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import Mathlib.CategoryTheory.Comma.Arrow
import Mathlib.CategoryTheory.Pi.Basic
import Mathlib.Order.CompleteBooleanAlgebra
#align_import category_theory.morphism_property from "leanprover-community/mathlib"@"7f963633766aaa3ebc8253100a5229dd463040c7"
universe w v v' u u'
open CategoryTheory Opposite
noncomputable section
namespace CategoryTheory
variable (C : Type u) [Category.{v} C] {D : Type*} [Category D]
def MorphismProperty :=
∀ ⦃X Y : C⦄ (_ : X ⟶ Y), Prop
#align category_theory.morphism_property CategoryTheory.MorphismProperty
instance : CompleteBooleanAlgebra (MorphismProperty C) where
le P₁ P₂ := ∀ ⦃X Y : C⦄ (f : X ⟶ Y), P₁ f → P₂ f
__ := inferInstanceAs (CompleteBooleanAlgebra (∀ ⦃X Y : C⦄ (_ : X ⟶ Y), Prop))
lemma MorphismProperty.le_def {P Q : MorphismProperty C} :
P ≤ Q ↔ ∀ {X Y : C} (f : X ⟶ Y), P f → Q f := Iff.rfl
instance : Inhabited (MorphismProperty C) :=
⟨⊤⟩
lemma MorphismProperty.top_eq : (⊤ : MorphismProperty C) = fun _ _ _ => True := rfl
variable {C}
namespace MorphismProperty
@[ext]
lemma ext (W W' : MorphismProperty C) (h : ∀ ⦃X Y : C⦄ (f : X ⟶ Y), W f ↔ W' f) :
W = W' := by
funext X Y f
rw [h]
@[simp]
lemma top_apply {X Y : C} (f : X ⟶ Y) : (⊤ : MorphismProperty C) f := by
simp only [top_eq]
@[simp]
def op (P : MorphismProperty C) : MorphismProperty Cᵒᵖ := fun _ _ f => P f.unop
#align category_theory.morphism_property.op CategoryTheory.MorphismProperty.op
@[simp]
def unop (P : MorphismProperty Cᵒᵖ) : MorphismProperty C := fun _ _ f => P f.op
#align category_theory.morphism_property.unop CategoryTheory.MorphismProperty.unop
theorem unop_op (P : MorphismProperty C) : P.op.unop = P :=
rfl
#align category_theory.morphism_property.unop_op CategoryTheory.MorphismProperty.unop_op
theorem op_unop (P : MorphismProperty Cᵒᵖ) : P.unop.op = P :=
rfl
#align category_theory.morphism_property.op_unop CategoryTheory.MorphismProperty.op_unop
def inverseImage (P : MorphismProperty D) (F : C ⥤ D) : MorphismProperty C := fun _ _ f =>
P (F.map f)
#align category_theory.morphism_property.inverse_image CategoryTheory.MorphismProperty.inverseImage
@[simp]
lemma inverseImage_iff (P : MorphismProperty D) (F : C ⥤ D) {X Y : C} (f : X ⟶ Y) :
P.inverseImage F f ↔ P (F.map f) := by rfl
def map (P : MorphismProperty C) (F : C ⥤ D) : MorphismProperty D := fun _ _ f =>
∃ (X' Y' : C) (f' : X' ⟶ Y') (_ : P f'), Nonempty (Arrow.mk (F.map f') ≅ Arrow.mk f)
lemma map_mem_map (P : MorphismProperty C) (F : C ⥤ D) {X Y : C} (f : X ⟶ Y) (hf : P f) :
(P.map F) (F.map f) := ⟨X, Y, f, hf, ⟨Iso.refl _⟩⟩
lemma monotone_map (F : C ⥤ D) :
Monotone (map · F) := by
intro P Q h X Y f ⟨X', Y', f', hf', ⟨e⟩⟩
exact ⟨X', Y', f', h _ hf', ⟨e⟩⟩
def RespectsIso (P : MorphismProperty C) : Prop :=
(∀ {X Y Z} (e : X ≅ Y) (f : Y ⟶ Z), P f → P (e.hom ≫ f)) ∧
∀ {X Y Z} (e : Y ≅ Z) (f : X ⟶ Y), P f → P (f ≫ e.hom)
#align category_theory.morphism_property.respects_iso CategoryTheory.MorphismProperty.RespectsIso
theorem RespectsIso.op {P : MorphismProperty C} (h : RespectsIso P) : RespectsIso P.op :=
⟨fun e f hf => h.2 e.unop f.unop hf, fun e f hf => h.1 e.unop f.unop hf⟩
#align category_theory.morphism_property.respects_iso.op CategoryTheory.MorphismProperty.RespectsIso.op
theorem RespectsIso.unop {P : MorphismProperty Cᵒᵖ} (h : RespectsIso P) : RespectsIso P.unop :=
⟨fun e f hf => h.2 e.op f.op hf, fun e f hf => h.1 e.op f.op hf⟩
#align category_theory.morphism_property.respects_iso.unop CategoryTheory.MorphismProperty.RespectsIso.unop
def isoClosure (P : MorphismProperty C) : MorphismProperty C :=
fun _ _ f => ∃ (Y₁ Y₂ : C) (f' : Y₁ ⟶ Y₂) (_ : P f'), Nonempty (Arrow.mk f' ≅ Arrow.mk f)
lemma le_isoClosure (P : MorphismProperty C) : P ≤ P.isoClosure :=
fun _ _ f hf => ⟨_, _, f, hf, ⟨Iso.refl _⟩⟩
lemma isoClosure_respectsIso (P : MorphismProperty C) :
RespectsIso P.isoClosure :=
⟨fun e f ⟨_, _, f', hf', ⟨iso⟩⟩ =>
⟨_, _, f', hf', ⟨Arrow.isoMk (asIso iso.hom.left ≪≫ e.symm)
(asIso iso.hom.right) (by simp)⟩⟩,
fun e f ⟨_, _, f', hf', ⟨iso⟩⟩ =>
⟨_, _, f', hf', ⟨Arrow.isoMk (asIso iso.hom.left)
(asIso iso.hom.right ≪≫ e) (by simp)⟩⟩⟩
lemma monotone_isoClosure : Monotone (isoClosure (C := C)) := by
intro P Q h X Y f ⟨X', Y', f', hf', ⟨e⟩⟩
exact ⟨X', Y', f', h _ hf', ⟨e⟩⟩
theorem RespectsIso.cancel_left_isIso {P : MorphismProperty C} (hP : RespectsIso P) {X Y Z : C}
(f : X ⟶ Y) (g : Y ⟶ Z) [IsIso f] : P (f ≫ g) ↔ P g :=
⟨fun h => by simpa using hP.1 (asIso f).symm (f ≫ g) h, hP.1 (asIso f) g⟩
#align category_theory.morphism_property.respects_iso.cancel_left_is_iso CategoryTheory.MorphismProperty.RespectsIso.cancel_left_isIso
theorem RespectsIso.cancel_right_isIso {P : MorphismProperty C} (hP : RespectsIso P) {X Y Z : C}
(f : X ⟶ Y) (g : Y ⟶ Z) [IsIso g] : P (f ≫ g) ↔ P f :=
⟨fun h => by simpa using hP.2 (asIso g).symm (f ≫ g) h, hP.2 (asIso g) f⟩
#align category_theory.morphism_property.respects_iso.cancel_right_is_iso CategoryTheory.MorphismProperty.RespectsIso.cancel_right_isIso
theorem RespectsIso.arrow_iso_iff {P : MorphismProperty C} (hP : RespectsIso P) {f g : Arrow C}
(e : f ≅ g) : P f.hom ↔ P g.hom := by
rw [← Arrow.inv_left_hom_right e.hom, hP.cancel_left_isIso, hP.cancel_right_isIso]
#align category_theory.morphism_property.respects_iso.arrow_iso_iff CategoryTheory.MorphismProperty.RespectsIso.arrow_iso_iff
theorem RespectsIso.arrow_mk_iso_iff {P : MorphismProperty C} (hP : RespectsIso P) {W X Y Z : C}
{f : W ⟶ X} {g : Y ⟶ Z} (e : Arrow.mk f ≅ Arrow.mk g) : P f ↔ P g :=
hP.arrow_iso_iff e
#align category_theory.morphism_property.respects_iso.arrow_mk_iso_iff CategoryTheory.MorphismProperty.RespectsIso.arrow_mk_iso_iff
theorem RespectsIso.of_respects_arrow_iso (P : MorphismProperty C)
(hP : ∀ (f g : Arrow C) (_ : f ≅ g) (_ : P f.hom), P g.hom) : RespectsIso P := by
constructor
· intro X Y Z e f hf
refine hP (Arrow.mk f) (Arrow.mk (e.hom ≫ f)) (Arrow.isoMk e.symm (Iso.refl _) ?_) hf
dsimp
simp only [Iso.inv_hom_id_assoc, Category.comp_id]
· intro X Y Z e f hf
refine hP (Arrow.mk f) (Arrow.mk (f ≫ e.hom)) (Arrow.isoMk (Iso.refl _) e ?_) hf
dsimp
simp only [Category.id_comp]
#align category_theory.morphism_property.respects_iso.of_respects_arrow_iso CategoryTheory.MorphismProperty.RespectsIso.of_respects_arrow_iso
lemma isoClosure_eq_iff {P : MorphismProperty C} :
P.isoClosure = P ↔ P.RespectsIso := by
refine ⟨(· ▸ P.isoClosure_respectsIso), fun hP ↦ le_antisymm ?_ (P.le_isoClosure)⟩
intro X Y f ⟨X', Y', f', hf', ⟨e⟩⟩
exact (hP.arrow_mk_iso_iff e).1 hf'
lemma RespectsIso.isoClosure_eq {P : MorphismProperty C} (hP : P.RespectsIso) :
P.isoClosure = P := by rwa [isoClosure_eq_iff]
@[simp]
lemma isoClosure_isoClosure (P : MorphismProperty C) :
P.isoClosure.isoClosure = P.isoClosure :=
P.isoClosure_respectsIso.isoClosure_eq
lemma isoClosure_le_iff (P Q : MorphismProperty C) (hQ : RespectsIso Q) :
P.isoClosure ≤ Q ↔ P ≤ Q := by
constructor
· exact P.le_isoClosure.trans
· intro h
exact (monotone_isoClosure h).trans (by rw [hQ.isoClosure_eq])
lemma map_respectsIso (P : MorphismProperty C) (F : C ⥤ D) :
(P.map F).RespectsIso := by
apply RespectsIso.of_respects_arrow_iso
intro f g e ⟨X', Y', f', hf', ⟨e'⟩⟩
exact ⟨X', Y', f', hf', ⟨e' ≪≫ e⟩⟩
lemma map_le_iff {P : MorphismProperty C} {F : C ⥤ D} {Q : MorphismProperty D}
(hQ : RespectsIso Q) :
P.map F ≤ Q ↔ P ≤ Q.inverseImage F := by
constructor
· intro h X Y f hf
exact h (F.map f) (map_mem_map P F f hf)
· intro h X Y f ⟨X', Y', f', hf', ⟨e⟩⟩
exact (hQ.arrow_mk_iso_iff e).1 (h _ hf')
@[simp]
lemma map_isoClosure (P : MorphismProperty C) (F : C ⥤ D) :
P.isoClosure.map F = P.map F := by
apply le_antisymm
· rw [map_le_iff (P.map_respectsIso F)]
intro X Y f ⟨X', Y', f', hf', ⟨e⟩⟩
exact ⟨_, _, f', hf', ⟨F.mapArrow.mapIso e⟩⟩
· exact monotone_map _ (le_isoClosure P)
lemma map_id_eq_isoClosure (P : MorphismProperty C) :
P.map (𝟭 _) = P.isoClosure := by
apply le_antisymm
· rw [map_le_iff P.isoClosure_respectsIso]
intro X Y f hf
exact P.le_isoClosure _ hf
· intro X Y f hf
exact hf
lemma map_id (P : MorphismProperty C) (hP : RespectsIso P) :
P.map (𝟭 _) = P := by
rw [map_id_eq_isoClosure, hP.isoClosure_eq]
@[simp]
lemma map_map (P : MorphismProperty C) (F : C ⥤ D) {E : Type*} [Category E] (G : D ⥤ E) :
(P.map F).map G = P.map (F ⋙ G) := by
apply le_antisymm
· rw [map_le_iff (map_respectsIso _ (F ⋙ G))]
intro X Y f ⟨X', Y', f', hf', ⟨e⟩⟩
exact ⟨X', Y', f', hf', ⟨G.mapArrow.mapIso e⟩⟩
· rw [map_le_iff (map_respectsIso _ G)]
intro X Y f hf
exact map_mem_map _ _ _ (map_mem_map _ _ _ hf)
theorem RespectsIso.inverseImage {P : MorphismProperty D} (h : RespectsIso P) (F : C ⥤ D) :
RespectsIso (P.inverseImage F) := by
constructor
all_goals
intro X Y Z e f hf
dsimp [MorphismProperty.inverseImage]
rw [F.map_comp]
exacts [h.1 (F.mapIso e) (F.map f) hf, h.2 (F.mapIso e) (F.map f) hf]
#align category_theory.morphism_property.respects_iso.inverse_image CategoryTheory.MorphismProperty.RespectsIso.inverseImage
lemma map_eq_of_iso (P : MorphismProperty C) {F G : C ⥤ D} (e : F ≅ G) :
P.map F = P.map G := by
revert F G e
suffices ∀ {F G : C ⥤ D} (_ : F ≅ G), P.map F ≤ P.map G from
fun F G e => le_antisymm (this e) (this e.symm)
intro F G e X Y f ⟨X', Y', f', hf', ⟨e'⟩⟩
exact ⟨X', Y', f', hf', ⟨((Functor.mapArrowFunctor _ _).mapIso e.symm).app (Arrow.mk f') ≪≫ e'⟩⟩
lemma map_inverseImage_le (P : MorphismProperty D) (F : C ⥤ D) :
(P.inverseImage F).map F ≤ P.isoClosure :=
fun _ _ _ ⟨_, _, f, hf, ⟨e⟩⟩ => ⟨_, _, F.map f, hf, ⟨e⟩⟩
lemma inverseImage_equivalence_inverse_eq_map_functor
(P : MorphismProperty D) (hP : RespectsIso P) (E : C ≌ D) :
P.inverseImage E.functor = P.map E.inverse := by
apply le_antisymm
· intro X Y f hf
refine ⟨_, _, _, hf, ⟨?_⟩⟩
exact ((Functor.mapArrowFunctor _ _).mapIso E.unitIso.symm).app (Arrow.mk f)
· rw [map_le_iff (hP.inverseImage E.functor)]
intro X Y f hf
exact (hP.arrow_mk_iso_iff
(((Functor.mapArrowFunctor _ _).mapIso E.counitIso).app (Arrow.mk f))).2 hf
lemma inverseImage_equivalence_functor_eq_map_inverse
(Q : MorphismProperty C) (hQ : RespectsIso Q) (E : C ≌ D) :
Q.inverseImage E.inverse = Q.map E.functor :=
inverseImage_equivalence_inverse_eq_map_functor Q hQ E.symm
lemma map_inverseImage_eq_of_isEquivalence
(P : MorphismProperty D) (hP : P.RespectsIso) (F : C ⥤ D) [F.IsEquivalence] :
(P.inverseImage F).map F = P := by
erw [P.inverseImage_equivalence_inverse_eq_map_functor hP F.asEquivalence, map_map,
P.map_eq_of_iso F.asEquivalence.counitIso, map_id _ hP]
lemma inverseImage_map_eq_of_isEquivalence
(P : MorphismProperty C) (hP : P.RespectsIso) (F : C ⥤ D) [F.IsEquivalence] :
(P.map F).inverseImage F = P := by
erw [((P.map F).inverseImage_equivalence_inverse_eq_map_functor
(P.map_respectsIso F) (F.asEquivalence)), map_map,
P.map_eq_of_iso F.asEquivalence.unitIso.symm, map_id _ hP]
variable (C)
def isomorphisms : MorphismProperty C := fun _ _ f => IsIso f
#align category_theory.morphism_property.isomorphisms CategoryTheory.MorphismProperty.isomorphisms
def monomorphisms : MorphismProperty C := fun _ _ f => Mono f
#align category_theory.morphism_property.monomorphisms CategoryTheory.MorphismProperty.monomorphisms
def epimorphisms : MorphismProperty C := fun _ _ f => Epi f
#align category_theory.morphism_property.epimorphisms CategoryTheory.MorphismProperty.epimorphisms
section
variable {C}
variable {X Y : C} (f : X ⟶ Y)
@[simp]
theorem isomorphisms.iff : (isomorphisms C) f ↔ IsIso f := by rfl
#align category_theory.morphism_property.isomorphisms.iff CategoryTheory.MorphismProperty.isomorphisms.iff
@[simp]
theorem monomorphisms.iff : (monomorphisms C) f ↔ Mono f := by rfl
#align category_theory.morphism_property.monomorphisms.iff CategoryTheory.MorphismProperty.monomorphisms.iff
@[simp]
| Mathlib/CategoryTheory/MorphismProperty/Basic.lean | 321 | 321 | theorem epimorphisms.iff : (epimorphisms C) f ↔ Epi f := by | rfl
|
import Mathlib.LinearAlgebra.FiniteDimensional
#align_import linear_algebra.projective_space.basic from "leanprover-community/mathlib"@"c4658a649d216f57e99621708b09dcb3dcccbd23"
variable (K V : Type*) [DivisionRing K] [AddCommGroup V] [Module K V]
def projectivizationSetoid : Setoid { v : V // v ≠ 0 } :=
(MulAction.orbitRel Kˣ V).comap (↑)
#align projectivization_setoid projectivizationSetoid
def Projectivization := Quotient (projectivizationSetoid K V)
#align projectivization Projectivization
scoped[LinearAlgebra.Projectivization] notation "ℙ" => Projectivization
namespace Projectivization
open scoped LinearAlgebra.Projectivization
variable {V}
def mk (v : V) (hv : v ≠ 0) : ℙ K V :=
Quotient.mk'' ⟨v, hv⟩
#align projectivization.mk Projectivization.mk
def mk' (v : { v : V // v ≠ 0 }) : ℙ K V :=
Quotient.mk'' v
#align projectivization.mk' Projectivization.mk'
@[simp]
theorem mk'_eq_mk (v : { v : V // v ≠ 0 }) : mk' K v = mk K ↑v v.2 := rfl
#align projectivization.mk'_eq_mk Projectivization.mk'_eq_mk
instance [Nontrivial V] : Nonempty (ℙ K V) :=
let ⟨v, hv⟩ := exists_ne (0 : V)
⟨mk K v hv⟩
variable {K}
protected noncomputable def rep (v : ℙ K V) : V :=
v.out'
#align projectivization.rep Projectivization.rep
theorem rep_nonzero (v : ℙ K V) : v.rep ≠ 0 :=
v.out'.2
#align projectivization.rep_nonzero Projectivization.rep_nonzero
@[simp]
theorem mk_rep (v : ℙ K V) : mk K v.rep v.rep_nonzero = v := Quotient.out_eq' _
#align projectivization.mk_rep Projectivization.mk_rep
open FiniteDimensional
protected def submodule (v : ℙ K V) : Submodule K V :=
(Quotient.liftOn' v fun v => K ∙ (v : V)) <| by
rintro ⟨a, ha⟩ ⟨b, hb⟩ ⟨x, rfl : x • b = a⟩
exact Submodule.span_singleton_group_smul_eq _ x _
#align projectivization.submodule Projectivization.submodule
variable (K)
theorem mk_eq_mk_iff (v w : V) (hv : v ≠ 0) (hw : w ≠ 0) :
mk K v hv = mk K w hw ↔ ∃ a : Kˣ, a • w = v :=
Quotient.eq''
#align projectivization.mk_eq_mk_iff Projectivization.mk_eq_mk_iff
theorem mk_eq_mk_iff' (v w : V) (hv : v ≠ 0) (hw : w ≠ 0) :
mk K v hv = mk K w hw ↔ ∃ a : K, a • w = v := by
rw [mk_eq_mk_iff K v w hv hw]
constructor
· rintro ⟨a, ha⟩
exact ⟨a, ha⟩
· rintro ⟨a, ha⟩
refine ⟨Units.mk0 a fun c => hv.symm ?_, ha⟩
rwa [c, zero_smul] at ha
#align projectivization.mk_eq_mk_iff' Projectivization.mk_eq_mk_iff'
theorem exists_smul_eq_mk_rep (v : V) (hv : v ≠ 0) : ∃ a : Kˣ, a • v = (mk K v hv).rep :=
(mk_eq_mk_iff K _ _ (rep_nonzero _) hv).1 (mk_rep _)
#align projectivization.exists_smul_eq_mk_rep Projectivization.exists_smul_eq_mk_rep
variable {K}
@[elab_as_elim]
theorem ind {P : ℙ K V → Prop} (h : ∀ (v : V) (h : v ≠ 0), P (mk K v h)) : ∀ p, P p :=
Quotient.ind' <| Subtype.rec <| h
#align projectivization.ind Projectivization.ind
@[simp]
theorem submodule_mk (v : V) (hv : v ≠ 0) : (mk K v hv).submodule = K ∙ v :=
rfl
#align projectivization.submodule_mk Projectivization.submodule_mk
| Mathlib/LinearAlgebra/Projectivization/Basic.lean | 137 | 139 | theorem submodule_eq (v : ℙ K V) : v.submodule = K ∙ v.rep := by |
conv_lhs => rw [← v.mk_rep]
rfl
|
import Mathlib.Analysis.NormedSpace.OperatorNorm.Bilinear
import Mathlib.Analysis.NormedSpace.OperatorNorm.NNNorm
suppress_compilation
open Bornology Metric Set Real
open Filter hiding map_smul
open scoped Classical NNReal Topology Uniformity
-- the `ₗ` subscript variables are for special cases about linear (as opposed to semilinear) maps
variable {𝕜 𝕜₂ 𝕜₃ E Eₗ F Fₗ G Gₗ 𝓕 : Type*}
variable [NormedAddCommGroup E] [NormedAddCommGroup F] [NormedAddCommGroup G]
[NormedAddCommGroup Fₗ]
variable [NontriviallyNormedField 𝕜] [NontriviallyNormedField 𝕜₂] [NontriviallyNormedField 𝕜₃]
[NormedSpace 𝕜 E] [NormedSpace 𝕜₂ F] [NormedSpace 𝕜₃ G] [NormedSpace 𝕜 Fₗ] (c : 𝕜)
{σ₁₂ : 𝕜 →+* 𝕜₂} {σ₂₃ : 𝕜₂ →+* 𝕜₃} (f g : E →SL[σ₁₂] F) (x y z : E)
namespace ContinuousLinearMap
section Completeness
variable {E' : Type*} [SeminormedAddCommGroup E'] [NormedSpace 𝕜 E'] [RingHomIsometric σ₁₂]
@[simps! (config := .asFn) apply]
def ofMemClosureImageCoeBounded (f : E' → F) {s : Set (E' →SL[σ₁₂] F)} (hs : IsBounded s)
(hf : f ∈ closure (((↑) : (E' →SL[σ₁₂] F) → E' → F) '' s)) : E' →SL[σ₁₂] F := by
-- `f` is a linear map due to `linearMapOfMemClosureRangeCoe`
refine (linearMapOfMemClosureRangeCoe f ?_).mkContinuousOfExistsBound ?_
· refine closure_mono (image_subset_iff.2 fun g _ => ?_) hf
exact ⟨g, rfl⟩
· -- We need to show that `f` has bounded norm. Choose `C` such that `‖g‖ ≤ C` for all `g ∈ s`.
rcases isBounded_iff_forall_norm_le.1 hs with ⟨C, hC⟩
-- Then `‖g x‖ ≤ C * ‖x‖` for all `g ∈ s`, `x : E`, hence `‖f x‖ ≤ C * ‖x‖` for all `x`.
have : ∀ x, IsClosed { g : E' → F | ‖g x‖ ≤ C * ‖x‖ } := fun x =>
isClosed_Iic.preimage (@continuous_apply E' (fun _ => F) _ x).norm
refine ⟨C, fun x => (this x).closure_subset_iff.2 (image_subset_iff.2 fun g hg => ?_) hf⟩
exact g.le_of_opNorm_le (hC _ hg) _
#align continuous_linear_map.of_mem_closure_image_coe_bounded ContinuousLinearMap.ofMemClosureImageCoeBounded
@[simps! (config := .asFn) apply]
def ofTendstoOfBoundedRange {α : Type*} {l : Filter α} [l.NeBot] (f : E' → F)
(g : α → E' →SL[σ₁₂] F) (hf : Tendsto (fun a x => g a x) l (𝓝 f))
(hg : IsBounded (Set.range g)) : E' →SL[σ₁₂] F :=
ofMemClosureImageCoeBounded f hg <| mem_closure_of_tendsto hf <|
eventually_of_forall fun _ => mem_image_of_mem _ <| Set.mem_range_self _
#align continuous_linear_map.of_tendsto_of_bounded_range ContinuousLinearMap.ofTendstoOfBoundedRange
theorem tendsto_of_tendsto_pointwise_of_cauchySeq {f : ℕ → E' →SL[σ₁₂] F} {g : E' →SL[σ₁₂] F}
(hg : Tendsto (fun n x => f n x) atTop (𝓝 g)) (hf : CauchySeq f) : Tendsto f atTop (𝓝 g) := by
rcases cauchySeq_iff_le_tendsto_0.1 hf with ⟨b, hb₀, hfb, hb_lim⟩
-- Since `b → 0`, it suffices to show that `‖f n x - g x‖ ≤ b n * ‖x‖` for all `n` and `x`.
suffices ∀ n x, ‖f n x - g x‖ ≤ b n * ‖x‖ from
tendsto_iff_norm_sub_tendsto_zero.2
(squeeze_zero (fun n => norm_nonneg _) (fun n => opNorm_le_bound _ (hb₀ n) (this n)) hb_lim)
intro n x
-- Note that `f m x → g x`, hence `‖f n x - f m x‖ → ‖f n x - g x‖` as `m → ∞`
have : Tendsto (fun m => ‖f n x - f m x‖) atTop (𝓝 ‖f n x - g x‖) :=
(tendsto_const_nhds.sub <| tendsto_pi_nhds.1 hg _).norm
-- Thus it suffices to verify `‖f n x - f m x‖ ≤ b n * ‖x‖` for `m ≥ n`.
refine le_of_tendsto this (eventually_atTop.2 ⟨n, fun m hm => ?_⟩)
-- This inequality follows from `‖f n - f m‖ ≤ b n`.
exact (f n - f m).le_of_opNorm_le (hfb _ _ _ le_rfl hm) _
#align continuous_linear_map.tendsto_of_tendsto_pointwise_of_cauchy_seq ContinuousLinearMap.tendsto_of_tendsto_pointwise_of_cauchySeq
instance [CompleteSpace F] : CompleteSpace (E' →SL[σ₁₂] F) := by
-- We show that every Cauchy sequence converges.
refine Metric.complete_of_cauchySeq_tendsto fun f hf => ?_
-- The evaluation at any point `v : E` is Cauchy.
have cau : ∀ v, CauchySeq fun n => f n v := fun v => hf.map (lipschitz_apply v).uniformContinuous
-- We assemble the limits points of those Cauchy sequences
-- (which exist as `F` is complete)
-- into a function which we call `G`.
choose G hG using fun v => cauchySeq_tendsto_of_complete (cau v)
-- Next, we show that this `G` is a continuous linear map.
-- This is done in `ContinuousLinearMap.ofTendstoOfBoundedRange`.
set Glin : E' →SL[σ₁₂] F :=
ofTendstoOfBoundedRange _ _ (tendsto_pi_nhds.mpr hG) hf.isBounded_range
-- Finally, `f n` converges to `Glin` in norm because of
-- `ContinuousLinearMap.tendsto_of_tendsto_pointwise_of_cauchySeq`
exact ⟨Glin, tendsto_of_tendsto_pointwise_of_cauchySeq (tendsto_pi_nhds.2 hG) hf⟩
theorem isCompact_closure_image_coe_of_bounded [ProperSpace F] {s : Set (E' →SL[σ₁₂] F)}
(hb : IsBounded s) : IsCompact (closure (((↑) : (E' →SL[σ₁₂] F) → E' → F) '' s)) :=
have : ∀ x, IsCompact (closure (apply' F σ₁₂ x '' s)) := fun x =>
((apply' F σ₁₂ x).lipschitz.isBounded_image hb).isCompact_closure
(isCompact_pi_infinite this).closure_of_subset
(image_subset_iff.2 fun _ hg _ => subset_closure <| mem_image_of_mem _ hg)
#align continuous_linear_map.is_compact_closure_image_coe_of_bounded ContinuousLinearMap.isCompact_closure_image_coe_of_bounded
theorem isCompact_image_coe_of_bounded_of_closed_image [ProperSpace F] {s : Set (E' →SL[σ₁₂] F)}
(hb : IsBounded s) (hc : IsClosed (((↑) : (E' →SL[σ₁₂] F) → E' → F) '' s)) :
IsCompact (((↑) : (E' →SL[σ₁₂] F) → E' → F) '' s) :=
hc.closure_eq ▸ isCompact_closure_image_coe_of_bounded hb
#align continuous_linear_map.is_compact_image_coe_of_bounded_of_closed_image ContinuousLinearMap.isCompact_image_coe_of_bounded_of_closed_image
theorem isClosed_image_coe_of_bounded_of_weak_closed {s : Set (E' →SL[σ₁₂] F)} (hb : IsBounded s)
(hc : ∀ f : E' →SL[σ₁₂] F,
(⇑f : E' → F) ∈ closure (((↑) : (E' →SL[σ₁₂] F) → E' → F) '' s) → f ∈ s) :
IsClosed (((↑) : (E' →SL[σ₁₂] F) → E' → F) '' s) :=
isClosed_of_closure_subset fun f hf =>
⟨ofMemClosureImageCoeBounded f hb hf, hc (ofMemClosureImageCoeBounded f hb hf) hf, rfl⟩
#align continuous_linear_map.is_closed_image_coe_of_bounded_of_weak_closed ContinuousLinearMap.isClosed_image_coe_of_bounded_of_weak_closed
theorem isCompact_image_coe_of_bounded_of_weak_closed [ProperSpace F] {s : Set (E' →SL[σ₁₂] F)}
(hb : IsBounded s) (hc : ∀ f : E' →SL[σ₁₂] F,
(⇑f : E' → F) ∈ closure (((↑) : (E' →SL[σ₁₂] F) → E' → F) '' s) → f ∈ s) :
IsCompact (((↑) : (E' →SL[σ₁₂] F) → E' → F) '' s) :=
isCompact_image_coe_of_bounded_of_closed_image hb <|
isClosed_image_coe_of_bounded_of_weak_closed hb hc
#align continuous_linear_map.is_compact_image_coe_of_bounded_of_weak_closed ContinuousLinearMap.isCompact_image_coe_of_bounded_of_weak_closed
| Mathlib/Analysis/NormedSpace/OperatorNorm/Completeness.lean | 157 | 165 | theorem is_weak_closed_closedBall (f₀ : E' →SL[σ₁₂] F) (r : ℝ) ⦃f : E' →SL[σ₁₂] F⦄
(hf : ⇑f ∈ closure (((↑) : (E' →SL[σ₁₂] F) → E' → F) '' closedBall f₀ r)) :
f ∈ closedBall f₀ r := by |
have hr : 0 ≤ r := nonempty_closedBall.1 (closure_nonempty_iff.1 ⟨_, hf⟩).of_image
refine mem_closedBall_iff_norm.2 (opNorm_le_bound _ hr fun x => ?_)
have : IsClosed { g : E' → F | ‖g x - f₀ x‖ ≤ r * ‖x‖ } :=
isClosed_Iic.preimage ((@continuous_apply E' (fun _ => F) _ x).sub continuous_const).norm
refine this.closure_subset_iff.2 (image_subset_iff.2 fun g hg => ?_) hf
exact (g - f₀).le_of_opNorm_le (mem_closedBall_iff_norm.1 hg) _
|
import Mathlib.Topology.UniformSpace.CompactConvergence
import Mathlib.Topology.UniformSpace.Equicontinuity
import Mathlib.Topology.UniformSpace.Equiv
open Set Filter Uniformity Topology Function UniformConvergence
variable {ι X Y α β : Type*} [TopologicalSpace X] [UniformSpace α] [UniformSpace β]
variable {F : ι → X → α} {G : ι → β → α}
theorem Equicontinuous.comap_uniformFun_eq [CompactSpace X] (F_eqcont : Equicontinuous F) :
(UniformFun.uniformSpace X α).comap F =
(Pi.uniformSpace _).comap F := by
-- The `≤` inequality is trivial
refine le_antisymm (UniformSpace.comap_mono UniformFun.uniformContinuous_toFun) ?_
-- A bit of rewriting to get a nice intermediate statement.
change comap _ _ ≤ comap _ _
simp_rw [Pi.uniformity, Filter.comap_iInf, comap_comap, Function.comp]
refine ((UniformFun.hasBasis_uniformity X α).comap (Prod.map F F)).ge_iff.mpr ?_
-- Core of the proof: we need to show that, for any entourage `U` in `α`,
-- the set `𝐓(U) := {(i,j) : ι × ι | ∀ x : X, (F i x, F j x) ∈ U}` belongs to the filter
-- `⨅ x, comap ((i,j) ↦ (F i x, F j x)) (𝓤 α)`.
-- In other words, we have to show that it contains a finite intersection of
-- sets of the form `𝐒(V, x) := {(i,j) : ι × ι | (F i x, F j x) ∈ V}` for some
-- `x : X` and `V ∈ 𝓤 α`.
intro U hU
-- We will do an `ε/3` argument, so we start by choosing a symmetric entourage `V ∈ 𝓤 α`
-- such that `V ○ V ○ V ⊆ U`.
rcases comp_comp_symm_mem_uniformity_sets hU with ⟨V, hV, Vsymm, hVU⟩
-- Set `Ω x := {y | ∀ i, (F i x, F i y) ∈ V}`. The equicontinuity of `F` guarantees that
-- each `Ω x` is a neighborhood of `x`.
let Ω x : Set X := {y | ∀ i, (F i x, F i y) ∈ V}
-- Hence, by compactness of `X`, we can find some `A ⊆ X` finite such that the `Ω a`s for `a ∈ A`
-- still cover `X`.
rcases CompactSpace.elim_nhds_subcover Ω (fun x ↦ F_eqcont x V hV) with ⟨A, Acover⟩
-- We now claim that `⋂ a ∈ A, 𝐒(V, a) ⊆ 𝐓(U)`.
have : (⋂ a ∈ A, {ij : ι × ι | (F ij.1 a, F ij.2 a) ∈ V}) ⊆
(Prod.map F F) ⁻¹' UniformFun.gen X α U := by
-- Given `(i, j) ∈ ⋂ a ∈ A, 𝐒(V, a)` and `x : X`, we have to prove that `(F i x, F j x) ∈ U`.
rintro ⟨i, j⟩ hij x
rw [mem_iInter₂] at hij
-- We know that `x ∈ Ω a` for some `a ∈ A`, so that both `(F i x, F i a)` and `(F j a, F j x)`
-- are in `V`.
rcases mem_iUnion₂.mp (Acover.symm.subset <| mem_univ x) with ⟨a, ha, hax⟩
-- Since `(i, j) ∈ 𝐒(V, a)` we also have `(F i a, F j a) ∈ V`, and finally we get
-- `(F i x, F j x) ∈ V ○ V ○ V ⊆ U`.
exact hVU (prod_mk_mem_compRel (prod_mk_mem_compRel
(Vsymm.mk_mem_comm.mp (hax i)) (hij a ha)) (hax j))
-- This completes the proof.
exact mem_of_superset
(A.iInter_mem_sets.mpr fun x _ ↦ mem_iInf_of_mem x <| preimage_mem_comap hV) this
lemma Equicontinuous.uniformInducing_uniformFun_iff_pi [UniformSpace ι] [CompactSpace X]
(F_eqcont : Equicontinuous F) :
UniformInducing (UniformFun.ofFun ∘ F) ↔ UniformInducing F := by
rw [uniformInducing_iff_uniformSpace, uniformInducing_iff_uniformSpace,
← F_eqcont.comap_uniformFun_eq]
rfl
lemma Equicontinuous.inducing_uniformFun_iff_pi [TopologicalSpace ι] [CompactSpace X]
(F_eqcont : Equicontinuous F) :
Inducing (UniformFun.ofFun ∘ F) ↔ Inducing F := by
rw [inducing_iff, inducing_iff]
change (_ = (UniformFun.uniformSpace X α |>.comap F |>.toTopologicalSpace)) ↔
(_ = (Pi.uniformSpace _ |>.comap F |>.toTopologicalSpace))
rw [F_eqcont.comap_uniformFun_eq]
theorem Equicontinuous.tendsto_uniformFun_iff_pi [CompactSpace X]
(F_eqcont : Equicontinuous F) (ℱ : Filter ι) (f : X → α) :
Tendsto (UniformFun.ofFun ∘ F) ℱ (𝓝 <| UniformFun.ofFun f) ↔
Tendsto F ℱ (𝓝 f) := by
-- Assume `ℱ` is non trivial.
rcases ℱ.eq_or_neBot with rfl | ℱ_ne
· simp
constructor <;> intro H
-- The forward direction is always true, the interesting part is the converse.
· exact UniformFun.uniformContinuous_toFun.continuous.tendsto _|>.comp H
-- To prove it, assume that `F` tends to `f` *pointwise* along `ℱ`.
· set S : Set (X → α) := closure (range F)
set 𝒢 : Filter S := comap (↑) (map F ℱ)
-- We would like to use `Equicontinuous.comap_uniformFun_eq`, but applying it to `F` is not
-- enough since `f` has no reason to be in the range of `F`.
-- Instead, we will apply it to the inclusion `(↑) : S → (X → α)` where `S` is the closure of
-- the range of `F` *for the product topology*.
-- We know that `S` is still equicontinuous...
have hS : S.Equicontinuous := closure' (by rwa [equicontinuous_iff_range] at F_eqcont)
continuous_id
-- ... hence, as announced, the product topology and uniform convergence topology
-- coincide on `S`.
have ind : Inducing (UniformFun.ofFun ∘ (↑) : S → X →ᵤ α) :=
hS.inducing_uniformFun_iff_pi.mpr ⟨rfl⟩
-- By construction, `f` is in `S`.
have f_mem : f ∈ S := mem_closure_of_tendsto H range_mem_map
-- To conclude, we just have to translate our hypothesis and goal as statements about
-- `S`, on which we know the two topologies at play coincide.
-- For this, we define a filter on `S` by `𝒢 := comap (↑) (map F ℱ)`, and note that
-- it satisfies `map (↑) 𝒢 = map F ℱ`. Thus, both our hypothesis and our goal
-- can be rewritten as `𝒢 ≤ 𝓝 f`, where the neighborhood filter in the RHS corresponds
-- to one of the two topologies at play on `S`. Since they coincide, we are done.
have h𝒢ℱ : map (↑) 𝒢 = map F ℱ := Filter.map_comap_of_mem
(Subtype.range_coe ▸ mem_of_superset range_mem_map subset_closure)
have H' : Tendsto id 𝒢 (𝓝 ⟨f, f_mem⟩) := by
rwa [tendsto_id', nhds_induced, ← map_le_iff_le_comap, h𝒢ℱ]
rwa [ind.tendsto_nhds_iff, comp_id, ← tendsto_map'_iff, h𝒢ℱ] at H'
theorem EquicontinuousOn.comap_uniformOnFun_eq {𝔖 : Set (Set X)} (𝔖_compact : ∀ K ∈ 𝔖, IsCompact K)
(F_eqcont : ∀ K ∈ 𝔖, EquicontinuousOn F K) :
(UniformOnFun.uniformSpace X α 𝔖).comap F =
(Pi.uniformSpace _).comap ((⋃₀ 𝔖).restrict ∘ F) := by
-- Recall that the uniform structure on `X →ᵤ[𝔖] α` is the one induced by all the maps
-- `K.restrict : (X →ᵤ[𝔖] α) → (K →ᵤ α)` for `K ∈ 𝔖`. Its pullback along `F`, which is
-- the LHS of our goal, is thus the uniform structure induced by the maps
-- `K.restrict ∘ F : ι → (K →ᵤ α)` for `K ∈ 𝔖`.
have H1 : (UniformOnFun.uniformSpace X α 𝔖).comap F =
⨅ (K ∈ 𝔖), (UniformFun.uniformSpace _ _).comap (K.restrict ∘ F) := by
simp_rw [UniformOnFun.uniformSpace, UniformSpace.comap_iInf, ← UniformSpace.comap_comap,
UniformFun.ofFun, Equiv.coe_fn_mk, UniformOnFun.toFun, UniformOnFun.ofFun, Function.comp,
UniformFun, Equiv.coe_fn_symm_mk]
-- Now, note that a similar fact is true for the uniform structure on `X → α` induced by
-- the map `(⋃₀ 𝔖).restrict : (X → α) → ((⋃₀ 𝔖) → α)`: it is equal to the one induced by
-- all maps `K.restrict : (X → α) → (K → α)` for `K ∈ 𝔖`, which means that the RHS of our
-- goal is the uniform structure induced by the maps `K.restrict ∘ F : ι → (K → α)` for `K ∈ 𝔖`.
have H2 : (Pi.uniformSpace _).comap ((⋃₀ 𝔖).restrict ∘ F) =
⨅ (K ∈ 𝔖), (Pi.uniformSpace _).comap (K.restrict ∘ F) := by
simp_rw [UniformSpace.comap_comap, Pi.uniformSpace_comap_restrict_sUnion (fun _ ↦ α) 𝔖,
UniformSpace.comap_iInf]
-- But, for `K ∈ 𝔖` fixed, we know that the uniform structures of `K →ᵤ α` and `K → α`
-- induce, via the equicontinuous family `K.restrict ∘ F`, the same uniform structure on `ι`.
have H3 : ∀ K ∈ 𝔖, (UniformFun.uniformSpace K α).comap (K.restrict ∘ F) =
(Pi.uniformSpace _).comap (K.restrict ∘ F) := fun K hK ↦ by
have : CompactSpace K := isCompact_iff_compactSpace.mp (𝔖_compact K hK)
exact (equicontinuous_restrict_iff _ |>.mpr <| F_eqcont K hK).comap_uniformFun_eq
-- Combining these three facts completes the proof.
simp_rw [H1, H2, iInf_congr fun K ↦ iInf_congr fun hK ↦ H3 K hK]
lemma EquicontinuousOn.uniformInducing_uniformOnFun_iff_pi' [UniformSpace ι]
{𝔖 : Set (Set X)} (𝔖_compact : ∀ K ∈ 𝔖, IsCompact K)
(F_eqcont : ∀ K ∈ 𝔖, EquicontinuousOn F K) :
UniformInducing (UniformOnFun.ofFun 𝔖 ∘ F) ↔
UniformInducing ((⋃₀ 𝔖).restrict ∘ F) := by
rw [uniformInducing_iff_uniformSpace, uniformInducing_iff_uniformSpace,
← EquicontinuousOn.comap_uniformOnFun_eq 𝔖_compact F_eqcont]
rfl
lemma EquicontinuousOn.uniformInducing_uniformOnFun_iff_pi [UniformSpace ι]
{𝔖 : Set (Set X)} (𝔖_covers : ⋃₀ 𝔖 = univ) (𝔖_compact : ∀ K ∈ 𝔖, IsCompact K)
(F_eqcont : ∀ K ∈ 𝔖, EquicontinuousOn F K) :
UniformInducing (UniformOnFun.ofFun 𝔖 ∘ F) ↔
UniformInducing F := by
rw [eq_univ_iff_forall] at 𝔖_covers
-- This obviously follows from the previous lemma, we formalize it by going through the
-- isomorphism of uniform spaces between `(⋃₀ 𝔖) → α` and `X → α`.
let φ : ((⋃₀ 𝔖) → α) ≃ᵤ (X → α) := UniformEquiv.piCongrLeft (β := fun _ ↦ α)
(Equiv.subtypeUnivEquiv 𝔖_covers)
rw [EquicontinuousOn.uniformInducing_uniformOnFun_iff_pi' 𝔖_compact F_eqcont,
show restrict (⋃₀ 𝔖) ∘ F = φ.symm ∘ F by rfl]
exact ⟨fun H ↦ φ.uniformInducing.comp H, fun H ↦ φ.symm.uniformInducing.comp H⟩
lemma EquicontinuousOn.inducing_uniformOnFun_iff_pi' [TopologicalSpace ι]
{𝔖 : Set (Set X)} (𝔖_compact : ∀ K ∈ 𝔖, IsCompact K)
(F_eqcont : ∀ K ∈ 𝔖, EquicontinuousOn F K) :
Inducing (UniformOnFun.ofFun 𝔖 ∘ F) ↔
Inducing ((⋃₀ 𝔖).restrict ∘ F) := by
rw [inducing_iff, inducing_iff]
change (_ = ((UniformOnFun.uniformSpace X α 𝔖).comap F).toTopologicalSpace) ↔
(_ = ((Pi.uniformSpace _).comap ((⋃₀ 𝔖).restrict ∘ F)).toTopologicalSpace)
rw [← EquicontinuousOn.comap_uniformOnFun_eq 𝔖_compact F_eqcont]
lemma EquicontinuousOn.inducing_uniformOnFun_iff_pi [TopologicalSpace ι]
{𝔖 : Set (Set X)} (𝔖_covers : ⋃₀ 𝔖 = univ) (𝔖_compact : ∀ K ∈ 𝔖, IsCompact K)
(F_eqcont : ∀ K ∈ 𝔖, EquicontinuousOn F K) :
Inducing (UniformOnFun.ofFun 𝔖 ∘ F) ↔
Inducing F := by
rw [eq_univ_iff_forall] at 𝔖_covers
-- This obviously follows from the previous lemma, we formalize it by going through the
-- homeomorphism between `(⋃₀ 𝔖) → α` and `X → α`.
let φ : ((⋃₀ 𝔖) → α) ≃ₜ (X → α) := Homeomorph.piCongrLeft (Y := fun _ ↦ α)
(Equiv.subtypeUnivEquiv 𝔖_covers)
rw [EquicontinuousOn.inducing_uniformOnFun_iff_pi' 𝔖_compact F_eqcont,
show restrict (⋃₀ 𝔖) ∘ F = φ.symm ∘ F by rfl]
exact ⟨fun H ↦ φ.inducing.comp H, fun H ↦ φ.symm.inducing.comp H⟩
-- TODO: find a way to factor common elements of this proof and the proof of
-- `EquicontinuousOn.comap_uniformOnFun_eq`
theorem EquicontinuousOn.tendsto_uniformOnFun_iff_pi'
{𝔖 : Set (Set X)} (𝔖_compact : ∀ K ∈ 𝔖, IsCompact K)
(F_eqcont : ∀ K ∈ 𝔖, EquicontinuousOn F K) (ℱ : Filter ι) (f : X → α) :
Tendsto (UniformOnFun.ofFun 𝔖 ∘ F) ℱ (𝓝 <| UniformOnFun.ofFun 𝔖 f) ↔
Tendsto ((⋃₀ 𝔖).restrict ∘ F) ℱ (𝓝 <| (⋃₀ 𝔖).restrict f) := by
-- Recall that the uniform structure on `X →ᵤ[𝔖] α` is the one induced by all the maps
-- `K.restrict : (X →ᵤ[𝔖] α) → (K →ᵤ α)` for `K ∈ 𝔖`.
-- Similarly, the uniform structure on `X → α` induced by the map
-- `(⋃₀ 𝔖).restrict : (X → α) → ((⋃₀ 𝔖) → α)` is equal to the one induced by
-- all maps `K.restrict : (X → α) → (K → α)` for `K ∈ 𝔖`
-- Thus, we just have to compare the two sides of our goal when restricted to some
-- `K ∈ 𝔖`, where we can apply `Equicontinuous.tendsto_uniformFun_iff_pi`.
rw [← Filter.tendsto_comap_iff (g := (⋃₀ 𝔖).restrict), ← nhds_induced]
simp_rw [UniformOnFun.topologicalSpace_eq, Pi.induced_restrict_sUnion 𝔖 (π := fun _ ↦ α),
_root_.nhds_iInf, nhds_induced, tendsto_iInf, tendsto_comap_iff]
congrm ∀ K (hK : K ∈ 𝔖), ?_
have : CompactSpace K := isCompact_iff_compactSpace.mp (𝔖_compact K hK)
rw [← (equicontinuous_restrict_iff _ |>.mpr <| F_eqcont K hK).tendsto_uniformFun_iff_pi]
rfl
theorem EquicontinuousOn.tendsto_uniformOnFun_iff_pi
{𝔖 : Set (Set X)} (𝔖_compact : ∀ K ∈ 𝔖, IsCompact K) (𝔖_covers : ⋃₀ 𝔖 = univ)
(F_eqcont : ∀ K ∈ 𝔖, EquicontinuousOn F K) (ℱ : Filter ι) (f : X → α) :
Tendsto (UniformOnFun.ofFun 𝔖 ∘ F) ℱ (𝓝 <| UniformOnFun.ofFun 𝔖 f) ↔
Tendsto F ℱ (𝓝 f) := by
rw [eq_univ_iff_forall] at 𝔖_covers
let φ : ((⋃₀ 𝔖) → α) ≃ₜ (X → α) := Homeomorph.piCongrLeft (Y := fun _ ↦ α)
(Equiv.subtypeUnivEquiv 𝔖_covers)
rw [EquicontinuousOn.tendsto_uniformOnFun_iff_pi' 𝔖_compact F_eqcont,
show restrict (⋃₀ 𝔖) ∘ F = φ.symm ∘ F by rfl, show restrict (⋃₀ 𝔖) f = φ.symm f by rfl,
φ.symm.inducing.tendsto_nhds_iff]
theorem EquicontinuousOn.isClosed_range_pi_of_uniformOnFun'
{𝔖 : Set (Set X)} (𝔖_compact : ∀ K ∈ 𝔖, IsCompact K)
(F_eqcont : ∀ K ∈ 𝔖, EquicontinuousOn F K)
(H : IsClosed (range <| UniformOnFun.ofFun 𝔖 ∘ F)) :
IsClosed (range <| (⋃₀ 𝔖).restrict ∘ F) := by
-- Do we have no equivalent of `nontriviality`?
rcases isEmpty_or_nonempty α with _ | _
· simp [isClosed_discrete]
-- This follows from the previous lemmas and the characterization of the closure using filters.
simp_rw [isClosed_iff_clusterPt, ← Filter.map_top, ← mapClusterPt_def,
mapClusterPt_iff_ultrafilter, range_comp, Subtype.coe_injective.surjective_comp_right.forall,
← restrict_eq, ← EquicontinuousOn.tendsto_uniformOnFun_iff_pi' 𝔖_compact F_eqcont]
exact fun f ⟨u, _, hu⟩ ↦ mem_image_of_mem _ <| H.mem_of_tendsto hu <|
eventually_of_forall mem_range_self
theorem EquicontinuousOn.isClosed_range_uniformOnFun_iff_pi
{𝔖 : Set (Set X)} (𝔖_compact : ∀ K ∈ 𝔖, IsCompact K) (𝔖_covers : ⋃₀ 𝔖 = univ)
(F_eqcont : ∀ K ∈ 𝔖, EquicontinuousOn F K) :
IsClosed (range <| UniformOnFun.ofFun 𝔖 ∘ F) ↔
IsClosed (range F) := by
-- This follows from the previous lemmas and the characterization of the closure using filters.
simp_rw [isClosed_iff_clusterPt, ← Filter.map_top, ← mapClusterPt_def,
mapClusterPt_iff_ultrafilter, range_comp, (UniformOnFun.ofFun 𝔖).surjective.forall,
← EquicontinuousOn.tendsto_uniformOnFun_iff_pi 𝔖_compact 𝔖_covers F_eqcont,
(UniformOnFun.ofFun 𝔖).injective.mem_set_image]
alias ⟨EquicontinuousOn.isClosed_range_pi_of_uniformOnFun, _⟩ :=
EquicontinuousOn.isClosed_range_uniformOnFun_iff_pi
| Mathlib/Topology/UniformSpace/Ascoli.lean | 413 | 436 | theorem ArzelaAscoli.compactSpace_of_closed_inducing' [TopologicalSpace ι] {𝔖 : Set (Set X)}
(𝔖_compact : ∀ K ∈ 𝔖, IsCompact K) (F_ind : Inducing (UniformOnFun.ofFun 𝔖 ∘ F))
(F_cl : IsClosed <| range <| UniformOnFun.ofFun 𝔖 ∘ F)
(F_eqcont : ∀ K ∈ 𝔖, EquicontinuousOn F K)
(F_pointwiseCompact : ∀ K ∈ 𝔖, ∀ x ∈ K, ∃ Q, IsCompact Q ∧ ∀ i, F i x ∈ Q) :
CompactSpace ι := by |
-- By equicontinuity, we know that the topology on `ι` is also the one induced by
-- `restrict (⋃₀ 𝔖) ∘ F`.
have : Inducing (restrict (⋃₀ 𝔖) ∘ F) := by
rwa [EquicontinuousOn.inducing_uniformOnFun_iff_pi' 𝔖_compact F_eqcont] at F_ind
-- Thus, we just have to check that the range of this map is compact.
rw [← isCompact_univ_iff, this.isCompact_iff, image_univ]
-- But then we are working in a product space, where compactness can easily be proven using
-- Tykhonov's theorem! More precisely, for each `x ∈ ⋃₀ 𝔖`, choose a compact set `Q x`
-- containing all `F i x`s.
rw [← forall_sUnion] at F_pointwiseCompact
choose! Q Q_compact F_in_Q using F_pointwiseCompact
-- Notice that, since the range of `F` is closed in `X →ᵤ[𝔖] α`, equicontinuity ensures that
-- the range of `(⋃₀ 𝔖).restrict ∘ F` is still closed in the product topology.
-- But it's contained in the product of the `Q x`s, which is compact by Tykhonov, hence
-- it is compact as well.
refine IsCompact.of_isClosed_subset (isCompact_univ_pi fun x ↦ Q_compact x x.2)
(EquicontinuousOn.isClosed_range_pi_of_uniformOnFun' 𝔖_compact F_eqcont F_cl)
(range_subset_iff.mpr fun i x _ ↦ F_in_Q x x.2 i)
|
import Mathlib.Algebra.Group.Submonoid.Pointwise
#align_import group_theory.submonoid.inverses from "leanprover-community/mathlib"@"59694bd07f0a39c5beccba34bd9f413a160782bf"
variable {M : Type*}
namespace Submonoid
@[to_additive]
noncomputable instance [Monoid M] : Group (IsUnit.submonoid M) :=
{ inferInstanceAs (Monoid (IsUnit.submonoid M)) with
inv := fun x ↦ ⟨x.prop.unit⁻¹.val, x.prop.unit⁻¹.isUnit⟩
mul_left_inv := fun x ↦
Subtype.ext ((Units.val_mul x.prop.unit⁻¹ _).trans x.prop.unit.inv_val) }
@[to_additive]
noncomputable instance [CommMonoid M] : CommGroup (IsUnit.submonoid M) :=
{ inferInstanceAs (Group (IsUnit.submonoid M)) with
mul_comm := fun a b ↦ by convert mul_comm a b }
@[to_additive]
theorem IsUnit.Submonoid.coe_inv [Monoid M] (x : IsUnit.submonoid M) :
↑x⁻¹ = (↑x.prop.unit⁻¹ : M) :=
rfl
#align submonoid.is_unit.submonoid.coe_inv Submonoid.IsUnit.Submonoid.coe_inv
#align add_submonoid.is_unit.submonoid.coe_neg AddSubmonoid.IsUnit.Submonoid.coe_neg
section Monoid
variable [Monoid M] (S : Submonoid M)
@[to_additive
"`S.leftNeg` is the additive submonoid containing all the left additive inverses of `S`."]
def leftInv : Submonoid M where
carrier := { x : M | ∃ y : S, x * y = 1 }
one_mem' := ⟨1, mul_one 1⟩
mul_mem' := fun {a} _b ⟨a', ha⟩ ⟨b', hb⟩ ↦
⟨b' * a', by simp only [coe_mul, ← mul_assoc, mul_assoc a, hb, mul_one, ha]⟩
#align submonoid.left_inv Submonoid.leftInv
#align add_submonoid.left_neg AddSubmonoid.leftNeg
@[to_additive]
| Mathlib/GroupTheory/Submonoid/Inverses.lean | 73 | 76 | theorem leftInv_leftInv_le : S.leftInv.leftInv ≤ S := by |
rintro x ⟨⟨y, z, h₁⟩, h₂ : x * y = 1⟩
convert z.prop
rw [← mul_one x, ← h₁, ← mul_assoc, h₂, one_mul]
|
import Mathlib.Data.Finset.Card
#align_import data.finset.prod from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853"
assert_not_exists MonoidWithZero
open Multiset
variable {α β γ : Type*}
namespace Finset
section Prod
variable {s s' : Finset α} {t t' : Finset β} {a : α} {b : β}
protected def product (s : Finset α) (t : Finset β) : Finset (α × β) :=
⟨_, s.nodup.product t.nodup⟩
#align finset.product Finset.product
instance instSProd : SProd (Finset α) (Finset β) (Finset (α × β)) where
sprod := Finset.product
@[simp]
theorem product_val : (s ×ˢ t).1 = s.1 ×ˢ t.1 :=
rfl
#align finset.product_val Finset.product_val
@[simp]
theorem mem_product {p : α × β} : p ∈ s ×ˢ t ↔ p.1 ∈ s ∧ p.2 ∈ t :=
Multiset.mem_product
#align finset.mem_product Finset.mem_product
theorem mk_mem_product (ha : a ∈ s) (hb : b ∈ t) : (a, b) ∈ s ×ˢ t :=
mem_product.2 ⟨ha, hb⟩
#align finset.mk_mem_product Finset.mk_mem_product
@[simp, norm_cast]
theorem coe_product (s : Finset α) (t : Finset β) :
(↑(s ×ˢ t) : Set (α × β)) = (s : Set α) ×ˢ t :=
Set.ext fun _ => Finset.mem_product
#align finset.coe_product Finset.coe_product
theorem subset_product_image_fst [DecidableEq α] : (s ×ˢ t).image Prod.fst ⊆ s := fun i => by
simp (config := { contextual := true }) [mem_image]
#align finset.subset_product_image_fst Finset.subset_product_image_fst
theorem subset_product_image_snd [DecidableEq β] : (s ×ˢ t).image Prod.snd ⊆ t := fun i => by
simp (config := { contextual := true }) [mem_image]
#align finset.subset_product_image_snd Finset.subset_product_image_snd
theorem product_image_fst [DecidableEq α] (ht : t.Nonempty) : (s ×ˢ t).image Prod.fst = s := by
ext i
simp [mem_image, ht.exists_mem]
#align finset.product_image_fst Finset.product_image_fst
theorem product_image_snd [DecidableEq β] (ht : s.Nonempty) : (s ×ˢ t).image Prod.snd = t := by
ext i
simp [mem_image, ht.exists_mem]
#align finset.product_image_snd Finset.product_image_snd
theorem subset_product [DecidableEq α] [DecidableEq β] {s : Finset (α × β)} :
s ⊆ s.image Prod.fst ×ˢ s.image Prod.snd := fun _ hp =>
mem_product.2 ⟨mem_image_of_mem _ hp, mem_image_of_mem _ hp⟩
#align finset.subset_product Finset.subset_product
@[gcongr]
theorem product_subset_product (hs : s ⊆ s') (ht : t ⊆ t') : s ×ˢ t ⊆ s' ×ˢ t' := fun ⟨_, _⟩ h =>
mem_product.2 ⟨hs (mem_product.1 h).1, ht (mem_product.1 h).2⟩
#align finset.product_subset_product Finset.product_subset_product
@[gcongr]
theorem product_subset_product_left (hs : s ⊆ s') : s ×ˢ t ⊆ s' ×ˢ t :=
product_subset_product hs (Subset.refl _)
#align finset.product_subset_product_left Finset.product_subset_product_left
@[gcongr]
theorem product_subset_product_right (ht : t ⊆ t') : s ×ˢ t ⊆ s ×ˢ t' :=
product_subset_product (Subset.refl _) ht
#align finset.product_subset_product_right Finset.product_subset_product_right
theorem map_swap_product (s : Finset α) (t : Finset β) :
(t ×ˢ s).map ⟨Prod.swap, Prod.swap_injective⟩ = s ×ˢ t :=
coe_injective <| by
push_cast
exact Set.image_swap_prod _ _
#align finset.map_swap_product Finset.map_swap_product
@[simp]
theorem image_swap_product [DecidableEq (α × β)] (s : Finset α) (t : Finset β) :
(t ×ˢ s).image Prod.swap = s ×ˢ t :=
coe_injective <| by
push_cast
exact Set.image_swap_prod _ _
#align finset.image_swap_product Finset.image_swap_product
theorem product_eq_biUnion [DecidableEq (α × β)] (s : Finset α) (t : Finset β) :
s ×ˢ t = s.biUnion fun a => t.image fun b => (a, b) :=
ext fun ⟨x, y⟩ => by
simp only [mem_product, mem_biUnion, mem_image, exists_prop, Prod.mk.inj_iff, and_left_comm,
exists_and_left, exists_eq_right, exists_eq_left]
#align finset.product_eq_bUnion Finset.product_eq_biUnion
theorem product_eq_biUnion_right [DecidableEq (α × β)] (s : Finset α) (t : Finset β) :
s ×ˢ t = t.biUnion fun b => s.image fun a => (a, b) :=
ext fun ⟨x, y⟩ => by
simp only [mem_product, mem_biUnion, mem_image, exists_prop, Prod.mk.inj_iff, and_left_comm,
exists_and_left, exists_eq_right, exists_eq_left]
#align finset.product_eq_bUnion_right Finset.product_eq_biUnion_right
@[simp]
theorem product_biUnion [DecidableEq γ] (s : Finset α) (t : Finset β) (f : α × β → Finset γ) :
(s ×ˢ t).biUnion f = s.biUnion fun a => t.biUnion fun b => f (a, b) := by
classical simp_rw [product_eq_biUnion, biUnion_biUnion, image_biUnion]
#align finset.product_bUnion Finset.product_biUnion
@[simp]
theorem card_product (s : Finset α) (t : Finset β) : card (s ×ˢ t) = card s * card t :=
Multiset.card_product _ _
#align finset.card_product Finset.card_product
lemma nontrivial_prod_iff : (s ×ˢ t).Nontrivial ↔
s.Nonempty ∧ t.Nonempty ∧ (s.Nontrivial ∨ t.Nontrivial) := by
simp_rw [← card_pos, ← one_lt_card_iff_nontrivial, card_product]; apply Nat.one_lt_mul_iff
theorem filter_product (p : α → Prop) (q : β → Prop) [DecidablePred p] [DecidablePred q] :
((s ×ˢ t).filter fun x : α × β => p x.1 ∧ q x.2) = s.filter p ×ˢ t.filter q := by
ext ⟨a, b⟩
simp [mem_filter, mem_product, decide_eq_true_eq, and_comm, and_left_comm, and_assoc]
#align finset.filter_product Finset.filter_product
theorem filter_product_left (p : α → Prop) [DecidablePred p] :
((s ×ˢ t).filter fun x : α × β => p x.1) = s.filter p ×ˢ t := by
simpa using filter_product p fun _ => true
#align finset.filter_product_left Finset.filter_product_left
theorem filter_product_right (q : β → Prop) [DecidablePred q] :
((s ×ˢ t).filter fun x : α × β => q x.2) = s ×ˢ t.filter q := by
simpa using filter_product (fun _ : α => true) q
#align finset.filter_product_right Finset.filter_product_right
theorem filter_product_card (s : Finset α) (t : Finset β) (p : α → Prop) (q : β → Prop)
[DecidablePred p] [DecidablePred q] :
((s ×ˢ t).filter fun x : α × β => (p x.1) = (q x.2)).card =
(s.filter p).card * (t.filter q).card +
(s.filter (¬ p ·)).card * (t.filter (¬ q ·)).card := by
classical
rw [← card_product, ← card_product, ← filter_product, ← filter_product, ← card_union_of_disjoint]
· apply congr_arg
ext ⟨a, b⟩
simp only [filter_union_right, mem_filter, mem_product]
constructor <;> intro h <;> use h.1
· simp only [h.2, Function.comp_apply, Decidable.em, and_self]
· revert h
simp only [Function.comp_apply, and_imp]
rintro _ _ (_|_) <;> simp [*]
· apply Finset.disjoint_filter_filter'
exact (disjoint_compl_right.inf_left _).inf_right _
#align finset.filter_product_card Finset.filter_product_card
@[simp]
theorem empty_product (t : Finset β) : (∅ : Finset α) ×ˢ t = ∅ :=
rfl
#align finset.empty_product Finset.empty_product
@[simp]
theorem product_empty (s : Finset α) : s ×ˢ (∅ : Finset β) = ∅ :=
eq_empty_of_forall_not_mem fun _ h => not_mem_empty _ (Finset.mem_product.1 h).2
#align finset.product_empty Finset.product_empty
theorem Nonempty.product (hs : s.Nonempty) (ht : t.Nonempty) : (s ×ˢ t).Nonempty :=
let ⟨x, hx⟩ := hs
let ⟨y, hy⟩ := ht
⟨(x, y), mem_product.2 ⟨hx, hy⟩⟩
#align finset.nonempty.product Finset.Nonempty.product
theorem Nonempty.fst (h : (s ×ˢ t).Nonempty) : s.Nonempty :=
let ⟨xy, hxy⟩ := h
⟨xy.1, (mem_product.1 hxy).1⟩
#align finset.nonempty.fst Finset.Nonempty.fst
theorem Nonempty.snd (h : (s ×ˢ t).Nonempty) : t.Nonempty :=
let ⟨xy, hxy⟩ := h
⟨xy.2, (mem_product.1 hxy).2⟩
#align finset.nonempty.snd Finset.Nonempty.snd
@[simp, aesop safe apply (rule_sets := [finsetNonempty])]
theorem nonempty_product : (s ×ˢ t).Nonempty ↔ s.Nonempty ∧ t.Nonempty :=
⟨fun h => ⟨h.fst, h.snd⟩, fun h => h.1.product h.2⟩
#align finset.nonempty_product Finset.nonempty_product
@[simp]
theorem product_eq_empty {s : Finset α} {t : Finset β} : s ×ˢ t = ∅ ↔ s = ∅ ∨ t = ∅ := by
rw [← not_nonempty_iff_eq_empty, nonempty_product, not_and_or, not_nonempty_iff_eq_empty,
not_nonempty_iff_eq_empty]
#align finset.product_eq_empty Finset.product_eq_empty
@[simp]
theorem singleton_product {a : α} :
({a} : Finset α) ×ˢ t = t.map ⟨Prod.mk a, Prod.mk.inj_left _⟩ := by
ext ⟨x, y⟩
simp [and_left_comm, eq_comm]
#align finset.singleton_product Finset.singleton_product
@[simp]
theorem product_singleton {b : β} : s ×ˢ {b} = s.map ⟨fun i => (i, b), Prod.mk.inj_right _⟩ := by
ext ⟨x, y⟩
simp [and_left_comm, eq_comm]
#align finset.product_singleton Finset.product_singleton
theorem singleton_product_singleton {a : α} {b : β} :
({a} ×ˢ {b} : Finset _) = {(a, b)} := by
simp only [product_singleton, Function.Embedding.coeFn_mk, map_singleton]
#align finset.singleton_product_singleton Finset.singleton_product_singleton
@[simp]
theorem union_product [DecidableEq α] [DecidableEq β] : (s ∪ s') ×ˢ t = s ×ˢ t ∪ s' ×ˢ t := by
ext ⟨x, y⟩
simp only [or_and_right, mem_union, mem_product]
#align finset.union_product Finset.union_product
@[simp]
theorem product_union [DecidableEq α] [DecidableEq β] : s ×ˢ (t ∪ t') = s ×ˢ t ∪ s ×ˢ t' := by
ext ⟨x, y⟩
simp only [and_or_left, mem_union, mem_product]
#align finset.product_union Finset.product_union
theorem inter_product [DecidableEq α] [DecidableEq β] : (s ∩ s') ×ˢ t = s ×ˢ t ∩ s' ×ˢ t := by
ext ⟨x, y⟩
simp only [← and_and_right, mem_inter, mem_product]
#align finset.inter_product Finset.inter_product
| Mathlib/Data/Finset/Prod.lean | 260 | 262 | theorem product_inter [DecidableEq α] [DecidableEq β] : s ×ˢ (t ∩ t') = s ×ˢ t ∩ s ×ˢ t' := by |
ext ⟨x, y⟩
simp only [← and_and_left, mem_inter, mem_product]
|
import Mathlib.Combinatorics.SimpleGraph.Subgraph
import Mathlib.Data.List.Rotate
#align_import combinatorics.simple_graph.connectivity from "leanprover-community/mathlib"@"b99e2d58a5e6861833fa8de11e51a81144258db4"
open Function
universe u v w
namespace SimpleGraph
variable {V : Type u} {V' : Type v} {V'' : Type w}
variable (G : SimpleGraph V) (G' : SimpleGraph V') (G'' : SimpleGraph V'')
inductive Walk : V → V → Type u
| nil {u : V} : Walk u u
| cons {u v w : V} (h : G.Adj u v) (p : Walk v w) : Walk u w
deriving DecidableEq
#align simple_graph.walk SimpleGraph.Walk
attribute [refl] Walk.nil
@[simps]
instance Walk.instInhabited (v : V) : Inhabited (G.Walk v v) := ⟨Walk.nil⟩
#align simple_graph.walk.inhabited SimpleGraph.Walk.instInhabited
@[match_pattern, reducible]
def Adj.toWalk {G : SimpleGraph V} {u v : V} (h : G.Adj u v) : G.Walk u v :=
Walk.cons h Walk.nil
#align simple_graph.adj.to_walk SimpleGraph.Adj.toWalk
namespace Walk
variable {G}
@[match_pattern]
abbrev nil' (u : V) : G.Walk u u := Walk.nil
#align simple_graph.walk.nil' SimpleGraph.Walk.nil'
@[match_pattern]
abbrev cons' (u v w : V) (h : G.Adj u v) (p : G.Walk v w) : G.Walk u w := Walk.cons h p
#align simple_graph.walk.cons' SimpleGraph.Walk.cons'
protected def copy {u v u' v'} (p : G.Walk u v) (hu : u = u') (hv : v = v') : G.Walk u' v' :=
hu ▸ hv ▸ p
#align simple_graph.walk.copy SimpleGraph.Walk.copy
@[simp]
theorem copy_rfl_rfl {u v} (p : G.Walk u v) : p.copy rfl rfl = p := rfl
#align simple_graph.walk.copy_rfl_rfl SimpleGraph.Walk.copy_rfl_rfl
@[simp]
theorem copy_copy {u v u' v' u'' v''} (p : G.Walk u v)
(hu : u = u') (hv : v = v') (hu' : u' = u'') (hv' : v' = v'') :
(p.copy hu hv).copy hu' hv' = p.copy (hu.trans hu') (hv.trans hv') := by
subst_vars
rfl
#align simple_graph.walk.copy_copy SimpleGraph.Walk.copy_copy
@[simp]
theorem copy_nil {u u'} (hu : u = u') : (Walk.nil : G.Walk u u).copy hu hu = Walk.nil := by
subst_vars
rfl
#align simple_graph.walk.copy_nil SimpleGraph.Walk.copy_nil
theorem copy_cons {u v w u' w'} (h : G.Adj u v) (p : G.Walk v w) (hu : u = u') (hw : w = w') :
(Walk.cons h p).copy hu hw = Walk.cons (hu ▸ h) (p.copy rfl hw) := by
subst_vars
rfl
#align simple_graph.walk.copy_cons SimpleGraph.Walk.copy_cons
@[simp]
theorem cons_copy {u v w v' w'} (h : G.Adj u v) (p : G.Walk v' w') (hv : v' = v) (hw : w' = w) :
Walk.cons h (p.copy hv hw) = (Walk.cons (hv ▸ h) p).copy rfl hw := by
subst_vars
rfl
#align simple_graph.walk.cons_copy SimpleGraph.Walk.cons_copy
theorem exists_eq_cons_of_ne {u v : V} (hne : u ≠ v) :
∀ (p : G.Walk u v), ∃ (w : V) (h : G.Adj u w) (p' : G.Walk w v), p = cons h p'
| nil => (hne rfl).elim
| cons h p' => ⟨_, h, p', rfl⟩
#align simple_graph.walk.exists_eq_cons_of_ne SimpleGraph.Walk.exists_eq_cons_of_ne
def length {u v : V} : G.Walk u v → ℕ
| nil => 0
| cons _ q => q.length.succ
#align simple_graph.walk.length SimpleGraph.Walk.length
@[trans]
def append {u v w : V} : G.Walk u v → G.Walk v w → G.Walk u w
| nil, q => q
| cons h p, q => cons h (p.append q)
#align simple_graph.walk.append SimpleGraph.Walk.append
def concat {u v w : V} (p : G.Walk u v) (h : G.Adj v w) : G.Walk u w := p.append (cons h nil)
#align simple_graph.walk.concat SimpleGraph.Walk.concat
theorem concat_eq_append {u v w : V} (p : G.Walk u v) (h : G.Adj v w) :
p.concat h = p.append (cons h nil) := rfl
#align simple_graph.walk.concat_eq_append SimpleGraph.Walk.concat_eq_append
protected def reverseAux {u v w : V} : G.Walk u v → G.Walk u w → G.Walk v w
| nil, q => q
| cons h p, q => Walk.reverseAux p (cons (G.symm h) q)
#align simple_graph.walk.reverse_aux SimpleGraph.Walk.reverseAux
@[symm]
def reverse {u v : V} (w : G.Walk u v) : G.Walk v u := w.reverseAux nil
#align simple_graph.walk.reverse SimpleGraph.Walk.reverse
def getVert {u v : V} : G.Walk u v → ℕ → V
| nil, _ => u
| cons _ _, 0 => u
| cons _ q, n + 1 => q.getVert n
#align simple_graph.walk.get_vert SimpleGraph.Walk.getVert
@[simp]
theorem getVert_zero {u v} (w : G.Walk u v) : w.getVert 0 = u := by cases w <;> rfl
#align simple_graph.walk.get_vert_zero SimpleGraph.Walk.getVert_zero
theorem getVert_of_length_le {u v} (w : G.Walk u v) {i : ℕ} (hi : w.length ≤ i) :
w.getVert i = v := by
induction w generalizing i with
| nil => rfl
| cons _ _ ih =>
cases i
· cases hi
· exact ih (Nat.succ_le_succ_iff.1 hi)
#align simple_graph.walk.get_vert_of_length_le SimpleGraph.Walk.getVert_of_length_le
@[simp]
theorem getVert_length {u v} (w : G.Walk u v) : w.getVert w.length = v :=
w.getVert_of_length_le rfl.le
#align simple_graph.walk.get_vert_length SimpleGraph.Walk.getVert_length
theorem adj_getVert_succ {u v} (w : G.Walk u v) {i : ℕ} (hi : i < w.length) :
G.Adj (w.getVert i) (w.getVert (i + 1)) := by
induction w generalizing i with
| nil => cases hi
| cons hxy _ ih =>
cases i
· simp [getVert, hxy]
· exact ih (Nat.succ_lt_succ_iff.1 hi)
#align simple_graph.walk.adj_get_vert_succ SimpleGraph.Walk.adj_getVert_succ
@[simp]
theorem cons_append {u v w x : V} (h : G.Adj u v) (p : G.Walk v w) (q : G.Walk w x) :
(cons h p).append q = cons h (p.append q) := rfl
#align simple_graph.walk.cons_append SimpleGraph.Walk.cons_append
@[simp]
theorem cons_nil_append {u v w : V} (h : G.Adj u v) (p : G.Walk v w) :
(cons h nil).append p = cons h p := rfl
#align simple_graph.walk.cons_nil_append SimpleGraph.Walk.cons_nil_append
@[simp]
theorem append_nil {u v : V} (p : G.Walk u v) : p.append nil = p := by
induction p with
| nil => rfl
| cons _ _ ih => rw [cons_append, ih]
#align simple_graph.walk.append_nil SimpleGraph.Walk.append_nil
@[simp]
theorem nil_append {u v : V} (p : G.Walk u v) : nil.append p = p :=
rfl
#align simple_graph.walk.nil_append SimpleGraph.Walk.nil_append
theorem append_assoc {u v w x : V} (p : G.Walk u v) (q : G.Walk v w) (r : G.Walk w x) :
p.append (q.append r) = (p.append q).append r := by
induction p with
| nil => rfl
| cons h p' ih =>
dsimp only [append]
rw [ih]
#align simple_graph.walk.append_assoc SimpleGraph.Walk.append_assoc
@[simp]
theorem append_copy_copy {u v w u' v' w'} (p : G.Walk u v) (q : G.Walk v w)
(hu : u = u') (hv : v = v') (hw : w = w') :
(p.copy hu hv).append (q.copy hv hw) = (p.append q).copy hu hw := by
subst_vars
rfl
#align simple_graph.walk.append_copy_copy SimpleGraph.Walk.append_copy_copy
theorem concat_nil {u v : V} (h : G.Adj u v) : nil.concat h = cons h nil := rfl
#align simple_graph.walk.concat_nil SimpleGraph.Walk.concat_nil
@[simp]
theorem concat_cons {u v w x : V} (h : G.Adj u v) (p : G.Walk v w) (h' : G.Adj w x) :
(cons h p).concat h' = cons h (p.concat h') := rfl
#align simple_graph.walk.concat_cons SimpleGraph.Walk.concat_cons
theorem append_concat {u v w x : V} (p : G.Walk u v) (q : G.Walk v w) (h : G.Adj w x) :
p.append (q.concat h) = (p.append q).concat h := append_assoc _ _ _
#align simple_graph.walk.append_concat SimpleGraph.Walk.append_concat
theorem concat_append {u v w x : V} (p : G.Walk u v) (h : G.Adj v w) (q : G.Walk w x) :
(p.concat h).append q = p.append (cons h q) := by
rw [concat_eq_append, ← append_assoc, cons_nil_append]
#align simple_graph.walk.concat_append SimpleGraph.Walk.concat_append
theorem exists_cons_eq_concat {u v w : V} (h : G.Adj u v) (p : G.Walk v w) :
∃ (x : V) (q : G.Walk u x) (h' : G.Adj x w), cons h p = q.concat h' := by
induction p generalizing u with
| nil => exact ⟨_, nil, h, rfl⟩
| cons h' p ih =>
obtain ⟨y, q, h'', hc⟩ := ih h'
refine ⟨y, cons h q, h'', ?_⟩
rw [concat_cons, hc]
#align simple_graph.walk.exists_cons_eq_concat SimpleGraph.Walk.exists_cons_eq_concat
theorem exists_concat_eq_cons {u v w : V} :
∀ (p : G.Walk u v) (h : G.Adj v w),
∃ (x : V) (h' : G.Adj u x) (q : G.Walk x w), p.concat h = cons h' q
| nil, h => ⟨_, h, nil, rfl⟩
| cons h' p, h => ⟨_, h', Walk.concat p h, concat_cons _ _ _⟩
#align simple_graph.walk.exists_concat_eq_cons SimpleGraph.Walk.exists_concat_eq_cons
@[simp]
theorem reverse_nil {u : V} : (nil : G.Walk u u).reverse = nil := rfl
#align simple_graph.walk.reverse_nil SimpleGraph.Walk.reverse_nil
theorem reverse_singleton {u v : V} (h : G.Adj u v) : (cons h nil).reverse = cons (G.symm h) nil :=
rfl
#align simple_graph.walk.reverse_singleton SimpleGraph.Walk.reverse_singleton
@[simp]
theorem cons_reverseAux {u v w x : V} (p : G.Walk u v) (q : G.Walk w x) (h : G.Adj w u) :
(cons h p).reverseAux q = p.reverseAux (cons (G.symm h) q) := rfl
#align simple_graph.walk.cons_reverse_aux SimpleGraph.Walk.cons_reverseAux
@[simp]
protected theorem append_reverseAux {u v w x : V}
(p : G.Walk u v) (q : G.Walk v w) (r : G.Walk u x) :
(p.append q).reverseAux r = q.reverseAux (p.reverseAux r) := by
induction p with
| nil => rfl
| cons h _ ih => exact ih q (cons (G.symm h) r)
#align simple_graph.walk.append_reverse_aux SimpleGraph.Walk.append_reverseAux
@[simp]
protected theorem reverseAux_append {u v w x : V}
(p : G.Walk u v) (q : G.Walk u w) (r : G.Walk w x) :
(p.reverseAux q).append r = p.reverseAux (q.append r) := by
induction p with
| nil => rfl
| cons h _ ih => simp [ih (cons (G.symm h) q)]
#align simple_graph.walk.reverse_aux_append SimpleGraph.Walk.reverseAux_append
protected theorem reverseAux_eq_reverse_append {u v w : V} (p : G.Walk u v) (q : G.Walk u w) :
p.reverseAux q = p.reverse.append q := by simp [reverse]
#align simple_graph.walk.reverse_aux_eq_reverse_append SimpleGraph.Walk.reverseAux_eq_reverse_append
@[simp]
theorem reverse_cons {u v w : V} (h : G.Adj u v) (p : G.Walk v w) :
(cons h p).reverse = p.reverse.append (cons (G.symm h) nil) := by simp [reverse]
#align simple_graph.walk.reverse_cons SimpleGraph.Walk.reverse_cons
@[simp]
theorem reverse_copy {u v u' v'} (p : G.Walk u v) (hu : u = u') (hv : v = v') :
(p.copy hu hv).reverse = p.reverse.copy hv hu := by
subst_vars
rfl
#align simple_graph.walk.reverse_copy SimpleGraph.Walk.reverse_copy
@[simp]
theorem reverse_append {u v w : V} (p : G.Walk u v) (q : G.Walk v w) :
(p.append q).reverse = q.reverse.append p.reverse := by simp [reverse]
#align simple_graph.walk.reverse_append SimpleGraph.Walk.reverse_append
@[simp]
theorem reverse_concat {u v w : V} (p : G.Walk u v) (h : G.Adj v w) :
(p.concat h).reverse = cons (G.symm h) p.reverse := by simp [concat_eq_append]
#align simple_graph.walk.reverse_concat SimpleGraph.Walk.reverse_concat
@[simp]
theorem reverse_reverse {u v : V} (p : G.Walk u v) : p.reverse.reverse = p := by
induction p with
| nil => rfl
| cons _ _ ih => simp [ih]
#align simple_graph.walk.reverse_reverse SimpleGraph.Walk.reverse_reverse
@[simp]
theorem length_nil {u : V} : (nil : G.Walk u u).length = 0 := rfl
#align simple_graph.walk.length_nil SimpleGraph.Walk.length_nil
@[simp]
theorem length_cons {u v w : V} (h : G.Adj u v) (p : G.Walk v w) :
(cons h p).length = p.length + 1 := rfl
#align simple_graph.walk.length_cons SimpleGraph.Walk.length_cons
@[simp]
theorem length_copy {u v u' v'} (p : G.Walk u v) (hu : u = u') (hv : v = v') :
(p.copy hu hv).length = p.length := by
subst_vars
rfl
#align simple_graph.walk.length_copy SimpleGraph.Walk.length_copy
@[simp]
theorem length_append {u v w : V} (p : G.Walk u v) (q : G.Walk v w) :
(p.append q).length = p.length + q.length := by
induction p with
| nil => simp
| cons _ _ ih => simp [ih, add_comm, add_left_comm, add_assoc]
#align simple_graph.walk.length_append SimpleGraph.Walk.length_append
@[simp]
theorem length_concat {u v w : V} (p : G.Walk u v) (h : G.Adj v w) :
(p.concat h).length = p.length + 1 := length_append _ _
#align simple_graph.walk.length_concat SimpleGraph.Walk.length_concat
@[simp]
protected theorem length_reverseAux {u v w : V} (p : G.Walk u v) (q : G.Walk u w) :
(p.reverseAux q).length = p.length + q.length := by
induction p with
| nil => simp!
| cons _ _ ih => simp [ih, Nat.succ_add, Nat.add_assoc]
#align simple_graph.walk.length_reverse_aux SimpleGraph.Walk.length_reverseAux
@[simp]
theorem length_reverse {u v : V} (p : G.Walk u v) : p.reverse.length = p.length := by simp [reverse]
#align simple_graph.walk.length_reverse SimpleGraph.Walk.length_reverse
theorem eq_of_length_eq_zero {u v : V} : ∀ {p : G.Walk u v}, p.length = 0 → u = v
| nil, _ => rfl
#align simple_graph.walk.eq_of_length_eq_zero SimpleGraph.Walk.eq_of_length_eq_zero
theorem adj_of_length_eq_one {u v : V} : ∀ {p : G.Walk u v}, p.length = 1 → G.Adj u v
| cons h nil, _ => h
@[simp]
theorem exists_length_eq_zero_iff {u v : V} : (∃ p : G.Walk u v, p.length = 0) ↔ u = v := by
constructor
· rintro ⟨p, hp⟩
exact eq_of_length_eq_zero hp
· rintro rfl
exact ⟨nil, rfl⟩
#align simple_graph.walk.exists_length_eq_zero_iff SimpleGraph.Walk.exists_length_eq_zero_iff
@[simp]
theorem length_eq_zero_iff {u : V} {p : G.Walk u u} : p.length = 0 ↔ p = nil := by cases p <;> simp
#align simple_graph.walk.length_eq_zero_iff SimpleGraph.Walk.length_eq_zero_iff
theorem getVert_append {u v w : V} (p : G.Walk u v) (q : G.Walk v w) (i : ℕ) :
(p.append q).getVert i = if i < p.length then p.getVert i else q.getVert (i - p.length) := by
induction p generalizing i with
| nil => simp
| cons h p ih => cases i <;> simp [getVert, ih, Nat.succ_lt_succ_iff]
theorem getVert_reverse {u v : V} (p : G.Walk u v) (i : ℕ) :
p.reverse.getVert i = p.getVert (p.length - i) := by
induction p with
| nil => rfl
| cons h p ih =>
simp only [reverse_cons, getVert_append, length_reverse, ih, length_cons]
split_ifs
next hi =>
rw [Nat.succ_sub hi.le]
simp [getVert]
next hi =>
obtain rfl | hi' := Nat.eq_or_lt_of_not_lt hi
· simp [getVert]
· rw [Nat.eq_add_of_sub_eq (Nat.sub_pos_of_lt hi') rfl, Nat.sub_eq_zero_of_le hi']
simp [getVert]
theorem concat_ne_nil {u v : V} (p : G.Walk u v) (h : G.Adj v u) : p.concat h ≠ nil := by
cases p <;> simp [concat]
#align simple_graph.walk.concat_ne_nil SimpleGraph.Walk.concat_ne_nil
theorem concat_inj {u v v' w : V} {p : G.Walk u v} {h : G.Adj v w} {p' : G.Walk u v'}
{h' : G.Adj v' w} (he : p.concat h = p'.concat h') : ∃ hv : v = v', p.copy rfl hv = p' := by
induction p with
| nil =>
cases p'
· exact ⟨rfl, rfl⟩
· exfalso
simp only [concat_nil, concat_cons, cons.injEq] at he
obtain ⟨rfl, he⟩ := he
simp only [heq_iff_eq] at he
exact concat_ne_nil _ _ he.symm
| cons _ _ ih =>
rw [concat_cons] at he
cases p'
· exfalso
simp only [concat_nil, cons.injEq] at he
obtain ⟨rfl, he⟩ := he
rw [heq_iff_eq] at he
exact concat_ne_nil _ _ he
· rw [concat_cons, cons.injEq] at he
obtain ⟨rfl, he⟩ := he
rw [heq_iff_eq] at he
obtain ⟨rfl, rfl⟩ := ih he
exact ⟨rfl, rfl⟩
#align simple_graph.walk.concat_inj SimpleGraph.Walk.concat_inj
def support {u v : V} : G.Walk u v → List V
| nil => [u]
| cons _ p => u :: p.support
#align simple_graph.walk.support SimpleGraph.Walk.support
def darts {u v : V} : G.Walk u v → List G.Dart
| nil => []
| cons h p => ⟨(u, _), h⟩ :: p.darts
#align simple_graph.walk.darts SimpleGraph.Walk.darts
def edges {u v : V} (p : G.Walk u v) : List (Sym2 V) := p.darts.map Dart.edge
#align simple_graph.walk.edges SimpleGraph.Walk.edges
@[simp]
theorem support_nil {u : V} : (nil : G.Walk u u).support = [u] := rfl
#align simple_graph.walk.support_nil SimpleGraph.Walk.support_nil
@[simp]
theorem support_cons {u v w : V} (h : G.Adj u v) (p : G.Walk v w) :
(cons h p).support = u :: p.support := rfl
#align simple_graph.walk.support_cons SimpleGraph.Walk.support_cons
@[simp]
theorem support_concat {u v w : V} (p : G.Walk u v) (h : G.Adj v w) :
(p.concat h).support = p.support.concat w := by
induction p <;> simp [*, concat_nil]
#align simple_graph.walk.support_concat SimpleGraph.Walk.support_concat
@[simp]
theorem support_copy {u v u' v'} (p : G.Walk u v) (hu : u = u') (hv : v = v') :
(p.copy hu hv).support = p.support := by
subst_vars
rfl
#align simple_graph.walk.support_copy SimpleGraph.Walk.support_copy
theorem support_append {u v w : V} (p : G.Walk u v) (p' : G.Walk v w) :
(p.append p').support = p.support ++ p'.support.tail := by
induction p <;> cases p' <;> simp [*]
#align simple_graph.walk.support_append SimpleGraph.Walk.support_append
@[simp]
theorem support_reverse {u v : V} (p : G.Walk u v) : p.reverse.support = p.support.reverse := by
induction p <;> simp [support_append, *]
#align simple_graph.walk.support_reverse SimpleGraph.Walk.support_reverse
@[simp]
theorem support_ne_nil {u v : V} (p : G.Walk u v) : p.support ≠ [] := by cases p <;> simp
#align simple_graph.walk.support_ne_nil SimpleGraph.Walk.support_ne_nil
theorem tail_support_append {u v w : V} (p : G.Walk u v) (p' : G.Walk v w) :
(p.append p').support.tail = p.support.tail ++ p'.support.tail := by
rw [support_append, List.tail_append_of_ne_nil _ _ (support_ne_nil _)]
#align simple_graph.walk.tail_support_append SimpleGraph.Walk.tail_support_append
theorem support_eq_cons {u v : V} (p : G.Walk u v) : p.support = u :: p.support.tail := by
cases p <;> simp
#align simple_graph.walk.support_eq_cons SimpleGraph.Walk.support_eq_cons
@[simp]
theorem start_mem_support {u v : V} (p : G.Walk u v) : u ∈ p.support := by cases p <;> simp
#align simple_graph.walk.start_mem_support SimpleGraph.Walk.start_mem_support
@[simp]
theorem end_mem_support {u v : V} (p : G.Walk u v) : v ∈ p.support := by induction p <;> simp [*]
#align simple_graph.walk.end_mem_support SimpleGraph.Walk.end_mem_support
@[simp]
theorem support_nonempty {u v : V} (p : G.Walk u v) : { w | w ∈ p.support }.Nonempty :=
⟨u, by simp⟩
#align simple_graph.walk.support_nonempty SimpleGraph.Walk.support_nonempty
theorem mem_support_iff {u v w : V} (p : G.Walk u v) :
w ∈ p.support ↔ w = u ∨ w ∈ p.support.tail := by cases p <;> simp
#align simple_graph.walk.mem_support_iff SimpleGraph.Walk.mem_support_iff
theorem mem_support_nil_iff {u v : V} : u ∈ (nil : G.Walk v v).support ↔ u = v := by simp
#align simple_graph.walk.mem_support_nil_iff SimpleGraph.Walk.mem_support_nil_iff
@[simp]
theorem mem_tail_support_append_iff {t u v w : V} (p : G.Walk u v) (p' : G.Walk v w) :
t ∈ (p.append p').support.tail ↔ t ∈ p.support.tail ∨ t ∈ p'.support.tail := by
rw [tail_support_append, List.mem_append]
#align simple_graph.walk.mem_tail_support_append_iff SimpleGraph.Walk.mem_tail_support_append_iff
@[simp]
theorem end_mem_tail_support_of_ne {u v : V} (h : u ≠ v) (p : G.Walk u v) : v ∈ p.support.tail := by
obtain ⟨_, _, _, rfl⟩ := exists_eq_cons_of_ne h p
simp
#align simple_graph.walk.end_mem_tail_support_of_ne SimpleGraph.Walk.end_mem_tail_support_of_ne
@[simp, nolint unusedHavesSuffices]
theorem mem_support_append_iff {t u v w : V} (p : G.Walk u v) (p' : G.Walk v w) :
t ∈ (p.append p').support ↔ t ∈ p.support ∨ t ∈ p'.support := by
simp only [mem_support_iff, mem_tail_support_append_iff]
obtain rfl | h := eq_or_ne t v <;> obtain rfl | h' := eq_or_ne t u <;>
-- this `have` triggers the unusedHavesSuffices linter:
(try have := h'.symm) <;> simp [*]
#align simple_graph.walk.mem_support_append_iff SimpleGraph.Walk.mem_support_append_iff
@[simp]
theorem subset_support_append_left {V : Type u} {G : SimpleGraph V} {u v w : V}
(p : G.Walk u v) (q : G.Walk v w) : p.support ⊆ (p.append q).support := by
simp only [Walk.support_append, List.subset_append_left]
#align simple_graph.walk.subset_support_append_left SimpleGraph.Walk.subset_support_append_left
@[simp]
theorem subset_support_append_right {V : Type u} {G : SimpleGraph V} {u v w : V}
(p : G.Walk u v) (q : G.Walk v w) : q.support ⊆ (p.append q).support := by
intro h
simp (config := { contextual := true }) only [mem_support_append_iff, or_true_iff, imp_true_iff]
#align simple_graph.walk.subset_support_append_right SimpleGraph.Walk.subset_support_append_right
theorem coe_support {u v : V} (p : G.Walk u v) :
(p.support : Multiset V) = {u} + p.support.tail := by cases p <;> rfl
#align simple_graph.walk.coe_support SimpleGraph.Walk.coe_support
theorem coe_support_append {u v w : V} (p : G.Walk u v) (p' : G.Walk v w) :
((p.append p').support : Multiset V) = {u} + p.support.tail + p'.support.tail := by
rw [support_append, ← Multiset.coe_add, coe_support]
#align simple_graph.walk.coe_support_append SimpleGraph.Walk.coe_support_append
theorem coe_support_append' [DecidableEq V] {u v w : V} (p : G.Walk u v) (p' : G.Walk v w) :
((p.append p').support : Multiset V) = p.support + p'.support - {v} := by
rw [support_append, ← Multiset.coe_add]
simp only [coe_support]
rw [add_comm ({v} : Multiset V)]
simp only [← add_assoc, add_tsub_cancel_right]
#align simple_graph.walk.coe_support_append' SimpleGraph.Walk.coe_support_append'
theorem chain_adj_support {u v w : V} (h : G.Adj u v) :
∀ (p : G.Walk v w), List.Chain G.Adj u p.support
| nil => List.Chain.cons h List.Chain.nil
| cons h' p => List.Chain.cons h (chain_adj_support h' p)
#align simple_graph.walk.chain_adj_support SimpleGraph.Walk.chain_adj_support
theorem chain'_adj_support {u v : V} : ∀ (p : G.Walk u v), List.Chain' G.Adj p.support
| nil => List.Chain.nil
| cons h p => chain_adj_support h p
#align simple_graph.walk.chain'_adj_support SimpleGraph.Walk.chain'_adj_support
theorem chain_dartAdj_darts {d : G.Dart} {v w : V} (h : d.snd = v) (p : G.Walk v w) :
List.Chain G.DartAdj d p.darts := by
induction p generalizing d with
| nil => exact List.Chain.nil
-- Porting note: needed to defer `h` and `rfl` to help elaboration
| cons h' p ih => exact List.Chain.cons (by exact h) (ih (by rfl))
#align simple_graph.walk.chain_dart_adj_darts SimpleGraph.Walk.chain_dartAdj_darts
theorem chain'_dartAdj_darts {u v : V} : ∀ (p : G.Walk u v), List.Chain' G.DartAdj p.darts
| nil => trivial
-- Porting note: needed to defer `rfl` to help elaboration
| cons h p => chain_dartAdj_darts (by rfl) p
#align simple_graph.walk.chain'_dart_adj_darts SimpleGraph.Walk.chain'_dartAdj_darts
theorem edges_subset_edgeSet {u v : V} :
∀ (p : G.Walk u v) ⦃e : Sym2 V⦄, e ∈ p.edges → e ∈ G.edgeSet
| cons h' p', e, h => by
cases h
· exact h'
next h' => exact edges_subset_edgeSet p' h'
#align simple_graph.walk.edges_subset_edge_set SimpleGraph.Walk.edges_subset_edgeSet
theorem adj_of_mem_edges {u v x y : V} (p : G.Walk u v) (h : s(x, y) ∈ p.edges) : G.Adj x y :=
edges_subset_edgeSet p h
#align simple_graph.walk.adj_of_mem_edges SimpleGraph.Walk.adj_of_mem_edges
@[simp]
theorem darts_nil {u : V} : (nil : G.Walk u u).darts = [] := rfl
#align simple_graph.walk.darts_nil SimpleGraph.Walk.darts_nil
@[simp]
theorem darts_cons {u v w : V} (h : G.Adj u v) (p : G.Walk v w) :
(cons h p).darts = ⟨(u, v), h⟩ :: p.darts := rfl
#align simple_graph.walk.darts_cons SimpleGraph.Walk.darts_cons
@[simp]
theorem darts_concat {u v w : V} (p : G.Walk u v) (h : G.Adj v w) :
(p.concat h).darts = p.darts.concat ⟨(v, w), h⟩ := by
induction p <;> simp [*, concat_nil]
#align simple_graph.walk.darts_concat SimpleGraph.Walk.darts_concat
@[simp]
theorem darts_copy {u v u' v'} (p : G.Walk u v) (hu : u = u') (hv : v = v') :
(p.copy hu hv).darts = p.darts := by
subst_vars
rfl
#align simple_graph.walk.darts_copy SimpleGraph.Walk.darts_copy
@[simp]
theorem darts_append {u v w : V} (p : G.Walk u v) (p' : G.Walk v w) :
(p.append p').darts = p.darts ++ p'.darts := by
induction p <;> simp [*]
#align simple_graph.walk.darts_append SimpleGraph.Walk.darts_append
@[simp]
theorem darts_reverse {u v : V} (p : G.Walk u v) :
p.reverse.darts = (p.darts.map Dart.symm).reverse := by
induction p <;> simp [*, Sym2.eq_swap]
#align simple_graph.walk.darts_reverse SimpleGraph.Walk.darts_reverse
theorem mem_darts_reverse {u v : V} {d : G.Dart} {p : G.Walk u v} :
d ∈ p.reverse.darts ↔ d.symm ∈ p.darts := by simp
#align simple_graph.walk.mem_darts_reverse SimpleGraph.Walk.mem_darts_reverse
theorem cons_map_snd_darts {u v : V} (p : G.Walk u v) : (u :: p.darts.map (·.snd)) = p.support := by
induction p <;> simp! [*]
#align simple_graph.walk.cons_map_snd_darts SimpleGraph.Walk.cons_map_snd_darts
theorem map_snd_darts {u v : V} (p : G.Walk u v) : p.darts.map (·.snd) = p.support.tail := by
simpa using congr_arg List.tail (cons_map_snd_darts p)
#align simple_graph.walk.map_snd_darts SimpleGraph.Walk.map_snd_darts
theorem map_fst_darts_append {u v : V} (p : G.Walk u v) :
p.darts.map (·.fst) ++ [v] = p.support := by
induction p <;> simp! [*]
#align simple_graph.walk.map_fst_darts_append SimpleGraph.Walk.map_fst_darts_append
theorem map_fst_darts {u v : V} (p : G.Walk u v) : p.darts.map (·.fst) = p.support.dropLast := by
simpa! using congr_arg List.dropLast (map_fst_darts_append p)
#align simple_graph.walk.map_fst_darts SimpleGraph.Walk.map_fst_darts
@[simp]
theorem edges_nil {u : V} : (nil : G.Walk u u).edges = [] := rfl
#align simple_graph.walk.edges_nil SimpleGraph.Walk.edges_nil
@[simp]
theorem edges_cons {u v w : V} (h : G.Adj u v) (p : G.Walk v w) :
(cons h p).edges = s(u, v) :: p.edges := rfl
#align simple_graph.walk.edges_cons SimpleGraph.Walk.edges_cons
@[simp]
theorem edges_concat {u v w : V} (p : G.Walk u v) (h : G.Adj v w) :
(p.concat h).edges = p.edges.concat s(v, w) := by simp [edges]
#align simple_graph.walk.edges_concat SimpleGraph.Walk.edges_concat
@[simp]
| Mathlib/Combinatorics/SimpleGraph/Connectivity.lean | 771 | 774 | theorem edges_copy {u v u' v'} (p : G.Walk u v) (hu : u = u') (hv : v = v') :
(p.copy hu hv).edges = p.edges := by |
subst_vars
rfl
|
import Mathlib.CategoryTheory.Idempotents.Basic
import Mathlib.CategoryTheory.Preadditive.AdditiveFunctor
import Mathlib.CategoryTheory.Equivalence
#align_import category_theory.idempotents.karoubi from "leanprover-community/mathlib"@"200eda15d8ff5669854ff6bcc10aaf37cb70498f"
noncomputable section
open CategoryTheory.Category CategoryTheory.Preadditive CategoryTheory.Limits BigOperators
namespace CategoryTheory
variable (C : Type*) [Category C]
namespace Idempotents
-- porting note (#5171): removed @[nolint has_nonempty_instance]
structure Karoubi where
X : C
p : X ⟶ X
idem : p ≫ p = p := by aesop_cat
#align category_theory.idempotents.karoubi CategoryTheory.Idempotents.Karoubi
namespace Karoubi
variable {C}
attribute [reassoc (attr := simp)] idem
@[ext]
theorem ext {P Q : Karoubi C} (h_X : P.X = Q.X) (h_p : P.p ≫ eqToHom h_X = eqToHom h_X ≫ Q.p) :
P = Q := by
cases P
cases Q
dsimp at h_X h_p
subst h_X
simpa only [mk.injEq, heq_eq_eq, true_and, eqToHom_refl, comp_id, id_comp] using h_p
#align category_theory.idempotents.karoubi.ext CategoryTheory.Idempotents.Karoubi.ext
@[ext]
structure Hom (P Q : Karoubi C) where
f : P.X ⟶ Q.X
comm : f = P.p ≫ f ≫ Q.p := by aesop_cat
#align category_theory.idempotents.karoubi.hom CategoryTheory.Idempotents.Karoubi.Hom
instance [Preadditive C] (P Q : Karoubi C) : Inhabited (Hom P Q) :=
⟨⟨0, by rw [zero_comp, comp_zero]⟩⟩
@[reassoc (attr := simp)]
theorem p_comp {P Q : Karoubi C} (f : Hom P Q) : P.p ≫ f.f = f.f := by rw [f.comm, ← assoc, P.idem]
#align category_theory.idempotents.karoubi.p_comp CategoryTheory.Idempotents.Karoubi.p_comp
@[reassoc (attr := simp)]
theorem comp_p {P Q : Karoubi C} (f : Hom P Q) : f.f ≫ Q.p = f.f := by
rw [f.comm, assoc, assoc, Q.idem]
#align category_theory.idempotents.karoubi.comp_p CategoryTheory.Idempotents.Karoubi.comp_p
@[reassoc]
| Mathlib/CategoryTheory/Idempotents/Karoubi.lean | 94 | 94 | theorem p_comm {P Q : Karoubi C} (f : Hom P Q) : P.p ≫ f.f = f.f ≫ Q.p := by | rw [p_comp, comp_p]
|
import Mathlib.LinearAlgebra.Matrix.Spectrum
import Mathlib.LinearAlgebra.QuadraticForm.Basic
#align_import linear_algebra.matrix.pos_def from "leanprover-community/mathlib"@"07992a1d1f7a4176c6d3f160209608be4e198566"
open scoped ComplexOrder
namespace Matrix
variable {m n R 𝕜 : Type*}
variable [Fintype m] [Fintype n]
variable [CommRing R] [PartialOrder R] [StarRing R] [StarOrderedRing R]
variable [RCLike 𝕜]
open scoped Matrix
def PosSemidef (M : Matrix n n R) :=
M.IsHermitian ∧ ∀ x : n → R, 0 ≤ dotProduct (star x) (M *ᵥ x)
#align matrix.pos_semidef Matrix.PosSemidef
lemma posSemidef_diagonal_iff [DecidableEq n] {d : n → R} :
PosSemidef (diagonal d) ↔ (∀ i : n, 0 ≤ d i) := by
refine ⟨fun ⟨_, hP⟩ i ↦ by simpa using hP (Pi.single i 1), ?_⟩
refine fun hd ↦ ⟨isHermitian_diagonal_iff.2 fun i ↦ IsSelfAdjoint.of_nonneg (hd i), ?_⟩
refine fun x ↦ Finset.sum_nonneg fun i _ ↦ ?_
simpa only [mulVec_diagonal, mul_assoc] using conjugate_nonneg (hd i) _
namespace PosSemidef
theorem isHermitian {M : Matrix n n R} (hM : M.PosSemidef) : M.IsHermitian :=
hM.1
theorem re_dotProduct_nonneg {M : Matrix n n 𝕜} (hM : M.PosSemidef) (x : n → 𝕜) :
0 ≤ RCLike.re (dotProduct (star x) (M *ᵥ x)) :=
RCLike.nonneg_iff.mp (hM.2 _) |>.1
lemma conjTranspose_mul_mul_same {A : Matrix n n R} (hA : PosSemidef A)
{m : Type*} [Fintype m] (B : Matrix n m R) :
PosSemidef (Bᴴ * A * B) := by
constructor
· exact isHermitian_conjTranspose_mul_mul B hA.1
· intro x
simpa only [star_mulVec, dotProduct_mulVec, vecMul_vecMul] using hA.2 (B *ᵥ x)
lemma mul_mul_conjTranspose_same {A : Matrix n n R} (hA : PosSemidef A)
{m : Type*} [Fintype m] (B : Matrix m n R):
PosSemidef (B * A * Bᴴ) := by
simpa only [conjTranspose_conjTranspose] using hA.conjTranspose_mul_mul_same Bᴴ
| Mathlib/LinearAlgebra/Matrix/PosDef.lean | 81 | 87 | theorem submatrix {M : Matrix n n R} (hM : M.PosSemidef) (e : m → n) :
(M.submatrix e e).PosSemidef := by |
classical
rw [(by simp : M = 1 * M * 1), submatrix_mul (he₂ := Function.bijective_id),
submatrix_mul (he₂ := Function.bijective_id), submatrix_id_id]
simpa only [conjTranspose_submatrix, conjTranspose_one] using
conjTranspose_mul_mul_same hM (Matrix.submatrix 1 id e)
|
import Mathlib.CategoryTheory.Functor.Currying
import Mathlib.CategoryTheory.Limits.Preserves.Limits
#align_import category_theory.limits.functor_category from "leanprover-community/mathlib"@"e97cf15cd1aec9bd5c193b2ffac5a6dc9118912b"
open CategoryTheory CategoryTheory.Category CategoryTheory.Functor
-- morphism levels before object levels. See note [CategoryTheory universes].
universe w' w v₁ v₂ u₁ u₂ v v' u u'
namespace CategoryTheory.Limits
variable {C : Type u} [Category.{v} C] {D : Type u'} [Category.{v'} D]
variable {J : Type u₁} [Category.{v₁} J] {K : Type u₂} [Category.{v₂} K]
@[reassoc (attr := simp)]
theorem limit.lift_π_app (H : J ⥤ K ⥤ C) [HasLimit H] (c : Cone H) (j : J) (k : K) :
(limit.lift H c).app k ≫ (limit.π H j).app k = (c.π.app j).app k :=
congr_app (limit.lift_π c j) k
#align category_theory.limits.limit.lift_π_app CategoryTheory.Limits.limit.lift_π_app
@[reassoc (attr := simp)]
theorem colimit.ι_desc_app (H : J ⥤ K ⥤ C) [HasColimit H] (c : Cocone H) (j : J) (k : K) :
(colimit.ι H j).app k ≫ (colimit.desc H c).app k = (c.ι.app j).app k :=
congr_app (colimit.ι_desc c j) k
#align category_theory.limits.colimit.ι_desc_app CategoryTheory.Limits.colimit.ι_desc_app
def evaluationJointlyReflectsLimits {F : J ⥤ K ⥤ C} (c : Cone F)
(t : ∀ k : K, IsLimit (((evaluation K C).obj k).mapCone c)) : IsLimit c where
lift s :=
{ app := fun k => (t k).lift ⟨s.pt.obj k, whiskerRight s.π ((evaluation K C).obj k)⟩
naturality := fun X Y f =>
(t Y).hom_ext fun j => by
rw [assoc, (t Y).fac _ j]
simpa using
((t X).fac_assoc ⟨s.pt.obj X, whiskerRight s.π ((evaluation K C).obj X)⟩ j _).symm }
fac s j := by ext k; exact (t k).fac _ j
uniq s m w := by
ext x
exact (t x).hom_ext fun j =>
(congr_app (w j) x).trans
((t x).fac ⟨s.pt.obj _, whiskerRight s.π ((evaluation K C).obj _)⟩ j).symm
#align category_theory.limits.evaluation_jointly_reflects_limits CategoryTheory.Limits.evaluationJointlyReflectsLimits
@[simps]
def combineCones (F : J ⥤ K ⥤ C) (c : ∀ k : K, LimitCone (F.flip.obj k)) : Cone F where
pt :=
{ obj := fun k => (c k).cone.pt
map := fun {k₁} {k₂} f => (c k₂).isLimit.lift ⟨_, (c k₁).cone.π ≫ F.flip.map f⟩
map_id := fun k =>
(c k).isLimit.hom_ext fun j => by
dsimp
simp
map_comp := fun {k₁} {k₂} {k₃} f₁ f₂ => (c k₃).isLimit.hom_ext fun j => by simp }
π :=
{ app := fun j => { app := fun k => (c k).cone.π.app j }
naturality := fun j₁ j₂ g => by ext k; exact (c k).cone.π.naturality g }
#align category_theory.limits.combine_cones CategoryTheory.Limits.combineCones
def evaluateCombinedCones (F : J ⥤ K ⥤ C) (c : ∀ k : K, LimitCone (F.flip.obj k)) (k : K) :
((evaluation K C).obj k).mapCone (combineCones F c) ≅ (c k).cone :=
Cones.ext (Iso.refl _)
#align category_theory.limits.evaluate_combined_cones CategoryTheory.Limits.evaluateCombinedCones
def combinedIsLimit (F : J ⥤ K ⥤ C) (c : ∀ k : K, LimitCone (F.flip.obj k)) :
IsLimit (combineCones F c) :=
evaluationJointlyReflectsLimits _ fun k =>
(c k).isLimit.ofIsoLimit (evaluateCombinedCones F c k).symm
#align category_theory.limits.combined_is_limit CategoryTheory.Limits.combinedIsLimit
def evaluationJointlyReflectsColimits {F : J ⥤ K ⥤ C} (c : Cocone F)
(t : ∀ k : K, IsColimit (((evaluation K C).obj k).mapCocone c)) : IsColimit c where
desc s :=
{ app := fun k => (t k).desc ⟨s.pt.obj k, whiskerRight s.ι ((evaluation K C).obj k)⟩
naturality := fun X Y f =>
(t X).hom_ext fun j => by
rw [(t X).fac_assoc _ j]
erw [← (c.ι.app j).naturality_assoc f]
erw [(t Y).fac ⟨s.pt.obj _, whiskerRight s.ι _⟩ j]
dsimp
simp }
fac s j := by ext k; exact (t k).fac _ j
uniq s m w := by
ext x
exact (t x).hom_ext fun j =>
(congr_app (w j) x).trans
((t x).fac ⟨s.pt.obj _, whiskerRight s.ι ((evaluation K C).obj _)⟩ j).symm
#align category_theory.limits.evaluation_jointly_reflects_colimits CategoryTheory.Limits.evaluationJointlyReflectsColimits
@[simps]
def combineCocones (F : J ⥤ K ⥤ C) (c : ∀ k : K, ColimitCocone (F.flip.obj k)) : Cocone F where
pt :=
{ obj := fun k => (c k).cocone.pt
map := fun {k₁} {k₂} f => (c k₁).isColimit.desc ⟨_, F.flip.map f ≫ (c k₂).cocone.ι⟩
map_id := fun k =>
(c k).isColimit.hom_ext fun j => by
dsimp
simp
map_comp := fun {k₁} {k₂} {k₃} f₁ f₂ => (c k₁).isColimit.hom_ext fun j => by simp }
ι :=
{ app := fun j => { app := fun k => (c k).cocone.ι.app j }
naturality := fun j₁ j₂ g => by ext k; exact (c k).cocone.ι.naturality g }
#align category_theory.limits.combine_cocones CategoryTheory.Limits.combineCocones
def evaluateCombinedCocones (F : J ⥤ K ⥤ C) (c : ∀ k : K, ColimitCocone (F.flip.obj k)) (k : K) :
((evaluation K C).obj k).mapCocone (combineCocones F c) ≅ (c k).cocone :=
Cocones.ext (Iso.refl _)
#align category_theory.limits.evaluate_combined_cocones CategoryTheory.Limits.evaluateCombinedCocones
def combinedIsColimit (F : J ⥤ K ⥤ C) (c : ∀ k : K, ColimitCocone (F.flip.obj k)) :
IsColimit (combineCocones F c) :=
evaluationJointlyReflectsColimits _ fun k =>
(c k).isColimit.ofIsoColimit (evaluateCombinedCocones F c k).symm
#align category_theory.limits.combined_is_colimit CategoryTheory.Limits.combinedIsColimit
noncomputable section
instance functorCategoryHasLimitsOfShape [HasLimitsOfShape J C] : HasLimitsOfShape J (K ⥤ C) where
has_limit F :=
HasLimit.mk
{ cone := combineCones F fun _ => getLimitCone _
isLimit := combinedIsLimit _ _ }
#align category_theory.limits.functor_category_has_limits_of_shape CategoryTheory.Limits.functorCategoryHasLimitsOfShape
instance functorCategoryHasColimitsOfShape [HasColimitsOfShape J C] :
HasColimitsOfShape J (K ⥤ C) where
has_colimit _ :=
HasColimit.mk
{ cocone := combineCocones _ fun _ => getColimitCocone _
isColimit := combinedIsColimit _ _ }
#align category_theory.limits.functor_category_has_colimits_of_shape CategoryTheory.Limits.functorCategoryHasColimitsOfShape
-- Porting note: previously Lean could see through the binders and infer_instance sufficed
instance functorCategoryHasLimitsOfSize [HasLimitsOfSize.{v₁, u₁} C] :
HasLimitsOfSize.{v₁, u₁} (K ⥤ C) where
has_limits_of_shape := fun _ _ => inferInstance
#align category_theory.limits.functor_category_has_limits_of_size CategoryTheory.Limits.functorCategoryHasLimitsOfSize
-- Porting note: previously Lean could see through the binders and infer_instance sufficed
instance functorCategoryHasColimitsOfSize [HasColimitsOfSize.{v₁, u₁} C] :
HasColimitsOfSize.{v₁, u₁} (K ⥤ C) where
has_colimits_of_shape := fun _ _ => inferInstance
#align category_theory.limits.functor_category_has_colimits_of_size CategoryTheory.Limits.functorCategoryHasColimitsOfSize
instance evaluationPreservesLimitsOfShape [HasLimitsOfShape J C] (k : K) :
PreservesLimitsOfShape J ((evaluation K C).obj k) where
preservesLimit {F} := by
-- Porting note: added a let because X was not inferred
let X : (k:K) → LimitCone (Prefunctor.obj (Functor.flip F).toPrefunctor k) :=
fun k => getLimitCone (Prefunctor.obj (Functor.flip F).toPrefunctor k)
exact preservesLimitOfPreservesLimitCone (combinedIsLimit _ _) <|
IsLimit.ofIsoLimit (limit.isLimit _) (evaluateCombinedCones F X k).symm
#align category_theory.limits.evaluation_preserves_limits_of_shape CategoryTheory.Limits.evaluationPreservesLimitsOfShape
def limitObjIsoLimitCompEvaluation [HasLimitsOfShape J C] (F : J ⥤ K ⥤ C) (k : K) :
(limit F).obj k ≅ limit (F ⋙ (evaluation K C).obj k) :=
preservesLimitIso ((evaluation K C).obj k) F
#align category_theory.limits.limit_obj_iso_limit_comp_evaluation CategoryTheory.Limits.limitObjIsoLimitCompEvaluation
@[reassoc (attr := simp)]
theorem limitObjIsoLimitCompEvaluation_hom_π [HasLimitsOfShape J C] (F : J ⥤ K ⥤ C) (j : J)
(k : K) :
(limitObjIsoLimitCompEvaluation F k).hom ≫ limit.π (F ⋙ (evaluation K C).obj k) j =
(limit.π F j).app k := by
dsimp [limitObjIsoLimitCompEvaluation]
simp
#align category_theory.limits.limit_obj_iso_limit_comp_evaluation_hom_π CategoryTheory.Limits.limitObjIsoLimitCompEvaluation_hom_π
@[reassoc (attr := simp)]
theorem limitObjIsoLimitCompEvaluation_inv_π_app [HasLimitsOfShape J C] (F : J ⥤ K ⥤ C) (j : J)
(k : K) :
(limitObjIsoLimitCompEvaluation F k).inv ≫ (limit.π F j).app k =
limit.π (F ⋙ (evaluation K C).obj k) j := by
dsimp [limitObjIsoLimitCompEvaluation]
rw [Iso.inv_comp_eq]
simp
#align category_theory.limits.limit_obj_iso_limit_comp_evaluation_inv_π_app CategoryTheory.Limits.limitObjIsoLimitCompEvaluation_inv_π_app
@[reassoc (attr := simp)]
theorem limit_map_limitObjIsoLimitCompEvaluation_hom [HasLimitsOfShape J C] {i j : K}
(F : J ⥤ K ⥤ C) (f : i ⟶ j) : (limit F).map f ≫ (limitObjIsoLimitCompEvaluation _ _).hom =
(limitObjIsoLimitCompEvaluation _ _).hom ≫ limMap (whiskerLeft _ ((evaluation _ _).map f)) := by
ext
dsimp
simp
#align category_theory.limits.limit_map_limit_obj_iso_limit_comp_evaluation_hom CategoryTheory.Limits.limit_map_limitObjIsoLimitCompEvaluation_hom
@[reassoc (attr := simp)]
theorem limitObjIsoLimitCompEvaluation_inv_limit_map [HasLimitsOfShape J C] {i j : K}
(F : J ⥤ K ⥤ C) (f : i ⟶ j) : (limitObjIsoLimitCompEvaluation _ _).inv ≫ (limit F).map f =
limMap (whiskerLeft _ ((evaluation _ _).map f)) ≫ (limitObjIsoLimitCompEvaluation _ _).inv := by
rw [Iso.inv_comp_eq, ← Category.assoc, Iso.eq_comp_inv,
limit_map_limitObjIsoLimitCompEvaluation_hom]
#align category_theory.limits.limit_obj_iso_limit_comp_evaluation_inv_limit_map CategoryTheory.Limits.limitObjIsoLimitCompEvaluation_inv_limit_map
@[ext]
theorem limit_obj_ext {H : J ⥤ K ⥤ C} [HasLimitsOfShape J C] {k : K} {W : C}
{f g : W ⟶ (limit H).obj k}
(w : ∀ j, f ≫ (Limits.limit.π H j).app k = g ≫ (Limits.limit.π H j).app k) : f = g := by
apply (cancel_mono (limitObjIsoLimitCompEvaluation H k).hom).1
ext j
simpa using w j
#align category_theory.limits.limit_obj_ext CategoryTheory.Limits.limit_obj_ext
instance evaluationPreservesColimitsOfShape [HasColimitsOfShape J C] (k : K) :
PreservesColimitsOfShape J ((evaluation K C).obj k) where
preservesColimit {F} := by
-- Porting note: added a let because X was not inferred
let X : (k:K) → ColimitCocone (Prefunctor.obj (Functor.flip F).toPrefunctor k) :=
fun k => getColimitCocone (Prefunctor.obj (Functor.flip F).toPrefunctor k)
refine preservesColimitOfPreservesColimitCocone (combinedIsColimit _ _) <|
IsColimit.ofIsoColimit (colimit.isColimit _) (evaluateCombinedCocones F X k).symm
#align category_theory.limits.evaluation_preserves_colimits_of_shape CategoryTheory.Limits.evaluationPreservesColimitsOfShape
def colimitObjIsoColimitCompEvaluation [HasColimitsOfShape J C] (F : J ⥤ K ⥤ C) (k : K) :
(colimit F).obj k ≅ colimit (F ⋙ (evaluation K C).obj k) :=
preservesColimitIso ((evaluation K C).obj k) F
#align category_theory.limits.colimit_obj_iso_colimit_comp_evaluation CategoryTheory.Limits.colimitObjIsoColimitCompEvaluation
@[reassoc (attr := simp)]
theorem colimitObjIsoColimitCompEvaluation_ι_inv [HasColimitsOfShape J C] (F : J ⥤ K ⥤ C) (j : J)
(k : K) :
colimit.ι (F ⋙ (evaluation K C).obj k) j ≫ (colimitObjIsoColimitCompEvaluation F k).inv =
(colimit.ι F j).app k := by
dsimp [colimitObjIsoColimitCompEvaluation]
simp
#align category_theory.limits.colimit_obj_iso_colimit_comp_evaluation_ι_inv CategoryTheory.Limits.colimitObjIsoColimitCompEvaluation_ι_inv
@[reassoc (attr := simp)]
theorem colimitObjIsoColimitCompEvaluation_ι_app_hom [HasColimitsOfShape J C] (F : J ⥤ K ⥤ C)
(j : J) (k : K) :
(colimit.ι F j).app k ≫ (colimitObjIsoColimitCompEvaluation F k).hom =
colimit.ι (F ⋙ (evaluation K C).obj k) j := by
dsimp [colimitObjIsoColimitCompEvaluation]
rw [← Iso.eq_comp_inv]
simp
#align category_theory.limits.colimit_obj_iso_colimit_comp_evaluation_ι_app_hom CategoryTheory.Limits.colimitObjIsoColimitCompEvaluation_ι_app_hom
@[reassoc (attr := simp)]
| Mathlib/CategoryTheory/Limits/FunctorCategory.lean | 289 | 296 | theorem colimitObjIsoColimitCompEvaluation_inv_colimit_map [HasColimitsOfShape J C] (F : J ⥤ K ⥤ C)
{i j : K} (f : i ⟶ j) :
(colimitObjIsoColimitCompEvaluation _ _).inv ≫ (colimit F).map f =
colimMap (whiskerLeft _ ((evaluation _ _).map f)) ≫
(colimitObjIsoColimitCompEvaluation _ _).inv := by |
ext
dsimp
simp
|
import Mathlib.Topology.Order.MonotoneContinuity
import Mathlib.Topology.Algebra.Order.LiminfLimsup
import Mathlib.Topology.Instances.NNReal
import Mathlib.Topology.EMetricSpace.Lipschitz
import Mathlib.Topology.Metrizable.Basic
import Mathlib.Topology.Order.T5
#align_import topology.instances.ennreal from "leanprover-community/mathlib"@"ec4b2eeb50364487f80421c0b4c41328a611f30d"
noncomputable section
open Set Filter Metric Function
open scoped Classical Topology ENNReal NNReal Filter
variable {α : Type*} {β : Type*} {γ : Type*}
namespace ENNReal
variable {a b c d : ℝ≥0∞} {r p q : ℝ≥0} {x y z : ℝ≥0∞} {ε ε₁ ε₂ : ℝ≥0∞} {s : Set ℝ≥0∞}
section TopologicalSpace
open TopologicalSpace
instance : TopologicalSpace ℝ≥0∞ := Preorder.topology ℝ≥0∞
instance : OrderTopology ℝ≥0∞ := ⟨rfl⟩
-- short-circuit type class inference
instance : T2Space ℝ≥0∞ := inferInstance
instance : T5Space ℝ≥0∞ := inferInstance
instance : T4Space ℝ≥0∞ := inferInstance
instance : SecondCountableTopology ℝ≥0∞ :=
orderIsoUnitIntervalBirational.toHomeomorph.embedding.secondCountableTopology
instance : MetrizableSpace ENNReal :=
orderIsoUnitIntervalBirational.toHomeomorph.embedding.metrizableSpace
theorem embedding_coe : Embedding ((↑) : ℝ≥0 → ℝ≥0∞) :=
coe_strictMono.embedding_of_ordConnected <| by rw [range_coe']; exact ordConnected_Iio
#align ennreal.embedding_coe ENNReal.embedding_coe
theorem isOpen_ne_top : IsOpen { a : ℝ≥0∞ | a ≠ ∞ } := isOpen_ne
#align ennreal.is_open_ne_top ENNReal.isOpen_ne_top
theorem isOpen_Ico_zero : IsOpen (Ico 0 b) := by
rw [ENNReal.Ico_eq_Iio]
exact isOpen_Iio
#align ennreal.is_open_Ico_zero ENNReal.isOpen_Ico_zero
theorem openEmbedding_coe : OpenEmbedding ((↑) : ℝ≥0 → ℝ≥0∞) :=
⟨embedding_coe, by rw [range_coe']; exact isOpen_Iio⟩
#align ennreal.open_embedding_coe ENNReal.openEmbedding_coe
theorem coe_range_mem_nhds : range ((↑) : ℝ≥0 → ℝ≥0∞) ∈ 𝓝 (r : ℝ≥0∞) :=
IsOpen.mem_nhds openEmbedding_coe.isOpen_range <| mem_range_self _
#align ennreal.coe_range_mem_nhds ENNReal.coe_range_mem_nhds
@[norm_cast]
theorem tendsto_coe {f : Filter α} {m : α → ℝ≥0} {a : ℝ≥0} :
Tendsto (fun a => (m a : ℝ≥0∞)) f (𝓝 ↑a) ↔ Tendsto m f (𝓝 a) :=
embedding_coe.tendsto_nhds_iff.symm
#align ennreal.tendsto_coe ENNReal.tendsto_coe
theorem continuous_coe : Continuous ((↑) : ℝ≥0 → ℝ≥0∞) :=
embedding_coe.continuous
#align ennreal.continuous_coe ENNReal.continuous_coe
theorem continuous_coe_iff {α} [TopologicalSpace α] {f : α → ℝ≥0} :
(Continuous fun a => (f a : ℝ≥0∞)) ↔ Continuous f :=
embedding_coe.continuous_iff.symm
#align ennreal.continuous_coe_iff ENNReal.continuous_coe_iff
theorem nhds_coe {r : ℝ≥0} : 𝓝 (r : ℝ≥0∞) = (𝓝 r).map (↑) :=
(openEmbedding_coe.map_nhds_eq r).symm
#align ennreal.nhds_coe ENNReal.nhds_coe
theorem tendsto_nhds_coe_iff {α : Type*} {l : Filter α} {x : ℝ≥0} {f : ℝ≥0∞ → α} :
Tendsto f (𝓝 ↑x) l ↔ Tendsto (f ∘ (↑) : ℝ≥0 → α) (𝓝 x) l := by
rw [nhds_coe, tendsto_map'_iff]
#align ennreal.tendsto_nhds_coe_iff ENNReal.tendsto_nhds_coe_iff
theorem continuousAt_coe_iff {α : Type*} [TopologicalSpace α] {x : ℝ≥0} {f : ℝ≥0∞ → α} :
ContinuousAt f ↑x ↔ ContinuousAt (f ∘ (↑) : ℝ≥0 → α) x :=
tendsto_nhds_coe_iff
#align ennreal.continuous_at_coe_iff ENNReal.continuousAt_coe_iff
theorem nhds_coe_coe {r p : ℝ≥0} :
𝓝 ((r : ℝ≥0∞), (p : ℝ≥0∞)) = (𝓝 (r, p)).map fun p : ℝ≥0 × ℝ≥0 => (↑p.1, ↑p.2) :=
((openEmbedding_coe.prod openEmbedding_coe).map_nhds_eq (r, p)).symm
#align ennreal.nhds_coe_coe ENNReal.nhds_coe_coe
theorem continuous_ofReal : Continuous ENNReal.ofReal :=
(continuous_coe_iff.2 continuous_id).comp continuous_real_toNNReal
#align ennreal.continuous_of_real ENNReal.continuous_ofReal
theorem tendsto_ofReal {f : Filter α} {m : α → ℝ} {a : ℝ} (h : Tendsto m f (𝓝 a)) :
Tendsto (fun a => ENNReal.ofReal (m a)) f (𝓝 (ENNReal.ofReal a)) :=
(continuous_ofReal.tendsto a).comp h
#align ennreal.tendsto_of_real ENNReal.tendsto_ofReal
theorem tendsto_toNNReal {a : ℝ≥0∞} (ha : a ≠ ∞) :
Tendsto ENNReal.toNNReal (𝓝 a) (𝓝 a.toNNReal) := by
lift a to ℝ≥0 using ha
rw [nhds_coe, tendsto_map'_iff]
exact tendsto_id
#align ennreal.tendsto_to_nnreal ENNReal.tendsto_toNNReal
theorem eventuallyEq_of_toReal_eventuallyEq {l : Filter α} {f g : α → ℝ≥0∞}
(hfi : ∀ᶠ x in l, f x ≠ ∞) (hgi : ∀ᶠ x in l, g x ≠ ∞)
(hfg : (fun x => (f x).toReal) =ᶠ[l] fun x => (g x).toReal) : f =ᶠ[l] g := by
filter_upwards [hfi, hgi, hfg] with _ hfx hgx _
rwa [← ENNReal.toReal_eq_toReal hfx hgx]
#align ennreal.eventually_eq_of_to_real_eventually_eq ENNReal.eventuallyEq_of_toReal_eventuallyEq
theorem continuousOn_toNNReal : ContinuousOn ENNReal.toNNReal { a | a ≠ ∞ } := fun _a ha =>
ContinuousAt.continuousWithinAt (tendsto_toNNReal ha)
#align ennreal.continuous_on_to_nnreal ENNReal.continuousOn_toNNReal
theorem tendsto_toReal {a : ℝ≥0∞} (ha : a ≠ ∞) : Tendsto ENNReal.toReal (𝓝 a) (𝓝 a.toReal) :=
NNReal.tendsto_coe.2 <| tendsto_toNNReal ha
#align ennreal.tendsto_to_real ENNReal.tendsto_toReal
lemma continuousOn_toReal : ContinuousOn ENNReal.toReal { a | a ≠ ∞ } :=
NNReal.continuous_coe.comp_continuousOn continuousOn_toNNReal
lemma continuousAt_toReal (hx : x ≠ ∞) : ContinuousAt ENNReal.toReal x :=
continuousOn_toReal.continuousAt (isOpen_ne_top.mem_nhds_iff.mpr hx)
def neTopHomeomorphNNReal : { a | a ≠ ∞ } ≃ₜ ℝ≥0 where
toEquiv := neTopEquivNNReal
continuous_toFun := continuousOn_iff_continuous_restrict.1 continuousOn_toNNReal
continuous_invFun := continuous_coe.subtype_mk _
#align ennreal.ne_top_homeomorph_nnreal ENNReal.neTopHomeomorphNNReal
def ltTopHomeomorphNNReal : { a | a < ∞ } ≃ₜ ℝ≥0 := by
refine (Homeomorph.setCongr ?_).trans neTopHomeomorphNNReal
simp only [mem_setOf_eq, lt_top_iff_ne_top]
#align ennreal.lt_top_homeomorph_nnreal ENNReal.ltTopHomeomorphNNReal
theorem nhds_top : 𝓝 ∞ = ⨅ (a) (_ : a ≠ ∞), 𝓟 (Ioi a) :=
nhds_top_order.trans <| by simp [lt_top_iff_ne_top, Ioi]
#align ennreal.nhds_top ENNReal.nhds_top
theorem nhds_top' : 𝓝 ∞ = ⨅ r : ℝ≥0, 𝓟 (Ioi ↑r) :=
nhds_top.trans <| iInf_ne_top _
#align ennreal.nhds_top' ENNReal.nhds_top'
theorem nhds_top_basis : (𝓝 ∞).HasBasis (fun a => a < ∞) fun a => Ioi a :=
_root_.nhds_top_basis
#align ennreal.nhds_top_basis ENNReal.nhds_top_basis
theorem tendsto_nhds_top_iff_nnreal {m : α → ℝ≥0∞} {f : Filter α} :
Tendsto m f (𝓝 ∞) ↔ ∀ x : ℝ≥0, ∀ᶠ a in f, ↑x < m a := by
simp only [nhds_top', tendsto_iInf, tendsto_principal, mem_Ioi]
#align ennreal.tendsto_nhds_top_iff_nnreal ENNReal.tendsto_nhds_top_iff_nnreal
theorem tendsto_nhds_top_iff_nat {m : α → ℝ≥0∞} {f : Filter α} :
Tendsto m f (𝓝 ∞) ↔ ∀ n : ℕ, ∀ᶠ a in f, ↑n < m a :=
tendsto_nhds_top_iff_nnreal.trans
⟨fun h n => by simpa only [ENNReal.coe_natCast] using h n, fun h x =>
let ⟨n, hn⟩ := exists_nat_gt x
(h n).mono fun y => lt_trans <| by rwa [← ENNReal.coe_natCast, coe_lt_coe]⟩
#align ennreal.tendsto_nhds_top_iff_nat ENNReal.tendsto_nhds_top_iff_nat
theorem tendsto_nhds_top {m : α → ℝ≥0∞} {f : Filter α} (h : ∀ n : ℕ, ∀ᶠ a in f, ↑n < m a) :
Tendsto m f (𝓝 ∞) :=
tendsto_nhds_top_iff_nat.2 h
#align ennreal.tendsto_nhds_top ENNReal.tendsto_nhds_top
theorem tendsto_nat_nhds_top : Tendsto (fun n : ℕ => ↑n) atTop (𝓝 ∞) :=
tendsto_nhds_top fun n =>
mem_atTop_sets.2 ⟨n + 1, fun _m hm => mem_setOf.2 <| Nat.cast_lt.2 <| Nat.lt_of_succ_le hm⟩
#align ennreal.tendsto_nat_nhds_top ENNReal.tendsto_nat_nhds_top
@[simp, norm_cast]
theorem tendsto_coe_nhds_top {f : α → ℝ≥0} {l : Filter α} :
Tendsto (fun x => (f x : ℝ≥0∞)) l (𝓝 ∞) ↔ Tendsto f l atTop := by
rw [tendsto_nhds_top_iff_nnreal, atTop_basis_Ioi.tendsto_right_iff]; simp
#align ennreal.tendsto_coe_nhds_top ENNReal.tendsto_coe_nhds_top
theorem tendsto_ofReal_atTop : Tendsto ENNReal.ofReal atTop (𝓝 ∞) :=
tendsto_coe_nhds_top.2 tendsto_real_toNNReal_atTop
#align ennreal.tendsto_of_real_at_top ENNReal.tendsto_ofReal_atTop
theorem nhds_zero : 𝓝 (0 : ℝ≥0∞) = ⨅ (a) (_ : a ≠ 0), 𝓟 (Iio a) :=
nhds_bot_order.trans <| by simp [pos_iff_ne_zero, Iio]
#align ennreal.nhds_zero ENNReal.nhds_zero
theorem nhds_zero_basis : (𝓝 (0 : ℝ≥0∞)).HasBasis (fun a : ℝ≥0∞ => 0 < a) fun a => Iio a :=
nhds_bot_basis
#align ennreal.nhds_zero_basis ENNReal.nhds_zero_basis
theorem nhds_zero_basis_Iic : (𝓝 (0 : ℝ≥0∞)).HasBasis (fun a : ℝ≥0∞ => 0 < a) Iic :=
nhds_bot_basis_Iic
#align ennreal.nhds_zero_basis_Iic ENNReal.nhds_zero_basis_Iic
-- Porting note (#11215): TODO: add a TC for `≠ ∞`?
@[instance]
theorem nhdsWithin_Ioi_coe_neBot {r : ℝ≥0} : (𝓝[>] (r : ℝ≥0∞)).NeBot :=
nhdsWithin_Ioi_self_neBot' ⟨∞, ENNReal.coe_lt_top⟩
#align ennreal.nhds_within_Ioi_coe_ne_bot ENNReal.nhdsWithin_Ioi_coe_neBot
@[instance]
theorem nhdsWithin_Ioi_zero_neBot : (𝓝[>] (0 : ℝ≥0∞)).NeBot :=
nhdsWithin_Ioi_coe_neBot
#align ennreal.nhds_within_Ioi_zero_ne_bot ENNReal.nhdsWithin_Ioi_zero_neBot
@[instance]
theorem nhdsWithin_Ioi_one_neBot : (𝓝[>] (1 : ℝ≥0∞)).NeBot := nhdsWithin_Ioi_coe_neBot
@[instance]
theorem nhdsWithin_Ioi_nat_neBot (n : ℕ) : (𝓝[>] (n : ℝ≥0∞)).NeBot := nhdsWithin_Ioi_coe_neBot
@[instance]
theorem nhdsWithin_Ioi_ofNat_nebot (n : ℕ) [n.AtLeastTwo] :
(𝓝[>] (OfNat.ofNat n : ℝ≥0∞)).NeBot := nhdsWithin_Ioi_coe_neBot
@[instance]
theorem nhdsWithin_Iio_neBot [NeZero x] : (𝓝[<] x).NeBot :=
nhdsWithin_Iio_self_neBot' ⟨0, NeZero.pos x⟩
theorem hasBasis_nhds_of_ne_top' (xt : x ≠ ∞) :
(𝓝 x).HasBasis (· ≠ 0) (fun ε => Icc (x - ε) (x + ε)) := by
rcases (zero_le x).eq_or_gt with rfl | x0
· simp_rw [zero_tsub, zero_add, ← bot_eq_zero, Icc_bot, ← bot_lt_iff_ne_bot]
exact nhds_bot_basis_Iic
· refine (nhds_basis_Ioo' ⟨_, x0⟩ ⟨_, xt.lt_top⟩).to_hasBasis ?_ fun ε ε0 => ?_
· rintro ⟨a, b⟩ ⟨ha, hb⟩
rcases exists_between (tsub_pos_of_lt ha) with ⟨ε, ε0, hε⟩
rcases lt_iff_exists_add_pos_lt.1 hb with ⟨δ, δ0, hδ⟩
refine ⟨min ε δ, (lt_min ε0 (coe_pos.2 δ0)).ne', Icc_subset_Ioo ?_ ?_⟩
· exact lt_tsub_comm.2 ((min_le_left _ _).trans_lt hε)
· exact (add_le_add_left (min_le_right _ _) _).trans_lt hδ
· exact ⟨(x - ε, x + ε), ⟨ENNReal.sub_lt_self xt x0.ne' ε0,
lt_add_right xt ε0⟩, Ioo_subset_Icc_self⟩
| Mathlib/Topology/Instances/ENNReal.lean | 258 | 260 | theorem hasBasis_nhds_of_ne_top (xt : x ≠ ∞) :
(𝓝 x).HasBasis (0 < ·) (fun ε => Icc (x - ε) (x + ε)) := by |
simpa only [pos_iff_ne_zero] using hasBasis_nhds_of_ne_top' xt
|
import Mathlib.Control.EquivFunctor
import Mathlib.CategoryTheory.Groupoid
import Mathlib.CategoryTheory.Whiskering
import Mathlib.CategoryTheory.Types
#align_import category_theory.core from "leanprover-community/mathlib"@"369525b73f229ccd76a6ec0e0e0bf2be57599768"
namespace CategoryTheory
universe v₁ v₂ u₁ u₂
-- morphism levels before object levels. See note [CategoryTheory universes].
