopyCofiber.hasBinaryBiproduct φ _ _ hij
rw [← cancel_mono (XIsoBiprod φ i j hij).hom]
apply biprod.hom_ext
· simpa using h₁
· obtain rfl := c.next_eq' hij
simpa [sndX, dif_pos hij] using h₂
lemma ext_to_X' (i : ι) (hi : ¬ c.Rel i (c.next i)) {A : C} {f g : A ⟶ X φ i}
(h : f ≫ sndX φ i = g ≫ sndX φ i) : f = g := by
rw [← cancel_mono (XIso φ i hi).hom]
simpa only [sndX, dif_neg hi] using h
lemma ext_from_X (i j : ι) (hij : c.Rel j i) {A : C} {f g : X φ j ⟶ A}
(h₁ : inlX φ i j hij ≫ f = inlX φ i j hij ≫ g) (h₂ : inrX φ j ≫ f = inrX φ j ≫ g) :
f = g := by
haveI := HasHomotopyCofiber.hasBinaryBiproduct φ _ _ hij
rw [← cancel_epi (XIsoBiprod φ j i hij).inv]
apply biprod.hom_ext'
· simpa [inlX] using h₁
· obtain rfl := c.next_eq' hij
simpa [inrX, dif_pos hij] using h₂
lemma ext_from_X' (i : ι) (hi : ¬ c.Rel i (c.next i)) {A : C} {f g : X φ i ⟶ A}
(h : inrX φ i ≫ f = inrX φ i ≫ g) : f = g := by
rw [← cancel_epi (XIso φ i hi).inv]
simpa only [inrX, dif_neg hi] using h
@[reassoc]
lemma d_fstX (i j k : ι) (hij : c.Rel i j) (hjk : c.Rel j k) :
d φ i j ≫ fstX φ j k hjk = -fstX φ i j hij ≫ F.d j k := by
obtain rfl := c.next_eq' hjk
simp [d, dif_pos hij, dif_pos hjk]
@[reassoc]
lemma d_sndX (i j : ι) (hij : c.Rel i j) :
d φ i j ≫ sndX φ j = fstX φ i j hij ≫ φ.f j + sndX φ i ≫ G.d i j := by
dsimp [d]
split_ifs with hij <;> simp
@[reassoc]
lemma inlX_d (i j k : ι) (hij : c.Rel i j) (hjk : c.Rel j k) :
inlX φ j i hij ≫ d φ i j = -F.d j k ≫ inlX φ k j hjk + φ.f j ≫ inrX φ j := by
apply ext_to_X φ j k hjk
· dsimp
simp [d_fstX φ _ _ _ hij hjk]
· simp [d_sndX φ _ _ hij]
@[reassoc]
lemma inlX_d' (i j : ι) (hij : c.Rel i j) (hj : ¬ c.Rel j (c.next j)) :
inlX φ j i hij ≫ d φ i j = φ.f j ≫ inrX φ j := by
apply ext_to_X' _ _ hj
simp [d_sndX φ i j hij]
lemma shape (i j : ι) (hij : ¬ c.Rel i j) :
d φ i j = 0 :=
dif_neg hij
@[reassoc (attr := simp)]
lemma inrX_d (i j : ι) :
inrX φ i ≫ d φ i j = G.d i j ≫ inrX φ j := by
by_cases hij : c.Rel i j
· by_cases hj : c.Rel j (c.next j)
· apply ext_to_X _ _ _ hj
· simp [d_fstX φ _ _ _ hij]
· simp [d_sndX φ _ _ hij]
· apply ext_to_X' _ _ hj
simp [d_sndX φ _ _ hij]
· rw [shape φ _ _ hij, G.shape _ _ hij, zero_comp, comp_zero]
end homotopyCofiber
/-- The homotopy cofiber of a morphism of homological complexes,
also known as the mapping cone. -/
@[simps]
noncomputable def homotopyCofiber : HomologicalComplex C c where
X i := homotopyCofiber.X φ i
d i j := homotopyCofiber.d φ i j
shape i j hij := homotopyCofiber.shape φ i j hij
d_comp_d' i j k hij hjk := by
apply homotopyCofiber.ext_from_X φ j i hij
· dsimp
simp only [comp_zero, homotopyCofiber.inlX_d_assoc φ i j k hij hjk,
add_comp, assoc, homotopyCofiber.inrX_d, Hom.comm_assoc, neg_comp]
by_cases hk : c.Rel k (c.next k)
· simp [homotopyCofiber.inlX_d φ j k _ hjk hk]
· simp [homotopyCofiber.inlX_d' φ j k hjk hk]
· simp
namespace homotopyCofiber
/-- The right inclusion `G ⟶ homotopyCofiber φ`. -/
@[simps!]
noncomputable def inr : G ⟶ homotopyCofiber φ where
f i := inrX φ i
section
/-- The composition `φ ≫ mappingCone.inr φ` is homotopic to `0`. -/
noncomputable def inrCompHomotopy (hc : ∀ j, ∃ i, c.Rel i j) :
Homotopy (φ ≫ inr φ) 0 where
hom i j :=
if hij : c.Rel j i then inlX φ i j hij else 0
zero _ _ hij := dif_neg hij
comm j := by
obtain ⟨i, hij⟩ := hc j
rw [prevD_eq _ hij, dif_pos hij]
by_cases hj : c.Rel j (c.next j)
· simp only [comp_f, homotopyCofiber_d, zero_f, add_zero,
inlX_d φ i j _ hij hj, dNext_eq _ hj, dif_pos hj,
add_neg_cancel_left, inr_f]
· rw [dNext_eq_zero _ _ hj, zero_add, zero_f, add_zero, homotopyCofiber_d,
inlX_d' _ _ _ _ hj, comp_f, inr_f]
variable (hc : ∀ j, ∃ i, c.Rel i j)
lemma inrCompHomotopy_hom (i j : ι) (hij : c.Rel j i) :
(inrCompHomotopy φ hc).hom i j = inlX φ i j hij := dif_pos hij
lemma inrCompHomotopy_hom_eq_zero (i j : ι) (hij : ¬ c.Rel j i) :
(inrCompHomotopy φ hc).hom i j = 0 := dif_neg hij
end
section
variable (α : G ⟶ K) (hα : Homotopy (φ ≫ α) 0)
/-- The morphism `homotopyCofiber φ ⟶ K` that is induced by a morphism `α : G ⟶ K`
and a homotopy `hα : Homotopy (φ ≫ α) 0`. -/
noncomputable def desc :
homotopyCofiber φ ⟶ K where
f j :=
if hj : c.Rel j (c.next j)
then fstX φ j _ hj ≫ hα.hom _ j + sndX φ j ≫ α.f j
else sndX φ j ≫ α.f j
comm' j k hjk := by
obtain rfl := c.next_eq' hjk
dsimp
simp [dif_pos hjk]
have H := hα.comm (c.next j)
simp only [comp_f, zero_f, add_zero, prevD_eq _ hjk] at H
split_ifs with hj
· simp only [comp_add, d_sndX_assoc _ _ _ hjk, add_comp, assoc, H,
d_fstX_assoc _ _ _ _ hjk, neg_comp, dNext, AddMonoidHom.mk'_apply]
abel
· simp only [d_sndX_assoc _ _ _ hjk, add_comp, assoc, add_left_inj, H,
dNext_eq_zero _ _ hj, zero_add]
lemma desc_f (j k : ι) (hjk : c.Rel j k) :
(desc φ α hα).f j = fstX φ j _ hjk ≫ hα.hom _ j + sndX φ j ≫ α.f j := by
obtain rfl := c.next_eq' hjk
apply dif_pos hjk
lemma desc_f' (j : ι) (hj : ¬ c.Rel j (c.next j)) :
(desc φ α hα).f j = sndX φ j ≫ α.f j := by
apply dif_neg hj
| @[reassoc (attr := simp)]
lemma inlX_desc_f (i j : ι) (hjk : c.Rel j i) :
inlX φ i j hjk ≫ (desc φ α hα).f j = hα.hom i j := by
obtain rfl := c.next_eq' hjk
dsimp [desc]
rw [dif_pos hjk, comp_add, inlX_fstX_assoc, inlX_sndX_assoc, zero_comp, add_zero]
| Mathlib/Algebra/Homology/HomotopyCofiber.lean | 303 | 308 |
/-
Copyright (c) 2015 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro
-/
import Mathlib.Data.Multiset.ZeroCons
/-!
# Basic results on multisets
-/
-- No algebra should be required
assert_not_exists Monoid
universe v
open List Subtype Nat Function
variable {α : Type*} {β : Type v} {γ : Type*}
namespace Multiset
/-! ### `Multiset.toList` -/
section ToList
/-- Produces a list of the elements in the multiset using choice. -/
noncomputable def toList (s : Multiset α) :=
s.out
@[simp, norm_cast]
theorem coe_toList (s : Multiset α) : (s.toList : Multiset α) = s :=
s.out_eq'
@[simp]
theorem toList_eq_nil {s : Multiset α} : s.toList = [] ↔ s = 0 := by
rw [← coe_eq_zero, coe_toList]
theorem empty_toList {s : Multiset α} : s.toList.isEmpty ↔ s = 0 := by simp
@[simp]
theorem toList_zero : (Multiset.toList 0 : List α) = [] :=
toList_eq_nil.mpr rfl
@[simp]
theorem mem_toList {a : α} {s : Multiset α} : a ∈ s.toList ↔ a ∈ s := by
rw [← mem_coe, coe_toList]
@[simp]
theorem toList_eq_singleton_iff {a : α} {m : Multiset α} : m.toList = [a] ↔ m = {a} := by
rw [← perm_singleton, ← coe_eq_coe, coe_toList, coe_singleton]
@[simp]
theorem toList_singleton (a : α) : ({a} : Multiset α).toList = [a] :=
Multiset.toList_eq_singleton_iff.2 rfl
@[simp]
theorem length_toList (s : Multiset α) : s.toList.length = card s := by
rw [← coe_card, coe_toList]
end ToList
/-! ### Induction principles -/
/-- The strong induction principle for multisets. -/
@[elab_as_elim]
def strongInductionOn {p : Multiset α → Sort*} (s : Multiset α) (ih : ∀ s, (∀ t < s, p t) → p s) :
p s :=
(ih s) fun t _h =>
strongInductionOn t ih
termination_by card s
decreasing_by exact card_lt_card _h
theorem strongInductionOn_eq {p : Multiset α → Sort*} (s : Multiset α) (H) :
@strongInductionOn _ p s H = H s fun t _h => @strongInductionOn _ p t H := by
rw [strongInductionOn]
@[elab_as_elim]
theorem case_strongInductionOn {p : Multiset α → Prop} (s : Multiset α) (h₀ : p 0)
(h₁ : ∀ a s, (∀ t ≤ s, p t) → p (a ::ₘ s)) : p s :=
Multiset.strongInductionOn s fun s =>
Multiset.induction_on s (fun _ => h₀) fun _a _s _ ih =>
(h₁ _ _) fun _t h => ih _ <| lt_of_le_of_lt h <| lt_cons_self _ _
/-- Suppose that, given that `p t` can be defined on all supersets of `s` of cardinality less than
`n`, one knows how to define `p s`. Then one can inductively define `p s` for all multisets `s` of
cardinality less than `n`, starting from multisets of card `n` and iterating. This
can be used either to define data, or to prove properties. -/
def strongDownwardInduction {p : Multiset α → Sort*} {n : ℕ}
(H : ∀ t₁, (∀ {t₂ : Multiset α}, card t₂ ≤ n → t₁ < t₂ → p t₂) → card t₁ ≤ n → p t₁)
(s : Multiset α) :
card s ≤ n → p s :=
H s fun {t} ht _h =>
strongDownwardInduction H t ht
termination_by n - card s
decreasing_by simp_wf; have := (card_lt_card _h); omega
theorem strongDownwardInduction_eq {p : Multiset α → Sort*} {n : ℕ}
(H : ∀ t₁, (∀ {t₂ : Multiset α}, card t₂ ≤ n → t₁ < t₂ → p t₂) → card t₁ ≤ n → p t₁)
(s : Multiset α) :
strongDownwardInduction H s = H s fun ht _hst => strongDownwardInduction H _ ht := by
rw [strongDownwardInduction]
/-- Analogue of `strongDownwardInduction` with order of arguments swapped. -/
@[elab_as_elim]
def strongDownwardInductionOn {p : Multiset α → Sort*} {n : ℕ} :
∀ s : Multiset α,
(∀ t₁, (∀ {t₂ : Multiset α}, card t₂ ≤ n → t₁ < t₂ → p t₂) → card t₁ ≤ n → p t₁) →
card s ≤ n → p s :=
fun s H => strongDownwardInduction H s
theorem strongDownwardInductionOn_eq {p : Multiset α → Sort*} (s : Multiset α) {n : ℕ}
(H : ∀ t₁, (∀ {t₂ : Multiset α}, card t₂ ≤ n → t₁ < t₂ → p t₂) → card t₁ ≤ n → p t₁) :
s.strongDownwardInductionOn H = H s fun {t} ht _h => t.strongDownwardInductionOn H ht := by
dsimp only [strongDownwardInductionOn]
rw [strongDownwardInduction]
section Choose
variable (p : α → Prop) [DecidablePred p] (l : Multiset α)
/-- Given a proof `hp` that there exists a unique `a ∈ l` such that `p a`, `chooseX p l hp` returns
that `a` together with proofs of `a ∈ l` and `p a`. -/
def chooseX : ∀ _hp : ∃! a, a ∈ l ∧ p a, { a // a ∈ l ∧ p a } :=
Quotient.recOn l (fun l' ex_unique => List.chooseX p l' (ExistsUnique.exists ex_unique))
(by
intros a b _
funext hp
suffices all_equal : ∀ x y : { t // t ∈ b ∧ p t }, x = y by
apply all_equal
rintro ⟨x, px⟩ ⟨y, py⟩
rcases hp with ⟨z, ⟨_z_mem_l, _pz⟩, z_unique⟩
congr
calc
x = z := z_unique x px
_ = y := (z_unique y py).symm
)
/-- Given a proof `hp` that there exists a unique `a ∈ l` such that `p a`, `choose p l hp` returns
that `a`. -/
def choose (hp : ∃! a, a ∈ l ∧ p a) : α :=
chooseX p l hp
theorem choose_spec (hp : ∃! a, a ∈ l ∧ p a) : choose p l hp ∈ l ∧ p (choose p l hp) :=
(chooseX p l hp).property
theorem choose_mem (hp : ∃! a, a ∈ l ∧ p a) : choose p l hp ∈ l :=
(choose_spec _ _ _).1
theorem choose_property (hp : ∃! a, a ∈ l ∧ p a) : p (choose p l hp) :=
(choose_spec _ _ _).2
end Choose
variable (α) in
/-- The equivalence between lists and multisets of a subsingleton type. -/
def subsingletonEquiv [Subsingleton α] : List α ≃ Multiset α where
toFun := ofList
invFun :=
(Quot.lift id) fun (a b : List α) (h : a ~ b) =>
(List.ext_get h.length_eq) fun _ _ _ => Subsingleton.elim _ _
left_inv _ := rfl
right_inv m := Quot.inductionOn m fun _ => rfl
@[simp]
theorem coe_subsingletonEquiv [Subsingleton α] :
(subsingletonEquiv α : List α → Multiset α) = ofList :=
rfl
section SizeOf
set_option linter.deprecated false in
@[deprecated "Deprecated without replacement." (since := "2025-02-07")]
theorem sizeOf_lt_sizeOf_of_mem [SizeOf α] {x : α} {s : Multiset α} (hx : x ∈ s) :
SizeOf.sizeOf x < SizeOf.sizeOf s := by
induction s using Quot.inductionOn
exact List.sizeOf_lt_sizeOf_of_mem hx
end SizeOf
end Multiset
| Mathlib/Data/Multiset/Basic.lean | 1,205 | 1,208 | |
/-
Copyright (c) 2021 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov
-/
import Mathlib.Algebra.BigOperators.Option
import Mathlib.Analysis.BoxIntegral.Box.Basic
import Mathlib.Data.Set.Pairwise.Lattice
/-!
# Partitions of rectangular boxes in `ℝⁿ`
In this file we define (pre)partitions of rectangular boxes in `ℝⁿ`. A partition of a box `I` in
`ℝⁿ` (see `BoxIntegral.Prepartition` and `BoxIntegral.Prepartition.IsPartition`) is a finite set
of pairwise disjoint boxes such that their union is exactly `I`. We use `boxes : Finset (Box ι)` to
store the set of boxes.
Many lemmas about box integrals deal with pairwise disjoint collections of subboxes, so we define a
structure `BoxIntegral.Prepartition (I : BoxIntegral.Box ι)` that stores a collection of boxes
such that
* each box `J ∈ boxes` is a subbox of `I`;
* the boxes are pairwise disjoint as sets in `ℝⁿ`.
Then we define a predicate `BoxIntegral.Prepartition.IsPartition`; `π.IsPartition` means that the
boxes of `π` actually cover the whole `I`. We also define some operations on prepartitions:
* `BoxIntegral.Prepartition.biUnion`: split each box of a partition into smaller boxes;
* `BoxIntegral.Prepartition.restrict`: restrict a partition to a smaller box.
We also define a `SemilatticeInf` structure on `BoxIntegral.Prepartition I` for all
`I : BoxIntegral.Box ι`.
## Tags
rectangular box, partition
-/
open Set Finset Function
open scoped NNReal
noncomputable section
namespace BoxIntegral
variable {ι : Type*}
/-- A prepartition of `I : BoxIntegral.Box ι` is a finite set of pairwise disjoint subboxes of
`I`. -/
structure Prepartition (I : Box ι) where
/-- The underlying set of boxes -/
boxes : Finset (Box ι)
/-- Each box is a sub-box of `I` -/
le_of_mem' : ∀ J ∈ boxes, J ≤ I
/-- The boxes in a prepartition are pairwise disjoint. -/
pairwiseDisjoint : Set.Pairwise (↑boxes) (Disjoint on ((↑) : Box ι → Set (ι → ℝ)))
namespace Prepartition
variable {I J J₁ J₂ : Box ι} (π : Prepartition I) {π₁ π₂ : Prepartition I} {x : ι → ℝ}
instance : Membership (Box ι) (Prepartition I) :=
⟨fun π J => J ∈ π.boxes⟩
@[simp]
theorem mem_boxes : J ∈ π.boxes ↔ J ∈ π := Iff.rfl
@[simp]
theorem mem_mk {s h₁ h₂} : J ∈ (mk s h₁ h₂ : Prepartition I) ↔ J ∈ s := Iff.rfl
theorem disjoint_coe_of_mem (h₁ : J₁ ∈ π) (h₂ : J₂ ∈ π) (h : J₁ ≠ J₂) :
Disjoint (J₁ : Set (ι → ℝ)) J₂ :=
π.pairwiseDisjoint h₁ h₂ h
theorem eq_of_mem_of_mem (h₁ : J₁ ∈ π) (h₂ : J₂ ∈ π) (hx₁ : x ∈ J₁) (hx₂ : x ∈ J₂) : J₁ = J₂ :=
by_contra fun H => (π.disjoint_coe_of_mem h₁ h₂ H).le_bot ⟨hx₁, hx₂⟩
theorem eq_of_le_of_le (h₁ : J₁ ∈ π) (h₂ : J₂ ∈ π) (hle₁ : J ≤ J₁) (hle₂ : J ≤ J₂) : J₁ = J₂ :=
π.eq_of_mem_of_mem h₁ h₂ (hle₁ J.upper_mem) (hle₂ J.upper_mem)
theorem eq_of_le (h₁ : J₁ ∈ π) (h₂ : J₂ ∈ π) (hle : J₁ ≤ J₂) : J₁ = J₂ :=
π.eq_of_le_of_le h₁ h₂ le_rfl hle
theorem le_of_mem (hJ : J ∈ π) : J ≤ I :=
π.le_of_mem' J hJ
theorem lower_le_lower (hJ : J ∈ π) : I.lower ≤ J.lower :=
Box.antitone_lower (π.le_of_mem hJ)
theorem upper_le_upper (hJ : J ∈ π) : J.upper ≤ I.upper :=
Box.monotone_upper (π.le_of_mem hJ)
theorem injective_boxes : Function.Injective (boxes : Prepartition I → Finset (Box ι)) := by
rintro ⟨s₁, h₁, h₁'⟩ ⟨s₂, h₂, h₂'⟩ (rfl : s₁ = s₂)
rfl
@[ext]
theorem ext (h : ∀ J, J ∈ π₁ ↔ J ∈ π₂) : π₁ = π₂ :=
injective_boxes <| Finset.ext h
/-- The singleton prepartition `{J}`, `J ≤ I`. -/
@[simps]
def single (I J : Box ι) (h : J ≤ I) : Prepartition I :=
⟨{J}, by simpa, by simp⟩
@[simp]
theorem mem_single {J'} (h : J ≤ I) : J' ∈ single I J h ↔ J' = J :=
mem_singleton
/-- We say that `π ≤ π'` if each box of `π` is a subbox of some box of `π'`. -/
instance : LE (Prepartition I) :=
⟨fun π π' => ∀ ⦃I⦄, I ∈ π → ∃ I' ∈ π', I ≤ I'⟩
instance partialOrder : PartialOrder (Prepartition I) where
le := (· ≤ ·)
le_refl _ I hI := ⟨I, hI, le_rfl⟩
le_trans _ _ _ h₁₂ h₂₃ _ hI₁ :=
let ⟨_, hI₂, hI₁₂⟩ := h₁₂ hI₁
let ⟨I₃, hI₃, hI₂₃⟩ := h₂₃ hI₂
⟨I₃, hI₃, hI₁₂.trans hI₂₃⟩
le_antisymm := by
suffices ∀ {π₁ π₂ : Prepartition I}, π₁ ≤ π₂ → π₂ ≤ π₁ → π₁.boxes ⊆ π₂.boxes from
fun π₁ π₂ h₁ h₂ => injective_boxes (Subset.antisymm (this h₁ h₂) (this h₂ h₁))
intro π₁ π₂ h₁ h₂ J hJ
rcases h₁ hJ with ⟨J', hJ', hle⟩; rcases h₂ hJ' with ⟨J'', hJ'', hle'⟩
obtain rfl : J = J'' := π₁.eq_of_le hJ hJ'' (hle.trans hle')
obtain rfl : J' = J := le_antisymm ‹_› ‹_›
assumption
instance : OrderTop (Prepartition I) where
top := single I I le_rfl
le_top π _ hJ := ⟨I, by simp, π.le_of_mem hJ⟩
instance : OrderBot (Prepartition I) where
bot := ⟨∅,
fun _ hJ => (Finset.not_mem_empty _ hJ).elim,
fun _ hJ => (Set.not_mem_empty _ <| Finset.coe_empty ▸ hJ).elim⟩
bot_le _ _ hJ := (Finset.not_mem_empty _ hJ).elim
instance : Inhabited (Prepartition I) := ⟨⊤⟩
theorem le_def : π₁ ≤ π₂ ↔ ∀ J ∈ π₁, ∃ J' ∈ π₂, J ≤ J' := Iff.rfl
@[simp]
theorem mem_top : J ∈ (⊤ : Prepartition I) ↔ J = I :=
mem_singleton
@[simp]
theorem top_boxes : (⊤ : Prepartition I).boxes = {I} := rfl
@[simp]
theorem not_mem_bot : J ∉ (⊥ : Prepartition I) :=
Finset.not_mem_empty _
@[simp]
theorem bot_boxes : (⊥ : Prepartition I).boxes = ∅ := rfl
/-- An auxiliary lemma used to prove that the same point can't belong to more than
`2 ^ Fintype.card ι` closed boxes of a prepartition. -/
theorem injOn_setOf_mem_Icc_setOf_lower_eq (x : ι → ℝ) :
InjOn (fun J : Box ι => { i | J.lower i = x i }) { J | J ∈ π ∧ x ∈ Box.Icc J } := by
rintro J₁ ⟨h₁, hx₁⟩ J₂ ⟨h₂, hx₂⟩ (H : { i | J₁.lower i = x i } = { i | J₂.lower i = x i })
suffices ∀ i, (Ioc (J₁.lower i) (J₁.upper i) ∩ Ioc (J₂.lower i) (J₂.upper i)).Nonempty by
choose y hy₁ hy₂ using this
exact π.eq_of_mem_of_mem h₁ h₂ hy₁ hy₂
intro i
simp only [Set.ext_iff, mem_setOf] at H
rcases (hx₁.1 i).eq_or_lt with hi₁ | hi₁
· have hi₂ : J₂.lower i = x i := (H _).1 hi₁
have H₁ : x i < J₁.upper i := by simpa only [hi₁] using J₁.lower_lt_upper i
have H₂ : x i < J₂.upper i := by simpa only [hi₂] using J₂.lower_lt_upper i
rw [Set.Ioc_inter_Ioc, hi₁, hi₂, sup_idem, Set.nonempty_Ioc]
exact lt_min H₁ H₂
· have hi₂ : J₂.lower i < x i := (hx₂.1 i).lt_of_ne (mt (H _).2 hi₁.ne)
exact ⟨x i, ⟨hi₁, hx₁.2 i⟩, ⟨hi₂, hx₂.2 i⟩⟩
open scoped Classical in
/-- The set of boxes of a prepartition that contain `x` in their closures has cardinality
at most `2 ^ Fintype.card ι`. -/
theorem card_filter_mem_Icc_le [Fintype ι] (x : ι → ℝ) :
#{J ∈ π.boxes | x ∈ Box.Icc J} ≤ 2 ^ Fintype.card ι := by
rw [← Fintype.card_set]
refine Finset.card_le_card_of_injOn (fun J : Box ι => { i | J.lower i = x i })
(fun _ _ => Finset.mem_univ _) ?_
simpa using π.injOn_setOf_mem_Icc_setOf_lower_eq x
/-- Given a prepartition `π : BoxIntegral.Prepartition I`, `π.iUnion` is the part of `I` covered by
the boxes of `π`. -/
protected def iUnion : Set (ι → ℝ) :=
⋃ J ∈ π, ↑J
theorem iUnion_def : π.iUnion = ⋃ J ∈ π, ↑J := rfl
theorem iUnion_def' : π.iUnion = ⋃ J ∈ π.boxes, ↑J := rfl
-- Porting note: Previous proof was `:= Set.mem_iUnion₂`
@[simp]
theorem mem_iUnion : x ∈ π.iUnion ↔ ∃ J ∈ π, x ∈ J := by
convert Set.mem_iUnion₂
rw [Box.mem_coe, exists_prop]
@[simp]
theorem iUnion_single (h : J ≤ I) : (single I J h).iUnion = J := by simp [iUnion_def]
@[simp]
theorem iUnion_top : (⊤ : Prepartition I).iUnion = I := by simp [Prepartition.iUnion]
@[simp]
theorem iUnion_eq_empty : π₁.iUnion = ∅ ↔ π₁ = ⊥ := by
simp [← injective_boxes.eq_iff, Finset.ext_iff, Prepartition.iUnion, imp_false]
@[simp]
theorem iUnion_bot : (⊥ : Prepartition I).iUnion = ∅ :=
iUnion_eq_empty.2 rfl
theorem subset_iUnion (h : J ∈ π) : ↑J ⊆ π.iUnion :=
subset_biUnion_of_mem h
theorem iUnion_subset : π.iUnion ⊆ I :=
iUnion₂_subset π.le_of_mem'
@[mono]
theorem iUnion_mono (h : π₁ ≤ π₂) : π₁.iUnion ⊆ π₂.iUnion := fun _ hx =>
let ⟨_, hJ₁, hx⟩ := π₁.mem_iUnion.1 hx
let ⟨J₂, hJ₂, hle⟩ := h hJ₁
π₂.mem_iUnion.2 ⟨J₂, hJ₂, hle hx⟩
theorem disjoint_boxes_of_disjoint_iUnion (h : Disjoint π₁.iUnion π₂.iUnion) :
Disjoint π₁.boxes π₂.boxes :=
Finset.disjoint_left.2 fun J h₁ h₂ =>
Disjoint.le_bot (h.mono (π₁.subset_iUnion h₁) (π₂.subset_iUnion h₂)) ⟨J.upper_mem, J.upper_mem⟩
theorem le_iff_nonempty_imp_le_and_iUnion_subset :
π₁ ≤ π₂ ↔
(∀ J ∈ π₁, ∀ J' ∈ π₂, (J ∩ J' : Set (ι → ℝ)).Nonempty → J ≤ J') ∧ π₁.iUnion ⊆ π₂.iUnion := by
constructor
· refine fun H => ⟨fun J hJ J' hJ' Hne => ?_, iUnion_mono H⟩
rcases H hJ with ⟨J'', hJ'', Hle⟩
rcases Hne with ⟨x, hx, hx'⟩
| rwa [π₂.eq_of_mem_of_mem hJ' hJ'' hx' (Hle hx)]
· rintro ⟨H, HU⟩ J hJ
| Mathlib/Analysis/BoxIntegral/Partition/Basic.lean | 240 | 241 |
/-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Algebra.BigOperators.Expect
import Mathlib.Algebra.BigOperators.Field
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctions.Pow.NNReal
import Mathlib.Data.Real.ConjExponents
/-!
# Mean value inequalities
In this file we prove several inequalities for finite sums, including AM-GM inequality,
HM-GM inequality, Young's inequality, Hölder inequality, and Minkowski inequality. Versions for
integrals of some of these inequalities are available in
`Mathlib.MeasureTheory.Integral.MeanInequalities`.
## Main theorems
### AM-GM inequality:
The inequality says that the geometric mean of a tuple of non-negative numbers is less than or equal
to their arithmetic mean. We prove the weighted version of this inequality: if $w$ and $z$
are two non-negative vectors and $\sum_{i\in s} w_i=1$, then
$$
\prod_{i\in s} z_i^{w_i} ≤ \sum_{i\in s} w_iz_i.
$$
The classical version is a special case of this inequality for $w_i=\frac{1}{n}$.
We prove a few versions of this inequality. Each of the following lemmas comes in two versions:
a version for real-valued non-negative functions is in the `Real` namespace, and a version for
`NNReal`-valued functions is in the `NNReal` namespace.
- `geom_mean_le_arith_mean_weighted` : weighted version for functions on `Finset`s;
- `geom_mean_le_arith_mean2_weighted` : weighted version for two numbers;
- `geom_mean_le_arith_mean3_weighted` : weighted version for three numbers;
- `geom_mean_le_arith_mean4_weighted` : weighted version for four numbers.
### HM-GM inequality:
The inequality says that the harmonic mean of a tuple of positive numbers is less than or equal
to their geometric mean. We prove the weighted version of this inequality: if $w$ and $z$
are two positive vectors and $\sum_{i\in s} w_i=1$, then
$$
1/(\sum_{i\in s} w_i/z_i) ≤ \prod_{i\in s} z_i^{w_i}
$$
The classical version is proven as a special case of this inequality for $w_i=\frac{1}{n}$.
The inequalities are proven only for real valued positive functions on `Finset`s, and namespaced in
`Real`. The weighted version follows as a corollary of the weighted AM-GM inequality.
### Young's inequality
Young's inequality says that for non-negative numbers `a`, `b`, `p`, `q` such that
$\frac{1}{p}+\frac{1}{q}=1$ we have
$$
ab ≤ \frac{a^p}{p} + \frac{b^q}{q}.
$$
This inequality is a special case of the AM-GM inequality. It is then used to prove Hölder's
inequality (see below).
### Hölder's inequality
The inequality says that for two conjugate exponents `p` and `q` (i.e., for two positive numbers
such that $\frac{1}{p}+\frac{1}{q}=1$) and any two non-negative vectors their inner product is
less than or equal to the product of the $L_p$ norm of the first vector and the $L_q$ norm of the
second vector:
$$
\sum_{i\in s} a_ib_i ≤ \sqrt[p]{\sum_{i\in s} a_i^p}\sqrt[q]{\sum_{i\in s} b_i^q}.
$$
We give versions of this result in `ℝ`, `ℝ≥0` and `ℝ≥0∞`.
There are at least two short proofs of this inequality. In our proof we prenormalize both vectors,
then apply Young's inequality to each $a_ib_i$. Another possible proof would be to deduce this
inequality from the generalized mean inequality for well-chosen vectors and weights.
### Minkowski's inequality
The inequality says that for `p ≥ 1` the function
$$
\|a\|_p=\sqrt[p]{\sum_{i\in s} a_i^p}
$$
satisfies the triangle inequality $\|a+b\|_p\le \|a\|_p+\|b\|_p$.
We give versions of this result in `Real`, `ℝ≥0` and `ℝ≥0∞`.
We deduce this inequality from Hölder's inequality. Namely, Hölder inequality implies that $\|a\|_p$
is the maximum of the inner product $\sum_{i\in s}a_ib_i$ over `b` such that $\|b\|_q\le 1$. Now
Minkowski's inequality follows from the fact that the maximum value of the sum of two functions is
less than or equal to the sum of the maximum values of the summands.
## TODO
- each inequality `A ≤ B` should come with a theorem `A = B ↔ _`; one of the ways to prove them
is to define `StrictConvexOn` functions.
- generalized mean inequality with any `p ≤ q`, including negative numbers;
- prove that the power mean tends to the geometric mean as the exponent tends to zero.
-/
universe u v
open Finset NNReal ENNReal
open scoped BigOperators
noncomputable section
variable {ι : Type u} (s : Finset ι)
section GeomMeanLEArithMean
/-! ### AM-GM inequality -/
namespace Real
/-- **AM-GM inequality**: The geometric mean is less than or equal to the arithmetic mean, weighted
version for real-valued nonnegative functions. -/
theorem geom_mean_le_arith_mean_weighted (w z : ι → ℝ) (hw : ∀ i ∈ s, 0 ≤ w i)
(hw' : ∑ i ∈ s, w i = 1) (hz : ∀ i ∈ s, 0 ≤ z i) :
∏ i ∈ s, z i ^ w i ≤ ∑ i ∈ s, w i * z i := by
-- If some number `z i` equals zero and has non-zero weight, then LHS is 0 and RHS is nonnegative.
by_cases A : ∃ i ∈ s, z i = 0 ∧ w i ≠ 0
· rcases A with ⟨i, his, hzi, hwi⟩
rw [prod_eq_zero his]
· exact sum_nonneg fun j hj => mul_nonneg (hw j hj) (hz j hj)
· rw [hzi]
exact zero_rpow hwi
-- If all numbers `z i` with non-zero weight are positive, then we apply Jensen's inequality
-- for `exp` and numbers `log (z i)` with weights `w i`.
· simp only [not_exists, not_and, Ne, Classical.not_not] at A
have := convexOn_exp.map_sum_le hw hw' fun i _ => Set.mem_univ <| log (z i)
simp only [exp_sum, smul_eq_mul, mul_comm (w _) (log _)] at this
convert this using 1 <;> [apply prod_congr rfl;apply sum_congr rfl] <;> intro i hi
· rcases eq_or_lt_of_le (hz i hi) with hz | hz
· simp [A i hi hz.symm]
· exact rpow_def_of_pos hz _
· rcases eq_or_lt_of_le (hz i hi) with hz | hz
· simp [A i hi hz.symm]
· rw [exp_log hz]
/-- **AM-GM inequality**: The **geometric mean is less than or equal to the arithmetic mean. -/
theorem geom_mean_le_arith_mean {ι : Type*} (s : Finset ι) (w : ι → ℝ) (z : ι → ℝ)
(hw : ∀ i ∈ s, 0 ≤ w i) (hw' : 0 < ∑ i ∈ s, w i) (hz : ∀ i ∈ s, 0 ≤ z i) :
(∏ i ∈ s, z i ^ w i) ^ (∑ i ∈ s, w i)⁻¹ ≤ (∑ i ∈ s, w i * z i) / (∑ i ∈ s, w i) := by
convert geom_mean_le_arith_mean_weighted s (fun i => (w i) / ∑ i ∈ s, w i) z ?_ ?_ hz using 2
· rw [← finset_prod_rpow _ _ (fun i hi => rpow_nonneg (hz _ hi) _) _]
refine Finset.prod_congr rfl (fun _ ih => ?_)
rw [div_eq_mul_inv, rpow_mul (hz _ ih)]
· simp_rw [div_eq_mul_inv, mul_assoc, mul_comm, ← mul_assoc, ← Finset.sum_mul, mul_comm]
· exact fun _ hi => div_nonneg (hw _ hi) (le_of_lt hw')
· simp_rw [div_eq_mul_inv, ← Finset.sum_mul]
exact mul_inv_cancel₀ (by linarith)
theorem geom_mean_weighted_of_constant (w z : ι → ℝ) (x : ℝ) (hw : ∀ i ∈ s, 0 ≤ w i)
(hw' : ∑ i ∈ s, w i = 1) (hz : ∀ i ∈ s, 0 ≤ z i) (hx : ∀ i ∈ s, w i ≠ 0 → z i = x) :
∏ i ∈ s, z i ^ w i = x :=
calc
∏ i ∈ s, z i ^ w i = ∏ i ∈ s, x ^ w i := by
refine prod_congr rfl fun i hi => ?_
rcases eq_or_ne (w i) 0 with h₀ | h₀
· rw [h₀, rpow_zero, rpow_zero]
· rw [hx i hi h₀]
_ = x := by
rw [← rpow_sum_of_nonneg _ hw, hw', rpow_one]
have : (∑ i ∈ s, w i) ≠ 0 := by
rw [hw']
exact one_ne_zero
obtain ⟨i, his, hi⟩ := exists_ne_zero_of_sum_ne_zero this
rw [← hx i his hi]
exact hz i his
theorem arith_mean_weighted_of_constant (w z : ι → ℝ) (x : ℝ) (hw' : ∑ i ∈ s, w i = 1)
(hx : ∀ i ∈ s, w i ≠ 0 → z i = x) : ∑ i ∈ s, w i * z i = x :=
calc
∑ i ∈ s, w i * z i = ∑ i ∈ s, w i * x := by
refine sum_congr rfl fun i hi => ?_
rcases eq_or_ne (w i) 0 with hwi | hwi
· rw [hwi, zero_mul, zero_mul]
· rw [hx i hi hwi]
_ = x := by rw [← sum_mul, hw', one_mul]
theorem geom_mean_eq_arith_mean_weighted_of_constant (w z : ι → ℝ) (x : ℝ) (hw : ∀ i ∈ s, 0 ≤ w i)
(hw' : ∑ i ∈ s, w i = 1) (hz : ∀ i ∈ s, 0 ≤ z i) (hx : ∀ i ∈ s, w i ≠ 0 → z i = x) :
∏ i ∈ s, z i ^ w i = ∑ i ∈ s, w i * z i := by
rw [geom_mean_weighted_of_constant, arith_mean_weighted_of_constant] <;> assumption
/-- **AM-GM inequality - equality condition**: This theorem provides the equality condition for the
*positive* weighted version of the AM-GM inequality for real-valued nonnegative functions. -/
theorem geom_mean_eq_arith_mean_weighted_iff' (w z : ι → ℝ) (hw : ∀ i ∈ s, 0 < w i)
(hw' : ∑ i ∈ s, w i = 1) (hz : ∀ i ∈ s, 0 ≤ z i) :
∏ i ∈ s, z i ^ w i = ∑ i ∈ s, w i * z i ↔ ∀ j ∈ s, z j = ∑ i ∈ s, w i * z i := by
by_cases A : ∃ i ∈ s, z i = 0 ∧ w i ≠ 0
· rcases A with ⟨i, his, hzi, hwi⟩
rw [prod_eq_zero his]
· constructor
· intro h
rw [← h]
intro j hj
apply eq_zero_of_ne_zero_of_mul_left_eq_zero (ne_of_lt (hw j hj)).symm
apply (sum_eq_zero_iff_of_nonneg ?_).mp h.symm j hj
exact fun i hi => (mul_nonneg_iff_of_pos_left (hw i hi)).mpr (hz i hi)
· intro h
convert h i his
exact hzi.symm
· rw [hzi]
exact zero_rpow hwi
· simp only [not_exists, not_and] at A
have hz' := fun i h => lt_of_le_of_ne (hz i h) (fun a => (A i h a.symm) (ne_of_gt (hw i h)))
have := strictConvexOn_exp.map_sum_eq_iff hw hw' fun i _ => Set.mem_univ <| log (z i)
simp only [exp_sum, smul_eq_mul, mul_comm (w _) (log _)] at this
convert this using 1
· apply Eq.congr <;>
[apply prod_congr rfl; apply sum_congr rfl] <;>
intro i hi <;>
simp only [exp_mul, exp_log (hz' i hi)]
· constructor <;> intro h j hj
· rw [← arith_mean_weighted_of_constant s w _ (log (z j)) hw' fun i _ => congrFun rfl]
apply sum_congr rfl
intro x hx
simp only [mul_comm, h j hj, h x hx]
· rw [← arith_mean_weighted_of_constant s w _ (z j) hw' fun i _ => congrFun rfl]
apply sum_congr rfl
intro x hx
simp only [log_injOn_pos (hz' j hj) (hz' x hx), h j hj, h x hx]
/-- **AM-GM inequality - equality condition**: This theorem provides the equality condition for the
weighted version of the AM-GM inequality for real-valued nonnegative functions. -/
theorem geom_mean_eq_arith_mean_weighted_iff (w z : ι → ℝ) (hw : ∀ i ∈ s, 0 ≤ w i)
(hw' : ∑ i ∈ s, w i = 1) (hz : ∀ i ∈ s, 0 ≤ z i) :
∏ i ∈ s, z i ^ w i = ∑ i ∈ s, w i * z i ↔ ∀ j ∈ s, w j ≠ 0 → z j = ∑ i ∈ s, w i * z i := by
have h (i) (_ : i ∈ s) : w i * z i ≠ 0 → w i ≠ 0 := by apply left_ne_zero_of_mul
have h' (i) (_ : i ∈ s) : z i ^ w i ≠ 1 → w i ≠ 0 := by
by_contra!
obtain ⟨h1, h2⟩ := this
simp only [h2, rpow_zero, ne_self_iff_false] at h1
rw [← sum_filter_of_ne h, ← prod_filter_of_ne h', geom_mean_eq_arith_mean_weighted_iff']
· simp
· simp +contextual [(hw _ _).gt_iff_ne]
· rwa [sum_filter_ne_zero]
· simp_all only [ne_eq, mul_eq_zero, not_or, not_false_eq_true, and_imp, implies_true, mem_filter]
/-- **AM-GM inequality - strict inequality condition**: This theorem provides the strict inequality
condition for the *positive* weighted version of the AM-GM inequality for real-valued nonnegative
functions. -/
theorem geom_mean_lt_arith_mean_weighted_iff_of_pos (w z : ι → ℝ) (hw : ∀ i ∈ s, 0 < w i)
(hw' : ∑ i ∈ s, w i = 1) (hz : ∀ i ∈ s, 0 ≤ z i) :
∏ i ∈ s, z i ^ w i < ∑ i ∈ s, w i * z i ↔ ∃ j ∈ s, ∃ k ∈ s, z j ≠ z k:= by
constructor
· intro h
by_contra! h_contra
rw [(geom_mean_eq_arith_mean_weighted_iff' s w z hw hw' hz).mpr ?_] at h
· exact (lt_self_iff_false _).mp h
· intro j hjs
rw [← arith_mean_weighted_of_constant s w (fun _ => z j) (z j) hw' fun _ _ => congrFun rfl]
apply sum_congr rfl (fun x a => congrArg (HMul.hMul (w x)) (h_contra j hjs x a))
· rintro ⟨j, hjs, k, hks, hzjk⟩
have := geom_mean_le_arith_mean_weighted s w z (fun i a => le_of_lt (hw i a)) hw' hz
by_contra! h
apply le_antisymm this at h
apply (geom_mean_eq_arith_mean_weighted_iff' s w z hw hw' hz).mp at h
simp only [h j hjs, h k hks, ne_eq, not_true_eq_false] at hzjk
end Real
namespace NNReal
/-- **AM-GM inequality**: The geometric mean is less than or equal to the arithmetic mean, weighted
version for `NNReal`-valued functions. -/
theorem geom_mean_le_arith_mean_weighted (w z : ι → ℝ≥0) (hw' : ∑ i ∈ s, w i = 1) :
| (∏ i ∈ s, z i ^ (w i : ℝ)) ≤ ∑ i ∈ s, w i * z i :=
mod_cast
Real.geom_mean_le_arith_mean_weighted _ _ _ (fun i _ => (w i).coe_nonneg)
(by assumption_mod_cast) fun i _ => (z i).coe_nonneg
/-- **AM-GM inequality**: The geometric mean is less than or equal to the arithmetic mean, weighted
version for two `NNReal` numbers. -/
theorem geom_mean_le_arith_mean2_weighted (w₁ w₂ p₁ p₂ : ℝ≥0) :
w₁ + w₂ = 1 → p₁ ^ (w₁ : ℝ) * p₂ ^ (w₂ : ℝ) ≤ w₁ * p₁ + w₂ * p₂ := by
simpa only [Fin.prod_univ_succ, Fin.sum_univ_succ, Finset.prod_empty, Finset.sum_empty,
Finset.univ_eq_empty, Fin.cons_succ, Fin.cons_zero, add_zero, mul_one] using
geom_mean_le_arith_mean_weighted univ ![w₁, w₂] ![p₁, p₂]
theorem geom_mean_le_arith_mean3_weighted (w₁ w₂ w₃ p₁ p₂ p₃ : ℝ≥0) :
w₁ + w₂ + w₃ = 1 →
p₁ ^ (w₁ : ℝ) * p₂ ^ (w₂ : ℝ) * p₃ ^ (w₃ : ℝ) ≤ w₁ * p₁ + w₂ * p₂ + w₃ * p₃ := by
simpa only [Fin.prod_univ_succ, Fin.sum_univ_succ, Finset.prod_empty, Finset.sum_empty,
Finset.univ_eq_empty, Fin.cons_succ, Fin.cons_zero, add_zero, mul_one, ← add_assoc,
mul_assoc] using geom_mean_le_arith_mean_weighted univ ![w₁, w₂, w₃] ![p₁, p₂, p₃]
| Mathlib/Analysis/MeanInequalities.lean | 278 | 296 |
/-
Copyright (c) 2022 Damiano Testa. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Damiano Testa, Yuyang Zhao
-/
import Mathlib.Algebra.Order.GroupWithZero.Unbundled.Basic
import Mathlib.Algebra.Order.GroupWithZero.Unbundled.Defs
import Mathlib.Tactic.Linter.DeprecatedModule
deprecated_module (since := "2025-04-13")
| Mathlib/Algebra/Order/GroupWithZero/Unbundled.lean | 423 | 424 | |
/-
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.Data.ENNReal.Operations
/-!
# Results about division in extended non-negative reals
This file establishes basic properties related to the inversion and division operations on `ℝ≥0∞`.
For instance, as a consequence of being a `DivInvOneMonoid`, `ℝ≥0∞` inherits a power operation
with integer exponent.
## Main results
A few order isomorphisms are worthy of mention:
- `OrderIso.invENNReal : ℝ≥0∞ ≃o ℝ≥0∞ᵒᵈ`: The map `x ↦ x⁻¹` as an order isomorphism to the dual.
- `orderIsoIicOneBirational : ℝ≥0∞ ≃o Iic (1 : ℝ≥0∞)`: The birational order isomorphism between
`ℝ≥0∞` and the unit interval `Set.Iic (1 : ℝ≥0∞)` given by `x ↦ (x⁻¹ + 1)⁻¹` with inverse
`x ↦ (x⁻¹ - 1)⁻¹`
- `orderIsoIicCoe (a : ℝ≥0) : Iic (a : ℝ≥0∞) ≃o Iic a`: Order isomorphism between an initial
interval in `ℝ≥0∞` and an initial interval in `ℝ≥0` given by the identity map.
- `orderIsoUnitIntervalBirational : ℝ≥0∞ ≃o Icc (0 : ℝ) 1`: An order isomorphism between
the extended nonnegative real numbers and the unit interval. This is `orderIsoIicOneBirational`
composed with the identity order isomorphism between `Iic (1 : ℝ≥0∞)` and `Icc (0 : ℝ) 1`.
-/
assert_not_exists Finset
open Set NNReal
namespace ENNReal
noncomputable section Inv
variable {a b c d : ℝ≥0∞} {r p q : ℝ≥0}
protected theorem div_eq_inv_mul : a / b = b⁻¹ * a := by rw [div_eq_mul_inv, mul_comm]
@[simp] theorem inv_zero : (0 : ℝ≥0∞)⁻¹ = ∞ :=
show sInf { b : ℝ≥0∞ | 1 ≤ 0 * b } = ∞ by simp
@[simp] theorem inv_top : ∞⁻¹ = 0 :=
bot_unique <| le_of_forall_gt_imp_ge_of_dense fun a (h : 0 < a) => sInf_le <| by
simp [*, h.ne', top_mul]
theorem coe_inv_le : (↑r⁻¹ : ℝ≥0∞) ≤ (↑r)⁻¹ :=
le_sInf fun b (hb : 1 ≤ ↑r * b) =>
coe_le_iff.2 <| by
rintro b rfl
apply NNReal.inv_le_of_le_mul
rwa [← coe_mul, ← coe_one, coe_le_coe] at hb
@[simp, norm_cast]
theorem coe_inv (hr : r ≠ 0) : (↑r⁻¹ : ℝ≥0∞) = (↑r)⁻¹ :=
coe_inv_le.antisymm <| sInf_le <| mem_setOf.2 <| by rw [← coe_mul, mul_inv_cancel₀ hr, coe_one]
@[norm_cast]
theorem coe_inv_two : ((2⁻¹ : ℝ≥0) : ℝ≥0∞) = 2⁻¹ := by rw [coe_inv _root_.two_ne_zero, coe_two]
@[simp, norm_cast]
theorem coe_div (hr : r ≠ 0) : (↑(p / r) : ℝ≥0∞) = p / r := by
rw [div_eq_mul_inv, div_eq_mul_inv, coe_mul, coe_inv hr]
lemma coe_div_le : ↑(p / r) ≤ (p / r : ℝ≥0∞) := by
simpa only [div_eq_mul_inv, coe_mul] using mul_le_mul_left' coe_inv_le _
theorem div_zero (h : a ≠ 0) : a / 0 = ∞ := by simp [div_eq_mul_inv, h]
instance : DivInvOneMonoid ℝ≥0∞ :=
{ inferInstanceAs (DivInvMonoid ℝ≥0∞) with
inv_one := by simpa only [coe_inv one_ne_zero, coe_one] using coe_inj.2 inv_one }
protected theorem inv_pow : ∀ {a : ℝ≥0∞} {n : ℕ}, (a ^ n)⁻¹ = a⁻¹ ^ n
| _, 0 => by simp only [pow_zero, inv_one]
| ⊤, n + 1 => by simp [top_pow]
| (a : ℝ≥0), n + 1 => by
rcases eq_or_ne a 0 with (rfl | ha)
· simp [top_pow]
· have := pow_ne_zero (n + 1) ha
norm_cast
rw [inv_pow]
protected theorem mul_inv_cancel (h0 : a ≠ 0) (ht : a ≠ ∞) : a * a⁻¹ = 1 := by
lift a to ℝ≥0 using ht
norm_cast at h0; norm_cast
exact mul_inv_cancel₀ h0
protected theorem inv_mul_cancel (h0 : a ≠ 0) (ht : a ≠ ∞) : a⁻¹ * a = 1 :=
mul_comm a a⁻¹ ▸ ENNReal.mul_inv_cancel h0 ht
/-- See `ENNReal.inv_mul_cancel_left` for a simpler version assuming `a ≠ 0`, `a ≠ ∞`. -/
protected lemma inv_mul_cancel_left' (ha₀ : a = 0 → b = 0) (ha : a = ∞ → b = 0) :
a⁻¹ * (a * b) = b := by
obtain rfl | ha₀ := eq_or_ne a 0
· simp_all
obtain rfl | ha := eq_or_ne a ⊤
· simp_all
· simp [← mul_assoc, ENNReal.inv_mul_cancel, *]
/-- See `ENNReal.inv_mul_cancel_left'` for a stronger version. -/
protected lemma inv_mul_cancel_left (ha₀ : a ≠ 0) (ha : a ≠ ∞) : a⁻¹ * (a * b) = b :=
ENNReal.inv_mul_cancel_left' (by simp [ha₀]) (by simp [ha])
/-- See `ENNReal.mul_inv_cancel_left` for a simpler version assuming `a ≠ 0`, `a ≠ ∞`. -/
protected lemma mul_inv_cancel_left' (ha₀ : a = 0 → b = 0) (ha : a = ∞ → b = 0) :
a * (a⁻¹ * b) = b := by
obtain rfl | ha₀ := eq_or_ne a 0
· simp_all
obtain rfl | ha := eq_or_ne a ⊤
· simp_all
· simp [← mul_assoc, ENNReal.mul_inv_cancel, *]
/-- See `ENNReal.mul_inv_cancel_left'` for a stronger version. -/
protected lemma mul_inv_cancel_left (ha₀ : a ≠ 0) (ha : a ≠ ∞) : a * (a⁻¹ * b) = b :=
ENNReal.mul_inv_cancel_left' (by simp [ha₀]) (by simp [ha])
/-- See `ENNReal.mul_inv_cancel_right` for a simpler version assuming `b ≠ 0`, `b ≠ ∞`. -/
protected lemma mul_inv_cancel_right' (hb₀ : b = 0 → a = 0) (hb : b = ∞ → a = 0) :
a * b * b⁻¹ = a := by
obtain rfl | hb₀ := eq_or_ne b 0
· simp_all
obtain rfl | hb := eq_or_ne b ⊤
· simp_all
· simp [mul_assoc, ENNReal.mul_inv_cancel, *]
/-- See `ENNReal.mul_inv_cancel_right'` for a stronger version. -/
protected lemma mul_inv_cancel_right (hb₀ : b ≠ 0) (hb : b ≠ ∞) : a * b * b⁻¹ = a :=
ENNReal.mul_inv_cancel_right' (by simp [hb₀]) (by simp [hb])
/-- See `ENNReal.inv_mul_cancel_right` for a simpler version assuming `b ≠ 0`, `b ≠ ∞`. -/
protected lemma inv_mul_cancel_right' (hb₀ : b = 0 → a = 0) (hb : b = ∞ → a = 0) :
a * b⁻¹ * b = a := by
obtain rfl | hb₀ := eq_or_ne b 0
· simp_all
obtain rfl | hb := eq_or_ne b ⊤
· simp_all
· simp [mul_assoc, ENNReal.inv_mul_cancel, *]
/-- See `ENNReal.inv_mul_cancel_right'` for a stronger version. -/
protected lemma inv_mul_cancel_right (hb₀ : b ≠ 0) (hb : b ≠ ∞) : a * b⁻¹ * b = a :=
ENNReal.inv_mul_cancel_right' (by simp [hb₀]) (by simp [hb])
/-- See `ENNReal.mul_div_cancel_right` for a simpler version assuming `b ≠ 0`, `b ≠ ∞`. -/
protected lemma mul_div_cancel_right' (hb₀ : b = 0 → a = 0) (hb : b = ∞ → a = 0) :
a * b / b = a := ENNReal.mul_inv_cancel_right' hb₀ hb
/-- See `ENNReal.mul_div_cancel_right'` for a stronger version. -/
protected lemma mul_div_cancel_right (hb₀ : b ≠ 0) (hb : b ≠ ∞) : a * b / b = a :=
ENNReal.mul_div_cancel_right' (by simp [hb₀]) (by simp [hb])
/-- See `ENNReal.div_mul_cancel` for a simpler version assuming `a ≠ 0`, `a ≠ ∞`. -/
protected lemma div_mul_cancel' (ha₀ : a = 0 → b = 0) (ha : a = ∞ → b = 0) : b / a * a = b :=
ENNReal.inv_mul_cancel_right' ha₀ ha
/-- See `ENNReal.div_mul_cancel'` for a stronger version. -/
protected lemma div_mul_cancel (ha₀ : a ≠ 0) (ha : a ≠ ∞) : b / a * a = b :=
ENNReal.div_mul_cancel' (by simp [ha₀]) (by simp [ha])
/-- See `ENNReal.mul_div_cancel` for a simpler version assuming `a ≠ 0`, `a ≠ ∞`. -/
protected lemma mul_div_cancel' (ha₀ : a = 0 → b = 0) (ha : a = ∞ → b = 0) : a * (b / a) = b := by
rw [mul_comm, ENNReal.div_mul_cancel' ha₀ ha]
/-- See `ENNReal.mul_div_cancel'` for a stronger version. -/
protected lemma mul_div_cancel (ha₀ : a ≠ 0) (ha : a ≠ ∞) : a * (b / a) = b :=
ENNReal.mul_div_cancel' (by simp [ha₀]) (by simp [ha])
protected theorem mul_comm_div : a / b * c = a * (c / b) := by
simp only [div_eq_mul_inv, mul_left_comm, mul_comm, mul_assoc]
protected theorem mul_div_right_comm : a * b / c = a / c * b := by
simp only [div_eq_mul_inv, mul_right_comm]
instance : InvolutiveInv ℝ≥0∞ where
inv_inv a := by
by_cases a = 0 <;> cases a <;> simp_all [none_eq_top, some_eq_coe, -coe_inv, (coe_inv _).symm]
@[simp] protected lemma inv_eq_one : a⁻¹ = 1 ↔ a = 1 := by rw [← inv_inj, inv_inv, inv_one]
@[simp] theorem inv_eq_top : a⁻¹ = ∞ ↔ a = 0 := inv_zero ▸ inv_inj
theorem inv_ne_top : a⁻¹ ≠ ∞ ↔ a ≠ 0 := by simp
@[aesop (rule_sets := [finiteness]) safe apply]
protected alias ⟨_, Finiteness.inv_ne_top⟩ := ENNReal.inv_ne_top
@[simp]
theorem inv_lt_top {x : ℝ≥0∞} : x⁻¹ < ∞ ↔ 0 < x := by
simp only [lt_top_iff_ne_top, inv_ne_top, pos_iff_ne_zero]
theorem div_lt_top {x y : ℝ≥0∞} (h1 : x ≠ ∞) (h2 : y ≠ 0) : x / y < ∞ :=
mul_lt_top h1.lt_top (inv_ne_top.mpr h2).lt_top
@[simp]
protected theorem inv_eq_zero : a⁻¹ = 0 ↔ a = ∞ :=
inv_top ▸ inv_inj
protected theorem inv_ne_zero : a⁻¹ ≠ 0 ↔ a ≠ ∞ := by simp
protected theorem div_pos (ha : a ≠ 0) (hb : b ≠ ∞) : 0 < a / b :=
ENNReal.mul_pos ha <| ENNReal.inv_ne_zero.2 hb
protected theorem inv_mul_le_iff {x y z : ℝ≥0∞} (h1 : x ≠ 0) (h2 : x ≠ ∞) :
x⁻¹ * y ≤ z ↔ y ≤ x * z := by
rw [← mul_le_mul_left h1 h2, ← mul_assoc, ENNReal.mul_inv_cancel h1 h2, one_mul]
protected theorem mul_inv_le_iff {x y z : ℝ≥0∞} (h1 : y ≠ 0) (h2 : y ≠ ∞) :
x * y⁻¹ ≤ z ↔ x ≤ z * y := by
rw [mul_comm, ENNReal.inv_mul_le_iff h1 h2, mul_comm]
protected theorem div_le_iff {x y z : ℝ≥0∞} (h1 : y ≠ 0) (h2 : y ≠ ∞) :
x / y ≤ z ↔ x ≤ z * y := by
rw [div_eq_mul_inv, ENNReal.mul_inv_le_iff h1 h2]
protected theorem div_le_iff' {x y z : ℝ≥0∞} (h1 : y ≠ 0) (h2 : y ≠ ∞) :
x / y ≤ z ↔ x ≤ y * z := by
rw [mul_comm, ENNReal.div_le_iff h1 h2]
protected theorem mul_inv {a b : ℝ≥0∞} (ha : a ≠ 0 ∨ b ≠ ∞) (hb : a ≠ ∞ ∨ b ≠ 0) :
(a * b)⁻¹ = a⁻¹ * b⁻¹ := by
induction' b with b
· replace ha : a ≠ 0 := ha.neg_resolve_right rfl
simp [ha]
induction' a with a
· replace hb : b ≠ 0 := coe_ne_zero.1 (hb.neg_resolve_left rfl)
simp [hb]
by_cases h'a : a = 0
| · simp only [h'a, top_mul, ENNReal.inv_zero, ENNReal.coe_ne_top, zero_mul, Ne,
not_false_iff, ENNReal.coe_zero, ENNReal.inv_eq_zero]
| Mathlib/Data/ENNReal/Inv.lean | 233 | 234 |
/-
Copyright (c) 2022 Yaël Dillies. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yaël Dillies, Christopher Hoskin
-/
import Mathlib.Algebra.Algebra.Defs
import Mathlib.Algebra.Group.Action.Pi
import Mathlib.Algebra.Module.Hom
import Mathlib.GroupTheory.GroupAction.Ring
import Mathlib.RingTheory.NonUnitalSubsemiring.Basic
import Mathlib.Algebra.Ring.Subsemiring.Basic
/-!
# Centroid homomorphisms
Let `A` be a (non unital, non associative) algebra. The centroid of `A` is the set of linear maps
`T` on `A` such that `T` commutes with left and right multiplication, that is to say, for all `a`
and `b` in `A`,
$$
T(ab) = (Ta)b, T(ab) = a(Tb).
$$
In mathlib we call elements of the centroid "centroid homomorphisms" (`CentroidHom`) in keeping
with `AddMonoidHom` etc.
We use the `DFunLike` design, so each type of morphisms has a companion typeclass which is meant to
be satisfied by itself and all stricter types.
## Types of morphisms
* `CentroidHom`: Maps which preserve left and right multiplication.
## Typeclasses
* `CentroidHomClass`
## References
* [Jacobson, Structure of Rings][Jacobson1956]
* [McCrimmon, A taste of Jordan algebras][mccrimmon2004]
## Tags
centroid
-/
assert_not_exists Field
open Function
variable {F M N R α : Type*}
/-- The type of centroid homomorphisms from `α` to `α`. -/
structure CentroidHom (α : Type*) [NonUnitalNonAssocSemiring α] extends α →+ α where
/-- Commutativity of centroid homomorphims with left multiplication. -/
map_mul_left' (a b : α) : toFun (a * b) = a * toFun b
/-- Commutativity of centroid homomorphims with right multiplication. -/
map_mul_right' (a b : α) : toFun (a * b) = toFun a * b
attribute [nolint docBlame] CentroidHom.toAddMonoidHom
/-- `CentroidHomClass F α` states that `F` is a type of centroid homomorphisms.
You should extend this class when you extend `CentroidHom`. -/
class CentroidHomClass (F : Type*) (α : outParam Type*)
[NonUnitalNonAssocSemiring α] [FunLike F α α] : Prop extends AddMonoidHomClass F α α where
/-- Commutativity of centroid homomorphims with left multiplication. -/
map_mul_left (f : F) (a b : α) : f (a * b) = a * f b
/-- Commutativity of centroid homomorphims with right multiplication. -/
map_mul_right (f : F) (a b : α) : f (a * b) = f a * b
export CentroidHomClass (map_mul_left map_mul_right)
instance [NonUnitalNonAssocSemiring α] [FunLike F α α] [CentroidHomClass F α] :
CoeTC F (CentroidHom α) :=
⟨fun f ↦
{ (f : α →+ α) with
toFun := f
map_mul_left' := map_mul_left f
map_mul_right' := map_mul_right f }⟩
/-! ### Centroid homomorphisms -/
namespace CentroidHom
section NonUnitalNonAssocSemiring
variable [NonUnitalNonAssocSemiring α]
instance : FunLike (CentroidHom α) α α where
coe f := f.toFun
coe_injective' f g h := by
cases f
cases g
congr with x
exact congrFun h x
instance : CentroidHomClass (CentroidHom α) α where
map_zero f := f.map_zero'
map_add f := f.map_add'
map_mul_left f := f.map_mul_left'
map_mul_right f := f.map_mul_right'
theorem toFun_eq_coe {f : CentroidHom α} : f.toFun = f := rfl
@[ext]
theorem ext {f g : CentroidHom α} (h : ∀ a, f a = g a) : f = g :=
DFunLike.ext f g h
@[simp, norm_cast]
theorem coe_toAddMonoidHom (f : CentroidHom α) : ⇑(f : α →+ α) = f :=
rfl
@[simp]
theorem toAddMonoidHom_eq_coe (f : CentroidHom α) : f.toAddMonoidHom = f :=
rfl
theorem coe_toAddMonoidHom_injective : Injective ((↑) : CentroidHom α → α →+ α) :=
fun _f _g h => ext fun a ↦
haveI := DFunLike.congr_fun h a
this
/-- Turn a centroid homomorphism into an additive monoid endomorphism. -/
def toEnd (f : CentroidHom α) : AddMonoid.End α :=
(f : α →+ α)
theorem toEnd_injective : Injective (CentroidHom.toEnd : CentroidHom α → AddMonoid.End α) :=
coe_toAddMonoidHom_injective
/-- Copy of a `CentroidHom` with a new `toFun` equal to the old one. Useful to fix
definitional equalities. -/
protected def copy (f : CentroidHom α) (f' : α → α) (h : f' = f) : CentroidHom α :=
{ f.toAddMonoidHom.copy f' <| h with
toFun := f'
map_mul_left' := fun a b ↦ by simp_rw [h, map_mul_left]
map_mul_right' := fun a b ↦ by simp_rw [h, map_mul_right] }
@[simp]
theorem coe_copy (f : CentroidHom α) (f' : α → α) (h : f' = f) : ⇑(f.copy f' h) = f' :=
rfl
theorem copy_eq (f : CentroidHom α) (f' : α → α) (h : f' = f) : f.copy f' h = f :=
DFunLike.ext' h
variable (α)
/-- `id` as a `CentroidHom`. -/
protected def id : CentroidHom α :=
{ AddMonoidHom.id α with
map_mul_left' := fun _ _ ↦ rfl
map_mul_right' := fun _ _ ↦ rfl }
instance : Inhabited (CentroidHom α) :=
⟨CentroidHom.id α⟩
@[simp, norm_cast]
theorem coe_id : ⇑(CentroidHom.id α) = id :=
rfl
@[simp, norm_cast]
theorem toAddMonoidHom_id : (CentroidHom.id α : α →+ α) = AddMonoidHom.id α :=
rfl
variable {α}
@[simp]
theorem id_apply (a : α) : CentroidHom.id α a = a :=
rfl
/-- Composition of `CentroidHom`s as a `CentroidHom`. -/
def comp (g f : CentroidHom α) : CentroidHom α :=
{ g.toAddMonoidHom.comp f.toAddMonoidHom with
map_mul_left' := fun _a _b ↦ (congr_arg g <| f.map_mul_left' _ _).trans <| g.map_mul_left' _ _
map_mul_right' := fun _a _b ↦
(congr_arg g <| f.map_mul_right' _ _).trans <| g.map_mul_right' _ _ }
@[simp, norm_cast]
theorem coe_comp (g f : CentroidHom α) : ⇑(g.comp f) = g ∘ f :=
rfl
@[simp]
theorem comp_apply (g f : CentroidHom α) (a : α) : g.comp f a = g (f a) :=
rfl
@[simp, norm_cast]
theorem coe_comp_addMonoidHom (g f : CentroidHom α) : (g.comp f : α →+ α) = (g : α →+ α).comp f :=
rfl
@[simp]
theorem comp_assoc (h g f : CentroidHom α) : (h.comp g).comp f = h.comp (g.comp f) :=
rfl
@[simp]
theorem comp_id (f : CentroidHom α) : f.comp (CentroidHom.id α) = f :=
rfl
@[simp]
theorem id_comp (f : CentroidHom α) : (CentroidHom.id α).comp f = f :=
rfl
@[simp]
theorem cancel_right {g₁ g₂ f : CentroidHom α} (hf : Surjective f) :
g₁.comp f = g₂.comp f ↔ g₁ = g₂ :=
⟨fun h ↦ ext <| hf.forall.2 <| DFunLike.ext_iff.1 h, fun a ↦ congrFun (congrArg comp a) f⟩
@[simp]
theorem cancel_left {g f₁ f₂ : CentroidHom α} (hg : Injective g) :
g.comp f₁ = g.comp f₂ ↔ f₁ = f₂ :=
⟨fun h ↦ ext fun a ↦ hg <| by rw [← comp_apply, h, comp_apply], congr_arg _⟩
instance : Zero (CentroidHom α) :=
⟨{ (0 : α →+ α) with
map_mul_left' := fun _a _b ↦ (mul_zero _).symm
map_mul_right' := fun _a _b ↦ (zero_mul _).symm }⟩
instance : One (CentroidHom α) :=
⟨CentroidHom.id α⟩
instance : Add (CentroidHom α) :=
⟨fun f g ↦
{ (f + g : α →+ α) with
map_mul_left' := fun a b ↦ by
show f (a * b) + g (a * b) = a * (f b + g b)
simp [map_mul_left, mul_add]
map_mul_right' := fun a b ↦ by
show f (a * b) + g (a * b) = (f a + g a) * b
simp [map_mul_right, add_mul] }⟩
instance : Mul (CentroidHom α) :=
⟨comp⟩
variable [Monoid M] [Monoid N] [Semiring R]
variable [DistribMulAction M α] [SMulCommClass M α α] [IsScalarTower M α α]
variable [DistribMulAction N α] [SMulCommClass N α α] [IsScalarTower N α α]
variable [Module R α] [SMulCommClass R α α] [IsScalarTower R α α]
instance instSMul : SMul M (CentroidHom α) where
smul n f :=
{ (n • f : α →+ α) with
map_mul_left' := fun a b ↦ by
change n • f (a * b) = a * n • f b
rw [map_mul_left f, ← mul_smul_comm]
map_mul_right' := fun a b ↦ by
change n • f (a * b) = n • f a * b
rw [map_mul_right f, ← smul_mul_assoc] }
instance [SMul M N] [IsScalarTower M N α] : IsScalarTower M N (CentroidHom α) where
smul_assoc _ _ _ := ext fun _ => smul_assoc _ _ _
instance [SMulCommClass M N α] : SMulCommClass M N (CentroidHom α) where
smul_comm _ _ _ := ext fun _ => smul_comm _ _ _
instance [DistribMulAction Mᵐᵒᵖ α] [IsCentralScalar M α] : IsCentralScalar M (CentroidHom α) where
op_smul_eq_smul _ _ := ext fun _ => op_smul_eq_smul _ _
instance isScalarTowerRight : IsScalarTower M (CentroidHom α) (CentroidHom α) where
smul_assoc _ _ _ := rfl
instance hasNPowNat : Pow (CentroidHom α) ℕ :=
⟨fun f n ↦
{ toAddMonoidHom := (f.toEnd ^ n : AddMonoid.End α)
map_mul_left' := fun a b ↦ by
induction n with
| zero => rfl
| succ n ih =>
rw [pow_succ']
exact (congr_arg f.toEnd ih).trans (f.map_mul_left' _ _)
map_mul_right' := fun a b ↦ by
induction n with
| zero => rfl
| succ n ih =>
rw [pow_succ']
exact (congr_arg f.toEnd ih).trans (f.map_mul_right' _ _)}⟩
@[simp, norm_cast]
theorem coe_zero : ⇑(0 : CentroidHom α) = 0 :=
rfl
@[simp, norm_cast]
theorem coe_one : ⇑(1 : CentroidHom α) = id :=
rfl
@[simp, norm_cast]
theorem coe_add (f g : CentroidHom α) : ⇑(f + g) = f + g :=
rfl
@[simp, norm_cast]
theorem coe_mul (f g : CentroidHom α) : ⇑(f * g) = f ∘ g :=
rfl
@[simp, norm_cast]
theorem coe_smul (n : M) (f : CentroidHom α) : ⇑(n • f) = n • ⇑f :=
rfl
@[simp]
theorem zero_apply (a : α) : (0 : CentroidHom α) a = 0 :=
rfl
@[simp]
theorem one_apply (a : α) : (1 : CentroidHom α) a = a :=
rfl
@[simp]
theorem add_apply (f g : CentroidHom α) (a : α) : (f + g) a = f a + g a :=
rfl
@[simp]
theorem mul_apply (f g : CentroidHom α) (a : α) : (f * g) a = f (g a) :=
rfl
@[simp]
theorem smul_apply (n : M) (f : CentroidHom α) (a : α) : (n • f) a = n • f a :=
rfl
example : SMul ℕ (CentroidHom α) := instSMul
@[simp]
theorem toEnd_zero : (0 : CentroidHom α).toEnd = 0 :=
rfl
@[simp]
theorem toEnd_add (x y : CentroidHom α) : (x + y).toEnd = x.toEnd + y.toEnd :=
rfl
theorem toEnd_smul (m : M) (x : CentroidHom α) : (m • x).toEnd = m • x.toEnd :=
rfl
instance : AddCommMonoid (CentroidHom α) :=
coe_toAddMonoidHom_injective.addCommMonoid _ toEnd_zero toEnd_add (swap toEnd_smul)
instance : NatCast (CentroidHom α) where natCast n := n • (1 : CentroidHom α)
@[simp, norm_cast]
theorem coe_natCast (n : ℕ) : ⇑(n : CentroidHom α) = n • (CentroidHom.id α) :=
rfl
theorem natCast_apply (n : ℕ) (m : α) : (n : CentroidHom α) m = n • m :=
rfl
@[simp]
theorem toEnd_one : (1 : CentroidHom α).toEnd = 1 :=
rfl
@[simp]
theorem toEnd_mul (x y : CentroidHom α) : (x * y).toEnd = x.toEnd * y.toEnd :=
rfl
@[simp]
theorem toEnd_pow (x : CentroidHom α) (n : ℕ) : (x ^ n).toEnd = x.toEnd ^ n :=
rfl
@[simp, norm_cast]
theorem toEnd_natCast (n : ℕ) : (n : CentroidHom α).toEnd = ↑n :=
rfl
-- cf `add_monoid.End.semiring`
instance : Semiring (CentroidHom α) :=
toEnd_injective.semiring _ toEnd_zero toEnd_one toEnd_add toEnd_mul toEnd_smul toEnd_pow
toEnd_natCast
variable (α) in
/-- `CentroidHom.toEnd` as a `RingHom`. -/
@[simps]
def toEndRingHom : CentroidHom α →+* AddMonoid.End α where
toFun := toEnd
map_zero' := toEnd_zero
map_one' := toEnd_one
map_add' := toEnd_add
map_mul' := toEnd_mul
theorem comp_mul_comm (T S : CentroidHom α) (a b : α) : (T ∘ S) (a * b) = (S ∘ T) (a * b) := by
simp only [Function.comp_apply]
rw [map_mul_right, map_mul_left, ← map_mul_right, ← map_mul_left]
instance : DistribMulAction M (CentroidHom α) :=
toEnd_injective.distribMulAction (toEndRingHom α).toAddMonoidHom toEnd_smul
instance : Module R (CentroidHom α) :=
toEnd_injective.module R (toEndRingHom α).toAddMonoidHom toEnd_smul
/-!
The following instances show that `α` is a non-unital and non-associative algebra over
`CentroidHom α`.
-/
/-- The tautological action by `CentroidHom α` on `α`.
This generalizes `Function.End.applyMulAction`. -/
instance applyModule : Module (CentroidHom α) α where
smul T a := T a
add_smul _ _ _ := rfl
zero_smul _ := rfl
one_smul _ := rfl
mul_smul _ _ _ := rfl
smul_zero := map_zero
smul_add := map_add
@[simp]
lemma smul_def (T : CentroidHom α) (a : α) : T • a = T a := rfl
instance : SMulCommClass (CentroidHom α) α α where
smul_comm _ _ _ := map_mul_left _ _ _
instance : SMulCommClass α (CentroidHom α) α := SMulCommClass.symm _ _ _
instance : IsScalarTower (CentroidHom α) α α where
smul_assoc _ _ _ := (map_mul_right _ _ _).symm
/-!
Let `α` be an algebra over `R`, such that the canonical ring homomorphism of `R` into
`CentroidHom α` lies in the center of `CentroidHom α`. Then `CentroidHom α` is an algebra over `R`
-/
variable {R : Type*}
variable [CommSemiring R]
variable [Module R α] [SMulCommClass R α α] [IsScalarTower R α α]
/-- The natural ring homomorphism from `R` into `CentroidHom α`.
This is a stronger version of `Module.toAddMonoidEnd`. -/
@[simps! apply_toFun]
def _root_.Module.toCentroidHom : R →+* CentroidHom α := RingHom.smulOneHom
open Module in
/-- `CentroidHom α` as an algebra over `R`. -/
example (h : ∀ (r : R) (T : CentroidHom α), toCentroidHom r * T = T * toCentroidHom r) :
Algebra R (CentroidHom α) := toCentroidHom.toAlgebra' h
local notation "L" => AddMonoid.End.mulLeft
local notation "R" => AddMonoid.End.mulRight
lemma centroid_eq_centralizer_mulLeftRight :
RingHom.rangeS (toEndRingHom α) = Subsemiring.centralizer (Set.range L ∪ Set.range R) := by
ext T
refine ⟨?_, fun h ↦ ?_⟩
· rintro ⟨f, rfl⟩ S (⟨a, rfl⟩ | ⟨b, rfl⟩)
· exact AddMonoidHom.ext fun b ↦ (map_mul_left f a b).symm
· exact AddMonoidHom.ext fun a ↦ (map_mul_right f a b).symm
· rw [Subsemiring.mem_centralizer_iff] at h
refine ⟨⟨T, fun a b ↦ ?_, fun a b ↦ ?_⟩, rfl⟩
· exact congr($(h (L a) (.inl ⟨a, rfl⟩)) b).symm
· exact congr($(h (R b) (.inr ⟨b, rfl⟩)) a).symm
/-- The canonical homomorphism from the center into the center of the centroid -/
def centerToCentroidCenter :
NonUnitalSubsemiring.center α →ₙ+* Subsemiring.center (CentroidHom α) where
toFun z :=
{ L (z : α) with
val := ⟨L z, z.prop.left_comm, z.prop.left_assoc ⟩
property := by
rw [Subsemiring.mem_center_iff]
intros g
ext a
exact map_mul_left g (↑z) a }
map_zero' := by
simp only [ZeroMemClass.coe_zero, map_zero]
exact rfl
map_add' := fun _ _ => by
dsimp
simp only [map_add]
rfl
map_mul' z₁ z₂ := by ext a; exact (z₁.prop.left_assoc z₂ a).symm
instance : FunLike (Subsemiring.center (CentroidHom α)) α α where
coe f := f.val.toFun
coe_injective' f g h := by
cases f
cases g
congr with x
exact congrFun h x
lemma centerToCentroidCenter_apply (z : NonUnitalSubsemiring.center α) (a : α) :
(centerToCentroidCenter z) a = z * a := rfl
/-- The canonical homomorphism from the center into the centroid -/
def centerToCentroid : NonUnitalSubsemiring.center α →ₙ+* CentroidHom α :=
NonUnitalRingHom.comp
(SubsemiringClass.subtype (Subsemiring.center (CentroidHom α))).toNonUnitalRingHom
centerToCentroidCenter
lemma centerToCentroid_apply (z : NonUnitalSubsemiring.center α) (a : α) :
(centerToCentroid z) a = z * a := rfl
lemma _root_.NonUnitalNonAssocSemiring.mem_center_iff (a : α) :
a ∈ NonUnitalSubsemiring.center α ↔ R a = L a ∧ (L a) ∈ RingHom.rangeS (toEndRingHom α) := by
constructor
· exact fun ha ↦ ⟨AddMonoidHom.ext <| fun _ => (IsMulCentral.comm ha _).symm,
⟨centerToCentroid ⟨a, ha⟩, rfl⟩⟩
· rintro ⟨hc, ⟨T, hT⟩⟩
have e1 (d : α) : T d = a * d := congr($hT d)
have e2 (d : α) : T d = d * a := congr($(hT.trans hc.symm) d)
constructor
case comm => exact (congr($hc.symm ·))
case left_assoc => simpa [e1] using (map_mul_right T · ·)
case mid_assoc => exact fun b c ↦ by simpa [e1 c, e2 b] using
(map_mul_right T b c).symm.trans <| map_mul_left T b c
case right_assoc => simpa [e2] using (map_mul_left T · ·)
end NonUnitalNonAssocSemiring
section NonUnitalNonAssocCommSemiring
variable [NonUnitalNonAssocCommSemiring α]
/-
Left and right multiplication coincide as α is commutative
-/
local notation "L" => AddMonoid.End.mulLeft
lemma _root_.NonUnitalNonAssocCommSemiring.mem_center_iff (a : α) :
a ∈ NonUnitalSubsemiring.center α ↔ ∀ b : α, Commute (L b) (L a) := by
rw [NonUnitalNonAssocSemiring.mem_center_iff, CentroidHom.centroid_eq_centralizer_mulLeftRight,
Subsemiring.mem_centralizer_iff, AddMonoid.End.mulRight_eq_mulLeft, Set.union_self]
aesop
end NonUnitalNonAssocCommSemiring
section NonAssocSemiring
variable [NonAssocSemiring α]
/-- The canonical isomorphism from the center of a (non-associative) semiring onto its centroid. -/
def centerIsoCentroid : Subsemiring.center α ≃+* CentroidHom α :=
{ centerToCentroid with
invFun := fun T ↦
⟨T 1, by refine ⟨?_, ?_, ?_, ?_⟩; all_goals simp [← map_mul_left, ← map_mul_right]⟩
left_inv := fun z ↦ Subtype.ext <| by simp only [MulHom.toFun_eq_coe,
NonUnitalRingHom.coe_toMulHom, centerToCentroid_apply, mul_one]
right_inv := fun T ↦ CentroidHom.ext <| fun _ => by rw [MulHom.toFun_eq_coe,
NonUnitalRingHom.coe_toMulHom, centerToCentroid_apply, ← map_mul_right, one_mul] }
end NonAssocSemiring
section NonUnitalNonAssocRing
variable [NonUnitalNonAssocRing α]
/-- Negation of `CentroidHom`s as a `CentroidHom`. -/
instance : Neg (CentroidHom α) :=
⟨fun f ↦
{ (-f : α →+ α) with
map_mul_left' := fun a b ↦ by
change -f (a * b) = a * (-f b)
simp [map_mul_left]
map_mul_right' := fun a b ↦ by
change -f (a * b) = (-f a) * b
simp [map_mul_right] }⟩
instance : Sub (CentroidHom α) :=
⟨fun f g ↦
{ (f - g : α →+ α) with
map_mul_left' := fun a b ↦ by
change (⇑f - ⇑g) (a * b) = a * (⇑f - ⇑g) b
simp [map_mul_left, mul_sub]
map_mul_right' := fun a b ↦ by
| change (⇑f - ⇑g) (a * b) = ((⇑f - ⇑g) a) * b
simp [map_mul_right, sub_mul] }⟩
instance : IntCast (CentroidHom α) where intCast z := z • (1 : CentroidHom α)
| Mathlib/Algebra/Ring/CentroidHom.lean | 556 | 560 |
/-
Copyright (c) 2022 Oliver Nash. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Oliver Nash
-/
import Mathlib.Analysis.Normed.Group.Quotient
import Mathlib.Analysis.NormedSpace.Pointwise
import Mathlib.Topology.Instances.AddCircle
/-!
# The additive circle as a normed group
We define the normed group structure on `AddCircle p`, for `p : ℝ`. For example if `p = 1` then:
`‖(x : AddCircle 1)‖ = |x - round x|` for any `x : ℝ` (see `UnitAddCircle.norm_eq`).
