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import Mathlib.CategoryTheory.EpiMono
import Mathlib.CategoryTheory.Limits.HasLimits
#align_import category_theory.limits.shapes.equalizers from "leanprover-community/mathlib"@"4698e35ca56a0d4fa53aa5639c3364e0a77f4eba"
section
open CategoryTheory Opposite
namespace CategoryTheory.Limits
-- attribute [local tidy] tactic.case_bash -- Porting note: no tidy nor cases_bash
universe v v₂ u u₂
inductive WalkingParallelPair : Type
| zero
| one
deriving DecidableEq, Inhabited
#align category_theory.limits.walking_parallel_pair CategoryTheory.Limits.WalkingParallelPair
open WalkingParallelPair
inductive WalkingParallelPairHom : WalkingParallelPair → WalkingParallelPair → Type
| left : WalkingParallelPairHom zero one
| right : WalkingParallelPairHom zero one
| id (X : WalkingParallelPair) : WalkingParallelPairHom X X
deriving DecidableEq
#align category_theory.limits.walking_parallel_pair_hom CategoryTheory.Limits.WalkingParallelPairHom
attribute [-simp, nolint simpNF] WalkingParallelPairHom.id.sizeOf_spec
instance : Inhabited (WalkingParallelPairHom zero one) where default := WalkingParallelPairHom.left
open WalkingParallelPairHom
def WalkingParallelPairHom.comp :
-- Porting note: changed X Y Z to implicit to match comp fields in precategory
∀ { X Y Z : WalkingParallelPair } (_ : WalkingParallelPairHom X Y)
(_ : WalkingParallelPairHom Y Z), WalkingParallelPairHom X Z
| _, _, _, id _, h => h
| _, _, _, left, id one => left
| _, _, _, right, id one => right
#align category_theory.limits.walking_parallel_pair_hom.comp CategoryTheory.Limits.WalkingParallelPairHom.comp
-- Porting note: adding these since they are simple and aesop couldn't directly prove them
theorem WalkingParallelPairHom.id_comp
{X Y : WalkingParallelPair} (g : WalkingParallelPairHom X Y) : comp (id X) g = g :=
rfl
theorem WalkingParallelPairHom.comp_id
{X Y : WalkingParallelPair} (f : WalkingParallelPairHom X Y) : comp f (id Y) = f := by
cases f <;> rfl
theorem WalkingParallelPairHom.assoc {X Y Z W : WalkingParallelPair}
(f : WalkingParallelPairHom X Y) (g: WalkingParallelPairHom Y Z)
(h : WalkingParallelPairHom Z W) : comp (comp f g) h = comp f (comp g h) := by
cases f <;> cases g <;> cases h <;> rfl
instance walkingParallelPairHomCategory : SmallCategory WalkingParallelPair where
Hom := WalkingParallelPairHom
id := id
comp := comp
comp_id := comp_id
id_comp := id_comp
assoc := assoc
#align category_theory.limits.walking_parallel_pair_hom_category CategoryTheory.Limits.walkingParallelPairHomCategory
@[simp]
theorem walkingParallelPairHom_id (X : WalkingParallelPair) : WalkingParallelPairHom.id X = 𝟙 X :=
rfl
#align category_theory.limits.walking_parallel_pair_hom_id CategoryTheory.Limits.walkingParallelPairHom_id
-- Porting note: simpNF asked me to do this because the LHS of the non-primed version reduced
@[simp]
theorem WalkingParallelPairHom.id.sizeOf_spec' (X : WalkingParallelPair) :
(WalkingParallelPairHom._sizeOf_inst X X).sizeOf (𝟙 X) = 1 + sizeOf X := by cases X <;> rfl
def walkingParallelPairOp : WalkingParallelPair ⥤ WalkingParallelPairᵒᵖ where
obj x := op <| by cases x; exacts [one, zero]
map f := by
cases f <;> apply Quiver.Hom.op
exacts [left, right, WalkingParallelPairHom.id _]
map_comp := by rintro _ _ _ (_|_|_) g <;> cases g <;> rfl
#align category_theory.limits.walking_parallel_pair_op CategoryTheory.Limits.walkingParallelPairOp
@[simp]
theorem walkingParallelPairOp_zero : walkingParallelPairOp.obj zero = op one := rfl
#align category_theory.limits.walking_parallel_pair_op_zero CategoryTheory.Limits.walkingParallelPairOp_zero
@[simp]
theorem walkingParallelPairOp_one : walkingParallelPairOp.obj one = op zero := rfl
#align category_theory.limits.walking_parallel_pair_op_one CategoryTheory.Limits.walkingParallelPairOp_one
@[simp]
theorem walkingParallelPairOp_left :
walkingParallelPairOp.map left = @Quiver.Hom.op _ _ zero one left := rfl
#align category_theory.limits.walking_parallel_pair_op_left CategoryTheory.Limits.walkingParallelPairOp_left
@[simp]
theorem walkingParallelPairOp_right :
walkingParallelPairOp.map right = @Quiver.Hom.op _ _ zero one right := rfl
#align category_theory.limits.walking_parallel_pair_op_right CategoryTheory.Limits.walkingParallelPairOp_right
@[simps functor inverse]
def walkingParallelPairOpEquiv : WalkingParallelPair ≌ WalkingParallelPairᵒᵖ where
functor := walkingParallelPairOp
inverse := walkingParallelPairOp.leftOp
unitIso :=
NatIso.ofComponents (fun j => eqToIso (by cases j <;> rfl))
(by rintro _ _ (_ | _ | _) <;> simp)
counitIso :=
NatIso.ofComponents (fun j => eqToIso (by
induction' j with X
cases X <;> rfl))
(fun {i} {j} f => by
induction' i with i
induction' j with j
let g := f.unop
have : f = g.op := rfl
rw [this]
cases i <;> cases j <;> cases g <;> rfl)
functor_unitIso_comp := fun j => by cases j <;> rfl
#align category_theory.limits.walking_parallel_pair_op_equiv CategoryTheory.Limits.walkingParallelPairOpEquiv
@[simp]
theorem walkingParallelPairOpEquiv_unitIso_zero :
walkingParallelPairOpEquiv.unitIso.app zero = Iso.refl zero := rfl
#align category_theory.limits.walking_parallel_pair_op_equiv_unit_iso_zero CategoryTheory.Limits.walkingParallelPairOpEquiv_unitIso_zero
@[simp]
theorem walkingParallelPairOpEquiv_unitIso_one :
walkingParallelPairOpEquiv.unitIso.app one = Iso.refl one := rfl
#align category_theory.limits.walking_parallel_pair_op_equiv_unit_iso_one CategoryTheory.Limits.walkingParallelPairOpEquiv_unitIso_one
@[simp]
theorem walkingParallelPairOpEquiv_counitIso_zero :
walkingParallelPairOpEquiv.counitIso.app (op zero) = Iso.refl (op zero) := rfl
#align category_theory.limits.walking_parallel_pair_op_equiv_counit_iso_zero CategoryTheory.Limits.walkingParallelPairOpEquiv_counitIso_zero
@[simp]
theorem walkingParallelPairOpEquiv_counitIso_one :
walkingParallelPairOpEquiv.counitIso.app (op one) = Iso.refl (op one) :=
rfl
#align category_theory.limits.walking_parallel_pair_op_equiv_counit_iso_one CategoryTheory.Limits.walkingParallelPairOpEquiv_counitIso_one
variable {C : Type u} [Category.{v} C]
variable {X Y : C}
def parallelPair (f g : X ⟶ Y) : WalkingParallelPair ⥤ C where
obj x :=
match x with
| zero => X
| one => Y
map h :=
match h with
| WalkingParallelPairHom.id _ => 𝟙 _
| left => f
| right => g
-- `sorry` can cope with this, but it's too slow:
map_comp := by
rintro _ _ _ ⟨⟩ g <;> cases g <;> {dsimp; simp}
#align category_theory.limits.parallel_pair CategoryTheory.Limits.parallelPair
@[simp]
theorem parallelPair_obj_zero (f g : X ⟶ Y) : (parallelPair f g).obj zero = X := rfl
#align category_theory.limits.parallel_pair_obj_zero CategoryTheory.Limits.parallelPair_obj_zero
@[simp]
theorem parallelPair_obj_one (f g : X ⟶ Y) : (parallelPair f g).obj one = Y := rfl
#align category_theory.limits.parallel_pair_obj_one CategoryTheory.Limits.parallelPair_obj_one
@[simp]
theorem parallelPair_map_left (f g : X ⟶ Y) : (parallelPair f g).map left = f := rfl
#align category_theory.limits.parallel_pair_map_left CategoryTheory.Limits.parallelPair_map_left
@[simp]
theorem parallelPair_map_right (f g : X ⟶ Y) : (parallelPair f g).map right = g := rfl
#align category_theory.limits.parallel_pair_map_right CategoryTheory.Limits.parallelPair_map_right
@[simp]
theorem parallelPair_functor_obj {F : WalkingParallelPair ⥤ C} (j : WalkingParallelPair) :
(parallelPair (F.map left) (F.map right)).obj j = F.obj j := by cases j <;> rfl
#align category_theory.limits.parallel_pair_functor_obj CategoryTheory.Limits.parallelPair_functor_obj
@[simps!]
def diagramIsoParallelPair (F : WalkingParallelPair ⥤ C) :
F ≅ parallelPair (F.map left) (F.map right) :=
NatIso.ofComponents (fun j => eqToIso <| by cases j <;> rfl) (by rintro _ _ (_|_|_) <;> simp)
#align category_theory.limits.diagram_iso_parallel_pair CategoryTheory.Limits.diagramIsoParallelPair
def parallelPairHom {X' Y' : C} (f g : X ⟶ Y) (f' g' : X' ⟶ Y') (p : X ⟶ X') (q : Y ⟶ Y')
(wf : f ≫ q = p ≫ f') (wg : g ≫ q = p ≫ g') : parallelPair f g ⟶ parallelPair f' g' where
app j :=
match j with
| zero => p
| one => q
naturality := by
rintro _ _ ⟨⟩ <;> {dsimp; simp [wf,wg]}
#align category_theory.limits.parallel_pair_hom CategoryTheory.Limits.parallelPairHom
@[simp]
theorem parallelPairHom_app_zero {X' Y' : C} (f g : X ⟶ Y) (f' g' : X' ⟶ Y') (p : X ⟶ X')
(q : Y ⟶ Y') (wf : f ≫ q = p ≫ f') (wg : g ≫ q = p ≫ g') :
(parallelPairHom f g f' g' p q wf wg).app zero = p :=
rfl
#align category_theory.limits.parallel_pair_hom_app_zero CategoryTheory.Limits.parallelPairHom_app_zero
@[simp]
theorem parallelPairHom_app_one {X' Y' : C} (f g : X ⟶ Y) (f' g' : X' ⟶ Y') (p : X ⟶ X')
(q : Y ⟶ Y') (wf : f ≫ q = p ≫ f') (wg : g ≫ q = p ≫ g') :
(parallelPairHom f g f' g' p q wf wg).app one = q :=
rfl
#align category_theory.limits.parallel_pair_hom_app_one CategoryTheory.Limits.parallelPairHom_app_one
@[simps!]
def parallelPair.ext {F G : WalkingParallelPair ⥤ C} (zero : F.obj zero ≅ G.obj zero)
(one : F.obj one ≅ G.obj one) (left : F.map left ≫ one.hom = zero.hom ≫ G.map left)
(right : F.map right ≫ one.hom = zero.hom ≫ G.map right) : F ≅ G :=
NatIso.ofComponents
(by
rintro ⟨j⟩
exacts [zero, one])
(by rintro _ _ ⟨_⟩ <;> simp [left, right])
#align category_theory.limits.parallel_pair.ext CategoryTheory.Limits.parallelPair.ext
@[simps!]
def parallelPair.eqOfHomEq {f g f' g' : X ⟶ Y} (hf : f = f') (hg : g = g') :
parallelPair f g ≅ parallelPair f' g' :=
parallelPair.ext (Iso.refl _) (Iso.refl _) (by simp [hf]) (by simp [hg])
#align category_theory.limits.parallel_pair.eq_of_hom_eq CategoryTheory.Limits.parallelPair.eqOfHomEq
abbrev Fork (f g : X ⟶ Y) :=
Cone (parallelPair f g)
#align category_theory.limits.fork CategoryTheory.Limits.Fork
abbrev Cofork (f g : X ⟶ Y) :=
Cocone (parallelPair f g)
#align category_theory.limits.cofork CategoryTheory.Limits.Cofork
variable {f g : X ⟶ Y}
def Fork.ι (t : Fork f g) :=
t.π.app zero
#align category_theory.limits.fork.ι CategoryTheory.Limits.Fork.ι
@[simp]
theorem Fork.app_zero_eq_ι (t : Fork f g) : t.π.app zero = t.ι :=
rfl
#align category_theory.limits.fork.app_zero_eq_ι CategoryTheory.Limits.Fork.app_zero_eq_ι
def Cofork.π (t : Cofork f g) :=
t.ι.app one
#align category_theory.limits.cofork.π CategoryTheory.Limits.Cofork.π
@[simp]
theorem Cofork.app_one_eq_π (t : Cofork f g) : t.ι.app one = t.π :=
rfl
#align category_theory.limits.cofork.app_one_eq_π CategoryTheory.Limits.Cofork.app_one_eq_π
@[simp]
theorem Fork.app_one_eq_ι_comp_left (s : Fork f g) : s.π.app one = s.ι ≫ f := by
rw [← s.app_zero_eq_ι, ← s.w left, parallelPair_map_left]
#align category_theory.limits.fork.app_one_eq_ι_comp_left CategoryTheory.Limits.Fork.app_one_eq_ι_comp_left
@[reassoc]
theorem Fork.app_one_eq_ι_comp_right (s : Fork f g) : s.π.app one = s.ι ≫ g := by
rw [← s.app_zero_eq_ι, ← s.w right, parallelPair_map_right]
#align category_theory.limits.fork.app_one_eq_ι_comp_right CategoryTheory.Limits.Fork.app_one_eq_ι_comp_right
@[simp]
theorem Cofork.app_zero_eq_comp_π_left (s : Cofork f g) : s.ι.app zero = f ≫ s.π := by
rw [← s.app_one_eq_π, ← s.w left, parallelPair_map_left]
#align category_theory.limits.cofork.app_zero_eq_comp_π_left CategoryTheory.Limits.Cofork.app_zero_eq_comp_π_left
@[reassoc]
theorem Cofork.app_zero_eq_comp_π_right (s : Cofork f g) : s.ι.app zero = g ≫ s.π := by
rw [← s.app_one_eq_π, ← s.w right, parallelPair_map_right]
#align category_theory.limits.cofork.app_zero_eq_comp_π_right CategoryTheory.Limits.Cofork.app_zero_eq_comp_π_right
@[simps]
def Fork.ofι {P : C} (ι : P ⟶ X) (w : ι ≫ f = ι ≫ g) : Fork f g where
pt := P
π :=
{ app := fun X => by
cases X
· exact ι
· exact ι ≫ f
naturality := fun {X} {Y} f =>
by cases X <;> cases Y <;> cases f <;> dsimp <;> simp; assumption }
#align category_theory.limits.fork.of_ι CategoryTheory.Limits.Fork.ofι
@[simps]
def Cofork.ofπ {P : C} (π : Y ⟶ P) (w : f ≫ π = g ≫ π) : Cofork f g where
pt := P
ι :=
{ app := fun X => WalkingParallelPair.casesOn X (f ≫ π) π
naturality := fun i j f => by cases f <;> dsimp <;> simp [w] }
#align category_theory.limits.cofork.of_π CategoryTheory.Limits.Cofork.ofπ
-- See note [dsimp, simp]
@[simp]
theorem Fork.ι_ofι {P : C} (ι : P ⟶ X) (w : ι ≫ f = ι ≫ g) : (Fork.ofι ι w).ι = ι :=
rfl
#align category_theory.limits.fork.ι_of_ι CategoryTheory.Limits.Fork.ι_ofι
@[simp]
theorem Cofork.π_ofπ {P : C} (π : Y ⟶ P) (w : f ≫ π = g ≫ π) : (Cofork.ofπ π w).π = π :=
rfl
#align category_theory.limits.cofork.π_of_π CategoryTheory.Limits.Cofork.π_ofπ
@[reassoc (attr := simp)]
theorem Fork.condition (t : Fork f g) : t.ι ≫ f = t.ι ≫ g := by
rw [← t.app_one_eq_ι_comp_left, ← t.app_one_eq_ι_comp_right]
#align category_theory.limits.fork.condition CategoryTheory.Limits.Fork.condition
@[reassoc (attr := simp)]
theorem Cofork.condition (t : Cofork f g) : f ≫ t.π = g ≫ t.π := by
rw [← t.app_zero_eq_comp_π_left, ← t.app_zero_eq_comp_π_right]
#align category_theory.limits.cofork.condition CategoryTheory.Limits.Cofork.condition
theorem Fork.equalizer_ext (s : Fork f g) {W : C} {k l : W ⟶ s.pt} (h : k ≫ s.ι = l ≫ s.ι) :
∀ j : WalkingParallelPair, k ≫ s.π.app j = l ≫ s.π.app j
| zero => h
| one => by
have : k ≫ ι s ≫ f = l ≫ ι s ≫ f := by
simp only [← Category.assoc]; exact congrArg (· ≫ f) h
rw [s.app_one_eq_ι_comp_left, this]
#align category_theory.limits.fork.equalizer_ext CategoryTheory.Limits.Fork.equalizer_ext
theorem Cofork.coequalizer_ext (s : Cofork f g) {W : C} {k l : s.pt ⟶ W}
(h : Cofork.π s ≫ k = Cofork.π s ≫ l) : ∀ j : WalkingParallelPair, s.ι.app j ≫ k = s.ι.app j ≫ l
| zero => by simp only [s.app_zero_eq_comp_π_left, Category.assoc, h]
| one => h
#align category_theory.limits.cofork.coequalizer_ext CategoryTheory.Limits.Cofork.coequalizer_ext
theorem Fork.IsLimit.hom_ext {s : Fork f g} (hs : IsLimit s) {W : C} {k l : W ⟶ s.pt}
(h : k ≫ Fork.ι s = l ≫ Fork.ι s) : k = l :=
hs.hom_ext <| Fork.equalizer_ext _ h
#align category_theory.limits.fork.is_limit.hom_ext CategoryTheory.Limits.Fork.IsLimit.hom_ext
theorem Cofork.IsColimit.hom_ext {s : Cofork f g} (hs : IsColimit s) {W : C} {k l : s.pt ⟶ W}
(h : Cofork.π s ≫ k = Cofork.π s ≫ l) : k = l :=
hs.hom_ext <| Cofork.coequalizer_ext _ h
#align category_theory.limits.cofork.is_colimit.hom_ext CategoryTheory.Limits.Cofork.IsColimit.hom_ext
@[reassoc (attr := simp)]
theorem Fork.IsLimit.lift_ι {s t : Fork f g} (hs : IsLimit s) : hs.lift t ≫ s.ι = t.ι :=
hs.fac _ _
#align category_theory.limits.fork.is_limit.lift_ι CategoryTheory.Limits.Fork.IsLimit.lift_ι
@[reassoc (attr := simp)]
theorem Cofork.IsColimit.π_desc {s t : Cofork f g} (hs : IsColimit s) : s.π ≫ hs.desc t = t.π :=
hs.fac _ _
#align category_theory.limits.cofork.is_colimit.π_desc CategoryTheory.Limits.Cofork.IsColimit.π_desc
-- Porting note: `Fork.IsLimit.lift` was added in order to ease the port
def Fork.IsLimit.lift {s : Fork f g} (hs : IsLimit s) {W : C} (k : W ⟶ X) (h : k ≫ f = k ≫ g) :
W ⟶ s.pt :=
hs.lift (Fork.ofι _ h)
@[reassoc (attr := simp)]
lemma Fork.IsLimit.lift_ι' {s : Fork f g} (hs : IsLimit s) {W : C} (k : W ⟶ X) (h : k ≫ f = k ≫ g) :
Fork.IsLimit.lift hs k h ≫ Fork.ι s = k :=
hs.fac _ _
def Fork.IsLimit.lift' {s : Fork f g} (hs : IsLimit s) {W : C} (k : W ⟶ X) (h : k ≫ f = k ≫ g) :
{ l : W ⟶ s.pt // l ≫ Fork.ι s = k } :=
⟨Fork.IsLimit.lift hs k h, by simp⟩
#align category_theory.limits.fork.is_limit.lift' CategoryTheory.Limits.Fork.IsLimit.lift'
-- Porting note: `Cofork.IsColimit.desc` was added in order to ease the port
def Cofork.IsColimit.desc {s : Cofork f g} (hs : IsColimit s) {W : C} (k : Y ⟶ W)
(h : f ≫ k = g ≫ k) : s.pt ⟶ W :=
hs.desc (Cofork.ofπ _ h)
@[reassoc (attr := simp)]
lemma Cofork.IsColimit.π_desc' {s : Cofork f g} (hs : IsColimit s) {W : C} (k : Y ⟶ W)
(h : f ≫ k = g ≫ k) : Cofork.π s ≫ Cofork.IsColimit.desc hs k h = k :=
hs.fac _ _
def Cofork.IsColimit.desc' {s : Cofork f g} (hs : IsColimit s) {W : C} (k : Y ⟶ W)
(h : f ≫ k = g ≫ k) : { l : s.pt ⟶ W // Cofork.π s ≫ l = k } :=
⟨Cofork.IsColimit.desc hs k h, by simp⟩
#align category_theory.limits.cofork.is_colimit.desc' CategoryTheory.Limits.Cofork.IsColimit.desc'
theorem Fork.IsLimit.existsUnique {s : Fork f g} (hs : IsLimit s) {W : C} (k : W ⟶ X)
(h : k ≫ f = k ≫ g) : ∃! l : W ⟶ s.pt, l ≫ Fork.ι s = k :=
⟨hs.lift <| Fork.ofι _ h, hs.fac _ _, fun _ hm =>
Fork.IsLimit.hom_ext hs <| hm.symm ▸ (hs.fac (Fork.ofι _ h) WalkingParallelPair.zero).symm⟩
#align category_theory.limits.fork.is_limit.exists_unique CategoryTheory.Limits.Fork.IsLimit.existsUnique
theorem Cofork.IsColimit.existsUnique {s : Cofork f g} (hs : IsColimit s) {W : C} (k : Y ⟶ W)
(h : f ≫ k = g ≫ k) : ∃! d : s.pt ⟶ W, Cofork.π s ≫ d = k :=
⟨hs.desc <| Cofork.ofπ _ h, hs.fac _ _, fun _ hm =>
Cofork.IsColimit.hom_ext hs <| hm.symm ▸ (hs.fac (Cofork.ofπ _ h) WalkingParallelPair.one).symm⟩
#align category_theory.limits.cofork.is_colimit.exists_unique CategoryTheory.Limits.Cofork.IsColimit.existsUnique
@[simps]
def Fork.IsLimit.mk (t : Fork f g) (lift : ∀ s : Fork f g, s.pt ⟶ t.pt)
(fac : ∀ s : Fork f g, lift s ≫ Fork.ι t = Fork.ι s)
(uniq : ∀ (s : Fork f g) (m : s.pt ⟶ t.pt) (_ : m ≫ t.ι = s.ι), m = lift s) : IsLimit t :=
{ lift
fac := fun s j =>
WalkingParallelPair.casesOn j (fac s) <| by
erw [← s.w left, ← t.w left, ← Category.assoc, fac]; rfl
uniq := fun s m j => by aesop}
#align category_theory.limits.fork.is_limit.mk CategoryTheory.Limits.Fork.IsLimit.mk
def Fork.IsLimit.mk' {X Y : C} {f g : X ⟶ Y} (t : Fork f g)
(create : ∀ s : Fork f g, { l // l ≫ t.ι = s.ι ∧ ∀ {m}, m ≫ t.ι = s.ι → m = l }) : IsLimit t :=
Fork.IsLimit.mk t (fun s => (create s).1) (fun s => (create s).2.1) fun s _ w => (create s).2.2 w
#align category_theory.limits.fork.is_limit.mk' CategoryTheory.Limits.Fork.IsLimit.mk'
def Cofork.IsColimit.mk (t : Cofork f g) (desc : ∀ s : Cofork f g, t.pt ⟶ s.pt)
(fac : ∀ s : Cofork f g, Cofork.π t ≫ desc s = Cofork.π s)
(uniq : ∀ (s : Cofork f g) (m : t.pt ⟶ s.pt) (_ : t.π ≫ m = s.π), m = desc s) : IsColimit t :=
{ desc
fac := fun s j =>
WalkingParallelPair.casesOn j (by erw [← s.w left, ← t.w left, Category.assoc, fac]; rfl)
(fac s)
uniq := by aesop }
#align category_theory.limits.cofork.is_colimit.mk CategoryTheory.Limits.Cofork.IsColimit.mk
def Cofork.IsColimit.mk' {X Y : C} {f g : X ⟶ Y} (t : Cofork f g)
(create : ∀ s : Cofork f g, { l : t.pt ⟶ s.pt // t.π ≫ l = s.π
∧ ∀ {m}, t.π ≫ m = s.π → m = l }) : IsColimit t :=
Cofork.IsColimit.mk t (fun s => (create s).1) (fun s => (create s).2.1) fun s _ w =>
(create s).2.2 w
#align category_theory.limits.cofork.is_colimit.mk' CategoryTheory.Limits.Cofork.IsColimit.mk'
noncomputable def Fork.IsLimit.ofExistsUnique {t : Fork f g}
(hs : ∀ s : Fork f g, ∃! l : s.pt ⟶ t.pt, l ≫ Fork.ι t = Fork.ι s) : IsLimit t := by
choose d hd hd' using hs
exact Fork.IsLimit.mk _ d hd fun s m hm => hd' _ _ hm
#align category_theory.limits.fork.is_limit.of_exists_unique CategoryTheory.Limits.Fork.IsLimit.ofExistsUnique
noncomputable def Cofork.IsColimit.ofExistsUnique {t : Cofork f g}
(hs : ∀ s : Cofork f g, ∃! d : t.pt ⟶ s.pt, Cofork.π t ≫ d = Cofork.π s) : IsColimit t := by
choose d hd hd' using hs
exact Cofork.IsColimit.mk _ d hd fun s m hm => hd' _ _ hm
#align category_theory.limits.cofork.is_colimit.of_exists_unique CategoryTheory.Limits.Cofork.IsColimit.ofExistsUnique
@[simps]
def Fork.IsLimit.homIso {X Y : C} {f g : X ⟶ Y} {t : Fork f g} (ht : IsLimit t) (Z : C) :
(Z ⟶ t.pt) ≃ { h : Z ⟶ X // h ≫ f = h ≫ g } where
toFun k := ⟨k ≫ t.ι, by simp only [Category.assoc, t.condition]⟩
invFun h := (Fork.IsLimit.lift' ht _ h.prop).1
left_inv k := Fork.IsLimit.hom_ext ht (Fork.IsLimit.lift' _ _ _).prop
right_inv h := Subtype.ext (Fork.IsLimit.lift' ht _ _).prop
#align category_theory.limits.fork.is_limit.hom_iso CategoryTheory.Limits.Fork.IsLimit.homIso
theorem Fork.IsLimit.homIso_natural {X Y : C} {f g : X ⟶ Y} {t : Fork f g} (ht : IsLimit t)
{Z Z' : C} (q : Z' ⟶ Z) (k : Z ⟶ t.pt) :
(Fork.IsLimit.homIso ht _ (q ≫ k) : Z' ⟶ X) = q ≫ (Fork.IsLimit.homIso ht _ k : Z ⟶ X) :=
Category.assoc _ _ _
#align category_theory.limits.fork.is_limit.hom_iso_natural CategoryTheory.Limits.Fork.IsLimit.homIso_natural
@[simps]
def Cofork.IsColimit.homIso {X Y : C} {f g : X ⟶ Y} {t : Cofork f g} (ht : IsColimit t) (Z : C) :
(t.pt ⟶ Z) ≃ { h : Y ⟶ Z // f ≫ h = g ≫ h } where
toFun k := ⟨t.π ≫ k, by simp only [← Category.assoc, t.condition]⟩
invFun h := (Cofork.IsColimit.desc' ht _ h.prop).1
left_inv k := Cofork.IsColimit.hom_ext ht (Cofork.IsColimit.desc' _ _ _).prop
right_inv h := Subtype.ext (Cofork.IsColimit.desc' ht _ _).prop
#align category_theory.limits.cofork.is_colimit.hom_iso CategoryTheory.Limits.Cofork.IsColimit.homIso
theorem Cofork.IsColimit.homIso_natural {X Y : C} {f g : X ⟶ Y} {t : Cofork f g} {Z Z' : C}
(q : Z ⟶ Z') (ht : IsColimit t) (k : t.pt ⟶ Z) :
(Cofork.IsColimit.homIso ht _ (k ≫ q) : Y ⟶ Z') =
(Cofork.IsColimit.homIso ht _ k : Y ⟶ Z) ≫ q :=
(Category.assoc _ _ _).symm
#align category_theory.limits.cofork.is_colimit.hom_iso_natural CategoryTheory.Limits.Cofork.IsColimit.homIso_natural
def Cone.ofFork {F : WalkingParallelPair ⥤ C} (t : Fork (F.map left) (F.map right)) : Cone F where
pt := t.pt
π :=
{ app := fun X => t.π.app X ≫ eqToHom (by aesop)
naturality := by rintro _ _ (_|_|_) <;> {dsimp; simp [t.condition]}}
#align category_theory.limits.cone.of_fork CategoryTheory.Limits.Cone.ofFork
def Cocone.ofCofork {F : WalkingParallelPair ⥤ C} (t : Cofork (F.map left) (F.map right)) :
Cocone F where
pt := t.pt
ι :=
{ app := fun X => eqToHom (by aesop) ≫ t.ι.app X
naturality := by rintro _ _ (_|_|_) <;> {dsimp; simp [t.condition]}}
#align category_theory.limits.cocone.of_cofork CategoryTheory.Limits.Cocone.ofCofork
@[simp]
theorem Cone.ofFork_π {F : WalkingParallelPair ⥤ C} (t : Fork (F.map left) (F.map right)) (j) :
(Cone.ofFork t).π.app j = t.π.app j ≫ eqToHom (by aesop) := rfl
#align category_theory.limits.cone.of_fork_π CategoryTheory.Limits.Cone.ofFork_π
@[simp]
theorem Cocone.ofCofork_ι {F : WalkingParallelPair ⥤ C} (t : Cofork (F.map left) (F.map right))
(j) : (Cocone.ofCofork t).ι.app j = eqToHom (by aesop) ≫ t.ι.app j := rfl
#align category_theory.limits.cocone.of_cofork_ι CategoryTheory.Limits.Cocone.ofCofork_ι
def Fork.ofCone {F : WalkingParallelPair ⥤ C} (t : Cone F) : Fork (F.map left) (F.map right) where
pt := t.pt
π := { app := fun X => t.π.app X ≫ eqToHom (by aesop)
naturality := by rintro _ _ (_|_|_) <;> {dsimp; simp}}
#align category_theory.limits.fork.of_cone CategoryTheory.Limits.Fork.ofCone
def Cofork.ofCocone {F : WalkingParallelPair ⥤ C} (t : Cocone F) :
Cofork (F.map left) (F.map right) where
pt := t.pt
ι := { app := fun X => eqToHom (by aesop) ≫ t.ι.app X
naturality := by rintro _ _ (_|_|_) <;> {dsimp; simp}}
#align category_theory.limits.cofork.of_cocone CategoryTheory.Limits.Cofork.ofCocone
@[simp]
theorem Fork.ofCone_π {F : WalkingParallelPair ⥤ C} (t : Cone F) (j) :
(Fork.ofCone t).π.app j = t.π.app j ≫ eqToHom (by aesop) := rfl
#align category_theory.limits.fork.of_cone_π CategoryTheory.Limits.Fork.ofCone_π
@[simp]
theorem Cofork.ofCocone_ι {F : WalkingParallelPair ⥤ C} (t : Cocone F) (j) :
(Cofork.ofCocone t).ι.app j = eqToHom (by aesop) ≫ t.ι.app j := rfl
#align category_theory.limits.cofork.of_cocone_ι CategoryTheory.Limits.Cofork.ofCocone_ι
@[simp]
theorem Fork.ι_postcompose {f' g' : X ⟶ Y} {α : parallelPair f g ⟶ parallelPair f' g'}
{c : Fork f g} : Fork.ι ((Cones.postcompose α).obj c) = c.ι ≫ α.app _ :=
rfl
#align category_theory.limits.fork.ι_postcompose CategoryTheory.Limits.Fork.ι_postcompose
@[simp]
theorem Cofork.π_precompose {f' g' : X ⟶ Y} {α : parallelPair f g ⟶ parallelPair f' g'}
{c : Cofork f' g'} : Cofork.π ((Cocones.precompose α).obj c) = α.app _ ≫ c.π :=
rfl
#align category_theory.limits.cofork.π_precompose CategoryTheory.Limits.Cofork.π_precompose
@[simps]
def Fork.mkHom {s t : Fork f g} (k : s.pt ⟶ t.pt) (w : k ≫ t.ι = s.ι) : s ⟶ t where
hom := k
w := by
rintro ⟨_ | _⟩
· exact w
· simp only [Fork.app_one_eq_ι_comp_left,← Category.assoc]
congr
#align category_theory.limits.fork.mk_hom CategoryTheory.Limits.Fork.mkHom
@[simps]
def Fork.ext {s t : Fork f g} (i : s.pt ≅ t.pt) (w : i.hom ≫ t.ι = s.ι := by aesop_cat) :
s ≅ t where
hom := Fork.mkHom i.hom w
inv := Fork.mkHom i.inv (by rw [← w, Iso.inv_hom_id_assoc])
#align category_theory.limits.fork.ext CategoryTheory.Limits.Fork.ext
def ForkOfι.ext {P : C} {ι ι' : P ⟶ X} (w : ι ≫ f = ι ≫ g) (w' : ι' ≫ f = ι' ≫ g) (h : ι = ι') :
Fork.ofι ι w ≅ Fork.ofι ι' w' :=
Fork.ext (Iso.refl _) (by simp [h])
def Fork.isoForkOfι (c : Fork f g) : c ≅ Fork.ofι c.ι c.condition :=
Fork.ext (by simp only [Fork.ofι_pt, Functor.const_obj_obj]; rfl) (by simp)
#align category_theory.limits.fork.iso_fork_of_ι CategoryTheory.Limits.Fork.isoForkOfι
def Fork.isLimitOfIsos {X' Y' : C} (c : Fork f g) (hc : IsLimit c)
{f' g' : X' ⟶ Y'} (c' : Fork f' g')
(e₀ : X ≅ X') (e₁ : Y ≅ Y') (e : c.pt ≅ c'.pt)
(comm₁ : e₀.hom ≫ f' = f ≫ e₁.hom := by aesop_cat)
(comm₂ : e₀.hom ≫ g' = g ≫ e₁.hom := by aesop_cat)
(comm₃ : e.hom ≫ c'.ι = c.ι ≫ e₀.hom := by aesop_cat) : IsLimit c' :=
let i : parallelPair f g ≅ parallelPair f' g' := parallelPair.ext e₀ e₁ comm₁.symm comm₂.symm
(IsLimit.equivOfNatIsoOfIso i c c' (Fork.ext e comm₃)) hc
@[simps]
def Cofork.mkHom {s t : Cofork f g} (k : s.pt ⟶ t.pt) (w : s.π ≫ k = t.π) : s ⟶ t where
hom := k
w := by
rintro ⟨_ | _⟩
· simp [Cofork.app_zero_eq_comp_π_left, w]
· exact w
#align category_theory.limits.cofork.mk_hom CategoryTheory.Limits.Cofork.mkHom
@[reassoc (attr := simp)]
theorem Fork.hom_comp_ι {s t : Fork f g} (f : s ⟶ t) : f.hom ≫ t.ι = s.ι := by
cases s; cases t; cases f; aesop
#align category_theory.limits.fork.hom_comp_ι CategoryTheory.Limits.Fork.hom_comp_ι
@[reassoc (attr := simp)]
theorem Fork.π_comp_hom {s t : Cofork f g} (f : s ⟶ t) : s.π ≫ f.hom = t.π := by
cases s; cases t; cases f; aesop
#align category_theory.limits.fork.π_comp_hom CategoryTheory.Limits.Fork.π_comp_hom
@[simps]
def Cofork.ext {s t : Cofork f g} (i : s.pt ≅ t.pt) (w : s.π ≫ i.hom = t.π := by aesop_cat) :
s ≅ t where
hom := Cofork.mkHom i.hom w
inv := Cofork.mkHom i.inv (by rw [Iso.comp_inv_eq, w])
#align category_theory.limits.cofork.ext CategoryTheory.Limits.Cofork.ext
def Cofork.isoCoforkOfπ (c : Cofork f g) : c ≅ Cofork.ofπ c.π c.condition :=
Cofork.ext (by simp only [Cofork.ofπ_pt, Functor.const_obj_obj]; rfl) (by dsimp; simp)
#align category_theory.limits.cofork.iso_cofork_of_π CategoryTheory.Limits.Cofork.isoCoforkOfπ
variable (f g)
section
abbrev HasEqualizer :=
HasLimit (parallelPair f g)
#align category_theory.limits.has_equalizer CategoryTheory.Limits.HasEqualizer
variable [HasEqualizer f g]
noncomputable abbrev equalizer : C :=
limit (parallelPair f g)
#align category_theory.limits.equalizer CategoryTheory.Limits.equalizer
noncomputable abbrev equalizer.ι : equalizer f g ⟶ X :=
limit.π (parallelPair f g) zero
#align category_theory.limits.equalizer.ι CategoryTheory.Limits.equalizer.ι
noncomputable abbrev equalizer.fork : Fork f g :=
limit.cone (parallelPair f g)
#align category_theory.limits.equalizer.fork CategoryTheory.Limits.equalizer.fork
@[simp]
theorem equalizer.fork_ι : (equalizer.fork f g).ι = equalizer.ι f g :=
rfl
#align category_theory.limits.equalizer.fork_ι CategoryTheory.Limits.equalizer.fork_ι
@[simp]
theorem equalizer.fork_π_app_zero : (equalizer.fork f g).π.app zero = equalizer.ι f g :=
rfl
#align category_theory.limits.equalizer.fork_π_app_zero CategoryTheory.Limits.equalizer.fork_π_app_zero
@[reassoc]
theorem equalizer.condition : equalizer.ι f g ≫ f = equalizer.ι f g ≫ g :=
Fork.condition <| limit.cone <| parallelPair f g
#align category_theory.limits.equalizer.condition CategoryTheory.Limits.equalizer.condition
noncomputable def equalizerIsEqualizer : IsLimit (Fork.ofι (equalizer.ι f g)
(equalizer.condition f g)) :=
IsLimit.ofIsoLimit (limit.isLimit _) (Fork.ext (Iso.refl _) (by aesop))
#align category_theory.limits.equalizer_is_equalizer CategoryTheory.Limits.equalizerIsEqualizer
variable {f g}
noncomputable abbrev equalizer.lift {W : C} (k : W ⟶ X) (h : k ≫ f = k ≫ g) : W ⟶ equalizer f g :=
limit.lift (parallelPair f g) (Fork.ofι k h)
#align category_theory.limits.equalizer.lift CategoryTheory.Limits.equalizer.lift
-- Porting note (#10618): removed simp since simp can prove this and the reassoc version
@[reassoc]
theorem equalizer.lift_ι {W : C} (k : W ⟶ X) (h : k ≫ f = k ≫ g) :
equalizer.lift k h ≫ equalizer.ι f g = k :=
limit.lift_π _ _
#align category_theory.limits.equalizer.lift_ι CategoryTheory.Limits.equalizer.lift_ι
noncomputable def equalizer.lift' {W : C} (k : W ⟶ X) (h : k ≫ f = k ≫ g) :
{ l : W ⟶ equalizer f g // l ≫ equalizer.ι f g = k } :=
⟨equalizer.lift k h, equalizer.lift_ι _ _⟩
#align category_theory.limits.equalizer.lift' CategoryTheory.Limits.equalizer.lift'
@[ext]
theorem equalizer.hom_ext {W : C} {k l : W ⟶ equalizer f g}
(h : k ≫ equalizer.ι f g = l ≫ equalizer.ι f g) : k = l :=
Fork.IsLimit.hom_ext (limit.isLimit _) h
#align category_theory.limits.equalizer.hom_ext CategoryTheory.Limits.equalizer.hom_ext
theorem equalizer.existsUnique {W : C} (k : W ⟶ X) (h : k ≫ f = k ≫ g) :
∃! l : W ⟶ equalizer f g, l ≫ equalizer.ι f g = k :=
Fork.IsLimit.existsUnique (limit.isLimit _) _ h
#align category_theory.limits.equalizer.exists_unique CategoryTheory.Limits.equalizer.existsUnique
instance equalizer.ι_mono : Mono (equalizer.ι f g) where
right_cancellation _ _ w := equalizer.hom_ext w
#align category_theory.limits.equalizer.ι_mono CategoryTheory.Limits.equalizer.ι_mono
end
section
variable {f g}
theorem mono_of_isLimit_fork {c : Fork f g} (i : IsLimit c) : Mono (Fork.ι c) :=
{ right_cancellation := fun _ _ w => Fork.IsLimit.hom_ext i w }
#align category_theory.limits.mono_of_is_limit_fork CategoryTheory.Limits.mono_of_isLimit_fork
end
section
variable {f g}
def idFork (h : f = g) : Fork f g :=
Fork.ofι (𝟙 X) <| h ▸ rfl
#align category_theory.limits.id_fork CategoryTheory.Limits.idFork
def isLimitIdFork (h : f = g) : IsLimit (idFork h) :=
Fork.IsLimit.mk _ (fun s => Fork.ι s) (fun s => Category.comp_id _) fun s m h => by
convert h
exact (Category.comp_id _).symm
#align category_theory.limits.is_limit_id_fork CategoryTheory.Limits.isLimitIdFork
theorem isIso_limit_cone_parallelPair_of_eq (h₀ : f = g) {c : Fork f g} (h : IsLimit c) :
IsIso c.ι :=
Iso.isIso_hom <| IsLimit.conePointUniqueUpToIso h <| isLimitIdFork h₀
#align category_theory.limits.is_iso_limit_cone_parallel_pair_of_eq CategoryTheory.Limits.isIso_limit_cone_parallelPair_of_eq
theorem equalizer.ι_of_eq [HasEqualizer f g] (h : f = g) : IsIso (equalizer.ι f g) :=
isIso_limit_cone_parallelPair_of_eq h <| limit.isLimit _
#align category_theory.limits.equalizer.ι_of_eq CategoryTheory.Limits.equalizer.ι_of_eq
theorem isIso_limit_cone_parallelPair_of_self {c : Fork f f} (h : IsLimit c) : IsIso c.ι :=
isIso_limit_cone_parallelPair_of_eq rfl h
#align category_theory.limits.is_iso_limit_cone_parallel_pair_of_self CategoryTheory.Limits.isIso_limit_cone_parallelPair_of_self
theorem isIso_limit_cone_parallelPair_of_epi {c : Fork f g} (h : IsLimit c) [Epi c.ι] : IsIso c.ι :=
isIso_limit_cone_parallelPair_of_eq ((cancel_epi _).1 (Fork.condition c)) h
#align category_theory.limits.is_iso_limit_cone_parallel_pair_of_epi CategoryTheory.Limits.isIso_limit_cone_parallelPair_of_epi
theorem eq_of_epi_fork_ι (t : Fork f g) [Epi (Fork.ι t)] : f = g :=
(cancel_epi (Fork.ι t)).1 <| Fork.condition t
#align category_theory.limits.eq_of_epi_fork_ι CategoryTheory.Limits.eq_of_epi_fork_ι
theorem eq_of_epi_equalizer [HasEqualizer f g] [Epi (equalizer.ι f g)] : f = g :=
(cancel_epi (equalizer.ι f g)).1 <| equalizer.condition _ _
#align category_theory.limits.eq_of_epi_equalizer CategoryTheory.Limits.eq_of_epi_equalizer
end
instance hasEqualizer_of_self : HasEqualizer f f :=
HasLimit.mk
{ cone := idFork rfl
isLimit := isLimitIdFork rfl }
#align category_theory.limits.has_equalizer_of_self CategoryTheory.Limits.hasEqualizer_of_self
instance equalizer.ι_of_self : IsIso (equalizer.ι f f) :=
equalizer.ι_of_eq rfl
#align category_theory.limits.equalizer.ι_of_self CategoryTheory.Limits.equalizer.ι_of_self
noncomputable def equalizer.isoSourceOfSelf : equalizer f f ≅ X :=
asIso (equalizer.ι f f)
#align category_theory.limits.equalizer.iso_source_of_self CategoryTheory.Limits.equalizer.isoSourceOfSelf
@[simp]
theorem equalizer.isoSourceOfSelf_hom : (equalizer.isoSourceOfSelf f).hom = equalizer.ι f f :=
rfl
#align category_theory.limits.equalizer.iso_source_of_self_hom CategoryTheory.Limits.equalizer.isoSourceOfSelf_hom
@[simp]
| Mathlib/CategoryTheory/Limits/Shapes/Equalizers.lean | 929 | 932 | theorem equalizer.isoSourceOfSelf_inv :
(equalizer.isoSourceOfSelf f).inv = equalizer.lift (𝟙 X) (by simp) := by |
ext
simp [equalizer.isoSourceOfSelf]
|
import Mathlib.Order.Cover
import Mathlib.Order.Interval.Finset.Defs
#align_import data.finset.locally_finite from "leanprover-community/mathlib"@"442a83d738cb208d3600056c489be16900ba701d"
assert_not_exists MonoidWithZero
assert_not_exists Finset.sum
open Function OrderDual
open FinsetInterval
variable {ι α : Type*}
namespace Finset
section Preorder
variable [Preorder α]
section LocallyFiniteOrder
variable [LocallyFiniteOrder α] {a a₁ a₂ b b₁ b₂ c x : α}
@[simp, aesop safe apply (rule_sets := [finsetNonempty])]
theorem nonempty_Icc : (Icc a b).Nonempty ↔ a ≤ b := by
rw [← coe_nonempty, coe_Icc, Set.nonempty_Icc]
#align finset.nonempty_Icc Finset.nonempty_Icc
@[simp, aesop safe apply (rule_sets := [finsetNonempty])]
theorem nonempty_Ico : (Ico a b).Nonempty ↔ a < b := by
rw [← coe_nonempty, coe_Ico, Set.nonempty_Ico]
#align finset.nonempty_Ico Finset.nonempty_Ico
@[simp, aesop safe apply (rule_sets := [finsetNonempty])]
theorem nonempty_Ioc : (Ioc a b).Nonempty ↔ a < b := by
rw [← coe_nonempty, coe_Ioc, Set.nonempty_Ioc]
#align finset.nonempty_Ioc Finset.nonempty_Ioc
-- TODO: This is nonsense. A locally finite order is never densely ordered
@[simp]
theorem nonempty_Ioo [DenselyOrdered α] : (Ioo a b).Nonempty ↔ a < b := by
rw [← coe_nonempty, coe_Ioo, Set.nonempty_Ioo]
#align finset.nonempty_Ioo Finset.nonempty_Ioo
@[simp]
theorem Icc_eq_empty_iff : Icc a b = ∅ ↔ ¬a ≤ b := by
rw [← coe_eq_empty, coe_Icc, Set.Icc_eq_empty_iff]
#align finset.Icc_eq_empty_iff Finset.Icc_eq_empty_iff
@[simp]
theorem Ico_eq_empty_iff : Ico a b = ∅ ↔ ¬a < b := by
rw [← coe_eq_empty, coe_Ico, Set.Ico_eq_empty_iff]
#align finset.Ico_eq_empty_iff Finset.Ico_eq_empty_iff
@[simp]
| Mathlib/Order/Interval/Finset/Basic.lean | 88 | 89 | theorem Ioc_eq_empty_iff : Ioc a b = ∅ ↔ ¬a < b := by |
rw [← coe_eq_empty, coe_Ioc, Set.Ioc_eq_empty_iff]
|
import Mathlib.CategoryTheory.Comma.Over
import Mathlib.CategoryTheory.Limits.Shapes.Pullbacks
import Mathlib.CategoryTheory.Yoneda
import Mathlib.Data.Set.Lattice
import Mathlib.Order.CompleteLattice
#align_import category_theory.sites.sieves from "leanprover-community/mathlib"@"239d882c4fb58361ee8b3b39fb2091320edef10a"
universe v₁ v₂ v₃ u₁ u₂ u₃
namespace CategoryTheory
open Category Limits
variable {C : Type u₁} [Category.{v₁} C] {D : Type u₂} [Category.{v₂} D] (F : C ⥤ D)
variable {X Y Z : C} (f : Y ⟶ X)
def Presieve (X : C) :=
∀ ⦃Y⦄, Set (Y ⟶ X)-- deriving CompleteLattice
#align category_theory.presieve CategoryTheory.Presieve
instance : CompleteLattice (Presieve X) := by
dsimp [Presieve]
infer_instance
namespace Presieve
noncomputable instance : Inhabited (Presieve X) :=
⟨⊤⟩
abbrev category {X : C} (P : Presieve X) :=
FullSubcategory fun f : Over X => P f.hom
abbrev categoryMk {X : C} (P : Presieve X) {Y : C} (f : Y ⟶ X) (hf : P f) : P.category :=
⟨Over.mk f, hf⟩
abbrev diagram (S : Presieve X) : S.category ⥤ C :=
fullSubcategoryInclusion _ ⋙ Over.forget X
#align category_theory.presieve.diagram CategoryTheory.Presieve.diagram
abbrev cocone (S : Presieve X) : Cocone S.diagram :=
(Over.forgetCocone X).whisker (fullSubcategoryInclusion _)
#align category_theory.presieve.cocone CategoryTheory.Presieve.cocone
def bind (S : Presieve X) (R : ∀ ⦃Y⦄ ⦃f : Y ⟶ X⦄, S f → Presieve Y) : Presieve X := fun Z h =>
∃ (Y : C) (g : Z ⟶ Y) (f : Y ⟶ X) (H : S f), R H g ∧ g ≫ f = h
#align category_theory.presieve.bind CategoryTheory.Presieve.bind
@[simp]
theorem bind_comp {S : Presieve X} {R : ∀ ⦃Y : C⦄ ⦃f : Y ⟶ X⦄, S f → Presieve Y} {g : Z ⟶ Y}
(h₁ : S f) (h₂ : R h₁ g) : bind S R (g ≫ f) :=
⟨_, _, _, h₁, h₂, rfl⟩
#align category_theory.presieve.bind_comp CategoryTheory.Presieve.bind_comp
-- Porting note: it seems the definition of `Presieve` must be unfolded in order to define
-- this inductive type, it was thus renamed `singleton'`
-- Note we can't make this into `HasSingleton` because of the out-param.
inductive singleton' : ⦃Y : C⦄ → (Y ⟶ X) → Prop
| mk : singleton' f
def singleton : Presieve X := singleton' f
lemma singleton.mk {f : Y ⟶ X} : singleton f f := singleton'.mk
#align category_theory.presieve.singleton CategoryTheory.Presieve.singleton
@[simp]
theorem singleton_eq_iff_domain (f g : Y ⟶ X) : singleton f g ↔ f = g := by
constructor
· rintro ⟨a, rfl⟩
rfl
· rintro rfl
apply singleton.mk
#align category_theory.presieve.singleton_eq_iff_domain CategoryTheory.Presieve.singleton_eq_iff_domain
theorem singleton_self : singleton f f :=
singleton.mk
#align category_theory.presieve.singleton_self CategoryTheory.Presieve.singleton_self
inductive pullbackArrows [HasPullbacks C] (R : Presieve X) : Presieve Y
| mk (Z : C) (h : Z ⟶ X) : R h → pullbackArrows _ (pullback.snd : pullback h f ⟶ Y)
#align category_theory.presieve.pullback_arrows CategoryTheory.Presieve.pullbackArrows
theorem pullback_singleton [HasPullbacks C] (g : Z ⟶ X) :
pullbackArrows f (singleton g) = singleton (pullback.snd : pullback g f ⟶ _) := by
funext W
ext h
constructor
· rintro ⟨W, _, _, _⟩
exact singleton.mk
· rintro ⟨_⟩
exact pullbackArrows.mk Z g singleton.mk
#align category_theory.presieve.pullback_singleton CategoryTheory.Presieve.pullback_singleton
inductive ofArrows {ι : Type*} (Y : ι → C) (f : ∀ i, Y i ⟶ X) : Presieve X
| mk (i : ι) : ofArrows _ _ (f i)
#align category_theory.presieve.of_arrows CategoryTheory.Presieve.ofArrows
theorem ofArrows_pUnit : (ofArrows _ fun _ : PUnit => f) = singleton f := by
funext Y
ext g
constructor
· rintro ⟨_⟩
apply singleton.mk
· rintro ⟨_⟩
exact ofArrows.mk PUnit.unit
#align category_theory.presieve.of_arrows_punit CategoryTheory.Presieve.ofArrows_pUnit
theorem ofArrows_pullback [HasPullbacks C] {ι : Type*} (Z : ι → C) (g : ∀ i : ι, Z i ⟶ X) :
(ofArrows (fun i => pullback (g i) f) fun i => pullback.snd) =
pullbackArrows f (ofArrows Z g) := by
funext T
ext h
constructor
· rintro ⟨hk⟩
exact pullbackArrows.mk _ _ (ofArrows.mk hk)
· rintro ⟨W, k, hk₁⟩
cases' hk₁ with i hi
apply ofArrows.mk
#align category_theory.presieve.of_arrows_pullback CategoryTheory.Presieve.ofArrows_pullback
theorem ofArrows_bind {ι : Type*} (Z : ι → C) (g : ∀ i : ι, Z i ⟶ X)
(j : ∀ ⦃Y⦄ (f : Y ⟶ X), ofArrows Z g f → Type*) (W : ∀ ⦃Y⦄ (f : Y ⟶ X) (H), j f H → C)
(k : ∀ ⦃Y⦄ (f : Y ⟶ X) (H i), W f H i ⟶ Y) :
((ofArrows Z g).bind fun Y f H => ofArrows (W f H) (k f H)) =
ofArrows (fun i : Σi, j _ (ofArrows.mk i) => W (g i.1) _ i.2) fun ij =>
k (g ij.1) _ ij.2 ≫ g ij.1 := by
funext Y
ext f
constructor
· rintro ⟨_, _, _, ⟨i⟩, ⟨i'⟩, rfl⟩
exact ofArrows.mk (Sigma.mk _ _)
· rintro ⟨i⟩
exact bind_comp _ (ofArrows.mk _) (ofArrows.mk _)
#align category_theory.presieve.of_arrows_bind CategoryTheory.Presieve.ofArrows_bind
theorem ofArrows_surj {ι : Type*} {Y : ι → C} (f : ∀ i, Y i ⟶ X) {Z : C} (g : Z ⟶ X)
(hg : ofArrows Y f g) : ∃ (i : ι) (h : Y i = Z),
g = eqToHom h.symm ≫ f i := by
cases' hg with i
exact ⟨i, rfl, by simp only [eqToHom_refl, id_comp]⟩
def functorPullback (R : Presieve (F.obj X)) : Presieve X := fun _ f => R (F.map f)
#align category_theory.presieve.functor_pullback CategoryTheory.Presieve.functorPullback
@[simp]
theorem functorPullback_mem (R : Presieve (F.obj X)) {Y} (f : Y ⟶ X) :
R.functorPullback F f ↔ R (F.map f) :=
Iff.rfl
#align category_theory.presieve.functor_pullback_mem CategoryTheory.Presieve.functorPullback_mem
@[simp]
theorem functorPullback_id (R : Presieve X) : R.functorPullback (𝟭 _) = R :=
rfl
#align category_theory.presieve.functor_pullback_id CategoryTheory.Presieve.functorPullback_id
class hasPullbacks (R : Presieve X) : Prop where
has_pullbacks : ∀ {Y Z} {f : Y ⟶ X} (_ : R f) {g : Z ⟶ X} (_ : R g), HasPullback f g
instance (R : Presieve X) [HasPullbacks C] : R.hasPullbacks := ⟨fun _ _ ↦ inferInstance⟩
instance {α : Type v₂} {X : α → C} {B : C} (π : (a : α) → X a ⟶ B)
[(Presieve.ofArrows X π).hasPullbacks] (a b : α) : HasPullback (π a) (π b) :=
Presieve.hasPullbacks.has_pullbacks (Presieve.ofArrows.mk _) (Presieve.ofArrows.mk _)
section FunctorPushforward
variable {E : Type u₃} [Category.{v₃} E] (G : D ⥤ E)
def functorPushforward (S : Presieve X) : Presieve (F.obj X) := fun Y f =>
∃ (Z : C) (g : Z ⟶ X) (h : Y ⟶ F.obj Z), S g ∧ f = h ≫ F.map g
#align category_theory.presieve.functor_pushforward CategoryTheory.Presieve.functorPushforward
-- Porting note: removed @[nolint hasNonemptyInstance]
structure FunctorPushforwardStructure (S : Presieve X) {Y} (f : Y ⟶ F.obj X) where
preobj : C
premap : preobj ⟶ X
lift : Y ⟶ F.obj preobj
cover : S premap
fac : f = lift ≫ F.map premap
#align category_theory.presieve.functor_pushforward_structure CategoryTheory.Presieve.FunctorPushforwardStructure
noncomputable def getFunctorPushforwardStructure {F : C ⥤ D} {S : Presieve X} {Y : D}
{f : Y ⟶ F.obj X} (h : S.functorPushforward F f) : FunctorPushforwardStructure F S f := by
choose Z f' g h₁ h using h
exact ⟨Z, f', g, h₁, h⟩
#align category_theory.presieve.get_functor_pushforward_structure CategoryTheory.Presieve.getFunctorPushforwardStructure
| Mathlib/CategoryTheory/Sites/Sieves.lean | 246 | 254 | theorem functorPushforward_comp (R : Presieve X) :
R.functorPushforward (F ⋙ G) = (R.functorPushforward F).functorPushforward G := by |
funext x
ext f
constructor
· rintro ⟨X, f₁, g₁, h₁, rfl⟩
exact ⟨F.obj X, F.map f₁, g₁, ⟨X, f₁, 𝟙 _, h₁, by simp⟩, rfl⟩
· rintro ⟨X, f₁, g₁, ⟨X', f₂, g₂, h₁, rfl⟩, rfl⟩
exact ⟨X', f₂, g₁ ≫ G.map g₂, h₁, by simp⟩
|
import Mathlib.Tactic.CategoryTheory.Elementwise
import Mathlib.CategoryTheory.Limits.Shapes.Multiequalizer
import Mathlib.CategoryTheory.Limits.Constructions.EpiMono
import Mathlib.CategoryTheory.Limits.Preserves.Limits
import Mathlib.CategoryTheory.Limits.Shapes.Types
#align_import category_theory.glue_data from "leanprover-community/mathlib"@"14b69e9f3c16630440a2cbd46f1ddad0d561dee7"
noncomputable section
open CategoryTheory.Limits
namespace CategoryTheory
universe v u₁ u₂
variable (C : Type u₁) [Category.{v} C] {C' : Type u₂} [Category.{v} C']
-- Porting note(#5171): linter not ported yet
-- @[nolint has_nonempty_instance]
structure GlueData where
J : Type v
U : J → C
V : J × J → C
f : ∀ i j, V (i, j) ⟶ U i
f_mono : ∀ i j, Mono (f i j) := by infer_instance
f_hasPullback : ∀ i j k, HasPullback (f i j) (f i k) := by infer_instance
f_id : ∀ i, IsIso (f i i) := by infer_instance
t : ∀ i j, V (i, j) ⟶ V (j, i)
t_id : ∀ i, t i i = 𝟙 _
t' : ∀ i j k, pullback (f i j) (f i k) ⟶ pullback (f j k) (f j i)
t_fac : ∀ i j k, t' i j k ≫ pullback.snd = pullback.fst ≫ t i j
cocycle : ∀ i j k, t' i j k ≫ t' j k i ≫ t' k i j = 𝟙 _
#align category_theory.glue_data CategoryTheory.GlueData
attribute [simp] GlueData.t_id
attribute [instance] GlueData.f_id GlueData.f_mono GlueData.f_hasPullback
attribute [reassoc] GlueData.t_fac GlueData.cocycle
namespace GlueData
variable {C}
variable (D : GlueData C)
@[simp]
theorem t'_iij (i j : D.J) : D.t' i i j = (pullbackSymmetry _ _).hom := by
have eq₁ := D.t_fac i i j
have eq₂ := (IsIso.eq_comp_inv (D.f i i)).mpr (@pullback.condition _ _ _ _ _ _ (D.f i j) _)
rw [D.t_id, Category.comp_id, eq₂] at eq₁
have eq₃ := (IsIso.eq_comp_inv (D.f i i)).mp eq₁
rw [Category.assoc, ← pullback.condition, ← Category.assoc] at eq₃
exact
Mono.right_cancellation _ _
((Mono.right_cancellation _ _ eq₃).trans (pullbackSymmetry_hom_comp_fst _ _).symm)
#align category_theory.glue_data.t'_iij CategoryTheory.GlueData.t'_iij
theorem t'_jii (i j : D.J) : D.t' j i i = pullback.fst ≫ D.t j i ≫ inv pullback.snd := by
rw [← Category.assoc, ← D.t_fac]
simp
#align category_theory.glue_data.t'_jii CategoryTheory.GlueData.t'_jii
theorem t'_iji (i j : D.J) : D.t' i j i = pullback.fst ≫ D.t i j ≫ inv pullback.snd := by
rw [← Category.assoc, ← D.t_fac]
simp
#align category_theory.glue_data.t'_iji CategoryTheory.GlueData.t'_iji
@[reassoc, elementwise (attr := simp)]
theorem t_inv (i j : D.J) : D.t i j ≫ D.t j i = 𝟙 _ := by
have eq : (pullbackSymmetry (D.f i i) (D.f i j)).hom = pullback.snd ≫ inv pullback.fst := by simp
have := D.cocycle i j i
rw [D.t'_iij, D.t'_jii, D.t'_iji, fst_eq_snd_of_mono_eq, eq] at this
simp only [Category.assoc, IsIso.inv_hom_id_assoc] at this
rw [← IsIso.eq_inv_comp, ← Category.assoc, IsIso.comp_inv_eq] at this
simpa using this
#align category_theory.glue_data.t_inv CategoryTheory.GlueData.t_inv
theorem t'_inv (i j k : D.J) :
D.t' i j k ≫ (pullbackSymmetry _ _).hom ≫ D.t' j i k ≫ (pullbackSymmetry _ _).hom = 𝟙 _ := by
rw [← cancel_mono (pullback.fst : pullback (D.f i j) (D.f i k) ⟶ _)]
simp [t_fac, t_fac_assoc]
#align category_theory.glue_data.t'_inv CategoryTheory.GlueData.t'_inv
instance t_isIso (i j : D.J) : IsIso (D.t i j) :=
⟨⟨D.t j i, D.t_inv _ _, D.t_inv _ _⟩⟩
#align category_theory.glue_data.t_is_iso CategoryTheory.GlueData.t_isIso
instance t'_isIso (i j k : D.J) : IsIso (D.t' i j k) :=
⟨⟨D.t' j k i ≫ D.t' k i j, D.cocycle _ _ _, by simpa using D.cocycle _ _ _⟩⟩
#align category_theory.glue_data.t'_is_iso CategoryTheory.GlueData.t'_isIso
@[reassoc]
theorem t'_comp_eq_pullbackSymmetry (i j k : D.J) :
D.t' j k i ≫ D.t' k i j =
(pullbackSymmetry _ _).hom ≫ D.t' j i k ≫ (pullbackSymmetry _ _).hom := by
trans inv (D.t' i j k)
· exact IsIso.eq_inv_of_hom_inv_id (D.cocycle _ _ _)
· rw [← cancel_mono (pullback.fst : pullback (D.f i j) (D.f i k) ⟶ _)]
simp [t_fac, t_fac_assoc]
#align category_theory.glue_data.t'_comp_eq_pullback_symmetry CategoryTheory.GlueData.t'_comp_eq_pullbackSymmetry
def sigmaOpens [HasCoproduct D.U] : C :=
∐ D.U
#align category_theory.glue_data.sigma_opens CategoryTheory.GlueData.sigmaOpens
def diagram : MultispanIndex C where
L := D.J × D.J
R := D.J
fstFrom := _root_.Prod.fst
sndFrom := _root_.Prod.snd
left := D.V
right := D.U
fst := fun ⟨i, j⟩ => D.f i j
snd := fun ⟨i, j⟩ => D.t i j ≫ D.f j i
#align category_theory.glue_data.diagram CategoryTheory.GlueData.diagram
@[simp]
theorem diagram_l : D.diagram.L = (D.J × D.J) :=
rfl
set_option linter.uppercaseLean3 false in
#align category_theory.glue_data.diagram_L CategoryTheory.GlueData.diagram_l
@[simp]
theorem diagram_r : D.diagram.R = D.J :=
rfl
set_option linter.uppercaseLean3 false in
#align category_theory.glue_data.diagram_R CategoryTheory.GlueData.diagram_r
@[simp]
theorem diagram_fstFrom (i j : D.J) : D.diagram.fstFrom ⟨i, j⟩ = i :=
rfl
#align category_theory.glue_data.diagram_fst_from CategoryTheory.GlueData.diagram_fstFrom
@[simp]
theorem diagram_sndFrom (i j : D.J) : D.diagram.sndFrom ⟨i, j⟩ = j :=
rfl
#align category_theory.glue_data.diagram_snd_from CategoryTheory.GlueData.diagram_sndFrom
@[simp]
theorem diagram_fst (i j : D.J) : D.diagram.fst ⟨i, j⟩ = D.f i j :=
rfl
#align category_theory.glue_data.diagram_fst CategoryTheory.GlueData.diagram_fst
@[simp]
theorem diagram_snd (i j : D.J) : D.diagram.snd ⟨i, j⟩ = D.t i j ≫ D.f j i :=
rfl
#align category_theory.glue_data.diagram_snd CategoryTheory.GlueData.diagram_snd
@[simp]
theorem diagram_left : D.diagram.left = D.V :=
rfl
#align category_theory.glue_data.diagram_left CategoryTheory.GlueData.diagram_left
@[simp]
theorem diagram_right : D.diagram.right = D.U :=
rfl
#align category_theory.glue_data.diagram_right CategoryTheory.GlueData.diagram_right
section
variable [HasMulticoequalizer D.diagram]
def glued : C :=
multicoequalizer D.diagram
#align category_theory.glue_data.glued CategoryTheory.GlueData.glued
def ι (i : D.J) : D.U i ⟶ D.glued :=
Multicoequalizer.π D.diagram i
#align category_theory.glue_data.ι CategoryTheory.GlueData.ι
@[elementwise (attr := simp)]
theorem glue_condition (i j : D.J) : D.t i j ≫ D.f j i ≫ D.ι j = D.f i j ≫ D.ι i :=
(Category.assoc _ _ _).symm.trans (Multicoequalizer.condition D.diagram ⟨i, j⟩).symm
#align category_theory.glue_data.glue_condition CategoryTheory.GlueData.glue_condition
def vPullbackCone (i j : D.J) : PullbackCone (D.ι i) (D.ι j) :=
PullbackCone.mk (D.f i j) (D.t i j ≫ D.f j i) (by simp)
set_option linter.uppercaseLean3 false in
#align category_theory.glue_data.V_pullback_cone CategoryTheory.GlueData.vPullbackCone
variable [HasColimits C]
def π : D.sigmaOpens ⟶ D.glued :=
Multicoequalizer.sigmaπ D.diagram
#align category_theory.glue_data.π CategoryTheory.GlueData.π
instance π_epi : Epi D.π := by
unfold π
infer_instance
#align category_theory.glue_data.π_epi CategoryTheory.GlueData.π_epi
end
theorem types_π_surjective (D : GlueData Type*) : Function.Surjective D.π :=
(epi_iff_surjective _).mp inferInstance
#align category_theory.glue_data.types_π_surjective CategoryTheory.GlueData.types_π_surjective
theorem types_ι_jointly_surjective (D : GlueData (Type v)) (x : D.glued) :
∃ (i : _) (y : D.U i), D.ι i y = x := by
delta CategoryTheory.GlueData.ι
simp_rw [← Multicoequalizer.ι_sigmaπ D.diagram]
rcases D.types_π_surjective x with ⟨x', rfl⟩
--have := colimit.isoColimitCocone (Types.coproductColimitCocone _)
rw [← show (colimit.isoColimitCocone (Types.coproductColimitCocone.{v, v} _)).inv _ = x' from
ConcreteCategory.congr_hom
(colimit.isoColimitCocone (Types.coproductColimitCocone _)).hom_inv_id x']
rcases (colimit.isoColimitCocone (Types.coproductColimitCocone _)).hom x' with ⟨i, y⟩
exact ⟨i, y, by
simp [← Multicoequalizer.ι_sigmaπ]
rfl ⟩
#align category_theory.glue_data.types_ι_jointly_surjective CategoryTheory.GlueData.types_ι_jointly_surjective
variable (F : C ⥤ C') [H : ∀ i j k, PreservesLimit (cospan (D.f i j) (D.f i k)) F]
instance (i j k : D.J) : HasPullback (F.map (D.f i j)) (F.map (D.f i k)) :=
⟨⟨⟨_, isLimitOfHasPullbackOfPreservesLimit F (D.f i j) (D.f i k)⟩⟩⟩
@[simps]
def mapGlueData : GlueData C' where
J := D.J
U i := F.obj (D.U i)
V i := F.obj (D.V i)
f i j := F.map (D.f i j)
f_mono i j := preserves_mono_of_preservesLimit _ _
f_id i := inferInstance
t i j := F.map (D.t i j)
t_id i := by
simp [D.t_id i]
t' i j k :=
(PreservesPullback.iso F (D.f i j) (D.f i k)).inv ≫
F.map (D.t' i j k) ≫ (PreservesPullback.iso F (D.f j k) (D.f j i)).hom
t_fac i j k := by simpa [Iso.inv_comp_eq] using congr_arg (fun f => F.map f) (D.t_fac i j k)
cocycle i j k := by
simp only [Category.assoc, Iso.hom_inv_id_assoc, ← Functor.map_comp_assoc, D.cocycle,
Iso.inv_hom_id, CategoryTheory.Functor.map_id, Category.id_comp]
#align category_theory.glue_data.map_glue_data CategoryTheory.GlueData.mapGlueData
def diagramIso : D.diagram.multispan ⋙ F ≅ (D.mapGlueData F).diagram.multispan :=
NatIso.ofComponents
(fun x =>
match x with
| WalkingMultispan.left a => Iso.refl _
| WalkingMultispan.right b => Iso.refl _)
(by
rintro (⟨_, _⟩ | _) _ (_ | _ | _)
· erw [Category.comp_id, Category.id_comp, Functor.map_id]
rfl
· erw [Category.comp_id, Category.id_comp]
rfl
· erw [Category.comp_id, Category.id_comp, Functor.map_comp]
rfl
· erw [Category.comp_id, Category.id_comp, Functor.map_id]
rfl)
#align category_theory.glue_data.diagram_iso CategoryTheory.GlueData.diagramIso
@[simp]
theorem diagramIso_app_left (i : D.J × D.J) :
(D.diagramIso F).app (WalkingMultispan.left i) = Iso.refl _ :=
rfl
#align category_theory.glue_data.diagram_iso_app_left CategoryTheory.GlueData.diagramIso_app_left
@[simp]
theorem diagramIso_app_right (i : D.J) :
(D.diagramIso F).app (WalkingMultispan.right i) = Iso.refl _ :=
rfl
#align category_theory.glue_data.diagram_iso_app_right CategoryTheory.GlueData.diagramIso_app_right
@[simp]
theorem diagramIso_hom_app_left (i : D.J × D.J) :
(D.diagramIso F).hom.app (WalkingMultispan.left i) = 𝟙 _ :=
rfl
#align category_theory.glue_data.diagram_iso_hom_app_left CategoryTheory.GlueData.diagramIso_hom_app_left
@[simp]
theorem diagramIso_hom_app_right (i : D.J) :
(D.diagramIso F).hom.app (WalkingMultispan.right i) = 𝟙 _ :=
rfl
#align category_theory.glue_data.diagram_iso_hom_app_right CategoryTheory.GlueData.diagramIso_hom_app_right
@[simp]
theorem diagramIso_inv_app_left (i : D.J × D.J) :
(D.diagramIso F).inv.app (WalkingMultispan.left i) = 𝟙 _ :=
rfl
#align category_theory.glue_data.diagram_iso_inv_app_left CategoryTheory.GlueData.diagramIso_inv_app_left
@[simp]
theorem diagramIso_inv_app_right (i : D.J) :
(D.diagramIso F).inv.app (WalkingMultispan.right i) = 𝟙 _ :=
rfl
#align category_theory.glue_data.diagram_iso_inv_app_right CategoryTheory.GlueData.diagramIso_inv_app_right
variable [HasMulticoequalizer D.diagram] [PreservesColimit D.diagram.multispan F]
theorem hasColimit_multispan_comp : HasColimit (D.diagram.multispan ⋙ F) :=
⟨⟨⟨_, PreservesColimit.preserves (colimit.isColimit _)⟩⟩⟩
#align category_theory.glue_data.has_colimit_multispan_comp CategoryTheory.GlueData.hasColimit_multispan_comp
attribute [local instance] hasColimit_multispan_comp
theorem hasColimit_mapGlueData_diagram : HasMulticoequalizer (D.mapGlueData F).diagram :=
hasColimitOfIso (D.diagramIso F).symm
#align category_theory.glue_data.has_colimit_map_glue_data_diagram CategoryTheory.GlueData.hasColimit_mapGlueData_diagram
attribute [local instance] hasColimit_mapGlueData_diagram
def gluedIso : F.obj D.glued ≅ (D.mapGlueData F).glued :=
haveI : HasColimit (MultispanIndex.multispan (diagram (mapGlueData D F))) := inferInstance
preservesColimitIso F D.diagram.multispan ≪≫ Limits.HasColimit.isoOfNatIso (D.diagramIso F)
#align category_theory.glue_data.glued_iso CategoryTheory.GlueData.gluedIso
@[reassoc (attr := simp)]
| Mathlib/CategoryTheory/GlueData.lean | 354 | 359 | theorem ι_gluedIso_hom (i : D.J) : F.map (D.ι i) ≫ (D.gluedIso F).hom = (D.mapGlueData F).ι i := by |
haveI : HasColimit (MultispanIndex.multispan (diagram (mapGlueData D F))) := inferInstance
erw [ι_preservesColimitsIso_hom_assoc]
rw [HasColimit.isoOfNatIso_ι_hom]
erw [Category.id_comp]
rfl
|
import Mathlib.MeasureTheory.Function.LpOrder
#align_import measure_theory.function.l1_space from "leanprover-community/mathlib"@"ccdbfb6e5614667af5aa3ab2d50885e0ef44a46f"
noncomputable section
open scoped Classical
open Topology ENNReal MeasureTheory NNReal
open Set Filter TopologicalSpace ENNReal EMetric MeasureTheory
variable {α β γ δ : Type*} {m : MeasurableSpace α} {μ ν : Measure α} [MeasurableSpace δ]
variable [NormedAddCommGroup β]
variable [NormedAddCommGroup γ]
namespace MeasureTheory
theorem lintegral_nnnorm_eq_lintegral_edist (f : α → β) :
∫⁻ a, ‖f a‖₊ ∂μ = ∫⁻ a, edist (f a) 0 ∂μ := by simp only [edist_eq_coe_nnnorm]
#align measure_theory.lintegral_nnnorm_eq_lintegral_edist MeasureTheory.lintegral_nnnorm_eq_lintegral_edist
theorem lintegral_norm_eq_lintegral_edist (f : α → β) :
∫⁻ a, ENNReal.ofReal ‖f a‖ ∂μ = ∫⁻ a, edist (f a) 0 ∂μ := by
simp only [ofReal_norm_eq_coe_nnnorm, edist_eq_coe_nnnorm]
#align measure_theory.lintegral_norm_eq_lintegral_edist MeasureTheory.lintegral_norm_eq_lintegral_edist
theorem lintegral_edist_triangle {f g h : α → β} (hf : AEStronglyMeasurable f μ)
(hh : AEStronglyMeasurable h μ) :
(∫⁻ a, edist (f a) (g a) ∂μ) ≤ (∫⁻ a, edist (f a) (h a) ∂μ) + ∫⁻ a, edist (g a) (h a) ∂μ := by
rw [← lintegral_add_left' (hf.edist hh)]
refine lintegral_mono fun a => ?_
apply edist_triangle_right
#align measure_theory.lintegral_edist_triangle MeasureTheory.lintegral_edist_triangle
theorem lintegral_nnnorm_zero : (∫⁻ _ : α, ‖(0 : β)‖₊ ∂μ) = 0 := by simp
#align measure_theory.lintegral_nnnorm_zero MeasureTheory.lintegral_nnnorm_zero
theorem lintegral_nnnorm_add_left {f : α → β} (hf : AEStronglyMeasurable f μ) (g : α → γ) :
∫⁻ a, ‖f a‖₊ + ‖g a‖₊ ∂μ = (∫⁻ a, ‖f a‖₊ ∂μ) + ∫⁻ a, ‖g a‖₊ ∂μ :=
lintegral_add_left' hf.ennnorm _
#align measure_theory.lintegral_nnnorm_add_left MeasureTheory.lintegral_nnnorm_add_left
theorem lintegral_nnnorm_add_right (f : α → β) {g : α → γ} (hg : AEStronglyMeasurable g μ) :
∫⁻ a, ‖f a‖₊ + ‖g a‖₊ ∂μ = (∫⁻ a, ‖f a‖₊ ∂μ) + ∫⁻ a, ‖g a‖₊ ∂μ :=
lintegral_add_right' _ hg.ennnorm
#align measure_theory.lintegral_nnnorm_add_right MeasureTheory.lintegral_nnnorm_add_right
theorem lintegral_nnnorm_neg {f : α → β} : (∫⁻ a, ‖(-f) a‖₊ ∂μ) = ∫⁻ a, ‖f a‖₊ ∂μ := by
simp only [Pi.neg_apply, nnnorm_neg]
#align measure_theory.lintegral_nnnorm_neg MeasureTheory.lintegral_nnnorm_neg
def HasFiniteIntegral {_ : MeasurableSpace α} (f : α → β) (μ : Measure α := by volume_tac) : Prop :=
(∫⁻ a, ‖f a‖₊ ∂μ) < ∞
#align measure_theory.has_finite_integral MeasureTheory.HasFiniteIntegral
theorem hasFiniteIntegral_def {_ : MeasurableSpace α} (f : α → β) (μ : Measure α) :
HasFiniteIntegral f μ ↔ ((∫⁻ a, ‖f a‖₊ ∂μ) < ∞) :=
Iff.rfl
theorem hasFiniteIntegral_iff_norm (f : α → β) :
HasFiniteIntegral f μ ↔ (∫⁻ a, ENNReal.ofReal ‖f a‖ ∂μ) < ∞ := by
simp only [HasFiniteIntegral, ofReal_norm_eq_coe_nnnorm]
#align measure_theory.has_finite_integral_iff_norm MeasureTheory.hasFiniteIntegral_iff_norm
theorem hasFiniteIntegral_iff_edist (f : α → β) :
HasFiniteIntegral f μ ↔ (∫⁻ a, edist (f a) 0 ∂μ) < ∞ := by
simp only [hasFiniteIntegral_iff_norm, edist_dist, dist_zero_right]
#align measure_theory.has_finite_integral_iff_edist MeasureTheory.hasFiniteIntegral_iff_edist
theorem hasFiniteIntegral_iff_ofReal {f : α → ℝ} (h : 0 ≤ᵐ[μ] f) :
HasFiniteIntegral f μ ↔ (∫⁻ a, ENNReal.ofReal (f a) ∂μ) < ∞ := by
rw [HasFiniteIntegral, lintegral_nnnorm_eq_of_ae_nonneg h]
#align measure_theory.has_finite_integral_iff_of_real MeasureTheory.hasFiniteIntegral_iff_ofReal
theorem hasFiniteIntegral_iff_ofNNReal {f : α → ℝ≥0} :
HasFiniteIntegral (fun x => (f x : ℝ)) μ ↔ (∫⁻ a, f a ∂μ) < ∞ := by
simp [hasFiniteIntegral_iff_norm]
#align measure_theory.has_finite_integral_iff_of_nnreal MeasureTheory.hasFiniteIntegral_iff_ofNNReal
theorem HasFiniteIntegral.mono {f : α → β} {g : α → γ} (hg : HasFiniteIntegral g μ)
(h : ∀ᵐ a ∂μ, ‖f a‖ ≤ ‖g a‖) : HasFiniteIntegral f μ := by
simp only [hasFiniteIntegral_iff_norm] at *
calc
(∫⁻ a, ENNReal.ofReal ‖f a‖ ∂μ) ≤ ∫⁻ a : α, ENNReal.ofReal ‖g a‖ ∂μ :=
lintegral_mono_ae (h.mono fun a h => ofReal_le_ofReal h)
_ < ∞ := hg
#align measure_theory.has_finite_integral.mono MeasureTheory.HasFiniteIntegral.mono
theorem HasFiniteIntegral.mono' {f : α → β} {g : α → ℝ} (hg : HasFiniteIntegral g μ)
(h : ∀ᵐ a ∂μ, ‖f a‖ ≤ g a) : HasFiniteIntegral f μ :=
hg.mono <| h.mono fun _x hx => le_trans hx (le_abs_self _)
#align measure_theory.has_finite_integral.mono' MeasureTheory.HasFiniteIntegral.mono'
theorem HasFiniteIntegral.congr' {f : α → β} {g : α → γ} (hf : HasFiniteIntegral f μ)
(h : ∀ᵐ a ∂μ, ‖f a‖ = ‖g a‖) : HasFiniteIntegral g μ :=
hf.mono <| EventuallyEq.le <| EventuallyEq.symm h
#align measure_theory.has_finite_integral.congr' MeasureTheory.HasFiniteIntegral.congr'
theorem hasFiniteIntegral_congr' {f : α → β} {g : α → γ} (h : ∀ᵐ a ∂μ, ‖f a‖ = ‖g a‖) :
HasFiniteIntegral f μ ↔ HasFiniteIntegral g μ :=
⟨fun hf => hf.congr' h, fun hg => hg.congr' <| EventuallyEq.symm h⟩
#align measure_theory.has_finite_integral_congr' MeasureTheory.hasFiniteIntegral_congr'
theorem HasFiniteIntegral.congr {f g : α → β} (hf : HasFiniteIntegral f μ) (h : f =ᵐ[μ] g) :
HasFiniteIntegral g μ :=
hf.congr' <| h.fun_comp norm
#align measure_theory.has_finite_integral.congr MeasureTheory.HasFiniteIntegral.congr
theorem hasFiniteIntegral_congr {f g : α → β} (h : f =ᵐ[μ] g) :
HasFiniteIntegral f μ ↔ HasFiniteIntegral g μ :=
hasFiniteIntegral_congr' <| h.fun_comp norm
#align measure_theory.has_finite_integral_congr MeasureTheory.hasFiniteIntegral_congr
theorem hasFiniteIntegral_const_iff {c : β} :
HasFiniteIntegral (fun _ : α => c) μ ↔ c = 0 ∨ μ univ < ∞ := by
simp [HasFiniteIntegral, lintegral_const, lt_top_iff_ne_top, ENNReal.mul_eq_top,
or_iff_not_imp_left]
#align measure_theory.has_finite_integral_const_iff MeasureTheory.hasFiniteIntegral_const_iff
theorem hasFiniteIntegral_const [IsFiniteMeasure μ] (c : β) :
HasFiniteIntegral (fun _ : α => c) μ :=
hasFiniteIntegral_const_iff.2 (Or.inr <| measure_lt_top _ _)
#align measure_theory.has_finite_integral_const MeasureTheory.hasFiniteIntegral_const
theorem hasFiniteIntegral_of_bounded [IsFiniteMeasure μ] {f : α → β} {C : ℝ}
(hC : ∀ᵐ a ∂μ, ‖f a‖ ≤ C) : HasFiniteIntegral f μ :=
(hasFiniteIntegral_const C).mono' hC
#align measure_theory.has_finite_integral_of_bounded MeasureTheory.hasFiniteIntegral_of_bounded
theorem HasFiniteIntegral.of_finite [Finite α] [IsFiniteMeasure μ] {f : α → β} :
HasFiniteIntegral f μ :=
let ⟨_⟩ := nonempty_fintype α
hasFiniteIntegral_of_bounded <| ae_of_all μ <| norm_le_pi_norm f
@[deprecated (since := "2024-02-05")]
alias hasFiniteIntegral_of_fintype := HasFiniteIntegral.of_finite
theorem HasFiniteIntegral.mono_measure {f : α → β} (h : HasFiniteIntegral f ν) (hμ : μ ≤ ν) :
HasFiniteIntegral f μ :=
lt_of_le_of_lt (lintegral_mono' hμ le_rfl) h
#align measure_theory.has_finite_integral.mono_measure MeasureTheory.HasFiniteIntegral.mono_measure
theorem HasFiniteIntegral.add_measure {f : α → β} (hμ : HasFiniteIntegral f μ)
(hν : HasFiniteIntegral f ν) : HasFiniteIntegral f (μ + ν) := by
simp only [HasFiniteIntegral, lintegral_add_measure] at *
exact add_lt_top.2 ⟨hμ, hν⟩
#align measure_theory.has_finite_integral.add_measure MeasureTheory.HasFiniteIntegral.add_measure
theorem HasFiniteIntegral.left_of_add_measure {f : α → β} (h : HasFiniteIntegral f (μ + ν)) :
HasFiniteIntegral f μ :=
h.mono_measure <| Measure.le_add_right <| le_rfl
#align measure_theory.has_finite_integral.left_of_add_measure MeasureTheory.HasFiniteIntegral.left_of_add_measure
theorem HasFiniteIntegral.right_of_add_measure {f : α → β} (h : HasFiniteIntegral f (μ + ν)) :
HasFiniteIntegral f ν :=
h.mono_measure <| Measure.le_add_left <| le_rfl
#align measure_theory.has_finite_integral.right_of_add_measure MeasureTheory.HasFiniteIntegral.right_of_add_measure
@[simp]
theorem hasFiniteIntegral_add_measure {f : α → β} :
HasFiniteIntegral f (μ + ν) ↔ HasFiniteIntegral f μ ∧ HasFiniteIntegral f ν :=
⟨fun h => ⟨h.left_of_add_measure, h.right_of_add_measure⟩, fun h => h.1.add_measure h.2⟩
#align measure_theory.has_finite_integral_add_measure MeasureTheory.hasFiniteIntegral_add_measure
theorem HasFiniteIntegral.smul_measure {f : α → β} (h : HasFiniteIntegral f μ) {c : ℝ≥0∞}
(hc : c ≠ ∞) : HasFiniteIntegral f (c • μ) := by
simp only [HasFiniteIntegral, lintegral_smul_measure] at *
exact mul_lt_top hc h.ne
#align measure_theory.has_finite_integral.smul_measure MeasureTheory.HasFiniteIntegral.smul_measure
@[simp]
theorem hasFiniteIntegral_zero_measure {m : MeasurableSpace α} (f : α → β) :
HasFiniteIntegral f (0 : Measure α) := by
simp only [HasFiniteIntegral, lintegral_zero_measure, zero_lt_top]
#align measure_theory.has_finite_integral_zero_measure MeasureTheory.hasFiniteIntegral_zero_measure
variable (α β μ)
@[simp]
theorem hasFiniteIntegral_zero : HasFiniteIntegral (fun _ : α => (0 : β)) μ := by
simp [HasFiniteIntegral]
#align measure_theory.has_finite_integral_zero MeasureTheory.hasFiniteIntegral_zero
variable {α β μ}
theorem HasFiniteIntegral.neg {f : α → β} (hfi : HasFiniteIntegral f μ) :
HasFiniteIntegral (-f) μ := by simpa [HasFiniteIntegral] using hfi
#align measure_theory.has_finite_integral.neg MeasureTheory.HasFiniteIntegral.neg
@[simp]
theorem hasFiniteIntegral_neg_iff {f : α → β} : HasFiniteIntegral (-f) μ ↔ HasFiniteIntegral f μ :=
⟨fun h => neg_neg f ▸ h.neg, HasFiniteIntegral.neg⟩
#align measure_theory.has_finite_integral_neg_iff MeasureTheory.hasFiniteIntegral_neg_iff
theorem HasFiniteIntegral.norm {f : α → β} (hfi : HasFiniteIntegral f μ) :
HasFiniteIntegral (fun a => ‖f a‖) μ := by
have eq : (fun a => (nnnorm ‖f a‖ : ℝ≥0∞)) = fun a => (‖f a‖₊ : ℝ≥0∞) := by
funext
rw [nnnorm_norm]
rwa [HasFiniteIntegral, eq]
#align measure_theory.has_finite_integral.norm MeasureTheory.HasFiniteIntegral.norm
theorem hasFiniteIntegral_norm_iff (f : α → β) :
HasFiniteIntegral (fun a => ‖f a‖) μ ↔ HasFiniteIntegral f μ :=
hasFiniteIntegral_congr' <| eventually_of_forall fun x => norm_norm (f x)
#align measure_theory.has_finite_integral_norm_iff MeasureTheory.hasFiniteIntegral_norm_iff
theorem hasFiniteIntegral_toReal_of_lintegral_ne_top {f : α → ℝ≥0∞} (hf : (∫⁻ x, f x ∂μ) ≠ ∞) :
HasFiniteIntegral (fun x => (f x).toReal) μ := by
have :
∀ x, (‖(f x).toReal‖₊ : ℝ≥0∞) = ENNReal.ofNNReal ⟨(f x).toReal, ENNReal.toReal_nonneg⟩ := by
intro x
rw [Real.nnnorm_of_nonneg]
simp_rw [HasFiniteIntegral, this]
refine lt_of_le_of_lt (lintegral_mono fun x => ?_) (lt_top_iff_ne_top.2 hf)
by_cases hfx : f x = ∞
· simp [hfx]
· lift f x to ℝ≥0 using hfx with fx h
simp [← h, ← NNReal.coe_le_coe]
#align measure_theory.has_finite_integral_to_real_of_lintegral_ne_top MeasureTheory.hasFiniteIntegral_toReal_of_lintegral_ne_top
theorem isFiniteMeasure_withDensity_ofReal {f : α → ℝ} (hfi : HasFiniteIntegral f μ) :
IsFiniteMeasure (μ.withDensity fun x => ENNReal.ofReal <| f x) := by
refine isFiniteMeasure_withDensity ((lintegral_mono fun x => ?_).trans_lt hfi).ne
exact Real.ofReal_le_ennnorm (f x)
#align measure_theory.is_finite_measure_with_density_of_real MeasureTheory.isFiniteMeasure_withDensity_ofReal
-- variable [MeasurableSpace β] [MeasurableSpace γ] [MeasurableSpace δ]
def Integrable {α} {_ : MeasurableSpace α} (f : α → β) (μ : Measure α := by volume_tac) : Prop :=
AEStronglyMeasurable f μ ∧ HasFiniteIntegral f μ
#align measure_theory.integrable MeasureTheory.Integrable
theorem memℒp_one_iff_integrable {f : α → β} : Memℒp f 1 μ ↔ Integrable f μ := by
simp_rw [Integrable, HasFiniteIntegral, Memℒp, snorm_one_eq_lintegral_nnnorm]
#align measure_theory.mem_ℒp_one_iff_integrable MeasureTheory.memℒp_one_iff_integrable
theorem Integrable.aestronglyMeasurable {f : α → β} (hf : Integrable f μ) :
AEStronglyMeasurable f μ :=
hf.1
#align measure_theory.integrable.ae_strongly_measurable MeasureTheory.Integrable.aestronglyMeasurable
theorem Integrable.aemeasurable [MeasurableSpace β] [BorelSpace β] {f : α → β}
(hf : Integrable f μ) : AEMeasurable f μ :=
hf.aestronglyMeasurable.aemeasurable
#align measure_theory.integrable.ae_measurable MeasureTheory.Integrable.aemeasurable
theorem Integrable.hasFiniteIntegral {f : α → β} (hf : Integrable f μ) : HasFiniteIntegral f μ :=
hf.2
#align measure_theory.integrable.has_finite_integral MeasureTheory.Integrable.hasFiniteIntegral
theorem Integrable.mono {f : α → β} {g : α → γ} (hg : Integrable g μ)
(hf : AEStronglyMeasurable f μ) (h : ∀ᵐ a ∂μ, ‖f a‖ ≤ ‖g a‖) : Integrable f μ :=
⟨hf, hg.hasFiniteIntegral.mono h⟩
#align measure_theory.integrable.mono MeasureTheory.Integrable.mono
theorem Integrable.mono' {f : α → β} {g : α → ℝ} (hg : Integrable g μ)
(hf : AEStronglyMeasurable f μ) (h : ∀ᵐ a ∂μ, ‖f a‖ ≤ g a) : Integrable f μ :=
⟨hf, hg.hasFiniteIntegral.mono' h⟩
#align measure_theory.integrable.mono' MeasureTheory.Integrable.mono'
theorem Integrable.congr' {f : α → β} {g : α → γ} (hf : Integrable f μ)
(hg : AEStronglyMeasurable g μ) (h : ∀ᵐ a ∂μ, ‖f a‖ = ‖g a‖) : Integrable g μ :=
⟨hg, hf.hasFiniteIntegral.congr' h⟩
#align measure_theory.integrable.congr' MeasureTheory.Integrable.congr'
theorem integrable_congr' {f : α → β} {g : α → γ} (hf : AEStronglyMeasurable f μ)
(hg : AEStronglyMeasurable g μ) (h : ∀ᵐ a ∂μ, ‖f a‖ = ‖g a‖) :
Integrable f μ ↔ Integrable g μ :=
⟨fun h2f => h2f.congr' hg h, fun h2g => h2g.congr' hf <| EventuallyEq.symm h⟩
#align measure_theory.integrable_congr' MeasureTheory.integrable_congr'
theorem Integrable.congr {f g : α → β} (hf : Integrable f μ) (h : f =ᵐ[μ] g) : Integrable g μ :=
⟨hf.1.congr h, hf.2.congr h⟩
#align measure_theory.integrable.congr MeasureTheory.Integrable.congr
theorem integrable_congr {f g : α → β} (h : f =ᵐ[μ] g) : Integrable f μ ↔ Integrable g μ :=
⟨fun hf => hf.congr h, fun hg => hg.congr h.symm⟩
#align measure_theory.integrable_congr MeasureTheory.integrable_congr
theorem integrable_const_iff {c : β} : Integrable (fun _ : α => c) μ ↔ c = 0 ∨ μ univ < ∞ := by
have : AEStronglyMeasurable (fun _ : α => c) μ := aestronglyMeasurable_const
rw [Integrable, and_iff_right this, hasFiniteIntegral_const_iff]
#align measure_theory.integrable_const_iff MeasureTheory.integrable_const_iff
@[simp]
theorem integrable_const [IsFiniteMeasure μ] (c : β) : Integrable (fun _ : α => c) μ :=
integrable_const_iff.2 <| Or.inr <| measure_lt_top _ _
#align measure_theory.integrable_const MeasureTheory.integrable_const
@[simp]
theorem Integrable.of_finite [Finite α] [MeasurableSpace α] [MeasurableSingletonClass α]
(μ : Measure α) [IsFiniteMeasure μ] (f : α → β) : Integrable (fun a ↦ f a) μ :=
⟨(StronglyMeasurable.of_finite f).aestronglyMeasurable, .of_finite⟩
@[deprecated (since := "2024-02-05")] alias integrable_of_fintype := Integrable.of_finite
theorem Memℒp.integrable_norm_rpow {f : α → β} {p : ℝ≥0∞} (hf : Memℒp f p μ) (hp_ne_zero : p ≠ 0)
(hp_ne_top : p ≠ ∞) : Integrable (fun x : α => ‖f x‖ ^ p.toReal) μ := by
rw [← memℒp_one_iff_integrable]
exact hf.norm_rpow hp_ne_zero hp_ne_top
#align measure_theory.mem_ℒp.integrable_norm_rpow MeasureTheory.Memℒp.integrable_norm_rpow
theorem Memℒp.integrable_norm_rpow' [IsFiniteMeasure μ] {f : α → β} {p : ℝ≥0∞} (hf : Memℒp f p μ) :
Integrable (fun x : α => ‖f x‖ ^ p.toReal) μ := by
by_cases h_zero : p = 0
· simp [h_zero, integrable_const]
by_cases h_top : p = ∞
· simp [h_top, integrable_const]
exact hf.integrable_norm_rpow h_zero h_top
#align measure_theory.mem_ℒp.integrable_norm_rpow' MeasureTheory.Memℒp.integrable_norm_rpow'
theorem Integrable.mono_measure {f : α → β} (h : Integrable f ν) (hμ : μ ≤ ν) : Integrable f μ :=
⟨h.aestronglyMeasurable.mono_measure hμ, h.hasFiniteIntegral.mono_measure hμ⟩
#align measure_theory.integrable.mono_measure MeasureTheory.Integrable.mono_measure
theorem Integrable.of_measure_le_smul {μ' : Measure α} (c : ℝ≥0∞) (hc : c ≠ ∞) (hμ'_le : μ' ≤ c • μ)
{f : α → β} (hf : Integrable f μ) : Integrable f μ' := by
rw [← memℒp_one_iff_integrable] at hf ⊢
exact hf.of_measure_le_smul c hc hμ'_le
#align measure_theory.integrable.of_measure_le_smul MeasureTheory.Integrable.of_measure_le_smul
theorem Integrable.add_measure {f : α → β} (hμ : Integrable f μ) (hν : Integrable f ν) :
Integrable f (μ + ν) := by
simp_rw [← memℒp_one_iff_integrable] at hμ hν ⊢
refine ⟨hμ.aestronglyMeasurable.add_measure hν.aestronglyMeasurable, ?_⟩
rw [snorm_one_add_measure, ENNReal.add_lt_top]
exact ⟨hμ.snorm_lt_top, hν.snorm_lt_top⟩
#align measure_theory.integrable.add_measure MeasureTheory.Integrable.add_measure
theorem Integrable.left_of_add_measure {f : α → β} (h : Integrable f (μ + ν)) : Integrable f μ := by
rw [← memℒp_one_iff_integrable] at h ⊢
exact h.left_of_add_measure
#align measure_theory.integrable.left_of_add_measure MeasureTheory.Integrable.left_of_add_measure
theorem Integrable.right_of_add_measure {f : α → β} (h : Integrable f (μ + ν)) :
Integrable f ν := by
rw [← memℒp_one_iff_integrable] at h ⊢
exact h.right_of_add_measure
#align measure_theory.integrable.right_of_add_measure MeasureTheory.Integrable.right_of_add_measure
@[simp]
theorem integrable_add_measure {f : α → β} :
Integrable f (μ + ν) ↔ Integrable f μ ∧ Integrable f ν :=
⟨fun h => ⟨h.left_of_add_measure, h.right_of_add_measure⟩, fun h => h.1.add_measure h.2⟩
#align measure_theory.integrable_add_measure MeasureTheory.integrable_add_measure
@[simp]
theorem integrable_zero_measure {_ : MeasurableSpace α} {f : α → β} :
Integrable f (0 : Measure α) :=
⟨aestronglyMeasurable_zero_measure f, hasFiniteIntegral_zero_measure f⟩
#align measure_theory.integrable_zero_measure MeasureTheory.integrable_zero_measure
theorem integrable_finset_sum_measure {ι} {m : MeasurableSpace α} {f : α → β} {μ : ι → Measure α}
{s : Finset ι} : Integrable f (∑ i ∈ s, μ i) ↔ ∀ i ∈ s, Integrable f (μ i) := by
induction s using Finset.induction_on <;> simp [*]
#align measure_theory.integrable_finset_sum_measure MeasureTheory.integrable_finset_sum_measure
theorem Integrable.smul_measure {f : α → β} (h : Integrable f μ) {c : ℝ≥0∞} (hc : c ≠ ∞) :
Integrable f (c • μ) := by
rw [← memℒp_one_iff_integrable] at h ⊢
exact h.smul_measure hc
#align measure_theory.integrable.smul_measure MeasureTheory.Integrable.smul_measure
theorem Integrable.smul_measure_nnreal {f : α → β} (h : Integrable f μ) {c : ℝ≥0} :
Integrable f (c • μ) := by
apply h.smul_measure
simp
theorem integrable_smul_measure {f : α → β} {c : ℝ≥0∞} (h₁ : c ≠ 0) (h₂ : c ≠ ∞) :
Integrable f (c • μ) ↔ Integrable f μ :=
⟨fun h => by
simpa only [smul_smul, ENNReal.inv_mul_cancel h₁ h₂, one_smul] using
h.smul_measure (ENNReal.inv_ne_top.2 h₁),
fun h => h.smul_measure h₂⟩
#align measure_theory.integrable_smul_measure MeasureTheory.integrable_smul_measure
theorem integrable_inv_smul_measure {f : α → β} {c : ℝ≥0∞} (h₁ : c ≠ 0) (h₂ : c ≠ ∞) :
Integrable f (c⁻¹ • μ) ↔ Integrable f μ :=
integrable_smul_measure (by simpa using h₂) (by simpa using h₁)
#align measure_theory.integrable_inv_smul_measure MeasureTheory.integrable_inv_smul_measure
theorem Integrable.to_average {f : α → β} (h : Integrable f μ) : Integrable f ((μ univ)⁻¹ • μ) := by
rcases eq_or_ne μ 0 with (rfl | hne)
· rwa [smul_zero]
· apply h.smul_measure
simpa
#align measure_theory.integrable.to_average MeasureTheory.Integrable.to_average
theorem integrable_average [IsFiniteMeasure μ] {f : α → β} :
Integrable f ((μ univ)⁻¹ • μ) ↔ Integrable f μ :=
(eq_or_ne μ 0).by_cases (fun h => by simp [h]) fun h =>
integrable_smul_measure (ENNReal.inv_ne_zero.2 <| measure_ne_top _ _)
(ENNReal.inv_ne_top.2 <| mt Measure.measure_univ_eq_zero.1 h)
#align measure_theory.integrable_average MeasureTheory.integrable_average
theorem integrable_map_measure {f : α → δ} {g : δ → β}
(hg : AEStronglyMeasurable g (Measure.map f μ)) (hf : AEMeasurable f μ) :
Integrable g (Measure.map f μ) ↔ Integrable (g ∘ f) μ := by
simp_rw [← memℒp_one_iff_integrable]
exact memℒp_map_measure_iff hg hf
#align measure_theory.integrable_map_measure MeasureTheory.integrable_map_measure
theorem Integrable.comp_aemeasurable {f : α → δ} {g : δ → β} (hg : Integrable g (Measure.map f μ))
(hf : AEMeasurable f μ) : Integrable (g ∘ f) μ :=
(integrable_map_measure hg.aestronglyMeasurable hf).mp hg
#align measure_theory.integrable.comp_ae_measurable MeasureTheory.Integrable.comp_aemeasurable
theorem Integrable.comp_measurable {f : α → δ} {g : δ → β} (hg : Integrable g (Measure.map f μ))
(hf : Measurable f) : Integrable (g ∘ f) μ :=
hg.comp_aemeasurable hf.aemeasurable
#align measure_theory.integrable.comp_measurable MeasureTheory.Integrable.comp_measurable
theorem _root_.MeasurableEmbedding.integrable_map_iff {f : α → δ} (hf : MeasurableEmbedding f)
{g : δ → β} : Integrable g (Measure.map f μ) ↔ Integrable (g ∘ f) μ := by
simp_rw [← memℒp_one_iff_integrable]
exact hf.memℒp_map_measure_iff
#align measurable_embedding.integrable_map_iff MeasurableEmbedding.integrable_map_iff
theorem integrable_map_equiv (f : α ≃ᵐ δ) (g : δ → β) :
Integrable g (Measure.map f μ) ↔ Integrable (g ∘ f) μ := by
simp_rw [← memℒp_one_iff_integrable]
exact f.memℒp_map_measure_iff
#align measure_theory.integrable_map_equiv MeasureTheory.integrable_map_equiv
theorem MeasurePreserving.integrable_comp {ν : Measure δ} {g : δ → β} {f : α → δ}
(hf : MeasurePreserving f μ ν) (hg : AEStronglyMeasurable g ν) :
Integrable (g ∘ f) μ ↔ Integrable g ν := by
rw [← hf.map_eq] at hg ⊢
exact (integrable_map_measure hg hf.measurable.aemeasurable).symm
#align measure_theory.measure_preserving.integrable_comp MeasureTheory.MeasurePreserving.integrable_comp
theorem MeasurePreserving.integrable_comp_emb {f : α → δ} {ν} (h₁ : MeasurePreserving f μ ν)
(h₂ : MeasurableEmbedding f) {g : δ → β} : Integrable (g ∘ f) μ ↔ Integrable g ν :=
h₁.map_eq ▸ Iff.symm h₂.integrable_map_iff
#align measure_theory.measure_preserving.integrable_comp_emb MeasureTheory.MeasurePreserving.integrable_comp_emb
theorem lintegral_edist_lt_top {f g : α → β} (hf : Integrable f μ) (hg : Integrable g μ) :
(∫⁻ a, edist (f a) (g a) ∂μ) < ∞ :=
lt_of_le_of_lt (lintegral_edist_triangle hf.aestronglyMeasurable aestronglyMeasurable_zero)
(ENNReal.add_lt_top.2 <| by
simp_rw [Pi.zero_apply, ← hasFiniteIntegral_iff_edist]
exact ⟨hf.hasFiniteIntegral, hg.hasFiniteIntegral⟩)
#align measure_theory.lintegral_edist_lt_top MeasureTheory.lintegral_edist_lt_top
variable (α β μ)
@[simp]
theorem integrable_zero : Integrable (fun _ => (0 : β)) μ := by
simp [Integrable, aestronglyMeasurable_const]
#align measure_theory.integrable_zero MeasureTheory.integrable_zero
variable {α β μ}
theorem Integrable.add' {f g : α → β} (hf : Integrable f μ) (hg : Integrable g μ) :
HasFiniteIntegral (f + g) μ :=
calc
(∫⁻ a, ‖f a + g a‖₊ ∂μ) ≤ ∫⁻ a, ‖f a‖₊ + ‖g a‖₊ ∂μ :=
lintegral_mono fun a => by
-- After leanprover/lean4#2734, we need to do beta reduction before `exact mod_cast`
beta_reduce
exact mod_cast nnnorm_add_le _ _
_ = _ := lintegral_nnnorm_add_left hf.aestronglyMeasurable _
_ < ∞ := add_lt_top.2 ⟨hf.hasFiniteIntegral, hg.hasFiniteIntegral⟩
#align measure_theory.integrable.add' MeasureTheory.Integrable.add'
theorem Integrable.add {f g : α → β} (hf : Integrable f μ) (hg : Integrable g μ) :
Integrable (f + g) μ :=
⟨hf.aestronglyMeasurable.add hg.aestronglyMeasurable, hf.add' hg⟩
#align measure_theory.integrable.add MeasureTheory.Integrable.add
theorem integrable_finset_sum' {ι} (s : Finset ι) {f : ι → α → β}
(hf : ∀ i ∈ s, Integrable (f i) μ) : Integrable (∑ i ∈ s, f i) μ :=
Finset.sum_induction f (fun g => Integrable g μ) (fun _ _ => Integrable.add)
(integrable_zero _ _ _) hf
#align measure_theory.integrable_finset_sum' MeasureTheory.integrable_finset_sum'
theorem integrable_finset_sum {ι} (s : Finset ι) {f : ι → α → β}
(hf : ∀ i ∈ s, Integrable (f i) μ) : Integrable (fun a => ∑ i ∈ s, f i a) μ := by
simpa only [← Finset.sum_apply] using integrable_finset_sum' s hf
#align measure_theory.integrable_finset_sum MeasureTheory.integrable_finset_sum
theorem Integrable.neg {f : α → β} (hf : Integrable f μ) : Integrable (-f) μ :=
⟨hf.aestronglyMeasurable.neg, hf.hasFiniteIntegral.neg⟩
#align measure_theory.integrable.neg MeasureTheory.Integrable.neg
@[simp]
theorem integrable_neg_iff {f : α → β} : Integrable (-f) μ ↔ Integrable f μ :=
⟨fun h => neg_neg f ▸ h.neg, Integrable.neg⟩
#align measure_theory.integrable_neg_iff MeasureTheory.integrable_neg_iff
@[simp]
lemma integrable_add_iff_integrable_right {f g : α → β} (hf : Integrable f μ) :
Integrable (f + g) μ ↔ Integrable g μ :=
⟨fun h ↦ show g = f + g + (-f) by simp only [add_neg_cancel_comm] ▸ h.add hf.neg,
fun h ↦ hf.add h⟩
@[simp]
lemma integrable_add_iff_integrable_left {f g : α → β} (hf : Integrable f μ) :
Integrable (g + f) μ ↔ Integrable g μ := by
rw [add_comm, integrable_add_iff_integrable_right hf]
lemma integrable_left_of_integrable_add_of_nonneg {f g : α → ℝ}
(h_meas : AEStronglyMeasurable f μ) (hf : 0 ≤ᵐ[μ] f) (hg : 0 ≤ᵐ[μ] g)
(h_int : Integrable (f + g) μ) : Integrable f μ := by
refine h_int.mono' h_meas ?_
filter_upwards [hf, hg] with a haf hag
exact (Real.norm_of_nonneg haf).symm ▸ (le_add_iff_nonneg_right _).mpr hag
lemma integrable_right_of_integrable_add_of_nonneg {f g : α → ℝ}
(h_meas : AEStronglyMeasurable f μ) (hf : 0 ≤ᵐ[μ] f) (hg : 0 ≤ᵐ[μ] g)
(h_int : Integrable (f + g) μ) : Integrable g μ :=
integrable_left_of_integrable_add_of_nonneg
((AEStronglyMeasurable.add_iff_right h_meas).mp h_int.aestronglyMeasurable)
hg hf (add_comm f g ▸ h_int)
lemma integrable_add_iff_of_nonneg {f g : α → ℝ} (h_meas : AEStronglyMeasurable f μ)
(hf : 0 ≤ᵐ[μ] f) (hg : 0 ≤ᵐ[μ] g) :
Integrable (f + g) μ ↔ Integrable f μ ∧ Integrable g μ :=
⟨fun h ↦ ⟨integrable_left_of_integrable_add_of_nonneg h_meas hf hg h,
integrable_right_of_integrable_add_of_nonneg h_meas hf hg h⟩, fun ⟨hf, hg⟩ ↦ hf.add hg⟩
lemma integrable_add_iff_of_nonpos {f g : α → ℝ} (h_meas : AEStronglyMeasurable f μ)
(hf : f ≤ᵐ[μ] 0) (hg : g ≤ᵐ[μ] 0) :
Integrable (f + g) μ ↔ Integrable f μ ∧ Integrable g μ := by
rw [← integrable_neg_iff, ← integrable_neg_iff (f := f), ← integrable_neg_iff (f := g), neg_add]
exact integrable_add_iff_of_nonneg h_meas.neg (hf.mono (fun _ ↦ neg_nonneg_of_nonpos))
(hg.mono (fun _ ↦ neg_nonneg_of_nonpos))
@[simp]
lemma integrable_add_const_iff [IsFiniteMeasure μ] {f : α → β} {c : β} :
Integrable (fun x ↦ f x + c) μ ↔ Integrable f μ :=
integrable_add_iff_integrable_left (integrable_const _)
@[simp]
lemma integrable_const_add_iff [IsFiniteMeasure μ] {f : α → β} {c : β} :
Integrable (fun x ↦ c + f x) μ ↔ Integrable f μ :=
integrable_add_iff_integrable_right (integrable_const _)
theorem Integrable.sub {f g : α → β} (hf : Integrable f μ) (hg : Integrable g μ) :
Integrable (f - g) μ := by simpa only [sub_eq_add_neg] using hf.add hg.neg
#align measure_theory.integrable.sub MeasureTheory.Integrable.sub
theorem Integrable.norm {f : α → β} (hf : Integrable f μ) : Integrable (fun a => ‖f a‖) μ :=
⟨hf.aestronglyMeasurable.norm, hf.hasFiniteIntegral.norm⟩
#align measure_theory.integrable.norm MeasureTheory.Integrable.norm
theorem Integrable.inf {β} [NormedLatticeAddCommGroup β] {f g : α → β} (hf : Integrable f μ)
(hg : Integrable g μ) : Integrable (f ⊓ g) μ := by
rw [← memℒp_one_iff_integrable] at hf hg ⊢
exact hf.inf hg
#align measure_theory.integrable.inf MeasureTheory.Integrable.inf
| Mathlib/MeasureTheory/Function/L1Space.lean | 761 | 764 | theorem Integrable.sup {β} [NormedLatticeAddCommGroup β] {f g : α → β} (hf : Integrable f μ)
(hg : Integrable g μ) : Integrable (f ⊔ g) μ := by |
rw [← memℒp_one_iff_integrable] at hf hg ⊢
exact hf.sup hg
|
import Mathlib.SetTheory.Cardinal.ENat
#align_import set_theory.cardinal.basic from "leanprover-community/mathlib"@"3ff3f2d6a3118b8711063de7111a0d77a53219a8"
universe u v
open Function Set
namespace Cardinal
variable {α : Type u} {c d : Cardinal.{u}}
noncomputable def toNat : Cardinal →*₀ ℕ :=
ENat.toNat.comp toENat
#align cardinal.to_nat Cardinal.toNat
#align cardinal.to_nat_hom Cardinal.toNat
@[simp] lemma toNat_toENat (a : Cardinal) : ENat.toNat (toENat a) = toNat a := rfl
@[simp]
theorem toNat_ofENat (n : ℕ∞) : toNat n = ENat.toNat n :=
congr_arg ENat.toNat <| toENat_ofENat n
@[simp, norm_cast] theorem toNat_natCast (n : ℕ) : toNat n = n := toNat_ofENat n
@[simp]
lemma toNat_eq_zero : toNat c = 0 ↔ c = 0 ∨ ℵ₀ ≤ c := by
rw [← toNat_toENat, ENat.toNat_eq_zero, toENat_eq_zero, toENat_eq_top]
lemma toNat_ne_zero : toNat c ≠ 0 ↔ c ≠ 0 ∧ c < ℵ₀ := by simp [not_or]
@[simp] lemma toNat_pos : 0 < toNat c ↔ c ≠ 0 ∧ c < ℵ₀ := pos_iff_ne_zero.trans toNat_ne_zero
theorem cast_toNat_of_lt_aleph0 {c : Cardinal} (h : c < ℵ₀) : ↑(toNat c) = c := by
lift c to ℕ using h
rw [toNat_natCast]
#align cardinal.cast_to_nat_of_lt_aleph_0 Cardinal.cast_toNat_of_lt_aleph0
theorem toNat_apply_of_lt_aleph0 {c : Cardinal} (h : c < ℵ₀) :
toNat c = Classical.choose (lt_aleph0.1 h) :=
Nat.cast_injective <| by rw [cast_toNat_of_lt_aleph0 h, ← Classical.choose_spec (lt_aleph0.1 h)]
#align cardinal.to_nat_apply_of_lt_aleph_0 Cardinal.toNat_apply_of_lt_aleph0
theorem toNat_apply_of_aleph0_le {c : Cardinal} (h : ℵ₀ ≤ c) : toNat c = 0 := by simp [h]
#align cardinal.to_nat_apply_of_aleph_0_le Cardinal.toNat_apply_of_aleph0_le
theorem cast_toNat_of_aleph0_le {c : Cardinal} (h : ℵ₀ ≤ c) : ↑(toNat c) = (0 : Cardinal) := by
rw [toNat_apply_of_aleph0_le h, Nat.cast_zero]
#align cardinal.cast_to_nat_of_aleph_0_le Cardinal.cast_toNat_of_aleph0_le
theorem toNat_strictMonoOn : StrictMonoOn toNat (Iio ℵ₀) := by
simp only [← range_natCast, StrictMonoOn, forall_mem_range, toNat_natCast, Nat.cast_lt]
exact fun _ _ ↦ id
theorem toNat_monotoneOn : MonotoneOn toNat (Iio ℵ₀) := toNat_strictMonoOn.monotoneOn
theorem toNat_injOn : InjOn toNat (Iio ℵ₀) := toNat_strictMonoOn.injOn
theorem toNat_eq_iff_eq_of_lt_aleph0 (hc : c < ℵ₀) (hd : d < ℵ₀) :
toNat c = toNat d ↔ c = d :=
toNat_injOn.eq_iff hc hd
#align cardinal.to_nat_eq_iff_eq_of_lt_aleph_0 Cardinal.toNat_eq_iff_eq_of_lt_aleph0
theorem toNat_le_iff_le_of_lt_aleph0 (hc : c < ℵ₀) (hd : d < ℵ₀) :
toNat c ≤ toNat d ↔ c ≤ d :=
toNat_strictMonoOn.le_iff_le hc hd
#align cardinal.to_nat_le_iff_le_of_lt_aleph_0 Cardinal.toNat_le_iff_le_of_lt_aleph0
theorem toNat_lt_iff_lt_of_lt_aleph0 (hc : c < ℵ₀) (hd : d < ℵ₀) :
toNat c < toNat d ↔ c < d :=
toNat_strictMonoOn.lt_iff_lt hc hd
#align cardinal.to_nat_lt_iff_lt_of_lt_aleph_0 Cardinal.toNat_lt_iff_lt_of_lt_aleph0
@[gcongr]
theorem toNat_le_toNat (hcd : c ≤ d) (hd : d < ℵ₀) : toNat c ≤ toNat d :=
toNat_monotoneOn (hcd.trans_lt hd) hd hcd
#align cardinal.to_nat_le_of_le_of_lt_aleph_0 Cardinal.toNat_le_toNat
@[deprecated toNat_le_toNat (since := "2024-02-15")]
theorem toNat_le_of_le_of_lt_aleph0 (hd : d < ℵ₀) (hcd : c ≤ d) :
toNat c ≤ toNat d :=
toNat_le_toNat hcd hd
theorem toNat_lt_toNat (hcd : c < d) (hd : d < ℵ₀) : toNat c < toNat d :=
toNat_strictMonoOn (hcd.trans hd) hd hcd
#align cardinal.to_nat_lt_of_lt_of_lt_aleph_0 Cardinal.toNat_lt_toNat
@[deprecated toNat_lt_toNat (since := "2024-02-15")]
theorem toNat_lt_of_lt_of_lt_aleph0 (hd : d < ℵ₀) (hcd : c < d) : toNat c < toNat d :=
toNat_lt_toNat hcd hd
@[deprecated (since := "2024-02-15")] alias toNat_cast := toNat_natCast
#align cardinal.to_nat_cast Cardinal.toNat_natCast
-- See note [no_index around OfNat.ofNat]
@[simp]
theorem toNat_ofNat (n : ℕ) [n.AtLeastTwo] :
Cardinal.toNat (no_index (OfNat.ofNat n)) = OfNat.ofNat n :=
toNat_natCast n
theorem toNat_rightInverse : Function.RightInverse ((↑) : ℕ → Cardinal) toNat :=
toNat_natCast
#align cardinal.to_nat_right_inverse Cardinal.toNat_rightInverse
theorem toNat_surjective : Surjective toNat :=
toNat_rightInverse.surjective
#align cardinal.to_nat_surjective Cardinal.toNat_surjective
@[simp]
| Mathlib/SetTheory/Cardinal/ToNat.lean | 126 | 126 | theorem mk_toNat_of_infinite [h : Infinite α] : toNat #α = 0 := by | simp
|
import Mathlib.Algebra.BigOperators.Group.Multiset
import Mathlib.Data.Multiset.Dedup
#align_import data.multiset.bind from "leanprover-community/mathlib"@"f694c7dead66f5d4c80f446c796a5aad14707f0e"
assert_not_exists MonoidWithZero
assert_not_exists MulAction
universe v
variable {α : Type*} {β : Type v} {γ δ : Type*}
namespace Multiset
def join : Multiset (Multiset α) → Multiset α :=
sum
#align multiset.join Multiset.join
theorem coe_join :
∀ L : List (List α), join (L.map ((↑) : List α → Multiset α) : Multiset (Multiset α)) = L.join
| [] => rfl
| l :: L => by
exact congr_arg (fun s : Multiset α => ↑l + s) (coe_join L)
#align multiset.coe_join Multiset.coe_join
@[simp]
theorem join_zero : @join α 0 = 0 :=
rfl
#align multiset.join_zero Multiset.join_zero
@[simp]
theorem join_cons (s S) : @join α (s ::ₘ S) = s + join S :=
sum_cons _ _
#align multiset.join_cons Multiset.join_cons
@[simp]
theorem join_add (S T) : @join α (S + T) = join S + join T :=
sum_add _ _
#align multiset.join_add Multiset.join_add
@[simp]
theorem singleton_join (a) : join ({a} : Multiset (Multiset α)) = a :=
sum_singleton _
#align multiset.singleton_join Multiset.singleton_join
@[simp]
theorem mem_join {a S} : a ∈ @join α S ↔ ∃ s ∈ S, a ∈ s :=
Multiset.induction_on S (by simp) <| by
simp (config := { contextual := true }) [or_and_right, exists_or]
#align multiset.mem_join Multiset.mem_join
@[simp]
theorem card_join (S) : card (@join α S) = sum (map card S) :=
Multiset.induction_on S (by simp) (by simp)
#align multiset.card_join Multiset.card_join
@[simp]
theorem map_join (f : α → β) (S : Multiset (Multiset α)) :
map f (join S) = join (map (map f) S) := by
induction S using Multiset.induction with
| empty => simp
| cons _ _ ih => simp [ih]
@[to_additive (attr := simp)]
theorem prod_join [CommMonoid α] {S : Multiset (Multiset α)} :
prod (join S) = prod (map prod S) := by
induction S using Multiset.induction with
| empty => simp
| cons _ _ ih => simp [ih]
| Mathlib/Data/Multiset/Bind.lean | 95 | 98 | theorem rel_join {r : α → β → Prop} {s t} (h : Rel (Rel r) s t) : Rel r s.join t.join := by |
induction h with
| zero => simp
| cons hab hst ih => simpa using hab.add ih
|
import Mathlib.Init.Data.Sigma.Lex
import Mathlib.Data.Prod.Lex
import Mathlib.Data.Sigma.Lex
import Mathlib.Order.Antichain
import Mathlib.Order.OrderIsoNat
import Mathlib.Order.WellFounded
import Mathlib.Tactic.TFAE
#align_import order.well_founded_set from "leanprover-community/mathlib"@"2c84c2c5496117349007d97104e7bbb471381592"
variable {ι α β γ : Type*} {π : ι → Type*}
namespace Set
def WellFoundedOn (s : Set α) (r : α → α → Prop) : Prop :=
WellFounded fun a b : s => r a b
#align set.well_founded_on Set.WellFoundedOn
@[simp]
theorem wellFoundedOn_empty (r : α → α → Prop) : WellFoundedOn ∅ r :=
wellFounded_of_isEmpty _
#align set.well_founded_on_empty Set.wellFoundedOn_empty
section WellFoundedOn
variable {r r' : α → α → Prop}
section AnyRel
variable {f : β → α} {s t : Set α} {x y : α}
theorem wellFoundedOn_iff :
s.WellFoundedOn r ↔ WellFounded fun a b : α => r a b ∧ a ∈ s ∧ b ∈ s := by
have f : RelEmbedding (fun (a : s) (b : s) => r a b) fun a b : α => r a b ∧ a ∈ s ∧ b ∈ s :=
⟨⟨(↑), Subtype.coe_injective⟩, by simp⟩
refine ⟨fun h => ?_, f.wellFounded⟩
rw [WellFounded.wellFounded_iff_has_min]
intro t ht
by_cases hst : (s ∩ t).Nonempty
· rw [← Subtype.preimage_coe_nonempty] at hst
rcases h.has_min (Subtype.val ⁻¹' t) hst with ⟨⟨m, ms⟩, mt, hm⟩
exact ⟨m, mt, fun x xt ⟨xm, xs, _⟩ => hm ⟨x, xs⟩ xt xm⟩
· rcases ht with ⟨m, mt⟩
exact ⟨m, mt, fun x _ ⟨_, _, ms⟩ => hst ⟨m, ⟨ms, mt⟩⟩⟩
#align set.well_founded_on_iff Set.wellFoundedOn_iff
@[simp]
theorem wellFoundedOn_univ : (univ : Set α).WellFoundedOn r ↔ WellFounded r := by
simp [wellFoundedOn_iff]
#align set.well_founded_on_univ Set.wellFoundedOn_univ
theorem _root_.WellFounded.wellFoundedOn : WellFounded r → s.WellFoundedOn r :=
InvImage.wf _
#align well_founded.well_founded_on WellFounded.wellFoundedOn
@[simp]
theorem wellFoundedOn_range : (range f).WellFoundedOn r ↔ WellFounded (r on f) := by
let f' : β → range f := fun c => ⟨f c, c, rfl⟩
refine ⟨fun h => (InvImage.wf f' h).mono fun c c' => id, fun h => ⟨?_⟩⟩
rintro ⟨_, c, rfl⟩
refine Acc.of_downward_closed f' ?_ _ ?_
· rintro _ ⟨_, c', rfl⟩ -
exact ⟨c', rfl⟩
· exact h.apply _
#align set.well_founded_on_range Set.wellFoundedOn_range
@[simp]
| Mathlib/Order/WellFoundedSet.lean | 112 | 113 | theorem wellFoundedOn_image {s : Set β} : (f '' s).WellFoundedOn r ↔ s.WellFoundedOn (r on f) := by |
rw [image_eq_range]; exact wellFoundedOn_range
|
import Mathlib.Algebra.Order.Archimedean
import Mathlib.Order.Filter.AtTopBot
import Mathlib.Tactic.GCongr
#align_import order.filter.archimedean from "leanprover-community/mathlib"@"8631e2d5ea77f6c13054d9151d82b83069680cb1"
variable {α R : Type*}
open Filter Set Function
@[simp]
theorem Nat.comap_cast_atTop [StrictOrderedSemiring R] [Archimedean R] :
comap ((↑) : ℕ → R) atTop = atTop :=
comap_embedding_atTop (fun _ _ => Nat.cast_le) exists_nat_ge
#align nat.comap_coe_at_top Nat.comap_cast_atTop
theorem tendsto_natCast_atTop_iff [StrictOrderedSemiring R] [Archimedean R] {f : α → ℕ}
{l : Filter α} : Tendsto (fun n => (f n : R)) l atTop ↔ Tendsto f l atTop :=
tendsto_atTop_embedding (fun _ _ => Nat.cast_le) exists_nat_ge
#align tendsto_coe_nat_at_top_iff tendsto_natCast_atTop_iff
@[deprecated (since := "2024-04-17")]
alias tendsto_nat_cast_atTop_iff := tendsto_natCast_atTop_iff
theorem tendsto_natCast_atTop_atTop [OrderedSemiring R] [Archimedean R] :
Tendsto ((↑) : ℕ → R) atTop atTop :=
Nat.mono_cast.tendsto_atTop_atTop exists_nat_ge
#align tendsto_coe_nat_at_top_at_top tendsto_natCast_atTop_atTop
@[deprecated (since := "2024-04-17")]
alias tendsto_nat_cast_atTop_atTop := tendsto_natCast_atTop_atTop
theorem Filter.Eventually.natCast_atTop [OrderedSemiring R] [Archimedean R] {p : R → Prop}
(h : ∀ᶠ (x:R) in atTop, p x) : ∀ᶠ (n:ℕ) in atTop, p n :=
tendsto_natCast_atTop_atTop.eventually h
@[deprecated (since := "2024-04-17")]
alias Filter.Eventually.nat_cast_atTop := Filter.Eventually.natCast_atTop
@[simp] theorem Int.comap_cast_atTop [StrictOrderedRing R] [Archimedean R] :
comap ((↑) : ℤ → R) atTop = atTop :=
comap_embedding_atTop (fun _ _ => Int.cast_le) fun r =>
let ⟨n, hn⟩ := exists_nat_ge r; ⟨n, mod_cast hn⟩
#align int.comap_coe_at_top Int.comap_cast_atTop
@[simp]
theorem Int.comap_cast_atBot [StrictOrderedRing R] [Archimedean R] :
comap ((↑) : ℤ → R) atBot = atBot :=
comap_embedding_atBot (fun _ _ => Int.cast_le) fun r =>
let ⟨n, hn⟩ := exists_nat_ge (-r)
⟨-n, by simpa [neg_le] using hn⟩
#align int.comap_coe_at_bot Int.comap_cast_atBot
theorem tendsto_intCast_atTop_iff [StrictOrderedRing R] [Archimedean R] {f : α → ℤ}
{l : Filter α} : Tendsto (fun n => (f n : R)) l atTop ↔ Tendsto f l atTop := by
rw [← @Int.comap_cast_atTop R, tendsto_comap_iff]; rfl
#align tendsto_coe_int_at_top_iff tendsto_intCast_atTop_iff
@[deprecated (since := "2024-04-17")]
alias tendsto_int_cast_atTop_iff := tendsto_intCast_atTop_iff
theorem tendsto_intCast_atBot_iff [StrictOrderedRing R] [Archimedean R] {f : α → ℤ}
{l : Filter α} : Tendsto (fun n => (f n : R)) l atBot ↔ Tendsto f l atBot := by
rw [← @Int.comap_cast_atBot R, tendsto_comap_iff]; rfl
#align tendsto_coe_int_at_bot_iff tendsto_intCast_atBot_iff
@[deprecated (since := "2024-04-17")]
alias tendsto_int_cast_atBot_iff := tendsto_intCast_atBot_iff
theorem tendsto_intCast_atTop_atTop [StrictOrderedRing R] [Archimedean R] :
Tendsto ((↑) : ℤ → R) atTop atTop :=
tendsto_intCast_atTop_iff.2 tendsto_id
#align tendsto_coe_int_at_top_at_top tendsto_intCast_atTop_atTop
@[deprecated (since := "2024-04-17")]
alias tendsto_int_cast_atTop_atTop := tendsto_intCast_atTop_atTop
theorem Filter.Eventually.intCast_atTop [StrictOrderedRing R] [Archimedean R] {p : R → Prop}
(h : ∀ᶠ (x:R) in atTop, p x) : ∀ᶠ (n:ℤ) in atTop, p n := by
rw [← Int.comap_cast_atTop (R := R)]; exact h.comap _
@[deprecated (since := "2024-04-17")]
alias Filter.Eventually.int_cast_atTop := Filter.Eventually.intCast_atTop
theorem Filter.Eventually.intCast_atBot [StrictOrderedRing R] [Archimedean R] {p : R → Prop}
(h : ∀ᶠ (x:R) in atBot, p x) : ∀ᶠ (n:ℤ) in atBot, p n := by
rw [← Int.comap_cast_atBot (R := R)]; exact h.comap _
@[deprecated (since := "2024-04-17")]
alias Filter.Eventually.int_cast_atBot := Filter.Eventually.intCast_atBot
@[simp]
theorem Rat.comap_cast_atTop [LinearOrderedField R] [Archimedean R] :
comap ((↑) : ℚ → R) atTop = atTop :=
comap_embedding_atTop (fun _ _ => Rat.cast_le) fun r =>
let ⟨n, hn⟩ := exists_nat_ge r; ⟨n, by simpa⟩
#align rat.comap_coe_at_top Rat.comap_cast_atTop
@[simp] theorem Rat.comap_cast_atBot [LinearOrderedField R] [Archimedean R] :
comap ((↑) : ℚ → R) atBot = atBot :=
comap_embedding_atBot (fun _ _ => Rat.cast_le) fun r =>
let ⟨n, hn⟩ := exists_nat_ge (-r)
⟨-n, by simpa [neg_le]⟩
#align rat.comap_coe_at_bot Rat.comap_cast_atBot
theorem tendsto_ratCast_atTop_iff [LinearOrderedField R] [Archimedean R] {f : α → ℚ}
{l : Filter α} : Tendsto (fun n => (f n : R)) l atTop ↔ Tendsto f l atTop := by
rw [← @Rat.comap_cast_atTop R, tendsto_comap_iff]; rfl
#align tendsto_coe_rat_at_top_iff tendsto_ratCast_atTop_iff
@[deprecated (since := "2024-04-17")]
alias tendsto_rat_cast_atTop_iff := tendsto_ratCast_atTop_iff
theorem tendsto_ratCast_atBot_iff [LinearOrderedField R] [Archimedean R] {f : α → ℚ}
{l : Filter α} : Tendsto (fun n => (f n : R)) l atBot ↔ Tendsto f l atBot := by
rw [← @Rat.comap_cast_atBot R, tendsto_comap_iff]; rfl
#align tendsto_coe_rat_at_bot_iff tendsto_ratCast_atBot_iff
@[deprecated (since := "2024-04-17")]
alias tendsto_rat_cast_atBot_iff := tendsto_ratCast_atBot_iff
theorem Filter.Eventually.ratCast_atTop [LinearOrderedField R] [Archimedean R] {p : R → Prop}
(h : ∀ᶠ (x:R) in atTop, p x) : ∀ᶠ (n:ℚ) in atTop, p n := by
rw [← Rat.comap_cast_atTop (R := R)]; exact h.comap _
@[deprecated (since := "2024-04-17")]
alias Filter.Eventually.rat_cast_atTop := Filter.Eventually.ratCast_atTop
theorem Filter.Eventually.ratCast_atBot [LinearOrderedField R] [Archimedean R] {p : R → Prop}
(h : ∀ᶠ (x:R) in atBot, p x) : ∀ᶠ (n:ℚ) in atBot, p n := by
rw [← Rat.comap_cast_atBot (R := R)]; exact h.comap _
@[deprecated (since := "2024-04-17")]
alias Filter.Eventually.rat_cast_atBot := Filter.Eventually.ratCast_atBot
-- Porting note (#10756): new lemma
theorem atTop_hasAntitoneBasis_of_archimedean [OrderedSemiring R] [Archimedean R] :
(atTop : Filter R).HasAntitoneBasis fun n : ℕ => Ici n :=
hasAntitoneBasis_atTop.comp_mono Nat.mono_cast tendsto_natCast_atTop_atTop
theorem atTop_hasCountableBasis_of_archimedean [StrictOrderedSemiring R] [Archimedean R] :
(atTop : Filter R).HasCountableBasis (fun _ : ℕ => True) fun n => Ici n :=
⟨atTop_hasAntitoneBasis_of_archimedean.1, to_countable _⟩
#align at_top_countable_basis_of_archimedean atTop_hasCountableBasis_of_archimedean
-- Porting note (#11215): TODO: generalize to a `StrictOrderedRing`
theorem atBot_hasCountableBasis_of_archimedean [LinearOrderedRing R] [Archimedean R] :
(atBot : Filter R).HasCountableBasis (fun _ : ℤ => True) fun m => Iic m :=
{ countable := to_countable _
toHasBasis :=
atBot_basis.to_hasBasis
(fun x _ => let ⟨m, hm⟩ := exists_int_lt x; ⟨m, trivial, Iic_subset_Iic.2 hm.le⟩)
fun m _ => ⟨m, trivial, Subset.rfl⟩ }
#align at_bot_countable_basis_of_archimedean atBot_hasCountableBasis_of_archimedean
instance (priority := 100) atTop_isCountablyGenerated_of_archimedean [StrictOrderedSemiring R]
[Archimedean R] : (atTop : Filter R).IsCountablyGenerated :=
atTop_hasCountableBasis_of_archimedean.isCountablyGenerated
#align at_top_countably_generated_of_archimedean atTop_isCountablyGenerated_of_archimedean
instance (priority := 100) atBot_isCountablyGenerated_of_archimedean [LinearOrderedRing R]
[Archimedean R] : (atBot : Filter R).IsCountablyGenerated :=
atBot_hasCountableBasis_of_archimedean.isCountablyGenerated
#align at_bot_countably_generated_of_archimedean atBot_isCountablyGenerated_of_archimedean
namespace Filter
variable {l : Filter α} {f : α → R} {r : R}
section LinearOrderedSemiring
variable [LinearOrderedSemiring R] [Archimedean R]
theorem Tendsto.const_mul_atTop' (hr : 0 < r) (hf : Tendsto f l atTop) :
Tendsto (fun x => r * f x) l atTop := by
refine tendsto_atTop.2 fun b => ?_
obtain ⟨n : ℕ, hn : 1 ≤ n • r⟩ := Archimedean.arch 1 hr
rw [nsmul_eq_mul'] at hn
filter_upwards [tendsto_atTop.1 hf (n * max b 0)] with x hx
calc
b ≤ 1 * max b 0 := by
{ rw [one_mul]
exact le_max_left _ _ }
_ ≤ r * n * max b 0 := by gcongr
_ = r * (n * max b 0) := by rw [mul_assoc]
_ ≤ r * f x := by gcongr
#align filter.tendsto.const_mul_at_top' Filter.Tendsto.const_mul_atTop'
| Mathlib/Order/Filter/Archimedean.lean | 212 | 224 | theorem Tendsto.atTop_mul_const' (hr : 0 < r) (hf : Tendsto f l atTop) :
Tendsto (fun x => f x * r) l atTop := by |
refine tendsto_atTop.2 fun b => ?_
obtain ⟨n : ℕ, hn : 1 ≤ n • r⟩ := Archimedean.arch 1 hr
have hn' : 1 ≤ (n : R) * r := by rwa [nsmul_eq_mul] at hn
filter_upwards [tendsto_atTop.1 hf (max b 0 * n)] with x hx
calc
b ≤ max b 0 * 1 := by
{ rw [mul_one]
exact le_max_left _ _ }
_ ≤ max b 0 * (n * r) := by gcongr
_ = max b 0 * n * r := by rw [mul_assoc]
_ ≤ f x * r := by gcongr
|
import Mathlib.Data.List.Basic
open Function
open Nat hiding one_pos
assert_not_exists Set.range
namespace List
universe u v w
variable {ι : Type*} {α : Type u} {β : Type v} {γ : Type w} {l₁ l₂ : List α}
section InsertNth
variable {a : α}
@[simp]
theorem insertNth_zero (s : List α) (x : α) : insertNth 0 x s = x :: s :=
rfl
#align list.insert_nth_zero List.insertNth_zero
@[simp]
theorem insertNth_succ_nil (n : ℕ) (a : α) : insertNth (n + 1) a [] = [] :=
rfl
#align list.insert_nth_succ_nil List.insertNth_succ_nil
@[simp]
theorem insertNth_succ_cons (s : List α) (hd x : α) (n : ℕ) :
insertNth (n + 1) x (hd :: s) = hd :: insertNth n x s :=
rfl
#align list.insert_nth_succ_cons List.insertNth_succ_cons
theorem length_insertNth : ∀ n as, n ≤ length as → length (insertNth n a as) = length as + 1
| 0, _, _ => rfl
| _ + 1, [], h => (Nat.not_succ_le_zero _ h).elim
| n + 1, _ :: as, h => congr_arg Nat.succ <| length_insertNth n as (Nat.le_of_succ_le_succ h)
#align list.length_insert_nth List.length_insertNth
theorem eraseIdx_insertNth (n : ℕ) (l : List α) : (l.insertNth n a).eraseIdx n = l := by
rw [eraseIdx_eq_modifyNthTail, insertNth, modifyNthTail_modifyNthTail_same]
exact modifyNthTail_id _ _
#align list.remove_nth_insert_nth List.eraseIdx_insertNth
@[deprecated (since := "2024-05-04")] alias removeNth_insertNth := eraseIdx_insertNth
theorem insertNth_eraseIdx_of_ge :
∀ n m as,
n < length as → n ≤ m → insertNth m a (as.eraseIdx n) = (as.insertNth (m + 1) a).eraseIdx n
| 0, 0, [], has, _ => (lt_irrefl _ has).elim
| 0, 0, _ :: as, _, _ => by simp [eraseIdx, insertNth]
| 0, m + 1, a :: as, _, _ => rfl
| n + 1, m + 1, a :: as, has, hmn =>
congr_arg (cons a) <|
insertNth_eraseIdx_of_ge n m as (Nat.lt_of_succ_lt_succ has) (Nat.le_of_succ_le_succ hmn)
#align list.insert_nth_remove_nth_of_ge List.insertNth_eraseIdx_of_ge
@[deprecated (since := "2024-05-04")] alias insertNth_removeNth_of_ge := insertNth_eraseIdx_of_ge
theorem insertNth_eraseIdx_of_le :
∀ n m as,
n < length as → m ≤ n → insertNth m a (as.eraseIdx n) = (as.insertNth m a).eraseIdx (n + 1)
| _, 0, _ :: _, _, _ => rfl
| n + 1, m + 1, a :: as, has, hmn =>
congr_arg (cons a) <|
insertNth_eraseIdx_of_le n m as (Nat.lt_of_succ_lt_succ has) (Nat.le_of_succ_le_succ hmn)
#align list.insert_nth_remove_nth_of_le List.insertNth_eraseIdx_of_le
@[deprecated (since := "2024-05-04")] alias insertNth_removeNth_of_le := insertNth_eraseIdx_of_le
theorem insertNth_comm (a b : α) :
∀ (i j : ℕ) (l : List α) (_ : i ≤ j) (_ : j ≤ length l),
(l.insertNth i a).insertNth (j + 1) b = (l.insertNth j b).insertNth i a
| 0, j, l => by simp [insertNth]
| i + 1, 0, l => fun h => (Nat.not_lt_zero _ h).elim
| i + 1, j + 1, [] => by simp
| i + 1, j + 1, c :: l => fun h₀ h₁ => by
simp only [insertNth_succ_cons, cons.injEq, true_and]
exact insertNth_comm a b i j l (Nat.le_of_succ_le_succ h₀) (Nat.le_of_succ_le_succ h₁)
#align list.insert_nth_comm List.insertNth_comm
theorem mem_insertNth {a b : α} :
∀ {n : ℕ} {l : List α} (_ : n ≤ l.length), a ∈ l.insertNth n b ↔ a = b ∨ a ∈ l
| 0, as, _ => by simp
| n + 1, [], h => (Nat.not_succ_le_zero _ h).elim
| n + 1, a' :: as, h => by
rw [List.insertNth_succ_cons, mem_cons, mem_insertNth (Nat.le_of_succ_le_succ h),
← or_assoc, @or_comm (a = a'), or_assoc, mem_cons]
#align list.mem_insert_nth List.mem_insertNth
theorem insertNth_of_length_lt (l : List α) (x : α) (n : ℕ) (h : l.length < n) :
insertNth n x l = l := by
induction' l with hd tl IH generalizing n
· cases n
· simp at h
· simp
· cases n
· simp at h
· simp only [Nat.succ_lt_succ_iff, length] at h
simpa using IH _ h
#align list.insert_nth_of_length_lt List.insertNth_of_length_lt
@[simp]
theorem insertNth_length_self (l : List α) (x : α) : insertNth l.length x l = l ++ [x] := by
induction' l with hd tl IH
· simp
· simpa using IH
#align list.insert_nth_length_self List.insertNth_length_self
theorem length_le_length_insertNth (l : List α) (x : α) (n : ℕ) :
l.length ≤ (insertNth n x l).length := by
rcases le_or_lt n l.length with hn | hn
· rw [length_insertNth _ _ hn]
exact (Nat.lt_succ_self _).le
· rw [insertNth_of_length_lt _ _ _ hn]
#align list.length_le_length_insert_nth List.length_le_length_insertNth
theorem length_insertNth_le_succ (l : List α) (x : α) (n : ℕ) :
(insertNth n x l).length ≤ l.length + 1 := by
rcases le_or_lt n l.length with hn | hn
· rw [length_insertNth _ _ hn]
· rw [insertNth_of_length_lt _ _ _ hn]
exact (Nat.lt_succ_self _).le
#align list.length_insert_nth_le_succ List.length_insertNth_le_succ
theorem get_insertNth_of_lt (l : List α) (x : α) (n k : ℕ) (hn : k < n) (hk : k < l.length)
(hk' : k < (insertNth n x l).length := hk.trans_le (length_le_length_insertNth _ _ _)) :
(insertNth n x l).get ⟨k, hk'⟩ = l.get ⟨k, hk⟩ := by
induction' n with n IH generalizing k l
· simp at hn
· cases' l with hd tl
· simp
· cases k
· simp [get]
· rw [Nat.succ_lt_succ_iff] at hn
simpa using IH _ _ hn _
set_option linter.deprecated false in
@[deprecated get_insertNth_of_lt (since := "2023-01-05")]
theorem nthLe_insertNth_of_lt : ∀ (l : List α) (x : α) (n k : ℕ), k < n → ∀ (hk : k < l.length)
(hk' : k < (insertNth n x l).length := hk.trans_le (length_le_length_insertNth _ _ _)),
(insertNth n x l).nthLe k hk' = l.nthLe k hk := @get_insertNth_of_lt _
#align list.nth_le_insert_nth_of_lt List.nthLe_insertNth_of_lt
@[simp]
theorem get_insertNth_self (l : List α) (x : α) (n : ℕ) (hn : n ≤ l.length)
(hn' : n < (insertNth n x l).length := (by rwa [length_insertNth _ _ hn, Nat.lt_succ_iff])) :
(insertNth n x l).get ⟨n, hn'⟩ = x := by
induction' l with hd tl IH generalizing n
· simp only [length] at hn
cases hn
simp only [insertNth_zero, get_singleton]
· cases n
· simp
· simp only [Nat.succ_le_succ_iff, length] at hn
simpa using IH _ hn
set_option linter.deprecated false in
@[simp, deprecated get_insertNth_self]
theorem nthLe_insertNth_self (l : List α) (x : α) (n : ℕ) (hn : n ≤ l.length)
(hn' : n < (insertNth n x l).length := (by rwa [length_insertNth _ _ hn, Nat.lt_succ_iff])) :
(insertNth n x l).nthLe n hn' = x := get_insertNth_self _ _ _ hn
#align list.nth_le_insert_nth_self List.nthLe_insertNth_self
| Mathlib/Data/List/InsertNth.lean | 177 | 185 | theorem get_insertNth_add_succ (l : List α) (x : α) (n k : ℕ) (hk' : n + k < l.length)
(hk : n + k + 1 < (insertNth n x l).length := (by
rwa [length_insertNth _ _ (by omega), Nat.succ_lt_succ_iff])):
(insertNth n x l).get ⟨n + k + 1, hk⟩ = get l ⟨n + k, hk'⟩ := by |
induction' l with hd tl IH generalizing n k
· simp at hk'
· cases n
· simp
· simpa [Nat.add_right_comm] using IH _ _ _
|
import Mathlib.CategoryTheory.Limits.Shapes.Pullbacks
import Mathlib.CategoryTheory.Limits.Shapes.ZeroMorphisms
import Mathlib.CategoryTheory.Limits.Constructions.BinaryProducts
#align_import category_theory.limits.constructions.zero_objects from "leanprover-community/mathlib"@"52a270e2ea4e342c2587c106f8be904524214a4b"
noncomputable section
open CategoryTheory
variable {C : Type*} [Category C]
namespace CategoryTheory.Limits
variable [HasZeroObject C] [HasZeroMorphisms C]
open ZeroObject
def binaryFanZeroLeft (X : C) : BinaryFan (0 : C) X :=
BinaryFan.mk 0 (𝟙 X)
#align category_theory.limits.binary_fan_zero_left CategoryTheory.Limits.binaryFanZeroLeft
def binaryFanZeroLeftIsLimit (X : C) : IsLimit (binaryFanZeroLeft X) :=
BinaryFan.isLimitMk (fun s => BinaryFan.snd s) (by aesop_cat) (by aesop_cat)
(fun s m _ h₂ => by simpa using h₂)
#align category_theory.limits.binary_fan_zero_left_is_limit CategoryTheory.Limits.binaryFanZeroLeftIsLimit
instance hasBinaryProduct_zero_left (X : C) : HasBinaryProduct (0 : C) X :=
HasLimit.mk ⟨_, binaryFanZeroLeftIsLimit X⟩
#align category_theory.limits.has_binary_product_zero_left CategoryTheory.Limits.hasBinaryProduct_zero_left
def zeroProdIso (X : C) : (0 : C) ⨯ X ≅ X :=
limit.isoLimitCone ⟨_, binaryFanZeroLeftIsLimit X⟩
#align category_theory.limits.zero_prod_iso CategoryTheory.Limits.zeroProdIso
@[simp]
theorem zeroProdIso_hom (X : C) : (zeroProdIso X).hom = prod.snd :=
rfl
#align category_theory.limits.zero_prod_iso_hom CategoryTheory.Limits.zeroProdIso_hom
@[simp]
theorem zeroProdIso_inv_snd (X : C) : (zeroProdIso X).inv ≫ prod.snd = 𝟙 X := by
dsimp [zeroProdIso, binaryFanZeroLeft]
simp
#align category_theory.limits.zero_prod_iso_inv_snd CategoryTheory.Limits.zeroProdIso_inv_snd
def binaryFanZeroRight (X : C) : BinaryFan X (0 : C) :=
BinaryFan.mk (𝟙 X) 0
#align category_theory.limits.binary_fan_zero_right CategoryTheory.Limits.binaryFanZeroRight
def binaryFanZeroRightIsLimit (X : C) : IsLimit (binaryFanZeroRight X) :=
BinaryFan.isLimitMk (fun s => BinaryFan.fst s) (by aesop_cat) (by aesop_cat)
(fun s m h₁ _ => by simpa using h₁)
#align category_theory.limits.binary_fan_zero_right_is_limit CategoryTheory.Limits.binaryFanZeroRightIsLimit
instance hasBinaryProduct_zero_right (X : C) : HasBinaryProduct X (0 : C) :=
HasLimit.mk ⟨_, binaryFanZeroRightIsLimit X⟩
#align category_theory.limits.has_binary_product_zero_right CategoryTheory.Limits.hasBinaryProduct_zero_right
def prodZeroIso (X : C) : X ⨯ (0 : C) ≅ X :=
limit.isoLimitCone ⟨_, binaryFanZeroRightIsLimit X⟩
#align category_theory.limits.prod_zero_iso CategoryTheory.Limits.prodZeroIso
@[simp]
theorem prodZeroIso_hom (X : C) : (prodZeroIso X).hom = prod.fst :=
rfl
#align category_theory.limits.prod_zero_iso_hom CategoryTheory.Limits.prodZeroIso_hom
@[simp]
| Mathlib/CategoryTheory/Limits/Constructions/ZeroObjects.lean | 89 | 91 | theorem prodZeroIso_iso_inv_snd (X : C) : (prodZeroIso X).inv ≫ prod.fst = 𝟙 X := by |
dsimp [prodZeroIso, binaryFanZeroRight]
simp
|
namespace Nat
@[reducible] def Coprime (m n : Nat) : Prop := gcd m n = 1
instance (m n : Nat) : Decidable (Coprime m n) := inferInstanceAs (Decidable (_ = 1))
theorem coprime_iff_gcd_eq_one : Coprime m n ↔ gcd m n = 1 := .rfl
theorem Coprime.gcd_eq_one : Coprime m n → gcd m n = 1 := id
theorem Coprime.symm : Coprime n m → Coprime m n := (gcd_comm m n).trans
theorem coprime_comm : Coprime n m ↔ Coprime m n := ⟨Coprime.symm, Coprime.symm⟩
theorem Coprime.dvd_of_dvd_mul_right (H1 : Coprime k n) (H2 : k ∣ m * n) : k ∣ m := by
let t := dvd_gcd (Nat.dvd_mul_left k m) H2
rwa [gcd_mul_left, H1.gcd_eq_one, Nat.mul_one] at t
theorem Coprime.dvd_of_dvd_mul_left (H1 : Coprime k m) (H2 : k ∣ m * n) : k ∣ n :=
H1.dvd_of_dvd_mul_right (by rwa [Nat.mul_comm])
| .lake/packages/batteries/Batteries/Data/Nat/Gcd.lean | 39 | 44 | theorem Coprime.gcd_mul_left_cancel (m : Nat) (H : Coprime k n) : gcd (k * m) n = gcd m n :=
have H1 : Coprime (gcd (k * m) n) k := by |
rw [Coprime, Nat.gcd_assoc, H.symm.gcd_eq_one, gcd_one_right]
Nat.dvd_antisymm
(dvd_gcd (H1.dvd_of_dvd_mul_left (gcd_dvd_left _ _)) (gcd_dvd_right _ _))
(gcd_dvd_gcd_mul_left _ _ _)
|
import Mathlib.Probability.Kernel.Composition
import Mathlib.MeasureTheory.Integral.SetIntegral
#align_import probability.kernel.integral_comp_prod from "leanprover-community/mathlib"@"c0d694db494dd4f9aa57f2714b6e4c82b4ebc113"
noncomputable section
open scoped Topology ENNReal MeasureTheory ProbabilityTheory
open Set Function Real ENNReal MeasureTheory Filter ProbabilityTheory ProbabilityTheory.kernel
variable {α β γ E : Type*} {mα : MeasurableSpace α} {mβ : MeasurableSpace β}
{mγ : MeasurableSpace γ} [NormedAddCommGroup E] {κ : kernel α β} [IsSFiniteKernel κ]
{η : kernel (α × β) γ} [IsSFiniteKernel η] {a : α}
namespace ProbabilityTheory
theorem hasFiniteIntegral_prod_mk_left (a : α) {s : Set (β × γ)} (h2s : (κ ⊗ₖ η) a s ≠ ∞) :
HasFiniteIntegral (fun b => (η (a, b) (Prod.mk b ⁻¹' s)).toReal) (κ a) := by
let t := toMeasurable ((κ ⊗ₖ η) a) s
simp_rw [HasFiniteIntegral, ennnorm_eq_ofReal toReal_nonneg]
calc
∫⁻ b, ENNReal.ofReal (η (a, b) (Prod.mk b ⁻¹' s)).toReal ∂κ a
_ ≤ ∫⁻ b, η (a, b) (Prod.mk b ⁻¹' t) ∂κ a := by
refine lintegral_mono_ae ?_
filter_upwards [ae_kernel_lt_top a h2s] with b hb
rw [ofReal_toReal hb.ne]
exact measure_mono (preimage_mono (subset_toMeasurable _ _))
_ ≤ (κ ⊗ₖ η) a t := le_compProd_apply _ _ _ _
_ = (κ ⊗ₖ η) a s := measure_toMeasurable s
_ < ⊤ := h2s.lt_top
#align probability_theory.has_finite_integral_prod_mk_left ProbabilityTheory.hasFiniteIntegral_prod_mk_left
theorem integrable_kernel_prod_mk_left (a : α) {s : Set (β × γ)} (hs : MeasurableSet s)
(h2s : (κ ⊗ₖ η) a s ≠ ∞) : Integrable (fun b => (η (a, b) (Prod.mk b ⁻¹' s)).toReal) (κ a) := by
constructor
· exact (measurable_kernel_prod_mk_left' hs a).ennreal_toReal.aestronglyMeasurable
· exact hasFiniteIntegral_prod_mk_left a h2s
#align probability_theory.integrable_kernel_prod_mk_left ProbabilityTheory.integrable_kernel_prod_mk_left
theorem _root_.MeasureTheory.AEStronglyMeasurable.integral_kernel_compProd [NormedSpace ℝ E]
⦃f : β × γ → E⦄ (hf : AEStronglyMeasurable f ((κ ⊗ₖ η) a)) :
AEStronglyMeasurable (fun x => ∫ y, f (x, y) ∂η (a, x)) (κ a) :=
⟨fun x => ∫ y, hf.mk f (x, y) ∂η (a, x), hf.stronglyMeasurable_mk.integral_kernel_prod_right'', by
filter_upwards [ae_ae_of_ae_compProd hf.ae_eq_mk] with _ hx using integral_congr_ae hx⟩
#align measure_theory.ae_strongly_measurable.integral_kernel_comp_prod MeasureTheory.AEStronglyMeasurable.integral_kernel_compProd
| Mathlib/Probability/Kernel/IntegralCompProd.lean | 78 | 82 | theorem _root_.MeasureTheory.AEStronglyMeasurable.compProd_mk_left {δ : Type*} [TopologicalSpace δ]
{f : β × γ → δ} (hf : AEStronglyMeasurable f ((κ ⊗ₖ η) a)) :
∀ᵐ x ∂κ a, AEStronglyMeasurable (fun y => f (x, y)) (η (a, x)) := by |
filter_upwards [ae_ae_of_ae_compProd hf.ae_eq_mk] with x hx using
⟨fun y => hf.mk f (x, y), hf.stronglyMeasurable_mk.comp_measurable measurable_prod_mk_left, hx⟩
|
import Batteries.Data.List.Count
import Batteries.Data.Fin.Lemmas
open Nat Function
namespace List
theorem rel_of_pairwise_cons (p : (a :: l).Pairwise R) : ∀ {a'}, a' ∈ l → R a a' :=
(pairwise_cons.1 p).1 _
theorem Pairwise.of_cons (p : (a :: l).Pairwise R) : Pairwise R l :=
(pairwise_cons.1 p).2
theorem Pairwise.tail : ∀ {l : List α} (_p : Pairwise R l), Pairwise R l.tail
| [], h => h
| _ :: _, h => h.of_cons
theorem Pairwise.drop : ∀ {l : List α} {n : Nat}, List.Pairwise R l → List.Pairwise R (l.drop n)
| _, 0, h => h
| [], _ + 1, _ => List.Pairwise.nil
| _ :: _, n + 1, h => Pairwise.drop (n := n) (pairwise_cons.mp h).right
theorem Pairwise.imp_of_mem {S : α → α → Prop}
(H : ∀ {a b}, a ∈ l → b ∈ l → R a b → S a b) (p : Pairwise R l) : Pairwise S l := by
induction p with
| nil => constructor
| @cons a l r _ ih =>
constructor
· exact fun x h => H (mem_cons_self ..) (mem_cons_of_mem _ h) <| r x h
· exact ih fun m m' => H (mem_cons_of_mem _ m) (mem_cons_of_mem _ m')
theorem Pairwise.and (hR : Pairwise R l) (hS : Pairwise S l) :
l.Pairwise fun a b => R a b ∧ S a b := by
induction hR with
| nil => simp only [Pairwise.nil]
| cons R1 _ IH =>
simp only [Pairwise.nil, pairwise_cons] at hS ⊢
exact ⟨fun b bl => ⟨R1 b bl, hS.1 b bl⟩, IH hS.2⟩
theorem pairwise_and_iff : l.Pairwise (fun a b => R a b ∧ S a b) ↔ Pairwise R l ∧ Pairwise S l :=
⟨fun h => ⟨h.imp fun h => h.1, h.imp fun h => h.2⟩, fun ⟨hR, hS⟩ => hR.and hS⟩
theorem Pairwise.imp₂ (H : ∀ a b, R a b → S a b → T a b)
(hR : Pairwise R l) (hS : l.Pairwise S) : l.Pairwise T :=
(hR.and hS).imp fun ⟨h₁, h₂⟩ => H _ _ h₁ h₂
theorem Pairwise.iff_of_mem {S : α → α → Prop} {l : List α}
(H : ∀ {a b}, a ∈ l → b ∈ l → (R a b ↔ S a b)) : Pairwise R l ↔ Pairwise S l :=
⟨Pairwise.imp_of_mem fun m m' => (H m m').1, Pairwise.imp_of_mem fun m m' => (H m m').2⟩
theorem Pairwise.iff {S : α → α → Prop} (H : ∀ a b, R a b ↔ S a b) {l : List α} :
Pairwise R l ↔ Pairwise S l :=
Pairwise.iff_of_mem fun _ _ => H ..