-- Porting note(#5171): linter not yet ported
-- @[nolint has_nonempty_instance]
def Core (C : Type u₁) := C
#align category_theory.core CategoryTheory.Core
variable {C : Type u₁} [Category.{v₁} C]
instance coreCategory : Groupoid.{v₁} (Core C) where
Hom (X Y : C) := X ≅ Y
id (X : C) := Iso.refl X
comp f g := Iso.trans f g
inv {X Y} f := Iso.symm f
#align category_theory.core_category CategoryTheory.coreCategory
namespace Core
@[simp]
| Mathlib/CategoryTheory/Core.lean | 52 | 53 | theorem id_hom (X : C) : Iso.hom (coreCategory.id X) = @CategoryStruct.id C _ X := by |
rfl
|
import Mathlib.ModelTheory.Syntax
import Mathlib.ModelTheory.Semantics
import Mathlib.Algebra.Ring.Equiv
variable {α : Type*}
namespace FirstOrder
open FirstOrder
inductive ringFunc : ℕ → Type
| add : ringFunc 2
| mul : ringFunc 2
| neg : ringFunc 1
| zero : ringFunc 0
| one : ringFunc 0
deriving DecidableEq
def Language.ring : Language :=
{ Functions := ringFunc
Relations := fun _ => Empty }
namespace Ring
open ringFunc Language
instance (n : ℕ) : DecidableEq (Language.ring.Functions n) := by
dsimp [Language.ring]; infer_instance
instance (n : ℕ) : DecidableEq (Language.ring.Relations n) := by
dsimp [Language.ring]; infer_instance
abbrev addFunc : Language.ring.Functions 2 := add
abbrev mulFunc : Language.ring.Functions 2 := mul
abbrev negFunc : Language.ring.Functions 1 := neg
abbrev zeroFunc : Language.ring.Functions 0 := zero
abbrev oneFunc : Language.ring.Functions 0 := one
instance (α : Type*) : Zero (Language.ring.Term α) :=
{ zero := Constants.term zeroFunc }
theorem zero_def (α : Type*) : (0 : Language.ring.Term α) = Constants.term zeroFunc := rfl
instance (α : Type*) : One (Language.ring.Term α) :=
{ one := Constants.term oneFunc }
theorem one_def (α : Type*) : (1 : Language.ring.Term α) = Constants.term oneFunc := rfl
instance (α : Type*) : Add (Language.ring.Term α) :=
{ add := addFunc.apply₂ }
theorem add_def (α : Type*) (t₁ t₂ : Language.ring.Term α) :
t₁ + t₂ = addFunc.apply₂ t₁ t₂ := rfl
instance (α : Type*) : Mul (Language.ring.Term α) :=
{ mul := mulFunc.apply₂ }
theorem mul_def (α : Type*) (t₁ t₂ : Language.ring.Term α) :
t₁ * t₂ = mulFunc.apply₂ t₁ t₂ := rfl
instance (α : Type*) : Neg (Language.ring.Term α) :=
{ neg := negFunc.apply₁ }
theorem neg_def (α : Type*) (t : Language.ring.Term α) :
-t = negFunc.apply₁ t := rfl
instance : Fintype Language.ring.Symbols :=
⟨⟨Multiset.ofList
[Sum.inl ⟨2, .add⟩,
Sum.inl ⟨2, .mul⟩,
Sum.inl ⟨1, .neg⟩,
Sum.inl ⟨0, .zero⟩,
Sum.inl ⟨0, .one⟩], by
dsimp [Language.Symbols]; decide⟩, by
intro x
dsimp [Language.Symbols]
rcases x with ⟨_, f⟩ | ⟨_, f⟩
· cases f <;> decide
· cases f ⟩
@[simp]
theorem card_ring : card Language.ring = 5 := by
have : Fintype.card Language.ring.Symbols = 5 := rfl
simp [Language.card, this]
open Language ring Structure
class CompatibleRing (R : Type*) [Add R] [Mul R] [Neg R] [One R] [Zero R]
extends Language.ring.Structure R where
funMap_add : ∀ x, funMap addFunc x = x 0 + x 1
funMap_mul : ∀ x, funMap mulFunc x = x 0 * x 1
funMap_neg : ∀ x, funMap negFunc x = -x 0
funMap_zero : ∀ x, funMap (zeroFunc : Language.ring.Constants) x = 0
funMap_one : ∀ x, funMap (oneFunc : Language.ring.Constants) x = 1
open CompatibleRing
attribute [simp] funMap_add funMap_mul funMap_neg funMap_zero funMap_one
section
variable {R : Type*} [Add R] [Mul R] [Neg R] [One R] [Zero R] [CompatibleRing R]
@[simp]
theorem realize_add (x y : ring.Term α) (v : α → R) :
Term.realize v (x + y) = Term.realize v x + Term.realize v y := by
simp [add_def, funMap_add]
@[simp]
theorem realize_mul (x y : ring.Term α) (v : α → R) :
Term.realize v (x * y) = Term.realize v x * Term.realize v y := by
simp [mul_def, funMap_mul]
@[simp]
theorem realize_neg (x : ring.Term α) (v : α → R) :
Term.realize v (-x) = -Term.realize v x := by
simp [neg_def, funMap_neg]
@[simp]
| Mathlib/ModelTheory/Algebra/Ring/Basic.lean | 195 | 196 | theorem realize_zero (v : α → R) : Term.realize v (0 : ring.Term α) = 0 := by |
simp [zero_def, funMap_zero, constantMap]
|
import Mathlib.Analysis.Calculus.FDeriv.Add
import Mathlib.Analysis.Calculus.FDeriv.Equiv
import Mathlib.Analysis.Calculus.FDeriv.Prod
import Mathlib.Analysis.Calculus.Monotone
import Mathlib.Data.Set.Function
import Mathlib.Algebra.Group.Basic
import Mathlib.Tactic.WLOG
#align_import analysis.bounded_variation from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe"
open scoped NNReal ENNReal Topology UniformConvergence
open Set MeasureTheory Filter
-- Porting note: sectioned variables because a `wlog` was broken due to extra variables in context
variable {α : Type*} [LinearOrder α] {E : Type*} [PseudoEMetricSpace E]
noncomputable def eVariationOn (f : α → E) (s : Set α) : ℝ≥0∞ :=
⨆ p : ℕ × { u : ℕ → α // Monotone u ∧ ∀ i, u i ∈ s },
∑ i ∈ Finset.range p.1, edist (f (p.2.1 (i + 1))) (f (p.2.1 i))
#align evariation_on eVariationOn
def BoundedVariationOn (f : α → E) (s : Set α) :=
eVariationOn f s ≠ ∞
#align has_bounded_variation_on BoundedVariationOn
def LocallyBoundedVariationOn (f : α → E) (s : Set α) :=
∀ a b, a ∈ s → b ∈ s → BoundedVariationOn f (s ∩ Icc a b)
#align has_locally_bounded_variation_on LocallyBoundedVariationOn
namespace eVariationOn
theorem nonempty_monotone_mem {s : Set α} (hs : s.Nonempty) :
Nonempty { u // Monotone u ∧ ∀ i : ℕ, u i ∈ s } := by
obtain ⟨x, hx⟩ := hs
exact ⟨⟨fun _ => x, fun i j _ => le_rfl, fun _ => hx⟩⟩
#align evariation_on.nonempty_monotone_mem eVariationOn.nonempty_monotone_mem
theorem eq_of_edist_zero_on {f f' : α → E} {s : Set α} (h : ∀ ⦃x⦄, x ∈ s → edist (f x) (f' x) = 0) :
eVariationOn f s = eVariationOn f' s := by
dsimp only [eVariationOn]
congr 1 with p : 1
congr 1 with i : 1
rw [edist_congr_right (h <| p.snd.prop.2 (i + 1)), edist_congr_left (h <| p.snd.prop.2 i)]
#align evariation_on.eq_of_edist_zero_on eVariationOn.eq_of_edist_zero_on
theorem eq_of_eqOn {f f' : α → E} {s : Set α} (h : EqOn f f' s) :
eVariationOn f s = eVariationOn f' s :=
eq_of_edist_zero_on fun x xs => by rw [h xs, edist_self]
#align evariation_on.eq_of_eq_on eVariationOn.eq_of_eqOn
theorem sum_le (f : α → E) {s : Set α} (n : ℕ) {u : ℕ → α} (hu : Monotone u) (us : ∀ i, u i ∈ s) :
(∑ i ∈ Finset.range n, edist (f (u (i + 1))) (f (u i))) ≤ eVariationOn f s :=
le_iSup_of_le ⟨n, u, hu, us⟩ le_rfl
#align evariation_on.sum_le eVariationOn.sum_le
theorem sum_le_of_monotoneOn_Icc (f : α → E) {s : Set α} {m n : ℕ} {u : ℕ → α}
(hu : MonotoneOn u (Icc m n)) (us : ∀ i ∈ Icc m n, u i ∈ s) :
(∑ i ∈ Finset.Ico m n, edist (f (u (i + 1))) (f (u i))) ≤ eVariationOn f s := by
rcases le_total n m with hnm | hmn
· simp [Finset.Ico_eq_empty_of_le hnm]
let π := projIcc m n hmn
let v i := u (π i)
calc
∑ i ∈ Finset.Ico m n, edist (f (u (i + 1))) (f (u i))
= ∑ i ∈ Finset.Ico m n, edist (f (v (i + 1))) (f (v i)) :=
Finset.sum_congr rfl fun i hi ↦ by
rw [Finset.mem_Ico] at hi
simp only [v, π, projIcc_of_mem hmn ⟨hi.1, hi.2.le⟩,
projIcc_of_mem hmn ⟨hi.1.trans i.le_succ, hi.2⟩]
_ ≤ ∑ i ∈ Finset.range n, edist (f (v (i + 1))) (f (v i)) :=
Finset.sum_mono_set _ (Nat.Iio_eq_range ▸ Finset.Ico_subset_Iio_self)
_ ≤ eVariationOn f s :=
sum_le _ _ (fun i j h ↦ hu (π i).2 (π j).2 (monotone_projIcc hmn h)) fun i ↦ us _ (π i).2
#align evariation_on.sum_le_of_monotone_on_Icc eVariationOn.sum_le_of_monotoneOn_Icc
| Mathlib/Analysis/BoundedVariation.lean | 127 | 130 | theorem sum_le_of_monotoneOn_Iic (f : α → E) {s : Set α} {n : ℕ} {u : ℕ → α}
(hu : MonotoneOn u (Iic n)) (us : ∀ i ≤ n, u i ∈ s) :
(∑ i ∈ Finset.range n, edist (f (u (i + 1))) (f (u i))) ≤ eVariationOn f s := by |
simpa using sum_le_of_monotoneOn_Icc f (m := 0) (hu.mono Icc_subset_Iic_self) fun i hi ↦ us i hi.2
|
import Mathlib.Algebra.Lie.Submodule
#align_import algebra.lie.ideal_operations from "leanprover-community/mathlib"@"8983bec7cdf6cb2dd1f21315c8a34ab00d7b2f6d"
universe u v w w₁ w₂
namespace LieSubmodule
variable {R : Type u} {L : Type v} {M : Type w} {M₂ : Type w₁}
variable [CommRing R] [LieRing L] [LieAlgebra R L]
variable [AddCommGroup M] [Module R M] [LieRingModule L M] [LieModule R L M]
variable [AddCommGroup M₂] [Module R M₂] [LieRingModule L M₂] [LieModule R L M₂]
variable (N N' : LieSubmodule R L M) (I J : LieIdeal R L) (N₂ : LieSubmodule R L M₂)
section LieIdealOperations
instance hasBracket : Bracket (LieIdeal R L) (LieSubmodule R L M) :=
⟨fun I N => lieSpan R L { m | ∃ (x : I) (n : N), ⁅(x : L), (n : M)⁆ = m }⟩
#align lie_submodule.has_bracket LieSubmodule.hasBracket
theorem lieIdeal_oper_eq_span :
⁅I, N⁆ = lieSpan R L { m | ∃ (x : I) (n : N), ⁅(x : L), (n : M)⁆ = m } :=
rfl
#align lie_submodule.lie_ideal_oper_eq_span LieSubmodule.lieIdeal_oper_eq_span
theorem lieIdeal_oper_eq_linear_span :
(↑⁅I, N⁆ : Submodule R M) =
Submodule.span R { m | ∃ (x : I) (n : N), ⁅(x : L), (n : M)⁆ = m } := by
apply le_antisymm
· let s := { m : M | ∃ (x : ↥I) (n : ↥N), ⁅(x : L), (n : M)⁆ = m }
have aux : ∀ (y : L), ∀ m' ∈ Submodule.span R s, ⁅y, m'⁆ ∈ Submodule.span R s := by
intro y m' hm'
refine Submodule.span_induction (R := R) (M := M) (s := s)
(p := fun m' ↦ ⁅y, m'⁆ ∈ Submodule.span R s) hm' ?_ ?_ ?_ ?_
· rintro m'' ⟨x, n, hm''⟩; rw [← hm'', leibniz_lie]
refine Submodule.add_mem _ ?_ ?_ <;> apply Submodule.subset_span
· use ⟨⁅y, ↑x⁆, I.lie_mem x.property⟩, n
· use x, ⟨⁅y, ↑n⁆, N.lie_mem n.property⟩
· simp only [lie_zero, Submodule.zero_mem]
· intro m₁ m₂ hm₁ hm₂; rw [lie_add]; exact Submodule.add_mem _ hm₁ hm₂
· intro t m'' hm''; rw [lie_smul]; exact Submodule.smul_mem _ t hm''
change _ ≤ ({ Submodule.span R s with lie_mem := fun hm' => aux _ _ hm' } : LieSubmodule R L M)
rw [lieIdeal_oper_eq_span, lieSpan_le]
exact Submodule.subset_span
· rw [lieIdeal_oper_eq_span]; apply submodule_span_le_lieSpan
#align lie_submodule.lie_ideal_oper_eq_linear_span LieSubmodule.lieIdeal_oper_eq_linear_span
theorem lieIdeal_oper_eq_linear_span' :
(↑⁅I, N⁆ : Submodule R M) = Submodule.span R { m | ∃ x ∈ I, ∃ n ∈ N, ⁅x, n⁆ = m } := by
rw [lieIdeal_oper_eq_linear_span]
congr
ext m
constructor
· rintro ⟨⟨x, hx⟩, ⟨n, hn⟩, rfl⟩
exact ⟨x, hx, n, hn, rfl⟩
· rintro ⟨x, hx, n, hn, rfl⟩
exact ⟨⟨x, hx⟩, ⟨n, hn⟩, rfl⟩
#align lie_submodule.lie_ideal_oper_eq_linear_span' LieSubmodule.lieIdeal_oper_eq_linear_span'
theorem lie_le_iff : ⁅I, N⁆ ≤ N' ↔ ∀ x ∈ I, ∀ m ∈ N, ⁅x, m⁆ ∈ N' := by
rw [lieIdeal_oper_eq_span, LieSubmodule.lieSpan_le]
refine ⟨fun h x hx m hm => h ⟨⟨x, hx⟩, ⟨m, hm⟩, rfl⟩, ?_⟩
rintro h _ ⟨⟨x, hx⟩, ⟨m, hm⟩, rfl⟩
exact h x hx m hm
#align lie_submodule.lie_le_iff LieSubmodule.lie_le_iff
theorem lie_coe_mem_lie (x : I) (m : N) : ⁅(x : L), (m : M)⁆ ∈ ⁅I, N⁆ := by
rw [lieIdeal_oper_eq_span]; apply subset_lieSpan; use x, m
#align lie_submodule.lie_coe_mem_lie LieSubmodule.lie_coe_mem_lie
theorem lie_mem_lie {x : L} {m : M} (hx : x ∈ I) (hm : m ∈ N) : ⁅x, m⁆ ∈ ⁅I, N⁆ :=
N.lie_coe_mem_lie I ⟨x, hx⟩ ⟨m, hm⟩
#align lie_submodule.lie_mem_lie LieSubmodule.lie_mem_lie
theorem lie_comm : ⁅I, J⁆ = ⁅J, I⁆ := by
suffices ∀ I J : LieIdeal R L, ⁅I, J⁆ ≤ ⁅J, I⁆ by exact le_antisymm (this I J) (this J I)
clear! I J; intro I J
rw [lieIdeal_oper_eq_span, lieSpan_le]; rintro x ⟨y, z, h⟩; rw [← h]
rw [← lie_skew, ← lie_neg, ← LieSubmodule.coe_neg]
apply lie_coe_mem_lie
#align lie_submodule.lie_comm LieSubmodule.lie_comm
theorem lie_le_right : ⁅I, N⁆ ≤ N := by
rw [lieIdeal_oper_eq_span, lieSpan_le]; rintro m ⟨x, n, hn⟩; rw [← hn]
exact N.lie_mem n.property
#align lie_submodule.lie_le_right LieSubmodule.lie_le_right
theorem lie_le_left : ⁅I, J⁆ ≤ I := by rw [lie_comm]; exact lie_le_right I J
#align lie_submodule.lie_le_left LieSubmodule.lie_le_left
theorem lie_le_inf : ⁅I, J⁆ ≤ I ⊓ J := by rw [le_inf_iff]; exact ⟨lie_le_left I J, lie_le_right J I⟩
#align lie_submodule.lie_le_inf LieSubmodule.lie_le_inf
@[simp]
theorem lie_bot : ⁅I, (⊥ : LieSubmodule R L M)⁆ = ⊥ := by rw [eq_bot_iff]; apply lie_le_right
#align lie_submodule.lie_bot LieSubmodule.lie_bot
@[simp]
theorem bot_lie : ⁅(⊥ : LieIdeal R L), N⁆ = ⊥ := by
suffices ⁅(⊥ : LieIdeal R L), N⁆ ≤ ⊥ by exact le_bot_iff.mp this
rw [lieIdeal_oper_eq_span, lieSpan_le]; rintro m ⟨⟨x, hx⟩, n, hn⟩; rw [← hn]
change x ∈ (⊥ : LieIdeal R L) at hx; rw [mem_bot] at hx; simp [hx]
#align lie_submodule.bot_lie LieSubmodule.bot_lie
theorem lie_eq_bot_iff : ⁅I, N⁆ = ⊥ ↔ ∀ x ∈ I, ∀ m ∈ N, ⁅(x : L), m⁆ = 0 := by
rw [lieIdeal_oper_eq_span, LieSubmodule.lieSpan_eq_bot_iff]
refine ⟨fun h x hx m hm => h ⁅x, m⁆ ⟨⟨x, hx⟩, ⟨m, hm⟩, rfl⟩, ?_⟩
rintro h - ⟨⟨x, hx⟩, ⟨⟨n, hn⟩, rfl⟩⟩
exact h x hx n hn
#align lie_submodule.lie_eq_bot_iff LieSubmodule.lie_eq_bot_iff
theorem mono_lie (h₁ : I ≤ J) (h₂ : N ≤ N') : ⁅I, N⁆ ≤ ⁅J, N'⁆ := by
intro m h
rw [lieIdeal_oper_eq_span, mem_lieSpan] at h; rw [lieIdeal_oper_eq_span, mem_lieSpan]
intro N hN; apply h; rintro m' ⟨⟨x, hx⟩, ⟨n, hn⟩, hm⟩; rw [← hm]; apply hN
use ⟨x, h₁ hx⟩, ⟨n, h₂ hn⟩
#align lie_submodule.mono_lie LieSubmodule.mono_lie
theorem mono_lie_left (h : I ≤ J) : ⁅I, N⁆ ≤ ⁅J, N⁆ :=
mono_lie _ _ _ _ h (le_refl N)
#align lie_submodule.mono_lie_left LieSubmodule.mono_lie_left
theorem mono_lie_right (h : N ≤ N') : ⁅I, N⁆ ≤ ⁅I, N'⁆ :=
mono_lie _ _ _ _ (le_refl I) h
#align lie_submodule.mono_lie_right LieSubmodule.mono_lie_right
@[simp]
| Mathlib/Algebra/Lie/IdealOperations.lean | 164 | 173 | theorem lie_sup : ⁅I, N ⊔ N'⁆ = ⁅I, N⁆ ⊔ ⁅I, N'⁆ := by |
have h : ⁅I, N⁆ ⊔ ⁅I, N'⁆ ≤ ⁅I, N ⊔ N'⁆ := by
rw [sup_le_iff]; constructor <;>
apply mono_lie_right <;> [exact le_sup_left; exact le_sup_right]
suffices ⁅I, N ⊔ N'⁆ ≤ ⁅I, N⁆ ⊔ ⁅I, N'⁆ by exact le_antisymm this h
rw [lieIdeal_oper_eq_span, lieSpan_le]; rintro m ⟨x, ⟨n, hn⟩, h⟩; erw [LieSubmodule.mem_sup]
erw [LieSubmodule.mem_sup] at hn; rcases hn with ⟨n₁, hn₁, n₂, hn₂, hn'⟩
use ⁅(x : L), (⟨n₁, hn₁⟩ : N)⁆; constructor; · apply lie_coe_mem_lie
use ⁅(x : L), (⟨n₂, hn₂⟩ : N')⁆; constructor; · apply lie_coe_mem_lie
simp [← h, ← hn']
|
import Mathlib.Algebra.Group.Equiv.TypeTags
import Mathlib.GroupTheory.FreeAbelianGroup
import Mathlib.GroupTheory.FreeGroup.IsFreeGroup
import Mathlib.LinearAlgebra.Dimension.StrongRankCondition
#align_import group_theory.free_abelian_group_finsupp from "leanprover-community/mathlib"@"47b51515e69f59bca5cf34ef456e6000fe205a69"
noncomputable section
variable {X : Type*}
def FreeAbelianGroup.toFinsupp : FreeAbelianGroup X →+ X →₀ ℤ :=
FreeAbelianGroup.lift fun x => Finsupp.single x (1 : ℤ)
#align free_abelian_group.to_finsupp FreeAbelianGroup.toFinsupp
def Finsupp.toFreeAbelianGroup : (X →₀ ℤ) →+ FreeAbelianGroup X :=
Finsupp.liftAddHom fun x => (smulAddHom ℤ (FreeAbelianGroup X)).flip (FreeAbelianGroup.of x)
#align finsupp.to_free_abelian_group Finsupp.toFreeAbelianGroup
open Finsupp FreeAbelianGroup
@[simp]
theorem Finsupp.toFreeAbelianGroup_comp_singleAddHom (x : X) :
Finsupp.toFreeAbelianGroup.comp (Finsupp.singleAddHom x) =
(smulAddHom ℤ (FreeAbelianGroup X)).flip (of x) := by
ext
simp only [AddMonoidHom.coe_comp, Finsupp.singleAddHom_apply, Function.comp_apply, one_smul,
toFreeAbelianGroup, Finsupp.liftAddHom_apply_single]
#align finsupp.to_free_abelian_group_comp_single_add_hom Finsupp.toFreeAbelianGroup_comp_singleAddHom
@[simp]
theorem FreeAbelianGroup.toFinsupp_comp_toFreeAbelianGroup :
toFinsupp.comp toFreeAbelianGroup = AddMonoidHom.id (X →₀ ℤ) := by
ext x y; simp only [AddMonoidHom.id_comp]
rw [AddMonoidHom.comp_assoc, Finsupp.toFreeAbelianGroup_comp_singleAddHom]
simp only [toFinsupp, AddMonoidHom.coe_comp, Finsupp.singleAddHom_apply, Function.comp_apply,
one_smul, lift.of, AddMonoidHom.flip_apply, smulAddHom_apply, AddMonoidHom.id_apply]
#align free_abelian_group.to_finsupp_comp_to_free_abelian_group FreeAbelianGroup.toFinsupp_comp_toFreeAbelianGroup
@[simp]
theorem Finsupp.toFreeAbelianGroup_comp_toFinsupp :
toFreeAbelianGroup.comp toFinsupp = AddMonoidHom.id (FreeAbelianGroup X) := by
ext
rw [toFreeAbelianGroup, toFinsupp, AddMonoidHom.comp_apply, lift.of,
liftAddHom_apply_single, AddMonoidHom.flip_apply, smulAddHom_apply, one_smul,
AddMonoidHom.id_apply]
#align finsupp.to_free_abelian_group_comp_to_finsupp Finsupp.toFreeAbelianGroup_comp_toFinsupp
@[simp]
theorem Finsupp.toFreeAbelianGroup_toFinsupp {X} (x : FreeAbelianGroup X) :
Finsupp.toFreeAbelianGroup (FreeAbelianGroup.toFinsupp x) = x := by
rw [← AddMonoidHom.comp_apply, Finsupp.toFreeAbelianGroup_comp_toFinsupp, AddMonoidHom.id_apply]
#align finsupp.to_free_abelian_group_to_finsupp Finsupp.toFreeAbelianGroup_toFinsupp
namespace FreeAbelianGroup
open Finsupp
@[simp]
theorem toFinsupp_of (x : X) : toFinsupp (of x) = Finsupp.single x 1 := by
simp only [toFinsupp, lift.of]
#align free_abelian_group.to_finsupp_of FreeAbelianGroup.toFinsupp_of
@[simp]
| Mathlib/GroupTheory/FreeAbelianGroupFinsupp.lean | 87 | 89 | theorem toFinsupp_toFreeAbelianGroup (f : X →₀ ℤ) :
FreeAbelianGroup.toFinsupp (Finsupp.toFreeAbelianGroup f) = f := by |
rw [← AddMonoidHom.comp_apply, toFinsupp_comp_toFreeAbelianGroup, AddMonoidHom.id_apply]
|
import Mathlib.Data.ENNReal.Operations
#align_import data.real.ennreal from "leanprover-community/mathlib"@"c14c8fcde993801fca8946b0d80131a1a81d1520"
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]
#align ennreal.div_eq_inv_mul ENNReal.div_eq_inv_mul
@[simp] theorem inv_zero : (0 : ℝ≥0∞)⁻¹ = ∞ :=
show sInf { b : ℝ≥0∞ | 1 ≤ 0 * b } = ∞ by simp
#align ennreal.inv_zero ENNReal.inv_zero
@[simp] theorem inv_top : ∞⁻¹ = 0 :=
bot_unique <| le_of_forall_le_of_dense fun a (h : 0 < a) => sInf_le <| by simp [*, h.ne', top_mul]
#align ennreal.inv_top ENNReal.inv_top
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
#align ennreal.coe_inv_le ENNReal.coe_inv_le
@[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_cancel hr, coe_one]
#align ennreal.coe_inv ENNReal.coe_inv
@[norm_cast]
theorem coe_inv_two : ((2⁻¹ : ℝ≥0) : ℝ≥0∞) = 2⁻¹ := by rw [coe_inv _root_.two_ne_zero, coe_two]
#align ennreal.coe_inv_two ENNReal.coe_inv_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]
#align ennreal.coe_div ENNReal.coe_div
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]
#align ennreal.div_zero ENNReal.div_zero
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]
#align ennreal.inv_pow ENNReal.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_cancel h0
#align ennreal.mul_inv_cancel ENNReal.mul_inv_cancel
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
#align ennreal.inv_mul_cancel ENNReal.inv_mul_cancel
protected theorem div_mul_cancel (h0 : a ≠ 0) (hI : a ≠ ∞) : b / a * a = b := by
rw [div_eq_mul_inv, mul_assoc, ENNReal.inv_mul_cancel h0 hI, mul_one]
#align ennreal.div_mul_cancel ENNReal.div_mul_cancel
protected theorem mul_div_cancel' (h0 : a ≠ 0) (hI : a ≠ ∞) : a * (b / a) = b := by
rw [mul_comm, ENNReal.div_mul_cancel h0 hI]
#align ennreal.mul_div_cancel' ENNReal.mul_div_cancel'
-- Porting note: `simp only [div_eq_mul_inv, mul_comm, mul_assoc]` doesn't work in the following two
protected theorem mul_comm_div : a / b * c = a * (c / b) := by
simp only [div_eq_mul_inv, mul_right_comm, ← mul_assoc]
#align ennreal.mul_comm_div ENNReal.mul_comm_div
protected theorem mul_div_right_comm : a * b / c = a / c * b := by
simp only [div_eq_mul_inv, mul_right_comm]
#align ennreal.mul_div_right_comm ENNReal.mul_div_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
#align ennreal.inv_eq_top ENNReal.inv_eq_top
theorem inv_ne_top : a⁻¹ ≠ ∞ ↔ a ≠ 0 := by simp
#align ennreal.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]
#align ennreal.inv_lt_top ENNReal.inv_lt_top
theorem div_lt_top {x y : ℝ≥0∞} (h1 : x ≠ ∞) (h2 : y ≠ 0) : x / y < ∞ :=
mul_lt_top h1 (inv_ne_top.mpr h2)
#align ennreal.div_lt_top ENNReal.div_lt_top
@[simp]
protected theorem inv_eq_zero : a⁻¹ = 0 ↔ a = ∞ :=
inv_top ▸ inv_inj
#align ennreal.inv_eq_zero ENNReal.inv_eq_zero
protected theorem inv_ne_zero : a⁻¹ ≠ 0 ↔ a ≠ ∞ := by simp
#align ennreal.inv_ne_zero ENNReal.inv_ne_zero
protected theorem div_pos (ha : a ≠ 0) (hb : b ≠ ∞) : 0 < a / b :=
ENNReal.mul_pos ha <| ENNReal.inv_ne_zero.2 hb
#align ennreal.div_pos ENNReal.div_pos
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]
by_cases h'b : b = 0
· simp only [h'b, ENNReal.inv_zero, ENNReal.coe_ne_top, mul_top, Ne, not_false_iff,
mul_zero, ENNReal.coe_zero, ENNReal.inv_eq_zero]
rw [← ENNReal.coe_mul, ← ENNReal.coe_inv, ← ENNReal.coe_inv h'a, ← ENNReal.coe_inv h'b, ←
ENNReal.coe_mul, mul_inv_rev, mul_comm]
simp [h'a, h'b]
#align ennreal.mul_inv ENNReal.mul_inv
protected theorem mul_div_mul_left (a b : ℝ≥0∞) (hc : c ≠ 0) (hc' : c ≠ ⊤) :
c * a / (c * b) = a / b := by
rw [div_eq_mul_inv, div_eq_mul_inv, ENNReal.mul_inv (Or.inl hc) (Or.inl hc'), mul_mul_mul_comm,
ENNReal.mul_inv_cancel hc hc', one_mul]
#align ennreal.mul_div_mul_left ENNReal.mul_div_mul_left
protected theorem mul_div_mul_right (a b : ℝ≥0∞) (hc : c ≠ 0) (hc' : c ≠ ⊤) :
a * c / (b * c) = a / b := by
rw [div_eq_mul_inv, div_eq_mul_inv, ENNReal.mul_inv (Or.inr hc') (Or.inr hc), mul_mul_mul_comm,
ENNReal.mul_inv_cancel hc hc', mul_one]
#align ennreal.mul_div_mul_right ENNReal.mul_div_mul_right
protected theorem sub_div (h : 0 < b → b < a → c ≠ 0) : (a - b) / c = a / c - b / c := by
simp_rw [div_eq_mul_inv]
exact ENNReal.sub_mul (by simpa using h)
#align ennreal.sub_div ENNReal.sub_div
@[simp]
protected theorem inv_pos : 0 < a⁻¹ ↔ a ≠ ∞ :=
pos_iff_ne_zero.trans ENNReal.inv_ne_zero
#align ennreal.inv_pos ENNReal.inv_pos
| Mathlib/Data/ENNReal/Inv.lean | 198 | 205 | theorem inv_strictAnti : StrictAnti (Inv.inv : ℝ≥0∞ → ℝ≥0∞) := by |
intro a b h
lift a to ℝ≥0 using h.ne_top
induction b; · simp
rw [coe_lt_coe] at h
rcases eq_or_ne a 0 with (rfl | ha); · simp [h]
rw [← coe_inv h.ne_bot, ← coe_inv ha, coe_lt_coe]
exact NNReal.inv_lt_inv ha h
|
import Mathlib.Topology.Constructions
import Mathlib.Topology.Algebra.Monoid
import Mathlib.Order.Filter.ListTraverse
import Mathlib.Tactic.AdaptationNote
#align_import topology.list from "leanprover-community/mathlib"@"48085f140e684306f9e7da907cd5932056d1aded"
open TopologicalSpace Set Filter
open Topology Filter
variable {α : Type*} {β : Type*} [TopologicalSpace α] [TopologicalSpace β]
instance : TopologicalSpace (List α) :=
TopologicalSpace.mkOfNhds (traverse nhds)
| Mathlib/Topology/List.lean | 28 | 66 | theorem nhds_list (as : List α) : 𝓝 as = traverse 𝓝 as := by |
refine nhds_mkOfNhds _ _ ?_ ?_
· intro l
induction l with
| nil => exact le_rfl
| cons a l ih =>
suffices List.cons <$> pure a <*> pure l ≤ List.cons <$> 𝓝 a <*> traverse 𝓝 l by
simpa only [functor_norm] using this
exact Filter.seq_mono (Filter.map_mono <| pure_le_nhds a) ih
· intro l s hs
rcases (mem_traverse_iff _ _).1 hs with ⟨u, hu, hus⟩
clear as hs
have : ∃ v : List (Set α), l.Forall₂ (fun a s => IsOpen s ∧ a ∈ s) v ∧ sequence v ⊆ s := by
induction hu generalizing s with
| nil =>
exists []
simp only [List.forall₂_nil_left_iff, exists_eq_left]
exact ⟨trivial, hus⟩
-- porting note -- renamed reordered variables based on previous types
| cons ht _ ih =>
rcases mem_nhds_iff.1 ht with ⟨u, hut, hu⟩
rcases ih _ Subset.rfl with ⟨v, hv, hvss⟩
exact
⟨u::v, List.Forall₂.cons hu hv,
Subset.trans (Set.seq_mono (Set.image_subset _ hut) hvss) hus⟩
rcases this with ⟨v, hv, hvs⟩
have : sequence v ∈ traverse 𝓝 l :=
mem_traverse _ _ <| hv.imp fun a s ⟨hs, ha⟩ => IsOpen.mem_nhds hs ha
refine mem_of_superset this fun u hu ↦ ?_
have hu := (List.mem_traverse _ _).1 hu
have : List.Forall₂ (fun a s => IsOpen s ∧ a ∈ s) u v := by
refine List.Forall₂.flip ?_
replace hv := hv.flip
#adaptation_note /-- nightly-2024-03-16: simp was
simp only [List.forall₂_and_left, flip] at hv ⊢ -/
simp only [List.forall₂_and_left, Function.flip_def] at hv ⊢
exact ⟨hv.1, hu.flip⟩
refine mem_of_superset ?_ hvs
exact mem_traverse _ _ (this.imp fun a s ⟨hs, ha⟩ => IsOpen.mem_nhds hs ha)
|
import Mathlib.Probability.Martingale.BorelCantelli
import Mathlib.Probability.ConditionalExpectation
import Mathlib.Probability.Independence.Basic
#align_import probability.borel_cantelli from "leanprover-community/mathlib"@"2f8347015b12b0864dfaf366ec4909eb70c78740"
open scoped MeasureTheory ProbabilityTheory ENNReal Topology
open MeasureTheory ProbabilityTheory MeasurableSpace TopologicalSpace
namespace ProbabilityTheory
variable {Ω : Type*} {m0 : MeasurableSpace Ω} {μ : Measure Ω} [IsProbabilityMeasure μ]
section BorelCantelli
variable {ι β : Type*} [LinearOrder ι] [mβ : MeasurableSpace β] [NormedAddCommGroup β]
[BorelSpace β] {f : ι → Ω → β} {i j : ι} {s : ι → Set Ω}
theorem iIndepFun.indep_comap_natural_of_lt (hf : ∀ i, StronglyMeasurable (f i))
(hfi : iIndepFun (fun _ => mβ) f μ) (hij : i < j) :
Indep (MeasurableSpace.comap (f j) mβ) (Filtration.natural f hf i) μ := by
suffices Indep (⨆ k ∈ ({j} : Set ι), MeasurableSpace.comap (f k) mβ)
(⨆ k ∈ {k | k ≤ i}, MeasurableSpace.comap (f k) mβ) μ by rwa [iSup_singleton] at this
exact indep_iSup_of_disjoint (fun k => (hf k).measurable.comap_le) hfi (by simpa)
set_option linter.uppercaseLean3 false in
#align probability_theory.Indep_fun.indep_comap_natural_of_lt ProbabilityTheory.iIndepFun.indep_comap_natural_of_lt
theorem iIndepFun.condexp_natural_ae_eq_of_lt [SecondCountableTopology β] [CompleteSpace β]
[NormedSpace ℝ β] (hf : ∀ i, StronglyMeasurable (f i)) (hfi : iIndepFun (fun _ => mβ) f μ)
(hij : i < j) : μ[f j|Filtration.natural f hf i] =ᵐ[μ] fun _ => μ[f j] :=
condexp_indep_eq (hf j).measurable.comap_le (Filtration.le _ _)
(comap_measurable <| f j).stronglyMeasurable (hfi.indep_comap_natural_of_lt hf hij)
set_option linter.uppercaseLean3 false in
#align probability_theory.Indep_fun.condexp_natural_ae_eq_of_lt ProbabilityTheory.iIndepFun.condexp_natural_ae_eq_of_lt
theorem iIndepSet.condexp_indicator_filtrationOfSet_ae_eq (hsm : ∀ n, MeasurableSet (s n))
(hs : iIndepSet s μ) (hij : i < j) :
μ[(s j).indicator (fun _ => 1 : Ω → ℝ)|filtrationOfSet hsm i] =ᵐ[μ]
fun _ => (μ (s j)).toReal := by
rw [Filtration.filtrationOfSet_eq_natural (β := ℝ) hsm]
refine (iIndepFun.condexp_natural_ae_eq_of_lt _ hs.iIndepFun_indicator hij).trans ?_
simp only [integral_indicator_const _ (hsm _), Algebra.id.smul_eq_mul, mul_one]; rfl
set_option linter.uppercaseLean3 false in
#align probability_theory.Indep_set.condexp_indicator_filtration_of_set_ae_eq ProbabilityTheory.iIndepSet.condexp_indicator_filtrationOfSet_ae_eq
open Filter
| Mathlib/Probability/BorelCantelli.lean | 74 | 105 | theorem measure_limsup_eq_one {s : ℕ → Set Ω} (hsm : ∀ n, MeasurableSet (s n)) (hs : iIndepSet s μ)
(hs' : (∑' n, μ (s n)) = ∞) : μ (limsup s atTop) = 1 := by |
rw [measure_congr (eventuallyEq_set.2 (ae_mem_limsup_atTop_iff μ <|
measurableSet_filtrationOfSet' hsm) : (limsup s atTop : Set Ω) =ᵐ[μ]
{ω | Tendsto (fun n => ∑ k ∈ Finset.range n,
(μ[(s (k + 1)).indicator (1 : Ω → ℝ)|filtrationOfSet hsm k]) ω) atTop atTop})]
suffices {ω | Tendsto (fun n => ∑ k ∈ Finset.range n,
(μ[(s (k + 1)).indicator (1 : Ω → ℝ)|filtrationOfSet hsm k]) ω) atTop atTop} =ᵐ[μ] Set.univ by
rw [measure_congr this, measure_univ]
have : ∀ᵐ ω ∂μ, ∀ n, (μ[(s (n + 1)).indicator (1 : Ω → ℝ)|filtrationOfSet hsm n]) ω = _ :=
ae_all_iff.2 fun n => hs.condexp_indicator_filtrationOfSet_ae_eq hsm n.lt_succ_self
filter_upwards [this] with ω hω
refine eq_true (?_ : Tendsto _ _ _)
simp_rw [hω]
have htends : Tendsto (fun n => ∑ k ∈ Finset.range n, μ (s (k + 1))) atTop (𝓝 ∞) := by
rw [← ENNReal.tsum_add_one_eq_top hs' (measure_ne_top _ _)]
exact ENNReal.tendsto_nat_tsum _
rw [ENNReal.tendsto_nhds_top_iff_nnreal] at htends
refine tendsto_atTop_atTop_of_monotone' ?_ ?_
· refine monotone_nat_of_le_succ fun n => ?_
rw [← sub_nonneg, Finset.sum_range_succ_sub_sum]
exact ENNReal.toReal_nonneg
· rintro ⟨B, hB⟩
refine not_eventually.2 (frequently_of_forall fun n => ?_) (htends B.toNNReal)
rw [mem_upperBounds] at hB
specialize hB (∑ k ∈ Finset.range n, μ (s (k + 1))).toReal _
· refine ⟨n, ?_⟩
rw [ENNReal.toReal_sum]
exact fun _ _ => measure_ne_top _ _
· rw [not_lt, ← ENNReal.toReal_le_toReal (ENNReal.sum_lt_top _).ne ENNReal.coe_ne_top]
· exact hB.trans (by simp)
· exact fun _ _ => measure_ne_top _ _
|
import Mathlib.Analysis.Analytic.Basic
variable {𝕜 E F G : Type*} [NontriviallyNormedField 𝕜] [NormedAddCommGroup E] [NormedSpace 𝕜 E]
[NormedAddCommGroup F] [NormedSpace 𝕜 F] [NormedAddCommGroup G] [NormedSpace 𝕜 G]
open scoped Classical
open Topology NNReal Filter ENNReal
open Set Filter Asymptotics
variable {f g : E → F} {p pf pg : FormalMultilinearSeries 𝕜 E F} {x : E} {r r' : ℝ≥0∞} {n m : ℕ}
section FiniteFPowerSeries
structure HasFiniteFPowerSeriesOnBall (f : E → F) (p : FormalMultilinearSeries 𝕜 E F) (x : E)
(n : ℕ) (r : ℝ≥0∞) extends HasFPowerSeriesOnBall f p x r : Prop where
finite : ∀ (m : ℕ), n ≤ m → p m = 0
theorem HasFiniteFPowerSeriesOnBall.mk' {f : E → F} {p : FormalMultilinearSeries 𝕜 E F} {x : E}
{n : ℕ} {r : ℝ≥0∞} (finite : ∀ (m : ℕ), n ≤ m → p m = 0) (pos : 0 < r)
(sum_eq : ∀ y ∈ EMetric.ball 0 r, (∑ i ∈ Finset.range n, p i fun _ ↦ y) = f (x + y)) :
HasFiniteFPowerSeriesOnBall f p x n r where
r_le := p.radius_eq_top_of_eventually_eq_zero (Filter.eventually_atTop.mpr ⟨n, finite⟩) ▸ le_top
r_pos := pos
hasSum hy := sum_eq _ hy ▸ hasSum_sum_of_ne_finset_zero fun m hm ↦ by
rw [Finset.mem_range, not_lt] at hm; rw [finite m hm]; rfl
finite := finite
def HasFiniteFPowerSeriesAt (f : E → F) (p : FormalMultilinearSeries 𝕜 E F) (x : E) (n : ℕ) :=
∃ r, HasFiniteFPowerSeriesOnBall f p x n r
theorem HasFiniteFPowerSeriesAt.toHasFPowerSeriesAt
(hf : HasFiniteFPowerSeriesAt f p x n) : HasFPowerSeriesAt f p x :=
let ⟨r, hf⟩ := hf
⟨r, hf.toHasFPowerSeriesOnBall⟩
theorem HasFiniteFPowerSeriesAt.finite (hf : HasFiniteFPowerSeriesAt f p x n) :
∀ m : ℕ, n ≤ m → p m = 0 := let ⟨_, hf⟩ := hf; hf.finite
variable (𝕜)
def CPolynomialAt (f : E → F) (x : E) :=
∃ (p : FormalMultilinearSeries 𝕜 E F) (n : ℕ), HasFiniteFPowerSeriesAt f p x n
def CPolynomialOn (f : E → F) (s : Set E) :=
∀ x, x ∈ s → CPolynomialAt 𝕜 f x
variable {𝕜}
theorem HasFiniteFPowerSeriesOnBall.hasFiniteFPowerSeriesAt
(hf : HasFiniteFPowerSeriesOnBall f p x n r) :
HasFiniteFPowerSeriesAt f p x n :=
⟨r, hf⟩
theorem HasFiniteFPowerSeriesAt.cPolynomialAt (hf : HasFiniteFPowerSeriesAt f p x n) :
CPolynomialAt 𝕜 f x :=
⟨p, n, hf⟩
theorem HasFiniteFPowerSeriesOnBall.cPolynomialAt (hf : HasFiniteFPowerSeriesOnBall f p x n r) :
CPolynomialAt 𝕜 f x :=
hf.hasFiniteFPowerSeriesAt.cPolynomialAt
theorem CPolynomialAt.analyticAt (hf : CPolynomialAt 𝕜 f x) : AnalyticAt 𝕜 f x :=
let ⟨p, _, hp⟩ := hf
⟨p, hp.toHasFPowerSeriesAt⟩
theorem CPolynomialOn.analyticOn {s : Set E} (hf : CPolynomialOn 𝕜 f s) : AnalyticOn 𝕜 f s :=
fun x hx ↦ (hf x hx).analyticAt
theorem HasFiniteFPowerSeriesOnBall.congr (hf : HasFiniteFPowerSeriesOnBall f p x n r)
(hg : EqOn f g (EMetric.ball x r)) : HasFiniteFPowerSeriesOnBall g p x n r :=
⟨hf.1.congr hg, hf.finite⟩
theorem HasFiniteFPowerSeriesOnBall.comp_sub (hf : HasFiniteFPowerSeriesOnBall f p x n r) (y : E) :
HasFiniteFPowerSeriesOnBall (fun z => f (z - y)) p (x + y) n r :=
⟨hf.1.comp_sub y, hf.finite⟩
theorem HasFiniteFPowerSeriesOnBall.mono (hf : HasFiniteFPowerSeriesOnBall f p x n r)
(r'_pos : 0 < r') (hr : r' ≤ r) : HasFiniteFPowerSeriesOnBall f p x n r' :=
⟨hf.1.mono r'_pos hr, hf.finite⟩
theorem HasFiniteFPowerSeriesAt.congr (hf : HasFiniteFPowerSeriesAt f p x n) (hg : f =ᶠ[𝓝 x] g) :
HasFiniteFPowerSeriesAt g p x n :=
Exists.imp (fun _ hg ↦ ⟨hg, hf.finite⟩) (hf.toHasFPowerSeriesAt.congr hg)
protected theorem HasFiniteFPowerSeriesAt.eventually (hf : HasFiniteFPowerSeriesAt f p x n) :
∀ᶠ r : ℝ≥0∞ in 𝓝[>] 0, HasFiniteFPowerSeriesOnBall f p x n r :=
hf.toHasFPowerSeriesAt.eventually.mono fun _ h ↦ ⟨h, hf.finite⟩
theorem hasFiniteFPowerSeriesOnBall_const {c : F} {e : E} :
HasFiniteFPowerSeriesOnBall (fun _ => c) (constFormalMultilinearSeries 𝕜 E c) e 1 ⊤ :=
⟨hasFPowerSeriesOnBall_const, fun n hn ↦ constFormalMultilinearSeries_apply (id hn : 0 < n).ne'⟩
theorem hasFiniteFPowerSeriesAt_const {c : F} {e : E} :
HasFiniteFPowerSeriesAt (fun _ => c) (constFormalMultilinearSeries 𝕜 E c) e 1 :=
⟨⊤, hasFiniteFPowerSeriesOnBall_const⟩
theorem CPolynomialAt_const {v : F} : CPolynomialAt 𝕜 (fun _ => v) x :=
⟨constFormalMultilinearSeries 𝕜 E v, 1, hasFiniteFPowerSeriesAt_const⟩
theorem CPolynomialOn_const {v : F} {s : Set E} : CPolynomialOn 𝕜 (fun _ => v) s :=
fun _ _ => CPolynomialAt_const
theorem HasFiniteFPowerSeriesOnBall.add (hf : HasFiniteFPowerSeriesOnBall f pf x n r)
(hg : HasFiniteFPowerSeriesOnBall g pg x m r) :
HasFiniteFPowerSeriesOnBall (f + g) (pf + pg) x (max n m) r :=
⟨hf.1.add hg.1, fun N hN ↦ by
rw [Pi.add_apply, hf.finite _ ((le_max_left n m).trans hN),
hg.finite _ ((le_max_right n m).trans hN), zero_add]⟩
theorem HasFiniteFPowerSeriesAt.add (hf : HasFiniteFPowerSeriesAt f pf x n)
(hg : HasFiniteFPowerSeriesAt g pg x m) :
HasFiniteFPowerSeriesAt (f + g) (pf + pg) x (max n m) := by
rcases (hf.eventually.and hg.eventually).exists with ⟨r, hr⟩
exact ⟨r, hr.1.add hr.2⟩
theorem CPolynomialAt.congr (hf : CPolynomialAt 𝕜 f x) (hg : f =ᶠ[𝓝 x] g) : CPolynomialAt 𝕜 g x :=
let ⟨_, _, hpf⟩ := hf
(hpf.congr hg).cPolynomialAt
theorem CPolynomialAt_congr (h : f =ᶠ[𝓝 x] g) : CPolynomialAt 𝕜 f x ↔ CPolynomialAt 𝕜 g x :=
⟨fun hf ↦ hf.congr h, fun hg ↦ hg.congr h.symm⟩
theorem CPolynomialAt.add (hf : CPolynomialAt 𝕜 f x) (hg : CPolynomialAt 𝕜 g x) :
CPolynomialAt 𝕜 (f + g) x :=
let ⟨_, _, hpf⟩ := hf
let ⟨_, _, hqf⟩ := hg
(hpf.add hqf).cPolynomialAt
theorem HasFiniteFPowerSeriesOnBall.neg (hf : HasFiniteFPowerSeriesOnBall f pf x n r) :
HasFiniteFPowerSeriesOnBall (-f) (-pf) x n r :=
⟨hf.1.neg, fun m hm ↦ by rw [Pi.neg_apply, hf.finite m hm, neg_zero]⟩
theorem HasFiniteFPowerSeriesAt.neg (hf : HasFiniteFPowerSeriesAt f pf x n) :
HasFiniteFPowerSeriesAt (-f) (-pf) x n :=
let ⟨_, hrf⟩ := hf
hrf.neg.hasFiniteFPowerSeriesAt
theorem CPolynomialAt.neg (hf : CPolynomialAt 𝕜 f x) : CPolynomialAt 𝕜 (-f) x :=
let ⟨_, _, hpf⟩ := hf
hpf.neg.cPolynomialAt
theorem HasFiniteFPowerSeriesOnBall.sub (hf : HasFiniteFPowerSeriesOnBall f pf x n r)
(hg : HasFiniteFPowerSeriesOnBall g pg x m r) :
HasFiniteFPowerSeriesOnBall (f - g) (pf - pg) x (max n m) r := by
simpa only [sub_eq_add_neg] using hf.add hg.neg
theorem HasFiniteFPowerSeriesAt.sub (hf : HasFiniteFPowerSeriesAt f pf x n)
(hg : HasFiniteFPowerSeriesAt g pg x m) :
HasFiniteFPowerSeriesAt (f - g) (pf - pg) x (max n m) := by
simpa only [sub_eq_add_neg] using hf.add hg.neg
theorem CPolynomialAt.sub (hf : CPolynomialAt 𝕜 f x) (hg : CPolynomialAt 𝕜 g x) :
CPolynomialAt 𝕜 (f - g) x := by
simpa only [sub_eq_add_neg] using hf.add hg.neg
theorem CPolynomialOn.mono {s t : Set E} (hf : CPolynomialOn 𝕜 f t) (hst : s ⊆ t) :
CPolynomialOn 𝕜 f s :=
fun z hz => hf z (hst hz)
theorem CPolynomialOn.congr' {s : Set E} (hf : CPolynomialOn 𝕜 f s) (hg : f =ᶠ[𝓝ˢ s] g) :
CPolynomialOn 𝕜 g s :=
fun z hz => (hf z hz).congr (mem_nhdsSet_iff_forall.mp hg z hz)
theorem CPolynomialOn_congr' {s : Set E} (h : f =ᶠ[𝓝ˢ s] g) :
CPolynomialOn 𝕜 f s ↔ CPolynomialOn 𝕜 g s :=
⟨fun hf => hf.congr' h, fun hg => hg.congr' h.symm⟩
theorem CPolynomialOn.congr {s : Set E} (hs : IsOpen s) (hf : CPolynomialOn 𝕜 f s)
(hg : s.EqOn f g) : CPolynomialOn 𝕜 g s :=
hf.congr' <| mem_nhdsSet_iff_forall.mpr
(fun _ hz => eventuallyEq_iff_exists_mem.mpr ⟨s, hs.mem_nhds hz, hg⟩)
theorem CPolynomialOn_congr {s : Set E} (hs : IsOpen s) (h : s.EqOn f g) :
CPolynomialOn 𝕜 f s ↔ CPolynomialOn 𝕜 g s :=
⟨fun hf => hf.congr hs h, fun hg => hg.congr hs h.symm⟩
theorem CPolynomialOn.add {s : Set E} (hf : CPolynomialOn 𝕜 f s) (hg : CPolynomialOn 𝕜 g s) :
CPolynomialOn 𝕜 (f + g) s :=
fun z hz => (hf z hz).add (hg z hz)
theorem CPolynomialOn.sub {s : Set E} (hf : CPolynomialOn 𝕜 f s) (hg : CPolynomialOn 𝕜 g s) :
CPolynomialOn 𝕜 (f - g) s :=
fun z hz => (hf z hz).sub (hg z hz)
theorem ContinuousLinearMap.comp_hasFiniteFPowerSeriesOnBall (g : F →L[𝕜] G)
(h : HasFiniteFPowerSeriesOnBall f p x n r) :
HasFiniteFPowerSeriesOnBall (g ∘ f) (g.compFormalMultilinearSeries p) x n r :=
⟨g.comp_hasFPowerSeriesOnBall h.1, fun m hm ↦ by
rw [compFormalMultilinearSeries_apply, h.finite m hm]
ext; exact map_zero g⟩
theorem ContinuousLinearMap.comp_cPolynomialOn {s : Set E} (g : F →L[𝕜] G)
(h : CPolynomialOn 𝕜 f s) : CPolynomialOn 𝕜 (g ∘ f) s := by
rintro x hx
rcases h x hx with ⟨p, n, r, hp⟩
exact ⟨g.compFormalMultilinearSeries p, n, r, g.comp_hasFiniteFPowerSeriesOnBall hp⟩
theorem HasFiniteFPowerSeriesOnBall.eq_partialSum
(hf : HasFiniteFPowerSeriesOnBall f p x n r) :
∀ y ∈ EMetric.ball (0 : E) r, ∀ m, n ≤ m →
f (x + y) = p.partialSum m y :=
fun y hy m hm ↦ (hf.hasSum hy).unique (hasSum_sum_of_ne_finset_zero
(f := fun m => p m (fun _ => y)) (s := Finset.range m)
(fun N hN => by simp only; simp only [Finset.mem_range, not_lt] at hN
rw [hf.finite _ (le_trans hm hN), ContinuousMultilinearMap.zero_apply]))
theorem HasFiniteFPowerSeriesOnBall.eq_partialSum'
(hf : HasFiniteFPowerSeriesOnBall f p x n r) :
∀ y ∈ EMetric.ball x r, ∀ m, n ≤ m →
f y = p.partialSum m (y - x) := by
intro y hy m hm
rw [EMetric.mem_ball, edist_eq_coe_nnnorm_sub, ← mem_emetric_ball_zero_iff] at hy
rw [← (HasFiniteFPowerSeriesOnBall.eq_partialSum hf _ hy m hm), add_sub_cancel]
| Mathlib/Analysis/Analytic/CPolynomial.lean | 278 | 282 | theorem HasFiniteFPowerSeriesOnBall.eq_zero_of_bound_zero
(hf : HasFiniteFPowerSeriesOnBall f pf x 0 r) : ∀ y ∈ EMetric.ball x r, f y = 0 := by |
intro y hy
rw [hf.eq_partialSum' y hy 0 le_rfl, FormalMultilinearSeries.partialSum]
simp only [Finset.range_zero, Finset.sum_empty]
|
import Mathlib.Analysis.Calculus.Deriv.AffineMap
import Mathlib.Analysis.Calculus.Deriv.Slope
import Mathlib.Analysis.Calculus.Deriv.Mul
import Mathlib.Analysis.Calculus.Deriv.Comp
import Mathlib.Analysis.Calculus.LocalExtr.Rolle
import Mathlib.Analysis.Convex.Normed
import Mathlib.Analysis.RCLike.Basic
#align_import analysis.calculus.mean_value from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe"
variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] {F : Type*} [NormedAddCommGroup F]
[NormedSpace ℝ F]
open Metric Set Asymptotics ContinuousLinearMap Filter
open scoped Classical Topology NNReal
theorem image_le_of_liminf_slope_right_lt_deriv_boundary' {f f' : ℝ → ℝ} {a b : ℝ}
(hf : ContinuousOn f (Icc a b))
-- `hf'` actually says `liminf (f z - f x) / (z - x) ≤ f' x`
(hf' : ∀ x ∈ Ico a b, ∀ r, f' x < r → ∃ᶠ z in 𝓝[>] x, slope f x z < r)
{B B' : ℝ → ℝ} (ha : f a ≤ B a) (hB : ContinuousOn B (Icc a b))
(hB' : ∀ x ∈ Ico a b, HasDerivWithinAt B (B' x) (Ici x) x)
(bound : ∀ x ∈ Ico a b, f x = B x → f' x < B' x) : ∀ ⦃x⦄, x ∈ Icc a b → f x ≤ B x := by
change Icc a b ⊆ { x | f x ≤ B x }
set s := { x | f x ≤ B x } ∩ Icc a b
have A : ContinuousOn (fun x => (f x, B x)) (Icc a b) := hf.prod hB
have : IsClosed s := by
simp only [s, inter_comm]
exact A.preimage_isClosed_of_isClosed isClosed_Icc OrderClosedTopology.isClosed_le'
apply this.Icc_subset_of_forall_exists_gt ha
rintro x ⟨hxB : f x ≤ B x, xab⟩ y hy
cases' hxB.lt_or_eq with hxB hxB
· -- If `f x < B x`, then all we need is continuity of both sides
refine nonempty_of_mem (inter_mem ?_ (Ioc_mem_nhdsWithin_Ioi ⟨le_rfl, hy⟩))
have : ∀ᶠ x in 𝓝[Icc a b] x, f x < B x :=
A x (Ico_subset_Icc_self xab) (IsOpen.mem_nhds (isOpen_lt continuous_fst continuous_snd) hxB)
have : ∀ᶠ x in 𝓝[>] x, f x < B x := nhdsWithin_le_of_mem (Icc_mem_nhdsWithin_Ioi xab) this
exact this.mono fun y => le_of_lt
· rcases exists_between (bound x xab hxB) with ⟨r, hfr, hrB⟩
specialize hf' x xab r hfr
have HB : ∀ᶠ z in 𝓝[>] x, r < slope B x z :=
(hasDerivWithinAt_iff_tendsto_slope' <| lt_irrefl x).1 (hB' x xab).Ioi_of_Ici
(Ioi_mem_nhds hrB)
obtain ⟨z, hfz, hzB, hz⟩ : ∃ z, slope f x z < r ∧ r < slope B x z ∧ z ∈ Ioc x y :=
(hf'.and_eventually (HB.and (Ioc_mem_nhdsWithin_Ioi ⟨le_rfl, hy⟩))).exists
refine ⟨z, ?_, hz⟩
have := (hfz.trans hzB).le
rwa [slope_def_field, slope_def_field, div_le_div_right (sub_pos.2 hz.1), hxB,
sub_le_sub_iff_right] at this
#align image_le_of_liminf_slope_right_lt_deriv_boundary' image_le_of_liminf_slope_right_lt_deriv_boundary'
theorem image_le_of_liminf_slope_right_lt_deriv_boundary {f f' : ℝ → ℝ} {a b : ℝ}
(hf : ContinuousOn f (Icc a b))
-- `hf'` actually says `liminf (f z - f x) / (z - x) ≤ f' x`
(hf' : ∀ x ∈ Ico a b, ∀ r, f' x < r → ∃ᶠ z in 𝓝[>] x, slope f x z < r)
{B B' : ℝ → ℝ} (ha : f a ≤ B a) (hB : ∀ x, HasDerivAt B (B' x) x)
(bound : ∀ x ∈ Ico a b, f x = B x → f' x < B' x) : ∀ ⦃x⦄, x ∈ Icc a b → f x ≤ B x :=
image_le_of_liminf_slope_right_lt_deriv_boundary' hf hf' ha
(fun x _ => (hB x).continuousAt.continuousWithinAt) (fun x _ => (hB x).hasDerivWithinAt) bound
#align image_le_of_liminf_slope_right_lt_deriv_boundary image_le_of_liminf_slope_right_lt_deriv_boundary
theorem image_le_of_liminf_slope_right_le_deriv_boundary {f : ℝ → ℝ} {a b : ℝ}
(hf : ContinuousOn f (Icc a b)) {B B' : ℝ → ℝ} (ha : f a ≤ B a) (hB : ContinuousOn B (Icc a b))
(hB' : ∀ x ∈ Ico a b, HasDerivWithinAt B (B' x) (Ici x) x)
-- `bound` actually says `liminf (f z - f x) / (z - x) ≤ B' x`
(bound : ∀ x ∈ Ico a b, ∀ r, B' x < r → ∃ᶠ z in 𝓝[>] x, slope f x z < r) :
∀ ⦃x⦄, x ∈ Icc a b → f x ≤ B x := by
have Hr : ∀ x ∈ Icc a b, ∀ r > 0, f x ≤ B x + r * (x - a) := fun x hx r hr => by
apply image_le_of_liminf_slope_right_lt_deriv_boundary' hf bound
· rwa [sub_self, mul_zero, add_zero]
· exact hB.add (continuousOn_const.mul (continuousOn_id.sub continuousOn_const))
· intro x hx
exact (hB' x hx).add (((hasDerivWithinAt_id x (Ici x)).sub_const a).const_mul r)
· intro x _ _
rw [mul_one]
exact (lt_add_iff_pos_right _).2 hr
exact hx
intro x hx
have : ContinuousWithinAt (fun r => B x + r * (x - a)) (Ioi 0) 0 :=
continuousWithinAt_const.add (continuousWithinAt_id.mul continuousWithinAt_const)
convert continuousWithinAt_const.closure_le _ this (Hr x hx) using 1 <;> simp
#align image_le_of_liminf_slope_right_le_deriv_boundary image_le_of_liminf_slope_right_le_deriv_boundary
theorem image_le_of_deriv_right_lt_deriv_boundary' {f f' : ℝ → ℝ} {a b : ℝ}
(hf : ContinuousOn f (Icc a b)) (hf' : ∀ x ∈ Ico a b, HasDerivWithinAt f (f' x) (Ici x) x)
{B B' : ℝ → ℝ} (ha : f a ≤ B a) (hB : ContinuousOn B (Icc a b))
(hB' : ∀ x ∈ Ico a b, HasDerivWithinAt B (B' x) (Ici x) x)
(bound : ∀ x ∈ Ico a b, f x = B x → f' x < B' x) : ∀ ⦃x⦄, x ∈ Icc a b → f x ≤ B x :=
image_le_of_liminf_slope_right_lt_deriv_boundary' hf
(fun x hx _ hr => (hf' x hx).liminf_right_slope_le hr) ha hB hB' bound
#align image_le_of_deriv_right_lt_deriv_boundary' image_le_of_deriv_right_lt_deriv_boundary'
theorem image_le_of_deriv_right_lt_deriv_boundary {f f' : ℝ → ℝ} {a b : ℝ}
(hf : ContinuousOn f (Icc a b)) (hf' : ∀ x ∈ Ico a b, HasDerivWithinAt f (f' x) (Ici x) x)
{B B' : ℝ → ℝ} (ha : f a ≤ B a) (hB : ∀ x, HasDerivAt B (B' x) x)
(bound : ∀ x ∈ Ico a b, f x = B x → f' x < B' x) : ∀ ⦃x⦄, x ∈ Icc a b → f x ≤ B x :=
image_le_of_deriv_right_lt_deriv_boundary' hf hf' ha
(fun x _ => (hB x).continuousAt.continuousWithinAt) (fun x _ => (hB x).hasDerivWithinAt) bound
#align image_le_of_deriv_right_lt_deriv_boundary image_le_of_deriv_right_lt_deriv_boundary
theorem image_le_of_deriv_right_le_deriv_boundary {f f' : ℝ → ℝ} {a b : ℝ}
(hf : ContinuousOn f (Icc a b)) (hf' : ∀ x ∈ Ico a b, HasDerivWithinAt f (f' x) (Ici x) x)
{B B' : ℝ → ℝ} (ha : f a ≤ B a) (hB : ContinuousOn B (Icc a b))
(hB' : ∀ x ∈ Ico a b, HasDerivWithinAt B (B' x) (Ici x) x)
(bound : ∀ x ∈ Ico a b, f' x ≤ B' x) : ∀ ⦃x⦄, x ∈ Icc a b → f x ≤ B x :=
image_le_of_liminf_slope_right_le_deriv_boundary hf ha hB hB' fun x hx _ hr =>
(hf' x hx).liminf_right_slope_le (lt_of_le_of_lt (bound x hx) hr)
#align image_le_of_deriv_right_le_deriv_boundary image_le_of_deriv_right_le_deriv_boundary
section
variable {f : ℝ → E} {a b : ℝ}
theorem image_norm_le_of_liminf_right_slope_norm_lt_deriv_boundary {E : Type*}
[NormedAddCommGroup E] {f : ℝ → E} {f' : ℝ → ℝ} (hf : ContinuousOn f (Icc a b))
-- `hf'` actually says `liminf (‖f z‖ - ‖f x‖) / (z - x) ≤ f' x`
(hf' : ∀ x ∈ Ico a b, ∀ r, f' x < r → ∃ᶠ z in 𝓝[>] x, slope (norm ∘ f) x z < r)
{B B' : ℝ → ℝ} (ha : ‖f a‖ ≤ B a) (hB : ContinuousOn B (Icc a b))
(hB' : ∀ x ∈ Ico a b, HasDerivWithinAt B (B' x) (Ici x) x)
(bound : ∀ x ∈ Ico a b, ‖f x‖ = B x → f' x < B' x) : ∀ ⦃x⦄, x ∈ Icc a b → ‖f x‖ ≤ B x :=
image_le_of_liminf_slope_right_lt_deriv_boundary' (continuous_norm.comp_continuousOn hf) hf' ha hB
hB' bound
#align image_norm_le_of_liminf_right_slope_norm_lt_deriv_boundary image_norm_le_of_liminf_right_slope_norm_lt_deriv_boundary
theorem image_norm_le_of_norm_deriv_right_lt_deriv_boundary' {f' : ℝ → E}
(hf : ContinuousOn f (Icc a b)) (hf' : ∀ x ∈ Ico a b, HasDerivWithinAt f (f' x) (Ici x) x)
{B B' : ℝ → ℝ} (ha : ‖f a‖ ≤ B a) (hB : ContinuousOn B (Icc a b))
(hB' : ∀ x ∈ Ico a b, HasDerivWithinAt B (B' x) (Ici x) x)
(bound : ∀ x ∈ Ico a b, ‖f x‖ = B x → ‖f' x‖ < B' x) : ∀ ⦃x⦄, x ∈ Icc a b → ‖f x‖ ≤ B x :=
image_norm_le_of_liminf_right_slope_norm_lt_deriv_boundary hf
(fun x hx _ hr => (hf' x hx).liminf_right_slope_norm_le hr) ha hB hB' bound
#align image_norm_le_of_norm_deriv_right_lt_deriv_boundary' image_norm_le_of_norm_deriv_right_lt_deriv_boundary'
theorem image_norm_le_of_norm_deriv_right_lt_deriv_boundary {f' : ℝ → E}
(hf : ContinuousOn f (Icc a b)) (hf' : ∀ x ∈ Ico a b, HasDerivWithinAt f (f' x) (Ici x) x)
{B B' : ℝ → ℝ} (ha : ‖f a‖ ≤ B a) (hB : ∀ x, HasDerivAt B (B' x) x)
(bound : ∀ x ∈ Ico a b, ‖f x‖ = B x → ‖f' x‖ < B' x) : ∀ ⦃x⦄, x ∈ Icc a b → ‖f x‖ ≤ B x :=
image_norm_le_of_norm_deriv_right_lt_deriv_boundary' hf hf' ha
(fun x _ => (hB x).continuousAt.continuousWithinAt) (fun x _ => (hB x).hasDerivWithinAt) bound
#align image_norm_le_of_norm_deriv_right_lt_deriv_boundary image_norm_le_of_norm_deriv_right_lt_deriv_boundary
theorem image_norm_le_of_norm_deriv_right_le_deriv_boundary' {f' : ℝ → E}
(hf : ContinuousOn f (Icc a b)) (hf' : ∀ x ∈ Ico a b, HasDerivWithinAt f (f' x) (Ici x) x)
{B B' : ℝ → ℝ} (ha : ‖f a‖ ≤ B a) (hB : ContinuousOn B (Icc a b))
(hB' : ∀ x ∈ Ico a b, HasDerivWithinAt B (B' x) (Ici x) x)
(bound : ∀ x ∈ Ico a b, ‖f' x‖ ≤ B' x) : ∀ ⦃x⦄, x ∈ Icc a b → ‖f x‖ ≤ B x :=
image_le_of_liminf_slope_right_le_deriv_boundary (continuous_norm.comp_continuousOn hf) ha hB hB'
fun x hx _ hr => (hf' x hx).liminf_right_slope_norm_le ((bound x hx).trans_lt hr)
#align image_norm_le_of_norm_deriv_right_le_deriv_boundary' image_norm_le_of_norm_deriv_right_le_deriv_boundary'
theorem image_norm_le_of_norm_deriv_right_le_deriv_boundary {f' : ℝ → E}
(hf : ContinuousOn f (Icc a b)) (hf' : ∀ x ∈ Ico a b, HasDerivWithinAt f (f' x) (Ici x) x)
{B B' : ℝ → ℝ} (ha : ‖f a‖ ≤ B a) (hB : ∀ x, HasDerivAt B (B' x) x)
(bound : ∀ x ∈ Ico a b, ‖f' x‖ ≤ B' x) : ∀ ⦃x⦄, x ∈ Icc a b → ‖f x‖ ≤ B x :=
image_norm_le_of_norm_deriv_right_le_deriv_boundary' hf hf' ha
(fun x _ => (hB x).continuousAt.continuousWithinAt) (fun x _ => (hB x).hasDerivWithinAt) bound
#align image_norm_le_of_norm_deriv_right_le_deriv_boundary image_norm_le_of_norm_deriv_right_le_deriv_boundary
theorem norm_image_sub_le_of_norm_deriv_right_le_segment {f' : ℝ → E} {C : ℝ}
(hf : ContinuousOn f (Icc a b)) (hf' : ∀ x ∈ Ico a b, HasDerivWithinAt f (f' x) (Ici x) x)
(bound : ∀ x ∈ Ico a b, ‖f' x‖ ≤ C) : ∀ x ∈ Icc a b, ‖f x - f a‖ ≤ C * (x - a) := by
let g x := f x - f a
have hg : ContinuousOn g (Icc a b) := hf.sub continuousOn_const
have hg' : ∀ x ∈ Ico a b, HasDerivWithinAt g (f' x) (Ici x) x := by
intro x hx
simpa using (hf' x hx).sub (hasDerivWithinAt_const _ _ _)
let B x := C * (x - a)
have hB : ∀ x, HasDerivAt B C x := by
intro x
simpa using (hasDerivAt_const x C).mul ((hasDerivAt_id x).sub (hasDerivAt_const x a))
convert image_norm_le_of_norm_deriv_right_le_deriv_boundary hg hg' _ hB bound
simp only [g, B]; rw [sub_self, norm_zero, sub_self, mul_zero]
#align norm_image_sub_le_of_norm_deriv_right_le_segment norm_image_sub_le_of_norm_deriv_right_le_segment
theorem norm_image_sub_le_of_norm_deriv_le_segment' {f' : ℝ → E} {C : ℝ}
(hf : ∀ x ∈ Icc a b, HasDerivWithinAt f (f' x) (Icc a b) x)
(bound : ∀ x ∈ Ico a b, ‖f' x‖ ≤ C) : ∀ x ∈ Icc a b, ‖f x - f a‖ ≤ C * (x - a) := by
refine
norm_image_sub_le_of_norm_deriv_right_le_segment (fun x hx => (hf x hx).continuousWithinAt)
(fun x hx => ?_) bound
exact (hf x <| Ico_subset_Icc_self hx).mono_of_mem (Icc_mem_nhdsWithin_Ici hx)
#align norm_image_sub_le_of_norm_deriv_le_segment' norm_image_sub_le_of_norm_deriv_le_segment'
theorem norm_image_sub_le_of_norm_deriv_le_segment {C : ℝ} (hf : DifferentiableOn ℝ f (Icc a b))
(bound : ∀ x ∈ Ico a b, ‖derivWithin f (Icc a b) x‖ ≤ C) :
∀ x ∈ Icc a b, ‖f x - f a‖ ≤ C * (x - a) := by
refine norm_image_sub_le_of_norm_deriv_le_segment' ?_ bound
exact fun x hx => (hf x hx).hasDerivWithinAt
#align norm_image_sub_le_of_norm_deriv_le_segment norm_image_sub_le_of_norm_deriv_le_segment
theorem norm_image_sub_le_of_norm_deriv_le_segment_01' {f' : ℝ → E} {C : ℝ}
(hf : ∀ x ∈ Icc (0 : ℝ) 1, HasDerivWithinAt f (f' x) (Icc (0 : ℝ) 1) x)
(bound : ∀ x ∈ Ico (0 : ℝ) 1, ‖f' x‖ ≤ C) : ‖f 1 - f 0‖ ≤ C := by
simpa only [sub_zero, mul_one] using
norm_image_sub_le_of_norm_deriv_le_segment' hf bound 1 (right_mem_Icc.2 zero_le_one)
#align norm_image_sub_le_of_norm_deriv_le_segment_01' norm_image_sub_le_of_norm_deriv_le_segment_01'
theorem norm_image_sub_le_of_norm_deriv_le_segment_01 {C : ℝ}
(hf : DifferentiableOn ℝ f (Icc (0 : ℝ) 1))
(bound : ∀ x ∈ Ico (0 : ℝ) 1, ‖derivWithin f (Icc (0 : ℝ) 1) x‖ ≤ C) : ‖f 1 - f 0‖ ≤ C := by
simpa only [sub_zero, mul_one] using
norm_image_sub_le_of_norm_deriv_le_segment hf bound 1 (right_mem_Icc.2 zero_le_one)
#align norm_image_sub_le_of_norm_deriv_le_segment_01 norm_image_sub_le_of_norm_deriv_le_segment_01
theorem constant_of_has_deriv_right_zero (hcont : ContinuousOn f (Icc a b))
(hderiv : ∀ x ∈ Ico a b, HasDerivWithinAt f 0 (Ici x) x) : ∀ x ∈ Icc a b, f x = f a := by
have : ∀ x ∈ Icc a b, ‖f x - f a‖ ≤ 0 * (x - a) := fun x hx =>
norm_image_sub_le_of_norm_deriv_right_le_segment hcont hderiv (fun _ _ => norm_zero.le) x hx
simpa only [zero_mul, norm_le_zero_iff, sub_eq_zero] using this
#align constant_of_has_deriv_right_zero constant_of_has_deriv_right_zero
theorem constant_of_derivWithin_zero (hdiff : DifferentiableOn ℝ f (Icc a b))
(hderiv : ∀ x ∈ Ico a b, derivWithin f (Icc a b) x = 0) : ∀ x ∈ Icc a b, f x = f a := by
have H : ∀ x ∈ Ico a b, ‖derivWithin f (Icc a b) x‖ ≤ 0 := by
simpa only [norm_le_zero_iff] using fun x hx => hderiv x hx
simpa only [zero_mul, norm_le_zero_iff, sub_eq_zero] using fun x hx =>
norm_image_sub_le_of_norm_deriv_le_segment hdiff H x hx
#align constant_of_deriv_within_zero constant_of_derivWithin_zero
variable {f' g : ℝ → E}
theorem eq_of_has_deriv_right_eq (derivf : ∀ x ∈ Ico a b, HasDerivWithinAt f (f' x) (Ici x) x)
(derivg : ∀ x ∈ Ico a b, HasDerivWithinAt g (f' x) (Ici x) x) (fcont : ContinuousOn f (Icc a b))
(gcont : ContinuousOn g (Icc a b)) (hi : f a = g a) : ∀ y ∈ Icc a b, f y = g y := by
simp only [← @sub_eq_zero _ _ (f _)] at hi ⊢
exact hi ▸ constant_of_has_deriv_right_zero (fcont.sub gcont) fun y hy => by
simpa only [sub_self] using (derivf y hy).sub (derivg y hy)
#align eq_of_has_deriv_right_eq eq_of_has_deriv_right_eq
theorem eq_of_derivWithin_eq (fdiff : DifferentiableOn ℝ f (Icc a b))
(gdiff : DifferentiableOn ℝ g (Icc a b))
(hderiv : EqOn (derivWithin f (Icc a b)) (derivWithin g (Icc a b)) (Ico a b)) (hi : f a = g a) :
∀ y ∈ Icc a b, f y = g y := by
have A : ∀ y ∈ Ico a b, HasDerivWithinAt f (derivWithin f (Icc a b) y) (Ici y) y := fun y hy =>
(fdiff y (mem_Icc_of_Ico hy)).hasDerivWithinAt.mono_of_mem (Icc_mem_nhdsWithin_Ici hy)
have B : ∀ y ∈ Ico a b, HasDerivWithinAt g (derivWithin g (Icc a b) y) (Ici y) y := fun y hy =>
(gdiff y (mem_Icc_of_Ico hy)).hasDerivWithinAt.mono_of_mem (Icc_mem_nhdsWithin_Ici hy)
exact
eq_of_has_deriv_right_eq A (fun y hy => (hderiv hy).symm ▸ B y hy) fdiff.continuousOn
gdiff.continuousOn hi
#align eq_of_deriv_within_eq eq_of_derivWithin_eq
end
section
variable {𝕜 G : Type*} [RCLike 𝕜] [NormedSpace 𝕜 E] [NormedAddCommGroup G] [NormedSpace 𝕜 G]
namespace Convex
variable {f g : E → G} {C : ℝ} {s : Set E} {x y : E} {f' g' : E → E →L[𝕜] G} {φ : E →L[𝕜] G}
theorem norm_image_sub_le_of_norm_hasFDerivWithin_le
(hf : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x) (bound : ∀ x ∈ s, ‖f' x‖ ≤ C) (hs : Convex ℝ s)
(xs : x ∈ s) (ys : y ∈ s) : ‖f y - f x‖ ≤ C * ‖y - x‖ := by
letI : NormedSpace ℝ G := RestrictScalars.normedSpace ℝ 𝕜 G
set g := (AffineMap.lineMap x y : ℝ → E)
have segm : MapsTo g (Icc 0 1 : Set ℝ) s := hs.mapsTo_lineMap xs ys
have hD : ∀ t ∈ Icc (0 : ℝ) 1,
HasDerivWithinAt (f ∘ g) (f' (g t) (y - x)) (Icc 0 1) t := fun t ht => by
simpa using ((hf (g t) (segm ht)).restrictScalars ℝ).comp_hasDerivWithinAt _
AffineMap.hasDerivWithinAt_lineMap segm
have bound : ∀ t ∈ Ico (0 : ℝ) 1, ‖f' (g t) (y - x)‖ ≤ C * ‖y - x‖ := fun t ht =>
le_of_opNorm_le _ (bound _ <| segm <| Ico_subset_Icc_self ht) _
simpa [g] using norm_image_sub_le_of_norm_deriv_le_segment_01' hD bound
#align convex.norm_image_sub_le_of_norm_has_fderiv_within_le Convex.norm_image_sub_le_of_norm_hasFDerivWithin_le
| Mathlib/Analysis/Calculus/MeanValue.lean | 477 | 482 | theorem lipschitzOnWith_of_nnnorm_hasFDerivWithin_le {C : ℝ≥0}
(hf : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x) (bound : ∀ x ∈ s, ‖f' x‖₊ ≤ C)
(hs : Convex ℝ s) : LipschitzOnWith C f s := by |
rw [lipschitzOnWith_iff_norm_sub_le]
intro x x_in y y_in
exact hs.norm_image_sub_le_of_norm_hasFDerivWithin_le hf bound y_in x_in
|
import Mathlib.Analysis.SpecialFunctions.Trigonometric.Complex
#align_import analysis.special_functions.trigonometric.arctan from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
noncomputable section
namespace Real
open Set Filter
open scoped Topology Real
theorem tan_add {x y : ℝ}
(h : ((∀ k : ℤ, x ≠ (2 * k + 1) * π / 2) ∧ ∀ l : ℤ, y ≠ (2 * l + 1) * π / 2) ∨
(∃ k : ℤ, x = (2 * k + 1) * π / 2) ∧ ∃ l : ℤ, y = (2 * l + 1) * π / 2) :
tan (x + y) = (tan x + tan y) / (1 - tan x * tan y) := by
simpa only [← Complex.ofReal_inj, Complex.ofReal_sub, Complex.ofReal_add, Complex.ofReal_div,
Complex.ofReal_mul, Complex.ofReal_tan] using
@Complex.tan_add (x : ℂ) (y : ℂ) (by convert h <;> norm_cast)
#align real.tan_add Real.tan_add
theorem tan_add' {x y : ℝ}
(h : (∀ k : ℤ, x ≠ (2 * k + 1) * π / 2) ∧ ∀ l : ℤ, y ≠ (2 * l + 1) * π / 2) :
tan (x + y) = (tan x + tan y) / (1 - tan x * tan y) :=
tan_add (Or.inl h)
#align real.tan_add' Real.tan_add'
theorem tan_two_mul {x : ℝ} : tan (2 * x) = 2 * tan x / (1 - tan x ^ 2) := by
have := @Complex.tan_two_mul x
norm_cast at *
#align real.tan_two_mul Real.tan_two_mul
theorem tan_int_mul_pi_div_two (n : ℤ) : tan (n * π / 2) = 0 :=
tan_eq_zero_iff.mpr (by use n)
#align real.tan_int_mul_pi_div_two Real.tan_int_mul_pi_div_two
theorem continuousOn_tan : ContinuousOn tan {x | cos x ≠ 0} := by
suffices ContinuousOn (fun x => sin x / cos x) {x | cos x ≠ 0} by
have h_eq : (fun x => sin x / cos x) = tan := by ext1 x; rw [tan_eq_sin_div_cos]
rwa [h_eq] at this
exact continuousOn_sin.div continuousOn_cos fun x => id
#align real.continuous_on_tan Real.continuousOn_tan
@[continuity]
theorem continuous_tan : Continuous fun x : {x | cos x ≠ 0} => tan x :=
continuousOn_iff_continuous_restrict.1 continuousOn_tan
#align real.continuous_tan Real.continuous_tan
theorem continuousOn_tan_Ioo : ContinuousOn tan (Ioo (-(π / 2)) (π / 2)) := by
refine ContinuousOn.mono continuousOn_tan fun x => ?_
simp only [and_imp, mem_Ioo, mem_setOf_eq, Ne]
rw [cos_eq_zero_iff]
rintro hx_gt hx_lt ⟨r, hxr_eq⟩
rcases le_or_lt 0 r with h | h
· rw [lt_iff_not_ge] at hx_lt
refine hx_lt ?_
rw [hxr_eq, ← one_mul (π / 2), mul_div_assoc, ge_iff_le, mul_le_mul_right (half_pos pi_pos)]
simp [h]
· rw [lt_iff_not_ge] at hx_gt
refine hx_gt ?_
rw [hxr_eq, ← one_mul (π / 2), mul_div_assoc, ge_iff_le, neg_mul_eq_neg_mul,
mul_le_mul_right (half_pos pi_pos)]
have hr_le : r ≤ -1 := by rwa [Int.lt_iff_add_one_le, ← le_neg_iff_add_nonpos_right] at h
rw [← le_sub_iff_add_le, mul_comm, ← le_div_iff]
· set_option tactic.skipAssignedInstances false in norm_num
rw [← Int.cast_one, ← Int.cast_neg]; norm_cast
· exact zero_lt_two
#align real.continuous_on_tan_Ioo Real.continuousOn_tan_Ioo
theorem surjOn_tan : SurjOn tan (Ioo (-(π / 2)) (π / 2)) univ :=
have := neg_lt_self pi_div_two_pos
continuousOn_tan_Ioo.surjOn_of_tendsto (nonempty_Ioo.2 this)
(by rw [tendsto_comp_coe_Ioo_atBot this]; exact tendsto_tan_neg_pi_div_two)
(by rw [tendsto_comp_coe_Ioo_atTop this]; exact tendsto_tan_pi_div_two)
#align real.surj_on_tan Real.surjOn_tan
theorem tan_surjective : Function.Surjective tan := fun _ => surjOn_tan.subset_range trivial
#align real.tan_surjective Real.tan_surjective
theorem image_tan_Ioo : tan '' Ioo (-(π / 2)) (π / 2) = univ :=
univ_subset_iff.1 surjOn_tan
#align real.image_tan_Ioo Real.image_tan_Ioo
def tanOrderIso : Ioo (-(π / 2)) (π / 2) ≃o ℝ :=
(strictMonoOn_tan.orderIso _ _).trans <|
(OrderIso.setCongr _ _ image_tan_Ioo).trans OrderIso.Set.univ
#align real.tan_order_iso Real.tanOrderIso
-- @[pp_nodot] -- Porting note: removed
noncomputable def arctan (x : ℝ) : ℝ :=
tanOrderIso.symm x
#align real.arctan Real.arctan
@[simp]
theorem tan_arctan (x : ℝ) : tan (arctan x) = x :=
tanOrderIso.apply_symm_apply x
#align real.tan_arctan Real.tan_arctan
theorem arctan_mem_Ioo (x : ℝ) : arctan x ∈ Ioo (-(π / 2)) (π / 2) :=
Subtype.coe_prop _
#align real.arctan_mem_Ioo Real.arctan_mem_Ioo
@[simp]
theorem range_arctan : range arctan = Ioo (-(π / 2)) (π / 2) :=
((EquivLike.surjective _).range_comp _).trans Subtype.range_coe
#align real.range_arctan Real.range_arctan
theorem arctan_tan {x : ℝ} (hx₁ : -(π / 2) < x) (hx₂ : x < π / 2) : arctan (tan x) = x :=
Subtype.ext_iff.1 <| tanOrderIso.symm_apply_apply ⟨x, hx₁, hx₂⟩
#align real.arctan_tan Real.arctan_tan
theorem cos_arctan_pos (x : ℝ) : 0 < cos (arctan x) :=
cos_pos_of_mem_Ioo <| arctan_mem_Ioo x
#align real.cos_arctan_pos Real.cos_arctan_pos
theorem cos_sq_arctan (x : ℝ) : cos (arctan x) ^ 2 = 1 / (1 + x ^ 2) := by
rw_mod_cast [one_div, ← inv_one_add_tan_sq (cos_arctan_pos x).ne', tan_arctan]
#align real.cos_sq_arctan Real.cos_sq_arctan
theorem sin_arctan (x : ℝ) : sin (arctan x) = x / √(1 + x ^ 2) := by
rw_mod_cast [← tan_div_sqrt_one_add_tan_sq (cos_arctan_pos x), tan_arctan]
#align real.sin_arctan Real.sin_arctan
theorem cos_arctan (x : ℝ) : cos (arctan x) = 1 / √(1 + x ^ 2) := by
rw_mod_cast [one_div, ← inv_sqrt_one_add_tan_sq (cos_arctan_pos x), tan_arctan]
#align real.cos_arctan Real.cos_arctan
theorem arctan_lt_pi_div_two (x : ℝ) : arctan x < π / 2 :=
(arctan_mem_Ioo x).2
#align real.arctan_lt_pi_div_two Real.arctan_lt_pi_div_two
theorem neg_pi_div_two_lt_arctan (x : ℝ) : -(π / 2) < arctan x :=
(arctan_mem_Ioo x).1
#align real.neg_pi_div_two_lt_arctan Real.neg_pi_div_two_lt_arctan
theorem arctan_eq_arcsin (x : ℝ) : arctan x = arcsin (x / √(1 + x ^ 2)) :=
Eq.symm <| arcsin_eq_of_sin_eq (sin_arctan x) (mem_Icc_of_Ioo <| arctan_mem_Ioo x)
#align real.arctan_eq_arcsin Real.arctan_eq_arcsin
theorem arcsin_eq_arctan {x : ℝ} (h : x ∈ Ioo (-(1 : ℝ)) 1) :
arcsin x = arctan (x / √(1 - x ^ 2)) := by
rw_mod_cast [arctan_eq_arcsin, div_pow, sq_sqrt, one_add_div, div_div, ← sqrt_mul,
mul_div_cancel₀, sub_add_cancel, sqrt_one, div_one] <;> simp at h <;> nlinarith [h.1, h.2]
#align real.arcsin_eq_arctan Real.arcsin_eq_arctan
@[simp]
theorem arctan_zero : arctan 0 = 0 := by simp [arctan_eq_arcsin]
#align real.arctan_zero Real.arctan_zero
@[mono]
theorem arctan_strictMono : StrictMono arctan := tanOrderIso.symm.strictMono
theorem arctan_injective : arctan.Injective := arctan_strictMono.injective
@[simp]
theorem arctan_eq_zero_iff {x : ℝ} : arctan x = 0 ↔ x = 0 :=
.trans (by rw [arctan_zero]) arctan_injective.eq_iff
theorem tendsto_arctan_atTop : Tendsto arctan atTop (𝓝[<] (π / 2)) :=
tendsto_Ioo_atTop.mp tanOrderIso.symm.tendsto_atTop
theorem tendsto_arctan_atBot : Tendsto arctan atBot (𝓝[>] (-(π / 2))) :=
tendsto_Ioo_atBot.mp tanOrderIso.symm.tendsto_atBot
theorem arctan_eq_of_tan_eq {x y : ℝ} (h : tan x = y) (hx : x ∈ Ioo (-(π / 2)) (π / 2)) :
arctan y = x :=
injOn_tan (arctan_mem_Ioo _) hx (by rw [tan_arctan, h])
#align real.arctan_eq_of_tan_eq Real.arctan_eq_of_tan_eq
@[simp]
theorem arctan_one : arctan 1 = π / 4 :=
arctan_eq_of_tan_eq tan_pi_div_four <| by constructor <;> linarith [pi_pos]
#align real.arctan_one Real.arctan_one
@[simp]
theorem arctan_neg (x : ℝ) : arctan (-x) = -arctan x := by simp [arctan_eq_arcsin, neg_div]
#align real.arctan_neg Real.arctan_neg
theorem arctan_eq_arccos {x : ℝ} (h : 0 ≤ x) : arctan x = arccos (√(1 + x ^ 2))⁻¹ := by
rw [arctan_eq_arcsin, arccos_eq_arcsin]; swap; · exact inv_nonneg.2 (sqrt_nonneg _)
congr 1
rw_mod_cast [← sqrt_inv, sq_sqrt, ← one_div, one_sub_div, add_sub_cancel_left, sqrt_div,
sqrt_sq h]
all_goals positivity
#align real.arctan_eq_arccos Real.arctan_eq_arccos
-- The junk values for `arccos` and `sqrt` make this true even for `1 < x`.
theorem arccos_eq_arctan {x : ℝ} (h : 0 < x) : arccos x = arctan (√(1 - x ^ 2) / x) := by
rw [arccos, eq_comm]
refine arctan_eq_of_tan_eq ?_ ⟨?_, ?_⟩
· rw_mod_cast [tan_pi_div_two_sub, tan_arcsin, inv_div]
· linarith only [arcsin_le_pi_div_two x, pi_pos]
· linarith only [arcsin_pos.2 h]
#align real.arccos_eq_arctan Real.arccos_eq_arctan
theorem arctan_inv_of_pos {x : ℝ} (h : 0 < x) : arctan x⁻¹ = π / 2 - arctan x := by
rw [← arctan_tan (x := _ - _), tan_pi_div_two_sub, tan_arctan]
· norm_num
exact (arctan_lt_pi_div_two x).trans (half_lt_self_iff.mpr pi_pos)
· rw [sub_lt_self_iff, ← arctan_zero]
exact tanOrderIso.symm.strictMono h
theorem arctan_inv_of_neg {x : ℝ} (h : x < 0) : arctan x⁻¹ = -(π / 2) - arctan x := by
have := arctan_inv_of_pos (neg_pos.mpr h)
rwa [inv_neg, arctan_neg, neg_eq_iff_eq_neg, neg_sub', arctan_neg, neg_neg] at this
section ArctanAdd
lemma arctan_ne_mul_pi_div_two {x : ℝ} : ∀ (k : ℤ), arctan x ≠ (2 * k + 1) * π / 2 := by
by_contra!
obtain ⟨k, h⟩ := this
obtain ⟨lb, ub⟩ := arctan_mem_Ioo x
rw [h, neg_eq_neg_one_mul, mul_div_assoc, mul_lt_mul_right (by positivity)] at lb
rw [h, ← one_mul (π / 2), mul_div_assoc, mul_lt_mul_right (by positivity)] at ub
norm_cast at lb ub; change -1 < _ at lb; omega
lemma arctan_add_arctan_lt_pi_div_two {x y : ℝ} (h : x * y < 1) : arctan x + arctan y < π / 2 := by
cases' le_or_lt y 0 with hy hy
· rw [← add_zero (π / 2), ← arctan_zero]
exact add_lt_add_of_lt_of_le (arctan_lt_pi_div_two _) (tanOrderIso.symm.monotone hy)
· rw [← lt_div_iff hy, ← inv_eq_one_div] at h
replace h : arctan x < arctan y⁻¹ := tanOrderIso.symm.strictMono h
rwa [arctan_inv_of_pos hy, lt_tsub_iff_right] at h
theorem arctan_add {x y : ℝ} (h : x * y < 1) :
arctan x + arctan y = arctan ((x + y) / (1 - x * y)) := by
rw [← arctan_tan (x := _ + _)]
· congr
conv_rhs => rw [← tan_arctan x, ← tan_arctan y]
exact tan_add' ⟨arctan_ne_mul_pi_div_two, arctan_ne_mul_pi_div_two⟩
· rw [neg_lt, neg_add, ← arctan_neg, ← arctan_neg]
rw [← neg_mul_neg] at h
exact arctan_add_arctan_lt_pi_div_two h
· exact arctan_add_arctan_lt_pi_div_two h
theorem arctan_add_eq_add_pi {x y : ℝ} (h : 1 < x * y) (hx : 0 < x) :
arctan x + arctan y = arctan ((x + y) / (1 - x * y)) + π := by
have hy : 0 < y := by
have := mul_pos_iff.mp (zero_lt_one.trans h)
simpa [hx, hx.asymm]
have k := arctan_add (mul_inv x y ▸ inv_lt_one h)
rw [arctan_inv_of_pos hx, arctan_inv_of_pos hy, show _ + _ = π - (arctan x + arctan y) by ring,
sub_eq_iff_eq_add, ← sub_eq_iff_eq_add', sub_eq_add_neg, ← arctan_neg, add_comm] at k
convert k.symm using 3
field_simp
rw [show -x + -y = -(x + y) by ring, show x * y - 1 = -(1 - x * y) by ring, neg_div_neg_eq]
theorem arctan_add_eq_sub_pi {x y : ℝ} (h : 1 < x * y) (hx : x < 0) :
arctan x + arctan y = arctan ((x + y) / (1 - x * y)) - π := by
rw [← neg_mul_neg] at h
have k := arctan_add_eq_add_pi h (neg_pos.mpr hx)
rw [show _ / _ = -((x + y) / (1 - x * y)) by ring, ← neg_inj] at k
simp only [arctan_neg, neg_add, neg_neg, ← sub_eq_add_neg _ π] at k
exact k
| Mathlib/Analysis/SpecialFunctions/Trigonometric/Arctan.lean | 278 | 280 | theorem two_mul_arctan {x : ℝ} (h₁ : -1 < x) (h₂ : x < 1) :
2 * arctan x = arctan (2 * x / (1 - x ^ 2)) := by |
rw [two_mul, arctan_add (by nlinarith)]; congr 1; ring
|
import Mathlib.Data.Set.Pairwise.Basic
import Mathlib.Order.Bounds.Basic
import Mathlib.Order.Directed
import Mathlib.Order.Hom.Set
#align_import order.antichain from "leanprover-community/mathlib"@"c227d107bbada5d0d9d20287e3282c0a7f1651a0"
open Function Set
section General
variable {α β : Type*} {r r₁ r₂ : α → α → Prop} {r' : β → β → Prop} {s t : Set α} {a b : α}
protected theorem Symmetric.compl (h : Symmetric r) : Symmetric rᶜ := fun _ _ hr hr' =>
hr <| h hr'
#align symmetric.compl Symmetric.compl
def IsAntichain (r : α → α → Prop) (s : Set α) : Prop :=
s.Pairwise rᶜ
#align is_antichain IsAntichain
namespace IsAntichain
protected theorem subset (hs : IsAntichain r s) (h : t ⊆ s) : IsAntichain r t :=
hs.mono h
#align is_antichain.subset IsAntichain.subset
theorem mono (hs : IsAntichain r₁ s) (h : r₂ ≤ r₁) : IsAntichain r₂ s :=
hs.mono' <| compl_le_compl h
#align is_antichain.mono IsAntichain.mono
theorem mono_on (hs : IsAntichain r₁ s) (h : s.Pairwise fun ⦃a b⦄ => r₂ a b → r₁ a b) :
IsAntichain r₂ s :=
hs.imp_on <| h.imp fun _ _ h h₁ h₂ => h₁ <| h h₂
#align is_antichain.mono_on IsAntichain.mono_on
protected theorem eq (hs : IsAntichain r s) {a b : α} (ha : a ∈ s) (hb : b ∈ s) (h : r a b) :
a = b :=
Set.Pairwise.eq hs ha hb <| not_not_intro h
#align is_antichain.eq IsAntichain.eq
protected theorem eq' (hs : IsAntichain r s) {a b : α} (ha : a ∈ s) (hb : b ∈ s) (h : r b a) :
a = b :=
(hs.eq hb ha h).symm
#align is_antichain.eq' IsAntichain.eq'
protected theorem isAntisymm (h : IsAntichain r univ) : IsAntisymm α r :=
⟨fun _ _ ha _ => h.eq trivial trivial ha⟩
#align is_antichain.is_antisymm IsAntichain.isAntisymm
protected theorem subsingleton [IsTrichotomous α r] (h : IsAntichain r s) : s.Subsingleton := by
rintro a ha b hb
obtain hab | hab | hab := trichotomous_of r a b
· exact h.eq ha hb hab
· exact hab
· exact h.eq' ha hb hab
#align is_antichain.subsingleton IsAntichain.subsingleton
protected theorem flip (hs : IsAntichain r s) : IsAntichain (flip r) s := fun _ ha _ hb h =>
hs hb ha h.symm
#align is_antichain.flip IsAntichain.flip
theorem swap (hs : IsAntichain r s) : IsAntichain (swap r) s :=
hs.flip
#align is_antichain.swap IsAntichain.swap
theorem image (hs : IsAntichain r s) (f : α → β) (h : ∀ ⦃a b⦄, r' (f a) (f b) → r a b) :
IsAntichain r' (f '' s) := by
rintro _ ⟨b, hb, rfl⟩ _ ⟨c, hc, rfl⟩ hbc hr
exact hs hb hc (ne_of_apply_ne _ hbc) (h hr)
#align is_antichain.image IsAntichain.image
theorem preimage (hs : IsAntichain r s) {f : β → α} (hf : Injective f)
(h : ∀ ⦃a b⦄, r' a b → r (f a) (f b)) : IsAntichain r' (f ⁻¹' s) := fun _ hb _ hc hbc hr =>
hs hb hc (hf.ne hbc) <| h hr
#align is_antichain.preimage IsAntichain.preimage
theorem _root_.isAntichain_insert :
IsAntichain r (insert a s) ↔ IsAntichain r s ∧ ∀ ⦃b⦄, b ∈ s → a ≠ b → ¬r a b ∧ ¬r b a :=
Set.pairwise_insert
#align is_antichain_insert isAntichain_insert
protected theorem insert (hs : IsAntichain r s) (hl : ∀ ⦃b⦄, b ∈ s → a ≠ b → ¬r b a)
(hr : ∀ ⦃b⦄, b ∈ s → a ≠ b → ¬r a b) : IsAntichain r (insert a s) :=
isAntichain_insert.2 ⟨hs, fun _ hb hab => ⟨hr hb hab, hl hb hab⟩⟩
#align is_antichain.insert IsAntichain.insert
theorem _root_.isAntichain_insert_of_symmetric (hr : Symmetric r) :
IsAntichain r (insert a s) ↔ IsAntichain r s ∧ ∀ ⦃b⦄, b ∈ s → a ≠ b → ¬r a b :=
pairwise_insert_of_symmetric hr.compl
#align is_antichain_insert_of_symmetric isAntichain_insert_of_symmetric
theorem insert_of_symmetric (hs : IsAntichain r s) (hr : Symmetric r)
(h : ∀ ⦃b⦄, b ∈ s → a ≠ b → ¬r a b) : IsAntichain r (insert a s) :=
(isAntichain_insert_of_symmetric hr).2 ⟨hs, h⟩
#align is_antichain.insert_of_symmetric IsAntichain.insert_of_symmetric
| Mathlib/Order/Antichain.lean | 120 | 124 | theorem image_relEmbedding (hs : IsAntichain r s) (φ : r ↪r r') : IsAntichain r' (φ '' s) := by |
intro b hb b' hb' h₁ h₂
rw [Set.mem_image] at hb hb'
obtain ⟨⟨a, has, rfl⟩, ⟨a', has', rfl⟩⟩ := hb, hb'
exact hs has has' (fun haa' => h₁ (by rw [haa'])) (φ.map_rel_iff.mp h₂)
|
import Mathlib.Data.List.Nodup
import Mathlib.Data.List.Zip
import Mathlib.Data.Nat.Defs
import Mathlib.Data.List.Infix
#align_import data.list.rotate from "leanprover-community/mathlib"@"f694c7dead66f5d4c80f446c796a5aad14707f0e"
universe u
variable {α : Type u}
open Nat Function
namespace List
theorem rotate_mod (l : List α) (n : ℕ) : l.rotate (n % l.length) = l.rotate n := by simp [rotate]
#align list.rotate_mod List.rotate_mod
@[simp]
theorem rotate_nil (n : ℕ) : ([] : List α).rotate n = [] := by simp [rotate]
#align list.rotate_nil List.rotate_nil
@[simp]
theorem rotate_zero (l : List α) : l.rotate 0 = l := by simp [rotate]
#align list.rotate_zero List.rotate_zero
-- Porting note: removing simp, simp can prove it
theorem rotate'_nil (n : ℕ) : ([] : List α).rotate' n = [] := by cases n <;> rfl
#align list.rotate'_nil List.rotate'_nil
@[simp]
theorem rotate'_zero (l : List α) : l.rotate' 0 = l := by cases l <;> rfl
#align list.rotate'_zero List.rotate'_zero
theorem rotate'_cons_succ (l : List α) (a : α) (n : ℕ) :
(a :: l : List α).rotate' n.succ = (l ++ [a]).rotate' n := by simp [rotate']
#align list.rotate'_cons_succ List.rotate'_cons_succ
@[simp]
theorem length_rotate' : ∀ (l : List α) (n : ℕ), (l.rotate' n).length = l.length
| [], _ => by simp
| a :: l, 0 => rfl
| a :: l, n + 1 => by rw [List.rotate', length_rotate' (l ++ [a]) n]; simp
#align list.length_rotate' List.length_rotate'
theorem rotate'_eq_drop_append_take :
∀ {l : List α} {n : ℕ}, n ≤ l.length → l.rotate' n = l.drop n ++ l.take n
| [], n, h => by simp [drop_append_of_le_length h]
| l, 0, h => by simp [take_append_of_le_length h]
| a :: l, n + 1, h => by
have hnl : n ≤ l.length := le_of_succ_le_succ h
have hnl' : n ≤ (l ++ [a]).length := by
rw [length_append, length_cons, List.length]; exact le_of_succ_le h
rw [rotate'_cons_succ, rotate'_eq_drop_append_take hnl', drop, take,
drop_append_of_le_length hnl, take_append_of_le_length hnl]; simp
#align list.rotate'_eq_drop_append_take List.rotate'_eq_drop_append_take
theorem rotate'_rotate' : ∀ (l : List α) (n m : ℕ), (l.rotate' n).rotate' m = l.rotate' (n + m)
| a :: l, 0, m => by simp
| [], n, m => by simp
| a :: l, n + 1, m => by
rw [rotate'_cons_succ, rotate'_rotate' _ n, Nat.add_right_comm, ← rotate'_cons_succ,
Nat.succ_eq_add_one]
#align list.rotate'_rotate' List.rotate'_rotate'
@[simp]
theorem rotate'_length (l : List α) : rotate' l l.length = l := by
rw [rotate'_eq_drop_append_take le_rfl]; simp
#align list.rotate'_length List.rotate'_length
@[simp]
theorem rotate'_length_mul (l : List α) : ∀ n : ℕ, l.rotate' (l.length * n) = l
| 0 => by simp
| n + 1 =>
calc
l.rotate' (l.length * (n + 1)) =
(l.rotate' (l.length * n)).rotate' (l.rotate' (l.length * n)).length := by
simp [-rotate'_length, Nat.mul_succ, rotate'_rotate']
_ = l := by rw [rotate'_length, rotate'_length_mul l n]
#align list.rotate'_length_mul List.rotate'_length_mul
theorem rotate'_mod (l : List α) (n : ℕ) : l.rotate' (n % l.length) = l.rotate' n :=
calc
l.rotate' (n % l.length) =
(l.rotate' (n % l.length)).rotate' ((l.rotate' (n % l.length)).length * (n / l.length)) :=
by rw [rotate'_length_mul]
_ = l.rotate' n := by rw [rotate'_rotate', length_rotate', Nat.mod_add_div]
#align list.rotate'_mod List.rotate'_mod
theorem rotate_eq_rotate' (l : List α) (n : ℕ) : l.rotate n = l.rotate' n :=
if h : l.length = 0 then by simp_all [length_eq_zero]
else by
rw [← rotate'_mod,
rotate'_eq_drop_append_take (le_of_lt (Nat.mod_lt _ (Nat.pos_of_ne_zero h)))];
simp [rotate]
#align list.rotate_eq_rotate' List.rotate_eq_rotate'
theorem rotate_cons_succ (l : List α) (a : α) (n : ℕ) :
(a :: l : List α).rotate (n + 1) = (l ++ [a]).rotate n := by
rw [rotate_eq_rotate', rotate_eq_rotate', rotate'_cons_succ]
#align list.rotate_cons_succ List.rotate_cons_succ
@[simp]
theorem mem_rotate : ∀ {l : List α} {a : α} {n : ℕ}, a ∈ l.rotate n ↔ a ∈ l
| [], _, n => by simp
| a :: l, _, 0 => by simp
| a :: l, _, n + 1 => by simp [rotate_cons_succ, mem_rotate, or_comm]
#align list.mem_rotate List.mem_rotate
@[simp]
theorem length_rotate (l : List α) (n : ℕ) : (l.rotate n).length = l.length := by
rw [rotate_eq_rotate', length_rotate']
#align list.length_rotate List.length_rotate
@[simp]
theorem rotate_replicate (a : α) (n : ℕ) (k : ℕ) : (replicate n a).rotate k = replicate n a :=
eq_replicate.2 ⟨by rw [length_rotate, length_replicate], fun b hb =>
eq_of_mem_replicate <| mem_rotate.1 hb⟩
#align list.rotate_replicate List.rotate_replicate
theorem rotate_eq_drop_append_take {l : List α} {n : ℕ} :
n ≤ l.length → l.rotate n = l.drop n ++ l.take n := by
rw [rotate_eq_rotate']; exact rotate'_eq_drop_append_take
#align list.rotate_eq_drop_append_take List.rotate_eq_drop_append_take
| Mathlib/Data/List/Rotate.lean | 147 | 151 | theorem rotate_eq_drop_append_take_mod {l : List α} {n : ℕ} :
l.rotate n = l.drop (n % l.length) ++ l.take (n % l.length) := by |
rcases l.length.zero_le.eq_or_lt with hl | hl
· simp [eq_nil_of_length_eq_zero hl.symm]
rw [← rotate_eq_drop_append_take (n.mod_lt hl).le, rotate_mod]
|
import Mathlib.Algebra.Polynomial.RingDivision
import Mathlib.RingTheory.Localization.FractionRing
#align_import data.polynomial.ring_division from "leanprover-community/mathlib"@"8efcf8022aac8e01df8d302dcebdbc25d6a886c8"
noncomputable section
namespace Polynomial
universe u v w z
variable {R : Type u} {S : Type v} {T : Type w} {a b : R} {n : ℕ}
section CommRing
variable [CommRing R] [IsDomain R] {p q : R[X]}
section Roots
open Multiset Finset
noncomputable def roots (p : R[X]) : Multiset R :=
haveI := Classical.decEq R
haveI := Classical.dec (p = 0)
if h : p = 0 then ∅ else Classical.choose (exists_multiset_roots h)
#align polynomial.roots Polynomial.roots
theorem roots_def [DecidableEq R] (p : R[X]) [Decidable (p = 0)] :
p.roots = if h : p = 0 then ∅ else Classical.choose (exists_multiset_roots h) := by
-- porting noteL `‹_›` doesn't work for instance arguments
rename_i iR ip0
obtain rfl := Subsingleton.elim iR (Classical.decEq R)
obtain rfl := Subsingleton.elim ip0 (Classical.dec (p = 0))
rfl
#align polynomial.roots_def Polynomial.roots_def
@[simp]
theorem roots_zero : (0 : R[X]).roots = 0 :=
dif_pos rfl
#align polynomial.roots_zero Polynomial.roots_zero
theorem card_roots (hp0 : p ≠ 0) : (Multiset.card (roots p) : WithBot ℕ) ≤ degree p := by
classical
unfold roots
rw [dif_neg hp0]
exact (Classical.choose_spec (exists_multiset_roots hp0)).1
#align polynomial.card_roots Polynomial.card_roots
theorem card_roots' (p : R[X]) : Multiset.card p.roots ≤ natDegree p := by
by_cases hp0 : p = 0
· simp [hp0]
exact WithBot.coe_le_coe.1 (le_trans (card_roots hp0) (le_of_eq <| degree_eq_natDegree hp0))
#align polynomial.card_roots' Polynomial.card_roots'
theorem card_roots_sub_C {p : R[X]} {a : R} (hp0 : 0 < degree p) :
(Multiset.card (p - C a).roots : WithBot ℕ) ≤ degree p :=
calc
(Multiset.card (p - C a).roots : WithBot ℕ) ≤ degree (p - C a) :=
card_roots <| mt sub_eq_zero.1 fun h => not_le_of_gt hp0 <| h.symm ▸ degree_C_le
_ = degree p := by rw [sub_eq_add_neg, ← C_neg]; exact degree_add_C hp0
set_option linter.uppercaseLean3 false in
#align polynomial.card_roots_sub_C Polynomial.card_roots_sub_C
theorem card_roots_sub_C' {p : R[X]} {a : R} (hp0 : 0 < degree p) :
Multiset.card (p - C a).roots ≤ natDegree p :=
WithBot.coe_le_coe.1
(le_trans (card_roots_sub_C hp0)
(le_of_eq <| degree_eq_natDegree fun h => by simp_all [lt_irrefl]))
set_option linter.uppercaseLean3 false in
#align polynomial.card_roots_sub_C' Polynomial.card_roots_sub_C'
@[simp]
theorem count_roots [DecidableEq R] (p : R[X]) : p.roots.count a = rootMultiplicity a p := by
classical
by_cases hp : p = 0
· simp [hp]
rw [roots_def, dif_neg hp]
exact (Classical.choose_spec (exists_multiset_roots hp)).2 a
#align polynomial.count_roots Polynomial.count_roots
@[simp]
theorem mem_roots' : a ∈ p.roots ↔ p ≠ 0 ∧ IsRoot p a := by
classical
rw [← count_pos, count_roots p, rootMultiplicity_pos']
#align polynomial.mem_roots' Polynomial.mem_roots'
theorem mem_roots (hp : p ≠ 0) : a ∈ p.roots ↔ IsRoot p a :=
mem_roots'.trans <| and_iff_right hp
#align polynomial.mem_roots Polynomial.mem_roots
theorem ne_zero_of_mem_roots (h : a ∈ p.roots) : p ≠ 0 :=
(mem_roots'.1 h).1
#align polynomial.ne_zero_of_mem_roots Polynomial.ne_zero_of_mem_roots
theorem isRoot_of_mem_roots (h : a ∈ p.roots) : IsRoot p a :=
(mem_roots'.1 h).2
#align polynomial.is_root_of_mem_roots Polynomial.isRoot_of_mem_roots
-- Porting note: added during port.
lemma mem_roots_iff_aeval_eq_zero {x : R} (w : p ≠ 0) : x ∈ roots p ↔ aeval x p = 0 := by
rw [mem_roots w, IsRoot.def, aeval_def, eval₂_eq_eval_map]
simp
theorem card_le_degree_of_subset_roots {p : R[X]} {Z : Finset R} (h : Z.val ⊆ p.roots) :
Z.card ≤ p.natDegree :=
(Multiset.card_le_card (Finset.val_le_iff_val_subset.2 h)).trans (Polynomial.card_roots' p)
#align polynomial.card_le_degree_of_subset_roots Polynomial.card_le_degree_of_subset_roots
theorem finite_setOf_isRoot {p : R[X]} (hp : p ≠ 0) : Set.Finite { x | IsRoot p x } := by
classical
simpa only [← Finset.setOf_mem, Multiset.mem_toFinset, mem_roots hp]
using p.roots.toFinset.finite_toSet
#align polynomial.finite_set_of_is_root Polynomial.finite_setOf_isRoot
theorem eq_zero_of_infinite_isRoot (p : R[X]) (h : Set.Infinite { x | IsRoot p x }) : p = 0 :=
not_imp_comm.mp finite_setOf_isRoot h
#align polynomial.eq_zero_of_infinite_is_root Polynomial.eq_zero_of_infinite_isRoot
theorem exists_max_root [LinearOrder R] (p : R[X]) (hp : p ≠ 0) : ∃ x₀, ∀ x, p.IsRoot x → x ≤ x₀ :=
Set.exists_upper_bound_image _ _ <| finite_setOf_isRoot hp
#align polynomial.exists_max_root Polynomial.exists_max_root
theorem exists_min_root [LinearOrder R] (p : R[X]) (hp : p ≠ 0) : ∃ x₀, ∀ x, p.IsRoot x → x₀ ≤ x :=
Set.exists_lower_bound_image _ _ <| finite_setOf_isRoot hp
#align polynomial.exists_min_root Polynomial.exists_min_root
theorem eq_of_infinite_eval_eq (p q : R[X]) (h : Set.Infinite { x | eval x p = eval x q }) :
p = q := by
rw [← sub_eq_zero]
apply eq_zero_of_infinite_isRoot
simpa only [IsRoot, eval_sub, sub_eq_zero]
#align polynomial.eq_of_infinite_eval_eq Polynomial.eq_of_infinite_eval_eq
theorem roots_mul {p q : R[X]} (hpq : p * q ≠ 0) : (p * q).roots = p.roots + q.roots := by
classical
exact Multiset.ext.mpr fun r => by
rw [count_add, count_roots, count_roots, count_roots, rootMultiplicity_mul hpq]
#align polynomial.roots_mul Polynomial.roots_mul
theorem roots.le_of_dvd (h : q ≠ 0) : p ∣ q → roots p ≤ roots q := by
rintro ⟨k, rfl⟩
exact Multiset.le_iff_exists_add.mpr ⟨k.roots, roots_mul h⟩
#align polynomial.roots.le_of_dvd Polynomial.roots.le_of_dvd
theorem mem_roots_sub_C' {p : R[X]} {a x : R} : x ∈ (p - C a).roots ↔ p ≠ C a ∧ p.eval x = a := by
rw [mem_roots', IsRoot.def, sub_ne_zero, eval_sub, sub_eq_zero, eval_C]
set_option linter.uppercaseLean3 false in
#align polynomial.mem_roots_sub_C' Polynomial.mem_roots_sub_C'
theorem mem_roots_sub_C {p : R[X]} {a x : R} (hp0 : 0 < degree p) :
x ∈ (p - C a).roots ↔ p.eval x = a :=
mem_roots_sub_C'.trans <| and_iff_right fun hp => hp0.not_le <| hp.symm ▸ degree_C_le
set_option linter.uppercaseLean3 false in
#align polynomial.mem_roots_sub_C Polynomial.mem_roots_sub_C
@[simp]
theorem roots_X_sub_C (r : R) : roots (X - C r) = {r} := by
classical
ext s
rw [count_roots, rootMultiplicity_X_sub_C, count_singleton]
set_option linter.uppercaseLean3 false in
#align polynomial.roots_X_sub_C Polynomial.roots_X_sub_C
@[simp]
theorem roots_X : roots (X : R[X]) = {0} := by rw [← roots_X_sub_C, C_0, sub_zero]
set_option linter.uppercaseLean3 false in
#align polynomial.roots_X Polynomial.roots_X
@[simp]
theorem roots_C (x : R) : (C x).roots = 0 := by
classical exact
if H : x = 0 then by rw [H, C_0, roots_zero]
else
Multiset.ext.mpr fun r => (by
rw [count_roots, count_zero, rootMultiplicity_eq_zero (not_isRoot_C _ _ H)])
set_option linter.uppercaseLean3 false in
#align polynomial.roots_C Polynomial.roots_C
@[simp]
theorem roots_one : (1 : R[X]).roots = ∅ :=
roots_C 1
#align polynomial.roots_one Polynomial.roots_one
@[simp]
theorem roots_C_mul (p : R[X]) (ha : a ≠ 0) : (C a * p).roots = p.roots := by
by_cases hp : p = 0 <;>
simp only [roots_mul, *, Ne, mul_eq_zero, C_eq_zero, or_self_iff, not_false_iff, roots_C,
zero_add, mul_zero]
set_option linter.uppercaseLean3 false in
#align polynomial.roots_C_mul Polynomial.roots_C_mul
@[simp]
theorem roots_smul_nonzero (p : R[X]) (ha : a ≠ 0) : (a • p).roots = p.roots := by
rw [smul_eq_C_mul, roots_C_mul _ ha]
#align polynomial.roots_smul_nonzero Polynomial.roots_smul_nonzero
@[simp]
lemma roots_neg (p : R[X]) : (-p).roots = p.roots := by
rw [← neg_one_smul R p, roots_smul_nonzero p (neg_ne_zero.mpr one_ne_zero)]
theorem roots_list_prod (L : List R[X]) :
(0 : R[X]) ∉ L → L.prod.roots = (L : Multiset R[X]).bind roots :=
List.recOn L (fun _ => roots_one) fun hd tl ih H => by
rw [List.mem_cons, not_or] at H
rw [List.prod_cons, roots_mul (mul_ne_zero (Ne.symm H.1) <| List.prod_ne_zero H.2), ←
Multiset.cons_coe, Multiset.cons_bind, ih H.2]
#align polynomial.roots_list_prod Polynomial.roots_list_prod
theorem roots_multiset_prod (m : Multiset R[X]) : (0 : R[X]) ∉ m → m.prod.roots = m.bind roots := by
rcases m with ⟨L⟩
simpa only [Multiset.prod_coe, quot_mk_to_coe''] using roots_list_prod L
#align polynomial.roots_multiset_prod Polynomial.roots_multiset_prod
theorem roots_prod {ι : Type*} (f : ι → R[X]) (s : Finset ι) :
s.prod f ≠ 0 → (s.prod f).roots = s.val.bind fun i => roots (f i) := by
rcases s with ⟨m, hm⟩
simpa [Multiset.prod_eq_zero_iff, Multiset.bind_map] using roots_multiset_prod (m.map f)
#align polynomial.roots_prod Polynomial.roots_prod
@[simp]
theorem roots_pow (p : R[X]) (n : ℕ) : (p ^ n).roots = n • p.roots := by
induction' n with n ihn
· rw [pow_zero, roots_one, zero_smul, empty_eq_zero]
· rcases eq_or_ne p 0 with (rfl | hp)
· rw [zero_pow n.succ_ne_zero, roots_zero, smul_zero]
· rw [pow_succ, roots_mul (mul_ne_zero (pow_ne_zero _ hp) hp), ihn, add_smul, one_smul]
#align polynomial.roots_pow Polynomial.roots_pow
theorem roots_X_pow (n : ℕ) : (X ^ n : R[X]).roots = n • ({0} : Multiset R) := by
rw [roots_pow, roots_X]
set_option linter.uppercaseLean3 false in
#align polynomial.roots_X_pow Polynomial.roots_X_pow
theorem roots_C_mul_X_pow (ha : a ≠ 0) (n : ℕ) :
Polynomial.roots (C a * X ^ n) = n • ({0} : Multiset R) := by
rw [roots_C_mul _ ha, roots_X_pow]
set_option linter.uppercaseLean3 false in
#align polynomial.roots_C_mul_X_pow Polynomial.roots_C_mul_X_pow
@[simp]
theorem roots_monomial (ha : a ≠ 0) (n : ℕ) : (monomial n a).roots = n • ({0} : Multiset R) := by
rw [← C_mul_X_pow_eq_monomial, roots_C_mul_X_pow ha]
#align polynomial.roots_monomial Polynomial.roots_monomial
theorem roots_prod_X_sub_C (s : Finset R) : (s.prod fun a => X - C a).roots = s.val := by
apply (roots_prod (fun a => X - C a) s ?_).trans
· simp_rw [roots_X_sub_C]
rw [Multiset.bind_singleton, Multiset.map_id']
· refine prod_ne_zero_iff.mpr (fun a _ => X_sub_C_ne_zero a)
set_option linter.uppercaseLean3 false in
#align polynomial.roots_prod_X_sub_C Polynomial.roots_prod_X_sub_C
@[simp]
theorem roots_multiset_prod_X_sub_C (s : Multiset R) : (s.map fun a => X - C a).prod.roots = s := by
rw [roots_multiset_prod, Multiset.bind_map]
· simp_rw [roots_X_sub_C]
rw [Multiset.bind_singleton, Multiset.map_id']
· rw [Multiset.mem_map]
rintro ⟨a, -, h⟩
exact X_sub_C_ne_zero a h
set_option linter.uppercaseLean3 false in
#align polynomial.roots_multiset_prod_X_sub_C Polynomial.roots_multiset_prod_X_sub_C
theorem card_roots_X_pow_sub_C {n : ℕ} (hn : 0 < n) (a : R) :
Multiset.card (roots ((X : R[X]) ^ n - C a)) ≤ n :=
WithBot.coe_le_coe.1 <|
calc
(Multiset.card (roots ((X : R[X]) ^ n - C a)) : WithBot ℕ) ≤ degree ((X : R[X]) ^ n - C a) :=
card_roots (X_pow_sub_C_ne_zero hn a)
_ = n := degree_X_pow_sub_C hn a
set_option linter.uppercaseLean3 false in
#align polynomial.card_roots_X_pow_sub_C Polynomial.card_roots_X_pow_sub_C
theorem zero_of_eval_zero [Infinite R] (p : R[X]) (h : ∀ x, p.eval x = 0) : p = 0 := by
classical
by_contra hp
refine @Fintype.false R _ ?_
exact ⟨p.roots.toFinset, fun x => Multiset.mem_toFinset.mpr ((mem_roots hp).mpr (h _))⟩
#align polynomial.zero_of_eval_zero Polynomial.zero_of_eval_zero
theorem funext [Infinite R] {p q : R[X]} (ext : ∀ r : R, p.eval r = q.eval r) : p = q := by
rw [← sub_eq_zero]
apply zero_of_eval_zero
intro x
rw [eval_sub, sub_eq_zero, ext]
#align polynomial.funext Polynomial.funext
variable [CommRing T]
noncomputable abbrev aroots (p : T[X]) (S) [CommRing S] [IsDomain S] [Algebra T S] : Multiset S :=
(p.map (algebraMap T S)).roots
theorem aroots_def (p : T[X]) (S) [CommRing S] [IsDomain S] [Algebra T S] :
p.aroots S = (p.map (algebraMap T S)).roots :=
rfl
theorem mem_aroots' [CommRing S] [IsDomain S] [Algebra T S] {p : T[X]} {a : S} :
a ∈ p.aroots S ↔ p.map (algebraMap T S) ≠ 0 ∧ aeval a p = 0 := by
rw [mem_roots', IsRoot.def, ← eval₂_eq_eval_map, aeval_def]
theorem mem_aroots [CommRing S] [IsDomain S] [Algebra T S]
[NoZeroSMulDivisors T S] {p : T[X]} {a : S} : a ∈ p.aroots S ↔ p ≠ 0 ∧ aeval a p = 0 := by
rw [mem_aroots', Polynomial.map_ne_zero_iff]
exact NoZeroSMulDivisors.algebraMap_injective T S
theorem aroots_mul [CommRing S] [IsDomain S] [Algebra T S]
[NoZeroSMulDivisors T S] {p q : T[X]} (hpq : p * q ≠ 0) :
(p * q).aroots S = p.aroots S + q.aroots S := by
suffices map (algebraMap T S) p * map (algebraMap T S) q ≠ 0 by
rw [aroots_def, Polynomial.map_mul, roots_mul this]
rwa [← Polynomial.map_mul, Polynomial.map_ne_zero_iff
(NoZeroSMulDivisors.algebraMap_injective T S)]
@[simp]
| Mathlib/Algebra/Polynomial/Roots.lean | 438 | 440 | theorem aroots_X_sub_C [CommRing S] [IsDomain S] [Algebra T S]
(r : T) : aroots (X - C r) S = {algebraMap T S r} := by |
rw [aroots_def, Polynomial.map_sub, map_X, map_C, roots_X_sub_C]
|
import Mathlib.RingTheory.AdjoinRoot
import Mathlib.FieldTheory.Minpoly.Field
import Mathlib.RingTheory.Polynomial.GaussLemma
#align_import field_theory.minpoly.is_integrally_closed from "leanprover-community/mathlib"@"f0c8bf9245297a541f468be517f1bde6195105e9"
open scoped Classical Polynomial
open Polynomial Set Function minpoly
namespace minpoly
variable {R S : Type*} [CommRing R] [CommRing S] [IsDomain R] [Algebra R S]
section
variable (K L : Type*) [Field K] [Algebra R K] [IsFractionRing R K] [CommRing L] [Nontrivial L]
[Algebra R L] [Algebra S L] [Algebra K L] [IsScalarTower R K L] [IsScalarTower R S L]
variable [IsIntegrallyClosed R]
theorem isIntegrallyClosed_eq_field_fractions [IsDomain S] {s : S} (hs : IsIntegral R s) :
minpoly K (algebraMap S L s) = (minpoly R s).map (algebraMap R K) := by
refine (eq_of_irreducible_of_monic ?_ ?_ ?_).symm
· exact ((monic hs).irreducible_iff_irreducible_map_fraction_map).1 (irreducible hs)
· rw [aeval_map_algebraMap, aeval_algebraMap_apply, aeval, map_zero]
· exact (monic hs).map _
#align minpoly.is_integrally_closed_eq_field_fractions minpoly.isIntegrallyClosed_eq_field_fractions
| Mathlib/FieldTheory/Minpoly/IsIntegrallyClosed.lean | 61 | 64 | theorem isIntegrallyClosed_eq_field_fractions' [IsDomain S] [Algebra K S] [IsScalarTower R K S]
{s : S} (hs : IsIntegral R s) : minpoly K s = (minpoly R s).map (algebraMap R K) := by |
let L := FractionRing S
rw [← isIntegrallyClosed_eq_field_fractions K L hs, algebraMap_eq (IsFractionRing.injective S L)]
|
import Mathlib.Tactic.TFAE
import Mathlib.Topology.ContinuousOn
#align_import topology.inseparable from "leanprover-community/mathlib"@"bcfa726826abd57587355b4b5b7e78ad6527b7e4"
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}
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
· exact (pure_le_nhds _).trans
tfae_have 2 → 3
· exact fun h s hso hy => h (hso.mem_nhds hy)
tfae_have 3 → 4
· exact fun h s hsc hx => of_not_not fun hy => h sᶜ hsc.isOpen_compl hy hx
tfae_have 4 → 5
· exact fun h => h _ isClosed_closure (subset_closure <| mem_singleton _)
tfae_have 6 ↔ 5
· exact isClosed_closure.closure_subset_iff.trans singleton_subset_iff
tfae_have 5 ↔ 7
· rw [mem_closure_iff_clusterPt, principal_singleton]
tfae_have 5 → 1
· 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
#align specializes_tfae specializes_TFAE
theorem specializes_iff_nhds : x ⤳ y ↔ 𝓝 x ≤ 𝓝 y :=
Iff.rfl
#align specializes_iff_nhds specializes_iff_nhds
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
#align specializes_iff_pure specializes_iff_pure
alias ⟨Specializes.nhds_le_nhds, _⟩ := specializes_iff_nhds
#align specializes.nhds_le_nhds Specializes.nhds_le_nhds
alias ⟨Specializes.pure_le_nhds, _⟩ := specializes_iff_pure
#align specializes.pure_le_nhds Specializes.pure_le_nhds
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
#align specializes_iff_forall_open specializes_iff_forall_open
theorem Specializes.mem_open (h : x ⤳ y) (hs : IsOpen s) (hy : y ∈ s) : x ∈ s :=
specializes_iff_forall_open.1 h s hs hy
#align specializes.mem_open Specializes.mem_open
theorem IsOpen.not_specializes (hs : IsOpen s) (hx : x ∉ s) (hy : y ∈ s) : ¬x ⤳ y := fun h =>
hx <| h.mem_open hs hy
#align is_open.not_specializes IsOpen.not_specializes
theorem specializes_iff_forall_closed : x ⤳ y ↔ ∀ s : Set X, IsClosed s → x ∈ s → y ∈ s :=
(specializes_TFAE x y).out 0 3
#align specializes_iff_forall_closed specializes_iff_forall_closed
theorem Specializes.mem_closed (h : x ⤳ y) (hs : IsClosed s) (hx : x ∈ s) : y ∈ s :=
specializes_iff_forall_closed.1 h s hs hx
#align specializes.mem_closed Specializes.mem_closed
theorem IsClosed.not_specializes (hs : IsClosed s) (hx : x ∈ s) (hy : y ∉ s) : ¬x ⤳ y := fun h =>
hy <| h.mem_closed hs hx
#align is_closed.not_specializes IsClosed.not_specializes
theorem specializes_iff_mem_closure : x ⤳ y ↔ y ∈ closure ({x} : Set X) :=
(specializes_TFAE x y).out 0 4
#align specializes_iff_mem_closure specializes_iff_mem_closure
alias ⟨Specializes.mem_closure, _⟩ := specializes_iff_mem_closure
#align specializes.mem_closure Specializes.mem_closure
theorem specializes_iff_closure_subset : x ⤳ y ↔ closure ({y} : Set X) ⊆ closure {x} :=
(specializes_TFAE x y).out 0 5
#align specializes_iff_closure_subset specializes_iff_closure_subset
alias ⟨Specializes.closure_subset, _⟩ := specializes_iff_closure_subset
#align specializes.closure_subset Specializes.closure_subset
-- Porting note (#10756): new lemma
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
#align filter.has_basis.specializes_iff Filter.HasBasis.specializes_iff
theorem specializes_rfl : x ⤳ x := le_rfl
#align specializes_rfl specializes_rfl
@[refl]
theorem specializes_refl (x : X) : x ⤳ x :=
specializes_rfl
#align specializes_refl specializes_refl
@[trans]
theorem Specializes.trans : x ⤳ y → y ⤳ z → x ⤳ z :=
le_trans
#align specializes.trans Specializes.trans
theorem specializes_of_eq (e : x = y) : x ⤳ y :=
e ▸ specializes_refl x
#align 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
#align specializes_of_nhds_within specializes_of_nhdsWithin
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
#align specializes.map_of_continuous_at Specializes.map_of_continuousAt
theorem Specializes.map (h : x ⤳ y) (hf : Continuous f) : f x ⤳ f y :=
h.map_of_continuousAt hf.continuousAt
#align specializes.map Specializes.map
theorem Inducing.specializes_iff (hf : Inducing f) : f x ⤳ f y ↔ x ⤳ y := by
simp only [specializes_iff_mem_closure, hf.closure_eq_preimage_closure_image, image_singleton,
mem_preimage]
#align inducing.specializes_iff Inducing.specializes_iff
theorem subtype_specializes_iff {p : X → Prop} (x y : Subtype p) : x ⤳ y ↔ (x : X) ⤳ y :=
inducing_subtype_val.specializes_iff.symm
#align subtype_specializes_iff subtype_specializes_iff
@[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]
#align specializes_prod specializes_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⟩
#align specializes.prod Specializes.prod
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]
#align specializes_pi specializes_pi
| Mathlib/Topology/Inseparable.lean | 206 | 209 | 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
|
import Mathlib.Analysis.SpecialFunctions.Complex.Circle
import Mathlib.Geometry.Euclidean.Angle.Oriented.Basic
#align_import geometry.euclidean.angle.oriented.rotation from "leanprover-community/mathlib"@"f0c8bf9245297a541f468be517f1bde6195105e9"
noncomputable section
open FiniteDimensional Complex
open scoped Real RealInnerProductSpace ComplexConjugate
namespace Orientation
attribute [local instance] Complex.finrank_real_complex_fact
variable {V V' : Type*}
variable [NormedAddCommGroup V] [NormedAddCommGroup V']
variable [InnerProductSpace ℝ V] [InnerProductSpace ℝ V']
variable [Fact (finrank ℝ V = 2)] [Fact (finrank ℝ V' = 2)] (o : Orientation ℝ V (Fin 2))
local notation "J" => o.rightAngleRotation
def rotationAux (θ : Real.Angle) : V →ₗᵢ[ℝ] V :=
LinearMap.isometryOfInner
(Real.Angle.cos θ • LinearMap.id +
Real.Angle.sin θ • (LinearIsometryEquiv.toLinearEquiv J).toLinearMap)
(by
intro x y
simp only [RCLike.conj_to_real, id, LinearMap.smul_apply, LinearMap.add_apply,
LinearMap.id_coe, LinearEquiv.coe_coe, LinearIsometryEquiv.coe_toLinearEquiv,
Orientation.areaForm_rightAngleRotation_left, Orientation.inner_rightAngleRotation_left,
Orientation.inner_rightAngleRotation_right, inner_add_left, inner_smul_left,
inner_add_right, inner_smul_right]
linear_combination inner (𝕜 := ℝ) x y * θ.cos_sq_add_sin_sq)
#align orientation.rotation_aux Orientation.rotationAux
@[simp]
theorem rotationAux_apply (θ : Real.Angle) (x : V) :
o.rotationAux θ x = Real.Angle.cos θ • x + Real.Angle.sin θ • J x :=
rfl
#align orientation.rotation_aux_apply Orientation.rotationAux_apply
def rotation (θ : Real.Angle) : V ≃ₗᵢ[ℝ] V :=
LinearIsometryEquiv.ofLinearIsometry (o.rotationAux θ)
(Real.Angle.cos θ • LinearMap.id -
Real.Angle.sin θ • (LinearIsometryEquiv.toLinearEquiv J).toLinearMap)
(by
ext x
convert congr_arg (fun t : ℝ => t • x) θ.cos_sq_add_sin_sq using 1
· simp only [o.rightAngleRotation_rightAngleRotation, o.rotationAux_apply,
Function.comp_apply, id, LinearEquiv.coe_coe, LinearIsometry.coe_toLinearMap,
LinearIsometryEquiv.coe_toLinearEquiv, map_smul, map_sub, LinearMap.coe_comp,
LinearMap.id_coe, LinearMap.smul_apply, LinearMap.sub_apply, ← mul_smul, add_smul,
smul_add, smul_neg, smul_sub, mul_comm, sq]
abel
· simp)
(by
ext x
convert congr_arg (fun t : ℝ => t • x) θ.cos_sq_add_sin_sq using 1
· simp only [o.rightAngleRotation_rightAngleRotation, o.rotationAux_apply,
Function.comp_apply, id, LinearEquiv.coe_coe, LinearIsometry.coe_toLinearMap,
LinearIsometryEquiv.coe_toLinearEquiv, map_add, map_smul, LinearMap.coe_comp,
LinearMap.id_coe, LinearMap.smul_apply, LinearMap.sub_apply,
add_smul, smul_neg, smul_sub, smul_smul]
ring_nf
abel
· simp)
#align orientation.rotation Orientation.rotation
theorem rotation_apply (θ : Real.Angle) (x : V) :
o.rotation θ x = Real.Angle.cos θ • x + Real.Angle.sin θ • J x :=
rfl
#align orientation.rotation_apply Orientation.rotation_apply
theorem rotation_symm_apply (θ : Real.Angle) (x : V) :
(o.rotation θ).symm x = Real.Angle.cos θ • x - Real.Angle.sin θ • J x :=
rfl
#align orientation.rotation_symm_apply Orientation.rotation_symm_apply
theorem rotation_eq_matrix_toLin (θ : Real.Angle) {x : V} (hx : x ≠ 0) :
(o.rotation θ).toLinearMap =
Matrix.toLin (o.basisRightAngleRotation x hx) (o.basisRightAngleRotation x hx)
!![θ.cos, -θ.sin; θ.sin, θ.cos] := by
apply (o.basisRightAngleRotation x hx).ext
intro i
fin_cases i
· rw [Matrix.toLin_self]
simp [rotation_apply, Fin.sum_univ_succ]
· rw [Matrix.toLin_self]
simp [rotation_apply, Fin.sum_univ_succ, add_comm]
#align orientation.rotation_eq_matrix_to_lin Orientation.rotation_eq_matrix_toLin
@[simp]
theorem det_rotation (θ : Real.Angle) : LinearMap.det (o.rotation θ).toLinearMap = 1 := by
haveI : Nontrivial V :=
FiniteDimensional.nontrivial_of_finrank_eq_succ (@Fact.out (finrank ℝ V = 2) _)
obtain ⟨x, hx⟩ : ∃ x, x ≠ (0 : V) := exists_ne (0 : V)
rw [o.rotation_eq_matrix_toLin θ hx]
simpa [sq] using θ.cos_sq_add_sin_sq
#align orientation.det_rotation Orientation.det_rotation
@[simp]
theorem linearEquiv_det_rotation (θ : Real.Angle) :
LinearEquiv.det (o.rotation θ).toLinearEquiv = 1 :=
Units.ext <| by
-- Porting note: Lean can't see through `LinearEquiv.coe_det` and needed the rewrite
-- in mathlib3 this was just `units.ext <| o.det_rotation θ`
simpa only [LinearEquiv.coe_det, Units.val_one] using o.det_rotation θ
#align orientation.linear_equiv_det_rotation Orientation.linearEquiv_det_rotation
@[simp]
theorem rotation_symm (θ : Real.Angle) : (o.rotation θ).symm = o.rotation (-θ) := by
ext; simp [o.rotation_apply, o.rotation_symm_apply, sub_eq_add_neg]
#align orientation.rotation_symm Orientation.rotation_symm
@[simp]
theorem rotation_zero : o.rotation 0 = LinearIsometryEquiv.refl ℝ V := by ext; simp [rotation]
#align orientation.rotation_zero Orientation.rotation_zero
@[simp]
theorem rotation_pi : o.rotation π = LinearIsometryEquiv.neg ℝ := by
ext x
simp [rotation]
#align orientation.rotation_pi Orientation.rotation_pi
theorem rotation_pi_apply (x : V) : o.rotation π x = -x := by simp
#align orientation.rotation_pi_apply Orientation.rotation_pi_apply
theorem rotation_pi_div_two : o.rotation (π / 2 : ℝ) = J := by
ext x
simp [rotation]
#align orientation.rotation_pi_div_two Orientation.rotation_pi_div_two
@[simp]
theorem rotation_rotation (θ₁ θ₂ : Real.Angle) (x : V) :
o.rotation θ₁ (o.rotation θ₂ x) = o.rotation (θ₁ + θ₂) x := by
simp only [o.rotation_apply, ← mul_smul, Real.Angle.cos_add, Real.Angle.sin_add, add_smul,
sub_smul, LinearIsometryEquiv.trans_apply, smul_add, LinearIsometryEquiv.map_add,
LinearIsometryEquiv.map_smul, rightAngleRotation_rightAngleRotation, smul_neg]
ring_nf
abel
#align orientation.rotation_rotation Orientation.rotation_rotation
@[simp]
theorem rotation_trans (θ₁ θ₂ : Real.Angle) :
(o.rotation θ₁).trans (o.rotation θ₂) = o.rotation (θ₂ + θ₁) :=
LinearIsometryEquiv.ext fun _ => by rw [← rotation_rotation, LinearIsometryEquiv.trans_apply]
#align orientation.rotation_trans Orientation.rotation_trans
@[simp]
theorem kahler_rotation_left (x y : V) (θ : Real.Angle) :
o.kahler (o.rotation θ x) y = conj (θ.expMapCircle : ℂ) * o.kahler x y := by
-- Porting note: this needed the `Complex.conj_ofReal` instead of `RCLike.conj_ofReal`;
-- I believe this is because the respective coercions are no longer defeq, and
-- `Real.Angle.coe_expMapCircle` uses the `Complex` version.