## Main definitions:
* `AddCircle.norm_eq`: a characterisation of the norm on `AddCircle p`
## TODO
* The fact `InnerProductGeometry.angle (Real.cos θ) (Real.sin θ) = ‖(θ : Real.Angle)‖`
-/
noncomputable section
open Metric QuotientAddGroup Set
open Int hiding mem_zmultiples_iff
open AddSubgroup
namespace AddCircle
variable (p : ℝ)
instance : NormedAddCommGroup (AddCircle p) := QuotientAddGroup.instNormedAddCommGroup _
@[simp]
theorem norm_coe_mul (x : ℝ) (t : ℝ) :
‖(↑(t * x) : AddCircle (t * p))‖ = |t| * ‖(x : AddCircle p)‖ := by
obtain rfl | ht := eq_or_ne t 0
· simp
simp only [norm_eq_infDist, Real.norm_eq_abs, ← Real.norm_eq_abs, ← infDist_smul₀ ht, smul_zero]
congr with m
simp only [zmultiples, eq_iff_sub_mem, zsmul_eq_mul, mem_mk, mem_setOf_eq,
mem_smul_set_iff_inv_smul_mem₀ ht, smul_eq_mul]
simp_rw [mul_left_comm, ← smul_eq_mul, Set.range_smul, mem_smul_set_iff_inv_smul_mem₀ ht]
simp [mul_sub, ht, -mem_range]
theorem norm_neg_period (x : ℝ) : ‖(x : AddCircle (-p))‖ = ‖(x : AddCircle p)‖ := by
suffices ‖(↑(-1 * x) : AddCircle (-1 * p))‖ = ‖(x : AddCircle p)‖ by
rw [← this, neg_one_mul]
simp
simp only [norm_coe_mul, abs_neg, abs_one, one_mul]
@[simp]
theorem norm_eq_of_zero {x : ℝ} : ‖(x : AddCircle (0 : ℝ))‖ = |x| := by
suffices { y : ℝ | (y : AddCircle (0 : ℝ)) = (x : AddCircle (0 : ℝ)) } = {x} by
simp [norm_eq_infDist, this]
ext y
simp [eq_iff_sub_mem, mem_zmultiples_iff, sub_eq_zero]
theorem norm_eq {x : ℝ} : ‖(x : AddCircle p)‖ = |x - round (p⁻¹ * x) * p| := by
suffices ∀ x : ℝ, ‖(x : AddCircle (1 : ℝ))‖ = |x - round x| by
rcases eq_or_ne p 0 with (rfl | hp)
· simp
have hx := norm_coe_mul p x p⁻¹
rw [abs_inv, eq_inv_mul_iff_mul_eq₀ ((not_congr abs_eq_zero).mpr hp)] at hx
rw [← hx, inv_mul_cancel₀ hp, this, ← abs_mul, mul_sub, mul_inv_cancel_left₀ hp, mul_comm p]
clear! x p
intros x
simp only [le_antisymm_iff, le_norm_iff, Real.norm_eq_abs]
refine ⟨le_of_forall_le fun r hr ↦ ?_, ?_⟩
· rw [abs_sub_round_eq_min, le_inf_iff]
rw [le_norm_iff] at hr
constructor
· simpa [abs_of_nonneg] using hr (fract x)
· simpa [abs_sub_comm (fract x)]
using hr (fract x - 1) (by simp [← self_sub_floor, ← sub_eq_zero, sub_sub]; simp)
· simpa [zmultiples, QuotientAddGroup.eq, zsmul_eq_mul, mul_one, mem_mk, mem_range, and_imp,
forall_exists_index, eq_neg_add_iff_add_eq, ← eq_sub_iff_add_eq, forall_swap (α := ℕ)]
using round_le _
theorem norm_eq' (hp : 0 < p) {x : ℝ} : ‖(x : AddCircle p)‖ = p * |p⁻¹ * x - round (p⁻¹ * x)| := by
conv_rhs =>
congr
rw [← abs_eq_self.mpr hp.le]
rw [← abs_mul, mul_sub, mul_inv_cancel_left₀ hp.ne.symm, norm_eq, mul_comm p]
theorem norm_le_half_period {x : AddCircle p} (hp : p ≠ 0) : ‖x‖ ≤ |p| / 2 := by
obtain ⟨x⟩ := x
change ‖(x : AddCircle p)‖ ≤ |p| / 2
rw [norm_eq, ← mul_le_mul_left (abs_pos.mpr (inv_ne_zero hp)), ← abs_mul, mul_sub, mul_left_comm,
← mul_div_assoc, ← abs_mul, inv_mul_cancel₀ hp, mul_one, abs_one]
exact abs_sub_round (p⁻¹ * x)
@[simp]
theorem norm_half_period_eq : ‖(↑(p / 2) : AddCircle p)‖ = |p| / 2 := by
rcases eq_or_ne p 0 with (rfl | hp); · simp
rw [norm_eq, ← mul_div_assoc, inv_mul_cancel₀ hp, one_div, round_two_inv, Int.cast_one,
one_mul, (by linarith : p / 2 - p = -(p / 2)), abs_neg, abs_div, abs_two]
theorem norm_coe_eq_abs_iff {x : ℝ} (hp : p ≠ 0) : ‖(x : AddCircle p)‖ = |x| ↔ |x| ≤ |p| / 2 := by
refine ⟨fun hx => hx ▸ norm_le_half_period p hp, fun hx => ?_⟩
suffices ∀ p : ℝ, 0 < p → |x| ≤ p / 2 → ‖(x : AddCircle p)‖ = |x| by
rcases hp.symm.lt_or_lt with (hp | hp)
· rw [abs_eq_self.mpr hp.le] at hx
exact this p hp hx
· rw [← norm_neg_period]
rw [abs_eq_neg_self.mpr hp.le] at hx
exact this (-p) (neg_pos.mpr hp) hx
clear hx
intro p hp hx
rcases eq_or_ne x (p / (2 : ℝ)) with (rfl | hx')
· simp [abs_div, abs_two]
suffices round (p⁻¹ * x) = 0 by simp [norm_eq, this]
rw [round_eq_zero_iff]
obtain ⟨hx₁, hx₂⟩ := abs_le.mp hx
replace hx₂ := Ne.lt_of_le hx' hx₂
constructor
· rwa [← mul_le_mul_left hp, ← mul_assoc, mul_inv_cancel₀ hp.ne.symm, one_mul, mul_neg, ←
mul_div_assoc, mul_one]
· rwa [← mul_lt_mul_left hp, ← mul_assoc, mul_inv_cancel₀ hp.ne.symm, one_mul, ← mul_div_assoc,
mul_one]
open Metric
theorem closedBall_eq_univ_of_half_period_le (hp : p ≠ 0) (x : AddCircle p) {ε : ℝ}
(hε : |p| / 2 ≤ ε) : closedBall x ε = univ :=
eq_univ_iff_forall.mpr fun x => by
simpa only [mem_closedBall, dist_eq_norm] using (norm_le_half_period p hp).trans hε
@[simp]
theorem coe_real_preimage_closedBall_period_zero (x ε : ℝ) :
(↑) ⁻¹' closedBall (x : AddCircle (0 : ℝ)) ε = closedBall x ε := by
ext y
simp [dist_eq_norm, ← QuotientAddGroup.mk_sub]
theorem coe_real_preimage_closedBall_eq_iUnion (x ε : ℝ) :
(↑) ⁻¹' closedBall (x : AddCircle p) ε = ⋃ z : ℤ, closedBall (x + z • p) ε := by
rcases eq_or_ne p 0 with (rfl | hp)
· simp [iUnion_const]
ext y
simp only [dist_eq_norm, mem_preimage, mem_closedBall, zsmul_eq_mul, mem_iUnion, Real.norm_eq_abs,
← QuotientAddGroup.mk_sub, norm_eq, ← sub_sub]
refine ⟨fun h => ⟨round (p⁻¹ * (y - x)), h⟩, ?_⟩
rintro ⟨n, hn⟩
rw [← mul_le_mul_left (abs_pos.mpr <| inv_ne_zero hp), ← abs_mul, mul_sub, mul_comm _ p,
inv_mul_cancel_left₀ hp] at hn ⊢
exact (round_le (p⁻¹ * (y - x)) n).trans hn
theorem coe_real_preimage_closedBall_inter_eq {x ε : ℝ} (s : Set ℝ)
(hs : s ⊆ closedBall x (|p| / 2)) :
(↑) ⁻¹' closedBall (x : AddCircle p) ε ∩ s = if ε < |p| / 2 then closedBall x ε ∩ s else s := by
rcases le_or_lt (|p| / 2) ε with hε | hε
· rcases eq_or_ne p 0 with (rfl | hp)
· simp only [abs_zero, zero_div] at hε
simp only [not_lt.mpr hε, coe_real_preimage_closedBall_period_zero, abs_zero, zero_div,
if_false, inter_eq_right]
exact hs.trans (closedBall_subset_closedBall <| by simp [hε])
simp [closedBall_eq_univ_of_half_period_le p hp (↑x) hε, not_lt.mpr hε]
· suffices ∀ z : ℤ, closedBall (x + z • p) ε ∩ s = if z = 0 then closedBall x ε ∩ s else ∅ by
simp [-zsmul_eq_mul, ← QuotientAddGroup.mk_zero, coe_real_preimage_closedBall_eq_iUnion,
iUnion_inter, iUnion_ite, this, hε]
intro z
simp only [Real.closedBall_eq_Icc, zero_sub, zero_add] at hs ⊢
rcases eq_or_ne z 0 with (rfl | hz)
· simp
simp only [hz, zsmul_eq_mul, if_false, eq_empty_iff_forall_not_mem]
rintro y ⟨⟨hy₁, hy₂⟩, hy₀⟩
obtain ⟨hy₃, hy₄⟩ := hs hy₀
rcases lt_trichotomy 0 p with (hp | (rfl : 0 = p) | hp)
· rcases Int.cast_le_neg_one_or_one_le_cast_of_ne_zero ℝ hz with hz' | hz'
· have : ↑z * p ≤ -p := by nlinarith
linarith [abs_eq_self.mpr hp.le]
· have : p ≤ ↑z * p := by nlinarith
linarith [abs_eq_self.mpr hp.le]
· simp only [mul_zero, add_zero, abs_zero, zero_div] at hy₁ hy₂ hε
linarith
· rcases Int.cast_le_neg_one_or_one_le_cast_of_ne_zero ℝ hz with hz' | hz'
· have : -p ≤ ↑z * p := by nlinarith
linarith [abs_eq_neg_self.mpr hp.le]
· have : ↑z * p ≤ p := by nlinarith
linarith [abs_eq_neg_self.mpr hp.le]
section FiniteOrderPoints
variable {p} [hp : Fact (0 < p)]
theorem norm_div_natCast {m n : ℕ} :
‖(↑(↑m / ↑n * p) : AddCircle p)‖ = p * (↑(min (m % n) (n - m % n)) / n) := by
have : p⁻¹ * (↑m / ↑n * p) = ↑m / ↑n := by rw [mul_comm _ p, inv_mul_cancel_left₀ hp.out.ne.symm]
rw [norm_eq' p hp.out, this, abs_sub_round_div_natCast_eq]
| theorem exists_norm_eq_of_isOfFinAddOrder {u : AddCircle p} (hu : IsOfFinAddOrder u) :
∃ k : ℕ, ‖u‖ = p * (k / addOrderOf u) := by
let n := addOrderOf u
change ∃ k : ℕ, ‖u‖ = p * (k / n)
obtain ⟨m, -, -, hm⟩ := exists_gcd_eq_one_of_isOfFinAddOrder hu
refine ⟨min (m % n) (n - m % n), ?_⟩
rw [← hm, norm_div_natCast]
theorem le_add_order_smul_norm_of_isOfFinAddOrder {u : AddCircle p} (hu : IsOfFinAddOrder u)
(hu' : u ≠ 0) : p ≤ addOrderOf u • ‖u‖ := by
obtain ⟨n, hn⟩ := exists_norm_eq_of_isOfFinAddOrder hu
replace hu : (addOrderOf u : ℝ) ≠ 0 := by
norm_cast
exact (addOrderOf_pos_iff.mpr hu).ne'
conv_lhs => rw [← mul_one p]
rw [hn, nsmul_eq_mul, ← mul_assoc, mul_comm _ p, mul_assoc, mul_div_cancel₀ _ hu,
mul_le_mul_left hp.out, Nat.one_le_cast, Nat.one_le_iff_ne_zero]
contrapose! hu'
simpa only [hu', Nat.cast_zero, zero_div, mul_zero, norm_eq_zero] using hn
end FiniteOrderPoints
end AddCircle
namespace UnitAddCircle
theorem norm_eq {x : ℝ} : ‖(x : UnitAddCircle)‖ = |x - round x| := by simp [AddCircle.norm_eq]
end UnitAddCircle
| Mathlib/Analysis/Normed/Group/AddCircle.lean | 198 | 234 |
/-
Copyright (c) 2017 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro, Floris van Doorn, Violeta Hernández Palacios
-/
import Mathlib.SetTheory.Cardinal.Arithmetic
import Mathlib.SetTheory.Ordinal.FixedPoint
/-!
# Cofinality
This file contains the definition of cofinality of an order and an ordinal number.
## Main Definitions
* `Order.cof r` is the cofinality of a reflexive order. This is the smallest cardinality of a subset
`s` that is *cofinal*, i.e. `∀ x, ∃ y ∈ s, r x y`.
* `Ordinal.cof o` is the cofinality of the ordinal `o` when viewed as a linear order.
## Main Statements
* `Cardinal.lt_power_cof`: A consequence of König's theorem stating that `c < c ^ c.ord.cof` for
`c ≥ ℵ₀`.
## Implementation Notes
* The cofinality is defined for ordinals.
If `c` is a cardinal number, its cofinality is `c.ord.cof`.
-/
noncomputable section
open Function Cardinal Set Order
open scoped Ordinal
universe u v w
variable {α : Type u} {β : Type v} {r : α → α → Prop} {s : β → β → Prop}
/-! ### Cofinality of orders -/
attribute [local instance] IsRefl.swap
namespace Order
/-- Cofinality of a reflexive order `≼`. This is the smallest cardinality
of a subset `S : Set α` such that `∀ a, ∃ b ∈ S, a ≼ b`. -/
def cof (r : α → α → Prop) : Cardinal :=
sInf { c | ∃ S : Set α, (∀ a, ∃ b ∈ S, r a b) ∧ #S = c }
/-- The set in the definition of `Order.cof` is nonempty. -/
private theorem cof_nonempty (r : α → α → Prop) [IsRefl α r] :
{ c | ∃ S : Set α, (∀ a, ∃ b ∈ S, r a b) ∧ #S = c }.Nonempty :=
⟨_, Set.univ, fun a => ⟨a, ⟨⟩, refl _⟩, rfl⟩
theorem cof_le (r : α → α → Prop) {S : Set α} (h : ∀ a, ∃ b ∈ S, r a b) : cof r ≤ #S :=
csInf_le' ⟨S, h, rfl⟩
theorem le_cof [IsRefl α r] (c : Cardinal) :
c ≤ cof r ↔ ∀ {S : Set α}, (∀ a, ∃ b ∈ S, r a b) → c ≤ #S := by
rw [cof, le_csInf_iff'' (cof_nonempty r)]
use fun H S h => H _ ⟨S, h, rfl⟩
rintro H d ⟨S, h, rfl⟩
exact H h
end Order
namespace RelIso
private theorem cof_le_lift [IsRefl β s] (f : r ≃r s) :
Cardinal.lift.{v} (Order.cof r) ≤ Cardinal.lift.{u} (Order.cof s) := by
rw [Order.cof, Order.cof, lift_sInf, lift_sInf, le_csInf_iff'' ((Order.cof_nonempty s).image _)]
rintro - ⟨-, ⟨u, H, rfl⟩, rfl⟩
apply csInf_le'
refine ⟨_, ⟨f.symm '' u, fun a => ?_, rfl⟩, lift_mk_eq'.2 ⟨(f.symm.toEquiv.image u).symm⟩⟩
rcases H (f a) with ⟨b, hb, hb'⟩
refine ⟨f.symm b, mem_image_of_mem _ hb, f.map_rel_iff.1 ?_⟩
rwa [RelIso.apply_symm_apply]
theorem cof_eq_lift [IsRefl β s] (f : r ≃r s) :
Cardinal.lift.{v} (Order.cof r) = Cardinal.lift.{u} (Order.cof s) :=
have := f.toRelEmbedding.isRefl
(f.cof_le_lift).antisymm (f.symm.cof_le_lift)
theorem cof_eq {α β : Type u} {r : α → α → Prop} {s} [IsRefl β s] (f : r ≃r s) :
Order.cof r = Order.cof s :=
lift_inj.1 (f.cof_eq_lift)
end RelIso
/-! ### Cofinality of ordinals -/
namespace Ordinal
/-- Cofinality of an ordinal. This is the smallest cardinal of a subset `S` of the ordinal which is
unbounded, in the sense `∀ a, ∃ b ∈ S, a ≤ b`.
In particular, `cof 0 = 0` and `cof (succ o) = 1`. -/
def cof (o : Ordinal.{u}) : Cardinal.{u} :=
o.liftOn (fun a ↦ Order.cof (swap a.rᶜ)) fun _ _ ⟨f⟩ ↦ f.compl.swap.cof_eq
theorem cof_type (r : α → α → Prop) [IsWellOrder α r] : (type r).cof = Order.cof (swap rᶜ) :=
rfl
theorem cof_type_lt [LinearOrder α] [IsWellOrder α (· < ·)] :
(@type α (· < ·) _).cof = @Order.cof α (· ≤ ·) := by
rw [cof_type, compl_lt, swap_ge]
theorem cof_eq_cof_toType (o : Ordinal) : o.cof = @Order.cof o.toType (· ≤ ·) := by
conv_lhs => rw [← type_toType o, cof_type_lt]
theorem le_cof_type [IsWellOrder α r] {c} : c ≤ cof (type r) ↔ ∀ S, Unbounded r S → c ≤ #S :=
(le_csInf_iff'' (Order.cof_nonempty _)).trans
⟨fun H S h => H _ ⟨S, h, rfl⟩, by
rintro H d ⟨S, h, rfl⟩
exact H _ h⟩
theorem cof_type_le [IsWellOrder α r] {S : Set α} (h : Unbounded r S) : cof (type r) ≤ #S :=
le_cof_type.1 le_rfl S h
theorem lt_cof_type [IsWellOrder α r] {S : Set α} : #S < cof (type r) → Bounded r S := by
simpa using not_imp_not.2 cof_type_le
theorem cof_eq (r : α → α → Prop) [IsWellOrder α r] : ∃ S, Unbounded r S ∧ #S = cof (type r) :=
csInf_mem (Order.cof_nonempty (swap rᶜ))
theorem ord_cof_eq (r : α → α → Prop) [IsWellOrder α r] :
∃ S, Unbounded r S ∧ type (Subrel r (· ∈ S)) = (cof (type r)).ord := by
let ⟨S, hS, e⟩ := cof_eq r
let ⟨s, _, e'⟩ := Cardinal.ord_eq S
let T : Set α := { a | ∃ aS : a ∈ S, ∀ b : S, s b ⟨_, aS⟩ → r b a }
suffices Unbounded r T by
refine ⟨T, this, le_antisymm ?_ (Cardinal.ord_le.2 <| cof_type_le this)⟩
rw [← e, e']
refine
(RelEmbedding.ofMonotone
(fun a : T =>
(⟨a,
let ⟨aS, _⟩ := a.2
aS⟩ :
S))
fun a b h => ?_).ordinal_type_le
rcases a with ⟨a, aS, ha⟩
rcases b with ⟨b, bS, hb⟩
change s ⟨a, _⟩ ⟨b, _⟩
refine ((trichotomous_of s _ _).resolve_left fun hn => ?_).resolve_left ?_
· exact asymm h (ha _ hn)
· intro e
injection e with e
subst b
exact irrefl _ h
intro a
have : { b : S | ¬r b a }.Nonempty :=
let ⟨b, bS, ba⟩ := hS a
⟨⟨b, bS⟩, ba⟩
let b := (IsWellFounded.wf : WellFounded s).min _ this
have ba : ¬r b a := IsWellFounded.wf.min_mem _ this
refine ⟨b, ⟨b.2, fun c => not_imp_not.1 fun h => ?_⟩, ba⟩
rw [show ∀ b : S, (⟨b, b.2⟩ : S) = b by intro b; cases b; rfl]
exact IsWellFounded.wf.not_lt_min _ this (IsOrderConnected.neg_trans h ba)
/-! ### Cofinality of suprema and least strict upper bounds -/
private theorem card_mem_cof {o} : ∃ (ι : _) (f : ι → Ordinal), lsub.{u, u} f = o ∧ #ι = o.card :=
⟨_, _, lsub_typein o, mk_toType o⟩
/-- The set in the `lsub` characterization of `cof` is nonempty. -/
theorem cof_lsub_def_nonempty (o) :
{ a : Cardinal | ∃ (ι : _) (f : ι → Ordinal), lsub.{u, u} f = o ∧ #ι = a }.Nonempty :=
⟨_, card_mem_cof⟩
theorem cof_eq_sInf_lsub (o : Ordinal.{u}) : cof o =
sInf { a : Cardinal | ∃ (ι : Type u) (f : ι → Ordinal), lsub.{u, u} f = o ∧ #ι = a } := by
refine le_antisymm (le_csInf (cof_lsub_def_nonempty o) ?_) (csInf_le' ?_)
· rintro a ⟨ι, f, hf, rfl⟩
rw [← type_toType o]
refine
(cof_type_le fun a => ?_).trans
(@mk_le_of_injective _ _
(fun s : typein ((· < ·) : o.toType → o.toType → Prop) ⁻¹' Set.range f =>
Classical.choose s.prop)
fun s t hst => by
let H := congr_arg f hst
rwa [Classical.choose_spec s.prop, Classical.choose_spec t.prop, typein_inj,
Subtype.coe_inj] at H)
have := typein_lt_self a
simp_rw [← hf, lt_lsub_iff] at this
obtain ⟨i, hi⟩ := this
refine ⟨enum (α := o.toType) (· < ·) ⟨f i, ?_⟩, ?_, ?_⟩
· rw [type_toType, ← hf]
apply lt_lsub
· rw [mem_preimage, typein_enum]
exact mem_range_self i
· rwa [← typein_le_typein, typein_enum]
· rcases cof_eq (α := o.toType) (· < ·) with ⟨S, hS, hS'⟩
let f : S → Ordinal := fun s => typein LT.lt s.val
refine ⟨S, f, le_antisymm (lsub_le fun i => typein_lt_self (o := o) i)
(le_of_forall_lt fun a ha => ?_), by rwa [type_toType o] at hS'⟩
rw [← type_toType o] at ha
rcases hS (enum (· < ·) ⟨a, ha⟩) with ⟨b, hb, hb'⟩
rw [← typein_le_typein, typein_enum] at hb'
exact hb'.trans_lt (lt_lsub.{u, u} f ⟨b, hb⟩)
@[simp]
theorem lift_cof (o) : Cardinal.lift.{u, v} (cof o) = cof (Ordinal.lift.{u, v} o) := by
refine inductionOn o fun α r _ ↦ ?_
rw [← type_uLift, cof_type, cof_type, ← Cardinal.lift_id'.{v, u} (Order.cof _),
← Cardinal.lift_umax]
apply RelIso.cof_eq_lift ⟨Equiv.ulift.symm, _⟩
simp [swap]
theorem cof_le_card (o) : cof o ≤ card o := by
rw [cof_eq_sInf_lsub]
exact csInf_le' card_mem_cof
theorem cof_ord_le (c : Cardinal) : c.ord.cof ≤ c := by simpa using cof_le_card c.ord
theorem ord_cof_le (o : Ordinal.{u}) : o.cof.ord ≤ o :=
(ord_le_ord.2 (cof_le_card o)).trans (ord_card_le o)
theorem exists_lsub_cof (o : Ordinal) :
∃ (ι : _) (f : ι → Ordinal), lsub.{u, u} f = o ∧ #ι = cof o := by
rw [cof_eq_sInf_lsub]
exact csInf_mem (cof_lsub_def_nonempty o)
theorem cof_lsub_le {ι} (f : ι → Ordinal) : cof (lsub.{u, u} f) ≤ #ι := by
rw [cof_eq_sInf_lsub]
exact csInf_le' ⟨ι, f, rfl, rfl⟩
theorem cof_lsub_le_lift {ι} (f : ι → Ordinal) :
cof (lsub.{u, v} f) ≤ Cardinal.lift.{v, u} #ι := by
rw [← mk_uLift.{u, v}]
convert cof_lsub_le.{max u v} fun i : ULift.{v, u} ι => f i.down
exact
lsub_eq_of_range_eq.{u, max u v, max u v}
(Set.ext fun x => ⟨fun ⟨i, hi⟩ => ⟨ULift.up.{v, u} i, hi⟩, fun ⟨i, hi⟩ => ⟨_, hi⟩⟩)
theorem le_cof_iff_lsub {o : Ordinal} {a : Cardinal} :
a ≤ cof o ↔ ∀ {ι} (f : ι → Ordinal), lsub.{u, u} f = o → a ≤ #ι := by
rw [cof_eq_sInf_lsub]
exact
(le_csInf_iff'' (cof_lsub_def_nonempty o)).trans
⟨fun H ι f hf => H _ ⟨ι, f, hf, rfl⟩, fun H b ⟨ι, f, hf, hb⟩ => by
rw [← hb]
exact H _ hf⟩
theorem lsub_lt_ord_lift {ι} {f : ι → Ordinal} {c : Ordinal}
(hι : Cardinal.lift.{v, u} #ι < c.cof)
(hf : ∀ i, f i < c) : lsub.{u, v} f < c :=
lt_of_le_of_ne (lsub_le hf) fun h => by
subst h
exact (cof_lsub_le_lift.{u, v} f).not_lt hι
theorem lsub_lt_ord {ι} {f : ι → Ordinal} {c : Ordinal} (hι : #ι < c.cof) :
(∀ i, f i < c) → lsub.{u, u} f < c :=
lsub_lt_ord_lift (by rwa [(#ι).lift_id])
theorem cof_iSup_le_lift {ι} {f : ι → Ordinal} (H : ∀ i, f i < iSup f) :
cof (iSup f) ≤ Cardinal.lift.{v, u} #ι := by
rw [← Ordinal.sup] at *
rw [← sup_eq_lsub_iff_lt_sup.{u, v}] at H
rw [H]
exact cof_lsub_le_lift f
theorem cof_iSup_le {ι} {f : ι → Ordinal} (H : ∀ i, f i < iSup f) :
cof (iSup f) ≤ #ι := by
rw [← (#ι).lift_id]
exact cof_iSup_le_lift H
theorem iSup_lt_ord_lift {ι} {f : ι → Ordinal} {c : Ordinal} (hι : Cardinal.lift.{v, u} #ι < c.cof)
(hf : ∀ i, f i < c) : iSup f < c :=
(sup_le_lsub.{u, v} f).trans_lt (lsub_lt_ord_lift hι hf)
theorem iSup_lt_ord {ι} {f : ι → Ordinal} {c : Ordinal} (hι : #ι < c.cof) :
(∀ i, f i < c) → iSup f < c :=
iSup_lt_ord_lift (by rwa [(#ι).lift_id])
theorem iSup_lt_lift {ι} {f : ι → Cardinal} {c : Cardinal}
(hι : Cardinal.lift.{v, u} #ι < c.ord.cof)
(hf : ∀ i, f i < c) : iSup f < c := by
rw [← ord_lt_ord, iSup_ord (Cardinal.bddAbove_range _)]
refine iSup_lt_ord_lift hι fun i => ?_
rw [ord_lt_ord]
apply hf
theorem iSup_lt {ι} {f : ι → Cardinal} {c : Cardinal} (hι : #ι < c.ord.cof) :
(∀ i, f i < c) → iSup f < c :=
iSup_lt_lift (by rwa [(#ι).lift_id])
theorem nfpFamily_lt_ord_lift {ι} {f : ι → Ordinal → Ordinal} {c} (hc : ℵ₀ < cof c)
(hc' : Cardinal.lift.{v, u} #ι < cof c) (hf : ∀ (i), ∀ b < c, f i b < c) {a} (ha : a < c) :
nfpFamily f a < c := by
refine iSup_lt_ord_lift ((Cardinal.lift_le.2 (mk_list_le_max ι)).trans_lt ?_) fun l => ?_
· rw [lift_max]
apply max_lt _ hc'
rwa [Cardinal.lift_aleph0]
· induction' l with i l H
· exact ha
· exact hf _ _ H
theorem nfpFamily_lt_ord {ι} {f : ι → Ordinal → Ordinal} {c} (hc : ℵ₀ < cof c) (hc' : #ι < cof c)
(hf : ∀ (i), ∀ b < c, f i b < c) {a} : a < c → nfpFamily.{u, u} f a < c :=
nfpFamily_lt_ord_lift hc (by rwa [(#ι).lift_id]) hf
theorem nfp_lt_ord {f : Ordinal → Ordinal} {c} (hc : ℵ₀ < cof c) (hf : ∀ i < c, f i < c) {a} :
a < c → nfp f a < c :=
nfpFamily_lt_ord_lift hc (by simpa using Cardinal.one_lt_aleph0.trans hc) fun _ => hf
theorem exists_blsub_cof (o : Ordinal) :
∃ f : ∀ a < (cof o).ord, Ordinal, blsub.{u, u} _ f = o := by
rcases exists_lsub_cof o with ⟨ι, f, hf, hι⟩
rcases Cardinal.ord_eq ι with ⟨r, hr, hι'⟩
rw [← @blsub_eq_lsub' ι r hr] at hf
rw [← hι, hι']
exact ⟨_, hf⟩
theorem le_cof_iff_blsub {b : Ordinal} {a : Cardinal} :
a ≤ cof b ↔ ∀ {o} (f : ∀ a < o, Ordinal), blsub.{u, u} o f = b → a ≤ o.card :=
le_cof_iff_lsub.trans
⟨fun H o f hf => by simpa using H _ hf, fun H ι f hf => by
rcases Cardinal.ord_eq ι with ⟨r, hr, hι'⟩
rw [← @blsub_eq_lsub' ι r hr] at hf
simpa using H _ hf⟩
theorem cof_blsub_le_lift {o} (f : ∀ a < o, Ordinal) :
cof (blsub.{u, v} o f) ≤ Cardinal.lift.{v, u} o.card := by
rw [← mk_toType o]
exact cof_lsub_le_lift _
theorem cof_blsub_le {o} (f : ∀ a < o, Ordinal) : cof (blsub.{u, u} o f) ≤ o.card := by
rw [← o.card.lift_id]
exact cof_blsub_le_lift f
theorem blsub_lt_ord_lift {o : Ordinal.{u}} {f : ∀ a < o, Ordinal} {c : Ordinal}
(ho : Cardinal.lift.{v, u} o.card < c.cof) (hf : ∀ i hi, f i hi < c) : blsub.{u, v} o f < c :=
lt_of_le_of_ne (blsub_le hf) fun h =>
ho.not_le (by simpa [← iSup_ord, hf, h] using cof_blsub_le_lift.{u, v} f)
theorem blsub_lt_ord {o : Ordinal} {f : ∀ a < o, Ordinal} {c : Ordinal} (ho : o.card < c.cof)
(hf : ∀ i hi, f i hi < c) : blsub.{u, u} o f < c :=
blsub_lt_ord_lift (by rwa [o.card.lift_id]) hf
theorem cof_bsup_le_lift {o : Ordinal} {f : ∀ a < o, Ordinal} (H : ∀ i h, f i h < bsup.{u, v} o f) :
cof (bsup.{u, v} o f) ≤ Cardinal.lift.{v, u} o.card := by
rw [← bsup_eq_blsub_iff_lt_bsup.{u, v}] at H
rw [H]
exact cof_blsub_le_lift.{u, v} f
theorem cof_bsup_le {o : Ordinal} {f : ∀ a < o, Ordinal} :
(∀ i h, f i h < bsup.{u, u} o f) → cof (bsup.{u, u} o f) ≤ o.card := by
rw [← o.card.lift_id]
exact cof_bsup_le_lift
theorem bsup_lt_ord_lift {o : Ordinal} {f : ∀ a < o, Ordinal} {c : Ordinal}
(ho : Cardinal.lift.{v, u} o.card < c.cof) (hf : ∀ i hi, f i hi < c) : bsup.{u, v} o f < c :=
(bsup_le_blsub f).trans_lt (blsub_lt_ord_lift ho hf)
theorem bsup_lt_ord {o : Ordinal} {f : ∀ a < o, Ordinal} {c : Ordinal} (ho : o.card < c.cof) :
(∀ i hi, f i hi < c) → bsup.{u, u} o f < c :=
bsup_lt_ord_lift (by rwa [o.card.lift_id])
/-! ### Basic results -/
@[simp]
theorem cof_zero : cof 0 = 0 := by
refine LE.le.antisymm ?_ (Cardinal.zero_le _)
rw [← card_zero]
exact cof_le_card 0
@[simp]
theorem cof_eq_zero {o} : cof o = 0 ↔ o = 0 :=
⟨inductionOn o fun _ r _ z =>
let ⟨_, hl, e⟩ := cof_eq r
type_eq_zero_iff_isEmpty.2 <|
⟨fun a =>
let ⟨_, h, _⟩ := hl a
(mk_eq_zero_iff.1 (e.trans z)).elim' ⟨_, h⟩⟩,
fun e => by simp [e]⟩
theorem cof_ne_zero {o} : cof o ≠ 0 ↔ o ≠ 0 :=
cof_eq_zero.not
@[simp]
theorem cof_succ (o) : cof (succ o) = 1 := by
apply le_antisymm
· refine inductionOn o fun α r _ => ?_
change cof (type _) ≤ _
rw [← (_ : #_ = 1)]
· apply cof_type_le
refine fun a => ⟨Sum.inr PUnit.unit, Set.mem_singleton _, ?_⟩
rcases a with (a | ⟨⟨⟨⟩⟩⟩) <;> simp [EmptyRelation]
· rw [Cardinal.mk_fintype, Set.card_singleton]
simp
· rw [← Cardinal.succ_zero, succ_le_iff]
simpa [lt_iff_le_and_ne, Cardinal.zero_le] using fun h =>
succ_ne_zero o (cof_eq_zero.1 (Eq.symm h))
@[simp]
theorem cof_eq_one_iff_is_succ {o} : cof.{u} o = 1 ↔ ∃ a, o = succ a :=
⟨inductionOn o fun α r _ z => by
rcases cof_eq r with ⟨S, hl, e⟩; rw [z] at e
obtain ⟨a⟩ := mk_ne_zero_iff.1 (by rw [e]; exact one_ne_zero)
refine
⟨typein r a,
Eq.symm <|
Quotient.sound
⟨RelIso.ofSurjective (RelEmbedding.ofMonotone ?_ fun x y => ?_) fun x => ?_⟩⟩
· apply Sum.rec <;> [exact Subtype.val; exact fun _ => a]
· rcases x with (x | ⟨⟨⟨⟩⟩⟩) <;> rcases y with (y | ⟨⟨⟨⟩⟩⟩) <;>
simp [Subrel, Order.Preimage, EmptyRelation]
exact x.2
· suffices r x a ∨ ∃ _ : PUnit.{u}, ↑a = x by
convert this
dsimp [RelEmbedding.ofMonotone]; simp
rcases trichotomous_of r x a with (h | h | h)
· exact Or.inl h
· exact Or.inr ⟨PUnit.unit, h.symm⟩
· rcases hl x with ⟨a', aS, hn⟩
refine absurd h ?_
convert hn
change (a : α) = ↑(⟨a', aS⟩ : S)
have := le_one_iff_subsingleton.1 (le_of_eq e)
congr!,
fun ⟨a, e⟩ => by simp [e]⟩
/-! ### Fundamental sequences -/
-- TODO: move stuff about fundamental sequences to their own file.
/-- A fundamental sequence for `a` is an increasing sequence of length `o = cof a` that converges at
`a`. We provide `o` explicitly in order to avoid type rewrites. -/
def IsFundamentalSequence (a o : Ordinal.{u}) (f : ∀ b < o, Ordinal.{u}) : Prop :=
o ≤ a.cof.ord ∧ (∀ {i j} (hi hj), i < j → f i hi < f j hj) ∧ blsub.{u, u} o f = a
namespace IsFundamentalSequence
variable {a o : Ordinal.{u}} {f : ∀ b < o, Ordinal.{u}}
protected theorem cof_eq (hf : IsFundamentalSequence a o f) : a.cof.ord = o :=
hf.1.antisymm' <| by
rw [← hf.2.2]
exact (ord_le_ord.2 (cof_blsub_le f)).trans (ord_card_le o)
protected theorem strict_mono (hf : IsFundamentalSequence a o f) {i j} :
∀ hi hj, i < j → f i hi < f j hj :=
hf.2.1
theorem blsub_eq (hf : IsFundamentalSequence a o f) : blsub.{u, u} o f = a :=
hf.2.2
theorem ord_cof (hf : IsFundamentalSequence a o f) :
IsFundamentalSequence a a.cof.ord fun i hi => f i (hi.trans_le (by rw [hf.cof_eq])) := by
have H := hf.cof_eq
subst H
exact hf
theorem id_of_le_cof (h : o ≤ o.cof.ord) : IsFundamentalSequence o o fun a _ => a :=
⟨h, @fun _ _ _ _ => id, blsub_id o⟩
protected theorem zero {f : ∀ b < (0 : Ordinal), Ordinal} : IsFundamentalSequence 0 0 f :=
⟨by rw [cof_zero, ord_zero], @fun i _ hi => (Ordinal.not_lt_zero i hi).elim, blsub_zero f⟩
protected theorem succ : IsFundamentalSequence (succ o) 1 fun _ _ => o := by
refine ⟨?_, @fun i j hi hj h => ?_, blsub_const Ordinal.one_ne_zero o⟩
· rw [cof_succ, ord_one]
· rw [lt_one_iff_zero] at hi hj
rw [hi, hj] at h
exact h.false.elim
protected theorem monotone (hf : IsFundamentalSequence a o f) {i j : Ordinal} (hi : i < o)
(hj : j < o) (hij : i ≤ j) : f i hi ≤ f j hj := by
rcases lt_or_eq_of_le hij with (hij | rfl)
· exact (hf.2.1 hi hj hij).le
· rfl
theorem trans {a o o' : Ordinal.{u}} {f : ∀ b < o, Ordinal.{u}} (hf : IsFundamentalSequence a o f)
{g : ∀ b < o', Ordinal.{u}} (hg : IsFundamentalSequence o o' g) :
IsFundamentalSequence a o' fun i hi =>
f (g i hi) (by rw [← hg.2.2]; apply lt_blsub) := by
refine ⟨?_, @fun i j _ _ h => hf.2.1 _ _ (hg.2.1 _ _ h), ?_⟩
· rw [hf.cof_eq]
exact hg.1.trans (ord_cof_le o)
· rw [@blsub_comp.{u, u, u} o _ f (@IsFundamentalSequence.monotone _ _ f hf)]
· exact hf.2.2
· exact hg.2.2
protected theorem lt {a o : Ordinal} {s : Π p < o, Ordinal}
(h : IsFundamentalSequence a o s) {p : Ordinal} (hp : p < o) : s p hp < a :=
h.blsub_eq ▸ lt_blsub s p hp
end IsFundamentalSequence
/-- Every ordinal has a fundamental sequence. -/
theorem exists_fundamental_sequence (a : Ordinal.{u}) :
∃ f, IsFundamentalSequence a a.cof.ord f := by
suffices h : ∃ o f, IsFundamentalSequence a o f by
rcases h with ⟨o, f, hf⟩
exact ⟨_, hf.ord_cof⟩
rcases exists_lsub_cof a with ⟨ι, f, hf, hι⟩
rcases ord_eq ι with ⟨r, wo, hr⟩
haveI := wo
let r' := Subrel r fun i ↦ ∀ j, r j i → f j < f i
let hrr' : r' ↪r r := Subrel.relEmbedding _ _
haveI := hrr'.isWellOrder
refine
⟨_, _, hrr'.ordinal_type_le.trans ?_, @fun i j _ h _ => (enum r' ⟨j, h⟩).prop _ ?_,
le_antisymm (blsub_le fun i hi => lsub_le_iff.1 hf.le _) ?_⟩
· rw [← hι, hr]
· change r (hrr'.1 _) (hrr'.1 _)
rwa [hrr'.2, @enum_lt_enum _ r']
· rw [← hf, lsub_le_iff]
intro i
suffices h : ∃ i' hi', f i ≤ bfamilyOfFamily' r' (fun i => f i) i' hi' by
rcases h with ⟨i', hi', hfg⟩
exact hfg.trans_lt (lt_blsub _ _ _)
by_cases h : ∀ j, r j i → f j < f i
· refine ⟨typein r' ⟨i, h⟩, typein_lt_type _ _, ?_⟩
rw [bfamilyOfFamily'_typein]
· push_neg at h
obtain ⟨hji, hij⟩ := wo.wf.min_mem _ h
refine ⟨typein r' ⟨_, fun k hkj => lt_of_lt_of_le ?_ hij⟩, typein_lt_type _ _, ?_⟩
· by_contra! H
exact (wo.wf.not_lt_min _ h ⟨IsTrans.trans _ _ _ hkj hji, H⟩) hkj
· rwa [bfamilyOfFamily'_typein]
@[simp]
theorem cof_cof (a : Ordinal.{u}) : cof (cof a).ord = cof a := by
obtain ⟨f, hf⟩ := exists_fundamental_sequence a
obtain ⟨g, hg⟩ := exists_fundamental_sequence a.cof.ord
exact ord_injective (hf.trans hg).cof_eq.symm
protected theorem IsNormal.isFundamentalSequence {f : Ordinal.{u} → Ordinal.{u}} (hf : IsNormal f)
{a o} (ha : IsLimit a) {g} (hg : IsFundamentalSequence a o g) :
IsFundamentalSequence (f a) o fun b hb => f (g b hb) := by
refine ⟨?_, @fun i j _ _ h => hf.strictMono (hg.2.1 _ _ h), ?_⟩
· rcases exists_lsub_cof (f a) with ⟨ι, f', hf', hι⟩
rw [← hg.cof_eq, ord_le_ord, ← hι]
suffices (lsub.{u, u} fun i => sInf { b : Ordinal | f' i ≤ f b }) = a by
rw [← this]
apply cof_lsub_le
have H : ∀ i, ∃ b < a, f' i ≤ f b := fun i => by
have := lt_lsub.{u, u} f' i
rw [hf', ← IsNormal.blsub_eq.{u, u} hf ha, lt_blsub_iff] at this
simpa using this
refine (lsub_le fun i => ?_).antisymm (le_of_forall_lt fun b hb => ?_)
· rcases H i with ⟨b, hb, hb'⟩
exact lt_of_le_of_lt (csInf_le' hb') hb
· have := hf.strictMono hb
rw [← hf', lt_lsub_iff] at this
obtain ⟨i, hi⟩ := this
rcases H i with ⟨b, _, hb⟩
exact
((le_csInf_iff'' ⟨b, by exact hb⟩).2 fun c hc =>
hf.strictMono.le_iff_le.1 (hi.trans hc)).trans_lt (lt_lsub _ i)
· rw [@blsub_comp.{u, u, u} a _ (fun b _ => f b) (@fun i j _ _ h => hf.strictMono.monotone h) g
hg.2.2]
exact IsNormal.blsub_eq.{u, u} hf ha
theorem IsNormal.cof_eq {f} (hf : IsNormal f) {a} (ha : IsLimit a) : cof (f a) = cof a :=
let ⟨_, hg⟩ := exists_fundamental_sequence a
ord_injective (hf.isFundamentalSequence ha hg).cof_eq
theorem IsNormal.cof_le {f} (hf : IsNormal f) (a) : cof a ≤ cof (f a) := by
rcases zero_or_succ_or_limit a with (rfl | ⟨b, rfl⟩ | ha)
· rw [cof_zero]
exact zero_le _
· rw [cof_succ, Cardinal.one_le_iff_ne_zero, cof_ne_zero, ← Ordinal.pos_iff_ne_zero]
exact (Ordinal.zero_le (f b)).trans_lt (hf.1 b)
· rw [hf.cof_eq ha]
@[simp]
theorem cof_add (a b : Ordinal) : b ≠ 0 → cof (a + b) = cof b := fun h => by
rcases zero_or_succ_or_limit b with (rfl | ⟨c, rfl⟩ | hb)
· contradiction
· rw [add_succ, cof_succ, cof_succ]
· exact (isNormal_add_right a).cof_eq hb
theorem aleph0_le_cof {o} : ℵ₀ ≤ cof o ↔ IsLimit o := by
rcases zero_or_succ_or_limit o with (rfl | ⟨o, rfl⟩ | l)
· simp [not_zero_isLimit, Cardinal.aleph0_ne_zero]
· simp [not_succ_isLimit, Cardinal.one_lt_aleph0]
· simp only [l, iff_true]
refine le_of_not_lt fun h => ?_
obtain ⟨n, e⟩ := Cardinal.lt_aleph0.1 h
have := cof_cof o
rw [e, ord_nat] at this
cases n
· simp at e
simp [e, not_zero_isLimit] at l
· rw [natCast_succ, cof_succ] at this
rw [← this, cof_eq_one_iff_is_succ] at e
rcases e with ⟨a, rfl⟩
exact not_succ_isLimit _ l
@[simp]
theorem cof_preOmega {o : Ordinal} (ho : IsSuccPrelimit o) : (preOmega o).cof = o.cof := by
by_cases h : IsMin o
· simp [h.eq_bot]
· exact isNormal_preOmega.cof_eq ⟨h, ho⟩
@[simp]
theorem cof_omega {o : Ordinal} (ho : o.IsLimit) : (ω_ o).cof = o.cof :=
isNormal_omega.cof_eq ho
@[simp]
theorem cof_omega0 : cof ω = ℵ₀ :=
(aleph0_le_cof.2 isLimit_omega0).antisymm' <| by
rw [← card_omega0]
apply cof_le_card
theorem cof_eq' (r : α → α → Prop) [IsWellOrder α r] (h : IsLimit (type r)) :
∃ S : Set α, (∀ a, ∃ b ∈ S, r a b) ∧ #S = cof (type r) :=
let ⟨S, H, e⟩ := cof_eq r
⟨S, fun a =>
let a' := enum r ⟨_, h.succ_lt (typein_lt_type r a)⟩
let ⟨b, h, ab⟩ := H a'
⟨b, h,
(IsOrderConnected.conn a b a' <|
(typein_lt_typein r).1
(by
rw [typein_enum]
exact lt_succ (typein _ _))).resolve_right
ab⟩,
e⟩
@[simp]
theorem cof_univ : cof univ.{u, v} = Cardinal.univ.{u, v} :=
le_antisymm (cof_le_card _)
(by
refine le_of_forall_lt fun c h => ?_
rcases lt_univ'.1 h with ⟨c, rfl⟩
rcases @cof_eq Ordinal.{u} (· < ·) _ with ⟨S, H, Se⟩
rw [univ, ← lift_cof, ← Cardinal.lift_lift.{u+1, v, u}, Cardinal.lift_lt, ← Se]
refine lt_of_not_ge fun h => ?_
obtain ⟨a, e⟩ := Cardinal.mem_range_lift_of_le h
refine Quotient.inductionOn a (fun α e => ?_) e
obtain ⟨f⟩ := Quotient.exact e
have f := Equiv.ulift.symm.trans f
let g a := (f a).1
let o := succ (iSup g)
rcases H o with ⟨b, h, l⟩
refine l (lt_succ_iff.2 ?_)
rw [← show g (f.symm ⟨b, h⟩) = b by simp [g]]
apply Ordinal.le_iSup)
end Ordinal
namespace Cardinal
open Ordinal
/-! ### Results on sets -/
theorem mk_bounded_subset {α : Type*} (h : ∀ x < #α, 2 ^ x < #α) {r : α → α → Prop}
[IsWellOrder α r] (hr : (#α).ord = type r) : #{ s : Set α // Bounded r s } = #α := by
rcases eq_or_ne #α 0 with (ha | ha)
· rw [ha]
haveI := mk_eq_zero_iff.1 ha
rw [mk_eq_zero_iff]
constructor
rintro ⟨s, hs⟩
exact (not_unbounded_iff s).2 hs (unbounded_of_isEmpty s)
have h' : IsStrongLimit #α := ⟨ha, @h⟩
have ha := h'.aleph0_le
apply le_antisymm
· have : { s : Set α | Bounded r s } = ⋃ i, 𝒫{ j | r j i } := setOf_exists _
rw [← coe_setOf, this]
refine mk_iUnion_le_sum_mk.trans ((sum_le_iSup (fun i => #(𝒫{ j | r j i }))).trans
((mul_le_max_of_aleph0_le_left ha).trans ?_))
rw [max_eq_left]
apply ciSup_le' _
intro i
rw [mk_powerset]
apply (h'.two_power_lt _).le
rw [coe_setOf, card_typein, ← lt_ord, hr]
apply typein_lt_type
· refine @mk_le_of_injective α _ (fun x => Subtype.mk {x} ?_) ?_
· apply bounded_singleton
rw [← hr]
apply isLimit_ord ha
· intro a b hab
simpa [singleton_eq_singleton_iff] using hab
theorem mk_subset_mk_lt_cof {α : Type*} (h : ∀ x < #α, 2 ^ x < #α) :
#{ s : Set α // #s < cof (#α).ord } = #α := by
rcases eq_or_ne #α 0 with (ha | ha)
· simp [ha]
have h' : IsStrongLimit #α := ⟨ha, @h⟩
rcases ord_eq α with ⟨r, wo, hr⟩
haveI := wo
apply le_antisymm
· conv_rhs => rw [← mk_bounded_subset h hr]
apply mk_le_mk_of_subset
intro s hs
rw [hr] at hs
exact lt_cof_type hs
· refine @mk_le_of_injective α _ (fun x => Subtype.mk {x} ?_) ?_
· rw [mk_singleton]
exact one_lt_aleph0.trans_le (aleph0_le_cof.2 (isLimit_ord h'.aleph0_le))
· intro a b hab
simpa [singleton_eq_singleton_iff] using hab
/-- If the union of s is unbounded and s is smaller than the cofinality,
then s has an unbounded member -/
theorem unbounded_of_unbounded_sUnion (r : α → α → Prop) [wo : IsWellOrder α r] {s : Set (Set α)}
(h₁ : Unbounded r <| ⋃₀ s) (h₂ : #s < Order.cof (swap rᶜ)) : ∃ x ∈ s, Unbounded r x := by
by_contra! h
simp_rw [not_unbounded_iff] at h
let f : s → α := fun x : s => wo.wf.sup x (h x.1 x.2)
refine h₂.not_le (le_trans (csInf_le' ⟨range f, fun x => ?_, rfl⟩) mk_range_le)
rcases h₁ x with ⟨y, ⟨c, hc, hy⟩, hxy⟩
exact ⟨f ⟨c, hc⟩, mem_range_self _, fun hxz => hxy (Trans.trans (wo.wf.lt_sup _ hy) hxz)⟩
/-- If the union of s is unbounded and s is smaller than the cofinality,
then s has an unbounded member -/
theorem unbounded_of_unbounded_iUnion {α β : Type u} (r : α → α → Prop) [wo : IsWellOrder α r]
(s : β → Set α) (h₁ : Unbounded r <| ⋃ x, s x) (h₂ : #β < Order.cof (swap rᶜ)) :
∃ x : β, Unbounded r (s x) := by
rw [← sUnion_range] at h₁
rcases unbounded_of_unbounded_sUnion r h₁ (mk_range_le.trans_lt h₂) with ⟨_, ⟨x, rfl⟩, u⟩
exact ⟨x, u⟩
/-! ### Consequences of König's lemma -/
theorem lt_power_cof {c : Cardinal.{u}} : ℵ₀ ≤ c → c < c ^ c.ord.cof :=
Cardinal.inductionOn c fun α h => by
rcases ord_eq α with ⟨r, wo, re⟩
have := isLimit_ord h
rw [re] at this ⊢
rcases cof_eq' r this with ⟨S, H, Se⟩
have := sum_lt_prod (fun a : S => #{ x // r x a }) (fun _ => #α) fun i => ?_
· simp only [Cardinal.prod_const, Cardinal.lift_id, ← Se, ← mk_sigma, power_def] at this ⊢
refine lt_of_le_of_lt ?_ this
refine ⟨Embedding.ofSurjective ?_ ?_⟩
· exact fun x => x.2.1
· exact fun a =>
let ⟨b, h, ab⟩ := H a
⟨⟨⟨_, h⟩, _, ab⟩, rfl⟩
· have := typein_lt_type r i
rwa [← re, lt_ord] at this
theorem lt_cof_power {a b : Cardinal} (ha : ℵ₀ ≤ a) (b1 : 1 < b) : a < (b ^ a).ord.cof := by
have b0 : b ≠ 0 := (zero_lt_one.trans b1).ne'
apply lt_imp_lt_of_le_imp_le (power_le_power_left <| power_ne_zero a b0)
rw [← power_mul, mul_eq_self ha]
exact lt_power_cof (ha.trans <| (cantor' _ b1).le)
end Cardinal
| Mathlib/SetTheory/Cardinal/Cofinality.lean | 1,221 | 1,224 | |
/-
Copyright (c) 2021 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov
-/
import Mathlib.Analysis.Convex.Between
import Mathlib.MeasureTheory.Constructions.BorelSpace.Basic
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.Topology.MetricSpace.Holder
import Mathlib.Topology.MetricSpace.MetricSeparated
/-!
# Hausdorff measure and metric (outer) measures
In this file we define the `d`-dimensional Hausdorff measure on an (extended) metric space `X` and
the Hausdorff dimension of a set in an (extended) metric space. Let `μ d δ` be the maximal outer
measure such that `μ d δ s ≤ (EMetric.diam s) ^ d` for every set of diameter less than `δ`. Then
the Hausdorff measure `μH[d] s` of `s` is defined as `⨆ δ > 0, μ d δ s`. By Caratheodory theorem
`MeasureTheory.OuterMeasure.IsMetric.borel_le_caratheodory`, this is a Borel measure on `X`.
The value of `μH[d]`, `d > 0`, on a set `s` (measurable or not) is given by
```
μH[d] s = ⨆ (r : ℝ≥0∞) (hr : 0 < r), ⨅ (t : ℕ → Set X) (hts : s ⊆ ⋃ n, t n)
(ht : ∀ n, EMetric.diam (t n) ≤ r), ∑' n, EMetric.diam (t n) ^ d
```
For every set `s` for any `d < d'` we have either `μH[d] s = ∞` or `μH[d'] s = 0`, see
`MeasureTheory.Measure.hausdorffMeasure_zero_or_top`. In
`Mathlib.Topology.MetricSpace.HausdorffDimension` we use this fact to define the Hausdorff dimension
`dimH` of a set in an (extended) metric space.
We also define two generalizations of the Hausdorff measure. In one generalization (see
`MeasureTheory.Measure.mkMetric`) we take any function `m (diam s)` instead of `(diam s) ^ d`. In
an even more general definition (see `MeasureTheory.Measure.mkMetric'`) we use any function
of `m : Set X → ℝ≥0∞`. Some authors start with a partial function `m` defined only on some sets
`s : Set X` (e.g., only on balls or only on measurable sets). This is equivalent to our definition
applied to `MeasureTheory.extend m`.
We also define a predicate `MeasureTheory.OuterMeasure.IsMetric` which says that an outer measure
is additive on metric separated pairs of sets: `μ (s ∪ t) = μ s + μ t` provided that
`⨅ (x ∈ s) (y ∈ t), edist x y ≠ 0`. This is the property required for the Caratheodory theorem
`MeasureTheory.OuterMeasure.IsMetric.borel_le_caratheodory`, so we prove this theorem for any
metric outer measure, then prove that outer measures constructed using `mkMetric'` are metric outer
measures.
## Main definitions
* `MeasureTheory.OuterMeasure.IsMetric`: an outer measure `μ` is called *metric* if
`μ (s ∪ t) = μ s + μ t` for any two metric separated sets `s` and `t`. A metric outer measure in a
Borel extended metric space is guaranteed to satisfy the Caratheodory condition, see
`MeasureTheory.OuterMeasure.IsMetric.borel_le_caratheodory`.
* `MeasureTheory.OuterMeasure.mkMetric'` and its particular case
`MeasureTheory.OuterMeasure.mkMetric`: a construction of an outer measure that is guaranteed to
be metric. Both constructions are generalizations of the Hausdorff measure. The same measures
interpreted as Borel measures are called `MeasureTheory.Measure.mkMetric'` and
`MeasureTheory.Measure.mkMetric`.
* `MeasureTheory.Measure.hausdorffMeasure` a.k.a. `μH[d]`: the `d`-dimensional Hausdorff measure.
There are many definitions of the Hausdorff measure that differ from each other by a
multiplicative constant. We put
`μH[d] s = ⨆ r > 0, ⨅ (t : ℕ → Set X) (hts : s ⊆ ⋃ n, t n) (ht : ∀ n, EMetric.diam (t n) ≤ r),
∑' n, ⨆ (ht : ¬Set.Subsingleton (t n)), (EMetric.diam (t n)) ^ d`,
see `MeasureTheory.Measure.hausdorffMeasure_apply`. In the most interesting case `0 < d` one
can omit the `⨆ (ht : ¬Set.Subsingleton (t n))` part.
## Main statements
### Basic properties
* `MeasureTheory.OuterMeasure.IsMetric.borel_le_caratheodory`: if `μ` is a metric outer measure
on an extended metric space `X` (that is, it is additive on pairs of metric separated sets), then
every Borel set is Caratheodory measurable (hence, `μ` defines an actual
`MeasureTheory.Measure`). See also `MeasureTheory.Measure.mkMetric`.
* `MeasureTheory.Measure.hausdorffMeasure_mono`: `μH[d] s` is an antitone function
of `d`.
* `MeasureTheory.Measure.hausdorffMeasure_zero_or_top`: if `d₁ < d₂`, then for any `s`, either
`μH[d₂] s = 0` or `μH[d₁] s = ∞`. Together with the previous lemma, this means that `μH[d] s` is
equal to infinity on some ray `(-∞, D)` and is equal to zero on `(D, +∞)`, where `D` is a possibly
infinite number called the *Hausdorff dimension* of `s`; `μH[D] s` can be zero, infinity, or
anything in between.
* `MeasureTheory.Measure.noAtoms_hausdorff`: Hausdorff measure has no atoms.
### Hausdorff measure in `ℝⁿ`
* `MeasureTheory.hausdorffMeasure_pi_real`: for a nonempty `ι`, `μH[card ι]` on `ι → ℝ` equals
Lebesgue measure.
## Notations
We use the following notation localized in `MeasureTheory`.
- `μH[d]` : `MeasureTheory.Measure.hausdorffMeasure d`
## Implementation notes
There are a few similar constructions called the `d`-dimensional Hausdorff measure. E.g., some
sources only allow coverings by balls and use `r ^ d` instead of `(diam s) ^ d`. While these
construction lead to different Hausdorff measures, they lead to the same notion of the Hausdorff
dimension.
## References
* [Herbert Federer, Geometric Measure Theory, Chapter 2.10][Federer1996]
## Tags
Hausdorff measure, measure, metric measure
-/
open scoped NNReal ENNReal Topology
open EMetric Set Function Filter Encodable Module TopologicalSpace
noncomputable section
variable {ι X Y : Type*} [EMetricSpace X] [EMetricSpace Y]
namespace MeasureTheory
namespace OuterMeasure
/-!
### Metric outer measures
In this section we define metric outer measures and prove Caratheodory theorem: a metric outer
measure has the Caratheodory property.
-/
/-- We say that an outer measure `μ` in an (e)metric space is *metric* if `μ (s ∪ t) = μ s + μ t`
for any two metric separated sets `s`, `t`. -/
def IsMetric (μ : OuterMeasure X) : Prop :=
∀ s t : Set X, Metric.AreSeparated s t → μ (s ∪ t) = μ s + μ t
namespace IsMetric
variable {μ : OuterMeasure X}
/-- A metric outer measure is additive on a finite set of pairwise metric separated sets. -/
theorem finset_iUnion_of_pairwise_separated (hm : IsMetric μ) {I : Finset ι} {s : ι → Set X}
(hI : ∀ i ∈ I, ∀ j ∈ I, i ≠ j → Metric.AreSeparated (s i) (s j)) :
μ (⋃ i ∈ I, s i) = ∑ i ∈ I, μ (s i) := by
classical
induction I using Finset.induction_on with
| empty => simp
| insert i I hiI ihI =>
simp only [Finset.mem_insert] at hI
rw [Finset.set_biUnion_insert, hm, ihI, Finset.sum_insert hiI]
exacts [fun i hi j hj hij => hI i (Or.inr hi) j (Or.inr hj) hij,
Metric.AreSeparated.finset_iUnion_right fun j hj =>
hI i (Or.inl rfl) j (Or.inr hj) (ne_of_mem_of_not_mem hj hiI).symm]
/-- Caratheodory theorem. If `m` is a metric outer measure, then every Borel measurable set `t` is
Caratheodory measurable: for any (not necessarily measurable) set `s` we have
`μ (s ∩ t) + μ (s \ t) = μ s`. -/
theorem borel_le_caratheodory (hm : IsMetric μ) : borel X ≤ μ.caratheodory := by
rw [borel_eq_generateFrom_isClosed]
refine MeasurableSpace.generateFrom_le fun t ht => μ.isCaratheodory_iff_le.2 fun s => ?_
set S : ℕ → Set X := fun n => {x ∈ s | (↑n)⁻¹ ≤ infEdist x t}
have Ssep (n) : Metric.AreSeparated (S n) t :=
⟨n⁻¹, ENNReal.inv_ne_zero.2 (ENNReal.natCast_ne_top _),
fun x hx y hy ↦ hx.2.trans <| infEdist_le_edist_of_mem hy⟩
have Ssep' : ∀ n, Metric.AreSeparated (S n) (s ∩ t) := fun n =>
(Ssep n).mono Subset.rfl inter_subset_right
have S_sub : ∀ n, S n ⊆ s \ t := fun n =>
subset_inter inter_subset_left (Ssep n).subset_compl_right
have hSs : ∀ n, μ (s ∩ t) + μ (S n) ≤ μ s := fun n =>
calc
μ (s ∩ t) + μ (S n) = μ (s ∩ t ∪ S n) := Eq.symm <| hm _ _ <| (Ssep' n).symm
_ ≤ μ (s ∩ t ∪ s \ t) := μ.mono <| union_subset_union_right _ <| S_sub n
_ = μ s := by rw [inter_union_diff]
have iUnion_S : ⋃ n, S n = s \ t := by
refine Subset.antisymm (iUnion_subset S_sub) ?_
rintro x ⟨hxs, hxt⟩
rw [mem_iff_infEdist_zero_of_closed ht] at hxt
rcases ENNReal.exists_inv_nat_lt hxt with ⟨n, hn⟩
exact mem_iUnion.2 ⟨n, hxs, hn.le⟩
/- Now we have `∀ n, μ (s ∩ t) + μ (S n) ≤ μ s` and we need to prove
`μ (s ∩ t) + μ (⋃ n, S n) ≤ μ s`. We can't pass to the limit because
`μ` is only an outer measure. -/
by_cases htop : μ (s \ t) = ∞
· rw [htop, add_top, ← htop]
exact μ.mono diff_subset
suffices μ (⋃ n, S n) ≤ ⨆ n, μ (S n) by calc
μ (s ∩ t) + μ (s \ t) = μ (s ∩ t) + μ (⋃ n, S n) := by rw [iUnion_S]
_ ≤ μ (s ∩ t) + ⨆ n, μ (S n) := by gcongr
_ = ⨆ n, μ (s ∩ t) + μ (S n) := ENNReal.add_iSup ..
_ ≤ μ s := iSup_le hSs
/- It suffices to show that `∑' k, μ (S (k + 1) \ S k) ≠ ∞`. Indeed, if we have this,
then for all `N` we have `μ (⋃ n, S n) ≤ μ (S N) + ∑' k, m (S (N + k + 1) \ S (N + k))`
and the second term tends to zero, see `OuterMeasure.iUnion_nat_of_monotone_of_tsum_ne_top`
for details. -/
have : ∀ n, S n ⊆ S (n + 1) := fun n x hx =>
⟨hx.1, le_trans (ENNReal.inv_le_inv.2 <| Nat.cast_le.2 n.le_succ) hx.2⟩
refine (μ.iUnion_nat_of_monotone_of_tsum_ne_top this ?_).le; clear this
/- While the sets `S (k + 1) \ S k` are not pairwise metric separated, the sets in each
subsequence `S (2 * k + 1) \ S (2 * k)` and `S (2 * k + 2) \ S (2 * k)` are metric separated,
so `m` is additive on each of those sequences. -/
rw [← tsum_even_add_odd ENNReal.summable ENNReal.summable, ENNReal.add_ne_top]
suffices ∀ a, (∑' k : ℕ, μ (S (2 * k + 1 + a) \ S (2 * k + a))) ≠ ∞ from
⟨by simpa using this 0, by simpa using this 1⟩
refine fun r => ne_top_of_le_ne_top htop ?_
rw [← iUnion_S, ENNReal.tsum_eq_iSup_nat, iSup_le_iff]
intro n
rw [← hm.finset_iUnion_of_pairwise_separated]
· exact μ.mono (iUnion_subset fun i => iUnion_subset fun _ x hx => mem_iUnion.2 ⟨_, hx.1⟩)
suffices ∀ i j, i < j → Metric.AreSeparated (S (2 * i + 1 + r)) (s \ S (2 * j + r)) from
fun i _ j _ hij => hij.lt_or_lt.elim
(fun h => (this i j h).mono inter_subset_left fun x hx => by exact ⟨hx.1.1, hx.2⟩)
fun h => (this j i h).symm.mono (fun x hx => by exact ⟨hx.1.1, hx.2⟩) inter_subset_left
intro i j hj
have A : ((↑(2 * j + r))⁻¹ : ℝ≥0∞) < (↑(2 * i + 1 + r))⁻¹ := by
rw [ENNReal.inv_lt_inv, Nat.cast_lt]; omega
refine ⟨(↑(2 * i + 1 + r))⁻¹ - (↑(2 * j + r))⁻¹, by simpa [tsub_eq_zero_iff_le] using A,
fun x hx y hy => ?_⟩
have : infEdist y t < (↑(2 * j + r))⁻¹ := not_le.1 fun hle => hy.2 ⟨hy.1, hle⟩
rcases infEdist_lt_iff.mp this with ⟨z, hzt, hyz⟩
have hxz : (↑(2 * i + 1 + r))⁻¹ ≤ edist x z := le_infEdist.1 hx.2 _ hzt
apply ENNReal.le_of_add_le_add_right hyz.ne_top
refine le_trans ?_ (edist_triangle _ _ _)
refine (add_le_add le_rfl hyz.le).trans (Eq.trans_le ?_ hxz)
rw [tsub_add_cancel_of_le A.le]
theorem le_caratheodory [MeasurableSpace X] [BorelSpace X] (hm : IsMetric μ) :
‹MeasurableSpace X› ≤ μ.caratheodory := by
rw [BorelSpace.measurable_eq (α := X)]
exact hm.borel_le_caratheodory
end IsMetric
/-!
### Constructors of metric outer measures
In this section we provide constructors `MeasureTheory.OuterMeasure.mkMetric'` and
`MeasureTheory.OuterMeasure.mkMetric` and prove that these outer measures are metric outer
measures. We also prove basic lemmas about `map`/`comap` of these measures.
-/
/-- Auxiliary definition for `OuterMeasure.mkMetric'`: given a function on sets
`m : Set X → ℝ≥0∞`, returns the maximal outer measure `μ` such that `μ s ≤ m s`
for any set `s` of diameter at most `r`. -/
def mkMetric'.pre (m : Set X → ℝ≥0∞) (r : ℝ≥0∞) : OuterMeasure X :=
boundedBy <| extend fun s (_ : diam s ≤ r) => m s
/-- Given a function `m : Set X → ℝ≥0∞`, `mkMetric' m` is the supremum of `mkMetric'.pre m r`
over `r > 0`. Equivalently, it is the limit of `mkMetric'.pre m r` as `r` tends to zero from
the right. -/
def mkMetric' (m : Set X → ℝ≥0∞) : OuterMeasure X :=
⨆ r > 0, mkMetric'.pre m r
/-- Given a function `m : ℝ≥0∞ → ℝ≥0∞` and `r > 0`, let `μ r` be the maximal outer measure such that
`μ s ≤ m (EMetric.diam s)` whenever `EMetric.diam s < r`. Then `mkMetric m = ⨆ r > 0, μ r`. -/
def mkMetric (m : ℝ≥0∞ → ℝ≥0∞) : OuterMeasure X :=
mkMetric' fun s => m (diam s)
namespace mkMetric'
variable {m : Set X → ℝ≥0∞} {r : ℝ≥0∞} {μ : OuterMeasure X} {s : Set X}
theorem le_pre : μ ≤ pre m r ↔ ∀ s : Set X, diam s ≤ r → μ s ≤ m s := by
simp only [pre, le_boundedBy, extend, le_iInf_iff]
theorem pre_le (hs : diam s ≤ r) : pre m r s ≤ m s :=
(boundedBy_le _).trans <| iInf_le _ hs
theorem mono_pre (m : Set X → ℝ≥0∞) {r r' : ℝ≥0∞} (h : r ≤ r') : pre m r' ≤ pre m r :=
le_pre.2 fun _ hs => pre_le (hs.trans h)
theorem mono_pre_nat (m : Set X → ℝ≥0∞) : Monotone fun k : ℕ => pre m k⁻¹ :=
fun k l h => le_pre.2 fun _ hs => pre_le (hs.trans <| by simpa)
theorem tendsto_pre (m : Set X → ℝ≥0∞) (s : Set X) :
Tendsto (fun r => pre m r s) (𝓝[>] 0) (𝓝 <| mkMetric' m s) := by
rw [← map_coe_Ioi_atBot, tendsto_map'_iff]
simp only [mkMetric', OuterMeasure.iSup_apply, iSup_subtype']
exact tendsto_atBot_iSup fun r r' hr => mono_pre _ hr _
theorem tendsto_pre_nat (m : Set X → ℝ≥0∞) (s : Set X) :
Tendsto (fun n : ℕ => pre m n⁻¹ s) atTop (𝓝 <| mkMetric' m s) := by
refine (tendsto_pre m s).comp (tendsto_inf.2 ⟨ENNReal.tendsto_inv_nat_nhds_zero, ?_⟩)
refine tendsto_principal.2 (Eventually.of_forall fun n => ?_)
simp
theorem eq_iSup_nat (m : Set X → ℝ≥0∞) : mkMetric' m = ⨆ n : ℕ, mkMetric'.pre m n⁻¹ := by
ext1 s
rw [iSup_apply]
refine tendsto_nhds_unique (mkMetric'.tendsto_pre_nat m s)
(tendsto_atTop_iSup fun k l hkl => mkMetric'.mono_pre_nat m hkl s)
/-- `MeasureTheory.OuterMeasure.mkMetric'.pre m r` is a trimmed measure provided that
`m (closure s) = m s` for any set `s`. -/
theorem trim_pre [MeasurableSpace X] [OpensMeasurableSpace X] (m : Set X → ℝ≥0∞)
(hcl : ∀ s, m (closure s) = m s) (r : ℝ≥0∞) : (pre m r).trim = pre m r := by
refine le_antisymm (le_pre.2 fun s hs => ?_) (le_trim _)
rw [trim_eq_iInf]
refine iInf_le_of_le (closure s) <| iInf_le_of_le subset_closure <|
iInf_le_of_le measurableSet_closure ((pre_le ?_).trans_eq (hcl _))
rwa [diam_closure]
end mkMetric'
/-- An outer measure constructed using `OuterMeasure.mkMetric'` is a metric outer measure. -/
theorem mkMetric'_isMetric (m : Set X → ℝ≥0∞) : (mkMetric' m).IsMetric := by
rintro s t ⟨r, r0, hr⟩
refine tendsto_nhds_unique_of_eventuallyEq
(mkMetric'.tendsto_pre _ _) ((mkMetric'.tendsto_pre _ _).add (mkMetric'.tendsto_pre _ _)) ?_
rw [← pos_iff_ne_zero] at r0
filter_upwards [Ioo_mem_nhdsGT r0]
rintro ε ⟨_, εr⟩
refine boundedBy_union_of_top_of_nonempty_inter ?_
rintro u ⟨x, hxs, hxu⟩ ⟨y, hyt, hyu⟩
have : ε < diam u := εr.trans_le ((hr x hxs y hyt).trans <| edist_le_diam_of_mem hxu hyu)
exact iInf_eq_top.2 fun h => (this.not_le h).elim
/-- If `c ∉ {0, ∞}` and `m₁ d ≤ c * m₂ d` for `d < ε` for some `ε > 0`
(we use `≤ᶠ[𝓝[≥] 0]` to state this), then `mkMetric m₁ hm₁ ≤ c • mkMetric m₂ hm₂`. -/
theorem mkMetric_mono_smul {m₁ m₂ : ℝ≥0∞ → ℝ≥0∞} {c : ℝ≥0∞} (hc : c ≠ ∞) (h0 : c ≠ 0)
(hle : m₁ ≤ᶠ[𝓝[≥] 0] c • m₂) : (mkMetric m₁ : OuterMeasure X) ≤ c • mkMetric m₂ := by
classical
rcases (mem_nhdsGE_iff_exists_Ico_subset' zero_lt_one).1 hle with ⟨r, hr0, hr⟩
refine fun s =>
le_of_tendsto_of_tendsto (mkMetric'.tendsto_pre _ s)
(ENNReal.Tendsto.const_mul (mkMetric'.tendsto_pre _ s) (Or.inr hc))
(mem_of_superset (Ioo_mem_nhdsGT hr0) fun r' hr' => ?_)
simp only [mem_setOf_eq, mkMetric'.pre, RingHom.id_apply]
rw [← smul_eq_mul, ← smul_apply, smul_boundedBy hc]
refine le_boundedBy.2 (fun t => (boundedBy_le _).trans ?_) _
simp only [smul_eq_mul, Pi.smul_apply, extend, iInf_eq_if]
split_ifs with ht
· apply hr
exact ⟨zero_le _, ht.trans_lt hr'.2⟩
· simp [h0]
@[simp]
theorem mkMetric_top : (mkMetric (fun _ => ∞ : ℝ≥0∞ → ℝ≥0∞) : OuterMeasure X) = ⊤ := by
simp_rw [mkMetric, mkMetric', mkMetric'.pre, extend_top, boundedBy_top, eq_top_iff]
rw [le_iSup_iff]
intro b hb
simpa using hb ⊤
/-- If `m₁ d ≤ m₂ d` for `d < ε` for some `ε > 0` (we use `≤ᶠ[𝓝[≥] 0]` to state this), then
`mkMetric m₁ hm₁ ≤ mkMetric m₂ hm₂`. -/
theorem mkMetric_mono {m₁ m₂ : ℝ≥0∞ → ℝ≥0∞} (hle : m₁ ≤ᶠ[𝓝[≥] 0] m₂) :
(mkMetric m₁ : OuterMeasure X) ≤ mkMetric m₂ := by
convert @mkMetric_mono_smul X _ _ m₂ _ ENNReal.one_ne_top one_ne_zero _ <;> simp [*]
theorem isometry_comap_mkMetric (m : ℝ≥0∞ → ℝ≥0∞) {f : X → Y} (hf : Isometry f)
(H : Monotone m ∨ Surjective f) : comap f (mkMetric m) = mkMetric m := by
simp only [mkMetric, mkMetric', mkMetric'.pre, inducedOuterMeasure, comap_iSup]
refine surjective_id.iSup_congr id fun ε => surjective_id.iSup_congr id fun hε => ?_
rw [comap_boundedBy _ (H.imp _ id)]
· congr with s : 1
apply extend_congr
| · simp [hf.ediam_image]
· intros; simp [hf.injective.subsingleton_image_iff, hf.ediam_image]
· intro h_mono s t hst
simp only [extend, le_iInf_iff]
intro ht
| Mathlib/MeasureTheory/Measure/Hausdorff.lean | 355 | 359 |
/-
Copyright (c) 2022 Julian Kuelshammer. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Julian Kuelshammer
-/
import Mathlib.Algebra.BigOperators.Fin
import Mathlib.Algebra.BigOperators.NatAntidiagonal
import Mathlib.Data.Nat.Choose.Central
import Mathlib.Tactic.FieldSimp
import Mathlib.Tactic.GCongr
import Mathlib.Tactic.Positivity
/-!
# Catalan numbers
The Catalan numbers (http://oeis.org/A000108) are probably the most ubiquitous sequence of integers
in mathematics. They enumerate several important objects like binary trees, Dyck paths, and
triangulations of convex polygons.
## Main definitions
* `catalan n`: the `n`th Catalan number, defined recursively as
`catalan (n + 1) = ∑ i : Fin n.succ, catalan i * catalan (n - i)`.
## Main results
* `catalan_eq_centralBinom_div`: The explicit formula for the Catalan number using the central
binomial coefficient, `catalan n = Nat.centralBinom n / (n + 1)`.
* `treesOfNumNodesEq_card_eq_catalan`: The number of binary trees with `n` internal nodes
is `catalan n`
## Implementation details
The proof of `catalan_eq_centralBinom_div` follows https://math.stackexchange.com/questions/3304415
## TODO
* Prove that the Catalan numbers enumerate many interesting objects.
* Provide the many variants of Catalan numbers, e.g. associated to complex reflection groups,
Fuss-Catalan, etc.
-/
open Finset
open Finset.antidiagonal (fst_le snd_le)
/-- The recursive definition of the sequence of Catalan numbers:
`catalan (n + 1) = ∑ i : Fin n.succ, catalan i * catalan (n - i)` -/
def catalan : ℕ → ℕ
| 0 => 1
| n + 1 =>
∑ i : Fin n.succ,
catalan i * catalan (n - i)
@[simp]
theorem catalan_zero : catalan 0 = 1 := by rw [catalan]
theorem catalan_succ (n : ℕ) : catalan (n + 1) = ∑ i : Fin n.succ, catalan i * catalan (n - i) := by
rw [catalan]
theorem catalan_succ' (n : ℕ) :
catalan (n + 1) = ∑ ij ∈ antidiagonal n, catalan ij.1 * catalan ij.2 := by
rw [catalan_succ, Nat.sum_antidiagonal_eq_sum_range_succ (fun x y => catalan x * catalan y) n,
sum_range]
@[simp]
theorem catalan_one : catalan 1 = 1 := by simp [catalan_succ]
/-- A helper sequence that can be used to prove the equality of the recursive and the explicit
definition using a telescoping sum argument. -/
private def gosperCatalan (n j : ℕ) : ℚ :=
Nat.centralBinom j * Nat.centralBinom (n - j) * (2 * j - n) / (2 * n * (n + 1))
private theorem gosper_trick {n i : ℕ} (h : i ≤ n) :
gosperCatalan (n + 1) (i + 1) - gosperCatalan (n + 1) i =
| Nat.centralBinom i / (i + 1) * Nat.centralBinom (n - i) / (n - i + 1) := by
| Mathlib/Combinatorics/Enumerative/Catalan.lean | 79 | 79 |
/-
Copyright (c) 2018 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro
-/
import Mathlib.Computability.Tape
import Mathlib.Data.Fintype.Option
import Mathlib.Data.Fintype.Prod
import Mathlib.Data.Fintype.Pi
import Mathlib.Data.PFun
import Mathlib.Computability.PostTuringMachine
/-!
# Turing machines
The files `PostTuringMachine.lean` and `TuringMachine.lean` define
a sequence of simple machine languages, starting with Turing machines and working
up to more complex languages based on Wang B-machines.
`PostTuringMachine.lean` covers the TM0 model and TM1 model;
`TuringMachine.lean` adds the TM2 model.
## Naming conventions
Each model of computation in this file shares a naming convention for the elements of a model of
computation. These are the parameters for the language:
* `Γ` is the alphabet on the tape.
* `Λ` is the set of labels, or internal machine states.
* `σ` is the type of internal memory, not on the tape. This does not exist in the TM0 model, and
later models achieve this by mixing it into `Λ`.
* `K` is used in the TM2 model, which has multiple stacks, and denotes the number of such stacks.
All of these variables denote "essentially finite" types, but for technical reasons it is
convenient to allow them to be infinite anyway. When using an infinite type, we will be interested
to prove that only finitely many values of the type are ever interacted with.
Given these parameters, there are a few common structures for the model that arise:
* `Stmt` is the set of all actions that can be performed in one step. For the TM0 model this set is
finite, and for later models it is an infinite inductive type representing "possible program
texts".
* `Cfg` is the set of instantaneous configurations, that is, the state of the machine together with
its environment.
* `Machine` is the set of all machines in the model. Usually this is approximately a function
`Λ → Stmt`, although different models have different ways of halting and other actions.
* `step : Cfg → Option Cfg` is the function that describes how the state evolves over one step.
If `step c = none`, then `c` is a terminal state, and the result of the computation is read off
from `c`. Because of the type of `step`, these models are all deterministic by construction.
* `init : Input → Cfg` sets up the initial state. The type `Input` depends on the model;
in most cases it is `List Γ`.
* `eval : Machine → Input → Part Output`, given a machine `M` and input `i`, starts from
`init i`, runs `step` until it reaches an output, and then applies a function `Cfg → Output` to
the final state to obtain the result. The type `Output` depends on the model.
* `Supports : Machine → Finset Λ → Prop` asserts that a machine `M` starts in `S : Finset Λ`, and
can only ever jump to other states inside `S`. This implies that the behavior of `M` on any input
cannot depend on its values outside `S`. We use this to allow `Λ` to be an infinite set when
convenient, and prove that only finitely many of these states are actually accessible. This
formalizes "essentially finite" mentioned above.
-/
assert_not_exists MonoidWithZero
open List (Vector)
open Relation
open Nat (iterate)
open Function (update iterate_succ iterate_succ_apply iterate_succ' iterate_succ_apply'
iterate_zero_apply)
namespace Turing
/-!
## The TM2 model
The TM2 model removes the tape entirely from the TM1 model, replacing it with an arbitrary (finite)
collection of stacks, each with elements of different types (the alphabet of stack `k : K` is
`Γ k`). The statements are:
* `push k (f : σ → Γ k) q` puts `f a` on the `k`-th stack, then does `q`.
* `pop k (f : σ → Option (Γ k) → σ) q` changes the state to `f a (S k).head`, where `S k` is the
value of the `k`-th stack, and removes this element from the stack, then does `q`.
* `peek k (f : σ → Option (Γ k) → σ) q` changes the state to `f a (S k).head`, where `S k` is the
value of the `k`-th stack, then does `q`.
* `load (f : σ → σ) q` reads nothing but applies `f` to the internal state, then does `q`.
* `branch (f : σ → Bool) qtrue qfalse` does `qtrue` or `qfalse` according to `f a`.
* `goto (f : σ → Λ)` jumps to label `f a`.
* `halt` halts on the next step.
The configuration is a tuple `(l, var, stk)` where `l : Option Λ` is the current label to run or
`none` for the halting state, `var : σ` is the (finite) internal state, and `stk : ∀ k, List (Γ k)`
is the collection of stacks. (Note that unlike the `TM0` and `TM1` models, these are not
`ListBlank`s, they have definite ends that can be detected by the `pop` command.)
Given a designated stack `k` and a value `L : List (Γ k)`, the initial configuration has all the
stacks empty except the designated "input" stack; in `eval` this designated stack also functions
as the output stack.
-/
namespace TM2
variable {K : Type*}
-- Index type of stacks
variable (Γ : K → Type*)
-- Type of stack elements
variable (Λ : Type*)
-- Type of function labels
variable (σ : Type*)
-- Type of variable settings
/-- The TM2 model removes the tape entirely from the TM1 model,
replacing it with an arbitrary (finite) collection of stacks.