theorem pairwise_of_forall {l : List α} (H : ∀ x y, R x y) : Pairwise R l := by
induction l <;> simp [*]
theorem Pairwise.and_mem {l : List α} :
Pairwise R l ↔ Pairwise (fun x y => x ∈ l ∧ y ∈ l ∧ R x y) l :=
Pairwise.iff_of_mem <| by simp (config := { contextual := true })
theorem Pairwise.imp_mem {l : List α} :
Pairwise R l ↔ Pairwise (fun x y => x ∈ l → y ∈ l → R x y) l :=
Pairwise.iff_of_mem <| by simp (config := { contextual := true })
theorem Pairwise.forall_of_forall_of_flip (h₁ : ∀ x ∈ l, R x x) (h₂ : Pairwise R l)
(h₃ : l.Pairwise (flip R)) : ∀ ⦃x⦄, x ∈ l → ∀ ⦃y⦄, y ∈ l → R x y := by
induction l with
| nil => exact forall_mem_nil _
| cons a l ih =>
rw [pairwise_cons] at h₂ h₃
simp only [mem_cons]
rintro x (rfl | hx) y (rfl | hy)
· exact h₁ _ (l.mem_cons_self _)
· exact h₂.1 _ hy
· exact h₃.1 _ hx
· exact ih (fun x hx => h₁ _ <| mem_cons_of_mem _ hx) h₂.2 h₃.2 hx hy
theorem pairwise_singleton (R) (a : α) : Pairwise R [a] := by simp
theorem pairwise_pair {a b : α} : Pairwise R [a, b] ↔ R a b := by simp
theorem pairwise_append_comm {R : α → α → Prop} (s : ∀ {x y}, R x y → R y x) {l₁ l₂ : List α} :
Pairwise R (l₁ ++ l₂) ↔ Pairwise R (l₂ ++ l₁) := by
have (l₁ l₂ : List α) (H : ∀ x : α, x ∈ l₁ → ∀ y : α, y ∈ l₂ → R x y)
(x : α) (xm : x ∈ l₂) (y : α) (ym : y ∈ l₁) : R x y := s (H y ym x xm)
simp only [pairwise_append, and_left_comm]; rw [Iff.intro (this l₁ l₂) (this l₂ l₁)]
theorem pairwise_middle {R : α → α → Prop} (s : ∀ {x y}, R x y → R y x) {a : α} {l₁ l₂ : List α} :
Pairwise R (l₁ ++ a :: l₂) ↔ Pairwise R (a :: (l₁ ++ l₂)) := by
show Pairwise R (l₁ ++ ([a] ++ l₂)) ↔ Pairwise R ([a] ++ l₁ ++ l₂)
rw [← append_assoc, pairwise_append, @pairwise_append _ _ ([a] ++ l₁), pairwise_append_comm s]
simp only [mem_append, or_comm]
theorem Pairwise.of_map {S : β → β → Prop} (f : α → β) (H : ∀ a b : α, S (f a) (f b) → R a b)
(p : Pairwise S (map f l)) : Pairwise R l :=
(pairwise_map.1 p).imp (H _ _)
theorem Pairwise.map {S : β → β → Prop} (f : α → β) (H : ∀ a b : α, R a b → S (f a) (f b))
(p : Pairwise R l) : Pairwise S (map f l) :=
pairwise_map.2 <| p.imp (H _ _)
theorem pairwise_filterMap (f : β → Option α) {l : List β} :
Pairwise R (filterMap f l) ↔ Pairwise (fun a a' : β => ∀ b ∈ f a, ∀ b' ∈ f a', R b b') l := by
let _S (a a' : β) := ∀ b ∈ f a, ∀ b' ∈ f a', R b b'
simp only [Option.mem_def]
induction l with
| nil => simp only [filterMap, Pairwise.nil]
| cons a l IH => ?_
match e : f a with
| none =>
rw [filterMap_cons_none _ _ e, pairwise_cons]
simp only [e, false_implies, implies_true, true_and, IH]
| some b =>
rw [filterMap_cons_some _ _ _ e]
simpa [IH, e] using fun _ =>
⟨fun h a ha b hab => h _ _ ha hab, fun h a b ha hab => h _ ha _ hab⟩
theorem Pairwise.filter_map {S : β → β → Prop} (f : α → Option β)
(H : ∀ a a' : α, R a a' → ∀ b ∈ f a, ∀ b' ∈ f a', S b b') {l : List α} (p : Pairwise R l) :
Pairwise S (filterMap f l) :=
(pairwise_filterMap _).2 <| p.imp (H _ _)
theorem pairwise_filter (p : α → Prop) [DecidablePred p] {l : List α} :
Pairwise R (filter p l) ↔ Pairwise (fun x y => p x → p y → R x y) l := by
rw [← filterMap_eq_filter, pairwise_filterMap]
simp
theorem Pairwise.filter (p : α → Bool) : Pairwise R l → Pairwise R (filter p l) :=
Pairwise.sublist (filter_sublist _)
theorem pairwise_join {L : List (List α)} :
Pairwise R (join L) ↔
(∀ l ∈ L, Pairwise R l) ∧ Pairwise (fun l₁ l₂ => ∀ x ∈ l₁, ∀ y ∈ l₂, R x y) L := by
induction L with
| nil => simp
| cons l L IH =>
simp only [join, pairwise_append, IH, mem_join, exists_imp, and_imp, forall_mem_cons,
pairwise_cons, and_assoc, and_congr_right_iff]
rw [and_comm, and_congr_left_iff]
intros; exact ⟨fun h a b c d e => h c d e a b, fun h c d e a b => h a b c d e⟩
theorem pairwise_bind {R : β → β → Prop} {l : List α} {f : α → List β} :
List.Pairwise R (l.bind f) ↔
(∀ a ∈ l, Pairwise R (f a)) ∧ Pairwise (fun a₁ a₂ => ∀ x ∈ f a₁, ∀ y ∈ f a₂, R x y) l := by
simp [List.bind, pairwise_join, pairwise_map]
theorem pairwise_iff_forall_sublist : l.Pairwise R ↔ (∀ {a b}, [a,b] <+ l → R a b) := by
induction l with
| nil => simp
| cons hd tl IH =>
rw [List.pairwise_cons]
constructor <;> intro h
· intro
| a, b, .cons _ hab => exact IH.mp h.2 hab
| _, b, .cons₂ _ hab => refine h.1 _ (hab.subset ?_); simp
· constructor
· intro x hx
apply h
rw [List.cons_sublist_cons, List.singleton_sublist]
exact hx
· apply IH.mpr
intro a b hab
apply h; exact hab.cons _
@[deprecated pairwise_iff_forall_sublist]
theorem pairwise_of_reflexive_on_dupl_of_forall_ne [DecidableEq α] {l : List α} {r : α → α → Prop}
(hr : ∀ a, 1 < count a l → r a a) (h : ∀ a ∈ l, ∀ b ∈ l, a ≠ b → r a b) : l.Pairwise r := by
apply pairwise_iff_forall_sublist.mpr
intro a b hab
if heq : a = b then
cases heq; apply hr
rwa [show [a,a] = replicate 2 a from rfl, ← le_count_iff_replicate_sublist] at hab
else
apply h <;> try (apply hab.subset; simp)
exact heq
theorem map_get_sublist {l : List α} {is : List (Fin l.length)} (h : is.Pairwise (·.val < ·.val)) :
is.map (get l) <+ l := by
suffices ∀ n l', l' = l.drop n → (∀ i ∈ is, n ≤ i) → map (get l) is <+ l'
from this 0 l (by simp) (by simp)
intro n l' hl' his
induction is generalizing n l' with
| nil => simp
| cons hd tl IH =>
simp; cases hl'
have := IH h.of_cons (hd+1) _ rfl (pairwise_cons.mp h).1
specialize his hd (.head _)
have := (drop_eq_get_cons ..).symm ▸ this.cons₂ (get l hd)
have := Sublist.append (nil_sublist (take hd l |>.drop n)) this
rwa [nil_append, ← (drop_append_of_le_length ?_), take_append_drop] at this
simp [Nat.min_eq_left (Nat.le_of_lt hd.isLt), his]
theorem sublist_eq_map_get (h : l' <+ l) : ∃ is : List (Fin l.length),
l' = map (get l) is ∧ is.Pairwise (· < ·) := by
induction h with
| slnil => exact ⟨[], by simp⟩
| cons _ _ IH =>
let ⟨is, IH⟩ := IH
refine ⟨is.map (·.succ), ?_⟩
simp [comp, pairwise_map]
exact IH
| cons₂ _ _ IH =>
rcases IH with ⟨is,IH⟩
refine ⟨⟨0, by simp [Nat.zero_lt_succ]⟩ :: is.map (·.succ), ?_⟩
simp [comp_def, pairwise_map, IH]
theorem pairwise_iff_get : Pairwise R l ↔ ∀ (i j) (_hij : i < j), R (get l i) (get l j) := by
rw [pairwise_iff_forall_sublist]
constructor <;> intro h
· intros i j h'
apply h
apply map_get_sublist (is := [i, j])
rw [Fin.lt_def] at h'; simp [h']
· intros a b h'
have ⟨is, h', hij⟩ := sublist_eq_map_get h'
rcases is with ⟨⟩ | ⟨a', ⟨⟩ | ⟨b', ⟨⟩⟩⟩ <;> simp at h'
rcases h' with ⟨rfl, rfl⟩
apply h; simpa using hij
theorem pairwise_replicate {α : Type _} {r : α → α → Prop} {x : α} (hx : r x x) :
∀ n : Nat, Pairwise r (List.replicate n x)
| 0 => by simp
| n + 1 => by simp [mem_replicate, hx, pairwise_replicate hx n]
@[simp] theorem pwFilter_nil [DecidableRel R] : pwFilter R [] = [] := rfl
@[simp] theorem pwFilter_cons_of_pos [DecidableRel (α := α) R] {a : α} {l : List α}
(h : ∀ b ∈ pwFilter R l, R a b) : pwFilter R (a :: l) = a :: pwFilter R l := if_pos h
@[simp] theorem pwFilter_cons_of_neg [DecidableRel (α := α) R] {a : α} {l : List α}
(h : ¬∀ b ∈ pwFilter R l, R a b) : pwFilter R (a :: l) = pwFilter R l := if_neg h
theorem pwFilter_map [DecidableRel (α := α) R] (f : β → α) :
∀ l : List β, pwFilter R (map f l) = map f (pwFilter (fun x y => R (f x) (f y)) l)
| [] => rfl
| x :: xs => by
if h : ∀ b ∈ pwFilter R (map f xs), R (f x) b then
have h' : ∀ b : β, b ∈ pwFilter (fun x y : β => R (f x) (f y)) xs → R (f x) (f b) :=
fun b hb => h _ (by rw [pwFilter_map f xs]; apply mem_map_of_mem _ hb)
rw [map, pwFilter_cons_of_pos h, pwFilter_cons_of_pos h', pwFilter_map f xs, map]
else
rw [map, pwFilter_cons_of_neg h, pwFilter_cons_of_neg ?_, pwFilter_map f xs]
refine fun hh => h fun a ha => ?_
rw [pwFilter_map f xs, mem_map] at ha
let ⟨b, hb₀, hb₁⟩ := ha; exact hb₁ ▸ hh _ hb₀
theorem pwFilter_sublist [DecidableRel (α := α) R] : ∀ l : List α, pwFilter R l <+ l
| [] => nil_sublist _
| x :: l =>
if h : ∀ y ∈ pwFilter R l, R x y then
pwFilter_cons_of_pos h ▸ (pwFilter_sublist l).cons₂ _
else
pwFilter_cons_of_neg h ▸ Sublist.cons _ (pwFilter_sublist l)
theorem pwFilter_subset [DecidableRel (α := α) R] (l : List α) : pwFilter R l ⊆ l :=
(pwFilter_sublist _).subset
theorem pairwise_pwFilter [DecidableRel (α := α) R] : ∀ l : List α, Pairwise R (pwFilter R l)
| [] => Pairwise.nil
| x :: l =>
if h : ∀ y ∈ pwFilter R l, R x y then
pwFilter_cons_of_pos h ▸ pairwise_cons.2 ⟨h, pairwise_pwFilter l⟩
else
pwFilter_cons_of_neg h ▸ pairwise_pwFilter l
| .lake/packages/batteries/Batteries/Data/List/Pairwise.lean | 298 | 307 | theorem pwFilter_eq_self [DecidableRel (α := α) R] {l : List α} :
pwFilter R l = l ↔ Pairwise R l := by |
refine ⟨fun e => e ▸ pairwise_pwFilter l, fun p => ?_⟩
induction l with
| nil => rfl
| cons x l IH =>
let ⟨al, p⟩ := pairwise_cons.1 p
rw [pwFilter_cons_of_pos fun b hb => ?_, IH p]
rw [IH p] at hb
exact al _ hb
|
import Mathlib.RingTheory.DedekindDomain.Ideal
import Mathlib.RingTheory.Valuation.ExtendToLocalization
import Mathlib.RingTheory.Valuation.ValuationSubring
import Mathlib.Topology.Algebra.ValuedField
import Mathlib.Algebra.Order.Group.TypeTags
#align_import ring_theory.dedekind_domain.adic_valuation from "leanprover-community/mathlib"@"f0c8bf9245297a541f468be517f1bde6195105e9"
noncomputable section
open scoped Classical DiscreteValuation
open Multiplicative IsDedekindDomain
variable {R : Type*} [CommRing R] [IsDedekindDomain R] {K : Type*} [Field K]
[Algebra R K] [IsFractionRing R K] (v : HeightOneSpectrum R)
namespace IsDedekindDomain.HeightOneSpectrum
def intValuationDef (r : R) : ℤₘ₀ :=
if r = 0 then 0
else
↑(Multiplicative.ofAdd
(-(Associates.mk v.asIdeal).count (Associates.mk (Ideal.span {r} : Ideal R)).factors : ℤ))
#align is_dedekind_domain.height_one_spectrum.int_valuation_def IsDedekindDomain.HeightOneSpectrum.intValuationDef
theorem intValuationDef_if_pos {r : R} (hr : r = 0) : v.intValuationDef r = 0 :=
if_pos hr
#align is_dedekind_domain.height_one_spectrum.int_valuation_def_if_pos IsDedekindDomain.HeightOneSpectrum.intValuationDef_if_pos
theorem intValuationDef_if_neg {r : R} (hr : r ≠ 0) :
v.intValuationDef r =
Multiplicative.ofAdd
(-(Associates.mk v.asIdeal).count (Associates.mk (Ideal.span {r} : Ideal R)).factors : ℤ) :=
if_neg hr
#align is_dedekind_domain.height_one_spectrum.int_valuation_def_if_neg IsDedekindDomain.HeightOneSpectrum.intValuationDef_if_neg
theorem int_valuation_ne_zero (x : R) (hx : x ≠ 0) : v.intValuationDef x ≠ 0 := by
rw [intValuationDef, if_neg hx]
exact WithZero.coe_ne_zero
#align is_dedekind_domain.height_one_spectrum.int_valuation_ne_zero IsDedekindDomain.HeightOneSpectrum.int_valuation_ne_zero
theorem int_valuation_ne_zero' (x : nonZeroDivisors R) : v.intValuationDef x ≠ 0 :=
v.int_valuation_ne_zero x (nonZeroDivisors.coe_ne_zero x)
#align is_dedekind_domain.height_one_spectrum.int_valuation_ne_zero' IsDedekindDomain.HeightOneSpectrum.int_valuation_ne_zero'
| Mathlib/RingTheory/DedekindDomain/AdicValuation.lean | 108 | 110 | theorem int_valuation_zero_le (x : nonZeroDivisors R) : 0 < v.intValuationDef x := by |
rw [v.intValuationDef_if_neg (nonZeroDivisors.coe_ne_zero x)]
exact WithZero.zero_lt_coe _
|
import Mathlib.Algebra.Squarefree.Basic
import Mathlib.Data.ZMod.Basic
import Mathlib.RingTheory.PrincipalIdealDomain
#align_import ring_theory.zmod from "leanprover-community/mathlib"@"00d163e35035c3577c1c79fa53b68de17781ffc1"
| Mathlib/RingTheory/ZMod.lean | 25 | 29 | theorem ZMod.ker_intCastRingHom (n : ℕ) :
RingHom.ker (Int.castRingHom (ZMod n)) = Ideal.span ({(n : ℤ)} : Set ℤ) := by |
ext
rw [Ideal.mem_span_singleton, RingHom.mem_ker, Int.coe_castRingHom,
ZMod.intCast_zmod_eq_zero_iff_dvd]
|
import Mathlib.Data.Finset.Prod
import Mathlib.Data.Set.Finite
#align_import data.finset.n_ary from "leanprover-community/mathlib"@"eba7871095e834365616b5e43c8c7bb0b37058d0"
open Function Set
variable {α α' β β' γ γ' δ δ' ε ε' ζ ζ' ν : Type*}
namespace Finset
variable [DecidableEq α'] [DecidableEq β'] [DecidableEq γ] [DecidableEq γ'] [DecidableEq δ]
[DecidableEq δ'] [DecidableEq ε] [DecidableEq ε'] {f f' : α → β → γ} {g g' : α → β → γ → δ}
{s s' : Finset α} {t t' : Finset β} {u u' : Finset γ} {a a' : α} {b b' : β} {c : γ}
def image₂ (f : α → β → γ) (s : Finset α) (t : Finset β) : Finset γ :=
(s ×ˢ t).image <| uncurry f
#align finset.image₂ Finset.image₂
@[simp]
theorem mem_image₂ : c ∈ image₂ f s t ↔ ∃ a ∈ s, ∃ b ∈ t, f a b = c := by
simp [image₂, and_assoc]
#align finset.mem_image₂ Finset.mem_image₂
@[simp, norm_cast]
theorem coe_image₂ (f : α → β → γ) (s : Finset α) (t : Finset β) :
(image₂ f s t : Set γ) = Set.image2 f s t :=
Set.ext fun _ => mem_image₂
#align finset.coe_image₂ Finset.coe_image₂
theorem card_image₂_le (f : α → β → γ) (s : Finset α) (t : Finset β) :
(image₂ f s t).card ≤ s.card * t.card :=
card_image_le.trans_eq <| card_product _ _
#align finset.card_image₂_le Finset.card_image₂_le
theorem card_image₂_iff :
(image₂ f s t).card = s.card * t.card ↔ (s ×ˢ t : Set (α × β)).InjOn fun x => f x.1 x.2 := by
rw [← card_product, ← coe_product]
exact card_image_iff
#align finset.card_image₂_iff Finset.card_image₂_iff
theorem card_image₂ (hf : Injective2 f) (s : Finset α) (t : Finset β) :
(image₂ f s t).card = s.card * t.card :=
(card_image_of_injective _ hf.uncurry).trans <| card_product _ _
#align finset.card_image₂ Finset.card_image₂
theorem mem_image₂_of_mem (ha : a ∈ s) (hb : b ∈ t) : f a b ∈ image₂ f s t :=
mem_image₂.2 ⟨a, ha, b, hb, rfl⟩
#align finset.mem_image₂_of_mem Finset.mem_image₂_of_mem
theorem mem_image₂_iff (hf : Injective2 f) : f a b ∈ image₂ f s t ↔ a ∈ s ∧ b ∈ t := by
rw [← mem_coe, coe_image₂, mem_image2_iff hf, mem_coe, mem_coe]
#align finset.mem_image₂_iff Finset.mem_image₂_iff
theorem image₂_subset (hs : s ⊆ s') (ht : t ⊆ t') : image₂ f s t ⊆ image₂ f s' t' := by
rw [← coe_subset, coe_image₂, coe_image₂]
exact image2_subset hs ht
#align finset.image₂_subset Finset.image₂_subset
theorem image₂_subset_left (ht : t ⊆ t') : image₂ f s t ⊆ image₂ f s t' :=
image₂_subset Subset.rfl ht
#align finset.image₂_subset_left Finset.image₂_subset_left
theorem image₂_subset_right (hs : s ⊆ s') : image₂ f s t ⊆ image₂ f s' t :=
image₂_subset hs Subset.rfl
#align finset.image₂_subset_right Finset.image₂_subset_right
theorem image_subset_image₂_left (hb : b ∈ t) : s.image (fun a => f a b) ⊆ image₂ f s t :=
image_subset_iff.2 fun _ ha => mem_image₂_of_mem ha hb
#align finset.image_subset_image₂_left Finset.image_subset_image₂_left
theorem image_subset_image₂_right (ha : a ∈ s) : t.image (fun b => f a b) ⊆ image₂ f s t :=
image_subset_iff.2 fun _ => mem_image₂_of_mem ha
#align finset.image_subset_image₂_right Finset.image_subset_image₂_right
theorem forall_image₂_iff {p : γ → Prop} :
(∀ z ∈ image₂ f s t, p z) ↔ ∀ x ∈ s, ∀ y ∈ t, p (f x y) := by
simp_rw [← mem_coe, coe_image₂, forall_image2_iff]
#align finset.forall_image₂_iff Finset.forall_image₂_iff
@[simp]
theorem image₂_subset_iff : image₂ f s t ⊆ u ↔ ∀ x ∈ s, ∀ y ∈ t, f x y ∈ u :=
forall_image₂_iff
#align finset.image₂_subset_iff Finset.image₂_subset_iff
theorem image₂_subset_iff_left : image₂ f s t ⊆ u ↔ ∀ a ∈ s, (t.image fun b => f a b) ⊆ u := by
simp_rw [image₂_subset_iff, image_subset_iff]
#align finset.image₂_subset_iff_left Finset.image₂_subset_iff_left
theorem image₂_subset_iff_right : image₂ f s t ⊆ u ↔ ∀ b ∈ t, (s.image fun a => f a b) ⊆ u := by
simp_rw [image₂_subset_iff, image_subset_iff, @forall₂_swap α]
#align finset.image₂_subset_iff_right Finset.image₂_subset_iff_right
@[simp, aesop safe apply (rule_sets := [finsetNonempty])]
theorem image₂_nonempty_iff : (image₂ f s t).Nonempty ↔ s.Nonempty ∧ t.Nonempty := by
rw [← coe_nonempty, coe_image₂]
exact image2_nonempty_iff
#align finset.image₂_nonempty_iff Finset.image₂_nonempty_iff
theorem Nonempty.image₂ (hs : s.Nonempty) (ht : t.Nonempty) : (image₂ f s t).Nonempty :=
image₂_nonempty_iff.2 ⟨hs, ht⟩
#align finset.nonempty.image₂ Finset.Nonempty.image₂
theorem Nonempty.of_image₂_left (h : (s.image₂ f t).Nonempty) : s.Nonempty :=
(image₂_nonempty_iff.1 h).1
#align finset.nonempty.of_image₂_left Finset.Nonempty.of_image₂_left
theorem Nonempty.of_image₂_right (h : (s.image₂ f t).Nonempty) : t.Nonempty :=
(image₂_nonempty_iff.1 h).2
#align finset.nonempty.of_image₂_right Finset.Nonempty.of_image₂_right
@[simp]
theorem image₂_empty_left : image₂ f ∅ t = ∅ :=
coe_injective <| by simp
#align finset.image₂_empty_left Finset.image₂_empty_left
@[simp]
theorem image₂_empty_right : image₂ f s ∅ = ∅ :=
coe_injective <| by simp
#align finset.image₂_empty_right Finset.image₂_empty_right
@[simp]
theorem image₂_eq_empty_iff : image₂ f s t = ∅ ↔ s = ∅ ∨ t = ∅ := by
simp_rw [← not_nonempty_iff_eq_empty, image₂_nonempty_iff, not_and_or]
#align finset.image₂_eq_empty_iff Finset.image₂_eq_empty_iff
@[simp]
theorem image₂_singleton_left : image₂ f {a} t = t.image fun b => f a b :=
ext fun x => by simp
#align finset.image₂_singleton_left Finset.image₂_singleton_left
@[simp]
theorem image₂_singleton_right : image₂ f s {b} = s.image fun a => f a b :=
ext fun x => by simp
#align finset.image₂_singleton_right Finset.image₂_singleton_right
theorem image₂_singleton_left' : image₂ f {a} t = t.image (f a) :=
image₂_singleton_left
#align finset.image₂_singleton_left' Finset.image₂_singleton_left'
theorem image₂_singleton : image₂ f {a} {b} = {f a b} := by simp
#align finset.image₂_singleton Finset.image₂_singleton
theorem image₂_union_left [DecidableEq α] : image₂ f (s ∪ s') t = image₂ f s t ∪ image₂ f s' t :=
coe_injective <| by
push_cast
exact image2_union_left
#align finset.image₂_union_left Finset.image₂_union_left
theorem image₂_union_right [DecidableEq β] : image₂ f s (t ∪ t') = image₂ f s t ∪ image₂ f s t' :=
coe_injective <| by
push_cast
exact image2_union_right
#align finset.image₂_union_right Finset.image₂_union_right
@[simp]
theorem image₂_insert_left [DecidableEq α] :
image₂ f (insert a s) t = (t.image fun b => f a b) ∪ image₂ f s t :=
coe_injective <| by
push_cast
exact image2_insert_left
#align finset.image₂_insert_left Finset.image₂_insert_left
@[simp]
theorem image₂_insert_right [DecidableEq β] :
image₂ f s (insert b t) = (s.image fun a => f a b) ∪ image₂ f s t :=
coe_injective <| by
push_cast
exact image2_insert_right
#align finset.image₂_insert_right Finset.image₂_insert_right
theorem image₂_inter_left [DecidableEq α] (hf : Injective2 f) :
image₂ f (s ∩ s') t = image₂ f s t ∩ image₂ f s' t :=
coe_injective <| by
push_cast
exact image2_inter_left hf
#align finset.image₂_inter_left Finset.image₂_inter_left
theorem image₂_inter_right [DecidableEq β] (hf : Injective2 f) :
image₂ f s (t ∩ t') = image₂ f s t ∩ image₂ f s t' :=
coe_injective <| by
push_cast
exact image2_inter_right hf
#align finset.image₂_inter_right Finset.image₂_inter_right
theorem image₂_inter_subset_left [DecidableEq α] :
image₂ f (s ∩ s') t ⊆ image₂ f s t ∩ image₂ f s' t :=
coe_subset.1 <| by
push_cast
exact image2_inter_subset_left
#align finset.image₂_inter_subset_left Finset.image₂_inter_subset_left
theorem image₂_inter_subset_right [DecidableEq β] :
image₂ f s (t ∩ t') ⊆ image₂ f s t ∩ image₂ f s t' :=
coe_subset.1 <| by
push_cast
exact image2_inter_subset_right
#align finset.image₂_inter_subset_right Finset.image₂_inter_subset_right
theorem image₂_congr (h : ∀ a ∈ s, ∀ b ∈ t, f a b = f' a b) : image₂ f s t = image₂ f' s t :=
coe_injective <| by
push_cast
exact image2_congr h
#align finset.image₂_congr Finset.image₂_congr
theorem image₂_congr' (h : ∀ a b, f a b = f' a b) : image₂ f s t = image₂ f' s t :=
image₂_congr fun a _ b _ => h a b
#align finset.image₂_congr' Finset.image₂_congr'
variable (s t)
theorem card_image₂_singleton_left (hf : Injective (f a)) : (image₂ f {a} t).card = t.card := by
rw [image₂_singleton_left, card_image_of_injective _ hf]
#align finset.card_image₂_singleton_left Finset.card_image₂_singleton_left
theorem card_image₂_singleton_right (hf : Injective fun a => f a b) :
(image₂ f s {b}).card = s.card := by rw [image₂_singleton_right, card_image_of_injective _ hf]
#align finset.card_image₂_singleton_right Finset.card_image₂_singleton_right
theorem image₂_singleton_inter [DecidableEq β] (t₁ t₂ : Finset β) (hf : Injective (f a)) :
image₂ f {a} (t₁ ∩ t₂) = image₂ f {a} t₁ ∩ image₂ f {a} t₂ := by
simp_rw [image₂_singleton_left, image_inter _ _ hf]
#align finset.image₂_singleton_inter Finset.image₂_singleton_inter
theorem image₂_inter_singleton [DecidableEq α] (s₁ s₂ : Finset α) (hf : Injective fun a => f a b) :
image₂ f (s₁ ∩ s₂) {b} = image₂ f s₁ {b} ∩ image₂ f s₂ {b} := by
simp_rw [image₂_singleton_right, image_inter _ _ hf]
#align finset.image₂_inter_singleton Finset.image₂_inter_singleton
theorem card_le_card_image₂_left {s : Finset α} (hs : s.Nonempty) (hf : ∀ a, Injective (f a)) :
t.card ≤ (image₂ f s t).card := by
obtain ⟨a, ha⟩ := hs
rw [← card_image₂_singleton_left _ (hf a)]
exact card_le_card (image₂_subset_right <| singleton_subset_iff.2 ha)
#align finset.card_le_card_image₂_left Finset.card_le_card_image₂_left
theorem card_le_card_image₂_right {t : Finset β} (ht : t.Nonempty)
(hf : ∀ b, Injective fun a => f a b) : s.card ≤ (image₂ f s t).card := by
obtain ⟨b, hb⟩ := ht
rw [← card_image₂_singleton_right _ (hf b)]
exact card_le_card (image₂_subset_left <| singleton_subset_iff.2 hb)
#align finset.card_le_card_image₂_right Finset.card_le_card_image₂_right
variable {s t}
theorem biUnion_image_left : (s.biUnion fun a => t.image <| f a) = image₂ f s t :=
coe_injective <| by
push_cast
exact Set.iUnion_image_left _
#align finset.bUnion_image_left Finset.biUnion_image_left
theorem biUnion_image_right : (t.biUnion fun b => s.image fun a => f a b) = image₂ f s t :=
coe_injective <| by
push_cast
exact Set.iUnion_image_right _
#align finset.bUnion_image_right Finset.biUnion_image_right
theorem image_image₂ (f : α → β → γ) (g : γ → δ) :
(image₂ f s t).image g = image₂ (fun a b => g (f a b)) s t :=
coe_injective <| by
push_cast
exact image_image2 _ _
#align finset.image_image₂ Finset.image_image₂
theorem image₂_image_left (f : γ → β → δ) (g : α → γ) :
image₂ f (s.image g) t = image₂ (fun a b => f (g a) b) s t :=
coe_injective <| by
push_cast
exact image2_image_left _ _
#align finset.image₂_image_left Finset.image₂_image_left
theorem image₂_image_right (f : α → γ → δ) (g : β → γ) :
image₂ f s (t.image g) = image₂ (fun a b => f a (g b)) s t :=
coe_injective <| by
push_cast
exact image2_image_right _ _
#align finset.image₂_image_right Finset.image₂_image_right
@[simp]
theorem image₂_mk_eq_product [DecidableEq α] [DecidableEq β] (s : Finset α) (t : Finset β) :
image₂ Prod.mk s t = s ×ˢ t := by ext; simp [Prod.ext_iff]
#align finset.image₂_mk_eq_product Finset.image₂_mk_eq_product
@[simp]
theorem image₂_curry (f : α × β → γ) (s : Finset α) (t : Finset β) :
image₂ (curry f) s t = (s ×ˢ t).image f := rfl
#align finset.image₂_curry Finset.image₂_curry
@[simp]
theorem image_uncurry_product (f : α → β → γ) (s : Finset α) (t : Finset β) :
(s ×ˢ t).image (uncurry f) = image₂ f s t := rfl
#align finset.image_uncurry_product Finset.image_uncurry_product
theorem image₂_swap (f : α → β → γ) (s : Finset α) (t : Finset β) :
image₂ f s t = image₂ (fun a b => f b a) t s :=
coe_injective <| by
push_cast
exact image2_swap _ _ _
#align finset.image₂_swap Finset.image₂_swap
@[simp]
theorem image₂_left [DecidableEq α] (h : t.Nonempty) : image₂ (fun x _ => x) s t = s :=
coe_injective <| by
push_cast
exact image2_left h
#align finset.image₂_left Finset.image₂_left
@[simp]
theorem image₂_right [DecidableEq β] (h : s.Nonempty) : image₂ (fun _ y => y) s t = t :=
coe_injective <| by
push_cast
exact image2_right h
#align finset.image₂_right Finset.image₂_right
theorem image₂_assoc {γ : Type*} {u : Finset γ} {f : δ → γ → ε} {g : α → β → δ} {f' : α → ε' → ε}
{g' : β → γ → ε'} (h_assoc : ∀ a b c, f (g a b) c = f' a (g' b c)) :
image₂ f (image₂ g s t) u = image₂ f' s (image₂ g' t u) :=
coe_injective <| by
push_cast
exact image2_assoc h_assoc
#align finset.image₂_assoc Finset.image₂_assoc
theorem image₂_comm {g : β → α → γ} (h_comm : ∀ a b, f a b = g b a) : image₂ f s t = image₂ g t s :=
(image₂_swap _ _ _).trans <| by simp_rw [h_comm]
#align finset.image₂_comm Finset.image₂_comm
theorem image₂_left_comm {γ : Type*} {u : Finset γ} {f : α → δ → ε} {g : β → γ → δ}
{f' : α → γ → δ'} {g' : β → δ' → ε} (h_left_comm : ∀ a b c, f a (g b c) = g' b (f' a c)) :
image₂ f s (image₂ g t u) = image₂ g' t (image₂ f' s u) :=
coe_injective <| by
push_cast
exact image2_left_comm h_left_comm
#align finset.image₂_left_comm Finset.image₂_left_comm
theorem image₂_right_comm {γ : Type*} {u : Finset γ} {f : δ → γ → ε} {g : α → β → δ}
{f' : α → γ → δ'} {g' : δ' → β → ε} (h_right_comm : ∀ a b c, f (g a b) c = g' (f' a c) b) :
image₂ f (image₂ g s t) u = image₂ g' (image₂ f' s u) t :=
coe_injective <| by
push_cast
exact image2_right_comm h_right_comm
#align finset.image₂_right_comm Finset.image₂_right_comm
theorem image₂_image₂_image₂_comm {γ δ : Type*} {u : Finset γ} {v : Finset δ} [DecidableEq ζ]
[DecidableEq ζ'] [DecidableEq ν] {f : ε → ζ → ν} {g : α → β → ε} {h : γ → δ → ζ}
{f' : ε' → ζ' → ν} {g' : α → γ → ε'} {h' : β → δ → ζ'}
(h_comm : ∀ a b c d, f (g a b) (h c d) = f' (g' a c) (h' b d)) :
image₂ f (image₂ g s t) (image₂ h u v) = image₂ f' (image₂ g' s u) (image₂ h' t v) :=
coe_injective <| by
push_cast
exact image2_image2_image2_comm h_comm
#align finset.image₂_image₂_image₂_comm Finset.image₂_image₂_image₂_comm
theorem image_image₂_distrib {g : γ → δ} {f' : α' → β' → δ} {g₁ : α → α'} {g₂ : β → β'}
(h_distrib : ∀ a b, g (f a b) = f' (g₁ a) (g₂ b)) :
(image₂ f s t).image g = image₂ f' (s.image g₁) (t.image g₂) :=
coe_injective <| by
push_cast
exact image_image2_distrib h_distrib
#align finset.image_image₂_distrib Finset.image_image₂_distrib
theorem image_image₂_distrib_left {g : γ → δ} {f' : α' → β → δ} {g' : α → α'}
(h_distrib : ∀ a b, g (f a b) = f' (g' a) b) :
(image₂ f s t).image g = image₂ f' (s.image g') t :=
coe_injective <| by
push_cast
exact image_image2_distrib_left h_distrib
#align finset.image_image₂_distrib_left Finset.image_image₂_distrib_left
theorem image_image₂_distrib_right {g : γ → δ} {f' : α → β' → δ} {g' : β → β'}
(h_distrib : ∀ a b, g (f a b) = f' a (g' b)) :
(image₂ f s t).image g = image₂ f' s (t.image g') :=
coe_injective <| by
push_cast
exact image_image2_distrib_right h_distrib
#align finset.image_image₂_distrib_right Finset.image_image₂_distrib_right
theorem image₂_image_left_comm {f : α' → β → γ} {g : α → α'} {f' : α → β → δ} {g' : δ → γ}
(h_left_comm : ∀ a b, f (g a) b = g' (f' a b)) :
image₂ f (s.image g) t = (image₂ f' s t).image g' :=
(image_image₂_distrib_left fun a b => (h_left_comm a b).symm).symm
#align finset.image₂_image_left_comm Finset.image₂_image_left_comm
theorem image_image₂_right_comm {f : α → β' → γ} {g : β → β'} {f' : α → β → δ} {g' : δ → γ}
(h_right_comm : ∀ a b, f a (g b) = g' (f' a b)) :
image₂ f s (t.image g) = (image₂ f' s t).image g' :=
(image_image₂_distrib_right fun a b => (h_right_comm a b).symm).symm
#align finset.image_image₂_right_comm Finset.image_image₂_right_comm
theorem image₂_distrib_subset_left {γ : Type*} {u : Finset γ} {f : α → δ → ε} {g : β → γ → δ}
{f₁ : α → β → β'} {f₂ : α → γ → γ'} {g' : β' → γ' → ε}
(h_distrib : ∀ a b c, f a (g b c) = g' (f₁ a b) (f₂ a c)) :
image₂ f s (image₂ g t u) ⊆ image₂ g' (image₂ f₁ s t) (image₂ f₂ s u) :=
coe_subset.1 <| by
push_cast
exact Set.image2_distrib_subset_left h_distrib
#align finset.image₂_distrib_subset_left Finset.image₂_distrib_subset_left
theorem image₂_distrib_subset_right {γ : Type*} {u : Finset γ} {f : δ → γ → ε} {g : α → β → δ}
{f₁ : α → γ → α'} {f₂ : β → γ → β'} {g' : α' → β' → ε}
(h_distrib : ∀ a b c, f (g a b) c = g' (f₁ a c) (f₂ b c)) :
image₂ f (image₂ g s t) u ⊆ image₂ g' (image₂ f₁ s u) (image₂ f₂ t u) :=
coe_subset.1 <| by
push_cast
exact Set.image2_distrib_subset_right h_distrib
#align finset.image₂_distrib_subset_right Finset.image₂_distrib_subset_right
theorem image_image₂_antidistrib {g : γ → δ} {f' : β' → α' → δ} {g₁ : β → β'} {g₂ : α → α'}
(h_antidistrib : ∀ a b, g (f a b) = f' (g₁ b) (g₂ a)) :
(image₂ f s t).image g = image₂ f' (t.image g₁) (s.image g₂) := by
rw [image₂_swap f]
exact image_image₂_distrib fun _ _ => h_antidistrib _ _
#align finset.image_image₂_antidistrib Finset.image_image₂_antidistrib
theorem image_image₂_antidistrib_left {g : γ → δ} {f' : β' → α → δ} {g' : β → β'}
(h_antidistrib : ∀ a b, g (f a b) = f' (g' b) a) :
(image₂ f s t).image g = image₂ f' (t.image g') s :=
coe_injective <| by
push_cast
exact image_image2_antidistrib_left h_antidistrib
#align finset.image_image₂_antidistrib_left Finset.image_image₂_antidistrib_left
theorem image_image₂_antidistrib_right {g : γ → δ} {f' : β → α' → δ} {g' : α → α'}
(h_antidistrib : ∀ a b, g (f a b) = f' b (g' a)) :
(image₂ f s t).image g = image₂ f' t (s.image g') :=
coe_injective <| by
push_cast
exact image_image2_antidistrib_right h_antidistrib
#align finset.image_image₂_antidistrib_right Finset.image_image₂_antidistrib_right
theorem image₂_image_left_anticomm {f : α' → β → γ} {g : α → α'} {f' : β → α → δ} {g' : δ → γ}
(h_left_anticomm : ∀ a b, f (g a) b = g' (f' b a)) :
image₂ f (s.image g) t = (image₂ f' t s).image g' :=
(image_image₂_antidistrib_left fun a b => (h_left_anticomm b a).symm).symm
#align finset.image₂_image_left_anticomm Finset.image₂_image_left_anticomm
theorem image_image₂_right_anticomm {f : α → β' → γ} {g : β → β'} {f' : β → α → δ} {g' : δ → γ}
(h_right_anticomm : ∀ a b, f a (g b) = g' (f' b a)) :
image₂ f s (t.image g) = (image₂ f' t s).image g' :=
(image_image₂_antidistrib_right fun a b => (h_right_anticomm b a).symm).symm
#align finset.image_image₂_right_anticomm Finset.image_image₂_right_anticomm
theorem image₂_left_identity {f : α → γ → γ} {a : α} (h : ∀ b, f a b = b) (t : Finset γ) :
image₂ f {a} t = t :=
coe_injective <| by rw [coe_image₂, coe_singleton, Set.image2_left_identity h]
#align finset.image₂_left_identity Finset.image₂_left_identity
theorem image₂_right_identity {f : γ → β → γ} {b : β} (h : ∀ a, f a b = a) (s : Finset γ) :
image₂ f s {b} = s := by rw [image₂_singleton_right, funext h, image_id']
#align finset.image₂_right_identity Finset.image₂_right_identity
theorem card_dvd_card_image₂_right (hf : ∀ a ∈ s, Injective (f a))
(hs : ((fun a => t.image <| f a) '' s).PairwiseDisjoint id) : t.card ∣ (image₂ f s t).card := by
classical
induction' s using Finset.induction with a s _ ih
· simp
specialize ih (forall_of_forall_insert hf)
(hs.subset <| Set.image_subset _ <| coe_subset.2 <| subset_insert _ _)
rw [image₂_insert_left]
by_cases h : Disjoint (image (f a) t) (image₂ f s t)
· rw [card_union_of_disjoint h]
exact Nat.dvd_add (card_image_of_injective _ <| hf _ <| mem_insert_self _ _).symm.dvd ih
simp_rw [← biUnion_image_left, disjoint_biUnion_right, not_forall] at h
obtain ⟨b, hb, h⟩ := h
rwa [union_eq_right.2]
exact (hs.eq (Set.mem_image_of_mem _ <| mem_insert_self _ _)
(Set.mem_image_of_mem _ <| mem_insert_of_mem hb) h).trans_subset
(image_subset_image₂_right hb)
#align finset.card_dvd_card_image₂_right Finset.card_dvd_card_image₂_right
| Mathlib/Data/Finset/NAry.lean | 523 | 525 | theorem card_dvd_card_image₂_left (hf : ∀ b ∈ t, Injective fun a => f a b)
(ht : ((fun b => s.image fun a => f a b) '' t).PairwiseDisjoint id) :
s.card ∣ (image₂ f s t).card := by | rw [← image₂_swap]; exact card_dvd_card_image₂_right hf ht
|
import Mathlib.NumberTheory.Cyclotomic.PrimitiveRoots
import Mathlib.FieldTheory.Finite.Trace
import Mathlib.Algebra.Group.AddChar
import Mathlib.Data.ZMod.Units
import Mathlib.Analysis.Complex.Polynomial
#align_import number_theory.legendre_symbol.add_character from "leanprover-community/mathlib"@"0723536a0522d24fc2f159a096fb3304bef77472"
universe u v
namespace AddChar
section Additive
-- The domain and target of our additive characters. Now we restrict to a ring in the domain.
variable {R : Type u} [CommRing R] {R' : Type v} [CommMonoid R']
lemma val_mem_rootsOfUnity (φ : AddChar R R') (a : R) (h : 0 < ringChar R) :
(φ.val_isUnit a).unit ∈ rootsOfUnity (ringChar R).toPNat' R' := by
simp only [mem_rootsOfUnity', IsUnit.unit_spec, Nat.toPNat'_coe, h, ↓reduceIte,
← map_nsmul_eq_pow, nsmul_eq_mul, CharP.cast_eq_zero, zero_mul, map_zero_eq_one]
def IsPrimitive (ψ : AddChar R R') : Prop :=
∀ a : R, a ≠ 0 → IsNontrivial (mulShift ψ a)
#align add_char.is_primitive AddChar.IsPrimitive
lemma IsPrimitive.compMulHom_of_isPrimitive {R'' : Type*} [CommMonoid R''] {φ : AddChar R R'}
{f : R' →* R''} (hφ : φ.IsPrimitive) (hf : Function.Injective f) :
(f.compAddChar φ).IsPrimitive := by
intro a a_ne_zero
obtain ⟨r, ne_one⟩ := hφ a a_ne_zero
rw [mulShift_apply] at ne_one
simp only [IsNontrivial, mulShift_apply, f.coe_compAddChar, Function.comp_apply]
exact ⟨r, fun H ↦ ne_one <| hf <| f.map_one ▸ H⟩
theorem to_mulShift_inj_of_isPrimitive {ψ : AddChar R R'} (hψ : IsPrimitive ψ) :
Function.Injective ψ.mulShift := by
intro a b h
apply_fun fun x => x * mulShift ψ (-b) at h
simp only [mulShift_mul, mulShift_zero, add_right_neg] at h
have h₂ := hψ (a + -b)
rw [h, isNontrivial_iff_ne_trivial, ← sub_eq_add_neg, sub_ne_zero] at h₂
exact not_not.mp fun h => h₂ h rfl
#align add_char.to_mul_shift_inj_of_is_primitive AddChar.to_mulShift_inj_of_isPrimitive
-- `AddCommGroup.equiv_direct_sum_zmod_of_fintype`
-- gives the structure theorem for finite abelian groups.
-- This could be used to show that the map above is a bijection.
-- We leave this for a later occasion.
| Mathlib/NumberTheory/LegendreSymbol/AddCharacter.lean | 91 | 96 | theorem IsNontrivial.isPrimitive {F : Type u} [Field F] {ψ : AddChar F R'} (hψ : IsNontrivial ψ) :
IsPrimitive ψ := by |
intro a ha
cases' hψ with x h
use a⁻¹ * x
rwa [mulShift_apply, mul_inv_cancel_left₀ ha]
|
import Mathlib.Topology.MetricSpace.Thickening
import Mathlib.MeasureTheory.Constructions.BorelSpace.Real
#align_import measure_theory.constructions.borel_space.basic from "leanprover-community/mathlib"@"9f55d0d4363ae59948c33864cbc52e0b12e0e8ce"
open Set Filter MeasureTheory MeasurableSpace TopologicalSpace
open scoped Classical Topology NNReal ENNReal MeasureTheory
universe u v w x y
variable {α β γ δ : Type*} {ι : Sort y} {s t u : Set α}
section PseudoEMetricSpace
variable [PseudoEMetricSpace α] [MeasurableSpace α] [OpensMeasurableSpace α]
variable [MeasurableSpace β] {x : α} {ε : ℝ≥0∞}
open EMetric
@[measurability]
theorem measurableSet_eball : MeasurableSet (EMetric.ball x ε) :=
EMetric.isOpen_ball.measurableSet
#align measurable_set_eball measurableSet_eball
@[measurability]
theorem measurable_edist_right : Measurable (edist x) :=
(continuous_const.edist continuous_id).measurable
#align measurable_edist_right measurable_edist_right
@[measurability]
theorem measurable_edist_left : Measurable fun y => edist y x :=
(continuous_id.edist continuous_const).measurable
#align measurable_edist_left measurable_edist_left
@[measurability]
theorem measurable_infEdist {s : Set α} : Measurable fun x => infEdist x s :=
continuous_infEdist.measurable
#align measurable_inf_edist measurable_infEdist
@[measurability]
theorem Measurable.infEdist {f : β → α} (hf : Measurable f) {s : Set α} :
Measurable fun x => infEdist (f x) s :=
measurable_infEdist.comp hf
#align measurable.inf_edist Measurable.infEdist
open Metric EMetric
theorem tendsto_measure_cthickening {μ : Measure α} {s : Set α}
(hs : ∃ R > 0, μ (cthickening R s) ≠ ∞) :
Tendsto (fun r => μ (cthickening r s)) (𝓝 0) (𝓝 (μ (closure s))) := by
have A : Tendsto (fun r => μ (cthickening r s)) (𝓝[Ioi 0] 0) (𝓝 (μ (closure s))) := by
rw [closure_eq_iInter_cthickening]
exact
tendsto_measure_biInter_gt (fun r _ => isClosed_cthickening.measurableSet)
(fun i j _ ij => cthickening_mono ij _) hs
have B : Tendsto (fun r => μ (cthickening r s)) (𝓝[Iic 0] 0) (𝓝 (μ (closure s))) := by
apply Tendsto.congr' _ tendsto_const_nhds
filter_upwards [self_mem_nhdsWithin (α := ℝ)] with _ hr
rw [cthickening_of_nonpos hr]
convert B.sup A
exact (nhds_left_sup_nhds_right' 0).symm
#align tendsto_measure_cthickening tendsto_measure_cthickening
theorem tendsto_measure_cthickening_of_isClosed {μ : Measure α} {s : Set α}
(hs : ∃ R > 0, μ (cthickening R s) ≠ ∞) (h's : IsClosed s) :
Tendsto (fun r => μ (cthickening r s)) (𝓝 0) (𝓝 (μ s)) := by
convert tendsto_measure_cthickening hs
exact h's.closure_eq.symm
#align tendsto_measure_cthickening_of_is_closed tendsto_measure_cthickening_of_isClosed
theorem tendsto_measure_thickening {μ : Measure α} {s : Set α}
(hs : ∃ R > 0, μ (thickening R s) ≠ ∞) :
Tendsto (fun r => μ (thickening r s)) (𝓝[>] 0) (𝓝 (μ (closure s))) := by
rw [closure_eq_iInter_thickening]
exact tendsto_measure_biInter_gt (fun r _ => isOpen_thickening.measurableSet)
(fun i j _ ij => thickening_mono ij _) hs
| Mathlib/MeasureTheory/Constructions/BorelSpace/Metric.lean | 177 | 181 | theorem tendsto_measure_thickening_of_isClosed {μ : Measure α} {s : Set α}
(hs : ∃ R > 0, μ (thickening R s) ≠ ∞) (h's : IsClosed s) :
Tendsto (fun r => μ (thickening r s)) (𝓝[>] 0) (𝓝 (μ s)) := by |
convert tendsto_measure_thickening hs
exact h's.closure_eq.symm
|
import Mathlib.Analysis.Calculus.ContDiff.Defs
import Mathlib.Analysis.Calculus.MeanValue
#align_import analysis.calculus.cont_diff from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe"
noncomputable section
open Set Fin Filter Function
open scoped NNReal Topology
section Real
variable {n : ℕ∞} {𝕂 : Type*} [RCLike 𝕂] {E' : Type*} [NormedAddCommGroup E'] [NormedSpace 𝕂 E']
{F' : Type*} [NormedAddCommGroup F'] [NormedSpace 𝕂 F']
theorem HasFTaylorSeriesUpToOn.hasStrictFDerivAt {s : Set E'} {f : E' → F'} {x : E'}
{p : E' → FormalMultilinearSeries 𝕂 E' F'} (hf : HasFTaylorSeriesUpToOn n f p s) (hn : 1 ≤ n)
(hs : s ∈ 𝓝 x) : HasStrictFDerivAt f ((continuousMultilinearCurryFin1 𝕂 E' F') (p x 1)) x :=
hasStrictFDerivAt_of_hasFDerivAt_of_continuousAt (hf.eventually_hasFDerivAt hn hs) <|
(continuousMultilinearCurryFin1 𝕂 E' F').continuousAt.comp <| (hf.cont 1 hn).continuousAt hs
#align has_ftaylor_series_up_to_on.has_strict_fderiv_at HasFTaylorSeriesUpToOn.hasStrictFDerivAt
theorem ContDiffAt.hasStrictFDerivAt' {f : E' → F'} {f' : E' →L[𝕂] F'} {x : E'}
(hf : ContDiffAt 𝕂 n f x) (hf' : HasFDerivAt f f' x) (hn : 1 ≤ n) :
HasStrictFDerivAt f f' x := by
rcases hf 1 hn with ⟨u, H, p, hp⟩
simp only [nhdsWithin_univ, mem_univ, insert_eq_of_mem] at H
have := hp.hasStrictFDerivAt le_rfl H
rwa [hf'.unique this.hasFDerivAt]
#align cont_diff_at.has_strict_fderiv_at' ContDiffAt.hasStrictFDerivAt'
theorem ContDiffAt.hasStrictDerivAt' {f : 𝕂 → F'} {f' : F'} {x : 𝕂} (hf : ContDiffAt 𝕂 n f x)
(hf' : HasDerivAt f f' x) (hn : 1 ≤ n) : HasStrictDerivAt f f' x :=
hf.hasStrictFDerivAt' hf' hn
#align cont_diff_at.has_strict_deriv_at' ContDiffAt.hasStrictDerivAt'
theorem ContDiffAt.hasStrictFDerivAt {f : E' → F'} {x : E'} (hf : ContDiffAt 𝕂 n f x) (hn : 1 ≤ n) :
HasStrictFDerivAt f (fderiv 𝕂 f x) x :=
hf.hasStrictFDerivAt' (hf.differentiableAt hn).hasFDerivAt hn
#align cont_diff_at.has_strict_fderiv_at ContDiffAt.hasStrictFDerivAt
theorem ContDiffAt.hasStrictDerivAt {f : 𝕂 → F'} {x : 𝕂} (hf : ContDiffAt 𝕂 n f x) (hn : 1 ≤ n) :
HasStrictDerivAt f (deriv f x) x :=
(hf.hasStrictFDerivAt hn).hasStrictDerivAt
#align cont_diff_at.has_strict_deriv_at ContDiffAt.hasStrictDerivAt
theorem ContDiff.hasStrictFDerivAt {f : E' → F'} {x : E'} (hf : ContDiff 𝕂 n f) (hn : 1 ≤ n) :
HasStrictFDerivAt f (fderiv 𝕂 f x) x :=
hf.contDiffAt.hasStrictFDerivAt hn
#align cont_diff.has_strict_fderiv_at ContDiff.hasStrictFDerivAt
theorem ContDiff.hasStrictDerivAt {f : 𝕂 → F'} {x : 𝕂} (hf : ContDiff 𝕂 n f) (hn : 1 ≤ n) :
HasStrictDerivAt f (deriv f x) x :=
hf.contDiffAt.hasStrictDerivAt hn
#align cont_diff.has_strict_deriv_at ContDiff.hasStrictDerivAt
theorem HasFTaylorSeriesUpToOn.exists_lipschitzOnWith_of_nnnorm_lt {E F : Type*}
[NormedAddCommGroup E] [NormedSpace ℝ E] [NormedAddCommGroup F] [NormedSpace ℝ F] {f : E → F}
{p : E → FormalMultilinearSeries ℝ E F} {s : Set E} {x : E}
(hf : HasFTaylorSeriesUpToOn 1 f p (insert x s)) (hs : Convex ℝ s) (K : ℝ≥0)
(hK : ‖p x 1‖₊ < K) : ∃ t ∈ 𝓝[s] x, LipschitzOnWith K f t := by
set f' := fun y => continuousMultilinearCurryFin1 ℝ E F (p y 1)
have hder : ∀ y ∈ s, HasFDerivWithinAt f (f' y) s y := fun y hy =>
(hf.hasFDerivWithinAt le_rfl (subset_insert x s hy)).mono (subset_insert x s)
have hcont : ContinuousWithinAt f' s x :=
(continuousMultilinearCurryFin1 ℝ E F).continuousAt.comp_continuousWithinAt
((hf.cont _ le_rfl _ (mem_insert _ _)).mono (subset_insert x s))
replace hK : ‖f' x‖₊ < K := by simpa only [f', LinearIsometryEquiv.nnnorm_map]
exact
hs.exists_nhdsWithin_lipschitzOnWith_of_hasFDerivWithinAt_of_nnnorm_lt
(eventually_nhdsWithin_iff.2 <| eventually_of_forall hder) hcont K hK
#align has_ftaylor_series_up_to_on.exists_lipschitz_on_with_of_nnnorm_lt HasFTaylorSeriesUpToOn.exists_lipschitzOnWith_of_nnnorm_lt
theorem HasFTaylorSeriesUpToOn.exists_lipschitzOnWith {E F : Type*} [NormedAddCommGroup E]
[NormedSpace ℝ E] [NormedAddCommGroup F] [NormedSpace ℝ F] {f : E → F}
{p : E → FormalMultilinearSeries ℝ E F} {s : Set E} {x : E}
(hf : HasFTaylorSeriesUpToOn 1 f p (insert x s)) (hs : Convex ℝ s) :
∃ K, ∃ t ∈ 𝓝[s] x, LipschitzOnWith K f t :=
(exists_gt _).imp <| hf.exists_lipschitzOnWith_of_nnnorm_lt hs
#align has_ftaylor_series_up_to_on.exists_lipschitz_on_with HasFTaylorSeriesUpToOn.exists_lipschitzOnWith
| Mathlib/Analysis/Calculus/ContDiff/RCLike.lean | 116 | 127 | theorem ContDiffWithinAt.exists_lipschitzOnWith {E F : Type*} [NormedAddCommGroup E]
[NormedSpace ℝ E] [NormedAddCommGroup F] [NormedSpace ℝ F] {f : E → F} {s : Set E} {x : E}
(hf : ContDiffWithinAt ℝ 1 f s x) (hs : Convex ℝ s) :
∃ K : ℝ≥0, ∃ t ∈ 𝓝[s] x, LipschitzOnWith K f t := by |
rcases hf 1 le_rfl with ⟨t, hst, p, hp⟩
rcases Metric.mem_nhdsWithin_iff.mp hst with ⟨ε, ε0, hε⟩
replace hp : HasFTaylorSeriesUpToOn 1 f p (Metric.ball x ε ∩ insert x s) := hp.mono hε
clear hst hε t
rw [← insert_eq_of_mem (Metric.mem_ball_self ε0), ← insert_inter_distrib] at hp
rcases hp.exists_lipschitzOnWith ((convex_ball _ _).inter hs) with ⟨K, t, hst, hft⟩
rw [inter_comm, ← nhdsWithin_restrict' _ (Metric.ball_mem_nhds _ ε0)] at hst
exact ⟨K, t, hst, hft⟩
|
import Mathlib.Topology.Algebra.Algebra
import Mathlib.Analysis.InnerProductSpace.Basic
#align_import analysis.inner_product_space.of_norm from "leanprover-community/mathlib"@"baa88307f3e699fa7054ef04ec79fa4f056169cb"
open RCLike
open scoped ComplexConjugate
variable {𝕜 : Type*} [RCLike 𝕜] (E : Type*) [NormedAddCommGroup E]
class InnerProductSpaceable : Prop where
parallelogram_identity :
∀ x y : E, ‖x + y‖ * ‖x + y‖ + ‖x - y‖ * ‖x - y‖ = 2 * (‖x‖ * ‖x‖ + ‖y‖ * ‖y‖)
#align inner_product_spaceable InnerProductSpaceable
variable (𝕜) {E}
theorem InnerProductSpace.toInnerProductSpaceable [InnerProductSpace 𝕜 E] :
InnerProductSpaceable E :=
⟨parallelogram_law_with_norm 𝕜⟩
#align inner_product_space.to_inner_product_spaceable InnerProductSpace.toInnerProductSpaceable
-- See note [lower instance priority]
instance (priority := 100) InnerProductSpace.toInnerProductSpaceable_ofReal
[InnerProductSpace ℝ E] : InnerProductSpaceable E :=
⟨parallelogram_law_with_norm ℝ⟩
#align inner_product_space.to_inner_product_spaceable_of_real InnerProductSpace.toInnerProductSpaceable_ofReal
variable [NormedSpace 𝕜 E]
local notation "𝓚" => algebraMap ℝ 𝕜
private noncomputable def inner_ (x y : E) : 𝕜 :=
4⁻¹ * (𝓚 ‖x + y‖ * 𝓚 ‖x + y‖ - 𝓚 ‖x - y‖ * 𝓚 ‖x - y‖ +
(I : 𝕜) * 𝓚 ‖(I : 𝕜) • x + y‖ * 𝓚 ‖(I : 𝕜) • x + y‖ -
(I : 𝕜) * 𝓚 ‖(I : 𝕜) • x - y‖ * 𝓚 ‖(I : 𝕜) • x - y‖)
namespace InnerProductSpaceable
variable {𝕜} (E)
-- Porting note: prime added to avoid clashing with public `innerProp`
private def innerProp' (r : 𝕜) : Prop :=
∀ x y : E, inner_ 𝕜 (r • x) y = conj r * inner_ 𝕜 x y
variable {E}
| Mathlib/Analysis/InnerProductSpace/OfNorm.lean | 105 | 117 | theorem innerProp_neg_one : innerProp' E ((-1 : ℤ) : 𝕜) := by |
intro x y
simp only [inner_, neg_mul_eq_neg_mul, one_mul, Int.cast_one, one_smul, RingHom.map_one, map_neg,
Int.cast_neg, neg_smul, neg_one_mul]
rw [neg_mul_comm]
congr 1
have h₁ : ‖-x - y‖ = ‖x + y‖ := by rw [← neg_add', norm_neg]
have h₂ : ‖-x + y‖ = ‖x - y‖ := by rw [← neg_sub, norm_neg, sub_eq_neg_add]
have h₃ : ‖(I : 𝕜) • -x + y‖ = ‖(I : 𝕜) • x - y‖ := by
rw [← neg_sub, norm_neg, sub_eq_neg_add, ← smul_neg]
have h₄ : ‖(I : 𝕜) • -x - y‖ = ‖(I : 𝕜) • x + y‖ := by rw [smul_neg, ← neg_add', norm_neg]
rw [h₁, h₂, h₃, h₄]
ring
|
import Mathlib.AlgebraicTopology.SplitSimplicialObject
import Mathlib.AlgebraicTopology.DoldKan.Degeneracies
import Mathlib.AlgebraicTopology.DoldKan.FunctorN
#align_import algebraic_topology.dold_kan.split_simplicial_object from "leanprover-community/mathlib"@"32a7e535287f9c73f2e4d2aef306a39190f0b504"
open CategoryTheory CategoryTheory.Limits CategoryTheory.Category CategoryTheory.Preadditive
CategoryTheory.Idempotents Opposite AlgebraicTopology AlgebraicTopology.DoldKan
Simplicial DoldKan
namespace SimplicialObject
namespace Splitting
variable {C : Type*} [Category C] {X : SimplicialObject C}
(s : Splitting X)
noncomputable def πSummand [HasZeroMorphisms C] {Δ : SimplexCategoryᵒᵖ} (A : IndexSet Δ) :
X.obj Δ ⟶ s.N A.1.unop.len :=
s.desc Δ (fun B => by
by_cases h : B = A
· exact eqToHom (by subst h; rfl)
· exact 0)
#align simplicial_object.splitting.π_summand SimplicialObject.Splitting.πSummand
@[reassoc (attr := simp)]
| Mathlib/AlgebraicTopology/DoldKan/SplitSimplicialObject.lean | 47 | 49 | theorem cofan_inj_πSummand_eq_id [HasZeroMorphisms C] {Δ : SimplexCategoryᵒᵖ} (A : IndexSet Δ) :
(s.cofan Δ).inj A ≫ s.πSummand A = 𝟙 _ := by |
simp [πSummand]
|
import Mathlib.GroupTheory.Coprod.Basic
import Mathlib.GroupTheory.Complement
open Monoid Coprod Multiplicative Subgroup Function
def HNNExtension.con (G : Type*) [Group G] (A B : Subgroup G) (φ : A ≃* B) :
Con (G ∗ Multiplicative ℤ) :=
conGen (fun x y => ∃ (a : A),
x = inr (ofAdd 1) * inl (a : G) ∧
y = inl (φ a : G) * inr (ofAdd 1))
def HNNExtension (G : Type*) [Group G] (A B : Subgroup G) (φ : A ≃* B) : Type _ :=
(HNNExtension.con G A B φ).Quotient
variable {G : Type*} [Group G] {A B : Subgroup G} {φ : A ≃* B} {H : Type*}
[Group H] {M : Type*} [Monoid M]
instance : Group (HNNExtension G A B φ) := by
delta HNNExtension; infer_instance
namespace HNNExtension
def of : G →* HNNExtension G A B φ :=
(HNNExtension.con G A B φ).mk'.comp inl
def t : HNNExtension G A B φ :=
(HNNExtension.con G A B φ).mk'.comp inr (ofAdd 1)
theorem t_mul_of (a : A) :
t * (of (a : G) : HNNExtension G A B φ) = of (φ a : G) * t :=
(Con.eq _).2 <| ConGen.Rel.of _ _ <| ⟨a, by simp⟩
theorem of_mul_t (b : B) :
(of (b : G) : HNNExtension G A B φ) * t = t * of (φ.symm b : G) := by
rw [t_mul_of]; simp
theorem equiv_eq_conj (a : A) :
(of (φ a : G) : HNNExtension G A B φ) = t * of (a : G) * t⁻¹ := by
rw [t_mul_of]; simp
theorem equiv_symm_eq_conj (b : B) :
(of (φ.symm b : G) : HNNExtension G A B φ) = t⁻¹ * of (b : G) * t := by
rw [mul_assoc, of_mul_t]; simp
theorem inv_t_mul_of (b : B) :
t⁻¹ * (of (b : G) : HNNExtension G A B φ) = of (φ.symm b : G) * t⁻¹ := by
rw [equiv_symm_eq_conj]; simp
| Mathlib/GroupTheory/HNNExtension.lean | 85 | 87 | theorem of_mul_inv_t (a : A) :
(of (a : G) : HNNExtension G A B φ) * t⁻¹ = t⁻¹ * of (φ a : G) := by |
rw [equiv_eq_conj]; simp [mul_assoc]
|
import Mathlib.Data.Set.Prod
#align_import data.set.n_ary from "leanprover-community/mathlib"@"5e526d18cea33550268dcbbddcb822d5cde40654"
open Function
namespace Set
variable {α α' β β' γ γ' δ δ' ε ε' ζ ζ' ν : Type*} {f f' : α → β → γ} {g g' : α → β → γ → δ}
variable {s s' : Set α} {t t' : Set β} {u u' : Set γ} {v : Set δ} {a a' : α} {b b' : β} {c c' : γ}
{d d' : δ}
theorem mem_image2_iff (hf : Injective2 f) : f a b ∈ image2 f s t ↔ a ∈ s ∧ b ∈ t :=
⟨by
rintro ⟨a', ha', b', hb', h⟩
rcases hf h with ⟨rfl, rfl⟩
exact ⟨ha', hb'⟩, fun ⟨ha, hb⟩ => mem_image2_of_mem ha hb⟩
#align set.mem_image2_iff Set.mem_image2_iff
theorem image2_subset (hs : s ⊆ s') (ht : t ⊆ t') : image2 f s t ⊆ image2 f s' t' := by
rintro _ ⟨a, ha, b, hb, rfl⟩
exact mem_image2_of_mem (hs ha) (ht hb)
#align set.image2_subset Set.image2_subset
theorem image2_subset_left (ht : t ⊆ t') : image2 f s t ⊆ image2 f s t' :=
image2_subset Subset.rfl ht
#align set.image2_subset_left Set.image2_subset_left
theorem image2_subset_right (hs : s ⊆ s') : image2 f s t ⊆ image2 f s' t :=
image2_subset hs Subset.rfl
#align set.image2_subset_right Set.image2_subset_right
theorem image_subset_image2_left (hb : b ∈ t) : (fun a => f a b) '' s ⊆ image2 f s t :=
forall_mem_image.2 fun _ ha => mem_image2_of_mem ha hb
#align set.image_subset_image2_left Set.image_subset_image2_left
theorem image_subset_image2_right (ha : a ∈ s) : f a '' t ⊆ image2 f s t :=
forall_mem_image.2 fun _ => mem_image2_of_mem ha
#align set.image_subset_image2_right Set.image_subset_image2_right
theorem forall_image2_iff {p : γ → Prop} :
(∀ z ∈ image2 f s t, p z) ↔ ∀ x ∈ s, ∀ y ∈ t, p (f x y) :=
⟨fun h x hx y hy => h _ ⟨x, hx, y, hy, rfl⟩, fun h _ ⟨x, hx, y, hy, hz⟩ => hz ▸ h x hx y hy⟩
#align set.forall_image2_iff Set.forall_image2_iff
@[simp]
theorem image2_subset_iff {u : Set γ} : image2 f s t ⊆ u ↔ ∀ x ∈ s, ∀ y ∈ t, f x y ∈ u :=
forall_image2_iff
#align set.image2_subset_iff Set.image2_subset_iff
theorem image2_subset_iff_left : image2 f s t ⊆ u ↔ ∀ a ∈ s, (fun b => f a b) '' t ⊆ u := by
simp_rw [image2_subset_iff, image_subset_iff, subset_def, mem_preimage]
#align set.image2_subset_iff_left Set.image2_subset_iff_left
theorem image2_subset_iff_right : image2 f s t ⊆ u ↔ ∀ b ∈ t, (fun a => f a b) '' s ⊆ u := by
simp_rw [image2_subset_iff, image_subset_iff, subset_def, mem_preimage, @forall₂_swap α]
#align set.image2_subset_iff_right Set.image2_subset_iff_right
variable (f)
-- Porting note: Removing `simp` - LHS does not simplify
lemma image_prod : (fun x : α × β ↦ f x.1 x.2) '' s ×ˢ t = image2 f s t :=
ext fun _ ↦ by simp [and_assoc]
#align set.image_prod Set.image_prod
@[simp] lemma image_uncurry_prod (s : Set α) (t : Set β) : uncurry f '' s ×ˢ t = image2 f s t :=
image_prod _
#align set.image_uncurry_prod Set.image_uncurry_prod
@[simp] lemma image2_mk_eq_prod : image2 Prod.mk s t = s ×ˢ t := ext <| by simp
#align set.image2_mk_eq_prod Set.image2_mk_eq_prod
-- Porting note: Removing `simp` - LHS does not simplify
lemma image2_curry (f : α × β → γ) (s : Set α) (t : Set β) :
image2 (fun a b ↦ f (a, b)) s t = f '' s ×ˢ t := by
simp [← image_uncurry_prod, uncurry]
#align set.image2_curry Set.image2_curry
| Mathlib/Data/Set/NAry.lean | 96 | 98 | theorem image2_swap (s : Set α) (t : Set β) : image2 f s t = image2 (fun a b => f b a) t s := by |
ext
constructor <;> rintro ⟨a, ha, b, hb, rfl⟩ <;> exact ⟨b, hb, a, ha, rfl⟩
|
import Mathlib.Order.WellFounded
import Mathlib.Tactic.Common
#align_import data.pi.lex from "leanprover-community/mathlib"@"6623e6af705e97002a9054c1c05a980180276fc1"
assert_not_exists Monoid
variable {ι : Type*} {β : ι → Type*} (r : ι → ι → Prop) (s : ∀ {i}, β i → β i → Prop)
namespace Pi
protected def Lex (x y : ∀ i, β i) : Prop :=
∃ i, (∀ j, r j i → x j = y j) ∧ s (x i) (y i)
#align pi.lex Pi.Lex
notation3 (prettyPrint := false) "Πₗ "(...)", "r:(scoped p => Lex (∀ i, p i)) => r
@[simp]
theorem toLex_apply (x : ∀ i, β i) (i : ι) : toLex x i = x i :=
rfl
#align pi.to_lex_apply Pi.toLex_apply
@[simp]
theorem ofLex_apply (x : Lex (∀ i, β i)) (i : ι) : ofLex x i = x i :=
rfl
#align pi.of_lex_apply Pi.ofLex_apply
theorem lex_lt_of_lt_of_preorder [∀ i, Preorder (β i)] {r} (hwf : WellFounded r) {x y : ∀ i, β i}
(hlt : x < y) : ∃ i, (∀ j, r j i → x j ≤ y j ∧ y j ≤ x j) ∧ x i < y i :=
let h' := Pi.lt_def.1 hlt
let ⟨i, hi, hl⟩ := hwf.has_min _ h'.2
⟨i, fun j hj => ⟨h'.1 j, not_not.1 fun h => hl j (lt_of_le_not_le (h'.1 j) h) hj⟩, hi⟩
#align pi.lex_lt_of_lt_of_preorder Pi.lex_lt_of_lt_of_preorder
theorem lex_lt_of_lt [∀ i, PartialOrder (β i)] {r} (hwf : WellFounded r) {x y : ∀ i, β i}
(hlt : x < y) : Pi.Lex r (@fun i => (· < ·)) x y := by
simp_rw [Pi.Lex, le_antisymm_iff]
exact lex_lt_of_lt_of_preorder hwf hlt
#align pi.lex_lt_of_lt Pi.lex_lt_of_lt
theorem isTrichotomous_lex [∀ i, IsTrichotomous (β i) s] (wf : WellFounded r) :
IsTrichotomous (∀ i, β i) (Pi.Lex r @s) :=
{ trichotomous := fun a b => by
rcases eq_or_ne a b with hab | hab
· exact Or.inr (Or.inl hab)
· rw [Function.ne_iff] at hab
let i := wf.min _ hab
have hri : ∀ j, r j i → a j = b j := by
intro j
rw [← not_imp_not]
exact fun h' => wf.not_lt_min _ _ h'
have hne : a i ≠ b i := wf.min_mem _ hab
cases' trichotomous_of s (a i) (b i) with hi hi
exacts [Or.inl ⟨i, hri, hi⟩,
Or.inr <| Or.inr <| ⟨i, fun j hj => (hri j hj).symm, hi.resolve_left hne⟩] }
#align pi.is_trichotomous_lex Pi.isTrichotomous_lex
instance [LT ι] [∀ a, LT (β a)] : LT (Lex (∀ i, β i)) :=
⟨Pi.Lex (· < ·) @fun _ => (· < ·)⟩
instance Lex.isStrictOrder [LinearOrder ι] [∀ a, PartialOrder (β a)] :
IsStrictOrder (Lex (∀ i, β i)) (· < ·) where
irrefl := fun a ⟨k, _, hk₂⟩ => lt_irrefl (a k) hk₂
trans := by
rintro a b c ⟨N₁, lt_N₁, a_lt_b⟩ ⟨N₂, lt_N₂, b_lt_c⟩
rcases lt_trichotomy N₁ N₂ with (H | rfl | H)
exacts [⟨N₁, fun j hj => (lt_N₁ _ hj).trans (lt_N₂ _ <| hj.trans H), lt_N₂ _ H ▸ a_lt_b⟩,
⟨N₁, fun j hj => (lt_N₁ _ hj).trans (lt_N₂ _ hj), a_lt_b.trans b_lt_c⟩,
⟨N₂, fun j hj => (lt_N₁ _ (hj.trans H)).trans (lt_N₂ _ hj), (lt_N₁ _ H).symm ▸ b_lt_c⟩]
#align pi.lex.is_strict_order Pi.Lex.isStrictOrder
instance [LinearOrder ι] [∀ a, PartialOrder (β a)] : PartialOrder (Lex (∀ i, β i)) :=
partialOrderOfSO (· < ·)
noncomputable instance [LinearOrder ι] [IsWellOrder ι (· < ·)] [∀ a, LinearOrder (β a)] :
LinearOrder (Lex (∀ i, β i)) :=
@linearOrderOfSTO (Πₗ i, β i) (· < ·)
{ trichotomous := (isTrichotomous_lex _ _ IsWellFounded.wf).1 } (Classical.decRel _)
section PartialOrder
variable [LinearOrder ι] [IsWellOrder ι (· < ·)] [∀ i, PartialOrder (β i)] {x y : ∀ i, β i} {i : ι}
{a : β i}
open Function
theorem toLex_monotone : Monotone (@toLex (∀ i, β i)) := fun a b h =>
or_iff_not_imp_left.2 fun hne =>
let ⟨i, hi, hl⟩ := IsWellFounded.wf.has_min (r := (· < ·)) { i | a i ≠ b i }
(Function.ne_iff.1 hne)
⟨i, fun j hj => by
contrapose! hl
exact ⟨j, hl, hj⟩, (h i).lt_of_ne hi⟩
#align pi.to_lex_monotone Pi.toLex_monotone
theorem toLex_strictMono : StrictMono (@toLex (∀ i, β i)) := fun a b h =>
let ⟨i, hi, hl⟩ := IsWellFounded.wf.has_min (r := (· < ·)) { i | a i ≠ b i }
(Function.ne_iff.1 h.ne)
⟨i, fun j hj => by
contrapose! hl
exact ⟨j, hl, hj⟩, (h.le i).lt_of_ne hi⟩
#align pi.to_lex_strict_mono Pi.toLex_strictMono
@[simp]
theorem lt_toLex_update_self_iff : toLex x < toLex (update x i a) ↔ x i < a := by
refine ⟨?_, fun h => toLex_strictMono <| lt_update_self_iff.2 h⟩
rintro ⟨j, hj, h⟩
dsimp at h
obtain rfl : j = i := by
by_contra H
rw [update_noteq H] at h
exact h.false
rwa [update_same] at h
#align pi.lt_to_lex_update_self_iff Pi.lt_toLex_update_self_iff
@[simp]
theorem toLex_update_lt_self_iff : toLex (update x i a) < toLex x ↔ a < x i := by
refine ⟨?_, fun h => toLex_strictMono <| update_lt_self_iff.2 h⟩
rintro ⟨j, hj, h⟩
dsimp at h
obtain rfl : j = i := by
by_contra H
rw [update_noteq H] at h
exact h.false
rwa [update_same] at h
#align pi.to_lex_update_lt_self_iff Pi.toLex_update_lt_self_iff
@[simp]
| Mathlib/Order/PiLex.lean | 160 | 161 | theorem le_toLex_update_self_iff : toLex x ≤ toLex (update x i a) ↔ x i ≤ a := by |
simp_rw [le_iff_lt_or_eq, lt_toLex_update_self_iff, toLex_inj, eq_update_self_iff]
|
import Mathlib.Data.Complex.Module
import Mathlib.Data.Complex.Order
import Mathlib.Data.Complex.Exponential
import Mathlib.Analysis.RCLike.Basic
import Mathlib.Topology.Algebra.InfiniteSum.Module
import Mathlib.Topology.Instances.RealVectorSpace
#align_import analysis.complex.basic from "leanprover-community/mathlib"@"3f655f5297b030a87d641ad4e825af8d9679eb0b"
assert_not_exists Absorbs
noncomputable section
namespace Complex
variable {z : ℂ}
open ComplexConjugate Topology Filter
instance : Norm ℂ :=
⟨abs⟩
@[simp]
theorem norm_eq_abs (z : ℂ) : ‖z‖ = abs z :=
rfl
#align complex.norm_eq_abs Complex.norm_eq_abs
lemma norm_I : ‖I‖ = 1 := abs_I
theorem norm_exp_ofReal_mul_I (t : ℝ) : ‖exp (t * I)‖ = 1 := by
simp only [norm_eq_abs, abs_exp_ofReal_mul_I]
set_option linter.uppercaseLean3 false in
#align complex.norm_exp_of_real_mul_I Complex.norm_exp_ofReal_mul_I
instance instNormedAddCommGroup : NormedAddCommGroup ℂ :=
AddGroupNorm.toNormedAddCommGroup
{ abs with
map_zero' := map_zero abs
neg' := abs.map_neg
eq_zero_of_map_eq_zero' := fun _ => abs.eq_zero.1 }
instance : NormedField ℂ where
dist_eq _ _ := rfl
norm_mul' := map_mul abs
instance : DenselyNormedField ℂ where
lt_norm_lt r₁ r₂ h₀ hr :=
let ⟨x, h⟩ := exists_between hr
⟨x, by rwa [norm_eq_abs, abs_ofReal, abs_of_pos (h₀.trans_lt h.1)]⟩
instance {R : Type*} [NormedField R] [NormedAlgebra R ℝ] : NormedAlgebra R ℂ where
norm_smul_le r x := by
rw [← algebraMap_smul ℝ r x, real_smul, norm_mul, norm_eq_abs, abs_ofReal, ← Real.norm_eq_abs,
norm_algebraMap']
variable {E : Type*} [SeminormedAddCommGroup E] [NormedSpace ℂ E]
-- see Note [lower instance priority]
instance (priority := 900) _root_.NormedSpace.complexToReal : NormedSpace ℝ E :=
NormedSpace.restrictScalars ℝ ℂ E
#align normed_space.complex_to_real NormedSpace.complexToReal
-- see Note [lower instance priority]
instance (priority := 900) _root_.NormedAlgebra.complexToReal {A : Type*} [SeminormedRing A]
[NormedAlgebra ℂ A] : NormedAlgebra ℝ A :=
NormedAlgebra.restrictScalars ℝ ℂ A
theorem dist_eq (z w : ℂ) : dist z w = abs (z - w) :=
rfl
#align complex.dist_eq Complex.dist_eq
theorem dist_eq_re_im (z w : ℂ) : dist z w = √((z.re - w.re) ^ 2 + (z.im - w.im) ^ 2) := by
rw [sq, sq]
rfl
#align complex.dist_eq_re_im Complex.dist_eq_re_im
@[simp]
theorem dist_mk (x₁ y₁ x₂ y₂ : ℝ) :
dist (mk x₁ y₁) (mk x₂ y₂) = √((x₁ - x₂) ^ 2 + (y₁ - y₂) ^ 2) :=
dist_eq_re_im _ _
#align complex.dist_mk Complex.dist_mk
theorem dist_of_re_eq {z w : ℂ} (h : z.re = w.re) : dist z w = dist z.im w.im := by
rw [dist_eq_re_im, h, sub_self, zero_pow two_ne_zero, zero_add, Real.sqrt_sq_eq_abs, Real.dist_eq]
#align complex.dist_of_re_eq Complex.dist_of_re_eq
theorem nndist_of_re_eq {z w : ℂ} (h : z.re = w.re) : nndist z w = nndist z.im w.im :=
NNReal.eq <| dist_of_re_eq h
#align complex.nndist_of_re_eq Complex.nndist_of_re_eq
theorem edist_of_re_eq {z w : ℂ} (h : z.re = w.re) : edist z w = edist z.im w.im := by
rw [edist_nndist, edist_nndist, nndist_of_re_eq h]
#align complex.edist_of_re_eq Complex.edist_of_re_eq
theorem dist_of_im_eq {z w : ℂ} (h : z.im = w.im) : dist z w = dist z.re w.re := by
rw [dist_eq_re_im, h, sub_self, zero_pow two_ne_zero, add_zero, Real.sqrt_sq_eq_abs, Real.dist_eq]
#align complex.dist_of_im_eq Complex.dist_of_im_eq
theorem nndist_of_im_eq {z w : ℂ} (h : z.im = w.im) : nndist z w = nndist z.re w.re :=
NNReal.eq <| dist_of_im_eq h
#align complex.nndist_of_im_eq Complex.nndist_of_im_eq
theorem edist_of_im_eq {z w : ℂ} (h : z.im = w.im) : edist z w = edist z.re w.re := by
rw [edist_nndist, edist_nndist, nndist_of_im_eq h]
#align complex.edist_of_im_eq Complex.edist_of_im_eq
theorem dist_conj_self (z : ℂ) : dist (conj z) z = 2 * |z.im| := by
rw [dist_of_re_eq (conj_re z), conj_im, dist_comm, Real.dist_eq, sub_neg_eq_add, ← two_mul,
_root_.abs_mul, abs_of_pos (zero_lt_two' ℝ)]
#align complex.dist_conj_self Complex.dist_conj_self
theorem nndist_conj_self (z : ℂ) : nndist (conj z) z = 2 * Real.nnabs z.im :=
NNReal.eq <| by rw [← dist_nndist, NNReal.coe_mul, NNReal.coe_two, Real.coe_nnabs, dist_conj_self]
#align complex.nndist_conj_self Complex.nndist_conj_self
theorem dist_self_conj (z : ℂ) : dist z (conj z) = 2 * |z.im| := by rw [dist_comm, dist_conj_self]
#align complex.dist_self_conj Complex.dist_self_conj
theorem nndist_self_conj (z : ℂ) : nndist z (conj z) = 2 * Real.nnabs z.im := by
rw [nndist_comm, nndist_conj_self]
#align complex.nndist_self_conj Complex.nndist_self_conj
@[simp 1100]
theorem comap_abs_nhds_zero : comap abs (𝓝 0) = 𝓝 0 :=
comap_norm_nhds_zero
#align complex.comap_abs_nhds_zero Complex.comap_abs_nhds_zero
theorem norm_real (r : ℝ) : ‖(r : ℂ)‖ = ‖r‖ :=
abs_ofReal _
#align complex.norm_real Complex.norm_real
@[simp 1100]
theorem norm_rat (r : ℚ) : ‖(r : ℂ)‖ = |(r : ℝ)| := by
rw [← ofReal_ratCast]
exact norm_real _
#align complex.norm_rat Complex.norm_rat
@[simp 1100]
theorem norm_nat (n : ℕ) : ‖(n : ℂ)‖ = n :=
abs_natCast _
#align complex.norm_nat Complex.norm_nat
@[simp 1100]
lemma norm_int {n : ℤ} : ‖(n : ℂ)‖ = |(n : ℝ)| := abs_intCast n
#align complex.norm_int Complex.norm_int
theorem norm_int_of_nonneg {n : ℤ} (hn : 0 ≤ n) : ‖(n : ℂ)‖ = n := by
rw [norm_int, ← Int.cast_abs, _root_.abs_of_nonneg hn]
#align complex.norm_int_of_nonneg Complex.norm_int_of_nonneg
lemma normSq_eq_norm_sq (z : ℂ) : normSq z = ‖z‖ ^ 2 := by
rw [normSq_eq_abs, norm_eq_abs]
@[continuity]
theorem continuous_abs : Continuous abs :=
continuous_norm
#align complex.continuous_abs Complex.continuous_abs
@[continuity]
theorem continuous_normSq : Continuous normSq := by
simpa [← normSq_eq_abs] using continuous_abs.pow 2
#align complex.continuous_norm_sq Complex.continuous_normSq
@[simp, norm_cast]
theorem nnnorm_real (r : ℝ) : ‖(r : ℂ)‖₊ = ‖r‖₊ :=
Subtype.ext <| norm_real r
#align complex.nnnorm_real Complex.nnnorm_real
@[simp, norm_cast]
theorem nnnorm_nat (n : ℕ) : ‖(n : ℂ)‖₊ = n :=
Subtype.ext <| by simp
#align complex.nnnorm_nat Complex.nnnorm_nat
@[simp, norm_cast]
theorem nnnorm_int (n : ℤ) : ‖(n : ℂ)‖₊ = ‖n‖₊ :=
Subtype.ext norm_int
#align complex.nnnorm_int Complex.nnnorm_int
theorem nnnorm_eq_one_of_pow_eq_one {ζ : ℂ} {n : ℕ} (h : ζ ^ n = 1) (hn : n ≠ 0) : ‖ζ‖₊ = 1 :=
(pow_left_inj zero_le' zero_le' hn).1 <| by rw [← nnnorm_pow, h, nnnorm_one, one_pow]
#align complex.nnnorm_eq_one_of_pow_eq_one Complex.nnnorm_eq_one_of_pow_eq_one
theorem norm_eq_one_of_pow_eq_one {ζ : ℂ} {n : ℕ} (h : ζ ^ n = 1) (hn : n ≠ 0) : ‖ζ‖ = 1 :=
congr_arg Subtype.val (nnnorm_eq_one_of_pow_eq_one h hn)
#align complex.norm_eq_one_of_pow_eq_one Complex.norm_eq_one_of_pow_eq_one
theorem equivRealProd_apply_le (z : ℂ) : ‖equivRealProd z‖ ≤ abs z := by
simp [Prod.norm_def, abs_re_le_abs, abs_im_le_abs]
#align complex.equiv_real_prod_apply_le Complex.equivRealProd_apply_le
theorem equivRealProd_apply_le' (z : ℂ) : ‖equivRealProd z‖ ≤ 1 * abs z := by
simpa using equivRealProd_apply_le z
#align complex.equiv_real_prod_apply_le' Complex.equivRealProd_apply_le'
theorem lipschitz_equivRealProd : LipschitzWith 1 equivRealProd := by
simpa using AddMonoidHomClass.lipschitz_of_bound equivRealProdLm 1 equivRealProd_apply_le'
#align complex.lipschitz_equiv_real_prod Complex.lipschitz_equivRealProd
theorem antilipschitz_equivRealProd : AntilipschitzWith (NNReal.sqrt 2) equivRealProd :=
AddMonoidHomClass.antilipschitz_of_bound equivRealProdLm fun z ↦ by
simpa only [Real.coe_sqrt, NNReal.coe_ofNat] using abs_le_sqrt_two_mul_max z
#align complex.antilipschitz_equiv_real_prod Complex.antilipschitz_equivRealProd
theorem uniformEmbedding_equivRealProd : UniformEmbedding equivRealProd :=
antilipschitz_equivRealProd.uniformEmbedding lipschitz_equivRealProd.uniformContinuous
#align complex.uniform_embedding_equiv_real_prod Complex.uniformEmbedding_equivRealProd
instance : CompleteSpace ℂ :=
(completeSpace_congr uniformEmbedding_equivRealProd).mpr inferInstance
instance instT2Space : T2Space ℂ := TopologicalSpace.t2Space_of_metrizableSpace
@[simps! (config := { simpRhs := true }) apply symm_apply_re symm_apply_im]
def equivRealProdCLM : ℂ ≃L[ℝ] ℝ × ℝ :=
equivRealProdLm.toContinuousLinearEquivOfBounds 1 (√2) equivRealProd_apply_le' fun p =>
abs_le_sqrt_two_mul_max (equivRealProd.symm p)
#align complex.equiv_real_prod_clm Complex.equivRealProdCLM
theorem equivRealProdCLM_symm_apply (p : ℝ × ℝ) :
Complex.equivRealProdCLM.symm p = p.1 + p.2 * Complex.I := Complex.equivRealProd_symm_apply p
instance : ProperSpace ℂ :=
(id lipschitz_equivRealProd : LipschitzWith 1 equivRealProdCLM.toHomeomorph).properSpace
theorem tendsto_abs_cocompact_atTop : Tendsto abs (cocompact ℂ) atTop :=
tendsto_norm_cocompact_atTop
#align complex.tendsto_abs_cocompact_at_top Complex.tendsto_abs_cocompact_atTop
| Mathlib/Analysis/Complex/Basic.lean | 262 | 264 | theorem tendsto_normSq_cocompact_atTop : Tendsto normSq (cocompact ℂ) atTop := by |
simpa [mul_self_abs]
using tendsto_abs_cocompact_atTop.atTop_mul_atTop tendsto_abs_cocompact_atTop
|
import Mathlib.Order.Interval.Set.Basic
import Mathlib.Data.Set.NAry
import Mathlib.Order.Directed
#align_import order.bounds.basic from "leanprover-community/mathlib"@"b1abe23ae96fef89ad30d9f4362c307f72a55010"
open Function Set
open OrderDual (toDual ofDual)
universe u v w x
variable {α : Type u} {β : Type v} {γ : Type w} {ι : Sort x}
section
variable [Preorder α] [Preorder β] {s t : Set α} {a b : α}
def upperBounds (s : Set α) : Set α :=
{ x | ∀ ⦃a⦄, a ∈ s → a ≤ x }
#align upper_bounds upperBounds
def lowerBounds (s : Set α) : Set α :=
{ x | ∀ ⦃a⦄, a ∈ s → x ≤ a }
#align lower_bounds lowerBounds
def BddAbove (s : Set α) :=
(upperBounds s).Nonempty
#align bdd_above BddAbove
def BddBelow (s : Set α) :=
(lowerBounds s).Nonempty
#align bdd_below BddBelow
def IsLeast (s : Set α) (a : α) : Prop :=
a ∈ s ∧ a ∈ lowerBounds s
#align is_least IsLeast
def IsGreatest (s : Set α) (a : α) : Prop :=
a ∈ s ∧ a ∈ upperBounds s
#align is_greatest IsGreatest
def IsLUB (s : Set α) : α → Prop :=
IsLeast (upperBounds s)
#align is_lub IsLUB
def IsGLB (s : Set α) : α → Prop :=
IsGreatest (lowerBounds s)
#align is_glb IsGLB
theorem mem_upperBounds : a ∈ upperBounds s ↔ ∀ x ∈ s, x ≤ a :=
Iff.rfl
#align mem_upper_bounds mem_upperBounds
theorem mem_lowerBounds : a ∈ lowerBounds s ↔ ∀ x ∈ s, a ≤ x :=
Iff.rfl
#align mem_lower_bounds mem_lowerBounds
lemma mem_upperBounds_iff_subset_Iic : a ∈ upperBounds s ↔ s ⊆ Iic a := Iff.rfl
#align mem_upper_bounds_iff_subset_Iic mem_upperBounds_iff_subset_Iic
lemma mem_lowerBounds_iff_subset_Ici : a ∈ lowerBounds s ↔ s ⊆ Ici a := Iff.rfl
#align mem_lower_bounds_iff_subset_Ici mem_lowerBounds_iff_subset_Ici
theorem bddAbove_def : BddAbove s ↔ ∃ x, ∀ y ∈ s, y ≤ x :=
Iff.rfl
#align bdd_above_def bddAbove_def
theorem bddBelow_def : BddBelow s ↔ ∃ x, ∀ y ∈ s, x ≤ y :=
Iff.rfl
#align bdd_below_def bddBelow_def
theorem bot_mem_lowerBounds [OrderBot α] (s : Set α) : ⊥ ∈ lowerBounds s := fun _ _ => bot_le
#align bot_mem_lower_bounds bot_mem_lowerBounds
theorem top_mem_upperBounds [OrderTop α] (s : Set α) : ⊤ ∈ upperBounds s := fun _ _ => le_top
#align top_mem_upper_bounds top_mem_upperBounds
@[simp]
theorem isLeast_bot_iff [OrderBot α] : IsLeast s ⊥ ↔ ⊥ ∈ s :=
and_iff_left <| bot_mem_lowerBounds _
#align is_least_bot_iff isLeast_bot_iff
@[simp]
theorem isGreatest_top_iff [OrderTop α] : IsGreatest s ⊤ ↔ ⊤ ∈ s :=
and_iff_left <| top_mem_upperBounds _
#align is_greatest_top_iff isGreatest_top_iff
| Mathlib/Order/Bounds/Basic.lean | 126 | 127 | theorem not_bddAbove_iff' : ¬BddAbove s ↔ ∀ x, ∃ y ∈ s, ¬y ≤ x := by |
simp [BddAbove, upperBounds, Set.Nonempty]
|
import Mathlib.Analysis.Normed.Field.Basic
import Mathlib.LinearAlgebra.Eigenspace.Basic
import Mathlib.LinearAlgebra.Determinant
variable {K n : Type*} [NormedField K] [Fintype n] [DecidableEq n] {A : Matrix n n K}
theorem eigenvalue_mem_ball {μ : K} (hμ : Module.End.HasEigenvalue (Matrix.toLin' A) μ) :
∃ k, μ ∈ Metric.closedBall (A k k) (∑ j ∈ Finset.univ.erase k, ‖A k j‖) := by
cases isEmpty_or_nonempty n
· exfalso
exact hμ Submodule.eq_bot_of_subsingleton
· obtain ⟨v, h_eg, h_nz⟩ := hμ.exists_hasEigenvector
obtain ⟨i, -, h_i⟩ := Finset.exists_mem_eq_sup' Finset.univ_nonempty (fun i => ‖v i‖)
have h_nz : v i ≠ 0 := by
contrapose! h_nz
ext j
rw [Pi.zero_apply, ← norm_le_zero_iff]
refine (h_i ▸ Finset.le_sup' (fun i => ‖v i‖) (Finset.mem_univ j)).trans ?_
exact norm_le_zero_iff.mpr h_nz
have h_le : ∀ j, ‖v j * (v i)⁻¹‖ ≤ 1 := fun j => by
rw [norm_mul, norm_inv, mul_inv_le_iff' (norm_pos_iff.mpr h_nz), one_mul]
exact h_i ▸ Finset.le_sup' (fun i => ‖v i‖) (Finset.mem_univ j)
simp_rw [mem_closedBall_iff_norm']
refine ⟨i, ?_⟩
calc
_ = ‖(A i i * v i - μ * v i) * (v i)⁻¹‖ := by congr; field_simp [h_nz]; ring
_ = ‖(A i i * v i - ∑ j, A i j * v j) * (v i)⁻¹‖ := by
rw [show μ * v i = ∑ x : n, A i x * v x by
rw [← Matrix.dotProduct, ← Matrix.mulVec]
exact (congrFun (Module.End.mem_eigenspace_iff.mp h_eg) i).symm]
_ = ‖(∑ j ∈ Finset.univ.erase i, A i j * v j) * (v i)⁻¹‖ := by
rw [Finset.sum_erase_eq_sub (Finset.mem_univ i), ← neg_sub, neg_mul, norm_neg]
_ ≤ ∑ j ∈ Finset.univ.erase i, ‖A i j‖ * ‖v j * (v i)⁻¹‖ := by
rw [Finset.sum_mul]
exact (norm_sum_le _ _).trans (le_of_eq (by simp_rw [mul_assoc, norm_mul]))
_ ≤ ∑ j ∈ Finset.univ.erase i, ‖A i j‖ :=
(Finset.sum_le_sum fun j _ => mul_le_of_le_one_right (norm_nonneg _) (h_le j))
theorem det_ne_zero_of_sum_row_lt_diag (h : ∀ k, ∑ j ∈ Finset.univ.erase k, ‖A k j‖ < ‖A k k‖) :
A.det ≠ 0 := by
contrapose! h
suffices ∃ k, 0 ∈ Metric.closedBall (A k k) (∑ j ∈ Finset.univ.erase k, ‖A k j‖) by
exact this.imp (fun a h ↦ by rwa [mem_closedBall_iff_norm', sub_zero] at h)
refine eigenvalue_mem_ball ?_
rw [Module.End.HasEigenvalue, Module.End.eigenspace_zero, ne_comm]
exact ne_of_lt (LinearMap.bot_lt_ker_of_det_eq_zero (by rwa [LinearMap.det_toLin']))
| Mathlib/LinearAlgebra/Matrix/Gershgorin.lean | 69 | 72 | theorem det_ne_zero_of_sum_col_lt_diag (h : ∀ k, ∑ i ∈ Finset.univ.erase k, ‖A i k‖ < ‖A k k‖) :
A.det ≠ 0 := by |
rw [← Matrix.det_transpose]
exact det_ne_zero_of_sum_row_lt_diag (by simp_rw [Matrix.transpose_apply]; exact h)
|
import Mathlib.Algebra.BigOperators.WithTop
import Mathlib.Algebra.GroupWithZero.Divisibility
import Mathlib.Data.ENNReal.Basic
#align_import data.real.ennreal from "leanprover-community/mathlib"@"c14c8fcde993801fca8946b0d80131a1a81d1520"
open Set NNReal ENNReal
namespace ENNReal
variable {a b c d : ℝ≥0∞} {r p q : ℝ≥0}
section OperationsAndOrder
protected theorem pow_pos : 0 < a → ∀ n : ℕ, 0 < a ^ n :=
CanonicallyOrderedCommSemiring.pow_pos
#align ennreal.pow_pos ENNReal.pow_pos
protected theorem pow_ne_zero : a ≠ 0 → ∀ n : ℕ, a ^ n ≠ 0 := by
simpa only [pos_iff_ne_zero] using ENNReal.pow_pos
#align ennreal.pow_ne_zero ENNReal.pow_ne_zero
theorem not_lt_zero : ¬a < 0 := by simp
#align ennreal.not_lt_zero ENNReal.not_lt_zero
protected theorem le_of_add_le_add_left : a ≠ ∞ → a + b ≤ a + c → b ≤ c :=
WithTop.le_of_add_le_add_left
#align ennreal.le_of_add_le_add_left ENNReal.le_of_add_le_add_left
protected theorem le_of_add_le_add_right : a ≠ ∞ → b + a ≤ c + a → b ≤ c :=
WithTop.le_of_add_le_add_right
#align ennreal.le_of_add_le_add_right ENNReal.le_of_add_le_add_right
@[gcongr] protected theorem add_lt_add_left : a ≠ ∞ → b < c → a + b < a + c :=
WithTop.add_lt_add_left
#align ennreal.add_lt_add_left ENNReal.add_lt_add_left
@[gcongr] protected theorem add_lt_add_right : a ≠ ∞ → b < c → b + a < c + a :=
WithTop.add_lt_add_right
#align ennreal.add_lt_add_right ENNReal.add_lt_add_right
protected theorem add_le_add_iff_left : a ≠ ∞ → (a + b ≤ a + c ↔ b ≤ c) :=
WithTop.add_le_add_iff_left
#align ennreal.add_le_add_iff_left ENNReal.add_le_add_iff_left
protected theorem add_le_add_iff_right : a ≠ ∞ → (b + a ≤ c + a ↔ b ≤ c) :=
WithTop.add_le_add_iff_right
#align ennreal.add_le_add_iff_right ENNReal.add_le_add_iff_right
protected theorem add_lt_add_iff_left : a ≠ ∞ → (a + b < a + c ↔ b < c) :=
WithTop.add_lt_add_iff_left
#align ennreal.add_lt_add_iff_left ENNReal.add_lt_add_iff_left
protected theorem add_lt_add_iff_right : a ≠ ∞ → (b + a < c + a ↔ b < c) :=
WithTop.add_lt_add_iff_right
#align ennreal.add_lt_add_iff_right ENNReal.add_lt_add_iff_right
protected theorem add_lt_add_of_le_of_lt : a ≠ ∞ → a ≤ b → c < d → a + c < b + d :=
WithTop.add_lt_add_of_le_of_lt
#align ennreal.add_lt_add_of_le_of_lt ENNReal.add_lt_add_of_le_of_lt
protected theorem add_lt_add_of_lt_of_le : c ≠ ∞ → a < b → c ≤ d → a + c < b + d :=
WithTop.add_lt_add_of_lt_of_le
#align ennreal.add_lt_add_of_lt_of_le ENNReal.add_lt_add_of_lt_of_le
instance contravariantClass_add_lt : ContravariantClass ℝ≥0∞ ℝ≥0∞ (· + ·) (· < ·) :=
WithTop.contravariantClass_add_lt
#align ennreal.contravariant_class_add_lt ENNReal.contravariantClass_add_lt
| Mathlib/Data/ENNReal/Operations.lean | 177 | 178 | theorem lt_add_right (ha : a ≠ ∞) (hb : b ≠ 0) : a < a + b := by |
rwa [← pos_iff_ne_zero, ← ENNReal.add_lt_add_iff_left ha, add_zero] at hb
|
import Mathlib.MeasureTheory.Constructions.Prod.Basic
import Mathlib.MeasureTheory.Measure.MeasureSpace
namespace MeasureTheory
namespace Measure
variable {M : Type*} [Monoid M] [MeasurableSpace M]
@[to_additive conv "Additive convolution of measures."]
