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f5d6022d9b603ed2b6d5faea71aa670f9cfc6310 | 35677d2df3f081738fa6b08138e03ee36bc33cad | /src/category_theory/monad/limits.lean | 200af5a3187be03fcb188a626a00e059694cc6ab | [
"Apache-2.0"
] | permissive | gebner/mathlib | eab0150cc4f79ec45d2016a8c21750244a2e7ff0 | cc6a6edc397c55118df62831e23bfbd6e6c6b4ab | refs/heads/master | 1,625,574,853,976 | 1,586,712,827,000 | 1,586,712,827,000 | 99,101,412 | 1 | 0 | Apache-2.0 | 1,586,716,389,000 | 1,501,667,958,000 | Lean | UTF-8 | Lean | false | false | 9,184 | lean | /-
Copyright (c) 2019 Scott Morrison. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Scott MorrisoE
-/
import category_theory.monad.adjunction
import category_theory.adjunction.limits
namespace category_theory
open category
open category_theory.limits
universes v₁ v₂ u₁ u₂ -- declare the `v`'s first; see `category_theory.category` for an explanation
namespace monad
variables {C : Type u₁} [𝒞 : category.{v₁} C]
include 𝒞
variables {T : C ⥤ C} [monad.{v₁} T]
variables {J : Type v₁} [𝒥 : small_category J]
include 𝒥
namespace forget_creates_limits
variables (D : J ⥤ algebra T) [has_limit.{v₁} (D ⋙ forget T)]
@[simps] def γ : (D ⋙ forget T ⋙ T) ⟶ (D ⋙ forget T) := { app := λ j, (D.obj j).a }
@[simps] def c : cone (D ⋙ forget T) :=
{ X := T.obj (limit (D ⋙ forget T)),
π := (functor.const_comp _ _ T).inv ≫ whisker_right (limit.cone (D ⋙ forget T)).π T ≫ (γ D) }
@[simps] def cone_point (D : J ⥤ algebra T) [has_limit.{v₁} (D ⋙ forget T)] : algebra T :=
{ A := limit (D ⋙ forget T),
a := limit.lift _ (c D),
unit' :=
begin
ext1,
rw [category.assoc, limit.lift_π],
dsimp,
erw [id_comp, ←category.assoc, ←nat_trans.naturality,
id_comp, category.assoc, algebra.unit, comp_id],
refl,
end,
assoc' :=
begin
ext1,
dsimp,
simp only [limit.lift_π, γ_app, c_π, limit.cone_π, functor.const_comp, whisker_right_app,
nat_trans.comp_app, category.assoc],
dsimp,
simp only [id_comp],
conv { to_rhs,
rw [←category.assoc, ←T.map_comp, limit.lift_π],
dsimp [c],
rw [id_comp], },
conv { to_lhs,
rw [←category.assoc, ←nat_trans.naturality, category.assoc],
erw [algebra.assoc (D.obj j), ←category.assoc, ←T.map_comp], },
end }
end forget_creates_limits
-- Theorem 5.6.5 from [Riehl][riehl2017]
/-- The forgetful functor from the Eilenberg-Moore category creates limits. -/
def forget_creates_limits (D : J ⥤ algebra T) [has_limit (D ⋙ forget T)] : has_limit D :=
{ cone :=
{ X := forget_creates_limits.cone_point D,
π :=
{ app := λ j, { f := limit.π (D ⋙ forget T) j },
naturality' := λ X Y f, by { ext, dsimp, erw [id_comp, limit.w] } } },
is_limit :=
{ lift := λ s,
{ f := limit.lift _ ((forget T).map_cone s),
h' :=
begin
ext, dsimp,
simp only [limit.lift_π, limit.cone_π, forget_map, id_comp, functor.const_comp,
whisker_right_app, nat_trans.comp_app, category.assoc, functor.map_cone_π],
dsimp,
rw [id_comp, ←category.assoc, ←T.map_comp],
simp only [limit.lift_π, monad.forget_map, algebra.hom.h, functor.map_cone_π],
end },
uniq' := λ s m w, by { ext1, ext1, simpa using congr_arg algebra.hom.f (w j) } } }
namespace forget_creates_colimits
-- Let's hide the implementation details in a namespace
variables (D : J ⥤ algebra T)
-- We have a diagram D of shape J in the category of algebras, and we assume that its image
-- D ⋙ forget T under the forgetful functor has a colimit (written L).
-- We'll construct a colimiting coalgebra for D, whose carrier will also be L.
-- To do this, we must find a map TL ⟶ L. Since T preserves colimits, TL is also a colimit.
-- In particular, it is a colimit for the diagram `(D ⋙ forget T) ⋙ T`
-- so to construct a map TL ⟶ L it suffices to show that L is the apex of a cocone for this diagram.
-- In other words, we need a natural transformation from const L to `(D ⋙ forget T) ⋙ T`.
-- But we already know that L is the apex of a cocone for the diagram `D ⋙ forget T`, so it
-- suffices to give a natural transformation `((D ⋙ forget T) ⋙ T) ⟶ (D ⋙ forget T)`:
/--
The natural transformation given by the algebra structure maps, used to construct a cocone `c` with
apex `colimit (D ⋙ forget T)`.
-/
@[simps] def γ : ((D ⋙ forget T) ⋙ T) ⟶ (D ⋙ forget T) := { app := λ j, (D.obj j).a }
variable [has_colimit.{v₁} (D ⋙ forget T)]
/--
A cocone for the diagram `(D ⋙ forget T) ⋙ T` found by composing the natural transformation `γ`
with the colimiting cocone for `D ⋙ forget T`.
-/
@[simps]
def c : cocone ((D ⋙ forget T) ⋙ T) :=
{ X := colimit (D ⋙ forget T),
ι := γ D ≫ (colimit.cocone (D ⋙ forget T)).ι }
variable [preserves_colimits_of_shape J T]
/--
Define the map `λ : TL ⟶ L`, which will serve as the structure of the coalgebra on `L`, and
we will show is the colimiting object. We use the cocone constructed by `c` and the fact that
`T` preserves colimits to produce this morphism.
-/
@[reducible]
def lambda : (functor.map_cocone T (colimit.cocone (D ⋙ forget T))).X ⟶ colimit (D ⋙ forget T) :=
(preserves_colimit.preserves (colimit.is_colimit (D ⋙ forget T))).desc (c D)
/-- The key property defining the map `λ : TL ⟶ L`. -/
lemma commuting (j : J) :
T.map (colimit.ι (D ⋙ forget T) j) ≫ lambda D = (D.obj j).a ≫ colimit.ι (D ⋙ forget T) j :=
is_colimit.fac (preserves_colimit.preserves (colimit.is_colimit (D ⋙ forget T))) (c D) j
/--
Construct the colimiting algebra from the map `λ : TL ⟶ L` given by `lambda`. We are required to
show it satisfies the two algebra laws, which follow from the algebra laws for the image of `D` and
our `commuting` lemma.
-/
@[simps] def cocone_point :
algebra T :=
{ A := colimit (D ⋙ forget T),
a := lambda D,
unit' :=
begin
ext1,
erw [comp_id, ← category.assoc, (η_ T).naturality, category.assoc, commuting, ← category.assoc],
erw algebra.unit, apply id_comp
end,
assoc' :=
begin
apply is_colimit.hom_ext (preserves_colimit.preserves (preserves_colimit.preserves (colimit.is_colimit (D ⋙ forget T)))),
intro j,
erw [← category.assoc, nat_trans.naturality (μ_ T), ← functor.map_cocone_ι, category.assoc,
is_colimit.fac _ (c D) j],
rw ← category.assoc,
erw [← functor.map_comp, commuting],
dsimp,
erw [← category.assoc, algebra.assoc, category.assoc, functor.map_comp, category.assoc, commuting],
apply_instance, apply_instance
end
}
end forget_creates_colimits
-- TODO: the converse of this is true as well
-- TODO: generalise to monadic functors, as for creating limits
/--
The forgetful functor from the Eilenberg-Moore category for a monad creates any colimit
which the monad itself preserves.
The colimiting algebra itself has been constructed in `cocone_point`. We now must show it
actually forms a cocone, and that this is colimiting.
-/
def forget_creates_colimits_of_monad_preserves
[preserves_colimits_of_shape J T] (D : J ⥤ algebra T) [has_colimit (D ⋙ forget T)] :
has_colimit D :=
{ cocone :=
{ X := forget_creates_colimits.cocone_point D,
ι :=
{ app := λ j, { f := colimit.ι (D ⋙ forget T) j,
h' := forget_creates_colimits.commuting _ _ },
naturality' := λ A B f, by { ext1, dsimp, erw [comp_id, colimit.w (D ⋙ forget T)] } } },
is_colimit :=
{ desc := λ s,
{ f := colimit.desc _ ((forget T).map_cocone s),
h' :=
begin
dsimp,
apply is_colimit.hom_ext (preserves_colimit.preserves (colimit.is_colimit (D ⋙ forget T))),
intro j,
rw ← category.assoc, erw ← functor.map_comp,
erw colimit.ι_desc,
rw ← category.assoc, erw forget_creates_colimits.commuting,
rw category.assoc, rw colimit.ι_desc,
apply algebra.hom.h,
apply_instance
end },
uniq' := λ s m J, by { ext1, ext1, simpa using congr_arg algebra.hom.f (J j) }
}
}
end monad
variables {C : Type u₁} [𝒞 : category.{v₁} C] {D : Type u₁} [𝒟 : category.{v₁} D]
include 𝒞 𝒟
variables {J : Type v₁} [𝒥 : small_category J]
include 𝒥
instance comp_comparison_forget_has_limit
(F : J ⥤ D) (R : D ⥤ C) [monadic_right_adjoint R] [has_limit.{v₁} (F ⋙ R)] :
has_limit ((F ⋙ monad.comparison R) ⋙ monad.forget ((left_adjoint R) ⋙ R)) :=
(@has_limit_of_iso _ _ _ _ (F ⋙ R) _ _ (iso_whisker_left F (monad.comparison_forget R).symm))
instance comp_comparison_has_limit
(F : J ⥤ D) (R : D ⥤ C) [monadic_right_adjoint R] [has_limit.{v₁} (F ⋙ R)] :
has_limit (F ⋙ monad.comparison R) :=
monad.forget_creates_limits (F ⋙ monad.comparison R)
/-- Any monadic functor creates limits. -/
def monadic_creates_limits (F : J ⥤ D) (R : D ⥤ C) [monadic_right_adjoint R] [has_limit.{v₁} (F ⋙ R)] :
has_limit F :=
adjunction.has_limit_of_comp_equivalence _ (monad.comparison R)
omit 𝒥
section
def has_limits_of_reflective (R : D ⥤ C) [has_limits.{v₁} C] [reflective R] : has_limits.{v₁} D :=
{ has_limits_of_shape := λ J 𝒥, by exactI
{ has_limit := λ F, monadic_creates_limits F R } }
local attribute [instance] has_limits_of_reflective
include 𝒥
-- We verify that, even jumping through these monadic hoops,
-- the limit is actually calculated in the obvious way:
example (R : D ⥤ C) [reflective R] [has_limits.{v₁} C] (F : J ⥤ D) :
limit F = (left_adjoint R).obj (limit (F ⋙ R)) := rfl
end
end category_theory
|
fb8faa59c5e5283f6e659ade41ba81b6e3d34b75 | 9dc8cecdf3c4634764a18254e94d43da07142918 | /src/data/list/pairwise.lean | 3c421fadda14c6aef51963cbbb9ed857525981ef | [
"Apache-2.0"
] | permissive | jcommelin/mathlib | d8456447c36c176e14d96d9e76f39841f69d2d9b | ee8279351a2e434c2852345c51b728d22af5a156 | refs/heads/master | 1,664,782,136,488 | 1,663,638,983,000 | 1,663,638,983,000 | 132,563,656 | 0 | 0 | Apache-2.0 | 1,663,599,929,000 | 1,525,760,539,000 | Lean | UTF-8 | Lean | false | false | 18,226 | lean | /-
Copyright (c) 2018 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro
-/
import data.list.count
import data.list.lex
import data.list.sublists
import data.set.pairwise
/-!
# Pairwise relations on a list
This file provides basic results about `list.pairwise` and `list.pw_filter` (definitions are in
`data.list.defs`).
`pairwise r [a 0, ..., a (n - 1)]` means `∀ i j, i < j → r (a i) (a j)`. For example,
`pairwise (≠) l` means that all elements of `l` are distinct, and `pairwise (<) l` means that `l`
is strictly increasing.
`pw_filter r l` is the list obtained by iteratively adding each element of `l` that doesn't break
the pairwiseness of the list we have so far. It thus yields `l'` a maximal sublist of `l` such that
`pairwise r l'`.
## Tags
sorted, nodup
-/
open nat function
namespace list
variables {α β : Type*} {R S T: α → α → Prop} {a : α} {l : list α}
mk_iff_of_inductive_prop list.pairwise list.pairwise_iff
/-! ### Pairwise -/
lemma rel_of_pairwise_cons (p : (a :: l).pairwise R) : ∀ {a'}, a' ∈ l → R a a' :=
(pairwise_cons.1 p).1
lemma 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
| (a :: l) h := h.of_cons
theorem pairwise.drop : ∀ {l : list α} {n : ℕ}, list.pairwise R l → list.pairwise R (l.drop n)
| _ 0 h := h
| [] (n + 1) h := list.pairwise.nil
| (a :: l) (n + 1) h := pairwise.drop (pairwise_cons.mp h).right
theorem pairwise.imp_of_mem {S : α → α → Prop} {l : list α}
(H : ∀ {a b}, a ∈ l → b ∈ l → R a b → S a b) (p : pairwise R l) : pairwise S l :=
begin
induction p with a l r p IH generalizing H; constructor,
{ exact ball.imp_right
(λ x h, H (mem_cons_self _ _) (mem_cons_of_mem _ h)) r },
{ exact IH (λ a b m m', H
(mem_cons_of_mem _ m) (mem_cons_of_mem _ m')) }
end
lemma pairwise.imp (H : ∀ a b, R a b → S a b) : pairwise R l → pairwise S l :=
pairwise.imp_of_mem (λ a b _ _, H a b)
lemma pairwise_and_iff : l.pairwise (λ a b, R a b ∧ S a b) ↔ l.pairwise R ∧ l.pairwise S :=
⟨λ h, ⟨h.imp (λ a b h, h.1), h.imp (λ a b h, h.2)⟩,
λ ⟨hR, hS⟩, begin
clear_, induction hR with a l R1 R2 IH;
simp only [pairwise.nil, pairwise_cons] at *,
exact ⟨λ b bl, ⟨R1 b bl, hS.1 b bl⟩, IH hS.2⟩
end⟩
lemma pairwise.and (hR : l.pairwise R) (hS : l.pairwise S) : l.pairwise (λ a b, R a b ∧ S a b) :=
pairwise_and_iff.2 ⟨hR, hS⟩
lemma pairwise.imp₂ (H : ∀ a b, R a b → S a b → T a b) (hR : l.pairwise R) (hS : l.pairwise S) :
l.pairwise T :=
(hR.and hS).imp $ λ a b, and.rec (H a b)
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 (λ a b m m', (H m m').1),
pairwise.imp_of_mem (λ a b 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 (λ a b _ _, H a b)
theorem pairwise_of_forall {l : list α} (H : ∀ x y, R x y) : pairwise R l :=
by induction l; [exact pairwise.nil,
simp only [*, pairwise_cons, forall_2_true_iff, and_true]]
theorem pairwise.and_mem {l : list α} :
pairwise R l ↔ pairwise (λ x y, x ∈ l ∧ y ∈ l ∧ R x y) l :=
pairwise.iff_of_mem (by simp only [true_and, iff_self, forall_2_true_iff] {contextual := tt})
theorem pairwise.imp_mem {l : list α} :
pairwise R l ↔ pairwise (λ x y, x ∈ l → y ∈ l → R x y) l :=
pairwise.iff_of_mem
(by simp only [forall_prop_of_true, iff_self, forall_2_true_iff] {contextual := tt})
protected lemma pairwise.sublist : Π {l₁ l₂ : list α}, l₁ <+ l₂ → pairwise R l₂ → pairwise R l₁
| ._ ._ sublist.slnil h := h
| ._ ._ (sublist.cons l₁ l₂ a s) (pairwise.cons i h) := h.sublist s
| ._ ._ (sublist.cons2 l₁ l₂ a s) (pairwise.cons i h) :=
(h.sublist s).cons (ball.imp_left s.subset i)
lemma pairwise.forall_of_forall_of_flip (h₁ : ∀ x ∈ l, R x x) (h₂ : l.pairwise R)
(h₃ : l.pairwise (flip R)) :
∀ ⦃x⦄, x ∈ l → ∀ ⦃y⦄, y ∈ l → R x y :=
begin
induction l with a l ih,
{ exact forall_mem_nil _ },
rw pairwise_cons at h₂ h₃,
rintro x (rfl | hx) y (rfl | hy),
{ exact h₁ _ (l.mem_cons_self _) },
{ exact h₂.1 _ hy },
{ exact h₃.1 _ hx },
{ exact ih (λ x hx, h₁ _ $ mem_cons_of_mem _ hx) h₂.2 h₃.2 hx hy }
end
lemma pairwise.forall_of_forall (H : symmetric R) (H₁ : ∀ x ∈ l, R x x) (H₂ : l.pairwise R) :
∀ ⦃x⦄, x ∈ l → ∀ ⦃y⦄, y ∈ l → R x y :=
H₂.forall_of_forall_of_flip H₁ $ by rwa H.flip_eq
lemma pairwise.forall (hR : symmetric R) (hl : l.pairwise R) :
∀ ⦃a⦄, a ∈ l → ∀ ⦃b⦄, b ∈ l → a ≠ b → R a b :=
pairwise.forall_of_forall
(λ a b h hne, hR (h hne.symm))
(λ _ _ h, (h rfl).elim)
(hl.imp $ λ _ _ h _, h)
lemma pairwise.set_pairwise (hl : pairwise R l) (hr : symmetric R) : {x | x ∈ l}.pairwise R :=
hl.forall hr
theorem pairwise_singleton (R) (a : α) : pairwise R [a] :=
by simp only [pairwise_cons, mem_singleton, forall_prop_of_false (not_mem_nil _), forall_true_iff,
pairwise.nil, and_true]
theorem pairwise_pair {a b : α} : pairwise R [a, b] ↔ R a b :=
by simp only [pairwise_cons, mem_singleton, forall_eq, forall_prop_of_false (not_mem_nil _),
forall_true_iff, pairwise.nil, and_true]
theorem pairwise_append {l₁ l₂ : list α} : pairwise R (l₁++l₂) ↔
pairwise R l₁ ∧ pairwise R l₂ ∧ ∀ x ∈ l₁, ∀ y ∈ l₂, R x y :=
by induction l₁ with x l₁ IH; [simp only [list.pairwise.nil, forall_prop_of_false (not_mem_nil _),
forall_true_iff, and_true, true_and, nil_append],
simp only [cons_append, pairwise_cons, forall_mem_append, IH, forall_mem_cons, forall_and_distrib,
and_assoc, and.left_comm]]
theorem pairwise_append_comm (s : symmetric R) {l₁ l₂ : list α} :
pairwise R (l₁++l₂) ↔ pairwise R (l₂++l₁) :=
have ∀ l₁ l₂ : list α,
(∀ (x : α), x ∈ l₁ → ∀ (y : α), y ∈ l₂ → R x y) →
(∀ (x : α), x ∈ l₂ → ∀ (y : α), y ∈ l₁ → R x y),
from λ l₁ l₂ a x xm y ym, s (a y ym x xm),
by simp only [pairwise_append, and.left_comm]; rw iff.intro (this l₁ l₂) (this l₂ l₁)
theorem pairwise_middle (s : symmetric R) {a : α} {l₁ l₂ : list α} :
pairwise R (l₁ ++ a :: l₂) ↔ pairwise R (a :: (l₁++l₂)) :=
show pairwise R (l₁ ++ ([a] ++ l₂)) ↔ pairwise R ([a] ++ l₁ ++ l₂),
by rw [← append_assoc, pairwise_append, @pairwise_append _ _ ([a] ++ l₁), pairwise_append_comm s];
simp only [mem_append, or_comm]
theorem pairwise_map (f : β → α) :
∀ {l : list β}, pairwise R (map f l) ↔ pairwise (λ a b : β, R (f a) (f b)) l
| [] := by simp only [map, pairwise.nil]
| (b :: l) :=
have (∀ a b', b' ∈ l → f b' = a → R (f b) a) ↔ ∀ (b' : β), b' ∈ l → R (f b) (f b'), from
forall_swap.trans $ forall_congr $ λ a, forall_swap.trans $ by simp only [forall_eq'],
by simp only [map, pairwise_cons, mem_map, exists_imp_distrib, and_imp, this, pairwise_map]
lemma 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 f).1 p).imp H
lemma 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 f).2 $ p.imp H
theorem pairwise_filter_map (f : β → option α) {l : list β} :
pairwise R (filter_map f l) ↔ pairwise (λ a a' : β, ∀ (b ∈ f a) (b' ∈ f a'), R b b') l :=
let S (a a' : β) := ∀ (b ∈ f a) (b' ∈ f a'), R b b' in
begin
simp only [option.mem_def], induction l with a l IH,
{ simp only [filter_map, pairwise.nil] },
cases e : f a with b,
{ rw [filter_map_cons_none _ _ e, IH, pairwise_cons],
simp only [e, forall_prop_of_false not_false, forall_3_true_iff, true_and] },
rw [filter_map_cons_some _ _ _ e],
simp only [pairwise_cons, mem_filter_map, exists_imp_distrib, and_imp, IH, e, forall_eq'],
show (∀ (a' : α) (x : β), x ∈ l → f x = some a' → R b a') ∧ pairwise S l ↔
(∀ (a' : β), a' ∈ l → ∀ (b' : α), f a' = some b' → R b b') ∧ pairwise S l,
from and_congr ⟨λ h b mb a ma, h a b mb ma, λ h a b mb ma, h b mb a ma⟩ iff.rfl
end
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 (filter_map f l) :=
(pairwise_filter_map _).2 $ p.imp H
theorem pairwise_filter (p : α → Prop) [decidable_pred p] {l : list α} :
pairwise R (filter p l) ↔ pairwise (λ x y, p x → p y → R x y) l :=
begin
rw [← filter_map_eq_filter, pairwise_filter_map],
apply pairwise.iff, intros, simp only [option.mem_def, option.guard_eq_some, and_imp, forall_eq'],
end
lemma pairwise.filter (p : α → Prop) [decidable_pred p] : pairwise R l → pairwise R (filter p l) :=
pairwise.sublist (filter_sublist _)
theorem pairwise_pmap {p : β → Prop} {f : Π b, p b → α} {l : list β} (h : ∀ x ∈ l, p x) :
pairwise R (l.pmap f h) ↔
pairwise (λ b₁ b₂, ∀ (h₁ : p b₁) (h₂ : p b₂), R (f b₁ h₁) (f b₂ h₂)) l :=
begin
induction l with a l ihl, { simp },
obtain ⟨ha, hl⟩ : p a ∧ ∀ b, b ∈ l → p b, by simpa using h,
simp only [ihl hl, pairwise_cons, bex_imp_distrib, pmap, and.congr_left_iff, mem_pmap],
refine λ _, ⟨λ H b hb hpa hpb, H _ _ hb rfl, _⟩,
rintro H _ b hb rfl,
exact H b hb _ _
end
theorem pairwise.pmap {l : list α} (hl : pairwise R l)
{p : α → Prop} {f : Π a, p a → β} (h : ∀ x ∈ l, p x) {S : β → β → Prop}
(hS : ∀ ⦃x⦄ (hx : p x) ⦃y⦄ (hy : p y), R x y → S (f x hx) (f y hy)) :
pairwise S (l.pmap f h) :=
begin
refine (pairwise_pmap h).2 (pairwise.imp_of_mem _ hl),
intros, apply hS, assumption
end
theorem pairwise_join {L : list (list α)} : pairwise R (join L) ↔
(∀ l ∈ L, pairwise R l) ∧ pairwise (λ l₁ l₂, ∀ (x ∈ l₁) (y ∈ l₂), R x y) L :=
begin
induction L with l L IH,
{simp only [join, pairwise.nil, forall_prop_of_false (not_mem_nil _), forall_const, and_self]},
have : (∀ (x : α), x ∈ l → ∀ (y : α) (x_1 : list α), x_1 ∈ L → y ∈ x_1 → R x y) ↔
∀ (a' : list α), a' ∈ L → ∀ (x : α), x ∈ l → ∀ (y : α), y ∈ a' → R x y :=
⟨λ h a b c d e, h c d e a b, λ h c d e a b, h a b c d e⟩,
simp only [join, pairwise_append, IH, mem_join, exists_imp_distrib, and_imp, this,
forall_mem_cons, pairwise_cons],
simp only [and_assoc, and_comm, and.left_comm],
end
lemma 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 (λ a₁ a₂, ∀ (x ∈ f a₁) (y ∈ f a₂), R x y) l :=
by simp [list.bind, list.pairwise_join, list.mem_map, list.pairwise_map]
@[simp] theorem pairwise_reverse : ∀ {R} {l : list α},
pairwise R (reverse l) ↔ pairwise (λ x y, R y x) l :=
suffices ∀ {R l}, @pairwise α R l → pairwise (λ x y, R y x) (reverse l),
from λ R l, ⟨λ p, reverse_reverse l ▸ this p, this⟩,
λ R l p, by induction p with a l h p IH;
[apply pairwise.nil, simpa only [reverse_cons, pairwise_append, IH,
pairwise_cons, forall_prop_of_false (not_mem_nil _), forall_true_iff,
pairwise.nil, mem_reverse, mem_singleton, forall_eq, true_and] using h]
lemma pairwise_of_reflexive_on_dupl_of_forall_ne [decidable_eq 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 :=
begin
induction l with hd tl IH,
{ simp },
{ rw list.pairwise_cons,
split,
{ intros x hx,
by_cases H : hd = x,
{ rw H,
refine hr _ _,
simpa [count_cons, H, nat.succ_lt_succ_iff, count_pos] using hx },
{ exact h hd (mem_cons_self _ _) x (mem_cons_of_mem _ hx) H } },
{ refine IH _ _,
{ intros x hx,
refine hr _ _,
rw count_cons,
split_ifs,
{ exact hx.trans (nat.lt_succ_self _) },
{ exact hx } },
{ intros x hx y hy,
exact h x (mem_cons_of_mem _ hx) y (mem_cons_of_mem _ hy) } } }
end
lemma pairwise_of_forall_mem_list {l : list α} {r : α → α → Prop} (h : ∀ (a ∈ l) (b ∈ l), r a b) :
l.pairwise r :=
begin
classical,
refine pairwise_of_reflexive_on_dupl_of_forall_ne (λ a ha', _) (λ a ha b hb _, h a ha b hb),
have ha := list.one_le_count_iff_mem.1 ha'.le,
exact h a ha a ha
end
lemma pairwise_of_reflexive_of_forall_ne {l : list α} {r : α → α → Prop}
(hr : reflexive r) (h : ∀ (a ∈ l) (b ∈ l), a ≠ b → r a b) : l.pairwise r :=
by { classical, exact pairwise_of_reflexive_on_dupl_of_forall_ne (λ _ _, hr _) h }
theorem pairwise_iff_nth_le {R} : ∀ {l : list α},
pairwise R l ↔ ∀ i j (h₁ : j < length l) (h₂ : i < j),
R (nth_le l i (lt_trans h₂ h₁)) (nth_le l j h₁)
| [] := by simp only [pairwise.nil, true_iff]; exact λ i j h, (nat.not_lt_zero j).elim h
| (a :: l) := begin
rw [pairwise_cons, pairwise_iff_nth_le],
refine ⟨λ H i j h₁ h₂, _, λ H, ⟨λ a' m, _,
λ i j h₁ h₂, H _ _ (succ_lt_succ h₁) (succ_lt_succ h₂)⟩⟩,
{ cases j with j, {exact (nat.not_lt_zero _).elim h₂},
cases i with i,
{ exact H.1 _ (nth_le_mem l _ _) },
{ exact H.2 _ _ (lt_of_succ_lt_succ h₁) (lt_of_succ_lt_succ h₂) } },
{ rcases nth_le_of_mem m with ⟨n, h, rfl⟩,
exact H _ _ (succ_lt_succ h) (succ_pos _) }
end
theorem pairwise.sublists' {R} : ∀ {l : list α}, pairwise R l →
pairwise (lex (swap R)) (sublists' l)
| _ pairwise.nil := pairwise_singleton _ _
| _ (@pairwise.cons _ _ a l H₁ H₂) :=
begin
simp only [sublists'_cons, pairwise_append, pairwise_map, mem_sublists', mem_map,
exists_imp_distrib, and_imp],
refine ⟨H₂.sublists', H₂.sublists'.imp (λ l₁ l₂, lex.cons), _⟩,
rintro l₁ sl₁ x l₂ sl₂ rfl,
cases l₁ with b l₁, {constructor},
exact lex.rel (H₁ _ $ sl₁.subset $ mem_cons_self _ _)
end
theorem pairwise_sublists {R} {l : list α} (H : pairwise R l) :
pairwise (λ l₁ l₂, lex R (reverse l₁) (reverse l₂)) (sublists l) :=
by { have := (pairwise_reverse.2 H).sublists', rwa [sublists'_reverse, pairwise_map] at this }
lemma pairwise_repeat {α : Type*} {r : α → α → Prop} {x : α} (hx : r x x) :
∀ (n : ℕ), pairwise r (repeat x n)
| 0 := by simp
| (n+1) := by simp [hx, mem_repeat, pairwise_repeat n]
/-! ### Pairwise filtering -/
variable [decidable_rel R]
@[simp] theorem pw_filter_nil : pw_filter R [] = [] := rfl
@[simp] theorem pw_filter_cons_of_pos {a : α} {l : list α} (h : ∀ b ∈ pw_filter R l, R a b) :
pw_filter R (a :: l) = a :: pw_filter R l := if_pos h
@[simp] theorem pw_filter_cons_of_neg {a : α} {l : list α} (h : ¬ ∀ b ∈ pw_filter R l, R a b) :
pw_filter R (a :: l) = pw_filter R l := if_neg h
theorem pw_filter_map (f : β → α) :
Π (l : list β), pw_filter R (map f l) = map f (pw_filter (λ x y, R (f x) (f y)) l)
| [] := rfl
| (x :: xs) :=
if h : ∀ b ∈ pw_filter R (map f xs), R (f x) b
then have h' : ∀ (b : β), b ∈ pw_filter (λ (x y : β), R (f x) (f y)) xs → R (f x) (f b),
from λ b hb, h _ (by rw [pw_filter_map]; apply mem_map_of_mem _ hb),
by rw [map,pw_filter_cons_of_pos h,pw_filter_cons_of_pos h',pw_filter_map,map]
else have h' : ¬∀ (b : β), b ∈ pw_filter (λ (x y : β), R (f x) (f y)) xs → R (f x) (f b),
from λ hh, h $ λ a ha,
by { rw [pw_filter_map,mem_map] at ha, rcases ha with ⟨b,hb₀,hb₁⟩,
subst a, exact hh _ hb₀, },
by rw [map,pw_filter_cons_of_neg h,pw_filter_cons_of_neg h',pw_filter_map]
theorem pw_filter_sublist : ∀ (l : list α), pw_filter R l <+ l
| [] := nil_sublist _
| (x :: l) := begin
by_cases (∀ y ∈ pw_filter R l, R x y),
{ rw [pw_filter_cons_of_pos h],
exact (pw_filter_sublist l).cons_cons _ },
{ rw [pw_filter_cons_of_neg h],
exact sublist_cons_of_sublist _ (pw_filter_sublist l) },
end
theorem pw_filter_subset (l : list α) : pw_filter R l ⊆ l :=
(pw_filter_sublist _).subset
theorem pairwise_pw_filter : ∀ (l : list α), pairwise R (pw_filter R l)
| [] := pairwise.nil
| (x :: l) := begin
by_cases (∀ y ∈ pw_filter R l, R x y),
{ rw [pw_filter_cons_of_pos h],
exact pairwise_cons.2 ⟨h, pairwise_pw_filter l⟩ },
{ rw [pw_filter_cons_of_neg h],
exact pairwise_pw_filter l },
end
theorem pw_filter_eq_self {l : list α} : pw_filter R l = l ↔ pairwise R l :=
⟨λ e, e ▸ pairwise_pw_filter l, λ p, begin
induction l with x l IH, {refl},
cases pairwise_cons.1 p with al p,
rw [pw_filter_cons_of_pos (ball.imp_left (pw_filter_subset l) al), IH p],
end⟩
alias pw_filter_eq_self ↔ _ pairwise.pw_filter
attribute [protected] pairwise.pw_filter
@[simp] lemma pw_filter_idempotent : pw_filter R (pw_filter R l) = pw_filter R l :=
(pairwise_pw_filter l).pw_filter
theorem forall_mem_pw_filter (neg_trans : ∀ {x y z}, R x z → R x y ∨ R y z)
(a : α) (l : list α) : (∀ b ∈ pw_filter R l, R a b) ↔ (∀ b ∈ l, R a b) :=
⟨begin
induction l with x l IH, { exact λ _ _, false.elim },
simp only [forall_mem_cons],
by_cases (∀ y ∈ pw_filter R l, R x y); dsimp at h,
{ simp only [pw_filter_cons_of_pos h, forall_mem_cons, and_imp],
exact λ r H, ⟨r, IH H⟩ },
{ rw [pw_filter_cons_of_neg h],
refine λ H, ⟨_, IH H⟩,
cases e : find (λ y, ¬ R x y) (pw_filter R l) with k,
{ refine h.elim (ball.imp_right _ (find_eq_none.1 e)),
exact λ y _, not_not.1 },
{ have := find_some e,
exact (neg_trans (H k (find_mem e))).resolve_right this } }
end, ball.imp_left (pw_filter_subset l)⟩
end list
|
859021137dfc43340d68bd477c38cc71ad087349 | f3849be5d845a1cb97680f0bbbe03b85518312f0 | /library/init/meta/simp_tactic.lean | 074aa4def53faa7f57e407f65e859089ffa82c2c | [
"Apache-2.0"
] | permissive | bjoeris/lean | 0ed95125d762b17bfcb54dad1f9721f953f92eeb | 4e496b78d5e73545fa4f9a807155113d8e6b0561 | refs/heads/master | 1,611,251,218,281 | 1,495,337,658,000 | 1,495,337,658,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 18,661 | lean | /-
Copyright (c) 2016 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Leonardo de Moura
-/
prelude
import init.meta.tactic init.meta.attribute init.meta.constructor_tactic
import init.meta.relation_tactics init.meta.occurrences
import init.data.option.instances
open tactic
meta constant simp_lemmas : Type
meta constant simp_lemmas.mk : simp_lemmas
meta constant simp_lemmas.join : simp_lemmas → simp_lemmas → simp_lemmas
meta constant simp_lemmas.erase : simp_lemmas → list name → simp_lemmas
meta constant simp_lemmas.mk_default_core : transparency → tactic simp_lemmas
meta constant simp_lemmas.add_core : transparency → simp_lemmas → expr → tactic simp_lemmas
meta constant simp_lemmas.add_simp_core : transparency → simp_lemmas → name → tactic simp_lemmas
meta constant simp_lemmas.add_congr_core : transparency → simp_lemmas → name → tactic simp_lemmas
meta def simp_lemmas.mk_default : tactic simp_lemmas :=
simp_lemmas.mk_default_core reducible
meta def simp_lemmas.add : simp_lemmas → expr → tactic simp_lemmas :=
simp_lemmas.add_core reducible
meta def simp_lemmas.add_simp : simp_lemmas → name → tactic simp_lemmas :=
simp_lemmas.add_simp_core reducible
meta def simp_lemmas.add_congr : simp_lemmas → name → tactic simp_lemmas :=
simp_lemmas.add_congr_core reducible
meta def simp_lemmas.append : simp_lemmas → list expr → tactic simp_lemmas
| sls [] := return sls
| sls (l::ls) := do
new_sls ← simp_lemmas.add sls l,
simp_lemmas.append new_sls ls
/- (simp_lemmas.rewrite_core m s prove R e) apply a simplification lemma from 's'
- 'prove' is used to discharge proof obligations.
- 'R' is the equivalence relation being used (e.g., 'eq', 'iff')
- 'e' is the expression to be "simplified"
Result (new_e, pr) is the new expression 'new_e' and a proof (pr : e R new_e) -/
meta constant simp_lemmas.rewrite_core : transparency → simp_lemmas → tactic unit → name → expr → tactic (expr × expr)
meta def simp_lemmas.rewrite : simp_lemmas → tactic unit → name → expr → tactic (expr × expr) :=
simp_lemmas.rewrite_core reducible
/- (simp_lemmas.drewrite s e) tries to rewrite 'e' using only refl lemmas in 's' -/
meta constant simp_lemmas.drewrite_core : transparency → simp_lemmas → expr → tactic expr
meta def simp_lemmas.drewrite : simp_lemmas → expr → tactic expr :=
simp_lemmas.drewrite_core reducible
/- (Definitional) Simplify the given expression using *only* reflexivity equality lemmas from the given set of lemmas.
The resulting expression is definitionally equal to the input. -/
meta constant simp_lemmas.dsimplify_core (max_steps : nat) (visit_instances : bool) : simp_lemmas → expr → tactic expr
meta constant is_valid_simp_lemma_cnst : transparency → name → tactic bool
meta constant is_valid_simp_lemma : transparency → expr → tactic bool
def default_max_steps := 10000000
meta def simp_lemmas.dsimplify : simp_lemmas → expr → tactic expr :=
simp_lemmas.dsimplify_core default_max_steps ff
meta constant simp_lemmas.pp : simp_lemmas → tactic format
namespace tactic
/- (get_eqn_lemmas_for deps d) returns the automatically generated equational lemmas for definition d.
If deps is tt, then lemmas for automatically generated auxiliary declarations used to define d are also included. -/
meta constant get_eqn_lemmas_for : bool → name → tactic (list name)
meta constant dsimplify_core
/- The user state type. -/
{α : Type}
/- Initial user data -/
(a : α)
(max_steps : nat)
/- If visit_instances = ff, then instance implicit arguments are not visited, but
tactic will canonize them. -/
(visit_instances : bool)
/- (pre a e) is invoked before visiting the children of subterm 'e',
if it succeeds the result (new_a, new_e, flag) where
- 'new_a' is the new value for the user data
- 'new_e' is a new expression that must be definitionally equal to 'e',
- 'flag' if tt 'new_e' children should be visited, and 'post' invoked. -/
(pre : α → expr → tactic (α × expr × bool))
/- (post a e) is invoked after visiting the children of subterm 'e',
The output is similar to (pre a e), but the 'flag' indicates whether
the new expression should be revisited or not. -/
(post : α → expr → tactic (α × expr × bool))
: expr → tactic (α × expr)
meta def dsimplify
(pre : expr → tactic (expr × bool))
(post : expr → tactic (expr × bool))
: expr → tactic expr :=
λ e, do (a, new_e) ← dsimplify_core () default_max_steps ff
(λ u e, do r ← pre e, return (u, r))
(λ u e, do r ← post e, return (u, r)) e,
return new_e
meta constant dunfold_expr_core : transparency → expr → tactic expr
/- Remark: we use transparency.instances by default to make sure that we
can unfold projections of type classes. Example:
dunfold_expr (@has_add.add nat nat.has_add a b)
-/
meta def dunfold_expr : expr → tactic expr :=
dunfold_expr_core transparency.instances
meta constant unfold_projection_core : transparency → expr → tactic expr
meta def unfold_projection : expr → tactic expr :=
unfold_projection_core transparency.instances
meta def dunfold_occs_core (m : transparency) (max_steps : nat) (occs : occurrences) (cs : list name) (e : expr) : tactic expr :=
let unfold (c : nat) (e : expr) : tactic (nat × expr × bool) := do
guard (cs.any e.is_app_of),
new_e ← dunfold_expr_core m e,
if occs.contains c
then return (c+1, new_e, tt)
else return (c+1, e, tt)
in do (c, new_e) ← dsimplify_core 1 max_steps tt unfold (λ c e, failed) e,
return new_e
meta def dunfold_core (m : transparency) (max_steps : nat) (cs : list name) (e : expr) : tactic expr :=
let unfold (u : unit) (e : expr) : tactic (unit × expr × bool) := do
guard (cs.any e.is_app_of),
new_e ← dunfold_expr_core m e,
return (u, new_e, tt)
in do (c, new_e) ← dsimplify_core () max_steps tt (λ c e, failed) unfold e,
return new_e
meta def dunfold : list name → tactic unit :=
λ cs, target >>= dunfold_core transparency.instances default_max_steps cs >>= change
meta def dunfold_occs_of (occs : list nat) (c : name) : tactic unit :=
target >>= dunfold_occs_core transparency.instances default_max_steps (occurrences.pos occs) [c] >>= change
meta def dunfold_core_at (occs : occurrences) (cs : list name) (h : expr) : tactic unit :=
do num_reverted ← revert h,
(expr.pi n bi d b : expr) ← target,
new_d ← dunfold_occs_core transparency.instances default_max_steps occs cs d,
change $ expr.pi n bi new_d b,
intron num_reverted
meta def dunfold_at (cs : list name) (h : expr) : tactic unit :=
do num_reverted ← revert h,
(expr.pi n bi d b : expr) ← target,
new_d ← dunfold_core transparency.instances default_max_steps cs d,
change $ expr.pi n bi new_d b,
intron num_reverted
structure delta_config :=
(max_steps := default_max_steps)
(visit_instances := tt)
private meta def is_delta_target (e : expr) (cs : list name) : bool :=
cs.any (λ c,
if e.is_app_of c then tt /- Exact match -/
else let f := e.get_app_fn in
/- f is an auxiliary constant generated when compiling c -/
f.is_constant && f.const_name.is_internal && (f.const_name.get_prefix = c))
/- Delta reduce the given constant names -/
meta def delta_core (cfg : delta_config) (cs : list name) (e : expr) : tactic expr :=
let unfold (u : unit) (e : expr) : tactic (unit × expr × bool) := do
guard (is_delta_target e cs),
(expr.const f_name f_lvls) ← return e.get_app_fn,
env ← get_env,
decl ← env.get f_name,
new_f ← decl.instantiate_value_univ_params f_lvls,
new_e ← head_beta (expr.mk_app new_f e.get_app_args),
return (u, new_e, tt)
in do (c, new_e) ← dsimplify_core () cfg.max_steps cfg.visit_instances (λ c e, failed) unfold e,
return new_e
meta def delta (cs : list name) : tactic unit :=
target >>= delta_core {} cs >>= change
meta def delta_at (cs : list name) (h : expr) : tactic unit :=
do num_reverted ← revert h,
(expr.pi n bi d b : expr) ← target,
new_d ← delta_core {} cs d,
change $ expr.pi n bi new_d b,
intron num_reverted
structure simp_config :=
(max_steps : nat := default_max_steps)
(contextual : bool := ff)
(lift_eq : bool := tt)
(canonize_instances : bool := tt)
(canonize_proofs : bool := ff)
(use_axioms : bool := tt)
(zeta : bool := tt)
(beta : bool := tt)
(eta : bool := tt)
(proj : bool := tt) -- reduce projections
meta constant simplify_core
(c : simp_config)
(s : simp_lemmas)
(r : name) :
expr → tactic (expr × expr)
meta constant ext_simplify_core
/- The user state type. -/
{α : Type}
/- Initial user data -/
(a : α)
(c : simp_config)
/- Congruence and simplification lemmas.
Remark: the simplification lemmas at not applied automatically like in the simplify_core tactic.
the caller must use them at pre/post. -/
(s : simp_lemmas)
/- Tactic for dischaging hypothesis in conditional rewriting rules.