The operation `push` puts an element on one of the stacks,
and `pop` removes an element from a stack (and modifying the
internal state based on the result). `peek` modifies the
internal state but does not remove an element. -/
inductive Stmt
| push : ∀ k, (σ → Γ k) → Stmt → Stmt
| peek : ∀ k, (σ → Option (Γ k) → σ) → Stmt → Stmt
| pop : ∀ k, (σ → Option (Γ k) → σ) → Stmt → Stmt
| load : (σ → σ) → Stmt → Stmt
| branch : (σ → Bool) → Stmt → Stmt → Stmt
| goto : (σ → Λ) → Stmt
| halt : Stmt
open Stmt
instance Stmt.inhabited : Inhabited (Stmt Γ Λ σ) :=
⟨halt⟩
/-- A configuration in the TM2 model is a label (or `none` for the halt state), the state of
local variables, and the stacks. (Note that the stacks are not `ListBlank`s, they have a definite
size.) -/
structure Cfg where
/-- The current label to run (or `none` for the halting state) -/
l : Option Λ
/-- The internal state -/
var : σ
/-- The (finite) collection of internal stacks -/
stk : ∀ k, List (Γ k)
instance Cfg.inhabited [Inhabited σ] : Inhabited (Cfg Γ Λ σ) :=
⟨⟨default, default, default⟩⟩
variable {Γ Λ σ}
section
variable [DecidableEq K]
/-- The step function for the TM2 model. -/
def stepAux : Stmt Γ Λ σ → σ → (∀ k, List (Γ k)) → Cfg Γ Λ σ
| push k f q, v, S => stepAux q v (update S k (f v :: S k))
| peek k f q, v, S => stepAux q (f v (S k).head?) S
| pop k f q, v, S => stepAux q (f v (S k).head?) (update S k (S k).tail)
| load a q, v, S => stepAux q (a v) S
| branch f q₁ q₂, v, S => cond (f v) (stepAux q₁ v S) (stepAux q₂ v S)
| goto f, v, S => ⟨some (f v), v, S⟩
| halt, v, S => ⟨none, v, S⟩
/-- The step function for the TM2 model. -/
def step (M : Λ → Stmt Γ Λ σ) : Cfg Γ Λ σ → Option (Cfg Γ Λ σ)
| ⟨none, _, _⟩ => none
| ⟨some l, v, S⟩ => some (stepAux (M l) v S)
attribute [simp] stepAux.eq_1 stepAux.eq_2 stepAux.eq_3
stepAux.eq_4 stepAux.eq_5 stepAux.eq_6 stepAux.eq_7 step.eq_1 step.eq_2
/-- The (reflexive) reachability relation for the TM2 model. -/
def Reaches (M : Λ → Stmt Γ Λ σ) : Cfg Γ Λ σ → Cfg Γ Λ σ → Prop :=
ReflTransGen fun a b ↦ b ∈ step M a
end
/-- Given a set `S` of states, `SupportsStmt S q` means that `q` only jumps to states in `S`. -/
def SupportsStmt (S : Finset Λ) : Stmt Γ Λ σ → Prop
| push _ _ q => SupportsStmt S q
| peek _ _ q => SupportsStmt S q
| pop _ _ q => SupportsStmt S q
| load _ q => SupportsStmt S q
| branch _ q₁ q₂ => SupportsStmt S q₁ ∧ SupportsStmt S q₂
| goto l => ∀ v, l v ∈ S
| halt => True
section
open scoped Classical in
/-- The set of subtree statements in a statement. -/
noncomputable def stmts₁ : Stmt Γ Λ σ → Finset (Stmt Γ Λ σ)
| Q@(push _ _ q) => insert Q (stmts₁ q)
| Q@(peek _ _ q) => insert Q (stmts₁ q)
| Q@(pop _ _ q) => insert Q (stmts₁ q)
| Q@(load _ q) => insert Q (stmts₁ q)
| Q@(branch _ q₁ q₂) => insert Q (stmts₁ q₁ ∪ stmts₁ q₂)
| Q@(goto _) => {Q}
| Q@halt => {Q}
theorem stmts₁_self {q : Stmt Γ Λ σ} : q ∈ stmts₁ q := by
cases q <;> simp only [Finset.mem_insert_self, Finset.mem_singleton_self, stmts₁]
theorem stmts₁_trans {q₁ q₂ : Stmt Γ Λ σ} : q₁ ∈ stmts₁ q₂ → stmts₁ q₁ ⊆ stmts₁ q₂ := by
classical
intro h₁₂ q₀ h₀₁
induction q₂ with (
simp only [stmts₁] at h₁₂ ⊢
simp only [Finset.mem_insert, Finset.mem_singleton, Finset.mem_union] at h₁₂)
| branch f q₁ q₂ IH₁ IH₂ =>
rcases h₁₂ with (rfl | h₁₂ | h₁₂)
· unfold stmts₁ at h₀₁
exact h₀₁
· exact Finset.mem_insert_of_mem (Finset.mem_union_left _ (IH₁ h₁₂))
· exact Finset.mem_insert_of_mem (Finset.mem_union_right _ (IH₂ h₁₂))
| goto l => subst h₁₂; exact h₀₁
| halt => subst h₁₂; exact h₀₁
| load _ q IH | _ _ _ q IH =>
rcases h₁₂ with (rfl | h₁₂)
· unfold stmts₁ at h₀₁
exact h₀₁
· exact Finset.mem_insert_of_mem (IH h₁₂)
theorem stmts₁_supportsStmt_mono {S : Finset Λ} {q₁ q₂ : Stmt Γ Λ σ} (h : q₁ ∈ stmts₁ q₂)
(hs : SupportsStmt S q₂) : SupportsStmt S q₁ := by
induction q₂ with
simp only [stmts₁, SupportsStmt, Finset.mem_insert, Finset.mem_union, Finset.mem_singleton]
at h hs
| branch f q₁ q₂ IH₁ IH₂ => rcases h with (rfl | h | h); exacts [hs, IH₁ h hs.1, IH₂ h hs.2]
| goto l => subst h; exact hs
| halt => subst h; trivial
| load _ _ IH | _ _ _ _ IH => rcases h with (rfl | h) <;> [exact hs; exact IH h hs]
open scoped Classical in
/-- The set of statements accessible from initial set `S` of labels. -/
noncomputable def stmts (M : Λ → Stmt Γ Λ σ) (S : Finset Λ) : Finset (Option (Stmt Γ Λ σ)) :=
Finset.insertNone (S.biUnion fun q ↦ stmts₁ (M q))
theorem stmts_trans {M : Λ → Stmt Γ Λ σ} {S : Finset Λ} {q₁ q₂ : Stmt Γ Λ σ} (h₁ : q₁ ∈ stmts₁ q₂) :
some q₂ ∈ stmts M S → some q₁ ∈ stmts M S := by
simp only [stmts, Finset.mem_insertNone, Finset.mem_biUnion, Option.mem_def, Option.some.injEq,
forall_eq', exists_imp, and_imp]
exact fun l ls h₂ ↦ ⟨_, ls, stmts₁_trans h₂ h₁⟩
end
variable [Inhabited Λ]
/-- Given a TM2 machine `M` and a set `S` of states, `Supports M S` means that all states in
`S` jump only to other states in `S`. -/
def Supports (M : Λ → Stmt Γ Λ σ) (S : Finset Λ) :=
default ∈ S ∧ ∀ q ∈ S, SupportsStmt S (M q)
theorem stmts_supportsStmt {M : Λ → Stmt Γ Λ σ} {S : Finset Λ} {q : Stmt Γ Λ σ}
(ss : Supports M S) : some q ∈ stmts M S → SupportsStmt S q := by
simp only [stmts, Finset.mem_insertNone, Finset.mem_biUnion, Option.mem_def, Option.some.injEq,
forall_eq', exists_imp, and_imp]
exact fun l ls h ↦ stmts₁_supportsStmt_mono h (ss.2 _ ls)
variable [DecidableEq K]
theorem step_supports (M : Λ → Stmt Γ Λ σ) {S : Finset Λ} (ss : Supports M S) :
∀ {c c' : Cfg Γ Λ σ}, c' ∈ step M c → c.l ∈ Finset.insertNone S → c'.l ∈ Finset.insertNone S
| ⟨some l₁, v, T⟩, c', h₁, h₂ => by
replace h₂ := ss.2 _ (Finset.some_mem_insertNone.1 h₂)
simp only [step, Option.mem_def, Option.some.injEq] at h₁; subst c'
revert h₂; induction M l₁ generalizing v T with intro hs
| branch p q₁' q₂' IH₁ IH₂ =>
unfold stepAux; cases p v
· exact IH₂ _ _ hs.2
· exact IH₁ _ _ hs.1
| goto => exact Finset.some_mem_insertNone.2 (hs _)
| halt => apply Multiset.mem_cons_self
| load _ _ IH | _ _ _ _ IH => exact IH _ _ hs
variable [Inhabited σ]
/-- The initial state of the TM2 model. The input is provided on a designated stack. -/
def init (k : K) (L : List (Γ k)) : Cfg Γ Λ σ :=
⟨some default, default, update (fun _ ↦ []) k L⟩
/-- Evaluates a TM2 program to completion, with the output on the same stack as the input. -/
def eval (M : Λ → Stmt Γ Λ σ) (k : K) (L : List (Γ k)) : Part (List (Γ k)) :=
(Turing.eval (step M) (init k L)).map fun c ↦ c.stk k
end TM2
/-!
## TM2 emulator in TM1
To prove that TM2 computable functions are TM1 computable, we need to reduce each TM2 program to a
TM1 program. So suppose a TM2 program is given. This program has to maintain a whole collection of
stacks, but we have only one tape, so we must "multiplex" them all together. Pictorially, if stack
1 contains `[a, b]` and stack 2 contains `[c, d, e, f]` then the tape looks like this:
```
bottom: ... | _ | T | _ | _ | _ | _ | ...
stack 1: ... | _ | b | a | _ | _ | _ | ...
stack 2: ... | _ | f | e | d | c | _ | ...
```
where a tape element is a vertical slice through the diagram. Here the alphabet is
`Γ' := Bool × ∀ k, Option (Γ k)`, where:
* `bottom : Bool` is marked only in one place, the initial position of the TM, and represents the
tail of all stacks. It is never modified.
* `stk k : Option (Γ k)` is the value of the `k`-th stack, if in range, otherwise `none` (which is
the blank value). Note that the head of the stack is at the far end; this is so that push and pop
don't have to do any shifting.
In "resting" position, the TM is sitting at the position marked `bottom`. For non-stack actions,
| it operates in place, but for the stack actions `push`, `peek`, and `pop`, it must shuttle to the
end of the appropriate stack, make its changes, and then return to the bottom. So the states are:
* `normal (l : Λ)`: waiting at `bottom` to execute function `l`
| Mathlib/Computability/TuringMachine.lean | 314 | 317 |
/-
Copyright (c) 2021 Kexing Ying. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kexing Ying, Eric Wieser
-/
import Mathlib.Data.Real.Basic
import Mathlib.Tactic.NormNum.Inv
/-!
# Real sign function
This file introduces and contains some results about `Real.sign` which maps negative
real numbers to -1, positive real numbers to 1, and 0 to 0.
## Main definitions
* `Real.sign r` is $\begin{cases} -1 & \text{if } r < 0, \\
~~\, 0 & \text{if } r = 0, \\
~~\, 1 & \text{if } r > 0. \end{cases}$
## Tags
sign function
-/
namespace Real
/-- The sign function that maps negative real numbers to -1, positive numbers to 1, and 0
otherwise. -/
noncomputable def sign (r : ℝ) : ℝ :=
if r < 0 then -1 else if 0 < r then 1 else 0
theorem sign_of_neg {r : ℝ} (hr : r < 0) : sign r = -1 := by rw [sign, if_pos hr]
theorem sign_of_pos {r : ℝ} (hr : 0 < r) : sign r = 1 := by rw [sign, if_pos hr, if_neg hr.not_lt]
@[simp]
theorem sign_zero : sign 0 = 0 := by rw [sign, if_neg (lt_irrefl _), if_neg (lt_irrefl _)]
@[simp]
theorem sign_one : sign 1 = 1 :=
sign_of_pos <| by norm_num
theorem sign_apply_eq (r : ℝ) : sign r = -1 ∨ sign r = 0 ∨ sign r = 1 := by
obtain hn | rfl | hp := lt_trichotomy r (0 : ℝ)
· exact Or.inl <| sign_of_neg hn
· exact Or.inr <| Or.inl <| sign_zero
· exact Or.inr <| Or.inr <| sign_of_pos hp
/-- This lemma is useful for working with `ℝˣ` -/
| theorem sign_apply_eq_of_ne_zero (r : ℝ) (h : r ≠ 0) : sign r = -1 ∨ sign r = 1 :=
h.lt_or_lt.imp sign_of_neg sign_of_pos
@[simp]
theorem sign_eq_zero_iff {r : ℝ} : sign r = 0 ↔ r = 0 := by
| Mathlib/Data/Real/Sign.lean | 52 | 56 |
/-
Copyright (c) 2023 Oliver Nash. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Oliver Nash, Deepro Choudhury, Scott Carnahan
-/
import Mathlib.LinearAlgebra.PerfectPairing.Basic
import Mathlib.LinearAlgebra.Reflection
/-!
# Root data and root systems
This file contains basic definitions for root systems and root data.
## Main definitions:
* `RootPairing`: Given two perfectly-paired `R`-modules `M` and `N` (over some commutative ring
`R`) a root pairing with indexing set `ι` is the data of an `ι`-indexed subset of `M`
("the roots") an `ι`-indexed subset of `N` ("the coroots"), and an `ι`-indexed set of
permutations of `ι` such that each root-coroot pair evaluates to `2`, and the permutation
attached to each element of `ι` is compatible with the reflections on the corresponding roots and
coroots.
* `RootDatum`: A root datum is a root pairing for which the roots and coroots take values in
finitely-generated free Abelian groups.
* `RootSystem`: A root system is a root pairing for which the roots span their ambient module.
## Implementation details
A root datum is sometimes defined as two subsets: roots and coroots, together with a bijection
between them, subject to hypotheses. However the hypotheses ensure that the bijection is unique and
so the question arises of whether this bijection should be part of the data of a root datum or
whether one should merely assert its existence. For root systems, things are even more extreme: the
coroots are uniquely determined by the roots. Furthermore a root system induces a canonical
non-degenerate bilinear form on the ambient space and many informal accounts even include this form
as part of the data.
We have opted for a design in which some of the uniquely-determined data is included: the bijection
between roots and coroots is (implicitly) included and the coroots are included for root systems.
Empirically this seems to be by far the most convenient design and by providing extensionality
lemmas expressing the uniqueness we expect to get the best of both worlds.
Furthermore, we require roots and coroots to be injections from a base indexing type `ι` rather than
subsets of their codomains. This design was chosen to avoid the bijection between roots and coroots
being a dependently-typed object. A third option would be to have the roots and coroots be subsets
but to avoid having a dependently-typed bijection by defining it globally with junk value `0`
outside of the roots and coroots. This would work but lacks the convenient symmetry that the chosen
design enjoys: by introducing the indexing type `ι`, one does not have to pick a direction
(`roots → coroots` or `coroots → roots`) for the forward direction of the bijection. Besides,
providing the user with the additional definitional power to specify an indexing type `ι` is a
benefit and the junk-value pattern is a cost.
As a final point of divergence from the classical literature, we make the reflection permutation on
roots and coroots explicit, rather than specifying only that reflection preserves the sets of roots
and coroots. This is necessary when working with infinite root systems, where the coroots are not
uniquely determined by the roots, because without it, the reflection permutations on roots and
coroots may not correspond. For this purpose, we define a map from `ι` to permutations on `ι`, and
require that it is compatible with reflections and coreflections.
-/
open Set Function
open Module hiding reflection
open Submodule (span)
open AddSubgroup (zmultiples)
noncomputable section
variable (ι R M N : Type*)
[CommRing R] [AddCommGroup M] [Module R M] [AddCommGroup N] [Module R N]
/-- Given two perfectly-paired `R`-modules `M` and `N`, a root pairing with indexing set `ι`
is the data of an `ι`-indexed subset of `M` ("the roots"), an `ι`-indexed subset of `N`
("the coroots"), and an `ι`-indexed set of permutations of `ι`, such that each root-coroot pair
evaluates to `2`, and the permutation attached to each element of `ι` is compatible with the
reflections on the corresponding roots and coroots.
It exists to allow for a convenient unification of the theories of root systems and root data. -/
structure RootPairing extends PerfectPairing R M N where
/-- A parametrized family of vectors, called roots. -/
root : ι ↪ M
/-- A parametrized family of dual vectors, called coroots. -/
coroot : ι ↪ N
root_coroot_two : ∀ i, toLinearMap (root i) (coroot i) = 2
/-- A parametrized family of permutations, induced by reflections. This corresponds to the
classical requirement that the symmetry attached to each root (later defined in
`RootPairing.reflection`) leave the whole set of roots stable: as explained above, we
formalize this stability by fixing the image of the roots through each reflection (whence the
permutation); and similarly for coroots. -/
reflection_perm : ι → (ι ≃ ι)
reflection_perm_root : ∀ i j,
root j - toPerfectPairing (root j) (coroot i) • root i = root (reflection_perm i j)
reflection_perm_coroot : ∀ i j,
coroot j - toPerfectPairing (root i) (coroot j) • coroot i = coroot (reflection_perm i j)
/-- A root datum is a root pairing with coefficients in the integers and for which the root and
coroot spaces are finitely-generated free Abelian groups.
Note that the latter assumptions `[Finite ℤ X₁] [Finite ℤ X₂]` should be supplied as mixins, and
that freeness follows automatically since two finitely-generated Abelian groups in perfect pairing
are necessarily free. Moreover Lean knows this, e.g., via `PerfectPairing.reflexive_left`,
`Module.instNoZeroSMulDivisorsOfIsDomain`, `Module.free_of_finite_type_torsion_free'`. -/
abbrev RootDatum (X₁ X₂ : Type*) [AddCommGroup X₁] [AddCommGroup X₂] := RootPairing ι ℤ X₁ X₂
/-- A root system is a root pairing for which the roots and coroots span their ambient modules.
Note that this is slightly more general than the usual definition in the sense that `N` is not
required to be the dual of `M`. -/
structure RootSystem extends RootPairing ι R M N where
span_root_eq_top : span R (range root) = ⊤
span_coroot_eq_top : span R (range coroot) = ⊤
attribute [simp] RootSystem.span_root_eq_top
attribute [simp] RootSystem.span_coroot_eq_top
namespace RootPairing
variable {ι R M N}
variable (P : RootPairing ι R M N) (i j : ι)
@[simp]
lemma toLinearMap_eq_toPerfectPairing (x : M) (y : N) :
P.toLinearMap x y = P.toPerfectPairing x y := rfl
@[deprecated (since := "2025-04-20")]
alias toLin_toPerfectPairing := toLinearMap_eq_toPerfectPairing
/-- If we interchange the roles of `M` and `N`, we still have a root pairing. -/
protected def flip : RootPairing ι R N M :=
{ P.toPerfectPairing.flip with
root := P.coroot
coroot := P.root
root_coroot_two := P.root_coroot_two
reflection_perm := P.reflection_perm
reflection_perm_root := P.reflection_perm_coroot
reflection_perm_coroot := P.reflection_perm_root }
@[simp]
lemma flip_flip : P.flip.flip = P :=
rfl
variable (ι R M N) in
/-- `RootPairing.flip` as an equivalence. -/
@[simps] def flipEquiv : RootPairing ι R N M ≃ RootPairing ι R M N where
toFun P := P.flip
invFun P := P.flip
left_inv _ := rfl
right_inv _ := rfl
/-- If we interchange the roles of `M` and `N`, we still have a root system. -/
protected def _root_.RootSystem.flip (P : RootSystem ι R M N) : RootSystem ι R N M :=
{ toRootPairing := P.toRootPairing.flip
span_root_eq_top := P.span_coroot_eq_top
span_coroot_eq_top := P.span_root_eq_top }
@[simp]
protected lemma _root_.RootSystem.flip_flip (P : RootSystem ι R M N) :
P.flip.flip = P :=
| rfl
variable (ι R M N) in
| Mathlib/LinearAlgebra/RootSystem/Defs.lean | 157 | 159 |
/-
Copyright (c) 2019 Johan Commelin. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johan Commelin, Kenny Lau, María Inés de Frutos-Fernández, Filippo A. E. Nuccio
-/
import Mathlib.Algebra.Polynomial.FieldDivision
import Mathlib.RingTheory.DiscreteValuationRing.Basic
import Mathlib.RingTheory.MvPowerSeries.Inverse
import Mathlib.RingTheory.PowerSeries.NoZeroDivisors
import Mathlib.RingTheory.LocalRing.ResidueField.Defs
import Mathlib.RingTheory.UniqueFactorizationDomain.Multiplicity
import Mathlib.Data.ENat.Lattice
/-! # Formal power series - Inverses
If the constant coefficient of a formal (univariate) power series is invertible,
then this formal power series is invertible.
(See the discussion in `Mathlib.RingTheory.MvPowerSeries.Inverse` for
the construction.)
Formal (univariate) power series over a local ring form a local ring.
Formal (univariate) power series over a field form a discrete valuation ring, and a normalization
monoid. The definition `residueFieldOfPowerSeries` provides the isomorphism between the residue
field of `k⟦X⟧` and `k`, when `k` is a field.
-/
noncomputable section
open Polynomial
open Finset (antidiagonal mem_antidiagonal)
namespace PowerSeries
open Finsupp (single)
variable {R : Type*}
section Ring
variable [Ring R]
/-- Auxiliary function used for computing inverse of a power series -/
protected def inv.aux : R → R⟦X⟧ → R⟦X⟧ :=
MvPowerSeries.inv.aux
theorem coeff_inv_aux (n : ℕ) (a : R) (φ : R⟦X⟧) :
coeff R n (inv.aux a φ) =
if n = 0 then a
else
-a *
∑ x ∈ antidiagonal n,
if x.2 < n then coeff R x.1 φ * coeff R x.2 (inv.aux a φ) else 0 := by
rw [coeff, inv.aux, MvPowerSeries.coeff_inv_aux]
simp only [Finsupp.single_eq_zero]
split_ifs; · rfl
congr 1
symm
apply Finset.sum_nbij' (fun (a, b) ↦ (single () a, single () b))
fun (f, g) ↦ (f (), g ())
· aesop
· aesop
· aesop
· aesop
· rintro ⟨i, j⟩ _hij
obtain H | H := le_or_lt n j
· aesop
rw [if_pos H, if_pos]
· rfl
refine ⟨?_, fun hh ↦ H.not_le ?_⟩
· rintro ⟨⟩
simpa [Finsupp.single_eq_same] using le_of_lt H
· simpa [Finsupp.single_eq_same] using hh ()
/-- A formal power series is invertible if the constant coefficient is invertible. -/
def invOfUnit (φ : R⟦X⟧) (u : Rˣ) : R⟦X⟧ :=
MvPowerSeries.invOfUnit φ u
theorem coeff_invOfUnit (n : ℕ) (φ : R⟦X⟧) (u : Rˣ) :
coeff R n (invOfUnit φ u) =
if n = 0 then ↑u⁻¹
else
-↑u⁻¹ *
∑ x ∈ antidiagonal n,
if x.2 < n then coeff R x.1 φ * coeff R x.2 (invOfUnit φ u) else 0 :=
coeff_inv_aux n (↑u⁻¹ : R) φ
@[simp]
theorem constantCoeff_invOfUnit (φ : R⟦X⟧) (u : Rˣ) :
constantCoeff R (invOfUnit φ u) = ↑u⁻¹ := by
rw [← coeff_zero_eq_constantCoeff_apply, coeff_invOfUnit, if_pos rfl]
@[simp]
theorem mul_invOfUnit (φ : R⟦X⟧) (u : Rˣ) (h : constantCoeff R φ = u) :
φ * invOfUnit φ u = 1 :=
MvPowerSeries.mul_invOfUnit φ u <| h
@[simp]
theorem invOfUnit_mul (φ : R⟦X⟧) (u : Rˣ) (h : constantCoeff R φ = u) :
invOfUnit φ u * φ = 1 :=
MvPowerSeries.invOfUnit_mul φ u h
theorem isUnit_iff_constantCoeff {φ : R⟦X⟧} :
IsUnit φ ↔ IsUnit (constantCoeff R φ) :=
MvPowerSeries.isUnit_iff_constantCoeff
/-- Two ways of removing the constant coefficient of a power series are the same. -/
theorem sub_const_eq_shift_mul_X (φ : R⟦X⟧) :
φ - C R (constantCoeff R φ) = (mk fun p ↦ coeff R (p + 1) φ) * X :=
sub_eq_iff_eq_add.mpr (eq_shift_mul_X_add_const φ)
theorem sub_const_eq_X_mul_shift (φ : R⟦X⟧) :
φ - C R (constantCoeff R φ) = X * mk fun p ↦ coeff R (p + 1) φ :=
sub_eq_iff_eq_add.mpr (eq_X_mul_shift_add_const φ)
end Ring
section Field
variable {k : Type*} [Field k]
/-- The inverse 1/f of a power series f defined over a field -/
protected def inv : k⟦X⟧ → k⟦X⟧ :=
MvPowerSeries.inv
instance : Inv k⟦X⟧ := ⟨PowerSeries.inv⟩
theorem inv_eq_inv_aux (φ : k⟦X⟧) : φ⁻¹ = inv.aux (constantCoeff k φ)⁻¹ φ :=
rfl
theorem coeff_inv (n) (φ : k⟦X⟧) :
coeff k n φ⁻¹ =
if n = 0 then (constantCoeff k φ)⁻¹
else
-(constantCoeff k φ)⁻¹ *
∑ x ∈ antidiagonal n,
if x.2 < n then coeff k x.1 φ * coeff k x.2 φ⁻¹ else 0 := by
rw [inv_eq_inv_aux, coeff_inv_aux n (constantCoeff k φ)⁻¹ φ]
@[simp]
theorem constantCoeff_inv (φ : k⟦X⟧) : constantCoeff k φ⁻¹ = (constantCoeff k φ)⁻¹ :=
MvPowerSeries.constantCoeff_inv φ
theorem inv_eq_zero {φ : k⟦X⟧} : φ⁻¹ = 0 ↔ constantCoeff k φ = 0 :=
MvPowerSeries.inv_eq_zero
theorem zero_inv : (0 : k⟦X⟧)⁻¹ = 0 :=
MvPowerSeries.zero_inv
@[simp]
theorem invOfUnit_eq (φ : k⟦X⟧) (h : constantCoeff k φ ≠ 0) :
invOfUnit φ (Units.mk0 _ h) = φ⁻¹ :=
MvPowerSeries.invOfUnit_eq _ _
@[simp]
theorem invOfUnit_eq' (φ : k⟦X⟧) (u : Units k) (h : constantCoeff k φ = u) :
invOfUnit φ u = φ⁻¹ :=
MvPowerSeries.invOfUnit_eq' φ _ h
@[simp]
protected theorem mul_inv_cancel (φ : k⟦X⟧) (h : constantCoeff k φ ≠ 0) : φ * φ⁻¹ = 1 :=
MvPowerSeries.mul_inv_cancel φ h
@[simp]
protected theorem inv_mul_cancel (φ : k⟦X⟧) (h : constantCoeff k φ ≠ 0) : φ⁻¹ * φ = 1 :=
MvPowerSeries.inv_mul_cancel φ h
theorem eq_mul_inv_iff_mul_eq {φ₁ φ₂ φ₃ : k⟦X⟧} (h : constantCoeff k φ₃ ≠ 0) :
φ₁ = φ₂ * φ₃⁻¹ ↔ φ₁ * φ₃ = φ₂ :=
MvPowerSeries.eq_mul_inv_iff_mul_eq h
theorem eq_inv_iff_mul_eq_one {φ ψ : k⟦X⟧} (h : constantCoeff k ψ ≠ 0) :
φ = ψ⁻¹ ↔ φ * ψ = 1 :=
MvPowerSeries.eq_inv_iff_mul_eq_one h
theorem inv_eq_iff_mul_eq_one {φ ψ : k⟦X⟧} (h : constantCoeff k ψ ≠ 0) :
ψ⁻¹ = φ ↔ φ * ψ = 1 :=
MvPowerSeries.inv_eq_iff_mul_eq_one h
protected theorem mul_inv_rev (φ ψ : k⟦X⟧) : (φ * ψ)⁻¹ = ψ⁻¹ * φ⁻¹ :=
MvPowerSeries.mul_inv_rev _ _
instance : InvOneClass k⟦X⟧ :=
{ inferInstanceAs <| InvOneClass <| MvPowerSeries Unit k with }
@[simp]
theorem C_inv (r : k) : (C k r)⁻¹ = C k r⁻¹ :=
MvPowerSeries.C_inv _
@[simp]
theorem X_inv : (X : k⟦X⟧)⁻¹ = 0 :=
MvPowerSeries.X_inv _
theorem smul_inv (r : k) (φ : k⟦X⟧) : (r • φ)⁻¹ = r⁻¹ • φ⁻¹ :=
MvPowerSeries.smul_inv _ _
/-- `firstUnitCoeff` is the non-zero coefficient whose index is `f.order`, seen as a unit of the
field. It is obtained using `divided_by_X_pow_order`, defined in `PowerSeries.Order`. -/
def firstUnitCoeff {f : k⟦X⟧} (hf : f ≠ 0) : kˣ :=
have : Invertible (constantCoeff k (divXPowOrder f)) := by
apply invertibleOfNonzero
simpa [constantCoeff_divXPowOrder_eq_zero_iff.not]
unitOfInvertible (constantCoeff k (divXPowOrder f))
/-- `Inv_divided_by_X_pow_order` is the inverse of the element obtained by diving a non-zero power
series by the largest power of `X` dividing it. Useful to create a term of type `Units`, done in
`Unit_divided_by_X_pow_order` -/
def Inv_divided_by_X_pow_order {f : k⟦X⟧} (hf : f ≠ 0) : k⟦X⟧ :=
invOfUnit (divXPowOrder f) (firstUnitCoeff hf)
@[simp]
theorem Inv_divided_by_X_pow_order_rightInv {f : k⟦X⟧} (hf : f ≠ 0) :
divXPowOrder f * Inv_divided_by_X_pow_order hf = 1 :=
mul_invOfUnit (divXPowOrder f) (firstUnitCoeff hf) rfl
@[simp]
theorem Inv_divided_by_X_pow_order_leftInv {f : k⟦X⟧} (hf : f ≠ 0) :
Inv_divided_by_X_pow_order hf * divXPowOrder f = 1 := by
rw [mul_comm]
exact mul_invOfUnit (divXPowOrder f) (firstUnitCoeff hf) rfl
open scoped Classical in
/-- `Unit_of_divided_by_X_pow_order` is the unit power series obtained by dividing a non-zero
power series by the largest power of `X` that divides it. -/
def Unit_of_divided_by_X_pow_order (f : k⟦X⟧) : k⟦X⟧ˣ :=
if hf : f = 0 then 1
else
{ val := divXPowOrder f
inv := Inv_divided_by_X_pow_order hf
val_inv := Inv_divided_by_X_pow_order_rightInv hf
inv_val := Inv_divided_by_X_pow_order_leftInv hf }
theorem isUnit_divided_by_X_pow_order {f : k⟦X⟧} (hf : f ≠ 0) :
IsUnit (divXPowOrder f) :=
⟨Unit_of_divided_by_X_pow_order f,
by simp only [Unit_of_divided_by_X_pow_order, dif_neg hf, Units.val_mk]⟩
theorem Unit_of_divided_by_X_pow_order_nonzero {f : k⟦X⟧} (hf : f ≠ 0) :
↑(Unit_of_divided_by_X_pow_order f) = divXPowOrder f := by
simp only [Unit_of_divided_by_X_pow_order, dif_neg hf, Units.val_mk]
@[simp]
theorem Unit_of_divided_by_X_pow_order_zero : Unit_of_divided_by_X_pow_order (0 : k⟦X⟧) = 1 := by
simp only [Unit_of_divided_by_X_pow_order, dif_pos]
theorem eq_divided_by_X_pow_order_Iff_Unit {f : k⟦X⟧} (hf : f ≠ 0) :
f = divXPowOrder f ↔ IsUnit f :=
⟨fun h ↦ by rw [h]; exact isUnit_divided_by_X_pow_order hf, fun h ↦ by
have : f.order = 0 := by
simp [order_zero_of_unit h]
conv_lhs => rw [← X_pow_order_mul_divXPowOrder (f := f), this, ENat.toNat_zero,
pow_zero, one_mul]⟩
end Field
section IsLocalRing
variable {S : Type*} [CommRing R] [CommRing S] (f : R →+* S) [IsLocalHom f]
@[instance]
theorem map.isLocalHom : IsLocalHom (map f) :=
MvPowerSeries.map.isLocalHom f
variable [IsLocalRing R]
instance : IsLocalRing R⟦X⟧ :=
{ inferInstanceAs <| IsLocalRing <| MvPowerSeries Unit R with }
end IsLocalRing
section IsDiscreteValuationRing
variable {k : Type*} [Field k]
|
open IsDiscreteValuationRing
| Mathlib/RingTheory/PowerSeries/Inverse.lean | 280 | 281 |
/-
Copyright (c) 2021 Damiano Testa. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Chris Hughes, Johannes Hölzl, Kim Morrison, Damiano Testa, Jens Wagemaker
-/
import Mathlib.Algebra.MonoidAlgebra.Division
import Mathlib.Algebra.Polynomial.Degree.Operations
import Mathlib.Algebra.Polynomial.EraseLead
import Mathlib.Order.Interval.Finset.Nat
/-!
# Induction on polynomials
This file contains lemmas dealing with different flavours of induction on polynomials.
-/
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] {p q : R[X]}
/-- `divX p` returns a polynomial `q` such that `q * X + C (p.coeff 0) = p`.
It can be used in a semiring where the usual division algorithm is not possible -/
def divX (p : R[X]) : R[X] :=
⟨AddMonoidAlgebra.divOf p.toFinsupp 1⟩
@[simp]
theorem coeff_divX : (divX p).coeff n = p.coeff (n + 1) := by
rw [add_comm]; cases p; rfl
theorem divX_mul_X_add (p : R[X]) : divX p * X + C (p.coeff 0) = p :=
ext <| by rintro ⟨_ | _⟩ <;> simp [coeff_C, Nat.succ_ne_zero, coeff_mul_X]
@[simp]
theorem X_mul_divX_add (p : R[X]) : X * divX p + C (p.coeff 0) = p :=
ext <| by rintro ⟨_ | _⟩ <;> simp [coeff_C, Nat.succ_ne_zero, coeff_mul_X]
@[simp]
theorem divX_C (a : R) : divX (C a) = 0 :=
ext fun n => by simp [coeff_divX, coeff_C, Finsupp.single_eq_of_ne _]
theorem divX_eq_zero_iff : divX p = 0 ↔ p = C (p.coeff 0) :=
⟨fun h => by simpa [eq_comm, h] using divX_mul_X_add p, fun h => by rw [h, divX_C]⟩
theorem divX_add : divX (p + q) = divX p + divX q :=
ext <| by simp
@[simp]
theorem divX_zero : divX (0 : R[X]) = 0 := leadingCoeff_eq_zero.mp rfl
@[simp]
theorem divX_one : divX (1 : R[X]) = 0 := by
ext
simpa only [coeff_divX, coeff_zero] using coeff_one
@[simp]
theorem divX_C_mul : divX (C a * p) = C a * divX p := by
ext
simp
theorem divX_X_pow : divX (X ^ n : R[X]) = if (n = 0) then 0 else X ^ (n - 1) := by
cases n
· simp
· ext n
simp [coeff_X_pow]
/-- `divX` as an additive homomorphism. -/
noncomputable
def divX_hom : R[X] →+ R[X] :=
{ toFun := divX
map_zero' := divX_zero
map_add' := fun _ _ => divX_add }
@[simp] theorem divX_hom_toFun : divX_hom p = divX p := rfl
theorem natDegree_divX_eq_natDegree_tsub_one : p.divX.natDegree = p.natDegree - 1 := by
apply map_natDegree_eq_sub (φ := divX_hom)
· intro f
simpa [divX_hom, divX_eq_zero_iff] using eq_C_of_natDegree_eq_zero
· intros n c c0
rw [← C_mul_X_pow_eq_monomial, divX_hom_toFun, divX_C_mul, divX_X_pow]
split_ifs with n0
· simp [n0]
· exact natDegree_C_mul_X_pow (n - 1) c c0
theorem natDegree_divX_le : p.divX.natDegree ≤ p.natDegree :=
natDegree_divX_eq_natDegree_tsub_one.trans_le (Nat.pred_le _)
theorem divX_C_mul_X_pow : divX (C a * X ^ n) = if n = 0 then 0 else C a * X ^ (n - 1) := by
simp only [divX_C_mul, divX_X_pow, mul_ite, mul_zero]
theorem degree_divX_lt (hp0 : p ≠ 0) : (divX p).degree < p.degree := by
haveI := Nontrivial.of_polynomial_ne hp0
calc
degree (divX p) < (divX p * X + C (p.coeff 0)).degree :=
if h : degree p ≤ 0 then by
have h' : C (p.coeff 0) ≠ 0 := by rwa [← eq_C_of_degree_le_zero h]
rw [eq_C_of_degree_le_zero h, divX_C, degree_zero, zero_mul, zero_add]
exact lt_of_le_of_ne bot_le (Ne.symm (mt degree_eq_bot.1 <| by simpa using h'))
else by
have hXp0 : divX p ≠ 0 := by
simpa [divX_eq_zero_iff, -not_le, degree_le_zero_iff] using h
have : leadingCoeff (divX p) * leadingCoeff X ≠ 0 := by simpa
have : degree (C (p.coeff 0)) < degree (divX p * X) :=
calc
degree (C (p.coeff 0)) ≤ 0 := degree_C_le
_ < 1 := by decide
_ = degree (X : R[X]) := degree_X.symm
_ ≤ degree (divX p * X) := by
rw [← zero_add (degree X), degree_mul' this]
exact add_le_add
(by rw [zero_le_degree_iff, Ne, divX_eq_zero_iff]
exact fun h0 => h (h0.symm ▸ degree_C_le))
le_rfl
rw [degree_add_eq_left_of_degree_lt this]; exact degree_lt_degree_mul_X hXp0
_ = degree p := congr_arg _ (divX_mul_X_add _)
/-- An induction principle for polynomials, valued in Sort* instead of Prop. -/
@[elab_as_elim]
noncomputable def recOnHorner {M : R[X] → Sort*} (p : R[X]) (M0 : M 0)
(MC : ∀ p a, coeff p 0 = 0 → a ≠ 0 → M p → M (p + C a))
(MX : ∀ p, p ≠ 0 → M p → M (p * X)) : M p :=
letI := Classical.decEq R
if hp : p = 0 then hp ▸ M0
else by
have wf : degree (divX p) < degree p := degree_divX_lt hp
rw [← divX_mul_X_add p] at *
exact
if hcp0 : coeff p 0 = 0 then by
rw [hcp0, C_0, add_zero]
exact
MX _ (fun h : divX p = 0 => by simp [h, hcp0] at hp) (recOnHorner (divX p) M0 MC MX)
else
MC _ _ (coeff_mul_X_zero _) hcp0
(if hpX0 : divX p = 0 then show M (divX p * X) by rw [hpX0, zero_mul]; exact M0
else MX (divX p) hpX0 (recOnHorner _ M0 MC MX))
termination_by p.degree
/-- A property holds for all polynomials of positive `degree` with coefficients in a semiring `R`
if it holds for
* `a * X`, with `a ∈ R`,
* `p * X`, with `p ∈ R[X]`,
* `p + a`, with `a ∈ R`, `p ∈ R[X]`,
with appropriate restrictions on each term.
See `natDegree_ne_zero_induction_on` for a similar statement involving no explicit multiplication.
-/
@[elab_as_elim]
theorem degree_pos_induction_on {P : R[X] → Prop} (p : R[X]) (h0 : 0 < degree p)
(hC : ∀ {a}, a ≠ 0 → P (C a * X)) (hX : ∀ {p}, 0 < degree p → P p → P (p * X))
(hadd : ∀ {p} {a}, 0 < degree p → P p → P (p + C a)) : P p :=
recOnHorner p (fun h => by rw [degree_zero] at h; exact absurd h (by decide))
(fun p a heq0 _ ih h0 =>
(have : 0 < degree p :=
(lt_of_not_ge fun h =>
not_lt_of_ge (degree_C_le (a := a)) <|
by rwa [eq_C_of_degree_le_zero h, ← C_add,heq0,zero_add] at h0)
hadd this (ih this)))
(fun p _ ih h0' =>
if h0 : 0 < degree p then hX h0 (ih h0)
else by
rw [eq_C_of_degree_le_zero (le_of_not_gt h0)] at h0' ⊢
exact hC fun h : coeff p 0 = 0 => by simp [h, Nat.not_lt_zero] at h0')
h0
/-- A property holds for all polynomials of non-zero `natDegree` with coefficients in a
semiring `R` if it holds for
* `p + a`, with `a ∈ R`, `p ∈ R[X]`,
* `p + q`, with `p, q ∈ R[X]`,
* monomials with nonzero coefficient and non-zero exponent,
with appropriate restrictions on each term.
Note that multiplication is "hidden" in the assumption on monomials, so there is no explicit
multiplication in the statement.
See `degree_pos_induction_on` for a similar statement involving more explicit multiplications.
-/
@[elab_as_elim]
theorem natDegree_ne_zero_induction_on {M : R[X] → Prop} {f : R[X]} (f0 : f.natDegree ≠ 0)
(h_C_add : ∀ {a p}, M p → M (C a + p)) (h_add : ∀ {p q}, M p → M q → M (p + q))
(h_monomial : ∀ {n : ℕ} {a : R}, a ≠ 0 → n ≠ 0 → M (monomial n a)) : M f := by
suffices f.natDegree = 0 ∨ M f from Or.recOn this (fun h => (f0 h).elim) id
refine Polynomial.induction_on f ?_ ?_ ?_
· exact fun a => Or.inl (natDegree_C _)
· rintro p q (hp | hp) (hq | hq)
· refine Or.inl ?_
rw [eq_C_of_natDegree_eq_zero hp, eq_C_of_natDegree_eq_zero hq, ← C_add, natDegree_C]
· refine Or.inr ?_
rw [eq_C_of_natDegree_eq_zero hp]
exact h_C_add hq
· refine Or.inr ?_
rw [eq_C_of_natDegree_eq_zero hq, add_comm]
exact h_C_add hp
· exact Or.inr (h_add hp hq)
· intro n a _
by_cases a0 : a = 0
| · exact Or.inl (by rw [a0, C_0, zero_mul, natDegree_zero])
· refine Or.inr ?_
rw [C_mul_X_pow_eq_monomial]
exact h_monomial a0 n.succ_ne_zero
end Semiring
end Polynomial
| Mathlib/Algebra/Polynomial/Inductions.lean | 207 | 228 |
/-
Copyright (c) 2022 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov
-/
import Mathlib.Order.Filter.Lift
import Mathlib.Order.Interval.Set.Monotone
import Mathlib.Topology.Separation.Basic
/-!
# Topology on the set of filters on a type
This file introduces a topology on `Filter α`. It is generated by the sets
`Set.Iic (𝓟 s) = {l : Filter α | s ∈ l}`, `s : Set α`. A set `s : Set (Filter α)` is open if and
only if it is a union of a family of these basic open sets, see `Filter.isOpen_iff`.
This topology has the following important properties.
* If `X` is a topological space, then the map `𝓝 : X → Filter X` is a topology inducing map.
* In particular, it is a continuous map, so `𝓝 ∘ f` tends to `𝓝 (𝓝 a)` whenever `f` tends to `𝓝 a`.
* If `X` is an ordered topological space with order topology and no max element, then `𝓝 ∘ f` tends
to `𝓝 Filter.atTop` whenever `f` tends to `Filter.atTop`.
* It turns `Filter X` into a T₀ space and the order on `Filter X` is the dual of the
`specializationOrder (Filter X)`.
## Tags
filter, topological space
-/
open Set Filter TopologicalSpace
open Filter Topology
variable {ι : Sort*} {α β X Y : Type*}
namespace Filter
/-- The topology on `Filter α` is generated by the sets `Set.Iic (𝓟 s) = {l : Filter α | s ∈ l}`,
`s : Set α`. A set `s : Set (Filter α)` is open if and only if it is a union of a family of these
basic open sets, see `Filter.isOpen_iff`. -/
instance : TopologicalSpace (Filter α) :=
generateFrom <| range <| Iic ∘ 𝓟
theorem isOpen_Iic_principal {s : Set α} : IsOpen (Iic (𝓟 s)) :=
GenerateOpen.basic _ (mem_range_self _)
theorem isOpen_setOf_mem {s : Set α} : IsOpen { l : Filter α | s ∈ l } := by
simpa only [Iic_principal] using isOpen_Iic_principal
| theorem isTopologicalBasis_Iic_principal :
IsTopologicalBasis (range (Iic ∘ 𝓟 : Set α → Set (Filter α))) :=
| Mathlib/Topology/Filter.lean | 55 | 56 |
/-
Copyright (c) 2019 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Mario Carneiro
-/
import Mathlib.Algebra.Order.Ring.Defs
import Mathlib.Algebra.Order.Ring.Unbundled.Rat
/-!
# The rational numbers form a linear ordered field
This file constructs the order on `ℚ` and proves that `ℚ` is a discrete, linearly ordered
commutative ring.
`ℚ` is in fact a linearly ordered field, but this fact is located in `Data.Rat.Field` instead of
here because we need the order on `ℚ` to define `ℚ≥0`, which we itself need to define `Field`.
## Tags
rat, rationals, field, ℚ, numerator, denominator, num, denom, order, ordering
-/
assert_not_exists Field Finset Set.Icc GaloisConnection
namespace Rat
instance instIsOrderedAddMonoid : IsOrderedAddMonoid ℚ where
add_le_add_left := fun _ _ ab _ => Rat.add_le_add_left.2 ab
instance instZeroLEOneClass : ZeroLEOneClass ℚ where
zero_le_one := by decide
instance instIsStrictOrderedRing : IsStrictOrderedRing ℚ := .of_mul_pos fun _ _ ha hb ↦
(Rat.mul_nonneg ha.le hb.le).lt_of_ne' (mul_ne_zero ha.ne' hb.ne')
end Rat
| Mathlib/Algebra/Order/Ring/Rat.lean | 139 | 140 | |
/-
Copyright (c) 2023 Peter Nelson. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Peter Nelson
-/
import Mathlib.SetTheory.Cardinal.Finite
import Mathlib.Data.Set.Finite.Powerset
/-!
# Noncomputable Set Cardinality
We define the cardinality of set `s` as a term `Set.encard s : ℕ∞` and a term `Set.ncard s : ℕ`.
The latter takes the junk value of zero if `s` is infinite. Both functions are noncomputable, and
are defined in terms of `ENat.card` (which takes a type as its argument); this file can be seen
as an API for the same function in the special case where the type is a coercion of a `Set`,
allowing for smoother interactions with the `Set` API.
`Set.encard` never takes junk values, so is more mathematically natural than `Set.ncard`, even
though it takes values in a less convenient type. It is probably the right choice in settings where
one is concerned with the cardinalities of sets that may or may not be infinite.
`Set.ncard` has a nicer codomain, but when using it, `Set.Finite` hypotheses are normally needed to
make sure its values are meaningful. More generally, `Set.ncard` is intended to be used over the
obvious alternative `Finset.card` when finiteness is 'propositional' rather than 'structural'.
When working with sets that are finite by virtue of their definition, then `Finset.card` probably
makes more sense. One setting where `Set.ncard` works nicely is in a type `α` with `[Finite α]`,
where every set is automatically finite. In this setting, we use default arguments and a simple
tactic so that finiteness goals are discharged automatically in `Set.ncard` theorems.
## Main Definitions
* `Set.encard s` is the cardinality of the set `s` as an extended natural number, with value `⊤` if
`s` is infinite.
* `Set.ncard s` is the cardinality of the set `s` as a natural number, provided `s` is Finite.
If `s` is Infinite, then `Set.ncard s = 0`.
* `toFinite_tac` is a tactic that tries to synthesize a `Set.Finite s` argument with
`Set.toFinite`. This will work for `s : Set α` where there is a `Finite α` instance.
## Implementation Notes
The theorems in this file are very similar to those in `Data.Finset.Card`, but with `Set` operations
instead of `Finset`. We first prove all the theorems for `Set.encard`, and then derive most of the
`Set.ncard` results as a consequence. Things are done this way to avoid reliance on the `Finset` API
for theorems about infinite sets, and to allow for a refactor that removes or modifies `Set.ncard`
in the future.
Nearly all the theorems for `Set.ncard` require finiteness of one or more of their arguments. We
provide this assumption with a default argument of the form `(hs : s.Finite := by toFinite_tac)`,
where `toFinite_tac` will find an `s.Finite` term in the cases where `s` is a set in a `Finite`
type.
Often, where there are two set arguments `s` and `t`, the finiteness of one follows from the other
in the context of the theorem, in which case we only include the ones that are needed, and derive
the other inside the proof. A few of the theorems, such as `ncard_union_le` do not require
finiteness arguments; they are true by coincidence due to junk values.
-/
namespace Set
variable {α β : Type*} {s t : Set α}
/-- The cardinality of a set as a term in `ℕ∞` -/
noncomputable def encard (s : Set α) : ℕ∞ := ENat.card s
@[simp] theorem encard_univ_coe (s : Set α) : encard (univ : Set s) = encard s := by
rw [encard, encard, ENat.card_congr (Equiv.Set.univ ↑s)]
theorem encard_univ (α : Type*) :
encard (univ : Set α) = ENat.card α := by
rw [encard, ENat.card_congr (Equiv.Set.univ α)]
theorem Finite.encard_eq_coe_toFinset_card (h : s.Finite) : s.encard = h.toFinset.card := by
have := h.fintype
rw [encard, ENat.card_eq_coe_fintype_card, toFinite_toFinset, toFinset_card]
theorem encard_eq_coe_toFinset_card (s : Set α) [Fintype s] : encard s = s.toFinset.card := by
have h := toFinite s
rw [h.encard_eq_coe_toFinset_card, toFinite_toFinset]
@[simp] theorem toENat_cardinalMk (s : Set α) : (Cardinal.mk s).toENat = s.encard := rfl
theorem toENat_cardinalMk_subtype (P : α → Prop) :
(Cardinal.mk {x // P x}).toENat = {x | P x}.encard :=
rfl
@[simp] theorem coe_fintypeCard (s : Set α) [Fintype s] : Fintype.card s = s.encard := by
simp [encard_eq_coe_toFinset_card]
@[simp, norm_cast] theorem encard_coe_eq_coe_finsetCard (s : Finset α) :
encard (s : Set α) = s.card := by
rw [Finite.encard_eq_coe_toFinset_card (Finset.finite_toSet s)]; simp
@[simp] theorem Infinite.encard_eq {s : Set α} (h : s.Infinite) : s.encard = ⊤ := by
have := h.to_subtype
rw [encard, ENat.card_eq_top_of_infinite]
@[simp] theorem encard_eq_zero : s.encard = 0 ↔ s = ∅ := by
rw [encard, ENat.card_eq_zero_iff_empty, isEmpty_subtype, eq_empty_iff_forall_not_mem]
@[simp] theorem encard_empty : (∅ : Set α).encard = 0 := by
rw [encard_eq_zero]
theorem nonempty_of_encard_ne_zero (h : s.encard ≠ 0) : s.Nonempty := by
rwa [nonempty_iff_ne_empty, Ne, ← encard_eq_zero]
theorem encard_ne_zero : s.encard ≠ 0 ↔ s.Nonempty := by
rw [ne_eq, encard_eq_zero, nonempty_iff_ne_empty]
@[simp] theorem encard_pos : 0 < s.encard ↔ s.Nonempty := by
rw [pos_iff_ne_zero, encard_ne_zero]
protected alias ⟨_, Nonempty.encard_pos⟩ := encard_pos
@[simp] theorem encard_singleton (e : α) : ({e} : Set α).encard = 1 := by
rw [encard, ENat.card_eq_coe_fintype_card, Fintype.card_ofSubsingleton, Nat.cast_one]
theorem encard_union_eq (h : Disjoint s t) : (s ∪ t).encard = s.encard + t.encard := by
classical
simp [encard, ENat.card_congr (Equiv.Set.union h)]
theorem encard_insert_of_not_mem {a : α} (has : a ∉ s) : (insert a s).encard = s.encard + 1 := by
rw [← union_singleton, encard_union_eq (by simpa), encard_singleton]
theorem Finite.encard_lt_top (h : s.Finite) : s.encard < ⊤ := by
induction s, h using Set.Finite.induction_on with
| empty => simp
| insert hat _ ht' =>
rw [encard_insert_of_not_mem hat]
exact lt_tsub_iff_right.1 ht'
theorem Finite.encard_eq_coe (h : s.Finite) : s.encard = ENat.toNat s.encard :=
(ENat.coe_toNat h.encard_lt_top.ne).symm
theorem Finite.exists_encard_eq_coe (h : s.Finite) : ∃ (n : ℕ), s.encard = n :=
⟨_, h.encard_eq_coe⟩
@[simp] theorem encard_lt_top_iff : s.encard < ⊤ ↔ s.Finite :=
⟨fun h ↦ by_contra fun h' ↦ h.ne (Infinite.encard_eq h'), Finite.encard_lt_top⟩
@[simp] theorem encard_eq_top_iff : s.encard = ⊤ ↔ s.Infinite := by
rw [← not_iff_not, ← Ne, ← lt_top_iff_ne_top, encard_lt_top_iff, not_infinite]
alias ⟨_, encard_eq_top⟩ := encard_eq_top_iff
theorem encard_ne_top_iff : s.encard ≠ ⊤ ↔ s.Finite := by
simp
theorem finite_of_encard_le_coe {k : ℕ} (h : s.encard ≤ k) : s.Finite := by
rw [← encard_lt_top_iff]; exact h.trans_lt (WithTop.coe_lt_top _)
theorem finite_of_encard_eq_coe {k : ℕ} (h : s.encard = k) : s.Finite :=
finite_of_encard_le_coe h.le
theorem encard_le_coe_iff {k : ℕ} : s.encard ≤ k ↔ s.Finite ∧ ∃ (n₀ : ℕ), s.encard = n₀ ∧ n₀ ≤ k :=
⟨fun h ↦ ⟨finite_of_encard_le_coe h, by rwa [ENat.le_coe_iff] at h⟩,
fun ⟨_,⟨n₀,hs, hle⟩⟩ ↦ by rwa [hs, Nat.cast_le]⟩
@[simp]
theorem encard_prod : (s ×ˢ t).encard = s.encard * t.encard := by
simp [Set.encard, ENat.card_congr (Equiv.Set.prod ..)]
section Lattice
theorem encard_le_encard (h : s ⊆ t) : s.encard ≤ t.encard := by
rw [← union_diff_cancel h, encard_union_eq disjoint_sdiff_right]; exact le_self_add
@[deprecated (since := "2025-01-05")] alias encard_le_card := encard_le_encard
theorem encard_mono {α : Type*} : Monotone (encard : Set α → ℕ∞) :=
fun _ _ ↦ encard_le_encard
theorem encard_diff_add_encard_of_subset (h : s ⊆ t) : (t \ s).encard + s.encard = t.encard := by
rw [← encard_union_eq disjoint_sdiff_left, diff_union_self, union_eq_self_of_subset_right h]
@[simp] theorem one_le_encard_iff_nonempty : 1 ≤ s.encard ↔ s.Nonempty := by
rw [nonempty_iff_ne_empty, Ne, ← encard_eq_zero, ENat.one_le_iff_ne_zero]
theorem encard_diff_add_encard_inter (s t : Set α) :
(s \ t).encard + (s ∩ t).encard = s.encard := by
rw [← encard_union_eq (disjoint_of_subset_right inter_subset_right disjoint_sdiff_left),
diff_union_inter]
theorem encard_union_add_encard_inter (s t : Set α) :
(s ∪ t).encard + (s ∩ t).encard = s.encard + t.encard := by
rw [← diff_union_self, encard_union_eq disjoint_sdiff_left, add_right_comm,
encard_diff_add_encard_inter]
theorem encard_eq_encard_iff_encard_diff_eq_encard_diff (h : (s ∩ t).Finite) :
s.encard = t.encard ↔ (s \ t).encard = (t \ s).encard := by
rw [← encard_diff_add_encard_inter s t, ← encard_diff_add_encard_inter t s, inter_comm t s,
WithTop.add_right_inj h.encard_lt_top.ne]
theorem encard_le_encard_iff_encard_diff_le_encard_diff (h : (s ∩ t).Finite) :
s.encard ≤ t.encard ↔ (s \ t).encard ≤ (t \ s).encard := by
rw [← encard_diff_add_encard_inter s t, ← encard_diff_add_encard_inter t s, inter_comm t s,
WithTop.add_le_add_iff_right h.encard_lt_top.ne]
theorem encard_lt_encard_iff_encard_diff_lt_encard_diff (h : (s ∩ t).Finite) :
s.encard < t.encard ↔ (s \ t).encard < (t \ s).encard := by
rw [← encard_diff_add_encard_inter s t, ← encard_diff_add_encard_inter t s, inter_comm t s,
WithTop.add_lt_add_iff_right h.encard_lt_top.ne]
theorem encard_union_le (s t : Set α) : (s ∪ t).encard ≤ s.encard + t.encard := by
rw [← encard_union_add_encard_inter]; exact le_self_add
theorem finite_iff_finite_of_encard_eq_encard (h : s.encard = t.encard) : s.Finite ↔ t.Finite := by
rw [← encard_lt_top_iff, ← encard_lt_top_iff, h]
theorem infinite_iff_infinite_of_encard_eq_encard (h : s.encard = t.encard) :
s.Infinite ↔ t.Infinite := by rw [← encard_eq_top_iff, h, encard_eq_top_iff]
theorem Finite.finite_of_encard_le {s : Set α} {t : Set β} (hs : s.Finite)
(h : t.encard ≤ s.encard) : t.Finite :=
encard_lt_top_iff.1 (h.trans_lt hs.encard_lt_top)
lemma Finite.eq_of_subset_of_encard_le' (ht : t.Finite) (hst : s ⊆ t) (hts : t.encard ≤ s.encard) :
s = t := by
rw [← zero_add (a := encard s), ← encard_diff_add_encard_of_subset hst] at hts
have hdiff := WithTop.le_of_add_le_add_right (ht.subset hst).encard_lt_top.ne hts
rw [nonpos_iff_eq_zero, encard_eq_zero, diff_eq_empty] at hdiff
exact hst.antisymm hdiff
theorem Finite.eq_of_subset_of_encard_le (hs : s.Finite) (hst : s ⊆ t)
(hts : t.encard ≤ s.encard) : s = t :=
(hs.finite_of_encard_le hts).eq_of_subset_of_encard_le' hst hts
theorem Finite.encard_lt_encard (hs : s.Finite) (h : s ⊂ t) : s.encard < t.encard :=
(encard_mono h.subset).lt_of_ne fun he ↦ h.ne (hs.eq_of_subset_of_encard_le h.subset he.symm.le)
theorem encard_strictMono [Finite α] : StrictMono (encard : Set α → ℕ∞) :=
fun _ _ h ↦ (toFinite _).encard_lt_encard h
theorem encard_diff_add_encard (s t : Set α) : (s \ t).encard + t.encard = (s ∪ t).encard := by
rw [← encard_union_eq disjoint_sdiff_left, diff_union_self]
theorem encard_le_encard_diff_add_encard (s t : Set α) : s.encard ≤ (s \ t).encard + t.encard :=
(encard_mono subset_union_left).trans_eq (encard_diff_add_encard _ _).symm
theorem tsub_encard_le_encard_diff (s t : Set α) : s.encard - t.encard ≤ (s \ t).encard := by
rw [tsub_le_iff_left, add_comm]; apply encard_le_encard_diff_add_encard
theorem encard_add_encard_compl (s : Set α) : s.encard + sᶜ.encard = (univ : Set α).encard := by
rw [← encard_union_eq disjoint_compl_right, union_compl_self]
end Lattice
section InsertErase
variable {a b : α}
theorem encard_insert_le (s : Set α) (x : α) : (insert x s).encard ≤ s.encard + 1 := by
rw [← union_singleton, ← encard_singleton x]; apply encard_union_le
theorem encard_singleton_inter (s : Set α) (x : α) : ({x} ∩ s).encard ≤ 1 := by
rw [← encard_singleton x]; exact encard_le_encard inter_subset_left
theorem encard_diff_singleton_add_one (h : a ∈ s) :
(s \ {a}).encard + 1 = s.encard := by
rw [← encard_insert_of_not_mem (fun h ↦ h.2 rfl), insert_diff_singleton, insert_eq_of_mem h]
theorem encard_diff_singleton_of_mem (h : a ∈ s) :
(s \ {a}).encard = s.encard - 1 := by
rw [← encard_diff_singleton_add_one h, ← WithTop.add_right_inj WithTop.one_ne_top,
tsub_add_cancel_of_le (self_le_add_left _ _)]
theorem encard_tsub_one_le_encard_diff_singleton (s : Set α) (x : α) :
s.encard - 1 ≤ (s \ {x}).encard := by
rw [← encard_singleton x]; apply tsub_encard_le_encard_diff
theorem encard_exchange (ha : a ∉ s) (hb : b ∈ s) : (insert a (s \ {b})).encard = s.encard := by
rw [encard_insert_of_not_mem, encard_diff_singleton_add_one hb]
simp_all only [not_true, mem_diff, mem_singleton_iff, false_and, not_false_eq_true]
theorem encard_exchange' (ha : a ∉ s) (hb : b ∈ s) : (insert a s \ {b}).encard = s.encard := by
rw [← insert_diff_singleton_comm (by rintro rfl; exact ha hb), encard_exchange ha hb]
theorem encard_eq_add_one_iff {k : ℕ∞} :
s.encard = k + 1 ↔ (∃ a t, ¬a ∈ t ∧ insert a t = s ∧ t.encard = k) := by
refine ⟨fun h ↦ ?_, ?_⟩
· obtain ⟨a, ha⟩ := nonempty_of_encard_ne_zero (s := s) (by simp [h])
refine ⟨a, s \ {a}, fun h ↦ h.2 rfl, by rwa [insert_diff_singleton, insert_eq_of_mem], ?_⟩
rw [← WithTop.add_right_inj WithTop.one_ne_top, ← h,
encard_diff_singleton_add_one ha]
rintro ⟨a, t, h, rfl, rfl⟩
rw [encard_insert_of_not_mem h]
/-- Every set is either empty, infinite, or can have its `encard` reduced by a removal. Intended
for well-founded induction on the value of `encard`. -/
theorem eq_empty_or_encard_eq_top_or_encard_diff_singleton_lt (s : Set α) :
s = ∅ ∨ s.encard = ⊤ ∨ ∃ a ∈ s, (s \ {a}).encard < s.encard := by
refine s.eq_empty_or_nonempty.elim Or.inl (Or.inr ∘ fun ⟨a,ha⟩ ↦
(s.finite_or_infinite.elim (fun hfin ↦ Or.inr ⟨a, ha, ?_⟩) (Or.inl ∘ Infinite.encard_eq)))
rw [← encard_diff_singleton_add_one ha]; nth_rw 1 [← add_zero (encard _)]
exact WithTop.add_lt_add_left hfin.diff.encard_lt_top.ne zero_lt_one
end InsertErase
section SmallSets
theorem encard_pair {x y : α} (hne : x ≠ y) : ({x, y} : Set α).encard = 2 := by
rw [encard_insert_of_not_mem (by simpa), ← one_add_one_eq_two,
WithTop.add_right_inj WithTop.one_ne_top, encard_singleton]
theorem encard_eq_one : s.encard = 1 ↔ ∃ x, s = {x} := by
refine ⟨fun h ↦ ?_, fun ⟨x, hx⟩ ↦ by rw [hx, encard_singleton]⟩
obtain ⟨x, hx⟩ := nonempty_of_encard_ne_zero (s := s) (by rw [h]; simp)
exact ⟨x, ((finite_singleton x).eq_of_subset_of_encard_le (by simpa) (by simp [h])).symm⟩
theorem encard_le_one_iff_eq : s.encard ≤ 1 ↔ s = ∅ ∨ ∃ x, s = {x} := by
rw [le_iff_lt_or_eq, lt_iff_not_le, ENat.one_le_iff_ne_zero, not_not, encard_eq_zero,
encard_eq_one]
theorem encard_le_one_iff : s.encard ≤ 1 ↔ ∀ a b, a ∈ s → b ∈ s → a = b := by
rw [encard_le_one_iff_eq, or_iff_not_imp_left, ← Ne, ← nonempty_iff_ne_empty]
refine ⟨fun h a b has hbs ↦ ?_,
fun h ⟨x, hx⟩ ↦ ⟨x, ((singleton_subset_iff.2 hx).antisymm' (fun y hy ↦ h _ _ hy hx))⟩⟩
obtain ⟨x, rfl⟩ := h ⟨_, has⟩
rw [(has : a = x), (hbs : b = x)]
theorem encard_le_one_iff_subsingleton : s.encard ≤ 1 ↔ s.Subsingleton := by
rw [encard_le_one_iff, Set.Subsingleton]
tauto
theorem one_lt_encard_iff_nontrivial : 1 < s.encard ↔ s.Nontrivial := by
rw [← not_iff_not, not_lt, Set.not_nontrivial_iff, ← encard_le_one_iff_subsingleton]
theorem one_lt_encard_iff : 1 < s.encard ↔ ∃ a b, a ∈ s ∧ b ∈ s ∧ a ≠ b := by
rw [← not_iff_not, not_exists, not_lt, encard_le_one_iff]; aesop
theorem exists_ne_of_one_lt_encard (h : 1 < s.encard) (a : α) : ∃ b ∈ s, b ≠ a := by
by_contra! h'
obtain ⟨b, b', hb, hb', hne⟩ := one_lt_encard_iff.1 h
apply hne
rw [h' b hb, h' b' hb']
theorem encard_eq_two : s.encard = 2 ↔ ∃ x y, x ≠ y ∧ s = {x, y} := by
refine ⟨fun h ↦ ?_, fun ⟨x, y, hne, hs⟩ ↦ by rw [hs, encard_pair hne]⟩
obtain ⟨x, hx⟩ := nonempty_of_encard_ne_zero (s := s) (by rw [h]; simp)
rw [← insert_eq_of_mem hx, ← insert_diff_singleton, encard_insert_of_not_mem (fun h ↦ h.2 rfl),
← one_add_one_eq_two, WithTop.add_right_inj (WithTop.one_ne_top), encard_eq_one] at h
obtain ⟨y, h⟩ := h
refine ⟨x, y, by rintro rfl; exact (h.symm.subset rfl).2 rfl, ?_⟩
rw [← h, insert_diff_singleton, insert_eq_of_mem hx]
theorem encard_eq_three {α : Type u_1} {s : Set α} :
encard s = 3 ↔ ∃ x y z, x ≠ y ∧ x ≠ z ∧ y ≠ z ∧ s = {x, y, z} := by
refine ⟨fun h ↦ ?_, fun ⟨x, y, z, hxy, hyz, hxz, hs⟩ ↦ ?_⟩
· obtain ⟨x, hx⟩ := nonempty_of_encard_ne_zero (s := s) (by rw [h]; simp)
rw [← insert_eq_of_mem hx, ← insert_diff_singleton,
encard_insert_of_not_mem (fun h ↦ h.2 rfl), (by exact rfl : (3 : ℕ∞) = 2 + 1),
WithTop.add_right_inj WithTop.one_ne_top, encard_eq_two] at h
obtain ⟨y, z, hne, hs⟩ := h
refine ⟨x, y, z, ?_, ?_, hne, ?_⟩
· rintro rfl; exact (hs.symm.subset (Or.inl rfl)).2 rfl
· rintro rfl; exact (hs.symm.subset (Or.inr rfl)).2 rfl
rw [← hs, insert_diff_singleton, insert_eq_of_mem hx]
rw [hs, encard_insert_of_not_mem, encard_insert_of_not_mem, encard_singleton] <;> aesop
theorem Nat.encard_range (k : ℕ) : {i | i < k}.encard = k := by
convert encard_coe_eq_coe_finsetCard (Finset.range k) using 1
· rw [Finset.coe_range, Iio_def]
rw [Finset.card_range]
end SmallSets
theorem Finite.eq_insert_of_subset_of_encard_eq_succ (hs : s.Finite) (h : s ⊆ t)
(hst : t.encard = s.encard + 1) : ∃ a, t = insert a s := by
rw [← encard_diff_add_encard_of_subset h, add_comm, WithTop.add_left_inj hs.encard_lt_top.ne,
encard_eq_one] at hst
obtain ⟨x, hx⟩ := hst; use x; rw [← diff_union_of_subset h, hx, singleton_union]
theorem exists_subset_encard_eq {k : ℕ∞} (hk : k ≤ s.encard) : ∃ t, t ⊆ s ∧ t.encard = k := by
revert hk
refine ENat.nat_induction k (fun _ ↦ ⟨∅, empty_subset _, by simp⟩) (fun n IH hle ↦ ?_) ?_
· obtain ⟨t₀, ht₀s, ht₀⟩ := IH (le_trans (by simp) hle)
simp only [Nat.cast_succ] at *
have hne : t₀ ≠ s := by
rintro rfl; rw [ht₀, ← Nat.cast_one, ← Nat.cast_add, Nat.cast_le] at hle; simp at hle
obtain ⟨x, hx⟩ := exists_of_ssubset (ht₀s.ssubset_of_ne hne)
exact ⟨insert x t₀, insert_subset hx.1 ht₀s, by rw [encard_insert_of_not_mem hx.2, ht₀]⟩
simp only [top_le_iff, encard_eq_top_iff]
exact fun _ hi ↦ ⟨s, Subset.rfl, hi⟩
theorem exists_superset_subset_encard_eq {k : ℕ∞}
(hst : s ⊆ t) (hsk : s.encard ≤ k) (hkt : k ≤ t.encard) :
∃ r, s ⊆ r ∧ r ⊆ t ∧ r.encard = k := by
obtain (hs | hs) := eq_or_ne s.encard ⊤
· rw [hs, top_le_iff] at hsk; subst hsk; exact ⟨s, Subset.rfl, hst, hs⟩
obtain ⟨k, rfl⟩ := exists_add_of_le hsk
obtain ⟨k', hk'⟩ := exists_add_of_le hkt
have hk : k ≤ encard (t \ s) := by
rw [← encard_diff_add_encard_of_subset hst, add_comm] at hkt
exact WithTop.le_of_add_le_add_right hs hkt
obtain ⟨r', hr', rfl⟩ := exists_subset_encard_eq hk
refine ⟨s ∪ r', subset_union_left, union_subset hst (hr'.trans diff_subset), ?_⟩
rw [encard_union_eq (disjoint_of_subset_right hr' disjoint_sdiff_right)]
section Function
variable {s : Set α} {t : Set β} {f : α → β}
theorem InjOn.encard_image (h : InjOn f s) : (f '' s).encard = s.encard := by
rw [encard, ENat.card_image_of_injOn h, encard]
theorem encard_congr (e : s ≃ t) : s.encard = t.encard := by
rw [← encard_univ_coe, ← encard_univ_coe t, encard_univ, encard_univ, ENat.card_congr e]
theorem _root_.Function.Injective.encard_image (hf : f.Injective) (s : Set α) :
(f '' s).encard = s.encard :=
hf.injOn.encard_image
theorem _root_.Function.Embedding.encard_le (e : s ↪ t) : s.encard ≤ t.encard := by
rw [← encard_univ_coe, ← e.injective.encard_image, ← Subtype.coe_injective.encard_image]
exact encard_mono (by simp)
theorem encard_image_le (f : α → β) (s : Set α) : (f '' s).encard ≤ s.encard := by
obtain (h | h) := isEmpty_or_nonempty α
· rw [s.eq_empty_of_isEmpty]; simp
rw [← (f.invFunOn_injOn_image s).encard_image]
apply encard_le_encard
exact f.invFunOn_image_image_subset s
theorem Finite.injOn_of_encard_image_eq (hs : s.Finite) (h : (f '' s).encard = s.encard) :
InjOn f s := by
obtain (h' | hne) := isEmpty_or_nonempty α
· rw [s.eq_empty_of_isEmpty]; simp
rw [← (f.invFunOn_injOn_image s).encard_image] at h
rw [injOn_iff_invFunOn_image_image_eq_self]
exact hs.eq_of_subset_of_encard_le' (f.invFunOn_image_image_subset s) h.symm.le
theorem encard_preimage_of_injective_subset_range (hf : f.Injective) (ht : t ⊆ range f) :
(f ⁻¹' t).encard = t.encard := by
rw [← hf.encard_image, image_preimage_eq_inter_range, inter_eq_self_of_subset_left ht]
lemma encard_preimage_of_bijective (hf : f.Bijective) (t : Set β) : (f ⁻¹' t).encard = t.encard :=
encard_preimage_of_injective_subset_range hf.injective (by simp [hf.surjective.range_eq])
theorem encard_le_encard_of_injOn (hf : MapsTo f s t) (f_inj : InjOn f s) :
s.encard ≤ t.encard := by
rw [← f_inj.encard_image]; apply encard_le_encard; rintro _ ⟨x, hx, rfl⟩; exact hf hx
theorem Finite.exists_injOn_of_encard_le [Nonempty β] {s : Set α} {t : Set β} (hs : s.Finite)
(hle : s.encard ≤ t.encard) : ∃ (f : α → β), s ⊆ f ⁻¹' t ∧ InjOn f s := by
classical
obtain (rfl | h | ⟨a, has, -⟩) := s.eq_empty_or_encard_eq_top_or_encard_diff_singleton_lt
· simp
· exact (encard_ne_top_iff.mpr hs h).elim
obtain ⟨b, hbt⟩ := encard_pos.1 ((encard_pos.2 ⟨_, has⟩).trans_le hle)
have hle' : (s \ {a}).encard ≤ (t \ {b}).encard := by
rwa [← WithTop.add_le_add_iff_right WithTop.one_ne_top,
encard_diff_singleton_add_one has, encard_diff_singleton_add_one hbt]
obtain ⟨f₀, hf₀s, hinj⟩ := exists_injOn_of_encard_le hs.diff hle'
simp only [preimage_diff, subset_def, mem_diff, mem_singleton_iff, mem_preimage, and_imp] at hf₀s
use Function.update f₀ a b
rw [← insert_eq_of_mem has, ← insert_diff_singleton, injOn_insert (fun h ↦ h.2 rfl)]
simp only [mem_diff, mem_singleton_iff, not_true, and_false, insert_diff_singleton, subset_def,
mem_insert_iff, mem_preimage, ne_eq, Function.update_apply, forall_eq_or_imp, ite_true, and_imp,
mem_image, ite_eq_left_iff, not_exists, not_and, not_forall, exists_prop, and_iff_right hbt]
refine ⟨?_, ?_, fun x hxs hxa ↦ ⟨hxa, (hf₀s x hxs hxa).2⟩⟩
· rintro x hx; split_ifs with h
· assumption
· exact (hf₀s x hx h).1
exact InjOn.congr hinj (fun x ⟨_, hxa⟩ ↦ by rwa [Function.update_of_ne])
termination_by encard s
theorem Finite.exists_bijOn_of_encard_eq [Nonempty β] (hs : s.Finite) (h : s.encard = t.encard) :
∃ (f : α → β), BijOn f s t := by
obtain ⟨f, hf, hinj⟩ := hs.exists_injOn_of_encard_le h.le; use f
convert hinj.bijOn_image
rw [(hs.image f).eq_of_subset_of_encard_le (image_subset_iff.mpr hf)
(h.symm.trans hinj.encard_image.symm).le]
end Function
section ncard
open Nat
/-- A tactic (for use in default params) that applies `Set.toFinite` to synthesize a `Set.Finite`
term. -/
syntax "toFinite_tac" : tactic
macro_rules
| `(tactic| toFinite_tac) => `(tactic| apply Set.toFinite)
/-- A tactic useful for transferring proofs for `encard` to their corresponding `card` statements -/
syntax "to_encard_tac" : tactic
macro_rules
| `(tactic| to_encard_tac) => `(tactic|
simp only [← Nat.cast_le (α := ℕ∞), ← Nat.cast_inj (R := ℕ∞), Nat.cast_add, Nat.cast_one])
/-- The cardinality of `s : Set α` . Has the junk value `0` if `s` is infinite -/
noncomputable def ncard (s : Set α) : ℕ := ENat.toNat s.encard
theorem ncard_def (s : Set α) : s.ncard = ENat.toNat s.encard := rfl
theorem Finite.cast_ncard_eq (hs : s.Finite) : s.ncard = s.encard := by
rwa [ncard, ENat.coe_toNat_eq_self, ne_eq, encard_eq_top_iff, Set.Infinite, not_not]
lemma ncard_le_encard (s : Set α) : s.ncard ≤ s.encard := ENat.coe_toNat_le_self _
theorem Nat.card_coe_set_eq (s : Set α) : Nat.card s = s.ncard := by
obtain (h | h) := s.finite_or_infinite
· have := h.fintype
rw [ncard, h.encard_eq_coe_toFinset_card, Nat.card_eq_fintype_card,
toFinite_toFinset, toFinset_card, ENat.toNat_coe]
have := infinite_coe_iff.2 h
rw [ncard, h.encard_eq, Nat.card_eq_zero_of_infinite, ENat.toNat_top]
theorem ncard_eq_toFinset_card (s : Set α) (hs : s.Finite := by toFinite_tac) :
s.ncard = hs.toFinset.card := by
rw [← Nat.card_coe_set_eq, @Nat.card_eq_fintype_card _ hs.fintype,
@Finite.card_toFinset _ _ hs.fintype hs]
theorem ncard_eq_toFinset_card' (s : Set α) [Fintype s] :
s.ncard = s.toFinset.card := by
simp [← Nat.card_coe_set_eq, Nat.card_eq_fintype_card]
lemma cast_ncard {s : Set α} (hs : s.Finite) :
(s.ncard : Cardinal) = Cardinal.mk s := @Nat.cast_card _ hs
theorem encard_le_coe_iff_finite_ncard_le {k : ℕ} : s.encard ≤ k ↔ s.Finite ∧ s.ncard ≤ k := by
rw [encard_le_coe_iff, and_congr_right_iff]
exact fun hfin ↦ ⟨fun ⟨n₀, hn₀, hle⟩ ↦ by rwa [ncard_def, hn₀, ENat.toNat_coe],
fun h ↦ ⟨s.ncard, by rw [hfin.cast_ncard_eq], h⟩⟩
theorem Infinite.ncard (hs : s.Infinite) : s.ncard = 0 := by
rw [← Nat.card_coe_set_eq, @Nat.card_eq_zero_of_infinite _ hs.to_subtype]
@[gcongr]
theorem ncard_le_ncard (hst : s ⊆ t) (ht : t.Finite := by toFinite_tac) :
s.ncard ≤ t.ncard := by
rw [← Nat.cast_le (α := ℕ∞), ht.cast_ncard_eq, (ht.subset hst).cast_ncard_eq]
exact encard_mono hst
theorem ncard_mono [Finite α] : @Monotone (Set α) _ _ _ ncard := fun _ _ ↦ ncard_le_ncard
@[simp] theorem ncard_eq_zero (hs : s.Finite := by toFinite_tac) :
s.ncard = 0 ↔ s = ∅ := by
rw [← Nat.cast_inj (R := ℕ∞), hs.cast_ncard_eq, Nat.cast_zero, encard_eq_zero]
@[simp, norm_cast] theorem ncard_coe_Finset (s : Finset α) : (s : Set α).ncard = s.card := by
rw [ncard_eq_toFinset_card _, Finset.finite_toSet_toFinset]
theorem ncard_univ (α : Type*) : (univ : Set α).ncard = Nat.card α := by
rcases finite_or_infinite α with h | h
· have hft := Fintype.ofFinite α
rw [ncard_eq_toFinset_card, Finite.toFinset_univ, Finset.card_univ, Nat.card_eq_fintype_card]
rw [Nat.card_eq_zero_of_infinite, Infinite.ncard]
exact infinite_univ
@[simp] theorem ncard_empty (α : Type*) : (∅ : Set α).ncard = 0 := by
rw [ncard_eq_zero]
theorem ncard_pos (hs : s.Finite := by toFinite_tac) : 0 < s.ncard ↔ s.Nonempty := by
rw [pos_iff_ne_zero, Ne, ncard_eq_zero hs, nonempty_iff_ne_empty]
protected alias ⟨_, Nonempty.ncard_pos⟩ := ncard_pos
theorem ncard_ne_zero_of_mem {a : α} (h : a ∈ s) (hs : s.Finite := by toFinite_tac) : s.ncard ≠ 0 :=
((ncard_pos hs).mpr ⟨a, h⟩).ne.symm
theorem finite_of_ncard_ne_zero (hs : s.ncard ≠ 0) : s.Finite :=
s.finite_or_infinite.elim id fun h ↦ (hs h.ncard).elim
theorem finite_of_ncard_pos (hs : 0 < s.ncard) : s.Finite :=
finite_of_ncard_ne_zero hs.ne.symm
theorem nonempty_of_ncard_ne_zero (hs : s.ncard ≠ 0) : s.Nonempty := by
rw [nonempty_iff_ne_empty]; rintro rfl; simp at hs
@[simp] theorem ncard_singleton (a : α) : ({a} : Set α).ncard = 1 := by
simp [ncard]
theorem ncard_singleton_inter (a : α) (s : Set α) : ({a} ∩ s).ncard ≤ 1 := by
rw [← Nat.cast_le (α := ℕ∞), (toFinite _).cast_ncard_eq, Nat.cast_one]
apply encard_singleton_inter
@[simp]
theorem ncard_prod : (s ×ˢ t).ncard = s.ncard * t.ncard := by
simp [ncard, ENat.toNat_mul]
@[simp]
theorem ncard_powerset (s : Set α) (hs : s.Finite := by toFinite_tac) :
(𝒫 s).ncard = 2 ^ s.ncard := by
have h := Cardinal.mk_powerset s
rw [← cast_ncard hs.powerset, ← cast_ncard hs] at h
norm_cast at h
section InsertErase
@[simp] theorem ncard_insert_of_not_mem {a : α} (h : a ∉ s) (hs : s.Finite := by toFinite_tac) :
(insert a s).ncard = s.ncard + 1 := by
rw [← Nat.cast_inj (R := ℕ∞), (hs.insert a).cast_ncard_eq, Nat.cast_add, Nat.cast_one,
hs.cast_ncard_eq, encard_insert_of_not_mem h]
theorem ncard_insert_of_mem {a : α} (h : a ∈ s) : ncard (insert a s) = s.ncard := by
rw [insert_eq_of_mem h]
theorem ncard_insert_le (a : α) (s : Set α) : (insert a s).ncard ≤ s.ncard + 1 := by
obtain hs | hs := s.finite_or_infinite
· to_encard_tac; rw [hs.cast_ncard_eq, (hs.insert _).cast_ncard_eq]; apply encard_insert_le
rw [(hs.mono (subset_insert a s)).ncard]
exact Nat.zero_le _
theorem ncard_insert_eq_ite {a : α} [Decidable (a ∈ s)] (hs : s.Finite := by toFinite_tac) :
ncard (insert a s) = if a ∈ s then s.ncard else s.ncard + 1 := by
by_cases h : a ∈ s
· rw [ncard_insert_of_mem h, if_pos h]
· rw [ncard_insert_of_not_mem h hs, if_neg h]
theorem ncard_le_ncard_insert (a : α) (s : Set α) : s.ncard ≤ (insert a s).ncard := by
classical
refine
s.finite_or_infinite.elim (fun h ↦ ?_) (fun h ↦ by (rw [h.ncard]; exact Nat.zero_le _))
rw [ncard_insert_eq_ite h]; split_ifs <;> simp
@[simp] theorem ncard_pair {a b : α} (h : a ≠ b) : ({a, b} : Set α).ncard = 2 := by
rw [ncard_insert_of_not_mem, ncard_singleton]; simpa
@[simp] theorem ncard_diff_singleton_add_one {a : α} (h : a ∈ s)
(hs : s.Finite := by toFinite_tac) : (s \ {a}).ncard + 1 = s.ncard := by
to_encard_tac; rw [hs.cast_ncard_eq, hs.diff.cast_ncard_eq,
encard_diff_singleton_add_one h]
@[simp] theorem ncard_diff_singleton_of_mem {a : α} (h : a ∈ s) (hs : s.Finite := by toFinite_tac) :
(s \ {a}).ncard = s.ncard - 1 :=
eq_tsub_of_add_eq (ncard_diff_singleton_add_one h hs)
theorem ncard_diff_singleton_lt_of_mem {a : α} (h : a ∈ s) (hs : s.Finite := by toFinite_tac) :
(s \ {a}).ncard < s.ncard := by
rw [← ncard_diff_singleton_add_one h hs]; apply lt_add_one
theorem ncard_diff_singleton_le (s : Set α) (a : α) : (s \ {a}).ncard ≤ s.ncard := by
obtain hs | hs := s.finite_or_infinite
· apply ncard_le_ncard diff_subset hs
convert zero_le (α := ℕ) _
exact (hs.diff (by simp : Set.Finite {a})).ncard
theorem pred_ncard_le_ncard_diff_singleton (s : Set α) (a : α) : s.ncard - 1 ≤ (s \ {a}).ncard := by
rcases s.finite_or_infinite with hs | hs
· by_cases h : a ∈ s
· rw [ncard_diff_singleton_of_mem h hs]
rw [diff_singleton_eq_self h]
apply Nat.pred_le
convert Nat.zero_le _
rw [hs.ncard]
theorem ncard_exchange {a b : α} (ha : a ∉ s) (hb : b ∈ s) : (insert a (s \ {b})).ncard = s.ncard :=
congr_arg ENat.toNat <| encard_exchange ha hb
theorem ncard_exchange' {a b : α} (ha : a ∉ s) (hb : b ∈ s) :
(insert a s \ {b}).ncard = s.ncard := by
rw [← ncard_exchange ha hb, ← singleton_union, ← singleton_union, union_diff_distrib,
@diff_singleton_eq_self _ b {a} fun h ↦ ha (by rwa [← mem_singleton_iff.mp h])]
lemma odd_card_insert_iff {a : α} (ha : a ∉ s) (hs : s.Finite := by toFinite_tac) :
Odd (insert a s).ncard ↔ Even s.ncard := by
rw [ncard_insert_of_not_mem ha hs, Nat.odd_add]
simp only [Nat.odd_add, ← Nat.not_even_iff_odd, Nat.not_even_one, iff_false, Decidable.not_not]
lemma even_card_insert_iff {a : α} (ha : a ∉ s) (hs : s.Finite := by toFinite_tac) :
Even (insert a s).ncard ↔ Odd s.ncard := by
rw [ncard_insert_of_not_mem ha hs, Nat.even_add_one, Nat.not_even_iff_odd]
end InsertErase
variable {f : α → β}
theorem ncard_image_le (hs : s.Finite := by toFinite_tac) : (f '' s).ncard ≤ s.ncard := by
to_encard_tac; rw [hs.cast_ncard_eq, (hs.image _).cast_ncard_eq]; apply encard_image_le
theorem ncard_image_of_injOn (H : Set.InjOn f s) : (f '' s).ncard = s.ncard :=
congr_arg ENat.toNat <| H.encard_image
theorem injOn_of_ncard_image_eq (h : (f '' s).ncard = s.ncard) (hs : s.Finite := by toFinite_tac) :
Set.InjOn f s := by
rw [← Nat.cast_inj (R := ℕ∞), hs.cast_ncard_eq, (hs.image _).cast_ncard_eq] at h
exact hs.injOn_of_encard_image_eq h
theorem ncard_image_iff (hs : s.Finite := by toFinite_tac) :
(f '' s).ncard = s.ncard ↔ Set.InjOn f s :=
⟨fun h ↦ injOn_of_ncard_image_eq h hs, ncard_image_of_injOn⟩
theorem ncard_image_of_injective (s : Set α) (H : f.Injective) : (f '' s).ncard = s.ncard :=
ncard_image_of_injOn fun _ _ _ _ h ↦ H h
theorem ncard_preimage_of_injective_subset_range {s : Set β} (H : f.Injective)
(hs : s ⊆ Set.range f) :
(f ⁻¹' s).ncard = s.ncard := by
rw [← ncard_image_of_injective _ H, image_preimage_eq_iff.mpr hs]
theorem fiber_ncard_ne_zero_iff_mem_image {y : β} (hs : s.Finite := by toFinite_tac) :
{ x ∈ s | f x = y }.ncard ≠ 0 ↔ y ∈ f '' s := by
refine ⟨nonempty_of_ncard_ne_zero, ?_⟩
rintro ⟨z, hz, rfl⟩
exact @ncard_ne_zero_of_mem _ ({ x ∈ s | f x = f z }) z (mem_sep hz rfl)
(hs.subset (sep_subset _ _))
@[simp] theorem ncard_map (f : α ↪ β) : (f '' s).ncard = s.ncard :=
ncard_image_of_injective _ f.inj'
@[simp] theorem ncard_subtype (P : α → Prop) (s : Set α) :
{ x : Subtype P | (x : α) ∈ s }.ncard = (s ∩ setOf P).ncard := by
convert (ncard_image_of_injective _ (@Subtype.coe_injective _ P)).symm
ext x
simp [← and_assoc, exists_eq_right]
theorem ncard_inter_le_ncard_left (s t : Set α) (hs : s.Finite := by toFinite_tac) :
(s ∩ t).ncard ≤ s.ncard :=
ncard_le_ncard inter_subset_left hs
theorem ncard_inter_le_ncard_right (s t : Set α) (ht : t.Finite := by toFinite_tac) :
(s ∩ t).ncard ≤ t.ncard :=
ncard_le_ncard inter_subset_right ht
theorem eq_of_subset_of_ncard_le (h : s ⊆ t) (h' : t.ncard ≤ s.ncard)
(ht : t.Finite := by toFinite_tac) : s = t :=
ht.eq_of_subset_of_encard_le' h
(by rwa [← Nat.cast_le (α := ℕ∞), ht.cast_ncard_eq, (ht.subset h).cast_ncard_eq] at h')
theorem subset_iff_eq_of_ncard_le (h : t.ncard ≤ s.ncard) (ht : t.Finite := by toFinite_tac) :
s ⊆ t ↔ s = t :=
⟨fun hst ↦ eq_of_subset_of_ncard_le hst h ht, Eq.subset'⟩
theorem map_eq_of_subset {f : α ↪ α} (h : f '' s ⊆ s) (hs : s.Finite := by toFinite_tac) :
f '' s = s :=
eq_of_subset_of_ncard_le h (ncard_map _).ge hs
theorem sep_of_ncard_eq {a : α} {P : α → Prop} (h : { x ∈ s | P x }.ncard = s.ncard) (ha : a ∈ s)
(hs : s.Finite := by toFinite_tac) : P a :=
sep_eq_self_iff_mem_true.mp (eq_of_subset_of_ncard_le (by simp) h.symm.le hs) _ ha
theorem ncard_lt_ncard (h : s ⊂ t) (ht : t.Finite := by toFinite_tac) :
s.ncard < t.ncard := by
rw [← Nat.cast_lt (α := ℕ∞), ht.cast_ncard_eq, (ht.subset h.subset).cast_ncard_eq]
exact (ht.subset h.subset).encard_lt_encard h
theorem ncard_strictMono [Finite α] : @StrictMono (Set α) _ _ _ ncard :=
fun _ _ h ↦ ncard_lt_ncard h
theorem ncard_eq_of_bijective {n : ℕ} (f : ∀ i, i < n → α)
(hf : ∀ a ∈ s, ∃ i, ∃ h : i < n, f i h = a) (hf' : ∀ (i) (h : i < n), f i h ∈ s)
(f_inj : ∀ (i j) (hi : i < n) (hj : j < n), f i hi = f j hj → i = j) : s.ncard = n := by
let f' : Fin n → α := fun i ↦ f i.val i.is_lt
suffices himage : s = f' '' Set.univ by
rw [← Fintype.card_fin n, ← Nat.card_eq_fintype_card, ← Set.ncard_univ, himage]
exact ncard_image_of_injOn <| fun i _hi j _hj h ↦ Fin.ext <| f_inj i.val j.val i.is_lt j.is_lt h
ext x
simp only [image_univ, mem_range]
refine ⟨fun hx ↦ ?_, fun ⟨⟨i, hi⟩, hx⟩ ↦ hx ▸ hf' i hi⟩
obtain ⟨i, hi, rfl⟩ := hf x hx
use ⟨i, hi⟩
theorem ncard_congr {t : Set β} (f : ∀ a ∈ s, β) (h₁ : ∀ a ha, f a ha ∈ t)
(h₂ : ∀ a b ha hb, f a ha = f b hb → a = b) (h₃ : ∀ b ∈ t, ∃ a ha, f a ha = b) :
s.ncard = t.ncard := by
set f' : s → t := fun x ↦ ⟨f x.1 x.2, h₁ _ _⟩
have hbij : f'.Bijective := by
constructor
· rintro ⟨x, hx⟩ ⟨y, hy⟩ hxy
simp only [f', Subtype.mk.injEq] at hxy ⊢
exact h₂ _ _ hx hy hxy
rintro ⟨y, hy⟩
obtain ⟨a, ha, rfl⟩ := h₃ y hy
simp only [Subtype.mk.injEq, Subtype.exists]
exact ⟨_, ha, rfl⟩
simp_rw [← Nat.card_coe_set_eq]
exact Nat.card_congr (Equiv.ofBijective f' hbij)
theorem ncard_le_ncard_of_injOn {t : Set β} (f : α → β) (hf : ∀ a ∈ s, f a ∈ t) (f_inj : InjOn f s)
(ht : t.Finite := by toFinite_tac) :
s.ncard ≤ t.ncard := by
have hle := encard_le_encard_of_injOn hf f_inj
to_encard_tac; rwa [ht.cast_ncard_eq, (ht.finite_of_encard_le hle).cast_ncard_eq]
theorem exists_ne_map_eq_of_ncard_lt_of_maps_to {t : Set β} (hc : t.ncard < s.ncard) {f : α → β}
(hf : ∀ a ∈ s, f a ∈ t) (ht : t.Finite := by toFinite_tac) :
∃ x ∈ s, ∃ y ∈ s, x ≠ y ∧ f x = f y := by
by_contra h'
simp only [Ne, exists_prop, not_exists, not_and, not_imp_not] at h'
exact (ncard_le_ncard_of_injOn f hf h' ht).not_lt hc
theorem le_ncard_of_inj_on_range {n : ℕ} (f : ℕ → α) (hf : ∀ i < n, f i ∈ s)
(f_inj : ∀ i < n, ∀ j < n, f i = f j → i = j) (hs : s.Finite := by toFinite_tac) :
n ≤ s.ncard := by
rw [ncard_eq_toFinset_card _ hs]
apply Finset.le_card_of_inj_on_range <;> simpa
theorem surj_on_of_inj_on_of_ncard_le {t : Set β} (f : ∀ a ∈ s, β) (hf : ∀ a ha, f a ha ∈ t)
(hinj : ∀ a₁ a₂ ha₁ ha₂, f a₁ ha₁ = f a₂ ha₂ → a₁ = a₂) (hst : t.ncard ≤ s.ncard)
(ht : t.Finite := by toFinite_tac) :
∀ b ∈ t, ∃ a ha, b = f a ha := by
intro b hb
set f' : s → t := fun x ↦ ⟨f x.1 x.2, hf _ _⟩
have finj : f'.Injective := by
rintro ⟨x, hx⟩ ⟨y, hy⟩ hxy
simp only [f', Subtype.mk.injEq] at hxy ⊢
apply hinj _ _ hx hy hxy
have hft := ht.fintype
have hft' := Fintype.ofInjective f' finj
set f'' : ∀ a, a ∈ s.toFinset → β := fun a h ↦ f a (by simpa using h)
convert @Finset.surj_on_of_inj_on_of_card_le _ _ _ t.toFinset f'' _ _ _ _ (by simpa) using 1
· simp [f'']
· simp [f'', hf]
· intros a₁ a₂ ha₁ ha₂ h
rw [mem_toFinset] at ha₁ ha₂
exact hinj _ _ ha₁ ha₂ h
rwa [← ncard_eq_toFinset_card', ← ncard_eq_toFinset_card']
theorem inj_on_of_surj_on_of_ncard_le {t : Set β} (f : ∀ a ∈ s, β) (hf : ∀ a ha, f a ha ∈ t)
(hsurj : ∀ b ∈ t, ∃ a ha, f a ha = b) (hst : s.ncard ≤ t.ncard) ⦃a₁⦄ (ha₁ : a₁ ∈ s) ⦃a₂⦄
(ha₂ : a₂ ∈ s) (ha₁a₂ : f a₁ ha₁ = f a₂ ha₂) (hs : s.Finite := by toFinite_tac) :
a₁ = a₂ := by
classical
set f' : s → t := fun x ↦ ⟨f x.1 x.2, hf _ _⟩
have hsurj : f'.Surjective := by
rintro ⟨y, hy⟩
obtain ⟨a, ha, rfl⟩ := hsurj y hy
simp only [Subtype.mk.injEq, Subtype.exists]
exact ⟨_, ha, rfl⟩
haveI := hs.fintype
haveI := Fintype.ofSurjective _ hsurj
set f'' : ∀ a, a ∈ s.toFinset → β := fun a h ↦ f a (by simpa using h)
exact
@Finset.inj_on_of_surj_on_of_card_le _ _ _ t.toFinset f''
(fun a ha ↦ by { rw [mem_toFinset] at ha ⊢; exact hf a ha }) (by simpa)
(by { rwa [← ncard_eq_toFinset_card', ← ncard_eq_toFinset_card'] }) a₁
(by simpa) a₂ (by simpa) (by simpa)
@[simp] theorem ncard_coe {α : Type*} (s : Set α) :
Set.ncard (Set.univ : Set (Set.Elem s)) = s.ncard :=
Set.ncard_congr (fun a ha ↦ ↑a) (fun a ha ↦ a.prop) (by simp) (by simp)
@[simp] lemma ncard_graphOn (s : Set α) (f : α → β) : (s.graphOn f).ncard = s.ncard := by
rw [← ncard_image_of_injOn fst_injOn_graph, image_fst_graphOn]
section Lattice
theorem ncard_union_add_ncard_inter (s t : Set α) (hs : s.Finite := by toFinite_tac)
(ht : t.Finite := by toFinite_tac) : (s ∪ t).ncard + (s ∩ t).ncard = s.ncard + t.ncard := by
to_encard_tac; rw [hs.cast_ncard_eq, ht.cast_ncard_eq, (hs.union ht).cast_ncard_eq,
(hs.subset inter_subset_left).cast_ncard_eq, encard_union_add_encard_inter]
theorem ncard_inter_add_ncard_union (s t : Set α) (hs : s.Finite := by toFinite_tac)
(ht : t.Finite := by toFinite_tac) : (s ∩ t).ncard + (s ∪ t).ncard = s.ncard + t.ncard := by
rw [add_comm, ncard_union_add_ncard_inter _ _ hs ht]
theorem ncard_union_le (s t : Set α) : (s ∪ t).ncard ≤ s.ncard + t.ncard := by
obtain (h | h) := (s ∪ t).finite_or_infinite
· to_encard_tac
rw [h.cast_ncard_eq, (h.subset subset_union_left).cast_ncard_eq,
(h.subset subset_union_right).cast_ncard_eq]
apply encard_union_le
rw [h.ncard]
apply zero_le
theorem ncard_union_eq (h : Disjoint s t) (hs : s.Finite := by toFinite_tac)
(ht : t.Finite := by toFinite_tac) : (s ∪ t).ncard = s.ncard + t.ncard := by
to_encard_tac
rw [hs.cast_ncard_eq, ht.cast_ncard_eq, (hs.union ht).cast_ncard_eq, encard_union_eq h]
theorem ncard_diff_add_ncard_of_subset (h : s ⊆ t) (ht : t.Finite := by toFinite_tac) :
(t \ s).ncard + s.ncard = t.ncard := by
to_encard_tac
rw [ht.cast_ncard_eq, (ht.subset h).cast_ncard_eq, ht.diff.cast_ncard_eq,
encard_diff_add_encard_of_subset h]
theorem ncard_diff (hst : s ⊆ t) (hs : s.Finite := by toFinite_tac) :
(t \ s).ncard = t.ncard - s.ncard := by
obtain ht | ht := t.finite_or_infinite
· rw [← ncard_diff_add_ncard_of_subset hst ht, add_tsub_cancel_right]
· rw [ht.ncard, Nat.zero_sub, (ht.diff hs).ncard]
lemma cast_ncard_sdiff {R : Type*} [AddGroupWithOne R] (hst : s ⊆ t) (ht : t.Finite) :
((t \ s).ncard : R) = t.ncard - s.ncard := by
rw [ncard_diff hst (ht.subset hst), Nat.cast_sub (ncard_le_ncard hst ht)]
theorem ncard_le_ncard_diff_add_ncard (s t : Set α) (ht : t.Finite := by toFinite_tac) :
s.ncard ≤ (s \ t).ncard + t.ncard := by
rcases s.finite_or_infinite with hs | hs
· to_encard_tac
rw [ht.cast_ncard_eq, hs.cast_ncard_eq, hs.diff.cast_ncard_eq]
apply encard_le_encard_diff_add_encard
convert Nat.zero_le _
rw [hs.ncard]
theorem le_ncard_diff (s t : Set α) (hs : s.Finite := by toFinite_tac) :
t.ncard - s.ncard ≤ (t \ s).ncard :=
tsub_le_iff_left.mpr (by rw [add_comm]; apply ncard_le_ncard_diff_add_ncard _ _ hs)
theorem ncard_diff_add_ncard (s t : Set α) (hs : s.Finite := by toFinite_tac)
(ht : t.Finite := by toFinite_tac) :
(s \ t).ncard + t.ncard = (s ∪ t).ncard := by
rw [← ncard_union_eq disjoint_sdiff_left hs.diff ht, diff_union_self]
theorem diff_nonempty_of_ncard_lt_ncard (h : s.ncard < t.ncard) (hs : s.Finite := by toFinite_tac) :
(t \ s).Nonempty := by
rw [Set.nonempty_iff_ne_empty, Ne, diff_eq_empty]
exact fun h' ↦ h.not_le (ncard_le_ncard h' hs)
theorem exists_mem_not_mem_of_ncard_lt_ncard (h : s.ncard < t.ncard)
(hs : s.Finite := by toFinite_tac) : ∃ e, e ∈ t ∧ e ∉ s :=
diff_nonempty_of_ncard_lt_ncard h hs
@[simp] theorem ncard_inter_add_ncard_diff_eq_ncard (s t : Set α)
(hs : s.Finite := by toFinite_tac) : (s ∩ t).ncard + (s \ t).ncard = s.ncard := by
rw [← ncard_union_eq (disjoint_of_subset_left inter_subset_right disjoint_sdiff_right)
(hs.inter_of_left _) hs.diff, union_comm, diff_union_inter]
theorem ncard_eq_ncard_iff_ncard_diff_eq_ncard_diff (hs : s.Finite := by toFinite_tac)
(ht : t.Finite := by toFinite_tac) : s.ncard = t.ncard ↔ (s \ t).ncard = (t \ s).ncard := by
rw [← ncard_inter_add_ncard_diff_eq_ncard s t hs, ← ncard_inter_add_ncard_diff_eq_ncard t s ht,
inter_comm, add_right_inj]
theorem ncard_le_ncard_iff_ncard_diff_le_ncard_diff (hs : s.Finite := by toFinite_tac)
(ht : t.Finite := by toFinite_tac) : s.ncard ≤ t.ncard ↔ (s \ t).ncard ≤ (t \ s).ncard := by
rw [← ncard_inter_add_ncard_diff_eq_ncard s t hs, ← ncard_inter_add_ncard_diff_eq_ncard t s ht,
inter_comm, add_le_add_iff_left]
theorem ncard_lt_ncard_iff_ncard_diff_lt_ncard_diff (hs : s.Finite := by toFinite_tac)
(ht : t.Finite := by toFinite_tac) : s.ncard < t.ncard ↔ (s \ t).ncard < (t \ s).ncard := by
rw [← ncard_inter_add_ncard_diff_eq_ncard s t hs, ← ncard_inter_add_ncard_diff_eq_ncard t s ht,
inter_comm, add_lt_add_iff_left]
theorem ncard_add_ncard_compl (s : Set α) (hs : s.Finite := by toFinite_tac)
(hsc : sᶜ.Finite := by toFinite_tac) : s.ncard + sᶜ.ncard = Nat.card α := by
rw [← ncard_univ, ← ncard_union_eq (@disjoint_compl_right _ _ s) hs hsc, union_compl_self]
theorem eq_univ_iff_ncard [Finite α] (s : Set α) :
s = univ ↔ ncard s = Nat.card α := by
rw [← compl_empty_iff, ← ncard_eq_zero, ← ncard_add_ncard_compl s, left_eq_add]
lemma even_ncard_compl_iff [Finite α] (heven : Even (Nat.card α)) (s : Set α) :
Even sᶜ.ncard ↔ Even s.ncard := by
simp [compl_eq_univ_diff, ncard_diff (subset_univ _ : s ⊆ Set.univ),
Nat.even_sub (ncard_le_ncard (subset_univ _ : s ⊆ Set.univ)),
(ncard_univ _).symm ▸ heven]
lemma odd_ncard_compl_iff [Finite α] (heven : Even (Nat.card α)) (s : Set α) :
Odd sᶜ.ncard ↔ Odd s.ncard := by
rw [← Nat.not_even_iff_odd, even_ncard_compl_iff heven, Nat.not_even_iff_odd]
end Lattice
/-- Given a subset `s` of a set `t`, of sizes at most and at least `n` respectively, there exists a
set `u` of size `n` which is both a superset of `s` and a subset of `t`. -/
lemma exists_subsuperset_card_eq {n : ℕ} (hst : s ⊆ t) (hsn : s.ncard ≤ n) (hnt : n ≤ t.ncard) :
∃ u, s ⊆ u ∧ u ⊆ t ∧ u.ncard = n := by
obtain ht | ht := t.infinite_or_finite
· rw [ht.ncard, Nat.le_zero, ← ht.ncard] at hnt
exact ⟨t, hst, Subset.rfl, hnt.symm⟩
lift s to Finset α using ht.subset hst
lift t to Finset α using ht
obtain ⟨u, hsu, hut, hu⟩ := Finset.exists_subsuperset_card_eq (mod_cast hst) (by simpa using hsn)
(mod_cast hnt)
exact ⟨u, mod_cast hsu, mod_cast hut, mod_cast hu⟩
/-- We can shrink a set to any smaller size. -/
lemma exists_subset_card_eq {n : ℕ} (hns : n ≤ s.ncard) : ∃ t ⊆ s, t.ncard = n := by
simpa using exists_subsuperset_card_eq s.empty_subset (by simp) hns
theorem Infinite.exists_subset_ncard_eq {s : Set α} (hs : s.Infinite) (k : ℕ) :
∃ t, t ⊆ s ∧ t.Finite ∧ t.ncard = k := by
have := hs.to_subtype
obtain ⟨t', -, rfl⟩ := @Infinite.exists_subset_card_eq s univ infinite_univ k
refine ⟨Subtype.val '' (t' : Set s), by simp, Finite.image _ (by simp), ?_⟩
rw [ncard_image_of_injective _ Subtype.coe_injective]
simp
theorem Infinite.exists_superset_ncard_eq {s t : Set α} (ht : t.Infinite) (hst : s ⊆ t)
(hs : s.Finite) {k : ℕ} (hsk : s.ncard ≤ k) : ∃ s', s ⊆ s' ∧ s' ⊆ t ∧ s'.ncard = k := by
obtain ⟨s₁, hs₁, hs₁fin, hs₁card⟩ := (ht.diff hs).exists_subset_ncard_eq (k - s.ncard)
refine ⟨s ∪ s₁, subset_union_left, union_subset hst (hs₁.trans diff_subset), ?_⟩
rwa [ncard_union_eq (disjoint_of_subset_right hs₁ disjoint_sdiff_right) hs hs₁fin, hs₁card,
add_tsub_cancel_of_le]
theorem exists_subset_or_subset_of_two_mul_lt_ncard {n : ℕ} (hst : 2 * n < (s ∪ t).ncard) :
∃ r : Set α, n < r.ncard ∧ (r ⊆ s ∨ r ⊆ t) := by
classical
| have hu := finite_of_ncard_ne_zero ((Nat.zero_le _).trans_lt hst).ne.symm
rw [ncard_eq_toFinset_card _ hu,
Finite.toFinset_union (hu.subset subset_union_left)
(hu.subset subset_union_right)] at hst
obtain ⟨r', hnr', hr'⟩ := Finset.exists_subset_or_subset_of_two_mul_lt_card hst
exact ⟨r', by simpa, by simpa using hr'⟩
| Mathlib/Data/Set/Card.lean | 986 | 991 |
/-
Copyright (c) 2019 Alexander Bentkamp. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Alexander Bentkamp, Yury Kudryashov, Yaël Dillies
-/
import Mathlib.Algebra.Order.Invertible
import Mathlib.Algebra.Order.Module.OrderedSMul
import Mathlib.LinearAlgebra.AffineSpace.Midpoint
import Mathlib.LinearAlgebra.LinearIndependent.Lemmas
import Mathlib.LinearAlgebra.Ray
import Mathlib.Tactic.GCongr
/-!