simp only [o.rotation_apply, map_add, map_mul, LinearMap.map_smulₛₗ, RingHom.id_apply,
LinearMap.add_apply, LinearMap.smul_apply, real_smul, kahler_rightAngleRotation_left,
Real.Angle.coe_expMapCircle, Complex.conj_ofReal, conj_I]
ring
#align orientation.kahler_rotation_left Orientation.kahler_rotation_left
theorem neg_rotation (θ : Real.Angle) (x : V) : -o.rotation θ x = o.rotation (π + θ) x := by
rw [← o.rotation_pi_apply, rotation_rotation]
#align orientation.neg_rotation Orientation.neg_rotation
@[simp]
theorem neg_rotation_neg_pi_div_two (x : V) :
-o.rotation (-π / 2 : ℝ) x = o.rotation (π / 2 : ℝ) x := by
rw [neg_rotation, ← Real.Angle.coe_add, neg_div, ← sub_eq_add_neg, sub_half]
#align orientation.neg_rotation_neg_pi_div_two Orientation.neg_rotation_neg_pi_div_two
theorem neg_rotation_pi_div_two (x : V) : -o.rotation (π / 2 : ℝ) x = o.rotation (-π / 2 : ℝ) x :=
(neg_eq_iff_eq_neg.mp <| o.neg_rotation_neg_pi_div_two _).symm
#align orientation.neg_rotation_pi_div_two Orientation.neg_rotation_pi_div_two
theorem kahler_rotation_left' (x y : V) (θ : Real.Angle) :
o.kahler (o.rotation θ x) y = (-θ).expMapCircle * o.kahler x y := by
simp only [Real.Angle.expMapCircle_neg, coe_inv_circle_eq_conj, kahler_rotation_left]
#align orientation.kahler_rotation_left' Orientation.kahler_rotation_left'
@[simp]
theorem kahler_rotation_right (x y : V) (θ : Real.Angle) :
o.kahler x (o.rotation θ y) = θ.expMapCircle * o.kahler x y := by
simp only [o.rotation_apply, map_add, LinearMap.map_smulₛₗ, RingHom.id_apply, real_smul,
kahler_rightAngleRotation_right, Real.Angle.coe_expMapCircle]
ring
#align orientation.kahler_rotation_right Orientation.kahler_rotation_right
@[simp]
theorem oangle_rotation_left {x y : V} (hx : x ≠ 0) (hy : y ≠ 0) (θ : Real.Angle) :
o.oangle (o.rotation θ x) y = o.oangle x y - θ := by
simp only [oangle, o.kahler_rotation_left']
rw [Complex.arg_mul_coe_angle, Real.Angle.arg_expMapCircle]
· abel
· exact ne_zero_of_mem_circle _
· exact o.kahler_ne_zero hx hy
#align orientation.oangle_rotation_left Orientation.oangle_rotation_left
@[simp]
theorem oangle_rotation_right {x y : V} (hx : x ≠ 0) (hy : y ≠ 0) (θ : Real.Angle) :
o.oangle x (o.rotation θ y) = o.oangle x y + θ := by
simp only [oangle, o.kahler_rotation_right]
rw [Complex.arg_mul_coe_angle, Real.Angle.arg_expMapCircle]
· abel
· exact ne_zero_of_mem_circle _
· exact o.kahler_ne_zero hx hy
#align orientation.oangle_rotation_right Orientation.oangle_rotation_right
@[simp]
theorem oangle_rotation_self_left {x : V} (hx : x ≠ 0) (θ : Real.Angle) :
o.oangle (o.rotation θ x) x = -θ := by simp [hx]
#align orientation.oangle_rotation_self_left Orientation.oangle_rotation_self_left
@[simp]
theorem oangle_rotation_self_right {x : V} (hx : x ≠ 0) (θ : Real.Angle) :
o.oangle x (o.rotation θ x) = θ := by simp [hx]
#align orientation.oangle_rotation_self_right Orientation.oangle_rotation_self_right
@[simp]
theorem oangle_rotation_oangle_left (x y : V) : o.oangle (o.rotation (o.oangle x y) x) y = 0 := by
by_cases hx : x = 0
· simp [hx]
· by_cases hy : y = 0
· simp [hy]
· simp [hx, hy]
#align orientation.oangle_rotation_oangle_left Orientation.oangle_rotation_oangle_left
@[simp]
theorem oangle_rotation_oangle_right (x y : V) : o.oangle y (o.rotation (o.oangle x y) x) = 0 := by
rw [oangle_rev]
simp
#align orientation.oangle_rotation_oangle_right Orientation.oangle_rotation_oangle_right
@[simp]
theorem oangle_rotation (x y : V) (θ : Real.Angle) :
o.oangle (o.rotation θ x) (o.rotation θ y) = o.oangle x y := by
by_cases hx : x = 0 <;> by_cases hy : y = 0 <;> simp [hx, hy]
#align orientation.oangle_rotation Orientation.oangle_rotation
@[simp]
theorem rotation_eq_self_iff_angle_eq_zero {x : V} (hx : x ≠ 0) (θ : Real.Angle) :
o.rotation θ x = x ↔ θ = 0 := by
constructor
· intro h
rw [eq_comm]
simpa [hx, h] using o.oangle_rotation_right hx hx θ
· intro h
simp [h]
#align orientation.rotation_eq_self_iff_angle_eq_zero Orientation.rotation_eq_self_iff_angle_eq_zero
@[simp]
theorem eq_rotation_self_iff_angle_eq_zero {x : V} (hx : x ≠ 0) (θ : Real.Angle) :
x = o.rotation θ x ↔ θ = 0 := by rw [← o.rotation_eq_self_iff_angle_eq_zero hx, eq_comm]
#align orientation.eq_rotation_self_iff_angle_eq_zero Orientation.eq_rotation_self_iff_angle_eq_zero
theorem rotation_eq_self_iff (x : V) (θ : Real.Angle) : o.rotation θ x = x ↔ x = 0 ∨ θ = 0 := by
by_cases h : x = 0 <;> simp [h]
#align orientation.rotation_eq_self_iff Orientation.rotation_eq_self_iff
theorem eq_rotation_self_iff (x : V) (θ : Real.Angle) : x = o.rotation θ x ↔ x = 0 ∨ θ = 0 := by
rw [← rotation_eq_self_iff, eq_comm]
#align orientation.eq_rotation_self_iff Orientation.eq_rotation_self_iff
@[simp]
theorem rotation_oangle_eq_iff_norm_eq (x y : V) : o.rotation (o.oangle x y) x = y ↔ ‖x‖ = ‖y‖ := by
constructor
· intro h
rw [← h, LinearIsometryEquiv.norm_map]
· intro h
rw [o.eq_iff_oangle_eq_zero_of_norm_eq] <;> simp [h]
#align orientation.rotation_oangle_eq_iff_norm_eq Orientation.rotation_oangle_eq_iff_norm_eq
theorem oangle_eq_iff_eq_norm_div_norm_smul_rotation_of_ne_zero {x y : V} (hx : x ≠ 0) (hy : y ≠ 0)
(θ : Real.Angle) : o.oangle x y = θ ↔ y = (‖y‖ / ‖x‖) • o.rotation θ x := by
have hp := div_pos (norm_pos_iff.2 hy) (norm_pos_iff.2 hx)
constructor
· rintro rfl
rw [← LinearIsometryEquiv.map_smul, ← o.oangle_smul_left_of_pos x y hp, eq_comm,
rotation_oangle_eq_iff_norm_eq, norm_smul, Real.norm_of_nonneg hp.le,
div_mul_cancel₀ _ (norm_ne_zero_iff.2 hx)]
· intro hye
rw [hye, o.oangle_smul_right_of_pos _ _ hp, o.oangle_rotation_self_right hx]
#align orientation.oangle_eq_iff_eq_norm_div_norm_smul_rotation_of_ne_zero Orientation.oangle_eq_iff_eq_norm_div_norm_smul_rotation_of_ne_zero
theorem oangle_eq_iff_eq_pos_smul_rotation_of_ne_zero {x y : V} (hx : x ≠ 0) (hy : y ≠ 0)
(θ : Real.Angle) : o.oangle x y = θ ↔ ∃ r : ℝ, 0 < r ∧ y = r • o.rotation θ x := by
constructor
· intro h
rw [o.oangle_eq_iff_eq_norm_div_norm_smul_rotation_of_ne_zero hx hy] at h
exact ⟨‖y‖ / ‖x‖, div_pos (norm_pos_iff.2 hy) (norm_pos_iff.2 hx), h⟩
· rintro ⟨r, hr, rfl⟩
rw [o.oangle_smul_right_of_pos _ _ hr, o.oangle_rotation_self_right hx]
#align orientation.oangle_eq_iff_eq_pos_smul_rotation_of_ne_zero Orientation.oangle_eq_iff_eq_pos_smul_rotation_of_ne_zero
| Mathlib/Geometry/Euclidean/Angle/Oriented/Rotation.lean | 351 | 359 | theorem oangle_eq_iff_eq_norm_div_norm_smul_rotation_or_eq_zero {x y : V} (θ : Real.Angle) :
o.oangle x y = θ ↔
x ≠ 0 ∧ y ≠ 0 ∧ y = (‖y‖ / ‖x‖) • o.rotation θ x ∨ θ = 0 ∧ (x = 0 ∨ y = 0) := by |
by_cases hx : x = 0
· simp [hx, eq_comm]
· by_cases hy : y = 0
· simp [hy, eq_comm]
· rw [o.oangle_eq_iff_eq_norm_div_norm_smul_rotation_of_ne_zero hx hy]
simp [hx, hy]
|
import Mathlib.Analysis.InnerProductSpace.PiL2
import Mathlib.LinearAlgebra.Matrix.Block
#align_import analysis.inner_product_space.gram_schmidt_ortho from "leanprover-community/mathlib"@"1a4df69ca1a9a0e5e26bfe12e2b92814216016d0"
open Finset Submodule FiniteDimensional
variable (𝕜 : Type*) {E : Type*} [RCLike 𝕜] [NormedAddCommGroup E] [InnerProductSpace 𝕜 E]
variable {ι : Type*} [LinearOrder ι] [LocallyFiniteOrderBot ι] [IsWellOrder ι (· < ·)]
attribute [local instance] IsWellOrder.toHasWellFounded
local notation "⟪" x ", " y "⟫" => @inner 𝕜 _ _ x y
noncomputable def gramSchmidt [IsWellOrder ι (· < ·)] (f : ι → E) (n : ι) : E :=
f n - ∑ i : Iio n, orthogonalProjection (𝕜 ∙ gramSchmidt f i) (f n)
termination_by n
decreasing_by exact mem_Iio.1 i.2
#align gram_schmidt gramSchmidt
theorem gramSchmidt_def (f : ι → E) (n : ι) :
gramSchmidt 𝕜 f n = f n - ∑ i ∈ Iio n, orthogonalProjection (𝕜 ∙ gramSchmidt 𝕜 f i) (f n) := by
rw [← sum_attach, attach_eq_univ, gramSchmidt]
#align gram_schmidt_def gramSchmidt_def
theorem gramSchmidt_def' (f : ι → E) (n : ι) :
f n = gramSchmidt 𝕜 f n + ∑ i ∈ Iio n, orthogonalProjection (𝕜 ∙ gramSchmidt 𝕜 f i) (f n) := by
rw [gramSchmidt_def, sub_add_cancel]
#align gram_schmidt_def' gramSchmidt_def'
theorem gramSchmidt_def'' (f : ι → E) (n : ι) :
f n = gramSchmidt 𝕜 f n + ∑ i ∈ Iio n,
(⟪gramSchmidt 𝕜 f i, f n⟫ / (‖gramSchmidt 𝕜 f i‖ : 𝕜) ^ 2) • gramSchmidt 𝕜 f i := by
convert gramSchmidt_def' 𝕜 f n
rw [orthogonalProjection_singleton, RCLike.ofReal_pow]
#align gram_schmidt_def'' gramSchmidt_def''
@[simp]
theorem gramSchmidt_zero {ι : Type*} [LinearOrder ι] [LocallyFiniteOrder ι] [OrderBot ι]
[IsWellOrder ι (· < ·)] (f : ι → E) : gramSchmidt 𝕜 f ⊥ = f ⊥ := by
rw [gramSchmidt_def, Iio_eq_Ico, Finset.Ico_self, Finset.sum_empty, sub_zero]
#align gram_schmidt_zero gramSchmidt_zero
theorem gramSchmidt_orthogonal (f : ι → E) {a b : ι} (h₀ : a ≠ b) :
⟪gramSchmidt 𝕜 f a, gramSchmidt 𝕜 f b⟫ = 0 := by
suffices ∀ a b : ι, a < b → ⟪gramSchmidt 𝕜 f a, gramSchmidt 𝕜 f b⟫ = 0 by
cases' h₀.lt_or_lt with ha hb
· exact this _ _ ha
· rw [inner_eq_zero_symm]
exact this _ _ hb
clear h₀ a b
intro a b h₀
revert a
apply wellFounded_lt.induction b
intro b ih a h₀
simp only [gramSchmidt_def 𝕜 f b, inner_sub_right, inner_sum, orthogonalProjection_singleton,
inner_smul_right]
rw [Finset.sum_eq_single_of_mem a (Finset.mem_Iio.mpr h₀)]
· by_cases h : gramSchmidt 𝕜 f a = 0
· simp only [h, inner_zero_left, zero_div, zero_mul, sub_zero]
· rw [RCLike.ofReal_pow, ← inner_self_eq_norm_sq_to_K, div_mul_cancel₀, sub_self]
rwa [inner_self_ne_zero]
intro i hi hia
simp only [mul_eq_zero, div_eq_zero_iff, inner_self_eq_zero]
right
cases' hia.lt_or_lt with hia₁ hia₂
· rw [inner_eq_zero_symm]
exact ih a h₀ i hia₁
· exact ih i (mem_Iio.1 hi) a hia₂
#align gram_schmidt_orthogonal gramSchmidt_orthogonal
theorem gramSchmidt_pairwise_orthogonal (f : ι → E) :
Pairwise fun a b => ⟪gramSchmidt 𝕜 f a, gramSchmidt 𝕜 f b⟫ = 0 := fun _ _ =>
gramSchmidt_orthogonal 𝕜 f
#align gram_schmidt_pairwise_orthogonal gramSchmidt_pairwise_orthogonal
theorem gramSchmidt_inv_triangular (v : ι → E) {i j : ι} (hij : i < j) :
⟪gramSchmidt 𝕜 v j, v i⟫ = 0 := by
rw [gramSchmidt_def'' 𝕜 v]
simp only [inner_add_right, inner_sum, inner_smul_right]
set b : ι → E := gramSchmidt 𝕜 v
convert zero_add (0 : 𝕜)
· exact gramSchmidt_orthogonal 𝕜 v hij.ne'
apply Finset.sum_eq_zero
rintro k hki'
have hki : k < i := by simpa using hki'
have : ⟪b j, b k⟫ = 0 := gramSchmidt_orthogonal 𝕜 v (hki.trans hij).ne'
simp [this]
#align gram_schmidt_inv_triangular gramSchmidt_inv_triangular
open Submodule Set Order
theorem mem_span_gramSchmidt (f : ι → E) {i j : ι} (hij : i ≤ j) :
f i ∈ span 𝕜 (gramSchmidt 𝕜 f '' Set.Iic j) := by
rw [gramSchmidt_def' 𝕜 f i]
simp_rw [orthogonalProjection_singleton]
exact Submodule.add_mem _ (subset_span <| mem_image_of_mem _ hij)
(Submodule.sum_mem _ fun k hk => smul_mem (span 𝕜 (gramSchmidt 𝕜 f '' Set.Iic j)) _ <|
subset_span <| mem_image_of_mem (gramSchmidt 𝕜 f) <| (Finset.mem_Iio.1 hk).le.trans hij)
#align mem_span_gram_schmidt mem_span_gramSchmidt
theorem gramSchmidt_mem_span (f : ι → E) :
∀ {j i}, i ≤ j → gramSchmidt 𝕜 f i ∈ span 𝕜 (f '' Set.Iic j) := by
intro j i hij
rw [gramSchmidt_def 𝕜 f i]
simp_rw [orthogonalProjection_singleton]
refine Submodule.sub_mem _ (subset_span (mem_image_of_mem _ hij))
(Submodule.sum_mem _ fun k hk => ?_)
let hkj : k < j := (Finset.mem_Iio.1 hk).trans_le hij
exact smul_mem _ _
(span_mono (image_subset f <| Iic_subset_Iic.2 hkj.le) <| gramSchmidt_mem_span _ le_rfl)
termination_by j => j
#align gram_schmidt_mem_span gramSchmidt_mem_span
theorem span_gramSchmidt_Iic (f : ι → E) (c : ι) :
span 𝕜 (gramSchmidt 𝕜 f '' Set.Iic c) = span 𝕜 (f '' Set.Iic c) :=
span_eq_span (Set.image_subset_iff.2 fun _ => gramSchmidt_mem_span _ _) <|
Set.image_subset_iff.2 fun _ => mem_span_gramSchmidt _ _
#align span_gram_schmidt_Iic span_gramSchmidt_Iic
theorem span_gramSchmidt_Iio (f : ι → E) (c : ι) :
span 𝕜 (gramSchmidt 𝕜 f '' Set.Iio c) = span 𝕜 (f '' Set.Iio c) :=
span_eq_span (Set.image_subset_iff.2 fun _ hi =>
span_mono (image_subset _ <| Iic_subset_Iio.2 hi) <| gramSchmidt_mem_span _ _ le_rfl) <|
Set.image_subset_iff.2 fun _ hi =>
span_mono (image_subset _ <| Iic_subset_Iio.2 hi) <| mem_span_gramSchmidt _ _ le_rfl
#align span_gram_schmidt_Iio span_gramSchmidt_Iio
theorem span_gramSchmidt (f : ι → E) : span 𝕜 (range (gramSchmidt 𝕜 f)) = span 𝕜 (range f) :=
span_eq_span (range_subset_iff.2 fun _ =>
span_mono (image_subset_range _ _) <| gramSchmidt_mem_span _ _ le_rfl) <|
range_subset_iff.2 fun _ =>
span_mono (image_subset_range _ _) <| mem_span_gramSchmidt _ _ le_rfl
#align span_gram_schmidt span_gramSchmidt
theorem gramSchmidt_of_orthogonal {f : ι → E} (hf : Pairwise fun i j => ⟪f i, f j⟫ = 0) :
gramSchmidt 𝕜 f = f := by
ext i
rw [gramSchmidt_def]
trans f i - 0
· congr
apply Finset.sum_eq_zero
intro j hj
rw [Submodule.coe_eq_zero]
suffices span 𝕜 (f '' Set.Iic j) ⟂ 𝕜 ∙ f i by
apply orthogonalProjection_mem_subspace_orthogonalComplement_eq_zero
rw [mem_orthogonal_singleton_iff_inner_left]
rw [← mem_orthogonal_singleton_iff_inner_right]
exact this (gramSchmidt_mem_span 𝕜 f (le_refl j))
rw [isOrtho_span]
rintro u ⟨k, hk, rfl⟩ v (rfl : v = f i)
apply hf
exact (lt_of_le_of_lt hk (Finset.mem_Iio.mp hj)).ne
· simp
#align gram_schmidt_of_orthogonal gramSchmidt_of_orthogonal
variable {𝕜}
theorem gramSchmidt_ne_zero_coe {f : ι → E} (n : ι)
(h₀ : LinearIndependent 𝕜 (f ∘ ((↑) : Set.Iic n → ι))) : gramSchmidt 𝕜 f n ≠ 0 := by
by_contra h
have h₁ : f n ∈ span 𝕜 (f '' Set.Iio n) := by
rw [← span_gramSchmidt_Iio 𝕜 f n, gramSchmidt_def' 𝕜 f, h, zero_add]
apply Submodule.sum_mem _ _
intro a ha
simp only [Set.mem_image, Set.mem_Iio, orthogonalProjection_singleton]
apply Submodule.smul_mem _ _ _
rw [Finset.mem_Iio] at ha
exact subset_span ⟨a, ha, by rfl⟩
have h₂ : (f ∘ ((↑) : Set.Iic n → ι)) ⟨n, le_refl n⟩ ∈
span 𝕜 (f ∘ ((↑) : Set.Iic n → ι) '' Set.Iio ⟨n, le_refl n⟩) := by
rw [image_comp]
simpa using h₁
apply LinearIndependent.not_mem_span_image h₀ _ h₂
simp only [Set.mem_Iio, lt_self_iff_false, not_false_iff]
#align gram_schmidt_ne_zero_coe gramSchmidt_ne_zero_coe
theorem gramSchmidt_ne_zero {f : ι → E} (n : ι) (h₀ : LinearIndependent 𝕜 f) :
gramSchmidt 𝕜 f n ≠ 0 :=
gramSchmidt_ne_zero_coe _ (LinearIndependent.comp h₀ _ Subtype.coe_injective)
#align gram_schmidt_ne_zero gramSchmidt_ne_zero
theorem gramSchmidt_triangular {i j : ι} (hij : i < j) (b : Basis ι 𝕜 E) :
b.repr (gramSchmidt 𝕜 b i) j = 0 := by
have : gramSchmidt 𝕜 b i ∈ span 𝕜 (gramSchmidt 𝕜 b '' Set.Iio j) :=
subset_span ((Set.mem_image _ _ _).2 ⟨i, hij, rfl⟩)
have : gramSchmidt 𝕜 b i ∈ span 𝕜 (b '' Set.Iio j) := by rwa [← span_gramSchmidt_Iio 𝕜 b j]
have : ↑(b.repr (gramSchmidt 𝕜 b i)).support ⊆ Set.Iio j :=
Basis.repr_support_subset_of_mem_span b (Set.Iio j) this
exact (Finsupp.mem_supported' _ _).1 ((Finsupp.mem_supported 𝕜 _).2 this) j Set.not_mem_Iio_self
#align gram_schmidt_triangular gramSchmidt_triangular
theorem gramSchmidt_linearIndependent {f : ι → E} (h₀ : LinearIndependent 𝕜 f) :
LinearIndependent 𝕜 (gramSchmidt 𝕜 f) :=
linearIndependent_of_ne_zero_of_inner_eq_zero (fun _ => gramSchmidt_ne_zero _ h₀) fun _ _ =>
gramSchmidt_orthogonal 𝕜 f
#align gram_schmidt_linear_independent gramSchmidt_linearIndependent
noncomputable def gramSchmidtBasis (b : Basis ι 𝕜 E) : Basis ι 𝕜 E :=
Basis.mk (gramSchmidt_linearIndependent b.linearIndependent)
((span_gramSchmidt 𝕜 b).trans b.span_eq).ge
#align gram_schmidt_basis gramSchmidtBasis
theorem coe_gramSchmidtBasis (b : Basis ι 𝕜 E) : (gramSchmidtBasis b : ι → E) = gramSchmidt 𝕜 b :=
Basis.coe_mk _ _
#align coe_gram_schmidt_basis coe_gramSchmidtBasis
variable (𝕜)
noncomputable def gramSchmidtNormed (f : ι → E) (n : ι) : E :=
(‖gramSchmidt 𝕜 f n‖ : 𝕜)⁻¹ • gramSchmidt 𝕜 f n
#align gram_schmidt_normed gramSchmidtNormed
variable {𝕜}
theorem gramSchmidtNormed_unit_length_coe {f : ι → E} (n : ι)
(h₀ : LinearIndependent 𝕜 (f ∘ ((↑) : Set.Iic n → ι))) : ‖gramSchmidtNormed 𝕜 f n‖ = 1 := by
simp only [gramSchmidt_ne_zero_coe n h₀, gramSchmidtNormed, norm_smul_inv_norm, Ne,
not_false_iff]
#align gram_schmidt_normed_unit_length_coe gramSchmidtNormed_unit_length_coe
theorem gramSchmidtNormed_unit_length {f : ι → E} (n : ι) (h₀ : LinearIndependent 𝕜 f) :
‖gramSchmidtNormed 𝕜 f n‖ = 1 :=
gramSchmidtNormed_unit_length_coe _ (LinearIndependent.comp h₀ _ Subtype.coe_injective)
#align gram_schmidt_normed_unit_length gramSchmidtNormed_unit_length
| Mathlib/Analysis/InnerProductSpace/GramSchmidtOrtho.lean | 275 | 279 | theorem gramSchmidtNormed_unit_length' {f : ι → E} {n : ι} (hn : gramSchmidtNormed 𝕜 f n ≠ 0) :
‖gramSchmidtNormed 𝕜 f n‖ = 1 := by |
rw [gramSchmidtNormed] at *
rw [norm_smul_inv_norm]
simpa using hn
|
import Mathlib.Topology.UniformSpace.UniformConvergenceTopology
#align_import topology.uniform_space.equicontinuity from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
section
open UniformSpace Filter Set Uniformity Topology UniformConvergence Function
variable {ι κ X X' Y Z α α' β β' γ 𝓕 : Type*} [tX : TopologicalSpace X] [tY : TopologicalSpace Y]
[tZ : TopologicalSpace Z] [uα : UniformSpace α] [uβ : UniformSpace β] [uγ : UniformSpace γ]
def EquicontinuousAt (F : ι → X → α) (x₀ : X) : Prop :=
∀ U ∈ 𝓤 α, ∀ᶠ x in 𝓝 x₀, ∀ i, (F i x₀, F i x) ∈ U
#align equicontinuous_at EquicontinuousAt
protected abbrev Set.EquicontinuousAt (H : Set <| X → α) (x₀ : X) : Prop :=
EquicontinuousAt ((↑) : H → X → α) x₀
#align set.equicontinuous_at Set.EquicontinuousAt
def EquicontinuousWithinAt (F : ι → X → α) (S : Set X) (x₀ : X) : Prop :=
∀ U ∈ 𝓤 α, ∀ᶠ x in 𝓝[S] x₀, ∀ i, (F i x₀, F i x) ∈ U
protected abbrev Set.EquicontinuousWithinAt (H : Set <| X → α) (S : Set X) (x₀ : X) : Prop :=
EquicontinuousWithinAt ((↑) : H → X → α) S x₀
def Equicontinuous (F : ι → X → α) : Prop :=
∀ x₀, EquicontinuousAt F x₀
#align equicontinuous Equicontinuous
protected abbrev Set.Equicontinuous (H : Set <| X → α) : Prop :=
Equicontinuous ((↑) : H → X → α)
#align set.equicontinuous Set.Equicontinuous
def EquicontinuousOn (F : ι → X → α) (S : Set X) : Prop :=
∀ x₀ ∈ S, EquicontinuousWithinAt F S x₀
protected abbrev Set.EquicontinuousOn (H : Set <| X → α) (S : Set X) : Prop :=
EquicontinuousOn ((↑) : H → X → α) S
def UniformEquicontinuous (F : ι → β → α) : Prop :=
∀ U ∈ 𝓤 α, ∀ᶠ xy : β × β in 𝓤 β, ∀ i, (F i xy.1, F i xy.2) ∈ U
#align uniform_equicontinuous UniformEquicontinuous
protected abbrev Set.UniformEquicontinuous (H : Set <| β → α) : Prop :=
UniformEquicontinuous ((↑) : H → β → α)
#align set.uniform_equicontinuous Set.UniformEquicontinuous
def UniformEquicontinuousOn (F : ι → β → α) (S : Set β) : Prop :=
∀ U ∈ 𝓤 α, ∀ᶠ xy : β × β in 𝓤 β ⊓ 𝓟 (S ×ˢ S), ∀ i, (F i xy.1, F i xy.2) ∈ U
protected abbrev Set.UniformEquicontinuousOn (H : Set <| β → α) (S : Set β) : Prop :=
UniformEquicontinuousOn ((↑) : H → β → α) S
lemma EquicontinuousAt.equicontinuousWithinAt {F : ι → X → α} {x₀ : X} (H : EquicontinuousAt F x₀)
(S : Set X) : EquicontinuousWithinAt F S x₀ :=
fun U hU ↦ (H U hU).filter_mono inf_le_left
lemma EquicontinuousWithinAt.mono {F : ι → X → α} {x₀ : X} {S T : Set X}
(H : EquicontinuousWithinAt F T x₀) (hST : S ⊆ T) : EquicontinuousWithinAt F S x₀ :=
fun U hU ↦ (H U hU).filter_mono <| nhdsWithin_mono x₀ hST
@[simp] lemma equicontinuousWithinAt_univ (F : ι → X → α) (x₀ : X) :
EquicontinuousWithinAt F univ x₀ ↔ EquicontinuousAt F x₀ := by
rw [EquicontinuousWithinAt, EquicontinuousAt, nhdsWithin_univ]
lemma equicontinuousAt_restrict_iff (F : ι → X → α) {S : Set X} (x₀ : S) :
EquicontinuousAt (S.restrict ∘ F) x₀ ↔ EquicontinuousWithinAt F S x₀ := by
simp [EquicontinuousWithinAt, EquicontinuousAt,
← eventually_nhds_subtype_iff]
lemma Equicontinuous.equicontinuousOn {F : ι → X → α} (H : Equicontinuous F)
(S : Set X) : EquicontinuousOn F S :=
fun x _ ↦ (H x).equicontinuousWithinAt S
lemma EquicontinuousOn.mono {F : ι → X → α} {S T : Set X}
(H : EquicontinuousOn F T) (hST : S ⊆ T) : EquicontinuousOn F S :=
fun x hx ↦ (H x (hST hx)).mono hST
lemma equicontinuousOn_univ (F : ι → X → α) :
EquicontinuousOn F univ ↔ Equicontinuous F := by
simp [EquicontinuousOn, Equicontinuous]
lemma equicontinuous_restrict_iff (F : ι → X → α) {S : Set X} :
Equicontinuous (S.restrict ∘ F) ↔ EquicontinuousOn F S := by
simp [Equicontinuous, EquicontinuousOn, equicontinuousAt_restrict_iff]
lemma UniformEquicontinuous.uniformEquicontinuousOn {F : ι → β → α} (H : UniformEquicontinuous F)
(S : Set β) : UniformEquicontinuousOn F S :=
fun U hU ↦ (H U hU).filter_mono inf_le_left
lemma UniformEquicontinuousOn.mono {F : ι → β → α} {S T : Set β}
(H : UniformEquicontinuousOn F T) (hST : S ⊆ T) : UniformEquicontinuousOn F S :=
fun U hU ↦ (H U hU).filter_mono <| by gcongr
lemma uniformEquicontinuousOn_univ (F : ι → β → α) :
UniformEquicontinuousOn F univ ↔ UniformEquicontinuous F := by
simp [UniformEquicontinuousOn, UniformEquicontinuous]
lemma uniformEquicontinuous_restrict_iff (F : ι → β → α) {S : Set β} :
UniformEquicontinuous (S.restrict ∘ F) ↔ UniformEquicontinuousOn F S := by
rw [UniformEquicontinuous, UniformEquicontinuousOn]
conv in _ ⊓ _ => rw [← Subtype.range_val (s := S), ← range_prod_map, ← map_comap]
rfl
@[simp]
lemma equicontinuousAt_empty [h : IsEmpty ι] (F : ι → X → α) (x₀ : X) :
EquicontinuousAt F x₀ :=
fun _ _ ↦ eventually_of_forall (fun _ ↦ h.elim)
@[simp]
lemma equicontinuousWithinAt_empty [h : IsEmpty ι] (F : ι → X → α) (S : Set X) (x₀ : X) :
EquicontinuousWithinAt F S x₀ :=
fun _ _ ↦ eventually_of_forall (fun _ ↦ h.elim)
@[simp]
lemma equicontinuous_empty [IsEmpty ι] (F : ι → X → α) :
Equicontinuous F :=
equicontinuousAt_empty F
@[simp]
lemma equicontinuousOn_empty [IsEmpty ι] (F : ι → X → α) (S : Set X) :
EquicontinuousOn F S :=
fun x₀ _ ↦ equicontinuousWithinAt_empty F S x₀
@[simp]
lemma uniformEquicontinuous_empty [h : IsEmpty ι] (F : ι → β → α) :
UniformEquicontinuous F :=
fun _ _ ↦ eventually_of_forall (fun _ ↦ h.elim)
@[simp]
lemma uniformEquicontinuousOn_empty [h : IsEmpty ι] (F : ι → β → α) (S : Set β) :
UniformEquicontinuousOn F S :=
fun _ _ ↦ eventually_of_forall (fun _ ↦ h.elim)
theorem equicontinuousAt_finite [Finite ι] {F : ι → X → α} {x₀ : X} :
EquicontinuousAt F x₀ ↔ ∀ i, ContinuousAt (F i) x₀ := by
simp [EquicontinuousAt, ContinuousAt, (nhds_basis_uniformity' (𝓤 α).basis_sets).tendsto_right_iff,
UniformSpace.ball, @forall_swap _ ι]
theorem equicontinuousWithinAt_finite [Finite ι] {F : ι → X → α} {S : Set X} {x₀ : X} :
EquicontinuousWithinAt F S x₀ ↔ ∀ i, ContinuousWithinAt (F i) S x₀ := by
simp [EquicontinuousWithinAt, ContinuousWithinAt,
(nhds_basis_uniformity' (𝓤 α).basis_sets).tendsto_right_iff, UniformSpace.ball,
@forall_swap _ ι]
theorem equicontinuous_finite [Finite ι] {F : ι → X → α} :
Equicontinuous F ↔ ∀ i, Continuous (F i) := by
simp only [Equicontinuous, equicontinuousAt_finite, continuous_iff_continuousAt, @forall_swap ι]
theorem equicontinuousOn_finite [Finite ι] {F : ι → X → α} {S : Set X} :
EquicontinuousOn F S ↔ ∀ i, ContinuousOn (F i) S := by
simp only [EquicontinuousOn, equicontinuousWithinAt_finite, ContinuousOn, @forall_swap ι]
theorem uniformEquicontinuous_finite [Finite ι] {F : ι → β → α} :
UniformEquicontinuous F ↔ ∀ i, UniformContinuous (F i) := by
simp only [UniformEquicontinuous, eventually_all, @forall_swap _ ι]; rfl
theorem uniformEquicontinuousOn_finite [Finite ι] {F : ι → β → α} {S : Set β} :
UniformEquicontinuousOn F S ↔ ∀ i, UniformContinuousOn (F i) S := by
simp only [UniformEquicontinuousOn, eventually_all, @forall_swap _ ι]; rfl
theorem equicontinuousAt_unique [Unique ι] {F : ι → X → α} {x : X} :
EquicontinuousAt F x ↔ ContinuousAt (F default) x :=
equicontinuousAt_finite.trans Unique.forall_iff
theorem equicontinuousWithinAt_unique [Unique ι] {F : ι → X → α} {S : Set X} {x : X} :
EquicontinuousWithinAt F S x ↔ ContinuousWithinAt (F default) S x :=
equicontinuousWithinAt_finite.trans Unique.forall_iff
theorem equicontinuous_unique [Unique ι] {F : ι → X → α} :
Equicontinuous F ↔ Continuous (F default) :=
equicontinuous_finite.trans Unique.forall_iff
theorem equicontinuousOn_unique [Unique ι] {F : ι → X → α} {S : Set X} :
EquicontinuousOn F S ↔ ContinuousOn (F default) S :=
equicontinuousOn_finite.trans Unique.forall_iff
theorem uniformEquicontinuous_unique [Unique ι] {F : ι → β → α} :
UniformEquicontinuous F ↔ UniformContinuous (F default) :=
uniformEquicontinuous_finite.trans Unique.forall_iff
theorem uniformEquicontinuousOn_unique [Unique ι] {F : ι → β → α} {S : Set β} :
UniformEquicontinuousOn F S ↔ UniformContinuousOn (F default) S :=
uniformEquicontinuousOn_finite.trans Unique.forall_iff
theorem equicontinuousWithinAt_iff_pair {F : ι → X → α} {S : Set X} {x₀ : X} (hx₀ : x₀ ∈ S) :
EquicontinuousWithinAt F S x₀ ↔
∀ U ∈ 𝓤 α, ∃ V ∈ 𝓝[S] x₀, ∀ x ∈ V, ∀ y ∈ V, ∀ i, (F i x, F i y) ∈ U := by
constructor <;> intro H U hU
· rcases comp_symm_mem_uniformity_sets hU with ⟨V, hV, hVsymm, hVU⟩
refine ⟨_, H V hV, fun x hx y hy i => hVU (prod_mk_mem_compRel ?_ (hy i))⟩
exact hVsymm.mk_mem_comm.mp (hx i)
· rcases H U hU with ⟨V, hV, hVU⟩
filter_upwards [hV] using fun x hx i => hVU x₀ (mem_of_mem_nhdsWithin hx₀ hV) x hx i
theorem equicontinuousAt_iff_pair {F : ι → X → α} {x₀ : X} :
EquicontinuousAt F x₀ ↔
∀ U ∈ 𝓤 α, ∃ V ∈ 𝓝 x₀, ∀ x ∈ V, ∀ y ∈ V, ∀ i, (F i x, F i y) ∈ U := by
simp_rw [← equicontinuousWithinAt_univ, equicontinuousWithinAt_iff_pair (mem_univ x₀),
nhdsWithin_univ]
#align equicontinuous_at_iff_pair equicontinuousAt_iff_pair
theorem UniformEquicontinuous.equicontinuous {F : ι → β → α} (h : UniformEquicontinuous F) :
Equicontinuous F := fun x₀ U hU ↦
mem_of_superset (ball_mem_nhds x₀ (h U hU)) fun _ hx i ↦ hx i
#align uniform_equicontinuous.equicontinuous UniformEquicontinuous.equicontinuous
theorem UniformEquicontinuousOn.equicontinuousOn {F : ι → β → α} {S : Set β}
(h : UniformEquicontinuousOn F S) :
EquicontinuousOn F S := fun _ hx₀ U hU ↦
mem_of_superset (ball_mem_nhdsWithin hx₀ (h U hU)) fun _ hx i ↦ hx i
theorem EquicontinuousAt.continuousAt {F : ι → X → α} {x₀ : X} (h : EquicontinuousAt F x₀) (i : ι) :
ContinuousAt (F i) x₀ :=
(UniformSpace.hasBasis_nhds _).tendsto_right_iff.2 fun U ⟨hU, _⟩ ↦ (h U hU).mono fun _x hx ↦ hx i
#align equicontinuous_at.continuous_at EquicontinuousAt.continuousAt
theorem EquicontinuousWithinAt.continuousWithinAt {F : ι → X → α} {S : Set X} {x₀ : X}
(h : EquicontinuousWithinAt F S x₀) (i : ι) :
ContinuousWithinAt (F i) S x₀ :=
(UniformSpace.hasBasis_nhds _).tendsto_right_iff.2 fun U ⟨hU, _⟩ ↦ (h U hU).mono fun _x hx ↦ hx i
protected theorem Set.EquicontinuousAt.continuousAt_of_mem {H : Set <| X → α} {x₀ : X}
(h : H.EquicontinuousAt x₀) {f : X → α} (hf : f ∈ H) : ContinuousAt f x₀ :=
h.continuousAt ⟨f, hf⟩
#align set.equicontinuous_at.continuous_at_of_mem Set.EquicontinuousAt.continuousAt_of_mem
protected theorem Set.EquicontinuousWithinAt.continuousWithinAt_of_mem {H : Set <| X → α}
{S : Set X} {x₀ : X} (h : H.EquicontinuousWithinAt S x₀) {f : X → α} (hf : f ∈ H) :
ContinuousWithinAt f S x₀ :=
h.continuousWithinAt ⟨f, hf⟩
theorem Equicontinuous.continuous {F : ι → X → α} (h : Equicontinuous F) (i : ι) :
Continuous (F i) :=
continuous_iff_continuousAt.mpr fun x => (h x).continuousAt i
#align equicontinuous.continuous Equicontinuous.continuous
theorem EquicontinuousOn.continuousOn {F : ι → X → α} {S : Set X} (h : EquicontinuousOn F S)
(i : ι) : ContinuousOn (F i) S :=
fun x hx ↦ (h x hx).continuousWithinAt i
protected theorem Set.Equicontinuous.continuous_of_mem {H : Set <| X → α} (h : H.Equicontinuous)
{f : X → α} (hf : f ∈ H) : Continuous f :=
h.continuous ⟨f, hf⟩
#align set.equicontinuous.continuous_of_mem Set.Equicontinuous.continuous_of_mem
protected theorem Set.EquicontinuousOn.continuousOn_of_mem {H : Set <| X → α} {S : Set X}
(h : H.EquicontinuousOn S) {f : X → α} (hf : f ∈ H) : ContinuousOn f S :=
h.continuousOn ⟨f, hf⟩
theorem UniformEquicontinuous.uniformContinuous {F : ι → β → α} (h : UniformEquicontinuous F)
(i : ι) : UniformContinuous (F i) := fun U hU =>
mem_map.mpr (mem_of_superset (h U hU) fun _ hxy => hxy i)
#align uniform_equicontinuous.uniform_continuous UniformEquicontinuous.uniformContinuous
theorem UniformEquicontinuousOn.uniformContinuousOn {F : ι → β → α} {S : Set β}
(h : UniformEquicontinuousOn F S) (i : ι) :
UniformContinuousOn (F i) S := fun U hU =>
mem_map.mpr (mem_of_superset (h U hU) fun _ hxy => hxy i)
protected theorem Set.UniformEquicontinuous.uniformContinuous_of_mem {H : Set <| β → α}
(h : H.UniformEquicontinuous) {f : β → α} (hf : f ∈ H) : UniformContinuous f :=
h.uniformContinuous ⟨f, hf⟩
#align set.uniform_equicontinuous.uniform_continuous_of_mem Set.UniformEquicontinuous.uniformContinuous_of_mem
protected theorem Set.UniformEquicontinuousOn.uniformContinuousOn_of_mem {H : Set <| β → α}
{S : Set β} (h : H.UniformEquicontinuousOn S) {f : β → α} (hf : f ∈ H) :
UniformContinuousOn f S :=
h.uniformContinuousOn ⟨f, hf⟩
theorem EquicontinuousAt.comp {F : ι → X → α} {x₀ : X} (h : EquicontinuousAt F x₀) (u : κ → ι) :
EquicontinuousAt (F ∘ u) x₀ := fun U hU => (h U hU).mono fun _ H k => H (u k)
#align equicontinuous_at.comp EquicontinuousAt.comp
theorem EquicontinuousWithinAt.comp {F : ι → X → α} {S : Set X} {x₀ : X}
(h : EquicontinuousWithinAt F S x₀) (u : κ → ι) :
EquicontinuousWithinAt (F ∘ u) S x₀ :=
fun U hU ↦ (h U hU).mono fun _ H k => H (u k)
protected theorem Set.EquicontinuousAt.mono {H H' : Set <| X → α} {x₀ : X}
(h : H.EquicontinuousAt x₀) (hH : H' ⊆ H) : H'.EquicontinuousAt x₀ :=
h.comp (inclusion hH)
#align set.equicontinuous_at.mono Set.EquicontinuousAt.mono
protected theorem Set.EquicontinuousWithinAt.mono {H H' : Set <| X → α} {S : Set X} {x₀ : X}
(h : H.EquicontinuousWithinAt S x₀) (hH : H' ⊆ H) : H'.EquicontinuousWithinAt S x₀ :=
h.comp (inclusion hH)
theorem Equicontinuous.comp {F : ι → X → α} (h : Equicontinuous F) (u : κ → ι) :
Equicontinuous (F ∘ u) := fun x => (h x).comp u
#align equicontinuous.comp Equicontinuous.comp
theorem EquicontinuousOn.comp {F : ι → X → α} {S : Set X} (h : EquicontinuousOn F S) (u : κ → ι) :
EquicontinuousOn (F ∘ u) S := fun x hx ↦ (h x hx).comp u
protected theorem Set.Equicontinuous.mono {H H' : Set <| X → α} (h : H.Equicontinuous)
(hH : H' ⊆ H) : H'.Equicontinuous :=
h.comp (inclusion hH)
#align set.equicontinuous.mono Set.Equicontinuous.mono
protected theorem Set.EquicontinuousOn.mono {H H' : Set <| X → α} {S : Set X}
(h : H.EquicontinuousOn S) (hH : H' ⊆ H) : H'.EquicontinuousOn S :=
h.comp (inclusion hH)
theorem UniformEquicontinuous.comp {F : ι → β → α} (h : UniformEquicontinuous F) (u : κ → ι) :
UniformEquicontinuous (F ∘ u) := fun U hU => (h U hU).mono fun _ H k => H (u k)
#align uniform_equicontinuous.comp UniformEquicontinuous.comp
theorem UniformEquicontinuousOn.comp {F : ι → β → α} {S : Set β} (h : UniformEquicontinuousOn F S)
(u : κ → ι) : UniformEquicontinuousOn (F ∘ u) S :=
fun U hU ↦ (h U hU).mono fun _ H k => H (u k)
protected theorem Set.UniformEquicontinuous.mono {H H' : Set <| β → α} (h : H.UniformEquicontinuous)
(hH : H' ⊆ H) : H'.UniformEquicontinuous :=
h.comp (inclusion hH)
#align set.uniform_equicontinuous.mono Set.UniformEquicontinuous.mono
protected theorem Set.UniformEquicontinuousOn.mono {H H' : Set <| β → α} {S : Set β}
(h : H.UniformEquicontinuousOn S) (hH : H' ⊆ H) : H'.UniformEquicontinuousOn S :=
h.comp (inclusion hH)
theorem equicontinuousAt_iff_range {F : ι → X → α} {x₀ : X} :
EquicontinuousAt F x₀ ↔ EquicontinuousAt ((↑) : range F → X → α) x₀ := by
simp only [EquicontinuousAt, forall_subtype_range_iff]
#align equicontinuous_at_iff_range equicontinuousAt_iff_range
theorem equicontinuousWithinAt_iff_range {F : ι → X → α} {S : Set X} {x₀ : X} :
EquicontinuousWithinAt F S x₀ ↔ EquicontinuousWithinAt ((↑) : range F → X → α) S x₀ := by
simp only [EquicontinuousWithinAt, forall_subtype_range_iff]
theorem equicontinuous_iff_range {F : ι → X → α} :
Equicontinuous F ↔ Equicontinuous ((↑) : range F → X → α) :=
forall_congr' fun _ => equicontinuousAt_iff_range
#align equicontinuous_iff_range equicontinuous_iff_range
theorem equicontinuousOn_iff_range {F : ι → X → α} {S : Set X} :
EquicontinuousOn F S ↔ EquicontinuousOn ((↑) : range F → X → α) S :=
forall_congr' fun _ ↦ forall_congr' fun _ ↦ equicontinuousWithinAt_iff_range
theorem uniformEquicontinuous_iff_range {F : ι → β → α} :
UniformEquicontinuous F ↔ UniformEquicontinuous ((↑) : range F → β → α) :=
⟨fun h => by rw [← comp_rangeSplitting F]; exact h.comp _, fun h =>
h.comp (rangeFactorization F)⟩
#align uniform_equicontinuous_at_iff_range uniformEquicontinuous_iff_range
theorem uniformEquicontinuousOn_iff_range {F : ι → β → α} {S : Set β} :
UniformEquicontinuousOn F S ↔ UniformEquicontinuousOn ((↑) : range F → β → α) S :=
⟨fun h => by rw [← comp_rangeSplitting F]; exact h.comp _, fun h =>
h.comp (rangeFactorization F)⟩
section
open UniformFun
theorem equicontinuousAt_iff_continuousAt {F : ι → X → α} {x₀ : X} :
EquicontinuousAt F x₀ ↔ ContinuousAt (ofFun ∘ Function.swap F : X → ι →ᵤ α) x₀ := by
rw [ContinuousAt, (UniformFun.hasBasis_nhds ι α _).tendsto_right_iff]
rfl
#align equicontinuous_at_iff_continuous_at equicontinuousAt_iff_continuousAt
theorem equicontinuousWithinAt_iff_continuousWithinAt {F : ι → X → α} {S : Set X} {x₀ : X} :
EquicontinuousWithinAt F S x₀ ↔
ContinuousWithinAt (ofFun ∘ Function.swap F : X → ι →ᵤ α) S x₀ := by
rw [ContinuousWithinAt, (UniformFun.hasBasis_nhds ι α _).tendsto_right_iff]
rfl
theorem equicontinuous_iff_continuous {F : ι → X → α} :
Equicontinuous F ↔ Continuous (ofFun ∘ Function.swap F : X → ι →ᵤ α) := by
simp_rw [Equicontinuous, continuous_iff_continuousAt, equicontinuousAt_iff_continuousAt]
#align equicontinuous_iff_continuous equicontinuous_iff_continuous
theorem equicontinuousOn_iff_continuousOn {F : ι → X → α} {S : Set X} :
EquicontinuousOn F S ↔ ContinuousOn (ofFun ∘ Function.swap F : X → ι →ᵤ α) S := by
simp_rw [EquicontinuousOn, ContinuousOn, equicontinuousWithinAt_iff_continuousWithinAt]
theorem uniformEquicontinuous_iff_uniformContinuous {F : ι → β → α} :
UniformEquicontinuous F ↔ UniformContinuous (ofFun ∘ Function.swap F : β → ι →ᵤ α) := by
rw [UniformContinuous, (UniformFun.hasBasis_uniformity ι α).tendsto_right_iff]
rfl
#align uniform_equicontinuous_iff_uniform_continuous uniformEquicontinuous_iff_uniformContinuous
theorem uniformEquicontinuousOn_iff_uniformContinuousOn {F : ι → β → α} {S : Set β} :
UniformEquicontinuousOn F S ↔ UniformContinuousOn (ofFun ∘ Function.swap F : β → ι →ᵤ α) S := by
rw [UniformContinuousOn, (UniformFun.hasBasis_uniformity ι α).tendsto_right_iff]
rfl
theorem equicontinuousWithinAt_iInf_rng {u : κ → UniformSpace α'} {F : ι → X → α'}
{S : Set X} {x₀ : X} : EquicontinuousWithinAt (uα := ⨅ k, u k) F S x₀ ↔
∀ k, EquicontinuousWithinAt (uα := u k) F S x₀ := by
simp only [equicontinuousWithinAt_iff_continuousWithinAt (uα := _), topologicalSpace]
unfold ContinuousWithinAt
rw [UniformFun.iInf_eq, toTopologicalSpace_iInf, nhds_iInf, tendsto_iInf]
theorem equicontinuousAt_iInf_rng {u : κ → UniformSpace α'} {F : ι → X → α'}
{x₀ : X} :
EquicontinuousAt (uα := ⨅ k, u k) F x₀ ↔ ∀ k, EquicontinuousAt (uα := u k) F x₀ := by
simp only [← equicontinuousWithinAt_univ (uα := _), equicontinuousWithinAt_iInf_rng]
theorem equicontinuous_iInf_rng {u : κ → UniformSpace α'} {F : ι → X → α'} :
Equicontinuous (uα := ⨅ k, u k) F ↔ ∀ k, Equicontinuous (uα := u k) F := by
simp_rw [equicontinuous_iff_continuous (uα := _), UniformFun.topologicalSpace]
rw [UniformFun.iInf_eq, toTopologicalSpace_iInf, continuous_iInf_rng]
theorem equicontinuousOn_iInf_rng {u : κ → UniformSpace α'} {F : ι → X → α'}
{S : Set X} :
EquicontinuousOn (uα := ⨅ k, u k) F S ↔ ∀ k, EquicontinuousOn (uα := u k) F S := by
simp_rw [EquicontinuousOn, equicontinuousWithinAt_iInf_rng, @forall_swap _ κ]
theorem uniformEquicontinuous_iInf_rng {u : κ → UniformSpace α'} {F : ι → β → α'} :
UniformEquicontinuous (uα := ⨅ k, u k) F ↔ ∀ k, UniformEquicontinuous (uα := u k) F := by
simp_rw [uniformEquicontinuous_iff_uniformContinuous (uα := _)]
rw [UniformFun.iInf_eq, uniformContinuous_iInf_rng]
theorem uniformEquicontinuousOn_iInf_rng {u : κ → UniformSpace α'} {F : ι → β → α'}
{S : Set β} : UniformEquicontinuousOn (uα := ⨅ k, u k) F S ↔
∀ k, UniformEquicontinuousOn (uα := u k) F S := by
simp_rw [uniformEquicontinuousOn_iff_uniformContinuousOn (uα := _)]
unfold UniformContinuousOn
rw [UniformFun.iInf_eq, iInf_uniformity, tendsto_iInf]
theorem equicontinuousWithinAt_iInf_dom {t : κ → TopologicalSpace X'} {F : ι → X' → α}
{S : Set X'} {x₀ : X'} {k : κ} (hk : EquicontinuousWithinAt (tX := t k) F S x₀) :
EquicontinuousWithinAt (tX := ⨅ k, t k) F S x₀ := by
simp [equicontinuousWithinAt_iff_continuousWithinAt (tX := _)] at hk ⊢
unfold ContinuousWithinAt nhdsWithin at hk ⊢
rw [nhds_iInf]
exact hk.mono_left <| inf_le_inf_right _ <| iInf_le _ k
theorem equicontinuousAt_iInf_dom {t : κ → TopologicalSpace X'} {F : ι → X' → α}
{x₀ : X'} {k : κ} (hk : EquicontinuousAt (tX := t k) F x₀) :
EquicontinuousAt (tX := ⨅ k, t k) F x₀ := by
rw [← equicontinuousWithinAt_univ (tX := _)] at hk ⊢
exact equicontinuousWithinAt_iInf_dom hk
theorem equicontinuous_iInf_dom {t : κ → TopologicalSpace X'} {F : ι → X' → α}
{k : κ} (hk : Equicontinuous (tX := t k) F) :
Equicontinuous (tX := ⨅ k, t k) F :=
fun x ↦ equicontinuousAt_iInf_dom (hk x)
theorem equicontinuousOn_iInf_dom {t : κ → TopologicalSpace X'} {F : ι → X' → α}
{S : Set X'} {k : κ} (hk : EquicontinuousOn (tX := t k) F S) :
EquicontinuousOn (tX := ⨅ k, t k) F S :=
fun x hx ↦ equicontinuousWithinAt_iInf_dom (hk x hx)
theorem uniformEquicontinuous_iInf_dom {u : κ → UniformSpace β'} {F : ι → β' → α}
{k : κ} (hk : UniformEquicontinuous (uβ := u k) F) :
UniformEquicontinuous (uβ := ⨅ k, u k) F := by
simp_rw [uniformEquicontinuous_iff_uniformContinuous (uβ := _)] at hk ⊢
exact uniformContinuous_iInf_dom hk
theorem uniformEquicontinuousOn_iInf_dom {u : κ → UniformSpace β'} {F : ι → β' → α}
{S : Set β'} {k : κ} (hk : UniformEquicontinuousOn (uβ := u k) F S) :
UniformEquicontinuousOn (uβ := ⨅ k, u k) F S := by
simp_rw [uniformEquicontinuousOn_iff_uniformContinuousOn (uβ := _)] at hk ⊢
unfold UniformContinuousOn
rw [iInf_uniformity]
exact hk.mono_left <| inf_le_inf_right _ <| iInf_le _ k
theorem Filter.HasBasis.equicontinuousAt_iff_left {p : κ → Prop} {s : κ → Set X}
{F : ι → X → α} {x₀ : X} (hX : (𝓝 x₀).HasBasis p s) :
EquicontinuousAt F x₀ ↔ ∀ U ∈ 𝓤 α, ∃ k, p k ∧ ∀ x ∈ s k, ∀ i, (F i x₀, F i x) ∈ U := by
rw [equicontinuousAt_iff_continuousAt, ContinuousAt,
hX.tendsto_iff (UniformFun.hasBasis_nhds ι α _)]
rfl
#align filter.has_basis.equicontinuous_at_iff_left Filter.HasBasis.equicontinuousAt_iff_left
theorem Filter.HasBasis.equicontinuousWithinAt_iff_left {p : κ → Prop} {s : κ → Set X}
{F : ι → X → α} {S : Set X} {x₀ : X} (hX : (𝓝[S] x₀).HasBasis p s) :
EquicontinuousWithinAt F S x₀ ↔ ∀ U ∈ 𝓤 α, ∃ k, p k ∧ ∀ x ∈ s k, ∀ i, (F i x₀, F i x) ∈ U := by
rw [equicontinuousWithinAt_iff_continuousWithinAt, ContinuousWithinAt,
hX.tendsto_iff (UniformFun.hasBasis_nhds ι α _)]
rfl
theorem Filter.HasBasis.equicontinuousAt_iff_right {p : κ → Prop} {s : κ → Set (α × α)}
{F : ι → X → α} {x₀ : X} (hα : (𝓤 α).HasBasis p s) :
EquicontinuousAt F x₀ ↔ ∀ k, p k → ∀ᶠ x in 𝓝 x₀, ∀ i, (F i x₀, F i x) ∈ s k := by
rw [equicontinuousAt_iff_continuousAt, ContinuousAt,
(UniformFun.hasBasis_nhds_of_basis ι α _ hα).tendsto_right_iff]
rfl
#align filter.has_basis.equicontinuous_at_iff_right Filter.HasBasis.equicontinuousAt_iff_right
theorem Filter.HasBasis.equicontinuousWithinAt_iff_right {p : κ → Prop}
{s : κ → Set (α × α)} {F : ι → X → α} {S : Set X} {x₀ : X} (hα : (𝓤 α).HasBasis p s) :
EquicontinuousWithinAt F S x₀ ↔ ∀ k, p k → ∀ᶠ x in 𝓝[S] x₀, ∀ i, (F i x₀, F i x) ∈ s k := by
rw [equicontinuousWithinAt_iff_continuousWithinAt, ContinuousWithinAt,
(UniformFun.hasBasis_nhds_of_basis ι α _ hα).tendsto_right_iff]
rfl
theorem Filter.HasBasis.equicontinuousAt_iff {κ₁ κ₂ : Type*} {p₁ : κ₁ → Prop} {s₁ : κ₁ → Set X}
{p₂ : κ₂ → Prop} {s₂ : κ₂ → Set (α × α)} {F : ι → X → α} {x₀ : X} (hX : (𝓝 x₀).HasBasis p₁ s₁)
(hα : (𝓤 α).HasBasis p₂ s₂) :
EquicontinuousAt F x₀ ↔
∀ k₂, p₂ k₂ → ∃ k₁, p₁ k₁ ∧ ∀ x ∈ s₁ k₁, ∀ i, (F i x₀, F i x) ∈ s₂ k₂ := by
rw [equicontinuousAt_iff_continuousAt, ContinuousAt,
hX.tendsto_iff (UniformFun.hasBasis_nhds_of_basis ι α _ hα)]
rfl
#align filter.has_basis.equicontinuous_at_iff Filter.HasBasis.equicontinuousAt_iff
theorem Filter.HasBasis.equicontinuousWithinAt_iff {κ₁ κ₂ : Type*} {p₁ : κ₁ → Prop}
{s₁ : κ₁ → Set X} {p₂ : κ₂ → Prop} {s₂ : κ₂ → Set (α × α)} {F : ι → X → α} {S : Set X} {x₀ : X}
(hX : (𝓝[S] x₀).HasBasis p₁ s₁) (hα : (𝓤 α).HasBasis p₂ s₂) :
EquicontinuousWithinAt F S x₀ ↔
∀ k₂, p₂ k₂ → ∃ k₁, p₁ k₁ ∧ ∀ x ∈ s₁ k₁, ∀ i, (F i x₀, F i x) ∈ s₂ k₂ := by
rw [equicontinuousWithinAt_iff_continuousWithinAt, ContinuousWithinAt,
hX.tendsto_iff (UniformFun.hasBasis_nhds_of_basis ι α _ hα)]
rfl
theorem Filter.HasBasis.uniformEquicontinuous_iff_left {p : κ → Prop}
{s : κ → Set (β × β)} {F : ι → β → α} (hβ : (𝓤 β).HasBasis p s) :
UniformEquicontinuous F ↔
∀ U ∈ 𝓤 α, ∃ k, p k ∧ ∀ x y, (x, y) ∈ s k → ∀ i, (F i x, F i y) ∈ U := by
rw [uniformEquicontinuous_iff_uniformContinuous, UniformContinuous,
hβ.tendsto_iff (UniformFun.hasBasis_uniformity ι α)]
simp only [Prod.forall]
rfl
#align filter.has_basis.uniform_equicontinuous_iff_left Filter.HasBasis.uniformEquicontinuous_iff_left
theorem Filter.HasBasis.uniformEquicontinuousOn_iff_left {p : κ → Prop}
{s : κ → Set (β × β)} {F : ι → β → α} {S : Set β} (hβ : (𝓤 β ⊓ 𝓟 (S ×ˢ S)).HasBasis p s) :
UniformEquicontinuousOn F S ↔
∀ U ∈ 𝓤 α, ∃ k, p k ∧ ∀ x y, (x, y) ∈ s k → ∀ i, (F i x, F i y) ∈ U := by
rw [uniformEquicontinuousOn_iff_uniformContinuousOn, UniformContinuousOn,
hβ.tendsto_iff (UniformFun.hasBasis_uniformity ι α)]
simp only [Prod.forall]
rfl
theorem Filter.HasBasis.uniformEquicontinuous_iff_right {p : κ → Prop}
{s : κ → Set (α × α)} {F : ι → β → α} (hα : (𝓤 α).HasBasis p s) :
UniformEquicontinuous F ↔ ∀ k, p k → ∀ᶠ xy : β × β in 𝓤 β, ∀ i, (F i xy.1, F i xy.2) ∈ s k := by
rw [uniformEquicontinuous_iff_uniformContinuous, UniformContinuous,
(UniformFun.hasBasis_uniformity_of_basis ι α hα).tendsto_right_iff]
rfl
#align filter.has_basis.uniform_equicontinuous_iff_right Filter.HasBasis.uniformEquicontinuous_iff_right
theorem Filter.HasBasis.uniformEquicontinuousOn_iff_right {p : κ → Prop}
{s : κ → Set (α × α)} {F : ι → β → α} {S : Set β} (hα : (𝓤 α).HasBasis p s) :
UniformEquicontinuousOn F S ↔
∀ k, p k → ∀ᶠ xy : β × β in 𝓤 β ⊓ 𝓟 (S ×ˢ S), ∀ i, (F i xy.1, F i xy.2) ∈ s k := by
rw [uniformEquicontinuousOn_iff_uniformContinuousOn, UniformContinuousOn,
(UniformFun.hasBasis_uniformity_of_basis ι α hα).tendsto_right_iff]
rfl
theorem Filter.HasBasis.uniformEquicontinuous_iff {κ₁ κ₂ : Type*} {p₁ : κ₁ → Prop}
{s₁ : κ₁ → Set (β × β)} {p₂ : κ₂ → Prop} {s₂ : κ₂ → Set (α × α)} {F : ι → β → α}
(hβ : (𝓤 β).HasBasis p₁ s₁) (hα : (𝓤 α).HasBasis p₂ s₂) :
UniformEquicontinuous F ↔
∀ k₂, p₂ k₂ → ∃ k₁, p₁ k₁ ∧ ∀ x y, (x, y) ∈ s₁ k₁ → ∀ i, (F i x, F i y) ∈ s₂ k₂ := by
rw [uniformEquicontinuous_iff_uniformContinuous, UniformContinuous,
hβ.tendsto_iff (UniformFun.hasBasis_uniformity_of_basis ι α hα)]
simp only [Prod.forall]
rfl
#align filter.has_basis.uniform_equicontinuous_iff Filter.HasBasis.uniformEquicontinuous_iff
theorem Filter.HasBasis.uniformEquicontinuousOn_iff {κ₁ κ₂ : Type*} {p₁ : κ₁ → Prop}
{s₁ : κ₁ → Set (β × β)} {p₂ : κ₂ → Prop} {s₂ : κ₂ → Set (α × α)} {F : ι → β → α}
{S : Set β} (hβ : (𝓤 β ⊓ 𝓟 (S ×ˢ S)).HasBasis p₁ s₁) (hα : (𝓤 α).HasBasis p₂ s₂) :
UniformEquicontinuousOn F S ↔
∀ k₂, p₂ k₂ → ∃ k₁, p₁ k₁ ∧ ∀ x y, (x, y) ∈ s₁ k₁ → ∀ i, (F i x, F i y) ∈ s₂ k₂ := by
rw [uniformEquicontinuousOn_iff_uniformContinuousOn, UniformContinuousOn,
hβ.tendsto_iff (UniformFun.hasBasis_uniformity_of_basis ι α hα)]
simp only [Prod.forall]
rfl
theorem UniformInducing.equicontinuousAt_iff {F : ι → X → α} {x₀ : X} {u : α → β}
(hu : UniformInducing u) : EquicontinuousAt F x₀ ↔ EquicontinuousAt ((u ∘ ·) ∘ F) x₀ := by
have := (UniformFun.postcomp_uniformInducing (α := ι) hu).inducing
rw [equicontinuousAt_iff_continuousAt, equicontinuousAt_iff_continuousAt, this.continuousAt_iff]
rfl
#align uniform_inducing.equicontinuous_at_iff UniformInducing.equicontinuousAt_iff
theorem UniformInducing.equicontinuousWithinAt_iff {F : ι → X → α} {S : Set X} {x₀ : X} {u : α → β}
(hu : UniformInducing u) : EquicontinuousWithinAt F S x₀ ↔
EquicontinuousWithinAt ((u ∘ ·) ∘ F) S x₀ := by
have := (UniformFun.postcomp_uniformInducing (α := ι) hu).inducing
simp only [equicontinuousWithinAt_iff_continuousWithinAt, this.continuousWithinAt_iff]
rfl
theorem UniformInducing.equicontinuous_iff {F : ι → X → α} {u : α → β} (hu : UniformInducing u) :
Equicontinuous F ↔ Equicontinuous ((u ∘ ·) ∘ F) := by
congrm ∀ x, ?_
rw [hu.equicontinuousAt_iff]
#align uniform_inducing.equicontinuous_iff UniformInducing.equicontinuous_iff
theorem UniformInducing.equicontinuousOn_iff {F : ι → X → α} {S : Set X} {u : α → β}
(hu : UniformInducing u) : EquicontinuousOn F S ↔ EquicontinuousOn ((u ∘ ·) ∘ F) S := by
congrm ∀ x ∈ S, ?_
rw [hu.equicontinuousWithinAt_iff]
theorem UniformInducing.uniformEquicontinuous_iff {F : ι → β → α} {u : α → γ}
(hu : UniformInducing u) : UniformEquicontinuous F ↔ UniformEquicontinuous ((u ∘ ·) ∘ F) := by
have := UniformFun.postcomp_uniformInducing (α := ι) hu
simp only [uniformEquicontinuous_iff_uniformContinuous, this.uniformContinuous_iff]
rfl
#align uniform_inducing.uniform_equicontinuous_iff UniformInducing.uniformEquicontinuous_iff
theorem UniformInducing.uniformEquicontinuousOn_iff {F : ι → β → α} {S : Set β} {u : α → γ}
(hu : UniformInducing u) :
UniformEquicontinuousOn F S ↔ UniformEquicontinuousOn ((u ∘ ·) ∘ F) S := by
have := UniformFun.postcomp_uniformInducing (α := ι) hu
simp only [uniformEquicontinuousOn_iff_uniformContinuousOn, this.uniformContinuousOn_iff]
rfl
| Mathlib/Topology/UniformSpace/Equicontinuity.lean | 804 | 814 | theorem EquicontinuousWithinAt.closure' {A : Set Y} {u : Y → X → α} {S : Set X} {x₀ : X}
(hA : EquicontinuousWithinAt (u ∘ (↑) : A → X → α) S x₀) (hu₁ : Continuous (S.restrict ∘ u))
(hu₂ : Continuous (eval x₀ ∘ u)) :
EquicontinuousWithinAt (u ∘ (↑) : closure A → X → α) S x₀ := by |
intro U hU
rcases mem_uniformity_isClosed hU with ⟨V, hV, hVclosed, hVU⟩
filter_upwards [hA V hV, eventually_mem_nhdsWithin] with x hx hxS
rw [SetCoe.forall] at *
change A ⊆ (fun f => (u f x₀, u f x)) ⁻¹' V at hx
refine (closure_minimal hx <| hVclosed.preimage <| hu₂.prod_mk ?_).trans (preimage_mono hVU)
exact (continuous_apply ⟨x, hxS⟩).comp hu₁
|
import Mathlib.Analysis.Asymptotics.AsymptoticEquivalent
import Mathlib.Analysis.Calculus.FDeriv.Linear
import Mathlib.Analysis.Calculus.FDeriv.Comp
#align_import analysis.calculus.fderiv.equiv from "leanprover-community/mathlib"@"e3fb84046afd187b710170887195d50bada934ee"
open Filter Asymptotics ContinuousLinearMap Set Metric
open scoped Classical
open Topology NNReal Filter Asymptotics ENNReal
noncomputable section
section
variable {𝕜 : Type*} [NontriviallyNormedField 𝕜]
variable {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E]
variable {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F]
variable {G : Type*} [NormedAddCommGroup G] [NormedSpace 𝕜 G]
variable {G' : Type*} [NormedAddCommGroup G'] [NormedSpace 𝕜 G']
variable {f f₀ f₁ g : E → F}
variable {f' f₀' f₁' g' : E →L[𝕜] F}
variable (e : E →L[𝕜] F)
variable {x : E}
variable {s t : Set E}
variable {L L₁ L₂ : Filter E}
namespace ContinuousLinearEquiv
variable (iso : E ≃L[𝕜] F)
@[fun_prop]
protected theorem hasStrictFDerivAt : HasStrictFDerivAt iso (iso : E →L[𝕜] F) x :=
iso.toContinuousLinearMap.hasStrictFDerivAt
#align continuous_linear_equiv.has_strict_fderiv_at ContinuousLinearEquiv.hasStrictFDerivAt
@[fun_prop]
protected theorem hasFDerivWithinAt : HasFDerivWithinAt iso (iso : E →L[𝕜] F) s x :=
iso.toContinuousLinearMap.hasFDerivWithinAt
#align continuous_linear_equiv.has_fderiv_within_at ContinuousLinearEquiv.hasFDerivWithinAt
@[fun_prop]
protected theorem hasFDerivAt : HasFDerivAt iso (iso : E →L[𝕜] F) x :=
iso.toContinuousLinearMap.hasFDerivAtFilter
#align continuous_linear_equiv.has_fderiv_at ContinuousLinearEquiv.hasFDerivAt
@[fun_prop]
protected theorem differentiableAt : DifferentiableAt 𝕜 iso x :=
iso.hasFDerivAt.differentiableAt
#align continuous_linear_equiv.differentiable_at ContinuousLinearEquiv.differentiableAt
@[fun_prop]
protected theorem differentiableWithinAt : DifferentiableWithinAt 𝕜 iso s x :=
iso.differentiableAt.differentiableWithinAt
#align continuous_linear_equiv.differentiable_within_at ContinuousLinearEquiv.differentiableWithinAt
protected theorem fderiv : fderiv 𝕜 iso x = iso :=
iso.hasFDerivAt.fderiv
#align continuous_linear_equiv.fderiv ContinuousLinearEquiv.fderiv
protected theorem fderivWithin (hxs : UniqueDiffWithinAt 𝕜 s x) : fderivWithin 𝕜 iso s x = iso :=
iso.toContinuousLinearMap.fderivWithin hxs
#align continuous_linear_equiv.fderiv_within ContinuousLinearEquiv.fderivWithin
@[fun_prop]
protected theorem differentiable : Differentiable 𝕜 iso := fun _ => iso.differentiableAt
#align continuous_linear_equiv.differentiable ContinuousLinearEquiv.differentiable
@[fun_prop]
protected theorem differentiableOn : DifferentiableOn 𝕜 iso s :=
iso.differentiable.differentiableOn
#align continuous_linear_equiv.differentiable_on ContinuousLinearEquiv.differentiableOn
theorem comp_differentiableWithinAt_iff {f : G → E} {s : Set G} {x : G} :
DifferentiableWithinAt 𝕜 (iso ∘ f) s x ↔ DifferentiableWithinAt 𝕜 f s x := by
refine
⟨fun H => ?_, fun H => iso.differentiable.differentiableAt.comp_differentiableWithinAt x H⟩
have : DifferentiableWithinAt 𝕜 (iso.symm ∘ iso ∘ f) s x :=
iso.symm.differentiable.differentiableAt.comp_differentiableWithinAt x H
rwa [← Function.comp.assoc iso.symm iso f, iso.symm_comp_self] at this
#align continuous_linear_equiv.comp_differentiable_within_at_iff ContinuousLinearEquiv.comp_differentiableWithinAt_iff
| Mathlib/Analysis/Calculus/FDeriv/Equiv.lean | 104 | 107 | theorem comp_differentiableAt_iff {f : G → E} {x : G} :
DifferentiableAt 𝕜 (iso ∘ f) x ↔ DifferentiableAt 𝕜 f x := by |
rw [← differentiableWithinAt_univ, ← differentiableWithinAt_univ,
iso.comp_differentiableWithinAt_iff]
|
import Mathlib.Data.Finset.Lattice
#align_import combinatorics.set_family.compression.down from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853"
variable {α : Type*} [DecidableEq α] {𝒜 ℬ : Finset (Finset α)} {s : Finset α} {a : α}
namespace Finset
def nonMemberSubfamily (a : α) (𝒜 : Finset (Finset α)) : Finset (Finset α) :=
𝒜.filter fun s => a ∉ s
#align finset.non_member_subfamily Finset.nonMemberSubfamily
def memberSubfamily (a : α) (𝒜 : Finset (Finset α)) : Finset (Finset α) :=
(𝒜.filter fun s => a ∈ s).image fun s => erase s a
#align finset.member_subfamily Finset.memberSubfamily
@[simp]
theorem mem_nonMemberSubfamily : s ∈ 𝒜.nonMemberSubfamily a ↔ s ∈ 𝒜 ∧ a ∉ s := by
simp [nonMemberSubfamily]
#align finset.mem_non_member_subfamily Finset.mem_nonMemberSubfamily
@[simp]
theorem mem_memberSubfamily : s ∈ 𝒜.memberSubfamily a ↔ insert a s ∈ 𝒜 ∧ a ∉ s := by
simp_rw [memberSubfamily, mem_image, mem_filter]
refine ⟨?_, fun h => ⟨insert a s, ⟨h.1, by simp⟩, erase_insert h.2⟩⟩
rintro ⟨s, ⟨hs1, hs2⟩, rfl⟩
rw [insert_erase hs2]
exact ⟨hs1, not_mem_erase _ _⟩
#align finset.mem_member_subfamily Finset.mem_memberSubfamily
theorem nonMemberSubfamily_inter (a : α) (𝒜 ℬ : Finset (Finset α)) :
(𝒜 ∩ ℬ).nonMemberSubfamily a = 𝒜.nonMemberSubfamily a ∩ ℬ.nonMemberSubfamily a :=
filter_inter_distrib _ _ _
#align finset.non_member_subfamily_inter Finset.nonMemberSubfamily_inter
theorem memberSubfamily_inter (a : α) (𝒜 ℬ : Finset (Finset α)) :
(𝒜 ∩ ℬ).memberSubfamily a = 𝒜.memberSubfamily a ∩ ℬ.memberSubfamily a := by
unfold memberSubfamily
rw [filter_inter_distrib, image_inter_of_injOn _ _ ((erase_injOn' _).mono _)]
simp
#align finset.member_subfamily_inter Finset.memberSubfamily_inter
theorem nonMemberSubfamily_union (a : α) (𝒜 ℬ : Finset (Finset α)) :
(𝒜 ∪ ℬ).nonMemberSubfamily a = 𝒜.nonMemberSubfamily a ∪ ℬ.nonMemberSubfamily a :=
filter_union _ _ _
#align finset.non_member_subfamily_union Finset.nonMemberSubfamily_union
| Mathlib/Combinatorics/SetFamily/Compression/Down.lean | 86 | 88 | theorem memberSubfamily_union (a : α) (𝒜 ℬ : Finset (Finset α)) :
(𝒜 ∪ ℬ).memberSubfamily a = 𝒜.memberSubfamily a ∪ ℬ.memberSubfamily a := by |
simp_rw [memberSubfamily, filter_union, image_union]
|
import Mathlib.Analysis.Convex.Combination
import Mathlib.Analysis.Convex.Strict
import Mathlib.Topology.Connected.PathConnected
import Mathlib.Topology.Algebra.Affine
import Mathlib.Topology.Algebra.Module.Basic
#align_import analysis.convex.topology from "leanprover-community/mathlib"@"0e3aacdc98d25e0afe035c452d876d28cbffaa7e"
assert_not_exists Norm
open Metric Bornology Set Pointwise Convex
variable {ι 𝕜 E : Type*}
theorem Real.convex_iff_isPreconnected {s : Set ℝ} : Convex ℝ s ↔ IsPreconnected s :=
convex_iff_ordConnected.trans isPreconnected_iff_ordConnected.symm
#align real.convex_iff_is_preconnected Real.convex_iff_isPreconnected
alias ⟨_, IsPreconnected.convex⟩ := Real.convex_iff_isPreconnected
#align is_preconnected.convex IsPreconnected.convex
section ContinuousConstSMul
variable [LinearOrderedField 𝕜] [AddCommGroup E] [Module 𝕜 E] [TopologicalSpace E]
[TopologicalAddGroup E] [ContinuousConstSMul 𝕜 E]
| Mathlib/Analysis/Convex/Topology.lean | 124 | 132 | theorem Convex.combo_interior_closure_subset_interior {s : Set E} (hs : Convex 𝕜 s) {a b : 𝕜}
(ha : 0 < a) (hb : 0 ≤ b) (hab : a + b = 1) : a • interior s + b • closure s ⊆ interior s :=
interior_smul₀ ha.ne' s ▸
calc
interior (a • s) + b • closure s ⊆ interior (a • s) + closure (b • s) :=
add_subset_add Subset.rfl (smul_closure_subset b s)
_ = interior (a • s) + b • s := by | rw [isOpen_interior.add_closure (b • s)]
_ ⊆ interior (a • s + b • s) := subset_interior_add_left
_ ⊆ interior s := interior_mono <| hs.set_combo_subset ha.le hb hab
|
import Mathlib.CategoryTheory.Category.Grpd
import Mathlib.CategoryTheory.Groupoid
import Mathlib.Topology.Category.TopCat.Basic
import Mathlib.Topology.Homotopy.Path
import Mathlib.Data.Set.Subsingleton
#align_import algebraic_topology.fundamental_groupoid.basic from "leanprover-community/mathlib"@"3d7987cda72abc473c7cdbbb075170e9ac620042"
open CategoryTheory
universe u v
variable {X : Type u} {Y : Type v} [TopologicalSpace X] [TopologicalSpace Y]
variable {x₀ x₁ : X}
noncomputable section
open unitInterval
namespace Path
namespace Homotopy
section
def reflTransSymmAux (x : I × I) : ℝ :=
if (x.2 : ℝ) ≤ 1 / 2 then x.1 * 2 * x.2 else x.1 * (2 - 2 * x.2)
#align path.homotopy.refl_trans_symm_aux Path.Homotopy.reflTransSymmAux
@[continuity]
theorem continuous_reflTransSymmAux : Continuous reflTransSymmAux := by
refine continuous_if_le ?_ ?_ (Continuous.continuousOn ?_) (Continuous.continuousOn ?_) ?_
· continuity
· continuity
· continuity
· continuity
intro x hx
norm_num [hx, mul_assoc]
#align path.homotopy.continuous_refl_trans_symm_aux Path.Homotopy.continuous_reflTransSymmAux
theorem reflTransSymmAux_mem_I (x : I × I) : reflTransSymmAux x ∈ I := by
dsimp only [reflTransSymmAux]
split_ifs
· constructor
· apply mul_nonneg
· apply mul_nonneg
· unit_interval
· norm_num
· unit_interval
· rw [mul_assoc]
apply mul_le_one
· unit_interval
· apply mul_nonneg
· norm_num
· unit_interval
· linarith
· constructor
· apply mul_nonneg
· unit_interval
linarith [unitInterval.nonneg x.2, unitInterval.le_one x.2]
· apply mul_le_one
· unit_interval
· linarith [unitInterval.nonneg x.2, unitInterval.le_one x.2]
· linarith [unitInterval.nonneg x.2, unitInterval.le_one x.2]
set_option linter.uppercaseLean3 false in
#align path.homotopy.refl_trans_symm_aux_mem_I Path.Homotopy.reflTransSymmAux_mem_I
def reflTransSymm (p : Path x₀ x₁) : Homotopy (Path.refl x₀) (p.trans p.symm) where
toFun x := p ⟨reflTransSymmAux x, reflTransSymmAux_mem_I x⟩
continuous_toFun := by continuity
map_zero_left := by simp [reflTransSymmAux]
map_one_left x := by
dsimp only [reflTransSymmAux, Path.coe_toContinuousMap, Path.trans]
change _ = ite _ _ _
split_ifs with h
· rw [Path.extend, Set.IccExtend_of_mem]
· norm_num
· rw [unitInterval.mul_pos_mem_iff zero_lt_two]
exact ⟨unitInterval.nonneg x, h⟩
· rw [Path.symm, Path.extend, Set.IccExtend_of_mem]
· simp only [Set.Icc.coe_one, one_mul, coe_mk_mk, Function.comp_apply]
congr 1
ext
norm_num [sub_sub_eq_add_sub]
· rw [unitInterval.two_mul_sub_one_mem_iff]
exact ⟨(not_le.1 h).le, unitInterval.le_one x⟩
prop' t x hx := by
simp only [Set.mem_singleton_iff, Set.mem_insert_iff] at hx
simp only [ContinuousMap.coe_mk, coe_toContinuousMap, Path.refl_apply]
cases hx with
| inl hx
| inr hx =>
set_option tactic.skipAssignedInstances false in
rw [hx]
norm_num [reflTransSymmAux]
#align path.homotopy.refl_trans_symm Path.Homotopy.reflTransSymm
def reflSymmTrans (p : Path x₀ x₁) : Homotopy (Path.refl x₁) (p.symm.trans p) :=
(reflTransSymm p.symm).cast rfl <| congr_arg _ (Path.symm_symm _)
#align path.homotopy.refl_symm_trans Path.Homotopy.reflSymmTrans
end
section Assoc
def transAssocReparamAux (t : I) : ℝ :=
if (t : ℝ) ≤ 1 / 4 then 2 * t else if (t : ℝ) ≤ 1 / 2 then t + 1 / 4 else 1 / 2 * (t + 1)
#align path.homotopy.trans_assoc_reparam_aux Path.Homotopy.transAssocReparamAux
@[continuity]
theorem continuous_transAssocReparamAux : Continuous transAssocReparamAux := by
refine continuous_if_le ?_ ?_ (Continuous.continuousOn ?_)
(continuous_if_le ?_ ?_
(Continuous.continuousOn ?_) (Continuous.continuousOn ?_) ?_).continuousOn
?_ <;>
[continuity; continuity; continuity; continuity; continuity; continuity; continuity; skip;
skip] <;>
· intro x hx
set_option tactic.skipAssignedInstances false in norm_num [hx]
#align path.homotopy.continuous_trans_assoc_reparam_aux Path.Homotopy.continuous_transAssocReparamAux
| Mathlib/AlgebraicTopology/FundamentalGroupoid/Basic.lean | 200 | 202 | theorem transAssocReparamAux_mem_I (t : I) : transAssocReparamAux t ∈ I := by |
unfold transAssocReparamAux
split_ifs <;> constructor <;> linarith [unitInterval.le_one t, unitInterval.nonneg t]
|
import Mathlib.Order.Interval.Finset.Nat
import Mathlib.Data.PNat.Defs
#align_import data.pnat.interval from "leanprover-community/mathlib"@"1d29de43a5ba4662dd33b5cfeecfc2a27a5a8a29"
open Finset Function PNat
namespace PNat
variable (a b : ℕ+)
instance instLocallyFiniteOrder : LocallyFiniteOrder ℕ+ := Subtype.instLocallyFiniteOrder _
theorem Icc_eq_finset_subtype : Icc a b = (Icc (a : ℕ) b).subtype fun n : ℕ => 0 < n :=
rfl
#align pnat.Icc_eq_finset_subtype PNat.Icc_eq_finset_subtype
theorem Ico_eq_finset_subtype : Ico a b = (Ico (a : ℕ) b).subtype fun n : ℕ => 0 < n :=
rfl
#align pnat.Ico_eq_finset_subtype PNat.Ico_eq_finset_subtype
theorem Ioc_eq_finset_subtype : Ioc a b = (Ioc (a : ℕ) b).subtype fun n : ℕ => 0 < n :=
rfl
#align pnat.Ioc_eq_finset_subtype PNat.Ioc_eq_finset_subtype
theorem Ioo_eq_finset_subtype : Ioo a b = (Ioo (a : ℕ) b).subtype fun n : ℕ => 0 < n :=
rfl
#align pnat.Ioo_eq_finset_subtype PNat.Ioo_eq_finset_subtype
theorem uIcc_eq_finset_subtype : uIcc a b = (uIcc (a : ℕ) b).subtype fun n : ℕ => 0 < n := rfl
#align pnat.uIcc_eq_finset_subtype PNat.uIcc_eq_finset_subtype
theorem map_subtype_embedding_Icc : (Icc a b).map (Embedding.subtype _) = Icc ↑a ↑b :=
Finset.map_subtype_embedding_Icc _ _ _ fun _c _ _x hx _ hc _ => hc.trans_le hx
#align pnat.map_subtype_embedding_Icc PNat.map_subtype_embedding_Icc
theorem map_subtype_embedding_Ico : (Ico a b).map (Embedding.subtype _) = Ico ↑a ↑b :=
Finset.map_subtype_embedding_Ico _ _ _ fun _c _ _x hx _ hc _ => hc.trans_le hx
#align pnat.map_subtype_embedding_Ico PNat.map_subtype_embedding_Ico
theorem map_subtype_embedding_Ioc : (Ioc a b).map (Embedding.subtype _) = Ioc ↑a ↑b :=
Finset.map_subtype_embedding_Ioc _ _ _ fun _c _ _x hx _ hc _ => hc.trans_le hx
#align pnat.map_subtype_embedding_Ioc PNat.map_subtype_embedding_Ioc
theorem map_subtype_embedding_Ioo : (Ioo a b).map (Embedding.subtype _) = Ioo ↑a ↑b :=
Finset.map_subtype_embedding_Ioo _ _ _ fun _c _ _x hx _ hc _ => hc.trans_le hx
#align pnat.map_subtype_embedding_Ioo PNat.map_subtype_embedding_Ioo
theorem map_subtype_embedding_uIcc : (uIcc a b).map (Embedding.subtype _) = uIcc ↑a ↑b :=
map_subtype_embedding_Icc _ _
#align pnat.map_subtype_embedding_uIcc PNat.map_subtype_embedding_uIcc
@[simp]
theorem card_Icc : (Icc a b).card = b + 1 - a := by
rw [← Nat.card_Icc]
-- Porting note: I had to change this to `erw` *and* provide the proof, yuck.
-- https://github.com/leanprover-community/mathlib4/issues/5164
erw [← Finset.map_subtype_embedding_Icc _ a b (fun c x _ hx _ hc _ => hc.trans_le hx)]
rw [card_map]
#align pnat.card_Icc PNat.card_Icc
@[simp]
theorem card_Ico : (Ico a b).card = b - a := by
rw [← Nat.card_Ico]
-- Porting note: I had to change this to `erw` *and* provide the proof, yuck.
-- https://github.com/leanprover-community/mathlib4/issues/5164
erw [← Finset.map_subtype_embedding_Ico _ a b (fun c x _ hx _ hc _ => hc.trans_le hx)]
rw [card_map]
#align pnat.card_Ico PNat.card_Ico
@[simp]
theorem card_Ioc : (Ioc a b).card = b - a := by
rw [← Nat.card_Ioc]
-- Porting note: I had to change this to `erw` *and* provide the proof, yuck.
-- https://github.com/leanprover-community/mathlib4/issues/5164
erw [← Finset.map_subtype_embedding_Ioc _ a b (fun c x _ hx _ hc _ => hc.trans_le hx)]
rw [card_map]
#align pnat.card_Ioc PNat.card_Ioc
@[simp]
theorem card_Ioo : (Ioo a b).card = b - a - 1 := by
rw [← Nat.card_Ioo]
-- Porting note: I had to change this to `erw` *and* provide the proof, yuck.
-- https://github.com/leanprover-community/mathlib4/issues/5164
erw [← Finset.map_subtype_embedding_Ioo _ a b (fun c x _ hx _ hc _ => hc.trans_le hx)]
rw [card_map]
#align pnat.card_Ioo PNat.card_Ioo
@[simp]
theorem card_uIcc : (uIcc a b).card = (b - a : ℤ).natAbs + 1 := by
rw [← Nat.card_uIcc, ← map_subtype_embedding_uIcc, card_map]
#align pnat.card_uIcc PNat.card_uIcc
-- Porting note: `simpNF` says `simp` can prove this
theorem card_fintype_Icc : Fintype.card (Set.Icc a b) = b + 1 - a := by
rw [← card_Icc, Fintype.card_ofFinset]
#align pnat.card_fintype_Icc PNat.card_fintype_Icc
-- Porting note: `simpNF` says `simp` can prove this
| Mathlib/Data/PNat/Interval.lean | 113 | 114 | theorem card_fintype_Ico : Fintype.card (Set.Ico a b) = b - a := by |
rw [← card_Ico, Fintype.card_ofFinset]
|
import Mathlib.FieldTheory.Separable
import Mathlib.RingTheory.IntegralDomain
import Mathlib.Algebra.CharP.Reduced
import Mathlib.Tactic.ApplyFun
#align_import field_theory.finite.basic from "leanprover-community/mathlib"@"12a85fac627bea918960da036049d611b1a3ee43"
variable {K : Type*} {R : Type*}
local notation "q" => Fintype.card K
open Finset
open scoped Polynomial
namespace FiniteField
theorem prod_univ_units_id_eq_neg_one [CommRing K] [IsDomain K] [Fintype Kˣ] :
∏ x : Kˣ, x = (-1 : Kˣ) := by
classical
have : (∏ x ∈ (@univ Kˣ _).erase (-1), x) = 1 :=
prod_involution (fun x _ => x⁻¹) (by simp)
(fun a => by simp (config := { contextual := true }) [Units.inv_eq_self_iff])
(fun a => by simp [@inv_eq_iff_eq_inv _ _ a]) (by simp)
rw [← insert_erase (mem_univ (-1 : Kˣ)), prod_insert (not_mem_erase _ _), this, mul_one]
#align finite_field.prod_univ_units_id_eq_neg_one FiniteField.prod_univ_units_id_eq_neg_one
set_option backward.synthInstance.canonInstances false in -- See https://github.com/leanprover-community/mathlib4/issues/12532
theorem card_cast_subgroup_card_ne_zero [Ring K] [NoZeroDivisors K] [Nontrivial K]
(G : Subgroup Kˣ) [Fintype G] : (Fintype.card G : K) ≠ 0 := by
let n := Fintype.card G
intro nzero
have ⟨p, char_p⟩ := CharP.exists K
have hd : p ∣ n := (CharP.cast_eq_zero_iff K p n).mp nzero
cases CharP.char_is_prime_or_zero K p with
| inr pzero =>
exact (Fintype.card_pos).ne' <| Nat.eq_zero_of_zero_dvd <| pzero ▸ hd
| inl pprime =>
have fact_pprime := Fact.mk pprime
-- G has an element x of order p by Cauchy's theorem
have ⟨x, hx⟩ := exists_prime_orderOf_dvd_card p hd
-- F has an element u (= ↑↑x) of order p
let u := ((x : Kˣ) : K)
have hu : orderOf u = p := by rwa [orderOf_units, Subgroup.orderOf_coe]
-- u ^ p = 1 implies (u - 1) ^ p = 0 and hence u = 1 ...
have h : u = 1 := by
rw [← sub_left_inj, sub_self 1]
apply pow_eq_zero (n := p)
rw [sub_pow_char_of_commute, one_pow, ← hu, pow_orderOf_eq_one, sub_self]
exact Commute.one_right u
-- ... meaning x didn't have order p after all, contradiction
apply pprime.one_lt.ne
rw [← hu, h, orderOf_one]
theorem sum_subgroup_units_eq_zero [Ring K] [NoZeroDivisors K]
{G : Subgroup Kˣ} [Fintype G] (hg : G ≠ ⊥) :
∑ x : G, (x.val : K) = 0 := by
rw [Subgroup.ne_bot_iff_exists_ne_one] at hg
rcases hg with ⟨a, ha⟩
-- The action of a on G as an embedding
let a_mul_emb : G ↪ G := mulLeftEmbedding a
-- ... and leaves G unchanged
have h_unchanged : Finset.univ.map a_mul_emb = Finset.univ := by simp
-- Therefore the sum of x over a G is the sum of a x over G
have h_sum_map := Finset.univ.sum_map a_mul_emb fun x => ((x : Kˣ) : K)
-- ... and the former is the sum of x over G.
-- By algebraic manipulation, we have Σ G, x = ∑ G, a x = a ∑ G, x
simp only [a_mul_emb, h_unchanged, Function.Embedding.coeFn_mk, Function.Embedding.toFun_eq_coe,
mulLeftEmbedding_apply, Submonoid.coe_mul, Subgroup.coe_toSubmonoid, Units.val_mul,
← Finset.mul_sum] at h_sum_map
-- thus one of (a - 1) or ∑ G, x is zero
have hzero : (((a : Kˣ) : K) - 1) = 0 ∨ ∑ x : ↥G, ((x : Kˣ) : K) = 0 := by
rw [← mul_eq_zero, sub_mul, ← h_sum_map, one_mul, sub_self]
apply Or.resolve_left hzero
contrapose! ha
ext
rwa [← sub_eq_zero]
@[simp]
theorem sum_subgroup_units [Ring K] [NoZeroDivisors K]
{G : Subgroup Kˣ} [Fintype G] [Decidable (G = ⊥)] :
∑ x : G, (x.val : K) = if G = ⊥ then 1 else 0 := by
by_cases G_bot : G = ⊥
· subst G_bot
simp only [ite_true, Subgroup.mem_bot, Fintype.card_ofSubsingleton, Nat.cast_ite, Nat.cast_one,
Nat.cast_zero, univ_unique, Set.default_coe_singleton, sum_singleton, Units.val_one]
· simp only [G_bot, ite_false]
exact sum_subgroup_units_eq_zero G_bot
@[simp]
theorem sum_subgroup_pow_eq_zero [CommRing K] [NoZeroDivisors K]
{G : Subgroup Kˣ} [Fintype G] {k : ℕ} (k_pos : k ≠ 0) (k_lt_card_G : k < Fintype.card G) :
∑ x : G, ((x : Kˣ) : K) ^ k = 0 := by
nontriviality K
have := NoZeroDivisors.to_isDomain K
rcases (exists_pow_ne_one_of_isCyclic k_pos k_lt_card_G) with ⟨a, ha⟩
rw [Finset.sum_eq_multiset_sum]
have h_multiset_map :
Finset.univ.val.map (fun x : G => ((x : Kˣ) : K) ^ k) =
Finset.univ.val.map (fun x : G => ((x : Kˣ) : K) ^ k * ((a : Kˣ) : K) ^ k) := by
simp_rw [← mul_pow]
have as_comp :
(fun x : ↥G => (((x : Kˣ) : K) * ((a : Kˣ) : K)) ^ k)
= (fun x : ↥G => ((x : Kˣ) : K) ^ k) ∘ fun x : ↥G => x * a := by
funext x
simp only [Function.comp_apply, Submonoid.coe_mul, Subgroup.coe_toSubmonoid, Units.val_mul]
rw [as_comp, ← Multiset.map_map]
congr
rw [eq_comm]
exact Multiset.map_univ_val_equiv (Equiv.mulRight a)
have h_multiset_map_sum : (Multiset.map (fun x : G => ((x : Kˣ) : K) ^ k) Finset.univ.val).sum =
(Multiset.map (fun x : G => ((x : Kˣ) : K) ^ k * ((a : Kˣ) : K) ^ k) Finset.univ.val).sum := by
rw [h_multiset_map]
rw [Multiset.sum_map_mul_right] at h_multiset_map_sum
have hzero : (((a : Kˣ) : K) ^ k - 1 : K)
* (Multiset.map (fun i : G => (i.val : K) ^ k) Finset.univ.val).sum = 0 := by
rw [sub_mul, mul_comm, ← h_multiset_map_sum, one_mul, sub_self]
rw [mul_eq_zero] at hzero
refine hzero.resolve_left fun h => ha ?_
ext
rw [← sub_eq_zero]
simp_rw [SubmonoidClass.coe_pow, Units.val_pow_eq_pow_val, OneMemClass.coe_one, Units.val_one, h]
section
variable [GroupWithZero K] [Fintype K]
theorem pow_card_sub_one_eq_one (a : K) (ha : a ≠ 0) : a ^ (q - 1) = 1 := by
calc
a ^ (Fintype.card K - 1) = (Units.mk0 a ha ^ (Fintype.card K - 1) : Kˣ).1 := by
rw [Units.val_pow_eq_pow_val, Units.val_mk0]
_ = 1 := by
classical
rw [← Fintype.card_units, pow_card_eq_one]
rfl
#align finite_field.pow_card_sub_one_eq_one FiniteField.pow_card_sub_one_eq_one
theorem pow_card (a : K) : a ^ q = a := by
by_cases h : a = 0; · rw [h]; apply zero_pow Fintype.card_ne_zero
rw [← Nat.succ_pred_eq_of_pos Fintype.card_pos, pow_succ, Nat.pred_eq_sub_one,
pow_card_sub_one_eq_one a h, one_mul]
#align finite_field.pow_card FiniteField.pow_card
theorem pow_card_pow (n : ℕ) (a : K) : a ^ q ^ n = a := by
induction' n with n ih
· simp
· simp [pow_succ, pow_mul, ih, pow_card]
#align finite_field.pow_card_pow FiniteField.pow_card_pow
end
variable (K) [Field K] [Fintype K]
theorem card (p : ℕ) [CharP K p] : ∃ n : ℕ+, Nat.Prime p ∧ q = p ^ (n : ℕ) := by
haveI hp : Fact p.Prime := ⟨CharP.char_is_prime K p⟩
letI : Module (ZMod p) K := { (ZMod.castHom dvd_rfl K : ZMod p →+* _).toModule with }
obtain ⟨n, h⟩ := VectorSpace.card_fintype (ZMod p) K
rw [ZMod.card] at h
refine ⟨⟨n, ?_⟩, hp.1, h⟩
apply Or.resolve_left (Nat.eq_zero_or_pos n)
rintro rfl
rw [pow_zero] at h
have : (0 : K) = 1 := by apply Fintype.card_le_one_iff.mp (le_of_eq h)
exact absurd this zero_ne_one
#align finite_field.card FiniteField.card
-- this statement doesn't use `q` because we want `K` to be an explicit parameter
theorem card' : ∃ (p : ℕ) (n : ℕ+), Nat.Prime p ∧ Fintype.card K = p ^ (n : ℕ) :=
let ⟨p, hc⟩ := CharP.exists K
⟨p, @FiniteField.card K _ _ p hc⟩
#align finite_field.card' FiniteField.card'
-- Porting note: this was a `simp` lemma with a 5 lines proof.
theorem cast_card_eq_zero : (q : K) = 0 := by
simp
#align finite_field.cast_card_eq_zero FiniteField.cast_card_eq_zero
theorem forall_pow_eq_one_iff (i : ℕ) : (∀ x : Kˣ, x ^ i = 1) ↔ q - 1 ∣ i := by
classical
obtain ⟨x, hx⟩ := IsCyclic.exists_generator (α := Kˣ)
rw [← Fintype.card_units, ← orderOf_eq_card_of_forall_mem_zpowers hx,
orderOf_dvd_iff_pow_eq_one]
constructor
· intro h; apply h
· intro h y
simp_rw [← mem_powers_iff_mem_zpowers] at hx
rcases hx y with ⟨j, rfl⟩
rw [← pow_mul, mul_comm, pow_mul, h, one_pow]
#align finite_field.forall_pow_eq_one_iff FiniteField.forall_pow_eq_one_iff
theorem sum_pow_units [DecidableEq K] (i : ℕ) :
(∑ x : Kˣ, (x ^ i : K)) = if q - 1 ∣ i then -1 else 0 := by
let φ : Kˣ →* K :=
{ toFun := fun x => x ^ i
map_one' := by simp
map_mul' := by intros; simp [mul_pow] }
have : Decidable (φ = 1) := by classical infer_instance
calc (∑ x : Kˣ, φ x) = if φ = 1 then Fintype.card Kˣ else 0 := sum_hom_units φ
_ = if q - 1 ∣ i then -1 else 0 := by
suffices q - 1 ∣ i ↔ φ = 1 by
simp only [this]
split_ifs; swap
· exact Nat.cast_zero
· rw [Fintype.card_units, Nat.cast_sub,
cast_card_eq_zero, Nat.cast_one, zero_sub]
show 1 ≤ q; exact Fintype.card_pos_iff.mpr ⟨0⟩
rw [← forall_pow_eq_one_iff, DFunLike.ext_iff]
apply forall_congr'; intro x; simp [φ, Units.ext_iff]
#align finite_field.sum_pow_units FiniteField.sum_pow_units
theorem sum_pow_lt_card_sub_one (i : ℕ) (h : i < q - 1) : ∑ x : K, x ^ i = 0 := by
by_cases hi : i = 0
· simp only [hi, nsmul_one, sum_const, pow_zero, card_univ, cast_card_eq_zero]
classical
have hiq : ¬q - 1 ∣ i := by contrapose! h; exact Nat.le_of_dvd (Nat.pos_of_ne_zero hi) h
let φ : Kˣ ↪ K := ⟨fun x ↦ x, Units.ext⟩
have : univ.map φ = univ \ {0} := by
ext x
simpa only [mem_map, mem_univ, Function.Embedding.coeFn_mk, true_and_iff, mem_sdiff,
mem_singleton, φ] using isUnit_iff_ne_zero
calc
∑ x : K, x ^ i = ∑ x ∈ univ \ {(0 : K)}, x ^ i := by
rw [← sum_sdiff ({0} : Finset K).subset_univ, sum_singleton, zero_pow hi, add_zero]
_ = ∑ x : Kˣ, (x ^ i : K) := by simp [φ, ← this, univ.sum_map φ]
_ = 0 := by rw [sum_pow_units K i, if_neg]; exact hiq
#align finite_field.sum_pow_lt_card_sub_one FiniteField.sum_pow_lt_card_sub_one
open Polynomial
section
variable (K' : Type*) [Field K'] {p n : ℕ}
| Mathlib/FieldTheory/Finite/Basic.lean | 326 | 330 | theorem X_pow_card_sub_X_natDegree_eq (hp : 1 < p) : (X ^ p - X : K'[X]).natDegree = p := by |
have h1 : (X : K'[X]).degree < (X ^ p : K'[X]).degree := by
rw [degree_X_pow, degree_X]
exact mod_cast hp
rw [natDegree_eq_of_degree_eq (degree_sub_eq_left_of_degree_lt h1), natDegree_X_pow]
|
import Mathlib.Probability.Variance
#align_import probability.moments from "leanprover-community/mathlib"@"85453a2a14be8da64caf15ca50930cf4c6e5d8de"
open MeasureTheory Filter Finset Real
noncomputable section
open scoped MeasureTheory ProbabilityTheory ENNReal NNReal
namespace ProbabilityTheory
variable {Ω ι : Type*} {m : MeasurableSpace Ω} {X : Ω → ℝ} {p : ℕ} {μ : Measure Ω}
def moment (X : Ω → ℝ) (p : ℕ) (μ : Measure Ω) : ℝ :=
μ[X ^ p]
#align probability_theory.moment ProbabilityTheory.moment
def centralMoment (X : Ω → ℝ) (p : ℕ) (μ : Measure Ω) : ℝ := by
have m := fun (x : Ω) => μ[X] -- Porting note: Lean deems `μ[(X - fun x => μ[X]) ^ p]` ambiguous
exact μ[(X - m) ^ p]
#align probability_theory.central_moment ProbabilityTheory.centralMoment
@[simp]
theorem moment_zero (hp : p ≠ 0) : moment 0 p μ = 0 := by
simp only [moment, hp, zero_pow, Ne, not_false_iff, Pi.zero_apply, integral_const,
smul_eq_mul, mul_zero, integral_zero]
#align probability_theory.moment_zero ProbabilityTheory.moment_zero
@[simp]
theorem centralMoment_zero (hp : p ≠ 0) : centralMoment 0 p μ = 0 := by
simp only [centralMoment, hp, Pi.zero_apply, integral_const, smul_eq_mul,
mul_zero, zero_sub, Pi.pow_apply, Pi.neg_apply, neg_zero, zero_pow, Ne, not_false_iff]
#align probability_theory.central_moment_zero ProbabilityTheory.centralMoment_zero
theorem centralMoment_one' [IsFiniteMeasure μ] (h_int : Integrable X μ) :
centralMoment X 1 μ = (1 - (μ Set.univ).toReal) * μ[X] := by
simp only [centralMoment, Pi.sub_apply, pow_one]
rw [integral_sub h_int (integrable_const _)]
simp only [sub_mul, integral_const, smul_eq_mul, one_mul]
#align probability_theory.central_moment_one' ProbabilityTheory.centralMoment_one'
@[simp]
theorem centralMoment_one [IsProbabilityMeasure μ] : centralMoment X 1 μ = 0 := by
by_cases h_int : Integrable X μ
· rw [centralMoment_one' h_int]
simp only [measure_univ, ENNReal.one_toReal, sub_self, zero_mul]
· simp only [centralMoment, Pi.sub_apply, pow_one]
have : ¬Integrable (fun x => X x - integral μ X) μ := by
refine fun h_sub => h_int ?_
have h_add : X = (fun x => X x - integral μ X) + fun _ => integral μ X := by ext1 x; simp
rw [h_add]
exact h_sub.add (integrable_const _)
rw [integral_undef this]
#align probability_theory.central_moment_one ProbabilityTheory.centralMoment_one
theorem centralMoment_two_eq_variance [IsFiniteMeasure μ] (hX : Memℒp X 2 μ) :
centralMoment X 2 μ = variance X μ := by rw [hX.variance_eq]; rfl
#align probability_theory.central_moment_two_eq_variance ProbabilityTheory.centralMoment_two_eq_variance
section MomentGeneratingFunction
variable {t : ℝ}
def mgf (X : Ω → ℝ) (μ : Measure Ω) (t : ℝ) : ℝ :=
μ[fun ω => exp (t * X ω)]
#align probability_theory.mgf ProbabilityTheory.mgf
def cgf (X : Ω → ℝ) (μ : Measure Ω) (t : ℝ) : ℝ :=
log (mgf X μ t)
#align probability_theory.cgf ProbabilityTheory.cgf
@[simp]
| Mathlib/Probability/Moments.lean | 113 | 114 | theorem mgf_zero_fun : mgf 0 μ t = (μ Set.univ).toReal := by |
simp only [mgf, Pi.zero_apply, mul_zero, exp_zero, integral_const, smul_eq_mul, mul_one]
|
import Mathlib.Algebra.Polynomial.AlgebraMap
import Mathlib.Algebra.Polynomial.BigOperators
import Mathlib.Algebra.Polynomial.Degree.Lemmas
import Mathlib.Algebra.Polynomial.Div
#align_import data.polynomial.ring_division from "leanprover-community/mathlib"@"8efcf8022aac8e01df8d302dcebdbc25d6a886c8"
noncomputable section
open Polynomial
open Finset
namespace Polynomial
universe u v w z
variable {R : Type u} {S : Type v} {T : Type w} {a b : R} {n : ℕ}
section CommRing
variable [CommRing R]
| Mathlib/Algebra/Polynomial/RingDivision.lean | 427 | 436 | theorem le_rootMultiplicity_iff {p : R[X]} (p0 : p ≠ 0) {a : R} {n : ℕ} :
n ≤ rootMultiplicity a p ↔ (X - C a) ^ n ∣ p := by |
classical
rw [rootMultiplicity_eq_nat_find_of_nonzero p0, @Nat.le_find_iff _ (_)]
simp_rw [Classical.not_not]
refine ⟨fun h => ?_, fun h m hm => (pow_dvd_pow _ hm).trans h⟩
cases' n with n;
· rw [pow_zero]
apply one_dvd;
· exact h n n.lt_succ_self
|
import Mathlib.CategoryTheory.CommSq
#align_import category_theory.lifting_properties.basic from "leanprover-community/mathlib"@"32253a1a1071173b33dc7d6a218cf722c6feb514"
universe v
namespace CategoryTheory
open Category
variable {C : Type*} [Category C] {A B B' X Y Y' : C} (i : A ⟶ B) (i' : B ⟶ B') (p : X ⟶ Y)
(p' : Y ⟶ Y')
class HasLiftingProperty : Prop where
sq_hasLift : ∀ {f : A ⟶ X} {g : B ⟶ Y} (sq : CommSq f i p g), sq.HasLift
#align category_theory.has_lifting_property CategoryTheory.HasLiftingProperty
#align category_theory.has_lifting_property.sq_has_lift CategoryTheory.HasLiftingProperty.sq_hasLift
instance (priority := 100) sq_hasLift_of_hasLiftingProperty {f : A ⟶ X} {g : B ⟶ Y}
(sq : CommSq f i p g) [hip : HasLiftingProperty i p] : sq.HasLift := by apply hip.sq_hasLift
#align category_theory.sq_has_lift_of_has_lifting_property CategoryTheory.sq_hasLift_of_hasLiftingProperty
namespace HasLiftingProperty
variable {i p}
theorem op (h : HasLiftingProperty i p) : HasLiftingProperty p.op i.op :=
⟨fun {f} {g} sq => by
simp only [CommSq.HasLift.iff_unop, Quiver.Hom.unop_op]
infer_instance⟩
#align category_theory.has_lifting_property.op CategoryTheory.HasLiftingProperty.op
theorem unop {A B X Y : Cᵒᵖ} {i : A ⟶ B} {p : X ⟶ Y} (h : HasLiftingProperty i p) :
HasLiftingProperty p.unop i.unop :=
⟨fun {f} {g} sq => by
rw [CommSq.HasLift.iff_op]
simp only [Quiver.Hom.op_unop]
infer_instance⟩
#align category_theory.has_lifting_property.unop CategoryTheory.HasLiftingProperty.unop
theorem iff_op : HasLiftingProperty i p ↔ HasLiftingProperty p.op i.op :=
⟨op, unop⟩
#align category_theory.has_lifting_property.iff_op CategoryTheory.HasLiftingProperty.iff_op
theorem iff_unop {A B X Y : Cᵒᵖ} (i : A ⟶ B) (p : X ⟶ Y) :
HasLiftingProperty i p ↔ HasLiftingProperty p.unop i.unop :=
⟨unop, op⟩
#align category_theory.has_lifting_property.iff_unop CategoryTheory.HasLiftingProperty.iff_unop
variable (i p)
instance (priority := 100) of_left_iso [IsIso i] : HasLiftingProperty i p :=
⟨fun {f} {g} sq =>
CommSq.HasLift.mk'
{ l := inv i ≫ f
fac_left := by simp only [IsIso.hom_inv_id_assoc]
fac_right := by simp only [sq.w, assoc, IsIso.inv_hom_id_assoc] }⟩
#align category_theory.has_lifting_property.of_left_iso CategoryTheory.HasLiftingProperty.of_left_iso
instance (priority := 100) of_right_iso [IsIso p] : HasLiftingProperty i p :=
⟨fun {f} {g} sq =>
CommSq.HasLift.mk'
{ l := g ≫ inv p
fac_left := by simp only [← sq.w_assoc, IsIso.hom_inv_id, comp_id]
fac_right := by simp only [assoc, IsIso.inv_hom_id, comp_id] }⟩
#align category_theory.has_lifting_property.of_right_iso CategoryTheory.HasLiftingProperty.of_right_iso
instance of_comp_left [HasLiftingProperty i p] [HasLiftingProperty i' p] :
HasLiftingProperty (i ≫ i') p :=
⟨fun {f} {g} sq => by
have fac := sq.w
rw [assoc] at fac
exact
CommSq.HasLift.mk'
{ l := (CommSq.mk (CommSq.mk fac).fac_right).lift
fac_left := by simp only [assoc, CommSq.fac_left]
fac_right := by simp only [CommSq.fac_right] }⟩
#align category_theory.has_lifting_property.of_comp_left CategoryTheory.HasLiftingProperty.of_comp_left
instance of_comp_right [HasLiftingProperty i p] [HasLiftingProperty i p'] :
HasLiftingProperty i (p ≫ p') :=
⟨fun {f} {g} sq => by
have fac := sq.w
rw [← assoc] at fac
let _ := (CommSq.mk (CommSq.mk fac).fac_left.symm).lift
exact
CommSq.HasLift.mk'
{ l := (CommSq.mk (CommSq.mk fac).fac_left.symm).lift
fac_left := by simp only [CommSq.fac_left]
fac_right := by simp only [CommSq.fac_right_assoc, CommSq.fac_right] }⟩
#align category_theory.has_lifting_property.of_comp_right CategoryTheory.HasLiftingProperty.of_comp_right
theorem of_arrow_iso_left {A B A' B' X Y : C} {i : A ⟶ B} {i' : A' ⟶ B'}
(e : Arrow.mk i ≅ Arrow.mk i') (p : X ⟶ Y) [hip : HasLiftingProperty i p] :
HasLiftingProperty i' p := by
rw [Arrow.iso_w' e]
infer_instance
#align category_theory.has_lifting_property.of_arrow_iso_left CategoryTheory.HasLiftingProperty.of_arrow_iso_left
theorem of_arrow_iso_right {A B X Y X' Y' : C} (i : A ⟶ B) {p : X ⟶ Y} {p' : X' ⟶ Y'}
(e : Arrow.mk p ≅ Arrow.mk p') [hip : HasLiftingProperty i p] : HasLiftingProperty i p' := by
rw [Arrow.iso_w' e]
infer_instance
#align category_theory.has_lifting_property.of_arrow_iso_right CategoryTheory.HasLiftingProperty.of_arrow_iso_right
theorem iff_of_arrow_iso_left {A B A' B' X Y : C} {i : A ⟶ B} {i' : A' ⟶ B'}
(e : Arrow.mk i ≅ Arrow.mk i') (p : X ⟶ Y) :
HasLiftingProperty i p ↔ HasLiftingProperty i' p := by
constructor <;> intro
exacts [of_arrow_iso_left e p, of_arrow_iso_left e.symm p]
#align category_theory.has_lifting_property.iff_of_arrow_iso_left CategoryTheory.HasLiftingProperty.iff_of_arrow_iso_left
| Mathlib/CategoryTheory/LiftingProperties/Basic.lean | 141 | 144 | theorem iff_of_arrow_iso_right {A B X Y X' Y' : C} (i : A ⟶ B) {p : X ⟶ Y} {p' : X' ⟶ Y'}
(e : Arrow.mk p ≅ Arrow.mk p') : HasLiftingProperty i p ↔ HasLiftingProperty i p' := by |
constructor <;> intro
exacts [of_arrow_iso_right i e, of_arrow_iso_right i e.symm]
|
import Mathlib.Topology.MetricSpace.ProperSpace
import Mathlib.Topology.MetricSpace.Cauchy
open Set Filter Bornology
open scoped ENNReal Uniformity Topology Pointwise
universe u v w
variable {α : Type u} {β : Type v} {X ι : Type*}
variable [PseudoMetricSpace α]
namespace Metric
#align metric.bounded Bornology.IsBounded
section Bounded
variable {x : α} {s t : Set α} {r : ℝ}
#noalign metric.bounded_iff_is_bounded
#align metric.bounded_empty Bornology.isBounded_empty
#align metric.bounded_iff_mem_bounded Bornology.isBounded_iff_forall_mem
#align metric.bounded.mono Bornology.IsBounded.subset
theorem isBounded_closedBall : IsBounded (closedBall x r) :=
isBounded_iff.2 ⟨r + r, fun y hy z hz =>
calc dist y z ≤ dist y x + dist z x := dist_triangle_right _ _ _
_ ≤ r + r := add_le_add hy hz⟩
#align metric.bounded_closed_ball Metric.isBounded_closedBall
theorem isBounded_ball : IsBounded (ball x r) :=
isBounded_closedBall.subset ball_subset_closedBall
#align metric.bounded_ball Metric.isBounded_ball
theorem isBounded_sphere : IsBounded (sphere x r) :=
isBounded_closedBall.subset sphere_subset_closedBall
#align metric.bounded_sphere Metric.isBounded_sphere
theorem isBounded_iff_subset_closedBall (c : α) : IsBounded s ↔ ∃ r, s ⊆ closedBall c r :=
⟨fun h ↦ (isBounded_iff.1 (h.insert c)).imp fun _r hr _x hx ↦ hr (.inr hx) (mem_insert _ _),
fun ⟨_r, hr⟩ ↦ isBounded_closedBall.subset hr⟩
#align metric.bounded_iff_subset_ball Metric.isBounded_iff_subset_closedBall
theorem _root_.Bornology.IsBounded.subset_closedBall (h : IsBounded s) (c : α) :
∃ r, s ⊆ closedBall c r :=
(isBounded_iff_subset_closedBall c).1 h
#align metric.bounded.subset_ball Bornology.IsBounded.subset_closedBall
theorem _root_.Bornology.IsBounded.subset_ball_lt (h : IsBounded s) (a : ℝ) (c : α) :
∃ r, a < r ∧ s ⊆ ball c r :=
let ⟨r, hr⟩ := h.subset_closedBall c
⟨max r a + 1, (le_max_right _ _).trans_lt (lt_add_one _), hr.trans <| closedBall_subset_ball <|
(le_max_left _ _).trans_lt (lt_add_one _)⟩
theorem _root_.Bornology.IsBounded.subset_ball (h : IsBounded s) (c : α) : ∃ r, s ⊆ ball c r :=
(h.subset_ball_lt 0 c).imp fun _ ↦ And.right
theorem isBounded_iff_subset_ball (c : α) : IsBounded s ↔ ∃ r, s ⊆ ball c r :=
⟨(IsBounded.subset_ball · c), fun ⟨_r, hr⟩ ↦ isBounded_ball.subset hr⟩
theorem _root_.Bornology.IsBounded.subset_closedBall_lt (h : IsBounded s) (a : ℝ) (c : α) :
∃ r, a < r ∧ s ⊆ closedBall c r :=
let ⟨r, har, hr⟩ := h.subset_ball_lt a c
⟨r, har, hr.trans ball_subset_closedBall⟩
#align metric.bounded.subset_ball_lt Bornology.IsBounded.subset_closedBall_lt
theorem isBounded_closure_of_isBounded (h : IsBounded s) : IsBounded (closure s) :=
let ⟨C, h⟩ := isBounded_iff.1 h
isBounded_iff.2 ⟨C, fun _a ha _b hb => isClosed_Iic.closure_subset <|
map_mem_closure₂ continuous_dist ha hb h⟩
#align metric.bounded_closure_of_bounded Metric.isBounded_closure_of_isBounded
protected theorem _root_.Bornology.IsBounded.closure (h : IsBounded s) : IsBounded (closure s) :=
isBounded_closure_of_isBounded h
#align metric.bounded.closure Bornology.IsBounded.closure
@[simp]
theorem isBounded_closure_iff : IsBounded (closure s) ↔ IsBounded s :=
⟨fun h => h.subset subset_closure, fun h => h.closure⟩
#align metric.bounded_closure_iff Metric.isBounded_closure_iff
#align metric.bounded_union Bornology.isBounded_union
#align metric.bounded.union Bornology.IsBounded.union
#align metric.bounded_bUnion Bornology.isBounded_biUnion
#align metric.bounded.prod Bornology.IsBounded.prod
theorem hasBasis_cobounded_compl_closedBall (c : α) :
(cobounded α).HasBasis (fun _ ↦ True) (fun r ↦ (closedBall c r)ᶜ) :=
⟨compl_surjective.forall.2 fun _ ↦ (isBounded_iff_subset_closedBall c).trans <| by simp⟩
theorem hasBasis_cobounded_compl_ball (c : α) :
(cobounded α).HasBasis (fun _ ↦ True) (fun r ↦ (ball c r)ᶜ) :=
⟨compl_surjective.forall.2 fun _ ↦ (isBounded_iff_subset_ball c).trans <| by simp⟩
@[simp]
theorem comap_dist_right_atTop (c : α) : comap (dist · c) atTop = cobounded α :=
(atTop_basis.comap _).eq_of_same_basis <| by
simpa only [compl_def, mem_ball, not_lt] using hasBasis_cobounded_compl_ball c
@[simp]
theorem comap_dist_left_atTop (c : α) : comap (dist c) atTop = cobounded α := by
simpa only [dist_comm _ c] using comap_dist_right_atTop c
@[simp]
theorem tendsto_dist_right_atTop_iff (c : α) {f : β → α} {l : Filter β} :
Tendsto (fun x ↦ dist (f x) c) l atTop ↔ Tendsto f l (cobounded α) := by
rw [← comap_dist_right_atTop c, tendsto_comap_iff, Function.comp_def]
@[simp]
theorem tendsto_dist_left_atTop_iff (c : α) {f : β → α} {l : Filter β} :
Tendsto (fun x ↦ dist c (f x)) l atTop ↔ Tendsto f l (cobounded α) := by
simp only [dist_comm c, tendsto_dist_right_atTop_iff]
theorem tendsto_dist_right_cobounded_atTop (c : α) : Tendsto (dist · c) (cobounded α) atTop :=
tendsto_iff_comap.2 (comap_dist_right_atTop c).ge
theorem tendsto_dist_left_cobounded_atTop (c : α) : Tendsto (dist c) (cobounded α) atTop :=
tendsto_iff_comap.2 (comap_dist_left_atTop c).ge
theorem _root_.TotallyBounded.isBounded {s : Set α} (h : TotallyBounded s) : IsBounded s :=
-- We cover the totally bounded set by finitely many balls of radius 1,
-- and then argue that a finite union of bounded sets is bounded
let ⟨_t, fint, subs⟩ := (totallyBounded_iff.mp h) 1 zero_lt_one
((isBounded_biUnion fint).2 fun _ _ => isBounded_ball).subset subs
#align totally_bounded.bounded TotallyBounded.isBounded
theorem _root_.IsCompact.isBounded {s : Set α} (h : IsCompact s) : IsBounded s :=
-- A compact set is totally bounded, thus bounded
h.totallyBounded.isBounded
#align is_compact.bounded IsCompact.isBounded
#align metric.bounded_of_finite Set.Finite.isBounded
#align set.finite.bounded Set.Finite.isBounded
#align metric.bounded_singleton Bornology.isBounded_singleton
theorem cobounded_le_cocompact : cobounded α ≤ cocompact α :=
hasBasis_cocompact.ge_iff.2 fun _s hs ↦ hs.isBounded
#align comap_dist_right_at_top_le_cocompact Metric.cobounded_le_cocompactₓ
#align comap_dist_left_at_top_le_cocompact Metric.cobounded_le_cocompactₓ
theorem isCobounded_iff_closedBall_compl_subset {s : Set α} (c : α) :
IsCobounded s ↔ ∃ (r : ℝ), (Metric.closedBall c r)ᶜ ⊆ s := by
rw [← isBounded_compl_iff, isBounded_iff_subset_closedBall c]
apply exists_congr
intro r
rw [compl_subset_comm]
theorem _root_.Bornology.IsCobounded.closedBall_compl_subset {s : Set α} (hs : IsCobounded s)
(c : α) : ∃ (r : ℝ), (Metric.closedBall c r)ᶜ ⊆ s :=
(isCobounded_iff_closedBall_compl_subset c).mp hs
theorem closedBall_compl_subset_of_mem_cocompact {s : Set α} (hs : s ∈ cocompact α) (c : α) :
∃ (r : ℝ), (Metric.closedBall c r)ᶜ ⊆ s :=
IsCobounded.closedBall_compl_subset (cobounded_le_cocompact hs) c
theorem mem_cocompact_of_closedBall_compl_subset [ProperSpace α] (c : α)
(h : ∃ r, (closedBall c r)ᶜ ⊆ s) : s ∈ cocompact α := by
rcases h with ⟨r, h⟩
rw [Filter.mem_cocompact]
exact ⟨closedBall c r, isCompact_closedBall c r, h⟩
theorem mem_cocompact_iff_closedBall_compl_subset [ProperSpace α] (c : α) :
s ∈ cocompact α ↔ ∃ r, (closedBall c r)ᶜ ⊆ s :=
⟨(closedBall_compl_subset_of_mem_cocompact · _), mem_cocompact_of_closedBall_compl_subset _⟩
theorem isBounded_range_iff {f : β → α} : IsBounded (range f) ↔ ∃ C, ∀ x y, dist (f x) (f y) ≤ C :=
isBounded_iff.trans <| by simp only [forall_mem_range]
#align metric.bounded_range_iff Metric.isBounded_range_iff
theorem isBounded_image_iff {f : β → α} {s : Set β} :
IsBounded (f '' s) ↔ ∃ C, ∀ x ∈ s, ∀ y ∈ s, dist (f x) (f y) ≤ C :=
isBounded_iff.trans <| by simp only [forall_mem_image]
theorem isBounded_range_of_tendsto_cofinite_uniformity {f : β → α}
(hf : Tendsto (Prod.map f f) (.cofinite ×ˢ .cofinite) (𝓤 α)) : IsBounded (range f) := by
rcases (hasBasis_cofinite.prod_self.tendsto_iff uniformity_basis_dist).1 hf 1 zero_lt_one with
⟨s, hsf, hs1⟩
rw [← image_union_image_compl_eq_range]
refine (hsf.image f).isBounded.union (isBounded_image_iff.2 ⟨1, fun x hx y hy ↦ ?_⟩)
exact le_of_lt (hs1 (x, y) ⟨hx, hy⟩)
#align metric.bounded_range_of_tendsto_cofinite_uniformity Metric.isBounded_range_of_tendsto_cofinite_uniformity
theorem isBounded_range_of_cauchy_map_cofinite {f : β → α} (hf : Cauchy (map f cofinite)) :
IsBounded (range f) :=
isBounded_range_of_tendsto_cofinite_uniformity <| (cauchy_map_iff.1 hf).2
#align metric.bounded_range_of_cauchy_map_cofinite Metric.isBounded_range_of_cauchy_map_cofinite
theorem _root_.CauchySeq.isBounded_range {f : ℕ → α} (hf : CauchySeq f) : IsBounded (range f) :=
isBounded_range_of_cauchy_map_cofinite <| by rwa [Nat.cofinite_eq_atTop]
#align cauchy_seq.bounded_range CauchySeq.isBounded_range
theorem isBounded_range_of_tendsto_cofinite {f : β → α} {a : α} (hf : Tendsto f cofinite (𝓝 a)) :
IsBounded (range f) :=
isBounded_range_of_tendsto_cofinite_uniformity <|
(hf.prod_map hf).mono_right <| nhds_prod_eq.symm.trans_le (nhds_le_uniformity a)
#align metric.bounded_range_of_tendsto_cofinite Metric.isBounded_range_of_tendsto_cofinite
theorem isBounded_of_compactSpace [CompactSpace α] : IsBounded s :=
isCompact_univ.isBounded.subset (subset_univ _)
#align metric.bounded_of_compact_space Metric.isBounded_of_compactSpace
theorem isBounded_range_of_tendsto (u : ℕ → α) {x : α} (hu : Tendsto u atTop (𝓝 x)) :
IsBounded (range u) :=
hu.cauchySeq.isBounded_range
#align metric.bounded_range_of_tendsto Metric.isBounded_range_of_tendsto
theorem disjoint_nhds_cobounded (x : α) : Disjoint (𝓝 x) (cobounded α) :=
disjoint_of_disjoint_of_mem disjoint_compl_right (ball_mem_nhds _ one_pos) isBounded_ball
theorem disjoint_cobounded_nhds (x : α) : Disjoint (cobounded α) (𝓝 x) :=
(disjoint_nhds_cobounded x).symm
theorem disjoint_nhdsSet_cobounded {s : Set α} (hs : IsCompact s) : Disjoint (𝓝ˢ s) (cobounded α) :=
hs.disjoint_nhdsSet_left.2 fun _ _ ↦ disjoint_nhds_cobounded _
theorem disjoint_cobounded_nhdsSet {s : Set α} (hs : IsCompact s) : Disjoint (cobounded α) (𝓝ˢ s) :=
(disjoint_nhdsSet_cobounded hs).symm
theorem exists_isBounded_image_of_tendsto {α β : Type*} [PseudoMetricSpace β]
{l : Filter α} {f : α → β} {x : β} (hf : Tendsto f l (𝓝 x)) :
∃ s ∈ l, IsBounded (f '' s) :=
(l.basis_sets.map f).disjoint_iff_left.mp <| (disjoint_nhds_cobounded x).mono_left hf
theorem exists_isOpen_isBounded_image_inter_of_isCompact_of_forall_continuousWithinAt
[TopologicalSpace β] {k s : Set β} {f : β → α} (hk : IsCompact k)
(hf : ∀ x ∈ k, ContinuousWithinAt f s x) :
∃ t, k ⊆ t ∧ IsOpen t ∧ IsBounded (f '' (t ∩ s)) := by
have : Disjoint (𝓝ˢ k ⊓ 𝓟 s) (comap f (cobounded α)) := by
rw [disjoint_assoc, inf_comm, hk.disjoint_nhdsSet_left]
exact fun x hx ↦ disjoint_left_comm.2 <|
tendsto_comap.disjoint (disjoint_cobounded_nhds _) (hf x hx)
rcases ((((hasBasis_nhdsSet _).inf_principal _)).disjoint_iff ((basis_sets _).comap _)).1 this
with ⟨U, ⟨hUo, hkU⟩, t, ht, hd⟩
refine ⟨U, hkU, hUo, (isBounded_compl_iff.2 ht).subset ?_⟩
rwa [image_subset_iff, preimage_compl, subset_compl_iff_disjoint_right]
#align metric.exists_is_open_bounded_image_inter_of_is_compact_of_forall_continuous_within_at Metric.exists_isOpen_isBounded_image_inter_of_isCompact_of_forall_continuousWithinAt
theorem exists_isOpen_isBounded_image_of_isCompact_of_forall_continuousAt [TopologicalSpace β]
{k : Set β} {f : β → α} (hk : IsCompact k) (hf : ∀ x ∈ k, ContinuousAt f x) :
∃ t, k ⊆ t ∧ IsOpen t ∧ IsBounded (f '' t) := by
simp_rw [← continuousWithinAt_univ] at hf
simpa only [inter_univ] using
exists_isOpen_isBounded_image_inter_of_isCompact_of_forall_continuousWithinAt hk hf
#align metric.exists_is_open_bounded_image_of_is_compact_of_forall_continuous_at Metric.exists_isOpen_isBounded_image_of_isCompact_of_forall_continuousAt
theorem exists_isOpen_isBounded_image_inter_of_isCompact_of_continuousOn [TopologicalSpace β]
{k s : Set β} {f : β → α} (hk : IsCompact k) (hks : k ⊆ s) (hf : ContinuousOn f s) :
∃ t, k ⊆ t ∧ IsOpen t ∧ IsBounded (f '' (t ∩ s)) :=
exists_isOpen_isBounded_image_inter_of_isCompact_of_forall_continuousWithinAt hk fun x hx =>
hf x (hks hx)
#align metric.exists_is_open_bounded_image_inter_of_is_compact_of_continuous_on Metric.exists_isOpen_isBounded_image_inter_of_isCompact_of_continuousOn
theorem exists_isOpen_isBounded_image_of_isCompact_of_continuousOn [TopologicalSpace β]
{k s : Set β} {f : β → α} (hk : IsCompact k) (hs : IsOpen s) (hks : k ⊆ s)
(hf : ContinuousOn f s) : ∃ t, k ⊆ t ∧ IsOpen t ∧ IsBounded (f '' t) :=
exists_isOpen_isBounded_image_of_isCompact_of_forall_continuousAt hk fun _x hx =>
hf.continuousAt (hs.mem_nhds (hks hx))
#align metric.exists_is_open_bounded_image_of_is_compact_of_continuous_on Metric.exists_isOpen_isBounded_image_of_isCompact_of_continuousOn
theorem isCompact_of_isClosed_isBounded [ProperSpace α] (hc : IsClosed s) (hb : IsBounded s) :
IsCompact s := by
rcases eq_empty_or_nonempty s with (rfl | ⟨x, -⟩)
· exact isCompact_empty
· rcases hb.subset_closedBall x with ⟨r, hr⟩
exact (isCompact_closedBall x r).of_isClosed_subset hc hr
#align metric.is_compact_of_is_closed_bounded Metric.isCompact_of_isClosed_isBounded
theorem _root_.Bornology.IsBounded.isCompact_closure [ProperSpace α] (h : IsBounded s) :
IsCompact (closure s) :=
isCompact_of_isClosed_isBounded isClosed_closure h.closure
#align metric.bounded.is_compact_closure Bornology.IsBounded.isCompact_closure
-- Porting note (#11215): TODO: assume `[MetricSpace α]`
-- instead of `[PseudoMetricSpace α] [T2Space α]`
theorem isCompact_iff_isClosed_bounded [T2Space α] [ProperSpace α] :
IsCompact s ↔ IsClosed s ∧ IsBounded s :=
⟨fun h => ⟨h.isClosed, h.isBounded⟩, fun h => isCompact_of_isClosed_isBounded h.1 h.2⟩
#align metric.is_compact_iff_is_closed_bounded Metric.isCompact_iff_isClosed_bounded
theorem compactSpace_iff_isBounded_univ [ProperSpace α] :
CompactSpace α ↔ IsBounded (univ : Set α) :=
⟨@isBounded_of_compactSpace α _ _, fun hb => ⟨isCompact_of_isClosed_isBounded isClosed_univ hb⟩⟩
#align metric.compact_space_iff_bounded_univ Metric.compactSpace_iff_isBounded_univ
section Diam
variable {s : Set α} {x y z : α}
noncomputable def diam (s : Set α) : ℝ :=
ENNReal.toReal (EMetric.diam s)
#align metric.diam Metric.diam
theorem diam_nonneg : 0 ≤ diam s :=
ENNReal.toReal_nonneg
#align metric.diam_nonneg Metric.diam_nonneg
| Mathlib/Topology/MetricSpace/Bounded.lean | 397 | 398 | theorem diam_subsingleton (hs : s.Subsingleton) : diam s = 0 := by |
simp only [diam, EMetric.diam_subsingleton hs, ENNReal.zero_toReal]
|
import Mathlib.SetTheory.Ordinal.Arithmetic
#align_import set_theory.ordinal.exponential from "leanprover-community/mathlib"@"b67044ba53af18680e1dd246861d9584e968495d"
noncomputable section
open Function Cardinal Set Equiv Order
open scoped Classical
open Cardinal Ordinal
universe u v w
namespace Ordinal
instance pow : Pow Ordinal Ordinal :=
⟨fun a b => if a = 0 then 1 - b else limitRecOn b 1 (fun _ IH => IH * a) fun b _ => bsup.{u, u} b⟩
-- Porting note: Ambiguous notations.
-- local infixr:0 "^" => @Pow.pow Ordinal Ordinal Ordinal.instPowOrdinalOrdinal
theorem opow_def (a b : Ordinal) :
a ^ b = if a = 0 then 1 - b else limitRecOn b 1 (fun _ IH => IH * a) fun b _ => bsup.{u, u} b :=
rfl
#align ordinal.opow_def Ordinal.opow_def
-- Porting note: `if_pos rfl` → `if_true`
theorem zero_opow' (a : Ordinal) : 0 ^ a = 1 - a := by simp only [opow_def, if_true]
#align ordinal.zero_opow' Ordinal.zero_opow'
@[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]
#align ordinal.zero_opow Ordinal.zero_opow
@[simp]
theorem opow_zero (a : Ordinal) : a ^ (0 : Ordinal) = 1 := by
by_cases h : a = 0
· simp only [opow_def, if_pos h, sub_zero]
· simp only [opow_def, if_neg h, limitRecOn_zero]
#align ordinal.opow_zero Ordinal.opow_zero
@[simp]
theorem opow_succ (a b : Ordinal) : a ^ succ b = a ^ b * a :=
if h : a = 0 then by subst a; simp only [zero_opow (succ_ne_zero _), mul_zero]
else by simp only [opow_def, limitRecOn_succ, if_neg h]
#align ordinal.opow_succ Ordinal.opow_succ
theorem opow_limit {a b : Ordinal} (a0 : a ≠ 0) (h : IsLimit b) :
a ^ b = bsup.{u, u} b fun c _ => a ^ c := by
simp only [opow_def, if_neg a0]; rw [limitRecOn_limit _ _ _ _ h]
#align ordinal.opow_limit Ordinal.opow_limit
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, bsup_le_iff]
#align ordinal.opow_le_of_limit Ordinal.opow_le_of_limit
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]
#align ordinal.lt_opow_of_limit Ordinal.lt_opow_of_limit
@[simp]
theorem opow_one (a : Ordinal) : a ^ (1 : Ordinal) = a := by
rw [← succ_zero, opow_succ]; simp only [opow_zero, one_mul]
#align ordinal.opow_one Ordinal.opow_one
@[simp]
theorem one_opow (a : Ordinal) : (1 : Ordinal) ^ a = 1 := by
induction a using limitRecOn with
| H₁ => simp only [opow_zero]
| H₂ _ ih =>
simp only [opow_succ, ih, mul_one]
| H₃ b l IH =>
refine eq_of_forall_ge_iff fun c => ?_
rw [opow_le_of_limit Ordinal.one_ne_zero l]
exact ⟨fun H => by simpa only [opow_zero] using H 0 l.pos, fun H b' h => by rwa [IH _ h]⟩
#align ordinal.one_opow Ordinal.one_opow
theorem opow_pos {a : Ordinal} (b : Ordinal) (a0 : 0 < a) : 0 < a ^ b := by
have h0 : 0 < a ^ (0 : Ordinal) := by simp only [opow_zero, zero_lt_one]
induction b using limitRecOn with
| H₁ => exact h0
| H₂ b IH =>
rw [opow_succ]
exact mul_pos IH a0
| H₃ b l _ =>
exact (lt_opow_of_limit (Ordinal.pos_iff_ne_zero.1 a0) l).2 ⟨0, l.pos, h0⟩
#align ordinal.opow_pos Ordinal.opow_pos
theorem opow_ne_zero {a : Ordinal} (b : Ordinal) (a0 : a ≠ 0) : a ^ b ≠ 0 :=
Ordinal.pos_iff_ne_zero.1 <| opow_pos b <| Ordinal.pos_iff_ne_zero.2 a0
#align ordinal.opow_ne_zero Ordinal.opow_ne_zero
theorem opow_isNormal {a : Ordinal} (h : 1 < a) : IsNormal (a ^ ·) :=
have a0 : 0 < a := zero_lt_one.trans h
⟨fun b => by simpa only [mul_one, opow_succ] using (mul_lt_mul_iff_left (opow_pos b a0)).2 h,
fun b l c => opow_le_of_limit (ne_of_gt a0) l⟩
#align ordinal.opow_is_normal Ordinal.opow_isNormal
theorem opow_lt_opow_iff_right {a b c : Ordinal} (a1 : 1 < a) : a ^ b < a ^ c ↔ b < c :=
(opow_isNormal a1).lt_iff
#align ordinal.opow_lt_opow_iff_right Ordinal.opow_lt_opow_iff_right
theorem opow_le_opow_iff_right {a b c : Ordinal} (a1 : 1 < a) : a ^ b ≤ a ^ c ↔ b ≤ c :=
(opow_isNormal a1).le_iff
#align ordinal.opow_le_opow_iff_right Ordinal.opow_le_opow_iff_right
theorem opow_right_inj {a b c : Ordinal} (a1 : 1 < a) : a ^ b = a ^ c ↔ b = c :=
(opow_isNormal a1).inj
#align ordinal.opow_right_inj Ordinal.opow_right_inj
theorem opow_isLimit {a b : Ordinal} (a1 : 1 < a) : IsLimit b → IsLimit (a ^ b) :=
(opow_isNormal a1).isLimit
#align ordinal.opow_is_limit Ordinal.opow_isLimit
theorem opow_isLimit_left {a b : Ordinal} (l : IsLimit a) (hb : b ≠ 0) : IsLimit (a ^ b) := by
rcases zero_or_succ_or_limit b with (e | ⟨b, rfl⟩ | l')
· exact absurd e hb
· rw [opow_succ]
exact mul_isLimit (opow_pos _ l.pos) l
· exact opow_isLimit l.one_lt l'
#align ordinal.opow_is_limit_left Ordinal.opow_isLimit_left
theorem opow_le_opow_right {a b c : Ordinal} (h₁ : 0 < a) (h₂ : b ≤ c) : a ^ b ≤ a ^ c := by
rcases lt_or_eq_of_le (one_le_iff_pos.2 h₁) with h₁ | h₁
· exact (opow_le_opow_iff_right h₁).2 h₂
· subst a
-- Porting note: `le_refl` is required.
simp only [one_opow, le_refl]
#align ordinal.opow_le_opow_right Ordinal.opow_le_opow_right
theorem opow_le_opow_left {a b : Ordinal} (c : Ordinal) (ab : a ≤ b) : a ^ c ≤ b ^ c := by
by_cases a0 : a = 0
-- Porting note: `le_refl` is required.