The argument 'α' is the current user state. -/
(prove : α → tactic α)
/- (pre a S r s p e) is invoked before visiting the children of subterm 'e',
'r' is the simplification relation being used, 's' is the updated set of lemmas if 'contextual' is tt,
'p' is the "parent" expression (if there is one).
if it succeeds the result is (new_a, new_e, new_pr, flag) where
- 'new_a' is the new value for the user data
- 'new_e' is a new expression s.t. 'e r new_e'
- 'new_pr' is a proof for 'e r new_e', If it is none, the proof is assumed to be by reflexivity
- 'flag' if tt 'new_e' children should be visited, and 'post' invoked. -/
(pre : α → simp_lemmas → name → option expr → expr → tactic (α × expr × option expr × bool))
/- (post a r s p e) is invoked after visiting the children of subterm 'e',
The output is similar to (pre a r s p e), but the 'flag' indicates whether
the new expression should be revisited or not. -/
(post : α → simp_lemmas → name → option expr → expr → tactic (α × expr × option expr × bool))
/- simplification relation -/
(r : name) :
expr → tactic (α × expr × expr)
meta def simplify (S : simp_lemmas) (e : expr) (cfg : simp_config := {}) : tactic (expr × expr) :=
do e_type ← infer_type e >>= whnf,
simplify_core cfg S `eq e
meta def replace_target (new_target : expr) (pr : expr) : tactic unit :=
do assert `htarget new_target, swap,
ht ← get_local `htarget,
mk_eq_mpr pr ht >>= exact
meta def simplify_goal (S : simp_lemmas) (cfg : simp_config := {}) : tactic unit :=
do t ← target,
(new_t, pr) ← simplify S t cfg,
replace_target new_t pr
meta def simp (cfg : simp_config := {}) : tactic unit :=
do S ← simp_lemmas.mk_default,
simplify_goal S cfg >> try triv >> try (reflexivity reducible)
meta def simp_using (hs : list expr) (cfg : simp_config := {}) : tactic unit :=
do S ← simp_lemmas.mk_default,
S ← S.append hs,
simplify_goal S cfg >> try triv
meta def dsimp_core (s : simp_lemmas) : tactic unit :=
target >>= s.dsimplify >>= change
meta def dsimp : tactic unit :=
simp_lemmas.mk_default >>= dsimp_core
meta def dsimp_at_core (s : simp_lemmas) (h : expr) : tactic unit :=
do num_reverted : ℕ ← revert h,
expr.pi n bi d b ← target,
h_simp ← s.dsimplify d,
change $ expr.pi n bi h_simp b,
intron num_reverted
meta def dsimp_at (h : expr) : tactic unit :=
do s ← simp_lemmas.mk_default, dsimp_at_core s h
private meta def is_equation : expr → bool
| (expr.pi n bi d b) := is_equation b
| e := match (expr.is_eq e) with (some a) := tt | none := ff end
private meta def collect_simps : list expr → tactic (list expr)
| [] := return []
| (h :: hs) := do
result ← collect_simps hs,
htype ← infer_type h >>= whnf,
if is_equation htype
then return (h :: result)
else do
pr ← is_prop htype,
return $ if pr then (h :: result) else result
meta def collect_ctx_simps : tactic (list expr) :=
local_context >>= collect_simps
/-- Simplify target using all hypotheses in the local context. -/
meta def simp_using_hs (cfg : simp_config := {}) : tactic unit :=
do es ← collect_ctx_simps, simp_using es cfg
meta def simph (cfg : simp_config := {}) :=
simp_using_hs cfg
meta def intro1_aux : bool → list name → tactic expr
| ff _ := intro1
| tt (n::ns) := intro n
| _ _ := failed
meta def simp_intro_aux (cfg : simp_config) (updt : bool) : simp_lemmas → bool → list name → tactic simp_lemmas
| S tt [] := try (simplify_goal S cfg) >> return S
| S use_ns ns := do
t ← target,
if t.is_napp_of `not 1 then
intro1_aux use_ns ns >> simp_intro_aux S use_ns ns.tail
else if t.is_arrow then
do {
d ← return t.binding_domain,
(new_d, h_d_eq_new_d) ← simplify S d cfg,
h_d ← intro1_aux use_ns ns,
h_new_d ← mk_eq_mp h_d_eq_new_d h_d,
assertv_core h_d.local_pp_name new_d h_new_d,
h_new ← intro1,
new_S ← if updt && is_equation new_d then S.add h_new else return S,
clear h_d,
simp_intro_aux new_S use_ns ns
}
<|>
-- failed to simplify... we just introduce and continue
(intro1_aux use_ns ns >> simp_intro_aux S use_ns ns.tail)
else if t.is_pi || t.is_let then
intro1_aux use_ns ns >> simp_intro_aux S use_ns ns.tail
else do
new_t ← whnf t reducible,
if new_t.is_pi then change new_t >> simp_intro_aux S use_ns ns
else
try (simplify_goal S cfg) >>
mcond (expr.is_pi <$> target)
(simp_intro_aux S use_ns ns)
(if use_ns ∧ ¬ns.empty then failed else return S)
meta def simp_intros_using (s : simp_lemmas) (cfg : simp_config := {}) : tactic unit :=
step $ simp_intro_aux cfg ff s ff []
meta def simph_intros_using (s : simp_lemmas) (cfg : simp_config := {}) : tactic unit :=
step $
do s ← collect_ctx_simps >>= s.append,
simp_intro_aux cfg tt s ff []
meta def simp_intro_lst_using (ns : list name) (s : simp_lemmas) (cfg : simp_config := {}) : tactic unit :=
step $ simp_intro_aux cfg ff s tt ns
meta def simph_intro_lst_using (ns : list name) (s : simp_lemmas) (cfg : simp_config := {}) : tactic unit :=
step $
do s ← collect_ctx_simps >>= s.append,
simp_intro_aux cfg tt s tt ns
meta def simp_at (h : expr) (extra_lemmas : list expr := []) (cfg : simp_config := {}) : tactic unit :=
do when (expr.is_local_constant h = ff) (fail "tactic simp_at failed, the given expression is not a hypothesis"),
htype ← infer_type h,
S ← simp_lemmas.mk_default,
S ← S.append extra_lemmas,
(new_htype, heq) ← simplify S htype cfg,
assert (expr.local_pp_name h) new_htype,
mk_eq_mp heq h >>= exact,
try $ clear h
meta def simp_at_using_hs (h : expr) (extra_lemmas : list expr := []) (cfg : simp_config := {}) : tactic unit :=
do hs ← collect_ctx_simps,
simp_at h (list.filter (≠ h) hs ++ extra_lemmas) cfg
meta def simph_at (h : expr) (extra_lemmas : list expr := []) (cfg : simp_config := {}) : tactic unit :=
simp_at_using_hs h extra_lemmas cfg
meta def mk_eq_simp_ext (simp_ext : expr → tactic (expr × expr)) : tactic unit :=
do (lhs, rhs) ← target >>= match_eq,
(new_rhs, heq) ← simp_ext lhs,
unify rhs new_rhs,
exact heq
/- Simp attribute support -/
meta def to_simp_lemmas : simp_lemmas → list name → tactic simp_lemmas
| S [] := return S
| S (n::ns) := do S' ← S.add_simp n, to_simp_lemmas S' ns
meta def mk_simp_attr (attr_name : name) : command :=
do let t := `(caching_user_attribute simp_lemmas),
let v := `({name := attr_name,
descr := "simplifier attribute",
mk_cache := λ ns, do {tactic.to_simp_lemmas simp_lemmas.mk ns},
dependencies := [`reducibility] } : caching_user_attribute simp_lemmas),
add_decl (declaration.defn attr_name [] t v reducibility_hints.abbrev ff),
attribute.register attr_name
meta def get_user_simp_lemmas (attr_name : name) : tactic simp_lemmas :=
if attr_name = `default then simp_lemmas.mk_default
else do
cnst ← return (expr.const attr_name []),
attr ← eval_expr (caching_user_attribute simp_lemmas) cnst,
caching_user_attribute.get_cache attr
meta def join_user_simp_lemmas_core : simp_lemmas → list name → tactic simp_lemmas
| S [] := return S
| S (attr_name::R) := do S' ← get_user_simp_lemmas attr_name, join_user_simp_lemmas_core (S.join S') R
meta def join_user_simp_lemmas : list name → tactic simp_lemmas
| [] := simp_lemmas.mk_default
| attr_names := join_user_simp_lemmas_core simp_lemmas.mk attr_names
/- Normalize numerical expression, returns a pair (n, pr) where n is the resultant numeral,
and pr is a proof that the input argument is equal to n. -/
meta constant norm_num : expr → tactic (expr × expr)
meta def simplify_top_down {α} (a : α) (pre : α → expr → tactic (α × expr × expr)) (e : expr) (cfg : simp_config := {}) : tactic (α × expr × expr) :=
ext_simplify_core a cfg simp_lemmas.mk (λ _, failed)
(λ a _ _ _ e, do (new_a, new_e, pr) ← pre a e, guard (¬ new_e =ₐ e), return (new_a, new_e, some pr, tt))
(λ _ _ _ _ _, failed)
`eq e
meta def simp_top_down (pre : expr → tactic (expr × expr)) (cfg : simp_config := {}) : tactic unit :=
do t ← target,
(_, new_target, pr) ← simplify_top_down () (λ _ e, do (new_e, pr) ← pre e, return ((), new_e, pr)) t cfg,
replace_target new_target pr
meta def simplify_bottom_up {α} (a : α) (post : α → expr → tactic (α × expr × expr)) (e : expr) (cfg : simp_config := {}) : tactic (α × expr × expr) :=
ext_simplify_core a cfg simp_lemmas.mk (λ _, failed)
(λ _ _ _ _ _, failed)
(λ a _ _ _ e, do (new_a, new_e, pr) ← post a e, guard (¬ new_e =ₐ e), return (new_a, new_e, some pr, tt))
`eq e
meta def simp_bottom_up (post : expr → tactic (expr × expr)) (cfg : simp_config := {}) : tactic unit :=
do t ← target,
(_, new_target, pr) ← simplify_bottom_up () (λ _ e, do (new_e, pr) ← post e, return ((), new_e, pr)) t cfg,
replace_target new_target pr
/- debugging support for algebraic normalizer -/
meta constant trace_algebra_info : expr → tactic unit
end tactic
export tactic (mk_simp_attr)
|
42ec7b0d70e4f01214f1d21fbee7edcb2b040991 | a4673261e60b025e2c8c825dfa4ab9108246c32e | /stage0/src/Lean/Meta/Instances.lean | 8cef2d283a1f7178f7f83761be63463c2f20c85a | [
"Apache-2.0"
] | permissive | jcommelin/lean4 | c02dec0cc32c4bccab009285475f265f17d73228 | 2909313475588cc20ac0436e55548a4502050d0a | refs/heads/master | 1,674,129,550,893 | 1,606,415,348,000 | 1,606,415,348,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 4,911 | lean | /-
Copyright (c) 2019 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Leonardo de Moura
-/
import Lean.Meta.DiscrTree
namespace Lean.Meta
structure InstanceEntry where
keys : Array DiscrTree.Key
val : Expr
globalName? : Option Name := none
structure Instances where
discrTree : DiscrTree Expr := DiscrTree.empty
globalInstances : NameSet := {}
instance : Inhabited Instances where
default := {}
def addInstanceEntry (d : Instances) (e : InstanceEntry) : Instances := {
d with
discrTree := d.discrTree.insertCore e.keys e.val
globalInstances := match e.globalName? with
| some n => d.globalInstances.insert n
| none => d.globalInstances
}
builtin_initialize instanceExtension : SimplePersistentEnvExtension InstanceEntry Instances ←
registerSimplePersistentEnvExtension {
name := `instanceExt,
addEntryFn := addInstanceEntry,
addImportedFn := fun es => (mkStateFromImportedEntries addInstanceEntry {} es)
}
private def mkInstanceKey (e : Expr) : MetaM (Array DiscrTree.Key) := do
let type ← inferType e
withNewMCtxDepth do
let (_, _, type) ← forallMetaTelescopeReducing type
DiscrTree.mkPath type
@[export lean_add_instance]
def addGlobalInstanceImp (env : Environment) (constName : Name) : IO Environment := do
match env.find? constName with
| none => throw <| IO.userError s!"unknown constant '{constName}'"
| some cinfo =>
let c := mkConst constName (cinfo.lparams.map mkLevelParam)
let (keys, s, _) ← (mkInstanceKey c).toIO {} { env := env } {} {}
return instanceExtension.addEntry s.env { keys := keys, val := c, globalName? := constName }
def addGlobalInstance [Monad m] [MonadEnv m] [MonadLiftT IO m] (declName : Name) : m Unit := do
let env ← getEnv
let env ← Meta.addGlobalInstanceImp env declName
setEnv env
builtin_initialize
registerBuiltinAttribute {
name := `instance,
descr := "type class instance",
add := fun declName args persistent => do
if args.hasArgs then throwError "invalid attribute 'instance', unexpected argument"
unless persistent do throwError "invalid attribute 'instance', must be persistent"
addGlobalInstance declName
}
@[export lean_is_instance]
def isGlobalInstance (env : Environment) (declName : Name) : Bool :=
Meta.instanceExtension.getState env |>.globalInstances.contains declName
def getGlobalInstancesIndex : MetaM (DiscrTree Expr) :=
return Meta.instanceExtension.getState (← getEnv) |>.discrTree
/- Default instance support -/
structure DefaultInstanceEntry where
className : Name
instanceName : Name
structure DefaultInstances where
defaultInstances : NameMap (List Name) := {}
instance : Inhabited DefaultInstances where
default := {}
def addDefaultInstanceEntry (d : DefaultInstances) (e : DefaultInstanceEntry) : DefaultInstances :=
match d.defaultInstances.find? e.className with
| some insts => { defaultInstances := d.defaultInstances.insert e.className <| e.instanceName :: insts }
| none => { defaultInstances := d.defaultInstances.insert e.className [e.instanceName] }
builtin_initialize defaultInstanceExtension : SimplePersistentEnvExtension DefaultInstanceEntry DefaultInstances ←
registerSimplePersistentEnvExtension {
name := `defaultInstanceExt,
addEntryFn := addDefaultInstanceEntry,
addImportedFn := fun es => (mkStateFromImportedEntries addDefaultInstanceEntry {} es)
}
def addDefaultInstance (declName : Name) : MetaM Unit := do
match (← getEnv).find? declName with
| none => throwError! "unknown constant '{declName}'"
| some info =>
forallTelescopeReducing info.type fun _ type => do
match type.getAppFn with
| Expr.const className _ _ =>
unless isClass (← getEnv) className do
throwError! "invalid default instance '{declName}', it has type '({className} ...)', but {className}' is not a type class"
setEnv <| defaultInstanceExtension.addEntry (← getEnv) { className := className, instanceName := declName }
| _ => throwError! "invalid default instance '{declName}', type must be of the form '(C ...)' where 'C' is a type class"
builtin_initialize
registerBuiltinAttribute {
name := `defaultInstance,
descr := "type class default instance",
add := fun declName args persistent => do
if args.hasArgs then throwError "invalid attribute 'defaultInstance', unexpected argument"
unless persistent do throwError "invalid attribute 'defaultInstance', must be persistent"
addDefaultInstance declName |>.run {} {}
pure ()
}
def getDefaultInstances [Monad m] [MonadEnv m] (className : Name) : m (List Name) :=
return defaultInstanceExtension.getState (← getEnv) |>.defaultInstances.find? className |>.getD []
end Lean.Meta
|
79cd7d9aadd95f395db3fcb985469daaae5dbb4a | 6432ea7a083ff6ba21ea17af9ee47b9c371760f7 | /src/lake/test/75/foo/lakefile.lean | bc5ee700dbf4120e91898817399d1ca63cd01008 | [
"Apache-2.0",
"LLVM-exception",
"NCSA",
"LGPL-3.0-only",
"LicenseRef-scancode-inner-net-2.0",
"BSD-3-Clause",
"LGPL-2.0-or-later",
"Spencer-94",
"LGPL-2.1-or-later",
"HPND",
"LicenseRef-scancode-pcre",
"ISC",
"LGPL-2.1-only",
"LicenseRef-scancode-other-permissive",
"SunPro",
"CMU-Mach"... | permissive | leanprover/lean4 | 4bdf9790294964627eb9be79f5e8f6157780b4cc | f1f9dc0f2f531af3312398999d8b8303fa5f096b | refs/heads/master | 1,693,360,665,786 | 1,693,350,868,000 | 1,693,350,868,000 | 129,571,436 | 2,827 | 311 | Apache-2.0 | 1,694,716,156,000 | 1,523,760,560,000 | Lean | UTF-8 | Lean | false | false | 201 | lean | import Lake
open Lake DSL
package foo {
-- add package configuration options here
}
lean_lib Foo {
-- add library configuration options here
}
@[default_target]
lean_exe foo {
root := `Main
}
|
93e3ee4527dfebba4ee781af9cd25272c506943c | 4727251e0cd73359b15b664c3170e5d754078599 | /src/algebra/group/inj_surj.lean | 0430e4f1b468cd1e72f1414fb90b0d35754d331f | [
"Apache-2.0"
] | permissive | Vierkantor/mathlib | 0ea59ac32a3a43c93c44d70f441c4ee810ccceca | 83bc3b9ce9b13910b57bda6b56222495ebd31c2f | refs/heads/master | 1,658,323,012,449 | 1,652,256,003,000 | 1,652,256,003,000 | 209,296,341 | 0 | 1 | Apache-2.0 | 1,568,807,655,000 | 1,568,807,655,000 | null | UTF-8 | Lean | false | false | 21,339 | lean | /-
Copyright (c) 2020 Johan Commelin. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johan Commelin
-/
import algebra.group.defs
import logic.function.basic
/-!
# Lifting algebraic data classes along injective/surjective maps
This file provides definitions that are meant to deal with
situations such as the following:
Suppose that `G` is a group, and `H` is a type endowed with
`has_one H`, `has_mul H`, and `has_inv H`.
Suppose furthermore, that `f : G → H` is a surjective map
that respects the multiplication, and the unit elements.
Then `H` satisfies the group axioms.
The relevant definition in this case is `function.surjective.group`.
Dually, there is also `function.injective.group`.
And there are versions for (additive) (commutative) semigroups/monoids.
-/
namespace function
/-!
### Injective
-/
namespace injective
variables {M₁ : Type*} {M₂ : Type*} [has_mul M₁]
/-- A type endowed with `*` is a semigroup,
if it admits an injective map that preserves `*` to a semigroup.
See note [reducible non-instances]. -/
@[reducible, to_additive
"A type endowed with `+` is an additive semigroup,
if it admits an injective map that preserves `+` to an additive semigroup."]
protected def semigroup [semigroup M₂] (f : M₁ → M₂) (hf : injective f)
(mul : ∀ x y, f (x * y) = f x * f y) :
semigroup M₁ :=
{ mul_assoc := λ x y z, hf $ by erw [mul, mul, mul, mul, mul_assoc],
..‹has_mul M₁› }
/-- A type endowed with `*` is a commutative semigroup,
if it admits an injective map that preserves `*` to a commutative semigroup.
See note [reducible non-instances]. -/
@[reducible, to_additive
"A type endowed with `+` is an additive commutative semigroup,
if it admits an injective map that preserves `+` to an additive commutative semigroup."]
protected def comm_semigroup [comm_semigroup M₂] (f : M₁ → M₂) (hf : injective f)
(mul : ∀ x y, f (x * y) = f x * f y) :
comm_semigroup M₁ :=
{ mul_comm := λ x y, hf $ by erw [mul, mul, mul_comm],
.. hf.semigroup f mul }
/-- A type endowed with `*` is a left cancel semigroup,
if it admits an injective map that preserves `*` to a left cancel semigroup.
See note [reducible non-instances]. -/
@[reducible, to_additive add_left_cancel_semigroup
"A type endowed with `+` is an additive left cancel semigroup,
if it admits an injective map that preserves `+` to an additive left cancel semigroup."]
protected def left_cancel_semigroup [left_cancel_semigroup M₂] (f : M₁ → M₂) (hf : injective f)
(mul : ∀ x y, f (x * y) = f x * f y) :
left_cancel_semigroup M₁ :=
{ mul := (*),
mul_left_cancel := λ x y z H, hf $ (mul_right_inj (f x)).1 $ by erw [← mul, ← mul, H]; refl,
.. hf.semigroup f mul }
/-- A type endowed with `*` is a right cancel semigroup,
if it admits an injective map that preserves `*` to a right cancel semigroup.
See note [reducible non-instances]. -/
@[reducible, to_additive add_right_cancel_semigroup
"A type endowed with `+` is an additive right cancel semigroup,
if it admits an injective map that preserves `+` to an additive right cancel semigroup."]
protected def right_cancel_semigroup [right_cancel_semigroup M₂] (f : M₁ → M₂) (hf : injective f)
(mul : ∀ x y, f (x * y) = f x * f y) :
right_cancel_semigroup M₁ :=
{ mul := (*),
mul_right_cancel := λ x y z H, hf $ (mul_left_inj (f y)).1 $ by erw [← mul, ← mul, H]; refl,
.. hf.semigroup f mul }
variables [has_one M₁]
/-- A type endowed with `1` and `*` is a mul_one_class,
if it admits an injective map that preserves `1` and `*` to a mul_one_class.
See note [reducible non-instances]. -/
@[reducible, to_additive
"A type endowed with `0` and `+` is an add_zero_class,
if it admits an injective map that preserves `0` and `+` to an add_zero_class."]
protected def mul_one_class [mul_one_class M₂] (f : M₁ → M₂) (hf : injective f)
(one : f 1 = 1) (mul : ∀ x y, f (x * y) = f x * f y) :
mul_one_class M₁ :=
{ one_mul := λ x, hf $ by erw [mul, one, one_mul],
mul_one := λ x, hf $ by erw [mul, one, mul_one],
..‹has_one M₁›, ..‹has_mul M₁› }
variables [has_pow M₁ ℕ]
/-- A type endowed with `1` and `*` is a monoid,
if it admits an injective map that preserves `1` and `*` to a monoid.
See note [reducible non-instances]. -/
@[reducible, to_additive
"A type endowed with `0` and `+` is an additive monoid,
if it admits an injective map that preserves `0` and `+` to an additive monoid.
This version takes a custom `nsmul` as a `[has_scalar ℕ M₁]` argument."]
protected def monoid [monoid M₂] (f : M₁ → M₂) (hf : injective f)
(one : f 1 = 1) (mul : ∀ x y, f (x * y) = f x * f y) (npow : ∀ x (n : ℕ), f (x ^ n) = f x ^ n) :
monoid M₁ :=
{ npow := λ n x, x ^ n,
npow_zero' := λ x, hf $ by erw [npow, one, pow_zero],
npow_succ' := λ n x, hf $ by erw [npow, pow_succ, mul, npow],
.. hf.semigroup f mul, .. hf.mul_one_class f one mul }
/-- A type endowed with `1` and `*` is a left cancel monoid,
if it admits an injective map that preserves `1` and `*` to a left cancel monoid.
See note [reducible non-instances]. -/
@[reducible, to_additive add_left_cancel_monoid
"A type endowed with `0` and `+` is an additive left cancel monoid,
if it admits an injective map that preserves `0` and `+` to an additive left cancel monoid."]
protected def left_cancel_monoid [left_cancel_monoid M₂] (f : M₁ → M₂) (hf : injective f)
(one : f 1 = 1) (mul : ∀ x y, f (x * y) = f x * f y) (npow : ∀ x (n : ℕ), f (x ^ n) = f x ^ n) :
left_cancel_monoid M₁ :=
{ .. hf.left_cancel_semigroup f mul, .. hf.monoid f one mul npow }
/-- A type endowed with `1` and `*` is a right cancel monoid,
if it admits an injective map that preserves `1` and `*` to a right cancel monoid.
See note [reducible non-instances]. -/
@[reducible, to_additive add_right_cancel_monoid
"A type endowed with `0` and `+` is an additive left cancel monoid,
if it admits an injective map that preserves `0` and `+` to an additive left cancel monoid."]
protected def right_cancel_monoid [right_cancel_monoid M₂] (f : M₁ → M₂) (hf : injective f)
(one : f 1 = 1) (mul : ∀ x y, f (x * y) = f x * f y) (npow : ∀ x (n : ℕ), f (x ^ n) = f x ^ n) :
right_cancel_monoid M₁ :=
{ .. hf.right_cancel_semigroup f mul, .. hf.monoid f one mul npow }
/-- A type endowed with `1` and `*` is a cancel monoid,
if it admits an injective map that preserves `1` and `*` to a cancel monoid.
See note [reducible non-instances]. -/
@[reducible, to_additive add_cancel_monoid
"A type endowed with `0` and `+` is an additive left cancel monoid,
if it admits an injective map that preserves `0` and `+` to an additive left cancel monoid."]
protected def cancel_monoid [cancel_monoid M₂] (f : M₁ → M₂) (hf : injective f)
(one : f 1 = 1) (mul : ∀ x y, f (x * y) = f x * f y) (npow : ∀ x (n : ℕ), f (x ^ n) = f x ^ n) :
cancel_monoid M₁ :=
{ .. hf.left_cancel_monoid f one mul npow, .. hf.right_cancel_monoid f one mul npow }
/-- A type endowed with `1` and `*` is a commutative monoid,
if it admits an injective map that preserves `1` and `*` to a commutative monoid.
See note [reducible non-instances]. -/
@[reducible, to_additive
"A type endowed with `0` and `+` is an additive commutative monoid,
if it admits an injective map that preserves `0` and `+` to an additive commutative monoid."]
protected def comm_monoid [comm_monoid M₂] (f : M₁ → M₂) (hf : injective f)
(one : f 1 = 1) (mul : ∀ x y, f (x * y) = f x * f y) (npow : ∀ x (n : ℕ), f (x ^ n) = f x ^ n) :
comm_monoid M₁ :=
{ .. hf.comm_semigroup f mul, .. hf.monoid f one mul npow }
/-- A type endowed with `1` and `*` is a cancel commutative monoid,
if it admits an injective map that preserves `1` and `*` to a cancel commutative monoid.
See note [reducible non-instances]. -/
@[reducible, to_additive add_cancel_comm_monoid
"A type endowed with `0` and `+` is an additive cancel commutative monoid,
if it admits an injective map that preserves `0` and `+` to an additive cancel commutative monoid."]
protected def cancel_comm_monoid [cancel_comm_monoid M₂] (f : M₁ → M₂) (hf : injective f)
(one : f 1 = 1) (mul : ∀ x y, f (x * y) = f x * f y) (npow : ∀ x (n : ℕ), f (x ^ n) = f x ^ n) :
cancel_comm_monoid M₁ :=
{ .. hf.left_cancel_semigroup f mul, .. hf.comm_monoid f one mul npow }
/-- A type has an involutive inversion if it admits a surjective map that preserves `⁻¹` to a type
which has an involutive inversion. -/
@[reducible, to_additive "A type has an involutive negation if it admits a surjective map that
preserves `⁻¹` to a type which has an involutive inversion."] --See note [reducible non-instances]
protected def has_involutive_inv {M₁ : Type*} [has_inv M₁][has_involutive_inv M₂]
(f : M₁ → M₂) (hf : injective f) (inv : ∀ x, f x⁻¹ = (f x)⁻¹) :
has_involutive_inv M₁ :=
{ inv := has_inv.inv,
inv_inv := λ x, hf $ by rw [inv, inv, inv_inv] }
variables [has_inv M₁] [has_div M₁] [has_pow M₁ ℤ]
/-- A type endowed with `1`, `*`, `⁻¹`, and `/` is a `div_inv_monoid`
if it admits an injective map that preserves `1`, `*`, `⁻¹`, and `/` to a `div_inv_monoid`.
See note [reducible non-instances]. -/
@[reducible, to_additive sub_neg_monoid
"A type endowed with `0`, `+`, unary `-`, and binary `-` is a `sub_neg_monoid`
if it admits an injective map that preserves `0`, `+`, unary `-`, and binary `-` to
a `sub_neg_monoid`.
This version takes custom `nsmul` and `zsmul` as `[has_scalar ℕ M₁]` and
`[has_scalar ℤ M₁]` arguments."]
protected def div_inv_monoid [div_inv_monoid M₂]
(f : M₁ → M₂) (hf : injective f)
(one : f 1 = 1) (mul : ∀ x y, f (x * y) = f x * f y) (inv : ∀ x, f x⁻¹ = (f x)⁻¹)
(div : ∀ x y, f (x / y) = f x / f y) (npow : ∀ x (n : ℕ), f (x ^ n) = f x ^ n)
(zpow : ∀ x (n : ℤ), f (x ^ n) = f x ^ n) :
div_inv_monoid M₁ :=
{ zpow := λ n x, x ^ n,
zpow_zero' := λ x, hf $ by erw [zpow, zpow_zero, one],
zpow_succ' := λ n x, hf $ by erw [zpow, mul, zpow_of_nat, pow_succ, zpow, zpow_of_nat],
zpow_neg' := λ n x, hf $ by erw [zpow, zpow_neg_succ_of_nat, inv, zpow, zpow_coe_nat],
div_eq_mul_inv := λ x y, hf $ by erw [div, mul, inv, div_eq_mul_inv],
.. hf.monoid f one mul npow, .. ‹has_inv M₁›, .. ‹has_div M₁› }
/-- A type endowed with `1`, `*`, `⁻¹`, and `/` is a `division_monoid`
if it admits an injective map that preserves `1`, `*`, `⁻¹`, and `/` to a `division_monoid`. -/
@[reducible, to_additive subtraction_monoid
"A type endowed with `0`, `+`, unary `-`, and binary `-` is a `subtraction_monoid`
if it admits an injective map that preserves `0`, `+`, unary `-`, and binary `-` to
a `subtraction_monoid`.
This version takes custom `nsmul` and `zsmul` as `[has_scalar ℕ M₁]` and
`[has_scalar ℤ M₁]` arguments."] -- See note [reducible non-instances]
protected def division_monoid [division_monoid M₂] (f : M₁ → M₂) (hf : injective f)
(one : f 1 = 1) (mul : ∀ x y, f (x * y) = f x * f y) (inv : ∀ x, f x⁻¹ = (f x)⁻¹)
(div : ∀ x y, f (x / y) = f x / f y) (npow : ∀ x (n : ℕ), f (x ^ n) = f x ^ n)
(zpow : ∀ x (n : ℤ), f (x ^ n) = f x ^ n) :
division_monoid M₁ :=
{ mul_inv_rev := λ x y, hf $ by erw [inv, mul, mul_inv_rev, mul, inv, inv],
inv_eq_of_mul := λ x y h, hf $ by erw [inv, inv_eq_of_mul_eq_one_right (by erw [←mul, h, one])],
..hf.div_inv_monoid f one mul inv div npow zpow, ..hf.has_involutive_inv f inv }
/-- A type endowed with `1`, `*`, `⁻¹`, and `/` is a `division_comm_monoid`
if it admits an injective map that preserves `1`, `*`, `⁻¹`, and `/` to a `division_comm_monoid`.
See note [reducible non-instances]. -/
@[reducible, to_additive subtraction_comm_monoid
"A type endowed with `0`, `+`, unary `-`, and binary `-` is a `subtraction_comm_monoid`
if it admits an injective map that preserves `0`, `+`, unary `-`, and binary `-` to
a `subtraction_comm_monoid`.
This version takes custom `nsmul` and `zsmul` as `[has_scalar ℕ M₁]` and
`[has_scalar ℤ M₁]` arguments."] -- See note [reducible non-instances]
protected def division_comm_monoid [division_comm_monoid M₂] (f : M₁ → M₂) (hf : injective f)
(one : f 1 = 1) (mul : ∀ x y, f (x * y) = f x * f y) (inv : ∀ x, f x⁻¹ = (f x)⁻¹)
(div : ∀ x y, f (x / y) = f x / f y) (npow : ∀ x (n : ℕ), f (x ^ n) = f x ^ n)
(zpow : ∀ x (n : ℤ), f (x ^ n) = f x ^ n) :
division_comm_monoid M₁ :=
{ ..hf.division_monoid f one mul inv div npow zpow, .. hf.comm_semigroup f mul }
/-- A type endowed with `1`, `*` and `⁻¹` is a group,
if it admits an injective map that preserves `1`, `*` and `⁻¹` to a group.
See note [reducible non-instances]. -/
@[reducible, to_additive
"A type endowed with `0` and `+` is an additive group,
if it admits an injective map that preserves `0` and `+` to an additive group."]
protected def group [group M₂] (f : M₁ → M₂) (hf : injective f)
(one : f 1 = 1) (mul : ∀ x y, f (x * y) = f x * f y) (inv : ∀ x, f (x⁻¹) = (f x)⁻¹)
(div : ∀ x y, f (x / y) = f x / f y) (npow : ∀ x (n : ℕ), f (x ^ n) = f x ^ n)
(zpow : ∀ x (n : ℤ), f (x ^ n) = f x ^ n) :
group M₁ :=
{ mul_left_inv := λ x, hf $ by erw [mul, inv, mul_left_inv, one],
.. hf.div_inv_monoid f one mul inv div npow zpow }
/-- A type endowed with `1`, `*` and `⁻¹` is a commutative group,
if it admits an injective map that preserves `1`, `*` and `⁻¹` to a commutative group.
See note [reducible non-instances]. -/
@[reducible, to_additive
"A type endowed with `0` and `+` is an additive commutative group,
if it admits an injective map that preserves `0` and `+` to an additive commutative group."]
protected def comm_group [comm_group M₂] (f : M₁ → M₂) (hf : injective f)
(one : f 1 = 1) (mul : ∀ x y, f (x * y) = f x * f y) (inv : ∀ x, f (x⁻¹) = (f x)⁻¹)
(div : ∀ x y, f (x / y) = f x / f y) (npow : ∀ x (n : ℕ), f (x ^ n) = f x ^ n)
(zpow : ∀ x (n : ℤ), f (x ^ n) = f x ^ n) :
comm_group M₁ :=
{ .. hf.comm_monoid f one mul npow, .. hf.group f one mul inv div npow zpow }
end injective
/-!
### Surjective
-/
namespace surjective
variables {M₁ : Type*} {M₂ : Type*} [has_mul M₂]
/-- A type endowed with `*` is a semigroup,
if it admits a surjective map that preserves `*` from a semigroup.
See note [reducible non-instances]. -/
@[reducible, to_additive
"A type endowed with `+` is an additive semigroup,
if it admits a surjective map that preserves `+` from an additive semigroup."]
protected def semigroup [semigroup M₁] (f : M₁ → M₂) (hf : surjective f)
(mul : ∀ x y, f (x * y) = f x * f y) :
semigroup M₂ :=
{ mul_assoc := hf.forall₃.2 $ λ x y z, by simp only [← mul, mul_assoc],
..‹has_mul M₂› }
/-- A type endowed with `*` is a commutative semigroup,
if it admits a surjective map that preserves `*` from a commutative semigroup.
See note [reducible non-instances]. -/
@[reducible, to_additive
"A type endowed with `+` is an additive commutative semigroup,
if it admits a surjective map that preserves `+` from an additive commutative semigroup."]
protected def comm_semigroup [comm_semigroup M₁] (f : M₁ → M₂) (hf : surjective f)
(mul : ∀ x y, f (x * y) = f x * f y) :
comm_semigroup M₂ :=
{ mul_comm := hf.forall₂.2 $ λ x y, by erw [← mul, ← mul, mul_comm],
.. hf.semigroup f mul }
variables [has_one M₂]
/-- A type endowed with `1` and `*` is a mul_one_class,
if it admits a surjective map that preserves `1` and `*` from a mul_one_class.
See note [reducible non-instances]. -/
@[reducible, to_additive
"A type endowed with `0` and `+` is an add_zero_class,
if it admits a surjective map that preserves `0` and `+` to an add_zero_class."]
protected def mul_one_class [mul_one_class M₁] (f : M₁ → M₂) (hf : surjective f)
(one : f 1 = 1) (mul : ∀ x y, f (x * y) = f x * f y) :
mul_one_class M₂ :=
{ one_mul := hf.forall.2 $ λ x, by erw [← one, ← mul, one_mul],
mul_one := hf.forall.2 $ λ x, by erw [← one, ← mul, mul_one],
..‹has_one M₂›, ..‹has_mul M₂› }
variables [has_pow M₂ ℕ]
/-- A type endowed with `1` and `*` is a monoid,
if it admits a surjective map that preserves `1` and `*` to a monoid.
See note [reducible non-instances]. -/
@[reducible, to_additive
"A type endowed with `0` and `+` is an additive monoid,
if it admits a surjective map that preserves `0` and `+` to an additive monoid.
This version takes a custom `nsmul` as a `[has_scalar ℕ M₂]` argument."]
protected def monoid [monoid M₁] (f : M₁ → M₂) (hf : surjective f)
(one : f 1 = 1) (mul : ∀ x y, f (x * y) = f x * f y) (npow : ∀ x (n : ℕ), f (x ^ n) = f x ^ n) :
monoid M₂ :=
{ npow := λ n x, x ^ n,
npow_zero' := hf.forall.2 $ λ x, by erw [←npow, pow_zero, ←one],
npow_succ' := λ n, hf.forall.2 $ λ x, by erw [←npow, pow_succ, ←npow, ←mul],
.. hf.semigroup f mul, .. hf.mul_one_class f one mul }
/-- A type endowed with `1` and `*` is a commutative monoid,
if it admits a surjective map that preserves `1` and `*` from a commutative monoid.
See note [reducible non-instances]. -/
@[reducible, to_additive
"A type endowed with `0` and `+` is an additive commutative monoid,
if it admits a surjective map that preserves `0` and `+` to an additive commutative monoid."]
protected def comm_monoid [comm_monoid M₁] (f : M₁ → M₂) (hf : surjective f)
(one : f 1 = 1) (mul : ∀ x y, f (x * y) = f x * f y) (npow : ∀ x (n : ℕ), f (x ^ n) = f x ^ n) :
comm_monoid M₂ :=
{ .. hf.comm_semigroup f mul, .. hf.monoid f one mul npow }
/-- A type has an involutive inversion if it admits a surjective map that preserves `⁻¹` to a type
which has an involutive inversion. -/
@[reducible, to_additive "A type has an involutive negation if it admits a surjective map that
preserves `⁻¹` to a type which has an involutive inversion."] --See note [reducible non-instances]
protected def has_involutive_inv {M₂ : Type*} [has_inv M₂] [has_involutive_inv M₁]
(f : M₁ → M₂) (hf : surjective f) (inv : ∀ x, f x⁻¹ = (f x)⁻¹) :
has_involutive_inv M₂ :=
{ inv := has_inv.inv,
inv_inv := hf.forall.2 $ λ x, by erw [←inv, ←inv, inv_inv] }
variables [has_inv M₂] [has_div M₂] [has_pow M₂ ℤ]
/-- A type endowed with `1`, `*`, `⁻¹`, and `/` is a `div_inv_monoid`
if it admits a surjective map that preserves `1`, `*`, `⁻¹`, and `/` to a `div_inv_monoid`.
See note [reducible non-instances]. -/
@[reducible, to_additive sub_neg_monoid
"A type endowed with `0`, `+`, unary `-`, and binary `-` is a `sub_neg_monoid`
if it admits a surjective map that preserves `0`, `+`, unary `-`, and binary `-` to
a `sub_neg_monoid`."]
protected def div_inv_monoid [div_inv_monoid M₁]
(f : M₁ → M₂) (hf : surjective f)
(one : f 1 = 1) (mul : ∀ x y, f (x * y) = f x * f y) (inv : ∀ x, f x⁻¹ = (f x)⁻¹)
(div : ∀ x y, f (x / y) = f x / f y) (npow : ∀ x (n : ℕ), f (x ^ n) = f x ^ n)
(zpow : ∀ x (n : ℤ), f (x ^ n) = f x ^ n) :
div_inv_monoid M₂ :=
{ zpow := λ n x, x ^ n,
zpow_zero' := hf.forall.2 $ λ x, by erw [←zpow, zpow_zero, ←one],
zpow_succ' := λ n, hf.forall.2 $ λ x, by
erw [←zpow, ←zpow, zpow_of_nat, zpow_of_nat, pow_succ, ←mul],
zpow_neg' := λ n, hf.forall.2 $ λ x, by
erw [←zpow, ←zpow, zpow_neg_succ_of_nat, zpow_coe_nat, inv],
div_eq_mul_inv := hf.forall₂.2 $ λ x y, by erw [← inv, ← mul, ← div, div_eq_mul_inv],
.. hf.monoid f one mul npow, .. ‹has_div M₂›, .. ‹has_inv M₂› }
/-- A type endowed with `1`, `*` and `⁻¹` is a group,
if it admits a surjective map that preserves `1`, `*` and `⁻¹` to a group.
See note [reducible non-instances]. -/
@[reducible, to_additive
"A type endowed with `0` and `+` is an additive group,
if it admits a surjective map that preserves `0` and `+` to an additive group."]
protected def group [group M₁] (f : M₁ → M₂) (hf : surjective f)
(one : f 1 = 1) (mul : ∀ x y, f (x * y) = f x * f y) (inv : ∀ x, f (x⁻¹) = (f x)⁻¹)
(div : ∀ x y, f (x / y) = f x / f y) (npow : ∀ x (n : ℕ), f (x ^ n) = f x ^ n)
(zpow : ∀ x (n : ℤ), f (x ^ n) = f x ^ n) :
group M₂ :=
{ mul_left_inv := hf.forall.2 $ λ x, by erw [← inv, ← mul, mul_left_inv, one]; refl,
.. hf.div_inv_monoid f one mul inv div npow zpow }
/-- A type endowed with `1`, `*`, `⁻¹`, and `/` is a commutative group,
if it admits a surjective map that preserves `1`, `*`, `⁻¹`, and `/` from a commutative group.
See note [reducible non-instances]. -/
@[reducible, to_additive
"A type endowed with `0` and `+` is an additive commutative group,
if it admits a surjective map that preserves `0` and `+` to an additive commutative group."]
protected def comm_group [comm_group M₁] (f : M₁ → M₂) (hf : surjective f)
(one : f 1 = 1) (mul : ∀ x y, f (x * y) = f x * f y) (inv : ∀ x, f (x⁻¹) = (f x)⁻¹)
(div : ∀ x y, f (x / y) = f x / f y) (npow : ∀ x (n : ℕ), f (x ^ n) = f x ^ n)
(zpow : ∀ x (n : ℤ), f (x ^ n) = f x ^ n) :
comm_group M₂ :=
{ .. hf.comm_monoid f one mul npow, .. hf.group f one mul inv div npow zpow }
end surjective
end function
|
a425280231a780f68ddb5108cefe3e5add932e87 | e00ea76a720126cf9f6d732ad6216b5b824d20a7 | /src/data/fintype/card.lean | 0e6de1c6fdd177cee61e09859adc4e7f48e14543 | [
"Apache-2.0"
] | permissive | vaibhavkarve/mathlib | a574aaf68c0a431a47fa82ce0637f0f769826bfe | 17f8340912468f49bdc30acdb9a9fa02eeb0473a | refs/heads/master | 1,621,263,802,637 | 1,585,399,588,000 | 1,585,399,588,000 | 250,833,447 | 0 | 0 | Apache-2.0 | 1,585,410,341,000 | 1,585,410,341,000 | null | UTF-8 | Lean | false | false | 4,437 | lean | /-
Copyright (c) 2017 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Author: Mario Carneiro
-/
import data.fintype
import algebra.big_operators
/-!
Results about "big operations" over a `fintype`, and consequent
results about cardinalities of certain types.
## Implementation note
This content had previously been in `data.fintype`, but was moved here to avoid
requiring `algebra.big_operators` (and hence many other imports) as a
dependency of `fintype`.
-/
universes u v
variables {α : Type*} {β : Type*} {γ : Type*}
namespace fintype
lemma card_eq_sum_ones {α} [fintype α] : fintype.card α = (finset.univ : finset α).sum (λ _, 1) :=
finset.card_eq_sum_ones _
end fintype
open finset
theorem fin.prod_univ_succ [comm_monoid β] {n:ℕ} (f : fin n.succ → β) :
univ.prod f = f 0 * univ.prod (λ i:fin n, f i.succ) :=
begin
rw [fin.univ_succ, prod_insert, prod_image],
{ intros x _ y _ hxy, exact fin.succ.inj hxy },
{ simpa using fin.succ_ne_zero }
end
@[simp, to_additive] theorem fin.prod_univ_zero [comm_monoid β] (f : fin 0 → β) : univ.prod f = 1 := rfl
theorem fin.sum_univ_succ [add_comm_monoid β] {n:ℕ} (f : fin n.succ → β) :
univ.sum f = f 0 + univ.sum (λ i:fin n, f i.succ) :=
by apply @fin.prod_univ_succ (multiplicative β)
attribute [to_additive] fin.prod_univ_succ
theorem fin.prod_univ_cast_succ [comm_monoid β] {n:ℕ} (f : fin n.succ → β) :
univ.prod f = univ.prod (λ i:fin n, f i.cast_succ) * f (fin.last n) :=
begin
rw [fin.univ_cast_succ, prod_insert, prod_image, mul_comm],
{ intros x _ y _ hxy, exact fin.cast_succ_inj.mp hxy },
{ simpa using fin.cast_succ_ne_last }
end
theorem fin.sum_univ_cast_succ [add_comm_monoid β] {n:ℕ} (f : fin n.succ → β) :
univ.sum f = univ.sum (λ i:fin n, f i.cast_succ) + f (fin.last n) :=
by apply @fin.prod_univ_cast_succ (multiplicative β)
attribute [to_additive] fin.prod_univ_cast_succ
@[simp] theorem fintype.card_sigma {α : Type*} (β : α → Type*)
[fintype α] [∀ a, fintype (β a)] :
fintype.card (sigma β) = univ.sum (λ a, fintype.card (β a)) :=
card_sigma _ _
-- FIXME ouch, this should be in the main file.
@[simp] theorem fintype.card_sum (α β : Type*) [fintype α] [fintype β] :
fintype.card (α ⊕ β) = fintype.card α + fintype.card β :=
by rw [sum.fintype, fintype.of_equiv_card]; simp
@[simp] lemma fintype.card_pi {β : α → Type*} [fintype α] [decidable_eq α]
[f : Π a, fintype (β a)] : fintype.card (Π a, β a) = univ.prod (λ a, fintype.card (β a)) :=
by letI f' : fintype (Πa∈univ, β a) :=
⟨(univ.pi $ λa, univ), assume f, finset.mem_pi.2 $ assume a ha, mem_univ _⟩;
exact calc fintype.card (Π a, β a) = fintype.card (Π a ∈ univ, β a) : fintype.card_congr
⟨λ f a ha, f a, λ f a, f a (mem_univ a), λ _, rfl, λ _, rfl⟩
... = univ.prod (λ a, fintype.card (β a)) : finset.card_pi _ _
-- FIXME ouch, this should be in the main file.