# Segments in vector spaces
In a 𝕜-vector space, we define the following objects and properties.
* `segment 𝕜 x y`: Closed segment joining `x` and `y`.
* `openSegment 𝕜 x y`: Open segment joining `x` and `y`.
## Notations
We provide the following notation:
* `[x -[𝕜] y] = segment 𝕜 x y` in locale `Convex`
## TODO
Generalize all this file to affine spaces.
Should we rename `segment` and `openSegment` to `convex.Icc` and `convex.Ioo`? Should we also
define `clopenSegment`/`convex.Ico`/`convex.Ioc`?
-/
variable {𝕜 E F G ι : Type*} {M : ι → Type*}
open Function Set
open Pointwise Convex
section OrderedSemiring
variable [Semiring 𝕜] [PartialOrder 𝕜] [AddCommMonoid E]
section SMul
variable (𝕜) [SMul 𝕜 E] {s : Set E} {x y : E}
/-- Segments in a vector space. -/
def segment (x y : E) : Set E :=
{ z : E | ∃ a b : 𝕜, 0 ≤ a ∧ 0 ≤ b ∧ a + b = 1 ∧ a • x + b • y = z }
/-- Open segment in a vector space. Note that `openSegment 𝕜 x x = {x}` instead of being `∅` when
the base semiring has some element between `0` and `1`.
Denoted as `[x -[𝕜] y]` within the `Convex` namespace. -/
def openSegment (x y : E) : Set E :=
{ z : E | ∃ a b : 𝕜, 0 < a ∧ 0 < b ∧ a + b = 1 ∧ a • x + b • y = z }
@[inherit_doc] scoped[Convex] notation (priority := high) "[" x " -[" 𝕜 "] " y "]" => segment 𝕜 x y
theorem segment_eq_image₂ (x y : E) :
[x -[𝕜] y] =
(fun p : 𝕜 × 𝕜 => p.1 • x + p.2 • y) '' { p | 0 ≤ p.1 ∧ 0 ≤ p.2 ∧ p.1 + p.2 = 1 } := by
simp only [segment, image, Prod.exists, mem_setOf_eq, exists_prop, and_assoc]
theorem openSegment_eq_image₂ (x y : E) :
openSegment 𝕜 x y =
(fun p : 𝕜 × 𝕜 => p.1 • x + p.2 • y) '' { p | 0 < p.1 ∧ 0 < p.2 ∧ p.1 + p.2 = 1 } := by
simp only [openSegment, image, Prod.exists, mem_setOf_eq, exists_prop, and_assoc]
theorem segment_symm (x y : E) : [x -[𝕜] y] = [y -[𝕜] x] :=
Set.ext fun _ =>
⟨fun ⟨a, b, ha, hb, hab, H⟩ => ⟨b, a, hb, ha, (add_comm _ _).trans hab, (add_comm _ _).trans H⟩,
fun ⟨a, b, ha, hb, hab, H⟩ =>
⟨b, a, hb, ha, (add_comm _ _).trans hab, (add_comm _ _).trans H⟩⟩
theorem openSegment_symm (x y : E) : openSegment 𝕜 x y = openSegment 𝕜 y x :=
Set.ext fun _ =>
⟨fun ⟨a, b, ha, hb, hab, H⟩ => ⟨b, a, hb, ha, (add_comm _ _).trans hab, (add_comm _ _).trans H⟩,
fun ⟨a, b, ha, hb, hab, H⟩ =>
⟨b, a, hb, ha, (add_comm _ _).trans hab, (add_comm _ _).trans H⟩⟩
theorem openSegment_subset_segment (x y : E) : openSegment 𝕜 x y ⊆ [x -[𝕜] y] :=
fun _ ⟨a, b, ha, hb, hab, hz⟩ => ⟨a, b, ha.le, hb.le, hab, hz⟩
theorem segment_subset_iff :
[x -[𝕜] y] ⊆ s ↔ ∀ a b : 𝕜, 0 ≤ a → 0 ≤ b → a + b = 1 → a • x + b • y ∈ s :=
⟨fun H a b ha hb hab => H ⟨a, b, ha, hb, hab, rfl⟩, fun H _ ⟨a, b, ha, hb, hab, hz⟩ =>
hz ▸ H a b ha hb hab⟩
theorem openSegment_subset_iff :
openSegment 𝕜 x y ⊆ s ↔ ∀ a b : 𝕜, 0 < a → 0 < b → a + b = 1 → a • x + b • y ∈ s :=
⟨fun H a b ha hb hab => H ⟨a, b, ha, hb, hab, rfl⟩, fun H _ ⟨a, b, ha, hb, hab, hz⟩ =>
hz ▸ H a b ha hb hab⟩
end SMul
open Convex
section MulActionWithZero
variable (𝕜)
variable [ZeroLEOneClass 𝕜] [MulActionWithZero 𝕜 E]
theorem left_mem_segment (x y : E) : x ∈ [x -[𝕜] y] :=
⟨1, 0, zero_le_one, le_refl 0, add_zero 1, by rw [zero_smul, one_smul, add_zero]⟩
theorem right_mem_segment (x y : E) : y ∈ [x -[𝕜] y] :=
segment_symm 𝕜 y x ▸ left_mem_segment 𝕜 y x
end MulActionWithZero
section Module
variable (𝕜)
variable [ZeroLEOneClass 𝕜] [Module 𝕜 E] {s : Set E} {x y z : E}
@[simp]
theorem segment_same (x : E) : [x -[𝕜] x] = {x} :=
Set.ext fun z =>
⟨fun ⟨a, b, _, _, hab, hz⟩ => by
simpa only [(add_smul _ _ _).symm, mem_singleton_iff, hab, one_smul, eq_comm] using hz,
fun h => mem_singleton_iff.1 h ▸ left_mem_segment 𝕜 z z⟩
theorem insert_endpoints_openSegment (x y : E) :
insert x (insert y (openSegment 𝕜 x y)) = [x -[𝕜] y] := by
simp only [subset_antisymm_iff, insert_subset_iff, left_mem_segment, right_mem_segment,
openSegment_subset_segment, true_and]
rintro z ⟨a, b, ha, hb, hab, rfl⟩
refine hb.eq_or_gt.imp ?_ fun hb' => ha.eq_or_gt.imp ?_ fun ha' => ?_
· rintro rfl
rw [← add_zero a, hab, one_smul, zero_smul, add_zero]
· rintro rfl
rw [← zero_add b, hab, one_smul, zero_smul, zero_add]
· exact ⟨a, b, ha', hb', hab, rfl⟩
variable {𝕜}
theorem mem_openSegment_of_ne_left_right (hx : x ≠ z) (hy : y ≠ z) (hz : z ∈ [x -[𝕜] y]) :
z ∈ openSegment 𝕜 x y := by
rw [← insert_endpoints_openSegment] at hz
exact (hz.resolve_left hx.symm).resolve_left hy.symm
theorem openSegment_subset_iff_segment_subset (hx : x ∈ s) (hy : y ∈ s) :
openSegment 𝕜 x y ⊆ s ↔ [x -[𝕜] y] ⊆ s := by
simp only [← insert_endpoints_openSegment, insert_subset_iff, *, true_and]
end Module
end OrderedSemiring
open Convex
section OrderedRing
variable (𝕜) [Ring 𝕜] [PartialOrder 𝕜] [AddRightMono 𝕜]
[AddCommGroup E] [AddCommGroup F] [AddCommGroup G] [Module 𝕜 E] [Module 𝕜 F]
section DenselyOrdered
variable [ZeroLEOneClass 𝕜] [Nontrivial 𝕜] [DenselyOrdered 𝕜]
@[simp]
theorem openSegment_same (x : E) : openSegment 𝕜 x x = {x} :=
Set.ext fun z =>
⟨fun ⟨a, b, _, _, hab, hz⟩ => by
simpa only [← add_smul, mem_singleton_iff, hab, one_smul, eq_comm] using hz,
fun h : z = x => by
obtain ⟨a, ha₀, ha₁⟩ := DenselyOrdered.dense (0 : 𝕜) 1 zero_lt_one
refine ⟨a, 1 - a, ha₀, sub_pos_of_lt ha₁, add_sub_cancel _ _, ?_⟩
rw [← add_smul, add_sub_cancel, one_smul, h]⟩
end DenselyOrdered
theorem segment_eq_image (x y : E) :
[x -[𝕜] y] = (fun θ : 𝕜 => (1 - θ) • x + θ • y) '' Icc (0 : 𝕜) 1 :=
Set.ext fun _ =>
⟨fun ⟨a, b, ha, hb, hab, hz⟩ =>
⟨b, ⟨hb, hab ▸ le_add_of_nonneg_left ha⟩, hab ▸ hz ▸ by simp only [add_sub_cancel_right]⟩,
fun ⟨θ, ⟨hθ₀, hθ₁⟩, hz⟩ => ⟨1 - θ, θ, sub_nonneg.2 hθ₁, hθ₀, sub_add_cancel _ _, hz⟩⟩
theorem openSegment_eq_image (x y : E) :
openSegment 𝕜 x y = (fun θ : 𝕜 => (1 - θ) • x + θ • y) '' Ioo (0 : 𝕜) 1 :=
Set.ext fun _ =>
⟨fun ⟨a, b, ha, hb, hab, hz⟩ =>
⟨b, ⟨hb, hab ▸ lt_add_of_pos_left _ ha⟩, hab ▸ hz ▸ by simp only [add_sub_cancel_right]⟩,
fun ⟨θ, ⟨hθ₀, hθ₁⟩, hz⟩ => ⟨1 - θ, θ, sub_pos.2 hθ₁, hθ₀, sub_add_cancel _ _, hz⟩⟩
theorem segment_eq_image' (x y : E) :
[x -[𝕜] y] = (fun θ : 𝕜 => x + θ • (y - x)) '' Icc (0 : 𝕜) 1 := by
convert segment_eq_image 𝕜 x y using 2
simp only [smul_sub, sub_smul, one_smul]
abel
theorem openSegment_eq_image' (x y : E) :
openSegment 𝕜 x y = (fun θ : 𝕜 => x + θ • (y - x)) '' Ioo (0 : 𝕜) 1 := by
convert openSegment_eq_image 𝕜 x y using 2
simp only [smul_sub, sub_smul, one_smul]
abel
theorem segment_eq_image_lineMap (x y : E) : [x -[𝕜] y] =
AffineMap.lineMap x y '' Icc (0 : 𝕜) 1 := by
convert segment_eq_image 𝕜 x y using 2
exact AffineMap.lineMap_apply_module _ _ _
theorem openSegment_eq_image_lineMap (x y : E) :
openSegment 𝕜 x y = AffineMap.lineMap x y '' Ioo (0 : 𝕜) 1 := by
convert openSegment_eq_image 𝕜 x y using 2
exact AffineMap.lineMap_apply_module _ _ _
@[simp]
theorem image_segment (f : E →ᵃ[𝕜] F) (a b : E) : f '' [a -[𝕜] b] = [f a -[𝕜] f b] :=
Set.ext fun x => by
simp_rw [segment_eq_image_lineMap, mem_image, exists_exists_and_eq_and, AffineMap.apply_lineMap]
@[simp]
theorem image_openSegment (f : E →ᵃ[𝕜] F) (a b : E) :
f '' openSegment 𝕜 a b = openSegment 𝕜 (f a) (f b) :=
Set.ext fun x => by
simp_rw [openSegment_eq_image_lineMap, mem_image, exists_exists_and_eq_and,
AffineMap.apply_lineMap]
@[simp]
theorem vadd_segment [AddTorsor G E] [VAddCommClass G E E] (a : G) (b c : E) :
a +ᵥ [b -[𝕜] c] = [a +ᵥ b -[𝕜] a +ᵥ c] :=
image_segment 𝕜 ⟨_, LinearMap.id, fun _ _ => vadd_comm _ _ _⟩ b c
@[simp]
theorem vadd_openSegment [AddTorsor G E] [VAddCommClass G E E] (a : G) (b c : E) :
a +ᵥ openSegment 𝕜 b c = openSegment 𝕜 (a +ᵥ b) (a +ᵥ c) :=
image_openSegment 𝕜 ⟨_, LinearMap.id, fun _ _ => vadd_comm _ _ _⟩ b c
@[simp]
theorem mem_segment_translate (a : E) {x b c} : a + x ∈ [a + b -[𝕜] a + c] ↔ x ∈ [b -[𝕜] c] := by
simp_rw [← vadd_eq_add, ← vadd_segment, vadd_mem_vadd_set_iff]
@[simp]
theorem mem_openSegment_translate (a : E) {x b c : E} :
a + x ∈ openSegment 𝕜 (a + b) (a + c) ↔ x ∈ openSegment 𝕜 b c := by
simp_rw [← vadd_eq_add, ← vadd_openSegment, vadd_mem_vadd_set_iff]
theorem segment_translate_preimage (a b c : E) :
(fun x => a + x) ⁻¹' [a + b -[𝕜] a + c] = [b -[𝕜] c] :=
Set.ext fun _ => mem_segment_translate 𝕜 a
theorem openSegment_translate_preimage (a b c : E) :
(fun x => a + x) ⁻¹' openSegment 𝕜 (a + b) (a + c) = openSegment 𝕜 b c :=
Set.ext fun _ => mem_openSegment_translate 𝕜 a
theorem segment_translate_image (a b c : E) : (fun x => a + x) '' [b -[𝕜] c] = [a + b -[𝕜] a + c] :=
segment_translate_preimage 𝕜 a b c ▸ image_preimage_eq _ <| add_left_surjective a
theorem openSegment_translate_image (a b c : E) :
(fun x => a + x) '' openSegment 𝕜 b c = openSegment 𝕜 (a + b) (a + c) :=
openSegment_translate_preimage 𝕜 a b c ▸ image_preimage_eq _ <| add_left_surjective a
lemma segment_inter_subset_endpoint_of_linearIndependent_sub
{c x y : E} (h : LinearIndependent 𝕜 ![x - c, y - c]) :
[c -[𝕜] x] ∩ [c -[𝕜] y] ⊆ {c} := by
intro z ⟨hzt, hzs⟩
rw [segment_eq_image, mem_image] at hzt hzs
rcases hzt with ⟨p, ⟨p0, p1⟩, rfl⟩
rcases hzs with ⟨q, ⟨q0, q1⟩, H⟩
have Hx : x = (x - c) + c := by abel
have Hy : y = (y - c) + c := by abel
rw [Hx, Hy, smul_add, smul_add] at H
have : c + q • (y - c) = c + p • (x - c) := by
convert H using 1 <;> simp [sub_smul]
obtain ⟨rfl, rfl⟩ : p = 0 ∧ q = 0 := h.eq_zero_of_pair' ((add_right_inj c).1 this).symm
simp
lemma segment_inter_eq_endpoint_of_linearIndependent_sub [ZeroLEOneClass 𝕜]
{c x y : E} (h : LinearIndependent 𝕜 ![x - c, y - c]) :
[c -[𝕜] x] ∩ [c -[𝕜] y] = {c} := by
refine (segment_inter_subset_endpoint_of_linearIndependent_sub 𝕜 h).antisymm ?_
simp [singleton_subset_iff, left_mem_segment]
end OrderedRing
theorem sameRay_of_mem_segment [CommRing 𝕜] [PartialOrder 𝕜] [IsStrictOrderedRing 𝕜]
[AddCommGroup E] [Module 𝕜 E] {x y z : E}
(h : x ∈ [y -[𝕜] z]) : SameRay 𝕜 (x - y) (z - x) := by
rw [segment_eq_image'] at h
rcases h with ⟨θ, ⟨hθ₀, hθ₁⟩, rfl⟩
simpa only [add_sub_cancel_left, ← sub_sub, sub_smul, one_smul] using
(SameRay.sameRay_nonneg_smul_left (z - y) hθ₀).nonneg_smul_right (sub_nonneg.2 hθ₁)
lemma segment_inter_eq_endpoint_of_linearIndependent_of_ne
[CommRing 𝕜] [PartialOrder 𝕜] [IsOrderedRing 𝕜] [NoZeroDivisors 𝕜]
[AddCommGroup E] [Module 𝕜 E]
{x y : E} (h : LinearIndependent 𝕜 ![x, y]) {s t : 𝕜} (hs : s ≠ t) (c : E) :
[c + x -[𝕜] c + t • y] ∩ [c + x -[𝕜] c + s • y] = {c + x} := by
apply segment_inter_eq_endpoint_of_linearIndependent_sub
simp only [add_sub_add_left_eq_sub]
suffices H : LinearIndependent 𝕜 ![(-1 : 𝕜) • x + t • y, (-1 : 𝕜) • x + s • y] by
convert H using 1; simp only [neg_smul, one_smul]; abel_nf
nontriviality 𝕜
rw [LinearIndependent.pair_add_smul_add_smul_iff]
aesop
section LinearOrderedRing
variable [Ring 𝕜] [LinearOrder 𝕜] [IsStrictOrderedRing 𝕜] [AddCommGroup E] [Module 𝕜 E] {x y : E}
theorem midpoint_mem_segment [Invertible (2 : 𝕜)] (x y : E) : midpoint 𝕜 x y ∈ [x -[𝕜] y] := by
rw [segment_eq_image_lineMap]
exact ⟨⅟ 2, ⟨invOf_nonneg.mpr zero_le_two, invOf_le_one one_le_two⟩, rfl⟩
theorem mem_segment_sub_add [Invertible (2 : 𝕜)] (x y : E) : x ∈ [x - y -[𝕜] x + y] := by
convert midpoint_mem_segment (𝕜 := 𝕜) (x - y) (x + y)
rw [midpoint_sub_add]
theorem mem_segment_add_sub [Invertible (2 : 𝕜)] (x y : E) : x ∈ [x + y -[𝕜] x - y] := by
convert midpoint_mem_segment (𝕜 := 𝕜) (x + y) (x - y)
rw [midpoint_add_sub]
@[simp]
theorem left_mem_openSegment_iff [DenselyOrdered 𝕜] [NoZeroSMulDivisors 𝕜 E] :
x ∈ openSegment 𝕜 x y ↔ x = y := by
constructor
· rintro ⟨a, b, _, hb, hab, hx⟩
refine smul_right_injective _ hb.ne' ((add_right_inj (a • x)).1 ?_)
rw [hx, ← add_smul, hab, one_smul]
· rintro rfl
rw [openSegment_same]
exact mem_singleton _
@[simp]
theorem right_mem_openSegment_iff [DenselyOrdered 𝕜] [NoZeroSMulDivisors 𝕜 E] :
y ∈ openSegment 𝕜 x y ↔ x = y := by rw [openSegment_symm, left_mem_openSegment_iff, eq_comm]
end LinearOrderedRing
section LinearOrderedSemifield
variable [Semifield 𝕜] [LinearOrder 𝕜] [IsStrictOrderedRing 𝕜] [AddCommGroup E] [Module 𝕜 E]
{x y z : E}
theorem mem_segment_iff_div :
x ∈ [y -[𝕜] z] ↔
∃ a b : 𝕜, 0 ≤ a ∧ 0 ≤ b ∧ 0 < a + b ∧ (a / (a + b)) • y + (b / (a + b)) • z = x := by
constructor
· rintro ⟨a, b, ha, hb, hab, rfl⟩
use a, b, ha, hb
simp [*]
· rintro ⟨a, b, ha, hb, hab, rfl⟩
refine ⟨a / (a + b), b / (a + b), by positivity, by positivity, ?_, rfl⟩
rw [← add_div, div_self hab.ne']
theorem mem_openSegment_iff_div : x ∈ openSegment 𝕜 y z ↔
∃ a b : 𝕜, 0 < a ∧ 0 < b ∧ (a / (a + b)) • y + (b / (a + b)) • z = x := by
constructor
· rintro ⟨a, b, ha, hb, hab, rfl⟩
use a, b, ha, hb
rw [hab, div_one, div_one]
· rintro ⟨a, b, ha, hb, rfl⟩
have hab : 0 < a + b := add_pos' ha hb
refine ⟨a / (a + b), b / (a + b), by positivity, by positivity, ?_, rfl⟩
rw [← add_div, div_self hab.ne']
end LinearOrderedSemifield
section LinearOrderedField
variable [Field 𝕜] [LinearOrder 𝕜] [IsStrictOrderedRing 𝕜] [AddCommGroup E] [Module 𝕜 E] {x y z : E}
theorem mem_segment_iff_sameRay : x ∈ [y -[𝕜] z] ↔ SameRay 𝕜 (x - y) (z - x) := by
refine ⟨sameRay_of_mem_segment, fun h => ?_⟩
rcases h.exists_eq_smul_add with ⟨a, b, ha, hb, hab, hxy, hzx⟩
rw [add_comm, sub_add_sub_cancel] at hxy hzx
rw [← mem_segment_translate _ (-x), neg_add_cancel]
refine ⟨b, a, hb, ha, add_comm a b ▸ hab, ?_⟩
rw [← sub_eq_neg_add, ← neg_sub, hxy, ← sub_eq_neg_add, hzx, smul_neg, smul_comm, neg_add_cancel]
open AffineMap
/-- If `z = lineMap x y c` is a point on the line passing through `x` and `y`, then the open
segment `openSegment 𝕜 x y` is included in the union of the open segments `openSegment 𝕜 x z`,
`openSegment 𝕜 z y`, and the point `z`. Informally, `(x, y) ⊆ {z} ∪ (x, z) ∪ (z, y)`. -/
theorem openSegment_subset_union (x y : E) {z : E} (hz : z ∈ range (lineMap x y : 𝕜 → E)) :
openSegment 𝕜 x y ⊆ insert z (openSegment 𝕜 x z ∪ openSegment 𝕜 z y) := by
rcases hz with ⟨c, rfl⟩
simp only [openSegment_eq_image_lineMap, ← mapsTo']
rintro a ⟨h₀, h₁⟩
rcases lt_trichotomy a c with (hac | rfl | hca)
· right
left
have hc : 0 < c := h₀.trans hac
refine ⟨a / c, ⟨div_pos h₀ hc, (div_lt_one hc).2 hac⟩, ?_⟩
simp only [← homothety_eq_lineMap, ← homothety_mul_apply, div_mul_cancel₀ _ hc.ne']
· left
rfl
· right
right
have hc : 0 < 1 - c := sub_pos.2 (hca.trans h₁)
simp only [← lineMap_apply_one_sub y]
refine
⟨(a - c) / (1 - c), ⟨div_pos (sub_pos.2 hca) hc, (div_lt_one hc).2 <| sub_lt_sub_right h₁ _⟩,
?_⟩
simp only [← homothety_eq_lineMap, ← homothety_mul_apply, sub_mul, one_mul,
div_mul_cancel₀ _ hc.ne', sub_sub_sub_cancel_right]
end LinearOrderedField
/-!
#### Segments in an ordered space
Relates `segment`, `openSegment` and `Set.Icc`, `Set.Ico`, `Set.Ioc`, `Set.Ioo`
-/
section OrderedSemiring
variable [Semiring 𝕜] [PartialOrder 𝕜]
section OrderedAddCommMonoid
variable [AddCommMonoid E] [PartialOrder E] [IsOrderedAddMonoid E] [Module 𝕜 E] [OrderedSMul 𝕜 E]
{x y : E}
theorem segment_subset_Icc (h : x ≤ y) : [x -[𝕜] y] ⊆ Icc x y := by
rintro z ⟨a, b, ha, hb, hab, rfl⟩
constructor
· calc
x = a • x + b • x := (Convex.combo_self hab _).symm
_ ≤ a • x + b • y := by gcongr
· calc
a • x + b • y ≤ a • y + b • y := by gcongr
_ = y := Convex.combo_self hab _
end OrderedAddCommMonoid
section OrderedCancelAddCommMonoid
variable [AddCommMonoid E] [PartialOrder E] [IsOrderedCancelAddMonoid E]
[Module 𝕜 E] [OrderedSMul 𝕜 E] {x y : E}
theorem openSegment_subset_Ioo (h : x < y) : openSegment 𝕜 x y ⊆ Ioo x y := by
rintro z ⟨a, b, ha, hb, hab, rfl⟩
constructor
· calc
x = a • x + b • x := (Convex.combo_self hab _).symm
_ < a • x + b • y := by gcongr
· calc
a • x + b • y < a • y + b • y := by gcongr
_ = y := Convex.combo_self hab _
end OrderedCancelAddCommMonoid
section LinearOrderedAddCommMonoid
variable [AddCommMonoid E] [LinearOrder E] [IsOrderedAddMonoid E] [Module 𝕜 E] [OrderedSMul 𝕜 E]
{a b : 𝕜}
theorem segment_subset_uIcc (x y : E) : [x -[𝕜] y] ⊆ uIcc x y := by
rcases le_total x y with h | h
· rw [uIcc_of_le h]
exact segment_subset_Icc h
· rw [uIcc_of_ge h, segment_symm]
exact segment_subset_Icc h
theorem Convex.min_le_combo (x y : E) (ha : 0 ≤ a) (hb : 0 ≤ b) (hab : a + b = 1) :
min x y ≤ a • x + b • y :=
(segment_subset_uIcc x y ⟨_, _, ha, hb, hab, rfl⟩).1
theorem Convex.combo_le_max (x y : E) (ha : 0 ≤ a) (hb : 0 ≤ b) (hab : a + b = 1) :
a • x + b • y ≤ max x y :=
(segment_subset_uIcc x y ⟨_, _, ha, hb, hab, rfl⟩).2
end LinearOrderedAddCommMonoid
end OrderedSemiring
section LinearOrderedField
variable [Field 𝕜] [LinearOrder 𝕜] [IsStrictOrderedRing 𝕜] {x y z : 𝕜}
theorem Icc_subset_segment : Icc x y ⊆ [x -[𝕜] y] := by
rintro z ⟨hxz, hyz⟩
obtain rfl | h := (hxz.trans hyz).eq_or_lt
· rw [segment_same]
exact hyz.antisymm hxz
rw [← sub_nonneg] at hxz hyz
rw [← sub_pos] at h
refine ⟨(y - z) / (y - x), (z - x) / (y - x), div_nonneg hyz h.le, div_nonneg hxz h.le, ?_, ?_⟩
· rw [← add_div, sub_add_sub_cancel, div_self h.ne']
· rw [smul_eq_mul, smul_eq_mul, ← mul_div_right_comm, ← mul_div_right_comm, ← add_div,
div_eq_iff h.ne', add_comm, sub_mul, sub_mul, mul_comm x, sub_add_sub_cancel, mul_sub]
@[simp]
theorem segment_eq_Icc (h : x ≤ y) : [x -[𝕜] y] = Icc x y :=
(segment_subset_Icc h).antisymm Icc_subset_segment
theorem Ioo_subset_openSegment : Ioo x y ⊆ openSegment 𝕜 x y := fun _ hz =>
mem_openSegment_of_ne_left_right hz.1.ne hz.2.ne' <| Icc_subset_segment <| Ioo_subset_Icc_self hz
@[simp]
theorem openSegment_eq_Ioo (h : x < y) : openSegment 𝕜 x y = Ioo x y :=
(openSegment_subset_Ioo h).antisymm Ioo_subset_openSegment
theorem segment_eq_Icc' (x y : 𝕜) : [x -[𝕜] y] = Icc (min x y) (max x y) := by
rcases le_total x y with h | h
· rw [segment_eq_Icc h, max_eq_right h, min_eq_left h]
· rw [segment_symm, segment_eq_Icc h, max_eq_left h, min_eq_right h]
theorem openSegment_eq_Ioo' (hxy : x ≠ y) : openSegment 𝕜 x y = Ioo (min x y) (max x y) := by
rcases hxy.lt_or_lt with h | h
· rw [openSegment_eq_Ioo h, max_eq_right h.le, min_eq_left h.le]
· rw [openSegment_symm, openSegment_eq_Ioo h, max_eq_left h.le, min_eq_right h.le]
theorem segment_eq_uIcc (x y : 𝕜) : [x -[𝕜] y] = uIcc x y :=
segment_eq_Icc' _ _
/-- A point is in an `Icc` iff it can be expressed as a convex combination of the endpoints. -/
theorem Convex.mem_Icc (h : x ≤ y) :
z ∈ Icc x y ↔ ∃ a b, 0 ≤ a ∧ 0 ≤ b ∧ a + b = 1 ∧ a * x + b * y = z := by
simp only [← segment_eq_Icc h, segment, mem_setOf_eq, smul_eq_mul, exists_and_left]
/-- A point is in an `Ioo` iff it can be expressed as a strict convex combination of the endpoints.
-/
theorem Convex.mem_Ioo (h : x < y) :
z ∈ Ioo x y ↔ ∃ a b, 0 < a ∧ 0 < b ∧ a + b = 1 ∧ a * x + b * y = z := by
simp only [← openSegment_eq_Ioo h, openSegment, smul_eq_mul, exists_and_left, mem_setOf_eq]
/-- A point is in an `Ioc` iff it can be expressed as a semistrict convex combination of the
endpoints. -/
theorem Convex.mem_Ioc (h : x < y) :
z ∈ Ioc x y ↔ ∃ a b, 0 ≤ a ∧ 0 < b ∧ a + b = 1 ∧ a * x + b * y = z := by
refine ⟨fun hz => ?_, ?_⟩
· obtain ⟨a, b, ha, hb, hab, rfl⟩ := (Convex.mem_Icc h.le).1 (Ioc_subset_Icc_self hz)
obtain rfl | hb' := hb.eq_or_lt
· rw [add_zero] at hab
rw [hab, one_mul, zero_mul, add_zero] at hz
exact (hz.1.ne rfl).elim
· exact ⟨a, b, ha, hb', hab, rfl⟩
· rintro ⟨a, b, ha, hb, hab, rfl⟩
obtain rfl | ha' := ha.eq_or_lt
· rw [zero_add] at hab
rwa [hab, one_mul, zero_mul, zero_add, right_mem_Ioc]
· exact Ioo_subset_Ioc_self ((Convex.mem_Ioo h).2 ⟨a, b, ha', hb, hab, rfl⟩)
/-- A point is in an `Ico` iff it can be expressed as a semistrict convex combination of the
endpoints. -/
theorem Convex.mem_Ico (h : x < y) :
z ∈ Ico x y ↔ ∃ a b, 0 < a ∧ 0 ≤ b ∧ a + b = 1 ∧ a * x + b * y = z := by
refine ⟨fun hz => ?_, ?_⟩
· obtain ⟨a, b, ha, hb, hab, rfl⟩ := (Convex.mem_Icc h.le).1 (Ico_subset_Icc_self hz)
obtain rfl | ha' := ha.eq_or_lt
· rw [zero_add] at hab
rw [hab, one_mul, zero_mul, zero_add] at hz
exact (hz.2.ne rfl).elim
· exact ⟨a, b, ha', hb, hab, rfl⟩
· rintro ⟨a, b, ha, hb, hab, rfl⟩
obtain rfl | hb' := hb.eq_or_lt
· rw [add_zero] at hab
rwa [hab, one_mul, zero_mul, add_zero, left_mem_Ico]
· exact Ioo_subset_Ico_self ((Convex.mem_Ioo h).2 ⟨a, b, ha, hb', hab, rfl⟩)
end LinearOrderedField
namespace Prod
variable [Semiring 𝕜] [PartialOrder 𝕜] [AddCommMonoid E] [AddCommMonoid F] [Module 𝕜 E] [Module 𝕜 F]
theorem segment_subset (x y : E × F) : segment 𝕜 x y ⊆ segment 𝕜 x.1 y.1 ×ˢ segment 𝕜 x.2 y.2 := by
rintro z ⟨a, b, ha, hb, hab, hz⟩
exact ⟨⟨a, b, ha, hb, hab, congr_arg Prod.fst hz⟩, a, b, ha, hb, hab, congr_arg Prod.snd hz⟩
theorem openSegment_subset (x y : E × F) :
openSegment 𝕜 x y ⊆ openSegment 𝕜 x.1 y.1 ×ˢ openSegment 𝕜 x.2 y.2 := by
rintro z ⟨a, b, ha, hb, hab, hz⟩
exact ⟨⟨a, b, ha, hb, hab, congr_arg Prod.fst hz⟩, a, b, ha, hb, hab, congr_arg Prod.snd hz⟩
theorem image_mk_segment_left (x₁ x₂ : E) (y : F) :
(fun x => (x, y)) '' [x₁ -[𝕜] x₂] = [(x₁, y) -[𝕜] (x₂, y)] := by
rw [segment_eq_image₂, segment_eq_image₂, image_image]
refine EqOn.image_eq fun a ha ↦ ?_
simp [Convex.combo_self ha.2.2]
theorem image_mk_segment_right (x : E) (y₁ y₂ : F) :
(fun y => (x, y)) '' [y₁ -[𝕜] y₂] = [(x, y₁) -[𝕜] (x, y₂)] := by
rw [segment_eq_image₂, segment_eq_image₂, image_image]
refine EqOn.image_eq fun a ha ↦ ?_
simp [Convex.combo_self ha.2.2]
theorem image_mk_openSegment_left (x₁ x₂ : E) (y : F) :
(fun x => (x, y)) '' openSegment 𝕜 x₁ x₂ = openSegment 𝕜 (x₁, y) (x₂, y) := by
rw [openSegment_eq_image₂, openSegment_eq_image₂, image_image]
refine EqOn.image_eq fun a ha ↦ ?_
simp [Convex.combo_self ha.2.2]
@[simp]
theorem image_mk_openSegment_right (x : E) (y₁ y₂ : F) :
(fun y => (x, y)) '' openSegment 𝕜 y₁ y₂ = openSegment 𝕜 (x, y₁) (x, y₂) := by
rw [openSegment_eq_image₂, openSegment_eq_image₂, image_image]
refine EqOn.image_eq fun a ha ↦ ?_
simp [Convex.combo_self ha.2.2]
end Prod
namespace Pi
variable [Semiring 𝕜] [PartialOrder 𝕜] [∀ i, AddCommMonoid (M i)] [∀ i, Module 𝕜 (M i)] {s : Set ι}
theorem segment_subset (x y : ∀ i, M i) : segment 𝕜 x y ⊆ s.pi fun i => segment 𝕜 (x i) (y i) := by
rintro z ⟨a, b, ha, hb, hab, hz⟩ i -
exact ⟨a, b, ha, hb, hab, congr_fun hz i⟩
theorem openSegment_subset (x y : ∀ i, M i) :
openSegment 𝕜 x y ⊆ s.pi fun i => openSegment 𝕜 (x i) (y i) := by
rintro z ⟨a, b, ha, hb, hab, hz⟩ i -
exact ⟨a, b, ha, hb, hab, congr_fun hz i⟩
variable [DecidableEq ι]
theorem image_update_segment (i : ι) (x₁ x₂ : M i) (y : ∀ i, M i) :
update y i '' [x₁ -[𝕜] x₂] = [update y i x₁ -[𝕜] update y i x₂] := by
rw [segment_eq_image₂, segment_eq_image₂, image_image]
refine EqOn.image_eq fun a ha ↦ ?_
simp only [← update_smul, ← update_add, Convex.combo_self ha.2.2]
theorem image_update_openSegment (i : ι) (x₁ x₂ : M i) (y : ∀ i, M i) :
update y i '' openSegment 𝕜 x₁ x₂ = openSegment 𝕜 (update y i x₁) (update y i x₂) := by
rw [openSegment_eq_image₂, openSegment_eq_image₂, image_image]
refine EqOn.image_eq fun a ha ↦ ?_
simp only [← update_smul, ← update_add, Convex.combo_self ha.2.2]
end Pi
| Mathlib/Analysis/Convex/Segment.lean | 635 | 639 | |
/-
Copyright (c) 2024 Yaël Dillies, Kin Yau James Wong. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yaël Dillies, Kin Yau James Wong, Rémy Degenne
-/
import Mathlib.MeasureTheory.Function.AEEqOfLIntegral
import Mathlib.Probability.Kernel.Composition.MeasureCompProd
/-!
# Disintegration of measures and kernels
This file defines predicates for a kernel to "disintegrate" a measure or a kernel. This kernel is
also called the "conditional kernel" of the measure or kernel.
A measure `ρ : Measure (α × Ω)` is disintegrated by a kernel `ρCond : Kernel α Ω` if
`ρ.fst ⊗ₘ ρCond = ρ`.
A kernel `ρ : Kernel α (β × Ω)` is disintegrated by a kernel `κCond : Kernel (α × β) Ω` if
`κ.fst ⊗ₖ κCond = κ`.
## Main definitions
* `MeasureTheory.Measure.IsCondKernel ρ ρCond`: Predicate for the kernel `ρCond` to disintegrate the
measure `ρ`.
* `ProbabilityTheory.Kernel.IsCondKernel κ κCond`: Predicate for the kernel `κ Cond` to disintegrate
the kernel `κ`.
Further, if `κ` is an s-finite kernel from a countable `α` such that each measure `κ a` is
disintegrated by some kernel, then `κ` itself is disintegrated by a kernel, namely
`ProbabilityTheory.Kernel.condKernelCountable`.
## See also
`Mathlib.Probability.Kernel.Disintegration.StandardBorel` for a **construction** of disintegrating
kernels.
-/
open MeasureTheory Set Filter MeasurableSpace ProbabilityTheory
open scoped ENNReal MeasureTheory Topology
variable {α β Ω : Type*} {mα : MeasurableSpace α} {mβ : MeasurableSpace β} {mΩ : MeasurableSpace Ω}
/-!
### Disintegration of measures
This section provides a predicate for a kernel to disintegrate a measure.
-/
namespace MeasureTheory.Measure
variable (ρ : Measure (α × Ω)) (ρCond : Kernel α Ω)
/-- A kernel `ρCond` is a conditional kernel for a measure `ρ` if it disintegrates it in the sense
that `ρ.fst ⊗ₘ ρCond = ρ`. -/
class IsCondKernel : Prop where
disintegrate : ρ.fst ⊗ₘ ρCond = ρ
variable [ρ.IsCondKernel ρCond]
lemma disintegrate : ρ.fst ⊗ₘ ρCond = ρ := IsCondKernel.disintegrate
lemma IsCondKernel.isSFiniteKernel (hρ : ρ ≠ 0) : IsSFiniteKernel ρCond := by
contrapose! hρ; rwa [← ρ.disintegrate ρCond, Measure.compProd_of_not_isSFiniteKernel]
variable [IsFiniteMeasure ρ]
/-- Auxiliary lemma for `IsCondKernel.apply_of_ne_zero`. -/
private lemma IsCondKernel.apply_of_ne_zero_of_measurableSet [MeasurableSingletonClass α] {x : α}
(hx : ρ.fst {x} ≠ 0) {s : Set Ω} (hs : MeasurableSet s) :
ρCond x s = (ρ.fst {x})⁻¹ * ρ ({x} ×ˢ s) := by
have := isSFiniteKernel ρ ρCond (by rintro rfl; simp at hx)
nth_rewrite 2 [← ρ.disintegrate ρCond]
rw [Measure.compProd_apply (measurableSet_prod.mpr (Or.inl ⟨measurableSet_singleton x, hs⟩))]
classical
have (a) : ρCond a (Prod.mk a ⁻¹' {x} ×ˢ s) = ({x} : Set α).indicator (ρCond · s) a := by
obtain rfl | hax := eq_or_ne a x
· simp only [singleton_prod, mem_singleton_iff, indicator_of_mem]
congr with y
simp
· simp only [singleton_prod, mem_singleton_iff, hax, not_false_eq_true, indicator_of_not_mem]
have : Prod.mk a ⁻¹' (Prod.mk x '' s) = ∅ := by ext y; simp [Ne.symm hax]
simp only [this, measure_empty]
simp_rw [this]
rw [MeasureTheory.lintegral_indicator (measurableSet_singleton x)]
simp only [Measure.restrict_singleton, lintegral_smul_measure, lintegral_dirac, smul_eq_mul]
rw [← mul_assoc, ENNReal.inv_mul_cancel hx (measure_ne_top _ _), one_mul]
/-- If the singleton `{x}` has non-zero mass for `ρ.fst`, then for all `s : Set Ω`,
`ρCond x s = (ρ.fst {x})⁻¹ * ρ ({x} ×ˢ s)` . -/
lemma IsCondKernel.apply_of_ne_zero [MeasurableSingletonClass α] {x : α}
(hx : ρ.fst {x} ≠ 0) (s : Set Ω) : ρCond x s = (ρ.fst {x})⁻¹ * ρ ({x} ×ˢ s) := by
have : ρCond x s = ((ρ.fst {x})⁻¹ • ρ).comap (fun (y : Ω) ↦ (x, y)) s := by
congr 2 with s hs
simp [IsCondKernel.apply_of_ne_zero_of_measurableSet _ _ hx hs,
(measurableEmbedding_prodMk_left x).comap_apply, Set.singleton_prod]
simp [this, (measurableEmbedding_prodMk_left x).comap_apply, hx, Set.singleton_prod]
lemma IsCondKernel.isProbabilityMeasure [MeasurableSingletonClass α] {a : α} (ha : ρ.fst {a} ≠ 0) :
IsProbabilityMeasure (ρCond a) := by
constructor
rw [IsCondKernel.apply_of_ne_zero _ _ ha, prod_univ, ← Measure.fst_apply
(measurableSet_singleton _), ENNReal.inv_mul_cancel ha (measure_ne_top _ _)]
lemma IsCondKernel.isMarkovKernel [MeasurableSingletonClass α] (hρ : ∀ a, ρ.fst {a} ≠ 0) :
IsMarkovKernel ρCond := ⟨fun _ ↦ isProbabilityMeasure _ _ (hρ _)⟩
end MeasureTheory.Measure
/-!
### Disintegration of kernels
This section provides a predicate for a kernel to disintegrate a kernel. It also proves that if `κ`
is an s-finite kernel from a countable `α` such that each measure `κ a` is disintegrated by some
kernel, then `κ` itself is disintegrated by a kernel, namely
`ProbabilityTheory.Kernel.condKernelCountable`.
-/
namespace ProbabilityTheory.Kernel
variable (κ : Kernel α (β × Ω)) (κCond : Kernel (α × β) Ω)
/-! #### Predicate for a kernel to disintegrate a kernel -/
/-- A kernel `κCond` is a conditional kernel for a kernel `κ` if it disintegrates it in the sense
that `κ.fst ⊗ₖ κCond = κ`. -/
class IsCondKernel : Prop where
protected disintegrate : κ.fst ⊗ₖ κCond = κ
instance instIsCondKernel_zero (κCond : Kernel (α × β) Ω) : IsCondKernel 0 κCond where
disintegrate := by simp
lemma disintegrate [κ.IsCondKernel κCond] : κ.fst ⊗ₖ κCond = κ := IsCondKernel.disintegrate
/-- A conditional kernel is almost everywhere a probability measure. -/
lemma IsCondKernel.isProbabilityMeasure_ae [IsFiniteKernel κ.fst] [κ.IsCondKernel κCond] (a : α) :
∀ᵐ b ∂(κ.fst a), IsProbabilityMeasure (κCond (a, b)) := by
have h := disintegrate κ κCond
by_cases h_sfin : IsSFiniteKernel κCond
swap; · rw [Kernel.compProd_of_not_isSFiniteKernel_right _ _ h_sfin] at h; simp [h.symm]
suffices ∀ᵐ b ∂(κ.fst a), κCond (a, b) Set.univ = 1 by
convert this with b
exact ⟨fun _ ↦ measure_univ, fun h ↦ ⟨h⟩⟩
suffices (∀ᵐ b ∂(κ.fst a), κCond (a, b) Set.univ ≤ 1)
∧ (∀ᵐ b ∂(κ.fst a), 1 ≤ κCond (a, b) Set.univ) by
filter_upwards [this.1, this.2] with b h1 h2 using le_antisymm h1 h2
have h_eq s (hs : MeasurableSet s) :
∫⁻ b, s.indicator (fun b ↦ κCond (a, b) Set.univ) b ∂κ.fst a = κ.fst a s := by
conv_rhs => rw [← h]
rw [fst_compProd_apply _ _ _ hs]
have h_meas : Measurable fun b ↦ κCond (a, b) Set.univ :=
(κCond.measurable_coe MeasurableSet.univ).comp measurable_prodMk_left
constructor
· rw [ae_le_const_iff_forall_gt_measure_zero]
intro r hr
let s := {b | r ≤ κCond (a, b) Set.univ}
have hs : MeasurableSet s := h_meas measurableSet_Ici
have h_2_le : s.indicator (fun _ ↦ r) ≤ s.indicator (fun b ↦ (κCond (a, b)) Set.univ) := by
intro b
by_cases hbs : b ∈ s
· simpa [hbs]
· simp [hbs]
have : ∫⁻ b, s.indicator (fun _ ↦ r) b ∂(κ.fst a) ≤ κ.fst a s :=
(lintegral_mono h_2_le).trans_eq (h_eq s hs)
rw [lintegral_indicator_const hs] at this
contrapose! this with h_ne_zero
conv_lhs => rw [← one_mul (κ.fst a s)]
exact ENNReal.mul_lt_mul_right' h_ne_zero (measure_ne_top _ _) hr
· rw [ae_const_le_iff_forall_lt_measure_zero]
intro r hr
let s := {b | κCond (a, b) Set.univ ≤ r}
have hs : MeasurableSet s := h_meas measurableSet_Iic
have h_2_le : s.indicator (fun b ↦ (κCond (a, b)) Set.univ) ≤ s.indicator (fun _ ↦ r) := by
intro b
by_cases hbs : b ∈ s
· simpa [hbs]
| · simp [hbs]
have : κ.fst a s ≤ ∫⁻ b, s.indicator (fun _ ↦ r) b ∂(κ.fst a) :=
(h_eq s hs).symm.trans_le (lintegral_mono h_2_le)
rw [lintegral_indicator_const hs] at this
contrapose! this with h_ne_zero
| Mathlib/Probability/Kernel/Disintegration/Basic.lean | 174 | 178 |
/-
Copyright (c) 2018 Michael Jendrusch. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Michael Jendrusch, Kim Morrison, Bhavik Mehta, Jakob von Raumer
-/
import Mathlib.CategoryTheory.EqToHom
import Mathlib.CategoryTheory.Functor.Trifunctor
import Mathlib.CategoryTheory.Products.Basic
/-!
# Monoidal categories
A monoidal category is a category equipped with a tensor product, unitors, and an associator.
In the definition, we provide the tensor product as a pair of functions
* `tensorObj : C → C → C`
* `tensorHom : (X₁ ⟶ Y₁) → (X₂ ⟶ Y₂) → ((X₁ ⊗ X₂) ⟶ (Y₁ ⊗ Y₂))`
and allow use of the overloaded notation `⊗` for both.
The unitors and associator are provided componentwise.
The tensor product can be expressed as a functor via `tensor : C × C ⥤ C`.
The unitors and associator are gathered together as natural
isomorphisms in `leftUnitor_nat_iso`, `rightUnitor_nat_iso` and `associator_nat_iso`.
Some consequences of the definition are proved in other files after proving the coherence theorem,
e.g. `(λ_ (𝟙_ C)).hom = (ρ_ (𝟙_ C)).hom` in `CategoryTheory.Monoidal.CoherenceLemmas`.
## Implementation notes
In the definition of monoidal categories, we also provide the whiskering operators:
* `whiskerLeft (X : C) {Y₁ Y₂ : C} (f : Y₁ ⟶ Y₂) : X ⊗ Y₁ ⟶ X ⊗ Y₂`, denoted by `X ◁ f`,
* `whiskerRight {X₁ X₂ : C} (f : X₁ ⟶ X₂) (Y : C) : X₁ ⊗ Y ⟶ X₂ ⊗ Y`, denoted by `f ▷ Y`.
These are products of an object and a morphism (the terminology "whiskering"
is borrowed from 2-category theory). The tensor product of morphisms `tensorHom` can be defined
in terms of the whiskerings. There are two possible such definitions, which are related by
the exchange property of the whiskerings. These two definitions are accessed by `tensorHom_def`
and `tensorHom_def'`. By default, `tensorHom` is defined so that `tensorHom_def` holds
definitionally.
If you want to provide `tensorHom` and define `whiskerLeft` and `whiskerRight` in terms of it,
you can use the alternative constructor `CategoryTheory.MonoidalCategory.ofTensorHom`.
The whiskerings are useful when considering simp-normal forms of morphisms in monoidal categories.
### Simp-normal form for morphisms
Rewriting involving associators and unitors could be very complicated. We try to ease this
complexity by putting carefully chosen simp lemmas that rewrite any morphisms into the simp-normal
form defined below. Rewriting into simp-normal form is especially useful in preprocessing
performed by the `coherence` tactic.
The simp-normal form of morphisms is defined to be an expression that has the minimal number of
parentheses. More precisely,
1. it is a composition of morphisms like `f₁ ≫ f₂ ≫ f₃ ≫ f₄ ≫ f₅` such that each `fᵢ` is
either a structural morphisms (morphisms made up only of identities, associators, unitors)
or non-structural morphisms, and
2. each non-structural morphism in the composition is of the form `X₁ ◁ X₂ ◁ X₃ ◁ f ▷ X₄ ▷ X₅`,
where each `Xᵢ` is a object that is not the identity or a tensor and `f` is a non-structural
morphisms that is not the identity or a composite.
Note that `X₁ ◁ X₂ ◁ X₃ ◁ f ▷ X₄ ▷ X₅` is actually `X₁ ◁ (X₂ ◁ (X₃ ◁ ((f ▷ X₄) ▷ X₅)))`.
Currently, the simp lemmas don't rewrite `𝟙 X ⊗ f` and `f ⊗ 𝟙 Y` into `X ◁ f` and `f ▷ Y`,
respectively, since it requires a huge refactoring. We hope to add these simp lemmas soon.
## References
* Tensor categories, Etingof, Gelaki, Nikshych, Ostrik,
http://www-math.mit.edu/~etingof/egnobookfinal.pdf
* <https://stacks.math.columbia.edu/tag/0FFK>.
-/
universe v u
open CategoryTheory.Category
open CategoryTheory.Iso
namespace CategoryTheory
/-- Auxiliary structure to carry only the data fields of (and provide notation for)
`MonoidalCategory`. -/
class MonoidalCategoryStruct (C : Type u) [𝒞 : Category.{v} C] where
/-- curried tensor product of objects -/
tensorObj : C → C → C
/-- left whiskering for morphisms -/
whiskerLeft (X : C) {Y₁ Y₂ : C} (f : Y₁ ⟶ Y₂) : tensorObj X Y₁ ⟶ tensorObj X Y₂
/-- right whiskering for morphisms -/
whiskerRight {X₁ X₂ : C} (f : X₁ ⟶ X₂) (Y : C) : tensorObj X₁ Y ⟶ tensorObj X₂ Y
/-- Tensor product of identity maps is the identity: `(𝟙 X₁ ⊗ 𝟙 X₂) = 𝟙 (X₁ ⊗ X₂)` -/
-- By default, it is defined in terms of whiskerings.
tensorHom {X₁ Y₁ X₂ Y₂ : C} (f : X₁ ⟶ Y₁) (g : X₂ ⟶ Y₂) : (tensorObj X₁ X₂ ⟶ tensorObj Y₁ Y₂) :=
whiskerRight f X₂ ≫ whiskerLeft Y₁ g
/-- The tensor unity in the monoidal structure `𝟙_ C` -/
tensorUnit (C) : C
/-- The associator isomorphism `(X ⊗ Y) ⊗ Z ≃ X ⊗ (Y ⊗ Z)` -/
associator : ∀ X Y Z : C, tensorObj (tensorObj X Y) Z ≅ tensorObj X (tensorObj Y Z)
/-- The left unitor: `𝟙_ C ⊗ X ≃ X` -/
leftUnitor : ∀ X : C, tensorObj tensorUnit X ≅ X
/-- The right unitor: `X ⊗ 𝟙_ C ≃ X` -/
rightUnitor : ∀ X : C, tensorObj X tensorUnit ≅ X
namespace MonoidalCategory
export MonoidalCategoryStruct
(tensorObj whiskerLeft whiskerRight tensorHom tensorUnit associator leftUnitor rightUnitor)
end MonoidalCategory
namespace MonoidalCategory
/-- Notation for `tensorObj`, the tensor product of objects in a monoidal category -/
scoped infixr:70 " ⊗ " => MonoidalCategoryStruct.tensorObj
/-- Notation for the `whiskerLeft` operator of monoidal categories -/
scoped infixr:81 " ◁ " => MonoidalCategoryStruct.whiskerLeft
/-- Notation for the `whiskerRight` operator of monoidal categories -/
scoped infixl:81 " ▷ " => MonoidalCategoryStruct.whiskerRight
/-- Notation for `tensorHom`, the tensor product of morphisms in a monoidal category -/
scoped infixr:70 " ⊗ " => MonoidalCategoryStruct.tensorHom
/-- Notation for `tensorUnit`, the two-sided identity of `⊗` -/
scoped notation "𝟙_ " C:arg => MonoidalCategoryStruct.tensorUnit C
/-- Notation for the monoidal `associator`: `(X ⊗ Y) ⊗ Z ≃ X ⊗ (Y ⊗ Z)` -/
scoped notation "α_" => MonoidalCategoryStruct.associator
/-- Notation for the `leftUnitor`: `𝟙_C ⊗ X ≃ X` -/
scoped notation "λ_" => MonoidalCategoryStruct.leftUnitor
/-- Notation for the `rightUnitor`: `X ⊗ 𝟙_C ≃ X` -/
scoped notation "ρ_" => MonoidalCategoryStruct.rightUnitor
/-- The property that the pentagon relation is satisfied by four objects
in a category equipped with a `MonoidalCategoryStruct`. -/
def Pentagon {C : Type u} [Category.{v} C] [MonoidalCategoryStruct C]
(Y₁ Y₂ Y₃ Y₄ : C) : Prop :=
(α_ Y₁ Y₂ Y₃).hom ▷ Y₄ ≫ (α_ Y₁ (Y₂ ⊗ Y₃) Y₄).hom ≫ Y₁ ◁ (α_ Y₂ Y₃ Y₄).hom =
(α_ (Y₁ ⊗ Y₂) Y₃ Y₄).hom ≫ (α_ Y₁ Y₂ (Y₃ ⊗ Y₄)).hom
end MonoidalCategory
open MonoidalCategory
/--
In a monoidal category, we can take the tensor product of objects, `X ⊗ Y` and of morphisms `f ⊗ g`.
Tensor product does not need to be strictly associative on objects, but there is a
specified associator, `α_ X Y Z : (X ⊗ Y) ⊗ Z ≅ X ⊗ (Y ⊗ Z)`. There is a tensor unit `𝟙_ C`,
with specified left and right unitor isomorphisms `λ_ X : 𝟙_ C ⊗ X ≅ X` and `ρ_ X : X ⊗ 𝟙_ C ≅ X`.
These associators and unitors satisfy the pentagon and triangle equations. -/
@[stacks 0FFK]
-- Porting note: The Mathport did not translate the temporary notation
class MonoidalCategory (C : Type u) [𝒞 : Category.{v} C] extends MonoidalCategoryStruct C where
tensorHom_def {X₁ Y₁ X₂ Y₂ : C} (f : X₁ ⟶ Y₁) (g : X₂ ⟶ Y₂) :
f ⊗ g = (f ▷ X₂) ≫ (Y₁ ◁ g) := by
aesop_cat
/-- Tensor product of identity maps is the identity: `(𝟙 X₁ ⊗ 𝟙 X₂) = 𝟙 (X₁ ⊗ X₂)` -/
tensor_id : ∀ X₁ X₂ : C, 𝟙 X₁ ⊗ 𝟙 X₂ = 𝟙 (X₁ ⊗ X₂) := by aesop_cat
/--
Tensor product of compositions is composition of tensor products:
`(f₁ ≫ g₁) ⊗ (f₂ ≫ g₂) = (f₁ ⊗ f₂) ≫ (g₁ ⊗ g₂)`
-/
tensor_comp :
∀ {X₁ Y₁ Z₁ X₂ Y₂ Z₂ : C} (f₁ : X₁ ⟶ Y₁) (f₂ : X₂ ⟶ Y₂) (g₁ : Y₁ ⟶ Z₁) (g₂ : Y₂ ⟶ Z₂),
(f₁ ≫ g₁) ⊗ (f₂ ≫ g₂) = (f₁ ⊗ f₂) ≫ (g₁ ⊗ g₂) := by
aesop_cat
whiskerLeft_id : ∀ (X Y : C), X ◁ 𝟙 Y = 𝟙 (X ⊗ Y) := by
aesop_cat
id_whiskerRight : ∀ (X Y : C), 𝟙 X ▷ Y = 𝟙 (X ⊗ Y) := by
aesop_cat
/-- Naturality of the associator isomorphism: `(f₁ ⊗ f₂) ⊗ f₃ ≃ f₁ ⊗ (f₂ ⊗ f₃)` -/
associator_naturality :
∀ {X₁ X₂ X₃ Y₁ Y₂ Y₃ : C} (f₁ : X₁ ⟶ Y₁) (f₂ : X₂ ⟶ Y₂) (f₃ : X₃ ⟶ Y₃),
((f₁ ⊗ f₂) ⊗ f₃) ≫ (α_ Y₁ Y₂ Y₃).hom = (α_ X₁ X₂ X₃).hom ≫ (f₁ ⊗ (f₂ ⊗ f₃)) := by
aesop_cat
/--
Naturality of the left unitor, commutativity of `𝟙_ C ⊗ X ⟶ 𝟙_ C ⊗ Y ⟶ Y` and `𝟙_ C ⊗ X ⟶ X ⟶ Y`
-/
leftUnitor_naturality :
∀ {X Y : C} (f : X ⟶ Y), 𝟙_ _ ◁ f ≫ (λ_ Y).hom = (λ_ X).hom ≫ f := by
aesop_cat
/--
Naturality of the right unitor: commutativity of `X ⊗ 𝟙_ C ⟶ Y ⊗ 𝟙_ C ⟶ Y` and `X ⊗ 𝟙_ C ⟶ X ⟶ Y`
-/
rightUnitor_naturality :
∀ {X Y : C} (f : X ⟶ Y), f ▷ 𝟙_ _ ≫ (ρ_ Y).hom = (ρ_ X).hom ≫ f := by
aesop_cat
/--
The pentagon identity relating the isomorphism between `X ⊗ (Y ⊗ (Z ⊗ W))` and `((X ⊗ Y) ⊗ Z) ⊗ W`
-/
pentagon :
∀ W X Y Z : C,
(α_ W X Y).hom ▷ Z ≫ (α_ W (X ⊗ Y) Z).hom ≫ W ◁ (α_ X Y Z).hom =
(α_ (W ⊗ X) Y Z).hom ≫ (α_ W X (Y ⊗ Z)).hom := by
aesop_cat
/--
The identity relating the isomorphisms between `X ⊗ (𝟙_ C ⊗ Y)`, `(X ⊗ 𝟙_ C) ⊗ Y` and `X ⊗ Y`
-/
triangle :
∀ X Y : C, (α_ X (𝟙_ _) Y).hom ≫ X ◁ (λ_ Y).hom = (ρ_ X).hom ▷ Y := by
aesop_cat
attribute [reassoc] MonoidalCategory.tensorHom_def
attribute [reassoc, simp] MonoidalCategory.whiskerLeft_id
attribute [reassoc, simp] MonoidalCategory.id_whiskerRight
attribute [reassoc] MonoidalCategory.tensor_comp
attribute [simp] MonoidalCategory.tensor_comp
attribute [reassoc] MonoidalCategory.associator_naturality
attribute [reassoc] MonoidalCategory.leftUnitor_naturality
attribute [reassoc] MonoidalCategory.rightUnitor_naturality
attribute [reassoc (attr := simp)] MonoidalCategory.pentagon
attribute [reassoc (attr := simp)] MonoidalCategory.triangle
namespace MonoidalCategory
variable {C : Type u} [𝒞 : Category.{v} C] [MonoidalCategory C]
@[simp]
theorem id_tensorHom (X : C) {Y₁ Y₂ : C} (f : Y₁ ⟶ Y₂) :
𝟙 X ⊗ f = X ◁ f := by
simp [tensorHom_def]
@[simp]
theorem tensorHom_id {X₁ X₂ : C} (f : X₁ ⟶ X₂) (Y : C) :
f ⊗ 𝟙 Y = f ▷ Y := by
simp [tensorHom_def]
@[reassoc, simp]
theorem whiskerLeft_comp (W : C) {X Y Z : C} (f : X ⟶ Y) (g : Y ⟶ Z) :
W ◁ (f ≫ g) = W ◁ f ≫ W ◁ g := by
simp only [← id_tensorHom, ← tensor_comp, comp_id]
@[reassoc, simp]
theorem id_whiskerLeft {X Y : C} (f : X ⟶ Y) :
𝟙_ C ◁ f = (λ_ X).hom ≫ f ≫ (λ_ Y).inv := by
rw [← assoc, ← leftUnitor_naturality]; simp [id_tensorHom]
@[reassoc, simp]
theorem tensor_whiskerLeft (X Y : C) {Z Z' : C} (f : Z ⟶ Z') :
(X ⊗ Y) ◁ f = (α_ X Y Z).hom ≫ X ◁ Y ◁ f ≫ (α_ X Y Z').inv := by
simp only [← id_tensorHom, ← tensorHom_id]
rw [← assoc, ← associator_naturality]
simp
@[reassoc, simp]
theorem comp_whiskerRight {W X Y : C} (f : W ⟶ X) (g : X ⟶ Y) (Z : C) :
(f ≫ g) ▷ Z = f ▷ Z ≫ g ▷ Z := by
simp only [← tensorHom_id, ← tensor_comp, id_comp]
@[reassoc, simp]
theorem whiskerRight_id {X Y : C} (f : X ⟶ Y) :
f ▷ 𝟙_ C = (ρ_ X).hom ≫ f ≫ (ρ_ Y).inv := by
rw [← assoc, ← rightUnitor_naturality]; simp [tensorHom_id]
@[reassoc, simp]
theorem whiskerRight_tensor {X X' : C} (f : X ⟶ X') (Y Z : C) :
f ▷ (Y ⊗ Z) = (α_ X Y Z).inv ≫ f ▷ Y ▷ Z ≫ (α_ X' Y Z).hom := by
simp only [← id_tensorHom, ← tensorHom_id]
rw [associator_naturality]
simp [tensor_id]
@[reassoc, simp]
theorem whisker_assoc (X : C) {Y Y' : C} (f : Y ⟶ Y') (Z : C) :
(X ◁ f) ▷ Z = (α_ X Y Z).hom ≫ X ◁ f ▷ Z ≫ (α_ X Y' Z).inv := by
simp only [← id_tensorHom, ← tensorHom_id]
rw [← assoc, ← associator_naturality]
simp
@[reassoc]
theorem whisker_exchange {W X Y Z : C} (f : W ⟶ X) (g : Y ⟶ Z) :
W ◁ g ≫ f ▷ Z = f ▷ Y ≫ X ◁ g := by
simp only [← id_tensorHom, ← tensorHom_id, ← tensor_comp, id_comp, comp_id]
@[reassoc]
theorem tensorHom_def' {X₁ Y₁ X₂ Y₂ : C} (f : X₁ ⟶ Y₁) (g : X₂ ⟶ Y₂) :
f ⊗ g = X₁ ◁ g ≫ f ▷ Y₂ :=
whisker_exchange f g ▸ tensorHom_def f g
@[reassoc (attr := simp)]
theorem whiskerLeft_hom_inv (X : C) {Y Z : C} (f : Y ≅ Z) :
X ◁ f.hom ≫ X ◁ f.inv = 𝟙 (X ⊗ Y) := by
rw [← whiskerLeft_comp, hom_inv_id, whiskerLeft_id]
@[reassoc (attr := simp)]
theorem hom_inv_whiskerRight {X Y : C} (f : X ≅ Y) (Z : C) :
f.hom ▷ Z ≫ f.inv ▷ Z = 𝟙 (X ⊗ Z) := by
rw [← comp_whiskerRight, hom_inv_id, id_whiskerRight]
@[reassoc (attr := simp)]
theorem whiskerLeft_inv_hom (X : C) {Y Z : C} (f : Y ≅ Z) :
X ◁ f.inv ≫ X ◁ f.hom = 𝟙 (X ⊗ Z) := by
rw [← whiskerLeft_comp, inv_hom_id, whiskerLeft_id]
@[reassoc (attr := simp)]
theorem inv_hom_whiskerRight {X Y : C} (f : X ≅ Y) (Z : C) :
f.inv ▷ Z ≫ f.hom ▷ Z = 𝟙 (Y ⊗ Z) := by
rw [← comp_whiskerRight, inv_hom_id, id_whiskerRight]
@[reassoc (attr := simp)]
theorem whiskerLeft_hom_inv' (X : C) {Y Z : C} (f : Y ⟶ Z) [IsIso f] :
X ◁ f ≫ X ◁ inv f = 𝟙 (X ⊗ Y) := by
rw [← whiskerLeft_comp, IsIso.hom_inv_id, whiskerLeft_id]
@[reassoc (attr := simp)]
theorem hom_inv_whiskerRight' {X Y : C} (f : X ⟶ Y) [IsIso f] (Z : C) :
f ▷ Z ≫ inv f ▷ Z = 𝟙 (X ⊗ Z) := by
rw [← comp_whiskerRight, IsIso.hom_inv_id, id_whiskerRight]
@[reassoc (attr := simp)]
theorem whiskerLeft_inv_hom' (X : C) {Y Z : C} (f : Y ⟶ Z) [IsIso f] :
X ◁ inv f ≫ X ◁ f = 𝟙 (X ⊗ Z) := by
rw [← whiskerLeft_comp, IsIso.inv_hom_id, whiskerLeft_id]
@[reassoc (attr := simp)]
theorem inv_hom_whiskerRight' {X Y : C} (f : X ⟶ Y) [IsIso f] (Z : C) :
inv f ▷ Z ≫ f ▷ Z = 𝟙 (Y ⊗ Z) := by
rw [← comp_whiskerRight, IsIso.inv_hom_id, id_whiskerRight]
/-- The left whiskering of an isomorphism is an isomorphism. -/
@[simps]
def whiskerLeftIso (X : C) {Y Z : C} (f : Y ≅ Z) : X ⊗ Y ≅ X ⊗ Z where
hom := X ◁ f.hom
inv := X ◁ f.inv
instance whiskerLeft_isIso (X : C) {Y Z : C} (f : Y ⟶ Z) [IsIso f] : IsIso (X ◁ f) :=
(whiskerLeftIso X (asIso f)).isIso_hom
@[simp]
theorem inv_whiskerLeft (X : C) {Y Z : C} (f : Y ⟶ Z) [IsIso f] :
inv (X ◁ f) = X ◁ inv f := by
aesop_cat
@[simp]
lemma whiskerLeftIso_refl (W X : C) :
whiskerLeftIso W (Iso.refl X) = Iso.refl (W ⊗ X) :=
Iso.ext (whiskerLeft_id W X)
@[simp]
lemma whiskerLeftIso_trans (W : C) {X Y Z : C} (f : X ≅ Y) (g : Y ≅ Z) :
whiskerLeftIso W (f ≪≫ g) = whiskerLeftIso W f ≪≫ whiskerLeftIso W g :=
Iso.ext (whiskerLeft_comp W f.hom g.hom)
@[simp]
lemma whiskerLeftIso_symm (W : C) {X Y : C} (f : X ≅ Y) :
(whiskerLeftIso W f).symm = whiskerLeftIso W f.symm := rfl
/-- The right whiskering of an isomorphism is an isomorphism. -/
@[simps!]
def whiskerRightIso {X Y : C} (f : X ≅ Y) (Z : C) : X ⊗ Z ≅ Y ⊗ Z where
hom := f.hom ▷ Z
inv := f.inv ▷ Z
instance whiskerRight_isIso {X Y : C} (f : X ⟶ Y) (Z : C) [IsIso f] : IsIso (f ▷ Z) :=
(whiskerRightIso (asIso f) Z).isIso_hom
@[simp]
theorem inv_whiskerRight {X Y : C} (f : X ⟶ Y) (Z : C) [IsIso f] :
inv (f ▷ Z) = inv f ▷ Z := by
aesop_cat
@[simp]
lemma whiskerRightIso_refl (X W : C) :
whiskerRightIso (Iso.refl X) W = Iso.refl (X ⊗ W) :=
Iso.ext (id_whiskerRight X W)
@[simp]
lemma whiskerRightIso_trans {X Y Z : C} (f : X ≅ Y) (g : Y ≅ Z) (W : C) :
whiskerRightIso (f ≪≫ g) W = whiskerRightIso f W ≪≫ whiskerRightIso g W :=
Iso.ext (comp_whiskerRight f.hom g.hom W)
@[simp]
lemma whiskerRightIso_symm {X Y : C} (f : X ≅ Y) (W : C) :
(whiskerRightIso f W).symm = whiskerRightIso f.symm W := rfl
/-- The tensor product of two isomorphisms is an isomorphism. -/
@[simps]
def tensorIso {X Y X' Y' : C} (f : X ≅ Y)
(g : X' ≅ Y') : X ⊗ X' ≅ Y ⊗ Y' where
hom := f.hom ⊗ g.hom
inv := f.inv ⊗ g.inv
hom_inv_id := by rw [← tensor_comp, Iso.hom_inv_id, Iso.hom_inv_id, ← tensor_id]
inv_hom_id := by rw [← tensor_comp, Iso.inv_hom_id, Iso.inv_hom_id, ← tensor_id]
/-- Notation for `tensorIso`, the tensor product of isomorphisms -/
scoped infixr:70 " ⊗ " => tensorIso
theorem tensorIso_def {X Y X' Y' : C} (f : X ≅ Y) (g : X' ≅ Y') :
f ⊗ g = whiskerRightIso f X' ≪≫ whiskerLeftIso Y g :=
Iso.ext (tensorHom_def f.hom g.hom)
theorem tensorIso_def' {X Y X' Y' : C} (f : X ≅ Y) (g : X' ≅ Y') :
f ⊗ g = whiskerLeftIso X g ≪≫ whiskerRightIso f Y' :=
Iso.ext (tensorHom_def' f.hom g.hom)
instance tensor_isIso {W X Y Z : C} (f : W ⟶ X) [IsIso f] (g : Y ⟶ Z) [IsIso g] : IsIso (f ⊗ g) :=
(asIso f ⊗ asIso g).isIso_hom
@[simp]
theorem inv_tensor {W X Y Z : C} (f : W ⟶ X) [IsIso f] (g : Y ⟶ Z) [IsIso g] :
inv (f ⊗ g) = inv f ⊗ inv g := by
simp [tensorHom_def ,whisker_exchange]
variable {W X Y Z : C}
theorem whiskerLeft_dite {P : Prop} [Decidable P]
(X : C) {Y Z : C} (f : P → (Y ⟶ Z)) (f' : ¬P → (Y ⟶ Z)) :
X ◁ (if h : P then f h else f' h) = if h : P then X ◁ f h else X ◁ f' h := by
split_ifs <;> rfl
theorem dite_whiskerRight {P : Prop} [Decidable P]
{X Y : C} (f : P → (X ⟶ Y)) (f' : ¬P → (X ⟶ Y)) (Z : C) :
(if h : P then f h else f' h) ▷ Z = if h : P then f h ▷ Z else f' h ▷ Z := by
split_ifs <;> rfl
theorem tensor_dite {P : Prop} [Decidable P] {W X Y Z : C} (f : W ⟶ X) (g : P → (Y ⟶ Z))
(g' : ¬P → (Y ⟶ Z)) : (f ⊗ if h : P then g h else g' h) =
if h : P then f ⊗ g h else f ⊗ g' h := by split_ifs <;> rfl
theorem dite_tensor {P : Prop} [Decidable P] {W X Y Z : C} (f : W ⟶ X) (g : P → (Y ⟶ Z))
(g' : ¬P → (Y ⟶ Z)) : (if h : P then g h else g' h) ⊗ f =
if h : P then g h ⊗ f else g' h ⊗ f := by split_ifs <;> rfl
@[simp]
theorem whiskerLeft_eqToHom (X : C) {Y Z : C} (f : Y = Z) :
X ◁ eqToHom f = eqToHom (congr_arg₂ tensorObj rfl f) := by
cases f
simp only [whiskerLeft_id, eqToHom_refl]
@[simp]
theorem eqToHom_whiskerRight {X Y : C} (f : X = Y) (Z : C) :
eqToHom f ▷ Z = eqToHom (congr_arg₂ tensorObj f rfl) := by
cases f
simp only [id_whiskerRight, eqToHom_refl]
@[reassoc]
theorem associator_naturality_left {X X' : C} (f : X ⟶ X') (Y Z : C) :
f ▷ Y ▷ Z ≫ (α_ X' Y Z).hom = (α_ X Y Z).hom ≫ f ▷ (Y ⊗ Z) := by simp
@[reassoc]
theorem associator_inv_naturality_left {X X' : C} (f : X ⟶ X') (Y Z : C) :
f ▷ (Y ⊗ Z) ≫ (α_ X' Y Z).inv = (α_ X Y Z).inv ≫ f ▷ Y ▷ Z := by simp
@[reassoc]
theorem whiskerRight_tensor_symm {X X' : C} (f : X ⟶ X') (Y Z : C) :
f ▷ Y ▷ Z = (α_ X Y Z).hom ≫ f ▷ (Y ⊗ Z) ≫ (α_ X' Y Z).inv := by simp
@[reassoc]
theorem associator_naturality_middle (X : C) {Y Y' : C} (f : Y ⟶ Y') (Z : C) :
(X ◁ f) ▷ Z ≫ (α_ X Y' Z).hom = (α_ X Y Z).hom ≫ X ◁ f ▷ Z := by simp
@[reassoc]
theorem associator_inv_naturality_middle (X : C) {Y Y' : C} (f : Y ⟶ Y') (Z : C) :
X ◁ f ▷ Z ≫ (α_ X Y' Z).inv = (α_ X Y Z).inv ≫ (X ◁ f) ▷ Z := by simp
@[reassoc]
theorem whisker_assoc_symm (X : C) {Y Y' : C} (f : Y ⟶ Y') (Z : C) :
X ◁ f ▷ Z = (α_ X Y Z).inv ≫ (X ◁ f) ▷ Z ≫ (α_ X Y' Z).hom := by simp
@[reassoc]
theorem associator_naturality_right (X Y : C) {Z Z' : C} (f : Z ⟶ Z') :
(X ⊗ Y) ◁ f ≫ (α_ X Y Z').hom = (α_ X Y Z).hom ≫ X ◁ Y ◁ f := by simp
@[reassoc]
theorem associator_inv_naturality_right (X Y : C) {Z Z' : C} (f : Z ⟶ Z') :
X ◁ Y ◁ f ≫ (α_ X Y Z').inv = (α_ X Y Z).inv ≫ (X ⊗ Y) ◁ f := by simp
@[reassoc]
theorem tensor_whiskerLeft_symm (X Y : C) {Z Z' : C} (f : Z ⟶ Z') :
X ◁ Y ◁ f = (α_ X Y Z).inv ≫ (X ⊗ Y) ◁ f ≫ (α_ X Y Z').hom := by simp
|
@[reassoc]
| Mathlib/CategoryTheory/Monoidal/Category.lean | 470 | 471 |
/-
Copyright (c) 2018 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro, Aurélien Saue, Anne Baanen
-/
import Mathlib.Tactic.NormNum.Inv
import Mathlib.Tactic.NormNum.Pow
import Mathlib.Util.AtomM
/-!