noncomputable def mconv (μ : Measure M) (ν : Measure M) :
Measure M := Measure.map (fun x : M × M ↦ x.1 * x.2) (μ.prod ν)
scoped[MeasureTheory] infix:80 " ∗ " => MeasureTheory.Measure.mconv
scoped[MeasureTheory] infix:80 " ∗ " => MeasureTheory.Measure.conv
@[to_additive (attr := simp)]
theorem dirac_one_mconv [MeasurableMul₂ M] (μ : Measure M) [SFinite μ] :
(Measure.dirac 1) ∗ μ = μ := by
unfold mconv
rw [MeasureTheory.Measure.dirac_prod, map_map]
· simp only [Function.comp_def, one_mul, map_id']
all_goals { measurability }
@[to_additive (attr := simp)]
| Mathlib/MeasureTheory/Group/Convolution.lean | 50 | 55 | theorem mconv_dirac_one [MeasurableMul₂ M]
(μ : Measure M) [SFinite μ] : μ ∗ (Measure.dirac 1) = μ := by |
unfold mconv
rw [MeasureTheory.Measure.prod_dirac, map_map]
· simp only [Function.comp_def, mul_one, map_id']
all_goals { measurability }
|
import Mathlib.Algebra.Ring.Int
import Mathlib.SetTheory.Game.PGame
import Mathlib.Tactic.Abel
#align_import set_theory.game.basic from "leanprover-community/mathlib"@"8900d545017cd21961daa2a1734bb658ef52c618"
-- Porting note: many definitions here are noncomputable as the compiler does not support PGame.rec
noncomputable section
namespace SetTheory
open Function PGame
open PGame
universe u
-- Porting note: moved the setoid instance to PGame.lean
abbrev Game :=
Quotient PGame.setoid
#align game SetTheory.Game
namespace Game
-- Porting note (#11445): added this definition
instance : Neg Game where
neg := Quot.map Neg.neg <| fun _ _ => (neg_equiv_neg_iff).2
instance : Zero Game where zero := ⟦0⟧
instance : Add Game where
add := Quotient.map₂ HAdd.hAdd <| fun _ _ hx _ _ hy => PGame.add_congr hx hy
instance instAddCommGroupWithOneGame : AddCommGroupWithOne Game where
zero := ⟦0⟧
one := ⟦1⟧
add_zero := by
rintro ⟨x⟩
exact Quot.sound (add_zero_equiv x)
zero_add := by
rintro ⟨x⟩
exact Quot.sound (zero_add_equiv x)
add_assoc := by
rintro ⟨x⟩ ⟨y⟩ ⟨z⟩
exact Quot.sound add_assoc_equiv
add_left_neg := Quotient.ind <| fun x => Quot.sound (add_left_neg_equiv x)
add_comm := by
rintro ⟨x⟩ ⟨y⟩
exact Quot.sound add_comm_equiv
nsmul := nsmulRec
zsmul := zsmulRec
instance : Inhabited Game :=
⟨0⟩
instance instPartialOrderGame : PartialOrder Game where
le := Quotient.lift₂ (· ≤ ·) fun x₁ y₁ x₂ y₂ hx hy => propext (le_congr hx hy)
le_refl := by
rintro ⟨x⟩
exact le_refl x
le_trans := by
rintro ⟨x⟩ ⟨y⟩ ⟨z⟩
exact @le_trans _ _ x y z
le_antisymm := by
rintro ⟨x⟩ ⟨y⟩ h₁ h₂
apply Quot.sound
exact ⟨h₁, h₂⟩
lt := Quotient.lift₂ (· < ·) fun x₁ y₁ x₂ y₂ hx hy => propext (lt_congr hx hy)
lt_iff_le_not_le := by
rintro ⟨x⟩ ⟨y⟩
exact @lt_iff_le_not_le _ _ x y
def LF : Game → Game → Prop :=
Quotient.lift₂ PGame.LF fun _ _ _ _ hx hy => propext (lf_congr hx hy)
#align game.lf SetTheory.Game.LF
local infixl:50 " ⧏ " => LF
@[simp]
theorem not_le : ∀ {x y : Game}, ¬x ≤ y ↔ y ⧏ x := by
rintro ⟨x⟩ ⟨y⟩
exact PGame.not_le
#align game.not_le SetTheory.Game.not_le
@[simp]
| Mathlib/SetTheory/Game/Basic.lean | 118 | 120 | theorem not_lf : ∀ {x y : Game}, ¬x ⧏ y ↔ y ≤ x := by |
rintro ⟨x⟩ ⟨y⟩
exact PGame.not_lf
|
import Mathlib.SetTheory.Ordinal.Basic
import Mathlib.Data.Nat.SuccPred
#align_import set_theory.ordinal.arithmetic from "leanprover-community/mathlib"@"31b269b60935483943542d547a6dd83a66b37dc7"
assert_not_exists Field
assert_not_exists Module
noncomputable section
open Function Cardinal Set Equiv Order
open scoped Classical
open Cardinal Ordinal
universe u v w
namespace Ordinal
variable {α : Type*} {β : Type*} {γ : Type*} {r : α → α → Prop} {s : β → β → Prop}
{t : γ → γ → Prop}
@[simp]
theorem lift_add (a b : Ordinal.{v}) : lift.{u} (a + b) = lift.{u} a + lift.{u} b :=
Quotient.inductionOn₂ a b fun ⟨_α, _r, _⟩ ⟨_β, _s, _⟩ =>
Quotient.sound
⟨(RelIso.preimage Equiv.ulift _).trans
(RelIso.sumLexCongr (RelIso.preimage Equiv.ulift _) (RelIso.preimage Equiv.ulift _)).symm⟩
#align ordinal.lift_add Ordinal.lift_add
@[simp]
theorem lift_succ (a : Ordinal.{v}) : lift.{u} (succ a) = succ (lift.{u} a) := by
rw [← add_one_eq_succ, lift_add, lift_one]
rfl
#align ordinal.lift_succ Ordinal.lift_succ
instance add_contravariantClass_le : ContravariantClass Ordinal.{u} Ordinal.{u} (· + ·) (· ≤ ·) :=
⟨fun a b c =>
inductionOn a fun α r hr =>
inductionOn b fun β₁ s₁ hs₁ =>
inductionOn c fun β₂ s₂ hs₂ ⟨f⟩ =>
⟨have fl : ∀ a, f (Sum.inl a) = Sum.inl a := fun a => by
simpa only [InitialSeg.trans_apply, InitialSeg.leAdd_apply] using
@InitialSeg.eq _ _ _ _ _
((InitialSeg.leAdd r s₁).trans f) (InitialSeg.leAdd r s₂) a
have : ∀ b, { b' // f (Sum.inr b) = Sum.inr b' } := by
intro b; cases e : f (Sum.inr b)
· rw [← fl] at e
have := f.inj' e
contradiction
· exact ⟨_, rfl⟩
let g (b) := (this b).1
have fr : ∀ b, f (Sum.inr b) = Sum.inr (g b) := fun b => (this b).2
⟨⟨⟨g, fun x y h => by
injection f.inj' (by rw [fr, fr, h] : f (Sum.inr x) = f (Sum.inr y))⟩,
@fun a b => by
-- Porting note:
-- `relEmbedding.coe_fn_to_embedding` & `initial_seg.coe_fn_to_rel_embedding`
-- → `InitialSeg.coe_coe_fn`
simpa only [Sum.lex_inr_inr, fr, InitialSeg.coe_coe_fn, Embedding.coeFn_mk] using
@RelEmbedding.map_rel_iff _ _ _ _ f.toRelEmbedding (Sum.inr a) (Sum.inr b)⟩,
fun a b H => by
rcases f.init (by rw [fr] <;> exact Sum.lex_inr_inr.2 H) with ⟨a' | a', h⟩
· rw [fl] at h
cases h
· rw [fr] at h
exact ⟨a', Sum.inr.inj h⟩⟩⟩⟩
#align ordinal.add_contravariant_class_le Ordinal.add_contravariantClass_le
theorem add_left_cancel (a) {b c : Ordinal} : a + b = a + c ↔ b = c := by
simp only [le_antisymm_iff, add_le_add_iff_left]
#align ordinal.add_left_cancel Ordinal.add_left_cancel
private theorem add_lt_add_iff_left' (a) {b c : Ordinal} : a + b < a + c ↔ b < c := by
rw [← not_le, ← not_le, add_le_add_iff_left]
instance add_covariantClass_lt : CovariantClass Ordinal.{u} Ordinal.{u} (· + ·) (· < ·) :=
⟨fun a _b _c => (add_lt_add_iff_left' a).2⟩
#align ordinal.add_covariant_class_lt Ordinal.add_covariantClass_lt
instance add_contravariantClass_lt : ContravariantClass Ordinal.{u} Ordinal.{u} (· + ·) (· < ·) :=
⟨fun a _b _c => (add_lt_add_iff_left' a).1⟩
#align ordinal.add_contravariant_class_lt Ordinal.add_contravariantClass_lt
instance add_swap_contravariantClass_lt :
ContravariantClass Ordinal.{u} Ordinal.{u} (swap (· + ·)) (· < ·) :=
⟨fun _a _b _c => lt_imp_lt_of_le_imp_le fun h => add_le_add_right h _⟩
#align ordinal.add_swap_contravariant_class_lt Ordinal.add_swap_contravariantClass_lt
theorem add_le_add_iff_right {a b : Ordinal} : ∀ n : ℕ, a + n ≤ b + n ↔ a ≤ b
| 0 => by simp
| n + 1 => by
simp only [natCast_succ, add_succ, add_succ, succ_le_succ_iff, add_le_add_iff_right]
#align ordinal.add_le_add_iff_right Ordinal.add_le_add_iff_right
theorem add_right_cancel {a b : Ordinal} (n : ℕ) : a + n = b + n ↔ a = b := by
simp only [le_antisymm_iff, add_le_add_iff_right]
#align ordinal.add_right_cancel Ordinal.add_right_cancel
theorem add_eq_zero_iff {a b : Ordinal} : a + b = 0 ↔ a = 0 ∧ b = 0 :=
inductionOn a fun α r _ =>
inductionOn b fun β s _ => by
simp_rw [← type_sum_lex, type_eq_zero_iff_isEmpty]
exact isEmpty_sum
#align ordinal.add_eq_zero_iff Ordinal.add_eq_zero_iff
theorem left_eq_zero_of_add_eq_zero {a b : Ordinal} (h : a + b = 0) : a = 0 :=
(add_eq_zero_iff.1 h).1
#align ordinal.left_eq_zero_of_add_eq_zero Ordinal.left_eq_zero_of_add_eq_zero
theorem right_eq_zero_of_add_eq_zero {a b : Ordinal} (h : a + b = 0) : b = 0 :=
(add_eq_zero_iff.1 h).2
#align ordinal.right_eq_zero_of_add_eq_zero Ordinal.right_eq_zero_of_add_eq_zero
def pred (o : Ordinal) : Ordinal :=
if h : ∃ a, o = succ a then Classical.choose h else o
#align ordinal.pred Ordinal.pred
@[simp]
theorem pred_succ (o) : pred (succ o) = o := by
have h : ∃ a, succ o = succ a := ⟨_, rfl⟩;
simpa only [pred, dif_pos h] using (succ_injective <| Classical.choose_spec h).symm
#align ordinal.pred_succ Ordinal.pred_succ
theorem pred_le_self (o) : pred o ≤ o :=
if h : ∃ a, o = succ a then by
let ⟨a, e⟩ := h
rw [e, pred_succ]; exact le_succ a
else by rw [pred, dif_neg h]
#align ordinal.pred_le_self Ordinal.pred_le_self
theorem pred_eq_iff_not_succ {o} : pred o = o ↔ ¬∃ a, o = succ a :=
⟨fun e ⟨a, e'⟩ => by rw [e', pred_succ] at e; exact (lt_succ a).ne e, fun h => dif_neg h⟩
#align ordinal.pred_eq_iff_not_succ Ordinal.pred_eq_iff_not_succ
theorem pred_eq_iff_not_succ' {o} : pred o = o ↔ ∀ a, o ≠ succ a := by
simpa using pred_eq_iff_not_succ
#align ordinal.pred_eq_iff_not_succ' Ordinal.pred_eq_iff_not_succ'
theorem pred_lt_iff_is_succ {o} : pred o < o ↔ ∃ a, o = succ a :=
Iff.trans (by simp only [le_antisymm_iff, pred_le_self, true_and_iff, not_le])
(iff_not_comm.1 pred_eq_iff_not_succ).symm
#align ordinal.pred_lt_iff_is_succ Ordinal.pred_lt_iff_is_succ
@[simp]
theorem pred_zero : pred 0 = 0 :=
pred_eq_iff_not_succ'.2 fun a => (succ_ne_zero a).symm
#align ordinal.pred_zero Ordinal.pred_zero
theorem succ_pred_iff_is_succ {o} : succ (pred o) = o ↔ ∃ a, o = succ a :=
⟨fun e => ⟨_, e.symm⟩, fun ⟨a, e⟩ => by simp only [e, pred_succ]⟩
#align ordinal.succ_pred_iff_is_succ Ordinal.succ_pred_iff_is_succ
theorem succ_lt_of_not_succ {o b : Ordinal} (h : ¬∃ a, o = succ a) : succ b < o ↔ b < o :=
⟨(lt_succ b).trans, fun l => lt_of_le_of_ne (succ_le_of_lt l) fun e => h ⟨_, e.symm⟩⟩
#align ordinal.succ_lt_of_not_succ Ordinal.succ_lt_of_not_succ
theorem lt_pred {a b} : a < pred b ↔ succ a < b :=
if h : ∃ a, b = succ a then by
let ⟨c, e⟩ := h
rw [e, pred_succ, succ_lt_succ_iff]
else by simp only [pred, dif_neg h, succ_lt_of_not_succ h]
#align ordinal.lt_pred Ordinal.lt_pred
theorem pred_le {a b} : pred a ≤ b ↔ a ≤ succ b :=
le_iff_le_iff_lt_iff_lt.2 lt_pred
#align ordinal.pred_le Ordinal.pred_le
@[simp]
theorem lift_is_succ {o : Ordinal.{v}} : (∃ a, lift.{u} o = succ a) ↔ ∃ a, o = succ a :=
⟨fun ⟨a, h⟩ =>
let ⟨b, e⟩ := lift_down <| show a ≤ lift.{u} o from le_of_lt <| h.symm ▸ lt_succ a
⟨b, lift_inj.1 <| by rw [h, ← e, lift_succ]⟩,
fun ⟨a, h⟩ => ⟨lift.{u} a, by simp only [h, lift_succ]⟩⟩
#align ordinal.lift_is_succ Ordinal.lift_is_succ
@[simp]
theorem lift_pred (o : Ordinal.{v}) : lift.{u} (pred o) = pred (lift.{u} o) :=
if h : ∃ a, o = succ a then by cases' h with a e; simp only [e, pred_succ, lift_succ]
else by rw [pred_eq_iff_not_succ.2 h, pred_eq_iff_not_succ.2 (mt lift_is_succ.1 h)]
#align ordinal.lift_pred Ordinal.lift_pred
def IsLimit (o : Ordinal) : Prop :=
o ≠ 0 ∧ ∀ a < o, succ a < o
#align ordinal.is_limit Ordinal.IsLimit
theorem IsLimit.isSuccLimit {o} (h : IsLimit o) : IsSuccLimit o := isSuccLimit_iff_succ_lt.mpr h.2
theorem IsLimit.succ_lt {o a : Ordinal} (h : IsLimit o) : a < o → succ a < o :=
h.2 a
#align ordinal.is_limit.succ_lt Ordinal.IsLimit.succ_lt
theorem isSuccLimit_zero : IsSuccLimit (0 : Ordinal) := isSuccLimit_bot
theorem not_zero_isLimit : ¬IsLimit 0
| ⟨h, _⟩ => h rfl
#align ordinal.not_zero_is_limit Ordinal.not_zero_isLimit
theorem not_succ_isLimit (o) : ¬IsLimit (succ o)
| ⟨_, h⟩ => lt_irrefl _ (h _ (lt_succ o))
#align ordinal.not_succ_is_limit Ordinal.not_succ_isLimit
theorem not_succ_of_isLimit {o} (h : IsLimit o) : ¬∃ a, o = succ a
| ⟨a, e⟩ => not_succ_isLimit a (e ▸ h)
#align ordinal.not_succ_of_is_limit Ordinal.not_succ_of_isLimit
theorem succ_lt_of_isLimit {o a : Ordinal} (h : IsLimit o) : succ a < o ↔ a < o :=
⟨(lt_succ a).trans, h.2 _⟩
#align ordinal.succ_lt_of_is_limit Ordinal.succ_lt_of_isLimit
theorem le_succ_of_isLimit {o} (h : IsLimit o) {a} : o ≤ succ a ↔ o ≤ a :=
le_iff_le_iff_lt_iff_lt.2 <| succ_lt_of_isLimit h
#align ordinal.le_succ_of_is_limit Ordinal.le_succ_of_isLimit
theorem limit_le {o} (h : IsLimit o) {a} : o ≤ a ↔ ∀ x < o, x ≤ a :=
⟨fun h _x l => l.le.trans h, fun H =>
(le_succ_of_isLimit h).1 <| le_of_not_lt fun hn => not_lt_of_le (H _ hn) (lt_succ a)⟩
#align ordinal.limit_le Ordinal.limit_le
theorem lt_limit {o} (h : IsLimit o) {a} : a < o ↔ ∃ x < o, a < x := by
-- Porting note: `bex_def` is required.
simpa only [not_forall₂, not_le, bex_def] using not_congr (@limit_le _ h a)
#align ordinal.lt_limit Ordinal.lt_limit
@[simp]
theorem lift_isLimit (o) : IsLimit (lift o) ↔ IsLimit o :=
and_congr (not_congr <| by simpa only [lift_zero] using @lift_inj o 0)
⟨fun H a h => lift_lt.1 <| by simpa only [lift_succ] using H _ (lift_lt.2 h), fun H a h => by
obtain ⟨a', rfl⟩ := lift_down h.le
rw [← lift_succ, lift_lt]
exact H a' (lift_lt.1 h)⟩
#align ordinal.lift_is_limit Ordinal.lift_isLimit
theorem IsLimit.pos {o : Ordinal} (h : IsLimit o) : 0 < o :=
lt_of_le_of_ne (Ordinal.zero_le _) h.1.symm
#align ordinal.is_limit.pos Ordinal.IsLimit.pos
theorem IsLimit.one_lt {o : Ordinal} (h : IsLimit o) : 1 < o := by
simpa only [succ_zero] using h.2 _ h.pos
#align ordinal.is_limit.one_lt Ordinal.IsLimit.one_lt
theorem IsLimit.nat_lt {o : Ordinal} (h : IsLimit o) : ∀ n : ℕ, (n : Ordinal) < o
| 0 => h.pos
| n + 1 => h.2 _ (IsLimit.nat_lt h n)
#align ordinal.is_limit.nat_lt Ordinal.IsLimit.nat_lt
theorem zero_or_succ_or_limit (o : Ordinal) : o = 0 ∨ (∃ a, o = succ a) ∨ IsLimit o :=
if o0 : o = 0 then Or.inl o0
else
if h : ∃ a, o = succ a then Or.inr (Or.inl h)
else Or.inr <| Or.inr ⟨o0, fun _a => (succ_lt_of_not_succ h).2⟩
#align ordinal.zero_or_succ_or_limit Ordinal.zero_or_succ_or_limit
@[elab_as_elim]
def limitRecOn {C : Ordinal → Sort*} (o : Ordinal) (H₁ : C 0) (H₂ : ∀ o, C o → C (succ o))
(H₃ : ∀ o, IsLimit o → (∀ o' < o, C o') → C o) : C o :=
SuccOrder.limitRecOn o (fun o _ ↦ H₂ o) fun o hl ↦
if h : o = 0 then fun _ ↦ h ▸ H₁ else H₃ o ⟨h, fun _ ↦ hl.succ_lt⟩
#align ordinal.limit_rec_on Ordinal.limitRecOn
@[simp]
theorem limitRecOn_zero {C} (H₁ H₂ H₃) : @limitRecOn C 0 H₁ H₂ H₃ = H₁ := by
rw [limitRecOn, SuccOrder.limitRecOn_limit _ _ isSuccLimit_zero, dif_pos rfl]
#align ordinal.limit_rec_on_zero Ordinal.limitRecOn_zero
@[simp]
theorem limitRecOn_succ {C} (o H₁ H₂ H₃) :
@limitRecOn C (succ o) H₁ H₂ H₃ = H₂ o (@limitRecOn C o H₁ H₂ H₃) := by
simp_rw [limitRecOn, SuccOrder.limitRecOn_succ _ _ (not_isMax _)]
#align ordinal.limit_rec_on_succ Ordinal.limitRecOn_succ
@[simp]
theorem limitRecOn_limit {C} (o H₁ H₂ H₃ h) :
@limitRecOn C o H₁ H₂ H₃ = H₃ o h fun x _h => @limitRecOn C x H₁ H₂ H₃ := by
simp_rw [limitRecOn, SuccOrder.limitRecOn_limit _ _ h.isSuccLimit, dif_neg h.1]
#align ordinal.limit_rec_on_limit Ordinal.limitRecOn_limit
instance orderTopOutSucc (o : Ordinal) : OrderTop (succ o).out.α :=
@OrderTop.mk _ _ (Top.mk _) le_enum_succ
#align ordinal.order_top_out_succ Ordinal.orderTopOutSucc
theorem enum_succ_eq_top {o : Ordinal} :
enum (· < ·) o
(by
rw [type_lt]
exact lt_succ o) =
(⊤ : (succ o).out.α) :=
rfl
#align ordinal.enum_succ_eq_top Ordinal.enum_succ_eq_top
theorem has_succ_of_type_succ_lt {α} {r : α → α → Prop} [wo : IsWellOrder α r]
(h : ∀ a < type r, succ a < type r) (x : α) : ∃ y, r x y := by
use enum r (succ (typein r x)) (h _ (typein_lt_type r x))
convert (enum_lt_enum (typein_lt_type r x)
(h _ (typein_lt_type r x))).mpr (lt_succ _); rw [enum_typein]
#align ordinal.has_succ_of_type_succ_lt Ordinal.has_succ_of_type_succ_lt
theorem out_no_max_of_succ_lt {o : Ordinal} (ho : ∀ a < o, succ a < o) : NoMaxOrder o.out.α :=
⟨has_succ_of_type_succ_lt (by rwa [type_lt])⟩
#align ordinal.out_no_max_of_succ_lt Ordinal.out_no_max_of_succ_lt
theorem bounded_singleton {r : α → α → Prop} [IsWellOrder α r] (hr : (type r).IsLimit) (x) :
Bounded r {x} := by
refine ⟨enum r (succ (typein r x)) (hr.2 _ (typein_lt_type r x)), ?_⟩
intro b hb
rw [mem_singleton_iff.1 hb]
nth_rw 1 [← enum_typein r x]
rw [@enum_lt_enum _ r]
apply lt_succ
#align ordinal.bounded_singleton Ordinal.bounded_singleton
-- Porting note: `· < ·` requires a type ascription for an `IsWellOrder` instance.
theorem type_subrel_lt (o : Ordinal.{u}) :
type (Subrel ((· < ·) : Ordinal → Ordinal → Prop) { o' : Ordinal | o' < o })
= Ordinal.lift.{u + 1} o := by
refine Quotient.inductionOn o ?_
rintro ⟨α, r, wo⟩; apply Quotient.sound
-- Porting note: `symm; refine' [term]` → `refine' [term].symm`
constructor; refine ((RelIso.preimage Equiv.ulift r).trans (enumIso r).symm).symm
#align ordinal.type_subrel_lt Ordinal.type_subrel_lt
theorem mk_initialSeg (o : Ordinal.{u}) :
#{ o' : Ordinal | o' < o } = Cardinal.lift.{u + 1} o.card := by
rw [lift_card, ← type_subrel_lt, card_type]
#align ordinal.mk_initial_seg Ordinal.mk_initialSeg
def IsNormal (f : Ordinal → Ordinal) : Prop :=
(∀ o, f o < f (succ o)) ∧ ∀ o, IsLimit o → ∀ a, f o ≤ a ↔ ∀ b < o, f b ≤ a
#align ordinal.is_normal Ordinal.IsNormal
theorem IsNormal.limit_le {f} (H : IsNormal f) :
∀ {o}, IsLimit o → ∀ {a}, f o ≤ a ↔ ∀ b < o, f b ≤ a :=
@H.2
#align ordinal.is_normal.limit_le Ordinal.IsNormal.limit_le
theorem IsNormal.limit_lt {f} (H : IsNormal f) {o} (h : IsLimit o) {a} :
a < f o ↔ ∃ b < o, a < f b :=
not_iff_not.1 <| by simpa only [exists_prop, not_exists, not_and, not_lt] using H.2 _ h a
#align ordinal.is_normal.limit_lt Ordinal.IsNormal.limit_lt
theorem IsNormal.strictMono {f} (H : IsNormal f) : StrictMono f := fun a b =>
limitRecOn b (Not.elim (not_lt_of_le <| Ordinal.zero_le _))
(fun _b IH h =>
(lt_or_eq_of_le (le_of_lt_succ h)).elim (fun h => (IH h).trans (H.1 _)) fun e => e ▸ H.1 _)
fun _b l _IH h => lt_of_lt_of_le (H.1 a) ((H.2 _ l _).1 le_rfl _ (l.2 _ h))
#align ordinal.is_normal.strict_mono Ordinal.IsNormal.strictMono
theorem IsNormal.monotone {f} (H : IsNormal f) : Monotone f :=
H.strictMono.monotone
#align ordinal.is_normal.monotone Ordinal.IsNormal.monotone
theorem isNormal_iff_strictMono_limit (f : Ordinal → Ordinal) :
IsNormal f ↔ StrictMono f ∧ ∀ o, IsLimit o → ∀ a, (∀ b < o, f b ≤ a) → f o ≤ a :=
⟨fun hf => ⟨hf.strictMono, fun a ha c => (hf.2 a ha c).2⟩, fun ⟨hs, hl⟩ =>
⟨fun a => hs (lt_succ a), fun a ha c =>
⟨fun hac _b hba => ((hs hba).trans_le hac).le, hl a ha c⟩⟩⟩
#align ordinal.is_normal_iff_strict_mono_limit Ordinal.isNormal_iff_strictMono_limit
theorem IsNormal.lt_iff {f} (H : IsNormal f) {a b} : f a < f b ↔ a < b :=
StrictMono.lt_iff_lt <| H.strictMono
#align ordinal.is_normal.lt_iff Ordinal.IsNormal.lt_iff
theorem IsNormal.le_iff {f} (H : IsNormal f) {a b} : f a ≤ f b ↔ a ≤ b :=
le_iff_le_iff_lt_iff_lt.2 H.lt_iff
#align ordinal.is_normal.le_iff Ordinal.IsNormal.le_iff
theorem IsNormal.inj {f} (H : IsNormal f) {a b} : f a = f b ↔ a = b := by
simp only [le_antisymm_iff, H.le_iff]
#align ordinal.is_normal.inj Ordinal.IsNormal.inj
theorem IsNormal.self_le {f} (H : IsNormal f) (a) : a ≤ f a :=
lt_wf.self_le_of_strictMono H.strictMono a
#align ordinal.is_normal.self_le Ordinal.IsNormal.self_le
theorem IsNormal.le_set {f o} (H : IsNormal f) (p : Set Ordinal) (p0 : p.Nonempty) (b)
(H₂ : ∀ o, b ≤ o ↔ ∀ a ∈ p, a ≤ o) : f b ≤ o ↔ ∀ a ∈ p, f a ≤ o :=
⟨fun h a pa => (H.le_iff.2 ((H₂ _).1 le_rfl _ pa)).trans h, fun h => by
-- Porting note: `refine'` didn't work well so `induction` is used
induction b using limitRecOn with
| H₁ =>
cases' p0 with x px
have := Ordinal.le_zero.1 ((H₂ _).1 (Ordinal.zero_le _) _ px)
rw [this] at px
exact h _ px
| H₂ S _ =>
rcases not_forall₂.1 (mt (H₂ S).2 <| (lt_succ S).not_le) with ⟨a, h₁, h₂⟩
exact (H.le_iff.2 <| succ_le_of_lt <| not_le.1 h₂).trans (h _ h₁)
| H₃ S L _ =>
refine (H.2 _ L _).2 fun a h' => ?_
rcases not_forall₂.1 (mt (H₂ a).2 h'.not_le) with ⟨b, h₁, h₂⟩
exact (H.le_iff.2 <| (not_le.1 h₂).le).trans (h _ h₁)⟩
#align ordinal.is_normal.le_set Ordinal.IsNormal.le_set
theorem IsNormal.le_set' {f o} (H : IsNormal f) (p : Set α) (p0 : p.Nonempty) (g : α → Ordinal) (b)
(H₂ : ∀ o, b ≤ o ↔ ∀ a ∈ p, g a ≤ o) : f b ≤ o ↔ ∀ a ∈ p, f (g a) ≤ o := by
simpa [H₂] using H.le_set (g '' p) (p0.image g) b
#align ordinal.is_normal.le_set' Ordinal.IsNormal.le_set'
theorem IsNormal.refl : IsNormal id :=
⟨lt_succ, fun _o l _a => Ordinal.limit_le l⟩
#align ordinal.is_normal.refl Ordinal.IsNormal.refl
theorem IsNormal.trans {f g} (H₁ : IsNormal f) (H₂ : IsNormal g) : IsNormal (f ∘ g) :=
⟨fun _x => H₁.lt_iff.2 (H₂.1 _), fun o l _a =>
H₁.le_set' (· < o) ⟨0, l.pos⟩ g _ fun _c => H₂.2 _ l _⟩
#align ordinal.is_normal.trans Ordinal.IsNormal.trans
theorem IsNormal.isLimit {f} (H : IsNormal f) {o} (l : IsLimit o) : IsLimit (f o) :=
⟨ne_of_gt <| (Ordinal.zero_le _).trans_lt <| H.lt_iff.2 l.pos, fun _ h =>
let ⟨_b, h₁, h₂⟩ := (H.limit_lt l).1 h
(succ_le_of_lt h₂).trans_lt (H.lt_iff.2 h₁)⟩
#align ordinal.is_normal.is_limit Ordinal.IsNormal.isLimit
theorem IsNormal.le_iff_eq {f} (H : IsNormal f) {a} : f a ≤ a ↔ f a = a :=
(H.self_le a).le_iff_eq
#align ordinal.is_normal.le_iff_eq Ordinal.IsNormal.le_iff_eq
theorem add_le_of_limit {a b c : Ordinal} (h : IsLimit b) : a + b ≤ c ↔ ∀ b' < b, a + b' ≤ c :=
⟨fun h b' l => (add_le_add_left l.le _).trans h, fun H =>
le_of_not_lt <| by
-- Porting note: `induction` tactics are required because of the parser bug.
induction a using inductionOn with
| H α r =>
induction b using inductionOn with
| H β s =>
intro l
suffices ∀ x : β, Sum.Lex r s (Sum.inr x) (enum _ _ l) by
-- Porting note: `revert` & `intro` is required because `cases'` doesn't replace
-- `enum _ _ l` in `this`.
revert this; cases' enum _ _ l with x x <;> intro this
· cases this (enum s 0 h.pos)
· exact irrefl _ (this _)
intro x
rw [← typein_lt_typein (Sum.Lex r s), typein_enum]
have := H _ (h.2 _ (typein_lt_type s x))
rw [add_succ, succ_le_iff] at this
refine
(RelEmbedding.ofMonotone (fun a => ?_) fun a b => ?_).ordinal_type_le.trans_lt this
· rcases a with ⟨a | b, h⟩
· exact Sum.inl a
· exact Sum.inr ⟨b, by cases h; assumption⟩
· rcases a with ⟨a | a, h₁⟩ <;> rcases b with ⟨b | b, h₂⟩ <;> cases h₁ <;> cases h₂ <;>
rintro ⟨⟩ <;> constructor <;> assumption⟩
#align ordinal.add_le_of_limit Ordinal.add_le_of_limit
theorem add_isNormal (a : Ordinal) : IsNormal (a + ·) :=
⟨fun b => (add_lt_add_iff_left a).2 (lt_succ b), fun _b l _c => add_le_of_limit l⟩
#align ordinal.add_is_normal Ordinal.add_isNormal
theorem add_isLimit (a) {b} : IsLimit b → IsLimit (a + b) :=
(add_isNormal a).isLimit
#align ordinal.add_is_limit Ordinal.add_isLimit
alias IsLimit.add := add_isLimit
#align ordinal.is_limit.add Ordinal.IsLimit.add
theorem sub_nonempty {a b : Ordinal} : { o | a ≤ b + o }.Nonempty :=
⟨a, le_add_left _ _⟩
#align ordinal.sub_nonempty Ordinal.sub_nonempty
instance sub : Sub Ordinal :=
⟨fun a b => sInf { o | a ≤ b + o }⟩
theorem le_add_sub (a b : Ordinal) : a ≤ b + (a - b) :=
csInf_mem sub_nonempty
#align ordinal.le_add_sub Ordinal.le_add_sub
theorem sub_le {a b c : Ordinal} : a - b ≤ c ↔ a ≤ b + c :=
⟨fun h => (le_add_sub a b).trans (add_le_add_left h _), fun h => csInf_le' h⟩
#align ordinal.sub_le Ordinal.sub_le
theorem lt_sub {a b c : Ordinal} : a < b - c ↔ c + a < b :=
lt_iff_lt_of_le_iff_le sub_le
#align ordinal.lt_sub Ordinal.lt_sub
theorem add_sub_cancel (a b : Ordinal) : a + b - a = b :=
le_antisymm (sub_le.2 <| le_rfl) ((add_le_add_iff_left a).1 <| le_add_sub _ _)
#align ordinal.add_sub_cancel Ordinal.add_sub_cancel
theorem sub_eq_of_add_eq {a b c : Ordinal} (h : a + b = c) : c - a = b :=
h ▸ add_sub_cancel _ _
#align ordinal.sub_eq_of_add_eq Ordinal.sub_eq_of_add_eq
theorem sub_le_self (a b : Ordinal) : a - b ≤ a :=
sub_le.2 <| le_add_left _ _
#align ordinal.sub_le_self Ordinal.sub_le_self
protected theorem add_sub_cancel_of_le {a b : Ordinal} (h : b ≤ a) : b + (a - b) = a :=
(le_add_sub a b).antisymm'
(by
rcases zero_or_succ_or_limit (a - b) with (e | ⟨c, e⟩ | l)
· simp only [e, add_zero, h]
· rw [e, add_succ, succ_le_iff, ← lt_sub, e]
exact lt_succ c
· exact (add_le_of_limit l).2 fun c l => (lt_sub.1 l).le)
#align ordinal.add_sub_cancel_of_le Ordinal.add_sub_cancel_of_le
theorem le_sub_of_le {a b c : Ordinal} (h : b ≤ a) : c ≤ a - b ↔ b + c ≤ a := by
rw [← add_le_add_iff_left b, Ordinal.add_sub_cancel_of_le h]
#align ordinal.le_sub_of_le Ordinal.le_sub_of_le
theorem sub_lt_of_le {a b c : Ordinal} (h : b ≤ a) : a - b < c ↔ a < b + c :=
lt_iff_lt_of_le_iff_le (le_sub_of_le h)
#align ordinal.sub_lt_of_le Ordinal.sub_lt_of_le
instance existsAddOfLE : ExistsAddOfLE Ordinal :=
⟨fun h => ⟨_, (Ordinal.add_sub_cancel_of_le h).symm⟩⟩
@[simp]
theorem sub_zero (a : Ordinal) : a - 0 = a := by simpa only [zero_add] using add_sub_cancel 0 a
#align ordinal.sub_zero Ordinal.sub_zero
@[simp]
theorem zero_sub (a : Ordinal) : 0 - a = 0 := by rw [← Ordinal.le_zero]; apply sub_le_self
#align ordinal.zero_sub Ordinal.zero_sub
@[simp]
theorem sub_self (a : Ordinal) : a - a = 0 := by simpa only [add_zero] using add_sub_cancel a 0
#align ordinal.sub_self Ordinal.sub_self
protected theorem sub_eq_zero_iff_le {a b : Ordinal} : a - b = 0 ↔ a ≤ b :=
⟨fun h => by simpa only [h, add_zero] using le_add_sub a b, fun h => by
rwa [← Ordinal.le_zero, sub_le, add_zero]⟩
#align ordinal.sub_eq_zero_iff_le Ordinal.sub_eq_zero_iff_le
theorem sub_sub (a b c : Ordinal) : a - b - c = a - (b + c) :=
eq_of_forall_ge_iff fun d => by rw [sub_le, sub_le, sub_le, add_assoc]
#align ordinal.sub_sub Ordinal.sub_sub
@[simp]
theorem add_sub_add_cancel (a b c : Ordinal) : a + b - (a + c) = b - c := by
rw [← sub_sub, add_sub_cancel]
#align ordinal.add_sub_add_cancel Ordinal.add_sub_add_cancel
theorem sub_isLimit {a b} (l : IsLimit a) (h : b < a) : IsLimit (a - b) :=
⟨ne_of_gt <| lt_sub.2 <| by rwa [add_zero], fun c h => by
rw [lt_sub, add_succ]; exact l.2 _ (lt_sub.1 h)⟩
#align ordinal.sub_is_limit Ordinal.sub_isLimit
-- @[simp] -- Porting note (#10618): simp can prove this
theorem one_add_omega : 1 + ω = ω := by
refine le_antisymm ?_ (le_add_left _ _)
rw [omega, ← lift_one.{_, 0}, ← lift_add, lift_le, ← type_unit, ← type_sum_lex]
refine ⟨RelEmbedding.collapse (RelEmbedding.ofMonotone ?_ ?_)⟩
· apply Sum.rec
· exact fun _ => 0
· exact Nat.succ
· intro a b
cases a <;> cases b <;> intro H <;> cases' H with _ _ H _ _ H <;>
[exact H.elim; exact Nat.succ_pos _; exact Nat.succ_lt_succ H]
#align ordinal.one_add_omega Ordinal.one_add_omega
@[simp]
theorem one_add_of_omega_le {o} (h : ω ≤ o) : 1 + o = o := by
rw [← Ordinal.add_sub_cancel_of_le h, ← add_assoc, one_add_omega]
#align ordinal.one_add_of_omega_le Ordinal.one_add_of_omega_le
instance monoid : Monoid Ordinal.{u} where
mul a b :=
Quotient.liftOn₂ a b
(fun ⟨α, r, wo⟩ ⟨β, s, wo'⟩ => ⟦⟨β × α, Prod.Lex s r, inferInstance⟩⟧ :
WellOrder → WellOrder → Ordinal)
fun ⟨α₁, r₁, o₁⟩ ⟨α₂, r₂, o₂⟩ ⟨β₁, s₁, p₁⟩ ⟨β₂, s₂, p₂⟩ ⟨f⟩ ⟨g⟩ =>
Quot.sound ⟨RelIso.prodLexCongr g f⟩
one := 1
mul_assoc a b c :=
Quotient.inductionOn₃ a b c fun ⟨α, r, _⟩ ⟨β, s, _⟩ ⟨γ, t, _⟩ =>
Eq.symm <|
Quotient.sound
⟨⟨prodAssoc _ _ _, @fun a b => by
rcases a with ⟨⟨a₁, a₂⟩, a₃⟩
rcases b with ⟨⟨b₁, b₂⟩, b₃⟩
simp [Prod.lex_def, and_or_left, or_assoc, and_assoc]⟩⟩
mul_one a :=
inductionOn a fun α r _ =>
Quotient.sound
⟨⟨punitProd _, @fun a b => by
rcases a with ⟨⟨⟨⟩⟩, a⟩; rcases b with ⟨⟨⟨⟩⟩, b⟩
simp only [Prod.lex_def, EmptyRelation, false_or_iff]
simp only [eq_self_iff_true, true_and_iff]
rfl⟩⟩
one_mul a :=
inductionOn a fun α r _ =>
Quotient.sound
⟨⟨prodPUnit _, @fun a b => by
rcases a with ⟨a, ⟨⟨⟩⟩⟩; rcases b with ⟨b, ⟨⟨⟩⟩⟩
simp only [Prod.lex_def, EmptyRelation, and_false_iff, or_false_iff]
rfl⟩⟩
@[simp]
theorem type_prod_lex {α β : Type u} (r : α → α → Prop) (s : β → β → Prop) [IsWellOrder α r]
[IsWellOrder β s] : type (Prod.Lex s r) = type r * type s :=
rfl
#align ordinal.type_prod_lex Ordinal.type_prod_lex
private theorem mul_eq_zero' {a b : Ordinal} : a * b = 0 ↔ a = 0 ∨ b = 0 :=
inductionOn a fun α _ _ =>
inductionOn b fun β _ _ => by
simp_rw [← type_prod_lex, type_eq_zero_iff_isEmpty]
rw [or_comm]
exact isEmpty_prod
instance monoidWithZero : MonoidWithZero Ordinal :=
{ Ordinal.monoid with
zero := 0
mul_zero := fun _a => mul_eq_zero'.2 <| Or.inr rfl
zero_mul := fun _a => mul_eq_zero'.2 <| Or.inl rfl }
instance noZeroDivisors : NoZeroDivisors Ordinal :=
⟨fun {_ _} => mul_eq_zero'.1⟩
@[simp]
theorem lift_mul (a b : Ordinal.{v}) : lift.{u} (a * b) = lift.{u} a * lift.{u} b :=
Quotient.inductionOn₂ a b fun ⟨_α, _r, _⟩ ⟨_β, _s, _⟩ =>
Quotient.sound
⟨(RelIso.preimage Equiv.ulift _).trans
(RelIso.prodLexCongr (RelIso.preimage Equiv.ulift _)
(RelIso.preimage Equiv.ulift _)).symm⟩
#align ordinal.lift_mul Ordinal.lift_mul
@[simp]
theorem card_mul (a b) : card (a * b) = card a * card b :=
Quotient.inductionOn₂ a b fun ⟨α, _r, _⟩ ⟨β, _s, _⟩ => mul_comm #β #α
#align ordinal.card_mul Ordinal.card_mul
instance leftDistribClass : LeftDistribClass Ordinal.{u} :=
⟨fun a b c =>
Quotient.inductionOn₃ a b c fun ⟨α, r, _⟩ ⟨β, s, _⟩ ⟨γ, t, _⟩ =>
Quotient.sound
⟨⟨sumProdDistrib _ _ _, by
rintro ⟨a₁ | a₁, a₂⟩ ⟨b₁ | b₁, b₂⟩ <;>
simp only [Prod.lex_def, Sum.lex_inl_inl, Sum.Lex.sep, Sum.lex_inr_inl,
Sum.lex_inr_inr, sumProdDistrib_apply_left, sumProdDistrib_apply_right] <;>
-- Porting note: `Sum.inr.inj_iff` is required.
simp only [Sum.inl.inj_iff, Sum.inr.inj_iff,
true_or_iff, false_and_iff, false_or_iff]⟩⟩⟩
theorem mul_succ (a b : Ordinal) : a * succ b = a * b + a :=
mul_add_one a b
#align ordinal.mul_succ Ordinal.mul_succ
instance mul_covariantClass_le : CovariantClass Ordinal.{u} Ordinal.{u} (· * ·) (· ≤ ·) :=
⟨fun c a b =>
Quotient.inductionOn₃ a b c fun ⟨α, r, _⟩ ⟨β, s, _⟩ ⟨γ, t, _⟩ ⟨f⟩ => by
refine
(RelEmbedding.ofMonotone (fun a : α × γ => (f a.1, a.2)) fun a b h => ?_).ordinal_type_le
cases' h with a₁ b₁ a₂ b₂ h' a b₁ b₂ h'
· exact Prod.Lex.left _ _ (f.toRelEmbedding.map_rel_iff.2 h')
· exact Prod.Lex.right _ h'⟩
#align ordinal.mul_covariant_class_le Ordinal.mul_covariantClass_le
instance mul_swap_covariantClass_le :
CovariantClass Ordinal.{u} Ordinal.{u} (swap (· * ·)) (· ≤ ·) :=
⟨fun c a b =>
Quotient.inductionOn₃ a b c fun ⟨α, r, _⟩ ⟨β, s, _⟩ ⟨γ, t, _⟩ ⟨f⟩ => by
refine
(RelEmbedding.ofMonotone (fun a : γ × α => (a.1, f a.2)) fun a b h => ?_).ordinal_type_le
cases' h with a₁ b₁ a₂ b₂ h' a b₁ b₂ h'
· exact Prod.Lex.left _ _ h'
· exact Prod.Lex.right _ (f.toRelEmbedding.map_rel_iff.2 h')⟩
#align ordinal.mul_swap_covariant_class_le Ordinal.mul_swap_covariantClass_le
theorem le_mul_left (a : Ordinal) {b : Ordinal} (hb : 0 < b) : a ≤ a * b := by
convert mul_le_mul_left' (one_le_iff_pos.2 hb) a
rw [mul_one a]
#align ordinal.le_mul_left Ordinal.le_mul_left
theorem le_mul_right (a : Ordinal) {b : Ordinal} (hb : 0 < b) : a ≤ b * a := by
convert mul_le_mul_right' (one_le_iff_pos.2 hb) a
rw [one_mul a]
#align ordinal.le_mul_right Ordinal.le_mul_right
private theorem mul_le_of_limit_aux {α β r s} [IsWellOrder α r] [IsWellOrder β s] {c}
(h : IsLimit (type s)) (H : ∀ b' < type s, type r * b' ≤ c) (l : c < type r * type s) :
False := by
suffices ∀ a b, Prod.Lex s r (b, a) (enum _ _ l) by
cases' enum _ _ l with b a
exact irrefl _ (this _ _)
intro a b
rw [← typein_lt_typein (Prod.Lex s r), typein_enum]
have := H _ (h.2 _ (typein_lt_type s b))
rw [mul_succ] at this
have := ((add_lt_add_iff_left _).2 (typein_lt_type _ a)).trans_le this
refine (RelEmbedding.ofMonotone (fun a => ?_) fun a b => ?_).ordinal_type_le.trans_lt this
· rcases a with ⟨⟨b', a'⟩, h⟩
by_cases e : b = b'
· refine Sum.inr ⟨a', ?_⟩
subst e
cases' h with _ _ _ _ h _ _ _ h
· exact (irrefl _ h).elim
· exact h
· refine Sum.inl (⟨b', ?_⟩, a')
cases' h with _ _ _ _ h _ _ _ h
· exact h
· exact (e rfl).elim
· rcases a with ⟨⟨b₁, a₁⟩, h₁⟩
rcases b with ⟨⟨b₂, a₂⟩, h₂⟩
intro h
by_cases e₁ : b = b₁ <;> by_cases e₂ : b = b₂
· substs b₁ b₂
simpa only [subrel_val, Prod.lex_def, @irrefl _ s _ b, true_and_iff, false_or_iff,
eq_self_iff_true, dif_pos, Sum.lex_inr_inr] using h
· subst b₁
simp only [subrel_val, Prod.lex_def, e₂, Prod.lex_def, dif_pos, subrel_val, eq_self_iff_true,
or_false_iff, dif_neg, not_false_iff, Sum.lex_inr_inl, false_and_iff] at h ⊢
cases' h₂ with _ _ _ _ h₂_h h₂_h <;> [exact asymm h h₂_h; exact e₂ rfl]
-- Porting note: `cc` hadn't ported yet.
· simp [e₂, dif_neg e₁, show b₂ ≠ b₁ from e₂ ▸ e₁]
· simpa only [dif_neg e₁, dif_neg e₂, Prod.lex_def, subrel_val, Subtype.mk_eq_mk,
Sum.lex_inl_inl] using h
theorem mul_le_of_limit {a b c : Ordinal} (h : IsLimit b) : a * b ≤ c ↔ ∀ b' < b, a * b' ≤ c :=
⟨fun h b' l => (mul_le_mul_left' l.le _).trans h, fun H =>
-- Porting note: `induction` tactics are required because of the parser bug.
le_of_not_lt <| by
induction a using inductionOn with
| H α r =>
induction b using inductionOn with
| H β s =>
exact mul_le_of_limit_aux h H⟩
#align ordinal.mul_le_of_limit Ordinal.mul_le_of_limit
theorem mul_isNormal {a : Ordinal} (h : 0 < a) : IsNormal (a * ·) :=
-- Porting note(#12129): additional beta reduction needed
⟨fun b => by
beta_reduce
rw [mul_succ]
simpa only [add_zero] using (add_lt_add_iff_left (a * b)).2 h,
fun b l c => mul_le_of_limit l⟩
#align ordinal.mul_is_normal Ordinal.mul_isNormal
theorem lt_mul_of_limit {a b c : Ordinal} (h : IsLimit c) : a < b * c ↔ ∃ c' < c, a < b * c' := by
-- Porting note: `bex_def` is required.
simpa only [not_forall₂, not_le, bex_def] using not_congr (@mul_le_of_limit b c a h)
#align ordinal.lt_mul_of_limit Ordinal.lt_mul_of_limit
theorem mul_lt_mul_iff_left {a b c : Ordinal} (a0 : 0 < a) : a * b < a * c ↔ b < c :=
(mul_isNormal a0).lt_iff
#align ordinal.mul_lt_mul_iff_left Ordinal.mul_lt_mul_iff_left
theorem mul_le_mul_iff_left {a b c : Ordinal} (a0 : 0 < a) : a * b ≤ a * c ↔ b ≤ c :=
(mul_isNormal a0).le_iff
#align ordinal.mul_le_mul_iff_left Ordinal.mul_le_mul_iff_left
theorem mul_lt_mul_of_pos_left {a b c : Ordinal} (h : a < b) (c0 : 0 < c) : c * a < c * b :=
(mul_lt_mul_iff_left c0).2 h
#align ordinal.mul_lt_mul_of_pos_left Ordinal.mul_lt_mul_of_pos_left
theorem mul_pos {a b : Ordinal} (h₁ : 0 < a) (h₂ : 0 < b) : 0 < a * b := by
simpa only [mul_zero] using mul_lt_mul_of_pos_left h₂ h₁
#align ordinal.mul_pos Ordinal.mul_pos
theorem mul_ne_zero {a b : Ordinal} : a ≠ 0 → b ≠ 0 → a * b ≠ 0 := by
simpa only [Ordinal.pos_iff_ne_zero] using mul_pos
#align ordinal.mul_ne_zero Ordinal.mul_ne_zero
theorem le_of_mul_le_mul_left {a b c : Ordinal} (h : c * a ≤ c * b) (h0 : 0 < c) : a ≤ b :=
le_imp_le_of_lt_imp_lt (fun h' => mul_lt_mul_of_pos_left h' h0) h
#align ordinal.le_of_mul_le_mul_left Ordinal.le_of_mul_le_mul_left
theorem mul_right_inj {a b c : Ordinal} (a0 : 0 < a) : a * b = a * c ↔ b = c :=
(mul_isNormal a0).inj
#align ordinal.mul_right_inj Ordinal.mul_right_inj
theorem mul_isLimit {a b : Ordinal} (a0 : 0 < a) : IsLimit b → IsLimit (a * b) :=
(mul_isNormal a0).isLimit
#align ordinal.mul_is_limit Ordinal.mul_isLimit
theorem mul_isLimit_left {a b : Ordinal} (l : IsLimit a) (b0 : 0 < b) : IsLimit (a * b) := by
rcases zero_or_succ_or_limit b with (rfl | ⟨b, rfl⟩ | lb)
· exact b0.false.elim
· rw [mul_succ]
exact add_isLimit _ l
· exact mul_isLimit l.pos lb
#align ordinal.mul_is_limit_left Ordinal.mul_isLimit_left
theorem smul_eq_mul : ∀ (n : ℕ) (a : Ordinal), n • a = a * n
| 0, a => by rw [zero_nsmul, Nat.cast_zero, mul_zero]
| n + 1, a => by rw [succ_nsmul, Nat.cast_add, mul_add, Nat.cast_one, mul_one, smul_eq_mul n]
#align ordinal.smul_eq_mul Ordinal.smul_eq_mul
theorem div_nonempty {a b : Ordinal} (h : b ≠ 0) : { o | a < b * succ o }.Nonempty :=
⟨a, (succ_le_iff (a := a) (b := b * succ a)).1 <| by
simpa only [succ_zero, one_mul] using
mul_le_mul_right' (succ_le_of_lt (Ordinal.pos_iff_ne_zero.2 h)) (succ a)⟩
#align ordinal.div_nonempty Ordinal.div_nonempty
instance div : Div Ordinal :=
⟨fun a b => if _h : b = 0 then 0 else sInf { o | a < b * succ o }⟩
@[simp]
theorem div_zero (a : Ordinal) : a / 0 = 0 :=
dif_pos rfl
#align ordinal.div_zero Ordinal.div_zero
theorem div_def (a) {b : Ordinal} (h : b ≠ 0) : a / b = sInf { o | a < b * succ o } :=
dif_neg h
#align ordinal.div_def Ordinal.div_def
theorem lt_mul_succ_div (a) {b : Ordinal} (h : b ≠ 0) : a < b * succ (a / b) := by
rw [div_def a h]; exact csInf_mem (div_nonempty h)
#align ordinal.lt_mul_succ_div Ordinal.lt_mul_succ_div
theorem lt_mul_div_add (a) {b : Ordinal} (h : b ≠ 0) : a < b * (a / b) + b := by
simpa only [mul_succ] using lt_mul_succ_div a h
#align ordinal.lt_mul_div_add Ordinal.lt_mul_div_add
theorem div_le {a b c : Ordinal} (b0 : b ≠ 0) : a / b ≤ c ↔ a < b * succ c :=
⟨fun h => (lt_mul_succ_div a b0).trans_le (mul_le_mul_left' (succ_le_succ_iff.2 h) _), fun h => by
rw [div_def a b0]; exact csInf_le' h⟩
#align ordinal.div_le Ordinal.div_le
theorem lt_div {a b c : Ordinal} (h : c ≠ 0) : a < b / c ↔ c * succ a ≤ b := by
rw [← not_le, div_le h, not_lt]
#align ordinal.lt_div Ordinal.lt_div
theorem div_pos {b c : Ordinal} (h : c ≠ 0) : 0 < b / c ↔ c ≤ b := by simp [lt_div h]
#align ordinal.div_pos Ordinal.div_pos
theorem le_div {a b c : Ordinal} (c0 : c ≠ 0) : a ≤ b / c ↔ c * a ≤ b := by
induction a using limitRecOn with
| H₁ => simp only [mul_zero, Ordinal.zero_le]
| H₂ _ _ => rw [succ_le_iff, lt_div c0]
| H₃ _ h₁ h₂ =>
revert h₁ h₂
simp (config := { contextual := true }) only [mul_le_of_limit, limit_le, iff_self_iff,
forall_true_iff]
#align ordinal.le_div Ordinal.le_div
theorem div_lt {a b c : Ordinal} (b0 : b ≠ 0) : a / b < c ↔ a < b * c :=
lt_iff_lt_of_le_iff_le <| le_div b0
#align ordinal.div_lt Ordinal.div_lt
theorem div_le_of_le_mul {a b c : Ordinal} (h : a ≤ b * c) : a / b ≤ c :=
if b0 : b = 0 then by simp only [b0, div_zero, Ordinal.zero_le]
else
(div_le b0).2 <| h.trans_lt <| mul_lt_mul_of_pos_left (lt_succ c) (Ordinal.pos_iff_ne_zero.2 b0)
#align ordinal.div_le_of_le_mul Ordinal.div_le_of_le_mul
theorem mul_lt_of_lt_div {a b c : Ordinal} : a < b / c → c * a < b :=
lt_imp_lt_of_le_imp_le div_le_of_le_mul
#align ordinal.mul_lt_of_lt_div Ordinal.mul_lt_of_lt_div
@[simp]
theorem zero_div (a : Ordinal) : 0 / a = 0 :=
Ordinal.le_zero.1 <| div_le_of_le_mul <| Ordinal.zero_le _
#align ordinal.zero_div Ordinal.zero_div
theorem mul_div_le (a b : Ordinal) : b * (a / b) ≤ a :=
if b0 : b = 0 then by simp only [b0, zero_mul, Ordinal.zero_le] else (le_div b0).1 le_rfl
#align ordinal.mul_div_le Ordinal.mul_div_le
theorem mul_add_div (a) {b : Ordinal} (b0 : b ≠ 0) (c) : (b * a + c) / b = a + c / b := by
apply le_antisymm
· apply (div_le b0).2
rw [mul_succ, mul_add, add_assoc, add_lt_add_iff_left]
apply lt_mul_div_add _ b0
· rw [le_div b0, mul_add, add_le_add_iff_left]
apply mul_div_le
#align ordinal.mul_add_div Ordinal.mul_add_div
theorem div_eq_zero_of_lt {a b : Ordinal} (h : a < b) : a / b = 0 := by
rw [← Ordinal.le_zero, div_le <| Ordinal.pos_iff_ne_zero.1 <| (Ordinal.zero_le _).trans_lt h]
simpa only [succ_zero, mul_one] using h
#align ordinal.div_eq_zero_of_lt Ordinal.div_eq_zero_of_lt
@[simp]
theorem mul_div_cancel (a) {b : Ordinal} (b0 : b ≠ 0) : b * a / b = a := by
simpa only [add_zero, zero_div] using mul_add_div a b0 0
#align ordinal.mul_div_cancel Ordinal.mul_div_cancel
@[simp]
theorem div_one (a : Ordinal) : a / 1 = a := by
simpa only [one_mul] using mul_div_cancel a Ordinal.one_ne_zero
#align ordinal.div_one Ordinal.div_one
@[simp]
theorem div_self {a : Ordinal} (h : a ≠ 0) : a / a = 1 := by
simpa only [mul_one] using mul_div_cancel 1 h
#align ordinal.div_self Ordinal.div_self
theorem mul_sub (a b c : Ordinal) : a * (b - c) = a * b - a * c :=
if a0 : a = 0 then by simp only [a0, zero_mul, sub_self]
else
eq_of_forall_ge_iff fun d => by rw [sub_le, ← le_div a0, sub_le, ← le_div a0, mul_add_div _ a0]
#align ordinal.mul_sub Ordinal.mul_sub
theorem isLimit_add_iff {a b} : IsLimit (a + b) ↔ IsLimit b ∨ b = 0 ∧ IsLimit a := by
constructor <;> intro h
· by_cases h' : b = 0
· rw [h', add_zero] at h
right
exact ⟨h', h⟩
left
rw [← add_sub_cancel a b]
apply sub_isLimit h
suffices a + 0 < a + b by simpa only [add_zero] using this
rwa [add_lt_add_iff_left, Ordinal.pos_iff_ne_zero]
rcases h with (h | ⟨rfl, h⟩)
· exact add_isLimit a h
· simpa only [add_zero]
#align ordinal.is_limit_add_iff Ordinal.isLimit_add_iff
theorem dvd_add_iff : ∀ {a b c : Ordinal}, a ∣ b → (a ∣ b + c ↔ a ∣ c)
| a, _, c, ⟨b, rfl⟩ =>
⟨fun ⟨d, e⟩ => ⟨d - b, by rw [mul_sub, ← e, add_sub_cancel]⟩, fun ⟨d, e⟩ => by
rw [e, ← mul_add]
apply dvd_mul_right⟩
#align ordinal.dvd_add_iff Ordinal.dvd_add_iff
theorem div_mul_cancel : ∀ {a b : Ordinal}, a ≠ 0 → a ∣ b → a * (b / a) = b
| a, _, a0, ⟨b, rfl⟩ => by rw [mul_div_cancel _ a0]
#align ordinal.div_mul_cancel Ordinal.div_mul_cancel
theorem le_of_dvd : ∀ {a b : Ordinal}, b ≠ 0 → a ∣ b → a ≤ b
-- Porting note: `⟨b, rfl⟩ => by` → `⟨b, e⟩ => by subst e`
| a, _, b0, ⟨b, e⟩ => by
subst e
-- Porting note: `Ne` is required.
simpa only [mul_one] using
mul_le_mul_left'
(one_le_iff_ne_zero.2 fun h : b = 0 => by
simp only [h, mul_zero, Ne, not_true_eq_false] at b0) a
#align ordinal.le_of_dvd Ordinal.le_of_dvd
theorem dvd_antisymm {a b : Ordinal} (h₁ : a ∣ b) (h₂ : b ∣ a) : a = b :=
if a0 : a = 0 then by subst a; exact (eq_zero_of_zero_dvd h₁).symm
else
if b0 : b = 0 then by subst b; exact eq_zero_of_zero_dvd h₂
else (le_of_dvd b0 h₁).antisymm (le_of_dvd a0 h₂)
#align ordinal.dvd_antisymm Ordinal.dvd_antisymm
instance isAntisymm : IsAntisymm Ordinal (· ∣ ·) :=
⟨@dvd_antisymm⟩
instance mod : Mod Ordinal :=
⟨fun a b => a - b * (a / b)⟩
theorem mod_def (a b : Ordinal) : a % b = a - b * (a / b) :=
rfl
#align ordinal.mod_def Ordinal.mod_def
theorem mod_le (a b : Ordinal) : a % b ≤ a :=
sub_le_self a _
#align ordinal.mod_le Ordinal.mod_le
@[simp]
theorem mod_zero (a : Ordinal) : a % 0 = a := by simp only [mod_def, div_zero, zero_mul, sub_zero]
#align ordinal.mod_zero Ordinal.mod_zero
theorem mod_eq_of_lt {a b : Ordinal} (h : a < b) : a % b = a := by
simp only [mod_def, div_eq_zero_of_lt h, mul_zero, sub_zero]
#align ordinal.mod_eq_of_lt Ordinal.mod_eq_of_lt
@[simp]
theorem zero_mod (b : Ordinal) : 0 % b = 0 := by simp only [mod_def, zero_div, mul_zero, sub_self]
#align ordinal.zero_mod Ordinal.zero_mod
theorem div_add_mod (a b : Ordinal) : b * (a / b) + a % b = a :=
Ordinal.add_sub_cancel_of_le <| mul_div_le _ _
#align ordinal.div_add_mod Ordinal.div_add_mod
theorem mod_lt (a) {b : Ordinal} (h : b ≠ 0) : a % b < b :=
(add_lt_add_iff_left (b * (a / b))).1 <| by rw [div_add_mod]; exact lt_mul_div_add a h
#align ordinal.mod_lt Ordinal.mod_lt
@[simp]
theorem mod_self (a : Ordinal) : a % a = 0 :=
if a0 : a = 0 then by simp only [a0, zero_mod]
else by simp only [mod_def, div_self a0, mul_one, sub_self]
#align ordinal.mod_self Ordinal.mod_self
@[simp]
theorem mod_one (a : Ordinal) : a % 1 = 0 := by simp only [mod_def, div_one, one_mul, sub_self]
#align ordinal.mod_one Ordinal.mod_one
theorem dvd_of_mod_eq_zero {a b : Ordinal} (H : a % b = 0) : b ∣ a :=
⟨a / b, by simpa [H] using (div_add_mod a b).symm⟩
#align ordinal.dvd_of_mod_eq_zero Ordinal.dvd_of_mod_eq_zero
theorem mod_eq_zero_of_dvd {a b : Ordinal} (H : b ∣ a) : a % b = 0 := by
rcases H with ⟨c, rfl⟩
rcases eq_or_ne b 0 with (rfl | hb)
· simp
· simp [mod_def, hb]
#align ordinal.mod_eq_zero_of_dvd Ordinal.mod_eq_zero_of_dvd
theorem dvd_iff_mod_eq_zero {a b : Ordinal} : b ∣ a ↔ a % b = 0 :=
⟨mod_eq_zero_of_dvd, dvd_of_mod_eq_zero⟩
#align ordinal.dvd_iff_mod_eq_zero Ordinal.dvd_iff_mod_eq_zero
@[simp]
theorem mul_add_mod_self (x y z : Ordinal) : (x * y + z) % x = z % x := by
rcases eq_or_ne x 0 with rfl | hx
· simp
· rwa [mod_def, mul_add_div, mul_add, ← sub_sub, add_sub_cancel, mod_def]
#align ordinal.mul_add_mod_self Ordinal.mul_add_mod_self
@[simp]
theorem mul_mod (x y : Ordinal) : x * y % x = 0 := by
simpa using mul_add_mod_self x y 0
#align ordinal.mul_mod Ordinal.mul_mod
theorem mod_mod_of_dvd (a : Ordinal) {b c : Ordinal} (h : c ∣ b) : a % b % c = a % c := by
nth_rw 2 [← div_add_mod a b]
rcases h with ⟨d, rfl⟩
rw [mul_assoc, mul_add_mod_self]
#align ordinal.mod_mod_of_dvd Ordinal.mod_mod_of_dvd
@[simp]
theorem mod_mod (a b : Ordinal) : a % b % b = a % b :=
mod_mod_of_dvd a dvd_rfl
#align ordinal.mod_mod Ordinal.mod_mod
def bfamilyOfFamily' {ι : Type u} (r : ι → ι → Prop) [IsWellOrder ι r] (f : ι → α) :
∀ a < type r, α := fun a ha => f (enum r a ha)
#align ordinal.bfamily_of_family' Ordinal.bfamilyOfFamily'
def bfamilyOfFamily {ι : Type u} : (ι → α) → ∀ a < type (@WellOrderingRel ι), α :=
bfamilyOfFamily' WellOrderingRel
#align ordinal.bfamily_of_family Ordinal.bfamilyOfFamily
def familyOfBFamily' {ι : Type u} (r : ι → ι → Prop) [IsWellOrder ι r] {o} (ho : type r = o)
(f : ∀ a < o, α) : ι → α := fun i =>
f (typein r i)
(by
rw [← ho]
exact typein_lt_type r i)
#align ordinal.family_of_bfamily' Ordinal.familyOfBFamily'
def familyOfBFamily (o : Ordinal) (f : ∀ a < o, α) : o.out.α → α :=
familyOfBFamily' (· < ·) (type_lt o) f
#align ordinal.family_of_bfamily Ordinal.familyOfBFamily
@[simp]
theorem bfamilyOfFamily'_typein {ι} (r : ι → ι → Prop) [IsWellOrder ι r] (f : ι → α) (i) :
bfamilyOfFamily' r f (typein r i) (typein_lt_type r i) = f i := by
simp only [bfamilyOfFamily', enum_typein]
#align ordinal.bfamily_of_family'_typein Ordinal.bfamilyOfFamily'_typein
@[simp]
theorem bfamilyOfFamily_typein {ι} (f : ι → α) (i) :
bfamilyOfFamily f (typein _ i) (typein_lt_type _ i) = f i :=
bfamilyOfFamily'_typein _ f i
#align ordinal.bfamily_of_family_typein Ordinal.bfamilyOfFamily_typein
@[simp, nolint simpNF] -- Porting note (#10959): simp cannot prove this
theorem familyOfBFamily'_enum {ι : Type u} (r : ι → ι → Prop) [IsWellOrder ι r] {o}
(ho : type r = o) (f : ∀ a < o, α) (i hi) :
familyOfBFamily' r ho f (enum r i (by rwa [ho])) = f i hi := by
simp only [familyOfBFamily', typein_enum]
#align ordinal.family_of_bfamily'_enum Ordinal.familyOfBFamily'_enum
@[simp, nolint simpNF] -- Porting note (#10959): simp cannot prove this
theorem familyOfBFamily_enum (o : Ordinal) (f : ∀ a < o, α) (i hi) :
familyOfBFamily o f
(enum (· < ·) i
(by
convert hi
exact type_lt _)) =
f i hi :=
familyOfBFamily'_enum _ (type_lt o) f _ _
#align ordinal.family_of_bfamily_enum Ordinal.familyOfBFamily_enum
def brange (o : Ordinal) (f : ∀ a < o, α) : Set α :=
{ a | ∃ i hi, f i hi = a }
#align ordinal.brange Ordinal.brange
theorem mem_brange {o : Ordinal} {f : ∀ a < o, α} {a} : a ∈ brange o f ↔ ∃ i hi, f i hi = a :=
Iff.rfl
#align ordinal.mem_brange Ordinal.mem_brange
theorem mem_brange_self {o} (f : ∀ a < o, α) (i hi) : f i hi ∈ brange o f :=
⟨i, hi, rfl⟩
#align ordinal.mem_brange_self Ordinal.mem_brange_self
@[simp]
theorem range_familyOfBFamily' {ι : Type u} (r : ι → ι → Prop) [IsWellOrder ι r] {o}
(ho : type r = o) (f : ∀ a < o, α) : range (familyOfBFamily' r ho f) = brange o f := by
refine Set.ext fun a => ⟨?_, ?_⟩
· rintro ⟨b, rfl⟩
apply mem_brange_self
· rintro ⟨i, hi, rfl⟩
exact ⟨_, familyOfBFamily'_enum _ _ _ _ _⟩
#align ordinal.range_family_of_bfamily' Ordinal.range_familyOfBFamily'
@[simp]
theorem range_familyOfBFamily {o} (f : ∀ a < o, α) : range (familyOfBFamily o f) = brange o f :=
range_familyOfBFamily' _ _ f
#align ordinal.range_family_of_bfamily Ordinal.range_familyOfBFamily
@[simp]
theorem brange_bfamilyOfFamily' {ι : Type u} (r : ι → ι → Prop) [IsWellOrder ι r] (f : ι → α) :
brange _ (bfamilyOfFamily' r f) = range f := by
refine Set.ext fun a => ⟨?_, ?_⟩
· rintro ⟨i, hi, rfl⟩
apply mem_range_self
· rintro ⟨b, rfl⟩
exact ⟨_, _, bfamilyOfFamily'_typein _ _ _⟩
#align ordinal.brange_bfamily_of_family' Ordinal.brange_bfamilyOfFamily'
@[simp]
theorem brange_bfamilyOfFamily {ι : Type u} (f : ι → α) : brange _ (bfamilyOfFamily f) = range f :=
brange_bfamilyOfFamily' _ _
#align ordinal.brange_bfamily_of_family Ordinal.brange_bfamilyOfFamily
@[simp]
theorem brange_const {o : Ordinal} (ho : o ≠ 0) {c : α} : (brange o fun _ _ => c) = {c} := by
rw [← range_familyOfBFamily]
exact @Set.range_const _ o.out.α (out_nonempty_iff_ne_zero.2 ho) c
#align ordinal.brange_const Ordinal.brange_const
theorem comp_bfamilyOfFamily' {ι : Type u} (r : ι → ι → Prop) [IsWellOrder ι r] (f : ι → α)
(g : α → β) : (fun i hi => g (bfamilyOfFamily' r f i hi)) = bfamilyOfFamily' r (g ∘ f) :=
rfl
#align ordinal.comp_bfamily_of_family' Ordinal.comp_bfamilyOfFamily'
theorem comp_bfamilyOfFamily {ι : Type u} (f : ι → α) (g : α → β) :
(fun i hi => g (bfamilyOfFamily f i hi)) = bfamilyOfFamily (g ∘ f) :=
rfl
#align ordinal.comp_bfamily_of_family Ordinal.comp_bfamilyOfFamily
theorem comp_familyOfBFamily' {ι : Type u} (r : ι → ι → Prop) [IsWellOrder ι r] {o}
(ho : type r = o) (f : ∀ a < o, α) (g : α → β) :
g ∘ familyOfBFamily' r ho f = familyOfBFamily' r ho fun i hi => g (f i hi) :=
rfl
#align ordinal.comp_family_of_bfamily' Ordinal.comp_familyOfBFamily'
theorem comp_familyOfBFamily {o} (f : ∀ a < o, α) (g : α → β) :
g ∘ familyOfBFamily o f = familyOfBFamily o fun i hi => g (f i hi) :=
rfl
#align ordinal.comp_family_of_bfamily Ordinal.comp_familyOfBFamily
-- Porting note: Universes should be specified in `sup`s.
def sup {ι : Type u} (f : ι → Ordinal.{max u v}) : Ordinal.{max u v} :=
iSup f
#align ordinal.sup Ordinal.sup
@[simp]
theorem sSup_eq_sup {ι : Type u} (f : ι → Ordinal.{max u v}) : sSup (Set.range f) = sup.{_, v} f :=
rfl
#align ordinal.Sup_eq_sup Ordinal.sSup_eq_sup
theorem bddAbove_range {ι : Type u} (f : ι → Ordinal.{max u v}) : BddAbove (Set.range f) :=
⟨(iSup (succ ∘ card ∘ f)).ord, by
rintro a ⟨i, rfl⟩
exact le_of_lt (Cardinal.lt_ord.2 ((lt_succ _).trans_le
(le_ciSup (Cardinal.bddAbove_range.{_, v} _) _)))⟩
#align ordinal.bdd_above_range Ordinal.bddAbove_range
theorem le_sup {ι : Type u} (f : ι → Ordinal.{max u v}) : ∀ i, f i ≤ sup.{_, v} f := fun i =>
le_csSup (bddAbove_range.{_, v} f) (mem_range_self i)
#align ordinal.le_sup Ordinal.le_sup
theorem sup_le_iff {ι : Type u} {f : ι → Ordinal.{max u v}} {a} : sup.{_, v} f ≤ a ↔ ∀ i, f i ≤ a :=
(csSup_le_iff' (bddAbove_range.{_, v} f)).trans (by simp)
#align ordinal.sup_le_iff Ordinal.sup_le_iff
theorem sup_le {ι : Type u} {f : ι → Ordinal.{max u v}} {a} : (∀ i, f i ≤ a) → sup.{_, v} f ≤ a :=
sup_le_iff.2
#align ordinal.sup_le Ordinal.sup_le
theorem lt_sup {ι : Type u} {f : ι → Ordinal.{max u v}} {a} : a < sup.{_, v} f ↔ ∃ i, a < f i := by
simpa only [not_forall, not_le] using not_congr (@sup_le_iff.{_, v} _ f a)
#align ordinal.lt_sup Ordinal.lt_sup
theorem ne_sup_iff_lt_sup {ι : Type u} {f : ι → Ordinal.{max u v}} :
(∀ i, f i ≠ sup.{_, v} f) ↔ ∀ i, f i < sup.{_, v} f :=
⟨fun hf _ => lt_of_le_of_ne (le_sup _ _) (hf _), fun hf _ => ne_of_lt (hf _)⟩
#align ordinal.ne_sup_iff_lt_sup Ordinal.ne_sup_iff_lt_sup
theorem sup_not_succ_of_ne_sup {ι : Type u} {f : ι → Ordinal.{max u v}}
(hf : ∀ i, f i ≠ sup.{_, v} f) {a} (hao : a < sup.{_, v} f) : succ a < sup.{_, v} f := by
by_contra! hoa
exact
hao.not_le (sup_le fun i => le_of_lt_succ <| (lt_of_le_of_ne (le_sup _ _) (hf i)).trans_le hoa)
#align ordinal.sup_not_succ_of_ne_sup Ordinal.sup_not_succ_of_ne_sup
@[simp]
theorem sup_eq_zero_iff {ι : Type u} {f : ι → Ordinal.{max u v}} :
sup.{_, v} f = 0 ↔ ∀ i, f i = 0 := by
refine
⟨fun h i => ?_, fun h =>
le_antisymm (sup_le fun i => Ordinal.le_zero.2 (h i)) (Ordinal.zero_le _)⟩
rw [← Ordinal.le_zero, ← h]
exact le_sup f i
#align ordinal.sup_eq_zero_iff Ordinal.sup_eq_zero_iff
theorem IsNormal.sup {f : Ordinal.{max u v} → Ordinal.{max u w}} (H : IsNormal f) {ι : Type u}
(g : ι → Ordinal.{max u v}) [Nonempty ι] : f (sup.{_, v} g) = sup.{_, w} (f ∘ g) :=
eq_of_forall_ge_iff fun a => by
rw [sup_le_iff]; simp only [comp]; rw [H.le_set' Set.univ Set.univ_nonempty g] <;>
simp [sup_le_iff]
#align ordinal.is_normal.sup Ordinal.IsNormal.sup
@[simp]
theorem sup_empty {ι} [IsEmpty ι] (f : ι → Ordinal) : sup f = 0 :=
ciSup_of_empty f
#align ordinal.sup_empty Ordinal.sup_empty
@[simp]
theorem sup_const {ι} [_hι : Nonempty ι] (o : Ordinal) : (sup fun _ : ι => o) = o :=
ciSup_const
#align ordinal.sup_const Ordinal.sup_const
@[simp]
theorem sup_unique {ι} [Unique ι] (f : ι → Ordinal) : sup f = f default :=
ciSup_unique
#align ordinal.sup_unique Ordinal.sup_unique
theorem sup_le_of_range_subset {ι ι'} {f : ι → Ordinal} {g : ι' → Ordinal}
(h : Set.range f ⊆ Set.range g) : sup.{u, max v w} f ≤ sup.{v, max u w} g :=
sup_le fun i =>
match h (mem_range_self i) with
| ⟨_j, hj⟩ => hj ▸ le_sup _ _
#align ordinal.sup_le_of_range_subset Ordinal.sup_le_of_range_subset
theorem sup_eq_of_range_eq {ι ι'} {f : ι → Ordinal} {g : ι' → Ordinal}
(h : Set.range f = Set.range g) : sup.{u, max v w} f = sup.{v, max u w} g :=
(sup_le_of_range_subset.{u, v, w} h.le).antisymm (sup_le_of_range_subset.{v, u, w} h.ge)
#align ordinal.sup_eq_of_range_eq Ordinal.sup_eq_of_range_eq
@[simp]
theorem sup_sum {α : Type u} {β : Type v} (f : Sum α β → Ordinal) :
sup.{max u v, w} f =
max (sup.{u, max v w} fun a => f (Sum.inl a)) (sup.{v, max u w} fun b => f (Sum.inr b)) := by
apply (sup_le_iff.2 _).antisymm (max_le_iff.2 ⟨_, _⟩)
· rintro (i | i)
· exact le_max_of_le_left (le_sup _ i)
· exact le_max_of_le_right (le_sup _ i)
all_goals
apply sup_le_of_range_subset.{_, max u v, w}
rintro i ⟨a, rfl⟩
apply mem_range_self
#align ordinal.sup_sum Ordinal.sup_sum
theorem unbounded_range_of_sup_ge {α β : Type u} (r : α → α → Prop) [IsWellOrder α r] (f : β → α)
(h : type r ≤ sup.{u, u} (typein r ∘ f)) : Unbounded r (range f) :=
(not_bounded_iff _).1 fun ⟨x, hx⟩ =>
not_lt_of_le h <|
lt_of_le_of_lt
(sup_le fun y => le_of_lt <| (typein_lt_typein r).2 <| hx _ <| mem_range_self y)
(typein_lt_type r x)
#align ordinal.unbounded_range_of_sup_ge Ordinal.unbounded_range_of_sup_ge
theorem le_sup_shrink_equiv {s : Set Ordinal.{u}} (hs : Small.{u} s) (a) (ha : a ∈ s) :
a ≤ sup.{u, u} fun x => ((@equivShrink s hs).symm x).val := by
convert le_sup.{u, u} (fun x => ((@equivShrink s hs).symm x).val) ((@equivShrink s hs) ⟨a, ha⟩)
rw [symm_apply_apply]
#align ordinal.le_sup_shrink_equiv Ordinal.le_sup_shrink_equiv
instance small_Iio (o : Ordinal.{u}) : Small.{u} (Set.Iio o) :=
let f : o.out.α → Set.Iio o :=
fun x => ⟨typein ((· < ·) : o.out.α → o.out.α → Prop) x, typein_lt_self x⟩
let hf : Surjective f := fun b =>
⟨enum (· < ·) b.val
(by
rw [type_lt]
exact b.prop),
Subtype.ext (typein_enum _ _)⟩
small_of_surjective hf
#align ordinal.small_Iio Ordinal.small_Iio
instance small_Iic (o : Ordinal.{u}) : Small.{u} (Set.Iic o) := by
rw [← Iio_succ]
infer_instance
#align ordinal.small_Iic Ordinal.small_Iic
theorem bddAbove_iff_small {s : Set Ordinal.{u}} : BddAbove s ↔ Small.{u} s :=
⟨fun ⟨a, h⟩ => small_subset <| show s ⊆ Iic a from fun _x hx => h hx, fun h =>
⟨sup.{u, u} fun x => ((@equivShrink s h).symm x).val, le_sup_shrink_equiv h⟩⟩
#align ordinal.bdd_above_iff_small Ordinal.bddAbove_iff_small
theorem bddAbove_of_small (s : Set Ordinal.{u}) [h : Small.{u} s] : BddAbove s :=
bddAbove_iff_small.2 h
#align ordinal.bdd_above_of_small Ordinal.bddAbove_of_small
theorem sup_eq_sSup {s : Set Ordinal.{u}} (hs : Small.{u} s) :
(sup.{u, u} fun x => (@equivShrink s hs).symm x) = sSup s :=
let hs' := bddAbove_iff_small.2 hs
((csSup_le_iff' hs').2 (le_sup_shrink_equiv hs)).antisymm'
(sup_le fun _x => le_csSup hs' (Subtype.mem _))
#align ordinal.sup_eq_Sup Ordinal.sup_eq_sSup
theorem sSup_ord {s : Set Cardinal.{u}} (hs : BddAbove s) : (sSup s).ord = sSup (ord '' s) :=
eq_of_forall_ge_iff fun a => by
rw [csSup_le_iff'
(bddAbove_iff_small.2 (@small_image _ _ _ s (Cardinal.bddAbove_iff_small.1 hs))),
ord_le, csSup_le_iff' hs]
simp [ord_le]
#align ordinal.Sup_ord Ordinal.sSup_ord
theorem iSup_ord {ι} {f : ι → Cardinal} (hf : BddAbove (range f)) :
(iSup f).ord = ⨆ i, (f i).ord := by
unfold iSup
convert sSup_ord hf
-- Porting note: `change` is required.
conv_lhs => change range (ord ∘ f)
rw [range_comp]
#align ordinal.supr_ord Ordinal.iSup_ord
private theorem sup_le_sup {ι ι' : Type u} (r : ι → ι → Prop) (r' : ι' → ι' → Prop)
[IsWellOrder ι r] [IsWellOrder ι' r'] {o} (ho : type r = o) (ho' : type r' = o)
(f : ∀ a < o, Ordinal.{max u v}) :
sup.{_, v} (familyOfBFamily' r ho f) ≤ sup.{_, v} (familyOfBFamily' r' ho' f) :=
sup_le fun i => by
cases'
typein_surj r'
(by
rw [ho', ← ho]
exact typein_lt_type r i) with
j hj
simp_rw [familyOfBFamily', ← hj]
apply le_sup
theorem sup_eq_sup {ι ι' : Type u} (r : ι → ι → Prop) (r' : ι' → ι' → Prop) [IsWellOrder ι r]
[IsWellOrder ι' r'] {o : Ordinal.{u}} (ho : type r = o) (ho' : type r' = o)
(f : ∀ a < o, Ordinal.{max u v}) :
sup.{_, v} (familyOfBFamily' r ho f) = sup.{_, v} (familyOfBFamily' r' ho' f) :=
sup_eq_of_range_eq.{u, u, v} (by simp)
#align ordinal.sup_eq_sup Ordinal.sup_eq_sup
def bsup (o : Ordinal.{u}) (f : ∀ a < o, Ordinal.{max u v}) : Ordinal.{max u v} :=
sup.{_, v} (familyOfBFamily o f)
#align ordinal.bsup Ordinal.bsup
@[simp]
theorem sup_eq_bsup {o : Ordinal.{u}} (f : ∀ a < o, Ordinal.{max u v}) :
sup.{_, v} (familyOfBFamily o f) = bsup.{_, v} o f :=
rfl
#align ordinal.sup_eq_bsup Ordinal.sup_eq_bsup
@[simp]
theorem sup_eq_bsup' {o : Ordinal.{u}} {ι} (r : ι → ι → Prop) [IsWellOrder ι r] (ho : type r = o)
(f : ∀ a < o, Ordinal.{max u v}) : sup.{_, v} (familyOfBFamily' r ho f) = bsup.{_, v} o f :=
sup_eq_sup r _ ho _ f
#align ordinal.sup_eq_bsup' Ordinal.sup_eq_bsup'
@[simp, nolint simpNF] -- Porting note (#10959): simp cannot prove this
theorem sSup_eq_bsup {o : Ordinal.{u}} (f : ∀ a < o, Ordinal.{max u v}) :
sSup (brange o f) = bsup.{_, v} o f := by
congr
rw [range_familyOfBFamily]
#align ordinal.Sup_eq_bsup Ordinal.sSup_eq_bsup
@[simp]
theorem bsup_eq_sup' {ι : Type u} (r : ι → ι → Prop) [IsWellOrder ι r] (f : ι → Ordinal.{max u v}) :
bsup.{_, v} _ (bfamilyOfFamily' r f) = sup.{_, v} f := by
simp (config := { unfoldPartialApp := true }) only [← sup_eq_bsup' r, enum_typein,
familyOfBFamily', bfamilyOfFamily']
#align ordinal.bsup_eq_sup' Ordinal.bsup_eq_sup'
theorem bsup_eq_bsup {ι : Type u} (r r' : ι → ι → Prop) [IsWellOrder ι r] [IsWellOrder ι r']
(f : ι → Ordinal.{max u v}) :
bsup.{_, v} _ (bfamilyOfFamily' r f) = bsup.{_, v} _ (bfamilyOfFamily' r' f) := by
rw [bsup_eq_sup', bsup_eq_sup']
#align ordinal.bsup_eq_bsup Ordinal.bsup_eq_bsup
@[simp]
theorem bsup_eq_sup {ι : Type u} (f : ι → Ordinal.{max u v}) :
bsup.{_, v} _ (bfamilyOfFamily f) = sup.{_, v} f :=
bsup_eq_sup' _ f
#align ordinal.bsup_eq_sup Ordinal.bsup_eq_sup
@[congr]
theorem bsup_congr {o₁ o₂ : Ordinal.{u}} (f : ∀ a < o₁, Ordinal.{max u v}) (ho : o₁ = o₂) :
bsup.{_, v} o₁ f = bsup.{_, v} o₂ fun a h => f a (h.trans_eq ho.symm) := by
subst ho
-- Porting note: `rfl` is required.
rfl
#align ordinal.bsup_congr Ordinal.bsup_congr
theorem bsup_le_iff {o f a} : bsup.{u, v} o f ≤ a ↔ ∀ i h, f i h ≤ a :=
sup_le_iff.trans
⟨fun h i hi => by
rw [← familyOfBFamily_enum o f]
exact h _, fun h i => h _ _⟩
#align ordinal.bsup_le_iff Ordinal.bsup_le_iff
theorem bsup_le {o : Ordinal} {f : ∀ b < o, Ordinal} {a} :
(∀ i h, f i h ≤ a) → bsup.{u, v} o f ≤ a :=
bsup_le_iff.2
#align ordinal.bsup_le Ordinal.bsup_le
theorem le_bsup {o} (f : ∀ a < o, Ordinal) (i h) : f i h ≤ bsup o f :=
bsup_le_iff.1 le_rfl _ _
#align ordinal.le_bsup Ordinal.le_bsup
theorem lt_bsup {o : Ordinal.{u}} (f : ∀ a < o, Ordinal.{max u v}) {a} :
a < bsup.{_, v} o f ↔ ∃ i hi, a < f i hi := by
simpa only [not_forall, not_le] using not_congr (@bsup_le_iff.{_, v} _ f a)
#align ordinal.lt_bsup Ordinal.lt_bsup
theorem IsNormal.bsup {f : Ordinal.{max u v} → Ordinal.{max u w}} (H : IsNormal f)
{o : Ordinal.{u}} :
∀ (g : ∀ a < o, Ordinal), o ≠ 0 → f (bsup.{_, v} o g) = bsup.{_, w} o fun a h => f (g a h) :=
inductionOn o fun α r _ g h => by
haveI := type_ne_zero_iff_nonempty.1 h
rw [← sup_eq_bsup' r, IsNormal.sup.{_, v, w} H, ← sup_eq_bsup' r] <;> rfl
#align ordinal.is_normal.bsup Ordinal.IsNormal.bsup
theorem lt_bsup_of_ne_bsup {o : Ordinal.{u}} {f : ∀ a < o, Ordinal.{max u v}} :
(∀ i h, f i h ≠ bsup.{_, v} o f) ↔ ∀ i h, f i h < bsup.{_, v} o f :=
⟨fun hf _ _ => lt_of_le_of_ne (le_bsup _ _ _) (hf _ _), fun hf _ _ => ne_of_lt (hf _ _)⟩
#align ordinal.lt_bsup_of_ne_bsup Ordinal.lt_bsup_of_ne_bsup
theorem bsup_not_succ_of_ne_bsup {o : Ordinal.{u}} {f : ∀ a < o, Ordinal.{max u v}}
(hf : ∀ {i : Ordinal} (h : i < o), f i h ≠ bsup.{_, v} o f) (a) :
a < bsup.{_, v} o f → succ a < bsup.{_, v} o f := by
rw [← sup_eq_bsup] at *
exact sup_not_succ_of_ne_sup fun i => hf _
#align ordinal.bsup_not_succ_of_ne_bsup Ordinal.bsup_not_succ_of_ne_bsup
@[simp]
theorem bsup_eq_zero_iff {o} {f : ∀ a < o, Ordinal} : bsup o f = 0 ↔ ∀ i hi, f i hi = 0 := by
refine
⟨fun h i hi => ?_, fun h =>
le_antisymm (bsup_le fun i hi => Ordinal.le_zero.2 (h i hi)) (Ordinal.zero_le _)⟩
rw [← Ordinal.le_zero, ← h]
exact le_bsup f i hi
#align ordinal.bsup_eq_zero_iff Ordinal.bsup_eq_zero_iff
theorem lt_bsup_of_limit {o : Ordinal} {f : ∀ a < o, Ordinal}
(hf : ∀ {a a'} (ha : a < o) (ha' : a' < o), a < a' → f a ha < f a' ha')
(ho : ∀ a < o, succ a < o) (i h) : f i h < bsup o f :=
(hf _ _ <| lt_succ i).trans_le (le_bsup f (succ i) <| ho _ h)
#align ordinal.lt_bsup_of_limit Ordinal.lt_bsup_of_limit
theorem bsup_succ_of_mono {o : Ordinal} {f : ∀ a < succ o, Ordinal}
(hf : ∀ {i j} (hi hj), i ≤ j → f i hi ≤ f j hj) : bsup _ f = f o (lt_succ o) :=
le_antisymm (bsup_le fun _i hi => hf _ _ <| le_of_lt_succ hi) (le_bsup _ _ _)
#align ordinal.bsup_succ_of_mono Ordinal.bsup_succ_of_mono
@[simp]
theorem bsup_zero (f : ∀ a < (0 : Ordinal), Ordinal) : bsup 0 f = 0 :=
bsup_eq_zero_iff.2 fun i hi => (Ordinal.not_lt_zero i hi).elim
#align ordinal.bsup_zero Ordinal.bsup_zero
theorem bsup_const {o : Ordinal.{u}} (ho : o ≠ 0) (a : Ordinal.{max u v}) :
(bsup.{_, v} o fun _ _ => a) = a :=
le_antisymm (bsup_le fun _ _ => le_rfl) (le_bsup _ 0 (Ordinal.pos_iff_ne_zero.2 ho))
#align ordinal.bsup_const Ordinal.bsup_const
@[simp]
theorem bsup_one (f : ∀ a < (1 : Ordinal), Ordinal) : bsup 1 f = f 0 zero_lt_one := by
simp_rw [← sup_eq_bsup, sup_unique, familyOfBFamily, familyOfBFamily', typein_one_out]
#align ordinal.bsup_one Ordinal.bsup_one
theorem bsup_le_of_brange_subset {o o'} {f : ∀ a < o, Ordinal} {g : ∀ a < o', Ordinal}
(h : brange o f ⊆ brange o' g) : bsup.{u, max v w} o f ≤ bsup.{v, max u w} o' g :=
bsup_le fun i hi => by
obtain ⟨j, hj, hj'⟩ := h ⟨i, hi, rfl⟩
rw [← hj']
apply le_bsup
#align ordinal.bsup_le_of_brange_subset Ordinal.bsup_le_of_brange_subset
theorem bsup_eq_of_brange_eq {o o'} {f : ∀ a < o, Ordinal} {g : ∀ a < o', Ordinal}
(h : brange o f = brange o' g) : bsup.{u, max v w} o f = bsup.{v, max u w} o' g :=
(bsup_le_of_brange_subset.{u, v, w} h.le).antisymm (bsup_le_of_brange_subset.{v, u, w} h.ge)
#align ordinal.bsup_eq_of_brange_eq Ordinal.bsup_eq_of_brange_eq
def lsub {ι} (f : ι → Ordinal) : Ordinal :=
sup (succ ∘ f)
#align ordinal.lsub Ordinal.lsub
@[simp]
theorem sup_eq_lsub {ι : Type u} (f : ι → Ordinal.{max u v}) :
sup.{_, v} (succ ∘ f) = lsub.{_, v} f :=
rfl
#align ordinal.sup_eq_lsub Ordinal.sup_eq_lsub
theorem lsub_le_iff {ι : Type u} {f : ι → Ordinal.{max u v}} {a} :
lsub.{_, v} f ≤ a ↔ ∀ i, f i < a := by
convert sup_le_iff.{_, v} (f := succ ∘ f) (a := a) using 2
-- Porting note: `comp_apply` is required.
simp only [comp_apply, succ_le_iff]
#align ordinal.lsub_le_iff Ordinal.lsub_le_iff
theorem lsub_le {ι} {f : ι → Ordinal} {a} : (∀ i, f i < a) → lsub f ≤ a :=
lsub_le_iff.2
#align ordinal.lsub_le Ordinal.lsub_le
theorem lt_lsub {ι} (f : ι → Ordinal) (i) : f i < lsub f :=
succ_le_iff.1 (le_sup _ i)
#align ordinal.lt_lsub Ordinal.lt_lsub
theorem lt_lsub_iff {ι : Type u} {f : ι → Ordinal.{max u v}} {a} :
a < lsub.{_, v} f ↔ ∃ i, a ≤ f i := by
simpa only [not_forall, not_lt, not_le] using not_congr (@lsub_le_iff.{_, v} _ f a)
#align ordinal.lt_lsub_iff Ordinal.lt_lsub_iff
theorem sup_le_lsub {ι : Type u} (f : ι → Ordinal.{max u v}) : sup.{_, v} f ≤ lsub.{_, v} f :=
sup_le fun i => (lt_lsub f i).le
#align ordinal.sup_le_lsub Ordinal.sup_le_lsub
theorem lsub_le_sup_succ {ι : Type u} (f : ι → Ordinal.{max u v}) :
lsub.{_, v} f ≤ succ (sup.{_, v} f) :=
lsub_le fun i => lt_succ_iff.2 (le_sup f i)
#align ordinal.lsub_le_sup_succ Ordinal.lsub_le_sup_succ
theorem sup_eq_lsub_or_sup_succ_eq_lsub {ι : Type u} (f : ι → Ordinal.{max u v}) :
sup.{_, v} f = lsub.{_, v} f ∨ succ (sup.{_, v} f) = lsub.{_, v} f := by
cases' eq_or_lt_of_le (sup_le_lsub.{_, v} f) with h h
· exact Or.inl h
· exact Or.inr ((succ_le_of_lt h).antisymm (lsub_le_sup_succ f))
#align ordinal.sup_eq_lsub_or_sup_succ_eq_lsub Ordinal.sup_eq_lsub_or_sup_succ_eq_lsub
theorem sup_succ_le_lsub {ι : Type u} (f : ι → Ordinal.{max u v}) :
succ (sup.{_, v} f) ≤ lsub.{_, v} f ↔ ∃ i, f i = sup.{_, v} f := by
refine ⟨fun h => ?_, ?_⟩
· by_contra! hf
exact (succ_le_iff.1 h).ne ((sup_le_lsub f).antisymm (lsub_le (ne_sup_iff_lt_sup.1 hf)))
rintro ⟨_, hf⟩
rw [succ_le_iff, ← hf]
exact lt_lsub _ _
#align ordinal.sup_succ_le_lsub Ordinal.sup_succ_le_lsub
theorem sup_succ_eq_lsub {ι : Type u} (f : ι → Ordinal.{max u v}) :
succ (sup.{_, v} f) = lsub.{_, v} f ↔ ∃ i, f i = sup.{_, v} f :=
(lsub_le_sup_succ f).le_iff_eq.symm.trans (sup_succ_le_lsub f)
#align ordinal.sup_succ_eq_lsub Ordinal.sup_succ_eq_lsub
theorem sup_eq_lsub_iff_succ {ι : Type u} (f : ι → Ordinal.{max u v}) :
sup.{_, v} f = lsub.{_, v} f ↔ ∀ a < lsub.{_, v} f, succ a < lsub.{_, v} f := by
refine ⟨fun h => ?_, fun hf => le_antisymm (sup_le_lsub f) (lsub_le fun i => ?_)⟩
· rw [← h]
exact fun a => sup_not_succ_of_ne_sup fun i => (lsub_le_iff.1 (le_of_eq h.symm) i).ne
by_contra! hle
have heq := (sup_succ_eq_lsub f).2 ⟨i, le_antisymm (le_sup _ _) hle⟩
have :=
hf _
(by
rw [← heq]
exact lt_succ (sup f))
rw [heq] at this
exact this.false
#align ordinal.sup_eq_lsub_iff_succ Ordinal.sup_eq_lsub_iff_succ
theorem sup_eq_lsub_iff_lt_sup {ι : Type u} (f : ι → Ordinal.{max u v}) :
sup.{_, v} f = lsub.{_, v} f ↔ ∀ i, f i < sup.{_, v} f :=
⟨fun h i => by
rw [h]
apply lt_lsub, fun h => le_antisymm (sup_le_lsub f) (lsub_le h)⟩
#align ordinal.sup_eq_lsub_iff_lt_sup Ordinal.sup_eq_lsub_iff_lt_sup
@[simp]
theorem lsub_empty {ι} [h : IsEmpty ι] (f : ι → Ordinal) : lsub f = 0 := by
rw [← Ordinal.le_zero, lsub_le_iff]
exact h.elim
#align ordinal.lsub_empty Ordinal.lsub_empty
theorem lsub_pos {ι : Type u} [h : Nonempty ι] (f : ι → Ordinal.{max u v}) : 0 < lsub.{_, v} f :=
h.elim fun i => (Ordinal.zero_le _).trans_lt (lt_lsub f i)
#align ordinal.lsub_pos Ordinal.lsub_pos
@[simp]
| Mathlib/SetTheory/Ordinal/Arithmetic.lean | 1,669 | 1,674 | theorem lsub_eq_zero_iff {ι : Type u} (f : ι → Ordinal.{max u v}) :
lsub.{_, v} f = 0 ↔ IsEmpty ι := by |
refine ⟨fun h => ⟨fun i => ?_⟩, fun h => @lsub_empty _ h _⟩
have := @lsub_pos.{_, v} _ ⟨i⟩ f
rw [h] at this
exact this.false
|
import Mathlib.Analysis.Analytic.Composition
#align_import analysis.analytic.inverse from "leanprover-community/mathlib"@"284fdd2962e67d2932fa3a79ce19fcf92d38e228"
open scoped Classical Topology
open Finset Filter
namespace FormalMultilinearSeries
variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*} [NormedAddCommGroup E]
[NormedSpace 𝕜 E] {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F]
noncomputable def leftInv (p : FormalMultilinearSeries 𝕜 E F) (i : E ≃L[𝕜] F) :
FormalMultilinearSeries 𝕜 F E
| 0 => 0
| 1 => (continuousMultilinearCurryFin1 𝕜 F E).symm i.symm
| n + 2 =>
-∑ c : { c : Composition (n + 2) // c.length < n + 2 },
(leftInv p i (c : Composition (n + 2)).length).compAlongComposition
(p.compContinuousLinearMap i.symm) c
#align formal_multilinear_series.left_inv FormalMultilinearSeries.leftInv
@[simp]
theorem leftInv_coeff_zero (p : FormalMultilinearSeries 𝕜 E F) (i : E ≃L[𝕜] F) :
p.leftInv i 0 = 0 := by rw [leftInv]
#align formal_multilinear_series.left_inv_coeff_zero FormalMultilinearSeries.leftInv_coeff_zero
@[simp]
theorem leftInv_coeff_one (p : FormalMultilinearSeries 𝕜 E F) (i : E ≃L[𝕜] F) :
p.leftInv i 1 = (continuousMultilinearCurryFin1 𝕜 F E).symm i.symm := by rw [leftInv]
#align formal_multilinear_series.left_inv_coeff_one FormalMultilinearSeries.leftInv_coeff_one
theorem leftInv_removeZero (p : FormalMultilinearSeries 𝕜 E F) (i : E ≃L[𝕜] F) :
p.removeZero.leftInv i = p.leftInv i := by
ext1 n
induction' n using Nat.strongRec' with n IH
match n with
| 0 => simp -- if one replaces `simp` with `refl`, the proof times out in the kernel.
| 1 => simp -- TODO: why?
| n + 2 =>
simp only [leftInv, neg_inj]
refine Finset.sum_congr rfl fun c cuniv => ?_
rcases c with ⟨c, hc⟩
ext v
dsimp
simp [IH _ hc]
#align formal_multilinear_series.left_inv_remove_zero FormalMultilinearSeries.leftInv_removeZero
theorem leftInv_comp (p : FormalMultilinearSeries 𝕜 E F) (i : E ≃L[𝕜] F)
(h : p 1 = (continuousMultilinearCurryFin1 𝕜 E F).symm i) : (leftInv p i).comp p = id 𝕜 E := by
ext (n v)
match n with
| 0 =>
simp only [leftInv_coeff_zero, ContinuousMultilinearMap.zero_apply, id_apply_ne_one, Ne,
not_false_iff, zero_ne_one, comp_coeff_zero']
| 1 =>
simp only [leftInv_coeff_one, comp_coeff_one, h, id_apply_one, ContinuousLinearEquiv.coe_apply,
ContinuousLinearEquiv.symm_apply_apply, continuousMultilinearCurryFin1_symm_apply]
| n + 2 =>
have A :
(Finset.univ : Finset (Composition (n + 2))) =
{c | Composition.length c < n + 2}.toFinset ∪ {Composition.ones (n + 2)} := by
refine Subset.antisymm (fun c _ => ?_) (subset_univ _)
by_cases h : c.length < n + 2
· simp [h, Set.mem_toFinset (s := {c | Composition.length c < n + 2})]
· simp [Composition.eq_ones_iff_le_length.2 (not_lt.1 h)]
have B :
Disjoint ({c | Composition.length c < n + 2} : Set (Composition (n + 2))).toFinset
{Composition.ones (n + 2)} := by
simp [Set.mem_toFinset (s := {c | Composition.length c < n + 2})]
have C :
((p.leftInv i (Composition.ones (n + 2)).length)
fun j : Fin (Composition.ones n.succ.succ).length =>
p 1 fun _ => v ((Fin.castLE (Composition.length_le _)) j)) =
p.leftInv i (n + 2) fun j : Fin (n + 2) => p 1 fun _ => v j := by
apply FormalMultilinearSeries.congr _ (Composition.ones_length _) fun j hj1 hj2 => ?_
exact FormalMultilinearSeries.congr _ rfl fun k _ _ => by congr
have D :
(p.leftInv i (n + 2) fun j : Fin (n + 2) => p 1 fun _ => v j) =
-∑ c ∈ {c : Composition (n + 2) | c.length < n + 2}.toFinset,
(p.leftInv i c.length) (p.applyComposition c v) := by
simp only [leftInv, ContinuousMultilinearMap.neg_apply, neg_inj,
ContinuousMultilinearMap.sum_apply]
convert
(sum_toFinset_eq_subtype
(fun c : Composition (n + 2) => c.length < n + 2)
(fun c : Composition (n + 2) =>
(ContinuousMultilinearMap.compAlongComposition
(p.compContinuousLinearMap (i.symm : F →L[𝕜] E)) c (p.leftInv i c.length))
fun j : Fin (n + 2) => p 1 fun _ : Fin 1 => v j)).symm.trans
_
simp only [compContinuousLinearMap_applyComposition,
ContinuousMultilinearMap.compAlongComposition_apply]
congr
ext c
congr
ext k
simp [h, Function.comp]
simp [FormalMultilinearSeries.comp, show n + 2 ≠ 1 by omega, A, Finset.sum_union B,
applyComposition_ones, C, D, -Set.toFinset_setOf]
#align formal_multilinear_series.left_inv_comp FormalMultilinearSeries.leftInv_comp
noncomputable def rightInv (p : FormalMultilinearSeries 𝕜 E F) (i : E ≃L[𝕜] F) :
FormalMultilinearSeries 𝕜 F E
| 0 => 0
| 1 => (continuousMultilinearCurryFin1 𝕜 F E).symm i.symm
| n + 2 =>
let q : FormalMultilinearSeries 𝕜 F E := fun k => if k < n + 2 then rightInv p i k else 0;
-(i.symm : F →L[𝕜] E).compContinuousMultilinearMap ((p.comp q) (n + 2))
#align formal_multilinear_series.right_inv FormalMultilinearSeries.rightInv
@[simp]
theorem rightInv_coeff_zero (p : FormalMultilinearSeries 𝕜 E F) (i : E ≃L[𝕜] F) :
p.rightInv i 0 = 0 := by rw [rightInv]
#align formal_multilinear_series.right_inv_coeff_zero FormalMultilinearSeries.rightInv_coeff_zero
@[simp]
theorem rightInv_coeff_one (p : FormalMultilinearSeries 𝕜 E F) (i : E ≃L[𝕜] F) :
p.rightInv i 1 = (continuousMultilinearCurryFin1 𝕜 F E).symm i.symm := by rw [rightInv]
#align formal_multilinear_series.right_inv_coeff_one FormalMultilinearSeries.rightInv_coeff_one
theorem rightInv_removeZero (p : FormalMultilinearSeries 𝕜 E F) (i : E ≃L[𝕜] F) :
p.removeZero.rightInv i = p.rightInv i := by
ext1 n
induction' n using Nat.strongRec' with n IH
match n with
| 0 => simp only [rightInv_coeff_zero]
| 1 => simp only [rightInv_coeff_one]
| n + 2 =>
simp only [rightInv, neg_inj]
rw [removeZero_comp_of_pos _ _ (add_pos_of_nonneg_of_pos n.zero_le zero_lt_two)]
congr (config := { closePost := false }) 2 with k
by_cases hk : k < n + 2 <;> simp [hk, IH]
#align formal_multilinear_series.right_inv_remove_zero FormalMultilinearSeries.rightInv_removeZero
theorem comp_rightInv_aux1 {n : ℕ} (hn : 0 < n) (p : FormalMultilinearSeries 𝕜 E F)
(q : FormalMultilinearSeries 𝕜 F E) (v : Fin n → F) :
p.comp q n v =
∑ c ∈ {c : Composition n | 1 < c.length}.toFinset,
p c.length (q.applyComposition c v) +
p 1 fun _ => q n v := by
have A :
(Finset.univ : Finset (Composition n)) =
{c | 1 < Composition.length c}.toFinset ∪ {Composition.single n hn} := by
refine Subset.antisymm (fun c _ => ?_) (subset_univ _)
by_cases h : 1 < c.length
· simp [h, Set.mem_toFinset (s := {c | 1 < Composition.length c})]
· have : c.length = 1 := by
refine (eq_iff_le_not_lt.2 ⟨?_, h⟩).symm; exact c.length_pos_of_pos hn
rw [← Composition.eq_single_iff_length hn] at this
simp [this]
have B :
Disjoint ({c | 1 < Composition.length c} : Set (Composition n)).toFinset
{Composition.single n hn} := by
simp [Set.mem_toFinset (s := {c | 1 < Composition.length c})]
have C :
p (Composition.single n hn).length (q.applyComposition (Composition.single n hn) v) =
p 1 fun _ : Fin 1 => q n v := by
apply p.congr (Composition.single_length hn) fun j hj1 _ => ?_
simp [applyComposition_single]
simp [FormalMultilinearSeries.comp, A, Finset.sum_union B, C, -Set.toFinset_setOf,
-add_right_inj, -Composition.single_length]
#align formal_multilinear_series.comp_right_inv_aux1 FormalMultilinearSeries.comp_rightInv_aux1
theorem comp_rightInv_aux2 (p : FormalMultilinearSeries 𝕜 E F) (i : E ≃L[𝕜] F) (n : ℕ)
(v : Fin (n + 2) → F) :
∑ c ∈ {c : Composition (n + 2) | 1 < c.length}.toFinset,
p c.length (applyComposition (fun k : ℕ => ite (k < n + 2) (p.rightInv i k) 0) c v) =
∑ c ∈ {c : Composition (n + 2) | 1 < c.length}.toFinset,
p c.length ((p.rightInv i).applyComposition c v) := by
have N : 0 < n + 2 := by norm_num
refine sum_congr rfl fun c hc => p.congr rfl fun j hj1 hj2 => ?_
have : ∀ k, c.blocksFun k < n + 2 := by
simp only [Set.mem_toFinset (s := {c : Composition (n + 2) | 1 < c.length}),
Set.mem_setOf_eq] at hc
simp [← Composition.ne_single_iff N, Composition.eq_single_iff_length, ne_of_gt hc]
simp [applyComposition, this]
#align formal_multilinear_series.comp_right_inv_aux2 FormalMultilinearSeries.comp_rightInv_aux2
theorem comp_rightInv (p : FormalMultilinearSeries 𝕜 E F) (i : E ≃L[𝕜] F)
(h : p 1 = (continuousMultilinearCurryFin1 𝕜 E F).symm i) (h0 : p 0 = 0) :
p.comp (rightInv p i) = id 𝕜 F := by
ext (n v)
match n with
| 0 =>
simp only [h0, ContinuousMultilinearMap.zero_apply, id_apply_ne_one, Ne, not_false_iff,
zero_ne_one, comp_coeff_zero']
| 1 =>
simp only [comp_coeff_one, h, rightInv_coeff_one, ContinuousLinearEquiv.apply_symm_apply,
id_apply_one, ContinuousLinearEquiv.coe_apply, continuousMultilinearCurryFin1_symm_apply]
| n + 2 =>
have N : 0 < n + 2 := by norm_num
simp [comp_rightInv_aux1 N, h, rightInv, lt_irrefl n, show n + 2 ≠ 1 by omega,
← sub_eq_add_neg, sub_eq_zero, comp_rightInv_aux2, -Set.toFinset_setOf]
#align formal_multilinear_series.comp_right_inv FormalMultilinearSeries.comp_rightInv
theorem rightInv_coeff (p : FormalMultilinearSeries 𝕜 E F) (i : E ≃L[𝕜] F) (n : ℕ) (hn : 2 ≤ n) :
p.rightInv i n =
-(i.symm : F →L[𝕜] E).compContinuousMultilinearMap
(∑ c ∈ ({c | 1 < Composition.length c}.toFinset : Finset (Composition n)),
p.compAlongComposition (p.rightInv i) c) := by
match n with
| 0 => exact False.elim (zero_lt_two.not_le hn)
| 1 => exact False.elim (one_lt_two.not_le hn)
| n + 2 =>
simp only [rightInv, neg_inj]
congr (config := { closePost := false }) 1
ext v
have N : 0 < n + 2 := by norm_num
have : ((p 1) fun i : Fin 1 => 0) = 0 := ContinuousMultilinearMap.map_zero _
simp [comp_rightInv_aux1 N, lt_irrefl n, this, comp_rightInv_aux2, -Set.toFinset_setOf]
#align formal_multilinear_series.right_inv_coeff FormalMultilinearSeries.rightInv_coeff
private theorem leftInv_eq_rightInv_aux (p : FormalMultilinearSeries 𝕜 E F) (i : E ≃L[𝕜] F)
(h : p 1 = (continuousMultilinearCurryFin1 𝕜 E F).symm i) (h0 : p 0 = 0) :
leftInv p i = rightInv p i :=
calc
leftInv p i = (leftInv p i).comp (id 𝕜 F) := by simp
_ = (leftInv p i).comp (p.comp (rightInv p i)) := by rw [comp_rightInv p i h h0]
_ = ((leftInv p i).comp p).comp (rightInv p i) := by rw [comp_assoc]
_ = (id 𝕜 E).comp (rightInv p i) := by rw [leftInv_comp p i h]
_ = rightInv p i := by simp
theorem leftInv_eq_rightInv (p : FormalMultilinearSeries 𝕜 E F) (i : E ≃L[𝕜] F)
(h : p 1 = (continuousMultilinearCurryFin1 𝕜 E F).symm i) : leftInv p i = rightInv p i :=
calc
leftInv p i = leftInv p.removeZero i := by rw [leftInv_removeZero]
_ = rightInv p.removeZero i := by apply leftInv_eq_rightInv_aux <;> simp; exact h
_ = rightInv p i := by rw [rightInv_removeZero]
#align formal_multilinear_series.left_inv_eq_right_inv FormalMultilinearSeries.leftInv_eq_rightInv
theorem radius_right_inv_pos_of_radius_pos_aux1 (n : ℕ) (p : ℕ → ℝ) (hp : ∀ k, 0 ≤ p k) {r a : ℝ}
(hr : 0 ≤ r) (ha : 0 ≤ a) :
∑ k ∈ Ico 2 (n + 1),
a ^ k *
∑ c ∈ ({c | 1 < Composition.length c}.toFinset : Finset (Composition k)),
r ^ c.length * ∏ j, p (c.blocksFun j) ≤
∑ j ∈ Ico 2 (n + 1), r ^ j * (∑ k ∈ Ico 1 n, a ^ k * p k) ^ j :=
calc
∑ k ∈ Ico 2 (n + 1),
a ^ k *
∑ c ∈ ({c | 1 < Composition.length c}.toFinset : Finset (Composition k)),
r ^ c.length * ∏ j, p (c.blocksFun j) =
∑ k ∈ Ico 2 (n + 1),
∑ c ∈ ({c | 1 < Composition.length c}.toFinset : Finset (Composition k)),
∏ j, r * (a ^ c.blocksFun j * p (c.blocksFun j)) := by
simp_rw [mul_sum]
congr! with k _ c
rw [prod_mul_distrib, prod_mul_distrib, prod_pow_eq_pow_sum, Composition.sum_blocksFun,
prod_const, card_fin]
ring
_ ≤
∑ d ∈ compPartialSumTarget 2 (n + 1) n,
∏ j : Fin d.2.length, r * (a ^ d.2.blocksFun j * p (d.2.blocksFun j)) := by
rw [sum_sigma']
refine
sum_le_sum_of_subset_of_nonneg ?_ fun x _ _ =>
prod_nonneg fun j _ => mul_nonneg hr (mul_nonneg (pow_nonneg ha _) (hp _))
rintro ⟨k, c⟩ hd
simp only [Set.mem_toFinset (s := {c | 1 < Composition.length c}), mem_Ico, mem_sigma,
Set.mem_setOf_eq] at hd
simp only [mem_compPartialSumTarget_iff]
refine ⟨hd.2, c.length_le.trans_lt hd.1.2, fun j => ?_⟩
have : c ≠ Composition.single k (zero_lt_two.trans_le hd.1.1) := by
simp [Composition.eq_single_iff_length, ne_of_gt hd.2]
rw [Composition.ne_single_iff] at this
exact (this j).trans_le (Nat.lt_succ_iff.mp hd.1.2)
_ = ∑ e ∈ compPartialSumSource 2 (n + 1) n, ∏ j : Fin e.1, r * (a ^ e.2 j * p (e.2 j)) := by
symm
apply compChangeOfVariables_sum
rintro ⟨k, blocks_fun⟩ H
have K : (compChangeOfVariables 2 (n + 1) n ⟨k, blocks_fun⟩ H).snd.length = k := by simp
congr 2 <;> try rw [K]
rw [Fin.heq_fun_iff K.symm]
intro j
rw [compChangeOfVariables_blocksFun]
_ = ∑ j ∈ Ico 2 (n + 1), r ^ j * (∑ k ∈ Ico 1 n, a ^ k * p k) ^ j := by
rw [compPartialSumSource,
← sum_sigma' (Ico 2 (n + 1))
(fun k : ℕ => (Fintype.piFinset fun _ : Fin k => Ico 1 n : Finset (Fin k → ℕ)))
(fun n e => ∏ j : Fin n, r * (a ^ e j * p (e j)))]
congr! with j
simp only [← @MultilinearMap.mkPiAlgebra_apply ℝ (Fin j) _ ℝ]
simp only [←
MultilinearMap.map_sum_finset (MultilinearMap.mkPiAlgebra ℝ (Fin j) ℝ) fun _ (m : ℕ) =>
r * (a ^ m * p m)]
simp only [MultilinearMap.mkPiAlgebra_apply]
simp [prod_const, ← mul_sum, mul_pow]
#align formal_multilinear_series.radius_right_inv_pos_of_radius_pos_aux1 FormalMultilinearSeries.radius_right_inv_pos_of_radius_pos_aux1
| Mathlib/Analysis/Analytic/Inverse.lean | 442 | 496 | theorem radius_rightInv_pos_of_radius_pos_aux2 {n : ℕ} (hn : 2 ≤ n + 1)
(p : FormalMultilinearSeries 𝕜 E F) (i : E ≃L[𝕜] F) {r a C : ℝ} (hr : 0 ≤ r) (ha : 0 ≤ a)
(hC : 0 ≤ C) (hp : ∀ n, ‖p n‖ ≤ C * r ^ n) :
∑ k ∈ Ico 1 (n + 1), a ^ k * ‖p.rightInv i k‖ ≤
‖(i.symm : F →L[𝕜] E)‖ * a +
‖(i.symm : F →L[𝕜] E)‖ * C *
∑ k ∈ Ico 2 (n + 1), (r * ∑ j ∈ Ico 1 n, a ^ j * ‖p.rightInv i j‖) ^ k :=
let I := ‖(i.symm : F →L[𝕜] E)‖
calc
∑ k ∈ Ico 1 (n + 1), a ^ k * ‖p.rightInv i k‖ =
a * I + ∑ k ∈ Ico 2 (n + 1), a ^ k * ‖p.rightInv i k‖ := by |
simp only [LinearIsometryEquiv.norm_map, pow_one, rightInv_coeff_one,
show Ico (1 : ℕ) 2 = {1} from Nat.Ico_succ_singleton 1,
sum_singleton, ← sum_Ico_consecutive _ one_le_two hn]
_ =
a * I +
∑ k ∈ Ico 2 (n + 1),
a ^ k *
‖(i.symm : F →L[𝕜] E).compContinuousMultilinearMap
(∑ c ∈ ({c | 1 < Composition.length c}.toFinset : Finset (Composition k)),
p.compAlongComposition (p.rightInv i) c)‖ := by
congr! 2 with j hj
rw [rightInv_coeff _ _ _ (mem_Ico.1 hj).1, norm_neg]
_ ≤
a * ‖(i.symm : F →L[𝕜] E)‖ +
∑ k ∈ Ico 2 (n + 1),
a ^ k *
(I *
∑ c ∈ ({c | 1 < Composition.length c}.toFinset : Finset (Composition k)),
C * r ^ c.length * ∏ j, ‖p.rightInv i (c.blocksFun j)‖) := by
gcongr with j
apply (ContinuousLinearMap.norm_compContinuousMultilinearMap_le _ _).trans
gcongr
apply (norm_sum_le _ _).trans
gcongr
apply (compAlongComposition_norm _ _ _).trans
gcongr
apply hp
_ =
I * a +
I * C *
∑ k ∈ Ico 2 (n + 1),
a ^ k *
∑ c ∈ ({c | 1 < Composition.length c}.toFinset : Finset (Composition k)),
r ^ c.length * ∏ j, ‖p.rightInv i (c.blocksFun j)‖ := by
simp_rw [mul_assoc C, ← mul_sum, ← mul_assoc, mul_comm _ ‖(i.symm : F →L[𝕜] E)‖, mul_assoc,
← mul_sum, ← mul_assoc, mul_comm _ C, mul_assoc, ← mul_sum]
ring
_ ≤ I * a + I * C *
∑ k ∈ Ico 2 (n + 1), (r * ∑ j ∈ Ico 1 n, a ^ j * ‖p.rightInv i j‖) ^ k := by
gcongr _ + _ * _ * ?_
simp_rw [mul_pow]
apply
radius_right_inv_pos_of_radius_pos_aux1 n (fun k => ‖p.rightInv i k‖)
(fun k => norm_nonneg _) hr ha
|
import Mathlib.Data.Int.AbsoluteValue
import Mathlib.LinearAlgebra.Matrix.Determinant.Basic
#align_import linear_algebra.matrix.absolute_value from "leanprover-community/mathlib"@"ab0a2959c83b06280ef576bc830d4aa5fe8c8e61"
open Matrix
namespace Matrix
open Equiv Finset
variable {R S : Type*} [CommRing R] [Nontrivial R] [LinearOrderedCommRing S]
variable {n : Type*} [Fintype n] [DecidableEq n]
theorem det_le {A : Matrix n n R} {abv : AbsoluteValue R S} {x : S} (hx : ∀ i j, abv (A i j) ≤ x) :
abv A.det ≤ Nat.factorial (Fintype.card n) • x ^ Fintype.card n :=
calc
abv A.det = abv (∑ σ : Perm n, Perm.sign σ • ∏ i, A (σ i) i) := congr_arg abv (det_apply _)
_ ≤ ∑ σ : Perm n, abv (Perm.sign σ • ∏ i, A (σ i) i) := abv.sum_le _ _
_ = ∑ σ : Perm n, ∏ i, abv (A (σ i) i) :=
(sum_congr rfl fun σ _ => by rw [abv.map_units_int_smul, abv.map_prod])
_ ≤ ∑ _σ : Perm n, ∏ _i : n, x :=
(sum_le_sum fun _ _ => prod_le_prod (fun _ _ => abv.nonneg _) fun _ _ => hx _ _)
_ = ∑ _σ : Perm n, x ^ Fintype.card n :=
(sum_congr rfl fun _ _ => by rw [prod_const, Finset.card_univ])
_ = Nat.factorial (Fintype.card n) • x ^ Fintype.card n := by
rw [sum_const, Finset.card_univ, Fintype.card_perm]
#align matrix.det_le Matrix.det_le
| Mathlib/LinearAlgebra/Matrix/AbsoluteValue.lean | 52 | 61 | theorem det_sum_le {ι : Type*} (s : Finset ι) {A : ι → Matrix n n R} {abv : AbsoluteValue R S}
{x : S} (hx : ∀ k i j, abv (A k i j) ≤ x) :
abv (det (∑ k ∈ s, A k)) ≤
Nat.factorial (Fintype.card n) • (Finset.card s • x) ^ Fintype.card n :=
det_le fun i j =>
calc
abv ((∑ k ∈ s, A k) i j) = abv (∑ k ∈ s, A k i j) := by | simp only [sum_apply]
_ ≤ ∑ k ∈ s, abv (A k i j) := abv.sum_le _ _
_ ≤ ∑ _k ∈ s, x := sum_le_sum fun k _ => hx k i j
_ = s.card • x := sum_const _
|
import Mathlib.Data.Int.Interval
import Mathlib.RingTheory.Binomial
import Mathlib.RingTheory.HahnSeries.PowerSeries
import Mathlib.RingTheory.HahnSeries.Summable
import Mathlib.FieldTheory.RatFunc.AsPolynomial
import Mathlib.RingTheory.Localization.FractionRing
#align_import ring_theory.laurent_series from "leanprover-community/mathlib"@"831c494092374cfe9f50591ed0ac81a25efc5b86"
universe u
open scoped Classical
open HahnSeries Polynomial
noncomputable section
abbrev LaurentSeries (R : Type u) [Zero R] :=
HahnSeries ℤ R
#align laurent_series LaurentSeries
variable {R : Type*}
namespace LaurentSeries
section Semiring
variable [Semiring R]
instance : Coe (PowerSeries R) (LaurentSeries R) :=
⟨HahnSeries.ofPowerSeries ℤ R⟩
#noalign laurent_series.coe_power_series
@[simp]
theorem coeff_coe_powerSeries (x : PowerSeries R) (n : ℕ) :
HahnSeries.coeff (x : LaurentSeries R) n = PowerSeries.coeff R n x := by
rw [ofPowerSeries_apply_coeff]
#align laurent_series.coeff_coe_power_series LaurentSeries.coeff_coe_powerSeries
def powerSeriesPart (x : LaurentSeries R) : PowerSeries R :=
PowerSeries.mk fun n => x.coeff (x.order + n)
#align laurent_series.power_series_part LaurentSeries.powerSeriesPart
@[simp]
theorem powerSeriesPart_coeff (x : LaurentSeries R) (n : ℕ) :
PowerSeries.coeff R n x.powerSeriesPart = x.coeff (x.order + n) :=
PowerSeries.coeff_mk _ _
#align laurent_series.power_series_part_coeff LaurentSeries.powerSeriesPart_coeff
@[simp]
theorem powerSeriesPart_zero : powerSeriesPart (0 : LaurentSeries R) = 0 := by
ext
simp [(PowerSeries.coeff _ _).map_zero] -- Note: this doesn't get picked up any more
#align laurent_series.power_series_part_zero LaurentSeries.powerSeriesPart_zero
@[simp]
theorem powerSeriesPart_eq_zero (x : LaurentSeries R) : x.powerSeriesPart = 0 ↔ x = 0 := by
constructor
· contrapose!
simp only [ne_eq]
intro h
rw [PowerSeries.ext_iff, not_forall]
refine ⟨0, ?_⟩
simp [coeff_order_ne_zero h]
· rintro rfl
simp
#align laurent_series.power_series_part_eq_zero LaurentSeries.powerSeriesPart_eq_zero
@[simp]
theorem single_order_mul_powerSeriesPart (x : LaurentSeries R) :
(single x.order 1 : LaurentSeries R) * x.powerSeriesPart = x := by
ext n
rw [← sub_add_cancel n x.order, single_mul_coeff_add, sub_add_cancel, one_mul]
by_cases h : x.order ≤ n
· rw [Int.eq_natAbs_of_zero_le (sub_nonneg_of_le h), coeff_coe_powerSeries,
powerSeriesPart_coeff, ← Int.eq_natAbs_of_zero_le (sub_nonneg_of_le h),
add_sub_cancel]
· rw [ofPowerSeries_apply, embDomain_notin_range]
· contrapose! h
exact order_le_of_coeff_ne_zero h.symm
· contrapose! h
simp only [Set.mem_range, RelEmbedding.coe_mk, Function.Embedding.coeFn_mk] at h
obtain ⟨m, hm⟩ := h
rw [← sub_nonneg, ← hm]
simp only [Nat.cast_nonneg]
#align laurent_series.single_order_mul_power_series_part LaurentSeries.single_order_mul_powerSeriesPart
| Mathlib/RingTheory/LaurentSeries.lean | 143 | 146 | theorem ofPowerSeries_powerSeriesPart (x : LaurentSeries R) :
ofPowerSeries ℤ R x.powerSeriesPart = single (-x.order) 1 * x := by |
refine Eq.trans ?_ (congr rfl x.single_order_mul_powerSeriesPart)
rw [← mul_assoc, single_mul_single, neg_add_self, mul_one, ← C_apply, C_one, one_mul]
|
import Mathlib.Algebra.Order.Group.TypeTags
import Mathlib.FieldTheory.RatFunc.Degree
import Mathlib.RingTheory.DedekindDomain.IntegralClosure
import Mathlib.RingTheory.IntegrallyClosed
import Mathlib.Topology.Algebra.ValuedField
#align_import number_theory.function_field from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a"
noncomputable section
open scoped nonZeroDivisors Polynomial DiscreteValuation
variable (Fq F : Type) [Field Fq] [Field F]
abbrev FunctionField [Algebra (RatFunc Fq) F] : Prop :=
FiniteDimensional (RatFunc Fq) F
#align function_field FunctionField
-- Porting note: Removed `protected`
theorem functionField_iff (Fqt : Type*) [Field Fqt] [Algebra Fq[X] Fqt]
[IsFractionRing Fq[X] Fqt] [Algebra (RatFunc Fq) F] [Algebra Fqt F] [Algebra Fq[X] F]
[IsScalarTower Fq[X] Fqt F] [IsScalarTower Fq[X] (RatFunc Fq) F] :
FunctionField Fq F ↔ FiniteDimensional Fqt F := by
let e := IsLocalization.algEquiv Fq[X]⁰ (RatFunc Fq) Fqt
have : ∀ (c) (x : F), e c • x = c • x := by
intro c x
rw [Algebra.smul_def, Algebra.smul_def]
congr
refine congr_fun (f := fun c => algebraMap Fqt F (e c)) ?_ c -- Porting note: Added `(f := _)`
refine IsLocalization.ext (nonZeroDivisors Fq[X]) _ _ ?_ ?_ ?_ ?_ ?_ <;> intros <;>
simp only [AlgEquiv.map_one, RingHom.map_one, AlgEquiv.map_mul, RingHom.map_mul,
AlgEquiv.commutes, ← IsScalarTower.algebraMap_apply]
constructor <;> intro h
· let b := FiniteDimensional.finBasis (RatFunc Fq) F
exact FiniteDimensional.of_fintype_basis (b.mapCoeffs e this)
· let b := FiniteDimensional.finBasis Fqt F
refine FiniteDimensional.of_fintype_basis (b.mapCoeffs e.symm ?_)
intro c x; convert (this (e.symm c) x).symm; simp only [e.apply_symm_apply]
#align function_field_iff functionField_iff
| Mathlib/NumberTheory/FunctionField.lean | 83 | 86 | theorem algebraMap_injective [Algebra Fq[X] F] [Algebra (RatFunc Fq) F]
[IsScalarTower Fq[X] (RatFunc Fq) F] : Function.Injective (⇑(algebraMap Fq[X] F)) := by |
rw [IsScalarTower.algebraMap_eq Fq[X] (RatFunc Fq) F]
exact (algebraMap (RatFunc Fq) F).injective.comp (IsFractionRing.injective Fq[X] (RatFunc Fq))
|
import Mathlib.CategoryTheory.Sites.CompatiblePlus
import Mathlib.CategoryTheory.Sites.ConcreteSheafification
#align_import category_theory.sites.compatible_sheafification from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a"
namespace CategoryTheory.GrothendieckTopology
open CategoryTheory
open CategoryTheory.Limits
open Opposite
universe w₁ w₂ v u
variable {C : Type u} [Category.{v} C] (J : GrothendieckTopology C)
variable {D : Type w₁} [Category.{max v u} D]
variable {E : Type w₂} [Category.{max v u} E]
variable (F : D ⥤ E)
-- Porting note: Removed this and made whatever necessary noncomputable
-- noncomputable section
variable [∀ (α β : Type max v u) (fst snd : β → α), HasLimitsOfShape (WalkingMulticospan fst snd) D]
variable [∀ (α β : Type max v u) (fst snd : β → α), HasLimitsOfShape (WalkingMulticospan fst snd) E]
variable [∀ X : C, HasColimitsOfShape (J.Cover X)ᵒᵖ D]
variable [∀ X : C, HasColimitsOfShape (J.Cover X)ᵒᵖ E]
variable [∀ X : C, PreservesColimitsOfShape (J.Cover X)ᵒᵖ F]
variable [∀ (X : C) (W : J.Cover X) (P : Cᵒᵖ ⥤ D), PreservesLimit (W.index P).multicospan F]
variable (P : Cᵒᵖ ⥤ D)
noncomputable def sheafifyCompIso : J.sheafify P ⋙ F ≅ J.sheafify (P ⋙ F) :=
J.plusCompIso _ _ ≪≫ (J.plusFunctor _).mapIso (J.plusCompIso _ _)
#align category_theory.grothendieck_topology.sheafify_comp_iso CategoryTheory.GrothendieckTopology.sheafifyCompIso
noncomputable def sheafificationWhiskerLeftIso (P : Cᵒᵖ ⥤ D)
[∀ (F : D ⥤ E) (X : C), PreservesColimitsOfShape (J.Cover X)ᵒᵖ F]
[∀ (F : D ⥤ E) (X : C) (W : J.Cover X) (P : Cᵒᵖ ⥤ D),
PreservesLimit (W.index P).multicospan F] :
(whiskeringLeft _ _ E).obj (J.sheafify P) ≅
(whiskeringLeft _ _ _).obj P ⋙ J.sheafification E := by
refine J.plusFunctorWhiskerLeftIso _ ≪≫ ?_ ≪≫ Functor.associator _ _ _
refine isoWhiskerRight ?_ _
exact J.plusFunctorWhiskerLeftIso _
#align category_theory.grothendieck_topology.sheafification_whisker_left_iso CategoryTheory.GrothendieckTopology.sheafificationWhiskerLeftIso
@[simp]
theorem sheafificationWhiskerLeftIso_hom_app (P : Cᵒᵖ ⥤ D) (F : D ⥤ E)
[∀ (F : D ⥤ E) (X : C), PreservesColimitsOfShape (J.Cover X)ᵒᵖ F]
[∀ (F : D ⥤ E) (X : C) (W : J.Cover X) (P : Cᵒᵖ ⥤ D),
PreservesLimit (W.index P).multicospan F] :
(sheafificationWhiskerLeftIso J P).hom.app F = (J.sheafifyCompIso F P).hom := by
dsimp [sheafificationWhiskerLeftIso, sheafifyCompIso]
rw [Category.comp_id]
#align category_theory.grothendieck_topology.sheafification_whisker_left_iso_hom_app CategoryTheory.GrothendieckTopology.sheafificationWhiskerLeftIso_hom_app
@[simp]
theorem sheafificationWhiskerLeftIso_inv_app (P : Cᵒᵖ ⥤ D) (F : D ⥤ E)
[∀ (F : D ⥤ E) (X : C), PreservesColimitsOfShape (J.Cover X)ᵒᵖ F]
[∀ (F : D ⥤ E) (X : C) (W : J.Cover X) (P : Cᵒᵖ ⥤ D),
PreservesLimit (W.index P).multicospan F] :
(sheafificationWhiskerLeftIso J P).inv.app F = (J.sheafifyCompIso F P).inv := by
dsimp [sheafificationWhiskerLeftIso, sheafifyCompIso]
erw [Category.id_comp]
#align category_theory.grothendieck_topology.sheafification_whisker_left_iso_inv_app CategoryTheory.GrothendieckTopology.sheafificationWhiskerLeftIso_inv_app
noncomputable def sheafificationWhiskerRightIso :
J.sheafification D ⋙ (whiskeringRight _ _ _).obj F ≅
(whiskeringRight _ _ _).obj F ⋙ J.sheafification E := by
refine Functor.associator _ _ _ ≪≫ ?_
refine isoWhiskerLeft (J.plusFunctor D) (J.plusFunctorWhiskerRightIso _) ≪≫ ?_
refine ?_ ≪≫ Functor.associator _ _ _
refine (Functor.associator _ _ _).symm ≪≫ ?_
exact isoWhiskerRight (J.plusFunctorWhiskerRightIso _) (J.plusFunctor E)
#align category_theory.grothendieck_topology.sheafification_whisker_right_iso CategoryTheory.GrothendieckTopology.sheafificationWhiskerRightIso
@[simp]
| Mathlib/CategoryTheory/Sites/CompatibleSheafification.lean | 102 | 106 | theorem sheafificationWhiskerRightIso_hom_app :
(J.sheafificationWhiskerRightIso F).hom.app P = (J.sheafifyCompIso F P).hom := by |
dsimp [sheafificationWhiskerRightIso, sheafifyCompIso]
simp only [Category.id_comp, Category.comp_id]
erw [Category.id_comp]
|
import Mathlib.Analysis.SpecialFunctions.Exp
import Mathlib.Topology.ContinuousFunction.Basic
import Mathlib.Analysis.Normed.Field.UnitBall
#align_import analysis.complex.circle from "leanprover-community/mathlib"@"ad3dfaca9ea2465198bcf58aa114401c324e29d1"
noncomputable section
open Complex Metric
open ComplexConjugate
def circle : Submonoid ℂ :=
Submonoid.unitSphere ℂ
#align circle circle
@[simp]
theorem mem_circle_iff_abs {z : ℂ} : z ∈ circle ↔ abs z = 1 :=
mem_sphere_zero_iff_norm
#align mem_circle_iff_abs mem_circle_iff_abs
theorem circle_def : ↑circle = { z : ℂ | abs z = 1 } :=
Set.ext fun _ => mem_circle_iff_abs
#align circle_def circle_def
@[simp]
theorem abs_coe_circle (z : circle) : abs z = 1 :=
mem_circle_iff_abs.mp z.2
#align abs_coe_circle abs_coe_circle
| Mathlib/Analysis/Complex/Circle.lean | 62 | 62 | theorem mem_circle_iff_normSq {z : ℂ} : z ∈ circle ↔ normSq z = 1 := by | simp [Complex.abs]
|
import Mathlib.RingTheory.Polynomial.Basic
import Mathlib.RingTheory.Ideal.LocalRing
#align_import data.polynomial.expand from "leanprover-community/mathlib"@"bbeb185db4ccee8ed07dc48449414ebfa39cb821"
universe u v w
open Polynomial
open Finset
namespace Polynomial
section CommSemiring
variable (R : Type u) [CommSemiring R] {S : Type v} [CommSemiring S] (p q : ℕ)
noncomputable def expand : R[X] →ₐ[R] R[X] :=
{ (eval₂RingHom C (X ^ p) : R[X] →+* R[X]) with commutes' := fun _ => eval₂_C _ _ }
#align polynomial.expand Polynomial.expand
theorem coe_expand : (expand R p : R[X] → R[X]) = eval₂ C (X ^ p) :=
rfl
#align polynomial.coe_expand Polynomial.coe_expand
variable {R}
theorem expand_eq_comp_X_pow {f : R[X]} : expand R p f = f.comp (X ^ p) := rfl
theorem expand_eq_sum {f : R[X]} : expand R p f = f.sum fun e a => C a * (X ^ p) ^ e := by
simp [expand, eval₂]
#align polynomial.expand_eq_sum Polynomial.expand_eq_sum
@[simp]
theorem expand_C (r : R) : expand R p (C r) = C r :=
eval₂_C _ _
set_option linter.uppercaseLean3 false in
#align polynomial.expand_C Polynomial.expand_C
@[simp]
theorem expand_X : expand R p X = X ^ p :=
eval₂_X _ _
set_option linter.uppercaseLean3 false in
#align polynomial.expand_X Polynomial.expand_X
@[simp]
theorem expand_monomial (r : R) : expand R p (monomial q r) = monomial (q * p) r := by
simp_rw [← smul_X_eq_monomial, AlgHom.map_smul, AlgHom.map_pow, expand_X, mul_comm, pow_mul]
#align polynomial.expand_monomial Polynomial.expand_monomial
theorem expand_expand (f : R[X]) : expand R p (expand R q f) = expand R (p * q) f :=
Polynomial.induction_on f (fun r => by simp_rw [expand_C])
(fun f g ihf ihg => by simp_rw [AlgHom.map_add, ihf, ihg]) fun n r _ => by
simp_rw [AlgHom.map_mul, expand_C, AlgHom.map_pow, expand_X, AlgHom.map_pow, expand_X, pow_mul]
#align polynomial.expand_expand Polynomial.expand_expand
theorem expand_mul (f : R[X]) : expand R (p * q) f = expand R p (expand R q f) :=
(expand_expand p q f).symm
#align polynomial.expand_mul Polynomial.expand_mul
@[simp]
| Mathlib/Algebra/Polynomial/Expand.lean | 80 | 80 | theorem expand_zero (f : R[X]) : expand R 0 f = C (eval 1 f) := by | simp [expand]
|
import Mathlib.Topology.CompactOpen
import Mathlib.Topology.LocallyFinite
import Mathlib.Topology.ProperMap
import Mathlib.Topology.UniformSpace.UniformConvergenceTopology
#align_import topology.uniform_space.compact_convergence from "leanprover-community/mathlib"@"dc6c365e751e34d100e80fe6e314c3c3e0fd2988"
universe u₁ u₂ u₃
open scoped Uniformity Topology UniformConvergence
open UniformSpace Set Filter
variable {α : Type u₁} {β : Type u₂} [TopologicalSpace α] [UniformSpace β]
variable (K : Set α) (V : Set (β × β)) (f : C(α, β))
namespace ContinuousMap
theorem tendsto_iff_forall_compact_tendstoUniformlyOn
{ι : Type u₃} {p : Filter ι} {F : ι → C(α, β)} {f} :
Tendsto F p (𝓝 f) ↔ ∀ K, IsCompact K → TendstoUniformlyOn (fun i a => F i a) f p K := by
rw [tendsto_nhds_compactOpen]
constructor
· -- Let us prove that convergence in the compact-open topology
-- implies uniform convergence on compacts.