@[simp] lemma fintype.card_fun [fintype α] [decidable_eq α] [fintype β] :
fintype.card (α → β) = fintype.card β ^ fintype.card α :=
by rw [fintype.card_pi, finset.prod_const, nat.pow_eq_pow]; refl
@[simp] lemma card_vector [fintype α] (n : ℕ) :
fintype.card (vector α n) = fintype.card α ^ n :=
by rw fintype.of_equiv_card; simp
@[simp, to_additive]
lemma finset.prod_attach_univ [fintype α] [comm_monoid β] (f : {a : α // a ∈ @univ α _} → β) :
univ.attach.prod (λ x, f x) = univ.prod (λ x, f ⟨x, (mem_univ _)⟩) :=
prod_bij (λ x _, x.1) (λ _ _, mem_univ _) (λ _ _ , by simp) (by simp) (λ b _, ⟨⟨b, mem_univ _⟩, by simp⟩)
@[to_additive]
lemma finset.range_prod_eq_univ_prod [comm_monoid β] (n : ℕ) (f : ℕ → β) :
(range n).prod f = univ.prod (λ (k : fin n), f k) :=
begin
symmetry,
refine prod_bij (λ k hk, k) _ _ _ _,
{ rintro ⟨k, hk⟩ _, simp * },
{ rintro ⟨k, hk⟩ _, simp * },
{ intros, rwa fin.eq_iff_veq },
{ intros k hk, rw mem_range at hk,
exact ⟨⟨k, hk⟩, mem_univ _, rfl⟩ }
end
@[simp] lemma fintype.card_pi_finset [decidable_eq α] [fintype α]
{δ : α → Type*} [decidable_eq (Π a, δ a)] (t : Π a, finset (δ a)) :
(fintype.pi_finset t).card = finset.univ.prod (λ a, card (t a)) :=
begin
dsimp [fintype.pi_finset],
rw card_image_of_injective,
{ simp },
{ assume f g hfg,
ext a ha,
exact (congr_fun hfg a : _) }
end
|
da609519ff0bbe70540a92caec998b2db5a794db | a9d0fb7b0e4f802bd3857b803e6c5c23d87fef91 | /tests/lean/bad_structures.lean | 91170032f7edab125b597faf39e38ac722cf7239 | [
"Apache-2.0"
] | permissive | soonhokong/lean-osx | 4a954262c780e404c1369d6c06516161d07fcb40 | 3670278342d2f4faa49d95b46d86642d7875b47c | refs/heads/master | 1,611,410,334,552 | 1,474,425,686,000 | 1,474,425,686,000 | 12,043,103 | 5 | 1 | null | null | null | null | UTF-8 | Lean | false | false | 339 | lean | prelude namespace foo structure {l} prod (A : Type l) (B : Type l) :=
(pr1 : A) (pr2 : B)
structure {l} prod (A : Type l) (B : Type l) : Type :=
(pr1 : A) (pr2 : B)
structure {l} prod (A : Type l) (B : Type l) : Type l :=
(pr1 : A) (pr2 : B)
structure {l} prod2 (A : Type l) (B : Type l) : Type (max 1 l) :=
(pr1 : A) (pr2 : B)
end foo
|
7032f894485377718d9232fc08d410812a2145d8 | cf39355caa609c0f33405126beee2739aa3cb77e | /tests/lean/run/using_smt3.lean | da8cd68c8b7d9806c49c688b32913278b5edce10 | [
"Apache-2.0"
] | permissive | leanprover-community/lean | 12b87f69d92e614daea8bcc9d4de9a9ace089d0e | cce7990ea86a78bdb383e38ed7f9b5ba93c60ce0 | refs/heads/master | 1,687,508,156,644 | 1,684,951,104,000 | 1,684,951,104,000 | 169,960,991 | 457 | 107 | Apache-2.0 | 1,686,744,372,000 | 1,549,790,268,000 | C++ | UTF-8 | Lean | false | false | 566 | lean | open tactic
lemma ex1 : let x := 1 in ∀ y, x = y → y = 1 :=
by using_smt $ smt_tactic.intros >> get_local `x >>= (fun a, trace a)
open tactic_result
meta def fail_if_success {α : Type} (t : smt_tactic α) : smt_tactic unit :=
⟨λ ss ts, match t.run ss ts with
| success _ _ := failed ts
| exception _ _ _ := success ((), ss) ts
end⟩
def my_smt_config : smt_config :=
{ pre_cfg := { zeta := tt } }
lemma ex2 : let x := 1 in ∀ y, x = y → y = 1 :=
by using_smt_with my_smt_config $ smt_tactic.intros >> fail_if_success (get_local `x) >> return ()
|
639de6c7d6f50111533afcf1f1dc5265d1bf756d | fa02ed5a3c9c0adee3c26887a16855e7841c668b | /src/dynamics/fixed_points/topology.lean | 665a645538719f090da7a92e5e0d001f6c742303 | [
"Apache-2.0"
] | permissive | jjgarzella/mathlib | 96a345378c4e0bf26cf604aed84f90329e4896a2 | 395d8716c3ad03747059d482090e2bb97db612c8 | refs/heads/master | 1,686,480,124,379 | 1,625,163,323,000 | 1,625,163,323,000 | 281,190,421 | 2 | 0 | Apache-2.0 | 1,595,268,170,000 | 1,595,268,169,000 | null | UTF-8 | Lean | false | false | 1,256 | lean | /-
Copyright (c) 2020 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Johannes Hölzl
-/
import dynamics.fixed_points.basic
import topology.separation
/-!
# Topological properties of fixed points
Currently this file contains two lemmas:
- `is_fixed_pt_of_tendsto_iterate`: if `f^n(x) → y` and `f` is continuous at `y`, then `f y = y`;
- `is_closed_fixed_points`: the set of fixed points of a continuous map is a closed set.
## TODO
fixed points, iterates
-/
variables {α : Type*} [topological_space α] [t2_space α] {f : α → α}
open function filter
open_locale topological_space
/-- If the iterates `f^[n] x` converge to `y` and `f` is continuous at `y`,
then `y` is a fixed point for `f`. -/
lemma is_fixed_pt_of_tendsto_iterate {x y : α} (hy : tendsto (λ n, f^[n] x) at_top (𝓝 y))
(hf : continuous_at f y) :
is_fixed_pt f y :=
begin
refine tendsto_nhds_unique ((tendsto_add_at_top_iff_nat 1).1 _) hy,
simp only [iterate_succ' f],
exact hf.tendsto.comp hy
end
/-- The set of fixed points of a continuous map is a closed set. -/
lemma is_closed_fixed_points (hf : continuous f) : is_closed (fixed_points f) :=
is_closed_eq hf continuous_id
|
2441bbcc80a0c622a0a21957caac2359719b444d | 55c7fc2bf55d496ace18cd6f3376e12bb14c8cc5 | /src/group_theory/submonoid/membership.lean | 43c9032f135f2ba721c87f1fe77cc586e08140bc | [
"Apache-2.0"
] | permissive | dupuisf/mathlib | 62de4ec6544bf3b79086afd27b6529acfaf2c1bb | 8582b06b0a5d06c33ee07d0bdf7c646cae22cf36 | refs/heads/master | 1,669,494,854,016 | 1,595,692,409,000 | 1,595,692,409,000 | 272,046,630 | 0 | 0 | Apache-2.0 | 1,592,066,143,000 | 1,592,066,142,000 | null | UTF-8 | Lean | false | false | 7,434 | lean | /-
Copyright (c) 2018 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Kenny Lau, Johan Commelin, Mario Carneiro, Kevin Buzzard,
Amelia Livingston, Yury Kudryashov
-/
import group_theory.submonoid.operations
import algebra.big_operators.basic
import algebra.free_monoid
/-!
# Submonoids: membership criteria
In this file we prove various facts about membership in a submonoid:
* `list_prod_mem`, `multiset_prod_mem`, `prod_mem`: if each element of a collection belongs
to a multiplicative submonoid, then so does their product;
* `list_sum_mem`, `multiset_sum_mem`, `sum_mem`: if each element of a collection belongs
to an additive submonoid, then so does their sum;
* `pow_mem`, `nsmul_mem`: if `x ∈ S` where `S` is a multiplicative (resp., additive) submonoid and
`n` is a natural number, then `x^n` (resp., `n •ℕ x`) belongs to `S`;
* `mem_supr_of_directed`, `coe_supr_of_directed`, `mem_Sup_of_directed_on`,
`coe_Sup_of_directed_on`: the supremum of a directed collection of submonoid is their union.
* `sup_eq_range`, `mem_sup`: supremum of two submonoids `S`, `T` of a commutative monoid is the set
of products;
* `closure_singleton_eq`, `mem_closure_singleton`: the multiplicative (resp., additive) closure
of `{x}` consists of powers (resp., natural multiples) of `x`.
## Tags
submonoid, submonoids
-/
open_locale big_operators
variables {M : Type*} [monoid M] {s : set M}
variables {A : Type*} [add_monoid A] {t : set A}
namespace submonoid
variables (S : submonoid M)
/-- Product of a list of elements in a submonoid is in the submonoid. -/
@[to_additive "Sum of a list of elements in an `add_submonoid` is in the `add_submonoid`."]
lemma list_prod_mem : ∀ {l : list M}, (∀x ∈ l, x ∈ S) → l.prod ∈ S
| [] h := S.one_mem
| (a::l) h :=
suffices a * l.prod ∈ S, by rwa [list.prod_cons],
have a ∈ S ∧ (∀ x ∈ l, x ∈ S), from list.forall_mem_cons.1 h,
S.mul_mem this.1 (list_prod_mem this.2)
/-- Product of a multiset of elements in a submonoid of a `comm_monoid` is in the submonoid. -/
@[to_additive "Sum of a multiset of elements in an `add_submonoid` of an `add_comm_monoid` is
in the `add_submonoid`."]
lemma multiset_prod_mem {M} [comm_monoid M] (S : submonoid M) (m : multiset M) :
(∀a ∈ m, a ∈ S) → m.prod ∈ S :=
begin
refine quotient.induction_on m (assume l hl, _),
rw [multiset.quot_mk_to_coe, multiset.coe_prod],
exact S.list_prod_mem hl
end
/-- Product of elements of a submonoid of a `comm_monoid` indexed by a `finset` is in the
submonoid. -/
@[to_additive "Sum of elements in an `add_submonoid` of an `add_comm_monoid` indexed by a `finset`
is in the `add_submonoid`."]
lemma prod_mem {M : Type*} [comm_monoid M] (S : submonoid M)
{ι : Type*} {t : finset ι} {f : ι → M} (h : ∀c ∈ t, f c ∈ S) :
∏ c in t, f c ∈ S :=
S.multiset_prod_mem (t.1.map f) $ λ x hx, let ⟨i, hi, hix⟩ := multiset.mem_map.1 hx in hix ▸ h i hi
lemma pow_mem {x : M} (hx : x ∈ S) : ∀ n:ℕ, x^n ∈ S
| 0 := S.one_mem
| (n+1) := S.mul_mem hx (pow_mem n)
open set
@[to_additive]
lemma mem_supr_of_directed {ι} [hι : nonempty ι] {S : ι → submonoid M} (hS : directed (≤) S)
{x : M} :
x ∈ (⨆ i, S i) ↔ ∃ i, x ∈ S i :=
begin
refine ⟨_, λ ⟨i, hi⟩, (le_def.1 $ le_supr S i) hi⟩,
suffices : x ∈ closure (⋃ i, (S i : set M)) → ∃ i, x ∈ S i,
by simpa only [closure_Union, closure_eq (S _)] using this,
refine (λ hx, closure_induction hx (λ _, mem_Union.1) _ _),
{ exact hι.elim (λ i, ⟨i, (S i).one_mem⟩) },
{ rintros x y ⟨i, hi⟩ ⟨j, hj⟩,
rcases hS i j with ⟨k, hki, hkj⟩,
exact ⟨k, (S k).mul_mem (hki hi) (hkj hj)⟩ }
end
@[to_additive]
lemma coe_supr_of_directed {ι} [nonempty ι] {S : ι → submonoid M} (hS : directed (≤) S) :
((⨆ i, S i : submonoid M) : set M) = ⋃ i, ↑(S i) :=
set.ext $ λ x, by simp [mem_supr_of_directed hS]
@[to_additive]
lemma mem_Sup_of_directed_on {S : set (submonoid M)} (Sne : S.nonempty)
(hS : directed_on (≤) S) {x : M} :
x ∈ Sup S ↔ ∃ s ∈ S, x ∈ s :=
begin
haveI : nonempty S := Sne.to_subtype,
simp only [Sup_eq_supr', mem_supr_of_directed hS.directed_coe, set_coe.exists, subtype.coe_mk]
end
@[to_additive]
lemma coe_Sup_of_directed_on {S : set (submonoid M)} (Sne : S.nonempty) (hS : directed_on (≤) S) :
(↑(Sup S) : set M) = ⋃ s ∈ S, ↑s :=
set.ext $ λ x, by simp [mem_Sup_of_directed_on Sne hS]
variables {N : Type*} [monoid N] {P : Type*} [monoid P]
end submonoid
namespace free_monoid
variables {α : Type*}
open submonoid
@[to_additive]
theorem closure_range_of : closure (set.range $ @of α) = ⊤ :=
eq_top_iff.2 $ λ x hx, free_monoid.rec_on x (one_mem _) $ λ x xs hxs,
mul_mem _ (subset_closure $ set.mem_range_self _) hxs
end free_monoid
namespace submonoid
variables {N : Type*} [monoid N]
open monoid_hom
lemma closure_singleton_eq (x : M) : closure ({x} : set M) = (powers_hom M x).mrange :=
closure_eq_of_le (set.singleton_subset_iff.2 ⟨multiplicative.of_add 1, trivial, pow_one x⟩) $
λ x ⟨n, _, hn⟩, hn ▸ pow_mem _ (subset_closure $ set.mem_singleton _) _
/-- The submonoid generated by an element of a monoid equals the set of natural number powers of
the element. -/
lemma mem_closure_singleton {x y : M} : y ∈ closure ({x} : set M) ↔ ∃ n:ℕ, x^n=y :=
by rw [closure_singleton_eq, mem_mrange]; refl
@[to_additive]
lemma closure_eq_mrange (s : set M) : closure s = (free_monoid.lift (coe : s → M)).mrange :=
by rw [mrange, ← free_monoid.closure_range_of, map_mclosure, ← set.range_comp,
free_monoid.lift_comp_of, subtype.range_coe]
@[to_additive]
lemma exists_list_of_mem_closure {s : set M} {x : M} (hx : x ∈ closure s) :
∃ (l : list M) (hl : ∀ y ∈ l, y ∈ s), l.prod = x :=
begin
rw [closure_eq_mrange, mem_mrange] at hx,
rcases hx with ⟨l, hx⟩,
exact ⟨list.map coe l, λ y hy, let ⟨z, hz, hy⟩ := list.mem_map.1 hy in hy ▸ z.2, hx⟩
end
end submonoid
namespace submonoid
variables {N : Type*} [comm_monoid N]
open monoid_hom
@[to_additive]
lemma sup_eq_range (s t : submonoid N) : s ⊔ t = (s.subtype.coprod t.subtype).mrange :=
by rw [mrange, ← mrange_inl_sup_mrange_inr, map_sup, map_mrange, coprod_comp_inl,
map_mrange, coprod_comp_inr, range_subtype, range_subtype]
@[to_additive]
lemma mem_sup {s t : submonoid N} {x : N} :
x ∈ s ⊔ t ↔ ∃ (y ∈ s) (z ∈ t), y * z = x :=
by simp only [sup_eq_range, mem_mrange, coprod_apply, prod.exists, submonoid.exists,
coe_subtype, subtype.coe_mk]
end submonoid
namespace add_submonoid
open set
lemma nsmul_mem (S : add_submonoid A) {x : A} (hx : x ∈ S) :
∀ n : ℕ, n •ℕ x ∈ S
| 0 := S.zero_mem
| (n+1) := S.add_mem hx (nsmul_mem n)
lemma closure_singleton_eq (x : A) : closure ({x} : set A) = (multiples_hom A x).mrange :=
closure_eq_of_le (set.singleton_subset_iff.2 ⟨1, trivial, one_nsmul x⟩) $
λ x ⟨n, _, hn⟩, hn ▸ nsmul_mem _ (subset_closure $ set.mem_singleton _) _
/-- The `add_submonoid` generated by an element of an `add_monoid` equals the set of
natural number multiples of the element. -/
lemma mem_closure_singleton {x y : A} :
y ∈ closure ({x} : set A) ↔ ∃ n:ℕ, n •ℕ x = y :=
by rw [closure_singleton_eq, add_monoid_hom.mem_mrange]; refl
end add_submonoid
|
b012bf253b12d35433721b21c19fe8477bd9df8b | abd85493667895c57a7507870867b28124b3998f | /src/data/finsupp.lean | e8e91f8a243ff934b63af6ea9e91509b18a7a6a7 | [
"Apache-2.0"
] | permissive | pechersky/mathlib | d56eef16bddb0bfc8bc552b05b7270aff5944393 | f1df14c2214ee114c9738e733efd5de174deb95d | refs/heads/master | 1,666,714,392,571 | 1,591,747,567,000 | 1,591,747,567,000 | 270,557,274 | 0 | 0 | Apache-2.0 | 1,591,597,975,000 | 1,591,597,974,000 | null | UTF-8 | Lean | false | false | 68,426 | lean | /-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Scott Morrison
-/
import algebra.module
/-!
# Type of functions with finite support
For any type `α` and a type `β` with zero, we define the type `finsupp α β` of finitely supported
functions from `α` to `β`, i.e. the functions which are zero everywhere on `α` except on a finite
set. We write this in infix notation as `α →₀ β`.
Functions with finite support provide the basis for the following concrete instances:
* `ℕ →₀ α`: Polynomials (where `α` is a ring)
* `(σ →₀ ℕ) →₀ α`: Multivariate Polynomials (again `α` is a ring, and `σ` are variable names)
* `α →₀ ℕ`: Multisets
* `α →₀ ℤ`: Abelian groups freely generated by `α`
* `β →₀ α`: Linear combinations over `β` where `α` is the scalar ring
Most of the theory assumes that the range is a commutative monoid. This gives us the big sum
operator as a powerful way to construct `finsupp` elements.
A general piece of advice is to not use `α →₀ β` directly, as the type class setup might not be a
good fit. Defining a copy and selecting the instances that are best suited for the application works
better.
## Implementation notes
This file is a `noncomputable theory` and uses classical logic throughout.
## Notation
This file defines `α →₀ β` as notation for `finsupp α β`.
-/
noncomputable theory
open_locale classical big_operators
open finset
variables {α : Type*} {β : Type*} {γ : Type*} {δ : Type*} {ι : Type*}
{α₁ : Type*} {α₂ : Type*} {β₁ : Type*} {β₂ : Type*}
/-- `finsupp α β`, denoted `α →₀ β`, is the type of functions `f : α → β` such that
`f x = 0` for all but finitely many `x`. -/
structure finsupp (α : Type*) (β : Type*) [has_zero β] :=
(support : finset α)
(to_fun : α → β)
(mem_support_to_fun : ∀a, a ∈ support ↔ to_fun a ≠ 0)
infixr ` →₀ `:25 := finsupp
namespace finsupp
/-! ### Basic declarations about `finsupp` -/
section basic
variable [has_zero β]
instance : has_coe_to_fun (α →₀ β) := ⟨λ_, α → β, to_fun⟩
instance : has_zero (α →₀ β) := ⟨⟨∅, (λ_, 0), λ _, ⟨false.elim, λ H, H rfl⟩⟩⟩
@[simp] lemma zero_apply {a : α} : (0 : α →₀ β) a = 0 :=
rfl
@[simp] lemma support_zero : (0 : α →₀ β).support = ∅ :=
rfl
instance : inhabited (α →₀ β) := ⟨0⟩
@[simp] lemma mem_support_iff {f : α →₀ β} : ∀{a:α}, a ∈ f.support ↔ f a ≠ 0 :=
f.mem_support_to_fun
lemma not_mem_support_iff {f : α →₀ β} {a} : a ∉ f.support ↔ f a = 0 :=
not_iff_comm.1 mem_support_iff.symm
@[ext]
lemma ext : ∀{f g : α →₀ β}, (∀a, f a = g a) → f = g
| ⟨s, f, hf⟩ ⟨t, g, hg⟩ h :=
begin
have : f = g, { funext a, exact h a },
subst this,
have : s = t, { ext a, exact (hf a).trans (hg a).symm },
subst this
end
lemma ext_iff {f g : α →₀ β} : f = g ↔ (∀a:α, f a = g a) :=
⟨by rintros rfl a; refl, ext⟩
@[simp] lemma support_eq_empty {f : α →₀ β} : f.support = ∅ ↔ f = 0 :=
⟨assume h, ext $ assume a, by_contradiction $ λ H, (finset.ext.1 h a).1 $
mem_support_iff.2 H, by rintro rfl; refl⟩
instance finsupp.decidable_eq [decidable_eq α] [decidable_eq β] : decidable_eq (α →₀ β) :=
assume f g, decidable_of_iff (f.support = g.support ∧ (∀a∈f.support, f a = g a))
⟨assume ⟨h₁, h₂⟩, ext $ assume a,
if h : a ∈ f.support then h₂ a h else
have hf : f a = 0, by rwa [mem_support_iff, not_not] at h,
have hg : g a = 0, by rwa [h₁, mem_support_iff, not_not] at h,
by rw [hf, hg],
by rintro rfl; exact ⟨rfl, λ _ _, rfl⟩⟩
lemma finite_supp (f : α →₀ β) : set.finite {a | f a ≠ 0} :=
⟨fintype.of_finset f.support (λ _, mem_support_iff)⟩
lemma support_subset_iff {s : set α} {f : α →₀ β} :
↑f.support ⊆ s ↔ (∀a∉s, f a = 0) :=
by simp only [set.subset_def, mem_coe, mem_support_iff];
exact forall_congr (assume a, @not_imp_comm _ _ (classical.dec _) (classical.dec _))
/-- Given `fintype α`, `equiv_fun_on_fintype` is the `equiv` between `α →₀ β` and `α → β`.
(All functions on a finite type are finitely supported.) -/
def equiv_fun_on_fintype [fintype α] : (α →₀ β) ≃ (α → β) :=
⟨λf a, f a, λf, mk (finset.univ.filter $ λa, f a ≠ 0) f (by simp only [true_and, finset.mem_univ,
iff_self, finset.mem_filter, finset.filter_congr_decidable, forall_true_iff]),
begin intro f, ext a, refl end,
begin intro f, ext a, refl end⟩
end basic
/-! ### Declarations about `single` -/
section single
variables [has_zero β] {a a' : α} {b : β}
/-- `single a b` is the finitely supported function which has
value `b` at `a` and zero otherwise. -/
def single (a : α) (b : β) : α →₀ β :=
⟨if b = 0 then ∅ else {a}, λ a', if a = a' then b else 0, λ a', begin
by_cases hb : b = 0; by_cases a = a';
simp only [hb, h, if_pos, if_false, mem_singleton],
{ exact ⟨false.elim, λ H, H rfl⟩ },
{ exact ⟨false.elim, λ H, H rfl⟩ },
{ exact ⟨λ _, hb, λ _, rfl⟩ },
{ exact ⟨λ H _, h H.symm, λ H, (H rfl).elim⟩ }
end⟩
lemma single_apply : (single a b : α →₀ β) a' = if a = a' then b else 0 :=
rfl
@[simp] lemma single_eq_same : (single a b : α →₀ β) a = b :=
if_pos rfl
@[simp] lemma single_eq_of_ne (h : a ≠ a') : (single a b : α →₀ β) a' = 0 :=
if_neg h
@[simp] lemma single_zero : (single a 0 : α →₀ β) = 0 :=
ext $ assume a',
begin
by_cases h : a = a',
{ rw [h, single_eq_same, zero_apply] },
{ rw [single_eq_of_ne h, zero_apply] }
end
lemma support_single_ne_zero (hb : b ≠ 0) : (single a b).support = {a} :=
if_neg hb
lemma support_single_subset : (single a b).support ⊆ {a} :=
show ite _ _ _ ⊆ _, by split_ifs; [exact empty_subset _, exact subset.refl _]
lemma injective_single (a : α) : function.injective (single a : β → α →₀ β) :=
assume b₁ b₂ eq,
have (single a b₁ : α →₀ β) a = (single a b₂ : α →₀ β) a, by rw eq,
by rwa [single_eq_same, single_eq_same] at this
lemma single_eq_single_iff (a₁ a₂ : α) (b₁ b₂ : β) :
single a₁ b₁ = single a₂ b₂ ↔ ((a₁ = a₂ ∧ b₁ = b₂) ∨ (b₁ = 0 ∧ b₂ = 0)) :=
begin
split,
{ assume eq,
by_cases a₁ = a₂,
{ refine or.inl ⟨h, _⟩,
rwa [h, (injective_single a₂).eq_iff] at eq },
{ rw [ext_iff] at eq,
have h₁ := eq a₁,
have h₂ := eq a₂,
simp only [single_eq_same, single_eq_of_ne h, single_eq_of_ne (ne.symm h)] at h₁ h₂,
exact or.inr ⟨h₁, h₂.symm⟩ } },
{ rintros (⟨rfl, rfl⟩ | ⟨rfl, rfl⟩),
{ refl },
{ rw [single_zero, single_zero] } }
end
lemma single_left_inj (h : b ≠ 0) :
single a b = single a' b ↔ a = a' :=
⟨λ H, by simpa only [h, single_eq_single_iff,
and_false, or_false, eq_self_iff_true, and_true] using H,
λ H, by rw [H]⟩
lemma single_eq_zero : single a b = 0 ↔ b = 0 :=
⟨λ h, by { rw ext_iff at h, simpa only [single_eq_same, zero_apply] using h a },
λ h, by rw [h, single_zero]⟩
lemma single_swap {α β : Type*} [has_zero β] (a₁ a₂ : α) (b : β) :
(single a₁ b : α → β) a₂ = (single a₂ b : α → β) a₁ :=
by simp only [single_apply]; ac_refl
lemma unique_single [unique α] (x : α →₀ β) : x = single (default α) (x (default α)) :=
by ext i; simp only [unique.eq_default i, single_eq_same]
@[simp] lemma unique_single_eq_iff [unique α] {b' : β} :
single a b = single a' b' ↔ b = b' :=
begin
rw [single_eq_single_iff],
split,
{ rintros (⟨_, rfl⟩ | ⟨rfl, rfl⟩); refl },
{ intro h, left, exact ⟨subsingleton.elim _ _, h⟩ }
end
end single
/-! ### Declarations about `on_finset` -/
section on_finset
variables [has_zero β]
/-- `on_finset s f hf` is the finsupp function representing `f` restricted to the finset `s`.
The function needs to be `0` outside of `s`. Use this when the set needs to be filtered anyways,
otherwise a better set representation is often available. -/
def on_finset (s : finset α) (f : α → β) (hf : ∀a, f a ≠ 0 → a ∈ s) : α →₀ β :=
⟨s.filter (λa, f a ≠ 0), f,
assume a, classical.by_cases
(assume h : f a = 0, by rw mem_filter; exact ⟨and.right, λ H, (H h).elim⟩)
(assume h : f a ≠ 0, by rw mem_filter; simp only [iff_true_intro h, hf a h, true_and])⟩
@[simp] lemma on_finset_apply {s : finset α} {f : α → β} {hf a} :
(on_finset s f hf : α →₀ β) a = f a :=
rfl
@[simp] lemma support_on_finset_subset {s : finset α} {f : α → β} {hf} :
(on_finset s f hf).support ⊆ s :=
filter_subset _
end on_finset
/-! ### Declarations about `map_range` -/
section map_range
variables [has_zero β₁] [has_zero β₂]
/-- The composition of `f : β₁ → β₂` and `g : α →₀ β₁` is
`map_range f hf g : α →₀ β₂`, well-defined when `f 0 = 0`. -/
def map_range (f : β₁ → β₂) (hf : f 0 = 0) (g : α →₀ β₁) : α →₀ β₂ :=
on_finset g.support (f ∘ g) $
assume a, by rw [mem_support_iff, not_imp_not]; exact λ H, (congr_arg f H).trans hf
@[simp] lemma map_range_apply {f : β₁ → β₂} {hf : f 0 = 0} {g : α →₀ β₁} {a : α} :
map_range f hf g a = f (g a) :=
rfl
@[simp] lemma map_range_zero {f : β₁ → β₂} {hf : f 0 = 0} : map_range f hf (0 : α →₀ β₁) = 0 :=
ext $ λ a, by simp only [hf, zero_apply, map_range_apply]
lemma support_map_range {f : β₁ → β₂} {hf : f 0 = 0} {g : α →₀ β₁} :
(map_range f hf g).support ⊆ g.support :=
support_on_finset_subset
@[simp] lemma map_range_single {f : β₁ → β₂} {hf : f 0 = 0} {a : α} {b : β₁} :
map_range f hf (single a b) = single a (f b) :=
ext $ λ a', show f (ite _ _ _) = ite _ _ _, by split_ifs; [refl, exact hf]
end map_range
/-! ### Declarations about `emb_domain` -/
section emb_domain
variables [has_zero β]
/-- Given `f : α₁ ↪ α₂` and `v : α₁ →₀ β`, `emb_domain f v : α₂ →₀ β`
is the finitely supported function whose value at `f a : α₂` is `v a`.
For a `b : α₂` outside the range of `f`, it is zero. -/
def emb_domain (f : α₁ ↪ α₂) (v : α₁ →₀ β) : α₂ →₀ β :=
begin
refine ⟨v.support.map f, λa₂,
if h : a₂ ∈ v.support.map f then v (v.support.choose (λa₁, f a₁ = a₂) _) else 0, _⟩,
{ rcases finset.mem_map.1 h with ⟨a, ha, rfl⟩,
exact exists_unique.intro a ⟨ha, rfl⟩ (assume b ⟨_, hb⟩, f.inj hb) },
{ assume a₂,
split_ifs,
{ simp only [h, true_iff, ne.def],
rw [← not_mem_support_iff, not_not],
apply finset.choose_mem },
{ simp only [h, ne.def, ne_self_iff_false] } }
end
lemma support_emb_domain (f : α₁ ↪ α₂) (v : α₁ →₀ β) :
(emb_domain f v).support = v.support.map f :=
rfl
lemma emb_domain_zero (f : α₁ ↪ α₂) : (emb_domain f 0 : α₂ →₀ β) = 0 :=
rfl
lemma emb_domain_apply (f : α₁ ↪ α₂) (v : α₁ →₀ β) (a : α₁) :
emb_domain f v (f a) = v a :=
begin
change dite _ _ _ = _,
split_ifs; rw [finset.mem_map' f] at h,
{ refine congr_arg (v : α₁ → β) (f.inj' _),
exact finset.choose_property (λa₁, f a₁ = f a) _ _ },
{ exact (not_mem_support_iff.1 h).symm }
end
lemma emb_domain_notin_range (f : α₁ ↪ α₂) (v : α₁ →₀ β) (a : α₂) (h : a ∉ set.range f) :
emb_domain f v a = 0 :=
begin
refine dif_neg (mt (assume h, _) h),
rcases finset.mem_map.1 h with ⟨a, h, rfl⟩,
exact set.mem_range_self a
end
lemma emb_domain_inj {f : α₁ ↪ α₂} {l₁ l₂ : α₁ →₀ β} :
emb_domain f l₁ = emb_domain f l₂ ↔ l₁ = l₂ :=
⟨λ h, ext $ λ a, by simpa only [emb_domain_apply] using ext_iff.1 h (f a),
λ h, by rw h⟩
lemma emb_domain_map_range
{β₁ β₂ : Type*} [has_zero β₁] [has_zero β₂]
(f : α₁ ↪ α₂) (g : β₁ → β₂) (p : α₁ →₀ β₁) (hg : g 0 = 0) :
emb_domain f (map_range g hg p) = map_range g hg (emb_domain f p) :=
begin
ext a,
by_cases a ∈ set.range f,
{ rcases h with ⟨a', rfl⟩,
rw [map_range_apply, emb_domain_apply, emb_domain_apply, map_range_apply] },
{ rw [map_range_apply, emb_domain_notin_range, emb_domain_notin_range, ← hg]; assumption }
end
lemma single_of_emb_domain_single
(l : α₁ →₀ β) (f : α₁ ↪ α₂) (a : α₂) (b : β) (hb : b ≠ 0)
(h : l.emb_domain f = single a b) :
∃ x, l = single x b ∧ f x = a :=
begin
have h_map_support : finset.map f (l.support) = {a},
by rw [←support_emb_domain, h, support_single_ne_zero hb]; refl,
have ha : a ∈ finset.map f (l.support),
by simp only [h_map_support, finset.mem_singleton],
rcases finset.mem_map.1 ha with ⟨c, hc₁, hc₂⟩,
use c,
split,
{ ext d,
rw [← emb_domain_apply f l, h],
by_cases h_cases : c = d,
{ simp only [eq.symm h_cases, hc₂, single_eq_same] },
{ rw [single_apply, single_apply, if_neg, if_neg h_cases],
by_contra hfd,
exact h_cases (f.inj (hc₂.trans hfd)) } },
{ exact hc₂ }
end
end emb_domain
/-! ### Declarations about `zip_with` -/
section zip_with
variables [has_zero β] [has_zero β₁] [has_zero β₂]
/-- `zip_with f hf g₁ g₂` is the finitely supported function satisfying
`zip_with f hf g₁ g₂ a = f (g₁ a) (g₂ a)`, and it is well-defined when `f 0 0 = 0`. -/
def zip_with (f : β₁ → β₂ → β) (hf : f 0 0 = 0) (g₁ : α →₀ β₁) (g₂ : α →₀ β₂) : (α →₀ β) :=
on_finset (g₁.support ∪ g₂.support) (λa, f (g₁ a) (g₂ a)) $ λ a H,
begin
simp only [mem_union, mem_support_iff, ne], rw [← not_and_distrib],
rintro ⟨h₁, h₂⟩, rw [h₁, h₂] at H, exact H hf
end
@[simp] lemma zip_with_apply
{f : β₁ → β₂ → β} {hf : f 0 0 = 0} {g₁ : α →₀ β₁} {g₂ : α →₀ β₂} {a : α} :
zip_with f hf g₁ g₂ a = f (g₁ a) (g₂ a) :=
rfl
lemma support_zip_with {f : β₁ → β₂ → β} {hf : f 0 0 = 0} {g₁ : α →₀ β₁} {g₂ : α →₀ β₂} :
(zip_with f hf g₁ g₂).support ⊆ g₁.support ∪ g₂.support :=
support_on_finset_subset
end zip_with
/-! ### Declarations about `erase` -/
section erase
/-- `erase a f` is the finitely supported function equal to `f` except at `a` where it is equal to
`0`. -/
def erase [has_zero β] (a : α) (f : α →₀ β) : α →₀ β :=
⟨f.support.erase a, (λa', if a' = a then 0 else f a'),
assume a', by rw [mem_erase, mem_support_iff]; split_ifs;
[exact ⟨λ H _, H.1 h, λ H, (H rfl).elim⟩,
exact and_iff_right h]⟩
@[simp] lemma support_erase [has_zero β] {a : α} {f : α →₀ β} :
(f.erase a).support = f.support.erase a :=
rfl
@[simp] lemma erase_same [has_zero β] {a : α} {f : α →₀ β} : (f.erase a) a = 0 :=
if_pos rfl
@[simp] lemma erase_ne [has_zero β] {a a' : α} {f : α →₀ β} (h : a' ≠ a) : (f.erase a) a' = f a' :=
if_neg h
@[simp] lemma erase_single [has_zero β] {a : α} {b : β} : (erase a (single a b)) = 0 := begin
ext s, by_cases hs : s = a,
{ rw [hs, erase_same], refl },
{ rw [erase_ne hs], exact single_eq_of_ne (ne.symm hs) }
end
lemma erase_single_ne [has_zero β] {a a' : α} {b : β} (h : a ≠ a') : (erase a (single a' b)) = single a' b :=
begin
ext s, by_cases hs : s = a,
{ rw [hs, erase_same, single_eq_of_ne (h.symm)] },
{ rw [erase_ne hs] }
end
end erase
/-!
### Declarations about `sum` and `prod`
In most of this section, the domain `β` is assumed to be an `add_monoid`.
-/
-- [to_additive sum] for finsupp.prod doesn't work, the equation lemmas are not generated
/-- `sum f g` is the sum of `g a (f a)` over the support of `f`. -/
def sum [has_zero β] [add_comm_monoid γ] (f : α →₀ β) (g : α → β → γ) : γ :=
f.support.sum (λa, g a (f a))
/-- `prod f g` is the product of `g a (f a)` over the support of `f`. -/
@[to_additive]
def prod [has_zero β] [comm_monoid γ] (f : α →₀ β) (g : α → β → γ) : γ :=
f.support.prod (λa, g a (f a))
@[to_additive]
lemma prod_map_range_index [has_zero β₁] [has_zero β₂] [comm_monoid γ]
{f : β₁ → β₂} {hf : f 0 = 0} {g : α →₀ β₁} {h : α → β₂ → γ} (h0 : ∀a, h a 0 = 1) :
(map_range f hf g).prod h = g.prod (λa b, h a (f b)) :=
finset.prod_subset support_map_range $ λ _ _ H,
by rw [not_mem_support_iff.1 H, h0]
@[to_additive]
lemma prod_zero_index [add_comm_monoid β] [comm_monoid γ] {h : α → β → γ} :
(0 : α →₀ β).prod h = 1 :=
rfl
@[to_additive]
lemma prod_comm {α' : Type*} [has_zero β] {β' : Type*} [has_zero β'] (f : α →₀ β) (g : α' →₀ β')
[comm_monoid γ] (h : α → β → α' → β' → γ) :
f.prod (λ x v, g.prod (λ x' v', h x v x' v')) = g.prod (λ x' v', f.prod (λ x v, h x v x' v')) :=
begin
dsimp [finsupp.prod],
rw finset.prod_comm,
end
@[simp, to_additive]
lemma prod_ite_eq [has_zero β] [comm_monoid γ] (f : α →₀ β) (a : α) (b : α → β → γ) :
f.prod (λ x v, ite (a = x) (b x v) 1) = ite (a ∈ f.support) (b a (f a)) 1 :=
by { dsimp [finsupp.prod], rw f.support.prod_ite_eq, }
/-- A restatement of `prod_ite_eq` with the equality test reversed. -/
@[simp, to_additive "A restatement of `sum_ite_eq` with the equality test reversed."]
lemma prod_ite_eq' [has_zero β] [comm_monoid γ] (f : α →₀ β) (a : α) (b : α → β → γ) :
f.prod (λ x v, ite (x = a) (b x v) 1) = ite (a ∈ f.support) (b a (f a)) 1 :=
by { dsimp [finsupp.prod], rw f.support.prod_ite_eq', }
@[simp] lemma prod_pow [fintype α] [comm_monoid γ] (f : α →₀ ℕ) (g : α → γ) :
f.prod (λ a b, g a ^ b) = ∏ a, g a ^ (f a) :=
begin
apply prod_subset (finset.subset_univ _),
intros a _ ha,
simp only [finsupp.not_mem_support_iff.mp ha, pow_zero]
end
section add_monoid
variables [add_monoid β]
@[to_additive]
lemma prod_single_index [comm_monoid γ] {a : α} {b : β} {h : α → β → γ} (h_zero : h a 0 = 1) :
(single a b).prod h = h a b :=
begin
by_cases h : b = 0,
{ simp only [h, h_zero, single_zero]; refl },
{ simp only [finsupp.prod, support_single_ne_zero h, prod_singleton, single_eq_same] }
end
instance : has_add (α →₀ β) := ⟨zip_with (+) (add_zero 0)⟩
@[simp] lemma add_apply {g₁ g₂ : α →₀ β} {a : α} : (g₁ + g₂) a = g₁ a + g₂ a :=
rfl
lemma support_add {g₁ g₂ : α →₀ β} : (g₁ + g₂).support ⊆ g₁.support ∪ g₂.support :=
support_zip_with
lemma support_add_eq {g₁ g₂ : α →₀ β} (h : disjoint g₁.support g₂.support) :
(g₁ + g₂).support = g₁.support ∪ g₂.support :=
le_antisymm support_zip_with $ assume a ha,
(finset.mem_union.1 ha).elim
(assume ha, have a ∉ g₂.support, from disjoint_left.1 h ha,
by simp only [mem_support_iff, not_not] at *;
simpa only [add_apply, this, add_zero])
(assume ha, have a ∉ g₁.support, from disjoint_right.1 h ha,
by simp only [mem_support_iff, not_not] at *;
simpa only [add_apply, this, zero_add])
@[simp] lemma single_add {a : α} {b₁ b₂ : β} : single a (b₁ + b₂) = single a b₁ + single a b₂ :=
ext $ assume a',
begin
by_cases h : a = a',
{ rw [h, add_apply, single_eq_same, single_eq_same, single_eq_same] },
{ rw [add_apply, single_eq_of_ne h, single_eq_of_ne h, single_eq_of_ne h, zero_add] }
end
instance : add_monoid (α →₀ β) :=
{ add_monoid .
zero := 0,
add := (+),
add_assoc := assume ⟨s, f, hf⟩ ⟨t, g, hg⟩ ⟨u, h, hh⟩, ext $ assume a, add_assoc _ _ _,
zero_add := assume ⟨s, f, hf⟩, ext $ assume a, zero_add _,
add_zero := assume ⟨s, f, hf⟩, ext $ assume a, add_zero _ }
instance (a : α) : is_add_monoid_hom (λ g : α →₀ β, g a) :=
{ map_add := λ _ _, add_apply, map_zero := zero_apply }
lemma single_add_erase {a : α} {f : α →₀ β} : single a (f a) + f.erase a = f :=
ext $ λ a',
if h : a = a' then by subst h; simp only [add_apply, single_eq_same, erase_same, add_zero]
else by simp only [add_apply, single_eq_of_ne h, zero_add, erase_ne (ne.symm h)]
lemma erase_add_single {a : α} {f : α →₀ β} : f.erase a + single a (f a) = f :=
ext $ λ a',
if h : a = a' then by subst h; simp only [add_apply, single_eq_same, erase_same, zero_add]
else by simp only [add_apply, single_eq_of_ne h, add_zero, erase_ne (ne.symm h)]
@[simp] lemma erase_add (a : α) (f f' : α →₀ β) : erase a (f + f') = erase a f + erase a f' :=
begin
ext s, by_cases hs : s = a,
{ rw [hs, add_apply, erase_same, erase_same, erase_same, add_zero] },
rw [add_apply, erase_ne hs, erase_ne hs, erase_ne hs, add_apply],
end
@[elab_as_eliminator]
protected theorem induction {p : (α →₀ β) → Prop} (f : α →₀ β)
(h0 : p 0) (ha : ∀a b (f : α →₀ β), a ∉ f.support → b ≠ 0 → p f → p (single a b + f)) :
p f :=
suffices ∀s (f : α →₀ β), f.support = s → p f, from this _ _ rfl,
assume s, finset.induction_on s (λ f hf, by rwa [support_eq_empty.1 hf]) $
assume a s has ih f hf,
suffices p (single a (f a) + f.erase a), by rwa [single_add_erase] at this,
begin
apply ha,
{ rw [support_erase, mem_erase], exact λ H, H.1 rfl },
{ rw [← mem_support_iff, hf], exact mem_insert_self _ _ },
{ apply ih _ _,
rw [support_erase, hf, finset.erase_insert has] }
end
lemma induction₂ {p : (α →₀ β) → Prop} (f : α →₀ β)
(h0 : p 0) (ha : ∀a b (f : α →₀ β), a ∉ f.support → b ≠ 0 → p f → p (f + single a b)) :
p f :=
suffices ∀s (f : α →₀ β), f.support = s → p f, from this _ _ rfl,
assume s, finset.induction_on s (λ f hf, by rwa [support_eq_empty.1 hf]) $
assume a s has ih f hf,
suffices p (f.erase a + single a (f a)), by rwa [erase_add_single] at this,
begin
apply ha,
{ rw [support_erase, mem_erase], exact λ H, H.1 rfl },
{ rw [← mem_support_iff, hf], exact mem_insert_self _ _ },
{ apply ih _ _,
rw [support_erase, hf, finset.erase_insert has] }
end
lemma map_range_add [add_monoid β₁] [add_monoid β₂]
{f : β₁ → β₂} {hf : f 0 = 0} (hf' : ∀ x y, f (x + y) = f x + f y) (v₁ v₂ : α →₀ β₁) :
map_range f hf (v₁ + v₂) = map_range f hf v₁ + map_range f hf v₂ :=
ext $ λ a, by simp only [hf', add_apply, map_range_apply]
end add_monoid
section nat_sub
instance nat_sub : has_sub (α →₀ ℕ) := ⟨zip_with (λ m n, m - n) (nat.sub_zero 0)⟩
@[simp] lemma nat_sub_apply {g₁ g₂ : α →₀ ℕ} {a : α} :
(g₁ - g₂) a = g₁ a - g₂ a :=
rfl
@[simp] lemma single_sub {a : α} {n₁ n₂ : ℕ} : single a (n₁ - n₂) = single a n₁ - single a n₂ :=
begin
ext f,
by_cases h : (a = f),
{ rw [h, nat_sub_apply, single_eq_same, single_eq_same, single_eq_same] },
rw [nat_sub_apply, single_eq_of_ne h, single_eq_of_ne h, single_eq_of_ne h]
end
-- These next two lemmas are used in developing
-- the partial derivative on `mv_polynomial`.