# `ring` tactic
A tactic for solving equations in commutative (semi)rings,
where the exponents can also contain variables.
Based on <http://www.cs.ru.nl/~freek/courses/tt-2014/read/10.1.1.61.3041.pdf> .
More precisely, expressions of the following form are supported:
- constants (non-negative integers)
- variables
- coefficients (any rational number, embedded into the (semi)ring)
- addition of expressions
- multiplication of expressions (`a * b`)
- scalar multiplication of expressions (`n • a`; the multiplier must have type `ℕ`)
- exponentiation of expressions (the exponent must have type `ℕ`)
- subtraction and negation of expressions (if the base is a full ring)
The extension to exponents means that something like `2 * 2^n * b = b * 2^(n+1)` can be proved,
even though it is not strictly speaking an equation in the language of commutative rings.
## Implementation notes
The basic approach to prove equalities is to normalise both sides and check for equality.
The normalisation is guided by building a value in the type `ExSum` at the meta level,
together with a proof (at the base level) that the original value is equal to
the normalised version.
The outline of the file:
- Define a mutual inductive family of types `ExSum`, `ExProd`, `ExBase`,
which can represent expressions with `+`, `*`, `^` and rational numerals.
The mutual induction ensures that associativity and distributivity are applied,
by restricting which kinds of subexpressions appear as arguments to the various operators.
- Represent addition, multiplication and exponentiation in the `ExSum` type,
thus allowing us to map expressions to `ExSum` (the `eval` function drives this).
We apply associativity and distributivity of the operators here (helped by `Ex*` types)
and commutativity as well (by sorting the subterms; unfortunately not helped by anything).
Any expression not of the above formats is treated as an atom (the same as a variable).
There are some details we glossed over which make the plan more complicated:
- The order on atoms is not initially obvious.
We construct a list containing them in order of initial appearance in the expression,
then use the index into the list as a key to order on.
- For `pow`, the exponent must be a natural number, while the base can be any semiring `α`.
We swap out operations for the base ring `α` with those for the exponent ring `ℕ`
as soon as we deal with exponents.
## Caveats and future work
The normalized form of an expression is the one that is useful for the tactic,
but not as nice to read. To remedy this, the user-facing normalization calls `ringNFCore`.
Subtraction cancels out identical terms, but division does not.
That is: `a - a = 0 := by ring` solves the goal,
but `a / a := 1 by ring` doesn't.
Note that `0 / 0` is generally defined to be `0`,
so division cancelling out is not true in general.
Multiplication of powers can be simplified a little bit further:
`2 ^ n * 2 ^ n = 4 ^ n := by ring` could be implemented
in a similar way that `2 * a + 2 * a = 4 * a := by ring` already works.
This feature wasn't needed yet, so it's not implemented yet.
## Tags
ring, semiring, exponent, power
-/
assert_not_exists OrderedAddCommMonoid
namespace Mathlib.Tactic
namespace Ring
open Mathlib.Meta Qq NormNum Lean.Meta AtomM
attribute [local instance] monadLiftOptionMetaM
open Lean (MetaM Expr mkRawNatLit)
/-- A shortcut instance for `CommSemiring ℕ` used by ring. -/
def instCommSemiringNat : CommSemiring ℕ := inferInstance
/--
A typed expression of type `CommSemiring ℕ` used when we are working on
ring subexpressions of type `ℕ`.
-/
def sℕ : Q(CommSemiring ℕ) := q(instCommSemiringNat)
mutual
/-- The base `e` of a normalized exponent expression. -/
inductive ExBase : ∀ {u : Lean.Level} {α : Q(Type u)}, Q(CommSemiring $α) → (e : Q($α)) → Type
/--
An atomic expression `e` with id `id`.
Atomic expressions are those which `ring` cannot parse any further.
For instance, `a + (a % b)` has `a` and `(a % b)` as atoms.
The `ring1` tactic does not normalize the subexpressions in atoms, but `ring_nf` does.
Atoms in fact represent equivalence classes of expressions, modulo definitional equality.
The field `index : ℕ` should be a unique number for each class,
while `value : expr` contains a representative of this class.
The function `resolve_atom` determines the appropriate atom for a given expression.
-/
| atom {sα} {e} (id : ℕ) : ExBase sα e
/-- A sum of monomials. -/
| sum {sα} {e} (_ : ExSum sα e) : ExBase sα e
/--
A monomial, which is a product of powers of `ExBase` expressions,
terminated by a (nonzero) constant coefficient.
-/
inductive ExProd : ∀ {u : Lean.Level} {α : Q(Type u)}, Q(CommSemiring $α) → (e : Q($α)) → Type
/-- A coefficient `value`, which must not be `0`. `e` is a raw rat cast.
If `value` is not an integer, then `hyp` should be a proof of `(value.den : α) ≠ 0`. -/
| const {sα} {e} (value : ℚ) (hyp : Option Expr := none) : ExProd sα e
/-- A product `x ^ e * b` is a monomial if `b` is a monomial. Here `x` is an `ExBase`
and `e` is an `ExProd` representing a monomial expression in `ℕ` (it is a monomial instead of
a polynomial because we eagerly normalize `x ^ (a + b) = x ^ a * x ^ b`.) -/
| mul {u : Lean.Level} {α : Q(Type u)} {sα} {x : Q($α)} {e : Q(ℕ)} {b : Q($α)} :
ExBase sα x → ExProd sℕ e → ExProd sα b → ExProd sα q($x ^ $e * $b)
/-- A polynomial expression, which is a sum of monomials. -/
inductive ExSum : ∀ {u : Lean.Level} {α : Q(Type u)}, Q(CommSemiring $α) → (e : Q($α)) → Type
/-- Zero is a polynomial. `e` is the expression `0`. -/
| zero {u : Lean.Level} {α : Q(Type u)} {sα : Q(CommSemiring $α)} : ExSum sα q(0 : $α)
/-- A sum `a + b` is a polynomial if `a` is a monomial and `b` is another polynomial. -/
| add {u : Lean.Level} {α : Q(Type u)} {sα : Q(CommSemiring $α)} {a b : Q($α)} :
ExProd sα a → ExSum sα b → ExSum sα q($a + $b)
end
mutual -- partial only to speed up compilation
/-- Equality test for expressions. This is not a `BEq` instance because it is heterogeneous. -/
partial def ExBase.eq
{u : Lean.Level} {α : Q(Type u)} {sα : Q(CommSemiring $α)} {a b : Q($α)} :
ExBase sα a → ExBase sα b → Bool
| .atom i, .atom j => i == j
| .sum a, .sum b => a.eq b
| _, _ => false
@[inherit_doc ExBase.eq]
partial def ExProd.eq
{u : Lean.Level} {α : Q(Type u)} {sα : Q(CommSemiring $α)} {a b : Q($α)} :
ExProd sα a → ExProd sα b → Bool
| .const i _, .const j _ => i == j
| .mul a₁ a₂ a₃, .mul b₁ b₂ b₃ => a₁.eq b₁ && a₂.eq b₂ && a₃.eq b₃
| _, _ => false
@[inherit_doc ExBase.eq]
partial def ExSum.eq
{u : Lean.Level} {α : Q(Type u)} {sα : Q(CommSemiring $α)} {a b : Q($α)} :
ExSum sα a → ExSum sα b → Bool
| .zero, .zero => true
| .add a₁ a₂, .add b₁ b₂ => a₁.eq b₁ && a₂.eq b₂
| _, _ => false
end
mutual -- partial only to speed up compilation
/--
A total order on normalized expressions.
This is not an `Ord` instance because it is heterogeneous.
-/
partial def ExBase.cmp
{u : Lean.Level} {α : Q(Type u)} {sα : Q(CommSemiring $α)} {a b : Q($α)} :
ExBase sα a → ExBase sα b → Ordering
| .atom i, .atom j => compare i j
| .sum a, .sum b => a.cmp b
| .atom .., .sum .. => .lt
| .sum .., .atom .. => .gt
@[inherit_doc ExBase.cmp]
partial def ExProd.cmp
{u : Lean.Level} {α : Q(Type u)} {sα : Q(CommSemiring $α)} {a b : Q($α)} :
ExProd sα a → ExProd sα b → Ordering
| .const i _, .const j _ => compare i j
| .mul a₁ a₂ a₃, .mul b₁ b₂ b₃ => (a₁.cmp b₁).then (a₂.cmp b₂) |>.then (a₃.cmp b₃)
| .const _ _, .mul .. => .lt
| .mul .., .const _ _ => .gt
@[inherit_doc ExBase.cmp]
partial def ExSum.cmp
{u : Lean.Level} {α : Q(Type u)} {sα : Q(CommSemiring $α)} {a b : Q($α)} :
ExSum sα a → ExSum sα b → Ordering
| .zero, .zero => .eq
| .add a₁ a₂, .add b₁ b₂ => (a₁.cmp b₁).then (a₂.cmp b₂)
| .zero, .add .. => .lt
| .add .., .zero => .gt
end
variable {u : Lean.Level} {α : Q(Type u)} {sα : Q(CommSemiring $α)}
instance : Inhabited (Σ e, (ExBase sα) e) := ⟨default, .atom 0⟩
instance : Inhabited (Σ e, (ExSum sα) e) := ⟨_, .zero⟩
instance : Inhabited (Σ e, (ExProd sα) e) := ⟨default, .const 0 none⟩
mutual
/-- Converts `ExBase sα` to `ExBase sβ`, assuming `sα` and `sβ` are defeq. -/
partial def ExBase.cast
{v : Lean.Level} {β : Q(Type v)} {sβ : Q(CommSemiring $β)} {a : Q($α)} :
ExBase sα a → Σ a, ExBase sβ a
| .atom i => ⟨a, .atom i⟩
| .sum a => let ⟨_, vb⟩ := a.cast; ⟨_, .sum vb⟩
/-- Converts `ExProd sα` to `ExProd sβ`, assuming `sα` and `sβ` are defeq. -/
partial def ExProd.cast
{v : Lean.Level} {β : Q(Type v)} {sβ : Q(CommSemiring $β)} {a : Q($α)} :
ExProd sα a → Σ a, ExProd sβ a
| .const i h => ⟨a, .const i h⟩
| .mul a₁ a₂ a₃ => ⟨_, .mul a₁.cast.2 a₂ a₃.cast.2⟩
/-- Converts `ExSum sα` to `ExSum sβ`, assuming `sα` and `sβ` are defeq. -/
partial def ExSum.cast
{v : Lean.Level} {β : Q(Type v)} {sβ : Q(CommSemiring $β)} {a : Q($α)} :
ExSum sα a → Σ a, ExSum sβ a
| .zero => ⟨_, .zero⟩
| .add a₁ a₂ => ⟨_, .add a₁.cast.2 a₂.cast.2⟩
end
variable {u : Lean.Level}
/--
The result of evaluating an (unnormalized) expression `e` into the type family `E`
(one of `ExSum`, `ExProd`, `ExBase`) is a (normalized) element `e'`
and a representation `E e'` for it, and a proof of `e = e'`.
-/
structure Result {α : Q(Type u)} (E : Q($α) → Type) (e : Q($α)) where
/-- The normalized result. -/
expr : Q($α)
/-- The data associated to the normalization. -/
val : E expr
/-- A proof that the original expression is equal to the normalized result. -/
proof : Q($e = $expr)
instance {α : Q(Type u)} {E : Q($α) → Type} {e : Q($α)} [Inhabited (Σ e, E e)] :
Inhabited (Result E e) :=
let ⟨e', v⟩ : Σ e, E e := default; ⟨e', v, default⟩
variable {α : Q(Type u)} (sα : Q(CommSemiring $α)) {R : Type*} [CommSemiring R]
/--
Constructs the expression corresponding to `.const n`.
(The `.const` constructor does not check that the expression is correct.)
-/
def ExProd.mkNat (n : ℕ) : (e : Q($α)) × ExProd sα e :=
let lit : Q(ℕ) := mkRawNatLit n
⟨q(($lit).rawCast : $α), .const n none⟩
/--
Constructs the expression corresponding to `.const (-n)`.
(The `.const` constructor does not check that the expression is correct.)
-/
def ExProd.mkNegNat (_ : Q(Ring $α)) (n : ℕ) : (e : Q($α)) × ExProd sα e :=
let lit : Q(ℕ) := mkRawNatLit n
⟨q((Int.negOfNat $lit).rawCast : $α), .const (-n) none⟩
/--
Constructs the expression corresponding to `.const q h` for `q = n / d`
and `h` a proof that `(d : α) ≠ 0`.
(The `.const` constructor does not check that the expression is correct.)
-/
def ExProd.mkRat (_ : Q(DivisionRing $α)) (q : ℚ) (n : Q(ℤ)) (d : Q(ℕ)) (h : Expr) :
(e : Q($α)) × ExProd sα e :=
⟨q(Rat.rawCast $n $d : $α), .const q h⟩
section
/-- Embed an exponent (an `ExBase, ExProd` pair) as an `ExProd` by multiplying by 1. -/
def ExBase.toProd {α : Q(Type u)} {sα : Q(CommSemiring $α)} {a : Q($α)} {b : Q(ℕ)}
(va : ExBase sα a) (vb : ExProd sℕ b) :
ExProd sα q($a ^ $b * (nat_lit 1).rawCast) := .mul va vb (.const 1 none)
/-- Embed `ExProd` in `ExSum` by adding 0. -/
def ExProd.toSum {sα : Q(CommSemiring $α)} {e : Q($α)} (v : ExProd sα e) : ExSum sα q($e + 0) :=
.add v .zero
/-- Get the leading coefficient of an `ExProd`. -/
def ExProd.coeff {sα : Q(CommSemiring $α)} {e : Q($α)} : ExProd sα e → ℚ
| .const q _ => q
| .mul _ _ v => v.coeff
end
/--
Two monomials are said to "overlap" if they differ by a constant factor, in which case the
constants just add. When this happens, the constant may be either zero (if the monomials cancel)
or nonzero (if they add up); the zero case is handled specially.
-/
inductive Overlap (e : Q($α)) where
/-- The expression `e` (the sum of monomials) is equal to `0`. -/
| zero (_ : Q(IsNat $e (nat_lit 0)))
/-- The expression `e` (the sum of monomials) is equal to another monomial
(with nonzero leading coefficient). -/
| nonzero (_ : Result (ExProd sα) e)
variable {a a' a₁ a₂ a₃ b b' b₁ b₂ b₃ c c₁ c₂ : R}
theorem add_overlap_pf (x : R) (e) (pq_pf : a + b = c) :
x ^ e * a + x ^ e * b = x ^ e * c := by subst_vars; simp [mul_add]
theorem add_overlap_pf_zero (x : R) (e) :
IsNat (a + b) (nat_lit 0) → IsNat (x ^ e * a + x ^ e * b) (nat_lit 0)
| ⟨h⟩ => ⟨by simp [h, ← mul_add]⟩
-- TODO: decide if this is a good idea globally in
-- https://leanprover.zulipchat.com/#narrow/stream/270676-lean4/topic/.60MonadLift.20Option.20.28OptionT.20m.29.60/near/469097834
private local instance {m} [Pure m] : MonadLift Option (OptionT m) where
monadLift f := .mk <| pure f
/--
Given monomials `va, vb`, attempts to add them together to get another monomial.
If the monomials are not compatible, returns `none`.
For example, `xy + 2xy = 3xy` is a `.nonzero` overlap, while `xy + xz` returns `none`
and `xy + -xy = 0` is a `.zero` overlap.
-/
def evalAddOverlap {a b : Q($α)} (va : ExProd sα a) (vb : ExProd sα b) :
OptionT Lean.Core.CoreM (Overlap sα q($a + $b)) := do
Lean.Core.checkSystem decl_name%.toString
match va, vb with
| .const za ha, .const zb hb => do
let ra := Result.ofRawRat za a ha; let rb := Result.ofRawRat zb b hb
let res ← NormNum.evalAdd.core q($a + $b) q(HAdd.hAdd) a b ra rb
match res with
| .isNat _ (.lit (.natVal 0)) p => pure <| .zero p
| rc =>
let ⟨zc, hc⟩ ← rc.toRatNZ
let ⟨c, pc⟩ := rc.toRawEq
pure <| .nonzero ⟨c, .const zc hc, pc⟩
| .mul (x := a₁) (e := a₂) va₁ va₂ va₃, .mul vb₁ vb₂ vb₃ => do
guard (va₁.eq vb₁ && va₂.eq vb₂)
match ← evalAddOverlap va₃ vb₃ with
| .zero p => pure <| .zero (q(add_overlap_pf_zero $a₁ $a₂ $p) : Expr)
| .nonzero ⟨_, vc, p⟩ =>
pure <| .nonzero ⟨_, .mul va₁ va₂ vc, (q(add_overlap_pf $a₁ $a₂ $p) : Expr)⟩
| _, _ => OptionT.fail
theorem add_pf_zero_add (b : R) : 0 + b = b := by simp
theorem add_pf_add_zero (a : R) : a + 0 = a := by simp
theorem add_pf_add_overlap
(_ : a₁ + b₁ = c₁) (_ : a₂ + b₂ = c₂) : (a₁ + a₂ : R) + (b₁ + b₂) = c₁ + c₂ := by
subst_vars; simp [add_assoc, add_left_comm]
theorem add_pf_add_overlap_zero
(h : IsNat (a₁ + b₁) (nat_lit 0)) (h₄ : a₂ + b₂ = c) : (a₁ + a₂ : R) + (b₁ + b₂) = c := by
subst_vars; rw [add_add_add_comm, h.1, Nat.cast_zero, add_pf_zero_add]
theorem add_pf_add_lt (a₁ : R) (_ : a₂ + b = c) : (a₁ + a₂) + b = a₁ + c := by simp [*, add_assoc]
theorem add_pf_add_gt (b₁ : R) (_ : a + b₂ = c) : a + (b₁ + b₂) = b₁ + c := by
subst_vars; simp [add_left_comm]
/-- Adds two polynomials `va, vb` together to get a normalized result polynomial.
* `0 + b = b`
* `a + 0 = a`
* `a * x + a * y = a * (x + y)` (for `x`, `y` coefficients; uses `evalAddOverlap`)
* `(a₁ + a₂) + (b₁ + b₂) = a₁ + (a₂ + (b₁ + b₂))` (if `a₁.lt b₁`)
* `(a₁ + a₂) + (b₁ + b₂) = b₁ + ((a₁ + a₂) + b₂)` (if not `a₁.lt b₁`)
-/
partial def evalAdd {a b : Q($α)} (va : ExSum sα a) (vb : ExSum sα b) :
Lean.Core.CoreM <| Result (ExSum sα) q($a + $b) := do
Lean.Core.checkSystem decl_name%.toString
match va, vb with
| .zero, vb => return ⟨b, vb, q(add_pf_zero_add $b)⟩
| va, .zero => return ⟨a, va, q(add_pf_add_zero $a)⟩
| .add (a := a₁) (b := _a₂) va₁ va₂, .add (a := b₁) (b := _b₂) vb₁ vb₂ =>
match ← (evalAddOverlap sα va₁ vb₁).run with
| some (.nonzero ⟨_, vc₁, pc₁⟩) =>
let ⟨_, vc₂, pc₂⟩ ← evalAdd va₂ vb₂
return ⟨_, .add vc₁ vc₂, q(add_pf_add_overlap $pc₁ $pc₂)⟩
| some (.zero pc₁) =>
let ⟨c₂, vc₂, pc₂⟩ ← evalAdd va₂ vb₂
return ⟨c₂, vc₂, q(add_pf_add_overlap_zero $pc₁ $pc₂)⟩
| none =>
if let .lt := va₁.cmp vb₁ then
let ⟨_c, vc, (pc : Q($_a₂ + ($b₁ + $_b₂) = $_c))⟩ ← evalAdd va₂ vb
return ⟨_, .add va₁ vc, q(add_pf_add_lt $a₁ $pc)⟩
else
let ⟨_c, vc, (pc : Q($a₁ + $_a₂ + $_b₂ = $_c))⟩ ← evalAdd va vb₂
return ⟨_, .add vb₁ vc, q(add_pf_add_gt $b₁ $pc)⟩
theorem one_mul (a : R) : (nat_lit 1).rawCast * a = a := by simp [Nat.rawCast]
theorem mul_one (a : R) : a * (nat_lit 1).rawCast = a := by simp [Nat.rawCast]
theorem mul_pf_left (a₁ : R) (a₂) (_ : a₃ * b = c) :
(a₁ ^ a₂ * a₃ : R) * b = a₁ ^ a₂ * c := by
subst_vars; rw [mul_assoc]
theorem mul_pf_right (b₁ : R) (b₂) (_ : a * b₃ = c) :
a * (b₁ ^ b₂ * b₃) = b₁ ^ b₂ * c := by
subst_vars; rw [mul_left_comm]
theorem mul_pp_pf_overlap {ea eb e : ℕ} (x : R) (_ : ea + eb = e) (_ : a₂ * b₂ = c) :
(x ^ ea * a₂ : R) * (x ^ eb * b₂) = x ^ e * c := by
subst_vars; simp [pow_add, mul_mul_mul_comm]
/-- Multiplies two monomials `va, vb` together to get a normalized result monomial.
* `x * y = (x * y)` (for `x`, `y` coefficients)
* `x * (b₁ * b₂) = b₁ * (b₂ * x)` (for `x` coefficient)
* `(a₁ * a₂) * y = a₁ * (a₂ * y)` (for `y` coefficient)
* `(x ^ ea * a₂) * (x ^ eb * b₂) = x ^ (ea + eb) * (a₂ * b₂)`
(if `ea` and `eb` are identical except coefficient)
* `(a₁ * a₂) * (b₁ * b₂) = a₁ * (a₂ * (b₁ * b₂))` (if `a₁.lt b₁`)
* `(a₁ * a₂) * (b₁ * b₂) = b₁ * ((a₁ * a₂) * b₂)` (if not `a₁.lt b₁`)
-/
partial def evalMulProd {a b : Q($α)} (va : ExProd sα a) (vb : ExProd sα b) :
Lean.Core.CoreM <| Result (ExProd sα) q($a * $b) := do
Lean.Core.checkSystem decl_name%.toString
match va, vb with
| .const za ha, .const zb hb =>
if za = 1 then
return ⟨b, .const zb hb, (q(one_mul $b) : Expr)⟩
else if zb = 1 then
return ⟨a, .const za ha, (q(mul_one $a) : Expr)⟩
else
let ra := Result.ofRawRat za a ha; let rb := Result.ofRawRat zb b hb
let rc := (NormNum.evalMul.core q($a * $b) q(HMul.hMul) _ _
q(CommSemiring.toSemiring) ra rb).get!
let ⟨zc, hc⟩ := rc.toRatNZ.get!
let ⟨c, pc⟩ := rc.toRawEq
return ⟨c, .const zc hc, pc⟩
| .mul (x := a₁) (e := a₂) va₁ va₂ va₃, .const _ _ =>
let ⟨_, vc, pc⟩ ← evalMulProd va₃ vb
return ⟨_, .mul va₁ va₂ vc, (q(mul_pf_left $a₁ $a₂ $pc) : Expr)⟩
| .const _ _, .mul (x := b₁) (e := b₂) vb₁ vb₂ vb₃ =>
let ⟨_, vc, pc⟩ ← evalMulProd va vb₃
return ⟨_, .mul vb₁ vb₂ vc, (q(mul_pf_right $b₁ $b₂ $pc) : Expr)⟩
| .mul (x := xa) (e := ea) vxa vea va₂, .mul (x := xb) (e := eb) vxb veb vb₂ => do
if vxa.eq vxb then
if let some (.nonzero ⟨_, ve, pe⟩) ← (evalAddOverlap sℕ vea veb).run then
let ⟨_, vc, pc⟩ ← evalMulProd va₂ vb₂
return ⟨_, .mul vxa ve vc, (q(mul_pp_pf_overlap $xa $pe $pc) : Expr)⟩
if let .lt := (vxa.cmp vxb).then (vea.cmp veb) then
let ⟨_, vc, pc⟩ ← evalMulProd va₂ vb
return ⟨_, .mul vxa vea vc, (q(mul_pf_left $xa $ea $pc) : Expr)⟩
else
let ⟨_, vc, pc⟩ ← evalMulProd va vb₂
return ⟨_, .mul vxb veb vc, (q(mul_pf_right $xb $eb $pc) : Expr)⟩
theorem mul_zero (a : R) : a * 0 = 0 := by simp
theorem mul_add {d : R} (_ : (a : R) * b₁ = c₁) (_ : a * b₂ = c₂) (_ : c₁ + 0 + c₂ = d) :
a * (b₁ + b₂) = d := by
subst_vars; simp [_root_.mul_add]
/-- Multiplies a monomial `va` to a polynomial `vb` to get a normalized result polynomial.
* `a * 0 = 0`
* `a * (b₁ + b₂) = (a * b₁) + (a * b₂)`
-/
def evalMul₁ {a b : Q($α)} (va : ExProd sα a) (vb : ExSum sα b) :
Lean.Core.CoreM <| Result (ExSum sα) q($a * $b) := do
match vb with
| .zero => return ⟨_, .zero, q(mul_zero $a)⟩
| .add vb₁ vb₂ =>
let ⟨_, vc₁, pc₁⟩ ← evalMulProd sα va vb₁
let ⟨_, vc₂, pc₂⟩ ← evalMul₁ va vb₂
let ⟨_, vd, pd⟩ ← evalAdd sα vc₁.toSum vc₂
return ⟨_, vd, q(mul_add $pc₁ $pc₂ $pd)⟩
theorem zero_mul (b : R) : 0 * b = 0 := by simp
theorem add_mul {d : R} (_ : (a₁ : R) * b = c₁) (_ : a₂ * b = c₂) (_ : c₁ + c₂ = d) :
(a₁ + a₂) * b = d := by subst_vars; simp [_root_.add_mul]
/-- Multiplies two polynomials `va, vb` together to get a normalized result polynomial.
* `0 * b = 0`
* `(a₁ + a₂) * b = (a₁ * b) + (a₂ * b)`
-/
def evalMul {a b : Q($α)} (va : ExSum sα a) (vb : ExSum sα b) :
Lean.Core.CoreM <| Result (ExSum sα) q($a * $b) := do
match va with
| .zero => return ⟨_, .zero, q(zero_mul $b)⟩
| .add va₁ va₂ =>
let ⟨_, vc₁, pc₁⟩ ← evalMul₁ sα va₁ vb
let ⟨_, vc₂, pc₂⟩ ← evalMul va₂ vb
let ⟨_, vd, pd⟩ ← evalAdd sα vc₁ vc₂
return ⟨_, vd, q(add_mul $pc₁ $pc₂ $pd)⟩
theorem natCast_nat (n) : ((Nat.rawCast n : ℕ) : R) = Nat.rawCast n := by simp
theorem natCast_mul {a₁ a₃ : ℕ} (a₂) (_ : ((a₁ : ℕ) : R) = b₁)
(_ : ((a₃ : ℕ) : R) = b₃) : ((a₁ ^ a₂ * a₃ : ℕ) : R) = b₁ ^ a₂ * b₃ := by
subst_vars; simp
theorem natCast_zero : ((0 : ℕ) : R) = 0 := Nat.cast_zero
theorem natCast_add {a₁ a₂ : ℕ}
(_ : ((a₁ : ℕ) : R) = b₁) (_ : ((a₂ : ℕ) : R) = b₂) : ((a₁ + a₂ : ℕ) : R) = b₁ + b₂ := by
subst_vars; simp
mutual
/-- Applies `Nat.cast` to a nat polynomial to produce a polynomial in `α`.
* An atom `e` causes `↑e` to be allocated as a new atom.
* A sum delegates to `ExSum.evalNatCast`.
-/
partial def ExBase.evalNatCast {a : Q(ℕ)} (va : ExBase sℕ a) : AtomM (Result (ExBase sα) q($a)) :=
match va with
| .atom _ => do
let (i, ⟨b', _⟩) ← addAtomQ q($a)
pure ⟨b', ExBase.atom i, q(Eq.refl $b')⟩
| .sum va => do
let ⟨_, vc, p⟩ ← va.evalNatCast
pure ⟨_, .sum vc, p⟩
/-- Applies `Nat.cast` to a nat monomial to produce a monomial in `α`.
* `↑c = c` if `c` is a numeric literal
* `↑(a ^ n * b) = ↑a ^ n * ↑b`
-/
partial def ExProd.evalNatCast {a : Q(ℕ)} (va : ExProd sℕ a) : AtomM (Result (ExProd sα) q($a)) :=
match va with
| .const c hc =>
have n : Q(ℕ) := a.appArg!
pure ⟨q(Nat.rawCast $n), .const c hc, (q(natCast_nat (R := $α) $n) : Expr)⟩
| .mul (e := a₂) va₁ va₂ va₃ => do
let ⟨_, vb₁, pb₁⟩ ← va₁.evalNatCast
let ⟨_, vb₃, pb₃⟩ ← va₃.evalNatCast
pure ⟨_, .mul vb₁ va₂ vb₃, q(natCast_mul $a₂ $pb₁ $pb₃)⟩
/-- Applies `Nat.cast` to a nat polynomial to produce a polynomial in `α`.
* `↑0 = 0`
* `↑(a + b) = ↑a + ↑b`
-/
partial def ExSum.evalNatCast {a : Q(ℕ)} (va : ExSum sℕ a) : AtomM (Result (ExSum sα) q($a)) :=
match va with
| .zero => pure ⟨_, .zero, q(natCast_zero (R := $α))⟩
| .add va₁ va₂ => do
let ⟨_, vb₁, pb₁⟩ ← va₁.evalNatCast
let ⟨_, vb₂, pb₂⟩ ← va₂.evalNatCast
pure ⟨_, .add vb₁ vb₂, q(natCast_add $pb₁ $pb₂)⟩
end
theorem smul_nat {a b c : ℕ} (_ : (a * b : ℕ) = c) : a • b = c := by subst_vars; simp
theorem smul_eq_cast {a : ℕ} (_ : ((a : ℕ) : R) = a') (_ : a' * b = c) : a • b = c := by
subst_vars; simp
/-- Constructs the scalar multiplication `n • a`, where both `n : ℕ` and `a : α` are normalized
polynomial expressions.
* `a • b = a * b` if `α = ℕ`
* `a • b = ↑a * b` otherwise
-/
def evalNSMul {a : Q(ℕ)} {b : Q($α)} (va : ExSum sℕ a) (vb : ExSum sα b) :
AtomM (Result (ExSum sα) q($a • $b)) := do
if ← isDefEq sα sℕ then
let ⟨_, va'⟩ := va.cast
have _b : Q(ℕ) := b
let ⟨(_c : Q(ℕ)), vc, (pc : Q($a * $_b = $_c))⟩ ← evalMul sα va' vb
pure ⟨_, vc, (q(smul_nat $pc) : Expr)⟩
else
let ⟨_, va', pa'⟩ ← va.evalNatCast sα
let ⟨_, vc, pc⟩ ← evalMul sα va' vb
pure ⟨_, vc, (q(smul_eq_cast $pa' $pc) : Expr)⟩
theorem neg_one_mul {R} [Ring R] {a b : R} (_ : (Int.negOfNat (nat_lit 1)).rawCast * a = b) :
-a = b := by subst_vars; simp [Int.negOfNat]
theorem neg_mul {R} [Ring R] (a₁ : R) (a₂) {a₃ b : R}
(_ : -a₃ = b) : -(a₁ ^ a₂ * a₃) = a₁ ^ a₂ * b := by subst_vars; simp
/-- Negates a monomial `va` to get another monomial.
* `-c = (-c)` (for `c` coefficient)
* `-(a₁ * a₂) = a₁ * -a₂`
-/
def evalNegProd {a : Q($α)} (rα : Q(Ring $α)) (va : ExProd sα a) :
Lean.Core.CoreM <| Result (ExProd sα) q(-$a) := do
Lean.Core.checkSystem decl_name%.toString
match va with
| .const za ha =>
let lit : Q(ℕ) := mkRawNatLit 1
let ⟨m1, _⟩ := ExProd.mkNegNat sα rα 1
let rm := Result.isNegNat rα lit (q(IsInt.of_raw $α (.negOfNat $lit)) : Expr)
let ra := Result.ofRawRat za a ha
let rb := (NormNum.evalMul.core q($m1 * $a) q(HMul.hMul) _ _
q(CommSemiring.toSemiring) rm ra).get!
let ⟨zb, hb⟩ := rb.toRatNZ.get!
let ⟨b, (pb : Q((Int.negOfNat (nat_lit 1)).rawCast * $a = $b))⟩ := rb.toRawEq
return ⟨b, .const zb hb, (q(neg_one_mul (R := $α) $pb) : Expr)⟩
| .mul (x := a₁) (e := a₂) va₁ va₂ va₃ =>
let ⟨_, vb, pb⟩ ← evalNegProd rα va₃
return ⟨_, .mul va₁ va₂ vb, (q(neg_mul $a₁ $a₂ $pb) : Expr)⟩
theorem neg_zero {R} [Ring R] : -(0 : R) = 0 := by simp
theorem neg_add {R} [Ring R] {a₁ a₂ b₁ b₂ : R}
(_ : -a₁ = b₁) (_ : -a₂ = b₂) : -(a₁ + a₂) = b₁ + b₂ := by
subst_vars; simp [add_comm]
/-- Negates a polynomial `va` to get another polynomial.
* `-0 = 0` (for `c` coefficient)
* `-(a₁ + a₂) = -a₁ + -a₂`
-/
def evalNeg {a : Q($α)} (rα : Q(Ring $α)) (va : ExSum sα a) :
Lean.Core.CoreM <| Result (ExSum sα) q(-$a) := do
match va with
| .zero => return ⟨_, .zero, (q(neg_zero (R := $α)) : Expr)⟩
| .add va₁ va₂ =>
let ⟨_, vb₁, pb₁⟩ ← evalNegProd sα rα va₁
let ⟨_, vb₂, pb₂⟩ ← evalNeg rα va₂
return ⟨_, .add vb₁ vb₂, (q(neg_add $pb₁ $pb₂) : Expr)⟩
theorem sub_pf {R} [Ring R] {a b c d : R}
(_ : -b = c) (_ : a + c = d) : a - b = d := by subst_vars; simp [sub_eq_add_neg]
/-- Subtracts two polynomials `va, vb` to get a normalized result polynomial.
* `a - b = a + -b`
-/
def evalSub {α : Q(Type u)} (sα : Q(CommSemiring $α)) {a b : Q($α)}
(rα : Q(Ring $α)) (va : ExSum sα a) (vb : ExSum sα b) :
Lean.Core.CoreM <| Result (ExSum sα) q($a - $b) := do
let ⟨_c, vc, pc⟩ ← evalNeg sα rα vb
let ⟨d, vd, (pd : Q($a + $_c = $d))⟩ ← evalAdd sα va vc
return ⟨d, vd, (q(sub_pf $pc $pd) : Expr)⟩
theorem pow_prod_atom (a : R) (b) : a ^ b = (a + 0) ^ b * (nat_lit 1).rawCast := by simp
/--
The fallback case for exponentiating polynomials is to use `ExBase.toProd` to just build an
exponent expression. (This has a slightly different normalization than `evalPowAtom` because
the input types are different.)
* `x ^ e = (x + 0) ^ e * 1`
-/
def evalPowProdAtom {a : Q($α)} {b : Q(ℕ)} (va : ExProd sα a) (vb : ExProd sℕ b) :
Result (ExProd sα) q($a ^ $b) :=
⟨_, (ExBase.sum va.toSum).toProd vb, q(pow_prod_atom $a $b)⟩
theorem pow_atom (a : R) (b) : a ^ b = a ^ b * (nat_lit 1).rawCast + 0 := by simp
/--
The fallback case for exponentiating polynomials is to use `ExBase.toProd` to just build an
exponent expression.
* `x ^ e = x ^ e * 1 + 0`
-/
def evalPowAtom {a : Q($α)} {b : Q(ℕ)} (va : ExBase sα a) (vb : ExProd sℕ b) :
Result (ExSum sα) q($a ^ $b) :=
⟨_, (va.toProd vb).toSum, q(pow_atom $a $b)⟩
theorem const_pos (n : ℕ) (h : Nat.ble 1 n = true) : 0 < (n.rawCast : ℕ) := Nat.le_of_ble_eq_true h
theorem mul_exp_pos {a₁ a₂ : ℕ} (n) (h₁ : 0 < a₁) (h₂ : 0 < a₂) : 0 < a₁ ^ n * a₂ :=
Nat.mul_pos (Nat.pow_pos h₁) h₂
theorem add_pos_left {a₁ : ℕ} (a₂) (h : 0 < a₁) : 0 < a₁ + a₂ :=
Nat.lt_of_lt_of_le h (Nat.le_add_right ..)
theorem add_pos_right {a₂ : ℕ} (a₁) (h : 0 < a₂) : 0 < a₁ + a₂ :=
Nat.lt_of_lt_of_le h (Nat.le_add_left ..)
mutual
/-- Attempts to prove that a polynomial expression in `ℕ` is positive.
* Atoms are not (necessarily) positive
* Sums defer to `ExSum.evalPos`
-/
partial def ExBase.evalPos {a : Q(ℕ)} (va : ExBase sℕ a) : Option Q(0 < $a) :=
match va with
| .atom _ => none
| .sum va => va.evalPos
/-- Attempts to prove that a monomial expression in `ℕ` is positive.
* `0 < c` (where `c` is a numeral) is true by the normalization invariant (`c` is not zero)
* `0 < x ^ e * b` if `0 < x` and `0 < b`
-/
partial def ExProd.evalPos {a : Q(ℕ)} (va : ExProd sℕ a) : Option Q(0 < $a) :=
match va with
| .const _ _ =>
-- it must be positive because it is a nonzero nat literal
have lit : Q(ℕ) := a.appArg!
haveI : $a =Q Nat.rawCast $lit := ⟨⟩
haveI p : Nat.ble 1 $lit =Q true := ⟨⟩
some q(const_pos $lit $p)
| .mul (e := ea₁) vxa₁ _ va₂ => do
let pa₁ ← vxa₁.evalPos
let pa₂ ← va₂.evalPos
some q(mul_exp_pos $ea₁ $pa₁ $pa₂)
/-- Attempts to prove that a polynomial expression in `ℕ` is positive.
* `0 < 0` fails
* `0 < a + b` if `0 < a` or `0 < b`
-/
partial def ExSum.evalPos {a : Q(ℕ)} (va : ExSum sℕ a) : Option Q(0 < $a) :=
match va with
| .zero => none
| .add (a := a₁) (b := a₂) va₁ va₂ => do
match va₁.evalPos with
| some p => some q(add_pos_left $a₂ $p)
| none => let p ← va₂.evalPos; some q(add_pos_right $a₁ $p)
end
theorem pow_one (a : R) : a ^ nat_lit 1 = a := by simp
theorem pow_bit0 {k : ℕ} (_ : (a : R) ^ k = b) (_ : b * b = c) :
a ^ (Nat.mul (nat_lit 2) k) = c := by
subst_vars; simp [Nat.succ_mul, pow_add]
theorem pow_bit1 {k : ℕ} {d : R} (_ : (a : R) ^ k = b) (_ : b * b = c) (_ : c * a = d) :
a ^ (Nat.add (Nat.mul (nat_lit 2) k) (nat_lit 1)) = d := by
subst_vars; simp [Nat.succ_mul, pow_add]
/--
The main case of exponentiation of ring expressions is when `va` is a polynomial and `n` is a
nonzero literal expression, like `(x + y)^5`. In this case we work out the polynomial completely
into a sum of monomials.
* `x ^ 1 = x`
* `x ^ (2*n) = x ^ n * x ^ n`
* `x ^ (2*n+1) = x ^ n * x ^ n * x`
-/
partial def evalPowNat {a : Q($α)} (va : ExSum sα a) (n : Q(ℕ)) :
Lean.Core.CoreM <| Result (ExSum sα) q($a ^ $n) := do
let nn := n.natLit!
if nn = 1 then
return ⟨_, va, (q(pow_one $a) : Expr)⟩
else
let nm := nn >>> 1
have m : Q(ℕ) := mkRawNatLit nm
if nn &&& 1 = 0 then
let ⟨_, vb, pb⟩ ← evalPowNat va m
let ⟨_, vc, pc⟩ ← evalMul sα vb vb
return ⟨_, vc, (q(pow_bit0 $pb $pc) : Expr)⟩
else
let ⟨_, vb, pb⟩ ← evalPowNat va m
let ⟨_, vc, pc⟩ ← evalMul sα vb vb
let ⟨_, vd, pd⟩ ← evalMul sα vc va
return ⟨_, vd, (q(pow_bit1 $pb $pc $pd) : Expr)⟩
theorem one_pow (b : ℕ) : ((nat_lit 1).rawCast : R) ^ b = (nat_lit 1).rawCast := by simp
theorem mul_pow {ea₁ b c₁ : ℕ} {xa₁ : R}
(_ : ea₁ * b = c₁) (_ : a₂ ^ b = c₂) : (xa₁ ^ ea₁ * a₂ : R) ^ b = xa₁ ^ c₁ * c₂ := by
subst_vars; simp [_root_.mul_pow, pow_mul]
/-- There are several special cases when exponentiating monomials:
* `1 ^ n = 1`
* `x ^ y = (x ^ y)` when `x` and `y` are constants
* `(a * b) ^ e = a ^ e * b ^ e`
| In all other cases we use `evalPowProdAtom`.
| Mathlib/Tactic/Ring/Basic.lean | 768 | 768 |
/-
Copyright (c) 2021 Yaël Dillies. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yaël Dillies
-/
import Mathlib.Order.Interval.Finset.Basic
/-!
# Intervals as multisets
This file defines intervals as multisets.
## Main declarations
In a `LocallyFiniteOrder`,
* `Multiset.Icc`: Closed-closed interval as a multiset.
* `Multiset.Ico`: Closed-open interval as a multiset.
* `Multiset.Ioc`: Open-closed interval as a multiset.
* `Multiset.Ioo`: Open-open interval as a multiset.
In a `LocallyFiniteOrderTop`,
* `Multiset.Ici`: Closed-infinite interval as a multiset.
* `Multiset.Ioi`: Open-infinite interval as a multiset.
In a `LocallyFiniteOrderBot`,
* `Multiset.Iic`: Infinite-open interval as a multiset.
* `Multiset.Iio`: Infinite-closed interval as a multiset.
## TODO
Do we really need this file at all? (March 2024)
-/
variable {α : Type*}
namespace Multiset
section LocallyFiniteOrder
variable [Preorder α] [LocallyFiniteOrder α] {a b x : α}
/-- The multiset of elements `x` such that `a ≤ x` and `x ≤ b`. Basically `Set.Icc a b` as a
multiset. -/
def Icc (a b : α) : Multiset α := (Finset.Icc a b).val
/-- The multiset of elements `x` such that `a ≤ x` and `x < b`. Basically `Set.Ico a b` as a
multiset. -/
def Ico (a b : α) : Multiset α := (Finset.Ico a b).val
/-- The multiset of elements `x` such that `a < x` and `x ≤ b`. Basically `Set.Ioc a b` as a
multiset. -/
def Ioc (a b : α) : Multiset α := (Finset.Ioc a b).val
/-- The multiset of elements `x` such that `a < x` and `x < b`. Basically `Set.Ioo a b` as a
multiset. -/
def Ioo (a b : α) : Multiset α := (Finset.Ioo a b).val
@[simp] lemma mem_Icc : x ∈ Icc a b ↔ a ≤ x ∧ x ≤ b := by rw [Icc, ← Finset.mem_def, Finset.mem_Icc]
@[simp] lemma mem_Ico : x ∈ Ico a b ↔ a ≤ x ∧ x < b := by rw [Ico, ← Finset.mem_def, Finset.mem_Ico]
@[simp] lemma mem_Ioc : x ∈ Ioc a b ↔ a < x ∧ x ≤ b := by rw [Ioc, ← Finset.mem_def, Finset.mem_Ioc]
@[simp] lemma mem_Ioo : x ∈ Ioo a b ↔ a < x ∧ x < b := by rw [Ioo, ← Finset.mem_def, Finset.mem_Ioo]
end LocallyFiniteOrder
| Mathlib/Order/Interval/Multiset.lean | 67 | 67 | |
/-
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.Algebra.Ring.CharZero
import Mathlib.Algebra.Ring.Int.Units
import Mathlib.GroupTheory.Coprod.Basic
import Mathlib.GroupTheory.Complement
/-!
## HNN Extensions of Groups
This file defines the HNN extension of a group `G`, `HNNExtension G A B φ`. Given a group `G`,
subgroups `A` and `B` and an isomorphism `φ` of `A` and `B`, we adjoin a letter `t` to `G`, such
that for any `a ∈ A`, the conjugate of `of a` by `t` is `of (φ a)`, where `of` is the canonical map
from `G` into the `HNNExtension`. This construction is named after Graham Higman, Bernhard Neumann
and Hanna Neumann.
## Main definitions
- `HNNExtension G A B φ` : The HNN Extension of a group `G`, where `A` and `B` are subgroups and `φ`
is an isomorphism between `A` and `B`.
- `HNNExtension.of` : The canonical embedding of `G` into `HNNExtension G A B φ`.
- `HNNExtension.t` : The stable letter of the HNN extension.
- `HNNExtension.lift` : Define a function `HNNExtension G A B φ →* H`, by defining it on `G` and `t`
- `HNNExtension.of_injective` : The canonical embedding `G →* HNNExtension G A B φ` is injective.
- `HNNExtension.ReducedWord.toList_eq_nil_of_mem_of_range` : Britton's Lemma. If an element of
`G` is represented by a reduced word, then this reduced word does not contain `t`.
-/
assert_not_exists Field
open Monoid Coprod Multiplicative Subgroup Function
/-- The relation we quotient the coproduct by to form an `HNNExtension`. -/
def HNNExtension.con (G : Type*) [Group G] (A B : Subgroup G) (φ : A ≃* B) :
Con (G ∗ Multiplicative ℤ) :=
conGen (fun x y => ∃ (a : A),
x = inr (ofAdd 1) * inl (a : G) ∧
y = inl (φ a : G) * inr (ofAdd 1))
/-- The HNN Extension of a group `G`, `HNNExtension G A B φ`. Given a group `G`, subgroups `A` and
`B` and an isomorphism `φ` of `A` and `B`, we adjoin a letter `t` to `G`, such that for
any `a ∈ A`, the conjugate of `of a` by `t` is `of (φ a)`, where `of` is the canonical
map from `G` into the `HNNExtension`. -/
def HNNExtension (G : Type*) [Group G] (A B : Subgroup G) (φ : A ≃* B) : Type _ :=
(HNNExtension.con G A B φ).Quotient
variable {G : Type*} [Group G] {A B : Subgroup G} {φ : A ≃* B} {H : Type*}
[Group H] {M : Type*} [Monoid M]
instance : Group (HNNExtension G A B φ) := by
delta HNNExtension; infer_instance
namespace HNNExtension
/-- The canonical embedding `G →* HNNExtension G A B φ` -/
def of : G →* HNNExtension G A B φ :=
(HNNExtension.con G A B φ).mk'.comp inl
/-- The stable letter of the `HNNExtension` -/
def t : HNNExtension G A B φ :=
(HNNExtension.con G A B φ).mk'.comp inr (ofAdd 1)
theorem t_mul_of (a : A) :
t * (of (a : G) : HNNExtension G A B φ) = of (φ a : G) * t :=
(Con.eq _).2 <| ConGen.Rel.of _ _ <| ⟨a, by simp⟩
theorem of_mul_t (b : B) :
(of (b : G) : HNNExtension G A B φ) * t = t * of (φ.symm b : G) := by
rw [t_mul_of]; simp
theorem equiv_eq_conj (a : A) :
(of (φ a : G) : HNNExtension G A B φ) = t * of (a : G) * t⁻¹ := by
rw [t_mul_of]; simp
theorem equiv_symm_eq_conj (b : B) :
(of (φ.symm b : G) : HNNExtension G A B φ) = t⁻¹ * of (b : G) * t := by
rw [mul_assoc, of_mul_t]; simp
theorem inv_t_mul_of (b : B) :
t⁻¹ * (of (b : G) : HNNExtension G A B φ) = of (φ.symm b : G) * t⁻¹ := by
rw [equiv_symm_eq_conj]; simp
theorem of_mul_inv_t (a : A) :
(of (a : G) : HNNExtension G A B φ) * t⁻¹ = t⁻¹ * of (φ a : G) := by
rw [equiv_eq_conj]; simp [mul_assoc]
/-- Define a function `HNNExtension G A B φ →* H`, by defining it on `G` and `t` -/
def lift (f : G →* H) (x : H) (hx : ∀ a : A, x * f ↑a = f (φ a : G) * x) :
HNNExtension G A B φ →* H :=
Con.lift _ (Coprod.lift f (zpowersHom H x)) (Con.conGen_le <| by
rintro _ _ ⟨a, rfl, rfl⟩
simp [hx])
@[simp]
theorem lift_t (f : G →* H) (x : H) (hx : ∀ a : A, x * f ↑a = f (φ a : G) * x) :
lift f x hx t = x := by
delta HNNExtension; simp [lift, t]
@[simp]
theorem lift_of (f : G →* H) (x : H) (hx : ∀ a : A, x * f ↑a = f (φ a : G) * x) (g : G) :
lift f x hx (of g) = f g := by
delta HNNExtension; simp [lift, of]
@[ext high]
theorem hom_ext {f g : HNNExtension G A B φ →* M}
(hg : f.comp of = g.comp of) (ht : f t = g t) : f = g :=
(MonoidHom.cancel_right Con.mk'_surjective).mp <|
Coprod.hom_ext hg (MonoidHom.ext_mint ht)
@[elab_as_elim]
theorem induction_on {motive : HNNExtension G A B φ → Prop}
(x : HNNExtension G A B φ) (of : ∀ g, motive (of g))
(t : motive t) (mul : ∀ x y, motive x → motive y → motive (x * y))
(inv : ∀ x, motive x → motive x⁻¹) : motive x := by
let S : Subgroup (HNNExtension G A B φ) :=
{ carrier := setOf motive
one_mem' := by simpa using of 1
mul_mem' := mul _ _
inv_mem' := inv _ }
let f : HNNExtension G A B φ →* S :=
lift (HNNExtension.of.codRestrict S of)
⟨HNNExtension.t, t⟩ (by intro a; ext; simp [equiv_eq_conj, mul_assoc])
have hf : S.subtype.comp f = MonoidHom.id _ :=
hom_ext (by ext; simp [f]) (by simp [f])
show motive (MonoidHom.id _ x)
rw [← hf]
exact (f x).2
variable (A B φ)
/-- To avoid duplicating code, we define `toSubgroup A B u` and `toSubgroupEquiv u`
where `u : ℤˣ` is `1` or `-1`. `toSubgroup A B u` is `A` when `u = 1` and `B` when `u = -1`,
and `toSubgroupEquiv` is `φ` when `u = 1` and `φ⁻¹` when `u = -1`. `toSubgroup u` is the subgroup
such that for any `a ∈ toSubgroup u`, `t ^ (u : ℤ) * a = toSubgroupEquiv a * t ^ (u : ℤ)`. -/
def toSubgroup (u : ℤˣ) : Subgroup G :=
if u = 1 then A else B
@[simp]
theorem toSubgroup_one : toSubgroup A B 1 = A := rfl
@[simp]
theorem toSubgroup_neg_one : toSubgroup A B (-1) = B := rfl
variable {A B}
/-- To avoid duplicating code, we define `toSubgroup A B u` and `toSubgroupEquiv u`
where `u : ℤˣ` is `1` or `-1`. `toSubgroup A B u` is `A` when `u = 1` and `B` when `u = -1`,
and `toSubgroupEquiv` is the group ismorphism from `toSubgroup A B u` to `toSubgroup A B (-u)`.
It is defined to be `φ` when `u = 1` and `φ⁻¹` when `u = -1`. -/
def toSubgroupEquiv (u : ℤˣ) : toSubgroup A B u ≃* toSubgroup A B (-u) :=
if hu : u = 1 then hu ▸ φ else by
convert φ.symm <;>
cases Int.units_eq_one_or u <;> simp_all
@[simp]
theorem toSubgroupEquiv_one : toSubgroupEquiv φ 1 = φ := rfl
@[simp]
theorem toSubgroupEquiv_neg_one : toSubgroupEquiv φ (-1) = φ.symm := rfl
@[simp]
theorem toSubgroupEquiv_neg_apply (u : ℤˣ) (a : toSubgroup A B u) :
(toSubgroupEquiv φ (-u) (toSubgroupEquiv φ u a) : G) = a := by
rcases Int.units_eq_one_or u with rfl | rfl
· simp [toSubgroup]
· simp only [toSubgroup_neg_one, toSubgroupEquiv_neg_one, SetLike.coe_eq_coe]
exact φ.apply_symm_apply a
namespace NormalWord
variable (G A B)
/-- To put word in the HNN Extension into a normal form, we must choose an element of each right
coset of both `A` and `B`, such that the chosen element of the subgroup itself is `1`. -/
structure TransversalPair : Type _ where
/-- The transversal of each subgroup -/
set : ℤˣ → Set G
/-- We have exactly one element of each coset of the subgroup -/
compl : ∀ u, IsComplement (toSubgroup A B u : Subgroup G) (set u)
instance TransversalPair.nonempty : Nonempty (TransversalPair G A B) := by
choose t ht using fun u ↦ (toSubgroup A B u).exists_isComplement_right 1
exact ⟨⟨t, fun i ↦ (ht i).1⟩⟩
/-- A reduced word is a `head`, which is an element of `G`, followed by the product list of pairs.
There should also be no sequences of the form `t^u * g * t^-u`, where `g` is in
`toSubgroup A B u` This is a less strict condition than required for `NormalWord`. -/
structure ReducedWord : Type _ where
/-- Every `ReducedWord` is the product of an element of the group and a word made up
of letters each of which is in the transversal. `head` is that element of the base group. -/
head : G
/-- The list of pairs `(ℤˣ × G)`, where each pair `(u, g)` represents the element `t^u * g` of
`HNNExtension G A B φ` -/
toList : List (ℤˣ × G)
/-- There are no sequences of the form `t^u * g * t^-u` where `g ∈ toSubgroup A B u` -/
chain : toList.Chain' (fun a b => a.2 ∈ toSubgroup A B a.1 → a.1 = b.1)
/-- The empty reduced word. -/
@[simps]
def ReducedWord.empty : ReducedWord G A B :=
{ head := 1
toList := []
chain := List.chain'_nil }
variable {G A B}
/-- The product of a `ReducedWord` as an element of the `HNNExtension` -/
def ReducedWord.prod : ReducedWord G A B → HNNExtension G A B φ :=
fun w => of w.head * (w.toList.map (fun x => t ^ (x.1 : ℤ) * of x.2)).prod
/-- Given a `TransversalPair`, we can make a normal form for words in the `HNNExtension G A B φ`.
The normal form is a `head`, which is an element of `G`, followed by the product list of pairs,
`t ^ u * g`, where `u` is `1` or `-1` and `g` is the chosen element of its right coset of
`toSubgroup A B u`. There should also be no sequences of the form `t^u * g * t^-u`
where `g ∈ toSubgroup A B u` -/
structure _root_.HNNExtension.NormalWord (d : TransversalPair G A B) : Type _
extends ReducedWord G A B where
/-- Every element `g : G` in the list is the chosen element of its coset -/
mem_set : ∀ (u : ℤˣ) (g : G), (u, g) ∈ toList → g ∈ d.set u
variable {d : TransversalPair G A B}
@[ext]
theorem ext {w w' : NormalWord d}
(h1 : w.head = w'.head) (h2 : w.toList = w'.toList) : w = w' := by
rcases w with ⟨⟨⟩, _⟩; cases w'; simp_all
/-- The empty word -/
@[simps]
def empty : NormalWord d :=
{ head := 1
toList := []
mem_set := by simp
chain := List.chain'_nil }
/-- The `NormalWord` representing an element `g` of the group `G`, which is just the element `g`
itself. -/
@[simps]
def ofGroup (g : G) : NormalWord d :=
{ head := g
toList := []
mem_set := by simp
chain := List.chain'_nil }
instance : Inhabited (NormalWord d) := ⟨empty⟩
instance : MulAction G (NormalWord d) :=
{ smul := fun g w => { w with head := g * w.head }
one_smul := by simp [instHSMul]
mul_smul := by simp [instHSMul, mul_assoc] }
theorem group_smul_def (g : G) (w : NormalWord d) :
g • w = { w with head := g * w.head } := rfl
@[simp]
theorem group_smul_head (g : G) (w : NormalWord d) : (g • w).head = g * w.head := rfl
@[simp]
theorem group_smul_toList (g : G) (w : NormalWord d) : (g • w).toList = w.toList := rfl
instance : FaithfulSMul G (NormalWord d) := ⟨by simp [group_smul_def]⟩
/-- A constructor to append an element `g` of `G` and `u : ℤˣ` to a word `w` with sufficient
hypotheses that no normalization or cancellation need take place for the result to be in normal form
-/
@[simps]
def cons (g : G) (u : ℤˣ) (w : NormalWord d) (h1 : w.head ∈ d.set u)
(h2 : ∀ u' ∈ Option.map Prod.fst w.toList.head?, w.head ∈ toSubgroup A B u → u = u') :
NormalWord d :=
{ head := g,
toList := (u, w.head) :: w.toList,
mem_set := by
intro u' g' h'
simp only [List.mem_cons, Prod.mk.injEq] at h'
rcases h' with ⟨rfl, rfl⟩ | h'
· exact h1
· exact w.mem_set _ _ h'
chain := by
refine List.chain'_cons'.2 ⟨?_, w.chain⟩
rintro ⟨u', g'⟩ hu' hw1
exact h2 _ (by simp_all) hw1 }
/-- A recursor to induct on a `NormalWord`, by proving the property is preserved under `cons` -/
@[elab_as_elim]
def consRecOn {motive : NormalWord d → Sort*} (w : NormalWord d)
(ofGroup : ∀ g, motive (ofGroup g))
(cons : ∀ (g : G) (u : ℤˣ) (w : NormalWord d) (h1 : w.head ∈ d.set u)
(h2 : ∀ u' ∈ Option.map Prod.fst w.toList.head?,
w.head ∈ toSubgroup A B u → u = u'),
motive w → motive (cons g u w h1 h2)) : motive w := by
rcases w with ⟨⟨g, l, chain⟩, mem_set⟩
induction l generalizing g with
| nil => exact ofGroup _
| cons a l ih =>
exact cons g a.1
{ head := a.2
toList := l
mem_set := fun _ _ h => mem_set _ _ (List.mem_cons_of_mem _ h),
chain := (List.chain'_cons'.1 chain).2 }
(mem_set a.1 a.2 List.mem_cons_self)
(by simpa using (List.chain'_cons'.1 chain).1)
(ih _ _ _)
@[simp]
theorem consRecOn_ofGroup {motive : NormalWord d → Sort*}
(g : G) (ofGroup : ∀ g, motive (ofGroup g))
(cons : ∀ (g : G) (u : ℤˣ) (w : NormalWord d) (h1 : w.head ∈ d.set u)
(h2 : ∀ u' ∈ Option.map Prod.fst w.toList.head?, w.head
∈ toSubgroup A B u → u = u'),
motive w → motive (cons g u w h1 h2)) :
consRecOn (.ofGroup g) ofGroup cons = ofGroup g := rfl
@[simp]
theorem consRecOn_cons {motive : NormalWord d → Sort*}
(g : G) (u : ℤˣ) (w : NormalWord d) (h1 : w.head ∈ d.set u)
(h2 : ∀ u' ∈ Option.map Prod.fst w.toList.head?, w.head ∈ toSubgroup A B u → u = u')
(ofGroup : ∀ g, motive (ofGroup g))
(cons : ∀ (g : G) (u : ℤˣ) (w : NormalWord d) (h1 : w.head ∈ d.set u)
(h2 : ∀ u' ∈ Option.map Prod.fst w.toList.head?,
w.head ∈ toSubgroup A B u → u = u'),
motive w → motive (cons g u w h1 h2)) :
consRecOn (.cons g u w h1 h2) ofGroup cons = cons g u w h1 h2
(consRecOn w ofGroup cons) := rfl
@[simp]
theorem smul_cons (g₁ g₂ : G) (u : ℤˣ) (w : NormalWord d) (h1 : w.head ∈ d.set u)
(h2 : ∀ u' ∈ Option.map Prod.fst w.toList.head?, w.head ∈ toSubgroup A B u → u = u') :
g₁ • cons g₂ u w h1 h2 = cons (g₁ * g₂) u w h1 h2 :=
rfl
@[simp]
theorem smul_ofGroup (g₁ g₂ : G) :
g₁ • (ofGroup g₂ : NormalWord d) = ofGroup (g₁ * g₂) := rfl
variable (d)
/-- The action of `t^u` on `ofGroup g`. The normal form will be
`a * t^u * g'` where `a ∈ toSubgroup A B (-u)` -/
noncomputable def unitsSMulGroup (u : ℤˣ) (g : G) :
(toSubgroup A B (-u)) × d.set u :=
let g' := (d.compl u).equiv g
(toSubgroupEquiv φ u g'.1, g'.2)
theorem unitsSMulGroup_snd (u : ℤˣ) (g : G) :
(unitsSMulGroup φ d u g).2 = ((d.compl u).equiv g).2 := by
rcases Int.units_eq_one_or u with rfl | rfl <;> rfl
variable {d}
/-- `Cancels u w` is a predicate expressing whether `t^u` cancels with some occurrence
of `t^-u` when we multiply `t^u` by `w`. -/
def Cancels (u : ℤˣ) (w : NormalWord d) : Prop :=
(w.head ∈ (toSubgroup A B u : Subgroup G)) ∧ w.toList.head?.map Prod.fst = some (-u)
/-- Multiplying `t^u` by `w` in the special case where cancellation happens -/
def unitsSMulWithCancel (u : ℤˣ) (w : NormalWord d) : Cancels u w → NormalWord d :=
consRecOn w
(by simp [Cancels, ofGroup]; tauto)
(fun g _ w _ _ _ can =>
(toSubgroupEquiv φ u ⟨g, can.1⟩ : G) • w)
/-- Multiplying `t^u` by a `NormalWord`, `w` and putting the result in normal form. -/
noncomputable def unitsSMul (u : ℤˣ) (w : NormalWord d) : NormalWord d :=
letI := Classical.dec
if h : Cancels u w
then unitsSMulWithCancel φ u w h
else let g' := unitsSMulGroup φ d u w.head
cons g'.1 u ((g'.2 * w.head⁻¹ : G) • w)
(by simp)
(by
simp only [g', group_smul_toList, Option.mem_def, Option.map_eq_some_iff, Prod.exists,
exists_and_right, exists_eq_right, group_smul_head, inv_mul_cancel_right,
forall_exists_index, unitsSMulGroup]
simp only [Cancels, Option.map_eq_some_iff, Prod.exists, exists_and_right, exists_eq_right,
not_and, not_exists] at h
intro u' x hx hmem
have : w.head ∈ toSubgroup A B u := by
have := (d.compl u).rightCosetEquivalence_equiv_snd w.head
rw [RightCosetEquivalence, rightCoset_eq_iff, mul_mem_cancel_left hmem] at this
simp_all
have := h this x
simp_all [Int.units_ne_iff_eq_neg])
/-- A condition for not cancelling whose hypothese are the same as those of the `cons` function. -/
theorem not_cancels_of_cons_hyp (u : ℤˣ) (w : NormalWord d)
(h2 : ∀ u' ∈ Option.map Prod.fst w.toList.head?,
w.head ∈ toSubgroup A B u → u = u') :
¬ Cancels u w := by
simp only [Cancels, Option.map_eq_some_iff, Prod.exists,
exists_and_right, exists_eq_right, not_and, not_exists]
intro hw x hx
rw [hx] at h2
simpa using h2 (-u) rfl hw
theorem unitsSMul_cancels_iff (u : ℤˣ) (w : NormalWord d) :
Cancels (-u) (unitsSMul φ u w) ↔ ¬ Cancels u w := by
by_cases h : Cancels u w
· simp only [unitsSMul, h, dite_true, not_true_eq_false, iff_false]
induction w using consRecOn with
| ofGroup => simp [Cancels, unitsSMulWithCancel]
| cons g u' w h1 h2 _ =>
intro hc
apply not_cancels_of_cons_hyp _ _ h2
simp only [Cancels, cons_head, cons_toList, List.head?_cons,
Option.map_some', Option.some.injEq] at h
cases h.2
simpa [Cancels, unitsSMulWithCancel,
Subgroup.mul_mem_cancel_left] using hc
· simp only [unitsSMul, dif_neg h]
simpa [Cancels] using h
theorem unitsSMul_neg (u : ℤˣ) (w : NormalWord d) :
unitsSMul φ (-u) (unitsSMul φ u w) = w := by
rw [unitsSMul]
split_ifs with hcan
· have hncan : ¬ Cancels u w := (unitsSMul_cancels_iff _ _ _).1 hcan
unfold unitsSMul
simp only [dif_neg hncan]
simp [unitsSMulWithCancel, unitsSMulGroup, (d.compl u).equiv_snd_eq_inv_mul,
-SetLike.coe_sort_coe]
· have hcan2 : Cancels u w := not_not.1 (mt (unitsSMul_cancels_iff _ _ _).2 hcan)
unfold unitsSMul at hcan ⊢
simp only [dif_pos hcan2] at hcan ⊢
cases w using consRecOn with
| ofGroup => simp [Cancels] at hcan2
| cons g u' w h1 h2 ih =>
clear ih
simp only [unitsSMulGroup, SetLike.coe_sort_coe, unitsSMulWithCancel, id_eq, consRecOn_cons,
group_smul_head, IsComplement.equiv_mul_left, map_mul, Submonoid.coe_mul, coe_toSubmonoid,
toSubgroupEquiv_neg_apply, mul_inv_rev]
cases hcan2.2
have : ((d.compl (-u)).equiv w.head).1 = 1 :=
(d.compl (-u)).equiv_fst_eq_one_of_mem_of_one_mem _ h1
apply NormalWord.ext
· -- This used to `simp [this]` before https://github.com/leanprover/lean4/pull/2644
dsimp
conv_lhs => erw [IsComplement.equiv_mul_left]
rw [map_mul, Submonoid.coe_mul, toSubgroupEquiv_neg_apply, this]
simp
· -- The next two lines were not needed before https://github.com/leanprover/lean4/pull/2644
dsimp
conv_lhs => erw [IsComplement.equiv_mul_left]
simp [mul_assoc, Units.ext_iff, (d.compl (-u)).equiv_snd_eq_inv_mul, this,
-SetLike.coe_sort_coe]
/-- the equivalence given by multiplication on the left by `t` -/
@[simps]
noncomputable def unitsSMulEquiv : NormalWord d ≃ NormalWord d :=
{ toFun := unitsSMul φ 1
invFun := unitsSMul φ (-1),
left_inv := fun _ => by rw [unitsSMul_neg]
right_inv := fun w => by convert unitsSMul_neg _ _ w; simp }
theorem unitsSMul_one_group_smul (g : A) (w : NormalWord d) :
unitsSMul φ 1 ((g : G) • w) = (φ g : G) • (unitsSMul φ 1 w) := by
unfold unitsSMul
have : Cancels 1 ((g : G) • w) ↔ Cancels 1 w := by
simp [Cancels, Subgroup.mul_mem_cancel_left]
by_cases hcan : Cancels 1 w
· simp [unitsSMulWithCancel, dif_pos (this.2 hcan), dif_pos hcan]
cases w using consRecOn
· simp [Cancels] at hcan
· simp only [smul_cons, consRecOn_cons, mul_smul]
rw [← mul_smul, ← Subgroup.coe_mul, ← map_mul φ]
rfl
· rw [dif_neg (mt this.1 hcan), dif_neg hcan]
simp [← mul_smul, mul_assoc, unitsSMulGroup]
-- This used to be the end of the proof before https://github.com/leanprover/lean4/pull/2644
dsimp
congr 1
· conv_lhs => erw [IsComplement.equiv_mul_left]
simp_rw [toSubgroup_one]
simp only [SetLike.coe_sort_coe, map_mul, Subgroup.coe_mul]
conv_lhs => erw [IsComplement.equiv_mul_left]
rfl
noncomputable instance : MulAction (HNNExtension G A B φ) (NormalWord d) :=
MulAction.ofEndHom <| (MulAction.toEndHom (M := Equiv.Perm (NormalWord d))).comp
(HNNExtension.lift (MulAction.toPermHom _ _) (unitsSMulEquiv φ) <| by
intro a
ext : 1
simp [unitsSMul_one_group_smul])
@[simp]
theorem prod_group_smul (g : G) (w : NormalWord d) :
(g • w).prod φ = of g * (w.prod φ) := by
simp [ReducedWord.prod, smul_def, mul_assoc]
theorem of_smul_eq_smul (g : G) (w : NormalWord d) :
(of g : HNNExtension G A B φ) • w = g • w := by
simp [instHSMul, SMul.smul, MulAction.toEndHom]
theorem t_smul_eq_unitsSMul (w : NormalWord d) :
(t : HNNExtension G A B φ) • w = unitsSMul φ 1 w := by
simp [instHSMul, SMul.smul, MulAction.toEndHom]
theorem t_pow_smul_eq_unitsSMul (u : ℤˣ) (w : NormalWord d) :
(t ^ (u : ℤ) : HNNExtension G A B φ) • w = unitsSMul φ u w := by
rcases Int.units_eq_one_or u with (rfl | rfl) <;>
simp [instHSMul, SMul.smul, MulAction.toEndHom, Equiv.Perm.inv_def]
@[simp]
theorem prod_cons (g : G) (u : ℤˣ) (w : NormalWord d) (h1 : w.head ∈ d.set u)
(h2 : ∀ u' ∈ Option.map Prod.fst w.toList.head?,
w.head ∈ toSubgroup A B u → u = u') :
(cons g u w h1 h2).prod φ = of g * (t ^ (u : ℤ) * w.prod φ) := by
simp [ReducedWord.prod, cons, smul_def, mul_assoc]
theorem prod_unitsSMul (u : ℤˣ) (w : NormalWord d) :
(unitsSMul φ u w).prod φ = (t^(u : ℤ) * w.prod φ : HNNExtension G A B φ) := by
rw [unitsSMul]
split_ifs with hcan
· cases w using consRecOn
· simp [Cancels] at hcan
· cases hcan.2
simp [unitsSMulWithCancel]
rcases Int.units_eq_one_or u with (rfl | rfl)
· simp [equiv_eq_conj, mul_assoc]
· simp [equiv_symm_eq_conj, mul_assoc]
-- This used to be the end of the proof before https://github.com/leanprover/lean4/pull/2644
erw [equiv_symm_eq_conj]
simp [equiv_symm_eq_conj, mul_assoc]
· simp [unitsSMulGroup]
rcases Int.units_eq_one_or u with (rfl | rfl)
· simp [equiv_eq_conj, mul_assoc, (d.compl _).equiv_snd_eq_inv_mul]
-- This used to be the end of the proof before https://github.com/leanprover/lean4/pull/2644
erw [(d.compl 1).equiv_snd_eq_inv_mul]
simp [equiv_eq_conj, mul_assoc, (d.compl _).equiv_snd_eq_inv_mul]
· simp [equiv_symm_eq_conj, mul_assoc, (d.compl _).equiv_snd_eq_inv_mul]
-- This used to be the end of the proof before https://github.com/leanprover/lean4/pull/2644
erw [equiv_symm_eq_conj, (d.compl (-1)).equiv_snd_eq_inv_mul]
simp [equiv_symm_eq_conj, mul_assoc, (d.compl _).equiv_snd_eq_inv_mul]
@[simp]
theorem prod_empty : (empty : NormalWord d).prod φ = 1 := by
simp [ReducedWord.prod]
@[simp]
theorem prod_smul (g : HNNExtension G A B φ) (w : NormalWord d) :
(g • w).prod φ = g * w.prod φ := by
induction g using induction_on generalizing w with
| of => simp [of_smul_eq_smul]
| t => simp [t_smul_eq_unitsSMul, prod_unitsSMul, mul_assoc]
| mul => simp_all [mul_smul, mul_assoc]
| inv x ih =>
rw [← mul_right_inj x, ← ih]
simp
@[simp]
theorem prod_smul_empty (w : NormalWord d) :
(w.prod φ) • empty = w := by
induction w using consRecOn with
| | ofGroup => simp [ofGroup, ReducedWord.prod, of_smul_eq_smul, group_smul_def]
| cons g u w h1 h2 ih =>
rw [prod_cons, ← mul_assoc, mul_smul, ih, mul_smul, t_pow_smul_eq_unitsSMul,
of_smul_eq_smul, unitsSMul]
rw [dif_neg (not_cancels_of_cons_hyp u w h2)]
simp [unitsSMulGroup, (d.compl _).equiv_fst_eq_one_of_mem_of_one_mem (one_mem _) h1,
-SetLike.coe_sort_coe]
ext <;> simp [-SetLike.coe_sort_coe]
-- The next 3 lines were not needed before https://github.com/leanprover/lean4/pull/2644
rw [(d.compl _).equiv_snd_eq_inv_mul,
(d.compl _).equiv_fst_eq_one_of_mem_of_one_mem (one_mem _) h1]
simp
variable (d)
/-- The equivalence between elements of the HNN extension and words in normal form. -/
noncomputable def equiv : HNNExtension G A B φ ≃ NormalWord d :=
{ toFun := fun g => g • empty,
invFun := fun w => w.prod φ,
| Mathlib/GroupTheory/HNNExtension.lean | 555 | 572 |
/-
Copyright (c) 2022 Rémy Degenne. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Rémy Degenne, Kexing Ying
-/
import Mathlib.MeasureTheory.Function.ConditionalExpectation.Indicator
import Mathlib.MeasureTheory.Function.UniformIntegrable
import Mathlib.MeasureTheory.VectorMeasure.Decomposition.RadonNikodym
/-!
# Conditional expectation of real-valued functions
This file proves some results regarding the conditional expectation of real-valued functions.
## Main results
* `MeasureTheory.rnDeriv_ae_eq_condExp`: the conditional expectation `μ[f | m]` is equal to the
Radon-Nikodym derivative of `fμ` restricted on `m` with respect to `μ` restricted on `m`.
* `MeasureTheory.Integrable.uniformIntegrable_condExp`: the conditional expectation of a function
form a uniformly integrable class.
* `MeasureTheory.condExp_mul_of_stronglyMeasurable_left`: the pull-out property of the conditional
expectation.