-- Consider a compact set `K`
intro h K hK
-- Since `K` is compact, it suffices to prove locally uniform convergence
rw [← tendstoLocallyUniformlyOn_iff_tendstoUniformlyOn_of_compact hK]
-- Now choose an entourage `U` in the codomain and a point `x ∈ K`.
intro U hU x _
-- Choose an open symmetric entourage `V` such that `V ○ V ⊆ U`.
rcases comp_open_symm_mem_uniformity_sets hU with ⟨V, hV, hVo, hVsymm, hVU⟩
-- Then choose a closed entourage `W ⊆ V`
rcases mem_uniformity_isClosed hV with ⟨W, hW, hWc, hWU⟩
-- Consider `s = {y ∈ K | (f x, f y) ∈ W}`
set s := K ∩ f ⁻¹' ball (f x) W
-- This is a neighbourhood of `x` within `K`, because `W` is an entourage.
have hnhds : s ∈ 𝓝[K] x := inter_mem_nhdsWithin _ <| f.continuousAt _ (ball_mem_nhds _ hW)
-- This set is compact because it is an intersection of `K`
-- with a closed set `{y | (f x, f y) ∈ W} = f ⁻¹' UniformSpace.ball (f x) W`
have hcomp : IsCompact s := hK.inter_right <| (isClosed_ball _ hWc).preimage f.continuous
-- `f` maps `s` to the open set `ball (f x) V = {z | (f x, z) ∈ V}`
have hmaps : MapsTo f s (ball (f x) V) := fun x hx ↦ hWU hx.2
use s, hnhds
-- Continuous maps `F i` in a neighbourhood of `f` map `s` to `ball (f x) V` as well.
refine (h s hcomp _ (isOpen_ball _ hVo) hmaps).mono fun g hg y hy ↦ ?_
-- Then for `y ∈ s` we have `(f y, f x) ∈ V` and `(f x, F i y) ∈ V`, thus `(f y, F i y) ∈ U`
exact hVU ⟨f x, hVsymm.mk_mem_comm.2 <| hmaps hy, hg hy⟩
· -- Now we prove that uniform convergence on compacts
-- implies convergence in the compact-open topology
-- Consider a compact set `K`, an open set `U`, and a continuous map `f` that maps `K` to `U`
intro h K hK U hU hf
-- Due to Lebesgue number lemma, there exists an entourage `V`
-- such that `U` includes the `V`-thickening of `f '' K`.
rcases lebesgue_number_of_compact_open (hK.image (map_continuous f)) hU hf.image_subset
with ⟨V, hV, -, hVf⟩
-- Then any continuous map that is uniformly `V`-close to `f` on `K`
-- maps `K` to `U` as well
filter_upwards [h K hK V hV] with g hg x hx using hVf _ (mem_image_of_mem f hx) (hg x hx)
#align continuous_map.tendsto_iff_forall_compact_tendsto_uniformly_on ContinuousMap.tendsto_iff_forall_compact_tendstoUniformlyOn
def toUniformOnFunIsCompact (f : C(α, β)) : α →ᵤ[{K | IsCompact K}] β :=
UniformOnFun.ofFun {K | IsCompact K} f
@[simp]
theorem toUniformOnFun_toFun (f : C(α, β)) :
UniformOnFun.toFun _ f.toUniformOnFunIsCompact = f := rfl
open UniformSpace in
instance compactConvergenceUniformSpace : UniformSpace C(α, β) :=
.replaceTopology (.comap toUniformOnFunIsCompact inferInstance) <| by
refine TopologicalSpace.ext_nhds fun f ↦ eq_of_forall_le_iff fun l ↦ ?_
simp_rw [← tendsto_id', tendsto_iff_forall_compact_tendstoUniformlyOn,
nhds_induced, tendsto_comap_iff, UniformOnFun.tendsto_iff_tendstoUniformlyOn]
rfl
#align continuous_map.compact_convergence_uniform_space ContinuousMap.compactConvergenceUniformSpace
theorem uniformEmbedding_toUniformOnFunIsCompact :
UniformEmbedding (toUniformOnFunIsCompact : C(α, β) → α →ᵤ[{K | IsCompact K}] β) where
comap_uniformity := rfl
inj := DFunLike.coe_injective
-- The following definitions and theorems
-- used to be a part of the construction of the `UniformSpace C(α, β)` structure
-- before it was migrated to `UniformOnFun`
#noalign continuous_map.compact_conv_nhd
#noalign continuous_map.self_mem_compact_conv_nhd
#noalign continuous_map.compact_conv_nhd_mono
#noalign continuous_map.compact_conv_nhd_mem_comp
#noalign continuous_map.compact_conv_nhd_nhd_basis
#noalign continuous_map.compact_conv_nhd_subset_inter
#noalign continuous_map.compact_conv_nhd_compact_entourage_nonempty
#noalign continuous_map.compact_conv_nhd_filter_is_basis
#noalign continuous_map.compact_convergence_filter_basis
#noalign continuous_map.mem_compact_convergence_nhd_filter
#noalign continuous_map.compact_convergence_topology
#noalign continuous_map.nhds_compact_convergence
#noalign continuous_map.has_basis_nhds_compact_convergence
#noalign continuous_map.tendsto_iff_forall_compact_tendsto_uniformly_on'
#noalign continuous_map.compact_conv_nhd_subset_compact_open
#noalign continuous_map.Inter_compact_open_gen_subset_compact_conv_nhd
#noalign continuous_map.compact_open_eq_compact_convergence
#noalign continuous_map.compact_convergence_uniformity
#noalign continuous_map.has_basis_compact_convergence_uniformity_aux
#noalign continuous_map.mem_compact_convergence_uniformity
theorem _root_.Filter.HasBasis.compactConvergenceUniformity {ι : Type*} {pi : ι → Prop}
{s : ι → Set (β × β)} (h : (𝓤 β).HasBasis pi s) :
HasBasis (𝓤 C(α, β)) (fun p : Set α × ι => IsCompact p.1 ∧ pi p.2) fun p =>
{ fg : C(α, β) × C(α, β) | ∀ x ∈ p.1, (fg.1 x, fg.2 x) ∈ s p.2 } := by
rw [← uniformEmbedding_toUniformOnFunIsCompact.comap_uniformity]
exact .comap _ <| UniformOnFun.hasBasis_uniformity_of_basis _ _ {K | IsCompact K}
⟨∅, isCompact_empty⟩ (directedOn_of_sup_mem fun _ _ ↦ IsCompact.union) h
#align filter.has_basis.compact_convergence_uniformity Filter.HasBasis.compactConvergenceUniformity
theorem hasBasis_compactConvergenceUniformity :
HasBasis (𝓤 C(α, β)) (fun p : Set α × Set (β × β) => IsCompact p.1 ∧ p.2 ∈ 𝓤 β) fun p =>
{ fg : C(α, β) × C(α, β) | ∀ x ∈ p.1, (fg.1 x, fg.2 x) ∈ p.2 } :=
(basis_sets _).compactConvergenceUniformity
#align continuous_map.has_basis_compact_convergence_uniformity ContinuousMap.hasBasis_compactConvergenceUniformity
theorem mem_compactConvergence_entourage_iff (X : Set (C(α, β) × C(α, β))) :
X ∈ 𝓤 C(α, β) ↔
∃ (K : Set α) (V : Set (β × β)), IsCompact K ∧ V ∈ 𝓤 β ∧
{ fg : C(α, β) × C(α, β) | ∀ x ∈ K, (fg.1 x, fg.2 x) ∈ V } ⊆ X := by
simp [hasBasis_compactConvergenceUniformity.mem_iff, and_assoc]
#align continuous_map.mem_compact_convergence_entourage_iff ContinuousMap.mem_compactConvergence_entourage_iff
theorem _root_.CompactExhaustion.hasBasis_compactConvergenceUniformity {ι : Type*}
{p : ι → Prop} {V : ι → Set (β × β)} (K : CompactExhaustion α) (hb : (𝓤 β).HasBasis p V) :
HasBasis (𝓤 C(α, β)) (fun i : ℕ × ι ↦ p i.2) fun i ↦
{fg | ∀ x ∈ K i.1, (fg.1 x, fg.2 x) ∈ V i.2} :=
(UniformOnFun.hasBasis_uniformity_of_covering_of_basis {K | IsCompact K} K.isCompact
(Monotone.directed_le K.subset) (fun _ ↦ K.exists_superset_of_isCompact) hb).comap _
theorem _root_.CompactExhaustion.hasAntitoneBasis_compactConvergenceUniformity
{V : ℕ → Set (β × β)} (K : CompactExhaustion α) (hb : (𝓤 β).HasAntitoneBasis V) :
HasAntitoneBasis (𝓤 C(α, β)) fun n ↦ {fg | ∀ x ∈ K n, (fg.1 x, fg.2 x) ∈ V n} :=
(UniformOnFun.hasAntitoneBasis_uniformity {K | IsCompact K} K.isCompact
K.subset (fun _ ↦ K.exists_superset_of_isCompact) hb).comap _
instance [WeaklyLocallyCompactSpace α] [SigmaCompactSpace α] [IsCountablyGenerated (𝓤 β)] :
IsCountablyGenerated (𝓤 (C(α, β))) :=
let ⟨_V, hV⟩ := exists_antitone_basis (𝓤 β)
((CompactExhaustion.choice α).hasAntitoneBasis_compactConvergenceUniformity
hV).isCountablyGenerated
variable {ι : Type u₃} {p : Filter ι} {F : ι → C(α, β)} {f}
theorem tendsto_of_tendstoLocallyUniformly (h : TendstoLocallyUniformly (fun i a => F i a) f p) :
Tendsto F p (𝓝 f) := by
rw [tendsto_iff_forall_compact_tendstoUniformlyOn]
intro K hK
rw [← tendstoLocallyUniformlyOn_iff_tendstoUniformlyOn_of_compact hK]
exact h.tendstoLocallyUniformlyOn
#align continuous_map.tendsto_of_tendsto_locally_uniformly ContinuousMap.tendsto_of_tendstoLocallyUniformly
theorem tendsto_iff_tendstoLocallyUniformly [WeaklyLocallyCompactSpace α] :
Tendsto F p (𝓝 f) ↔ TendstoLocallyUniformly (fun i a => F i a) f p := by
refine ⟨fun h V hV x ↦ ?_, tendsto_of_tendstoLocallyUniformly⟩
rw [tendsto_iff_forall_compact_tendstoUniformlyOn] at h
obtain ⟨n, hn₁, hn₂⟩ := exists_compact_mem_nhds x
exact ⟨n, hn₂, h n hn₁ V hV⟩
#align continuous_map.tendsto_iff_tendsto_locally_uniformly ContinuousMap.tendsto_iff_tendstoLocallyUniformly
@[deprecated tendsto_iff_tendstoLocallyUniformly (since := "2023-09-03")]
theorem tendstoLocallyUniformly_of_tendsto [WeaklyLocallyCompactSpace α] (h : Tendsto F p (𝓝 f)) :
TendstoLocallyUniformly (fun i a => F i a) f p :=
tendsto_iff_tendstoLocallyUniformly.1 h
#align continuous_map.tendsto_locally_uniformly_of_tendsto ContinuousMap.tendstoLocallyUniformly_of_tendsto
section CompactDomain
variable [CompactSpace α]
theorem hasBasis_compactConvergenceUniformity_of_compact :
HasBasis (𝓤 C(α, β)) (fun V : Set (β × β) => V ∈ 𝓤 β) fun V =>
{ fg : C(α, β) × C(α, β) | ∀ x, (fg.1 x, fg.2 x) ∈ V } :=
hasBasis_compactConvergenceUniformity.to_hasBasis
(fun p hp => ⟨p.2, hp.2, fun _fg hfg x _hx => hfg x⟩) fun V hV =>
⟨⟨univ, V⟩, ⟨isCompact_univ, hV⟩, fun _fg hfg x => hfg x (mem_univ x)⟩
#align continuous_map.has_basis_compact_convergence_uniformity_of_compact ContinuousMap.hasBasis_compactConvergenceUniformity_of_compact
| Mathlib/Topology/UniformSpace/CompactConvergence.lean | 340 | 343 | theorem tendsto_iff_tendstoUniformly :
Tendsto F p (𝓝 f) ↔ TendstoUniformly (fun i a => F i a) f p := by |
rw [tendsto_iff_forall_compact_tendstoUniformlyOn, ← tendstoUniformlyOn_univ]
exact ⟨fun h => h univ isCompact_univ, fun h K _hK => h.mono (subset_univ K)⟩
|
import Mathlib.MeasureTheory.Measure.Dirac
set_option autoImplicit true
open Set
open scoped ENNReal Classical
variable [MeasurableSpace α] [MeasurableSpace β] {s : Set α}
noncomputable section
namespace MeasureTheory.Measure
def count : Measure α :=
sum dirac
#align measure_theory.measure.count MeasureTheory.Measure.count
theorem le_count_apply : ∑' _ : s, (1 : ℝ≥0∞) ≤ count s :=
calc
(∑' _ : s, 1 : ℝ≥0∞) = ∑' i, indicator s 1 i := tsum_subtype s 1
_ ≤ ∑' i, dirac i s := ENNReal.tsum_le_tsum fun _ => le_dirac_apply
_ ≤ count s := le_sum_apply _ _
#align measure_theory.measure.le_count_apply MeasureTheory.Measure.le_count_apply
theorem count_apply (hs : MeasurableSet s) : count s = ∑' i : s, 1 := by
simp only [count, sum_apply, hs, dirac_apply', ← tsum_subtype s (1 : α → ℝ≥0∞), Pi.one_apply]
#align measure_theory.measure.count_apply MeasureTheory.Measure.count_apply
-- @[simp] -- Porting note (#10618): simp can prove this
theorem count_empty : count (∅ : Set α) = 0 := by rw [count_apply MeasurableSet.empty, tsum_empty]
#align measure_theory.measure.count_empty MeasureTheory.Measure.count_empty
@[simp]
theorem count_apply_finset' {s : Finset α} (s_mble : MeasurableSet (s : Set α)) :
count (↑s : Set α) = s.card :=
calc
count (↑s : Set α) = ∑' i : (↑s : Set α), 1 := count_apply s_mble
_ = ∑ i ∈ s, 1 := s.tsum_subtype 1
_ = s.card := by simp
#align measure_theory.measure.count_apply_finset' MeasureTheory.Measure.count_apply_finset'
@[simp]
theorem count_apply_finset [MeasurableSingletonClass α] (s : Finset α) :
count (↑s : Set α) = s.card :=
count_apply_finset' s.measurableSet
#align measure_theory.measure.count_apply_finset MeasureTheory.Measure.count_apply_finset
theorem count_apply_finite' {s : Set α} (s_fin : s.Finite) (s_mble : MeasurableSet s) :
count s = s_fin.toFinset.card := by
simp [←
@count_apply_finset' _ _ s_fin.toFinset (by simpa only [Finite.coe_toFinset] using s_mble)]
#align measure_theory.measure.count_apply_finite' MeasureTheory.Measure.count_apply_finite'
theorem count_apply_finite [MeasurableSingletonClass α] (s : Set α) (hs : s.Finite) :
count s = hs.toFinset.card := by rw [← count_apply_finset, Finite.coe_toFinset]
#align measure_theory.measure.count_apply_finite MeasureTheory.Measure.count_apply_finite
theorem count_apply_infinite (hs : s.Infinite) : count s = ∞ := by
refine top_unique (le_of_tendsto' ENNReal.tendsto_nat_nhds_top fun n => ?_)
rcases hs.exists_subset_card_eq n with ⟨t, ht, rfl⟩
calc
(t.card : ℝ≥0∞) = ∑ i ∈ t, 1 := by simp
_ = ∑' i : (t : Set α), 1 := (t.tsum_subtype 1).symm
_ ≤ count (t : Set α) := le_count_apply
_ ≤ count s := measure_mono ht
#align measure_theory.measure.count_apply_infinite MeasureTheory.Measure.count_apply_infinite
@[simp]
theorem count_apply_eq_top' (s_mble : MeasurableSet s) : count s = ∞ ↔ s.Infinite := by
by_cases hs : s.Finite
· simp [Set.Infinite, hs, count_apply_finite' hs s_mble]
· change s.Infinite at hs
simp [hs, count_apply_infinite]
#align measure_theory.measure.count_apply_eq_top' MeasureTheory.Measure.count_apply_eq_top'
@[simp]
theorem count_apply_eq_top [MeasurableSingletonClass α] : count s = ∞ ↔ s.Infinite := by
by_cases hs : s.Finite
· exact count_apply_eq_top' hs.measurableSet
· change s.Infinite at hs
simp [hs, count_apply_infinite]
#align measure_theory.measure.count_apply_eq_top MeasureTheory.Measure.count_apply_eq_top
@[simp]
theorem count_apply_lt_top' (s_mble : MeasurableSet s) : count s < ∞ ↔ s.Finite :=
calc
count s < ∞ ↔ count s ≠ ∞ := lt_top_iff_ne_top
_ ↔ ¬s.Infinite := not_congr (count_apply_eq_top' s_mble)
_ ↔ s.Finite := Classical.not_not
#align measure_theory.measure.count_apply_lt_top' MeasureTheory.Measure.count_apply_lt_top'
@[simp]
theorem count_apply_lt_top [MeasurableSingletonClass α] : count s < ∞ ↔ s.Finite :=
calc
count s < ∞ ↔ count s ≠ ∞ := lt_top_iff_ne_top
_ ↔ ¬s.Infinite := not_congr count_apply_eq_top
_ ↔ s.Finite := Classical.not_not
#align measure_theory.measure.count_apply_lt_top MeasureTheory.Measure.count_apply_lt_top
theorem empty_of_count_eq_zero' (s_mble : MeasurableSet s) (hsc : count s = 0) : s = ∅ := by
have hs : s.Finite := by
rw [← count_apply_lt_top' s_mble, hsc]
exact WithTop.zero_lt_top
simpa [count_apply_finite' hs s_mble] using hsc
#align measure_theory.measure.empty_of_count_eq_zero' MeasureTheory.Measure.empty_of_count_eq_zero'
theorem empty_of_count_eq_zero [MeasurableSingletonClass α] (hsc : count s = 0) : s = ∅ := by
have hs : s.Finite := by
rw [← count_apply_lt_top, hsc]
exact WithTop.zero_lt_top
simpa [count_apply_finite _ hs] using hsc
#align measure_theory.measure.empty_of_count_eq_zero MeasureTheory.Measure.empty_of_count_eq_zero
@[simp]
theorem count_eq_zero_iff' (s_mble : MeasurableSet s) : count s = 0 ↔ s = ∅ :=
⟨empty_of_count_eq_zero' s_mble, fun h => h.symm ▸ count_empty⟩
#align measure_theory.measure.count_eq_zero_iff' MeasureTheory.Measure.count_eq_zero_iff'
@[simp]
theorem count_eq_zero_iff [MeasurableSingletonClass α] : count s = 0 ↔ s = ∅ :=
⟨empty_of_count_eq_zero, fun h => h.symm ▸ count_empty⟩
#align measure_theory.measure.count_eq_zero_iff MeasureTheory.Measure.count_eq_zero_iff
theorem count_ne_zero' (hs' : s.Nonempty) (s_mble : MeasurableSet s) : count s ≠ 0 := by
rw [Ne, count_eq_zero_iff' s_mble]
exact hs'.ne_empty
#align measure_theory.measure.count_ne_zero' MeasureTheory.Measure.count_ne_zero'
theorem count_ne_zero [MeasurableSingletonClass α] (hs' : s.Nonempty) : count s ≠ 0 := by
rw [Ne, count_eq_zero_iff]
exact hs'.ne_empty
#align measure_theory.measure.count_ne_zero MeasureTheory.Measure.count_ne_zero
@[simp]
theorem count_singleton' {a : α} (ha : MeasurableSet ({a} : Set α)) : count ({a} : Set α) = 1 := by
rw [count_apply_finite' (Set.finite_singleton a) ha, Set.Finite.toFinset]
simp [@toFinset_card _ _ (Set.finite_singleton a).fintype,
@Fintype.card_unique _ _ (Set.finite_singleton a).fintype]
#align measure_theory.measure.count_singleton' MeasureTheory.Measure.count_singleton'
-- @[simp] -- Porting note (#10618): simp can prove this
theorem count_singleton [MeasurableSingletonClass α] (a : α) : count ({a} : Set α) = 1 :=
count_singleton' (measurableSet_singleton a)
#align measure_theory.measure.count_singleton MeasureTheory.Measure.count_singleton
| Mathlib/MeasureTheory/Measure/Count.lean | 161 | 170 | theorem count_injective_image' {f : β → α} (hf : Function.Injective f) {s : Set β}
(s_mble : MeasurableSet s) (fs_mble : MeasurableSet (f '' s)) : count (f '' s) = count s := by |
by_cases hs : s.Finite
· lift s to Finset β using hs
rw [← Finset.coe_image, count_apply_finset' _, count_apply_finset' s_mble,
s.card_image_of_injective hf]
simpa only [Finset.coe_image] using fs_mble
· rw [count_apply_infinite hs]
rw [← finite_image_iff hf.injOn] at hs
rw [count_apply_infinite hs]
|
import Mathlib.Algebra.BigOperators.Group.List
import Mathlib.Data.Vector.Defs
import Mathlib.Data.List.Nodup
import Mathlib.Data.List.OfFn
import Mathlib.Data.List.InsertNth
import Mathlib.Control.Applicative
import Mathlib.Control.Traversable.Basic
#align_import data.vector.basic from "leanprover-community/mathlib"@"f694c7dead66f5d4c80f446c796a5aad14707f0e"
set_option autoImplicit true
universe u
variable {n : ℕ}
namespace Vector
variable {α : Type*}
@[inherit_doc]
infixr:67 " ::ᵥ " => Vector.cons
attribute [simp] head_cons tail_cons
instance [Inhabited α] : Inhabited (Vector α n) :=
⟨ofFn default⟩
theorem toList_injective : Function.Injective (@toList α n) :=
Subtype.val_injective
#align vector.to_list_injective Vector.toList_injective
@[ext]
theorem ext : ∀ {v w : Vector α n} (_ : ∀ m : Fin n, Vector.get v m = Vector.get w m), v = w
| ⟨v, hv⟩, ⟨w, hw⟩, h =>
Subtype.eq (List.ext_get (by rw [hv, hw]) fun m hm _ => h ⟨m, hv ▸ hm⟩)
#align vector.ext Vector.ext
instance zero_subsingleton : Subsingleton (Vector α 0) :=
⟨fun _ _ => Vector.ext fun m => Fin.elim0 m⟩
#align vector.zero_subsingleton Vector.zero_subsingleton
@[simp]
theorem cons_val (a : α) : ∀ v : Vector α n, (a ::ᵥ v).val = a :: v.val
| ⟨_, _⟩ => rfl
#align vector.cons_val Vector.cons_val
#align vector.cons_head Vector.head_cons
#align vector.cons_tail Vector.tail_cons
theorem eq_cons_iff (a : α) (v : Vector α n.succ) (v' : Vector α n) :
v = a ::ᵥ v' ↔ v.head = a ∧ v.tail = v' :=
⟨fun h => h.symm ▸ ⟨head_cons a v', tail_cons a v'⟩, fun h =>
_root_.trans (cons_head_tail v).symm (by rw [h.1, h.2])⟩
#align vector.eq_cons_iff Vector.eq_cons_iff
theorem ne_cons_iff (a : α) (v : Vector α n.succ) (v' : Vector α n) :
v ≠ a ::ᵥ v' ↔ v.head ≠ a ∨ v.tail ≠ v' := by rw [Ne, eq_cons_iff a v v', not_and_or]
#align vector.ne_cons_iff Vector.ne_cons_iff
theorem exists_eq_cons (v : Vector α n.succ) : ∃ (a : α) (as : Vector α n), v = a ::ᵥ as :=
⟨v.head, v.tail, (eq_cons_iff v.head v v.tail).2 ⟨rfl, rfl⟩⟩
#align vector.exists_eq_cons Vector.exists_eq_cons
@[simp]
theorem toList_ofFn : ∀ {n} (f : Fin n → α), toList (ofFn f) = List.ofFn f
| 0, f => by rw [ofFn, List.ofFn_zero, toList, nil]
| n + 1, f => by rw [ofFn, List.ofFn_succ, toList_cons, toList_ofFn]
#align vector.to_list_of_fn Vector.toList_ofFn
@[simp]
theorem mk_toList : ∀ (v : Vector α n) (h), (⟨toList v, h⟩ : Vector α n) = v
| ⟨_, _⟩, _ => rfl
#align vector.mk_to_list Vector.mk_toList
@[simp] theorem length_val (v : Vector α n) : v.val.length = n := v.2
-- Porting note: not used in mathlib and coercions done differently in Lean 4
-- @[simp]
-- theorem length_coe (v : Vector α n) :
-- ((coe : { l : List α // l.length = n } → List α) v).length = n :=
-- v.2
#noalign vector.length_coe
@[simp]
theorem toList_map {β : Type*} (v : Vector α n) (f : α → β) :
(v.map f).toList = v.toList.map f := by cases v; rfl
#align vector.to_list_map Vector.toList_map
@[simp]
theorem head_map {β : Type*} (v : Vector α (n + 1)) (f : α → β) : (v.map f).head = f v.head := by
obtain ⟨a, v', h⟩ := Vector.exists_eq_cons v
rw [h, map_cons, head_cons, head_cons]
#align vector.head_map Vector.head_map
@[simp]
theorem tail_map {β : Type*} (v : Vector α (n + 1)) (f : α → β) :
(v.map f).tail = v.tail.map f := by
obtain ⟨a, v', h⟩ := Vector.exists_eq_cons v
rw [h, map_cons, tail_cons, tail_cons]
#align vector.tail_map Vector.tail_map
theorem get_eq_get (v : Vector α n) (i : Fin n) :
v.get i = v.toList.get (Fin.cast v.toList_length.symm i) :=
rfl
#align vector.nth_eq_nth_le Vector.get_eq_getₓ
@[simp]
theorem get_replicate (a : α) (i : Fin n) : (Vector.replicate n a).get i = a := by
apply List.get_replicate
#align vector.nth_repeat Vector.get_replicate
@[simp]
theorem get_map {β : Type*} (v : Vector α n) (f : α → β) (i : Fin n) :
(v.map f).get i = f (v.get i) := by
cases v; simp [Vector.map, get_eq_get]; rfl
#align vector.nth_map Vector.get_map
@[simp]
theorem map₂_nil (f : α → β → γ) : Vector.map₂ f nil nil = nil :=
rfl
@[simp]
theorem map₂_cons (hd₁ : α) (tl₁ : Vector α n) (hd₂ : β) (tl₂ : Vector β n) (f : α → β → γ) :
Vector.map₂ f (hd₁ ::ᵥ tl₁) (hd₂ ::ᵥ tl₂) = f hd₁ hd₂ ::ᵥ (Vector.map₂ f tl₁ tl₂) :=
rfl
@[simp]
theorem get_ofFn {n} (f : Fin n → α) (i) : get (ofFn f) i = f i := by
conv_rhs => erw [← List.get_ofFn f ⟨i, by simp⟩]
simp only [get_eq_get]
congr <;> simp [Fin.heq_ext_iff]
#align vector.nth_of_fn Vector.get_ofFn
@[simp]
theorem ofFn_get (v : Vector α n) : ofFn (get v) = v := by
rcases v with ⟨l, rfl⟩
apply toList_injective
dsimp
simpa only [toList_ofFn] using List.ofFn_get _
#align vector.of_fn_nth Vector.ofFn_get
def _root_.Equiv.vectorEquivFin (α : Type*) (n : ℕ) : Vector α n ≃ (Fin n → α) :=
⟨Vector.get, Vector.ofFn, Vector.ofFn_get, fun f => funext <| Vector.get_ofFn f⟩
#align equiv.vector_equiv_fin Equiv.vectorEquivFin
theorem get_tail (x : Vector α n) (i) : x.tail.get i = x.get ⟨i.1 + 1, by omega⟩ := by
cases' i with i ih; dsimp
rcases x with ⟨_ | _, h⟩ <;> try rfl
rw [List.length] at h
rw [← h] at ih
contradiction
#align vector.nth_tail Vector.get_tail
@[simp]
theorem get_tail_succ : ∀ (v : Vector α n.succ) (i : Fin n), get (tail v) i = get v i.succ
| ⟨a :: l, e⟩, ⟨i, h⟩ => by simp [get_eq_get]; rfl
#align vector.nth_tail_succ Vector.get_tail_succ
@[simp]
theorem tail_val : ∀ v : Vector α n.succ, v.tail.val = v.val.tail
| ⟨_ :: _, _⟩ => rfl
#align vector.tail_val Vector.tail_val
@[simp]
theorem tail_nil : (@nil α).tail = nil :=
rfl
#align vector.tail_nil Vector.tail_nil
@[simp]
theorem singleton_tail : ∀ (v : Vector α 1), v.tail = Vector.nil
| ⟨[_], _⟩ => rfl
#align vector.singleton_tail Vector.singleton_tail
@[simp]
theorem tail_ofFn {n : ℕ} (f : Fin n.succ → α) : tail (ofFn f) = ofFn fun i => f i.succ :=
(ofFn_get _).symm.trans <| by
congr
funext i
rw [get_tail, get_ofFn]
rfl
#align vector.tail_of_fn Vector.tail_ofFn
@[simp]
theorem toList_empty (v : Vector α 0) : v.toList = [] :=
List.length_eq_zero.mp v.2
#align vector.to_list_empty Vector.toList_empty
@[simp]
theorem toList_singleton (v : Vector α 1) : v.toList = [v.head] := by
rw [← v.cons_head_tail]
simp only [toList_cons, toList_nil, head_cons, eq_self_iff_true, and_self_iff, singleton_tail]
#align vector.to_list_singleton Vector.toList_singleton
@[simp]
theorem empty_toList_eq_ff (v : Vector α (n + 1)) : v.toList.isEmpty = false :=
match v with
| ⟨_ :: _, _⟩ => rfl
#align vector.empty_to_list_eq_ff Vector.empty_toList_eq_ff
theorem not_empty_toList (v : Vector α (n + 1)) : ¬v.toList.isEmpty := by
simp only [empty_toList_eq_ff, Bool.coe_sort_false, not_false_iff]
#align vector.not_empty_to_list Vector.not_empty_toList
@[simp]
theorem map_id {n : ℕ} (v : Vector α n) : Vector.map id v = v :=
Vector.eq _ _ (by simp only [List.map_id, Vector.toList_map])
#align vector.map_id Vector.map_id
theorem nodup_iff_injective_get {v : Vector α n} : v.toList.Nodup ↔ Function.Injective v.get := by
cases' v with l hl
subst hl
exact List.nodup_iff_injective_get
#align vector.nodup_iff_nth_inj Vector.nodup_iff_injective_get
theorem head?_toList : ∀ v : Vector α n.succ, (toList v).head? = some (head v)
| ⟨_ :: _, _⟩ => rfl
#align vector.head'_to_list Vector.head?_toList
def reverse (v : Vector α n) : Vector α n :=
⟨v.toList.reverse, by simp⟩
#align vector.reverse Vector.reverse
theorem toList_reverse {v : Vector α n} : v.reverse.toList = v.toList.reverse :=
rfl
#align vector.to_list_reverse Vector.toList_reverse
@[simp]
theorem reverse_reverse {v : Vector α n} : v.reverse.reverse = v := by
cases v
simp [Vector.reverse]
#align vector.reverse_reverse Vector.reverse_reverse
@[simp]
theorem get_zero : ∀ v : Vector α n.succ, get v 0 = head v
| ⟨_ :: _, _⟩ => rfl
#align vector.nth_zero Vector.get_zero
@[simp]
theorem head_ofFn {n : ℕ} (f : Fin n.succ → α) : head (ofFn f) = f 0 := by
rw [← get_zero, get_ofFn]
#align vector.head_of_fn Vector.head_ofFn
--@[simp] Porting note (#10618): simp can prove it
theorem get_cons_zero (a : α) (v : Vector α n) : get (a ::ᵥ v) 0 = a := by simp [get_zero]
#align vector.nth_cons_zero Vector.get_cons_zero
@[simp]
theorem get_cons_nil : ∀ {ix : Fin 1} (x : α), get (x ::ᵥ nil) ix = x
| ⟨0, _⟩, _ => rfl
#align vector.nth_cons_nil Vector.get_cons_nil
@[simp]
theorem get_cons_succ (a : α) (v : Vector α n) (i : Fin n) : get (a ::ᵥ v) i.succ = get v i := by
rw [← get_tail_succ, tail_cons]
#align vector.nth_cons_succ Vector.get_cons_succ
def last (v : Vector α (n + 1)) : α :=
v.get (Fin.last n)
#align vector.last Vector.last
theorem last_def {v : Vector α (n + 1)} : v.last = v.get (Fin.last n) :=
rfl
#align vector.last_def Vector.last_def
theorem reverse_get_zero {v : Vector α (n + 1)} : v.reverse.head = v.last := by
rw [← get_zero, last_def, get_eq_get, get_eq_get]
simp_rw [toList_reverse]
rw [← Option.some_inj, Fin.cast, Fin.cast, ← List.get?_eq_get, ← List.get?_eq_get,
List.get?_reverse]
· congr
simp
· simp
#align vector.reverse_nth_zero Vector.reverse_get_zero
def mOfFn {m} [Monad m] {α : Type u} : ∀ {n}, (Fin n → m α) → m (Vector α n)
| 0, _ => pure nil
| _ + 1, f => do
let a ← f 0
let v ← mOfFn fun i => f i.succ
pure (a ::ᵥ v)
#align vector.m_of_fn Vector.mOfFn
theorem mOfFn_pure {m} [Monad m] [LawfulMonad m] {α} :
∀ {n} (f : Fin n → α), (@mOfFn m _ _ _ fun i => pure (f i)) = pure (ofFn f)
| 0, f => rfl
| n + 1, f => by
rw [mOfFn, @mOfFn_pure m _ _ _ n _, ofFn]
simp
#align vector.m_of_fn_pure Vector.mOfFn_pure
def mmap {m} [Monad m] {α} {β : Type u} (f : α → m β) : ∀ {n}, Vector α n → m (Vector β n)
| 0, _ => pure nil
| _ + 1, xs => do
let h' ← f xs.head
let t' ← mmap f xs.tail
pure (h' ::ᵥ t')
#align vector.mmap Vector.mmap
@[simp]
theorem mmap_nil {m} [Monad m] {α β} (f : α → m β) : mmap f nil = pure nil :=
rfl
#align vector.mmap_nil Vector.mmap_nil
@[simp]
theorem mmap_cons {m} [Monad m] {α β} (f : α → m β) (a) :
∀ {n} (v : Vector α n),
mmap f (a ::ᵥ v) = do
let h' ← f a
let t' ← mmap f v
pure (h' ::ᵥ t')
| _, ⟨_, rfl⟩ => rfl
#align vector.mmap_cons Vector.mmap_cons
@[elab_as_elim, induction_eliminator]
def inductionOn {C : ∀ {n : ℕ}, Vector α n → Sort*} {n : ℕ} (v : Vector α n)
(nil : C nil) (cons : ∀ {n : ℕ} {x : α} {w : Vector α n}, C w → C (x ::ᵥ w)) : C v := by
-- Porting note: removed `generalizing`: already generalized
induction' n with n ih
· rcases v with ⟨_ | ⟨-, -⟩, - | -⟩
exact nil
· rcases v with ⟨_ | ⟨a, v⟩, v_property⟩
cases v_property
exact cons (ih ⟨v, (add_left_inj 1).mp v_property⟩)
#align vector.induction_on Vector.inductionOn
@[simp]
theorem inductionOn_nil {C : ∀ {n : ℕ}, Vector α n → Sort*}
(nil : C nil) (cons : ∀ {n : ℕ} {x : α} {w : Vector α n}, C w → C (x ::ᵥ w)) :
Vector.nil.inductionOn nil cons = nil :=
rfl
@[simp]
theorem inductionOn_cons {C : ∀ {n : ℕ}, Vector α n → Sort*} {n : ℕ} (x : α) (v : Vector α n)
(nil : C nil) (cons : ∀ {n : ℕ} {x : α} {w : Vector α n}, C w → C (x ::ᵥ w)) :
(x ::ᵥ v).inductionOn nil cons = cons (v.inductionOn nil cons : C v) :=
rfl
variable {β γ : Type*}
@[elab_as_elim]
def inductionOn₂ {C : ∀ {n}, Vector α n → Vector β n → Sort*}
(v : Vector α n) (w : Vector β n)
(nil : C nil nil) (cons : ∀ {n a b} {x : Vector α n} {y}, C x y → C (a ::ᵥ x) (b ::ᵥ y)) :
C v w := by
-- Porting note: removed `generalizing`: already generalized
induction' n with n ih
· rcases v with ⟨_ | ⟨-, -⟩, - | -⟩
rcases w with ⟨_ | ⟨-, -⟩, - | -⟩
exact nil
· rcases v with ⟨_ | ⟨a, v⟩, v_property⟩
cases v_property
rcases w with ⟨_ | ⟨b, w⟩, w_property⟩
cases w_property
apply @cons n _ _ ⟨v, (add_left_inj 1).mp v_property⟩ ⟨w, (add_left_inj 1).mp w_property⟩
apply ih
#align vector.induction_on₂ Vector.inductionOn₂
@[elab_as_elim]
def inductionOn₃ {C : ∀ {n}, Vector α n → Vector β n → Vector γ n → Sort*}
(u : Vector α n) (v : Vector β n) (w : Vector γ n) (nil : C nil nil nil)
(cons : ∀ {n a b c} {x : Vector α n} {y z}, C x y z → C (a ::ᵥ x) (b ::ᵥ y) (c ::ᵥ z)) :
C u v w := by
-- Porting note: removed `generalizing`: already generalized
induction' n with n ih
· rcases u with ⟨_ | ⟨-, -⟩, - | -⟩
rcases v with ⟨_ | ⟨-, -⟩, - | -⟩
rcases w with ⟨_ | ⟨-, -⟩, - | -⟩
exact nil
· rcases u with ⟨_ | ⟨a, u⟩, u_property⟩
cases u_property
rcases v with ⟨_ | ⟨b, v⟩, v_property⟩
cases v_property
rcases w with ⟨_ | ⟨c, w⟩, w_property⟩
cases w_property
apply
@cons n _ _ _ ⟨u, (add_left_inj 1).mp u_property⟩ ⟨v, (add_left_inj 1).mp v_property⟩
⟨w, (add_left_inj 1).mp w_property⟩
apply ih
#align vector.induction_on₃ Vector.inductionOn₃
def casesOn {motive : ∀ {n}, Vector α n → Sort*} (v : Vector α m)
(nil : motive nil)
(cons : ∀ {n}, (hd : α) → (tl : Vector α n) → motive (Vector.cons hd tl)) :
motive v :=
inductionOn (C := motive) v nil @fun _ hd tl _ => cons hd tl
def casesOn₂ {motive : ∀{n}, Vector α n → Vector β n → Sort*} (v₁ : Vector α m) (v₂ : Vector β m)
(nil : motive nil nil)
(cons : ∀{n}, (x : α) → (y : β) → (xs : Vector α n) → (ys : Vector β n)
→ motive (x ::ᵥ xs) (y ::ᵥ ys)) :
motive v₁ v₂ :=
inductionOn₂ (C := motive) v₁ v₂ nil @fun _ x y xs ys _ => cons x y xs ys
def casesOn₃ {motive : ∀{n}, Vector α n → Vector β n → Vector γ n → Sort*} (v₁ : Vector α m)
(v₂ : Vector β m) (v₃ : Vector γ m) (nil : motive nil nil nil)
(cons : ∀{n}, (x : α) → (y : β) → (z : γ) → (xs : Vector α n) → (ys : Vector β n)
→ (zs : Vector γ n) → motive (x ::ᵥ xs) (y ::ᵥ ys) (z ::ᵥ zs)) :
motive v₁ v₂ v₃ :=
inductionOn₃ (C := motive) v₁ v₂ v₃ nil @fun _ x y z xs ys zs _ => cons x y z xs ys zs
def toArray : Vector α n → Array α
| ⟨xs, _⟩ => cast (by rfl) xs.toArray
#align vector.to_array Vector.toArray
-- Porting note: renamed to `set` from `updateNth` to align with `List`
section ModifyNth
def set (v : Vector α n) (i : Fin n) (a : α) : Vector α n :=
⟨v.1.set i.1 a, by simp⟩
#align vector.update_nth Vector.set
@[simp]
theorem toList_set (v : Vector α n) (i : Fin n) (a : α) :
(v.set i a).toList = v.toList.set i a :=
rfl
#align vector.to_list_update_nth Vector.toList_set
@[simp]
theorem get_set_same (v : Vector α n) (i : Fin n) (a : α) : (v.set i a).get i = a := by
cases v; cases i; simp [Vector.set, get_eq_get]
#align vector.nth_update_nth_same Vector.get_set_same
theorem get_set_of_ne {v : Vector α n} {i j : Fin n} (h : i ≠ j) (a : α) :
(v.set i a).get j = v.get j := by
cases v; cases i; cases j
simp only [set, get_eq_get, toList_mk, Fin.cast_mk, ne_eq]
rw [List.get_set_of_ne]
· simpa using h
#align vector.nth_update_nth_of_ne Vector.get_set_of_ne
theorem get_set_eq_if {v : Vector α n} {i j : Fin n} (a : α) :
(v.set i a).get j = if i = j then a else v.get j := by
split_ifs <;> (try simp [*]); rwa [get_set_of_ne]
#align vector.nth_update_nth_eq_if Vector.get_set_eq_if
@[to_additive]
theorem prod_set [Monoid α] (v : Vector α n) (i : Fin n) (a : α) :
(v.set i a).toList.prod = (v.take i).toList.prod * a * (v.drop (i + 1)).toList.prod := by
refine (List.prod_set v.toList i a).trans ?_
simp_all
#align vector.prod_update_nth Vector.prod_set
@[to_additive]
| Mathlib/Data/Vector/Basic.lean | 658 | 661 | theorem prod_set' [CommGroup α] (v : Vector α n) (i : Fin n) (a : α) :
(v.set i a).toList.prod = v.toList.prod * (v.get i)⁻¹ * a := by |
refine (List.prod_set' v.toList i a).trans ?_
simp [get_eq_get, mul_assoc]; rfl
|
import Mathlib.Init.Function
import Mathlib.Init.Order.Defs
#align_import data.bool.basic from "leanprover-community/mathlib"@"c4658a649d216f57e99621708b09dcb3dcccbd23"
namespace Bool
@[deprecated (since := "2024-06-07")] alias decide_True := decide_true_eq_true
#align bool.to_bool_true decide_true_eq_true
@[deprecated (since := "2024-06-07")] alias decide_False := decide_false_eq_false
#align bool.to_bool_false decide_false_eq_false
#align bool.to_bool_coe Bool.decide_coe
@[deprecated (since := "2024-06-07")] alias coe_decide := decide_eq_true_iff
#align bool.coe_to_bool decide_eq_true_iff
@[deprecated decide_eq_true_iff (since := "2024-06-07")]
alias of_decide_iff := decide_eq_true_iff
#align bool.of_to_bool_iff decide_eq_true_iff
#align bool.tt_eq_to_bool_iff true_eq_decide_iff
#align bool.ff_eq_to_bool_iff false_eq_decide_iff
@[deprecated (since := "2024-06-07")] alias decide_not := decide_not
#align bool.to_bool_not decide_not
#align bool.to_bool_and Bool.decide_and
#align bool.to_bool_or Bool.decide_or
#align bool.to_bool_eq decide_eq_decide
@[deprecated (since := "2024-06-07")] alias not_false' := false_ne_true
#align bool.not_ff Bool.false_ne_true
@[deprecated (since := "2024-06-07")] alias eq_iff_eq_true_iff := eq_iff_iff
#align bool.default_bool Bool.default_bool
theorem dichotomy (b : Bool) : b = false ∨ b = true := by cases b <;> simp
#align bool.dichotomy Bool.dichotomy
theorem forall_bool' {p : Bool → Prop} (b : Bool) : (∀ x, p x) ↔ p b ∧ p !b :=
⟨fun h ↦ ⟨h _, h _⟩, fun ⟨h₁, h₂⟩ x ↦ by cases b <;> cases x <;> assumption⟩
@[simp]
theorem forall_bool {p : Bool → Prop} : (∀ b, p b) ↔ p false ∧ p true :=
forall_bool' false
#align bool.forall_bool Bool.forall_bool
theorem exists_bool' {p : Bool → Prop} (b : Bool) : (∃ x, p x) ↔ p b ∨ p !b :=
⟨fun ⟨x, hx⟩ ↦ by cases x <;> cases b <;> first | exact .inl ‹_› | exact .inr ‹_›,
fun h ↦ by cases h <;> exact ⟨_, ‹_›⟩⟩
@[simp]
theorem exists_bool {p : Bool → Prop} : (∃ b, p b) ↔ p false ∨ p true :=
exists_bool' false
#align bool.exists_bool Bool.exists_bool
#align bool.decidable_forall_bool Bool.instDecidableForallOfDecidablePred
#align bool.decidable_exists_bool Bool.instDecidableExistsOfDecidablePred
#align bool.cond_eq_ite Bool.cond_eq_ite
#align bool.cond_to_bool Bool.cond_decide
#align bool.cond_bnot Bool.cond_not
theorem not_ne_id : not ≠ id := fun h ↦ false_ne_true <| congrFun h true
#align bool.bnot_ne_id Bool.not_ne_id
#align bool.coe_bool_iff Bool.coe_iff_coe
@[deprecated (since := "2024-06-07")] alias eq_true_of_ne_false := eq_true_of_ne_false
#align bool.eq_tt_of_ne_ff eq_true_of_ne_false
@[deprecated (since := "2024-06-07")] alias eq_false_of_ne_true := eq_false_of_ne_true
#align bool.eq_ff_of_ne_tt eq_true_of_ne_false
#align bool.bor_comm Bool.or_comm
#align bool.bor_assoc Bool.or_assoc
#align bool.bor_left_comm Bool.or_left_comm
theorem or_inl {a b : Bool} (H : a) : a || b := by simp [H]
#align bool.bor_inl Bool.or_inl
theorem or_inr {a b : Bool} (H : b) : a || b := by cases a <;> simp [H]
#align bool.bor_inr Bool.or_inr
#align bool.band_comm Bool.and_comm
#align bool.band_assoc Bool.and_assoc
#align bool.band_left_comm Bool.and_left_comm
theorem and_elim_left : ∀ {a b : Bool}, a && b → a := by decide
#align bool.band_elim_left Bool.and_elim_left
theorem and_intro : ∀ {a b : Bool}, a → b → a && b := by decide
#align bool.band_intro Bool.and_intro
theorem and_elim_right : ∀ {a b : Bool}, a && b → b := by decide
#align bool.band_elim_right Bool.and_elim_right
#align bool.band_bor_distrib_left Bool.and_or_distrib_left
#align bool.band_bor_distrib_right Bool.and_or_distrib_right
#align bool.bor_band_distrib_left Bool.or_and_distrib_left
#align bool.bor_band_distrib_right Bool.or_and_distrib_right
#align bool.bnot_ff Bool.not_false
#align bool.bnot_tt Bool.not_true
lemma eq_not_iff : ∀ {a b : Bool}, a = !b ↔ a ≠ b := by decide
#align bool.eq_bnot_iff Bool.eq_not_iff
lemma not_eq_iff : ∀ {a b : Bool}, !a = b ↔ a ≠ b := by decide
#align bool.bnot_eq_iff Bool.not_eq_iff
#align bool.not_eq_bnot Bool.not_eq_not
#align bool.bnot_not_eq Bool.not_not_eq
theorem ne_not {a b : Bool} : a ≠ !b ↔ a = b :=
not_eq_not
#align bool.ne_bnot Bool.ne_not
@[deprecated (since := "2024-06-07")] alias not_ne := not_not_eq
#align bool.bnot_ne Bool.not_not_eq
lemma not_ne_self : ∀ b : Bool, (!b) ≠ b := by decide
#align bool.bnot_ne_self Bool.not_ne_self
lemma self_ne_not : ∀ b : Bool, b ≠ !b := by decide
#align bool.self_ne_bnot Bool.self_ne_not
lemma eq_or_eq_not : ∀ a b, a = b ∨ a = !b := by decide
#align bool.eq_or_eq_bnot Bool.eq_or_eq_not
-- Porting note: naming issue again: these two `not` are different.
theorem not_iff_not : ∀ {b : Bool}, !b ↔ ¬b := by simp
#align bool.bnot_iff_not Bool.not_iff_not
theorem eq_true_of_not_eq_false' {a : Bool} : !a = false → a = true := by
cases a <;> decide
#align bool.eq_tt_of_bnot_eq_ff Bool.eq_true_of_not_eq_false'
theorem eq_false_of_not_eq_true' {a : Bool} : !a = true → a = false := by
cases a <;> decide
#align bool.eq_ff_of_bnot_eq_tt Bool.eq_false_of_not_eq_true'
#align bool.band_bnot_self Bool.and_not_self
#align bool.bnot_band_self Bool.not_and_self
#align bool.bor_bnot_self Bool.or_not_self
#align bool.bnot_bor_self Bool.not_or_self
theorem bne_eq_xor : bne = xor := by funext a b; revert a b; decide
#align bool.bxor_comm Bool.xor_comm
attribute [simp] xor_assoc
#align bool.bxor_assoc Bool.xor_assoc
#align bool.bxor_left_comm Bool.xor_left_comm
#align bool.bxor_bnot_left Bool.not_xor
#align bool.bxor_bnot_right Bool.xor_not
#align bool.bxor_bnot_bnot Bool.not_xor_not
#align bool.bxor_ff_left Bool.false_xor
#align bool.bxor_ff_right Bool.xor_false
#align bool.band_bxor_distrib_left Bool.and_xor_distrib_left
#align bool.band_bxor_distrib_right Bool.and_xor_distrib_right
theorem xor_iff_ne : ∀ {x y : Bool}, xor x y = true ↔ x ≠ y := by decide
#align bool.bxor_iff_ne Bool.xor_iff_ne
#align bool.bnot_band Bool.not_and
#align bool.bnot_bor Bool.not_or
#align bool.bnot_inj Bool.not_inj
instance linearOrder : LinearOrder Bool where
le_refl := by decide
le_trans := by decide
le_antisymm := by decide
le_total := by decide
decidableLE := inferInstance
decidableEq := inferInstance
decidableLT := inferInstance
lt_iff_le_not_le := by decide
max_def := by decide
min_def := by decide
#align bool.linear_order Bool.linearOrder
#align bool.ff_le Bool.false_le
#align bool.le_tt Bool.le_true
theorem lt_iff : ∀ {x y : Bool}, x < y ↔ x = false ∧ y = true := by decide
#align bool.lt_iff Bool.lt_iff
@[simp]
theorem false_lt_true : false < true :=
lt_iff.2 ⟨rfl, rfl⟩
#align bool.ff_lt_tt Bool.false_lt_true
theorem le_iff_imp : ∀ {x y : Bool}, x ≤ y ↔ x → y := by decide
#align bool.le_iff_imp Bool.le_iff_imp
theorem and_le_left : ∀ x y : Bool, (x && y) ≤ x := by decide
#align bool.band_le_left Bool.and_le_left
theorem and_le_right : ∀ x y : Bool, (x && y) ≤ y := by decide
#align bool.band_le_right Bool.and_le_right
theorem le_and : ∀ {x y z : Bool}, x ≤ y → x ≤ z → x ≤ (y && z) := by decide
#align bool.le_band Bool.le_and
theorem left_le_or : ∀ x y : Bool, x ≤ (x || y) := by decide
#align bool.left_le_bor Bool.left_le_or
theorem right_le_or : ∀ x y : Bool, y ≤ (x || y) := by decide
#align bool.right_le_bor Bool.right_le_or
theorem or_le : ∀ {x y z}, x ≤ z → y ≤ z → (x || y) ≤ z := by decide
#align bool.bor_le Bool.or_le
#align bool.to_nat Bool.toNat
def ofNat (n : Nat) : Bool :=
decide (n ≠ 0)
#align bool.of_nat Bool.ofNat
@[simp] lemma toNat_beq_zero (b : Bool) : (b.toNat == 0) = !b := by cases b <;> rfl
@[simp] lemma toNat_bne_zero (b : Bool) : (b.toNat != 0) = b := by simp [bne]
@[simp] lemma toNat_beq_one (b : Bool) : (b.toNat == 1) = b := by cases b <;> rfl
@[simp] lemma toNat_bne_one (b : Bool) : (b.toNat != 1) = !b := by simp [bne]
| Mathlib/Data/Bool/Basic.lean | 251 | 258 | theorem ofNat_le_ofNat {n m : Nat} (h : n ≤ m) : ofNat n ≤ ofNat m := by |
simp only [ofNat, ne_eq, _root_.decide_not]
cases Nat.decEq n 0 with
| isTrue hn => rw [_root_.decide_eq_true hn]; exact Bool.false_le _
| isFalse hn =>
cases Nat.decEq m 0 with
| isFalse hm => rw [_root_.decide_eq_false hm]; exact Bool.le_true _
| isTrue hm => subst hm; have h := Nat.le_antisymm h (Nat.zero_le n); contradiction
|
import Mathlib.Data.Stream.Defs
import Mathlib.Logic.Function.Basic
import Mathlib.Init.Data.List.Basic
import Mathlib.Data.List.Basic
#align_import data.stream.init from "leanprover-community/mathlib"@"207cfac9fcd06138865b5d04f7091e46d9320432"
set_option autoImplicit true
open Nat Function Option
namespace Stream'
variable {α : Type u} {β : Type v} {δ : Type w}
instance [Inhabited α] : Inhabited (Stream' α) :=
⟨Stream'.const default⟩
protected theorem eta (s : Stream' α) : (head s::tail s) = s :=
funext fun i => by cases i <;> rfl
#align stream.eta Stream'.eta
@[ext]
protected theorem ext {s₁ s₂ : Stream' α} : (∀ n, get s₁ n = get s₂ n) → s₁ = s₂ :=
fun h => funext h
#align stream.ext Stream'.ext
@[simp]
theorem get_zero_cons (a : α) (s : Stream' α) : get (a::s) 0 = a :=
rfl
#align stream.nth_zero_cons Stream'.get_zero_cons
@[simp]
theorem head_cons (a : α) (s : Stream' α) : head (a::s) = a :=
rfl
#align stream.head_cons Stream'.head_cons
@[simp]
theorem tail_cons (a : α) (s : Stream' α) : tail (a::s) = s :=
rfl
#align stream.tail_cons Stream'.tail_cons
@[simp]
theorem get_drop (n m : Nat) (s : Stream' α) : get (drop m s) n = get s (n + m) :=
rfl
#align stream.nth_drop Stream'.get_drop
theorem tail_eq_drop (s : Stream' α) : tail s = drop 1 s :=
rfl
#align stream.tail_eq_drop Stream'.tail_eq_drop
@[simp]
theorem drop_drop (n m : Nat) (s : Stream' α) : drop n (drop m s) = drop (n + m) s := by
ext; simp [Nat.add_assoc]
#align stream.drop_drop Stream'.drop_drop
@[simp] theorem get_tail {s : Stream' α} : s.tail.get n = s.get (n + 1) := rfl
@[simp] theorem tail_drop' {s : Stream' α} : tail (drop i s) = s.drop (i+1) := by
ext; simp [Nat.add_comm, Nat.add_assoc, Nat.add_left_comm]
@[simp] theorem drop_tail' {s : Stream' α} : drop i (tail s) = s.drop (i+1) := rfl
| Mathlib/Data/Stream/Init.lean | 76 | 76 | theorem tail_drop (n : Nat) (s : Stream' α) : tail (drop n s) = drop n (tail s) := by | simp
|
import Mathlib.Data.Nat.Choose.Basic
import Mathlib.Data.Nat.GCD.Basic
import Mathlib.Tactic.Ring
import Mathlib.Tactic.Linarith
#align_import data.nat.choose.central from "leanprover-community/mathlib"@"0a0ec35061ed9960bf0e7ffb0335f44447b58977"
namespace Nat
def centralBinom (n : ℕ) :=
(2 * n).choose n
#align nat.central_binom Nat.centralBinom
theorem centralBinom_eq_two_mul_choose (n : ℕ) : centralBinom n = (2 * n).choose n :=
rfl
#align nat.central_binom_eq_two_mul_choose Nat.centralBinom_eq_two_mul_choose
theorem centralBinom_pos (n : ℕ) : 0 < centralBinom n :=
choose_pos (Nat.le_mul_of_pos_left _ zero_lt_two)
#align nat.central_binom_pos Nat.centralBinom_pos
theorem centralBinom_ne_zero (n : ℕ) : centralBinom n ≠ 0 :=
(centralBinom_pos n).ne'
#align nat.central_binom_ne_zero Nat.centralBinom_ne_zero
@[simp]
theorem centralBinom_zero : centralBinom 0 = 1 :=
choose_zero_right _
#align nat.central_binom_zero Nat.centralBinom_zero
| Mathlib/Data/Nat/Choose/Central.lean | 57 | 60 | theorem choose_le_centralBinom (r n : ℕ) : choose (2 * n) r ≤ centralBinom n :=
calc
(2 * n).choose r ≤ (2 * n).choose (2 * n / 2) := choose_le_middle r (2 * n)
_ = (2 * n).choose n := by | rw [Nat.mul_div_cancel_left n zero_lt_two]
|
import Mathlib.RingTheory.IntegrallyClosed
import Mathlib.RingTheory.Trace
import Mathlib.RingTheory.Norm
#align_import ring_theory.discriminant from "leanprover-community/mathlib"@"3e068ece210655b7b9a9477c3aff38a492400aa1"
universe u v w z
open scoped Matrix
open Matrix FiniteDimensional Fintype Polynomial Finset IntermediateField
namespace Algebra
variable (A : Type u) {B : Type v} (C : Type z) {ι : Type w} [DecidableEq ι]
variable [CommRing A] [CommRing B] [Algebra A B] [CommRing C] [Algebra A C]
section Discr
-- Porting note: using `[DecidableEq ι]` instead of `by classical...` did not work in
-- mathlib3.
noncomputable def discr (A : Type u) {B : Type v} [CommRing A] [CommRing B] [Algebra A B]
[Fintype ι] (b : ι → B) := (traceMatrix A b).det
#align algebra.discr Algebra.discr
theorem discr_def [Fintype ι] (b : ι → B) : discr A b = (traceMatrix A b).det := rfl
variable {A C} in
theorem discr_eq_discr_of_algEquiv [Fintype ι] (b : ι → B) (f : B ≃ₐ[A] C) :
Algebra.discr A b = Algebra.discr A (f ∘ b) := by
rw [discr_def]; congr; ext
simp_rw [traceMatrix_apply, traceForm_apply, Function.comp, ← map_mul f, trace_eq_of_algEquiv]
#align algebra.discr_def Algebra.discr_def
variable {ι' : Type*} [Fintype ι'] [Fintype ι] [DecidableEq ι']
section Basic
@[simp]
theorem discr_reindex (b : Basis ι A B) (f : ι ≃ ι') : discr A (b ∘ ⇑f.symm) = discr A b := by
classical rw [← Basis.coe_reindex, discr_def, traceMatrix_reindex, det_reindex_self, ← discr_def]
#align algebra.discr_reindex Algebra.discr_reindex
theorem discr_zero_of_not_linearIndependent [IsDomain A] {b : ι → B}
(hli : ¬LinearIndependent A b) : discr A b = 0 := by
classical
obtain ⟨g, hg, i, hi⟩ := Fintype.not_linearIndependent_iff.1 hli
have : (traceMatrix A b) *ᵥ g = 0 := by
ext i
have : ∀ j, (trace A B) (b i * b j) * g j = (trace A B) (g j • b j * b i) := by
intro j;
simp [mul_comm]
simp only [mulVec, dotProduct, traceMatrix_apply, Pi.zero_apply, traceForm_apply, fun j =>
this j, ← map_sum, ← sum_mul, hg, zero_mul, LinearMap.map_zero]
by_contra h
rw [discr_def] at h
simp [Matrix.eq_zero_of_mulVec_eq_zero h this] at hi
#align algebra.discr_zero_of_not_linear_independent Algebra.discr_zero_of_not_linearIndependent
variable {A}
theorem discr_of_matrix_vecMul (b : ι → B) (P : Matrix ι ι A) :
discr A (b ᵥ* P.map (algebraMap A B)) = P.det ^ 2 * discr A b := by
rw [discr_def, traceMatrix_of_matrix_vecMul, det_mul, det_mul, det_transpose, mul_comm, ←
mul_assoc, discr_def, pow_two]
#align algebra.discr_of_matrix_vec_mul Algebra.discr_of_matrix_vecMul
| Mathlib/RingTheory/Discriminant.lean | 121 | 124 | theorem discr_of_matrix_mulVec (b : ι → B) (P : Matrix ι ι A) :
discr A (P.map (algebraMap A B) *ᵥ b) = P.det ^ 2 * discr A b := by |
rw [discr_def, traceMatrix_of_matrix_mulVec, det_mul, det_mul, det_transpose, mul_comm, ←
mul_assoc, discr_def, pow_two]
|
import Mathlib.Algebra.MvPolynomial.Variables
#align_import data.mv_polynomial.comm_ring from "leanprover-community/mathlib"@"2f5b500a507264de86d666a5f87ddb976e2d8de4"
noncomputable section
open Set Function Finsupp AddMonoidAlgebra
universe u v
variable {R : Type u} {S : Type v}
namespace MvPolynomial
variable {σ : Type*} {a a' a₁ a₂ : R} {e : ℕ} {n m : σ} {s : σ →₀ ℕ}
section CommRing
variable [CommRing R]
variable {p q : MvPolynomial σ R}
instance instCommRingMvPolynomial : CommRing (MvPolynomial σ R) :=
AddMonoidAlgebra.commRing
variable (σ a a')
-- @[simp] -- Porting note (#10618): simp can prove this
theorem C_sub : (C (a - a') : MvPolynomial σ R) = C a - C a' :=
RingHom.map_sub _ _ _
set_option linter.uppercaseLean3 false in
#align mv_polynomial.C_sub MvPolynomial.C_sub
-- @[simp] -- Porting note (#10618): simp can prove this
theorem C_neg : (C (-a) : MvPolynomial σ R) = -C a :=
RingHom.map_neg _ _
set_option linter.uppercaseLean3 false in
#align mv_polynomial.C_neg MvPolynomial.C_neg
@[simp]
theorem coeff_neg (m : σ →₀ ℕ) (p : MvPolynomial σ R) : coeff m (-p) = -coeff m p :=
Finsupp.neg_apply _ _
#align mv_polynomial.coeff_neg MvPolynomial.coeff_neg
@[simp]
theorem coeff_sub (m : σ →₀ ℕ) (p q : MvPolynomial σ R) : coeff m (p - q) = coeff m p - coeff m q :=
Finsupp.sub_apply _ _ _
#align mv_polynomial.coeff_sub MvPolynomial.coeff_sub
@[simp]
theorem support_neg : (-p).support = p.support :=
Finsupp.support_neg p
#align mv_polynomial.support_neg MvPolynomial.support_neg
theorem support_sub [DecidableEq σ] (p q : MvPolynomial σ R) :
(p - q).support ⊆ p.support ∪ q.support :=
Finsupp.support_sub
#align mv_polynomial.support_sub MvPolynomial.support_sub
variable {σ} (p)
section Eval
variable [CommRing S]
variable (f : R →+* S) (g : σ → S)
@[simp]
theorem eval₂_sub : (p - q).eval₂ f g = p.eval₂ f g - q.eval₂ f g :=
(eval₂Hom f g).map_sub _ _
#align mv_polynomial.eval₂_sub MvPolynomial.eval₂_sub
theorem eval_sub (f : σ → R) : eval f (p - q) = eval f p - eval f q :=
eval₂_sub _ _ _
@[simp]
theorem eval₂_neg : (-p).eval₂ f g = -p.eval₂ f g :=
(eval₂Hom f g).map_neg _
#align mv_polynomial.eval₂_neg MvPolynomial.eval₂_neg
theorem eval_neg (f : σ → R) : eval f (-p) = -eval f p :=
eval₂_neg _ _ _
theorem hom_C (f : MvPolynomial σ ℤ →+* S) (n : ℤ) : f (C n) = (n : S) :=
eq_intCast (f.comp C) n
set_option linter.uppercaseLean3 false in
#align mv_polynomial.hom_C MvPolynomial.hom_C
@[simp]
| Mathlib/Algebra/MvPolynomial/CommRing.lean | 155 | 166 | theorem eval₂Hom_X {R : Type u} (c : ℤ →+* S) (f : MvPolynomial R ℤ →+* S) (x : MvPolynomial R ℤ) :
eval₂ c (f ∘ X) x = f x := by |
apply MvPolynomial.induction_on x
(fun n => by
rw [hom_C f, eval₂_C]
exact eq_intCast c n)
(fun p q hp hq => by
rw [eval₂_add, hp, hq]
exact (f.map_add _ _).symm)
(fun p n hp => by
rw [eval₂_mul, eval₂_X, hp]
exact (f.map_mul _ _).symm)
|
import Mathlib.Data.Int.Cast.Lemmas
import Mathlib.Tactic.NormNum.Basic
set_option autoImplicit true
namespace Mathlib
open Lean hiding Rat mkRat
open Meta
namespace Meta.NormNum
open Qq
theorem natPow_zero : Nat.pow a (nat_lit 0) = nat_lit 1 := rfl
theorem natPow_one : Nat.pow a (nat_lit 1) = a := Nat.pow_one _
theorem zero_natPow : Nat.pow (nat_lit 0) (Nat.succ b) = nat_lit 0 := rfl
theorem one_natPow : Nat.pow (nat_lit 1) b = nat_lit 1 := Nat.one_pow _
structure IsNatPowT (p : Prop) (a b c : Nat) : Prop where
run' : p → Nat.pow a b = c
theorem IsNatPowT.run
(p : IsNatPowT (Nat.pow a (nat_lit 1) = a) a b c) : Nat.pow a b = c := p.run' (Nat.pow_one _)
theorem IsNatPowT.trans (h1 : IsNatPowT p a b c) (h2 : IsNatPowT (Nat.pow a b = c) a b' c') :
IsNatPowT p a b' c' := ⟨h2.run' ∘ h1.run'⟩
theorem IsNatPowT.bit0 : IsNatPowT (Nat.pow a b = c) a (nat_lit 2 * b) (Nat.mul c c) :=
⟨fun h1 => by simp [two_mul, pow_add, ← h1]⟩
theorem IsNatPowT.bit1 :
IsNatPowT (Nat.pow a b = c) a (nat_lit 2 * b + nat_lit 1) (Nat.mul c (Nat.mul c a)) :=
⟨fun h1 => by simp [two_mul, pow_add, mul_assoc, ← h1]⟩
partial def evalNatPow (a b : Q(ℕ)) : (c : Q(ℕ)) × Q(Nat.pow $a $b = $c) :=
if b.natLit! = 0 then
haveI : $b =Q 0 := ⟨⟩
⟨q(nat_lit 1), q(natPow_zero)⟩
else if a.natLit! = 0 then
haveI : $a =Q 0 := ⟨⟩
have b' : Q(ℕ) := mkRawNatLit (b.natLit! - 1)
haveI : $b =Q Nat.succ $b' := ⟨⟩
⟨q(nat_lit 0), q(zero_natPow)⟩
else if a.natLit! = 1 then
haveI : $a =Q 1 := ⟨⟩
⟨q(nat_lit 1), q(one_natPow)⟩
else if b.natLit! = 1 then
haveI : $b =Q 1 := ⟨⟩
⟨a, q(natPow_one)⟩
else
let ⟨c, p⟩ := go b.natLit!.log2 a (mkRawNatLit 1) a b _ .rfl
⟨c, q(($p).run)⟩
where
go (depth : Nat) (a b₀ c₀ b : Q(ℕ)) (p : Q(Prop)) (hp : $p =Q (Nat.pow $a $b₀ = $c₀)) :
(c : Q(ℕ)) × Q(IsNatPowT $p $a $b $c) :=
let b' := b.natLit!
if depth ≤ 1 then
let a' := a.natLit!
let c₀' := c₀.natLit!
if b' &&& 1 == 0 then
have c : Q(ℕ) := mkRawNatLit (c₀' * c₀')
haveI : $c =Q Nat.mul $c₀ $c₀ := ⟨⟩
haveI : $b =Q 2 * $b₀ := ⟨⟩
⟨c, q(IsNatPowT.bit0)⟩
else
have c : Q(ℕ) := mkRawNatLit (c₀' * (c₀' * a'))
haveI : $c =Q Nat.mul $c₀ (Nat.mul $c₀ $a) := ⟨⟩
haveI : $b =Q 2 * $b₀ + 1 := ⟨⟩
⟨c, q(IsNatPowT.bit1)⟩
else
let d := depth >>> 1
have hi : Q(ℕ) := mkRawNatLit (b' >>> d)
let ⟨c1, p1⟩ := go (depth - d) a b₀ c₀ hi p (by exact hp)
let ⟨c2, p2⟩ := go d a hi c1 b q(Nat.pow $a $hi = $c1) ⟨⟩
⟨c2, q(($p1).trans $p2)⟩
theorem intPow_ofNat (h1 : Nat.pow a b = c) :
Int.pow (Int.ofNat a) b = Int.ofNat c := by simp [← h1]
theorem intPow_negOfNat_bit0 (h1 : Nat.pow a b' = c')
(hb : nat_lit 2 * b' = b) (hc : c' * c' = c) :
Int.pow (Int.negOfNat a) b = Int.ofNat c := by
rw [← hb, Int.negOfNat_eq, Int.pow_eq, pow_mul, neg_pow_two, ← pow_mul, two_mul, pow_add, ← hc,
← h1]
simp
theorem intPow_negOfNat_bit1 (h1 : Nat.pow a b' = c')
(hb : nat_lit 2 * b' + nat_lit 1 = b) (hc : c' * (c' * a) = c) :
Int.pow (Int.negOfNat a) b = Int.negOfNat c := by
rw [← hb, Int.negOfNat_eq, Int.negOfNat_eq, Int.pow_eq, pow_succ, pow_mul, neg_pow_two, ← pow_mul,
two_mul, pow_add, ← hc, ← h1]
simp [mul_assoc, mul_comm, mul_left_comm]
partial def evalIntPow (za : ℤ) (a : Q(ℤ)) (b : Q(ℕ)) : ℤ × (c : Q(ℤ)) × Q(Int.pow $a $b = $c) :=
have a' : Q(ℕ) := a.appArg!
if 0 ≤ za then
haveI : $a =Q .ofNat $a' := ⟨⟩
let ⟨c, p⟩ := evalNatPow a' b
⟨c.natLit!, q(.ofNat $c), q(intPow_ofNat $p)⟩
else
haveI : $a =Q .negOfNat $a' := ⟨⟩
let b' := b.natLit!
have b₀ : Q(ℕ) := mkRawNatLit (b' >>> 1)
let ⟨c₀, p⟩ := evalNatPow a' b₀
let c' := c₀.natLit!
if b' &&& 1 == 0 then
have c : Q(ℕ) := mkRawNatLit (c' * c')
have pc : Q($c₀ * $c₀ = $c) := (q(Eq.refl $c) : Expr)
have pb : Q(2 * $b₀ = $b) := (q(Eq.refl $b) : Expr)
⟨c.natLit!, q(.ofNat $c), q(intPow_negOfNat_bit0 $p $pb $pc)⟩
else
have c : Q(ℕ) := mkRawNatLit (c' * (c' * a'.natLit!))
have pc : Q($c₀ * ($c₀ * $a') = $c) := (q(Eq.refl $c) : Expr)
have pb : Q(2 * $b₀ + 1 = $b) := (q(Eq.refl $b) : Expr)
⟨-c.natLit!, q(.negOfNat $c), q(intPow_negOfNat_bit1 $p $pb $pc)⟩
-- see note [norm_num lemma function equality]
theorem isNat_pow {α} [Semiring α] : ∀ {f : α → ℕ → α} {a : α} {b a' b' c : ℕ},
f = HPow.hPow → IsNat a a' → IsNat b b' → Nat.pow a' b' = c → IsNat (f a b) c
| _, _, _, _, _, _, rfl, ⟨rfl⟩, ⟨rfl⟩, rfl => ⟨by simp⟩
-- see note [norm_num lemma function equality]
theorem isInt_pow {α} [Ring α] : ∀ {f : α → ℕ → α} {a : α} {b : ℕ} {a' : ℤ} {b' : ℕ} {c : ℤ},
f = HPow.hPow → IsInt a a' → IsNat b b' → Int.pow a' b' = c → IsInt (f a b) c
| _, _, _, _, _, _, rfl, ⟨rfl⟩, ⟨rfl⟩, rfl => ⟨by simp⟩
-- see note [norm_num lemma function equality]
theorem isRat_pow {α} [Ring α] {f : α → ℕ → α} {a : α} {an cn : ℤ} {ad b b' cd : ℕ} :
f = HPow.hPow → IsRat a an ad → IsNat b b' →
Int.pow an b' = cn → Nat.pow ad b' = cd →
IsRat (f a b) cn cd := by
rintro rfl ⟨_, rfl⟩ ⟨rfl⟩ (rfl : an ^ b = _) (rfl : ad ^ b = _)
have := invertiblePow (ad:α) b
rw [← Nat.cast_pow] at this
use this; simp [invOf_pow, Commute.mul_pow]
@[norm_num (_ : α) ^ (_ : ℕ)]
def evalPow : NormNumExt where eval {u α} e := do
let .app (.app (f : Q($α → ℕ → $α)) (a : Q($α))) (b : Q(ℕ)) ← whnfR e | failure
let ⟨nb, pb⟩ ← deriveNat b q(instAddMonoidWithOneNat)
let sα ← inferSemiring α
let ra ← derive a
guard <|← withDefault <| withNewMCtxDepth <| isDefEq f q(HPow.hPow (α := $α))
haveI' : $e =Q $a ^ $b := ⟨⟩
haveI' : $f =Q HPow.hPow := ⟨⟩
let rec
core : Option (Result e) := do
match ra with
| .isBool .. => failure
| .isNat sα na pa =>
assumeInstancesCommute
have ⟨c, r⟩ := evalNatPow na nb
return .isNat sα c q(isNat_pow (f := $f) (.refl $f) $pa $pb $r)
| .isNegNat rα .. =>
assumeInstancesCommute
let ⟨za, na, pa⟩ ← ra.toInt rα
have ⟨zc, c, r⟩ := evalIntPow za na nb
return .isInt rα c zc q(isInt_pow (f := $f) (.refl $f) $pa $pb $r)
| .isRat dα qa na da pa =>
assumeInstancesCommute
have ⟨zc, nc, r1⟩ := evalIntPow qa.num na nb
have ⟨dc, r2⟩ := evalNatPow da nb
let qc := mkRat zc dc.natLit!
return .isRat' dα qc nc dc q(isRat_pow (f := $f) (.refl $f) $pa $pb $r1 $r2)
core
| Mathlib/Tactic/NormNum/Pow.lean | 196 | 199 | theorem isNat_zpow_pos {α : Type*} [DivisionSemiring α] {a : α} {b : ℤ} {nb ne : ℕ}
(pb : IsNat b nb) (pe' : IsNat (a ^ nb) ne) :
IsNat (a ^ b) ne := by |
rwa [pb.out, zpow_natCast]
|
import Mathlib.Analysis.Analytic.Constructions
import Mathlib.Analysis.Calculus.Dslope
import Mathlib.Analysis.Calculus.FDeriv.Analytic
import Mathlib.Analysis.Analytic.Uniqueness
#align_import analysis.analytic.isolated_zeros from "leanprover-community/mathlib"@"a3209ddf94136d36e5e5c624b10b2a347cc9d090"
open scoped Classical
open Filter Function Nat FormalMultilinearSeries EMetric Set
open scoped Topology
variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*} [NormedAddCommGroup E]
[NormedSpace 𝕜 E] {s : E} {p q : FormalMultilinearSeries 𝕜 𝕜 E} {f g : 𝕜 → E} {n : ℕ} {z z₀ : 𝕜}
namespace HasSum
variable {a : ℕ → E}
theorem hasSum_at_zero (a : ℕ → E) : HasSum (fun n => (0 : 𝕜) ^ n • a n) (a 0) := by
convert hasSum_single (α := E) 0 fun b h ↦ _ <;> simp [*]
#align has_sum.has_sum_at_zero HasSum.hasSum_at_zero
| Mathlib/Analysis/Analytic/IsolatedZeros.lean | 48 | 62 | theorem exists_hasSum_smul_of_apply_eq_zero (hs : HasSum (fun m => z ^ m • a m) s)
(ha : ∀ k < n, a k = 0) : ∃ t : E, z ^ n • t = s ∧ HasSum (fun m => z ^ m • a (m + n)) t := by |
obtain rfl | hn := n.eq_zero_or_pos
· simpa
by_cases h : z = 0
· have : s = 0 := hs.unique (by simpa [ha 0 hn, h] using hasSum_at_zero a)
exact ⟨a n, by simp [h, hn.ne', this], by simpa [h] using hasSum_at_zero fun m => a (m + n)⟩
· refine ⟨(z ^ n)⁻¹ • s, by field_simp [smul_smul], ?_⟩
have h1 : ∑ i ∈ Finset.range n, z ^ i • a i = 0 :=
Finset.sum_eq_zero fun k hk => by simp [ha k (Finset.mem_range.mp hk)]
have h2 : HasSum (fun m => z ^ (m + n) • a (m + n)) s := by
simpa [h1] using (hasSum_nat_add_iff' n).mpr hs
convert h2.const_smul (z⁻¹ ^ n) using 1
· field_simp [pow_add, smul_smul]
· simp only [inv_pow]
|
import Mathlib.Order.RelClasses
import Mathlib.Order.Interval.Set.Basic
#align_import order.bounded from "leanprover-community/mathlib"@"aba57d4d3dae35460225919dcd82fe91355162f9"
namespace Set
variable {α : Type*} {r : α → α → Prop} {s t : Set α}
theorem Bounded.mono (hst : s ⊆ t) (hs : Bounded r t) : Bounded r s :=
hs.imp fun _ ha b hb => ha b (hst hb)
#align set.bounded.mono Set.Bounded.mono
theorem Unbounded.mono (hst : s ⊆ t) (hs : Unbounded r s) : Unbounded r t := fun a =>
let ⟨b, hb, hb'⟩ := hs a
⟨b, hst hb, hb'⟩
#align set.unbounded.mono Set.Unbounded.mono
theorem unbounded_le_of_forall_exists_lt [Preorder α] (h : ∀ a, ∃ b ∈ s, a < b) :
Unbounded (· ≤ ·) s := fun a =>
let ⟨b, hb, hb'⟩ := h a
⟨b, hb, fun hba => hba.not_lt hb'⟩
#align set.unbounded_le_of_forall_exists_lt Set.unbounded_le_of_forall_exists_lt
theorem unbounded_le_iff [LinearOrder α] : Unbounded (· ≤ ·) s ↔ ∀ a, ∃ b ∈ s, a < b := by
simp only [Unbounded, not_le]
#align set.unbounded_le_iff Set.unbounded_le_iff
theorem unbounded_lt_of_forall_exists_le [Preorder α] (h : ∀ a, ∃ b ∈ s, a ≤ b) :
Unbounded (· < ·) s := fun a =>
let ⟨b, hb, hb'⟩ := h a
⟨b, hb, fun hba => hba.not_le hb'⟩
#align set.unbounded_lt_of_forall_exists_le Set.unbounded_lt_of_forall_exists_le
theorem unbounded_lt_iff [LinearOrder α] : Unbounded (· < ·) s ↔ ∀ a, ∃ b ∈ s, a ≤ b := by
simp only [Unbounded, not_lt]
#align set.unbounded_lt_iff Set.unbounded_lt_iff
theorem unbounded_ge_of_forall_exists_gt [Preorder α] (h : ∀ a, ∃ b ∈ s, b < a) :
Unbounded (· ≥ ·) s :=
@unbounded_le_of_forall_exists_lt αᵒᵈ _ _ h
#align set.unbounded_ge_of_forall_exists_gt Set.unbounded_ge_of_forall_exists_gt
theorem unbounded_ge_iff [LinearOrder α] : Unbounded (· ≥ ·) s ↔ ∀ a, ∃ b ∈ s, b < a :=
⟨fun h a =>
let ⟨b, hb, hba⟩ := h a
⟨b, hb, lt_of_not_ge hba⟩,
unbounded_ge_of_forall_exists_gt⟩
#align set.unbounded_ge_iff Set.unbounded_ge_iff
theorem unbounded_gt_of_forall_exists_ge [Preorder α] (h : ∀ a, ∃ b ∈ s, b ≤ a) :
Unbounded (· > ·) s := fun a =>
let ⟨b, hb, hb'⟩ := h a
⟨b, hb, fun hba => not_le_of_gt hba hb'⟩
#align set.unbounded_gt_of_forall_exists_ge Set.unbounded_gt_of_forall_exists_ge
theorem unbounded_gt_iff [LinearOrder α] : Unbounded (· > ·) s ↔ ∀ a, ∃ b ∈ s, b ≤ a :=
⟨fun h a =>
let ⟨b, hb, hba⟩ := h a
⟨b, hb, le_of_not_gt hba⟩,
unbounded_gt_of_forall_exists_ge⟩
#align set.unbounded_gt_iff Set.unbounded_gt_iff
theorem Bounded.rel_mono {r' : α → α → Prop} (h : Bounded r s) (hrr' : r ≤ r') : Bounded r' s :=
let ⟨a, ha⟩ := h
⟨a, fun b hb => hrr' b a (ha b hb)⟩
#align set.bounded.rel_mono Set.Bounded.rel_mono
theorem bounded_le_of_bounded_lt [Preorder α] (h : Bounded (· < ·) s) : Bounded (· ≤ ·) s :=
h.rel_mono fun _ _ => le_of_lt
#align set.bounded_le_of_bounded_lt Set.bounded_le_of_bounded_lt
theorem Unbounded.rel_mono {r' : α → α → Prop} (hr : r' ≤ r) (h : Unbounded r s) : Unbounded r' s :=
fun a =>
let ⟨b, hb, hba⟩ := h a
⟨b, hb, fun hba' => hba (hr b a hba')⟩
#align set.unbounded.rel_mono Set.Unbounded.rel_mono
theorem unbounded_lt_of_unbounded_le [Preorder α] (h : Unbounded (· ≤ ·) s) : Unbounded (· < ·) s :=
h.rel_mono fun _ _ => le_of_lt
#align set.unbounded_lt_of_unbounded_le Set.unbounded_lt_of_unbounded_le
theorem bounded_le_iff_bounded_lt [Preorder α] [NoMaxOrder α] :
Bounded (· ≤ ·) s ↔ Bounded (· < ·) s := by
refine ⟨fun h => ?_, bounded_le_of_bounded_lt⟩
cases' h with a ha
cases' exists_gt a with b hb
exact ⟨b, fun c hc => lt_of_le_of_lt (ha c hc) hb⟩
#align set.bounded_le_iff_bounded_lt Set.bounded_le_iff_bounded_lt
theorem unbounded_lt_iff_unbounded_le [Preorder α] [NoMaxOrder α] :
Unbounded (· < ·) s ↔ Unbounded (· ≤ ·) s := by
simp_rw [← not_bounded_iff, bounded_le_iff_bounded_lt]
#align set.unbounded_lt_iff_unbounded_le Set.unbounded_lt_iff_unbounded_le
theorem bounded_ge_of_bounded_gt [Preorder α] (h : Bounded (· > ·) s) : Bounded (· ≥ ·) s :=
let ⟨a, ha⟩ := h
⟨a, fun b hb => le_of_lt (ha b hb)⟩
#align set.bounded_ge_of_bounded_gt Set.bounded_ge_of_bounded_gt
theorem unbounded_gt_of_unbounded_ge [Preorder α] (h : Unbounded (· ≥ ·) s) : Unbounded (· > ·) s :=
fun a =>
let ⟨b, hb, hba⟩ := h a
⟨b, hb, fun hba' => hba (le_of_lt hba')⟩
#align set.unbounded_gt_of_unbounded_ge Set.unbounded_gt_of_unbounded_ge
theorem bounded_ge_iff_bounded_gt [Preorder α] [NoMinOrder α] :
Bounded (· ≥ ·) s ↔ Bounded (· > ·) s :=
@bounded_le_iff_bounded_lt αᵒᵈ _ _ _
#align set.bounded_ge_iff_bounded_gt Set.bounded_ge_iff_bounded_gt
theorem unbounded_gt_iff_unbounded_ge [Preorder α] [NoMinOrder α] :
Unbounded (· > ·) s ↔ Unbounded (· ≥ ·) s :=
@unbounded_lt_iff_unbounded_le αᵒᵈ _ _ _
#align set.unbounded_gt_iff_unbounded_ge Set.unbounded_gt_iff_unbounded_ge
theorem unbounded_le_univ [LE α] [NoTopOrder α] : Unbounded (· ≤ ·) (@Set.univ α) := fun a =>
let ⟨b, hb⟩ := exists_not_le a
⟨b, ⟨⟩, hb⟩
#align set.unbounded_le_univ Set.unbounded_le_univ
theorem unbounded_lt_univ [Preorder α] [NoTopOrder α] : Unbounded (· < ·) (@Set.univ α) :=
unbounded_lt_of_unbounded_le unbounded_le_univ
#align set.unbounded_lt_univ Set.unbounded_lt_univ
theorem unbounded_ge_univ [LE α] [NoBotOrder α] : Unbounded (· ≥ ·) (@Set.univ α) := fun a =>
let ⟨b, hb⟩ := exists_not_ge a
⟨b, ⟨⟩, hb⟩
#align set.unbounded_ge_univ Set.unbounded_ge_univ
theorem unbounded_gt_univ [Preorder α] [NoBotOrder α] : Unbounded (· > ·) (@Set.univ α) :=
unbounded_gt_of_unbounded_ge unbounded_ge_univ
#align set.unbounded_gt_univ Set.unbounded_gt_univ
theorem bounded_self (a : α) : Bounded r { b | r b a } :=
⟨a, fun _ => id⟩
#align set.bounded_self Set.bounded_self
theorem bounded_lt_Iio [Preorder α] (a : α) : Bounded (· < ·) (Iio a) :=
bounded_self a
#align set.bounded_lt_Iio Set.bounded_lt_Iio
theorem bounded_le_Iio [Preorder α] (a : α) : Bounded (· ≤ ·) (Iio a) :=
bounded_le_of_bounded_lt (bounded_lt_Iio a)
#align set.bounded_le_Iio Set.bounded_le_Iio
theorem bounded_le_Iic [Preorder α] (a : α) : Bounded (· ≤ ·) (Iic a) :=
bounded_self a
#align set.bounded_le_Iic Set.bounded_le_Iic
| Mathlib/Order/Bounded.lean | 188 | 189 | theorem bounded_lt_Iic [Preorder α] [NoMaxOrder α] (a : α) : Bounded (· < ·) (Iic a) := by |
simp only [← bounded_le_iff_bounded_lt, bounded_le_Iic]
|
import Mathlib.Algebra.Order.Group.Basic
import Mathlib.Algebra.Order.Ring.Abs
import Mathlib.Algebra.Order.Ring.Basic
import Mathlib.Algebra.Ring.Nat
import Mathlib.Data.ZMod.Basic
import Mathlib.GroupTheory.OrderOfElement
import Mathlib.RingTheory.Fintype
import Mathlib.Tactic.IntervalCases
#align_import number_theory.lucas_lehmer from "leanprover-community/mathlib"@"10b4e499f43088dd3bb7b5796184ad5216648ab1"
def mersenne (p : ℕ) : ℕ :=
2 ^ p - 1
#align mersenne mersenne
theorem strictMono_mersenne : StrictMono mersenne := fun m n h ↦
(Nat.sub_lt_sub_iff_right <| Nat.one_le_pow _ _ two_pos).2 <| by gcongr; norm_num1
@[simp]
theorem mersenne_lt_mersenne {p q : ℕ} : mersenne p < mersenne q ↔ p < q :=
strictMono_mersenne.lt_iff_lt
@[gcongr] protected alias ⟨_, GCongr.mersenne_lt_mersenne⟩ := mersenne_lt_mersenne
@[simp]
theorem mersenne_le_mersenne {p q : ℕ} : mersenne p ≤ mersenne q ↔ p ≤ q :=
strictMono_mersenne.le_iff_le
@[gcongr] protected alias ⟨_, GCongr.mersenne_le_mersenne⟩ := mersenne_le_mersenne
@[simp] theorem mersenne_zero : mersenne 0 = 0 := rfl
@[simp] theorem mersenne_pos {p : ℕ} : 0 < mersenne p ↔ 0 < p := mersenne_lt_mersenne (p := 0)
#align mersenne_pos mersenne_pos
@[simp]
theorem one_lt_mersenne {p : ℕ} : 1 < mersenne p ↔ 1 < p :=
mersenne_lt_mersenne (p := 1)
@[simp]
theorem succ_mersenne (k : ℕ) : mersenne k + 1 = 2 ^ k := by
rw [mersenne, tsub_add_cancel_of_le]
exact one_le_pow_of_one_le (by norm_num) k
#align succ_mersenne succ_mersenne
namespace LucasLehmer
open Nat
def s : ℕ → ℤ
| 0 => 4
| i + 1 => s i ^ 2 - 2
#align lucas_lehmer.s LucasLehmer.s
def sZMod (p : ℕ) : ℕ → ZMod (2 ^ p - 1)
| 0 => 4
| i + 1 => sZMod p i ^ 2 - 2
#align lucas_lehmer.s_zmod LucasLehmer.sZMod
def sMod (p : ℕ) : ℕ → ℤ
| 0 => 4 % (2 ^ p - 1)
| i + 1 => (sMod p i ^ 2 - 2) % (2 ^ p - 1)
#align lucas_lehmer.s_mod LucasLehmer.sMod
theorem mersenne_int_pos {p : ℕ} (hp : p ≠ 0) : (0 : ℤ) < 2 ^ p - 1 :=
sub_pos.2 <| mod_cast Nat.one_lt_two_pow hp
theorem mersenne_int_ne_zero (p : ℕ) (hp : p ≠ 0) : (2 ^ p - 1 : ℤ) ≠ 0 :=
(mersenne_int_pos hp).ne'
#align lucas_lehmer.mersenne_int_ne_zero LucasLehmer.mersenne_int_ne_zero
theorem sMod_nonneg (p : ℕ) (hp : p ≠ 0) (i : ℕ) : 0 ≤ sMod p i := by
cases i <;> dsimp [sMod]
· exact sup_eq_right.mp rfl
· apply Int.emod_nonneg
exact mersenne_int_ne_zero p hp
#align lucas_lehmer.s_mod_nonneg LucasLehmer.sMod_nonneg
theorem sMod_mod (p i : ℕ) : sMod p i % (2 ^ p - 1) = sMod p i := by cases i <;> simp [sMod]
#align lucas_lehmer.s_mod_mod LucasLehmer.sMod_mod
theorem sMod_lt (p : ℕ) (hp : p ≠ 0) (i : ℕ) : sMod p i < 2 ^ p - 1 := by
rw [← sMod_mod]
refine (Int.emod_lt _ (mersenne_int_ne_zero p hp)).trans_eq ?_
exact abs_of_nonneg (mersenne_int_pos hp).le
#align lucas_lehmer.s_mod_lt LucasLehmer.sMod_lt
theorem sZMod_eq_s (p' : ℕ) (i : ℕ) : sZMod (p' + 2) i = (s i : ZMod (2 ^ (p' + 2) - 1)) := by
induction' i with i ih
· dsimp [s, sZMod]
norm_num
· push_cast [s, sZMod, ih]; rfl
#align lucas_lehmer.s_zmod_eq_s LucasLehmer.sZMod_eq_s
-- These next two don't make good `norm_cast` lemmas.
theorem Int.natCast_pow_pred (b p : ℕ) (w : 0 < b) : ((b ^ p - 1 : ℕ) : ℤ) = (b : ℤ) ^ p - 1 := by
have : 1 ≤ b ^ p := Nat.one_le_pow p b w
norm_cast
#align lucas_lehmer.int.coe_nat_pow_pred LucasLehmer.Int.natCast_pow_pred
@[deprecated (since := "2024-05-25")] alias Int.coe_nat_pow_pred := Int.natCast_pow_pred
theorem Int.coe_nat_two_pow_pred (p : ℕ) : ((2 ^ p - 1 : ℕ) : ℤ) = (2 ^ p - 1 : ℤ) :=
Int.natCast_pow_pred 2 p (by decide)
#align lucas_lehmer.int.coe_nat_two_pow_pred LucasLehmer.Int.coe_nat_two_pow_pred
theorem sZMod_eq_sMod (p : ℕ) (i : ℕ) : sZMod p i = (sMod p i : ZMod (2 ^ p - 1)) := by
induction i <;> push_cast [← Int.coe_nat_two_pow_pred p, sMod, sZMod, *] <;> rfl
#align lucas_lehmer.s_zmod_eq_s_mod LucasLehmer.sZMod_eq_sMod
def lucasLehmerResidue (p : ℕ) : ZMod (2 ^ p - 1) :=
sZMod p (p - 2)
#align lucas_lehmer.lucas_lehmer_residue LucasLehmer.lucasLehmerResidue
theorem residue_eq_zero_iff_sMod_eq_zero (p : ℕ) (w : 1 < p) :
lucasLehmerResidue p = 0 ↔ sMod p (p - 2) = 0 := by
dsimp [lucasLehmerResidue]
rw [sZMod_eq_sMod p]
constructor
· -- We want to use that fact that `0 ≤ s_mod p (p-2) < 2^p - 1`
-- and `lucas_lehmer_residue p = 0 → 2^p - 1 ∣ s_mod p (p-2)`.
intro h
simp? [ZMod.intCast_zmod_eq_zero_iff_dvd] at h says
simp only [ZMod.intCast_zmod_eq_zero_iff_dvd, gt_iff_lt, ofNat_pos, pow_pos, cast_pred,
cast_pow, cast_ofNat] at h
apply Int.eq_zero_of_dvd_of_nonneg_of_lt _ _ h <;> clear h
· exact sMod_nonneg _ (by positivity) _
· exact sMod_lt _ (by positivity) _
· intro h
rw [h]
simp
#align lucas_lehmer.residue_eq_zero_iff_s_mod_eq_zero LucasLehmer.residue_eq_zero_iff_sMod_eq_zero
def LucasLehmerTest (p : ℕ) : Prop :=
lucasLehmerResidue p = 0
#align lucas_lehmer.lucas_lehmer_test LucasLehmer.LucasLehmerTest
-- Porting note: We have a fast `norm_num` extension, and we would rather use that than accidentally
-- have `simp` use `decide`!
def q (p : ℕ) : ℕ+ :=
⟨Nat.minFac (mersenne p), Nat.minFac_pos (mersenne p)⟩
#align lucas_lehmer.q LucasLehmer.q
-- It would be nice to define this as (ℤ/qℤ)[x] / (x^2 - 3),
-- obtaining the ring structure for free,
-- but that seems to be more trouble than it's worth;
-- if it were easy to make the definition,
-- cardinality calculations would be somewhat more involved, too.
def X (q : ℕ+) : Type :=
ZMod q × ZMod q
set_option linter.uppercaseLean3 false in
#align lucas_lehmer.X LucasLehmer.X
namespace X
variable {q : ℕ+}
instance : Inhabited (X q) := inferInstanceAs (Inhabited (ZMod q × ZMod q))
instance : Fintype (X q) := inferInstanceAs (Fintype (ZMod q × ZMod q))
instance : DecidableEq (X q) := inferInstanceAs (DecidableEq (ZMod q × ZMod q))
instance : AddCommGroup (X q) := inferInstanceAs (AddCommGroup (ZMod q × ZMod q))
@[ext]
theorem ext {x y : X q} (h₁ : x.1 = y.1) (h₂ : x.2 = y.2) : x = y := by
cases x; cases y; congr
set_option linter.uppercaseLean3 false in
#align lucas_lehmer.X.ext LucasLehmer.X.ext
@[simp] theorem zero_fst : (0 : X q).1 = 0 := rfl
@[simp] theorem zero_snd : (0 : X q).2 = 0 := rfl
@[simp]
theorem add_fst (x y : X q) : (x + y).1 = x.1 + y.1 :=
rfl
set_option linter.uppercaseLean3 false in
#align lucas_lehmer.X.add_fst LucasLehmer.X.add_fst
@[simp]
theorem add_snd (x y : X q) : (x + y).2 = x.2 + y.2 :=
rfl
set_option linter.uppercaseLean3 false in
#align lucas_lehmer.X.add_snd LucasLehmer.X.add_snd
@[simp]
theorem neg_fst (x : X q) : (-x).1 = -x.1 :=
rfl
set_option linter.uppercaseLean3 false in
#align lucas_lehmer.X.neg_fst LucasLehmer.X.neg_fst
@[simp]
theorem neg_snd (x : X q) : (-x).2 = -x.2 :=
rfl
set_option linter.uppercaseLean3 false in
#align lucas_lehmer.X.neg_snd LucasLehmer.X.neg_snd
instance : Mul (X q) where mul x y := (x.1 * y.1 + 3 * x.2 * y.2, x.1 * y.2 + x.2 * y.1)
@[simp]
theorem mul_fst (x y : X q) : (x * y).1 = x.1 * y.1 + 3 * x.2 * y.2 :=
rfl
set_option linter.uppercaseLean3 false in
#align lucas_lehmer.X.mul_fst LucasLehmer.X.mul_fst
@[simp]
theorem mul_snd (x y : X q) : (x * y).2 = x.1 * y.2 + x.2 * y.1 :=
rfl
set_option linter.uppercaseLean3 false in
#align lucas_lehmer.X.mul_snd LucasLehmer.X.mul_snd
instance : One (X q) where one := ⟨1, 0⟩
@[simp]
theorem one_fst : (1 : X q).1 = 1 :=
rfl
set_option linter.uppercaseLean3 false in
#align lucas_lehmer.X.one_fst LucasLehmer.X.one_fst
@[simp]
theorem one_snd : (1 : X q).2 = 0 :=
rfl
set_option linter.uppercaseLean3 false in
#align lucas_lehmer.X.one_snd LucasLehmer.X.one_snd
#noalign lucas_lehmer.X.bit0_fst
#noalign lucas_lehmer.X.bit0_snd
#noalign lucas_lehmer.X.bit1_fst
#noalign lucas_lehmer.X.bit1_snd
instance : Monoid (X q) :=
{ inferInstanceAs (Mul (X q)), inferInstanceAs (One (X q)) with
mul_assoc := fun x y z => by ext <;> dsimp <;> ring
one_mul := fun x => by ext <;> simp
mul_one := fun x => by ext <;> simp }
instance : NatCast (X q) where
natCast := fun n => ⟨n, 0⟩
@[simp] theorem fst_natCast (n : ℕ) : (n : X q).fst = (n : ZMod q) := rfl
set_option linter.uppercaseLean3 false in
#align lucas_lehmer.X.nat_coe_fst LucasLehmer.X.fst_natCast
@[simp] theorem snd_natCast (n : ℕ) : (n : X q).snd = (0 : ZMod q) := rfl
set_option linter.uppercaseLean3 false in
#align lucas_lehmer.X.nat_coe_snd LucasLehmer.X.snd_natCast
-- See note [no_index around OfNat.ofNat]
@[simp] theorem ofNat_fst (n : ℕ) [n.AtLeastTwo] :
(no_index (OfNat.ofNat n) : X q).fst = OfNat.ofNat n :=
rfl
-- See note [no_index around OfNat.ofNat]
@[simp] theorem ofNat_snd (n : ℕ) [n.AtLeastTwo] :
(no_index (OfNat.ofNat n) : X q).snd = 0 :=
rfl
instance : AddGroupWithOne (X q) :=
{ inferInstanceAs (Monoid (X q)), inferInstanceAs (AddCommGroup (X q)),
inferInstanceAs (NatCast (X q)) with
natCast_zero := by ext <;> simp
natCast_succ := fun _ ↦ by ext <;> simp
intCast := fun n => ⟨n, 0⟩
intCast_ofNat := fun n => by ext <;> simp
intCast_negSucc := fun n => by ext <;> simp }
theorem left_distrib (x y z : X q) : x * (y + z) = x * y + x * z := by
ext <;> dsimp <;> ring
set_option linter.uppercaseLean3 false in
#align lucas_lehmer.X.left_distrib LucasLehmer.X.left_distrib
theorem right_distrib (x y z : X q) : (x + y) * z = x * z + y * z := by
ext <;> dsimp <;> ring
set_option linter.uppercaseLean3 false in
#align lucas_lehmer.X.right_distrib LucasLehmer.X.right_distrib
instance : Ring (X q) :=
{ inferInstanceAs (AddGroupWithOne (X q)), inferInstanceAs (AddCommGroup (X q)),
inferInstanceAs (Monoid (X q)) with
left_distrib := left_distrib
right_distrib := right_distrib
mul_zero := fun _ ↦ by ext <;> simp
zero_mul := fun _ ↦ by ext <;> simp }
instance : CommRing (X q) :=
{ inferInstanceAs (Ring (X q)) with
mul_comm := fun _ _ ↦ by ext <;> dsimp <;> ring }
instance [Fact (1 < (q : ℕ))] : Nontrivial (X q) :=
⟨⟨0, 1, ne_of_apply_ne Prod.fst zero_ne_one⟩⟩
@[simp]
theorem fst_intCast (n : ℤ) : (n : X q).fst = (n : ZMod q) :=
rfl
set_option linter.uppercaseLean3 false in
#align lucas_lehmer.X.int_coe_fst LucasLehmer.X.fst_intCast
@[simp]
theorem snd_intCast (n : ℤ) : (n : X q).snd = (0 : ZMod q) :=
rfl
set_option linter.uppercaseLean3 false in
#align lucas_lehmer.X.int_coe_snd LucasLehmer.X.snd_intCast
@[deprecated (since := "2024-05-25")] alias nat_coe_fst := fst_natCast
@[deprecated (since := "2024-05-25")] alias nat_coe_snd := snd_natCast
@[deprecated (since := "2024-05-25")] alias int_coe_fst := fst_intCast
@[deprecated (since := "2024-05-25")] alias int_coe_snd := snd_intCast
@[norm_cast]
theorem coe_mul (n m : ℤ) : ((n * m : ℤ) : X q) = (n : X q) * (m : X q) := by ext <;> simp
set_option linter.uppercaseLean3 false in
#align lucas_lehmer.X.coe_mul LucasLehmer.X.coe_mul
@[norm_cast]
theorem coe_natCast (n : ℕ) : ((n : ℤ) : X q) = (n : X q) := by ext <;> simp
set_option linter.uppercaseLean3 false in
#align lucas_lehmer.X.coe_nat LucasLehmer.X.coe_natCast
@[deprecated (since := "2024-04-05")] alias coe_nat := coe_natCast
theorem card_eq : Fintype.card (X q) = q ^ 2 := by
dsimp [X]
rw [Fintype.card_prod, ZMod.card q, sq]
set_option linter.uppercaseLean3 false in
#align lucas_lehmer.X.X_card LucasLehmer.X.card_eq
nonrec theorem card_units_lt (w : 1 < q) : Fintype.card (X q)ˣ < q ^ 2 := by
have : Fact (1 < (q : ℕ)) := ⟨w⟩
convert card_units_lt (X q)
rw [card_eq]
set_option linter.uppercaseLean3 false in
#align lucas_lehmer.X.units_card LucasLehmer.X.card_units_lt
def ω : X q := (2, 1)
set_option linter.uppercaseLean3 false in
#align lucas_lehmer.X.ω LucasLehmer.X.ω
def ωb : X q := (2, -1)
set_option linter.uppercaseLean3 false in
#align lucas_lehmer.X.ωb LucasLehmer.X.ωb
theorem ω_mul_ωb (q : ℕ+) : (ω : X q) * ωb = 1 := by
dsimp [ω, ωb]
ext <;> simp; ring
set_option linter.uppercaseLean3 false in
#align lucas_lehmer.X.ω_mul_ωb LucasLehmer.X.ω_mul_ωb
theorem ωb_mul_ω (q : ℕ+) : (ωb : X q) * ω = 1 := by
rw [mul_comm, ω_mul_ωb]
set_option linter.uppercaseLean3 false in
#align lucas_lehmer.X.ωb_mul_ω LucasLehmer.X.ωb_mul_ω
| Mathlib/NumberTheory/LucasLehmer.lean | 433 | 444 | theorem closed_form (i : ℕ) : (s i : X q) = (ω : X q) ^ 2 ^ i + (ωb : X q) ^ 2 ^ i := by |
induction' i with i ih
· dsimp [s, ω, ωb]
ext <;> norm_num
· calc
(s (i + 1) : X q) = (s i ^ 2 - 2 : ℤ) := rfl
_ = (s i : X q) ^ 2 - 2 := by push_cast; rfl
_ = (ω ^ 2 ^ i + ωb ^ 2 ^ i) ^ 2 - 2 := by rw [ih]
_ = (ω ^ 2 ^ i) ^ 2 + (ωb ^ 2 ^ i) ^ 2 + 2 * (ωb ^ 2 ^ i * ω ^ 2 ^ i) - 2 := by ring
_ = (ω ^ 2 ^ i) ^ 2 + (ωb ^ 2 ^ i) ^ 2 := by
rw [← mul_pow ωb ω, ωb_mul_ω, one_pow, mul_one, add_sub_cancel_right]
_ = ω ^ 2 ^ (i + 1) + ωb ^ 2 ^ (i + 1) := by rw [← pow_mul, ← pow_mul, _root_.pow_succ]
|
import Mathlib.Order.Filter.Bases
import Mathlib.Topology.Algebra.Module.Basic
#align_import topology.algebra.filter_basis from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
open Filter Set TopologicalSpace Function
open Topology Filter Pointwise
universe u
class GroupFilterBasis (G : Type u) [Group G] extends FilterBasis G where
one' : ∀ {U}, U ∈ sets → (1 : G) ∈ U
mul' : ∀ {U}, U ∈ sets → ∃ V ∈ sets, V * V ⊆ U
inv' : ∀ {U}, U ∈ sets → ∃ V ∈ sets, V ⊆ (fun x ↦ x⁻¹) ⁻¹' U
conj' : ∀ x₀, ∀ {U}, U ∈ sets → ∃ V ∈ sets, V ⊆ (fun x ↦ x₀ * x * x₀⁻¹) ⁻¹' U
#align group_filter_basis GroupFilterBasis
class AddGroupFilterBasis (A : Type u) [AddGroup A] extends FilterBasis A where
zero' : ∀ {U}, U ∈ sets → (0 : A) ∈ U
add' : ∀ {U}, U ∈ sets → ∃ V ∈ sets, V + V ⊆ U
neg' : ∀ {U}, U ∈ sets → ∃ V ∈ sets, V ⊆ (fun x ↦ -x) ⁻¹' U
conj' : ∀ x₀, ∀ {U}, U ∈ sets → ∃ V ∈ sets, V ⊆ (fun x ↦ x₀ + x + -x₀) ⁻¹' U
#align add_group_filter_basis AddGroupFilterBasis
attribute [to_additive existing] GroupFilterBasis GroupFilterBasis.conj'
GroupFilterBasis.toFilterBasis
@[to_additive "`AddGroupFilterBasis` constructor in the additive commutative group case."]
def groupFilterBasisOfComm {G : Type*} [CommGroup G] (sets : Set (Set G))
(nonempty : sets.Nonempty) (inter_sets : ∀ x y, x ∈ sets → y ∈ sets → ∃ z ∈ sets, z ⊆ x ∩ y)
(one : ∀ U ∈ sets, (1 : G) ∈ U) (mul : ∀ U ∈ sets, ∃ V ∈ sets, V * V ⊆ U)
(inv : ∀ U ∈ sets, ∃ V ∈ sets, V ⊆ (fun x ↦ x⁻¹) ⁻¹' U) : GroupFilterBasis G :=
{ sets := sets
nonempty := nonempty
inter_sets := inter_sets _ _
one' := one _
mul' := mul _
inv' := inv _
conj' := fun x U U_in ↦ ⟨U, U_in, by simp only [mul_inv_cancel_comm, preimage_id']; rfl⟩ }
#align group_filter_basis_of_comm groupFilterBasisOfComm
#align add_group_filter_basis_of_comm addGroupFilterBasisOfComm
namespace GroupFilterBasis
variable {G : Type u} [Group G] {B : GroupFilterBasis G}
@[to_additive]
instance : Membership (Set G) (GroupFilterBasis G) :=
⟨fun s f ↦ s ∈ f.sets⟩
@[to_additive]
theorem one {U : Set G} : U ∈ B → (1 : G) ∈ U :=
GroupFilterBasis.one'
#align group_filter_basis.one GroupFilterBasis.one
#align add_group_filter_basis.zero AddGroupFilterBasis.zero
@[to_additive]
theorem mul {U : Set G} : U ∈ B → ∃ V ∈ B, V * V ⊆ U :=
GroupFilterBasis.mul'
#align group_filter_basis.mul GroupFilterBasis.mul
#align add_group_filter_basis.add AddGroupFilterBasis.add
@[to_additive]
theorem inv {U : Set G} : U ∈ B → ∃ V ∈ B, V ⊆ (fun x ↦ x⁻¹) ⁻¹' U :=
GroupFilterBasis.inv'
#align group_filter_basis.inv GroupFilterBasis.inv
#align add_group_filter_basis.neg AddGroupFilterBasis.neg
@[to_additive]
theorem conj : ∀ x₀, ∀ {U}, U ∈ B → ∃ V ∈ B, V ⊆ (fun x ↦ x₀ * x * x₀⁻¹) ⁻¹' U :=
GroupFilterBasis.conj'
#align group_filter_basis.conj GroupFilterBasis.conj
#align add_group_filter_basis.conj AddGroupFilterBasis.conj
@[to_additive "The trivial additive group filter basis consists of `{0}` only. The associated
topology is discrete."]
instance : Inhabited (GroupFilterBasis G) where
default := {
sets := {{1}}
nonempty := singleton_nonempty _
inter_sets := by simp
one' := by simp
mul' := by simp
inv' := by simp
conj' := by simp }
@[to_additive]
theorem subset_mul_self (B : GroupFilterBasis G) {U : Set G} (h : U ∈ B) : U ⊆ U * U :=
fun x x_in ↦ ⟨1, one h, x, x_in, one_mul x⟩
#align group_filter_basis.prod_subset_self GroupFilterBasis.subset_mul_self
#align add_group_filter_basis.sum_subset_self AddGroupFilterBasis.subset_add_self
@[to_additive "The neighborhood function of an `AddGroupFilterBasis`."]
def N (B : GroupFilterBasis G) : G → Filter G :=
fun x ↦ map (fun y ↦ x * y) B.toFilterBasis.filter
set_option linter.uppercaseLean3 false in
#align group_filter_basis.N GroupFilterBasis.N
set_option linter.uppercaseLean3 false in
#align add_group_filter_basis.N AddGroupFilterBasis.N
@[to_additive (attr := simp)]
theorem N_one (B : GroupFilterBasis G) : B.N 1 = B.toFilterBasis.filter := by
simp only [N, one_mul, map_id']
set_option linter.uppercaseLean3 false in
#align group_filter_basis.N_one GroupFilterBasis.N_one
set_option linter.uppercaseLean3 false in
#align add_group_filter_basis.N_zero AddGroupFilterBasis.N_zero
@[to_additive]
protected theorem hasBasis (B : GroupFilterBasis G) (x : G) :
HasBasis (B.N x) (fun V : Set G ↦ V ∈ B) fun V ↦ (fun y ↦ x * y) '' V :=
HasBasis.map (fun y ↦ x * y) toFilterBasis.hasBasis
#align group_filter_basis.has_basis GroupFilterBasis.hasBasis
#align add_group_filter_basis.has_basis AddGroupFilterBasis.hasBasis
@[to_additive "The topological space structure coming from an additive group filter basis."]
def topology (B : GroupFilterBasis G) : TopologicalSpace G :=
TopologicalSpace.mkOfNhds B.N
#align group_filter_basis.topology GroupFilterBasis.topology
#align add_group_filter_basis.topology AddGroupFilterBasis.topology
@[to_additive]
theorem nhds_eq (B : GroupFilterBasis G) {x₀ : G} : @nhds G B.topology x₀ = B.N x₀ := by
apply TopologicalSpace.nhds_mkOfNhds_of_hasBasis (fun x ↦ (FilterBasis.hasBasis _).map _)
· intro a U U_in
exact ⟨1, B.one U_in, mul_one a⟩
· intro a U U_in
rcases GroupFilterBasis.mul U_in with ⟨V, V_in, hVU⟩
filter_upwards [image_mem_map (B.mem_filter_of_mem V_in)]
rintro _ ⟨x, hx, rfl⟩
calc
a • U ⊇ a • (V * V) := smul_set_mono hVU
_ ⊇ a • x • V := smul_set_mono <| smul_set_subset_smul hx
_ = (a * x) • V := smul_smul ..