lemma sub_single_one_add {a : α} {u u' : α →₀ ℕ} (h : u a ≠ 0) :
u - single a 1 + u' = u + u' - single a 1 :=
begin
ext b,
rw [add_apply, nat_sub_apply, nat_sub_apply, add_apply],
by_cases h : a = b,
{ rw [←h, single_eq_same], cases (u a), { contradiction }, { simp }, },
{ simp [h], }
end
lemma add_sub_single_one {a : α} {u u' : α →₀ ℕ} (h : u' a ≠ 0) :
u + (u' - single a 1) = u + u' - single a 1 :=
begin
ext b,
rw [add_apply, nat_sub_apply, nat_sub_apply, add_apply],
by_cases h : a = b,
{ rw [←h, single_eq_same], cases (u' a), { contradiction }, { simp }, },
{ simp [h], }
end
end nat_sub
instance [add_comm_monoid β] : add_comm_monoid (α →₀ β) :=
{ add_comm := assume ⟨s, f, _⟩ ⟨t, g, _⟩, ext $ assume a, add_comm _ _,
.. finsupp.add_monoid }
instance [add_group β] : add_group (α →₀ β) :=
{ neg := map_range (has_neg.neg) neg_zero,
add_left_neg := assume ⟨s, f, _⟩, ext $ assume x, add_left_neg _,
.. finsupp.add_monoid }
lemma single_multiset_sum [add_comm_monoid β] (s : multiset β) (a : α) :
single a s.sum = (s.map (single a)).sum :=
multiset.induction_on s single_zero $ λ a s ih,
by rw [multiset.sum_cons, single_add, ih, multiset.map_cons, multiset.sum_cons]
lemma single_finset_sum [add_comm_monoid β] (s : finset γ) (f : γ → β) (a : α) :
single a (s.sum f) = s.sum (λb, single a (f b)) :=
begin
transitivity,
apply single_multiset_sum,
rw [multiset.map_map],
refl
end
lemma single_sum [has_zero γ] [add_comm_monoid β] (s : δ →₀ γ) (f : δ → γ → β) (a : α) :
single a (s.sum f) = s.sum (λd c, single a (f d c)) :=
single_finset_sum _ _ _
@[to_additive]
lemma prod_neg_index [add_group β] [comm_monoid γ]
{g : α →₀ β} {h : α → β → γ} (h0 : ∀a, h a 0 = 1) :
(-g).prod h = g.prod (λa b, h a (- b)) :=
prod_map_range_index h0
@[simp] lemma neg_apply [add_group β] {g : α →₀ β} {a : α} : (- g) a = - g a :=
rfl
@[simp] lemma sub_apply [add_group β] {g₁ g₂ : α →₀ β} {a : α} : (g₁ - g₂) a = g₁ a - g₂ a :=
rfl
@[simp] lemma support_neg [add_group β] {f : α →₀ β} : support (-f) = support f :=
finset.subset.antisymm
support_map_range
(calc support f = support (- (- f)) : congr_arg support (neg_neg _).symm
... ⊆ support (- f) : support_map_range)
instance [add_comm_group β] : add_comm_group (α →₀ β) :=
{ add_comm := add_comm, ..finsupp.add_group }
@[simp] lemma sum_apply [has_zero β₁] [add_comm_monoid β]
{f : α₁ →₀ β₁} {g : α₁ → β₁ → α →₀ β} {a₂ : α} :
(f.sum g) a₂ = f.sum (λa₁ b, g a₁ b a₂) :=
(f.support.sum_hom (λf : α →₀ β, f a₂)).symm
lemma support_sum [has_zero β₁] [add_comm_monoid β]
{f : α₁ →₀ β₁} {g : α₁ → β₁ → (α →₀ β)} :
(f.sum g).support ⊆ f.support.bind (λa, (g a (f a)).support) :=
have ∀a₁ : α, f.sum (λ (a : α₁) (b : β₁), (g a b) a₁) ≠ 0 →
(∃ (a : α₁), f a ≠ 0 ∧ ¬ (g a (f a)) a₁ = 0),
from assume a₁ h,
let ⟨a, ha, ne⟩ := finset.exists_ne_zero_of_sum_ne_zero h in
⟨a, mem_support_iff.mp ha, ne⟩,
by simpa only [finset.subset_iff, mem_support_iff, finset.mem_bind, sum_apply, exists_prop]
using this
@[simp] lemma sum_zero [add_comm_monoid β] [add_comm_monoid γ] {f : α →₀ β} :
f.sum (λa b, (0 : γ)) = 0 :=
finset.sum_const_zero
@[simp] lemma sum_add [add_comm_monoid β] [add_comm_monoid γ] {f : α →₀ β}
{h₁ h₂ : α → β → γ} :
f.sum (λa b, h₁ a b + h₂ a b) = f.sum h₁ + f.sum h₂ :=
finset.sum_add_distrib
@[simp] lemma sum_neg [add_comm_monoid β] [add_comm_group γ] {f : α →₀ β}
{h : α → β → γ} : f.sum (λa b, - h a b) = - f.sum h :=
f.support.sum_hom (@has_neg.neg γ _)
@[simp] lemma sum_sub [add_comm_monoid β] [add_comm_group γ] {f : α →₀ β}
{h₁ h₂ : α → β → γ} :
f.sum (λa b, h₁ a b - h₂ a b) = f.sum h₁ - f.sum h₂ :=
by rw [sub_eq_add_neg, ←sum_neg, ←sum_add]; refl
@[simp] lemma sum_single [add_comm_monoid β] (f : α →₀ β) :
f.sum single = f :=
have ∀a:α, f.sum (λa' b, ite (a' = a) b 0) =
({a} : finset α).sum (λa', ite (a' = a) (f a') 0),
begin
intro a,
by_cases h : a ∈ f.support,
{ have : ({a} : finset α) ⊆ f.support,
{ simpa only [finset.subset_iff, mem_singleton, forall_eq] },
refine (finset.sum_subset this (λ _ _ H, _)).symm,
exact if_neg (mt mem_singleton.2 H) },
{ transitivity (f.support.sum (λa, (0 : β))),
{ refine (finset.sum_congr rfl $ λ a' ha', if_neg _),
rintro rfl, exact h ha' },
{ rw [sum_const_zero, sum_singleton, if_pos rfl, not_mem_support_iff.1 h] } }
end,
ext $ assume a, by simp only [sum_apply, single_apply, this, sum_singleton, if_pos]
@[to_additive]
lemma prod_add_index [add_comm_monoid β] [comm_monoid γ] {f g : α →₀ β}
{h : α → β → γ} (h_zero : ∀a, h a 0 = 1) (h_add : ∀a b₁ b₂, h a (b₁ + b₂) = h a b₁ * h a b₂) :
(f + g).prod h = f.prod h * g.prod h :=
have f_eq : (f.support ∪ g.support).prod (λa, h a (f a)) = f.prod h,
from (finset.prod_subset (finset.subset_union_left _ _) $
by intros _ _ H; rw [not_mem_support_iff.1 H, h_zero]).symm,
have g_eq : (f.support ∪ g.support).prod (λa, h a (g a)) = g.prod h,
from (finset.prod_subset (finset.subset_union_right _ _) $
by intros _ _ H; rw [not_mem_support_iff.1 H, h_zero]).symm,
calc (f + g).support.prod (λa, h a ((f + g) a)) =
(f.support ∪ g.support).prod (λa, h a ((f + g) a)) :
finset.prod_subset support_add $
by intros _ _ H; rw [not_mem_support_iff.1 H, h_zero]
... = (f.support ∪ g.support).prod (λa, h a (f a)) *
(f.support ∪ g.support).prod (λa, h a (g a)) :
by simp only [add_apply, h_add, finset.prod_mul_distrib]
... = _ : by rw [f_eq, g_eq]
lemma sum_sub_index [add_comm_group β] [add_comm_group γ] {f g : α →₀ β}
{h : α → β → γ} (h_sub : ∀a b₁ b₂, h a (b₁ - b₂) = h a b₁ - h a b₂) :
(f - g).sum h = f.sum h - g.sum h :=
have h_zero : ∀a, h a 0 = 0,
from assume a,
have h a (0 - 0) = h a 0 - h a 0, from h_sub a 0 0,
by simpa only [sub_self] using this,
have h_neg : ∀a b, h a (- b) = - h a b,
from assume a b,
have h a (0 - b) = h a 0 - h a b, from h_sub a 0 b,
by simpa only [h_zero, zero_sub] using this,
have h_add : ∀a b₁ b₂, h a (b₁ + b₂) = h a b₁ + h a b₂,
from assume a b₁ b₂,
have h a (b₁ - (- b₂)) = h a b₁ - h a (- b₂), from h_sub a b₁ (-b₂),
by simpa only [h_neg, sub_neg_eq_add] using this,
calc (f - g).sum h = (f + - g).sum h : rfl
... = f.sum h + - g.sum h : by simp only [sum_add_index h_zero h_add, sum_neg_index h_zero,
h_neg, sum_neg]
... = f.sum h - g.sum h : rfl
@[to_additive]
lemma prod_finset_sum_index [add_comm_monoid β] [comm_monoid γ]
{s : finset ι} {g : ι → α →₀ β}
{h : α → β → γ} (h_zero : ∀a, h a 0 = 1) (h_add : ∀a b₁ b₂, h a (b₁ + b₂) = h a b₁ * h a b₂) :
s.prod (λi, (g i).prod h) = (s.sum g).prod h :=
finset.induction_on s rfl $ λ a s has ih,
by rw [prod_insert has, ih, sum_insert has, prod_add_index h_zero h_add]
@[to_additive]
lemma prod_sum_index
[add_comm_monoid β₁] [add_comm_monoid β] [comm_monoid γ]
{f : α₁ →₀ β₁} {g : α₁ → β₁ → α →₀ β}
{h : α → β → γ} (h_zero : ∀a, h a 0 = 1) (h_add : ∀a b₁ b₂, h a (b₁ + b₂) = h a b₁ * h a b₂) :
(f.sum g).prod h = f.prod (λa b, (g a b).prod h) :=
(prod_finset_sum_index h_zero h_add).symm
lemma multiset_sum_sum_index
[add_comm_monoid β] [add_comm_monoid γ]
(f : multiset (α →₀ β)) (h : α → β → γ)
(h₀ : ∀a, h a 0 = 0) (h₁ : ∀ (a : α) (b₁ b₂ : β), h a (b₁ + b₂) = h a b₁ + h a b₂) :
(f.sum.sum h) = (f.map $ λg:α →₀ β, g.sum h).sum :=
multiset.induction_on f rfl $ assume a s ih,
by rw [multiset.sum_cons, multiset.map_cons, multiset.sum_cons, sum_add_index h₀ h₁, ih]
lemma multiset_map_sum [has_zero β] {f : α →₀ β} {m : γ → δ} {h : α → β → multiset γ} :
multiset.map m (f.sum h) = f.sum (λa b, (h a b).map m) :=
(f.support.sum_hom _).symm
lemma multiset_sum_sum [has_zero β] [add_comm_monoid γ] {f : α →₀ β} {h : α → β → multiset γ} :
multiset.sum (f.sum h) = f.sum (λa b, multiset.sum (h a b)) :=
(f.support.sum_hom multiset.sum).symm
section map_range
variables
[add_comm_monoid β₁] [add_comm_monoid β₂]
(f : β₁ → β₂) [hf : is_add_monoid_hom f]
instance is_add_monoid_hom_map_range :
is_add_monoid_hom (map_range f hf.map_zero : (α →₀ β₁) → (α →₀ β₂)) :=
{ map_zero := map_range_zero, map_add := λ a b, map_range_add hf.map_add _ _ }
lemma map_range_multiset_sum (m : multiset (α →₀ β₁)) :
map_range f hf.map_zero m.sum = (m.map $ λx, map_range f hf.map_zero x).sum :=
(m.sum_hom (map_range f hf.map_zero)).symm
lemma map_range_finset_sum {ι : Type*} (s : finset ι) (g : ι → (α →₀ β₁)) :
map_range f hf.map_zero (s.sum g) = s.sum (λx, map_range f hf.map_zero (g x)) :=
by rw [finset.sum.equations._eqn_1, map_range_multiset_sum, multiset.map_map]; refl
end map_range
/-! ### Declarations about `map_domain` -/
section map_domain
variables [add_comm_monoid β] {v v₁ v₂ : α →₀ β}
/-- Given `f : α₁ → α₂` and `v : α₁ →₀ β`, `map_domain f v : α₂ →₀ β`
is the finitely supported function whose value at `a : α₂` is the sum
of `v x` over all `x` such that `f x = a`. -/
def map_domain (f : α₁ → α₂) (v : α₁ →₀ β) : α₂ →₀ β :=
v.sum $ λa, single (f a)
lemma map_domain_apply {f : α₁ → α₂} (hf : function.injective f) (x : α₁ →₀ β) (a : α₁) :
map_domain f x (f a) = x a :=
begin
rw [map_domain, sum_apply, sum, finset.sum_eq_single a, single_eq_same],
{ assume b _ hba, exact single_eq_of_ne (hf.ne hba) },
{ simp only [(∉), (≠), not_not, mem_support_iff],
assume h,
rw [h, single_zero],
refl }
end
lemma map_domain_notin_range {f : α₁ → α₂} (x : α₁ →₀ β) (a : α₂) (h : a ∉ set.range f) :
map_domain f x a = 0 :=
begin
rw [map_domain, sum_apply, sum],
exact finset.sum_eq_zero
(assume a' h', single_eq_of_ne $ assume eq, h $ eq ▸ set.mem_range_self _)
end
lemma map_domain_id : map_domain id v = v :=
sum_single _
lemma map_domain_comp {f : α → α₁} {g : α₁ → α₂} :
map_domain (g ∘ f) v = map_domain g (map_domain f v) :=
begin
refine ((sum_sum_index _ _).trans _).symm,
{ intros, exact single_zero },
{ intros, exact single_add },
refine sum_congr rfl (λ _ _, sum_single_index _),
{ exact single_zero }
end
lemma map_domain_single {f : α → α₁} {a : α} {b : β} : map_domain f (single a b) = single (f a) b :=
sum_single_index single_zero
@[simp] lemma map_domain_zero {f : α → α₂} : map_domain f 0 = (0 : α₂ →₀ β) :=
sum_zero_index
lemma map_domain_congr {f g : α → α₂} (h : ∀x∈v.support, f x = g x) :
v.map_domain f = v.map_domain g :=
finset.sum_congr rfl $ λ _ H, by simp only [h _ H]
lemma map_domain_add {f : α → α₂} : map_domain f (v₁ + v₂) = map_domain f v₁ + map_domain f v₂ :=
sum_add_index (λ _, single_zero) (λ _ _ _, single_add)
lemma map_domain_finset_sum {f : α → α₂} {s : finset ι} {v : ι → α →₀ β} :
map_domain f (s.sum v) = s.sum (λi, map_domain f (v i)) :=
eq.symm $ sum_finset_sum_index (λ _, single_zero) (λ _ _ _, single_add)
lemma map_domain_sum [has_zero β₁] {f : α → α₂} {s : α →₀ β₁} {v : α → β₁ → α →₀ β} :
map_domain f (s.sum v) = s.sum (λa b, map_domain f (v a b)) :=
eq.symm $ sum_finset_sum_index (λ _, single_zero) (λ _ _ _, single_add)
lemma map_domain_support {f : α → α₂} {s : α →₀ β} :
(s.map_domain f).support ⊆ s.support.image f :=
finset.subset.trans support_sum $
finset.subset.trans (finset.bind_mono $ assume a ha, support_single_subset) $
by rw [finset.bind_singleton]; exact subset.refl _
@[to_additive]
lemma prod_map_domain_index [comm_monoid γ] {f : α → α₂} {s : α →₀ β}
{h : α₂ → β → γ} (h_zero : ∀a, h a 0 = 1) (h_add : ∀a b₁ b₂, h a (b₁ + b₂) = h a b₁ * h a b₂) :
(s.map_domain f).prod h = s.prod (λa b, h (f a) b) :=
(prod_sum_index h_zero h_add).trans $ prod_congr rfl $ λ _ _, prod_single_index (h_zero _)
lemma emb_domain_eq_map_domain (f : α₁ ↪ α₂) (v : α₁ →₀ β) :
emb_domain f v = map_domain f v :=
begin
ext a,
by_cases a ∈ set.range f,
{ rcases h with ⟨a, rfl⟩,
rw [map_domain_apply f.inj, emb_domain_apply] },
{ rw [map_domain_notin_range, emb_domain_notin_range]; assumption }
end
lemma injective_map_domain {f : α₁ → α₂} (hf : function.injective f) :
function.injective (map_domain f : (α₁ →₀ β) → (α₂ →₀ β)) :=
begin
assume v₁ v₂ eq, ext a,
have : map_domain f v₁ (f a) = map_domain f v₂ (f a), { rw eq },
rwa [map_domain_apply hf, map_domain_apply hf] at this,
end
end map_domain
/-! ### Declarations about `comap_domain` -/
section comap_domain
/-- Given `f : α₁ → α₂`, `l : α₂ →₀ γ` and a proof `hf` that `f` is injective on
the preimage of `l.support`, `comap_domain f l hf` is the finitely supported function
from `α₁` to `γ` given by composing `l` with `f`. -/
def comap_domain {α₁ α₂ γ : Type*} [has_zero γ]
(f : α₁ → α₂) (l : α₂ →₀ γ) (hf : set.inj_on f (f ⁻¹' ↑l.support)) : α₁ →₀ γ :=
{ support := l.support.preimage hf,
to_fun := (λ a, l (f a)),
mem_support_to_fun :=
begin
intros a,
simp only [finset.mem_def.symm, finset.mem_preimage],
exact l.mem_support_to_fun (f a),
end }
@[simp]
lemma comap_domain_apply {α₁ α₂ γ : Type*} [has_zero γ]
(f : α₁ → α₂) (l : α₂ →₀ γ) (hf : set.inj_on f (f ⁻¹' ↑l.support)) (a : α₁) :
comap_domain f l hf a = l (f a) :=
rfl
lemma sum_comap_domain {α₁ α₂ β γ : Type*} [has_zero β] [add_comm_monoid γ]
(f : α₁ → α₂) (l : α₂ →₀ β) (g : α₂ → β → γ)
(hf : set.bij_on f (f ⁻¹' ↑l.support) ↑l.support) :
(comap_domain f l hf.inj_on).sum (g ∘ f) = l.sum g :=
begin
simp [sum],
simp [comap_domain, finset.sum_preimage f _ _ (λ (x : α₂), g x (l x))]
end
lemma eq_zero_of_comap_domain_eq_zero {α₁ α₂ γ : Type*} [add_comm_monoid γ]
(f : α₁ → α₂) (l : α₂ →₀ γ) (hf : set.bij_on f (f ⁻¹' ↑l.support) ↑l.support) :
comap_domain f l hf.inj_on = 0 → l = 0 :=
begin
rw [← support_eq_empty, ← support_eq_empty, comap_domain],
simp only [finset.ext, finset.not_mem_empty, iff_false, mem_preimage],
assume h a ha,
cases hf.2.2 ha with b hb,
exact h b (hb.2.symm ▸ ha)
end
lemma map_domain_comap_domain {α₁ α₂ γ : Type*} [add_comm_monoid γ]
(f : α₁ → α₂) (l : α₂ →₀ γ)
(hf : function.injective f) (hl : ↑l.support ⊆ set.range f):
map_domain f (comap_domain f l (hf.inj_on _)) = l :=
begin
ext a,
by_cases h_cases: a ∈ set.range f,
{ rcases set.mem_range.1 h_cases with ⟨b, hb⟩,
rw [hb.symm, map_domain_apply hf, comap_domain_apply] },
{ rw map_domain_notin_range _ _ h_cases,
by_contra h_contr,
apply h_cases (hl $ finset.mem_coe.2 $ mem_support_iff.2 $ λ h, h_contr h.symm) }
end
end comap_domain
/-! ### Declarations about `filter` -/
section filter
section has_zero
variables [has_zero β] (p : α → Prop) (f : α →₀ β)
/-- `filter p f` is the function which is `f a` if `p a` is true and 0 otherwise. -/
def filter (p : α → Prop) (f : α →₀ β) : α →₀ β :=
on_finset f.support (λa, if p a then f a else 0) $ λ a H,
mem_support_iff.2 $ λ h, by rw [h, if_t_t] at H; exact H rfl
@[simp] lemma filter_apply_pos {a : α} (h : p a) : f.filter p a = f a :=
if_pos h
@[simp] lemma filter_apply_neg {a : α} (h : ¬ p a) : f.filter p a = 0 :=
if_neg h
@[simp] lemma support_filter : (f.filter p).support = f.support.filter p :=
finset.ext.mpr $ assume a, if H : p a
then by simp only [mem_support_iff, filter_apply_pos _ _ H, mem_filter, H, and_true]
else by simp only [mem_support_iff, filter_apply_neg _ _ H, mem_filter, H, and_false, ne.def,
ne_self_iff_false]
lemma filter_zero : (0 : α →₀ β).filter p = 0 :=
by rw [← support_eq_empty, support_filter, support_zero, finset.filter_empty]
@[simp] lemma filter_single_of_pos
{a : α} {b : β} (h : p a) : (single a b).filter p = single a b :=
ext $ λ x, begin
by_cases h' : p x,
{ simp only [h', filter_apply_pos] },
{ simp only [h', filter_apply_neg, not_false_iff],
rw single_eq_of_ne, rintro rfl, exact h' h }
end
@[simp] lemma filter_single_of_neg
{a : α} {b : β} (h : ¬ p a) : (single a b).filter p = 0 :=
ext $ λ x, begin
by_cases h' : p x,
{ simp only [h', filter_apply_pos, zero_apply], rw single_eq_of_ne, rintro rfl, exact h h' },
{ simp only [h', finsupp.zero_apply, not_false_iff, filter_apply_neg] }
end
end has_zero
lemma filter_pos_add_filter_neg [add_monoid β] (f : α →₀ β) (p : α → Prop) :
f.filter p + f.filter (λa, ¬ p a) = f :=
ext $ assume a, if H : p a
then by simp only [add_apply, filter_apply_pos, filter_apply_neg, H, not_not, add_zero]
else by simp only [add_apply, filter_apply_pos, filter_apply_neg, H, not_false_iff, zero_add]
end filter
/-! ### Declarations about `frange` -/
section frange
variables [has_zero β]
/-- `frange f` is the image of `f` on the support of `f`. -/
def frange (f : α →₀ β) : finset β := finset.image f f.support
theorem mem_frange {f : α →₀ β} {y : β} :
y ∈ f.frange ↔ y ≠ 0 ∧ ∃ x, f x = y :=
finset.mem_image.trans
⟨λ ⟨x, hx1, hx2⟩, ⟨hx2 ▸ mem_support_iff.1 hx1, x, hx2⟩,
λ ⟨hy, x, hx⟩, ⟨x, mem_support_iff.2 (hx.symm ▸ hy), hx⟩⟩
theorem zero_not_mem_frange {f : α →₀ β} : (0:β) ∉ f.frange :=
λ H, (mem_frange.1 H).1 rfl
theorem frange_single {x : α} {y : β} : frange (single x y) ⊆ {y} :=
λ r hr, let ⟨t, ht1, ht2⟩ := mem_frange.1 hr in ht2 ▸
(by rw single_apply at ht2 ⊢; split_ifs at ht2 ⊢; [exact finset.mem_singleton_self _, cc])
end frange
/-! ### Declarations about `subtype_domain` -/
section subtype_domain
variables {α' : Type*} [has_zero δ] {p : α → Prop}
section zero
variables [has_zero β] {v v' : α' →₀ β}
/-- `subtype_domain p f` is the restriction of the finitely supported function
`f` to the subtype `p`. -/
def subtype_domain (p : α → Prop) (f : α →₀ β) : (subtype p →₀ β) :=
⟨f.support.subtype p, f ∘ subtype.val, λ a, by simp only [mem_subtype, mem_support_iff]⟩
@[simp] lemma support_subtype_domain {f : α →₀ β} :
(subtype_domain p f).support = f.support.subtype p :=
rfl
@[simp] lemma subtype_domain_apply {a : subtype p} {v : α →₀ β} :
(subtype_domain p v) a = v (a.val) :=
rfl
@[simp] lemma subtype_domain_zero : subtype_domain p (0 : α →₀ β) = 0 :=
rfl
@[to_additive]
lemma prod_subtype_domain_index [comm_monoid γ] {v : α →₀ β}
{h : α → β → γ} (hp : ∀x∈v.support, p x) :
(v.subtype_domain p).prod (λa b, h a.1 b) = v.prod h :=
prod_bij (λp _, p.val)
(λ _, mem_subtype.1)
(λ _ _, rfl)
(λ _ _ _ _, subtype.eq)
(λ b hb, ⟨⟨b, hp b hb⟩, mem_subtype.2 hb, rfl⟩)
end zero
section monoid
variables [add_monoid β] {v v' : α' →₀ β}
@[simp] lemma subtype_domain_add {v v' : α →₀ β} :
(v + v').subtype_domain p = v.subtype_domain p + v'.subtype_domain p :=
ext $ λ _, rfl
instance subtype_domain.is_add_monoid_hom :
is_add_monoid_hom (subtype_domain p : (α →₀ β) → subtype p →₀ β) :=
{ map_add := λ _ _, subtype_domain_add, map_zero := subtype_domain_zero }
@[simp] lemma filter_add {v v' : α →₀ β} :
(v + v').filter p = v.filter p + v'.filter p :=
ext $ λ a, begin
by_cases p a,
{ simp only [h, filter_apply_pos, add_apply] },
{ simp only [h, add_zero, add_apply, not_false_iff, filter_apply_neg] }
end
instance filter.is_add_monoid_hom (p : α → Prop) :
is_add_monoid_hom (filter p : (α →₀ β) → (α →₀ β)) :=
{ map_zero := filter_zero p, map_add := λ x y, filter_add }
end monoid
section comm_monoid
variables [add_comm_monoid β]
lemma subtype_domain_sum {s : finset γ} {h : γ → α →₀ β} :
(s.sum h).subtype_domain p = s.sum (λc, (h c).subtype_domain p) :=
eq.symm (s.sum_hom _)
lemma subtype_domain_finsupp_sum {s : γ →₀ δ} {h : γ → δ → α →₀ β} :
(s.sum h).subtype_domain p = s.sum (λc d, (h c d).subtype_domain p) :=
subtype_domain_sum
lemma filter_sum (s : finset γ) (f : γ → α →₀ β) :
(s.sum f).filter p = s.sum (λa, filter p (f a)) :=
(s.sum_hom (filter p)).symm
end comm_monoid
section group
variables [add_group β] {v v' : α' →₀ β}
@[simp] lemma subtype_domain_neg {v : α →₀ β} :
(- v).subtype_domain p = - v.subtype_domain p :=
ext $ λ _, rfl
@[simp] lemma subtype_domain_sub {v v' : α →₀ β} :
(v - v').subtype_domain p = v.subtype_domain p - v'.subtype_domain p :=
ext $ λ _, rfl
end group
end subtype_domain
/-! ### Declarations relating `finsupp` to `multiset` -/
section multiset
/-- Given `f : α →₀ ℕ`, `f.to_multiset` is the multiset with multiplicities given by the values of
`f` on the elements of `α`. -/
def to_multiset (f : α →₀ ℕ) : multiset α :=
f.sum (λa n, n •ℕ {a})
lemma to_multiset_zero : (0 : α →₀ ℕ).to_multiset = 0 :=
rfl
lemma to_multiset_add (m n : α →₀ ℕ) :
(m + n).to_multiset = m.to_multiset + n.to_multiset :=
sum_add_index (assume a, zero_nsmul _) (assume a b₁ b₂, add_nsmul _ _ _)
lemma to_multiset_single (a : α) (n : ℕ) : to_multiset (single a n) = n •ℕ {a} :=
by rw [to_multiset, sum_single_index]; apply zero_nsmul
instance is_add_monoid_hom.to_multiset : is_add_monoid_hom (to_multiset : _ → multiset α) :=
{ map_zero := to_multiset_zero, map_add := to_multiset_add }
lemma card_to_multiset (f : α →₀ ℕ) : f.to_multiset.card = f.sum (λa, id) :=
begin
refine f.induction _ _,
{ rw [to_multiset_zero, multiset.card_zero, sum_zero_index] },
{ assume a n f _ _ ih,
rw [to_multiset_add, multiset.card_add, ih, sum_add_index, to_multiset_single,
sum_single_index, multiset.card_smul, multiset.singleton_eq_singleton,
multiset.card_singleton, mul_one]; intros; refl }
end
lemma to_multiset_map (f : α →₀ ℕ) (g : α → β) :
f.to_multiset.map g = (f.map_domain g).to_multiset :=
begin
refine f.induction _ _,
{ rw [to_multiset_zero, multiset.map_zero, map_domain_zero, to_multiset_zero] },
{ assume a n f _ _ ih,
rw [to_multiset_add, multiset.map_add, ih, map_domain_add, map_domain_single,
to_multiset_single, to_multiset_add, to_multiset_single,
is_add_monoid_hom.map_nsmul (multiset.map g)],
refl }
end
lemma prod_to_multiset [comm_monoid α] (f : α →₀ ℕ) :
f.to_multiset.prod = f.prod (λa n, a ^ n) :=
begin
refine f.induction _ _,
{ rw [to_multiset_zero, multiset.prod_zero, finsupp.prod_zero_index] },
{ assume a n f _ _ ih,
rw [to_multiset_add, multiset.prod_add, ih, to_multiset_single, finsupp.prod_add_index,
finsupp.prod_single_index, multiset.prod_smul, multiset.singleton_eq_singleton,
multiset.prod_singleton],
{ exact pow_zero a },
{ exact pow_zero },
{ exact pow_add } }
end
lemma to_finset_to_multiset (f : α →₀ ℕ) : f.to_multiset.to_finset = f.support :=
begin
refine f.induction _ _,
{ rw [to_multiset_zero, multiset.to_finset_zero, support_zero] },
{ assume a n f ha hn ih,
rw [to_multiset_add, multiset.to_finset_add, ih, to_multiset_single, support_add_eq,
support_single_ne_zero hn, multiset.to_finset_nsmul _ _ hn,
multiset.singleton_eq_singleton, multiset.to_finset_cons, multiset.to_finset_zero],
refl,
refine disjoint.mono_left support_single_subset _,
rwa [finset.singleton_disjoint] }
end
@[simp] lemma count_to_multiset (f : α →₀ ℕ) (a : α) :
f.to_multiset.count a = f a :=
calc f.to_multiset.count a = f.sum (λx n, (n •ℕ {x} : multiset α).count a) :
(f.support.sum_hom $ multiset.count a).symm
... = f.sum (λx n, n * ({x} : multiset α).count a) : by simp only [multiset.count_smul]
... = f.sum (λx n, n * (x :: 0 : multiset α).count a) : rfl
... = f a * (a :: 0 : multiset α).count a : sum_eq_single _
(λ a' _ H, by simp only [multiset.count_cons_of_ne (ne.symm H), multiset.count_zero, mul_zero])
(λ H, by simp only [not_mem_support_iff.1 H, zero_mul])
... = f a : by simp only [multiset.count_singleton, mul_one]
/-- Given `m : multiset α`, `of_multiset m` is the finitely supported function from `α` to `ℕ`
given by the multiplicities of the elements of `α` in `m`. -/
def of_multiset (m : multiset α) : α →₀ ℕ :=
on_finset m.to_finset (λa, m.count a) $ λ a H, multiset.mem_to_finset.2 $
by_contradiction (mt multiset.count_eq_zero.2 H)
@[simp] lemma of_multiset_apply (m : multiset α) (a : α) :
of_multiset m a = m.count a :=
rfl
/-- `equiv_multiset` defines an `equiv` between finitely supported functions
from `α` to `ℕ` and multisets on `α`. -/
def equiv_multiset : (α →₀ ℕ) ≃ (multiset α) :=
⟨ to_multiset, of_multiset,
assume f, finsupp.ext $ λ a, by rw [of_multiset_apply, count_to_multiset],
assume m, multiset.ext.2 $ λ a, by rw [count_to_multiset, of_multiset_apply] ⟩
lemma mem_support_multiset_sum [add_comm_monoid β]
{s : multiset (α →₀ β)} (a : α) :
a ∈ s.sum.support → ∃f∈s, a ∈ (f : α →₀ β).support :=
multiset.induction_on s false.elim
begin
assume f s ih ha,
by_cases a ∈ f.support,
{ exact ⟨f, multiset.mem_cons_self _ _, h⟩ },
{ simp only [multiset.sum_cons, mem_support_iff, add_apply,
not_mem_support_iff.1 h, zero_add] at ha,
rcases ih (mem_support_iff.2 ha) with ⟨f', h₀, h₁⟩,
exact ⟨f', multiset.mem_cons_of_mem h₀, h₁⟩ }
end
lemma mem_support_finset_sum [add_comm_monoid β]
{s : finset γ} {h : γ → α →₀ β} (a : α) (ha : a ∈ (s.sum h).support) : ∃c∈s, a ∈ (h c).support :=
let ⟨f, hf, hfa⟩ := mem_support_multiset_sum a ha in
let ⟨c, hc, eq⟩ := multiset.mem_map.1 hf in
⟨c, hc, eq.symm ▸ hfa⟩
lemma mem_support_single [has_zero β] (a a' : α) (b : β) :
a ∈ (single a' b).support ↔ a = a' ∧ b ≠ 0 :=
⟨λ H : (a ∈ ite _ _ _), if h : b = 0
then by rw if_pos h at H; exact H.elim
else ⟨by rw if_neg h at H; exact mem_singleton.1 H, h⟩,
λ ⟨h1, h2⟩, show a ∈ ite _ _ _, by rw [if_neg h2]; exact mem_singleton.2 h1⟩
end multiset
/-! ### Declarations about `curry` and `uncurry` -/
section curry_uncurry
/-- Given a finitely supported function `f` from a product type `α × β` to `γ`,
`curry f` is the "curried" finitely supported function from `α` to the type of
finitely supported functions from `β` to `γ`. -/
protected def curry [add_comm_monoid γ]
(f : (α × β) →₀ γ) : α →₀ (β →₀ γ) :=
f.sum $ λp c, single p.1 (single p.2 c)
lemma sum_curry_index
[add_comm_monoid γ] [add_comm_monoid δ]
(f : (α × β) →₀ γ) (g : α → β → γ → δ)
(hg₀ : ∀ a b, g a b 0 = 0) (hg₁ : ∀a b c₀ c₁, g a b (c₀ + c₁) = g a b c₀ + g a b c₁) :
f.curry.sum (λa f, f.sum (g a)) = f.sum (λp c, g p.1 p.2 c) :=
begin
rw [finsupp.curry],
transitivity,
{ exact sum_sum_index (assume a, sum_zero_index)
(assume a b₀ b₁, sum_add_index (assume a, hg₀ _ _) (assume c d₀ d₁, hg₁ _ _ _ _)) },
congr, funext p c,
transitivity,
{ exact sum_single_index sum_zero_index },
exact sum_single_index (hg₀ _ _)
end
/-- Given a finitely supported function `f` from `α` to the type of
finitely supported functions from `β` to `γ`,
`uncurry f` is the "uncurried" finitely supported function from `α × β` to `γ`. -/
protected def uncurry [add_comm_monoid γ] (f : α →₀ (β →₀ γ)) : (α × β) →₀ γ :=
f.sum $ λa g, g.sum $ λb c, single (a, b) c
/-- `finsupp_prod_equiv` defines the `equiv` between `((α × β) →₀ γ)` and `(α →₀ (β →₀ γ))` given by
currying and uncurrying. -/
def finsupp_prod_equiv [add_comm_monoid γ] : ((α × β) →₀ γ) ≃ (α →₀ (β →₀ γ)) :=
by refine ⟨finsupp.curry, finsupp.uncurry, λ f, _, λ f, _⟩; simp only [
finsupp.curry, finsupp.uncurry, sum_sum_index, sum_zero_index, sum_add_index,
sum_single_index, single_zero, single_add, eq_self_iff_true, forall_true_iff,
forall_3_true_iff, prod.mk.eta, (single_sum _ _ _).symm, sum_single]
lemma filter_curry [add_comm_monoid β] (f : α₁ × α₂ →₀ β) (p : α₁ → Prop) :
(f.filter (λa:α₁×α₂, p a.1)).curry = f.curry.filter p :=
begin
rw [finsupp.curry, finsupp.curry, finsupp.sum, finsupp.sum,
@filter_sum _ (α₂ →₀ β) _ p _ f.support _],
rw [support_filter, sum_filter],
refine finset.sum_congr rfl _,
rintros ⟨a₁, a₂⟩ ha,
dsimp only,
split_ifs,
{ rw [filter_apply_pos, filter_single_of_pos]; exact h },
{ rwa [filter_single_of_neg] }
end
lemma support_curry [add_comm_monoid β] (f : α₁ × α₂ →₀ β) :
f.curry.support ⊆ f.support.image prod.fst :=
begin
rw ← finset.bind_singleton,
refine finset.subset.trans support_sum _,
refine finset.bind_mono (assume a _, support_single_subset)
end
end curry_uncurry
section
variables [group γ] [mul_action γ α] [add_comm_monoid β]
/--
Scalar multiplication by a group element g,
given by precomposition with the action of g⁻¹ on the domain.
-/
def comap_has_scalar : has_scalar γ (α →₀ β) :=
{ smul := λ g f, f.comap_domain (λ a, g⁻¹ • a)
(λ a a' m m' h, by simpa [←mul_smul] using (congr_arg (λ a, g • a) h)) }
local attribute [instance] comap_has_scalar
/--
Scalar multiplication by a group element,
given by precomposition with the action of g⁻¹ on the domain,
is multiplicative in g.
-/
def comap_mul_action : mul_action γ (α →₀ β) :=
{ one_smul := λ f, by { ext, dsimp [(•)], simp, },
mul_smul := λ g g' f, by { ext, dsimp [(•)], simp [mul_smul], }, }
local attribute [instance] comap_mul_action
/--
Scalar multiplication by a group element,
given by precomposition with the action of g⁻¹ on the domain,
is additive in the second argument.
-/
def comap_distrib_mul_action :
distrib_mul_action γ (α →₀ β) :=
{ smul_zero := λ g, by { ext, dsimp [(•)], simp, },
smul_add := λ g f f', by { ext, dsimp [(•)], simp, }, }
/--
Scalar multiplication by a group element on finitely supported functions on a group,
given by precomposition with the action of g⁻¹. -/
def comap_distrib_mul_action_self :
distrib_mul_action γ (γ →₀ β) :=
@finsupp.comap_distrib_mul_action γ β γ _ (mul_action.regular γ) _
@[simp]
lemma comap_smul_single (g : γ) (a : α) (b : β) :
g • single a b = single (g • a) b :=
begin
ext a',
dsimp [(•)],
by_cases h : g • a = a',
{ subst h, simp [←mul_smul], },
{ simp [single_eq_of_ne h], rw [single_eq_of_ne],
rintro rfl, simpa [←mul_smul] using h, }
end
@[simp]
lemma comap_smul_apply (g : γ) (f : α →₀ β) (a : α) :
(g • f) a = f (g⁻¹ • a) := rfl
end
section
instance [semiring γ] [add_comm_monoid β] [semimodule γ β] : has_scalar γ (α →₀ β) :=
⟨λa v, v.map_range ((•) a) (smul_zero _)⟩
variables (α β)
@[simp] lemma smul_apply' {R:semiring γ} [add_comm_monoid β] [semimodule γ β]
{a : α} {b : γ} {v : α →₀ β} : (b • v) a = b • (v a) :=
rfl
instance [semiring γ] [add_comm_monoid β] [semimodule γ β] : semimodule γ (α →₀ β) :=
{ smul := (•),
smul_add := λ a x y, ext $ λ _, smul_add _ _ _,
add_smul := λ a x y, ext $ λ _, add_smul _ _ _,
one_smul := λ x, ext $ λ _, one_smul _ _,
mul_smul := λ r s x, ext $ λ _, mul_smul _ _ _,
zero_smul := λ x, ext $ λ _, zero_smul _ _,
smul_zero := λ x, ext $ λ _, smul_zero _ }
instance [ring γ] [add_comm_group β] [module γ β] : module γ (α →₀ β) :=
{ ..finsupp.semimodule α β }
instance [field γ] [add_comm_group β] [vector_space γ β] : vector_space γ (α →₀ β) :=
{ ..finsupp.module α β }
variables {α β}
lemma support_smul {R:semiring γ} [add_comm_monoid β] [semimodule γ β] {b : γ} {g : α →₀ β} :
(b • g).support ⊆ g.support :=
λ a, by simp only [smul_apply', mem_support_iff, ne.def]; exact mt (λ h, h.symm ▸ smul_zero _)
section
variables {α' : Type*} [has_zero δ] {p : α → Prop}
@[simp] lemma filter_smul {R : semiring γ} [add_comm_monoid β] [semimodule γ β]
{b : γ} {v : α →₀ β} : (b • v).filter p = b • v.filter p :=
ext $ λ a, begin
by_cases p a,
{ simp only [h, smul_apply', filter_apply_pos] },
{ simp only [h, smul_apply', not_false_iff, filter_apply_neg, smul_zero] }
end
end
lemma map_domain_smul {α'} {R : semiring γ} [add_comm_monoid β] [semimodule γ β]
{f : α → α'} (b : γ) (v : α →₀ β) : map_domain f (b • v) = b • map_domain f v :=
begin
change map_domain f (map_range _ _ _) = map_range _ _ _,
apply finsupp.induction v, { simp only [map_domain_zero, map_range_zero] },
intros a b v' hv₁ hv₂ IH,
rw [map_range_add, map_domain_add, IH, map_domain_add, map_range_add,
map_range_single, map_domain_single, map_domain_single, map_range_single];
apply smul_add
end
@[simp] lemma smul_single {R : semiring γ} [add_comm_monoid β] [semimodule γ β]
(c : γ) (a : α) (b : β) : c • finsupp.single a b = finsupp.single a (c • b) :=
ext $ λ a', by by_cases a = a';
[{ subst h, simp only [smul_apply', single_eq_same] },
simp only [h, smul_apply', ne.def, not_false_iff, single_eq_of_ne, smul_zero]]
@[simp] lemma smul_single' {R : semiring γ}
(c : γ) (a : α) (b : γ) : c • finsupp.single a b = finsupp.single a (c * b) :=
smul_single _ _ _
end
@[simp] lemma smul_apply [semiring β] {a : α} {b : β} {v : α →₀ β} :
(b • v) a = b • (v a) :=
rfl
lemma sum_smul_index [ring β] [add_comm_monoid γ] {g : α →₀ β} {b : β} {h : α → β → γ}
(h0 : ∀i, h i 0 = 0) : (b • g).sum h = g.sum (λi a, h i (b * a)) :=
finsupp.sum_map_range_index h0
section
variables [semiring β] [semiring γ]
lemma sum_mul (b : γ) (s : α →₀ β) {f : α → β → γ} :
(s.sum f) * b = s.sum (λ a c, (f a (s a)) * b) :=
by simp only [finsupp.sum, finset.sum_mul]
lemma mul_sum (b : γ) (s : α →₀ β) {f : α → β → γ} :
b * (s.sum f) = s.sum (λ a c, b * (f a (s a))) :=
by simp only [finsupp.sum, finset.mul_sum]
protected lemma eq_zero_of_zero_eq_one
(zero_eq_one : (0 : β) = 1) (l : α →₀ β) : l = 0 :=
by ext i; simp only [eq_zero_of_zero_eq_one β zero_eq_one (l i), finsupp.zero_apply]
end
/-- Given an `add_comm_monoid β` and `s : set α`, `restrict_support_equiv s β` is the `equiv`
between the subtype of finitely supported functions with support contained in `s` and
the type of finitely supported functions from `s`. -/
def restrict_support_equiv (s : set α) (β : Type*) [add_comm_monoid β] :
{f : α →₀ β // ↑f.support ⊆ s } ≃ (s →₀ β):=
begin
refine ⟨λf, subtype_domain (λx, x ∈ s) f.1, λ f, ⟨f.map_domain subtype.val, _⟩, _, _⟩,
{ refine set.subset.trans (finset.coe_subset.2 map_domain_support) _,
rw [finset.coe_image, set.image_subset_iff],
exact assume x hx, x.2 },
{ rintros ⟨f, hf⟩,
apply subtype.eq,
ext a,
dsimp only,
refine classical.by_cases (assume h : a ∈ set.range (subtype.val : s → α), _) (assume h, _),
{ rcases h with ⟨x, rfl⟩,
rw [map_domain_apply subtype.val_injective, subtype_domain_apply] },
{ convert map_domain_notin_range _ _ h,
rw [← not_mem_support_iff],
refine mt _ h,
exact assume ha, ⟨⟨a, hf ha⟩, rfl⟩ } },
{ assume f,
ext ⟨a, ha⟩,
dsimp only,
rw [subtype_domain_apply, map_domain_apply subtype.val_injective] }
end
/-- Given `add_comm_monoid β` and `e : α₁ ≃ α₂`, `dom_congr e` is the corresponding `equiv` between
`α₁ →₀ β` and `α₂ →₀ β`. -/
protected def dom_congr [add_comm_monoid β] (e : α₁ ≃ α₂) : (α₁ →₀ β) ≃ (α₂ →₀ β) :=
⟨map_domain e, map_domain e.symm,
begin
assume v,
simp only [map_domain_comp.symm, (∘), equiv.symm_apply_apply],
exact map_domain_id
end,
begin
assume v,
simp only [map_domain_comp.symm, (∘), equiv.apply_symm_apply],
exact map_domain_id
end⟩
/-! ### Declarations about sigma types -/
section sigma
variables {αs : ι → Type*} [has_zero β] (l : (Σ i, αs i) →₀ β)
/-- Given `l`, a finitely supported function from the sigma type `Σ (i : ι), αs i` to `β` and
an index element `i : ι`, `split l i` is the `i`th component of `l`,
a finitely supported function from `as i` to `β`. -/
def split (i : ι) : αs i →₀ β :=
l.comap_domain (sigma.mk i) (λ x1 x2 _ _ hx, heq_iff_eq.1 (sigma.mk.inj hx).2)
lemma split_apply (i : ι) (x : αs i) : split l i x = l ⟨i, x⟩ :=
begin
dunfold split,
rw comap_domain_apply
end
/-- Given `l`, a finitely supported function from the sigma type `Σ (i : ι), αs i` to `β`,
`split_support l` is the finset of indices in `ι` that appear in the support of `l`. -/
def split_support : finset ι := l.support.image sigma.fst
lemma mem_split_support_iff_nonzero (i : ι) :
i ∈ split_support l ↔ split l i ≠ 0 :=
begin
rw [split_support, mem_image, ne.def, ← support_eq_empty, ← ne.def,
← finset.nonempty_iff_ne_empty, split, comap_domain, finset.nonempty],
simp only [exists_prop, finset.mem_preimage, exists_and_distrib_right, exists_eq_right,
mem_support_iff, sigma.exists, ne.def]
end
/-- Given `l`, a finitely supported function from the sigma type `Σ i, αs i` to `β` and
an `ι`-indexed family `g` of functions from `(αs i →₀ β)` to `γ`, `split_comp` defines a
finitely supported function from the index type `ι` to `γ` given by composing `g i` with
`split l i`. -/
def split_comp [has_zero γ] (g : Π i, (αs i →₀ β) → γ)
(hg : ∀ i x, x = 0 ↔ g i x = 0) : ι →₀ γ :=
{ support := split_support l,
to_fun := λ i, g i (split l i),
mem_support_to_fun :=
begin
intros i,
rw [mem_split_support_iff_nonzero, not_iff_not, hg],
end }
lemma sigma_support : l.support = l.split_support.sigma (λ i, (l.split i).support) :=
by simp only [finset.ext, split_support, split, comap_domain, mem_image,
mem_preimage, sigma.forall, mem_sigma]; tauto
lemma sigma_sum [add_comm_monoid γ] (f : (Σ (i : ι), αs i) → β → γ) :
l.sum f = (split_support l).sum (λ (i : ι), (split l i).sum (λ (a : αs i) b, f ⟨i, a⟩ b)) :=
by simp only [sum, sigma_support, sum_sigma, split_apply]
end sigma
end finsupp
/-! ### Declarations relating `multiset` to `finsupp` -/
namespace multiset
/-- Given a multiset `s`, `s.to_finsupp` returns the finitely supported function on `ℕ` given by
the multiplicities of the elements of `s`. -/
def to_finsupp (s : multiset α) : α →₀ ℕ :=
{ support := s.to_finset,
to_fun := λ a, s.count a,
mem_support_to_fun := λ a,
begin
rw mem_to_finset,
convert not_iff_not_of_iff (count_eq_zero.symm),
rw not_not
end }
@[simp] lemma to_finsupp_support (s : multiset α) :
s.to_finsupp.support = s.to_finset :=
rfl
@[simp] lemma to_finsupp_apply (s : multiset α) (a : α) :
s.to_finsupp a = s.count a :=
rfl
@[simp] lemma to_finsupp_zero :
to_finsupp (0 : multiset α) = 0 :=
finsupp.ext $ λ a, count_zero a
@[simp] lemma to_finsupp_add (s t : multiset α) :
to_finsupp (s + t) = to_finsupp s + to_finsupp t :=
finsupp.ext $ λ a, count_add a s t
lemma to_finsupp_singleton (a : α) :
to_finsupp {a} = finsupp.single a 1 :=
finsupp.ext $ λ b,
if h : a = b then by rw [to_finsupp_apply, finsupp.single_apply, h, if_pos rfl,
singleton_eq_singleton, count_singleton] else
begin
rw [to_finsupp_apply, finsupp.single_apply, if_neg h, count_eq_zero,
singleton_eq_singleton, mem_singleton],
rintro rfl, exact h rfl
end
namespace to_finsupp
instance : is_add_monoid_hom (to_finsupp : multiset α → α →₀ ℕ) :=
{ map_zero := to_finsupp_zero,
map_add := to_finsupp_add }
end to_finsupp
@[simp] lemma to_finsupp_to_multiset (s : multiset α) :
s.to_finsupp.to_multiset = s :=
ext.2 $ λ a, by rw [finsupp.count_to_multiset, to_finsupp_apply]
end multiset
/-! ### Declarations about order(ed) instances on `finsupp` -/
namespace finsupp
variables {σ : Type*}
instance [preorder α] [has_zero α] : preorder (σ →₀ α) :=
{ le := λ f g, ∀ s, f s ≤ g s,
le_refl := λ f s, le_refl _,
le_trans := λ f g h Hfg Hgh s, le_trans (Hfg s) (Hgh s) }
instance [partial_order α] [has_zero α] : partial_order (σ →₀ α) :=
{ le_antisymm := λ f g hfg hgf, ext $ λ s, le_antisymm (hfg s) (hgf s),
.. finsupp.preorder }
instance [ordered_cancel_add_comm_monoid α] :
add_left_cancel_semigroup (σ →₀ α) :=
{ add_left_cancel := λ a b c h, ext $ λ s,
by { rw ext_iff at h, exact add_left_cancel (h s) },
.. finsupp.add_monoid }
instance [ordered_cancel_add_comm_monoid α] :
add_right_cancel_semigroup (σ →₀ α) :=
{ add_right_cancel := λ a b c h, ext $ λ s,
by { rw ext_iff at h, exact add_right_cancel (h s) },
.. finsupp.add_monoid }
instance [ordered_cancel_add_comm_monoid α] :
ordered_cancel_add_comm_monoid (σ →₀ α) :=
{ add_le_add_left := λ a b h c s, add_le_add_left (h s) (c s),
le_of_add_le_add_left := λ a b c h s, le_of_add_le_add_left (h s),
.. finsupp.add_comm_monoid, .. finsupp.partial_order,
.. finsupp.add_left_cancel_semigroup, .. finsupp.add_right_cancel_semigroup }
lemma le_iff [canonically_ordered_add_monoid α] (f g : σ →₀ α) :
f ≤ g ↔ ∀ s ∈ f.support, f s ≤ g s :=
⟨λ h s hs, h s,
λ h s, if H : s ∈ f.support then h s H else (not_mem_support_iff.1 H).symm ▸ zero_le (g s)⟩
@[simp] lemma add_eq_zero_iff [canonically_ordered_add_monoid α] (f g : σ →₀ α) :
f + g = 0 ↔ f = 0 ∧ g = 0 :=
begin
split,
{ assume h,
split,
all_goals
{ ext s,
suffices H : f s + g s = 0,
{ rw add_eq_zero_iff at H, cases H, assumption },
show (f + g) s = 0,
rw h, refl } },
{ rintro ⟨rfl, rfl⟩, rw add_zero }
end
attribute [simp] to_multiset_zero to_multiset_add
@[simp] lemma to_multiset_to_finsupp (f : σ →₀ ℕ) :
f.to_multiset.to_finsupp = f :=
ext $ λ s, by rw [multiset.to_finsupp_apply, count_to_multiset]
lemma to_multiset_strict_mono : strict_mono (@to_multiset σ) :=
λ m n h,
begin
rw lt_iff_le_and_ne at h ⊢, cases h with h₁ h₂,
split,
{ rw multiset.le_iff_count, intro s, erw [count_to_multiset m s, count_to_multiset], exact h₁ s },
{ intro H, apply h₂, replace H := congr_arg multiset.to_finsupp H,
simpa only [to_multiset_to_finsupp] using H }
end
lemma sum_id_lt_of_lt (m n : σ →₀ ℕ) (h : m < n) :
m.sum (λ _, id) < n.sum (λ _, id) :=
begin
rw [← card_to_multiset, ← card_to_multiset],
apply multiset.card_lt_of_lt,
exact to_multiset_strict_mono h
end
variable (σ)
/-- The order on `σ →₀ ℕ` is well-founded.-/
lemma lt_wf : well_founded (@has_lt.lt (σ →₀ ℕ) _) :=
subrelation.wf (sum_id_lt_of_lt) $ inv_image.wf _ nat.lt_wf
instance decidable_le : decidable_rel (@has_le.le (σ →₀ ℕ) _) :=
λ m n, by rw le_iff; apply_instance
variable {σ}
/-- The `finsupp` counterpart of `multiset.antidiagonal`: the antidiagonal of
`s : σ →₀ ℕ` consists of all pairs `(t₁, t₂) : (σ →₀ ℕ) × (σ →₀ ℕ)` such that `t₁ + t₂ = s`.