-/
noncomputable section
open TopologicalSpace MeasureTheory.Lp Filter ContinuousLinearMap
open scoped NNReal ENNReal Topology MeasureTheory
namespace MeasureTheory
variable {α : Type*} {m m0 : MeasurableSpace α} {μ : Measure α}
theorem rnDeriv_ae_eq_condExp {hm : m ≤ m0} [hμm : SigmaFinite (μ.trim hm)] {f : α → ℝ}
(hf : Integrable f μ) :
SignedMeasure.rnDeriv ((μ.withDensityᵥ f).trim hm) (μ.trim hm) =ᵐ[μ] μ[f|m] := by
refine ae_eq_condExp_of_forall_setIntegral_eq hm hf ?_ ?_ ?_
· exact fun _ _ _ => (integrable_of_integrable_trim hm
(SignedMeasure.integrable_rnDeriv ((μ.withDensityᵥ f).trim hm) (μ.trim hm))).integrableOn
· intro s hs _
conv_rhs => rw [← hf.withDensityᵥ_trim_eq_integral hm hs,
← SignedMeasure.withDensityᵥ_rnDeriv_eq ((μ.withDensityᵥ f).trim hm) (μ.trim hm)
(hf.withDensityᵥ_trim_absolutelyContinuous hm)]
rw [withDensityᵥ_apply
(SignedMeasure.integrable_rnDeriv ((μ.withDensityᵥ f).trim hm) (μ.trim hm)) hs,
← setIntegral_trim hm _ hs]
exact (SignedMeasure.measurable_rnDeriv _ _).stronglyMeasurable
· exact (SignedMeasure.measurable_rnDeriv _ _).stronglyMeasurable.aestronglyMeasurable
@[deprecated (since := "2025-01-21")] alias rnDeriv_ae_eq_condexp := rnDeriv_ae_eq_condExp
-- TODO: the following couple of lemmas should be generalized and proved using Jensen's inequality
-- for the conditional expectation (not in mathlib yet) .
theorem eLpNorm_one_condExp_le_eLpNorm (f : α → ℝ) : eLpNorm (μ[f|m]) 1 μ ≤ eLpNorm f 1 μ := by
by_cases hf : Integrable f μ
swap; · rw [condExp_of_not_integrable hf, eLpNorm_zero]; exact zero_le _
by_cases hm : m ≤ m0
swap; · rw [condExp_of_not_le hm, eLpNorm_zero]; exact zero_le _
by_cases hsig : SigmaFinite (μ.trim hm)
swap; · rw [condExp_of_not_sigmaFinite hm hsig, eLpNorm_zero]; exact zero_le _
calc
eLpNorm (μ[f|m]) 1 μ ≤ eLpNorm (μ[(|f|)|m]) 1 μ := by
refine eLpNorm_mono_ae ?_
filter_upwards [condExp_mono hf hf.abs
(ae_of_all μ (fun x => le_abs_self (f x) : ∀ x, f x ≤ |f x|)),
(condExp_neg ..).symm.le.trans (condExp_mono hf.neg hf.abs
(ae_of_all μ (fun x => neg_le_abs (f x) : ∀ x, -f x ≤ |f x|)))] with x hx₁ hx₂
exact abs_le_abs hx₁ hx₂
_ = eLpNorm f 1 μ := by
rw [eLpNorm_one_eq_lintegral_enorm, eLpNorm_one_eq_lintegral_enorm,
← ENNReal.toReal_eq_toReal (hasFiniteIntegral_iff_enorm.mp integrable_condExp.2).ne
(hasFiniteIntegral_iff_enorm.mp hf.2).ne,
← integral_norm_eq_lintegral_enorm
(stronglyMeasurable_condExp.mono hm).aestronglyMeasurable,
← integral_norm_eq_lintegral_enorm hf.1]
simp_rw [Real.norm_eq_abs]
rw (config := {occs := .pos [2]}) [← integral_condExp hm]
refine integral_congr_ae ?_
have : 0 ≤ᵐ[μ] μ[(|f|)|m] := by
rw [← condExp_zero]
exact condExp_mono (integrable_zero _ _ _) hf.abs
(ae_of_all μ (fun x => abs_nonneg (f x) : ∀ x, 0 ≤ |f x|))
filter_upwards [this] with x hx
exact abs_eq_self.2 hx
@[deprecated (since := "2025-01-21")]
alias eLpNorm_one_condexp_le_eLpNorm := eLpNorm_one_condExp_le_eLpNorm
theorem integral_abs_condExp_le (f : α → ℝ) : ∫ x, |(μ[f|m]) x| ∂μ ≤ ∫ x, |f x| ∂μ := by
by_cases hm : m ≤ m0
swap
· simp_rw [condExp_of_not_le hm, Pi.zero_apply, abs_zero, integral_zero]
positivity
by_cases hfint : Integrable f μ
swap
· simp only [condExp_of_not_integrable hfint, Pi.zero_apply, abs_zero, integral_const,
Algebra.id.smul_eq_mul, mul_zero]
positivity
rw [integral_eq_lintegral_of_nonneg_ae, integral_eq_lintegral_of_nonneg_ae]
· apply ENNReal.toReal_mono <;> simp_rw [← Real.norm_eq_abs, ofReal_norm_eq_enorm]
· exact hfint.2.ne
· rw [← eLpNorm_one_eq_lintegral_enorm, ← eLpNorm_one_eq_lintegral_enorm]
exact eLpNorm_one_condExp_le_eLpNorm _
· filter_upwards with x using abs_nonneg _
· simp_rw [← Real.norm_eq_abs]
exact hfint.1.norm
· filter_upwards with x using abs_nonneg _
· simp_rw [← Real.norm_eq_abs]
exact (stronglyMeasurable_condExp.mono hm).aestronglyMeasurable.norm
@[deprecated (since := "2025-01-21")] alias integral_abs_condexp_le := integral_abs_condExp_le
theorem setIntegral_abs_condExp_le {s : Set α} (hs : MeasurableSet[m] s) (f : α → ℝ) :
∫ x in s, |(μ[f|m]) x| ∂μ ≤ ∫ x in s, |f x| ∂μ := by
by_cases hnm : m ≤ m0
swap
· simp_rw [condExp_of_not_le hnm, Pi.zero_apply, abs_zero, integral_zero]
positivity
by_cases hfint : Integrable f μ
swap
· simp only [condExp_of_not_integrable hfint, Pi.zero_apply, abs_zero, integral_const,
Algebra.id.smul_eq_mul, mul_zero]
positivity
have : ∫ x in s, |(μ[f|m]) x| ∂μ = ∫ x, |(μ[s.indicator f|m]) x| ∂μ := by
rw [← integral_indicator (hnm _ hs)]
refine integral_congr_ae ?_
have : (fun x => |(μ[s.indicator f|m]) x|) =ᵐ[μ] fun x => |s.indicator (μ[f|m]) x| :=
(condExp_indicator hfint hs).fun_comp abs
refine EventuallyEq.trans (Eventually.of_forall fun x => ?_) this.symm
rw [← Real.norm_eq_abs, norm_indicator_eq_indicator_norm]
simp only [Real.norm_eq_abs]
rw [this, ← integral_indicator (hnm _ hs)]
refine (integral_abs_condExp_le _).trans
(le_of_eq <| integral_congr_ae <| Eventually.of_forall fun x => ?_)
simp_rw [← Real.norm_eq_abs, norm_indicator_eq_indicator_norm]
@[deprecated (since := "2025-01-21")] alias setIntegral_abs_condexp_le := setIntegral_abs_condExp_le
/-- If the real valued function `f` is bounded almost everywhere by `R`, then so is its conditional
expectation. -/
theorem ae_bdd_condExp_of_ae_bdd {R : ℝ≥0} {f : α → ℝ} (hbdd : ∀ᵐ x ∂μ, |f x| ≤ R) :
∀ᵐ x ∂μ, |(μ[f|m]) x| ≤ R := by
by_cases hnm : m ≤ m0
swap
· simp_rw [condExp_of_not_le hnm, Pi.zero_apply, abs_zero]
exact Eventually.of_forall fun _ => R.coe_nonneg
by_cases hfint : Integrable f μ
swap
· simp_rw [condExp_of_not_integrable hfint]
filter_upwards [hbdd] with x hx
rw [Pi.zero_apply, abs_zero]
exact (abs_nonneg _).trans hx
by_contra h
change μ _ ≠ 0 at h
simp only [← zero_lt_iff, Set.compl_def, Set.mem_setOf_eq, not_le] at h
suffices μ.real {x | ↑R < |(μ[f|m]) x|} * ↑R < μ.real {x | ↑R < |(μ[f|m]) x|} * ↑R by
exact this.ne rfl
refine lt_of_lt_of_le (setIntegral_gt_gt R.coe_nonneg ?_ h.ne') ?_
· exact integrable_condExp.abs.integrableOn
refine (setIntegral_abs_condExp_le ?_ _).trans ?_
· simp_rw [← Real.norm_eq_abs]
exact @measurableSet_lt _ _ _ _ _ m _ _ _ _ _ measurable_const
stronglyMeasurable_condExp.norm.measurable
simp only [← smul_eq_mul, ← setIntegral_const, NNReal.val_eq_coe, RCLike.ofReal_real_eq_id,
_root_.id]
refine setIntegral_mono_ae hfint.abs.integrableOn ?_ hbdd
refine ⟨aestronglyMeasurable_const, lt_of_le_of_lt ?_
(integrable_condExp.integrableOn : IntegrableOn (μ[f|m]) {x | ↑R < |(μ[f|m]) x|} μ).2⟩
refine setLIntegral_mono
(stronglyMeasurable_condExp.mono hnm).measurable.nnnorm.coe_nnreal_ennreal fun x hx => ?_
rw [enorm_eq_nnnorm, enorm_eq_nnnorm, ENNReal.coe_le_coe, Real.nnnorm_of_nonneg R.coe_nonneg]
exact Subtype.mk_le_mk.2 (le_of_lt hx)
@[deprecated (since := "2025-01-21")] alias ae_bdd_condexp_of_ae_bdd := ae_bdd_condExp_of_ae_bdd
/-- Given an integrable function `g`, the conditional expectations of `g` with respect to
a sequence of sub-σ-algebras is uniformly integrable. -/
theorem Integrable.uniformIntegrable_condExp {ι : Type*} [IsFiniteMeasure μ] {g : α → ℝ}
(hint : Integrable g μ) {ℱ : ι → MeasurableSpace α} (hℱ : ∀ i, ℱ i ≤ m0) :
UniformIntegrable (fun i => μ[g|ℱ i]) 1 μ := by
let A : MeasurableSpace α := m0
have hmeas : ∀ n, ∀ C, MeasurableSet {x | C ≤ ‖(μ[g|ℱ n]) x‖₊} := fun n C =>
measurableSet_le measurable_const (stronglyMeasurable_condExp.mono (hℱ n)).measurable.nnnorm
have hg : MemLp g 1 μ := memLp_one_iff_integrable.2 hint
refine uniformIntegrable_of le_rfl ENNReal.one_ne_top
(fun n => (stronglyMeasurable_condExp.mono (hℱ n)).aestronglyMeasurable) fun ε hε => ?_
by_cases hne : eLpNorm g 1 μ = 0
· rw [eLpNorm_eq_zero_iff hg.1 one_ne_zero] at hne
refine ⟨0, fun n => (le_of_eq <|
(eLpNorm_eq_zero_iff ((stronglyMeasurable_condExp.mono (hℱ n)).aestronglyMeasurable.indicator
(hmeas n 0)) one_ne_zero).2 ?_).trans (zero_le _)⟩
filter_upwards [condExp_congr_ae (m := ℱ n) hne] with x hx
simp only [zero_le', Set.setOf_true, Set.indicator_univ, Pi.zero_apply, hx, condExp_zero]
obtain ⟨δ, hδ, h⟩ := hg.eLpNorm_indicator_le le_rfl ENNReal.one_ne_top hε
set C : ℝ≥0 := ⟨δ, hδ.le⟩⁻¹ * (eLpNorm g 1 μ).toNNReal with hC
have hCpos : 0 < C := mul_pos (inv_pos.2 hδ) (ENNReal.toNNReal_pos hne hg.eLpNorm_lt_top.ne)
have : ∀ n, μ {x : α | C ≤ ‖(μ[g|ℱ n]) x‖₊} ≤ ENNReal.ofReal δ := by
intro n
have := mul_meas_ge_le_pow_eLpNorm' μ one_ne_zero ENNReal.one_ne_top
((stronglyMeasurable_condExp (m := ℱ n) (μ := μ) (f := g)).mono (hℱ n)).aestronglyMeasurable C
rw [ENNReal.toReal_one, ENNReal.rpow_one, ENNReal.rpow_one, mul_comm, ←
ENNReal.le_div_iff_mul_le (Or.inl (ENNReal.coe_ne_zero.2 hCpos.ne'))
(Or.inl ENNReal.coe_lt_top.ne)] at this
simp_rw [ENNReal.coe_le_coe] at this
refine this.trans ?_
rw [ENNReal.div_le_iff_le_mul (Or.inl (ENNReal.coe_ne_zero.2 hCpos.ne'))
(Or.inl ENNReal.coe_lt_top.ne),
hC, Nonneg.inv_mk, ENNReal.coe_mul, ENNReal.coe_toNNReal hg.eLpNorm_lt_top.ne, ← mul_assoc, ←
ENNReal.ofReal_eq_coe_nnreal, ← ENNReal.ofReal_mul hδ.le, mul_inv_cancel₀ hδ.ne',
ENNReal.ofReal_one, one_mul]
exact eLpNorm_one_condExp_le_eLpNorm _
refine ⟨C, fun n => le_trans ?_ (h {x : α | C ≤ ‖(μ[g|ℱ n]) x‖₊} (hmeas n C) (this n))⟩
have hmeasℱ : MeasurableSet[ℱ n] {x : α | C ≤ ‖(μ[g|ℱ n]) x‖₊} :=
@measurableSet_le _ _ _ _ _ (ℱ n) _ _ _ _ _ measurable_const
(@Measurable.nnnorm _ _ _ _ _ (ℱ n) _ stronglyMeasurable_condExp.measurable)
rw [← eLpNorm_congr_ae (condExp_indicator hint hmeasℱ)]
exact eLpNorm_one_condExp_le_eLpNorm _
@[deprecated (since := "2025-01-21")]
alias Integrable.uniformIntegrable_condexp := Integrable.uniformIntegrable_condExp
section PullOut
-- TODO: this section could be generalized beyond multiplication, to any bounded bilinear map.
/-- Auxiliary lemma for `condExp_mul_of_stronglyMeasurable_left`. -/
theorem condExp_stronglyMeasurable_simpleFunc_mul (hm : m ≤ m0) (f : @SimpleFunc α m ℝ) {g : α → ℝ}
(hg : Integrable g μ) : μ[(f * g : α → ℝ)|m] =ᵐ[μ] f * μ[g|m] := by
have : ∀ (s c) (f : α → ℝ), Set.indicator s (Function.const α c) * f = s.indicator (c • f) := by
intro s c f
ext1 x
by_cases hx : x ∈ s
· simp only [hx, Pi.mul_apply, Set.indicator_of_mem, Pi.smul_apply, Algebra.id.smul_eq_mul,
Function.const_apply]
· simp only [hx, Pi.mul_apply, Set.indicator_of_not_mem, not_false_iff, zero_mul]
apply @SimpleFunc.induction _ _ m _ (fun f => _)
(fun c s hs => ?_) (fun g₁ g₂ _ h_eq₁ h_eq₂ => ?_) f
· simp only [SimpleFunc.const_zero, SimpleFunc.coe_piecewise,
SimpleFunc.coe_const, SimpleFunc.coe_zero, Set.piecewise_eq_indicator]
rw [this, this]
refine (condExp_indicator (hg.smul c) hs).trans ?_
filter_upwards [condExp_smul c g m] with x hx
classical simp_rw [Set.indicator_apply, hx]
· have h_add := @SimpleFunc.coe_add _ _ m _ g₁ g₂
calc
μ[⇑(g₁ + g₂) * g|m] =ᵐ[μ] μ[(⇑g₁ + ⇑g₂) * g|m] := by
refine condExp_congr_ae (EventuallyEq.mul ?_ EventuallyEq.rfl); rw [h_add]
_ =ᵐ[μ] μ[⇑g₁ * g|m] + μ[⇑g₂ * g|m] := by
rw [add_mul]; exact condExp_add (hg.simpleFunc_mul' hm _) (hg.simpleFunc_mul' hm _) _
_ =ᵐ[μ] ⇑g₁ * μ[g|m] + ⇑g₂ * μ[g|m] := EventuallyEq.add h_eq₁ h_eq₂
_ =ᵐ[μ] ⇑(g₁ + g₂) * μ[g|m] := by rw [h_add, add_mul]
@[deprecated (since := "2025-01-21")]
alias condexp_stronglyMeasurable_simpleFunc_mul := condExp_stronglyMeasurable_simpleFunc_mul
theorem condExp_stronglyMeasurable_mul_of_bound (hm : m ≤ m0) [IsFiniteMeasure μ] {f g : α → ℝ}
(hf : StronglyMeasurable[m] f) (hg : Integrable g μ) (c : ℝ) (hf_bound : ∀ᵐ x ∂μ, ‖f x‖ ≤ c) :
μ[f * g|m] =ᵐ[μ] f * μ[g|m] := by
let fs := hf.approxBounded c
have hfs_tendsto : ∀ᵐ x ∂μ, Tendsto (fs · x) atTop (𝓝 (f x)) :=
hf.tendsto_approxBounded_ae hf_bound
by_cases hμ : μ = 0
· simp only [hμ, ae_zero]; norm_cast
have : (ae μ).NeBot := ae_neBot.2 hμ
have hc : 0 ≤ c := by
rcases hf_bound.exists with ⟨_x, hx⟩
exact (norm_nonneg _).trans hx
have hfs_bound : ∀ n x, ‖fs n x‖ ≤ c := hf.norm_approxBounded_le hc
have : μ[f * μ[g|m]|m] = f * μ[g|m] := by
refine condExp_of_stronglyMeasurable hm (hf.mul stronglyMeasurable_condExp) ?_
exact integrable_condExp.bdd_mul' (hf.mono hm).aestronglyMeasurable hf_bound
rw [← this]
refine tendsto_condExp_unique (fun n x => fs n x * g x) (fun n x => fs n x * (μ[g|m]) x) (f * g)
(f * μ[g|m]) ?_ ?_ ?_ ?_ (c * ‖g ·‖) ?_ (c * ‖(μ[g|m]) ·‖) ?_ ?_ ?_ ?_
· exact fun n => hg.bdd_mul' ((SimpleFunc.stronglyMeasurable (fs n)).mono hm).aestronglyMeasurable
(Eventually.of_forall (hfs_bound n))
· exact fun n => integrable_condExp.bdd_mul'
((SimpleFunc.stronglyMeasurable (fs n)).mono hm).aestronglyMeasurable
(Eventually.of_forall (hfs_bound n))
· filter_upwards [hfs_tendsto] with x hx
exact hx.mul tendsto_const_nhds
· filter_upwards [hfs_tendsto] with x hx
exact hx.mul tendsto_const_nhds
· exact hg.norm.const_mul c
· fun_prop
· refine fun n => Eventually.of_forall fun x => ?_
exact (norm_mul_le _ _).trans (mul_le_mul_of_nonneg_right (hfs_bound n x) (norm_nonneg _))
· refine fun n => Eventually.of_forall fun x => ?_
exact (norm_mul_le _ _).trans (mul_le_mul_of_nonneg_right (hfs_bound n x) (norm_nonneg _))
· intro n
simp_rw [← Pi.mul_apply]
refine (condExp_stronglyMeasurable_simpleFunc_mul hm _ hg).trans ?_
rw [condExp_of_stronglyMeasurable hm
((SimpleFunc.stronglyMeasurable _).mul stronglyMeasurable_condExp) _]
exact integrable_condExp.bdd_mul'
((SimpleFunc.stronglyMeasurable (fs n)).mono hm).aestronglyMeasurable
(Eventually.of_forall (hfs_bound n))
@[deprecated (since := "2025-01-21")]
| alias condexp_stronglyMeasurable_mul_of_bound := condExp_stronglyMeasurable_mul_of_bound
theorem condExp_stronglyMeasurable_mul_of_bound₀ (hm : m ≤ m0) [IsFiniteMeasure μ] {f g : α → ℝ}
(hf : AEStronglyMeasurable[m] f μ) (hg : Integrable g μ) (c : ℝ)
(hf_bound : ∀ᵐ x ∂μ, ‖f x‖ ≤ c) : μ[f * g|m] =ᵐ[μ] f * μ[g|m] := by
have : μ[f * g|m] =ᵐ[μ] μ[hf.mk f * g|m] :=
condExp_congr_ae (EventuallyEq.mul hf.ae_eq_mk EventuallyEq.rfl)
refine this.trans ?_
have : f * μ[g|m] =ᵐ[μ] hf.mk f * μ[g|m] := EventuallyEq.mul hf.ae_eq_mk EventuallyEq.rfl
refine EventuallyEq.trans ?_ this.symm
refine condExp_stronglyMeasurable_mul_of_bound hm hf.stronglyMeasurable_mk hg c ?_
| Mathlib/MeasureTheory/Function/ConditionalExpectation/Real.lean | 303 | 313 |
/-
Copyright (c) 2022 Yaël Dillies. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yaël Dillies
-/
import Mathlib.Order.PropInstances
import Mathlib.Order.GaloisConnection.Defs
/-!
# Heyting algebras
This file defines Heyting, co-Heyting and bi-Heyting algebras.
A Heyting algebra is a bounded distributive lattice with an implication operation `⇨` such that
`a ≤ b ⇨ c ↔ a ⊓ b ≤ c`. It also comes with a pseudo-complement `ᶜ`, such that `aᶜ = a ⇨ ⊥`.
Co-Heyting algebras are dual to Heyting algebras. They have a difference `\` and a negation `￢`
such that `a \ b ≤ c ↔ a ≤ b ⊔ c` and `￢a = ⊤ \ a`.
Bi-Heyting algebras are Heyting algebras that are also co-Heyting algebras.
From a logic standpoint, Heyting algebras precisely model intuitionistic logic, whereas boolean
algebras model classical logic.
Heyting algebras are the order theoretic equivalent of cartesian-closed categories.
## Main declarations
* `GeneralizedHeytingAlgebra`: Heyting algebra without a top element (nor negation).
* `GeneralizedCoheytingAlgebra`: Co-Heyting algebra without a bottom element (nor complement).
* `HeytingAlgebra`: Heyting algebra.
* `CoheytingAlgebra`: Co-Heyting algebra.
* `BiheytingAlgebra`: bi-Heyting algebra.
## References
* [Francis Borceux, *Handbook of Categorical Algebra III*][borceux-vol3]
## Tags
Heyting, Brouwer, algebra, implication, negation, intuitionistic
-/
assert_not_exists RelIso
open Function OrderDual
universe u
variable {ι α β : Type*}
/-! ### Notation -/
section
variable (α β)
instance Prod.instHImp [HImp α] [HImp β] : HImp (α × β) :=
⟨fun a b => (a.1 ⇨ b.1, a.2 ⇨ b.2)⟩
instance Prod.instHNot [HNot α] [HNot β] : HNot (α × β) :=
⟨fun a => (￢a.1, ￢a.2)⟩
instance Prod.instSDiff [SDiff α] [SDiff β] : SDiff (α × β) :=
⟨fun a b => (a.1 \ b.1, a.2 \ b.2)⟩
instance Prod.instHasCompl [HasCompl α] [HasCompl β] : HasCompl (α × β) :=
⟨fun a => (a.1ᶜ, a.2ᶜ)⟩
end
@[simp]
theorem fst_himp [HImp α] [HImp β] (a b : α × β) : (a ⇨ b).1 = a.1 ⇨ b.1 :=
rfl
@[simp]
theorem snd_himp [HImp α] [HImp β] (a b : α × β) : (a ⇨ b).2 = a.2 ⇨ b.2 :=
rfl
@[simp]
theorem fst_hnot [HNot α] [HNot β] (a : α × β) : (￢a).1 = ￢a.1 :=
rfl
@[simp]
theorem snd_hnot [HNot α] [HNot β] (a : α × β) : (￢a).2 = ￢a.2 :=
rfl
@[simp]
theorem fst_sdiff [SDiff α] [SDiff β] (a b : α × β) : (a \ b).1 = a.1 \ b.1 :=
rfl
@[simp]
theorem snd_sdiff [SDiff α] [SDiff β] (a b : α × β) : (a \ b).2 = a.2 \ b.2 :=
rfl
@[simp]
theorem fst_compl [HasCompl α] [HasCompl β] (a : α × β) : aᶜ.1 = a.1ᶜ :=
rfl
@[simp]
theorem snd_compl [HasCompl α] [HasCompl β] (a : α × β) : aᶜ.2 = a.2ᶜ :=
rfl
namespace Pi
variable {π : ι → Type*}
instance [∀ i, HImp (π i)] : HImp (∀ i, π i) :=
⟨fun a b i => a i ⇨ b i⟩
instance [∀ i, HNot (π i)] : HNot (∀ i, π i) :=
⟨fun a i => ￢a i⟩
theorem himp_def [∀ i, HImp (π i)] (a b : ∀ i, π i) : a ⇨ b = fun i => a i ⇨ b i :=
rfl
theorem hnot_def [∀ i, HNot (π i)] (a : ∀ i, π i) : ￢a = fun i => ￢a i :=
rfl
@[simp]
theorem himp_apply [∀ i, HImp (π i)] (a b : ∀ i, π i) (i : ι) : (a ⇨ b) i = a i ⇨ b i :=
rfl
@[simp]
theorem hnot_apply [∀ i, HNot (π i)] (a : ∀ i, π i) (i : ι) : (￢a) i = ￢a i :=
rfl
end Pi
/-- A generalized Heyting algebra is a lattice with an additional binary operation `⇨` called
Heyting implication such that `(a ⇨ ·)` is right adjoint to `(a ⊓ ·)`.
This generalizes `HeytingAlgebra` by not requiring a bottom element. -/
class GeneralizedHeytingAlgebra (α : Type*) extends Lattice α, OrderTop α, HImp α where
/-- `(a ⇨ ·)` is right adjoint to `(a ⊓ ·)` -/
le_himp_iff (a b c : α) : a ≤ b ⇨ c ↔ a ⊓ b ≤ c
/-- A generalized co-Heyting algebra is a lattice with an additional binary
difference operation `\` such that `(· \ a)` is left adjoint to `(· ⊔ a)`.
This generalizes `CoheytingAlgebra` by not requiring a top element. -/
class GeneralizedCoheytingAlgebra (α : Type*) extends Lattice α, OrderBot α, SDiff α where
/-- `(· \ a)` is left adjoint to `(· ⊔ a)` -/
sdiff_le_iff (a b c : α) : a \ b ≤ c ↔ a ≤ b ⊔ c
/-- A Heyting algebra is a bounded lattice with an additional binary operation `⇨` called Heyting
implication such that `(a ⇨ ·)` is right adjoint to `(a ⊓ ·)`. -/
class HeytingAlgebra (α : Type*) extends GeneralizedHeytingAlgebra α, OrderBot α, HasCompl α where
/-- `aᶜ` is defined as `a ⇨ ⊥` -/
himp_bot (a : α) : a ⇨ ⊥ = aᶜ
/-- A co-Heyting algebra is a bounded lattice with an additional binary difference operation `\`
such that `(· \ a)` is left adjoint to `(· ⊔ a)`. -/
class CoheytingAlgebra (α : Type*) extends GeneralizedCoheytingAlgebra α, OrderTop α, HNot α where
/-- `⊤ \ a` is `￢a` -/
top_sdiff (a : α) : ⊤ \ a = ￢a
/-- A bi-Heyting algebra is a Heyting algebra that is also a co-Heyting algebra. -/
class BiheytingAlgebra (α : Type*) extends HeytingAlgebra α, SDiff α, HNot α where
/-- `(· \ a)` is left adjoint to `(· ⊔ a)` -/
sdiff_le_iff (a b c : α) : a \ b ≤ c ↔ a ≤ b ⊔ c
/-- `⊤ \ a` is `￢a` -/
top_sdiff (a : α) : ⊤ \ a = ￢a
-- See note [lower instance priority]
attribute [instance 100] GeneralizedHeytingAlgebra.toOrderTop
attribute [instance 100] GeneralizedCoheytingAlgebra.toOrderBot
-- See note [lower instance priority]
instance (priority := 100) HeytingAlgebra.toBoundedOrder [HeytingAlgebra α] : BoundedOrder α :=
{ bot_le := ‹HeytingAlgebra α›.bot_le }
-- See note [lower instance priority]
instance (priority := 100) CoheytingAlgebra.toBoundedOrder [CoheytingAlgebra α] : BoundedOrder α :=
{ ‹CoheytingAlgebra α› with }
-- See note [lower instance priority]
instance (priority := 100) BiheytingAlgebra.toCoheytingAlgebra [BiheytingAlgebra α] :
CoheytingAlgebra α :=
{ ‹BiheytingAlgebra α› with }
-- See note [reducible non-instances]
/-- Construct a Heyting algebra from the lattice structure and Heyting implication alone. -/
abbrev HeytingAlgebra.ofHImp [DistribLattice α] [BoundedOrder α] (himp : α → α → α)
(le_himp_iff : ∀ a b c, a ≤ himp b c ↔ a ⊓ b ≤ c) : HeytingAlgebra α :=
{ ‹DistribLattice α›, ‹BoundedOrder α› with
himp,
compl := fun a => himp a ⊥,
le_himp_iff,
himp_bot := fun _ => rfl }
-- See note [reducible non-instances]
/-- Construct a Heyting algebra from the lattice structure and complement operator alone. -/
abbrev HeytingAlgebra.ofCompl [DistribLattice α] [BoundedOrder α] (compl : α → α)
(le_himp_iff : ∀ a b c, a ≤ compl b ⊔ c ↔ a ⊓ b ≤ c) : HeytingAlgebra α where
himp := (compl · ⊔ ·)
compl := compl
le_himp_iff := le_himp_iff
himp_bot _ := sup_bot_eq _
-- See note [reducible non-instances]
/-- Construct a co-Heyting algebra from the lattice structure and the difference alone. -/
abbrev CoheytingAlgebra.ofSDiff [DistribLattice α] [BoundedOrder α] (sdiff : α → α → α)
(sdiff_le_iff : ∀ a b c, sdiff a b ≤ c ↔ a ≤ b ⊔ c) : CoheytingAlgebra α :=
{ ‹DistribLattice α›, ‹BoundedOrder α› with
sdiff,
hnot := fun a => sdiff ⊤ a,
sdiff_le_iff,
top_sdiff := fun _ => rfl }
-- See note [reducible non-instances]
/-- Construct a co-Heyting algebra from the difference and Heyting negation alone. -/
abbrev CoheytingAlgebra.ofHNot [DistribLattice α] [BoundedOrder α] (hnot : α → α)
(sdiff_le_iff : ∀ a b c, a ⊓ hnot b ≤ c ↔ a ≤ b ⊔ c) : CoheytingAlgebra α where
sdiff a b := a ⊓ hnot b
hnot := hnot
sdiff_le_iff := sdiff_le_iff
top_sdiff _ := top_inf_eq _
/-! In this section, we'll give interpretations of these results in the Heyting algebra model of
intuitionistic logic,- where `≤` can be interpreted as "validates", `⇨` as "implies", `⊓` as "and",
`⊔` as "or", `⊥` as "false" and `⊤` as "true". Note that we confuse `→` and `⊢` because those are
the same in this logic.
See also `Prop.heytingAlgebra`. -/
section GeneralizedHeytingAlgebra
variable [GeneralizedHeytingAlgebra α] {a b c d : α}
/-- `p → q → r ↔ p ∧ q → r` -/
@[simp]
theorem le_himp_iff : a ≤ b ⇨ c ↔ a ⊓ b ≤ c :=
GeneralizedHeytingAlgebra.le_himp_iff _ _ _
/-- `p → q → r ↔ q ∧ p → r` -/
theorem le_himp_iff' : a ≤ b ⇨ c ↔ b ⊓ a ≤ c := by rw [le_himp_iff, inf_comm]
/-- `p → q → r ↔ q → p → r` -/
theorem le_himp_comm : a ≤ b ⇨ c ↔ b ≤ a ⇨ c := by rw [le_himp_iff, le_himp_iff']
/-- `p → q → p` -/
theorem le_himp : a ≤ b ⇨ a :=
le_himp_iff.2 inf_le_left
/-- `p → p → q ↔ p → q` -/
theorem le_himp_iff_left : a ≤ a ⇨ b ↔ a ≤ b := by rw [le_himp_iff, inf_idem]
/-- `p → p` -/
@[simp]
theorem himp_self : a ⇨ a = ⊤ :=
top_le_iff.1 <| le_himp_iff.2 inf_le_right
/-- `(p → q) ∧ p → q` -/
theorem himp_inf_le : (a ⇨ b) ⊓ a ≤ b :=
le_himp_iff.1 le_rfl
/-- `p ∧ (p → q) → q` -/
theorem inf_himp_le : a ⊓ (a ⇨ b) ≤ b := by rw [inf_comm, ← le_himp_iff]
/-- `p ∧ (p → q) ↔ p ∧ q` -/
@[simp]
theorem inf_himp (a b : α) : a ⊓ (a ⇨ b) = a ⊓ b :=
le_antisymm (le_inf inf_le_left <| by rw [inf_comm, ← le_himp_iff]) <| inf_le_inf_left _ le_himp
/-- `(p → q) ∧ p ↔ q ∧ p` -/
@[simp]
theorem himp_inf_self (a b : α) : (a ⇨ b) ⊓ a = b ⊓ a := by rw [inf_comm, inf_himp, inf_comm]
/-- The **deduction theorem** in the Heyting algebra model of intuitionistic logic:
an implication holds iff the conclusion follows from the hypothesis. -/
@[simp]
theorem himp_eq_top_iff : a ⇨ b = ⊤ ↔ a ≤ b := by rw [← top_le_iff, le_himp_iff, top_inf_eq]
/-- `p → true`, `true → p ↔ p` -/
@[simp]
theorem himp_top : a ⇨ ⊤ = ⊤ :=
himp_eq_top_iff.2 le_top
@[simp]
theorem top_himp : ⊤ ⇨ a = a :=
eq_of_forall_le_iff fun b => by rw [le_himp_iff, inf_top_eq]
/-- `p → q → r ↔ p ∧ q → r` -/
theorem himp_himp (a b c : α) : a ⇨ b ⇨ c = a ⊓ b ⇨ c :=
eq_of_forall_le_iff fun d => by simp_rw [le_himp_iff, inf_assoc]
/-- `(q → r) → (p → q) → q → r` -/
theorem himp_le_himp_himp_himp : b ⇨ c ≤ (a ⇨ b) ⇨ a ⇨ c := by
rw [le_himp_iff, le_himp_iff, inf_assoc, himp_inf_self, ← inf_assoc, himp_inf_self, inf_assoc]
exact inf_le_left
@[simp]
theorem himp_inf_himp_inf_le : (b ⇨ c) ⊓ (a ⇨ b) ⊓ a ≤ c := by
simpa using @himp_le_himp_himp_himp
/-- `p → q → r ↔ q → p → r` -/
theorem himp_left_comm (a b c : α) : a ⇨ b ⇨ c = b ⇨ a ⇨ c := by simp_rw [himp_himp, inf_comm]
@[simp]
theorem himp_idem : b ⇨ b ⇨ a = b ⇨ a := by rw [himp_himp, inf_idem]
theorem himp_inf_distrib (a b c : α) : a ⇨ b ⊓ c = (a ⇨ b) ⊓ (a ⇨ c) :=
eq_of_forall_le_iff fun d => by simp_rw [le_himp_iff, le_inf_iff, le_himp_iff]
theorem sup_himp_distrib (a b c : α) : a ⊔ b ⇨ c = (a ⇨ c) ⊓ (b ⇨ c) :=
eq_of_forall_le_iff fun d => by
rw [le_inf_iff, le_himp_comm, sup_le_iff]
simp_rw [le_himp_comm]
theorem himp_le_himp_left (h : a ≤ b) : c ⇨ a ≤ c ⇨ b :=
le_himp_iff.2 <| himp_inf_le.trans h
theorem himp_le_himp_right (h : a ≤ b) : b ⇨ c ≤ a ⇨ c :=
le_himp_iff.2 <| (inf_le_inf_left _ h).trans himp_inf_le
theorem himp_le_himp (hab : a ≤ b) (hcd : c ≤ d) : b ⇨ c ≤ a ⇨ d :=
(himp_le_himp_right hab).trans <| himp_le_himp_left hcd
@[simp]
theorem sup_himp_self_left (a b : α) : a ⊔ b ⇨ a = b ⇨ a := by
rw [sup_himp_distrib, himp_self, top_inf_eq]
@[simp]
theorem sup_himp_self_right (a b : α) : a ⊔ b ⇨ b = a ⇨ b := by
rw [sup_himp_distrib, himp_self, inf_top_eq]
theorem Codisjoint.himp_eq_right (h : Codisjoint a b) : b ⇨ a = a := by
conv_rhs => rw [← @top_himp _ _ a]
rw [← h.eq_top, sup_himp_self_left]
theorem Codisjoint.himp_eq_left (h : Codisjoint a b) : a ⇨ b = b :=
h.symm.himp_eq_right
theorem Codisjoint.himp_inf_cancel_right (h : Codisjoint a b) : a ⇨ a ⊓ b = b := by
rw [himp_inf_distrib, himp_self, top_inf_eq, h.himp_eq_left]
theorem Codisjoint.himp_inf_cancel_left (h : Codisjoint a b) : b ⇨ a ⊓ b = a := by
rw [himp_inf_distrib, himp_self, inf_top_eq, h.himp_eq_right]
/-- See `himp_le` for a stronger version in Boolean algebras. -/
theorem Codisjoint.himp_le_of_right_le (hac : Codisjoint a c) (hba : b ≤ a) : c ⇨ b ≤ a :=
(himp_le_himp_left hba).trans_eq hac.himp_eq_right
theorem le_himp_himp : a ≤ (a ⇨ b) ⇨ b :=
le_himp_iff.2 inf_himp_le
@[simp] lemma himp_eq_himp_iff : b ⇨ a = a ⇨ b ↔ a = b := by simp [le_antisymm_iff]
lemma himp_ne_himp_iff : b ⇨ a ≠ a ⇨ b ↔ a ≠ b := himp_eq_himp_iff.not
theorem himp_triangle (a b c : α) : (a ⇨ b) ⊓ (b ⇨ c) ≤ a ⇨ c := by
rw [le_himp_iff, inf_right_comm, ← le_himp_iff]
exact himp_inf_le.trans le_himp_himp
theorem himp_inf_himp_cancel (hba : b ≤ a) (hcb : c ≤ b) : (a ⇨ b) ⊓ (b ⇨ c) = a ⇨ c :=
(himp_triangle _ _ _).antisymm <| le_inf (himp_le_himp_left hcb) (himp_le_himp_right hba)
theorem gc_inf_himp : GaloisConnection (a ⊓ ·) (a ⇨ ·) :=
fun _ _ ↦ Iff.symm le_himp_iff'
-- See note [lower instance priority]
instance (priority := 100) GeneralizedHeytingAlgebra.toDistribLattice : DistribLattice α :=
DistribLattice.ofInfSupLe fun a b c => by
simp_rw [inf_comm a, ← le_himp_iff, sup_le_iff, le_himp_iff, ← sup_le_iff]; rfl
instance OrderDual.instGeneralizedCoheytingAlgebra : GeneralizedCoheytingAlgebra αᵒᵈ where
sdiff a b := toDual (ofDual b ⇨ ofDual a)
sdiff_le_iff a b c := by rw [sup_comm]; exact le_himp_iff
instance Prod.instGeneralizedHeytingAlgebra [GeneralizedHeytingAlgebra β] :
GeneralizedHeytingAlgebra (α × β) where
le_himp_iff _ _ _ := and_congr le_himp_iff le_himp_iff
instance Pi.instGeneralizedHeytingAlgebra {α : ι → Type*} [∀ i, GeneralizedHeytingAlgebra (α i)] :
GeneralizedHeytingAlgebra (∀ i, α i) where
le_himp_iff i := by simp [le_def]
end GeneralizedHeytingAlgebra
section GeneralizedCoheytingAlgebra
variable [GeneralizedCoheytingAlgebra α] {a b c d : α}
@[simp]
theorem sdiff_le_iff : a \ b ≤ c ↔ a ≤ b ⊔ c :=
GeneralizedCoheytingAlgebra.sdiff_le_iff _ _ _
theorem sdiff_le_iff' : a \ b ≤ c ↔ a ≤ c ⊔ b := by rw [sdiff_le_iff, sup_comm]
theorem sdiff_le_comm : a \ b ≤ c ↔ a \ c ≤ b := by rw [sdiff_le_iff, sdiff_le_iff']
theorem sdiff_le : a \ b ≤ a :=
sdiff_le_iff.2 le_sup_right
theorem Disjoint.disjoint_sdiff_left (h : Disjoint a b) : Disjoint (a \ c) b :=
h.mono_left sdiff_le
theorem Disjoint.disjoint_sdiff_right (h : Disjoint a b) : Disjoint a (b \ c) :=
h.mono_right sdiff_le
theorem sdiff_le_iff_left : a \ b ≤ b ↔ a ≤ b := by rw [sdiff_le_iff, sup_idem]
@[simp]
theorem sdiff_self : a \ a = ⊥ :=
le_bot_iff.1 <| sdiff_le_iff.2 le_sup_left
theorem le_sup_sdiff : a ≤ b ⊔ a \ b :=
sdiff_le_iff.1 le_rfl
theorem le_sdiff_sup : a ≤ a \ b ⊔ b := by rw [sup_comm, ← sdiff_le_iff]
theorem sup_sdiff_left : a ⊔ a \ b = a :=
sup_of_le_left sdiff_le
theorem sup_sdiff_right : a \ b ⊔ a = a :=
sup_of_le_right sdiff_le
theorem inf_sdiff_left : a \ b ⊓ a = a \ b :=
inf_of_le_left sdiff_le
theorem inf_sdiff_right : a ⊓ a \ b = a \ b :=
inf_of_le_right sdiff_le
@[simp]
theorem sup_sdiff_self (a b : α) : a ⊔ b \ a = a ⊔ b :=
le_antisymm (sup_le_sup_left sdiff_le _) (sup_le le_sup_left le_sup_sdiff)
@[simp]
theorem sdiff_sup_self (a b : α) : b \ a ⊔ a = b ⊔ a := by rw [sup_comm, sup_sdiff_self, sup_comm]
alias sup_sdiff_self_left := sdiff_sup_self
alias sup_sdiff_self_right := sup_sdiff_self
theorem sup_sdiff_eq_sup (h : c ≤ a) : a ⊔ b \ c = a ⊔ b :=
sup_congr_left (sdiff_le.trans le_sup_right) <| le_sup_sdiff.trans <| sup_le_sup_right h _
-- cf. `Set.union_diff_cancel'`
theorem sup_sdiff_cancel' (hab : a ≤ b) (hbc : b ≤ c) : b ⊔ c \ a = c := by
rw [sup_sdiff_eq_sup hab, sup_of_le_right hbc]
theorem sup_sdiff_cancel_right (h : a ≤ b) : a ⊔ b \ a = b :=
sup_sdiff_cancel' le_rfl h
theorem sdiff_sup_cancel (h : b ≤ a) : a \ b ⊔ b = a := by rw [sup_comm, sup_sdiff_cancel_right h]
theorem sup_le_of_le_sdiff_left (h : b ≤ c \ a) (hac : a ≤ c) : a ⊔ b ≤ c :=
sup_le hac <| h.trans sdiff_le
theorem sup_le_of_le_sdiff_right (h : a ≤ c \ b) (hbc : b ≤ c) : a ⊔ b ≤ c :=
sup_le (h.trans sdiff_le) hbc
@[simp]
theorem sdiff_eq_bot_iff : a \ b = ⊥ ↔ a ≤ b := by rw [← le_bot_iff, sdiff_le_iff, sup_bot_eq]
@[simp]
theorem sdiff_bot : a \ ⊥ = a :=
eq_of_forall_ge_iff fun b => by rw [sdiff_le_iff, bot_sup_eq]
@[simp]
theorem bot_sdiff : ⊥ \ a = ⊥ :=
sdiff_eq_bot_iff.2 bot_le
theorem sdiff_sdiff_sdiff_le_sdiff : (a \ b) \ (a \ c) ≤ c \ b := by
rw [sdiff_le_iff, sdiff_le_iff, sup_left_comm, sup_sdiff_self, sup_left_comm, sdiff_sup_self,
sup_left_comm]
exact le_sup_left
@[simp]
theorem le_sup_sdiff_sup_sdiff : a ≤ b ⊔ (a \ c ⊔ c \ b) := by
simpa using @sdiff_sdiff_sdiff_le_sdiff
theorem sdiff_sdiff (a b c : α) : (a \ b) \ c = a \ (b ⊔ c) :=
eq_of_forall_ge_iff fun d => by simp_rw [sdiff_le_iff, sup_assoc]
theorem sdiff_sdiff_left : (a \ b) \ c = a \ (b ⊔ c) :=
sdiff_sdiff _ _ _
theorem sdiff_right_comm (a b c : α) : (a \ b) \ c = (a \ c) \ b := by
simp_rw [sdiff_sdiff, sup_comm]
theorem sdiff_sdiff_comm : (a \ b) \ c = (a \ c) \ b :=
sdiff_right_comm _ _ _
@[simp]
theorem sdiff_idem : (a \ b) \ b = a \ b := by rw [sdiff_sdiff_left, sup_idem]
@[simp]
theorem sdiff_sdiff_self : (a \ b) \ a = ⊥ := by rw [sdiff_sdiff_comm, sdiff_self, bot_sdiff]
theorem sup_sdiff_distrib (a b c : α) : (a ⊔ b) \ c = a \ c ⊔ b \ c :=
eq_of_forall_ge_iff fun d => by simp_rw [sdiff_le_iff, sup_le_iff, sdiff_le_iff]
theorem sdiff_inf_distrib (a b c : α) : a \ (b ⊓ c) = a \ b ⊔ a \ c :=
eq_of_forall_ge_iff fun d => by
rw [sup_le_iff, sdiff_le_comm, le_inf_iff]
simp_rw [sdiff_le_comm]
theorem sup_sdiff : (a ⊔ b) \ c = a \ c ⊔ b \ c :=
sup_sdiff_distrib _ _ _
@[simp]
theorem sup_sdiff_right_self : (a ⊔ b) \ b = a \ b := by rw [sup_sdiff, sdiff_self, sup_bot_eq]
@[simp]
theorem sup_sdiff_left_self : (a ⊔ b) \ a = b \ a := by rw [sup_comm, sup_sdiff_right_self]
@[gcongr]
theorem sdiff_le_sdiff_right (h : a ≤ b) : a \ c ≤ b \ c :=
sdiff_le_iff.2 <| h.trans <| le_sup_sdiff
@[gcongr]
theorem sdiff_le_sdiff_left (h : a ≤ b) : c \ b ≤ c \ a :=
sdiff_le_iff.2 <| le_sup_sdiff.trans <| sup_le_sup_right h _
@[gcongr]
theorem sdiff_le_sdiff (hab : a ≤ b) (hcd : c ≤ d) : a \ d ≤ b \ c :=
(sdiff_le_sdiff_right hab).trans <| sdiff_le_sdiff_left hcd
-- cf. `IsCompl.inf_sup`
theorem sdiff_inf : a \ (b ⊓ c) = a \ b ⊔ a \ c :=
sdiff_inf_distrib _ _ _
@[simp]
theorem sdiff_inf_self_left (a b : α) : a \ (a ⊓ b) = a \ b := by
rw [sdiff_inf, sdiff_self, bot_sup_eq]
@[simp]
theorem sdiff_inf_self_right (a b : α) : b \ (a ⊓ b) = b \ a := by
rw [sdiff_inf, sdiff_self, sup_bot_eq]
theorem Disjoint.sdiff_eq_left (h : Disjoint a b) : a \ b = a := by
conv_rhs => rw [← @sdiff_bot _ _ a]
rw [← h.eq_bot, sdiff_inf_self_left]
theorem Disjoint.sdiff_eq_right (h : Disjoint a b) : b \ a = b :=
h.symm.sdiff_eq_left
theorem Disjoint.sup_sdiff_cancel_left (h : Disjoint a b) : (a ⊔ b) \ a = b := by
rw [sup_sdiff, sdiff_self, bot_sup_eq, h.sdiff_eq_right]
theorem Disjoint.sup_sdiff_cancel_right (h : Disjoint a b) : (a ⊔ b) \ b = a := by
rw [sup_sdiff, sdiff_self, sup_bot_eq, h.sdiff_eq_left]
/-- See `le_sdiff` for a stronger version in generalised Boolean algebras. -/
theorem Disjoint.le_sdiff_of_le_left (hac : Disjoint a c) (hab : a ≤ b) : a ≤ b \ c :=
hac.sdiff_eq_left.ge.trans <| sdiff_le_sdiff_right hab
theorem sdiff_sdiff_le : a \ (a \ b) ≤ b :=
sdiff_le_iff.2 le_sdiff_sup
@[simp] lemma sdiff_eq_sdiff_iff : a \ b = b \ a ↔ a = b := by simp [le_antisymm_iff]
lemma sdiff_ne_sdiff_iff : a \ b ≠ b \ a ↔ a ≠ b := sdiff_eq_sdiff_iff.not
theorem sdiff_triangle (a b c : α) : a \ c ≤ a \ b ⊔ b \ c := by
rw [sdiff_le_iff, sup_left_comm, ← sdiff_le_iff]
exact sdiff_sdiff_le.trans le_sup_sdiff
theorem sdiff_sup_sdiff_cancel (hba : b ≤ a) (hcb : c ≤ b) : a \ b ⊔ b \ c = a \ c :=
(sdiff_triangle _ _ _).antisymm' <| sup_le (sdiff_le_sdiff_left hcb) (sdiff_le_sdiff_right hba)
/-- a version of `sdiff_sup_sdiff_cancel` with more general hypotheses. -/
theorem sdiff_sup_sdiff_cancel' (hinf : a ⊓ c ≤ b) (hsup : b ≤ a ⊔ c) :
a \ b ⊔ b \ c = a \ c := by
refine (sdiff_triangle ..).antisymm' <| sup_le ?_ <| by simpa [sup_comm]
rw [← sdiff_inf_self_left (b := c)]
exact sdiff_le_sdiff_left hinf
theorem sdiff_le_sdiff_of_sup_le_sup_left (h : c ⊔ a ≤ c ⊔ b) : a \ c ≤ b \ c := by
rw [← sup_sdiff_left_self, ← @sup_sdiff_left_self _ _ _ b]
exact sdiff_le_sdiff_right h
theorem sdiff_le_sdiff_of_sup_le_sup_right (h : a ⊔ c ≤ b ⊔ c) : a \ c ≤ b \ c := by
rw [← sup_sdiff_right_self, ← @sup_sdiff_right_self _ _ b]
exact sdiff_le_sdiff_right h
@[simp]
theorem inf_sdiff_sup_left : a \ c ⊓ (a ⊔ b) = a \ c :=
inf_of_le_left <| sdiff_le.trans le_sup_left
@[simp]
theorem inf_sdiff_sup_right : a \ c ⊓ (b ⊔ a) = a \ c :=
inf_of_le_left <| sdiff_le.trans le_sup_right
theorem gc_sdiff_sup : GaloisConnection (· \ a) (a ⊔ ·) :=
fun _ _ ↦ sdiff_le_iff
-- See note [lower instance priority]
instance (priority := 100) GeneralizedCoheytingAlgebra.toDistribLattice : DistribLattice α :=
{ ‹GeneralizedCoheytingAlgebra α› with
le_sup_inf :=
fun a b c => by simp_rw [← sdiff_le_iff, le_inf_iff, sdiff_le_iff, ← le_inf_iff]; rfl }
instance OrderDual.instGeneralizedHeytingAlgebra : GeneralizedHeytingAlgebra αᵒᵈ where
himp := fun a b => toDual (ofDual b \ ofDual a)
le_himp_iff := fun a b c => by rw [inf_comm]; exact sdiff_le_iff
instance Prod.instGeneralizedCoheytingAlgebra [GeneralizedCoheytingAlgebra β] :
GeneralizedCoheytingAlgebra (α × β) where
sdiff_le_iff _ _ _ := and_congr sdiff_le_iff sdiff_le_iff
instance Pi.instGeneralizedCoheytingAlgebra {α : ι → Type*}
[∀ i, GeneralizedCoheytingAlgebra (α i)] : GeneralizedCoheytingAlgebra (∀ i, α i) where
sdiff_le_iff i := by simp [le_def]
end GeneralizedCoheytingAlgebra
section HeytingAlgebra
variable [HeytingAlgebra α] {a b : α}
@[simp]
theorem himp_bot (a : α) : a ⇨ ⊥ = aᶜ :=
HeytingAlgebra.himp_bot _
@[simp]
theorem bot_himp (a : α) : ⊥ ⇨ a = ⊤ :=
himp_eq_top_iff.2 bot_le
theorem compl_sup_distrib (a b : α) : (a ⊔ b)ᶜ = aᶜ ⊓ bᶜ := by
simp_rw [← himp_bot, sup_himp_distrib]
@[simp]
theorem compl_sup : (a ⊔ b)ᶜ = aᶜ ⊓ bᶜ :=
compl_sup_distrib _ _
theorem compl_le_himp : aᶜ ≤ a ⇨ b :=
(himp_bot _).ge.trans <| himp_le_himp_left bot_le
theorem compl_sup_le_himp : aᶜ ⊔ b ≤ a ⇨ b :=
sup_le compl_le_himp le_himp
theorem sup_compl_le_himp : b ⊔ aᶜ ≤ a ⇨ b :=
sup_le le_himp compl_le_himp
-- `p → ¬ p ↔ ¬ p`
@[simp]
theorem himp_compl (a : α) : a ⇨ aᶜ = aᶜ := by rw [← himp_bot, himp_himp, inf_idem]
-- `p → ¬ q ↔ q → ¬ p`
theorem himp_compl_comm (a b : α) : a ⇨ bᶜ = b ⇨ aᶜ := by simp_rw [← himp_bot, himp_left_comm]
theorem le_compl_iff_disjoint_right : a ≤ bᶜ ↔ Disjoint a b := by
rw [← himp_bot, le_himp_iff, disjoint_iff_inf_le]
theorem le_compl_iff_disjoint_left : a ≤ bᶜ ↔ Disjoint b a :=
le_compl_iff_disjoint_right.trans disjoint_comm
theorem le_compl_comm : a ≤ bᶜ ↔ b ≤ aᶜ := by
rw [le_compl_iff_disjoint_right, le_compl_iff_disjoint_left]
alias ⟨_, Disjoint.le_compl_right⟩ := le_compl_iff_disjoint_right
alias ⟨_, Disjoint.le_compl_left⟩ := le_compl_iff_disjoint_left
alias le_compl_iff_le_compl := le_compl_comm
alias ⟨le_compl_of_le_compl, _⟩ := le_compl_comm
theorem disjoint_compl_left : Disjoint aᶜ a :=
disjoint_iff_inf_le.mpr <| le_himp_iff.1 (himp_bot _).ge
theorem disjoint_compl_right : Disjoint a aᶜ :=
disjoint_compl_left.symm
theorem LE.le.disjoint_compl_left (h : b ≤ a) : Disjoint aᶜ b :=
_root_.disjoint_compl_left.mono_right h
theorem LE.le.disjoint_compl_right (h : a ≤ b) : Disjoint a bᶜ :=
_root_.disjoint_compl_right.mono_left h
theorem IsCompl.compl_eq (h : IsCompl a b) : aᶜ = b :=
h.1.le_compl_left.antisymm' <| Disjoint.le_of_codisjoint disjoint_compl_left h.2
theorem IsCompl.eq_compl (h : IsCompl a b) : a = bᶜ :=
h.1.le_compl_right.antisymm <| Disjoint.le_of_codisjoint disjoint_compl_left h.2.symm
theorem compl_unique (h₀ : a ⊓ b = ⊥) (h₁ : a ⊔ b = ⊤) : aᶜ = b :=
(IsCompl.of_eq h₀ h₁).compl_eq
@[simp]
theorem inf_compl_self (a : α) : a ⊓ aᶜ = ⊥ :=
disjoint_compl_right.eq_bot
@[simp]
theorem compl_inf_self (a : α) : aᶜ ⊓ a = ⊥ :=
disjoint_compl_left.eq_bot
theorem inf_compl_eq_bot : a ⊓ aᶜ = ⊥ :=
inf_compl_self _
theorem compl_inf_eq_bot : aᶜ ⊓ a = ⊥ :=
compl_inf_self _
@[simp]
theorem compl_top : (⊤ : α)ᶜ = ⊥ :=
eq_of_forall_le_iff fun a => by rw [le_compl_iff_disjoint_right, disjoint_top, le_bot_iff]
@[simp]
theorem compl_bot : (⊥ : α)ᶜ = ⊤ := by rw [← himp_bot, himp_self]
@[simp] theorem le_compl_self : a ≤ aᶜ ↔ a = ⊥ := by
rw [le_compl_iff_disjoint_left, disjoint_self]
@[simp] theorem ne_compl_self [Nontrivial α] : a ≠ aᶜ := by
intro h
cases le_compl_self.1 (le_of_eq h)
simp at h
@[simp] theorem compl_ne_self [Nontrivial α] : aᶜ ≠ a :=
ne_comm.1 ne_compl_self
@[simp] theorem lt_compl_self [Nontrivial α] : a < aᶜ ↔ a = ⊥ := by
rw [lt_iff_le_and_ne]; simp
theorem le_compl_compl : a ≤ aᶜᶜ :=
disjoint_compl_right.le_compl_right
theorem compl_anti : Antitone (compl : α → α) := fun _ _ h =>
le_compl_comm.1 <| h.trans le_compl_compl
@[gcongr]
theorem compl_le_compl (h : a ≤ b) : bᶜ ≤ aᶜ :=
compl_anti h
@[simp]
theorem compl_compl_compl (a : α) : aᶜᶜᶜ = aᶜ :=
(compl_anti le_compl_compl).antisymm le_compl_compl
@[simp]
theorem disjoint_compl_compl_left_iff : Disjoint aᶜᶜ b ↔ Disjoint a b := by
simp_rw [← le_compl_iff_disjoint_left, compl_compl_compl]
@[simp]
theorem disjoint_compl_compl_right_iff : Disjoint a bᶜᶜ ↔ Disjoint a b := by
simp_rw [← le_compl_iff_disjoint_right, compl_compl_compl]
theorem compl_sup_compl_le : aᶜ ⊔ bᶜ ≤ (a ⊓ b)ᶜ :=
sup_le (compl_anti inf_le_left) <| compl_anti inf_le_right
theorem compl_compl_inf_distrib (a b : α) : (a ⊓ b)ᶜᶜ = aᶜᶜ ⊓ bᶜᶜ := by
refine ((compl_anti compl_sup_compl_le).trans (compl_sup_distrib _ _).le).antisymm ?_
rw [le_compl_iff_disjoint_right, disjoint_assoc, disjoint_compl_compl_left_iff,
disjoint_left_comm, disjoint_compl_compl_left_iff, ← disjoint_assoc, inf_comm]
exact disjoint_compl_right
theorem compl_compl_himp_distrib (a b : α) : (a ⇨ b)ᶜᶜ = aᶜᶜ ⇨ bᶜᶜ := by
apply le_antisymm
· rw [le_himp_iff, ← compl_compl_inf_distrib]
exact compl_anti (compl_anti himp_inf_le)
· refine le_compl_comm.1 ((compl_anti compl_sup_le_himp).trans ?_)
rw [compl_sup_distrib, le_compl_iff_disjoint_right, disjoint_right_comm, ←
le_compl_iff_disjoint_right]
exact inf_himp_le
instance OrderDual.instCoheytingAlgebra : CoheytingAlgebra αᵒᵈ where
hnot := toDual ∘ compl ∘ ofDual
sdiff a b := toDual (ofDual b ⇨ ofDual a)
sdiff_le_iff a b c := by rw [sup_comm]; exact le_himp_iff
top_sdiff := @himp_bot α _
@[simp]
theorem ofDual_hnot (a : αᵒᵈ) : ofDual (￢a) = (ofDual a)ᶜ :=
rfl
@[simp]
theorem toDual_compl (a : α) : toDual aᶜ = ￢toDual a :=
rfl
instance Prod.instHeytingAlgebra [HeytingAlgebra β] : HeytingAlgebra (α × β) where
himp_bot a := Prod.ext_iff.2 ⟨himp_bot a.1, himp_bot a.2⟩
instance Pi.instHeytingAlgebra {α : ι → Type*} [∀ i, HeytingAlgebra (α i)] :
HeytingAlgebra (∀ i, α i) where
himp_bot f := funext fun i ↦ himp_bot (f i)
end HeytingAlgebra
section CoheytingAlgebra
variable [CoheytingAlgebra α] {a b : α}
@[simp]
theorem top_sdiff' (a : α) : ⊤ \ a = ￢a :=
CoheytingAlgebra.top_sdiff _
@[simp]
theorem sdiff_top (a : α) : a \ ⊤ = ⊥ :=
sdiff_eq_bot_iff.2 le_top
theorem hnot_inf_distrib (a b : α) : ￢(a ⊓ b) = ￢a ⊔ ￢b := by
simp_rw [← top_sdiff', sdiff_inf_distrib]
theorem sdiff_le_hnot : a \ b ≤ ￢b :=
(sdiff_le_sdiff_right le_top).trans_eq <| top_sdiff' _
theorem sdiff_le_inf_hnot : a \ b ≤ a ⊓ ￢b :=
le_inf sdiff_le sdiff_le_hnot
-- See note [lower instance priority]
instance (priority := 100) CoheytingAlgebra.toDistribLattice : DistribLattice α :=
{ ‹CoheytingAlgebra α› with
le_sup_inf :=
fun a b c => by simp_rw [← sdiff_le_iff, le_inf_iff, sdiff_le_iff, ← le_inf_iff]; rfl }
@[simp]
theorem hnot_sdiff (a : α) : ￢a \ a = ￢a := by rw [← top_sdiff', sdiff_sdiff, sup_idem]
theorem hnot_sdiff_comm (a b : α) : ￢a \ b = ￢b \ a := by simp_rw [← top_sdiff', sdiff_right_comm]
theorem hnot_le_iff_codisjoint_right : ￢a ≤ b ↔ Codisjoint a b := by
rw [← top_sdiff', sdiff_le_iff, codisjoint_iff_le_sup]
theorem hnot_le_iff_codisjoint_left : ￢a ≤ b ↔ Codisjoint b a :=
hnot_le_iff_codisjoint_right.trans codisjoint_comm
theorem hnot_le_comm : ￢a ≤ b ↔ ￢b ≤ a := by
rw [hnot_le_iff_codisjoint_right, hnot_le_iff_codisjoint_left]
alias ⟨_, Codisjoint.hnot_le_right⟩ := hnot_le_iff_codisjoint_right
alias ⟨_, Codisjoint.hnot_le_left⟩ := hnot_le_iff_codisjoint_left
theorem codisjoint_hnot_right : Codisjoint a (￢a) :=
codisjoint_iff_le_sup.2 <| sdiff_le_iff.1 (top_sdiff' _).le
theorem codisjoint_hnot_left : Codisjoint (￢a) a :=
codisjoint_hnot_right.symm
| theorem LE.le.codisjoint_hnot_left (h : a ≤ b) : Codisjoint (￢a) b :=
_root_.codisjoint_hnot_left.mono_right h
| Mathlib/Order/Heyting/Basic.lean | 828 | 829 |
/-
Copyright (c) 2024 Newell Jensen. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Newell Jensen, Mitchell Lee, Óscar Álvarez
-/
import Mathlib.Algebra.Group.Subgroup.Pointwise
import Mathlib.Algebra.Ring.Int.Parity
import Mathlib.GroupTheory.Coxeter.Matrix
import Mathlib.GroupTheory.PresentedGroup
import Mathlib.Tactic.NormNum.DivMod
import Mathlib.Tactic.Ring
import Mathlib.Tactic.Use
/-!
# Coxeter groups and Coxeter systems
This file defines Coxeter groups and Coxeter systems.
Let `B` be a (possibly infinite) type, and let $M = (M_{i,i'})_{i, i' \in B}$ be a matrix
of natural numbers. Further assume that $M$ is a *Coxeter matrix* (`CoxeterMatrix`); that is, $M$ is
symmetric and $M_{i,i'} = 1$ if and only if $i = i'$. The *Coxeter group* associated to $M$
(`CoxeterMatrix.group`) has the presentation
$$\langle \{s_i\}_{i \in B} \vert \{(s_i s_{i'})^{M_{i, i'}}\}_{i, i' \in B} \rangle.$$
The elements $s_i$ are called the *simple reflections* (`CoxeterMatrix.simple`) of the Coxeter
group. Note that every simple reflection is an involution.
A *Coxeter system* (`CoxeterSystem`) is a group $W$, together with an isomorphism between $W$ and
the Coxeter group associated to some Coxeter matrix $M$. By abuse of language, we also say that $W$
is a Coxeter group (`IsCoxeterGroup`), and we may speak of the simple reflections $s_i \in W$
(`CoxeterSystem.simple`). We state all of our results about Coxeter groups in terms of Coxeter
systems where possible.
Let $W$ be a group equipped with a Coxeter system. For all monoids $G$ and all functions
$f \colon B \to G$ whose values satisfy the Coxeter relations, we may lift $f$ to a multiplicative
homomorphism $W \to G$ (`CoxeterSystem.lift`) in a unique way.
A *word* is a sequence of elements of $B$. The word $(i_1, \ldots, i_\ell)$ has a corresponding
product $s_{i_1} \cdots s_{i_\ell} \in W$ (`CoxeterSystem.wordProd`). Every element of $W$ is the
product of some word (`CoxeterSystem.wordProd_surjective`). The words that alternate between two
elements of $B$ (`CoxeterSystem.alternatingWord`) are particularly important.
## Implementation details
Much of the literature on Coxeter groups conflates the set $S = \{s_i : i \in B\} \subseteq W$ of
simple reflections with the set $B$ that indexes the simple reflections. This is usually permissible
because the simple reflections $s_i$ of any Coxeter group are all distinct (a nontrivial fact that
we do not prove in this file). In contrast, we try not to refer to the set $S$ of simple
reflections unless necessary; instead, we state our results in terms of $B$ wherever possible.
## Main definitions
* `CoxeterMatrix.Group`
* `CoxeterSystem`
* `IsCoxeterGroup`
* `CoxeterSystem.simple` : If `cs` is a Coxeter system on the group `W`, then `cs.simple i` is the
simple reflection of `W` at the index `i`.
* `CoxeterSystem.lift` : Extend a function `f : B → G` to a monoid homomorphism `f' : W → G`
satisfying `f' (cs.simple i) = f i` for all `i`.
* `CoxeterSystem.wordProd`
* `CoxeterSystem.alternatingWord`
## References
* [N. Bourbaki, *Lie Groups and Lie Algebras, Chapters 4--6*](bourbaki1968) chapter IV
pages 4--5, 13--15
* [J. Baez, *Coxeter and Dynkin Diagrams*](https://math.ucr.edu/home/baez/twf_dynkin.pdf)
## TODO
* The simple reflections of a Coxeter system are distinct.
* Introduce some ways to actually construct some Coxeter groups. For example, given a Coxeter matrix
$M : B \times B \to \mathbb{N}$, a real vector space $V$, a basis $\{\alpha_i : i \in B\}$
and a bilinear form $\langle \cdot, \cdot \rangle \colon V \times V \to \mathbb{R}$ satisfying
$$\langle \alpha_i, \alpha_{i'}\rangle = - \cos(\pi / M_{i,i'}),$$ one can form the subgroup of
$GL(V)$ generated by the reflections in the $\alpha_i$, and it is a Coxeter group. We can use this
to combinatorially describe the Coxeter groups of type $A$, $B$, $D$, and $I$.
* State and prove Matsumoto's theorem.
* Classify the finite Coxeter groups.
## Tags
coxeter system, coxeter group
-/
open Function Set List
/-! ### Coxeter groups -/
namespace CoxeterMatrix
variable {B B' : Type*} (M : CoxeterMatrix B) (e : B ≃ B')
/-- The Coxeter relation associated to a Coxeter matrix $M$ and two indices $i, i' \in B$.
That is, the relation $(s_i s_{i'})^{M_{i, i'}}$, considered as an element of the free group
on $\{s_i\}_{i \in B}$.
If $M_{i, i'} = 0$, then this is the identity, indicating that there is no relation between
$s_i$ and $s_{i'}$. -/
def relation (i i' : B) : FreeGroup B := (FreeGroup.of i * FreeGroup.of i') ^ M i i'
/-- The set of all Coxeter relations associated to the Coxeter matrix $M$. -/
def relationsSet : Set (FreeGroup B) := range <| uncurry M.relation
/-- The Coxeter group associated to a Coxeter matrix $M$; that is, the group
$$\langle \{s_i\}_{i \in B} \vert \{(s_i s_{i'})^{M_{i, i'}}\}_{i, i' \in B} \rangle.$$ -/
protected def Group : Type _ := PresentedGroup M.relationsSet
instance : Group M.Group := QuotientGroup.Quotient.group _
/-- The simple reflection of the Coxeter group `M.group` at the index `i`. -/
def simple (i : B) : M.Group := PresentedGroup.of i
theorem reindex_relationsSet :
(M.reindex e).relationsSet =
FreeGroup.freeGroupCongr e '' M.relationsSet := let M' := M.reindex e; calc
Set.range (uncurry M'.relation)
_ = Set.range (uncurry M'.relation ∘ Prod.map e e) := by simp [Set.range_comp]
_ = Set.range (FreeGroup.freeGroupCongr e ∘ uncurry M.relation) := by
apply congrArg Set.range
ext ⟨i, i'⟩
simp [relation, reindex_apply, M']
_ = _ := by simp [Set.range_comp, relationsSet]
/-- The isomorphism between the Coxeter group associated to the reindexed matrix `M.reindex e` and
the Coxeter group associated to `M`. -/
def reindexGroupEquiv : (M.reindex e).Group ≃* M.Group :=
.symm <| QuotientGroup.congr
(Subgroup.normalClosure M.relationsSet)
(Subgroup.normalClosure (M.reindex e).relationsSet)
(FreeGroup.freeGroupCongr e)
(by
rw [reindex_relationsSet,
Subgroup.map_normalClosure _ _ (by simpa using (FreeGroup.freeGroupCongr e).surjective),
MonoidHom.coe_coe])
theorem reindexGroupEquiv_apply_simple (i : B') :
(M.reindexGroupEquiv e) ((M.reindex e).simple i) = M.simple (e.symm i) := rfl
theorem reindexGroupEquiv_symm_apply_simple (i : B) :
(M.reindexGroupEquiv e).symm (M.simple i) = (M.reindex e).simple (e i) := rfl
end CoxeterMatrix
/-! ### Coxeter systems -/
section
variable {B : Type*} (M : CoxeterMatrix B)
/-- A Coxeter system `CoxeterSystem M W` is a structure recording the isomorphism between
a group `W` and the Coxeter group associated to a Coxeter matrix `M`. -/
@[ext]
structure CoxeterSystem (W : Type*) [Group W] where
/-- The isomorphism between `W` and the Coxeter group associated to `M`. -/
mulEquiv : W ≃* M.Group
/-- A group is a Coxeter group if it admits a Coxeter system for some Coxeter matrix `M`. -/
class IsCoxeterGroup.{u} (W : Type u) [Group W] : Prop where
nonempty_system : ∃ B : Type u, ∃ M : CoxeterMatrix B, Nonempty (CoxeterSystem M W)
/-- The canonical Coxeter system on the Coxeter group associated to `M`. -/
def CoxeterMatrix.toCoxeterSystem : CoxeterSystem M M.Group := ⟨.refl _⟩
end
namespace CoxeterSystem
open CoxeterMatrix
variable {B B' : Type*} (e : B ≃ B')
variable {W H : Type*} [Group W] [Group H]
variable {M : CoxeterMatrix B} (cs : CoxeterSystem M W)
/-- Reindex a Coxeter system through a bijection of the indexing sets. -/
@[simps]
protected def reindex (e : B ≃ B') : CoxeterSystem (M.reindex e) W :=
⟨cs.mulEquiv.trans (M.reindexGroupEquiv e).symm⟩
/-- Push a Coxeter system through a group isomorphism. -/
@[simps]
protected def map (e : W ≃* H) : CoxeterSystem M H := ⟨e.symm.trans cs.mulEquiv⟩
/-! ### Simple reflections -/
/-- The simple reflection of `W` at the index `i`. -/
def simple (i : B) : W := cs.mulEquiv.symm (PresentedGroup.of i)
@[simp]
theorem _root_.CoxeterMatrix.toCoxeterSystem_simple (M : CoxeterMatrix B) :
M.toCoxeterSystem.simple = M.simple := rfl
@[simp] theorem reindex_simple (i' : B') : (cs.reindex e).simple i' = cs.simple (e.symm i') := rfl
@[simp] theorem map_simple (e : W ≃* H) (i : B) : (cs.map e).simple i = e (cs.simple i) := rfl
local prefix:100 "s" => cs.simple
@[simp]
theorem simple_mul_simple_self (i : B) : s i * s i = 1 := by
have : (FreeGroup.of i) * (FreeGroup.of i) ∈ M.relationsSet := ⟨(i, i), by simp [relation]⟩
have : (PresentedGroup.mk _ (FreeGroup.of i * FreeGroup.of i) : M.Group) = 1 :=
(QuotientGroup.eq_one_iff _).mpr (Subgroup.subset_normalClosure this)
unfold simple
rw [← map_mul, PresentedGroup.of, map_mul]
exact map_mul_eq_one cs.mulEquiv.symm this
@[simp]
theorem simple_mul_simple_cancel_right {w : W} (i : B) : w * s i * s i = w := by
simp [mul_assoc]
@[simp]
theorem simple_mul_simple_cancel_left {w : W} (i : B) : s i * (s i * w) = w := by
simp [← mul_assoc]
@[simp] theorem simple_sq (i : B) : s i ^ 2 = 1 := pow_two (s i) ▸ cs.simple_mul_simple_self i
@[simp]
theorem inv_simple (i : B) : (s i)⁻¹ = s i :=
(eq_inv_of_mul_eq_one_right (cs.simple_mul_simple_self i)).symm
@[simp]
theorem simple_mul_simple_pow (i i' : B) : (s i * s i') ^ M i i' = 1 := by
have : (FreeGroup.of i * FreeGroup.of i') ^ M i i' ∈ M.relationsSet := ⟨(i, i'), rfl⟩
have : (PresentedGroup.mk _ ((FreeGroup.of i * FreeGroup.of i') ^ M i i') : M.Group) = 1 :=
(QuotientGroup.eq_one_iff _).mpr (Subgroup.subset_normalClosure this)
unfold simple
rw [← map_mul, ← map_pow]
exact (MulEquiv.map_eq_one_iff cs.mulEquiv.symm).mpr this
@[simp] theorem simple_mul_simple_pow' (i i' : B) : (s i' * s i) ^ M i i' = 1 :=
M.symmetric i' i ▸ cs.simple_mul_simple_pow i' i
/-- The simple reflections of `W` generate `W` as a group. -/
theorem subgroup_closure_range_simple : Subgroup.closure (range cs.simple) = ⊤ := by
have : cs.simple = cs.mulEquiv.symm ∘ PresentedGroup.of := rfl
rw [this, Set.range_comp, ← MulEquiv.coe_toMonoidHom, ← MonoidHom.map_closure,
PresentedGroup.closure_range_of, ← MonoidHom.range_eq_map]
exact MonoidHom.range_eq_top.2 (MulEquiv.surjective _)
/-- The simple reflections of `W` generate `W` as a monoid. -/
theorem submonoid_closure_range_simple : Submonoid.closure (range cs.simple) = ⊤ := by
have : range cs.simple = range cs.simple ∪ (range cs.simple)⁻¹ := by
simp_rw [inv_range, inv_simple, union_self]
rw [this, ← Subgroup.closure_toSubmonoid, subgroup_closure_range_simple, Subgroup.top_toSubmonoid]
/-! ### Induction principles for Coxeter systems -/
/-- If `p : W → Prop` holds for all simple reflections, it holds for the identity, and it is
preserved under multiplication, then it holds for all elements of `W`. -/
theorem simple_induction {p : W → Prop} (w : W) (simple : ∀ i : B, p (s i)) (one : p 1)
(mul : ∀ w w' : W, p w → p w' → p (w * w')) : p w := by
have := cs.submonoid_closure_range_simple.symm ▸ Submonoid.mem_top w
exact Submonoid.closure_induction (fun x ⟨i, hi⟩ ↦ hi ▸ simple i) one (fun _ _ _ _ ↦ mul _ _)
this
/-- If `p : W → Prop` holds for the identity and it is preserved under multiplying on the left
by a simple reflection, then it holds for all elements of `W`. -/
theorem simple_induction_left {p : W → Prop} (w : W) (one : p 1)
(mul_simple_left : ∀ (w : W) (i : B), p w → p (s i * w)) : p w := by
let p' : (w : W) → w ∈ Submonoid.closure (Set.range cs.simple) → Prop :=
fun w _ ↦ p w
have := cs.submonoid_closure_range_simple.symm ▸ Submonoid.mem_top w
apply Submonoid.closure_induction_left (p := p')
· exact one
· rintro _ ⟨i, rfl⟩ y _
exact mul_simple_left y i
· exact this
/-- If `p : W → Prop` holds for the identity and it is preserved under multiplying on the right
by a simple reflection, then it holds for all elements of `W`. -/
theorem simple_induction_right {p : W → Prop} (w : W) (one : p 1)
(mul_simple_right : ∀ (w : W) (i : B), p w → p (w * s i)) : p w := by
let p' : ((w : W) → w ∈ Submonoid.closure (Set.range cs.simple) → Prop) :=
fun w _ ↦ p w
have := cs.submonoid_closure_range_simple.symm ▸ Submonoid.mem_top w
apply Submonoid.closure_induction_right (p := p')
· exact one
· rintro x _ _ ⟨i, rfl⟩
exact mul_simple_right x i
· exact this
/-! ### Homomorphisms from a Coxeter group -/
/-- If two homomorphisms with domain `W` agree on all simple reflections, then they are equal. -/
theorem ext_simple {G : Type*} [MulOneClass G] {φ₁ φ₂ : W →* G} (h : ∀ i : B, φ₁ (s i) = φ₂ (s i)) :
φ₁ = φ₂ :=
MonoidHom.eq_of_eqOn_denseM cs.submonoid_closure_range_simple (fun _ ⟨i, hi⟩ ↦ hi ▸ h i)
/-- The proposition that the values of the function `f : B → G` satisfy the Coxeter relations
corresponding to the matrix `M`. -/
def _root_.CoxeterMatrix.IsLiftable {G : Type*} [Monoid G] (M : CoxeterMatrix B) (f : B → G) :
Prop := ∀ i i', (f i * f i') ^ M i i' = 1
private theorem relations_liftable {G : Type*} [Group G] {f : B → G} (hf : IsLiftable M f)
(r : FreeGroup B) (hr : r ∈ M.relationsSet) : (FreeGroup.lift f) r = 1 := by
rcases hr with ⟨⟨i, i'⟩, rfl⟩
rw [uncurry, relation, map_pow, map_mul, FreeGroup.lift.of, FreeGroup.lift.of]
exact hf i i'
private def groupLift {G : Type*} [Group G] {f : B → G} (hf : IsLiftable M f) : W →* G :=
(PresentedGroup.toGroup (relations_liftable hf)).comp cs.mulEquiv.toMonoidHom
private def restrictUnit {G : Type*} [Monoid G] {f : B → G} (hf : IsLiftable M f) (i : B) :
Gˣ where
val := f i
inv := f i
val_inv := pow_one (f i * f i) ▸ M.diagonal i ▸ hf i i
inv_val := pow_one (f i * f i) ▸ M.diagonal i ▸ hf i i
private theorem toMonoidHom_apply_symm_apply (a : PresentedGroup (M.relationsSet)) :
(MulEquiv.toMonoidHom cs.mulEquiv : W →* PresentedGroup (M.relationsSet))
((MulEquiv.symm cs.mulEquiv) a) = a := calc
_ = cs.mulEquiv ((MulEquiv.symm cs.mulEquiv) a) := by rfl
_ = _ := by rw [MulEquiv.apply_symm_apply]
/-- The universal mapping property of Coxeter systems. For any monoid `G`,
functions `f : B → G` whose values satisfy the Coxeter relations are equivalent to
monoid homomorphisms `f' : W → G`. -/
def lift {G : Type*} [Monoid G] : {f : B → G // IsLiftable M f} ≃ (W →* G) where
toFun f := MonoidHom.comp (Units.coeHom G) (cs.groupLift
(show ∀ i i', ((restrictUnit f.property) i * (restrictUnit f.property) i') ^ M i i' = 1 from
fun i i' ↦ Units.ext (f.property i i')))
invFun ι := ⟨ι ∘ cs.simple, fun i i' ↦ by
rw [comp_apply, comp_apply, ← map_mul, ← map_pow, simple_mul_simple_pow, map_one]⟩
left_inv f := by
ext i
simp only [MonoidHom.comp_apply, comp_apply, mem_setOf_eq, groupLift, simple]
rw [← MonoidHom.toFun_eq_coe, toMonoidHom_apply_symm_apply, PresentedGroup.toGroup.of,
OneHom.toFun_eq_coe, MonoidHom.toOneHom_coe, Units.coeHom_apply, restrictUnit]
right_inv ι := by
apply cs.ext_simple
intro i
dsimp only
rw [groupLift, simple, MonoidHom.comp_apply, MonoidHom.comp_apply, toMonoidHom_apply_symm_apply,
PresentedGroup.toGroup.of, CoxeterSystem.restrictUnit, Units.coeHom_apply]
simp only [comp_apply, simple]
@[simp]
theorem lift_apply_simple {G : Type*} [Monoid G] {f : B → G} (hf : IsLiftable M f) (i : B) :
cs.lift ⟨f, hf⟩ (s i) = f i := congrFun (congrArg Subtype.val (cs.lift.left_inv ⟨f, hf⟩)) i
/-- If two Coxeter systems on the same group `W` have the same Coxeter matrix `M : Matrix B B ℕ`
and the same simple reflection map `B → W`, then they are identical. -/
theorem simple_determines_coxeterSystem :
Injective (simple : CoxeterSystem M W → B → W) := by
intro cs1 cs2 h
apply CoxeterSystem.ext
apply MulEquiv.toMonoidHom_injective
apply cs1.ext_simple
intro i
nth_rw 2 [h]
simp [simple]
/-! ### Words -/
/-- The product of the simple reflections of `W` corresponding to the indices in `ω`. -/
def wordProd (ω : List B) : W := prod (map cs.simple ω)
local prefix:100 "π" => cs.wordProd
@[simp] theorem wordProd_nil : π [] = 1 := by simp [wordProd]
theorem wordProd_cons (i : B) (ω : List B) : π (i :: ω) = s i * π ω := by simp [wordProd]
@[simp] theorem wordProd_singleton (i : B) : π ([i]) = s i := by simp [wordProd]
theorem wordProd_concat (i : B) (ω : List B) : π (ω.concat i) = π ω * s i := by simp [wordProd]
theorem wordProd_append (ω ω' : List B) : π (ω ++ ω') = π ω * π ω' := by simp [wordProd]
@[simp] theorem wordProd_reverse (ω : List B) : π (reverse ω) = (π ω)⁻¹ := by
induction' ω with x ω' ih
· simp
· simpa [wordProd_cons, wordProd_append] using ih
theorem wordProd_surjective : Surjective cs.wordProd := by
intro w
apply cs.simple_induction_left w
· use []
rw [wordProd_nil]
· rintro _ i ⟨ω, rfl⟩
use i :: ω
rw [wordProd_cons]
/-- The word of length `m` that alternates between `i` and `i'`, ending with `i'`. -/
def alternatingWord (i i' : B) (m : ℕ) : List B :=
match m with
| 0 => []
| m+1 => (alternatingWord i' i m).concat i'
| /-- The word of length `M i i'` that alternates between `i` and `i'`, ending with `i'`. -/
abbrev braidWord (M : CoxeterMatrix B) (i i' : B) : List B := alternatingWord i i' (M i i')
theorem alternatingWord_succ (i i' : B) (m : ℕ) :
alternatingWord i i' (m + 1) = (alternatingWord i' i m).concat i' := rfl
theorem alternatingWord_succ' (i i' : B) (m : ℕ) :
alternatingWord i i' (m + 1) = (if Even m then i' else i) :: alternatingWord i i' m := by
| Mathlib/GroupTheory/Coxeter/Basic.lean | 392 | 399 |
/-
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.NonUnitalHom
import Mathlib.Data.Set.UnionLift
import Mathlib.LinearAlgebra.Span.Basic
import Mathlib.RingTheory.NonUnitalSubring.Basic
/-!
# Non-unital Subalgebras over Commutative Semirings
In this file we define `NonUnitalSubalgebra`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.
-/
universe u u' v v' w w'
section NonUnitalSubalgebraClass
variable {S R A : Type*} [CommSemiring R] [NonUnitalNonAssocSemiring A] [Module R A]
variable [SetLike S A] [NonUnitalSubsemiringClass S A] [hSR : SMulMemClass S R A] (s : S)
namespace NonUnitalSubalgebraClass
/-- Embedding of a non-unital subalgebra into the non-unital algebra. -/
def subtype (s : S) : s →ₙₐ[R] A :=
{ NonUnitalSubsemiringClass.subtype s, SMulMemClass.subtype s with toFun := (↑) }
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) = ((↑) : s → A) :=
rfl
@[deprecated (since := "2025-02-18")]
alias coeSubtype := coe_subtype
end NonUnitalSubalgebraClass
end NonUnitalSubalgebraClass
/-- A non-unital subalgebra is a sub(semi)ring that is also a submodule. -/
structure NonUnitalSubalgebra (R : Type u) (A : Type v) [CommSemiring R]
[NonUnitalNonAssocSemiring A] [Module R A] : Type v
extends NonUnitalSubsemiring A, Submodule R A
/-- Reinterpret a `NonUnitalSubalgebra` as a `NonUnitalSubsemiring`. -/
add_decl_doc NonUnitalSubalgebra.toNonUnitalSubsemiring
/-- Reinterpret a `NonUnitalSubalgebra` as a `Submodule`. -/
add_decl_doc NonUnitalSubalgebra.toSubmodule
namespace NonUnitalSubalgebra
variable {F : Type v'} {R' : Type u'} {R : Type u} {A : Type v} {B : Type w} {C : Type w'}
section NonUnitalNonAssocSemiring
variable [CommSemiring R]
variable [NonUnitalNonAssocSemiring A] [NonUnitalNonAssocSemiring B] [NonUnitalNonAssocSemiring C]
variable [Module R A] [Module R B] [Module R C]
instance : SetLike (NonUnitalSubalgebra 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 `NonUnitalSubalgebra` obtained from an element of a type satisfying
`NonUnitalSubsemiringClass` and `SMulMemClass`. -/
@[simps]
def ofClass {S R A : Type*} [CommSemiring R] [NonUnitalNonAssocSemiring A] [Module R A]
[SetLike S A] [NonUnitalSubsemiringClass S A] [SMulMemClass S R A]
(s : S) : NonUnitalSubalgebra R A where
carrier := s
add_mem' := add_mem
zero_mem' := zero_mem _
mul_mem' := mul_mem
smul_mem' := SMulMemClass.smul_mem
instance (priority := 100) : CanLift (Set A) (NonUnitalSubalgebra 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) 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 },
rfl ⟩
instance instNonUnitalSubsemiringClass :
NonUnitalSubsemiringClass (NonUnitalSubalgebra 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 (NonUnitalSubalgebra R A) R A where
smul_mem := @fun s => s.smul_mem'
theorem mem_carrier {s : NonUnitalSubalgebra R A} {x : A} : x ∈ s.carrier ↔ x ∈ s :=
Iff.rfl
@[ext]
theorem ext {S T : NonUnitalSubalgebra R A} (h : ∀ x : A, x ∈ S ↔ x ∈ T) : S = T :=
SetLike.ext h
@[simp]
theorem mem_toNonUnitalSubsemiring {S : NonUnitalSubalgebra R A} {x} :
x ∈ S.toNonUnitalSubsemiring ↔ x ∈ S :=
Iff.rfl
@[simp]
theorem coe_toNonUnitalSubsemiring (S : NonUnitalSubalgebra R A) :
(↑S.toNonUnitalSubsemiring : Set A) = S :=
rfl
theorem toNonUnitalSubsemiring_injective :
Function.Injective
(toNonUnitalSubsemiring : NonUnitalSubalgebra R A → NonUnitalSubsemiring A) :=
fun S T h =>
ext fun x => by rw [← mem_toNonUnitalSubsemiring, ← mem_toNonUnitalSubsemiring, h]
theorem toNonUnitalSubsemiring_inj {S U : NonUnitalSubalgebra R A} :
S.toNonUnitalSubsemiring = U.toNonUnitalSubsemiring ↔ S = U :=
toNonUnitalSubsemiring_injective.eq_iff
theorem mem_toSubmodule (S : NonUnitalSubalgebra R A) {x} : x ∈ S.toSubmodule ↔ x ∈ S :=
Iff.rfl
@[simp]
theorem coe_toSubmodule (S : NonUnitalSubalgebra R A) : (↑S.toSubmodule : Set A) = S :=
rfl
theorem toSubmodule_injective :
Function.Injective (toSubmodule : NonUnitalSubalgebra R A → Submodule R A) := fun S T h =>
ext fun x => by rw [← mem_toSubmodule, ← mem_toSubmodule, h]
theorem toSubmodule_inj {S U : NonUnitalSubalgebra R A} : S.toSubmodule = U.toSubmodule ↔ S = U :=
toSubmodule_injective.eq_iff
/-- Copy of a non-unital subalgebra with a new `carrier` equal to the old one.