· subst a
by_cases c0 : c = 0
· subst c
simp only [opow_zero, le_refl]
· simp only [zero_opow c0, Ordinal.zero_le]
· induction c using limitRecOn with
| H₁ => simp only [opow_zero, le_refl]
| H₂ c IH =>
simpa only [opow_succ] using mul_le_mul' IH ab
| H₃ c l IH =>
exact
(opow_le_of_limit a0 l).2 fun b' h =>
(IH _ h).trans (opow_le_opow_right ((Ordinal.pos_iff_ne_zero.2 a0).trans_le ab) h.le)
#align ordinal.opow_le_opow_left Ordinal.opow_le_opow_left
theorem left_le_opow (a : Ordinal) {b : Ordinal} (b1 : 0 < b) : a ≤ a ^ b := by
nth_rw 1 [← opow_one a]
cases' le_or_gt a 1 with a1 a1
· rcases lt_or_eq_of_le a1 with a0 | a1
· rw [lt_one_iff_zero] at a0
rw [a0, zero_opow Ordinal.one_ne_zero]
exact Ordinal.zero_le _
rw [a1, one_opow, one_opow]
rwa [opow_le_opow_iff_right a1, one_le_iff_pos]
#align ordinal.left_le_opow Ordinal.left_le_opow
theorem right_le_opow {a : Ordinal} (b : Ordinal) (a1 : 1 < a) : b ≤ a ^ b :=
(opow_isNormal a1).self_le _
#align ordinal.right_le_opow Ordinal.right_le_opow
theorem opow_lt_opow_left_of_succ {a b c : Ordinal} (ab : a < b) : a ^ succ c < b ^ succ c := by
rw [opow_succ, opow_succ]
exact
(mul_le_mul_right' (opow_le_opow_left c ab.le) a).trans_lt
(mul_lt_mul_of_pos_left ab (opow_pos c ((Ordinal.zero_le a).trans_lt ab)))
#align ordinal.opow_lt_opow_left_of_succ Ordinal.opow_lt_opow_left_of_succ
theorem opow_add (a b c : Ordinal) : a ^ (b + c) = a ^ b * a ^ c := by
rcases eq_or_ne a 0 with (rfl | a0)
· rcases eq_or_ne c 0 with (rfl | c0)
· simp
have : b + c ≠ 0 := ((Ordinal.pos_iff_ne_zero.2 c0).trans_le (le_add_left _ _)).ne'
simp only [zero_opow c0, zero_opow this, mul_zero]
rcases eq_or_lt_of_le (one_le_iff_ne_zero.2 a0) with (rfl | a1)
· simp only [one_opow, mul_one]
induction c using limitRecOn with
| H₁ => simp
| H₂ c IH =>
rw [add_succ, opow_succ, IH, opow_succ, mul_assoc]
| H₃ c l IH =>
refine
eq_of_forall_ge_iff fun d =>
(((opow_isNormal a1).trans (add_isNormal b)).limit_le l).trans ?_
dsimp only [Function.comp_def]
simp (config := { contextual := true }) only [IH]
exact
(((mul_isNormal <| opow_pos b (Ordinal.pos_iff_ne_zero.2 a0)).trans
(opow_isNormal a1)).limit_le
l).symm
#align ordinal.opow_add Ordinal.opow_add
theorem opow_one_add (a b : Ordinal) : a ^ (1 + b) = a * a ^ b := by rw [opow_add, opow_one]
#align ordinal.opow_one_add Ordinal.opow_one_add
theorem opow_dvd_opow (a : Ordinal) {b c : Ordinal} (h : b ≤ c) : a ^ b ∣ a ^ c :=
⟨a ^ (c - b), by rw [← opow_add, Ordinal.add_sub_cancel_of_le h]⟩
#align ordinal.opow_dvd_opow Ordinal.opow_dvd_opow
theorem opow_dvd_opow_iff {a b c : Ordinal} (a1 : 1 < a) : a ^ b ∣ a ^ c ↔ b ≤ c :=
⟨fun h =>
le_of_not_lt fun hn =>
not_le_of_lt ((opow_lt_opow_iff_right a1).2 hn) <|
le_of_dvd (opow_ne_zero _ <| one_le_iff_ne_zero.1 <| a1.le) h,
opow_dvd_opow _⟩
#align ordinal.opow_dvd_opow_iff Ordinal.opow_dvd_opow_iff
theorem opow_mul (a b c : Ordinal) : a ^ (b * c) = (a ^ b) ^ c := by
by_cases b0 : b = 0; · simp only [b0, zero_mul, opow_zero, one_opow]
by_cases a0 : a = 0
· subst a
by_cases c0 : c = 0
· simp only [c0, mul_zero, opow_zero]
simp only [zero_opow b0, zero_opow c0, zero_opow (mul_ne_zero b0 c0)]
cases' eq_or_lt_of_le (one_le_iff_ne_zero.2 a0) with a1 a1
· subst a1
simp only [one_opow]
induction c using limitRecOn with
| H₁ => simp only [mul_zero, opow_zero]
| H₂ c IH =>
rw [mul_succ, opow_add, IH, opow_succ]
| H₃ c l IH =>
refine
eq_of_forall_ge_iff fun d =>
(((opow_isNormal a1).trans (mul_isNormal (Ordinal.pos_iff_ne_zero.2 b0))).limit_le
l).trans
?_
dsimp only [Function.comp_def]
simp (config := { contextual := true }) only [IH]
exact (opow_le_of_limit (opow_ne_zero _ a0) l).symm
#align ordinal.opow_mul Ordinal.opow_mul
-- @[pp_nodot] -- Porting note: Unknown attribute.
def log (b : Ordinal) (x : Ordinal) : Ordinal :=
if _h : 1 < b then pred (sInf { o | x < b ^ o }) else 0
#align ordinal.log Ordinal.log
theorem log_nonempty {b x : Ordinal} (h : 1 < b) : { o : Ordinal | x < b ^ o }.Nonempty :=
⟨_, succ_le_iff.1 (right_le_opow _ h)⟩
#align ordinal.log_nonempty Ordinal.log_nonempty
theorem log_def {b : Ordinal} (h : 1 < b) (x : Ordinal) :
log b x = pred (sInf { o | x < b ^ o }) := by simp only [log, dif_pos h]
#align ordinal.log_def Ordinal.log_def
theorem log_of_not_one_lt_left {b : Ordinal} (h : ¬1 < b) (x : Ordinal) : log b x = 0 := by
simp only [log, dif_neg h]
#align ordinal.log_of_not_one_lt_left Ordinal.log_of_not_one_lt_left
theorem log_of_left_le_one {b : Ordinal} (h : b ≤ 1) : ∀ x, log b x = 0 :=
log_of_not_one_lt_left h.not_lt
#align ordinal.log_of_left_le_one Ordinal.log_of_left_le_one
@[simp]
theorem log_zero_left : ∀ b, log 0 b = 0 :=
log_of_left_le_one zero_le_one
#align ordinal.log_zero_left Ordinal.log_zero_left
@[simp]
theorem log_zero_right (b : Ordinal) : log b 0 = 0 :=
if b1 : 1 < b then by
rw [log_def b1, ← Ordinal.le_zero, pred_le]
apply csInf_le'
dsimp
rw [succ_zero, opow_one]
exact zero_lt_one.trans b1
else by simp only [log_of_not_one_lt_left b1]
#align ordinal.log_zero_right Ordinal.log_zero_right
@[simp]
theorem log_one_left : ∀ b, log 1 b = 0 :=
log_of_left_le_one le_rfl
#align ordinal.log_one_left Ordinal.log_one_left
theorem succ_log_def {b x : Ordinal} (hb : 1 < b) (hx : x ≠ 0) :
succ (log b x) = sInf { o : Ordinal | x < b ^ o } := by
let t := sInf { o : Ordinal | x < b ^ o }
have : x < (b^t) := csInf_mem (log_nonempty hb)
rcases zero_or_succ_or_limit t with (h | h | h)
· refine ((one_le_iff_ne_zero.2 hx).not_lt ?_).elim
simpa only [h, opow_zero] using this
· rw [show log b x = pred t from log_def hb x, succ_pred_iff_is_succ.2 h]
· rcases (lt_opow_of_limit (zero_lt_one.trans hb).ne' h).1 this with ⟨a, h₁, h₂⟩
exact h₁.not_le.elim ((le_csInf_iff'' (log_nonempty hb)).1 le_rfl a h₂)
#align ordinal.succ_log_def Ordinal.succ_log_def
theorem lt_opow_succ_log_self {b : Ordinal} (hb : 1 < b) (x : Ordinal) :
x < b ^ succ (log b x) := by
rcases eq_or_ne x 0 with (rfl | hx)
· apply opow_pos _ (zero_lt_one.trans hb)
· rw [succ_log_def hb hx]
exact csInf_mem (log_nonempty hb)
#align ordinal.lt_opow_succ_log_self Ordinal.lt_opow_succ_log_self
theorem opow_log_le_self (b : Ordinal) {x : Ordinal} (hx : x ≠ 0) : b ^ log b x ≤ x := by
rcases eq_or_ne b 0 with (rfl | b0)
· rw [zero_opow']
exact (sub_le_self _ _).trans (one_le_iff_ne_zero.2 hx)
rcases lt_or_eq_of_le (one_le_iff_ne_zero.2 b0) with (hb | rfl)
· refine le_of_not_lt fun h => (lt_succ (log b x)).not_le ?_
have := @csInf_le' _ _ { o | x < b ^ o } _ h
rwa [← succ_log_def hb hx] at this
· rwa [one_opow, one_le_iff_ne_zero]
#align ordinal.opow_log_le_self Ordinal.opow_log_le_self
theorem opow_le_iff_le_log {b x c : Ordinal} (hb : 1 < b) (hx : x ≠ 0) : b ^ c ≤ x ↔ c ≤ log b x :=
⟨fun h =>
le_of_not_lt fun hn =>
(lt_opow_succ_log_self hb x).not_le <|
((opow_le_opow_iff_right hb).2 (succ_le_of_lt hn)).trans h,
fun h => ((opow_le_opow_iff_right hb).2 h).trans (opow_log_le_self b hx)⟩
#align ordinal.opow_le_iff_le_log Ordinal.opow_le_iff_le_log
theorem lt_opow_iff_log_lt {b x c : Ordinal} (hb : 1 < b) (hx : x ≠ 0) : x < b ^ c ↔ log b x < c :=
lt_iff_lt_of_le_iff_le (opow_le_iff_le_log hb hx)
#align ordinal.lt_opow_iff_log_lt Ordinal.lt_opow_iff_log_lt
theorem log_pos {b o : Ordinal} (hb : 1 < b) (ho : o ≠ 0) (hbo : b ≤ o) : 0 < log b o := by
rwa [← succ_le_iff, succ_zero, ← opow_le_iff_le_log hb ho, opow_one]
#align ordinal.log_pos Ordinal.log_pos
theorem log_eq_zero {b o : Ordinal} (hbo : o < b) : log b o = 0 := by
rcases eq_or_ne o 0 with (rfl | ho)
· exact log_zero_right b
rcases le_or_lt b 1 with hb | hb
· rcases le_one_iff.1 hb with (rfl | rfl)
· exact log_zero_left o
· exact log_one_left o
· rwa [← Ordinal.le_zero, ← lt_succ_iff, succ_zero, ← lt_opow_iff_log_lt hb ho, opow_one]
#align ordinal.log_eq_zero Ordinal.log_eq_zero
@[mono]
theorem log_mono_right (b : Ordinal) {x y : Ordinal} (xy : x ≤ y) : log b x ≤ log b y :=
if hx : x = 0 then by simp only [hx, log_zero_right, Ordinal.zero_le]
else
if hb : 1 < b then
(opow_le_iff_le_log hb (lt_of_lt_of_le (Ordinal.pos_iff_ne_zero.2 hx) xy).ne').1 <|
(opow_log_le_self _ hx).trans xy
else by simp only [log_of_not_one_lt_left hb, Ordinal.zero_le]
#align ordinal.log_mono_right Ordinal.log_mono_right
theorem log_le_self (b x : Ordinal) : log b x ≤ x :=
if hx : x = 0 then by simp only [hx, log_zero_right, Ordinal.zero_le]
else
if hb : 1 < b then (right_le_opow _ hb).trans (opow_log_le_self b hx)
else by simp only [log_of_not_one_lt_left hb, Ordinal.zero_le]
#align ordinal.log_le_self Ordinal.log_le_self
@[simp]
theorem log_one_right (b : Ordinal) : log b 1 = 0 :=
if hb : 1 < b then log_eq_zero hb else log_of_not_one_lt_left hb 1
#align ordinal.log_one_right Ordinal.log_one_right
theorem mod_opow_log_lt_self (b : Ordinal) {o : Ordinal} (ho : o ≠ 0) : o % (b ^ log b o) < o := by
rcases eq_or_ne b 0 with (rfl | hb)
· simpa using Ordinal.pos_iff_ne_zero.2 ho
· exact (mod_lt _ <| opow_ne_zero _ hb).trans_le (opow_log_le_self _ ho)
#align ordinal.mod_opow_log_lt_self Ordinal.mod_opow_log_lt_self
theorem log_mod_opow_log_lt_log_self {b o : Ordinal} (hb : 1 < b) (ho : o ≠ 0) (hbo : b ≤ o) :
log b (o % (b ^ log b o)) < log b o := by
rcases eq_or_ne (o % (b ^ log b o)) 0 with h | h
· rw [h, log_zero_right]
apply log_pos hb ho hbo
· rw [← succ_le_iff, succ_log_def hb h]
apply csInf_le'
apply mod_lt
rw [← Ordinal.pos_iff_ne_zero]
exact opow_pos _ (zero_lt_one.trans hb)
#align ordinal.log_mod_opow_log_lt_log_self Ordinal.log_mod_opow_log_lt_log_self
theorem opow_mul_add_pos {b v : Ordinal} (hb : b ≠ 0) (u : Ordinal) (hv : v ≠ 0) (w : Ordinal) :
0 < b ^ u * v + w :=
(opow_pos u <| Ordinal.pos_iff_ne_zero.2 hb).trans_le <|
(le_mul_left _ <| Ordinal.pos_iff_ne_zero.2 hv).trans <| le_add_right _ _
#align ordinal.opow_mul_add_pos Ordinal.opow_mul_add_pos
theorem opow_mul_add_lt_opow_mul_succ {b u w : Ordinal} (v : Ordinal) (hw : w < b ^ u) :
b ^ u * v + w < b ^ u * succ v := by rwa [mul_succ, add_lt_add_iff_left]
#align ordinal.opow_mul_add_lt_opow_mul_succ Ordinal.opow_mul_add_lt_opow_mul_succ
theorem opow_mul_add_lt_opow_succ {b u v w : Ordinal} (hvb : v < b) (hw : w < b ^ u) :
b ^ u * v + w < b ^ succ u := by
convert (opow_mul_add_lt_opow_mul_succ v hw).trans_le (mul_le_mul_left' (succ_le_of_lt hvb) _)
using 1
exact opow_succ b u
#align ordinal.opow_mul_add_lt_opow_succ Ordinal.opow_mul_add_lt_opow_succ
theorem log_opow_mul_add {b u v w : Ordinal} (hb : 1 < b) (hv : v ≠ 0) (hvb : v < b)
(hw : w < b ^ u) : log b (b ^ u * v + w) = u := by
have hne' := (opow_mul_add_pos (zero_lt_one.trans hb).ne' u hv w).ne'
by_contra! hne
cases' lt_or_gt_of_ne hne with h h
· rw [← lt_opow_iff_log_lt hb hne'] at h
exact h.not_le ((le_mul_left _ (Ordinal.pos_iff_ne_zero.2 hv)).trans (le_add_right _ _))
· conv at h => change u < log b (b ^ u * v + w)
rw [← succ_le_iff, ← opow_le_iff_le_log hb hne'] at h
exact (not_lt_of_le h) (opow_mul_add_lt_opow_succ hvb hw)
#align ordinal.log_opow_mul_add Ordinal.log_opow_mul_add
theorem log_opow {b : Ordinal} (hb : 1 < b) (x : Ordinal) : log b (b ^ x) = x := by
convert log_opow_mul_add hb zero_ne_one.symm hb (opow_pos x (zero_lt_one.trans hb))
using 1
rw [add_zero, mul_one]
#align ordinal.log_opow Ordinal.log_opow
theorem div_opow_log_pos (b : Ordinal) {o : Ordinal} (ho : o ≠ 0) : 0 < o / (b ^ log b o) := by
rcases eq_zero_or_pos b with (rfl | hb)
· simpa using Ordinal.pos_iff_ne_zero.2 ho
· rw [div_pos (opow_ne_zero _ hb.ne')]
exact opow_log_le_self b ho
#align ordinal.div_opow_log_pos Ordinal.div_opow_log_pos
| Mathlib/SetTheory/Ordinal/Exponential.lean | 439 | 441 | theorem div_opow_log_lt {b : Ordinal} (o : Ordinal) (hb : 1 < b) : o / (b ^ log b o) < b := by |
rw [div_lt (opow_pos _ (zero_lt_one.trans hb)).ne', ← opow_succ]
exact lt_opow_succ_log_self hb o
|
import Mathlib.Order.PropInstances
#align_import order.heyting.basic from "leanprover-community/mathlib"@"9ac7c0c8c4d7a535ec3e5b34b8859aab9233b2f4"
open Function OrderDual
universe u
variable {ι α β : Type*}
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
#align fst_himp fst_himp
@[simp]
theorem snd_himp [HImp α] [HImp β] (a b : α × β) : (a ⇨ b).2 = a.2 ⇨ b.2 :=
rfl
#align snd_himp snd_himp
@[simp]
theorem fst_hnot [HNot α] [HNot β] (a : α × β) : (￢a).1 = ￢a.1 :=
rfl
#align fst_hnot fst_hnot
@[simp]
theorem snd_hnot [HNot α] [HNot β] (a : α × β) : (￢a).2 = ￢a.2 :=
rfl
#align snd_hnot snd_hnot
@[simp]
theorem fst_sdiff [SDiff α] [SDiff β] (a b : α × β) : (a \ b).1 = a.1 \ b.1 :=
rfl
#align fst_sdiff fst_sdiff
@[simp]
theorem snd_sdiff [SDiff α] [SDiff β] (a b : α × β) : (a \ b).2 = a.2 \ b.2 :=
rfl
#align snd_sdiff snd_sdiff
@[simp]
theorem fst_compl [HasCompl α] [HasCompl β] (a : α × β) : aᶜ.1 = a.1ᶜ :=
rfl
#align fst_compl fst_compl
@[simp]
theorem snd_compl [HasCompl α] [HasCompl β] (a : α × β) : aᶜ.2 = a.2ᶜ :=
rfl
#align snd_compl snd_compl
class GeneralizedHeytingAlgebra (α : Type*) extends Lattice α, OrderTop α, HImp α where
le_himp_iff (a b c : α) : a ≤ b ⇨ c ↔ a ⊓ b ≤ c
#align generalized_heyting_algebra GeneralizedHeytingAlgebra
#align generalized_heyting_algebra.to_order_top GeneralizedHeytingAlgebra.toOrderTop
class GeneralizedCoheytingAlgebra (α : Type*) extends Lattice α, OrderBot α, SDiff α where
sdiff_le_iff (a b c : α) : a \ b ≤ c ↔ a ≤ b ⊔ c
#align generalized_coheyting_algebra GeneralizedCoheytingAlgebra
#align generalized_coheyting_algebra.to_order_bot GeneralizedCoheytingAlgebra.toOrderBot
class HeytingAlgebra (α : Type*) extends GeneralizedHeytingAlgebra α, OrderBot α, HasCompl α where
himp_bot (a : α) : a ⇨ ⊥ = aᶜ
#align heyting_algebra HeytingAlgebra
class CoheytingAlgebra (α : Type*) extends GeneralizedCoheytingAlgebra α, OrderTop α, HNot α where
top_sdiff (a : α) : ⊤ \ a = ￢a
#align coheyting_algebra CoheytingAlgebra
class BiheytingAlgebra (α : Type*) extends HeytingAlgebra α, SDiff α, HNot α where
sdiff_le_iff (a b c : α) : a \ b ≤ c ↔ a ≤ b ⊔ c
top_sdiff (a : α) : ⊤ \ a = ￢a
#align biheyting_algebra BiheytingAlgebra
-- 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 }
--#align heyting_algebra.to_bounded_order HeytingAlgebra.toBoundedOrder
-- See note [lower instance priority]
instance (priority := 100) CoheytingAlgebra.toBoundedOrder [CoheytingAlgebra α] : BoundedOrder α :=
{ ‹CoheytingAlgebra α› with }
#align coheyting_algebra.to_bounded_order CoheytingAlgebra.toBoundedOrder
-- See note [lower instance priority]
instance (priority := 100) BiheytingAlgebra.toCoheytingAlgebra [BiheytingAlgebra α] :
CoheytingAlgebra α :=
{ ‹BiheytingAlgebra α› with }
#align biheyting_algebra.to_coheyting_algebra BiheytingAlgebra.toCoheytingAlgebra
-- See note [reducible non-instances]
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 a => rfl }
#align heyting_algebra.of_himp HeytingAlgebra.ofHImp
-- See note [reducible non-instances]
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 _
#align heyting_algebra.of_compl HeytingAlgebra.ofCompl
-- See note [reducible non-instances]
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 a => rfl }
#align coheyting_algebra.of_sdiff CoheytingAlgebra.ofSDiff
-- See note [reducible non-instances]
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 _
#align coheyting_algebra.of_hnot CoheytingAlgebra.ofHNot
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 _ _ _
#align sdiff_le_iff sdiff_le_iff
theorem sdiff_le_iff' : a \ b ≤ c ↔ a ≤ c ⊔ b := by rw [sdiff_le_iff, sup_comm]
#align sdiff_le_iff' sdiff_le_iff'
theorem sdiff_le_comm : a \ b ≤ c ↔ a \ c ≤ b := by rw [sdiff_le_iff, sdiff_le_iff']
#align sdiff_le_comm sdiff_le_comm
theorem sdiff_le : a \ b ≤ a :=
sdiff_le_iff.2 le_sup_right
#align sdiff_le sdiff_le
theorem Disjoint.disjoint_sdiff_left (h : Disjoint a b) : Disjoint (a \ c) b :=
h.mono_left sdiff_le
#align disjoint.disjoint_sdiff_left Disjoint.disjoint_sdiff_left
theorem Disjoint.disjoint_sdiff_right (h : Disjoint a b) : Disjoint a (b \ c) :=
h.mono_right sdiff_le
#align disjoint.disjoint_sdiff_right Disjoint.disjoint_sdiff_right
theorem sdiff_le_iff_left : a \ b ≤ b ↔ a ≤ b := by rw [sdiff_le_iff, sup_idem]
#align sdiff_le_iff_left sdiff_le_iff_left
@[simp]
theorem sdiff_self : a \ a = ⊥ :=
le_bot_iff.1 <| sdiff_le_iff.2 le_sup_left
#align sdiff_self sdiff_self
theorem le_sup_sdiff : a ≤ b ⊔ a \ b :=
sdiff_le_iff.1 le_rfl
#align le_sup_sdiff le_sup_sdiff
theorem le_sdiff_sup : a ≤ a \ b ⊔ b := by rw [sup_comm, ← sdiff_le_iff]
#align le_sdiff_sup le_sdiff_sup
theorem sup_sdiff_left : a ⊔ a \ b = a :=
sup_of_le_left sdiff_le
#align sup_sdiff_left sup_sdiff_left
theorem sup_sdiff_right : a \ b ⊔ a = a :=
sup_of_le_right sdiff_le
#align sup_sdiff_right sup_sdiff_right
theorem inf_sdiff_left : a \ b ⊓ a = a \ b :=
inf_of_le_left sdiff_le
#align inf_sdiff_left inf_sdiff_left
theorem inf_sdiff_right : a ⊓ a \ b = a \ b :=
inf_of_le_right sdiff_le
#align inf_sdiff_right inf_sdiff_right
@[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)
#align sup_sdiff_self sup_sdiff_self
@[simp]
theorem sdiff_sup_self (a b : α) : b \ a ⊔ a = b ⊔ a := by rw [sup_comm, sup_sdiff_self, sup_comm]
#align sdiff_sup_self sdiff_sup_self
alias sup_sdiff_self_left := sdiff_sup_self
#align sup_sdiff_self_left sup_sdiff_self_left
alias sup_sdiff_self_right := sup_sdiff_self
#align sup_sdiff_self_right sup_sdiff_self_right
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 _
#align sup_sdiff_eq_sup sup_sdiff_eq_sup
-- 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]
#align sup_sdiff_cancel' sup_sdiff_cancel'
theorem sup_sdiff_cancel_right (h : a ≤ b) : a ⊔ b \ a = b :=
sup_sdiff_cancel' le_rfl h
#align sup_sdiff_cancel_right sup_sdiff_cancel_right
theorem sdiff_sup_cancel (h : b ≤ a) : a \ b ⊔ b = a := by rw [sup_comm, sup_sdiff_cancel_right h]
#align sdiff_sup_cancel sdiff_sup_cancel
theorem sup_le_of_le_sdiff_left (h : b ≤ c \ a) (hac : a ≤ c) : a ⊔ b ≤ c :=
sup_le hac <| h.trans sdiff_le
#align sup_le_of_le_sdiff_left sup_le_of_le_sdiff_left
theorem sup_le_of_le_sdiff_right (h : a ≤ c \ b) (hbc : b ≤ c) : a ⊔ b ≤ c :=
sup_le (h.trans sdiff_le) hbc
#align sup_le_of_le_sdiff_right sup_le_of_le_sdiff_right
@[simp]
theorem sdiff_eq_bot_iff : a \ b = ⊥ ↔ a ≤ b := by rw [← le_bot_iff, sdiff_le_iff, sup_bot_eq]
#align sdiff_eq_bot_iff sdiff_eq_bot_iff
@[simp]
theorem sdiff_bot : a \ ⊥ = a :=
eq_of_forall_ge_iff fun b => by rw [sdiff_le_iff, bot_sup_eq]
#align sdiff_bot sdiff_bot
@[simp]
theorem bot_sdiff : ⊥ \ a = ⊥ :=
sdiff_eq_bot_iff.2 bot_le
#align bot_sdiff bot_sdiff
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
#align sdiff_sdiff_sdiff_le_sdiff sdiff_sdiff_sdiff_le_sdiff
@[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]
#align sdiff_sdiff sdiff_sdiff
theorem sdiff_sdiff_left : (a \ b) \ c = a \ (b ⊔ c) :=
sdiff_sdiff _ _ _
#align sdiff_sdiff_left sdiff_sdiff_left
theorem sdiff_right_comm (a b c : α) : (a \ b) \ c = (a \ c) \ b := by
simp_rw [sdiff_sdiff, sup_comm]
#align sdiff_right_comm sdiff_right_comm
theorem sdiff_sdiff_comm : (a \ b) \ c = (a \ c) \ b :=
sdiff_right_comm _ _ _
#align sdiff_sdiff_comm sdiff_sdiff_comm
@[simp]
theorem sdiff_idem : (a \ b) \ b = a \ b := by rw [sdiff_sdiff_left, sup_idem]
#align sdiff_idem sdiff_idem
@[simp]
| Mathlib/Order/Heyting/Basic.lean | 577 | 577 | theorem sdiff_sdiff_self : (a \ b) \ a = ⊥ := by | rw [sdiff_sdiff_comm, sdiff_self, bot_sdiff]
|
import Mathlib.AlgebraicGeometry.Spec
import Mathlib.Algebra.Category.Ring.Constructions
import Mathlib.CategoryTheory.Elementwise
#align_import algebraic_geometry.Scheme from "leanprover-community/mathlib"@"88474d1b5af6d37c2ab728b757771bced7f5194c"
-- Explicit universe annotations were used in this file to improve perfomance #12737
set_option linter.uppercaseLean3 false
universe u
noncomputable section
open TopologicalSpace
open CategoryTheory
open TopCat
open Opposite
namespace AlgebraicGeometry
structure Scheme extends LocallyRingedSpace where
local_affine :
∀ x : toLocallyRingedSpace,
∃ (U : OpenNhds x) (R : CommRingCat),
Nonempty
(toLocallyRingedSpace.restrict U.openEmbedding ≅ Spec.toLocallyRingedSpace.obj (op R))
#align algebraic_geometry.Scheme AlgebraicGeometry.Scheme
namespace Scheme
-- @[nolint has_nonempty_instance] -- Porting note(#5171): linter not ported yet
def Hom (X Y : Scheme) : Type* :=
X.toLocallyRingedSpace ⟶ Y.toLocallyRingedSpace
#align algebraic_geometry.Scheme.hom AlgebraicGeometry.Scheme.Hom
instance : Category Scheme :=
{ InducedCategory.category Scheme.toLocallyRingedSpace with Hom := Hom }
-- porting note (#10688): added to ease automation
@[continuity]
lemma Hom.continuous {X Y : Scheme} (f : X ⟶ Y) : Continuous f.1.base := f.1.base.2
protected abbrev sheaf (X : Scheme) :=
X.toSheafedSpace.sheaf
#align algebraic_geometry.Scheme.sheaf AlgebraicGeometry.Scheme.sheaf
instance : CoeSort Scheme Type* where
coe X := X.carrier
@[simps!]
def forgetToLocallyRingedSpace : Scheme ⥤ LocallyRingedSpace :=
inducedFunctor _
-- deriving Full, Faithful -- Porting note: no delta derive handler, see https://github.com/leanprover-community/mathlib4/issues/5020
#align algebraic_geometry.Scheme.forget_to_LocallyRingedSpace AlgebraicGeometry.Scheme.forgetToLocallyRingedSpace
@[simps!]
def fullyFaithfulForgetToLocallyRingedSpace :
forgetToLocallyRingedSpace.FullyFaithful :=
fullyFaithfulInducedFunctor _
instance : forgetToLocallyRingedSpace.Full :=
InducedCategory.full _
instance : forgetToLocallyRingedSpace.Faithful :=
InducedCategory.faithful _
@[simps!]
def forgetToTop : Scheme ⥤ TopCat :=
Scheme.forgetToLocallyRingedSpace ⋙ LocallyRingedSpace.forgetToTop
#align algebraic_geometry.Scheme.forget_to_Top AlgebraicGeometry.Scheme.forgetToTop
-- Porting note: Lean seems not able to find this coercion any more
instance hasCoeToTopCat : CoeOut Scheme TopCat where
coe X := X.carrier
-- Porting note: added this unification hint just in case
unif_hint forgetToTop_obj_eq_coe (X : Scheme) where ⊢
forgetToTop.obj X ≟ (X : TopCat)
@[simp]
theorem id_val_base (X : Scheme) : (𝟙 X : _).1.base = 𝟙 _ :=
rfl
#align algebraic_geometry.Scheme.id_val_base AlgebraicGeometry.Scheme.id_val_base
@[simp]
theorem id_app {X : Scheme} (U : (Opens X.carrier)ᵒᵖ) :
(𝟙 X : _).val.c.app U =
X.presheaf.map (eqToHom (by induction' U with U; cases U; rfl)) :=
PresheafedSpace.id_c_app X.toPresheafedSpace U
#align algebraic_geometry.Scheme.id_app AlgebraicGeometry.Scheme.id_app
@[reassoc]
theorem comp_val {X Y Z : Scheme} (f : X ⟶ Y) (g : Y ⟶ Z) : (f ≫ g).val = f.val ≫ g.val :=
rfl
#align algebraic_geometry.Scheme.comp_val AlgebraicGeometry.Scheme.comp_val
@[simp, reassoc] -- reassoc lemma does not need `simp`
theorem comp_coeBase {X Y Z : Scheme} (f : X ⟶ Y) (g : Y ⟶ Z) :
(f ≫ g).val.base = f.val.base ≫ g.val.base :=
rfl
#align algebraic_geometry.Scheme.comp_coe_base AlgebraicGeometry.Scheme.comp_coeBase
-- Porting note: removed elementwise attribute, as generated lemmas were trivial.
@[reassoc]
theorem comp_val_base {X Y Z : Scheme} (f : X ⟶ Y) (g : Y ⟶ Z) :
(f ≫ g).val.base = f.val.base ≫ g.val.base :=
rfl
#align algebraic_geometry.Scheme.comp_val_base AlgebraicGeometry.Scheme.comp_val_base
theorem comp_val_base_apply {X Y Z : Scheme} (f : X ⟶ Y) (g : Y ⟶ Z) (x : X) :
(f ≫ g).val.base x = g.val.base (f.val.base x) := by
simp
#align algebraic_geometry.Scheme.comp_val_base_apply AlgebraicGeometry.Scheme.comp_val_base_apply
@[simp, reassoc] -- reassoc lemma does not need `simp`
theorem comp_val_c_app {X Y Z : Scheme} (f : X ⟶ Y) (g : Y ⟶ Z) (U) :
(f ≫ g).val.c.app U = g.val.c.app U ≫ f.val.c.app _ :=
rfl
#align algebraic_geometry.Scheme.comp_val_c_app AlgebraicGeometry.Scheme.comp_val_c_app
| Mathlib/AlgebraicGeometry/Scheme.lean | 155 | 157 | theorem congr_app {X Y : Scheme} {f g : X ⟶ Y} (e : f = g) (U) :
f.val.c.app U = g.val.c.app U ≫ X.presheaf.map (eqToHom (by subst e; rfl)) := by |
subst e; dsimp; simp
|
import Mathlib.Tactic.NormNum
import Mathlib.Tactic.TryThis
import Mathlib.Util.AtomM
set_option autoImplicit true
namespace Mathlib.Tactic.Abel
open Lean Elab Meta Tactic Qq
initialize registerTraceClass `abel
initialize registerTraceClass `abel.detail
structure Context where
α : Expr
univ : Level
α0 : Expr
isGroup : Bool
inst : Expr
def mkContext (e : Expr) : MetaM Context := do
let α ← inferType e
let c ← synthInstance (← mkAppM ``AddCommMonoid #[α])
let cg ← synthInstance? (← mkAppM ``AddCommGroup #[α])
let u ← mkFreshLevelMVar
_ ← isDefEq (.sort (.succ u)) (← inferType α)
let α0 ← Expr.ofNat α 0
match cg with
| some cg => return ⟨α, u, α0, true, cg⟩
| _ => return ⟨α, u, α0, false, c⟩
abbrev M := ReaderT Context AtomM
def Context.app (c : Context) (n : Name) (inst : Expr) : Array Expr → Expr :=
mkAppN (((@Expr.const n [c.univ]).app c.α).app inst)
def Context.mkApp (c : Context) (n inst : Name) (l : Array Expr) : MetaM Expr := do
return c.app n (← synthInstance ((Expr.const inst [c.univ]).app c.α)) l
def addG : Name → Name
| .str p s => .str p (s ++ "g")
| n => n
def iapp (n : Name) (xs : Array Expr) : M Expr := do
let c ← read
return c.app (if c.isGroup then addG n else n) c.inst xs
def term {α} [AddCommMonoid α] (n : ℕ) (x a : α) : α := n • x + a
def termg {α} [AddCommGroup α] (n : ℤ) (x a : α) : α := n • x + a
def mkTerm (n x a : Expr) : M Expr := iapp ``term #[n, x, a]
def intToExpr (n : ℤ) : M Expr := do
Expr.ofInt (mkConst (if (← read).isGroup then ``Int else ``Nat) []) n
inductive NormalExpr : Type
| zero (e : Expr) : NormalExpr
| nterm (e : Expr) (n : Expr × ℤ) (x : ℕ × Expr) (a : NormalExpr) : NormalExpr
deriving Inhabited
def NormalExpr.e : NormalExpr → Expr
| .zero e => e
| .nterm e .. => e
instance : Coe NormalExpr Expr where coe := NormalExpr.e
def NormalExpr.term' (n : Expr × ℤ) (x : ℕ × Expr) (a : NormalExpr) : M NormalExpr :=
return .nterm (← mkTerm n.1 x.2 a) n x a
def NormalExpr.zero' : M NormalExpr := return NormalExpr.zero (← read).α0
open NormalExpr
theorem const_add_term {α} [AddCommMonoid α] (k n x a a') (h : k + a = a') :
k + @term α _ n x a = term n x a' := by
simp [h.symm, term, add_comm, add_assoc]
theorem const_add_termg {α} [AddCommGroup α] (k n x a a') (h : k + a = a') :
k + @termg α _ n x a = termg n x a' := by
simp [h.symm, termg, add_comm, add_assoc]
theorem term_add_const {α} [AddCommMonoid α] (n x a k a') (h : a + k = a') :
@term α _ n x a + k = term n x a' := by
simp [h.symm, term, add_assoc]
theorem term_add_constg {α} [AddCommGroup α] (n x a k a') (h : a + k = a') :
@termg α _ n x a + k = termg n x a' := by
simp [h.symm, termg, add_assoc]
theorem term_add_term {α} [AddCommMonoid α] (n₁ x a₁ n₂ a₂ n' a') (h₁ : n₁ + n₂ = n')
(h₂ : a₁ + a₂ = a') : @term α _ n₁ x a₁ + @term α _ n₂ x a₂ = term n' x a' := by
simp [h₁.symm, h₂.symm, term, add_nsmul, add_assoc, add_left_comm]
theorem term_add_termg {α} [AddCommGroup α] (n₁ x a₁ n₂ a₂ n' a')
(h₁ : n₁ + n₂ = n') (h₂ : a₁ + a₂ = a') :
@termg α _ n₁ x a₁ + @termg α _ n₂ x a₂ = termg n' x a' := by
simp only [termg, h₁.symm, add_zsmul, h₂.symm]
exact add_add_add_comm (n₁ • x) a₁ (n₂ • x) a₂
theorem zero_term {α} [AddCommMonoid α] (x a) : @term α _ 0 x a = a := by
simp [term, zero_nsmul, one_nsmul]
theorem zero_termg {α} [AddCommGroup α] (x a) : @termg α _ 0 x a = a := by
simp [termg, zero_zsmul]
partial def evalAdd : NormalExpr → NormalExpr → M (NormalExpr × Expr)
| zero _, e₂ => do
let p ← mkAppM ``zero_add #[e₂]
return (e₂, p)
| e₁, zero _ => do
let p ← mkAppM ``add_zero #[e₁]
return (e₁, p)
| he₁@(nterm e₁ n₁ x₁ a₁), he₂@(nterm e₂ n₂ x₂ a₂) => do
if x₁.1 = x₂.1 then
let n' ← Mathlib.Meta.NormNum.eval (← mkAppM ``HAdd.hAdd #[n₁.1, n₂.1])
let (a', h₂) ← evalAdd a₁ a₂
let k := n₁.2 + n₂.2
let p₁ ← iapp ``term_add_term
#[n₁.1, x₁.2, a₁, n₂.1, a₂, n'.expr, a', ← n'.getProof, h₂]
if k = 0 then do
let p ← mkEqTrans p₁ (← iapp ``zero_term #[x₁.2, a'])
return (a', p)
else return (← term' (n'.expr, k) x₁ a', p₁)
else if x₁.1 < x₂.1 then do
let (a', h) ← evalAdd a₁ he₂
return (← term' n₁ x₁ a', ← iapp ``term_add_const #[n₁.1, x₁.2, a₁, e₂, a', h])
else do
let (a', h) ← evalAdd he₁ a₂
return (← term' n₂ x₂ a', ← iapp ``const_add_term #[e₁, n₂.1, x₂.2, a₂, a', h])
theorem term_neg {α} [AddCommGroup α] (n x a n' a')
(h₁ : -n = n') (h₂ : -a = a') : -@termg α _ n x a = termg n' x a' := by
simpa [h₂.symm, h₁.symm, termg] using add_comm _ _
def evalNeg : NormalExpr → M (NormalExpr × Expr)
| (zero _) => do
let p ← (← read).mkApp ``neg_zero ``NegZeroClass #[]
return (← zero', p)
| (nterm _ n x a) => do
let n' ← Mathlib.Meta.NormNum.eval (← mkAppM ``Neg.neg #[n.1])
let (a', h₂) ← evalNeg a
return (← term' (n'.expr, -n.2) x a',
(← read).app ``term_neg (← read).inst #[n.1, x.2, a, n'.expr, a', ← n'.getProof, h₂])
def smul {α} [AddCommMonoid α] (n : ℕ) (x : α) : α := n • x
def smulg {α} [AddCommGroup α] (n : ℤ) (x : α) : α := n • x
theorem zero_smul {α} [AddCommMonoid α] (c) : smul c (0 : α) = 0 := by
simp [smul, nsmul_zero]
theorem zero_smulg {α} [AddCommGroup α] (c) : smulg c (0 : α) = 0 := by
simp [smulg, zsmul_zero]
theorem term_smul {α} [AddCommMonoid α] (c n x a n' a')
(h₁ : c * n = n') (h₂ : smul c a = a') :
smul c (@term α _ n x a) = term n' x a' := by
simp [h₂.symm, h₁.symm, term, smul, nsmul_add, mul_nsmul']
theorem term_smulg {α} [AddCommGroup α] (c n x a n' a')
(h₁ : c * n = n') (h₂ : smulg c a = a') :
smulg c (@termg α _ n x a) = termg n' x a' := by
simp [h₂.symm, h₁.symm, termg, smulg, zsmul_add, mul_zsmul]
def evalSMul (k : Expr × ℤ) : NormalExpr → M (NormalExpr × Expr)
| zero _ => return (← zero', ← iapp ``zero_smul #[k.1])
| nterm _ n x a => do
let n' ← Mathlib.Meta.NormNum.eval (← mkAppM ``HMul.hMul #[k.1, n.1])
let (a', h₂) ← evalSMul k a
return (← term' (n'.expr, k.2 * n.2) x a',
← iapp ``term_smul #[k.1, n.1, x.2, a, n'.expr, a', ← n'.getProof, h₂])
theorem term_atom {α} [AddCommMonoid α] (x : α) : x = term 1 x 0 := by simp [term]
theorem term_atomg {α} [AddCommGroup α] (x : α) : x = termg 1 x 0 := by simp [termg]
theorem term_atom_pf {α} [AddCommMonoid α] (x x' : α) (h : x = x') : x = term 1 x' 0 := by
simp [term, h]
| Mathlib/Tactic/Abel.lean | 241 | 242 | theorem term_atom_pfg {α} [AddCommGroup α] (x x' : α) (h : x = x') : x = termg 1 x' 0 := by |
simp [termg, h]
|
import Mathlib.Combinatorics.SimpleGraph.Finite
import Mathlib.Combinatorics.SimpleGraph.Maps
#align_import combinatorics.simple_graph.subgraph from "leanprover-community/mathlib"@"c6ef6387ede9983aee397d442974e61f89dfd87b"
universe u v
namespace SimpleGraph
@[ext]
structure Subgraph {V : Type u} (G : SimpleGraph V) where
verts : Set V
Adj : V → V → Prop
adj_sub : ∀ {v w : V}, Adj v w → G.Adj v w
edge_vert : ∀ {v w : V}, Adj v w → v ∈ verts
symm : Symmetric Adj := by aesop_graph -- Porting note: Originally `by obviously`
#align simple_graph.subgraph SimpleGraph.Subgraph
initialize_simps_projections SimpleGraph.Subgraph (Adj → adj)
variable {ι : Sort*} {V : Type u} {W : Type v}
@[simps]
protected def singletonSubgraph (G : SimpleGraph V) (v : V) : G.Subgraph where
verts := {v}
Adj := ⊥
adj_sub := False.elim
edge_vert := False.elim
symm _ _ := False.elim
#align simple_graph.singleton_subgraph SimpleGraph.singletonSubgraph
@[simps]
def subgraphOfAdj (G : SimpleGraph V) {v w : V} (hvw : G.Adj v w) : G.Subgraph where
verts := {v, w}
Adj a b := s(v, w) = s(a, b)
adj_sub h := by
rw [← G.mem_edgeSet, ← h]
exact hvw
edge_vert {a b} h := by
apply_fun fun e ↦ a ∈ e at h
simp only [Sym2.mem_iff, true_or, eq_iff_iff, iff_true] at h
exact h
#align simple_graph.subgraph_of_adj SimpleGraph.subgraphOfAdj
namespace Subgraph
variable {G : SimpleGraph V} {G₁ G₂ : G.Subgraph} {a b : V}
protected theorem loopless (G' : Subgraph G) : Irreflexive G'.Adj :=
fun v h ↦ G.loopless v (G'.adj_sub h)
#align simple_graph.subgraph.loopless SimpleGraph.Subgraph.loopless
theorem adj_comm (G' : Subgraph G) (v w : V) : G'.Adj v w ↔ G'.Adj w v :=
⟨fun x ↦ G'.symm x, fun x ↦ G'.symm x⟩
#align simple_graph.subgraph.adj_comm SimpleGraph.Subgraph.adj_comm
@[symm]
theorem adj_symm (G' : Subgraph G) {u v : V} (h : G'.Adj u v) : G'.Adj v u :=
G'.symm h
#align simple_graph.subgraph.adj_symm SimpleGraph.Subgraph.adj_symm
protected theorem Adj.symm {G' : Subgraph G} {u v : V} (h : G'.Adj u v) : G'.Adj v u :=
G'.symm h
#align simple_graph.subgraph.adj.symm SimpleGraph.Subgraph.Adj.symm
protected theorem Adj.adj_sub {H : G.Subgraph} {u v : V} (h : H.Adj u v) : G.Adj u v :=
H.adj_sub h
#align simple_graph.subgraph.adj.adj_sub SimpleGraph.Subgraph.Adj.adj_sub
protected theorem Adj.fst_mem {H : G.Subgraph} {u v : V} (h : H.Adj u v) : u ∈ H.verts :=
H.edge_vert h
#align simple_graph.subgraph.adj.fst_mem SimpleGraph.Subgraph.Adj.fst_mem
protected theorem Adj.snd_mem {H : G.Subgraph} {u v : V} (h : H.Adj u v) : v ∈ H.verts :=
h.symm.fst_mem
#align simple_graph.subgraph.adj.snd_mem SimpleGraph.Subgraph.Adj.snd_mem
protected theorem Adj.ne {H : G.Subgraph} {u v : V} (h : H.Adj u v) : u ≠ v :=
h.adj_sub.ne
#align simple_graph.subgraph.adj.ne SimpleGraph.Subgraph.Adj.ne
@[simps]
protected def coe (G' : Subgraph G) : SimpleGraph G'.verts where
Adj v w := G'.Adj v w
symm _ _ h := G'.symm h
loopless v h := loopless G v (G'.adj_sub h)
#align simple_graph.subgraph.coe SimpleGraph.Subgraph.coe
@[simp]
theorem coe_adj_sub (G' : Subgraph G) (u v : G'.verts) (h : G'.coe.Adj u v) : G.Adj u v :=
G'.adj_sub h
#align simple_graph.subgraph.coe_adj_sub SimpleGraph.Subgraph.coe_adj_sub
-- Given `h : H.Adj u v`, then `h.coe : H.coe.Adj ⟨u, _⟩ ⟨v, _⟩`.
protected theorem Adj.coe {H : G.Subgraph} {u v : V} (h : H.Adj u v) :
H.coe.Adj ⟨u, H.edge_vert h⟩ ⟨v, H.edge_vert h.symm⟩ := h
#align simple_graph.subgraph.adj.coe SimpleGraph.Subgraph.Adj.coe
def IsSpanning (G' : Subgraph G) : Prop :=
∀ v : V, v ∈ G'.verts
#align simple_graph.subgraph.is_spanning SimpleGraph.Subgraph.IsSpanning
theorem isSpanning_iff {G' : Subgraph G} : G'.IsSpanning ↔ G'.verts = Set.univ :=
Set.eq_univ_iff_forall.symm
#align simple_graph.subgraph.is_spanning_iff SimpleGraph.Subgraph.isSpanning_iff
@[simps]
protected def spanningCoe (G' : Subgraph G) : SimpleGraph V where
Adj := G'.Adj
symm := G'.symm
loopless v hv := G.loopless v (G'.adj_sub hv)
#align simple_graph.subgraph.spanning_coe SimpleGraph.Subgraph.spanningCoe
@[simp]
theorem Adj.of_spanningCoe {G' : Subgraph G} {u v : G'.verts} (h : G'.spanningCoe.Adj u v) :
G.Adj u v :=
G'.adj_sub h
#align simple_graph.subgraph.adj.of_spanning_coe SimpleGraph.Subgraph.Adj.of_spanningCoe
theorem spanningCoe_inj : G₁.spanningCoe = G₂.spanningCoe ↔ G₁.Adj = G₂.Adj := by
simp [Subgraph.spanningCoe]
#align simple_graph.subgraph.spanning_coe_inj SimpleGraph.Subgraph.spanningCoe_inj
@[simps]
def spanningCoeEquivCoeOfSpanning (G' : Subgraph G) (h : G'.IsSpanning) :
G'.spanningCoe ≃g G'.coe where
toFun v := ⟨v, h v⟩
invFun v := v
left_inv _ := rfl
right_inv _ := rfl
map_rel_iff' := Iff.rfl
#align simple_graph.subgraph.spanning_coe_equiv_coe_of_spanning SimpleGraph.Subgraph.spanningCoeEquivCoeOfSpanning
def IsInduced (G' : Subgraph G) : Prop :=
∀ {v w : V}, v ∈ G'.verts → w ∈ G'.verts → G.Adj v w → G'.Adj v w
#align simple_graph.subgraph.is_induced SimpleGraph.Subgraph.IsInduced
def support (H : Subgraph G) : Set V := Rel.dom H.Adj
#align simple_graph.subgraph.support SimpleGraph.Subgraph.support
theorem mem_support (H : Subgraph G) {v : V} : v ∈ H.support ↔ ∃ w, H.Adj v w := Iff.rfl
#align simple_graph.subgraph.mem_support SimpleGraph.Subgraph.mem_support
theorem support_subset_verts (H : Subgraph G) : H.support ⊆ H.verts :=
fun _ ⟨_, h⟩ ↦ H.edge_vert h
#align simple_graph.subgraph.support_subset_verts SimpleGraph.Subgraph.support_subset_verts
def neighborSet (G' : Subgraph G) (v : V) : Set V := {w | G'.Adj v w}
#align simple_graph.subgraph.neighbor_set SimpleGraph.Subgraph.neighborSet
theorem neighborSet_subset (G' : Subgraph G) (v : V) : G'.neighborSet v ⊆ G.neighborSet v :=
fun _ ↦ G'.adj_sub
#align simple_graph.subgraph.neighbor_set_subset SimpleGraph.Subgraph.neighborSet_subset
theorem neighborSet_subset_verts (G' : Subgraph G) (v : V) : G'.neighborSet v ⊆ G'.verts :=
fun _ h ↦ G'.edge_vert (adj_symm G' h)
#align simple_graph.subgraph.neighbor_set_subset_verts SimpleGraph.Subgraph.neighborSet_subset_verts
@[simp]
theorem mem_neighborSet (G' : Subgraph G) (v w : V) : w ∈ G'.neighborSet v ↔ G'.Adj v w := Iff.rfl
#align simple_graph.subgraph.mem_neighbor_set SimpleGraph.Subgraph.mem_neighborSet
def coeNeighborSetEquiv {G' : Subgraph G} (v : G'.verts) :
G'.coe.neighborSet v ≃ G'.neighborSet v where
toFun w := ⟨w, w.2⟩
invFun w := ⟨⟨w, G'.edge_vert (G'.adj_symm w.2)⟩, w.2⟩
left_inv _ := rfl
right_inv _ := rfl
#align simple_graph.subgraph.coe_neighbor_set_equiv SimpleGraph.Subgraph.coeNeighborSetEquiv
def edgeSet (G' : Subgraph G) : Set (Sym2 V) := Sym2.fromRel G'.symm
#align simple_graph.subgraph.edge_set SimpleGraph.Subgraph.edgeSet
theorem edgeSet_subset (G' : Subgraph G) : G'.edgeSet ⊆ G.edgeSet :=
Sym2.ind (fun _ _ ↦ G'.adj_sub)
#align simple_graph.subgraph.edge_set_subset SimpleGraph.Subgraph.edgeSet_subset
@[simp]
theorem mem_edgeSet {G' : Subgraph G} {v w : V} : s(v, w) ∈ G'.edgeSet ↔ G'.Adj v w := Iff.rfl
#align simple_graph.subgraph.mem_edge_set SimpleGraph.Subgraph.mem_edgeSet
theorem mem_verts_if_mem_edge {G' : Subgraph G} {e : Sym2 V} {v : V} (he : e ∈ G'.edgeSet)
(hv : v ∈ e) : v ∈ G'.verts := by
revert hv
refine Sym2.ind (fun v w he ↦ ?_) e he
intro hv
rcases Sym2.mem_iff.mp hv with (rfl | rfl)
· exact G'.edge_vert he
· exact G'.edge_vert (G'.symm he)
#align simple_graph.subgraph.mem_verts_if_mem_edge SimpleGraph.Subgraph.mem_verts_if_mem_edge
def incidenceSet (G' : Subgraph G) (v : V) : Set (Sym2 V) := {e ∈ G'.edgeSet | v ∈ e}
#align simple_graph.subgraph.incidence_set SimpleGraph.Subgraph.incidenceSet
theorem incidenceSet_subset_incidenceSet (G' : Subgraph G) (v : V) :
G'.incidenceSet v ⊆ G.incidenceSet v :=
fun _ h ↦ ⟨G'.edgeSet_subset h.1, h.2⟩
#align simple_graph.subgraph.incidence_set_subset_incidence_set SimpleGraph.Subgraph.incidenceSet_subset_incidenceSet
theorem incidenceSet_subset (G' : Subgraph G) (v : V) : G'.incidenceSet v ⊆ G'.edgeSet :=
fun _ h ↦ h.1
#align simple_graph.subgraph.incidence_set_subset SimpleGraph.Subgraph.incidenceSet_subset
abbrev vert (G' : Subgraph G) (v : V) (h : v ∈ G'.verts) : G'.verts := ⟨v, h⟩
#align simple_graph.subgraph.vert SimpleGraph.Subgraph.vert
def copy (G' : Subgraph G) (V'' : Set V) (hV : V'' = G'.verts)
(adj' : V → V → Prop) (hadj : adj' = G'.Adj) : Subgraph G where
verts := V''
Adj := adj'
adj_sub := hadj.symm ▸ G'.adj_sub
edge_vert := hV.symm ▸ hadj.symm ▸ G'.edge_vert
symm := hadj.symm ▸ G'.symm
#align simple_graph.subgraph.copy SimpleGraph.Subgraph.copy
theorem copy_eq (G' : Subgraph G) (V'' : Set V) (hV : V'' = G'.verts)
(adj' : V → V → Prop) (hadj : adj' = G'.Adj) : G'.copy V'' hV adj' hadj = G' :=
Subgraph.ext _ _ hV hadj
#align simple_graph.subgraph.copy_eq SimpleGraph.Subgraph.copy_eq
instance : Sup G.Subgraph where
sup G₁ G₂ :=
{ verts := G₁.verts ∪ G₂.verts
Adj := G₁.Adj ⊔ G₂.Adj
adj_sub := fun hab => Or.elim hab (fun h => G₁.adj_sub h) fun h => G₂.adj_sub h
edge_vert := Or.imp (fun h => G₁.edge_vert h) fun h => G₂.edge_vert h
symm := fun _ _ => Or.imp G₁.adj_symm G₂.adj_symm }
instance : Inf G.Subgraph where
inf G₁ G₂ :=
{ verts := G₁.verts ∩ G₂.verts
Adj := G₁.Adj ⊓ G₂.Adj
adj_sub := fun hab => G₁.adj_sub hab.1
edge_vert := And.imp (fun h => G₁.edge_vert h) fun h => G₂.edge_vert h
symm := fun _ _ => And.imp G₁.adj_symm G₂.adj_symm }
instance : Top G.Subgraph where
top :=
{ verts := Set.univ
Adj := G.Adj
adj_sub := id
edge_vert := @fun v _ _ => Set.mem_univ v
symm := G.symm }
instance : Bot G.Subgraph where
bot :=
{ verts := ∅
Adj := ⊥
adj_sub := False.elim
edge_vert := False.elim
symm := fun _ _ => id }
instance : SupSet G.Subgraph where
sSup s :=
{ verts := ⋃ G' ∈ s, verts G'
Adj := fun a b => ∃ G' ∈ s, Adj G' a b
adj_sub := by
rintro a b ⟨G', -, hab⟩
exact G'.adj_sub hab
edge_vert := by
rintro a b ⟨G', hG', hab⟩
exact Set.mem_iUnion₂_of_mem hG' (G'.edge_vert hab)
symm := fun a b h => by simpa [adj_comm] using h }
instance : InfSet G.Subgraph where
sInf s :=
{ verts := ⋂ G' ∈ s, verts G'
Adj := fun a b => (∀ ⦃G'⦄, G' ∈ s → Adj G' a b) ∧ G.Adj a b
adj_sub := And.right
edge_vert := fun hab => Set.mem_iInter₂_of_mem fun G' hG' => G'.edge_vert <| hab.1 hG'
symm := fun _ _ => And.imp (forall₂_imp fun _ _ => Adj.symm) G.adj_symm }
@[simp]
theorem sup_adj : (G₁ ⊔ G₂).Adj a b ↔ G₁.Adj a b ∨ G₂.Adj a b :=
Iff.rfl
#align simple_graph.subgraph.sup_adj SimpleGraph.Subgraph.sup_adj
@[simp]
theorem inf_adj : (G₁ ⊓ G₂).Adj a b ↔ G₁.Adj a b ∧ G₂.Adj a b :=
Iff.rfl
#align simple_graph.subgraph.inf_adj SimpleGraph.Subgraph.inf_adj
@[simp]
theorem top_adj : (⊤ : Subgraph G).Adj a b ↔ G.Adj a b :=
Iff.rfl
#align simple_graph.subgraph.top_adj SimpleGraph.Subgraph.top_adj
@[simp]
theorem not_bot_adj : ¬ (⊥ : Subgraph G).Adj a b :=
not_false
#align simple_graph.subgraph.not_bot_adj SimpleGraph.Subgraph.not_bot_adj
@[simp]
theorem verts_sup (G₁ G₂ : G.Subgraph) : (G₁ ⊔ G₂).verts = G₁.verts ∪ G₂.verts :=
rfl
#align simple_graph.subgraph.verts_sup SimpleGraph.Subgraph.verts_sup
@[simp]
theorem verts_inf (G₁ G₂ : G.Subgraph) : (G₁ ⊓ G₂).verts = G₁.verts ∩ G₂.verts :=
rfl
#align simple_graph.subgraph.verts_inf SimpleGraph.Subgraph.verts_inf
@[simp]
theorem verts_top : (⊤ : G.Subgraph).verts = Set.univ :=
rfl
#align simple_graph.subgraph.verts_top SimpleGraph.Subgraph.verts_top
@[simp]
theorem verts_bot : (⊥ : G.Subgraph).verts = ∅ :=
rfl
#align simple_graph.subgraph.verts_bot SimpleGraph.Subgraph.verts_bot
@[simp]
theorem sSup_adj {s : Set G.Subgraph} : (sSup s).Adj a b ↔ ∃ G ∈ s, Adj G a b :=
Iff.rfl
#align simple_graph.subgraph.Sup_adj SimpleGraph.Subgraph.sSup_adj
@[simp]
theorem sInf_adj {s : Set G.Subgraph} : (sInf s).Adj a b ↔ (∀ G' ∈ s, Adj G' a b) ∧ G.Adj a b :=
Iff.rfl
#align simple_graph.subgraph.Inf_adj SimpleGraph.Subgraph.sInf_adj
@[simp]
theorem iSup_adj {f : ι → G.Subgraph} : (⨆ i, f i).Adj a b ↔ ∃ i, (f i).Adj a b := by
simp [iSup]
#align simple_graph.subgraph.supr_adj SimpleGraph.Subgraph.iSup_adj
@[simp]
theorem iInf_adj {f : ι → G.Subgraph} : (⨅ i, f i).Adj a b ↔ (∀ i, (f i).Adj a b) ∧ G.Adj a b := by
simp [iInf]
#align simple_graph.subgraph.infi_adj SimpleGraph.Subgraph.iInf_adj
theorem sInf_adj_of_nonempty {s : Set G.Subgraph} (hs : s.Nonempty) :
(sInf s).Adj a b ↔ ∀ G' ∈ s, Adj G' a b :=
sInf_adj.trans <|
and_iff_left_of_imp <| by
obtain ⟨G', hG'⟩ := hs
exact fun h => G'.adj_sub (h _ hG')
#align simple_graph.subgraph.Inf_adj_of_nonempty SimpleGraph.Subgraph.sInf_adj_of_nonempty
theorem iInf_adj_of_nonempty [Nonempty ι] {f : ι → G.Subgraph} :
(⨅ i, f i).Adj a b ↔ ∀ i, (f i).Adj a b := by
rw [iInf, sInf_adj_of_nonempty (Set.range_nonempty _)]
simp
#align simple_graph.subgraph.infi_adj_of_nonempty SimpleGraph.Subgraph.iInf_adj_of_nonempty
@[simp]
theorem verts_sSup (s : Set G.Subgraph) : (sSup s).verts = ⋃ G' ∈ s, verts G' :=
rfl
#align simple_graph.subgraph.verts_Sup SimpleGraph.Subgraph.verts_sSup
@[simp]
theorem verts_sInf (s : Set G.Subgraph) : (sInf s).verts = ⋂ G' ∈ s, verts G' :=
rfl
#align simple_graph.subgraph.verts_Inf SimpleGraph.Subgraph.verts_sInf
@[simp]
theorem verts_iSup {f : ι → G.Subgraph} : (⨆ i, f i).verts = ⋃ i, (f i).verts := by simp [iSup]
#align simple_graph.subgraph.verts_supr SimpleGraph.Subgraph.verts_iSup
@[simp]
theorem verts_iInf {f : ι → G.Subgraph} : (⨅ i, f i).verts = ⋂ i, (f i).verts := by simp [iInf]
#align simple_graph.subgraph.verts_infi SimpleGraph.Subgraph.verts_iInf
theorem verts_spanningCoe_injective :
(fun G' : Subgraph G => (G'.verts, G'.spanningCoe)).Injective := by
intro G₁ G₂ h
rw [Prod.ext_iff] at h
exact Subgraph.ext _ _ h.1 (spanningCoe_inj.1 h.2)
instance distribLattice : DistribLattice G.Subgraph :=
{ show DistribLattice G.Subgraph from
verts_spanningCoe_injective.distribLattice _
(fun _ _ => rfl) fun _ _ => rfl with
le := fun x y => x.verts ⊆ y.verts ∧ ∀ ⦃v w : V⦄, x.Adj v w → y.Adj v w }
instance : BoundedOrder (Subgraph G) where
top := ⊤
bot := ⊥
le_top x := ⟨Set.subset_univ _, fun _ _ => x.adj_sub⟩
bot_le _ := ⟨Set.empty_subset _, fun _ _ => False.elim⟩
-- Note that subgraphs do not form a Boolean algebra, because of `verts`.
instance : CompletelyDistribLattice G.Subgraph :=
{ Subgraph.distribLattice with
le := (· ≤ ·)
sup := (· ⊔ ·)
inf := (· ⊓ ·)
top := ⊤
bot := ⊥
le_top := fun G' => ⟨Set.subset_univ _, fun a b => G'.adj_sub⟩
bot_le := fun G' => ⟨Set.empty_subset _, fun a b => False.elim⟩
sSup := sSup
-- Porting note: needed `apply` here to modify elaboration; previously the term itself was fine.
le_sSup := fun s G' hG' => ⟨by apply Set.subset_iUnion₂ G' hG', fun a b hab => ⟨G', hG', hab⟩⟩
sSup_le := fun s G' hG' =>
⟨Set.iUnion₂_subset fun H hH => (hG' _ hH).1, by
rintro a b ⟨H, hH, hab⟩
exact (hG' _ hH).2 hab⟩
sInf := sInf
sInf_le := fun s G' hG' => ⟨Set.iInter₂_subset G' hG', fun a b hab => hab.1 hG'⟩
le_sInf := fun s G' hG' =>
⟨Set.subset_iInter₂ fun H hH => (hG' _ hH).1, fun a b hab =>
⟨fun H hH => (hG' _ hH).2 hab, G'.adj_sub hab⟩⟩
iInf_iSup_eq := fun f => Subgraph.ext _ _ (by simpa using iInf_iSup_eq)
(by ext; simp [Classical.skolem]) }
@[simps]
instance subgraphInhabited : Inhabited (Subgraph G) := ⟨⊥⟩
#align simple_graph.subgraph.subgraph_inhabited SimpleGraph.Subgraph.subgraphInhabited
@[simp]
theorem neighborSet_sup {H H' : G.Subgraph} (v : V) :
(H ⊔ H').neighborSet v = H.neighborSet v ∪ H'.neighborSet v := rfl
#align simple_graph.subgraph.neighbor_set_sup SimpleGraph.Subgraph.neighborSet_sup
@[simp]
theorem neighborSet_inf {H H' : G.Subgraph} (v : V) :
(H ⊓ H').neighborSet v = H.neighborSet v ∩ H'.neighborSet v := rfl
#align simple_graph.subgraph.neighbor_set_inf SimpleGraph.Subgraph.neighborSet_inf
@[simp]
theorem neighborSet_top (v : V) : (⊤ : G.Subgraph).neighborSet v = G.neighborSet v := rfl
#align simple_graph.subgraph.neighbor_set_top SimpleGraph.Subgraph.neighborSet_top
@[simp]
theorem neighborSet_bot (v : V) : (⊥ : G.Subgraph).neighborSet v = ∅ := rfl
#align simple_graph.subgraph.neighbor_set_bot SimpleGraph.Subgraph.neighborSet_bot
@[simp]
theorem neighborSet_sSup (s : Set G.Subgraph) (v : V) :
(sSup s).neighborSet v = ⋃ G' ∈ s, neighborSet G' v := by
ext
simp
#align simple_graph.subgraph.neighbor_set_Sup SimpleGraph.Subgraph.neighborSet_sSup
@[simp]
theorem neighborSet_sInf (s : Set G.Subgraph) (v : V) :
(sInf s).neighborSet v = (⋂ G' ∈ s, neighborSet G' v) ∩ G.neighborSet v := by
ext
simp
#align simple_graph.subgraph.neighbor_set_Inf SimpleGraph.Subgraph.neighborSet_sInf
@[simp]
theorem neighborSet_iSup (f : ι → G.Subgraph) (v : V) :
(⨆ i, f i).neighborSet v = ⋃ i, (f i).neighborSet v := by simp [iSup]
#align simple_graph.subgraph.neighbor_set_supr SimpleGraph.Subgraph.neighborSet_iSup
@[simp]
| Mathlib/Combinatorics/SimpleGraph/Subgraph.lean | 526 | 527 | theorem neighborSet_iInf (f : ι → G.Subgraph) (v : V) :
(⨅ i, f i).neighborSet v = (⋂ i, (f i).neighborSet v) ∩ G.neighborSet v := by | simp [iInf]
|
import Mathlib.Analysis.Calculus.ContDiff.Defs
import Mathlib.Analysis.Calculus.FDeriv.Add
import Mathlib.Analysis.Calculus.FDeriv.Mul
import Mathlib.Analysis.Calculus.Deriv.Inverse
#align_import analysis.calculus.cont_diff from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe"
noncomputable section
open scoped Classical NNReal Nat
local notation "∞" => (⊤ : ℕ∞)
universe u v w uD uE uF uG
attribute [local instance 1001]
NormedAddCommGroup.toAddCommGroup NormedSpace.toModule' AddCommGroup.toAddCommMonoid
open Set Fin Filter Function
open scoped Topology
variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {D : Type uD} [NormedAddCommGroup D]
[NormedSpace 𝕜 D] {E : Type uE} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {F : Type uF}
[NormedAddCommGroup F] [NormedSpace 𝕜 F] {G : Type uG} [NormedAddCommGroup G] [NormedSpace 𝕜 G]
{X : Type*} [NormedAddCommGroup X] [NormedSpace 𝕜 X] {s s₁ t u : Set E} {f f₁ : E → F}
{g : F → G} {x x₀ : E} {c : F} {b : E × F → G} {m n : ℕ∞} {p : E → FormalMultilinearSeries 𝕜 E F}
@[simp]
theorem iteratedFDerivWithin_zero_fun (hs : UniqueDiffOn 𝕜 s) (hx : x ∈ s) {i : ℕ} :
iteratedFDerivWithin 𝕜 i (fun _ : E ↦ (0 : F)) s x = 0 := by
induction i generalizing x with
| zero => ext; simp
| succ i IH =>
ext m
rw [iteratedFDerivWithin_succ_apply_left, fderivWithin_congr (fun _ ↦ IH) (IH hx)]
rw [fderivWithin_const_apply _ (hs x hx)]
rfl
@[simp]
theorem iteratedFDeriv_zero_fun {n : ℕ} : (iteratedFDeriv 𝕜 n fun _ : E ↦ (0 : F)) = 0 :=
funext fun x ↦ by simpa [← iteratedFDerivWithin_univ] using
iteratedFDerivWithin_zero_fun uniqueDiffOn_univ (mem_univ x)
#align iterated_fderiv_zero_fun iteratedFDeriv_zero_fun
theorem contDiff_zero_fun : ContDiff 𝕜 n fun _ : E => (0 : F) :=
contDiff_of_differentiable_iteratedFDeriv fun m _ => by
rw [iteratedFDeriv_zero_fun]
exact differentiable_const (0 : E[×m]→L[𝕜] F)
#align cont_diff_zero_fun contDiff_zero_fun
theorem contDiff_const {c : F} : ContDiff 𝕜 n fun _ : E => c := by
suffices h : ContDiff 𝕜 ∞ fun _ : E => c from h.of_le le_top
rw [contDiff_top_iff_fderiv]
refine ⟨differentiable_const c, ?_⟩
rw [fderiv_const]
exact contDiff_zero_fun
#align cont_diff_const contDiff_const
theorem contDiffOn_const {c : F} {s : Set E} : ContDiffOn 𝕜 n (fun _ : E => c) s :=
contDiff_const.contDiffOn
#align cont_diff_on_const contDiffOn_const
theorem contDiffAt_const {c : F} : ContDiffAt 𝕜 n (fun _ : E => c) x :=
contDiff_const.contDiffAt
#align cont_diff_at_const contDiffAt_const
theorem contDiffWithinAt_const {c : F} : ContDiffWithinAt 𝕜 n (fun _ : E => c) s x :=
contDiffAt_const.contDiffWithinAt
#align cont_diff_within_at_const contDiffWithinAt_const
@[nontriviality]
theorem contDiff_of_subsingleton [Subsingleton F] : ContDiff 𝕜 n f := by
rw [Subsingleton.elim f fun _ => 0]; exact contDiff_const
#align cont_diff_of_subsingleton contDiff_of_subsingleton
@[nontriviality]
theorem contDiffAt_of_subsingleton [Subsingleton F] : ContDiffAt 𝕜 n f x := by
rw [Subsingleton.elim f fun _ => 0]; exact contDiffAt_const
#align cont_diff_at_of_subsingleton contDiffAt_of_subsingleton
@[nontriviality]
theorem contDiffWithinAt_of_subsingleton [Subsingleton F] : ContDiffWithinAt 𝕜 n f s x := by
rw [Subsingleton.elim f fun _ => 0]; exact contDiffWithinAt_const
#align cont_diff_within_at_of_subsingleton contDiffWithinAt_of_subsingleton
@[nontriviality]
theorem contDiffOn_of_subsingleton [Subsingleton F] : ContDiffOn 𝕜 n f s := by
rw [Subsingleton.elim f fun _ => 0]; exact contDiffOn_const
#align cont_diff_on_of_subsingleton contDiffOn_of_subsingleton
theorem iteratedFDerivWithin_succ_const (n : ℕ) (c : F) (hs : UniqueDiffOn 𝕜 s) (hx : x ∈ s) :
iteratedFDerivWithin 𝕜 (n + 1) (fun _ : E ↦ c) s x = 0 := by
ext m
rw [iteratedFDerivWithin_succ_apply_right hs hx]
rw [iteratedFDerivWithin_congr (fun y hy ↦ fderivWithin_const_apply c (hs y hy)) hx]
rw [iteratedFDerivWithin_zero_fun hs hx]
simp [ContinuousMultilinearMap.zero_apply (R := 𝕜)]
theorem iteratedFDeriv_succ_const (n : ℕ) (c : F) :
(iteratedFDeriv 𝕜 (n + 1) fun _ : E ↦ c) = 0 :=
funext fun x ↦ by simpa [← iteratedFDerivWithin_univ] using
iteratedFDerivWithin_succ_const n c uniqueDiffOn_univ (mem_univ x)
#align iterated_fderiv_succ_const iteratedFDeriv_succ_const
theorem iteratedFDerivWithin_const_of_ne {n : ℕ} (hn : n ≠ 0) (c : F)
(hs : UniqueDiffOn 𝕜 s) (hx : x ∈ s) :
iteratedFDerivWithin 𝕜 n (fun _ : E ↦ c) s x = 0 := by
cases n with
| zero => contradiction
| succ n => exact iteratedFDerivWithin_succ_const n c hs hx
theorem iteratedFDeriv_const_of_ne {n : ℕ} (hn : n ≠ 0) (c : F) :
(iteratedFDeriv 𝕜 n fun _ : E ↦ c) = 0 :=
funext fun x ↦ by simpa [← iteratedFDerivWithin_univ] using
iteratedFDerivWithin_const_of_ne hn c uniqueDiffOn_univ (mem_univ x)
#align iterated_fderiv_const_of_ne iteratedFDeriv_const_of_ne
theorem IsBoundedLinearMap.contDiff (hf : IsBoundedLinearMap 𝕜 f) : ContDiff 𝕜 n f := by
suffices h : ContDiff 𝕜 ∞ f from h.of_le le_top
rw [contDiff_top_iff_fderiv]
refine ⟨hf.differentiable, ?_⟩
simp_rw [hf.fderiv]
exact contDiff_const
#align is_bounded_linear_map.cont_diff IsBoundedLinearMap.contDiff
theorem ContinuousLinearMap.contDiff (f : E →L[𝕜] F) : ContDiff 𝕜 n f :=
f.isBoundedLinearMap.contDiff
#align continuous_linear_map.cont_diff ContinuousLinearMap.contDiff
theorem ContinuousLinearEquiv.contDiff (f : E ≃L[𝕜] F) : ContDiff 𝕜 n f :=
(f : E →L[𝕜] F).contDiff
#align continuous_linear_equiv.cont_diff ContinuousLinearEquiv.contDiff
theorem LinearIsometry.contDiff (f : E →ₗᵢ[𝕜] F) : ContDiff 𝕜 n f :=
f.toContinuousLinearMap.contDiff
#align linear_isometry.cont_diff LinearIsometry.contDiff
theorem LinearIsometryEquiv.contDiff (f : E ≃ₗᵢ[𝕜] F) : ContDiff 𝕜 n f :=
(f : E →L[𝕜] F).contDiff
#align linear_isometry_equiv.cont_diff LinearIsometryEquiv.contDiff
theorem contDiff_id : ContDiff 𝕜 n (id : E → E) :=
IsBoundedLinearMap.id.contDiff
#align cont_diff_id contDiff_id
theorem contDiffWithinAt_id {s x} : ContDiffWithinAt 𝕜 n (id : E → E) s x :=
contDiff_id.contDiffWithinAt
#align cont_diff_within_at_id contDiffWithinAt_id
theorem contDiffAt_id {x} : ContDiffAt 𝕜 n (id : E → E) x :=
contDiff_id.contDiffAt
#align cont_diff_at_id contDiffAt_id
theorem contDiffOn_id {s} : ContDiffOn 𝕜 n (id : E → E) s :=
contDiff_id.contDiffOn
#align cont_diff_on_id contDiffOn_id
theorem IsBoundedBilinearMap.contDiff (hb : IsBoundedBilinearMap 𝕜 b) : ContDiff 𝕜 n b := by
suffices h : ContDiff 𝕜 ∞ b from h.of_le le_top
rw [contDiff_top_iff_fderiv]
refine ⟨hb.differentiable, ?_⟩
simp only [hb.fderiv]
exact hb.isBoundedLinearMap_deriv.contDiff
#align is_bounded_bilinear_map.cont_diff IsBoundedBilinearMap.contDiff
theorem HasFTaylorSeriesUpToOn.continuousLinearMap_comp (g : F →L[𝕜] G)
(hf : HasFTaylorSeriesUpToOn n f p s) :
HasFTaylorSeriesUpToOn n (g ∘ f) (fun x k => g.compContinuousMultilinearMap (p x k)) s where
zero_eq x hx := congr_arg g (hf.zero_eq x hx)
fderivWithin m hm x hx := (ContinuousLinearMap.compContinuousMultilinearMapL 𝕜
(fun _ : Fin m => E) F G g).hasFDerivAt.comp_hasFDerivWithinAt x (hf.fderivWithin m hm x hx)
cont m hm := (ContinuousLinearMap.compContinuousMultilinearMapL 𝕜
(fun _ : Fin m => E) F G g).continuous.comp_continuousOn (hf.cont m hm)
#align has_ftaylor_series_up_to_on.continuous_linear_map_comp HasFTaylorSeriesUpToOn.continuousLinearMap_comp
theorem ContDiffWithinAt.continuousLinearMap_comp (g : F →L[𝕜] G)
(hf : ContDiffWithinAt 𝕜 n f s x) : ContDiffWithinAt 𝕜 n (g ∘ f) s x := fun m hm ↦ by
rcases hf m hm with ⟨u, hu, p, hp⟩
exact ⟨u, hu, _, hp.continuousLinearMap_comp g⟩
#align cont_diff_within_at.continuous_linear_map_comp ContDiffWithinAt.continuousLinearMap_comp
theorem ContDiffAt.continuousLinearMap_comp (g : F →L[𝕜] G) (hf : ContDiffAt 𝕜 n f x) :
ContDiffAt 𝕜 n (g ∘ f) x :=
ContDiffWithinAt.continuousLinearMap_comp g hf
#align cont_diff_at.continuous_linear_map_comp ContDiffAt.continuousLinearMap_comp
theorem ContDiffOn.continuousLinearMap_comp (g : F →L[𝕜] G) (hf : ContDiffOn 𝕜 n f s) :
ContDiffOn 𝕜 n (g ∘ f) s := fun x hx => (hf x hx).continuousLinearMap_comp g
#align cont_diff_on.continuous_linear_map_comp ContDiffOn.continuousLinearMap_comp
theorem ContDiff.continuousLinearMap_comp {f : E → F} (g : F →L[𝕜] G) (hf : ContDiff 𝕜 n f) :
ContDiff 𝕜 n fun x => g (f x) :=
contDiffOn_univ.1 <| ContDiffOn.continuousLinearMap_comp _ (contDiffOn_univ.2 hf)
#align cont_diff.continuous_linear_map_comp ContDiff.continuousLinearMap_comp
theorem ContinuousLinearMap.iteratedFDerivWithin_comp_left {f : E → F} (g : F →L[𝕜] G)
(hf : ContDiffOn 𝕜 n f s) (hs : UniqueDiffOn 𝕜 s) (hx : x ∈ s) {i : ℕ} (hi : (i : ℕ∞) ≤ n) :
iteratedFDerivWithin 𝕜 i (g ∘ f) s x =
g.compContinuousMultilinearMap (iteratedFDerivWithin 𝕜 i f s x) :=
(((hf.ftaylorSeriesWithin hs).continuousLinearMap_comp g).eq_iteratedFDerivWithin_of_uniqueDiffOn
hi hs hx).symm
#align continuous_linear_map.iterated_fderiv_within_comp_left ContinuousLinearMap.iteratedFDerivWithin_comp_left
theorem ContinuousLinearMap.iteratedFDeriv_comp_left {f : E → F} (g : F →L[𝕜] G)
(hf : ContDiff 𝕜 n f) (x : E) {i : ℕ} (hi : (i : ℕ∞) ≤ n) :
iteratedFDeriv 𝕜 i (g ∘ f) x = g.compContinuousMultilinearMap (iteratedFDeriv 𝕜 i f x) := by
simp only [← iteratedFDerivWithin_univ]
exact g.iteratedFDerivWithin_comp_left hf.contDiffOn uniqueDiffOn_univ (mem_univ x) hi
#align continuous_linear_map.iterated_fderiv_comp_left ContinuousLinearMap.iteratedFDeriv_comp_left
theorem ContinuousLinearEquiv.iteratedFDerivWithin_comp_left (g : F ≃L[𝕜] G) (f : E → F)
(hs : UniqueDiffOn 𝕜 s) (hx : x ∈ s) (i : ℕ) :
iteratedFDerivWithin 𝕜 i (g ∘ f) s x =
(g : F →L[𝕜] G).compContinuousMultilinearMap (iteratedFDerivWithin 𝕜 i f s x) := by
induction' i with i IH generalizing x
· ext1 m
simp only [Nat.zero_eq, iteratedFDerivWithin_zero_apply, comp_apply,
ContinuousLinearMap.compContinuousMultilinearMap_coe, coe_coe]
· ext1 m
rw [iteratedFDerivWithin_succ_apply_left]
have Z : fderivWithin 𝕜 (iteratedFDerivWithin 𝕜 i (g ∘ f) s) s x =
fderivWithin 𝕜 (g.compContinuousMultilinearMapL (fun _ : Fin i => E) ∘
iteratedFDerivWithin 𝕜 i f s) s x :=
fderivWithin_congr' (@IH) hx
simp_rw [Z]
rw [(g.compContinuousMultilinearMapL fun _ : Fin i => E).comp_fderivWithin (hs x hx)]
simp only [ContinuousLinearMap.coe_comp', ContinuousLinearEquiv.coe_coe, comp_apply,
ContinuousLinearEquiv.compContinuousMultilinearMapL_apply,
ContinuousLinearMap.compContinuousMultilinearMap_coe, EmbeddingLike.apply_eq_iff_eq]
rw [iteratedFDerivWithin_succ_apply_left]
#align continuous_linear_equiv.iterated_fderiv_within_comp_left ContinuousLinearEquiv.iteratedFDerivWithin_comp_left
theorem LinearIsometry.norm_iteratedFDerivWithin_comp_left {f : E → F} (g : F →ₗᵢ[𝕜] G)
(hf : ContDiffOn 𝕜 n f s) (hs : UniqueDiffOn 𝕜 s) (hx : x ∈ s) {i : ℕ} (hi : (i : ℕ∞) ≤ n) :
‖iteratedFDerivWithin 𝕜 i (g ∘ f) s x‖ = ‖iteratedFDerivWithin 𝕜 i f s x‖ := by
have :
iteratedFDerivWithin 𝕜 i (g ∘ f) s x =
g.toContinuousLinearMap.compContinuousMultilinearMap (iteratedFDerivWithin 𝕜 i f s x) :=
g.toContinuousLinearMap.iteratedFDerivWithin_comp_left hf hs hx hi
rw [this]
apply LinearIsometry.norm_compContinuousMultilinearMap
#align linear_isometry.norm_iterated_fderiv_within_comp_left LinearIsometry.norm_iteratedFDerivWithin_comp_left
theorem LinearIsometry.norm_iteratedFDeriv_comp_left {f : E → F} (g : F →ₗᵢ[𝕜] G)
(hf : ContDiff 𝕜 n f) (x : E) {i : ℕ} (hi : (i : ℕ∞) ≤ n) :
‖iteratedFDeriv 𝕜 i (g ∘ f) x‖ = ‖iteratedFDeriv 𝕜 i f x‖ := by
simp only [← iteratedFDerivWithin_univ]
exact g.norm_iteratedFDerivWithin_comp_left hf.contDiffOn uniqueDiffOn_univ (mem_univ x) hi
#align linear_isometry.norm_iterated_fderiv_comp_left LinearIsometry.norm_iteratedFDeriv_comp_left
| Mathlib/Analysis/Calculus/ContDiff/Basic.lean | 315 | 323 | theorem LinearIsometryEquiv.norm_iteratedFDerivWithin_comp_left (g : F ≃ₗᵢ[𝕜] G) (f : E → F)
(hs : UniqueDiffOn 𝕜 s) (hx : x ∈ s) (i : ℕ) :
‖iteratedFDerivWithin 𝕜 i (g ∘ f) s x‖ = ‖iteratedFDerivWithin 𝕜 i f s x‖ := by |
have :
iteratedFDerivWithin 𝕜 i (g ∘ f) s x =
(g : F →L[𝕜] G).compContinuousMultilinearMap (iteratedFDerivWithin 𝕜 i f s x) :=
g.toContinuousLinearEquiv.iteratedFDerivWithin_comp_left f hs hx i
rw [this]
apply LinearIsometry.norm_compContinuousMultilinearMap g.toLinearIsometry
|
import Mathlib.Algebra.Homology.Single
#align_import algebra.homology.augment from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a"
noncomputable section
open CategoryTheory Limits HomologicalComplex
universe v u
variable {V : Type u} [Category.{v} V]
namespace ChainComplex
@[simps]
def truncate [HasZeroMorphisms V] : ChainComplex V ℕ ⥤ ChainComplex V ℕ where
obj C :=
{ X := fun i => C.X (i + 1)
d := fun i j => C.d (i + 1) (j + 1)
shape := fun i j w => C.shape _ _ <| by simpa }
map f := { f := fun i => f.f (i + 1) }
#align chain_complex.truncate ChainComplex.truncate
def truncateTo [HasZeroObject V] [HasZeroMorphisms V] (C : ChainComplex V ℕ) :
truncate.obj C ⟶ (single₀ V).obj (C.X 0) :=
(toSingle₀Equiv (truncate.obj C) (C.X 0)).symm ⟨C.d 1 0, by aesop⟩
#align chain_complex.truncate_to ChainComplex.truncateTo
-- PROJECT when `V` is abelian (but not generally?)
-- `[∀ n, Exact (C.d (n+2) (n+1)) (C.d (n+1) n)] [Epi (C.d 1 0)]` iff `QuasiIso (C.truncate_to)`
variable [HasZeroMorphisms V]
def augment (C : ChainComplex V ℕ) {X : V} (f : C.X 0 ⟶ X) (w : C.d 1 0 ≫ f = 0) :
ChainComplex V ℕ where
X | 0 => X
| i + 1 => C.X i
d | 1, 0 => f
| i + 1, j + 1 => C.d i j
| _, _ => 0
shape
| 1, 0, h => absurd rfl h
| i + 2, 0, _ => rfl
| 0, _, _ => rfl
| i + 1, j + 1, h => by
simp only; exact C.shape i j (Nat.succ_ne_succ.1 h)
d_comp_d'
| _, _, 0, rfl, rfl => w
| _, _, k + 1, rfl, rfl => C.d_comp_d _ _ _
#align chain_complex.augment ChainComplex.augment
@[simp]
theorem augment_X_zero (C : ChainComplex V ℕ) {X : V} (f : C.X 0 ⟶ X) (w : C.d 1 0 ≫ f = 0) :
(augment C f w).X 0 = X :=
rfl
set_option linter.uppercaseLean3 false in
#align chain_complex.augment_X_zero ChainComplex.augment_X_zero
@[simp]
theorem augment_X_succ (C : ChainComplex V ℕ) {X : V} (f : C.X 0 ⟶ X) (w : C.d 1 0 ≫ f = 0)
(i : ℕ) : (augment C f w).X (i + 1) = C.X i :=
rfl
set_option linter.uppercaseLean3 false in
#align chain_complex.augment_X_succ ChainComplex.augment_X_succ
@[simp]
theorem augment_d_one_zero (C : ChainComplex V ℕ) {X : V} (f : C.X 0 ⟶ X) (w : C.d 1 0 ≫ f = 0) :
(augment C f w).d 1 0 = f :=
rfl
#align chain_complex.augment_d_one_zero ChainComplex.augment_d_one_zero
@[simp]
| Mathlib/Algebra/Homology/Augment.lean | 92 | 94 | theorem augment_d_succ_succ (C : ChainComplex V ℕ) {X : V} (f : C.X 0 ⟶ X) (w : C.d 1 0 ≫ f = 0)
(i j : ℕ) : (augment C f w).d (i + 1) (j + 1) = C.d i j := by |
cases i <;> rfl
|
import Mathlib.Data.Int.GCD
import Mathlib.Tactic.NormNum
namespace Tactic
namespace NormNum
| Mathlib/Tactic/NormNum/GCD.lean | 22 | 28 | theorem int_gcd_helper' {d : ℕ} {x y : ℤ} (a b : ℤ) (h₁ : (d : ℤ) ∣ x) (h₂ : (d : ℤ) ∣ y)
(h₃ : x * a + y * b = d) : Int.gcd x y = d := by |
refine Nat.dvd_antisymm ?_ (Int.natCast_dvd_natCast.1 (Int.dvd_gcd h₁ h₂))
rw [← Int.natCast_dvd_natCast, ← h₃]
apply dvd_add
· exact Int.gcd_dvd_left.mul_right _
· exact Int.gcd_dvd_right.mul_right _
|
import Mathlib.Probability.Variance
#align_import probability.moments from "leanprover-community/mathlib"@"85453a2a14be8da64caf15ca50930cf4c6e5d8de"
open MeasureTheory Filter Finset Real
noncomputable section
open scoped MeasureTheory ProbabilityTheory ENNReal NNReal
namespace ProbabilityTheory
variable {Ω ι : Type*} {m : MeasurableSpace Ω} {X : Ω → ℝ} {p : ℕ} {μ : Measure Ω}
def moment (X : Ω → ℝ) (p : ℕ) (μ : Measure Ω) : ℝ :=
μ[X ^ p]
#align probability_theory.moment ProbabilityTheory.moment
def centralMoment (X : Ω → ℝ) (p : ℕ) (μ : Measure Ω) : ℝ := by
have m := fun (x : Ω) => μ[X] -- Porting note: Lean deems `μ[(X - fun x => μ[X]) ^ p]` ambiguous
exact μ[(X - m) ^ p]
#align probability_theory.central_moment ProbabilityTheory.centralMoment
@[simp]
theorem moment_zero (hp : p ≠ 0) : moment 0 p μ = 0 := by
simp only [moment, hp, zero_pow, Ne, not_false_iff, Pi.zero_apply, integral_const,
smul_eq_mul, mul_zero, integral_zero]
#align probability_theory.moment_zero ProbabilityTheory.moment_zero
@[simp]
theorem centralMoment_zero (hp : p ≠ 0) : centralMoment 0 p μ = 0 := by
simp only [centralMoment, hp, Pi.zero_apply, integral_const, smul_eq_mul,
mul_zero, zero_sub, Pi.pow_apply, Pi.neg_apply, neg_zero, zero_pow, Ne, not_false_iff]
#align probability_theory.central_moment_zero ProbabilityTheory.centralMoment_zero
theorem centralMoment_one' [IsFiniteMeasure μ] (h_int : Integrable X μ) :
centralMoment X 1 μ = (1 - (μ Set.univ).toReal) * μ[X] := by
simp only [centralMoment, Pi.sub_apply, pow_one]
rw [integral_sub h_int (integrable_const _)]
simp only [sub_mul, integral_const, smul_eq_mul, one_mul]
#align probability_theory.central_moment_one' ProbabilityTheory.centralMoment_one'
@[simp]
theorem centralMoment_one [IsProbabilityMeasure μ] : centralMoment X 1 μ = 0 := by
by_cases h_int : Integrable X μ
· rw [centralMoment_one' h_int]
simp only [measure_univ, ENNReal.one_toReal, sub_self, zero_mul]
· simp only [centralMoment, Pi.sub_apply, pow_one]
have : ¬Integrable (fun x => X x - integral μ X) μ := by
refine fun h_sub => h_int ?_
have h_add : X = (fun x => X x - integral μ X) + fun _ => integral μ X := by ext1 x; simp
rw [h_add]
exact h_sub.add (integrable_const _)
rw [integral_undef this]
#align probability_theory.central_moment_one ProbabilityTheory.centralMoment_one
theorem centralMoment_two_eq_variance [IsFiniteMeasure μ] (hX : Memℒp X 2 μ) :
centralMoment X 2 μ = variance X μ := by rw [hX.variance_eq]; rfl
#align probability_theory.central_moment_two_eq_variance ProbabilityTheory.centralMoment_two_eq_variance
section MomentGeneratingFunction
variable {t : ℝ}
def mgf (X : Ω → ℝ) (μ : Measure Ω) (t : ℝ) : ℝ :=
μ[fun ω => exp (t * X ω)]
#align probability_theory.mgf ProbabilityTheory.mgf
def cgf (X : Ω → ℝ) (μ : Measure Ω) (t : ℝ) : ℝ :=
log (mgf X μ t)
#align probability_theory.cgf ProbabilityTheory.cgf
@[simp]
theorem mgf_zero_fun : mgf 0 μ t = (μ Set.univ).toReal := by
simp only [mgf, Pi.zero_apply, mul_zero, exp_zero, integral_const, smul_eq_mul, mul_one]
#align probability_theory.mgf_zero_fun ProbabilityTheory.mgf_zero_fun
@[simp]
theorem cgf_zero_fun : cgf 0 μ t = log (μ Set.univ).toReal := by simp only [cgf, mgf_zero_fun]
#align probability_theory.cgf_zero_fun ProbabilityTheory.cgf_zero_fun
@[simp]
theorem mgf_zero_measure : mgf X (0 : Measure Ω) t = 0 := by simp only [mgf, integral_zero_measure]
#align probability_theory.mgf_zero_measure ProbabilityTheory.mgf_zero_measure
@[simp]
theorem cgf_zero_measure : cgf X (0 : Measure Ω) t = 0 := by
simp only [cgf, log_zero, mgf_zero_measure]
#align probability_theory.cgf_zero_measure ProbabilityTheory.cgf_zero_measure
@[simp]
theorem mgf_const' (c : ℝ) : mgf (fun _ => c) μ t = (μ Set.univ).toReal * exp (t * c) := by
simp only [mgf, integral_const, smul_eq_mul]
#align probability_theory.mgf_const' ProbabilityTheory.mgf_const'
-- @[simp] -- Porting note: `simp only` already proves this
theorem mgf_const (c : ℝ) [IsProbabilityMeasure μ] : mgf (fun _ => c) μ t = exp (t * c) := by
simp only [mgf_const', measure_univ, ENNReal.one_toReal, one_mul]
#align probability_theory.mgf_const ProbabilityTheory.mgf_const
@[simp]
theorem cgf_const' [IsFiniteMeasure μ] (hμ : μ ≠ 0) (c : ℝ) :
cgf (fun _ => c) μ t = log (μ Set.univ).toReal + t * c := by
simp only [cgf, mgf_const']
rw [log_mul _ (exp_pos _).ne']
· rw [log_exp _]
· rw [Ne, ENNReal.toReal_eq_zero_iff, Measure.measure_univ_eq_zero]
simp only [hμ, measure_ne_top μ Set.univ, or_self_iff, not_false_iff]
#align probability_theory.cgf_const' ProbabilityTheory.cgf_const'
@[simp]
theorem cgf_const [IsProbabilityMeasure μ] (c : ℝ) : cgf (fun _ => c) μ t = t * c := by
simp only [cgf, mgf_const, log_exp]
#align probability_theory.cgf_const ProbabilityTheory.cgf_const
@[simp]
theorem mgf_zero' : mgf X μ 0 = (μ Set.univ).toReal := by
simp only [mgf, zero_mul, exp_zero, integral_const, smul_eq_mul, mul_one]
#align probability_theory.mgf_zero' ProbabilityTheory.mgf_zero'
-- @[simp] -- Porting note: `simp only` already proves this
theorem mgf_zero [IsProbabilityMeasure μ] : mgf X μ 0 = 1 := by
simp only [mgf_zero', measure_univ, ENNReal.one_toReal]
#align probability_theory.mgf_zero ProbabilityTheory.mgf_zero
@[simp]
theorem cgf_zero' : cgf X μ 0 = log (μ Set.univ).toReal := by simp only [cgf, mgf_zero']
#align probability_theory.cgf_zero' ProbabilityTheory.cgf_zero'
-- @[simp] -- Porting note: `simp only` already proves this
| Mathlib/Probability/Moments.lean | 170 | 171 | theorem cgf_zero [IsProbabilityMeasure μ] : cgf X μ 0 = 0 := by |
simp only [cgf_zero', measure_univ, ENNReal.one_toReal, log_one]
|
import Mathlib.Algebra.BigOperators.Intervals
import Mathlib.Algebra.BigOperators.Ring.List
import Mathlib.Data.Int.ModEq
import Mathlib.Data.Nat.Bits
import Mathlib.Data.Nat.Log
import Mathlib.Data.List.Indexes
import Mathlib.Data.List.Palindrome
import Mathlib.Tactic.IntervalCases
import Mathlib.Tactic.Linarith
import Mathlib.Tactic.Ring
#align_import data.nat.digits from "leanprover-community/mathlib"@"369525b73f229ccd76a6ec0e0e0bf2be57599768"
namespace Nat
variable {n : ℕ}
def digitsAux0 : ℕ → List ℕ
| 0 => []
| n + 1 => [n + 1]
#align nat.digits_aux_0 Nat.digitsAux0
def digitsAux1 (n : ℕ) : List ℕ :=
List.replicate n 1
#align nat.digits_aux_1 Nat.digitsAux1
def digitsAux (b : ℕ) (h : 2 ≤ b) : ℕ → List ℕ
| 0 => []
| n + 1 =>
((n + 1) % b) :: digitsAux b h ((n + 1) / b)
decreasing_by exact Nat.div_lt_self (Nat.succ_pos _) h
#align nat.digits_aux Nat.digitsAux
@[simp]
theorem digitsAux_zero (b : ℕ) (h : 2 ≤ b) : digitsAux b h 0 = [] := by rw [digitsAux]
#align nat.digits_aux_zero Nat.digitsAux_zero
theorem digitsAux_def (b : ℕ) (h : 2 ≤ b) (n : ℕ) (w : 0 < n) :
digitsAux b h n = (n % b) :: digitsAux b h (n / b) := by
cases n
· cases w
· rw [digitsAux]
#align nat.digits_aux_def Nat.digitsAux_def
def digits : ℕ → ℕ → List ℕ
| 0 => digitsAux0
| 1 => digitsAux1
| b + 2 => digitsAux (b + 2) (by norm_num)
#align nat.digits Nat.digits
@[simp]
theorem digits_zero (b : ℕ) : digits b 0 = [] := by
rcases b with (_ | ⟨_ | ⟨_⟩⟩) <;> simp [digits, digitsAux0, digitsAux1]
#align nat.digits_zero Nat.digits_zero
-- @[simp] -- Porting note (#10618): simp can prove this
theorem digits_zero_zero : digits 0 0 = [] :=
rfl
#align nat.digits_zero_zero Nat.digits_zero_zero
@[simp]
theorem digits_zero_succ (n : ℕ) : digits 0 n.succ = [n + 1] :=
rfl
#align nat.digits_zero_succ Nat.digits_zero_succ
theorem digits_zero_succ' : ∀ {n : ℕ}, n ≠ 0 → digits 0 n = [n]
| 0, h => (h rfl).elim
| _ + 1, _ => rfl
#align nat.digits_zero_succ' Nat.digits_zero_succ'
@[simp]
theorem digits_one (n : ℕ) : digits 1 n = List.replicate n 1 :=
rfl
#align nat.digits_one Nat.digits_one
-- @[simp] -- Porting note (#10685): dsimp can prove this
theorem digits_one_succ (n : ℕ) : digits 1 (n + 1) = 1 :: digits 1 n :=
rfl
#align nat.digits_one_succ Nat.digits_one_succ
theorem digits_add_two_add_one (b n : ℕ) :
digits (b + 2) (n + 1) = ((n + 1) % (b + 2)) :: digits (b + 2) ((n + 1) / (b + 2)) := by
simp [digits, digitsAux_def]
#align nat.digits_add_two_add_one Nat.digits_add_two_add_one
@[simp]
lemma digits_of_two_le_of_pos {b : ℕ} (hb : 2 ≤ b) (hn : 0 < n) :
Nat.digits b n = n % b :: Nat.digits b (n / b) := by
rw [Nat.eq_add_of_sub_eq hb rfl, Nat.eq_add_of_sub_eq hn rfl, Nat.digits_add_two_add_one]
theorem digits_def' :
∀ {b : ℕ} (_ : 1 < b) {n : ℕ} (_ : 0 < n), digits b n = (n % b) :: digits b (n / b)
| 0, h => absurd h (by decide)
| 1, h => absurd h (by decide)
| b + 2, _ => digitsAux_def _ (by simp) _
#align nat.digits_def' Nat.digits_def'
@[simp]
theorem digits_of_lt (b x : ℕ) (hx : x ≠ 0) (hxb : x < b) : digits b x = [x] := by
rcases exists_eq_succ_of_ne_zero hx with ⟨x, rfl⟩
rcases Nat.exists_eq_add_of_le' ((Nat.le_add_left 1 x).trans_lt hxb) with ⟨b, rfl⟩
rw [digits_add_two_add_one, div_eq_of_lt hxb, digits_zero, mod_eq_of_lt hxb]
#align nat.digits_of_lt Nat.digits_of_lt
theorem digits_add (b : ℕ) (h : 1 < b) (x y : ℕ) (hxb : x < b) (hxy : x ≠ 0 ∨ y ≠ 0) :
digits b (x + b * y) = x :: digits b y := by
rcases Nat.exists_eq_add_of_le' h with ⟨b, rfl : _ = _ + 2⟩
cases y
· simp [hxb, hxy.resolve_right (absurd rfl)]
dsimp [digits]
rw [digitsAux_def]
· congr
· simp [Nat.add_mod, mod_eq_of_lt hxb]
· simp [add_mul_div_left, div_eq_of_lt hxb]
· apply Nat.succ_pos
#align nat.digits_add Nat.digits_add
-- If we had a function converting a list into a polynomial,
-- and appropriate lemmas about that function,
-- we could rewrite this in terms of that.
def ofDigits {α : Type*} [Semiring α] (b : α) : List ℕ → α
| [] => 0
| h :: t => h + b * ofDigits b t
#align nat.of_digits Nat.ofDigits
theorem ofDigits_eq_foldr {α : Type*} [Semiring α] (b : α) (L : List ℕ) :
ofDigits b L = List.foldr (fun x y => ↑x + b * y) 0 L := by
induction' L with d L ih
· rfl
· dsimp [ofDigits]
rw [ih]
#align nat.of_digits_eq_foldr Nat.ofDigits_eq_foldr
theorem ofDigits_eq_sum_map_with_index_aux (b : ℕ) (l : List ℕ) :
((List.range l.length).zipWith ((fun i a : ℕ => a * b ^ (i + 1))) l).sum =
b * ((List.range l.length).zipWith (fun i a => a * b ^ i) l).sum := by
suffices
(List.range l.length).zipWith (fun i a : ℕ => a * b ^ (i + 1)) l =
(List.range l.length).zipWith (fun i a => b * (a * b ^ i)) l
by simp [this]
congr; ext; simp [pow_succ]; ring
#align nat.of_digits_eq_sum_map_with_index_aux Nat.ofDigits_eq_sum_map_with_index_aux
theorem ofDigits_eq_sum_mapIdx (b : ℕ) (L : List ℕ) :
ofDigits b L = (L.mapIdx fun i a => a * b ^ i).sum := by
rw [List.mapIdx_eq_enum_map, List.enum_eq_zip_range, List.map_uncurry_zip_eq_zipWith,
ofDigits_eq_foldr]
induction' L with hd tl hl
· simp
· simpa [List.range_succ_eq_map, List.zipWith_map_left, ofDigits_eq_sum_map_with_index_aux] using
Or.inl hl
#align nat.of_digits_eq_sum_map_with_index Nat.ofDigits_eq_sum_mapIdx
@[simp]
theorem ofDigits_nil {b : ℕ} : ofDigits b [] = 0 := rfl
@[simp]
theorem ofDigits_singleton {b n : ℕ} : ofDigits b [n] = n := by simp [ofDigits]
#align nat.of_digits_singleton Nat.ofDigits_singleton
@[simp]
theorem ofDigits_one_cons {α : Type*} [Semiring α] (h : ℕ) (L : List ℕ) :
ofDigits (1 : α) (h :: L) = h + ofDigits 1 L := by simp [ofDigits]
#align nat.of_digits_one_cons Nat.ofDigits_one_cons
theorem ofDigits_cons {b hd} {tl : List ℕ} :
ofDigits b (hd :: tl) = hd + b * ofDigits b tl := rfl
theorem ofDigits_append {b : ℕ} {l1 l2 : List ℕ} :
ofDigits b (l1 ++ l2) = ofDigits b l1 + b ^ l1.length * ofDigits b l2 := by
induction' l1 with hd tl IH
· simp [ofDigits]
· rw [ofDigits, List.cons_append, ofDigits, IH, List.length_cons, pow_succ']
ring
#align nat.of_digits_append Nat.ofDigits_append
@[norm_cast]
theorem coe_ofDigits (α : Type*) [Semiring α] (b : ℕ) (L : List ℕ) :
((ofDigits b L : ℕ) : α) = ofDigits (b : α) L := by
induction' L with d L ih
· simp [ofDigits]
· dsimp [ofDigits]; push_cast; rw [ih]
#align nat.coe_of_digits Nat.coe_ofDigits
@[norm_cast]
theorem coe_int_ofDigits (b : ℕ) (L : List ℕ) : ((ofDigits b L : ℕ) : ℤ) = ofDigits (b : ℤ) L := by
induction' L with d L _
· rfl
· dsimp [ofDigits]; push_cast; simp only
#align nat.coe_int_of_digits Nat.coe_int_ofDigits
theorem digits_zero_of_eq_zero {b : ℕ} (h : b ≠ 0) :
∀ {L : List ℕ} (_ : ofDigits b L = 0), ∀ l ∈ L, l = 0
| _ :: _, h0, _, List.Mem.head .. => Nat.eq_zero_of_add_eq_zero_right h0
| _ :: _, h0, _, List.Mem.tail _ hL =>
digits_zero_of_eq_zero h (mul_right_injective₀ h (Nat.eq_zero_of_add_eq_zero_left h0)) _ hL
#align nat.digits_zero_of_eq_zero Nat.digits_zero_of_eq_zero
theorem digits_ofDigits (b : ℕ) (h : 1 < b) (L : List ℕ) (w₁ : ∀ l ∈ L, l < b)
(w₂ : ∀ h : L ≠ [], L.getLast h ≠ 0) : digits b (ofDigits b L) = L := by
induction' L with d L ih
· dsimp [ofDigits]
simp
· dsimp [ofDigits]
replace w₂ := w₂ (by simp)
rw [digits_add b h]
· rw [ih]
· intro l m
apply w₁
exact List.mem_cons_of_mem _ m
· intro h
rw [List.getLast_cons h] at w₂
convert w₂
· exact w₁ d (List.mem_cons_self _ _)
· by_cases h' : L = []
· rcases h' with rfl
left
simpa using w₂
· right
contrapose! w₂
refine digits_zero_of_eq_zero h.ne_bot w₂ _ ?_
rw [List.getLast_cons h']
exact List.getLast_mem h'
#align nat.digits_of_digits Nat.digits_ofDigits
theorem ofDigits_digits (b n : ℕ) : ofDigits b (digits b n) = n := by
cases' b with b
· cases' n with n
· rfl
· change ofDigits 0 [n + 1] = n + 1
dsimp [ofDigits]
· cases' b with b
· induction' n with n ih
· rfl
· rw [Nat.zero_add] at ih ⊢
simp only [ih, add_comm 1, ofDigits_one_cons, Nat.cast_id, digits_one_succ]
· apply Nat.strongInductionOn n _
clear n
intro n h
cases n
· rw [digits_zero]
rfl
· simp only [Nat.succ_eq_add_one, digits_add_two_add_one]
dsimp [ofDigits]
rw [h _ (Nat.div_lt_self' _ b)]
rw [Nat.mod_add_div]
#align nat.of_digits_digits Nat.ofDigits_digits
theorem ofDigits_one (L : List ℕ) : ofDigits 1 L = L.sum := by
induction' L with _ _ ih
· rfl
· simp [ofDigits, List.sum_cons, ih]
#align nat.of_digits_one Nat.ofDigits_one
theorem digits_eq_nil_iff_eq_zero {b n : ℕ} : digits b n = [] ↔ n = 0 := by
constructor
· intro h
have : ofDigits b (digits b n) = ofDigits b [] := by rw [h]
convert this
rw [ofDigits_digits]
· rintro rfl
simp
#align nat.digits_eq_nil_iff_eq_zero Nat.digits_eq_nil_iff_eq_zero
theorem digits_ne_nil_iff_ne_zero {b n : ℕ} : digits b n ≠ [] ↔ n ≠ 0 :=
not_congr digits_eq_nil_iff_eq_zero
#align nat.digits_ne_nil_iff_ne_zero Nat.digits_ne_nil_iff_ne_zero
theorem digits_eq_cons_digits_div {b n : ℕ} (h : 1 < b) (w : n ≠ 0) :
digits b n = (n % b) :: digits b (n / b) := by
rcases b with (_ | _ | b)
· rw [digits_zero_succ' w, Nat.mod_zero, Nat.div_zero, Nat.digits_zero_zero]
· norm_num at h
rcases n with (_ | n)
· norm_num at w
· simp only [digits_add_two_add_one, ne_eq]
#align nat.digits_eq_cons_digits_div Nat.digits_eq_cons_digits_div
theorem digits_getLast {b : ℕ} (m : ℕ) (h : 1 < b) (p q) :
(digits b m).getLast p = (digits b (m / b)).getLast q := by
by_cases hm : m = 0
· simp [hm]
simp only [digits_eq_cons_digits_div h hm]
rw [List.getLast_cons]
#align nat.digits_last Nat.digits_getLast
theorem digits.injective (b : ℕ) : Function.Injective b.digits :=
Function.LeftInverse.injective (ofDigits_digits b)
#align nat.digits.injective Nat.digits.injective
@[simp]
theorem digits_inj_iff {b n m : ℕ} : b.digits n = b.digits m ↔ n = m :=
(digits.injective b).eq_iff
#align nat.digits_inj_iff Nat.digits_inj_iff
theorem digits_len (b n : ℕ) (hb : 1 < b) (hn : n ≠ 0) : (b.digits n).length = b.log n + 1 := by
induction' n using Nat.strong_induction_on with n IH
rw [digits_eq_cons_digits_div hb hn, List.length]
by_cases h : n / b = 0
· have hb0 : b ≠ 0 := (Nat.succ_le_iff.1 hb).ne_bot
simp [h, log_eq_zero_iff, ← Nat.div_eq_zero_iff hb0.bot_lt]
· have : n / b < n := div_lt_self (Nat.pos_of_ne_zero hn) hb
rw [IH _ this h, log_div_base, tsub_add_cancel_of_le]
refine Nat.succ_le_of_lt (log_pos hb ?_)
contrapose! h
exact div_eq_of_lt h
#align nat.digits_len Nat.digits_len
theorem getLast_digit_ne_zero (b : ℕ) {m : ℕ} (hm : m ≠ 0) :
(digits b m).getLast (digits_ne_nil_iff_ne_zero.mpr hm) ≠ 0 := by
rcases b with (_ | _ | b)
· cases m
· cases hm rfl
· simp
· cases m
· cases hm rfl
rename ℕ => m
simp only [zero_add, digits_one, List.getLast_replicate_succ m 1]
exact Nat.one_ne_zero
revert hm
apply Nat.strongInductionOn m
intro n IH hn
by_cases hnb : n < b + 2
· simpa only [digits_of_lt (b + 2) n hn hnb]
· rw [digits_getLast n (le_add_left 2 b)]
refine IH _ (Nat.div_lt_self hn.bot_lt (one_lt_succ_succ b)) ?_
rw [← pos_iff_ne_zero]
exact Nat.div_pos (le_of_not_lt hnb) (zero_lt_succ (succ b))
#align nat.last_digit_ne_zero Nat.getLast_digit_ne_zero
theorem mul_ofDigits (n : ℕ) {b : ℕ} {l : List ℕ} :
n * ofDigits b l = ofDigits b (l.map (n * ·)) := by
induction l with
| nil => rfl
| cons hd tl ih =>
rw [List.map_cons, ofDigits_cons, ofDigits_cons, ← ih]
ring
theorem ofDigits_add_ofDigits_eq_ofDigits_zipWith_of_length_eq {b : ℕ} {l1 l2 : List ℕ}
(h : l1.length = l2.length) :
ofDigits b l1 + ofDigits b l2 = ofDigits b (l1.zipWith (· + ·) l2) := by
induction l1 generalizing l2 with
| nil => simp_all [eq_comm, List.length_eq_zero, ofDigits]
| cons hd₁ tl₁ ih₁ =>
induction l2 generalizing tl₁ with
| nil => simp_all
| cons hd₂ tl₂ ih₂ =>
simp_all only [List.length_cons, succ_eq_add_one, ofDigits_cons, add_left_inj,
eq_comm, List.zipWith_cons_cons, add_eq]
rw [← ih₁ h.symm, mul_add]
ac_rfl
theorem digits_lt_base' {b m : ℕ} : ∀ {d}, d ∈ digits (b + 2) m → d < b + 2 := by
apply Nat.strongInductionOn m
intro n IH d hd
cases' n with n
· rw [digits_zero] at hd
cases hd
-- base b+2 expansion of 0 has no digits
rw [digits_add_two_add_one] at hd
cases hd
· exact n.succ.mod_lt (by simp)
-- Porting note: Previous code (single line) contained linarith.
-- . exact IH _ (Nat.div_lt_self (Nat.succ_pos _) (by linarith)) hd
· apply IH ((n + 1) / (b + 2))
· apply Nat.div_lt_self <;> omega
· assumption
#align nat.digits_lt_base' Nat.digits_lt_base'
theorem digits_lt_base {b m d : ℕ} (hb : 1 < b) (hd : d ∈ digits b m) : d < b := by
rcases b with (_ | _ | b) <;> try simp_all
exact digits_lt_base' hd
#align nat.digits_lt_base Nat.digits_lt_base
theorem ofDigits_lt_base_pow_length' {b : ℕ} {l : List ℕ} (hl : ∀ x ∈ l, x < b + 2) :
ofDigits (b + 2) l < (b + 2) ^ l.length := by
induction' l with hd tl IH
· simp [ofDigits]
· rw [ofDigits, List.length_cons, pow_succ]
have : (ofDigits (b + 2) tl + 1) * (b + 2) ≤ (b + 2) ^ tl.length * (b + 2) :=
mul_le_mul (IH fun x hx => hl _ (List.mem_cons_of_mem _ hx)) (by rfl) (by simp only [zero_le])
(Nat.zero_le _)
suffices ↑hd < b + 2 by linarith
exact hl hd (List.mem_cons_self _ _)
#align nat.of_digits_lt_base_pow_length' Nat.ofDigits_lt_base_pow_length'
theorem ofDigits_lt_base_pow_length {b : ℕ} {l : List ℕ} (hb : 1 < b) (hl : ∀ x ∈ l, x < b) :
ofDigits b l < b ^ l.length := by
rcases b with (_ | _ | b) <;> try simp_all
exact ofDigits_lt_base_pow_length' hl
#align nat.of_digits_lt_base_pow_length Nat.ofDigits_lt_base_pow_length
theorem lt_base_pow_length_digits' {b m : ℕ} : m < (b + 2) ^ (digits (b + 2) m).length := by
convert @ofDigits_lt_base_pow_length' b (digits (b + 2) m) fun _ => digits_lt_base'
rw [ofDigits_digits (b + 2) m]
#align nat.lt_base_pow_length_digits' Nat.lt_base_pow_length_digits'
theorem lt_base_pow_length_digits {b m : ℕ} (hb : 1 < b) : m < b ^ (digits b m).length := by
rcases b with (_ | _ | b) <;> try simp_all
exact lt_base_pow_length_digits'
#align nat.lt_base_pow_length_digits Nat.lt_base_pow_length_digits
theorem ofDigits_digits_append_digits {b m n : ℕ} :
ofDigits b (digits b n ++ digits b m) = n + b ^ (digits b n).length * m := by
rw [ofDigits_append, ofDigits_digits, ofDigits_digits]
#align nat.of_digits_digits_append_digits Nat.ofDigits_digits_append_digits
theorem digits_append_digits {b m n : ℕ} (hb : 0 < b) :
digits b n ++ digits b m = digits b (n + b ^ (digits b n).length * m) := by
rcases eq_or_lt_of_le (Nat.succ_le_of_lt hb) with (rfl | hb)
· simp [List.replicate_add]
rw [← ofDigits_digits_append_digits]
refine (digits_ofDigits b hb _ (fun l hl => ?_) (fun h_append => ?_)).symm
· rcases (List.mem_append.mp hl) with (h | h) <;> exact digits_lt_base hb h
· by_cases h : digits b m = []
· simp only [h, List.append_nil] at h_append ⊢
exact getLast_digit_ne_zero b <| digits_ne_nil_iff_ne_zero.mp h_append
· exact (List.getLast_append' _ _ h) ▸
(getLast_digit_ne_zero _ <| digits_ne_nil_iff_ne_zero.mp h)
theorem digits_len_le_digits_len_succ (b n : ℕ) :
(digits b n).length ≤ (digits b (n + 1)).length := by
rcases Decidable.eq_or_ne n 0 with (rfl | hn)
· simp
rcases le_or_lt b 1 with hb | hb
· interval_cases b <;> simp_arith [digits_zero_succ', hn]
simpa [digits_len, hb, hn] using log_mono_right (le_succ _)
#align nat.digits_len_le_digits_len_succ Nat.digits_len_le_digits_len_succ
theorem le_digits_len_le (b n m : ℕ) (h : n ≤ m) : (digits b n).length ≤ (digits b m).length :=
monotone_nat_of_le_succ (digits_len_le_digits_len_succ b) h
#align nat.le_digits_len_le Nat.le_digits_len_le
@[mono]
theorem ofDigits_monotone {p q : ℕ} (L : List ℕ) (h : p ≤ q) : ofDigits p L ≤ ofDigits q L := by
induction' L with _ _ hi
· rfl
· simp only [ofDigits, cast_id, add_le_add_iff_left]
exact Nat.mul_le_mul h hi
theorem sum_le_ofDigits {p : ℕ} (L : List ℕ) (h : 1 ≤ p) : L.sum ≤ ofDigits p L :=
(ofDigits_one L).symm ▸ ofDigits_monotone L h
| Mathlib/Data/Nat/Digits.lean | 499 | 506 | theorem digit_sum_le (p n : ℕ) : List.sum (digits p n) ≤ n := by |
induction' n with n
· exact digits_zero _ ▸ Nat.le_refl (List.sum [])
· induction' p with p
· rw [digits_zero_succ, List.sum_cons, List.sum_nil, add_zero]
· nth_rw 2 [← ofDigits_digits p.succ (n + 1)]
rw [← ofDigits_one <| digits p.succ n.succ]
exact ofDigits_monotone (digits p.succ n.succ) <| Nat.succ_pos p
|
import Mathlib.AlgebraicGeometry.AffineScheme
import Mathlib.RingTheory.Nilpotent.Lemmas
import Mathlib.Topology.Sheaves.SheafCondition.Sites
import Mathlib.Algebra.Category.Ring.Constructions
import Mathlib.RingTheory.LocalProperties
#align_import algebraic_geometry.properties from "leanprover-community/mathlib"@"88474d1b5af6d37c2ab728b757771bced7f5194c"
-- Explicit universe annotations were used in this file to improve perfomance #12737
universe u
open TopologicalSpace Opposite CategoryTheory CategoryTheory.Limits TopCat
namespace AlgebraicGeometry
variable (X : Scheme)
instance : T0Space X.carrier := by
refine T0Space.of_open_cover fun x => ?_
obtain ⟨U, R, ⟨e⟩⟩ := X.local_affine x
let e' : U.1 ≃ₜ PrimeSpectrum R :=
homeoOfIso ((LocallyRingedSpace.forgetToSheafedSpace ⋙ SheafedSpace.forget _).mapIso e)
exact ⟨U.1.1, U.2, U.1.2, e'.embedding.t0Space⟩
instance : QuasiSober X.carrier := by
apply (config := { allowSynthFailures := true })
quasiSober_of_open_cover (Set.range fun x => Set.range <| (X.affineCover.map x).1.base)
· rintro ⟨_, i, rfl⟩; exact (X.affineCover.IsOpen i).base_open.isOpen_range
· rintro ⟨_, i, rfl⟩
exact @OpenEmbedding.quasiSober _ _ _ _ _ (Homeomorph.ofEmbedding _
(X.affineCover.IsOpen i).base_open.toEmbedding).symm.openEmbedding PrimeSpectrum.quasiSober
· rw [Set.top_eq_univ, Set.sUnion_range, Set.eq_univ_iff_forall]
intro x; exact ⟨_, ⟨_, rfl⟩, X.affineCover.Covers x⟩
class IsReduced : Prop where
component_reduced : ∀ U, IsReduced (X.presheaf.obj (op U)) := by infer_instance
#align algebraic_geometry.is_reduced AlgebraicGeometry.IsReduced
attribute [instance] IsReduced.component_reduced
theorem isReducedOfStalkIsReduced [∀ x : X.carrier, _root_.IsReduced (X.presheaf.stalk x)] :
IsReduced X := by
refine ⟨fun U => ⟨fun s hs => ?_⟩⟩
apply Presheaf.section_ext X.sheaf U s 0
intro x
rw [RingHom.map_zero]
change X.presheaf.germ x s = 0
exact (hs.map _).eq_zero
#align algebraic_geometry.is_reduced_of_stalk_is_reduced AlgebraicGeometry.isReducedOfStalkIsReduced
instance stalk_isReduced_of_reduced [IsReduced X] (x : X.carrier) :
_root_.IsReduced (X.presheaf.stalk x) := by
constructor
rintro g ⟨n, e⟩
obtain ⟨U, hxU, s, rfl⟩ := X.presheaf.germ_exist x g
rw [← map_pow, ← map_zero (X.presheaf.germ ⟨x, hxU⟩)] at e
obtain ⟨V, hxV, iU, iV, e'⟩ := X.presheaf.germ_eq x hxU hxU _ 0 e
rw [map_pow, map_zero] at e'
replace e' := (IsNilpotent.mk _ _ e').eq_zero (R := X.presheaf.obj <| op V)
erw [← ConcreteCategory.congr_hom (X.presheaf.germ_res iU ⟨x, hxV⟩) s]
rw [comp_apply, e', map_zero]
#align algebraic_geometry.stalk_is_reduced_of_reduced AlgebraicGeometry.stalk_isReduced_of_reduced
theorem isReducedOfOpenImmersion {X Y : Scheme} (f : X ⟶ Y) [H : IsOpenImmersion f]
[IsReduced Y] : IsReduced X := by
constructor
intro U
have : U = (Opens.map f.1.base).obj (H.base_open.isOpenMap.functor.obj U) := by
ext1; exact (Set.preimage_image_eq _ H.base_open.inj).symm
rw [this]
exact isReduced_of_injective (inv <| f.1.c.app (op <| H.base_open.isOpenMap.functor.obj U))
(asIso <| f.1.c.app (op <| H.base_open.isOpenMap.functor.obj U) :
Y.presheaf.obj _ ≅ _).symm.commRingCatIsoToRingEquiv.injective
#align algebraic_geometry.is_reduced_of_open_immersion AlgebraicGeometry.isReducedOfOpenImmersion
instance {R : CommRingCat.{u}} [H : _root_.IsReduced R] : IsReduced (Scheme.Spec.obj <| op R) := by
apply (config := { allowSynthFailures := true }) isReducedOfStalkIsReduced
intro x; dsimp
have : _root_.IsReduced (CommRingCat.of <| Localization.AtPrime (PrimeSpectrum.asIdeal x)) := by
dsimp; infer_instance
rw [show (Scheme.Spec.obj <| op R).presheaf = (Spec.structureSheaf R).presheaf from rfl]
exact isReduced_of_injective (StructureSheaf.stalkIso R x).hom
(StructureSheaf.stalkIso R x).commRingCatIsoToRingEquiv.injective
theorem affine_isReduced_iff (R : CommRingCat) :
IsReduced (Scheme.Spec.obj <| op R) ↔ _root_.IsReduced R := by
refine ⟨?_, fun h => inferInstance⟩
intro h
have : _root_.IsReduced
(LocallyRingedSpace.Γ.obj (op <| Spec.toLocallyRingedSpace.obj <| op R)) := by
change _root_.IsReduced ((Scheme.Spec.obj <| op R).presheaf.obj <| op ⊤); infer_instance
exact isReduced_of_injective (toSpecΓ R) (asIso <| toSpecΓ R).commRingCatIsoToRingEquiv.injective
#align algebraic_geometry.affine_is_reduced_iff AlgebraicGeometry.affine_isReduced_iff
theorem isReducedOfIsAffineIsReduced [IsAffine X] [h : _root_.IsReduced (X.presheaf.obj (op ⊤))] :
IsReduced X :=
haveI : IsReduced (Scheme.Spec.obj (op (Scheme.Γ.obj (op X)))) := by
rw [affine_isReduced_iff]; exact h
isReducedOfOpenImmersion X.isoSpec.hom
#align algebraic_geometry.is_reduced_of_is_affine_is_reduced AlgebraicGeometry.isReducedOfIsAffineIsReduced
theorem reduce_to_affine_global (P : ∀ (X : Scheme) (_ : Opens X.carrier), Prop)
(h₁ : ∀ (X : Scheme) (U : Opens X.carrier),
(∀ x : U, ∃ (V : _) (_ : x.1 ∈ V) (_ : V ⟶ U), P X V) → P X U)
(h₂ : ∀ {X Y} (f : X ⟶ Y) [hf : IsOpenImmersion f],
∃ (U : Set X.carrier) (V : Set Y.carrier) (hU : U = ⊤) (hV : V = Set.range f.1.base),
P X ⟨U, hU.symm ▸ isOpen_univ⟩ → P Y ⟨V, hV.symm ▸ hf.base_open.isOpen_range⟩)
(h₃ : ∀ R : CommRingCat, P (Scheme.Spec.obj <| op R) ⊤) :
∀ (X : Scheme) (U : Opens X.carrier), P X U := by
intro X U
apply h₁
intro x
obtain ⟨_, ⟨j, rfl⟩, hx, i⟩ :=
X.affineBasisCover_is_basis.exists_subset_of_mem_open (SetLike.mem_coe.2 x.prop) U.isOpen
let U' : Opens _ := ⟨_, (X.affineBasisCover.IsOpen j).base_open.isOpen_range⟩
let i' : U' ⟶ U := homOfLE i
refine ⟨U', hx, i', ?_⟩
obtain ⟨_, _, rfl, rfl, h₂'⟩ := h₂ (X.affineBasisCover.map j)
apply h₂'
apply h₃
#align algebraic_geometry.reduce_to_affine_global AlgebraicGeometry.reduce_to_affine_global
theorem reduce_to_affine_nbhd (P : ∀ (X : Scheme) (_ : X.carrier), Prop)
(h₁ : ∀ (R : CommRingCat) (x : PrimeSpectrum R), P (Scheme.Spec.obj <| op R) x)
(h₂ : ∀ {X Y} (f : X ⟶ Y) [IsOpenImmersion f] (x : X.carrier), P X x → P Y (f.1.base x)) :
∀ (X : Scheme) (x : X.carrier), P X x := by
intro X x
obtain ⟨y, e⟩ := X.affineCover.Covers x
convert h₂ (X.affineCover.map (X.affineCover.f x)) y _
· rw [e]
apply h₁
#align algebraic_geometry.reduce_to_affine_nbhd AlgebraicGeometry.reduce_to_affine_nbhd
theorem eq_zero_of_basicOpen_eq_bot {X : Scheme} [hX : IsReduced X] {U : Opens X.carrier}
(s : X.presheaf.obj (op U)) (hs : X.basicOpen s = ⊥) : s = 0 := by
apply TopCat.Presheaf.section_ext X.sheaf U
conv => intro x; rw [RingHom.map_zero]
refine (@reduce_to_affine_global (fun X U =>
∀ [IsReduced X] (s : X.presheaf.obj (op U)),
X.basicOpen s = ⊥ → ∀ x, (X.sheaf.presheaf.germ x) s = 0) ?_ ?_ ?_) X U s hs
· intro X U hx hX s hs x
obtain ⟨V, hx, i, H⟩ := hx x
specialize H (X.presheaf.map i.op s)
erw [Scheme.basicOpen_res] at H
rw [hs] at H
specialize H (inf_bot_eq _) ⟨x, hx⟩
erw [TopCat.Presheaf.germ_res_apply] at H
exact H
· rintro X Y f hf
have e : f.val.base ⁻¹' Set.range ↑f.val.base = Set.univ := by
rw [← Set.image_univ, Set.preimage_image_eq _ hf.base_open.inj]
refine ⟨_, _, e, rfl, ?_⟩
rintro H hX s hs ⟨_, x, rfl⟩
haveI := isReducedOfOpenImmersion f
specialize H (f.1.c.app _ s) _ ⟨x, by rw [Opens.mem_mk, e]; trivial⟩
· rw [← Scheme.preimage_basicOpen, hs]; ext1; simp [Opens.map]
· erw [← PresheafedSpace.stalkMap_germ_apply f.1 ⟨_, _⟩ ⟨x, _⟩] at H
apply_fun inv <| PresheafedSpace.stalkMap f.val x at H
erw [CategoryTheory.IsIso.hom_inv_id_apply, map_zero] at H
exact H
· intro R hX s hs x
erw [basicOpen_eq_of_affine', PrimeSpectrum.basicOpen_eq_bot_iff] at hs
replace hs := hs.map (SpecΓIdentity.app R).inv
-- what the hell?!