The finitely supported function `antidiagonal s` is equal to the multiplicities of these pairs. -/
def antidiagonal (f : σ →₀ ℕ) : ((σ →₀ ℕ) × (σ →₀ ℕ)) →₀ ℕ :=
(f.to_multiset.antidiagonal.map (prod.map multiset.to_finsupp multiset.to_finsupp)).to_finsupp
lemma mem_antidiagonal_support {f : σ →₀ ℕ} {p : (σ →₀ ℕ) × (σ →₀ ℕ)} :
p ∈ (antidiagonal f).support ↔ p.1 + p.2 = f :=
begin
erw [multiset.mem_to_finset, multiset.mem_map],
split,
{ rintros ⟨⟨a, b⟩, h, rfl⟩,
rw multiset.mem_antidiagonal at h,
simpa only [to_multiset_to_finsupp, multiset.to_finsupp_add]
using congr_arg multiset.to_finsupp h},
{ intro h,
refine ⟨⟨p.1.to_multiset, p.2.to_multiset⟩, _, _⟩,
{ simpa only [multiset.mem_antidiagonal, to_multiset_add]
using congr_arg to_multiset h},
{ rw [prod.map, to_multiset_to_finsupp, to_multiset_to_finsupp, prod.mk.eta] } }
end
@[simp] lemma antidiagonal_zero : antidiagonal (0 : σ →₀ ℕ) = single (0,0) 1 :=
by rw [← multiset.to_finsupp_singleton]; refl
lemma swap_mem_antidiagonal_support {n : σ →₀ ℕ} {f} (hf : f ∈ (antidiagonal n).support) :
f.swap ∈ (antidiagonal n).support :=
by simpa only [mem_antidiagonal_support, add_comm, prod.swap] using hf
end finsupp
|
7933678c54d5734b9db9d680f14cce280214a182 | 4727251e0cd73359b15b664c3170e5d754078599 | /src/linear_algebra/ray.lean | e6637cf101f870284934309dc10b44a9d814beac | [
"Apache-2.0"
] | permissive | Vierkantor/mathlib | 0ea59ac32a3a43c93c44d70f441c4ee810ccceca | 83bc3b9ce9b13910b57bda6b56222495ebd31c2f | refs/heads/master | 1,658,323,012,449 | 1,652,256,003,000 | 1,652,256,003,000 | 209,296,341 | 0 | 1 | Apache-2.0 | 1,568,807,655,000 | 1,568,807,655,000 | null | UTF-8 | Lean | false | false | 21,726 | lean | /-
Copyright (c) 2021 Joseph Myers. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Joseph Myers
-/
import linear_algebra.basic
/-!
# Rays in modules
This file defines rays in modules.
## Main definitions
* `same_ray`: two vectors belong to the same ray if they are proportional with a nonnegative
coefficient.
* `module.ray` is a type for the equivalence class of nonzero vectors in a module with some
common positive multiple.
-/
noncomputable theory
open_locale big_operators
section ordered_comm_semiring
variables (R : Type*) [ordered_comm_semiring R]
variables {M : Type*} [add_comm_monoid M] [module R M]
variables {N : Type*} [add_comm_monoid N] [module R N]
variables (ι : Type*) [decidable_eq ι]
/-- Two vectors are in the same ray if either one of them is zero or some positive multiples of them
are equal (in the typical case over a field, this means one of them is a nonnegative multiple of
the other). -/
def same_ray (v₁ v₂ : M) : Prop :=
v₁ = 0 ∨ v₂ = 0 ∨ ∃ (r₁ r₂ : R), 0 < r₁ ∧ 0 < r₂ ∧ r₁ • v₁ = r₂ • v₂
variables {R}
namespace same_ray
variables {x y z : M}
@[simp] lemma zero_left (y : M) : same_ray R 0 y := or.inl rfl
@[simp] lemma zero_right (x : M) : same_ray R x 0 := or.inr $ or.inl rfl
@[nontriviality] lemma of_subsingleton [subsingleton M] (x y : M) : same_ray R x y :=
by { rw [subsingleton.elim x 0], exact zero_left _ }
@[nontriviality] lemma of_subsingleton' [subsingleton R] (x y : M) : same_ray R x y :=
by { haveI := module.subsingleton R M, exact of_subsingleton x y }
/-- `same_ray` is reflexive. -/
@[refl] lemma refl (x : M) : same_ray R x x :=
begin
nontriviality R,
exact or.inr (or.inr $ ⟨1, 1, zero_lt_one, zero_lt_one, rfl⟩)
end
protected lemma rfl : same_ray R x x := refl _
/-- `same_ray` is symmetric. -/
@[symm] lemma symm (h : same_ray R x y) : same_ray R y x :=
(or.left_comm.1 h).imp_right $ or.imp_right $ λ ⟨r₁, r₂, h₁, h₂, h⟩, ⟨r₂, r₁, h₂, h₁, h.symm⟩
/-- If `x` and `y` are nonzero vectors on the same ray, then there exist positive numbers `r₁ r₂`
such that `r₁ • x = r₂ • y`. -/
lemma exists_pos (h : same_ray R x y) (hx : x ≠ 0) (hy : y ≠ 0) :
∃ r₁ r₂ : R, 0 < r₁ ∧ 0 < r₂ ∧ r₁ • x = r₂ • y :=
(h.resolve_left hx).resolve_left hy
lemma _root_.same_ray_comm : same_ray R x y ↔ same_ray R y x :=
⟨same_ray.symm, same_ray.symm⟩
/-- `same_ray` is transitive unless the vector in the middle is zero and both other vectors are
nonzero. -/
lemma trans (hxy : same_ray R x y) (hyz : same_ray R y z) (hy : y = 0 → x = 0 ∨ z = 0) :
same_ray R x z :=
begin
rcases eq_or_ne x 0 with rfl|hx, { exact zero_left z },
rcases eq_or_ne z 0 with rfl|hz, { exact zero_right x },
rcases eq_or_ne y 0 with rfl|hy, { exact (hy rfl).elim (λ h, (hx h).elim) (λ h, (hz h).elim) },
rcases hxy.exists_pos hx hy with ⟨r₁, r₂, hr₁, hr₂, h₁⟩,
rcases hyz.exists_pos hy hz with ⟨r₃, r₄, hr₃, hr₄, h₂⟩,
refine or.inr (or.inr $ ⟨r₃ * r₁, r₂ * r₄, mul_pos hr₃ hr₁, mul_pos hr₂ hr₄, _⟩),
rw [mul_smul, mul_smul, h₁, ← h₂, smul_comm]
end
/-- A vector is in the same ray as a nonnegative multiple of itself. -/
lemma _root_.same_ray_nonneg_smul_right (v : M) {r : R} (h : 0 ≤ r) : same_ray R v (r • v) :=
or.inr $ h.eq_or_lt.imp (λ h, h ▸ zero_smul R v) $
λ h, ⟨r, 1, h, by { nontriviality R, exact zero_lt_one }, (one_smul _ _).symm⟩
/-- A vector is in the same ray as a positive multiple of itself. -/
lemma _root_.same_ray_pos_smul_right (v : M) {r : R} (h : 0 < r) : same_ray R v (r • v) :=
same_ray_nonneg_smul_right v h.le
/-- A vector is in the same ray as a nonnegative multiple of one it is in the same ray as. -/
lemma nonneg_smul_right {r : R} (h : same_ray R x y) (hr : 0 ≤ r) : same_ray R x (r • y) :=
h.trans (same_ray_nonneg_smul_right y hr) $ λ hy, or.inr $ by rw [hy, smul_zero]
/-- A vector is in the same ray as a positive multiple of one it is in the same ray as. -/
lemma pos_smul_right {r : R} (h : same_ray R x y) (hr : 0 < r) : same_ray R x (r • y) :=
h.nonneg_smul_right hr.le
/-- A nonnegative multiple of a vector is in the same ray as that vector. -/
lemma _root_.same_ray_nonneg_smul_left (v : M) {r : R} (h : 0 ≤ r) : same_ray R (r • v) v :=
(same_ray_nonneg_smul_right v h).symm
/-- A positive multiple of a vector is in the same ray as that vector. -/
lemma _root_.same_ray_pos_smul_left (v : M) {r : R} (h : 0 < r) : same_ray R (r • v) v :=
same_ray_nonneg_smul_left v h.le
/-- A nonnegative multiple of a vector is in the same ray as one it is in the same ray as. -/
lemma nonneg_smul_left {r : R} (h : same_ray R x y) (hr : 0 ≤ r) : same_ray R (r • x) y :=
(h.symm.nonneg_smul_right hr).symm
/-- A positive multiple of a vector is in the same ray as one it is in the same ray as. -/
lemma pos_smul_left {r : R} (h : same_ray R x y) (hr : 0 < r) : same_ray R (r • x) y :=
h.nonneg_smul_left hr.le
/-- If two vectors are on the same ray then they remain so after applying a linear map. -/
lemma map (f : M →ₗ[R] N) (h : same_ray R x y) : same_ray R (f x) (f y) :=
h.imp (λ hx, by rw [hx, map_zero]) $ or.imp (λ hy, by rw [hy, map_zero]) $
λ ⟨r₁, r₂, hr₁, hr₂, h⟩, ⟨r₁, r₂, hr₁, hr₂, by rw [←f.map_smul, ←f.map_smul, h]⟩
/-- The images of two vectors under a linear equivalence are on the same ray if and only if the
original vectors are on the same ray. -/
@[simp] lemma _root_.same_ray_map_iff (e : M ≃ₗ[R] N) : same_ray R (e x) (e y) ↔ same_ray R x y :=
⟨λ h, by simpa using same_ray.map e.symm.to_linear_map h, same_ray.map e.to_linear_map⟩
/-- If two vectors are on the same ray then both scaled by the same action are also on the same
ray. -/
lemma smul {S : Type*} [monoid S] [distrib_mul_action S M] [smul_comm_class R S M]
(h : same_ray R x y) (s : S) : same_ray R (s • x) (s • y) :=
h.map (s • (linear_map.id : M →ₗ[R] M))
/-- If `x` and `y` are on the same ray as `z`, then so is `x + y`. -/
lemma add_left (hx : same_ray R x z) (hy : same_ray R y z) : same_ray R (x + y) z :=
begin
rcases eq_or_ne x 0 with rfl|hx₀, { rwa zero_add },
rcases eq_or_ne y 0 with rfl|hy₀, { rwa add_zero },
rcases eq_or_ne z 0 with rfl|hz₀, { apply zero_right },
rcases hx.exists_pos hx₀ hz₀ with ⟨rx, rz₁, hrx, hrz₁, Hx⟩,
rcases hy.exists_pos hy₀ hz₀ with ⟨ry, rz₂, hry, hrz₂, Hy⟩,
refine or.inr (or.inr ⟨rx * ry, ry * rz₁ + rx * rz₂, mul_pos hrx hry, _, _⟩),
{ apply_rules [add_pos, mul_pos] },
{ simp only [mul_smul, smul_add, add_smul, ← Hx, ← Hy],
rw smul_comm }
end
/-- If `y` and `z` are on the same ray as `x`, then so is `y + z`. -/
lemma add_right (hy : same_ray R x y) (hz : same_ray R x z) : same_ray R x (y + z) :=
(hy.symm.add_left hz.symm).symm
end same_ray
/-- Nonzero vectors, as used to define rays. This type depends on an unused argument `R` so that
`ray_vector.setoid` can be an instance. -/
@[nolint unused_arguments has_inhabited_instance]
def ray_vector (R M : Type*) [has_zero M] := {v : M // v ≠ 0}
instance ray_vector.has_coe {R M : Type*} [has_zero M] :
has_coe (ray_vector R M) M := coe_subtype
instance {R M : Type*} [has_zero M] [nontrivial M] : nonempty (ray_vector R M) :=
let ⟨x, hx⟩ := exists_ne (0 : M) in ⟨⟨x, hx⟩⟩
variables (R M)
/-- The setoid of the `same_ray` relation for the subtype of nonzero vectors. -/
instance : setoid (ray_vector R M) :=
{ r := λ x y, same_ray R (x : M) y,
iseqv := ⟨λ x, same_ray.refl _, λ x y h, h.symm,
λ x y z hxy hyz, hxy.trans hyz $ λ hy, (y.2 hy).elim⟩ }
/-- A ray (equivalence class of nonzero vectors with common positive multiples) in a module. -/
@[nolint has_inhabited_instance]
def module.ray := quotient (ray_vector.setoid R M)
variables {R M}
/-- Equivalence of nonzero vectors, in terms of same_ray. -/
lemma equiv_iff_same_ray {v₁ v₂ : ray_vector R M} :
v₁ ≈ v₂ ↔ same_ray R (v₁ : M) v₂ :=
iff.rfl
variables (R)
/-- The ray given by a nonzero vector. -/
protected def ray_of_ne_zero (v : M) (h : v ≠ 0) : module.ray R M := ⟦⟨v, h⟩⟧
/-- An induction principle for `module.ray`, used as `induction x using module.ray.ind`. -/
lemma module.ray.ind {C : module.ray R M → Prop}
(h : ∀ v (hv : v ≠ 0), C (ray_of_ne_zero R v hv)) (x : module.ray R M) : C x :=
quotient.ind (subtype.rec $ by exact h) x
variable {R}
instance [nontrivial M] : nonempty (module.ray R M) :=
nonempty.map quotient.mk infer_instance
/-- The rays given by two nonzero vectors are equal if and only if those vectors
satisfy `same_ray`. -/
lemma ray_eq_iff {v₁ v₂ : M} (hv₁ : v₁ ≠ 0) (hv₂ : v₂ ≠ 0) :
ray_of_ne_zero R _ hv₁ = ray_of_ne_zero R _ hv₂ ↔ same_ray R v₁ v₂ :=
quotient.eq
/-- The ray given by a positive multiple of a nonzero vector. -/
@[simp] lemma ray_pos_smul {v : M} (h : v ≠ 0) {r : R} (hr : 0 < r)
(hrv : r • v ≠ 0) : ray_of_ne_zero R (r • v) hrv = ray_of_ne_zero R v h :=
(ray_eq_iff _ _).2 $ same_ray_pos_smul_left v hr
/-- An equivalence between modules implies an equivalence between ray vectors. -/
def ray_vector.map_linear_equiv (e : M ≃ₗ[R] N) : ray_vector R M ≃ ray_vector R N :=
equiv.subtype_equiv e.to_equiv $ λ _, e.map_ne_zero_iff.symm
/-- An equivalence between modules implies an equivalence between rays. -/
def module.ray.map (e : M ≃ₗ[R] N) : module.ray R M ≃ module.ray R N :=
quotient.congr (ray_vector.map_linear_equiv e) $ λ ⟨a, ha⟩ ⟨b, hb⟩, (same_ray_map_iff _).symm
@[simp] lemma module.ray.map_apply (e : M ≃ₗ[R] N) (v : M) (hv : v ≠ 0) :
module.ray.map e (ray_of_ne_zero _ v hv) = ray_of_ne_zero _ (e v) (e.map_ne_zero_iff.2 hv) := rfl
@[simp] lemma module.ray.map_refl : (module.ray.map $ linear_equiv.refl R M) = equiv.refl _ :=
equiv.ext $ module.ray.ind R $ λ _ _, rfl
@[simp] lemma module.ray.map_symm (e : M ≃ₗ[R] N) :
(module.ray.map e).symm = module.ray.map e.symm := rfl
section action
variables {G : Type*} [group G] [distrib_mul_action G M]
/-- Any invertible action preserves the non-zeroness of ray vectors. This is primarily of interest
when `G = Rˣ` -/
instance {R : Type*} : mul_action G (ray_vector R M) :=
{ smul := λ r, (subtype.map ((•) r) $ λ a, (smul_ne_zero_iff_ne _).2),
mul_smul := λ a b m, subtype.ext $ mul_smul a b _,
one_smul := λ m, subtype.ext $ one_smul _ _ }
variables [smul_comm_class R G M]
/-- Any invertible action preserves the non-zeroness of rays. This is primarily of interest when
`G = Rˣ` -/
instance : mul_action G (module.ray R M) :=
{ smul := λ r, quotient.map ((•) r) (λ a b h, h.smul _),
mul_smul := λ a b, quotient.ind $ by exact(λ m, congr_arg quotient.mk $ mul_smul a b _),
one_smul := quotient.ind $ by exact (λ m, congr_arg quotient.mk $ one_smul _ _), }
/-- The action via `linear_equiv.apply_distrib_mul_action` corresponds to `module.ray.map`. -/
@[simp] lemma module.ray.linear_equiv_smul_eq_map (e : M ≃ₗ[R] M) (v : module.ray R M) :
e • v = module.ray.map e v := rfl
@[simp] lemma smul_ray_of_ne_zero (g : G) (v : M) (hv) :
g • ray_of_ne_zero R v hv = ray_of_ne_zero R (g • v) ((smul_ne_zero_iff_ne _).2 hv) := rfl
end action
namespace module.ray
/-- Scaling by a positive unit is a no-op. -/
lemma units_smul_of_pos (u : Rˣ) (hu : 0 < (u : R)) (v : module.ray R M) :
u • v = v :=
begin
induction v using module.ray.ind,
rw [smul_ray_of_ne_zero, ray_eq_iff],
exact same_ray_pos_smul_left _ hu
end
/-- An arbitrary `ray_vector` giving a ray. -/
def some_ray_vector (x : module.ray R M) : ray_vector R M := quotient.out x
/-- The ray of `some_ray_vector`. -/
@[simp] lemma some_ray_vector_ray (x : module.ray R M) :
(⟦x.some_ray_vector⟧ : module.ray R M) = x :=
quotient.out_eq _
/-- An arbitrary nonzero vector giving a ray. -/
def some_vector (x : module.ray R M) : M := x.some_ray_vector
/-- `some_vector` is nonzero. -/
@[simp] lemma some_vector_ne_zero (x : module.ray R M) : x.some_vector ≠ 0 :=
x.some_ray_vector.property
/-- The ray of `some_vector`. -/
@[simp] lemma some_vector_ray (x : module.ray R M) :
ray_of_ne_zero R _ x.some_vector_ne_zero = x :=
(congr_arg _ (subtype.coe_eta _ _) : _).trans x.out_eq
end module.ray
end ordered_comm_semiring
section ordered_comm_ring
variables {R : Type*} [ordered_comm_ring R]
variables {M N : Type*} [add_comm_group M] [add_comm_group N] [module R M] [module R N] {x y : M}
/-- `same_ray.neg` as an `iff`. -/
@[simp] lemma same_ray_neg_iff : same_ray R (-x) (-y) ↔ same_ray R x y :=
by simp only [same_ray, neg_eq_zero, smul_neg, neg_inj]
alias same_ray_neg_iff ↔ same_ray.of_neg same_ray.neg
lemma same_ray_neg_swap : same_ray R (-x) y ↔ same_ray R x (-y) :=
by rw [← same_ray_neg_iff, neg_neg]
lemma eq_zero_of_same_ray_neg_smul_right [no_zero_smul_divisors R M] {r : R} (hr : r < 0)
(h : same_ray R x (r • x)) :
x = 0 :=
begin
rcases h with rfl|h₀|⟨r₁, r₂, hr₁, hr₂, h⟩,
{ refl },
{ simpa [hr.ne] using h₀ },
{ rw [← sub_eq_zero, smul_smul, ← sub_smul, smul_eq_zero] at h,
refine h.resolve_left (ne_of_gt $ sub_pos.2 _),
exact (mul_neg_of_pos_of_neg hr₂ hr).trans hr₁ }
end
/-- If a vector is in the same ray as its negation, that vector is zero. -/
lemma eq_zero_of_same_ray_self_neg [no_zero_smul_divisors R M] (h : same_ray R x (-x)) :
x = 0 :=
begin
nontriviality M, haveI : nontrivial R := module.nontrivial R M,
refine eq_zero_of_same_ray_neg_smul_right (neg_lt_zero.2 (@one_pos R _ _)) _,
rwa [neg_one_smul]
end
namespace ray_vector
/-- Negating a nonzero vector. -/
instance {R : Type*} : has_neg (ray_vector R M) := ⟨λ v, ⟨-v, neg_ne_zero.2 v.prop⟩⟩
/-- Negating a nonzero vector commutes with coercion to the underlying module. -/
@[simp, norm_cast] lemma coe_neg {R : Type*} (v : ray_vector R M) : ↑(-v) = -(v : M) := rfl
/-- Negating a nonzero vector twice produces the original vector. -/
instance {R : Type*} : has_involutive_neg (ray_vector R M) :=
{ neg := has_neg.neg,
neg_neg := λ v, by rw [subtype.ext_iff, coe_neg, coe_neg, neg_neg] }
/-- If two nonzero vectors are equivalent, so are their negations. -/
@[simp] lemma equiv_neg_iff {v₁ v₂ : ray_vector R M} : -v₁ ≈ -v₂ ↔ v₁ ≈ v₂ :=
same_ray_neg_iff
end ray_vector
variables (R)
/-- Negating a ray. -/
instance : has_neg (module.ray R M) :=
⟨quotient.map (λ v, -v) (λ v₁ v₂, ray_vector.equiv_neg_iff.2)⟩
/-- The ray given by the negation of a nonzero vector. -/
@[simp] lemma neg_ray_of_ne_zero (v : M) (h : v ≠ 0) :
-(ray_of_ne_zero R _ h) = ray_of_ne_zero R (-v) (neg_ne_zero.2 h) :=
rfl
namespace module.ray
variables {R}
/-- Negating a ray twice produces the original ray. -/
instance : has_involutive_neg (module.ray R M) :=
{ neg := has_neg.neg,
neg_neg := λ x, quotient.ind (λ a, congr_arg quotient.mk $ neg_neg _) x }
variables {R M}
/-- A ray does not equal its own negation. -/
lemma ne_neg_self [no_zero_smul_divisors R M] (x : module.ray R M) : x ≠ -x :=
begin
induction x using module.ray.ind with x hx,
rw [neg_ray_of_ne_zero, ne.def, ray_eq_iff],
exact mt eq_zero_of_same_ray_self_neg hx
end
lemma neg_units_smul (u : Rˣ) (v : module.ray R M) : (-u) • v = - (u • v) :=
begin
induction v using module.ray.ind,
simp only [smul_ray_of_ne_zero, units.smul_def, units.coe_neg, neg_smul, neg_ray_of_ne_zero]
end
/-- Scaling by a negative unit is negation. -/
lemma units_smul_of_neg (u : Rˣ) (hu : (u : R) < 0) (v : module.ray R M) :
u • v = -v :=
begin
rw [← neg_inj, neg_neg, ← neg_units_smul, units_smul_of_pos],
rwa [units.coe_neg, right.neg_pos_iff]
end
end module.ray
end ordered_comm_ring
section linear_ordered_comm_ring
variables {R : Type*} [linear_ordered_comm_ring R]
variables {M : Type*} [add_comm_group M] [module R M]
/-- `same_ray` follows from membership of `mul_action.orbit` for the `units.pos_subgroup`. -/
lemma same_ray_of_mem_orbit {v₁ v₂ : M} (h : v₁ ∈ mul_action.orbit (units.pos_subgroup R) v₂) :
same_ray R v₁ v₂ :=
begin
rcases h with ⟨⟨r, hr : 0 < (r : R)⟩, (rfl : r • v₂ = v₁)⟩,
exact same_ray_pos_smul_left _ hr
end
/-- Scaling by an inverse unit is the same as scaling by itself. -/
@[simp] lemma units_inv_smul (u : Rˣ) (v : module.ray R M) :
u⁻¹ • v = u • v :=
calc u⁻¹ • v = (u * u) • u⁻¹ • v :
eq.symm $ (u⁻¹ • v).units_smul_of_pos _ $ mul_self_pos.2 u.ne_zero
... = u • v : by rw [mul_smul, smul_inv_smul]
section
variables [no_zero_smul_divisors R M]
@[simp] lemma same_ray_smul_right_iff {v : M} {r : R} :
same_ray R v (r • v) ↔ 0 ≤ r ∨ v = 0 :=
⟨λ hrv, or_iff_not_imp_left.2 $ λ hr, eq_zero_of_same_ray_neg_smul_right (not_le.1 hr) hrv,
or_imp_distrib.2 ⟨same_ray_nonneg_smul_right v, λ h, h.symm ▸ same_ray.zero_left _⟩⟩
/-- A nonzero vector is in the same ray as a multiple of itself if and only if that multiple
is positive. -/
lemma same_ray_smul_right_iff_of_ne {v : M} (hv : v ≠ 0) {r : R} (hr : r ≠ 0) :
same_ray R v (r • v) ↔ 0 < r :=
by simp only [same_ray_smul_right_iff, hv, or_false, hr.symm.le_iff_lt]
@[simp] lemma same_ray_smul_left_iff {v : M} {r : R} : same_ray R (r • v) v ↔ 0 ≤ r ∨ v = 0 :=
same_ray_comm.trans same_ray_smul_right_iff
/-- A multiple of a nonzero vector is in the same ray as that vector if and only if that multiple
is positive. -/
lemma same_ray_smul_left_iff_of_ne {v : M} (hv : v ≠ 0) {r : R} (hr : r ≠ 0) :
same_ray R (r • v) v ↔ 0 < r :=
same_ray_comm.trans (same_ray_smul_right_iff_of_ne hv hr)
@[simp] lemma same_ray_neg_smul_right_iff {v : M} {r : R} :
same_ray R (-v) (r • v) ↔ r ≤ 0 ∨ v = 0 :=
by rw [← same_ray_neg_iff, neg_neg, ← neg_smul, same_ray_smul_right_iff, neg_nonneg]
lemma same_ray_neg_smul_right_iff_of_ne {v : M} {r : R} (hv : v ≠ 0) (hr : r ≠ 0) :
same_ray R (-v) (r • v) ↔ r < 0 :=
by simp only [same_ray_neg_smul_right_iff, hv, or_false, hr.le_iff_lt]
@[simp] lemma same_ray_neg_smul_left_iff {v : M} {r : R} :
same_ray R (r • v) (-v) ↔ r ≤ 0 ∨ v = 0 :=
same_ray_comm.trans same_ray_neg_smul_right_iff
lemma same_ray_neg_smul_left_iff_of_ne {v : M} {r : R} (hv : v ≠ 0) (hr : r ≠ 0) :
same_ray R (r • v) (-v) ↔ r < 0 :=
same_ray_comm.trans $ same_ray_neg_smul_right_iff_of_ne hv hr
@[simp] lemma units_smul_eq_self_iff {u : Rˣ} {v : module.ray R M} :
u • v = v ↔ (0 : R) < u :=
begin
induction v using module.ray.ind with v hv,
simp only [smul_ray_of_ne_zero, ray_eq_iff, units.smul_def,
same_ray_smul_left_iff_of_ne hv u.ne_zero]
end
@[simp] lemma units_smul_eq_neg_iff {u : Rˣ} {v : module.ray R M} :
u • v = -v ↔ ↑u < (0 : R) :=
by rw [← neg_inj, neg_neg, ← module.ray.neg_units_smul, units_smul_eq_self_iff, units.coe_neg,
neg_pos]
end
end linear_ordered_comm_ring
namespace same_ray
variables {R : Type*} [linear_ordered_field R]
variables {M : Type*} [add_comm_group M] [module R M] {x y v₁ v₂ : M}
lemma exists_pos_left (h : same_ray R x y) (hx : x ≠ 0) (hy : y ≠ 0) :
∃ r : R, 0 < r ∧ r • x = y :=
let ⟨r₁, r₂, hr₁, hr₂, h⟩ := h.exists_pos hx hy in
⟨r₂⁻¹ * r₁, mul_pos (inv_pos.2 hr₂) hr₁, by rw [mul_smul, h, inv_smul_smul₀ hr₂.ne']⟩
lemma exists_pos_right (h : same_ray R x y) (hx : x ≠ 0) (hy : y ≠ 0) :
∃ r : R, 0 < r ∧ x = r • y :=
(h.symm.exists_pos_left hy hx).imp $ λ _, and.imp_right eq.symm
/-- If a vector `v₂` is on the same ray as a nonzero vector `v₁`, then it is equal to `c • v₁` for
some nonnegative `c`. -/
lemma exists_nonneg_left (h : same_ray R x y) (hx : x ≠ 0) : ∃ r : R, 0 ≤ r ∧ r • x = y :=
begin
obtain rfl | hy := eq_or_ne y 0,
{ exact ⟨0, le_rfl, zero_smul _ _⟩ },
{ exact (h.exists_pos_left hx hy).imp (λ _, and.imp_left le_of_lt) }
end
/-- If a vector `v₁` is on the same ray as a nonzero vector `v₂`, then it is equal to `c • v₂` for
some nonnegative `c`. -/
lemma exists_nonneg_right (h : same_ray R x y) (hy : y ≠ 0) : ∃ r : R, 0 ≤ r ∧ x = r • y :=
(h.symm.exists_nonneg_left hy).imp $ λ _, and.imp_right eq.symm
/-- If vectors `v₁` and `v₂` are on the same ray, then for some nonnegative `a b`, `a + b = 1`, we
have `v₁ = a • (v₁ + v₂)` and `v₂ = b • (v₁ + v₂)`. -/
lemma exists_eq_smul_add (h : same_ray R v₁ v₂) :
∃ a b : R, 0 ≤ a ∧ 0 ≤ b ∧ a + b = 1 ∧ v₁ = a • (v₁ + v₂) ∧ v₂ = b • (v₁ + v₂) :=
begin
rcases h with rfl|rfl|⟨r₁, r₂, h₁, h₂, H⟩,
{ use [0, 1], simp },
{ use [1, 0], simp },
{ have h₁₂ : 0 < r₁ + r₂, from add_pos h₁ h₂,
refine ⟨r₂ / (r₁ + r₂), r₁ / (r₁ + r₂), div_nonneg h₂.le h₁₂.le, div_nonneg h₁.le h₁₂.le,
_, _, _⟩,
{ rw [← add_div, add_comm, div_self h₁₂.ne'] },
{ rw [div_eq_inv_mul, mul_smul, smul_add, ← H, ← add_smul, add_comm r₂,
inv_smul_smul₀ h₁₂.ne'] },
{ rw [div_eq_inv_mul, mul_smul, smul_add, H, ← add_smul, add_comm r₂,
inv_smul_smul₀ h₁₂.ne'] } }
end
/-- If vectors `v₁` and `v₂` are on the same ray, then they are nonnegative multiples of the same
vector. Actually, this vector can be assumed to be `v₁ + v₂`, see `same_ray.exists_eq_smul_add`. -/
lemma exists_eq_smul (h : same_ray R v₁ v₂) :
∃ (u : M) (a b : R), 0 ≤ a ∧ 0 ≤ b ∧ a + b = 1 ∧ v₁ = a • u ∧ v₂ = b • u :=
⟨v₁ + v₂, h.exists_eq_smul_add⟩
end same_ray
|
b18d24604550e70f73077860afeda3d13aeca63b | 618003631150032a5676f229d13a079ac875ff77 | /src/algebra/category/Group/colimits.lean | bb20d907cfa72f5081ab337af15024a227c64dbf | [
"Apache-2.0"
] | permissive | awainverse/mathlib | 939b68c8486df66cfda64d327ad3d9165248c777 | ea76bd8f3ca0a8bf0a166a06a475b10663dec44a | refs/heads/master | 1,659,592,962,036 | 1,590,987,592,000 | 1,590,987,592,000 | 268,436,019 | 1 | 0 | Apache-2.0 | 1,590,990,500,000 | 1,590,990,500,000 | null | UTF-8 | Lean | false | false | 8,547 | lean | /-
Copyright (c) 2019 Scott Morrison. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Scott Morrison
-/
import algebra.category.Group.basic
import category_theory.limits.limits
import category_theory.limits.concrete_category
/-!
# The category of additive commutative groups has all colimits.
This file uses a "pre-automated" approach, just as for `Mon/colimits.lean`.
It is a very uniform approach, that conceivably could be synthesised directly
by a tactic that analyses the shape of `add_comm_group` and `monoid_hom`.
TODO:
In fact, in `AddCommGroup` there is a much nicer model of colimits as quotients
of finitely supported functions, and we really should implement this as well (or instead).
-/
universes u v
open category_theory
open category_theory.limits
-- [ROBOT VOICE]:
-- You should pretend for now that this file was automatically generated.
-- It follows the same template as colimits in Mon.
namespace AddCommGroup.colimits
/-!
We build the colimit of a diagram in `AddCommGroup` by constructing the
free group on the disjoint union of all the abelian groups in the diagram,
then taking the quotient by the abelian group laws within each abelian group,
and the identifications given by the morphisms in the diagram.
-/
variables {J : Type v} [small_category J] (F : J ⥤ AddCommGroup.{v})
/--
An inductive type representing all group expressions (without relations)
on a collection of types indexed by the objects of `J`.
-/
inductive prequotient
-- There's always `of`
| of : Π (j : J) (x : F.obj j), prequotient
-- Then one generator for each operation
| zero : prequotient
| neg : prequotient → prequotient
| add : prequotient → prequotient → prequotient
instance : inhabited (prequotient F) := ⟨prequotient.zero⟩
open prequotient
/--
The relation on `prequotient` saying when two expressions are equal
because of the abelian group laws, or
because one element is mapped to another by a morphism in the diagram.
-/
inductive relation : prequotient F → prequotient F → Prop
-- Make it an equivalence relation:
| refl : Π (x), relation x x
| symm : Π (x y) (h : relation x y), relation y x
| trans : Π (x y z) (h : relation x y) (k : relation y z), relation x z
-- There's always a `map` relation
| map : Π (j j' : J) (f : j ⟶ j') (x : F.obj j), relation (of j' (F.map f x)) (of j x)
-- Then one relation per operation, describing the interaction with `of`
| zero : Π (j), relation (of j 0) zero
| neg : Π (j) (x : F.obj j), relation (of j (-x)) (neg (of j x))
| add : Π (j) (x y : F.obj j), relation (of j (x + y)) (add (of j x) (of j y))
-- Then one relation per argument of each operation
| neg_1 : Π (x x') (r : relation x x'), relation (neg x) (neg x')
| add_1 : Π (x x' y) (r : relation x x'), relation (add x y) (add x' y)
| add_2 : Π (x y y') (r : relation y y'), relation (add x y) (add x y')
-- And one relation per axiom
| zero_add : Π (x), relation (add zero x) x
| add_zero : Π (x), relation (add x zero) x
| add_left_neg : Π (x), relation (add (neg x) x) zero
| add_comm : Π (x y), relation (add x y) (add y x)
| add_assoc : Π (x y z), relation (add (add x y) z) (add x (add y z))
/--
The setoid corresponding to group expressions modulo abelian group relations and identifications.
-/
def colimit_setoid : setoid (prequotient F) :=
{ r := relation F, iseqv := ⟨relation.refl, relation.symm, relation.trans⟩ }
attribute [instance] colimit_setoid
/--
The underlying type of the colimit of a diagram in `AddCommGroup`.
-/
@[derive inhabited]
def colimit_type : Type v := quotient (colimit_setoid F)
instance : add_comm_group (colimit_type F) :=
{ zero :=
begin
exact quot.mk _ zero
end,
neg :=
begin
fapply @quot.lift,
{ intro x,
exact quot.mk _ (neg x) },
{ intros x x' r,
apply quot.sound,
exact relation.neg_1 _ _ r },
end,
add :=
begin
fapply @quot.lift _ _ ((colimit_type F) → (colimit_type F)),
{ intro x,
fapply @quot.lift,
{ intro y,
exact quot.mk _ (add x y) },
{ intros y y' r,
apply quot.sound,
exact relation.add_2 _ _ _ r } },
{ intros x x' r,
funext y,
induction y,
dsimp,
apply quot.sound,
{ exact relation.add_1 _ _ _ r },
{ refl } },
end,
zero_add := λ x,
begin
induction x,
dsimp,
apply quot.sound,
apply relation.zero_add,
refl,
end,
add_zero := λ x,
begin
induction x,
dsimp,
apply quot.sound,
apply relation.add_zero,
refl,
end,
add_left_neg := λ x,
begin
induction x,
dsimp,
apply quot.sound,
apply relation.add_left_neg,
refl,
end,
add_comm := λ x y,
begin
induction x,
induction y,
dsimp,
apply quot.sound,
apply relation.add_comm,
refl,
refl,
end,
add_assoc := λ x y z,
begin
induction x,
induction y,
induction z,
dsimp,
apply quot.sound,
apply relation.add_assoc,
refl,
refl,
refl,
end, }
@[simp] lemma quot_zero : quot.mk setoid.r zero = (0 : colimit_type F) := rfl
@[simp] lemma quot_neg (x) :
quot.mk setoid.r (neg x) = (-(quot.mk setoid.r x) : colimit_type F) := rfl
@[simp] lemma quot_add (x y) :
quot.mk setoid.r (add x y) = ((quot.mk setoid.r x) + (quot.mk setoid.r y) : colimit_type F) := rfl
/-- The bundled abelian group giving the colimit of a diagram. -/
def colimit : AddCommGroup := AddCommGroup.of (colimit_type F)
/-- The function from a given abelian group in the diagram to the colimit abelian group. -/
def cocone_fun (j : J) (x : F.obj j) : colimit_type F :=
quot.mk _ (of j x)
/-- The group homomorphism from a given abelian group in the diagram to the colimit abelian
group. -/
def cocone_morphism (j : J) : F.obj j ⟶ colimit F :=
{ to_fun := cocone_fun F j,
map_zero' := by apply quot.sound; apply relation.zero,
map_add' := by intros; apply quot.sound; apply relation.add }
@[simp] lemma cocone_naturality {j j' : J} (f : j ⟶ j') :
F.map f ≫ (cocone_morphism F j') = cocone_morphism F j :=
begin
ext,
apply quot.sound,
apply relation.map,
end
@[simp] lemma cocone_naturality_components (j j' : J) (f : j ⟶ j') (x : F.obj j):
(cocone_morphism F j') (F.map f x) = (cocone_morphism F j) x :=
by { rw ←cocone_naturality F f, refl }
/-- The cocone over the proposed colimit abelian group. -/
def colimit_cocone : cocone F :=
{ X := colimit F,
ι :=
{ app := cocone_morphism F } }.
/-- The function from the free abelian group on the diagram to the cone point of any other
cocone. -/
@[simp] def desc_fun_lift (s : cocone F) : prequotient F → s.X
| (of j x) := (s.ι.app j) x
| zero := 0
| (neg x) := -(desc_fun_lift x)
| (add x y) := desc_fun_lift x + desc_fun_lift y
/-- The function from the colimit abelian group to the cone point of any other cocone. -/
def desc_fun (s : cocone F) : colimit_type F → s.X :=
begin
fapply quot.lift,
{ exact desc_fun_lift F s },
{ intros x y r,
induction r; try { dsimp },
-- refl
{ refl },
-- symm
{ exact r_ih.symm },
-- trans
{ exact eq.trans r_ih_h r_ih_k },
-- map
{ simp, },
-- zero
{ simp, },
-- neg
{ simp, },
-- add
{ simp, },
-- neg_1
{ rw r_ih, },
-- add_1
{ rw r_ih, },
-- add_2
{ rw r_ih, },
-- zero_add
{ rw zero_add, },
-- add_zero
{ rw add_zero, },
-- add_left_neg
{ rw add_left_neg, },
-- add_comm
{ rw add_comm, },
-- add_assoc
{ rw add_assoc, },
}
end
/-- The group homomorphism from the colimit abelian group to the cone point of any other cocone. -/
@[simps]
def desc_morphism (s : cocone F) : colimit F ⟶ s.X :=
{ to_fun := desc_fun F s,
map_zero' := rfl,
map_add' := λ x y, by { induction x; induction y; refl }, }
/-- Evidence that the proposed colimit is the colimit. -/
def colimit_is_colimit : is_colimit (colimit_cocone F) :=
{ desc := λ s, desc_morphism F s,
uniq' := λ s m w,
begin
ext,
induction x,
induction x,
{ have w' := congr_fun (congr_arg (λ f : F.obj x_j ⟶ s.X, (f : F.obj x_j → s.X)) (w x_j)) x_x,
erw w',
refl, },
{ simp *, },
{ simp *, },
{ simp *, },
refl
end }.
instance has_colimits_AddCommGroup : has_colimits.{v} AddCommGroup.{v} :=
{ has_colimits_of_shape := λ J 𝒥,
{ has_colimit := λ F, by exactI
{ cocone := colimit_cocone F,
is_colimit := colimit_is_colimit F } } }
end AddCommGroup.colimits
|
60d329f17f51f7c19ed89aa5f7d7a2c162bf1f46 | 94637389e03c919023691dcd05bd4411b1034aa5 | /src/profNotes/tactic_mode_introduction.lean | 28a6f97a27075076a66532c0e244d6da427746dd | [] | no_license | kevinsullivan/complogic-s21 | 7c4eef2105abad899e46502270d9829d913e8afc | 99039501b770248c8ceb39890be5dfe129dc1082 | refs/heads/master | 1,682,985,669,944 | 1,621,126,241,000 | 1,621,126,241,000 | 335,706,272 | 0 | 38 | null | 1,618,325,669,000 | 1,612,374,118,000 | Lean | UTF-8 | Lean | false | false | 966 | lean | -- boolean and
-- c-style
def band_c (b1 b2 : bool) : bool :=
match b1 with
| tt := match b2 with
| tt := tt
| ff := ff
end
| ff := ff
end
-- cases/equations
def band_eqs : bool → bool → bool
| tt tt := tt
| _ _ := ff
-- lambda
def band_lambda : bool → bool → bool :=
λ b1 b2,
match b1 with
| tt := match b2 with
| tt := tt
| ff := ff
end
| ff := ff
end
-- tactic mode!
def band_tactic : bool → bool → bool :=
begin
assume b1 b2,
cases b1,
exact ff,
cases b2,
exact ff,
exact tt,
end
#check band_tactic
#eval band_tactic tt ff
def is_zero : nat → bool :=
begin
assume n,
cases n with n',
exact tt,
exact ff,
end
#eval is_zero 5
inductive day : Type
| mo
| tu
| we
| th
| fr
| sa
| su
open day
def next_day : day → day :=
begin
assume d,
cases d,
exact tu,
exact we,
exact th,
exact fr,
exact sa,
exact su,
exact mo,
end
#reduce next_day tu |
b7555b5031ccd4749710e05df9dfc6659174cb03 | 367134ba5a65885e863bdc4507601606690974c1 | /src/topology/maps.lean | 05787697b6f92940b0bc8d57c2fb4c7b06ecb0a9 | [
"Apache-2.0"
] | permissive | kodyvajjha/mathlib | 9bead00e90f68269a313f45f5561766cfd8d5cad | b98af5dd79e13a38d84438b850a2e8858ec21284 | refs/heads/master | 1,624,350,366,310 | 1,615,563,062,000 | 1,615,563,062,000 | 162,666,963 | 0 | 0 | Apache-2.0 | 1,545,367,651,000 | 1,545,367,651,000 | null | UTF-8 | Lean | false | false | 17,249 | lean | /-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Mario Carneiro, Patrick Massot
-/
import topology.order
/-!