Useful to fix definitional equalities. -/
protected def copy (S : NonUnitalSubalgebra R A) (s : Set A) (hs : s = ↑S) :
NonUnitalSubalgebra R A :=
{ S.toNonUnitalSubsemiring.copy s hs with
smul_mem' := fun r a (ha : a ∈ s) => by
show r • a ∈ s
rw [hs] at ha ⊢
exact S.smul_mem' r ha }
@[simp]
theorem coe_copy (S : NonUnitalSubalgebra R A) (s : Set A) (hs : s = ↑S) :
(S.copy s hs : Set A) = s :=
rfl
theorem copy_eq (S : NonUnitalSubalgebra R A) (s : Set A) (hs : s = ↑S) : S.copy s hs = S :=
SetLike.coe_injective hs
instance (S : NonUnitalSubalgebra R A) : Inhabited S :=
⟨(0 : S.toNonUnitalSubsemiring)⟩
end NonUnitalNonAssocSemiring
section NonUnitalNonAssocRing
variable [CommRing R]
variable [NonUnitalNonAssocRing A] [NonUnitalNonAssocRing B] [NonUnitalNonAssocRing C]
variable [Module R A] [Module R B] [Module R C]
instance instNonUnitalSubringClass : NonUnitalSubringClass (NonUnitalSubalgebra R A) A :=
{ NonUnitalSubalgebra.instNonUnitalSubsemiringClass with
neg_mem := @fun _ x hx => neg_one_smul R x ▸ SMulMemClass.smul_mem _ hx }
/-- A non-unital subalgebra over a ring is also a `Subring`. -/
def toNonUnitalSubring (S : NonUnitalSubalgebra R A) : NonUnitalSubring A where
toNonUnitalSubsemiring := S.toNonUnitalSubsemiring
neg_mem' := neg_mem (s := S)
@[simp]
theorem mem_toNonUnitalSubring {S : NonUnitalSubalgebra R A} {x} :
x ∈ S.toNonUnitalSubring ↔ x ∈ S :=
Iff.rfl
@[simp]
theorem coe_toNonUnitalSubring (S : NonUnitalSubalgebra R A) :
(↑S.toNonUnitalSubring : Set A) = S :=
rfl
theorem toNonUnitalSubring_injective :
Function.Injective (toNonUnitalSubring : NonUnitalSubalgebra R A → NonUnitalSubring A) :=
fun S T h => ext fun x => by rw [← mem_toNonUnitalSubring, ← mem_toNonUnitalSubring, h]
theorem toNonUnitalSubring_inj {S U : NonUnitalSubalgebra R A} :
S.toNonUnitalSubring = U.toNonUnitalSubring ↔ S = U :=
toNonUnitalSubring_injective.eq_iff
end NonUnitalNonAssocRing
section
/-! `NonUnitalSubalgebra`s inherit structure from their `NonUnitalSubsemiring` / `Semiring`
coercions. -/
instance toNonUnitalNonAssocSemiring [CommSemiring R] [NonUnitalNonAssocSemiring A] [Module R A]
(S : NonUnitalSubalgebra R A) : NonUnitalNonAssocSemiring S :=
inferInstance
instance toNonUnitalSemiring [CommSemiring R] [NonUnitalSemiring A] [Module R A]
(S : NonUnitalSubalgebra R A) : NonUnitalSemiring S :=
inferInstance
instance toNonUnitalCommSemiring [CommSemiring R] [NonUnitalCommSemiring A] [Module R A]
(S : NonUnitalSubalgebra R A) : NonUnitalCommSemiring S :=
inferInstance
instance toNonUnitalNonAssocRing [CommRing R] [NonUnitalNonAssocRing A] [Module R A]
(S : NonUnitalSubalgebra R A) : NonUnitalNonAssocRing S :=
inferInstance
instance toNonUnitalRing [CommRing R] [NonUnitalRing A] [Module R A]
(S : NonUnitalSubalgebra R A) : NonUnitalRing S :=
inferInstance
instance toNonUnitalCommRing [CommRing R] [NonUnitalCommRing A] [Module R A]
(S : NonUnitalSubalgebra R A) : NonUnitalCommRing S :=
inferInstance
end
/-- The forgetful map from `NonUnitalSubalgebra` to `Submodule` as an `OrderEmbedding` -/
def toSubmodule' [CommSemiring R] [NonUnitalNonAssocSemiring A] [Module R A] :
NonUnitalSubalgebra R A ↪o Submodule R A where
toEmbedding :=
{ toFun := fun S => S.toSubmodule
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
/-- The forgetful map from `NonUnitalSubalgebra` to `NonUnitalSubsemiring` as an
`OrderEmbedding` -/
def toNonUnitalSubsemiring' [CommSemiring R] [NonUnitalNonAssocSemiring A] [Module R A] :
NonUnitalSubalgebra R A ↪o NonUnitalSubsemiring A where
toEmbedding :=
{ toFun := fun S => S.toNonUnitalSubsemiring
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
/-- The forgetful map from `NonUnitalSubalgebra` to `NonUnitalSubsemiring` as an
`OrderEmbedding` -/
def toNonUnitalSubring' [CommRing R] [NonUnitalNonAssocRing A] [Module R A] :
NonUnitalSubalgebra R A ↪o NonUnitalSubring A where
toEmbedding :=
{ toFun := fun S => S.toNonUnitalSubring
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
variable [CommSemiring R]
variable [NonUnitalNonAssocSemiring A] [NonUnitalNonAssocSemiring B] [NonUnitalNonAssocSemiring C]
variable [Module R A] [Module R B] [Module R C]
variable {S : NonUnitalSubalgebra R A}
section
/-! ### `NonUnitalSubalgebra`s inherit structure from their `Submodule` coercions. -/
instance instModule' [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.instModule'
instance instIsScalarTower' [Semiring R'] [SMul R' R] [Module R' A] [IsScalarTower R' R A] :
IsScalarTower R' R S :=
S.toSubmodule.isScalarTower
instance [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)
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⟩
end
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] [Ring A] [Algebra R A]
{S : NonUnitalSubalgebra R A} (x : S) : (↑(-x) : A) = -↑x :=
rfl
protected theorem coe_sub {R : Type u} {A : Type v} [CommRing R] [Ring A] [Algebra R A]
{S : NonUnitalSubalgebra 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 toNonUnitalSubsemiring_subtype :
NonUnitalSubsemiringClass.subtype S = NonUnitalSubalgebraClass.subtype (R := R) S :=
rfl
@[simp]
theorem toSubring_subtype {R A : Type*} [CommRing R] [Ring A] [Algebra R A]
(S : NonUnitalSubalgebra R A) :
NonUnitalSubringClass.subtype S = NonUnitalSubalgebraClass.subtype (R := R) S :=
rfl
/-- Linear equivalence between `S : Submodule R A` and `S`. Though these types are equal,
we define it as a `LinearEquiv` to avoid type equalities. -/
def toSubmoduleEquiv (S : NonUnitalSubalgebra R A) : S.toSubmodule ≃ₗ[R] S :=
LinearEquiv.ofEq _ _ rfl
variable [FunLike F A B] [NonUnitalAlgHomClass F R A B]
/-- Transport a non-unital subalgebra via an algebra homomorphism. -/
def map (f : F) (S : NonUnitalSubalgebra R A) : NonUnitalSubalgebra R B :=
{ S.toNonUnitalSubsemiring.map (f : A →ₙ+* B) with
smul_mem' := fun r b hb => by
rcases hb with ⟨a, ha, rfl⟩
exact map_smulₛₗ f r a ▸ Set.mem_image_of_mem f (S.smul_mem' r ha) }
theorem map_mono {S₁ S₂ : NonUnitalSubalgebra R A} {f : F} :
S₁ ≤ S₂ → (map f S₁ : NonUnitalSubalgebra R B) ≤ map f S₂ :=
Set.image_subset f
theorem map_injective {f : F} (hf : Function.Injective f) :
Function.Injective (map f : NonUnitalSubalgebra R A → NonUnitalSubalgebra 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 : NonUnitalSubalgebra R A) : map (NonUnitalAlgHom.id R A) S = S :=
SetLike.coe_injective <| Set.image_id _
theorem map_map (S : NonUnitalSubalgebra 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 : NonUnitalSubalgebra R A} {f : F} {y : B} : y ∈ map f S ↔ ∃ x ∈ S, f x = y :=
NonUnitalSubsemiring.mem_map
theorem map_toSubmodule {S : NonUnitalSubalgebra R A} {f : F} :
-- TODO: introduce a better coercion from `NonUnitalAlgHomClass` to `LinearMap`
(map f S).toSubmodule = Submodule.map (LinearMapClass.linearMap f) S.toSubmodule :=
SetLike.coe_injective rfl
theorem map_toNonUnitalSubsemiring {S : NonUnitalSubalgebra R A} {f : F} :
(map f S).toNonUnitalSubsemiring = S.toNonUnitalSubsemiring.map (f : A →ₙ+* B) :=
SetLike.coe_injective rfl
@[simp]
theorem coe_map (S : NonUnitalSubalgebra R A) (f : F) : (map f S : Set B) = f '' S :=
rfl
/-- Preimage of a non-unital subalgebra under an algebra homomorphism. -/
def comap (f : F) (S : NonUnitalSubalgebra R B) : NonUnitalSubalgebra R A :=
{ S.toNonUnitalSubsemiring.comap (f : A →ₙ+* B) with
smul_mem' := fun r a (ha : f a ∈ S) =>
show f (r • a) ∈ S from (map_smulₛₗ f r a).symm ▸ SMulMemClass.smul_mem r ha }
theorem map_le {S : NonUnitalSubalgebra R A} {f : F} {U : NonUnitalSubalgebra R B} :
map f S ≤ U ↔ S ≤ comap f U :=
Set.image_subset_iff
theorem gc_map_comap (f : F) :
GaloisConnection (map f : NonUnitalSubalgebra R A → NonUnitalSubalgebra R B) (comap f) :=
fun _ _ => map_le
@[simp]
theorem mem_comap (S : NonUnitalSubalgebra R B) (f : F) (x : A) : x ∈ comap f S ↔ f x ∈ S :=
Iff.rfl
@[simp, norm_cast]
theorem coe_comap (S : NonUnitalSubalgebra R B) (f : F) : (comap f S : Set A) = f ⁻¹' (S : Set B) :=
rfl
instance noZeroDivisors {R A : Type*} [CommSemiring R] [NonUnitalSemiring A] [NoZeroDivisors A]
[Module R A] (S : NonUnitalSubalgebra R A) : NoZeroDivisors S :=
NonUnitalSubsemiringClass.noZeroDivisors S
end NonUnitalSubalgebra
namespace Submodule
variable {R A : Type*} [CommSemiring R] [NonUnitalNonAssocSemiring A] [Module R A]
/-- A submodule closed under multiplication is a non-unital subalgebra. -/
def toNonUnitalSubalgebra (p : Submodule R A) (h_mul : ∀ x y, x ∈ p → y ∈ p → x * y ∈ p) :
NonUnitalSubalgebra R A :=
{ p with
mul_mem' := h_mul _ _ }
@[simp]
theorem mem_toNonUnitalSubalgebra {p : Submodule R A} {h_mul} {x} :
x ∈ p.toNonUnitalSubalgebra h_mul ↔ x ∈ p :=
Iff.rfl
@[simp]
theorem coe_toNonUnitalSubalgebra (p : Submodule R A) (h_mul) :
(p.toNonUnitalSubalgebra h_mul : Set A) = p :=
rfl
theorem toNonUnitalSubalgebra_mk (p : Submodule R A) hmul :
p.toNonUnitalSubalgebra hmul =
NonUnitalSubalgebra.mk ⟨⟨⟨p, p.add_mem⟩, p.zero_mem⟩, hmul _ _⟩ p.smul_mem' :=
rfl
@[simp]
theorem toNonUnitalSubalgebra_toSubmodule (p : Submodule R A) (h_mul) :
(p.toNonUnitalSubalgebra h_mul).toSubmodule = p :=
SetLike.coe_injective rfl
@[simp]
theorem _root_.NonUnitalSubalgebra.toSubmodule_toNonUnitalSubalgebra (S : NonUnitalSubalgebra R A) :
(S.toSubmodule.toNonUnitalSubalgebra fun _ _ => mul_mem (s := S)) = S :=
SetLike.coe_injective rfl
end Submodule
namespace NonUnitalAlgHom
variable {F : Type v'} {R' : Type u'} {R : Type u} {A : Type v} {B : Type w} {C : Type w'}
variable [CommSemiring R]
variable [NonUnitalNonAssocSemiring A] [Module R A] [NonUnitalNonAssocSemiring B] [Module R B]
variable [NonUnitalNonAssocSemiring C] [Module R C] [FunLike F A B] [NonUnitalAlgHomClass F R A B]
/-- Range of an `NonUnitalAlgHom` as a non-unital subalgebra. -/
protected def range (φ : F) : NonUnitalSubalgebra R B where
toNonUnitalSubsemiring := NonUnitalRingHom.srange (φ : A →ₙ+* B)
smul_mem' := fun r a => by rintro ⟨a, rfl⟩; exact ⟨r • a, map_smul φ r a⟩
@[simp]
theorem mem_range (φ : F) {y : B} :
y ∈ (NonUnitalAlgHom.range φ : NonUnitalSubalgebra R B) ↔ ∃ x : A, φ x = y :=
NonUnitalRingHom.mem_srange
theorem mem_range_self (φ : F) (x : A) :
φ x ∈ (NonUnitalAlgHom.range φ : NonUnitalSubalgebra R B) :=
(NonUnitalAlgHom.mem_range φ).2 ⟨x, rfl⟩
@[simp]
theorem coe_range (φ : F) :
((NonUnitalAlgHom.range φ : NonUnitalSubalgebra 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) :
NonUnitalAlgHom.range (g.comp f) = (NonUnitalAlgHom.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) :
NonUnitalAlgHom.range (g.comp f) ≤ NonUnitalAlgHom.range g :=
SetLike.coe_mono (Set.range_comp_subset_range f g)
/-- Restrict the codomain of a non-unital algebra homomorphism. -/
def codRestrict (f : F) (S : NonUnitalSubalgebra R B) (hf : ∀ x, f x ∈ S) : A →ₙₐ[R] S :=
{ NonUnitalRingHom.codRestrict (f : A →ₙ+* B) S.toNonUnitalSubsemiring hf with
map_smul' := fun r a => Subtype.ext <| map_smul f r a }
@[simp]
theorem subtype_comp_codRestrict (f : F) (S : NonUnitalSubalgebra R B) (hf : ∀ x : A, f x ∈ S) :
(NonUnitalSubalgebraClass.subtype S).comp (NonUnitalAlgHom.codRestrict f S hf) = f :=
rfl
@[simp]
theorem coe_codRestrict (f : F) (S : NonUnitalSubalgebra R B) (hf : ∀ x, f x ∈ S) (x : A) :
↑(NonUnitalAlgHom.codRestrict f S hf x) = f x :=
rfl
theorem injective_codRestrict (f : F) (S : NonUnitalSubalgebra R B) (hf : ∀ x : A, f x ∈ S) :
Function.Injective (NonUnitalAlgHom.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 an `NonUnitalAlgHom` `f` to `f.range`.
This is the bundled version of `Set.rangeFactorization`. -/
abbrev rangeRestrict (f : F) : A →ₙₐ[R] (NonUnitalAlgHom.range f : NonUnitalSubalgebra R B) :=
NonUnitalAlgHom.codRestrict f (NonUnitalAlgHom.range f) (NonUnitalAlgHom.mem_range_self f)
/-- The equalizer of two non-unital `R`-algebra homomorphisms -/
def equalizer (ϕ ψ : F) : NonUnitalSubalgebra R A where
carrier := {a | (ϕ a : B) = ψ a}
zero_mem' := by rw [Set.mem_setOf_eq, map_zero, map_zero]
add_mem' {x y} (hx : ϕ x = ψ x) (hy : ϕ y = ψ y) := by
rw [Set.mem_setOf_eq, map_add, map_add, hx, hy]
mul_mem' {x y} (hx : ϕ x = ψ x) (hy : ϕ y = ψ y) := by
rw [Set.mem_setOf_eq, map_mul, map_mul, hx, hy]
smul_mem' r x (hx : ϕ x = ψ x) := by rw [Set.mem_setOf_eq, map_smul, map_smul, hx]
@[simp]
theorem mem_equalizer (φ ψ : F) (x : A) :
x ∈ NonUnitalAlgHom.equalizer φ ψ ↔ φ x = ψ x :=
Iff.rfl
/-- The range of a morphism of algebras is a fintype, if the domain is a fintype.
Note that this instance can cause a diamond with `Subtype.fintype` if `B` is also a fintype. -/
instance fintypeRange [Fintype A] [DecidableEq B] (φ : F) :
Fintype (NonUnitalAlgHom.range φ) :=
Set.fintypeRange φ
end NonUnitalAlgHom
namespace NonUnitalAlgebra
variable {F : Type*} (R : Type u) {A : Type v} {B : Type w}
variable [CommSemiring R] [NonUnitalNonAssocSemiring A] [Module R A]
@[simp]
lemma span_eq_toSubmodule (s : NonUnitalSubalgebra R A) :
Submodule.span R (s : Set A) = s.toSubmodule := by
simp [SetLike.ext'_iff, Submodule.coe_span_eq_self]
variable [NonUnitalNonAssocSemiring B] [Module R B]
variable [FunLike F A B] [NonUnitalAlgHomClass F R A B]
section IsScalarTower
variable [IsScalarTower R A A] [SMulCommClass R A A]
/-- The minimal non-unital subalgebra that includes `s`. -/
def adjoin (s : Set A) : NonUnitalSubalgebra R A :=
{ Submodule.span R (NonUnitalSubsemiring.closure s : Set A) with
mul_mem' :=
@fun a b (ha : a ∈ Submodule.span R (NonUnitalSubsemiring.closure s : Set A))
(hb : b ∈ Submodule.span R (NonUnitalSubsemiring.closure s : Set A)) =>
show a * b ∈ Submodule.span R (NonUnitalSubsemiring.closure s : Set A) by
refine Submodule.span_induction ?_ ?_ ?_ ?_ ha
· refine Submodule.span_induction ?_ ?_ ?_ ?_ hb
· exact fun x (hx : x ∈ NonUnitalSubsemiring.closure s) y
(hy : y ∈ NonUnitalSubsemiring.closure s) => Submodule.subset_span (mul_mem hy hx)
· exact fun x _hx => (mul_zero x).symm ▸ Submodule.zero_mem _
· exact fun x y _ _ hx hy z hz => (mul_add z x y).symm ▸ add_mem (hx z hz) (hy z hz)
· exact fun r x _ hx y hy =>
(mul_smul_comm r y x).symm ▸ SMulMemClass.smul_mem r (hx y hy)
· exact (zero_mul b).symm ▸ Submodule.zero_mem _
· exact fun x y _ _ => (add_mul x y b).symm ▸ add_mem
· exact fun r x _ hx => (smul_mul_assoc r x b).symm ▸ SMulMemClass.smul_mem r hx }
theorem adjoin_toSubmodule (s : Set A) :
(adjoin R s).toSubmodule = Submodule.span R (NonUnitalSubsemiring.closure s : Set A) :=
rfl
@[aesop safe 20 apply (rule_sets := [SetLike])]
theorem subset_adjoin {s : Set A} : s ⊆ adjoin R s :=
NonUnitalSubsemiring.subset_closure.trans Submodule.subset_span
theorem self_mem_adjoin_singleton (x : A) : x ∈ adjoin R ({x} : Set A) :=
NonUnitalAlgebra.subset_adjoin R (Set.mem_singleton x)
variable {R}
protected theorem gc : GaloisConnection (adjoin R : Set A → NonUnitalSubalgebra R A) (↑) :=
fun s S =>
⟨fun H => (NonUnitalSubsemiring.subset_closure.trans Submodule.subset_span).trans H,
fun H => show Submodule.span R _ ≤ S.toSubmodule from Submodule.span_le.mpr <|
show NonUnitalSubsemiring.closure s ≤ S.toNonUnitalSubsemiring from
NonUnitalSubsemiring.closure_le.2 H⟩
/-- Galois insertion between `adjoin` and `Subtype.val`. -/
protected def gi : GaloisInsertion (adjoin R : Set A → NonUnitalSubalgebra R A) (↑) where
choice s hs := (adjoin R s).copy s <| le_antisymm (NonUnitalAlgebra.gc.le_u_l s) hs
gc := NonUnitalAlgebra.gc
le_l_u S := (NonUnitalAlgebra.gc (S : Set A) (adjoin R S)).1 <| le_rfl
choice_eq _ _ := NonUnitalSubalgebra.copy_eq _ _ _
instance : CompleteLattice (NonUnitalSubalgebra R A) :=
GaloisInsertion.liftCompleteLattice NonUnitalAlgebra.gi
theorem adjoin_le {S : NonUnitalSubalgebra R A} {s : Set A} (hs : s ⊆ S) : adjoin R s ≤ S :=
NonUnitalAlgebra.gc.l_le hs
theorem adjoin_le_iff {S : NonUnitalSubalgebra R A} {s : Set A} : adjoin R s ≤ S ↔ s ⊆ S :=
NonUnitalAlgebra.gc _ _
theorem adjoin_union (s t : Set A) : adjoin R (s ∪ t) = adjoin R s ⊔ adjoin R t :=
(NonUnitalAlgebra.gc : GaloisConnection _ ((↑) : NonUnitalSubalgebra R A → Set A)).l_sup
lemma adjoin_eq (s : NonUnitalSubalgebra R A) : adjoin R (s : Set A) = s :=
le_antisymm (adjoin_le le_rfl) (subset_adjoin R)
/-- If some predicate holds for all `x ∈ (s : Set A)` and this predicate is closed under the
`algebraMap`, addition, multiplication and star operations, then it holds for `a ∈ adjoin R s`. -/
@[elab_as_elim]
theorem adjoin_induction {s : Set A} {p : (x : A) → x ∈ adjoin R s → Prop}
(mem : ∀ (x) (hx : x ∈ s), p x (subset_adjoin R 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 x hx, p x hx → p (r • x) (SMulMemClass.smul_mem r hx))
{x} (hx : x ∈ adjoin R s) : p x hx :=
let S : NonUnitalSubalgebra R A :=
{ carrier := { x | ∃ hx, p x hx }
mul_mem' := (Exists.elim · fun _ ha ↦ (Exists.elim · fun _ hb ↦ ⟨_, mul _ _ _ _ ha hb⟩))
add_mem' := (Exists.elim · fun _ ha ↦ (Exists.elim · fun _ hb ↦ ⟨_, add _ _ _ _ ha hb⟩))
smul_mem' := fun r ↦ (Exists.elim · fun _ hb ↦ ⟨_, smul r _ _ hb⟩)
zero_mem' := ⟨_, zero⟩ }
adjoin_le (S := S) (fun y hy ↦ ⟨subset_adjoin R hy, mem y hy⟩) hx |>.elim fun _ ↦ id
@[elab_as_elim]
theorem adjoin_induction₂ {s : Set A} {p : ∀ x y, x ∈ adjoin R s → y ∈ adjoin R s → Prop}
(mem_mem : ∀ (x) (y) (hx : x ∈ s) (hy : y ∈ s), p x y (subset_adjoin R hx) (subset_adjoin R hy))
(zero_left : ∀ x hx, p 0 x (zero_mem _) hx) (zero_right : ∀ x hx, p x 0 hx (zero_mem _))
(add_left : ∀ x y z hx hy hz, p x z hx hz → p y z hy hz → p (x + y) z (add_mem hx hy) hz)
(add_right : ∀ x y z hx hy hz, p x y hx hy → p x z hx hz → p x (y + z) hx (add_mem hy hz))
(mul_left : ∀ x y z hx hy hz, p x z hx hz → p y z hy hz → p (x * y) z (mul_mem hx hy) hz)
(mul_right : ∀ x y z hx hy hz, p x y hx hy → p x z hx hz → p x (y * z) hx (mul_mem hy hz))
(smul_left : ∀ r x y hx hy, p x y hx hy → p (r • x) y (SMulMemClass.smul_mem r hx) hy)
(smul_right : ∀ r x y hx hy, p x y hx hy → p x (r • y) hx (SMulMemClass.smul_mem r hy))
{x y : A} (hx : x ∈ adjoin R s) (hy : y ∈ adjoin R s) :
p x y hx hy := by
induction hy using adjoin_induction with
| mem z hz =>
induction hx using adjoin_induction with
| mem _ h => exact mem_mem _ _ h hz
| zero => exact zero_left _ _
| mul _ _ _ _ h₁ h₂ => exact mul_left _ _ _ _ _ _ h₁ h₂
| add _ _ _ _ h₁ h₂ => exact add_left _ _ _ _ _ _ h₁ h₂
| smul _ _ _ h => exact smul_left _ _ _ _ _ h
| zero => exact zero_right x hx
| mul _ _ _ _ h₁ h₂ => exact mul_right _ _ _ _ _ _ h₁ h₂
| add _ _ _ _ h₁ h₂ => exact add_right _ _ _ _ _ _ h₁ h₂
| smul _ _ _ h => exact smul_right _ _ _ _ _ h
open Submodule in
lemma adjoin_eq_span (s : Set A) : (adjoin R s).toSubmodule = span R (Subsemigroup.closure s) := by
apply le_antisymm
· intro x hx
induction hx using adjoin_induction with
| mem x hx => exact subset_span <| Subsemigroup.subset_closure hx
| add x y _ _ hpx hpy => exact add_mem hpx hpy
| zero => exact zero_mem _
| mul x y _ _ hpx hpy =>
apply span_induction₂ ?Hs (by simp) (by simp) ?Hadd_l ?Hadd_r ?Hsmul_l ?Hsmul_r hpx hpy
case Hs => exact fun x y hx hy ↦ subset_span <| mul_mem hx hy
case Hadd_l => exact fun x y z _ _ _ hxz hyz ↦ by simpa [add_mul] using add_mem hxz hyz
case Hadd_r => exact fun x y z _ _ _ hxz hyz ↦ by simpa [mul_add] using add_mem hxz hyz
case Hsmul_l => exact fun r x y _ _ hxy ↦ by simpa [smul_mul_assoc] using smul_mem _ _ hxy
case Hsmul_r => exact fun r x y _ _ hxy ↦ by simpa [mul_smul_comm] using smul_mem _ _ hxy
| smul r x _ hpx => exact smul_mem _ _ hpx
· apply span_le.2 _
show Subsemigroup.closure s ≤ (adjoin R s).toSubsemigroup
exact Subsemigroup.closure_le.2 (subset_adjoin R)
variable (R A)
@[simp]
theorem adjoin_empty : adjoin R (∅ : Set A) = ⊥ :=
show adjoin R ⊥ = ⊥ by apply GaloisConnection.l_bot; exact NonUnitalAlgebra.gc
@[simp]
theorem adjoin_univ : adjoin R (Set.univ : Set A) = ⊤ :=
eq_top_iff.2 fun _x hx => subset_adjoin R hx
open NonUnitalSubalgebra in
lemma _root_.NonUnitalAlgHom.map_adjoin [IsScalarTower R B B] [SMulCommClass R B B]
(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) NonUnitalAlgebra.gi.gc
NonUnitalAlgebra.gi.gc fun _t => rfl
open NonUnitalSubalgebra in
@[simp]
lemma _root_.NonUnitalAlgHom.map_adjoin_singleton [IsScalarTower R B B] [SMulCommClass R B B]
(f : F) (x : A) : map f (adjoin R {x}) = adjoin R {f x} := by
simp [NonUnitalAlgHom.map_adjoin]
variable {R A}
@[simp]
theorem coe_top : (↑(⊤ : NonUnitalSubalgebra R A) : Set A) = Set.univ :=
rfl
@[simp]
theorem mem_top {x : A} : x ∈ (⊤ : NonUnitalSubalgebra R A) :=
Set.mem_univ x
@[simp]
theorem top_toSubmodule : (⊤ : NonUnitalSubalgebra R A).toSubmodule = ⊤ :=
rfl
@[simp]
theorem top_toNonUnitalSubsemiring : (⊤ : NonUnitalSubalgebra R A).toNonUnitalSubsemiring = ⊤ :=
rfl
@[simp]
theorem top_toSubring {R A : Type*} [CommRing R] [NonUnitalNonAssocRing A] [Module R A]
[IsScalarTower R A A] [SMulCommClass R A A] :
(⊤ : NonUnitalSubalgebra R A).toNonUnitalSubring = ⊤ :=
rfl
@[simp]
theorem toSubmodule_eq_top {S : NonUnitalSubalgebra R A} : S.toSubmodule = ⊤ ↔ S = ⊤ :=
NonUnitalSubalgebra.toSubmodule'.injective.eq_iff' top_toSubmodule
@[simp]
theorem toNonUnitalSubsemiring_eq_top {S : NonUnitalSubalgebra R A} :
S.toNonUnitalSubsemiring = ⊤ ↔ S = ⊤ :=
NonUnitalSubalgebra.toNonUnitalSubsemiring_injective.eq_iff' top_toNonUnitalSubsemiring
@[simp]
theorem to_subring_eq_top {R A : Type*} [CommRing R] [Ring A] [Algebra R A]
{S : NonUnitalSubalgebra R A} : S.toNonUnitalSubring = ⊤ ↔ S = ⊤ :=
NonUnitalSubalgebra.toNonUnitalSubring_injective.eq_iff' top_toSubring
theorem mem_sup_left {S T : NonUnitalSubalgebra R A} : ∀ {x : A}, x ∈ S → x ∈ S ⊔ T := by
rw [← SetLike.le_def]
exact le_sup_left
theorem mem_sup_right {S T : NonUnitalSubalgebra R A} : ∀ {x : A}, x ∈ T → x ∈ S ⊔ T := by
rw [← SetLike.le_def]
exact le_sup_right
theorem mul_mem_sup {S T : NonUnitalSubalgebra 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]
(f : F) (S T : NonUnitalSubalgebra R A) :
((S ⊔ T).map f : NonUnitalSubalgebra R B) = S.map f ⊔ T.map f :=
(NonUnitalSubalgebra.gc_map_comap f).l_sup
theorem map_inf [IsScalarTower R B B] [SMulCommClass R B B]
(f : F) (hf : Function.Injective f) (S T : NonUnitalSubalgebra R A) :
((S ⊓ T).map f : NonUnitalSubalgebra R B) = S.map f ⊓ T.map f :=
SetLike.coe_injective (Set.image_inter hf)
@[simp, norm_cast]
theorem coe_inf (S T : NonUnitalSubalgebra R A) : (↑(S ⊓ T) : Set A) = (S : Set A) ∩ T :=
rfl
@[simp]
theorem mem_inf {S T : NonUnitalSubalgebra R A} {x : A} : x ∈ S ⊓ T ↔ x ∈ S ∧ x ∈ T :=
Iff.rfl
@[simp]
theorem inf_toSubmodule (S T : NonUnitalSubalgebra R A) :
(S ⊓ T).toSubmodule = S.toSubmodule ⊓ T.toSubmodule :=
rfl
@[simp]
theorem inf_toNonUnitalSubsemiring (S T : NonUnitalSubalgebra R A) :
(S ⊓ T).toNonUnitalSubsemiring = S.toNonUnitalSubsemiring ⊓ T.toNonUnitalSubsemiring :=
rfl
@[simp, norm_cast]
theorem coe_sInf (S : Set (NonUnitalSubalgebra R A)) : (↑(sInf S) : Set A) = ⋂ s ∈ S, ↑s :=
sInf_image
theorem mem_sInf {S : Set (NonUnitalSubalgebra 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_toSubmodule (S : Set (NonUnitalSubalgebra R A)) :
(sInf S).toSubmodule = sInf (NonUnitalSubalgebra.toSubmodule '' S) :=
SetLike.coe_injective <| by simp
@[simp]
theorem sInf_toNonUnitalSubsemiring (S : Set (NonUnitalSubalgebra R A)) :
(sInf S).toNonUnitalSubsemiring = sInf (NonUnitalSubalgebra.toNonUnitalSubsemiring '' S) :=
SetLike.coe_injective <| by simp
@[simp, norm_cast]
theorem coe_iInf {ι : Sort*} {S : ι → NonUnitalSubalgebra R A} :
(↑(⨅ i, S i) : Set A) = ⋂ i, S i := by simp [iInf]
theorem mem_iInf {ι : Sort*} {S : ι → NonUnitalSubalgebra 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] (f : F)
(hf : Function.Injective f) (S : ι → NonUnitalSubalgebra R A) :
((⨅ i, S i).map f : NonUnitalSubalgebra 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_toSubmodule {ι : Sort*} (S : ι → NonUnitalSubalgebra R A) :
(⨅ i, S i).toSubmodule = ⨅ i, (S i).toSubmodule :=
SetLike.coe_injective <| by simp
instance : Inhabited (NonUnitalSubalgebra R A) :=
⟨⊥⟩
theorem mem_bot {x : A} : x ∈ (⊥ : NonUnitalSubalgebra R A) ↔ x = 0 :=
show x ∈ Submodule.span R (NonUnitalSubsemiring.closure (∅ : Set A) : Set A) ↔ x = 0 by
rw [NonUnitalSubsemiring.closure_empty, NonUnitalSubsemiring.coe_bot,
Submodule.span_zero_singleton, Submodule.mem_bot]
theorem toSubmodule_bot : (⊥ : NonUnitalSubalgebra R A).toSubmodule = ⊥ := by
ext
simp only [mem_bot, NonUnitalSubalgebra.mem_toSubmodule, Submodule.mem_bot]
@[simp]
theorem coe_bot : ((⊥ : NonUnitalSubalgebra R A) : Set A) = {0} := by
simp [Set.ext_iff, NonUnitalAlgebra.mem_bot]
theorem eq_top_iff {S : NonUnitalSubalgebra 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 : NonUnitalAlgHom.range (NonUnitalAlgHom.id R A) = ⊤ :=
SetLike.coe_injective Set.range_id
@[simp]
theorem map_top (f : A →ₙₐ[R] B) : (⊤ : NonUnitalSubalgebra R A).map f = NonUnitalAlgHom.range f :=
SetLike.coe_injective Set.image_univ
@[simp]
theorem map_bot [IsScalarTower R B B] [SMulCommClass R B B]
(f : A →ₙₐ[R] B) : (⊥ : NonUnitalSubalgebra R A).map f = ⊥ :=
SetLike.coe_injective <| by simp [NonUnitalAlgebra.coe_bot, NonUnitalSubalgebra.coe_map]
@[simp]
theorem comap_top [IsScalarTower R B B] [SMulCommClass R B B]
(f : A →ₙₐ[R] B) : (⊤ : NonUnitalSubalgebra R B).comap f = ⊤ :=
eq_top_iff.2 fun _ => mem_top
/-- `NonUnitalAlgHom` to `⊤ : NonUnitalSubalgebra R A`. -/
def toTop : A →ₙₐ[R] (⊤ : NonUnitalSubalgebra R A) :=
NonUnitalAlgHom.codRestrict (NonUnitalAlgHom.id R A) ⊤ fun _ => mem_top
end IsScalarTower
theorem range_eq_top [IsScalarTower R B B] [SMulCommClass R B B] (f : A →ₙₐ[R] B) :
NonUnitalAlgHom.range f = (⊤ : NonUnitalSubalgebra R B) ↔ Function.Surjective f :=
NonUnitalAlgebra.eq_top_iff
@[deprecated (since := "2024-11-11")] alias range_top_iff_surjective := range_eq_top
end NonUnitalAlgebra
namespace NonUnitalSubalgebra
open NonUnitalAlgebra
section NonAssoc
variable {R : Type u} {A : Type v} {B : Type w}
variable [CommSemiring R]
variable [NonUnitalNonAssocSemiring A] [Module R A]
variable (S : NonUnitalSubalgebra R A)
theorem range_val : NonUnitalAlgHom.range (NonUnitalSubalgebraClass.subtype S) = S :=
ext <| Set.ext_iff.1 <|
(NonUnitalAlgHom.coe_range <| NonUnitalSubalgebraClass.subtype S).trans Subtype.range_val
instance subsingleton_of_subsingleton [Subsingleton A] : Subsingleton (NonUnitalSubalgebra R A) :=
⟨fun B C => ext fun x => by simp only [Subsingleton.elim x 0, zero_mem B, zero_mem C]⟩
variable [NonUnitalNonAssocSemiring B] [Module R B]
section Prod
variable (S₁ : NonUnitalSubalgebra R B)
/-- The product of two non-unital subalgebras is a non-unital subalgebra. -/
def prod : NonUnitalSubalgebra R (A × B) :=
{ S.toNonUnitalSubsemiring.prod S₁.toNonUnitalSubsemiring with
carrier := S ×ˢ S₁
smul_mem' := fun r _x hx => ⟨SMulMemClass.smul_mem r hx.1, SMulMemClass.smul_mem r hx.2⟩ }
@[simp]
theorem coe_prod : (prod S S₁ : Set (A × B)) = (S : Set A) ×ˢ S₁ :=
rfl
theorem prod_toSubmodule : (S.prod S₁).toSubmodule = S.toSubmodule.prod S₁.toSubmodule :=
rfl
@[simp]
theorem mem_prod {S : NonUnitalSubalgebra R A} {S₁ : NonUnitalSubalgebra R B} {x : A × B} :
x ∈ prod S S₁ ↔ x.1 ∈ S ∧ x.2 ∈ S₁ :=
Set.mem_prod
variable [IsScalarTower R A A] [SMulCommClass R A A] [IsScalarTower R B B] [SMulCommClass R B B]
@[simp]
theorem prod_top : (prod ⊤ ⊤ : NonUnitalSubalgebra R (A × B)) = ⊤ := by ext; simp
theorem prod_mono {S T : NonUnitalSubalgebra R A} {S₁ T₁ : NonUnitalSubalgebra R B} :
S ≤ T → S₁ ≤ T₁ → prod S S₁ ≤ prod T T₁ :=
Set.prod_mono
@[simp]
theorem prod_inf_prod {S T : NonUnitalSubalgebra R A} {S₁ T₁ : NonUnitalSubalgebra R B} :
S.prod S₁ ⊓ T.prod T₁ = (S ⊓ T).prod (S₁ ⊓ T₁) :=
SetLike.coe_injective Set.prod_inter_prod
end Prod
variable [IsScalarTower R A A] [SMulCommClass R A A]
instance _root_.NonUnitalAlgHom.subsingleton [Subsingleton (NonUnitalSubalgebra R A)] :
Subsingleton (A →ₙₐ[R] B) :=
⟨fun f g =>
NonUnitalAlgHom.ext fun a =>
have : a ∈ (⊥ : NonUnitalSubalgebra R A) :=
Subsingleton.elim (⊤ : NonUnitalSubalgebra R A) ⊥ ▸ mem_top
(mem_bot.mp this).symm ▸ (map_zero f).trans (map_zero g).symm⟩
/-- The map `S → T` when `S` is a non-unital subalgebra contained in the non-unital subalgebra `T`.
This is the non-unital subalgebra version of `Submodule.inclusion`, or `Subring.inclusion` -/
def inclusion {S T : NonUnitalSubalgebra R A} (h : S ≤ T) : S →ₙₐ[R] T where
toFun := Set.inclusion h
map_add' _ _ := rfl
map_mul' _ _ := rfl
map_zero' := rfl
map_smul' _ _ := rfl
theorem inclusion_injective {S T : NonUnitalSubalgebra R A} (h : S ≤ T) :
Function.Injective (inclusion h) := fun _ _ => Subtype.ext ∘ Subtype.mk.inj
@[simp]
theorem inclusion_self {S : NonUnitalSubalgebra R A} :
inclusion (le_refl S) = NonUnitalAlgHom.id R S :=
rfl
@[simp]
theorem inclusion_mk {S T : NonUnitalSubalgebra R A} (h : S ≤ T) (x : A) (hx : x ∈ S) :
inclusion h ⟨x, hx⟩ = ⟨x, h hx⟩ :=
rfl
theorem inclusion_right {S T : NonUnitalSubalgebra R A} (h : S ≤ T) (x : T) (m : (x : A) ∈ S) :
inclusion h ⟨x, m⟩ = x :=
Subtype.ext rfl
@[simp]
theorem inclusion_inclusion {S T U : NonUnitalSubalgebra R A} (hst : S ≤ T) (htu : T ≤ U) (x : S) :
inclusion htu (inclusion hst x) = inclusion (le_trans hst htu) x :=
Subtype.ext rfl
@[simp]
theorem coe_inclusion {S T : NonUnitalSubalgebra R A} (h : S ≤ T) (s : S) :
(inclusion h s : A) = s :=
rfl
section SuprLift
variable {ι : Type*}
theorem coe_iSup_of_directed [Nonempty ι] {S : ι → NonUnitalSubalgebra R A}
(dir : Directed (· ≤ ·) S) : ↑(iSup S) = ⋃ i, (S i : Set A) :=
let K : NonUnitalSubalgebra R A :=
{ __ := NonUnitalSubsemiring.copy _ _ (NonUnitalSubsemiring.coe_iSup_of_directed dir).symm
smul_mem' := fun r _x hx ↦
let ⟨i, hi⟩ := Set.mem_iUnion.1 hx
Set.mem_iUnion.2 ⟨i, (S i).smul_mem' r hi⟩ }
have : iSup S = K := le_antisymm
(iSup_le fun i ↦ le_iSup (fun i ↦ (S i : Set A)) i) (Set.iUnion_subset fun _ ↦ le_iSup S _)
this.symm ▸ rfl
/-- Define an algebra homomorphism on a directed supremum of non-unital subalgebras by defining
| it on each non-unital subalgebra, and proving that it agrees on the intersection of
non-unital subalgebras. -/
noncomputable def iSupLift [Nonempty ι] (K : ι → NonUnitalSubalgebra R A) (dir : Directed (· ≤ ·) K)
(f : ∀ i, K i →ₙₐ[R] B) (hf : ∀ (i j : ι) (h : K i ≤ K j), f i = (f j).comp (inclusion h))
(T : NonUnitalSubalgebra R A) (hT : T = iSup K) : ↥T →ₙₐ[R] B := by
| Mathlib/Algebra/Algebra/NonUnitalSubalgebra.lean | 985 | 989 |
/-
Copyright (c) 2014 Jeremy Avigad. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jeremy Avigad, Leonardo de Moura, Floris van Doorn, Yury Kudryashov, Neil Strickland
-/
import Mathlib.Algebra.Ring.InjSurj
import Mathlib.Algebra.Group.Units.Hom
import Mathlib.Algebra.Ring.Hom.Defs
/-!
# Units in semirings and rings
-/
universe u v w x
variable {α : Type u} {β : Type v} {R : Type x}
open Function
namespace Units
section HasDistribNeg
variable [Monoid α] [HasDistribNeg α]
/-- Each element of the group of units of a ring has an additive inverse. -/
instance : Neg αˣ :=
⟨fun u => ⟨-↑u, -↑u⁻¹, by simp, by simp⟩⟩
/-- Representing an element of a ring's unit group as an element of the ring commutes with
mapping this element to its additive inverse. -/
@[simp, norm_cast]
protected theorem val_neg (u : αˣ) : (↑(-u) : α) = -u :=
rfl
@[simp, norm_cast]
protected theorem coe_neg_one : ((-1 : αˣ) : α) = -1 :=
rfl
instance : HasDistribNeg αˣ :=
Units.ext.hasDistribNeg _ Units.val_neg Units.val_mul
@[field_simps]
theorem neg_divp (a : α) (u : αˣ) : -(a /ₚ u) = -a /ₚ u := by simp only [divp, neg_mul]
end HasDistribNeg
section Ring
variable [Ring α]
-- Needs to have higher simp priority than divp_add_divp. 1000 is the default priority.
@[field_simps 1010]
theorem divp_add_divp_same (a b : α) (u : αˣ) : a /ₚ u + b /ₚ u = (a + b) /ₚ u := by
simp only [divp, add_mul]
-- Needs to have higher simp priority than divp_sub_divp. 1000 is the default priority.
@[field_simps 1010]
theorem divp_sub_divp_same (a b : α) (u : αˣ) : a /ₚ u - b /ₚ u = (a - b) /ₚ u := by
rw [sub_eq_add_neg, sub_eq_add_neg, neg_divp, divp_add_divp_same]
@[field_simps]
theorem add_divp (a b : α) (u : αˣ) : a + b /ₚ u = (a * u + b) /ₚ u := by
simp only [divp, add_mul, Units.mul_inv_cancel_right]
@[field_simps]
theorem sub_divp (a b : α) (u : αˣ) : a - b /ₚ u = (a * u - b) /ₚ u := by
simp only [divp, sub_mul, Units.mul_inv_cancel_right]
@[field_simps]
theorem divp_add (a b : α) (u : αˣ) : a /ₚ u + b = (a + b * u) /ₚ u := by
simp only [divp, add_mul, Units.mul_inv_cancel_right]
@[field_simps]
theorem divp_sub (a b : α) (u : αˣ) : a /ₚ u - b = (a - b * u) /ₚ u := by
simp only [divp, sub_mul, sub_right_inj]
rw [mul_assoc, Units.mul_inv, mul_one]
@[simp]
protected theorem map_neg {F : Type*} [Ring β] [FunLike F α β] [RingHomClass F α β]
(f : F) (u : αˣ) : map (f : α →* β) (-u) = -map (f : α →* β) u :=
ext (by simp only [coe_map, Units.val_neg, MonoidHom.coe_coe, map_neg])
protected theorem map_neg_one {F : Type*} [Ring β] [FunLike F α β] [RingHomClass F α β]
(f : F) : map (f : α →* β) (-1) = -1 := by
simp only [Units.map_neg, map_one]
end Ring
end Units
|
theorem IsUnit.neg [Monoid α] [HasDistribNeg α] {a : α} : IsUnit a → IsUnit (-a)
| ⟨x, hx⟩ => hx ▸ (-x).isUnit
| Mathlib/Algebra/Ring/Units.lean | 93 | 95 |
/-
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.Algebra.Polynomial.Identities
import Mathlib.Analysis.SpecificLimits.Basic
import Mathlib.NumberTheory.Padics.PadicIntegers
import Mathlib.Topology.Algebra.Polynomial
import Mathlib.Topology.MetricSpace.CauSeqFilter
/-!
# Hensel's lemma on ℤ_p
This file proves Hensel's lemma on ℤ_p, roughly following Keith Conrad's writeup:
<http://www.math.uconn.edu/~kconrad/blurbs/gradnumthy/hensel.pdf>
Hensel's lemma gives a simple condition for the existence of a root of a polynomial.
The proof and motivation are described in the paper
[R. Y. Lewis, *A formal proof of Hensel's lemma over the p-adic integers*][lewis2019].
## References
* <http://www.math.uconn.edu/~kconrad/blurbs/gradnumthy/hensel.pdf>
* [R. Y. Lewis, *A formal proof of Hensel's lemma over the p-adic integers*][lewis2019]
* <https://en.wikipedia.org/wiki/Hensel%27s_lemma>
## Tags
p-adic, p adic, padic, p-adic integer
-/
noncomputable section
open Topology
-- We begin with some general lemmas that are used below in the computation.
theorem padic_polynomial_dist {p : ℕ} [Fact p.Prime] (F : Polynomial ℤ_[p]) (x y : ℤ_[p]) :
‖F.eval x - F.eval y‖ ≤ ‖x - y‖ :=
let ⟨z, hz⟩ := F.evalSubFactor x y
| calc
‖F.eval x - F.eval y‖ = ‖z‖ * ‖x - y‖ := by simp [hz]
_ ≤ 1 * ‖x - y‖ := by gcongr; apply PadicInt.norm_le_one
_ = ‖x - y‖ := by simp
open Filter Metric
| Mathlib/NumberTheory/Padics/Hensel.lean | 43 | 49 |
/-
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 | 1,230 | 1,245 | |
/-
Copyright (c) 2014 Jeremy Avigad. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jeremy Avigad, Leonardo de Moura
-/
import Batteries.Tactic.Congr
import Mathlib.Data.Option.Basic
import Mathlib.Data.Prod.Basic
import Mathlib.Data.Set.Subsingleton
import Mathlib.Data.Set.SymmDiff
import Mathlib.Data.Set.Inclusion
/-!
# Images and preimages of sets
## Main definitions
* `preimage f t : Set α` : the preimage f⁻¹(t) (written `f ⁻¹' t` in Lean) of a subset of β.
* `range f : Set β` : the image of `univ` under `f`.
Also works for `{p : Prop} (f : p → α)` (unlike `image`)
## Notation
* `f ⁻¹' t` for `Set.preimage f t`
* `f '' s` for `Set.image f s`
## Tags
set, sets, image, preimage, pre-image, range
-/
assert_not_exists WithTop OrderIso
universe u v
open Function Set
namespace Set
variable {α β γ : Type*} {ι : Sort*}
/-! ### Inverse image -/
section Preimage
variable {f : α → β} {g : β → γ}
@[simp]
theorem preimage_empty : f ⁻¹' ∅ = ∅ :=
rfl
theorem preimage_congr {f g : α → β} {s : Set β} (h : ∀ x : α, f x = g x) : f ⁻¹' s = g ⁻¹' s := by
congr with x
simp [h]
@[gcongr]
theorem preimage_mono {s t : Set β} (h : s ⊆ t) : f ⁻¹' s ⊆ f ⁻¹' t := fun _ hx => h hx
@[simp, mfld_simps]
theorem preimage_univ : f ⁻¹' univ = univ :=
rfl
theorem subset_preimage_univ {s : Set α} : s ⊆ f ⁻¹' univ :=
subset_univ _
@[simp, mfld_simps]
theorem preimage_inter {s t : Set β} : f ⁻¹' (s ∩ t) = f ⁻¹' s ∩ f ⁻¹' t :=
rfl
@[simp]
theorem preimage_union {s t : Set β} : f ⁻¹' (s ∪ t) = f ⁻¹' s ∪ f ⁻¹' t :=
rfl
@[simp]
theorem preimage_compl {s : Set β} : f ⁻¹' sᶜ = (f ⁻¹' s)ᶜ :=
rfl
@[simp]
theorem preimage_diff (f : α → β) (s t : Set β) : f ⁻¹' (s \ t) = f ⁻¹' s \ f ⁻¹' t :=
rfl
open scoped symmDiff in
@[simp]
lemma preimage_symmDiff {f : α → β} (s t : Set β) : f ⁻¹' (s ∆ t) = (f ⁻¹' s) ∆ (f ⁻¹' t) :=
rfl
@[simp]
theorem preimage_ite (f : α → β) (s t₁ t₂ : Set β) :
f ⁻¹' s.ite t₁ t₂ = (f ⁻¹' s).ite (f ⁻¹' t₁) (f ⁻¹' t₂) :=
rfl
@[simp]
theorem preimage_setOf_eq {p : α → Prop} {f : β → α} : f ⁻¹' { a | p a } = { a | p (f a) } :=
rfl
@[simp]
theorem preimage_id_eq : preimage (id : α → α) = id :=
rfl
@[mfld_simps]
theorem preimage_id {s : Set α} : id ⁻¹' s = s :=
rfl
@[simp, mfld_simps]
theorem preimage_id' {s : Set α} : (fun x => x) ⁻¹' s = s :=
rfl
@[simp]
theorem preimage_const_of_mem {b : β} {s : Set β} (h : b ∈ s) : (fun _ : α => b) ⁻¹' s = univ :=
eq_univ_of_forall fun _ => h
@[simp]
theorem preimage_const_of_not_mem {b : β} {s : Set β} (h : b ∉ s) : (fun _ : α => b) ⁻¹' s = ∅ :=
eq_empty_of_subset_empty fun _ hx => h hx
theorem preimage_const (b : β) (s : Set β) [Decidable (b ∈ s)] :
(fun _ : α => b) ⁻¹' s = if b ∈ s then univ else ∅ := by
split_ifs with hb
exacts [preimage_const_of_mem hb, preimage_const_of_not_mem hb]
/-- If preimage of each singleton under `f : α → β` is either empty or the whole type,
then `f` is a constant. -/
lemma exists_eq_const_of_preimage_singleton [Nonempty β] {f : α → β}
(hf : ∀ b : β, f ⁻¹' {b} = ∅ ∨ f ⁻¹' {b} = univ) : ∃ b, f = const α b := by
rcases em (∃ b, f ⁻¹' {b} = univ) with ⟨b, hb⟩ | hf'
· exact ⟨b, funext fun x ↦ eq_univ_iff_forall.1 hb x⟩
· have : ∀ x b, f x ≠ b := fun x b ↦
eq_empty_iff_forall_not_mem.1 ((hf b).resolve_right fun h ↦ hf' ⟨b, h⟩) x
exact ⟨Classical.arbitrary β, funext fun x ↦ absurd rfl (this x _)⟩
theorem preimage_comp {s : Set γ} : g ∘ f ⁻¹' s = f ⁻¹' (g ⁻¹' s) :=
rfl
theorem preimage_comp_eq : preimage (g ∘ f) = preimage f ∘ preimage g :=
rfl
theorem preimage_iterate_eq {f : α → α} {n : ℕ} : Set.preimage f^[n] = (Set.preimage f)^[n] := by
induction n with
| zero => simp
| succ n ih => rw [iterate_succ, iterate_succ', preimage_comp_eq, ih]
theorem preimage_preimage {g : β → γ} {f : α → β} {s : Set γ} :
f ⁻¹' (g ⁻¹' s) = (fun x => g (f x)) ⁻¹' s :=
preimage_comp.symm
theorem eq_preimage_subtype_val_iff {p : α → Prop} {s : Set (Subtype p)} {t : Set α} :
s = Subtype.val ⁻¹' t ↔ ∀ (x) (h : p x), (⟨x, h⟩ : Subtype p) ∈ s ↔ x ∈ t :=
⟨fun s_eq x h => by
rw [s_eq]
simp, fun h => ext fun ⟨x, hx⟩ => by simp [h]⟩
theorem nonempty_of_nonempty_preimage {s : Set β} {f : α → β} (hf : (f ⁻¹' s).Nonempty) :
s.Nonempty :=
let ⟨x, hx⟩ := hf
⟨f x, hx⟩
@[simp] theorem preimage_singleton_true (p : α → Prop) : p ⁻¹' {True} = {a | p a} := by ext; simp
@[simp] theorem preimage_singleton_false (p : α → Prop) : p ⁻¹' {False} = {a | ¬p a} := by ext; simp
theorem preimage_subtype_coe_eq_compl {s u v : Set α} (hsuv : s ⊆ u ∪ v)
(H : s ∩ (u ∩ v) = ∅) : ((↑) : s → α) ⁻¹' u = ((↑) ⁻¹' v)ᶜ := by
ext ⟨x, x_in_s⟩
constructor
· intro x_in_u x_in_v
exact eq_empty_iff_forall_not_mem.mp H x ⟨x_in_s, ⟨x_in_u, x_in_v⟩⟩
· intro hx
exact Or.elim (hsuv x_in_s) id fun hx' => hx.elim hx'
lemma preimage_subset {s t} (hs : s ⊆ f '' t) (hf : Set.InjOn f (f ⁻¹' s)) : f ⁻¹' s ⊆ t := by
rintro a ha
obtain ⟨b, hb, hba⟩ := hs ha
rwa [hf ha _ hba.symm]
simpa [hba]
end Preimage
/-! ### Image of a set under a function -/
section Image
variable {f : α → β} {s t : Set α}
theorem image_eta (f : α → β) : f '' s = (fun x => f x) '' s :=
rfl
theorem _root_.Function.Injective.mem_set_image {f : α → β} (hf : Injective f) {s : Set α} {a : α} :
f a ∈ f '' s ↔ a ∈ s :=
⟨fun ⟨_, hb, Eq⟩ => hf Eq ▸ hb, mem_image_of_mem f⟩
lemma preimage_subset_of_surjOn {t : Set β} (hf : Injective f) (h : SurjOn f s t) :
f ⁻¹' t ⊆ s := fun _ hx ↦
hf.mem_set_image.1 <| h hx
theorem forall_mem_image {f : α → β} {s : Set α} {p : β → Prop} :
(∀ y ∈ f '' s, p y) ↔ ∀ ⦃x⦄, x ∈ s → p (f x) := by simp
theorem exists_mem_image {f : α → β} {s : Set α} {p : β → Prop} :
(∃ y ∈ f '' s, p y) ↔ ∃ x ∈ s, p (f x) := by simp
@[congr]
theorem image_congr {f g : α → β} {s : Set α} (h : ∀ a ∈ s, f a = g a) : f '' s = g '' s := by
aesop
/-- A common special case of `image_congr` -/
theorem image_congr' {f g : α → β} {s : Set α} (h : ∀ x : α, f x = g x) : f '' s = g '' s :=
image_congr fun x _ => h x
@[gcongr]
lemma image_mono (h : s ⊆ t) : f '' s ⊆ f '' t := by
rintro - ⟨a, ha, rfl⟩; exact mem_image_of_mem f (h ha)
theorem image_comp (f : β → γ) (g : α → β) (a : Set α) : f ∘ g '' a = f '' (g '' a) := by aesop
theorem image_comp_eq {g : β → γ} : image (g ∘ f) = image g ∘ image f := by ext; simp
/-- A variant of `image_comp`, useful for rewriting -/
theorem image_image (g : β → γ) (f : α → β) (s : Set α) : g '' (f '' s) = (fun x => g (f x)) '' s :=
(image_comp g f s).symm
theorem image_comm {β'} {f : β → γ} {g : α → β} {f' : α → β'} {g' : β' → γ}
| (h_comm : ∀ a, f (g a) = g' (f' a)) : (s.image g).image f = (s.image f').image g' := by
simp_rw [image_image, h_comm]
| Mathlib/Data/Set/Image.lean | 227 | 228 |
/-
Copyright (c) 2020 Anatole Dedecker. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Anatole Dedecker
-/
import Mathlib.Analysis.Calculus.Deriv.Inv
import Mathlib.Analysis.Calculus.Deriv.MeanValue
/-!
# L'Hôpital's rule for 0/0 indeterminate forms
In this file, we prove several forms of "L'Hôpital's rule" for computing 0/0
indeterminate forms. The proof of `HasDerivAt.lhopital_zero_right_on_Ioo`
is based on the one given in the corresponding
[Wikibooks](https://en.wikibooks.org/wiki/Calculus/L%27H%C3%B4pital%27s_Rule)
chapter, and all other statements are derived from this one by composing by
carefully chosen functions.
Note that the filter `f'/g'` tends to isn't required to be one of `𝓝 a`,
`atTop` or `atBot`. In fact, we give a slightly stronger statement by
allowing it to be any filter on `ℝ`.
Each statement is available in a `HasDerivAt` form and a `deriv` form, which
is denoted by each statement being in either the `HasDerivAt` or the `deriv`
namespace.
## Tags
L'Hôpital's rule, L'Hopital's rule
-/
open Filter Set
open scoped Filter Topology Pointwise
variable {a b : ℝ} {l : Filter ℝ} {f f' g g' : ℝ → ℝ}
/-!
## Interval-based versions
We start by proving statements where all conditions (derivability, `g' ≠ 0`) have
to be satisfied on an explicitly-provided interval.
-/
namespace HasDerivAt
theorem lhopital_zero_right_on_Ioo (hab : a < b) (hff' : ∀ x ∈ Ioo a b, HasDerivAt f (f' x) x)
(hgg' : ∀ x ∈ Ioo a b, HasDerivAt g (g' x) x) (hg' : ∀ x ∈ Ioo a b, g' x ≠ 0)
(hfa : Tendsto f (𝓝[>] a) (𝓝 0)) (hga : Tendsto g (𝓝[>] a) (𝓝 0))
(hdiv : Tendsto (fun x => f' x / g' x) (𝓝[>] a) l) :
Tendsto (fun x => f x / g x) (𝓝[>] a) l := by
have sub : ∀ x ∈ Ioo a b, Ioo a x ⊆ Ioo a b := fun x hx =>
Ioo_subset_Ioo (le_refl a) (le_of_lt hx.2)
have hg : ∀ x ∈ Ioo a b, g x ≠ 0 := by
intro x hx h
have : Tendsto g (𝓝[<] x) (𝓝 0) := by
rw [← h, ← nhdsWithin_Ioo_eq_nhdsLT hx.1]
exact ((hgg' x hx).continuousAt.continuousWithinAt.mono <| sub x hx).tendsto
obtain ⟨y, hyx, hy⟩ : ∃ c ∈ Ioo a x, g' c = 0 :=
exists_hasDerivAt_eq_zero' hx.1 hga this fun y hy => hgg' y <| sub x hx hy
exact hg' y (sub x hx hyx) hy
have : ∀ x ∈ Ioo a b, ∃ c ∈ Ioo a x, f x * g' c = g x * f' c := by
intro x hx
rw [← sub_zero (f x), ← sub_zero (g x)]
exact exists_ratio_hasDerivAt_eq_ratio_slope' g g' hx.1 f f' (fun y hy => hgg' y <| sub x hx hy)
(fun y hy => hff' y <| sub x hx hy) hga hfa
(tendsto_nhdsWithin_of_tendsto_nhds (hgg' x hx).continuousAt.tendsto)
(tendsto_nhdsWithin_of_tendsto_nhds (hff' x hx).continuousAt.tendsto)
choose! c hc using this
have : ∀ x ∈ Ioo a b, ((fun x' => f' x' / g' x') ∘ c) x = f x / g x := by
intro x hx
rcases hc x hx with ⟨h₁, h₂⟩
field_simp [hg x hx, hg' (c x) ((sub x hx) h₁)]
simp only [h₂]
rw [mul_comm]
have cmp : ∀ x ∈ Ioo a b, a < c x ∧ c x < x := fun x hx => (hc x hx).1
rw [← nhdsWithin_Ioo_eq_nhdsGT hab]
apply tendsto_nhdsWithin_congr this
apply hdiv.comp
refine tendsto_nhdsWithin_of_tendsto_nhds_of_eventually_within _
(tendsto_of_tendsto_of_tendsto_of_le_of_le' tendsto_const_nhds
(tendsto_nhdsWithin_of_tendsto_nhds tendsto_id) ?_ ?_) ?_
all_goals
apply eventually_nhdsWithin_of_forall
intro x hx
have := cmp x hx
try simp
linarith [this]
theorem lhopital_zero_right_on_Ico (hab : a < b) (hff' : ∀ x ∈ Ioo a b, HasDerivAt f (f' x) x)
(hgg' : ∀ x ∈ Ioo a b, HasDerivAt g (g' x) x) (hcf : ContinuousOn f (Ico a b))
(hcg : ContinuousOn g (Ico a b)) (hg' : ∀ x ∈ Ioo a b, g' x ≠ 0) (hfa : f a = 0) (hga : g a = 0)
(hdiv : Tendsto (fun x => f' x / g' x) (𝓝[>] a) l) :
Tendsto (fun x => f x / g x) (𝓝[>] a) l := by
refine lhopital_zero_right_on_Ioo hab hff' hgg' hg' ?_ ?_ hdiv
· rw [← hfa, ← nhdsWithin_Ioo_eq_nhdsGT hab]
exact ((hcf a <| left_mem_Ico.mpr hab).mono Ioo_subset_Ico_self).tendsto
· rw [← hga, ← nhdsWithin_Ioo_eq_nhdsGT hab]
exact ((hcg a <| left_mem_Ico.mpr hab).mono Ioo_subset_Ico_self).tendsto
theorem lhopital_zero_left_on_Ioo (hab : a < b) (hff' : ∀ x ∈ Ioo a b, HasDerivAt f (f' x) x)
(hgg' : ∀ x ∈ Ioo a b, HasDerivAt g (g' x) x) (hg' : ∀ x ∈ Ioo a b, g' x ≠ 0)
(hfb : Tendsto f (𝓝[<] b) (𝓝 0)) (hgb : Tendsto g (𝓝[<] b) (𝓝 0))
(hdiv : Tendsto (fun x => f' x / g' x) (𝓝[<] b) l) :
Tendsto (fun x => f x / g x) (𝓝[<] b) l := by
-- Here, we essentially compose by `Neg.neg`. The following is mostly technical details.
have hdnf : ∀ x ∈ -Ioo a b, HasDerivAt (f ∘ Neg.neg) (f' (-x) * -1) x := fun x hx =>
comp x (hff' (-x) hx) (hasDerivAt_neg x)
have hdng : ∀ x ∈ -Ioo a b, HasDerivAt (g ∘ Neg.neg) (g' (-x) * -1) x := fun x hx =>
comp x (hgg' (-x) hx) (hasDerivAt_neg x)
rw [neg_Ioo] at hdnf
rw [neg_Ioo] at hdng
have := lhopital_zero_right_on_Ioo (neg_lt_neg hab) hdnf hdng (by
intro x hx h
apply hg' _ (by rw [← neg_Ioo] at hx; exact hx)
rwa [mul_comm, ← neg_eq_neg_one_mul, neg_eq_zero] at h)
(hfb.comp tendsto_neg_nhdsGT_neg) (hgb.comp tendsto_neg_nhdsGT_neg)
(by
simp only [neg_div_neg_eq, mul_one, mul_neg]
exact hdiv.comp tendsto_neg_nhdsGT_neg)
have := this.comp tendsto_neg_nhdsLT
unfold Function.comp at this
simpa only [neg_neg]
theorem lhopital_zero_left_on_Ioc (hab : a < b) (hff' : ∀ x ∈ Ioo a b, HasDerivAt f (f' x) x)
(hgg' : ∀ x ∈ Ioo a b, HasDerivAt g (g' x) x) (hcf : ContinuousOn f (Ioc a b))
(hcg : ContinuousOn g (Ioc a b)) (hg' : ∀ x ∈ Ioo a b, g' x ≠ 0) (hfb : f b = 0) (hgb : g b = 0)
(hdiv : Tendsto (fun x => f' x / g' x) (𝓝[<] b) l) :
Tendsto (fun x => f x / g x) (𝓝[<] b) l := by
refine lhopital_zero_left_on_Ioo hab hff' hgg' hg' ?_ ?_ hdiv
· rw [← hfb, ← nhdsWithin_Ioo_eq_nhdsLT hab]
exact ((hcf b <| right_mem_Ioc.mpr hab).mono Ioo_subset_Ioc_self).tendsto
· rw [← hgb, ← nhdsWithin_Ioo_eq_nhdsLT hab]
exact ((hcg b <| right_mem_Ioc.mpr hab).mono Ioo_subset_Ioc_self).tendsto
theorem lhopital_zero_atTop_on_Ioi (hff' : ∀ x ∈ Ioi a, HasDerivAt f (f' x) x)
(hgg' : ∀ x ∈ Ioi a, HasDerivAt g (g' x) x) (hg' : ∀ x ∈ Ioi a, g' x ≠ 0)
(hftop : Tendsto f atTop (𝓝 0)) (hgtop : Tendsto g atTop (𝓝 0))
(hdiv : Tendsto (fun x => f' x / g' x) atTop l) : Tendsto (fun x => f x / g x) atTop l := by
obtain ⟨a', haa', ha'⟩ : ∃ a', a < a' ∧ 0 < a' := ⟨1 + max a 0,
⟨lt_of_le_of_lt (le_max_left a 0) (lt_one_add _),
lt_of_le_of_lt (le_max_right a 0) (lt_one_add _)⟩⟩
have fact1 : ∀ x : ℝ, x ∈ Ioo 0 a'⁻¹ → x ≠ 0 := fun _ hx => (ne_of_lt hx.1).symm
have fact2 (x) (hx : x ∈ Ioo 0 a'⁻¹) : a < x⁻¹ := lt_trans haa' ((lt_inv_comm₀ ha' hx.1).mpr hx.2)
have hdnf : ∀ x ∈ Ioo 0 a'⁻¹, HasDerivAt (f ∘ Inv.inv) (f' x⁻¹ * -(x ^ 2)⁻¹) x := fun x hx =>
comp x (hff' x⁻¹ <| fact2 x hx) (hasDerivAt_inv <| fact1 x hx)
have hdng : ∀ x ∈ Ioo 0 a'⁻¹, HasDerivAt (g ∘ Inv.inv) (g' x⁻¹ * -(x ^ 2)⁻¹) x := fun x hx =>
comp x (hgg' x⁻¹ <| fact2 x hx) (hasDerivAt_inv <| fact1 x hx)
have := lhopital_zero_right_on_Ioo (inv_pos.mpr ha') hdnf hdng
(by
intro x hx
refine mul_ne_zero ?_ (neg_ne_zero.mpr <| inv_ne_zero <| pow_ne_zero _ <| fact1 x hx)
exact hg' _ (fact2 x hx))
(hftop.comp tendsto_inv_nhdsGT_zero) (hgtop.comp tendsto_inv_nhdsGT_zero)
(by
refine (tendsto_congr' ?_).mp (hdiv.comp tendsto_inv_nhdsGT_zero)
filter_upwards [self_mem_nhdsWithin] with x (hx : 0 < x)
simp only [Function.comp_def]
rw [mul_div_mul_right]
exact neg_ne_zero.mpr (by positivity))
have := this.comp tendsto_inv_atTop_nhdsGT_zero
unfold Function.comp at this
simpa only [inv_inv]
theorem lhopital_zero_atBot_on_Iio (hff' : ∀ x ∈ Iio a, HasDerivAt f (f' x) x)
(hgg' : ∀ x ∈ Iio a, HasDerivAt g (g' x) x) (hg' : ∀ x ∈ Iio a, g' x ≠ 0)
(hfbot : Tendsto f atBot (𝓝 0)) (hgbot : Tendsto g atBot (𝓝 0))
(hdiv : Tendsto (fun x => f' x / g' x) atBot l) : Tendsto (fun x => f x / g x) atBot l := by
-- Here, we essentially compose by `Neg.neg`. The following is mostly technical details.
have hdnf : ∀ x ∈ -Iio a, HasDerivAt (f ∘ Neg.neg) (f' (-x) * -1) x := fun x hx =>
comp x (hff' (-x) hx) (hasDerivAt_neg x)
have hdng : ∀ x ∈ -Iio a, HasDerivAt (g ∘ Neg.neg) (g' (-x) * -1) x := fun x hx =>
comp x (hgg' (-x) hx) (hasDerivAt_neg x)
rw [neg_Iio] at hdnf
rw [neg_Iio] at hdng
have := lhopital_zero_atTop_on_Ioi hdnf hdng
(by
intro x hx h
apply hg' _ (by rw [← neg_Iio] at hx; exact hx)
rwa [mul_comm, ← neg_eq_neg_one_mul, neg_eq_zero] at h)
(hfbot.comp tendsto_neg_atTop_atBot) (hgbot.comp tendsto_neg_atTop_atBot)
(by
simp only [mul_one, mul_neg, neg_div_neg_eq]
exact (hdiv.comp tendsto_neg_atTop_atBot))
have := this.comp tendsto_neg_atBot_atTop
unfold Function.comp at this
simpa only [neg_neg]
end HasDerivAt
namespace deriv
theorem lhopital_zero_right_on_Ioo (hab : a < b) (hdf : DifferentiableOn ℝ f (Ioo a b))
(hg' : ∀ x ∈ Ioo a b, deriv g x ≠ 0) (hfa : Tendsto f (𝓝[>] a) (𝓝 0))
(hga : Tendsto g (𝓝[>] a) (𝓝 0))
(hdiv : Tendsto (fun x => (deriv f) x / (deriv g) x) (𝓝[>] a) l) :
Tendsto (fun x => f x / g x) (𝓝[>] a) l := by
have hdf : ∀ x ∈ Ioo a b, DifferentiableAt ℝ f x := fun x hx =>
(hdf x hx).differentiableAt (Ioo_mem_nhds hx.1 hx.2)
have hdg : ∀ x ∈ Ioo a b, DifferentiableAt ℝ g x := fun x hx =>
by_contradiction fun h => hg' x hx (deriv_zero_of_not_differentiableAt h)
exact HasDerivAt.lhopital_zero_right_on_Ioo hab (fun x hx => (hdf x hx).hasDerivAt)
(fun x hx => (hdg x hx).hasDerivAt) hg' hfa hga hdiv
theorem lhopital_zero_right_on_Ico (hab : a < b) (hdf : DifferentiableOn ℝ f (Ioo a b))
(hcf : ContinuousOn f (Ico a b)) (hcg : ContinuousOn g (Ico a b))
(hg' : ∀ x ∈ Ioo a b, (deriv g) x ≠ 0) (hfa : f a = 0) (hga : g a = 0)
(hdiv : Tendsto (fun x => (deriv f) x / (deriv g) x) (𝓝[>] a) l) :
Tendsto (fun x => f x / g x) (𝓝[>] a) l := by
refine lhopital_zero_right_on_Ioo hab hdf hg' ?_ ?_ hdiv
· rw [← hfa, ← nhdsWithin_Ioo_eq_nhdsGT hab]
exact ((hcf a <| left_mem_Ico.mpr hab).mono Ioo_subset_Ico_self).tendsto
· rw [← hga, ← nhdsWithin_Ioo_eq_nhdsGT hab]
exact ((hcg a <| left_mem_Ico.mpr hab).mono Ioo_subset_Ico_self).tendsto
theorem lhopital_zero_left_on_Ioo (hab : a < b) (hdf : DifferentiableOn ℝ f (Ioo a b))
(hg' : ∀ x ∈ Ioo a b, (deriv g) x ≠ 0) (hfb : Tendsto f (𝓝[<] b) (𝓝 0))
(hgb : Tendsto g (𝓝[<] b) (𝓝 0))
(hdiv : Tendsto (fun x => (deriv f) x / (deriv g) x) (𝓝[<] b) l) :
Tendsto (fun x => f x / g x) (𝓝[<] b) l := by
have hdf : ∀ x ∈ Ioo a b, DifferentiableAt ℝ f x := fun x hx =>
(hdf x hx).differentiableAt (Ioo_mem_nhds hx.1 hx.2)
have hdg : ∀ x ∈ Ioo a b, DifferentiableAt ℝ g x := fun x hx =>
by_contradiction fun h => hg' x hx (deriv_zero_of_not_differentiableAt h)
exact HasDerivAt.lhopital_zero_left_on_Ioo hab (fun x hx => (hdf x hx).hasDerivAt)
(fun x hx => (hdg x hx).hasDerivAt) hg' hfb hgb hdiv
theorem lhopital_zero_atTop_on_Ioi (hdf : DifferentiableOn ℝ f (Ioi a))
(hg' : ∀ x ∈ Ioi a, (deriv g) x ≠ 0) (hftop : Tendsto f atTop (𝓝 0))
(hgtop : Tendsto g atTop (𝓝 0)) (hdiv : Tendsto (fun x => (deriv f) x / (deriv g) x) atTop l) :
Tendsto (fun x => f x / g x) atTop l := by
have hdf : ∀ x ∈ Ioi a, DifferentiableAt ℝ f x := fun x hx =>
(hdf x hx).differentiableAt (Ioi_mem_nhds hx)
have hdg : ∀ x ∈ Ioi a, DifferentiableAt ℝ g x := fun x hx =>
by_contradiction fun h => hg' x hx (deriv_zero_of_not_differentiableAt h)
exact HasDerivAt.lhopital_zero_atTop_on_Ioi (fun x hx => (hdf x hx).hasDerivAt)
(fun x hx => (hdg x hx).hasDerivAt) hg' hftop hgtop hdiv
theorem lhopital_zero_atBot_on_Iio (hdf : DifferentiableOn ℝ f (Iio a))
(hg' : ∀ x ∈ Iio a, (deriv g) x ≠ 0) (hfbot : Tendsto f atBot (𝓝 0))
(hgbot : Tendsto g atBot (𝓝 0)) (hdiv : Tendsto (fun x => (deriv f) x / (deriv g) x) atBot l) :
Tendsto (fun x => f x / g x) atBot l := by
have hdf : ∀ x ∈ Iio a, DifferentiableAt ℝ f x := fun x hx =>
(hdf x hx).differentiableAt (Iio_mem_nhds hx)
have hdg : ∀ x ∈ Iio a, DifferentiableAt ℝ g x := fun x hx =>
by_contradiction fun h => hg' x hx (deriv_zero_of_not_differentiableAt h)
exact HasDerivAt.lhopital_zero_atBot_on_Iio (fun x hx => (hdf x hx).hasDerivAt)
(fun x hx => (hdg x hx).hasDerivAt) hg' hfbot hgbot hdiv
end deriv
/-!
## Generic versions
The following statements no longer any explicit interval, as they only require
conditions holding eventually.
-/
namespace HasDerivAt
/-- L'Hôpital's rule for approaching a real from the right, `HasDerivAt` version -/
theorem lhopital_zero_nhdsGT (hff' : ∀ᶠ x in 𝓝[>] a, HasDerivAt f (f' x) x)
(hgg' : ∀ᶠ x in 𝓝[>] a, HasDerivAt g (g' x) x) (hg' : ∀ᶠ x in 𝓝[>] a, g' x ≠ 0)
(hfa : Tendsto f (𝓝[>] a) (𝓝 0)) (hga : Tendsto g (𝓝[>] a) (𝓝 0))
(hdiv : Tendsto (fun x => f' x / g' x) (𝓝[>] a) l) :
Tendsto (fun x => f x / g x) (𝓝[>] a) l := by
rw [eventually_iff_exists_mem] at *
rcases hff' with ⟨s₁, hs₁, hff'⟩
rcases hgg' with ⟨s₂, hs₂, hgg'⟩
rcases hg' with ⟨s₃, hs₃, hg'⟩
let s := s₁ ∩ s₂ ∩ s₃
have hs : s ∈ 𝓝[>] a := inter_mem (inter_mem hs₁ hs₂) hs₃
rw [mem_nhdsGT_iff_exists_Ioo_subset] at hs
rcases hs with ⟨u, hau, hu⟩
refine lhopital_zero_right_on_Ioo hau ?_ ?_ ?_ hfa hga hdiv <;>
intro x hx <;> apply_assumption <;>
first | exact (hu hx).1.1 | exact (hu hx).1.2 | exact (hu hx).2
@[deprecated (since := "2025-03-02")]
alias lhopital_zero_nhds_right := lhopital_zero_nhdsGT
/-- L'Hôpital's rule for approaching a real from the left, `HasDerivAt` version -/
theorem lhopital_zero_nhdsLT (hff' : ∀ᶠ x in 𝓝[<] a, HasDerivAt f (f' x) x)
(hgg' : ∀ᶠ x in 𝓝[<] a, HasDerivAt g (g' x) x) (hg' : ∀ᶠ x in 𝓝[<] a, g' x ≠ 0)
(hfa : Tendsto f (𝓝[<] a) (𝓝 0)) (hga : Tendsto g (𝓝[<] a) (𝓝 0))
(hdiv : Tendsto (fun x => f' x / g' x) (𝓝[<] a) l) :
Tendsto (fun x => f x / g x) (𝓝[<] a) l := by
rw [eventually_iff_exists_mem] at *
rcases hff' with ⟨s₁, hs₁, hff'⟩
rcases hgg' with ⟨s₂, hs₂, hgg'⟩
rcases hg' with ⟨s₃, hs₃, hg'⟩
let s := s₁ ∩ s₂ ∩ s₃
have hs : s ∈ 𝓝[<] a := inter_mem (inter_mem hs₁ hs₂) hs₃
rw [mem_nhdsLT_iff_exists_Ioo_subset] at hs
rcases hs with ⟨l, hal, hl⟩
refine lhopital_zero_left_on_Ioo hal ?_ ?_ ?_ hfa hga hdiv <;> intro x hx <;> apply_assumption <;>
first | exact (hl hx).1.1| exact (hl hx).1.2| exact (hl hx).2
@[deprecated (since := "2025-03-02")]
alias lhopital_zero_nhds_left := lhopital_zero_nhdsLT
/-- L'Hôpital's rule for approaching a real, `HasDerivAt` version. This
does not require anything about the situation at `a` -/
theorem lhopital_zero_nhdsNE (hff' : ∀ᶠ x in 𝓝[≠] a, HasDerivAt f (f' x) x)
(hgg' : ∀ᶠ x in 𝓝[≠] a, HasDerivAt g (g' x) x) (hg' : ∀ᶠ x in 𝓝[≠] a, g' x ≠ 0)
(hfa : Tendsto f (𝓝[≠] a) (𝓝 0)) (hga : Tendsto g (𝓝[≠] a) (𝓝 0))
(hdiv : Tendsto (fun x => f' x / g' x) (𝓝[≠] a) l) :
Tendsto (fun x => f x / g x) (𝓝[≠] a) l := by
simp only [← Iio_union_Ioi, nhdsWithin_union, tendsto_sup, eventually_sup] at *
exact ⟨lhopital_zero_nhdsLT hff'.1 hgg'.1 hg'.1 hfa.1 hga.1 hdiv.1,
lhopital_zero_nhdsGT hff'.2 hgg'.2 hg'.2 hfa.2 hga.2 hdiv.2⟩
@[deprecated (since := "2025-03-02")]
alias lhopital_zero_nhds' := lhopital_zero_nhdsNE
/-- **L'Hôpital's rule** for approaching a real, `HasDerivAt` version -/
theorem lhopital_zero_nhds (hff' : ∀ᶠ x in 𝓝 a, HasDerivAt f (f' x) x)
(hgg' : ∀ᶠ x in 𝓝 a, HasDerivAt g (g' x) x) (hg' : ∀ᶠ x in 𝓝 a, g' x ≠ 0)
(hfa : Tendsto f (𝓝 a) (𝓝 0)) (hga : Tendsto g (𝓝 a) (𝓝 0))
(hdiv : Tendsto (fun x => f' x / g' x) (𝓝 a) l) : Tendsto (fun x => f x / g x) (𝓝[≠] a) l := by
apply @lhopital_zero_nhdsNE _ _ _ f' _ g' <;>
(first | apply eventually_nhdsWithin_of_eventually_nhds |
apply tendsto_nhdsWithin_of_tendsto_nhds) <;> assumption
/-- L'Hôpital's rule for approaching +∞, `HasDerivAt` version -/
theorem lhopital_zero_atTop (hff' : ∀ᶠ x in atTop, HasDerivAt f (f' x) x)
(hgg' : ∀ᶠ x in atTop, HasDerivAt g (g' x) x) (hg' : ∀ᶠ x in atTop, g' x ≠ 0)
(hftop : Tendsto f atTop (𝓝 0)) (hgtop : Tendsto g atTop (𝓝 0))
(hdiv : Tendsto (fun x => f' x / g' x) atTop l) : Tendsto (fun x => f x / g x) atTop l := by
rw [eventually_iff_exists_mem] at *
rcases hff' with ⟨s₁, hs₁, hff'⟩
rcases hgg' with ⟨s₂, hs₂, hgg'⟩
rcases hg' with ⟨s₃, hs₃, hg'⟩
let s := s₁ ∩ s₂ ∩ s₃
have hs : s ∈ atTop := inter_mem (inter_mem hs₁ hs₂) hs₃
rw [mem_atTop_sets] at hs
rcases hs with ⟨l, hl⟩
have hl' : Ioi l ⊆ s := fun x hx => hl x (le_of_lt hx)
refine lhopital_zero_atTop_on_Ioi ?_ ?_ (fun x hx => hg' x <| (hl' hx).2) hftop hgtop hdiv <;>
intro x hx <;> apply_assumption <;> first | exact (hl' hx).1.1| exact (hl' hx).1.2
/-- L'Hôpital's rule for approaching -∞, `HasDerivAt` version -/
theorem lhopital_zero_atBot (hff' : ∀ᶠ x in atBot, HasDerivAt f (f' x) x)
(hgg' : ∀ᶠ x in atBot, HasDerivAt g (g' x) x) (hg' : ∀ᶠ x in atBot, g' x ≠ 0)
(hfbot : Tendsto f atBot (𝓝 0)) (hgbot : Tendsto g atBot (𝓝 0))
(hdiv : Tendsto (fun x => f' x / g' x) atBot l) : Tendsto (fun x => f x / g x) atBot l := by
rw [eventually_iff_exists_mem] at *
rcases hff' with ⟨s₁, hs₁, hff'⟩
rcases hgg' with ⟨s₂, hs₂, hgg'⟩
rcases hg' with ⟨s₃, hs₃, hg'⟩
let s := s₁ ∩ s₂ ∩ s₃
have hs : s ∈ atBot := inter_mem (inter_mem hs₁ hs₂) hs₃
rw [mem_atBot_sets] at hs
rcases hs with ⟨l, hl⟩
have hl' : Iio l ⊆ s := fun x hx => hl x (le_of_lt hx)
refine lhopital_zero_atBot_on_Iio ?_ ?_ (fun x hx => hg' x <| (hl' hx).2) hfbot hgbot hdiv <;>
intro x hx <;> apply_assumption <;> first | exact (hl' hx).1.1| exact (hl' hx).1.2
end HasDerivAt
namespace deriv
/-- **L'Hôpital's rule** for approaching a real from the right, `deriv` version -/
theorem lhopital_zero_nhdsGT (hdf : ∀ᶠ x in 𝓝[>] a, DifferentiableAt ℝ f x)
(hg' : ∀ᶠ x in 𝓝[>] a, deriv g x ≠ 0) (hfa : Tendsto f (𝓝[>] a) (𝓝 0))
(hga : Tendsto g (𝓝[>] a) (𝓝 0))
(hdiv : Tendsto (fun x => (deriv f) x / (deriv g) x) (𝓝[>] a) l) :
Tendsto (fun x => f x / g x) (𝓝[>] a) l := by
have hdg : ∀ᶠ x in 𝓝[>] a, DifferentiableAt ℝ g x :=
hg'.mono fun _ hg' => by_contradiction fun h => hg' (deriv_zero_of_not_differentiableAt h)
have hdf' : ∀ᶠ x in 𝓝[>] a, HasDerivAt f (deriv f x) x :=
hdf.mono fun _ => DifferentiableAt.hasDerivAt
have hdg' : ∀ᶠ x in 𝓝[>] a, HasDerivAt g (deriv g x) x :=
hdg.mono fun _ => DifferentiableAt.hasDerivAt
exact HasDerivAt.lhopital_zero_nhdsGT hdf' hdg' hg' hfa hga hdiv
@[deprecated (since := "2025-03-02")]
alias lhopital_zero_nhds_right := lhopital_zero_nhdsGT
/-- **L'Hôpital's rule** for approaching a real from the left, `deriv` version -/
theorem lhopital_zero_nhdsLT (hdf : ∀ᶠ x in 𝓝[<] a, DifferentiableAt ℝ f x)
(hg' : ∀ᶠ x in 𝓝[<] a, deriv g x ≠ 0) (hfa : Tendsto f (𝓝[<] a) (𝓝 0))
(hga : Tendsto g (𝓝[<] a) (𝓝 0))
(hdiv : Tendsto (fun x => (deriv f) x / (deriv g) x) (𝓝[<] a) l) :
Tendsto (fun x => f x / g x) (𝓝[<] a) l := by
have hdg : ∀ᶠ x in 𝓝[<] a, DifferentiableAt ℝ g x :=
hg'.mono fun _ hg' => by_contradiction fun h => hg' (deriv_zero_of_not_differentiableAt h)
have hdf' : ∀ᶠ x in 𝓝[<] a, HasDerivAt f (deriv f x) x :=
hdf.mono fun _ => DifferentiableAt.hasDerivAt
have hdg' : ∀ᶠ x in 𝓝[<] a, HasDerivAt g (deriv g x) x :=
hdg.mono fun _ => DifferentiableAt.hasDerivAt
exact HasDerivAt.lhopital_zero_nhdsLT hdf' hdg' hg' hfa hga hdiv
@[deprecated (since := "2025-03-02")]
alias lhopital_zero_nhds_left := lhopital_zero_nhdsLT
/-- **L'Hôpital's rule** for approaching a real, `deriv` version. This
does not require anything about the situation at `a` -/
theorem lhopital_zero_nhdsNE (hdf : ∀ᶠ x in 𝓝[≠] a, DifferentiableAt ℝ f x)
(hg' : ∀ᶠ x in 𝓝[≠] a, deriv g x ≠ 0) (hfa : Tendsto f (𝓝[≠] a) (𝓝 0))
(hga : Tendsto g (𝓝[≠] a) (𝓝 0))
(hdiv : Tendsto (fun x => (deriv f) x / (deriv g) x) (𝓝[≠] a) l) :
Tendsto (fun x => f x / g x) (𝓝[≠] a) l := by
simp only [← Iio_union_Ioi, nhdsWithin_union, tendsto_sup, eventually_sup] at *
exact ⟨lhopital_zero_nhdsLT hdf.1 hg'.1 hfa.1 hga.1 hdiv.1,
lhopital_zero_nhdsGT hdf.2 hg'.2 hfa.2 hga.2 hdiv.2⟩
@[deprecated (since := "2025-03-02")]
alias lhopital_zero_nhds' := lhopital_zero_nhdsNE
/-- **L'Hôpital's rule** for approaching a real, `deriv` version -/
theorem lhopital_zero_nhds (hdf : ∀ᶠ x in 𝓝 a, DifferentiableAt ℝ f x)
(hg' : ∀ᶠ x in 𝓝 a, deriv g x ≠ 0) (hfa : Tendsto f (𝓝 a) (𝓝 0)) (hga : Tendsto g (𝓝 a) (𝓝 0))
(hdiv : Tendsto (fun x => (deriv f) x / (deriv g) x) (𝓝 a) l) :
Tendsto (fun x => f x / g x) (𝓝[≠] a) l := by
apply lhopital_zero_nhdsNE <;>
(first | apply eventually_nhdsWithin_of_eventually_nhds |
apply tendsto_nhdsWithin_of_tendsto_nhds) <;> assumption
/-- **L'Hôpital's rule** for approaching +∞, `deriv` version -/
theorem lhopital_zero_atTop (hdf : ∀ᶠ x : ℝ in atTop, DifferentiableAt ℝ f x)
| (hg' : ∀ᶠ x : ℝ in atTop, deriv g x ≠ 0) (hftop : Tendsto f atTop (𝓝 0))
(hgtop : Tendsto g atTop (𝓝 0)) (hdiv : Tendsto (fun x => (deriv f) x / (deriv g) x) atTop l) :
Tendsto (fun x => f x / g x) atTop l := by
have hdg : ∀ᶠ x in atTop, DifferentiableAt ℝ g x := hg'.mp
(Eventually.of_forall fun _ hg' =>
by_contradiction fun h => hg' (deriv_zero_of_not_differentiableAt h))
have hdf' : ∀ᶠ x in atTop, HasDerivAt f (deriv f x) x :=
| Mathlib/Analysis/Calculus/LHopital.lean | 424 | 430 |
/-
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 :=
match nilpotencyLength L M with
| 0 => ⊥
| k + 1 => lowerCentralSeries R L M k
theorem lowerCentralSeriesLast_le_max_triv [LieModule R L M] :
lowerCentralSeriesLast R L M ≤ maxTrivSubmodule R L M := by
rw [lowerCentralSeriesLast]
rcases h : nilpotencyLength L M with - | k
· exact bot_le
· rw [le_max_triv_iff_bracket_eq_bot]
rw [nilpotencyLength_eq_succ_iff R, lowerCentralSeries_succ] at h
exact h.1
theorem nontrivial_lowerCentralSeriesLast [LieModule R L M] [Nontrivial M] [IsNilpotent L M] :
Nontrivial (lowerCentralSeriesLast R L M) := by
rw [LieSubmodule.nontrivial_iff_ne_bot, lowerCentralSeriesLast]
cases h : nilpotencyLength L M
· rw [nilpotencyLength_eq_zero_iff, ← not_nontrivial_iff_subsingleton] at h
contradiction
· rw [nilpotencyLength_eq_succ_iff R] at h
exact h.2
theorem lowerCentralSeriesLast_le_of_not_isTrivial [IsNilpotent L M] (h : ¬ IsTrivial L M) :
lowerCentralSeriesLast R L M ≤ lowerCentralSeries R L M 1 := by
rw [lowerCentralSeriesLast]
replace h : 1 < nilpotencyLength L M := by
by_contra contra
have := isTrivial_of_nilpotencyLength_le_one L M (not_lt.mp contra)
contradiction
rcases hk : nilpotencyLength L M with - | k <;> rw [hk] at h
· contradiction
· exact antitone_lowerCentralSeries _ _ _ (Nat.lt_succ.mp h)
variable [LieModule R L M]
/-- For a nilpotent Lie module `M` of a Lie algebra `L`, the first term in the lower central series
of `M` contains a non-zero element on which `L` acts trivially unless the entire action is trivial.