replace hs := @IsNilpotent.eq_zero _ _ _ _ (show _ from ?_) hs
· rw [Iso.hom_inv_id_apply] at hs
rw [hs, map_zero]
exact @IsReduced.component_reduced _ hX ⊤
#align algebraic_geometry.eq_zero_of_basic_open_eq_bot AlgebraicGeometry.eq_zero_of_basicOpen_eq_bot
@[simp]
theorem basicOpen_eq_bot_iff {X : Scheme} [IsReduced X] {U : Opens X.carrier}
(s : X.presheaf.obj <| op U) : X.basicOpen s = ⊥ ↔ s = 0 := by
refine ⟨eq_zero_of_basicOpen_eq_bot s, ?_⟩
rintro rfl
simp
#align algebraic_geometry.basic_open_eq_bot_iff AlgebraicGeometry.basicOpen_eq_bot_iff
class IsIntegral : Prop where
nonempty : Nonempty X.carrier := by infer_instance
component_integral : ∀ (U : Opens X.carrier) [Nonempty U], IsDomain (X.presheaf.obj (op U)) := by
infer_instance
#align algebraic_geometry.is_integral AlgebraicGeometry.IsIntegral
attribute [instance] IsIntegral.component_integral IsIntegral.nonempty
instance [h : IsIntegral X] : IsDomain (X.presheaf.obj (op ⊤)) :=
@IsIntegral.component_integral _ _ _ (by
simp only [Set.univ_nonempty, Opens.nonempty_coeSort, Opens.coe_top])
instance (priority := 900) isReducedOfIsIntegral [IsIntegral X] : IsReduced X := by
constructor
intro U
rcases U.1.eq_empty_or_nonempty with h | h
· have : U = ⊥ := SetLike.ext' h
haveI := CommRingCat.subsingleton_of_isTerminal (X.sheaf.isTerminalOfEqEmpty this)
change _root_.IsReduced (X.sheaf.val.obj (op U))
infer_instance
· haveI : Nonempty U := by simpa
infer_instance
#align algebraic_geometry.is_reduced_of_is_integral AlgebraicGeometry.isReducedOfIsIntegral
instance is_irreducible_of_isIntegral [IsIntegral X] : IrreducibleSpace X.carrier := by
by_contra H
replace H : ¬IsPreirreducible (⊤ : Set X.carrier) := fun h =>
H { toPreirreducibleSpace := ⟨h⟩
toNonempty := inferInstance }
simp_rw [isPreirreducible_iff_closed_union_closed, not_forall, not_or] at H
rcases H with ⟨S, T, hS, hT, h₁, h₂, h₃⟩
erw [not_forall] at h₂ h₃
simp_rw [not_forall] at h₂ h₃
haveI : Nonempty (⟨Sᶜ, hS.1⟩ : Opens X.carrier) := ⟨⟨_, h₂.choose_spec.choose_spec⟩⟩
haveI : Nonempty (⟨Tᶜ, hT.1⟩ : Opens X.carrier) := ⟨⟨_, h₃.choose_spec.choose_spec⟩⟩
haveI : Nonempty (⟨Sᶜ, hS.1⟩ ⊔ ⟨Tᶜ, hT.1⟩ : Opens X.carrier) :=
⟨⟨_, Or.inl h₂.choose_spec.choose_spec⟩⟩
let e : X.presheaf.obj _ ≅ CommRingCat.of _ :=
(X.sheaf.isProductOfDisjoint ⟨_, hS.1⟩ ⟨_, hT.1⟩ ?_).conePointUniqueUpToIso
(CommRingCat.prodFanIsLimit _ _)
· apply (config := { allowSynthFailures := true }) false_of_nontrivial_of_product_domain
· exact e.symm.commRingCatIsoToRingEquiv.toMulEquiv.isDomain _
· apply X.toLocallyRingedSpace.component_nontrivial
· apply X.toLocallyRingedSpace.component_nontrivial
· ext x
constructor
· rintro ⟨hS, hT⟩
cases' h₁ (show x ∈ ⊤ by trivial) with h h
exacts [hS h, hT h]
· intro x
exact x.rec (by contradiction)
#align algebraic_geometry.is_irreducible_of_is_integral AlgebraicGeometry.is_irreducible_of_isIntegral
theorem isIntegralOfIsIrreducibleIsReduced [IsReduced X] [H : IrreducibleSpace X.carrier] :
IsIntegral X := by
constructor; · infer_instance
intro U hU
haveI := (@LocallyRingedSpace.component_nontrivial X.toLocallyRingedSpace U hU).1
have : NoZeroDivisors
(X.toLocallyRingedSpace.toSheafedSpace.toPresheafedSpace.presheaf.obj (op U)) := by
refine ⟨fun {a b} e => ?_⟩
simp_rw [← basicOpen_eq_bot_iff, ← Opens.not_nonempty_iff_eq_bot]
by_contra! h
obtain ⟨_, ⟨x, hx₁, rfl⟩, ⟨x, hx₂, e'⟩⟩ :=
nonempty_preirreducible_inter (X.basicOpen a).2 (X.basicOpen b).2 h.1 h.2
replace e' := Subtype.eq e'
subst e'
replace e := congr_arg (X.presheaf.germ x) e
rw [RingHom.map_mul, RingHom.map_zero] at e
refine zero_ne_one' (X.presheaf.stalk x.1) (isUnit_zero_iff.1 ?_)
convert hx₁.mul hx₂
exact e.symm
exact NoZeroDivisors.to_isDomain _
#align algebraic_geometry.is_integral_of_is_irreducible_is_reduced AlgebraicGeometry.isIntegralOfIsIrreducibleIsReduced
theorem isIntegral_iff_is_irreducible_and_isReduced :
IsIntegral X ↔ IrreducibleSpace X.carrier ∧ IsReduced X :=
⟨fun _ => ⟨inferInstance, inferInstance⟩, fun ⟨_, _⟩ =>
isIntegralOfIsIrreducibleIsReduced X⟩
#align algebraic_geometry.is_integral_iff_is_irreducible_and_is_reduced AlgebraicGeometry.isIntegral_iff_is_irreducible_and_isReduced
theorem isIntegralOfOpenImmersion {X Y : Scheme} (f : X ⟶ Y) [H : IsOpenImmersion f]
[IsIntegral Y] [Nonempty X.carrier] : IsIntegral X := by
constructor; · infer_instance
intro U hU
have : U = (Opens.map f.1.base).obj (H.base_open.isOpenMap.functor.obj U) := by
ext1; exact (Set.preimage_image_eq _ H.base_open.inj).symm
rw [this]
have : IsDomain (Y.presheaf.obj (op (H.base_open.isOpenMap.functor.obj U))) := by
apply (config := { allowSynthFailures := true }) IsIntegral.component_integral
exact ⟨⟨_, _, hU.some.prop, rfl⟩⟩
exact (asIso <| f.1.c.app (op <| H.base_open.isOpenMap.functor.obj U) :
Y.presheaf.obj _ ≅ _).symm.commRingCatIsoToRingEquiv.toMulEquiv.isDomain _
#align algebraic_geometry.is_integral_of_open_immersion AlgebraicGeometry.isIntegralOfOpenImmersion
instance {R : CommRingCat} [H : IsDomain R] :
IrreducibleSpace (Scheme.Spec.obj <| op R).carrier := by
convert PrimeSpectrum.irreducibleSpace (R := R)
instance {R : CommRingCat} [IsDomain R] : IsIntegral (Scheme.Spec.obj <| op R) :=
isIntegralOfIsIrreducibleIsReduced _
theorem affine_isIntegral_iff (R : CommRingCat) :
IsIntegral (Scheme.Spec.obj <| op R) ↔ IsDomain R :=
⟨fun _ => MulEquiv.isDomain ((Scheme.Spec.obj <| op R).presheaf.obj (op ⊤))
(asIso <| toSpecΓ R).commRingCatIsoToRingEquiv.toMulEquiv, fun _ => inferInstance⟩
#align algebraic_geometry.affine_is_integral_iff AlgebraicGeometry.affine_isIntegral_iff
| Mathlib/AlgebraicGeometry/Properties.lean | 315 | 319 | theorem isIntegralOfIsAffineIsDomain [IsAffine X] [Nonempty X.carrier]
[h : IsDomain (X.presheaf.obj (op ⊤))] : IsIntegral X :=
haveI : IsIntegral (Scheme.Spec.obj (op (Scheme.Γ.obj (op X)))) := by |
rw [affine_isIntegral_iff]; exact h
isIntegralOfOpenImmersion X.isoSpec.hom
|
import Mathlib.Algebra.EuclideanDomain.Instances
import Mathlib.RingTheory.Ideal.Colon
import Mathlib.RingTheory.UniqueFactorizationDomain
#align_import ring_theory.principal_ideal_domain from "leanprover-community/mathlib"@"6010cf523816335f7bae7f8584cb2edaace73940"
universe u v
variable {R : Type u} {M : Type v}
open Set Function
open Submodule
section
variable [Ring R] [AddCommGroup M] [Module R M]
instance bot_isPrincipal : (⊥ : Submodule R M).IsPrincipal :=
⟨⟨0, by simp⟩⟩
#align bot_is_principal bot_isPrincipal
instance top_isPrincipal : (⊤ : Submodule R R).IsPrincipal :=
⟨⟨1, Ideal.span_singleton_one.symm⟩⟩
#align top_is_principal top_isPrincipal
variable (R)
class IsBezout : Prop where
isPrincipal_of_FG : ∀ I : Ideal R, I.FG → I.IsPrincipal
#align is_bezout IsBezout
instance (priority := 100) IsBezout.of_isPrincipalIdealRing [IsPrincipalIdealRing R] : IsBezout R :=
⟨fun I _ => IsPrincipalIdealRing.principal I⟩
#align is_bezout.of_is_principal_ideal_ring IsBezout.of_isPrincipalIdealRing
instance (priority := 100) DivisionRing.isPrincipalIdealRing (K : Type u) [DivisionRing K] :
IsPrincipalIdealRing K where
principal S := by
rcases Ideal.eq_bot_or_top S with (rfl | rfl)
· apply bot_isPrincipal
· apply top_isPrincipal
#align division_ring.is_principal_ideal_ring DivisionRing.isPrincipalIdealRing
end
namespace Submodule.IsPrincipal
variable [AddCommGroup M]
section Ring
variable [Ring R] [Module R M]
noncomputable def generator (S : Submodule R M) [S.IsPrincipal] : M :=
Classical.choose (principal S)
#align submodule.is_principal.generator Submodule.IsPrincipal.generator
theorem span_singleton_generator (S : Submodule R M) [S.IsPrincipal] : span R {generator S} = S :=
Eq.symm (Classical.choose_spec (principal S))
#align submodule.is_principal.span_singleton_generator Submodule.IsPrincipal.span_singleton_generator
@[simp]
theorem _root_.Ideal.span_singleton_generator (I : Ideal R) [I.IsPrincipal] :
Ideal.span ({generator I} : Set R) = I :=
Eq.symm (Classical.choose_spec (principal I))
#align ideal.span_singleton_generator Ideal.span_singleton_generator
@[simp]
theorem generator_mem (S : Submodule R M) [S.IsPrincipal] : generator S ∈ S := by
conv_rhs => rw [← span_singleton_generator S]
exact subset_span (mem_singleton _)
#align submodule.is_principal.generator_mem Submodule.IsPrincipal.generator_mem
| Mathlib/RingTheory/PrincipalIdealDomain.lean | 109 | 111 | theorem mem_iff_eq_smul_generator (S : Submodule R M) [S.IsPrincipal] {x : M} :
x ∈ S ↔ ∃ s : R, x = s • generator S := by |
simp_rw [@eq_comm _ x, ← mem_span_singleton, span_singleton_generator]
|
import Mathlib.CategoryTheory.Sites.Coherent.CoherentSheaves
namespace CategoryTheory
variable {C : Type*} [Category C] [Precoherent C] {X : C}
theorem coherentTopology.mem_sieves_of_hasEffectiveEpiFamily (S : Sieve X) :
(∃ (α : Type) (_ : Finite α) (Y : α → C) (π : (a : α) → (Y a ⟶ X)),
EffectiveEpiFamily Y π ∧ (∀ a : α, (S.arrows) (π a)) ) →
(S ∈ GrothendieckTopology.sieves (coherentTopology C) X) := by
intro ⟨α, _, Y, π, hπ⟩
apply (coherentCoverage C).mem_toGrothendieck_sieves_of_superset (R := Presieve.ofArrows Y π)
· exact fun _ _ h ↦ by cases h; exact hπ.2 _
· exact ⟨_, inferInstance, Y, π, rfl, hπ.1⟩
theorem EffectiveEpiFamily.transitive_of_finite {α : Type} [Finite α] {Y : α → C}
(π : (a : α) → (Y a ⟶ X)) (h : EffectiveEpiFamily Y π) {β : α → Type} [∀ (a: α), Finite (β a)]
{Y_n : (a : α) → β a → C} (π_n : (a : α) → (b : β a) → (Y_n a b ⟶ Y a))
(H : ∀ a, EffectiveEpiFamily (Y_n a) (π_n a)) :
EffectiveEpiFamily
(fun (c : Σ a, β a) => Y_n c.fst c.snd) (fun c => π_n c.fst c.snd ≫ π c.fst) := by
rw [← Sieve.effectiveEpimorphic_family]
suffices h₂ : (Sieve.generate (Presieve.ofArrows (fun (⟨a, b⟩ : Σ _, β _) => Y_n a b)
(fun ⟨a,b⟩ => π_n a b ≫ π a))) ∈ GrothendieckTopology.sieves (coherentTopology C) X by
change Nonempty _
rw [← Sieve.forallYonedaIsSheaf_iff_colimit]
exact fun W => coherentTopology.isSheaf_yoneda_obj W _ h₂
-- Show that a covering sieve is a colimit, which implies the original set of arrows is regular
-- epimorphic. We use the transitivity property of saturation
apply Coverage.saturate.transitive X (Sieve.generate (Presieve.ofArrows Y π))
· apply Coverage.saturate.of
use α, inferInstance, Y, π
· intro V f ⟨Y₁, h, g, ⟨hY, hf⟩⟩
rw [← hf, Sieve.pullback_comp]
apply (coherentTopology C).pullback_stable'
apply coherentTopology.mem_sieves_of_hasEffectiveEpiFamily
-- Need to show that the pullback of the family `π_n` to a given `Y i` is effective epimorphic
obtain ⟨i⟩ := hY
exact ⟨β i, inferInstance, Y_n i, π_n i, H i, fun b ↦
⟨Y_n i b, (𝟙 _), π_n i b ≫ π i, ⟨(⟨i, b⟩ : Σ (i : α), β i)⟩, by simp⟩⟩
instance precoherentEffectiveEpiFamilyCompEffectiveEpis
{α : Type} [Finite α] {Y Z : α → C} (π : (a : α) → (Y a ⟶ X)) [EffectiveEpiFamily Y π]
(f : (a : α) → Z a ⟶ Y a) [h : ∀ a, EffectiveEpi (f a)] :
EffectiveEpiFamily _ fun a ↦ f a ≫ π a := by
simp_rw [effectiveEpi_iff_effectiveEpiFamily] at h
exact EffectiveEpiFamily.reindex (e := Equiv.sigmaPUnit α) _ _
(EffectiveEpiFamily.transitive_of_finite (β := fun _ ↦ Unit) _ inferInstance _ h)
| Mathlib/CategoryTheory/Sites/Coherent/CoherentTopology.lean | 82 | 99 | theorem coherentTopology.mem_sieves_iff_hasEffectiveEpiFamily (S : Sieve X) :
(S ∈ GrothendieckTopology.sieves (coherentTopology C) X) ↔
(∃ (α : Type) (_ : Finite α) (Y : α → C) (π : (a : α) → (Y a ⟶ X)),
EffectiveEpiFamily Y π ∧ (∀ a : α, (S.arrows) (π a)) ) := by |
constructor
· intro h
induction' h with Y T hS Y Y R S _ _ a b
· obtain ⟨a, h, Y', π, h', _⟩ := hS
refine ⟨a, h, Y', π, inferInstance, fun a' ↦ ?_⟩
obtain ⟨rfl, _⟩ := h'
exact ⟨Y' a', 𝟙 Y' a', π a', Presieve.ofArrows.mk a', by simp⟩
· exact ⟨Unit, inferInstance, fun _ => Y, fun _ => (𝟙 Y), inferInstance, by simp⟩
· obtain ⟨α, w, Y₁, π, ⟨h₁,h₂⟩⟩ := a
choose β _ Y_n π_n H using fun a => b (h₂ a)
exact ⟨(Σ a, β a), inferInstance, fun ⟨a,b⟩ => Y_n a b, fun ⟨a, b⟩ => (π_n a b) ≫ (π a),
EffectiveEpiFamily.transitive_of_finite _ h₁ _ (fun a => (H a).1),
fun c => (H c.fst).2 c.snd⟩
· exact coherentTopology.mem_sieves_of_hasEffectiveEpiFamily S
|
import Mathlib.Algebra.GroupWithZero.Units.Lemmas
import Mathlib.Algebra.Order.BigOperators.Group.Finset
import Mathlib.Data.Fintype.BigOperators
#align_import data.sign from "leanprover-community/mathlib"@"2445c98ae4b87eabebdde552593519b9b6dc350c"
-- Porting note (#11081): cannot automatically derive Fintype, added manually
inductive SignType
| zero
| neg
| pos
deriving DecidableEq, Inhabited
#align sign_type SignType
-- Porting note: these lemmas are autogenerated by the inductive definition and are not
-- in simple form due to the below `x_eq_x` lemmas
attribute [nolint simpNF] SignType.zero.sizeOf_spec
attribute [nolint simpNF] SignType.neg.sizeOf_spec
attribute [nolint simpNF] SignType.pos.sizeOf_spec
namespace SignType
-- Porting note: Added Fintype SignType manually
instance : Fintype SignType :=
Fintype.ofMultiset (zero :: neg :: pos :: List.nil) (fun x ↦ by cases x <;> simp)
instance : Zero SignType :=
⟨zero⟩
instance : One SignType :=
⟨pos⟩
instance : Neg SignType :=
⟨fun s =>
match s with
| neg => pos
| zero => zero
| pos => neg⟩
@[simp]
theorem zero_eq_zero : zero = 0 :=
rfl
#align sign_type.zero_eq_zero SignType.zero_eq_zero
@[simp]
theorem neg_eq_neg_one : neg = -1 :=
rfl
#align sign_type.neg_eq_neg_one SignType.neg_eq_neg_one
@[simp]
theorem pos_eq_one : pos = 1 :=
rfl
#align sign_type.pos_eq_one SignType.pos_eq_one
instance : Mul SignType :=
⟨fun x y =>
match x with
| neg => -y
| zero => zero
| pos => y⟩
protected inductive LE : SignType → SignType → Prop
| of_neg (a) : SignType.LE neg a
| zero : SignType.LE zero zero
| of_pos (a) : SignType.LE a pos
#align sign_type.le SignType.LE
instance : LE SignType :=
⟨SignType.LE⟩
instance LE.decidableRel : DecidableRel SignType.LE := fun a b => by
cases a <;> cases b <;> first | exact isTrue (by constructor)| exact isFalse (by rintro ⟨_⟩)
instance decidableEq : DecidableEq SignType := fun a b => by
cases a <;> cases b <;> first | exact isTrue (by constructor)| exact isFalse (by rintro ⟨_⟩)
private lemma mul_comm : ∀ (a b : SignType), a * b = b * a := by rintro ⟨⟩ ⟨⟩ <;> rfl
private lemma mul_assoc : ∀ (a b c : SignType), (a * b) * c = a * (b * c) := by
rintro ⟨⟩ ⟨⟩ ⟨⟩ <;> rfl
instance : CommGroupWithZero SignType where
zero := 0
one := 1
mul := (· * ·)
inv := id
mul_zero a := by cases a <;> rfl
zero_mul a := by cases a <;> rfl
mul_one a := by cases a <;> rfl
one_mul a := by cases a <;> rfl
mul_inv_cancel a ha := by cases a <;> trivial
mul_comm := mul_comm
mul_assoc := mul_assoc
exists_pair_ne := ⟨0, 1, by rintro ⟨_⟩⟩
inv_zero := rfl
private lemma le_antisymm (a b : SignType) (_ : a ≤ b) (_: b ≤ a) : a = b := by
cases a <;> cases b <;> trivial
private lemma le_trans (a b c : SignType) (_ : a ≤ b) (_: b ≤ c) : a ≤ c := by
cases a <;> cases b <;> cases c <;> tauto
instance : LinearOrder SignType where
le := (· ≤ ·)
le_refl a := by cases a <;> constructor
le_total a b := by cases a <;> cases b <;> first | left; constructor | right; constructor
le_antisymm := le_antisymm
le_trans := le_trans
decidableLE := LE.decidableRel
decidableEq := SignType.decidableEq
instance : BoundedOrder SignType where
top := 1
le_top := LE.of_pos
bot := -1
bot_le := LE.of_neg
instance : HasDistribNeg SignType :=
{ neg_neg := fun x => by cases x <;> rfl
neg_mul := fun x y => by cases x <;> cases y <;> rfl
mul_neg := fun x y => by cases x <;> cases y <;> rfl }
def fin3Equiv : SignType ≃* Fin 3 where
toFun a :=
match a with
| 0 => ⟨0, by simp⟩
| 1 => ⟨1, by simp⟩
| -1 => ⟨2, by simp⟩
invFun a :=
match a with
| ⟨0, _⟩ => 0
| ⟨1, _⟩ => 1
| ⟨2, _⟩ => -1
left_inv a := by cases a <;> rfl
right_inv a :=
match a with
| ⟨0, _⟩ => by simp
| ⟨1, _⟩ => by simp
| ⟨2, _⟩ => by simp
map_mul' a b := by
cases a <;> cases b <;> rfl
#align sign_type.fin3_equiv SignType.fin3Equiv
section CaseBashing
-- Porting note: a lot of these thms used to use decide! which is not implemented yet
theorem nonneg_iff {a : SignType} : 0 ≤ a ↔ a = 0 ∨ a = 1 := by cases a <;> decide
#align sign_type.nonneg_iff SignType.nonneg_iff
theorem nonneg_iff_ne_neg_one {a : SignType} : 0 ≤ a ↔ a ≠ -1 := by cases a <;> decide
#align sign_type.nonneg_iff_ne_neg_one SignType.nonneg_iff_ne_neg_one
theorem neg_one_lt_iff {a : SignType} : -1 < a ↔ 0 ≤ a := by cases a <;> decide
#align sign_type.neg_one_lt_iff SignType.neg_one_lt_iff
theorem nonpos_iff {a : SignType} : a ≤ 0 ↔ a = -1 ∨ a = 0 := by cases a <;> decide
#align sign_type.nonpos_iff SignType.nonpos_iff
theorem nonpos_iff_ne_one {a : SignType} : a ≤ 0 ↔ a ≠ 1 := by cases a <;> decide
#align sign_type.nonpos_iff_ne_one SignType.nonpos_iff_ne_one
theorem lt_one_iff {a : SignType} : a < 1 ↔ a ≤ 0 := by cases a <;> decide
#align sign_type.lt_one_iff SignType.lt_one_iff
@[simp]
theorem neg_iff {a : SignType} : a < 0 ↔ a = -1 := by cases a <;> decide
#align sign_type.neg_iff SignType.neg_iff
@[simp]
theorem le_neg_one_iff {a : SignType} : a ≤ -1 ↔ a = -1 :=
le_bot_iff
#align sign_type.le_neg_one_iff SignType.le_neg_one_iff
@[simp]
theorem pos_iff {a : SignType} : 0 < a ↔ a = 1 := by cases a <;> decide
#align sign_type.pos_iff SignType.pos_iff
@[simp]
theorem one_le_iff {a : SignType} : 1 ≤ a ↔ a = 1 :=
top_le_iff
#align sign_type.one_le_iff SignType.one_le_iff
@[simp]
theorem neg_one_le (a : SignType) : -1 ≤ a :=
bot_le
#align sign_type.neg_one_le SignType.neg_one_le
@[simp]
theorem le_one (a : SignType) : a ≤ 1 :=
le_top
#align sign_type.le_one SignType.le_one
@[simp]
theorem not_lt_neg_one (a : SignType) : ¬a < -1 :=
not_lt_bot
#align sign_type.not_lt_neg_one SignType.not_lt_neg_one
@[simp]
theorem not_one_lt (a : SignType) : ¬1 < a :=
not_top_lt
#align sign_type.not_one_lt SignType.not_one_lt
@[simp]
theorem self_eq_neg_iff (a : SignType) : a = -a ↔ a = 0 := by cases a <;> decide
#align sign_type.self_eq_neg_iff SignType.self_eq_neg_iff
@[simp]
| Mathlib/Data/Sign.lean | 223 | 223 | theorem neg_eq_self_iff (a : SignType) : -a = a ↔ a = 0 := by | cases a <;> decide
|
import Mathlib.Probability.Kernel.Composition
#align_import probability.kernel.invariance from "leanprover-community/mathlib"@"3b92d54a05ee592aa2c6181a4e76b1bb7cc45d0b"
open MeasureTheory
open scoped MeasureTheory ENNReal ProbabilityTheory
namespace ProbabilityTheory
variable {α β γ : Type*} {mα : MeasurableSpace α} {mβ : MeasurableSpace β} {mγ : MeasurableSpace γ}
namespace kernel
@[simp]
theorem bind_add (μ ν : Measure α) (κ : kernel α β) : (μ + ν).bind κ = μ.bind κ + ν.bind κ := by
ext1 s hs
rw [Measure.bind_apply hs (kernel.measurable _), lintegral_add_measure, Measure.coe_add,
Pi.add_apply, Measure.bind_apply hs (kernel.measurable _),
Measure.bind_apply hs (kernel.measurable _)]
#align probability_theory.kernel.bind_add ProbabilityTheory.kernel.bind_add
@[simp]
theorem bind_smul (κ : kernel α β) (μ : Measure α) (r : ℝ≥0∞) : (r • μ).bind κ = r • μ.bind κ := by
ext1 s hs
rw [Measure.bind_apply hs (kernel.measurable _), lintegral_smul_measure, Measure.coe_smul,
Pi.smul_apply, Measure.bind_apply hs (kernel.measurable _), smul_eq_mul]
#align probability_theory.kernel.bind_smul ProbabilityTheory.kernel.bind_smul
| Mathlib/Probability/Kernel/Invariance.lean | 57 | 60 | theorem const_bind_eq_comp_const (κ : kernel α β) (μ : Measure α) :
const α (μ.bind κ) = κ ∘ₖ const α μ := by |
ext a s hs
simp_rw [comp_apply' _ _ _ hs, const_apply, Measure.bind_apply hs (kernel.measurable _)]
|
import Mathlib.Analysis.SpecialFunctions.Pow.Real
#align_import analysis.special_functions.pow.nnreal from "leanprover-community/mathlib"@"4fa54b337f7d52805480306db1b1439c741848c8"
noncomputable section
open scoped Classical
open Real NNReal ENNReal ComplexConjugate
open Finset Function Set
namespace NNReal
variable {w x y z : ℝ}
noncomputable def rpow (x : ℝ≥0) (y : ℝ) : ℝ≥0 :=
⟨(x : ℝ) ^ y, Real.rpow_nonneg x.2 y⟩
#align nnreal.rpow NNReal.rpow
noncomputable instance : Pow ℝ≥0 ℝ :=
⟨rpow⟩
@[simp]
theorem rpow_eq_pow (x : ℝ≥0) (y : ℝ) : rpow x y = x ^ y :=
rfl
#align nnreal.rpow_eq_pow NNReal.rpow_eq_pow
@[simp, norm_cast]
theorem coe_rpow (x : ℝ≥0) (y : ℝ) : ((x ^ y : ℝ≥0) : ℝ) = (x : ℝ) ^ y :=
rfl
#align nnreal.coe_rpow NNReal.coe_rpow
@[simp]
theorem rpow_zero (x : ℝ≥0) : x ^ (0 : ℝ) = 1 :=
NNReal.eq <| Real.rpow_zero _
#align nnreal.rpow_zero NNReal.rpow_zero
@[simp]
theorem rpow_eq_zero_iff {x : ℝ≥0} {y : ℝ} : x ^ y = 0 ↔ x = 0 ∧ y ≠ 0 := by
rw [← NNReal.coe_inj, coe_rpow, ← NNReal.coe_eq_zero]
exact Real.rpow_eq_zero_iff_of_nonneg x.2
#align nnreal.rpow_eq_zero_iff NNReal.rpow_eq_zero_iff
@[simp]
theorem zero_rpow {x : ℝ} (h : x ≠ 0) : (0 : ℝ≥0) ^ x = 0 :=
NNReal.eq <| Real.zero_rpow h
#align nnreal.zero_rpow NNReal.zero_rpow
@[simp]
theorem rpow_one (x : ℝ≥0) : x ^ (1 : ℝ) = x :=
NNReal.eq <| Real.rpow_one _
#align nnreal.rpow_one NNReal.rpow_one
@[simp]
theorem one_rpow (x : ℝ) : (1 : ℝ≥0) ^ x = 1 :=
NNReal.eq <| Real.one_rpow _
#align nnreal.one_rpow NNReal.one_rpow
theorem rpow_add {x : ℝ≥0} (hx : x ≠ 0) (y z : ℝ) : x ^ (y + z) = x ^ y * x ^ z :=
NNReal.eq <| Real.rpow_add (pos_iff_ne_zero.2 hx) _ _
#align nnreal.rpow_add NNReal.rpow_add
theorem rpow_add' (x : ℝ≥0) {y z : ℝ} (h : y + z ≠ 0) : x ^ (y + z) = x ^ y * x ^ z :=
NNReal.eq <| Real.rpow_add' x.2 h
#align nnreal.rpow_add' NNReal.rpow_add'
lemma rpow_of_add_eq (x : ℝ≥0) (hw : w ≠ 0) (h : y + z = w) : x ^ w = x ^ y * x ^ z := by
rw [← h, rpow_add']; rwa [h]
theorem rpow_mul (x : ℝ≥0) (y z : ℝ) : x ^ (y * z) = (x ^ y) ^ z :=
NNReal.eq <| Real.rpow_mul x.2 y z
#align nnreal.rpow_mul NNReal.rpow_mul
theorem rpow_neg (x : ℝ≥0) (y : ℝ) : x ^ (-y) = (x ^ y)⁻¹ :=
NNReal.eq <| Real.rpow_neg x.2 _
#align nnreal.rpow_neg NNReal.rpow_neg
theorem rpow_neg_one (x : ℝ≥0) : x ^ (-1 : ℝ) = x⁻¹ := by simp [rpow_neg]
#align nnreal.rpow_neg_one NNReal.rpow_neg_one
theorem rpow_sub {x : ℝ≥0} (hx : x ≠ 0) (y z : ℝ) : x ^ (y - z) = x ^ y / x ^ z :=
NNReal.eq <| Real.rpow_sub (pos_iff_ne_zero.2 hx) y z
#align nnreal.rpow_sub NNReal.rpow_sub
theorem rpow_sub' (x : ℝ≥0) {y z : ℝ} (h : y - z ≠ 0) : x ^ (y - z) = x ^ y / x ^ z :=
NNReal.eq <| Real.rpow_sub' x.2 h
#align nnreal.rpow_sub' NNReal.rpow_sub'
theorem rpow_inv_rpow_self {y : ℝ} (hy : y ≠ 0) (x : ℝ≥0) : (x ^ y) ^ (1 / y) = x := by
field_simp [← rpow_mul]
#align nnreal.rpow_inv_rpow_self NNReal.rpow_inv_rpow_self
theorem rpow_self_rpow_inv {y : ℝ} (hy : y ≠ 0) (x : ℝ≥0) : (x ^ (1 / y)) ^ y = x := by
field_simp [← rpow_mul]
#align nnreal.rpow_self_rpow_inv NNReal.rpow_self_rpow_inv
theorem inv_rpow (x : ℝ≥0) (y : ℝ) : x⁻¹ ^ y = (x ^ y)⁻¹ :=
NNReal.eq <| Real.inv_rpow x.2 y
#align nnreal.inv_rpow NNReal.inv_rpow
theorem div_rpow (x y : ℝ≥0) (z : ℝ) : (x / y) ^ z = x ^ z / y ^ z :=
NNReal.eq <| Real.div_rpow x.2 y.2 z
#align nnreal.div_rpow NNReal.div_rpow
theorem sqrt_eq_rpow (x : ℝ≥0) : sqrt x = x ^ (1 / (2 : ℝ)) := by
refine NNReal.eq ?_
push_cast
exact Real.sqrt_eq_rpow x.1
#align nnreal.sqrt_eq_rpow NNReal.sqrt_eq_rpow
@[simp, norm_cast]
theorem rpow_natCast (x : ℝ≥0) (n : ℕ) : x ^ (n : ℝ) = x ^ n :=
NNReal.eq <| by simpa only [coe_rpow, coe_pow] using Real.rpow_natCast x n
#align nnreal.rpow_nat_cast NNReal.rpow_natCast
@[deprecated (since := "2024-04-17")]
alias rpow_nat_cast := rpow_natCast
@[simp]
lemma rpow_ofNat (x : ℝ≥0) (n : ℕ) [n.AtLeastTwo] :
x ^ (no_index (OfNat.ofNat n) : ℝ) = x ^ (OfNat.ofNat n : ℕ) :=
rpow_natCast x n
theorem rpow_two (x : ℝ≥0) : x ^ (2 : ℝ) = x ^ 2 := rpow_ofNat x 2
#align nnreal.rpow_two NNReal.rpow_two
theorem mul_rpow {x y : ℝ≥0} {z : ℝ} : (x * y) ^ z = x ^ z * y ^ z :=
NNReal.eq <| Real.mul_rpow x.2 y.2
#align nnreal.mul_rpow NNReal.mul_rpow
@[simps]
def rpowMonoidHom (r : ℝ) : ℝ≥0 →* ℝ≥0 where
toFun := (· ^ r)
map_one' := one_rpow _
map_mul' _x _y := mul_rpow
theorem list_prod_map_rpow (l : List ℝ≥0) (r : ℝ) :
(l.map (· ^ r)).prod = l.prod ^ r :=
l.prod_hom (rpowMonoidHom r)
theorem list_prod_map_rpow' {ι} (l : List ι) (f : ι → ℝ≥0) (r : ℝ) :
(l.map (f · ^ r)).prod = (l.map f).prod ^ r := by
rw [← list_prod_map_rpow, List.map_map]; rfl
lemma multiset_prod_map_rpow {ι} (s : Multiset ι) (f : ι → ℝ≥0) (r : ℝ) :
(s.map (f · ^ r)).prod = (s.map f).prod ^ r :=
s.prod_hom' (rpowMonoidHom r) _
lemma finset_prod_rpow {ι} (s : Finset ι) (f : ι → ℝ≥0) (r : ℝ) :
(∏ i ∈ s, f i ^ r) = (∏ i ∈ s, f i) ^ r :=
multiset_prod_map_rpow _ _ _
-- note: these don't really belong here, but they're much easier to prove in terms of the above
@[gcongr] theorem rpow_le_rpow {x y : ℝ≥0} {z : ℝ} (h₁ : x ≤ y) (h₂ : 0 ≤ z) : x ^ z ≤ y ^ z :=
Real.rpow_le_rpow x.2 h₁ h₂
#align nnreal.rpow_le_rpow NNReal.rpow_le_rpow
@[gcongr] theorem rpow_lt_rpow {x y : ℝ≥0} {z : ℝ} (h₁ : x < y) (h₂ : 0 < z) : x ^ z < y ^ z :=
Real.rpow_lt_rpow x.2 h₁ h₂
#align nnreal.rpow_lt_rpow NNReal.rpow_lt_rpow
theorem rpow_lt_rpow_iff {x y : ℝ≥0} {z : ℝ} (hz : 0 < z) : x ^ z < y ^ z ↔ x < y :=
Real.rpow_lt_rpow_iff x.2 y.2 hz
#align nnreal.rpow_lt_rpow_iff NNReal.rpow_lt_rpow_iff
theorem rpow_le_rpow_iff {x y : ℝ≥0} {z : ℝ} (hz : 0 < z) : x ^ z ≤ y ^ z ↔ x ≤ y :=
Real.rpow_le_rpow_iff x.2 y.2 hz
#align nnreal.rpow_le_rpow_iff NNReal.rpow_le_rpow_iff
theorem le_rpow_one_div_iff {x y : ℝ≥0} {z : ℝ} (hz : 0 < z) : x ≤ y ^ (1 / z) ↔ x ^ z ≤ y := by
rw [← rpow_le_rpow_iff hz, rpow_self_rpow_inv hz.ne']
#align nnreal.le_rpow_one_div_iff NNReal.le_rpow_one_div_iff
theorem rpow_one_div_le_iff {x y : ℝ≥0} {z : ℝ} (hz : 0 < z) : x ^ (1 / z) ≤ y ↔ x ≤ y ^ z := by
rw [← rpow_le_rpow_iff hz, rpow_self_rpow_inv hz.ne']
#align nnreal.rpow_one_div_le_iff NNReal.rpow_one_div_le_iff
@[gcongr] theorem rpow_lt_rpow_of_exponent_lt {x : ℝ≥0} {y z : ℝ} (hx : 1 < x) (hyz : y < z) :
x ^ y < x ^ z :=
Real.rpow_lt_rpow_of_exponent_lt hx hyz
#align nnreal.rpow_lt_rpow_of_exponent_lt NNReal.rpow_lt_rpow_of_exponent_lt
@[gcongr] theorem rpow_le_rpow_of_exponent_le {x : ℝ≥0} {y z : ℝ} (hx : 1 ≤ x) (hyz : y ≤ z) :
x ^ y ≤ x ^ z :=
Real.rpow_le_rpow_of_exponent_le hx hyz
#align nnreal.rpow_le_rpow_of_exponent_le NNReal.rpow_le_rpow_of_exponent_le
theorem rpow_lt_rpow_of_exponent_gt {x : ℝ≥0} {y z : ℝ} (hx0 : 0 < x) (hx1 : x < 1) (hyz : z < y) :
x ^ y < x ^ z :=
Real.rpow_lt_rpow_of_exponent_gt hx0 hx1 hyz
#align nnreal.rpow_lt_rpow_of_exponent_gt NNReal.rpow_lt_rpow_of_exponent_gt
theorem rpow_le_rpow_of_exponent_ge {x : ℝ≥0} {y z : ℝ} (hx0 : 0 < x) (hx1 : x ≤ 1) (hyz : z ≤ y) :
x ^ y ≤ x ^ z :=
Real.rpow_le_rpow_of_exponent_ge hx0 hx1 hyz
#align nnreal.rpow_le_rpow_of_exponent_ge NNReal.rpow_le_rpow_of_exponent_ge
theorem rpow_pos {p : ℝ} {x : ℝ≥0} (hx_pos : 0 < x) : 0 < x ^ p := by
have rpow_pos_of_nonneg : ∀ {p : ℝ}, 0 < p → 0 < x ^ p := by
intro p hp_pos
rw [← zero_rpow hp_pos.ne']
exact rpow_lt_rpow hx_pos hp_pos
rcases lt_trichotomy (0 : ℝ) p with (hp_pos | rfl | hp_neg)
· exact rpow_pos_of_nonneg hp_pos
· simp only [zero_lt_one, rpow_zero]
· rw [← neg_neg p, rpow_neg, inv_pos]
exact rpow_pos_of_nonneg (neg_pos.mpr hp_neg)
#align nnreal.rpow_pos NNReal.rpow_pos
theorem rpow_lt_one {x : ℝ≥0} {z : ℝ} (hx1 : x < 1) (hz : 0 < z) : x ^ z < 1 :=
Real.rpow_lt_one (coe_nonneg x) hx1 hz
#align nnreal.rpow_lt_one NNReal.rpow_lt_one
theorem rpow_le_one {x : ℝ≥0} {z : ℝ} (hx2 : x ≤ 1) (hz : 0 ≤ z) : x ^ z ≤ 1 :=
Real.rpow_le_one x.2 hx2 hz
#align nnreal.rpow_le_one NNReal.rpow_le_one
theorem rpow_lt_one_of_one_lt_of_neg {x : ℝ≥0} {z : ℝ} (hx : 1 < x) (hz : z < 0) : x ^ z < 1 :=
Real.rpow_lt_one_of_one_lt_of_neg hx hz
#align nnreal.rpow_lt_one_of_one_lt_of_neg NNReal.rpow_lt_one_of_one_lt_of_neg
theorem rpow_le_one_of_one_le_of_nonpos {x : ℝ≥0} {z : ℝ} (hx : 1 ≤ x) (hz : z ≤ 0) : x ^ z ≤ 1 :=
Real.rpow_le_one_of_one_le_of_nonpos hx hz
#align nnreal.rpow_le_one_of_one_le_of_nonpos NNReal.rpow_le_one_of_one_le_of_nonpos
theorem one_lt_rpow {x : ℝ≥0} {z : ℝ} (hx : 1 < x) (hz : 0 < z) : 1 < x ^ z :=
Real.one_lt_rpow hx hz
#align nnreal.one_lt_rpow NNReal.one_lt_rpow
theorem one_le_rpow {x : ℝ≥0} {z : ℝ} (h : 1 ≤ x) (h₁ : 0 ≤ z) : 1 ≤ x ^ z :=
Real.one_le_rpow h h₁
#align nnreal.one_le_rpow NNReal.one_le_rpow
theorem one_lt_rpow_of_pos_of_lt_one_of_neg {x : ℝ≥0} {z : ℝ} (hx1 : 0 < x) (hx2 : x < 1)
(hz : z < 0) : 1 < x ^ z :=
Real.one_lt_rpow_of_pos_of_lt_one_of_neg hx1 hx2 hz
#align nnreal.one_lt_rpow_of_pos_of_lt_one_of_neg NNReal.one_lt_rpow_of_pos_of_lt_one_of_neg
theorem one_le_rpow_of_pos_of_le_one_of_nonpos {x : ℝ≥0} {z : ℝ} (hx1 : 0 < x) (hx2 : x ≤ 1)
(hz : z ≤ 0) : 1 ≤ x ^ z :=
Real.one_le_rpow_of_pos_of_le_one_of_nonpos hx1 hx2 hz
#align nnreal.one_le_rpow_of_pos_of_le_one_of_nonpos NNReal.one_le_rpow_of_pos_of_le_one_of_nonpos
theorem rpow_le_self_of_le_one {x : ℝ≥0} {z : ℝ} (hx : x ≤ 1) (h_one_le : 1 ≤ z) : x ^ z ≤ x := by
rcases eq_bot_or_bot_lt x with (rfl | (h : 0 < x))
· have : z ≠ 0 := by linarith
simp [this]
nth_rw 2 [← NNReal.rpow_one x]
exact NNReal.rpow_le_rpow_of_exponent_ge h hx h_one_le
#align nnreal.rpow_le_self_of_le_one NNReal.rpow_le_self_of_le_one
theorem rpow_left_injective {x : ℝ} (hx : x ≠ 0) : Function.Injective fun y : ℝ≥0 => y ^ x :=
fun y z hyz => by simpa only [rpow_inv_rpow_self hx] using congr_arg (fun y => y ^ (1 / x)) hyz
#align nnreal.rpow_left_injective NNReal.rpow_left_injective
theorem rpow_eq_rpow_iff {x y : ℝ≥0} {z : ℝ} (hz : z ≠ 0) : x ^ z = y ^ z ↔ x = y :=
(rpow_left_injective hz).eq_iff
#align nnreal.rpow_eq_rpow_iff NNReal.rpow_eq_rpow_iff
theorem rpow_left_surjective {x : ℝ} (hx : x ≠ 0) : Function.Surjective fun y : ℝ≥0 => y ^ x :=
fun y => ⟨y ^ x⁻¹, by simp_rw [← rpow_mul, _root_.inv_mul_cancel hx, rpow_one]⟩
#align nnreal.rpow_left_surjective NNReal.rpow_left_surjective
theorem rpow_left_bijective {x : ℝ} (hx : x ≠ 0) : Function.Bijective fun y : ℝ≥0 => y ^ x :=
⟨rpow_left_injective hx, rpow_left_surjective hx⟩
#align nnreal.rpow_left_bijective NNReal.rpow_left_bijective
theorem eq_rpow_one_div_iff {x y : ℝ≥0} {z : ℝ} (hz : z ≠ 0) : x = y ^ (1 / z) ↔ x ^ z = y := by
rw [← rpow_eq_rpow_iff hz, rpow_self_rpow_inv hz]
#align nnreal.eq_rpow_one_div_iff NNReal.eq_rpow_one_div_iff
theorem rpow_one_div_eq_iff {x y : ℝ≥0} {z : ℝ} (hz : z ≠ 0) : x ^ (1 / z) = y ↔ x = y ^ z := by
rw [← rpow_eq_rpow_iff hz, rpow_self_rpow_inv hz]
#align nnreal.rpow_one_div_eq_iff NNReal.rpow_one_div_eq_iff
@[simp] lemma rpow_rpow_inv {y : ℝ} (hy : y ≠ 0) (x : ℝ≥0) : (x ^ y) ^ y⁻¹ = x := by
rw [← rpow_mul, mul_inv_cancel hy, rpow_one]
@[simp] lemma rpow_inv_rpow {y : ℝ} (hy : y ≠ 0) (x : ℝ≥0) : (x ^ y⁻¹) ^ y = x := by
rw [← rpow_mul, inv_mul_cancel hy, rpow_one]
theorem pow_rpow_inv_natCast (x : ℝ≥0) {n : ℕ} (hn : n ≠ 0) : (x ^ n) ^ (n⁻¹ : ℝ) = x := by
rw [← NNReal.coe_inj, coe_rpow, NNReal.coe_pow]
exact Real.pow_rpow_inv_natCast x.2 hn
#align nnreal.pow_nat_rpow_nat_inv NNReal.pow_rpow_inv_natCast
theorem rpow_inv_natCast_pow (x : ℝ≥0) {n : ℕ} (hn : n ≠ 0) : (x ^ (n⁻¹ : ℝ)) ^ n = x := by
rw [← NNReal.coe_inj, NNReal.coe_pow, coe_rpow]
exact Real.rpow_inv_natCast_pow x.2 hn
#align nnreal.rpow_nat_inv_pow_nat NNReal.rpow_inv_natCast_pow
theorem _root_.Real.toNNReal_rpow_of_nonneg {x y : ℝ} (hx : 0 ≤ x) :
Real.toNNReal (x ^ y) = Real.toNNReal x ^ y := by
nth_rw 1 [← Real.coe_toNNReal x hx]
rw [← NNReal.coe_rpow, Real.toNNReal_coe]
#align real.to_nnreal_rpow_of_nonneg Real.toNNReal_rpow_of_nonneg
theorem strictMono_rpow_of_pos {z : ℝ} (h : 0 < z) : StrictMono fun x : ℝ≥0 => x ^ z :=
fun x y hxy => by simp only [NNReal.rpow_lt_rpow hxy h, coe_lt_coe]
theorem monotone_rpow_of_nonneg {z : ℝ} (h : 0 ≤ z) : Monotone fun x : ℝ≥0 => x ^ z :=
h.eq_or_lt.elim (fun h0 => h0 ▸ by simp only [rpow_zero, monotone_const]) fun h0 =>
(strictMono_rpow_of_pos h0).monotone
@[simps! apply]
def orderIsoRpow (y : ℝ) (hy : 0 < y) : ℝ≥0 ≃o ℝ≥0 :=
(strictMono_rpow_of_pos hy).orderIsoOfRightInverse (fun x => x ^ y) (fun x => x ^ (1 / y))
fun x => by
dsimp
rw [← rpow_mul, one_div_mul_cancel hy.ne.symm, rpow_one]
| Mathlib/Analysis/SpecialFunctions/Pow/NNReal.lean | 371 | 373 | theorem orderIsoRpow_symm_eq (y : ℝ) (hy : 0 < y) :
(orderIsoRpow y hy).symm = orderIsoRpow (1 / y) (one_div_pos.2 hy) := by |
simp only [orderIsoRpow, one_div_one_div]; rfl
|
import Mathlib.MeasureTheory.Measure.Haar.Basic
import Mathlib.Analysis.InnerProductSpace.PiL2
#align_import measure_theory.measure.haar.of_basis from "leanprover-community/mathlib"@"92bd7b1ffeb306a89f450bee126ddd8a284c259d"
open Set TopologicalSpace MeasureTheory MeasureTheory.Measure FiniteDimensional
open scoped Pointwise
noncomputable section
variable {ι ι' E F : Type*}
section Fintype
variable [Fintype ι] [Fintype ι']
section AddCommGroup
variable [AddCommGroup E] [Module ℝ E] [AddCommGroup F] [Module ℝ F]
def parallelepiped (v : ι → E) : Set E :=
(fun t : ι → ℝ => ∑ i, t i • v i) '' Icc 0 1
#align parallelepiped parallelepiped
theorem mem_parallelepiped_iff (v : ι → E) (x : E) :
x ∈ parallelepiped v ↔ ∃ t ∈ Icc (0 : ι → ℝ) 1, x = ∑ i, t i • v i := by
simp [parallelepiped, eq_comm]
#align mem_parallelepiped_iff mem_parallelepiped_iff
| Mathlib/MeasureTheory/Measure/Haar/OfBasis.lean | 57 | 65 | theorem parallelepiped_basis_eq (b : Basis ι ℝ E) :
parallelepiped b = {x | ∀ i, b.repr x i ∈ Set.Icc 0 1} := by |
classical
ext x
simp_rw [mem_parallelepiped_iff, mem_setOf_eq, b.ext_elem_iff, _root_.map_sum,
_root_.map_smul, Finset.sum_apply', Basis.repr_self, Finsupp.smul_single, smul_eq_mul,
mul_one, Finsupp.single_apply, Finset.sum_ite_eq', Finset.mem_univ, ite_true, mem_Icc,
Pi.le_def, Pi.zero_apply, Pi.one_apply, ← forall_and]
aesop
|
import Mathlib.Algebra.BigOperators.Group.Finset
import Mathlib.Data.Fintype.Card
#align_import data.multiset.fintype from "leanprover-community/mathlib"@"e3d9ab8faa9dea8f78155c6c27d62a621f4c152d"
variable {α : Type*} [DecidableEq α] {m : Multiset α}
def Multiset.ToType (m : Multiset α) : Type _ := (x : α) × Fin (m.count x)
#align multiset.to_type Multiset.ToType
instance : CoeSort (Multiset α) (Type _) := ⟨Multiset.ToType⟩
example : DecidableEq m := inferInstanceAs <| DecidableEq ((x : α) × Fin (m.count x))
-- Porting note: syntactic equality
#noalign multiset.coe_sort_eq
@[reducible, match_pattern]
def Multiset.mkToType (m : Multiset α) (x : α) (i : Fin (m.count x)) : m :=
⟨x, i⟩
#align multiset.mk_to_type Multiset.mkToType
instance instCoeSortMultisetType.instCoeOutToType : CoeOut m α :=
⟨fun x ↦ x.1⟩
#align multiset.has_coe_to_sort.has_coe instCoeSortMultisetType.instCoeOutToTypeₓ
-- Porting note: syntactic equality
#noalign multiset.fst_coe_eq_coe
-- Syntactic equality
#noalign multiset.coe_eq
-- @[simp] -- Porting note (#10685): dsimp can prove this
theorem Multiset.coe_mk {x : α} {i : Fin (m.count x)} : ↑(m.mkToType x i) = x :=
rfl
#align multiset.coe_mk Multiset.coe_mk
@[simp] lemma Multiset.coe_mem {x : m} : ↑x ∈ m := Multiset.count_pos.mp (by have := x.2.2; omega)
#align multiset.coe_mem Multiset.coe_mem
@[simp]
protected theorem Multiset.forall_coe (p : m → Prop) :
(∀ x : m, p x) ↔ ∀ (x : α) (i : Fin (m.count x)), p ⟨x, i⟩ :=
Sigma.forall
#align multiset.forall_coe Multiset.forall_coe
@[simp]
protected theorem Multiset.exists_coe (p : m → Prop) :
(∃ x : m, p x) ↔ ∃ (x : α) (i : Fin (m.count x)), p ⟨x, i⟩ :=
Sigma.exists
#align multiset.exists_coe Multiset.exists_coe
instance : Fintype { p : α × ℕ | p.2 < m.count p.1 } :=
Fintype.ofFinset
(m.toFinset.biUnion fun x ↦ (Finset.range (m.count x)).map ⟨Prod.mk x, Prod.mk.inj_left x⟩)
(by
rintro ⟨x, i⟩
simp only [Finset.mem_biUnion, Multiset.mem_toFinset, Finset.mem_map, Finset.mem_range,
Function.Embedding.coeFn_mk, Prod.mk.inj_iff, Set.mem_setOf_eq]
simp only [← and_assoc, exists_eq_right, and_iff_right_iff_imp]
exact fun h ↦ Multiset.count_pos.mp (by omega))
def Multiset.toEnumFinset (m : Multiset α) : Finset (α × ℕ) :=
{ p : α × ℕ | p.2 < m.count p.1 }.toFinset
#align multiset.to_enum_finset Multiset.toEnumFinset
@[simp]
theorem Multiset.mem_toEnumFinset (m : Multiset α) (p : α × ℕ) :
p ∈ m.toEnumFinset ↔ p.2 < m.count p.1 :=
Set.mem_toFinset
#align multiset.mem_to_enum_finset Multiset.mem_toEnumFinset
theorem Multiset.mem_of_mem_toEnumFinset {p : α × ℕ} (h : p ∈ m.toEnumFinset) : p.1 ∈ m :=
have := (m.mem_toEnumFinset p).mp h; Multiset.count_pos.mp (by omega)
#align multiset.mem_of_mem_to_enum_finset Multiset.mem_of_mem_toEnumFinset
@[mono]
| Mathlib/Data/Multiset/Fintype.lean | 122 | 126 | theorem Multiset.toEnumFinset_mono {m₁ m₂ : Multiset α} (h : m₁ ≤ m₂) :
m₁.toEnumFinset ⊆ m₂.toEnumFinset := by |
intro p
simp only [Multiset.mem_toEnumFinset]
exact gt_of_ge_of_gt (Multiset.le_iff_count.mp h p.1)
|
import Mathlib.Algebra.Category.ModuleCat.Free
import Mathlib.Topology.Category.Profinite.CofilteredLimit
import Mathlib.Topology.Category.Profinite.Product
import Mathlib.Topology.LocallyConstant.Algebra
import Mathlib.Init.Data.Bool.Lemmas
universe u
namespace Profinite
namespace NobelingProof
variable {I : Type u} [LinearOrder I] [IsWellOrder I (·<·)] (C : Set (I → Bool))
open Profinite ContinuousMap CategoryTheory Limits Opposite Submodule
section Products
def e (i : I) : LocallyConstant C ℤ where
toFun := fun f ↦ (if f.val i then 1 else 0)
isLocallyConstant := by
rw [IsLocallyConstant.iff_continuous]
exact (continuous_of_discreteTopology (f := fun (a : Bool) ↦ (if a then (1 : ℤ) else 0))).comp
((continuous_apply i).comp continuous_subtype_val)
def Products (I : Type*) [LinearOrder I] := {l : List I // l.Chain' (·>·)}
namespace Products
instance : LinearOrder (Products I) :=
inferInstanceAs (LinearOrder {l : List I // l.Chain' (·>·)})
@[simp]
| Mathlib/Topology/Category/Profinite/Nobeling.lean | 309 | 310 | theorem lt_iff_lex_lt (l m : Products I) : l < m ↔ List.Lex (·<·) l.val m.val := by |
cases l; cases m; rw [Subtype.mk_lt_mk]; exact Iff.rfl
|
import Mathlib.Algebra.Ring.Prod
import Mathlib.GroupTheory.OrderOfElement
import Mathlib.Tactic.FinCases
#align_import data.zmod.basic from "leanprover-community/mathlib"@"74ad1c88c77e799d2fea62801d1dbbd698cff1b7"
assert_not_exists Submodule
open Function
namespace ZMod
instance charZero : CharZero (ZMod 0) := inferInstanceAs (CharZero ℤ)
def val : ∀ {n : ℕ}, ZMod n → ℕ
| 0 => Int.natAbs
| n + 1 => ((↑) : Fin (n + 1) → ℕ)
#align zmod.val ZMod.val
theorem val_lt {n : ℕ} [NeZero n] (a : ZMod n) : a.val < n := by
cases n
· cases NeZero.ne 0 rfl
exact Fin.is_lt a
#align zmod.val_lt ZMod.val_lt
theorem val_le {n : ℕ} [NeZero n] (a : ZMod n) : a.val ≤ n :=
a.val_lt.le
#align zmod.val_le ZMod.val_le
@[simp]
theorem val_zero : ∀ {n}, (0 : ZMod n).val = 0
| 0 => rfl
| _ + 1 => rfl
#align zmod.val_zero ZMod.val_zero
@[simp]
theorem val_one' : (1 : ZMod 0).val = 1 :=
rfl
#align zmod.val_one' ZMod.val_one'
@[simp]
theorem val_neg' {n : ZMod 0} : (-n).val = n.val :=
Int.natAbs_neg n
#align zmod.val_neg' ZMod.val_neg'
@[simp]
theorem val_mul' {m n : ZMod 0} : (m * n).val = m.val * n.val :=
Int.natAbs_mul m n
#align zmod.val_mul' ZMod.val_mul'
@[simp]
theorem val_natCast {n : ℕ} (a : ℕ) : (a : ZMod n).val = a % n := by
cases n
· rw [Nat.mod_zero]
exact Int.natAbs_ofNat a
· apply Fin.val_natCast
#align zmod.val_nat_cast ZMod.val_natCast
@[deprecated (since := "2024-04-17")]
alias val_nat_cast := val_natCast
theorem val_unit' {n : ZMod 0} : IsUnit n ↔ n.val = 1 := by
simp only [val]
rw [Int.isUnit_iff, Int.natAbs_eq_iff, Nat.cast_one]
lemma eq_one_of_isUnit_natCast {n : ℕ} (h : IsUnit (n : ZMod 0)) : n = 1 := by
rw [← Nat.mod_zero n, ← val_natCast, val_unit'.mp h]
theorem val_natCast_of_lt {n a : ℕ} (h : a < n) : (a : ZMod n).val = a := by
rwa [val_natCast, Nat.mod_eq_of_lt]
@[deprecated (since := "2024-04-17")]
alias val_nat_cast_of_lt := val_natCast_of_lt
instance charP (n : ℕ) : CharP (ZMod n) n where
cast_eq_zero_iff' := by
intro k
cases' n with n
· simp [zero_dvd_iff, Int.natCast_eq_zero, Nat.zero_eq]
· exact Fin.natCast_eq_zero
@[simp]
theorem addOrderOf_one (n : ℕ) : addOrderOf (1 : ZMod n) = n :=
CharP.eq _ (CharP.addOrderOf_one _) (ZMod.charP n)
#align zmod.add_order_of_one ZMod.addOrderOf_one
@[simp]
theorem addOrderOf_coe (a : ℕ) {n : ℕ} (n0 : n ≠ 0) : addOrderOf (a : ZMod n) = n / n.gcd a := by
cases' a with a
· simp only [Nat.zero_eq, Nat.cast_zero, addOrderOf_zero, Nat.gcd_zero_right,
Nat.pos_of_ne_zero n0, Nat.div_self]
rw [← Nat.smul_one_eq_cast, addOrderOf_nsmul' _ a.succ_ne_zero, ZMod.addOrderOf_one]
#align zmod.add_order_of_coe ZMod.addOrderOf_coe
@[simp]
theorem addOrderOf_coe' {a : ℕ} (n : ℕ) (a0 : a ≠ 0) : addOrderOf (a : ZMod n) = n / n.gcd a := by
rw [← Nat.smul_one_eq_cast, addOrderOf_nsmul' _ a0, ZMod.addOrderOf_one]
#align zmod.add_order_of_coe' ZMod.addOrderOf_coe'
theorem ringChar_zmod_n (n : ℕ) : ringChar (ZMod n) = n := by
rw [ringChar.eq_iff]
exact ZMod.charP n
#align zmod.ring_char_zmod_n ZMod.ringChar_zmod_n
-- @[simp] -- Porting note (#10618): simp can prove this
theorem natCast_self (n : ℕ) : (n : ZMod n) = 0 :=
CharP.cast_eq_zero (ZMod n) n
#align zmod.nat_cast_self ZMod.natCast_self
@[deprecated (since := "2024-04-17")]
alias nat_cast_self := natCast_self
@[simp]
theorem natCast_self' (n : ℕ) : (n + 1 : ZMod (n + 1)) = 0 := by
rw [← Nat.cast_add_one, natCast_self (n + 1)]
#align zmod.nat_cast_self' ZMod.natCast_self'
@[deprecated (since := "2024-04-17")]
alias nat_cast_self' := natCast_self'
section UniversalProperty
variable {n : ℕ} {R : Type*}
section
variable [AddGroupWithOne R]
def cast : ∀ {n : ℕ}, ZMod n → R
| 0 => Int.cast
| _ + 1 => fun i => i.val
#align zmod.cast ZMod.cast
@[simp]
theorem cast_zero : (cast (0 : ZMod n) : R) = 0 := by
delta ZMod.cast
cases n
· exact Int.cast_zero
· simp
#align zmod.cast_zero ZMod.cast_zero
theorem cast_eq_val [NeZero n] (a : ZMod n) : (cast a : R) = a.val := by
cases n
· cases NeZero.ne 0 rfl
rfl
#align zmod.cast_eq_val ZMod.cast_eq_val
variable {S : Type*} [AddGroupWithOne S]
@[simp]
theorem _root_.Prod.fst_zmod_cast (a : ZMod n) : (cast a : R × S).fst = cast a := by
cases n
· rfl
· simp [ZMod.cast]
#align prod.fst_zmod_cast Prod.fst_zmod_cast
@[simp]
theorem _root_.Prod.snd_zmod_cast (a : ZMod n) : (cast a : R × S).snd = cast a := by
cases n
· rfl
· simp [ZMod.cast]
#align prod.snd_zmod_cast Prod.snd_zmod_cast
end
theorem natCast_zmod_val {n : ℕ} [NeZero n] (a : ZMod n) : (a.val : ZMod n) = a := by
cases n
· cases NeZero.ne 0 rfl
· apply Fin.cast_val_eq_self
#align zmod.nat_cast_zmod_val ZMod.natCast_zmod_val
@[deprecated (since := "2024-04-17")]
alias nat_cast_zmod_val := natCast_zmod_val
theorem natCast_rightInverse [NeZero n] : Function.RightInverse val ((↑) : ℕ → ZMod n) :=
natCast_zmod_val
#align zmod.nat_cast_right_inverse ZMod.natCast_rightInverse
@[deprecated (since := "2024-04-17")]
alias nat_cast_rightInverse := natCast_rightInverse
theorem natCast_zmod_surjective [NeZero n] : Function.Surjective ((↑) : ℕ → ZMod n) :=
natCast_rightInverse.surjective
#align zmod.nat_cast_zmod_surjective ZMod.natCast_zmod_surjective
@[deprecated (since := "2024-04-17")]
alias nat_cast_zmod_surjective := natCast_zmod_surjective
@[norm_cast]
theorem intCast_zmod_cast (a : ZMod n) : ((cast a : ℤ) : ZMod n) = a := by
cases n
· simp [ZMod.cast, ZMod]
· dsimp [ZMod.cast, ZMod]
erw [Int.cast_natCast, Fin.cast_val_eq_self]
#align zmod.int_cast_zmod_cast ZMod.intCast_zmod_cast
@[deprecated (since := "2024-04-17")]
alias int_cast_zmod_cast := intCast_zmod_cast
theorem intCast_rightInverse : Function.RightInverse (cast : ZMod n → ℤ) ((↑) : ℤ → ZMod n) :=
intCast_zmod_cast
#align zmod.int_cast_right_inverse ZMod.intCast_rightInverse
@[deprecated (since := "2024-04-17")]
alias int_cast_rightInverse := intCast_rightInverse
theorem intCast_surjective : Function.Surjective ((↑) : ℤ → ZMod n) :=
intCast_rightInverse.surjective
#align zmod.int_cast_surjective ZMod.intCast_surjective
@[deprecated (since := "2024-04-17")]
alias int_cast_surjective := intCast_surjective
theorem cast_id : ∀ (n) (i : ZMod n), (ZMod.cast i : ZMod n) = i
| 0, _ => Int.cast_id
| _ + 1, i => natCast_zmod_val i
#align zmod.cast_id ZMod.cast_id
@[simp]
theorem cast_id' : (ZMod.cast : ZMod n → ZMod n) = id :=
funext (cast_id n)
#align zmod.cast_id' ZMod.cast_id'
variable (R) [Ring R]
@[simp]
theorem natCast_comp_val [NeZero n] : ((↑) : ℕ → R) ∘ (val : ZMod n → ℕ) = cast := by
cases n
· cases NeZero.ne 0 rfl
rfl
#align zmod.nat_cast_comp_val ZMod.natCast_comp_val
@[deprecated (since := "2024-04-17")]
alias nat_cast_comp_val := natCast_comp_val
@[simp]
theorem intCast_comp_cast : ((↑) : ℤ → R) ∘ (cast : ZMod n → ℤ) = cast := by
cases n
· exact congr_arg (Int.cast ∘ ·) ZMod.cast_id'
· ext
simp [ZMod, ZMod.cast]
#align zmod.int_cast_comp_cast ZMod.intCast_comp_cast
@[deprecated (since := "2024-04-17")]
alias int_cast_comp_cast := intCast_comp_cast
variable {R}
@[simp]
theorem natCast_val [NeZero n] (i : ZMod n) : (i.val : R) = cast i :=
congr_fun (natCast_comp_val R) i
#align zmod.nat_cast_val ZMod.natCast_val
@[deprecated (since := "2024-04-17")]
alias nat_cast_val := natCast_val
@[simp]
theorem intCast_cast (i : ZMod n) : ((cast i : ℤ) : R) = cast i :=
congr_fun (intCast_comp_cast R) i
#align zmod.int_cast_cast ZMod.intCast_cast
@[deprecated (since := "2024-04-17")]
alias int_cast_cast := intCast_cast
theorem cast_add_eq_ite {n : ℕ} (a b : ZMod n) :
(cast (a + b) : ℤ) =
if (n : ℤ) ≤ cast a + cast b then (cast a + cast b - n : ℤ) else cast a + cast b := by
cases' n with n
· simp; rfl
change Fin (n + 1) at a b
change ((((a + b) : Fin (n + 1)) : ℕ) : ℤ) = if ((n + 1 : ℕ) : ℤ) ≤ (a : ℕ) + b then _ else _
simp only [Fin.val_add_eq_ite, Int.ofNat_succ, Int.ofNat_le]
norm_cast
split_ifs with h
· rw [Nat.cast_sub h]
congr
· rfl
#align zmod.coe_add_eq_ite ZMod.cast_add_eq_ite
theorem intCast_eq_intCast_iff (a b : ℤ) (c : ℕ) : (a : ZMod c) = (b : ZMod c) ↔ a ≡ b [ZMOD c] :=
CharP.intCast_eq_intCast (ZMod c) c
#align zmod.int_coe_eq_int_coe_iff ZMod.intCast_eq_intCast_iff
@[deprecated (since := "2024-04-17")]
alias int_cast_eq_int_cast_iff := intCast_eq_intCast_iff
theorem intCast_eq_intCast_iff' (a b : ℤ) (c : ℕ) : (a : ZMod c) = (b : ZMod c) ↔ a % c = b % c :=
ZMod.intCast_eq_intCast_iff a b c
#align zmod.int_coe_eq_int_coe_iff' ZMod.intCast_eq_intCast_iff'
@[deprecated (since := "2024-04-17")]
alias int_cast_eq_int_cast_iff' := intCast_eq_intCast_iff'
theorem natCast_eq_natCast_iff (a b c : ℕ) : (a : ZMod c) = (b : ZMod c) ↔ a ≡ b [MOD c] := by
simpa [Int.natCast_modEq_iff] using ZMod.intCast_eq_intCast_iff a b c
#align zmod.nat_coe_eq_nat_coe_iff ZMod.natCast_eq_natCast_iff
@[deprecated (since := "2024-04-17")]
alias nat_cast_eq_nat_cast_iff := natCast_eq_natCast_iff
theorem natCast_eq_natCast_iff' (a b c : ℕ) : (a : ZMod c) = (b : ZMod c) ↔ a % c = b % c :=
ZMod.natCast_eq_natCast_iff a b c
#align zmod.nat_coe_eq_nat_coe_iff' ZMod.natCast_eq_natCast_iff'
@[deprecated (since := "2024-04-17")]
alias nat_cast_eq_nat_cast_iff' := natCast_eq_natCast_iff'
theorem intCast_zmod_eq_zero_iff_dvd (a : ℤ) (b : ℕ) : (a : ZMod b) = 0 ↔ (b : ℤ) ∣ a := by
rw [← Int.cast_zero, ZMod.intCast_eq_intCast_iff, Int.modEq_zero_iff_dvd]
#align zmod.int_coe_zmod_eq_zero_iff_dvd ZMod.intCast_zmod_eq_zero_iff_dvd
@[deprecated (since := "2024-04-17")]
alias int_cast_zmod_eq_zero_iff_dvd := intCast_zmod_eq_zero_iff_dvd
theorem intCast_eq_intCast_iff_dvd_sub (a b : ℤ) (c : ℕ) : (a : ZMod c) = ↑b ↔ ↑c ∣ b - a := by
rw [ZMod.intCast_eq_intCast_iff, Int.modEq_iff_dvd]
#align zmod.int_coe_eq_int_coe_iff_dvd_sub ZMod.intCast_eq_intCast_iff_dvd_sub
@[deprecated (since := "2024-04-17")]
alias int_cast_eq_int_cast_iff_dvd_sub := intCast_eq_intCast_iff_dvd_sub
theorem natCast_zmod_eq_zero_iff_dvd (a b : ℕ) : (a : ZMod b) = 0 ↔ b ∣ a := by
rw [← Nat.cast_zero, ZMod.natCast_eq_natCast_iff, Nat.modEq_zero_iff_dvd]
#align zmod.nat_coe_zmod_eq_zero_iff_dvd ZMod.natCast_zmod_eq_zero_iff_dvd
@[deprecated (since := "2024-04-17")]
alias nat_cast_zmod_eq_zero_iff_dvd := natCast_zmod_eq_zero_iff_dvd
theorem val_intCast {n : ℕ} (a : ℤ) [NeZero n] : ↑(a : ZMod n).val = a % n := by
have hle : (0 : ℤ) ≤ ↑(a : ZMod n).val := Int.natCast_nonneg _
have hlt : ↑(a : ZMod n).val < (n : ℤ) := Int.ofNat_lt.mpr (ZMod.val_lt a)
refine (Int.emod_eq_of_lt hle hlt).symm.trans ?_
rw [← ZMod.intCast_eq_intCast_iff', Int.cast_natCast, ZMod.natCast_val, ZMod.cast_id]
#align zmod.val_int_cast ZMod.val_intCast
@[deprecated (since := "2024-04-17")]
alias val_int_cast := val_intCast
theorem coe_intCast {n : ℕ} (a : ℤ) : cast (a : ZMod n) = a % n := by
cases n
· rw [Int.ofNat_zero, Int.emod_zero, Int.cast_id]; rfl
· rw [← val_intCast, val]; rfl
#align zmod.coe_int_cast ZMod.coe_intCast
@[deprecated (since := "2024-04-17")]
alias coe_int_cast := coe_intCast
@[simp]
theorem val_neg_one (n : ℕ) : (-1 : ZMod n.succ).val = n := by
dsimp [val, Fin.coe_neg]
cases n
· simp [Nat.mod_one]
· dsimp [ZMod, ZMod.cast]
rw [Fin.coe_neg_one]
#align zmod.val_neg_one ZMod.val_neg_one
theorem cast_neg_one {R : Type*} [Ring R] (n : ℕ) : cast (-1 : ZMod n) = (n - 1 : R) := by
cases' n with n
· dsimp [ZMod, ZMod.cast]; simp
· rw [← natCast_val, val_neg_one, Nat.cast_succ, add_sub_cancel_right]
#align zmod.cast_neg_one ZMod.cast_neg_one
theorem cast_sub_one {R : Type*} [Ring R] {n : ℕ} (k : ZMod n) :
(cast (k - 1 : ZMod n) : R) = (if k = 0 then (n : R) else cast k) - 1 := by
split_ifs with hk
· rw [hk, zero_sub, ZMod.cast_neg_one]
· cases n
· dsimp [ZMod, ZMod.cast]
rw [Int.cast_sub, Int.cast_one]
· dsimp [ZMod, ZMod.cast, ZMod.val]
rw [Fin.coe_sub_one, if_neg]
· rw [Nat.cast_sub, Nat.cast_one]
rwa [Fin.ext_iff, Fin.val_zero, ← Ne, ← Nat.one_le_iff_ne_zero] at hk
· exact hk
#align zmod.cast_sub_one ZMod.cast_sub_one
theorem natCast_eq_iff (p : ℕ) (n : ℕ) (z : ZMod p) [NeZero p] :
↑n = z ↔ ∃ k, n = z.val + p * k := by
constructor
· rintro rfl
refine ⟨n / p, ?_⟩
rw [val_natCast, Nat.mod_add_div]
· rintro ⟨k, rfl⟩
rw [Nat.cast_add, natCast_zmod_val, Nat.cast_mul, natCast_self, zero_mul,
add_zero]
#align zmod.nat_coe_zmod_eq_iff ZMod.natCast_eq_iff
theorem intCast_eq_iff (p : ℕ) (n : ℤ) (z : ZMod p) [NeZero p] :
↑n = z ↔ ∃ k, n = z.val + p * k := by
constructor
· rintro rfl
refine ⟨n / p, ?_⟩
rw [val_intCast, Int.emod_add_ediv]
· rintro ⟨k, rfl⟩
rw [Int.cast_add, Int.cast_mul, Int.cast_natCast, Int.cast_natCast, natCast_val,
ZMod.natCast_self, zero_mul, add_zero, cast_id]
#align zmod.int_coe_zmod_eq_iff ZMod.intCast_eq_iff
@[deprecated (since := "2024-05-25")] alias nat_coe_zmod_eq_iff := natCast_eq_iff
@[deprecated (since := "2024-05-25")] alias int_coe_zmod_eq_iff := intCast_eq_iff
@[push_cast, simp]
theorem intCast_mod (a : ℤ) (b : ℕ) : ((a % b : ℤ) : ZMod b) = (a : ZMod b) := by
rw [ZMod.intCast_eq_intCast_iff]
apply Int.mod_modEq
#align zmod.int_cast_mod ZMod.intCast_mod
@[deprecated (since := "2024-04-17")]
alias int_cast_mod := intCast_mod
theorem ker_intCastAddHom (n : ℕ) :
(Int.castAddHom (ZMod n)).ker = AddSubgroup.zmultiples (n : ℤ) := by
ext
rw [Int.mem_zmultiples_iff, AddMonoidHom.mem_ker, Int.coe_castAddHom,
intCast_zmod_eq_zero_iff_dvd]
#align zmod.ker_int_cast_add_hom ZMod.ker_intCastAddHom
@[deprecated (since := "2024-04-17")]
alias ker_int_castAddHom := ker_intCastAddHom
theorem cast_injective_of_le {m n : ℕ} [nzm : NeZero m] (h : m ≤ n) :
Function.Injective (@cast (ZMod n) _ m) := by
cases m with
| zero => cases nzm; simp_all
| succ m =>
rintro ⟨x, hx⟩ ⟨y, hy⟩ f
simp only [cast, val, natCast_eq_natCast_iff',
Nat.mod_eq_of_lt (hx.trans_le h), Nat.mod_eq_of_lt (hy.trans_le h)] at f
apply Fin.ext
exact f
theorem cast_zmod_eq_zero_iff_of_le {m n : ℕ} [NeZero m] (h : m ≤ n) (a : ZMod m) :
(cast a : ZMod n) = 0 ↔ a = 0 := by
rw [← ZMod.cast_zero (n := m)]
exact Injective.eq_iff' (cast_injective_of_le h) rfl
-- Porting note: commented
-- unseal Int.NonNeg
@[simp]
theorem natCast_toNat (p : ℕ) : ∀ {z : ℤ} (_h : 0 ≤ z), (z.toNat : ZMod p) = z
| (n : ℕ), _h => by simp only [Int.cast_natCast, Int.toNat_natCast]
| Int.negSucc n, h => by simp at h
#align zmod.nat_cast_to_nat ZMod.natCast_toNat
@[deprecated (since := "2024-04-17")]
alias nat_cast_toNat := natCast_toNat
theorem val_injective (n : ℕ) [NeZero n] : Function.Injective (val : ZMod n → ℕ) := by
cases n
· cases NeZero.ne 0 rfl
intro a b h
dsimp [ZMod]
ext
exact h
#align zmod.val_injective ZMod.val_injective
theorem val_one_eq_one_mod (n : ℕ) : (1 : ZMod n).val = 1 % n := by
rw [← Nat.cast_one, val_natCast]
#align zmod.val_one_eq_one_mod ZMod.val_one_eq_one_mod
theorem val_one (n : ℕ) [Fact (1 < n)] : (1 : ZMod n).val = 1 := by
rw [val_one_eq_one_mod]
exact Nat.mod_eq_of_lt Fact.out
#align zmod.val_one ZMod.val_one
theorem val_add {n : ℕ} [NeZero n] (a b : ZMod n) : (a + b).val = (a.val + b.val) % n := by
cases n
· cases NeZero.ne 0 rfl
· apply Fin.val_add
#align zmod.val_add ZMod.val_add
theorem val_add_of_lt {n : ℕ} {a b : ZMod n} (h : a.val + b.val < n) :
(a + b).val = a.val + b.val := by
have : NeZero n := by constructor; rintro rfl; simp at h
rw [ZMod.val_add, Nat.mod_eq_of_lt h]
theorem val_add_val_of_le {n : ℕ} [NeZero n] {a b : ZMod n} (h : n ≤ a.val + b.val) :
a.val + b.val = (a + b).val + n := by
rw [val_add, Nat.add_mod_add_of_le_add_mod, Nat.mod_eq_of_lt (val_lt _),
Nat.mod_eq_of_lt (val_lt _)]
rwa [Nat.mod_eq_of_lt (val_lt _), Nat.mod_eq_of_lt (val_lt _)]
theorem val_add_of_le {n : ℕ} [NeZero n] {a b : ZMod n} (h : n ≤ a.val + b.val) :
(a + b).val = a.val + b.val - n := by
rw [val_add_val_of_le h]
exact eq_tsub_of_add_eq rfl
theorem val_add_le {n : ℕ} (a b : ZMod n) : (a + b).val ≤ a.val + b.val := by
cases n
· simp [ZMod.val]; apply Int.natAbs_add_le
· simp [ZMod.val_add]; apply Nat.mod_le
| Mathlib/Data/ZMod/Basic.lean | 767 | 771 | theorem val_mul {n : ℕ} (a b : ZMod n) : (a * b).val = a.val * b.val % n := by |
cases n
· rw [Nat.mod_zero]
apply Int.natAbs_mul
· apply Fin.val_mul
|
import Mathlib.Algebra.MvPolynomial.Supported
import Mathlib.RingTheory.WittVector.Truncated
#align_import ring_theory.witt_vector.mul_coeff from "leanprover-community/mathlib"@"2f5b500a507264de86d666a5f87ddb976e2d8de4"
noncomputable section
namespace WittVector
variable (p : ℕ) [hp : Fact p.Prime]
variable {k : Type*} [CommRing k]
local notation "𝕎" => WittVector p
-- Porting note: new notation
local notation "𝕄" => MvPolynomial (Fin 2 × ℕ) ℤ
open Finset MvPolynomial
def wittPolyProd (n : ℕ) : 𝕄 :=
rename (Prod.mk (0 : Fin 2)) (wittPolynomial p ℤ n) *
rename (Prod.mk (1 : Fin 2)) (wittPolynomial p ℤ n)
#align witt_vector.witt_poly_prod WittVector.wittPolyProd
theorem wittPolyProd_vars (n : ℕ) : (wittPolyProd p n).vars ⊆ univ ×ˢ range (n + 1) := by
rw [wittPolyProd]
apply Subset.trans (vars_mul _ _)
refine union_subset ?_ ?_ <;>
· refine Subset.trans (vars_rename _ _) ?_
simp [wittPolynomial_vars, image_subset_iff]
#align witt_vector.witt_poly_prod_vars WittVector.wittPolyProd_vars
def wittPolyProdRemainder (n : ℕ) : 𝕄 :=
∑ i ∈ range n, (p : 𝕄) ^ i * wittMul p i ^ p ^ (n - i)
#align witt_vector.witt_poly_prod_remainder WittVector.wittPolyProdRemainder
theorem wittPolyProdRemainder_vars (n : ℕ) :
(wittPolyProdRemainder p n).vars ⊆ univ ×ˢ range n := by
rw [wittPolyProdRemainder]
refine Subset.trans (vars_sum_subset _ _) ?_
rw [biUnion_subset]
intro x hx
apply Subset.trans (vars_mul _ _)
refine union_subset ?_ ?_
· apply Subset.trans (vars_pow _ _)
have : (p : 𝕄) = C (p : ℤ) := by simp only [Int.cast_natCast, eq_intCast]
rw [this, vars_C]
apply empty_subset
· apply Subset.trans (vars_pow _ _)
apply Subset.trans (wittMul_vars _ _)
apply product_subset_product (Subset.refl _)
simp only [mem_range, range_subset] at hx ⊢
exact hx
#align witt_vector.witt_poly_prod_remainder_vars WittVector.wittPolyProdRemainder_vars
def remainder (n : ℕ) : 𝕄 :=
(∑ x ∈ range (n + 1),
(rename (Prod.mk 0)) ((monomial (Finsupp.single x (p ^ (n + 1 - x)))) ((p : ℤ) ^ x))) *
∑ x ∈ range (n + 1),
(rename (Prod.mk 1)) ((monomial (Finsupp.single x (p ^ (n + 1 - x)))) ((p : ℤ) ^ x))
#align witt_vector.remainder WittVector.remainder
theorem remainder_vars (n : ℕ) : (remainder p n).vars ⊆ univ ×ˢ range (n + 1) := by
rw [remainder]
apply Subset.trans (vars_mul _ _)
refine union_subset ?_ ?_ <;>
· refine Subset.trans (vars_sum_subset _ _) ?_
rw [biUnion_subset]
intro x hx
rw [rename_monomial, vars_monomial, Finsupp.mapDomain_single]
· apply Subset.trans Finsupp.support_single_subset
simpa using mem_range.mp hx
· apply pow_ne_zero
exact mod_cast hp.out.ne_zero
#align witt_vector.remainder_vars WittVector.remainder_vars
def polyOfInterest (n : ℕ) : 𝕄 :=
wittMul p (n + 1) + (p : 𝕄) ^ (n + 1) * X (0, n + 1) * X (1, n + 1) -
X (0, n + 1) * rename (Prod.mk (1 : Fin 2)) (wittPolynomial p ℤ (n + 1)) -
X (1, n + 1) * rename (Prod.mk (0 : Fin 2)) (wittPolynomial p ℤ (n + 1))
#align witt_vector.poly_of_interest WittVector.polyOfInterest
theorem mul_polyOfInterest_aux1 (n : ℕ) :
∑ i ∈ range (n + 1), (p : 𝕄) ^ i * wittMul p i ^ p ^ (n - i) = wittPolyProd p n := by
simp only [wittPolyProd]
convert wittStructureInt_prop p (X (0 : Fin 2) * X 1) n using 1
· simp only [wittPolynomial, wittMul]
rw [AlgHom.map_sum]
congr 1 with i
congr 1
have hsupp : (Finsupp.single i (p ^ (n - i))).support = {i} := by
rw [Finsupp.support_eq_singleton]
simp only [and_true_iff, Finsupp.single_eq_same, eq_self_iff_true, Ne]
exact pow_ne_zero _ hp.out.ne_zero
simp only [bind₁_monomial, hsupp, Int.cast_natCast, prod_singleton, eq_intCast,
Finsupp.single_eq_same, C_pow, mul_eq_mul_left_iff, true_or_iff, eq_self_iff_true,
Int.cast_pow]
· simp only [map_mul, bind₁_X_right]
#align witt_vector.mul_poly_of_interest_aux1 WittVector.mul_polyOfInterest_aux1
theorem mul_polyOfInterest_aux2 (n : ℕ) :
(p : 𝕄) ^ n * wittMul p n + wittPolyProdRemainder p n = wittPolyProd p n := by
convert mul_polyOfInterest_aux1 p n
rw [sum_range_succ, add_comm, Nat.sub_self, pow_zero, pow_one]
rfl
#align witt_vector.mul_poly_of_interest_aux2 WittVector.mul_polyOfInterest_aux2
| Mathlib/RingTheory/WittVector/MulCoeff.lean | 145 | 176 | theorem mul_polyOfInterest_aux3 (n : ℕ) : wittPolyProd p (n + 1) =
-((p : 𝕄) ^ (n + 1) * X (0, n + 1)) * ((p : 𝕄) ^ (n + 1) * X (1, n + 1)) +
(p : 𝕄) ^ (n + 1) * X (0, n + 1) * rename (Prod.mk (1 : Fin 2)) (wittPolynomial p ℤ (n + 1)) +
(p : 𝕄) ^ (n + 1) * X (1, n + 1) * rename (Prod.mk (0 : Fin 2)) (wittPolynomial p ℤ (n + 1)) +
remainder p n := by |
-- a useful auxiliary fact
have mvpz : (p : 𝕄) ^ (n + 1) = MvPolynomial.C ((p : ℤ) ^ (n + 1)) := by norm_cast
-- Porting note: the original proof applies `sum_range_succ` through a non-`conv` rewrite,
-- but this does not work in Lean 4; the whole proof also times out very badly. The proof has been
-- nearly totally rewritten here and now finishes quite fast.
rw [wittPolyProd, wittPolynomial, AlgHom.map_sum, AlgHom.map_sum]
conv_lhs =>
arg 1
rw [sum_range_succ, ← C_mul_X_pow_eq_monomial, tsub_self, pow_zero, pow_one, map_mul,
rename_C, rename_X, ← mvpz]
conv_lhs =>
arg 2
rw [sum_range_succ, ← C_mul_X_pow_eq_monomial, tsub_self, pow_zero, pow_one, map_mul,
rename_C, rename_X, ← mvpz]
conv_rhs =>
enter [1, 1, 2, 2]
rw [sum_range_succ, ← C_mul_X_pow_eq_monomial, tsub_self, pow_zero, pow_one, map_mul,
rename_C, rename_X, ← mvpz]
conv_rhs =>
enter [1, 2, 2]
rw [sum_range_succ, ← C_mul_X_pow_eq_monomial, tsub_self, pow_zero, pow_one, map_mul,
rename_C, rename_X, ← mvpz]
simp only [add_mul, mul_add]
rw [add_comm _ (remainder p n)]
simp only [add_assoc]
apply congrArg (Add.add _)
ring
|
import Mathlib.Algebra.Field.Opposite
import Mathlib.Algebra.Group.Subgroup.ZPowers
import Mathlib.Algebra.Group.Submonoid.Membership
import Mathlib.Algebra.Ring.NegOnePow
import Mathlib.Algebra.Order.Archimedean
import Mathlib.GroupTheory.Coset
#align_import algebra.periodic from "leanprover-community/mathlib"@"30413fc89f202a090a54d78e540963ed3de0056e"
variable {α β γ : Type*} {f g : α → β} {c c₁ c₂ x : α}
open Set
namespace Function
@[simp]
def Periodic [Add α] (f : α → β) (c : α) : Prop :=
∀ x : α, f (x + c) = f x
#align function.periodic Function.Periodic
protected theorem Periodic.funext [Add α] (h : Periodic f c) : (fun x => f (x + c)) = f :=
funext h
#align function.periodic.funext Function.Periodic.funext
protected theorem Periodic.comp [Add α] (h : Periodic f c) (g : β → γ) : Periodic (g ∘ f) c := by
simp_all
#align function.periodic.comp Function.Periodic.comp
theorem Periodic.comp_addHom [Add α] [Add γ] (h : Periodic f c) (g : AddHom γ α) (g_inv : α → γ)
(hg : RightInverse g_inv g) : Periodic (f ∘ g) (g_inv c) := fun x => by
simp only [hg c, h (g x), map_add, comp_apply]
#align function.periodic.comp_add_hom Function.Periodic.comp_addHom
@[to_additive]
protected theorem Periodic.mul [Add α] [Mul β] (hf : Periodic f c) (hg : Periodic g c) :
Periodic (f * g) c := by simp_all
#align function.periodic.mul Function.Periodic.mul
#align function.periodic.add Function.Periodic.add
@[to_additive]
protected theorem Periodic.div [Add α] [Div β] (hf : Periodic f c) (hg : Periodic g c) :
Periodic (f / g) c := by simp_all
#align function.periodic.div Function.Periodic.div
#align function.periodic.sub Function.Periodic.sub
@[to_additive]
theorem _root_.List.periodic_prod [Add α] [Monoid β] (l : List (α → β))
(hl : ∀ f ∈ l, Periodic f c) : Periodic l.prod c := by
induction' l with g l ih hl
· simp
· rw [List.forall_mem_cons] at hl
simpa only [List.prod_cons] using hl.1.mul (ih hl.2)
#align list.periodic_prod List.periodic_prod
#align list.periodic_sum List.periodic_sum
@[to_additive]
theorem _root_.Multiset.periodic_prod [Add α] [CommMonoid β] (s : Multiset (α → β))
(hs : ∀ f ∈ s, Periodic f c) : Periodic s.prod c :=
(s.prod_toList ▸ s.toList.periodic_prod) fun f hf => hs f <| Multiset.mem_toList.mp hf
#align multiset.periodic_prod Multiset.periodic_prod
#align multiset.periodic_sum Multiset.periodic_sum
@[to_additive]
theorem _root_.Finset.periodic_prod [Add α] [CommMonoid β] {ι : Type*} {f : ι → α → β}
(s : Finset ι) (hs : ∀ i ∈ s, Periodic (f i) c) : Periodic (∏ i ∈ s, f i) c :=
s.prod_to_list f ▸ (s.toList.map f).periodic_prod (by simpa [-Periodic] )
#align finset.periodic_prod Finset.periodic_prod
#align finset.periodic_sum Finset.periodic_sum
@[to_additive]
protected theorem Periodic.smul [Add α] [SMul γ β] (h : Periodic f c) (a : γ) :
Periodic (a • f) c := by simp_all
#align function.periodic.smul Function.Periodic.smul
#align function.periodic.vadd Function.Periodic.vadd
protected theorem Periodic.const_smul [AddMonoid α] [Group γ] [DistribMulAction γ α]
(h : Periodic f c) (a : γ) : Periodic (fun x => f (a • x)) (a⁻¹ • c) := fun x => by
simpa only [smul_add, smul_inv_smul] using h (a • x)
#align function.periodic.const_smul Function.Periodic.const_smul
protected theorem Periodic.const_smul₀ [AddCommMonoid α] [DivisionSemiring γ] [Module γ α]
(h : Periodic f c) (a : γ) : Periodic (fun x => f (a • x)) (a⁻¹ • c) := fun x => by
by_cases ha : a = 0
· simp only [ha, zero_smul]
· simpa only [smul_add, smul_inv_smul₀ ha] using h (a • x)
#align function.periodic.const_smul₀ Function.Periodic.const_smul₀
protected theorem Periodic.const_mul [DivisionSemiring α] (h : Periodic f c) (a : α) :
Periodic (fun x => f (a * x)) (a⁻¹ * c) :=
Periodic.const_smul₀ h a
#align function.periodic.const_mul Function.Periodic.const_mul
theorem Periodic.const_inv_smul [AddMonoid α] [Group γ] [DistribMulAction γ α] (h : Periodic f c)
(a : γ) : Periodic (fun x => f (a⁻¹ • x)) (a • c) := by
simpa only [inv_inv] using h.const_smul a⁻¹
#align function.periodic.const_inv_smul Function.Periodic.const_inv_smul
theorem Periodic.const_inv_smul₀ [AddCommMonoid α] [DivisionSemiring γ] [Module γ α]
(h : Periodic f c) (a : γ) : Periodic (fun x => f (a⁻¹ • x)) (a • c) := by
simpa only [inv_inv] using h.const_smul₀ a⁻¹
#align function.periodic.const_inv_smul₀ Function.Periodic.const_inv_smul₀
theorem Periodic.const_inv_mul [DivisionSemiring α] (h : Periodic f c) (a : α) :
Periodic (fun x => f (a⁻¹ * x)) (a * c) :=
h.const_inv_smul₀ a
#align function.periodic.const_inv_mul Function.Periodic.const_inv_mul
theorem Periodic.mul_const [DivisionSemiring α] (h : Periodic f c) (a : α) :
Periodic (fun x => f (x * a)) (c * a⁻¹) :=
h.const_smul₀ (MulOpposite.op a)
#align function.periodic.mul_const Function.Periodic.mul_const
theorem Periodic.mul_const' [DivisionSemiring α] (h : Periodic f c) (a : α) :
Periodic (fun x => f (x * a)) (c / a) := by simpa only [div_eq_mul_inv] using h.mul_const a
#align function.periodic.mul_const' Function.Periodic.mul_const'
theorem Periodic.mul_const_inv [DivisionSemiring α] (h : Periodic f c) (a : α) :
Periodic (fun x => f (x * a⁻¹)) (c * a) :=
h.const_inv_smul₀ (MulOpposite.op a)
#align function.periodic.mul_const_inv Function.Periodic.mul_const_inv
theorem Periodic.div_const [DivisionSemiring α] (h : Periodic f c) (a : α) :
Periodic (fun x => f (x / a)) (c * a) := by simpa only [div_eq_mul_inv] using h.mul_const_inv a
#align function.periodic.div_const Function.Periodic.div_const
theorem Periodic.add_period [AddSemigroup α] (h1 : Periodic f c₁) (h2 : Periodic f c₂) :
Periodic f (c₁ + c₂) := by simp_all [← add_assoc]
#align function.periodic.add_period Function.Periodic.add_period
theorem Periodic.sub_eq [AddGroup α] (h : Periodic f c) (x : α) : f (x - c) = f x := by
simpa only [sub_add_cancel] using (h (x - c)).symm
#align function.periodic.sub_eq Function.Periodic.sub_eq
theorem Periodic.sub_eq' [AddCommGroup α] (h : Periodic f c) : f (c - x) = f (-x) := by
simpa only [sub_eq_neg_add] using h (-x)
#align function.periodic.sub_eq' Function.Periodic.sub_eq'
protected theorem Periodic.neg [AddGroup α] (h : Periodic f c) : Periodic f (-c) := by
simpa only [sub_eq_add_neg, Periodic] using h.sub_eq
#align function.periodic.neg Function.Periodic.neg
theorem Periodic.sub_period [AddGroup α] (h1 : Periodic f c₁) (h2 : Periodic f c₂) :
Periodic f (c₁ - c₂) := fun x => by
rw [sub_eq_add_neg, ← add_assoc, h2.neg, h1]
#align function.periodic.sub_period Function.Periodic.sub_period
theorem Periodic.const_add [AddSemigroup α] (h : Periodic f c) (a : α) :
Periodic (fun x => f (a + x)) c := fun x => by simpa [add_assoc] using h (a + x)
#align function.periodic.const_add Function.Periodic.const_add
theorem Periodic.add_const [AddCommSemigroup α] (h : Periodic f c) (a : α) :
Periodic (fun x => f (x + a)) c := fun x => by
simpa only [add_right_comm] using h (x + a)
#align function.periodic.add_const Function.Periodic.add_const
theorem Periodic.const_sub [AddCommGroup α] (h : Periodic f c) (a : α) :
Periodic (fun x => f (a - x)) c := fun x => by
simp only [← sub_sub, h.sub_eq]
#align function.periodic.const_sub Function.Periodic.const_sub
theorem Periodic.sub_const [AddCommGroup α] (h : Periodic f c) (a : α) :
Periodic (fun x => f (x - a)) c := by
simpa only [sub_eq_add_neg] using h.add_const (-a)
#align function.periodic.sub_const Function.Periodic.sub_const
theorem Periodic.nsmul [AddMonoid α] (h : Periodic f c) (n : ℕ) : Periodic f (n • c) := by
induction n <;> simp_all [Nat.succ_eq_add_one, add_nsmul, ← add_assoc, zero_nsmul]
#align function.periodic.nsmul Function.Periodic.nsmul
theorem Periodic.nat_mul [Semiring α] (h : Periodic f c) (n : ℕ) : Periodic f (n * c) := by
simpa only [nsmul_eq_mul] using h.nsmul n
#align function.periodic.nat_mul Function.Periodic.nat_mul
theorem Periodic.neg_nsmul [AddGroup α] (h : Periodic f c) (n : ℕ) : Periodic f (-(n • c)) :=
(h.nsmul n).neg
#align function.periodic.neg_nsmul Function.Periodic.neg_nsmul
theorem Periodic.neg_nat_mul [Ring α] (h : Periodic f c) (n : ℕ) : Periodic f (-(n * c)) :=
(h.nat_mul n).neg
#align function.periodic.neg_nat_mul Function.Periodic.neg_nat_mul
theorem Periodic.sub_nsmul_eq [AddGroup α] (h : Periodic f c) (n : ℕ) : f (x - n • c) = f x := by
simpa only [sub_eq_add_neg] using h.neg_nsmul n x
#align function.periodic.sub_nsmul_eq Function.Periodic.sub_nsmul_eq
theorem Periodic.sub_nat_mul_eq [Ring α] (h : Periodic f c) (n : ℕ) : f (x - n * c) = f x := by
simpa only [nsmul_eq_mul] using h.sub_nsmul_eq n
#align function.periodic.sub_nat_mul_eq Function.Periodic.sub_nat_mul_eq
theorem Periodic.nsmul_sub_eq [AddCommGroup α] (h : Periodic f c) (n : ℕ) :
f (n • c - x) = f (-x) :=
(h.nsmul n).sub_eq'
#align function.periodic.nsmul_sub_eq Function.Periodic.nsmul_sub_eq
theorem Periodic.nat_mul_sub_eq [Ring α] (h : Periodic f c) (n : ℕ) : f (n * c - x) = f (-x) := by
simpa only [sub_eq_neg_add] using h.nat_mul n (-x)
#align function.periodic.nat_mul_sub_eq Function.Periodic.nat_mul_sub_eq
protected theorem Periodic.zsmul [AddGroup α] (h : Periodic f c) (n : ℤ) : Periodic f (n • c) := by
cases' n with n n
· simpa only [Int.ofNat_eq_coe, natCast_zsmul] using h.nsmul n
· simpa only [negSucc_zsmul] using (h.nsmul (n + 1)).neg
#align function.periodic.zsmul Function.Periodic.zsmul
protected theorem Periodic.int_mul [Ring α] (h : Periodic f c) (n : ℤ) : Periodic f (n * c) := by
simpa only [zsmul_eq_mul] using h.zsmul n
#align function.periodic.int_mul Function.Periodic.int_mul
theorem Periodic.sub_zsmul_eq [AddGroup α] (h : Periodic f c) (n : ℤ) : f (x - n • c) = f x :=
(h.zsmul n).sub_eq x
#align function.periodic.sub_zsmul_eq Function.Periodic.sub_zsmul_eq
theorem Periodic.sub_int_mul_eq [Ring α] (h : Periodic f c) (n : ℤ) : f (x - n * c) = f x :=
(h.int_mul n).sub_eq x
#align function.periodic.sub_int_mul_eq Function.Periodic.sub_int_mul_eq
theorem Periodic.zsmul_sub_eq [AddCommGroup α] (h : Periodic f c) (n : ℤ) :
f (n • c - x) = f (-x) :=
(h.zsmul _).sub_eq'
#align function.periodic.zsmul_sub_eq Function.Periodic.zsmul_sub_eq
theorem Periodic.int_mul_sub_eq [Ring α] (h : Periodic f c) (n : ℤ) : f (n * c - x) = f (-x) :=
(h.int_mul _).sub_eq'
#align function.periodic.int_mul_sub_eq Function.Periodic.int_mul_sub_eq
protected theorem Periodic.eq [AddZeroClass α] (h : Periodic f c) : f c = f 0 := by
simpa only [zero_add] using h 0
#align function.periodic.eq Function.Periodic.eq
protected theorem Periodic.neg_eq [AddGroup α] (h : Periodic f c) : f (-c) = f 0 :=
h.neg.eq
#align function.periodic.neg_eq Function.Periodic.neg_eq
protected theorem Periodic.nsmul_eq [AddMonoid α] (h : Periodic f c) (n : ℕ) : f (n • c) = f 0 :=
(h.nsmul n).eq
#align function.periodic.nsmul_eq Function.Periodic.nsmul_eq
theorem Periodic.nat_mul_eq [Semiring α] (h : Periodic f c) (n : ℕ) : f (n * c) = f 0 :=
(h.nat_mul n).eq
#align function.periodic.nat_mul_eq Function.Periodic.nat_mul_eq
theorem Periodic.zsmul_eq [AddGroup α] (h : Periodic f c) (n : ℤ) : f (n • c) = f 0 :=
(h.zsmul n).eq
#align function.periodic.zsmul_eq Function.Periodic.zsmul_eq
theorem Periodic.int_mul_eq [Ring α] (h : Periodic f c) (n : ℤ) : f (n * c) = f 0 :=
(h.int_mul n).eq
#align function.periodic.int_mul_eq Function.Periodic.int_mul_eq
theorem Periodic.exists_mem_Ico₀ [LinearOrderedAddCommGroup α] [Archimedean α] (h : Periodic f c)
(hc : 0 < c) (x) : ∃ y ∈ Ico 0 c, f x = f y :=
let ⟨n, H, _⟩ := existsUnique_zsmul_near_of_pos' hc x
⟨x - n • c, H, (h.sub_zsmul_eq n).symm⟩
#align function.periodic.exists_mem_Ico₀ Function.Periodic.exists_mem_Ico₀
theorem Periodic.exists_mem_Ico [LinearOrderedAddCommGroup α] [Archimedean α] (h : Periodic f c)
(hc : 0 < c) (x a) : ∃ y ∈ Ico a (a + c), f x = f y :=
let ⟨n, H, _⟩ := existsUnique_add_zsmul_mem_Ico hc x a
⟨x + n • c, H, (h.zsmul n x).symm⟩
#align function.periodic.exists_mem_Ico Function.Periodic.exists_mem_Ico
theorem Periodic.exists_mem_Ioc [LinearOrderedAddCommGroup α] [Archimedean α] (h : Periodic f c)
(hc : 0 < c) (x a) : ∃ y ∈ Ioc a (a + c), f x = f y :=
let ⟨n, H, _⟩ := existsUnique_add_zsmul_mem_Ioc hc x a
⟨x + n • c, H, (h.zsmul n x).symm⟩
#align function.periodic.exists_mem_Ioc Function.Periodic.exists_mem_Ioc
theorem Periodic.image_Ioc [LinearOrderedAddCommGroup α] [Archimedean α] (h : Periodic f c)
(hc : 0 < c) (a : α) : f '' Ioc a (a + c) = range f :=
(image_subset_range _ _).antisymm <| range_subset_iff.2 fun x =>
let ⟨y, hy, hyx⟩ := h.exists_mem_Ioc hc x a
⟨y, hy, hyx.symm⟩
#align function.periodic.image_Ioc Function.Periodic.image_Ioc
theorem Periodic.image_Icc [LinearOrderedAddCommGroup α] [Archimedean α] (h : Periodic f c)
(hc : 0 < c) (a : α) : f '' Icc a (a + c) = range f :=
(image_subset_range _ _).antisymm <| h.image_Ioc hc a ▸ image_subset _ Ioc_subset_Icc_self
theorem Periodic.image_uIcc [LinearOrderedAddCommGroup α] [Archimedean α] (h : Periodic f c)
(hc : c ≠ 0) (a : α) : f '' uIcc a (a + c) = range f := by
cases hc.lt_or_lt with
| inl hc =>
rw [uIcc_of_ge (add_le_of_nonpos_right hc.le), ← h.neg.image_Icc (neg_pos.2 hc) (a + c),
add_neg_cancel_right]
| inr hc => rw [uIcc_of_le (le_add_of_nonneg_right hc.le), h.image_Icc hc]
theorem periodic_with_period_zero [AddZeroClass α] (f : α → β) : Periodic f 0 := fun x => by
rw [add_zero]
#align function.periodic_with_period_zero Function.periodic_with_period_zero
theorem Periodic.map_vadd_zmultiples [AddCommGroup α] (hf : Periodic f c)
(a : AddSubgroup.zmultiples c) (x : α) : f (a +ᵥ x) = f x := by
rcases a with ⟨_, m, rfl⟩
simp [AddSubgroup.vadd_def, add_comm _ x, hf.zsmul m x]
#align function.periodic.map_vadd_zmultiples Function.Periodic.map_vadd_zmultiples
theorem Periodic.map_vadd_multiples [AddCommMonoid α] (hf : Periodic f c)
(a : AddSubmonoid.multiples c) (x : α) : f (a +ᵥ x) = f x := by
rcases a with ⟨_, m, rfl⟩
simp [AddSubmonoid.vadd_def, add_comm _ x, hf.nsmul m x]
#align function.periodic.map_vadd_multiples Function.Periodic.map_vadd_multiples
def Periodic.lift [AddGroup α] (h : Periodic f c) (x : α ⧸ AddSubgroup.zmultiples c) : β :=
Quotient.liftOn' x f fun a b h' => by
rw [QuotientAddGroup.leftRel_apply] at h'
obtain ⟨k, hk⟩ := h'
exact (h.zsmul k _).symm.trans (congr_arg f (add_eq_of_eq_neg_add hk))
#align function.periodic.lift Function.Periodic.lift
@[simp]
theorem Periodic.lift_coe [AddGroup α] (h : Periodic f c) (a : α) :
h.lift (a : α ⧸ AddSubgroup.zmultiples c) = f a :=
rfl
#align function.periodic.lift_coe Function.Periodic.lift_coe
lemma Periodic.not_injective {R X : Type*} [AddZeroClass R] {f : R → X} {c : R}
(hf : Periodic f c) (hc : c ≠ 0) : ¬ Injective f := fun h ↦ hc <| h hf.eq
@[simp]
def Antiperiodic [Add α] [Neg β] (f : α → β) (c : α) : Prop :=
∀ x : α, f (x + c) = -f x
#align function.antiperiodic Function.Antiperiodic
protected theorem Antiperiodic.funext [Add α] [Neg β] (h : Antiperiodic f c) :
(fun x => f (x + c)) = -f :=
funext h
#align function.antiperiodic.funext Function.Antiperiodic.funext
protected theorem Antiperiodic.funext' [Add α] [InvolutiveNeg β] (h : Antiperiodic f c) :
(fun x => -f (x + c)) = f :=
neg_eq_iff_eq_neg.mpr h.funext
#align function.antiperiodic.funext' Function.Antiperiodic.funext'
protected theorem Antiperiodic.periodic [AddMonoid α] [InvolutiveNeg β]
(h : Antiperiodic f c) : Periodic f (2 • c) := by simp [two_nsmul, ← add_assoc, h _]
protected theorem Antiperiodic.periodic_two_mul [Semiring α] [InvolutiveNeg β]
(h : Antiperiodic f c) : Periodic f (2 * c) := nsmul_eq_mul 2 c ▸ h.periodic
#align function.antiperiodic.periodic Function.Antiperiodic.periodic_two_mul
protected theorem Antiperiodic.eq [AddZeroClass α] [Neg β] (h : Antiperiodic f c) : f c = -f 0 := by
simpa only [zero_add] using h 0
#align function.antiperiodic.eq Function.Antiperiodic.eq
theorem Antiperiodic.even_nsmul_periodic [AddMonoid α] [InvolutiveNeg β] (h : Antiperiodic f c)
(n : ℕ) : Periodic f ((2 * n) • c) := mul_nsmul c 2 n ▸ h.periodic.nsmul n
theorem Antiperiodic.nat_even_mul_periodic [Semiring α] [InvolutiveNeg β] (h : Antiperiodic f c)
(n : ℕ) : Periodic f (n * (2 * c)) :=
h.periodic_two_mul.nat_mul n
#align function.antiperiodic.nat_even_mul_periodic Function.Antiperiodic.nat_even_mul_periodic
theorem Antiperiodic.odd_nsmul_antiperiodic [AddMonoid α] [InvolutiveNeg β] (h : Antiperiodic f c)
(n : ℕ) : Antiperiodic f ((2 * n + 1) • c) := fun x => by
rw [add_nsmul, one_nsmul, ← add_assoc, h, h.even_nsmul_periodic]
theorem Antiperiodic.nat_odd_mul_antiperiodic [Semiring α] [InvolutiveNeg β] (h : Antiperiodic f c)
(n : ℕ) : Antiperiodic f (n * (2 * c) + c) := fun x => by
rw [← add_assoc, h, h.nat_even_mul_periodic]
#align function.antiperiodic.nat_odd_mul_antiperiodic Function.Antiperiodic.nat_odd_mul_antiperiodic
theorem Antiperiodic.even_zsmul_periodic [AddGroup α] [InvolutiveNeg β] (h : Antiperiodic f c)
(n : ℤ) : Periodic f ((2 * n) • c) := by
rw [mul_comm, mul_zsmul, two_zsmul, ← two_nsmul]
exact h.periodic.zsmul n
theorem Antiperiodic.int_even_mul_periodic [Ring α] [InvolutiveNeg β] (h : Antiperiodic f c)
(n : ℤ) : Periodic f (n * (2 * c)) :=
h.periodic_two_mul.int_mul n
#align function.antiperiodic.int_even_mul_periodic Function.Antiperiodic.int_even_mul_periodic
theorem Antiperiodic.odd_zsmul_antiperiodic [AddGroup α] [InvolutiveNeg β] (h : Antiperiodic f c)
(n : ℤ) : Antiperiodic f ((2 * n + 1) • c) := by
intro x
rw [add_zsmul, one_zsmul, ← add_assoc, h, h.even_zsmul_periodic]
theorem Antiperiodic.int_odd_mul_antiperiodic [Ring α] [InvolutiveNeg β] (h : Antiperiodic f c)
(n : ℤ) : Antiperiodic f (n * (2 * c) + c) := fun x => by
rw [← add_assoc, h, h.int_even_mul_periodic]
#align function.antiperiodic.int_odd_mul_antiperiodic Function.Antiperiodic.int_odd_mul_antiperiodic
theorem Antiperiodic.sub_eq [AddGroup α] [InvolutiveNeg β] (h : Antiperiodic f c) (x : α) :
f (x - c) = -f x := by simp only [← neg_eq_iff_eq_neg, ← h (x - c), sub_add_cancel]
#align function.antiperiodic.sub_eq Function.Antiperiodic.sub_eq
| Mathlib/Algebra/Periodic.lean | 433 | 434 | theorem Antiperiodic.sub_eq' [AddCommGroup α] [Neg β] (h : Antiperiodic f c) :
f (c - x) = -f (-x) := by | simpa only [sub_eq_neg_add] using h (-x)
|
import Mathlib.Order.Interval.Set.Monotone
import Mathlib.Topology.MetricSpace.Basic
import Mathlib.Topology.MetricSpace.Bounded
import Mathlib.Topology.Order.MonotoneConvergence
#align_import analysis.box_integral.box.basic from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
open Set Function Metric Filter
noncomputable section
open scoped Classical
open NNReal Topology
namespace BoxIntegral
variable {ι : Type*}
structure Box (ι : Type*) where
(lower upper : ι → ℝ)
lower_lt_upper : ∀ i, lower i < upper i
#align box_integral.box BoxIntegral.Box
attribute [simp] Box.lower_lt_upper
namespace Box
variable (I J : Box ι) {x y : ι → ℝ}
instance : Inhabited (Box ι) :=
⟨⟨0, 1, fun _ ↦ zero_lt_one⟩⟩
theorem lower_le_upper : I.lower ≤ I.upper :=
fun i ↦ (I.lower_lt_upper i).le
#align box_integral.box.lower_le_upper BoxIntegral.Box.lower_le_upper
theorem lower_ne_upper (i) : I.lower i ≠ I.upper i :=
(I.lower_lt_upper i).ne
#align box_integral.box.lower_ne_upper BoxIntegral.Box.lower_ne_upper
instance : Membership (ι → ℝ) (Box ι) :=
⟨fun x I ↦ ∀ i, x i ∈ Ioc (I.lower i) (I.upper i)⟩
-- Porting note: added
@[coe]
def toSet (I : Box ι) : Set (ι → ℝ) := { x | x ∈ I }
instance : CoeTC (Box ι) (Set <| ι → ℝ) :=
⟨toSet⟩
@[simp]
theorem mem_mk {l u x : ι → ℝ} {H} : x ∈ mk l u H ↔ ∀ i, x i ∈ Ioc (l i) (u i) := Iff.rfl
#align box_integral.box.mem_mk BoxIntegral.Box.mem_mk
@[simp, norm_cast]
theorem mem_coe : x ∈ (I : Set (ι → ℝ)) ↔ x ∈ I := Iff.rfl
#align box_integral.box.mem_coe BoxIntegral.Box.mem_coe
theorem mem_def : x ∈ I ↔ ∀ i, x i ∈ Ioc (I.lower i) (I.upper i) := Iff.rfl
#align box_integral.box.mem_def BoxIntegral.Box.mem_def
theorem mem_univ_Ioc {I : Box ι} : (x ∈ pi univ fun i ↦ Ioc (I.lower i) (I.upper i)) ↔ x ∈ I :=
mem_univ_pi
#align box_integral.box.mem_univ_Ioc BoxIntegral.Box.mem_univ_Ioc
theorem coe_eq_pi : (I : Set (ι → ℝ)) = pi univ fun i ↦ Ioc (I.lower i) (I.upper i) :=
Set.ext fun _ ↦ mem_univ_Ioc.symm
#align box_integral.box.coe_eq_pi BoxIntegral.Box.coe_eq_pi
@[simp]
theorem upper_mem : I.upper ∈ I :=
fun i ↦ right_mem_Ioc.2 <| I.lower_lt_upper i
#align box_integral.box.upper_mem BoxIntegral.Box.upper_mem
theorem exists_mem : ∃ x, x ∈ I :=
⟨_, I.upper_mem⟩
#align box_integral.box.exists_mem BoxIntegral.Box.exists_mem
theorem nonempty_coe : Set.Nonempty (I : Set (ι → ℝ)) :=
I.exists_mem
#align box_integral.box.nonempty_coe BoxIntegral.Box.nonempty_coe
@[simp]
theorem coe_ne_empty : (I : Set (ι → ℝ)) ≠ ∅ :=
I.nonempty_coe.ne_empty
#align box_integral.box.coe_ne_empty BoxIntegral.Box.coe_ne_empty
@[simp]
theorem empty_ne_coe : ∅ ≠ (I : Set (ι → ℝ)) :=
I.coe_ne_empty.symm
#align box_integral.box.empty_ne_coe BoxIntegral.Box.empty_ne_coe
instance : LE (Box ι) :=
⟨fun I J ↦ ∀ ⦃x⦄, x ∈ I → x ∈ J⟩
theorem le_def : I ≤ J ↔ ∀ x ∈ I, x ∈ J := Iff.rfl
#align box_integral.box.le_def BoxIntegral.Box.le_def
theorem le_TFAE : List.TFAE [I ≤ J, (I : Set (ι → ℝ)) ⊆ J,
Icc I.lower I.upper ⊆ Icc J.lower J.upper, J.lower ≤ I.lower ∧ I.upper ≤ J.upper] := by
tfae_have 1 ↔ 2
· exact Iff.rfl
tfae_have 2 → 3
· intro h
simpa [coe_eq_pi, closure_pi_set, lower_ne_upper] using closure_mono h
tfae_have 3 ↔ 4
· exact Icc_subset_Icc_iff I.lower_le_upper
tfae_have 4 → 2
· exact fun h x hx i ↦ Ioc_subset_Ioc (h.1 i) (h.2 i) (hx i)
tfae_finish
#align box_integral.box.le_tfae BoxIntegral.Box.le_TFAE
variable {I J}
@[simp, norm_cast]
theorem coe_subset_coe : (I : Set (ι → ℝ)) ⊆ J ↔ I ≤ J := Iff.rfl
#align box_integral.box.coe_subset_coe BoxIntegral.Box.coe_subset_coe
theorem le_iff_bounds : I ≤ J ↔ J.lower ≤ I.lower ∧ I.upper ≤ J.upper :=
(le_TFAE I J).out 0 3
#align box_integral.box.le_iff_bounds BoxIntegral.Box.le_iff_bounds
theorem injective_coe : Injective ((↑) : Box ι → Set (ι → ℝ)) := by
rintro ⟨l₁, u₁, h₁⟩ ⟨l₂, u₂, h₂⟩ h
simp only [Subset.antisymm_iff, coe_subset_coe, le_iff_bounds] at h
congr
exacts [le_antisymm h.2.1 h.1.1, le_antisymm h.1.2 h.2.2]
#align box_integral.box.injective_coe BoxIntegral.Box.injective_coe
@[simp, norm_cast]
theorem coe_inj : (I : Set (ι → ℝ)) = J ↔ I = J :=
injective_coe.eq_iff
#align box_integral.box.coe_inj BoxIntegral.Box.coe_inj
@[ext]
theorem ext (H : ∀ x, x ∈ I ↔ x ∈ J) : I = J :=
injective_coe <| Set.ext H
#align box_integral.box.ext BoxIntegral.Box.ext
theorem ne_of_disjoint_coe (h : Disjoint (I : Set (ι → ℝ)) J) : I ≠ J :=
mt coe_inj.2 <| h.ne I.coe_ne_empty
#align box_integral.box.ne_of_disjoint_coe BoxIntegral.Box.ne_of_disjoint_coe
instance : PartialOrder (Box ι) :=
{ PartialOrder.lift ((↑) : Box ι → Set (ι → ℝ)) injective_coe with le := (· ≤ ·) }
protected def Icc : Box ι ↪o Set (ι → ℝ) :=
OrderEmbedding.ofMapLEIff (fun I : Box ι ↦ Icc I.lower I.upper) fun I J ↦ (le_TFAE I J).out 2 0
#align box_integral.box.Icc BoxIntegral.Box.Icc
theorem Icc_def : Box.Icc I = Icc I.lower I.upper := rfl
#align box_integral.box.Icc_def BoxIntegral.Box.Icc_def
@[simp]
theorem upper_mem_Icc (I : Box ι) : I.upper ∈ Box.Icc I :=
right_mem_Icc.2 I.lower_le_upper
#align box_integral.box.upper_mem_Icc BoxIntegral.Box.upper_mem_Icc
@[simp]
theorem lower_mem_Icc (I : Box ι) : I.lower ∈ Box.Icc I :=
left_mem_Icc.2 I.lower_le_upper
#align box_integral.box.lower_mem_Icc BoxIntegral.Box.lower_mem_Icc
protected theorem isCompact_Icc (I : Box ι) : IsCompact (Box.Icc I) :=
isCompact_Icc
#align box_integral.box.is_compact_Icc BoxIntegral.Box.isCompact_Icc
theorem Icc_eq_pi : Box.Icc I = pi univ fun i ↦ Icc (I.lower i) (I.upper i) :=
(pi_univ_Icc _ _).symm
#align box_integral.box.Icc_eq_pi BoxIntegral.Box.Icc_eq_pi
theorem le_iff_Icc : I ≤ J ↔ Box.Icc I ⊆ Box.Icc J :=
(le_TFAE I J).out 0 2
#align box_integral.box.le_iff_Icc BoxIntegral.Box.le_iff_Icc
theorem antitone_lower : Antitone fun I : Box ι ↦ I.lower :=
fun _ _ H ↦ (le_iff_bounds.1 H).1
#align box_integral.box.antitone_lower BoxIntegral.Box.antitone_lower
theorem monotone_upper : Monotone fun I : Box ι ↦ I.upper :=
fun _ _ H ↦ (le_iff_bounds.1 H).2
#align box_integral.box.monotone_upper BoxIntegral.Box.monotone_upper
theorem coe_subset_Icc : ↑I ⊆ Box.Icc I :=
fun _ hx ↦ ⟨fun i ↦ (hx i).1.le, fun i ↦ (hx i).2⟩
#align box_integral.box.coe_subset_Icc BoxIntegral.Box.coe_subset_Icc
instance : Sup (Box ι) :=
⟨fun I J ↦ ⟨I.lower ⊓ J.lower, I.upper ⊔ J.upper,
fun i ↦ (min_le_left _ _).trans_lt <| (I.lower_lt_upper i).trans_le (le_max_left _ _)⟩⟩
instance : SemilatticeSup (Box ι) :=
{ (inferInstance : PartialOrder (Box ι)),
(inferInstance : Sup (Box ι)) with
le_sup_left := fun _ _ ↦ le_iff_bounds.2 ⟨inf_le_left, le_sup_left⟩
le_sup_right := fun _ _ ↦ le_iff_bounds.2 ⟨inf_le_right, le_sup_right⟩
sup_le := fun _ _ _ h₁ h₂ ↦ le_iff_bounds.2
⟨le_inf (antitone_lower h₁) (antitone_lower h₂),
sup_le (monotone_upper h₁) (monotone_upper h₂)⟩ }
-- Porting note: added
@[coe]
def withBotToSet (o : WithBot (Box ι)) : Set (ι → ℝ) := o.elim ∅ (↑)
instance withBotCoe : CoeTC (WithBot (Box ι)) (Set (ι → ℝ)) :=
⟨withBotToSet⟩
#align box_integral.box.with_bot_coe BoxIntegral.Box.withBotCoe
@[simp, norm_cast]
theorem coe_bot : ((⊥ : WithBot (Box ι)) : Set (ι → ℝ)) = ∅ := rfl
#align box_integral.box.coe_bot BoxIntegral.Box.coe_bot
@[simp, norm_cast]
theorem coe_coe : ((I : WithBot (Box ι)) : Set (ι → ℝ)) = I := rfl
#align box_integral.box.coe_coe BoxIntegral.Box.coe_coe
theorem isSome_iff : ∀ {I : WithBot (Box ι)}, I.isSome ↔ (I : Set (ι → ℝ)).Nonempty
| ⊥ => by
erw [Option.isSome]
simp
| (I : Box ι) => by
erw [Option.isSome]
simp [I.nonempty_coe]
#align box_integral.box.is_some_iff BoxIntegral.Box.isSome_iff
theorem biUnion_coe_eq_coe (I : WithBot (Box ι)) :
⋃ (J : Box ι) (_ : ↑J = I), (J : Set (ι → ℝ)) = I := by
induction I <;> simp [WithBot.coe_eq_coe]
#align box_integral.box.bUnion_coe_eq_coe BoxIntegral.Box.biUnion_coe_eq_coe
@[simp, norm_cast]
theorem withBotCoe_subset_iff {I J : WithBot (Box ι)} : (I : Set (ι → ℝ)) ⊆ J ↔ I ≤ J := by
induction I; · simp
induction J; · simp [subset_empty_iff]
simp [le_def]
#align box_integral.box.with_bot_coe_subset_iff BoxIntegral.Box.withBotCoe_subset_iff
@[simp, norm_cast]
theorem withBotCoe_inj {I J : WithBot (Box ι)} : (I : Set (ι → ℝ)) = J ↔ I = J := by
simp only [Subset.antisymm_iff, ← le_antisymm_iff, withBotCoe_subset_iff]
#align box_integral.box.with_bot_coe_inj BoxIntegral.Box.withBotCoe_inj
def mk' (l u : ι → ℝ) : WithBot (Box ι) :=
if h : ∀ i, l i < u i then ↑(⟨l, u, h⟩ : Box ι) else ⊥
#align box_integral.box.mk' BoxIntegral.Box.mk'
@[simp]
theorem mk'_eq_bot {l u : ι → ℝ} : mk' l u = ⊥ ↔ ∃ i, u i ≤ l i := by
rw [mk']
split_ifs with h <;> simpa using h
#align box_integral.box.mk'_eq_bot BoxIntegral.Box.mk'_eq_bot
@[simp]
theorem mk'_eq_coe {l u : ι → ℝ} : mk' l u = I ↔ l = I.lower ∧ u = I.upper := by
cases' I with lI uI hI; rw [mk']; split_ifs with h
· simp [WithBot.coe_eq_coe]
· suffices l = lI → u ≠ uI by simpa
rintro rfl rfl
exact h hI
#align box_integral.box.mk'_eq_coe BoxIntegral.Box.mk'_eq_coe
@[simp]
theorem coe_mk' (l u : ι → ℝ) : (mk' l u : Set (ι → ℝ)) = pi univ fun i ↦ Ioc (l i) (u i) := by
rw [mk']; split_ifs with h
· exact coe_eq_pi _
· rcases not_forall.mp h with ⟨i, hi⟩
rw [coe_bot, univ_pi_eq_empty]
exact Ioc_eq_empty hi
#align box_integral.box.coe_mk' BoxIntegral.Box.coe_mk'
instance WithBot.inf : Inf (WithBot (Box ι)) :=
⟨fun I ↦
WithBot.recBotCoe (fun _ ↦ ⊥)
(fun I J ↦ WithBot.recBotCoe ⊥ (fun J ↦ mk' (I.lower ⊔ J.lower) (I.upper ⊓ J.upper)) J) I⟩
@[simp]
theorem coe_inf (I J : WithBot (Box ι)) : (↑(I ⊓ J) : Set (ι → ℝ)) = (I : Set _) ∩ J := by
induction I
· change ∅ = _
simp
induction J
· change ∅ = _
simp
change ((mk' _ _ : WithBot (Box ι)) : Set (ι → ℝ)) = _
simp only [coe_eq_pi, ← pi_inter_distrib, Ioc_inter_Ioc, Pi.sup_apply, Pi.inf_apply, coe_mk',
coe_coe]
#align box_integral.box.coe_inf BoxIntegral.Box.coe_inf
instance : Lattice (WithBot (Box ι)) :=
{ WithBot.semilatticeSup,
Box.WithBot.inf with
inf_le_left := fun I J ↦ by
rw [← withBotCoe_subset_iff, coe_inf]
exact inter_subset_left
inf_le_right := fun I J ↦ by
rw [← withBotCoe_subset_iff, coe_inf]
exact inter_subset_right
le_inf := fun I J₁ J₂ h₁ h₂ ↦ by
simp only [← withBotCoe_subset_iff, coe_inf] at *
exact subset_inter h₁ h₂ }
@[simp, norm_cast]
theorem disjoint_withBotCoe {I J : WithBot (Box ι)} :
Disjoint (I : Set (ι → ℝ)) J ↔ Disjoint I J := by
simp only [disjoint_iff_inf_le, ← withBotCoe_subset_iff, coe_inf]
rfl
#align box_integral.box.disjoint_with_bot_coe BoxIntegral.Box.disjoint_withBotCoe
theorem disjoint_coe : Disjoint (I : WithBot (Box ι)) J ↔ Disjoint (I : Set (ι → ℝ)) J :=
disjoint_withBotCoe.symm
#align box_integral.box.disjoint_coe BoxIntegral.Box.disjoint_coe
theorem not_disjoint_coe_iff_nonempty_inter :
¬Disjoint (I : WithBot (Box ι)) J ↔ (I ∩ J : Set (ι → ℝ)).Nonempty := by
rw [disjoint_coe, Set.not_disjoint_iff_nonempty_inter]
#align box_integral.box.not_disjoint_coe_iff_nonempty_inter BoxIntegral.Box.not_disjoint_coe_iff_nonempty_inter
@[simps (config := { simpRhs := true })]
def face {n} (I : Box (Fin (n + 1))) (i : Fin (n + 1)) : Box (Fin n) :=
⟨I.lower ∘ Fin.succAbove i, I.upper ∘ Fin.succAbove i, fun _ ↦ I.lower_lt_upper _⟩
#align box_integral.box.face BoxIntegral.Box.face
@[simp]
theorem face_mk {n} (l u : Fin (n + 1) → ℝ) (h : ∀ i, l i < u i) (i : Fin (n + 1)) :
face ⟨l, u, h⟩ i = ⟨l ∘ Fin.succAbove i, u ∘ Fin.succAbove i, fun _ ↦ h _⟩ := rfl
#align box_integral.box.face_mk BoxIntegral.Box.face_mk
@[mono]
theorem face_mono {n} {I J : Box (Fin (n + 1))} (h : I ≤ J) (i : Fin (n + 1)) :
face I i ≤ face J i :=
fun _ hx _ ↦ Ioc_subset_Ioc ((le_iff_bounds.1 h).1 _) ((le_iff_bounds.1 h).2 _) (hx _)
#align box_integral.box.face_mono BoxIntegral.Box.face_mono
theorem monotone_face {n} (i : Fin (n + 1)) : Monotone fun I ↦ face I i :=
fun _ _ h ↦ face_mono h i
#align box_integral.box.monotone_face BoxIntegral.Box.monotone_face
theorem mapsTo_insertNth_face_Icc {n} (I : Box (Fin (n + 1))) {i : Fin (n + 1)} {x : ℝ}
(hx : x ∈ Icc (I.lower i) (I.upper i)) :
MapsTo (i.insertNth x) (Box.Icc (I.face i)) (Box.Icc I) :=
fun _ hy ↦ Fin.insertNth_mem_Icc.2 ⟨hx, hy⟩
#align box_integral.box.maps_to_insert_nth_face_Icc BoxIntegral.Box.mapsTo_insertNth_face_Icc
theorem mapsTo_insertNth_face {n} (I : Box (Fin (n + 1))) {i : Fin (n + 1)} {x : ℝ}
(hx : x ∈ Ioc (I.lower i) (I.upper i)) :
MapsTo (i.insertNth x) (I.face i : Set (_ → _)) (I : Set (_ → _)) := by
intro y hy
simp_rw [mem_coe, mem_def, i.forall_iff_succAbove, Fin.insertNth_apply_same,
Fin.insertNth_apply_succAbove]
exact ⟨hx, hy⟩
#align box_integral.box.maps_to_insert_nth_face BoxIntegral.Box.mapsTo_insertNth_face
theorem continuousOn_face_Icc {X} [TopologicalSpace X] {n} {f : (Fin (n + 1) → ℝ) → X}
{I : Box (Fin (n + 1))} (h : ContinuousOn f (Box.Icc I)) {i : Fin (n + 1)} {x : ℝ}
(hx : x ∈ Icc (I.lower i) (I.upper i)) :
ContinuousOn (f ∘ i.insertNth x) (Box.Icc (I.face i)) :=
h.comp (continuousOn_const.fin_insertNth i continuousOn_id) (I.mapsTo_insertNth_face_Icc hx)
#align box_integral.box.continuous_on_face_Icc BoxIntegral.Box.continuousOn_face_Icc
protected def Ioo : Box ι →o Set (ι → ℝ) where
toFun I := pi univ fun i ↦ Ioo (I.lower i) (I.upper i)
monotone' _ _ h :=
pi_mono fun i _ ↦ Ioo_subset_Ioo ((le_iff_bounds.1 h).1 i) ((le_iff_bounds.1 h).2 i)
#align box_integral.box.Ioo BoxIntegral.Box.Ioo
theorem Ioo_subset_coe (I : Box ι) : Box.Ioo I ⊆ I :=
fun _ hx i ↦ Ioo_subset_Ioc_self (hx i trivial)
#align box_integral.box.Ioo_subset_coe BoxIntegral.Box.Ioo_subset_coe
protected theorem Ioo_subset_Icc (I : Box ι) : Box.Ioo I ⊆ Box.Icc I :=
I.Ioo_subset_coe.trans coe_subset_Icc
#align box_integral.box.Ioo_subset_Icc BoxIntegral.Box.Ioo_subset_Icc
theorem iUnion_Ioo_of_tendsto [Finite ι] {I : Box ι} {J : ℕ → Box ι} (hJ : Monotone J)
(hl : Tendsto (lower ∘ J) atTop (𝓝 I.lower)) (hu : Tendsto (upper ∘ J) atTop (𝓝 I.upper)) :
⋃ n, Box.Ioo (J n) = Box.Ioo I :=
have hl' : ∀ i, Antitone fun n ↦ (J n).lower i :=
fun i ↦ (monotone_eval i).comp_antitone (antitone_lower.comp_monotone hJ)
have hu' : ∀ i, Monotone fun n ↦ (J n).upper i :=
fun i ↦ (monotone_eval i).comp (monotone_upper.comp hJ)
calc
⋃ n, Box.Ioo (J n) = pi univ fun i ↦ ⋃ n, Ioo ((J n).lower i) ((J n).upper i) :=
iUnion_univ_pi_of_monotone fun i ↦ (hl' i).Ioo (hu' i)
_ = Box.Ioo I :=
pi_congr rfl fun i _ ↦
iUnion_Ioo_of_mono_of_isGLB_of_isLUB (hl' i) (hu' i)
(isGLB_of_tendsto_atTop (hl' i) (tendsto_pi_nhds.1 hl _))
(isLUB_of_tendsto_atTop (hu' i) (tendsto_pi_nhds.1 hu _))
#align box_integral.box.Union_Ioo_of_tendsto BoxIntegral.Box.iUnion_Ioo_of_tendsto
| Mathlib/Analysis/BoxIntegral/Box/Basic.lean | 480 | 490 | theorem exists_seq_mono_tendsto (I : Box ι) :
∃ J : ℕ →o Box ι,
(∀ n, Box.Icc (J n) ⊆ Box.Ioo I) ∧
Tendsto (lower ∘ J) atTop (𝓝 I.lower) ∧ Tendsto (upper ∘ J) atTop (𝓝 I.upper) := by |
choose a b ha_anti hb_mono ha_mem hb_mem hab ha_tendsto hb_tendsto using
fun i ↦ exists_seq_strictAnti_strictMono_tendsto (I.lower_lt_upper i)
exact
⟨⟨fun k ↦ ⟨flip a k, flip b k, fun i ↦ hab _ _ _⟩, fun k l hkl ↦
le_iff_bounds.2 ⟨fun i ↦ (ha_anti i).antitone hkl, fun i ↦ (hb_mono i).monotone hkl⟩⟩,
fun n x hx i _ ↦ ⟨(ha_mem _ _).1.trans_le (hx.1 _), (hx.2 _).trans_lt (hb_mem _ _).2⟩,
tendsto_pi_nhds.2 ha_tendsto, tendsto_pi_nhds.2 hb_tendsto⟩
|
import Mathlib.Data.Set.Lattice
import Mathlib.Data.Set.Pairwise.Basic
#align_import data.set.pairwise.lattice from "leanprover-community/mathlib"@"c4c2ed622f43768eff32608d4a0f8a6cec1c047d"
open Function Set Order
variable {α β γ ι ι' : Type*} {κ : Sort*} {r p q : α → α → Prop}
section Pairwise
variable {f g : ι → α} {s t u : Set α} {a b : α}
namespace Set
section CompleteLattice
variable [CompleteLattice α] {s : Set ι} {t : Set ι'}
theorem PairwiseDisjoint.biUnion {s : Set ι'} {g : ι' → Set ι} {f : ι → α}
(hs : s.PairwiseDisjoint fun i' : ι' => ⨆ i ∈ g i', f i)
(hg : ∀ i ∈ s, (g i).PairwiseDisjoint f) : (⋃ i ∈ s, g i).PairwiseDisjoint f := by
rintro a ha b hb hab
simp_rw [Set.mem_iUnion] at ha hb
obtain ⟨c, hc, ha⟩ := ha
obtain ⟨d, hd, hb⟩ := hb
obtain hcd | hcd := eq_or_ne (g c) (g d)
· exact hg d hd (hcd.subst ha) hb hab
-- Porting note: the elaborator couldn't figure out `f` here.
· exact (hs hc hd <| ne_of_apply_ne _ hcd).mono
(le_iSup₂ (f := fun i (_ : i ∈ g c) => f i) a ha)
(le_iSup₂ (f := fun i (_ : i ∈ g d) => f i) b hb)
#align set.pairwise_disjoint.bUnion Set.PairwiseDisjoint.biUnion
| Mathlib/Data/Set/Pairwise/Lattice.lean | 89 | 101 | theorem PairwiseDisjoint.prod_left {f : ι × ι' → α}
(hs : s.PairwiseDisjoint fun i => ⨆ i' ∈ t, f (i, i'))
(ht : t.PairwiseDisjoint fun i' => ⨆ i ∈ s, f (i, i')) :
(s ×ˢ t : Set (ι × ι')).PairwiseDisjoint f := by |
rintro ⟨i, i'⟩ hi ⟨j, j'⟩ hj h
rw [mem_prod] at hi hj
obtain rfl | hij := eq_or_ne i j
· refine (ht hi.2 hj.2 <| (Prod.mk.inj_left _).ne_iff.1 h).mono ?_ ?_
· convert le_iSup₂ (α := α) i hi.1; rfl
· convert le_iSup₂ (α := α) i hj.1; rfl
· refine (hs hi.1 hj.1 hij).mono ?_ ?_
· convert le_iSup₂ (α := α) i' hi.2; rfl
· convert le_iSup₂ (α := α) j' hj.2; rfl
|
import Mathlib.Algebra.CharP.ExpChar
import Mathlib.Algebra.GeomSum
import Mathlib.Algebra.MvPolynomial.CommRing
import Mathlib.Algebra.MvPolynomial.Equiv
import Mathlib.RingTheory.Polynomial.Content
import Mathlib.RingTheory.UniqueFactorizationDomain
#align_import ring_theory.polynomial.basic from "leanprover-community/mathlib"@"da420a8c6dd5bdfb85c4ced85c34388f633bc6ff"
noncomputable section
open Polynomial
open Finset
universe u v w
variable {R : Type u} {S : Type*}
namespace Polynomial
section Semiring
variable [Semiring R]
instance instCharP (p : ℕ) [h : CharP R p] : CharP R[X] p :=
let ⟨h⟩ := h
⟨fun n => by rw [← map_natCast C, ← C_0, C_inj, h]⟩
instance instExpChar (p : ℕ) [h : ExpChar R p] : ExpChar R[X] p := by
cases h; exacts [ExpChar.zero, ExpChar.prime ‹_›]
variable (R)
def degreeLE (n : WithBot ℕ) : Submodule R R[X] :=
⨅ k : ℕ, ⨅ _ : ↑k > n, LinearMap.ker (lcoeff R k)
#align polynomial.degree_le Polynomial.degreeLE
def degreeLT (n : ℕ) : Submodule R R[X] :=
⨅ k : ℕ, ⨅ (_ : k ≥ n), LinearMap.ker (lcoeff R k)
#align polynomial.degree_lt Polynomial.degreeLT
variable {R}
theorem mem_degreeLE {n : WithBot ℕ} {f : R[X]} : f ∈ degreeLE R n ↔ degree f ≤ n := by
simp only [degreeLE, Submodule.mem_iInf, degree_le_iff_coeff_zero, LinearMap.mem_ker]; rfl
#align polynomial.mem_degree_le Polynomial.mem_degreeLE
@[mono]
theorem degreeLE_mono {m n : WithBot ℕ} (H : m ≤ n) : degreeLE R m ≤ degreeLE R n := fun _ hf =>
mem_degreeLE.2 (le_trans (mem_degreeLE.1 hf) H)
#align polynomial.degree_le_mono Polynomial.degreeLE_mono
theorem degreeLE_eq_span_X_pow [DecidableEq R] {n : ℕ} :
degreeLE R n = Submodule.span R ↑((Finset.range (n + 1)).image fun n => (X : R[X]) ^ n) := by
apply le_antisymm
· intro p hp
replace hp := mem_degreeLE.1 hp
rw [← Polynomial.sum_monomial_eq p, Polynomial.sum]
refine Submodule.sum_mem _ fun k hk => ?_
have := WithBot.coe_le_coe.1 (Finset.sup_le_iff.1 hp k hk)
rw [← C_mul_X_pow_eq_monomial, C_mul']
refine
Submodule.smul_mem _ _
(Submodule.subset_span <|
Finset.mem_coe.2 <|
Finset.mem_image.2 ⟨_, Finset.mem_range.2 (Nat.lt_succ_of_le this), rfl⟩)
rw [Submodule.span_le, Finset.coe_image, Set.image_subset_iff]
intro k hk
apply mem_degreeLE.2
exact
(degree_X_pow_le _).trans (WithBot.coe_le_coe.2 <| Nat.le_of_lt_succ <| Finset.mem_range.1 hk)
set_option linter.uppercaseLean3 false in
#align polynomial.degree_le_eq_span_X_pow Polynomial.degreeLE_eq_span_X_pow
theorem mem_degreeLT {n : ℕ} {f : R[X]} : f ∈ degreeLT R n ↔ degree f < n := by
rw [degreeLT, Submodule.mem_iInf]
conv_lhs => intro i; rw [Submodule.mem_iInf]
rw [degree, Finset.max_eq_sup_coe]
rw [Finset.sup_lt_iff ?_]
rotate_left
· apply WithBot.bot_lt_coe
conv_rhs =>
simp only [mem_support_iff]
intro b
rw [Nat.cast_withBot, WithBot.coe_lt_coe, lt_iff_not_le, Ne, not_imp_not]
rfl
#align polynomial.mem_degree_lt Polynomial.mem_degreeLT
@[mono]
theorem degreeLT_mono {m n : ℕ} (H : m ≤ n) : degreeLT R m ≤ degreeLT R n := fun _ hf =>
mem_degreeLT.2 (lt_of_lt_of_le (mem_degreeLT.1 hf) <| WithBot.coe_le_coe.2 H)
#align polynomial.degree_lt_mono Polynomial.degreeLT_mono
| Mathlib/RingTheory/Polynomial/Basic.lean | 117 | 133 | theorem degreeLT_eq_span_X_pow [DecidableEq R] {n : ℕ} :
degreeLT R n = Submodule.span R ↑((Finset.range n).image fun n => X ^ n : Finset R[X]) := by |
apply le_antisymm
· intro p hp
replace hp := mem_degreeLT.1 hp
rw [← Polynomial.sum_monomial_eq p, Polynomial.sum]
refine Submodule.sum_mem _ fun k hk => ?_
have := WithBot.coe_lt_coe.1 ((Finset.sup_lt_iff <| WithBot.bot_lt_coe n).1 hp k hk)
rw [← C_mul_X_pow_eq_monomial, C_mul']
refine
Submodule.smul_mem _ _
(Submodule.subset_span <|
Finset.mem_coe.2 <| Finset.mem_image.2 ⟨_, Finset.mem_range.2 this, rfl⟩)
rw [Submodule.span_le, Finset.coe_image, Set.image_subset_iff]
intro k hk
apply mem_degreeLT.2
exact lt_of_le_of_lt (degree_X_pow_le _) (WithBot.coe_lt_coe.2 <| Finset.mem_range.1 hk)
|
import Mathlib.Algebra.Group.Defs
#align_import group_theory.eckmann_hilton from "leanprover-community/mathlib"@"41cf0cc2f528dd40a8f2db167ea4fb37b8fde7f3"
universe u
namespace EckmannHilton
variable {X : Type u}
local notation a " <" m:51 "> " b => m a b
structure IsUnital (m : X → X → X) (e : X) extends Std.LawfulIdentity m e : Prop
#align eckmann_hilton.is_unital EckmannHilton.IsUnital
@[to_additive EckmannHilton.AddZeroClass.IsUnital]
theorem MulOneClass.isUnital [_G : MulOneClass X] : IsUnital (· * ·) (1 : X) :=
IsUnital.mk { left_id := MulOneClass.one_mul,
right_id := MulOneClass.mul_one }
#align eckmann_hilton.mul_one_class.is_unital EckmannHilton.MulOneClass.isUnital
#align eckmann_hilton.add_zero_class.is_unital EckmannHilton.AddZeroClass.IsUnital
variable {m₁ m₂ : X → X → X} {e₁ e₂ : X}
variable (h₁ : IsUnital m₁ e₁) (h₂ : IsUnital m₂ e₂)
variable (distrib : ∀ a b c d, ((a <m₂> b) <m₁> c <m₂> d) = (a <m₁> c) <m₂> b <m₁> d)
theorem one : e₁ = e₂ := by
simpa only [h₁.left_id, h₁.right_id, h₂.left_id, h₂.right_id] using distrib e₂ e₁ e₁ e₂
#align eckmann_hilton.one EckmannHilton.one
| Mathlib/GroupTheory/EckmannHilton.lean | 64 | 69 | theorem mul : m₁ = m₂ := by |
funext a b
calc
m₁ a b = m₁ (m₂ a e₁) (m₂ e₁ b) := by
{ simp only [one h₁ h₂ distrib, h₁.left_id, h₁.right_id, h₂.left_id, h₂.right_id] }
_ = m₂ a b := by simp only [distrib, h₁.left_id, h₁.right_id, h₂.left_id, h₂.right_id]
|
import Mathlib.Init.Function
#align_import data.option.n_ary from "leanprover-community/mathlib"@"995b47e555f1b6297c7cf16855f1023e355219fb"
universe u
open Function
namespace Option
variable {α β γ δ : Type*} {f : α → β → γ} {a : Option α} {b : Option β} {c : Option γ}
def map₂ (f : α → β → γ) (a : Option α) (b : Option β) : Option γ :=
a.bind fun a => b.map <| f a
#align option.map₂ Option.map₂
theorem map₂_def {α β γ : Type u} (f : α → β → γ) (a : Option α) (b : Option β) :
map₂ f a b = f <$> a <*> b := by
cases a <;> rfl
#align option.map₂_def Option.map₂_def
-- Porting note (#10618): In Lean3, was `@[simp]` but now `simp` can prove it
theorem map₂_some_some (f : α → β → γ) (a : α) (b : β) : map₂ f (some a) (some b) = f a b := rfl
#align option.map₂_some_some Option.map₂_some_some
theorem map₂_coe_coe (f : α → β → γ) (a : α) (b : β) : map₂ f a b = f a b := rfl
#align option.map₂_coe_coe Option.map₂_coe_coe
@[simp]
theorem map₂_none_left (f : α → β → γ) (b : Option β) : map₂ f none b = none := rfl
#align option.map₂_none_left Option.map₂_none_left
@[simp]
theorem map₂_none_right (f : α → β → γ) (a : Option α) : map₂ f a none = none := by cases a <;> rfl
#align option.map₂_none_right Option.map₂_none_right
@[simp]
theorem map₂_coe_left (f : α → β → γ) (a : α) (b : Option β) : map₂ f a b = b.map fun b => f a b :=
rfl
#align option.map₂_coe_left Option.map₂_coe_left
-- Porting note: This proof was `rfl` in Lean3, but now is not.
@[simp]
theorem map₂_coe_right (f : α → β → γ) (a : Option α) (b : β) :
map₂ f a b = a.map fun a => f a b := by cases a <;> rfl
#align option.map₂_coe_right Option.map₂_coe_right
-- Porting note: Removed the `@[simp]` tag as membership of an `Option` is no-longer simp-normal.
theorem mem_map₂_iff {c : γ} : c ∈ map₂ f a b ↔ ∃ a' b', a' ∈ a ∧ b' ∈ b ∧ f a' b' = c := by
simp [map₂, bind_eq_some]
#align option.mem_map₂_iff Option.mem_map₂_iff
@[simp]
theorem map₂_eq_none_iff : map₂ f a b = none ↔ a = none ∨ b = none := by
cases a <;> cases b <;> simp
#align option.map₂_eq_none_iff Option.map₂_eq_none_iff
theorem map₂_swap (f : α → β → γ) (a : Option α) (b : Option β) :
map₂ f a b = map₂ (fun a b => f b a) b a := by cases a <;> cases b <;> rfl
#align option.map₂_swap Option.map₂_swap
theorem map_map₂ (f : α → β → γ) (g : γ → δ) :
(map₂ f a b).map g = map₂ (fun a b => g (f a b)) a b := by cases a <;> cases b <;> rfl
#align option.map_map₂ Option.map_map₂
theorem map₂_map_left (f : γ → β → δ) (g : α → γ) :
map₂ f (a.map g) b = map₂ (fun a b => f (g a) b) a b := by cases a <;> rfl
#align option.map₂_map_left Option.map₂_map_left
theorem map₂_map_right (f : α → γ → δ) (g : β → γ) :
map₂ f a (b.map g) = map₂ (fun a b => f a (g b)) a b := by cases b <;> rfl
#align option.map₂_map_right Option.map₂_map_right
@[simp]
theorem map₂_curry (f : α × β → γ) (a : Option α) (b : Option β) :
map₂ (curry f) a b = Option.map f (map₂ Prod.mk a b) := (map_map₂ _ _).symm
#align option.map₂_curry Option.map₂_curry
@[simp]
| Mathlib/Data/Option/NAry.lean | 109 | 110 | theorem map_uncurry (f : α → β → γ) (x : Option (α × β)) :
x.map (uncurry f) = map₂ f (x.map Prod.fst) (x.map Prod.snd) := by | cases x <;> rfl
|
import Mathlib.MeasureTheory.Function.SimpleFunc
import Mathlib.MeasureTheory.Constructions.BorelSpace.Metrizable
#align_import measure_theory.function.simple_func_dense from "leanprover-community/mathlib"@"7317149f12f55affbc900fc873d0d422485122b9"
open Set Function Filter TopologicalSpace ENNReal EMetric Finset
open scoped Classical
open Topology ENNReal MeasureTheory
variable {α β ι E F 𝕜 : Type*}
noncomputable section
namespace MeasureTheory
local infixr:25 " →ₛ " => SimpleFunc
namespace SimpleFunc
variable [MeasurableSpace α] [PseudoEMetricSpace α] [OpensMeasurableSpace α]
noncomputable def nearestPtInd (e : ℕ → α) : ℕ → α →ₛ ℕ
| 0 => const α 0
| N + 1 =>
piecewise (⋂ k ≤ N, { x | edist (e (N + 1)) x < edist (e k) x })
(MeasurableSet.iInter fun _ =>
MeasurableSet.iInter fun _ =>
measurableSet_lt measurable_edist_right measurable_edist_right)
(const α <| N + 1) (nearestPtInd e N)
#align measure_theory.simple_func.nearest_pt_ind MeasureTheory.SimpleFunc.nearestPtInd
noncomputable def nearestPt (e : ℕ → α) (N : ℕ) : α →ₛ α :=
(nearestPtInd e N).map e
#align measure_theory.simple_func.nearest_pt MeasureTheory.SimpleFunc.nearestPt
@[simp]
theorem nearestPtInd_zero (e : ℕ → α) : nearestPtInd e 0 = const α 0 :=
rfl
#align measure_theory.simple_func.nearest_pt_ind_zero MeasureTheory.SimpleFunc.nearestPtInd_zero
@[simp]
theorem nearestPt_zero (e : ℕ → α) : nearestPt e 0 = const α (e 0) :=
rfl
#align measure_theory.simple_func.nearest_pt_zero MeasureTheory.SimpleFunc.nearestPt_zero
theorem nearestPtInd_succ (e : ℕ → α) (N : ℕ) (x : α) :
nearestPtInd e (N + 1) x =
if ∀ k ≤ N, edist (e (N + 1)) x < edist (e k) x then N + 1 else nearestPtInd e N x := by
simp only [nearestPtInd, coe_piecewise, Set.piecewise]
congr
simp
#align measure_theory.simple_func.nearest_pt_ind_succ MeasureTheory.SimpleFunc.nearestPtInd_succ
theorem nearestPtInd_le (e : ℕ → α) (N : ℕ) (x : α) : nearestPtInd e N x ≤ N := by
induction' N with N ihN; · simp
simp only [nearestPtInd_succ]
split_ifs
exacts [le_rfl, ihN.trans N.le_succ]
#align measure_theory.simple_func.nearest_pt_ind_le MeasureTheory.SimpleFunc.nearestPtInd_le
theorem edist_nearestPt_le (e : ℕ → α) (x : α) {k N : ℕ} (hk : k ≤ N) :
edist (nearestPt e N x) x ≤ edist (e k) x := by
induction' N with N ihN generalizing k
· simp [nonpos_iff_eq_zero.1 hk, le_refl]
· simp only [nearestPt, nearestPtInd_succ, map_apply]
split_ifs with h
· rcases hk.eq_or_lt with (rfl | hk)
exacts [le_rfl, (h k (Nat.lt_succ_iff.1 hk)).le]
· push_neg at h
rcases h with ⟨l, hlN, hxl⟩
rcases hk.eq_or_lt with (rfl | hk)
exacts [(ihN hlN).trans hxl, ihN (Nat.lt_succ_iff.1 hk)]
#align measure_theory.simple_func.edist_nearest_pt_le MeasureTheory.SimpleFunc.edist_nearestPt_le
theorem tendsto_nearestPt {e : ℕ → α} {x : α} (hx : x ∈ closure (range e)) :
Tendsto (fun N => nearestPt e N x) atTop (𝓝 x) := by
refine (atTop_basis.tendsto_iff nhds_basis_eball).2 fun ε hε => ?_
rcases EMetric.mem_closure_iff.1 hx ε hε with ⟨_, ⟨N, rfl⟩, hN⟩
rw [edist_comm] at hN
exact ⟨N, trivial, fun n hn => (edist_nearestPt_le e x hn).trans_lt hN⟩
#align measure_theory.simple_func.tendsto_nearest_pt MeasureTheory.SimpleFunc.tendsto_nearestPt
variable [MeasurableSpace β] {f : β → α}
noncomputable def approxOn (f : β → α) (hf : Measurable f) (s : Set α) (y₀ : α) (h₀ : y₀ ∈ s)
[SeparableSpace s] (n : ℕ) : β →ₛ α :=
haveI : Nonempty s := ⟨⟨y₀, h₀⟩⟩
comp (nearestPt (fun k => Nat.casesOn k y₀ ((↑) ∘ denseSeq s) : ℕ → α) n) f hf
#align measure_theory.simple_func.approx_on MeasureTheory.SimpleFunc.approxOn
@[simp]
theorem approxOn_zero {f : β → α} (hf : Measurable f) {s : Set α} {y₀ : α} (h₀ : y₀ ∈ s)
[SeparableSpace s] (x : β) : approxOn f hf s y₀ h₀ 0 x = y₀ :=
rfl
#align measure_theory.simple_func.approx_on_zero MeasureTheory.SimpleFunc.approxOn_zero
theorem approxOn_mem {f : β → α} (hf : Measurable f) {s : Set α} {y₀ : α} (h₀ : y₀ ∈ s)
[SeparableSpace s] (n : ℕ) (x : β) : approxOn f hf s y₀ h₀ n x ∈ s := by
haveI : Nonempty s := ⟨⟨y₀, h₀⟩⟩
suffices ∀ n, (Nat.casesOn n y₀ ((↑) ∘ denseSeq s) : α) ∈ s by apply this
rintro (_ | n)
exacts [h₀, Subtype.mem _]
#align measure_theory.simple_func.approx_on_mem MeasureTheory.SimpleFunc.approxOn_mem
@[simp, nolint simpNF] -- Porting note: LHS doesn't simplify.
theorem approxOn_comp {γ : Type*} [MeasurableSpace γ] {f : β → α} (hf : Measurable f) {g : γ → β}
(hg : Measurable g) {s : Set α} {y₀ : α} (h₀ : y₀ ∈ s) [SeparableSpace s] (n : ℕ) :
approxOn (f ∘ g) (hf.comp hg) s y₀ h₀ n = (approxOn f hf s y₀ h₀ n).comp g hg :=
rfl
#align measure_theory.simple_func.approx_on_comp MeasureTheory.SimpleFunc.approxOn_comp
| Mathlib/MeasureTheory/Function/SimpleFuncDense.lean | 155 | 165 | theorem tendsto_approxOn {f : β → α} (hf : Measurable f) {s : Set α} {y₀ : α} (h₀ : y₀ ∈ s)
[SeparableSpace s] {x : β} (hx : f x ∈ closure s) :
Tendsto (fun n => approxOn f hf s y₀ h₀ n x) atTop (𝓝 <| f x) := by |
haveI : Nonempty s := ⟨⟨y₀, h₀⟩⟩
rw [← @Subtype.range_coe _ s, ← image_univ, ← (denseRange_denseSeq s).closure_eq] at hx
simp (config := { iota := false }) only [approxOn, coe_comp]
refine tendsto_nearestPt (closure_minimal ?_ isClosed_closure hx)
simp (config := { iota := false }) only [Nat.range_casesOn, closure_union, range_comp]
exact
Subset.trans (image_closure_subset_closure_image continuous_subtype_val)
subset_union_right
|
import Mathlib.AlgebraicGeometry.OpenImmersion
-- Explicit universe annotations were used in this file to improve perfomance #12737
set_option linter.uppercaseLean3 false
noncomputable section
open TopologicalSpace CategoryTheory Opposite
open CategoryTheory.Limits
namespace AlgebraicGeometry
universe v v₁ v₂ u u₁
variable {C : Type u₁} [Category.{v} C]
section
variable (X : Scheme.{u})
notation3:90 f:91 "⁻¹ᵁ " U:90 => (Opens.map (f : LocallyRingedSpace.Hom _ _).val.base).obj U
notation3:60 X:60 " ∣_ᵤ " U:61 => Scheme.restrict X (U : Opens X).openEmbedding
abbrev Scheme.ιOpens {X : Scheme.{u}} (U : Opens X.carrier) : X ∣_ᵤ U ⟶ X := X.ofRestrict _
lemma Scheme.ofRestrict_val_c_app_self {X : Scheme.{u}} (U : Opens X) :
(X.ofRestrict U.openEmbedding).1.c.app (op U) = X.presheaf.map (eqToHom (by simp)).op := rfl
lemma Scheme.eq_restrict_presheaf_map_eqToHom {X : Scheme.{u}} (U : Opens X) {V W : Opens U}
(e : U.openEmbedding.isOpenMap.functor.obj V = U.openEmbedding.isOpenMap.functor.obj W) :
X.presheaf.map (eqToHom e).op =
(X ∣_ᵤ U).presheaf.map (eqToHom <| U.openEmbedding.functor_obj_injective e).op := rfl
instance ΓRestrictAlgebra {X : Scheme.{u}} {Y : TopCat.{u}} {f : Y ⟶ X} (hf : OpenEmbedding f) :
Algebra (Scheme.Γ.obj (op X)) (Scheme.Γ.obj (op <| X.restrict hf)) :=
(Scheme.Γ.map (X.ofRestrict hf).op).toAlgebra
#align algebraic_geometry.Γ_restrict_algebra AlgebraicGeometry.ΓRestrictAlgebra
lemma Scheme.map_basicOpen' (X : Scheme.{u}) (U : Opens X) (r : Scheme.Γ.obj (op <| X ∣_ᵤ U)) :
U.openEmbedding.isOpenMap.functor.obj ((X ∣_ᵤ U).basicOpen r) = X.basicOpen
(X.presheaf.map (eqToHom U.openEmbedding_obj_top.symm).op r) := by
refine (Scheme.image_basicOpen (X.ofRestrict U.openEmbedding) r).trans ?_
erw [← Scheme.basicOpen_res_eq _ _ (eqToHom U.openEmbedding_obj_top).op]
rw [← comp_apply, ← CategoryTheory.Functor.map_comp, ← op_comp, eqToHom_trans, eqToHom_refl,
op_id, CategoryTheory.Functor.map_id]
congr
exact PresheafedSpace.IsOpenImmersion.ofRestrict_invApp _ _ _
lemma Scheme.map_basicOpen (X : Scheme.{u}) (U : Opens X) (r : Scheme.Γ.obj (op <| X ∣_ᵤ U)) :
U.openEmbedding.isOpenMap.functor.obj ((X ∣_ᵤ U).basicOpen r) = X.basicOpen r := by
rw [Scheme.map_basicOpen', Scheme.basicOpen_res_eq]
lemma Scheme.map_basicOpen_map (X : Scheme.{u}) (U : Opens X) (r : X.presheaf.obj (op U)) :
U.openEmbedding.isOpenMap.functor.obj ((X ∣_ᵤ U).basicOpen <|
X.presheaf.map (eqToHom U.openEmbedding_obj_top).op r) = X.basicOpen r := by
rw [Scheme.map_basicOpen', Scheme.basicOpen_res_eq, Scheme.basicOpen_res_eq]
-- Porting note: `simps` can't synthesize `obj_left, obj_hom, mapLeft`
-- @[simps obj_left obj_hom mapLeft]
def Scheme.restrictFunctor : Opens X ⥤ Over X where
obj U := Over.mk (ιOpens U)
map {U V} i :=
Over.homMk
(IsOpenImmersion.lift (ιOpens V) (ιOpens U) <| by
dsimp [restrict, ofRestrict, LocallyRingedSpace.ofRestrict, Opens.coe_inclusion]
rw [Subtype.range_val, Subtype.range_val]
exact i.le)
(IsOpenImmersion.lift_fac _ _ _)
map_id U := by
ext1
dsimp only [Over.homMk_left, Over.id_left]
rw [← cancel_mono (ιOpens U), Category.id_comp,
IsOpenImmersion.lift_fac]
map_comp {U V W} i j := by
ext1
dsimp only [Over.homMk_left, Over.comp_left]
rw [← cancel_mono (ιOpens W), Category.assoc]
iterate 3 rw [IsOpenImmersion.lift_fac]
#align algebraic_geometry.Scheme.restrict_functor AlgebraicGeometry.Scheme.restrictFunctor
@[simp] lemma Scheme.restrictFunctor_obj_left (U : Opens X) :
(X.restrictFunctor.obj U).left = X ∣_ᵤ U := rfl
@[simp] lemma Scheme.restrictFunctor_obj_hom (U : Opens X) :
(X.restrictFunctor.obj U).hom = Scheme.ιOpens U := rfl
@[simp] lemma Scheme.restrictFunctor_map_left {U V : Opens X} (i : U ⟶ V) :
(X.restrictFunctor.map i).left = IsOpenImmersion.lift (ιOpens V) (ιOpens U) (by
dsimp [ofRestrict, LocallyRingedSpace.ofRestrict, Opens.inclusion]
-- This used to be `rw`, but we need `erw` after leanprover/lean4#2644
erw [ContinuousMap.coe_mk, ContinuousMap.coe_mk]; rw [Subtype.range_val, Subtype.range_val]
exact i.le) := rfl
-- Porting note: the `by ...` used to be automatically done by unification magic
@[reassoc]
theorem Scheme.restrictFunctor_map_ofRestrict {U V : Opens X} (i : U ⟶ V) :
(X.restrictFunctor.map i).1 ≫ ιOpens V = ιOpens U :=
IsOpenImmersion.lift_fac _ _ (by
dsimp [restrict, ofRestrict, LocallyRingedSpace.ofRestrict]
rw [Subtype.range_val, Subtype.range_val]
exact i.le)
#align algebraic_geometry.Scheme.restrict_functor_map_ofRestrict AlgebraicGeometry.Scheme.restrictFunctor_map_ofRestrict
theorem Scheme.restrictFunctor_map_base {U V : Opens X} (i : U ⟶ V) :
(X.restrictFunctor.map i).1.1.base = (Opens.toTopCat _).map i := by
ext a; refine Subtype.ext ?_ -- Porting note: `ext` did not pick up `Subtype.ext`
exact (congr_arg (fun f : X.restrict U.openEmbedding ⟶ X => f.1.base a)
(X.restrictFunctor_map_ofRestrict i))
#align algebraic_geometry.Scheme.restrict_functor_map_base AlgebraicGeometry.Scheme.restrictFunctor_map_base
theorem Scheme.restrictFunctor_map_app_aux {U V : Opens X} (i : U ⟶ V) (W : Opens V) :
U.openEmbedding.isOpenMap.functor.obj ((X.restrictFunctor.map i).1 ⁻¹ᵁ W) ≤
V.openEmbedding.isOpenMap.functor.obj W := by
simp only [← SetLike.coe_subset_coe, IsOpenMap.functor_obj_coe, Set.image_subset_iff,
Scheme.restrictFunctor_map_base, Opens.map_coe, Opens.inclusion_apply]
rintro _ h
exact ⟨_, h, rfl⟩
#align algebraic_geometry.Scheme.restrict_functor_map_app_aux AlgebraicGeometry.Scheme.restrictFunctor_map_app_aux
| Mathlib/AlgebraicGeometry/Restrict.lean | 147 | 163 | theorem Scheme.restrictFunctor_map_app {U V : Opens X} (i : U ⟶ V) (W : Opens V) :
(X.restrictFunctor.map i).1.1.c.app (op W) =
X.presheaf.map (homOfLE <| X.restrictFunctor_map_app_aux i W).op := by |
have e₁ :=
Scheme.congr_app (X.restrictFunctor_map_ofRestrict i)
(op <| V.openEmbedding.isOpenMap.functor.obj W)
rw [Scheme.comp_val_c_app] at e₁
-- Porting note: `Opens.map_functor_eq` need more help
have e₂ := (X.restrictFunctor.map i).1.val.c.naturality (eqToHom <| W.map_functor_eq (U := V)).op
rw [← IsIso.eq_inv_comp] at e₂
dsimp [restrict] at e₁ e₂ ⊢
rw [e₂, W.adjunction_counit_map_functor (U := V), ← IsIso.eq_inv_comp, IsIso.inv_comp_eq,
← IsIso.eq_comp_inv] at e₁
simp_rw [eqToHom_map (Opens.map _), eqToHom_map (IsOpenMap.functor _), ← Functor.map_inv,
← Functor.map_comp] at e₁
rw [e₁]
congr 1
|
import Mathlib.Init.ZeroOne
import Mathlib.Data.Set.Defs
import Mathlib.Order.Basic
import Mathlib.Order.SymmDiff
import Mathlib.Tactic.Tauto
import Mathlib.Tactic.ByContra
import Mathlib.Util.Delaborators
#align_import data.set.basic from "leanprover-community/mathlib"@"001ffdc42920050657fd45bd2b8bfbec8eaaeb29"
open Function
universe u v w x
namespace Set
variable {α : Type u} {s t : Set α}
instance instBooleanAlgebraSet : BooleanAlgebra (Set α) :=
{ (inferInstance : BooleanAlgebra (α → Prop)) with
sup := (· ∪ ·),
le := (· ≤ ·),
lt := fun s t => s ⊆ t ∧ ¬t ⊆ s,
inf := (· ∩ ·),
bot := ∅,
compl := (·ᶜ),
top := univ,
sdiff := (· \ ·) }
instance : HasSSubset (Set α) :=
⟨(· < ·)⟩
@[simp]
theorem top_eq_univ : (⊤ : Set α) = univ :=
rfl
#align set.top_eq_univ Set.top_eq_univ
@[simp]
theorem bot_eq_empty : (⊥ : Set α) = ∅ :=
rfl
#align set.bot_eq_empty Set.bot_eq_empty
@[simp]
theorem sup_eq_union : ((· ⊔ ·) : Set α → Set α → Set α) = (· ∪ ·) :=
rfl
#align set.sup_eq_union Set.sup_eq_union
@[simp]
theorem inf_eq_inter : ((· ⊓ ·) : Set α → Set α → Set α) = (· ∩ ·) :=
rfl
#align set.inf_eq_inter Set.inf_eq_inter
@[simp]
theorem le_eq_subset : ((· ≤ ·) : Set α → Set α → Prop) = (· ⊆ ·) :=
rfl
#align set.le_eq_subset Set.le_eq_subset
@[simp]
theorem lt_eq_ssubset : ((· < ·) : Set α → Set α → Prop) = (· ⊂ ·) :=
rfl
#align set.lt_eq_ssubset Set.lt_eq_ssubset
theorem le_iff_subset : s ≤ t ↔ s ⊆ t :=
Iff.rfl
#align set.le_iff_subset Set.le_iff_subset
theorem lt_iff_ssubset : s < t ↔ s ⊂ t :=
Iff.rfl
#align set.lt_iff_ssubset Set.lt_iff_ssubset
alias ⟨_root_.LE.le.subset, _root_.HasSubset.Subset.le⟩ := le_iff_subset
#align has_subset.subset.le HasSubset.Subset.le
alias ⟨_root_.LT.lt.ssubset, _root_.HasSSubset.SSubset.lt⟩ := lt_iff_ssubset
#align has_ssubset.ssubset.lt HasSSubset.SSubset.lt
instance PiSetCoe.canLift (ι : Type u) (α : ι → Type v) [∀ i, Nonempty (α i)] (s : Set ι) :
CanLift (∀ i : s, α i) (∀ i, α i) (fun f i => f i) fun _ => True :=
PiSubtype.canLift ι α s
#align set.pi_set_coe.can_lift Set.PiSetCoe.canLift
instance PiSetCoe.canLift' (ι : Type u) (α : Type v) [Nonempty α] (s : Set ι) :
CanLift (s → α) (ι → α) (fun f i => f i) fun _ => True :=
PiSetCoe.canLift ι (fun _ => α) s
#align set.pi_set_coe.can_lift' Set.PiSetCoe.canLift'
end Set
theorem Subtype.mem {α : Type*} {s : Set α} (p : s) : (p : α) ∈ s :=
p.prop
#align subtype.mem Subtype.mem
theorem Eq.subset {α} {s t : Set α} : s = t → s ⊆ t :=
fun h₁ _ h₂ => by rw [← h₁]; exact h₂
#align eq.subset Eq.subset
namespace Set
variable {α : Type u} {β : Type v} {γ : Type w} {ι : Sort x} {a b : α} {s s₁ s₂ t t₁ t₂ u : Set α}
instance : Inhabited (Set α) :=
⟨∅⟩
theorem ext_iff {s t : Set α} : s = t ↔ ∀ x, x ∈ s ↔ x ∈ t :=
⟨fun h x => by rw [h], ext⟩
#align set.ext_iff Set.ext_iff
@[trans]
theorem mem_of_mem_of_subset {x : α} {s t : Set α} (hx : x ∈ s) (h : s ⊆ t) : x ∈ t :=
h hx
#align set.mem_of_mem_of_subset Set.mem_of_mem_of_subset
theorem forall_in_swap {p : α → β → Prop} : (∀ a ∈ s, ∀ (b), p a b) ↔ ∀ (b), ∀ a ∈ s, p a b := by
tauto
#align set.forall_in_swap Set.forall_in_swap
theorem mem_setOf {a : α} {p : α → Prop} : a ∈ { x | p x } ↔ p a :=
Iff.rfl
#align set.mem_set_of Set.mem_setOf
theorem _root_.Membership.mem.out {p : α → Prop} {a : α} (h : a ∈ { x | p x }) : p a :=
h
#align has_mem.mem.out Membership.mem.out
theorem nmem_setOf_iff {a : α} {p : α → Prop} : a ∉ { x | p x } ↔ ¬p a :=
Iff.rfl
#align set.nmem_set_of_iff Set.nmem_setOf_iff
@[simp]
theorem setOf_mem_eq {s : Set α} : { x | x ∈ s } = s :=
rfl
#align set.set_of_mem_eq Set.setOf_mem_eq
theorem setOf_set {s : Set α} : setOf s = s :=
rfl
#align set.set_of_set Set.setOf_set
theorem setOf_app_iff {p : α → Prop} {x : α} : { x | p x } x ↔ p x :=
Iff.rfl
#align set.set_of_app_iff Set.setOf_app_iff
theorem mem_def {a : α} {s : Set α} : a ∈ s ↔ s a :=
Iff.rfl
#align set.mem_def Set.mem_def
theorem setOf_bijective : Bijective (setOf : (α → Prop) → Set α) :=
bijective_id
#align set.set_of_bijective Set.setOf_bijective
theorem subset_setOf {p : α → Prop} {s : Set α} : s ⊆ setOf p ↔ ∀ x, x ∈ s → p x :=
Iff.rfl
theorem setOf_subset {p : α → Prop} {s : Set α} : setOf p ⊆ s ↔ ∀ x, p x → x ∈ s :=
Iff.rfl
@[simp]
theorem setOf_subset_setOf {p q : α → Prop} : { a | p a } ⊆ { a | q a } ↔ ∀ a, p a → q a :=
Iff.rfl
#align set.set_of_subset_set_of Set.setOf_subset_setOf
theorem setOf_and {p q : α → Prop} : { a | p a ∧ q a } = { a | p a } ∩ { a | q a } :=
rfl
#align set.set_of_and Set.setOf_and
theorem setOf_or {p q : α → Prop} : { a | p a ∨ q a } = { a | p a } ∪ { a | q a } :=
rfl
#align set.set_of_or Set.setOf_or
instance : IsRefl (Set α) (· ⊆ ·) :=
show IsRefl (Set α) (· ≤ ·) by infer_instance
instance : IsTrans (Set α) (· ⊆ ·) :=
show IsTrans (Set α) (· ≤ ·) by infer_instance
instance : Trans ((· ⊆ ·) : Set α → Set α → Prop) (· ⊆ ·) (· ⊆ ·) :=
show Trans (· ≤ ·) (· ≤ ·) (· ≤ ·) by infer_instance
instance : IsAntisymm (Set α) (· ⊆ ·) :=
show IsAntisymm (Set α) (· ≤ ·) by infer_instance
instance : IsIrrefl (Set α) (· ⊂ ·) :=
show IsIrrefl (Set α) (· < ·) by infer_instance
instance : IsTrans (Set α) (· ⊂ ·) :=
show IsTrans (Set α) (· < ·) by infer_instance
instance : Trans ((· ⊂ ·) : Set α → Set α → Prop) (· ⊂ ·) (· ⊂ ·) :=
show Trans (· < ·) (· < ·) (· < ·) by infer_instance
instance : Trans ((· ⊂ ·) : Set α → Set α → Prop) (· ⊆ ·) (· ⊂ ·) :=
show Trans (· < ·) (· ≤ ·) (· < ·) by infer_instance
instance : Trans ((· ⊆ ·) : Set α → Set α → Prop) (· ⊂ ·) (· ⊂ ·) :=
show Trans (· ≤ ·) (· < ·) (· < ·) by infer_instance
instance : IsAsymm (Set α) (· ⊂ ·) :=
show IsAsymm (Set α) (· < ·) by infer_instance
instance : IsNonstrictStrictOrder (Set α) (· ⊆ ·) (· ⊂ ·) :=
⟨fun _ _ => Iff.rfl⟩
-- TODO(Jeremy): write a tactic to unfold specific instances of generic notation?
theorem subset_def : (s ⊆ t) = ∀ x, x ∈ s → x ∈ t :=
rfl
#align set.subset_def Set.subset_def
theorem ssubset_def : (s ⊂ t) = (s ⊆ t ∧ ¬t ⊆ s) :=
rfl
#align set.ssubset_def Set.ssubset_def
@[refl]
theorem Subset.refl (a : Set α) : a ⊆ a := fun _ => id
#align set.subset.refl Set.Subset.refl
theorem Subset.rfl {s : Set α} : s ⊆ s :=
Subset.refl s
#align set.subset.rfl Set.Subset.rfl
@[trans]
theorem Subset.trans {a b c : Set α} (ab : a ⊆ b) (bc : b ⊆ c) : a ⊆ c := fun _ h => bc <| ab h
#align set.subset.trans Set.Subset.trans
@[trans]
theorem mem_of_eq_of_mem {x y : α} {s : Set α} (hx : x = y) (h : y ∈ s) : x ∈ s :=
hx.symm ▸ h
#align set.mem_of_eq_of_mem Set.mem_of_eq_of_mem
theorem Subset.antisymm {a b : Set α} (h₁ : a ⊆ b) (h₂ : b ⊆ a) : a = b :=
Set.ext fun _ => ⟨@h₁ _, @h₂ _⟩
#align set.subset.antisymm Set.Subset.antisymm
theorem Subset.antisymm_iff {a b : Set α} : a = b ↔ a ⊆ b ∧ b ⊆ a :=
⟨fun e => ⟨e.subset, e.symm.subset⟩, fun ⟨h₁, h₂⟩ => Subset.antisymm h₁ h₂⟩
#align set.subset.antisymm_iff Set.Subset.antisymm_iff
-- an alternative name
theorem eq_of_subset_of_subset {a b : Set α} : a ⊆ b → b ⊆ a → a = b :=
Subset.antisymm
#align set.eq_of_subset_of_subset Set.eq_of_subset_of_subset
theorem mem_of_subset_of_mem {s₁ s₂ : Set α} {a : α} (h : s₁ ⊆ s₂) : a ∈ s₁ → a ∈ s₂ :=
@h _
#align set.mem_of_subset_of_mem Set.mem_of_subset_of_mem
theorem not_mem_subset (h : s ⊆ t) : a ∉ t → a ∉ s :=
mt <| mem_of_subset_of_mem h
#align set.not_mem_subset Set.not_mem_subset
theorem not_subset : ¬s ⊆ t ↔ ∃ a ∈ s, a ∉ t := by
simp only [subset_def, not_forall, exists_prop]
#align set.not_subset Set.not_subset
lemma eq_of_forall_subset_iff (h : ∀ u, s ⊆ u ↔ t ⊆ u) : s = t := eq_of_forall_ge_iff h
protected theorem eq_or_ssubset_of_subset (h : s ⊆ t) : s = t ∨ s ⊂ t :=
eq_or_lt_of_le h
#align set.eq_or_ssubset_of_subset Set.eq_or_ssubset_of_subset
theorem exists_of_ssubset {s t : Set α} (h : s ⊂ t) : ∃ x ∈ t, x ∉ s :=
not_subset.1 h.2
#align set.exists_of_ssubset Set.exists_of_ssubset
protected theorem ssubset_iff_subset_ne {s t : Set α} : s ⊂ t ↔ s ⊆ t ∧ s ≠ t :=
@lt_iff_le_and_ne (Set α) _ s t
#align set.ssubset_iff_subset_ne Set.ssubset_iff_subset_ne
theorem ssubset_iff_of_subset {s t : Set α} (h : s ⊆ t) : s ⊂ t ↔ ∃ x ∈ t, x ∉ s :=
⟨exists_of_ssubset, fun ⟨_, hxt, hxs⟩ => ⟨h, fun h => hxs <| h hxt⟩⟩
#align set.ssubset_iff_of_subset Set.ssubset_iff_of_subset
protected theorem ssubset_of_ssubset_of_subset {s₁ s₂ s₃ : Set α} (hs₁s₂ : s₁ ⊂ s₂)
(hs₂s₃ : s₂ ⊆ s₃) : s₁ ⊂ s₃ :=
⟨Subset.trans hs₁s₂.1 hs₂s₃, fun hs₃s₁ => hs₁s₂.2 (Subset.trans hs₂s₃ hs₃s₁)⟩
#align set.ssubset_of_ssubset_of_subset Set.ssubset_of_ssubset_of_subset
protected theorem ssubset_of_subset_of_ssubset {s₁ s₂ s₃ : Set α} (hs₁s₂ : s₁ ⊆ s₂)
(hs₂s₃ : s₂ ⊂ s₃) : s₁ ⊂ s₃ :=
⟨Subset.trans hs₁s₂ hs₂s₃.1, fun hs₃s₁ => hs₂s₃.2 (Subset.trans hs₃s₁ hs₁s₂)⟩
#align set.ssubset_of_subset_of_ssubset Set.ssubset_of_subset_of_ssubset
theorem not_mem_empty (x : α) : ¬x ∈ (∅ : Set α) :=
id
#align set.not_mem_empty Set.not_mem_empty
-- Porting note (#10618): removed `simp` because `simp` can prove it
theorem not_not_mem : ¬a ∉ s ↔ a ∈ s :=
not_not
#align set.not_not_mem Set.not_not_mem
-- Porting note: we seem to need parentheses at `(↥s)`,
-- even if we increase the right precedence of `↥` in `Mathlib.Tactic.Coe`.