# Specific classes of maps between topological spaces
This file introduces the following properties of a map `f : X → Y` between topological spaces:
* `is_open_map f` means the image of an open set under `f` is open.
* `is_closed_map f` means the image of a closed set under `f` is closed.
(Open and closed maps need not be continuous.)
* `inducing f` means the topology on `X` is the one induced via `f` from the topology on `Y`.
These behave like embeddings except they need not be injective. Instead, points of `X` which
are identified by `f` are also indistinguishable in the topology on `X`.
* `embedding f` means `f` is inducing and also injective. Equivalently, `f` identifies `X` with
a subspace of `Y`.
* `open_embedding f` means `f` is an embedding with open image, so it identifies `X` with an
open subspace of `Y`. Equivalently, `f` is an embedding and an open map.
* `closed_embedding f` similarly means `f` is an embedding with closed image, so it identifies
`X` with a closed subspace of `Y`. Equivalently, `f` is an embedding and a closed map.
* `quotient_map f` is the dual condition to `embedding f`: `f` is surjective and the topology
on `Y` is the one coinduced via `f` from the topology on `X`. Equivalently, `f` identifies
`Y` with a quotient of `X`. Quotient maps are also sometimes known as identification maps.
## References
* <https://en.wikipedia.org/wiki/Open_and_closed_maps>
* <https://en.wikipedia.org/wiki/Embedding#General_topology>
* <https://en.wikipedia.org/wiki/Quotient_space_(topology)#Quotient_map>
## Tags
open map, closed map, embedding, quotient map, identification map
-/
open set filter
open_locale topological_space filter
variables {α : Type*} {β : Type*} {γ : Type*} {δ : Type*}
section inducing
structure inducing [tα : topological_space α] [tβ : topological_space β] (f : α → β) : Prop :=
(induced : tα = tβ.induced f)
variables [topological_space α] [topological_space β] [topological_space γ] [topological_space δ]
lemma inducing_id : inducing (@id α) :=
⟨induced_id.symm⟩
protected lemma inducing.comp {g : β → γ} {f : α → β} (hg : inducing g) (hf : inducing f) :
inducing (g ∘ f) :=
⟨by rw [hf.induced, hg.induced, induced_compose]⟩
lemma inducing_of_inducing_compose {f : α → β} {g : β → γ} (hf : continuous f) (hg : continuous g)
(hgf : inducing (g ∘ f)) : inducing f :=
⟨le_antisymm
(by rwa ← continuous_iff_le_induced)
(by { rw [hgf.induced, ← continuous_iff_le_induced], apply hg.comp continuous_induced_dom })⟩
lemma inducing.nhds_eq_comap {f : α → β} (hf : inducing f) :
∀ (a : α), 𝓝 a = comap f (𝓝 $ f a) :=
(induced_iff_nhds_eq f).1 hf.induced
lemma inducing.map_nhds_eq {f : α → β} (hf : inducing f) (a : α) :
(𝓝 a).map f = 𝓝[range f] (f a) :=
hf.induced.symm ▸ map_nhds_induced_eq a
lemma inducing.map_nhds_of_mem {f : α → β} (hf : inducing f) (a : α) (h : range f ∈ 𝓝 (f a)) :
(𝓝 a).map f = 𝓝 (f a) :=
hf.induced.symm ▸ map_nhds_induced_of_mem h
lemma inducing.tendsto_nhds_iff {ι : Type*}
{f : ι → β} {g : β → γ} {a : filter ι} {b : β} (hg : inducing g) :
tendsto f a (𝓝 b) ↔ tendsto (g ∘ f) a (𝓝 (g b)) :=
by rw [tendsto, tendsto, hg.induced, nhds_induced, ← map_le_iff_le_comap, filter.map_map]
lemma inducing.continuous_iff {f : α → β} {g : β → γ} (hg : inducing g) :
continuous f ↔ continuous (g ∘ f) :=
by simp [continuous_iff_continuous_at, continuous_at, inducing.tendsto_nhds_iff hg]
lemma inducing.continuous {f : α → β} (hf : inducing f) : continuous f :=
hf.continuous_iff.mp continuous_id
lemma inducing.closure_eq_preimage_closure_image {f : α → β} (hf : inducing f) (s : set α) :
closure s = f ⁻¹' closure (f '' s) :=
by { ext x, rw [set.mem_preimage, ← closure_induced, hf.induced] }
lemma inducing.is_closed_iff {f : α → β} (hf : inducing f) {s : set α} :
is_closed s ↔ ∃ t, is_closed t ∧ f ⁻¹' t = s :=
by rw [hf.induced, is_closed_induced_iff]
end inducing
section embedding
/-- A function between topological spaces is an embedding if it is injective,
and for all `s : set α`, `s` is open iff it is the preimage of an open set. -/
structure embedding [tα : topological_space α] [tβ : topological_space β] (f : α → β)
extends inducing f : Prop :=
(inj : function.injective f)
variables [topological_space α] [topological_space β] [topological_space γ]
lemma embedding.mk' (f : α → β) (inj : function.injective f)
(induced : ∀a, comap f (𝓝 (f a)) = 𝓝 a) : embedding f :=
⟨⟨(induced_iff_nhds_eq f).2 (λ a, (induced a).symm)⟩, inj⟩
lemma embedding_id : embedding (@id α) :=
⟨inducing_id, assume a₁ a₂ h, h⟩
lemma embedding.comp {g : β → γ} {f : α → β} (hg : embedding g) (hf : embedding f) :
embedding (g ∘ f) :=
{ inj:= assume a₁ a₂ h, hf.inj $ hg.inj h,
..hg.to_inducing.comp hf.to_inducing }
lemma embedding_of_embedding_compose {f : α → β} {g : β → γ} (hf : continuous f) (hg : continuous g)
(hgf : embedding (g ∘ f)) : embedding f :=
{ induced := (inducing_of_inducing_compose hf hg hgf.to_inducing).induced,
inj := assume a₁ a₂ h, hgf.inj $ by simp [h, (∘)] }
protected lemma function.left_inverse.embedding {f : α → β} {g : β → α}
(h : function.left_inverse f g) (hf : continuous f) (hg : continuous g) :
embedding g :=
embedding_of_embedding_compose hg hf $ h.comp_eq_id.symm ▸ embedding_id
lemma embedding.map_nhds_eq {f : α → β} (hf : embedding f) (a : α) :
(𝓝 a).map f = 𝓝[range f] (f a) :=
hf.1.map_nhds_eq a
lemma embedding.map_nhds_of_mem {f : α → β}
(hf : embedding f) (a : α) (h : range f ∈ 𝓝 (f a)) : (𝓝 a).map f = 𝓝 (f a) :=
hf.1.map_nhds_of_mem a h
lemma embedding.tendsto_nhds_iff {ι : Type*}
{f : ι → β} {g : β → γ} {a : filter ι} {b : β} (hg : embedding g) :
tendsto f a (𝓝 b) ↔ tendsto (g ∘ f) a (𝓝 (g b)) :=
by rw [tendsto, tendsto, hg.induced, nhds_induced, ← map_le_iff_le_comap, filter.map_map]
lemma embedding.continuous_iff {f : α → β} {g : β → γ} (hg : embedding g) :
continuous f ↔ continuous (g ∘ f) :=
inducing.continuous_iff hg.1
lemma embedding.continuous {f : α → β} (hf : embedding f) : continuous f :=
inducing.continuous hf.1
lemma embedding.closure_eq_preimage_closure_image {e : α → β} (he : embedding e) (s : set α) :
closure s = e ⁻¹' closure (e '' s) :=
he.1.closure_eq_preimage_closure_image s
end embedding
/-- A function between topological spaces is a quotient map if it is surjective,
and for all `s : set β`, `s` is open iff its preimage is an open set. -/
def quotient_map {α : Type*} {β : Type*} [tα : topological_space α] [tβ : topological_space β]
(f : α → β) : Prop :=
function.surjective f ∧ tβ = tα.coinduced f
lemma quotient_map_iff {α β : Type*} [topological_space α] [topological_space β] {f : α → β} :
quotient_map f ↔ function.surjective f ∧ ∀ s : set β, is_open s ↔ is_open (f ⁻¹' s) :=
and_congr iff.rfl topological_space_eq_iff
namespace quotient_map
variables [topological_space α] [topological_space β] [topological_space γ] [topological_space δ]
protected lemma id : quotient_map (@id α) :=
⟨assume a, ⟨a, rfl⟩, coinduced_id.symm⟩
protected lemma comp {g : β → γ} {f : α → β} (hg : quotient_map g) (hf : quotient_map f) :
quotient_map (g ∘ f) :=
⟨hg.left.comp hf.left, by rw [hg.right, hf.right, coinduced_compose]⟩
protected lemma of_quotient_map_compose {f : α → β} {g : β → γ}
(hf : continuous f) (hg : continuous g)
(hgf : quotient_map (g ∘ f)) : quotient_map g :=
⟨assume b, let ⟨a, h⟩ := hgf.left b in ⟨f a, h⟩,
le_antisymm
(by rw [hgf.right, ← continuous_iff_coinduced_le];
apply continuous_coinduced_rng.comp hf)
(by rwa ← continuous_iff_coinduced_le)⟩
protected lemma continuous_iff {f : α → β} {g : β → γ} (hf : quotient_map f) :
continuous g ↔ continuous (g ∘ f) :=
by rw [continuous_iff_coinduced_le, continuous_iff_coinduced_le, hf.right, coinduced_compose]
protected lemma continuous {f : α → β} (hf : quotient_map f) : continuous f :=
hf.continuous_iff.mp continuous_id
protected lemma surjective {f : α → β} (hf : quotient_map f) : function.surjective f := hf.1
protected lemma is_open_preimage {f : α → β} (hf : quotient_map f) {s : set β} :
is_open (f ⁻¹' s) ↔ is_open s :=
((quotient_map_iff.1 hf).2 s).symm
end quotient_map
/-- A map `f : α → β` is said to be an *open map*, if the image of any open `U : set α`
is open in `β`. -/
def is_open_map [topological_space α] [topological_space β] (f : α → β) :=
∀ U : set α, is_open U → is_open (f '' U)
namespace is_open_map
variables [topological_space α] [topological_space β] [topological_space γ] {f : α → β}
open function
protected lemma id : is_open_map (@id α) := assume s hs, by rwa [image_id]
protected lemma comp
{g : β → γ} {f : α → β} (hg : is_open_map g) (hf : is_open_map f) : is_open_map (g ∘ f) :=
by intros s hs; rw [image_comp]; exact hg _ (hf _ hs)
lemma is_open_range (hf : is_open_map f) : is_open (range f) :=
by { rw ← image_univ, exact hf _ is_open_univ }
lemma image_mem_nhds (hf : is_open_map f) {x : α} {s : set α} (hx : s ∈ 𝓝 x) :
f '' s ∈ 𝓝 (f x) :=
let ⟨t, hts, ht, hxt⟩ := mem_nhds_sets_iff.1 hx in
mem_sets_of_superset (mem_nhds_sets (hf t ht) (mem_image_of_mem _ hxt)) (image_subset _ hts)
lemma nhds_le (hf : is_open_map f) (a : α) : 𝓝 (f a) ≤ (𝓝 a).map f :=
le_map $ λ s, hf.image_mem_nhds
lemma of_nhds_le (hf : ∀ a, 𝓝 (f a) ≤ map f (𝓝 a)) : is_open_map f :=
λ s hs, is_open_iff_mem_nhds.2 $ λ b ⟨a, has, hab⟩,
hab ▸ hf _ (image_mem_map $ mem_nhds_sets hs has)
lemma of_inverse {f : α → β} {f' : β → α}
(h : continuous f') (l_inv : left_inverse f f') (r_inv : right_inverse f f') :
is_open_map f :=
begin
assume s hs,
rw [image_eq_preimage_of_inverse r_inv l_inv],
exact hs.preimage h
end
lemma to_quotient_map {f : α → β}
(open_map : is_open_map f) (cont : continuous f) (surj : function.surjective f) :
quotient_map f :=
⟨ surj,
begin
ext s,
show is_open s ↔ is_open (f ⁻¹' s),
split,
{ exact continuous_def.1 cont s },
{ assume h,
rw ← surj.image_preimage s,
exact open_map _ h }
end⟩
end is_open_map
lemma is_open_map_iff_nhds_le [topological_space α] [topological_space β] {f : α → β} :
is_open_map f ↔ ∀(a:α), 𝓝 (f a) ≤ (𝓝 a).map f :=
⟨λ hf, hf.nhds_le, is_open_map.of_nhds_le⟩
lemma inducing.is_open_map [topological_space α] [topological_space β] {f : α → β}
(hi : inducing f) (ho : is_open (range f)) :
is_open_map f :=
is_open_map.of_nhds_le $ λ x, (hi.map_nhds_of_mem _ $ mem_nhds_sets ho $ mem_range_self _).ge
section is_closed_map
variables [topological_space α] [topological_space β]
/-- A map `f : α → β` is said to be a *closed map*, if the image of any closed `U : set α`
is closed in `β`. -/
def is_closed_map (f : α → β) := ∀ U : set α, is_closed U → is_closed (f '' U)
end is_closed_map
namespace is_closed_map
variables [topological_space α] [topological_space β] [topological_space γ]
open function
protected lemma id : is_closed_map (@id α) := assume s hs, by rwa image_id
protected lemma comp {g : β → γ} {f : α → β} (hg : is_closed_map g) (hf : is_closed_map f) :
is_closed_map (g ∘ f) :=
by { intros s hs, rw image_comp, exact hg _ (hf _ hs) }
lemma of_inverse {f : α → β} {f' : β → α}
(h : continuous f') (l_inv : left_inverse f f') (r_inv : right_inverse f f') :
is_closed_map f :=
assume s hs,
have f' ⁻¹' s = f '' s, by ext x; simp [mem_image_iff_of_inverse r_inv l_inv],
this ▸ hs.preimage h
lemma of_nonempty {f : α → β} (h : ∀ s, is_closed s → s.nonempty → is_closed (f '' s)) :
is_closed_map f :=
begin
intros s hs, cases eq_empty_or_nonempty s with h2s h2s,
{ simp_rw [h2s, image_empty, is_closed_empty] },
{ exact h s hs h2s }
end
end is_closed_map
lemma inducing.is_closed_map [topological_space α] [topological_space β]
{f : α → β} (hf : inducing f) (h : is_closed (range f)) : is_closed_map f :=
begin
intros s hs,
rcases hf.is_closed_iff.1 hs with ⟨t, ht, rfl⟩,
rw image_preimage_eq_inter_range,
exact is_closed_inter ht h
end
section open_embedding
variables [topological_space α] [topological_space β] [topological_space γ]
/-- An open embedding is an embedding with open image. -/
structure open_embedding (f : α → β) extends embedding f : Prop :=
(open_range : is_open $ range f)
lemma open_embedding.is_open_map {f : α → β} (hf : open_embedding f) : is_open_map f :=
hf.to_embedding.to_inducing.is_open_map hf.open_range
lemma open_embedding.map_nhds_eq {f : α → β} (hf : open_embedding f) (a : α) :
map f (𝓝 a) = 𝓝 (f a) :=
hf.to_embedding.map_nhds_of_mem _ $ mem_nhds_sets hf.open_range $ mem_range_self _
lemma open_embedding.open_iff_image_open {f : α → β} (hf : open_embedding f)
{s : set α} : is_open s ↔ is_open (f '' s) :=
⟨hf.is_open_map s,
λ h, begin
convert ← h.preimage hf.to_embedding.continuous,
apply preimage_image_eq _ hf.inj
end⟩
lemma open_embedding.continuous {f : α → β} (hf : open_embedding f) : continuous f :=
hf.to_embedding.continuous
lemma open_embedding.open_iff_preimage_open {f : α → β} (hf : open_embedding f)
{s : set β} (hs : s ⊆ range f) : is_open s ↔ is_open (f ⁻¹' s) :=
begin
convert ←hf.open_iff_image_open.symm,
rwa [image_preimage_eq_inter_range, inter_eq_self_of_subset_left]
end
lemma open_embedding_of_embedding_open {f : α → β} (h₁ : embedding f)
(h₂ : is_open_map f) : open_embedding f :=
⟨h₁, h₂.is_open_range⟩
lemma open_embedding_of_continuous_injective_open {f : α → β} (h₁ : continuous f)
(h₂ : function.injective f) (h₃ : is_open_map f) : open_embedding f :=
begin
refine open_embedding_of_embedding_open ⟨⟨_⟩, h₂⟩ h₃,
apply le_antisymm (continuous_iff_le_induced.mp h₁) _,
intro s,
change is_open _ → is_open _,
rw is_open_induced_iff,
refine λ hs, ⟨f '' s, h₃ s hs, _⟩,
rw preimage_image_eq _ h₂
end
lemma open_embedding_id : open_embedding (@id α) :=
⟨embedding_id, by convert is_open_univ; apply range_id⟩
lemma open_embedding.comp {g : β → γ} {f : α → β}
(hg : open_embedding g) (hf : open_embedding f) : open_embedding (g ∘ f) :=
⟨hg.1.comp hf.1, show is_open (range (g ∘ f)),
by rw [range_comp, ←hg.open_iff_image_open]; exact hf.2⟩
end open_embedding
section closed_embedding
variables [topological_space α] [topological_space β] [topological_space γ]
/-- A closed embedding is an embedding with closed image. -/
structure closed_embedding (f : α → β) extends embedding f : Prop :=
(closed_range : is_closed $ range f)
variables {f : α → β}
lemma closed_embedding.continuous (hf : closed_embedding f) : continuous f :=
hf.to_embedding.continuous
lemma closed_embedding.is_closed_map (hf : closed_embedding f) : is_closed_map f :=
hf.to_embedding.to_inducing.is_closed_map hf.closed_range
lemma closed_embedding.closed_iff_image_closed (hf : closed_embedding f)
{s : set α} : is_closed s ↔ is_closed (f '' s) :=
⟨hf.is_closed_map s,
λ h, begin
convert ←continuous_iff_is_closed.mp hf.continuous _ h,
apply preimage_image_eq _ hf.inj
end⟩
lemma closed_embedding.closed_iff_preimage_closed (hf : closed_embedding f)
{s : set β} (hs : s ⊆ range f) : is_closed s ↔ is_closed (f ⁻¹' s) :=
begin
convert ←hf.closed_iff_image_closed.symm,
rwa [image_preimage_eq_inter_range, inter_eq_self_of_subset_left]
end
lemma closed_embedding_of_embedding_closed (h₁ : embedding f)
(h₂ : is_closed_map f) : closed_embedding f :=
⟨h₁, by convert h₂ univ is_closed_univ; simp⟩
lemma closed_embedding_of_continuous_injective_closed (h₁ : continuous f)
(h₂ : function.injective f) (h₃ : is_closed_map f) : closed_embedding f :=
begin
refine closed_embedding_of_embedding_closed ⟨⟨_⟩, h₂⟩ h₃,
apply le_antisymm (continuous_iff_le_induced.mp h₁) _,
intro s',
change is_open _ ≤ is_open _,
rw [←is_closed_compl_iff, ←is_closed_compl_iff],
generalize : s'ᶜ = s,
rw is_closed_induced_iff,
refine λ hs, ⟨f '' s, h₃ s hs, _⟩,
rw preimage_image_eq _ h₂
end
lemma closed_embedding_id : closed_embedding (@id α) :=
⟨embedding_id, by convert is_closed_univ; apply range_id⟩
lemma closed_embedding.comp {g : β → γ} {f : α → β}
(hg : closed_embedding g) (hf : closed_embedding f) : closed_embedding (g ∘ f) :=
⟨hg.to_embedding.comp hf.to_embedding, show is_closed (range (g ∘ f)),
by rw [range_comp, ←hg.closed_iff_image_closed]; exact hf.closed_range⟩
end closed_embedding
|
fc08f082d704f776e37a2dc9c533af4a6b182548 | 8cae430f0a71442d02dbb1cbb14073b31048e4b0 | /src/algebra/category/Ring/colimits.lean | c14f79f0734f1b63054fce376399657c5fa37b5b | [
"Apache-2.0"
] | permissive | leanprover-community/mathlib | 56a2cadd17ac88caf4ece0a775932fa26327ba0e | 442a83d738cb208d3600056c489be16900ba701d | refs/heads/master | 1,693,584,102,358 | 1,693,471,902,000 | 1,693,471,902,000 | 97,922,418 | 1,595 | 352 | Apache-2.0 | 1,694,693,445,000 | 1,500,624,130,000 | Lean | UTF-8 | Lean | false | false | 13,417 | lean | /-
Copyright (c) 2019 Scott Morrison. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Scott Morrison
-/
import algebra.category.Ring.basic
import category_theory.limits.has_limits
import category_theory.concrete_category.elementwise
/-!
# The category of commutative rings has all colimits.
> THIS FILE IS SYNCHRONIZED WITH MATHLIB4.
> Any changes to this file require a corresponding PR to mathlib4.
This file uses a "pre-automated" approach, just as for `Mon/colimits.lean`.
It is a very uniform approach, that conceivably could be synthesised directly
by a tactic that analyses the shape of `comm_ring` and `ring_hom`.
-/
universes u v
open category_theory
open category_theory.limits
-- [ROBOT VOICE]:
-- You should pretend for now that this file was automatically generated.
-- It follows the same template as colimits in Mon.
/-
`#print comm_ring` says:
structure comm_ring : Type u → Type u
fields:
comm_ring.zero : Π (α : Type u) [c : comm_ring α], α
comm_ring.one : Π (α : Type u) [c : comm_ring α], α
comm_ring.neg : Π {α : Type u} [c : comm_ring α], α → α
comm_ring.add : Π {α : Type u} [c : comm_ring α], α → α → α
comm_ring.mul : Π {α : Type u} [c : comm_ring α], α → α → α
comm_ring.zero_add : ∀ {α : Type u} [c : comm_ring α] (a : α), 0 + a = a
comm_ring.add_zero : ∀ {α : Type u} [c : comm_ring α] (a : α), a + 0 = a
comm_ring.one_mul : ∀ {α : Type u} [c : comm_ring α] (a : α), 1 * a = a
comm_ring.mul_one : ∀ {α : Type u} [c : comm_ring α] (a : α), a * 1 = a
comm_ring.add_left_neg : ∀ {α : Type u} [c : comm_ring α] (a : α), -a + a = 0
comm_ring.add_comm : ∀ {α : Type u} [c : comm_ring α] (a b : α), a + b = b + a
comm_ring.mul_comm : ∀ {α : Type u} [c : comm_ring α] (a b : α), a * b = b * a
comm_ring.add_assoc : ∀ {α : Type u} [c : comm_ring α] (a b c_1 : α), a + b + c_1 = a + (b + c_1)
comm_ring.mul_assoc : ∀ {α : Type u} [c : comm_ring α] (a b c_1 : α), a * b * c_1 = a * (b * c_1)
comm_ring.left_distrib : ∀ {α : Type u} [c : comm_ring α] (a b c_1 : α),
a * (b + c_1) = a * b + a * c_1
comm_ring.right_distrib : ∀ {α : Type u} [c : comm_ring α] (a b c_1 : α),
(a + b) * c_1 = a * c_1 + b * c_1
-/
namespace CommRing.colimits
/-!
We build the colimit of a diagram in `CommRing` by constructing the
free commutative ring on the disjoint union of all the commutative rings in the diagram,
then taking the quotient by the commutative ring laws within each commutative ring,
and the identifications given by the morphisms in the diagram.
-/
variables {J : Type v} [small_category J] (F : J ⥤ CommRing.{v})
/--
An inductive type representing all commutative ring expressions (without relations)
on a collection of types indexed by the objects of `J`.
-/
inductive prequotient
-- There's always `of`
| of : Π (j : J) (x : F.obj j), prequotient
-- Then one generator for each operation
| zero : prequotient
| one : prequotient
| neg : prequotient → prequotient
| add : prequotient → prequotient → prequotient
| mul : prequotient → prequotient → prequotient
instance : inhabited (prequotient F) := ⟨prequotient.zero⟩
open prequotient
/--
The relation on `prequotient` saying when two expressions are equal
because of the commutative ring laws, or
because one element is mapped to another by a morphism in the diagram.
-/
inductive relation : prequotient F → prequotient F → Prop
-- Make it an equivalence relation:
| refl : Π (x), relation x x
| symm : Π (x y) (h : relation x y), relation y x
| trans : Π (x y z) (h : relation x y) (k : relation y z), relation x z
-- There's always a `map` relation
| map : Π (j j' : J) (f : j ⟶ j') (x : F.obj j), relation (of j' (F.map f x)) (of j x)
-- Then one relation per operation, describing the interaction with `of`
| zero : Π (j), relation (of j 0) zero
| one : Π (j), relation (of j 1) one
| neg : Π (j) (x : F.obj j), relation (of j (-x)) (neg (of j x))
| add : Π (j) (x y : F.obj j), relation (of j (x + y)) (add (of j x) (of j y))
| mul : Π (j) (x y : F.obj j), relation (of j (x * y)) (mul (of j x) (of j y))
-- Then one relation per argument of each operation
| neg_1 : Π (x x') (r : relation x x'), relation (neg x) (neg x')
| add_1 : Π (x x' y) (r : relation x x'), relation (add x y) (add x' y)
| add_2 : Π (x y y') (r : relation y y'), relation (add x y) (add x y')
| mul_1 : Π (x x' y) (r : relation x x'), relation (mul x y) (mul x' y)
| mul_2 : Π (x y y') (r : relation y y'), relation (mul x y) (mul x y')
-- And one relation per axiom
| zero_add : Π (x), relation (add zero x) x
| add_zero : Π (x), relation (add x zero) x
| one_mul : Π (x), relation (mul one x) x
| mul_one : Π (x), relation (mul x one) x
| add_left_neg : Π (x), relation (add (neg x) x) zero
| add_comm : Π (x y), relation (add x y) (add y x)
| mul_comm : Π (x y), relation (mul x y) (mul y x)
| add_assoc : Π (x y z), relation (add (add x y) z) (add x (add y z))
| mul_assoc : Π (x y z), relation (mul (mul x y) z) (mul x (mul y z))
| left_distrib : Π (x y z), relation (mul x (add y z)) (add (mul x y) (mul x z))
| right_distrib : Π (x y z), relation (mul (add x y) z) (add (mul x z) (mul y z))
/--
The setoid corresponding to commutative expressions modulo monoid relations and identifications.
-/
def colimit_setoid : setoid (prequotient F) :=
{ r := relation F, iseqv := ⟨relation.refl, relation.symm, relation.trans⟩ }
attribute [instance] colimit_setoid
/--
The underlying type of the colimit of a diagram in `CommRing`.
-/
@[derive inhabited]
def colimit_type : Type v := quotient (colimit_setoid F)
instance : add_group (colimit_type F) :=
{ zero :=
begin
exact quot.mk _ zero
end,
neg :=
begin
fapply @quot.lift,
{ intro x,
exact quot.mk _ (neg x) },
{ intros x x' r,
apply quot.sound,
exact relation.neg_1 _ _ r },
end,
add :=
begin
fapply @quot.lift _ _ ((colimit_type F) → (colimit_type F)),
{ intro x,
fapply @quot.lift,
{ intro y,
exact quot.mk _ (add x y) },
{ intros y y' r,
apply quot.sound,
exact relation.add_2 _ _ _ r } },
{ intros x x' r,
funext y,
induction y,
dsimp,
apply quot.sound,
{ exact relation.add_1 _ _ _ r },
{ refl } },
end,
zero_add := λ x,
begin
induction x,
dsimp,
apply quot.sound,
apply relation.zero_add,
refl,
end,
add_zero := λ x,
begin
induction x,
dsimp,
apply quot.sound,
apply relation.add_zero,
refl,
end,
add_left_neg := λ x,
begin
induction x,
dsimp,
apply quot.sound,
apply relation.add_left_neg,
refl,
end,
add_assoc := λ x y z,
begin
induction x,
induction y,
induction z,
dsimp,
apply quot.sound,
apply relation.add_assoc,
refl,
refl,
refl,
end }
instance : add_group_with_one (colimit_type F) :=
{ one :=
begin
exact quot.mk _ one
end,
.. colimit_type.add_group F }
instance : comm_ring (colimit_type F) :=
{ one :=
begin
exact quot.mk _ one
end,
mul :=
begin
fapply @quot.lift _ _ ((colimit_type F) → (colimit_type F)),
{ intro x,
fapply @quot.lift,
{ intro y,
exact quot.mk _ (mul x y) },
{ intros y y' r,
apply quot.sound,
exact relation.mul_2 _ _ _ r } },
{ intros x x' r,
funext y,
induction y,
dsimp,
apply quot.sound,
{ exact relation.mul_1 _ _ _ r },
{ refl } },
end,
one_mul := λ x,
begin
induction x,
dsimp,
apply quot.sound,
apply relation.one_mul,
refl,
end,
mul_one := λ x,
begin
induction x,
dsimp,
apply quot.sound,
apply relation.mul_one,
refl,
end,
add_comm := λ x y,
begin
induction x,
induction y,
dsimp,
apply quot.sound,
apply relation.add_comm,
refl,
refl,
end,
mul_comm := λ x y,
begin
induction x,
induction y,
dsimp,
apply quot.sound,
apply relation.mul_comm,
refl,
refl,
end,
add_assoc := λ x y z,
begin
induction x,
induction y,
induction z,
dsimp,
apply quot.sound,
apply relation.add_assoc,
refl,
refl,
refl,
end,
mul_assoc := λ x y z,
begin
induction x,
induction y,
induction z,
dsimp,
apply quot.sound,
apply relation.mul_assoc,
refl,
refl,
refl,
end,
left_distrib := λ x y z,
begin
induction x,
induction y,
induction z,
dsimp,
apply quot.sound,
apply relation.left_distrib,
refl,
refl,
refl,
end,
right_distrib := λ x y z,
begin
induction x,
induction y,
induction z,
dsimp,
apply quot.sound,
apply relation.right_distrib,
refl,
refl,
refl,
end,
.. colimit_type.add_group_with_one F }
@[simp] lemma quot_zero : quot.mk setoid.r zero = (0 : colimit_type F) := rfl
@[simp] lemma quot_one : quot.mk setoid.r one = (1 : colimit_type F) := rfl
@[simp] lemma quot_neg (x) :
quot.mk setoid.r (neg x) = (-(quot.mk setoid.r x) : colimit_type F) := rfl
@[simp] lemma quot_add (x y) :
quot.mk setoid.r (add x y) = ((quot.mk setoid.r x) + (quot.mk setoid.r y) : colimit_type F) := rfl
@[simp] lemma quot_mul (x y) :
quot.mk setoid.r (mul x y) = ((quot.mk setoid.r x) * (quot.mk setoid.r y) : colimit_type F) := rfl
/-- The bundled commutative ring giving the colimit of a diagram. -/
def colimit : CommRing := CommRing.of (colimit_type F)
/-- The function from a given commutative ring in the diagram to the colimit commutative ring. -/
def cocone_fun (j : J) (x : F.obj j) : colimit_type F :=
quot.mk _ (of j x)
/-- The ring homomorphism from a given commutative ring in the diagram to the colimit commutative
ring. -/
def cocone_morphism (j : J) : F.obj j ⟶ colimit F :=
{ to_fun := cocone_fun F j,
map_one' := by apply quot.sound; apply relation.one,
map_mul' := by intros; apply quot.sound; apply relation.mul,
map_zero' := by apply quot.sound; apply relation.zero,
map_add' := by intros; apply quot.sound; apply relation.add }
@[simp] lemma cocone_naturality {j j' : J} (f : j ⟶ j') :
F.map f ≫ (cocone_morphism F j') = cocone_morphism F j :=
begin
ext,
apply quot.sound,
apply relation.map,
end
@[simp] lemma cocone_naturality_components (j j' : J) (f : j ⟶ j') (x : F.obj j):
(cocone_morphism F j') (F.map f x) = (cocone_morphism F j) x :=
by { rw ←cocone_naturality F f, refl }
/-- The cocone over the proposed colimit commutative ring. -/
def colimit_cocone : cocone F :=
{ X := colimit F,
ι :=
{ app := cocone_morphism F } }.
/-- The function from the free commutative ring on the diagram to the cone point of any other
cocone. -/
@[simp] def desc_fun_lift (s : cocone F) : prequotient F → s.X
| (of j x) := (s.ι.app j) x
| zero := 0
| one := 1
| (neg x) := -(desc_fun_lift x)
| (add x y) := desc_fun_lift x + desc_fun_lift y
| (mul x y) := desc_fun_lift x * desc_fun_lift y
/-- The function from the colimit commutative ring to the cone point of any other cocone. -/
def desc_fun (s : cocone F) : colimit_type F → s.X :=
begin
fapply quot.lift,
{ exact desc_fun_lift F s },
{ intros x y r,
induction r; try { dsimp },
-- refl
{ refl },
-- symm
{ exact r_ih.symm },
-- trans
{ exact eq.trans r_ih_h r_ih_k },
-- map
{ simp, },
-- zero
{ simp, },
-- one
{ simp, },
-- neg
{ simp, },
-- add
{ simp, },
-- mul
{ simp, },
-- neg_1
{ rw r_ih, },
-- add_1
{ rw r_ih, },
-- add_2
{ rw r_ih, },
-- mul_1
{ rw r_ih, },
-- mul_2
{ rw r_ih, },
-- zero_add
{ rw zero_add, },
-- add_zero
{ rw add_zero, },
-- one_mul
{ rw one_mul, },
-- mul_one
{ rw mul_one, },
-- add_left_neg
{ rw add_left_neg, },
-- add_comm
{ rw add_comm, },
-- mul_comm
{ rw mul_comm, },
-- add_assoc
{ rw add_assoc, },
-- mul_assoc
{ rw mul_assoc, },
-- left_distrib
{ rw left_distrib, },
-- right_distrib
{ rw right_distrib, } }
end
/-- The ring homomorphism from the colimit commutative ring to the cone point of any other
cocone. -/
def desc_morphism (s : cocone F) : colimit F ⟶ s.X :=
{ to_fun := desc_fun F s,
map_one' := rfl,
map_zero' := rfl,
map_add' := λ x y, by { induction x; induction y; refl },
map_mul' := λ x y, by { induction x; induction y; refl }, }
/-- Evidence that the proposed colimit is the colimit. -/
def colimit_is_colimit : is_colimit (colimit_cocone F) :=
{ desc := λ s, desc_morphism F s,
uniq' := λ s m w,
begin
ext,
induction x,
induction x,
{ have w' := congr_fun (congr_arg (λ f : F.obj x_j ⟶ s.X, (f : F.obj x_j → s.X)) (w x_j)) x_x,
erw w',
refl, },
{ simp, },
{ simp, },
{ simp *, },
{ simp *, },
{ simp *, },
refl
end }.
instance has_colimits_CommRing : has_colimits CommRing :=
{ has_colimits_of_shape := λ J 𝒥, by exactI
{ has_colimit := λ F, has_colimit.mk
{ cocone := colimit_cocone F,
is_colimit := colimit_is_colimit F } } }
end CommRing.colimits
|
0284df997bc95af521c5b1844721253472a9c954 | 79cc757e5e5b09c7a522f717a6c490d321d36469 | /src/mywork/mylecture14.lean | 78c846a20ec7cb9c93b3fad0692f8260281fe324 | [] | no_license | LukeMathe/cs2120f21 | 534c3b8868dcfdea98a9d22513180c8a062794c6 | d51940b174569a8782e62ae027b108b5f099a9aa | refs/heads/main | 1,693,418,664,935 | 1,634,585,653,000 | 1,634,585,653,000 | 403,762,076 | 0 | 0 | null | 1,630,963,485,000 | 1,630,963,485,000 | null | UTF-8 | Lean | false | false | 526 | lean | axioms
(Person: Type)
(Likes : Person → Person → Prop)
example :
¬ (∀ p : Person, Likes p p) ↔
∃ p : Person, ¬ Likes p p :=
begin
apply iff.intro _ _,
assume h,
have f := classical.em (∃ p : Person, ¬ Likes p p),
cases f,
apply f,
have contra : ∀ (p : Person), Likes p p := _,
contradiction,
assume p,
have g := classical.em (Likes p p),
cases g,
assumption,
have a : ∃ (p : Person), ¬ Likes p p := exists.intro p g,
contradiction,
end
|
29ae16a998303fdb17e411c057f7326ce7603089 | d406927ab5617694ec9ea7001f101b7c9e3d9702 | /src/group_theory/group_action/basic.lean | d3e5fd0d59cb61b7b0cc697a0b57e9e3d00948cb | [
"Apache-2.0"
] | permissive | alreadydone/mathlib | dc0be621c6c8208c581f5170a8216c5ba6721927 | c982179ec21091d3e102d8a5d9f5fe06c8fafb73 | refs/heads/master | 1,685,523,275,196 | 1,670,184,141,000 | 1,670,184,141,000 | 287,574,545 | 0 | 0 | Apache-2.0 | 1,670,290,714,000 | 1,597,421,623,000 | Lean | UTF-8 | Lean | false | false | 14,135 | lean | /-
Copyright (c) 2018 Chris Hughes. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Chris Hughes
-/
import group_theory.group_action.defs
import group_theory.group_action.group
import data.setoid.basic
import data.set.pointwise.smul
import group_theory.subgroup.basic
/-!
# Basic properties of group actions
This file primarily concerns itself with orbits, stabilizers, and other objects defined in terms of
actions. Despite this file being called `basic`, low-level helper lemmas for algebraic manipulation
of `•` belong elsewhere.
## Main definitions
* `mul_action.orbit`
* `mul_action.fixed_points`
* `mul_action.fixed_by`
* `mul_action.stabilizer`
-/
universes u v w
variables {α : Type u} {β : Type v} {γ : Type w}
open_locale big_operators pointwise
open function
namespace mul_action
variables (α) [monoid α] [mul_action α β]
/-- The orbit of an element under an action. -/
@[to_additive "The orbit of an element under an action."]
def orbit (b : β) := set.range (λ x : α, x • b)
variable {α}
@[to_additive] lemma mem_orbit_iff {b₁ b₂ : β} : b₂ ∈ orbit α b₁ ↔ ∃ x : α, x • b₁ = b₂ :=
iff.rfl
@[simp, to_additive] lemma mem_orbit (b : β) (x : α) : x • b ∈ orbit α b :=
⟨x, rfl⟩
@[simp, to_additive] lemma mem_orbit_self (b : β) : b ∈ orbit α b :=
⟨1, by simp [mul_action.one_smul]⟩
@[to_additive] lemma orbit_nonempty (b : β) : set.nonempty (orbit α b) := set.range_nonempty _
@[to_additive] lemma maps_to_smul_orbit (a : α) (b : β) :
set.maps_to ((•) a) (orbit α b) (orbit α b) :=
set.range_subset_iff.2 $ λ a', ⟨a * a', mul_smul _ _ _⟩
@[to_additive] lemma smul_orbit_subset (a : α) (b : β) : a • orbit α b ⊆ orbit α b :=
(maps_to_smul_orbit a b).image_subset
@[to_additive] lemma orbit_smul_subset (a : α) (b : β) : orbit α (a • b) ⊆ orbit α b :=
set.range_subset_iff.2 $ λ a', mul_smul a' a b ▸ mem_orbit _ _
@[to_additive] instance {b : β} : mul_action α (orbit α b) :=
{ smul := λ a, (maps_to_smul_orbit a b).restrict _ _ _,
one_smul := λ a, subtype.ext (one_smul α a),
mul_smul := λ a a' b', subtype.ext (mul_smul a a' b') }
@[simp, to_additive] lemma orbit.coe_smul {b : β} {a : α} {b' : orbit α b} :
↑(a • b') = a • (b' : β) :=
rfl
variables (α) (β)
/-- The set of elements fixed under the whole action. -/
@[to_additive "The set of elements fixed under the whole action."]
def fixed_points : set β := {b : β | ∀ x : α, x • b = b}
/-- `fixed_by g` is the subfield of elements fixed by `g`. -/
@[to_additive "`fixed_by g` is the subfield of elements fixed by `g`."]
def fixed_by (g : α) : set β :=
{ x | g • x = x }
@[to_additive] theorem fixed_eq_Inter_fixed_by : fixed_points α β = ⋂ g : α, fixed_by α β g :=
set.ext $ λ x, ⟨λ hx, set.mem_Inter.2 $ λ g, hx g, λ hx g, by exact (set.mem_Inter.1 hx g : _)⟩
variables {α} (β)
@[simp, to_additive] lemma mem_fixed_points {b : β} :
b ∈ fixed_points α β ↔ ∀ x : α, x • b = b := iff.rfl
@[simp, to_additive] lemma mem_fixed_by {g : α} {b : β} :
b ∈ fixed_by α β g ↔ g • b = b := iff.rfl
@[to_additive] lemma mem_fixed_points' {b : β} : b ∈ fixed_points α β ↔
(∀ b', b' ∈ orbit α b → b' = b) :=
⟨λ h b h₁, let ⟨x, hx⟩ := mem_orbit_iff.1 h₁ in hx ▸ h x,
λ h b, h _ (mem_orbit _ _)⟩
variables (α) {β}
/-- The stabilizer of a point `b` as a submonoid of `α`. -/
@[to_additive "The stabilizer of a point `b` as an additive submonoid of `α`."]
def stabilizer.submonoid (b : β) : submonoid α :=
{ carrier := { a | a • b = b },
one_mem' := one_smul _ b,
mul_mem' := λ a a' (ha : a • b = b) (hb : a' • b = b),
show (a * a') • b = b, by rw [←smul_smul, hb, ha] }
@[simp, to_additive] lemma mem_stabilizer_submonoid_iff {b : β} {a : α} :
a ∈ stabilizer.submonoid α b ↔ a • b = b := iff.rfl
@[to_additive] lemma orbit_eq_univ [is_pretransitive α β] (x : β) :
orbit α x = set.univ :=
(surjective_smul α x).range_eq
variables {α} {β}
@[to_additive] lemma mem_fixed_points_iff_card_orbit_eq_one {a : β}
[fintype (orbit α a)] : a ∈ fixed_points α β ↔ fintype.card (orbit α a) = 1 :=
begin
rw [fintype.card_eq_one_iff, mem_fixed_points],
split,
{ exact λ h, ⟨⟨a, mem_orbit_self _⟩, λ ⟨b, ⟨x, hx⟩⟩, subtype.eq $ by simp [h x, hx.symm]⟩ },
{ assume h x,
rcases h with ⟨⟨z, hz⟩, hz₁⟩,
calc x • a = z : subtype.mk.inj (hz₁ ⟨x • a, mem_orbit _ _⟩)
... = a : (subtype.mk.inj (hz₁ ⟨a, mem_orbit_self _⟩)).symm }
end
end mul_action
namespace mul_action
variable (α)
variables [group α] [mul_action α β]
/-- The stabilizer of an element under an action, i.e. what sends the element to itself.
A subgroup. -/
@[to_additive "The stabilizer of an element under an action, i.e. what sends the element to itself.
An additive subgroup."]
def stabilizer (b : β) : subgroup α :=
{ inv_mem' := λ a (ha : a • b = b), show a⁻¹ • b = b, by rw [inv_smul_eq_iff, ha]
..stabilizer.submonoid α b }
variables {α} {β}
@[simp, to_additive] lemma mem_stabilizer_iff {b : β} {a : α} :
a ∈ stabilizer α b ↔ a • b = b := iff.rfl
@[simp, to_additive] lemma smul_orbit (a : α) (b : β) :
a • orbit α b = orbit α b :=
(smul_orbit_subset a b).antisymm $
calc orbit α b = a • a⁻¹ • orbit α b : (smul_inv_smul _ _).symm
... ⊆ a • orbit α b : set.image_subset _ (smul_orbit_subset _ _)
@[simp, to_additive] lemma orbit_smul (a : α) (b : β) : orbit α (a • b) = orbit α b :=
(orbit_smul_subset a b).antisymm $
calc orbit α b = orbit α (a⁻¹ • a • b) : by rw inv_smul_smul
... ⊆ orbit α (a • b) : orbit_smul_subset _ _
/-- The action of a group on an orbit is transitive. -/
@[to_additive "The action of an additive group on an orbit is transitive."]
instance (x : β) : is_pretransitive α (orbit α x) :=
⟨by { rintro ⟨_, a, rfl⟩ ⟨_, b, rfl⟩, use b * a⁻¹, ext1, simp [mul_smul] }⟩
@[to_additive] lemma orbit_eq_iff {a b : β} :
orbit α a = orbit α b ↔ a ∈ orbit α b:=
⟨λ h, h ▸ mem_orbit_self _, λ ⟨c, hc⟩, hc ▸ orbit_smul _ _⟩
variables (α) {β}
@[to_additive] lemma mem_orbit_smul (g : α) (a : β) : a ∈ orbit α (g • a) :=
by simp only [orbit_smul, mem_orbit_self]
@[to_additive] lemma smul_mem_orbit_smul (g h : α) (a : β) : g • a ∈ orbit α (h • a) :=
by simp only [orbit_smul, mem_orbit]
variables (α) (β)
/-- The relation 'in the same orbit'. -/
@[to_additive "The relation 'in the same orbit'."]
def orbit_rel : setoid β :=
{ r := λ a b, a ∈ orbit α b,
iseqv := ⟨mem_orbit_self, λ a b, by simp [orbit_eq_iff.symm, eq_comm],
λ a b, by simp [orbit_eq_iff.symm, eq_comm] {contextual := tt}⟩ }
local attribute [instance] orbit_rel
variables {α} {β}
/-- When you take a set `U` in `β`, push it down to the quotient, and pull back, you get the union
of the orbit of `U` under `α`. -/
@[to_additive "When you take a set `U` in `β`, push it down to the quotient, and pull back, you get
the union of the orbit of `U` under `α`."] lemma quotient_preimage_image_eq_union_mul (U : set β) :
quotient.mk ⁻¹' (quotient.mk '' U) = ⋃ a : α, ((•) a) '' U :=
begin
set f : β → quotient (mul_action.orbit_rel α β) := quotient.mk,
ext,
split,
{ rintros ⟨y , hy, hxy⟩,
obtain ⟨a, rfl⟩ := quotient.exact hxy,
rw set.mem_Union,
exact ⟨a⁻¹, a • x, hy, inv_smul_smul a x⟩ },
{ intros hx,
rw set.mem_Union at hx,
obtain ⟨a, u, hu₁, hu₂⟩ := hx,
rw [set.mem_preimage, set.mem_image_iff_bex],
refine ⟨a⁻¹ • x, _, by simp only [quotient.eq]; use a⁻¹⟩,
rw ← hu₂,
convert hu₁,
simp only [inv_smul_smul], },
end
@[to_additive] lemma disjoint_image_image_iff {U V : set β} :
disjoint (quotient.mk '' U) (quotient.mk '' V) ↔ ∀ x ∈ U, ∀ a : α, a • x ∉ V :=
begin
set f : β → quotient (mul_action.orbit_rel α β) := quotient.mk,
refine ⟨λ h x x_in_U a a_in_V,
h.le_bot ⟨⟨x, x_in_U, quotient.sound ⟨a⁻¹, _⟩⟩, ⟨a • x, a_in_V, rfl⟩⟩, _⟩,
{ simp },
{ intro h,
rw set.disjoint_left,
rintro x ⟨y, hy₁, hy₂⟩ ⟨z, hz₁, hz₂⟩,
obtain ⟨a, rfl⟩ := quotient.exact (hz₂.trans hy₂.symm),
exact h y hy₁ a hz₁ }
end
@[to_additive]
lemma image_inter_image_iff (U V : set β) :
(quotient.mk '' U) ∩ (quotient.mk '' V) = ∅ ↔ ∀ x ∈ U, ∀ a : α, a • x ∉ V :=
set.disjoint_iff_inter_eq_empty.symm.trans disjoint_image_image_iff
variables (α β)
/-- The quotient by `mul_action.orbit_rel`, given a name to enable dot notation. -/
@[reducible, to_additive "The quotient by `add_action.orbit_rel`, given a name to enable dot
notation."]
def orbit_rel.quotient : Type* := quotient $ orbit_rel α β
variables {α β}
/-- The orbit corresponding to an element of the quotient by `mul_action.orbit_rel` -/
@[to_additive "The orbit corresponding to an element of the quotient by `add_action.orbit_rel`"]
def orbit_rel.quotient.orbit (x : orbit_rel.quotient α β) : set β :=
quotient.lift_on' x (orbit α) $ λ _ _, mul_action.orbit_eq_iff.2
@[simp, to_additive]
lemma orbit_rel.quotient.orbit_mk (b : β) :
orbit_rel.quotient.orbit (quotient.mk' b : orbit_rel.quotient α β) = orbit α b := rfl
@[to_additive]
lemma orbit_rel.quotient.mem_orbit {b : β} {x : orbit_rel.quotient α β} :
b ∈ x.orbit ↔ quotient.mk' b = x :=
by { induction x using quotient.induction_on', rw quotient.eq', refl }
/-- Note that `hφ = quotient.out_eq'` is a useful choice here. -/
@[to_additive "Note that `hφ = quotient.out_eq'` is a useful choice here."]
lemma orbit_rel.quotient.orbit_eq_orbit_out (x : orbit_rel.quotient α β)
{φ : orbit_rel.quotient α β → β} (hφ : right_inverse φ quotient.mk') :
orbit_rel.quotient.orbit x = orbit α (φ x) :=
begin
conv_lhs { rw ←hφ x },
induction x using quotient.induction_on',
refl,
end
variables (α) (β)
local notation `Ω` := orbit_rel.quotient α β
/-- Decomposition of a type `X` as a disjoint union of its orbits under a group action.