_ ∈ (a * x) • B.filter := smul_set_mem_smul_filter <| B.mem_filter_of_mem V_in
#align group_filter_basis.nhds_eq GroupFilterBasis.nhds_eq
#align add_group_filter_basis.nhds_eq AddGroupFilterBasis.nhds_eq
@[to_additive]
theorem nhds_one_eq (B : GroupFilterBasis G) :
@nhds G B.topology (1 : G) = B.toFilterBasis.filter := by
rw [B.nhds_eq]
simp only [N, one_mul]
exact map_id
#align group_filter_basis.nhds_one_eq GroupFilterBasis.nhds_one_eq
#align add_group_filter_basis.nhds_zero_eq AddGroupFilterBasis.nhds_zero_eq
@[to_additive]
theorem nhds_hasBasis (B : GroupFilterBasis G) (x₀ : G) :
HasBasis (@nhds G B.topology x₀) (fun V : Set G ↦ V ∈ B) fun V ↦ (fun y ↦ x₀ * y) '' V := by
rw [B.nhds_eq]
apply B.hasBasis
#align group_filter_basis.nhds_has_basis GroupFilterBasis.nhds_hasBasis
#align add_group_filter_basis.nhds_has_basis AddGroupFilterBasis.nhds_hasBasis
@[to_additive]
theorem nhds_one_hasBasis (B : GroupFilterBasis G) :
HasBasis (@nhds G B.topology 1) (fun V : Set G ↦ V ∈ B) id := by
rw [B.nhds_one_eq]
exact B.toFilterBasis.hasBasis
#align group_filter_basis.nhds_one_has_basis GroupFilterBasis.nhds_one_hasBasis
#align add_group_filter_basis.nhds_zero_has_basis AddGroupFilterBasis.nhds_zero_hasBasis
@[to_additive]
| Mathlib/Topology/Algebra/FilterBasis.lean | 213 | 216 | theorem mem_nhds_one (B : GroupFilterBasis G) {U : Set G} (hU : U ∈ B) :
U ∈ @nhds G B.topology 1 := by |
rw [B.nhds_one_hasBasis.mem_iff]
exact ⟨U, hU, rfl.subset⟩
|
import Mathlib.Data.Int.Interval
import Mathlib.Data.Int.SuccPred
import Mathlib.Data.Int.ConditionallyCompleteOrder
import Mathlib.Topology.Instances.Discrete
import Mathlib.Topology.MetricSpace.Bounded
import Mathlib.Order.Filter.Archimedean
#align_import topology.instances.int from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a"
noncomputable section
open Metric Set Filter
namespace Int
instance : Dist ℤ :=
⟨fun x y => dist (x : ℝ) y⟩
theorem dist_eq (x y : ℤ) : dist x y = |(x : ℝ) - y| := rfl
#align int.dist_eq Int.dist_eq
theorem dist_eq' (m n : ℤ) : dist m n = |m - n| := by rw [dist_eq]; norm_cast
@[norm_cast, simp]
theorem dist_cast_real (x y : ℤ) : dist (x : ℝ) y = dist x y :=
rfl
#align int.dist_cast_real Int.dist_cast_real
theorem pairwise_one_le_dist : Pairwise fun m n : ℤ => 1 ≤ dist m n := by
intro m n hne
rw [dist_eq]; norm_cast; rwa [← zero_add (1 : ℤ), Int.add_one_le_iff, abs_pos, sub_ne_zero]
#align int.pairwise_one_le_dist Int.pairwise_one_le_dist
theorem uniformEmbedding_coe_real : UniformEmbedding ((↑) : ℤ → ℝ) :=
uniformEmbedding_bot_of_pairwise_le_dist zero_lt_one pairwise_one_le_dist
#align int.uniform_embedding_coe_real Int.uniformEmbedding_coe_real
theorem closedEmbedding_coe_real : ClosedEmbedding ((↑) : ℤ → ℝ) :=
closedEmbedding_of_pairwise_le_dist zero_lt_one pairwise_one_le_dist
#align int.closed_embedding_coe_real Int.closedEmbedding_coe_real
instance : MetricSpace ℤ := Int.uniformEmbedding_coe_real.comapMetricSpace _
theorem preimage_ball (x : ℤ) (r : ℝ) : (↑) ⁻¹' ball (x : ℝ) r = ball x r := rfl
#align int.preimage_ball Int.preimage_ball
theorem preimage_closedBall (x : ℤ) (r : ℝ) : (↑) ⁻¹' closedBall (x : ℝ) r = closedBall x r := rfl
#align int.preimage_closed_ball Int.preimage_closedBall
theorem ball_eq_Ioo (x : ℤ) (r : ℝ) : ball x r = Ioo ⌊↑x - r⌋ ⌈↑x + r⌉ := by
rw [← preimage_ball, Real.ball_eq_Ioo, preimage_Ioo]
#align int.ball_eq_Ioo Int.ball_eq_Ioo
theorem closedBall_eq_Icc (x : ℤ) (r : ℝ) : closedBall x r = Icc ⌈↑x - r⌉ ⌊↑x + r⌋ := by
rw [← preimage_closedBall, Real.closedBall_eq_Icc, preimage_Icc]
#align int.closed_ball_eq_Icc Int.closedBall_eq_Icc
instance : ProperSpace ℤ :=
⟨fun x r => by
rw [closedBall_eq_Icc]
exact (Set.finite_Icc _ _).isCompact⟩
@[simp]
| Mathlib/Topology/Instances/Int.lean | 76 | 78 | theorem cobounded_eq : Bornology.cobounded ℤ = atBot ⊔ atTop := by |
simp_rw [← comap_dist_right_atTop (0 : ℤ), dist_eq', sub_zero,
← comap_abs_atTop, ← @Int.comap_cast_atTop ℝ, comap_comap]; rfl
|
import Mathlib.RingTheory.Localization.FractionRing
import Mathlib.Algebra.Polynomial.RingDivision
#align_import field_theory.ratfunc from "leanprover-community/mathlib"@"bf9bbbcf0c1c1ead18280b0d010e417b10abb1b6"
noncomputable section
open scoped Classical
open scoped nonZeroDivisors Polynomial
universe u v
variable (K : Type u)
structure RatFunc [CommRing K] : Type u where ofFractionRing ::
toFractionRing : FractionRing K[X]
#align ratfunc RatFunc
#align ratfunc.of_fraction_ring RatFunc.ofFractionRing
#align ratfunc.to_fraction_ring RatFunc.toFractionRing
namespace RatFunc
section CommRing
variable {K}
variable [CommRing K]
section Rec
theorem ofFractionRing_injective : Function.Injective (ofFractionRing : _ → RatFunc K) :=
fun _ _ => ofFractionRing.inj
#align ratfunc.of_fraction_ring_injective RatFunc.ofFractionRing_injective
theorem toFractionRing_injective : Function.Injective (toFractionRing : _ → FractionRing K[X])
-- Porting note: the `xy` input was `rfl` and then there was no need for the `subst`
| ⟨x⟩, ⟨y⟩, xy => by subst xy; rfl
#align ratfunc.to_fraction_ring_injective RatFunc.toFractionRing_injective
protected irreducible_def liftOn {P : Sort v} (x : RatFunc K) (f : K[X] → K[X] → P)
(H : ∀ {p q p' q'} (_hq : q ∈ K[X]⁰) (_hq' : q' ∈ K[X]⁰), q' * p = q * p' → f p q = f p' q') :
P := by
refine Localization.liftOn (toFractionRing x) (fun p q => f p q) ?_
intros p p' q q' h
exact H q.2 q'.2 (let ⟨⟨c, hc⟩, mul_eq⟩ := Localization.r_iff_exists.mp h
mul_cancel_left_coe_nonZeroDivisors.mp mul_eq)
-- Porting note: the definition above was as follows
-- (-- Fix timeout by manipulating elaboration order
-- fun p q => f p q)
-- fun p p' q q' h => by
-- exact H q.2 q'.2
-- (let ⟨⟨c, hc⟩, mul_eq⟩ := Localization.r_iff_exists.mp h
-- mul_cancel_left_coe_nonZeroDivisors.mp mul_eq)
#align ratfunc.lift_on RatFunc.liftOn
theorem liftOn_ofFractionRing_mk {P : Sort v} (n : K[X]) (d : K[X]⁰) (f : K[X] → K[X] → P)
(H : ∀ {p q p' q'} (_hq : q ∈ K[X]⁰) (_hq' : q' ∈ K[X]⁰), q' * p = q * p' → f p q = f p' q') :
RatFunc.liftOn (ofFractionRing (Localization.mk n d)) f @H = f n d := by
rw [RatFunc.liftOn]
exact Localization.liftOn_mk _ _ _ _
#align ratfunc.lift_on_of_fraction_ring_mk RatFunc.liftOn_ofFractionRing_mk
theorem liftOn_condition_of_liftOn'_condition {P : Sort v} {f : K[X] → K[X] → P}
(H : ∀ {p q a} (hq : q ≠ 0) (_ha : a ≠ 0), f (a * p) (a * q) = f p q) ⦃p q p' q' : K[X]⦄
(hq : q ≠ 0) (hq' : q' ≠ 0) (h : q' * p = q * p') : f p q = f p' q' :=
calc
f p q = f (q' * p) (q' * q) := (H hq hq').symm
_ = f (q * p') (q * q') := by rw [h, mul_comm q']
_ = f p' q' := H hq' hq
#align ratfunc.lift_on_condition_of_lift_on'_condition RatFunc.liftOn_condition_of_liftOn'_condition
section IsDomain
variable [IsDomain K]
protected irreducible_def mk (p q : K[X]) : RatFunc K :=
ofFractionRing (algebraMap _ _ p / algebraMap _ _ q)
#align ratfunc.mk RatFunc.mk
theorem mk_eq_div' (p q : K[X]) :
RatFunc.mk p q = ofFractionRing (algebraMap _ _ p / algebraMap _ _ q) := by rw [RatFunc.mk]
#align ratfunc.mk_eq_div' RatFunc.mk_eq_div'
theorem mk_zero (p : K[X]) : RatFunc.mk p 0 = ofFractionRing (0 : FractionRing K[X]) := by
rw [mk_eq_div', RingHom.map_zero, div_zero]
#align ratfunc.mk_zero RatFunc.mk_zero
| Mathlib/FieldTheory/RatFunc/Defs.lean | 162 | 165 | theorem mk_coe_def (p : K[X]) (q : K[X]⁰) :
-- Porting note: filled in `(FractionRing K[X])` that was an underscore.
RatFunc.mk p q = ofFractionRing (IsLocalization.mk' (FractionRing K[X]) p q) := by |
simp only [mk_eq_div', ← Localization.mk_eq_mk', FractionRing.mk_eq_div]
|
import Mathlib.Algebra.Algebra.Tower
import Mathlib.Analysis.LocallyConvex.WithSeminorms
import Mathlib.Topology.Algebra.Module.StrongTopology
import Mathlib.Analysis.NormedSpace.LinearIsometry
import Mathlib.Analysis.NormedSpace.ContinuousLinearMap
import Mathlib.Tactic.SuppressCompilation
#align_import analysis.normed_space.operator_norm from "leanprover-community/mathlib"@"f7ebde7ee0d1505dfccac8644ae12371aa3c1c9f"
suppress_compilation
open Bornology
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*}
section SemiNormed
open Metric ContinuousLinearMap
variable [SeminormedAddCommGroup E] [SeminormedAddCommGroup Eₗ] [SeminormedAddCommGroup F]
[SeminormedAddCommGroup Fₗ] [SeminormedAddCommGroup G] [SeminormedAddCommGroup Gₗ]
variable [NontriviallyNormedField 𝕜] [NontriviallyNormedField 𝕜₂] [NontriviallyNormedField 𝕜₃]
[NormedSpace 𝕜 E] [NormedSpace 𝕜 Eₗ] [NormedSpace 𝕜₂ F] [NormedSpace 𝕜 Fₗ] [NormedSpace 𝕜₃ G]
{σ₁₂ : 𝕜 →+* 𝕜₂} {σ₂₃ : 𝕜₂ →+* 𝕜₃} {σ₁₃ : 𝕜 →+* 𝕜₃} [RingHomCompTriple σ₁₂ σ₂₃ σ₁₃]
variable [FunLike 𝓕 E F]
theorem norm_image_of_norm_zero [SemilinearMapClass 𝓕 σ₁₂ E F] (f : 𝓕) (hf : Continuous f) {x : E}
(hx : ‖x‖ = 0) : ‖f x‖ = 0 := by
rw [← mem_closure_zero_iff_norm, ← specializes_iff_mem_closure, ← map_zero f] at *
exact hx.map hf
#align norm_image_of_norm_zero norm_image_of_norm_zero
section
variable [RingHomIsometric σ₁₂] [RingHomIsometric σ₂₃]
theorem SemilinearMapClass.bound_of_shell_semi_normed [SemilinearMapClass 𝓕 σ₁₂ E F] (f : 𝓕)
{ε C : ℝ} (ε_pos : 0 < ε) {c : 𝕜} (hc : 1 < ‖c‖)
(hf : ∀ x, ε / ‖c‖ ≤ ‖x‖ → ‖x‖ < ε → ‖f x‖ ≤ C * ‖x‖) {x : E} (hx : ‖x‖ ≠ 0) :
‖f x‖ ≤ C * ‖x‖ :=
(normSeminorm 𝕜 E).bound_of_shell ((normSeminorm 𝕜₂ F).comp ⟨⟨f, map_add f⟩, map_smulₛₗ f⟩)
ε_pos hc hf hx
#align semilinear_map_class.bound_of_shell_semi_normed SemilinearMapClass.bound_of_shell_semi_normed
theorem SemilinearMapClass.bound_of_continuous [SemilinearMapClass 𝓕 σ₁₂ E F] (f : 𝓕)
(hf : Continuous f) : ∃ C, 0 < C ∧ ∀ x : E, ‖f x‖ ≤ C * ‖x‖ :=
let φ : E →ₛₗ[σ₁₂] F := ⟨⟨f, map_add f⟩, map_smulₛₗ f⟩
((normSeminorm 𝕜₂ F).comp φ).bound_of_continuous_normedSpace (continuous_norm.comp hf)
#align semilinear_map_class.bound_of_continuous SemilinearMapClass.bound_of_continuous
end
namespace ContinuousLinearMap
theorem bound [RingHomIsometric σ₁₂] (f : E →SL[σ₁₂] F) : ∃ C, 0 < C ∧ ∀ x : E, ‖f x‖ ≤ C * ‖x‖ :=
SemilinearMapClass.bound_of_continuous f f.2
#align continuous_linear_map.bound ContinuousLinearMap.bound
section
open Filter
variable (𝕜 E)
def _root_.LinearIsometry.toSpanSingleton {v : E} (hv : ‖v‖ = 1) : 𝕜 →ₗᵢ[𝕜] E :=
{ LinearMap.toSpanSingleton 𝕜 E v with norm_map' := fun x => by simp [norm_smul, hv] }
#align linear_isometry.to_span_singleton LinearIsometry.toSpanSingleton
variable {𝕜 E}
@[simp]
theorem _root_.LinearIsometry.toSpanSingleton_apply {v : E} (hv : ‖v‖ = 1) (a : 𝕜) :
LinearIsometry.toSpanSingleton 𝕜 E hv a = a • v :=
rfl
#align linear_isometry.to_span_singleton_apply LinearIsometry.toSpanSingleton_apply
@[simp]
theorem _root_.LinearIsometry.coe_toSpanSingleton {v : E} (hv : ‖v‖ = 1) :
(LinearIsometry.toSpanSingleton 𝕜 E hv).toLinearMap = LinearMap.toSpanSingleton 𝕜 E v :=
rfl
#align linear_isometry.coe_to_span_singleton LinearIsometry.coe_toSpanSingleton
end
section OpNorm
open Set Real
def opNorm (f : E →SL[σ₁₂] F) :=
sInf { c | 0 ≤ c ∧ ∀ x, ‖f x‖ ≤ c * ‖x‖ }
#align continuous_linear_map.op_norm ContinuousLinearMap.opNorm
instance hasOpNorm : Norm (E →SL[σ₁₂] F) :=
⟨opNorm⟩
#align continuous_linear_map.has_op_norm ContinuousLinearMap.hasOpNorm
theorem norm_def (f : E →SL[σ₁₂] F) : ‖f‖ = sInf { c | 0 ≤ c ∧ ∀ x, ‖f x‖ ≤ c * ‖x‖ } :=
rfl
#align continuous_linear_map.norm_def ContinuousLinearMap.norm_def
-- So that invocations of `le_csInf` make sense: we show that the set of
-- bounds is nonempty and bounded below.
theorem bounds_nonempty [RingHomIsometric σ₁₂] {f : E →SL[σ₁₂] F} :
∃ c, c ∈ { c | 0 ≤ c ∧ ∀ x, ‖f x‖ ≤ c * ‖x‖ } :=
let ⟨M, hMp, hMb⟩ := f.bound
⟨M, le_of_lt hMp, hMb⟩
#align continuous_linear_map.bounds_nonempty ContinuousLinearMap.bounds_nonempty
theorem bounds_bddBelow {f : E →SL[σ₁₂] F} : BddBelow { c | 0 ≤ c ∧ ∀ x, ‖f x‖ ≤ c * ‖x‖ } :=
⟨0, fun _ ⟨hn, _⟩ => hn⟩
#align continuous_linear_map.bounds_bdd_below ContinuousLinearMap.bounds_bddBelow
| Mathlib/Analysis/NormedSpace/OperatorNorm/Basic.lean | 147 | 151 | theorem isLeast_opNorm [RingHomIsometric σ₁₂] (f : E →SL[σ₁₂] F) :
IsLeast {c | 0 ≤ c ∧ ∀ x, ‖f x‖ ≤ c * ‖x‖} ‖f‖ := by |
refine IsClosed.isLeast_csInf ?_ bounds_nonempty bounds_bddBelow
simp only [setOf_and, setOf_forall]
refine isClosed_Ici.inter <| isClosed_iInter fun _ ↦ isClosed_le ?_ ?_ <;> continuity
|
import Mathlib.Algebra.MvPolynomial.Rename
import Mathlib.Algebra.MvPolynomial.Variables
#align_import data.mv_polynomial.monad from "leanprover-community/mathlib"@"2f5b500a507264de86d666a5f87ddb976e2d8de4"
noncomputable section
namespace MvPolynomial
open Finsupp
variable {σ : Type*} {τ : Type*}
variable {R S T : Type*} [CommSemiring R] [CommSemiring S] [CommSemiring T]
def bind₁ (f : σ → MvPolynomial τ R) : MvPolynomial σ R →ₐ[R] MvPolynomial τ R :=
aeval f
#align mv_polynomial.bind₁ MvPolynomial.bind₁
def bind₂ (f : R →+* MvPolynomial σ S) : MvPolynomial σ R →+* MvPolynomial σ S :=
eval₂Hom f X
#align mv_polynomial.bind₂ MvPolynomial.bind₂
def join₁ : MvPolynomial (MvPolynomial σ R) R →ₐ[R] MvPolynomial σ R :=
aeval id
#align mv_polynomial.join₁ MvPolynomial.join₁
def join₂ : MvPolynomial σ (MvPolynomial σ R) →+* MvPolynomial σ R :=
eval₂Hom (RingHom.id _) X
#align mv_polynomial.join₂ MvPolynomial.join₂
@[simp]
theorem aeval_eq_bind₁ (f : σ → MvPolynomial τ R) : aeval f = bind₁ f :=
rfl
#align mv_polynomial.aeval_eq_bind₁ MvPolynomial.aeval_eq_bind₁
@[simp]
theorem eval₂Hom_C_eq_bind₁ (f : σ → MvPolynomial τ R) : eval₂Hom C f = bind₁ f :=
rfl
set_option linter.uppercaseLean3 false in
#align mv_polynomial.eval₂_hom_C_eq_bind₁ MvPolynomial.eval₂Hom_C_eq_bind₁
@[simp]
theorem eval₂Hom_eq_bind₂ (f : R →+* MvPolynomial σ S) : eval₂Hom f X = bind₂ f :=
rfl
#align mv_polynomial.eval₂_hom_eq_bind₂ MvPolynomial.eval₂Hom_eq_bind₂
section
variable (σ R)
@[simp]
theorem aeval_id_eq_join₁ : aeval id = @join₁ σ R _ :=
rfl
#align mv_polynomial.aeval_id_eq_join₁ MvPolynomial.aeval_id_eq_join₁
theorem eval₂Hom_C_id_eq_join₁ (φ : MvPolynomial (MvPolynomial σ R) R) :
eval₂Hom C id φ = join₁ φ :=
rfl
set_option linter.uppercaseLean3 false in
#align mv_polynomial.eval₂_hom_C_id_eq_join₁ MvPolynomial.eval₂Hom_C_id_eq_join₁
@[simp]
theorem eval₂Hom_id_X_eq_join₂ : eval₂Hom (RingHom.id _) X = @join₂ σ R _ :=
rfl
set_option linter.uppercaseLean3 false in
#align mv_polynomial.eval₂_hom_id_X_eq_join₂ MvPolynomial.eval₂Hom_id_X_eq_join₂
end
-- In this file, we don't want to use these simp lemmas,
-- because we first need to show how these new definitions interact
-- and the proofs fall back on unfolding the definitions and call simp afterwards
attribute [-simp]
aeval_eq_bind₁ eval₂Hom_C_eq_bind₁ eval₂Hom_eq_bind₂ aeval_id_eq_join₁ eval₂Hom_id_X_eq_join₂
@[simp]
theorem bind₁_X_right (f : σ → MvPolynomial τ R) (i : σ) : bind₁ f (X i) = f i :=
aeval_X f i
set_option linter.uppercaseLean3 false in
#align mv_polynomial.bind₁_X_right MvPolynomial.bind₁_X_right
@[simp]
theorem bind₂_X_right (f : R →+* MvPolynomial σ S) (i : σ) : bind₂ f (X i) = X i :=
eval₂Hom_X' f X i
set_option linter.uppercaseLean3 false in
#align mv_polynomial.bind₂_X_right MvPolynomial.bind₂_X_right
@[simp]
theorem bind₁_X_left : bind₁ (X : σ → MvPolynomial σ R) = AlgHom.id R _ := by
ext1 i
simp
set_option linter.uppercaseLean3 false in
#align mv_polynomial.bind₁_X_left MvPolynomial.bind₁_X_left
variable (f : σ → MvPolynomial τ R)
theorem bind₁_C_right (f : σ → MvPolynomial τ R) (x) : bind₁ f (C x) = C x := algHom_C _ _
set_option linter.uppercaseLean3 false in
#align mv_polynomial.bind₁_C_right MvPolynomial.bind₁_C_right
@[simp]
theorem bind₂_C_right (f : R →+* MvPolynomial σ S) (r : R) : bind₂ f (C r) = f r :=
eval₂Hom_C f X r
set_option linter.uppercaseLean3 false in
#align mv_polynomial.bind₂_C_right MvPolynomial.bind₂_C_right
@[simp]
theorem bind₂_C_left : bind₂ (C : R →+* MvPolynomial σ R) = RingHom.id _ := by ext : 2 <;> simp
set_option linter.uppercaseLean3 false in
#align mv_polynomial.bind₂_C_left MvPolynomial.bind₂_C_left
@[simp]
theorem bind₂_comp_C (f : R →+* MvPolynomial σ S) : (bind₂ f).comp C = f :=
RingHom.ext <| bind₂_C_right _
set_option linter.uppercaseLean3 false in
#align mv_polynomial.bind₂_comp_C MvPolynomial.bind₂_comp_C
@[simp]
theorem join₂_map (f : R →+* MvPolynomial σ S) (φ : MvPolynomial σ R) :
join₂ (map f φ) = bind₂ f φ := by simp only [join₂, bind₂, eval₂Hom_map_hom, RingHom.id_comp]
#align mv_polynomial.join₂_map MvPolynomial.join₂_map
@[simp]
theorem join₂_comp_map (f : R →+* MvPolynomial σ S) : join₂.comp (map f) = bind₂ f :=
RingHom.ext <| join₂_map _
#align mv_polynomial.join₂_comp_map MvPolynomial.join₂_comp_map
theorem aeval_id_rename (f : σ → MvPolynomial τ R) (p : MvPolynomial σ R) :
aeval id (rename f p) = aeval f p := by rw [aeval_rename, Function.id_comp]
#align mv_polynomial.aeval_id_rename MvPolynomial.aeval_id_rename
@[simp]
theorem join₁_rename (f : σ → MvPolynomial τ R) (φ : MvPolynomial σ R) :
join₁ (rename f φ) = bind₁ f φ :=
aeval_id_rename _ _
#align mv_polynomial.join₁_rename MvPolynomial.join₁_rename
@[simp]
theorem bind₁_id : bind₁ (@id (MvPolynomial σ R)) = join₁ :=
rfl
#align mv_polynomial.bind₁_id MvPolynomial.bind₁_id
@[simp]
theorem bind₂_id : bind₂ (RingHom.id (MvPolynomial σ R)) = join₂ :=
rfl
#align mv_polynomial.bind₂_id MvPolynomial.bind₂_id
theorem bind₁_bind₁ {υ : Type*} (f : σ → MvPolynomial τ R) (g : τ → MvPolynomial υ R)
(φ : MvPolynomial σ R) : (bind₁ g) (bind₁ f φ) = bind₁ (fun i => bind₁ g (f i)) φ := by
simp [bind₁, ← comp_aeval]
#align mv_polynomial.bind₁_bind₁ MvPolynomial.bind₁_bind₁
theorem bind₁_comp_bind₁ {υ : Type*} (f : σ → MvPolynomial τ R) (g : τ → MvPolynomial υ R) :
(bind₁ g).comp (bind₁ f) = bind₁ fun i => bind₁ g (f i) := by
ext1
apply bind₁_bind₁
#align mv_polynomial.bind₁_comp_bind₁ MvPolynomial.bind₁_comp_bind₁
theorem bind₂_comp_bind₂ (f : R →+* MvPolynomial σ S) (g : S →+* MvPolynomial σ T) :
(bind₂ g).comp (bind₂ f) = bind₂ ((bind₂ g).comp f) := by ext : 2 <;> simp
#align mv_polynomial.bind₂_comp_bind₂ MvPolynomial.bind₂_comp_bind₂
theorem bind₂_bind₂ (f : R →+* MvPolynomial σ S) (g : S →+* MvPolynomial σ T)
(φ : MvPolynomial σ R) : (bind₂ g) (bind₂ f φ) = bind₂ ((bind₂ g).comp f) φ :=
RingHom.congr_fun (bind₂_comp_bind₂ f g) φ
#align mv_polynomial.bind₂_bind₂ MvPolynomial.bind₂_bind₂
theorem rename_comp_bind₁ {υ : Type*} (f : σ → MvPolynomial τ R) (g : τ → υ) :
(rename g).comp (bind₁ f) = bind₁ fun i => rename g <| f i := by
ext1 i
simp
#align mv_polynomial.rename_comp_bind₁ MvPolynomial.rename_comp_bind₁
theorem rename_bind₁ {υ : Type*} (f : σ → MvPolynomial τ R) (g : τ → υ) (φ : MvPolynomial σ R) :
rename g (bind₁ f φ) = bind₁ (fun i => rename g <| f i) φ :=
AlgHom.congr_fun (rename_comp_bind₁ f g) φ
#align mv_polynomial.rename_bind₁ MvPolynomial.rename_bind₁
theorem map_bind₂ (f : R →+* MvPolynomial σ S) (g : S →+* T) (φ : MvPolynomial σ R) :
map g (bind₂ f φ) = bind₂ ((map g).comp f) φ := by
simp only [bind₂, eval₂_comp_right, coe_eval₂Hom, eval₂_map]
congr 1 with : 1
simp only [Function.comp_apply, map_X]
#align mv_polynomial.map_bind₂ MvPolynomial.map_bind₂
theorem bind₁_comp_rename {υ : Type*} (f : τ → MvPolynomial υ R) (g : σ → τ) :
(bind₁ f).comp (rename g) = bind₁ (f ∘ g) := by
ext1 i
simp
#align mv_polynomial.bind₁_comp_rename MvPolynomial.bind₁_comp_rename
theorem bind₁_rename {υ : Type*} (f : τ → MvPolynomial υ R) (g : σ → τ) (φ : MvPolynomial σ R) :
bind₁ f (rename g φ) = bind₁ (f ∘ g) φ :=
AlgHom.congr_fun (bind₁_comp_rename f g) φ
#align mv_polynomial.bind₁_rename MvPolynomial.bind₁_rename
theorem bind₂_map (f : S →+* MvPolynomial σ T) (g : R →+* S) (φ : MvPolynomial σ R) :
bind₂ f (map g φ) = bind₂ (f.comp g) φ := by simp [bind₂]
#align mv_polynomial.bind₂_map MvPolynomial.bind₂_map
@[simp]
theorem map_comp_C (f : R →+* S) : (map f).comp (C : R →+* MvPolynomial σ R) = C.comp f := by
ext1
apply map_C
set_option linter.uppercaseLean3 false in
#align mv_polynomial.map_comp_C MvPolynomial.map_comp_C
-- mixing the two monad structures
theorem hom_bind₁ (f : MvPolynomial τ R →+* S) (g : σ → MvPolynomial τ R) (φ : MvPolynomial σ R) :
f (bind₁ g φ) = eval₂Hom (f.comp C) (fun i => f (g i)) φ := by
rw [bind₁, map_aeval, algebraMap_eq]
#align mv_polynomial.hom_bind₁ MvPolynomial.hom_bind₁
theorem map_bind₁ (f : R →+* S) (g : σ → MvPolynomial τ R) (φ : MvPolynomial σ R) :
map f (bind₁ g φ) = bind₁ (fun i : σ => (map f) (g i)) (map f φ) := by
rw [hom_bind₁, map_comp_C, ← eval₂Hom_map_hom]
rfl
#align mv_polynomial.map_bind₁ MvPolynomial.map_bind₁
@[simp]
theorem eval₂Hom_comp_C (f : R →+* S) (g : σ → S) : (eval₂Hom f g).comp C = f := by
ext1 r
exact eval₂_C f g r
set_option linter.uppercaseLean3 false in
#align mv_polynomial.eval₂_hom_comp_C MvPolynomial.eval₂Hom_comp_C
theorem eval₂Hom_bind₁ (f : R →+* S) (g : τ → S) (h : σ → MvPolynomial τ R) (φ : MvPolynomial σ R) :
eval₂Hom f g (bind₁ h φ) = eval₂Hom f (fun i => eval₂Hom f g (h i)) φ := by
rw [hom_bind₁, eval₂Hom_comp_C]
#align mv_polynomial.eval₂_hom_bind₁ MvPolynomial.eval₂Hom_bind₁
theorem aeval_bind₁ [Algebra R S] (f : τ → S) (g : σ → MvPolynomial τ R) (φ : MvPolynomial σ R) :
aeval f (bind₁ g φ) = aeval (fun i => aeval f (g i)) φ :=
eval₂Hom_bind₁ _ _ _ _
#align mv_polynomial.aeval_bind₁ MvPolynomial.aeval_bind₁
theorem aeval_comp_bind₁ [Algebra R S] (f : τ → S) (g : σ → MvPolynomial τ R) :
(aeval f).comp (bind₁ g) = aeval fun i => aeval f (g i) := by
ext1
apply aeval_bind₁
#align mv_polynomial.aeval_comp_bind₁ MvPolynomial.aeval_comp_bind₁
theorem eval₂Hom_comp_bind₂ (f : S →+* T) (g : σ → T) (h : R →+* MvPolynomial σ S) :
(eval₂Hom f g).comp (bind₂ h) = eval₂Hom ((eval₂Hom f g).comp h) g := by ext : 2 <;> simp
#align mv_polynomial.eval₂_hom_comp_bind₂ MvPolynomial.eval₂Hom_comp_bind₂
theorem eval₂Hom_bind₂ (f : S →+* T) (g : σ → T) (h : R →+* MvPolynomial σ S)
(φ : MvPolynomial σ R) : eval₂Hom f g (bind₂ h φ) = eval₂Hom ((eval₂Hom f g).comp h) g φ :=
RingHom.congr_fun (eval₂Hom_comp_bind₂ f g h) φ
#align mv_polynomial.eval₂_hom_bind₂ MvPolynomial.eval₂Hom_bind₂
theorem aeval_bind₂ [Algebra S T] (f : σ → T) (g : R →+* MvPolynomial σ S) (φ : MvPolynomial σ R) :
aeval f (bind₂ g φ) = eval₂Hom ((↑(aeval f : _ →ₐ[S] _) : _ →+* _).comp g) f φ :=
eval₂Hom_bind₂ _ _ _ _
#align mv_polynomial.aeval_bind₂ MvPolynomial.aeval_bind₂
theorem eval₂Hom_C_left (f : σ → MvPolynomial τ R) : eval₂Hom C f = bind₁ f :=
rfl
set_option linter.uppercaseLean3 false in
#align mv_polynomial.eval₂_hom_C_left MvPolynomial.eval₂Hom_C_left
theorem bind₁_monomial (f : σ → MvPolynomial τ R) (d : σ →₀ ℕ) (r : R) :
bind₁ f (monomial d r) = C r * ∏ i ∈ d.support, f i ^ d i := by
simp only [monomial_eq, AlgHom.map_mul, bind₁_C_right, Finsupp.prod, AlgHom.map_prod,
AlgHom.map_pow, bind₁_X_right]
#align mv_polynomial.bind₁_monomial MvPolynomial.bind₁_monomial
theorem bind₂_monomial (f : R →+* MvPolynomial σ S) (d : σ →₀ ℕ) (r : R) :
bind₂ f (monomial d r) = f r * monomial d 1 := by
simp only [monomial_eq, RingHom.map_mul, bind₂_C_right, Finsupp.prod, map_prod,
map_pow, bind₂_X_right, C_1, one_mul]
#align mv_polynomial.bind₂_monomial MvPolynomial.bind₂_monomial
@[simp]
| Mathlib/Algebra/MvPolynomial/Monad.lean | 346 | 347 | theorem bind₂_monomial_one (f : R →+* MvPolynomial σ S) (d : σ →₀ ℕ) :
bind₂ f (monomial d 1) = monomial d 1 := by | rw [bind₂_monomial, f.map_one, one_mul]
|
import Mathlib.GroupTheory.QuotientGroup
import Mathlib.RingTheory.DedekindDomain.Ideal
#align_import ring_theory.class_group from "leanprover-community/mathlib"@"565eb991e264d0db702722b4bde52ee5173c9950"
variable {R K L : Type*} [CommRing R]
variable [Field K] [Field L] [DecidableEq L]
variable [Algebra R K] [IsFractionRing R K]
variable [Algebra K L] [FiniteDimensional K L]
variable [Algebra R L] [IsScalarTower R K L]
open scoped nonZeroDivisors
open IsLocalization IsFractionRing FractionalIdeal Units
section
variable (R K)
irreducible_def toPrincipalIdeal : Kˣ →* (FractionalIdeal R⁰ K)ˣ :=
{ toFun := fun x =>
⟨spanSingleton _ x, spanSingleton _ x⁻¹, by
simp only [spanSingleton_one, Units.mul_inv', spanSingleton_mul_spanSingleton], by
simp only [spanSingleton_one, Units.inv_mul', spanSingleton_mul_spanSingleton]⟩
map_mul' := fun x y =>
ext (by simp only [Units.val_mk, Units.val_mul, spanSingleton_mul_spanSingleton])
map_one' := ext (by simp only [spanSingleton_one, Units.val_mk, Units.val_one]) }
#align to_principal_ideal toPrincipalIdeal
variable {R K}
@[simp]
theorem coe_toPrincipalIdeal (x : Kˣ) :
(toPrincipalIdeal R K x : FractionalIdeal R⁰ K) = spanSingleton _ (x : K) := by
simp only [toPrincipalIdeal]; rfl
#align coe_to_principal_ideal coe_toPrincipalIdeal
@[simp]
theorem toPrincipalIdeal_eq_iff {I : (FractionalIdeal R⁰ K)ˣ} {x : Kˣ} :
toPrincipalIdeal R K x = I ↔ spanSingleton R⁰ (x : K) = I := by
simp only [toPrincipalIdeal]; exact Units.ext_iff
#align to_principal_ideal_eq_iff toPrincipalIdeal_eq_iff
theorem mem_principal_ideals_iff {I : (FractionalIdeal R⁰ K)ˣ} :
I ∈ (toPrincipalIdeal R K).range ↔ ∃ x : K, spanSingleton R⁰ x = I := by
simp only [MonoidHom.mem_range, toPrincipalIdeal_eq_iff]
constructor <;> rintro ⟨x, hx⟩
· exact ⟨x, hx⟩
· refine ⟨Units.mk0 x ?_, hx⟩
rintro rfl
simp [I.ne_zero.symm] at hx
#align mem_principal_ideals_iff mem_principal_ideals_iff
instance PrincipalIdeals.normal : (toPrincipalIdeal R K).range.Normal :=
Subgroup.normal_of_comm _
#align principal_ideals.normal PrincipalIdeals.normal
end
variable (R)
variable [IsDomain R]
def ClassGroup :=
(FractionalIdeal R⁰ (FractionRing R))ˣ ⧸ (toPrincipalIdeal R (FractionRing R)).range
#align class_group ClassGroup
noncomputable instance : CommGroup (ClassGroup R) :=
QuotientGroup.Quotient.commGroup (toPrincipalIdeal R (FractionRing R)).range
noncomputable instance : Inhabited (ClassGroup R) := ⟨1⟩
variable {R}
noncomputable def ClassGroup.mk : (FractionalIdeal R⁰ K)ˣ →* ClassGroup R :=
(QuotientGroup.mk' (toPrincipalIdeal R (FractionRing R)).range).comp
(Units.map (FractionalIdeal.canonicalEquiv R⁰ K (FractionRing R)))
#align class_group.mk ClassGroup.mk
-- Can't be `@[simp]` because it can't figure out the quotient relation.
theorem ClassGroup.Quot_mk_eq_mk (I : (FractionalIdeal R⁰ (FractionRing R))ˣ) :
Quot.mk _ I = ClassGroup.mk I := by
rw [ClassGroup.mk, canonicalEquiv_self, RingEquiv.coe_monoidHom_refl, Units.map_id]
-- This used to be `rw`, but we need `erw` after leanprover/lean4#2644
erw [MonoidHom.comp_apply]
rw [MonoidHom.id_apply, QuotientGroup.mk'_apply]
rfl
theorem ClassGroup.mk_eq_mk {I J : (FractionalIdeal R⁰ <| FractionRing R)ˣ} :
ClassGroup.mk I = ClassGroup.mk J ↔
∃ x : (FractionRing R)ˣ, I * toPrincipalIdeal R (FractionRing R) x = J := by
erw [QuotientGroup.mk'_eq_mk', canonicalEquiv_self, Units.map_id, Set.exists_range_iff]
rfl
#align class_group.mk_eq_mk ClassGroup.mk_eq_mk
theorem ClassGroup.mk_eq_mk_of_coe_ideal {I J : (FractionalIdeal R⁰ <| FractionRing R)ˣ}
{I' J' : Ideal R} (hI : (I : FractionalIdeal R⁰ <| FractionRing R) = I')
(hJ : (J : FractionalIdeal R⁰ <| FractionRing R) = J') :
ClassGroup.mk I = ClassGroup.mk J ↔
∃ x y : R, x ≠ 0 ∧ y ≠ 0 ∧ Ideal.span {x} * I' = Ideal.span {y} * J' := by
rw [ClassGroup.mk_eq_mk]
constructor
· rintro ⟨x, rfl⟩
rw [Units.val_mul, hI, coe_toPrincipalIdeal, mul_comm,
spanSingleton_mul_coeIdeal_eq_coeIdeal] at hJ
exact ⟨_, _, sec_fst_ne_zero (R := R) le_rfl x.ne_zero,
sec_snd_ne_zero (R := R) le_rfl (x : FractionRing R), hJ⟩
· rintro ⟨x, y, hx, hy, h⟩
have : IsUnit (mk' (FractionRing R) x ⟨y, mem_nonZeroDivisors_of_ne_zero hy⟩) := by
simpa only [isUnit_iff_ne_zero, ne_eq, mk'_eq_zero_iff_eq_zero] using hx
refine ⟨this.unit, ?_⟩
rw [mul_comm, ← Units.eq_iff, Units.val_mul, coe_toPrincipalIdeal]
convert
(mk'_mul_coeIdeal_eq_coeIdeal (FractionRing R) <| mem_nonZeroDivisors_of_ne_zero hy).2 h
#align class_group.mk_eq_mk_of_coe_ideal ClassGroup.mk_eq_mk_of_coe_ideal
theorem ClassGroup.mk_eq_one_of_coe_ideal {I : (FractionalIdeal R⁰ <| FractionRing R)ˣ}
{I' : Ideal R} (hI : (I : FractionalIdeal R⁰ <| FractionRing R) = I') :
ClassGroup.mk I = 1 ↔ ∃ x : R, x ≠ 0 ∧ I' = Ideal.span {x} := by
rw [← _root_.map_one (ClassGroup.mk (R := R) (K := FractionRing R)),
ClassGroup.mk_eq_mk_of_coe_ideal hI (?_ : _ = ↑(⊤ : Ideal R))]
any_goals rfl
constructor
· rintro ⟨x, y, hx, hy, h⟩
rw [Ideal.mul_top] at h
rcases Ideal.mem_span_singleton_mul.mp ((Ideal.span_singleton_le_iff_mem _).mp h.ge) with
⟨i, _hi, rfl⟩
rw [← Ideal.span_singleton_mul_span_singleton, Ideal.span_singleton_mul_right_inj hx] at h
exact ⟨i, right_ne_zero_of_mul hy, h⟩
· rintro ⟨x, hx, rfl⟩
exact ⟨1, x, one_ne_zero, hx, by rw [Ideal.span_singleton_one, Ideal.top_mul, Ideal.mul_top]⟩
#align class_group.mk_eq_one_of_coe_ideal ClassGroup.mk_eq_one_of_coe_ideal
variable (K)
@[elab_as_elim]
theorem ClassGroup.induction {P : ClassGroup R → Prop}
(h : ∀ I : (FractionalIdeal R⁰ K)ˣ, P (ClassGroup.mk I)) (x : ClassGroup R) : P x :=
QuotientGroup.induction_on x fun I => by
have : I = (Units.mapEquiv (canonicalEquiv R⁰ K (FractionRing R)).toMulEquiv)
(Units.mapEquiv (canonicalEquiv R⁰ (FractionRing R) K).toMulEquiv I) := by
simp [← Units.eq_iff]
rw [congr_arg (QuotientGroup.mk (s := (toPrincipalIdeal R (FractionRing R)).range)) this]
exact h _
#align class_group.induction ClassGroup.induction
noncomputable def ClassGroup.equiv :
ClassGroup R ≃* (FractionalIdeal R⁰ K)ˣ ⧸ (toPrincipalIdeal R K).range := by
haveI : Subgroup.map
(Units.mapEquiv (canonicalEquiv R⁰ (FractionRing R) K).toMulEquiv).toMonoidHom
(toPrincipalIdeal R (FractionRing R)).range = (toPrincipalIdeal R K).range := by
ext I
simp only [Subgroup.mem_map, mem_principal_ideals_iff]
constructor
· rintro ⟨I, ⟨x, hx⟩, rfl⟩
refine ⟨FractionRing.algEquiv R K x, ?_⟩
simp only [RingEquiv.toMulEquiv_eq_coe, MulEquiv.coe_toMonoidHom, coe_mapEquiv, ← hx,
RingEquiv.coe_toMulEquiv, canonicalEquiv_spanSingleton]
rfl
· rintro ⟨x, hx⟩
refine ⟨Units.mapEquiv (canonicalEquiv R⁰ K (FractionRing R)).toMulEquiv I,
⟨(FractionRing.algEquiv R K).symm x, ?_⟩, Units.ext ?_⟩
· simp only [RingEquiv.toMulEquiv_eq_coe, coe_mapEquiv, ← hx, RingEquiv.coe_toMulEquiv,
canonicalEquiv_spanSingleton]
rfl
· simp only [RingEquiv.toMulEquiv_eq_coe, MulEquiv.coe_toMonoidHom, coe_mapEquiv,
RingEquiv.coe_toMulEquiv, canonicalEquiv_canonicalEquiv, canonicalEquiv_self,
RingEquiv.refl_apply]
exact @QuotientGroup.congr (FractionalIdeal R⁰ (FractionRing R))ˣ _ (FractionalIdeal R⁰ K)ˣ _
(toPrincipalIdeal R (FractionRing R)).range (toPrincipalIdeal R K).range _ _
(Units.mapEquiv (FractionalIdeal.canonicalEquiv R⁰ (FractionRing R) K).toMulEquiv) this
#align class_group.equiv ClassGroup.equiv
@[simp]
theorem ClassGroup.equiv_mk (K' : Type*) [Field K'] [Algebra R K'] [IsFractionRing R K']
(I : (FractionalIdeal R⁰ K)ˣ) :
ClassGroup.equiv K' (ClassGroup.mk I) =
QuotientGroup.mk' _ (Units.mapEquiv (↑(FractionalIdeal.canonicalEquiv R⁰ K K')) I) := by
-- This used to be `rw`, but we need `erw` after leanprover/lean4#2644
erw [ClassGroup.equiv, ClassGroup.mk, MonoidHom.comp_apply, QuotientGroup.congr_mk']
congr
rw [← Units.eq_iff, Units.coe_mapEquiv, Units.coe_mapEquiv, Units.coe_map]
exact FractionalIdeal.canonicalEquiv_canonicalEquiv _ _ _ _ _
#align class_group.equiv_mk ClassGroup.equiv_mk
@[simp]
theorem ClassGroup.mk_canonicalEquiv (K' : Type*) [Field K'] [Algebra R K'] [IsFractionRing R K']
(I : (FractionalIdeal R⁰ K)ˣ) :
ClassGroup.mk (Units.map (↑(canonicalEquiv R⁰ K K')) I : (FractionalIdeal R⁰ K')ˣ) =
ClassGroup.mk I := by
-- This used to be `rw`, but we need `erw` after leanprover/lean4#2644
erw [ClassGroup.mk, MonoidHom.comp_apply, ← MonoidHom.comp_apply (Units.map _),
← Units.map_comp, ← RingEquiv.coe_monoidHom_trans,
FractionalIdeal.canonicalEquiv_trans_canonicalEquiv]
rfl
#align class_group.mk_canonical_equiv ClassGroup.mk_canonicalEquiv
noncomputable def FractionalIdeal.mk0 [IsDedekindDomain R] :
(Ideal R)⁰ →* (FractionalIdeal R⁰ K)ˣ where
toFun I := Units.mk0 I (coeIdeal_ne_zero.mpr <| mem_nonZeroDivisors_iff_ne_zero.mp I.2)
map_one' := by simp
map_mul' x y := by simp
#align fractional_ideal.mk0 FractionalIdeal.mk0
@[simp]
theorem FractionalIdeal.coe_mk0 [IsDedekindDomain R] (I : (Ideal R)⁰) :
(FractionalIdeal.mk0 K I : FractionalIdeal R⁰ K) = I := rfl
#align fractional_ideal.coe_mk0 FractionalIdeal.coe_mk0
theorem FractionalIdeal.canonicalEquiv_mk0 [IsDedekindDomain R] (K' : Type*) [Field K']
[Algebra R K'] [IsFractionRing R K'] (I : (Ideal R)⁰) :
FractionalIdeal.canonicalEquiv R⁰ K K' (FractionalIdeal.mk0 K I) =
FractionalIdeal.mk0 K' I := by
simp only [FractionalIdeal.coe_mk0, FractionalIdeal.canonicalEquiv_coeIdeal]
#align fractional_ideal.canonical_equiv_mk0 FractionalIdeal.canonicalEquiv_mk0
@[simp]
theorem FractionalIdeal.map_canonicalEquiv_mk0 [IsDedekindDomain R] (K' : Type*) [Field K']
[Algebra R K'] [IsFractionRing R K'] (I : (Ideal R)⁰) :
Units.map (↑(FractionalIdeal.canonicalEquiv R⁰ K K')) (FractionalIdeal.mk0 K I) =
FractionalIdeal.mk0 K' I :=
Units.ext (FractionalIdeal.canonicalEquiv_mk0 K K' I)
#align fractional_ideal.map_canonical_equiv_mk0 FractionalIdeal.map_canonicalEquiv_mk0
noncomputable def ClassGroup.mk0 [IsDedekindDomain R] : (Ideal R)⁰ →* ClassGroup R :=
ClassGroup.mk.comp (FractionalIdeal.mk0 (FractionRing R))
#align class_group.mk0 ClassGroup.mk0
@[simp]
| Mathlib/RingTheory/ClassGroup.lean | 266 | 269 | theorem ClassGroup.mk_mk0 [IsDedekindDomain R] (I : (Ideal R)⁰) :
ClassGroup.mk (FractionalIdeal.mk0 K I) = ClassGroup.mk0 I := by |
rw [ClassGroup.mk0, MonoidHom.comp_apply, ← ClassGroup.mk_canonicalEquiv K (FractionRing R),
FractionalIdeal.map_canonicalEquiv_mk0]
|
import Mathlib.Data.Nat.Defs
import Mathlib.Data.Option.Basic
import Mathlib.Data.List.Defs
import Mathlib.Init.Data.List.Basic
import Mathlib.Init.Data.List.Instances
import Mathlib.Init.Data.List.Lemmas
import Mathlib.Logic.Unique
import Mathlib.Order.Basic
import Mathlib.Tactic.Common
#align_import data.list.basic from "leanprover-community/mathlib"@"65a1391a0106c9204fe45bc73a039f056558cb83"
assert_not_exists Set.range
assert_not_exists GroupWithZero
assert_not_exists Ring
open Function
open Nat hiding one_pos
namespace List
universe u v w
variable {ι : Type*} {α : Type u} {β : Type v} {γ : Type w} {l₁ l₂ : List α}
-- Porting note: Delete this attribute
-- attribute [inline] List.head!
instance uniqueOfIsEmpty [IsEmpty α] : Unique (List α) :=
{ instInhabitedList with
uniq := fun l =>
match l with
| [] => rfl
| a :: _ => isEmptyElim a }
#align list.unique_of_is_empty List.uniqueOfIsEmpty
instance : Std.LawfulIdentity (α := List α) Append.append [] where
left_id := nil_append
right_id := append_nil
instance : Std.Associative (α := List α) Append.append where
assoc := append_assoc
#align list.cons_ne_nil List.cons_ne_nil
#align list.cons_ne_self List.cons_ne_self
#align list.head_eq_of_cons_eq List.head_eq_of_cons_eqₓ -- implicits order
#align list.tail_eq_of_cons_eq List.tail_eq_of_cons_eqₓ -- implicits order
@[simp] theorem cons_injective {a : α} : Injective (cons a) := fun _ _ => tail_eq_of_cons_eq
#align list.cons_injective List.cons_injective
#align list.cons_inj List.cons_inj
#align list.cons_eq_cons List.cons_eq_cons
theorem singleton_injective : Injective fun a : α => [a] := fun _ _ h => (cons_eq_cons.1 h).1
#align list.singleton_injective List.singleton_injective
theorem singleton_inj {a b : α} : [a] = [b] ↔ a = b :=
singleton_injective.eq_iff
#align list.singleton_inj List.singleton_inj
#align list.exists_cons_of_ne_nil List.exists_cons_of_ne_nil
theorem set_of_mem_cons (l : List α) (a : α) : { x | x ∈ a :: l } = insert a { x | x ∈ l } :=
Set.ext fun _ => mem_cons
#align list.set_of_mem_cons List.set_of_mem_cons
#align list.mem_singleton_self List.mem_singleton_self
#align list.eq_of_mem_singleton List.eq_of_mem_singleton
#align list.mem_singleton List.mem_singleton
#align list.mem_of_mem_cons_of_mem List.mem_of_mem_cons_of_mem
theorem _root_.Decidable.List.eq_or_ne_mem_of_mem [DecidableEq α]
{a b : α} {l : List α} (h : a ∈ b :: l) : a = b ∨ a ≠ b ∧ a ∈ l := by
by_cases hab : a = b
· exact Or.inl hab
· exact ((List.mem_cons.1 h).elim Or.inl (fun h => Or.inr ⟨hab, h⟩))
#align decidable.list.eq_or_ne_mem_of_mem Decidable.List.eq_or_ne_mem_of_mem
#align list.eq_or_ne_mem_of_mem List.eq_or_ne_mem_of_mem
#align list.not_mem_append List.not_mem_append
#align list.ne_nil_of_mem List.ne_nil_of_mem
lemma mem_pair {a b c : α} : a ∈ [b, c] ↔ a = b ∨ a = c := by
rw [mem_cons, mem_singleton]
@[deprecated (since := "2024-03-23")] alias mem_split := append_of_mem
#align list.mem_split List.append_of_mem
#align list.mem_of_ne_of_mem List.mem_of_ne_of_mem
#align list.ne_of_not_mem_cons List.ne_of_not_mem_cons
#align list.not_mem_of_not_mem_cons List.not_mem_of_not_mem_cons
#align list.not_mem_cons_of_ne_of_not_mem List.not_mem_cons_of_ne_of_not_mem
#align list.ne_and_not_mem_of_not_mem_cons List.ne_and_not_mem_of_not_mem_cons
#align list.mem_map List.mem_map
#align list.exists_of_mem_map List.exists_of_mem_map
#align list.mem_map_of_mem List.mem_map_of_memₓ -- implicits order
-- The simpNF linter says that the LHS can be simplified via `List.mem_map`.
-- However this is a higher priority lemma.
-- https://github.com/leanprover/std4/issues/207
@[simp 1100, nolint simpNF]
theorem mem_map_of_injective {f : α → β} (H : Injective f) {a : α} {l : List α} :
f a ∈ map f l ↔ a ∈ l :=
⟨fun m => let ⟨_, m', e⟩ := exists_of_mem_map m; H e ▸ m', mem_map_of_mem _⟩
#align list.mem_map_of_injective List.mem_map_of_injective
@[simp]
theorem _root_.Function.Involutive.exists_mem_and_apply_eq_iff {f : α → α}
(hf : Function.Involutive f) (x : α) (l : List α) : (∃ y : α, y ∈ l ∧ f y = x) ↔ f x ∈ l :=
⟨by rintro ⟨y, h, rfl⟩; rwa [hf y], fun h => ⟨f x, h, hf _⟩⟩
#align function.involutive.exists_mem_and_apply_eq_iff Function.Involutive.exists_mem_and_apply_eq_iff
theorem mem_map_of_involutive {f : α → α} (hf : Involutive f) {a : α} {l : List α} :
a ∈ map f l ↔ f a ∈ l := by rw [mem_map, hf.exists_mem_and_apply_eq_iff]
#align list.mem_map_of_involutive List.mem_map_of_involutive
#align list.forall_mem_map_iff List.forall_mem_map_iffₓ -- universe order
#align list.map_eq_nil List.map_eq_nilₓ -- universe order
attribute [simp] List.mem_join
#align list.mem_join List.mem_join
#align list.exists_of_mem_join List.exists_of_mem_join
#align list.mem_join_of_mem List.mem_join_of_memₓ -- implicits order
attribute [simp] List.mem_bind
#align list.mem_bind List.mem_bindₓ -- implicits order
-- Porting note: bExists in Lean3, And in Lean4
#align list.exists_of_mem_bind List.exists_of_mem_bindₓ -- implicits order
#align list.mem_bind_of_mem List.mem_bind_of_memₓ -- implicits order
#align list.bind_map List.bind_mapₓ -- implicits order
theorem map_bind (g : β → List γ) (f : α → β) :
∀ l : List α, (List.map f l).bind g = l.bind fun a => g (f a)
| [] => rfl
| a :: l => by simp only [cons_bind, map_cons, map_bind _ _ l]
#align list.map_bind List.map_bind
#align list.length_eq_zero List.length_eq_zero
#align list.length_singleton List.length_singleton
#align list.length_pos_of_mem List.length_pos_of_mem
#align list.exists_mem_of_length_pos List.exists_mem_of_length_pos
#align list.length_pos_iff_exists_mem List.length_pos_iff_exists_mem
alias ⟨ne_nil_of_length_pos, length_pos_of_ne_nil⟩ := length_pos
#align list.ne_nil_of_length_pos List.ne_nil_of_length_pos
#align list.length_pos_of_ne_nil List.length_pos_of_ne_nil
theorem length_pos_iff_ne_nil {l : List α} : 0 < length l ↔ l ≠ [] :=
⟨ne_nil_of_length_pos, length_pos_of_ne_nil⟩
#align list.length_pos_iff_ne_nil List.length_pos_iff_ne_nil
#align list.exists_mem_of_ne_nil List.exists_mem_of_ne_nil
#align list.length_eq_one List.length_eq_one
theorem exists_of_length_succ {n} : ∀ l : List α, l.length = n + 1 → ∃ h t, l = h :: t
| [], H => absurd H.symm <| succ_ne_zero n
| h :: t, _ => ⟨h, t, rfl⟩
#align list.exists_of_length_succ List.exists_of_length_succ
@[simp] lemma length_injective_iff : Injective (List.length : List α → ℕ) ↔ Subsingleton α := by
constructor
· intro h; refine ⟨fun x y => ?_⟩; (suffices [x] = [y] by simpa using this); apply h; rfl
· intros hα l1 l2 hl
induction l1 generalizing l2 <;> cases l2
· rfl
· cases hl
· cases hl
· next ih _ _ =>
congr
· exact Subsingleton.elim _ _
· apply ih; simpa using hl
#align list.length_injective_iff List.length_injective_iff
@[simp default+1] -- Porting note: this used to be just @[simp]
lemma length_injective [Subsingleton α] : Injective (length : List α → ℕ) :=
length_injective_iff.mpr inferInstance
#align list.length_injective List.length_injective
theorem length_eq_two {l : List α} : l.length = 2 ↔ ∃ a b, l = [a, b] :=
⟨fun _ => let [a, b] := l; ⟨a, b, rfl⟩, fun ⟨_, _, e⟩ => e ▸ rfl⟩
#align list.length_eq_two List.length_eq_two
theorem length_eq_three {l : List α} : l.length = 3 ↔ ∃ a b c, l = [a, b, c] :=
⟨fun _ => let [a, b, c] := l; ⟨a, b, c, rfl⟩, fun ⟨_, _, _, e⟩ => e ▸ rfl⟩
#align list.length_eq_three List.length_eq_three
#align list.sublist.length_le List.Sublist.length_le
-- ADHOC Porting note: instance from Lean3 core
instance instSingletonList : Singleton α (List α) := ⟨fun x => [x]⟩
#align list.has_singleton List.instSingletonList
-- ADHOC Porting note: instance from Lean3 core
instance [DecidableEq α] : Insert α (List α) := ⟨List.insert⟩
-- ADHOC Porting note: instance from Lean3 core
instance [DecidableEq α] : LawfulSingleton α (List α) :=
{ insert_emptyc_eq := fun x =>
show (if x ∈ ([] : List α) then [] else [x]) = [x] from if_neg (not_mem_nil _) }
#align list.empty_eq List.empty_eq
theorem singleton_eq (x : α) : ({x} : List α) = [x] :=
rfl
#align list.singleton_eq List.singleton_eq
theorem insert_neg [DecidableEq α] {x : α} {l : List α} (h : x ∉ l) :
Insert.insert x l = x :: l :=
insert_of_not_mem h
#align list.insert_neg List.insert_neg
theorem insert_pos [DecidableEq α] {x : α} {l : List α} (h : x ∈ l) : Insert.insert x l = l :=
insert_of_mem h
#align list.insert_pos List.insert_pos
theorem doubleton_eq [DecidableEq α] {x y : α} (h : x ≠ y) : ({x, y} : List α) = [x, y] := by
rw [insert_neg, singleton_eq]
rwa [singleton_eq, mem_singleton]
#align list.doubleton_eq List.doubleton_eq
#align list.forall_mem_nil List.forall_mem_nil
#align list.forall_mem_cons List.forall_mem_cons
theorem forall_mem_of_forall_mem_cons {p : α → Prop} {a : α} {l : List α} (h : ∀ x ∈ a :: l, p x) :
∀ x ∈ l, p x := (forall_mem_cons.1 h).2
#align list.forall_mem_of_forall_mem_cons List.forall_mem_of_forall_mem_cons
#align list.forall_mem_singleton List.forall_mem_singleton
#align list.forall_mem_append List.forall_mem_append
#align list.not_exists_mem_nil List.not_exists_mem_nilₓ -- bExists change
-- Porting note: bExists in Lean3 and And in Lean4
theorem exists_mem_cons_of {p : α → Prop} {a : α} (l : List α) (h : p a) : ∃ x ∈ a :: l, p x :=
⟨a, mem_cons_self _ _, h⟩
#align list.exists_mem_cons_of List.exists_mem_cons_ofₓ -- bExists change
-- Porting note: bExists in Lean3 and And in Lean4
theorem exists_mem_cons_of_exists {p : α → Prop} {a : α} {l : List α} : (∃ x ∈ l, p x) →
∃ x ∈ a :: l, p x :=
fun ⟨x, xl, px⟩ => ⟨x, mem_cons_of_mem _ xl, px⟩
#align list.exists_mem_cons_of_exists List.exists_mem_cons_of_existsₓ -- bExists change
-- Porting note: bExists in Lean3 and And in Lean4
theorem or_exists_of_exists_mem_cons {p : α → Prop} {a : α} {l : List α} : (∃ x ∈ a :: l, p x) →
p a ∨ ∃ x ∈ l, p x :=
fun ⟨x, xal, px⟩ =>
Or.elim (eq_or_mem_of_mem_cons xal) (fun h : x = a => by rw [← h]; left; exact px)
fun h : x ∈ l => Or.inr ⟨x, h, px⟩
#align list.or_exists_of_exists_mem_cons List.or_exists_of_exists_mem_consₓ -- bExists change
theorem exists_mem_cons_iff (p : α → Prop) (a : α) (l : List α) :
(∃ x ∈ a :: l, p x) ↔ p a ∨ ∃ x ∈ l, p x :=
Iff.intro or_exists_of_exists_mem_cons fun h =>
Or.elim h (exists_mem_cons_of l) exists_mem_cons_of_exists
#align list.exists_mem_cons_iff List.exists_mem_cons_iff
instance : IsTrans (List α) Subset where
trans := fun _ _ _ => List.Subset.trans
#align list.subset_def List.subset_def
#align list.subset_append_of_subset_left List.subset_append_of_subset_left
#align list.subset_append_of_subset_right List.subset_append_of_subset_right
#align list.cons_subset List.cons_subset
theorem cons_subset_of_subset_of_mem {a : α} {l m : List α}
(ainm : a ∈ m) (lsubm : l ⊆ m) : a::l ⊆ m :=
cons_subset.2 ⟨ainm, lsubm⟩
#align list.cons_subset_of_subset_of_mem List.cons_subset_of_subset_of_mem
theorem append_subset_of_subset_of_subset {l₁ l₂ l : List α} (l₁subl : l₁ ⊆ l) (l₂subl : l₂ ⊆ l) :
l₁ ++ l₂ ⊆ l :=
fun _ h ↦ (mem_append.1 h).elim (@l₁subl _) (@l₂subl _)
#align list.append_subset_of_subset_of_subset List.append_subset_of_subset_of_subset
-- Porting note: in Batteries
#align list.append_subset_iff List.append_subset
alias ⟨eq_nil_of_subset_nil, _⟩ := subset_nil
#align list.eq_nil_of_subset_nil List.eq_nil_of_subset_nil
#align list.eq_nil_iff_forall_not_mem List.eq_nil_iff_forall_not_mem
#align list.map_subset List.map_subset
theorem map_subset_iff {l₁ l₂ : List α} (f : α → β) (h : Injective f) :
map f l₁ ⊆ map f l₂ ↔ l₁ ⊆ l₂ := by
refine ⟨?_, map_subset f⟩; intro h2 x hx
rcases mem_map.1 (h2 (mem_map_of_mem f hx)) with ⟨x', hx', hxx'⟩
cases h hxx'; exact hx'
#align list.map_subset_iff List.map_subset_iff
theorem append_eq_has_append {L₁ L₂ : List α} : List.append L₁ L₂ = L₁ ++ L₂ :=
rfl
#align list.append_eq_has_append List.append_eq_has_append
#align list.singleton_append List.singleton_append
#align list.append_ne_nil_of_ne_nil_left List.append_ne_nil_of_ne_nil_left
#align list.append_ne_nil_of_ne_nil_right List.append_ne_nil_of_ne_nil_right
#align list.append_eq_nil List.append_eq_nil
-- Porting note: in Batteries
#align list.nil_eq_append_iff List.nil_eq_append
@[deprecated (since := "2024-03-24")] alias append_eq_cons_iff := append_eq_cons
#align list.append_eq_cons_iff List.append_eq_cons
@[deprecated (since := "2024-03-24")] alias cons_eq_append_iff := cons_eq_append
#align list.cons_eq_append_iff List.cons_eq_append
#align list.append_eq_append_iff List.append_eq_append_iff
#align list.take_append_drop List.take_append_drop
#align list.append_inj List.append_inj
#align list.append_inj_right List.append_inj_rightₓ -- implicits order
#align list.append_inj_left List.append_inj_leftₓ -- implicits order
#align list.append_inj' List.append_inj'ₓ -- implicits order
#align list.append_inj_right' List.append_inj_right'ₓ -- implicits order
#align list.append_inj_left' List.append_inj_left'ₓ -- implicits order
@[deprecated (since := "2024-01-18")] alias append_left_cancel := append_cancel_left
#align list.append_left_cancel List.append_cancel_left
@[deprecated (since := "2024-01-18")] alias append_right_cancel := append_cancel_right
#align list.append_right_cancel List.append_cancel_right
@[simp] theorem append_left_eq_self {x y : List α} : x ++ y = y ↔ x = [] := by
rw [← append_left_inj (s₁ := x), nil_append]
@[simp] theorem self_eq_append_left {x y : List α} : y = x ++ y ↔ x = [] := by
rw [eq_comm, append_left_eq_self]
@[simp] theorem append_right_eq_self {x y : List α} : x ++ y = x ↔ y = [] := by
rw [← append_right_inj (t₁ := y), append_nil]
@[simp] theorem self_eq_append_right {x y : List α} : x = x ++ y ↔ y = [] := by
rw [eq_comm, append_right_eq_self]
theorem append_right_injective (s : List α) : Injective fun t ↦ s ++ t :=
fun _ _ ↦ append_cancel_left
#align list.append_right_injective List.append_right_injective
#align list.append_right_inj List.append_right_inj
theorem append_left_injective (t : List α) : Injective fun s ↦ s ++ t :=
fun _ _ ↦ append_cancel_right
#align list.append_left_injective List.append_left_injective
#align list.append_left_inj List.append_left_inj
#align list.map_eq_append_split List.map_eq_append_split
@[simp] lemma replicate_zero (a : α) : replicate 0 a = [] := rfl
#align list.replicate_zero List.replicate_zero
attribute [simp] replicate_succ
#align list.replicate_succ List.replicate_succ
lemma replicate_one (a : α) : replicate 1 a = [a] := rfl
#align list.replicate_one List.replicate_one
#align list.length_replicate List.length_replicate
#align list.mem_replicate List.mem_replicate
#align list.eq_of_mem_replicate List.eq_of_mem_replicate
theorem eq_replicate_length {a : α} : ∀ {l : List α}, l = replicate l.length a ↔ ∀ b ∈ l, b = a
| [] => by simp
| (b :: l) => by simp [eq_replicate_length]
#align list.eq_replicate_length List.eq_replicate_length
#align list.eq_replicate_of_mem List.eq_replicate_of_mem
#align list.eq_replicate List.eq_replicate
theorem replicate_add (m n) (a : α) : replicate (m + n) a = replicate m a ++ replicate n a := by
induction m <;> simp [*, succ_add, replicate]
#align list.replicate_add List.replicate_add
theorem replicate_succ' (n) (a : α) : replicate (n + 1) a = replicate n a ++ [a] :=
replicate_add n 1 a
#align list.replicate_succ' List.replicate_succ'
theorem replicate_subset_singleton (n) (a : α) : replicate n a ⊆ [a] := fun _ h =>
mem_singleton.2 (eq_of_mem_replicate h)
#align list.replicate_subset_singleton List.replicate_subset_singleton
theorem subset_singleton_iff {a : α} {L : List α} : L ⊆ [a] ↔ ∃ n, L = replicate n a := by
simp only [eq_replicate, subset_def, mem_singleton, exists_eq_left']
#align list.subset_singleton_iff List.subset_singleton_iff
@[simp] theorem map_replicate (f : α → β) (n) (a : α) :
map f (replicate n a) = replicate n (f a) := by
induction n <;> [rfl; simp only [*, replicate, map]]
#align list.map_replicate List.map_replicate
@[simp] theorem tail_replicate (a : α) (n) :
tail (replicate n a) = replicate (n - 1) a := by cases n <;> rfl
#align list.tail_replicate List.tail_replicate
@[simp] theorem join_replicate_nil (n : ℕ) : join (replicate n []) = @nil α := by
induction n <;> [rfl; simp only [*, replicate, join, append_nil]]
#align list.join_replicate_nil List.join_replicate_nil
theorem replicate_right_injective {n : ℕ} (hn : n ≠ 0) : Injective (@replicate α n) :=
fun _ _ h => (eq_replicate.1 h).2 _ <| mem_replicate.2 ⟨hn, rfl⟩
#align list.replicate_right_injective List.replicate_right_injective
theorem replicate_right_inj {a b : α} {n : ℕ} (hn : n ≠ 0) :
replicate n a = replicate n b ↔ a = b :=
(replicate_right_injective hn).eq_iff
#align list.replicate_right_inj List.replicate_right_inj
@[simp] theorem replicate_right_inj' {a b : α} : ∀ {n},
replicate n a = replicate n b ↔ n = 0 ∨ a = b
| 0 => by simp
| n + 1 => (replicate_right_inj n.succ_ne_zero).trans <| by simp only [n.succ_ne_zero, false_or]
#align list.replicate_right_inj' List.replicate_right_inj'
theorem replicate_left_injective (a : α) : Injective (replicate · a) :=
LeftInverse.injective (length_replicate · a)
#align list.replicate_left_injective List.replicate_left_injective
@[simp] theorem replicate_left_inj {a : α} {n m : ℕ} : replicate n a = replicate m a ↔ n = m :=
(replicate_left_injective a).eq_iff
#align list.replicate_left_inj List.replicate_left_inj
@[simp] theorem head_replicate (n : ℕ) (a : α) (h) : head (replicate n a) h = a := by
cases n <;> simp at h ⊢
theorem mem_pure (x y : α) : x ∈ (pure y : List α) ↔ x = y := by simp
#align list.mem_pure List.mem_pure
@[simp]
theorem bind_eq_bind {α β} (f : α → List β) (l : List α) : l >>= f = l.bind f :=
rfl
#align list.bind_eq_bind List.bind_eq_bind
#align list.bind_append List.append_bind
#align list.concat_nil List.concat_nil
#align list.concat_cons List.concat_cons
#align list.concat_eq_append List.concat_eq_append
#align list.init_eq_of_concat_eq List.init_eq_of_concat_eq
#align list.last_eq_of_concat_eq List.last_eq_of_concat_eq
#align list.concat_ne_nil List.concat_ne_nil
#align list.concat_append List.concat_append
#align list.length_concat List.length_concat
#align list.append_concat List.append_concat
#align list.reverse_nil List.reverse_nil
#align list.reverse_core List.reverseAux
-- Porting note: Do we need this?
attribute [local simp] reverseAux
#align list.reverse_cons List.reverse_cons
#align list.reverse_core_eq List.reverseAux_eq
theorem reverse_cons' (a : α) (l : List α) : reverse (a :: l) = concat (reverse l) a := by
simp only [reverse_cons, concat_eq_append]
#align list.reverse_cons' List.reverse_cons'
theorem reverse_concat' (l : List α) (a : α) : (l ++ [a]).reverse = a :: l.reverse := by
rw [reverse_append]; rfl
-- Porting note (#10618): simp can prove this
-- @[simp]
theorem reverse_singleton (a : α) : reverse [a] = [a] :=
rfl
#align list.reverse_singleton List.reverse_singleton
#align list.reverse_append List.reverse_append
#align list.reverse_concat List.reverse_concat
#align list.reverse_reverse List.reverse_reverse
@[simp]
theorem reverse_involutive : Involutive (@reverse α) :=
reverse_reverse
#align list.reverse_involutive List.reverse_involutive
@[simp]
theorem reverse_injective : Injective (@reverse α) :=
reverse_involutive.injective
#align list.reverse_injective List.reverse_injective
theorem reverse_surjective : Surjective (@reverse α) :=
reverse_involutive.surjective
#align list.reverse_surjective List.reverse_surjective
theorem reverse_bijective : Bijective (@reverse α) :=
reverse_involutive.bijective
#align list.reverse_bijective List.reverse_bijective
@[simp]
theorem reverse_inj {l₁ l₂ : List α} : reverse l₁ = reverse l₂ ↔ l₁ = l₂ :=
reverse_injective.eq_iff
#align list.reverse_inj List.reverse_inj
theorem reverse_eq_iff {l l' : List α} : l.reverse = l' ↔ l = l'.reverse :=
reverse_involutive.eq_iff
#align list.reverse_eq_iff List.reverse_eq_iff
#align list.reverse_eq_nil List.reverse_eq_nil_iff
theorem concat_eq_reverse_cons (a : α) (l : List α) : concat l a = reverse (a :: reverse l) := by
simp only [concat_eq_append, reverse_cons, reverse_reverse]
#align list.concat_eq_reverse_cons List.concat_eq_reverse_cons
#align list.length_reverse List.length_reverse
-- Porting note: This one was @[simp] in mathlib 3,
-- but Lean contains a competing simp lemma reverse_map.
-- For now we remove @[simp] to avoid simplification loops.
-- TODO: Change Lean lemma to match mathlib 3?
theorem map_reverse (f : α → β) (l : List α) : map f (reverse l) = reverse (map f l) :=
(reverse_map f l).symm
#align list.map_reverse List.map_reverse
| Mathlib/Data/List/Basic.lean | 588 | 590 | theorem map_reverseAux (f : α → β) (l₁ l₂ : List α) :
map f (reverseAux l₁ l₂) = reverseAux (map f l₁) (map f l₂) := by |
simp only [reverseAux_eq, map_append, map_reverse]
|
import Mathlib.Order.Filter.SmallSets
import Mathlib.Tactic.Monotonicity
import Mathlib.Topology.Compactness.Compact
import Mathlib.Topology.NhdsSet
import Mathlib.Algebra.Group.Defs
#align_import topology.uniform_space.basic from "leanprover-community/mathlib"@"195fcd60ff2bfe392543bceb0ec2adcdb472db4c"
open Set Filter Topology
universe u v ua ub uc ud
variable {α : Type ua} {β : Type ub} {γ : Type uc} {δ : Type ud} {ι : Sort*}
def idRel {α : Type*} :=
{ p : α × α | p.1 = p.2 }
#align id_rel idRel
@[simp]
theorem mem_idRel {a b : α} : (a, b) ∈ @idRel α ↔ a = b :=
Iff.rfl
#align mem_id_rel mem_idRel
@[simp]
theorem idRel_subset {s : Set (α × α)} : idRel ⊆ s ↔ ∀ a, (a, a) ∈ s := by
simp [subset_def]
#align id_rel_subset idRel_subset
def compRel (r₁ r₂ : Set (α × α)) :=
{ p : α × α | ∃ z : α, (p.1, z) ∈ r₁ ∧ (z, p.2) ∈ r₂ }
#align comp_rel compRel
@[inherit_doc]
scoped[Uniformity] infixl:62 " ○ " => compRel
open Uniformity
@[simp]
theorem mem_compRel {α : Type u} {r₁ r₂ : Set (α × α)} {x y : α} :
(x, y) ∈ r₁ ○ r₂ ↔ ∃ z, (x, z) ∈ r₁ ∧ (z, y) ∈ r₂ :=
Iff.rfl
#align mem_comp_rel mem_compRel
@[simp]
theorem swap_idRel : Prod.swap '' idRel = @idRel α :=
Set.ext fun ⟨a, b⟩ => by simpa [image_swap_eq_preimage_swap] using eq_comm
#align swap_id_rel swap_idRel
theorem Monotone.compRel [Preorder β] {f g : β → Set (α × α)} (hf : Monotone f) (hg : Monotone g) :
Monotone fun x => f x ○ g x := fun _ _ h _ ⟨z, h₁, h₂⟩ => ⟨z, hf h h₁, hg h h₂⟩
#align monotone.comp_rel Monotone.compRel
@[mono]
theorem compRel_mono {f g h k : Set (α × α)} (h₁ : f ⊆ h) (h₂ : g ⊆ k) : f ○ g ⊆ h ○ k :=
fun _ ⟨z, h, h'⟩ => ⟨z, h₁ h, h₂ h'⟩
#align comp_rel_mono compRel_mono
theorem prod_mk_mem_compRel {a b c : α} {s t : Set (α × α)} (h₁ : (a, c) ∈ s) (h₂ : (c, b) ∈ t) :
(a, b) ∈ s ○ t :=
⟨c, h₁, h₂⟩
#align prod_mk_mem_comp_rel prod_mk_mem_compRel
@[simp]
theorem id_compRel {r : Set (α × α)} : idRel ○ r = r :=
Set.ext fun ⟨a, b⟩ => by simp
#align id_comp_rel id_compRel
theorem compRel_assoc {r s t : Set (α × α)} : r ○ s ○ t = r ○ (s ○ t) := by
ext ⟨a, b⟩; simp only [mem_compRel]; tauto
#align comp_rel_assoc compRel_assoc
theorem left_subset_compRel {s t : Set (α × α)} (h : idRel ⊆ t) : s ⊆ s ○ t := fun ⟨_x, y⟩ xy_in =>
⟨y, xy_in, h <| rfl⟩
#align left_subset_comp_rel left_subset_compRel
theorem right_subset_compRel {s t : Set (α × α)} (h : idRel ⊆ s) : t ⊆ s ○ t := fun ⟨x, _y⟩ xy_in =>
⟨x, h <| rfl, xy_in⟩
#align right_subset_comp_rel right_subset_compRel
theorem subset_comp_self {s : Set (α × α)} (h : idRel ⊆ s) : s ⊆ s ○ s :=
left_subset_compRel h
#align subset_comp_self subset_comp_self
theorem subset_iterate_compRel {s t : Set (α × α)} (h : idRel ⊆ s) (n : ℕ) :
t ⊆ (s ○ ·)^[n] t := by
induction' n with n ihn generalizing t
exacts [Subset.rfl, (right_subset_compRel h).trans ihn]
#align subset_iterate_comp_rel subset_iterate_compRel
def SymmetricRel (V : Set (α × α)) : Prop :=
Prod.swap ⁻¹' V = V
#align symmetric_rel SymmetricRel
def symmetrizeRel (V : Set (α × α)) : Set (α × α) :=
V ∩ Prod.swap ⁻¹' V
#align symmetrize_rel symmetrizeRel
theorem symmetric_symmetrizeRel (V : Set (α × α)) : SymmetricRel (symmetrizeRel V) := by
simp [SymmetricRel, symmetrizeRel, preimage_inter, inter_comm, ← preimage_comp]
#align symmetric_symmetrize_rel symmetric_symmetrizeRel
theorem symmetrizeRel_subset_self (V : Set (α × α)) : symmetrizeRel V ⊆ V :=
sep_subset _ _
#align symmetrize_rel_subset_self symmetrizeRel_subset_self
@[mono]
theorem symmetrize_mono {V W : Set (α × α)} (h : V ⊆ W) : symmetrizeRel V ⊆ symmetrizeRel W :=
inter_subset_inter h <| preimage_mono h
#align symmetrize_mono symmetrize_mono
theorem SymmetricRel.mk_mem_comm {V : Set (α × α)} (hV : SymmetricRel V) {x y : α} :
(x, y) ∈ V ↔ (y, x) ∈ V :=
Set.ext_iff.1 hV (y, x)
#align symmetric_rel.mk_mem_comm SymmetricRel.mk_mem_comm
theorem SymmetricRel.eq {U : Set (α × α)} (hU : SymmetricRel U) : Prod.swap ⁻¹' U = U :=
hU
#align symmetric_rel.eq SymmetricRel.eq
theorem SymmetricRel.inter {U V : Set (α × α)} (hU : SymmetricRel U) (hV : SymmetricRel V) :
SymmetricRel (U ∩ V) := by rw [SymmetricRel, preimage_inter, hU.eq, hV.eq]
#align symmetric_rel.inter SymmetricRel.inter
structure UniformSpace.Core (α : Type u) where
uniformity : Filter (α × α)
refl : 𝓟 idRel ≤ uniformity
symm : Tendsto Prod.swap uniformity uniformity
comp : (uniformity.lift' fun s => s ○ s) ≤ uniformity
#align uniform_space.core UniformSpace.Core
protected theorem UniformSpace.Core.comp_mem_uniformity_sets {c : Core α} {s : Set (α × α)}
(hs : s ∈ c.uniformity) : ∃ t ∈ c.uniformity, t ○ t ⊆ s :=
(mem_lift'_sets <| monotone_id.compRel monotone_id).mp <| c.comp hs
def UniformSpace.Core.mk' {α : Type u} (U : Filter (α × α)) (refl : ∀ r ∈ U, ∀ (x), (x, x) ∈ r)
(symm : ∀ r ∈ U, Prod.swap ⁻¹' r ∈ U) (comp : ∀ r ∈ U, ∃ t ∈ U, t ○ t ⊆ r) :
UniformSpace.Core α :=
⟨U, fun _r ru => idRel_subset.2 (refl _ ru), symm, fun _r ru =>
let ⟨_s, hs, hsr⟩ := comp _ ru
mem_of_superset (mem_lift' hs) hsr⟩
#align uniform_space.core.mk' UniformSpace.Core.mk'
def UniformSpace.Core.mkOfBasis {α : Type u} (B : FilterBasis (α × α))
(refl : ∀ r ∈ B, ∀ (x), (x, x) ∈ r) (symm : ∀ r ∈ B, ∃ t ∈ B, t ⊆ Prod.swap ⁻¹' r)
(comp : ∀ r ∈ B, ∃ t ∈ B, t ○ t ⊆ r) : UniformSpace.Core α where
uniformity := B.filter
refl := B.hasBasis.ge_iff.mpr fun _r ru => idRel_subset.2 <| refl _ ru
symm := (B.hasBasis.tendsto_iff B.hasBasis).mpr symm
comp := (HasBasis.le_basis_iff (B.hasBasis.lift' (monotone_id.compRel monotone_id))
B.hasBasis).2 comp
#align uniform_space.core.mk_of_basis UniformSpace.Core.mkOfBasis
def UniformSpace.Core.toTopologicalSpace {α : Type u} (u : UniformSpace.Core α) :
TopologicalSpace α :=
.mkOfNhds fun x ↦ .comap (Prod.mk x) u.uniformity
#align uniform_space.core.to_topological_space UniformSpace.Core.toTopologicalSpace
theorem UniformSpace.Core.ext :
∀ {u₁ u₂ : UniformSpace.Core α}, u₁.uniformity = u₂.uniformity → u₁ = u₂
| ⟨_, _, _, _⟩, ⟨_, _, _, _⟩, rfl => rfl
#align uniform_space.core_eq UniformSpace.Core.ext
theorem UniformSpace.Core.nhds_toTopologicalSpace {α : Type u} (u : Core α) (x : α) :
@nhds α u.toTopologicalSpace x = comap (Prod.mk x) u.uniformity := by
apply TopologicalSpace.nhds_mkOfNhds_of_hasBasis (fun _ ↦ (basis_sets _).comap _)
· exact fun a U hU ↦ u.refl hU rfl
· intro a U hU
rcases u.comp_mem_uniformity_sets hU with ⟨V, hV, hVU⟩
filter_upwards [preimage_mem_comap hV] with b hb
filter_upwards [preimage_mem_comap hV] with c hc
exact hVU ⟨b, hb, hc⟩
-- the topological structure is embedded in the uniform structure
-- to avoid instance diamond issues. See Note [forgetful inheritance].
class UniformSpace (α : Type u) extends TopologicalSpace α where
protected uniformity : Filter (α × α)
protected symm : Tendsto Prod.swap uniformity uniformity
protected comp : (uniformity.lift' fun s => s ○ s) ≤ uniformity
protected nhds_eq_comap_uniformity (x : α) : 𝓝 x = comap (Prod.mk x) uniformity
#align uniform_space UniformSpace
#noalign uniform_space.mk' -- Can't be a `match_pattern`, so not useful anymore
def uniformity (α : Type u) [UniformSpace α] : Filter (α × α) :=
@UniformSpace.uniformity α _
#align uniformity uniformity
scoped[Uniformity] notation "𝓤[" u "]" => @uniformity _ u
@[inherit_doc] -- Porting note (#11215): TODO: should we drop the `uniformity` def?
scoped[Uniformity] notation "𝓤" => uniformity
abbrev UniformSpace.ofCoreEq {α : Type u} (u : UniformSpace.Core α) (t : TopologicalSpace α)
(h : t = u.toTopologicalSpace) : UniformSpace α where
__ := u
toTopologicalSpace := t
nhds_eq_comap_uniformity x := by rw [h, u.nhds_toTopologicalSpace]
#align uniform_space.of_core_eq UniformSpace.ofCoreEq
abbrev UniformSpace.ofCore {α : Type u} (u : UniformSpace.Core α) : UniformSpace α :=
.ofCoreEq u _ rfl
#align uniform_space.of_core UniformSpace.ofCore
abbrev UniformSpace.toCore (u : UniformSpace α) : UniformSpace.Core α where
__ := u
refl := by
rintro U hU ⟨x, y⟩ (rfl : x = y)
have : Prod.mk x ⁻¹' U ∈ 𝓝 x := by
rw [UniformSpace.nhds_eq_comap_uniformity]
exact preimage_mem_comap hU
convert mem_of_mem_nhds this
theorem UniformSpace.toCore_toTopologicalSpace (u : UniformSpace α) :
u.toCore.toTopologicalSpace = u.toTopologicalSpace :=
TopologicalSpace.ext_nhds fun a ↦ by
rw [u.nhds_eq_comap_uniformity, u.toCore.nhds_toTopologicalSpace]
#align uniform_space.to_core_to_topological_space UniformSpace.toCore_toTopologicalSpace
@[deprecated UniformSpace.mk (since := "2024-03-20")]
def UniformSpace.ofNhdsEqComap (u : UniformSpace.Core α) (_t : TopologicalSpace α)
(h : ∀ x, 𝓝 x = u.uniformity.comap (Prod.mk x)) : UniformSpace α where
__ := u
nhds_eq_comap_uniformity := h
@[ext]
protected theorem UniformSpace.ext {u₁ u₂ : UniformSpace α} (h : 𝓤[u₁] = 𝓤[u₂]) : u₁ = u₂ := by
have : u₁.toTopologicalSpace = u₂.toTopologicalSpace := TopologicalSpace.ext_nhds fun x ↦ by
rw [u₁.nhds_eq_comap_uniformity, u₂.nhds_eq_comap_uniformity]
exact congr_arg (comap _) h
cases u₁; cases u₂; congr
#align uniform_space_eq UniformSpace.ext
protected theorem UniformSpace.ext_iff {u₁ u₂ : UniformSpace α} :
u₁ = u₂ ↔ ∀ s, s ∈ 𝓤[u₁] ↔ s ∈ 𝓤[u₂] :=
⟨fun h _ => h ▸ Iff.rfl, fun h => by ext; exact h _⟩
theorem UniformSpace.ofCoreEq_toCore (u : UniformSpace α) (t : TopologicalSpace α)
(h : t = u.toCore.toTopologicalSpace) : .ofCoreEq u.toCore t h = u :=
UniformSpace.ext rfl
#align uniform_space.of_core_eq_to_core UniformSpace.ofCoreEq_toCore
abbrev UniformSpace.replaceTopology {α : Type*} [i : TopologicalSpace α] (u : UniformSpace α)
(h : i = u.toTopologicalSpace) : UniformSpace α where
__ := u
toTopologicalSpace := i
nhds_eq_comap_uniformity x := by rw [h, u.nhds_eq_comap_uniformity]
#align uniform_space.replace_topology UniformSpace.replaceTopology
theorem UniformSpace.replaceTopology_eq {α : Type*} [i : TopologicalSpace α] (u : UniformSpace α)
(h : i = u.toTopologicalSpace) : u.replaceTopology h = u :=
UniformSpace.ext rfl
#align uniform_space.replace_topology_eq UniformSpace.replaceTopology_eq
-- Porting note: rfc: use `UniformSpace.Core.mkOfBasis`? This will change defeq here and there
def UniformSpace.ofFun {α : Type u} {β : Type v} [OrderedAddCommMonoid β]
(d : α → α → β) (refl : ∀ x, d x x = 0) (symm : ∀ x y, d x y = d y x)
(triangle : ∀ x y z, d x z ≤ d x y + d y z)
(half : ∀ ε > (0 : β), ∃ δ > (0 : β), ∀ x < δ, ∀ y < δ, x + y < ε) :
UniformSpace α :=
.ofCore
{ uniformity := ⨅ r > 0, 𝓟 { x | d x.1 x.2 < r }
refl := le_iInf₂ fun r hr => principal_mono.2 <| idRel_subset.2 fun x => by simpa [refl]
symm := tendsto_iInf_iInf fun r => tendsto_iInf_iInf fun _ => tendsto_principal_principal.2
fun x hx => by rwa [mem_setOf, symm]
comp := le_iInf₂ fun r hr => let ⟨δ, h0, hδr⟩ := half r hr; le_principal_iff.2 <|
mem_of_superset
(mem_lift' <| mem_iInf_of_mem δ <| mem_iInf_of_mem h0 <| mem_principal_self _)
fun (x, z) ⟨y, h₁, h₂⟩ => (triangle _ _ _).trans_lt (hδr _ h₁ _ h₂) }
#align uniform_space.of_fun UniformSpace.ofFun
theorem UniformSpace.hasBasis_ofFun {α : Type u} {β : Type v} [LinearOrderedAddCommMonoid β]
(h₀ : ∃ x : β, 0 < x) (d : α → α → β) (refl : ∀ x, d x x = 0) (symm : ∀ x y, d x y = d y x)
(triangle : ∀ x y z, d x z ≤ d x y + d y z)
(half : ∀ ε > (0 : β), ∃ δ > (0 : β), ∀ x < δ, ∀ y < δ, x + y < ε) :
𝓤[.ofFun d refl symm triangle half].HasBasis ((0 : β) < ·) (fun ε => { x | d x.1 x.2 < ε }) :=
hasBasis_biInf_principal'
(fun ε₁ h₁ ε₂ h₂ => ⟨min ε₁ ε₂, lt_min h₁ h₂, fun _x hx => lt_of_lt_of_le hx (min_le_left _ _),
fun _x hx => lt_of_lt_of_le hx (min_le_right _ _)⟩) h₀
#align uniform_space.has_basis_of_fun UniformSpace.hasBasis_ofFun
section UniformSpace
variable [UniformSpace α]
theorem nhds_eq_comap_uniformity {x : α} : 𝓝 x = (𝓤 α).comap (Prod.mk x) :=
UniformSpace.nhds_eq_comap_uniformity x
#align nhds_eq_comap_uniformity nhds_eq_comap_uniformity
theorem isOpen_uniformity {s : Set α} :
IsOpen s ↔ ∀ x ∈ s, { p : α × α | p.1 = x → p.2 ∈ s } ∈ 𝓤 α := by
simp only [isOpen_iff_mem_nhds, nhds_eq_comap_uniformity, mem_comap_prod_mk]
#align is_open_uniformity isOpen_uniformity
theorem refl_le_uniformity : 𝓟 idRel ≤ 𝓤 α :=
(@UniformSpace.toCore α _).refl
#align refl_le_uniformity refl_le_uniformity
instance uniformity.neBot [Nonempty α] : NeBot (𝓤 α) :=
diagonal_nonempty.principal_neBot.mono refl_le_uniformity
#align uniformity.ne_bot uniformity.neBot
theorem refl_mem_uniformity {x : α} {s : Set (α × α)} (h : s ∈ 𝓤 α) : (x, x) ∈ s :=
refl_le_uniformity h rfl
#align refl_mem_uniformity refl_mem_uniformity
theorem mem_uniformity_of_eq {x y : α} {s : Set (α × α)} (h : s ∈ 𝓤 α) (hx : x = y) : (x, y) ∈ s :=
refl_le_uniformity h hx
#align mem_uniformity_of_eq mem_uniformity_of_eq
theorem symm_le_uniformity : map (@Prod.swap α α) (𝓤 _) ≤ 𝓤 _ :=
UniformSpace.symm
#align symm_le_uniformity symm_le_uniformity
theorem comp_le_uniformity : ((𝓤 α).lift' fun s : Set (α × α) => s ○ s) ≤ 𝓤 α :=
UniformSpace.comp
#align comp_le_uniformity comp_le_uniformity
theorem lift'_comp_uniformity : ((𝓤 α).lift' fun s : Set (α × α) => s ○ s) = 𝓤 α :=
comp_le_uniformity.antisymm <| le_lift'.2 fun _s hs ↦ mem_of_superset hs <|
subset_comp_self <| idRel_subset.2 fun _ ↦ refl_mem_uniformity hs
theorem tendsto_swap_uniformity : Tendsto (@Prod.swap α α) (𝓤 α) (𝓤 α) :=
symm_le_uniformity
#align tendsto_swap_uniformity tendsto_swap_uniformity
theorem comp_mem_uniformity_sets {s : Set (α × α)} (hs : s ∈ 𝓤 α) : ∃ t ∈ 𝓤 α, t ○ t ⊆ s :=
(mem_lift'_sets <| monotone_id.compRel monotone_id).mp <| comp_le_uniformity hs
#align comp_mem_uniformity_sets comp_mem_uniformity_sets
theorem eventually_uniformity_iterate_comp_subset {s : Set (α × α)} (hs : s ∈ 𝓤 α) (n : ℕ) :
∀ᶠ t in (𝓤 α).smallSets, (t ○ ·)^[n] t ⊆ s := by
suffices ∀ᶠ t in (𝓤 α).smallSets, t ⊆ s ∧ (t ○ ·)^[n] t ⊆ s from (eventually_and.1 this).2
induction' n with n ihn generalizing s
· simpa
rcases comp_mem_uniformity_sets hs with ⟨t, htU, hts⟩
refine (ihn htU).mono fun U hU => ?_
rw [Function.iterate_succ_apply']
exact
⟨hU.1.trans <| (subset_comp_self <| refl_le_uniformity htU).trans hts,
(compRel_mono hU.1 hU.2).trans hts⟩
#align eventually_uniformity_iterate_comp_subset eventually_uniformity_iterate_comp_subset
theorem eventually_uniformity_comp_subset {s : Set (α × α)} (hs : s ∈ 𝓤 α) :
∀ᶠ t in (𝓤 α).smallSets, t ○ t ⊆ s :=
eventually_uniformity_iterate_comp_subset hs 1
#align eventually_uniformity_comp_subset eventually_uniformity_comp_subset
theorem Filter.Tendsto.uniformity_trans {l : Filter β} {f₁ f₂ f₃ : β → α}
(h₁₂ : Tendsto (fun x => (f₁ x, f₂ x)) l (𝓤 α))
(h₂₃ : Tendsto (fun x => (f₂ x, f₃ x)) l (𝓤 α)) : Tendsto (fun x => (f₁ x, f₃ x)) l (𝓤 α) := by
refine le_trans (le_lift'.2 fun s hs => mem_map.2 ?_) comp_le_uniformity
filter_upwards [mem_map.1 (h₁₂ hs), mem_map.1 (h₂₃ hs)] with x hx₁₂ hx₂₃ using ⟨_, hx₁₂, hx₂₃⟩
#align filter.tendsto.uniformity_trans Filter.Tendsto.uniformity_trans
theorem Filter.Tendsto.uniformity_symm {l : Filter β} {f : β → α × α} (h : Tendsto f l (𝓤 α)) :
Tendsto (fun x => ((f x).2, (f x).1)) l (𝓤 α) :=
tendsto_swap_uniformity.comp h
#align filter.tendsto.uniformity_symm Filter.Tendsto.uniformity_symm
theorem tendsto_diag_uniformity (f : β → α) (l : Filter β) :
Tendsto (fun x => (f x, f x)) l (𝓤 α) := fun _s hs =>
mem_map.2 <| univ_mem' fun _ => refl_mem_uniformity hs
#align tendsto_diag_uniformity tendsto_diag_uniformity
theorem tendsto_const_uniformity {a : α} {f : Filter β} : Tendsto (fun _ => (a, a)) f (𝓤 α) :=
tendsto_diag_uniformity (fun _ => a) f
#align tendsto_const_uniformity tendsto_const_uniformity
theorem symm_of_uniformity {s : Set (α × α)} (hs : s ∈ 𝓤 α) :
∃ t ∈ 𝓤 α, (∀ a b, (a, b) ∈ t → (b, a) ∈ t) ∧ t ⊆ s :=
have : preimage Prod.swap s ∈ 𝓤 α := symm_le_uniformity hs
⟨s ∩ preimage Prod.swap s, inter_mem hs this, fun _ _ ⟨h₁, h₂⟩ => ⟨h₂, h₁⟩, inter_subset_left⟩
#align symm_of_uniformity symm_of_uniformity
theorem comp_symm_of_uniformity {s : Set (α × α)} (hs : s ∈ 𝓤 α) :
∃ t ∈ 𝓤 α, (∀ {a b}, (a, b) ∈ t → (b, a) ∈ t) ∧ t ○ t ⊆ s :=
let ⟨_t, ht₁, ht₂⟩ := comp_mem_uniformity_sets hs
let ⟨t', ht', ht'₁, ht'₂⟩ := symm_of_uniformity ht₁
⟨t', ht', ht'₁ _ _, Subset.trans (monotone_id.compRel monotone_id ht'₂) ht₂⟩
#align comp_symm_of_uniformity comp_symm_of_uniformity
theorem uniformity_le_symm : 𝓤 α ≤ @Prod.swap α α <$> 𝓤 α := by
rw [map_swap_eq_comap_swap]; exact tendsto_swap_uniformity.le_comap
#align uniformity_le_symm uniformity_le_symm
theorem uniformity_eq_symm : 𝓤 α = @Prod.swap α α <$> 𝓤 α :=
le_antisymm uniformity_le_symm symm_le_uniformity
#align uniformity_eq_symm uniformity_eq_symm
@[simp]
theorem comap_swap_uniformity : comap (@Prod.swap α α) (𝓤 α) = 𝓤 α :=
(congr_arg _ uniformity_eq_symm).trans <| comap_map Prod.swap_injective
#align comap_swap_uniformity comap_swap_uniformity
theorem symmetrize_mem_uniformity {V : Set (α × α)} (h : V ∈ 𝓤 α) : symmetrizeRel V ∈ 𝓤 α := by
apply (𝓤 α).inter_sets h
rw [← image_swap_eq_preimage_swap, uniformity_eq_symm]
exact image_mem_map h
#align symmetrize_mem_uniformity symmetrize_mem_uniformity
theorem UniformSpace.hasBasis_symmetric :
(𝓤 α).HasBasis (fun s : Set (α × α) => s ∈ 𝓤 α ∧ SymmetricRel s) id :=
hasBasis_self.2 fun t t_in =>
⟨symmetrizeRel t, symmetrize_mem_uniformity t_in, symmetric_symmetrizeRel t,
symmetrizeRel_subset_self t⟩
#align uniform_space.has_basis_symmetric UniformSpace.hasBasis_symmetric
theorem uniformity_lift_le_swap {g : Set (α × α) → Filter β} {f : Filter β} (hg : Monotone g)
(h : ((𝓤 α).lift fun s => g (preimage Prod.swap s)) ≤ f) : (𝓤 α).lift g ≤ f :=
calc
(𝓤 α).lift g ≤ (Filter.map (@Prod.swap α α) <| 𝓤 α).lift g :=
lift_mono uniformity_le_symm le_rfl
_ ≤ _ := by rw [map_lift_eq2 hg, image_swap_eq_preimage_swap]; exact h
#align uniformity_lift_le_swap uniformity_lift_le_swap
theorem uniformity_lift_le_comp {f : Set (α × α) → Filter β} (h : Monotone f) :
((𝓤 α).lift fun s => f (s ○ s)) ≤ (𝓤 α).lift f :=
calc
((𝓤 α).lift fun s => f (s ○ s)) = ((𝓤 α).lift' fun s : Set (α × α) => s ○ s).lift f := by
rw [lift_lift'_assoc]
· exact monotone_id.compRel monotone_id
· exact h
_ ≤ (𝓤 α).lift f := lift_mono comp_le_uniformity le_rfl
#align uniformity_lift_le_comp uniformity_lift_le_comp
-- Porting note (#10756): new lemma
theorem comp3_mem_uniformity {s : Set (α × α)} (hs : s ∈ 𝓤 α) : ∃ t ∈ 𝓤 α, t ○ (t ○ t) ⊆ s :=
let ⟨_t', ht', ht's⟩ := comp_mem_uniformity_sets hs
let ⟨t, ht, htt'⟩ := comp_mem_uniformity_sets ht'
⟨t, ht, (compRel_mono ((subset_comp_self (refl_le_uniformity ht)).trans htt') htt').trans ht's⟩
theorem comp_le_uniformity3 : ((𝓤 α).lift' fun s : Set (α × α) => s ○ (s ○ s)) ≤ 𝓤 α := fun _ h =>
let ⟨_t, htU, ht⟩ := comp3_mem_uniformity h
mem_of_superset (mem_lift' htU) ht
#align comp_le_uniformity3 comp_le_uniformity3
theorem comp_symm_mem_uniformity_sets {s : Set (α × α)} (hs : s ∈ 𝓤 α) :
∃ t ∈ 𝓤 α, SymmetricRel t ∧ t ○ t ⊆ s := by
obtain ⟨w, w_in, w_sub⟩ : ∃ w ∈ 𝓤 α, w ○ w ⊆ s := comp_mem_uniformity_sets hs
use symmetrizeRel w, symmetrize_mem_uniformity w_in, symmetric_symmetrizeRel w
have : symmetrizeRel w ⊆ w := symmetrizeRel_subset_self w
calc symmetrizeRel w ○ symmetrizeRel w
_ ⊆ w ○ w := by mono
_ ⊆ s := w_sub
#align comp_symm_mem_uniformity_sets comp_symm_mem_uniformity_sets
theorem subset_comp_self_of_mem_uniformity {s : Set (α × α)} (h : s ∈ 𝓤 α) : s ⊆ s ○ s :=
subset_comp_self (refl_le_uniformity h)
#align subset_comp_self_of_mem_uniformity subset_comp_self_of_mem_uniformity
theorem comp_comp_symm_mem_uniformity_sets {s : Set (α × α)} (hs : s ∈ 𝓤 α) :
∃ t ∈ 𝓤 α, SymmetricRel t ∧ t ○ t ○ t ⊆ s := by
rcases comp_symm_mem_uniformity_sets hs with ⟨w, w_in, _, w_sub⟩
rcases comp_symm_mem_uniformity_sets w_in with ⟨t, t_in, t_symm, t_sub⟩
use t, t_in, t_symm
have : t ⊆ t ○ t := subset_comp_self_of_mem_uniformity t_in
-- Porting note: Needed the following `have`s to make `mono` work
have ht := Subset.refl t
have hw := Subset.refl w
calc
t ○ t ○ t ⊆ w ○ t := by mono
_ ⊆ w ○ (t ○ t) := by mono
_ ⊆ w ○ w := by mono
_ ⊆ s := w_sub
#align comp_comp_symm_mem_uniformity_sets comp_comp_symm_mem_uniformity_sets
def UniformSpace.ball (x : β) (V : Set (β × β)) : Set β :=
Prod.mk x ⁻¹' V
#align uniform_space.ball UniformSpace.ball
open UniformSpace (ball)
theorem UniformSpace.mem_ball_self (x : α) {V : Set (α × α)} (hV : V ∈ 𝓤 α) : x ∈ ball x V :=
refl_mem_uniformity hV
#align uniform_space.mem_ball_self UniformSpace.mem_ball_self
theorem mem_ball_comp {V W : Set (β × β)} {x y z} (h : y ∈ ball x V) (h' : z ∈ ball y W) :
z ∈ ball x (V ○ W) :=
prod_mk_mem_compRel h h'
#align mem_ball_comp mem_ball_comp
theorem ball_subset_of_comp_subset {V W : Set (β × β)} {x y} (h : x ∈ ball y W) (h' : W ○ W ⊆ V) :
ball x W ⊆ ball y V := fun _z z_in => h' (mem_ball_comp h z_in)
#align ball_subset_of_comp_subset ball_subset_of_comp_subset
theorem ball_mono {V W : Set (β × β)} (h : V ⊆ W) (x : β) : ball x V ⊆ ball x W :=
preimage_mono h
#align ball_mono ball_mono
theorem ball_inter (x : β) (V W : Set (β × β)) : ball x (V ∩ W) = ball x V ∩ ball x W :=
preimage_inter
#align ball_inter ball_inter
theorem ball_inter_left (x : β) (V W : Set (β × β)) : ball x (V ∩ W) ⊆ ball x V :=
ball_mono inter_subset_left x
#align ball_inter_left ball_inter_left
theorem ball_inter_right (x : β) (V W : Set (β × β)) : ball x (V ∩ W) ⊆ ball x W :=
ball_mono inter_subset_right x
#align ball_inter_right ball_inter_right
theorem mem_ball_symmetry {V : Set (β × β)} (hV : SymmetricRel V) {x y} :
x ∈ ball y V ↔ y ∈ ball x V :=
show (x, y) ∈ Prod.swap ⁻¹' V ↔ (x, y) ∈ V by
unfold SymmetricRel at hV
rw [hV]
#align mem_ball_symmetry mem_ball_symmetry
theorem ball_eq_of_symmetry {V : Set (β × β)} (hV : SymmetricRel V) {x} :
ball x V = { y | (y, x) ∈ V } := by
ext y
rw [mem_ball_symmetry hV]
exact Iff.rfl
#align ball_eq_of_symmetry ball_eq_of_symmetry
theorem mem_comp_of_mem_ball {V W : Set (β × β)} {x y z : β} (hV : SymmetricRel V)
(hx : x ∈ ball z V) (hy : y ∈ ball z W) : (x, y) ∈ V ○ W := by
rw [mem_ball_symmetry hV] at hx
exact ⟨z, hx, hy⟩
#align mem_comp_of_mem_ball mem_comp_of_mem_ball
theorem UniformSpace.isOpen_ball (x : α) {V : Set (α × α)} (hV : IsOpen V) : IsOpen (ball x V) :=
hV.preimage <| continuous_const.prod_mk continuous_id
#align uniform_space.is_open_ball UniformSpace.isOpen_ball
theorem UniformSpace.isClosed_ball (x : α) {V : Set (α × α)} (hV : IsClosed V) :
IsClosed (ball x V) :=
hV.preimage <| continuous_const.prod_mk continuous_id
theorem mem_comp_comp {V W M : Set (β × β)} (hW' : SymmetricRel W) {p : β × β} :
p ∈ V ○ M ○ W ↔ (ball p.1 V ×ˢ ball p.2 W ∩ M).Nonempty := by
cases' p with x y
constructor
· rintro ⟨z, ⟨w, hpw, hwz⟩, hzy⟩
exact ⟨(w, z), ⟨hpw, by rwa [mem_ball_symmetry hW']⟩, hwz⟩
· rintro ⟨⟨w, z⟩, ⟨w_in, z_in⟩, hwz⟩
rw [mem_ball_symmetry hW'] at z_in
exact ⟨z, ⟨w, w_in, hwz⟩, z_in⟩
#align mem_comp_comp mem_comp_comp
theorem mem_nhds_uniformity_iff_right {x : α} {s : Set α} :
s ∈ 𝓝 x ↔ { p : α × α | p.1 = x → p.2 ∈ s } ∈ 𝓤 α := by
simp only [nhds_eq_comap_uniformity, mem_comap_prod_mk]
#align mem_nhds_uniformity_iff_right mem_nhds_uniformity_iff_right
theorem mem_nhds_uniformity_iff_left {x : α} {s : Set α} :
s ∈ 𝓝 x ↔ { p : α × α | p.2 = x → p.1 ∈ s } ∈ 𝓤 α := by
rw [uniformity_eq_symm, mem_nhds_uniformity_iff_right]
simp only [map_def, mem_map, preimage_setOf_eq, Prod.snd_swap, Prod.fst_swap]
#align mem_nhds_uniformity_iff_left mem_nhds_uniformity_iff_left
theorem nhdsWithin_eq_comap_uniformity_of_mem {x : α} {T : Set α} (hx : x ∈ T) (S : Set α) :
𝓝[S] x = (𝓤 α ⊓ 𝓟 (T ×ˢ S)).comap (Prod.mk x) := by
simp [nhdsWithin, nhds_eq_comap_uniformity, hx]
theorem nhdsWithin_eq_comap_uniformity {x : α} (S : Set α) :
𝓝[S] x = (𝓤 α ⊓ 𝓟 (univ ×ˢ S)).comap (Prod.mk x) :=
nhdsWithin_eq_comap_uniformity_of_mem (mem_univ _) S
theorem isOpen_iff_ball_subset {s : Set α} : IsOpen s ↔ ∀ x ∈ s, ∃ V ∈ 𝓤 α, ball x V ⊆ s := by
simp_rw [isOpen_iff_mem_nhds, nhds_eq_comap_uniformity, mem_comap, ball]
#align is_open_iff_ball_subset isOpen_iff_ball_subset
theorem nhds_basis_uniformity' {p : ι → Prop} {s : ι → Set (α × α)} (h : (𝓤 α).HasBasis p s)
{x : α} : (𝓝 x).HasBasis p fun i => ball x (s i) := by
rw [nhds_eq_comap_uniformity]
exact h.comap (Prod.mk x)
#align nhds_basis_uniformity' nhds_basis_uniformity'
theorem nhds_basis_uniformity {p : ι → Prop} {s : ι → Set (α × α)} (h : (𝓤 α).HasBasis p s)
{x : α} : (𝓝 x).HasBasis p fun i => { y | (y, x) ∈ s i } := by
replace h := h.comap Prod.swap
rw [comap_swap_uniformity] at h
exact nhds_basis_uniformity' h
#align nhds_basis_uniformity nhds_basis_uniformity
theorem nhds_eq_comap_uniformity' {x : α} : 𝓝 x = (𝓤 α).comap fun y => (y, x) :=
(nhds_basis_uniformity (𝓤 α).basis_sets).eq_of_same_basis <| (𝓤 α).basis_sets.comap _
#align nhds_eq_comap_uniformity' nhds_eq_comap_uniformity'
theorem UniformSpace.mem_nhds_iff {x : α} {s : Set α} : s ∈ 𝓝 x ↔ ∃ V ∈ 𝓤 α, ball x V ⊆ s := by
rw [nhds_eq_comap_uniformity, mem_comap]
simp_rw [ball]
#align uniform_space.mem_nhds_iff UniformSpace.mem_nhds_iff
theorem UniformSpace.ball_mem_nhds (x : α) ⦃V : Set (α × α)⦄ (V_in : V ∈ 𝓤 α) : ball x V ∈ 𝓝 x := by
rw [UniformSpace.mem_nhds_iff]
exact ⟨V, V_in, Subset.rfl⟩
#align uniform_space.ball_mem_nhds UniformSpace.ball_mem_nhds
theorem UniformSpace.ball_mem_nhdsWithin {x : α} {S : Set α} ⦃V : Set (α × α)⦄ (x_in : x ∈ S)
(V_in : V ∈ 𝓤 α ⊓ 𝓟 (S ×ˢ S)) : ball x V ∈ 𝓝[S] x := by
rw [nhdsWithin_eq_comap_uniformity_of_mem x_in, mem_comap]
exact ⟨V, V_in, Subset.rfl⟩
theorem UniformSpace.mem_nhds_iff_symm {x : α} {s : Set α} :
s ∈ 𝓝 x ↔ ∃ V ∈ 𝓤 α, SymmetricRel V ∧ ball x V ⊆ s := by
rw [UniformSpace.mem_nhds_iff]
constructor
· rintro ⟨V, V_in, V_sub⟩
use symmetrizeRel V, symmetrize_mem_uniformity V_in, symmetric_symmetrizeRel V
exact Subset.trans (ball_mono (symmetrizeRel_subset_self V) x) V_sub
· rintro ⟨V, V_in, _, V_sub⟩
exact ⟨V, V_in, V_sub⟩
#align uniform_space.mem_nhds_iff_symm UniformSpace.mem_nhds_iff_symm
theorem UniformSpace.hasBasis_nhds (x : α) :
HasBasis (𝓝 x) (fun s : Set (α × α) => s ∈ 𝓤 α ∧ SymmetricRel s) fun s => ball x s :=
⟨fun t => by simp [UniformSpace.mem_nhds_iff_symm, and_assoc]⟩
#align uniform_space.has_basis_nhds UniformSpace.hasBasis_nhds
open UniformSpace
theorem UniformSpace.mem_closure_iff_symm_ball {s : Set α} {x} :
x ∈ closure s ↔ ∀ {V}, V ∈ 𝓤 α → SymmetricRel V → (s ∩ ball x V).Nonempty := by
simp [mem_closure_iff_nhds_basis (hasBasis_nhds x), Set.Nonempty]
#align uniform_space.mem_closure_iff_symm_ball UniformSpace.mem_closure_iff_symm_ball
theorem UniformSpace.mem_closure_iff_ball {s : Set α} {x} :
x ∈ closure s ↔ ∀ {V}, V ∈ 𝓤 α → (ball x V ∩ s).Nonempty := by
simp [mem_closure_iff_nhds_basis' (nhds_basis_uniformity' (𝓤 α).basis_sets)]
#align uniform_space.mem_closure_iff_ball UniformSpace.mem_closure_iff_ball
theorem UniformSpace.hasBasis_nhds_prod (x y : α) :
HasBasis (𝓝 (x, y)) (fun s => s ∈ 𝓤 α ∧ SymmetricRel s) fun s => ball x s ×ˢ ball y s := by
rw [nhds_prod_eq]
apply (hasBasis_nhds x).prod_same_index (hasBasis_nhds y)
rintro U V ⟨U_in, U_symm⟩ ⟨V_in, V_symm⟩
exact
⟨U ∩ V, ⟨(𝓤 α).inter_sets U_in V_in, U_symm.inter V_symm⟩, ball_inter_left x U V,
ball_inter_right y U V⟩
#align uniform_space.has_basis_nhds_prod UniformSpace.hasBasis_nhds_prod
theorem nhds_eq_uniformity {x : α} : 𝓝 x = (𝓤 α).lift' (ball x) :=
(nhds_basis_uniformity' (𝓤 α).basis_sets).eq_biInf
#align nhds_eq_uniformity nhds_eq_uniformity
theorem nhds_eq_uniformity' {x : α} : 𝓝 x = (𝓤 α).lift' fun s => { y | (y, x) ∈ s } :=
(nhds_basis_uniformity (𝓤 α).basis_sets).eq_biInf
#align nhds_eq_uniformity' nhds_eq_uniformity'
theorem mem_nhds_left (x : α) {s : Set (α × α)} (h : s ∈ 𝓤 α) : { y : α | (x, y) ∈ s } ∈ 𝓝 x :=
ball_mem_nhds x h
#align mem_nhds_left mem_nhds_left
theorem mem_nhds_right (y : α) {s : Set (α × α)} (h : s ∈ 𝓤 α) : { x : α | (x, y) ∈ s } ∈ 𝓝 y :=
mem_nhds_left _ (symm_le_uniformity h)
#align mem_nhds_right mem_nhds_right
theorem exists_mem_nhds_ball_subset_of_mem_nhds {a : α} {U : Set α} (h : U ∈ 𝓝 a) :
∃ V ∈ 𝓝 a, ∃ t ∈ 𝓤 α, ∀ a' ∈ V, UniformSpace.ball a' t ⊆ U :=
let ⟨t, ht, htU⟩ := comp_mem_uniformity_sets (mem_nhds_uniformity_iff_right.1 h)
⟨_, mem_nhds_left a ht, t, ht, fun a₁ h₁ a₂ h₂ => @htU (a, a₂) ⟨a₁, h₁, h₂⟩ rfl⟩
#align exists_mem_nhds_ball_subset_of_mem_nhds exists_mem_nhds_ball_subset_of_mem_nhds
theorem tendsto_right_nhds_uniformity {a : α} : Tendsto (fun a' => (a', a)) (𝓝 a) (𝓤 α) := fun _ =>
mem_nhds_right a
#align tendsto_right_nhds_uniformity tendsto_right_nhds_uniformity
theorem tendsto_left_nhds_uniformity {a : α} : Tendsto (fun a' => (a, a')) (𝓝 a) (𝓤 α) := fun _ =>
mem_nhds_left a
#align tendsto_left_nhds_uniformity tendsto_left_nhds_uniformity
theorem lift_nhds_left {x : α} {g : Set α → Filter β} (hg : Monotone g) :
(𝓝 x).lift g = (𝓤 α).lift fun s : Set (α × α) => g (ball x s) := by
rw [nhds_eq_comap_uniformity, comap_lift_eq2 hg]
simp_rw [ball, Function.comp]
#align lift_nhds_left lift_nhds_left
theorem lift_nhds_right {x : α} {g : Set α → Filter β} (hg : Monotone g) :
(𝓝 x).lift g = (𝓤 α).lift fun s : Set (α × α) => g { y | (y, x) ∈ s } := by
rw [nhds_eq_comap_uniformity', comap_lift_eq2 hg]
simp_rw [Function.comp, preimage]
#align lift_nhds_right lift_nhds_right
theorem nhds_nhds_eq_uniformity_uniformity_prod {a b : α} :
𝓝 a ×ˢ 𝓝 b = (𝓤 α).lift fun s : Set (α × α) =>
(𝓤 α).lift' fun t => { y : α | (y, a) ∈ s } ×ˢ { y : α | (b, y) ∈ t } := by
rw [nhds_eq_uniformity', nhds_eq_uniformity, prod_lift'_lift']
exacts [rfl, monotone_preimage, monotone_preimage]
#align nhds_nhds_eq_uniformity_uniformity_prod nhds_nhds_eq_uniformity_uniformity_prod
theorem nhds_eq_uniformity_prod {a b : α} :
𝓝 (a, b) =
(𝓤 α).lift' fun s : Set (α × α) => { y : α | (y, a) ∈ s } ×ˢ { y : α | (b, y) ∈ s } := by
rw [nhds_prod_eq, nhds_nhds_eq_uniformity_uniformity_prod, lift_lift'_same_eq_lift']
· exact fun s => monotone_const.set_prod monotone_preimage
· refine fun t => Monotone.set_prod ?_ monotone_const
exact monotone_preimage (f := fun y => (y, a))
#align nhds_eq_uniformity_prod nhds_eq_uniformity_prod
| Mathlib/Topology/UniformSpace/Basic.lean | 874 | 889 | theorem nhdset_of_mem_uniformity {d : Set (α × α)} (s : Set (α × α)) (hd : d ∈ 𝓤 α) :
∃ t : Set (α × α), IsOpen t ∧ s ⊆ t ∧
t ⊆ { p | ∃ x y, (p.1, x) ∈ d ∧ (x, y) ∈ s ∧ (y, p.2) ∈ d } := by |
let cl_d := { p : α × α | ∃ x y, (p.1, x) ∈ d ∧ (x, y) ∈ s ∧ (y, p.2) ∈ d }
have : ∀ p ∈ s, ∃ t, t ⊆ cl_d ∧ IsOpen t ∧ p ∈ t := fun ⟨x, y⟩ hp =>
mem_nhds_iff.mp <|
show cl_d ∈ 𝓝 (x, y) by
rw [nhds_eq_uniformity_prod, mem_lift'_sets]
· exact ⟨d, hd, fun ⟨a, b⟩ ⟨ha, hb⟩ => ⟨x, y, ha, hp, hb⟩⟩
· exact fun _ _ h _ h' => ⟨h h'.1, h h'.2⟩
choose t ht using this
exact ⟨(⋃ p : α × α, ⋃ h : p ∈ s, t p h : Set (α × α)),
isOpen_iUnion fun p : α × α => isOpen_iUnion fun hp => (ht p hp).right.left,
fun ⟨a, b⟩ hp => by
simp only [mem_iUnion, Prod.exists]; exact ⟨a, b, hp, (ht (a, b) hp).right.right⟩,
iUnion_subset fun p => iUnion_subset fun hp => (ht p hp).left⟩
|
import Mathlib.Data.ENat.Lattice
import Mathlib.Order.OrderIsoNat
import Mathlib.Tactic.TFAE
#align_import order.height from "leanprover-community/mathlib"@"bf27744463e9620ca4e4ebe951fe83530ae6949b"
open List hiding le_antisymm
open OrderDual
universe u v
variable {α β : Type*}
namespace Set
section LT
variable [LT α] [LT β] (s t : Set α)
def subchain : Set (List α) :=
{ l | l.Chain' (· < ·) ∧ ∀ i ∈ l, i ∈ s }
#align set.subchain Set.subchain
@[simp] -- porting note: new `simp`
theorem nil_mem_subchain : [] ∈ s.subchain := ⟨trivial, fun _ ↦ nofun⟩
#align set.nil_mem_subchain Set.nil_mem_subchain
variable {s} {l : List α} {a : α}
theorem cons_mem_subchain_iff :
(a::l) ∈ s.subchain ↔ a ∈ s ∧ l ∈ s.subchain ∧ ∀ b ∈ l.head?, a < b := by
simp only [subchain, mem_setOf_eq, forall_mem_cons, chain'_cons', and_left_comm, and_comm,
and_assoc]
#align set.cons_mem_subchain_iff Set.cons_mem_subchain_iff
@[simp] -- Porting note (#10756): new lemma + `simp`
theorem singleton_mem_subchain_iff : [a] ∈ s.subchain ↔ a ∈ s := by simp [cons_mem_subchain_iff]
instance : Nonempty s.subchain :=
⟨⟨[], s.nil_mem_subchain⟩⟩
variable (s)
noncomputable def chainHeight : ℕ∞ :=
⨆ l ∈ s.subchain, length l
#align set.chain_height Set.chainHeight
theorem chainHeight_eq_iSup_subtype : s.chainHeight = ⨆ l : s.subchain, ↑l.1.length :=
iSup_subtype'
#align set.chain_height_eq_supr_subtype Set.chainHeight_eq_iSup_subtype
theorem exists_chain_of_le_chainHeight {n : ℕ} (hn : ↑n ≤ s.chainHeight) :
∃ l ∈ s.subchain, length l = n := by
rcases (le_top : s.chainHeight ≤ ⊤).eq_or_lt with ha | ha <;>
rw [chainHeight_eq_iSup_subtype] at ha
· obtain ⟨_, ⟨⟨l, h₁, h₂⟩, rfl⟩, h₃⟩ :=
not_bddAbove_iff'.mp (WithTop.iSup_coe_eq_top.1 ha) n
exact ⟨l.take n, ⟨h₁.take _, fun x h ↦ h₂ _ <| take_subset _ _ h⟩,
(l.length_take n).trans <| min_eq_left <| le_of_not_ge h₃⟩
· rw [ENat.iSup_coe_lt_top] at ha
obtain ⟨⟨l, h₁, h₂⟩, e : l.length = _⟩ := Nat.sSup_mem (Set.range_nonempty _) ha
refine
⟨l.take n, ⟨h₁.take _, fun x h ↦ h₂ _ <| take_subset _ _ h⟩,
(l.length_take n).trans <| min_eq_left <| ?_⟩
rwa [e, ← Nat.cast_le (α := ℕ∞), sSup_range, ENat.coe_iSup ha, ← chainHeight_eq_iSup_subtype]
#align set.exists_chain_of_le_chain_height Set.exists_chain_of_le_chainHeight
theorem le_chainHeight_TFAE (n : ℕ) :
TFAE [↑n ≤ s.chainHeight, ∃ l ∈ s.subchain, length l = n, ∃ l ∈ s.subchain, n ≤ length l] := by
tfae_have 1 → 2; · exact s.exists_chain_of_le_chainHeight
tfae_have 2 → 3; · rintro ⟨l, hls, he⟩; exact ⟨l, hls, he.ge⟩
tfae_have 3 → 1; · rintro ⟨l, hs, hn⟩; exact le_iSup₂_of_le l hs (WithTop.coe_le_coe.2 hn)
tfae_finish
#align set.le_chain_height_tfae Set.le_chainHeight_TFAE
variable {s t}
theorem le_chainHeight_iff {n : ℕ} : ↑n ≤ s.chainHeight ↔ ∃ l ∈ s.subchain, length l = n :=
(le_chainHeight_TFAE s n).out 0 1
#align set.le_chain_height_iff Set.le_chainHeight_iff
theorem length_le_chainHeight_of_mem_subchain (hl : l ∈ s.subchain) : ↑l.length ≤ s.chainHeight :=
le_chainHeight_iff.mpr ⟨l, hl, rfl⟩
#align set.length_le_chain_height_of_mem_subchain Set.length_le_chainHeight_of_mem_subchain
theorem chainHeight_eq_top_iff : s.chainHeight = ⊤ ↔ ∀ n, ∃ l ∈ s.subchain, length l = n := by
refine ⟨fun h n ↦ le_chainHeight_iff.1 (le_top.trans_eq h.symm), fun h ↦ ?_⟩
contrapose! h; obtain ⟨n, hn⟩ := WithTop.ne_top_iff_exists.1 h
exact ⟨n + 1, fun l hs ↦ (Nat.lt_succ_iff.2 <| Nat.cast_le.1 <|
(length_le_chainHeight_of_mem_subchain hs).trans_eq hn.symm).ne⟩
#align set.chain_height_eq_top_iff Set.chainHeight_eq_top_iff
@[simp]
theorem one_le_chainHeight_iff : 1 ≤ s.chainHeight ↔ s.Nonempty := by
rw [← Nat.cast_one, Set.le_chainHeight_iff]
simp only [length_eq_one, @and_comm (_ ∈ _), @eq_comm _ _ [_], exists_exists_eq_and,
singleton_mem_subchain_iff, Set.Nonempty]
#align set.one_le_chain_height_iff Set.one_le_chainHeight_iff
@[simp]
theorem chainHeight_eq_zero_iff : s.chainHeight = 0 ↔ s = ∅ := by
rw [← not_iff_not, ← Ne, ← ENat.one_le_iff_ne_zero, one_le_chainHeight_iff,
nonempty_iff_ne_empty]
#align set.chain_height_eq_zero_iff Set.chainHeight_eq_zero_iff
@[simp]
theorem chainHeight_empty : (∅ : Set α).chainHeight = 0 :=
chainHeight_eq_zero_iff.2 rfl
#align set.chain_height_empty Set.chainHeight_empty
@[simp]
theorem chainHeight_of_isEmpty [IsEmpty α] : s.chainHeight = 0 :=
chainHeight_eq_zero_iff.mpr (Subsingleton.elim _ _)
#align set.chain_height_of_is_empty Set.chainHeight_of_isEmpty
theorem le_chainHeight_add_nat_iff {n m : ℕ} :
↑n ≤ s.chainHeight + m ↔ ∃ l ∈ s.subchain, n ≤ length l + m := by
simp_rw [← tsub_le_iff_right, ← ENat.coe_sub, (le_chainHeight_TFAE s (n - m)).out 0 2]
#align set.le_chain_height_add_nat_iff Set.le_chainHeight_add_nat_iff
theorem chainHeight_add_le_chainHeight_add (s : Set α) (t : Set β) (n m : ℕ) :
s.chainHeight + n ≤ t.chainHeight + m ↔
∀ l ∈ s.subchain, ∃ l' ∈ t.subchain, length l + n ≤ length l' + m := by
refine
⟨fun e l h ↦
le_chainHeight_add_nat_iff.1
((add_le_add_right (length_le_chainHeight_of_mem_subchain h) _).trans e),
fun H ↦ ?_⟩
by_cases h : s.chainHeight = ⊤
· suffices t.chainHeight = ⊤ by
rw [this, top_add]
exact le_top
rw [chainHeight_eq_top_iff] at h ⊢
intro k
have := (le_chainHeight_TFAE t k).out 1 2
rw [this]
obtain ⟨l, hs, hl⟩ := h (k + m)
obtain ⟨l', ht, hl'⟩ := H l hs
exact ⟨l', ht, (add_le_add_iff_right m).1 <| _root_.trans (hl.symm.trans_le le_self_add) hl'⟩
· obtain ⟨k, hk⟩ := WithTop.ne_top_iff_exists.1 h
obtain ⟨l, hs, hl⟩ := le_chainHeight_iff.1 hk.le
rw [← hk, ← hl]
exact le_chainHeight_add_nat_iff.2 (H l hs)
#align set.chain_height_add_le_chain_height_add Set.chainHeight_add_le_chainHeight_add
| Mathlib/Order/Height.lean | 187 | 195 | theorem chainHeight_le_chainHeight_TFAE (s : Set α) (t : Set β) :
TFAE [s.chainHeight ≤ t.chainHeight, ∀ l ∈ s.subchain, ∃ l' ∈ t.subchain, length l = length l',
∀ l ∈ s.subchain, ∃ l' ∈ t.subchain, length l ≤ length l'] := by |
tfae_have 1 ↔ 3
· convert ← chainHeight_add_le_chainHeight_add s t 0 0 <;> apply add_zero
tfae_have 2 ↔ 3
· refine forall₂_congr fun l hl ↦ ?_
simp_rw [← (le_chainHeight_TFAE t l.length).out 1 2, eq_comm]
tfae_finish
|
import Mathlib.Data.List.OfFn
import Mathlib.Data.List.Range
#align_import data.list.indexes from "leanprover-community/mathlib"@"8631e2d5ea77f6c13054d9151d82b83069680cb1"
assert_not_exists MonoidWithZero
universe u v
open Function
namespace List
variable {α : Type u} {β : Type v}
section FoldrIdx
-- Porting note: Changed argument order of `foldrIdxSpec` to align better with `foldrIdx`.