-- Porting note: removed `simp` as it is competing with `nonempty_subtype`.
-- @[simp]
theorem nonempty_coe_sort {s : Set α} : Nonempty (↥s) ↔ s.Nonempty :=
nonempty_subtype
#align set.nonempty_coe_sort Set.nonempty_coe_sort
alias ⟨_, Nonempty.coe_sort⟩ := nonempty_coe_sort
#align set.nonempty.coe_sort Set.Nonempty.coe_sort
theorem nonempty_def : s.Nonempty ↔ ∃ x, x ∈ s :=
Iff.rfl
#align set.nonempty_def Set.nonempty_def
theorem nonempty_of_mem {x} (h : x ∈ s) : s.Nonempty :=
⟨x, h⟩
#align set.nonempty_of_mem Set.nonempty_of_mem
theorem Nonempty.not_subset_empty : s.Nonempty → ¬s ⊆ ∅
| ⟨_, hx⟩, hs => hs hx
#align set.nonempty.not_subset_empty Set.Nonempty.not_subset_empty
protected noncomputable def Nonempty.some (h : s.Nonempty) : α :=
Classical.choose h
#align set.nonempty.some Set.Nonempty.some
protected theorem Nonempty.some_mem (h : s.Nonempty) : h.some ∈ s :=
Classical.choose_spec h
#align set.nonempty.some_mem Set.Nonempty.some_mem
theorem Nonempty.mono (ht : s ⊆ t) (hs : s.Nonempty) : t.Nonempty :=
hs.imp ht
#align set.nonempty.mono Set.Nonempty.mono
theorem nonempty_of_not_subset (h : ¬s ⊆ t) : (s \ t).Nonempty :=
let ⟨x, xs, xt⟩ := not_subset.1 h
⟨x, xs, xt⟩
#align set.nonempty_of_not_subset Set.nonempty_of_not_subset
theorem nonempty_of_ssubset (ht : s ⊂ t) : (t \ s).Nonempty :=
nonempty_of_not_subset ht.2
#align set.nonempty_of_ssubset Set.nonempty_of_ssubset
theorem Nonempty.of_diff (h : (s \ t).Nonempty) : s.Nonempty :=
h.imp fun _ => And.left
#align set.nonempty.of_diff Set.Nonempty.of_diff
theorem nonempty_of_ssubset' (ht : s ⊂ t) : t.Nonempty :=
(nonempty_of_ssubset ht).of_diff
#align set.nonempty_of_ssubset' Set.nonempty_of_ssubset'
theorem Nonempty.inl (hs : s.Nonempty) : (s ∪ t).Nonempty :=
hs.imp fun _ => Or.inl
#align set.nonempty.inl Set.Nonempty.inl
theorem Nonempty.inr (ht : t.Nonempty) : (s ∪ t).Nonempty :=
ht.imp fun _ => Or.inr
#align set.nonempty.inr Set.Nonempty.inr
@[simp]
theorem union_nonempty : (s ∪ t).Nonempty ↔ s.Nonempty ∨ t.Nonempty :=
exists_or
#align set.union_nonempty Set.union_nonempty
theorem Nonempty.left (h : (s ∩ t).Nonempty) : s.Nonempty :=
h.imp fun _ => And.left
#align set.nonempty.left Set.Nonempty.left
theorem Nonempty.right (h : (s ∩ t).Nonempty) : t.Nonempty :=
h.imp fun _ => And.right
#align set.nonempty.right Set.Nonempty.right
theorem inter_nonempty : (s ∩ t).Nonempty ↔ ∃ x, x ∈ s ∧ x ∈ t :=
Iff.rfl
#align set.inter_nonempty Set.inter_nonempty
theorem inter_nonempty_iff_exists_left : (s ∩ t).Nonempty ↔ ∃ x ∈ s, x ∈ t := by
simp_rw [inter_nonempty]
#align set.inter_nonempty_iff_exists_left Set.inter_nonempty_iff_exists_left
theorem inter_nonempty_iff_exists_right : (s ∩ t).Nonempty ↔ ∃ x ∈ t, x ∈ s := by
simp_rw [inter_nonempty, and_comm]
#align set.inter_nonempty_iff_exists_right Set.inter_nonempty_iff_exists_right
theorem nonempty_iff_univ_nonempty : Nonempty α ↔ (univ : Set α).Nonempty :=
⟨fun ⟨x⟩ => ⟨x, trivial⟩, fun ⟨x, _⟩ => ⟨x⟩⟩
#align set.nonempty_iff_univ_nonempty Set.nonempty_iff_univ_nonempty
@[simp]
theorem univ_nonempty : ∀ [Nonempty α], (univ : Set α).Nonempty
| ⟨x⟩ => ⟨x, trivial⟩
#align set.univ_nonempty Set.univ_nonempty
theorem Nonempty.to_subtype : s.Nonempty → Nonempty (↥s) :=
nonempty_subtype.2
#align set.nonempty.to_subtype Set.Nonempty.to_subtype
theorem Nonempty.to_type : s.Nonempty → Nonempty α := fun ⟨x, _⟩ => ⟨x⟩
#align set.nonempty.to_type Set.Nonempty.to_type
instance univ.nonempty [Nonempty α] : Nonempty (↥(Set.univ : Set α)) :=
Set.univ_nonempty.to_subtype
#align set.univ.nonempty Set.univ.nonempty
theorem nonempty_of_nonempty_subtype [Nonempty (↥s)] : s.Nonempty :=
nonempty_subtype.mp ‹_›
#align set.nonempty_of_nonempty_subtype Set.nonempty_of_nonempty_subtype
theorem empty_def : (∅ : Set α) = { _x : α | False } :=
rfl
#align set.empty_def Set.empty_def
@[simp]
theorem mem_empty_iff_false (x : α) : x ∈ (∅ : Set α) ↔ False :=
Iff.rfl
#align set.mem_empty_iff_false Set.mem_empty_iff_false
@[simp]
theorem setOf_false : { _a : α | False } = ∅ :=
rfl
#align set.set_of_false Set.setOf_false
@[simp] theorem setOf_bot : { _x : α | ⊥ } = ∅ := rfl
@[simp]
theorem empty_subset (s : Set α) : ∅ ⊆ s :=
nofun
#align set.empty_subset Set.empty_subset
theorem subset_empty_iff {s : Set α} : s ⊆ ∅ ↔ s = ∅ :=
(Subset.antisymm_iff.trans <| and_iff_left (empty_subset _)).symm
#align set.subset_empty_iff Set.subset_empty_iff
theorem eq_empty_iff_forall_not_mem {s : Set α} : s = ∅ ↔ ∀ x, x ∉ s :=
subset_empty_iff.symm
#align set.eq_empty_iff_forall_not_mem Set.eq_empty_iff_forall_not_mem
theorem eq_empty_of_forall_not_mem (h : ∀ x, x ∉ s) : s = ∅ :=
subset_empty_iff.1 h
#align set.eq_empty_of_forall_not_mem Set.eq_empty_of_forall_not_mem
theorem eq_empty_of_subset_empty {s : Set α} : s ⊆ ∅ → s = ∅ :=
subset_empty_iff.1
#align set.eq_empty_of_subset_empty Set.eq_empty_of_subset_empty
theorem eq_empty_of_isEmpty [IsEmpty α] (s : Set α) : s = ∅ :=
eq_empty_of_subset_empty fun x _ => isEmptyElim x
#align set.eq_empty_of_is_empty Set.eq_empty_of_isEmpty
instance uniqueEmpty [IsEmpty α] : Unique (Set α) where
default := ∅
uniq := eq_empty_of_isEmpty
#align set.unique_empty Set.uniqueEmpty
theorem not_nonempty_iff_eq_empty {s : Set α} : ¬s.Nonempty ↔ s = ∅ := by
simp only [Set.Nonempty, not_exists, eq_empty_iff_forall_not_mem]
#align set.not_nonempty_iff_eq_empty Set.not_nonempty_iff_eq_empty
theorem nonempty_iff_ne_empty : s.Nonempty ↔ s ≠ ∅ :=
not_nonempty_iff_eq_empty.not_right
#align set.nonempty_iff_ne_empty Set.nonempty_iff_ne_empty
theorem not_nonempty_iff_eq_empty' : ¬Nonempty s ↔ s = ∅ := by
rw [nonempty_subtype, not_exists, eq_empty_iff_forall_not_mem]
theorem nonempty_iff_ne_empty' : Nonempty s ↔ s ≠ ∅ :=
not_nonempty_iff_eq_empty'.not_right
alias ⟨Nonempty.ne_empty, _⟩ := nonempty_iff_ne_empty
#align set.nonempty.ne_empty Set.Nonempty.ne_empty
@[simp]
theorem not_nonempty_empty : ¬(∅ : Set α).Nonempty := fun ⟨_, hx⟩ => hx
#align set.not_nonempty_empty Set.not_nonempty_empty
-- Porting note: removing `@[simp]` as it is competing with `isEmpty_subtype`.
-- @[simp]
theorem isEmpty_coe_sort {s : Set α} : IsEmpty (↥s) ↔ s = ∅ :=
not_iff_not.1 <| by simpa using nonempty_iff_ne_empty
#align set.is_empty_coe_sort Set.isEmpty_coe_sort
theorem eq_empty_or_nonempty (s : Set α) : s = ∅ ∨ s.Nonempty :=
or_iff_not_imp_left.2 nonempty_iff_ne_empty.2
#align set.eq_empty_or_nonempty Set.eq_empty_or_nonempty
theorem subset_eq_empty {s t : Set α} (h : t ⊆ s) (e : s = ∅) : t = ∅ :=
subset_empty_iff.1 <| e ▸ h
#align set.subset_eq_empty Set.subset_eq_empty
theorem forall_mem_empty {p : α → Prop} : (∀ x ∈ (∅ : Set α), p x) ↔ True :=
iff_true_intro fun _ => False.elim
#align set.ball_empty_iff Set.forall_mem_empty
@[deprecated (since := "2024-03-23")] alias ball_empty_iff := forall_mem_empty
instance (α : Type u) : IsEmpty.{u + 1} (↥(∅ : Set α)) :=
⟨fun x => x.2⟩
@[simp]
theorem empty_ssubset : ∅ ⊂ s ↔ s.Nonempty :=
(@bot_lt_iff_ne_bot (Set α) _ _ _).trans nonempty_iff_ne_empty.symm
#align set.empty_ssubset Set.empty_ssubset
alias ⟨_, Nonempty.empty_ssubset⟩ := empty_ssubset
#align set.nonempty.empty_ssubset Set.Nonempty.empty_ssubset
@[simp]
theorem setOf_true : { _x : α | True } = univ :=
rfl
#align set.set_of_true Set.setOf_true
@[simp] theorem setOf_top : { _x : α | ⊤ } = univ := rfl
@[simp]
theorem univ_eq_empty_iff : (univ : Set α) = ∅ ↔ IsEmpty α :=
eq_empty_iff_forall_not_mem.trans
⟨fun H => ⟨fun x => H x trivial⟩, fun H x _ => @IsEmpty.false α H x⟩
#align set.univ_eq_empty_iff Set.univ_eq_empty_iff
theorem empty_ne_univ [Nonempty α] : (∅ : Set α) ≠ univ := fun e =>
not_isEmpty_of_nonempty α <| univ_eq_empty_iff.1 e.symm
#align set.empty_ne_univ Set.empty_ne_univ
@[simp]
theorem subset_univ (s : Set α) : s ⊆ univ := fun _ _ => trivial
#align set.subset_univ Set.subset_univ
@[simp]
theorem univ_subset_iff {s : Set α} : univ ⊆ s ↔ s = univ :=
@top_le_iff _ _ _ s
#align set.univ_subset_iff Set.univ_subset_iff
alias ⟨eq_univ_of_univ_subset, _⟩ := univ_subset_iff
#align set.eq_univ_of_univ_subset Set.eq_univ_of_univ_subset
theorem eq_univ_iff_forall {s : Set α} : s = univ ↔ ∀ x, x ∈ s :=
univ_subset_iff.symm.trans <| forall_congr' fun _ => imp_iff_right trivial
#align set.eq_univ_iff_forall Set.eq_univ_iff_forall
theorem eq_univ_of_forall {s : Set α} : (∀ x, x ∈ s) → s = univ :=
eq_univ_iff_forall.2
#align set.eq_univ_of_forall Set.eq_univ_of_forall
theorem Nonempty.eq_univ [Subsingleton α] : s.Nonempty → s = univ := by
rintro ⟨x, hx⟩
exact eq_univ_of_forall fun y => by rwa [Subsingleton.elim y x]
#align set.nonempty.eq_univ Set.Nonempty.eq_univ
theorem eq_univ_of_subset {s t : Set α} (h : s ⊆ t) (hs : s = univ) : t = univ :=
eq_univ_of_univ_subset <| (hs ▸ h : univ ⊆ t)
#align set.eq_univ_of_subset Set.eq_univ_of_subset
theorem exists_mem_of_nonempty (α) : ∀ [Nonempty α], ∃ x : α, x ∈ (univ : Set α)
| ⟨x⟩ => ⟨x, trivial⟩
#align set.exists_mem_of_nonempty Set.exists_mem_of_nonempty
theorem ne_univ_iff_exists_not_mem {α : Type*} (s : Set α) : s ≠ univ ↔ ∃ a, a ∉ s := by
rw [← not_forall, ← eq_univ_iff_forall]
#align set.ne_univ_iff_exists_not_mem Set.ne_univ_iff_exists_not_mem
theorem not_subset_iff_exists_mem_not_mem {α : Type*} {s t : Set α} :
¬s ⊆ t ↔ ∃ x, x ∈ s ∧ x ∉ t := by simp [subset_def]
#align set.not_subset_iff_exists_mem_not_mem Set.not_subset_iff_exists_mem_not_mem
theorem univ_unique [Unique α] : @Set.univ α = {default} :=
Set.ext fun x => iff_of_true trivial <| Subsingleton.elim x default
#align set.univ_unique Set.univ_unique
theorem ssubset_univ_iff : s ⊂ univ ↔ s ≠ univ :=
lt_top_iff_ne_top
#align set.ssubset_univ_iff Set.ssubset_univ_iff
instance nontrivial_of_nonempty [Nonempty α] : Nontrivial (Set α) :=
⟨⟨∅, univ, empty_ne_univ⟩⟩
#align set.nontrivial_of_nonempty Set.nontrivial_of_nonempty
theorem union_def {s₁ s₂ : Set α} : s₁ ∪ s₂ = { a | a ∈ s₁ ∨ a ∈ s₂ } :=
rfl
#align set.union_def Set.union_def
theorem mem_union_left {x : α} {a : Set α} (b : Set α) : x ∈ a → x ∈ a ∪ b :=
Or.inl
#align set.mem_union_left Set.mem_union_left
theorem mem_union_right {x : α} {b : Set α} (a : Set α) : x ∈ b → x ∈ a ∪ b :=
Or.inr
#align set.mem_union_right Set.mem_union_right
theorem mem_or_mem_of_mem_union {x : α} {a b : Set α} (H : x ∈ a ∪ b) : x ∈ a ∨ x ∈ b :=
H
#align set.mem_or_mem_of_mem_union Set.mem_or_mem_of_mem_union
theorem MemUnion.elim {x : α} {a b : Set α} {P : Prop} (H₁ : x ∈ a ∪ b) (H₂ : x ∈ a → P)
(H₃ : x ∈ b → P) : P :=
Or.elim H₁ H₂ H₃
#align set.mem_union.elim Set.MemUnion.elim
@[simp]
theorem mem_union (x : α) (a b : Set α) : x ∈ a ∪ b ↔ x ∈ a ∨ x ∈ b :=
Iff.rfl
#align set.mem_union Set.mem_union
@[simp]
theorem union_self (a : Set α) : a ∪ a = a :=
ext fun _ => or_self_iff
#align set.union_self Set.union_self
@[simp]
theorem union_empty (a : Set α) : a ∪ ∅ = a :=
ext fun _ => or_false_iff _
#align set.union_empty Set.union_empty
@[simp]
theorem empty_union (a : Set α) : ∅ ∪ a = a :=
ext fun _ => false_or_iff _
#align set.empty_union Set.empty_union
theorem union_comm (a b : Set α) : a ∪ b = b ∪ a :=
ext fun _ => or_comm
#align set.union_comm Set.union_comm
theorem union_assoc (a b c : Set α) : a ∪ b ∪ c = a ∪ (b ∪ c) :=
ext fun _ => or_assoc
#align set.union_assoc Set.union_assoc
instance union_isAssoc : Std.Associative (α := Set α) (· ∪ ·) :=
⟨union_assoc⟩
#align set.union_is_assoc Set.union_isAssoc
instance union_isComm : Std.Commutative (α := Set α) (· ∪ ·) :=
⟨union_comm⟩
#align set.union_is_comm Set.union_isComm
theorem union_left_comm (s₁ s₂ s₃ : Set α) : s₁ ∪ (s₂ ∪ s₃) = s₂ ∪ (s₁ ∪ s₃) :=
ext fun _ => or_left_comm
#align set.union_left_comm Set.union_left_comm
theorem union_right_comm (s₁ s₂ s₃ : Set α) : s₁ ∪ s₂ ∪ s₃ = s₁ ∪ s₃ ∪ s₂ :=
ext fun _ => or_right_comm
#align set.union_right_comm Set.union_right_comm
@[simp]
theorem union_eq_left {s t : Set α} : s ∪ t = s ↔ t ⊆ s :=
sup_eq_left
#align set.union_eq_left_iff_subset Set.union_eq_left
@[simp]
theorem union_eq_right {s t : Set α} : s ∪ t = t ↔ s ⊆ t :=
sup_eq_right
#align set.union_eq_right_iff_subset Set.union_eq_right
theorem union_eq_self_of_subset_left {s t : Set α} (h : s ⊆ t) : s ∪ t = t :=
union_eq_right.mpr h
#align set.union_eq_self_of_subset_left Set.union_eq_self_of_subset_left
theorem union_eq_self_of_subset_right {s t : Set α} (h : t ⊆ s) : s ∪ t = s :=
union_eq_left.mpr h
#align set.union_eq_self_of_subset_right Set.union_eq_self_of_subset_right
@[simp]
theorem subset_union_left {s t : Set α} : s ⊆ s ∪ t := fun _ => Or.inl
#align set.subset_union_left Set.subset_union_left
@[simp]
theorem subset_union_right {s t : Set α} : t ⊆ s ∪ t := fun _ => Or.inr
#align set.subset_union_right Set.subset_union_right
theorem union_subset {s t r : Set α} (sr : s ⊆ r) (tr : t ⊆ r) : s ∪ t ⊆ r := fun _ =>
Or.rec (@sr _) (@tr _)
#align set.union_subset Set.union_subset
@[simp]
theorem union_subset_iff {s t u : Set α} : s ∪ t ⊆ u ↔ s ⊆ u ∧ t ⊆ u :=
(forall_congr' fun _ => or_imp).trans forall_and
#align set.union_subset_iff Set.union_subset_iff
@[gcongr]
theorem union_subset_union {s₁ s₂ t₁ t₂ : Set α} (h₁ : s₁ ⊆ s₂) (h₂ : t₁ ⊆ t₂) :
s₁ ∪ t₁ ⊆ s₂ ∪ t₂ := fun _ => Or.imp (@h₁ _) (@h₂ _)
#align set.union_subset_union Set.union_subset_union
@[gcongr]
theorem union_subset_union_left {s₁ s₂ : Set α} (t) (h : s₁ ⊆ s₂) : s₁ ∪ t ⊆ s₂ ∪ t :=
union_subset_union h Subset.rfl
#align set.union_subset_union_left Set.union_subset_union_left
@[gcongr]
theorem union_subset_union_right (s) {t₁ t₂ : Set α} (h : t₁ ⊆ t₂) : s ∪ t₁ ⊆ s ∪ t₂ :=
union_subset_union Subset.rfl h
#align set.union_subset_union_right Set.union_subset_union_right
theorem subset_union_of_subset_left {s t : Set α} (h : s ⊆ t) (u : Set α) : s ⊆ t ∪ u :=
h.trans subset_union_left
#align set.subset_union_of_subset_left Set.subset_union_of_subset_left
theorem subset_union_of_subset_right {s u : Set α} (h : s ⊆ u) (t : Set α) : s ⊆ t ∪ u :=
h.trans subset_union_right
#align set.subset_union_of_subset_right Set.subset_union_of_subset_right
-- Porting note: replaced `⊔` in RHS
theorem union_congr_left (ht : t ⊆ s ∪ u) (hu : u ⊆ s ∪ t) : s ∪ t = s ∪ u :=
sup_congr_left ht hu
#align set.union_congr_left Set.union_congr_left
theorem union_congr_right (hs : s ⊆ t ∪ u) (ht : t ⊆ s ∪ u) : s ∪ u = t ∪ u :=
sup_congr_right hs ht
#align set.union_congr_right Set.union_congr_right
theorem union_eq_union_iff_left : s ∪ t = s ∪ u ↔ t ⊆ s ∪ u ∧ u ⊆ s ∪ t :=
sup_eq_sup_iff_left
#align set.union_eq_union_iff_left Set.union_eq_union_iff_left
theorem union_eq_union_iff_right : s ∪ u = t ∪ u ↔ s ⊆ t ∪ u ∧ t ⊆ s ∪ u :=
sup_eq_sup_iff_right
#align set.union_eq_union_iff_right Set.union_eq_union_iff_right
@[simp]
theorem union_empty_iff {s t : Set α} : s ∪ t = ∅ ↔ s = ∅ ∧ t = ∅ := by
simp only [← subset_empty_iff]
exact union_subset_iff
#align set.union_empty_iff Set.union_empty_iff
@[simp]
theorem union_univ (s : Set α) : s ∪ univ = univ := sup_top_eq _
#align set.union_univ Set.union_univ
@[simp]
theorem univ_union (s : Set α) : univ ∪ s = univ := top_sup_eq _
#align set.univ_union Set.univ_union
theorem inter_def {s₁ s₂ : Set α} : s₁ ∩ s₂ = { a | a ∈ s₁ ∧ a ∈ s₂ } :=
rfl
#align set.inter_def Set.inter_def
@[simp, mfld_simps]
theorem mem_inter_iff (x : α) (a b : Set α) : x ∈ a ∩ b ↔ x ∈ a ∧ x ∈ b :=
Iff.rfl
#align set.mem_inter_iff Set.mem_inter_iff
theorem mem_inter {x : α} {a b : Set α} (ha : x ∈ a) (hb : x ∈ b) : x ∈ a ∩ b :=
⟨ha, hb⟩
#align set.mem_inter Set.mem_inter
theorem mem_of_mem_inter_left {x : α} {a b : Set α} (h : x ∈ a ∩ b) : x ∈ a :=
h.left
#align set.mem_of_mem_inter_left Set.mem_of_mem_inter_left
theorem mem_of_mem_inter_right {x : α} {a b : Set α} (h : x ∈ a ∩ b) : x ∈ b :=
h.right
#align set.mem_of_mem_inter_right Set.mem_of_mem_inter_right
@[simp]
theorem inter_self (a : Set α) : a ∩ a = a :=
ext fun _ => and_self_iff
#align set.inter_self Set.inter_self
@[simp]
theorem inter_empty (a : Set α) : a ∩ ∅ = ∅ :=
ext fun _ => and_false_iff _
#align set.inter_empty Set.inter_empty
@[simp]
theorem empty_inter (a : Set α) : ∅ ∩ a = ∅ :=
ext fun _ => false_and_iff _
#align set.empty_inter Set.empty_inter
theorem inter_comm (a b : Set α) : a ∩ b = b ∩ a :=
ext fun _ => and_comm
#align set.inter_comm Set.inter_comm
theorem inter_assoc (a b c : Set α) : a ∩ b ∩ c = a ∩ (b ∩ c) :=
ext fun _ => and_assoc
#align set.inter_assoc Set.inter_assoc
instance inter_isAssoc : Std.Associative (α := Set α) (· ∩ ·) :=
⟨inter_assoc⟩
#align set.inter_is_assoc Set.inter_isAssoc
instance inter_isComm : Std.Commutative (α := Set α) (· ∩ ·) :=
⟨inter_comm⟩
#align set.inter_is_comm Set.inter_isComm
theorem inter_left_comm (s₁ s₂ s₃ : Set α) : s₁ ∩ (s₂ ∩ s₃) = s₂ ∩ (s₁ ∩ s₃) :=
ext fun _ => and_left_comm
#align set.inter_left_comm Set.inter_left_comm
theorem inter_right_comm (s₁ s₂ s₃ : Set α) : s₁ ∩ s₂ ∩ s₃ = s₁ ∩ s₃ ∩ s₂ :=
ext fun _ => and_right_comm
#align set.inter_right_comm Set.inter_right_comm
@[simp, mfld_simps]
theorem inter_subset_left {s t : Set α} : s ∩ t ⊆ s := fun _ => And.left
#align set.inter_subset_left Set.inter_subset_left
@[simp]
theorem inter_subset_right {s t : Set α} : s ∩ t ⊆ t := fun _ => And.right
#align set.inter_subset_right Set.inter_subset_right
theorem subset_inter {s t r : Set α} (rs : r ⊆ s) (rt : r ⊆ t) : r ⊆ s ∩ t := fun _ h =>
⟨rs h, rt h⟩
#align set.subset_inter Set.subset_inter
@[simp]
theorem subset_inter_iff {s t r : Set α} : r ⊆ s ∩ t ↔ r ⊆ s ∧ r ⊆ t :=
(forall_congr' fun _ => imp_and).trans forall_and
#align set.subset_inter_iff Set.subset_inter_iff
@[simp] lemma inter_eq_left : s ∩ t = s ↔ s ⊆ t := inf_eq_left
#align set.inter_eq_left_iff_subset Set.inter_eq_left
@[simp] lemma inter_eq_right : s ∩ t = t ↔ t ⊆ s := inf_eq_right
#align set.inter_eq_right_iff_subset Set.inter_eq_right
@[simp] lemma left_eq_inter : s = s ∩ t ↔ s ⊆ t := left_eq_inf
@[simp] lemma right_eq_inter : t = s ∩ t ↔ t ⊆ s := right_eq_inf
theorem inter_eq_self_of_subset_left {s t : Set α} : s ⊆ t → s ∩ t = s :=
inter_eq_left.mpr
#align set.inter_eq_self_of_subset_left Set.inter_eq_self_of_subset_left
theorem inter_eq_self_of_subset_right {s t : Set α} : t ⊆ s → s ∩ t = t :=
inter_eq_right.mpr
#align set.inter_eq_self_of_subset_right Set.inter_eq_self_of_subset_right
theorem inter_congr_left (ht : s ∩ u ⊆ t) (hu : s ∩ t ⊆ u) : s ∩ t = s ∩ u :=
inf_congr_left ht hu
#align set.inter_congr_left Set.inter_congr_left
theorem inter_congr_right (hs : t ∩ u ⊆ s) (ht : s ∩ u ⊆ t) : s ∩ u = t ∩ u :=
inf_congr_right hs ht
#align set.inter_congr_right Set.inter_congr_right
theorem inter_eq_inter_iff_left : s ∩ t = s ∩ u ↔ s ∩ u ⊆ t ∧ s ∩ t ⊆ u :=
inf_eq_inf_iff_left
#align set.inter_eq_inter_iff_left Set.inter_eq_inter_iff_left
theorem inter_eq_inter_iff_right : s ∩ u = t ∩ u ↔ t ∩ u ⊆ s ∧ s ∩ u ⊆ t :=
inf_eq_inf_iff_right
#align set.inter_eq_inter_iff_right Set.inter_eq_inter_iff_right
@[simp, mfld_simps]
theorem inter_univ (a : Set α) : a ∩ univ = a := inf_top_eq _
#align set.inter_univ Set.inter_univ
@[simp, mfld_simps]
theorem univ_inter (a : Set α) : univ ∩ a = a := top_inf_eq _
#align set.univ_inter Set.univ_inter
@[gcongr]
theorem inter_subset_inter {s₁ s₂ t₁ t₂ : Set α} (h₁ : s₁ ⊆ t₁) (h₂ : s₂ ⊆ t₂) :
s₁ ∩ s₂ ⊆ t₁ ∩ t₂ := fun _ => And.imp (@h₁ _) (@h₂ _)
#align set.inter_subset_inter Set.inter_subset_inter
@[gcongr]
theorem inter_subset_inter_left {s t : Set α} (u : Set α) (H : s ⊆ t) : s ∩ u ⊆ t ∩ u :=
inter_subset_inter H Subset.rfl
#align set.inter_subset_inter_left Set.inter_subset_inter_left
@[gcongr]
theorem inter_subset_inter_right {s t : Set α} (u : Set α) (H : s ⊆ t) : u ∩ s ⊆ u ∩ t :=
inter_subset_inter Subset.rfl H
#align set.inter_subset_inter_right Set.inter_subset_inter_right
theorem union_inter_cancel_left {s t : Set α} : (s ∪ t) ∩ s = s :=
inter_eq_self_of_subset_right subset_union_left
#align set.union_inter_cancel_left Set.union_inter_cancel_left
theorem union_inter_cancel_right {s t : Set α} : (s ∪ t) ∩ t = t :=
inter_eq_self_of_subset_right subset_union_right
#align set.union_inter_cancel_right Set.union_inter_cancel_right
theorem inter_setOf_eq_sep (s : Set α) (p : α → Prop) : s ∩ {a | p a} = {a ∈ s | p a} :=
rfl
#align set.inter_set_of_eq_sep Set.inter_setOf_eq_sep
theorem setOf_inter_eq_sep (p : α → Prop) (s : Set α) : {a | p a} ∩ s = {a ∈ s | p a} :=
inter_comm _ _
#align set.set_of_inter_eq_sep Set.setOf_inter_eq_sep
theorem inter_union_distrib_left (s t u : Set α) : s ∩ (t ∪ u) = s ∩ t ∪ s ∩ u :=
inf_sup_left _ _ _
#align set.inter_distrib_left Set.inter_union_distrib_left
theorem union_inter_distrib_right (s t u : Set α) : (s ∪ t) ∩ u = s ∩ u ∪ t ∩ u :=
inf_sup_right _ _ _
#align set.inter_distrib_right Set.union_inter_distrib_right
theorem union_inter_distrib_left (s t u : Set α) : s ∪ t ∩ u = (s ∪ t) ∩ (s ∪ u) :=
sup_inf_left _ _ _
#align set.union_distrib_left Set.union_inter_distrib_left
theorem inter_union_distrib_right (s t u : Set α) : s ∩ t ∪ u = (s ∪ u) ∩ (t ∪ u) :=
sup_inf_right _ _ _
#align set.union_distrib_right Set.inter_union_distrib_right
-- 2024-03-22
@[deprecated] alias inter_distrib_left := inter_union_distrib_left
@[deprecated] alias inter_distrib_right := union_inter_distrib_right
@[deprecated] alias union_distrib_left := union_inter_distrib_left
@[deprecated] alias union_distrib_right := inter_union_distrib_right
theorem union_union_distrib_left (s t u : Set α) : s ∪ (t ∪ u) = s ∪ t ∪ (s ∪ u) :=
sup_sup_distrib_left _ _ _
#align set.union_union_distrib_left Set.union_union_distrib_left
theorem union_union_distrib_right (s t u : Set α) : s ∪ t ∪ u = s ∪ u ∪ (t ∪ u) :=
sup_sup_distrib_right _ _ _
#align set.union_union_distrib_right Set.union_union_distrib_right
theorem inter_inter_distrib_left (s t u : Set α) : s ∩ (t ∩ u) = s ∩ t ∩ (s ∩ u) :=
inf_inf_distrib_left _ _ _
#align set.inter_inter_distrib_left Set.inter_inter_distrib_left
theorem inter_inter_distrib_right (s t u : Set α) : s ∩ t ∩ u = s ∩ u ∩ (t ∩ u) :=
inf_inf_distrib_right _ _ _
#align set.inter_inter_distrib_right Set.inter_inter_distrib_right
theorem union_union_union_comm (s t u v : Set α) : s ∪ t ∪ (u ∪ v) = s ∪ u ∪ (t ∪ v) :=
sup_sup_sup_comm _ _ _ _
#align set.union_union_union_comm Set.union_union_union_comm
theorem inter_inter_inter_comm (s t u v : Set α) : s ∩ t ∩ (u ∩ v) = s ∩ u ∩ (t ∩ v) :=
inf_inf_inf_comm _ _ _ _
#align set.inter_inter_inter_comm Set.inter_inter_inter_comm
theorem insert_def (x : α) (s : Set α) : insert x s = { y | y = x ∨ y ∈ s } :=
rfl
#align set.insert_def Set.insert_def
@[simp]
theorem subset_insert (x : α) (s : Set α) : s ⊆ insert x s := fun _ => Or.inr
#align set.subset_insert Set.subset_insert
theorem mem_insert (x : α) (s : Set α) : x ∈ insert x s :=
Or.inl rfl
#align set.mem_insert Set.mem_insert
theorem mem_insert_of_mem {x : α} {s : Set α} (y : α) : x ∈ s → x ∈ insert y s :=
Or.inr
#align set.mem_insert_of_mem Set.mem_insert_of_mem
theorem eq_or_mem_of_mem_insert {x a : α} {s : Set α} : x ∈ insert a s → x = a ∨ x ∈ s :=
id
#align set.eq_or_mem_of_mem_insert Set.eq_or_mem_of_mem_insert
theorem mem_of_mem_insert_of_ne : b ∈ insert a s → b ≠ a → b ∈ s :=
Or.resolve_left
#align set.mem_of_mem_insert_of_ne Set.mem_of_mem_insert_of_ne
theorem eq_of_not_mem_of_mem_insert : b ∈ insert a s → b ∉ s → b = a :=
Or.resolve_right
#align set.eq_of_not_mem_of_mem_insert Set.eq_of_not_mem_of_mem_insert
@[simp]
theorem mem_insert_iff {x a : α} {s : Set α} : x ∈ insert a s ↔ x = a ∨ x ∈ s :=
Iff.rfl
#align set.mem_insert_iff Set.mem_insert_iff
@[simp]
theorem insert_eq_of_mem {a : α} {s : Set α} (h : a ∈ s) : insert a s = s :=
ext fun _ => or_iff_right_of_imp fun e => e.symm ▸ h
#align set.insert_eq_of_mem Set.insert_eq_of_mem
theorem ne_insert_of_not_mem {s : Set α} (t : Set α) {a : α} : a ∉ s → s ≠ insert a t :=
mt fun e => e.symm ▸ mem_insert _ _
#align set.ne_insert_of_not_mem Set.ne_insert_of_not_mem
@[simp]
theorem insert_eq_self : insert a s = s ↔ a ∈ s :=
⟨fun h => h ▸ mem_insert _ _, insert_eq_of_mem⟩
#align set.insert_eq_self Set.insert_eq_self
theorem insert_ne_self : insert a s ≠ s ↔ a ∉ s :=
insert_eq_self.not
#align set.insert_ne_self Set.insert_ne_self
theorem insert_subset_iff : insert a s ⊆ t ↔ a ∈ t ∧ s ⊆ t := by
simp only [subset_def, mem_insert_iff, or_imp, forall_and, forall_eq]
#align set.insert_subset Set.insert_subset_iff
theorem insert_subset (ha : a ∈ t) (hs : s ⊆ t) : insert a s ⊆ t :=
insert_subset_iff.mpr ⟨ha, hs⟩
theorem insert_subset_insert (h : s ⊆ t) : insert a s ⊆ insert a t := fun _ => Or.imp_right (@h _)
#align set.insert_subset_insert Set.insert_subset_insert
@[simp] theorem insert_subset_insert_iff (ha : a ∉ s) : insert a s ⊆ insert a t ↔ s ⊆ t := by
refine ⟨fun h x hx => ?_, insert_subset_insert⟩
rcases h (subset_insert _ _ hx) with (rfl | hxt)
exacts [(ha hx).elim, hxt]
#align set.insert_subset_insert_iff Set.insert_subset_insert_iff
theorem subset_insert_iff_of_not_mem (ha : a ∉ s) : s ⊆ insert a t ↔ s ⊆ t :=
forall₂_congr fun _ hb => or_iff_right <| ne_of_mem_of_not_mem hb ha
#align set.subset_insert_iff_of_not_mem Set.subset_insert_iff_of_not_mem
theorem ssubset_iff_insert {s t : Set α} : s ⊂ t ↔ ∃ a ∉ s, insert a s ⊆ t := by
simp only [insert_subset_iff, exists_and_right, ssubset_def, not_subset]
aesop
#align set.ssubset_iff_insert Set.ssubset_iff_insert
theorem ssubset_insert {s : Set α} {a : α} (h : a ∉ s) : s ⊂ insert a s :=
ssubset_iff_insert.2 ⟨a, h, Subset.rfl⟩
#align set.ssubset_insert Set.ssubset_insert
theorem insert_comm (a b : α) (s : Set α) : insert a (insert b s) = insert b (insert a s) :=
ext fun _ => or_left_comm
#align set.insert_comm Set.insert_comm
-- Porting note (#10618): removing `simp` attribute because `simp` can prove it
theorem insert_idem (a : α) (s : Set α) : insert a (insert a s) = insert a s :=
insert_eq_of_mem <| mem_insert _ _
#align set.insert_idem Set.insert_idem
theorem insert_union : insert a s ∪ t = insert a (s ∪ t) :=
ext fun _ => or_assoc
#align set.insert_union Set.insert_union
@[simp]
theorem union_insert : s ∪ insert a t = insert a (s ∪ t) :=
ext fun _ => or_left_comm
#align set.union_insert Set.union_insert
@[simp]
theorem insert_nonempty (a : α) (s : Set α) : (insert a s).Nonempty :=
⟨a, mem_insert a s⟩
#align set.insert_nonempty Set.insert_nonempty
instance (a : α) (s : Set α) : Nonempty (insert a s : Set α) :=
(insert_nonempty a s).to_subtype
theorem insert_inter_distrib (a : α) (s t : Set α) : insert a (s ∩ t) = insert a s ∩ insert a t :=
ext fun _ => or_and_left
#align set.insert_inter_distrib Set.insert_inter_distrib
theorem insert_union_distrib (a : α) (s t : Set α) : insert a (s ∪ t) = insert a s ∪ insert a t :=
ext fun _ => or_or_distrib_left
#align set.insert_union_distrib Set.insert_union_distrib
theorem insert_inj (ha : a ∉ s) : insert a s = insert b s ↔ a = b :=
⟨fun h => eq_of_not_mem_of_mem_insert (h.subst <| mem_insert a s) ha,
congr_arg (fun x => insert x s)⟩
#align set.insert_inj Set.insert_inj
-- useful in proofs by induction
theorem forall_of_forall_insert {P : α → Prop} {a : α} {s : Set α} (H : ∀ x, x ∈ insert a s → P x)
(x) (h : x ∈ s) : P x :=
H _ (Or.inr h)
#align set.forall_of_forall_insert Set.forall_of_forall_insert
theorem forall_insert_of_forall {P : α → Prop} {a : α} {s : Set α} (H : ∀ x, x ∈ s → P x) (ha : P a)
(x) (h : x ∈ insert a s) : P x :=
h.elim (fun e => e.symm ▸ ha) (H _)
#align set.forall_insert_of_forall Set.forall_insert_of_forall
theorem exists_mem_insert {P : α → Prop} {a : α} {s : Set α} :
(∃ x ∈ insert a s, P x) ↔ (P a ∨ ∃ x ∈ s, P x) := by
simp [mem_insert_iff, or_and_right, exists_and_left, exists_or]
#align set.bex_insert_iff Set.exists_mem_insert
@[deprecated (since := "2024-03-23")] alias bex_insert_iff := exists_mem_insert
theorem forall_mem_insert {P : α → Prop} {a : α} {s : Set α} :
(∀ x ∈ insert a s, P x) ↔ P a ∧ ∀ x ∈ s, P x :=
forall₂_or_left.trans <| and_congr_left' forall_eq
#align set.ball_insert_iff Set.forall_mem_insert
@[deprecated (since := "2024-03-23")] alias ball_insert_iff := forall_mem_insert
instance : LawfulSingleton α (Set α) :=
⟨fun x => Set.ext fun a => by
simp only [mem_empty_iff_false, mem_insert_iff, or_false]
exact Iff.rfl⟩
theorem singleton_def (a : α) : ({a} : Set α) = insert a ∅ :=
(insert_emptyc_eq a).symm
#align set.singleton_def Set.singleton_def
@[simp]
theorem mem_singleton_iff {a b : α} : a ∈ ({b} : Set α) ↔ a = b :=
Iff.rfl
#align set.mem_singleton_iff Set.mem_singleton_iff
@[simp]
theorem setOf_eq_eq_singleton {a : α} : { n | n = a } = {a} :=
rfl
#align set.set_of_eq_eq_singleton Set.setOf_eq_eq_singleton
@[simp]
theorem setOf_eq_eq_singleton' {a : α} : { x | a = x } = {a} :=
ext fun _ => eq_comm
#align set.set_of_eq_eq_singleton' Set.setOf_eq_eq_singleton'
-- TODO: again, annotation needed
--Porting note (#11119): removed `simp` attribute
theorem mem_singleton (a : α) : a ∈ ({a} : Set α) :=
@rfl _ _
#align set.mem_singleton Set.mem_singleton
theorem eq_of_mem_singleton {x y : α} (h : x ∈ ({y} : Set α)) : x = y :=
h
#align set.eq_of_mem_singleton Set.eq_of_mem_singleton
@[simp]
theorem singleton_eq_singleton_iff {x y : α} : {x} = ({y} : Set α) ↔ x = y :=
ext_iff.trans eq_iff_eq_cancel_left
#align set.singleton_eq_singleton_iff Set.singleton_eq_singleton_iff
theorem singleton_injective : Injective (singleton : α → Set α) := fun _ _ =>
singleton_eq_singleton_iff.mp
#align set.singleton_injective Set.singleton_injective
theorem mem_singleton_of_eq {x y : α} (H : x = y) : x ∈ ({y} : Set α) :=
H
#align set.mem_singleton_of_eq Set.mem_singleton_of_eq
theorem insert_eq (x : α) (s : Set α) : insert x s = ({x} : Set α) ∪ s :=
rfl
#align set.insert_eq Set.insert_eq
@[simp]
theorem singleton_nonempty (a : α) : ({a} : Set α).Nonempty :=
⟨a, rfl⟩
#align set.singleton_nonempty Set.singleton_nonempty
@[simp]
theorem singleton_ne_empty (a : α) : ({a} : Set α) ≠ ∅ :=
(singleton_nonempty _).ne_empty
#align set.singleton_ne_empty Set.singleton_ne_empty
--Porting note (#10618): removed `simp` attribute because `simp` can prove it
theorem empty_ssubset_singleton : (∅ : Set α) ⊂ {a} :=
(singleton_nonempty _).empty_ssubset
#align set.empty_ssubset_singleton Set.empty_ssubset_singleton
@[simp]
theorem singleton_subset_iff {a : α} {s : Set α} : {a} ⊆ s ↔ a ∈ s :=
forall_eq
#align set.singleton_subset_iff Set.singleton_subset_iff
theorem singleton_subset_singleton : ({a} : Set α) ⊆ {b} ↔ a = b := by simp
#align set.singleton_subset_singleton Set.singleton_subset_singleton
theorem set_compr_eq_eq_singleton {a : α} : { b | b = a } = {a} :=
rfl
#align set.set_compr_eq_eq_singleton Set.set_compr_eq_eq_singleton
@[simp]
theorem singleton_union : {a} ∪ s = insert a s :=
rfl
#align set.singleton_union Set.singleton_union
@[simp]
theorem union_singleton : s ∪ {a} = insert a s :=
union_comm _ _
#align set.union_singleton Set.union_singleton
@[simp]
theorem singleton_inter_nonempty : ({a} ∩ s).Nonempty ↔ a ∈ s := by
simp only [Set.Nonempty, mem_inter_iff, mem_singleton_iff, exists_eq_left]
#align set.singleton_inter_nonempty Set.singleton_inter_nonempty
@[simp]
theorem inter_singleton_nonempty : (s ∩ {a}).Nonempty ↔ a ∈ s := by
rw [inter_comm, singleton_inter_nonempty]
#align set.inter_singleton_nonempty Set.inter_singleton_nonempty
@[simp]
theorem singleton_inter_eq_empty : {a} ∩ s = ∅ ↔ a ∉ s :=
not_nonempty_iff_eq_empty.symm.trans singleton_inter_nonempty.not
#align set.singleton_inter_eq_empty Set.singleton_inter_eq_empty
@[simp]
theorem inter_singleton_eq_empty : s ∩ {a} = ∅ ↔ a ∉ s := by
rw [inter_comm, singleton_inter_eq_empty]
#align set.inter_singleton_eq_empty Set.inter_singleton_eq_empty
theorem nmem_singleton_empty {s : Set α} : s ∉ ({∅} : Set (Set α)) ↔ s.Nonempty :=
nonempty_iff_ne_empty.symm
#align set.nmem_singleton_empty Set.nmem_singleton_empty
instance uniqueSingleton (a : α) : Unique (↥({a} : Set α)) :=
⟨⟨⟨a, mem_singleton a⟩⟩, fun ⟨_, h⟩ => Subtype.eq h⟩
#align set.unique_singleton Set.uniqueSingleton
theorem eq_singleton_iff_unique_mem : s = {a} ↔ a ∈ s ∧ ∀ x ∈ s, x = a :=
Subset.antisymm_iff.trans <| and_comm.trans <| and_congr_left' singleton_subset_iff
#align set.eq_singleton_iff_unique_mem Set.eq_singleton_iff_unique_mem
theorem eq_singleton_iff_nonempty_unique_mem : s = {a} ↔ s.Nonempty ∧ ∀ x ∈ s, x = a :=
eq_singleton_iff_unique_mem.trans <|
and_congr_left fun H => ⟨fun h' => ⟨_, h'⟩, fun ⟨x, h⟩ => H x h ▸ h⟩
#align set.eq_singleton_iff_nonempty_unique_mem Set.eq_singleton_iff_nonempty_unique_mem
set_option backward.synthInstance.canonInstances false in -- See https://github.com/leanprover-community/mathlib4/issues/12532
-- while `simp` is capable of proving this, it is not capable of turning the LHS into the RHS.
@[simp]
theorem default_coe_singleton (x : α) : (default : ({x} : Set α)) = ⟨x, rfl⟩ :=
rfl
#align set.default_coe_singleton Set.default_coe_singleton
@[simp]
theorem subset_singleton_iff {α : Type*} {s : Set α} {x : α} : s ⊆ {x} ↔ ∀ y ∈ s, y = x :=
Iff.rfl
#align set.subset_singleton_iff Set.subset_singleton_iff
theorem subset_singleton_iff_eq {s : Set α} {x : α} : s ⊆ {x} ↔ s = ∅ ∨ s = {x} := by
obtain rfl | hs := s.eq_empty_or_nonempty
· exact ⟨fun _ => Or.inl rfl, fun _ => empty_subset _⟩
· simp [eq_singleton_iff_nonempty_unique_mem, hs, hs.ne_empty]
#align set.subset_singleton_iff_eq Set.subset_singleton_iff_eq
theorem Nonempty.subset_singleton_iff (h : s.Nonempty) : s ⊆ {a} ↔ s = {a} :=
subset_singleton_iff_eq.trans <| or_iff_right h.ne_empty
#align set.nonempty.subset_singleton_iff Set.Nonempty.subset_singleton_iff
theorem ssubset_singleton_iff {s : Set α} {x : α} : s ⊂ {x} ↔ s = ∅ := by
rw [ssubset_iff_subset_ne, subset_singleton_iff_eq, or_and_right, and_not_self_iff, or_false_iff,
and_iff_left_iff_imp]
exact fun h => h ▸ (singleton_ne_empty _).symm
#align set.ssubset_singleton_iff Set.ssubset_singleton_iff
theorem eq_empty_of_ssubset_singleton {s : Set α} {x : α} (hs : s ⊂ {x}) : s = ∅ :=
ssubset_singleton_iff.1 hs
#align set.eq_empty_of_ssubset_singleton Set.eq_empty_of_ssubset_singleton
theorem eq_of_nonempty_of_subsingleton {α} [Subsingleton α] (s t : Set α) [Nonempty s]
[Nonempty t] : s = t :=
nonempty_of_nonempty_subtype.eq_univ.trans nonempty_of_nonempty_subtype.eq_univ.symm
theorem eq_of_nonempty_of_subsingleton' {α} [Subsingleton α] {s : Set α} (t : Set α)
(hs : s.Nonempty) [Nonempty t] : s = t :=
have := hs.to_subtype; eq_of_nonempty_of_subsingleton s t
set_option backward.synthInstance.canonInstances false in -- See https://github.com/leanprover-community/mathlib4/issues/12532
theorem Nonempty.eq_zero [Subsingleton α] [Zero α] {s : Set α} (h : s.Nonempty) :
s = {0} := eq_of_nonempty_of_subsingleton' {0} h
set_option backward.synthInstance.canonInstances false in -- See https://github.com/leanprover-community/mathlib4/issues/12532
theorem Nonempty.eq_one [Subsingleton α] [One α] {s : Set α} (h : s.Nonempty) :
s = {1} := eq_of_nonempty_of_subsingleton' {1} h
protected theorem disjoint_iff : Disjoint s t ↔ s ∩ t ⊆ ∅ :=
disjoint_iff_inf_le
#align set.disjoint_iff Set.disjoint_iff
theorem disjoint_iff_inter_eq_empty : Disjoint s t ↔ s ∩ t = ∅ :=
disjoint_iff
#align set.disjoint_iff_inter_eq_empty Set.disjoint_iff_inter_eq_empty
theorem _root_.Disjoint.inter_eq : Disjoint s t → s ∩ t = ∅ :=
Disjoint.eq_bot
#align disjoint.inter_eq Disjoint.inter_eq
theorem disjoint_left : Disjoint s t ↔ ∀ ⦃a⦄, a ∈ s → a ∉ t :=
disjoint_iff_inf_le.trans <| forall_congr' fun _ => not_and
#align set.disjoint_left Set.disjoint_left
theorem disjoint_right : Disjoint s t ↔ ∀ ⦃a⦄, a ∈ t → a ∉ s := by rw [disjoint_comm, disjoint_left]
#align set.disjoint_right Set.disjoint_right
lemma not_disjoint_iff : ¬Disjoint s t ↔ ∃ x, x ∈ s ∧ x ∈ t :=
Set.disjoint_iff.not.trans <| not_forall.trans <| exists_congr fun _ ↦ not_not
#align set.not_disjoint_iff Set.not_disjoint_iff
lemma not_disjoint_iff_nonempty_inter : ¬ Disjoint s t ↔ (s ∩ t).Nonempty := not_disjoint_iff
#align set.not_disjoint_iff_nonempty_inter Set.not_disjoint_iff_nonempty_inter
alias ⟨_, Nonempty.not_disjoint⟩ := not_disjoint_iff_nonempty_inter
#align set.nonempty.not_disjoint Set.Nonempty.not_disjoint
lemma disjoint_or_nonempty_inter (s t : Set α) : Disjoint s t ∨ (s ∩ t).Nonempty :=
(em _).imp_right not_disjoint_iff_nonempty_inter.1
#align set.disjoint_or_nonempty_inter Set.disjoint_or_nonempty_inter
lemma disjoint_iff_forall_ne : Disjoint s t ↔ ∀ ⦃a⦄, a ∈ s → ∀ ⦃b⦄, b ∈ t → a ≠ b := by
simp only [Ne, disjoint_left, @imp_not_comm _ (_ = _), forall_eq']
#align set.disjoint_iff_forall_ne Set.disjoint_iff_forall_ne
alias ⟨_root_.Disjoint.ne_of_mem, _⟩ := disjoint_iff_forall_ne
#align disjoint.ne_of_mem Disjoint.ne_of_mem
lemma disjoint_of_subset_left (h : s ⊆ u) (d : Disjoint u t) : Disjoint s t := d.mono_left h
#align set.disjoint_of_subset_left Set.disjoint_of_subset_left
lemma disjoint_of_subset_right (h : t ⊆ u) (d : Disjoint s u) : Disjoint s t := d.mono_right h
#align set.disjoint_of_subset_right Set.disjoint_of_subset_right
lemma disjoint_of_subset (hs : s₁ ⊆ s₂) (ht : t₁ ⊆ t₂) (h : Disjoint s₂ t₂) : Disjoint s₁ t₁ :=
h.mono hs ht
#align set.disjoint_of_subset Set.disjoint_of_subset
@[simp]
lemma disjoint_union_left : Disjoint (s ∪ t) u ↔ Disjoint s u ∧ Disjoint t u := disjoint_sup_left
#align set.disjoint_union_left Set.disjoint_union_left
@[simp]
lemma disjoint_union_right : Disjoint s (t ∪ u) ↔ Disjoint s t ∧ Disjoint s u := disjoint_sup_right
#align set.disjoint_union_right Set.disjoint_union_right
@[simp] lemma disjoint_empty (s : Set α) : Disjoint s ∅ := disjoint_bot_right
#align set.disjoint_empty Set.disjoint_empty
@[simp] lemma empty_disjoint (s : Set α) : Disjoint ∅ s := disjoint_bot_left
#align set.empty_disjoint Set.empty_disjoint
@[simp] lemma univ_disjoint : Disjoint univ s ↔ s = ∅ := top_disjoint
#align set.univ_disjoint Set.univ_disjoint
@[simp] lemma disjoint_univ : Disjoint s univ ↔ s = ∅ := disjoint_top
#align set.disjoint_univ Set.disjoint_univ
lemma disjoint_sdiff_left : Disjoint (t \ s) s := disjoint_sdiff_self_left
#align set.disjoint_sdiff_left Set.disjoint_sdiff_left
lemma disjoint_sdiff_right : Disjoint s (t \ s) := disjoint_sdiff_self_right
#align set.disjoint_sdiff_right Set.disjoint_sdiff_right
-- TODO: prove this in terms of a lattice lemma
theorem disjoint_sdiff_inter : Disjoint (s \ t) (s ∩ t) :=
disjoint_of_subset_right inter_subset_right disjoint_sdiff_left
#align set.disjoint_sdiff_inter Set.disjoint_sdiff_inter
theorem diff_union_diff_cancel (hts : t ⊆ s) (hut : u ⊆ t) : s \ t ∪ t \ u = s \ u :=
sdiff_sup_sdiff_cancel hts hut
#align set.diff_union_diff_cancel Set.diff_union_diff_cancel
theorem diff_diff_eq_sdiff_union (h : u ⊆ s) : s \ (t \ u) = s \ t ∪ u := sdiff_sdiff_eq_sdiff_sup h
#align set.diff_diff_eq_sdiff_union Set.diff_diff_eq_sdiff_union
@[simp default+1]
lemma disjoint_singleton_left : Disjoint {a} s ↔ a ∉ s := by simp [Set.disjoint_iff, subset_def]
#align set.disjoint_singleton_left Set.disjoint_singleton_left
@[simp]
lemma disjoint_singleton_right : Disjoint s {a} ↔ a ∉ s :=
disjoint_comm.trans disjoint_singleton_left
#align set.disjoint_singleton_right Set.disjoint_singleton_right
lemma disjoint_singleton : Disjoint ({a} : Set α) {b} ↔ a ≠ b := by
simp
#align set.disjoint_singleton Set.disjoint_singleton
lemma subset_diff : s ⊆ t \ u ↔ s ⊆ t ∧ Disjoint s u := le_iff_subset.symm.trans le_sdiff
#align set.subset_diff Set.subset_diff
lemma ssubset_iff_sdiff_singleton : s ⊂ t ↔ ∃ a ∈ t, s ⊆ t \ {a} := by
simp [ssubset_iff_insert, subset_diff, insert_subset_iff]; aesop
theorem inter_diff_distrib_left (s t u : Set α) : s ∩ (t \ u) = (s ∩ t) \ (s ∩ u) :=
inf_sdiff_distrib_left _ _ _
#align set.inter_diff_distrib_left Set.inter_diff_distrib_left
theorem inter_diff_distrib_right (s t u : Set α) : s \ t ∩ u = (s ∩ u) \ (t ∩ u) :=
inf_sdiff_distrib_right _ _ _
#align set.inter_diff_distrib_right Set.inter_diff_distrib_right
theorem compl_def (s : Set α) : sᶜ = { x | x ∉ s } :=
rfl
#align set.compl_def Set.compl_def
theorem mem_compl {s : Set α} {x : α} (h : x ∉ s) : x ∈ sᶜ :=
h
#align set.mem_compl Set.mem_compl
theorem compl_setOf {α} (p : α → Prop) : { a | p a }ᶜ = { a | ¬p a } :=
rfl
#align set.compl_set_of Set.compl_setOf
theorem not_mem_of_mem_compl {s : Set α} {x : α} (h : x ∈ sᶜ) : x ∉ s :=
h
#align set.not_mem_of_mem_compl Set.not_mem_of_mem_compl
theorem not_mem_compl_iff {x : α} : x ∉ sᶜ ↔ x ∈ s :=
not_not
#align set.not_mem_compl_iff Set.not_mem_compl_iff
@[simp]
theorem inter_compl_self (s : Set α) : s ∩ sᶜ = ∅ :=
inf_compl_eq_bot
#align set.inter_compl_self Set.inter_compl_self
@[simp]
theorem compl_inter_self (s : Set α) : sᶜ ∩ s = ∅ :=
compl_inf_eq_bot
#align set.compl_inter_self Set.compl_inter_self
@[simp]
theorem compl_empty : (∅ : Set α)ᶜ = univ :=
compl_bot
#align set.compl_empty Set.compl_empty
@[simp]
theorem compl_union (s t : Set α) : (s ∪ t)ᶜ = sᶜ ∩ tᶜ :=
compl_sup
#align set.compl_union Set.compl_union
theorem compl_inter (s t : Set α) : (s ∩ t)ᶜ = sᶜ ∪ tᶜ :=
compl_inf
#align set.compl_inter Set.compl_inter
@[simp]
theorem compl_univ : (univ : Set α)ᶜ = ∅ :=
compl_top
#align set.compl_univ Set.compl_univ
@[simp]
theorem compl_empty_iff {s : Set α} : sᶜ = ∅ ↔ s = univ :=
compl_eq_bot
#align set.compl_empty_iff Set.compl_empty_iff
@[simp]
theorem compl_univ_iff {s : Set α} : sᶜ = univ ↔ s = ∅ :=
compl_eq_top
#align set.compl_univ_iff Set.compl_univ_iff
theorem compl_ne_univ : sᶜ ≠ univ ↔ s.Nonempty :=
compl_univ_iff.not.trans nonempty_iff_ne_empty.symm
#align set.compl_ne_univ Set.compl_ne_univ
theorem nonempty_compl : sᶜ.Nonempty ↔ s ≠ univ :=
(ne_univ_iff_exists_not_mem s).symm
#align set.nonempty_compl Set.nonempty_compl
@[simp] lemma nonempty_compl_of_nontrivial [Nontrivial α] (x : α) : Set.Nonempty {x}ᶜ := by
obtain ⟨y, hy⟩ := exists_ne x
exact ⟨y, by simp [hy]⟩
theorem mem_compl_singleton_iff {a x : α} : x ∈ ({a} : Set α)ᶜ ↔ x ≠ a :=
Iff.rfl
#align set.mem_compl_singleton_iff Set.mem_compl_singleton_iff
theorem compl_singleton_eq (a : α) : ({a} : Set α)ᶜ = { x | x ≠ a } :=
rfl
#align set.compl_singleton_eq Set.compl_singleton_eq
@[simp]
theorem compl_ne_eq_singleton (a : α) : ({ x | x ≠ a } : Set α)ᶜ = {a} :=
compl_compl _
#align set.compl_ne_eq_singleton Set.compl_ne_eq_singleton
theorem union_eq_compl_compl_inter_compl (s t : Set α) : s ∪ t = (sᶜ ∩ tᶜ)ᶜ :=
ext fun _ => or_iff_not_and_not
#align set.union_eq_compl_compl_inter_compl Set.union_eq_compl_compl_inter_compl
theorem inter_eq_compl_compl_union_compl (s t : Set α) : s ∩ t = (sᶜ ∪ tᶜ)ᶜ :=
ext fun _ => and_iff_not_or_not
#align set.inter_eq_compl_compl_union_compl Set.inter_eq_compl_compl_union_compl
@[simp]
theorem union_compl_self (s : Set α) : s ∪ sᶜ = univ :=
eq_univ_iff_forall.2 fun _ => em _
#align set.union_compl_self Set.union_compl_self
@[simp]
theorem compl_union_self (s : Set α) : sᶜ ∪ s = univ := by rw [union_comm, union_compl_self]
#align set.compl_union_self Set.compl_union_self
theorem compl_subset_comm : sᶜ ⊆ t ↔ tᶜ ⊆ s :=
@compl_le_iff_compl_le _ s _ _
#align set.compl_subset_comm Set.compl_subset_comm
theorem subset_compl_comm : s ⊆ tᶜ ↔ t ⊆ sᶜ :=
@le_compl_iff_le_compl _ _ _ t
#align set.subset_compl_comm Set.subset_compl_comm
@[simp]
theorem compl_subset_compl : sᶜ ⊆ tᶜ ↔ t ⊆ s :=
@compl_le_compl_iff_le (Set α) _ _ _
#align set.compl_subset_compl Set.compl_subset_compl
@[gcongr] theorem compl_subset_compl_of_subset (h : t ⊆ s) : sᶜ ⊆ tᶜ := compl_subset_compl.2 h
theorem subset_compl_iff_disjoint_left : s ⊆ tᶜ ↔ Disjoint t s :=
@le_compl_iff_disjoint_left (Set α) _ _ _
#align set.subset_compl_iff_disjoint_left Set.subset_compl_iff_disjoint_left
theorem subset_compl_iff_disjoint_right : s ⊆ tᶜ ↔ Disjoint s t :=
@le_compl_iff_disjoint_right (Set α) _ _ _
#align set.subset_compl_iff_disjoint_right Set.subset_compl_iff_disjoint_right
theorem disjoint_compl_left_iff_subset : Disjoint sᶜ t ↔ t ⊆ s :=
disjoint_compl_left_iff
#align set.disjoint_compl_left_iff_subset Set.disjoint_compl_left_iff_subset
theorem disjoint_compl_right_iff_subset : Disjoint s tᶜ ↔ s ⊆ t :=
disjoint_compl_right_iff
#align set.disjoint_compl_right_iff_subset Set.disjoint_compl_right_iff_subset
alias ⟨_, _root_.Disjoint.subset_compl_right⟩ := subset_compl_iff_disjoint_right
#align disjoint.subset_compl_right Disjoint.subset_compl_right
alias ⟨_, _root_.Disjoint.subset_compl_left⟩ := subset_compl_iff_disjoint_left
#align disjoint.subset_compl_left Disjoint.subset_compl_left
alias ⟨_, _root_.HasSubset.Subset.disjoint_compl_left⟩ := disjoint_compl_left_iff_subset
#align has_subset.subset.disjoint_compl_left HasSubset.Subset.disjoint_compl_left
alias ⟨_, _root_.HasSubset.Subset.disjoint_compl_right⟩ := disjoint_compl_right_iff_subset
#align has_subset.subset.disjoint_compl_right HasSubset.Subset.disjoint_compl_right
theorem subset_union_compl_iff_inter_subset {s t u : Set α} : s ⊆ t ∪ uᶜ ↔ s ∩ u ⊆ t :=
(@isCompl_compl _ u _).le_sup_right_iff_inf_left_le
#align set.subset_union_compl_iff_inter_subset Set.subset_union_compl_iff_inter_subset
theorem compl_subset_iff_union {s t : Set α} : sᶜ ⊆ t ↔ s ∪ t = univ :=
Iff.symm <| eq_univ_iff_forall.trans <| forall_congr' fun _ => or_iff_not_imp_left
#align set.compl_subset_iff_union Set.compl_subset_iff_union
@[simp]
theorem subset_compl_singleton_iff {a : α} {s : Set α} : s ⊆ {a}ᶜ ↔ a ∉ s :=
subset_compl_comm.trans singleton_subset_iff
#align set.subset_compl_singleton_iff Set.subset_compl_singleton_iff
theorem inter_subset (a b c : Set α) : a ∩ b ⊆ c ↔ a ⊆ bᶜ ∪ c :=
forall_congr' fun _ => and_imp.trans <| imp_congr_right fun _ => imp_iff_not_or
#align set.inter_subset Set.inter_subset
theorem inter_compl_nonempty_iff {s t : Set α} : (s ∩ tᶜ).Nonempty ↔ ¬s ⊆ t :=
(not_subset.trans <| exists_congr fun x => by simp [mem_compl]).symm
#align set.inter_compl_nonempty_iff Set.inter_compl_nonempty_iff
theorem not_mem_diff_of_mem {s t : Set α} {x : α} (hx : x ∈ t) : x ∉ s \ t := fun h => h.2 hx
#align set.not_mem_diff_of_mem Set.not_mem_diff_of_mem
theorem mem_of_mem_diff {s t : Set α} {x : α} (h : x ∈ s \ t) : x ∈ s :=
h.left
#align set.mem_of_mem_diff Set.mem_of_mem_diff
theorem not_mem_of_mem_diff {s t : Set α} {x : α} (h : x ∈ s \ t) : x ∉ t :=
h.right
#align set.not_mem_of_mem_diff Set.not_mem_of_mem_diff
theorem diff_eq_compl_inter {s t : Set α} : s \ t = tᶜ ∩ s := by rw [diff_eq, inter_comm]
#align set.diff_eq_compl_inter Set.diff_eq_compl_inter
theorem nonempty_diff {s t : Set α} : (s \ t).Nonempty ↔ ¬s ⊆ t :=
inter_compl_nonempty_iff
#align set.nonempty_diff Set.nonempty_diff
theorem diff_subset {s t : Set α} : s \ t ⊆ s := show s \ t ≤ s from sdiff_le
#align set.diff_subset Set.diff_subset
theorem diff_subset_compl (s t : Set α) : s \ t ⊆ tᶜ :=
diff_eq_compl_inter ▸ inter_subset_left
theorem union_diff_cancel' {s t u : Set α} (h₁ : s ⊆ t) (h₂ : t ⊆ u) : t ∪ u \ s = u :=
sup_sdiff_cancel' h₁ h₂
#align set.union_diff_cancel' Set.union_diff_cancel'
theorem union_diff_cancel {s t : Set α} (h : s ⊆ t) : s ∪ t \ s = t :=
sup_sdiff_cancel_right h
#align set.union_diff_cancel Set.union_diff_cancel
theorem union_diff_cancel_left {s t : Set α} (h : s ∩ t ⊆ ∅) : (s ∪ t) \ s = t :=
Disjoint.sup_sdiff_cancel_left <| disjoint_iff_inf_le.2 h
#align set.union_diff_cancel_left Set.union_diff_cancel_left
theorem union_diff_cancel_right {s t : Set α} (h : s ∩ t ⊆ ∅) : (s ∪ t) \ t = s :=
Disjoint.sup_sdiff_cancel_right <| disjoint_iff_inf_le.2 h
#align set.union_diff_cancel_right Set.union_diff_cancel_right
@[simp]
theorem union_diff_left {s t : Set α} : (s ∪ t) \ s = t \ s :=
sup_sdiff_left_self
#align set.union_diff_left Set.union_diff_left
@[simp]
theorem union_diff_right {s t : Set α} : (s ∪ t) \ t = s \ t :=
sup_sdiff_right_self
#align set.union_diff_right Set.union_diff_right
theorem union_diff_distrib {s t u : Set α} : (s ∪ t) \ u = s \ u ∪ t \ u :=
sup_sdiff
#align set.union_diff_distrib Set.union_diff_distrib
theorem inter_diff_assoc (a b c : Set α) : (a ∩ b) \ c = a ∩ (b \ c) :=
inf_sdiff_assoc
#align set.inter_diff_assoc Set.inter_diff_assoc
@[simp]
theorem inter_diff_self (a b : Set α) : a ∩ (b \ a) = ∅ :=
inf_sdiff_self_right
#align set.inter_diff_self Set.inter_diff_self
@[simp]
theorem inter_union_diff (s t : Set α) : s ∩ t ∪ s \ t = s :=
sup_inf_sdiff s t
#align set.inter_union_diff Set.inter_union_diff
@[simp]
theorem diff_union_inter (s t : Set α) : s \ t ∪ s ∩ t = s := by
rw [union_comm]
exact sup_inf_sdiff _ _
#align set.diff_union_inter Set.diff_union_inter
@[simp]
theorem inter_union_compl (s t : Set α) : s ∩ t ∪ s ∩ tᶜ = s :=
inter_union_diff _ _
#align set.inter_union_compl Set.inter_union_compl
@[gcongr]
theorem diff_subset_diff {s₁ s₂ t₁ t₂ : Set α} : s₁ ⊆ s₂ → t₂ ⊆ t₁ → s₁ \ t₁ ⊆ s₂ \ t₂ :=
show s₁ ≤ s₂ → t₂ ≤ t₁ → s₁ \ t₁ ≤ s₂ \ t₂ from sdiff_le_sdiff
#align set.diff_subset_diff Set.diff_subset_diff
@[gcongr]
theorem diff_subset_diff_left {s₁ s₂ t : Set α} (h : s₁ ⊆ s₂) : s₁ \ t ⊆ s₂ \ t :=
sdiff_le_sdiff_right ‹s₁ ≤ s₂›
#align set.diff_subset_diff_left Set.diff_subset_diff_left
@[gcongr]
theorem diff_subset_diff_right {s t u : Set α} (h : t ⊆ u) : s \ u ⊆ s \ t :=
sdiff_le_sdiff_left ‹t ≤ u›
#align set.diff_subset_diff_right Set.diff_subset_diff_right
theorem compl_eq_univ_diff (s : Set α) : sᶜ = univ \ s :=
top_sdiff.symm
#align set.compl_eq_univ_diff Set.compl_eq_univ_diff
@[simp]
theorem empty_diff (s : Set α) : (∅ \ s : Set α) = ∅ :=
bot_sdiff
#align set.empty_diff Set.empty_diff
theorem diff_eq_empty {s t : Set α} : s \ t = ∅ ↔ s ⊆ t :=
sdiff_eq_bot_iff
#align set.diff_eq_empty Set.diff_eq_empty
@[simp]
theorem diff_empty {s : Set α} : s \ ∅ = s :=
sdiff_bot
#align set.diff_empty Set.diff_empty
@[simp]
theorem diff_univ (s : Set α) : s \ univ = ∅ :=
diff_eq_empty.2 (subset_univ s)
#align set.diff_univ Set.diff_univ
theorem diff_diff {u : Set α} : (s \ t) \ u = s \ (t ∪ u) :=
sdiff_sdiff_left
#align set.diff_diff Set.diff_diff
-- the following statement contains parentheses to help the reader
theorem diff_diff_comm {s t u : Set α} : (s \ t) \ u = (s \ u) \ t :=
sdiff_sdiff_comm
#align set.diff_diff_comm Set.diff_diff_comm
theorem diff_subset_iff {s t u : Set α} : s \ t ⊆ u ↔ s ⊆ t ∪ u :=
show s \ t ≤ u ↔ s ≤ t ∪ u from sdiff_le_iff
#align set.diff_subset_iff Set.diff_subset_iff
theorem subset_diff_union (s t : Set α) : s ⊆ s \ t ∪ t :=
show s ≤ s \ t ∪ t from le_sdiff_sup
#align set.subset_diff_union Set.subset_diff_union
theorem diff_union_of_subset {s t : Set α} (h : t ⊆ s) : s \ t ∪ t = s :=
Subset.antisymm (union_subset diff_subset h) (subset_diff_union _ _)
#align set.diff_union_of_subset Set.diff_union_of_subset
@[simp]
theorem diff_singleton_subset_iff {x : α} {s t : Set α} : s \ {x} ⊆ t ↔ s ⊆ insert x t := by
rw [← union_singleton, union_comm]
apply diff_subset_iff
#align set.diff_singleton_subset_iff Set.diff_singleton_subset_iff
theorem subset_diff_singleton {x : α} {s t : Set α} (h : s ⊆ t) (hx : x ∉ s) : s ⊆ t \ {x} :=
subset_inter h <| subset_compl_comm.1 <| singleton_subset_iff.2 hx
#align set.subset_diff_singleton Set.subset_diff_singleton
theorem subset_insert_diff_singleton (x : α) (s : Set α) : s ⊆ insert x (s \ {x}) := by
rw [← diff_singleton_subset_iff]
#align set.subset_insert_diff_singleton Set.subset_insert_diff_singleton
theorem diff_subset_comm {s t u : Set α} : s \ t ⊆ u ↔ s \ u ⊆ t :=
show s \ t ≤ u ↔ s \ u ≤ t from sdiff_le_comm
#align set.diff_subset_comm Set.diff_subset_comm
theorem diff_inter {s t u : Set α} : s \ (t ∩ u) = s \ t ∪ s \ u :=
sdiff_inf
#align set.diff_inter Set.diff_inter
theorem diff_inter_diff {s t u : Set α} : s \ t ∩ (s \ u) = s \ (t ∪ u) :=
sdiff_sup.symm
#align set.diff_inter_diff Set.diff_inter_diff
theorem diff_compl : s \ tᶜ = s ∩ t :=
sdiff_compl
#align set.diff_compl Set.diff_compl
theorem diff_diff_right {s t u : Set α} : s \ (t \ u) = s \ t ∪ s ∩ u :=
sdiff_sdiff_right'
#align set.diff_diff_right Set.diff_diff_right
@[simp]
theorem insert_diff_of_mem (s) (h : a ∈ t) : insert a s \ t = s \ t := by
ext
constructor <;> simp (config := { contextual := true }) [or_imp, h]
#align set.insert_diff_of_mem Set.insert_diff_of_mem
theorem insert_diff_of_not_mem (s) (h : a ∉ t) : insert a s \ t = insert a (s \ t) := by
classical
ext x
by_cases h' : x ∈ t
· have : x ≠ a := by
intro H
rw [H] at h'
exact h h'
simp [h, h', this]
· simp [h, h']
#align set.insert_diff_of_not_mem Set.insert_diff_of_not_mem
theorem insert_diff_self_of_not_mem {a : α} {s : Set α} (h : a ∉ s) : insert a s \ {a} = s := by
ext x
simp [and_iff_left_of_imp fun hx : x ∈ s => show x ≠ a from fun hxa => h <| hxa ▸ hx]
#align set.insert_diff_self_of_not_mem Set.insert_diff_self_of_not_mem
@[simp]
theorem insert_diff_eq_singleton {a : α} {s : Set α} (h : a ∉ s) : insert a s \ s = {a} := by
ext
rw [Set.mem_diff, Set.mem_insert_iff, Set.mem_singleton_iff, or_and_right, and_not_self_iff,
or_false_iff, and_iff_left_iff_imp]
rintro rfl
exact h
#align set.insert_diff_eq_singleton Set.insert_diff_eq_singleton
theorem inter_insert_of_mem (h : a ∈ s) : s ∩ insert a t = insert a (s ∩ t) := by
rw [insert_inter_distrib, insert_eq_of_mem h]
#align set.inter_insert_of_mem Set.inter_insert_of_mem
theorem insert_inter_of_mem (h : a ∈ t) : insert a s ∩ t = insert a (s ∩ t) := by
rw [insert_inter_distrib, insert_eq_of_mem h]
#align set.insert_inter_of_mem Set.insert_inter_of_mem
theorem inter_insert_of_not_mem (h : a ∉ s) : s ∩ insert a t = s ∩ t :=
ext fun _ => and_congr_right fun hx => or_iff_right <| ne_of_mem_of_not_mem hx h
#align set.inter_insert_of_not_mem Set.inter_insert_of_not_mem
theorem insert_inter_of_not_mem (h : a ∉ t) : insert a s ∩ t = s ∩ t :=
ext fun _ => and_congr_left fun hx => or_iff_right <| ne_of_mem_of_not_mem hx h
#align set.insert_inter_of_not_mem Set.insert_inter_of_not_mem
@[simp]
theorem union_diff_self {s t : Set α} : s ∪ t \ s = s ∪ t :=
sup_sdiff_self _ _
#align set.union_diff_self Set.union_diff_self
@[simp]
theorem diff_union_self {s t : Set α} : s \ t ∪ t = s ∪ t :=
sdiff_sup_self _ _
#align set.diff_union_self Set.diff_union_self
@[simp]
theorem diff_inter_self {a b : Set α} : b \ a ∩ a = ∅ :=
inf_sdiff_self_left
#align set.diff_inter_self Set.diff_inter_self
@[simp]
theorem diff_inter_self_eq_diff {s t : Set α} : s \ (t ∩ s) = s \ t :=
sdiff_inf_self_right _ _
#align set.diff_inter_self_eq_diff Set.diff_inter_self_eq_diff
@[simp]
theorem diff_self_inter {s t : Set α} : s \ (s ∩ t) = s \ t :=
sdiff_inf_self_left _ _
#align set.diff_self_inter Set.diff_self_inter
@[simp]
theorem diff_singleton_eq_self {a : α} {s : Set α} (h : a ∉ s) : s \ {a} = s :=
sdiff_eq_self_iff_disjoint.2 <| by simp [h]
#align set.diff_singleton_eq_self Set.diff_singleton_eq_self
@[simp]
theorem diff_singleton_sSubset {s : Set α} {a : α} : s \ {a} ⊂ s ↔ a ∈ s :=
sdiff_le.lt_iff_ne.trans <| sdiff_eq_left.not.trans <| by simp
#align set.diff_singleton_ssubset Set.diff_singleton_sSubset
@[simp]
theorem insert_diff_singleton {a : α} {s : Set α} : insert a (s \ {a}) = insert a s := by
simp [insert_eq, union_diff_self, -union_singleton, -singleton_union]
#align set.insert_diff_singleton Set.insert_diff_singleton
theorem insert_diff_singleton_comm (hab : a ≠ b) (s : Set α) :
insert a (s \ {b}) = insert a s \ {b} := by
simp_rw [← union_singleton, union_diff_distrib,
diff_singleton_eq_self (mem_singleton_iff.not.2 hab.symm)]
#align set.insert_diff_singleton_comm Set.insert_diff_singleton_comm
--Porting note (#10618): removed `simp` attribute because `simp` can prove it
theorem diff_self {s : Set α} : s \ s = ∅ :=
sdiff_self
#align set.diff_self Set.diff_self
theorem diff_diff_right_self (s t : Set α) : s \ (s \ t) = s ∩ t :=
sdiff_sdiff_right_self
#align set.diff_diff_right_self Set.diff_diff_right_self
theorem diff_diff_cancel_left {s t : Set α} (h : s ⊆ t) : t \ (t \ s) = s :=
sdiff_sdiff_eq_self h
#align set.diff_diff_cancel_left Set.diff_diff_cancel_left
theorem mem_diff_singleton {x y : α} {s : Set α} : x ∈ s \ {y} ↔ x ∈ s ∧ x ≠ y :=
Iff.rfl
#align set.mem_diff_singleton Set.mem_diff_singleton
theorem mem_diff_singleton_empty {t : Set (Set α)} : s ∈ t \ {∅} ↔ s ∈ t ∧ s.Nonempty :=
mem_diff_singleton.trans <| and_congr_right' nonempty_iff_ne_empty.symm
#align set.mem_diff_singleton_empty Set.mem_diff_singleton_empty
theorem subset_insert_iff {s t : Set α} {x : α} :
s ⊆ insert x t ↔ s ⊆ t ∨ (x ∈ s ∧ s \ {x} ⊆ t) := by
rw [← diff_singleton_subset_iff]
by_cases hx : x ∈ s
· rw [and_iff_right hx, or_iff_right_of_imp diff_subset.trans]
rw [diff_singleton_eq_self hx, or_iff_left_of_imp And.right]
theorem union_eq_diff_union_diff_union_inter (s t : Set α) : s ∪ t = s \ t ∪ t \ s ∪ s ∩ t :=
sup_eq_sdiff_sup_sdiff_sup_inf
#align set.union_eq_diff_union_diff_union_inter Set.union_eq_diff_union_diff_union_inter
--Porting note (#10618): removed `simp` attribute because `simp` can prove it
theorem pair_eq_singleton (a : α) : ({a, a} : Set α) = {a} :=
union_self _
#align set.pair_eq_singleton Set.pair_eq_singleton
theorem pair_comm (a b : α) : ({a, b} : Set α) = {b, a} :=
union_comm _ _
#align set.pair_comm Set.pair_comm
theorem pair_eq_pair_iff {x y z w : α} :
({x, y} : Set α) = {z, w} ↔ x = z ∧ y = w ∨ x = w ∧ y = z := by
simp [subset_antisymm_iff, insert_subset_iff]; aesop
#align set.pair_eq_pair_iff Set.pair_eq_pair_iff
theorem pair_diff_left (hne : a ≠ b) : ({a, b} : Set α) \ {a} = {b} := by
rw [insert_diff_of_mem _ (mem_singleton a), diff_singleton_eq_self (by simpa)]
| Mathlib/Data/Set/Basic.lean | 2,085 | 2,086 | theorem pair_diff_right (hne : a ≠ b) : ({a, b} : Set α) \ {b} = {a} := by |
rw [pair_comm, pair_diff_left hne.symm]
|
import Mathlib.Dynamics.Flow
import Mathlib.Tactic.Monotonicity
#align_import dynamics.omega_limit from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
open Set Function Filter Topology
section omegaLimit
variable {τ : Type*} {α : Type*} {β : Type*} {ι : Type*}
def omegaLimit [TopologicalSpace β] (f : Filter τ) (ϕ : τ → α → β) (s : Set α) : Set β :=
⋂ u ∈ f, closure (image2 ϕ u s)
#align omega_limit omegaLimit
@[inherit_doc]
scoped[omegaLimit] notation "ω" => omegaLimit
scoped[omegaLimit] notation "ω⁺" => omegaLimit Filter.atTop
scoped[omegaLimit] notation "ω⁻" => omegaLimit Filter.atBot
variable [TopologicalSpace β]
variable (f : Filter τ) (ϕ : τ → α → β) (s s₁ s₂ : Set α)
open omegaLimit
theorem omegaLimit_def : ω f ϕ s = ⋂ u ∈ f, closure (image2 ϕ u s) := rfl
#align omega_limit_def omegaLimit_def
theorem omegaLimit_subset_of_tendsto {m : τ → τ} {f₁ f₂ : Filter τ} (hf : Tendsto m f₁ f₂) :
ω f₁ (fun t x ↦ ϕ (m t) x) s ⊆ ω f₂ ϕ s := by
refine iInter₂_mono' fun u hu ↦ ⟨m ⁻¹' u, tendsto_def.mp hf _ hu, ?_⟩
rw [← image2_image_left]
exact closure_mono (image2_subset (image_preimage_subset _ _) Subset.rfl)
#align omega_limit_subset_of_tendsto omegaLimit_subset_of_tendsto
theorem omegaLimit_mono_left {f₁ f₂ : Filter τ} (hf : f₁ ≤ f₂) : ω f₁ ϕ s ⊆ ω f₂ ϕ s :=
omegaLimit_subset_of_tendsto ϕ s (tendsto_id'.2 hf)
#align omega_limit_mono_left omegaLimit_mono_left
theorem omegaLimit_mono_right {s₁ s₂ : Set α} (hs : s₁ ⊆ s₂) : ω f ϕ s₁ ⊆ ω f ϕ s₂ :=
iInter₂_mono fun _u _hu ↦ closure_mono (image2_subset Subset.rfl hs)
#align omega_limit_mono_right omegaLimit_mono_right
theorem isClosed_omegaLimit : IsClosed (ω f ϕ s) :=
isClosed_iInter fun _u ↦ isClosed_iInter fun _hu ↦ isClosed_closure
#align is_closed_omega_limit isClosed_omegaLimit
theorem mapsTo_omegaLimit' {α' β' : Type*} [TopologicalSpace β'] {f : Filter τ} {ϕ : τ → α → β}
{ϕ' : τ → α' → β'} {ga : α → α'} {s' : Set α'} (hs : MapsTo ga s s') {gb : β → β'}
(hg : ∀ᶠ t in f, EqOn (gb ∘ ϕ t) (ϕ' t ∘ ga) s) (hgc : Continuous gb) :
MapsTo gb (ω f ϕ s) (ω f ϕ' s') := by
simp only [omegaLimit_def, mem_iInter, MapsTo]
intro y hy u hu
refine map_mem_closure hgc (hy _ (inter_mem hu hg)) (forall_image2_iff.2 fun t ht x hx ↦ ?_)
calc
gb (ϕ t x) = ϕ' t (ga x) := ht.2 hx
_ ∈ image2 ϕ' u s' := mem_image2_of_mem ht.1 (hs hx)
#align maps_to_omega_limit' mapsTo_omegaLimit'
theorem mapsTo_omegaLimit {α' β' : Type*} [TopologicalSpace β'] {f : Filter τ} {ϕ : τ → α → β}
{ϕ' : τ → α' → β'} {ga : α → α'} {s' : Set α'} (hs : MapsTo ga s s') {gb : β → β'}
(hg : ∀ t x, gb (ϕ t x) = ϕ' t (ga x)) (hgc : Continuous gb) :
MapsTo gb (ω f ϕ s) (ω f ϕ' s') :=
mapsTo_omegaLimit' _ hs (eventually_of_forall fun t x _hx ↦ hg t x) hgc
#align maps_to_omega_limit mapsTo_omegaLimit
theorem omegaLimit_image_eq {α' : Type*} (ϕ : τ → α' → β) (f : Filter τ) (g : α → α') :
ω f ϕ (g '' s) = ω f (fun t x ↦ ϕ t (g x)) s := by simp only [omegaLimit, image2_image_right]
#align omega_limit_image_eq omegaLimit_image_eq
theorem omegaLimit_preimage_subset {α' : Type*} (ϕ : τ → α' → β) (s : Set α') (f : Filter τ)
(g : α → α') : ω f (fun t x ↦ ϕ t (g x)) (g ⁻¹' s) ⊆ ω f ϕ s :=
mapsTo_omegaLimit _ (mapsTo_preimage _ _) (fun _t _x ↦ rfl) continuous_id
#align omega_limit_preimage_subset omegaLimit_preimage_subset
theorem mem_omegaLimit_iff_frequently (y : β) :
y ∈ ω f ϕ s ↔ ∀ n ∈ 𝓝 y, ∃ᶠ t in f, (s ∩ ϕ t ⁻¹' n).Nonempty := by
simp_rw [frequently_iff, omegaLimit_def, mem_iInter, mem_closure_iff_nhds]
constructor
· intro h _ hn _ hu
rcases h _ hu _ hn with ⟨_, _, _, ht, _, hx, rfl⟩
exact ⟨_, ht, _, hx, by rwa [mem_preimage]⟩
· intro h _ hu _ hn
rcases h _ hn hu with ⟨_, ht, _, hx, hϕtx⟩
exact ⟨_, hϕtx, _, ht, _, hx, rfl⟩
#align mem_omega_limit_iff_frequently mem_omegaLimit_iff_frequently
theorem mem_omegaLimit_iff_frequently₂ (y : β) :
y ∈ ω f ϕ s ↔ ∀ n ∈ 𝓝 y, ∃ᶠ t in f, (ϕ t '' s ∩ n).Nonempty := by
simp_rw [mem_omegaLimit_iff_frequently, image_inter_nonempty_iff]
#align mem_omega_limit_iff_frequently₂ mem_omegaLimit_iff_frequently₂
theorem mem_omegaLimit_singleton_iff_map_cluster_point (x : α) (y : β) :
y ∈ ω f ϕ {x} ↔ MapClusterPt y f fun t ↦ ϕ t x := by
simp_rw [mem_omegaLimit_iff_frequently, mapClusterPt_iff, singleton_inter_nonempty, mem_preimage]
#align mem_omega_limit_singleton_iff_map_cluster_point mem_omegaLimit_singleton_iff_map_cluster_point
theorem omegaLimit_inter : ω f ϕ (s₁ ∩ s₂) ⊆ ω f ϕ s₁ ∩ ω f ϕ s₂ :=
subset_inter (omegaLimit_mono_right _ _ inter_subset_left)
(omegaLimit_mono_right _ _ inter_subset_right)
#align omega_limit_inter omegaLimit_inter
theorem omegaLimit_iInter (p : ι → Set α) : ω f ϕ (⋂ i, p i) ⊆ ⋂ i, ω f ϕ (p i) :=
subset_iInter fun _i ↦ omegaLimit_mono_right _ _ (iInter_subset _ _)
#align omega_limit_Inter omegaLimit_iInter
| Mathlib/Dynamics/OmegaLimit.lean | 168 | 180 | theorem omegaLimit_union : ω f ϕ (s₁ ∪ s₂) = ω f ϕ s₁ ∪ ω f ϕ s₂ := by |
ext y; constructor
· simp only [mem_union, mem_omegaLimit_iff_frequently, union_inter_distrib_right, union_nonempty,
frequently_or_distrib]
contrapose!
simp only [not_frequently, not_nonempty_iff_eq_empty, ← subset_empty_iff]
rintro ⟨⟨n₁, hn₁, h₁⟩, ⟨n₂, hn₂, h₂⟩⟩
refine ⟨n₁ ∩ n₂, inter_mem hn₁ hn₂, h₁.mono fun t ↦ ?_, h₂.mono fun t ↦ ?_⟩
exacts [Subset.trans <| inter_subset_inter_right _ <| preimage_mono inter_subset_left,
Subset.trans <| inter_subset_inter_right _ <| preimage_mono inter_subset_right]
· rintro (hy | hy)
exacts [omegaLimit_mono_right _ _ subset_union_left hy,
omegaLimit_mono_right _ _ subset_union_right hy]
|
import Mathlib.Algebra.Algebra.Prod
import Mathlib.LinearAlgebra.Basic
import Mathlib.LinearAlgebra.Span
import Mathlib.Order.PartialSups
#align_import linear_algebra.prod from "leanprover-community/mathlib"@"cd391184c85986113f8c00844cfe6dda1d34be3d"
universe u v w x y z u' v' w' y'
variable {R : Type u} {K : Type u'} {M : Type v} {V : Type v'} {M₂ : Type w} {V₂ : Type w'}
variable {M₃ : Type y} {V₃ : Type y'} {M₄ : Type z} {ι : Type x}
variable {M₅ M₆ : Type*}
section Prod
namespace LinearMap
variable (S : Type*) [Semiring R] [Semiring S]
variable [AddCommMonoid M] [AddCommMonoid M₂] [AddCommMonoid M₃] [AddCommMonoid M₄]
variable [AddCommMonoid M₅] [AddCommMonoid M₆]
variable [Module R M] [Module R M₂] [Module R M₃] [Module R M₄]
variable [Module R M₅] [Module R M₆]
variable (f : M →ₗ[R] M₂)
section
variable (R M M₂)
def fst : M × M₂ →ₗ[R] M where
toFun := Prod.fst
map_add' _x _y := rfl
map_smul' _x _y := rfl
#align linear_map.fst LinearMap.fst
def snd : M × M₂ →ₗ[R] M₂ where
toFun := Prod.snd
map_add' _x _y := rfl
map_smul' _x _y := rfl
#align linear_map.snd LinearMap.snd
end
@[simp]
theorem fst_apply (x : M × M₂) : fst R M M₂ x = x.1 :=
rfl
#align linear_map.fst_apply LinearMap.fst_apply
@[simp]
theorem snd_apply (x : M × M₂) : snd R M M₂ x = x.2 :=
rfl
#align linear_map.snd_apply LinearMap.snd_apply
theorem fst_surjective : Function.Surjective (fst R M M₂) := fun x => ⟨(x, 0), rfl⟩
#align linear_map.fst_surjective LinearMap.fst_surjective
theorem snd_surjective : Function.Surjective (snd R M M₂) := fun x => ⟨(0, x), rfl⟩
#align linear_map.snd_surjective LinearMap.snd_surjective
@[simps]
def prod (f : M →ₗ[R] M₂) (g : M →ₗ[R] M₃) : M →ₗ[R] M₂ × M₃ where
toFun := Pi.prod f g
map_add' x y := by simp only [Pi.prod, Prod.mk_add_mk, map_add]
map_smul' c x := by simp only [Pi.prod, Prod.smul_mk, map_smul, RingHom.id_apply]
#align linear_map.prod LinearMap.prod
theorem coe_prod (f : M →ₗ[R] M₂) (g : M →ₗ[R] M₃) : ⇑(f.prod g) = Pi.prod f g :=
rfl
#align linear_map.coe_prod LinearMap.coe_prod
@[simp]
theorem fst_prod (f : M →ₗ[R] M₂) (g : M →ₗ[R] M₃) : (fst R M₂ M₃).comp (prod f g) = f := rfl
#align linear_map.fst_prod LinearMap.fst_prod
@[simp]
theorem snd_prod (f : M →ₗ[R] M₂) (g : M →ₗ[R] M₃) : (snd R M₂ M₃).comp (prod f g) = g := rfl
#align linear_map.snd_prod LinearMap.snd_prod
@[simp]
theorem pair_fst_snd : prod (fst R M M₂) (snd R M M₂) = LinearMap.id := rfl
#align linear_map.pair_fst_snd LinearMap.pair_fst_snd
theorem prod_comp (f : M₂ →ₗ[R] M₃) (g : M₂ →ₗ[R] M₄)
(h : M →ₗ[R] M₂) : (f.prod g).comp h = (f.comp h).prod (g.comp h) :=
rfl
@[simps]
def prodEquiv [Module S M₂] [Module S M₃] [SMulCommClass R S M₂] [SMulCommClass R S M₃] :
((M →ₗ[R] M₂) × (M →ₗ[R] M₃)) ≃ₗ[S] M →ₗ[R] M₂ × M₃ where
toFun f := f.1.prod f.2
invFun f := ((fst _ _ _).comp f, (snd _ _ _).comp f)
left_inv f := by ext <;> rfl
right_inv f := by ext <;> rfl
map_add' a b := rfl
map_smul' r a := rfl
#align linear_map.prod_equiv LinearMap.prodEquiv
section
variable (R M M₂)
def inl : M →ₗ[R] M × M₂ :=
prod LinearMap.id 0
#align linear_map.inl LinearMap.inl
def inr : M₂ →ₗ[R] M × M₂ :=
prod 0 LinearMap.id
#align linear_map.inr LinearMap.inr
theorem range_inl : range (inl R M M₂) = ker (snd R M M₂) := by
ext x
simp only [mem_ker, mem_range]
constructor
· rintro ⟨y, rfl⟩
rfl
· intro h
exact ⟨x.fst, Prod.ext rfl h.symm⟩
#align linear_map.range_inl LinearMap.range_inl
theorem ker_snd : ker (snd R M M₂) = range (inl R M M₂) :=
Eq.symm <| range_inl R M M₂
#align linear_map.ker_snd LinearMap.ker_snd
theorem range_inr : range (inr R M M₂) = ker (fst R M M₂) := by
ext x
simp only [mem_ker, mem_range]
constructor
· rintro ⟨y, rfl⟩
rfl
· intro h
exact ⟨x.snd, Prod.ext h.symm rfl⟩
#align linear_map.range_inr LinearMap.range_inr
theorem ker_fst : ker (fst R M M₂) = range (inr R M M₂) :=
Eq.symm <| range_inr R M M₂
#align linear_map.ker_fst LinearMap.ker_fst
@[simp] theorem fst_comp_inl : fst R M M₂ ∘ₗ inl R M M₂ = id := rfl
@[simp] theorem snd_comp_inl : snd R M M₂ ∘ₗ inl R M M₂ = 0 := rfl
@[simp] theorem fst_comp_inr : fst R M M₂ ∘ₗ inr R M M₂ = 0 := rfl
@[simp] theorem snd_comp_inr : snd R M M₂ ∘ₗ inr R M M₂ = id := rfl
end
@[simp]
theorem coe_inl : (inl R M M₂ : M → M × M₂) = fun x => (x, 0) :=
rfl
#align linear_map.coe_inl LinearMap.coe_inl
theorem inl_apply (x : M) : inl R M M₂ x = (x, 0) :=
rfl
#align linear_map.inl_apply LinearMap.inl_apply
@[simp]
theorem coe_inr : (inr R M M₂ : M₂ → M × M₂) = Prod.mk 0 :=
rfl
#align linear_map.coe_inr LinearMap.coe_inr
theorem inr_apply (x : M₂) : inr R M M₂ x = (0, x) :=
rfl
#align linear_map.inr_apply LinearMap.inr_apply
theorem inl_eq_prod : inl R M M₂ = prod LinearMap.id 0 :=
rfl
#align linear_map.inl_eq_prod LinearMap.inl_eq_prod
theorem inr_eq_prod : inr R M M₂ = prod 0 LinearMap.id :=
rfl
#align linear_map.inr_eq_prod LinearMap.inr_eq_prod
theorem inl_injective : Function.Injective (inl R M M₂) := fun _ => by simp
#align linear_map.inl_injective LinearMap.inl_injective
theorem inr_injective : Function.Injective (inr R M M₂) := fun _ => by simp
#align linear_map.inr_injective LinearMap.inr_injective
def coprod (f : M →ₗ[R] M₃) (g : M₂ →ₗ[R] M₃) : M × M₂ →ₗ[R] M₃ :=
f.comp (fst _ _ _) + g.comp (snd _ _ _)
#align linear_map.coprod LinearMap.coprod
@[simp]
theorem coprod_apply (f : M →ₗ[R] M₃) (g : M₂ →ₗ[R] M₃) (x : M × M₂) :
coprod f g x = f x.1 + g x.2 :=
rfl
#align linear_map.coprod_apply LinearMap.coprod_apply
@[simp]
theorem coprod_inl (f : M →ₗ[R] M₃) (g : M₂ →ₗ[R] M₃) : (coprod f g).comp (inl R M M₂) = f := by
ext; simp only [map_zero, add_zero, coprod_apply, inl_apply, comp_apply]
#align linear_map.coprod_inl LinearMap.coprod_inl
@[simp]
theorem coprod_inr (f : M →ₗ[R] M₃) (g : M₂ →ₗ[R] M₃) : (coprod f g).comp (inr R M M₂) = g := by
ext; simp only [map_zero, coprod_apply, inr_apply, zero_add, comp_apply]
#align linear_map.coprod_inr LinearMap.coprod_inr
@[simp]
theorem coprod_inl_inr : coprod (inl R M M₂) (inr R M M₂) = LinearMap.id := by
ext <;>
simp only [Prod.mk_add_mk, add_zero, id_apply, coprod_apply, inl_apply, inr_apply, zero_add]
#align linear_map.coprod_inl_inr LinearMap.coprod_inl_inr
theorem coprod_zero_left (g : M₂ →ₗ[R] M₃) : (0 : M →ₗ[R] M₃).coprod g = g.comp (snd R M M₂) :=
zero_add _
theorem coprod_zero_right (f : M →ₗ[R] M₃) : f.coprod (0 : M₂ →ₗ[R] M₃) = f.comp (fst R M M₂) :=
add_zero _
theorem comp_coprod (f : M₃ →ₗ[R] M₄) (g₁ : M →ₗ[R] M₃) (g₂ : M₂ →ₗ[R] M₃) :
f.comp (g₁.coprod g₂) = (f.comp g₁).coprod (f.comp g₂) :=
ext fun x => f.map_add (g₁ x.1) (g₂ x.2)
#align linear_map.comp_coprod LinearMap.comp_coprod
theorem fst_eq_coprod : fst R M M₂ = coprod LinearMap.id 0 := by ext; simp
#align linear_map.fst_eq_coprod LinearMap.fst_eq_coprod
| Mathlib/LinearAlgebra/Prod.lean | 259 | 259 | theorem snd_eq_coprod : snd R M M₂ = coprod 0 LinearMap.id := by | ext; simp
|
import Mathlib.Analysis.Convex.Basic
import Mathlib.Analysis.InnerProductSpace.Orthogonal
import Mathlib.Analysis.InnerProductSpace.Symmetric
import Mathlib.Analysis.NormedSpace.RCLike
import Mathlib.Analysis.RCLike.Lemmas
import Mathlib.Algebra.DirectSum.Decomposition
#align_import analysis.inner_product_space.projection from "leanprover-community/mathlib"@"0b7c740e25651db0ba63648fbae9f9d6f941e31b"
noncomputable section
open RCLike Real Filter
open LinearMap (ker range)
open Topology
variable {𝕜 E F : Type*} [RCLike 𝕜]
variable [NormedAddCommGroup E] [NormedAddCommGroup F]
variable [InnerProductSpace 𝕜 E] [InnerProductSpace ℝ F]
local notation "⟪" x ", " y "⟫" => @inner 𝕜 _ _ x y
local notation "absR" => abs
-- 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.
theorem exists_norm_eq_iInf_of_complete_convex {K : Set F} (ne : K.Nonempty) (h₁ : IsComplete K)
(h₂ : Convex ℝ K) : ∀ u : F, ∃ v ∈ K, ‖u - v‖ = ⨅ w : K, ‖u - w‖ := fun u => by
let δ := ⨅ w : K, ‖u - w‖
letI : Nonempty K := ne.to_subtype
have zero_le_δ : 0 ≤ δ := le_ciInf fun _ => norm_nonneg _
have δ_le : ∀ w : K, δ ≤ ‖u - w‖ := ciInf_le ⟨0, Set.forall_mem_range.2 fun _ => norm_nonneg _⟩
have δ_le' : ∀ w ∈ K, δ ≤ ‖u - w‖ := fun w hw => δ_le ⟨w, hw⟩
-- Step 1: since `δ` is the infimum, can find a sequence `w : ℕ → K` in `K`
-- such that `‖u - w n‖ < δ + 1 / (n + 1)` (which implies `‖u - w n‖ --> δ`);
-- maybe this should be a separate lemma
have exists_seq : ∃ w : ℕ → K, ∀ n, ‖u - w n‖ < δ + 1 / (n + 1) := by
have hδ : ∀ n : ℕ, δ < δ + 1 / (n + 1) := fun n =>
lt_add_of_le_of_pos le_rfl Nat.one_div_pos_of_nat
have h := fun n => exists_lt_of_ciInf_lt (hδ n)
let w : ℕ → K := fun n => Classical.choose (h n)
exact ⟨w, fun n => Classical.choose_spec (h n)⟩
rcases exists_seq with ⟨w, hw⟩
have norm_tendsto : Tendsto (fun n => ‖u - w n‖) atTop (𝓝 δ) := by
have h : Tendsto (fun _ : ℕ => δ) atTop (𝓝 δ) := tendsto_const_nhds
have h' : Tendsto (fun n : ℕ => δ + 1 / (n + 1)) atTop (𝓝 δ) := by
convert h.add tendsto_one_div_add_atTop_nhds_zero_nat
simp only [add_zero]
exact tendsto_of_tendsto_of_tendsto_of_le_of_le h h' (fun x => δ_le _) fun x => le_of_lt (hw _)
-- Step 2: Prove that the sequence `w : ℕ → K` is a Cauchy sequence
have seq_is_cauchy : CauchySeq fun n => (w n : F) := by
rw [cauchySeq_iff_le_tendsto_0]
-- splits into three goals
let b := fun n : ℕ => 8 * δ * (1 / (n + 1)) + 4 * (1 / (n + 1)) * (1 / (n + 1))
use fun n => √(b n)
constructor
-- first goal : `∀ (n : ℕ), 0 ≤ √(b n)`
· intro n
exact sqrt_nonneg _
constructor
-- second goal : `∀ (n m N : ℕ), N ≤ n → N ≤ m → dist ↑(w n) ↑(w m) ≤ √(b N)`
· intro p q N hp hq
let wp := (w p : F)
let wq := (w q : F)
let a := u - wq
let b := u - wp
let half := 1 / (2 : ℝ)
let div := 1 / ((N : ℝ) + 1)
have :
4 * ‖u - half • (wq + wp)‖ * ‖u - half • (wq + wp)‖ + ‖wp - wq‖ * ‖wp - wq‖ =
2 * (‖a‖ * ‖a‖ + ‖b‖ * ‖b‖) :=
calc
4 * ‖u - half • (wq + wp)‖ * ‖u - half • (wq + wp)‖ + ‖wp - wq‖ * ‖wp - wq‖ =
2 * ‖u - half • (wq + wp)‖ * (2 * ‖u - half • (wq + wp)‖) + ‖wp - wq‖ * ‖wp - wq‖ :=
by ring
_ =
absR (2 : ℝ) * ‖u - half • (wq + wp)‖ * (absR (2 : ℝ) * ‖u - half • (wq + wp)‖) +
‖wp - wq‖ * ‖wp - wq‖ := by
rw [_root_.abs_of_nonneg]
exact zero_le_two
_ =
‖(2 : ℝ) • (u - half • (wq + wp))‖ * ‖(2 : ℝ) • (u - half • (wq + wp))‖ +
‖wp - wq‖ * ‖wp - wq‖ := by simp [norm_smul]
_ = ‖a + b‖ * ‖a + b‖ + ‖a - b‖ * ‖a - b‖ := by
rw [smul_sub, smul_smul, mul_one_div_cancel (_root_.two_ne_zero : (2 : ℝ) ≠ 0), ←
one_add_one_eq_two, add_smul]
simp only [one_smul]
have eq₁ : wp - wq = a - b := (sub_sub_sub_cancel_left _ _ _).symm
have eq₂ : u + u - (wq + wp) = a + b := by
show u + u - (wq + wp) = u - wq + (u - wp)
abel
rw [eq₁, eq₂]
_ = 2 * (‖a‖ * ‖a‖ + ‖b‖ * ‖b‖) := parallelogram_law_with_norm ℝ _ _
have eq : δ ≤ ‖u - half • (wq + wp)‖ := by
rw [smul_add]
apply δ_le'
apply h₂
repeat' exact Subtype.mem _
repeat' exact le_of_lt one_half_pos
exact add_halves 1
have eq₁ : 4 * δ * δ ≤ 4 * ‖u - half • (wq + wp)‖ * ‖u - half • (wq + wp)‖ := by
simp_rw [mul_assoc]
gcongr
have eq₂ : ‖a‖ ≤ δ + div :=
le_trans (le_of_lt <| hw q) (add_le_add_left (Nat.one_div_le_one_div hq) _)
have eq₂' : ‖b‖ ≤ δ + div :=
le_trans (le_of_lt <| hw p) (add_le_add_left (Nat.one_div_le_one_div hp) _)
rw [dist_eq_norm]
apply nonneg_le_nonneg_of_sq_le_sq
· exact sqrt_nonneg _
rw [mul_self_sqrt]
· calc
‖wp - wq‖ * ‖wp - wq‖ =
2 * (‖a‖ * ‖a‖ + ‖b‖ * ‖b‖) - 4 * ‖u - half • (wq + wp)‖ * ‖u - half • (wq + wp)‖ := by
simp [← this]
_ ≤ 2 * (‖a‖ * ‖a‖ + ‖b‖ * ‖b‖) - 4 * δ * δ := by gcongr
_ ≤ 2 * ((δ + div) * (δ + div) + (δ + div) * (δ + div)) - 4 * δ * δ := by gcongr
_ = 8 * δ * div + 4 * div * div := by ring
positivity
-- third goal : `Tendsto (fun (n : ℕ) => √(b n)) atTop (𝓝 0)`
suffices Tendsto (fun x ↦ √(8 * δ * x + 4 * x * x) : ℝ → ℝ) (𝓝 0) (𝓝 0)
from this.comp tendsto_one_div_add_atTop_nhds_zero_nat
exact Continuous.tendsto' (by continuity) _ _ (by simp)
-- Step 3: By completeness of `K`, let `w : ℕ → K` converge to some `v : K`.