This version is expressed in terms of `mul_action.orbit_rel.quotient.orbit` instead of
`mul_action.orbit`, to avoid mentioning `quotient.out'`. -/
@[to_additive "Decomposition of a type `X` as a disjoint union of its orbits under an additive group
action.
This version is expressed in terms of `add_action.orbit_rel.quotient.orbit` instead of
`add_action.orbit`, to avoid mentioning `quotient.out'`. "]
def self_equiv_sigma_orbits' : β ≃ Σ ω : Ω, ω.orbit :=
calc β
≃ Σ (ω : Ω), {b // quotient.mk' b = ω} : (equiv.sigma_fiber_equiv quotient.mk').symm
... ≃ Σ (ω : Ω), ω.orbit :
equiv.sigma_congr_right $ λ ω, equiv.subtype_equiv_right $ λ x,
orbit_rel.quotient.mem_orbit.symm
/-- Decomposition of a type `X` as a disjoint union of its orbits under a group action. -/
@[to_additive "Decomposition of a type `X` as a disjoint union of its orbits under an additive group
action."]
def self_equiv_sigma_orbits : β ≃ Σ (ω : Ω), orbit α ω.out' :=
(self_equiv_sigma_orbits' α β).trans $ equiv.sigma_congr_right $ λ i,
equiv.set.of_eq $ orbit_rel.quotient.orbit_eq_orbit_out _ quotient.out_eq'
variables {α β}
/-- If the stabilizer of `x` is `S`, then the stabilizer of `g • x` is `gSg⁻¹`. -/
lemma stabilizer_smul_eq_stabilizer_map_conj (g : α) (x : β) :
(stabilizer α (g • x) = (stabilizer α x).map (mul_aut.conj g).to_monoid_hom) :=
begin
ext h,
rw [mem_stabilizer_iff, ← smul_left_cancel_iff g⁻¹, smul_smul, smul_smul, smul_smul, mul_left_inv,
one_smul, ← mem_stabilizer_iff, subgroup.mem_map_equiv, mul_aut.conj_symm_apply]
end
/-- A bijection between the stabilizers of two elements in the same orbit. -/
noncomputable def stabilizer_equiv_stabilizer_of_orbit_rel {x y : β} (h : (orbit_rel α β).rel x y) :
stabilizer α x ≃* stabilizer α y :=
let g : α := classical.some h in
have hg : g • y = x := classical.some_spec h,
have this : stabilizer α x = (stabilizer α y).map (mul_aut.conj g).to_monoid_hom,
by rw [← hg, stabilizer_smul_eq_stabilizer_map_conj],
(mul_equiv.subgroup_congr this).trans ((mul_aut.conj g).subgroup_map $ stabilizer α y).symm
end mul_action
namespace add_action
variables [add_group α] [add_action α β]
/-- If the stabilizer of `x` is `S`, then the stabilizer of `g +ᵥ x` is `g + S + (-g)`. -/
lemma stabilizer_vadd_eq_stabilizer_map_conj (g : α) (x : β) :
(stabilizer α (g +ᵥ x) = (stabilizer α x).map (add_aut.conj g).to_add_monoid_hom) :=
begin
ext h,
rw [mem_stabilizer_iff, ← vadd_left_cancel_iff (-g) , vadd_vadd, vadd_vadd, vadd_vadd,
add_left_neg, zero_vadd, ← mem_stabilizer_iff, add_subgroup.mem_map_equiv,
add_aut.conj_symm_apply]
end
/-- A bijection between the stabilizers of two elements in the same orbit. -/
noncomputable def stabilizer_equiv_stabilizer_of_orbit_rel {x y : β}
(h : (orbit_rel α β).rel x y) :
stabilizer α x ≃+ stabilizer α y :=
let g : α := classical.some h in
have hg : g +ᵥ y = x := classical.some_spec h,
have this : stabilizer α x = (stabilizer α y).map (add_aut.conj g).to_add_monoid_hom,
by rw [← hg, stabilizer_vadd_eq_stabilizer_map_conj],
(add_equiv.add_subgroup_congr this).trans
((add_aut.conj g).add_subgroup_map $ stabilizer α y).symm
end add_action
/-- `smul` by a `k : M` over a ring is injective, if `k` is not a zero divisor.
The general theory of such `k` is elaborated by `is_smul_regular`.
The typeclass that restricts all terms of `M` to have this property is `no_zero_smul_divisors`. -/
lemma smul_cancel_of_non_zero_divisor {M R : Type*}
[monoid M] [non_unital_non_assoc_ring R] [distrib_mul_action M R]
(k : M) (h : ∀ (x : R), k • x = 0 → x = 0) {a b : R} (h' : k • a = k • b) :
a = b :=
begin
rw ←sub_eq_zero,
refine h _ _,
rw [smul_sub, h', sub_self]
end
|
bda350c1cb51306577879b59c1dc0b568f93a0b4 | 624f6f2ae8b3b1adc5f8f67a365c51d5126be45a | /tests/elabissues/equation_compiler_slow_with_many_constructors2.lean | 1eb191aa35c6e9090e8751b6f0c0d5bcd8b21bb5 | [
"Apache-2.0"
] | permissive | mhuisi/lean4 | 28d35a4febc2e251c7f05492e13f3b05d6f9b7af | dda44bc47f3e5d024508060dac2bcb59fd12e4c0 | refs/heads/master | 1,621,225,489,283 | 1,585,142,689,000 | 1,585,142,689,000 | 250,590,438 | 0 | 2 | Apache-2.0 | 1,602,443,220,000 | 1,585,327,814,000 | C | UTF-8 | Lean | false | false | 5,547 | lean | /-
Same setup as in 'equation_compiler_slow_with_many_constructors.lean',
except here we have a function `infer` that takes a single `Proof` object
and that matches on all constructors, each applied only to variables.
Despite the favorable matching regime, the function `infer` still takes ~200ms
to elaborate.
-/
namespace ECSlow
inductive Op : Type
| add, mul
namespace Op
def hasToString : Op → String
| add => "add"
| mul => "mul"
instance : HasToString Op := ⟨hasToString⟩
def beq : Op → Op → Bool
| add, add => true
| mul, mul => true
| _, _ => false
instance : HasBeq Op := ⟨beq⟩
end Op
open Op
inductive Term : Type
| ofInt : Int → Term
| var : Nat → Term
| varPow : Nat → Nat → Term
| app : Op → Term → Term → Term
namespace Term
def beq : Term → Term → Bool
| ofInt n₁, ofInt n₂ => n₁ == n₂
| var v₁, var v₂ => v₁ == v₂
| varPow v₁ k₁, varPow v₂ k₂ => v₁ == v₂ && k₁ == k₂
| app op₁ x₁ y₁, app op₂ x₂ y₂ => op₁ == op₂ && beq x₁ x₂ && beq y₁ y₂
| _, _ => false
instance : HasBeq Term := ⟨beq⟩
instance : HasZero Term := ⟨ofInt 0⟩
instance : HasOne Term := ⟨ofInt 1⟩
instance : HasAdd Term := ⟨app add⟩
instance : HasMul Term := ⟨app mul⟩
instance : HasNeg Term := ⟨app mul (ofInt (-1))⟩
instance : HasSub Term := ⟨λ x y => app add x (- y)⟩
end Term
open Term
inductive Proof : Type
| addZero : Term → Proof
| zeroAdd : Term → Proof
| addComm : Term → Term → Proof
| addCommL : Term → Term → Term → Proof
| addAssoc : Term → Term → Term → Proof
| mulZero : Term → Proof
| zeroMul : Term → Proof
| mulOne : Term → Proof
| oneMul : Term → Proof
| mulComm : Term → Term → Proof
| mulCommL : Term → Term → Term → Proof
| mulAssoc : Term → Term → Term → Proof
| distribL : Term → Term → Term → Proof
| distribR : Term → Term → Term → Proof
| ofIntAdd : Int → Int → Proof
| ofIntMul : Int → Int → Proof
| powZero : Nat → Proof
| powOne : Nat → Proof
| powMerge : Nat → Nat → Nat → Proof
| powMergeL : Nat → Nat → Nat → Term → Proof
| congrArg₁ : Op → Proof → Term → Proof
| congrArg₂ : Op → Term → Proof → Proof
| congrArgs : Op → Proof → Proof → Proof
| refl : Term → Proof
| trans : Proof → Proof → Proof
namespace Proof
/-
[Leo] elaboration time is now at 50ms on my machine.
The problem was not the equation compiler, but time wasted trying
to synthesize `[MonadFail Except]`.
We used to have the instances
```
instance monadFailLift (m n : Type u → Type v) [HasMonadLift m n] [MonadFail m] [Monad n] : MonadFail n :=
{ fail := fun α s => monadLift (MonadFail.fail s : m α) }
instance I1 (m : Type → Type) [Monad m] : MonadFail (ExceptT String m)
```
The instance `monadFailLift` triggers the performance problem when trying to solve `[MonadFail (Except String)]`.
It produces the subgoals
```
[MonadFail ?m]
[HasMonadLift ?m (Except String)]
```
Then we try to solve `[MonadFail ?m]` using `I1` we can produces an infinite number of solutions.
The first solution is `?m := ExceptT String (EIO ?ε)` where `EIO ?ε` is the first Monad Lean managed to synthesize when solving I1.
Then it uses the instance
```lean
instance (m : Type → Type) [Monad m] : Monad (OptionT m) :=
```
to generate the solutions
```
?m := ExceptT String (OptionT (EIO ?ε))
?m := ExceptT String (OptionT $ OptionT (EIO ?ε))
?m := ExceptT String (OptionT $ OptionT $ OptionT (EIO ?ε))
...
```
Note that the new type class resolution procedure would not solve this problem. If we wanted to keep this feature, the solution would be to write
```
instance monadFailLift (m n : Type u → Type v) [HasMonadLift m n] [MonadFail m] [Monad n] : MonadFail n :=
```
as
```
instance monadFailLift (m n : Type u → Type v) [MonadFail m] [HasMonadLift m n] [Monad n] : MonadFail n :=
```
The subgoal `[HasMonadLift ?m (Except String)]` would fail instantaneously.
-/
def infer : Proof → Except String (Term × Term)
| addZero x => pure (x+0, x)
| zeroAdd y => pure (0 + y, y)
| addComm x y => pure (x + y, y + x)
| addCommL x y z => pure (x + (y + z), y + (x + z))
| addAssoc x y z => pure ((x + y) + z, x + (y + z))
| mulZero x => pure (x * 0, 0)
| zeroMul y => pure (0 * y, 0)
| mulOne x => pure (x * 1, x)
| oneMul y => pure (1 * y, y)
| mulComm x y => pure (x * y, y * x)
| mulCommL x y z => pure (x * (y * z), y * (x * z))
| mulAssoc x y z => pure ((x * y) * z, x * (y * z))
| distribL x y z => pure (x * (y + z), x * y + x * z)
| distribR x y z => pure ((x + y) * z, x * z + y * z)
| ofIntAdd m n => pure (ofInt m + ofInt n, ofInt $ m + n)
| ofIntMul m n => pure (ofInt m * ofInt n, ofInt $ m * n)
| powZero v => pure (varPow v 0, 1)
| powOne v => pure (var v, varPow v 1)
| powMerge v m n => pure (varPow v m * varPow v n, varPow v (m+n))
| powMergeL v m n t => pure (varPow v m * (varPow v n * t), varPow v (m+n) * t)
| congrArg₁ op px y => do (x₁, x₂) ← infer px; pure (app op x₁ y, app op x₂ y)
| congrArg₂ op x py => do (y₁, y₂) ← infer py; pure (app op x y₁, app op x y₂)
| congrArgs op px py => do (x₁, x₂) ← infer px; (y₁, y₂) ← infer py; pure (app op x₁ y₁, app op x₂ y₂)
| refl t => pure (t, t)
| trans p₁ p₂ => do
(x, y₁) ← infer p₁;
(y₂, z) ← infer p₂;
if y₁ == y₂ then pure (x, z) else throw "invalid proof"
end Proof
end ECSlow
|
939f5e0c1cbabb553db57666a4a0e194ab4a7478 | f3849be5d845a1cb97680f0bbbe03b85518312f0 | /tests/lean/run/section4.lean | 8151d0222453ce6bc5b30847f288ee015ac26640 | [
"Apache-2.0"
] | permissive | bjoeris/lean | 0ed95125d762b17bfcb54dad1f9721f953f92eeb | 4e496b78d5e73545fa4f9a807155113d8e6b0561 | refs/heads/master | 1,611,251,218,281 | 1,495,337,658,000 | 1,495,337,658,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 639 | lean | set_option pp.universes true
set_option pp.implicit true
section
universe k
parameter A : Type
section
universe variable l
universe variable u
parameter B : Type
definition foo (a : A) (b : B) := b
inductive mypair
| mk : A → B → mypair
#print mypair.rec
#check mypair.mk
definition pr1' : mypair → A
| (mypair.mk a b) := a
definition pr2' : mypair → B
| (mypair.mk a b) := b
end
#check mypair.rec
variable a : A
#check foo num a 0
definition pr1 : mypair num → A
| (mypair.mk a b) := a
definition pr2 : mypair num → num
| (mypair.mk a b) := b
end
|
b1b44f3168c2d94ccca11f3c37fbc21dd6bbfe03 | 8cae430f0a71442d02dbb1cbb14073b31048e4b0 | /src/category_theory/limits/shapes/kernels.lean | 862a36f2f68cf3a7f464579513ef7f6b292d3079 | [
"Apache-2.0"
] | permissive | leanprover-community/mathlib | 56a2cadd17ac88caf4ece0a775932fa26327ba0e | 442a83d738cb208d3600056c489be16900ba701d | refs/heads/master | 1,693,584,102,358 | 1,693,471,902,000 | 1,693,471,902,000 | 97,922,418 | 1,595 | 352 | Apache-2.0 | 1,694,693,445,000 | 1,500,624,130,000 | Lean | UTF-8 | Lean | false | false | 38,817 | lean | /-
Copyright (c) 2019 Scott Morrison. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Scott Morrison, Markus Himmel
-/
import category_theory.limits.preserves.shapes.zero
/-!
# Kernels and cokernels
> THIS FILE IS SYNCHRONIZED WITH MATHLIB4.
> Any changes to this file require a corresponding PR to mathlib4.
In a category with zero morphisms, the kernel of a morphism `f : X ⟶ Y` is
the equalizer of `f` and `0 : X ⟶ Y`. (Similarly the cokernel is the coequalizer.)
The basic definitions are
* `kernel : (X ⟶ Y) → C`
* `kernel.ι : kernel f ⟶ X`
* `kernel.condition : kernel.ι f ≫ f = 0` and
* `kernel.lift (k : W ⟶ X) (h : k ≫ f = 0) : W ⟶ kernel f` (as well as the dual versions)
## Main statements
Besides the definition and lifts, we prove
* `kernel.ι_zero_is_iso`: a kernel map of a zero morphism is an isomorphism
* `kernel.eq_zero_of_epi_kernel`: if `kernel.ι f` is an epimorphism, then `f = 0`
* `kernel.of_mono`: the kernel of a monomorphism is the zero object
* `kernel.lift_mono`: the lift of a monomorphism `k : W ⟶ X` such that `k ≫ f = 0`
is still a monomorphism
* `kernel.is_limit_cone_zero_cone`: if our category has a zero object, then the map from the zero
obect is a kernel map of any monomorphism
* `kernel.ι_of_zero`: `kernel.ι (0 : X ⟶ Y)` is an isomorphism
and the corresponding dual statements.
## Future work
* TODO: connect this with existing working in the group theory and ring theory libraries.
## Implementation notes
As with the other special shapes in the limits library, all the definitions here are given as
`abbreviation`s of the general statements for limits, so all the `simp` lemmas and theorems about
general limits can be used.
## References
* [F. Borceux, *Handbook of Categorical Algebra 2*][borceux-vol2]
-/
noncomputable theory
universes v v₂ u u' u₂
open category_theory
open category_theory.limits.walking_parallel_pair
namespace category_theory.limits
variables {C : Type u} [category.{v} C]
variables [has_zero_morphisms C]
/-- A morphism `f` has a kernel if the functor `parallel_pair f 0` has a limit. -/
abbreviation has_kernel {X Y : C} (f : X ⟶ Y) : Prop := has_limit (parallel_pair f 0)
/-- A morphism `f` has a cokernel if the functor `parallel_pair f 0` has a colimit. -/
abbreviation has_cokernel {X Y : C} (f : X ⟶ Y) : Prop := has_colimit (parallel_pair f 0)
variables {X Y : C} (f : X ⟶ Y)
section
/-- A kernel fork is just a fork where the second morphism is a zero morphism. -/
abbreviation kernel_fork := fork f 0
variables {f}
@[simp, reassoc] lemma kernel_fork.condition (s : kernel_fork f) : fork.ι s ≫ f = 0 :=
by erw [fork.condition, has_zero_morphisms.comp_zero]
@[simp] lemma kernel_fork.app_one (s : kernel_fork f) : s.π.app one = 0 :=
by simp [fork.app_one_eq_ι_comp_right]
/-- A morphism `ι` satisfying `ι ≫ f = 0` determines a kernel fork over `f`. -/
abbreviation kernel_fork.of_ι {Z : C} (ι : Z ⟶ X) (w : ι ≫ f = 0) : kernel_fork f :=
fork.of_ι ι $ by rw [w, has_zero_morphisms.comp_zero]
@[simp] lemma kernel_fork.ι_of_ι {X Y P : C} (f : X ⟶ Y) (ι : P ⟶ X) (w : ι ≫ f = 0) :
fork.ι (kernel_fork.of_ι ι w) = ι := rfl
section
local attribute [tidy] tactic.case_bash
/-- Every kernel fork `s` is isomorphic (actually, equal) to `fork.of_ι (fork.ι s) _`. -/
def iso_of_ι (s : fork f 0) : s ≅ fork.of_ι (fork.ι s) (fork.condition s) :=
cones.ext (iso.refl _) $ by tidy
/-- If `ι = ι'`, then `fork.of_ι ι _` and `fork.of_ι ι' _` are isomorphic. -/
def of_ι_congr {P : C} {ι ι' : P ⟶ X} {w : ι ≫ f = 0} (h : ι = ι') :
kernel_fork.of_ι ι w ≅ kernel_fork.of_ι ι' (by rw [←h, w]) :=
cones.ext (iso.refl _) $ by tidy
/-- If `F` is an equivalence, then applying `F` to a diagram indexing a (co)kernel of `f` yields
the diagram indexing the (co)kernel of `F.map f`. -/
def comp_nat_iso {D : Type u'} [category.{v} D] [has_zero_morphisms D] (F : C ⥤ D)
[is_equivalence F] : parallel_pair f 0 ⋙ F ≅ parallel_pair (F.map f) 0 :=
nat_iso.of_components (λ j, match j with
| zero := iso.refl _
| one := iso.refl _
end) $ by tidy
end
/-- If `s` is a limit kernel fork and `k : W ⟶ X` satisfies ``k ≫ f = 0`, then there is some
`l : W ⟶ s.X` such that `l ≫ fork.ι s = k`. -/
def kernel_fork.is_limit.lift' {s : kernel_fork f} (hs : is_limit s) {W : C} (k : W ⟶ X)
(h : k ≫ f = 0) : {l : W ⟶ s.X // l ≫ fork.ι s = k} :=
⟨hs.lift $ kernel_fork.of_ι _ h, hs.fac _ _⟩
/-- This is a slightly more convenient method to verify that a kernel fork is a limit cone. It
only asks for a proof of facts that carry any mathematical content -/
def is_limit_aux (t : kernel_fork f)
(lift : Π (s : kernel_fork f), s.X ⟶ t.X)
(fac : ∀ (s : kernel_fork f), lift s ≫ t.ι = s.ι)
(uniq : ∀ (s : kernel_fork f) (m : s.X ⟶ t.X) (w : m ≫ t.ι = s.ι), m = lift s) :
is_limit t :=
{ lift := lift,
fac' := λ s j, by { cases j, { exact fac s, }, { simp, }, },
uniq' := λ s m w, uniq s m (w limits.walking_parallel_pair.zero), }
/--
This is a more convenient formulation to show that a `kernel_fork` constructed using
`kernel_fork.of_ι` is a limit cone.
-/
def kernel_fork.is_limit.of_ι {W : C} (g : W ⟶ X) (eq : g ≫ f = 0)
(lift : Π {W' : C} (g' : W' ⟶ X) (eq' : g' ≫ f = 0), W' ⟶ W)
(fac : ∀ {W' : C} (g' : W' ⟶ X) (eq' : g' ≫ f = 0), lift g' eq' ≫ g = g')
(uniq :
∀ {W' : C} (g' : W' ⟶ X) (eq' : g' ≫ f = 0) (m : W' ⟶ W) (w : m ≫ g = g'), m = lift g' eq') :
is_limit (kernel_fork.of_ι g eq) :=
is_limit_aux _ (λ s, lift s.ι s.condition) (λ s, fac s.ι s.condition) (λ s, uniq s.ι s.condition)
/-- Every kernel of `f` induces a kernel of `f ≫ g` if `g` is mono. -/
def is_kernel_comp_mono {c : kernel_fork f} (i : is_limit c) {Z} (g : Y ⟶ Z) [hg : mono g]
{h : X ⟶ Z} (hh : h = f ≫ g) :
is_limit (kernel_fork.of_ι c.ι (by simp [hh]) : kernel_fork h) :=
fork.is_limit.mk' _ $ λ s,
let s' : kernel_fork f := fork.of_ι s.ι (by rw [←cancel_mono g]; simp [←hh, s.condition]) in
let l := kernel_fork.is_limit.lift' i s'.ι s'.condition in
⟨l.1, l.2, λ m hm, by apply fork.is_limit.hom_ext i; rw fork.ι_of_ι at hm; rw hm; exact l.2.symm⟩
lemma is_kernel_comp_mono_lift {c : kernel_fork f} (i : is_limit c) {Z} (g : Y ⟶ Z) [hg : mono g]
{h : X ⟶ Z} (hh : h = f ≫ g) (s : kernel_fork h) :
(is_kernel_comp_mono i g hh).lift s
= i.lift (fork.of_ι s.ι (by { rw [←cancel_mono g, category.assoc, ←hh], simp })) := rfl
/-- Every kernel of `f ≫ g` is also a kernel of `f`, as long as `c.ι ≫ f` vanishes. -/
def is_kernel_of_comp {W : C} (g : Y ⟶ W) (h : X ⟶ W) {c : kernel_fork h} (i : is_limit c)
(hf : c.ι ≫ f = 0) (hfg : f ≫ g = h) : is_limit (kernel_fork.of_ι c.ι hf) :=
fork.is_limit.mk _
(λ s, i.lift (kernel_fork.of_ι s.ι (by simp [← hfg])))
(λ s, by simp only [kernel_fork.ι_of_ι, fork.is_limit.lift_ι])
(λ s m h, by { apply fork.is_limit.hom_ext i, simpa using h })
end
section
variables [has_kernel f]
/-- The kernel of a morphism, expressed as the equalizer with the 0 morphism. -/
abbreviation kernel : C := equalizer f 0
/-- The map from `kernel f` into the source of `f`. -/
abbreviation kernel.ι : kernel f ⟶ X := equalizer.ι f 0
@[simp] lemma equalizer_as_kernel : equalizer.ι f 0 = kernel.ι f := rfl
@[simp, reassoc] lemma kernel.condition : kernel.ι f ≫ f = 0 :=
kernel_fork.condition _
/-- The kernel built from `kernel.ι f` is limiting. -/
def kernel_is_kernel :
is_limit (fork.of_ι (kernel.ι f) ((kernel.condition f).trans (comp_zero.symm))) :=
is_limit.of_iso_limit (limit.is_limit _) (fork.ext (iso.refl _) (by tidy))
/-- Given any morphism `k : W ⟶ X` satisfying `k ≫ f = 0`, `k` factors through `kernel.ι f`
via `kernel.lift : W ⟶ kernel f`. -/
abbreviation kernel.lift {W : C} (k : W ⟶ X) (h : k ≫ f = 0) : W ⟶ kernel f :=
(kernel_is_kernel f).lift (kernel_fork.of_ι k h)
@[simp, reassoc]
lemma kernel.lift_ι {W : C} (k : W ⟶ X) (h : k ≫ f = 0) : kernel.lift f k h ≫ kernel.ι f = k :=
(kernel_is_kernel f).fac (kernel_fork.of_ι k h) walking_parallel_pair.zero
@[simp]
lemma kernel.lift_zero {W : C} {h} : kernel.lift f (0 : W ⟶ X) h = 0 :=
by { ext, simp, }
instance kernel.lift_mono {W : C} (k : W ⟶ X) (h : k ≫ f = 0) [mono k] : mono (kernel.lift f k h) :=
⟨λ Z g g' w,
begin
replace w := w =≫ kernel.ι f,
simp only [category.assoc, kernel.lift_ι] at w,
exact (cancel_mono k).1 w,
end⟩
/-- Any morphism `k : W ⟶ X` satisfying `k ≫ f = 0` induces a morphism `l : W ⟶ kernel f` such that
`l ≫ kernel.ι f = k`. -/
def kernel.lift' {W : C} (k : W ⟶ X) (h : k ≫ f = 0) : {l : W ⟶ kernel f // l ≫ kernel.ι f = k} :=
⟨kernel.lift f k h, kernel.lift_ι _ _ _⟩
/-- A commuting square induces a morphism of kernels. -/
abbreviation kernel.map {X' Y' : C} (f' : X' ⟶ Y') [has_kernel f']
(p : X ⟶ X') (q : Y ⟶ Y') (w : f ≫ q = p ≫ f') : kernel f ⟶ kernel f' :=
kernel.lift f' (kernel.ι f ≫ p) (by simp [←w])
/--
Given a commutative diagram
X --f--> Y --g--> Z
| | |
| | |
v v v
X' -f'-> Y' -g'-> Z'
with horizontal arrows composing to zero,
then we obtain a commutative square
X ---> kernel g
| |
| | kernel.map
| |
v v
X' --> kernel g'
-/
lemma kernel.lift_map {X Y Z X' Y' Z' : C}
(f : X ⟶ Y) (g : Y ⟶ Z) [has_kernel g] (w : f ≫ g = 0)
(f' : X' ⟶ Y') (g' : Y' ⟶ Z') [has_kernel g'] (w' : f' ≫ g' = 0)
(p : X ⟶ X') (q : Y ⟶ Y') (r : Z ⟶ Z') (h₁ : f ≫ q = p ≫ f') (h₂ : g ≫ r = q ≫ g') :
kernel.lift g f w ≫ kernel.map g g' q r h₂ = p ≫ kernel.lift g' f' w' :=
by { ext, simp [h₁], }
/-- A commuting square of isomorphisms induces an isomorphism of kernels. -/
@[simps]
def kernel.map_iso {X' Y' : C} (f' : X' ⟶ Y') [has_kernel f']
(p : X ≅ X') (q : Y ≅ Y') (w : f ≫ q.hom = p.hom ≫ f') : kernel f ≅ kernel f' :=
{ hom := kernel.map f f' p.hom q.hom w,
inv := kernel.map f' f p.inv q.inv (by { refine (cancel_mono q.hom).1 _, simp [w], }), }
/-- Every kernel of the zero morphism is an isomorphism -/
instance kernel.ι_zero_is_iso : is_iso (kernel.ι (0 : X ⟶ Y)) :=
equalizer.ι_of_self _
lemma eq_zero_of_epi_kernel [epi (kernel.ι f)] : f = 0 :=
(cancel_epi (kernel.ι f)).1 (by simp)
/-- The kernel of a zero morphism is isomorphic to the source. -/
def kernel_zero_iso_source : kernel (0 : X ⟶ Y) ≅ X :=
equalizer.iso_source_of_self 0
@[simp] lemma kernel_zero_iso_source_hom :
kernel_zero_iso_source.hom = kernel.ι (0 : X ⟶ Y) := rfl
@[simp] lemma kernel_zero_iso_source_inv :
kernel_zero_iso_source.inv = kernel.lift (0 : X ⟶ Y) (𝟙 X) (by simp) :=
by { ext, simp [kernel_zero_iso_source], }
/-- If two morphisms are known to be equal, then their kernels are isomorphic. -/
def kernel_iso_of_eq {f g : X ⟶ Y} [has_kernel f] [has_kernel g] (h : f = g) :
kernel f ≅ kernel g :=
has_limit.iso_of_nat_iso (by simp[h])
@[simp]
lemma kernel_iso_of_eq_refl {h : f = f} : kernel_iso_of_eq h = iso.refl (kernel f) :=
by { ext, simp [kernel_iso_of_eq], }
@[simp, reassoc]
lemma kernel_iso_of_eq_hom_comp_ι {f g : X ⟶ Y} [has_kernel f] [has_kernel g] (h : f = g) :
(kernel_iso_of_eq h).hom ≫ kernel.ι _ = kernel.ι _ :=
by { unfreezingI { induction h, simp } }
@[simp, reassoc]
lemma kernel_iso_of_eq_inv_comp_ι {f g : X ⟶ Y} [has_kernel f] [has_kernel g] (h : f = g) :
(kernel_iso_of_eq h).inv ≫ kernel.ι _ = kernel.ι _ :=
by { unfreezingI { induction h, simp } }
@[simp, reassoc]
lemma lift_comp_kernel_iso_of_eq_hom {Z} {f g : X ⟶ Y} [has_kernel f] [has_kernel g]
(h : f = g) (e : Z ⟶ X) (he) :
kernel.lift _ e he ≫ (kernel_iso_of_eq h).hom = kernel.lift _ e (by simp [← h, he]) :=
by { unfreezingI { induction h, simp } }
@[simp, reassoc]
lemma lift_comp_kernel_iso_of_eq_inv {Z} {f g : X ⟶ Y} [has_kernel f] [has_kernel g]
(h : f = g) (e : Z ⟶ X) (he) :
kernel.lift _ e he ≫ (kernel_iso_of_eq h).inv = kernel.lift _ e (by simp [h, he]) :=
by { unfreezingI { induction h, simp } }
@[simp]
lemma kernel_iso_of_eq_trans {f g h : X ⟶ Y} [has_kernel f] [has_kernel g] [has_kernel h]
(w₁ : f = g) (w₂ : g = h) :
kernel_iso_of_eq w₁ ≪≫ kernel_iso_of_eq w₂ = kernel_iso_of_eq (w₁.trans w₂) :=
by { unfreezingI { induction w₁, induction w₂, }, ext, simp [kernel_iso_of_eq], }
variables {f}
lemma kernel_not_epi_of_nonzero (w : f ≠ 0) : ¬epi (kernel.ι f) :=
λ I, by exactI w (eq_zero_of_epi_kernel f)
lemma kernel_not_iso_of_nonzero (w : f ≠ 0) : (is_iso (kernel.ι f)) → false :=
λ I, kernel_not_epi_of_nonzero w $ by { resetI, apply_instance }
instance has_kernel_comp_mono {X Y Z : C} (f : X ⟶ Y) [has_kernel f] (g : Y ⟶ Z) [mono g] :
has_kernel (f ≫ g) :=
⟨⟨{ cone := _, is_limit := is_kernel_comp_mono (limit.is_limit _) g rfl }⟩⟩
/--
When `g` is a monomorphism, the kernel of `f ≫ g` is isomorphic to the kernel of `f`.
-/
@[simps]
def kernel_comp_mono {X Y Z : C} (f : X ⟶ Y) (g : Y ⟶ Z) [has_kernel f] [mono g] :
kernel (f ≫ g) ≅ kernel f :=
{ hom := kernel.lift _ (kernel.ι _) (by { rw [←cancel_mono g], simp, }),
inv := kernel.lift _ (kernel.ι _) (by simp), }
instance has_kernel_iso_comp {X Y Z : C} (f : X ⟶ Y) (g : Y ⟶ Z) [is_iso f] [has_kernel g] :
has_kernel (f ≫ g) :=
{ exists_limit :=
⟨{ cone := kernel_fork.of_ι (kernel.ι g ≫ inv f) (by simp),
is_limit := is_limit_aux _ (λ s, kernel.lift _ (s.ι ≫ f) (by tidy)) (by tidy)
(λ s m w, by { simp_rw [←w], ext, simp, }), }⟩ }
/--
When `f` is an isomorphism, the kernel of `f ≫ g` is isomorphic to the kernel of `g`.
-/
@[simps]
def kernel_is_iso_comp {X Y Z : C} (f : X ⟶ Y) (g : Y ⟶ Z) [is_iso f] [has_kernel g] :
kernel (f ≫ g) ≅ kernel g :=
{ hom := kernel.lift _ (kernel.ι _ ≫ f) (by simp),
inv := kernel.lift _ (kernel.ι _ ≫ inv f) (by simp), }
end
section has_zero_object
variables [has_zero_object C]
open_locale zero_object
/-- The morphism from the zero object determines a cone on a kernel diagram -/
def kernel.zero_kernel_fork : kernel_fork f :=
{ X := 0,
π := { app := λ j, 0 }}
/-- The map from the zero object is a kernel of a monomorphism -/
def kernel.is_limit_cone_zero_cone [mono f] : is_limit (kernel.zero_kernel_fork f) :=
fork.is_limit.mk _ (λ s, 0)
(λ s, by { erw zero_comp,
convert (zero_of_comp_mono f _).symm,
exact kernel_fork.condition _ })
(λ _ _ _, zero_of_to_zero _)
/-- The kernel of a monomorphism is isomorphic to the zero object -/
def kernel.of_mono [has_kernel f] [mono f] : kernel f ≅ 0 :=
functor.map_iso (cones.forget _) $ is_limit.unique_up_to_iso
(limit.is_limit (parallel_pair f 0)) (kernel.is_limit_cone_zero_cone f)
/-- The kernel morphism of a monomorphism is a zero morphism -/
lemma kernel.ι_of_mono [has_kernel f] [mono f] : kernel.ι f = 0 :=
zero_of_source_iso_zero _ (kernel.of_mono f)
/-- If `g ≫ f = 0` implies `g = 0` for all `g`, then `0 : 0 ⟶ X` is a kernel of `f`. -/
def zero_kernel_of_cancel_zero {X Y : C} (f : X ⟶ Y)
(hf : ∀ (Z : C) (g : Z ⟶ X) (hgf : g ≫ f = 0), g = 0) :
is_limit (kernel_fork.of_ι (0 : 0 ⟶ X) (show 0 ≫ f = 0, by simp)) :=
fork.is_limit.mk _ (λ s, 0)
(λ s, by rw [hf _ _ (kernel_fork.condition s), zero_comp])
(λ s m h, by ext)
end has_zero_object
section transport
/-- If `i` is an isomorphism such that `l ≫ i.hom = f`, then any kernel of `f` is a kernel of `l`.-/
def is_kernel.of_comp_iso {Z : C} (l : X ⟶ Z) (i : Z ≅ Y) (h : l ≫ i.hom = f)
{s : kernel_fork f} (hs : is_limit s) : is_limit (kernel_fork.of_ι (fork.ι s) $
show fork.ι s ≫ l = 0, by simp [←i.comp_inv_eq.2 h.symm]) :=
fork.is_limit.mk _
(λ s, hs.lift $ kernel_fork.of_ι (fork.ι s) $ by simp [←h])
(λ s, by simp)
(λ s m h, by { apply fork.is_limit.hom_ext hs, simpa using h })
/-- If `i` is an isomorphism such that `l ≫ i.hom = f`, then the kernel of `f` is a kernel of `l`.-/
def kernel.of_comp_iso [has_kernel f]
{Z : C} (l : X ⟶ Z) (i : Z ≅ Y) (h : l ≫ i.hom = f) :
is_limit (kernel_fork.of_ι (kernel.ι f) $
show kernel.ι f ≫ l = 0, by simp [←i.comp_inv_eq.2 h.symm]) :=
is_kernel.of_comp_iso f l i h $ limit.is_limit _
/-- If `s` is any limit kernel cone over `f` and if `i` is an isomorphism such that
`i.hom ≫ s.ι = l`, then `l` is a kernel of `f`. -/
def is_kernel.iso_kernel {Z : C} (l : Z ⟶ X) {s : kernel_fork f} (hs : is_limit s)
(i : Z ≅ s.X) (h : i.hom ≫ fork.ι s = l) : is_limit (kernel_fork.of_ι l $
show l ≫ f = 0, by simp [←h]) :=
is_limit.of_iso_limit hs $ cones.ext i.symm $ λ j,
by { cases j, { exact (iso.eq_inv_comp i).2 h }, { simp } }
/-- If `i` is an isomorphism such that `i.hom ≫ kernel.ι f = l`, then `l` is a kernel of `f`. -/
def kernel.iso_kernel [has_kernel f]
{Z : C} (l : Z ⟶ X) (i : Z ≅ kernel f) (h : i.hom ≫ kernel.ι f = l) :
is_limit (kernel_fork.of_ι l $ by simp [←h]) :=
is_kernel.iso_kernel f l (limit.is_limit _) i h
end transport
section
variables (X Y)
/-- The kernel morphism of a zero morphism is an isomorphism -/
lemma kernel.ι_of_zero : is_iso (kernel.ι (0 : X ⟶ Y)) :=
equalizer.ι_of_self _
end
section
/-- A cokernel cofork is just a cofork where the second morphism is a zero morphism. -/
abbreviation cokernel_cofork := cofork f 0
variables {f}
@[simp, reassoc] lemma cokernel_cofork.condition (s : cokernel_cofork f) : f ≫ s.π = 0 :=
by rw [cofork.condition, zero_comp]
@[simp] lemma cokernel_cofork.π_eq_zero (s : cokernel_cofork f) : s.ι.app zero = 0 :=
by simp [cofork.app_zero_eq_comp_π_right]
/-- A morphism `π` satisfying `f ≫ π = 0` determines a cokernel cofork on `f`. -/
abbreviation cokernel_cofork.of_π {Z : C} (π : Y ⟶ Z) (w : f ≫ π = 0) : cokernel_cofork f :=
cofork.of_π π $ by rw [w, zero_comp]
@[simp] lemma cokernel_cofork.π_of_π {X Y P : C} (f : X ⟶ Y) (π : Y ⟶ P) (w : f ≫ π = 0) :
cofork.π (cokernel_cofork.of_π π w) = π := rfl
/-- Every cokernel cofork `s` is isomorphic (actually, equal) to `cofork.of_π (cofork.π s) _`. -/
def iso_of_π (s : cofork f 0) : s ≅ cofork.of_π (cofork.π s) (cofork.condition s) :=
cocones.ext (iso.refl _) $ λ j, by cases j; tidy
/-- If `π = π'`, then `cokernel_cofork.of_π π _` and `cokernel_cofork.of_π π' _` are isomorphic. -/
def of_π_congr {P : C} {π π' : Y ⟶ P} {w : f ≫ π = 0} (h : π = π') :
cokernel_cofork.of_π π w ≅ cokernel_cofork.of_π π' (by rw [←h, w]) :=
cocones.ext (iso.refl _) $ λ j, by cases j; tidy
/-- If `s` is a colimit cokernel cofork, then every `k : Y ⟶ W` satisfying `f ≫ k = 0` induces
`l : s.X ⟶ W` such that `cofork.π s ≫ l = k`. -/
def cokernel_cofork.is_colimit.desc' {s : cokernel_cofork f} (hs : is_colimit s) {W : C} (k : Y ⟶ W)
(h : f ≫ k = 0) : {l : s.X ⟶ W // cofork.π s ≫ l = k} :=
⟨hs.desc $ cokernel_cofork.of_π _ h, hs.fac _ _⟩
/--
This is a slightly more convenient method to verify that a cokernel cofork is a colimit cocone.
It only asks for a proof of facts that carry any mathematical content -/
def is_colimit_aux (t : cokernel_cofork f)
(desc : Π (s : cokernel_cofork f), t.X ⟶ s.X)
(fac : ∀ (s : cokernel_cofork f), t.π ≫ desc s = s.π)
(uniq : ∀ (s : cokernel_cofork f) (m : t.X ⟶ s.X) (w : t.π ≫ m = s.π), m = desc s) :
is_colimit t :=
{ desc := desc,
fac' := λ s j, by { cases j, { simp, }, { exact fac s, }, },
uniq' := λ s m w, uniq s m (w limits.walking_parallel_pair.one), }
/--
This is a more convenient formulation to show that a `cokernel_cofork` constructed using
`cokernel_cofork.of_π` is a limit cone.