def foldrIdxSpec (f : ℕ → α → β → β) (b : β) (as : List α) (start : ℕ) : β :=
foldr (uncurry f) b <| enumFrom start as
#align list.foldr_with_index_aux_spec List.foldrIdxSpecₓ
theorem foldrIdxSpec_cons (f : ℕ → α → β → β) (b a as start) :
foldrIdxSpec f b (a :: as) start = f start a (foldrIdxSpec f b as (start + 1)) :=
rfl
#align list.foldr_with_index_aux_spec_cons List.foldrIdxSpec_consₓ
| Mathlib/Data/List/Indexes.lean | 246 | 250 | theorem foldrIdx_eq_foldrIdxSpec (f : ℕ → α → β → β) (b as start) :
foldrIdx f b as start = foldrIdxSpec f b as start := by |
induction as generalizing start
· rfl
· simp only [foldrIdx, foldrIdxSpec_cons, *]
|
import Mathlib.Analysis.SpecialFunctions.Pow.Complex
import Qq
#align_import analysis.special_functions.pow.real from "leanprover-community/mathlib"@"4fa54b337f7d52805480306db1b1439c741848c8"
noncomputable section
open scoped Classical
open Real ComplexConjugate
open Finset Set
namespace Real
variable {x y z : ℝ}
noncomputable def rpow (x y : ℝ) :=
((x : ℂ) ^ (y : ℂ)).re
#align real.rpow Real.rpow
noncomputable instance : Pow ℝ ℝ := ⟨rpow⟩
@[simp]
theorem rpow_eq_pow (x y : ℝ) : rpow x y = x ^ y := rfl
#align real.rpow_eq_pow Real.rpow_eq_pow
theorem rpow_def (x y : ℝ) : x ^ y = ((x : ℂ) ^ (y : ℂ)).re := rfl
#align real.rpow_def Real.rpow_def
theorem rpow_def_of_nonneg {x : ℝ} (hx : 0 ≤ x) (y : ℝ) :
x ^ y = if x = 0 then if y = 0 then 1 else 0 else exp (log x * y) := by
simp only [rpow_def, Complex.cpow_def]; split_ifs <;>
simp_all [(Complex.ofReal_log hx).symm, -Complex.ofReal_mul, -RCLike.ofReal_mul,
(Complex.ofReal_mul _ _).symm, Complex.exp_ofReal_re, Complex.ofReal_eq_zero]
#align real.rpow_def_of_nonneg Real.rpow_def_of_nonneg
theorem rpow_def_of_pos {x : ℝ} (hx : 0 < x) (y : ℝ) : x ^ y = exp (log x * y) := by
rw [rpow_def_of_nonneg (le_of_lt hx), if_neg (ne_of_gt hx)]
#align real.rpow_def_of_pos Real.rpow_def_of_pos
theorem exp_mul (x y : ℝ) : exp (x * y) = exp x ^ y := by rw [rpow_def_of_pos (exp_pos _), log_exp]
#align real.exp_mul Real.exp_mul
@[simp, norm_cast]
theorem rpow_intCast (x : ℝ) (n : ℤ) : x ^ (n : ℝ) = x ^ n := by
simp only [rpow_def, ← Complex.ofReal_zpow, Complex.cpow_intCast, Complex.ofReal_intCast,
Complex.ofReal_re]
#align real.rpow_int_cast Real.rpow_intCast
@[deprecated (since := "2024-04-17")]
alias rpow_int_cast := rpow_intCast
@[simp, norm_cast]
theorem rpow_natCast (x : ℝ) (n : ℕ) : x ^ (n : ℝ) = x ^ n := by simpa using rpow_intCast x n
#align real.rpow_nat_cast Real.rpow_natCast
@[deprecated (since := "2024-04-17")]
alias rpow_nat_cast := rpow_natCast
@[simp]
theorem exp_one_rpow (x : ℝ) : exp 1 ^ x = exp x := by rw [← exp_mul, one_mul]
#align real.exp_one_rpow Real.exp_one_rpow
@[simp] lemma exp_one_pow (n : ℕ) : exp 1 ^ n = exp n := by rw [← rpow_natCast, exp_one_rpow]
theorem rpow_eq_zero_iff_of_nonneg (hx : 0 ≤ x) : x ^ y = 0 ↔ x = 0 ∧ y ≠ 0 := by
simp only [rpow_def_of_nonneg hx]
split_ifs <;> simp [*, exp_ne_zero]
#align real.rpow_eq_zero_iff_of_nonneg Real.rpow_eq_zero_iff_of_nonneg
@[simp]
lemma rpow_eq_zero (hx : 0 ≤ x) (hy : y ≠ 0) : x ^ y = 0 ↔ x = 0 := by
simp [rpow_eq_zero_iff_of_nonneg, *]
@[simp]
lemma rpow_ne_zero (hx : 0 ≤ x) (hy : y ≠ 0) : x ^ y ≠ 0 ↔ x ≠ 0 :=
Real.rpow_eq_zero hx hy |>.not
open Real
theorem rpow_def_of_neg {x : ℝ} (hx : x < 0) (y : ℝ) : x ^ y = exp (log x * y) * cos (y * π) := by
rw [rpow_def, Complex.cpow_def, if_neg]
· have : Complex.log x * y = ↑(log (-x) * y) + ↑(y * π) * Complex.I := by
simp only [Complex.log, abs_of_neg hx, Complex.arg_ofReal_of_neg hx, Complex.abs_ofReal,
Complex.ofReal_mul]
ring
rw [this, Complex.exp_add_mul_I, ← Complex.ofReal_exp, ← Complex.ofReal_cos, ←
Complex.ofReal_sin, mul_add, ← Complex.ofReal_mul, ← mul_assoc, ← Complex.ofReal_mul,
Complex.add_re, Complex.ofReal_re, Complex.mul_re, Complex.I_re, Complex.ofReal_im,
Real.log_neg_eq_log]
ring
· rw [Complex.ofReal_eq_zero]
exact ne_of_lt hx
#align real.rpow_def_of_neg Real.rpow_def_of_neg
theorem rpow_def_of_nonpos {x : ℝ} (hx : x ≤ 0) (y : ℝ) :
x ^ y = if x = 0 then if y = 0 then 1 else 0 else exp (log x * y) * cos (y * π) := by
split_ifs with h <;> simp [rpow_def, *]; exact rpow_def_of_neg (lt_of_le_of_ne hx h) _
#align real.rpow_def_of_nonpos Real.rpow_def_of_nonpos
theorem rpow_pos_of_pos {x : ℝ} (hx : 0 < x) (y : ℝ) : 0 < x ^ y := by
rw [rpow_def_of_pos hx]; apply exp_pos
#align real.rpow_pos_of_pos Real.rpow_pos_of_pos
@[simp]
theorem rpow_zero (x : ℝ) : x ^ (0 : ℝ) = 1 := by simp [rpow_def]
#align real.rpow_zero Real.rpow_zero
theorem rpow_zero_pos (x : ℝ) : 0 < x ^ (0 : ℝ) := by simp
@[simp]
theorem zero_rpow {x : ℝ} (h : x ≠ 0) : (0 : ℝ) ^ x = 0 := by simp [rpow_def, *]
#align real.zero_rpow Real.zero_rpow
theorem zero_rpow_eq_iff {x : ℝ} {a : ℝ} : 0 ^ x = a ↔ x ≠ 0 ∧ a = 0 ∨ x = 0 ∧ a = 1 := by
constructor
· intro hyp
simp only [rpow_def, Complex.ofReal_zero] at hyp
by_cases h : x = 0
· subst h
simp only [Complex.one_re, Complex.ofReal_zero, Complex.cpow_zero] at hyp
exact Or.inr ⟨rfl, hyp.symm⟩
· rw [Complex.zero_cpow (Complex.ofReal_ne_zero.mpr h)] at hyp
exact Or.inl ⟨h, hyp.symm⟩
· rintro (⟨h, rfl⟩ | ⟨rfl, rfl⟩)
· exact zero_rpow h
· exact rpow_zero _
#align real.zero_rpow_eq_iff Real.zero_rpow_eq_iff
theorem eq_zero_rpow_iff {x : ℝ} {a : ℝ} : a = 0 ^ x ↔ x ≠ 0 ∧ a = 0 ∨ x = 0 ∧ a = 1 := by
rw [← zero_rpow_eq_iff, eq_comm]
#align real.eq_zero_rpow_iff Real.eq_zero_rpow_iff
@[simp]
theorem rpow_one (x : ℝ) : x ^ (1 : ℝ) = x := by simp [rpow_def]
#align real.rpow_one Real.rpow_one
@[simp]
theorem one_rpow (x : ℝ) : (1 : ℝ) ^ x = 1 := by simp [rpow_def]
#align real.one_rpow Real.one_rpow
theorem zero_rpow_le_one (x : ℝ) : (0 : ℝ) ^ x ≤ 1 := by
by_cases h : x = 0 <;> simp [h, zero_le_one]
#align real.zero_rpow_le_one Real.zero_rpow_le_one
theorem zero_rpow_nonneg (x : ℝ) : 0 ≤ (0 : ℝ) ^ x := by
by_cases h : x = 0 <;> simp [h, zero_le_one]
#align real.zero_rpow_nonneg Real.zero_rpow_nonneg
theorem rpow_nonneg {x : ℝ} (hx : 0 ≤ x) (y : ℝ) : 0 ≤ x ^ y := by
rw [rpow_def_of_nonneg hx]; split_ifs <;>
simp only [zero_le_one, le_refl, le_of_lt (exp_pos _)]
#align real.rpow_nonneg_of_nonneg Real.rpow_nonneg
theorem abs_rpow_of_nonneg {x y : ℝ} (hx_nonneg : 0 ≤ x) : |x ^ y| = |x| ^ y := by
have h_rpow_nonneg : 0 ≤ x ^ y := Real.rpow_nonneg hx_nonneg _
rw [abs_eq_self.mpr hx_nonneg, abs_eq_self.mpr h_rpow_nonneg]
#align real.abs_rpow_of_nonneg Real.abs_rpow_of_nonneg
theorem abs_rpow_le_abs_rpow (x y : ℝ) : |x ^ y| ≤ |x| ^ y := by
rcases le_or_lt 0 x with hx | hx
· rw [abs_rpow_of_nonneg hx]
· rw [abs_of_neg hx, rpow_def_of_neg hx, rpow_def_of_pos (neg_pos.2 hx), log_neg_eq_log, abs_mul,
abs_of_pos (exp_pos _)]
exact mul_le_of_le_one_right (exp_pos _).le (abs_cos_le_one _)
#align real.abs_rpow_le_abs_rpow Real.abs_rpow_le_abs_rpow
theorem abs_rpow_le_exp_log_mul (x y : ℝ) : |x ^ y| ≤ exp (log x * y) := by
refine (abs_rpow_le_abs_rpow x y).trans ?_
by_cases hx : x = 0
· by_cases hy : y = 0 <;> simp [hx, hy, zero_le_one]
· rw [rpow_def_of_pos (abs_pos.2 hx), log_abs]
#align real.abs_rpow_le_exp_log_mul Real.abs_rpow_le_exp_log_mul
theorem norm_rpow_of_nonneg {x y : ℝ} (hx_nonneg : 0 ≤ x) : ‖x ^ y‖ = ‖x‖ ^ y := by
simp_rw [Real.norm_eq_abs]
exact abs_rpow_of_nonneg hx_nonneg
#align real.norm_rpow_of_nonneg Real.norm_rpow_of_nonneg
variable {w x y z : ℝ}
theorem rpow_add (hx : 0 < x) (y z : ℝ) : x ^ (y + z) = x ^ y * x ^ z := by
simp only [rpow_def_of_pos hx, mul_add, exp_add]
#align real.rpow_add Real.rpow_add
theorem rpow_add' (hx : 0 ≤ x) (h : y + z ≠ 0) : x ^ (y + z) = x ^ y * x ^ z := by
rcases hx.eq_or_lt with (rfl | pos)
· rw [zero_rpow h, zero_eq_mul]
have : y ≠ 0 ∨ z ≠ 0 := not_and_or.1 fun ⟨hy, hz⟩ => h <| hy.symm ▸ hz.symm ▸ zero_add 0
exact this.imp zero_rpow zero_rpow
· exact rpow_add pos _ _
#align real.rpow_add' Real.rpow_add'
lemma rpow_of_add_eq (hx : 0 ≤ x) (hw : w ≠ 0) (h : y + z = w) : x ^ w = x ^ y * x ^ z := by
rw [← h, rpow_add' hx]; rwa [h]
theorem rpow_add_of_nonneg (hx : 0 ≤ x) (hy : 0 ≤ y) (hz : 0 ≤ z) :
x ^ (y + z) = x ^ y * x ^ z := by
rcases hy.eq_or_lt with (rfl | hy)
· rw [zero_add, rpow_zero, one_mul]
exact rpow_add' hx (ne_of_gt <| add_pos_of_pos_of_nonneg hy hz)
#align real.rpow_add_of_nonneg Real.rpow_add_of_nonneg
theorem le_rpow_add {x : ℝ} (hx : 0 ≤ x) (y z : ℝ) : x ^ y * x ^ z ≤ x ^ (y + z) := by
rcases le_iff_eq_or_lt.1 hx with (H | pos)
· by_cases h : y + z = 0
· simp only [H.symm, h, rpow_zero]
calc
(0 : ℝ) ^ y * 0 ^ z ≤ 1 * 1 :=
mul_le_mul (zero_rpow_le_one y) (zero_rpow_le_one z) (zero_rpow_nonneg z) zero_le_one
_ = 1 := by simp
· simp [rpow_add', ← H, h]
· simp [rpow_add pos]
#align real.le_rpow_add Real.le_rpow_add
theorem rpow_sum_of_pos {ι : Type*} {a : ℝ} (ha : 0 < a) (f : ι → ℝ) (s : Finset ι) :
(a ^ ∑ x ∈ s, f x) = ∏ x ∈ s, a ^ f x :=
map_sum (⟨⟨fun (x : ℝ) => (a ^ x : ℝ), rpow_zero a⟩, rpow_add ha⟩ : ℝ →+ (Additive ℝ)) f s
#align real.rpow_sum_of_pos Real.rpow_sum_of_pos
| Mathlib/Analysis/SpecialFunctions/Pow/Real.lean | 245 | 250 | theorem rpow_sum_of_nonneg {ι : Type*} {a : ℝ} (ha : 0 ≤ a) {s : Finset ι} {f : ι → ℝ}
(h : ∀ x ∈ s, 0 ≤ f x) : (a ^ ∑ x ∈ s, f x) = ∏ x ∈ s, a ^ f x := by |
induction' s using Finset.cons_induction with i s hi ihs
· rw [sum_empty, Finset.prod_empty, rpow_zero]
· rw [forall_mem_cons] at h
rw [sum_cons, prod_cons, ← ihs h.2, rpow_add_of_nonneg ha h.1 (sum_nonneg h.2)]
|
import Mathlib.FieldTheory.RatFunc.AsPolynomial
import Mathlib.RingTheory.EuclideanDomain
import Mathlib.RingTheory.Localization.FractionRing
import Mathlib.RingTheory.Polynomial.Content
noncomputable section
universe u
variable {K : Type u}
namespace RatFunc
section IntDegree
open Polynomial
variable [Field K]
def intDegree (x : RatFunc K) : ℤ :=
natDegree x.num - natDegree x.denom
#align ratfunc.int_degree RatFunc.intDegree
@[simp]
theorem intDegree_zero : intDegree (0 : RatFunc K) = 0 := by
rw [intDegree, num_zero, natDegree_zero, denom_zero, natDegree_one, sub_self]
#align ratfunc.int_degree_zero RatFunc.intDegree_zero
@[simp]
theorem intDegree_one : intDegree (1 : RatFunc K) = 0 := by
rw [intDegree, num_one, denom_one, sub_self]
#align ratfunc.int_degree_one RatFunc.intDegree_one
@[simp]
theorem intDegree_C (k : K) : intDegree (C k) = 0 := by
rw [intDegree, num_C, natDegree_C, denom_C, natDegree_one, sub_self]
set_option linter.uppercaseLean3 false in #align ratfunc.int_degree_C RatFunc.intDegree_C
@[simp]
| Mathlib/FieldTheory/RatFunc/Degree.lean | 59 | 61 | theorem intDegree_X : intDegree (X : RatFunc K) = 1 := by |
rw [intDegree, num_X, Polynomial.natDegree_X, denom_X, Polynomial.natDegree_one,
Int.ofNat_one, Int.ofNat_zero, sub_zero]
|
import Mathlib.Topology.UniformSpace.UniformEmbedding
import Mathlib.Topology.UniformSpace.Equiv
#align_import topology.uniform_space.abstract_completion from "leanprover-community/mathlib"@"dc6c365e751e34d100e80fe6e314c3c3e0fd2988"
noncomputable section
attribute [local instance] Classical.propDecidable
open Filter Set Function
universe u
structure AbstractCompletion (α : Type u) [UniformSpace α] where
space : Type u
coe : α → space
uniformStruct : UniformSpace space
complete : CompleteSpace space
separation : T0Space space
uniformInducing : UniformInducing coe
dense : DenseRange coe
#align abstract_completion AbstractCompletion
attribute [local instance]
AbstractCompletion.uniformStruct AbstractCompletion.complete AbstractCompletion.separation
namespace AbstractCompletion
variable {α : Type*} [UniformSpace α] (pkg : AbstractCompletion α)
local notation "hatα" => pkg.space
local notation "ι" => pkg.coe
def ofComplete [T0Space α] [CompleteSpace α] : AbstractCompletion α :=
mk α id inferInstance inferInstance inferInstance uniformInducing_id denseRange_id
#align abstract_completion.of_complete AbstractCompletion.ofComplete
theorem closure_range : closure (range ι) = univ :=
pkg.dense.closure_range
#align abstract_completion.closure_range AbstractCompletion.closure_range
theorem denseInducing : DenseInducing ι :=
⟨pkg.uniformInducing.inducing, pkg.dense⟩
#align abstract_completion.dense_inducing AbstractCompletion.denseInducing
theorem uniformContinuous_coe : UniformContinuous ι :=
UniformInducing.uniformContinuous pkg.uniformInducing
#align abstract_completion.uniform_continuous_coe AbstractCompletion.uniformContinuous_coe
theorem continuous_coe : Continuous ι :=
pkg.uniformContinuous_coe.continuous
#align abstract_completion.continuous_coe AbstractCompletion.continuous_coe
@[elab_as_elim]
theorem induction_on {p : hatα → Prop} (a : hatα) (hp : IsClosed { a | p a }) (ih : ∀ a, p (ι a)) :
p a :=
isClosed_property pkg.dense hp ih a
#align abstract_completion.induction_on AbstractCompletion.induction_on
variable {β : Type*}
protected theorem funext [TopologicalSpace β] [T2Space β] {f g : hatα → β} (hf : Continuous f)
(hg : Continuous g) (h : ∀ a, f (ι a) = g (ι a)) : f = g :=
funext fun a => pkg.induction_on a (isClosed_eq hf hg) h
#align abstract_completion.funext AbstractCompletion.funext
variable [UniformSpace β]
section Extend
protected def extend (f : α → β) : hatα → β :=
if UniformContinuous f then pkg.denseInducing.extend f else fun x => f (pkg.dense.some x)
#align abstract_completion.extend AbstractCompletion.extend
variable {f : α → β}
theorem extend_def (hf : UniformContinuous f) : pkg.extend f = pkg.denseInducing.extend f :=
if_pos hf
#align abstract_completion.extend_def AbstractCompletion.extend_def
| Mathlib/Topology/UniformSpace/AbstractCompletion.lean | 136 | 138 | theorem extend_coe [T2Space β] (hf : UniformContinuous f) (a : α) : (pkg.extend f) (ι a) = f a := by |
rw [pkg.extend_def hf]
exact pkg.denseInducing.extend_eq hf.continuous a
|
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
section
variable {A B : Type*} [CommRing A] [CommRing B]
| Mathlib/Algebra/Polynomial/Roots.lean | 753 | 757 | theorem le_rootMultiplicity_map {p : A[X]} {f : A →+* B} (hmap : map f p ≠ 0) (a : A) :
rootMultiplicity a p ≤ rootMultiplicity (f a) (p.map f) := by |
rw [le_rootMultiplicity_iff hmap]
refine _root_.trans ?_ ((mapRingHom f).map_dvd (pow_rootMultiplicity_dvd p a))
rw [map_pow, map_sub, coe_mapRingHom, map_X, map_C]
|
import Mathlib.Data.Set.Image
import Mathlib.Order.SuccPred.Relation
import Mathlib.Topology.Clopen
import Mathlib.Topology.Irreducible
#align_import topology.connected from "leanprover-community/mathlib"@"d101e93197bb5f6ea89bd7ba386b7f7dff1f3903"
open Set Function Topology TopologicalSpace Relation
open scoped Classical
universe u v
variable {α : Type u} {β : Type v} {ι : Type*} {π : ι → Type*} [TopologicalSpace α]
{s t u v : Set α}
section Preconnected
def IsPreconnected (s : Set α) : Prop :=
∀ u v : Set α, IsOpen u → IsOpen v → s ⊆ u ∪ v → (s ∩ u).Nonempty → (s ∩ v).Nonempty →
(s ∩ (u ∩ v)).Nonempty
#align is_preconnected IsPreconnected
def IsConnected (s : Set α) : Prop :=
s.Nonempty ∧ IsPreconnected s
#align is_connected IsConnected
theorem IsConnected.nonempty {s : Set α} (h : IsConnected s) : s.Nonempty :=
h.1
#align is_connected.nonempty IsConnected.nonempty
theorem IsConnected.isPreconnected {s : Set α} (h : IsConnected s) : IsPreconnected s :=
h.2
#align is_connected.is_preconnected IsConnected.isPreconnected
theorem IsPreirreducible.isPreconnected {s : Set α} (H : IsPreirreducible s) : IsPreconnected s :=
fun _ _ hu hv _ => H _ _ hu hv
#align is_preirreducible.is_preconnected IsPreirreducible.isPreconnected
theorem IsIrreducible.isConnected {s : Set α} (H : IsIrreducible s) : IsConnected s :=
⟨H.nonempty, H.isPreirreducible.isPreconnected⟩
#align is_irreducible.is_connected IsIrreducible.isConnected
theorem isPreconnected_empty : IsPreconnected (∅ : Set α) :=
isPreirreducible_empty.isPreconnected
#align is_preconnected_empty isPreconnected_empty
theorem isConnected_singleton {x} : IsConnected ({x} : Set α) :=
isIrreducible_singleton.isConnected
#align is_connected_singleton isConnected_singleton
theorem isPreconnected_singleton {x} : IsPreconnected ({x} : Set α) :=
isConnected_singleton.isPreconnected
#align is_preconnected_singleton isPreconnected_singleton
theorem Set.Subsingleton.isPreconnected {s : Set α} (hs : s.Subsingleton) : IsPreconnected s :=
hs.induction_on isPreconnected_empty fun _ => isPreconnected_singleton
#align set.subsingleton.is_preconnected Set.Subsingleton.isPreconnected
theorem isPreconnected_of_forall {s : Set α} (x : α)
(H : ∀ y ∈ s, ∃ t, t ⊆ s ∧ x ∈ t ∧ y ∈ t ∧ IsPreconnected t) : IsPreconnected s := by
rintro u v hu hv hs ⟨z, zs, zu⟩ ⟨y, ys, yv⟩
have xs : x ∈ s := by
rcases H y ys with ⟨t, ts, xt, -, -⟩
exact ts xt
-- Porting note (#11215): TODO: use `wlog xu : x ∈ u := hs xs using u v y z, v u z y`
cases hs xs with
| inl xu =>
rcases H y ys with ⟨t, ts, xt, yt, ht⟩
have := ht u v hu hv (ts.trans hs) ⟨x, xt, xu⟩ ⟨y, yt, yv⟩
exact this.imp fun z hz => ⟨ts hz.1, hz.2⟩
| inr xv =>
rcases H z zs with ⟨t, ts, xt, zt, ht⟩
have := ht v u hv hu (ts.trans <| by rwa [union_comm]) ⟨x, xt, xv⟩ ⟨z, zt, zu⟩
exact this.imp fun _ h => ⟨ts h.1, h.2.2, h.2.1⟩
#align is_preconnected_of_forall isPreconnected_of_forall
theorem isPreconnected_of_forall_pair {s : Set α}
(H : ∀ x ∈ s, ∀ y ∈ s, ∃ t, t ⊆ s ∧ x ∈ t ∧ y ∈ t ∧ IsPreconnected t) :
IsPreconnected s := by
rcases eq_empty_or_nonempty s with (rfl | ⟨x, hx⟩)
exacts [isPreconnected_empty, isPreconnected_of_forall x fun y => H x hx y]
#align is_preconnected_of_forall_pair isPreconnected_of_forall_pair
theorem isPreconnected_sUnion (x : α) (c : Set (Set α)) (H1 : ∀ s ∈ c, x ∈ s)
(H2 : ∀ s ∈ c, IsPreconnected s) : IsPreconnected (⋃₀ c) := by
apply isPreconnected_of_forall x
rintro y ⟨s, sc, ys⟩
exact ⟨s, subset_sUnion_of_mem sc, H1 s sc, ys, H2 s sc⟩
#align is_preconnected_sUnion isPreconnected_sUnion
theorem isPreconnected_iUnion {ι : Sort*} {s : ι → Set α} (h₁ : (⋂ i, s i).Nonempty)
(h₂ : ∀ i, IsPreconnected (s i)) : IsPreconnected (⋃ i, s i) :=
Exists.elim h₁ fun f hf => isPreconnected_sUnion f _ hf (forall_mem_range.2 h₂)
#align is_preconnected_Union isPreconnected_iUnion
theorem IsPreconnected.union (x : α) {s t : Set α} (H1 : x ∈ s) (H2 : x ∈ t) (H3 : IsPreconnected s)
(H4 : IsPreconnected t) : IsPreconnected (s ∪ t) :=
sUnion_pair s t ▸ isPreconnected_sUnion x {s, t} (by rintro r (rfl | rfl | h) <;> assumption)
(by rintro r (rfl | rfl | h) <;> assumption)
#align is_preconnected.union IsPreconnected.union
theorem IsPreconnected.union' {s t : Set α} (H : (s ∩ t).Nonempty) (hs : IsPreconnected s)
(ht : IsPreconnected t) : IsPreconnected (s ∪ t) := by
rcases H with ⟨x, hxs, hxt⟩
exact hs.union x hxs hxt ht
#align is_preconnected.union' IsPreconnected.union'
theorem IsConnected.union {s t : Set α} (H : (s ∩ t).Nonempty) (Hs : IsConnected s)
(Ht : IsConnected t) : IsConnected (s ∪ t) := by
rcases H with ⟨x, hx⟩
refine ⟨⟨x, mem_union_left t (mem_of_mem_inter_left hx)⟩, ?_⟩
exact Hs.isPreconnected.union x (mem_of_mem_inter_left hx) (mem_of_mem_inter_right hx)
Ht.isPreconnected
#align is_connected.union IsConnected.union
theorem IsPreconnected.sUnion_directed {S : Set (Set α)} (K : DirectedOn (· ⊆ ·) S)
(H : ∀ s ∈ S, IsPreconnected s) : IsPreconnected (⋃₀ S) := by
rintro u v hu hv Huv ⟨a, ⟨s, hsS, has⟩, hau⟩ ⟨b, ⟨t, htS, hbt⟩, hbv⟩
obtain ⟨r, hrS, hsr, htr⟩ : ∃ r ∈ S, s ⊆ r ∧ t ⊆ r := K s hsS t htS
have Hnuv : (r ∩ (u ∩ v)).Nonempty :=
H _ hrS u v hu hv ((subset_sUnion_of_mem hrS).trans Huv) ⟨a, hsr has, hau⟩ ⟨b, htr hbt, hbv⟩
have Kruv : r ∩ (u ∩ v) ⊆ ⋃₀ S ∩ (u ∩ v) := inter_subset_inter_left _ (subset_sUnion_of_mem hrS)
exact Hnuv.mono Kruv
#align is_preconnected.sUnion_directed IsPreconnected.sUnion_directed
theorem IsPreconnected.biUnion_of_reflTransGen {ι : Type*} {t : Set ι} {s : ι → Set α}
(H : ∀ i ∈ t, IsPreconnected (s i))
(K : ∀ i, i ∈ t → ∀ j, j ∈ t → ReflTransGen (fun i j => (s i ∩ s j).Nonempty ∧ i ∈ t) i j) :
IsPreconnected (⋃ n ∈ t, s n) := by
let R := fun i j : ι => (s i ∩ s j).Nonempty ∧ i ∈ t
have P : ∀ i, i ∈ t → ∀ j, j ∈ t → ReflTransGen R i j →
∃ p, p ⊆ t ∧ i ∈ p ∧ j ∈ p ∧ IsPreconnected (⋃ j ∈ p, s j) := fun i hi j hj h => by
induction h with
| refl =>
refine ⟨{i}, singleton_subset_iff.mpr hi, mem_singleton i, mem_singleton i, ?_⟩
rw [biUnion_singleton]
exact H i hi
| @tail j k _ hjk ih =>
obtain ⟨p, hpt, hip, hjp, hp⟩ := ih hjk.2
refine ⟨insert k p, insert_subset_iff.mpr ⟨hj, hpt⟩, mem_insert_of_mem k hip,
mem_insert k p, ?_⟩
rw [biUnion_insert]
refine (H k hj).union' (hjk.1.mono ?_) hp
rw [inter_comm]
exact inter_subset_inter_right _ (subset_biUnion_of_mem hjp)
refine isPreconnected_of_forall_pair ?_
intro x hx y hy
obtain ⟨i : ι, hi : i ∈ t, hxi : x ∈ s i⟩ := mem_iUnion₂.1 hx
obtain ⟨j : ι, hj : j ∈ t, hyj : y ∈ s j⟩ := mem_iUnion₂.1 hy
obtain ⟨p, hpt, hip, hjp, hp⟩ := P i hi j hj (K i hi j hj)
exact ⟨⋃ j ∈ p, s j, biUnion_subset_biUnion_left hpt, mem_biUnion hip hxi,
mem_biUnion hjp hyj, hp⟩
#align is_preconnected.bUnion_of_refl_trans_gen IsPreconnected.biUnion_of_reflTransGen
theorem IsConnected.biUnion_of_reflTransGen {ι : Type*} {t : Set ι} {s : ι → Set α}
(ht : t.Nonempty) (H : ∀ i ∈ t, IsConnected (s i))
(K : ∀ i, i ∈ t → ∀ j, j ∈ t → ReflTransGen (fun i j : ι => (s i ∩ s j).Nonempty ∧ i ∈ t) i j) :
IsConnected (⋃ n ∈ t, s n) :=
⟨nonempty_biUnion.2 <| ⟨ht.some, ht.some_mem, (H _ ht.some_mem).nonempty⟩,
IsPreconnected.biUnion_of_reflTransGen (fun i hi => (H i hi).isPreconnected) K⟩
#align is_connected.bUnion_of_refl_trans_gen IsConnected.biUnion_of_reflTransGen
theorem IsPreconnected.iUnion_of_reflTransGen {ι : Type*} {s : ι → Set α}
(H : ∀ i, IsPreconnected (s i))
(K : ∀ i j, ReflTransGen (fun i j : ι => (s i ∩ s j).Nonempty) i j) :
IsPreconnected (⋃ n, s n) := by
rw [← biUnion_univ]
exact IsPreconnected.biUnion_of_reflTransGen (fun i _ => H i) fun i _ j _ => by
simpa [mem_univ] using K i j
#align is_preconnected.Union_of_refl_trans_gen IsPreconnected.iUnion_of_reflTransGen
theorem IsConnected.iUnion_of_reflTransGen {ι : Type*} [Nonempty ι] {s : ι → Set α}
(H : ∀ i, IsConnected (s i))
(K : ∀ i j, ReflTransGen (fun i j : ι => (s i ∩ s j).Nonempty) i j) : IsConnected (⋃ n, s n) :=
⟨nonempty_iUnion.2 <| Nonempty.elim ‹_› fun i : ι => ⟨i, (H _).nonempty⟩,
IsPreconnected.iUnion_of_reflTransGen (fun i => (H i).isPreconnected) K⟩
#align is_connected.Union_of_refl_trans_gen IsConnected.iUnion_of_reflTransGen
protected theorem IsPreconnected.subset_closure {s : Set α} {t : Set α} (H : IsPreconnected s)
(Kst : s ⊆ t) (Ktcs : t ⊆ closure s) : IsPreconnected t :=
fun u v hu hv htuv ⟨_y, hyt, hyu⟩ ⟨_z, hzt, hzv⟩ =>
let ⟨p, hpu, hps⟩ := mem_closure_iff.1 (Ktcs hyt) u hu hyu
let ⟨q, hqv, hqs⟩ := mem_closure_iff.1 (Ktcs hzt) v hv hzv
let ⟨r, hrs, hruv⟩ := H u v hu hv (Subset.trans Kst htuv) ⟨p, hps, hpu⟩ ⟨q, hqs, hqv⟩
⟨r, Kst hrs, hruv⟩
#align is_preconnected.subset_closure IsPreconnected.subset_closure
protected theorem IsConnected.subset_closure {s : Set α} {t : Set α} (H : IsConnected s)
(Kst : s ⊆ t) (Ktcs : t ⊆ closure s) : IsConnected t :=
⟨Nonempty.mono Kst H.left, IsPreconnected.subset_closure H.right Kst Ktcs⟩
#align is_connected.subset_closure IsConnected.subset_closure
protected theorem IsPreconnected.closure {s : Set α} (H : IsPreconnected s) :
IsPreconnected (closure s) :=
IsPreconnected.subset_closure H subset_closure Subset.rfl
#align is_preconnected.closure IsPreconnected.closure
protected theorem IsConnected.closure {s : Set α} (H : IsConnected s) : IsConnected (closure s) :=
IsConnected.subset_closure H subset_closure <| Subset.rfl
#align is_connected.closure IsConnected.closure
protected theorem IsPreconnected.image [TopologicalSpace β] {s : Set α} (H : IsPreconnected s)
(f : α → β) (hf : ContinuousOn f s) : IsPreconnected (f '' s) := by
-- Unfold/destruct definitions in hypotheses
rintro u v hu hv huv ⟨_, ⟨x, xs, rfl⟩, xu⟩ ⟨_, ⟨y, ys, rfl⟩, yv⟩
rcases continuousOn_iff'.1 hf u hu with ⟨u', hu', u'_eq⟩
rcases continuousOn_iff'.1 hf v hv with ⟨v', hv', v'_eq⟩
-- Reformulate `huv : f '' s ⊆ u ∪ v` in terms of `u'` and `v'`
replace huv : s ⊆ u' ∪ v' := by
rw [image_subset_iff, preimage_union] at huv
replace huv := subset_inter huv Subset.rfl
rw [union_inter_distrib_right, u'_eq, v'_eq, ← union_inter_distrib_right] at huv
exact (subset_inter_iff.1 huv).1
-- Now `s ⊆ u' ∪ v'`, so we can apply `‹IsPreconnected s›`
obtain ⟨z, hz⟩ : (s ∩ (u' ∩ v')).Nonempty := by
refine H u' v' hu' hv' huv ⟨x, ?_⟩ ⟨y, ?_⟩ <;> rw [inter_comm]
exacts [u'_eq ▸ ⟨xu, xs⟩, v'_eq ▸ ⟨yv, ys⟩]
rw [← inter_self s, inter_assoc, inter_left_comm s u', ← inter_assoc, inter_comm s, inter_comm s,
← u'_eq, ← v'_eq] at hz
exact ⟨f z, ⟨z, hz.1.2, rfl⟩, hz.1.1, hz.2.1⟩
#align is_preconnected.image IsPreconnected.image
protected theorem IsConnected.image [TopologicalSpace β] {s : Set α} (H : IsConnected s) (f : α → β)
(hf : ContinuousOn f s) : IsConnected (f '' s) :=
⟨image_nonempty.mpr H.nonempty, H.isPreconnected.image f hf⟩
#align is_connected.image IsConnected.image
theorem isPreconnected_closed_iff {s : Set α} :
IsPreconnected s ↔ ∀ t t', IsClosed t → IsClosed t' →
s ⊆ t ∪ t' → (s ∩ t).Nonempty → (s ∩ t').Nonempty → (s ∩ (t ∩ t')).Nonempty :=
⟨by
rintro h t t' ht ht' htt' ⟨x, xs, xt⟩ ⟨y, ys, yt'⟩
rw [← not_disjoint_iff_nonempty_inter, ← subset_compl_iff_disjoint_right, compl_inter]
intro h'
have xt' : x ∉ t' := (h' xs).resolve_left (absurd xt)
have yt : y ∉ t := (h' ys).resolve_right (absurd yt')
have := h _ _ ht.isOpen_compl ht'.isOpen_compl h' ⟨y, ys, yt⟩ ⟨x, xs, xt'⟩
rw [← compl_union] at this
exact this.ne_empty htt'.disjoint_compl_right.inter_eq,
by
rintro h u v hu hv huv ⟨x, xs, xu⟩ ⟨y, ys, yv⟩
rw [← not_disjoint_iff_nonempty_inter, ← subset_compl_iff_disjoint_right, compl_inter]
intro h'
have xv : x ∉ v := (h' xs).elim (absurd xu) id
have yu : y ∉ u := (h' ys).elim id (absurd yv)
have := h _ _ hu.isClosed_compl hv.isClosed_compl h' ⟨y, ys, yu⟩ ⟨x, xs, xv⟩
rw [← compl_union] at this
exact this.ne_empty huv.disjoint_compl_right.inter_eq⟩
#align is_preconnected_closed_iff isPreconnected_closed_iff
theorem Inducing.isPreconnected_image [TopologicalSpace β] {s : Set α} {f : α → β}
(hf : Inducing f) : IsPreconnected (f '' s) ↔ IsPreconnected s := by
refine ⟨fun h => ?_, fun h => h.image _ hf.continuous.continuousOn⟩
rintro u v hu' hv' huv ⟨x, hxs, hxu⟩ ⟨y, hys, hyv⟩
rcases hf.isOpen_iff.1 hu' with ⟨u, hu, rfl⟩
rcases hf.isOpen_iff.1 hv' with ⟨v, hv, rfl⟩
replace huv : f '' s ⊆ u ∪ v := by rwa [image_subset_iff]
rcases h u v hu hv huv ⟨f x, mem_image_of_mem _ hxs, hxu⟩ ⟨f y, mem_image_of_mem _ hys, hyv⟩ with
⟨_, ⟨z, hzs, rfl⟩, hzuv⟩
exact ⟨z, hzs, hzuv⟩
#align inducing.is_preconnected_image Inducing.isPreconnected_image
theorem IsPreconnected.preimage_of_isOpenMap [TopologicalSpace β] {f : α → β} {s : Set β}
(hs : IsPreconnected s) (hinj : Function.Injective f) (hf : IsOpenMap f) (hsf : s ⊆ range f) :
IsPreconnected (f ⁻¹' s) := fun u v hu hv hsuv hsu hsv => by
replace hsf : f '' (f ⁻¹' s) = s := image_preimage_eq_of_subset hsf
obtain ⟨_, has, ⟨a, hau, rfl⟩, hav⟩ : (s ∩ (f '' u ∩ f '' v)).Nonempty := by
refine hs (f '' u) (f '' v) (hf u hu) (hf v hv) ?_ ?_ ?_
· simpa only [hsf, image_union] using image_subset f hsuv
· simpa only [image_preimage_inter] using hsu.image f
· simpa only [image_preimage_inter] using hsv.image f
· exact ⟨a, has, hau, hinj.mem_set_image.1 hav⟩
#align is_preconnected.preimage_of_open_map IsPreconnected.preimage_of_isOpenMap
theorem IsPreconnected.preimage_of_isClosedMap [TopologicalSpace β] {s : Set β}
(hs : IsPreconnected s) {f : α → β} (hinj : Function.Injective f) (hf : IsClosedMap f)
(hsf : s ⊆ range f) : IsPreconnected (f ⁻¹' s) :=
isPreconnected_closed_iff.2 fun u v hu hv hsuv hsu hsv => by
replace hsf : f '' (f ⁻¹' s) = s := image_preimage_eq_of_subset hsf
obtain ⟨_, has, ⟨a, hau, rfl⟩, hav⟩ : (s ∩ (f '' u ∩ f '' v)).Nonempty := by
refine isPreconnected_closed_iff.1 hs (f '' u) (f '' v) (hf u hu) (hf v hv) ?_ ?_ ?_
· simpa only [hsf, image_union] using image_subset f hsuv
· simpa only [image_preimage_inter] using hsu.image f
· simpa only [image_preimage_inter] using hsv.image f
· exact ⟨a, has, hau, hinj.mem_set_image.1 hav⟩
#align is_preconnected.preimage_of_closed_map IsPreconnected.preimage_of_isClosedMap
theorem IsConnected.preimage_of_isOpenMap [TopologicalSpace β] {s : Set β} (hs : IsConnected s)
{f : α → β} (hinj : Function.Injective f) (hf : IsOpenMap f) (hsf : s ⊆ range f) :
IsConnected (f ⁻¹' s) :=
⟨hs.nonempty.preimage' hsf, hs.isPreconnected.preimage_of_isOpenMap hinj hf hsf⟩
#align is_connected.preimage_of_open_map IsConnected.preimage_of_isOpenMap
theorem IsConnected.preimage_of_isClosedMap [TopologicalSpace β] {s : Set β} (hs : IsConnected s)
{f : α → β} (hinj : Function.Injective f) (hf : IsClosedMap f) (hsf : s ⊆ range f) :
IsConnected (f ⁻¹' s) :=
⟨hs.nonempty.preimage' hsf, hs.isPreconnected.preimage_of_isClosedMap hinj hf hsf⟩
#align is_connected.preimage_of_closed_map IsConnected.preimage_of_isClosedMap
theorem IsPreconnected.subset_or_subset (hu : IsOpen u) (hv : IsOpen v) (huv : Disjoint u v)
(hsuv : s ⊆ u ∪ v) (hs : IsPreconnected s) : s ⊆ u ∨ s ⊆ v := by
specialize hs u v hu hv hsuv
obtain hsu | hsu := (s ∩ u).eq_empty_or_nonempty
· exact Or.inr ((Set.disjoint_iff_inter_eq_empty.2 hsu).subset_right_of_subset_union hsuv)
· replace hs := mt (hs hsu)
simp_rw [Set.not_nonempty_iff_eq_empty, ← Set.disjoint_iff_inter_eq_empty,
disjoint_iff_inter_eq_empty.1 huv] at hs
exact Or.inl ((hs s.disjoint_empty).subset_left_of_subset_union hsuv)
#align is_preconnected.subset_or_subset IsPreconnected.subset_or_subset
theorem IsPreconnected.subset_left_of_subset_union (hu : IsOpen u) (hv : IsOpen v)
(huv : Disjoint u v) (hsuv : s ⊆ u ∪ v) (hsu : (s ∩ u).Nonempty) (hs : IsPreconnected s) :
s ⊆ u :=
Disjoint.subset_left_of_subset_union hsuv
(by
by_contra hsv
rw [not_disjoint_iff_nonempty_inter] at hsv
obtain ⟨x, _, hx⟩ := hs u v hu hv hsuv hsu hsv
exact Set.disjoint_iff.1 huv hx)
#align is_preconnected.subset_left_of_subset_union IsPreconnected.subset_left_of_subset_union
theorem IsPreconnected.subset_right_of_subset_union (hu : IsOpen u) (hv : IsOpen v)
(huv : Disjoint u v) (hsuv : s ⊆ u ∪ v) (hsv : (s ∩ v).Nonempty) (hs : IsPreconnected s) :
s ⊆ v :=
hs.subset_left_of_subset_union hv hu huv.symm (union_comm u v ▸ hsuv) hsv
#align is_preconnected.subset_right_of_subset_union IsPreconnected.subset_right_of_subset_union
-- Porting note: moved up
theorem IsPreconnected.subset_isClopen {s t : Set α} (hs : IsPreconnected s) (ht : IsClopen t)
(hne : (s ∩ t).Nonempty) : s ⊆ t :=
hs.subset_left_of_subset_union ht.isOpen ht.compl.isOpen disjoint_compl_right (by simp) hne
#align is_preconnected.subset_clopen IsPreconnected.subset_isClopen
theorem IsPreconnected.subset_of_closure_inter_subset (hs : IsPreconnected s) (hu : IsOpen u)
(h'u : (s ∩ u).Nonempty) (h : closure u ∩ s ⊆ u) : s ⊆ u := by
have A : s ⊆ u ∪ (closure u)ᶜ := by
intro x hx
by_cases xu : x ∈ u
· exact Or.inl xu
· right
intro h'x
exact xu (h (mem_inter h'x hx))
apply hs.subset_left_of_subset_union hu isClosed_closure.isOpen_compl _ A h'u
exact disjoint_compl_right.mono_right (compl_subset_compl.2 subset_closure)
#align is_preconnected.subset_of_closure_inter_subset IsPreconnected.subset_of_closure_inter_subset
theorem IsPreconnected.prod [TopologicalSpace β] {s : Set α} {t : Set β} (hs : IsPreconnected s)
(ht : IsPreconnected t) : IsPreconnected (s ×ˢ t) := by
apply isPreconnected_of_forall_pair
rintro ⟨a₁, b₁⟩ ⟨ha₁, hb₁⟩ ⟨a₂, b₂⟩ ⟨ha₂, hb₂⟩
refine ⟨Prod.mk a₁ '' t ∪ flip Prod.mk b₂ '' s, ?_, .inl ⟨b₁, hb₁, rfl⟩, .inr ⟨a₂, ha₂, rfl⟩, ?_⟩
· rintro _ (⟨y, hy, rfl⟩ | ⟨x, hx, rfl⟩)
exacts [⟨ha₁, hy⟩, ⟨hx, hb₂⟩]
· exact (ht.image _ (Continuous.Prod.mk _).continuousOn).union (a₁, b₂) ⟨b₂, hb₂, rfl⟩
⟨a₁, ha₁, rfl⟩ (hs.image _ (continuous_id.prod_mk continuous_const).continuousOn)
#align is_preconnected.prod IsPreconnected.prod
theorem IsConnected.prod [TopologicalSpace β] {s : Set α} {t : Set β} (hs : IsConnected s)
(ht : IsConnected t) : IsConnected (s ×ˢ t) :=
⟨hs.1.prod ht.1, hs.2.prod ht.2⟩
#align is_connected.prod IsConnected.prod
theorem isPreconnected_univ_pi [∀ i, TopologicalSpace (π i)] {s : ∀ i, Set (π i)}
(hs : ∀ i, IsPreconnected (s i)) : IsPreconnected (pi univ s) := by
rintro u v uo vo hsuv ⟨f, hfs, hfu⟩ ⟨g, hgs, hgv⟩
rcases exists_finset_piecewise_mem_of_mem_nhds (uo.mem_nhds hfu) g with ⟨I, hI⟩
induction' I using Finset.induction_on with i I _ ihI
· refine ⟨g, hgs, ⟨?_, hgv⟩⟩
simpa using hI
· rw [Finset.piecewise_insert] at hI
have := I.piecewise_mem_set_pi hfs hgs
refine (hsuv this).elim ihI fun h => ?_
set S := update (I.piecewise f g) i '' s i
have hsub : S ⊆ pi univ s := by
refine image_subset_iff.2 fun z hz => ?_
rwa [update_preimage_univ_pi]
exact fun j _ => this j trivial
have hconn : IsPreconnected S :=
(hs i).image _ (continuous_const.update i continuous_id).continuousOn
have hSu : (S ∩ u).Nonempty := ⟨_, mem_image_of_mem _ (hfs _ trivial), hI⟩
have hSv : (S ∩ v).Nonempty := ⟨_, ⟨_, this _ trivial, update_eq_self _ _⟩, h⟩
refine (hconn u v uo vo (hsub.trans hsuv) hSu hSv).mono ?_
exact inter_subset_inter_left _ hsub
#align is_preconnected_univ_pi isPreconnected_univ_pi
@[simp]
theorem isConnected_univ_pi [∀ i, TopologicalSpace (π i)] {s : ∀ i, Set (π i)} :
IsConnected (pi univ s) ↔ ∀ i, IsConnected (s i) := by
simp only [IsConnected, ← univ_pi_nonempty_iff, forall_and, and_congr_right_iff]
refine fun hne => ⟨fun hc i => ?_, isPreconnected_univ_pi⟩
rw [← eval_image_univ_pi hne]
exact hc.image _ (continuous_apply _).continuousOn
#align is_connected_univ_pi isConnected_univ_pi
theorem Sigma.isConnected_iff [∀ i, TopologicalSpace (π i)] {s : Set (Σi, π i)} :
IsConnected s ↔ ∃ i t, IsConnected t ∧ s = Sigma.mk i '' t := by
refine ⟨fun hs => ?_, ?_⟩
· obtain ⟨⟨i, x⟩, hx⟩ := hs.nonempty
have : s ⊆ range (Sigma.mk i) :=
hs.isPreconnected.subset_isClopen isClopen_range_sigmaMk ⟨⟨i, x⟩, hx, x, rfl⟩
exact ⟨i, Sigma.mk i ⁻¹' s, hs.preimage_of_isOpenMap sigma_mk_injective isOpenMap_sigmaMk this,
(Set.image_preimage_eq_of_subset this).symm⟩
· rintro ⟨i, t, ht, rfl⟩
exact ht.image _ continuous_sigmaMk.continuousOn
#align sigma.is_connected_iff Sigma.isConnected_iff
theorem Sigma.isPreconnected_iff [hι : Nonempty ι] [∀ i, TopologicalSpace (π i)]
{s : Set (Σi, π i)} : IsPreconnected s ↔ ∃ i t, IsPreconnected t ∧ s = Sigma.mk i '' t := by
refine ⟨fun hs => ?_, ?_⟩
· obtain rfl | h := s.eq_empty_or_nonempty
· exact ⟨Classical.choice hι, ∅, isPreconnected_empty, (Set.image_empty _).symm⟩
· obtain ⟨a, t, ht, rfl⟩ := Sigma.isConnected_iff.1 ⟨h, hs⟩
exact ⟨a, t, ht.isPreconnected, rfl⟩
· rintro ⟨a, t, ht, rfl⟩
exact ht.image _ continuous_sigmaMk.continuousOn
#align sigma.is_preconnected_iff Sigma.isPreconnected_iff
theorem Sum.isConnected_iff [TopologicalSpace β] {s : Set (Sum α β)} :
IsConnected s ↔
(∃ t, IsConnected t ∧ s = Sum.inl '' t) ∨ ∃ t, IsConnected t ∧ s = Sum.inr '' t := by
refine ⟨fun hs => ?_, ?_⟩
· obtain ⟨x | x, hx⟩ := hs.nonempty
· have h : s ⊆ range Sum.inl :=
hs.isPreconnected.subset_isClopen isClopen_range_inl ⟨.inl x, hx, x, rfl⟩
refine Or.inl ⟨Sum.inl ⁻¹' s, ?_, ?_⟩
· exact hs.preimage_of_isOpenMap Sum.inl_injective isOpenMap_inl h
· exact (image_preimage_eq_of_subset h).symm
· have h : s ⊆ range Sum.inr :=
hs.isPreconnected.subset_isClopen isClopen_range_inr ⟨.inr x, hx, x, rfl⟩
refine Or.inr ⟨Sum.inr ⁻¹' s, ?_, ?_⟩
· exact hs.preimage_of_isOpenMap Sum.inr_injective isOpenMap_inr h
· exact (image_preimage_eq_of_subset h).symm
· rintro (⟨t, ht, rfl⟩ | ⟨t, ht, rfl⟩)
· exact ht.image _ continuous_inl.continuousOn
· exact ht.image _ continuous_inr.continuousOn
#align sum.is_connected_iff Sum.isConnected_iff
theorem Sum.isPreconnected_iff [TopologicalSpace β] {s : Set (Sum α β)} :
IsPreconnected s ↔
(∃ t, IsPreconnected t ∧ s = Sum.inl '' t) ∨ ∃ t, IsPreconnected t ∧ s = Sum.inr '' t := by
refine ⟨fun hs => ?_, ?_⟩
· obtain rfl | h := s.eq_empty_or_nonempty
· exact Or.inl ⟨∅, isPreconnected_empty, (Set.image_empty _).symm⟩
obtain ⟨t, ht, rfl⟩ | ⟨t, ht, rfl⟩ := Sum.isConnected_iff.1 ⟨h, hs⟩
· exact Or.inl ⟨t, ht.isPreconnected, rfl⟩
· exact Or.inr ⟨t, ht.isPreconnected, rfl⟩
· rintro (⟨t, ht, rfl⟩ | ⟨t, ht, rfl⟩)
· exact ht.image _ continuous_inl.continuousOn
· exact ht.image _ continuous_inr.continuousOn
#align sum.is_preconnected_iff Sum.isPreconnected_iff
def connectedComponent (x : α) : Set α :=
⋃₀ { s : Set α | IsPreconnected s ∧ x ∈ s }
#align connected_component connectedComponent
def connectedComponentIn (F : Set α) (x : α) : Set α :=
if h : x ∈ F then (↑) '' connectedComponent (⟨x, h⟩ : F) else ∅
#align connected_component_in connectedComponentIn
theorem connectedComponentIn_eq_image {F : Set α} {x : α} (h : x ∈ F) :
connectedComponentIn F x = (↑) '' connectedComponent (⟨x, h⟩ : F) :=
dif_pos h
#align connected_component_in_eq_image connectedComponentIn_eq_image
theorem connectedComponentIn_eq_empty {F : Set α} {x : α} (h : x ∉ F) :
connectedComponentIn F x = ∅ :=
dif_neg h
#align connected_component_in_eq_empty connectedComponentIn_eq_empty
theorem mem_connectedComponent {x : α} : x ∈ connectedComponent x :=
mem_sUnion_of_mem (mem_singleton x) ⟨isPreconnected_singleton, mem_singleton x⟩
#align mem_connected_component mem_connectedComponent
| Mathlib/Topology/Connected/Basic.lean | 596 | 598 | theorem mem_connectedComponentIn {x : α} {F : Set α} (hx : x ∈ F) :
x ∈ connectedComponentIn F x := by |
simp [connectedComponentIn_eq_image hx, mem_connectedComponent, hx]
|
import Mathlib.Algebra.Group.Support
import Mathlib.Data.Set.Pointwise.SMul
#align_import data.set.pointwise.support from "leanprover-community/mathlib"@"f7fc89d5d5ff1db2d1242c7bb0e9062ce47ef47c"
open Pointwise
open Function Set
section Group
variable {α β γ : Type*} [Group α] [MulAction α β]
| Mathlib/Data/Set/Pointwise/Support.lean | 26 | 29 | theorem mulSupport_comp_inv_smul [One γ] (c : α) (f : β → γ) :
(mulSupport fun x ↦ f (c⁻¹ • x)) = c • mulSupport f := by |
ext x
simp only [mem_smul_set_iff_inv_smul_mem, mem_mulSupport]
|
import Mathlib.SetTheory.Cardinal.Finite
#align_import data.finite.card from "leanprover-community/mathlib"@"3ff3f2d6a3118b8711063de7111a0d77a53219a8"
noncomputable section
open scoped Classical
variable {α β γ : Type*}
def Finite.equivFin (α : Type*) [Finite α] : α ≃ Fin (Nat.card α) := by
have := (Finite.exists_equiv_fin α).choose_spec.some
rwa [Nat.card_eq_of_equiv_fin this]
#align finite.equiv_fin Finite.equivFin
def Finite.equivFinOfCardEq [Finite α] {n : ℕ} (h : Nat.card α = n) : α ≃ Fin n := by
subst h
apply Finite.equivFin
#align finite.equiv_fin_of_card_eq Finite.equivFinOfCardEq
theorem Nat.card_eq (α : Type*) :
Nat.card α = if h : Finite α then @Fintype.card α (Fintype.ofFinite α) else 0 := by
cases finite_or_infinite α
· letI := Fintype.ofFinite α
simp only [*, Nat.card_eq_fintype_card, dif_pos]
· simp only [*, card_eq_zero_of_infinite, not_finite_iff_infinite.mpr, dite_false]
#align nat.card_eq Nat.card_eq
theorem Finite.card_pos_iff [Finite α] : 0 < Nat.card α ↔ Nonempty α := by
haveI := Fintype.ofFinite α
rw [Nat.card_eq_fintype_card, Fintype.card_pos_iff]
#align finite.card_pos_iff Finite.card_pos_iff
theorem Finite.card_pos [Finite α] [h : Nonempty α] : 0 < Nat.card α :=
Finite.card_pos_iff.mpr h
#align finite.card_pos Finite.card_pos
namespace Finite
theorem cast_card_eq_mk {α : Type*} [Finite α] : ↑(Nat.card α) = Cardinal.mk α :=
Cardinal.cast_toNat_of_lt_aleph0 (Cardinal.lt_aleph0_of_finite α)
#align finite.cast_card_eq_mk Finite.cast_card_eq_mk
theorem card_eq [Finite α] [Finite β] : Nat.card α = Nat.card β ↔ Nonempty (α ≃ β) := by
haveI := Fintype.ofFinite α
haveI := Fintype.ofFinite β
simp only [Nat.card_eq_fintype_card, Fintype.card_eq]
#align finite.card_eq Finite.card_eq
theorem card_le_one_iff_subsingleton [Finite α] : Nat.card α ≤ 1 ↔ Subsingleton α := by
haveI := Fintype.ofFinite α
simp only [Nat.card_eq_fintype_card, Fintype.card_le_one_iff_subsingleton]
#align finite.card_le_one_iff_subsingleton Finite.card_le_one_iff_subsingleton
theorem one_lt_card_iff_nontrivial [Finite α] : 1 < Nat.card α ↔ Nontrivial α := by
haveI := Fintype.ofFinite α
simp only [Nat.card_eq_fintype_card, Fintype.one_lt_card_iff_nontrivial]
#align finite.one_lt_card_iff_nontrivial Finite.one_lt_card_iff_nontrivial
theorem one_lt_card [Finite α] [h : Nontrivial α] : 1 < Nat.card α :=
one_lt_card_iff_nontrivial.mpr h
#align finite.one_lt_card Finite.one_lt_card
@[simp]
theorem card_option [Finite α] : Nat.card (Option α) = Nat.card α + 1 := by
haveI := Fintype.ofFinite α
simp only [Nat.card_eq_fintype_card, Fintype.card_option]
#align finite.card_option Finite.card_option
theorem card_le_of_injective [Finite β] (f : α → β) (hf : Function.Injective f) :
Nat.card α ≤ Nat.card β := by
haveI := Fintype.ofFinite β
haveI := Fintype.ofInjective f hf
simpa only [Nat.card_eq_fintype_card, ge_iff_le] using Fintype.card_le_of_injective f hf
#align finite.card_le_of_injective Finite.card_le_of_injective
theorem card_le_of_embedding [Finite β] (f : α ↪ β) : Nat.card α ≤ Nat.card β :=
card_le_of_injective _ f.injective
#align finite.card_le_of_embedding Finite.card_le_of_embedding
theorem card_le_of_surjective [Finite α] (f : α → β) (hf : Function.Surjective f) :
Nat.card β ≤ Nat.card α := by
haveI := Fintype.ofFinite α
haveI := Fintype.ofSurjective f hf
simpa only [Nat.card_eq_fintype_card, ge_iff_le] using Fintype.card_le_of_surjective f hf
#align finite.card_le_of_surjective Finite.card_le_of_surjective
| Mathlib/Data/Finite/Card.lean | 116 | 118 | theorem card_eq_zero_iff [Finite α] : Nat.card α = 0 ↔ IsEmpty α := by |
haveI := Fintype.ofFinite α
simp only [Nat.card_eq_fintype_card, Fintype.card_eq_zero_iff]
|
import Mathlib.Algebra.Group.Units.Equiv
import Mathlib.Logic.Function.Conjugate
import Mathlib.Order.Bounds.OrderIso
import Mathlib.Order.ConditionallyCompleteLattice.Basic
import Mathlib.Order.OrdContinuous
import Mathlib.Order.RelIso.Group
#align_import order.semiconj_Sup from "leanprover-community/mathlib"@"422e70f7ce183d2900c586a8cda8381e788a0c62"
variable {α β γ : Type*}
open Set
def IsOrderRightAdjoint [Preorder α] [Preorder β] (f : α → β) (g : β → α) :=
∀ y, IsLUB { x | f x ≤ y } (g y)
#align is_order_right_adjoint IsOrderRightAdjoint
theorem isOrderRightAdjoint_sSup [CompleteLattice α] [Preorder β] (f : α → β) :
IsOrderRightAdjoint f fun y => sSup { x | f x ≤ y } := fun _ => isLUB_sSup _
#align is_order_right_adjoint_Sup isOrderRightAdjoint_sSup
theorem isOrderRightAdjoint_csSup [ConditionallyCompleteLattice α] [Preorder β] (f : α → β)
(hne : ∀ y, ∃ x, f x ≤ y) (hbdd : ∀ y, BddAbove { x | f x ≤ y }) :
IsOrderRightAdjoint f fun y => sSup { x | f x ≤ y } := fun y => isLUB_csSup (hne y) (hbdd y)
#align is_order_right_adjoint_cSup isOrderRightAdjoint_csSup
namespace Function
| Mathlib/Order/SemiconjSup.lean | 91 | 96 | theorem Semiconj.symm_adjoint [PartialOrder α] [Preorder β] {fa : α ≃o α} {fb : β ↪o β} {g : α → β}
(h : Function.Semiconj g fa fb) {g' : β → α} (hg' : IsOrderRightAdjoint g g') :
Function.Semiconj g' fb fa := by |
refine fun y => (hg' _).unique ?_
rw [← fa.surjective.image_preimage { x | g x ≤ fb y }, preimage_setOf_eq]
simp only [h.eq, fb.le_iff_le, fa.leftOrdContinuous (hg' _)]
|
import Mathlib.Algebra.Group.Subgroup.Basic
import Mathlib.Algebra.Group.Submonoid.Membership
import Mathlib.Data.Finite.Card
#align_import group_theory.subgroup.finite from "leanprover-community/mathlib"@"f93c11933efbc3c2f0299e47b8ff83e9b539cbf6"
variable {G : Type*} [Group G]
variable {A : Type*} [AddGroup A]
namespace Subgroup
section Pi
open Set
variable {η : Type*} {f : η → Type*} [∀ i, Group (f i)]
@[to_additive]
theorem pi_mem_of_mulSingle_mem_aux [DecidableEq η] (I : Finset η) {H : Subgroup (∀ i, f i)}
(x : ∀ i, f i) (h1 : ∀ i, i ∉ I → x i = 1) (h2 : ∀ i, i ∈ I → Pi.mulSingle i (x i) ∈ H) :
x ∈ H := by
induction' I using Finset.induction_on with i I hnmem ih generalizing x
· convert one_mem H
ext i
exact h1 i (Finset.not_mem_empty i)
· have : x = Function.update x i 1 * Pi.mulSingle i (x i) := by
ext j
by_cases heq : j = i
· subst heq
simp
· simp [heq]
rw [this]
clear this
apply mul_mem
· apply ih <;> clear ih
· intro j hj
by_cases heq : j = i
· subst heq
simp
· simp [heq]
apply h1 j
simpa [heq] using hj
· intro j hj
have : j ≠ i := by
rintro rfl
contradiction
simp only [ne_eq, this, not_false_eq_true, Function.update_noteq]
exact h2 _ (Finset.mem_insert_of_mem hj)
· apply h2
simp
#align subgroup.pi_mem_of_mul_single_mem_aux Subgroup.pi_mem_of_mulSingle_mem_aux
#align add_subgroup.pi_mem_of_single_mem_aux AddSubgroup.pi_mem_of_single_mem_aux
@[to_additive]
| Mathlib/Algebra/Group/Subgroup/Finite.lean | 231 | 234 | theorem pi_mem_of_mulSingle_mem [Finite η] [DecidableEq η] {H : Subgroup (∀ i, f i)} (x : ∀ i, f i)
(h : ∀ i, Pi.mulSingle i (x i) ∈ H) : x ∈ H := by |
cases nonempty_fintype η
exact pi_mem_of_mulSingle_mem_aux Finset.univ x (by simp) fun i _ => h i
|
import Mathlib.MeasureTheory.OuterMeasure.Basic
open Filter Set
open scoped ENNReal
namespace MeasureTheory
variable {α β F : Type*} [FunLike F (Set α) ℝ≥0∞] [OuterMeasureClass F α] {μ : F} {s t : Set α}
def ae (μ : F) : Filter α :=
.ofCountableUnion (μ · = 0) (fun _S hSc ↦ (measure_sUnion_null_iff hSc).2) fun _t ht _s hs ↦
measure_mono_null hs ht
#align measure_theory.measure.ae MeasureTheory.ae
notation3 "∀ᵐ "(...)" ∂"μ", "r:(scoped p => Filter.Eventually p <| MeasureTheory.ae μ) => r
notation3 "∃ᵐ "(...)" ∂"μ", "r:(scoped P => Filter.Frequently P <| MeasureTheory.ae μ) => r
notation:50 f " =ᵐ[" μ:50 "] " g:50 => Filter.EventuallyEq (MeasureTheory.ae μ) f g
notation:50 f " ≤ᵐ[" μ:50 "] " g:50 => Filter.EventuallyLE (MeasureTheory.ae μ) f g
theorem mem_ae_iff {s : Set α} : s ∈ ae μ ↔ μ sᶜ = 0 :=
Iff.rfl
#align measure_theory.mem_ae_iff MeasureTheory.mem_ae_iff
theorem ae_iff {p : α → Prop} : (∀ᵐ a ∂μ, p a) ↔ μ { a | ¬p a } = 0 :=
Iff.rfl
#align measure_theory.ae_iff MeasureTheory.ae_iff
| Mathlib/MeasureTheory/OuterMeasure/AE.lean | 79 | 79 | theorem compl_mem_ae_iff {s : Set α} : sᶜ ∈ ae μ ↔ μ s = 0 := by | simp only [mem_ae_iff, compl_compl]
|
import Mathlib.Algebra.Polynomial.FieldDivision
import Mathlib.FieldTheory.Minpoly.Basic
import Mathlib.RingTheory.Algebraic
#align_import field_theory.minpoly.field from "leanprover-community/mathlib"@"cbdf7b565832144d024caa5a550117c6df0204a5"
open scoped Classical
open Polynomial Set Function minpoly
namespace minpoly
variable {A B : Type*}
variable (A) [Field A]
section Ring
variable [Ring B] [Algebra A B] (x : B)
theorem degree_le_of_ne_zero {p : A[X]} (pnz : p ≠ 0) (hp : Polynomial.aeval x p = 0) :
degree (minpoly A x) ≤ degree p :=
calc
degree (minpoly A x) ≤ degree (p * C (leadingCoeff p)⁻¹) :=
min A x (monic_mul_leadingCoeff_inv pnz) (by simp [hp])
_ = degree p := degree_mul_leadingCoeff_inv p pnz
#align minpoly.degree_le_of_ne_zero minpoly.degree_le_of_ne_zero
theorem ne_zero_of_finite (e : B) [FiniteDimensional A B] : minpoly A e ≠ 0 :=
minpoly.ne_zero <| .of_finite A _
#align minpoly.ne_zero_of_finite_field_extension minpoly.ne_zero_of_finite
| Mathlib/FieldTheory/Minpoly/Field.lean | 53 | 62 | theorem unique {p : A[X]} (pmonic : p.Monic) (hp : Polynomial.aeval x p = 0)
(pmin : ∀ q : A[X], q.Monic → Polynomial.aeval x q = 0 → degree p ≤ degree q) :
p = minpoly A x := by |
have hx : IsIntegral A x := ⟨p, pmonic, hp⟩
symm; apply eq_of_sub_eq_zero
by_contra hnz
apply degree_le_of_ne_zero A x hnz (by simp [hp]) |>.not_lt
apply degree_sub_lt _ (minpoly.ne_zero hx)
· rw [(monic hx).leadingCoeff, pmonic.leadingCoeff]
· exact le_antisymm (min A x pmonic hp) (pmin (minpoly A x) (monic hx) (aeval A x))
|
import Mathlib.MeasureTheory.Measure.NullMeasurable
import Mathlib.MeasureTheory.MeasurableSpace.Basic
import Mathlib.Topology.Algebra.Order.LiminfLimsup
#align_import measure_theory.measure.measure_space from "leanprover-community/mathlib"@"343e80208d29d2d15f8050b929aa50fe4ce71b55"
noncomputable section
open Set
open Filter hiding map
open Function MeasurableSpace
open scoped Classical symmDiff
open Topology Filter ENNReal NNReal Interval MeasureTheory
variable {α β γ δ ι R R' : Type*}
namespace MeasureTheory
section
variable {m : MeasurableSpace α} {μ μ₁ μ₂ : Measure α} {s s₁ s₂ t : Set α}
instance ae_isMeasurablyGenerated : IsMeasurablyGenerated (ae μ) :=
⟨fun _s hs =>
let ⟨t, hst, htm, htμ⟩ := exists_measurable_superset_of_null hs
⟨tᶜ, compl_mem_ae_iff.2 htμ, htm.compl, compl_subset_comm.1 hst⟩⟩
#align measure_theory.ae_is_measurably_generated MeasureTheory.ae_isMeasurablyGenerated
theorem ae_uIoc_iff [LinearOrder α] {a b : α} {P : α → Prop} :
(∀ᵐ x ∂μ, x ∈ Ι a b → P x) ↔ (∀ᵐ x ∂μ, x ∈ Ioc a b → P x) ∧ ∀ᵐ x ∂μ, x ∈ Ioc b a → P x := by
simp only [uIoc_eq_union, mem_union, or_imp, eventually_and]
#align measure_theory.ae_uIoc_iff MeasureTheory.ae_uIoc_iff
theorem measure_union (hd : Disjoint s₁ s₂) (h : MeasurableSet s₂) : μ (s₁ ∪ s₂) = μ s₁ + μ s₂ :=
measure_union₀ h.nullMeasurableSet hd.aedisjoint
#align measure_theory.measure_union MeasureTheory.measure_union
theorem measure_union' (hd : Disjoint s₁ s₂) (h : MeasurableSet s₁) : μ (s₁ ∪ s₂) = μ s₁ + μ s₂ :=
measure_union₀' h.nullMeasurableSet hd.aedisjoint
#align measure_theory.measure_union' MeasureTheory.measure_union'
theorem measure_inter_add_diff (s : Set α) (ht : MeasurableSet t) : μ (s ∩ t) + μ (s \ t) = μ s :=
measure_inter_add_diff₀ _ ht.nullMeasurableSet
#align measure_theory.measure_inter_add_diff MeasureTheory.measure_inter_add_diff
theorem measure_diff_add_inter (s : Set α) (ht : MeasurableSet t) : μ (s \ t) + μ (s ∩ t) = μ s :=
(add_comm _ _).trans (measure_inter_add_diff s ht)
#align measure_theory.measure_diff_add_inter MeasureTheory.measure_diff_add_inter
theorem measure_union_add_inter (s : Set α) (ht : MeasurableSet t) :
μ (s ∪ t) + μ (s ∩ t) = μ s + μ t := by
rw [← measure_inter_add_diff (s ∪ t) ht, Set.union_inter_cancel_right, union_diff_right, ←
measure_inter_add_diff s ht]
ac_rfl
#align measure_theory.measure_union_add_inter MeasureTheory.measure_union_add_inter
theorem measure_union_add_inter' (hs : MeasurableSet s) (t : Set α) :
μ (s ∪ t) + μ (s ∩ t) = μ s + μ t := by
rw [union_comm, inter_comm, measure_union_add_inter t hs, add_comm]
#align measure_theory.measure_union_add_inter' MeasureTheory.measure_union_add_inter'
lemma measure_symmDiff_eq (hs : MeasurableSet s) (ht : MeasurableSet t) :
μ (s ∆ t) = μ (s \ t) + μ (t \ s) := by
simpa only [symmDiff_def, sup_eq_union] using measure_union disjoint_sdiff_sdiff (ht.diff hs)
lemma measure_symmDiff_le (s t u : Set α) :
μ (s ∆ u) ≤ μ (s ∆ t) + μ (t ∆ u) :=
le_trans (μ.mono <| symmDiff_triangle s t u) (measure_union_le (s ∆ t) (t ∆ u))
theorem measure_add_measure_compl (h : MeasurableSet s) : μ s + μ sᶜ = μ univ :=
measure_add_measure_compl₀ h.nullMeasurableSet
#align measure_theory.measure_add_measure_compl MeasureTheory.measure_add_measure_compl
theorem measure_biUnion₀ {s : Set β} {f : β → Set α} (hs : s.Countable)
(hd : s.Pairwise (AEDisjoint μ on f)) (h : ∀ b ∈ s, NullMeasurableSet (f b) μ) :
μ (⋃ b ∈ s, f b) = ∑' p : s, μ (f p) := by
haveI := hs.toEncodable
rw [biUnion_eq_iUnion]
exact measure_iUnion₀ (hd.on_injective Subtype.coe_injective fun x => x.2) fun x => h x x.2
#align measure_theory.measure_bUnion₀ MeasureTheory.measure_biUnion₀
theorem measure_biUnion {s : Set β} {f : β → Set α} (hs : s.Countable) (hd : s.PairwiseDisjoint f)
(h : ∀ b ∈ s, MeasurableSet (f b)) : μ (⋃ b ∈ s, f b) = ∑' p : s, μ (f p) :=
measure_biUnion₀ hs hd.aedisjoint fun b hb => (h b hb).nullMeasurableSet
#align measure_theory.measure_bUnion MeasureTheory.measure_biUnion
theorem measure_sUnion₀ {S : Set (Set α)} (hs : S.Countable) (hd : S.Pairwise (AEDisjoint μ))
(h : ∀ s ∈ S, NullMeasurableSet s μ) : μ (⋃₀ S) = ∑' s : S, μ s := by
rw [sUnion_eq_biUnion, measure_biUnion₀ hs hd h]
#align measure_theory.measure_sUnion₀ MeasureTheory.measure_sUnion₀
theorem measure_sUnion {S : Set (Set α)} (hs : S.Countable) (hd : S.Pairwise Disjoint)
(h : ∀ s ∈ S, MeasurableSet s) : μ (⋃₀ S) = ∑' s : S, μ s := by
rw [sUnion_eq_biUnion, measure_biUnion hs hd h]
#align measure_theory.measure_sUnion MeasureTheory.measure_sUnion
theorem measure_biUnion_finset₀ {s : Finset ι} {f : ι → Set α}
(hd : Set.Pairwise (↑s) (AEDisjoint μ on f)) (hm : ∀ b ∈ s, NullMeasurableSet (f b) μ) :
μ (⋃ b ∈ s, f b) = ∑ p ∈ s, μ (f p) := by
rw [← Finset.sum_attach, Finset.attach_eq_univ, ← tsum_fintype]
exact measure_biUnion₀ s.countable_toSet hd hm
#align measure_theory.measure_bUnion_finset₀ MeasureTheory.measure_biUnion_finset₀
theorem measure_biUnion_finset {s : Finset ι} {f : ι → Set α} (hd : PairwiseDisjoint (↑s) f)
(hm : ∀ b ∈ s, MeasurableSet (f b)) : μ (⋃ b ∈ s, f b) = ∑ p ∈ s, μ (f p) :=
measure_biUnion_finset₀ hd.aedisjoint fun b hb => (hm b hb).nullMeasurableSet
#align measure_theory.measure_bUnion_finset MeasureTheory.measure_biUnion_finset
theorem tsum_meas_le_meas_iUnion_of_disjoint₀ {ι : Type*} [MeasurableSpace α] (μ : Measure α)
{As : ι → Set α} (As_mble : ∀ i : ι, NullMeasurableSet (As i) μ)
(As_disj : Pairwise (AEDisjoint μ on As)) : (∑' i, μ (As i)) ≤ μ (⋃ i, As i) := by
rw [ENNReal.tsum_eq_iSup_sum, iSup_le_iff]
intro s
simp only [← measure_biUnion_finset₀ (fun _i _hi _j _hj hij => As_disj hij) fun i _ => As_mble i]
gcongr
exact iUnion_subset fun _ ↦ Subset.rfl
theorem tsum_meas_le_meas_iUnion_of_disjoint {ι : Type*} [MeasurableSpace α] (μ : Measure α)
{As : ι → Set α} (As_mble : ∀ i : ι, MeasurableSet (As i))
(As_disj : Pairwise (Disjoint on As)) : (∑' i, μ (As i)) ≤ μ (⋃ i, As i) :=
tsum_meas_le_meas_iUnion_of_disjoint₀ μ (fun i ↦ (As_mble i).nullMeasurableSet)
(fun _ _ h ↦ Disjoint.aedisjoint (As_disj h))
#align measure_theory.tsum_meas_le_meas_Union_of_disjoint MeasureTheory.tsum_meas_le_meas_iUnion_of_disjoint
theorem tsum_measure_preimage_singleton {s : Set β} (hs : s.Countable) {f : α → β}
(hf : ∀ y ∈ s, MeasurableSet (f ⁻¹' {y})) : (∑' b : s, μ (f ⁻¹' {↑b})) = μ (f ⁻¹' s) := by
rw [← Set.biUnion_preimage_singleton, measure_biUnion hs (pairwiseDisjoint_fiber f s) hf]
#align measure_theory.tsum_measure_preimage_singleton MeasureTheory.tsum_measure_preimage_singleton
lemma measure_preimage_eq_zero_iff_of_countable {s : Set β} {f : α → β} (hs : s.Countable) :
μ (f ⁻¹' s) = 0 ↔ ∀ x ∈ s, μ (f ⁻¹' {x}) = 0 := by
rw [← biUnion_preimage_singleton, measure_biUnion_null_iff hs]
theorem sum_measure_preimage_singleton (s : Finset β) {f : α → β}
(hf : ∀ y ∈ s, MeasurableSet (f ⁻¹' {y})) : (∑ b ∈ s, μ (f ⁻¹' {b})) = μ (f ⁻¹' ↑s) := by
simp only [← measure_biUnion_finset (pairwiseDisjoint_fiber f s) hf,
Finset.set_biUnion_preimage_singleton]
#align measure_theory.sum_measure_preimage_singleton MeasureTheory.sum_measure_preimage_singleton
theorem measure_diff_null' (h : μ (s₁ ∩ s₂) = 0) : μ (s₁ \ s₂) = μ s₁ :=
measure_congr <| diff_ae_eq_self.2 h
#align measure_theory.measure_diff_null' MeasureTheory.measure_diff_null'
theorem measure_add_diff (hs : MeasurableSet s) (t : Set α) : μ s + μ (t \ s) = μ (s ∪ t) := by
rw [← measure_union' disjoint_sdiff_right hs, union_diff_self]
#align measure_theory.measure_add_diff MeasureTheory.measure_add_diff
theorem measure_diff' (s : Set α) (hm : MeasurableSet t) (h_fin : μ t ≠ ∞) :
μ (s \ t) = μ (s ∪ t) - μ t :=
Eq.symm <| ENNReal.sub_eq_of_add_eq h_fin <| by rw [add_comm, measure_add_diff hm, union_comm]
#align measure_theory.measure_diff' MeasureTheory.measure_diff'
theorem measure_diff (h : s₂ ⊆ s₁) (h₂ : MeasurableSet s₂) (h_fin : μ s₂ ≠ ∞) :
μ (s₁ \ s₂) = μ s₁ - μ s₂ := by rw [measure_diff' _ h₂ h_fin, union_eq_self_of_subset_right h]
#align measure_theory.measure_diff MeasureTheory.measure_diff
theorem le_measure_diff : μ s₁ - μ s₂ ≤ μ (s₁ \ s₂) :=
tsub_le_iff_left.2 <| (measure_le_inter_add_diff μ s₁ s₂).trans <| by
gcongr; apply inter_subset_right
#align measure_theory.le_measure_diff MeasureTheory.le_measure_diff
theorem measure_eq_top_iff_of_symmDiff (hμst : μ (s ∆ t) ≠ ∞) : μ s = ∞ ↔ μ t = ∞ := by
suffices h : ∀ u v, μ (u ∆ v) ≠ ∞ → μ u = ∞ → μ v = ∞
from ⟨h s t hμst, h t s (symmDiff_comm s t ▸ hμst)⟩
intro u v hμuv hμu
by_contra! hμv
apply hμuv
rw [Set.symmDiff_def, eq_top_iff]
calc
∞ = μ u - μ v := (WithTop.sub_eq_top_iff.2 ⟨hμu, hμv⟩).symm
_ ≤ μ (u \ v) := le_measure_diff
_ ≤ μ (u \ v ∪ v \ u) := measure_mono subset_union_left
theorem measure_ne_top_iff_of_symmDiff (hμst : μ (s ∆ t) ≠ ∞) : μ s ≠ ∞ ↔ μ t ≠ ∞ :=
(measure_eq_top_iff_of_symmDiff hμst).ne
theorem measure_diff_lt_of_lt_add (hs : MeasurableSet s) (hst : s ⊆ t) (hs' : μ s ≠ ∞) {ε : ℝ≥0∞}
(h : μ t < μ s + ε) : μ (t \ s) < ε := by
rw [measure_diff hst hs hs']; rw [add_comm] at h
exact ENNReal.sub_lt_of_lt_add (measure_mono hst) h
#align measure_theory.measure_diff_lt_of_lt_add MeasureTheory.measure_diff_lt_of_lt_add
| Mathlib/MeasureTheory/Measure/MeasureSpace.lean | 273 | 274 | theorem measure_diff_le_iff_le_add (hs : MeasurableSet s) (hst : s ⊆ t) (hs' : μ s ≠ ∞) {ε : ℝ≥0∞} :
μ (t \ s) ≤ ε ↔ μ t ≤ μ s + ε := by | rw [measure_diff hst hs hs', tsub_le_iff_left]
|
import Mathlib.Algebra.BigOperators.Fin
import Mathlib.Algebra.Polynomial.Degree.Lemmas
#align_import data.polynomial.erase_lead from "leanprover-community/mathlib"@"fa256f00ce018e7b40e1dc756e403c86680bf448"
noncomputable section
open Polynomial
open Polynomial Finset
namespace Polynomial
variable {R : Type*} [Semiring R] {f : R[X]}
def eraseLead (f : R[X]) : R[X] :=
Polynomial.erase f.natDegree f
#align polynomial.erase_lead Polynomial.eraseLead
section EraseLead
theorem eraseLead_support (f : R[X]) : f.eraseLead.support = f.support.erase f.natDegree := by
simp only [eraseLead, support_erase]
#align polynomial.erase_lead_support Polynomial.eraseLead_support
theorem eraseLead_coeff (i : ℕ) :
f.eraseLead.coeff i = if i = f.natDegree then 0 else f.coeff i := by
simp only [eraseLead, coeff_erase]
#align polynomial.erase_lead_coeff Polynomial.eraseLead_coeff
@[simp]
theorem eraseLead_coeff_natDegree : f.eraseLead.coeff f.natDegree = 0 := by simp [eraseLead_coeff]
#align polynomial.erase_lead_coeff_nat_degree Polynomial.eraseLead_coeff_natDegree
theorem eraseLead_coeff_of_ne (i : ℕ) (hi : i ≠ f.natDegree) : f.eraseLead.coeff i = f.coeff i := by
simp [eraseLead_coeff, hi]
#align polynomial.erase_lead_coeff_of_ne Polynomial.eraseLead_coeff_of_ne
@[simp]
theorem eraseLead_zero : eraseLead (0 : R[X]) = 0 := by simp only [eraseLead, erase_zero]
#align polynomial.erase_lead_zero Polynomial.eraseLead_zero
@[simp]
theorem eraseLead_add_monomial_natDegree_leadingCoeff (f : R[X]) :
f.eraseLead + monomial f.natDegree f.leadingCoeff = f :=
(add_comm _ _).trans (f.monomial_add_erase _)
#align polynomial.erase_lead_add_monomial_nat_degree_leading_coeff Polynomial.eraseLead_add_monomial_natDegree_leadingCoeff
@[simp]
theorem eraseLead_add_C_mul_X_pow (f : R[X]) :
f.eraseLead + C f.leadingCoeff * X ^ f.natDegree = f := by
rw [C_mul_X_pow_eq_monomial, eraseLead_add_monomial_natDegree_leadingCoeff]
set_option linter.uppercaseLean3 false in
#align polynomial.erase_lead_add_C_mul_X_pow Polynomial.eraseLead_add_C_mul_X_pow
@[simp]
theorem self_sub_monomial_natDegree_leadingCoeff {R : Type*} [Ring R] (f : R[X]) :
f - monomial f.natDegree f.leadingCoeff = f.eraseLead :=
(eq_sub_iff_add_eq.mpr (eraseLead_add_monomial_natDegree_leadingCoeff f)).symm
#align polynomial.self_sub_monomial_nat_degree_leading_coeff Polynomial.self_sub_monomial_natDegree_leadingCoeff
@[simp]
theorem self_sub_C_mul_X_pow {R : Type*} [Ring R] (f : R[X]) :
f - C f.leadingCoeff * X ^ f.natDegree = f.eraseLead := by
rw [C_mul_X_pow_eq_monomial, self_sub_monomial_natDegree_leadingCoeff]
set_option linter.uppercaseLean3 false in
#align polynomial.self_sub_C_mul_X_pow Polynomial.self_sub_C_mul_X_pow
theorem eraseLead_ne_zero (f0 : 2 ≤ f.support.card) : eraseLead f ≠ 0 := by
rw [Ne, ← card_support_eq_zero, eraseLead_support]
exact
(zero_lt_one.trans_le <| (tsub_le_tsub_right f0 1).trans Finset.pred_card_le_card_erase).ne.symm
#align polynomial.erase_lead_ne_zero Polynomial.eraseLead_ne_zero
theorem lt_natDegree_of_mem_eraseLead_support {a : ℕ} (h : a ∈ (eraseLead f).support) :
a < f.natDegree := by
rw [eraseLead_support, mem_erase] at h
exact (le_natDegree_of_mem_supp a h.2).lt_of_ne h.1
#align polynomial.lt_nat_degree_of_mem_erase_lead_support Polynomial.lt_natDegree_of_mem_eraseLead_support
theorem ne_natDegree_of_mem_eraseLead_support {a : ℕ} (h : a ∈ (eraseLead f).support) :
a ≠ f.natDegree :=
(lt_natDegree_of_mem_eraseLead_support h).ne
#align polynomial.ne_nat_degree_of_mem_erase_lead_support Polynomial.ne_natDegree_of_mem_eraseLead_support
theorem natDegree_not_mem_eraseLead_support : f.natDegree ∉ (eraseLead f).support := fun h =>
ne_natDegree_of_mem_eraseLead_support h rfl
#align polynomial.nat_degree_not_mem_erase_lead_support Polynomial.natDegree_not_mem_eraseLead_support
theorem eraseLead_support_card_lt (h : f ≠ 0) : (eraseLead f).support.card < f.support.card := by
rw [eraseLead_support]
exact card_lt_card (erase_ssubset <| natDegree_mem_support_of_nonzero h)
#align polynomial.erase_lead_support_card_lt Polynomial.eraseLead_support_card_lt
theorem card_support_eraseLead_add_one (h : f ≠ 0) :
f.eraseLead.support.card + 1 = f.support.card := by
set c := f.support.card with hc
cases h₁ : c
case zero =>
by_contra
exact h (card_support_eq_zero.mp h₁)
case succ =>
rw [eraseLead_support, card_erase_of_mem (natDegree_mem_support_of_nonzero h), ← hc, h₁]
rfl
@[simp]
theorem card_support_eraseLead : f.eraseLead.support.card = f.support.card - 1 := by
by_cases hf : f = 0
· rw [hf, eraseLead_zero, support_zero, card_empty]
· rw [← card_support_eraseLead_add_one hf, add_tsub_cancel_right]
theorem card_support_eraseLead' {c : ℕ} (fc : f.support.card = c + 1) :
f.eraseLead.support.card = c := by
rw [card_support_eraseLead, fc, add_tsub_cancel_right]
#align polynomial.erase_lead_card_support' Polynomial.card_support_eraseLead'
theorem card_support_eq_one_of_eraseLead_eq_zero (h₀ : f ≠ 0) (h₁ : f.eraseLead = 0) :
f.support.card = 1 :=
(card_support_eq_zero.mpr h₁ ▸ card_support_eraseLead_add_one h₀).symm
theorem card_support_le_one_of_eraseLead_eq_zero (h : f.eraseLead = 0) : f.support.card ≤ 1 := by
by_cases hpz : f = 0
case pos => simp [hpz]
case neg => exact le_of_eq (card_support_eq_one_of_eraseLead_eq_zero hpz h)
@[simp]
theorem eraseLead_monomial (i : ℕ) (r : R) : eraseLead (monomial i r) = 0 := by
classical
by_cases hr : r = 0
· subst r
simp only [monomial_zero_right, eraseLead_zero]
· rw [eraseLead, natDegree_monomial, if_neg hr, erase_monomial]
#align polynomial.erase_lead_monomial Polynomial.eraseLead_monomial
@[simp]
theorem eraseLead_C (r : R) : eraseLead (C r) = 0 :=
eraseLead_monomial _ _
set_option linter.uppercaseLean3 false in
#align polynomial.erase_lead_C Polynomial.eraseLead_C
@[simp]
theorem eraseLead_X : eraseLead (X : R[X]) = 0 :=
eraseLead_monomial _ _
set_option linter.uppercaseLean3 false in
#align polynomial.erase_lead_X Polynomial.eraseLead_X
@[simp]
| Mathlib/Algebra/Polynomial/EraseLead.lean | 168 | 169 | theorem eraseLead_X_pow (n : ℕ) : eraseLead (X ^ n : R[X]) = 0 := by |
rw [X_pow_eq_monomial, eraseLead_monomial]
|
import Mathlib.Order.Heyting.Basic
#align_import order.boolean_algebra from "leanprover-community/mathlib"@"9ac7c0c8c4d7a535ec3e5b34b8859aab9233b2f4"
open Function OrderDual
universe u v
variable {α : Type u} {β : Type*} {w x y z : α}
class GeneralizedBooleanAlgebra (α : Type u) extends DistribLattice α, SDiff α, Bot α where
sup_inf_sdiff : ∀ a b : α, a ⊓ b ⊔ a \ b = a
inf_inf_sdiff : ∀ a b : α, a ⊓ b ⊓ a \ b = ⊥
#align generalized_boolean_algebra GeneralizedBooleanAlgebra
-- We might want an `IsCompl_of` predicate (for relative complements) generalizing `IsCompl`,
-- however we'd need another type class for lattices with bot, and all the API for that.