-- Prove that it satisfies all requirements.
rcases cauchySeq_tendsto_of_isComplete h₁ (fun n => Subtype.mem _) seq_is_cauchy with
⟨v, hv, w_tendsto⟩
use v
use hv
have h_cont : Continuous fun v => ‖u - v‖ :=
Continuous.comp continuous_norm (Continuous.sub continuous_const continuous_id)
have : Tendsto (fun n => ‖u - w n‖) atTop (𝓝 ‖u - v‖) := by
convert Tendsto.comp h_cont.continuousAt w_tendsto
exact tendsto_nhds_unique this norm_tendsto
#align exists_norm_eq_infi_of_complete_convex exists_norm_eq_iInf_of_complete_convex
theorem norm_eq_iInf_iff_real_inner_le_zero {K : Set F} (h : Convex ℝ K) {u : F} {v : F}
(hv : v ∈ K) : (‖u - v‖ = ⨅ w : K, ‖u - w‖) ↔ ∀ w ∈ K, ⟪u - v, w - v⟫_ℝ ≤ 0 := by
letI : Nonempty K := ⟨⟨v, hv⟩⟩
constructor
· intro eq w hw
let δ := ⨅ w : K, ‖u - w‖
let p := ⟪u - v, w - v⟫_ℝ
let q := ‖w - v‖ ^ 2
have δ_le (w : K) : δ ≤ ‖u - w‖ := ciInf_le ⟨0, fun _ ⟨_, h⟩ => h ▸ norm_nonneg _⟩ _
have δ_le' (w) (hw : w ∈ K) : δ ≤ ‖u - w‖ := δ_le ⟨w, hw⟩
have (θ : ℝ) (hθ₁ : 0 < θ) (hθ₂ : θ ≤ 1) : 2 * p ≤ θ * q := by
have : ‖u - v‖ ^ 2 ≤ ‖u - v‖ ^ 2 - 2 * θ * ⟪u - v, w - v⟫_ℝ + θ * θ * ‖w - v‖ ^ 2 :=
calc ‖u - v‖ ^ 2
_ ≤ ‖u - (θ • w + (1 - θ) • v)‖ ^ 2 := by
simp only [sq]; apply mul_self_le_mul_self (norm_nonneg _)
rw [eq]; apply δ_le'
apply h hw hv
exacts [le_of_lt hθ₁, sub_nonneg.2 hθ₂, add_sub_cancel _ _]
_ = ‖u - v - θ • (w - v)‖ ^ 2 := by
have : u - (θ • w + (1 - θ) • v) = u - v - θ • (w - v) := by
rw [smul_sub, sub_smul, one_smul]
simp only [sub_eq_add_neg, add_comm, add_left_comm, add_assoc, neg_add_rev]
rw [this]
_ = ‖u - v‖ ^ 2 - 2 * θ * inner (u - v) (w - v) + θ * θ * ‖w - v‖ ^ 2 := by
rw [@norm_sub_sq ℝ, inner_smul_right, norm_smul]
simp only [sq]
show
‖u - v‖ * ‖u - v‖ - 2 * (θ * inner (u - v) (w - v)) +
absR θ * ‖w - v‖ * (absR θ * ‖w - v‖) =
‖u - v‖ * ‖u - v‖ - 2 * θ * inner (u - v) (w - v) + θ * θ * (‖w - v‖ * ‖w - v‖)
rw [abs_of_pos hθ₁]; ring
have eq₁ :
‖u - v‖ ^ 2 - 2 * θ * inner (u - v) (w - v) + θ * θ * ‖w - v‖ ^ 2 =
‖u - v‖ ^ 2 + (θ * θ * ‖w - v‖ ^ 2 - 2 * θ * inner (u - v) (w - v)) := by
abel
rw [eq₁, le_add_iff_nonneg_right] at this
have eq₂ :
θ * θ * ‖w - v‖ ^ 2 - 2 * θ * inner (u - v) (w - v) =
θ * (θ * ‖w - v‖ ^ 2 - 2 * inner (u - v) (w - v)) := by ring
rw [eq₂] at this
have := le_of_sub_nonneg (nonneg_of_mul_nonneg_right this hθ₁)
exact this
by_cases hq : q = 0
· rw [hq] at this
have : p ≤ 0 := by
have := this (1 : ℝ) (by norm_num) (by norm_num)
linarith
exact this
· have q_pos : 0 < q := lt_of_le_of_ne (sq_nonneg _) fun h ↦ hq h.symm
by_contra hp
rw [not_le] at hp
let θ := min (1 : ℝ) (p / q)
have eq₁ : θ * q ≤ p :=
calc
θ * q ≤ p / q * q := mul_le_mul_of_nonneg_right (min_le_right _ _) (sq_nonneg _)
_ = p := div_mul_cancel₀ _ hq
have : 2 * p ≤ p :=
calc
2 * p ≤ θ * q := by
set_option tactic.skipAssignedInstances false in
exact this θ (lt_min (by norm_num) (div_pos hp q_pos)) (by norm_num [θ])
_ ≤ p := eq₁
linarith
· intro h
apply le_antisymm
· apply le_ciInf
intro w
apply nonneg_le_nonneg_of_sq_le_sq (norm_nonneg _)
have := h w w.2
calc
‖u - v‖ * ‖u - v‖ ≤ ‖u - v‖ * ‖u - v‖ - 2 * inner (u - v) ((w : F) - v) := by linarith
_ ≤ ‖u - v‖ ^ 2 - 2 * inner (u - v) ((w : F) - v) + ‖(w : F) - v‖ ^ 2 := by
rw [sq]
refine le_add_of_nonneg_right ?_
exact sq_nonneg _
_ = ‖u - v - (w - v)‖ ^ 2 := (@norm_sub_sq ℝ _ _ _ _ _ _).symm
_ = ‖u - w‖ * ‖u - w‖ := by
have : u - v - (w - v) = u - w := by abel
rw [this, sq]
· show ⨅ w : K, ‖u - w‖ ≤ (fun w : K => ‖u - w‖) ⟨v, hv⟩
apply ciInf_le
use 0
rintro y ⟨z, rfl⟩
exact norm_nonneg _
#align norm_eq_infi_iff_real_inner_le_zero norm_eq_iInf_iff_real_inner_le_zero
variable (K : Submodule 𝕜 E)
theorem exists_norm_eq_iInf_of_complete_subspace (h : IsComplete (↑K : Set E)) :
∀ u : E, ∃ v ∈ K, ‖u - v‖ = ⨅ w : (K : Set E), ‖u - w‖ := by
letI : InnerProductSpace ℝ E := InnerProductSpace.rclikeToReal 𝕜 E
letI : Module ℝ E := RestrictScalars.module ℝ 𝕜 E
let K' : Submodule ℝ E := Submodule.restrictScalars ℝ K
exact exists_norm_eq_iInf_of_complete_convex ⟨0, K'.zero_mem⟩ h K'.convex
#align exists_norm_eq_infi_of_complete_subspace exists_norm_eq_iInf_of_complete_subspace
theorem norm_eq_iInf_iff_real_inner_eq_zero (K : Submodule ℝ F) {u : F} {v : F} (hv : v ∈ K) :
(‖u - v‖ = ⨅ w : (↑K : Set F), ‖u - w‖) ↔ ∀ w ∈ K, ⟪u - v, w⟫_ℝ = 0 :=
Iff.intro
(by
intro h
have h : ∀ w ∈ K, ⟪u - v, w - v⟫_ℝ ≤ 0 := by
rwa [norm_eq_iInf_iff_real_inner_le_zero] at h
exacts [K.convex, hv]
intro w hw
have le : ⟪u - v, w⟫_ℝ ≤ 0 := by
let w' := w + v
have : w' ∈ K := Submodule.add_mem _ hw hv
have h₁ := h w' this
have h₂ : w' - v = w := by
simp only [w', add_neg_cancel_right, sub_eq_add_neg]
rw [h₂] at h₁
exact h₁
have ge : ⟪u - v, w⟫_ℝ ≥ 0 := by
let w'' := -w + v
have : w'' ∈ K := Submodule.add_mem _ (Submodule.neg_mem _ hw) hv
have h₁ := h w'' this
have h₂ : w'' - v = -w := by
simp only [w'', neg_inj, add_neg_cancel_right, sub_eq_add_neg]
rw [h₂, inner_neg_right] at h₁
linarith
exact le_antisymm le ge)
(by
intro h
have : ∀ w ∈ K, ⟪u - v, w - v⟫_ℝ ≤ 0 := by
intro w hw
let w' := w - v
have : w' ∈ K := Submodule.sub_mem _ hw hv
have h₁ := h w' this
exact le_of_eq h₁
rwa [norm_eq_iInf_iff_real_inner_le_zero]
exacts [Submodule.convex _, hv])
#align norm_eq_infi_iff_real_inner_eq_zero norm_eq_iInf_iff_real_inner_eq_zero
theorem norm_eq_iInf_iff_inner_eq_zero {u : E} {v : E} (hv : v ∈ K) :
(‖u - v‖ = ⨅ w : K, ‖u - w‖) ↔ ∀ w ∈ K, ⟪u - v, w⟫ = 0 := by
letI : InnerProductSpace ℝ E := InnerProductSpace.rclikeToReal 𝕜 E
letI : Module ℝ E := RestrictScalars.module ℝ 𝕜 E
let K' : Submodule ℝ E := K.restrictScalars ℝ
constructor
· intro H
have A : ∀ w ∈ K, re ⟪u - v, w⟫ = 0 := (norm_eq_iInf_iff_real_inner_eq_zero K' hv).1 H
intro w hw
apply ext
· simp [A w hw]
· symm
calc
im (0 : 𝕜) = 0 := im.map_zero
_ = re ⟪u - v, (-I : 𝕜) • w⟫ := (A _ (K.smul_mem (-I) hw)).symm
_ = re (-I * ⟪u - v, w⟫) := by rw [inner_smul_right]
_ = im ⟪u - v, w⟫ := by simp
· intro H
have : ∀ w ∈ K', ⟪u - v, w⟫_ℝ = 0 := by
intro w hw
rw [real_inner_eq_re_inner, H w hw]
exact zero_re'
exact (norm_eq_iInf_iff_real_inner_eq_zero K' hv).2 this
#align norm_eq_infi_iff_inner_eq_zero norm_eq_iInf_iff_inner_eq_zero
class HasOrthogonalProjection (K : Submodule 𝕜 E) : Prop where
exists_orthogonal (v : E) : ∃ w ∈ K, v - w ∈ Kᗮ
instance (priority := 100) HasOrthogonalProjection.ofCompleteSpace [CompleteSpace K] :
HasOrthogonalProjection K where
exists_orthogonal v := by
rcases exists_norm_eq_iInf_of_complete_subspace K (completeSpace_coe_iff_isComplete.mp ‹_›) v
with ⟨w, hwK, hw⟩
refine ⟨w, hwK, (K.mem_orthogonal' _).2 ?_⟩
rwa [← norm_eq_iInf_iff_inner_eq_zero K hwK]
instance [HasOrthogonalProjection K] : HasOrthogonalProjection Kᗮ where
exists_orthogonal v := by
rcases HasOrthogonalProjection.exists_orthogonal (K := K) v with ⟨w, hwK, hw⟩
refine ⟨_, hw, ?_⟩
rw [sub_sub_cancel]
exact K.le_orthogonal_orthogonal hwK
instance HasOrthogonalProjection.map_linearIsometryEquiv [HasOrthogonalProjection K]
{E' : Type*} [NormedAddCommGroup E'] [InnerProductSpace 𝕜 E'] (f : E ≃ₗᵢ[𝕜] E') :
HasOrthogonalProjection (K.map (f.toLinearEquiv : E →ₗ[𝕜] E')) where
exists_orthogonal v := by
rcases HasOrthogonalProjection.exists_orthogonal (K := K) (f.symm v) with ⟨w, hwK, hw⟩
refine ⟨f w, Submodule.mem_map_of_mem hwK, Set.forall_mem_image.2 fun u hu ↦ ?_⟩
erw [← f.symm.inner_map_map, f.symm_apply_apply, map_sub, f.symm_apply_apply, hw u hu]
instance HasOrthogonalProjection.map_linearIsometryEquiv' [HasOrthogonalProjection K]
{E' : Type*} [NormedAddCommGroup E'] [InnerProductSpace 𝕜 E'] (f : E ≃ₗᵢ[𝕜] E') :
HasOrthogonalProjection (K.map f.toLinearIsometry) :=
HasOrthogonalProjection.map_linearIsometryEquiv K f
instance : HasOrthogonalProjection (⊤ : Submodule 𝕜 E) := ⟨fun v ↦ ⟨v, trivial, by simp⟩⟩
section orthogonalProjection
variable [HasOrthogonalProjection K]
def orthogonalProjectionFn (v : E) :=
(HasOrthogonalProjection.exists_orthogonal (K := K) v).choose
#align orthogonal_projection_fn orthogonalProjectionFn
variable {K}
theorem orthogonalProjectionFn_mem (v : E) : orthogonalProjectionFn K v ∈ K :=
(HasOrthogonalProjection.exists_orthogonal (K := K) v).choose_spec.left
#align orthogonal_projection_fn_mem orthogonalProjectionFn_mem
theorem orthogonalProjectionFn_inner_eq_zero (v : E) :
∀ w ∈ K, ⟪v - orthogonalProjectionFn K v, w⟫ = 0 :=
(K.mem_orthogonal' _).1 (HasOrthogonalProjection.exists_orthogonal (K := K) v).choose_spec.right
#align orthogonal_projection_fn_inner_eq_zero orthogonalProjectionFn_inner_eq_zero
theorem eq_orthogonalProjectionFn_of_mem_of_inner_eq_zero {u v : E} (hvm : v ∈ K)
(hvo : ∀ w ∈ K, ⟪u - v, w⟫ = 0) : orthogonalProjectionFn K u = v := by
rw [← sub_eq_zero, ← @inner_self_eq_zero 𝕜]
have hvs : orthogonalProjectionFn K u - v ∈ K :=
Submodule.sub_mem K (orthogonalProjectionFn_mem u) hvm
have huo : ⟪u - orthogonalProjectionFn K u, orthogonalProjectionFn K u - v⟫ = 0 :=
orthogonalProjectionFn_inner_eq_zero u _ hvs
have huv : ⟪u - v, orthogonalProjectionFn K u - v⟫ = 0 := hvo _ hvs
have houv : ⟪u - v - (u - orthogonalProjectionFn K u), orthogonalProjectionFn K u - v⟫ = 0 := by
rw [inner_sub_left, huo, huv, sub_zero]
rwa [sub_sub_sub_cancel_left] at houv
#align eq_orthogonal_projection_fn_of_mem_of_inner_eq_zero eq_orthogonalProjectionFn_of_mem_of_inner_eq_zero
variable (K)
theorem orthogonalProjectionFn_norm_sq (v : E) :
‖v‖ * ‖v‖ =
‖v - orthogonalProjectionFn K v‖ * ‖v - orthogonalProjectionFn K v‖ +
‖orthogonalProjectionFn K v‖ * ‖orthogonalProjectionFn K v‖ := by
set p := orthogonalProjectionFn K v
have h' : ⟪v - p, p⟫ = 0 :=
orthogonalProjectionFn_inner_eq_zero _ _ (orthogonalProjectionFn_mem v)
convert norm_add_sq_eq_norm_sq_add_norm_sq_of_inner_eq_zero (v - p) p h' using 2 <;> simp
#align orthogonal_projection_fn_norm_sq orthogonalProjectionFn_norm_sq
def orthogonalProjection : E →L[𝕜] K :=
LinearMap.mkContinuous
{ toFun := fun v => ⟨orthogonalProjectionFn K v, orthogonalProjectionFn_mem v⟩
map_add' := fun x y => by
have hm : orthogonalProjectionFn K x + orthogonalProjectionFn K y ∈ K :=
Submodule.add_mem K (orthogonalProjectionFn_mem x) (orthogonalProjectionFn_mem y)
have ho :
∀ w ∈ K, ⟪x + y - (orthogonalProjectionFn K x + orthogonalProjectionFn K y), w⟫ = 0 := by
intro w hw
rw [add_sub_add_comm, inner_add_left, orthogonalProjectionFn_inner_eq_zero _ w hw,
orthogonalProjectionFn_inner_eq_zero _ w hw, add_zero]
ext
simp [eq_orthogonalProjectionFn_of_mem_of_inner_eq_zero hm ho]
map_smul' := fun c x => by
have hm : c • orthogonalProjectionFn K x ∈ K :=
Submodule.smul_mem K _ (orthogonalProjectionFn_mem x)
have ho : ∀ w ∈ K, ⟪c • x - c • orthogonalProjectionFn K x, w⟫ = 0 := by
intro w hw
rw [← smul_sub, inner_smul_left, orthogonalProjectionFn_inner_eq_zero _ w hw,
mul_zero]
ext
simp [eq_orthogonalProjectionFn_of_mem_of_inner_eq_zero hm ho] }
1 fun x => by
simp only [one_mul, LinearMap.coe_mk]
refine le_of_pow_le_pow_left two_ne_zero (norm_nonneg _) ?_
change ‖orthogonalProjectionFn K x‖ ^ 2 ≤ ‖x‖ ^ 2
nlinarith [orthogonalProjectionFn_norm_sq K x]
#align orthogonal_projection orthogonalProjection
variable {K}
@[simp]
theorem orthogonalProjectionFn_eq (v : E) :
orthogonalProjectionFn K v = (orthogonalProjection K v : E) :=
rfl
#align orthogonal_projection_fn_eq orthogonalProjectionFn_eq
@[simp]
theorem orthogonalProjection_inner_eq_zero (v : E) :
∀ w ∈ K, ⟪v - orthogonalProjection K v, w⟫ = 0 :=
orthogonalProjectionFn_inner_eq_zero v
#align orthogonal_projection_inner_eq_zero orthogonalProjection_inner_eq_zero
@[simp]
theorem sub_orthogonalProjection_mem_orthogonal (v : E) : v - orthogonalProjection K v ∈ Kᗮ := by
intro w hw
rw [inner_eq_zero_symm]
exact orthogonalProjection_inner_eq_zero _ _ hw
#align sub_orthogonal_projection_mem_orthogonal sub_orthogonalProjection_mem_orthogonal
theorem eq_orthogonalProjection_of_mem_of_inner_eq_zero {u v : E} (hvm : v ∈ K)
(hvo : ∀ w ∈ K, ⟪u - v, w⟫ = 0) : (orthogonalProjection K u : E) = v :=
eq_orthogonalProjectionFn_of_mem_of_inner_eq_zero hvm hvo
#align eq_orthogonal_projection_of_mem_of_inner_eq_zero eq_orthogonalProjection_of_mem_of_inner_eq_zero
theorem eq_orthogonalProjection_of_mem_orthogonal {u v : E} (hv : v ∈ K)
(hvo : u - v ∈ Kᗮ) : (orthogonalProjection K u : E) = v :=
eq_orthogonalProjectionFn_of_mem_of_inner_eq_zero hv <| (Submodule.mem_orthogonal' _ _).1 hvo
#align eq_orthogonal_projection_of_mem_orthogonal eq_orthogonalProjection_of_mem_orthogonal
theorem eq_orthogonalProjection_of_mem_orthogonal' {u v z : E}
(hv : v ∈ K) (hz : z ∈ Kᗮ) (hu : u = v + z) : (orthogonalProjection K u : E) = v :=
eq_orthogonalProjection_of_mem_orthogonal hv (by simpa [hu] )
#align eq_orthogonal_projection_of_mem_orthogonal' eq_orthogonalProjection_of_mem_orthogonal'
@[simp]
theorem orthogonalProjection_orthogonal_val (u : E) :
(orthogonalProjection Kᗮ u : E) = u - orthogonalProjection K u :=
eq_orthogonalProjection_of_mem_orthogonal' (sub_orthogonalProjection_mem_orthogonal _)
(K.le_orthogonal_orthogonal (orthogonalProjection K u).2) <| by simp
theorem orthogonalProjection_orthogonal (u : E) :
orthogonalProjection Kᗮ u =
⟨u - orthogonalProjection K u, sub_orthogonalProjection_mem_orthogonal _⟩ :=
Subtype.eq <| orthogonalProjection_orthogonal_val _
theorem orthogonalProjection_minimal {U : Submodule 𝕜 E} [HasOrthogonalProjection U] (y : E) :
‖y - orthogonalProjection U y‖ = ⨅ x : U, ‖y - x‖ := by
rw [norm_eq_iInf_iff_inner_eq_zero _ (Submodule.coe_mem _)]
exact orthogonalProjection_inner_eq_zero _
#align orthogonal_projection_minimal orthogonalProjection_minimal
theorem eq_orthogonalProjection_of_eq_submodule {K' : Submodule 𝕜 E} [HasOrthogonalProjection K']
(h : K = K') (u : E) : (orthogonalProjection K u : E) = (orthogonalProjection K' u : E) := by
subst h; rfl
#align eq_orthogonal_projection_of_eq_submodule eq_orthogonalProjection_of_eq_submodule
@[simp]
theorem orthogonalProjection_mem_subspace_eq_self (v : K) : orthogonalProjection K v = v := by
ext
apply eq_orthogonalProjection_of_mem_of_inner_eq_zero <;> simp
#align orthogonal_projection_mem_subspace_eq_self orthogonalProjection_mem_subspace_eq_self
| Mathlib/Analysis/InnerProductSpace/Projection.lean | 557 | 561 | theorem orthogonalProjection_eq_self_iff {v : E} : (orthogonalProjection K v : E) = v ↔ v ∈ K := by |
refine ⟨fun h => ?_, fun h => eq_orthogonalProjection_of_mem_of_inner_eq_zero h ?_⟩
· rw [← h]
simp
· simp
|
import Mathlib.MeasureTheory.Constructions.Prod.Basic
import Mathlib.MeasureTheory.Group.Measure
#align_import measure_theory.group.prod from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844"
noncomputable section
open Set hiding prod_eq
open Function MeasureTheory
open Filter hiding map
open scoped Classical ENNReal Pointwise MeasureTheory
variable (G : Type*) [MeasurableSpace G]
variable [Group G] [MeasurableMul₂ G]
variable (μ ν : Measure G) [SigmaFinite ν] [SigmaFinite μ] {s : Set G}
@[to_additive "The map `(x, y) ↦ (x, x + y)` as a `MeasurableEquiv`."]
protected def MeasurableEquiv.shearMulRight [MeasurableInv G] : G × G ≃ᵐ G × G :=
{ Equiv.prodShear (Equiv.refl _) Equiv.mulLeft with
measurable_toFun := measurable_fst.prod_mk measurable_mul
measurable_invFun := measurable_fst.prod_mk <| measurable_fst.inv.mul measurable_snd }
#align measurable_equiv.shear_mul_right MeasurableEquiv.shearMulRight
#align measurable_equiv.shear_add_right MeasurableEquiv.shearAddRight
@[to_additive
"The map `(x, y) ↦ (x, y - x)` as a `MeasurableEquiv` with as inverse `(x, y) ↦ (x, y + x)`."]
protected def MeasurableEquiv.shearDivRight [MeasurableInv G] : G × G ≃ᵐ G × G :=
{ Equiv.prodShear (Equiv.refl _) Equiv.divRight with
measurable_toFun := measurable_fst.prod_mk <| measurable_snd.div measurable_fst
measurable_invFun := measurable_fst.prod_mk <| measurable_snd.mul measurable_fst }
#align measurable_equiv.shear_div_right MeasurableEquiv.shearDivRight
#align measurable_equiv.shear_sub_right MeasurableEquiv.shearSubRight
variable {G}
namespace MeasureTheory
open Measure
section LeftInvariant
@[to_additive measurePreserving_prod_add
" The shear mapping `(x, y) ↦ (x, x + y)` preserves the measure `μ × ν`. "]
theorem measurePreserving_prod_mul [IsMulLeftInvariant ν] :
MeasurePreserving (fun z : G × G => (z.1, z.1 * z.2)) (μ.prod ν) (μ.prod ν) :=
(MeasurePreserving.id μ).skew_product measurable_mul <|
Filter.eventually_of_forall <| map_mul_left_eq_self ν
#align measure_theory.measure_preserving_prod_mul MeasureTheory.measurePreserving_prod_mul
#align measure_theory.measure_preserving_prod_add MeasureTheory.measurePreserving_prod_add
@[to_additive measurePreserving_prod_add_swap
" The map `(x, y) ↦ (y, y + x)` sends the measure `μ × ν` to `ν × μ`. "]
theorem measurePreserving_prod_mul_swap [IsMulLeftInvariant μ] :
MeasurePreserving (fun z : G × G => (z.2, z.2 * z.1)) (μ.prod ν) (ν.prod μ) :=
(measurePreserving_prod_mul ν μ).comp measurePreserving_swap
#align measure_theory.measure_preserving_prod_mul_swap MeasureTheory.measurePreserving_prod_mul_swap
#align measure_theory.measure_preserving_prod_add_swap MeasureTheory.measurePreserving_prod_add_swap
@[to_additive]
theorem measurable_measure_mul_right (hs : MeasurableSet s) :
Measurable fun x => μ ((fun y => y * x) ⁻¹' s) := by
suffices
Measurable fun y =>
μ ((fun x => (x, y)) ⁻¹' ((fun z : G × G => ((1 : G), z.1 * z.2)) ⁻¹' univ ×ˢ s))
by convert this using 1; ext1 x; congr 1 with y : 1; simp
apply measurable_measure_prod_mk_right
apply measurable_const.prod_mk measurable_mul (MeasurableSet.univ.prod hs)
infer_instance
#align measure_theory.measurable_measure_mul_right MeasureTheory.measurable_measure_mul_right
#align measure_theory.measurable_measure_add_right MeasureTheory.measurable_measure_add_right
variable [MeasurableInv G]
@[to_additive measurePreserving_prod_neg_add
"The map `(x, y) ↦ (x, - x + y)` is measure-preserving."]
theorem measurePreserving_prod_inv_mul [IsMulLeftInvariant ν] :
MeasurePreserving (fun z : G × G => (z.1, z.1⁻¹ * z.2)) (μ.prod ν) (μ.prod ν) :=
(measurePreserving_prod_mul μ ν).symm <| MeasurableEquiv.shearMulRight G
#align measure_theory.measure_preserving_prod_inv_mul MeasureTheory.measurePreserving_prod_inv_mul
#align measure_theory.measure_preserving_prod_neg_add MeasureTheory.measurePreserving_prod_neg_add
variable [IsMulLeftInvariant μ]
@[to_additive measurePreserving_prod_neg_add_swap
"The map `(x, y) ↦ (y, - y + x)` sends `μ × ν` to `ν × μ`."]
theorem measurePreserving_prod_inv_mul_swap :
MeasurePreserving (fun z : G × G => (z.2, z.2⁻¹ * z.1)) (μ.prod ν) (ν.prod μ) :=
(measurePreserving_prod_inv_mul ν μ).comp measurePreserving_swap
#align measure_theory.measure_preserving_prod_inv_mul_swap MeasureTheory.measurePreserving_prod_inv_mul_swap
#align measure_theory.measure_preserving_prod_neg_add_swap MeasureTheory.measurePreserving_prod_neg_add_swap
@[to_additive measurePreserving_add_prod_neg
"The map `(x, y) ↦ (y + x, - x)` is measure-preserving."]
theorem measurePreserving_mul_prod_inv [IsMulLeftInvariant ν] :
MeasurePreserving (fun z : G × G => (z.2 * z.1, z.1⁻¹)) (μ.prod ν) (μ.prod ν) := by
convert (measurePreserving_prod_inv_mul_swap ν μ).comp (measurePreserving_prod_mul_swap μ ν)
using 1
ext1 ⟨x, y⟩
simp_rw [Function.comp_apply, mul_inv_rev, inv_mul_cancel_right]
#align measure_theory.measure_preserving_mul_prod_inv MeasureTheory.measurePreserving_mul_prod_inv
#align measure_theory.measure_preserving_add_prod_neg MeasureTheory.measurePreserving_add_prod_neg
@[to_additive]
theorem quasiMeasurePreserving_inv : QuasiMeasurePreserving (Inv.inv : G → G) μ μ := by
refine ⟨measurable_inv, AbsolutelyContinuous.mk fun s hsm hμs => ?_⟩
rw [map_apply measurable_inv hsm, inv_preimage]
have hf : Measurable fun z : G × G => (z.2 * z.1, z.1⁻¹) :=
(measurable_snd.mul measurable_fst).prod_mk measurable_fst.inv
suffices map (fun z : G × G => (z.2 * z.1, z.1⁻¹)) (μ.prod μ) (s⁻¹ ×ˢ s⁻¹) = 0 by
simpa only [(measurePreserving_mul_prod_inv μ μ).map_eq, prod_prod, mul_eq_zero (M₀ := ℝ≥0∞),
or_self_iff] using this
have hsm' : MeasurableSet (s⁻¹ ×ˢ s⁻¹) := hsm.inv.prod hsm.inv
simp_rw [map_apply hf hsm', prod_apply_symm (μ := μ) (ν := μ) (hf hsm'), preimage_preimage,
mk_preimage_prod, inv_preimage, inv_inv, measure_mono_null inter_subset_right hμs,
lintegral_zero]
#align measure_theory.quasi_measure_preserving_inv MeasureTheory.quasiMeasurePreserving_inv
#align measure_theory.quasi_measure_preserving_neg MeasureTheory.quasiMeasurePreserving_neg
@[to_additive]
theorem measure_inv_null : μ s⁻¹ = 0 ↔ μ s = 0 := by
refine ⟨fun hs => ?_, (quasiMeasurePreserving_inv μ).preimage_null⟩
rw [← inv_inv s]
exact (quasiMeasurePreserving_inv μ).preimage_null hs
#align measure_theory.measure_inv_null MeasureTheory.measure_inv_null
#align measure_theory.measure_neg_null MeasureTheory.measure_neg_null
@[to_additive]
theorem inv_absolutelyContinuous : μ.inv ≪ μ :=
(quasiMeasurePreserving_inv μ).absolutelyContinuous
#align measure_theory.inv_absolutely_continuous MeasureTheory.inv_absolutelyContinuous
#align measure_theory.neg_absolutely_continuous MeasureTheory.neg_absolutelyContinuous
@[to_additive]
theorem absolutelyContinuous_inv : μ ≪ μ.inv := by
refine AbsolutelyContinuous.mk fun s _ => ?_
simp_rw [inv_apply μ s, measure_inv_null, imp_self]
#align measure_theory.absolutely_continuous_inv MeasureTheory.absolutelyContinuous_inv
#align measure_theory.absolutely_continuous_neg MeasureTheory.absolutelyContinuous_neg
@[to_additive]
theorem lintegral_lintegral_mul_inv [IsMulLeftInvariant ν] (f : G → G → ℝ≥0∞)
(hf : AEMeasurable (uncurry f) (μ.prod ν)) :
(∫⁻ x, ∫⁻ y, f (y * x) x⁻¹ ∂ν ∂μ) = ∫⁻ x, ∫⁻ y, f x y ∂ν ∂μ := by
have h : Measurable fun z : G × G => (z.2 * z.1, z.1⁻¹) :=
(measurable_snd.mul measurable_fst).prod_mk measurable_fst.inv
have h2f : AEMeasurable (uncurry fun x y => f (y * x) x⁻¹) (μ.prod ν) :=
hf.comp_quasiMeasurePreserving (measurePreserving_mul_prod_inv μ ν).quasiMeasurePreserving
simp_rw [lintegral_lintegral h2f, lintegral_lintegral hf]
conv_rhs => rw [← (measurePreserving_mul_prod_inv μ ν).map_eq]
symm
exact
lintegral_map' (hf.mono' (measurePreserving_mul_prod_inv μ ν).map_eq.absolutelyContinuous)
h.aemeasurable
#align measure_theory.lintegral_lintegral_mul_inv MeasureTheory.lintegral_lintegral_mul_inv
#align measure_theory.lintegral_lintegral_add_neg MeasureTheory.lintegral_lintegral_add_neg
@[to_additive]
theorem measure_mul_right_null (y : G) : μ ((fun x => x * y) ⁻¹' s) = 0 ↔ μ s = 0 :=
calc
μ ((fun x => x * y) ⁻¹' s) = 0 ↔ μ ((fun x => y⁻¹ * x) ⁻¹' s⁻¹)⁻¹ = 0 := by
simp_rw [← inv_preimage, preimage_preimage, mul_inv_rev, inv_inv]
_ ↔ μ s = 0 := by simp only [measure_inv_null μ, measure_preimage_mul]
#align measure_theory.measure_mul_right_null MeasureTheory.measure_mul_right_null
#align measure_theory.measure_add_right_null MeasureTheory.measure_add_right_null
@[to_additive]
theorem measure_mul_right_ne_zero (h2s : μ s ≠ 0) (y : G) : μ ((fun x => x * y) ⁻¹' s) ≠ 0 :=
(not_congr (measure_mul_right_null μ y)).mpr h2s
#align measure_theory.measure_mul_right_ne_zero MeasureTheory.measure_mul_right_ne_zero
#align measure_theory.measure_add_right_ne_zero MeasureTheory.measure_add_right_ne_zero
@[to_additive]
| Mathlib/MeasureTheory/Group/Prod.lean | 230 | 232 | theorem absolutelyContinuous_map_mul_right (g : G) : μ ≪ map (· * g) μ := by |
refine AbsolutelyContinuous.mk fun s hs => ?_
rw [map_apply (measurable_mul_const g) hs, measure_mul_right_null]; exact id
|
import Mathlib.Analysis.SpecialFunctions.Complex.Log
import Mathlib.RingTheory.RootsOfUnity.Basic
#align_import ring_theory.roots_of_unity.complex from "leanprover-community/mathlib"@"7fdeecc0d03cd40f7a165e6cf00a4d2286db599f"
namespace Complex
open Polynomial Real
open scoped Nat Real
| Mathlib/RingTheory/RootsOfUnity/Complex.lean | 33 | 50 | theorem isPrimitiveRoot_exp_of_coprime (i n : ℕ) (h0 : n ≠ 0) (hi : i.Coprime n) :
IsPrimitiveRoot (exp (2 * π * I * (i / n))) n := by |
rw [IsPrimitiveRoot.iff_def]
simp only [← exp_nat_mul, exp_eq_one_iff]
have hn0 : (n : ℂ) ≠ 0 := mod_cast h0
constructor
· use i
field_simp [hn0, mul_comm (i : ℂ), mul_comm (n : ℂ)]
· simp only [hn0, mul_right_comm _ _ ↑n, mul_left_inj' two_pi_I_ne_zero, Ne, not_false_iff,
mul_comm _ (i : ℂ), ← mul_assoc _ (i : ℂ), exists_imp, field_simps]
norm_cast
rintro l k hk
conv_rhs at hk => rw [mul_comm, ← mul_assoc]
have hz : 2 * ↑π * I ≠ 0 := by simp [pi_pos.ne.symm, I_ne_zero]
field_simp [hz] at hk
norm_cast at hk
have : n ∣ i * l := by rw [← Int.natCast_dvd_natCast, hk, mul_comm]; apply dvd_mul_left
exact hi.symm.dvd_of_dvd_mul_left this
|
import Mathlib.Analysis.InnerProductSpace.Rayleigh
import Mathlib.Analysis.InnerProductSpace.PiL2
import Mathlib.Algebra.DirectSum.Decomposition
import Mathlib.LinearAlgebra.Eigenspace.Minpoly
#align_import analysis.inner_product_space.spectrum from "leanprover-community/mathlib"@"6b0169218d01f2837d79ea2784882009a0da1aa1"
variable {𝕜 : Type*} [RCLike 𝕜]
variable {E : Type*} [NormedAddCommGroup E] [InnerProductSpace 𝕜 E]
local notation "⟪" x ", " y "⟫" => @inner 𝕜 E _ x y
open scoped ComplexConjugate
open Module.End
namespace LinearMap
namespace IsSymmetric
variable {T : E →ₗ[𝕜] E} (hT : T.IsSymmetric)
theorem invariant_orthogonalComplement_eigenspace (μ : 𝕜) (v : E) (hv : v ∈ (eigenspace T μ)ᗮ) :
T v ∈ (eigenspace T μ)ᗮ := by
intro w hw
have : T w = (μ : 𝕜) • w := by rwa [mem_eigenspace_iff] at hw
simp [← hT w, this, inner_smul_left, hv w hw]
#align linear_map.is_symmetric.invariant_orthogonal_eigenspace LinearMap.IsSymmetric.invariant_orthogonalComplement_eigenspace
theorem conj_eigenvalue_eq_self {μ : 𝕜} (hμ : HasEigenvalue T μ) : conj μ = μ := by
obtain ⟨v, hv₁, hv₂⟩ := hμ.exists_hasEigenvector
rw [mem_eigenspace_iff] at hv₁
simpa [hv₂, inner_smul_left, inner_smul_right, hv₁] using hT v v
#align linear_map.is_symmetric.conj_eigenvalue_eq_self LinearMap.IsSymmetric.conj_eigenvalue_eq_self
theorem orthogonalFamily_eigenspaces :
OrthogonalFamily 𝕜 (fun μ => eigenspace T μ) fun μ => (eigenspace T μ).subtypeₗᵢ := by
rintro μ ν hμν ⟨v, hv⟩ ⟨w, hw⟩
by_cases hv' : v = 0
· simp [hv']
have H := hT.conj_eigenvalue_eq_self (hasEigenvalue_of_hasEigenvector ⟨hv, hv'⟩)
rw [mem_eigenspace_iff] at hv hw
refine Or.resolve_left ?_ hμν.symm
simpa [inner_smul_left, inner_smul_right, hv, hw, H] using (hT v w).symm
#align linear_map.is_symmetric.orthogonal_family_eigenspaces LinearMap.IsSymmetric.orthogonalFamily_eigenspaces
theorem orthogonalFamily_eigenspaces' :
OrthogonalFamily 𝕜 (fun μ : Eigenvalues T => eigenspace T μ) fun μ =>
(eigenspace T μ).subtypeₗᵢ :=
hT.orthogonalFamily_eigenspaces.comp Subtype.coe_injective
#align linear_map.is_symmetric.orthogonal_family_eigenspaces' LinearMap.IsSymmetric.orthogonalFamily_eigenspaces'
theorem orthogonalComplement_iSup_eigenspaces_invariant ⦃v : E⦄ (hv : v ∈ (⨆ μ, eigenspace T μ)ᗮ) :
T v ∈ (⨆ μ, eigenspace T μ)ᗮ := by
rw [← Submodule.iInf_orthogonal] at hv ⊢
exact T.iInf_invariant hT.invariant_orthogonalComplement_eigenspace v hv
#align linear_map.is_symmetric.orthogonal_supr_eigenspaces_invariant LinearMap.IsSymmetric.orthogonalComplement_iSup_eigenspaces_invariant
theorem orthogonalComplement_iSup_eigenspaces (μ : 𝕜) :
eigenspace (T.restrict hT.orthogonalComplement_iSup_eigenspaces_invariant) μ = ⊥ := by
set p : Submodule 𝕜 E := (⨆ μ, eigenspace T μ)ᗮ
refine eigenspace_restrict_eq_bot hT.orthogonalComplement_iSup_eigenspaces_invariant ?_
have H₂ : eigenspace T μ ⟂ p := (Submodule.isOrtho_orthogonal_right _).mono_left (le_iSup _ _)
exact H₂.disjoint
#align linear_map.is_symmetric.orthogonal_supr_eigenspaces LinearMap.IsSymmetric.orthogonalComplement_iSup_eigenspaces
variable [FiniteDimensional 𝕜 E]
theorem orthogonalComplement_iSup_eigenspaces_eq_bot : (⨆ μ, eigenspace T μ)ᗮ = ⊥ := by
have hT' : IsSymmetric _ :=
hT.restrict_invariant hT.orthogonalComplement_iSup_eigenspaces_invariant
-- a self-adjoint operator on a nontrivial inner product space has an eigenvalue
haveI :=
hT'.subsingleton_of_no_eigenvalue_finiteDimensional hT.orthogonalComplement_iSup_eigenspaces
exact Submodule.eq_bot_of_subsingleton
#align linear_map.is_symmetric.orthogonal_supr_eigenspaces_eq_bot LinearMap.IsSymmetric.orthogonalComplement_iSup_eigenspaces_eq_bot
theorem orthogonalComplement_iSup_eigenspaces_eq_bot' :
(⨆ μ : Eigenvalues T, eigenspace T μ)ᗮ = ⊥ :=
show (⨆ μ : { μ // eigenspace T μ ≠ ⊥ }, eigenspace T μ)ᗮ = ⊥ by
rw [iSup_ne_bot_subtype, hT.orthogonalComplement_iSup_eigenspaces_eq_bot]
#align linear_map.is_symmetric.orthogonal_supr_eigenspaces_eq_bot' LinearMap.IsSymmetric.orthogonalComplement_iSup_eigenspaces_eq_bot'
noncomputable instance directSumDecomposition [hT : Fact T.IsSymmetric] :
DirectSum.Decomposition fun μ : Eigenvalues T => eigenspace T μ :=
haveI h : ∀ μ : Eigenvalues T, CompleteSpace (eigenspace T μ) := fun μ => by infer_instance
hT.out.orthogonalFamily_eigenspaces'.decomposition
(Submodule.orthogonal_eq_bot_iff.mp hT.out.orthogonalComplement_iSup_eigenspaces_eq_bot')
#align linear_map.is_symmetric.direct_sum_decomposition LinearMap.IsSymmetric.directSumDecomposition
theorem directSum_decompose_apply [_hT : Fact T.IsSymmetric] (x : E) (μ : Eigenvalues T) :
DirectSum.decompose (fun μ : Eigenvalues T => eigenspace T μ) x μ =
orthogonalProjection (eigenspace T μ) x :=
rfl
#align linear_map.is_symmetric.direct_sum_decompose_apply LinearMap.IsSymmetric.directSum_decompose_apply
theorem direct_sum_isInternal : DirectSum.IsInternal fun μ : Eigenvalues T => eigenspace T μ :=
hT.orthogonalFamily_eigenspaces'.isInternal_iff.mpr
hT.orthogonalComplement_iSup_eigenspaces_eq_bot'
#align linear_map.is_symmetric.direct_sum_is_internal LinearMap.IsSymmetric.direct_sum_isInternal
section Nonneg
@[simp]
| Mathlib/Analysis/InnerProductSpace/Spectrum.lean | 279 | 281 | theorem inner_product_apply_eigenvector {μ : 𝕜} {v : E} {T : E →ₗ[𝕜] E}
(h : v ∈ Module.End.eigenspace T μ) : ⟪v, T v⟫ = μ * (‖v‖ : 𝕜) ^ 2 := by |
simp only [mem_eigenspace_iff.mp h, inner_smul_right, inner_self_eq_norm_sq_to_K]
|
import Mathlib.Topology.Order.LeftRightNhds
open Set Filter TopologicalSpace Topology Function
open OrderDual (toDual ofDual)
variable {α β γ : Type*}
section OrderTopology
variable [TopologicalSpace α] [TopologicalSpace β] [LinearOrder α] [LinearOrder β] [OrderTopology α]
[OrderTopology β]
theorem IsLUB.frequently_mem {a : α} {s : Set α} (ha : IsLUB s a) (hs : s.Nonempty) :
∃ᶠ x in 𝓝[≤] a, x ∈ s := by
rcases hs with ⟨a', ha'⟩
intro h
rcases (ha.1 ha').eq_or_lt with (rfl | ha'a)
· exact h.self_of_nhdsWithin le_rfl ha'
· rcases (mem_nhdsWithin_Iic_iff_exists_Ioc_subset' ha'a).1 h with ⟨b, hba, hb⟩
rcases ha.exists_between hba with ⟨b', hb's, hb'⟩
exact hb hb' hb's
#align is_lub.frequently_mem IsLUB.frequently_mem
theorem IsLUB.frequently_nhds_mem {a : α} {s : Set α} (ha : IsLUB s a) (hs : s.Nonempty) :
∃ᶠ x in 𝓝 a, x ∈ s :=
(ha.frequently_mem hs).filter_mono inf_le_left
#align is_lub.frequently_nhds_mem IsLUB.frequently_nhds_mem
theorem IsGLB.frequently_mem {a : α} {s : Set α} (ha : IsGLB s a) (hs : s.Nonempty) :
∃ᶠ x in 𝓝[≥] a, x ∈ s :=
IsLUB.frequently_mem (α := αᵒᵈ) ha hs
#align is_glb.frequently_mem IsGLB.frequently_mem
theorem IsGLB.frequently_nhds_mem {a : α} {s : Set α} (ha : IsGLB s a) (hs : s.Nonempty) :
∃ᶠ x in 𝓝 a, x ∈ s :=
(ha.frequently_mem hs).filter_mono inf_le_left
#align is_glb.frequently_nhds_mem IsGLB.frequently_nhds_mem
theorem IsLUB.mem_closure {a : α} {s : Set α} (ha : IsLUB s a) (hs : s.Nonempty) : a ∈ closure s :=
(ha.frequently_nhds_mem hs).mem_closure
#align is_lub.mem_closure IsLUB.mem_closure
theorem IsGLB.mem_closure {a : α} {s : Set α} (ha : IsGLB s a) (hs : s.Nonempty) : a ∈ closure s :=
(ha.frequently_nhds_mem hs).mem_closure
#align is_glb.mem_closure IsGLB.mem_closure
theorem IsLUB.nhdsWithin_neBot {a : α} {s : Set α} (ha : IsLUB s a) (hs : s.Nonempty) :
NeBot (𝓝[s] a) :=
mem_closure_iff_nhdsWithin_neBot.1 (ha.mem_closure hs)
#align is_lub.nhds_within_ne_bot IsLUB.nhdsWithin_neBot
theorem IsGLB.nhdsWithin_neBot : ∀ {a : α} {s : Set α}, IsGLB s a → s.Nonempty → NeBot (𝓝[s] a) :=
IsLUB.nhdsWithin_neBot (α := αᵒᵈ)
#align is_glb.nhds_within_ne_bot IsGLB.nhdsWithin_neBot
theorem isLUB_of_mem_nhds {s : Set α} {a : α} {f : Filter α} (hsa : a ∈ upperBounds s) (hsf : s ∈ f)
[NeBot (f ⊓ 𝓝 a)] : IsLUB s a :=
⟨hsa, fun b hb =>
not_lt.1 fun hba =>
have : s ∩ { a | b < a } ∈ f ⊓ 𝓝 a := inter_mem_inf hsf (IsOpen.mem_nhds (isOpen_lt' _) hba)
let ⟨_x, ⟨hxs, hxb⟩⟩ := Filter.nonempty_of_mem this
have : b < b := lt_of_lt_of_le hxb <| hb hxs
lt_irrefl b this⟩
#align is_lub_of_mem_nhds isLUB_of_mem_nhds
| Mathlib/Topology/Order/IsLUB.lean | 77 | 80 | theorem isLUB_of_mem_closure {s : Set α} {a : α} (hsa : a ∈ upperBounds s) (hsf : a ∈ closure s) :
IsLUB s a := by |
rw [mem_closure_iff_clusterPt, ClusterPt, inf_comm] at hsf
exact isLUB_of_mem_nhds hsa (mem_principal_self s)
|
import Mathlib.Algebra.Homology.ShortComplex.ModuleCat
import Mathlib.RepresentationTheory.GroupCohomology.Basic
import Mathlib.RepresentationTheory.Invariants
universe v u
noncomputable section
open CategoryTheory Limits Representation
variable {k G : Type u} [CommRing k] [Group G] (A : Rep k G)
namespace groupCohomology
section IsCocycle
section
variable {G A : Type*} [Mul G] [AddCommGroup A] [SMul G A]
def IsOneCocycle (f : G → A) : Prop := ∀ g h : G, f (g * h) = g • f h + f g
def IsTwoCocycle (f : G × G → A) : Prop :=
∀ g h j : G, f (g * h, j) + f (g, h) = g • (f (h, j)) + f (g, h * j)
end
section
variable {G A : Type*} [Monoid G] [AddCommGroup A] [MulAction G A]
| Mathlib/RepresentationTheory/GroupCohomology/LowDegree.lean | 401 | 403 | theorem map_one_of_isOneCocycle {f : G → A} (hf : IsOneCocycle f) :
f 1 = 0 := by |
simpa only [mul_one, one_smul, self_eq_add_right] using hf 1 1
|
import Mathlib.LinearAlgebra.Matrix.Gershgorin
import Mathlib.NumberTheory.NumberField.CanonicalEmbedding.ConvexBody
import Mathlib.NumberTheory.NumberField.Units.Basic
import Mathlib.RingTheory.RootsOfUnity.Basic
#align_import number_theory.number_field.units from "leanprover-community/mathlib"@"00f91228655eecdcd3ac97a7fd8dbcb139fe990a"
open scoped NumberField
noncomputable section
open NumberField NumberField.InfinitePlace NumberField.Units BigOperators
variable (K : Type*) [Field K] [NumberField K]
namespace NumberField.Units.dirichletUnitTheorem
open scoped Classical
open Finset
variable {K}
def w₀ : InfinitePlace K := (inferInstance : Nonempty (InfinitePlace K)).some
variable (K)
def logEmbedding : Additive ((𝓞 K)ˣ) →+ ({w : InfinitePlace K // w ≠ w₀} → ℝ) :=
{ toFun := fun x w => mult w.val * Real.log (w.val ↑(Additive.toMul x))
map_zero' := by simp; rfl
map_add' := fun _ _ => by simp [Real.log_mul, mul_add]; rfl }
variable {K}
@[simp]
theorem logEmbedding_component (x : (𝓞 K)ˣ) (w : {w : InfinitePlace K // w ≠ w₀}) :
(logEmbedding K x) w = mult w.val * Real.log (w.val x) := rfl
theorem sum_logEmbedding_component (x : (𝓞 K)ˣ) :
∑ w, logEmbedding K x w = - mult (w₀ : InfinitePlace K) * Real.log (w₀ (x : K)) := by
have h := congr_arg Real.log (prod_eq_abs_norm (x : K))
rw [show |(Algebra.norm ℚ) (x : K)| = 1 from isUnit_iff_norm.mp x.isUnit, Rat.cast_one,
Real.log_one, Real.log_prod] at h
· simp_rw [Real.log_pow] at h
rw [← insert_erase (mem_univ w₀), sum_insert (not_mem_erase w₀ univ), add_comm,
add_eq_zero_iff_eq_neg] at h
convert h using 1
· refine (sum_subtype _ (fun w => ?_) (fun w => (mult w) * (Real.log (w (x : K))))).symm
exact ⟨ne_of_mem_erase, fun h => mem_erase_of_ne_of_mem h (mem_univ w)⟩
· norm_num
· exact fun w _ => pow_ne_zero _ (AbsoluteValue.ne_zero _ (coe_ne_zero x))
theorem mult_log_place_eq_zero {x : (𝓞 K)ˣ} {w : InfinitePlace K} :
mult w * Real.log (w x) = 0 ↔ w x = 1 := by
rw [mul_eq_zero, or_iff_right, Real.log_eq_zero, or_iff_right, or_iff_left]
· linarith [(apply_nonneg _ _ : 0 ≤ w x)]
· simp only [ne_eq, map_eq_zero, coe_ne_zero x, not_false_eq_true]
· refine (ne_of_gt ?_)
rw [mult]; split_ifs <;> norm_num
theorem logEmbedding_eq_zero_iff {x : (𝓞 K)ˣ} :
logEmbedding K x = 0 ↔ x ∈ torsion K := by
rw [mem_torsion]
refine ⟨fun h w => ?_, fun h => ?_⟩
· by_cases hw : w = w₀
· suffices -mult w₀ * Real.log (w₀ (x : K)) = 0 by
rw [neg_mul, neg_eq_zero, ← hw] at this
exact mult_log_place_eq_zero.mp this
rw [← sum_logEmbedding_component, sum_eq_zero]
exact fun w _ => congrFun h w
· exact mult_log_place_eq_zero.mp (congrFun h ⟨w, hw⟩)
· ext w
rw [logEmbedding_component, h w.val, Real.log_one, mul_zero, Pi.zero_apply]
theorem logEmbedding_component_le {r : ℝ} {x : (𝓞 K)ˣ} (hr : 0 ≤ r) (h : ‖logEmbedding K x‖ ≤ r)
(w : {w : InfinitePlace K // w ≠ w₀}) : |logEmbedding K x w| ≤ r := by
lift r to NNReal using hr
simp_rw [Pi.norm_def, NNReal.coe_le_coe, Finset.sup_le_iff, ← NNReal.coe_le_coe] at h
exact h w (mem_univ _)
theorem log_le_of_logEmbedding_le {r : ℝ} {x : (𝓞 K)ˣ} (hr : 0 ≤ r) (h : ‖logEmbedding K x‖ ≤ r)
(w : InfinitePlace K) : |Real.log (w x)| ≤ (Fintype.card (InfinitePlace K)) * r := by
have tool : ∀ x : ℝ, 0 ≤ x → x ≤ mult w * x := fun x hx => by
nth_rw 1 [← one_mul x]
refine mul_le_mul ?_ le_rfl hx ?_
all_goals { rw [mult]; split_ifs <;> norm_num }
by_cases hw : w = w₀
· have hyp := congr_arg (‖·‖) (sum_logEmbedding_component x).symm
replace hyp := (le_of_eq hyp).trans (norm_sum_le _ _)
simp_rw [norm_mul, norm_neg, Real.norm_eq_abs, Nat.abs_cast] at hyp
refine (le_trans ?_ hyp).trans ?_
· rw [← hw]
exact tool _ (abs_nonneg _)
· refine (sum_le_card_nsmul univ _ _
(fun w _ => logEmbedding_component_le hr h w)).trans ?_
rw [nsmul_eq_mul]
refine mul_le_mul ?_ le_rfl hr (Fintype.card (InfinitePlace K)).cast_nonneg
simp [card_univ]
· have hyp := logEmbedding_component_le hr h ⟨w, hw⟩
rw [logEmbedding_component, abs_mul, Nat.abs_cast] at hyp
refine (le_trans ?_ hyp).trans ?_
· exact tool _ (abs_nonneg _)
· nth_rw 1 [← one_mul r]
exact mul_le_mul (Nat.one_le_cast.mpr Fintype.card_pos) (le_of_eq rfl) hr (Nat.cast_nonneg _)
variable (K)
noncomputable def _root_.NumberField.Units.unitLattice :
AddSubgroup ({w : InfinitePlace K // w ≠ w₀} → ℝ) :=
AddSubgroup.map (logEmbedding K) ⊤
theorem unitLattice_inter_ball_finite (r : ℝ) :
((unitLattice K : Set ({ w : InfinitePlace K // w ≠ w₀} → ℝ)) ∩
Metric.closedBall 0 r).Finite := by
obtain hr | hr := lt_or_le r 0
· convert Set.finite_empty
rw [Metric.closedBall_eq_empty.mpr hr]
exact Set.inter_empty _
· suffices {x : (𝓞 K)ˣ | IsIntegral ℤ (x : K) ∧
∀ (φ : K →+* ℂ), ‖φ x‖ ≤ Real.exp ((Fintype.card (InfinitePlace K)) * r)}.Finite by
refine (Set.Finite.image (logEmbedding K) this).subset ?_
rintro _ ⟨⟨x, ⟨_, rfl⟩⟩, hx⟩
refine ⟨x, ⟨x.val.prop, (le_iff_le _ _).mp (fun w => (Real.log_le_iff_le_exp ?_).mp ?_)⟩, rfl⟩
· exact pos_iff.mpr (coe_ne_zero x)
· rw [mem_closedBall_zero_iff] at hx
exact (le_abs_self _).trans (log_le_of_logEmbedding_le hr hx w)
refine Set.Finite.of_finite_image ?_ (coe_injective K).injOn
refine (Embeddings.finite_of_norm_le K ℂ
(Real.exp ((Fintype.card (InfinitePlace K)) * r))).subset ?_
rintro _ ⟨x, ⟨⟨h_int, h_le⟩, rfl⟩⟩
exact ⟨h_int, h_le⟩
section span_top
open NumberField.mixedEmbedding NNReal
variable (w₁ : InfinitePlace K) {B : ℕ} (hB : minkowskiBound K 1 < (convexBodyLTFactor K) * B)
theorem seq_next {x : 𝓞 K} (hx : x ≠ 0) :
∃ y : 𝓞 K, y ≠ 0 ∧
(∀ w, w ≠ w₁ → w y < w x) ∧
|Algebra.norm ℚ (y : K)| ≤ B := by
have hx' := RingOfIntegers.coe_ne_zero_iff.mpr hx
let f : InfinitePlace K → ℝ≥0 :=
fun w => ⟨(w x) / 2, div_nonneg (AbsoluteValue.nonneg _ _) (by norm_num)⟩
suffices ∀ w, w ≠ w₁ → f w ≠ 0 by
obtain ⟨g, h_geqf, h_gprod⟩ := adjust_f K B this
obtain ⟨y, h_ynz, h_yle⟩ := exists_ne_zero_mem_ringOfIntegers_lt (f := g)
(by rw [convexBodyLT_volume]; convert hB; exact congr_arg ((↑): NNReal → ENNReal) h_gprod)
refine ⟨y, h_ynz, fun w hw => (h_geqf w hw ▸ h_yle w).trans ?_, ?_⟩
· rw [← Rat.cast_le (K := ℝ), Rat.cast_natCast]
calc
_ = ∏ w : InfinitePlace K, w (algebraMap _ K y) ^ mult w :=
(prod_eq_abs_norm (algebraMap _ K y)).symm
_ ≤ ∏ w : InfinitePlace K, (g w : ℝ) ^ mult w := by
refine prod_le_prod ?_ ?_
· exact fun _ _ => pow_nonneg (by positivity) _
· exact fun w _ => pow_le_pow_left (by positivity) (le_of_lt (h_yle w)) (mult w)
_ ≤ (B : ℝ) := by
simp_rw [← NNReal.coe_pow, ← NNReal.coe_prod]
exact le_of_eq (congr_arg toReal h_gprod)
· refine div_lt_self ?_ (by norm_num)
exact pos_iff.mpr hx'
intro _ _
rw [ne_eq, Nonneg.mk_eq_zero, div_eq_zero_iff, map_eq_zero, not_or]
exact ⟨hx', by norm_num⟩
def seq : ℕ → { x : 𝓞 K // x ≠ 0 }
| 0 => ⟨1, by norm_num⟩
| n + 1 =>
⟨(seq_next K w₁ hB (seq n).prop).choose, (seq_next K w₁ hB (seq n).prop).choose_spec.1⟩
theorem seq_ne_zero (n : ℕ) : algebraMap (𝓞 K) K (seq K w₁ hB n) ≠ 0 :=
RingOfIntegers.coe_ne_zero_iff.mpr (seq K w₁ hB n).prop
theorem seq_norm_ne_zero (n : ℕ) : Algebra.norm ℤ (seq K w₁ hB n : 𝓞 K) ≠ 0 :=
Algebra.norm_ne_zero_iff.mpr (Subtype.coe_ne_coe.1 (seq_ne_zero K w₁ hB n))
theorem seq_decreasing {n m : ℕ} (h : n < m) (w : InfinitePlace K) (hw : w ≠ w₁) :
w (algebraMap (𝓞 K) K (seq K w₁ hB m)) < w (algebraMap (𝓞 K) K (seq K w₁ hB n)) := by
induction m with
| zero =>
exfalso
exact Nat.not_succ_le_zero n h
| succ m m_ih =>
cases eq_or_lt_of_le (Nat.le_of_lt_succ h) with
| inl hr =>
rw [hr]
exact (seq_next K w₁ hB (seq K w₁ hB m).prop).choose_spec.2.1 w hw
| inr hr =>
refine lt_trans ?_ (m_ih hr)
exact (seq_next K w₁ hB (seq K w₁ hB m).prop).choose_spec.2.1 w hw
theorem seq_norm_le (n : ℕ) :
Int.natAbs (Algebra.norm ℤ (seq K w₁ hB n : 𝓞 K)) ≤ B := by
cases n with
| zero =>
have : 1 ≤ B := by
contrapose! hB
simp only [Nat.lt_one_iff.mp hB, CharP.cast_eq_zero, mul_zero, zero_le]
simp only [ne_eq, seq, map_one, Int.natAbs_one, this]
| succ n =>
rw [← Nat.cast_le (α := ℚ), Int.cast_natAbs, Int.cast_abs, Algebra.coe_norm_int]
exact (seq_next K w₁ hB (seq K w₁ hB n).prop).choose_spec.2.2
theorem exists_unit (w₁ : InfinitePlace K) :
∃ u : (𝓞 K)ˣ, ∀ w : InfinitePlace K, w ≠ w₁ → Real.log (w u) < 0 := by
obtain ⟨B, hB⟩ : ∃ B : ℕ, minkowskiBound K 1 < (convexBodyLTFactor K) * B := by
conv => congr; ext; rw [mul_comm]
exact ENNReal.exists_nat_mul_gt (ENNReal.coe_ne_zero.mpr (convexBodyLTFactor_ne_zero K))
(ne_of_lt (minkowskiBound_lt_top K 1))
rsuffices ⟨n, m, hnm, h⟩ : ∃ n m, n < m ∧
(Ideal.span ({ (seq K w₁ hB n : 𝓞 K) }) = Ideal.span ({ (seq K w₁ hB m : 𝓞 K) }))
· have hu := Ideal.span_singleton_eq_span_singleton.mp h
refine ⟨hu.choose, fun w hw => Real.log_neg ?_ ?_⟩
· exact pos_iff.mpr (coe_ne_zero _)
· calc
_ = w (algebraMap (𝓞 K) K (seq K w₁ hB m) * (algebraMap (𝓞 K) K (seq K w₁ hB n))⁻¹) := by
rw [← congr_arg (algebraMap (𝓞 K) K) hu.choose_spec, mul_comm, map_mul (algebraMap _ _),
← mul_assoc, inv_mul_cancel (seq_ne_zero K w₁ hB n), one_mul]
_ = w (algebraMap (𝓞 K) K (seq K w₁ hB m)) * w (algebraMap (𝓞 K) K (seq K w₁ hB n))⁻¹ :=
_root_.map_mul _ _ _
_ < 1 := by
rw [map_inv₀, mul_inv_lt_iff (pos_iff.mpr (seq_ne_zero K w₁ hB n)), mul_one]
exact seq_decreasing K w₁ hB hnm w hw
refine Set.Finite.exists_lt_map_eq_of_forall_mem
(t := { I : Ideal (𝓞 K) | 1 ≤ Ideal.absNorm I ∧ Ideal.absNorm I ≤ B })
(fun n => ?_) ?_
· rw [Set.mem_setOf_eq, Ideal.absNorm_span_singleton]
refine ⟨?_, seq_norm_le K w₁ hB n⟩
exact Nat.one_le_iff_ne_zero.mpr (Int.natAbs_ne_zero.mpr (seq_norm_ne_zero K w₁ hB n))
· rw [show { I : Ideal (𝓞 K) | 1 ≤ Ideal.absNorm I ∧ Ideal.absNorm I ≤ B } =
(⋃ n ∈ Set.Icc 1 B, { I : Ideal (𝓞 K) | Ideal.absNorm I = n }) by ext; simp]
exact Set.Finite.biUnion (Set.finite_Icc _ _) (fun n hn => Ideal.finite_setOf_absNorm_eq hn.1)
| Mathlib/NumberTheory/NumberField/Units/DirichletTheorem.lean | 310 | 337 | theorem unitLattice_span_eq_top :
Submodule.span ℝ (unitLattice K : Set ({w : InfinitePlace K // w ≠ w₀} → ℝ)) = ⊤ := by |
refine le_antisymm le_top ?_
-- The standard basis
let B := Pi.basisFun ℝ {w : InfinitePlace K // w ≠ w₀}
-- The image by log_embedding of the family of units constructed above
let v := fun w : { w : InfinitePlace K // w ≠ w₀ } => logEmbedding K (exists_unit K w).choose
-- To prove the result, it is enough to prove that the family `v` is linearly independent
suffices B.det v ≠ 0 by
rw [← isUnit_iff_ne_zero, ← is_basis_iff_det] at this
rw [← this.2]
exact Submodule.span_monotone (fun _ ⟨w, hw⟩ =>
⟨(exists_unit K w).choose, trivial, by rw [← hw]⟩)
rw [Basis.det_apply]
-- We use a specific lemma to prove that this determinant is nonzero
refine det_ne_zero_of_sum_col_lt_diag (fun w => ?_)
simp_rw [Real.norm_eq_abs, B, Basis.coePiBasisFun.toMatrix_eq_transpose, Matrix.transpose_apply]
rw [← sub_pos, sum_congr rfl (fun x hx => abs_of_neg ?_), sum_neg_distrib, sub_neg_eq_add,
sum_erase_eq_sub (mem_univ _), ← add_comm_sub]
· refine add_pos_of_nonneg_of_pos ?_ ?_
· rw [sub_nonneg]
exact le_abs_self _
· rw [sum_logEmbedding_component (exists_unit K w).choose]
refine mul_pos_of_neg_of_neg ?_ ((exists_unit K w).choose_spec _ w.prop.symm)
rw [mult]; split_ifs <;> norm_num
· refine mul_neg_of_pos_of_neg ?_ ((exists_unit K w).choose_spec x ?_)
· rw [mult]; split_ifs <;> norm_num
· exact Subtype.ext_iff_val.not.mp (ne_of_mem_erase hx)
|
import Mathlib.Algebra.Order.Monoid.Unbundled.Pow
import Mathlib.Algebra.Order.Ring.Defs
import Mathlib.Algebra.Order.Ring.InjSurj
import Mathlib.Data.Nat.Cast.Order
import Mathlib.Order.CompleteLatticeIntervals
import Mathlib.Order.LatticeIntervals
#align_import algebra.order.nonneg.ring from "leanprover-community/mathlib"@"422e70f7ce183d2900c586a8cda8381e788a0c62"
open Set
variable {α : Type*}
namespace Nonneg
instance orderBot [Preorder α] {a : α} : OrderBot { x : α // a ≤ x } :=
{ Set.Ici.orderBot with }
#align nonneg.order_bot Nonneg.orderBot
theorem bot_eq [Preorder α] {a : α} : (⊥ : { x : α // a ≤ x }) = ⟨a, le_rfl⟩ :=
rfl
#align nonneg.bot_eq Nonneg.bot_eq
instance noMaxOrder [PartialOrder α] [NoMaxOrder α] {a : α} : NoMaxOrder { x : α // a ≤ x } :=
show NoMaxOrder (Ici a) by infer_instance
#align nonneg.no_max_order Nonneg.noMaxOrder
instance semilatticeSup [SemilatticeSup α] {a : α} : SemilatticeSup { x : α // a ≤ x } :=
Set.Ici.semilatticeSup
#align nonneg.semilattice_sup Nonneg.semilatticeSup
instance semilatticeInf [SemilatticeInf α] {a : α} : SemilatticeInf { x : α // a ≤ x } :=
Set.Ici.semilatticeInf
#align nonneg.semilattice_inf Nonneg.semilatticeInf
instance distribLattice [DistribLattice α] {a : α} : DistribLattice { x : α // a ≤ x } :=
Set.Ici.distribLattice
#align nonneg.distrib_lattice Nonneg.distribLattice
instance instDenselyOrdered [Preorder α] [DenselyOrdered α] {a : α} :
DenselyOrdered { x : α // a ≤ x } :=
show DenselyOrdered (Ici a) from Set.instDenselyOrdered
#align nonneg.densely_ordered Nonneg.instDenselyOrdered
protected noncomputable abbrev conditionallyCompleteLinearOrder [ConditionallyCompleteLinearOrder α]
{a : α} : ConditionallyCompleteLinearOrder { x : α // a ≤ x } :=
{ @ordConnectedSubsetConditionallyCompleteLinearOrder α (Set.Ici a) _ ⟨⟨a, le_rfl⟩⟩ _ with }
#align nonneg.conditionally_complete_linear_order Nonneg.conditionallyCompleteLinearOrder
protected noncomputable abbrev conditionallyCompleteLinearOrderBot
[ConditionallyCompleteLinearOrder α] (a : α) :
ConditionallyCompleteLinearOrderBot { x : α // a ≤ x } :=
{ Nonneg.orderBot, Nonneg.conditionallyCompleteLinearOrder with
csSup_empty := by
rw [@subset_sSup_def α (Set.Ici a) _ _ ⟨⟨a, le_rfl⟩⟩]; simp [bot_eq] }
#align nonneg.conditionally_complete_linear_order_bot Nonneg.conditionallyCompleteLinearOrderBot
instance inhabited [Preorder α] {a : α} : Inhabited { x : α // a ≤ x } :=
⟨⟨a, le_rfl⟩⟩
#align nonneg.inhabited Nonneg.inhabited
instance zero [Zero α] [Preorder α] : Zero { x : α // 0 ≤ x } :=
⟨⟨0, le_rfl⟩⟩
#align nonneg.has_zero Nonneg.zero
@[simp, norm_cast]
protected theorem coe_zero [Zero α] [Preorder α] : ((0 : { x : α // 0 ≤ x }) : α) = 0 :=
rfl
#align nonneg.coe_zero Nonneg.coe_zero
@[simp]
theorem mk_eq_zero [Zero α] [Preorder α] {x : α} (hx : 0 ≤ x) :
(⟨x, hx⟩ : { x : α // 0 ≤ x }) = 0 ↔ x = 0 :=
Subtype.ext_iff
#align nonneg.mk_eq_zero Nonneg.mk_eq_zero
instance add [AddZeroClass α] [Preorder α] [CovariantClass α α (· + ·) (· ≤ ·)] :
Add { x : α // 0 ≤ x } :=
⟨fun x y => ⟨x + y, add_nonneg x.2 y.2⟩⟩
#align nonneg.has_add Nonneg.add
@[simp]
theorem mk_add_mk [AddZeroClass α] [Preorder α] [CovariantClass α α (· + ·) (· ≤ ·)] {x y : α}
(hx : 0 ≤ x) (hy : 0 ≤ y) :
(⟨x, hx⟩ : { x : α // 0 ≤ x }) + ⟨y, hy⟩ = ⟨x + y, add_nonneg hx hy⟩ :=
rfl
#align nonneg.mk_add_mk Nonneg.mk_add_mk
@[simp, norm_cast]
protected theorem coe_add [AddZeroClass α] [Preorder α] [CovariantClass α α (· + ·) (· ≤ ·)]
(a b : { x : α // 0 ≤ x }) : ((a + b : { x : α // 0 ≤ x }) : α) = a + b :=
rfl
#align nonneg.coe_add Nonneg.coe_add
instance nsmul [AddMonoid α] [Preorder α] [CovariantClass α α (· + ·) (· ≤ ·)] :
SMul ℕ { x : α // 0 ≤ x } :=
⟨fun n x => ⟨n • (x : α), nsmul_nonneg x.prop n⟩⟩
#align nonneg.has_nsmul Nonneg.nsmul
@[simp]
theorem nsmul_mk [AddMonoid α] [Preorder α] [CovariantClass α α (· + ·) (· ≤ ·)] (n : ℕ) {x : α}
(hx : 0 ≤ x) : (n • (⟨x, hx⟩ : { x : α // 0 ≤ x })) = ⟨n • x, nsmul_nonneg hx n⟩ :=
rfl
#align nonneg.nsmul_mk Nonneg.nsmul_mk
@[simp, norm_cast]
protected theorem coe_nsmul [AddMonoid α] [Preorder α] [CovariantClass α α (· + ·) (· ≤ ·)]
(n : ℕ) (a : { x : α // 0 ≤ x }) : ((n • a : { x : α // 0 ≤ x }) : α) = n • (a : α) :=
rfl
#align nonneg.coe_nsmul Nonneg.coe_nsmul
instance orderedAddCommMonoid [OrderedAddCommMonoid α] : OrderedAddCommMonoid { x : α // 0 ≤ x } :=
Subtype.coe_injective.orderedAddCommMonoid _ Nonneg.coe_zero (fun _ _ => rfl) fun _ _ => rfl
#align nonneg.ordered_add_comm_monoid Nonneg.orderedAddCommMonoid
instance linearOrderedAddCommMonoid [LinearOrderedAddCommMonoid α] :
LinearOrderedAddCommMonoid { x : α // 0 ≤ x } :=
Subtype.coe_injective.linearOrderedAddCommMonoid _ Nonneg.coe_zero
(fun _ _ => rfl) (fun _ _ => rfl)
(fun _ _ => rfl) fun _ _ => rfl
#align nonneg.linear_ordered_add_comm_monoid Nonneg.linearOrderedAddCommMonoid
instance orderedCancelAddCommMonoid [OrderedCancelAddCommMonoid α] :
OrderedCancelAddCommMonoid { x : α // 0 ≤ x } :=
Subtype.coe_injective.orderedCancelAddCommMonoid _ Nonneg.coe_zero (fun _ _ => rfl) fun _ _ => rfl
#align nonneg.ordered_cancel_add_comm_monoid Nonneg.orderedCancelAddCommMonoid
instance linearOrderedCancelAddCommMonoid [LinearOrderedCancelAddCommMonoid α] :
LinearOrderedCancelAddCommMonoid { x : α // 0 ≤ x } :=
Subtype.coe_injective.linearOrderedCancelAddCommMonoid _ Nonneg.coe_zero
(fun _ _ => rfl) (fun _ _ => rfl)
(fun _ _ => rfl) fun _ _ => rfl
#align nonneg.linear_ordered_cancel_add_comm_monoid Nonneg.linearOrderedCancelAddCommMonoid
def coeAddMonoidHom [OrderedAddCommMonoid α] : { x : α // 0 ≤ x } →+ α :=
{ toFun := ((↑) : { x : α // 0 ≤ x } → α)
map_zero' := Nonneg.coe_zero
map_add' := Nonneg.coe_add }
#align nonneg.coe_add_monoid_hom Nonneg.coeAddMonoidHom
@[norm_cast]
theorem nsmul_coe [OrderedAddCommMonoid α] (n : ℕ) (r : { x : α // 0 ≤ x }) :
↑(n • r) = n • (r : α) :=
Nonneg.coeAddMonoidHom.map_nsmul _ _
#align nonneg.nsmul_coe Nonneg.nsmul_coe
instance one [OrderedSemiring α] : One { x : α // 0 ≤ x } where one := ⟨1, zero_le_one⟩
#align nonneg.has_one Nonneg.one
@[simp, norm_cast]
protected theorem coe_one [OrderedSemiring α] : ((1 : { x : α // 0 ≤ x }) : α) = 1 :=
rfl
#align nonneg.coe_one Nonneg.coe_one
@[simp]
theorem mk_eq_one [OrderedSemiring α] {x : α} (hx : 0 ≤ x) :
(⟨x, hx⟩ : { x : α // 0 ≤ x }) = 1 ↔ x = 1 :=
Subtype.ext_iff
#align nonneg.mk_eq_one Nonneg.mk_eq_one
instance mul [OrderedSemiring α] : Mul { x : α // 0 ≤ x } where
mul x y := ⟨x * y, mul_nonneg x.2 y.2⟩
#align nonneg.has_mul Nonneg.mul
@[simp, norm_cast]
protected theorem coe_mul [OrderedSemiring α] (a b : { x : α // 0 ≤ x }) :
((a * b : { x : α // 0 ≤ x }) : α) = a * b :=
rfl
#align nonneg.coe_mul Nonneg.coe_mul
@[simp]
theorem mk_mul_mk [OrderedSemiring α] {x y : α} (hx : 0 ≤ x) (hy : 0 ≤ y) :
(⟨x, hx⟩ : { x : α // 0 ≤ x }) * ⟨y, hy⟩ = ⟨x * y, mul_nonneg hx hy⟩ :=
rfl
#align nonneg.mk_mul_mk Nonneg.mk_mul_mk
instance addMonoidWithOne [OrderedSemiring α] : AddMonoidWithOne { x : α // 0 ≤ x } :=
{ Nonneg.one,
Nonneg.orderedAddCommMonoid with
natCast := fun n => ⟨n, Nat.cast_nonneg n⟩
natCast_zero := by simp
natCast_succ := fun _ => by ext; simp }
#align nonneg.add_monoid_with_one Nonneg.addMonoidWithOne
@[simp, norm_cast]
protected theorem coe_natCast [OrderedSemiring α] (n : ℕ) : ((↑n : { x : α // 0 ≤ x }) : α) = n :=
rfl
#align nonneg.coe_nat_cast Nonneg.coe_natCast
@[deprecated (since := "2024-04-17")]
alias coe_nat_cast := Nonneg.coe_natCast
@[simp]
theorem mk_natCast [OrderedSemiring α] (n : ℕ) : (⟨n, n.cast_nonneg⟩ : { x : α // 0 ≤ x }) = n :=
rfl
#align nonneg.mk_nat_cast Nonneg.mk_natCast
@[deprecated (since := "2024-04-17")]
alias mk_nat_cast := mk_natCast
instance pow [OrderedSemiring α] : Pow { x : α // 0 ≤ x } ℕ where
pow x n := ⟨(x : α) ^ n, pow_nonneg x.2 n⟩
#align nonneg.has_pow Nonneg.pow
@[simp, norm_cast]
protected theorem coe_pow [OrderedSemiring α] (a : { x : α // 0 ≤ x }) (n : ℕ) :
(↑(a ^ n) : α) = (a : α) ^ n :=
rfl
#align nonneg.coe_pow Nonneg.coe_pow
@[simp]
theorem mk_pow [OrderedSemiring α] {x : α} (hx : 0 ≤ x) (n : ℕ) :
(⟨x, hx⟩ : { x : α // 0 ≤ x }) ^ n = ⟨x ^ n, pow_nonneg hx n⟩ :=
rfl
#align nonneg.mk_pow Nonneg.mk_pow
instance orderedSemiring [OrderedSemiring α] : OrderedSemiring { x : α // 0 ≤ x } :=
Subtype.coe_injective.orderedSemiring _ Nonneg.coe_zero Nonneg.coe_one
(fun _ _ => rfl) (fun _ _=> rfl) (fun _ _ => rfl)
(fun _ _ => rfl) fun _ => rfl
#align nonneg.ordered_semiring Nonneg.orderedSemiring
instance strictOrderedSemiring [StrictOrderedSemiring α] :
StrictOrderedSemiring { x : α // 0 ≤ x } :=
Subtype.coe_injective.strictOrderedSemiring _ Nonneg.coe_zero Nonneg.coe_one
(fun _ _ => rfl) (fun _ _ => rfl)
(fun _ _ => rfl) (fun _ _ => rfl) fun _ => rfl
#align nonneg.strict_ordered_semiring Nonneg.strictOrderedSemiring
instance orderedCommSemiring [OrderedCommSemiring α] : OrderedCommSemiring { x : α // 0 ≤ x } :=
Subtype.coe_injective.orderedCommSemiring _ Nonneg.coe_zero Nonneg.coe_one
(fun _ _ => rfl) (fun _ _ => rfl)
(fun _ _ => rfl) (fun _ _ => rfl) fun _ => rfl
#align nonneg.ordered_comm_semiring Nonneg.orderedCommSemiring
instance strictOrderedCommSemiring [StrictOrderedCommSemiring α] :
StrictOrderedCommSemiring { x : α // 0 ≤ x } :=
Subtype.coe_injective.strictOrderedCommSemiring _ Nonneg.coe_zero Nonneg.coe_one
(fun _ _ => rfl) (fun _ _ => rfl)
(fun _ _ => rfl) (fun _ _ => rfl) fun _ => rfl
#align nonneg.strict_ordered_comm_semiring Nonneg.strictOrderedCommSemiring
-- These prevent noncomputable instances being found, as it does not require `LinearOrder` which
-- is frequently non-computable.
instance monoidWithZero [OrderedSemiring α] : MonoidWithZero { x : α // 0 ≤ x } := by infer_instance
#align nonneg.monoid_with_zero Nonneg.monoidWithZero
instance commMonoidWithZero [OrderedCommSemiring α] : CommMonoidWithZero { x : α // 0 ≤ x } := by
infer_instance
#align nonneg.comm_monoid_with_zero Nonneg.commMonoidWithZero
instance semiring [OrderedSemiring α] : Semiring { x : α // 0 ≤ x } :=
inferInstance
#align nonneg.semiring Nonneg.semiring
instance commSemiring [OrderedCommSemiring α] : CommSemiring { x : α // 0 ≤ x } :=
inferInstance
#align nonneg.comm_semiring Nonneg.commSemiring
instance nontrivial [LinearOrderedSemiring α] : Nontrivial { x : α // 0 ≤ x } :=
⟨⟨0, 1, fun h => zero_ne_one (congr_arg Subtype.val h)⟩⟩
#align nonneg.nontrivial Nonneg.nontrivial
instance linearOrderedSemiring [LinearOrderedSemiring α] :
LinearOrderedSemiring { x : α // 0 ≤ x } :=
Subtype.coe_injective.linearOrderedSemiring _ Nonneg.coe_zero Nonneg.coe_one
(fun _ _ => rfl) (fun _ _ => rfl)
(fun _ _ => rfl) (fun _ _ => rfl) (fun _ => rfl) (fun _ _ => rfl) fun _ _ => rfl
#align nonneg.linear_ordered_semiring Nonneg.linearOrderedSemiring
instance linearOrderedCommMonoidWithZero [LinearOrderedCommRing α] :
LinearOrderedCommMonoidWithZero { x : α // 0 ≤ x } :=
{ Nonneg.linearOrderedSemiring, Nonneg.orderedCommSemiring with
mul_le_mul_left := fun _ _ h c ↦ mul_le_mul_of_nonneg_left h c.prop }
#align nonneg.linear_ordered_comm_monoid_with_zero Nonneg.linearOrderedCommMonoidWithZero
def coeRingHom [OrderedSemiring α] : { x : α // 0 ≤ x } →+* α :=
{ toFun := ((↑) : { x : α // 0 ≤ x } → α)
map_one' := Nonneg.coe_one
map_mul' := Nonneg.coe_mul
map_zero' := Nonneg.coe_zero,
map_add' := Nonneg.coe_add }
#align nonneg.coe_ring_hom Nonneg.coeRingHom
instance canonicallyOrderedAddCommMonoid [OrderedRing α] :
CanonicallyOrderedAddCommMonoid { x : α // 0 ≤ x } :=
{ Nonneg.orderedAddCommMonoid, Nonneg.orderBot with
le_self_add := fun _ b => le_add_of_nonneg_right b.2
exists_add_of_le := fun {a b} h =>
⟨⟨b - a, sub_nonneg_of_le h⟩, Subtype.ext (add_sub_cancel _ _).symm⟩ }
#align nonneg.canonically_ordered_add_monoid Nonneg.canonicallyOrderedAddCommMonoid
instance canonicallyOrderedCommSemiring [OrderedCommRing α] [NoZeroDivisors α] :
CanonicallyOrderedCommSemiring { x : α // 0 ≤ x } :=
{ Nonneg.canonicallyOrderedAddCommMonoid, Nonneg.orderedCommSemiring with
eq_zero_or_eq_zero_of_mul_eq_zero := by
rintro ⟨a, ha⟩ ⟨b, hb⟩
simp only [mk_mul_mk, mk_eq_zero, mul_eq_zero, imp_self]}
#align nonneg.canonically_ordered_comm_semiring Nonneg.canonicallyOrderedCommSemiring
instance canonicallyLinearOrderedAddCommMonoid [LinearOrderedRing α] :
CanonicallyLinearOrderedAddCommMonoid { x : α // 0 ≤ x } :=
{ Subtype.instLinearOrder _, Nonneg.canonicallyOrderedAddCommMonoid with }
#align nonneg.canonically_linear_ordered_add_monoid Nonneg.canonicallyLinearOrderedAddCommMonoid
section LinearOrder
variable [Zero α] [LinearOrder α]
def toNonneg (a : α) : { x : α // 0 ≤ x } :=
⟨max a 0, le_max_right _ _⟩
#align nonneg.to_nonneg Nonneg.toNonneg
@[simp]
theorem coe_toNonneg {a : α} : (toNonneg a : α) = max a 0 :=
rfl
#align nonneg.coe_to_nonneg Nonneg.coe_toNonneg
@[simp]
theorem toNonneg_of_nonneg {a : α} (h : 0 ≤ a) : toNonneg a = ⟨a, h⟩ := by simp [toNonneg, h]
#align nonneg.to_nonneg_of_nonneg Nonneg.toNonneg_of_nonneg
@[simp]
theorem toNonneg_coe {a : { x : α // 0 ≤ x }} : toNonneg (a : α) = a :=
toNonneg_of_nonneg a.2
#align nonneg.to_nonneg_coe Nonneg.toNonneg_coe
@[simp]
theorem toNonneg_le {a : α} {b : { x : α // 0 ≤ x }} : toNonneg a ≤ b ↔ a ≤ b := by
cases' b with b hb
simp [toNonneg, hb]
#align nonneg.to_nonneg_le Nonneg.toNonneg_le
@[simp]
| Mathlib/Algebra/Order/Nonneg/Ring.lean | 377 | 379 | theorem toNonneg_lt {a : { x : α // 0 ≤ x }} {b : α} : a < toNonneg b ↔ ↑a < b := by |
cases' a with a ha
simp [toNonneg, ha.not_lt]
|
import Mathlib.CategoryTheory.Limits.HasLimits
import Mathlib.CategoryTheory.DiscreteCategory
#align_import category_theory.limits.shapes.products from "leanprover-community/mathlib"@"e11bafa5284544728bd3b189942e930e0d4701de"
noncomputable section
universe w w' w₂ w₃ v v₂ u u₂
open CategoryTheory
namespace CategoryTheory.Limits
variable {β : Type w} {α : Type w₂} {γ : Type w₃}
variable {C : Type u} [Category.{v} C]
-- We don't need an analogue of `Pair` (for binary products), `ParallelPair` (for equalizers),
-- or `(Co)span`, since we already have `Discrete.functor`.
abbrev Fan (f : β → C) :=
Cone (Discrete.functor f)
#align category_theory.limits.fan CategoryTheory.Limits.Fan
abbrev Cofan (f : β → C) :=
Cocone (Discrete.functor f)
#align category_theory.limits.cofan CategoryTheory.Limits.Cofan
@[simps! pt π_app]
def Fan.mk {f : β → C} (P : C) (p : ∀ b, P ⟶ f b) : Fan f where
pt := P
π := Discrete.natTrans (fun X => p X.as)
#align category_theory.limits.fan.mk CategoryTheory.Limits.Fan.mk
@[simps! pt ι_app]
def Cofan.mk {f : β → C} (P : C) (p : ∀ b, f b ⟶ P) : Cofan f where
pt := P
ι := Discrete.natTrans (fun X => p X.as)
#align category_theory.limits.cofan.mk CategoryTheory.Limits.Cofan.mk
def Fan.proj {f : β → C} (p : Fan f) (j : β) : p.pt ⟶ f j :=
p.π.app (Discrete.mk j)
#align category_theory.limits.fan.proj CategoryTheory.Limits.Fan.proj
def Cofan.inj {f : β → C} (p : Cofan f) (j : β) : f j ⟶ p.pt :=
p.ι.app (Discrete.mk j)
@[simp]
theorem fan_mk_proj {f : β → C} (P : C) (p : ∀ b, P ⟶ f b) (j : β) : (Fan.mk P p).proj j = p j :=
rfl
#align category_theory.limits.fan_mk_proj CategoryTheory.Limits.fan_mk_proj
@[simp]
theorem cofan_mk_inj {f : β → C} (P : C) (p : ∀ b, f b ⟶ P) (j : β) :
(Cofan.mk P p).inj j = p j :=
rfl
abbrev HasProduct (f : β → C) :=
HasLimit (Discrete.functor f)
#align category_theory.limits.has_product CategoryTheory.Limits.HasProduct
abbrev HasCoproduct (f : β → C) :=
HasColimit (Discrete.functor f)
#align category_theory.limits.has_coproduct CategoryTheory.Limits.HasCoproduct
lemma hasCoproduct_of_equiv_of_iso (f : α → C) (g : β → C)
[HasCoproduct f] (e : β ≃ α) (iso : ∀ j, g j ≅ f (e j)) : HasCoproduct g := by
have : HasColimit ((Discrete.equivalence e).functor ⋙ Discrete.functor f) :=
hasColimit_equivalence_comp _
have α : Discrete.functor g ≅ (Discrete.equivalence e).functor ⋙ Discrete.functor f :=
Discrete.natIso (fun ⟨j⟩ => iso j)
exact hasColimitOfIso α
lemma hasProduct_of_equiv_of_iso (f : α → C) (g : β → C)
[HasProduct f] (e : β ≃ α) (iso : ∀ j, g j ≅ f (e j)) : HasProduct g := by
have : HasLimit ((Discrete.equivalence e).functor ⋙ Discrete.functor f) :=
hasLimitEquivalenceComp _
have α : Discrete.functor g ≅ (Discrete.equivalence e).functor ⋙ Discrete.functor f :=
Discrete.natIso (fun ⟨j⟩ => iso j)
exact hasLimitOfIso α.symm
@[simps]
def mkFanLimit {f : β → C} (t : Fan f) (lift : ∀ s : Fan f, s.pt ⟶ t.pt)
(fac : ∀ (s : Fan f) (j : β), lift s ≫ t.proj j = s.proj j := by aesop_cat)
(uniq : ∀ (s : Fan f) (m : s.pt ⟶ t.pt) (_ : ∀ j : β, m ≫ t.proj j = s.proj j),
m = lift s := by aesop_cat) :
IsLimit t :=
{ lift }
#align category_theory.limits.mk_fan_limit CategoryTheory.Limits.mkFanLimit
def Fan.IsLimit.desc {F : β → C} {c : Fan F} (hc : IsLimit c) {A : C}
(f : ∀ i, A ⟶ F i) : A ⟶ c.pt :=
hc.lift (Fan.mk A f)
@[reassoc (attr := simp)]
lemma Fan.IsLimit.fac {F : β → C} {c : Fan F} (hc : IsLimit c) {A : C}
(f : ∀ i, A ⟶ F i) (i : β) :
Fan.IsLimit.desc hc f ≫ c.proj i = f i :=
hc.fac (Fan.mk A f) ⟨i⟩
lemma Fan.IsLimit.hom_ext {I : Type*} {F : I → C} {c : Fan F} (hc : IsLimit c) {A : C}
(f g : A ⟶ c.pt) (h : ∀ i, f ≫ c.proj i = g ≫ c.proj i) : f = g :=
hc.hom_ext (fun ⟨i⟩ => h i)
@[simps]
def mkCofanColimit {f : β → C} (s : Cofan f) (desc : ∀ t : Cofan f, s.pt ⟶ t.pt)
(fac : ∀ (t : Cofan f) (j : β), s.inj j ≫ desc t = t.inj j := by aesop_cat)
(uniq : ∀ (t : Cofan f) (m : s.pt ⟶ t.pt) (_ : ∀ j : β, s.inj j ≫ m = t.inj j),
m = desc t := by aesop_cat) :
IsColimit s :=
{ desc }
def Cofan.IsColimit.desc {F : β → C} {c : Cofan F} (hc : IsColimit c) {A : C}
(f : ∀ i, F i ⟶ A) : c.pt ⟶ A :=
hc.desc (Cofan.mk A f)
@[reassoc (attr := simp)]
lemma Cofan.IsColimit.fac {F : β → C} {c : Cofan F} (hc : IsColimit c) {A : C}
(f : ∀ i, F i ⟶ A) (i : β) :
c.inj i ≫ Cofan.IsColimit.desc hc f = f i :=
hc.fac (Cofan.mk A f) ⟨i⟩
lemma Cofan.IsColimit.hom_ext {I : Type*} {F : I → C} {c : Cofan F} (hc : IsColimit c) {A : C}
(f g : c.pt ⟶ A) (h : ∀ i, c.inj i ≫ f = c.inj i ≫ g) : f = g :=
hc.hom_ext (fun ⟨i⟩ => h i)
section
variable (C)
abbrev HasProductsOfShape (β : Type v) :=
HasLimitsOfShape.{v} (Discrete β)
#align category_theory.limits.has_products_of_shape CategoryTheory.Limits.HasProductsOfShape
abbrev HasCoproductsOfShape (β : Type v) :=
HasColimitsOfShape.{v} (Discrete β)
#align category_theory.limits.has_coproducts_of_shape CategoryTheory.Limits.HasCoproductsOfShape
end
abbrev piObj (f : β → C) [HasProduct f] :=
limit (Discrete.functor f)
#align category_theory.limits.pi_obj CategoryTheory.Limits.piObj
abbrev sigmaObj (f : β → C) [HasCoproduct f] :=
colimit (Discrete.functor f)
#align category_theory.limits.sigma_obj CategoryTheory.Limits.sigmaObj
notation "∏ᶜ " f:60 => piObj f
notation "∐ " f:60 => sigmaObj f
abbrev Pi.π (f : β → C) [HasProduct f] (b : β) : ∏ᶜ f ⟶ f b :=
limit.π (Discrete.functor f) (Discrete.mk b)
#align category_theory.limits.pi.π CategoryTheory.Limits.Pi.π
abbrev Sigma.ι (f : β → C) [HasCoproduct f] (b : β) : f b ⟶ ∐ f :=
colimit.ι (Discrete.functor f) (Discrete.mk b)
#align category_theory.limits.sigma.ι CategoryTheory.Limits.Sigma.ι
-- porting note (#10688): added the next two lemmas to ease automation; without these lemmas,
-- `limit.hom_ext` would be applied, but the goal would involve terms
-- in `Discrete β` rather than `β` itself
@[ext 1050]
lemma Pi.hom_ext {f : β → C} [HasProduct f] {X : C} (g₁ g₂ : X ⟶ ∏ᶜ f)
(h : ∀ (b : β), g₁ ≫ Pi.π f b = g₂ ≫ Pi.π f b) : g₁ = g₂ :=
limit.hom_ext (fun ⟨j⟩ => h j)
@[ext 1050]
lemma Sigma.hom_ext {f : β → C} [HasCoproduct f] {X : C} (g₁ g₂ : ∐ f ⟶ X)
(h : ∀ (b : β), Sigma.ι f b ≫ g₁ = Sigma.ι f b ≫ g₂) : g₁ = g₂ :=
colimit.hom_ext (fun ⟨j⟩ => h j)
def productIsProduct (f : β → C) [HasProduct f] : IsLimit (Fan.mk _ (Pi.π f)) :=
IsLimit.ofIsoLimit (limit.isLimit (Discrete.functor f)) (Cones.ext (Iso.refl _))
#align category_theory.limits.product_is_product CategoryTheory.Limits.productIsProduct
def coproductIsCoproduct (f : β → C) [HasCoproduct f] : IsColimit (Cofan.mk _ (Sigma.ι f)) :=
IsColimit.ofIsoColimit (colimit.isColimit (Discrete.functor f)) (Cocones.ext (Iso.refl _))
#align category_theory.limits.coproduct_is_coproduct CategoryTheory.Limits.coproductIsCoproduct
-- The `simpNF` linter incorrectly identifies these as simp lemmas that could never apply.
-- https://github.com/leanprover-community/mathlib4/issues/5049
-- They are used by `simp` in `Pi.whiskerEquiv` below.
@[reassoc (attr := simp, nolint simpNF)]
theorem Pi.π_comp_eqToHom {J : Type*} (f : J → C) [HasProduct f] {j j' : J} (w : j = j') :
Pi.π f j ≫ eqToHom (by simp [w]) = Pi.π f j' := by
cases w
simp
-- The `simpNF` linter incorrectly identifies these as simp lemmas that could never apply.
-- https://github.com/leanprover-community/mathlib4/issues/5049
-- They are used by `simp` in `Sigma.whiskerEquiv` below.
@[reassoc (attr := simp, nolint simpNF)]
| Mathlib/CategoryTheory/Limits/Shapes/Products.lean | 254 | 257 | theorem Sigma.eqToHom_comp_ι {J : Type*} (f : J → C) [HasCoproduct f] {j j' : J} (w : j = j') :
eqToHom (by simp [w]) ≫ Sigma.ι f j' = Sigma.ι f j := by |
cases w
simp
|
import Mathlib.Algebra.BigOperators.Module
import Mathlib.Algebra.Order.Field.Basic
import Mathlib.Order.Filter.ModEq
import Mathlib.Analysis.Asymptotics.Asymptotics
import Mathlib.Analysis.SpecificLimits.Basic
import Mathlib.Data.List.TFAE
import Mathlib.Analysis.NormedSpace.Basic
#align_import analysis.specific_limits.normed from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
noncomputable section
open scoped Classical
open Set Function Filter Finset Metric Asymptotics
open scoped Classical
open Topology Nat uniformity NNReal ENNReal
variable {α : Type*} {β : Type*} {ι : Type*}
theorem tendsto_norm_atTop_atTop : Tendsto (norm : ℝ → ℝ) atTop atTop :=
tendsto_abs_atTop_atTop
#align tendsto_norm_at_top_at_top tendsto_norm_atTop_atTop
theorem summable_of_absolute_convergence_real {f : ℕ → ℝ} :
(∃ r, Tendsto (fun n ↦ ∑ i ∈ range n, |f i|) atTop (𝓝 r)) → Summable f
| ⟨r, hr⟩ => by
refine .of_norm ⟨r, (hasSum_iff_tendsto_nat_of_nonneg ?_ _).2 ?_⟩
· exact fun i ↦ norm_nonneg _
· simpa only using hr
#align summable_of_absolute_convergence_real summable_of_absolute_convergence_real
theorem tendsto_norm_zero' {𝕜 : Type*} [NormedAddCommGroup 𝕜] :
Tendsto (norm : 𝕜 → ℝ) (𝓝[≠] 0) (𝓝[>] 0) :=
tendsto_norm_zero.inf <| tendsto_principal_principal.2 fun _ hx ↦ norm_pos_iff.2 hx
#align tendsto_norm_zero' tendsto_norm_zero'
theorem isLittleO_pow_pow_of_lt_left {r₁ r₂ : ℝ} (h₁ : 0 ≤ r₁) (h₂ : r₁ < r₂) :
(fun n : ℕ ↦ r₁ ^ n) =o[atTop] fun n ↦ r₂ ^ n :=
have H : 0 < r₂ := h₁.trans_lt h₂
(isLittleO_of_tendsto fun _ hn ↦ False.elim <| H.ne' <| pow_eq_zero hn) <|
(tendsto_pow_atTop_nhds_zero_of_lt_one
(div_nonneg h₁ (h₁.trans h₂.le)) ((div_lt_one H).2 h₂)).congr fun _ ↦ div_pow _ _ _
#align is_o_pow_pow_of_lt_left isLittleO_pow_pow_of_lt_left
theorem isBigO_pow_pow_of_le_left {r₁ r₂ : ℝ} (h₁ : 0 ≤ r₁) (h₂ : r₁ ≤ r₂) :
(fun n : ℕ ↦ r₁ ^ n) =O[atTop] fun n ↦ r₂ ^ n :=
h₂.eq_or_lt.elim (fun h ↦ h ▸ isBigO_refl _ _) fun h ↦ (isLittleO_pow_pow_of_lt_left h₁ h).isBigO
set_option linter.uppercaseLean3 false in
#align is_O_pow_pow_of_le_left isBigO_pow_pow_of_le_left
theorem isLittleO_pow_pow_of_abs_lt_left {r₁ r₂ : ℝ} (h : |r₁| < |r₂|) :
(fun n : ℕ ↦ r₁ ^ n) =o[atTop] fun n ↦ r₂ ^ n := by
refine (IsLittleO.of_norm_left ?_).of_norm_right
exact (isLittleO_pow_pow_of_lt_left (abs_nonneg r₁) h).congr (pow_abs r₁) (pow_abs r₂)
#align is_o_pow_pow_of_abs_lt_left isLittleO_pow_pow_of_abs_lt_left
open List in
theorem TFAE_exists_lt_isLittleO_pow (f : ℕ → ℝ) (R : ℝ) :
TFAE
[∃ a ∈ Ioo (-R) R, f =o[atTop] (a ^ ·), ∃ a ∈ Ioo 0 R, f =o[atTop] (a ^ ·),
∃ a ∈ Ioo (-R) R, f =O[atTop] (a ^ ·), ∃ a ∈ Ioo 0 R, f =O[atTop] (a ^ ·),
∃ a < R, ∃ C : ℝ, (0 < C ∨ 0 < R) ∧ ∀ n, |f n| ≤ C * a ^ n,
∃ a ∈ Ioo 0 R, ∃ C > 0, ∀ n, |f n| ≤ C * a ^ n, ∃ a < R, ∀ᶠ n in atTop, |f n| ≤ a ^ n,
∃ a ∈ Ioo 0 R, ∀ᶠ n in atTop, |f n| ≤ a ^ n] := by
have A : Ico 0 R ⊆ Ioo (-R) R :=
fun x hx ↦ ⟨(neg_lt_zero.2 (hx.1.trans_lt hx.2)).trans_le hx.1, hx.2⟩
have B : Ioo 0 R ⊆ Ioo (-R) R := Subset.trans Ioo_subset_Ico_self A
-- First we prove that 1-4 are equivalent using 2 → 3 → 4, 1 → 3, and 2 → 1
tfae_have 1 → 3
· exact fun ⟨a, ha, H⟩ ↦ ⟨a, ha, H.isBigO⟩
tfae_have 2 → 1
· exact fun ⟨a, ha, H⟩ ↦ ⟨a, B ha, H⟩
tfae_have 3 → 2
· rintro ⟨a, ha, H⟩
rcases exists_between (abs_lt.2 ha) with ⟨b, hab, hbR⟩
exact ⟨b, ⟨(abs_nonneg a).trans_lt hab, hbR⟩,
H.trans_isLittleO (isLittleO_pow_pow_of_abs_lt_left (hab.trans_le (le_abs_self b)))⟩
tfae_have 2 → 4
· exact fun ⟨a, ha, H⟩ ↦ ⟨a, ha, H.isBigO⟩
tfae_have 4 → 3
· exact fun ⟨a, ha, H⟩ ↦ ⟨a, B ha, H⟩
-- Add 5 and 6 using 4 → 6 → 5 → 3
tfae_have 4 → 6
· rintro ⟨a, ha, H⟩
rcases bound_of_isBigO_nat_atTop H with ⟨C, hC₀, hC⟩
refine ⟨a, ha, C, hC₀, fun n ↦ ?_⟩
simpa only [Real.norm_eq_abs, abs_pow, abs_of_nonneg ha.1.le] using hC (pow_ne_zero n ha.1.ne')
tfae_have 6 → 5
· exact fun ⟨a, ha, C, H₀, H⟩ ↦ ⟨a, ha.2, C, Or.inl H₀, H⟩
tfae_have 5 → 3
· rintro ⟨a, ha, C, h₀, H⟩
rcases sign_cases_of_C_mul_pow_nonneg fun n ↦ (abs_nonneg _).trans (H n) with (rfl | ⟨hC₀, ha₀⟩)
· obtain rfl : f = 0 := by
ext n
simpa using H n
simp only [lt_irrefl, false_or_iff] at h₀
exact ⟨0, ⟨neg_lt_zero.2 h₀, h₀⟩, isBigO_zero _ _⟩
exact ⟨a, A ⟨ha₀, ha⟩,
isBigO_of_le' _ fun n ↦ (H n).trans <| mul_le_mul_of_nonneg_left (le_abs_self _) hC₀.le⟩
-- Add 7 and 8 using 2 → 8 → 7 → 3
tfae_have 2 → 8
· rintro ⟨a, ha, H⟩
refine ⟨a, ha, (H.def zero_lt_one).mono fun n hn ↦ ?_⟩
rwa [Real.norm_eq_abs, Real.norm_eq_abs, one_mul, abs_pow, abs_of_pos ha.1] at hn
tfae_have 8 → 7
· exact fun ⟨a, ha, H⟩ ↦ ⟨a, ha.2, H⟩
tfae_have 7 → 3
· rintro ⟨a, ha, H⟩
have : 0 ≤ a := nonneg_of_eventually_pow_nonneg (H.mono fun n ↦ (abs_nonneg _).trans)
refine ⟨a, A ⟨this, ha⟩, IsBigO.of_bound 1 ?_⟩
simpa only [Real.norm_eq_abs, one_mul, abs_pow, abs_of_nonneg this]
-- Porting note: used to work without explicitly having 6 → 7
tfae_have 6 → 7
· exact fun h ↦ tfae_8_to_7 <| tfae_2_to_8 <| tfae_3_to_2 <| tfae_5_to_3 <| tfae_6_to_5 h
tfae_finish
#align tfae_exists_lt_is_o_pow TFAE_exists_lt_isLittleO_pow
| Mathlib/Analysis/SpecificLimits/Normed.lean | 193 | 208 | theorem isLittleO_pow_const_const_pow_of_one_lt {R : Type*} [NormedRing R] (k : ℕ) {r : ℝ}
(hr : 1 < r) : (fun n ↦ (n : R) ^ k : ℕ → R) =o[atTop] fun n ↦ r ^ n := by |
have : Tendsto (fun x : ℝ ↦ x ^ k) (𝓝[>] 1) (𝓝 1) :=
((continuous_id.pow k).tendsto' (1 : ℝ) 1 (one_pow _)).mono_left inf_le_left
obtain ⟨r' : ℝ, hr' : r' ^ k < r, h1 : 1 < r'⟩ :=
((this.eventually (gt_mem_nhds hr)).and self_mem_nhdsWithin).exists
have h0 : 0 ≤ r' := zero_le_one.trans h1.le
suffices (fun n ↦ (n : R) ^ k : ℕ → R) =O[atTop] fun n : ℕ ↦ (r' ^ k) ^ n from
this.trans_isLittleO (isLittleO_pow_pow_of_lt_left (pow_nonneg h0 _) hr')
conv in (r' ^ _) ^ _ => rw [← pow_mul, mul_comm, pow_mul]
suffices ∀ n : ℕ, ‖(n : R)‖ ≤ (r' - 1)⁻¹ * ‖(1 : R)‖ * ‖r' ^ n‖ from
(isBigO_of_le' _ this).pow _
intro n
rw [mul_right_comm]
refine n.norm_cast_le.trans (mul_le_mul_of_nonneg_right ?_ (norm_nonneg _))
simpa [_root_.div_eq_inv_mul, Real.norm_eq_abs, abs_of_nonneg h0] using n.cast_le_pow_div_sub h1
|
import Mathlib.Algebra.Polynomial.AlgebraMap
import Mathlib.Algebra.Polynomial.Identities
import Mathlib.RingTheory.Nilpotent.Lemmas
import Mathlib.RingTheory.Polynomial.Nilpotent
import Mathlib.RingTheory.Polynomial.Tower
open Set Function
noncomputable section
namespace Polynomial
variable {R S : Type*} [CommRing R] [CommRing S] [Algebra R S] (P : R[X]) {x : S}
def newtonMap (x : S) : S :=
x - (Ring.inverse <| aeval x (derivative P)) * aeval x P
theorem newtonMap_apply :
P.newtonMap x = x - (Ring.inverse <| aeval x (derivative P)) * (aeval x P) :=
rfl
variable {P}
| Mathlib/Dynamics/Newton.lean | 53 | 55 | theorem newtonMap_apply_of_isUnit (h : IsUnit <| aeval x (derivative P)) :
P.newtonMap x = x - h.unit⁻¹ * aeval x P := by |
simp [newtonMap_apply, Ring.inverse, h]
|
import Mathlib.Algebra.Algebra.Tower
import Mathlib.Algebra.GroupWithZero.NonZeroDivisors
import Mathlib.GroupTheory.MonoidLocalization
import Mathlib.RingTheory.Ideal.Basic
import Mathlib.GroupTheory.GroupAction.Ring
#align_import ring_theory.localization.basic from "leanprover-community/mathlib"@"b69c9a770ecf37eb21f7b8cf4fa00de3b62694ec"
open Function
section CommSemiring
variable {R : Type*} [CommSemiring R] (M : Submonoid R) (S : Type*) [CommSemiring S]
variable [Algebra R S] {P : Type*} [CommSemiring P]
@[mk_iff] class IsLocalization : Prop where
-- Porting note: add ' to fields, and made new versions of these with either `S` or `M` explicit.
map_units' : ∀ y : M, IsUnit (algebraMap R S y)
surj' : ∀ z : S, ∃ x : R × M, z * algebraMap R S x.2 = algebraMap R S x.1
exists_of_eq : ∀ {x y}, algebraMap R S x = algebraMap R S y → ∃ c : M, ↑c * x = ↑c * y
#align is_localization IsLocalization
variable {M}
namespace IsLocalization
section IsLocalization
variable [IsLocalization M S]
section
@[inherit_doc IsLocalization.map_units']
theorem map_units : ∀ y : M, IsUnit (algebraMap R S y) :=
IsLocalization.map_units'
variable (M) {S}
@[inherit_doc IsLocalization.surj']
theorem surj : ∀ z : S, ∃ x : R × M, z * algebraMap R S x.2 = algebraMap R S x.1 :=
IsLocalization.surj'
variable (S)
@[inherit_doc IsLocalization.exists_of_eq]
theorem eq_iff_exists {x y} : algebraMap R S x = algebraMap R S y ↔ ∃ c : M, ↑c * x = ↑c * y :=
Iff.intro IsLocalization.exists_of_eq fun ⟨c, h⟩ ↦ by
apply_fun algebraMap R S at h
rw [map_mul, map_mul] at h
exact (IsLocalization.map_units S c).mul_right_inj.mp h
variable {S}
theorem of_le (N : Submonoid R) (h₁ : M ≤ N) (h₂ : ∀ r ∈ N, IsUnit (algebraMap R S r)) :
IsLocalization N S where
map_units' r := h₂ r r.2
surj' s :=
have ⟨⟨x, y, hy⟩, H⟩ := IsLocalization.surj M s
⟨⟨x, y, h₁ hy⟩, H⟩
exists_of_eq {x y} := by
rw [IsLocalization.eq_iff_exists M]
rintro ⟨c, hc⟩
exact ⟨⟨c, h₁ c.2⟩, hc⟩
#align is_localization.of_le IsLocalization.of_le
variable (S)
@[simps]
def toLocalizationWithZeroMap : Submonoid.LocalizationWithZeroMap M S where
__ := algebraMap R S
toFun := algebraMap R S
map_units' := IsLocalization.map_units _
surj' := IsLocalization.surj _
exists_of_eq _ _ := IsLocalization.exists_of_eq
#align is_localization.to_localization_with_zero_map IsLocalization.toLocalizationWithZeroMap
abbrev toLocalizationMap : Submonoid.LocalizationMap M S :=
(toLocalizationWithZeroMap M S).toLocalizationMap
#align is_localization.to_localization_map IsLocalization.toLocalizationMap
@[simp]
theorem toLocalizationMap_toMap : (toLocalizationMap M S).toMap = (algebraMap R S : R →*₀ S) :=
rfl
#align is_localization.to_localization_map_to_map IsLocalization.toLocalizationMap_toMap
theorem toLocalizationMap_toMap_apply (x) : (toLocalizationMap M S).toMap x = algebraMap R S x :=
rfl
#align is_localization.to_localization_map_to_map_apply IsLocalization.toLocalizationMap_toMap_apply
theorem surj₂ : ∀ z w : S, ∃ z' w' : R, ∃ d : M,
(z * algebraMap R S d = algebraMap R S z') ∧ (w * algebraMap R S d = algebraMap R S w') :=
(toLocalizationMap M S).surj₂
end
variable (M) {S}
noncomputable def sec (z : S) : R × M :=
Classical.choose <| IsLocalization.surj _ z
#align is_localization.sec IsLocalization.sec
@[simp]
theorem toLocalizationMap_sec : (toLocalizationMap M S).sec = sec M :=
rfl
#align is_localization.to_localization_map_sec IsLocalization.toLocalizationMap_sec
theorem sec_spec (z : S) :
z * algebraMap R S (IsLocalization.sec M z).2 = algebraMap R S (IsLocalization.sec M z).1 :=
Classical.choose_spec <| IsLocalization.surj _ z
#align is_localization.sec_spec IsLocalization.sec_spec
theorem sec_spec' (z : S) :
algebraMap R S (IsLocalization.sec M z).1 = algebraMap R S (IsLocalization.sec M z).2 * z := by
rw [mul_comm, sec_spec]
#align is_localization.sec_spec' IsLocalization.sec_spec'
variable {M}
theorem subsingleton (h : 0 ∈ M) : Subsingleton S := (toLocalizationMap M S).subsingleton h
theorem map_right_cancel {x y} {c : M} (h : algebraMap R S (c * x) = algebraMap R S (c * y)) :
algebraMap R S x = algebraMap R S y :=
(toLocalizationMap M S).map_right_cancel h
#align is_localization.map_right_cancel IsLocalization.map_right_cancel
theorem map_left_cancel {x y} {c : M} (h : algebraMap R S (x * c) = algebraMap R S (y * c)) :
algebraMap R S x = algebraMap R S y :=
(toLocalizationMap M S).map_left_cancel h
#align is_localization.map_left_cancel IsLocalization.map_left_cancel
theorem eq_zero_of_fst_eq_zero {z x} {y : M} (h : z * algebraMap R S y = algebraMap R S x)
(hx : x = 0) : z = 0 := by
rw [hx, (algebraMap R S).map_zero] at h
exact (IsUnit.mul_left_eq_zero (IsLocalization.map_units S y)).1 h
#align is_localization.eq_zero_of_fst_eq_zero IsLocalization.eq_zero_of_fst_eq_zero
variable (M S)
theorem map_eq_zero_iff (r : R) : algebraMap R S r = 0 ↔ ∃ m : M, ↑m * r = 0 := by
constructor
· intro h
obtain ⟨m, hm⟩ := (IsLocalization.eq_iff_exists M S).mp ((algebraMap R S).map_zero.trans h.symm)
exact ⟨m, by simpa using hm.symm⟩
· rintro ⟨m, hm⟩
rw [← (IsLocalization.map_units S m).mul_right_inj, mul_zero, ← RingHom.map_mul, hm,
RingHom.map_zero]
#align is_localization.map_eq_zero_iff IsLocalization.map_eq_zero_iff
variable {M}
noncomputable def mk' (x : R) (y : M) : S :=
(toLocalizationMap M S).mk' x y
#align is_localization.mk' IsLocalization.mk'
@[simp]
theorem mk'_sec (z : S) : mk' S (IsLocalization.sec M z).1 (IsLocalization.sec M z).2 = z :=
(toLocalizationMap M S).mk'_sec _
#align is_localization.mk'_sec IsLocalization.mk'_sec
theorem mk'_mul (x₁ x₂ : R) (y₁ y₂ : M) : mk' S (x₁ * x₂) (y₁ * y₂) = mk' S x₁ y₁ * mk' S x₂ y₂ :=
(toLocalizationMap M S).mk'_mul _ _ _ _
#align is_localization.mk'_mul IsLocalization.mk'_mul
theorem mk'_one (x) : mk' S x (1 : M) = algebraMap R S x :=
(toLocalizationMap M S).mk'_one _
#align is_localization.mk'_one IsLocalization.mk'_one
@[simp]
theorem mk'_spec (x) (y : M) : mk' S x y * algebraMap R S y = algebraMap R S x :=
(toLocalizationMap M S).mk'_spec _ _
#align is_localization.mk'_spec IsLocalization.mk'_spec
@[simp]
theorem mk'_spec' (x) (y : M) : algebraMap R S y * mk' S x y = algebraMap R S x :=
(toLocalizationMap M S).mk'_spec' _ _
#align is_localization.mk'_spec' IsLocalization.mk'_spec'
@[simp]
theorem mk'_spec_mk (x) (y : R) (hy : y ∈ M) :
mk' S x ⟨y, hy⟩ * algebraMap R S y = algebraMap R S x :=
mk'_spec S x ⟨y, hy⟩
#align is_localization.mk'_spec_mk IsLocalization.mk'_spec_mk
@[simp]
theorem mk'_spec'_mk (x) (y : R) (hy : y ∈ M) :
algebraMap R S y * mk' S x ⟨y, hy⟩ = algebraMap R S x :=
mk'_spec' S x ⟨y, hy⟩
#align is_localization.mk'_spec'_mk IsLocalization.mk'_spec'_mk
variable {S}
theorem eq_mk'_iff_mul_eq {x} {y : M} {z} :
z = mk' S x y ↔ z * algebraMap R S y = algebraMap R S x :=
(toLocalizationMap M S).eq_mk'_iff_mul_eq
#align is_localization.eq_mk'_iff_mul_eq IsLocalization.eq_mk'_iff_mul_eq
theorem mk'_eq_iff_eq_mul {x} {y : M} {z} :
mk' S x y = z ↔ algebraMap R S x = z * algebraMap R S y :=
(toLocalizationMap M S).mk'_eq_iff_eq_mul
#align is_localization.mk'_eq_iff_eq_mul IsLocalization.mk'_eq_iff_eq_mul
theorem mk'_add_eq_iff_add_mul_eq_mul {x} {y : M} {z₁ z₂} :
mk' S x y + z₁ = z₂ ↔ algebraMap R S x + z₁ * algebraMap R S y = z₂ * algebraMap R S y := by
rw [← mk'_spec S x y, ← IsUnit.mul_left_inj (IsLocalization.map_units S y), right_distrib]
#align is_localization.mk'_add_eq_iff_add_mul_eq_mul IsLocalization.mk'_add_eq_iff_add_mul_eq_mul
variable (M)
theorem mk'_surjective (z : S) : ∃ (x : _) (y : M), mk' S x y = z :=
let ⟨r, hr⟩ := IsLocalization.surj _ z
⟨r.1, r.2, (eq_mk'_iff_mul_eq.2 hr).symm⟩
#align is_localization.mk'_surjective IsLocalization.mk'_surjective
variable (S)
noncomputable def fintype' [Fintype R] : Fintype S :=
have := Classical.propDecidable
Fintype.ofSurjective (Function.uncurry <| IsLocalization.mk' S) fun a =>
Prod.exists'.mpr <| IsLocalization.mk'_surjective M a
#align is_localization.fintype' IsLocalization.fintype'
variable {M S}
def uniqueOfZeroMem (h : (0 : R) ∈ M) : Unique S :=
uniqueOfZeroEqOne <| by simpa using IsLocalization.map_units S ⟨0, h⟩
#align is_localization.unique_of_zero_mem IsLocalization.uniqueOfZeroMem
theorem mk'_eq_iff_eq {x₁ x₂} {y₁ y₂ : M} :
mk' S x₁ y₁ = mk' S x₂ y₂ ↔ algebraMap R S (y₂ * x₁) = algebraMap R S (y₁ * x₂) :=
(toLocalizationMap M S).mk'_eq_iff_eq
#align is_localization.mk'_eq_iff_eq IsLocalization.mk'_eq_iff_eq
theorem mk'_eq_iff_eq' {x₁ x₂} {y₁ y₂ : M} :
mk' S x₁ y₁ = mk' S x₂ y₂ ↔ algebraMap R S (x₁ * y₂) = algebraMap R S (x₂ * y₁) :=
(toLocalizationMap M S).mk'_eq_iff_eq'
#align is_localization.mk'_eq_iff_eq' IsLocalization.mk'_eq_iff_eq'
theorem mk'_mem_iff {x} {y : M} {I : Ideal S} : mk' S x y ∈ I ↔ algebraMap R S x ∈ I := by
constructor <;> intro h
· rw [← mk'_spec S x y, mul_comm]
exact I.mul_mem_left ((algebraMap R S) y) h
· rw [← mk'_spec S x y] at h
obtain ⟨b, hb⟩ := isUnit_iff_exists_inv.1 (map_units S y)
have := I.mul_mem_left b h
rwa [mul_comm, mul_assoc, hb, mul_one] at this
#align is_localization.mk'_mem_iff IsLocalization.mk'_mem_iff
protected theorem eq {a₁ b₁} {a₂ b₂ : M} :
mk' S a₁ a₂ = mk' S b₁ b₂ ↔ ∃ c : M, ↑c * (↑b₂ * a₁) = c * (a₂ * b₁) :=
(toLocalizationMap M S).eq
#align is_localization.eq IsLocalization.eq
theorem mk'_eq_zero_iff (x : R) (s : M) : mk' S x s = 0 ↔ ∃ m : M, ↑m * x = 0 := by
rw [← (map_units S s).mul_left_inj, mk'_spec, zero_mul, map_eq_zero_iff M]
#align is_localization.mk'_eq_zero_iff IsLocalization.mk'_eq_zero_iff
@[simp]
| Mathlib/RingTheory/Localization/Basic.lean | 353 | 354 | theorem mk'_zero (s : M) : IsLocalization.mk' S 0 s = 0 := by |
rw [eq_comm, IsLocalization.eq_mk'_iff_mul_eq, zero_mul, map_zero]
|
import Mathlib.Algebra.BigOperators.Fin
import Mathlib.Algebra.MvPolynomial.Rename
import Mathlib.Algebra.MvPolynomial.Degrees
import Mathlib.Algebra.Polynomial.AlgebraMap
import Mathlib.Data.Finsupp.Fin
import Mathlib.Logic.Equiv.Fin
#align_import data.mv_polynomial.equiv from "leanprover-community/mathlib"@"2f5b500a507264de86d666a5f87ddb976e2d8de4"
noncomputable section
open Polynomial Set Function Finsupp AddMonoidAlgebra
universe u v w x
variable {R : Type u} {S₁ : Type v} {S₂ : Type w} {S₃ : Type x}
namespace MvPolynomial
variable {σ : Type*} {a a' a₁ a₂ : R} {e : ℕ} {s : σ →₀ ℕ}
section Equiv
variable (R) [CommSemiring R]
@[simps]
def pUnitAlgEquiv : MvPolynomial PUnit R ≃ₐ[R] R[X] where
toFun := eval₂ Polynomial.C fun _ => Polynomial.X
invFun := Polynomial.eval₂ MvPolynomial.C (X PUnit.unit)
left_inv := by
let f : R[X] →+* MvPolynomial PUnit R := Polynomial.eval₂RingHom MvPolynomial.C (X PUnit.unit)
let g : MvPolynomial PUnit R →+* R[X] := eval₂Hom Polynomial.C fun _ => Polynomial.X
show ∀ p, f.comp g p = p
apply is_id
· ext a
dsimp [f, g]
rw [eval₂_C, Polynomial.eval₂_C]
· rintro ⟨⟩
dsimp [f, g]
rw [eval₂_X, Polynomial.eval₂_X]
right_inv p :=
Polynomial.induction_on p (fun a => by rw [Polynomial.eval₂_C, MvPolynomial.eval₂_C])
(fun p q hp hq => by rw [Polynomial.eval₂_add, MvPolynomial.eval₂_add, hp, hq]) fun p n _ => by
rw [Polynomial.eval₂_mul, Polynomial.eval₂_pow, Polynomial.eval₂_X, Polynomial.eval₂_C,
eval₂_mul, eval₂_C, eval₂_pow, eval₂_X]
map_mul' _ _ := eval₂_mul _ _
map_add' _ _ := eval₂_add _ _
commutes' _ := eval₂_C _ _ _
#align mv_polynomial.punit_alg_equiv MvPolynomial.pUnitAlgEquiv
section
variable (S₁ S₂ S₃)
def sumToIter : MvPolynomial (Sum S₁ S₂) R →+* MvPolynomial S₁ (MvPolynomial S₂ R) :=
eval₂Hom (C.comp C) fun bc => Sum.recOn bc X (C ∘ X)
#align mv_polynomial.sum_to_iter MvPolynomial.sumToIter
@[simp]
theorem sumToIter_C (a : R) : sumToIter R S₁ S₂ (C a) = C (C a) :=
eval₂_C _ _ a
set_option linter.uppercaseLean3 false in
#align mv_polynomial.sum_to_iter_C MvPolynomial.sumToIter_C
@[simp]
theorem sumToIter_Xl (b : S₁) : sumToIter R S₁ S₂ (X (Sum.inl b)) = X b :=
eval₂_X _ _ (Sum.inl b)
set_option linter.uppercaseLean3 false in
#align mv_polynomial.sum_to_iter_Xl MvPolynomial.sumToIter_Xl
@[simp]
theorem sumToIter_Xr (c : S₂) : sumToIter R S₁ S₂ (X (Sum.inr c)) = C (X c) :=
eval₂_X _ _ (Sum.inr c)
set_option linter.uppercaseLean3 false in
#align mv_polynomial.sum_to_iter_Xr MvPolynomial.sumToIter_Xr
def iterToSum : MvPolynomial S₁ (MvPolynomial S₂ R) →+* MvPolynomial (Sum S₁ S₂) R :=
eval₂Hom (eval₂Hom C (X ∘ Sum.inr)) (X ∘ Sum.inl)
#align mv_polynomial.iter_to_sum MvPolynomial.iterToSum
@[simp]
theorem iterToSum_C_C (a : R) : iterToSum R S₁ S₂ (C (C a)) = C a :=
Eq.trans (eval₂_C _ _ (C a)) (eval₂_C _ _ _)
set_option linter.uppercaseLean3 false in
#align mv_polynomial.iter_to_sum_C_C MvPolynomial.iterToSum_C_C
@[simp]
theorem iterToSum_X (b : S₁) : iterToSum R S₁ S₂ (X b) = X (Sum.inl b) :=
eval₂_X _ _ _
set_option linter.uppercaseLean3 false in
#align mv_polynomial.iter_to_sum_X MvPolynomial.iterToSum_X
@[simp]
theorem iterToSum_C_X (c : S₂) : iterToSum R S₁ S₂ (C (X c)) = X (Sum.inr c) :=
Eq.trans (eval₂_C _ _ (X c)) (eval₂_X _ _ _)
set_option linter.uppercaseLean3 false in
#align mv_polynomial.iter_to_sum_C_X MvPolynomial.iterToSum_C_X
variable (σ)
@[simps!]
def isEmptyAlgEquiv [he : IsEmpty σ] : MvPolynomial σ R ≃ₐ[R] R :=
AlgEquiv.ofAlgHom (aeval (IsEmpty.elim he)) (Algebra.ofId _ _)
(by ext)
(by
ext i m
exact IsEmpty.elim' he i)
#align mv_polynomial.is_empty_alg_equiv MvPolynomial.isEmptyAlgEquiv
@[simps!]
def isEmptyRingEquiv [IsEmpty σ] : MvPolynomial σ R ≃+* R :=
(isEmptyAlgEquiv R σ).toRingEquiv
#align mv_polynomial.is_empty_ring_equiv MvPolynomial.isEmptyRingEquiv
variable {σ}
@[simps]
def mvPolynomialEquivMvPolynomial [CommSemiring S₃] (f : MvPolynomial S₁ R →+* MvPolynomial S₂ S₃)
(g : MvPolynomial S₂ S₃ →+* MvPolynomial S₁ R) (hfgC : (f.comp g).comp C = C)
(hfgX : ∀ n, f (g (X n)) = X n) (hgfC : (g.comp f).comp C = C) (hgfX : ∀ n, g (f (X n)) = X n) :
MvPolynomial S₁ R ≃+* MvPolynomial S₂ S₃ where
toFun := f
invFun := g
left_inv := is_id (RingHom.comp _ _) hgfC hgfX
right_inv := is_id (RingHom.comp _ _) hfgC hfgX
map_mul' := f.map_mul
map_add' := f.map_add
#align mv_polynomial.mv_polynomial_equiv_mv_polynomial MvPolynomial.mvPolynomialEquivMvPolynomial
def sumRingEquiv : MvPolynomial (Sum S₁ S₂) R ≃+* MvPolynomial S₁ (MvPolynomial S₂ R) := by
apply mvPolynomialEquivMvPolynomial R (Sum S₁ S₂) _ _ (sumToIter R S₁ S₂) (iterToSum R S₁ S₂)
· refine RingHom.ext (hom_eq_hom _ _ ?hC ?hX)
case hC => ext1; simp only [RingHom.comp_apply, iterToSum_C_C, sumToIter_C]
case hX => intro; simp only [RingHom.comp_apply, iterToSum_C_X, sumToIter_Xr]
· simp [iterToSum_X, sumToIter_Xl]
· ext1; simp only [RingHom.comp_apply, sumToIter_C, iterToSum_C_C]
· rintro ⟨⟩ <;> simp only [sumToIter_Xl, iterToSum_X, sumToIter_Xr, iterToSum_C_X]
#align mv_polynomial.sum_ring_equiv MvPolynomial.sumRingEquiv
@[simps!]
def sumAlgEquiv : MvPolynomial (Sum S₁ S₂) R ≃ₐ[R] MvPolynomial S₁ (MvPolynomial S₂ R) :=
{ sumRingEquiv R S₁ S₂ with
commutes' := by
intro r
have A : algebraMap R (MvPolynomial S₁ (MvPolynomial S₂ R)) r = (C (C r) : _) := rfl
have B : algebraMap R (MvPolynomial (Sum S₁ S₂) R) r = C r := rfl
simp only [sumRingEquiv, mvPolynomialEquivMvPolynomial, Equiv.toFun_as_coe,
Equiv.coe_fn_mk, B, sumToIter_C, A] }
#align mv_polynomial.sum_alg_equiv MvPolynomial.sumAlgEquiv
section
-- this speeds up typeclass search in the lemma below
attribute [local instance] IsScalarTower.right
@[simps!]
def optionEquivLeft : MvPolynomial (Option S₁) R ≃ₐ[R] Polynomial (MvPolynomial S₁ R) :=
AlgEquiv.ofAlgHom (MvPolynomial.aeval fun o => o.elim Polynomial.X fun s => Polynomial.C (X s))
(Polynomial.aevalTower (MvPolynomial.rename some) (X none))
(by ext : 2 <;> simp) (by ext i : 2; cases i <;> simp)
#align mv_polynomial.option_equiv_left MvPolynomial.optionEquivLeft
lemma optionEquivLeft_X_some (x : S₁) : optionEquivLeft R S₁ (X (some x)) = Polynomial.C (X x) := by
simp only [optionEquivLeft_apply, aeval_X]
lemma optionEquivLeft_X_none : optionEquivLeft R S₁ (X none) = Polynomial.X := by
simp only [optionEquivLeft_apply, aeval_X]
lemma optionEquivLeft_C (r : R) : optionEquivLeft R S₁ (C r) = Polynomial.C (C r) := by
simp only [optionEquivLeft_apply, aeval_C, Polynomial.algebraMap_apply, algebraMap_eq]
end
@[simps!]