Taking `M = L`, this provides a useful characterisation of Abelian-ness for nilpotent Lie
algebras. -/
lemma disjoint_lowerCentralSeries_maxTrivSubmodule_iff [IsNilpotent L M] :
Disjoint (lowerCentralSeries R L M 1) (maxTrivSubmodule R L M) ↔ IsTrivial L M := by
refine ⟨fun h ↦ ?_, fun h ↦ by simp⟩
nontriviality M
by_contra contra
have : lowerCentralSeriesLast R L M ≤ lowerCentralSeries R L M 1 ⊓ maxTrivSubmodule R L M :=
le_inf_iff.mpr ⟨lowerCentralSeriesLast_le_of_not_isTrivial R L M contra,
lowerCentralSeriesLast_le_max_triv R L M⟩
suffices ¬ Nontrivial (lowerCentralSeriesLast R L M) by
exact this (nontrivial_lowerCentralSeriesLast R L M)
rw [h.eq_bot, le_bot_iff] at this
exact this ▸ not_nontrivial _
theorem nontrivial_max_triv_of_isNilpotent [Nontrivial M] [IsNilpotent L M] :
Nontrivial (maxTrivSubmodule R L M) :=
Set.nontrivial_mono (lowerCentralSeriesLast_le_max_triv R L M)
(nontrivial_lowerCentralSeriesLast R L M)
@[simp]
theorem coe_lcs_range_toEnd_eq (k : ℕ) :
(lowerCentralSeries R (toEnd R L M).range M k : Submodule R M) =
lowerCentralSeries R L M k := by
induction k with
| zero => simp
| succ k ih =>
simp only [lowerCentralSeries_succ, LieSubmodule.lieIdeal_oper_eq_linear_span', ←
(lowerCentralSeries R (toEnd R L M).range M k).mem_toSubmodule, ih]
congr
ext m
constructor
· rintro ⟨⟨-, ⟨y, rfl⟩⟩, -, n, hn, rfl⟩
exact ⟨y, LieSubmodule.mem_top _, n, hn, rfl⟩
· rintro ⟨x, -, n, hn, rfl⟩
exact
⟨⟨toEnd R L M x, LieHom.mem_range_self _ x⟩, LieSubmodule.mem_top _, n, hn, rfl⟩
@[simp]
theorem isNilpotent_range_toEnd_iff :
IsNilpotent (toEnd R L M).range M ↔ IsNilpotent L M := by
simp only [isNilpotent_iff R _ M]
constructor <;> rintro ⟨k, hk⟩ <;> use k <;>
rw [← LieSubmodule.toSubmodule_inj] at hk ⊢ <;>
simpa using hk
end LieModule
|
namespace LieSubmodule
| Mathlib/Algebra/Lie/Nilpotent.lean | 531 | 533 |
/-
Copyright (c) 2022 Aaron Anderson. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Aaron Anderson
-/
import Mathlib.ModelTheory.Satisfiability
/-!
# Type Spaces
This file defines the space of complete types over a first-order theory.
(Note that types in model theory are different from types in type theory.)
## Main Definitions
- `FirstOrder.Language.Theory.CompleteType`:
`T.CompleteType α` consists of complete types over the theory `T` with variables `α`.
- `FirstOrder.Language.Theory.typeOf` is the type of a given tuple.
- `FirstOrder.Language.Theory.realizedTypes`: `T.realizedTypes M α` is the set of
types in `T.CompleteType α` that are realized in `M` - that is, the type of some tuple in `M`.
## Main Results
- `FirstOrder.Language.Theory.CompleteType.nonempty_iff`:
The space `T.CompleteType α` is nonempty exactly when `T` is satisfiable.
- `FirstOrder.Language.Theory.CompleteType.exists_modelType_is_realized_in`: Every type is realized
in some model.
## Implementation Notes
- Complete types are implemented as maximal consistent theories in an expanded language.
More frequently they are described as maximal consistent sets of formulas, but this is equivalent.
## TODO
- Connect `T.CompleteType α` to sets of formulas `L.Formula α`.
-/
universe u v w w'
open Cardinal Set FirstOrder
namespace FirstOrder
namespace Language
namespace Theory
variable {L : Language.{u, v}} (T : L.Theory) (α : Type w)
/-- A complete type over a given theory in a certain type of variables is a maximally
consistent (with the theory) set of formulas in that type. -/
structure CompleteType where
/-- The underlying theory -/
toTheory : L[[α]].Theory
subset' : (L.lhomWithConstants α).onTheory T ⊆ toTheory
isMaximal' : toTheory.IsMaximal
variable {T α}
namespace CompleteType
attribute [coe] CompleteType.toTheory
instance Sentence.instSetLike : SetLike (T.CompleteType α) (L[[α]].Sentence) :=
⟨fun p => p.toTheory, fun p q h => by
cases p
cases q
congr ⟩
theorem isMaximal (p : T.CompleteType α) : IsMaximal (p : L[[α]].Theory) :=
p.isMaximal'
theorem subset (p : T.CompleteType α) : (L.lhomWithConstants α).onTheory T ⊆ (p : L[[α]].Theory) :=
p.subset'
theorem mem_or_not_mem (p : T.CompleteType α) (φ : L[[α]].Sentence) : φ ∈ p ∨ φ.not ∈ p :=
p.isMaximal.mem_or_not_mem φ
theorem mem_of_models (p : T.CompleteType α) {φ : L[[α]].Sentence}
(h : (L.lhomWithConstants α).onTheory T ⊨ᵇ φ) : φ ∈ p :=
(p.mem_or_not_mem φ).resolve_right fun con =>
((models_iff_not_satisfiable _).1 h)
(p.isMaximal.1.mono (union_subset p.subset (singleton_subset_iff.2 con)))
theorem not_mem_iff (p : T.CompleteType α) (φ : L[[α]].Sentence) : φ.not ∈ p ↔ ¬φ ∈ p :=
⟨fun hf ht => by
have h : ¬IsSatisfiable ({φ, φ.not} : L[[α]].Theory) := by
rintro ⟨@⟨_, _, h, _⟩⟩
simp only [model_iff, mem_insert_iff, mem_singleton_iff, forall_eq_or_imp, forall_eq] at h
exact h.2 h.1
refine h (p.isMaximal.1.mono ?_)
rw [insert_subset_iff, singleton_subset_iff]
exact ⟨ht, hf⟩, (p.mem_or_not_mem φ).resolve_left⟩
@[simp]
theorem compl_setOf_mem {φ : L[[α]].Sentence} :
{ p : T.CompleteType α | φ ∈ p }ᶜ = { p : T.CompleteType α | φ.not ∈ p } :=
ext fun _ => (not_mem_iff _ _).symm
theorem setOf_subset_eq_empty_iff (S : L[[α]].Theory) :
{ p : T.CompleteType α | S ⊆ ↑p } = ∅ ↔
¬((L.lhomWithConstants α).onTheory T ∪ S).IsSatisfiable := by
rw [iff_not_comm, ← not_nonempty_iff_eq_empty, Classical.not_not, Set.Nonempty]
refine
⟨fun h =>
⟨⟨L[[α]].completeTheory h.some, (subset_union_left (t := S)).trans completeTheory.subset,
completeTheory.isMaximal (L[[α]]) h.some⟩,
(((L.lhomWithConstants α).onTheory T).subset_union_right).trans completeTheory.subset⟩,
?_⟩
rintro ⟨p, hp⟩
exact p.isMaximal.1.mono (union_subset p.subset hp)
theorem setOf_mem_eq_univ_iff (φ : L[[α]].Sentence) :
{ p : T.CompleteType α | φ ∈ p } = Set.univ ↔ (L.lhomWithConstants α).onTheory T ⊨ᵇ φ := by
rw [models_iff_not_satisfiable, ← compl_empty_iff, compl_setOf_mem, ← setOf_subset_eq_empty_iff]
simp
theorem setOf_subset_eq_univ_iff (S : L[[α]].Theory) :
{ p : T.CompleteType α | S ⊆ ↑p } = Set.univ ↔
∀ φ, φ ∈ S → (L.lhomWithConstants α).onTheory T ⊨ᵇ φ := by
have h : { p : T.CompleteType α | S ⊆ ↑p } = ⋂₀ ((fun φ => { p | φ ∈ p }) '' S) := by
ext
simp [subset_def]
simp_rw [h, sInter_eq_univ, ← setOf_mem_eq_univ_iff]
refine ⟨fun h φ φS => h _ ⟨_, φS, rfl⟩, ?_⟩
rintro h _ ⟨φ, h1, rfl⟩
exact h _ h1
theorem nonempty_iff : Nonempty (T.CompleteType α) ↔ T.IsSatisfiable := by
rw [← isSatisfiable_onTheory_iff (lhomWithConstants_injective L α)]
rw [nonempty_iff_univ_nonempty, nonempty_iff_ne_empty, Ne, not_iff_comm,
← union_empty ((L.lhomWithConstants α).onTheory T), ← setOf_subset_eq_empty_iff]
simp
instance instNonempty : Nonempty (CompleteType (∅ : L.Theory) α) :=
nonempty_iff.2 (isSatisfiable_empty L)
theorem iInter_setOf_subset {ι : Type*} (S : ι → L[[α]].Theory) :
⋂ i : ι, { p : T.CompleteType α | S i ⊆ p } =
{ p : T.CompleteType α | ⋃ i : ι, S i ⊆ p } := by
ext
simp only [mem_iInter, mem_setOf_eq, iUnion_subset_iff]
theorem toList_foldr_inf_mem {p : T.CompleteType α} {t : Finset (L[[α]]).Sentence} :
t.toList.foldr (· ⊓ ·) ⊤ ∈ p ↔ (t : L[[α]].Theory) ⊆ ↑p := by
simp_rw [subset_def, ← SetLike.mem_coe, p.isMaximal.mem_iff_models, models_sentence_iff,
Sentence.Realize, Formula.Realize, BoundedFormula.realize_foldr_inf, Finset.mem_toList]
exact ⟨fun h φ hφ M => h _ _ hφ, fun h M φ hφ => h _ hφ _⟩
end CompleteType
variable {M : Type w'} [L.Structure M] [Nonempty M] [M ⊨ T] (T)
/-- The set of all formulas true at a tuple in a structure forms a complete type. -/
| def typeOf (v : α → M) : T.CompleteType α :=
haveI : (constantsOn α).Structure M := constantsOn.structure v
{ toTheory := L[[α]].completeTheory M
subset' := model_iff_subset_completeTheory.1 ((LHom.onTheory_model _ T).2 inferInstance)
isMaximal' := completeTheory.isMaximal _ _ }
| Mathlib/ModelTheory/Types.lean | 158 | 162 |
/-
Copyright (c) 2022 Yaël Dillies. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yaël Dillies
-/
import Mathlib.Order.Filter.Prod
/-!
# N-ary maps of filter
This file defines the binary and ternary maps of filters. This is mostly useful to define pointwise
operations on filters.
## Main declarations
* `Filter.map₂`: Binary map of filters.
## Notes
This file is very similar to `Data.Set.NAry`, `Data.Finset.NAry` and `Data.Option.NAry`. Please
keep them in sync.
-/
open Function Set
open Filter
namespace Filter
variable {α α' β β' γ γ' δ δ' ε ε' : Type*} {m : α → β → γ} {f f₁ f₂ : Filter α}
{g g₁ g₂ : Filter β} {h : Filter γ} {s : Set α} {t : Set β} {u : Set γ}
{a : α} {b : β}
/-- The image of a binary function `m : α → β → γ` as a function `Filter α → Filter β → Filter γ`.
Mathematically this should be thought of as the image of the corresponding function `α × β → γ`. -/
def map₂ (m : α → β → γ) (f : Filter α) (g : Filter β) : Filter γ :=
((f ×ˢ g).map (uncurry m)).copy { s | ∃ u ∈ f, ∃ v ∈ g, image2 m u v ⊆ s } fun _ ↦ by
simp only [mem_map, mem_prod_iff, image2_subset_iff, prod_subset_iff]; rfl
@[simp 900]
theorem mem_map₂_iff : u ∈ map₂ m f g ↔ ∃ s ∈ f, ∃ t ∈ g, image2 m s t ⊆ u :=
Iff.rfl
theorem image2_mem_map₂ (hs : s ∈ f) (ht : t ∈ g) : image2 m s t ∈ map₂ m f g :=
⟨_, hs, _, ht, Subset.rfl⟩
theorem map_prod_eq_map₂ (m : α → β → γ) (f : Filter α) (g : Filter β) :
Filter.map (fun p : α × β => m p.1 p.2) (f ×ˢ g) = map₂ m f g := by
rw [map₂, copy_eq, uncurry_def]
theorem map_prod_eq_map₂' (m : α × β → γ) (f : Filter α) (g : Filter β) :
Filter.map m (f ×ˢ g) = map₂ (fun a b => m (a, b)) f g :=
map_prod_eq_map₂ m.curry f g
@[simp]
theorem map₂_mk_eq_prod (f : Filter α) (g : Filter β) : map₂ Prod.mk f g = f ×ˢ g := by
simp only [← map_prod_eq_map₂, map_id']
-- lemma image2_mem_map₂_iff (hm : injective2 m) : image2 m s t ∈ map₂ m f g ↔ s ∈ f ∧ t ∈ g :=
-- ⟨by { rintro ⟨u, v, hu, hv, h⟩, rw image2_subset_image2_iff hm at h,
-- exact ⟨mem_of_superset hu h.1, mem_of_superset hv h.2⟩ }, fun h ↦ image2_mem_map₂ h.1 h.2⟩
@[gcongr]
theorem map₂_mono (hf : f₁ ≤ f₂) (hg : g₁ ≤ g₂) : map₂ m f₁ g₁ ≤ map₂ m f₂ g₂ :=
fun _ ⟨s, hs, t, ht, hst⟩ => ⟨s, hf hs, t, hg ht, hst⟩
@[gcongr]
theorem map₂_mono_left (h : g₁ ≤ g₂) : map₂ m f g₁ ≤ map₂ m f g₂ :=
map₂_mono Subset.rfl h
@[gcongr]
theorem map₂_mono_right (h : f₁ ≤ f₂) : map₂ m f₁ g ≤ map₂ m f₂ g :=
map₂_mono h Subset.rfl
@[simp]
theorem le_map₂_iff {h : Filter γ} :
h ≤ map₂ m f g ↔ ∀ ⦃s⦄, s ∈ f → ∀ ⦃t⦄, t ∈ g → image2 m s t ∈ h :=
⟨fun H _ hs _ ht => H <| image2_mem_map₂ hs ht, fun H _ ⟨_, hs, _, ht, hu⟩ =>
mem_of_superset (H hs ht) hu⟩
@[simp]
theorem map₂_eq_bot_iff : map₂ m f g = ⊥ ↔ f = ⊥ ∨ g = ⊥ := by simp [← map_prod_eq_map₂]
@[simp]
theorem map₂_bot_left : map₂ m ⊥ g = ⊥ := map₂_eq_bot_iff.2 <| .inl rfl
@[simp]
theorem map₂_bot_right : map₂ m f ⊥ = ⊥ := map₂_eq_bot_iff.2 <| .inr rfl
@[simp]
theorem map₂_neBot_iff : (map₂ m f g).NeBot ↔ f.NeBot ∧ g.NeBot := by simp [neBot_iff, not_or]
protected theorem NeBot.map₂ (hf : f.NeBot) (hg : g.NeBot) : (map₂ m f g).NeBot :=
map₂_neBot_iff.2 ⟨hf, hg⟩
instance map₂.neBot [NeBot f] [NeBot g] : NeBot (map₂ m f g) := .map₂ ‹_› ‹_›
theorem NeBot.of_map₂_left (h : (map₂ m f g).NeBot) : f.NeBot :=
(map₂_neBot_iff.1 h).1
theorem NeBot.of_map₂_right (h : (map₂ m f g).NeBot) : g.NeBot :=
(map₂_neBot_iff.1 h).2
theorem map₂_sup_left : map₂ m (f₁ ⊔ f₂) g = map₂ m f₁ g ⊔ map₂ m f₂ g := by
simp_rw [← map_prod_eq_map₂, sup_prod, map_sup]
theorem map₂_sup_right : map₂ m f (g₁ ⊔ g₂) = map₂ m f g₁ ⊔ map₂ m f g₂ := by
simp_rw [← map_prod_eq_map₂, prod_sup, map_sup]
theorem map₂_inf_subset_left : map₂ m (f₁ ⊓ f₂) g ≤ map₂ m f₁ g ⊓ map₂ m f₂ g :=
Monotone.map_inf_le (fun _ _ ↦ map₂_mono_right) f₁ f₂
theorem map₂_inf_subset_right : map₂ m f (g₁ ⊓ g₂) ≤ map₂ m f g₁ ⊓ map₂ m f g₂ :=
Monotone.map_inf_le (fun _ _ ↦ map₂_mono_left) g₁ g₂
@[simp]
theorem map₂_pure_left : map₂ m (pure a) g = g.map (m a) := by
rw [← map_prod_eq_map₂, pure_prod, map_map]; rfl
@[simp]
theorem map₂_pure_right : map₂ m f (pure b) = f.map (m · b) := by
rw [← map_prod_eq_map₂, prod_pure, map_map]; rfl
theorem map₂_pure : map₂ m (pure a) (pure b) = pure (m a b) := by rw [map₂_pure_right, map_pure]
theorem map₂_swap (m : α → β → γ) (f : Filter α) (g : Filter β) :
map₂ m f g = map₂ (fun a b => m b a) g f := by
rw [← map_prod_eq_map₂, prod_comm, map_map, ← map_prod_eq_map₂, Function.comp_def]
@[simp]
theorem map₂_left [NeBot g] : map₂ (fun x _ => x) f g = f := by
rw [← map_prod_eq_map₂, map_fst_prod]
@[simp]
theorem map₂_right [NeBot f] : map₂ (fun _ y => y) f g = g := by rw [map₂_swap, map₂_left]
theorem map_map₂ (m : α → β → γ) (n : γ → δ) :
(map₂ m f g).map n = map₂ (fun a b => n (m a b)) f g := by
rw [← map_prod_eq_map₂, ← map_prod_eq_map₂, map_map]; rfl
theorem map₂_map_left (m : γ → β → δ) (n : α → γ) :
map₂ m (f.map n) g = map₂ (fun a b => m (n a) b) f g := by
rw [← map_prod_eq_map₂, ← map_prod_eq_map₂, ← @map_id _ g, prod_map_map_eq, map_map, map_id]; rfl
theorem map₂_map_right (m : α → γ → δ) (n : β → γ) :
map₂ m f (g.map n) = map₂ (fun a b => m a (n b)) f g := by
rw [map₂_swap, map₂_map_left, map₂_swap]
@[simp]
theorem map₂_curry (m : α × β → γ) (f : Filter α) (g : Filter β) :
map₂ m.curry f g = (f ×ˢ g).map m :=
(map_prod_eq_map₂' _ _ _).symm
@[simp]
theorem map_uncurry_prod (m : α → β → γ) (f : Filter α) (g : Filter β) :
(f ×ˢ g).map (uncurry m) = map₂ m f g :=
(map₂_curry (uncurry m) f g).symm
/-!
### Algebraic replacement rules
A collection of lemmas to transfer associativity, commutativity, distributivity, ... of operations
to the associativity, commutativity, distributivity, ... of `Filter.map₂` of those operations.
The proof pattern is `map₂_lemma operation_lemma`. For example, `map₂_comm mul_comm` proves that
`map₂ (*) f g = map₂ (*) g f` in a `CommSemigroup`.
-/
theorem map₂_assoc {m : δ → γ → ε} {n : α → β → δ} {m' : α → ε' → ε} {n' : β → γ → ε'}
{h : Filter γ} (h_assoc : ∀ a b c, m (n a b) c = m' a (n' b c)) :
map₂ m (map₂ n f g) h = map₂ m' f (map₂ n' g h) := by
rw [← map_prod_eq_map₂ n, ← map_prod_eq_map₂ n', map₂_map_left, map₂_map_right,
← map_prod_eq_map₂, ← map_prod_eq_map₂, ← prod_assoc, map_map]
simp only [h_assoc, Function.comp_def, Equiv.prodAssoc_apply]
theorem map₂_comm {n : β → α → γ} (h_comm : ∀ a b, m a b = n b a) : map₂ m f g = map₂ n g f :=
(map₂_swap _ _ _).trans <| by simp_rw [h_comm]
theorem map₂_left_comm {m : α → δ → ε} {n : β → γ → δ} {m' : α → γ → δ'} {n' : β → δ' → ε}
(h_left_comm : ∀ a b c, m a (n b c) = n' b (m' a c)) :
map₂ m f (map₂ n g h) = map₂ n' g (map₂ m' f h) := by
rw [map₂_swap m', map₂_swap m]
exact map₂_assoc fun _ _ _ => h_left_comm _ _ _
theorem map₂_right_comm {m : δ → γ → ε} {n : α → β → δ} {m' : α → γ → δ'} {n' : δ' → β → ε}
(h_right_comm : ∀ a b c, m (n a b) c = n' (m' a c) b) :
map₂ m (map₂ n f g) h = map₂ n' (map₂ m' f h) g := by
rw [map₂_swap n, map₂_swap n']
exact map₂_assoc fun _ _ _ => h_right_comm _ _ _
theorem map_map₂_distrib {n : γ → δ} {m' : α' → β' → δ} {n₁ : α → α'} {n₂ : β → β'}
(h_distrib : ∀ a b, n (m a b) = m' (n₁ a) (n₂ b)) :
(map₂ m f g).map n = map₂ m' (f.map n₁) (g.map n₂) := by
simp_rw [map_map₂, map₂_map_left, map₂_map_right, h_distrib]
/-- Symmetric statement to `Filter.map₂_map_left_comm`. -/
theorem map_map₂_distrib_left {n : γ → δ} {m' : α' → β → δ} {n' : α → α'}
(h_distrib : ∀ a b, n (m a b) = m' (n' a) b) : (map₂ m f g).map n = map₂ m' (f.map n') g :=
map_map₂_distrib h_distrib
/-- Symmetric statement to `Filter.map_map₂_right_comm`. -/
theorem map_map₂_distrib_right {n : γ → δ} {m' : α → β' → δ} {n' : β → β'}
(h_distrib : ∀ a b, n (m a b) = m' a (n' b)) : (map₂ m f g).map n = map₂ m' f (g.map n') :=
| map_map₂_distrib h_distrib
/-- Symmetric statement to `Filter.map_map₂_distrib_left`. -/
theorem map₂_map_left_comm {m : α' → β → γ} {n : α → α'} {m' : α → β → δ} {n' : δ → γ}
(h_left_comm : ∀ a b, m (n a) b = n' (m' a b)) : map₂ m (f.map n) g = (map₂ m' f g).map n' :=
(map_map₂_distrib_left fun a b => (h_left_comm a b).symm).symm
| Mathlib/Order/Filter/NAry.lean | 204 | 209 |
/-
Copyright (c) 2020 Yury Kudryashov, Anne Baanen. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Anne Baanen
-/
import Mathlib.Algebra.BigOperators.Ring.Finset
import Mathlib.Algebra.Group.Action.Pi
import Mathlib.Data.Fintype.BigOperators
import Mathlib.Data.Fintype.Fin
import Mathlib.Logic.Equiv.Fin.Basic
/-!
# Big operators and `Fin`
Some results about products and sums over the type `Fin`.
The most important results are the induction formulas `Fin.prod_univ_castSucc`
and `Fin.prod_univ_succ`, and the formula `Fin.prod_const` for the product of a
constant function. These results have variants for sums instead of products.
## Main declarations
* `finFunctionFinEquiv`: An explicit equivalence between `Fin n → Fin m` and `Fin (m ^ n)`.
-/
assert_not_exists Field
open Finset
variable {α M : Type*}
namespace Finset
@[to_additive]
theorem prod_range [CommMonoid M] {n : ℕ} (f : ℕ → M) :
∏ i ∈ Finset.range n, f i = ∏ i : Fin n, f i :=
(Fin.prod_univ_eq_prod_range _ _).symm
end Finset
namespace Fin
section CommMonoid
variable [CommMonoid M] {n : ℕ}
@[to_additive]
theorem prod_ofFn (f : Fin n → M) : (List.ofFn f).prod = ∏ i, f i := by
simp [prod_eq_multiset_prod]
@[to_additive]
theorem prod_univ_def (f : Fin n → M) : ∏ i, f i = ((List.finRange n).map f).prod := by
rw [← List.ofFn_eq_map, prod_ofFn]
/-- A product of a function `f : Fin 0 → M` is `1` because `Fin 0` is empty -/
@[to_additive "A sum of a function `f : Fin 0 → M` is `0` because `Fin 0` is empty"]
theorem prod_univ_zero (f : Fin 0 → M) : ∏ i, f i = 1 :=
rfl
/-- A product of a function `f : Fin (n + 1) → M` over all `Fin (n + 1)`
is the product of `f x`, for some `x : Fin (n + 1)` times the remaining product -/
@[to_additive "A sum of a function `f : Fin (n + 1) → M` over all `Fin (n + 1)` is the sum of
`f x`, for some `x : Fin (n + 1)` plus the remaining sum"]
theorem prod_univ_succAbove (f : Fin (n + 1) → M) (x : Fin (n + 1)) :
∏ i, f i = f x * ∏ i : Fin n, f (x.succAbove i) := by
rw [univ_succAbove n x, prod_cons, Finset.prod_map, coe_succAboveEmb]
/-- A product of a function `f : Fin (n + 1) → M` over all `Fin (n + 1)`
is the product of `f 0` plus the remaining product -/
@[to_additive "A sum of a function `f : Fin (n + 1) → M` over all `Fin (n + 1)` is the sum of
`f 0` plus the remaining sum"]
theorem prod_univ_succ (f : Fin (n + 1) → M) :
∏ i, f i = f 0 * ∏ i : Fin n, f i.succ :=
prod_univ_succAbove f 0
/-- A product of a function `f : Fin (n + 1) → M` over all `Fin (n + 1)`
is the product of `f (Fin.last n)` plus the remaining product -/
@[to_additive "A sum of a function `f : Fin (n + 1) → M` over all `Fin (n + 1)` is the sum of
`f (Fin.last n)` plus the remaining sum"]
theorem prod_univ_castSucc (f : Fin (n + 1) → M) :
∏ i, f i = (∏ i : Fin n, f (Fin.castSucc i)) * f (last n) := by
simpa [mul_comm] using prod_univ_succAbove f (last n)
@[to_additive (attr := simp)]
theorem prod_univ_getElem (l : List M) : ∏ i : Fin l.length, l[i.1] = l.prod := by
simp [Finset.prod_eq_multiset_prod]
@[deprecated (since := "2025-04-19")]
alias sum_univ_get := sum_univ_getElem
@[to_additive existing, deprecated (since := "2025-04-19")]
alias prod_univ_get := prod_univ_getElem
@[to_additive (attr := simp)]
theorem prod_univ_fun_getElem (l : List α) (f : α → M) :
∏ i : Fin l.length, f l[i.1] = (l.map f).prod := by
simp [Finset.prod_eq_multiset_prod]
@[deprecated (since := "2025-04-19")]
alias sum_univ_get' := sum_univ_fun_getElem
@[to_additive existing, deprecated (since := "2025-04-19")]
alias prod_univ_get' := prod_univ_fun_getElem
@[to_additive (attr := simp)]
theorem prod_cons (x : M) (f : Fin n → M) :
(∏ i : Fin n.succ, (cons x f : Fin n.succ → M) i) = x * ∏ i : Fin n, f i := by
simp_rw [prod_univ_succ, cons_zero, cons_succ]
@[to_additive (attr := simp)]
theorem prod_snoc (x : M) (f : Fin n → M) :
(∏ i : Fin n.succ, (snoc f x : Fin n.succ → M) i) = (∏ i : Fin n, f i) * x := by
simp [prod_univ_castSucc]
@[to_additive sum_univ_one]
theorem prod_univ_one (f : Fin 1 → M) : ∏ i, f i = f 0 := by simp
@[to_additive (attr := simp)]
theorem prod_univ_two (f : Fin 2 → M) : ∏ i, f i = f 0 * f 1 := by
simp [prod_univ_succ]
@[to_additive]
theorem prod_univ_two' (f : α → M) (a b : α) : ∏ i, f (![a, b] i) = f a * f b :=
prod_univ_two _
@[to_additive]
theorem prod_univ_three (f : Fin 3 → M) : ∏ i, f i = f 0 * f 1 * f 2 := by
rw [prod_univ_castSucc, prod_univ_two]
rfl
@[to_additive]
theorem prod_univ_four (f : Fin 4 → M) : ∏ i, f i = f 0 * f 1 * f 2 * f 3 := by
rw [prod_univ_castSucc, prod_univ_three]
rfl
@[to_additive]
theorem prod_univ_five (f : Fin 5 → M) : ∏ i, f i = f 0 * f 1 * f 2 * f 3 * f 4 := by
rw [prod_univ_castSucc, prod_univ_four]
rfl
@[to_additive]
theorem prod_univ_six (f : Fin 6 → M) : ∏ i, f i = f 0 * f 1 * f 2 * f 3 * f 4 * f 5 := by
rw [prod_univ_castSucc, prod_univ_five]
rfl
@[to_additive]
theorem prod_univ_seven (f : Fin 7 → M) : ∏ i, f i = f 0 * f 1 * f 2 * f 3 * f 4 * f 5 * f 6 := by
rw [prod_univ_castSucc, prod_univ_six]
rfl
@[to_additive]
theorem prod_univ_eight (f : Fin 8 → M) :
∏ i, f i = f 0 * f 1 * f 2 * f 3 * f 4 * f 5 * f 6 * f 7 := by
rw [prod_univ_castSucc, prod_univ_seven]
rfl
@[to_additive]
theorem prod_const (n : ℕ) (x : M) : ∏ _i : Fin n, x = x ^ n := by simp
@[to_additive]
theorem prod_Ioi_zero {v : Fin n.succ → M} :
∏ i ∈ Ioi 0, v i = ∏ j : Fin n, v j.succ := by
rw [Ioi_zero_eq_map, Finset.prod_map, coe_succEmb]
@[to_additive (attr := simp)]
theorem prod_Ioi_succ (i : Fin n) (v : Fin n.succ → M) :
∏ j ∈ Ioi i.succ, v j = ∏ j ∈ Ioi i, v j.succ := by
rw [← map_succEmb_Ioi, Finset.prod_map, coe_succEmb]
@[to_additive]
theorem prod_congr' {a b : ℕ} (f : Fin b → M) (h : a = b) :
(∏ i : Fin a, f (i.cast h)) = ∏ i : Fin b, f i := by
subst h
congr
@[to_additive]
theorem prod_univ_add {a b : ℕ} (f : Fin (a + b) → M) :
(∏ i : Fin (a + b), f i) = (∏ i : Fin a, f (castAdd b i)) * ∏ i : Fin b, f (natAdd a i) := by
rw [Fintype.prod_equiv finSumFinEquiv.symm f fun i => f (finSumFinEquiv.toFun i)]
· apply Fintype.prod_sum_type
· intro x
simp only [Equiv.toFun_as_coe, Equiv.apply_symm_apply]
@[to_additive]
theorem prod_trunc {a b : ℕ} (f : Fin (a + b) → M) (hf : ∀ j : Fin b, f (natAdd a j) = 1) :
(∏ i : Fin (a + b), f i) = ∏ i : Fin a, f (castAdd b i) := by
rw [prod_univ_add, Fintype.prod_eq_one _ hf, mul_one]
end CommMonoid
theorem sum_pow_mul_eq_add_pow {n : ℕ} {R : Type*} [CommSemiring R] (a b : R) :
(∑ s : Finset (Fin n), a ^ s.card * b ^ (n - s.card)) = (a + b) ^ n := by
simpa using Fintype.sum_pow_mul_eq_add_pow (Fin n) a b
lemma sum_neg_one_pow (R : Type*) [Ring R] (m : ℕ) :
(∑ n : Fin m, (-1) ^ n.1 : R) = if Even m then 0 else 1 := by
induction m with
| zero => simp
| succ n IH =>
simp only [Fin.sum_univ_castSucc, Fin.coe_castSucc, IH, Fin.val_last,
Nat.even_add_one, ← Nat.not_even_iff_odd, ite_not]
split_ifs with h
· simp [*]
· simp [(Nat.not_even_iff_odd.mp h).neg_pow]
section PartialProd
variable [Monoid α] {n : ℕ}
/-- For `f = (a₁, ..., aₙ)` in `αⁿ`, `partialProd f` is `(1, a₁, a₁a₂, ..., a₁...aₙ)` in `αⁿ⁺¹`. -/
@[to_additive "For `f = (a₁, ..., aₙ)` in `αⁿ`, `partialSum f` is\n
`(0, a₁, a₁ + a₂, ..., a₁ + ... + aₙ)` in `αⁿ⁺¹`."]
def partialProd (f : Fin n → α) (i : Fin (n + 1)) : α :=
((List.ofFn f).take i).prod
@[to_additive (attr := simp)]
theorem partialProd_zero (f : Fin n → α) : partialProd f 0 = 1 := by simp [partialProd]
@[to_additive]
theorem partialProd_succ (f : Fin n → α) (j : Fin n) :
partialProd f j.succ = partialProd f (Fin.castSucc j) * f j := by
simp [partialProd, List.take_succ, List.ofFnNthVal, dif_pos j.is_lt]
@[to_additive]
theorem partialProd_succ' (f : Fin (n + 1) → α) (j : Fin (n + 1)) :
partialProd f j.succ = f 0 * partialProd (Fin.tail f) j := by
simp [partialProd]
rfl
@[to_additive]
theorem partialProd_left_inv {G : Type*} [Group G] (f : Fin (n + 1) → G) :
(f 0 • partialProd fun i : Fin n => (f i)⁻¹ * f i.succ) = f :=
funext fun x => Fin.inductionOn x (by simp) fun x hx => by
simp only [coe_eq_castSucc, Pi.smul_apply, smul_eq_mul] at hx ⊢
rw [partialProd_succ, ← mul_assoc, hx, mul_inv_cancel_left]
@[to_additive]
theorem partialProd_right_inv {G : Type*} [Group G] (f : Fin n → G) (i : Fin n) :
(partialProd f (Fin.castSucc i))⁻¹ * partialProd f i.succ = f i := by
rw [partialProd_succ, inv_mul_cancel_left]
/-- Let `(g₀, g₁, ..., gₙ)` be a tuple of elements in `Gⁿ⁺¹`.
Then if `k < j`, this says `(g₀g₁...gₖ₋₁)⁻¹ * g₀g₁...gₖ = gₖ`.
If `k = j`, it says `(g₀g₁...gₖ₋₁)⁻¹ * g₀g₁...gₖ₊₁ = gₖgₖ₊₁`.
If `k > j`, it says `(g₀g₁...gₖ)⁻¹ * g₀g₁...gₖ₊₁ = gₖ₊₁.`
Useful for defining group cohomology. -/
@[to_additive
"Let `(g₀, g₁, ..., gₙ)` be a tuple of elements in `Gⁿ⁺¹`.
Then if `k < j`, this says `-(g₀ + g₁ + ... + gₖ₋₁) + (g₀ + g₁ + ... + gₖ) = gₖ`.
If `k = j`, it says `-(g₀ + g₁ + ... + gₖ₋₁) + (g₀ + g₁ + ... + gₖ₊₁) = gₖ + gₖ₊₁`.
If `k > j`, it says `-(g₀ + g₁ + ... + gₖ) + (g₀ + g₁ + ... + gₖ₊₁) = gₖ₊₁.`
Useful for defining group cohomology."]
theorem inv_partialProd_mul_eq_contractNth {G : Type*} [Group G] (g : Fin (n + 1) → G)
(j : Fin (n + 1)) (k : Fin n) :
(partialProd g (j.succ.succAbove (Fin.castSucc k)))⁻¹ * partialProd g (j.succAbove k).succ =
j.contractNth (· * ·) g k := by
rcases lt_trichotomy (k : ℕ) j with (h | h | h)
· rwa [succAbove_of_castSucc_lt, succAbove_of_castSucc_lt, partialProd_right_inv,
contractNth_apply_of_lt]
· assumption
· rw [castSucc_lt_iff_succ_le, succ_le_succ_iff, le_iff_val_le_val]
exact le_of_lt h
· rwa [succAbove_of_castSucc_lt, succAbove_of_le_castSucc, partialProd_succ,
castSucc_fin_succ, ← mul_assoc,
partialProd_right_inv, contractNth_apply_of_eq]
· simp [le_iff_val_le_val, ← h]
· rw [castSucc_lt_iff_succ_le, succ_le_succ_iff, le_iff_val_le_val]
| exact le_of_eq h
· rwa [succAbove_of_le_castSucc, succAbove_of_le_castSucc, partialProd_succ, partialProd_succ,
castSucc_fin_succ, partialProd_succ, inv_mul_cancel_left, contractNth_apply_of_gt]
· exact le_iff_val_le_val.2 (le_of_lt h)
· rw [le_iff_val_le_val, val_succ]
exact Nat.succ_le_of_lt h
end PartialProd
end Fin
/-- Equivalence between `Fin n → Fin m` and `Fin (m ^ n)`. -/
@[simps!]
| Mathlib/Algebra/BigOperators/Fin.lean | 268 | 280 |
/-
Copyright (c) 2019 Calle Sönne. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Calle Sönne
-/
import Mathlib.Analysis.SpecialFunctions.Trigonometric.Basic
import Mathlib.Analysis.Normed.Group.AddCircle
import Mathlib.Algebra.CharZero.Quotient
import Mathlib.Topology.Instances.Sign
/-!
# The type of angles
In this file we define `Real.Angle` to be the quotient group `ℝ/2πℤ` and prove a few simple lemmas
about trigonometric functions and angles.
-/
open Real
noncomputable section
namespace Real
/-- The type of angles -/
def Angle : Type :=
AddCircle (2 * π)
-- The `NormedAddCommGroup, Inhabited` instances should be constructed by a deriving handler.
-- https://github.com/leanprover-community/mathlib4/issues/380
namespace Angle
instance : NormedAddCommGroup Angle :=
inferInstanceAs (NormedAddCommGroup (AddCircle (2 * π)))
instance : Inhabited Angle :=
inferInstanceAs (Inhabited (AddCircle (2 * π)))
/-- The canonical map from `ℝ` to the quotient `Angle`. -/
@[coe]
protected def coe (r : ℝ) : Angle := QuotientAddGroup.mk r
instance : Coe ℝ Angle := ⟨Angle.coe⟩
instance : CircularOrder Real.Angle :=
QuotientAddGroup.circularOrder (hp' := ⟨by norm_num [pi_pos]⟩)
@[continuity]
theorem continuous_coe : Continuous ((↑) : ℝ → Angle) :=
continuous_quotient_mk'
/-- Coercion `ℝ → Angle` as an additive homomorphism. -/
def coeHom : ℝ →+ Angle :=
QuotientAddGroup.mk' _
@[simp]
theorem coe_coeHom : (coeHom : ℝ → Angle) = ((↑) : ℝ → Angle) :=
rfl
/-- An induction principle to deduce results for `Angle` from those for `ℝ`, used with
`induction θ using Real.Angle.induction_on`. -/
@[elab_as_elim]
protected theorem induction_on {p : Angle → Prop} (θ : Angle) (h : ∀ x : ℝ, p x) : p θ :=
Quotient.inductionOn' θ h
@[simp]
theorem coe_zero : ↑(0 : ℝ) = (0 : Angle) :=
rfl
@[simp]
theorem coe_add (x y : ℝ) : ↑(x + y : ℝ) = (↑x + ↑y : Angle) :=
rfl
@[simp]
theorem coe_neg (x : ℝ) : ↑(-x : ℝ) = -(↑x : Angle) :=
rfl
@[simp]
theorem coe_sub (x y : ℝ) : ↑(x - y : ℝ) = (↑x - ↑y : Angle) :=
rfl
theorem coe_nsmul (n : ℕ) (x : ℝ) : ↑(n • x : ℝ) = n • (↑x : Angle) :=
rfl
theorem coe_zsmul (z : ℤ) (x : ℝ) : ↑(z • x : ℝ) = z • (↑x : Angle) :=
rfl
theorem coe_eq_zero_iff {x : ℝ} : (x : Angle) = 0 ↔ ∃ n : ℤ, n • (2 * π) = x :=
AddCircle.coe_eq_zero_iff (2 * π)
@[simp, norm_cast]
theorem natCast_mul_eq_nsmul (x : ℝ) (n : ℕ) : ↑((n : ℝ) * x) = n • (↑x : Angle) := by
simpa only [nsmul_eq_mul] using coeHom.map_nsmul x n
@[simp, norm_cast]
theorem intCast_mul_eq_zsmul (x : ℝ) (n : ℤ) : ↑((n : ℝ) * x : ℝ) = n • (↑x : Angle) := by
simpa only [zsmul_eq_mul] using coeHom.map_zsmul x n
theorem angle_eq_iff_two_pi_dvd_sub {ψ θ : ℝ} : (θ : Angle) = ψ ↔ ∃ k : ℤ, θ - ψ = 2 * π * k := by
simp only [QuotientAddGroup.eq, AddSubgroup.zmultiples_eq_closure,
AddSubgroup.mem_closure_singleton, zsmul_eq_mul', (sub_eq_neg_add _ _).symm, eq_comm]
rw [Angle.coe, Angle.coe, QuotientAddGroup.eq]
simp only [AddSubgroup.zmultiples_eq_closure,
AddSubgroup.mem_closure_singleton, zsmul_eq_mul', (sub_eq_neg_add _ _).symm, eq_comm]
@[simp]
theorem coe_two_pi : ↑(2 * π : ℝ) = (0 : Angle) :=
angle_eq_iff_two_pi_dvd_sub.2 ⟨1, by rw [sub_zero, Int.cast_one, mul_one]⟩
@[simp]
theorem neg_coe_pi : -(π : Angle) = π := by
rw [← coe_neg, angle_eq_iff_two_pi_dvd_sub]
use -1
simp [two_mul, sub_eq_add_neg]
@[simp]
theorem two_nsmul_coe_div_two (θ : ℝ) : (2 : ℕ) • (↑(θ / 2) : Angle) = θ := by
rw [← coe_nsmul, two_nsmul, add_halves]
@[simp]
theorem two_zsmul_coe_div_two (θ : ℝ) : (2 : ℤ) • (↑(θ / 2) : Angle) = θ := by
rw [← coe_zsmul, two_zsmul, add_halves]
theorem two_nsmul_neg_pi_div_two : (2 : ℕ) • (↑(-π / 2) : Angle) = π := by
rw [two_nsmul_coe_div_two, coe_neg, neg_coe_pi]
theorem two_zsmul_neg_pi_div_two : (2 : ℤ) • (↑(-π / 2) : Angle) = π := by
rw [two_zsmul, ← two_nsmul, two_nsmul_neg_pi_div_two]
theorem sub_coe_pi_eq_add_coe_pi (θ : Angle) : θ - π = θ + π := by
rw [sub_eq_add_neg, neg_coe_pi]
@[simp]
theorem two_nsmul_coe_pi : (2 : ℕ) • (π : Angle) = 0 := by simp [← natCast_mul_eq_nsmul]
@[simp]
theorem two_zsmul_coe_pi : (2 : ℤ) • (π : Angle) = 0 := by simp [← intCast_mul_eq_zsmul]
@[simp]
theorem coe_pi_add_coe_pi : (π : Real.Angle) + π = 0 := by rw [← two_nsmul, two_nsmul_coe_pi]
theorem zsmul_eq_iff {ψ θ : Angle} {z : ℤ} (hz : z ≠ 0) :
z • ψ = z • θ ↔ ∃ k : Fin z.natAbs, ψ = θ + (k : ℕ) • (2 * π / z : ℝ) :=
QuotientAddGroup.zmultiples_zsmul_eq_zsmul_iff hz
theorem nsmul_eq_iff {ψ θ : Angle} {n : ℕ} (hz : n ≠ 0) :
n • ψ = n • θ ↔ ∃ k : Fin n, ψ = θ + (k : ℕ) • (2 * π / n : ℝ) :=
QuotientAddGroup.zmultiples_nsmul_eq_nsmul_iff hz
theorem two_zsmul_eq_iff {ψ θ : Angle} : (2 : ℤ) • ψ = (2 : ℤ) • θ ↔ ψ = θ ∨ ψ = θ + ↑π := by
have : Int.natAbs 2 = 2 := rfl
rw [zsmul_eq_iff two_ne_zero, this, Fin.exists_fin_two, Fin.val_zero,
Fin.val_one, zero_smul, add_zero, one_smul, Int.cast_two,
mul_div_cancel_left₀ (_ : ℝ) two_ne_zero]
|
theorem two_nsmul_eq_iff {ψ θ : Angle} : (2 : ℕ) • ψ = (2 : ℕ) • θ ↔ ψ = θ ∨ ψ = θ + ↑π := by
| Mathlib/Analysis/SpecialFunctions/Trigonometric/Angle.lean | 156 | 157 |
/-
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.Polynomial.Eval.Degree
import Mathlib.Algebra.Prime.Lemmas
/-!
# Theory of degrees of polynomials
Some of the main results include
- `natDegree_comp_le` : The degree of the composition is at most the product of degrees
-/
noncomputable section
open Polynomial
open Finsupp Finset
namespace Polynomial
universe u v w
variable {R : Type u} {S : Type v} {ι : Type w} {a b : R} {m n : ℕ}
section Semiring
variable [Semiring R] {p q r : R[X]}
section Degree
theorem natDegree_comp_le : natDegree (p.comp q) ≤ natDegree p * natDegree q :=
letI := Classical.decEq R
if h0 : p.comp q = 0 then by rw [h0, natDegree_zero]; exact Nat.zero_le _
else
WithBot.coe_le_coe.1 <|
calc
↑(natDegree (p.comp q)) = degree (p.comp q) := (degree_eq_natDegree h0).symm
_ = _ := congr_arg degree comp_eq_sum_left
_ ≤ _ := degree_sum_le _ _
_ ≤ _ :=
Finset.sup_le fun n hn =>
calc
degree (C (coeff p n) * q ^ n) ≤ degree (C (coeff p n)) + degree (q ^ n) :=
degree_mul_le _ _
_ ≤ natDegree (C (coeff p n)) + n • degree q :=
(add_le_add degree_le_natDegree (degree_pow_le _ _))
_ ≤ natDegree (C (coeff p n)) + n • ↑(natDegree q) :=
(add_le_add_left (nsmul_le_nsmul_right (@degree_le_natDegree _ _ q) n) _)
_ = (n * natDegree q : ℕ) := by
rw [natDegree_C, Nat.cast_zero, zero_add, nsmul_eq_mul]
simp
_ ≤ (natDegree p * natDegree q : ℕ) :=
WithBot.coe_le_coe.2 <|
mul_le_mul_of_nonneg_right (le_natDegree_of_ne_zero (mem_support_iff.1 hn))
(Nat.zero_le _)
theorem natDegree_comp_eq_of_mul_ne_zero (h : p.leadingCoeff * q.leadingCoeff ^ p.natDegree ≠ 0) :
natDegree (p.comp q) = natDegree p * natDegree q := by
by_cases hq : natDegree q = 0
· exact le_antisymm natDegree_comp_le (by simp [hq])
apply natDegree_eq_of_le_of_coeff_ne_zero natDegree_comp_le
rwa [coeff_comp_degree_mul_degree hq]
theorem degree_pos_of_root {p : R[X]} (hp : p ≠ 0) (h : IsRoot p a) : 0 < degree p :=
lt_of_not_ge fun hlt => by
have := eq_C_of_degree_le_zero hlt
rw [IsRoot, this, eval_C] at h
simp only [h, RingHom.map_zero] at this
exact hp this
theorem natDegree_le_iff_coeff_eq_zero : p.natDegree ≤ n ↔ ∀ N : ℕ, n < N → p.coeff N = 0 := by
simp_rw [natDegree_le_iff_degree_le, degree_le_iff_coeff_zero, Nat.cast_lt]
theorem natDegree_add_le_iff_left {n : ℕ} (p q : R[X]) (qn : q.natDegree ≤ n) :
(p + q).natDegree ≤ n ↔ p.natDegree ≤ n := by
refine ⟨fun h => ?_, fun h => natDegree_add_le_of_degree_le h qn⟩
refine natDegree_le_iff_coeff_eq_zero.mpr fun m hm => ?_
convert natDegree_le_iff_coeff_eq_zero.mp h m hm using 1
rw [coeff_add, natDegree_le_iff_coeff_eq_zero.mp qn _ hm, add_zero]
theorem natDegree_add_le_iff_right {n : ℕ} (p q : R[X]) (pn : p.natDegree ≤ n) :
(p + q).natDegree ≤ n ↔ q.natDegree ≤ n := by
rw [add_comm]
exact natDegree_add_le_iff_left _ _ pn
-- TODO: Do we really want the following two lemmas? They are straightforward consequences of a
-- more atomic lemma
theorem natDegree_C_mul_le (a : R) (f : R[X]) : (C a * f).natDegree ≤ f.natDegree := by
simpa using natDegree_mul_le (p := C a)
theorem natDegree_mul_C_le (f : R[X]) (a : R) : (f * C a).natDegree ≤ f.natDegree := by
simpa using natDegree_mul_le (q := C a)
theorem eq_natDegree_of_le_mem_support (pn : p.natDegree ≤ n) (ns : n ∈ p.support) :
p.natDegree = n :=
le_antisymm pn (le_natDegree_of_mem_supp _ ns)
theorem natDegree_C_mul_eq_of_mul_eq_one {ai : R} (au : ai * a = 1) :
(C a * p).natDegree = p.natDegree :=
le_antisymm (natDegree_C_mul_le a p)
(calc
p.natDegree = (1 * p).natDegree := by nth_rw 1 [← one_mul p]
_ = (C ai * (C a * p)).natDegree := by rw [← C_1, ← au, RingHom.map_mul, ← mul_assoc]
_ ≤ (C a * p).natDegree := natDegree_C_mul_le ai (C a * p))
theorem natDegree_mul_C_eq_of_mul_eq_one {ai : R} (au : a * ai = 1) :
(p * C a).natDegree = p.natDegree :=
le_antisymm (natDegree_mul_C_le p a)
(calc
p.natDegree = (p * 1).natDegree := by nth_rw 1 [← mul_one p]
_ = (p * C a * C ai).natDegree := by rw [← C_1, ← au, RingHom.map_mul, ← mul_assoc]
_ ≤ (p * C a).natDegree := natDegree_mul_C_le (p * C a) ai)
/-- Although not explicitly stated, the assumptions of lemma `natDegree_mul_C_eq_of_mul_ne_zero`
force the polynomial `p` to be non-zero, via `p.leadingCoeff ≠ 0`.
-/
theorem natDegree_mul_C_eq_of_mul_ne_zero (h : p.leadingCoeff * a ≠ 0) :
(p * C a).natDegree = p.natDegree := by
refine eq_natDegree_of_le_mem_support (natDegree_mul_C_le p a) ?_
refine mem_support_iff.mpr ?_
rwa [coeff_mul_C]
/-- Although not explicitly stated, the assumptions of lemma `natDegree_C_mul_of_mul_ne_zero`
force the polynomial `p` to be non-zero, via `p.leadingCoeff ≠ 0`.
-/
theorem natDegree_C_mul_of_mul_ne_zero (h : a * p.leadingCoeff ≠ 0) :
(C a * p).natDegree = p.natDegree := by
refine eq_natDegree_of_le_mem_support (natDegree_C_mul_le a p) ?_
| refine mem_support_iff.mpr ?_
rwa [coeff_C_mul]
@[deprecated (since := "2025-01-03")]
alias natDegree_C_mul_eq_of_mul_ne_zero := natDegree_C_mul_of_mul_ne_zero
| Mathlib/Algebra/Polynomial/Degree/Lemmas.lean | 134 | 138 |
/-
Copyright (c) 2020 Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sébastien Gouëzel
-/
import Mathlib.Topology.UniformSpace.Cauchy
/-!
# Uniform convergence
A sequence of functions `Fₙ` (with values in a metric space) converges uniformly on a set `s` to a
function `f` if, for all `ε > 0`, for all large enough `n`, one has for all `y ∈ s` the inequality
`dist (f y, Fₙ y) < ε`. Under uniform convergence, many properties of the `Fₙ` pass to the limit,
most notably continuity. We prove this in the file, defining the notion of uniform convergence
in the more general setting of uniform spaces, and with respect to an arbitrary indexing set
endowed with a filter (instead of just `ℕ` with `atTop`).
## Main results
Let `α` be a topological space, `β` a uniform space, `Fₙ` and `f` be functions from `α` to `β`
(where the index `n` belongs to an indexing type `ι` endowed with a filter `p`).
* `TendstoUniformlyOn F f p s`: the fact that `Fₙ` converges uniformly to `f` on `s`. This means
that, for any entourage `u` of the diagonal, for large enough `n` (with respect to `p`), one has
`(f y, Fₙ y) ∈ u` for all `y ∈ s`.
* `TendstoUniformly F f p`: same notion with `s = univ`.
* `TendstoUniformlyOn.continuousOn`: a uniform limit on a set of functions which are continuous
on this set is itself continuous on this set.
* `TendstoUniformly.continuous`: a uniform limit of continuous functions is continuous.
* `TendstoUniformlyOn.tendsto_comp`: If `Fₙ` tends uniformly to `f` on a set `s`, and `gₙ` tends
to `x` within `s`, then `Fₙ gₙ` tends to `f x` if `f` is continuous at `x` within `s`.
* `TendstoUniformly.tendsto_comp`: If `Fₙ` tends uniformly to `f`, and `gₙ` tends to `x`, then
`Fₙ gₙ` tends to `f x`.
Finally, we introduce the notion of a uniform Cauchy sequence, which is to uniform
convergence what a Cauchy sequence is to the usual notion of convergence.
## Implementation notes
We derive most of our initial results from an auxiliary definition `TendstoUniformlyOnFilter`.
This definition in and of itself can sometimes be useful, e.g., when studying the local behavior
of the `Fₙ` near a point, which would typically look like `TendstoUniformlyOnFilter F f p (𝓝 x)`.
Still, while this may be the "correct" definition (see
`tendstoUniformlyOn_iff_tendstoUniformlyOnFilter`), it is somewhat unwieldy to work with in
practice. Thus, we provide the more traditional definition in `TendstoUniformlyOn`.
## Tags
Uniform limit, uniform convergence, tends uniformly to
-/
noncomputable section
open Topology Uniformity Filter Set Uniform
variable {α β γ ι : Type*} [UniformSpace β]
variable {F : ι → α → β} {f : α → β} {s s' : Set α} {x : α} {p : Filter ι} {p' : Filter α}
/-!
### Different notions of uniform convergence
We define uniform convergence, on a set or in the whole space.
-/
/-- A sequence of functions `Fₙ` converges uniformly on a filter `p'` to a limiting function `f`
with respect to the filter `p` if, for any entourage of the diagonal `u`, one has
`p ×ˢ p'`-eventually `(f x, Fₙ x) ∈ u`. -/
def TendstoUniformlyOnFilter (F : ι → α → β) (f : α → β) (p : Filter ι) (p' : Filter α) :=
∀ u ∈ 𝓤 β, ∀ᶠ n : ι × α in p ×ˢ p', (f n.snd, F n.fst n.snd) ∈ u
/--
A sequence of functions `Fₙ` converges uniformly on a filter `p'` to a limiting function `f` w.r.t.
filter `p` iff the function `(n, x) ↦ (f x, Fₙ x)` converges along `p ×ˢ p'` to the uniformity.
In other words: one knows nothing about the behavior of `x` in this limit besides it being in `p'`.
-/
theorem tendstoUniformlyOnFilter_iff_tendsto :
TendstoUniformlyOnFilter F f p p' ↔
Tendsto (fun q : ι × α => (f q.2, F q.1 q.2)) (p ×ˢ p') (𝓤 β) :=
Iff.rfl
/-- A sequence of functions `Fₙ` converges uniformly on a set `s` to a limiting function `f` with
respect to the filter `p` if, for any entourage of the diagonal `u`, one has `p`-eventually
`(f x, Fₙ x) ∈ u` for all `x ∈ s`. -/
def TendstoUniformlyOn (F : ι → α → β) (f : α → β) (p : Filter ι) (s : Set α) :=
∀ u ∈ 𝓤 β, ∀ᶠ n in p, ∀ x : α, x ∈ s → (f x, F n x) ∈ u
theorem tendstoUniformlyOn_iff_tendstoUniformlyOnFilter :
TendstoUniformlyOn F f p s ↔ TendstoUniformlyOnFilter F f p (𝓟 s) := by
simp only [TendstoUniformlyOn, TendstoUniformlyOnFilter]
apply forall₂_congr
simp_rw [eventually_prod_principal_iff]
simp
alias ⟨TendstoUniformlyOn.tendstoUniformlyOnFilter, TendstoUniformlyOnFilter.tendstoUniformlyOn⟩ :=
tendstoUniformlyOn_iff_tendstoUniformlyOnFilter
/-- A sequence of functions `Fₙ` converges uniformly on a set `s` to a limiting function `f` w.r.t.
filter `p` iff the function `(n, x) ↦ (f x, Fₙ x)` converges along `p ×ˢ 𝓟 s` to the uniformity.
In other words: one knows nothing about the behavior of `x` in this limit besides it being in `s`.
-/
theorem tendstoUniformlyOn_iff_tendsto :
TendstoUniformlyOn F f p s ↔
Tendsto (fun q : ι × α => (f q.2, F q.1 q.2)) (p ×ˢ 𝓟 s) (𝓤 β) := by
simp [tendstoUniformlyOn_iff_tendstoUniformlyOnFilter, tendstoUniformlyOnFilter_iff_tendsto]
/-- A sequence of functions `Fₙ` converges uniformly to a limiting function `f` with respect to a
filter `p` if, for any entourage of the diagonal `u`, one has `p`-eventually
`(f x, Fₙ x) ∈ u` for all `x`. -/
def TendstoUniformly (F : ι → α → β) (f : α → β) (p : Filter ι) :=
∀ u ∈ 𝓤 β, ∀ᶠ n in p, ∀ x : α, (f x, F n x) ∈ u
theorem tendstoUniformlyOn_univ : TendstoUniformlyOn F f p univ ↔ TendstoUniformly F f p := by
simp [TendstoUniformlyOn, TendstoUniformly]
theorem tendstoUniformly_iff_tendstoUniformlyOnFilter :
TendstoUniformly F f p ↔ TendstoUniformlyOnFilter F f p ⊤ := by
rw [← tendstoUniformlyOn_univ, tendstoUniformlyOn_iff_tendstoUniformlyOnFilter, principal_univ]
theorem TendstoUniformly.tendstoUniformlyOnFilter (h : TendstoUniformly F f p) :
TendstoUniformlyOnFilter F f p ⊤ := by rwa [← tendstoUniformly_iff_tendstoUniformlyOnFilter]
theorem tendstoUniformlyOn_iff_tendstoUniformly_comp_coe :
TendstoUniformlyOn F f p s ↔ TendstoUniformly (fun i (x : s) => F i x) (f ∘ (↑)) p :=
forall₂_congr fun u _ => by simp
/-- A sequence of functions `Fₙ` converges uniformly to a limiting function `f` w.r.t.
filter `p` iff the function `(n, x) ↦ (f x, Fₙ x)` converges along `p ×ˢ ⊤` to the uniformity.
In other words: one knows nothing about the behavior of `x` in this limit.
-/
theorem tendstoUniformly_iff_tendsto :
TendstoUniformly F f p ↔ Tendsto (fun q : ι × α => (f q.2, F q.1 q.2)) (p ×ˢ ⊤) (𝓤 β) := by
simp [tendstoUniformly_iff_tendstoUniformlyOnFilter, tendstoUniformlyOnFilter_iff_tendsto]
/-- Uniform convergence implies pointwise convergence. -/
theorem TendstoUniformlyOnFilter.tendsto_at (h : TendstoUniformlyOnFilter F f p p')
(hx : 𝓟 {x} ≤ p') : Tendsto (fun n => F n x) p <| 𝓝 (f x) := by
refine Uniform.tendsto_nhds_right.mpr fun u hu => mem_map.mpr ?_
filter_upwards [(h u hu).curry]
intro i h
simpa using h.filter_mono hx
/-- Uniform convergence implies pointwise convergence. -/
theorem TendstoUniformlyOn.tendsto_at (h : TendstoUniformlyOn F f p s) (hx : x ∈ s) :
Tendsto (fun n => F n x) p <| 𝓝 (f x) :=
h.tendstoUniformlyOnFilter.tendsto_at
(le_principal_iff.mpr <| mem_principal.mpr <| singleton_subset_iff.mpr <| hx)
/-- Uniform convergence implies pointwise convergence. -/
theorem TendstoUniformly.tendsto_at (h : TendstoUniformly F f p) (x : α) :
Tendsto (fun n => F n x) p <| 𝓝 (f x) :=
h.tendstoUniformlyOnFilter.tendsto_at le_top
theorem TendstoUniformlyOnFilter.mono_left {p'' : Filter ι} (h : TendstoUniformlyOnFilter F f p p')
(hp : p'' ≤ p) : TendstoUniformlyOnFilter F f p'' p' := fun u hu =>
(h u hu).filter_mono (p'.prod_mono_left hp)
theorem TendstoUniformlyOnFilter.mono_right {p'' : Filter α} (h : TendstoUniformlyOnFilter F f p p')
(hp : p'' ≤ p') : TendstoUniformlyOnFilter F f p p'' := fun u hu =>
(h u hu).filter_mono (p.prod_mono_right hp)
theorem TendstoUniformlyOn.mono (h : TendstoUniformlyOn F f p s) (h' : s' ⊆ s) :
TendstoUniformlyOn F f p s' :=
tendstoUniformlyOn_iff_tendstoUniformlyOnFilter.mpr
(h.tendstoUniformlyOnFilter.mono_right (le_principal_iff.mpr <| mem_principal.mpr h'))
theorem TendstoUniformlyOnFilter.congr {F' : ι → α → β} (hf : TendstoUniformlyOnFilter F f p p')
(hff' : ∀ᶠ n : ι × α in p ×ˢ p', F n.fst n.snd = F' n.fst n.snd) :
TendstoUniformlyOnFilter F' f p p' := by
refine fun u hu => ((hf u hu).and hff').mono fun n h => ?_
rw [← h.right]
exact h.left
theorem TendstoUniformlyOn.congr {F' : ι → α → β} (hf : TendstoUniformlyOn F f p s)
(hff' : ∀ᶠ n in p, Set.EqOn (F n) (F' n) s) : TendstoUniformlyOn F' f p s := by
rw [tendstoUniformlyOn_iff_tendstoUniformlyOnFilter] at hf ⊢
refine hf.congr ?_
rw [eventually_iff] at hff' ⊢
simp only [Set.EqOn] at hff'
simp only [mem_prod_principal, hff', mem_setOf_eq]
lemma tendstoUniformly_congr {F' : ι → α → β} (hF : F =ᶠ[p] F') :
TendstoUniformly F f p ↔ TendstoUniformly F' f p := by
simp_rw [← tendstoUniformlyOn_univ] at *
have HF := EventuallyEq.exists_mem hF
exact ⟨fun h => h.congr (by aesop), fun h => h.congr (by simp_rw [eqOn_comm]; aesop)⟩
theorem TendstoUniformlyOn.congr_right {g : α → β} (hf : TendstoUniformlyOn F f p s)
(hfg : EqOn f g s) : TendstoUniformlyOn F g p s := fun u hu => by
filter_upwards [hf u hu] with i hi a ha using hfg ha ▸ hi a ha
protected theorem TendstoUniformly.tendstoUniformlyOn (h : TendstoUniformly F f p) :
TendstoUniformlyOn F f p s :=
(tendstoUniformlyOn_univ.2 h).mono (subset_univ s)
/-- Composing on the right by a function preserves uniform convergence on a filter -/
theorem TendstoUniformlyOnFilter.comp (h : TendstoUniformlyOnFilter F f p p') (g : γ → α) :
TendstoUniformlyOnFilter (fun n => F n ∘ g) (f ∘ g) p (p'.comap g) := by
rw [tendstoUniformlyOnFilter_iff_tendsto] at h ⊢
exact h.comp (tendsto_id.prodMap tendsto_comap)
/-- Composing on the right by a function preserves uniform convergence on a set -/
theorem TendstoUniformlyOn.comp (h : TendstoUniformlyOn F f p s) (g : γ → α) :
TendstoUniformlyOn (fun n => F n ∘ g) (f ∘ g) p (g ⁻¹' s) := by
rw [tendstoUniformlyOn_iff_tendstoUniformlyOnFilter] at h ⊢
simpa [TendstoUniformlyOn, comap_principal] using TendstoUniformlyOnFilter.comp h g
/-- Composing on the right by a function preserves uniform convergence -/
theorem TendstoUniformly.comp (h : TendstoUniformly F f p) (g : γ → α) :
TendstoUniformly (fun n => F n ∘ g) (f ∘ g) p := by
rw [tendstoUniformly_iff_tendstoUniformlyOnFilter] at h ⊢
simpa [principal_univ, comap_principal] using h.comp g
/-- Composing on the left by a uniformly continuous function preserves
uniform convergence on a filter -/
theorem UniformContinuous.comp_tendstoUniformlyOnFilter [UniformSpace γ] {g : β → γ}
(hg : UniformContinuous g) (h : TendstoUniformlyOnFilter F f p p') :
TendstoUniformlyOnFilter (fun i => g ∘ F i) (g ∘ f) p p' := fun _u hu => h _ (hg hu)
/-- Composing on the left by a uniformly continuous function preserves
uniform convergence on a set -/
theorem UniformContinuous.comp_tendstoUniformlyOn [UniformSpace γ] {g : β → γ}
(hg : UniformContinuous g) (h : TendstoUniformlyOn F f p s) :
TendstoUniformlyOn (fun i => g ∘ F i) (g ∘ f) p s := fun _u hu => h _ (hg hu)
/-- Composing on the left by a uniformly continuous function preserves uniform convergence -/
theorem UniformContinuous.comp_tendstoUniformly [UniformSpace γ] {g : β → γ}
(hg : UniformContinuous g) (h : TendstoUniformly F f p) :
TendstoUniformly (fun i => g ∘ F i) (g ∘ f) p := fun _u hu => h _ (hg hu)
theorem TendstoUniformlyOnFilter.prodMap {ι' α' β' : Type*} [UniformSpace β'] {F' : ι' → α' → β'}
{f' : α' → β'} {q : Filter ι'} {q' : Filter α'} (h : TendstoUniformlyOnFilter F f p p')
(h' : TendstoUniformlyOnFilter F' f' q q') :
TendstoUniformlyOnFilter (fun i : ι × ι' => Prod.map (F i.1) (F' i.2)) (Prod.map f f') (p ×ˢ q)
(p' ×ˢ q') := by
rw [tendstoUniformlyOnFilter_iff_tendsto] at h h' ⊢
rw [uniformity_prod_eq_comap_prod, tendsto_comap_iff, ← map_swap4_prod, tendsto_map'_iff]
simpa using h.prodMap h'
@[deprecated (since := "2025-03-10")]
alias TendstoUniformlyOnFilter.prod_map := TendstoUniformlyOnFilter.prodMap
theorem TendstoUniformlyOn.prodMap {ι' α' β' : Type*} [UniformSpace β'] {F' : ι' → α' → β'}
{f' : α' → β'} {p' : Filter ι'} {s' : Set α'} (h : TendstoUniformlyOn F f p s)
(h' : TendstoUniformlyOn F' f' p' s') :
TendstoUniformlyOn (fun i : ι × ι' => Prod.map (F i.1) (F' i.2)) (Prod.map f f') (p ×ˢ p')
(s ×ˢ s') := by
rw [tendstoUniformlyOn_iff_tendstoUniformlyOnFilter] at h h' ⊢
simpa only [prod_principal_principal] using h.prodMap h'
@[deprecated (since := "2025-03-10")]
alias TendstoUniformlyOn.prod_map := TendstoUniformlyOn.prodMap
theorem TendstoUniformly.prodMap {ι' α' β' : Type*} [UniformSpace β'] {F' : ι' → α' → β'}
{f' : α' → β'} {p' : Filter ι'} (h : TendstoUniformly F f p) (h' : TendstoUniformly F' f' p') :
TendstoUniformly (fun i : ι × ι' => Prod.map (F i.1) (F' i.2)) (Prod.map f f') (p ×ˢ p') := by
rw [← tendstoUniformlyOn_univ, ← univ_prod_univ] at *
exact h.prodMap h'
@[deprecated (since := "2025-03-10")]
alias TendstoUniformly.prod_map := TendstoUniformly.prodMap
theorem TendstoUniformlyOnFilter.prodMk {ι' β' : Type*} [UniformSpace β'] {F' : ι' → α → β'}
{f' : α → β'} {q : Filter ι'} (h : TendstoUniformlyOnFilter F f p p')
(h' : TendstoUniformlyOnFilter F' f' q p') :
TendstoUniformlyOnFilter (fun (i : ι × ι') a => (F i.1 a, F' i.2 a)) (fun a => (f a, f' a))
(p ×ˢ q) p' :=
fun u hu => ((h.prodMap h') u hu).diag_of_prod_right
@[deprecated (since := "2025-03-10")]
alias TendstoUniformlyOnFilter.prod := TendstoUniformlyOnFilter.prodMk
protected theorem TendstoUniformlyOn.prodMk {ι' β' : Type*} [UniformSpace β'] {F' : ι' → α → β'}
{f' : α → β'} {p' : Filter ι'} (h : TendstoUniformlyOn F f p s)
(h' : TendstoUniformlyOn F' f' p' s) :
TendstoUniformlyOn (fun (i : ι × ι') a => (F i.1 a, F' i.2 a)) (fun a => (f a, f' a)) (p ×ˢ p')
s :=
(congr_arg _ s.inter_self).mp ((h.prodMap h').comp fun a => (a, a))
@[deprecated (since := "2025-03-10")]
alias TendstoUniformlyOn.prod := TendstoUniformlyOn.prodMk
theorem TendstoUniformly.prodMk {ι' β' : Type*} [UniformSpace β'] {F' : ι' → α → β'} {f' : α → β'}
{p' : Filter ι'} (h : TendstoUniformly F f p) (h' : TendstoUniformly F' f' p') :
TendstoUniformly (fun (i : ι × ι') a => (F i.1 a, F' i.2 a)) (fun a => (f a, f' a)) (p ×ˢ p') :=
(h.prodMap h').comp fun a => (a, a)
@[deprecated (since := "2025-03-10")]
alias TendstoUniformly.prod := TendstoUniformly.prodMk
/-- Uniform convergence on a filter `p'` to a constant function is equivalent to convergence in
`p ×ˢ p'`. -/
theorem tendsto_prod_filter_iff {c : β} :
Tendsto (↿F) (p ×ˢ p') (𝓝 c) ↔ TendstoUniformlyOnFilter F (fun _ => c) p p' := by
simp_rw [nhds_eq_comap_uniformity, tendsto_comap_iff]
rfl
/-- Uniform convergence on a set `s` to a constant function is equivalent to convergence in
`p ×ˢ 𝓟 s`. -/
theorem tendsto_prod_principal_iff {c : β} :
Tendsto (↿F) (p ×ˢ 𝓟 s) (𝓝 c) ↔ TendstoUniformlyOn F (fun _ => c) p s := by
rw [tendstoUniformlyOn_iff_tendstoUniformlyOnFilter]
exact tendsto_prod_filter_iff
/-- Uniform convergence to a constant function is equivalent to convergence in `p ×ˢ ⊤`. -/
theorem tendsto_prod_top_iff {c : β} :
Tendsto (↿F) (p ×ˢ ⊤) (𝓝 c) ↔ TendstoUniformly F (fun _ => c) p := by
rw [tendstoUniformly_iff_tendstoUniformlyOnFilter]
exact tendsto_prod_filter_iff
/-- Uniform convergence on the empty set is vacuously true -/
theorem tendstoUniformlyOn_empty : TendstoUniformlyOn F f p ∅ := fun u _ => by simp
/-- Uniform convergence on a singleton is equivalent to regular convergence -/
theorem tendstoUniformlyOn_singleton_iff_tendsto :
TendstoUniformlyOn F f p {x} ↔ Tendsto (fun n : ι => F n x) p (𝓝 (f x)) := by
simp_rw [tendstoUniformlyOn_iff_tendsto, Uniform.tendsto_nhds_right, tendsto_def]
exact forall₂_congr fun u _ => by simp [mem_prod_principal, preimage]
/-- If a sequence `g` converges to some `b`, then the sequence of constant functions
`fun n ↦ fun a ↦ g n` converges to the constant function `fun a ↦ b` on any set `s` -/
theorem Filter.Tendsto.tendstoUniformlyOnFilter_const {g : ι → β} {b : β} (hg : Tendsto g p (𝓝 b))
(p' : Filter α) :
TendstoUniformlyOnFilter (fun n : ι => fun _ : α => g n) (fun _ : α => b) p p' := by
simpa only [nhds_eq_comap_uniformity, tendsto_comap_iff] using hg.comp (tendsto_fst (g := p'))
/-- If a sequence `g` converges to some `b`, then the sequence of constant functions
`fun n ↦ fun a ↦ g n` converges to the constant function `fun a ↦ b` on any set `s` -/
theorem Filter.Tendsto.tendstoUniformlyOn_const {g : ι → β} {b : β} (hg : Tendsto g p (𝓝 b))
(s : Set α) : TendstoUniformlyOn (fun n : ι => fun _ : α => g n) (fun _ : α => b) p s :=
tendstoUniformlyOn_iff_tendstoUniformlyOnFilter.mpr (hg.tendstoUniformlyOnFilter_const (𝓟 s))
theorem UniformContinuousOn.tendstoUniformlyOn [UniformSpace α] [UniformSpace γ] {U : Set α}
{V : Set β} {F : α → β → γ} (hF : UniformContinuousOn (↿F) (U ×ˢ V)) (hU : x ∈ U) :
TendstoUniformlyOn F (F x) (𝓝[U] x) V := by
set φ := fun q : α × β => ((x, q.2), q)
rw [tendstoUniformlyOn_iff_tendsto]
change Tendsto (Prod.map (↿F) ↿F ∘ φ) (𝓝[U] x ×ˢ 𝓟 V) (𝓤 γ)
simp only [nhdsWithin, Filter.prod_eq_inf, comap_inf, inf_assoc, comap_principal, inf_principal]
refine hF.comp (Tendsto.inf ?_ <| tendsto_principal_principal.2 fun x hx => ⟨⟨hU, hx.2⟩, hx⟩)
simp only [uniformity_prod_eq_comap_prod, tendsto_comap_iff, (· ∘ ·),
nhds_eq_comap_uniformity, comap_comap]
exact tendsto_comap.prodMk (tendsto_diag_uniformity _ _)
theorem UniformContinuousOn.tendstoUniformly [UniformSpace α] [UniformSpace γ] {U : Set α}
(hU : U ∈ 𝓝 x) {F : α → β → γ} (hF : UniformContinuousOn (↿F) (U ×ˢ (univ : Set β))) :
TendstoUniformly F (F x) (𝓝 x) := by
simpa only [tendstoUniformlyOn_univ, nhdsWithin_eq_nhds.2 hU]
using hF.tendstoUniformlyOn (mem_of_mem_nhds hU)
theorem UniformContinuous₂.tendstoUniformly [UniformSpace α] [UniformSpace γ] {f : α → β → γ}
(h : UniformContinuous₂ f) : TendstoUniformly f (f x) (𝓝 x) :=
UniformContinuousOn.tendstoUniformly univ_mem <| by rwa [univ_prod_univ, uniformContinuousOn_univ]
/-- A sequence is uniformly Cauchy if eventually all of its pairwise differences are
uniformly bounded -/
def UniformCauchySeqOnFilter (F : ι → α → β) (p : Filter ι) (p' : Filter α) : Prop :=
∀ u ∈ 𝓤 β, ∀ᶠ m : (ι × ι) × α in (p ×ˢ p) ×ˢ p', (F m.fst.fst m.snd, F m.fst.snd m.snd) ∈ u
/-- A sequence is uniformly Cauchy if eventually all of its pairwise differences are
uniformly bounded -/
def UniformCauchySeqOn (F : ι → α → β) (p : Filter ι) (s : Set α) : Prop :=
∀ u ∈ 𝓤 β, ∀ᶠ m : ι × ι in p ×ˢ p, ∀ x : α, x ∈ s → (F m.fst x, F m.snd x) ∈ u
theorem uniformCauchySeqOn_iff_uniformCauchySeqOnFilter :
UniformCauchySeqOn F p s ↔ UniformCauchySeqOnFilter F p (𝓟 s) := by
simp only [UniformCauchySeqOn, UniformCauchySeqOnFilter]
refine forall₂_congr fun u hu => ?_
rw [eventually_prod_principal_iff]
theorem UniformCauchySeqOn.uniformCauchySeqOnFilter (hF : UniformCauchySeqOn F p s) :
UniformCauchySeqOnFilter F p (𝓟 s) := by rwa [← uniformCauchySeqOn_iff_uniformCauchySeqOnFilter]
/-- A sequence that converges uniformly is also uniformly Cauchy -/
theorem TendstoUniformlyOnFilter.uniformCauchySeqOnFilter (hF : TendstoUniformlyOnFilter F f p p') :
UniformCauchySeqOnFilter F p p' := by
intro u hu
rcases comp_symm_of_uniformity hu with ⟨t, ht, htsymm, htmem⟩
have := tendsto_swap4_prod.eventually ((hF t ht).prod_mk (hF t ht))
apply this.diag_of_prod_right.mono
simp only [and_imp, Prod.forall]
intro n1 n2 x hl hr
exact Set.mem_of_mem_of_subset (prodMk_mem_compRel (htsymm hl) hr) htmem
|
/-- A sequence that converges uniformly is also uniformly Cauchy -/
theorem TendstoUniformlyOn.uniformCauchySeqOn (hF : TendstoUniformlyOn F f p s) :
UniformCauchySeqOn F p s :=
uniformCauchySeqOn_iff_uniformCauchySeqOnFilter.mpr
| Mathlib/Topology/UniformSpace/UniformConvergence.lean | 383 | 387 |
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