section GeneralizedBooleanAlgebra
variable [GeneralizedBooleanAlgebra α]
@[simp]
theorem sup_inf_sdiff (x y : α) : x ⊓ y ⊔ x \ y = x :=
GeneralizedBooleanAlgebra.sup_inf_sdiff _ _
#align sup_inf_sdiff sup_inf_sdiff
@[simp]
theorem inf_inf_sdiff (x y : α) : x ⊓ y ⊓ x \ y = ⊥ :=
GeneralizedBooleanAlgebra.inf_inf_sdiff _ _
#align inf_inf_sdiff inf_inf_sdiff
@[simp]
theorem sup_sdiff_inf (x y : α) : x \ y ⊔ x ⊓ y = x := by rw [sup_comm, sup_inf_sdiff]
#align sup_sdiff_inf sup_sdiff_inf
@[simp]
theorem inf_sdiff_inf (x y : α) : x \ y ⊓ (x ⊓ y) = ⊥ := by rw [inf_comm, inf_inf_sdiff]
#align inf_sdiff_inf inf_sdiff_inf
-- see Note [lower instance priority]
instance (priority := 100) GeneralizedBooleanAlgebra.toOrderBot : OrderBot α where
__ := GeneralizedBooleanAlgebra.toBot
bot_le a := by
rw [← inf_inf_sdiff a a, inf_assoc]
exact inf_le_left
#align generalized_boolean_algebra.to_order_bot GeneralizedBooleanAlgebra.toOrderBot
theorem disjoint_inf_sdiff : Disjoint (x ⊓ y) (x \ y) :=
disjoint_iff_inf_le.mpr (inf_inf_sdiff x y).le
#align disjoint_inf_sdiff disjoint_inf_sdiff
-- TODO: in distributive lattices, relative complements are unique when they exist
theorem sdiff_unique (s : x ⊓ y ⊔ z = x) (i : x ⊓ y ⊓ z = ⊥) : x \ y = z := by
conv_rhs at s => rw [← sup_inf_sdiff x y, sup_comm]
rw [sup_comm] at s
conv_rhs at i => rw [← inf_inf_sdiff x y, inf_comm]
rw [inf_comm] at i
exact (eq_of_inf_eq_sup_eq i s).symm
#align sdiff_unique sdiff_unique
-- Use `sdiff_le`
private theorem sdiff_le' : x \ y ≤ x :=
calc
x \ y ≤ x ⊓ y ⊔ x \ y := le_sup_right
_ = x := sup_inf_sdiff x y
-- Use `sdiff_sup_self`
private theorem sdiff_sup_self' : y \ x ⊔ x = y ⊔ x :=
calc
y \ x ⊔ x = y \ x ⊔ (x ⊔ x ⊓ y) := by rw [sup_inf_self]
_ = y ⊓ x ⊔ y \ x ⊔ x := by ac_rfl
_ = y ⊔ x := by rw [sup_inf_sdiff]
@[simp]
theorem sdiff_inf_sdiff : x \ y ⊓ y \ x = ⊥ :=
Eq.symm <|
calc
⊥ = x ⊓ y ⊓ x \ y := by rw [inf_inf_sdiff]
_ = x ⊓ (y ⊓ x ⊔ y \ x) ⊓ x \ y := by rw [sup_inf_sdiff]
_ = (x ⊓ (y ⊓ x) ⊔ x ⊓ y \ x) ⊓ x \ y := by rw [inf_sup_left]
_ = (y ⊓ (x ⊓ x) ⊔ x ⊓ y \ x) ⊓ x \ y := by ac_rfl
_ = (y ⊓ x ⊔ x ⊓ y \ x) ⊓ x \ y := by rw [inf_idem]
_ = x ⊓ y ⊓ x \ y ⊔ x ⊓ y \ x ⊓ x \ y := by rw [inf_sup_right, inf_comm x y]
_ = x ⊓ y \ x ⊓ x \ y := by rw [inf_inf_sdiff, bot_sup_eq]
_ = x ⊓ x \ y ⊓ y \ x := by ac_rfl
_ = x \ y ⊓ y \ x := by rw [inf_of_le_right sdiff_le']
#align sdiff_inf_sdiff sdiff_inf_sdiff
theorem disjoint_sdiff_sdiff : Disjoint (x \ y) (y \ x) :=
disjoint_iff_inf_le.mpr sdiff_inf_sdiff.le
#align disjoint_sdiff_sdiff disjoint_sdiff_sdiff
@[simp]
theorem inf_sdiff_self_right : x ⊓ y \ x = ⊥ :=
calc
x ⊓ y \ x = (x ⊓ y ⊔ x \ y) ⊓ y \ x := by rw [sup_inf_sdiff]
_ = x ⊓ y ⊓ y \ x ⊔ x \ y ⊓ y \ x := by rw [inf_sup_right]
_ = ⊥ := by rw [inf_comm x y, inf_inf_sdiff, sdiff_inf_sdiff, bot_sup_eq]
#align inf_sdiff_self_right inf_sdiff_self_right
@[simp]
theorem inf_sdiff_self_left : y \ x ⊓ x = ⊥ := by rw [inf_comm, inf_sdiff_self_right]
#align inf_sdiff_self_left inf_sdiff_self_left
-- see Note [lower instance priority]
instance (priority := 100) GeneralizedBooleanAlgebra.toGeneralizedCoheytingAlgebra :
GeneralizedCoheytingAlgebra α where
__ := ‹GeneralizedBooleanAlgebra α›
__ := GeneralizedBooleanAlgebra.toOrderBot
sdiff := (· \ ·)
sdiff_le_iff y x z :=
⟨fun h =>
le_of_inf_le_sup_le
(le_of_eq
(calc
y ⊓ y \ x = y \ x := inf_of_le_right sdiff_le'
_ = x ⊓ y \ x ⊔ z ⊓ y \ x := by
rw [inf_eq_right.2 h, inf_sdiff_self_right, bot_sup_eq]
_ = (x ⊔ z) ⊓ y \ x := by rw [← inf_sup_right]))
(calc
y ⊔ y \ x = y := sup_of_le_left sdiff_le'
_ ≤ y ⊔ (x ⊔ z) := le_sup_left
_ = y \ x ⊔ x ⊔ z := by rw [← sup_assoc, ← @sdiff_sup_self' _ x y]
_ = x ⊔ z ⊔ y \ x := by ac_rfl),
fun h =>
le_of_inf_le_sup_le
(calc
y \ x ⊓ x = ⊥ := inf_sdiff_self_left
_ ≤ z ⊓ x := bot_le)
(calc
y \ x ⊔ x = y ⊔ x := sdiff_sup_self'
_ ≤ x ⊔ z ⊔ x := sup_le_sup_right h x
_ ≤ z ⊔ x := by rw [sup_assoc, sup_comm, sup_assoc, sup_idem])⟩
#align generalized_boolean_algebra.to_generalized_coheyting_algebra GeneralizedBooleanAlgebra.toGeneralizedCoheytingAlgebra
theorem disjoint_sdiff_self_left : Disjoint (y \ x) x :=
disjoint_iff_inf_le.mpr inf_sdiff_self_left.le
#align disjoint_sdiff_self_left disjoint_sdiff_self_left
theorem disjoint_sdiff_self_right : Disjoint x (y \ x) :=
disjoint_iff_inf_le.mpr inf_sdiff_self_right.le
#align disjoint_sdiff_self_right disjoint_sdiff_self_right
lemma le_sdiff : x ≤ y \ z ↔ x ≤ y ∧ Disjoint x z :=
⟨fun h ↦ ⟨h.trans sdiff_le, disjoint_sdiff_self_left.mono_left h⟩, fun h ↦
by rw [← h.2.sdiff_eq_left]; exact sdiff_le_sdiff_right h.1⟩
#align le_sdiff le_sdiff
@[simp] lemma sdiff_eq_left : x \ y = x ↔ Disjoint x y :=
⟨fun h ↦ disjoint_sdiff_self_left.mono_left h.ge, Disjoint.sdiff_eq_left⟩
#align sdiff_eq_left sdiff_eq_left
theorem Disjoint.sdiff_eq_of_sup_eq (hi : Disjoint x z) (hs : x ⊔ z = y) : y \ x = z :=
have h : y ⊓ x = x := inf_eq_right.2 <| le_sup_left.trans hs.le
sdiff_unique (by rw [h, hs]) (by rw [h, hi.eq_bot])
#align disjoint.sdiff_eq_of_sup_eq Disjoint.sdiff_eq_of_sup_eq
protected theorem Disjoint.sdiff_unique (hd : Disjoint x z) (hz : z ≤ y) (hs : y ≤ x ⊔ z) :
y \ x = z :=
sdiff_unique
(by
rw [← inf_eq_right] at hs
rwa [sup_inf_right, inf_sup_right, sup_comm x, inf_sup_self, inf_comm, sup_comm z,
hs, sup_eq_left])
(by rw [inf_assoc, hd.eq_bot, inf_bot_eq])
#align disjoint.sdiff_unique Disjoint.sdiff_unique
-- cf. `IsCompl.disjoint_left_iff` and `IsCompl.disjoint_right_iff`
theorem disjoint_sdiff_iff_le (hz : z ≤ y) (hx : x ≤ y) : Disjoint z (y \ x) ↔ z ≤ x :=
⟨fun H =>
le_of_inf_le_sup_le (le_trans H.le_bot bot_le)
(by
rw [sup_sdiff_cancel_right hx]
refine le_trans (sup_le_sup_left sdiff_le z) ?_
rw [sup_eq_right.2 hz]),
fun H => disjoint_sdiff_self_right.mono_left H⟩
#align disjoint_sdiff_iff_le disjoint_sdiff_iff_le
-- cf. `IsCompl.le_left_iff` and `IsCompl.le_right_iff`
theorem le_iff_disjoint_sdiff (hz : z ≤ y) (hx : x ≤ y) : z ≤ x ↔ Disjoint z (y \ x) :=
(disjoint_sdiff_iff_le hz hx).symm
#align le_iff_disjoint_sdiff le_iff_disjoint_sdiff
-- cf. `IsCompl.inf_left_eq_bot_iff` and `IsCompl.inf_right_eq_bot_iff`
theorem inf_sdiff_eq_bot_iff (hz : z ≤ y) (hx : x ≤ y) : z ⊓ y \ x = ⊥ ↔ z ≤ x := by
rw [← disjoint_iff]
exact disjoint_sdiff_iff_le hz hx
#align inf_sdiff_eq_bot_iff inf_sdiff_eq_bot_iff
-- cf. `IsCompl.left_le_iff` and `IsCompl.right_le_iff`
theorem le_iff_eq_sup_sdiff (hz : z ≤ y) (hx : x ≤ y) : x ≤ z ↔ y = z ⊔ y \ x :=
⟨fun H => by
apply le_antisymm
· conv_lhs => rw [← sup_inf_sdiff y x]
apply sup_le_sup_right
rwa [inf_eq_right.2 hx]
· apply le_trans
· apply sup_le_sup_right hz
· rw [sup_sdiff_left],
fun H => by
conv_lhs at H => rw [← sup_sdiff_cancel_right hx]
refine le_of_inf_le_sup_le ?_ H.le
rw [inf_sdiff_self_right]
exact bot_le⟩
#align le_iff_eq_sup_sdiff le_iff_eq_sup_sdiff
-- cf. `IsCompl.sup_inf`
theorem sdiff_sup : y \ (x ⊔ z) = y \ x ⊓ y \ z :=
sdiff_unique
(calc
y ⊓ (x ⊔ z) ⊔ y \ x ⊓ y \ z = (y ⊓ (x ⊔ z) ⊔ y \ x) ⊓ (y ⊓ (x ⊔ z) ⊔ y \ z) := by
rw [sup_inf_left]
_ = (y ⊓ x ⊔ y ⊓ z ⊔ y \ x) ⊓ (y ⊓ x ⊔ y ⊓ z ⊔ y \ z) := by rw [@inf_sup_left _ _ y]
_ = (y ⊓ z ⊔ (y ⊓ x ⊔ y \ x)) ⊓ (y ⊓ x ⊔ (y ⊓ z ⊔ y \ z)) := by ac_rfl
_ = (y ⊓ z ⊔ y) ⊓ (y ⊓ x ⊔ y) := by rw [sup_inf_sdiff, sup_inf_sdiff]
_ = (y ⊔ y ⊓ z) ⊓ (y ⊔ y ⊓ x) := by ac_rfl
_ = y := by rw [sup_inf_self, sup_inf_self, inf_idem])
(calc
y ⊓ (x ⊔ z) ⊓ (y \ x ⊓ y \ z) = (y ⊓ x ⊔ y ⊓ z) ⊓ (y \ x ⊓ y \ z) := by rw [inf_sup_left]
_ = y ⊓ x ⊓ (y \ x ⊓ y \ z) ⊔ y ⊓ z ⊓ (y \ x ⊓ y \ z) := by rw [inf_sup_right]
_ = y ⊓ x ⊓ y \ x ⊓ y \ z ⊔ y \ x ⊓ (y \ z ⊓ (y ⊓ z)) := by ac_rfl
_ = ⊥ := by rw [inf_inf_sdiff, bot_inf_eq, bot_sup_eq, inf_comm (y \ z),
inf_inf_sdiff, inf_bot_eq])
#align sdiff_sup sdiff_sup
theorem sdiff_eq_sdiff_iff_inf_eq_inf : y \ x = y \ z ↔ y ⊓ x = y ⊓ z :=
⟨fun h => eq_of_inf_eq_sup_eq (by rw [inf_inf_sdiff, h, inf_inf_sdiff])
(by rw [sup_inf_sdiff, h, sup_inf_sdiff]),
fun h => by rw [← sdiff_inf_self_right, ← sdiff_inf_self_right z y, inf_comm, h, inf_comm]⟩
#align sdiff_eq_sdiff_iff_inf_eq_inf sdiff_eq_sdiff_iff_inf_eq_inf
theorem sdiff_eq_self_iff_disjoint : x \ y = x ↔ Disjoint y x :=
calc
x \ y = x ↔ x \ y = x \ ⊥ := by rw [sdiff_bot]
_ ↔ x ⊓ y = x ⊓ ⊥ := sdiff_eq_sdiff_iff_inf_eq_inf
_ ↔ Disjoint y x := by rw [inf_bot_eq, inf_comm, disjoint_iff]
#align sdiff_eq_self_iff_disjoint sdiff_eq_self_iff_disjoint
theorem sdiff_eq_self_iff_disjoint' : x \ y = x ↔ Disjoint x y := by
rw [sdiff_eq_self_iff_disjoint, disjoint_comm]
#align sdiff_eq_self_iff_disjoint' sdiff_eq_self_iff_disjoint'
theorem sdiff_lt (hx : y ≤ x) (hy : y ≠ ⊥) : x \ y < x := by
refine sdiff_le.lt_of_ne fun h => hy ?_
rw [sdiff_eq_self_iff_disjoint', disjoint_iff] at h
rw [← h, inf_eq_right.mpr hx]
#align sdiff_lt sdiff_lt
@[simp]
theorem le_sdiff_iff : x ≤ y \ x ↔ x = ⊥ :=
⟨fun h => disjoint_self.1 (disjoint_sdiff_self_right.mono_right h), fun h => h.le.trans bot_le⟩
#align le_sdiff_iff le_sdiff_iff
@[simp] lemma sdiff_eq_right : x \ y = y ↔ x = ⊥ ∧ y = ⊥ := by
rw [disjoint_sdiff_self_left.eq_iff]; aesop
lemma sdiff_ne_right : x \ y ≠ y ↔ x ≠ ⊥ ∨ y ≠ ⊥ := sdiff_eq_right.not.trans not_and_or
theorem sdiff_lt_sdiff_right (h : x < y) (hz : z ≤ x) : x \ z < y \ z :=
(sdiff_le_sdiff_right h.le).lt_of_not_le
fun h' => h.not_le <| le_sdiff_sup.trans <| sup_le_of_le_sdiff_right h' hz
#align sdiff_lt_sdiff_right sdiff_lt_sdiff_right
| Mathlib/Order/BooleanAlgebra.lean | 340 | 344 | theorem sup_inf_inf_sdiff : x ⊓ y ⊓ z ⊔ y \ z = x ⊓ y ⊔ y \ z :=
calc
x ⊓ y ⊓ z ⊔ y \ z = x ⊓ (y ⊓ z) ⊔ y \ z := by | rw [inf_assoc]
_ = (x ⊔ y \ z) ⊓ y := by rw [sup_inf_right, sup_inf_sdiff]
_ = x ⊓ y ⊔ y \ z := by rw [inf_sup_right, inf_sdiff_left]
|
import Mathlib.Order.Cover
import Mathlib.Order.Interval.Finset.Defs
#align_import data.finset.locally_finite from "leanprover-community/mathlib"@"442a83d738cb208d3600056c489be16900ba701d"
assert_not_exists MonoidWithZero
assert_not_exists Finset.sum
open Function OrderDual
open FinsetInterval
variable {ι α : Type*}
namespace Finset
section Preorder
variable [Preorder α]
section LocallyFiniteOrder
variable [LocallyFiniteOrder α] {a a₁ a₂ b b₁ b₂ c x : α}
@[simp, aesop safe apply (rule_sets := [finsetNonempty])]
theorem nonempty_Icc : (Icc a b).Nonempty ↔ a ≤ b := by
rw [← coe_nonempty, coe_Icc, Set.nonempty_Icc]
#align finset.nonempty_Icc Finset.nonempty_Icc
@[simp, aesop safe apply (rule_sets := [finsetNonempty])]
theorem nonempty_Ico : (Ico a b).Nonempty ↔ a < b := by
rw [← coe_nonempty, coe_Ico, Set.nonempty_Ico]
#align finset.nonempty_Ico Finset.nonempty_Ico
@[simp, aesop safe apply (rule_sets := [finsetNonempty])]
theorem nonempty_Ioc : (Ioc a b).Nonempty ↔ a < b := by
rw [← coe_nonempty, coe_Ioc, Set.nonempty_Ioc]
#align finset.nonempty_Ioc Finset.nonempty_Ioc
-- TODO: This is nonsense. A locally finite order is never densely ordered
@[simp]
theorem nonempty_Ioo [DenselyOrdered α] : (Ioo a b).Nonempty ↔ a < b := by
rw [← coe_nonempty, coe_Ioo, Set.nonempty_Ioo]
#align finset.nonempty_Ioo Finset.nonempty_Ioo
@[simp]
theorem Icc_eq_empty_iff : Icc a b = ∅ ↔ ¬a ≤ b := by
rw [← coe_eq_empty, coe_Icc, Set.Icc_eq_empty_iff]
#align finset.Icc_eq_empty_iff Finset.Icc_eq_empty_iff
@[simp]
theorem Ico_eq_empty_iff : Ico a b = ∅ ↔ ¬a < b := by
rw [← coe_eq_empty, coe_Ico, Set.Ico_eq_empty_iff]
#align finset.Ico_eq_empty_iff Finset.Ico_eq_empty_iff
@[simp]
theorem Ioc_eq_empty_iff : Ioc a b = ∅ ↔ ¬a < b := by
rw [← coe_eq_empty, coe_Ioc, Set.Ioc_eq_empty_iff]
#align finset.Ioc_eq_empty_iff Finset.Ioc_eq_empty_iff
-- TODO: This is nonsense. A locally finite order is never densely ordered
@[simp]
theorem Ioo_eq_empty_iff [DenselyOrdered α] : Ioo a b = ∅ ↔ ¬a < b := by
rw [← coe_eq_empty, coe_Ioo, Set.Ioo_eq_empty_iff]
#align finset.Ioo_eq_empty_iff Finset.Ioo_eq_empty_iff
alias ⟨_, Icc_eq_empty⟩ := Icc_eq_empty_iff
#align finset.Icc_eq_empty Finset.Icc_eq_empty
alias ⟨_, Ico_eq_empty⟩ := Ico_eq_empty_iff
#align finset.Ico_eq_empty Finset.Ico_eq_empty
alias ⟨_, Ioc_eq_empty⟩ := Ioc_eq_empty_iff
#align finset.Ioc_eq_empty Finset.Ioc_eq_empty
@[simp]
theorem Ioo_eq_empty (h : ¬a < b) : Ioo a b = ∅ :=
eq_empty_iff_forall_not_mem.2 fun _ hx => h ((mem_Ioo.1 hx).1.trans (mem_Ioo.1 hx).2)
#align finset.Ioo_eq_empty Finset.Ioo_eq_empty
@[simp]
theorem Icc_eq_empty_of_lt (h : b < a) : Icc a b = ∅ :=
Icc_eq_empty h.not_le
#align finset.Icc_eq_empty_of_lt Finset.Icc_eq_empty_of_lt
@[simp]
theorem Ico_eq_empty_of_le (h : b ≤ a) : Ico a b = ∅ :=
Ico_eq_empty h.not_lt
#align finset.Ico_eq_empty_of_le Finset.Ico_eq_empty_of_le
@[simp]
theorem Ioc_eq_empty_of_le (h : b ≤ a) : Ioc a b = ∅ :=
Ioc_eq_empty h.not_lt
#align finset.Ioc_eq_empty_of_le Finset.Ioc_eq_empty_of_le
@[simp]
theorem Ioo_eq_empty_of_le (h : b ≤ a) : Ioo a b = ∅ :=
Ioo_eq_empty h.not_lt
#align finset.Ioo_eq_empty_of_le Finset.Ioo_eq_empty_of_le
-- porting note (#10618): simp can prove this
-- @[simp]
theorem left_mem_Icc : a ∈ Icc a b ↔ a ≤ b := by simp only [mem_Icc, true_and_iff, le_rfl]
#align finset.left_mem_Icc Finset.left_mem_Icc
-- porting note (#10618): simp can prove this
-- @[simp]
theorem left_mem_Ico : a ∈ Ico a b ↔ a < b := by simp only [mem_Ico, true_and_iff, le_refl]
#align finset.left_mem_Ico Finset.left_mem_Ico
-- porting note (#10618): simp can prove this
-- @[simp]
theorem right_mem_Icc : b ∈ Icc a b ↔ a ≤ b := by simp only [mem_Icc, and_true_iff, le_rfl]
#align finset.right_mem_Icc Finset.right_mem_Icc
-- porting note (#10618): simp can prove this
-- @[simp]
theorem right_mem_Ioc : b ∈ Ioc a b ↔ a < b := by simp only [mem_Ioc, and_true_iff, le_rfl]
#align finset.right_mem_Ioc Finset.right_mem_Ioc
-- porting note (#10618): simp can prove this
-- @[simp]
theorem left_not_mem_Ioc : a ∉ Ioc a b := fun h => lt_irrefl _ (mem_Ioc.1 h).1
#align finset.left_not_mem_Ioc Finset.left_not_mem_Ioc
-- porting note (#10618): simp can prove this
-- @[simp]
theorem left_not_mem_Ioo : a ∉ Ioo a b := fun h => lt_irrefl _ (mem_Ioo.1 h).1
#align finset.left_not_mem_Ioo Finset.left_not_mem_Ioo
-- porting note (#10618): simp can prove this
-- @[simp]
theorem right_not_mem_Ico : b ∉ Ico a b := fun h => lt_irrefl _ (mem_Ico.1 h).2
#align finset.right_not_mem_Ico Finset.right_not_mem_Ico
-- porting note (#10618): simp can prove this
-- @[simp]
theorem right_not_mem_Ioo : b ∉ Ioo a b := fun h => lt_irrefl _ (mem_Ioo.1 h).2
#align finset.right_not_mem_Ioo Finset.right_not_mem_Ioo
theorem Icc_subset_Icc (ha : a₂ ≤ a₁) (hb : b₁ ≤ b₂) : Icc a₁ b₁ ⊆ Icc a₂ b₂ := by
simpa [← coe_subset] using Set.Icc_subset_Icc ha hb
#align finset.Icc_subset_Icc Finset.Icc_subset_Icc
theorem Ico_subset_Ico (ha : a₂ ≤ a₁) (hb : b₁ ≤ b₂) : Ico a₁ b₁ ⊆ Ico a₂ b₂ := by
simpa [← coe_subset] using Set.Ico_subset_Ico ha hb
#align finset.Ico_subset_Ico Finset.Ico_subset_Ico
theorem Ioc_subset_Ioc (ha : a₂ ≤ a₁) (hb : b₁ ≤ b₂) : Ioc a₁ b₁ ⊆ Ioc a₂ b₂ := by
simpa [← coe_subset] using Set.Ioc_subset_Ioc ha hb
#align finset.Ioc_subset_Ioc Finset.Ioc_subset_Ioc
theorem Ioo_subset_Ioo (ha : a₂ ≤ a₁) (hb : b₁ ≤ b₂) : Ioo a₁ b₁ ⊆ Ioo a₂ b₂ := by
simpa [← coe_subset] using Set.Ioo_subset_Ioo ha hb
#align finset.Ioo_subset_Ioo Finset.Ioo_subset_Ioo
theorem Icc_subset_Icc_left (h : a₁ ≤ a₂) : Icc a₂ b ⊆ Icc a₁ b :=
Icc_subset_Icc h le_rfl
#align finset.Icc_subset_Icc_left Finset.Icc_subset_Icc_left
theorem Ico_subset_Ico_left (h : a₁ ≤ a₂) : Ico a₂ b ⊆ Ico a₁ b :=
Ico_subset_Ico h le_rfl
#align finset.Ico_subset_Ico_left Finset.Ico_subset_Ico_left
theorem Ioc_subset_Ioc_left (h : a₁ ≤ a₂) : Ioc a₂ b ⊆ Ioc a₁ b :=
Ioc_subset_Ioc h le_rfl
#align finset.Ioc_subset_Ioc_left Finset.Ioc_subset_Ioc_left
theorem Ioo_subset_Ioo_left (h : a₁ ≤ a₂) : Ioo a₂ b ⊆ Ioo a₁ b :=
Ioo_subset_Ioo h le_rfl
#align finset.Ioo_subset_Ioo_left Finset.Ioo_subset_Ioo_left
theorem Icc_subset_Icc_right (h : b₁ ≤ b₂) : Icc a b₁ ⊆ Icc a b₂ :=
Icc_subset_Icc le_rfl h
#align finset.Icc_subset_Icc_right Finset.Icc_subset_Icc_right
theorem Ico_subset_Ico_right (h : b₁ ≤ b₂) : Ico a b₁ ⊆ Ico a b₂ :=
Ico_subset_Ico le_rfl h
#align finset.Ico_subset_Ico_right Finset.Ico_subset_Ico_right
theorem Ioc_subset_Ioc_right (h : b₁ ≤ b₂) : Ioc a b₁ ⊆ Ioc a b₂ :=
Ioc_subset_Ioc le_rfl h
#align finset.Ioc_subset_Ioc_right Finset.Ioc_subset_Ioc_right
theorem Ioo_subset_Ioo_right (h : b₁ ≤ b₂) : Ioo a b₁ ⊆ Ioo a b₂ :=
Ioo_subset_Ioo le_rfl h
#align finset.Ioo_subset_Ioo_right Finset.Ioo_subset_Ioo_right
theorem Ico_subset_Ioo_left (h : a₁ < a₂) : Ico a₂ b ⊆ Ioo a₁ b := by
rw [← coe_subset, coe_Ico, coe_Ioo]
exact Set.Ico_subset_Ioo_left h
#align finset.Ico_subset_Ioo_left Finset.Ico_subset_Ioo_left
| Mathlib/Order/Interval/Finset/Basic.lean | 225 | 227 | theorem Ioc_subset_Ioo_right (h : b₁ < b₂) : Ioc a b₁ ⊆ Ioo a b₂ := by |
rw [← coe_subset, coe_Ioc, coe_Ioo]
exact Set.Ioc_subset_Ioo_right h
|
import Mathlib.Algebra.GroupPower.IterateHom
import Mathlib.Algebra.Ring.Divisibility.Basic
import Mathlib.Data.List.Cycle
import Mathlib.Data.Nat.Prime
import Mathlib.Data.PNat.Basic
import Mathlib.Dynamics.FixedPoints.Basic
import Mathlib.GroupTheory.GroupAction.Group
#align_import dynamics.periodic_pts from "leanprover-community/mathlib"@"d07245fd37786daa997af4f1a73a49fa3b748408"
open Set
namespace Function
open Function (Commute)
variable {α : Type*} {β : Type*} {f fa : α → α} {fb : β → β} {x y : α} {m n : ℕ}
def IsPeriodicPt (f : α → α) (n : ℕ) (x : α) :=
IsFixedPt f^[n] x
#align function.is_periodic_pt Function.IsPeriodicPt
theorem IsFixedPt.isPeriodicPt (hf : IsFixedPt f x) (n : ℕ) : IsPeriodicPt f n x :=
hf.iterate n
#align function.is_fixed_pt.is_periodic_pt Function.IsFixedPt.isPeriodicPt
theorem is_periodic_id (n : ℕ) (x : α) : IsPeriodicPt id n x :=
(isFixedPt_id x).isPeriodicPt n
#align function.is_periodic_id Function.is_periodic_id
theorem isPeriodicPt_zero (f : α → α) (x : α) : IsPeriodicPt f 0 x :=
isFixedPt_id x
#align function.is_periodic_pt_zero Function.isPeriodicPt_zero
namespace IsPeriodicPt
instance [DecidableEq α] {f : α → α} {n : ℕ} {x : α} : Decidable (IsPeriodicPt f n x) :=
IsFixedPt.decidable
protected theorem isFixedPt (hf : IsPeriodicPt f n x) : IsFixedPt f^[n] x :=
hf
#align function.is_periodic_pt.is_fixed_pt Function.IsPeriodicPt.isFixedPt
protected theorem map (hx : IsPeriodicPt fa n x) {g : α → β} (hg : Semiconj g fa fb) :
IsPeriodicPt fb n (g x) :=
IsFixedPt.map hx (hg.iterate_right n)
#align function.is_periodic_pt.map Function.IsPeriodicPt.map
theorem apply_iterate (hx : IsPeriodicPt f n x) (m : ℕ) : IsPeriodicPt f n (f^[m] x) :=
hx.map <| Commute.iterate_self f m
#align function.is_periodic_pt.apply_iterate Function.IsPeriodicPt.apply_iterate
protected theorem apply (hx : IsPeriodicPt f n x) : IsPeriodicPt f n (f x) :=
hx.apply_iterate 1
#align function.is_periodic_pt.apply Function.IsPeriodicPt.apply
protected theorem add (hn : IsPeriodicPt f n x) (hm : IsPeriodicPt f m x) :
IsPeriodicPt f (n + m) x := by
rw [IsPeriodicPt, iterate_add]
exact hn.comp hm
#align function.is_periodic_pt.add Function.IsPeriodicPt.add
theorem left_of_add (hn : IsPeriodicPt f (n + m) x) (hm : IsPeriodicPt f m x) :
IsPeriodicPt f n x := by
rw [IsPeriodicPt, iterate_add] at hn
exact hn.left_of_comp hm
#align function.is_periodic_pt.left_of_add Function.IsPeriodicPt.left_of_add
| Mathlib/Dynamics/PeriodicPts.lean | 112 | 115 | theorem right_of_add (hn : IsPeriodicPt f (n + m) x) (hm : IsPeriodicPt f n x) :
IsPeriodicPt f m x := by |
rw [add_comm] at hn
exact hn.left_of_add hm
|
import Mathlib.Data.PNat.Prime
import Mathlib.Algebra.IsPrimePow
import Mathlib.NumberTheory.Cyclotomic.Basic
import Mathlib.RingTheory.Adjoin.PowerBasis
import Mathlib.RingTheory.Polynomial.Cyclotomic.Eval
import Mathlib.RingTheory.Norm
import Mathlib.RingTheory.Polynomial.Cyclotomic.Expand
#align_import number_theory.cyclotomic.primitive_roots from "leanprover-community/mathlib"@"5bfbcca0a7ffdd21cf1682e59106d6c942434a32"
open Polynomial Algebra Finset FiniteDimensional IsCyclotomicExtension Nat PNat Set
open scoped IntermediateField
universe u v w z
variable {p n : ℕ+} (A : Type w) (B : Type z) (K : Type u) {L : Type v} (C : Type w)
variable [CommRing A] [CommRing B] [Algebra A B] [IsCyclotomicExtension {n} A B]
section Zeta
section NoOrder
variable [Field K] [CommRing L] [IsDomain L] [Algebra K L] [IsCyclotomicExtension {n} K L] {ζ : L}
(hζ : IsPrimitiveRoot ζ n)
section Norm
namespace IsPrimitiveRoot
section CommRing
variable [CommRing L] {ζ : L} (hζ : IsPrimitiveRoot ζ n)
variable {K} [Field K] [Algebra K L]
| Mathlib/NumberTheory/Cyclotomic/PrimitiveRoots.lean | 289 | 291 | theorem norm_eq_neg_one_pow (hζ : IsPrimitiveRoot ζ 2) [IsDomain L] :
norm K ζ = (-1 : K) ^ finrank K L := by |
rw [hζ.eq_neg_one_of_two_right, show -1 = algebraMap K L (-1) by simp, Algebra.norm_algebraMap]
|
import Mathlib.Algebra.GroupWithZero.Divisibility
import Mathlib.Algebra.Ring.Divisibility.Basic
import Mathlib.Algebra.Ring.Hom.Defs
import Mathlib.GroupTheory.GroupAction.Units
import Mathlib.Logic.Basic
import Mathlib.Tactic.Ring
#align_import ring_theory.coprime.basic from "leanprover-community/mathlib"@"a95b16cbade0f938fc24abd05412bde1e84bab9b"
universe u v
section CommSemiring
variable {R : Type u} [CommSemiring R] (x y z : R)
def IsCoprime : Prop :=
∃ a b, a * x + b * y = 1
#align is_coprime IsCoprime
variable {x y z}
@[symm]
theorem IsCoprime.symm (H : IsCoprime x y) : IsCoprime y x :=
let ⟨a, b, H⟩ := H
⟨b, a, by rw [add_comm, H]⟩
#align is_coprime.symm IsCoprime.symm
theorem isCoprime_comm : IsCoprime x y ↔ IsCoprime y x :=
⟨IsCoprime.symm, IsCoprime.symm⟩
#align is_coprime_comm isCoprime_comm
theorem isCoprime_self : IsCoprime x x ↔ IsUnit x :=
⟨fun ⟨a, b, h⟩ => isUnit_of_mul_eq_one x (a + b) <| by rwa [mul_comm, add_mul], fun h =>
let ⟨b, hb⟩ := isUnit_iff_exists_inv'.1 h
⟨b, 0, by rwa [zero_mul, add_zero]⟩⟩
#align is_coprime_self isCoprime_self
theorem isCoprime_zero_left : IsCoprime 0 x ↔ IsUnit x :=
⟨fun ⟨a, b, H⟩ => isUnit_of_mul_eq_one x b <| by rwa [mul_zero, zero_add, mul_comm] at H, fun H =>
let ⟨b, hb⟩ := isUnit_iff_exists_inv'.1 H
⟨1, b, by rwa [one_mul, zero_add]⟩⟩
#align is_coprime_zero_left isCoprime_zero_left
theorem isCoprime_zero_right : IsCoprime x 0 ↔ IsUnit x :=
isCoprime_comm.trans isCoprime_zero_left
#align is_coprime_zero_right isCoprime_zero_right
theorem not_isCoprime_zero_zero [Nontrivial R] : ¬IsCoprime (0 : R) 0 :=
mt isCoprime_zero_right.mp not_isUnit_zero
#align not_coprime_zero_zero not_isCoprime_zero_zero
lemma IsCoprime.intCast {R : Type*} [CommRing R] {a b : ℤ} (h : IsCoprime a b) :
IsCoprime (a : R) (b : R) := by
rcases h with ⟨u, v, H⟩
use u, v
rw_mod_cast [H]
exact Int.cast_one
theorem IsCoprime.ne_zero [Nontrivial R] {p : Fin 2 → R} (h : IsCoprime (p 0) (p 1)) : p ≠ 0 := by
rintro rfl
exact not_isCoprime_zero_zero h
#align is_coprime.ne_zero IsCoprime.ne_zero
theorem IsCoprime.ne_zero_or_ne_zero [Nontrivial R] (h : IsCoprime x y) : x ≠ 0 ∨ y ≠ 0 := by
apply not_or_of_imp
rintro rfl rfl
exact not_isCoprime_zero_zero h
theorem isCoprime_one_left : IsCoprime 1 x :=
⟨1, 0, by rw [one_mul, zero_mul, add_zero]⟩
#align is_coprime_one_left isCoprime_one_left
theorem isCoprime_one_right : IsCoprime x 1 :=
⟨0, 1, by rw [one_mul, zero_mul, zero_add]⟩
#align is_coprime_one_right isCoprime_one_right
theorem IsCoprime.dvd_of_dvd_mul_right (H1 : IsCoprime x z) (H2 : x ∣ y * z) : x ∣ y := by
let ⟨a, b, H⟩ := H1
rw [← mul_one y, ← H, mul_add, ← mul_assoc, mul_left_comm]
exact dvd_add (dvd_mul_left _ _) (H2.mul_left _)
#align is_coprime.dvd_of_dvd_mul_right IsCoprime.dvd_of_dvd_mul_right
theorem IsCoprime.dvd_of_dvd_mul_left (H1 : IsCoprime x y) (H2 : x ∣ y * z) : x ∣ z := by
let ⟨a, b, H⟩ := H1
rw [← one_mul z, ← H, add_mul, mul_right_comm, mul_assoc b]
exact dvd_add (dvd_mul_left _ _) (H2.mul_left _)
#align is_coprime.dvd_of_dvd_mul_left IsCoprime.dvd_of_dvd_mul_left
theorem IsCoprime.mul_left (H1 : IsCoprime x z) (H2 : IsCoprime y z) : IsCoprime (x * y) z :=
let ⟨a, b, h1⟩ := H1
let ⟨c, d, h2⟩ := H2
⟨a * c, a * x * d + b * c * y + b * d * z,
calc a * c * (x * y) + (a * x * d + b * c * y + b * d * z) * z
_ = (a * x + b * z) * (c * y + d * z) := by ring
_ = 1 := by rw [h1, h2, mul_one]
⟩
#align is_coprime.mul_left IsCoprime.mul_left
theorem IsCoprime.mul_right (H1 : IsCoprime x y) (H2 : IsCoprime x z) : IsCoprime x (y * z) := by
rw [isCoprime_comm] at H1 H2 ⊢
exact H1.mul_left H2
#align is_coprime.mul_right IsCoprime.mul_right
theorem IsCoprime.mul_dvd (H : IsCoprime x y) (H1 : x ∣ z) (H2 : y ∣ z) : x * y ∣ z := by
obtain ⟨a, b, h⟩ := H
rw [← mul_one z, ← h, mul_add]
apply dvd_add
· rw [mul_comm z, mul_assoc]
exact (mul_dvd_mul_left _ H2).mul_left _
· rw [mul_comm b, ← mul_assoc]
exact (mul_dvd_mul_right H1 _).mul_right _
#align is_coprime.mul_dvd IsCoprime.mul_dvd
theorem IsCoprime.of_mul_left_left (H : IsCoprime (x * y) z) : IsCoprime x z :=
let ⟨a, b, h⟩ := H
⟨a * y, b, by rwa [mul_right_comm, mul_assoc]⟩
#align is_coprime.of_mul_left_left IsCoprime.of_mul_left_left
theorem IsCoprime.of_mul_left_right (H : IsCoprime (x * y) z) : IsCoprime y z := by
rw [mul_comm] at H
exact H.of_mul_left_left
#align is_coprime.of_mul_left_right IsCoprime.of_mul_left_right
theorem IsCoprime.of_mul_right_left (H : IsCoprime x (y * z)) : IsCoprime x y := by
rw [isCoprime_comm] at H ⊢
exact H.of_mul_left_left
#align is_coprime.of_mul_right_left IsCoprime.of_mul_right_left
theorem IsCoprime.of_mul_right_right (H : IsCoprime x (y * z)) : IsCoprime x z := by
rw [mul_comm] at H
exact H.of_mul_right_left
#align is_coprime.of_mul_right_right IsCoprime.of_mul_right_right
theorem IsCoprime.mul_left_iff : IsCoprime (x * y) z ↔ IsCoprime x z ∧ IsCoprime y z :=
⟨fun H => ⟨H.of_mul_left_left, H.of_mul_left_right⟩, fun ⟨H1, H2⟩ => H1.mul_left H2⟩
#align is_coprime.mul_left_iff IsCoprime.mul_left_iff
theorem IsCoprime.mul_right_iff : IsCoprime x (y * z) ↔ IsCoprime x y ∧ IsCoprime x z := by
rw [isCoprime_comm, IsCoprime.mul_left_iff, isCoprime_comm, @isCoprime_comm _ _ z]
#align is_coprime.mul_right_iff IsCoprime.mul_right_iff
theorem IsCoprime.of_isCoprime_of_dvd_left (h : IsCoprime y z) (hdvd : x ∣ y) : IsCoprime x z := by
obtain ⟨d, rfl⟩ := hdvd
exact IsCoprime.of_mul_left_left h
#align is_coprime.of_coprime_of_dvd_left IsCoprime.of_isCoprime_of_dvd_left
theorem IsCoprime.of_isCoprime_of_dvd_right (h : IsCoprime z y) (hdvd : x ∣ y) : IsCoprime z x :=
(h.symm.of_isCoprime_of_dvd_left hdvd).symm
#align is_coprime.of_coprime_of_dvd_right IsCoprime.of_isCoprime_of_dvd_right
theorem IsCoprime.isUnit_of_dvd (H : IsCoprime x y) (d : x ∣ y) : IsUnit x :=
let ⟨k, hk⟩ := d
isCoprime_self.1 <| IsCoprime.of_mul_right_left <| show IsCoprime x (x * k) from hk ▸ H
#align is_coprime.is_unit_of_dvd IsCoprime.isUnit_of_dvd
theorem IsCoprime.isUnit_of_dvd' {a b x : R} (h : IsCoprime a b) (ha : x ∣ a) (hb : x ∣ b) :
IsUnit x :=
(h.of_isCoprime_of_dvd_left ha).isUnit_of_dvd hb
#align is_coprime.is_unit_of_dvd' IsCoprime.isUnit_of_dvd'
theorem IsCoprime.isRelPrime {a b : R} (h : IsCoprime a b) : IsRelPrime a b :=
fun _ ↦ h.isUnit_of_dvd'
theorem IsCoprime.map (H : IsCoprime x y) {S : Type v} [CommSemiring S] (f : R →+* S) :
IsCoprime (f x) (f y) :=
let ⟨a, b, h⟩ := H
⟨f a, f b, by rw [← f.map_mul, ← f.map_mul, ← f.map_add, h, f.map_one]⟩
#align is_coprime.map IsCoprime.map
theorem IsCoprime.of_add_mul_left_left (h : IsCoprime (x + y * z) y) : IsCoprime x y :=
let ⟨a, b, H⟩ := h
⟨a, a * z + b, by
simpa only [add_mul, mul_add, add_assoc, add_comm, add_left_comm, mul_assoc, mul_comm,
mul_left_comm] using H⟩
#align is_coprime.of_add_mul_left_left IsCoprime.of_add_mul_left_left
theorem IsCoprime.of_add_mul_right_left (h : IsCoprime (x + z * y) y) : IsCoprime x y := by
rw [mul_comm] at h
exact h.of_add_mul_left_left
#align is_coprime.of_add_mul_right_left IsCoprime.of_add_mul_right_left
theorem IsCoprime.of_add_mul_left_right (h : IsCoprime x (y + x * z)) : IsCoprime x y := by
rw [isCoprime_comm] at h ⊢
exact h.of_add_mul_left_left
#align is_coprime.of_add_mul_left_right IsCoprime.of_add_mul_left_right
theorem IsCoprime.of_add_mul_right_right (h : IsCoprime x (y + z * x)) : IsCoprime x y := by
rw [mul_comm] at h
exact h.of_add_mul_left_right
#align is_coprime.of_add_mul_right_right IsCoprime.of_add_mul_right_right
| Mathlib/RingTheory/Coprime/Basic.lean | 217 | 219 | theorem IsCoprime.of_mul_add_left_left (h : IsCoprime (y * z + x) y) : IsCoprime x y := by |
rw [add_comm] at h
exact h.of_add_mul_left_left
|
import Mathlib.Dynamics.Ergodic.MeasurePreserving
import Mathlib.MeasureTheory.Function.SimpleFunc
import Mathlib.MeasureTheory.Measure.MutuallySingular
import Mathlib.MeasureTheory.Measure.Count
import Mathlib.Topology.IndicatorConstPointwise
import Mathlib.MeasureTheory.Constructions.BorelSpace.Real
#align_import measure_theory.integral.lebesgue from "leanprover-community/mathlib"@"c14c8fcde993801fca8946b0d80131a1a81d1520"
assert_not_exists NormedSpace
set_option autoImplicit true
noncomputable section
open Set hiding restrict restrict_apply
open Filter ENNReal
open Function (support)
open scoped Classical
open Topology NNReal ENNReal MeasureTheory
namespace MeasureTheory
local infixr:25 " →ₛ " => SimpleFunc
variable {α β γ δ : Type*}
section Lintegral
open SimpleFunc
variable {m : MeasurableSpace α} {μ ν : Measure α}
irreducible_def lintegral {_ : MeasurableSpace α} (μ : Measure α) (f : α → ℝ≥0∞) : ℝ≥0∞ :=
⨆ (g : α →ₛ ℝ≥0∞) (_ : ⇑g ≤ f), g.lintegral μ
#align measure_theory.lintegral MeasureTheory.lintegral
@[inherit_doc MeasureTheory.lintegral]
notation3 "∫⁻ "(...)", "r:60:(scoped f => f)" ∂"μ:70 => lintegral μ r
@[inherit_doc MeasureTheory.lintegral]
notation3 "∫⁻ "(...)", "r:60:(scoped f => lintegral volume f) => r
@[inherit_doc MeasureTheory.lintegral]
notation3"∫⁻ "(...)" in "s", "r:60:(scoped f => f)" ∂"μ:70 => lintegral (Measure.restrict μ s) r
@[inherit_doc MeasureTheory.lintegral]
notation3"∫⁻ "(...)" in "s", "r:60:(scoped f => lintegral (Measure.restrict volume s) f) => r
theorem SimpleFunc.lintegral_eq_lintegral {m : MeasurableSpace α} (f : α →ₛ ℝ≥0∞) (μ : Measure α) :
∫⁻ a, f a ∂μ = f.lintegral μ := by
rw [MeasureTheory.lintegral]
exact le_antisymm (iSup₂_le fun g hg => lintegral_mono hg <| le_rfl)
(le_iSup₂_of_le f le_rfl le_rfl)
#align measure_theory.simple_func.lintegral_eq_lintegral MeasureTheory.SimpleFunc.lintegral_eq_lintegral
@[mono]
theorem lintegral_mono' {m : MeasurableSpace α} ⦃μ ν : Measure α⦄ (hμν : μ ≤ ν) ⦃f g : α → ℝ≥0∞⦄
(hfg : f ≤ g) : ∫⁻ a, f a ∂μ ≤ ∫⁻ a, g a ∂ν := by
rw [lintegral, lintegral]
exact iSup_mono fun φ => iSup_mono' fun hφ => ⟨le_trans hφ hfg, lintegral_mono (le_refl φ) hμν⟩
#align measure_theory.lintegral_mono' MeasureTheory.lintegral_mono'
-- workaround for the known eta-reduction issue with `@[gcongr]`
@[gcongr] theorem lintegral_mono_fn' ⦃f g : α → ℝ≥0∞⦄ (hfg : ∀ x, f x ≤ g x) (h2 : μ ≤ ν) :
lintegral μ f ≤ lintegral ν g :=
lintegral_mono' h2 hfg
theorem lintegral_mono ⦃f g : α → ℝ≥0∞⦄ (hfg : f ≤ g) : ∫⁻ a, f a ∂μ ≤ ∫⁻ a, g a ∂μ :=
lintegral_mono' (le_refl μ) hfg
#align measure_theory.lintegral_mono MeasureTheory.lintegral_mono
-- workaround for the known eta-reduction issue with `@[gcongr]`
@[gcongr] theorem lintegral_mono_fn ⦃f g : α → ℝ≥0∞⦄ (hfg : ∀ x, f x ≤ g x) :
lintegral μ f ≤ lintegral μ g :=
lintegral_mono hfg
theorem lintegral_mono_nnreal {f g : α → ℝ≥0} (h : f ≤ g) : ∫⁻ a, f a ∂μ ≤ ∫⁻ a, g a ∂μ :=
lintegral_mono fun a => ENNReal.coe_le_coe.2 (h a)
#align measure_theory.lintegral_mono_nnreal MeasureTheory.lintegral_mono_nnreal
theorem iSup_lintegral_measurable_le_eq_lintegral (f : α → ℝ≥0∞) :
⨆ (g : α → ℝ≥0∞) (_ : Measurable g) (_ : g ≤ f), ∫⁻ a, g a ∂μ = ∫⁻ a, f a ∂μ := by
apply le_antisymm
· exact iSup_le fun i => iSup_le fun _ => iSup_le fun h'i => lintegral_mono h'i
· rw [lintegral]
refine iSup₂_le fun i hi => le_iSup₂_of_le i i.measurable <| le_iSup_of_le hi ?_
exact le_of_eq (i.lintegral_eq_lintegral _).symm
#align measure_theory.supr_lintegral_measurable_le_eq_lintegral MeasureTheory.iSup_lintegral_measurable_le_eq_lintegral
theorem lintegral_mono_set {_ : MeasurableSpace α} ⦃μ : Measure α⦄ {s t : Set α} {f : α → ℝ≥0∞}
(hst : s ⊆ t) : ∫⁻ x in s, f x ∂μ ≤ ∫⁻ x in t, f x ∂μ :=
lintegral_mono' (Measure.restrict_mono hst (le_refl μ)) (le_refl f)
#align measure_theory.lintegral_mono_set MeasureTheory.lintegral_mono_set
theorem lintegral_mono_set' {_ : MeasurableSpace α} ⦃μ : Measure α⦄ {s t : Set α} {f : α → ℝ≥0∞}
(hst : s ≤ᵐ[μ] t) : ∫⁻ x in s, f x ∂μ ≤ ∫⁻ x in t, f x ∂μ :=
lintegral_mono' (Measure.restrict_mono' hst (le_refl μ)) (le_refl f)
#align measure_theory.lintegral_mono_set' MeasureTheory.lintegral_mono_set'
theorem monotone_lintegral {_ : MeasurableSpace α} (μ : Measure α) : Monotone (lintegral μ) :=
lintegral_mono
#align measure_theory.monotone_lintegral MeasureTheory.monotone_lintegral
@[simp]
theorem lintegral_const (c : ℝ≥0∞) : ∫⁻ _, c ∂μ = c * μ univ := by
rw [← SimpleFunc.const_lintegral, ← SimpleFunc.lintegral_eq_lintegral, SimpleFunc.coe_const]
rfl
#align measure_theory.lintegral_const MeasureTheory.lintegral_const
theorem lintegral_zero : ∫⁻ _ : α, 0 ∂μ = 0 := by simp
#align measure_theory.lintegral_zero MeasureTheory.lintegral_zero
theorem lintegral_zero_fun : lintegral μ (0 : α → ℝ≥0∞) = 0 :=
lintegral_zero
#align measure_theory.lintegral_zero_fun MeasureTheory.lintegral_zero_fun
-- @[simp] -- Porting note (#10618): simp can prove this
theorem lintegral_one : ∫⁻ _, (1 : ℝ≥0∞) ∂μ = μ univ := by rw [lintegral_const, one_mul]
#align measure_theory.lintegral_one MeasureTheory.lintegral_one
| Mathlib/MeasureTheory/Integral/Lebesgue.lean | 154 | 155 | theorem set_lintegral_const (s : Set α) (c : ℝ≥0∞) : ∫⁻ _ in s, c ∂μ = c * μ s := by |
rw [lintegral_const, Measure.restrict_apply_univ]
|
import Mathlib.Data.List.Basic
#align_import data.list.infix from "leanprover-community/mathlib"@"26f081a2fb920140ed5bc5cc5344e84bcc7cb2b2"
open Nat
variable {α β : Type*}
namespace List
variable {l l₁ l₂ l₃ : List α} {a b : α} {m n : ℕ}
section Fix
#align list.prefix_append List.prefix_append
#align list.suffix_append List.suffix_append
#align list.infix_append List.infix_append
#align list.infix_append' List.infix_append'
#align list.is_prefix.is_infix List.IsPrefix.isInfix
#align list.is_suffix.is_infix List.IsSuffix.isInfix
#align list.nil_prefix List.nil_prefix
#align list.nil_suffix List.nil_suffix
#align list.nil_infix List.nil_infix
#align list.prefix_refl List.prefix_refl
#align list.suffix_refl List.suffix_refl
#align list.infix_refl List.infix_refl
theorem prefix_rfl : l <+: l :=
prefix_refl _
#align list.prefix_rfl List.prefix_rfl
theorem suffix_rfl : l <:+ l :=
suffix_refl _
#align list.suffix_rfl List.suffix_rfl
theorem infix_rfl : l <:+: l :=
infix_refl _
#align list.infix_rfl List.infix_rfl
#align list.suffix_cons List.suffix_cons
theorem prefix_concat (a : α) (l) : l <+: concat l a := by simp
#align list.prefix_concat List.prefix_concat
theorem prefix_concat_iff {l₁ l₂ : List α} {a : α} :
l₁ <+: l₂ ++ [a] ↔ l₁ = l₂ ++ [a] ∨ l₁ <+: l₂ := by
simpa only [← reverse_concat', reverse_inj, reverse_suffix] using
suffix_cons_iff (l₁ := l₁.reverse) (l₂ := l₂.reverse)
#align list.infix_cons List.infix_cons
#align list.infix_concat List.infix_concat
#align list.is_prefix.trans List.IsPrefix.trans
#align list.is_suffix.trans List.IsSuffix.trans
#align list.is_infix.trans List.IsInfix.trans
#align list.is_infix.sublist List.IsInfix.sublist
#align list.is_infix.subset List.IsInfix.subset
#align list.is_prefix.sublist List.IsPrefix.sublist
#align list.is_prefix.subset List.IsPrefix.subset
#align list.is_suffix.sublist List.IsSuffix.sublist
#align list.is_suffix.subset List.IsSuffix.subset
#align list.reverse_suffix List.reverse_suffix
#align list.reverse_prefix List.reverse_prefix
#align list.reverse_infix List.reverse_infix
protected alias ⟨_, isSuffix.reverse⟩ := reverse_prefix
#align list.is_suffix.reverse List.isSuffix.reverse
protected alias ⟨_, isPrefix.reverse⟩ := reverse_suffix
#align list.is_prefix.reverse List.isPrefix.reverse
protected alias ⟨_, isInfix.reverse⟩ := reverse_infix
#align list.is_infix.reverse List.isInfix.reverse
#align list.is_infix.length_le List.IsInfix.length_le
#align list.is_prefix.length_le List.IsPrefix.length_le
#align list.is_suffix.length_le List.IsSuffix.length_le
#align list.infix_nil_iff List.infix_nil
#align list.prefix_nil_iff List.prefix_nil
#align list.suffix_nil_iff List.suffix_nil
alias ⟨eq_nil_of_infix_nil, _⟩ := infix_nil
#align list.eq_nil_of_infix_nil List.eq_nil_of_infix_nil
alias ⟨eq_nil_of_prefix_nil, _⟩ := prefix_nil
#align list.eq_nil_of_prefix_nil List.eq_nil_of_prefix_nil
alias ⟨eq_nil_of_suffix_nil, _⟩ := suffix_nil
#align list.eq_nil_of_suffix_nil List.eq_nil_of_suffix_nil
#align list.infix_iff_prefix_suffix List.infix_iff_prefix_suffix
theorem eq_of_infix_of_length_eq (h : l₁ <:+: l₂) : l₁.length = l₂.length → l₁ = l₂ :=
h.sublist.eq_of_length
#align list.eq_of_infix_of_length_eq List.eq_of_infix_of_length_eq
theorem eq_of_prefix_of_length_eq (h : l₁ <+: l₂) : l₁.length = l₂.length → l₁ = l₂ :=
h.sublist.eq_of_length
#align list.eq_of_prefix_of_length_eq List.eq_of_prefix_of_length_eq
theorem eq_of_suffix_of_length_eq (h : l₁ <:+ l₂) : l₁.length = l₂.length → l₁ = l₂ :=
h.sublist.eq_of_length
#align list.eq_of_suffix_of_length_eq List.eq_of_suffix_of_length_eq
#align list.prefix_of_prefix_length_le List.prefix_of_prefix_length_le
#align list.prefix_or_prefix_of_prefix List.prefix_or_prefix_of_prefix
#align list.suffix_of_suffix_length_le List.suffix_of_suffix_length_le
#align list.suffix_or_suffix_of_suffix List.suffix_or_suffix_of_suffix
#align list.suffix_cons_iff List.suffix_cons_iff
#align list.infix_cons_iff List.infix_cons_iff
#align list.infix_of_mem_join List.infix_of_mem_join
#align list.prefix_append_right_inj List.prefix_append_right_inj
#align list.prefix_cons_inj List.prefix_cons_inj
#align list.take_prefix List.take_prefix
#align list.drop_suffix List.drop_suffix
#align list.take_sublist List.take_sublist
#align list.drop_sublist List.drop_sublist
#align list.take_subset List.take_subset
#align list.drop_subset List.drop_subset
#align list.mem_of_mem_take List.mem_of_mem_take
#align list.mem_of_mem_drop List.mem_of_mem_drop
lemma dropSlice_sublist (n m : ℕ) (l : List α) : l.dropSlice n m <+ l :=
calc
l.dropSlice n m = take n l ++ drop m (drop n l) := by rw [dropSlice_eq, drop_drop, Nat.add_comm]
_ <+ take n l ++ drop n l := (Sublist.refl _).append (drop_sublist _ _)
_ = _ := take_append_drop _ _
#align list.slice_sublist List.dropSlice_sublist
lemma dropSlice_subset (n m : ℕ) (l : List α) : l.dropSlice n m ⊆ l :=
(dropSlice_sublist n m l).subset
#align list.slice_subset List.dropSlice_subset
lemma mem_of_mem_dropSlice {n m : ℕ} {l : List α} {a : α} (h : a ∈ l.dropSlice n m) : a ∈ l :=
dropSlice_subset n m l h
#align list.mem_of_mem_slice List.mem_of_mem_dropSlice
theorem takeWhile_prefix (p : α → Bool) : l.takeWhile p <+: l :=
⟨l.dropWhile p, takeWhile_append_dropWhile p l⟩
#align list.take_while_prefix List.takeWhile_prefix
theorem dropWhile_suffix (p : α → Bool) : l.dropWhile p <:+ l :=
⟨l.takeWhile p, takeWhile_append_dropWhile p l⟩
#align list.drop_while_suffix List.dropWhile_suffix
theorem dropLast_prefix : ∀ l : List α, l.dropLast <+: l
| [] => ⟨nil, by rw [dropLast, List.append_nil]⟩
| a :: l => ⟨_, dropLast_append_getLast (cons_ne_nil a l)⟩
#align list.init_prefix List.dropLast_prefix
theorem tail_suffix (l : List α) : tail l <:+ l := by rw [← drop_one]; apply drop_suffix
#align list.tail_suffix List.tail_suffix
theorem dropLast_sublist (l : List α) : l.dropLast <+ l :=
(dropLast_prefix l).sublist
#align list.init_sublist List.dropLast_sublist
@[gcongr]
| Mathlib/Data/List/Infix.lean | 186 | 188 | theorem drop_sublist_drop_left (l : List α) {m n : ℕ} (h : m ≤ n) : drop n l <+ drop m l := by |
rw [← Nat.sub_add_cancel h, drop_add]
apply drop_sublist
|
import Mathlib.CategoryTheory.Sites.Sieves
#align_import category_theory.sites.sheaf_of_types from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a"
universe w v₁ v₂ u₁ u₂
namespace CategoryTheory
open Opposite CategoryTheory Category Limits Sieve
namespace Presieve
variable {C : Type u₁} [Category.{v₁} C]
variable {P Q U : Cᵒᵖ ⥤ Type w}
variable {X Y : C} {S : Sieve X} {R : Presieve X}
def FamilyOfElements (P : Cᵒᵖ ⥤ Type w) (R : Presieve X) :=
∀ ⦃Y : C⦄ (f : Y ⟶ X), R f → P.obj (op Y)
#align category_theory.presieve.family_of_elements CategoryTheory.Presieve.FamilyOfElements
instance : Inhabited (FamilyOfElements P (⊥ : Presieve X)) :=
⟨fun _ _ => False.elim⟩
def FamilyOfElements.restrict {R₁ R₂ : Presieve X} (h : R₁ ≤ R₂) :
FamilyOfElements P R₂ → FamilyOfElements P R₁ := fun x _ f hf => x f (h _ hf)
#align category_theory.presieve.family_of_elements.restrict CategoryTheory.Presieve.FamilyOfElements.restrict
def FamilyOfElements.map (p : FamilyOfElements P R) (φ : P ⟶ Q) :
FamilyOfElements Q R :=
fun _ f hf => φ.app _ (p f hf)
@[simp]
lemma FamilyOfElements.map_apply
(p : FamilyOfElements P R) (φ : P ⟶ Q) {Y : C} (f : Y ⟶ X) (hf : R f) :
p.map φ f hf = φ.app _ (p f hf) := rfl
lemma FamilyOfElements.restrict_map
(p : FamilyOfElements P R) (φ : P ⟶ Q) {R' : Presieve X} (h : R' ≤ R) :
(p.restrict h).map φ = (p.map φ).restrict h := rfl
def FamilyOfElements.Compatible (x : FamilyOfElements P R) : Prop :=
∀ ⦃Y₁ Y₂ Z⦄ (g₁ : Z ⟶ Y₁) (g₂ : Z ⟶ Y₂) ⦃f₁ : Y₁ ⟶ X⦄ ⦃f₂ : Y₂ ⟶ X⦄ (h₁ : R f₁) (h₂ : R f₂),
g₁ ≫ f₁ = g₂ ≫ f₂ → P.map g₁.op (x f₁ h₁) = P.map g₂.op (x f₂ h₂)
#align category_theory.presieve.family_of_elements.compatible CategoryTheory.Presieve.FamilyOfElements.Compatible
def FamilyOfElements.PullbackCompatible (x : FamilyOfElements P R) [R.hasPullbacks] : Prop :=
∀ ⦃Y₁ Y₂⦄ ⦃f₁ : Y₁ ⟶ X⦄ ⦃f₂ : Y₂ ⟶ X⦄ (h₁ : R f₁) (h₂ : R f₂),
haveI := hasPullbacks.has_pullbacks h₁ h₂
P.map (pullback.fst : Limits.pullback f₁ f₂ ⟶ _).op (x f₁ h₁) = P.map pullback.snd.op (x f₂ h₂)
#align category_theory.presieve.family_of_elements.pullback_compatible CategoryTheory.Presieve.FamilyOfElements.PullbackCompatible
theorem pullbackCompatible_iff (x : FamilyOfElements P R) [R.hasPullbacks] :
x.Compatible ↔ x.PullbackCompatible := by
constructor
· intro t Y₁ Y₂ f₁ f₂ hf₁ hf₂
apply t
haveI := hasPullbacks.has_pullbacks hf₁ hf₂
apply pullback.condition
· intro t Y₁ Y₂ Z g₁ g₂ f₁ f₂ hf₁ hf₂ comm
haveI := hasPullbacks.has_pullbacks hf₁ hf₂
rw [← pullback.lift_fst _ _ comm, op_comp, FunctorToTypes.map_comp_apply, t hf₁ hf₂,
← FunctorToTypes.map_comp_apply, ← op_comp, pullback.lift_snd]
#align category_theory.presieve.pullback_compatible_iff CategoryTheory.Presieve.pullbackCompatible_iff
theorem FamilyOfElements.Compatible.restrict {R₁ R₂ : Presieve X} (h : R₁ ≤ R₂)
{x : FamilyOfElements P R₂} : x.Compatible → (x.restrict h).Compatible :=
fun q _ _ _ g₁ g₂ _ _ h₁ h₂ comm => q g₁ g₂ (h _ h₁) (h _ h₂) comm
#align category_theory.presieve.family_of_elements.compatible.restrict CategoryTheory.Presieve.FamilyOfElements.Compatible.restrict
noncomputable def FamilyOfElements.sieveExtend (x : FamilyOfElements P R) :
FamilyOfElements P (generate R : Presieve X) := fun _ _ hf =>
P.map hf.choose_spec.choose.op (x _ hf.choose_spec.choose_spec.choose_spec.1)
#align category_theory.presieve.family_of_elements.sieve_extend CategoryTheory.Presieve.FamilyOfElements.sieveExtend
theorem FamilyOfElements.Compatible.sieveExtend {x : FamilyOfElements P R} (hx : x.Compatible) :
x.sieveExtend.Compatible := by
intro _ _ _ _ _ _ _ h₁ h₂ comm
iterate 2 erw [← FunctorToTypes.map_comp_apply]; rw [← op_comp]
apply hx
simp [comm, h₁.choose_spec.choose_spec.choose_spec.2, h₂.choose_spec.choose_spec.choose_spec.2]
#align category_theory.presieve.family_of_elements.compatible.sieve_extend CategoryTheory.Presieve.FamilyOfElements.Compatible.sieveExtend
theorem extend_agrees {x : FamilyOfElements P R} (t : x.Compatible) {f : Y ⟶ X} (hf : R f) :
x.sieveExtend f (le_generate R Y hf) = x f hf := by
have h := (le_generate R Y hf).choose_spec
unfold FamilyOfElements.sieveExtend
rw [t h.choose (𝟙 _) _ hf _]
· simp
· rw [id_comp]
exact h.choose_spec.choose_spec.2
#align category_theory.presieve.extend_agrees CategoryTheory.Presieve.extend_agrees
@[simp]
theorem restrict_extend {x : FamilyOfElements P R} (t : x.Compatible) :
x.sieveExtend.restrict (le_generate R) = x := by
funext Y f hf
exact extend_agrees t hf
#align category_theory.presieve.restrict_extend CategoryTheory.Presieve.restrict_extend
def FamilyOfElements.SieveCompatible (x : FamilyOfElements P (S : Presieve X)) : Prop :=
∀ ⦃Y Z⦄ (f : Y ⟶ X) (g : Z ⟶ Y) (hf), x (g ≫ f) (S.downward_closed hf g) = P.map g.op (x f hf)
#align category_theory.presieve.family_of_elements.sieve_compatible CategoryTheory.Presieve.FamilyOfElements.SieveCompatible
theorem compatible_iff_sieveCompatible (x : FamilyOfElements P (S : Presieve X)) :
x.Compatible ↔ x.SieveCompatible := by
constructor
· intro h Y Z f g hf
simpa using h (𝟙 _) g (S.downward_closed hf g) hf (id_comp _)
· intro h Y₁ Y₂ Z g₁ g₂ f₁ f₂ h₁ h₂ k
simp_rw [← h f₁ g₁ h₁, ← h f₂ g₂ h₂]
congr
#align category_theory.presieve.compatible_iff_sieve_compatible CategoryTheory.Presieve.compatible_iff_sieveCompatible
theorem FamilyOfElements.Compatible.to_sieveCompatible {x : FamilyOfElements P (S : Presieve X)}
(t : x.Compatible) : x.SieveCompatible :=
(compatible_iff_sieveCompatible x).1 t
#align category_theory.presieve.family_of_elements.compatible.to_sieve_compatible CategoryTheory.Presieve.FamilyOfElements.Compatible.to_sieveCompatible
@[simp]
theorem extend_restrict {x : FamilyOfElements P (generate R)} (t : x.Compatible) :
(x.restrict (le_generate R)).sieveExtend = x := by
rw [compatible_iff_sieveCompatible] at t
funext _ _ h
apply (t _ _ _).symm.trans
congr
exact h.choose_spec.choose_spec.choose_spec.2
#align category_theory.presieve.extend_restrict CategoryTheory.Presieve.extend_restrict
theorem restrict_inj {x₁ x₂ : FamilyOfElements P (generate R)} (t₁ : x₁.Compatible)
(t₂ : x₂.Compatible) : x₁.restrict (le_generate R) = x₂.restrict (le_generate R) → x₁ = x₂ :=
fun h => by
rw [← extend_restrict t₁, ← extend_restrict t₂]
-- Porting note: congr fails to make progress
apply congr_arg
exact h
#align category_theory.presieve.restrict_inj CategoryTheory.Presieve.restrict_inj
@[simps]
noncomputable def compatibleEquivGenerateSieveCompatible :
{ x : FamilyOfElements P R // x.Compatible } ≃
{ x : FamilyOfElements P (generate R : Presieve X) // x.Compatible } where
toFun x := ⟨x.1.sieveExtend, x.2.sieveExtend⟩
invFun x := ⟨x.1.restrict (le_generate R), x.2.restrict _⟩
left_inv x := Subtype.ext (restrict_extend x.2)
right_inv x := Subtype.ext (extend_restrict x.2)
#align category_theory.presieve.compatible_equiv_generate_sieve_compatible CategoryTheory.Presieve.compatibleEquivGenerateSieveCompatible
theorem FamilyOfElements.comp_of_compatible (S : Sieve X) {x : FamilyOfElements P S}
(t : x.Compatible) {f : Y ⟶ X} (hf : S f) {Z} (g : Z ⟶ Y) :
x (g ≫ f) (S.downward_closed hf g) = P.map g.op (x f hf) := by
simpa using t (𝟙 _) g (S.downward_closed hf g) hf (id_comp _)
#align category_theory.presieve.family_of_elements.comp_of_compatible CategoryTheory.Presieve.FamilyOfElements.comp_of_compatible
noncomputable def FamilyOfElements.functorPushforward {D : Type u₂} [Category.{v₂} D] (F : D ⥤ C)
{X : D} {T : Presieve X} (x : FamilyOfElements (F.op ⋙ P) T) :
FamilyOfElements P (T.functorPushforward F) := fun Y f h => by
obtain ⟨Z, g, h, h₁, _⟩ := getFunctorPushforwardStructure h
exact P.map h.op (x g h₁)
#align category_theory.presieve.family_of_elements.functor_pushforward CategoryTheory.Presieve.FamilyOfElements.functorPushforward
def FamilyOfElements.compPresheafMap (f : P ⟶ Q) (x : FamilyOfElements P R) :
FamilyOfElements Q R := fun Y g hg => f.app (op Y) (x g hg)
#align category_theory.presieve.family_of_elements.comp_presheaf_map CategoryTheory.Presieve.FamilyOfElements.compPresheafMap
@[simp]
theorem FamilyOfElements.compPresheafMap_id (x : FamilyOfElements P R) :
x.compPresheafMap (𝟙 P) = x :=
rfl
#align category_theory.presieve.family_of_elements.comp_presheaf_map_id CategoryTheory.Presieve.FamilyOfElements.compPresheafMap_id
@[simp]
theorem FamilyOfElements.compPresheafMap_comp (x : FamilyOfElements P R) (f : P ⟶ Q)
(g : Q ⟶ U) : (x.compPresheafMap f).compPresheafMap g = x.compPresheafMap (f ≫ g) :=
rfl
#align category_theory.presieve.family_of_elements.comp_prersheaf_map_comp CategoryTheory.Presieve.FamilyOfElements.compPresheafMap_comp
theorem FamilyOfElements.Compatible.compPresheafMap (f : P ⟶ Q) {x : FamilyOfElements P R}
(h : x.Compatible) : (x.compPresheafMap f).Compatible := by
intro Z₁ Z₂ W g₁ g₂ f₁ f₂ h₁ h₂ eq
unfold FamilyOfElements.compPresheafMap
rwa [← FunctorToTypes.naturality, ← FunctorToTypes.naturality, h]
#align category_theory.presieve.family_of_elements.compatible.comp_presheaf_map CategoryTheory.Presieve.FamilyOfElements.Compatible.compPresheafMap
def FamilyOfElements.IsAmalgamation (x : FamilyOfElements P R) (t : P.obj (op X)) : Prop :=
∀ ⦃Y : C⦄ (f : Y ⟶ X) (h : R f), P.map f.op t = x f h
#align category_theory.presieve.family_of_elements.is_amalgamation CategoryTheory.Presieve.FamilyOfElements.IsAmalgamation
theorem FamilyOfElements.IsAmalgamation.compPresheafMap {x : FamilyOfElements P R} {t} (f : P ⟶ Q)
(h : x.IsAmalgamation t) : (x.compPresheafMap f).IsAmalgamation (f.app (op X) t) := by
intro Y g hg
dsimp [FamilyOfElements.compPresheafMap]
change (f.app _ ≫ Q.map _) _ = _
rw [← f.naturality, types_comp_apply, h g hg]
#align category_theory.presieve.family_of_elements.is_amalgamation.comp_presheaf_map CategoryTheory.Presieve.FamilyOfElements.IsAmalgamation.compPresheafMap
theorem is_compatible_of_exists_amalgamation (x : FamilyOfElements P R)
(h : ∃ t, x.IsAmalgamation t) : x.Compatible := by
cases' h with t ht
intro Y₁ Y₂ Z g₁ g₂ f₁ f₂ h₁ h₂ comm
rw [← ht _ h₁, ← ht _ h₂, ← FunctorToTypes.map_comp_apply, ← op_comp, comm]
simp
#align category_theory.presieve.is_compatible_of_exists_amalgamation CategoryTheory.Presieve.is_compatible_of_exists_amalgamation
theorem isAmalgamation_restrict {R₁ R₂ : Presieve X} (h : R₁ ≤ R₂) (x : FamilyOfElements P R₂)
(t : P.obj (op X)) (ht : x.IsAmalgamation t) : (x.restrict h).IsAmalgamation t := fun Y f hf =>
ht f (h Y hf)
#align category_theory.presieve.is_amalgamation_restrict CategoryTheory.Presieve.isAmalgamation_restrict
theorem isAmalgamation_sieveExtend {R : Presieve X} (x : FamilyOfElements P R) (t : P.obj (op X))
(ht : x.IsAmalgamation t) : x.sieveExtend.IsAmalgamation t := by
intro Y f hf
dsimp [FamilyOfElements.sieveExtend]
rw [← ht _, ← FunctorToTypes.map_comp_apply, ← op_comp, hf.choose_spec.choose_spec.choose_spec.2]
#align category_theory.presieve.is_amalgamation_sieve_extend CategoryTheory.Presieve.isAmalgamation_sieveExtend
def IsSeparatedFor (P : Cᵒᵖ ⥤ Type w) (R : Presieve X) : Prop :=
∀ (x : FamilyOfElements P R) (t₁ t₂), x.IsAmalgamation t₁ → x.IsAmalgamation t₂ → t₁ = t₂
#align category_theory.presieve.is_separated_for CategoryTheory.Presieve.IsSeparatedFor
theorem IsSeparatedFor.ext {R : Presieve X} (hR : IsSeparatedFor P R) {t₁ t₂ : P.obj (op X)}
(h : ∀ ⦃Y⦄ ⦃f : Y ⟶ X⦄ (_ : R f), P.map f.op t₁ = P.map f.op t₂) : t₁ = t₂ :=
hR (fun _ f _ => P.map f.op t₂) t₁ t₂ (fun _ _ hf => h hf) fun _ _ _ => rfl
#align category_theory.presieve.is_separated_for.ext CategoryTheory.Presieve.IsSeparatedFor.ext
theorem isSeparatedFor_iff_generate :
IsSeparatedFor P R ↔ IsSeparatedFor P (generate R : Presieve X) := by
constructor
· intro h x t₁ t₂ ht₁ ht₂
apply h (x.restrict (le_generate R)) t₁ t₂ _ _
· exact isAmalgamation_restrict _ x t₁ ht₁
· exact isAmalgamation_restrict _ x t₂ ht₂
· intro h x t₁ t₂ ht₁ ht₂
apply h x.sieveExtend
· exact isAmalgamation_sieveExtend x t₁ ht₁
· exact isAmalgamation_sieveExtend x t₂ ht₂
#align category_theory.presieve.is_separated_for_iff_generate CategoryTheory.Presieve.isSeparatedFor_iff_generate
theorem isSeparatedFor_top (P : Cᵒᵖ ⥤ Type w) : IsSeparatedFor P (⊤ : Presieve X) :=
fun x t₁ t₂ h₁ h₂ => by
have q₁ := h₁ (𝟙 X) (by tauto)
have q₂ := h₂ (𝟙 X) (by tauto)
simp only [op_id, FunctorToTypes.map_id_apply] at q₁ q₂
rw [q₁, q₂]
#align category_theory.presieve.is_separated_for_top CategoryTheory.Presieve.isSeparatedFor_top
def IsSheafFor (P : Cᵒᵖ ⥤ Type w) (R : Presieve X) : Prop :=
∀ x : FamilyOfElements P R, x.Compatible → ∃! t, x.IsAmalgamation t
#align category_theory.presieve.is_sheaf_for CategoryTheory.Presieve.IsSheafFor
def YonedaSheafCondition (P : Cᵒᵖ ⥤ Type v₁) (S : Sieve X) : Prop :=
∀ f : S.functor ⟶ P, ∃! g, S.functorInclusion ≫ g = f
#align category_theory.presieve.yoneda_sheaf_condition CategoryTheory.Presieve.YonedaSheafCondition
-- TODO: We can generalize the universe parameter v₁ above by composing with
-- appropriate `ulift_functor`s.
def natTransEquivCompatibleFamily {P : Cᵒᵖ ⥤ Type v₁} :
(S.functor ⟶ P) ≃ { x : FamilyOfElements P (S : Presieve X) // x.Compatible } where
toFun α := by
refine ⟨fun Y f hf => ?_, ?_⟩
· apply α.app (op Y) ⟨_, hf⟩
· rw [compatible_iff_sieveCompatible]
intro Y Z f g hf
dsimp
rw [← FunctorToTypes.naturality _ _ α g.op]
rfl
invFun t :=
{ app := fun Y f => t.1 _ f.2
naturality := fun Y Z g => by
ext ⟨f, hf⟩
apply t.2.to_sieveCompatible _ }
left_inv α := by
ext X ⟨_, _⟩
rfl
right_inv := by
rintro ⟨x, hx⟩
rfl
#align category_theory.presieve.nat_trans_equiv_compatible_family CategoryTheory.Presieve.natTransEquivCompatibleFamily
theorem extension_iff_amalgamation {P : Cᵒᵖ ⥤ Type v₁} (x : S.functor ⟶ P) (g : yoneda.obj X ⟶ P) :
S.functorInclusion ≫ g = x ↔
(natTransEquivCompatibleFamily x).1.IsAmalgamation (yonedaEquiv g) := by
change _ ↔ ∀ ⦃Y : C⦄ (f : Y ⟶ X) (h : S f), P.map f.op (yonedaEquiv g) = x.app (op Y) ⟨f, h⟩
constructor
· rintro rfl Y f hf
rw [yonedaEquiv_naturality]
dsimp
simp [yonedaEquiv_apply]
-- See note [dsimp, simp].
· intro h
ext Y ⟨f, hf⟩
convert h f hf
rw [yonedaEquiv_naturality]
dsimp [yonedaEquiv]
simp
#align category_theory.presieve.extension_iff_amalgamation CategoryTheory.Presieve.extension_iff_amalgamation
theorem isSheafFor_iff_yonedaSheafCondition {P : Cᵒᵖ ⥤ Type v₁} :
IsSheafFor P (S : Presieve X) ↔ YonedaSheafCondition P S := by
rw [IsSheafFor, YonedaSheafCondition]
simp_rw [extension_iff_amalgamation]
rw [Equiv.forall_congr_left' natTransEquivCompatibleFamily]
rw [Subtype.forall]
apply forall₂_congr
intro x hx
rw [Equiv.exists_unique_congr_left _]
simp
#align category_theory.presieve.is_sheaf_for_iff_yoneda_sheaf_condition CategoryTheory.Presieve.isSheafFor_iff_yonedaSheafCondition
noncomputable def IsSheafFor.extend {P : Cᵒᵖ ⥤ Type v₁} (h : IsSheafFor P (S : Presieve X))
(f : S.functor ⟶ P) : yoneda.obj X ⟶ P :=
(isSheafFor_iff_yonedaSheafCondition.1 h f).exists.choose
#align category_theory.presieve.is_sheaf_for.extend CategoryTheory.Presieve.IsSheafFor.extend
@[reassoc (attr := simp)]
theorem IsSheafFor.functorInclusion_comp_extend {P : Cᵒᵖ ⥤ Type v₁} (h : IsSheafFor P S)
(f : S.functor ⟶ P) : S.functorInclusion ≫ h.extend f = f :=
(isSheafFor_iff_yonedaSheafCondition.1 h f).exists.choose_spec
#align category_theory.presieve.is_sheaf_for.functor_inclusion_comp_extend CategoryTheory.Presieve.IsSheafFor.functorInclusion_comp_extend
theorem IsSheafFor.unique_extend {P : Cᵒᵖ ⥤ Type v₁} (h : IsSheafFor P S) {f : S.functor ⟶ P}
(t : yoneda.obj X ⟶ P) (ht : S.functorInclusion ≫ t = f) : t = h.extend f :=
(isSheafFor_iff_yonedaSheafCondition.1 h f).unique ht (h.functorInclusion_comp_extend f)
#align category_theory.presieve.is_sheaf_for.unique_extend CategoryTheory.Presieve.IsSheafFor.unique_extend
theorem IsSheafFor.hom_ext {P : Cᵒᵖ ⥤ Type v₁} (h : IsSheafFor P (S : Presieve X))
(t₁ t₂ : yoneda.obj X ⟶ P) (ht : S.functorInclusion ≫ t₁ = S.functorInclusion ≫ t₂) :
t₁ = t₂ :=
(h.unique_extend t₁ ht).trans (h.unique_extend t₂ rfl).symm
#align category_theory.presieve.is_sheaf_for.hom_ext CategoryTheory.Presieve.IsSheafFor.hom_ext
theorem isSeparatedFor_and_exists_isAmalgamation_iff_isSheafFor :
(IsSeparatedFor P R ∧ ∀ x : FamilyOfElements P R, x.Compatible → ∃ t, x.IsAmalgamation t) ↔
IsSheafFor P R := by
rw [IsSeparatedFor, ← forall_and]
apply forall_congr'
intro x
constructor
· intro z hx
exact exists_unique_of_exists_of_unique (z.2 hx) z.1
· intro h
refine ⟨?_, ExistsUnique.exists ∘ h⟩
intro t₁ t₂ ht₁ ht₂
apply (h _).unique ht₁ ht₂
exact is_compatible_of_exists_amalgamation x ⟨_, ht₂⟩
#align category_theory.presieve.is_separated_for_and_exists_is_amalgamation_iff_sheaf_for CategoryTheory.Presieve.isSeparatedFor_and_exists_isAmalgamation_iff_isSheafFor
theorem IsSeparatedFor.isSheafFor (t : IsSeparatedFor P R) :
(∀ x : FamilyOfElements P R, x.Compatible → ∃ t, x.IsAmalgamation t) → IsSheafFor P R := by
rw [← isSeparatedFor_and_exists_isAmalgamation_iff_isSheafFor]
exact And.intro t
#align category_theory.presieve.is_separated_for.is_sheaf_for CategoryTheory.Presieve.IsSeparatedFor.isSheafFor
theorem IsSheafFor.isSeparatedFor : IsSheafFor P R → IsSeparatedFor P R := fun q =>
(isSeparatedFor_and_exists_isAmalgamation_iff_isSheafFor.2 q).1
#align category_theory.presieve.is_sheaf_for.is_separated_for CategoryTheory.Presieve.IsSheafFor.isSeparatedFor
noncomputable def IsSheafFor.amalgamate (t : IsSheafFor P R) (x : FamilyOfElements P R)
(hx : x.Compatible) : P.obj (op X) :=
(t x hx).exists.choose
#align category_theory.presieve.is_sheaf_for.amalgamate CategoryTheory.Presieve.IsSheafFor.amalgamate
theorem IsSheafFor.isAmalgamation (t : IsSheafFor P R) {x : FamilyOfElements P R}
(hx : x.Compatible) : x.IsAmalgamation (t.amalgamate x hx) :=
(t x hx).exists.choose_spec
#align category_theory.presieve.is_sheaf_for.is_amalgamation CategoryTheory.Presieve.IsSheafFor.isAmalgamation
@[simp]
theorem IsSheafFor.valid_glue (t : IsSheafFor P R) {x : FamilyOfElements P R} (hx : x.Compatible)
(f : Y ⟶ X) (Hf : R f) : P.map f.op (t.amalgamate x hx) = x f Hf :=
t.isAmalgamation hx f Hf
#align category_theory.presieve.is_sheaf_for.valid_glue CategoryTheory.Presieve.IsSheafFor.valid_glue
theorem isSheafFor_iff_generate (R : Presieve X) :
IsSheafFor P R ↔ IsSheafFor P (generate R : Presieve X) := by
rw [← isSeparatedFor_and_exists_isAmalgamation_iff_isSheafFor]
rw [← isSeparatedFor_and_exists_isAmalgamation_iff_isSheafFor]
rw [← isSeparatedFor_iff_generate]
apply and_congr (Iff.refl _)
constructor
· intro q x hx
apply Exists.imp _ (q _ (hx.restrict (le_generate R)))
intro t ht
simpa [hx] using isAmalgamation_sieveExtend _ _ ht
· intro q x hx
apply Exists.imp _ (q _ hx.sieveExtend)
intro t ht
simpa [hx] using isAmalgamation_restrict (le_generate R) _ _ ht
#align category_theory.presieve.is_sheaf_for_iff_generate CategoryTheory.Presieve.isSheafFor_iff_generate
theorem isSheafFor_singleton_iso (P : Cᵒᵖ ⥤ Type w) : IsSheafFor P (Presieve.singleton (𝟙 X)) := by
intro x _
refine ⟨x _ (Presieve.singleton_self _), ?_, ?_⟩
· rintro _ _ ⟨rfl, rfl⟩
simp
· intro t ht
simpa using ht _ (Presieve.singleton_self _)
#align category_theory.presieve.is_sheaf_for_singleton_iso CategoryTheory.Presieve.isSheafFor_singletonₓ_iso
theorem isSheafFor_top_sieve (P : Cᵒᵖ ⥤ Type w) : IsSheafFor P ((⊤ : Sieve X) : Presieve X) := by
rw [← generate_of_singleton_isSplitEpi (𝟙 X)]
rw [← isSheafFor_iff_generate]
apply isSheafFor_singleton_iso
#align category_theory.presieve.is_sheaf_for_top_sieve CategoryTheory.Presieve.isSheafFor_top_sieve
theorem isSheafFor_iso {P' : Cᵒᵖ ⥤ Type w} (i : P ≅ P') : IsSheafFor P R → IsSheafFor P' R := by
intro h x hx
let x' := x.compPresheafMap i.inv
have : x'.Compatible := FamilyOfElements.Compatible.compPresheafMap i.inv hx
obtain ⟨t, ht1, ht2⟩ := h x' this
use i.hom.app _ t
fconstructor
· convert FamilyOfElements.IsAmalgamation.compPresheafMap i.hom ht1
simp [x']
· intro y hy
rw [show y = (i.inv.app (op X) ≫ i.hom.app (op X)) y by simp]
simp [ht2 (i.inv.app _ y) (FamilyOfElements.IsAmalgamation.compPresheafMap i.inv hy)]
#align category_theory.presieve.is_sheaf_for_iso CategoryTheory.Presieve.isSheafFor_iso
theorem isSheafFor_subsieve_aux (P : Cᵒᵖ ⥤ Type w) {S : Sieve X} {R : Presieve X}
(h : (S : Presieve X) ≤ R) (hS : IsSheafFor P (S : Presieve X))
(trans : ∀ ⦃Y⦄ ⦃f : Y ⟶ X⦄, R f → IsSeparatedFor P (S.pullback f : Presieve Y)) :
IsSheafFor P R := by
rw [← isSeparatedFor_and_exists_isAmalgamation_iff_isSheafFor]
constructor
· intro x t₁ t₂ ht₁ ht₂
exact
hS.isSeparatedFor _ _ _ (isAmalgamation_restrict h x t₁ ht₁)
(isAmalgamation_restrict h x t₂ ht₂)
· intro x hx
use hS.amalgamate _ (hx.restrict h)
intro W j hj
apply (trans hj).ext
intro Y f hf
rw [← FunctorToTypes.map_comp_apply, ← op_comp, hS.valid_glue (hx.restrict h) _ hf,
FamilyOfElements.restrict, ← hx (𝟙 _) f (h _ hf) _ (id_comp _)]
simp
#align category_theory.presieve.is_sheaf_for_subsieve_aux CategoryTheory.Presieve.isSheafFor_subsieve_aux
theorem isSheafFor_subsieve (P : Cᵒᵖ ⥤ Type w) {S : Sieve X} {R : Presieve X}
(h : (S : Presieve X) ≤ R) (trans : ∀ ⦃Y⦄ (f : Y ⟶ X),
IsSheafFor P (S.pullback f : Presieve Y)) :
IsSheafFor P R :=
isSheafFor_subsieve_aux P h (by simpa using trans (𝟙 _)) fun Y f _ => (trans f).isSeparatedFor
#align category_theory.presieve.is_sheaf_for_subsieve CategoryTheory.Presieve.isSheafFor_subsieve
section Arrows
variable {B : C} {I : Type*} {X : I → C} (π : (i : I) → X i ⟶ B) (P)
def Arrows.Compatible (x : (i : I) → P.obj (op (X i))) : Prop :=
∀ i j Z (gi : Z ⟶ X i) (gj : Z ⟶ X j), gi ≫ π i = gj ≫ π j →
P.map gi.op (x i) = P.map gj.op (x j)
lemma FamilyOfElements.isAmalgamation_iff_ofArrows (x : FamilyOfElements P (ofArrows X π))
(t : P.obj (op B)) :
x.IsAmalgamation t ↔ ∀ (i : I), P.map (π i).op t = x _ (ofArrows.mk i) :=
⟨fun h i ↦ h _ (ofArrows.mk i), fun h _ f ⟨i⟩ ↦ h i⟩
namespace Arrows.Compatible
variable {x : (i : I) → P.obj (op (X i))} (hx : Compatible P π x)
variable {P π}
| Mathlib/CategoryTheory/Sites/IsSheafFor.lean | 742 | 746 | theorem exists_familyOfElements :
∃ (x' : FamilyOfElements P (ofArrows X π)), ∀ (i : I), x' _ (ofArrows.mk i) = x i := by |
choose i h h' using @ofArrows_surj _ _ _ _ _ π
exact ⟨fun Y f hf ↦ P.map (eqToHom (h f hf).symm).op (x _),
fun j ↦ (hx _ j (X j) _ (𝟙 _) <| by rw [← h', id_comp]).trans <| by simp⟩
|
import Mathlib.CategoryTheory.Category.Basic
import Mathlib.CategoryTheory.Functor.Basic
import Mathlib.CategoryTheory.Groupoid
import Mathlib.Tactic.NthRewrite
import Mathlib.CategoryTheory.PathCategory
import Mathlib.CategoryTheory.Quotient
import Mathlib.Combinatorics.Quiver.Symmetric
#align_import category_theory.groupoid.free_groupoid from "leanprover-community/mathlib"@"706d88f2b8fdfeb0b22796433d7a6c1a010af9f2"
open Set Classical Function
attribute [local instance] propDecidable
namespace CategoryTheory
namespace Groupoid
namespace Free
universe u v u' v' u'' v''
variable {V : Type u} [Quiver.{v + 1} V]
abbrev _root_.Quiver.Hom.toPosPath {X Y : V} (f : X ⟶ Y) :
(CategoryTheory.Paths.categoryPaths <| Quiver.Symmetrify V).Hom X Y :=
f.toPos.toPath
#align category_theory.groupoid.free.quiver.hom.to_pos_path Quiver.Hom.toPosPath
abbrev _root_.Quiver.Hom.toNegPath {X Y : V} (f : X ⟶ Y) :
(CategoryTheory.Paths.categoryPaths <| Quiver.Symmetrify V).Hom Y X :=
f.toNeg.toPath
#align category_theory.groupoid.free.quiver.hom.to_neg_path Quiver.Hom.toNegPath
inductive redStep : HomRel (Paths (Quiver.Symmetrify V))
| step (X Z : Quiver.Symmetrify V) (f : X ⟶ Z) :
redStep (𝟙 (Paths.of.obj X)) (f.toPath ≫ (Quiver.reverse f).toPath)
#align category_theory.groupoid.free.red_step CategoryTheory.Groupoid.Free.redStep
def _root_.CategoryTheory.FreeGroupoid (V) [Q : Quiver V] :=
Quotient (@redStep V Q)
#align category_theory.free_groupoid CategoryTheory.FreeGroupoid
instance {V} [Quiver V] [Nonempty V] : Nonempty (FreeGroupoid V) := by
inhabit V; exact ⟨⟨@default V _⟩⟩
theorem congr_reverse {X Y : Paths <| Quiver.Symmetrify V} (p q : X ⟶ Y) :
Quotient.CompClosure redStep p q → Quotient.CompClosure redStep p.reverse q.reverse := by
rintro ⟨XW, pp, qq, WY, _, Z, f⟩
have : Quotient.CompClosure redStep (WY.reverse ≫ 𝟙 _ ≫ XW.reverse)
(WY.reverse ≫ (f.toPath ≫ (Quiver.reverse f).toPath) ≫ XW.reverse) := by
constructor
constructor
simpa only [CategoryStruct.comp, CategoryStruct.id, Quiver.Path.reverse, Quiver.Path.nil_comp,
Quiver.Path.reverse_comp, Quiver.reverse_reverse, Quiver.Path.reverse_toPath,
Quiver.Path.comp_assoc] using this
#align category_theory.groupoid.free.congr_reverse CategoryTheory.Groupoid.Free.congr_reverse
theorem congr_comp_reverse {X Y : Paths <| Quiver.Symmetrify V} (p : X ⟶ Y) :
Quot.mk (@Quotient.CompClosure _ _ redStep _ _) (p ≫ p.reverse) =
Quot.mk (@Quotient.CompClosure _ _ redStep _ _) (𝟙 X) := by
apply Quot.EqvGen_sound
induction' p with a b q f ih
· apply EqvGen.refl
· simp only [Quiver.Path.reverse]
fapply EqvGen.trans
-- Porting note: `Quiver.Path.*` and `Quiver.Hom.*` notation not working
· exact q ≫ Quiver.Path.reverse q
· apply EqvGen.symm
apply EqvGen.rel
have : Quotient.CompClosure redStep (q ≫ 𝟙 _ ≫ Quiver.Path.reverse q)
(q ≫ (Quiver.Hom.toPath f ≫ Quiver.Hom.toPath (Quiver.reverse f)) ≫
Quiver.Path.reverse q) := by
apply Quotient.CompClosure.intro
apply redStep.step
simp only [Category.assoc, Category.id_comp] at this ⊢
-- Porting note: `simp` cannot see how `Quiver.Path.comp_assoc` is relevant, so change to
-- category notation
change Quotient.CompClosure redStep (q ≫ Quiver.Path.reverse q)
(Quiver.Path.cons q f ≫ (Quiver.Hom.toPath (Quiver.reverse f)) ≫ (Quiver.Path.reverse q))
simp only [← Category.assoc] at this ⊢
exact this
· exact ih
#align category_theory.groupoid.free.congr_comp_reverse CategoryTheory.Groupoid.Free.congr_comp_reverse
theorem congr_reverse_comp {X Y : Paths <| Quiver.Symmetrify V} (p : X ⟶ Y) :
Quot.mk (@Quotient.CompClosure _ _ redStep _ _) (p.reverse ≫ p) =
Quot.mk (@Quotient.CompClosure _ _ redStep _ _) (𝟙 Y) := by
nth_rw 2 [← Quiver.Path.reverse_reverse p]
apply congr_comp_reverse
#align category_theory.groupoid.free.congr_reverse_comp CategoryTheory.Groupoid.Free.congr_reverse_comp
instance : Category (FreeGroupoid V) :=
Quotient.category redStep
def quotInv {X Y : FreeGroupoid V} (f : X ⟶ Y) : Y ⟶ X :=
Quot.liftOn f (fun pp => Quot.mk _ <| pp.reverse) fun pp qq con =>
Quot.sound <| congr_reverse pp qq con
#align category_theory.groupoid.free.quot_inv CategoryTheory.Groupoid.Free.quotInv
instance _root_.CategoryTheory.FreeGroupoid.instGroupoid : Groupoid (FreeGroupoid V) where
inv := quotInv
inv_comp p := Quot.inductionOn p fun pp => congr_reverse_comp pp
comp_inv p := Quot.inductionOn p fun pp => congr_comp_reverse pp
#align category_theory.groupoid.free.category_theory.free_groupoid.category_theory.groupoid CategoryTheory.FreeGroupoid.instGroupoid
def of (V) [Quiver V] : V ⥤q FreeGroupoid V where
obj X := ⟨X⟩
map f := Quot.mk _ f.toPosPath
#align category_theory.groupoid.free.of CategoryTheory.Groupoid.Free.of
theorem of_eq :
of V = (Quiver.Symmetrify.of ⋙q Paths.of).comp
(Quotient.functor <| @redStep V _).toPrefunctor := rfl
#align category_theory.groupoid.free.of_eq CategoryTheory.Groupoid.Free.of_eq
section UniversalProperty
variable {V' : Type u'} [Groupoid V'] (φ : V ⥤q V')
def lift (φ : V ⥤q V') : FreeGroupoid V ⥤ V' :=
Quotient.lift _ (Paths.lift <| Quiver.Symmetrify.lift φ) <| by
rintro _ _ _ _ ⟨X, Y, f⟩
-- Porting note: `simp` does not work, so manually `rewrite`
erw [Paths.lift_nil, Paths.lift_cons, Quiver.Path.comp_nil, Paths.lift_toPath,
Quiver.Symmetrify.lift_reverse]
symm
apply Groupoid.comp_inv
#align category_theory.groupoid.free.lift CategoryTheory.Groupoid.Free.lift
| Mathlib/CategoryTheory/Groupoid/FreeGroupoid.lean | 168 | 171 | theorem lift_spec (φ : V ⥤q V') : of V ⋙q (lift φ).toPrefunctor = φ := by |
rw [of_eq, Prefunctor.comp_assoc, Prefunctor.comp_assoc, Functor.toPrefunctor_comp]
dsimp [lift]
rw [Quotient.lift_spec, Paths.lift_spec, Quiver.Symmetrify.lift_spec]
|
import Mathlib.Data.ZMod.Basic
import Mathlib.Algebra.Group.Nat
import Mathlib.Tactic.IntervalCases
import Mathlib.GroupTheory.SpecificGroups.Dihedral
import Mathlib.GroupTheory.SpecificGroups.Cyclic
#align_import group_theory.specific_groups.quaternion from "leanprover-community/mathlib"@"879155bff5af618b9062cbb2915347dafd749ad6"
inductive QuaternionGroup (n : ℕ) : Type
| a : ZMod (2 * n) → QuaternionGroup n
| xa : ZMod (2 * n) → QuaternionGroup n
deriving DecidableEq
#align quaternion_group QuaternionGroup
namespace QuaternionGroup
variable {n : ℕ}
private def mul : QuaternionGroup n → QuaternionGroup n → QuaternionGroup n
| a i, a j => a (i + j)
| a i, xa j => xa (j - i)
| xa i, a j => xa (i + j)
| xa i, xa j => a (n + j - i)
private def one : QuaternionGroup n :=
a 0
instance : Inhabited (QuaternionGroup n) :=
⟨one⟩
private def inv : QuaternionGroup n → QuaternionGroup n
| a i => a (-i)
| xa i => xa (n + i)
instance : Group (QuaternionGroup n) where
mul := mul
mul_assoc := by
rintro (i | i) (j | j) (k | k) <;> simp only [(· * ·), mul] <;> ring_nf
congr
calc
-(n : ZMod (2 * n)) = 0 - n := by rw [zero_sub]
_ = 2 * n - n := by norm_cast; simp
_ = n := by ring
one := one
one_mul := by
rintro (i | i)
· exact congr_arg a (zero_add i)
· exact congr_arg xa (sub_zero i)
mul_one := by
rintro (i | i)
· exact congr_arg a (add_zero i)
· exact congr_arg xa (add_zero i)
inv := inv
mul_left_inv := by
rintro (i | i)
· exact congr_arg a (neg_add_self i)
· exact congr_arg a (sub_self (n + i))
@[simp]
theorem a_mul_a (i j : ZMod (2 * n)) : a i * a j = a (i + j) :=
rfl
#align quaternion_group.a_mul_a QuaternionGroup.a_mul_a
@[simp]
theorem a_mul_xa (i j : ZMod (2 * n)) : a i * xa j = xa (j - i) :=
rfl
#align quaternion_group.a_mul_xa QuaternionGroup.a_mul_xa
@[simp]
theorem xa_mul_a (i j : ZMod (2 * n)) : xa i * a j = xa (i + j) :=
rfl
#align quaternion_group.xa_mul_a QuaternionGroup.xa_mul_a
@[simp]
theorem xa_mul_xa (i j : ZMod (2 * n)) : xa i * xa j = a ((n : ZMod (2 * n)) + j - i) :=
rfl
#align quaternion_group.xa_mul_xa QuaternionGroup.xa_mul_xa
theorem one_def : (1 : QuaternionGroup n) = a 0 :=
rfl
#align quaternion_group.one_def QuaternionGroup.one_def
private def fintypeHelper : Sum (ZMod (2 * n)) (ZMod (2 * n)) ≃ QuaternionGroup n where
invFun i :=
match i with
| a j => Sum.inl j
| xa j => Sum.inr j
toFun i :=
match i with
| Sum.inl j => a j
| Sum.inr j => xa j
left_inv := by rintro (x | x) <;> rfl
right_inv := by rintro (x | x) <;> rfl
def quaternionGroupZeroEquivDihedralGroupZero : QuaternionGroup 0 ≃* DihedralGroup 0 where
toFun i :=
-- Porting note: Originally `QuaternionGroup.recOn i DihedralGroup.r DihedralGroup.sr`
match i with
| a j => DihedralGroup.r j
| xa j => DihedralGroup.sr j
invFun i :=
match i with
| DihedralGroup.r j => a j
| DihedralGroup.sr j => xa j
left_inv := by rintro (k | k) <;> rfl
right_inv := by rintro (k | k) <;> rfl
map_mul' := by rintro (k | k) (l | l) <;> simp
#align quaternion_group.quaternion_group_zero_equiv_dihedral_group_zero QuaternionGroup.quaternionGroupZeroEquivDihedralGroupZero
instance [NeZero n] : Fintype (QuaternionGroup n) :=
Fintype.ofEquiv _ fintypeHelper
instance : Nontrivial (QuaternionGroup n) :=
⟨⟨a 0, xa 0, by revert n; simp⟩⟩ -- Porting note: `revert n; simp` was `decide`
theorem card [NeZero n] : Fintype.card (QuaternionGroup n) = 4 * n := by
rw [← Fintype.card_eq.mpr ⟨fintypeHelper⟩, Fintype.card_sum, ZMod.card, two_mul]
ring
#align quaternion_group.card QuaternionGroup.card
@[simp]
theorem a_one_pow (k : ℕ) : (a 1 : QuaternionGroup n) ^ k = a k := by
induction' k with k IH
· rw [Nat.cast_zero]; rfl
· rw [pow_succ, IH, a_mul_a]
congr 1
norm_cast
#align quaternion_group.a_one_pow QuaternionGroup.a_one_pow
-- @[simp] -- Porting note: simp changes this to `a 0 = 1`, so this is no longer a good simp lemma.
theorem a_one_pow_n : (a 1 : QuaternionGroup n) ^ (2 * n) = 1 := by
rw [a_one_pow, one_def]
congr 1
exact ZMod.natCast_self _
#align quaternion_group.a_one_pow_n QuaternionGroup.a_one_pow_n
@[simp]
theorem xa_sq (i : ZMod (2 * n)) : xa i ^ 2 = a n := by simp [sq]
#align quaternion_group.xa_sq QuaternionGroup.xa_sq
@[simp]
theorem xa_pow_four (i : ZMod (2 * n)) : xa i ^ 4 = 1 := by
rw [pow_succ, pow_succ, sq, xa_mul_xa, a_mul_xa, xa_mul_xa,
add_sub_cancel_right, add_sub_assoc, sub_sub_cancel]
norm_cast
rw [← two_mul]
simp [one_def]
#align quaternion_group.xa_pow_four QuaternionGroup.xa_pow_four
@[simp]
theorem orderOf_xa [NeZero n] (i : ZMod (2 * n)) : orderOf (xa i) = 4 := by
change _ = 2 ^ 2
haveI : Fact (Nat.Prime 2) := Fact.mk Nat.prime_two
apply orderOf_eq_prime_pow
· intro h
simp only [pow_one, xa_sq] at h
injection h with h'
apply_fun ZMod.val at h'
apply_fun (· / n) at h'
simp only [ZMod.val_natCast, ZMod.val_zero, Nat.zero_div, Nat.mod_mul_left_div_self,
Nat.div_self (NeZero.pos n)] at h'
· norm_num
#align quaternion_group.order_of_xa QuaternionGroup.orderOf_xa
theorem quaternionGroup_one_isCyclic : IsCyclic (QuaternionGroup 1) := by
apply isCyclic_of_orderOf_eq_card
· rw [card, mul_one]
exact orderOf_xa 0
#align quaternion_group.quaternion_group_one_is_cyclic QuaternionGroup.quaternionGroup_one_isCyclic
@[simp]
theorem orderOf_a_one : orderOf (a 1 : QuaternionGroup n) = 2 * n := by
cases' eq_zero_or_neZero n with hn hn
· subst hn
simp_rw [mul_zero, orderOf_eq_zero_iff']
intro n h
rw [one_def, a_one_pow]
apply mt a.inj
haveI : CharZero (ZMod (2 * 0)) := ZMod.charZero
simpa using h.ne'
apply (Nat.le_of_dvd
(NeZero.pos _) (orderOf_dvd_of_pow_eq_one (@a_one_pow_n n))).lt_or_eq.resolve_left
intro h
have h1 : (a 1 : QuaternionGroup n) ^ orderOf (a 1) = 1 := pow_orderOf_eq_one _
rw [a_one_pow] at h1
injection h1 with h2
rw [← ZMod.val_eq_zero, ZMod.val_natCast, Nat.mod_eq_of_lt h] at h2
exact absurd h2.symm (orderOf_pos _).ne
#align quaternion_group.order_of_a_one QuaternionGroup.orderOf_a_one
| Mathlib/GroupTheory/SpecificGroups/Quaternion.lean | 256 | 259 | theorem orderOf_a [NeZero n] (i : ZMod (2 * n)) :
orderOf (a i) = 2 * n / Nat.gcd (2 * n) i.val := by |
conv_lhs => rw [← ZMod.natCast_zmod_val i]
rw [← a_one_pow, orderOf_pow, orderOf_a_one]
|
import Mathlib.Data.Sum.Order
import Mathlib.Order.InitialSeg
import Mathlib.SetTheory.Cardinal.Basic
import Mathlib.Tactic.PPWithUniv
#align_import set_theory.ordinal.basic from "leanprover-community/mathlib"@"8ea5598db6caeddde6cb734aa179cc2408dbd345"
assert_not_exists Module
assert_not_exists Field
noncomputable section
open Function Cardinal Set Equiv Order
open scoped Classical
open Cardinal InitialSeg
universe u v w
variable {α : Type u} {β : Type*} {γ : Type*} {r : α → α → Prop} {s : β → β → Prop}
{t : γ → γ → Prop}
structure WellOrder : Type (u + 1) where
α : Type u
r : α → α → Prop
wo : IsWellOrder α r
set_option linter.uppercaseLean3 false in
#align Well_order WellOrder
attribute [instance] WellOrder.wo
namespace WellOrder
instance inhabited : Inhabited WellOrder :=
⟨⟨PEmpty, _, inferInstanceAs (IsWellOrder PEmpty EmptyRelation)⟩⟩
@[simp]
| Mathlib/SetTheory/Ordinal/Basic.lean | 137 | 139 | theorem eta (o : WellOrder) : mk o.α o.r o.wo = o := by |
cases o
rfl
|
import Mathlib.CategoryTheory.Balanced
import Mathlib.CategoryTheory.Limits.EssentiallySmall
import Mathlib.CategoryTheory.Limits.Opposites
import Mathlib.CategoryTheory.Limits.Shapes.ZeroMorphisms
import Mathlib.CategoryTheory.Subobject.Lattice
import Mathlib.CategoryTheory.Subobject.WellPowered
import Mathlib.Data.Set.Opposite
import Mathlib.Data.Set.Subsingleton
#align_import category_theory.generator from "leanprover-community/mathlib"@"f187f1074fa1857c94589cc653c786cadc4c35ff"
universe w v₁ v₂ u₁ u₂
open CategoryTheory.Limits Opposite
namespace CategoryTheory
variable {C : Type u₁} [Category.{v₁} C] {D : Type u₂} [Category.{v₂} D]
def IsSeparating (𝒢 : Set C) : Prop :=
∀ ⦃X Y : C⦄ (f g : X ⟶ Y), (∀ G ∈ 𝒢, ∀ (h : G ⟶ X), h ≫ f = h ≫ g) → f = g
#align category_theory.is_separating CategoryTheory.IsSeparating
def IsCoseparating (𝒢 : Set C) : Prop :=
∀ ⦃X Y : C⦄ (f g : X ⟶ Y), (∀ G ∈ 𝒢, ∀ (h : Y ⟶ G), f ≫ h = g ≫ h) → f = g
#align category_theory.is_coseparating CategoryTheory.IsCoseparating
def IsDetecting (𝒢 : Set C) : Prop :=
∀ ⦃X Y : C⦄ (f : X ⟶ Y), (∀ G ∈ 𝒢, ∀ (h : G ⟶ Y), ∃! h' : G ⟶ X, h' ≫ f = h) → IsIso f
#align category_theory.is_detecting CategoryTheory.IsDetecting
def IsCodetecting (𝒢 : Set C) : Prop :=
∀ ⦃X Y : C⦄ (f : X ⟶ Y), (∀ G ∈ 𝒢, ∀ (h : X ⟶ G), ∃! h' : Y ⟶ G, f ≫ h' = h) → IsIso f
#align category_theory.is_codetecting CategoryTheory.IsCodetecting
section Dual
theorem isSeparating_op_iff (𝒢 : Set C) : IsSeparating 𝒢.op ↔ IsCoseparating 𝒢 := by
refine ⟨fun h𝒢 X Y f g hfg => ?_, fun h𝒢 X Y f g hfg => ?_⟩
· refine Quiver.Hom.op_inj (h𝒢 _ _ fun G hG h => Quiver.Hom.unop_inj ?_)
simpa only [unop_comp, Quiver.Hom.unop_op] using hfg _ (Set.mem_op.1 hG) _
· refine Quiver.Hom.unop_inj (h𝒢 _ _ fun G hG h => Quiver.Hom.op_inj ?_)
simpa only [op_comp, Quiver.Hom.op_unop] using hfg _ (Set.op_mem_op.2 hG) _
#align category_theory.is_separating_op_iff CategoryTheory.isSeparating_op_iff
theorem isCoseparating_op_iff (𝒢 : Set C) : IsCoseparating 𝒢.op ↔ IsSeparating 𝒢 := by
refine ⟨fun h𝒢 X Y f g hfg => ?_, fun h𝒢 X Y f g hfg => ?_⟩
· refine Quiver.Hom.op_inj (h𝒢 _ _ fun G hG h => Quiver.Hom.unop_inj ?_)
simpa only [unop_comp, Quiver.Hom.unop_op] using hfg _ (Set.mem_op.1 hG) _
· refine Quiver.Hom.unop_inj (h𝒢 _ _ fun G hG h => Quiver.Hom.op_inj ?_)
simpa only [op_comp, Quiver.Hom.op_unop] using hfg _ (Set.op_mem_op.2 hG) _
#align category_theory.is_coseparating_op_iff CategoryTheory.isCoseparating_op_iff
theorem isCoseparating_unop_iff (𝒢 : Set Cᵒᵖ) : IsCoseparating 𝒢.unop ↔ IsSeparating 𝒢 := by
rw [← isSeparating_op_iff, Set.unop_op]
#align category_theory.is_coseparating_unop_iff CategoryTheory.isCoseparating_unop_iff
theorem isSeparating_unop_iff (𝒢 : Set Cᵒᵖ) : IsSeparating 𝒢.unop ↔ IsCoseparating 𝒢 := by
rw [← isCoseparating_op_iff, Set.unop_op]
#align category_theory.is_separating_unop_iff CategoryTheory.isSeparating_unop_iff
theorem isDetecting_op_iff (𝒢 : Set C) : IsDetecting 𝒢.op ↔ IsCodetecting 𝒢 := by
refine ⟨fun h𝒢 X Y f hf => ?_, fun h𝒢 X Y f hf => ?_⟩
· refine (isIso_op_iff _).1 (h𝒢 _ fun G hG h => ?_)
obtain ⟨t, ht, ht'⟩ := hf (unop G) (Set.mem_op.1 hG) h.unop
exact
⟨t.op, Quiver.Hom.unop_inj ht, fun y hy => Quiver.Hom.unop_inj (ht' _ (Quiver.Hom.op_inj hy))⟩
· refine (isIso_unop_iff _).1 (h𝒢 _ fun G hG h => ?_)
obtain ⟨t, ht, ht'⟩ := hf (op G) (Set.op_mem_op.2 hG) h.op
refine ⟨t.unop, Quiver.Hom.op_inj ht, fun y hy => Quiver.Hom.op_inj (ht' _ ?_)⟩
exact Quiver.Hom.unop_inj (by simpa only using hy)
#align category_theory.is_detecting_op_iff CategoryTheory.isDetecting_op_iff
| Mathlib/CategoryTheory/Generator.lean | 129 | 138 | theorem isCodetecting_op_iff (𝒢 : Set C) : IsCodetecting 𝒢.op ↔ IsDetecting 𝒢 := by |
refine ⟨fun h𝒢 X Y f hf => ?_, fun h𝒢 X Y f hf => ?_⟩
· refine (isIso_op_iff _).1 (h𝒢 _ fun G hG h => ?_)
obtain ⟨t, ht, ht'⟩ := hf (unop G) (Set.mem_op.1 hG) h.unop
exact
⟨t.op, Quiver.Hom.unop_inj ht, fun y hy => Quiver.Hom.unop_inj (ht' _ (Quiver.Hom.op_inj hy))⟩
· refine (isIso_unop_iff _).1 (h𝒢 _ fun G hG h => ?_)
obtain ⟨t, ht, ht'⟩ := hf (op G) (Set.op_mem_op.2 hG) h.op
refine ⟨t.unop, Quiver.Hom.op_inj ht, fun y hy => Quiver.Hom.op_inj (ht' _ ?_)⟩
exact Quiver.Hom.unop_inj (by simpa only using hy)
|
import Mathlib.Data.List.Sigma
#align_import data.list.alist from "leanprover-community/mathlib"@"f808feb6c18afddb25e66a71d317643cf7fb5fbb"
universe u v w
open List
variable {α : Type u} {β : α → Type v}
structure AList (β : α → Type v) : Type max u v where
entries : List (Sigma β)
nodupKeys : entries.NodupKeys
#align alist AList
def List.toAList [DecidableEq α] {β : α → Type v} (l : List (Sigma β)) : AList β where
entries := _
nodupKeys := nodupKeys_dedupKeys l
#align list.to_alist List.toAList
namespace AList
@[ext]
theorem ext : ∀ {s t : AList β}, s.entries = t.entries → s = t
| ⟨l₁, h₁⟩, ⟨l₂, _⟩, H => by congr
#align alist.ext AList.ext
theorem ext_iff {s t : AList β} : s = t ↔ s.entries = t.entries :=
⟨congr_arg _, ext⟩
#align alist.ext_iff AList.ext_iff
instance [DecidableEq α] [∀ a, DecidableEq (β a)] : DecidableEq (AList β) := fun xs ys => by
rw [ext_iff]; infer_instance
def keys (s : AList β) : List α :=
s.entries.keys
#align alist.keys AList.keys
theorem keys_nodup (s : AList β) : s.keys.Nodup :=
s.nodupKeys
#align alist.keys_nodup AList.keys_nodup
instance : Membership α (AList β) :=
⟨fun a s => a ∈ s.keys⟩
theorem mem_keys {a : α} {s : AList β} : a ∈ s ↔ a ∈ s.keys :=
Iff.rfl
#align alist.mem_keys AList.mem_keys
theorem mem_of_perm {a : α} {s₁ s₂ : AList β} (p : s₁.entries ~ s₂.entries) : a ∈ s₁ ↔ a ∈ s₂ :=
(p.map Sigma.fst).mem_iff
#align alist.mem_of_perm AList.mem_of_perm
instance : EmptyCollection (AList β) :=
⟨⟨[], nodupKeys_nil⟩⟩
instance : Inhabited (AList β) :=
⟨∅⟩
@[simp]
theorem not_mem_empty (a : α) : a ∉ (∅ : AList β) :=
not_mem_nil a
#align alist.not_mem_empty AList.not_mem_empty
@[simp]
theorem empty_entries : (∅ : AList β).entries = [] :=
rfl
#align alist.empty_entries AList.empty_entries
@[simp]
theorem keys_empty : (∅ : AList β).keys = [] :=
rfl
#align alist.keys_empty AList.keys_empty
def singleton (a : α) (b : β a) : AList β :=
⟨[⟨a, b⟩], nodupKeys_singleton _⟩
#align alist.singleton AList.singleton
@[simp]
theorem singleton_entries (a : α) (b : β a) : (singleton a b).entries = [Sigma.mk a b] :=
rfl
#align alist.singleton_entries AList.singleton_entries
@[simp]
theorem keys_singleton (a : α) (b : β a) : (singleton a b).keys = [a] :=
rfl
#align alist.keys_singleton AList.keys_singleton
section
variable [DecidableEq α]
def lookup (a : α) (s : AList β) : Option (β a) :=
s.entries.dlookup a
#align alist.lookup AList.lookup
@[simp]
theorem lookup_empty (a) : lookup a (∅ : AList β) = none :=
rfl
#align alist.lookup_empty AList.lookup_empty
theorem lookup_isSome {a : α} {s : AList β} : (s.lookup a).isSome ↔ a ∈ s :=
dlookup_isSome
#align alist.lookup_is_some AList.lookup_isSome
theorem lookup_eq_none {a : α} {s : AList β} : lookup a s = none ↔ a ∉ s :=
dlookup_eq_none
#align alist.lookup_eq_none AList.lookup_eq_none
theorem mem_lookup_iff {a : α} {b : β a} {s : AList β} :
b ∈ lookup a s ↔ Sigma.mk a b ∈ s.entries :=
mem_dlookup_iff s.nodupKeys
#align alist.mem_lookup_iff AList.mem_lookup_iff
theorem perm_lookup {a : α} {s₁ s₂ : AList β} (p : s₁.entries ~ s₂.entries) :
s₁.lookup a = s₂.lookup a :=
perm_dlookup _ s₁.nodupKeys s₂.nodupKeys p
#align alist.perm_lookup AList.perm_lookup
instance (a : α) (s : AList β) : Decidable (a ∈ s) :=
decidable_of_iff _ lookup_isSome
theorem keys_subset_keys_of_entries_subset_entries
{s₁ s₂ : AList β} (h : s₁.entries ⊆ s₂.entries) : s₁.keys ⊆ s₂.keys := by
intro k hk
letI : DecidableEq α := Classical.decEq α
have := h (mem_lookup_iff.1 (Option.get_mem (lookup_isSome.2 hk)))
rw [← mem_lookup_iff, Option.mem_def] at this
rw [← mem_keys, ← lookup_isSome, this]
exact Option.isSome_some
def replace (a : α) (b : β a) (s : AList β) : AList β :=
⟨kreplace a b s.entries, (kreplace_nodupKeys a b).2 s.nodupKeys⟩
#align alist.replace AList.replace
@[simp]
theorem keys_replace (a : α) (b : β a) (s : AList β) : (replace a b s).keys = s.keys :=
keys_kreplace _ _ _
#align alist.keys_replace AList.keys_replace
@[simp]
theorem mem_replace {a a' : α} {b : β a} {s : AList β} : a' ∈ replace a b s ↔ a' ∈ s := by
rw [mem_keys, keys_replace, ← mem_keys]
#align alist.mem_replace AList.mem_replace
theorem perm_replace {a : α} {b : β a} {s₁ s₂ : AList β} :
s₁.entries ~ s₂.entries → (replace a b s₁).entries ~ (replace a b s₂).entries :=
Perm.kreplace s₁.nodupKeys
#align alist.perm_replace AList.perm_replace
end
def foldl {δ : Type w} (f : δ → ∀ a, β a → δ) (d : δ) (m : AList β) : δ :=
m.entries.foldl (fun r a => f r a.1 a.2) d
#align alist.foldl AList.foldl
section
variable [DecidableEq α]
def erase (a : α) (s : AList β) : AList β :=
⟨s.entries.kerase a, s.nodupKeys.kerase a⟩
#align alist.erase AList.erase
@[simp]
theorem keys_erase (a : α) (s : AList β) : (erase a s).keys = s.keys.erase a :=
keys_kerase
#align alist.keys_erase AList.keys_erase
@[simp]
theorem mem_erase {a a' : α} {s : AList β} : a' ∈ erase a s ↔ a' ≠ a ∧ a' ∈ s := by
rw [mem_keys, keys_erase, s.keys_nodup.mem_erase_iff, ← mem_keys]
#align alist.mem_erase AList.mem_erase
theorem perm_erase {a : α} {s₁ s₂ : AList β} :
s₁.entries ~ s₂.entries → (erase a s₁).entries ~ (erase a s₂).entries :=
Perm.kerase s₁.nodupKeys
#align alist.perm_erase AList.perm_erase
@[simp]
theorem lookup_erase (a) (s : AList β) : lookup a (erase a s) = none :=
dlookup_kerase a s.nodupKeys
#align alist.lookup_erase AList.lookup_erase
@[simp]
theorem lookup_erase_ne {a a'} {s : AList β} (h : a ≠ a') : lookup a (erase a' s) = lookup a s :=
dlookup_kerase_ne h
#align alist.lookup_erase_ne AList.lookup_erase_ne
theorem erase_erase (a a' : α) (s : AList β) : (s.erase a).erase a' = (s.erase a').erase a :=
ext <| kerase_kerase
#align alist.erase_erase AList.erase_erase
def insert (a : α) (b : β a) (s : AList β) : AList β :=
⟨kinsert a b s.entries, kinsert_nodupKeys a b s.nodupKeys⟩
#align alist.insert AList.insert
@[simp]
theorem insert_entries {a} {b : β a} {s : AList β} :
(insert a b s).entries = Sigma.mk a b :: kerase a s.entries :=
rfl
#align alist.insert_entries AList.insert_entries
theorem insert_entries_of_neg {a} {b : β a} {s : AList β} (h : a ∉ s) :
(insert a b s).entries = ⟨a, b⟩ :: s.entries := by rw [insert_entries, kerase_of_not_mem_keys h]
#align alist.insert_entries_of_neg AList.insert_entries_of_neg
-- Todo: rename to `insert_of_not_mem`.
theorem insert_of_neg {a} {b : β a} {s : AList β} (h : a ∉ s) :
insert a b s = ⟨⟨a, b⟩ :: s.entries, nodupKeys_cons.2 ⟨h, s.2⟩⟩ :=
ext <| insert_entries_of_neg h
#align alist.insert_of_neg AList.insert_of_neg
@[simp]
theorem insert_empty (a) (b : β a) : insert a b ∅ = singleton a b :=
rfl
#align alist.insert_empty AList.insert_empty
@[simp]
theorem mem_insert {a a'} {b' : β a'} (s : AList β) : a ∈ insert a' b' s ↔ a = a' ∨ a ∈ s :=
mem_keys_kinsert
#align alist.mem_insert AList.mem_insert
@[simp]
theorem keys_insert {a} {b : β a} (s : AList β) : (insert a b s).keys = a :: s.keys.erase a := by
simp [insert, keys, keys_kerase]
#align alist.keys_insert AList.keys_insert
theorem perm_insert {a} {b : β a} {s₁ s₂ : AList β} (p : s₁.entries ~ s₂.entries) :
(insert a b s₁).entries ~ (insert a b s₂).entries := by
simp only [insert_entries]; exact p.kinsert s₁.nodupKeys
#align alist.perm_insert AList.perm_insert
@[simp]
theorem lookup_insert {a} {b : β a} (s : AList β) : lookup a (insert a b s) = some b := by
simp only [lookup, insert, dlookup_kinsert]
#align alist.lookup_insert AList.lookup_insert
@[simp]
theorem lookup_insert_ne {a a'} {b' : β a'} {s : AList β} (h : a ≠ a') :
lookup a (insert a' b' s) = lookup a s :=
dlookup_kinsert_ne h
#align alist.lookup_insert_ne AList.lookup_insert_ne
@[simp] theorem lookup_insert_eq_none {l : AList β} {k k' : α} {v : β k} :
(l.insert k v).lookup k' = none ↔ (k' ≠ k) ∧ l.lookup k' = none := by
by_cases h : k' = k
· subst h; simp
· simp_all [lookup_insert_ne h]
@[simp]
theorem lookup_to_alist {a} (s : List (Sigma β)) : lookup a s.toAList = s.dlookup a := by
rw [List.toAList, lookup, dlookup_dedupKeys]
#align alist.lookup_to_alist AList.lookup_to_alist
@[simp]
theorem insert_insert {a} {b b' : β a} (s : AList β) :
(s.insert a b).insert a b' = s.insert a b' := by
ext : 1; simp only [AList.insert_entries, List.kerase_cons_eq]
#align alist.insert_insert AList.insert_insert
theorem insert_insert_of_ne {a a'} {b : β a} {b' : β a'} (s : AList β) (h : a ≠ a') :
((s.insert a b).insert a' b').entries ~ ((s.insert a' b').insert a b).entries := by
simp only [insert_entries]; rw [kerase_cons_ne, kerase_cons_ne, kerase_comm] <;>
[apply Perm.swap; exact h; exact h.symm]
#align alist.insert_insert_of_ne AList.insert_insert_of_ne
@[simp]
theorem insert_singleton_eq {a : α} {b b' : β a} : insert a b (singleton a b') = singleton a b :=
ext <| by
simp only [AList.insert_entries, List.kerase_cons_eq, and_self_iff, AList.singleton_entries,
heq_iff_eq, eq_self_iff_true]
#align alist.insert_singleton_eq AList.insert_singleton_eq
@[simp]
theorem entries_toAList (xs : List (Sigma β)) : (List.toAList xs).entries = dedupKeys xs :=
rfl
#align alist.entries_to_alist AList.entries_toAList
theorem toAList_cons (a : α) (b : β a) (xs : List (Sigma β)) :
List.toAList (⟨a, b⟩ :: xs) = insert a b xs.toAList :=
rfl
#align alist.to_alist_cons AList.toAList_cons
| Mathlib/Data/List/AList.lean | 360 | 362 | theorem mk_cons_eq_insert (c : Sigma β) (l : List (Sigma β)) (h : (c :: l).NodupKeys) :
(⟨c :: l, h⟩ : AList β) = insert c.1 c.2 ⟨l, nodupKeys_of_nodupKeys_cons h⟩ := by |
simpa [insert] using (kerase_of_not_mem_keys <| not_mem_keys_of_nodupKeys_cons h).symm
|
import Mathlib.Topology.Algebra.Constructions
import Mathlib.Topology.Bases
import Mathlib.Topology.UniformSpace.Basic
#align_import topology.uniform_space.cauchy from "leanprover-community/mathlib"@"22131150f88a2d125713ffa0f4693e3355b1eb49"
universe u v
open scoped Classical
open Filter TopologicalSpace Set UniformSpace Function
open scoped Classical
open Uniformity Topology Filter
variable {α : Type u} {β : Type v} [uniformSpace : UniformSpace α]
def Cauchy (f : Filter α) :=
NeBot f ∧ f ×ˢ f ≤ 𝓤 α
#align cauchy Cauchy
def IsComplete (s : Set α) :=
∀ f, Cauchy f → f ≤ 𝓟 s → ∃ x ∈ s, f ≤ 𝓝 x
#align is_complete IsComplete
theorem Filter.HasBasis.cauchy_iff {ι} {p : ι → Prop} {s : ι → Set (α × α)} (h : (𝓤 α).HasBasis p s)
{f : Filter α} :
Cauchy f ↔ NeBot f ∧ ∀ i, p i → ∃ t ∈ f, ∀ x ∈ t, ∀ y ∈ t, (x, y) ∈ s i :=
and_congr Iff.rfl <|
(f.basis_sets.prod_self.le_basis_iff h).trans <| by
simp only [subset_def, Prod.forall, mem_prod_eq, and_imp, id, forall_mem_comm]
#align filter.has_basis.cauchy_iff Filter.HasBasis.cauchy_iff
theorem cauchy_iff' {f : Filter α} :
Cauchy f ↔ NeBot f ∧ ∀ s ∈ 𝓤 α, ∃ t ∈ f, ∀ x ∈ t, ∀ y ∈ t, (x, y) ∈ s :=
(𝓤 α).basis_sets.cauchy_iff
#align cauchy_iff' cauchy_iff'
theorem cauchy_iff {f : Filter α} : Cauchy f ↔ NeBot f ∧ ∀ s ∈ 𝓤 α, ∃ t ∈ f, t ×ˢ t ⊆ s :=
cauchy_iff'.trans <| by
simp only [subset_def, Prod.forall, mem_prod_eq, and_imp, id, forall_mem_comm]
#align cauchy_iff cauchy_iff
lemma cauchy_iff_le {l : Filter α} [hl : l.NeBot] :
Cauchy l ↔ l ×ˢ l ≤ 𝓤 α := by
simp only [Cauchy, hl, true_and]
theorem Cauchy.ultrafilter_of {l : Filter α} (h : Cauchy l) :
Cauchy (@Ultrafilter.of _ l h.1 : Filter α) := by
haveI := h.1
have := Ultrafilter.of_le l
exact ⟨Ultrafilter.neBot _, (Filter.prod_mono this this).trans h.2⟩
#align cauchy.ultrafilter_of Cauchy.ultrafilter_of
theorem cauchy_map_iff {l : Filter β} {f : β → α} :
Cauchy (l.map f) ↔ NeBot l ∧ Tendsto (fun p : β × β => (f p.1, f p.2)) (l ×ˢ l) (𝓤 α) := by
rw [Cauchy, map_neBot_iff, prod_map_map_eq, Tendsto]
#align cauchy_map_iff cauchy_map_iff
theorem cauchy_map_iff' {l : Filter β} [hl : NeBot l] {f : β → α} :
Cauchy (l.map f) ↔ Tendsto (fun p : β × β => (f p.1, f p.2)) (l ×ˢ l) (𝓤 α) :=
cauchy_map_iff.trans <| and_iff_right hl
#align cauchy_map_iff' cauchy_map_iff'
theorem Cauchy.mono {f g : Filter α} [hg : NeBot g] (h_c : Cauchy f) (h_le : g ≤ f) : Cauchy g :=
⟨hg, le_trans (Filter.prod_mono h_le h_le) h_c.right⟩
#align cauchy.mono Cauchy.mono
theorem Cauchy.mono' {f g : Filter α} (h_c : Cauchy f) (_ : NeBot g) (h_le : g ≤ f) : Cauchy g :=
h_c.mono h_le
#align cauchy.mono' Cauchy.mono'
theorem cauchy_nhds {a : α} : Cauchy (𝓝 a) :=
⟨nhds_neBot, nhds_prod_eq.symm.trans_le (nhds_le_uniformity a)⟩
#align cauchy_nhds cauchy_nhds
theorem cauchy_pure {a : α} : Cauchy (pure a) :=
cauchy_nhds.mono (pure_le_nhds a)
#align cauchy_pure cauchy_pure
theorem Filter.Tendsto.cauchy_map {l : Filter β} [NeBot l] {f : β → α} {a : α}
(h : Tendsto f l (𝓝 a)) : Cauchy (map f l) :=
cauchy_nhds.mono h
#align filter.tendsto.cauchy_map Filter.Tendsto.cauchy_map
lemma Cauchy.mono_uniformSpace {u v : UniformSpace β} {F : Filter β} (huv : u ≤ v)
(hF : Cauchy (uniformSpace := u) F) : Cauchy (uniformSpace := v) F :=
⟨hF.1, hF.2.trans huv⟩
lemma cauchy_inf_uniformSpace {u v : UniformSpace β} {F : Filter β} :
Cauchy (uniformSpace := u ⊓ v) F ↔
Cauchy (uniformSpace := u) F ∧ Cauchy (uniformSpace := v) F := by
unfold Cauchy
rw [inf_uniformity (u := u), le_inf_iff, and_and_left]
lemma cauchy_iInf_uniformSpace {ι : Sort*} [Nonempty ι] {u : ι → UniformSpace β}
{l : Filter β} :
Cauchy (uniformSpace := ⨅ i, u i) l ↔ ∀ i, Cauchy (uniformSpace := u i) l := by
unfold Cauchy
rw [iInf_uniformity, le_iInf_iff, forall_and, forall_const]
lemma cauchy_iInf_uniformSpace' {ι : Sort*} {u : ι → UniformSpace β}
{l : Filter β} [l.NeBot] :
Cauchy (uniformSpace := ⨅ i, u i) l ↔ ∀ i, Cauchy (uniformSpace := u i) l := by
simp_rw [cauchy_iff_le (uniformSpace := _), iInf_uniformity, le_iInf_iff]
lemma cauchy_comap_uniformSpace {u : UniformSpace β} {f : α → β} {l : Filter α} :
Cauchy (uniformSpace := comap f u) l ↔ Cauchy (map f l) := by
simp only [Cauchy, map_neBot_iff, prod_map_map_eq, map_le_iff_le_comap]
rfl
lemma cauchy_prod_iff [UniformSpace β] {F : Filter (α × β)} :
Cauchy F ↔ Cauchy (map Prod.fst F) ∧ Cauchy (map Prod.snd F) := by
simp_rw [instUniformSpaceProd, ← cauchy_comap_uniformSpace, ← cauchy_inf_uniformSpace]
theorem Cauchy.prod [UniformSpace β] {f : Filter α} {g : Filter β} (hf : Cauchy f) (hg : Cauchy g) :
Cauchy (f ×ˢ g) := by
have := hf.1; have := hg.1
simpa [cauchy_prod_iff, hf.1] using ⟨hf, hg⟩
#align cauchy.prod Cauchy.prod
theorem le_nhds_of_cauchy_adhp_aux {f : Filter α} {x : α}
(adhs : ∀ s ∈ 𝓤 α, ∃ t ∈ f, t ×ˢ t ⊆ s ∧ ∃ y, (x, y) ∈ s ∧ y ∈ t) : f ≤ 𝓝 x := by
-- Consider a neighborhood `s` of `x`
intro s hs
-- Take an entourage twice smaller than `s`
rcases comp_mem_uniformity_sets (mem_nhds_uniformity_iff_right.1 hs) with ⟨U, U_mem, hU⟩
-- Take a set `t ∈ f`, `t × t ⊆ U`, and a point `y ∈ t` such that `(x, y) ∈ U`
rcases adhs U U_mem with ⟨t, t_mem, ht, y, hxy, hy⟩
apply mem_of_superset t_mem
-- Given a point `z ∈ t`, we have `(x, y) ∈ U` and `(y, z) ∈ t × t ⊆ U`, hence `z ∈ s`
exact fun z hz => hU (prod_mk_mem_compRel hxy (ht <| mk_mem_prod hy hz)) rfl
#align le_nhds_of_cauchy_adhp_aux le_nhds_of_cauchy_adhp_aux
theorem le_nhds_of_cauchy_adhp {f : Filter α} {x : α} (hf : Cauchy f) (adhs : ClusterPt x f) :
f ≤ 𝓝 x :=
le_nhds_of_cauchy_adhp_aux
(fun s hs => by
obtain ⟨t, t_mem, ht⟩ : ∃ t ∈ f, t ×ˢ t ⊆ s := (cauchy_iff.1 hf).2 s hs
use t, t_mem, ht
exact forall_mem_nonempty_iff_neBot.2 adhs _ (inter_mem_inf (mem_nhds_left x hs) t_mem))
#align le_nhds_of_cauchy_adhp le_nhds_of_cauchy_adhp
theorem le_nhds_iff_adhp_of_cauchy {f : Filter α} {x : α} (hf : Cauchy f) :
f ≤ 𝓝 x ↔ ClusterPt x f :=
⟨fun h => ClusterPt.of_le_nhds' h hf.1, le_nhds_of_cauchy_adhp hf⟩
#align le_nhds_iff_adhp_of_cauchy le_nhds_iff_adhp_of_cauchy
nonrec theorem Cauchy.map [UniformSpace β] {f : Filter α} {m : α → β} (hf : Cauchy f)
(hm : UniformContinuous m) : Cauchy (map m f) :=
⟨hf.1.map _,
calc
map m f ×ˢ map m f = map (Prod.map m m) (f ×ˢ f) := Filter.prod_map_map_eq
_ ≤ Filter.map (Prod.map m m) (𝓤 α) := map_mono hf.right
_ ≤ 𝓤 β := hm⟩
#align cauchy.map Cauchy.map
nonrec theorem Cauchy.comap [UniformSpace β] {f : Filter β} {m : α → β} (hf : Cauchy f)
(hm : comap (fun p : α × α => (m p.1, m p.2)) (𝓤 β) ≤ 𝓤 α) [NeBot (comap m f)] :
Cauchy (comap m f) :=
⟨‹_›,
calc
comap m f ×ˢ comap m f = comap (Prod.map m m) (f ×ˢ f) := prod_comap_comap_eq
_ ≤ comap (Prod.map m m) (𝓤 β) := comap_mono hf.right
_ ≤ 𝓤 α := hm⟩
#align cauchy.comap Cauchy.comap
theorem Cauchy.comap' [UniformSpace β] {f : Filter β} {m : α → β} (hf : Cauchy f)
(hm : Filter.comap (fun p : α × α => (m p.1, m p.2)) (𝓤 β) ≤ 𝓤 α)
(_ : NeBot (Filter.comap m f)) : Cauchy (Filter.comap m f) :=
hf.comap hm
#align cauchy.comap' Cauchy.comap'
def CauchySeq [Preorder β] (u : β → α) :=
Cauchy (atTop.map u)
#align cauchy_seq CauchySeq
theorem CauchySeq.tendsto_uniformity [Preorder β] {u : β → α} (h : CauchySeq u) :
Tendsto (Prod.map u u) atTop (𝓤 α) := by
simpa only [Tendsto, prod_map_map_eq', prod_atTop_atTop_eq] using h.right
#align cauchy_seq.tendsto_uniformity CauchySeq.tendsto_uniformity
theorem CauchySeq.nonempty [Preorder β] {u : β → α} (hu : CauchySeq u) : Nonempty β :=
@nonempty_of_neBot _ _ <| (map_neBot_iff _).1 hu.1
#align cauchy_seq.nonempty CauchySeq.nonempty
theorem CauchySeq.mem_entourage {β : Type*} [SemilatticeSup β] {u : β → α} (h : CauchySeq u)
{V : Set (α × α)} (hV : V ∈ 𝓤 α) : ∃ k₀, ∀ i j, k₀ ≤ i → k₀ ≤ j → (u i, u j) ∈ V := by
haveI := h.nonempty
have := h.tendsto_uniformity; rw [← prod_atTop_atTop_eq] at this
simpa [MapsTo] using atTop_basis.prod_self.tendsto_left_iff.1 this V hV
#align cauchy_seq.mem_entourage CauchySeq.mem_entourage
theorem Filter.Tendsto.cauchySeq [SemilatticeSup β] [Nonempty β] {f : β → α} {x}
(hx : Tendsto f atTop (𝓝 x)) : CauchySeq f :=
hx.cauchy_map
#align filter.tendsto.cauchy_seq Filter.Tendsto.cauchySeq
theorem cauchySeq_const [SemilatticeSup β] [Nonempty β] (x : α) : CauchySeq fun _ : β => x :=
tendsto_const_nhds.cauchySeq
#align cauchy_seq_const cauchySeq_const
theorem cauchySeq_iff_tendsto [Nonempty β] [SemilatticeSup β] {u : β → α} :
CauchySeq u ↔ Tendsto (Prod.map u u) atTop (𝓤 α) :=
cauchy_map_iff'.trans <| by simp only [prod_atTop_atTop_eq, Prod.map_def]
#align cauchy_seq_iff_tendsto cauchySeq_iff_tendsto
theorem CauchySeq.comp_tendsto {γ} [Preorder β] [SemilatticeSup γ] [Nonempty γ] {f : β → α}
(hf : CauchySeq f) {g : γ → β} (hg : Tendsto g atTop atTop) : CauchySeq (f ∘ g) :=
⟨inferInstance, le_trans (prod_le_prod.mpr ⟨Tendsto.comp le_rfl hg, Tendsto.comp le_rfl hg⟩) hf.2⟩
#align cauchy_seq.comp_tendsto CauchySeq.comp_tendsto
theorem CauchySeq.comp_injective [SemilatticeSup β] [NoMaxOrder β] [Nonempty β] {u : ℕ → α}
(hu : CauchySeq u) {f : β → ℕ} (hf : Injective f) : CauchySeq (u ∘ f) :=
hu.comp_tendsto <| Nat.cofinite_eq_atTop ▸ hf.tendsto_cofinite.mono_left atTop_le_cofinite
#align cauchy_seq.comp_injective CauchySeq.comp_injective
| Mathlib/Topology/UniformSpace/Cauchy.lean | 242 | 246 | theorem Function.Bijective.cauchySeq_comp_iff {f : ℕ → ℕ} (hf : Bijective f) (u : ℕ → α) :
CauchySeq (u ∘ f) ↔ CauchySeq u := by |
refine ⟨fun H => ?_, fun H => H.comp_injective hf.injective⟩
lift f to ℕ ≃ ℕ using hf
simpa only [(· ∘ ·), f.apply_symm_apply] using H.comp_injective f.symm.injective
|
import Mathlib.Data.Stream.Init
import Mathlib.Tactic.Common
#align_import data.seq.computation from "leanprover-community/mathlib"@"1f0096e6caa61e9c849ec2adbd227e960e9dff58"
open Function
universe u v w
def Computation (α : Type u) : Type u :=
{ f : Stream' (Option α) // ∀ ⦃n a⦄, f n = some a → f (n + 1) = some a }
#align computation Computation
namespace Computation
variable {α : Type u} {β : Type v} {γ : Type w}
-- constructors
-- Porting note: `return` is reserved, so changed to `pure`
def pure (a : α) : Computation α :=
⟨Stream'.const (some a), fun _ _ => id⟩
#align computation.return Computation.pure
instance : CoeTC α (Computation α) :=
⟨pure⟩
-- note [use has_coe_t]
def think (c : Computation α) : Computation α :=
⟨Stream'.cons none c.1, fun n a h => by
cases' n with n
· contradiction
· exact c.2 h⟩
#align computation.think Computation.think
def thinkN (c : Computation α) : ℕ → Computation α
| 0 => c
| n + 1 => think (thinkN c n)
set_option linter.uppercaseLean3 false in
#align computation.thinkN Computation.thinkN
-- check for immediate result
def head (c : Computation α) : Option α :=
c.1.head
#align computation.head Computation.head
-- one step of computation
def tail (c : Computation α) : Computation α :=
⟨c.1.tail, fun _ _ h => c.2 h⟩
#align computation.tail Computation.tail
def empty (α) : Computation α :=
⟨Stream'.const none, fun _ _ => id⟩
#align computation.empty Computation.empty
instance : Inhabited (Computation α) :=
⟨empty _⟩
def runFor : Computation α → ℕ → Option α :=
Subtype.val
#align computation.run_for Computation.runFor
def destruct (c : Computation α) : Sum α (Computation α) :=
match c.1 0 with
| none => Sum.inr (tail c)
| some a => Sum.inl a
#align computation.destruct Computation.destruct
unsafe def run : Computation α → α
| c =>
match destruct c with
| Sum.inl a => a
| Sum.inr ca => run ca
#align computation.run Computation.run
theorem destruct_eq_pure {s : Computation α} {a : α} : destruct s = Sum.inl a → s = pure a := by
dsimp [destruct]
induction' f0 : s.1 0 with _ <;> intro h
· contradiction
· apply Subtype.eq
funext n
induction' n with n IH
· injection h with h'
rwa [h'] at f0
· exact s.2 IH
#align computation.destruct_eq_ret Computation.destruct_eq_pure
theorem destruct_eq_think {s : Computation α} {s'} : destruct s = Sum.inr s' → s = think s' := by
dsimp [destruct]
induction' f0 : s.1 0 with a' <;> intro h
· injection h with h'
rw [← h']
cases' s with f al
apply Subtype.eq
dsimp [think, tail]
rw [← f0]
exact (Stream'.eta f).symm
· contradiction
#align computation.destruct_eq_think Computation.destruct_eq_think
@[simp]
theorem destruct_pure (a : α) : destruct (pure a) = Sum.inl a :=
rfl
#align computation.destruct_ret Computation.destruct_pure
@[simp]
theorem destruct_think : ∀ s : Computation α, destruct (think s) = Sum.inr s
| ⟨_, _⟩ => rfl
#align computation.destruct_think Computation.destruct_think
@[simp]
theorem destruct_empty : destruct (empty α) = Sum.inr (empty α) :=
rfl
#align computation.destruct_empty Computation.destruct_empty
@[simp]
theorem head_pure (a : α) : head (pure a) = some a :=
rfl
#align computation.head_ret Computation.head_pure
@[simp]
theorem head_think (s : Computation α) : head (think s) = none :=
rfl
#align computation.head_think Computation.head_think
@[simp]
theorem head_empty : head (empty α) = none :=
rfl
#align computation.head_empty Computation.head_empty
@[simp]
theorem tail_pure (a : α) : tail (pure a) = pure a :=
rfl
#align computation.tail_ret Computation.tail_pure
@[simp]
theorem tail_think (s : Computation α) : tail (think s) = s := by
cases' s with f al; apply Subtype.eq; dsimp [tail, think]
#align computation.tail_think Computation.tail_think
@[simp]
theorem tail_empty : tail (empty α) = empty α :=
rfl
#align computation.tail_empty Computation.tail_empty
theorem think_empty : empty α = think (empty α) :=
destruct_eq_think destruct_empty
#align computation.think_empty Computation.think_empty
def recOn {C : Computation α → Sort v} (s : Computation α) (h1 : ∀ a, C (pure a))
(h2 : ∀ s, C (think s)) : C s :=
match H : destruct s with
| Sum.inl v => by
rw [destruct_eq_pure H]
apply h1
| Sum.inr v => match v with
| ⟨a, s'⟩ => by
rw [destruct_eq_think H]
apply h2
#align computation.rec_on Computation.recOn
def Corec.f (f : β → Sum α β) : Sum α β → Option α × Sum α β
| Sum.inl a => (some a, Sum.inl a)
| Sum.inr b =>
(match f b with
| Sum.inl a => some a
| Sum.inr _ => none,
f b)
set_option linter.uppercaseLean3 false in
#align computation.corec.F Computation.Corec.f
def corec (f : β → Sum α β) (b : β) : Computation α := by
refine ⟨Stream'.corec' (Corec.f f) (Sum.inr b), fun n a' h => ?_⟩
rw [Stream'.corec'_eq]
change Stream'.corec' (Corec.f f) (Corec.f f (Sum.inr b)).2 n = some a'
revert h; generalize Sum.inr b = o; revert o
induction' n with n IH <;> intro o
· change (Corec.f f o).1 = some a' → (Corec.f f (Corec.f f o).2).1 = some a'
cases' o with _ b <;> intro h
· exact h
unfold Corec.f at *; split <;> simp_all
· rw [Stream'.corec'_eq (Corec.f f) (Corec.f f o).2, Stream'.corec'_eq (Corec.f f) o]
exact IH (Corec.f f o).2
#align computation.corec Computation.corec
def lmap (f : α → β) : Sum α γ → Sum β γ
| Sum.inl a => Sum.inl (f a)
| Sum.inr b => Sum.inr b
#align computation.lmap Computation.lmap
def rmap (f : β → γ) : Sum α β → Sum α γ
| Sum.inl a => Sum.inl a
| Sum.inr b => Sum.inr (f b)
#align computation.rmap Computation.rmap
attribute [simp] lmap rmap
-- Porting note: this was far less painful in mathlib3. There seem to be two issues;
-- firstly, in mathlib3 we have `corec.F._match_1` and it's the obvious map α ⊕ β → option α.
-- In mathlib4 we have `Corec.f.match_1` and it's something completely different.
-- Secondly, the proof that `Stream'.corec' (Corec.f f) (Sum.inr b) 0` is this function
-- evaluated at `f b`, used to be `rfl` and now is `cases, rfl`.