def optionEquivRight : MvPolynomial (Option S₁) R ≃ₐ[R] MvPolynomial S₁ R[X] :=
AlgEquiv.ofAlgHom (MvPolynomial.aeval fun o => o.elim (C Polynomial.X) X)
(MvPolynomial.aevalTower (Polynomial.aeval (X none)) fun i => X (Option.some i))
(by
ext : 2 <;>
simp only [MvPolynomial.algebraMap_eq, Option.elim, AlgHom.coe_comp, AlgHom.id_comp,
IsScalarTower.coe_toAlgHom', comp_apply, aevalTower_C, Polynomial.aeval_X, aeval_X,
Option.elim', aevalTower_X, AlgHom.coe_id, id, eq_self_iff_true, imp_true_iff])
(by
ext ⟨i⟩ : 2 <;>
simp only [Option.elim, AlgHom.coe_comp, comp_apply, aeval_X, aevalTower_C,
Polynomial.aeval_X, AlgHom.coe_id, id, aevalTower_X])
#align mv_polynomial.option_equiv_right MvPolynomial.optionEquivRight
lemma optionEquivRight_X_some (x : S₁) : optionEquivRight R S₁ (X (some x)) = X x := by
simp only [optionEquivRight_apply, aeval_X]
lemma optionEquivRight_X_none : optionEquivRight R S₁ (X none) = C Polynomial.X := by
simp only [optionEquivRight_apply, aeval_X]
lemma optionEquivRight_C (r : R) : optionEquivRight R S₁ (C r) = C (Polynomial.C r) := by
simp only [optionEquivRight_apply, aeval_C, algebraMap_apply, Polynomial.algebraMap_eq]
variable (n : ℕ)
def finSuccEquiv : MvPolynomial (Fin (n + 1)) R ≃ₐ[R] Polynomial (MvPolynomial (Fin n) R) :=
(renameEquiv R (_root_.finSuccEquiv n)).trans (optionEquivLeft R (Fin n))
#align mv_polynomial.fin_succ_equiv MvPolynomial.finSuccEquiv
theorem finSuccEquiv_eq :
(finSuccEquiv R n : MvPolynomial (Fin (n + 1)) R →+* Polynomial (MvPolynomial (Fin n) R)) =
eval₂Hom (Polynomial.C.comp (C : R →+* MvPolynomial (Fin n) R)) fun i : Fin (n + 1) =>
Fin.cases Polynomial.X (fun k => Polynomial.C (X k)) i := by
ext i : 2
· simp only [finSuccEquiv, optionEquivLeft_apply, aeval_C, AlgEquiv.coe_trans, RingHom.coe_coe,
coe_eval₂Hom, comp_apply, renameEquiv_apply, eval₂_C, RingHom.coe_comp, rename_C]
rfl
· refine Fin.cases ?_ ?_ i <;> simp [finSuccEquiv]
#align mv_polynomial.fin_succ_equiv_eq MvPolynomial.finSuccEquiv_eq
@[simp]
theorem finSuccEquiv_apply (p : MvPolynomial (Fin (n + 1)) R) :
finSuccEquiv R n p =
eval₂Hom (Polynomial.C.comp (C : R →+* MvPolynomial (Fin n) R))
(fun i : Fin (n + 1) => Fin.cases Polynomial.X (fun k => Polynomial.C (X k)) i) p := by
rw [← finSuccEquiv_eq, RingHom.coe_coe]
#align mv_polynomial.fin_succ_equiv_apply MvPolynomial.finSuccEquiv_apply
theorem finSuccEquiv_comp_C_eq_C {R : Type u} [CommSemiring R] (n : ℕ) :
(↑(MvPolynomial.finSuccEquiv R n).symm : Polynomial (MvPolynomial (Fin n) R) →+* _).comp
(Polynomial.C.comp MvPolynomial.C) =
(MvPolynomial.C : R →+* MvPolynomial (Fin n.succ) R) := by
refine RingHom.ext fun x => ?_
rw [RingHom.comp_apply]
refine
(MvPolynomial.finSuccEquiv R n).injective
(Trans.trans ((MvPolynomial.finSuccEquiv R n).apply_symm_apply _) ?_)
simp only [MvPolynomial.finSuccEquiv_apply, MvPolynomial.eval₂Hom_C]
set_option linter.uppercaseLean3 false in
#align mv_polynomial.fin_succ_equiv_comp_C_eq_C MvPolynomial.finSuccEquiv_comp_C_eq_C
variable {n} {R}
theorem finSuccEquiv_X_zero : finSuccEquiv R n (X 0) = Polynomial.X := by simp
set_option linter.uppercaseLean3 false in
#align mv_polynomial.fin_succ_equiv_X_zero MvPolynomial.finSuccEquiv_X_zero
theorem finSuccEquiv_X_succ {j : Fin n} : finSuccEquiv R n (X j.succ) = Polynomial.C (X j) := by
simp
set_option linter.uppercaseLean3 false in
#align mv_polynomial.fin_succ_equiv_X_succ MvPolynomial.finSuccEquiv_X_succ
theorem finSuccEquiv_coeff_coeff (m : Fin n →₀ ℕ) (f : MvPolynomial (Fin (n + 1)) R) (i : ℕ) :
coeff m (Polynomial.coeff (finSuccEquiv R n f) i) = coeff (m.cons i) f := by
induction' f using MvPolynomial.induction_on' with j r p q hp hq generalizing i m
swap
· simp only [(finSuccEquiv R n).map_add, Polynomial.coeff_add, coeff_add, hp, hq]
simp only [finSuccEquiv_apply, coe_eval₂Hom, eval₂_monomial, RingHom.coe_comp, prod_pow,
Polynomial.coeff_C_mul, coeff_C_mul, coeff_monomial, Fin.prod_univ_succ, Fin.cases_zero,
Fin.cases_succ, ← map_prod, ← RingHom.map_pow, Function.comp_apply]
rw [← mul_boole, mul_comm (Polynomial.X ^ j 0), Polynomial.coeff_C_mul_X_pow]; congr 1
obtain rfl | hjmi := eq_or_ne j (m.cons i)
· simpa only [cons_zero, cons_succ, if_pos rfl, monomial_eq, C_1, one_mul, prod_pow] using
coeff_monomial m m (1 : R)
· simp only [hjmi, if_false]
obtain hij | rfl := ne_or_eq i (j 0)
· simp only [hij, if_false, coeff_zero]
simp only [eq_self_iff_true, if_true]
have hmj : m ≠ j.tail := by
rintro rfl
rw [cons_tail] at hjmi
contradiction
simpa only [monomial_eq, C_1, one_mul, prod_pow, Finsupp.tail_apply, if_neg hmj.symm] using
coeff_monomial m j.tail (1 : R)
#align mv_polynomial.fin_succ_equiv_coeff_coeff MvPolynomial.finSuccEquiv_coeff_coeff
theorem eval_eq_eval_mv_eval' (s : Fin n → R) (y : R) (f : MvPolynomial (Fin (n + 1)) R) :
eval (Fin.cons y s : Fin (n + 1) → R) f =
Polynomial.eval y (Polynomial.map (eval s) (finSuccEquiv R n f)) := by
-- turn this into a def `Polynomial.mapAlgHom`
let φ : (MvPolynomial (Fin n) R)[X] →ₐ[R] R[X] :=
{ Polynomial.mapRingHom (eval s) with
commutes' := fun r => by
convert Polynomial.map_C (eval s)
exact (eval_C _).symm }
show
aeval (Fin.cons y s : Fin (n + 1) → R) f =
(Polynomial.aeval y).comp (φ.comp (finSuccEquiv R n).toAlgHom) f
congr 2
apply MvPolynomial.algHom_ext
rw [Fin.forall_fin_succ]
simp only [φ, aeval_X, Fin.cons_zero, AlgEquiv.toAlgHom_eq_coe, AlgHom.coe_comp,
Polynomial.coe_aeval_eq_eval, Polynomial.map_C, AlgHom.coe_mk, RingHom.toFun_eq_coe,
Polynomial.coe_mapRingHom, comp_apply, finSuccEquiv_apply, eval₂Hom_X',
Fin.cases_zero, Polynomial.map_X, Polynomial.eval_X, Fin.cons_succ,
Fin.cases_succ, eval_X, Polynomial.eval_C,
RingHom.coe_mk, MonoidHom.coe_coe, AlgHom.coe_coe, implies_true, and_self,
RingHom.toMonoidHom_eq_coe]
#align mv_polynomial.eval_eq_eval_mv_eval' MvPolynomial.eval_eq_eval_mv_eval'
theorem coeff_eval_eq_eval_coeff (s' : Fin n → R) (f : Polynomial (MvPolynomial (Fin n) R))
(i : ℕ) : Polynomial.coeff (Polynomial.map (eval s') f) i = eval s' (Polynomial.coeff f i) := by
simp only [Polynomial.coeff_map]
#align mv_polynomial.coeff_eval_eq_eval_coeff MvPolynomial.coeff_eval_eq_eval_coeff
theorem support_coeff_finSuccEquiv {f : MvPolynomial (Fin (n + 1)) R} {i : ℕ} {m : Fin n →₀ ℕ} :
m ∈ (Polynomial.coeff ((finSuccEquiv R n) f) i).support ↔ Finsupp.cons i m ∈ f.support := by
apply Iff.intro
· intro h
simpa [← finSuccEquiv_coeff_coeff] using h
· intro h
simpa [mem_support_iff, ← finSuccEquiv_coeff_coeff m f i] using h
#align mv_polynomial.support_coeff_fin_succ_equiv MvPolynomial.support_coeff_finSuccEquiv
lemma totalDegree_coeff_finSuccEquiv_add_le (f : MvPolynomial (Fin (n + 1)) R) (i : ℕ)
(hi : (finSuccEquiv R n f).coeff i ≠ 0) :
totalDegree ((finSuccEquiv R n f).coeff i) + i ≤ totalDegree f := by
have hf'_sup : ((finSuccEquiv R n f).coeff i).support.Nonempty := by
rw [Finset.nonempty_iff_ne_empty, ne_eq, support_eq_empty]
exact hi
-- Let σ be a monomial index of ((finSuccEquiv R n p).coeff i) of maximal total degree
have ⟨σ, hσ1, hσ2⟩ := Finset.exists_mem_eq_sup (support _) hf'_sup
(fun s => Finsupp.sum s fun _ e => e)
-- Then cons i σ is a monomial index of p with total degree equal to the desired bound
let σ' : Fin (n+1) →₀ ℕ := cons i σ
convert le_totalDegree (s := σ') _
· rw [totalDegree, hσ2, sum_cons, add_comm]
· rw [← support_coeff_finSuccEquiv]
exact hσ1
theorem finSuccEquiv_support (f : MvPolynomial (Fin (n + 1)) R) :
(finSuccEquiv R n f).support = Finset.image (fun m : Fin (n + 1) →₀ ℕ => m 0) f.support := by
ext i
rw [Polynomial.mem_support_iff, Finset.mem_image, Finsupp.ne_iff]
constructor
· rintro ⟨m, hm⟩
refine ⟨cons i m, ?_, cons_zero _ _⟩
rw [← support_coeff_finSuccEquiv]
simpa using hm
· rintro ⟨m, h, rfl⟩
refine ⟨tail m, ?_⟩
rwa [← coeff, zero_apply, ← mem_support_iff, support_coeff_finSuccEquiv, cons_tail]
#align mv_polynomial.fin_succ_equiv_support MvPolynomial.finSuccEquiv_support
| Mathlib/Algebra/MvPolynomial/Equiv.lean | 480 | 496 | theorem finSuccEquiv_support' {f : MvPolynomial (Fin (n + 1)) R} {i : ℕ} :
Finset.image (Finsupp.cons i) (Polynomial.coeff ((finSuccEquiv R n) f) i).support =
f.support.filter fun m => m 0 = i := by |
ext m
rw [Finset.mem_filter, Finset.mem_image, mem_support_iff]
conv_lhs =>
congr
ext
rw [mem_support_iff, finSuccEquiv_coeff_coeff, Ne]
constructor
· rintro ⟨m', ⟨h, hm'⟩⟩
simp only [← hm']
exact ⟨h, by rw [cons_zero]⟩
· intro h
use tail m
rw [← h.2, cons_tail]
simp [h.1]
|
import Mathlib.Algebra.BigOperators.Module
import Mathlib.Algebra.Order.Field.Basic
import Mathlib.Order.Filter.ModEq
import Mathlib.Analysis.Asymptotics.Asymptotics
import Mathlib.Analysis.SpecificLimits.Basic
import Mathlib.Data.List.TFAE
import Mathlib.Analysis.NormedSpace.Basic
#align_import analysis.specific_limits.normed from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
noncomputable section
open scoped Classical
open Set Function Filter Finset Metric Asymptotics
open scoped Classical
open Topology Nat uniformity NNReal ENNReal
variable {α : Type*} {β : Type*} {ι : Type*}
theorem tendsto_norm_atTop_atTop : Tendsto (norm : ℝ → ℝ) atTop atTop :=
tendsto_abs_atTop_atTop
#align tendsto_norm_at_top_at_top tendsto_norm_atTop_atTop
theorem summable_of_absolute_convergence_real {f : ℕ → ℝ} :
(∃ r, Tendsto (fun n ↦ ∑ i ∈ range n, |f i|) atTop (𝓝 r)) → Summable f
| ⟨r, hr⟩ => by
refine .of_norm ⟨r, (hasSum_iff_tendsto_nat_of_nonneg ?_ _).2 ?_⟩
· exact fun i ↦ norm_nonneg _
· simpa only using hr
#align summable_of_absolute_convergence_real summable_of_absolute_convergence_real
theorem tendsto_norm_zero' {𝕜 : Type*} [NormedAddCommGroup 𝕜] :
Tendsto (norm : 𝕜 → ℝ) (𝓝[≠] 0) (𝓝[>] 0) :=
tendsto_norm_zero.inf <| tendsto_principal_principal.2 fun _ hx ↦ norm_pos_iff.2 hx
#align tendsto_norm_zero' tendsto_norm_zero'
theorem isLittleO_pow_pow_of_lt_left {r₁ r₂ : ℝ} (h₁ : 0 ≤ r₁) (h₂ : r₁ < r₂) :
(fun n : ℕ ↦ r₁ ^ n) =o[atTop] fun n ↦ r₂ ^ n :=
have H : 0 < r₂ := h₁.trans_lt h₂
(isLittleO_of_tendsto fun _ hn ↦ False.elim <| H.ne' <| pow_eq_zero hn) <|
(tendsto_pow_atTop_nhds_zero_of_lt_one
(div_nonneg h₁ (h₁.trans h₂.le)) ((div_lt_one H).2 h₂)).congr fun _ ↦ div_pow _ _ _
#align is_o_pow_pow_of_lt_left isLittleO_pow_pow_of_lt_left
theorem isBigO_pow_pow_of_le_left {r₁ r₂ : ℝ} (h₁ : 0 ≤ r₁) (h₂ : r₁ ≤ r₂) :
(fun n : ℕ ↦ r₁ ^ n) =O[atTop] fun n ↦ r₂ ^ n :=
h₂.eq_or_lt.elim (fun h ↦ h ▸ isBigO_refl _ _) fun h ↦ (isLittleO_pow_pow_of_lt_left h₁ h).isBigO
set_option linter.uppercaseLean3 false in
#align is_O_pow_pow_of_le_left isBigO_pow_pow_of_le_left
theorem isLittleO_pow_pow_of_abs_lt_left {r₁ r₂ : ℝ} (h : |r₁| < |r₂|) :
(fun n : ℕ ↦ r₁ ^ n) =o[atTop] fun n ↦ r₂ ^ n := by
refine (IsLittleO.of_norm_left ?_).of_norm_right
exact (isLittleO_pow_pow_of_lt_left (abs_nonneg r₁) h).congr (pow_abs r₁) (pow_abs r₂)
#align is_o_pow_pow_of_abs_lt_left isLittleO_pow_pow_of_abs_lt_left
open List in
theorem TFAE_exists_lt_isLittleO_pow (f : ℕ → ℝ) (R : ℝ) :
TFAE
[∃ a ∈ Ioo (-R) R, f =o[atTop] (a ^ ·), ∃ a ∈ Ioo 0 R, f =o[atTop] (a ^ ·),
∃ a ∈ Ioo (-R) R, f =O[atTop] (a ^ ·), ∃ a ∈ Ioo 0 R, f =O[atTop] (a ^ ·),
∃ a < R, ∃ C : ℝ, (0 < C ∨ 0 < R) ∧ ∀ n, |f n| ≤ C * a ^ n,
∃ a ∈ Ioo 0 R, ∃ C > 0, ∀ n, |f n| ≤ C * a ^ n, ∃ a < R, ∀ᶠ n in atTop, |f n| ≤ a ^ n,
∃ a ∈ Ioo 0 R, ∀ᶠ n in atTop, |f n| ≤ a ^ n] := by
have A : Ico 0 R ⊆ Ioo (-R) R :=
fun x hx ↦ ⟨(neg_lt_zero.2 (hx.1.trans_lt hx.2)).trans_le hx.1, hx.2⟩
have B : Ioo 0 R ⊆ Ioo (-R) R := Subset.trans Ioo_subset_Ico_self A
-- First we prove that 1-4 are equivalent using 2 → 3 → 4, 1 → 3, and 2 → 1
tfae_have 1 → 3
· exact fun ⟨a, ha, H⟩ ↦ ⟨a, ha, H.isBigO⟩
tfae_have 2 → 1
· exact fun ⟨a, ha, H⟩ ↦ ⟨a, B ha, H⟩
tfae_have 3 → 2
· rintro ⟨a, ha, H⟩
rcases exists_between (abs_lt.2 ha) with ⟨b, hab, hbR⟩
exact ⟨b, ⟨(abs_nonneg a).trans_lt hab, hbR⟩,
H.trans_isLittleO (isLittleO_pow_pow_of_abs_lt_left (hab.trans_le (le_abs_self b)))⟩
tfae_have 2 → 4
· exact fun ⟨a, ha, H⟩ ↦ ⟨a, ha, H.isBigO⟩
tfae_have 4 → 3
· exact fun ⟨a, ha, H⟩ ↦ ⟨a, B ha, H⟩
-- Add 5 and 6 using 4 → 6 → 5 → 3
tfae_have 4 → 6
· rintro ⟨a, ha, H⟩
rcases bound_of_isBigO_nat_atTop H with ⟨C, hC₀, hC⟩
refine ⟨a, ha, C, hC₀, fun n ↦ ?_⟩
simpa only [Real.norm_eq_abs, abs_pow, abs_of_nonneg ha.1.le] using hC (pow_ne_zero n ha.1.ne')
tfae_have 6 → 5
· exact fun ⟨a, ha, C, H₀, H⟩ ↦ ⟨a, ha.2, C, Or.inl H₀, H⟩
tfae_have 5 → 3
· rintro ⟨a, ha, C, h₀, H⟩
rcases sign_cases_of_C_mul_pow_nonneg fun n ↦ (abs_nonneg _).trans (H n) with (rfl | ⟨hC₀, ha₀⟩)
· obtain rfl : f = 0 := by
ext n
simpa using H n
simp only [lt_irrefl, false_or_iff] at h₀
exact ⟨0, ⟨neg_lt_zero.2 h₀, h₀⟩, isBigO_zero _ _⟩
exact ⟨a, A ⟨ha₀, ha⟩,
isBigO_of_le' _ fun n ↦ (H n).trans <| mul_le_mul_of_nonneg_left (le_abs_self _) hC₀.le⟩
-- Add 7 and 8 using 2 → 8 → 7 → 3
tfae_have 2 → 8
· rintro ⟨a, ha, H⟩
refine ⟨a, ha, (H.def zero_lt_one).mono fun n hn ↦ ?_⟩
rwa [Real.norm_eq_abs, Real.norm_eq_abs, one_mul, abs_pow, abs_of_pos ha.1] at hn
tfae_have 8 → 7
· exact fun ⟨a, ha, H⟩ ↦ ⟨a, ha.2, H⟩
tfae_have 7 → 3
· rintro ⟨a, ha, H⟩
have : 0 ≤ a := nonneg_of_eventually_pow_nonneg (H.mono fun n ↦ (abs_nonneg _).trans)
refine ⟨a, A ⟨this, ha⟩, IsBigO.of_bound 1 ?_⟩
simpa only [Real.norm_eq_abs, one_mul, abs_pow, abs_of_nonneg this]
-- Porting note: used to work without explicitly having 6 → 7
tfae_have 6 → 7
· exact fun h ↦ tfae_8_to_7 <| tfae_2_to_8 <| tfae_3_to_2 <| tfae_5_to_3 <| tfae_6_to_5 h
tfae_finish
#align tfae_exists_lt_is_o_pow TFAE_exists_lt_isLittleO_pow
theorem isLittleO_pow_const_const_pow_of_one_lt {R : Type*} [NormedRing R] (k : ℕ) {r : ℝ}
(hr : 1 < r) : (fun n ↦ (n : R) ^ k : ℕ → R) =o[atTop] fun n ↦ r ^ n := by
have : Tendsto (fun x : ℝ ↦ x ^ k) (𝓝[>] 1) (𝓝 1) :=
((continuous_id.pow k).tendsto' (1 : ℝ) 1 (one_pow _)).mono_left inf_le_left
obtain ⟨r' : ℝ, hr' : r' ^ k < r, h1 : 1 < r'⟩ :=
((this.eventually (gt_mem_nhds hr)).and self_mem_nhdsWithin).exists
have h0 : 0 ≤ r' := zero_le_one.trans h1.le
suffices (fun n ↦ (n : R) ^ k : ℕ → R) =O[atTop] fun n : ℕ ↦ (r' ^ k) ^ n from
this.trans_isLittleO (isLittleO_pow_pow_of_lt_left (pow_nonneg h0 _) hr')
conv in (r' ^ _) ^ _ => rw [← pow_mul, mul_comm, pow_mul]
suffices ∀ n : ℕ, ‖(n : R)‖ ≤ (r' - 1)⁻¹ * ‖(1 : R)‖ * ‖r' ^ n‖ from
(isBigO_of_le' _ this).pow _
intro n
rw [mul_right_comm]
refine n.norm_cast_le.trans (mul_le_mul_of_nonneg_right ?_ (norm_nonneg _))
simpa [_root_.div_eq_inv_mul, Real.norm_eq_abs, abs_of_nonneg h0] using n.cast_le_pow_div_sub h1
#align is_o_pow_const_const_pow_of_one_lt isLittleO_pow_const_const_pow_of_one_lt
theorem isLittleO_coe_const_pow_of_one_lt {R : Type*} [NormedRing R] {r : ℝ} (hr : 1 < r) :
((↑) : ℕ → R) =o[atTop] fun n ↦ r ^ n := by
simpa only [pow_one] using @isLittleO_pow_const_const_pow_of_one_lt R _ 1 _ hr
#align is_o_coe_const_pow_of_one_lt isLittleO_coe_const_pow_of_one_lt
theorem isLittleO_pow_const_mul_const_pow_const_pow_of_norm_lt {R : Type*} [NormedRing R] (k : ℕ)
{r₁ : R} {r₂ : ℝ} (h : ‖r₁‖ < r₂) :
(fun n ↦ (n : R) ^ k * r₁ ^ n : ℕ → R) =o[atTop] fun n ↦ r₂ ^ n := by
by_cases h0 : r₁ = 0
· refine (isLittleO_zero _ _).congr' (mem_atTop_sets.2 <| ⟨1, fun n hn ↦ ?_⟩) EventuallyEq.rfl
simp [zero_pow (one_le_iff_ne_zero.1 hn), h0]
rw [← Ne, ← norm_pos_iff] at h0
have A : (fun n ↦ (n : R) ^ k : ℕ → R) =o[atTop] fun n ↦ (r₂ / ‖r₁‖) ^ n :=
isLittleO_pow_const_const_pow_of_one_lt k ((one_lt_div h0).2 h)
suffices (fun n ↦ r₁ ^ n) =O[atTop] fun n ↦ ‖r₁‖ ^ n by
simpa [div_mul_cancel₀ _ (pow_pos h0 _).ne'] using A.mul_isBigO this
exact IsBigO.of_bound 1 (by simpa using eventually_norm_pow_le r₁)
#align is_o_pow_const_mul_const_pow_const_pow_of_norm_lt isLittleO_pow_const_mul_const_pow_const_pow_of_norm_lt
theorem tendsto_pow_const_div_const_pow_of_one_lt (k : ℕ) {r : ℝ} (hr : 1 < r) :
Tendsto (fun n ↦ (n : ℝ) ^ k / r ^ n : ℕ → ℝ) atTop (𝓝 0) :=
(isLittleO_pow_const_const_pow_of_one_lt k hr).tendsto_div_nhds_zero
#align tendsto_pow_const_div_const_pow_of_one_lt tendsto_pow_const_div_const_pow_of_one_lt
theorem tendsto_pow_const_mul_const_pow_of_abs_lt_one (k : ℕ) {r : ℝ} (hr : |r| < 1) :
Tendsto (fun n ↦ (n : ℝ) ^ k * r ^ n : ℕ → ℝ) atTop (𝓝 0) := by
by_cases h0 : r = 0
· exact tendsto_const_nhds.congr'
(mem_atTop_sets.2 ⟨1, fun n hn ↦ by simp [zero_lt_one.trans_le hn |>.ne', h0]⟩)
have hr' : 1 < |r|⁻¹ := one_lt_inv (abs_pos.2 h0) hr
rw [tendsto_zero_iff_norm_tendsto_zero]
simpa [div_eq_mul_inv] using tendsto_pow_const_div_const_pow_of_one_lt k hr'
#align tendsto_pow_const_mul_const_pow_of_abs_lt_one tendsto_pow_const_mul_const_pow_of_abs_lt_one
theorem tendsto_pow_const_mul_const_pow_of_lt_one (k : ℕ) {r : ℝ} (hr : 0 ≤ r) (h'r : r < 1) :
Tendsto (fun n ↦ (n : ℝ) ^ k * r ^ n : ℕ → ℝ) atTop (𝓝 0) :=
tendsto_pow_const_mul_const_pow_of_abs_lt_one k (abs_lt.2 ⟨neg_one_lt_zero.trans_le hr, h'r⟩)
#align tendsto_pow_const_mul_const_pow_of_lt_one tendsto_pow_const_mul_const_pow_of_lt_one
theorem tendsto_self_mul_const_pow_of_abs_lt_one {r : ℝ} (hr : |r| < 1) :
Tendsto (fun n ↦ n * r ^ n : ℕ → ℝ) atTop (𝓝 0) := by
simpa only [pow_one] using tendsto_pow_const_mul_const_pow_of_abs_lt_one 1 hr
#align tendsto_self_mul_const_pow_of_abs_lt_one tendsto_self_mul_const_pow_of_abs_lt_one
theorem tendsto_self_mul_const_pow_of_lt_one {r : ℝ} (hr : 0 ≤ r) (h'r : r < 1) :
Tendsto (fun n ↦ n * r ^ n : ℕ → ℝ) atTop (𝓝 0) := by
simpa only [pow_one] using tendsto_pow_const_mul_const_pow_of_lt_one 1 hr h'r
#align tendsto_self_mul_const_pow_of_lt_one tendsto_self_mul_const_pow_of_lt_one
theorem tendsto_pow_atTop_nhds_zero_of_norm_lt_one {R : Type*} [NormedRing R] {x : R}
(h : ‖x‖ < 1) :
Tendsto (fun n : ℕ ↦ x ^ n) atTop (𝓝 0) := by
apply squeeze_zero_norm' (eventually_norm_pow_le x)
exact tendsto_pow_atTop_nhds_zero_of_lt_one (norm_nonneg _) h
#align tendsto_pow_at_top_nhds_0_of_norm_lt_1 tendsto_pow_atTop_nhds_zero_of_norm_lt_one
@[deprecated (since := "2024-01-31")]
alias tendsto_pow_atTop_nhds_0_of_norm_lt_1 := tendsto_pow_atTop_nhds_zero_of_norm_lt_one
theorem tendsto_pow_atTop_nhds_zero_of_abs_lt_one {r : ℝ} (h : |r| < 1) :
Tendsto (fun n : ℕ ↦ r ^ n) atTop (𝓝 0) :=
tendsto_pow_atTop_nhds_zero_of_norm_lt_one h
#align tendsto_pow_at_top_nhds_0_of_abs_lt_1 tendsto_pow_atTop_nhds_zero_of_abs_lt_one
@[deprecated (since := "2024-01-31")]
alias tendsto_pow_atTop_nhds_0_of_abs_lt_1 := tendsto_pow_atTop_nhds_zero_of_abs_lt_one
theorem summable_of_ratio_norm_eventually_le {α : Type*} [SeminormedAddCommGroup α]
[CompleteSpace α] {f : ℕ → α} {r : ℝ} (hr₁ : r < 1)
(h : ∀ᶠ n in atTop, ‖f (n + 1)‖ ≤ r * ‖f n‖) : Summable f := by
by_cases hr₀ : 0 ≤ r
· rw [eventually_atTop] at h
rcases h with ⟨N, hN⟩
rw [← @summable_nat_add_iff α _ _ _ _ N]
refine .of_norm_bounded (fun n ↦ ‖f N‖ * r ^ n)
(Summable.mul_left _ <| summable_geometric_of_lt_one hr₀ hr₁) fun n ↦ ?_
simp only
conv_rhs => rw [mul_comm, ← zero_add N]
refine le_geom (u := fun n ↦ ‖f (n + N)‖) hr₀ n fun i _ ↦ ?_
convert hN (i + N) (N.le_add_left i) using 3
ac_rfl
· push_neg at hr₀
refine .of_norm_bounded_eventually_nat 0 summable_zero ?_
filter_upwards [h] with _ hn
by_contra! h
exact not_lt.mpr (norm_nonneg _) (lt_of_le_of_lt hn <| mul_neg_of_neg_of_pos hr₀ h)
#align summable_of_ratio_norm_eventually_le summable_of_ratio_norm_eventually_le
theorem summable_of_ratio_test_tendsto_lt_one {α : Type*} [NormedAddCommGroup α] [CompleteSpace α]
{f : ℕ → α} {l : ℝ} (hl₁ : l < 1) (hf : ∀ᶠ n in atTop, f n ≠ 0)
(h : Tendsto (fun n ↦ ‖f (n + 1)‖ / ‖f n‖) atTop (𝓝 l)) : Summable f := by
rcases exists_between hl₁ with ⟨r, hr₀, hr₁⟩
refine summable_of_ratio_norm_eventually_le hr₁ ?_
filter_upwards [eventually_le_of_tendsto_lt hr₀ h, hf] with _ _ h₁
rwa [← div_le_iff (norm_pos_iff.mpr h₁)]
#align summable_of_ratio_test_tendsto_lt_one summable_of_ratio_test_tendsto_lt_one
| Mathlib/Analysis/SpecificLimits/Normed.lean | 604 | 623 | theorem not_summable_of_ratio_norm_eventually_ge {α : Type*} [SeminormedAddCommGroup α] {f : ℕ → α}
{r : ℝ} (hr : 1 < r) (hf : ∃ᶠ n in atTop, ‖f n‖ ≠ 0)
(h : ∀ᶠ n in atTop, r * ‖f n‖ ≤ ‖f (n + 1)‖) : ¬Summable f := by |
rw [eventually_atTop] at h
rcases h with ⟨N₀, hN₀⟩
rw [frequently_atTop] at hf
rcases hf N₀ with ⟨N, hNN₀ : N₀ ≤ N, hN⟩
rw [← @summable_nat_add_iff α _ _ _ _ N]
refine mt Summable.tendsto_atTop_zero
fun h' ↦ not_tendsto_atTop_of_tendsto_nhds (tendsto_norm_zero.comp h') ?_
convert tendsto_atTop_of_geom_le _ hr _
· refine lt_of_le_of_ne (norm_nonneg _) ?_
intro h''
specialize hN₀ N hNN₀
simp only [comp_apply, zero_add] at h''
exact hN h''.symm
· intro i
dsimp only [comp_apply]
convert hN₀ (i + N) (hNN₀.trans (N.le_add_left i)) using 3
ac_rfl
|
import Mathlib.Analysis.Calculus.Deriv.Basic
import Mathlib.Analysis.Calculus.FDeriv.Mul
import Mathlib.Analysis.Calculus.FDeriv.Add
#align_import analysis.calculus.deriv.mul from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe"
universe u v w
noncomputable section
open scoped Classical Topology Filter ENNReal
open Filter Asymptotics Set
open ContinuousLinearMap (smulRight smulRight_one_eq_iff)
variable {𝕜 : Type u} [NontriviallyNormedField 𝕜]
variable {F : Type v} [NormedAddCommGroup F] [NormedSpace 𝕜 F]
variable {E : Type w} [NormedAddCommGroup E] [NormedSpace 𝕜 E]
variable {G : Type*} [NormedAddCommGroup G] [NormedSpace 𝕜 G]
variable {f f₀ f₁ g : 𝕜 → F}
variable {f' f₀' f₁' g' : F}
variable {x : 𝕜}
variable {s t : Set 𝕜}
variable {L L₁ L₂ : Filter 𝕜}
section Prod
section CLMCompApply
open ContinuousLinearMap
variable {G : Type*} [NormedAddCommGroup G] [NormedSpace 𝕜 G] {c : 𝕜 → F →L[𝕜] G} {c' : F →L[𝕜] G}
{d : 𝕜 → E →L[𝕜] F} {d' : E →L[𝕜] F} {u : 𝕜 → F} {u' : F}
theorem HasStrictDerivAt.clm_comp (hc : HasStrictDerivAt c c' x) (hd : HasStrictDerivAt d d' x) :
HasStrictDerivAt (fun y => (c y).comp (d y)) (c'.comp (d x) + (c x).comp d') x := by
have := (hc.hasStrictFDerivAt.clm_comp hd.hasStrictFDerivAt).hasStrictDerivAt
rwa [add_apply, comp_apply, comp_apply, smulRight_apply, smulRight_apply, one_apply, one_smul,
one_smul, add_comm] at this
#align has_strict_deriv_at.clm_comp HasStrictDerivAt.clm_comp
theorem HasDerivWithinAt.clm_comp (hc : HasDerivWithinAt c c' s x)
(hd : HasDerivWithinAt d d' s x) :
HasDerivWithinAt (fun y => (c y).comp (d y)) (c'.comp (d x) + (c x).comp d') s x := by
have := (hc.hasFDerivWithinAt.clm_comp hd.hasFDerivWithinAt).hasDerivWithinAt
rwa [add_apply, comp_apply, comp_apply, smulRight_apply, smulRight_apply, one_apply, one_smul,
one_smul, add_comm] at this
#align has_deriv_within_at.clm_comp HasDerivWithinAt.clm_comp
theorem HasDerivAt.clm_comp (hc : HasDerivAt c c' x) (hd : HasDerivAt d d' x) :
HasDerivAt (fun y => (c y).comp (d y)) (c'.comp (d x) + (c x).comp d') x := by
rw [← hasDerivWithinAt_univ] at *
exact hc.clm_comp hd
#align has_deriv_at.clm_comp HasDerivAt.clm_comp
theorem derivWithin_clm_comp (hc : DifferentiableWithinAt 𝕜 c s x)
(hd : DifferentiableWithinAt 𝕜 d s x) (hxs : UniqueDiffWithinAt 𝕜 s x) :
derivWithin (fun y => (c y).comp (d y)) s x =
(derivWithin c s x).comp (d x) + (c x).comp (derivWithin d s x) :=
(hc.hasDerivWithinAt.clm_comp hd.hasDerivWithinAt).derivWithin hxs
#align deriv_within_clm_comp derivWithin_clm_comp
theorem deriv_clm_comp (hc : DifferentiableAt 𝕜 c x) (hd : DifferentiableAt 𝕜 d x) :
deriv (fun y => (c y).comp (d y)) x = (deriv c x).comp (d x) + (c x).comp (deriv d x) :=
(hc.hasDerivAt.clm_comp hd.hasDerivAt).deriv
#align deriv_clm_comp deriv_clm_comp
| Mathlib/Analysis/Calculus/Deriv/Mul.lean | 480 | 484 | theorem HasStrictDerivAt.clm_apply (hc : HasStrictDerivAt c c' x) (hu : HasStrictDerivAt u u' x) :
HasStrictDerivAt (fun y => (c y) (u y)) (c' (u x) + c x u') x := by |
have := (hc.hasStrictFDerivAt.clm_apply hu.hasStrictFDerivAt).hasStrictDerivAt
rwa [add_apply, comp_apply, flip_apply, smulRight_apply, smulRight_apply, one_apply, one_smul,
one_smul, add_comm] at this
|
import Mathlib.CategoryTheory.Limits.Shapes.SplitCoequalizer
import Mathlib.CategoryTheory.Limits.Preserves.Basic
#align_import category_theory.limits.preserves.shapes.equalizers from "leanprover-community/mathlib"@"4698e35ca56a0d4fa53aa5639c3364e0a77f4eba"
noncomputable section
universe w v₁ v₂ u₁ u₂
open CategoryTheory CategoryTheory.Category CategoryTheory.Limits
variable {C : Type u₁} [Category.{v₁} C]
variable {D : Type u₂} [Category.{v₂} D]
variable (G : C ⥤ D)
namespace CategoryTheory.Limits
section Equalizers
variable {X Y Z : C} {f g : X ⟶ Y} {h : Z ⟶ X} (w : h ≫ f = h ≫ g)
def isLimitMapConeForkEquiv :
IsLimit (G.mapCone (Fork.ofι h w)) ≃
IsLimit (Fork.ofι (G.map h) (by simp only [← G.map_comp, w]) : Fork (G.map f) (G.map g)) :=
(IsLimit.postcomposeHomEquiv (diagramIsoParallelPair _) _).symm.trans
(IsLimit.equivIsoLimit (Fork.ext (Iso.refl _) (by simp [Fork.ι])))
#align category_theory.limits.is_limit_map_cone_fork_equiv CategoryTheory.Limits.isLimitMapConeForkEquiv
def isLimitForkMapOfIsLimit [PreservesLimit (parallelPair f g) G] (l : IsLimit (Fork.ofι h w)) :
IsLimit (Fork.ofι (G.map h) (by simp only [← G.map_comp, w]) : Fork (G.map f) (G.map g)) :=
isLimitMapConeForkEquiv G w (PreservesLimit.preserves l)
#align category_theory.limits.is_limit_fork_map_of_is_limit CategoryTheory.Limits.isLimitForkMapOfIsLimit
def isLimitOfIsLimitForkMap [ReflectsLimit (parallelPair f g) G]
(l : IsLimit (Fork.ofι (G.map h) (by simp only [← G.map_comp, w]) : Fork (G.map f) (G.map g))) :
IsLimit (Fork.ofι h w) :=
ReflectsLimit.reflects ((isLimitMapConeForkEquiv G w).symm l)
#align category_theory.limits.is_limit_of_is_limit_fork_map CategoryTheory.Limits.isLimitOfIsLimitForkMap
variable (f g) [HasEqualizer f g]
def isLimitOfHasEqualizerOfPreservesLimit [PreservesLimit (parallelPair f g) G] :
IsLimit (Fork.ofι
(G.map (equalizer.ι f g)) (by simp only [← G.map_comp]; rw [equalizer.condition]) :
Fork (G.map f) (G.map g)) :=
isLimitForkMapOfIsLimit G _ (equalizerIsEqualizer f g)
#align category_theory.limits.is_limit_of_has_equalizer_of_preserves_limit CategoryTheory.Limits.isLimitOfHasEqualizerOfPreservesLimit
variable [HasEqualizer (G.map f) (G.map g)]
def PreservesEqualizer.ofIsoComparison [i : IsIso (equalizerComparison f g G)] :
PreservesLimit (parallelPair f g) G := by
apply preservesLimitOfPreservesLimitCone (equalizerIsEqualizer f g)
apply (isLimitMapConeForkEquiv _ _).symm _
refine @IsLimit.ofPointIso _ _ _ _ _ _ _ (limit.isLimit (parallelPair (G.map f) (G.map g))) ?_
apply i
#align category_theory.limits.preserves_equalizer.of_iso_comparison CategoryTheory.Limits.PreservesEqualizer.ofIsoComparison
variable [PreservesLimit (parallelPair f g) G]
def PreservesEqualizer.iso : G.obj (equalizer f g) ≅ equalizer (G.map f) (G.map g) :=
IsLimit.conePointUniqueUpToIso (isLimitOfHasEqualizerOfPreservesLimit G f g) (limit.isLimit _)
#align category_theory.limits.preserves_equalizer.iso CategoryTheory.Limits.PreservesEqualizer.iso
@[simp]
theorem PreservesEqualizer.iso_hom :
(PreservesEqualizer.iso G f g).hom = equalizerComparison f g G :=
rfl
#align category_theory.limits.preserves_equalizer.iso_hom CategoryTheory.Limits.PreservesEqualizer.iso_hom
@[simp]
| Mathlib/CategoryTheory/Limits/Preserves/Shapes/Equalizers.lean | 104 | 108 | theorem PreservesEqualizer.iso_inv_ι :
(PreservesEqualizer.iso G f g).inv ≫ G.map (equalizer.ι f g) =
equalizer.ι (G.map f) (G.map g) := by |
rw [← Iso.cancel_iso_hom_left (PreservesEqualizer.iso G f g), ← Category.assoc, Iso.hom_inv_id]
simp
|
import Batteries.Data.List.Lemmas
import Batteries.Tactic.Classical
import Mathlib.Tactic.TypeStar
import Mathlib.Mathport.Rename
#align_import data.list.tfae from "leanprover-community/mathlib"@"5a3e819569b0f12cbec59d740a2613018e7b8eec"
namespace List
def TFAE (l : List Prop) : Prop :=
∀ x ∈ l, ∀ y ∈ l, x ↔ y
#align list.tfae List.TFAE
theorem tfae_nil : TFAE [] :=
forall_mem_nil _
#align list.tfae_nil List.tfae_nil
@[simp]
theorem tfae_singleton (p) : TFAE [p] := by simp [TFAE, -eq_iff_iff]
#align list.tfae_singleton List.tfae_singleton
theorem tfae_cons_of_mem {a b} {l : List Prop} (h : b ∈ l) : TFAE (a :: l) ↔ (a ↔ b) ∧ TFAE l :=
⟨fun H => ⟨H a (by simp) b (Mem.tail a h),
fun p hp q hq => H _ (Mem.tail a hp) _ (Mem.tail a hq)⟩,
by
rintro ⟨ab, H⟩ p (_ | ⟨_, hp⟩) q (_ | ⟨_, hq⟩)
· rfl
· exact ab.trans (H _ h _ hq)
· exact (ab.trans (H _ h _ hp)).symm
· exact H _ hp _ hq⟩
#align list.tfae_cons_of_mem List.tfae_cons_of_mem
theorem tfae_cons_cons {a b} {l : List Prop} : TFAE (a :: b :: l) ↔ (a ↔ b) ∧ TFAE (b :: l) :=
tfae_cons_of_mem (Mem.head _)
#align list.tfae_cons_cons List.tfae_cons_cons
@[simp]
theorem tfae_cons_self {a} {l : List Prop} : TFAE (a :: a :: l) ↔ TFAE (a :: l) := by
simp [tfae_cons_cons]
theorem tfae_of_forall (b : Prop) (l : List Prop) (h : ∀ a ∈ l, a ↔ b) : TFAE l :=
fun _a₁ h₁ _a₂ h₂ => (h _ h₁).trans (h _ h₂).symm
#align list.tfae_of_forall List.tfae_of_forall
theorem tfae_of_cycle {a b} {l : List Prop} (h_chain : List.Chain (· → ·) a (b :: l))
(h_last : getLastD l b → a) : TFAE (a :: b :: l) := by
induction l generalizing a b with
| nil => simp_all [tfae_cons_cons, iff_def]
| cons c l IH =>
simp only [tfae_cons_cons, getLastD_cons, tfae_singleton, and_true, chain_cons, Chain.nil] at *
rcases h_chain with ⟨ab, ⟨bc, ch⟩⟩
have := IH ⟨bc, ch⟩ (ab ∘ h_last)
exact ⟨⟨ab, h_last ∘ (this.2 c (.head _) _ (getLastD_mem_cons _ _)).1 ∘ bc⟩, this⟩
#align list.tfae_of_cycle List.tfae_of_cycle
theorem TFAE.out {l} (h : TFAE l) (n₁ n₂) {a b} (h₁ : List.get? l n₁ = some a := by rfl)
(h₂ : List.get? l n₂ = some b := by rfl) : a ↔ b :=
h _ (List.get?_mem h₁) _ (List.get?_mem h₂)
#align list.tfae.out List.TFAE.out
theorem forall_tfae {α : Type*} (l : List (α → Prop)) (H : ∀ a : α, (l.map (fun p ↦ p a)).TFAE) :
(l.map (fun p ↦ ∀ a, p a)).TFAE := by
simp only [TFAE, List.forall_mem_map_iff]
intros p₁ hp₁ p₂ hp₂
exact forall_congr' fun a ↦ H a (p₁ a) (mem_map_of_mem (fun p ↦ p a) hp₁)
(p₂ a) (mem_map_of_mem (fun p ↦ p a) hp₂)
theorem exists_tfae {α : Type*} (l : List (α → Prop)) (H : ∀ a : α, (l.map (fun p ↦ p a)).TFAE) :
(l.map (fun p ↦ ∃ a, p a)).TFAE := by
simp only [TFAE, List.forall_mem_map_iff]
intros p₁ hp₁ p₂ hp₂
exact exists_congr fun a ↦ H a (p₁ a) (mem_map_of_mem (fun p ↦ p a) hp₁)
(p₂ a) (mem_map_of_mem (fun p ↦ p a) hp₂)
| Mathlib/Data/List/TFAE.lean | 117 | 120 | theorem tfae_not_iff {l : List Prop} : TFAE (l.map Not) ↔ TFAE l := by |
classical
simp only [TFAE, mem_map, forall_exists_index, and_imp, forall_apply_eq_imp_iff₂,
Decidable.not_iff_not]
|
import Mathlib.Order.Interval.Set.UnorderedInterval
import Mathlib.Algebra.Order.Interval.Set.Monoid
import Mathlib.Data.Set.Pointwise.Basic
import Mathlib.Algebra.Order.Field.Basic
import Mathlib.Algebra.Order.Group.MinMax
#align_import data.set.pointwise.interval from "leanprover-community/mathlib"@"2196ab363eb097c008d4497125e0dde23fb36db2"
open Interval Pointwise
variable {α : Type*}
namespace Set
section OrderedAddCommGroup
variable [OrderedAddCommGroup α] (a b c : α)
@[simp]
theorem preimage_const_add_Ici : (fun x => a + x) ⁻¹' Ici b = Ici (b - a) :=
ext fun _x => sub_le_iff_le_add'.symm
#align set.preimage_const_add_Ici Set.preimage_const_add_Ici
@[simp]
theorem preimage_const_add_Ioi : (fun x => a + x) ⁻¹' Ioi b = Ioi (b - a) :=
ext fun _x => sub_lt_iff_lt_add'.symm
#align set.preimage_const_add_Ioi Set.preimage_const_add_Ioi
@[simp]
theorem preimage_const_add_Iic : (fun x => a + x) ⁻¹' Iic b = Iic (b - a) :=
ext fun _x => le_sub_iff_add_le'.symm
#align set.preimage_const_add_Iic Set.preimage_const_add_Iic
@[simp]
theorem preimage_const_add_Iio : (fun x => a + x) ⁻¹' Iio b = Iio (b - a) :=
ext fun _x => lt_sub_iff_add_lt'.symm
#align set.preimage_const_add_Iio Set.preimage_const_add_Iio
@[simp]
theorem preimage_const_add_Icc : (fun x => a + x) ⁻¹' Icc b c = Icc (b - a) (c - a) := by
simp [← Ici_inter_Iic]
#align set.preimage_const_add_Icc Set.preimage_const_add_Icc
@[simp]
theorem preimage_const_add_Ico : (fun x => a + x) ⁻¹' Ico b c = Ico (b - a) (c - a) := by
simp [← Ici_inter_Iio]
#align set.preimage_const_add_Ico Set.preimage_const_add_Ico
@[simp]
theorem preimage_const_add_Ioc : (fun x => a + x) ⁻¹' Ioc b c = Ioc (b - a) (c - a) := by
simp [← Ioi_inter_Iic]
#align set.preimage_const_add_Ioc Set.preimage_const_add_Ioc
@[simp]
theorem preimage_const_add_Ioo : (fun x => a + x) ⁻¹' Ioo b c = Ioo (b - a) (c - a) := by
simp [← Ioi_inter_Iio]
#align set.preimage_const_add_Ioo Set.preimage_const_add_Ioo
@[simp]
theorem preimage_add_const_Ici : (fun x => x + a) ⁻¹' Ici b = Ici (b - a) :=
ext fun _x => sub_le_iff_le_add.symm
#align set.preimage_add_const_Ici Set.preimage_add_const_Ici
@[simp]
theorem preimage_add_const_Ioi : (fun x => x + a) ⁻¹' Ioi b = Ioi (b - a) :=
ext fun _x => sub_lt_iff_lt_add.symm
#align set.preimage_add_const_Ioi Set.preimage_add_const_Ioi
@[simp]
theorem preimage_add_const_Iic : (fun x => x + a) ⁻¹' Iic b = Iic (b - a) :=
ext fun _x => le_sub_iff_add_le.symm
#align set.preimage_add_const_Iic Set.preimage_add_const_Iic
@[simp]
theorem preimage_add_const_Iio : (fun x => x + a) ⁻¹' Iio b = Iio (b - a) :=
ext fun _x => lt_sub_iff_add_lt.symm
#align set.preimage_add_const_Iio Set.preimage_add_const_Iio
@[simp]
theorem preimage_add_const_Icc : (fun x => x + a) ⁻¹' Icc b c = Icc (b - a) (c - a) := by
simp [← Ici_inter_Iic]
#align set.preimage_add_const_Icc Set.preimage_add_const_Icc
@[simp]
theorem preimage_add_const_Ico : (fun x => x + a) ⁻¹' Ico b c = Ico (b - a) (c - a) := by
simp [← Ici_inter_Iio]
#align set.preimage_add_const_Ico Set.preimage_add_const_Ico
@[simp]
theorem preimage_add_const_Ioc : (fun x => x + a) ⁻¹' Ioc b c = Ioc (b - a) (c - a) := by
simp [← Ioi_inter_Iic]
#align set.preimage_add_const_Ioc Set.preimage_add_const_Ioc
@[simp]
theorem preimage_add_const_Ioo : (fun x => x + a) ⁻¹' Ioo b c = Ioo (b - a) (c - a) := by
simp [← Ioi_inter_Iio]
#align set.preimage_add_const_Ioo Set.preimage_add_const_Ioo
@[simp]
theorem preimage_neg_Ici : -Ici a = Iic (-a) :=
ext fun _x => le_neg
#align set.preimage_neg_Ici Set.preimage_neg_Ici
@[simp]
theorem preimage_neg_Iic : -Iic a = Ici (-a) :=
ext fun _x => neg_le
#align set.preimage_neg_Iic Set.preimage_neg_Iic
@[simp]
theorem preimage_neg_Ioi : -Ioi a = Iio (-a) :=
ext fun _x => lt_neg
#align set.preimage_neg_Ioi Set.preimage_neg_Ioi
@[simp]
theorem preimage_neg_Iio : -Iio a = Ioi (-a) :=
ext fun _x => neg_lt
#align set.preimage_neg_Iio Set.preimage_neg_Iio
@[simp]
theorem preimage_neg_Icc : -Icc a b = Icc (-b) (-a) := by simp [← Ici_inter_Iic, inter_comm]
#align set.preimage_neg_Icc Set.preimage_neg_Icc
@[simp]
theorem preimage_neg_Ico : -Ico a b = Ioc (-b) (-a) := by
simp [← Ici_inter_Iio, ← Ioi_inter_Iic, inter_comm]
#align set.preimage_neg_Ico Set.preimage_neg_Ico
@[simp]
theorem preimage_neg_Ioc : -Ioc a b = Ico (-b) (-a) := by
simp [← Ioi_inter_Iic, ← Ici_inter_Iio, inter_comm]
#align set.preimage_neg_Ioc Set.preimage_neg_Ioc
@[simp]
theorem preimage_neg_Ioo : -Ioo a b = Ioo (-b) (-a) := by simp [← Ioi_inter_Iio, inter_comm]
#align set.preimage_neg_Ioo Set.preimage_neg_Ioo
@[simp]
theorem preimage_sub_const_Ici : (fun x => x - a) ⁻¹' Ici b = Ici (b + a) := by
simp [sub_eq_add_neg]
#align set.preimage_sub_const_Ici Set.preimage_sub_const_Ici
@[simp]
theorem preimage_sub_const_Ioi : (fun x => x - a) ⁻¹' Ioi b = Ioi (b + a) := by
simp [sub_eq_add_neg]
#align set.preimage_sub_const_Ioi Set.preimage_sub_const_Ioi
@[simp]
theorem preimage_sub_const_Iic : (fun x => x - a) ⁻¹' Iic b = Iic (b + a) := by
simp [sub_eq_add_neg]
#align set.preimage_sub_const_Iic Set.preimage_sub_const_Iic
@[simp]
theorem preimage_sub_const_Iio : (fun x => x - a) ⁻¹' Iio b = Iio (b + a) := by
simp [sub_eq_add_neg]
#align set.preimage_sub_const_Iio Set.preimage_sub_const_Iio
@[simp]
theorem preimage_sub_const_Icc : (fun x => x - a) ⁻¹' Icc b c = Icc (b + a) (c + a) := by
simp [sub_eq_add_neg]
#align set.preimage_sub_const_Icc Set.preimage_sub_const_Icc
@[simp]
theorem preimage_sub_const_Ico : (fun x => x - a) ⁻¹' Ico b c = Ico (b + a) (c + a) := by
simp [sub_eq_add_neg]
#align set.preimage_sub_const_Ico Set.preimage_sub_const_Ico
@[simp]
theorem preimage_sub_const_Ioc : (fun x => x - a) ⁻¹' Ioc b c = Ioc (b + a) (c + a) := by
simp [sub_eq_add_neg]
#align set.preimage_sub_const_Ioc Set.preimage_sub_const_Ioc
@[simp]
theorem preimage_sub_const_Ioo : (fun x => x - a) ⁻¹' Ioo b c = Ioo (b + a) (c + a) := by
simp [sub_eq_add_neg]
#align set.preimage_sub_const_Ioo Set.preimage_sub_const_Ioo
@[simp]
theorem preimage_const_sub_Ici : (fun x => a - x) ⁻¹' Ici b = Iic (a - b) :=
ext fun _x => le_sub_comm
#align set.preimage_const_sub_Ici Set.preimage_const_sub_Ici
@[simp]
theorem preimage_const_sub_Iic : (fun x => a - x) ⁻¹' Iic b = Ici (a - b) :=
ext fun _x => sub_le_comm
#align set.preimage_const_sub_Iic Set.preimage_const_sub_Iic
@[simp]
theorem preimage_const_sub_Ioi : (fun x => a - x) ⁻¹' Ioi b = Iio (a - b) :=
ext fun _x => lt_sub_comm
#align set.preimage_const_sub_Ioi Set.preimage_const_sub_Ioi
@[simp]
theorem preimage_const_sub_Iio : (fun x => a - x) ⁻¹' Iio b = Ioi (a - b) :=
ext fun _x => sub_lt_comm
#align set.preimage_const_sub_Iio Set.preimage_const_sub_Iio
@[simp]
theorem preimage_const_sub_Icc : (fun x => a - x) ⁻¹' Icc b c = Icc (a - c) (a - b) := by
simp [← Ici_inter_Iic, inter_comm]
#align set.preimage_const_sub_Icc Set.preimage_const_sub_Icc
@[simp]
theorem preimage_const_sub_Ico : (fun x => a - x) ⁻¹' Ico b c = Ioc (a - c) (a - b) := by
simp [← Ioi_inter_Iic, ← Ici_inter_Iio, inter_comm]
#align set.preimage_const_sub_Ico Set.preimage_const_sub_Ico
@[simp]
theorem preimage_const_sub_Ioc : (fun x => a - x) ⁻¹' Ioc b c = Ico (a - c) (a - b) := by
simp [← Ioi_inter_Iic, ← Ici_inter_Iio, inter_comm]
#align set.preimage_const_sub_Ioc Set.preimage_const_sub_Ioc
@[simp]
theorem preimage_const_sub_Ioo : (fun x => a - x) ⁻¹' Ioo b c = Ioo (a - c) (a - b) := by
simp [← Ioi_inter_Iio, inter_comm]
#align set.preimage_const_sub_Ioo Set.preimage_const_sub_Ioo
-- @[simp] -- Porting note (#10618): simp can prove this modulo `add_comm`
theorem image_const_add_Iic : (fun x => a + x) '' Iic b = Iic (a + b) := by simp [add_comm]
#align set.image_const_add_Iic Set.image_const_add_Iic
-- @[simp] -- Porting note (#10618): simp can prove this modulo `add_comm`
theorem image_const_add_Iio : (fun x => a + x) '' Iio b = Iio (a + b) := by simp [add_comm]
#align set.image_const_add_Iio Set.image_const_add_Iio
-- @[simp] -- Porting note (#10618): simp can prove this
theorem image_add_const_Iic : (fun x => x + a) '' Iic b = Iic (b + a) := by simp
#align set.image_add_const_Iic Set.image_add_const_Iic
-- @[simp] -- Porting note (#10618): simp can prove this
theorem image_add_const_Iio : (fun x => x + a) '' Iio b = Iio (b + a) := by simp
#align set.image_add_const_Iio Set.image_add_const_Iio
theorem image_neg_Ici : Neg.neg '' Ici a = Iic (-a) := by simp
#align set.image_neg_Ici Set.image_neg_Ici
theorem image_neg_Iic : Neg.neg '' Iic a = Ici (-a) := by simp
#align set.image_neg_Iic Set.image_neg_Iic
theorem image_neg_Ioi : Neg.neg '' Ioi a = Iio (-a) := by simp
#align set.image_neg_Ioi Set.image_neg_Ioi
| Mathlib/Data/Set/Pointwise/Interval.lean | 384 | 384 | theorem image_neg_Iio : Neg.neg '' Iio a = Ioi (-a) := by | simp
|
import Mathlib.Combinatorics.Quiver.Basic
import Mathlib.Combinatorics.Quiver.Path
#align_import combinatorics.quiver.cast from "leanprover-community/mathlib"@"fc2ed6f838ce7c9b7c7171e58d78eaf7b438fb0e"
universe v v₁ v₂ u u₁ u₂
variable {U : Type*} [Quiver.{u + 1} U]
namespace Quiver
def Hom.cast {u v u' v' : U} (hu : u = u') (hv : v = v') (e : u ⟶ v) : u' ⟶ v' :=
Eq.ndrec (motive := (· ⟶ v')) (Eq.ndrec e hv) hu
#align quiver.hom.cast Quiver.Hom.cast
theorem Hom.cast_eq_cast {u v u' v' : U} (hu : u = u') (hv : v = v') (e : u ⟶ v) :
e.cast hu hv = _root_.cast (by {rw [hu, hv]}) e := by
subst_vars
rfl
#align quiver.hom.cast_eq_cast Quiver.Hom.cast_eq_cast
@[simp]
theorem Hom.cast_rfl_rfl {u v : U} (e : u ⟶ v) : e.cast rfl rfl = e :=
rfl
#align quiver.hom.cast_rfl_rfl Quiver.Hom.cast_rfl_rfl
@[simp]
theorem Hom.cast_cast {u v u' v' u'' v'' : U} (e : u ⟶ v) (hu : u = u') (hv : v = v')
(hu' : u' = u'') (hv' : v' = v'') :
(e.cast hu hv).cast hu' hv' = e.cast (hu.trans hu') (hv.trans hv') := by
subst_vars
rfl
#align quiver.hom.cast_cast Quiver.Hom.cast_cast
theorem Hom.cast_heq {u v u' v' : U} (hu : u = u') (hv : v = v') (e : u ⟶ v) :
HEq (e.cast hu hv) e := by
subst_vars
rfl
#align quiver.hom.cast_heq Quiver.Hom.cast_heq
theorem Hom.cast_eq_iff_heq {u v u' v' : U} (hu : u = u') (hv : v = v') (e : u ⟶ v) (e' : u' ⟶ v') :
e.cast hu hv = e' ↔ HEq e e' := by
rw [Hom.cast_eq_cast]
exact _root_.cast_eq_iff_heq
#align quiver.hom.cast_eq_iff_heq Quiver.Hom.cast_eq_iff_heq
theorem Hom.eq_cast_iff_heq {u v u' v' : U} (hu : u = u') (hv : v = v') (e : u ⟶ v) (e' : u' ⟶ v') :
e' = e.cast hu hv ↔ HEq e' e := by
rw [eq_comm, Hom.cast_eq_iff_heq]
exact ⟨HEq.symm, HEq.symm⟩
#align quiver.hom.eq_cast_iff_heq Quiver.Hom.eq_cast_iff_heq
open Path
def Path.cast {u v u' v' : U} (hu : u = u') (hv : v = v') (p : Path u v) : Path u' v' :=
Eq.ndrec (motive := (Path · v')) (Eq.ndrec p hv) hu
#align quiver.path.cast Quiver.Path.cast
theorem Path.cast_eq_cast {u v u' v' : U} (hu : u = u') (hv : v = v') (p : Path u v) :
p.cast hu hv = _root_.cast (by rw [hu, hv]) p := by
subst_vars
rfl
#align quiver.path.cast_eq_cast Quiver.Path.cast_eq_cast
@[simp]
theorem Path.cast_rfl_rfl {u v : U} (p : Path u v) : p.cast rfl rfl = p :=
rfl
#align quiver.path.cast_rfl_rfl Quiver.Path.cast_rfl_rfl
@[simp]
theorem Path.cast_cast {u v u' v' u'' v'' : U} (p : Path u v) (hu : u = u') (hv : v = v')
(hu' : u' = u'') (hv' : v' = v'') :
(p.cast hu hv).cast hu' hv' = p.cast (hu.trans hu') (hv.trans hv') := by
subst_vars
rfl
#align quiver.path.cast_cast Quiver.Path.cast_cast
@[simp]
theorem Path.cast_nil {u u' : U} (hu : u = u') : (Path.nil : Path u u).cast hu hu = Path.nil := by
subst_vars
rfl
#align quiver.path.cast_nil Quiver.Path.cast_nil
theorem Path.cast_heq {u v u' v' : U} (hu : u = u') (hv : v = v') (p : Path u v) :
HEq (p.cast hu hv) p := by
rw [Path.cast_eq_cast]
exact _root_.cast_heq _ _
#align quiver.path.cast_heq Quiver.Path.cast_heq
theorem Path.cast_eq_iff_heq {u v u' v' : U} (hu : u = u') (hv : v = v') (p : Path u v)
(p' : Path u' v') : p.cast hu hv = p' ↔ HEq p p' := by
rw [Path.cast_eq_cast]
exact _root_.cast_eq_iff_heq
#align quiver.path.cast_eq_iff_heq Quiver.Path.cast_eq_iff_heq
theorem Path.eq_cast_iff_heq {u v u' v' : U} (hu : u = u') (hv : v = v') (p : Path u v)
(p' : Path u' v') : p' = p.cast hu hv ↔ HEq p' p :=
⟨fun h => ((p.cast_eq_iff_heq hu hv p').1 h.symm).symm, fun h =>
((p.cast_eq_iff_heq hu hv p').2 h.symm).symm⟩
#align quiver.path.eq_cast_iff_heq Quiver.Path.eq_cast_iff_heq
theorem Path.cast_cons {u v w u' w' : U} (p : Path u v) (e : v ⟶ w) (hu : u = u') (hw : w = w') :
(p.cons e).cast hu hw = (p.cast hu rfl).cons (e.cast rfl hw) := by
subst_vars
rfl
#align quiver.path.cast_cons Quiver.Path.cast_cons
theorem cast_eq_of_cons_eq_cons {u v v' w : U} {p : Path u v} {p' : Path u v'} {e : v ⟶ w}
{e' : v' ⟶ w} (h : p.cons e = p'.cons e') : p.cast rfl (obj_eq_of_cons_eq_cons h) = p' := by
rw [Path.cast_eq_iff_heq]
exact heq_of_cons_eq_cons h
#align quiver.cast_eq_of_cons_eq_cons Quiver.cast_eq_of_cons_eq_cons
| Mathlib/Combinatorics/Quiver/Cast.lean | 142 | 145 | theorem hom_cast_eq_of_cons_eq_cons {u v v' w : U} {p : Path u v} {p' : Path u v'} {e : v ⟶ w}
{e' : v' ⟶ w} (h : p.cons e = p'.cons e') : e.cast (obj_eq_of_cons_eq_cons h) rfl = e' := by |
rw [Hom.cast_eq_iff_heq]
exact hom_heq_of_cons_eq_cons h
|
import Mathlib.Data.Finset.Sigma
import Mathlib.Data.Fintype.Card
#align_import data.finset.pi_induction from "leanprover-community/mathlib"@"f93c11933efbc3c2f0299e47b8ff83e9b539cbf6"
open Function
variable {ι : Type*} {α : ι → Type*} [Finite ι] [DecidableEq ι] [∀ i, DecidableEq (α i)]
namespace Finset
| Mathlib/Data/Finset/PiInduction.lean | 37 | 63 | theorem induction_on_pi_of_choice (r : ∀ i, α i → Finset (α i) → Prop)
(H_ex : ∀ (i) (s : Finset (α i)), s.Nonempty → ∃ x ∈ s, r i x (s.erase x))
{p : (∀ i, Finset (α i)) → Prop} (f : ∀ i, Finset (α i)) (h0 : p fun _ ↦ ∅)
(step :
∀ (g : ∀ i, Finset (α i)) (i : ι) (x : α i),
r i x (g i) → p g → p (update g i (insert x (g i)))) :
p f := by |
cases nonempty_fintype ι
induction' hs : univ.sigma f using Finset.strongInductionOn with s ihs generalizing f; subst s
rcases eq_empty_or_nonempty (univ.sigma f) with he | hne
· convert h0 using 1
simpa [funext_iff] using he
· rcases sigma_nonempty.1 hne with ⟨i, -, hi⟩
rcases H_ex i (f i) hi with ⟨x, x_mem, hr⟩
set g := update f i ((f i).erase x) with hg
clear_value g
have hx' : x ∉ g i := by
rw [hg, update_same]
apply not_mem_erase
rw [show f = update g i (insert x (g i)) by
rw [hg, update_idem, update_same, insert_erase x_mem, update_eq_self]] at hr ihs ⊢
clear hg
rw [update_same, erase_insert hx'] at hr
refine step _ _ _ hr (ihs (univ.sigma g) ?_ _ rfl)
rw [ssubset_iff_of_subset (sigma_mono (Subset.refl _) _)]
exacts [⟨⟨i, x⟩, mem_sigma.2 ⟨mem_univ _, by simp⟩, by simp [hx']⟩,
(@le_update_iff _ _ _ _ g g i _).2 ⟨subset_insert _ _, fun _ _ ↦ le_rfl⟩]
|
import Mathlib.FieldTheory.Minpoly.Field
#align_import ring_theory.power_basis from "leanprover-community/mathlib"@"d1d69e99ed34c95266668af4e288fc1c598b9a7f"
open Polynomial
open Polynomial
variable {R S T : Type*} [CommRing R] [Ring S] [Algebra R S]
variable {A B : Type*} [CommRing A] [CommRing B] [IsDomain B] [Algebra A B]
variable {K : Type*} [Field K]
-- Porting note(#5171): this linter isn't ported yet.
-- @[nolint has_nonempty_instance]
structure PowerBasis (R S : Type*) [CommRing R] [Ring S] [Algebra R S] where
gen : S
dim : ℕ
basis : Basis (Fin dim) R S
basis_eq_pow : ∀ (i), basis i = gen ^ (i : ℕ)
#align power_basis PowerBasis
-- this is usually not needed because of `basis_eq_pow` but can be needed in some cases;
-- in such circumstances, add it manually using `@[simps dim gen basis]`.
initialize_simps_projections PowerBasis (-basis)
namespace PowerBasis
@[simp]
theorem coe_basis (pb : PowerBasis R S) : ⇑pb.basis = fun i : Fin pb.dim => pb.gen ^ (i : ℕ) :=
funext pb.basis_eq_pow
#align power_basis.coe_basis PowerBasis.coe_basis
theorem finite (pb : PowerBasis R S) : Module.Finite R S := .of_basis pb.basis
#align power_basis.finite_dimensional PowerBasis.finite
@[deprecated] alias finiteDimensional := PowerBasis.finite
theorem finrank [StrongRankCondition R] (pb : PowerBasis R S) :
FiniteDimensional.finrank R S = pb.dim := by
rw [FiniteDimensional.finrank_eq_card_basis pb.basis, Fintype.card_fin]
#align power_basis.finrank PowerBasis.finrank
theorem mem_span_pow' {x y : S} {d : ℕ} :
y ∈ Submodule.span R (Set.range fun i : Fin d => x ^ (i : ℕ)) ↔
∃ f : R[X], f.degree < d ∧ y = aeval x f := by
have : (Set.range fun i : Fin d => x ^ (i : ℕ)) = (fun i : ℕ => x ^ i) '' ↑(Finset.range d) := by
ext n
simp_rw [Set.mem_range, Set.mem_image, Finset.mem_coe, Finset.mem_range]
exact ⟨fun ⟨⟨i, hi⟩, hy⟩ => ⟨i, hi, hy⟩, fun ⟨i, hi, hy⟩ => ⟨⟨i, hi⟩, hy⟩⟩
simp only [this, Finsupp.mem_span_image_iff_total, degree_lt_iff_coeff_zero, support,
exists_iff_exists_finsupp, coeff, aeval_def, eval₂RingHom', eval₂_eq_sum, Polynomial.sum,
Finsupp.mem_supported', Finsupp.total, Finsupp.sum, Algebra.smul_def, eval₂_zero, exists_prop,
LinearMap.id_coe, eval₂_one, id, not_lt, Finsupp.coe_lsum, LinearMap.coe_smulRight,
Finset.mem_range, AlgHom.coe_mks, Finset.mem_coe]
simp_rw [@eq_comm _ y]
exact Iff.rfl
#align power_basis.mem_span_pow' PowerBasis.mem_span_pow'
theorem mem_span_pow {x y : S} {d : ℕ} (hd : d ≠ 0) :
y ∈ Submodule.span R (Set.range fun i : Fin d => x ^ (i : ℕ)) ↔
∃ f : R[X], f.natDegree < d ∧ y = aeval x f := by
rw [mem_span_pow']
constructor <;>
· rintro ⟨f, h, hy⟩
refine ⟨f, ?_, hy⟩
by_cases hf : f = 0
· simp only [hf, natDegree_zero, degree_zero] at h ⊢
first | exact lt_of_le_of_ne (Nat.zero_le d) hd.symm | exact WithBot.bot_lt_coe d
simp_all only [degree_eq_natDegree hf]
· first | exact WithBot.coe_lt_coe.1 h | exact WithBot.coe_lt_coe.2 h
#align power_basis.mem_span_pow PowerBasis.mem_span_pow
theorem dim_ne_zero [Nontrivial S] (pb : PowerBasis R S) : pb.dim ≠ 0 := fun h =>
not_nonempty_iff.mpr (h.symm ▸ Fin.isEmpty : IsEmpty (Fin pb.dim)) pb.basis.index_nonempty
#align power_basis.dim_ne_zero PowerBasis.dim_ne_zero
theorem dim_pos [Nontrivial S] (pb : PowerBasis R S) : 0 < pb.dim :=
Nat.pos_of_ne_zero pb.dim_ne_zero
#align power_basis.dim_pos PowerBasis.dim_pos
theorem exists_eq_aeval [Nontrivial S] (pb : PowerBasis R S) (y : S) :
∃ f : R[X], f.natDegree < pb.dim ∧ y = aeval pb.gen f :=
(mem_span_pow pb.dim_ne_zero).mp (by simpa using pb.basis.mem_span y)
#align power_basis.exists_eq_aeval PowerBasis.exists_eq_aeval
theorem exists_eq_aeval' (pb : PowerBasis R S) (y : S) : ∃ f : R[X], y = aeval pb.gen f := by
nontriviality S
obtain ⟨f, _, hf⟩ := exists_eq_aeval pb y
exact ⟨f, hf⟩
#align power_basis.exists_eq_aeval' PowerBasis.exists_eq_aeval'
theorem algHom_ext {S' : Type*} [Semiring S'] [Algebra R S'] (pb : PowerBasis R S)
⦃f g : S →ₐ[R] S'⦄ (h : f pb.gen = g pb.gen) : f = g := by
ext x
obtain ⟨f, rfl⟩ := pb.exists_eq_aeval' x
rw [← Polynomial.aeval_algHom_apply, ← Polynomial.aeval_algHom_apply, h]
#align power_basis.alg_hom_ext PowerBasis.algHom_ext
section minpoly
variable [Algebra A S]
noncomputable def minpolyGen (pb : PowerBasis A S) : A[X] :=
X ^ pb.dim - ∑ i : Fin pb.dim, C (pb.basis.repr (pb.gen ^ pb.dim) i) * X ^ (i : ℕ)
#align power_basis.minpoly_gen PowerBasis.minpolyGen
theorem aeval_minpolyGen (pb : PowerBasis A S) : aeval pb.gen (minpolyGen pb) = 0 := by
simp_rw [minpolyGen, AlgHom.map_sub, AlgHom.map_sum, AlgHom.map_mul, AlgHom.map_pow, aeval_C, ←
Algebra.smul_def, aeval_X]
refine sub_eq_zero.mpr ((pb.basis.total_repr (pb.gen ^ pb.dim)).symm.trans ?_)
rw [Finsupp.total_apply, Finsupp.sum_fintype] <;>
simp only [pb.coe_basis, zero_smul, eq_self_iff_true, imp_true_iff]
#align power_basis.aeval_minpoly_gen PowerBasis.aeval_minpolyGen
theorem minpolyGen_monic (pb : PowerBasis A S) : Monic (minpolyGen pb) := by
nontriviality A
apply (monic_X_pow _).sub_of_left _
rw [degree_X_pow]
exact degree_sum_fin_lt _
#align power_basis.minpoly_gen_monic PowerBasis.minpolyGen_monic
theorem dim_le_natDegree_of_root (pb : PowerBasis A S) {p : A[X]} (ne_zero : p ≠ 0)
(root : aeval pb.gen p = 0) : pb.dim ≤ p.natDegree := by
refine le_of_not_lt fun hlt => ne_zero ?_
rw [p.as_sum_range' _ hlt, Finset.sum_range]
refine Fintype.sum_eq_zero _ fun i => ?_
simp_rw [aeval_eq_sum_range' hlt, Finset.sum_range, ← pb.basis_eq_pow] at root
have := Fintype.linearIndependent_iff.1 pb.basis.linearIndependent _ root
rw [this, monomial_zero_right]
#align power_basis.dim_le_nat_degree_of_root PowerBasis.dim_le_natDegree_of_root
| Mathlib/RingTheory/PowerBasis.lean | 179 | 182 | theorem dim_le_degree_of_root (h : PowerBasis A S) {p : A[X]} (ne_zero : p ≠ 0)
(root : aeval h.gen p = 0) : ↑h.dim ≤ p.degree := by |
rw [degree_eq_natDegree ne_zero]
exact WithBot.coe_le_coe.2 (h.dim_le_natDegree_of_root ne_zero root)
|
import Mathlib.Topology.Constructions
#align_import topology.continuous_on from "leanprover-community/mathlib"@"d4f691b9e5f94cfc64639973f3544c95f8d5d494"
open Set Filter Function Topology Filter
variable {α : Type*} {β : Type*} {γ : Type*} {δ : Type*}
variable [TopologicalSpace α]
@[simp]
theorem nhds_bind_nhdsWithin {a : α} {s : Set α} : ((𝓝 a).bind fun x => 𝓝[s] x) = 𝓝[s] a :=
bind_inf_principal.trans <| congr_arg₂ _ nhds_bind_nhds rfl
#align nhds_bind_nhds_within nhds_bind_nhdsWithin
@[simp]
theorem eventually_nhds_nhdsWithin {a : α} {s : Set α} {p : α → Prop} :
(∀ᶠ y in 𝓝 a, ∀ᶠ x in 𝓝[s] y, p x) ↔ ∀ᶠ x in 𝓝[s] a, p x :=
Filter.ext_iff.1 nhds_bind_nhdsWithin { x | p x }
#align eventually_nhds_nhds_within eventually_nhds_nhdsWithin
theorem eventually_nhdsWithin_iff {a : α} {s : Set α} {p : α → Prop} :
(∀ᶠ x in 𝓝[s] a, p x) ↔ ∀ᶠ x in 𝓝 a, x ∈ s → p x :=
eventually_inf_principal
#align eventually_nhds_within_iff eventually_nhdsWithin_iff
theorem frequently_nhdsWithin_iff {z : α} {s : Set α} {p : α → Prop} :
(∃ᶠ x in 𝓝[s] z, p x) ↔ ∃ᶠ x in 𝓝 z, p x ∧ x ∈ s :=
frequently_inf_principal.trans <| by simp only [and_comm]
#align frequently_nhds_within_iff frequently_nhdsWithin_iff
theorem mem_closure_ne_iff_frequently_within {z : α} {s : Set α} :
z ∈ closure (s \ {z}) ↔ ∃ᶠ x in 𝓝[≠] z, x ∈ s := by
simp [mem_closure_iff_frequently, frequently_nhdsWithin_iff]
#align mem_closure_ne_iff_frequently_within mem_closure_ne_iff_frequently_within
@[simp]
theorem eventually_nhdsWithin_nhdsWithin {a : α} {s : Set α} {p : α → Prop} :
(∀ᶠ y in 𝓝[s] a, ∀ᶠ x in 𝓝[s] y, p x) ↔ ∀ᶠ x in 𝓝[s] a, p x := by
refine ⟨fun h => ?_, fun h => (eventually_nhds_nhdsWithin.2 h).filter_mono inf_le_left⟩
simp only [eventually_nhdsWithin_iff] at h ⊢
exact h.mono fun x hx hxs => (hx hxs).self_of_nhds hxs
#align eventually_nhds_within_nhds_within eventually_nhdsWithin_nhdsWithin
theorem nhdsWithin_eq (a : α) (s : Set α) :
𝓝[s] a = ⨅ t ∈ { t : Set α | a ∈ t ∧ IsOpen t }, 𝓟 (t ∩ s) :=
((nhds_basis_opens a).inf_principal s).eq_biInf
#align nhds_within_eq nhdsWithin_eq
theorem nhdsWithin_univ (a : α) : 𝓝[Set.univ] a = 𝓝 a := by
rw [nhdsWithin, principal_univ, inf_top_eq]
#align nhds_within_univ nhdsWithin_univ
theorem nhdsWithin_hasBasis {p : β → Prop} {s : β → Set α} {a : α} (h : (𝓝 a).HasBasis p s)
(t : Set α) : (𝓝[t] a).HasBasis p fun i => s i ∩ t :=
h.inf_principal t
#align nhds_within_has_basis nhdsWithin_hasBasis
theorem nhdsWithin_basis_open (a : α) (t : Set α) :
(𝓝[t] a).HasBasis (fun u => a ∈ u ∧ IsOpen u) fun u => u ∩ t :=
nhdsWithin_hasBasis (nhds_basis_opens a) t
#align nhds_within_basis_open nhdsWithin_basis_open
theorem mem_nhdsWithin {t : Set α} {a : α} {s : Set α} :
t ∈ 𝓝[s] a ↔ ∃ u, IsOpen u ∧ a ∈ u ∧ u ∩ s ⊆ t := by
simpa only [and_assoc, and_left_comm] using (nhdsWithin_basis_open a s).mem_iff
#align mem_nhds_within mem_nhdsWithin
theorem mem_nhdsWithin_iff_exists_mem_nhds_inter {t : Set α} {a : α} {s : Set α} :
t ∈ 𝓝[s] a ↔ ∃ u ∈ 𝓝 a, u ∩ s ⊆ t :=
(nhdsWithin_hasBasis (𝓝 a).basis_sets s).mem_iff
#align mem_nhds_within_iff_exists_mem_nhds_inter mem_nhdsWithin_iff_exists_mem_nhds_inter
theorem diff_mem_nhdsWithin_compl {x : α} {s : Set α} (hs : s ∈ 𝓝 x) (t : Set α) :
s \ t ∈ 𝓝[tᶜ] x :=
diff_mem_inf_principal_compl hs t
#align diff_mem_nhds_within_compl diff_mem_nhdsWithin_compl
theorem diff_mem_nhdsWithin_diff {x : α} {s t : Set α} (hs : s ∈ 𝓝[t] x) (t' : Set α) :
s \ t' ∈ 𝓝[t \ t'] x := by
rw [nhdsWithin, diff_eq, diff_eq, ← inf_principal, ← inf_assoc]
exact inter_mem_inf hs (mem_principal_self _)
#align diff_mem_nhds_within_diff diff_mem_nhdsWithin_diff
theorem nhds_of_nhdsWithin_of_nhds {s t : Set α} {a : α} (h1 : s ∈ 𝓝 a) (h2 : t ∈ 𝓝[s] a) :
t ∈ 𝓝 a := by
rcases mem_nhdsWithin_iff_exists_mem_nhds_inter.mp h2 with ⟨_, Hw, hw⟩
exact (𝓝 a).sets_of_superset ((𝓝 a).inter_sets Hw h1) hw
#align nhds_of_nhds_within_of_nhds nhds_of_nhdsWithin_of_nhds
theorem mem_nhdsWithin_iff_eventually {s t : Set α} {x : α} :
t ∈ 𝓝[s] x ↔ ∀ᶠ y in 𝓝 x, y ∈ s → y ∈ t :=
eventually_inf_principal
#align mem_nhds_within_iff_eventually mem_nhdsWithin_iff_eventually
theorem mem_nhdsWithin_iff_eventuallyEq {s t : Set α} {x : α} :
t ∈ 𝓝[s] x ↔ s =ᶠ[𝓝 x] (s ∩ t : Set α) := by
simp_rw [mem_nhdsWithin_iff_eventually, eventuallyEq_set, mem_inter_iff, iff_self_and]
#align mem_nhds_within_iff_eventually_eq mem_nhdsWithin_iff_eventuallyEq
theorem nhdsWithin_eq_iff_eventuallyEq {s t : Set α} {x : α} : 𝓝[s] x = 𝓝[t] x ↔ s =ᶠ[𝓝 x] t :=
set_eventuallyEq_iff_inf_principal.symm
#align nhds_within_eq_iff_eventually_eq nhdsWithin_eq_iff_eventuallyEq
theorem nhdsWithin_le_iff {s t : Set α} {x : α} : 𝓝[s] x ≤ 𝓝[t] x ↔ t ∈ 𝓝[s] x :=
set_eventuallyLE_iff_inf_principal_le.symm.trans set_eventuallyLE_iff_mem_inf_principal
#align nhds_within_le_iff nhdsWithin_le_iff
-- Porting note: golfed, dropped an unneeded assumption
theorem preimage_nhdsWithin_coinduced' {π : α → β} {s : Set β} {t : Set α} {a : α} (h : a ∈ t)
(hs : s ∈ @nhds β (.coinduced (fun x : t => π x) inferInstance) (π a)) :
π ⁻¹' s ∈ 𝓝[t] a := by
lift a to t using h
replace hs : (fun x : t => π x) ⁻¹' s ∈ 𝓝 a := preimage_nhds_coinduced hs
rwa [← map_nhds_subtype_val, mem_map]
#align preimage_nhds_within_coinduced' preimage_nhdsWithin_coinduced'ₓ
theorem mem_nhdsWithin_of_mem_nhds {s t : Set α} {a : α} (h : s ∈ 𝓝 a) : s ∈ 𝓝[t] a :=
mem_inf_of_left h
#align mem_nhds_within_of_mem_nhds mem_nhdsWithin_of_mem_nhds
theorem self_mem_nhdsWithin {a : α} {s : Set α} : s ∈ 𝓝[s] a :=
mem_inf_of_right (mem_principal_self s)
#align self_mem_nhds_within self_mem_nhdsWithin
theorem eventually_mem_nhdsWithin {a : α} {s : Set α} : ∀ᶠ x in 𝓝[s] a, x ∈ s :=
self_mem_nhdsWithin
#align eventually_mem_nhds_within eventually_mem_nhdsWithin
theorem inter_mem_nhdsWithin (s : Set α) {t : Set α} {a : α} (h : t ∈ 𝓝 a) : s ∩ t ∈ 𝓝[s] a :=
inter_mem self_mem_nhdsWithin (mem_inf_of_left h)
#align inter_mem_nhds_within inter_mem_nhdsWithin
theorem nhdsWithin_mono (a : α) {s t : Set α} (h : s ⊆ t) : 𝓝[s] a ≤ 𝓝[t] a :=
inf_le_inf_left _ (principal_mono.mpr h)
#align nhds_within_mono nhdsWithin_mono
theorem pure_le_nhdsWithin {a : α} {s : Set α} (ha : a ∈ s) : pure a ≤ 𝓝[s] a :=
le_inf (pure_le_nhds a) (le_principal_iff.2 ha)
#align pure_le_nhds_within pure_le_nhdsWithin
theorem mem_of_mem_nhdsWithin {a : α} {s t : Set α} (ha : a ∈ s) (ht : t ∈ 𝓝[s] a) : a ∈ t :=
pure_le_nhdsWithin ha ht
#align mem_of_mem_nhds_within mem_of_mem_nhdsWithin
theorem Filter.Eventually.self_of_nhdsWithin {p : α → Prop} {s : Set α} {x : α}
(h : ∀ᶠ y in 𝓝[s] x, p y) (hx : x ∈ s) : p x :=
mem_of_mem_nhdsWithin hx h
#align filter.eventually.self_of_nhds_within Filter.Eventually.self_of_nhdsWithin
theorem tendsto_const_nhdsWithin {l : Filter β} {s : Set α} {a : α} (ha : a ∈ s) :
Tendsto (fun _ : β => a) l (𝓝[s] a) :=
tendsto_const_pure.mono_right <| pure_le_nhdsWithin ha
#align tendsto_const_nhds_within tendsto_const_nhdsWithin
theorem nhdsWithin_restrict'' {a : α} (s : Set α) {t : Set α} (h : t ∈ 𝓝[s] a) :
𝓝[s] a = 𝓝[s ∩ t] a :=
le_antisymm (le_inf inf_le_left (le_principal_iff.mpr (inter_mem self_mem_nhdsWithin h)))
(inf_le_inf_left _ (principal_mono.mpr Set.inter_subset_left))
#align nhds_within_restrict'' nhdsWithin_restrict''
theorem nhdsWithin_restrict' {a : α} (s : Set α) {t : Set α} (h : t ∈ 𝓝 a) : 𝓝[s] a = 𝓝[s ∩ t] a :=
nhdsWithin_restrict'' s <| mem_inf_of_left h
#align nhds_within_restrict' nhdsWithin_restrict'
theorem nhdsWithin_restrict {a : α} (s : Set α) {t : Set α} (h₀ : a ∈ t) (h₁ : IsOpen t) :
𝓝[s] a = 𝓝[s ∩ t] a :=
nhdsWithin_restrict' s (IsOpen.mem_nhds h₁ h₀)
#align nhds_within_restrict nhdsWithin_restrict
theorem nhdsWithin_le_of_mem {a : α} {s t : Set α} (h : s ∈ 𝓝[t] a) : 𝓝[t] a ≤ 𝓝[s] a :=
nhdsWithin_le_iff.mpr h
#align nhds_within_le_of_mem nhdsWithin_le_of_mem
theorem nhdsWithin_le_nhds {a : α} {s : Set α} : 𝓝[s] a ≤ 𝓝 a := by
rw [← nhdsWithin_univ]
apply nhdsWithin_le_of_mem
exact univ_mem
#align nhds_within_le_nhds nhdsWithin_le_nhds
theorem nhdsWithin_eq_nhdsWithin' {a : α} {s t u : Set α} (hs : s ∈ 𝓝 a) (h₂ : t ∩ s = u ∩ s) :
𝓝[t] a = 𝓝[u] a := by rw [nhdsWithin_restrict' t hs, nhdsWithin_restrict' u hs, h₂]
#align nhds_within_eq_nhds_within' nhdsWithin_eq_nhdsWithin'
theorem nhdsWithin_eq_nhdsWithin {a : α} {s t u : Set α} (h₀ : a ∈ s) (h₁ : IsOpen s)
(h₂ : t ∩ s = u ∩ s) : 𝓝[t] a = 𝓝[u] a := by
rw [nhdsWithin_restrict t h₀ h₁, nhdsWithin_restrict u h₀ h₁, h₂]
#align nhds_within_eq_nhds_within nhdsWithin_eq_nhdsWithin
@[simp] theorem nhdsWithin_eq_nhds {a : α} {s : Set α} : 𝓝[s] a = 𝓝 a ↔ s ∈ 𝓝 a :=
inf_eq_left.trans le_principal_iff
#align nhds_within_eq_nhds nhdsWithin_eq_nhds
theorem IsOpen.nhdsWithin_eq {a : α} {s : Set α} (h : IsOpen s) (ha : a ∈ s) : 𝓝[s] a = 𝓝 a :=
nhdsWithin_eq_nhds.2 <| h.mem_nhds ha
#align is_open.nhds_within_eq IsOpen.nhdsWithin_eq
theorem preimage_nhds_within_coinduced {π : α → β} {s : Set β} {t : Set α} {a : α} (h : a ∈ t)
(ht : IsOpen t)
(hs : s ∈ @nhds β (.coinduced (fun x : t => π x) inferInstance) (π a)) :
π ⁻¹' s ∈ 𝓝 a := by
rw [← ht.nhdsWithin_eq h]
exact preimage_nhdsWithin_coinduced' h hs
#align preimage_nhds_within_coinduced preimage_nhds_within_coinduced
@[simp]
theorem nhdsWithin_empty (a : α) : 𝓝[∅] a = ⊥ := by rw [nhdsWithin, principal_empty, inf_bot_eq]
#align nhds_within_empty nhdsWithin_empty
theorem nhdsWithin_union (a : α) (s t : Set α) : 𝓝[s ∪ t] a = 𝓝[s] a ⊔ 𝓝[t] a := by
delta nhdsWithin
rw [← inf_sup_left, sup_principal]
#align nhds_within_union nhdsWithin_union
theorem nhdsWithin_biUnion {ι} {I : Set ι} (hI : I.Finite) (s : ι → Set α) (a : α) :
𝓝[⋃ i ∈ I, s i] a = ⨆ i ∈ I, 𝓝[s i] a :=
Set.Finite.induction_on hI (by simp) fun _ _ hT ↦ by
simp only [hT, nhdsWithin_union, iSup_insert, biUnion_insert]
#align nhds_within_bUnion nhdsWithin_biUnion
theorem nhdsWithin_sUnion {S : Set (Set α)} (hS : S.Finite) (a : α) :
𝓝[⋃₀ S] a = ⨆ s ∈ S, 𝓝[s] a := by
rw [sUnion_eq_biUnion, nhdsWithin_biUnion hS]
#align nhds_within_sUnion nhdsWithin_sUnion
theorem nhdsWithin_iUnion {ι} [Finite ι] (s : ι → Set α) (a : α) :
𝓝[⋃ i, s i] a = ⨆ i, 𝓝[s i] a := by
rw [← sUnion_range, nhdsWithin_sUnion (finite_range s), iSup_range]
#align nhds_within_Union nhdsWithin_iUnion
theorem nhdsWithin_inter (a : α) (s t : Set α) : 𝓝[s ∩ t] a = 𝓝[s] a ⊓ 𝓝[t] a := by
delta nhdsWithin
rw [inf_left_comm, inf_assoc, inf_principal, ← inf_assoc, inf_idem]
#align nhds_within_inter nhdsWithin_inter
theorem nhdsWithin_inter' (a : α) (s t : Set α) : 𝓝[s ∩ t] a = 𝓝[s] a ⊓ 𝓟 t := by
delta nhdsWithin
rw [← inf_principal, inf_assoc]
#align nhds_within_inter' nhdsWithin_inter'
theorem nhdsWithin_inter_of_mem {a : α} {s t : Set α} (h : s ∈ 𝓝[t] a) : 𝓝[s ∩ t] a = 𝓝[t] a := by
rw [nhdsWithin_inter, inf_eq_right]
exact nhdsWithin_le_of_mem h
#align nhds_within_inter_of_mem nhdsWithin_inter_of_mem
theorem nhdsWithin_inter_of_mem' {a : α} {s t : Set α} (h : t ∈ 𝓝[s] a) : 𝓝[s ∩ t] a = 𝓝[s] a := by
rw [inter_comm, nhdsWithin_inter_of_mem h]
#align nhds_within_inter_of_mem' nhdsWithin_inter_of_mem'
@[simp]
theorem nhdsWithin_singleton (a : α) : 𝓝[{a}] a = pure a := by
rw [nhdsWithin, principal_singleton, inf_eq_right.2 (pure_le_nhds a)]
#align nhds_within_singleton nhdsWithin_singleton
@[simp]
theorem nhdsWithin_insert (a : α) (s : Set α) : 𝓝[insert a s] a = pure a ⊔ 𝓝[s] a := by
rw [← singleton_union, nhdsWithin_union, nhdsWithin_singleton]
#align nhds_within_insert nhdsWithin_insert
theorem mem_nhdsWithin_insert {a : α} {s t : Set α} : t ∈ 𝓝[insert a s] a ↔ a ∈ t ∧ t ∈ 𝓝[s] a := by
simp
#align mem_nhds_within_insert mem_nhdsWithin_insert
theorem insert_mem_nhdsWithin_insert {a : α} {s t : Set α} (h : t ∈ 𝓝[s] a) :
insert a t ∈ 𝓝[insert a s] a := by simp [mem_of_superset h]
#align insert_mem_nhds_within_insert insert_mem_nhdsWithin_insert
theorem insert_mem_nhds_iff {a : α} {s : Set α} : insert a s ∈ 𝓝 a ↔ s ∈ 𝓝[≠] a := by
simp only [nhdsWithin, mem_inf_principal, mem_compl_iff, mem_singleton_iff, or_iff_not_imp_left,
insert_def]
#align insert_mem_nhds_iff insert_mem_nhds_iff
@[simp]
theorem nhdsWithin_compl_singleton_sup_pure (a : α) : 𝓝[≠] a ⊔ pure a = 𝓝 a := by
rw [← nhdsWithin_singleton, ← nhdsWithin_union, compl_union_self, nhdsWithin_univ]
#align nhds_within_compl_singleton_sup_pure nhdsWithin_compl_singleton_sup_pure
theorem nhdsWithin_prod {α : Type*} [TopologicalSpace α] {β : Type*} [TopologicalSpace β]
{s u : Set α} {t v : Set β} {a : α} {b : β} (hu : u ∈ 𝓝[s] a) (hv : v ∈ 𝓝[t] b) :
u ×ˢ v ∈ 𝓝[s ×ˢ t] (a, b) := by
rw [nhdsWithin_prod_eq]
exact prod_mem_prod hu hv
#align nhds_within_prod nhdsWithin_prod
theorem nhdsWithin_pi_eq' {ι : Type*} {α : ι → Type*} [∀ i, TopologicalSpace (α i)] {I : Set ι}
(hI : I.Finite) (s : ∀ i, Set (α i)) (x : ∀ i, α i) :
𝓝[pi I s] x = ⨅ i, comap (fun x => x i) (𝓝 (x i) ⊓ ⨅ (_ : i ∈ I), 𝓟 (s i)) := by
simp only [nhdsWithin, nhds_pi, Filter.pi, comap_inf, comap_iInf, pi_def, comap_principal, ←
iInf_principal_finite hI, ← iInf_inf_eq]
#align nhds_within_pi_eq' nhdsWithin_pi_eq'
theorem nhdsWithin_pi_eq {ι : Type*} {α : ι → Type*} [∀ i, TopologicalSpace (α i)] {I : Set ι}
(hI : I.Finite) (s : ∀ i, Set (α i)) (x : ∀ i, α i) :
𝓝[pi I s] x =
(⨅ i ∈ I, comap (fun x => x i) (𝓝[s i] x i)) ⊓
⨅ (i) (_ : i ∉ I), comap (fun x => x i) (𝓝 (x i)) := by
simp only [nhdsWithin, nhds_pi, Filter.pi, pi_def, ← iInf_principal_finite hI, comap_inf,
comap_principal, eval]
rw [iInf_split _ fun i => i ∈ I, inf_right_comm]
simp only [iInf_inf_eq]
#align nhds_within_pi_eq nhdsWithin_pi_eq
theorem nhdsWithin_pi_univ_eq {ι : Type*} {α : ι → Type*} [Finite ι] [∀ i, TopologicalSpace (α i)]
(s : ∀ i, Set (α i)) (x : ∀ i, α i) :
𝓝[pi univ s] x = ⨅ i, comap (fun x => x i) (𝓝[s i] x i) := by
simpa [nhdsWithin] using nhdsWithin_pi_eq finite_univ s x
#align nhds_within_pi_univ_eq nhdsWithin_pi_univ_eq
theorem nhdsWithin_pi_eq_bot {ι : Type*} {α : ι → Type*} [∀ i, TopologicalSpace (α i)] {I : Set ι}
{s : ∀ i, Set (α i)} {x : ∀ i, α i} : 𝓝[pi I s] x = ⊥ ↔ ∃ i ∈ I, 𝓝[s i] x i = ⊥ := by
simp only [nhdsWithin, nhds_pi, pi_inf_principal_pi_eq_bot]
#align nhds_within_pi_eq_bot nhdsWithin_pi_eq_bot
theorem nhdsWithin_pi_neBot {ι : Type*} {α : ι → Type*} [∀ i, TopologicalSpace (α i)] {I : Set ι}
{s : ∀ i, Set (α i)} {x : ∀ i, α i} : (𝓝[pi I s] x).NeBot ↔ ∀ i ∈ I, (𝓝[s i] x i).NeBot := by
simp [neBot_iff, nhdsWithin_pi_eq_bot]
#align nhds_within_pi_ne_bot nhdsWithin_pi_neBot
theorem Filter.Tendsto.piecewise_nhdsWithin {f g : α → β} {t : Set α} [∀ x, Decidable (x ∈ t)]
{a : α} {s : Set α} {l : Filter β} (h₀ : Tendsto f (𝓝[s ∩ t] a) l)
(h₁ : Tendsto g (𝓝[s ∩ tᶜ] a) l) : Tendsto (piecewise t f g) (𝓝[s] a) l := by
apply Tendsto.piecewise <;> rwa [← nhdsWithin_inter']
#align filter.tendsto.piecewise_nhds_within Filter.Tendsto.piecewise_nhdsWithin
theorem Filter.Tendsto.if_nhdsWithin {f g : α → β} {p : α → Prop} [DecidablePred p] {a : α}
{s : Set α} {l : Filter β} (h₀ : Tendsto f (𝓝[s ∩ { x | p x }] a) l)
(h₁ : Tendsto g (𝓝[s ∩ { x | ¬p x }] a) l) :
Tendsto (fun x => if p x then f x else g x) (𝓝[s] a) l :=
h₀.piecewise_nhdsWithin h₁
#align filter.tendsto.if_nhds_within Filter.Tendsto.if_nhdsWithin
theorem map_nhdsWithin (f : α → β) (a : α) (s : Set α) :
map f (𝓝[s] a) = ⨅ t ∈ { t : Set α | a ∈ t ∧ IsOpen t }, 𝓟 (f '' (t ∩ s)) :=
((nhdsWithin_basis_open a s).map f).eq_biInf
#align map_nhds_within map_nhdsWithin
theorem tendsto_nhdsWithin_mono_left {f : α → β} {a : α} {s t : Set α} {l : Filter β} (hst : s ⊆ t)
(h : Tendsto f (𝓝[t] a) l) : Tendsto f (𝓝[s] a) l :=
h.mono_left <| nhdsWithin_mono a hst
#align tendsto_nhds_within_mono_left tendsto_nhdsWithin_mono_left
theorem tendsto_nhdsWithin_mono_right {f : β → α} {l : Filter β} {a : α} {s t : Set α} (hst : s ⊆ t)
(h : Tendsto f l (𝓝[s] a)) : Tendsto f l (𝓝[t] a) :=
h.mono_right (nhdsWithin_mono a hst)
#align tendsto_nhds_within_mono_right tendsto_nhdsWithin_mono_right
theorem tendsto_nhdsWithin_of_tendsto_nhds {f : α → β} {a : α} {s : Set α} {l : Filter β}
(h : Tendsto f (𝓝 a) l) : Tendsto f (𝓝[s] a) l :=
h.mono_left inf_le_left
#align tendsto_nhds_within_of_tendsto_nhds tendsto_nhdsWithin_of_tendsto_nhds
theorem eventually_mem_of_tendsto_nhdsWithin {f : β → α} {a : α} {s : Set α} {l : Filter β}
(h : Tendsto f l (𝓝[s] a)) : ∀ᶠ i in l, f i ∈ s := by
simp_rw [nhdsWithin_eq, tendsto_iInf, mem_setOf_eq, tendsto_principal, mem_inter_iff,
eventually_and] at h
exact (h univ ⟨mem_univ a, isOpen_univ⟩).2
#align eventually_mem_of_tendsto_nhds_within eventually_mem_of_tendsto_nhdsWithin
theorem tendsto_nhds_of_tendsto_nhdsWithin {f : β → α} {a : α} {s : Set α} {l : Filter β}
(h : Tendsto f l (𝓝[s] a)) : Tendsto f l (𝓝 a) :=
h.mono_right nhdsWithin_le_nhds
#align tendsto_nhds_of_tendsto_nhds_within tendsto_nhds_of_tendsto_nhdsWithin
theorem nhdsWithin_neBot_of_mem {s : Set α} {x : α} (hx : x ∈ s) : NeBot (𝓝[s] x) :=
mem_closure_iff_nhdsWithin_neBot.1 <| subset_closure hx
#align nhds_within_ne_bot_of_mem nhdsWithin_neBot_of_mem
theorem IsClosed.mem_of_nhdsWithin_neBot {s : Set α} (hs : IsClosed s) {x : α}
(hx : NeBot <| 𝓝[s] x) : x ∈ s :=
hs.closure_eq ▸ mem_closure_iff_nhdsWithin_neBot.2 hx
#align is_closed.mem_of_nhds_within_ne_bot IsClosed.mem_of_nhdsWithin_neBot
theorem DenseRange.nhdsWithin_neBot {ι : Type*} {f : ι → α} (h : DenseRange f) (x : α) :
NeBot (𝓝[range f] x) :=
mem_closure_iff_clusterPt.1 (h x)
#align dense_range.nhds_within_ne_bot DenseRange.nhdsWithin_neBot
theorem mem_closure_pi {ι : Type*} {α : ι → Type*} [∀ i, TopologicalSpace (α i)] {I : Set ι}
{s : ∀ i, Set (α i)} {x : ∀ i, α i} : x ∈ closure (pi I s) ↔ ∀ i ∈ I, x i ∈ closure (s i) := by
simp only [mem_closure_iff_nhdsWithin_neBot, nhdsWithin_pi_neBot]
#align mem_closure_pi mem_closure_pi
theorem closure_pi_set {ι : Type*} {α : ι → Type*} [∀ i, TopologicalSpace (α i)] (I : Set ι)
(s : ∀ i, Set (α i)) : closure (pi I s) = pi I fun i => closure (s i) :=
Set.ext fun _ => mem_closure_pi
#align closure_pi_set closure_pi_set
theorem dense_pi {ι : Type*} {α : ι → Type*} [∀ i, TopologicalSpace (α i)] {s : ∀ i, Set (α i)}
(I : Set ι) (hs : ∀ i ∈ I, Dense (s i)) : Dense (pi I s) := by
simp only [dense_iff_closure_eq, closure_pi_set, pi_congr rfl fun i hi => (hs i hi).closure_eq,
pi_univ]
#align dense_pi dense_pi
theorem eventuallyEq_nhdsWithin_iff {f g : α → β} {s : Set α} {a : α} :
f =ᶠ[𝓝[s] a] g ↔ ∀ᶠ x in 𝓝 a, x ∈ s → f x = g x :=
mem_inf_principal
#align eventually_eq_nhds_within_iff eventuallyEq_nhdsWithin_iff
theorem eventuallyEq_nhdsWithin_of_eqOn {f g : α → β} {s : Set α} {a : α} (h : EqOn f g s) :
f =ᶠ[𝓝[s] a] g :=
mem_inf_of_right h
#align eventually_eq_nhds_within_of_eq_on eventuallyEq_nhdsWithin_of_eqOn
theorem Set.EqOn.eventuallyEq_nhdsWithin {f g : α → β} {s : Set α} {a : α} (h : EqOn f g s) :
f =ᶠ[𝓝[s] a] g :=
eventuallyEq_nhdsWithin_of_eqOn h
#align set.eq_on.eventually_eq_nhds_within Set.EqOn.eventuallyEq_nhdsWithin
theorem tendsto_nhdsWithin_congr {f g : α → β} {s : Set α} {a : α} {l : Filter β}
(hfg : ∀ x ∈ s, f x = g x) (hf : Tendsto f (𝓝[s] a) l) : Tendsto g (𝓝[s] a) l :=
(tendsto_congr' <| eventuallyEq_nhdsWithin_of_eqOn hfg).1 hf
#align tendsto_nhds_within_congr tendsto_nhdsWithin_congr
theorem eventually_nhdsWithin_of_forall {s : Set α} {a : α} {p : α → Prop} (h : ∀ x ∈ s, p x) :
∀ᶠ x in 𝓝[s] a, p x :=
mem_inf_of_right h
#align eventually_nhds_within_of_forall eventually_nhdsWithin_of_forall
theorem tendsto_nhdsWithin_of_tendsto_nhds_of_eventually_within {a : α} {l : Filter β} {s : Set α}
(f : β → α) (h1 : Tendsto f l (𝓝 a)) (h2 : ∀ᶠ x in l, f x ∈ s) : Tendsto f l (𝓝[s] a) :=
tendsto_inf.2 ⟨h1, tendsto_principal.2 h2⟩
#align tendsto_nhds_within_of_tendsto_nhds_of_eventually_within tendsto_nhdsWithin_of_tendsto_nhds_of_eventually_within
theorem tendsto_nhdsWithin_iff {a : α} {l : Filter β} {s : Set α} {f : β → α} :
Tendsto f l (𝓝[s] a) ↔ Tendsto f l (𝓝 a) ∧ ∀ᶠ n in l, f n ∈ s :=
⟨fun h => ⟨tendsto_nhds_of_tendsto_nhdsWithin h, eventually_mem_of_tendsto_nhdsWithin h⟩, fun h =>
tendsto_nhdsWithin_of_tendsto_nhds_of_eventually_within _ h.1 h.2⟩
#align tendsto_nhds_within_iff tendsto_nhdsWithin_iff
@[simp]
theorem tendsto_nhdsWithin_range {a : α} {l : Filter β} {f : β → α} :
Tendsto f l (𝓝[range f] a) ↔ Tendsto f l (𝓝 a) :=
⟨fun h => h.mono_right inf_le_left, fun h =>
tendsto_inf.2 ⟨h, tendsto_principal.2 <| eventually_of_forall mem_range_self⟩⟩
#align tendsto_nhds_within_range tendsto_nhdsWithin_range
theorem Filter.EventuallyEq.eq_of_nhdsWithin {s : Set α} {f g : α → β} {a : α} (h : f =ᶠ[𝓝[s] a] g)
(hmem : a ∈ s) : f a = g a :=
h.self_of_nhdsWithin hmem
#align filter.eventually_eq.eq_of_nhds_within Filter.EventuallyEq.eq_of_nhdsWithin
theorem eventually_nhdsWithin_of_eventually_nhds {α : Type*} [TopologicalSpace α] {s : Set α}
{a : α} {p : α → Prop} (h : ∀ᶠ x in 𝓝 a, p x) : ∀ᶠ x in 𝓝[s] a, p x :=
mem_nhdsWithin_of_mem_nhds h
#align eventually_nhds_within_of_eventually_nhds eventually_nhdsWithin_of_eventually_nhds
theorem mem_nhdsWithin_subtype {s : Set α} {a : { x // x ∈ s }} {t u : Set { x // x ∈ s }} :
t ∈ 𝓝[u] a ↔ t ∈ comap ((↑) : s → α) (𝓝[(↑) '' u] a) := by
rw [nhdsWithin, nhds_subtype, principal_subtype, ← comap_inf, ← nhdsWithin]
#align mem_nhds_within_subtype mem_nhdsWithin_subtype
theorem nhdsWithin_subtype (s : Set α) (a : { x // x ∈ s }) (t : Set { x // x ∈ s }) :
𝓝[t] a = comap ((↑) : s → α) (𝓝[(↑) '' t] a) :=
Filter.ext fun _ => mem_nhdsWithin_subtype
#align nhds_within_subtype nhdsWithin_subtype
theorem nhdsWithin_eq_map_subtype_coe {s : Set α} {a : α} (h : a ∈ s) :
𝓝[s] a = map ((↑) : s → α) (𝓝 ⟨a, h⟩) :=
(map_nhds_subtype_val ⟨a, h⟩).symm
#align nhds_within_eq_map_subtype_coe nhdsWithin_eq_map_subtype_coe
theorem mem_nhds_subtype_iff_nhdsWithin {s : Set α} {a : s} {t : Set s} :
t ∈ 𝓝 a ↔ (↑) '' t ∈ 𝓝[s] (a : α) := by
rw [← map_nhds_subtype_val, image_mem_map_iff Subtype.val_injective]
#align mem_nhds_subtype_iff_nhds_within mem_nhds_subtype_iff_nhdsWithin
theorem preimage_coe_mem_nhds_subtype {s t : Set α} {a : s} : (↑) ⁻¹' t ∈ 𝓝 a ↔ t ∈ 𝓝[s] ↑a := by
rw [← map_nhds_subtype_val, mem_map]
#align preimage_coe_mem_nhds_subtype preimage_coe_mem_nhds_subtype
theorem eventually_nhds_subtype_iff (s : Set α) (a : s) (P : α → Prop) :
(∀ᶠ x : s in 𝓝 a, P x) ↔ ∀ᶠ x in 𝓝[s] a, P x :=
preimage_coe_mem_nhds_subtype
theorem frequently_nhds_subtype_iff (s : Set α) (a : s) (P : α → Prop) :
(∃ᶠ x : s in 𝓝 a, P x) ↔ ∃ᶠ x in 𝓝[s] a, P x :=
eventually_nhds_subtype_iff s a (¬ P ·) |>.not
theorem tendsto_nhdsWithin_iff_subtype {s : Set α} {a : α} (h : a ∈ s) (f : α → β) (l : Filter β) :
Tendsto f (𝓝[s] a) l ↔ Tendsto (s.restrict f) (𝓝 ⟨a, h⟩) l := by
rw [nhdsWithin_eq_map_subtype_coe h, tendsto_map'_iff]; rfl
#align tendsto_nhds_within_iff_subtype tendsto_nhdsWithin_iff_subtype
variable [TopologicalSpace β] [TopologicalSpace γ] [TopologicalSpace δ]
theorem ContinuousWithinAt.tendsto {f : α → β} {s : Set α} {x : α} (h : ContinuousWithinAt f s x) :
Tendsto f (𝓝[s] x) (𝓝 (f x)) :=
h
#align continuous_within_at.tendsto ContinuousWithinAt.tendsto
theorem ContinuousOn.continuousWithinAt {f : α → β} {s : Set α} {x : α} (hf : ContinuousOn f s)
(hx : x ∈ s) : ContinuousWithinAt f s x :=
hf x hx
#align continuous_on.continuous_within_at ContinuousOn.continuousWithinAt
theorem continuousWithinAt_univ (f : α → β) (x : α) :
ContinuousWithinAt f Set.univ x ↔ ContinuousAt f x := by
rw [ContinuousAt, ContinuousWithinAt, nhdsWithin_univ]
#align continuous_within_at_univ continuousWithinAt_univ
theorem continuous_iff_continuousOn_univ {f : α → β} : Continuous f ↔ ContinuousOn f univ := by
simp [continuous_iff_continuousAt, ContinuousOn, ContinuousAt, ContinuousWithinAt,
nhdsWithin_univ]
#align continuous_iff_continuous_on_univ continuous_iff_continuousOn_univ
theorem continuousWithinAt_iff_continuousAt_restrict (f : α → β) {x : α} {s : Set α} (h : x ∈ s) :
ContinuousWithinAt f s x ↔ ContinuousAt (s.restrict f) ⟨x, h⟩ :=
tendsto_nhdsWithin_iff_subtype h f _
#align continuous_within_at_iff_continuous_at_restrict continuousWithinAt_iff_continuousAt_restrict
theorem ContinuousWithinAt.tendsto_nhdsWithin {f : α → β} {x : α} {s : Set α} {t : Set β}
(h : ContinuousWithinAt f s x) (ht : MapsTo f s t) : Tendsto f (𝓝[s] x) (𝓝[t] f x) :=
tendsto_inf.2 ⟨h, tendsto_principal.2 <| mem_inf_of_right <| mem_principal.2 <| ht⟩
#align continuous_within_at.tendsto_nhds_within ContinuousWithinAt.tendsto_nhdsWithin
theorem ContinuousWithinAt.tendsto_nhdsWithin_image {f : α → β} {x : α} {s : Set α}
(h : ContinuousWithinAt f s x) : Tendsto f (𝓝[s] x) (𝓝[f '' s] f x) :=
h.tendsto_nhdsWithin (mapsTo_image _ _)
#align continuous_within_at.tendsto_nhds_within_image ContinuousWithinAt.tendsto_nhdsWithin_image
theorem ContinuousWithinAt.prod_map {f : α → γ} {g : β → δ} {s : Set α} {t : Set β} {x : α} {y : β}
(hf : ContinuousWithinAt f s x) (hg : ContinuousWithinAt g t y) :
ContinuousWithinAt (Prod.map f g) (s ×ˢ t) (x, y) := by
unfold ContinuousWithinAt at *
rw [nhdsWithin_prod_eq, Prod.map, nhds_prod_eq]
exact hf.prod_map hg
#align continuous_within_at.prod_map ContinuousWithinAt.prod_map
theorem continuousWithinAt_prod_of_discrete_left [DiscreteTopology α]
{f : α × β → γ} {s : Set (α × β)} {x : α × β} :
ContinuousWithinAt f s x ↔ ContinuousWithinAt (f ⟨x.1, ·⟩) {b | (x.1, b) ∈ s} x.2 := by
rw [← x.eta]; simp_rw [ContinuousWithinAt, nhdsWithin, nhds_prod_eq, nhds_discrete, pure_prod,
← map_inf_principal_preimage]; rfl
theorem continuousWithinAt_prod_of_discrete_right [DiscreteTopology β]
{f : α × β → γ} {s : Set (α × β)} {x : α × β} :
ContinuousWithinAt f s x ↔ ContinuousWithinAt (f ⟨·, x.2⟩) {a | (a, x.2) ∈ s} x.1 := by
rw [← x.eta]; simp_rw [ContinuousWithinAt, nhdsWithin, nhds_prod_eq, nhds_discrete, prod_pure,
← map_inf_principal_preimage]; rfl
theorem continuousAt_prod_of_discrete_left [DiscreteTopology α] {f : α × β → γ} {x : α × β} :
ContinuousAt f x ↔ ContinuousAt (f ⟨x.1, ·⟩) x.2 := by
simp_rw [← continuousWithinAt_univ]; exact continuousWithinAt_prod_of_discrete_left
theorem continuousAt_prod_of_discrete_right [DiscreteTopology β] {f : α × β → γ} {x : α × β} :
ContinuousAt f x ↔ ContinuousAt (f ⟨·, x.2⟩) x.1 := by
simp_rw [← continuousWithinAt_univ]; exact continuousWithinAt_prod_of_discrete_right
theorem continuousOn_prod_of_discrete_left [DiscreteTopology α] {f : α × β → γ} {s : Set (α × β)} :
ContinuousOn f s ↔ ∀ a, ContinuousOn (f ⟨a, ·⟩) {b | (a, b) ∈ s} := by
simp_rw [ContinuousOn, Prod.forall, continuousWithinAt_prod_of_discrete_left]; rfl
theorem continuousOn_prod_of_discrete_right [DiscreteTopology β] {f : α × β → γ} {s : Set (α × β)} :
ContinuousOn f s ↔ ∀ b, ContinuousOn (f ⟨·, b⟩) {a | (a, b) ∈ s} := by
simp_rw [ContinuousOn, Prod.forall, continuousWithinAt_prod_of_discrete_right]; apply forall_swap
theorem continuous_prod_of_discrete_left [DiscreteTopology α] {f : α × β → γ} :
Continuous f ↔ ∀ a, Continuous (f ⟨a, ·⟩) := by
simp_rw [continuous_iff_continuousOn_univ]; exact continuousOn_prod_of_discrete_left
theorem continuous_prod_of_discrete_right [DiscreteTopology β] {f : α × β → γ} :
Continuous f ↔ ∀ b, Continuous (f ⟨·, b⟩) := by
simp_rw [continuous_iff_continuousOn_univ]; exact continuousOn_prod_of_discrete_right
theorem isOpenMap_prod_of_discrete_left [DiscreteTopology α] {f : α × β → γ} :
IsOpenMap f ↔ ∀ a, IsOpenMap (f ⟨a, ·⟩) := by
simp_rw [isOpenMap_iff_nhds_le, Prod.forall, nhds_prod_eq, nhds_discrete, pure_prod, map_map]
rfl
theorem isOpenMap_prod_of_discrete_right [DiscreteTopology β] {f : α × β → γ} :
IsOpenMap f ↔ ∀ b, IsOpenMap (f ⟨·, b⟩) := by
simp_rw [isOpenMap_iff_nhds_le, Prod.forall, forall_swap (α := α) (β := β), nhds_prod_eq,
nhds_discrete, prod_pure, map_map]; rfl
theorem continuousWithinAt_pi {ι : Type*} {π : ι → Type*} [∀ i, TopologicalSpace (π i)]
{f : α → ∀ i, π i} {s : Set α} {x : α} :
ContinuousWithinAt f s x ↔ ∀ i, ContinuousWithinAt (fun y => f y i) s x :=
tendsto_pi_nhds
#align continuous_within_at_pi continuousWithinAt_pi
theorem continuousOn_pi {ι : Type*} {π : ι → Type*} [∀ i, TopologicalSpace (π i)]
{f : α → ∀ i, π i} {s : Set α} : ContinuousOn f s ↔ ∀ i, ContinuousOn (fun y => f y i) s :=
⟨fun h i x hx => tendsto_pi_nhds.1 (h x hx) i, fun h x hx => tendsto_pi_nhds.2 fun i => h i x hx⟩
#align continuous_on_pi continuousOn_pi
@[fun_prop]
theorem continuousOn_pi' {ι : Type*} {π : ι → Type*} [∀ i, TopologicalSpace (π i)]
{f : α → ∀ i, π i} {s : Set α} (hf : ∀ i, ContinuousOn (fun y => f y i) s) :
ContinuousOn f s :=
continuousOn_pi.2 hf
theorem ContinuousWithinAt.fin_insertNth {n} {π : Fin (n + 1) → Type*}
[∀ i, TopologicalSpace (π i)] (i : Fin (n + 1)) {f : α → π i} {a : α} {s : Set α}
(hf : ContinuousWithinAt f s a) {g : α → ∀ j : Fin n, π (i.succAbove j)}
(hg : ContinuousWithinAt g s a) : ContinuousWithinAt (fun a => i.insertNth (f a) (g a)) s a :=
hf.tendsto.fin_insertNth i hg
#align continuous_within_at.fin_insert_nth ContinuousWithinAt.fin_insertNth
nonrec theorem ContinuousOn.fin_insertNth {n} {π : Fin (n + 1) → Type*}
[∀ i, TopologicalSpace (π i)] (i : Fin (n + 1)) {f : α → π i} {s : Set α}
(hf : ContinuousOn f s) {g : α → ∀ j : Fin n, π (i.succAbove j)} (hg : ContinuousOn g s) :
ContinuousOn (fun a => i.insertNth (f a) (g a)) s := fun a ha =>
(hf a ha).fin_insertNth i (hg a ha)
#align continuous_on.fin_insert_nth ContinuousOn.fin_insertNth
theorem continuousOn_iff {f : α → β} {s : Set α} :
ContinuousOn f s ↔
∀ x ∈ s, ∀ t : Set β, IsOpen t → f x ∈ t → ∃ u, IsOpen u ∧ x ∈ u ∧ u ∩ s ⊆ f ⁻¹' t := by
simp only [ContinuousOn, ContinuousWithinAt, tendsto_nhds, mem_nhdsWithin]
#align continuous_on_iff continuousOn_iff
theorem continuousOn_iff_continuous_restrict {f : α → β} {s : Set α} :
ContinuousOn f s ↔ Continuous (s.restrict f) := by
rw [ContinuousOn, continuous_iff_continuousAt]; constructor
· rintro h ⟨x, xs⟩
exact (continuousWithinAt_iff_continuousAt_restrict f xs).mp (h x xs)
intro h x xs
exact (continuousWithinAt_iff_continuousAt_restrict f xs).mpr (h ⟨x, xs⟩)
#align continuous_on_iff_continuous_restrict continuousOn_iff_continuous_restrict
-- Porting note: 2 new lemmas
alias ⟨ContinuousOn.restrict, _⟩ := continuousOn_iff_continuous_restrict
theorem ContinuousOn.restrict_mapsTo {f : α → β} {s : Set α} {t : Set β} (hf : ContinuousOn f s)
(ht : MapsTo f s t) : Continuous (ht.restrict f s t) :=
hf.restrict.codRestrict _
theorem continuousOn_iff' {f : α → β} {s : Set α} :
ContinuousOn f s ↔ ∀ t : Set β, IsOpen t → ∃ u, IsOpen u ∧ f ⁻¹' t ∩ s = u ∩ s := by
have : ∀ t, IsOpen (s.restrict f ⁻¹' t) ↔ ∃ u : Set α, IsOpen u ∧ f ⁻¹' t ∩ s = u ∩ s := by
intro t
rw [isOpen_induced_iff, Set.restrict_eq, Set.preimage_comp]
simp only [Subtype.preimage_coe_eq_preimage_coe_iff]
constructor <;>
· rintro ⟨u, ou, useq⟩
exact ⟨u, ou, by simpa only [Set.inter_comm, eq_comm] using useq⟩
rw [continuousOn_iff_continuous_restrict, continuous_def]; simp only [this]
#align continuous_on_iff' continuousOn_iff'
theorem ContinuousOn.mono_dom {α β : Type*} {t₁ t₂ : TopologicalSpace α} {t₃ : TopologicalSpace β}
(h₁ : t₂ ≤ t₁) {s : Set α} {f : α → β} (h₂ : @ContinuousOn α β t₁ t₃ f s) :
@ContinuousOn α β t₂ t₃ f s := fun x hx _u hu =>
map_mono (inf_le_inf_right _ <| nhds_mono h₁) (h₂ x hx hu)
#align continuous_on.mono_dom ContinuousOn.mono_dom
theorem ContinuousOn.mono_rng {α β : Type*} {t₁ : TopologicalSpace α} {t₂ t₃ : TopologicalSpace β}
(h₁ : t₂ ≤ t₃) {s : Set α} {f : α → β} (h₂ : @ContinuousOn α β t₁ t₂ f s) :
@ContinuousOn α β t₁ t₃ f s := fun x hx _u hu =>
h₂ x hx <| nhds_mono h₁ hu
#align continuous_on.mono_rng ContinuousOn.mono_rng
theorem continuousOn_iff_isClosed {f : α → β} {s : Set α} :
ContinuousOn f s ↔ ∀ t : Set β, IsClosed t → ∃ u, IsClosed u ∧ f ⁻¹' t ∩ s = u ∩ s := by
have : ∀ t, IsClosed (s.restrict f ⁻¹' t) ↔ ∃ u : Set α, IsClosed u ∧ f ⁻¹' t ∩ s = u ∩ s := by
intro t
rw [isClosed_induced_iff, Set.restrict_eq, Set.preimage_comp]
simp only [Subtype.preimage_coe_eq_preimage_coe_iff, eq_comm, Set.inter_comm s]
rw [continuousOn_iff_continuous_restrict, continuous_iff_isClosed]; simp only [this]
#align continuous_on_iff_is_closed continuousOn_iff_isClosed
theorem ContinuousOn.prod_map {f : α → γ} {g : β → δ} {s : Set α} {t : Set β}
(hf : ContinuousOn f s) (hg : ContinuousOn g t) : ContinuousOn (Prod.map f g) (s ×ˢ t) :=
fun ⟨x, y⟩ ⟨hx, hy⟩ => ContinuousWithinAt.prod_map (hf x hx) (hg y hy)
#align continuous_on.prod_map ContinuousOn.prod_map
theorem continuous_of_cover_nhds {ι : Sort*} {f : α → β} {s : ι → Set α}
(hs : ∀ x : α, ∃ i, s i ∈ 𝓝 x) (hf : ∀ i, ContinuousOn f (s i)) :
Continuous f :=
continuous_iff_continuousAt.mpr fun x ↦ let ⟨i, hi⟩ := hs x; by
rw [ContinuousAt, ← nhdsWithin_eq_nhds.2 hi]
exact hf _ _ (mem_of_mem_nhds hi)
#align continuous_of_cover_nhds continuous_of_cover_nhds
theorem continuousOn_empty (f : α → β) : ContinuousOn f ∅ := fun _ => False.elim
#align continuous_on_empty continuousOn_empty
@[simp]
theorem continuousOn_singleton (f : α → β) (a : α) : ContinuousOn f {a} :=
forall_eq.2 <| by
simpa only [ContinuousWithinAt, nhdsWithin_singleton, tendsto_pure_left] using fun s =>
mem_of_mem_nhds
#align continuous_on_singleton continuousOn_singleton
theorem Set.Subsingleton.continuousOn {s : Set α} (hs : s.Subsingleton) (f : α → β) :
ContinuousOn f s :=
hs.induction_on (continuousOn_empty f) (continuousOn_singleton f)
#align set.subsingleton.continuous_on Set.Subsingleton.continuousOn
theorem nhdsWithin_le_comap {x : α} {s : Set α} {f : α → β} (ctsf : ContinuousWithinAt f s x) :
𝓝[s] x ≤ comap f (𝓝[f '' s] f x) :=
ctsf.tendsto_nhdsWithin_image.le_comap
#align nhds_within_le_comap nhdsWithin_le_comap
@[simp]
theorem comap_nhdsWithin_range {α} (f : α → β) (y : β) : comap f (𝓝[range f] y) = comap f (𝓝 y) :=
comap_inf_principal_range
#align comap_nhds_within_range comap_nhdsWithin_range
theorem ContinuousWithinAt.mono {f : α → β} {s t : Set α} {x : α} (h : ContinuousWithinAt f t x)
(hs : s ⊆ t) : ContinuousWithinAt f s x :=
h.mono_left (nhdsWithin_mono x hs)
#align continuous_within_at.mono ContinuousWithinAt.mono
theorem ContinuousWithinAt.mono_of_mem {f : α → β} {s t : Set α} {x : α}
(h : ContinuousWithinAt f t x) (hs : t ∈ 𝓝[s] x) : ContinuousWithinAt f s x :=
h.mono_left (nhdsWithin_le_of_mem hs)
#align continuous_within_at.mono_of_mem ContinuousWithinAt.mono_of_mem
theorem continuousWithinAt_congr_nhds {f : α → β} {s t : Set α} {x : α} (h : 𝓝[s] x = 𝓝[t] x) :
ContinuousWithinAt f s x ↔ ContinuousWithinAt f t x := by
simp only [ContinuousWithinAt, h]
theorem continuousWithinAt_inter' {f : α → β} {s t : Set α} {x : α} (h : t ∈ 𝓝[s] x) :
ContinuousWithinAt f (s ∩ t) x ↔ ContinuousWithinAt f s x := by
simp [ContinuousWithinAt, nhdsWithin_restrict'' s h]
#align continuous_within_at_inter' continuousWithinAt_inter'
theorem continuousWithinAt_inter {f : α → β} {s t : Set α} {x : α} (h : t ∈ 𝓝 x) :
ContinuousWithinAt f (s ∩ t) x ↔ ContinuousWithinAt f s x := by
simp [ContinuousWithinAt, nhdsWithin_restrict' s h]
#align continuous_within_at_inter continuousWithinAt_inter
| Mathlib/Topology/ContinuousOn.lean | 761 | 763 | theorem continuousWithinAt_union {f : α → β} {s t : Set α} {x : α} :
ContinuousWithinAt f (s ∪ t) x ↔ ContinuousWithinAt f s x ∧ ContinuousWithinAt f t x := by |
simp only [ContinuousWithinAt, nhdsWithin_union, tendsto_sup]
|
import Mathlib.Analysis.InnerProductSpace.TwoDim
import Mathlib.Geometry.Euclidean.Angle.Unoriented.Basic
#align_import geometry.euclidean.angle.oriented.basic from "leanprover-community/mathlib"@"f0c8bf9245297a541f468be517f1bde6195105e9"
noncomputable section
open FiniteDimensional Complex
open scoped Real RealInnerProductSpace ComplexConjugate
namespace Orientation
attribute [local instance] Complex.finrank_real_complex_fact
variable {V V' : Type*}
variable [NormedAddCommGroup V] [NormedAddCommGroup V']
variable [InnerProductSpace ℝ V] [InnerProductSpace ℝ V']
variable [Fact (finrank ℝ V = 2)] [Fact (finrank ℝ V' = 2)] (o : Orientation ℝ V (Fin 2))
local notation "ω" => o.areaForm
def oangle (x y : V) : Real.Angle :=
Complex.arg (o.kahler x y)
#align orientation.oangle Orientation.oangle
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
#align orientation.continuous_at_oangle Orientation.continuousAt_oangle
@[simp]
theorem oangle_zero_left (x : V) : o.oangle 0 x = 0 := by simp [oangle]
#align orientation.oangle_zero_left Orientation.oangle_zero_left
@[simp]
theorem oangle_zero_right (x : V) : o.oangle x 0 = 0 := by simp [oangle]
#align orientation.oangle_zero_right Orientation.oangle_zero_right
@[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
#align orientation.oangle_self Orientation.oangle_self
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
#align orientation.left_ne_zero_of_oangle_ne_zero Orientation.left_ne_zero_of_oangle_ne_zero
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
#align orientation.right_ne_zero_of_oangle_ne_zero Orientation.right_ne_zero_of_oangle_ne_zero
theorem ne_of_oangle_ne_zero {x y : V} (h : o.oangle x y ≠ 0) : x ≠ y := by
rintro rfl; simp at h
#align orientation.ne_of_oangle_ne_zero Orientation.ne_of_oangle_ne_zero
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)
#align orientation.left_ne_zero_of_oangle_eq_pi Orientation.left_ne_zero_of_oangle_eq_pi
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)
#align orientation.right_ne_zero_of_oangle_eq_pi Orientation.right_ne_zero_of_oangle_eq_pi
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)
#align orientation.ne_of_oangle_eq_pi Orientation.ne_of_oangle_eq_pi
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)
#align orientation.left_ne_zero_of_oangle_eq_pi_div_two Orientation.left_ne_zero_of_oangle_eq_pi_div_two
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)
#align orientation.right_ne_zero_of_oangle_eq_pi_div_two Orientation.right_ne_zero_of_oangle_eq_pi_div_two
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)
#align orientation.ne_of_oangle_eq_pi_div_two Orientation.ne_of_oangle_eq_pi_div_two
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)
#align orientation.left_ne_zero_of_oangle_eq_neg_pi_div_two Orientation.left_ne_zero_of_oangle_eq_neg_pi_div_two
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)
#align orientation.right_ne_zero_of_oangle_eq_neg_pi_div_two Orientation.right_ne_zero_of_oangle_eq_neg_pi_div_two
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)
#align orientation.ne_of_oangle_eq_neg_pi_div_two Orientation.ne_of_oangle_eq_neg_pi_div_two
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
#align orientation.left_ne_zero_of_oangle_sign_ne_zero Orientation.left_ne_zero_of_oangle_sign_ne_zero
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
#align orientation.right_ne_zero_of_oangle_sign_ne_zero Orientation.right_ne_zero_of_oangle_sign_ne_zero
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
#align orientation.ne_of_oangle_sign_ne_zero Orientation.ne_of_oangle_sign_ne_zero
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)
#align orientation.left_ne_zero_of_oangle_sign_eq_one Orientation.left_ne_zero_of_oangle_sign_eq_one
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)
#align orientation.right_ne_zero_of_oangle_sign_eq_one Orientation.right_ne_zero_of_oangle_sign_eq_one
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)
#align orientation.ne_of_oangle_sign_eq_one Orientation.ne_of_oangle_sign_eq_one
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)
#align orientation.left_ne_zero_of_oangle_sign_eq_neg_one Orientation.left_ne_zero_of_oangle_sign_eq_neg_one
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)
#align orientation.right_ne_zero_of_oangle_sign_eq_neg_one Orientation.right_ne_zero_of_oangle_sign_eq_neg_one
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)
#align orientation.ne_of_oangle_sign_eq_neg_one Orientation.ne_of_oangle_sign_eq_neg_one
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]
#align orientation.oangle_rev Orientation.oangle_rev
@[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]
#align orientation.oangle_add_oangle_rev Orientation.oangle_add_oangle_rev
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
#align orientation.oangle_neg_left Orientation.oangle_neg_left
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
#align orientation.oangle_neg_right Orientation.oangle_neg_right
@[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]
#align orientation.two_zsmul_oangle_neg_left Orientation.two_zsmul_oangle_neg_left
@[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]
#align orientation.two_zsmul_oangle_neg_right Orientation.two_zsmul_oangle_neg_right
@[simp]
theorem oangle_neg_neg (x y : V) : o.oangle (-x) (-y) = o.oangle x y := by simp [oangle]
#align orientation.oangle_neg_neg Orientation.oangle_neg_neg
theorem oangle_neg_left_eq_neg_right (x y : V) : o.oangle (-x) y = o.oangle x (-y) := by
rw [← neg_neg y, oangle_neg_neg, neg_neg]
#align orientation.oangle_neg_left_eq_neg_right Orientation.oangle_neg_left_eq_neg_right
@[simp]
theorem oangle_neg_self_left {x : V} (hx : x ≠ 0) : o.oangle (-x) x = π := by
simp [oangle_neg_left, hx]
#align orientation.oangle_neg_self_left Orientation.oangle_neg_self_left
@[simp]
theorem oangle_neg_self_right {x : V} (hx : x ≠ 0) : o.oangle x (-x) = π := by
simp [oangle_neg_right, hx]
#align orientation.oangle_neg_self_right Orientation.oangle_neg_self_right
-- @[simp] -- Porting note (#10618): simp can prove this
theorem two_zsmul_oangle_neg_self_left (x : V) : (2 : ℤ) • o.oangle (-x) x = 0 := by
by_cases hx : x = 0 <;> simp [hx]
#align orientation.two_zsmul_oangle_neg_self_left Orientation.two_zsmul_oangle_neg_self_left
-- @[simp] -- Porting note (#10618): simp can prove this
theorem two_zsmul_oangle_neg_self_right (x : V) : (2 : ℤ) • o.oangle x (-x) = 0 := by
by_cases hx : x = 0 <;> simp [hx]
#align orientation.two_zsmul_oangle_neg_self_right Orientation.two_zsmul_oangle_neg_self_right
@[simp]
theorem oangle_add_oangle_rev_neg_left (x y : V) : o.oangle (-x) y + o.oangle (-y) x = 0 := by
rw [oangle_neg_left_eq_neg_right, oangle_rev, add_left_neg]
#align orientation.oangle_add_oangle_rev_neg_left Orientation.oangle_add_oangle_rev_neg_left
@[simp]
theorem oangle_add_oangle_rev_neg_right (x y : V) : o.oangle x (-y) + o.oangle y (-x) = 0 := by
rw [o.oangle_rev (-x), oangle_neg_left_eq_neg_right, add_neg_self]
#align orientation.oangle_add_oangle_rev_neg_right Orientation.oangle_add_oangle_rev_neg_right
@[simp]
theorem oangle_smul_left_of_pos (x y : V) {r : ℝ} (hr : 0 < r) :
o.oangle (r • x) y = o.oangle x y := by simp [oangle, Complex.arg_real_mul _ hr]
#align orientation.oangle_smul_left_of_pos Orientation.oangle_smul_left_of_pos
@[simp]
theorem oangle_smul_right_of_pos (x y : V) {r : ℝ} (hr : 0 < r) :
o.oangle x (r • y) = o.oangle x y := by simp [oangle, Complex.arg_real_mul _ hr]
#align orientation.oangle_smul_right_of_pos Orientation.oangle_smul_right_of_pos
@[simp]
theorem oangle_smul_left_of_neg (x y : V) {r : ℝ} (hr : r < 0) :
o.oangle (r • x) y = o.oangle (-x) y := by
rw [← neg_neg r, neg_smul, ← smul_neg, o.oangle_smul_left_of_pos _ _ (neg_pos_of_neg hr)]
#align orientation.oangle_smul_left_of_neg Orientation.oangle_smul_left_of_neg
@[simp]
| Mathlib/Geometry/Euclidean/Angle/Oriented/Basic.lean | 314 | 316 | theorem oangle_smul_right_of_neg (x y : V) {r : ℝ} (hr : r < 0) :
o.oangle x (r • y) = o.oangle x (-y) := by |
rw [← neg_neg r, neg_smul, ← smul_neg, o.oangle_smul_right_of_pos _ _ (neg_pos_of_neg hr)]
|
import Mathlib.Algebra.Lie.Weights.Killing
import Mathlib.LinearAlgebra.RootSystem.Basic
noncomputable section
namespace LieAlgebra.IsKilling
open LieModule Module
variable {K L : Type*} [Field K] [CharZero K] [LieRing L] [LieAlgebra K L]
[IsKilling K L] [FiniteDimensional K L]
{H : LieSubalgebra K L} [H.IsCartanSubalgebra] [IsTriangularizable K H L]
variable (α β : Weight K H L) (hα : α.IsNonZero)
private lemma chainLength_aux {x} (hx : x ∈ rootSpace H (chainTop α β)) :
∃ n : ℕ, n • x = ⁅coroot α, x⁆ := by
by_cases hx' : x = 0
· exact ⟨0, by simp [hx']⟩
obtain ⟨h, e, f, isSl2, he, hf⟩ := exists_isSl2Triple_of_weight_isNonZero hα
obtain rfl := isSl2.h_eq_coroot hα he hf
have : isSl2.HasPrimitiveVectorWith x (chainTop α β (coroot α)) :=
have := lie_mem_weightSpace_of_mem_weightSpace he hx
⟨hx', by rw [← lie_eq_smul_of_mem_rootSpace hx]; rfl,
by rwa [weightSpace_add_chainTop α β hα] at this⟩
obtain ⟨μ, hμ⟩ := this.exists_nat
exact ⟨μ, by rw [nsmul_eq_smul_cast K, ← hμ, lie_eq_smul_of_mem_rootSpace hx]⟩
def chainLength (α β : Weight K H L) : ℕ :=
letI := Classical.propDecidable
if hα : α.IsZero then 0 else
(chainLength_aux α β hα (chainTop α β).exists_ne_zero.choose_spec.1).choose
lemma chainLength_of_isZero (hα : α.IsZero) : chainLength α β = 0 := dif_pos hα
lemma chainLength_nsmul {x} (hx : x ∈ rootSpace H (chainTop α β)) :
chainLength α β • x = ⁅coroot α, x⁆ := by
by_cases hα : α.IsZero
· rw [coroot_eq_zero_iff.mpr hα, chainLength_of_isZero _ _ hα, zero_smul, zero_lie]
let x' := (chainTop α β).exists_ne_zero.choose
have h : x' ∈ rootSpace H (chainTop α β) ∧ x' ≠ 0 :=
(chainTop α β).exists_ne_zero.choose_spec
obtain ⟨k, rfl⟩ : ∃ k : K, k • x' = x := by
simpa using (finrank_eq_one_iff_of_nonzero' ⟨x', h.1⟩ (by simpa using h.2)).mp
(finrank_rootSpace_eq_one _ (chainTop_isNonZero α β hα)) ⟨_, hx⟩
rw [lie_smul, smul_comm, chainLength, dif_neg hα, (chainLength_aux α β hα h.1).choose_spec]
lemma chainLength_smul {x} (hx : x ∈ rootSpace H (chainTop α β)) :
(chainLength α β : K) • x = ⁅coroot α, x⁆ := by
rw [← nsmul_eq_smul_cast, chainLength_nsmul _ _ hx]
lemma apply_coroot_eq_cast' :
β (coroot α) = ↑(chainLength α β - 2 * chainTopCoeff α β : ℤ) := by
by_cases hα : α.IsZero
· rw [coroot_eq_zero_iff.mpr hα, chainLength, dif_pos hα, hα.eq, chainTopCoeff_zero, map_zero,
CharP.cast_eq_zero, mul_zero, sub_self, Int.cast_zero]
obtain ⟨x, hx, x_ne0⟩ := (chainTop α β).exists_ne_zero
have := chainLength_smul _ _ hx
rw [lie_eq_smul_of_mem_rootSpace hx, ← sub_eq_zero, ← sub_smul,
smul_eq_zero_iff_left x_ne0, sub_eq_zero, coe_chainTop', nsmul_eq_mul, Pi.natCast_def,
Pi.add_apply, Pi.mul_apply, root_apply_coroot hα] at this
simp only [Int.cast_sub, Int.cast_natCast, Int.cast_mul, Int.cast_ofNat, eq_sub_iff_add_eq',
this, mul_comm (2 : K)]
lemma rootSpace_neg_nsmul_add_chainTop_of_le {n : ℕ} (hn : n ≤ chainLength α β) :
rootSpace H (- (n • α) + chainTop α β) ≠ ⊥ := by
by_cases hα : α.IsZero
· simpa only [hα.eq, smul_zero, neg_zero, chainTop_zero, zero_add, ne_eq] using β.2
obtain ⟨x, hx, x_ne0⟩ := (chainTop α β).exists_ne_zero
obtain ⟨h, e, f, isSl2, he, hf⟩ := exists_isSl2Triple_of_weight_isNonZero hα
obtain rfl := isSl2.h_eq_coroot hα he hf
have prim : isSl2.HasPrimitiveVectorWith x (chainLength α β : K) :=
have := lie_mem_weightSpace_of_mem_weightSpace he hx
⟨x_ne0, (chainLength_smul _ _ hx).symm, by rwa [weightSpace_add_chainTop _ _ hα] at this⟩
simp only [← smul_neg, ne_eq, LieSubmodule.eq_bot_iff, not_forall]
exact ⟨_, toEnd_pow_apply_mem hf hx n, prim.pow_toEnd_f_ne_zero_of_eq_nat rfl hn⟩
lemma rootSpace_neg_nsmul_add_chainTop_of_lt {n : ℕ} (hn : chainLength α β < n) :
rootSpace H (- (n • α) + chainTop α β) = ⊥ := by
by_contra e
let W : Weight K H L := ⟨_, e⟩
have hW : (W : H → K) = - (n • α) + chainTop α β := rfl
have H₁ : 1 + n + chainTopCoeff (-α) W ≤ chainLength (-α) W := by
have := apply_coroot_eq_cast' (-α) W
simp only [coroot_neg, map_neg, hW, nsmul_eq_mul, Pi.natCast_def, coe_chainTop, zsmul_eq_mul,
Int.cast_natCast, Pi.add_apply, Pi.neg_apply, Pi.mul_apply, root_apply_coroot hα, mul_two,
neg_add_rev, apply_coroot_eq_cast' α β, Int.cast_sub, Int.cast_mul, Int.cast_ofNat,
mul_comm (2 : K), add_sub_cancel, neg_neg, add_sub, Nat.cast_inj,
eq_sub_iff_add_eq, ← Nat.cast_add, ← sub_eq_neg_add, sub_eq_iff_eq_add] at this
linarith [this, hn]
have H₂ : ((1 + n + chainTopCoeff (-α) W) • α + chainTop (-α) W : H → K) =
(chainTopCoeff α β + 1) • α + β := by
simp only [Weight.coe_neg, nsmul_eq_smul_cast ℤ, Nat.cast_add, Nat.cast_one, coe_chainTop,
smul_neg, ← neg_smul, hW, ← add_assoc, ← add_smul, ← sub_eq_add_neg]
congr 2
ring
have := rootSpace_neg_nsmul_add_chainTop_of_le (-α) W H₁
rw [Weight.coe_neg, ← smul_neg, neg_neg, ← Weight.coe_neg, H₂] at this
exact this (weightSpace_chainTopCoeff_add_one_nsmul_add α β hα)
lemma chainTopCoeff_le_chainLength : chainTopCoeff α β ≤ chainLength α β := by
by_cases hα : α.IsZero
· simp only [hα.eq, chainTopCoeff_zero, zero_le]
rw [← not_lt, ← Nat.succ_le]
intro e
apply weightSpace_nsmul_add_ne_bot_of_le α β
(Nat.sub_le (chainTopCoeff α β) (chainLength α β).succ)
rw [nsmul_eq_smul_cast ℤ, Nat.cast_sub e, sub_smul, sub_eq_neg_add,
add_assoc, ← coe_chainTop, ← nsmul_eq_smul_cast]
exact rootSpace_neg_nsmul_add_chainTop_of_lt α β hα (Nat.lt_succ_self _)
lemma chainBotCoeff_add_chainTopCoeff :
chainBotCoeff α β + chainTopCoeff α β = chainLength α β := by
by_cases hα : α.IsZero
· rw [hα.eq, chainTopCoeff_zero, chainBotCoeff_zero, zero_add, chainLength_of_isZero α β hα]
apply le_antisymm
· rw [← Nat.le_sub_iff_add_le (chainTopCoeff_le_chainLength α β),
← not_lt, ← Nat.succ_le, chainBotCoeff, ← Weight.coe_neg]
intro e
apply weightSpace_nsmul_add_ne_bot_of_le _ _ e
rw [nsmul_eq_smul_cast ℤ, Nat.cast_succ, Nat.cast_sub (chainTopCoeff_le_chainLength α β),
LieModule.Weight.coe_neg, smul_neg, ← neg_smul, neg_add_rev, neg_sub, sub_eq_neg_add,
← add_assoc, ← neg_add_rev, add_smul, add_assoc, ← coe_chainTop, neg_smul,
← @Nat.cast_one ℤ, ← Nat.cast_add, ← nsmul_eq_smul_cast]
exact rootSpace_neg_nsmul_add_chainTop_of_lt α β hα (Nat.lt_succ_self _)
· rw [← not_lt]
intro e
apply rootSpace_neg_nsmul_add_chainTop_of_le α β e
rw [← Nat.succ_add, nsmul_eq_smul_cast ℤ, ← neg_smul, coe_chainTop, ← add_assoc, ← add_smul,
Nat.cast_add, neg_add, add_assoc, neg_add_self, add_zero, neg_smul, ← smul_neg,
← nsmul_eq_smul_cast]
exact weightSpace_chainTopCoeff_add_one_nsmul_add (-α) β (Weight.IsNonZero.neg hα)
lemma chainTopCoeff_add_chainBotCoeff :
chainTopCoeff α β + chainBotCoeff α β = chainLength α β := by
rw [add_comm, chainBotCoeff_add_chainTopCoeff]
lemma chainBotCoeff_le_chainLength : chainBotCoeff α β ≤ chainLength α β :=
(Nat.le_add_left _ _).trans_eq (chainTopCoeff_add_chainBotCoeff α β)
@[simp]
lemma chainLength_neg :
chainLength (-α) β = chainLength α β := by
rw [← chainBotCoeff_add_chainTopCoeff, ← chainBotCoeff_add_chainTopCoeff, add_comm,
Weight.coe_neg, chainTopCoeff_neg, chainBotCoeff_neg]
@[simp]
lemma chainLength_zero [Nontrivial L] : chainLength 0 β = 0 := by
simp [← chainBotCoeff_add_chainTopCoeff]
lemma apply_coroot_eq_cast :
β (coroot α) = (chainBotCoeff α β - chainTopCoeff α β : ℤ) := by
rw [apply_coroot_eq_cast', ← chainTopCoeff_add_chainBotCoeff]; congr 1; omega
lemma le_chainBotCoeff_of_rootSpace_ne_top (n : ℤ) (hn : rootSpace H (-n • α + β) ≠ ⊥) :
n ≤ chainBotCoeff α β := by
contrapose! hn
lift n to ℕ using (Nat.cast_nonneg _).trans hn.le
rw [Nat.cast_lt, ← @Nat.add_lt_add_iff_right (chainTopCoeff α β),
chainBotCoeff_add_chainTopCoeff] at hn
have := rootSpace_neg_nsmul_add_chainTop_of_lt α β hα hn
rwa [nsmul_eq_smul_cast ℤ, ← neg_smul, coe_chainTop, ← add_assoc,
← add_smul, Nat.cast_add, neg_add, add_assoc, neg_add_self, add_zero] at this
lemma rootSpace_zsmul_add_ne_bot_iff (n : ℤ) :
rootSpace H (n • α + β) ≠ ⊥ ↔ n ≤ chainTopCoeff α β ∧ -n ≤ chainBotCoeff α β := by
constructor
· refine (fun hn ↦ ⟨?_, le_chainBotCoeff_of_rootSpace_ne_top α β hα _ (by rwa [neg_neg])⟩)
rw [← chainBotCoeff_neg, ← Weight.coe_neg]
apply le_chainBotCoeff_of_rootSpace_ne_top _ _ hα.neg
rwa [neg_smul, Weight.coe_neg, smul_neg, neg_neg]
· rintro ⟨h₁, h₂⟩
set k := chainTopCoeff α β - n with hk; clear_value k
lift k to ℕ using (by rw [hk, le_sub_iff_add_le, zero_add]; exact h₁)
rw [eq_sub_iff_add_eq, ← eq_sub_iff_add_eq'] at hk
subst hk
simp only [neg_sub, tsub_le_iff_right, ← Nat.cast_add, Nat.cast_le,
chainBotCoeff_add_chainTopCoeff] at h₂
have := rootSpace_neg_nsmul_add_chainTop_of_le α β h₂
rwa [coe_chainTop, nsmul_eq_smul_cast ℤ, ← neg_smul,
← add_assoc, ← add_smul, ← sub_eq_neg_add] at this
lemma rootSpace_zsmul_add_ne_bot_iff_mem (n : ℤ) :
rootSpace H (n • α + β) ≠ ⊥ ↔ n ∈ Finset.Icc (-chainBotCoeff α β : ℤ) (chainTopCoeff α β) := by
rw [rootSpace_zsmul_add_ne_bot_iff α β hα n, Finset.mem_Icc, and_comm, neg_le]
lemma chainTopCoeff_of_eq_zsmul_add (β' : Weight K H L) (n : ℤ) (hβ' : (β' : H → K) = n • α + β) :
chainTopCoeff α β' = chainTopCoeff α β - n := by
apply le_antisymm
· refine le_sub_iff_add_le.mpr ((rootSpace_zsmul_add_ne_bot_iff α β hα _).mp ?_).1
rw [add_smul, add_assoc, ← hβ', ← coe_chainTop]
exact (chainTop α β').2
· refine ((rootSpace_zsmul_add_ne_bot_iff α β' hα _).mp ?_).1
rw [hβ', ← add_assoc, ← add_smul, sub_add_cancel, ← coe_chainTop]
exact (chainTop α β).2
lemma chainBotCoeff_of_eq_zsmul_add (β' : Weight K H L) (n : ℤ) (hβ' : (β' : H → K) = n • α + β) :
chainBotCoeff α β' = chainBotCoeff α β + n := by
have : (β' : H → K) = -n • (-α) + β := by rwa [neg_smul, smul_neg, neg_neg]
rw [chainBotCoeff, chainBotCoeff, ← Weight.coe_neg,
chainTopCoeff_of_eq_zsmul_add (-α) β hα.neg β' (-n) this, sub_neg_eq_add]
lemma chainLength_of_eq_zsmul_add (β' : Weight K H L) (n : ℤ) (hβ' : (β' : H → K) = n • α + β) :
chainLength α β' = chainLength α β := by
by_cases hα : α.IsZero
· rw [chainLength_of_isZero _ _ hα, chainLength_of_isZero _ _ hα]
· apply Nat.cast_injective (R := ℤ)
rw [← chainTopCoeff_add_chainBotCoeff, ← chainTopCoeff_add_chainBotCoeff,
Nat.cast_add, Nat.cast_add, chainTopCoeff_of_eq_zsmul_add α β hα β' n hβ',
chainBotCoeff_of_eq_zsmul_add α β hα β' n hβ', sub_eq_add_neg, add_add_add_comm,
neg_add_self, add_zero]
lemma chainTopCoeff_zero_right [Nontrivial L] :
chainTopCoeff α (0 : Weight K H L) = 1 := by
symm
apply eq_of_le_of_not_lt
· rw [Nat.one_le_iff_ne_zero]
intro e
exact α.2 (by simpa [e, Weight.coe_zero] using
weightSpace_chainTopCoeff_add_one_nsmul_add α (0 : Weight K H L) hα)
obtain ⟨x, hx, x_ne0⟩ := (chainTop α (0 : Weight K H L)).exists_ne_zero
obtain ⟨h, e, f, isSl2, he, hf⟩ := exists_isSl2Triple_of_weight_isNonZero hα
obtain rfl := isSl2.h_eq_coroot hα he hf
have prim : isSl2.HasPrimitiveVectorWith x (chainLength α (0 : Weight K H L) : K) :=
have := lie_mem_weightSpace_of_mem_weightSpace he hx
⟨x_ne0, (chainLength_smul _ _ hx).symm, by rwa [weightSpace_add_chainTop _ _ hα] at this⟩
obtain ⟨k, hk⟩ : ∃ k : K, k • f =
(toEnd K L L f ^ (chainTopCoeff α (0 : Weight K H L) + 1)) x := by
have : (toEnd K L L f ^ (chainTopCoeff α (0 : Weight K H L) + 1)) x ∈ rootSpace H (-α) := by
convert toEnd_pow_apply_mem hf hx (chainTopCoeff α (0 : Weight K H L) + 1) using 2
rw [coe_chainTop', Weight.coe_zero, add_zero, succ_nsmul',
add_assoc, smul_neg, neg_add_self, add_zero]
simpa using (finrank_eq_one_iff_of_nonzero' ⟨f, hf⟩ (by simpa using isSl2.f_ne_zero)).mp
(finrank_rootSpace_eq_one _ hα.neg) ⟨_, this⟩
apply_fun (⁅f, ·⁆) at hk
simp only [lie_smul, lie_self, smul_zero, prim.lie_f_pow_toEnd_f] at hk
intro e
refine prim.pow_toEnd_f_ne_zero_of_eq_nat rfl ?_ hk.symm
have := (apply_coroot_eq_cast' α 0).symm
simp only [← @Nat.cast_two ℤ, ← Nat.cast_mul, Weight.zero_apply, Int.cast_eq_zero, sub_eq_zero,
Nat.cast_inj] at this
rwa [this, Nat.succ_le, two_mul, add_lt_add_iff_left]
lemma chainBotCoeff_zero_right [Nontrivial L] : chainBotCoeff α (0 : Weight K H L) = 1 :=
chainTopCoeff_zero_right (-α) hα.neg
lemma chainLength_zero_right [Nontrivial L] : chainLength α 0 = 2 := by
rw [← chainBotCoeff_add_chainTopCoeff, chainTopCoeff_zero_right α hα,
chainBotCoeff_zero_right α hα]
lemma rootSpace_two_smul : rootSpace H (2 • α) = ⊥ := by
cases subsingleton_or_nontrivial L
· exact IsEmpty.elim inferInstance α
simpa [chainTopCoeff_zero_right α hα] using
weightSpace_chainTopCoeff_add_one_nsmul_add α (0 : Weight K H L) hα
lemma rootSpace_one_div_two_smul : rootSpace H ((2⁻¹ : K) • α) = ⊥ := by
by_contra h
let W : Weight K H L := ⟨_, h⟩
have hW : 2 • (W : H → K) = α := by
show 2 • (2⁻¹ : K) • (α : H → K) = α
rw [nsmul_eq_smul_cast K, smul_smul]; simp
apply α.weightSpace_ne_bot
have := rootSpace_two_smul W (fun (e : (W : H → K) = 0) ↦ hα <| by
apply_fun (2 • ·) at e; simpa [hW] using e)
rwa [hW] at this
lemma eq_neg_one_or_eq_zero_or_eq_one_of_eq_smul (k : K) (h : (β : H → K) = k • α) :
k = -1 ∨ k = 0 ∨ k = 1 := by
cases subsingleton_or_nontrivial L
· exact IsEmpty.elim inferInstance α
have H := apply_coroot_eq_cast' α β
rw [h] at H
simp only [Pi.smul_apply, root_apply_coroot hα] at H
rcases (chainLength α β).even_or_odd with (⟨n, hn⟩|⟨n, hn⟩)
· rw [hn, ← two_mul] at H
simp only [smul_eq_mul, Nat.cast_mul, Nat.cast_ofNat, ← mul_sub, ← mul_comm (2 : K),
Int.cast_sub, Int.cast_mul, Int.cast_ofNat, Int.cast_natCast,
mul_eq_mul_left_iff, OfNat.ofNat_ne_zero, or_false] at H
rw [← Int.cast_natCast, ← Int.cast_natCast (chainTopCoeff α β), ← Int.cast_sub] at H
have := (rootSpace_zsmul_add_ne_bot_iff_mem α 0 hα (n - chainTopCoeff α β)).mp
(by rw [zsmul_eq_smul_cast K, ← H, ← h, Weight.coe_zero, add_zero]; exact β.2)
rw [chainTopCoeff_zero_right α hα, chainBotCoeff_zero_right α hα, Nat.cast_one] at this
set k' : ℤ := n - chainTopCoeff α β
subst H
have : k' ∈ ({-1, 0, 1} : Finset ℤ) := by
show k' ∈ Finset.Icc (-1 : ℤ) (1 : ℤ)
exact this
simpa only [Int.reduceNeg, Finset.mem_insert, Finset.mem_singleton, ← @Int.cast_inj K,
Int.cast_zero, Int.cast_neg, Int.cast_one] using this
· apply_fun (· / 2) at H
rw [hn, smul_eq_mul] at H
have hk : k = n + 2⁻¹ - chainTopCoeff α β := by simpa [sub_div, add_div] using H
have := (rootSpace_zsmul_add_ne_bot_iff α β hα (chainTopCoeff α β - n)).mpr ?_
swap
· simp only [tsub_le_iff_right, le_add_iff_nonneg_right, Nat.cast_nonneg, neg_sub, true_and]
rw [← Nat.cast_add, chainBotCoeff_add_chainTopCoeff, hn]
omega
rw [h, hk, zsmul_eq_smul_cast K, ← add_smul] at this
simp only [Int.cast_sub, Int.cast_natCast,
sub_add_sub_cancel', add_sub_cancel_left, ne_eq] at this
cases this (rootSpace_one_div_two_smul α hα)
lemma eq_neg_or_eq_of_eq_smul (hβ : β.IsNonZero) (k : K) (h : (β : H → K) = k • α) :
β = -α ∨ β = α := by
by_cases hα : α.IsZero
· rw [hα, smul_zero] at h; cases hβ h
rcases eq_neg_one_or_eq_zero_or_eq_one_of_eq_smul α β hα k h with (rfl | rfl | rfl)
· exact .inl (by ext; rw [h, neg_one_smul]; rfl)
· cases hβ (by rwa [zero_smul] at h)
· exact .inr (by ext; rw [h, one_smul])
def reflectRoot (α β : Weight K H L) : Weight K H L where
toFun := β - β (coroot α) • α
weightSpace_ne_bot' := by
by_cases hα : α.IsZero
· simpa [hα.eq] using β.weightSpace_ne_bot
rw [sub_eq_neg_add, apply_coroot_eq_cast α β, ← neg_smul, ← Int.cast_neg, ← zsmul_eq_smul_cast,
rootSpace_zsmul_add_ne_bot_iff α β hα]
omega
lemma reflectRoot_isNonZero (α β : Weight K H L) (hβ : β.IsNonZero) :
(reflectRoot α β).IsNonZero := by
intro e
have : β (coroot α) = 0 := by
by_cases hα : α.IsZero
· simp [coroot_eq_zero_iff.mpr hα]
apply add_left_injective (β (coroot α))
simpa [root_apply_coroot hα, mul_two] using congr_fun (sub_eq_zero.mp e) (coroot α)
have : reflectRoot α β = β := by ext; simp [reflectRoot, this]
exact hβ (this ▸ e)
variable (H)
def rootSystem :
RootSystem {α : Weight K H L // α.IsNonZero} K (Dual K H) H :=
RootSystem.mk'
IsReflexive.toPerfectPairingDual
{ toFun := (↑)
inj' := by
intro α β h; ext x; simpa using LinearMap.congr_fun h x }
{ toFun := coroot ∘ (↑)
inj' := by rintro ⟨α, hα⟩ ⟨β, hβ⟩ h; simpa using h }
(fun α ↦ by simpa using root_apply_coroot α.property)
(by
rintro ⟨α, hα⟩ - ⟨⟨β, hβ⟩, rfl⟩
simp only [Function.Embedding.coeFn_mk, IsReflexive.toPerfectPairingDual_toLin,
Function.comp_apply, Set.mem_range, Subtype.exists, exists_prop]
exact ⟨reflectRoot α β, reflectRoot_isNonZero α β hβ, rfl⟩)
(by convert span_weight_isNonZero_eq_top K L H; ext; simp)
@[simp] lemma rootSystem_toLin_apply (f x) : (rootSystem H).toLin f x = f x := rfl
@[simp] lemma rootSystem_pairing_apply (α β) : (rootSystem H).pairing β α = β.1 (coroot α.1) := rfl
@[simp] lemma rootSystem_root_apply (α) : (rootSystem H).root α = α := rfl
@[simp] lemma rootSystem_coroot_apply (α) : (rootSystem H).coroot α = coroot α := rfl
| Mathlib/Algebra/Lie/Weights/RootSystem.lean | 394 | 396 | theorem isCrystallographic_rootSystem : (rootSystem H).IsCrystallographic := by |
rintro α _ ⟨β, rfl⟩
exact ⟨chainBotCoeff β.1 α.1 - chainTopCoeff β.1 α.1, by simp [apply_coroot_eq_cast β.1 α.1]⟩
|
import Mathlib.RingTheory.FinitePresentation
import Mathlib.RingTheory.Localization.Away.Basic
import Mathlib.RingTheory.Localization.Away.AdjoinRoot
import Mathlib.RingTheory.QuotientNilpotent
import Mathlib.RingTheory.TensorProduct.Basic
-- Porting note: added to make the syntax work below.
open scoped TensorProduct
universe u
namespace Algebra
section
variable (R : Type u) [CommSemiring R]
variable (A : Type u) [Semiring A] [Algebra R A]
@[mk_iff]
class FormallyUnramified : Prop where
comp_injective :
∀ ⦃B : Type u⦄ [CommRing B],
∀ [Algebra R B] (I : Ideal B) (_ : I ^ 2 = ⊥),
Function.Injective ((Ideal.Quotient.mkₐ R I).comp : (A →ₐ[R] B) → A →ₐ[R] B ⧸ I)
#align algebra.formally_unramified Algebra.FormallyUnramified
end
namespace FormallyUnramified
section
variable {R : Type u} [CommSemiring R]
variable {A : Type u} [Semiring A] [Algebra R A]
variable {B : Type u} [CommRing B] [Algebra R B] (I : Ideal B)
theorem lift_unique {B : Type u} [CommRing B] [_RB : Algebra R B]
[FormallyUnramified R A] (I : Ideal B) (hI : IsNilpotent I) (g₁ g₂ : A →ₐ[R] B)
(h : (Ideal.Quotient.mkₐ R I).comp g₁ = (Ideal.Quotient.mkₐ R I).comp g₂) : g₁ = g₂ := by
revert g₁ g₂
change Function.Injective (Ideal.Quotient.mkₐ R I).comp
revert _RB
apply Ideal.IsNilpotent.induction_on (R := B) I hI
· intro B _ I hI _; exact FormallyUnramified.comp_injective I hI
· intro B _ I J hIJ h₁ h₂ _ g₁ g₂ e
apply h₁
apply h₂
ext x
replace e := AlgHom.congr_fun e x
dsimp only [AlgHom.comp_apply, Ideal.Quotient.mkₐ_eq_mk] at e ⊢
rwa [Ideal.Quotient.eq, ← map_sub, Ideal.mem_quotient_iff_mem hIJ, ← Ideal.Quotient.eq]
#align algebra.formally_unramified.lift_unique Algebra.FormallyUnramified.lift_unique
theorem ext [FormallyUnramified R A] (hI : IsNilpotent I) {g₁ g₂ : A →ₐ[R] B}
(H : ∀ x, Ideal.Quotient.mk I (g₁ x) = Ideal.Quotient.mk I (g₂ x)) : g₁ = g₂ :=
FormallyUnramified.lift_unique I hI g₁ g₂ (AlgHom.ext H)
#align algebra.formally_unramified.ext Algebra.FormallyUnramified.ext
theorem lift_unique_of_ringHom [FormallyUnramified R A] {C : Type u} [CommRing C]
(f : B →+* C) (hf : IsNilpotent <| RingHom.ker f) (g₁ g₂ : A →ₐ[R] B)
(h : f.comp ↑g₁ = f.comp (g₂ : A →+* B)) : g₁ = g₂ :=
FormallyUnramified.lift_unique _ hf _ _
(by
ext x
have := RingHom.congr_fun h x
simpa only [Ideal.Quotient.eq, Function.comp_apply, AlgHom.coe_comp, Ideal.Quotient.mkₐ_eq_mk,
RingHom.mem_ker, map_sub, sub_eq_zero])
#align algebra.formally_unramified.lift_unique_of_ring_hom Algebra.FormallyUnramified.lift_unique_of_ringHom
theorem ext' [FormallyUnramified R A] {C : Type u} [CommRing C] (f : B →+* C)
(hf : IsNilpotent <| RingHom.ker f) (g₁ g₂ : A →ₐ[R] B) (h : ∀ x, f (g₁ x) = f (g₂ x)) :
g₁ = g₂ :=
FormallyUnramified.lift_unique_of_ringHom f hf g₁ g₂ (RingHom.ext h)
#align algebra.formally_unramified.ext' Algebra.FormallyUnramified.ext'
theorem lift_unique' [FormallyUnramified R A] {C : Type u} [CommRing C]
[Algebra R C] (f : B →ₐ[R] C) (hf : IsNilpotent <| RingHom.ker (f : B →+* C))
(g₁ g₂ : A →ₐ[R] B) (h : f.comp g₁ = f.comp g₂) : g₁ = g₂ :=
FormallyUnramified.ext' _ hf g₁ g₂ (AlgHom.congr_fun h)
#align algebra.formally_unramified.lift_unique' Algebra.FormallyUnramified.lift_unique'
end
section Localization
variable {R S Rₘ Sₘ : Type u} [CommRing R] [CommRing S] [CommRing Rₘ] [CommRing Sₘ]
variable (M : Submonoid R)
variable [Algebra R S] [Algebra R Sₘ] [Algebra S Sₘ] [Algebra R Rₘ] [Algebra Rₘ Sₘ]
variable [IsScalarTower R Rₘ Sₘ] [IsScalarTower R S Sₘ]
variable [IsLocalization M Rₘ] [IsLocalization (M.map (algebraMap R S)) Sₘ]
-- Porting note: no longer supported
-- attribute [local elab_as_elim] Ideal.IsNilpotent.induction_on
| Mathlib/RingTheory/Unramified/Basic.lean | 201 | 207 | theorem of_isLocalization : FormallyUnramified R Rₘ := by |
constructor
intro Q _ _ I _ f₁ f₂ _
apply AlgHom.coe_ringHom_injective
refine IsLocalization.ringHom_ext M ?_
ext
simp
|
import Mathlib.Algebra.PUnitInstances
import Mathlib.Tactic.Abel
import Mathlib.Tactic.Ring
import Mathlib.Order.Hom.Lattice
#align_import algebra.ring.boolean_ring from "leanprover-community/mathlib"@"e8638a0fcaf73e4500469f368ef9494e495099b3"
open scoped symmDiff
variable {α β γ : Type*}
class BooleanRing (α) extends Ring α where
mul_self : ∀ a : α, a * a = a
#align boolean_ring BooleanRing
section BooleanRing
variable [BooleanRing α] (a b : α)
instance : Std.IdempotentOp (α := α) (· * ·) :=
⟨BooleanRing.mul_self⟩
@[simp]
theorem mul_self : a * a = a :=
BooleanRing.mul_self _
#align mul_self mul_self
@[simp]
theorem add_self : a + a = 0 := by
have : a + a = a + a + (a + a) :=
calc
a + a = (a + a) * (a + a) := by rw [mul_self]
_ = a * a + a * a + (a * a + a * a) := by rw [add_mul, mul_add]
_ = a + a + (a + a) := by rw [mul_self]
rwa [self_eq_add_left] at this
#align add_self add_self
@[simp]
theorem neg_eq : -a = a :=
calc
-a = -a + 0 := by rw [add_zero]
_ = -a + -a + a := by rw [← neg_add_self, add_assoc]
_ = a := by rw [add_self, zero_add]
#align neg_eq neg_eq
theorem add_eq_zero' : a + b = 0 ↔ a = b :=
calc
a + b = 0 ↔ a = -b := add_eq_zero_iff_eq_neg
_ ↔ a = b := by rw [neg_eq]
#align add_eq_zero' add_eq_zero'
@[simp]
theorem mul_add_mul : a * b + b * a = 0 := by
have : a + b = a + b + (a * b + b * a) :=
calc
a + b = (a + b) * (a + b) := by rw [mul_self]
_ = a * a + a * b + (b * a + b * b) := by rw [add_mul, mul_add, mul_add]
_ = a + a * b + (b * a + b) := by simp only [mul_self]
_ = a + b + (a * b + b * a) := by abel
rwa [self_eq_add_right] at this
#align mul_add_mul mul_add_mul
@[simp]
| Mathlib/Algebra/Ring/BooleanRing.lean | 101 | 101 | theorem sub_eq_add : a - b = a + b := by | rw [sub_eq_add_neg, add_right_inj, neg_eq]
|
import Mathlib.Order.Interval.Finset.Nat
#align_import data.fin.interval from "leanprover-community/mathlib"@"1d29de43a5ba4662dd33b5cfeecfc2a27a5a8a29"
assert_not_exists MonoidWithZero
open Finset Fin Function
namespace Fin
variable (n : ℕ)
instance instLocallyFiniteOrder : LocallyFiniteOrder (Fin n) :=
OrderIso.locallyFiniteOrder Fin.orderIsoSubtype
instance instLocallyFiniteOrderBot : LocallyFiniteOrderBot (Fin n) :=
OrderIso.locallyFiniteOrderBot Fin.orderIsoSubtype
instance instLocallyFiniteOrderTop : ∀ n, LocallyFiniteOrderTop (Fin n)
| 0 => IsEmpty.toLocallyFiniteOrderTop
| _ + 1 => inferInstance
variable {n} (a b : Fin n)
theorem Icc_eq_finset_subtype : Icc a b = (Icc (a : ℕ) b).fin n :=
rfl
#align fin.Icc_eq_finset_subtype Fin.Icc_eq_finset_subtype
theorem Ico_eq_finset_subtype : Ico a b = (Ico (a : ℕ) b).fin n :=
rfl
#align fin.Ico_eq_finset_subtype Fin.Ico_eq_finset_subtype
theorem Ioc_eq_finset_subtype : Ioc a b = (Ioc (a : ℕ) b).fin n :=
rfl
#align fin.Ioc_eq_finset_subtype Fin.Ioc_eq_finset_subtype
theorem Ioo_eq_finset_subtype : Ioo a b = (Ioo (a : ℕ) b).fin n :=
rfl
#align fin.Ioo_eq_finset_subtype Fin.Ioo_eq_finset_subtype
theorem uIcc_eq_finset_subtype : uIcc a b = (uIcc (a : ℕ) b).fin n := rfl
#align fin.uIcc_eq_finset_subtype Fin.uIcc_eq_finset_subtype
@[simp]
theorem map_valEmbedding_Icc : (Icc a b).map Fin.valEmbedding = Icc ↑a ↑b := by
simp [Icc_eq_finset_subtype, Finset.fin, Finset.map_map, Icc_filter_lt_of_lt_right]
#align fin.map_subtype_embedding_Icc Fin.map_valEmbedding_Icc
@[simp]
theorem map_valEmbedding_Ico : (Ico a b).map Fin.valEmbedding = Ico ↑a ↑b := by
simp [Ico_eq_finset_subtype, Finset.fin, Finset.map_map]
#align fin.map_subtype_embedding_Ico Fin.map_valEmbedding_Ico
@[simp]
theorem map_valEmbedding_Ioc : (Ioc a b).map Fin.valEmbedding = Ioc ↑a ↑b := by
simp [Ioc_eq_finset_subtype, Finset.fin, Finset.map_map, Ioc_filter_lt_of_lt_right]
#align fin.map_subtype_embedding_Ioc Fin.map_valEmbedding_Ioc
@[simp]
theorem map_valEmbedding_Ioo : (Ioo a b).map Fin.valEmbedding = Ioo ↑a ↑b := by
simp [Ioo_eq_finset_subtype, Finset.fin, Finset.map_map]
#align fin.map_subtype_embedding_Ioo Fin.map_valEmbedding_Ioo
@[simp]
theorem map_subtype_embedding_uIcc : (uIcc a b).map valEmbedding = uIcc ↑a ↑b :=
map_valEmbedding_Icc _ _
#align fin.map_subtype_embedding_uIcc Fin.map_subtype_embedding_uIcc
@[simp]
theorem card_Icc : (Icc a b).card = b + 1 - a := by
rw [← Nat.card_Icc, ← map_valEmbedding_Icc, card_map]
#align fin.card_Icc Fin.card_Icc
@[simp]
theorem card_Ico : (Ico a b).card = b - a := by
rw [← Nat.card_Ico, ← map_valEmbedding_Ico, card_map]
#align fin.card_Ico Fin.card_Ico
@[simp]
| Mathlib/Order/Interval/Finset/Fin.lean | 114 | 115 | theorem card_Ioc : (Ioc a b).card = b - a := by |
rw [← Nat.card_Ioc, ← map_valEmbedding_Ioc, card_map]
|
import Mathlib.CategoryTheory.EqToHom
#align_import category_theory.sums.basic from "leanprover-community/mathlib"@"dc6c365e751e34d100e80fe6e314c3c3e0fd2988"
namespace CategoryTheory
universe v₁ u₁
-- morphism levels before object levels. See note [category_theory universes].
open Sum
section
variable (C : Type u₁) [Category.{v₁} C] (D : Type u₁) [Category.{v₁} D]
instance sum : Category.{v₁} (Sum C D) where
Hom X Y :=
match X, Y with
| inl X, inl Y => X ⟶ Y
| inl _, inr _ => PEmpty
| inr _, inl _ => PEmpty
| inr X, inr Y => X ⟶ Y
id X :=
match X with
| inl X => 𝟙 X
| inr X => 𝟙 X
comp {X Y Z} f g :=
match X, Y, Z, f, g with
| inl X, inl Y, inl Z, f, g => f ≫ g
| inr X, inr Y, inr Z, f, g => f ≫ g
assoc {W X Y Z} f g h :=
match X, Y, Z, W with
| inl X, inl Y, inl Z, inl W => Category.assoc f g h
| inr X, inr Y, inr Z, inr W => Category.assoc f g h
#align category_theory.sum CategoryTheory.sum
@[aesop norm -10 destruct (rule_sets := [CategoryTheory])]
| Mathlib/CategoryTheory/Sums/Basic.lean | 62 | 63 | theorem hom_inl_inr_false {X : C} {Y : D} (f : Sum.inl X ⟶ Sum.inr Y) : False := by |
cases f
|
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