@[simp]
theorem corec_eq (f : β → Sum α β) (b : β) : destruct (corec f b) = rmap (corec f) (f b) := by
dsimp [corec, destruct]
rw [show Stream'.corec' (Corec.f f) (Sum.inr b) 0 =
Sum.rec Option.some (fun _ ↦ none) (f b) by
dsimp [Corec.f, Stream'.corec', Stream'.corec, Stream'.map, Stream'.get, Stream'.iterate]
match (f b) with
| Sum.inl x => rfl
| Sum.inr x => rfl
]
induction' h : f b with a b'; · rfl
dsimp [Corec.f, destruct]
apply congr_arg; apply Subtype.eq
dsimp [corec, tail]
rw [Stream'.corec'_eq, Stream'.tail_cons]
dsimp [Corec.f]; rw [h]
#align computation.corec_eq Computation.corec_eq
-- It's more of a stretch to use ∈ for this relation, but it
-- asserts that the computation limits to the given value.
protected def Mem (a : α) (s : Computation α) :=
some a ∈ s.1
#align computation.mem Computation.Mem
instance : Membership α (Computation α) :=
⟨Computation.Mem⟩
theorem le_stable (s : Computation α) {a m n} (h : m ≤ n) : s.1 m = some a → s.1 n = some a := by
cases' s with f al
induction' h with n _ IH
exacts [id, fun h2 => al (IH h2)]
#align computation.le_stable Computation.le_stable
theorem mem_unique {s : Computation α} {a b : α} : a ∈ s → b ∈ s → a = b
| ⟨m, ha⟩, ⟨n, hb⟩ => by
injection
(le_stable s (le_max_left m n) ha.symm).symm.trans (le_stable s (le_max_right m n) hb.symm)
#align computation.mem_unique Computation.mem_unique
theorem Mem.left_unique : Relator.LeftUnique ((· ∈ ·) : α → Computation α → Prop) := fun _ _ _ =>
mem_unique
#align computation.mem.left_unique Computation.Mem.left_unique
class Terminates (s : Computation α) : Prop where
term : ∃ a, a ∈ s
#align computation.terminates Computation.Terminates
theorem terminates_iff (s : Computation α) : Terminates s ↔ ∃ a, a ∈ s :=
⟨fun h => h.1, Terminates.mk⟩
#align computation.terminates_iff Computation.terminates_iff
theorem terminates_of_mem {s : Computation α} {a : α} (h : a ∈ s) : Terminates s :=
⟨⟨a, h⟩⟩
#align computation.terminates_of_mem Computation.terminates_of_mem
theorem terminates_def (s : Computation α) : Terminates s ↔ ∃ n, (s.1 n).isSome :=
⟨fun ⟨⟨a, n, h⟩⟩ =>
⟨n, by
dsimp [Stream'.get] at h
rw [← h]
exact rfl⟩,
fun ⟨n, h⟩ => ⟨⟨Option.get _ h, n, (Option.eq_some_of_isSome h).symm⟩⟩⟩
#align computation.terminates_def Computation.terminates_def
theorem ret_mem (a : α) : a ∈ pure a :=
Exists.intro 0 rfl
#align computation.ret_mem Computation.ret_mem
theorem eq_of_pure_mem {a a' : α} (h : a' ∈ pure a) : a' = a :=
mem_unique h (ret_mem _)
#align computation.eq_of_ret_mem Computation.eq_of_pure_mem
instance ret_terminates (a : α) : Terminates (pure a) :=
terminates_of_mem (ret_mem _)
#align computation.ret_terminates Computation.ret_terminates
theorem think_mem {s : Computation α} {a} : a ∈ s → a ∈ think s
| ⟨n, h⟩ => ⟨n + 1, h⟩
#align computation.think_mem Computation.think_mem
instance think_terminates (s : Computation α) : ∀ [Terminates s], Terminates (think s)
| ⟨⟨a, n, h⟩⟩ => ⟨⟨a, n + 1, h⟩⟩
#align computation.think_terminates Computation.think_terminates
theorem of_think_mem {s : Computation α} {a} : a ∈ think s → a ∈ s
| ⟨n, h⟩ => by
cases' n with n'
· contradiction
· exact ⟨n', h⟩
#align computation.of_think_mem Computation.of_think_mem
theorem of_think_terminates {s : Computation α} : Terminates (think s) → Terminates s
| ⟨⟨a, h⟩⟩ => ⟨⟨a, of_think_mem h⟩⟩
#align computation.of_think_terminates Computation.of_think_terminates
theorem not_mem_empty (a : α) : a ∉ empty α := fun ⟨n, h⟩ => by contradiction
#align computation.not_mem_empty Computation.not_mem_empty
theorem not_terminates_empty : ¬Terminates (empty α) := fun ⟨⟨a, h⟩⟩ => not_mem_empty a h
#align computation.not_terminates_empty Computation.not_terminates_empty
| Mathlib/Data/Seq/Computation.lean | 400 | 403 | theorem eq_empty_of_not_terminates {s} (H : ¬Terminates s) : s = empty α := by |
apply Subtype.eq; funext n
induction' h : s.val n with _; · rfl
refine absurd ?_ H; exact ⟨⟨_, _, h.symm⟩⟩
|
import Mathlib.Analysis.SpecialFunctions.Exp
import Mathlib.Data.Nat.Factorization.Basic
import Mathlib.Analysis.NormedSpace.Real
#align_import analysis.special_functions.log.basic from "leanprover-community/mathlib"@"f23a09ce6d3f367220dc3cecad6b7eb69eb01690"
open Set Filter Function
open Topology
noncomputable section
namespace Real
variable {x y : ℝ}
-- @[pp_nodot] -- Porting note: removed
noncomputable def log (x : ℝ) : ℝ :=
if hx : x = 0 then 0 else expOrderIso.symm ⟨|x|, abs_pos.2 hx⟩
#align real.log Real.log
theorem log_of_ne_zero (hx : x ≠ 0) : log x = expOrderIso.symm ⟨|x|, abs_pos.2 hx⟩ :=
dif_neg hx
#align real.log_of_ne_zero Real.log_of_ne_zero
theorem log_of_pos (hx : 0 < x) : log x = expOrderIso.symm ⟨x, hx⟩ := by
rw [log_of_ne_zero hx.ne']
congr
exact abs_of_pos hx
#align real.log_of_pos Real.log_of_pos
theorem exp_log_eq_abs (hx : x ≠ 0) : exp (log x) = |x| := by
rw [log_of_ne_zero hx, ← coe_expOrderIso_apply, OrderIso.apply_symm_apply, Subtype.coe_mk]
#align real.exp_log_eq_abs Real.exp_log_eq_abs
theorem exp_log (hx : 0 < x) : exp (log x) = x := by
rw [exp_log_eq_abs hx.ne']
exact abs_of_pos hx
#align real.exp_log Real.exp_log
theorem exp_log_of_neg (hx : x < 0) : exp (log x) = -x := by
rw [exp_log_eq_abs (ne_of_lt hx)]
exact abs_of_neg hx
#align real.exp_log_of_neg Real.exp_log_of_neg
theorem le_exp_log (x : ℝ) : x ≤ exp (log x) := by
by_cases h_zero : x = 0
· rw [h_zero, log, dif_pos rfl, exp_zero]
exact zero_le_one
· rw [exp_log_eq_abs h_zero]
exact le_abs_self _
#align real.le_exp_log Real.le_exp_log
@[simp]
theorem log_exp (x : ℝ) : log (exp x) = x :=
exp_injective <| exp_log (exp_pos x)
#align real.log_exp Real.log_exp
theorem surjOn_log : SurjOn log (Ioi 0) univ := fun x _ => ⟨exp x, exp_pos x, log_exp x⟩
#align real.surj_on_log Real.surjOn_log
theorem log_surjective : Surjective log := fun x => ⟨exp x, log_exp x⟩
#align real.log_surjective Real.log_surjective
@[simp]
theorem range_log : range log = univ :=
log_surjective.range_eq
#align real.range_log Real.range_log
@[simp]
theorem log_zero : log 0 = 0 :=
dif_pos rfl
#align real.log_zero Real.log_zero
@[simp]
theorem log_one : log 1 = 0 :=
exp_injective <| by rw [exp_log zero_lt_one, exp_zero]
#align real.log_one Real.log_one
@[simp]
theorem log_abs (x : ℝ) : log |x| = log x := by
by_cases h : x = 0
· simp [h]
· rw [← exp_eq_exp, exp_log_eq_abs h, exp_log_eq_abs (abs_pos.2 h).ne', abs_abs]
#align real.log_abs Real.log_abs
@[simp]
theorem log_neg_eq_log (x : ℝ) : log (-x) = log x := by rw [← log_abs x, ← log_abs (-x), abs_neg]
#align real.log_neg_eq_log Real.log_neg_eq_log
theorem sinh_log {x : ℝ} (hx : 0 < x) : sinh (log x) = (x - x⁻¹) / 2 := by
rw [sinh_eq, exp_neg, exp_log hx]
#align real.sinh_log Real.sinh_log
theorem cosh_log {x : ℝ} (hx : 0 < x) : cosh (log x) = (x + x⁻¹) / 2 := by
rw [cosh_eq, exp_neg, exp_log hx]
#align real.cosh_log Real.cosh_log
theorem surjOn_log' : SurjOn log (Iio 0) univ := fun x _ =>
⟨-exp x, neg_lt_zero.2 <| exp_pos x, by rw [log_neg_eq_log, log_exp]⟩
#align real.surj_on_log' Real.surjOn_log'
theorem log_mul (hx : x ≠ 0) (hy : y ≠ 0) : log (x * y) = log x + log y :=
exp_injective <| by
rw [exp_log_eq_abs (mul_ne_zero hx hy), exp_add, exp_log_eq_abs hx, exp_log_eq_abs hy, abs_mul]
#align real.log_mul Real.log_mul
theorem log_div (hx : x ≠ 0) (hy : y ≠ 0) : log (x / y) = log x - log y :=
exp_injective <| by
rw [exp_log_eq_abs (div_ne_zero hx hy), exp_sub, exp_log_eq_abs hx, exp_log_eq_abs hy, abs_div]
#align real.log_div Real.log_div
@[simp]
theorem log_inv (x : ℝ) : log x⁻¹ = -log x := by
by_cases hx : x = 0; · simp [hx]
rw [← exp_eq_exp, exp_log_eq_abs (inv_ne_zero hx), exp_neg, exp_log_eq_abs hx, abs_inv]
#align real.log_inv Real.log_inv
theorem log_le_log_iff (h : 0 < x) (h₁ : 0 < y) : log x ≤ log y ↔ x ≤ y := by
rw [← exp_le_exp, exp_log h, exp_log h₁]
#align real.log_le_log Real.log_le_log_iff
@[gcongr]
lemma log_le_log (hx : 0 < x) (hxy : x ≤ y) : log x ≤ log y :=
(log_le_log_iff hx (hx.trans_le hxy)).2 hxy
@[gcongr]
theorem log_lt_log (hx : 0 < x) (h : x < y) : log x < log y := by
rwa [← exp_lt_exp, exp_log hx, exp_log (lt_trans hx h)]
#align real.log_lt_log Real.log_lt_log
theorem log_lt_log_iff (hx : 0 < x) (hy : 0 < y) : log x < log y ↔ x < y := by
rw [← exp_lt_exp, exp_log hx, exp_log hy]
#align real.log_lt_log_iff Real.log_lt_log_iff
theorem log_le_iff_le_exp (hx : 0 < x) : log x ≤ y ↔ x ≤ exp y := by rw [← exp_le_exp, exp_log hx]
#align real.log_le_iff_le_exp Real.log_le_iff_le_exp
theorem log_lt_iff_lt_exp (hx : 0 < x) : log x < y ↔ x < exp y := by rw [← exp_lt_exp, exp_log hx]
#align real.log_lt_iff_lt_exp Real.log_lt_iff_lt_exp
theorem le_log_iff_exp_le (hy : 0 < y) : x ≤ log y ↔ exp x ≤ y := by rw [← exp_le_exp, exp_log hy]
#align real.le_log_iff_exp_le Real.le_log_iff_exp_le
theorem lt_log_iff_exp_lt (hy : 0 < y) : x < log y ↔ exp x < y := by rw [← exp_lt_exp, exp_log hy]
#align real.lt_log_iff_exp_lt Real.lt_log_iff_exp_lt
theorem log_pos_iff (hx : 0 < x) : 0 < log x ↔ 1 < x := by
rw [← log_one]
exact log_lt_log_iff zero_lt_one hx
#align real.log_pos_iff Real.log_pos_iff
theorem log_pos (hx : 1 < x) : 0 < log x :=
(log_pos_iff (lt_trans zero_lt_one hx)).2 hx
#align real.log_pos Real.log_pos
theorem log_pos_of_lt_neg_one (hx : x < -1) : 0 < log x := by
rw [← neg_neg x, log_neg_eq_log]
have : 1 < -x := by linarith
exact log_pos this
theorem log_neg_iff (h : 0 < x) : log x < 0 ↔ x < 1 := by
rw [← log_one]
exact log_lt_log_iff h zero_lt_one
#align real.log_neg_iff Real.log_neg_iff
theorem log_neg (h0 : 0 < x) (h1 : x < 1) : log x < 0 :=
(log_neg_iff h0).2 h1
#align real.log_neg Real.log_neg
theorem log_neg_of_lt_zero (h0 : x < 0) (h1 : -1 < x) : log x < 0 := by
rw [← neg_neg x, log_neg_eq_log]
have h0' : 0 < -x := by linarith
have h1' : -x < 1 := by linarith
exact log_neg h0' h1'
theorem log_nonneg_iff (hx : 0 < x) : 0 ≤ log x ↔ 1 ≤ x := by rw [← not_lt, log_neg_iff hx, not_lt]
#align real.log_nonneg_iff Real.log_nonneg_iff
theorem log_nonneg (hx : 1 ≤ x) : 0 ≤ log x :=
(log_nonneg_iff (zero_lt_one.trans_le hx)).2 hx
#align real.log_nonneg Real.log_nonneg
theorem log_nonpos_iff (hx : 0 < x) : log x ≤ 0 ↔ x ≤ 1 := by rw [← not_lt, log_pos_iff hx, not_lt]
#align real.log_nonpos_iff Real.log_nonpos_iff
theorem log_nonpos_iff' (hx : 0 ≤ x) : log x ≤ 0 ↔ x ≤ 1 := by
rcases hx.eq_or_lt with (rfl | hx)
· simp [le_refl, zero_le_one]
exact log_nonpos_iff hx
#align real.log_nonpos_iff' Real.log_nonpos_iff'
theorem log_nonpos (hx : 0 ≤ x) (h'x : x ≤ 1) : log x ≤ 0 :=
(log_nonpos_iff' hx).2 h'x
#align real.log_nonpos Real.log_nonpos
| Mathlib/Analysis/SpecialFunctions/Log/Basic.lean | 220 | 225 | theorem log_natCast_nonneg (n : ℕ) : 0 ≤ log n := by |
if hn : n = 0 then
simp [hn]
else
have : (1 : ℝ) ≤ n := mod_cast Nat.one_le_of_lt <| Nat.pos_of_ne_zero hn
exact log_nonneg this
|
import Mathlib.LinearAlgebra.Eigenspace.Basic
import Mathlib.FieldTheory.Minpoly.Field
#align_import linear_algebra.eigenspace.minpoly from "leanprover-community/mathlib"@"c3216069e5f9369e6be586ccbfcde2592b3cec92"
universe u v w
namespace Module
namespace End
open Polynomial FiniteDimensional
open scoped Polynomial
variable {K : Type v} {V : Type w} [Field K] [AddCommGroup V] [Module K V]
theorem eigenspace_aeval_polynomial_degree_1 (f : End K V) (q : K[X]) (hq : degree q = 1) :
eigenspace f (-q.coeff 0 / q.leadingCoeff) = LinearMap.ker (aeval f q) :=
calc
eigenspace f (-q.coeff 0 / q.leadingCoeff)
_ = LinearMap.ker (q.leadingCoeff • f - algebraMap K (End K V) (-q.coeff 0)) := by
rw [eigenspace_div]
intro h
rw [leadingCoeff_eq_zero_iff_deg_eq_bot.1 h] at hq
cases hq
_ = LinearMap.ker (aeval f (C q.leadingCoeff * X + C (q.coeff 0))) := by
rw [C_mul', aeval_def]; simp [algebraMap, Algebra.toRingHom]
_ = LinearMap.ker (aeval f q) := by rwa [← eq_X_add_C_of_degree_eq_one]
#align module.End.eigenspace_aeval_polynomial_degree_1 Module.End.eigenspace_aeval_polynomial_degree_1
theorem ker_aeval_ring_hom'_unit_polynomial (f : End K V) (c : K[X]ˣ) :
LinearMap.ker (aeval f (c : K[X])) = ⊥ := by
rw [Polynomial.eq_C_of_degree_eq_zero (degree_coe_units c)]
simp only [aeval_def, eval₂_C]
apply ker_algebraMap_end
apply coeff_coe_units_zero_ne_zero c
#align module.End.ker_aeval_ring_hom'_unit_polynomial Module.End.ker_aeval_ring_hom'_unit_polynomial
theorem aeval_apply_of_hasEigenvector {f : End K V} {p : K[X]} {μ : K} {x : V}
(h : f.HasEigenvector μ x) : aeval f p x = p.eval μ • x := by
refine p.induction_on ?_ ?_ ?_
· intro a; simp [Module.algebraMap_end_apply]
· intro p q hp hq; simp [hp, hq, add_smul]
· intro n a hna
rw [mul_comm, pow_succ', mul_assoc, AlgHom.map_mul, LinearMap.mul_apply, mul_comm, hna]
simp only [mem_eigenspace_iff.1 h.1, smul_smul, aeval_X, eval_mul, eval_C, eval_pow, eval_X,
LinearMap.map_smulₛₗ, RingHom.id_apply, mul_comm]
#align module.End.aeval_apply_of_has_eigenvector Module.End.aeval_apply_of_hasEigenvector
| Mathlib/LinearAlgebra/Eigenspace/Minpoly.lean | 65 | 69 | theorem isRoot_of_hasEigenvalue {f : End K V} {μ : K} (h : f.HasEigenvalue μ) :
(minpoly K f).IsRoot μ := by |
rcases (Submodule.ne_bot_iff _).1 h with ⟨w, ⟨H, ne0⟩⟩
refine Or.resolve_right (smul_eq_zero.1 ?_) ne0
simp [← aeval_apply_of_hasEigenvector ⟨H, ne0⟩, minpoly.aeval K f]
|
import Mathlib.Analysis.InnerProductSpace.PiL2
import Mathlib.Analysis.SpecialFunctions.Sqrt
import Mathlib.Analysis.NormedSpace.HomeomorphBall
#align_import analysis.inner_product_space.calculus from "leanprover-community/mathlib"@"f9dd3204df14a0749cd456fac1e6849dfe7d2b88"
noncomputable section
open RCLike Real Filter
open scoped Classical Topology
section DerivInner
variable {𝕜 E F : Type*} [RCLike 𝕜]
variable [NormedAddCommGroup E] [InnerProductSpace 𝕜 E]
variable [NormedAddCommGroup F] [InnerProductSpace ℝ F]
local notation "⟪" x ", " y "⟫" => @inner 𝕜 _ _ x y
variable (𝕜) [NormedSpace ℝ E]
def fderivInnerCLM (p : E × E) : E × E →L[ℝ] 𝕜 :=
isBoundedBilinearMap_inner.deriv p
#align fderiv_inner_clm fderivInnerCLM
@[simp]
theorem fderivInnerCLM_apply (p x : E × E) : fderivInnerCLM 𝕜 p x = ⟪p.1, x.2⟫ + ⟪x.1, p.2⟫ :=
rfl
#align fderiv_inner_clm_apply fderivInnerCLM_apply
variable {𝕜} -- Porting note: Lean 3 magically switches back to `{𝕜}` here
theorem contDiff_inner {n} : ContDiff ℝ n fun p : E × E => ⟪p.1, p.2⟫ :=
isBoundedBilinearMap_inner.contDiff
#align cont_diff_inner contDiff_inner
theorem contDiffAt_inner {p : E × E} {n} : ContDiffAt ℝ n (fun p : E × E => ⟪p.1, p.2⟫) p :=
ContDiff.contDiffAt contDiff_inner
#align cont_diff_at_inner contDiffAt_inner
theorem differentiable_inner : Differentiable ℝ fun p : E × E => ⟪p.1, p.2⟫ :=
isBoundedBilinearMap_inner.differentiableAt
#align differentiable_inner differentiable_inner
variable (𝕜)
variable {G : Type*} [NormedAddCommGroup G] [NormedSpace ℝ G] {f g : G → E} {f' g' : G →L[ℝ] E}
{s : Set G} {x : G} {n : ℕ∞}
theorem ContDiffWithinAt.inner (hf : ContDiffWithinAt ℝ n f s x) (hg : ContDiffWithinAt ℝ n g s x) :
ContDiffWithinAt ℝ n (fun x => ⟪f x, g x⟫) s x :=
contDiffAt_inner.comp_contDiffWithinAt x (hf.prod hg)
#align cont_diff_within_at.inner ContDiffWithinAt.inner
nonrec theorem ContDiffAt.inner (hf : ContDiffAt ℝ n f x) (hg : ContDiffAt ℝ n g x) :
ContDiffAt ℝ n (fun x => ⟪f x, g x⟫) x :=
hf.inner 𝕜 hg
#align cont_diff_at.inner ContDiffAt.inner
theorem ContDiffOn.inner (hf : ContDiffOn ℝ n f s) (hg : ContDiffOn ℝ n g s) :
ContDiffOn ℝ n (fun x => ⟪f x, g x⟫) s := fun x hx => (hf x hx).inner 𝕜 (hg x hx)
#align cont_diff_on.inner ContDiffOn.inner
theorem ContDiff.inner (hf : ContDiff ℝ n f) (hg : ContDiff ℝ n g) :
ContDiff ℝ n fun x => ⟪f x, g x⟫ :=
contDiff_inner.comp (hf.prod hg)
#align cont_diff.inner ContDiff.inner
theorem HasFDerivWithinAt.inner (hf : HasFDerivWithinAt f f' s x)
(hg : HasFDerivWithinAt g g' s x) :
HasFDerivWithinAt (fun t => ⟪f t, g t⟫) ((fderivInnerCLM 𝕜 (f x, g x)).comp <| f'.prod g') s
x :=
(isBoundedBilinearMap_inner.hasFDerivAt (f x, g x)).comp_hasFDerivWithinAt x (hf.prod hg)
#align has_fderiv_within_at.inner HasFDerivWithinAt.inner
theorem HasStrictFDerivAt.inner (hf : HasStrictFDerivAt f f' x) (hg : HasStrictFDerivAt g g' x) :
HasStrictFDerivAt (fun t => ⟪f t, g t⟫) ((fderivInnerCLM 𝕜 (f x, g x)).comp <| f'.prod g') x :=
(isBoundedBilinearMap_inner.hasStrictFDerivAt (f x, g x)).comp x (hf.prod hg)
#align has_strict_fderiv_at.inner HasStrictFDerivAt.inner
theorem HasFDerivAt.inner (hf : HasFDerivAt f f' x) (hg : HasFDerivAt g g' x) :
HasFDerivAt (fun t => ⟪f t, g t⟫) ((fderivInnerCLM 𝕜 (f x, g x)).comp <| f'.prod g') x :=
(isBoundedBilinearMap_inner.hasFDerivAt (f x, g x)).comp x (hf.prod hg)
#align has_fderiv_at.inner HasFDerivAt.inner
theorem HasDerivWithinAt.inner {f g : ℝ → E} {f' g' : E} {s : Set ℝ} {x : ℝ}
(hf : HasDerivWithinAt f f' s x) (hg : HasDerivWithinAt g g' s x) :
HasDerivWithinAt (fun t => ⟪f t, g t⟫) (⟪f x, g'⟫ + ⟪f', g x⟫) s x := by
simpa using (hf.hasFDerivWithinAt.inner 𝕜 hg.hasFDerivWithinAt).hasDerivWithinAt
#align has_deriv_within_at.inner HasDerivWithinAt.inner
theorem HasDerivAt.inner {f g : ℝ → E} {f' g' : E} {x : ℝ} :
HasDerivAt f f' x → HasDerivAt g g' x →
HasDerivAt (fun t => ⟪f t, g t⟫) (⟪f x, g'⟫ + ⟪f', g x⟫) x := by
simpa only [← hasDerivWithinAt_univ] using HasDerivWithinAt.inner 𝕜
#align has_deriv_at.inner HasDerivAt.inner
theorem DifferentiableWithinAt.inner (hf : DifferentiableWithinAt ℝ f s x)
(hg : DifferentiableWithinAt ℝ g s x) : DifferentiableWithinAt ℝ (fun x => ⟪f x, g x⟫) s x :=
((differentiable_inner _).hasFDerivAt.comp_hasFDerivWithinAt x
(hf.prod hg).hasFDerivWithinAt).differentiableWithinAt
#align differentiable_within_at.inner DifferentiableWithinAt.inner
theorem DifferentiableAt.inner (hf : DifferentiableAt ℝ f x) (hg : DifferentiableAt ℝ g x) :
DifferentiableAt ℝ (fun x => ⟪f x, g x⟫) x :=
(differentiable_inner _).comp x (hf.prod hg)
#align differentiable_at.inner DifferentiableAt.inner
theorem DifferentiableOn.inner (hf : DifferentiableOn ℝ f s) (hg : DifferentiableOn ℝ g s) :
DifferentiableOn ℝ (fun x => ⟪f x, g x⟫) s := fun x hx => (hf x hx).inner 𝕜 (hg x hx)
#align differentiable_on.inner DifferentiableOn.inner
theorem Differentiable.inner (hf : Differentiable ℝ f) (hg : Differentiable ℝ g) :
Differentiable ℝ fun x => ⟪f x, g x⟫ := fun x => (hf x).inner 𝕜 (hg x)
#align differentiable.inner Differentiable.inner
theorem fderiv_inner_apply (hf : DifferentiableAt ℝ f x) (hg : DifferentiableAt ℝ g x) (y : G) :
fderiv ℝ (fun t => ⟪f t, g t⟫) x y = ⟪f x, fderiv ℝ g x y⟫ + ⟪fderiv ℝ f x y, g x⟫ := by
rw [(hf.hasFDerivAt.inner 𝕜 hg.hasFDerivAt).fderiv]; rfl
#align fderiv_inner_apply fderiv_inner_apply
theorem deriv_inner_apply {f g : ℝ → E} {x : ℝ} (hf : DifferentiableAt ℝ f x)
(hg : DifferentiableAt ℝ g x) :
deriv (fun t => ⟪f t, g t⟫) x = ⟪f x, deriv g x⟫ + ⟪deriv f x, g x⟫ :=
(hf.hasDerivAt.inner 𝕜 hg.hasDerivAt).deriv
#align deriv_inner_apply deriv_inner_apply
theorem contDiff_norm_sq : ContDiff ℝ n fun x : E => ‖x‖ ^ 2 := by
convert (reCLM : 𝕜 →L[ℝ] ℝ).contDiff.comp ((contDiff_id (E := E)).inner 𝕜 (contDiff_id (E := E)))
exact (inner_self_eq_norm_sq _).symm
#align cont_diff_norm_sq contDiff_norm_sq
theorem ContDiff.norm_sq (hf : ContDiff ℝ n f) : ContDiff ℝ n fun x => ‖f x‖ ^ 2 :=
(contDiff_norm_sq 𝕜).comp hf
#align cont_diff.norm_sq ContDiff.norm_sq
theorem ContDiffWithinAt.norm_sq (hf : ContDiffWithinAt ℝ n f s x) :
ContDiffWithinAt ℝ n (fun y => ‖f y‖ ^ 2) s x :=
(contDiff_norm_sq 𝕜).contDiffAt.comp_contDiffWithinAt x hf
#align cont_diff_within_at.norm_sq ContDiffWithinAt.norm_sq
nonrec theorem ContDiffAt.norm_sq (hf : ContDiffAt ℝ n f x) : ContDiffAt ℝ n (‖f ·‖ ^ 2) x :=
hf.norm_sq 𝕜
#align cont_diff_at.norm_sq ContDiffAt.norm_sq
theorem contDiffAt_norm {x : E} (hx : x ≠ 0) : ContDiffAt ℝ n norm x := by
have : ‖id x‖ ^ 2 ≠ 0 := pow_ne_zero 2 (norm_pos_iff.2 hx).ne'
simpa only [id, sqrt_sq, norm_nonneg] using (contDiffAt_id.norm_sq 𝕜).sqrt this
#align cont_diff_at_norm contDiffAt_norm
theorem ContDiffAt.norm (hf : ContDiffAt ℝ n f x) (h0 : f x ≠ 0) :
ContDiffAt ℝ n (fun y => ‖f y‖) x :=
(contDiffAt_norm 𝕜 h0).comp x hf
#align cont_diff_at.norm ContDiffAt.norm
theorem ContDiffAt.dist (hf : ContDiffAt ℝ n f x) (hg : ContDiffAt ℝ n g x) (hne : f x ≠ g x) :
ContDiffAt ℝ n (fun y => dist (f y) (g y)) x := by
simp only [dist_eq_norm]
exact (hf.sub hg).norm 𝕜 (sub_ne_zero.2 hne)
#align cont_diff_at.dist ContDiffAt.dist
theorem ContDiffWithinAt.norm (hf : ContDiffWithinAt ℝ n f s x) (h0 : f x ≠ 0) :
ContDiffWithinAt ℝ n (fun y => ‖f y‖) s x :=
(contDiffAt_norm 𝕜 h0).comp_contDiffWithinAt x hf
#align cont_diff_within_at.norm ContDiffWithinAt.norm
theorem ContDiffWithinAt.dist (hf : ContDiffWithinAt ℝ n f s x) (hg : ContDiffWithinAt ℝ n g s x)
(hne : f x ≠ g x) : ContDiffWithinAt ℝ n (fun y => dist (f y) (g y)) s x := by
simp only [dist_eq_norm]; exact (hf.sub hg).norm 𝕜 (sub_ne_zero.2 hne)
#align cont_diff_within_at.dist ContDiffWithinAt.dist
theorem ContDiffOn.norm_sq (hf : ContDiffOn ℝ n f s) : ContDiffOn ℝ n (fun y => ‖f y‖ ^ 2) s :=
fun x hx => (hf x hx).norm_sq 𝕜
#align cont_diff_on.norm_sq ContDiffOn.norm_sq
theorem ContDiffOn.norm (hf : ContDiffOn ℝ n f s) (h0 : ∀ x ∈ s, f x ≠ 0) :
ContDiffOn ℝ n (fun y => ‖f y‖) s := fun x hx => (hf x hx).norm 𝕜 (h0 x hx)
#align cont_diff_on.norm ContDiffOn.norm
theorem ContDiffOn.dist (hf : ContDiffOn ℝ n f s) (hg : ContDiffOn ℝ n g s)
(hne : ∀ x ∈ s, f x ≠ g x) : ContDiffOn ℝ n (fun y => dist (f y) (g y)) s := fun x hx =>
(hf x hx).dist 𝕜 (hg x hx) (hne x hx)
#align cont_diff_on.dist ContDiffOn.dist
theorem ContDiff.norm (hf : ContDiff ℝ n f) (h0 : ∀ x, f x ≠ 0) : ContDiff ℝ n fun y => ‖f y‖ :=
contDiff_iff_contDiffAt.2 fun x => hf.contDiffAt.norm 𝕜 (h0 x)
#align cont_diff.norm ContDiff.norm
theorem ContDiff.dist (hf : ContDiff ℝ n f) (hg : ContDiff ℝ n g) (hne : ∀ x, f x ≠ g x) :
ContDiff ℝ n fun y => dist (f y) (g y) :=
contDiff_iff_contDiffAt.2 fun x => hf.contDiffAt.dist 𝕜 hg.contDiffAt (hne x)
#align cont_diff.dist ContDiff.dist
-- Porting note: use `2 •` instead of `bit0`
theorem hasStrictFDerivAt_norm_sq (x : F) :
HasStrictFDerivAt (fun x => ‖x‖ ^ 2) (2 • (innerSL ℝ x)) x := by
simp only [sq, ← @inner_self_eq_norm_mul_norm ℝ]
convert (hasStrictFDerivAt_id x).inner ℝ (hasStrictFDerivAt_id x)
ext y
simp [two_smul, real_inner_comm]
#align has_strict_fderiv_at_norm_sq hasStrictFDerivAt_norm_sqₓ
theorem HasFDerivAt.norm_sq {f : G → F} {f' : G →L[ℝ] F} (hf : HasFDerivAt f f' x) :
HasFDerivAt (‖f ·‖ ^ 2) (2 • (innerSL ℝ (f x)).comp f') x :=
(hasStrictFDerivAt_norm_sq _).hasFDerivAt.comp x hf
theorem HasDerivAt.norm_sq {f : ℝ → F} {f' : F} {x : ℝ} (hf : HasDerivAt f f' x) :
HasDerivAt (‖f ·‖ ^ 2) (2 * Inner.inner (f x) f') x := by
simpa using hf.hasFDerivAt.norm_sq.hasDerivAt
theorem HasFDerivWithinAt.norm_sq {f : G → F} {f' : G →L[ℝ] F} (hf : HasFDerivWithinAt f f' s x) :
HasFDerivWithinAt (‖f ·‖ ^ 2) (2 • (innerSL ℝ (f x)).comp f') s x :=
(hasStrictFDerivAt_norm_sq _).hasFDerivAt.comp_hasFDerivWithinAt x hf
theorem HasDerivWithinAt.norm_sq {f : ℝ → F} {f' : F} {s : Set ℝ} {x : ℝ}
(hf : HasDerivWithinAt f f' s x) :
HasDerivWithinAt (‖f ·‖ ^ 2) (2 * Inner.inner (f x) f') s x := by
simpa using hf.hasFDerivWithinAt.norm_sq.hasDerivWithinAt
theorem DifferentiableAt.norm_sq (hf : DifferentiableAt ℝ f x) :
DifferentiableAt ℝ (fun y => ‖f y‖ ^ 2) x :=
((contDiffAt_id.norm_sq 𝕜).differentiableAt le_rfl).comp x hf
#align differentiable_at.norm_sq DifferentiableAt.norm_sq
theorem DifferentiableAt.norm (hf : DifferentiableAt ℝ f x) (h0 : f x ≠ 0) :
DifferentiableAt ℝ (fun y => ‖f y‖) x :=
((contDiffAt_norm 𝕜 h0).differentiableAt le_rfl).comp x hf
#align differentiable_at.norm DifferentiableAt.norm
theorem DifferentiableAt.dist (hf : DifferentiableAt ℝ f x) (hg : DifferentiableAt ℝ g x)
(hne : f x ≠ g x) : DifferentiableAt ℝ (fun y => dist (f y) (g y)) x := by
simp only [dist_eq_norm]; exact (hf.sub hg).norm 𝕜 (sub_ne_zero.2 hne)
#align differentiable_at.dist DifferentiableAt.dist
theorem Differentiable.norm_sq (hf : Differentiable ℝ f) : Differentiable ℝ fun y => ‖f y‖ ^ 2 :=
fun x => (hf x).norm_sq 𝕜
#align differentiable.norm_sq Differentiable.norm_sq
theorem Differentiable.norm (hf : Differentiable ℝ f) (h0 : ∀ x, f x ≠ 0) :
Differentiable ℝ fun y => ‖f y‖ := fun x => (hf x).norm 𝕜 (h0 x)
#align differentiable.norm Differentiable.norm
theorem Differentiable.dist (hf : Differentiable ℝ f) (hg : Differentiable ℝ g)
(hne : ∀ x, f x ≠ g x) : Differentiable ℝ fun y => dist (f y) (g y) := fun x =>
(hf x).dist 𝕜 (hg x) (hne x)
#align differentiable.dist Differentiable.dist
theorem DifferentiableWithinAt.norm_sq (hf : DifferentiableWithinAt ℝ f s x) :
DifferentiableWithinAt ℝ (fun y => ‖f y‖ ^ 2) s x :=
((contDiffAt_id.norm_sq 𝕜).differentiableAt le_rfl).comp_differentiableWithinAt x hf
#align differentiable_within_at.norm_sq DifferentiableWithinAt.norm_sq
theorem DifferentiableWithinAt.norm (hf : DifferentiableWithinAt ℝ f s x) (h0 : f x ≠ 0) :
DifferentiableWithinAt ℝ (fun y => ‖f y‖) s x :=
((contDiffAt_id.norm 𝕜 h0).differentiableAt le_rfl).comp_differentiableWithinAt x hf
#align differentiable_within_at.norm DifferentiableWithinAt.norm
| Mathlib/Analysis/InnerProductSpace/Calculus.lean | 281 | 285 | theorem DifferentiableWithinAt.dist (hf : DifferentiableWithinAt ℝ f s x)
(hg : DifferentiableWithinAt ℝ g s x) (hne : f x ≠ g x) :
DifferentiableWithinAt ℝ (fun y => dist (f y) (g y)) s x := by |
simp only [dist_eq_norm]
exact (hf.sub hg).norm 𝕜 (sub_ne_zero.2 hne)
|
import Mathlib.CategoryTheory.NatIso
#align_import category_theory.bicategory.basic from "leanprover-community/mathlib"@"4c19a16e4b705bf135cf9a80ac18fcc99c438514"
namespace CategoryTheory
universe w v u
open Category Iso
-- intended to be used with explicit universe parameters
@[nolint checkUnivs]
class Bicategory (B : Type u) extends CategoryStruct.{v} B where
-- category structure on the collection of 1-morphisms:
homCategory : ∀ a b : B, Category.{w} (a ⟶ b) := by infer_instance
-- left whiskering:
whiskerLeft {a b c : B} (f : a ⟶ b) {g h : b ⟶ c} (η : g ⟶ h) : f ≫ g ⟶ f ≫ h
-- right whiskering:
whiskerRight {a b c : B} {f g : a ⟶ b} (η : f ⟶ g) (h : b ⟶ c) : f ≫ h ⟶ g ≫ h
-- associator:
associator {a b c d : B} (f : a ⟶ b) (g : b ⟶ c) (h : c ⟶ d) : (f ≫ g) ≫ h ≅ f ≫ g ≫ h
-- left unitor:
leftUnitor {a b : B} (f : a ⟶ b) : 𝟙 a ≫ f ≅ f
-- right unitor:
rightUnitor {a b : B} (f : a ⟶ b) : f ≫ 𝟙 b ≅ f
-- axioms for left whiskering:
whiskerLeft_id : ∀ {a b c} (f : a ⟶ b) (g : b ⟶ c), whiskerLeft f (𝟙 g) = 𝟙 (f ≫ g) := by
aesop_cat
whiskerLeft_comp :
∀ {a b c} (f : a ⟶ b) {g h i : b ⟶ c} (η : g ⟶ h) (θ : h ⟶ i),
whiskerLeft f (η ≫ θ) = whiskerLeft f η ≫ whiskerLeft f θ := by
aesop_cat
id_whiskerLeft :
∀ {a b} {f g : a ⟶ b} (η : f ⟶ g),
whiskerLeft (𝟙 a) η = (leftUnitor f).hom ≫ η ≫ (leftUnitor g).inv := by
aesop_cat
comp_whiskerLeft :
∀ {a b c d} (f : a ⟶ b) (g : b ⟶ c) {h h' : c ⟶ d} (η : h ⟶ h'),
whiskerLeft (f ≫ g) η =
(associator f g h).hom ≫ whiskerLeft f (whiskerLeft g η) ≫ (associator f g h').inv := by
aesop_cat
-- axioms for right whiskering:
id_whiskerRight : ∀ {a b c} (f : a ⟶ b) (g : b ⟶ c), whiskerRight (𝟙 f) g = 𝟙 (f ≫ g) := by
aesop_cat
comp_whiskerRight :
∀ {a b c} {f g h : a ⟶ b} (η : f ⟶ g) (θ : g ⟶ h) (i : b ⟶ c),
whiskerRight (η ≫ θ) i = whiskerRight η i ≫ whiskerRight θ i := by
aesop_cat
whiskerRight_id :
∀ {a b} {f g : a ⟶ b} (η : f ⟶ g),
whiskerRight η (𝟙 b) = (rightUnitor f).hom ≫ η ≫ (rightUnitor g).inv := by
aesop_cat
whiskerRight_comp :
∀ {a b c d} {f f' : a ⟶ b} (η : f ⟶ f') (g : b ⟶ c) (h : c ⟶ d),
whiskerRight η (g ≫ h) =
(associator f g h).inv ≫ whiskerRight (whiskerRight η g) h ≫ (associator f' g h).hom := by
aesop_cat
-- associativity of whiskerings:
whisker_assoc :
∀ {a b c d} (f : a ⟶ b) {g g' : b ⟶ c} (η : g ⟶ g') (h : c ⟶ d),
whiskerRight (whiskerLeft f η) h =
(associator f g h).hom ≫ whiskerLeft f (whiskerRight η h) ≫ (associator f g' h).inv := by
aesop_cat
-- exchange law of left and right whiskerings:
whisker_exchange :
∀ {a b c} {f g : a ⟶ b} {h i : b ⟶ c} (η : f ⟶ g) (θ : h ⟶ i),
whiskerLeft f θ ≫ whiskerRight η i = whiskerRight η h ≫ whiskerLeft g θ := by
aesop_cat
-- pentagon identity:
pentagon :
∀ {a b c d e} (f : a ⟶ b) (g : b ⟶ c) (h : c ⟶ d) (i : d ⟶ e),
whiskerRight (associator f g h).hom i ≫
(associator f (g ≫ h) i).hom ≫ whiskerLeft f (associator g h i).hom =
(associator (f ≫ g) h i).hom ≫ (associator f g (h ≫ i)).hom := by
aesop_cat
-- triangle identity:
triangle :
∀ {a b c} (f : a ⟶ b) (g : b ⟶ c),
(associator f (𝟙 b) g).hom ≫ whiskerLeft f (leftUnitor g).hom
= whiskerRight (rightUnitor f).hom g := by
aesop_cat
#align category_theory.bicategory CategoryTheory.Bicategory
#align category_theory.bicategory.hom_category CategoryTheory.Bicategory.homCategory
#align category_theory.bicategory.whisker_left CategoryTheory.Bicategory.whiskerLeft
#align category_theory.bicategory.whisker_right CategoryTheory.Bicategory.whiskerRight
#align category_theory.bicategory.left_unitor CategoryTheory.Bicategory.leftUnitor
#align category_theory.bicategory.right_unitor CategoryTheory.Bicategory.rightUnitor
#align category_theory.bicategory.whisker_left_id' CategoryTheory.Bicategory.whiskerLeft_id
#align category_theory.bicategory.whisker_left_comp' CategoryTheory.Bicategory.whiskerLeft_comp
#align category_theory.bicategory.id_whisker_left' CategoryTheory.Bicategory.id_whiskerLeft
#align category_theory.bicategory.comp_whisker_left' CategoryTheory.Bicategory.comp_whiskerLeft
#align category_theory.bicategory.id_whisker_right' CategoryTheory.Bicategory.id_whiskerRight
#align category_theory.bicategory.comp_whisker_right' CategoryTheory.Bicategory.comp_whiskerRight
#align category_theory.bicategory.whisker_right_id' CategoryTheory.Bicategory.whiskerRight_id
#align category_theory.bicategory.whisker_right_comp' CategoryTheory.Bicategory.whiskerRight_comp
#align category_theory.bicategory.whisker_assoc' CategoryTheory.Bicategory.whisker_assoc
#align category_theory.bicategory.whisker_exchange' CategoryTheory.Bicategory.whisker_exchange
#align category_theory.bicategory.pentagon' CategoryTheory.Bicategory.pentagon
#align category_theory.bicategory.triangle' CategoryTheory.Bicategory.triangle
namespace Bicategory
scoped infixr:81 " ◁ " => Bicategory.whiskerLeft
scoped infixl:81 " ▷ " => Bicategory.whiskerRight
scoped notation "α_" => Bicategory.associator
scoped notation "λ_" => Bicategory.leftUnitor
scoped notation "ρ_" => Bicategory.rightUnitor
attribute [instance] homCategory
attribute [reassoc]
whiskerLeft_comp id_whiskerLeft comp_whiskerLeft comp_whiskerRight whiskerRight_id
whiskerRight_comp whisker_assoc whisker_exchange
attribute [reassoc (attr := simp)] pentagon triangle
attribute [simp]
whiskerLeft_id whiskerLeft_comp id_whiskerLeft comp_whiskerLeft id_whiskerRight comp_whiskerRight
whiskerRight_id whiskerRight_comp whisker_assoc
variable {B : Type u} [Bicategory.{w, v} B] {a b c d e : B}
@[reassoc (attr := simp)]
theorem whiskerLeft_hom_inv (f : a ⟶ b) {g h : b ⟶ c} (η : g ≅ h) :
f ◁ η.hom ≫ f ◁ η.inv = 𝟙 (f ≫ g) := by rw [← whiskerLeft_comp, hom_inv_id, whiskerLeft_id]
#align category_theory.bicategory.hom_inv_whisker_left CategoryTheory.Bicategory.whiskerLeft_hom_inv
@[reassoc (attr := simp)]
theorem hom_inv_whiskerRight {f g : a ⟶ b} (η : f ≅ g) (h : b ⟶ c) :
η.hom ▷ h ≫ η.inv ▷ h = 𝟙 (f ≫ h) := by rw [← comp_whiskerRight, hom_inv_id, id_whiskerRight]
#align category_theory.bicategory.hom_inv_whisker_right CategoryTheory.Bicategory.hom_inv_whiskerRight
@[reassoc (attr := simp)]
theorem whiskerLeft_inv_hom (f : a ⟶ b) {g h : b ⟶ c} (η : g ≅ h) :
f ◁ η.inv ≫ f ◁ η.hom = 𝟙 (f ≫ h) := by rw [← whiskerLeft_comp, inv_hom_id, whiskerLeft_id]
#align category_theory.bicategory.inv_hom_whisker_left CategoryTheory.Bicategory.whiskerLeft_inv_hom
@[reassoc (attr := simp)]
theorem inv_hom_whiskerRight {f g : a ⟶ b} (η : f ≅ g) (h : b ⟶ c) :
η.inv ▷ h ≫ η.hom ▷ h = 𝟙 (g ≫ h) := by rw [← comp_whiskerRight, inv_hom_id, id_whiskerRight]
#align category_theory.bicategory.inv_hom_whisker_right CategoryTheory.Bicategory.inv_hom_whiskerRight
@[simps]
def whiskerLeftIso (f : a ⟶ b) {g h : b ⟶ c} (η : g ≅ h) : f ≫ g ≅ f ≫ h where
hom := f ◁ η.hom
inv := f ◁ η.inv
#align category_theory.bicategory.whisker_left_iso CategoryTheory.Bicategory.whiskerLeftIso
instance whiskerLeft_isIso (f : a ⟶ b) {g h : b ⟶ c} (η : g ⟶ h) [IsIso η] : IsIso (f ◁ η) :=
(whiskerLeftIso f (asIso η)).isIso_hom
#align category_theory.bicategory.whisker_left_is_iso CategoryTheory.Bicategory.whiskerLeft_isIso
@[simp]
theorem inv_whiskerLeft (f : a ⟶ b) {g h : b ⟶ c} (η : g ⟶ h) [IsIso η] :
inv (f ◁ η) = f ◁ inv η := by
apply IsIso.inv_eq_of_hom_inv_id
simp only [← whiskerLeft_comp, whiskerLeft_id, IsIso.hom_inv_id]
#align category_theory.bicategory.inv_whisker_left CategoryTheory.Bicategory.inv_whiskerLeft
@[simps!]
def whiskerRightIso {f g : a ⟶ b} (η : f ≅ g) (h : b ⟶ c) : f ≫ h ≅ g ≫ h where
hom := η.hom ▷ h
inv := η.inv ▷ h
#align category_theory.bicategory.whisker_right_iso CategoryTheory.Bicategory.whiskerRightIso
instance whiskerRight_isIso {f g : a ⟶ b} (η : f ⟶ g) (h : b ⟶ c) [IsIso η] : IsIso (η ▷ h) :=
(whiskerRightIso (asIso η) h).isIso_hom
#align category_theory.bicategory.whisker_right_is_iso CategoryTheory.Bicategory.whiskerRight_isIso
@[simp]
theorem inv_whiskerRight {f g : a ⟶ b} (η : f ⟶ g) (h : b ⟶ c) [IsIso η] :
inv (η ▷ h) = inv η ▷ h := by
apply IsIso.inv_eq_of_hom_inv_id
simp only [← comp_whiskerRight, id_whiskerRight, IsIso.hom_inv_id]
#align category_theory.bicategory.inv_whisker_right CategoryTheory.Bicategory.inv_whiskerRight
@[reassoc (attr := simp)]
theorem pentagon_inv (f : a ⟶ b) (g : b ⟶ c) (h : c ⟶ d) (i : d ⟶ e) :
f ◁ (α_ g h i).inv ≫ (α_ f (g ≫ h) i).inv ≫ (α_ f g h).inv ▷ i =
(α_ f g (h ≫ i)).inv ≫ (α_ (f ≫ g) h i).inv :=
eq_of_inv_eq_inv (by simp)
#align category_theory.bicategory.pentagon_inv CategoryTheory.Bicategory.pentagon_inv
@[reassoc (attr := simp)]
theorem pentagon_inv_inv_hom_hom_inv (f : a ⟶ b) (g : b ⟶ c) (h : c ⟶ d) (i : d ⟶ e) :
(α_ f (g ≫ h) i).inv ≫ (α_ f g h).inv ▷ i ≫ (α_ (f ≫ g) h i).hom =
f ◁ (α_ g h i).hom ≫ (α_ f g (h ≫ i)).inv := by
rw [← cancel_epi (f ◁ (α_ g h i).inv), ← cancel_mono (α_ (f ≫ g) h i).inv]
simp
#align category_theory.bicategory.pentagon_inv_inv_hom_hom_inv CategoryTheory.Bicategory.pentagon_inv_inv_hom_hom_inv
@[reassoc (attr := simp)]
theorem pentagon_inv_hom_hom_hom_inv (f : a ⟶ b) (g : b ⟶ c) (h : c ⟶ d) (i : d ⟶ e) :
(α_ (f ≫ g) h i).inv ≫ (α_ f g h).hom ▷ i ≫ (α_ f (g ≫ h) i).hom =
(α_ f g (h ≫ i)).hom ≫ f ◁ (α_ g h i).inv :=
eq_of_inv_eq_inv (by simp)
#align category_theory.bicategory.pentagon_inv_hom_hom_hom_inv CategoryTheory.Bicategory.pentagon_inv_hom_hom_hom_inv
@[reassoc (attr := simp)]
theorem pentagon_hom_inv_inv_inv_inv (f : a ⟶ b) (g : b ⟶ c) (h : c ⟶ d) (i : d ⟶ e) :
f ◁ (α_ g h i).hom ≫ (α_ f g (h ≫ i)).inv ≫ (α_ (f ≫ g) h i).inv =
(α_ f (g ≫ h) i).inv ≫ (α_ f g h).inv ▷ i := by
simp [← cancel_epi (f ◁ (α_ g h i).inv)]
#align category_theory.bicategory.pentagon_hom_inv_inv_inv_inv CategoryTheory.Bicategory.pentagon_hom_inv_inv_inv_inv
@[reassoc (attr := simp)]
theorem pentagon_hom_hom_inv_hom_hom (f : a ⟶ b) (g : b ⟶ c) (h : c ⟶ d) (i : d ⟶ e) :
(α_ (f ≫ g) h i).hom ≫ (α_ f g (h ≫ i)).hom ≫ f ◁ (α_ g h i).inv =
(α_ f g h).hom ▷ i ≫ (α_ f (g ≫ h) i).hom :=
eq_of_inv_eq_inv (by simp)
#align category_theory.bicategory.pentagon_hom_hom_inv_hom_hom CategoryTheory.Bicategory.pentagon_hom_hom_inv_hom_hom
@[reassoc (attr := simp)]
theorem pentagon_hom_inv_inv_inv_hom (f : a ⟶ b) (g : b ⟶ c) (h : c ⟶ d) (i : d ⟶ e) :
(α_ f g (h ≫ i)).hom ≫ f ◁ (α_ g h i).inv ≫ (α_ f (g ≫ h) i).inv =
(α_ (f ≫ g) h i).inv ≫ (α_ f g h).hom ▷ i := by
rw [← cancel_epi (α_ f g (h ≫ i)).inv, ← cancel_mono ((α_ f g h).inv ▷ i)]
simp
#align category_theory.bicategory.pentagon_hom_inv_inv_inv_hom CategoryTheory.Bicategory.pentagon_hom_inv_inv_inv_hom
@[reassoc (attr := simp)]
theorem pentagon_hom_hom_inv_inv_hom (f : a ⟶ b) (g : b ⟶ c) (h : c ⟶ d) (i : d ⟶ e) :
(α_ f (g ≫ h) i).hom ≫ f ◁ (α_ g h i).hom ≫ (α_ f g (h ≫ i)).inv =
(α_ f g h).inv ▷ i ≫ (α_ (f ≫ g) h i).hom :=
eq_of_inv_eq_inv (by simp)
#align category_theory.bicategory.pentagon_hom_hom_inv_inv_hom CategoryTheory.Bicategory.pentagon_hom_hom_inv_inv_hom
@[reassoc (attr := simp)]
theorem pentagon_inv_hom_hom_hom_hom (f : a ⟶ b) (g : b ⟶ c) (h : c ⟶ d) (i : d ⟶ e) :
(α_ f g h).inv ▷ i ≫ (α_ (f ≫ g) h i).hom ≫ (α_ f g (h ≫ i)).hom =
(α_ f (g ≫ h) i).hom ≫ f ◁ (α_ g h i).hom := by
simp [← cancel_epi ((α_ f g h).hom ▷ i)]
#align category_theory.bicategory.pentagon_inv_hom_hom_hom_hom CategoryTheory.Bicategory.pentagon_inv_hom_hom_hom_hom
@[reassoc (attr := simp)]
theorem pentagon_inv_inv_hom_inv_inv (f : a ⟶ b) (g : b ⟶ c) (h : c ⟶ d) (i : d ⟶ e) :
(α_ f g (h ≫ i)).inv ≫ (α_ (f ≫ g) h i).inv ≫ (α_ f g h).hom ▷ i =
f ◁ (α_ g h i).inv ≫ (α_ f (g ≫ h) i).inv :=
eq_of_inv_eq_inv (by simp)
#align category_theory.bicategory.pentagon_inv_inv_hom_inv_inv CategoryTheory.Bicategory.pentagon_inv_inv_hom_inv_inv
theorem triangle_assoc_comp_left (f : a ⟶ b) (g : b ⟶ c) :
(α_ f (𝟙 b) g).hom ≫ f ◁ (λ_ g).hom = (ρ_ f).hom ▷ g :=
triangle f g
#align category_theory.bicategory.triangle_assoc_comp_left CategoryTheory.Bicategory.triangle_assoc_comp_left
@[reassoc (attr := simp)]
theorem triangle_assoc_comp_right (f : a ⟶ b) (g : b ⟶ c) :
(α_ f (𝟙 b) g).inv ≫ (ρ_ f).hom ▷ g = f ◁ (λ_ g).hom := by rw [← triangle, inv_hom_id_assoc]
#align category_theory.bicategory.triangle_assoc_comp_right CategoryTheory.Bicategory.triangle_assoc_comp_right
@[reassoc (attr := simp)]
theorem triangle_assoc_comp_right_inv (f : a ⟶ b) (g : b ⟶ c) :
(ρ_ f).inv ▷ g ≫ (α_ f (𝟙 b) g).hom = f ◁ (λ_ g).inv := by
simp [← cancel_mono (f ◁ (λ_ g).hom)]
#align category_theory.bicategory.triangle_assoc_comp_right_inv CategoryTheory.Bicategory.triangle_assoc_comp_right_inv
@[reassoc (attr := simp)]
theorem triangle_assoc_comp_left_inv (f : a ⟶ b) (g : b ⟶ c) :
f ◁ (λ_ g).inv ≫ (α_ f (𝟙 b) g).inv = (ρ_ f).inv ▷ g := by
simp [← cancel_mono ((ρ_ f).hom ▷ g)]
#align category_theory.bicategory.triangle_assoc_comp_left_inv CategoryTheory.Bicategory.triangle_assoc_comp_left_inv
@[reassoc]
theorem associator_naturality_left {f f' : a ⟶ b} (η : f ⟶ f') (g : b ⟶ c) (h : c ⟶ d) :
η ▷ g ▷ h ≫ (α_ f' g h).hom = (α_ f g h).hom ≫ η ▷ (g ≫ h) := by simp
#align category_theory.bicategory.associator_naturality_left CategoryTheory.Bicategory.associator_naturality_left
@[reassoc]
theorem associator_inv_naturality_left {f f' : a ⟶ b} (η : f ⟶ f') (g : b ⟶ c) (h : c ⟶ d) :
η ▷ (g ≫ h) ≫ (α_ f' g h).inv = (α_ f g h).inv ≫ η ▷ g ▷ h := by simp
#align category_theory.bicategory.associator_inv_naturality_left CategoryTheory.Bicategory.associator_inv_naturality_left
@[reassoc]
theorem whiskerRight_comp_symm {f f' : a ⟶ b} (η : f ⟶ f') (g : b ⟶ c) (h : c ⟶ d) :
η ▷ g ▷ h = (α_ f g h).hom ≫ η ▷ (g ≫ h) ≫ (α_ f' g h).inv := by simp
#align category_theory.bicategory.whisker_right_comp_symm CategoryTheory.Bicategory.whiskerRight_comp_symm
@[reassoc]
theorem associator_naturality_middle (f : a ⟶ b) {g g' : b ⟶ c} (η : g ⟶ g') (h : c ⟶ d) :
(f ◁ η) ▷ h ≫ (α_ f g' h).hom = (α_ f g h).hom ≫ f ◁ η ▷ h := by simp
#align category_theory.bicategory.associator_naturality_middle CategoryTheory.Bicategory.associator_naturality_middle
@[reassoc]
theorem associator_inv_naturality_middle (f : a ⟶ b) {g g' : b ⟶ c} (η : g ⟶ g') (h : c ⟶ d) :
f ◁ η ▷ h ≫ (α_ f g' h).inv = (α_ f g h).inv ≫ (f ◁ η) ▷ h := by simp
#align category_theory.bicategory.associator_inv_naturality_middle CategoryTheory.Bicategory.associator_inv_naturality_middle
@[reassoc]
theorem whisker_assoc_symm (f : a ⟶ b) {g g' : b ⟶ c} (η : g ⟶ g') (h : c ⟶ d) :
f ◁ η ▷ h = (α_ f g h).inv ≫ (f ◁ η) ▷ h ≫ (α_ f g' h).hom := by simp
#align category_theory.bicategory.whisker_assoc_symm CategoryTheory.Bicategory.whisker_assoc_symm
@[reassoc]
theorem associator_naturality_right (f : a ⟶ b) (g : b ⟶ c) {h h' : c ⟶ d} (η : h ⟶ h') :
(f ≫ g) ◁ η ≫ (α_ f g h').hom = (α_ f g h).hom ≫ f ◁ g ◁ η := by simp
#align category_theory.bicategory.associator_naturality_right CategoryTheory.Bicategory.associator_naturality_right
@[reassoc]
theorem associator_inv_naturality_right (f : a ⟶ b) (g : b ⟶ c) {h h' : c ⟶ d} (η : h ⟶ h') :
f ◁ g ◁ η ≫ (α_ f g h').inv = (α_ f g h).inv ≫ (f ≫ g) ◁ η := by simp
#align category_theory.bicategory.associator_inv_naturality_right CategoryTheory.Bicategory.associator_inv_naturality_right
@[reassoc]
theorem comp_whiskerLeft_symm (f : a ⟶ b) (g : b ⟶ c) {h h' : c ⟶ d} (η : h ⟶ h') :
f ◁ g ◁ η = (α_ f g h).inv ≫ (f ≫ g) ◁ η ≫ (α_ f g h').hom := by simp
#align category_theory.bicategory.comp_whisker_left_symm CategoryTheory.Bicategory.comp_whiskerLeft_symm
@[reassoc]
theorem leftUnitor_naturality {f g : a ⟶ b} (η : f ⟶ g) :
𝟙 a ◁ η ≫ (λ_ g).hom = (λ_ f).hom ≫ η := by
simp
#align category_theory.bicategory.left_unitor_naturality CategoryTheory.Bicategory.leftUnitor_naturality
@[reassoc]
theorem leftUnitor_inv_naturality {f g : a ⟶ b} (η : f ⟶ g) :
η ≫ (λ_ g).inv = (λ_ f).inv ≫ 𝟙 a ◁ η := by simp
#align category_theory.bicategory.left_unitor_inv_naturality CategoryTheory.Bicategory.leftUnitor_inv_naturality
theorem id_whiskerLeft_symm {f g : a ⟶ b} (η : f ⟶ g) : η = (λ_ f).inv ≫ 𝟙 a ◁ η ≫ (λ_ g).hom := by
simp
#align category_theory.bicategory.id_whisker_left_symm CategoryTheory.Bicategory.id_whiskerLeft_symm
@[reassoc]
theorem rightUnitor_naturality {f g : a ⟶ b} (η : f ⟶ g) :
η ▷ 𝟙 b ≫ (ρ_ g).hom = (ρ_ f).hom ≫ η := by simp
#align category_theory.bicategory.right_unitor_naturality CategoryTheory.Bicategory.rightUnitor_naturality
@[reassoc]
theorem rightUnitor_inv_naturality {f g : a ⟶ b} (η : f ⟶ g) :
η ≫ (ρ_ g).inv = (ρ_ f).inv ≫ η ▷ 𝟙 b := by simp
#align category_theory.bicategory.right_unitor_inv_naturality CategoryTheory.Bicategory.rightUnitor_inv_naturality
theorem whiskerRight_id_symm {f g : a ⟶ b} (η : f ⟶ g) : η = (ρ_ f).inv ≫ η ▷ 𝟙 b ≫ (ρ_ g).hom := by
simp
#align category_theory.bicategory.whisker_right_id_symm CategoryTheory.Bicategory.whiskerRight_id_symm
theorem whiskerLeft_iff {f g : a ⟶ b} (η θ : f ⟶ g) : 𝟙 a ◁ η = 𝟙 a ◁ θ ↔ η = θ := by simp
#align category_theory.bicategory.whisker_left_iff CategoryTheory.Bicategory.whiskerLeft_iff
theorem whiskerRight_iff {f g : a ⟶ b} (η θ : f ⟶ g) : η ▷ 𝟙 b = θ ▷ 𝟙 b ↔ η = θ := by simp
#align category_theory.bicategory.whisker_right_iff CategoryTheory.Bicategory.whiskerRight_iff
@[reassoc, simp]
theorem leftUnitor_whiskerRight (f : a ⟶ b) (g : b ⟶ c) :
(λ_ f).hom ▷ g = (α_ (𝟙 a) f g).hom ≫ (λ_ (f ≫ g)).hom := by
rw [← whiskerLeft_iff, whiskerLeft_comp, ← cancel_epi (α_ _ _ _).hom, ←
cancel_epi ((α_ _ _ _).hom ▷ _), pentagon_assoc, triangle, ← associator_naturality_middle, ←
comp_whiskerRight_assoc, triangle, associator_naturality_left]
#align category_theory.bicategory.left_unitor_whisker_right CategoryTheory.Bicategory.leftUnitor_whiskerRight
@[reassoc, simp]
theorem leftUnitor_inv_whiskerRight (f : a ⟶ b) (g : b ⟶ c) :
(λ_ f).inv ▷ g = (λ_ (f ≫ g)).inv ≫ (α_ (𝟙 a) f g).inv :=
eq_of_inv_eq_inv (by simp)
#align category_theory.bicategory.left_unitor_inv_whisker_right CategoryTheory.Bicategory.leftUnitor_inv_whiskerRight
@[reassoc, simp]
| Mathlib/CategoryTheory/Bicategory/Basic.lean | 436 | 441 | theorem whiskerLeft_rightUnitor (f : a ⟶ b) (g : b ⟶ c) :
f ◁ (ρ_ g).hom = (α_ f g (𝟙 c)).inv ≫ (ρ_ (f ≫ g)).hom := by |
rw [← whiskerRight_iff, comp_whiskerRight, ← cancel_epi (α_ _ _ _).inv, ←
cancel_epi (f ◁ (α_ _ _ _).inv), pentagon_inv_assoc, triangle_assoc_comp_right, ←
associator_inv_naturality_middle, ← whiskerLeft_comp_assoc, triangle_assoc_comp_right,
associator_inv_naturality_right]
|
import Mathlib.Algebra.BigOperators.Fin
import Mathlib.Data.Nat.Choose.Sum
import Mathlib.Data.Nat.Factorial.BigOperators
import Mathlib.Data.Fin.VecNotation
import Mathlib.Data.Finset.Sym
import Mathlib.Data.Finsupp.Multiset
#align_import data.nat.choose.multinomial from "leanprover-community/mathlib"@"2738d2ca56cbc63be80c3bd48e9ed90ad94e947d"
open Finset
open scoped Nat
namespace Nat
variable {α : Type*} (s : Finset α) (f : α → ℕ) {a b : α} (n : ℕ)
def multinomial : ℕ :=
(∑ i ∈ s, f i)! / ∏ i ∈ s, (f i)!
#align nat.multinomial Nat.multinomial
theorem multinomial_pos : 0 < multinomial s f :=
Nat.div_pos (le_of_dvd (factorial_pos _) (prod_factorial_dvd_factorial_sum s f))
(prod_factorial_pos s f)
#align nat.multinomial_pos Nat.multinomial_pos
theorem multinomial_spec : (∏ i ∈ s, (f i)!) * multinomial s f = (∑ i ∈ s, f i)! :=
Nat.mul_div_cancel' (prod_factorial_dvd_factorial_sum s f)
#align nat.multinomial_spec Nat.multinomial_spec
@[simp] lemma multinomial_empty : multinomial ∅ f = 1 := by simp [multinomial]
#align nat.multinomial_nil Nat.multinomial_empty
@[deprecated (since := "2024-06-01")] alias multinomial_nil := multinomial_empty
variable {s f}
lemma multinomial_cons (ha : a ∉ s) (f : α → ℕ) :
multinomial (s.cons a ha) f = (f a + ∑ i ∈ s, f i).choose (f a) * multinomial s f := by
rw [multinomial, Nat.div_eq_iff_eq_mul_left _ (prod_factorial_dvd_factorial_sum _ _), prod_cons,
multinomial, mul_assoc, mul_left_comm _ (f a)!,
Nat.div_mul_cancel (prod_factorial_dvd_factorial_sum _ _), ← mul_assoc, Nat.choose_symm_add,
Nat.add_choose_mul_factorial_mul_factorial, Finset.sum_cons]
positivity
lemma multinomial_insert [DecidableEq α] (ha : a ∉ s) (f : α → ℕ) :
multinomial (insert a s) f = (f a + ∑ i ∈ s, f i).choose (f a) * multinomial s f := by
rw [← cons_eq_insert _ _ ha, multinomial_cons]
#align nat.multinomial_insert Nat.multinomial_insert
@[simp] lemma multinomial_singleton (a : α) (f : α → ℕ) : multinomial {a} f = 1 := by
rw [← cons_empty, multinomial_cons]; simp
#align nat.multinomial_singleton Nat.multinomial_singleton
@[simp]
theorem multinomial_insert_one [DecidableEq α] (h : a ∉ s) (h₁ : f a = 1) :
multinomial (insert a s) f = (s.sum f).succ * multinomial s f := by
simp only [multinomial, one_mul, factorial]
rw [Finset.sum_insert h, Finset.prod_insert h, h₁, add_comm, ← succ_eq_add_one, factorial_succ]
simp only [factorial_one, one_mul, Function.comp_apply, factorial, mul_one, ← one_eq_succ_zero]
rw [Nat.mul_div_assoc _ (prod_factorial_dvd_factorial_sum _ _)]
#align nat.multinomial_insert_one Nat.multinomial_insert_one
| Mathlib/Data/Nat/Choose/Multinomial.lean | 88 | 92 | theorem multinomial_congr {f g : α → ℕ} (h : ∀ a ∈ s, f a = g a) :
multinomial s f = multinomial s g := by |
simp only [multinomial]; congr 1
· rw [Finset.sum_congr rfl h]
· exact Finset.prod_congr rfl fun a ha => by rw [h a ha]
|
import Mathlib.AlgebraicTopology.DoldKan.Projections
import Mathlib.CategoryTheory.Idempotents.FunctorCategories
import Mathlib.CategoryTheory.Idempotents.FunctorExtension
#align_import algebraic_topology.dold_kan.p_infty from "leanprover-community/mathlib"@"32a7e535287f9c73f2e4d2aef306a39190f0b504"
open CategoryTheory CategoryTheory.Category CategoryTheory.Preadditive
CategoryTheory.SimplicialObject CategoryTheory.Idempotents Opposite Simplicial DoldKan
namespace AlgebraicTopology
namespace DoldKan
variable {C : Type*} [Category C] [Preadditive C] {X : SimplicialObject C}
theorem P_is_eventually_constant {q n : ℕ} (hqn : n ≤ q) :
((P (q + 1)).f n : X _[n] ⟶ _) = (P q).f n := by
rcases n with (_|n)
· simp only [Nat.zero_eq, P_f_0_eq]
· simp only [P_succ, add_right_eq_self, comp_add, HomologicalComplex.comp_f,
HomologicalComplex.add_f_apply, comp_id]
exact (HigherFacesVanish.of_P q n).comp_Hσ_eq_zero (Nat.succ_le_iff.mp hqn)
set_option linter.uppercaseLean3 false in
#align algebraic_topology.dold_kan.P_is_eventually_constant AlgebraicTopology.DoldKan.P_is_eventually_constant
theorem Q_is_eventually_constant {q n : ℕ} (hqn : n ≤ q) :
((Q (q + 1)).f n : X _[n] ⟶ _) = (Q q).f n := by
simp only [Q, HomologicalComplex.sub_f_apply, P_is_eventually_constant hqn]
set_option linter.uppercaseLean3 false in
#align algebraic_topology.dold_kan.Q_is_eventually_constant AlgebraicTopology.DoldKan.Q_is_eventually_constant
noncomputable def PInfty : K[X] ⟶ K[X] :=
ChainComplex.ofHom _ _ _ _ _ _ (fun n => ((P n).f n : X _[n] ⟶ _)) fun n => by
simpa only [← P_is_eventually_constant (show n ≤ n by rfl),
AlternatingFaceMapComplex.obj_d_eq] using (P (n + 1) : K[X] ⟶ _).comm (n + 1) n
set_option linter.uppercaseLean3 false in
#align algebraic_topology.dold_kan.P_infty AlgebraicTopology.DoldKan.PInfty
noncomputable def QInfty : K[X] ⟶ K[X] :=
𝟙 _ - PInfty
set_option linter.uppercaseLean3 false in
#align algebraic_topology.dold_kan.Q_infty AlgebraicTopology.DoldKan.QInfty
@[simp]
theorem PInfty_f_0 : (PInfty.f 0 : X _[0] ⟶ X _[0]) = 𝟙 _ :=
rfl
set_option linter.uppercaseLean3 false in
#align algebraic_topology.dold_kan.P_infty_f_0 AlgebraicTopology.DoldKan.PInfty_f_0
theorem PInfty_f (n : ℕ) : (PInfty.f n : X _[n] ⟶ X _[n]) = (P n).f n :=
rfl
set_option linter.uppercaseLean3 false in
#align algebraic_topology.dold_kan.P_infty_f AlgebraicTopology.DoldKan.PInfty_f
@[simp]
theorem QInfty_f_0 : (QInfty.f 0 : X _[0] ⟶ X _[0]) = 0 := by
dsimp [QInfty]
simp only [sub_self]
set_option linter.uppercaseLean3 false in
#align algebraic_topology.dold_kan.Q_infty_f_0 AlgebraicTopology.DoldKan.QInfty_f_0
theorem QInfty_f (n : ℕ) : (QInfty.f n : X _[n] ⟶ X _[n]) = (Q n).f n :=
rfl
set_option linter.uppercaseLean3 false in
#align algebraic_topology.dold_kan.Q_infty_f AlgebraicTopology.DoldKan.QInfty_f
@[reassoc (attr := simp)]
theorem PInfty_f_naturality (n : ℕ) {X Y : SimplicialObject C} (f : X ⟶ Y) :
f.app (op [n]) ≫ PInfty.f n = PInfty.f n ≫ f.app (op [n]) :=
P_f_naturality n n f
set_option linter.uppercaseLean3 false in
#align algebraic_topology.dold_kan.P_infty_f_naturality AlgebraicTopology.DoldKan.PInfty_f_naturality
@[reassoc (attr := simp)]
theorem QInfty_f_naturality (n : ℕ) {X Y : SimplicialObject C} (f : X ⟶ Y) :
f.app (op [n]) ≫ QInfty.f n = QInfty.f n ≫ f.app (op [n]) :=
Q_f_naturality n n f
set_option linter.uppercaseLean3 false in
#align algebraic_topology.dold_kan.Q_infty_f_naturality AlgebraicTopology.DoldKan.QInfty_f_naturality
@[reassoc (attr := simp)]
theorem PInfty_f_idem (n : ℕ) : (PInfty.f n : X _[n] ⟶ _) ≫ PInfty.f n = PInfty.f n := by
simp only [PInfty_f, P_f_idem]
set_option linter.uppercaseLean3 false in
#align algebraic_topology.dold_kan.P_infty_f_idem AlgebraicTopology.DoldKan.PInfty_f_idem
@[reassoc (attr := simp)]
theorem PInfty_idem : (PInfty : K[X] ⟶ _) ≫ PInfty = PInfty := by
ext n
exact PInfty_f_idem n
set_option linter.uppercaseLean3 false in
#align algebraic_topology.dold_kan.P_infty_idem AlgebraicTopology.DoldKan.PInfty_idem
@[reassoc (attr := simp)]
theorem QInfty_f_idem (n : ℕ) : (QInfty.f n : X _[n] ⟶ _) ≫ QInfty.f n = QInfty.f n :=
Q_f_idem _ _
set_option linter.uppercaseLean3 false in
#align algebraic_topology.dold_kan.Q_infty_f_idem AlgebraicTopology.DoldKan.QInfty_f_idem
@[reassoc (attr := simp)]
theorem QInfty_idem : (QInfty : K[X] ⟶ _) ≫ QInfty = QInfty := by
ext n
exact QInfty_f_idem n
set_option linter.uppercaseLean3 false in
#align algebraic_topology.dold_kan.Q_infty_idem AlgebraicTopology.DoldKan.QInfty_idem
@[reassoc (attr := simp)]
theorem PInfty_f_comp_QInfty_f (n : ℕ) : (PInfty.f n : X _[n] ⟶ _) ≫ QInfty.f n = 0 := by
dsimp only [QInfty]
simp only [HomologicalComplex.sub_f_apply, HomologicalComplex.id_f, comp_sub, comp_id,
PInfty_f_idem, sub_self]
set_option linter.uppercaseLean3 false in
#align algebraic_topology.dold_kan.P_infty_f_comp_Q_infty_f AlgebraicTopology.DoldKan.PInfty_f_comp_QInfty_f
@[reassoc (attr := simp)]
theorem PInfty_comp_QInfty : (PInfty : K[X] ⟶ _) ≫ QInfty = 0 := by
ext n
apply PInfty_f_comp_QInfty_f
set_option linter.uppercaseLean3 false in
#align algebraic_topology.dold_kan.P_infty_comp_Q_infty AlgebraicTopology.DoldKan.PInfty_comp_QInfty
@[reassoc (attr := simp)]
theorem QInfty_f_comp_PInfty_f (n : ℕ) : (QInfty.f n : X _[n] ⟶ _) ≫ PInfty.f n = 0 := by
dsimp only [QInfty]
simp only [HomologicalComplex.sub_f_apply, HomologicalComplex.id_f, sub_comp, id_comp,
PInfty_f_idem, sub_self]
set_option linter.uppercaseLean3 false in
#align algebraic_topology.dold_kan.Q_infty_f_comp_P_infty_f AlgebraicTopology.DoldKan.QInfty_f_comp_PInfty_f
@[reassoc (attr := simp)]
theorem QInfty_comp_PInfty : (QInfty : K[X] ⟶ _) ≫ PInfty = 0 := by
ext n
apply QInfty_f_comp_PInfty_f
set_option linter.uppercaseLean3 false in
#align algebraic_topology.dold_kan.Q_infty_comp_P_infty AlgebraicTopology.DoldKan.QInfty_comp_PInfty
@[simp]
| Mathlib/AlgebraicTopology/DoldKan/PInfty.lean | 160 | 162 | theorem PInfty_add_QInfty : (PInfty : K[X] ⟶ _) + QInfty = 𝟙 _ := by |
dsimp only [QInfty]
simp only [add_sub_cancel]
|
import Mathlib.Logic.Function.Basic
import Mathlib.Tactic.MkIffOfInductiveProp
#align_import data.sum.basic from "leanprover-community/mathlib"@"bd9851ca476957ea4549eb19b40e7b5ade9428cc"
universe u v w x
variable {α : Type u} {α' : Type w} {β : Type v} {β' : Type x} {γ δ : Type*}
namespace Sum
#align sum.forall Sum.forall
#align sum.exists Sum.exists
theorem exists_sum {γ : α ⊕ β → Sort*} (p : (∀ ab, γ ab) → Prop) :
(∃ fab, p fab) ↔ (∃ fa fb, p (Sum.rec fa fb)) := by
rw [← not_forall_not, forall_sum]
simp
theorem inl_injective : Function.Injective (inl : α → Sum α β) := fun _ _ ↦ inl.inj
#align sum.inl_injective Sum.inl_injective
theorem inr_injective : Function.Injective (inr : β → Sum α β) := fun _ _ ↦ inr.inj
#align sum.inr_injective Sum.inr_injective
theorem sum_rec_congr (P : α ⊕ β → Sort*) (f : ∀ i, P (inl i)) (g : ∀ i, P (inr i))
{x y : α ⊕ β} (h : x = y) :
@Sum.rec _ _ _ f g x = cast (congr_arg P h.symm) (@Sum.rec _ _ _ f g y) := by cases h; rfl
#align sum.inl.inj_iff Sum.inl.inj_iff
#align sum.inr.inj_iff Sum.inr.inj_iff
#align sum.inl_ne_inr Sum.inl_ne_inr
#align sum.inr_ne_inl Sum.inr_ne_inl
#align sum.elim Sum.elim
#align sum.elim_inl Sum.elim_inl
#align sum.elim_inr Sum.elim_inr
#align sum.elim_comp_inl Sum.elim_comp_inl
#align sum.elim_comp_inr Sum.elim_comp_inr
#align sum.elim_inl_inr Sum.elim_inl_inr
#align sum.comp_elim Sum.comp_elim
#align sum.elim_comp_inl_inr Sum.elim_comp_inl_inr
#align sum.map Sum.map
#align sum.map_inl Sum.map_inl
#align sum.map_inr Sum.map_inr
#align sum.map_map Sum.map_map
#align sum.map_comp_map Sum.map_comp_map
#align sum.map_id_id Sum.map_id_id
#align sum.elim_map Sum.elim_map
#align sum.elim_comp_map Sum.elim_comp_map
#align sum.is_left_map Sum.isLeft_map
#align sum.is_right_map Sum.isRight_map
#align sum.get_left_map Sum.getLeft?_map
#align sum.get_right_map Sum.getRight?_map
open Function (update update_eq_iff update_comp_eq_of_injective update_comp_eq_of_forall_ne)
@[simp]
theorem update_elim_inl [DecidableEq α] [DecidableEq (Sum α β)] {f : α → γ} {g : β → γ} {i : α}
{x : γ} : update (Sum.elim f g) (inl i) x = Sum.elim (update f i x) g :=
update_eq_iff.2 ⟨by simp, by simp (config := { contextual := true })⟩
#align sum.update_elim_inl Sum.update_elim_inl
@[simp]
theorem update_elim_inr [DecidableEq β] [DecidableEq (Sum α β)] {f : α → γ} {g : β → γ} {i : β}
{x : γ} : update (Sum.elim f g) (inr i) x = Sum.elim f (update g i x) :=
update_eq_iff.2 ⟨by simp, by simp (config := { contextual := true })⟩
#align sum.update_elim_inr Sum.update_elim_inr
@[simp]
theorem update_inl_comp_inl [DecidableEq α] [DecidableEq (Sum α β)] {f : Sum α β → γ} {i : α}
{x : γ} : update f (inl i) x ∘ inl = update (f ∘ inl) i x :=
update_comp_eq_of_injective _ inl_injective _ _
#align sum.update_inl_comp_inl Sum.update_inl_comp_inl
@[simp]
theorem update_inl_apply_inl [DecidableEq α] [DecidableEq (Sum α β)] {f : Sum α β → γ} {i j : α}
{x : γ} : update f (inl i) x (inl j) = update (f ∘ inl) i x j := by
rw [← update_inl_comp_inl, Function.comp_apply]
#align sum.update_inl_apply_inl Sum.update_inl_apply_inl
@[simp]
theorem update_inl_comp_inr [DecidableEq (Sum α β)] {f : Sum α β → γ} {i : α} {x : γ} :
update f (inl i) x ∘ inr = f ∘ inr :=
(update_comp_eq_of_forall_ne _ _) fun _ ↦ inr_ne_inl
#align sum.update_inl_comp_inr Sum.update_inl_comp_inr
theorem update_inl_apply_inr [DecidableEq (Sum α β)] {f : Sum α β → γ} {i : α} {j : β} {x : γ} :
update f (inl i) x (inr j) = f (inr j) :=
Function.update_noteq inr_ne_inl _ _
#align sum.update_inl_apply_inr Sum.update_inl_apply_inr
@[simp]
theorem update_inr_comp_inl [DecidableEq (Sum α β)] {f : Sum α β → γ} {i : β} {x : γ} :
update f (inr i) x ∘ inl = f ∘ inl :=
(update_comp_eq_of_forall_ne _ _) fun _ ↦ inl_ne_inr
#align sum.update_inr_comp_inl Sum.update_inr_comp_inl
theorem update_inr_apply_inl [DecidableEq (Sum α β)] {f : Sum α β → γ} {i : α} {j : β} {x : γ} :
update f (inr j) x (inl i) = f (inl i) :=
Function.update_noteq inl_ne_inr _ _
#align sum.update_inr_apply_inl Sum.update_inr_apply_inl
@[simp]
theorem update_inr_comp_inr [DecidableEq β] [DecidableEq (Sum α β)] {f : Sum α β → γ} {i : β}
{x : γ} : update f (inr i) x ∘ inr = update (f ∘ inr) i x :=
update_comp_eq_of_injective _ inr_injective _ _
#align sum.update_inr_comp_inr Sum.update_inr_comp_inr
@[simp]
theorem update_inr_apply_inr [DecidableEq β] [DecidableEq (Sum α β)] {f : Sum α β → γ} {i j : β}
{x : γ} : update f (inr i) x (inr j) = update (f ∘ inr) i x j := by
rw [← update_inr_comp_inr, Function.comp_apply]
#align sum.update_inr_apply_inr Sum.update_inr_apply_inr
#align sum.swap Sum.swap
#align sum.swap_inl Sum.swap_inl
#align sum.swap_inr Sum.swap_inr
#align sum.swap_swap Sum.swap_swap
#align sum.swap_swap_eq Sum.swap_swap_eq
@[simp]
theorem swap_leftInverse : Function.LeftInverse (@swap α β) swap :=
swap_swap
#align sum.swap_left_inverse Sum.swap_leftInverse
@[simp]
theorem swap_rightInverse : Function.RightInverse (@swap α β) swap :=
swap_swap
#align sum.swap_right_inverse Sum.swap_rightInverse
#align sum.is_left_swap Sum.isLeft_swap
#align sum.is_right_swap Sum.isRight_swap
#align sum.get_left_swap Sum.getLeft?_swap
#align sum.get_right_swap Sum.getRight?_swap
mk_iff_of_inductive_prop Sum.LiftRel Sum.liftRel_iff
namespace LiftRel
#align sum.lift_rel Sum.LiftRel
#align sum.lift_rel_inl_inl Sum.liftRel_inl_inl
#align sum.not_lift_rel_inl_inr Sum.not_liftRel_inl_inr
#align sum.not_lift_rel_inr_inl Sum.not_liftRel_inr_inl
#align sum.lift_rel_inr_inr Sum.liftRel_inr_inr
#align sum.lift_rel.mono Sum.LiftRel.mono
#align sum.lift_rel.mono_left Sum.LiftRel.mono_left
#align sum.lift_rel.mono_right Sum.LiftRel.mono_right
#align sum.lift_rel.swap Sum.LiftRel.swap
#align sum.lift_rel_swap_iff Sum.liftRel_swap_iff
variable {r : α → γ → Prop} {s : β → δ → Prop} {x : Sum α β} {y : Sum γ δ}
{a : α} {b : β} {c : γ} {d : δ}
theorem isLeft_congr (h : LiftRel r s x y) : x.isLeft ↔ y.isLeft := by cases h <;> rfl
theorem isRight_congr (h : LiftRel r s x y) : x.isRight ↔ y.isRight := by cases h <;> rfl
theorem isLeft_left (h : LiftRel r s x (inl c)) : x.isLeft := by cases h; rfl
| Mathlib/Data/Sum/Basic.lean | 214 | 214 | theorem isLeft_right (h : LiftRel r s (inl a) y) : y.isLeft := by | cases h; rfl
|
import Mathlib.Topology.Bases
import Mathlib.Order.Filter.CountableInter
import Mathlib.Topology.Compactness.SigmaCompact
open Set Filter Topology TopologicalSpace
universe u v
variable {X : Type u} {Y : Type v} {ι : Type*}
variable [TopologicalSpace X] [TopologicalSpace Y] {s t : Set X}
section Lindelof
def IsLindelof (s : Set X) :=
∀ ⦃f⦄ [NeBot f] [CountableInterFilter f], f ≤ 𝓟 s → ∃ x ∈ s, ClusterPt x f
theorem IsLindelof.compl_mem_sets (hs : IsLindelof s) {f : Filter X} [CountableInterFilter f]
(hf : ∀ x ∈ s, sᶜ ∈ 𝓝 x ⊓ f) : sᶜ ∈ f := by
contrapose! hf
simp only [not_mem_iff_inf_principal_compl, compl_compl, inf_assoc] at hf ⊢
exact hs inf_le_right
theorem IsLindelof.compl_mem_sets_of_nhdsWithin (hs : IsLindelof s) {f : Filter X}
[CountableInterFilter f] (hf : ∀ x ∈ s, ∃ t ∈ 𝓝[s] x, tᶜ ∈ f) : sᶜ ∈ f := by
refine hs.compl_mem_sets fun x hx ↦ ?_
rw [← disjoint_principal_right, disjoint_right_comm, (basis_sets _).disjoint_iff_left]
exact hf x hx
@[elab_as_elim]
theorem IsLindelof.induction_on (hs : IsLindelof s) {p : Set X → Prop}
(hmono : ∀ ⦃s t⦄, s ⊆ t → p t → p s)
(hcountable_union : ∀ (S : Set (Set X)), S.Countable → (∀ s ∈ S, p s) → p (⋃₀ S))
(hnhds : ∀ x ∈ s, ∃ t ∈ 𝓝[s] x, p t) : p s := by
let f : Filter X := ofCountableUnion p hcountable_union (fun t ht _ hsub ↦ hmono hsub ht)
have : sᶜ ∈ f := hs.compl_mem_sets_of_nhdsWithin (by simpa [f] using hnhds)
rwa [← compl_compl s]
theorem IsLindelof.inter_right (hs : IsLindelof s) (ht : IsClosed t) : IsLindelof (s ∩ t) := by
intro f hnf _ hstf
rw [← inf_principal, le_inf_iff] at hstf
obtain ⟨x, hsx, hx⟩ : ∃ x ∈ s, ClusterPt x f := hs hstf.1
have hxt : x ∈ t := ht.mem_of_nhdsWithin_neBot <| hx.mono hstf.2
exact ⟨x, ⟨hsx, hxt⟩, hx⟩
theorem IsLindelof.inter_left (ht : IsLindelof t) (hs : IsClosed s) : IsLindelof (s ∩ t) :=
inter_comm t s ▸ ht.inter_right hs
theorem IsLindelof.diff (hs : IsLindelof s) (ht : IsOpen t) : IsLindelof (s \ t) :=
hs.inter_right (isClosed_compl_iff.mpr ht)
theorem IsLindelof.of_isClosed_subset (hs : IsLindelof s) (ht : IsClosed t) (h : t ⊆ s) :
IsLindelof t := inter_eq_self_of_subset_right h ▸ hs.inter_right ht
theorem IsLindelof.image_of_continuousOn {f : X → Y} (hs : IsLindelof s) (hf : ContinuousOn f s) :
IsLindelof (f '' s) := by
intro l lne _ ls
have : NeBot (l.comap f ⊓ 𝓟 s) :=
comap_inf_principal_neBot_of_image_mem lne (le_principal_iff.1 ls)
obtain ⟨x, hxs, hx⟩ : ∃ x ∈ s, ClusterPt x (l.comap f ⊓ 𝓟 s) := @hs _ this _ inf_le_right
haveI := hx.neBot
use f x, mem_image_of_mem f hxs
have : Tendsto f (𝓝 x ⊓ (comap f l ⊓ 𝓟 s)) (𝓝 (f x) ⊓ l) := by
convert (hf x hxs).inf (@tendsto_comap _ _ f l) using 1
rw [nhdsWithin]
ac_rfl
exact this.neBot
theorem IsLindelof.image {f : X → Y} (hs : IsLindelof s) (hf : Continuous f) :
IsLindelof (f '' s) := hs.image_of_continuousOn hf.continuousOn
theorem IsLindelof.adherence_nhdset {f : Filter X} [CountableInterFilter f] (hs : IsLindelof s)
(hf₂ : f ≤ 𝓟 s) (ht₁ : IsOpen t) (ht₂ : ∀ x ∈ s, ClusterPt x f → x ∈ t) : t ∈ f :=
(eq_or_neBot _).casesOn mem_of_eq_bot fun _ ↦
let ⟨x, hx, hfx⟩ := @hs (f ⊓ 𝓟 tᶜ) _ _ <| inf_le_of_left_le hf₂
have : x ∈ t := ht₂ x hx hfx.of_inf_left
have : tᶜ ∩ t ∈ 𝓝[tᶜ] x := inter_mem_nhdsWithin _ (ht₁.mem_nhds this)
have A : 𝓝[tᶜ] x = ⊥ := empty_mem_iff_bot.1 <| compl_inter_self t ▸ this
have : 𝓝[tᶜ] x ≠ ⊥ := hfx.of_inf_right.ne
absurd A this
theorem IsLindelof.elim_countable_subcover {ι : Type v} (hs : IsLindelof s) (U : ι → Set X)
(hUo : ∀ i, IsOpen (U i)) (hsU : s ⊆ ⋃ i, U i) :
∃ r : Set ι, r.Countable ∧ (s ⊆ ⋃ i ∈ r, U i) := by
have hmono : ∀ ⦃s t : Set X⦄, s ⊆ t → (∃ r : Set ι, r.Countable ∧ t ⊆ ⋃ i ∈ r, U i)
→ (∃ r : Set ι, r.Countable ∧ s ⊆ ⋃ i ∈ r, U i) := by
intro _ _ hst ⟨r, ⟨hrcountable, hsub⟩⟩
exact ⟨r, hrcountable, Subset.trans hst hsub⟩
have hcountable_union : ∀ (S : Set (Set X)), S.Countable
→ (∀ s ∈ S, ∃ r : Set ι, r.Countable ∧ (s ⊆ ⋃ i ∈ r, U i))
→ ∃ r : Set ι, r.Countable ∧ (⋃₀ S ⊆ ⋃ i ∈ r, U i) := by
intro S hS hsr
choose! r hr using hsr
refine ⟨⋃ s ∈ S, r s, hS.biUnion_iff.mpr (fun s hs ↦ (hr s hs).1), ?_⟩
refine sUnion_subset ?h.right.h
simp only [mem_iUnion, exists_prop, iUnion_exists, biUnion_and']
exact fun i is x hx ↦ mem_biUnion is ((hr i is).2 hx)
have h_nhds : ∀ x ∈ s, ∃ t ∈ 𝓝[s] x, ∃ r : Set ι, r.Countable ∧ (t ⊆ ⋃ i ∈ r, U i) := by
intro x hx
let ⟨i, hi⟩ := mem_iUnion.1 (hsU hx)
refine ⟨U i, mem_nhdsWithin_of_mem_nhds ((hUo i).mem_nhds hi), {i}, by simp, ?_⟩
simp only [mem_singleton_iff, iUnion_iUnion_eq_left]
exact Subset.refl _
exact hs.induction_on hmono hcountable_union h_nhds
theorem IsLindelof.elim_nhds_subcover' (hs : IsLindelof s) (U : ∀ x ∈ s, Set X)
(hU : ∀ x (hx : x ∈ s), U x ‹x ∈ s› ∈ 𝓝 x) :
∃ t : Set s, t.Countable ∧ s ⊆ ⋃ x ∈ t, U (x : s) x.2 := by
have := hs.elim_countable_subcover (fun x : s ↦ interior (U x x.2)) (fun _ ↦ isOpen_interior)
fun x hx ↦
mem_iUnion.2 ⟨⟨x, hx⟩, mem_interior_iff_mem_nhds.2 <| hU _ _⟩
rcases this with ⟨r, ⟨hr, hs⟩⟩
use r, hr
apply Subset.trans hs
apply iUnion₂_subset
intro i hi
apply Subset.trans interior_subset
exact subset_iUnion_of_subset i (subset_iUnion_of_subset hi (Subset.refl _))
theorem IsLindelof.elim_nhds_subcover (hs : IsLindelof s) (U : X → Set X)
(hU : ∀ x ∈ s, U x ∈ 𝓝 x) :
∃ t : Set X, t.Countable ∧ (∀ x ∈ t, x ∈ s) ∧ s ⊆ ⋃ x ∈ t, U x := by
let ⟨t, ⟨htc, htsub⟩⟩ := hs.elim_nhds_subcover' (fun x _ ↦ U x) hU
refine ⟨↑t, Countable.image htc Subtype.val, ?_⟩
constructor
· intro _
simp only [mem_image, Subtype.exists, exists_and_right, exists_eq_right, forall_exists_index]
tauto
· have : ⋃ x ∈ t, U ↑x = ⋃ x ∈ Subtype.val '' t, U x := biUnion_image.symm
rwa [← this]
theorem IsLindelof.disjoint_nhdsSet_left {l : Filter X} [CountableInterFilter l]
(hs : IsLindelof s) :
Disjoint (𝓝ˢ s) l ↔ ∀ x ∈ s, Disjoint (𝓝 x) l := by
refine ⟨fun h x hx ↦ h.mono_left <| nhds_le_nhdsSet hx, fun H ↦ ?_⟩
choose! U hxU hUl using fun x hx ↦ (nhds_basis_opens x).disjoint_iff_left.1 (H x hx)
choose hxU hUo using hxU
rcases hs.elim_nhds_subcover U fun x hx ↦ (hUo x hx).mem_nhds (hxU x hx) with ⟨t, htc, hts, hst⟩
refine (hasBasis_nhdsSet _).disjoint_iff_left.2
⟨⋃ x ∈ t, U x, ⟨isOpen_biUnion fun x hx ↦ hUo x (hts x hx), hst⟩, ?_⟩
rw [compl_iUnion₂]
exact (countable_bInter_mem htc).mpr (fun i hi ↦ hUl _ (hts _ hi))
theorem IsLindelof.disjoint_nhdsSet_right {l : Filter X} [CountableInterFilter l]
(hs : IsLindelof s) : Disjoint l (𝓝ˢ s) ↔ ∀ x ∈ s, Disjoint l (𝓝 x) := by
simpa only [disjoint_comm] using hs.disjoint_nhdsSet_left
theorem IsLindelof.elim_countable_subfamily_closed {ι : Type v} (hs : IsLindelof s)
(t : ι → Set X) (htc : ∀ i, IsClosed (t i)) (hst : (s ∩ ⋂ i, t i) = ∅) :
∃ u : Set ι, u.Countable ∧ (s ∩ ⋂ i ∈ u, t i) = ∅ := by
let U := tᶜ
have hUo : ∀ i, IsOpen (U i) := by simp only [U, Pi.compl_apply, isOpen_compl_iff]; exact htc
have hsU : s ⊆ ⋃ i, U i := by
simp only [U, Pi.compl_apply]
rw [← compl_iInter]
apply disjoint_compl_left_iff_subset.mp
simp only [compl_iInter, compl_iUnion, compl_compl]
apply Disjoint.symm
exact disjoint_iff_inter_eq_empty.mpr hst
rcases hs.elim_countable_subcover U hUo hsU with ⟨u, ⟨hucount, husub⟩⟩
use u, hucount
rw [← disjoint_compl_left_iff_subset] at husub
simp only [U, Pi.compl_apply, compl_iUnion, compl_compl] at husub
exact disjoint_iff_inter_eq_empty.mp (Disjoint.symm husub)
theorem IsLindelof.inter_iInter_nonempty {ι : Type v} (hs : IsLindelof s) (t : ι → Set X)
(htc : ∀ i, IsClosed (t i)) (hst : ∀ u : Set ι, u.Countable ∧ (s ∩ ⋂ i ∈ u, t i).Nonempty) :
(s ∩ ⋂ i, t i).Nonempty := by
contrapose! hst
rcases hs.elim_countable_subfamily_closed t htc hst with ⟨u, ⟨_, husub⟩⟩
exact ⟨u, fun _ ↦ husub⟩
theorem IsLindelof.elim_countable_subcover_image {b : Set ι} {c : ι → Set X} (hs : IsLindelof s)
(hc₁ : ∀ i ∈ b, IsOpen (c i)) (hc₂ : s ⊆ ⋃ i ∈ b, c i) :
∃ b', b' ⊆ b ∧ Set.Countable b' ∧ s ⊆ ⋃ i ∈ b', c i := by
simp only [Subtype.forall', biUnion_eq_iUnion] at hc₁ hc₂
rcases hs.elim_countable_subcover (fun i ↦ c i : b → Set X) hc₁ hc₂ with ⟨d, hd⟩
refine ⟨Subtype.val '' d, by simp, Countable.image hd.1 Subtype.val, ?_⟩
rw [biUnion_image]
exact hd.2
theorem isLindelof_of_countable_subcover
(h : ∀ {ι : Type u} (U : ι → Set X), (∀ i, IsOpen (U i)) → (s ⊆ ⋃ i, U i) →
∃ t : Set ι, t.Countable ∧ s ⊆ ⋃ i ∈ t, U i) :
IsLindelof s := fun f hf hfs ↦ by
contrapose! h
simp only [ClusterPt, not_neBot, ← disjoint_iff, SetCoe.forall',
(nhds_basis_opens _).disjoint_iff_left] at h
choose fsub U hU hUf using h
refine ⟨s, U, fun x ↦ (hU x).2, fun x hx ↦ mem_iUnion.2 ⟨⟨x, hx⟩, (hU _).1 ⟩, ?_⟩
intro t ht h
have uinf := f.sets_of_superset (le_principal_iff.1 fsub) h
have uninf : ⋂ i ∈ t, (U i)ᶜ ∈ f := (countable_bInter_mem ht).mpr (fun _ _ ↦ hUf _)
rw [← compl_iUnion₂] at uninf
have uninf := compl_not_mem uninf
simp only [compl_compl] at uninf
contradiction
theorem isLindelof_of_countable_subfamily_closed
(h :
∀ {ι : Type u} (t : ι → Set X), (∀ i, IsClosed (t i)) → (s ∩ ⋂ i, t i) = ∅ →
∃ u : Set ι, u.Countable ∧ (s ∩ ⋂ i ∈ u, t i) = ∅) :
IsLindelof s :=
isLindelof_of_countable_subcover fun U hUo hsU ↦ by
rw [← disjoint_compl_right_iff_subset, compl_iUnion, disjoint_iff] at hsU
rcases h (fun i ↦ (U i)ᶜ) (fun i ↦ (hUo _).isClosed_compl) hsU with ⟨t, ht⟩
refine ⟨t, ?_⟩
rwa [← disjoint_compl_right_iff_subset, compl_iUnion₂, disjoint_iff]
theorem isLindelof_iff_countable_subcover :
IsLindelof s ↔ ∀ {ι : Type u} (U : ι → Set X),
(∀ i, IsOpen (U i)) → (s ⊆ ⋃ i, U i) → ∃ t : Set ι, t.Countable ∧ s ⊆ ⋃ i ∈ t, U i :=
⟨fun hs ↦ hs.elim_countable_subcover, isLindelof_of_countable_subcover⟩
theorem isLindelof_iff_countable_subfamily_closed :
IsLindelof s ↔ ∀ {ι : Type u} (t : ι → Set X),
(∀ i, IsClosed (t i)) → (s ∩ ⋂ i, t i) = ∅
→ ∃ u : Set ι, u.Countable ∧ (s ∩ ⋂ i ∈ u, t i) = ∅ :=
⟨fun hs ↦ hs.elim_countable_subfamily_closed, isLindelof_of_countable_subfamily_closed⟩
@[simp]
theorem isLindelof_empty : IsLindelof (∅ : Set X) := fun _f hnf _ hsf ↦
Not.elim hnf.ne <| empty_mem_iff_bot.1 <| le_principal_iff.1 hsf
@[simp]
theorem isLindelof_singleton {x : X} : IsLindelof ({x} : Set X) := fun f hf _ hfa ↦
⟨x, rfl, ClusterPt.of_le_nhds'
(hfa.trans <| by simpa only [principal_singleton] using pure_le_nhds x) hf⟩
theorem Set.Subsingleton.isLindelof (hs : s.Subsingleton) : IsLindelof s :=
Subsingleton.induction_on hs isLindelof_empty fun _ ↦ isLindelof_singleton
theorem Set.Countable.isLindelof_biUnion {s : Set ι} {f : ι → Set X} (hs : s.Countable)
(hf : ∀ i ∈ s, IsLindelof (f i)) : IsLindelof (⋃ i ∈ s, f i) := by
apply isLindelof_of_countable_subcover
intro i U hU hUcover
have hiU : ∀ i ∈ s, f i ⊆ ⋃ i, U i :=
fun _ is ↦ _root_.subset_trans (subset_biUnion_of_mem is) hUcover
have iSets := fun i is ↦ (hf i is).elim_countable_subcover U hU (hiU i is)
choose! r hr using iSets
use ⋃ i ∈ s, r i
constructor
· refine (Countable.biUnion_iff hs).mpr ?h.left.a
exact fun s hs ↦ (hr s hs).1
· refine iUnion₂_subset ?h.right.h
intro i is
simp only [mem_iUnion, exists_prop, iUnion_exists, biUnion_and']
intro x hx
exact mem_biUnion is ((hr i is).2 hx)
theorem Set.Finite.isLindelof_biUnion {s : Set ι} {f : ι → Set X} (hs : s.Finite)
(hf : ∀ i ∈ s, IsLindelof (f i)) : IsLindelof (⋃ i ∈ s, f i) :=
Set.Countable.isLindelof_biUnion (countable hs) hf
theorem Finset.isLindelof_biUnion (s : Finset ι) {f : ι → Set X} (hf : ∀ i ∈ s, IsLindelof (f i)) :
IsLindelof (⋃ i ∈ s, f i) :=
s.finite_toSet.isLindelof_biUnion hf
theorem isLindelof_accumulate {K : ℕ → Set X} (hK : ∀ n, IsLindelof (K n)) (n : ℕ) :
IsLindelof (Accumulate K n) :=
(finite_le_nat n).isLindelof_biUnion fun k _ => hK k
theorem Set.Countable.isLindelof_sUnion {S : Set (Set X)} (hf : S.Countable)
(hc : ∀ s ∈ S, IsLindelof s) : IsLindelof (⋃₀ S) := by
rw [sUnion_eq_biUnion]; exact hf.isLindelof_biUnion hc
theorem Set.Finite.isLindelof_sUnion {S : Set (Set X)} (hf : S.Finite)
(hc : ∀ s ∈ S, IsLindelof s) : IsLindelof (⋃₀ S) := by
rw [sUnion_eq_biUnion]; exact hf.isLindelof_biUnion hc
theorem isLindelof_iUnion {ι : Sort*} {f : ι → Set X} [Countable ι] (h : ∀ i, IsLindelof (f i)) :
IsLindelof (⋃ i, f i) := (countable_range f).isLindelof_sUnion <| forall_mem_range.2 h
theorem Set.Countable.isLindelof (hs : s.Countable) : IsLindelof s :=
biUnion_of_singleton s ▸ hs.isLindelof_biUnion fun _ _ => isLindelof_singleton
theorem Set.Finite.isLindelof (hs : s.Finite) : IsLindelof s :=
biUnion_of_singleton s ▸ hs.isLindelof_biUnion fun _ _ => isLindelof_singleton
theorem IsLindelof.countable_of_discrete [DiscreteTopology X] (hs : IsLindelof s) :
s.Countable := by
have : ∀ x : X, ({x} : Set X) ∈ 𝓝 x := by simp [nhds_discrete]
rcases hs.elim_nhds_subcover (fun x => {x}) fun x _ => this x with ⟨t, ht, _, hssubt⟩
rw [biUnion_of_singleton] at hssubt
exact ht.mono hssubt
theorem isLindelof_iff_countable [DiscreteTopology X] : IsLindelof s ↔ s.Countable :=
⟨fun h => h.countable_of_discrete, fun h => h.isLindelof⟩
theorem IsLindelof.union (hs : IsLindelof s) (ht : IsLindelof t) : IsLindelof (s ∪ t) := by
rw [union_eq_iUnion]; exact isLindelof_iUnion fun b => by cases b <;> assumption
protected theorem IsLindelof.insert (hs : IsLindelof s) (a) : IsLindelof (insert a s) :=
isLindelof_singleton.union hs
theorem isLindelof_open_iff_eq_countable_iUnion_of_isTopologicalBasis (b : ι → Set X)
(hb : IsTopologicalBasis (Set.range b)) (hb' : ∀ i, IsLindelof (b i)) (U : Set X) :
IsLindelof U ∧ IsOpen U ↔ ∃ s : Set ι, s.Countable ∧ U = ⋃ i ∈ s, b i := by
constructor
· rintro ⟨h₁, h₂⟩
obtain ⟨Y, f, rfl, hf⟩ := hb.open_eq_iUnion h₂
choose f' hf' using hf
have : b ∘ f' = f := funext hf'
subst this
obtain ⟨t, ht⟩ :=
h₁.elim_countable_subcover (b ∘ f') (fun i => hb.isOpen (Set.mem_range_self _)) Subset.rfl
refine ⟨t.image f', Countable.image (ht.1) f', le_antisymm ?_ ?_⟩
· refine Set.Subset.trans ht.2 ?_
simp only [Set.iUnion_subset_iff]
intro i hi
rw [← Set.iUnion_subtype (fun x : ι => x ∈ t.image f') fun i => b i.1]
exact Set.subset_iUnion (fun i : t.image f' => b i) ⟨_, mem_image_of_mem _ hi⟩
· apply Set.iUnion₂_subset
rintro i hi
obtain ⟨j, -, rfl⟩ := (mem_image ..).mp hi
exact Set.subset_iUnion (b ∘ f') j
· rintro ⟨s, hs, rfl⟩
constructor
· exact hs.isLindelof_biUnion fun i _ => hb' i
· exact isOpen_biUnion fun i _ => hb.isOpen (Set.mem_range_self _)
def Filter.coLindelof (X : Type*) [TopologicalSpace X] : Filter X :=
--`Filter.coLindelof` is the filter generated by complements to Lindelöf sets.
⨅ (s : Set X) (_ : IsLindelof s), 𝓟 sᶜ
theorem hasBasis_coLindelof : (coLindelof X).HasBasis IsLindelof compl :=
hasBasis_biInf_principal'
(fun s hs t ht =>
⟨s ∪ t, hs.union ht, compl_subset_compl.2 subset_union_left,
compl_subset_compl.2 subset_union_right⟩)
⟨∅, isLindelof_empty⟩
theorem mem_coLindelof : s ∈ coLindelof X ↔ ∃ t, IsLindelof t ∧ tᶜ ⊆ s :=
hasBasis_coLindelof.mem_iff
theorem mem_coLindelof' : s ∈ coLindelof X ↔ ∃ t, IsLindelof t ∧ sᶜ ⊆ t :=
mem_coLindelof.trans <| exists_congr fun _ => and_congr_right fun _ => compl_subset_comm
theorem _root_.IsLindelof.compl_mem_coLindelof (hs : IsLindelof s) : sᶜ ∈ coLindelof X :=
hasBasis_coLindelof.mem_of_mem hs
theorem coLindelof_le_cofinite : coLindelof X ≤ cofinite := fun s hs =>
compl_compl s ▸ hs.isLindelof.compl_mem_coLindelof
theorem Tendsto.isLindelof_insert_range_of_coLindelof {f : X → Y} {y}
(hf : Tendsto f (coLindelof X) (𝓝 y)) (hfc : Continuous f) :
IsLindelof (insert y (range f)) := by
intro l hne _ hle
by_cases hy : ClusterPt y l
· exact ⟨y, Or.inl rfl, hy⟩
simp only [clusterPt_iff, not_forall, ← not_disjoint_iff_nonempty_inter, not_not] at hy
rcases hy with ⟨s, hsy, t, htl, hd⟩
rcases mem_coLindelof.1 (hf hsy) with ⟨K, hKc, hKs⟩
have : f '' K ∈ l := by
filter_upwards [htl, le_principal_iff.1 hle] with y hyt hyf
rcases hyf with (rfl | ⟨x, rfl⟩)
exacts [(hd.le_bot ⟨mem_of_mem_nhds hsy, hyt⟩).elim,
mem_image_of_mem _ (not_not.1 fun hxK => hd.le_bot ⟨hKs hxK, hyt⟩)]
rcases hKc.image hfc (le_principal_iff.2 this) with ⟨y, hy, hyl⟩
exact ⟨y, Or.inr <| image_subset_range _ _ hy, hyl⟩
def Filter.coclosedLindelof (X : Type*) [TopologicalSpace X] : Filter X :=
-- `Filter.coclosedLindelof` is the filter generated by complements to closed Lindelof sets.
⨅ (s : Set X) (_ : IsClosed s) (_ : IsLindelof s), 𝓟 sᶜ
theorem hasBasis_coclosedLindelof :
(Filter.coclosedLindelof X).HasBasis (fun s => IsClosed s ∧ IsLindelof s) compl := by
simp only [Filter.coclosedLindelof, iInf_and']
refine hasBasis_biInf_principal' ?_ ⟨∅, isClosed_empty, isLindelof_empty⟩
rintro s ⟨hs₁, hs₂⟩ t ⟨ht₁, ht₂⟩
exact ⟨s ∪ t, ⟨⟨hs₁.union ht₁, hs₂.union ht₂⟩, compl_subset_compl.2 subset_union_left,
compl_subset_compl.2 subset_union_right⟩⟩
theorem mem_coclosedLindelof : s ∈ coclosedLindelof X ↔
∃ t, IsClosed t ∧ IsLindelof t ∧ tᶜ ⊆ s := by
simp only [hasBasis_coclosedLindelof.mem_iff, and_assoc]
theorem mem_coclosed_Lindelof' : s ∈ coclosedLindelof X ↔
∃ t, IsClosed t ∧ IsLindelof t ∧ sᶜ ⊆ t := by
simp only [mem_coclosedLindelof, compl_subset_comm]
theorem coLindelof_le_coclosedLindelof : coLindelof X ≤ coclosedLindelof X :=
iInf_mono fun _ => le_iInf fun _ => le_rfl
theorem IsLindeof.compl_mem_coclosedLindelof_of_isClosed (hs : IsLindelof s) (hs' : IsClosed s) :
sᶜ ∈ Filter.coclosedLindelof X :=
hasBasis_coclosedLindelof.mem_of_mem ⟨hs', hs⟩
class LindelofSpace (X : Type*) [TopologicalSpace X] : Prop where
isLindelof_univ : IsLindelof (univ : Set X)
instance (priority := 10) Subsingleton.lindelofSpace [Subsingleton X] : LindelofSpace X :=
⟨subsingleton_univ.isLindelof⟩
theorem isLindelof_univ_iff : IsLindelof (univ : Set X) ↔ LindelofSpace X :=
⟨fun h => ⟨h⟩, fun h => h.1⟩
theorem isLindelof_univ [h : LindelofSpace X] : IsLindelof (univ : Set X) :=
h.isLindelof_univ
theorem cluster_point_of_Lindelof [LindelofSpace X] (f : Filter X) [NeBot f]
[CountableInterFilter f] : ∃ x, ClusterPt x f := by
simpa using isLindelof_univ (show f ≤ 𝓟 univ by simp)
theorem LindelofSpace.elim_nhds_subcover [LindelofSpace X] (U : X → Set X) (hU : ∀ x, U x ∈ 𝓝 x) :
∃ t : Set X, t.Countable ∧ ⋃ x ∈ t, U x = univ := by
obtain ⟨t, tc, -, s⟩ := IsLindelof.elim_nhds_subcover isLindelof_univ U fun x _ => hU x
use t, tc
apply top_unique s
theorem lindelofSpace_of_countable_subfamily_closed
(h : ∀ {ι : Type u} (t : ι → Set X), (∀ i, IsClosed (t i)) → ⋂ i, t i = ∅ →
∃ u : Set ι, u.Countable ∧ ⋂ i ∈ u, t i = ∅) :
LindelofSpace X where
isLindelof_univ := isLindelof_of_countable_subfamily_closed fun t => by simpa using h t
theorem IsClosed.isLindelof [LindelofSpace X] (h : IsClosed s) : IsLindelof s :=
isLindelof_univ.of_isClosed_subset h (subset_univ _)
theorem IsCompact.isLindelof (hs : IsCompact s) :
IsLindelof s := by tauto
theorem IsSigmaCompact.isLindelof (hs : IsSigmaCompact s) :
IsLindelof s := by
rw [IsSigmaCompact] at hs
rcases hs with ⟨K, ⟨hc, huniv⟩⟩
rw [← huniv]
have hl : ∀ n, IsLindelof (K n) := fun n ↦ IsCompact.isLindelof (hc n)
exact isLindelof_iUnion hl
instance (priority := 100) [CompactSpace X] : LindelofSpace X :=
{ isLindelof_univ := isCompact_univ.isLindelof}
instance (priority := 100) [SigmaCompactSpace X] : LindelofSpace X :=
{ isLindelof_univ := isSigmaCompact_univ.isLindelof}
class NonLindelofSpace (X : Type*) [TopologicalSpace X] : Prop where
nonLindelof_univ : ¬IsLindelof (univ : Set X)
lemma nonLindelof_univ (X : Type*) [TopologicalSpace X] [NonLindelofSpace X] :
¬IsLindelof (univ : Set X) :=
NonLindelofSpace.nonLindelof_univ
theorem IsLindelof.ne_univ [NonLindelofSpace X] (hs : IsLindelof s) : s ≠ univ := fun h ↦
nonLindelof_univ X (h ▸ hs)
instance [NonLindelofSpace X] : NeBot (Filter.coLindelof X) := by
refine hasBasis_coLindelof.neBot_iff.2 fun {s} hs => ?_
contrapose hs
rw [not_nonempty_iff_eq_empty, compl_empty_iff] at hs
rw [hs]
exact nonLindelof_univ X
@[simp]
theorem Filter.coLindelof_eq_bot [LindelofSpace X] : Filter.coLindelof X = ⊥ :=
hasBasis_coLindelof.eq_bot_iff.mpr ⟨Set.univ, isLindelof_univ, Set.compl_univ⟩
instance [NonLindelofSpace X] : NeBot (Filter.coclosedLindelof X) :=
neBot_of_le coLindelof_le_coclosedLindelof
theorem nonLindelofSpace_of_neBot (_ : NeBot (Filter.coLindelof X)) : NonLindelofSpace X :=
⟨fun h' => (Filter.nonempty_of_mem h'.compl_mem_coLindelof).ne_empty compl_univ⟩
theorem Filter.coLindelof_neBot_iff : NeBot (Filter.coLindelof X) ↔ NonLindelofSpace X :=
⟨nonLindelofSpace_of_neBot, fun _ => inferInstance⟩
theorem not_LindelofSpace_iff : ¬LindelofSpace X ↔ NonLindelofSpace X :=
⟨fun h₁ => ⟨fun h₂ => h₁ ⟨h₂⟩⟩, fun ⟨h₁⟩ ⟨h₂⟩ => h₁ h₂⟩
instance (priority := 100) [CompactSpace X] : LindelofSpace X :=
{ isLindelof_univ := isCompact_univ.isLindelof}
theorem countable_of_Lindelof_of_discrete [LindelofSpace X] [DiscreteTopology X] : Countable X :=
countable_univ_iff.mp isLindelof_univ.countable_of_discrete
theorem countable_cover_nhds_interior [LindelofSpace X] {U : X → Set X} (hU : ∀ x, U x ∈ 𝓝 x) :
∃ t : Set X, t.Countable ∧ ⋃ x ∈ t, interior (U x) = univ :=
let ⟨t, ht⟩ := isLindelof_univ.elim_countable_subcover (fun x => interior (U x))
(fun _ => isOpen_interior) fun x _ => mem_iUnion.2 ⟨x, mem_interior_iff_mem_nhds.2 (hU x)⟩
⟨t, ⟨ht.1, univ_subset_iff.1 ht.2⟩⟩
theorem countable_cover_nhds [LindelofSpace X] {U : X → Set X} (hU : ∀ x, U x ∈ 𝓝 x) :
∃ t : Set X, t.Countable ∧ ⋃ x ∈ t, U x = univ :=
let ⟨t, ht⟩ := countable_cover_nhds_interior hU
⟨t, ⟨ht.1, univ_subset_iff.1 <| ht.2.symm.subset.trans <|
iUnion₂_mono fun _ _ => interior_subset⟩⟩
theorem Filter.comap_coLindelof_le {f : X → Y} (hf : Continuous f) :
(Filter.coLindelof Y).comap f ≤ Filter.coLindelof X := by
rw [(hasBasis_coLindelof.comap f).le_basis_iff hasBasis_coLindelof]
intro t ht
refine ⟨f '' t, ht.image hf, ?_⟩
simpa using t.subset_preimage_image f
theorem isLindelof_range [LindelofSpace X] {f : X → Y} (hf : Continuous f) :
IsLindelof (range f) := by rw [← image_univ]; exact isLindelof_univ.image hf
theorem isLindelof_diagonal [LindelofSpace X] : IsLindelof (diagonal X) :=
@range_diag X ▸ isLindelof_range (continuous_id.prod_mk continuous_id)
theorem Inducing.isLindelof_iff {f : X → Y} (hf : Inducing f) :
IsLindelof s ↔ IsLindelof (f '' s) := by
refine ⟨fun hs => hs.image hf.continuous, fun hs F F_ne_bot _ F_le => ?_⟩
obtain ⟨_, ⟨x, x_in : x ∈ s, rfl⟩, hx : ClusterPt (f x) (map f F)⟩ :=
hs ((map_mono F_le).trans_eq map_principal)
exact ⟨x, x_in, hf.mapClusterPt_iff.1 hx⟩
theorem Embedding.isLindelof_iff {f : X → Y} (hf : Embedding f) :
IsLindelof s ↔ IsLindelof (f '' s) := hf.toInducing.isLindelof_iff
theorem Inducing.isLindelof_preimage {f : X → Y} (hf : Inducing f) (hf' : IsClosed (range f))
{K : Set Y} (hK : IsLindelof K) : IsLindelof (f ⁻¹' K) := by
replace hK := hK.inter_right hf'
rwa [hf.isLindelof_iff, image_preimage_eq_inter_range]
theorem ClosedEmbedding.isLindelof_preimage {f : X → Y} (hf : ClosedEmbedding f)
{K : Set Y} (hK : IsLindelof K) : IsLindelof (f ⁻¹' K) :=
hf.toInducing.isLindelof_preimage (hf.isClosed_range) hK
theorem ClosedEmbedding.tendsto_coLindelof {f : X → Y} (hf : ClosedEmbedding f) :
Tendsto f (Filter.coLindelof X) (Filter.coLindelof Y) :=
hasBasis_coLindelof.tendsto_right_iff.mpr fun _K hK =>
(hf.isLindelof_preimage hK).compl_mem_coLindelof
theorem Subtype.isLindelof_iff {p : X → Prop} {s : Set { x // p x }} :
IsLindelof s ↔ IsLindelof ((↑) '' s : Set X) :=
embedding_subtype_val.isLindelof_iff
| Mathlib/Topology/Compactness/Lindelof.lean | 625 | 626 | theorem isLindelof_iff_isLindelof_univ : IsLindelof s ↔ IsLindelof (univ : Set s) := by |
rw [Subtype.isLindelof_iff, image_univ, Subtype.range_coe]
|
import Mathlib.Init.Control.Combinators
import Mathlib.Data.Option.Defs
import Mathlib.Logic.IsEmpty
import Mathlib.Logic.Relator
import Mathlib.Util.CompileInductive
import Aesop
#align_import data.option.basic from "leanprover-community/mathlib"@"f340f229b1f461aa1c8ee11e0a172d0a3b301a4a"
universe u
namespace Option
variable {α β γ δ : Type*}
theorem coe_def : (fun a ↦ ↑a : α → Option α) = some :=
rfl
#align option.coe_def Option.coe_def
| Mathlib/Data/Option/Basic.lean | 46 | 46 | theorem mem_map {f : α → β} {y : β} {o : Option α} : y ∈ o.map f ↔ ∃ x ∈ o, f x = y := by | simp
|
import Mathlib.Algebra.Associated
import Mathlib.Algebra.BigOperators.Group.List
import Mathlib.Data.List.Perm
#align_import data.list.prime from "leanprover-community/mathlib"@"ccad6d5093bd2f5c6ca621fc74674cce51355af6"
open List
section CommMonoidWithZero
variable {M : Type*} [CommMonoidWithZero M]
| Mathlib/Data/List/Prime.lean | 27 | 38 | theorem Prime.dvd_prod_iff {p : M} {L : List M} (pp : Prime p) : p ∣ L.prod ↔ ∃ a ∈ L, p ∣ a := by |
constructor
· intro h
induction' L with L_hd L_tl L_ih
· rw [prod_nil] at h
exact absurd h pp.not_dvd_one
· rw [prod_cons] at h
cases' pp.dvd_or_dvd h with hd hd
· exact ⟨L_hd, mem_cons_self L_hd L_tl, hd⟩
· obtain ⟨x, hx1, hx2⟩ := L_ih hd
exact ⟨x, mem_cons_of_mem L_hd hx1, hx2⟩
· exact fun ⟨a, ha1, ha2⟩ => dvd_trans ha2 (dvd_prod ha1)
|
import Mathlib.Dynamics.Ergodic.MeasurePreserving
import Mathlib.LinearAlgebra.Determinant
import Mathlib.LinearAlgebra.Matrix.Diagonal
import Mathlib.LinearAlgebra.Matrix.Transvection
import Mathlib.MeasureTheory.Group.LIntegral
import Mathlib.MeasureTheory.Integral.Marginal
import Mathlib.MeasureTheory.Measure.Stieltjes
import Mathlib.MeasureTheory.Measure.Haar.OfBasis
#align_import measure_theory.measure.lebesgue.basic from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844"
assert_not_exists MeasureTheory.integral
noncomputable section
open scoped Classical
open Set Filter MeasureTheory MeasureTheory.Measure TopologicalSpace
open ENNReal (ofReal)
open scoped ENNReal NNReal Topology
namespace Real
variable {ι : Type*} [Fintype ι]
theorem volume_eq_stieltjes_id : (volume : Measure ℝ) = StieltjesFunction.id.measure := by
haveI : IsAddLeftInvariant StieltjesFunction.id.measure :=
⟨fun a =>
Eq.symm <|
Real.measure_ext_Ioo_rat fun p q => by
simp only [Measure.map_apply (measurable_const_add a) measurableSet_Ioo,
sub_sub_sub_cancel_right, StieltjesFunction.measure_Ioo, StieltjesFunction.id_leftLim,
StieltjesFunction.id_apply, id, preimage_const_add_Ioo]⟩
have A : StieltjesFunction.id.measure (stdOrthonormalBasis ℝ ℝ).toBasis.parallelepiped = 1 := by
change StieltjesFunction.id.measure (parallelepiped (stdOrthonormalBasis ℝ ℝ)) = 1
rcases parallelepiped_orthonormalBasis_one_dim (stdOrthonormalBasis ℝ ℝ) with (H | H) <;>
simp only [H, StieltjesFunction.measure_Icc, StieltjesFunction.id_apply, id, tsub_zero,
StieltjesFunction.id_leftLim, sub_neg_eq_add, zero_add, ENNReal.ofReal_one]
conv_rhs =>
rw [addHaarMeasure_unique StieltjesFunction.id.measure
(stdOrthonormalBasis ℝ ℝ).toBasis.parallelepiped, A]
simp only [volume, Basis.addHaar, one_smul]
#align real.volume_eq_stieltjes_id Real.volume_eq_stieltjes_id
theorem volume_val (s) : volume s = StieltjesFunction.id.measure s := by
simp [volume_eq_stieltjes_id]
#align real.volume_val Real.volume_val
@[simp]
theorem volume_Ico {a b : ℝ} : volume (Ico a b) = ofReal (b - a) := by simp [volume_val]
#align real.volume_Ico Real.volume_Ico
@[simp]
theorem volume_Icc {a b : ℝ} : volume (Icc a b) = ofReal (b - a) := by simp [volume_val]
#align real.volume_Icc Real.volume_Icc
@[simp]
theorem volume_Ioo {a b : ℝ} : volume (Ioo a b) = ofReal (b - a) := by simp [volume_val]
#align real.volume_Ioo Real.volume_Ioo
@[simp]
theorem volume_Ioc {a b : ℝ} : volume (Ioc a b) = ofReal (b - a) := by simp [volume_val]
#align real.volume_Ioc Real.volume_Ioc
-- @[simp] -- Porting note (#10618): simp can prove this
theorem volume_singleton {a : ℝ} : volume ({a} : Set ℝ) = 0 := by simp [volume_val]
#align real.volume_singleton Real.volume_singleton
-- @[simp] -- Porting note (#10618): simp can prove this, after mathlib4#4628
theorem volume_univ : volume (univ : Set ℝ) = ∞ :=
ENNReal.eq_top_of_forall_nnreal_le fun r =>
calc
(r : ℝ≥0∞) = volume (Icc (0 : ℝ) r) := by simp
_ ≤ volume univ := measure_mono (subset_univ _)
#align real.volume_univ Real.volume_univ
@[simp]
theorem volume_ball (a r : ℝ) : volume (Metric.ball a r) = ofReal (2 * r) := by
rw [ball_eq_Ioo, volume_Ioo, ← sub_add, add_sub_cancel_left, two_mul]
#align real.volume_ball Real.volume_ball
@[simp]
theorem volume_closedBall (a r : ℝ) : volume (Metric.closedBall a r) = ofReal (2 * r) := by
rw [closedBall_eq_Icc, volume_Icc, ← sub_add, add_sub_cancel_left, two_mul]
#align real.volume_closed_ball Real.volume_closedBall
@[simp]
theorem volume_emetric_ball (a : ℝ) (r : ℝ≥0∞) : volume (EMetric.ball a r) = 2 * r := by
rcases eq_or_ne r ∞ with (rfl | hr)
· rw [Metric.emetric_ball_top, volume_univ, two_mul, _root_.top_add]
· lift r to ℝ≥0 using hr
rw [Metric.emetric_ball_nnreal, volume_ball, two_mul, ← NNReal.coe_add,
ENNReal.ofReal_coe_nnreal, ENNReal.coe_add, two_mul]
#align real.volume_emetric_ball Real.volume_emetric_ball
@[simp]
theorem volume_emetric_closedBall (a : ℝ) (r : ℝ≥0∞) : volume (EMetric.closedBall a r) = 2 * r := by
rcases eq_or_ne r ∞ with (rfl | hr)
· rw [EMetric.closedBall_top, volume_univ, two_mul, _root_.top_add]
· lift r to ℝ≥0 using hr
rw [Metric.emetric_closedBall_nnreal, volume_closedBall, two_mul, ← NNReal.coe_add,
ENNReal.ofReal_coe_nnreal, ENNReal.coe_add, two_mul]
#align real.volume_emetric_closed_ball Real.volume_emetric_closedBall
instance noAtoms_volume : NoAtoms (volume : Measure ℝ) :=
⟨fun _ => volume_singleton⟩
#align real.has_no_atoms_volume Real.noAtoms_volume
@[simp]
theorem volume_interval {a b : ℝ} : volume (uIcc a b) = ofReal |b - a| := by
rw [← Icc_min_max, volume_Icc, max_sub_min_eq_abs]
#align real.volume_interval Real.volume_interval
@[simp]
theorem volume_Ioi {a : ℝ} : volume (Ioi a) = ∞ :=
top_unique <|
le_of_tendsto' ENNReal.tendsto_nat_nhds_top fun n =>
calc
(n : ℝ≥0∞) = volume (Ioo a (a + n)) := by simp
_ ≤ volume (Ioi a) := measure_mono Ioo_subset_Ioi_self
#align real.volume_Ioi Real.volume_Ioi
@[simp]
theorem volume_Ici {a : ℝ} : volume (Ici a) = ∞ := by rw [← measure_congr Ioi_ae_eq_Ici]; simp
#align real.volume_Ici Real.volume_Ici
@[simp]
theorem volume_Iio {a : ℝ} : volume (Iio a) = ∞ :=
top_unique <|
le_of_tendsto' ENNReal.tendsto_nat_nhds_top fun n =>
calc
(n : ℝ≥0∞) = volume (Ioo (a - n) a) := by simp
_ ≤ volume (Iio a) := measure_mono Ioo_subset_Iio_self
#align real.volume_Iio Real.volume_Iio
@[simp]
theorem volume_Iic {a : ℝ} : volume (Iic a) = ∞ := by rw [← measure_congr Iio_ae_eq_Iic]; simp
#align real.volume_Iic Real.volume_Iic
instance locallyFinite_volume : IsLocallyFiniteMeasure (volume : Measure ℝ) :=
⟨fun x =>
⟨Ioo (x - 1) (x + 1),
IsOpen.mem_nhds isOpen_Ioo ⟨sub_lt_self _ zero_lt_one, lt_add_of_pos_right _ zero_lt_one⟩, by
simp only [Real.volume_Ioo, ENNReal.ofReal_lt_top]⟩⟩
#align real.locally_finite_volume Real.locallyFinite_volume
instance isFiniteMeasure_restrict_Icc (x y : ℝ) : IsFiniteMeasure (volume.restrict (Icc x y)) :=
⟨by simp⟩
#align real.is_finite_measure_restrict_Icc Real.isFiniteMeasure_restrict_Icc
instance isFiniteMeasure_restrict_Ico (x y : ℝ) : IsFiniteMeasure (volume.restrict (Ico x y)) :=
⟨by simp⟩
#align real.is_finite_measure_restrict_Ico Real.isFiniteMeasure_restrict_Ico
instance isFiniteMeasure_restrict_Ioc (x y : ℝ) : IsFiniteMeasure (volume.restrict (Ioc x y)) :=
⟨by simp⟩
#align real.is_finite_measure_restrict_Ioc Real.isFiniteMeasure_restrict_Ioc
instance isFiniteMeasure_restrict_Ioo (x y : ℝ) : IsFiniteMeasure (volume.restrict (Ioo x y)) :=
⟨by simp⟩
#align real.is_finite_measure_restrict_Ioo Real.isFiniteMeasure_restrict_Ioo
theorem volume_le_diam (s : Set ℝ) : volume s ≤ EMetric.diam s := by
by_cases hs : Bornology.IsBounded s
· rw [Real.ediam_eq hs, ← volume_Icc]
exact volume.mono hs.subset_Icc_sInf_sSup
· rw [Metric.ediam_of_unbounded hs]; exact le_top
#align real.volume_le_diam Real.volume_le_diam
theorem _root_.Filter.Eventually.volume_pos_of_nhds_real {p : ℝ → Prop} {a : ℝ}
(h : ∀ᶠ x in 𝓝 a, p x) : (0 : ℝ≥0∞) < volume { x | p x } := by
rcases h.exists_Ioo_subset with ⟨l, u, hx, hs⟩
refine lt_of_lt_of_le ?_ (measure_mono hs)
simpa [-mem_Ioo] using hx.1.trans hx.2
#align filter.eventually.volume_pos_of_nhds_real Filter.Eventually.volume_pos_of_nhds_real
theorem volume_Icc_pi {a b : ι → ℝ} : volume (Icc a b) = ∏ i, ENNReal.ofReal (b i - a i) := by
rw [← pi_univ_Icc, volume_pi_pi]
simp only [Real.volume_Icc]
#align real.volume_Icc_pi Real.volume_Icc_pi
@[simp]
theorem volume_Icc_pi_toReal {a b : ι → ℝ} (h : a ≤ b) :
(volume (Icc a b)).toReal = ∏ i, (b i - a i) := by
simp only [volume_Icc_pi, ENNReal.toReal_prod, ENNReal.toReal_ofReal (sub_nonneg.2 (h _))]
#align real.volume_Icc_pi_to_real Real.volume_Icc_pi_toReal
theorem volume_pi_Ioo {a b : ι → ℝ} :
volume (pi univ fun i => Ioo (a i) (b i)) = ∏ i, ENNReal.ofReal (b i - a i) :=
(measure_congr Measure.univ_pi_Ioo_ae_eq_Icc).trans volume_Icc_pi
#align real.volume_pi_Ioo Real.volume_pi_Ioo
@[simp]
theorem volume_pi_Ioo_toReal {a b : ι → ℝ} (h : a ≤ b) :
(volume (pi univ fun i => Ioo (a i) (b i))).toReal = ∏ i, (b i - a i) := by
simp only [volume_pi_Ioo, ENNReal.toReal_prod, ENNReal.toReal_ofReal (sub_nonneg.2 (h _))]
#align real.volume_pi_Ioo_to_real Real.volume_pi_Ioo_toReal
theorem volume_pi_Ioc {a b : ι → ℝ} :
volume (pi univ fun i => Ioc (a i) (b i)) = ∏ i, ENNReal.ofReal (b i - a i) :=
(measure_congr Measure.univ_pi_Ioc_ae_eq_Icc).trans volume_Icc_pi
#align real.volume_pi_Ioc Real.volume_pi_Ioc
@[simp]
theorem volume_pi_Ioc_toReal {a b : ι → ℝ} (h : a ≤ b) :
(volume (pi univ fun i => Ioc (a i) (b i))).toReal = ∏ i, (b i - a i) := by
simp only [volume_pi_Ioc, ENNReal.toReal_prod, ENNReal.toReal_ofReal (sub_nonneg.2 (h _))]
#align real.volume_pi_Ioc_to_real Real.volume_pi_Ioc_toReal
theorem volume_pi_Ico {a b : ι → ℝ} :
volume (pi univ fun i => Ico (a i) (b i)) = ∏ i, ENNReal.ofReal (b i - a i) :=
(measure_congr Measure.univ_pi_Ico_ae_eq_Icc).trans volume_Icc_pi
#align real.volume_pi_Ico Real.volume_pi_Ico
@[simp]
theorem volume_pi_Ico_toReal {a b : ι → ℝ} (h : a ≤ b) :
(volume (pi univ fun i => Ico (a i) (b i))).toReal = ∏ i, (b i - a i) := by
simp only [volume_pi_Ico, ENNReal.toReal_prod, ENNReal.toReal_ofReal (sub_nonneg.2 (h _))]
#align real.volume_pi_Ico_to_real Real.volume_pi_Ico_toReal
@[simp]
nonrec theorem volume_pi_ball (a : ι → ℝ) {r : ℝ} (hr : 0 < r) :
volume (Metric.ball a r) = ENNReal.ofReal ((2 * r) ^ Fintype.card ι) := by
simp only [MeasureTheory.volume_pi_ball a hr, volume_ball, Finset.prod_const]
exact (ENNReal.ofReal_pow (mul_nonneg zero_le_two hr.le) _).symm
#align real.volume_pi_ball Real.volume_pi_ball
@[simp]
nonrec theorem volume_pi_closedBall (a : ι → ℝ) {r : ℝ} (hr : 0 ≤ r) :
volume (Metric.closedBall a r) = ENNReal.ofReal ((2 * r) ^ Fintype.card ι) := by
simp only [MeasureTheory.volume_pi_closedBall a hr, volume_closedBall, Finset.prod_const]
exact (ENNReal.ofReal_pow (mul_nonneg zero_le_two hr) _).symm
#align real.volume_pi_closed_ball Real.volume_pi_closedBall
theorem volume_pi_le_prod_diam (s : Set (ι → ℝ)) :
volume s ≤ ∏ i : ι, EMetric.diam (Function.eval i '' s) :=
calc
volume s ≤ volume (pi univ fun i => closure (Function.eval i '' s)) :=
volume.mono <|
Subset.trans (subset_pi_eval_image univ s) <| pi_mono fun _ _ => subset_closure
_ = ∏ i, volume (closure <| Function.eval i '' s) := volume_pi_pi _
_ ≤ ∏ i : ι, EMetric.diam (Function.eval i '' s) :=
Finset.prod_le_prod' fun _ _ => (volume_le_diam _).trans_eq (EMetric.diam_closure _)
#align real.volume_pi_le_prod_diam Real.volume_pi_le_prod_diam
theorem volume_pi_le_diam_pow (s : Set (ι → ℝ)) : volume s ≤ EMetric.diam s ^ Fintype.card ι :=
calc
volume s ≤ ∏ i : ι, EMetric.diam (Function.eval i '' s) := volume_pi_le_prod_diam s
_ ≤ ∏ _i : ι, (1 : ℝ≥0) * EMetric.diam s :=
(Finset.prod_le_prod' fun i _ => (LipschitzWith.eval i).ediam_image_le s)
_ = EMetric.diam s ^ Fintype.card ι := by
simp only [ENNReal.coe_one, one_mul, Finset.prod_const, Fintype.card]
#align real.volume_pi_le_diam_pow Real.volume_pi_le_diam_pow
| Mathlib/MeasureTheory/Measure/Lebesgue/Basic.lean | 295 | 305 | theorem smul_map_volume_mul_left {a : ℝ} (h : a ≠ 0) :
ENNReal.ofReal |a| • Measure.map (a * ·) volume = volume := by |
refine (Real.measure_ext_Ioo_rat fun p q => ?_).symm
cases' lt_or_gt_of_ne h with h h
· simp only [Real.volume_Ioo, Measure.smul_apply, ← ENNReal.ofReal_mul (le_of_lt <| neg_pos.2 h),
Measure.map_apply (measurable_const_mul a) measurableSet_Ioo, neg_sub_neg, neg_mul,
preimage_const_mul_Ioo_of_neg _ _ h, abs_of_neg h, mul_sub, smul_eq_mul,
mul_div_cancel₀ _ (ne_of_lt h)]
· simp only [Real.volume_Ioo, Measure.smul_apply, ← ENNReal.ofReal_mul (le_of_lt h),
Measure.map_apply (measurable_const_mul a) measurableSet_Ioo, preimage_const_mul_Ioo _ _ h,
abs_of_pos h, mul_sub, mul_div_cancel₀ _ (ne_of_gt h), smul_eq_mul]
|
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