-/
def cokernel_cofork.is_colimit.of_π {Z : C} (g : Y ⟶ Z) (eq : f ≫ g = 0)
(desc : Π {Z' : C} (g' : Y ⟶ Z') (eq' : f ≫ g' = 0), Z ⟶ Z')
(fac : ∀ {Z' : C} (g' : Y ⟶ Z') (eq' : f ≫ g' = 0), g ≫ desc g' eq' = g')
(uniq :
∀ {Z' : C} (g' : Y ⟶ Z') (eq' : f ≫ g' = 0) (m : Z ⟶ Z') (w : g ≫ m = g'), m = desc g' eq') :
is_colimit (cokernel_cofork.of_π g eq) :=
is_colimit_aux _ (λ s, desc s.π s.condition) (λ s, fac s.π s.condition) (λ s, uniq s.π s.condition)
/-- Every cokernel of `f` induces a cokernel of `g ≫ f` if `g` is epi. -/
def is_cokernel_epi_comp {c : cokernel_cofork f} (i : is_colimit c) {W} (g : W ⟶ X) [hg : epi g]
{h : W ⟶ Y} (hh : h = g ≫ f) :
is_colimit (cokernel_cofork.of_π c.π (by rw [hh]; simp) : cokernel_cofork h) :=
cofork.is_colimit.mk' _ $ λ s,
let s' : cokernel_cofork f := cofork.of_π s.π
(by { apply hg.left_cancellation, rw [←category.assoc, ←hh, s.condition], simp }) in
let l := cokernel_cofork.is_colimit.desc' i s'.π s'.condition in
⟨l.1, l.2,
λ m hm, by apply cofork.is_colimit.hom_ext i; rw cofork.π_of_π at hm; rw hm; exact l.2.symm⟩
@[simp]
lemma is_cokernel_epi_comp_desc {c : cokernel_cofork f} (i : is_colimit c) {W}
(g : W ⟶ X) [hg : epi g] {h : W ⟶ Y} (hh : h = g ≫ f) (s : cokernel_cofork h) :
(is_cokernel_epi_comp i g hh).desc s
= i.desc (cofork.of_π s.π (by { rw [←cancel_epi g, ←category.assoc, ←hh], simp })) := rfl
/-- Every cokernel of `g ≫ f` is also a cokernel of `f`, as long as `f ≫ c.π` vanishes. -/
def is_cokernel_of_comp {W : C} (g : W ⟶ X) (h : W ⟶ Y) {c : cokernel_cofork h} (i : is_colimit c)
(hf : f ≫ c.π = 0) (hfg : g ≫ f = h) : is_colimit (cokernel_cofork.of_π c.π hf) :=
cofork.is_colimit.mk _
(λ s, i.desc (cokernel_cofork.of_π s.π (by simp [← hfg])))
(λ s, by simp only [cokernel_cofork.π_of_π, cofork.is_colimit.π_desc])
(λ s m h, by { apply cofork.is_colimit.hom_ext i, simpa using h })
end
section
variables [has_cokernel f]
/-- The cokernel of a morphism, expressed as the coequalizer with the 0 morphism. -/
abbreviation cokernel : C := coequalizer f 0
/-- The map from the target of `f` to `cokernel f`. -/
abbreviation cokernel.π : Y ⟶ cokernel f := coequalizer.π f 0
@[simp] lemma coequalizer_as_cokernel : coequalizer.π f 0 = cokernel.π f := rfl
@[simp, reassoc] lemma cokernel.condition : f ≫ cokernel.π f = 0 :=
cokernel_cofork.condition _
/-- The cokernel built from `cokernel.π f` is colimiting. -/
def cokernel_is_cokernel :
is_colimit (cofork.of_π (cokernel.π f) ((cokernel.condition f).trans (zero_comp.symm))) :=
is_colimit.of_iso_colimit (colimit.is_colimit _) (cofork.ext (iso.refl _) (by tidy))
/-- Given any morphism `k : Y ⟶ W` such that `f ≫ k = 0`, `k` factors through `cokernel.π f`
via `cokernel.desc : cokernel f ⟶ W`. -/
abbreviation cokernel.desc {W : C} (k : Y ⟶ W) (h : f ≫ k = 0) : cokernel f ⟶ W :=
(cokernel_is_cokernel f).desc (cokernel_cofork.of_π k h)
@[simp, reassoc]
lemma cokernel.π_desc {W : C} (k : Y ⟶ W) (h : f ≫ k = 0) :
cokernel.π f ≫ cokernel.desc f k h = k :=
(cokernel_is_cokernel f).fac (cokernel_cofork.of_π k h) walking_parallel_pair.one
@[simp]
lemma cokernel.desc_zero {W : C} {h} : cokernel.desc f (0 : Y ⟶ W) h = 0 :=
by { ext, simp, }
instance cokernel.desc_epi
{W : C} (k : Y ⟶ W) (h : f ≫ k = 0) [epi k] : epi (cokernel.desc f k h) :=
⟨λ Z g g' w,
begin
replace w := cokernel.π f ≫= w,
simp only [cokernel.π_desc_assoc] at w,
exact (cancel_epi k).1 w,
end⟩
/-- Any morphism `k : Y ⟶ W` satisfying `f ≫ k = 0` induces `l : cokernel f ⟶ W` such that
`cokernel.π f ≫ l = k`. -/
def cokernel.desc' {W : C} (k : Y ⟶ W) (h : f ≫ k = 0) :
{l : cokernel f ⟶ W // cokernel.π f ≫ l = k} :=
⟨cokernel.desc f k h, cokernel.π_desc _ _ _⟩
/-- A commuting square induces a morphism of cokernels. -/
abbreviation cokernel.map {X' Y' : C} (f' : X' ⟶ Y') [has_cokernel f']
(p : X ⟶ X') (q : Y ⟶ Y') (w : f ≫ q = p ≫ f') : cokernel f ⟶ cokernel f' :=
cokernel.desc f (q ≫ cokernel.π f') (by simp [reassoc_of w])
/--
Given a commutative diagram
X --f--> Y --g--> Z
| | |
| | |
v v v
X' -f'-> Y' -g'-> Z'
with horizontal arrows composing to zero,
then we obtain a commutative square
cokernel f ---> Z
| |
| cokernel.map |
| |
v v
cokernel f' --> Z'
-/
lemma cokernel.map_desc {X Y Z X' Y' Z' : C}
(f : X ⟶ Y) [has_cokernel f] (g : Y ⟶ Z) (w : f ≫ g = 0)
(f' : X' ⟶ Y') [has_cokernel f'] (g' : Y' ⟶ Z') (w' : f' ≫ g' = 0)
(p : X ⟶ X') (q : Y ⟶ Y') (r : Z ⟶ Z') (h₁ : f ≫ q = p ≫ f') (h₂ : g ≫ r = q ≫ g') :
cokernel.map f f' p q h₁ ≫ cokernel.desc f' g' w' = cokernel.desc f g w ≫ r :=
by { ext, simp [h₂], }
/-- A commuting square of isomorphisms induces an isomorphism of cokernels. -/
@[simps]
def cokernel.map_iso {X' Y' : C} (f' : X' ⟶ Y') [has_cokernel f']
(p : X ≅ X') (q : Y ≅ Y') (w : f ≫ q.hom = p.hom ≫ f') : cokernel f ≅ cokernel f' :=
{ hom := cokernel.map f f' p.hom q.hom w,
inv := cokernel.map f' f p.inv q.inv (by { refine (cancel_mono q.hom).1 _, simp [w], }), }
/-- The cokernel of the zero morphism is an isomorphism -/
instance cokernel.π_zero_is_iso :
is_iso (cokernel.π (0 : X ⟶ Y)) :=
coequalizer.π_of_self _
lemma eq_zero_of_mono_cokernel [mono (cokernel.π f)] : f = 0 :=
(cancel_mono (cokernel.π f)).1 (by simp)
/-- The cokernel of a zero morphism is isomorphic to the target. -/
def cokernel_zero_iso_target : cokernel (0 : X ⟶ Y) ≅ Y :=
coequalizer.iso_target_of_self 0
@[simp] lemma cokernel_zero_iso_target_hom :
cokernel_zero_iso_target.hom = cokernel.desc (0 : X ⟶ Y) (𝟙 Y) (by simp) :=
by { ext, simp [cokernel_zero_iso_target], }
@[simp] lemma cokernel_zero_iso_target_inv :
cokernel_zero_iso_target.inv = cokernel.π (0 : X ⟶ Y) := rfl
/-- If two morphisms are known to be equal, then their cokernels are isomorphic. -/
def cokernel_iso_of_eq {f g : X ⟶ Y} [has_cokernel f] [has_cokernel g] (h : f = g) :
cokernel f ≅ cokernel g :=
has_colimit.iso_of_nat_iso (by simp[h])
@[simp]
lemma cokernel_iso_of_eq_refl {h : f = f} : cokernel_iso_of_eq h = iso.refl (cokernel f) :=
by { ext, simp [cokernel_iso_of_eq], }
@[simp, reassoc]
lemma π_comp_cokernel_iso_of_eq_hom {f g : X ⟶ Y} [has_cokernel f] [has_cokernel g] (h : f = g) :
cokernel.π _ ≫ (cokernel_iso_of_eq h).hom = cokernel.π _ :=
by { unfreezingI { induction h, simp } }
@[simp, reassoc]
lemma π_comp_cokernel_iso_of_eq_inv {f g : X ⟶ Y} [has_cokernel f] [has_cokernel g] (h : f = g) :
cokernel.π _ ≫ (cokernel_iso_of_eq h).inv = cokernel.π _ :=
by { unfreezingI { induction h, simp } }
@[simp, reassoc]
lemma cokernel_iso_of_eq_hom_comp_desc {Z} {f g : X ⟶ Y} [has_cokernel f] [has_cokernel g]
(h : f = g) (e : Y ⟶ Z) (he) :
(cokernel_iso_of_eq h).hom ≫ cokernel.desc _ e he = cokernel.desc _ e (by simp [h, he]) :=
by { unfreezingI { induction h, simp } }
@[simp, reassoc]
lemma cokernel_iso_of_eq_inv_comp_desc {Z} {f g : X ⟶ Y} [has_cokernel f] [has_cokernel g]
(h : f = g) (e : Y ⟶ Z) (he) :
(cokernel_iso_of_eq h).inv ≫ cokernel.desc _ e he = cokernel.desc _ e (by simp [← h, he]) :=
by { unfreezingI { induction h, simp } }
@[simp]
lemma cokernel_iso_of_eq_trans {f g h : X ⟶ Y} [has_cokernel f] [has_cokernel g] [has_cokernel h]
(w₁ : f = g) (w₂ : g = h) :
cokernel_iso_of_eq w₁ ≪≫ cokernel_iso_of_eq w₂ = cokernel_iso_of_eq (w₁.trans w₂) :=
by { unfreezingI { induction w₁, induction w₂, }, ext, simp [cokernel_iso_of_eq], }
variables {f}
lemma cokernel_not_mono_of_nonzero (w : f ≠ 0) : ¬mono (cokernel.π f) :=
λ I, by exactI w (eq_zero_of_mono_cokernel f)
lemma cokernel_not_iso_of_nonzero (w : f ≠ 0) : (is_iso (cokernel.π f)) → false :=
λ I, cokernel_not_mono_of_nonzero w $ by { resetI, apply_instance }
-- TODO the remainder of this section has obvious generalizations to `has_coequalizer f g`.
instance has_cokernel_comp_iso {X Y Z : C} (f : X ⟶ Y) (g : Y ⟶ Z) [has_cokernel f] [is_iso g] :
has_cokernel (f ≫ g) :=
{ exists_colimit :=
⟨{ cocone := cokernel_cofork.of_π (inv g ≫ cokernel.π f) (by simp),
is_colimit := is_colimit_aux _ (λ s, cokernel.desc _ (g ≫ s.π)
(by { rw [←category.assoc, cokernel_cofork.condition], }))
(by tidy)
(λ s m w, by { simp_rw [←w], ext, simp, }), }⟩ }
/--
When `g` is an isomorphism, the cokernel of `f ≫ g` is isomorphic to the cokernel of `f`.
-/
@[simps]
def cokernel_comp_is_iso {X Y Z : C} (f : X ⟶ Y) (g : Y ⟶ Z) [has_cokernel f] [is_iso g] :
cokernel (f ≫ g) ≅ cokernel f :=
{ hom := cokernel.desc _ (inv g ≫ cokernel.π f) (by simp),
inv := cokernel.desc _ (g ≫ cokernel.π (f ≫ g)) (by rw [←category.assoc, cokernel.condition]), }
instance has_cokernel_epi_comp {X Y : C} (f : X ⟶ Y) [has_cokernel f] {W} (g : W ⟶ X) [epi g] :
has_cokernel (g ≫ f) :=
⟨⟨{ cocone := _, is_colimit := is_cokernel_epi_comp (colimit.is_colimit _) g rfl }⟩⟩
/--
When `f` is an epimorphism, the cokernel of `f ≫ g` is isomorphic to the cokernel of `g`.
-/
@[simps]
def cokernel_epi_comp {X Y Z : C} (f : X ⟶ Y) (g : Y ⟶ Z) [epi f] [has_cokernel g] :
cokernel (f ≫ g) ≅ cokernel g :=
{ hom := cokernel.desc _ (cokernel.π g) (by simp),
inv := cokernel.desc _ (cokernel.π (f ≫ g)) (by { rw [←cancel_epi f, ←category.assoc], simp, }), }
end
section has_zero_object
variables [has_zero_object C]
open_locale zero_object
/-- The morphism to the zero object determines a cocone on a cokernel diagram -/
def cokernel.zero_cokernel_cofork : cokernel_cofork f :=
{ X := 0,
ι := { app := λ j, 0 } }
/-- The morphism to the zero object is a cokernel of an epimorphism -/
def cokernel.is_colimit_cocone_zero_cocone [epi f] :
is_colimit (cokernel.zero_cokernel_cofork f) :=
cofork.is_colimit.mk _ (λ s, 0)
(λ s, by { erw zero_comp,
convert (zero_of_epi_comp f _).symm,
exact cokernel_cofork.condition _ })
(λ _ _ _, zero_of_from_zero _)
/-- The cokernel of an epimorphism is isomorphic to the zero object -/
def cokernel.of_epi [has_cokernel f] [epi f] : cokernel f ≅ 0 :=
functor.map_iso (cocones.forget _) $ is_colimit.unique_up_to_iso
(colimit.is_colimit (parallel_pair f 0)) (cokernel.is_colimit_cocone_zero_cocone f)
/-- The cokernel morphism of an epimorphism is a zero morphism -/
lemma cokernel.π_of_epi [has_cokernel f] [epi f] : cokernel.π f = 0 :=
zero_of_target_iso_zero _ (cokernel.of_epi f)
end has_zero_object
section mono_factorisation
variables {f}
@[simp] lemma mono_factorisation.kernel_ι_comp [has_kernel f] (F : mono_factorisation f) :
kernel.ι f ≫ F.e = 0 :=
by rw [← cancel_mono F.m, zero_comp, category.assoc, F.fac, kernel.condition]
end mono_factorisation
section has_image
/--
The cokernel of the image inclusion of a morphism `f` is isomorphic to the cokernel of `f`.
(This result requires that the factorisation through the image is an epimorphism.
This holds in any category with equalizers.)
-/
@[simps]
def cokernel_image_ι {X Y : C} (f : X ⟶ Y)
[has_image f] [has_cokernel (image.ι f)] [has_cokernel f] [epi (factor_thru_image f)] :
cokernel (image.ι f) ≅ cokernel f :=
{ hom := cokernel.desc _ (cokernel.π f)
begin
have w := cokernel.condition f,
conv at w { to_lhs, congr, rw ←image.fac f, },
rw [←has_zero_morphisms.comp_zero (limits.factor_thru_image f), category.assoc, cancel_epi]
at w,
exact w,
end,
inv := cokernel.desc _ (cokernel.π _)
begin
conv { to_lhs, congr, rw ←image.fac f, },
rw [category.assoc, cokernel.condition, has_zero_morphisms.comp_zero],
end, }
end has_image
section
variables (X Y)
/-- The cokernel of a zero morphism is an isomorphism -/
lemma cokernel.π_of_zero :
is_iso (cokernel.π (0 : X ⟶ Y)) :=
coequalizer.π_of_self _
end
section has_zero_object
variables [has_zero_object C]
open_locale zero_object
/-- The kernel of the cokernel of an epimorphism is an isomorphism -/
instance kernel.of_cokernel_of_epi [has_cokernel f]
[has_kernel (cokernel.π f)] [epi f] : is_iso (kernel.ι (cokernel.π f)) :=
equalizer.ι_of_eq $ cokernel.π_of_epi f
/-- The cokernel of the kernel of a monomorphism is an isomorphism -/
instance cokernel.of_kernel_of_mono [has_kernel f]
[has_cokernel (kernel.ι f)] [mono f] : is_iso (cokernel.π (kernel.ι f)) :=
coequalizer.π_of_eq $ kernel.ι_of_mono f
/-- If `f ≫ g = 0` implies `g = 0` for all `g`, then `0 : Y ⟶ 0` is a cokernel of `f`. -/
def zero_cokernel_of_zero_cancel {X Y : C} (f : X ⟶ Y)
(hf : ∀ (Z : C) (g : Y ⟶ Z) (hgf : f ≫ g = 0), g = 0) :
is_colimit (cokernel_cofork.of_π (0 : Y ⟶ 0) (show f ≫ 0 = 0, by simp)) :=
cofork.is_colimit.mk _ (λ s, 0)
(λ s, by rw [hf _ _ (cokernel_cofork.condition s), comp_zero])
(λ s m h, by ext)
end has_zero_object
section transport
/-- If `i` is an isomorphism such that `i.hom ≫ l = f`, then any cokernel of `f` is a cokernel of
`l`. -/
def is_cokernel.of_iso_comp {Z : C} (l : Z ⟶ Y) (i : X ≅ Z) (h : i.hom ≫ l = f)
{s : cokernel_cofork f} (hs : is_colimit s) : is_colimit (cokernel_cofork.of_π (cofork.π s) $
show l ≫ cofork.π s = 0, by simp [i.eq_inv_comp.2 h]) :=
cofork.is_colimit.mk _
(λ s, hs.desc $ cokernel_cofork.of_π (cofork.π s) $ by simp [←h])
(λ s, by simp)
(λ s m h, by { apply cofork.is_colimit.hom_ext hs, simpa using h })
/-- If `i` is an isomorphism such that `i.hom ≫ l = f`, then the cokernel of `f` is a cokernel of
`l`. -/
def cokernel.of_iso_comp [has_cokernel f]
{Z : C} (l : Z ⟶ Y) (i : X ≅ Z) (h : i.hom ≫ l = f) :
is_colimit (cokernel_cofork.of_π (cokernel.π f) $
show l ≫ cokernel.π f = 0, by simp [i.eq_inv_comp.2 h]) :=
is_cokernel.of_iso_comp f l i h $ colimit.is_colimit _
/-- If `s` is any colimit cokernel cocone over `f` and `i` is an isomorphism such that
`s.π ≫ i.hom = l`, then `l` is a cokernel of `f`. -/
def is_cokernel.cokernel_iso {Z : C} (l : Y ⟶ Z) {s : cokernel_cofork f} (hs : is_colimit s)
(i : s.X ≅ Z) (h : cofork.π s ≫ i.hom = l) : is_colimit (cokernel_cofork.of_π l $
show f ≫ l = 0, by simp [←h]) :=
is_colimit.of_iso_colimit hs $ cocones.ext i $ λ j, by { cases j, { simp }, { exact h } }
/-- If `i` is an isomorphism such that `cokernel.π f ≫ i.hom = l`, then `l` is a cokernel of `f`. -/
def cokernel.cokernel_iso [has_cokernel f]
{Z : C} (l : Y ⟶ Z) (i : cokernel f ≅ Z) (h : cokernel.π f ≫ i.hom = l) :
is_colimit (cokernel_cofork.of_π l $ by simp [←h]) :=
is_cokernel.cokernel_iso f l (colimit.is_colimit _) i h
end transport
section comparison
variables {D : Type u₂} [category.{v₂} D] [has_zero_morphisms D]
variables (G : C ⥤ D) [functor.preserves_zero_morphisms G]
/--
The comparison morphism for the kernel of `f`.
This is an isomorphism iff `G` preserves the kernel of `f`; see
`category_theory/limits/preserves/shapes/kernels.lean`
-/
def kernel_comparison [has_kernel f] [has_kernel (G.map f)] :
G.obj (kernel f) ⟶ kernel (G.map f) :=
kernel.lift _ (G.map (kernel.ι f)) (by simp only [←G.map_comp, kernel.condition, functor.map_zero])
@[simp, reassoc]
lemma kernel_comparison_comp_ι [has_kernel f] [has_kernel (G.map f)] :
kernel_comparison f G ≫ kernel.ι (G.map f) = G.map (kernel.ι f) :=
kernel.lift_ι _ _ _
@[simp, reassoc]
lemma map_lift_kernel_comparison [has_kernel f] [has_kernel (G.map f)]
{Z : C} {h : Z ⟶ X} (w : h ≫ f = 0) :
G.map (kernel.lift _ h w) ≫ kernel_comparison f G =
kernel.lift _ (G.map h) (by simp only [←G.map_comp, w, functor.map_zero]) :=
by { ext, simp [← G.map_comp] }
@[reassoc] lemma kernel_comparison_comp_kernel_map {X' Y' : C} [has_kernel f]
[has_kernel (G.map f)] (g : X' ⟶ Y') [has_kernel g] [has_kernel (G.map g)] (p : X ⟶ X')
(q : Y ⟶ Y') (hpq : f ≫ q = p ≫ g) :
kernel_comparison f G ≫ (kernel.map (G.map f) (G.map g) (G.map p) (G.map q)
(by rw [←G.map_comp, hpq, G.map_comp])) =
G.map (kernel.map f g p q hpq) ≫ kernel_comparison g G :=
kernel.lift_map _ _ (by rw [←G.map_comp, kernel.condition, G.map_zero]) _ _
(by rw [←G.map_comp, kernel.condition, G.map_zero]) _ _ _
(by simp only [←G.map_comp]; exact G.congr_map (kernel.lift_ι _ _ _).symm) _
/-- The comparison morphism for the cokernel of `f`. -/
def cokernel_comparison [has_cokernel f] [has_cokernel (G.map f)] :
cokernel (G.map f) ⟶ G.obj (cokernel f) :=
cokernel.desc _ (G.map (coequalizer.π _ _))
(by simp only [←G.map_comp, cokernel.condition, functor.map_zero])
@[simp, reassoc]
lemma π_comp_cokernel_comparison [has_cokernel f] [has_cokernel (G.map f)] :
cokernel.π (G.map f) ≫ cokernel_comparison f G = G.map (cokernel.π _) :=
cokernel.π_desc _ _ _
@[simp, reassoc]
lemma cokernel_comparison_map_desc [has_cokernel f] [has_cokernel (G.map f)]
{Z : C} {h : Y ⟶ Z} (w : f ≫ h = 0) :
cokernel_comparison f G ≫ G.map (cokernel.desc _ h w) =
cokernel.desc _ (G.map h) (by simp only [←G.map_comp, w, functor.map_zero]) :=
by { ext, simp [← G.map_comp] }
@[reassoc] lemma cokernel_map_comp_cokernel_comparison {X' Y' : C} [has_cokernel f]
[has_cokernel (G.map f)] (g : X' ⟶ Y') [has_cokernel g] [has_cokernel (G.map g)]
(p : X ⟶ X') (q : Y ⟶ Y') (hpq : f ≫ q = p ≫ g) :
cokernel.map (G.map f) (G.map g) (G.map p) (G.map q) (by rw [←G.map_comp, hpq, G.map_comp])
≫ cokernel_comparison _ G = cokernel_comparison _ G ≫ G.map (cokernel.map f g p q hpq) :=
cokernel.map_desc _ _ (by rw [←G.map_comp, cokernel.condition, G.map_zero]) _ _
(by rw [←G.map_comp, cokernel.condition, G.map_zero]) _ _ _ _
(by simp only [←G.map_comp]; exact G.congr_map (cokernel.π_desc _ _ _))
end comparison
end category_theory.limits
namespace category_theory.limits
variables (C : Type u) [category.{v} C]
variables [has_zero_morphisms C]
/-- `has_kernels` represents the existence of kernels for every morphism. -/
class has_kernels : Prop :=
(has_limit : Π {X Y : C} (f : X ⟶ Y), has_kernel f . tactic.apply_instance)
/-- `has_cokernels` represents the existence of cokernels for every morphism. -/
class has_cokernels : Prop :=
(has_colimit : Π {X Y : C} (f : X ⟶ Y), has_cokernel f . tactic.apply_instance)
attribute [instance, priority 100] has_kernels.has_limit has_cokernels.has_colimit
@[priority 100]
instance has_kernels_of_has_equalizers [has_equalizers C] : has_kernels C :=
{}
@[priority 100]
instance has_cokernels_of_has_coequalizers [has_coequalizers C] : has_cokernels C :=
{}
end category_theory.limits
|
392bf62b2d0254e5b10be60290cb78c855096433 | bb31430994044506fa42fd667e2d556327e18dfe | /src/order/initial_seg.lean | 16841b0aeddbe3b60ed93a8393ede04b38abfc25 | [
"Apache-2.0"
] | permissive | sgouezel/mathlib | 0cb4e5335a2ba189fa7af96d83a377f83270e503 | 00638177efd1b2534fc5269363ebf42a7871df9a | refs/heads/master | 1,674,527,483,042 | 1,673,665,568,000 | 1,673,665,568,000 | 119,598,202 | 0 | 0 | null | 1,517,348,647,000 | 1,517,348,646,000 | null | UTF-8 | Lean | false | false | 18,221 | lean | /-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro, Floris van Doorn
-/
import order.rel_iso.set
import order.well_founded
/-!
# Initial and principal segments
> THIS FILE IS SYNCHRONIZED WITH MATHLIB4.
> Any changes to this file require a corresponding PR to mathlib4.
This file defines initial and principal segments.
## Main definitions
* `initial_seg r s`: type of order embeddings of `r` into `s` for which the range is an initial
segment (i.e., if `b` belongs to the range, then any `b' < b` also belongs to the range).
It is denoted by `r ≼i s`.
* `principal_seg r s`: Type of order embeddings of `r` into `s` for which the range is a principal
segment, i.e., an interval of the form `(-∞, top)` for some element `top`. It is denoted by
`r ≺i s`.
## Notations
These notations belong to the `initial_seg` locale.
* `r ≼i s`: the type of initial segment embeddings of `r` into `s`.
* `r ≺i s`: the type of principal segment embeddings of `r` into `s`.
-/
/-!
### Initial segments
Order embeddings whose range is an initial segment of `s` (i.e., if `b` belongs to the range, then
any `b' < b` also belongs to the range). The type of these embeddings from `r` to `s` is called
`initial_seg r s`, and denoted by `r ≼i s`.
-/
variables {α : Type*} {β : Type*} {γ : Type*}
{r : α → α → Prop} {s : β → β → Prop} {t : γ → γ → Prop}
open function
/-- If `r` is a relation on `α` and `s` in a relation on `β`, then `f : r ≼i s` is an order
embedding whose range is an initial segment. That is, whenever `b < f a` in `β` then `b` is in the
range of `f`. -/
structure initial_seg {α β : Type*} (r : α → α → Prop) (s : β → β → Prop) extends r ↪r s :=
(init : ∀ a b, s b (to_rel_embedding a) → ∃ a', to_rel_embedding a' = b)
localized "infix (name := initial_seg) ` ≼i `:25 := initial_seg" in initial_seg
namespace initial_seg
instance : has_coe (r ≼i s) (r ↪r s) := ⟨initial_seg.to_rel_embedding⟩
instance : has_coe_to_fun (r ≼i s) (λ _, α → β) := ⟨λ f x, (f : r ↪r s) x⟩
@[simp] theorem coe_fn_mk (f : r ↪r s) (o) :
(@initial_seg.mk _ _ r s f o : α → β) = f := rfl
@[simp] theorem coe_fn_to_rel_embedding (f : r ≼i s) : (f.to_rel_embedding : α → β) = f := rfl
@[simp] theorem coe_coe_fn (f : r ≼i s) : ((f : r ↪r s) : α → β) = f := rfl
theorem init' (f : r ≼i s) {a : α} {b : β} : s b (f a) → ∃ a', f a' = b :=
f.init _ _
theorem init_iff (f : r ≼i s) {a : α} {b : β} : s b (f a) ↔ ∃ a', f a' = b ∧ r a' a :=
⟨λ h, let ⟨a', e⟩ := f.init' h in ⟨a', e, (f : r ↪r s).map_rel_iff.1 (e.symm ▸ h)⟩,
λ ⟨a', e, h⟩, e ▸ (f : r ↪r s).map_rel_iff.2 h⟩
/-- An order isomorphism is an initial segment -/
def of_iso (f : r ≃r s) : r ≼i s :=
⟨f, λ a b h, ⟨f.symm b, rel_iso.apply_symm_apply f _⟩⟩
/-- The identity function shows that `≼i` is reflexive -/
@[refl] protected def refl (r : α → α → Prop) : r ≼i r :=
⟨rel_embedding.refl _, λ a b h, ⟨_, rfl⟩⟩
instance (r : α → α → Prop) : inhabited (r ≼i r) := ⟨initial_seg.refl r⟩
/-- Composition of functions shows that `≼i` is transitive -/
@[trans] protected def trans (f : r ≼i s) (g : s ≼i t) : r ≼i t :=
⟨f.1.trans g.1, λ a c h, begin
simp at h ⊢,
rcases g.2 _ _ h with ⟨b, rfl⟩, have h := g.1.map_rel_iff.1 h,
rcases f.2 _ _ h with ⟨a', rfl⟩, exact ⟨a', rfl⟩
end⟩
@[simp] theorem refl_apply (x : α) : initial_seg.refl r x = x := rfl
@[simp] theorem trans_apply (f : r ≼i s) (g : s ≼i t) (a : α) : (f.trans g) a = g (f a) := rfl
theorem unique_of_trichotomous_of_irrefl [is_trichotomous β s] [is_irrefl β s] :
well_founded r → subsingleton (r ≼i s) | ⟨h⟩ :=
⟨λ f g, begin
suffices : (f : α → β) = g, { cases f, cases g,
congr, exact rel_embedding.coe_fn_injective this },
funext a, have := h a, induction this with a H IH,
refine extensional_of_trichotomous_of_irrefl s (λ x, ⟨λ h, _, λ h, _⟩),
{ rcases f.init_iff.1 h with ⟨y, rfl, h'⟩,
rw IH _ h', exact (g : r ↪r s).map_rel_iff.2 h' },
{ rcases g.init_iff.1 h with ⟨y, rfl, h'⟩,
rw ← IH _ h', exact (f : r ↪r s).map_rel_iff.2 h' }
end⟩
instance [is_well_order β s] : subsingleton (r ≼i s) :=
⟨λ a, @subsingleton.elim _ (unique_of_trichotomous_of_irrefl
(@rel_embedding.well_founded _ _ r s a is_well_founded.wf)) a⟩
protected theorem eq [is_well_order β s] (f g : r ≼i s) (a) : f a = g a :=
by rw subsingleton.elim f g
theorem antisymm.aux [is_well_order α r] (f : r ≼i s) (g : s ≼i r) : left_inverse g f :=
initial_seg.eq (f.trans g) (initial_seg.refl _)
/-- If we have order embeddings between `α` and `β` whose images are initial segments, and `β`
is a well-order then `α` and `β` are order-isomorphic. -/
def antisymm [is_well_order β s] (f : r ≼i s) (g : s ≼i r) : r ≃r s :=
by haveI := f.to_rel_embedding.is_well_order; exact
⟨⟨f, g, antisymm.aux f g, antisymm.aux g f⟩, λ _ _, f.map_rel_iff'⟩
@[simp] theorem antisymm_to_fun [is_well_order β s]
(f : r ≼i s) (g : s ≼i r) : (antisymm f g : α → β) = f := rfl
@[simp] theorem antisymm_symm [is_well_order α r] [is_well_order β s]
(f : r ≼i s) (g : s ≼i r) : (antisymm f g).symm = antisymm g f :=
rel_iso.coe_fn_injective rfl
theorem eq_or_principal [is_well_order β s] (f : r ≼i s) :
surjective f ∨ ∃ b, ∀ x, s x b ↔ ∃ y, f y = x :=
or_iff_not_imp_right.2 $ λ h b,
acc.rec_on (is_well_founded.wf.apply b : acc s b) $ λ x H IH,
not_forall_not.1 $ λ hn,
h ⟨x, λ y, ⟨(IH _), λ ⟨a, e⟩, by rw ← e; exact
(trichotomous _ _).resolve_right
(not_or (hn a) (λ hl, not_exists.2 hn (f.init' hl)))⟩⟩
/-- Restrict the codomain of an initial segment -/
def cod_restrict (p : set β) (f : r ≼i s) (H : ∀ a, f a ∈ p) : r ≼i subrel s p :=
⟨rel_embedding.cod_restrict p f H, λ a ⟨b, m⟩ (h : s b (f a)),
let ⟨a', e⟩ := f.init' h in ⟨a', by clear _let_match; subst e; refl⟩⟩
@[simp] theorem cod_restrict_apply (p) (f : r ≼i s) (H a) : cod_restrict p f H a = ⟨f a, H a⟩ := rfl
/-- Initial segment from an empty type. -/
def of_is_empty (r : α → α → Prop) (s : β → β → Prop) [is_empty α] : r ≼i s :=
⟨rel_embedding.of_is_empty r s, is_empty_elim⟩
/-- Initial segment embedding of an order `r` into the disjoint union of `r` and `s`. -/
def le_add (r : α → α → Prop) (s : β → β → Prop) : r ≼i sum.lex r s :=
⟨⟨⟨sum.inl, λ _ _, sum.inl.inj⟩, λ a b, sum.lex_inl_inl⟩,
λ a b, by cases b; [exact λ _, ⟨_, rfl⟩, exact false.elim ∘ sum.lex_inr_inl]⟩
@[simp] theorem le_add_apply (r : α → α → Prop) (s : β → β → Prop)
(a) : le_add r s a = sum.inl a := rfl
end initial_seg
/-!
### Principal segments
Order embeddings whose range is a principal segment of `s` (i.e., an interval of the form
`(-∞, top)` for some element `top` of `β`). The type of these embeddings from `r` to `s` is called
`principal_seg r s`, and denoted by `r ≺i s`. Principal segments are in particular initial
segments.
-/
/-- If `r` is a relation on `α` and `s` in a relation on `β`, then `f : r ≺i s` is an order
embedding whose range is an open interval `(-∞, top)` for some element `top` of `β`. Such order
embeddings are called principal segments -/
@[nolint has_nonempty_instance]
structure principal_seg {α β : Type*} (r : α → α → Prop) (s : β → β → Prop) extends r ↪r s :=
(top : β)
(down' : ∀ b, s b top ↔ ∃ a, to_rel_embedding a = b)
localized "infix (name := principal_seg) ` ≺i `:25 := principal_seg" in initial_seg
namespace principal_seg
instance : has_coe (r ≺i s) (r ↪r s) := ⟨principal_seg.to_rel_embedding⟩
instance : has_coe_to_fun (r ≺i s) (λ _, α → β) := ⟨λ f, f⟩
@[simp] theorem coe_fn_mk (f : r ↪r s) (t o) :
(@principal_seg.mk _ _ r s f t o : α → β) = f := rfl
@[simp] theorem coe_fn_to_rel_embedding (f : r ≺i s) : (f.to_rel_embedding : α → β) = f := rfl
@[simp] theorem coe_coe_fn (f : r ≺i s) : ((f : r ↪r s) : α → β) = f := rfl
theorem down (f : r ≺i s) : ∀ {b : β}, s b f.top ↔ ∃ a, f a = b := f.down'
theorem lt_top (f : r ≺i s) (a : α) : s (f a) f.top := f.down.2 ⟨_, rfl⟩
theorem init [is_trans β s] (f : r ≺i s) {a : α} {b : β} (h : s b (f a)) : ∃ a', f a' = b :=
f.down.1 $ trans h $ f.lt_top _
/-- A principal segment is in particular an initial segment. -/
instance has_coe_initial_seg [is_trans β s] : has_coe (r ≺i s) (r ≼i s) :=
⟨λ f, ⟨f.to_rel_embedding, λ a b, f.init⟩⟩
theorem coe_coe_fn' [is_trans β s] (f : r ≺i s) : ((f : r ≼i s) : α → β) = f := rfl
theorem init_iff [is_trans β s] (f : r ≺i s) {a : α} {b : β} :
s b (f a) ↔ ∃ a', f a' = b ∧ r a' a :=
@initial_seg.init_iff α β r s f a b
theorem irrefl {r : α → α → Prop} [is_well_order α r] (f : r ≺i r) : false :=
begin
have := f.lt_top f.top,
rw [show f f.top = f.top, from
initial_seg.eq ↑f (initial_seg.refl r) f.top] at this,
exact irrefl _ this
end
instance (r : α → α → Prop) [is_well_order α r] : is_empty (r ≺i r) := ⟨λ f, f.irrefl⟩
/-- Composition of a principal segment with an initial segment, as a principal segment -/
def lt_le (f : r ≺i s) (g : s ≼i t) : r ≺i t :=
⟨@rel_embedding.trans _ _ _ r s t f g, g f.top, λ a,
by simp only [g.init_iff, f.down', exists_and_distrib_left.symm,
exists_swap, rel_embedding.trans_apply, exists_eq_right']; refl⟩
@[simp] theorem lt_le_apply (f : r ≺i s) (g : s ≼i t) (a : α) : (f.lt_le g) a = g (f a) :=
rel_embedding.trans_apply _ _ _
@[simp] theorem lt_le_top (f : r ≺i s) (g : s ≼i t) : (f.lt_le g).top = g f.top := rfl
/-- Composition of two principal segments as a principal segment -/
@[trans] protected def trans [is_trans γ t] (f : r ≺i s) (g : s ≺i t) : r ≺i t :=
lt_le f g
@[simp] theorem trans_apply [is_trans γ t] (f : r ≺i s) (g : s ≺i t) (a : α) :
(f.trans g) a = g (f a) :=
lt_le_apply _ _ _
@[simp] theorem trans_top [is_trans γ t] (f : r ≺i s) (g : s ≺i t) :
(f.trans g).top = g f.top := rfl
/-- Composition of an order isomorphism with a principal segment, as a principal segment -/
def equiv_lt (f : r ≃r s) (g : s ≺i t) : r ≺i t :=
⟨@rel_embedding.trans _ _ _ r s t f g, g.top, λ c,
suffices (∃ (a : β), g a = c) ↔ ∃ (a : α), g (f a) = c, by simpa [g.down],
⟨λ ⟨b, h⟩, ⟨f.symm b, by simp only [h, rel_iso.apply_symm_apply, rel_iso.coe_coe_fn]⟩,
λ ⟨a, h⟩, ⟨f a, h⟩⟩⟩
/-- Composition of a principal segment with an order isomorphism, as a principal segment -/
def lt_equiv {r : α → α → Prop} {s : β → β → Prop} {t : γ → γ → Prop}
(f : principal_seg r s) (g : s ≃r t) : principal_seg r t :=
⟨@rel_embedding.trans _ _ _ r s t f g, g f.top,
begin
intro x,
rw [← g.apply_symm_apply x, g.map_rel_iff, f.down', exists_congr],
intro y, exact ⟨congr_arg g, λ h, g.to_equiv.bijective.1 h⟩
end⟩
@[simp] theorem equiv_lt_apply (f : r ≃r s) (g : s ≺i t) (a : α) : (equiv_lt f g) a = g (f a) :=
rel_embedding.trans_apply _ _ _
@[simp] theorem equiv_lt_top (f : r ≃r s) (g : s ≺i t) : (equiv_lt f g).top = g.top := rfl
/-- Given a well order `s`, there is a most one principal segment embedding of `r` into `s`. -/
instance [is_well_order β s] : subsingleton (r ≺i s) :=
⟨λ f g, begin
have ef : (f : α → β) = g,
{ show ((f : r ≼i s) : α → β) = g,
rw @subsingleton.elim _ _ (f : r ≼i s) g, refl },
have et : f.top = g.top,
{ refine extensional_of_trichotomous_of_irrefl s (λ x, _),
simp only [f.down, g.down, ef, coe_fn_to_rel_embedding] },
cases f, cases g,
have := rel_embedding.coe_fn_injective ef; congr'
end⟩
theorem top_eq [is_well_order γ t]
(e : r ≃r s) (f : r ≺i t) (g : s ≺i t) : f.top = g.top :=
by rw subsingleton.elim f (principal_seg.equiv_lt e g); refl
lemma top_lt_top {r : α → α → Prop} {s : β → β → Prop} {t : γ → γ → Prop}
[is_well_order γ t]
(f : principal_seg r s) (g : principal_seg s t) (h : principal_seg r t) : t h.top g.top :=
by { rw [subsingleton.elim h (f.trans g)], apply principal_seg.lt_top }
/-- Any element of a well order yields a principal segment -/
def of_element {α : Type*} (r : α → α → Prop) (a : α) : subrel r {b | r b a} ≺i r :=
⟨subrel.rel_embedding _ _, a, λ b,
⟨λ h, ⟨⟨_, h⟩, rfl⟩, λ ⟨⟨_, h⟩, rfl⟩, h⟩⟩
@[simp] theorem of_element_apply {α : Type*} (r : α → α → Prop) (a : α) (b) :
of_element r a b = b.1 := rfl
@[simp] theorem of_element_top {α : Type*} (r : α → α → Prop) (a : α) :
(of_element r a).top = a := rfl
/-- Restrict the codomain of a principal segment -/
def cod_restrict (p : set β) (f : r ≺i s)
(H : ∀ a, f a ∈ p) (H₂ : f.top ∈ p) : r ≺i subrel s p :=
⟨rel_embedding.cod_restrict p f H, ⟨f.top, H₂⟩, λ ⟨b, h⟩,
f.down.trans $ exists_congr $ λ a,
show (⟨f a, H a⟩ : p).1 = _ ↔ _, from ⟨subtype.eq, congr_arg _⟩⟩
@[simp]
theorem cod_restrict_apply (p) (f : r ≺i s) (H H₂ a) : cod_restrict p f H H₂ a = ⟨f a, H a⟩ := rfl
@[simp]
theorem cod_restrict_top (p) (f : r ≺i s) (H H₂) : (cod_restrict p f H H₂).top = ⟨f.top, H₂⟩ := rfl
/-- Principal segment from an empty type into a type with a minimal element. -/
def of_is_empty (r : α → α → Prop) [is_empty α] {b : β} (H : ∀ b', ¬ s b' b) : r ≺i s :=
{ top := b,
down' := by simp [H],
..rel_embedding.of_is_empty r s }
@[simp] theorem of_is_empty_top (r : α → α → Prop) [is_empty α] {b : β} (H : ∀ b', ¬ s b' b) :
(of_is_empty r H).top = b := rfl
/-- Principal segment from the empty relation on `pempty` to the empty relation on `punit`. -/
@[reducible] def pempty_to_punit : @empty_relation pempty ≺i @empty_relation punit :=
@of_is_empty _ _ empty_relation _ _ punit.star $ λ x, not_false
end principal_seg
/-! ### Properties of initial and principal segments -/
/-- To an initial segment taking values in a well order, one can associate either a principal
segment (if the range is not everything, hence one can take as top the minimum of the complement
of the range) or an order isomorphism (if the range is everything). -/
noncomputable def initial_seg.lt_or_eq [is_well_order β s] (f : r ≼i s) : (r ≺i s) ⊕ (r ≃r s) :=
begin
by_cases h : surjective f,
{ exact sum.inr (rel_iso.of_surjective f h) },
{ have h' : _, from (initial_seg.eq_or_principal f).resolve_left h,
exact sum.inl ⟨f, classical.some h', classical.some_spec h'⟩ }
end
theorem initial_seg.lt_or_eq_apply_left [is_well_order β s]
(f : r ≼i s) (g : r ≺i s) (a : α) : g a = f a :=
@initial_seg.eq α β r s _ g f a
theorem initial_seg.lt_or_eq_apply_right [is_well_order β s]
(f : r ≼i s) (g : r ≃r s) (a : α) : g a = f a :=
initial_seg.eq (initial_seg.of_iso g) f a
/-- Composition of an initial segment taking values in a well order and a principal segment. -/
noncomputable def initial_seg.le_lt [is_well_order β s] [is_trans γ t] (f : r ≼i s) (g : s ≺i t) :
r ≺i t :=
match f.lt_or_eq with
| sum.inl f' := f'.trans g
| sum.inr f' := principal_seg.equiv_lt f' g
end
@[simp] theorem initial_seg.le_lt_apply [is_well_order β s] [is_trans γ t]
(f : r ≼i s) (g : s ≺i t) (a : α) : (f.le_lt g) a = g (f a) :=
begin
delta initial_seg.le_lt, cases h : f.lt_or_eq with f' f',
{ simp only [principal_seg.trans_apply, f.lt_or_eq_apply_left] },
{ simp only [principal_seg.equiv_lt_apply, f.lt_or_eq_apply_right] }
end
namespace rel_embedding
/-- Given an order embedding into a well order, collapse the order embedding by filling the
gaps, to obtain an initial segment. Here, we construct the collapsed order embedding pointwise,
but the proof of the fact that it is an initial segment will be given in `collapse`. -/
noncomputable def collapse_F [is_well_order β s] (f : r ↪r s) : Π a, {b // ¬ s (f a) b} :=
(rel_embedding.well_founded f $ is_well_founded.wf).fix $ λ a IH, begin
let S := {b | ∀ a h, s (IH a h).1 b},
have : f a ∈ S, from λ a' h, ((trichotomous _ _)
.resolve_left $ λ h', (IH a' h).2 $ trans (f.map_rel_iff.2 h) h')
.resolve_left $ λ h', (IH a' h).2 $ h' ▸ f.map_rel_iff.2 h,
exact ⟨is_well_founded.wf.min S ⟨_, this⟩,
is_well_founded.wf.not_lt_min _ _ this⟩
end
theorem collapse_F.lt [is_well_order β s] (f : r ↪r s) {a : α}
: ∀ {a'}, r a' a → s (collapse_F f a').1 (collapse_F f a).1 :=
show (collapse_F f a).1 ∈ {b | ∀ a' (h : r a' a), s (collapse_F f a').1 b}, begin
unfold collapse_F, rw well_founded.fix_eq,
apply well_founded.min_mem _ _
end
theorem collapse_F.not_lt [is_well_order β s] (f : r ↪r s) (a : α)
{b} (h : ∀ a' (h : r a' a), s (collapse_F f a').1 b) : ¬ s b (collapse_F f a).1 :=
begin
unfold collapse_F, rw well_founded.fix_eq,
exact well_founded.not_lt_min _ _ _
(show b ∈ {b | ∀ a' (h : r a' a), s (collapse_F f a').1 b}, from h)
end
/-- Construct an initial segment from an order embedding into a well order, by collapsing it
to fill the gaps. -/
noncomputable def collapse [is_well_order β s] (f : r ↪r s) : r ≼i s :=
by haveI := rel_embedding.is_well_order f; exact
⟨rel_embedding.of_monotone
(λ a, (collapse_F f a).1) (λ a b, collapse_F.lt f),
λ a b, acc.rec_on (is_well_founded.wf.apply b : acc s b) (λ b H IH a h, begin
let S := {a | ¬ s (collapse_F f a).1 b},
have : S.nonempty := ⟨_, asymm h⟩,
existsi (is_well_founded.wf : well_founded r).min S this,
refine ((@trichotomous _ s _ _ _).resolve_left _).resolve_right _,
{ exact (is_well_founded.wf : well_founded r).min_mem S this },
{ refine collapse_F.not_lt f _ (λ a' h', _),
by_contradiction hn,
exact is_well_founded.wf.not_lt_min S this hn h' }
end) a⟩
theorem collapse_apply [is_well_order β s] (f : r ↪r s)
(a) : collapse f a = (collapse_F f a).1 := rfl
end rel_embedding
|
a4cd109cf2985e7e1db2ddd983e86b91f63385e9 | 4d2583807a5ac6caaffd3d7a5f646d61ca85d532 | /src/number_theory/zsqrtd/basic.lean | c3971b6486a8a828411c733f702120806333b6f4 | [
"Apache-2.0"
] | permissive | AntoineChambert-Loir/mathlib | 64aabb896129885f12296a799818061bc90da1ff | 07be904260ab6e36a5769680b6012f03a4727134 | refs/heads/master | 1,693,187,631,771 | 1,636,719,886,000 | 1,636,719,886,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 31,894 | lean | /-
Copyright (c) 2017 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro
-/
import algebra.associated
import tactic.ring
/-! # ℤ[√d]
The ring of integers adjoined with a square root of `d : ℤ`.
After defining the norm, we show that it is a linearly ordered commutative ring,
as well as an integral domain.
We provide the universal property, that ring homomorphisms `ℤ√d →+* R` correspond
to choices of square roots of `d` in `R`.
-/
/-- The ring of integers adjoined with a square root of `d`.
These have the form `a + b √d` where `a b : ℤ`. The components
are called `re` and `im` by analogy to the negative `d` case. -/
structure zsqrtd (d : ℤ) :=
(re : ℤ)
(im : ℤ)
prefix `ℤ√`:100 := zsqrtd
namespace zsqrtd
section
parameters {d : ℤ}
instance : decidable_eq ℤ√d :=
by tactic.mk_dec_eq_instance
theorem ext : ∀ {z w : ℤ√d}, z = w ↔ z.re = w.re ∧ z.im = w.im
| ⟨x, y⟩ ⟨x', y'⟩ := ⟨λ h, by injection h; split; assumption,
λ ⟨h₁, h₂⟩, by congr; assumption⟩
/-- Convert an integer to a `ℤ√d` -/
def of_int (n : ℤ) : ℤ√d := ⟨n, 0⟩
theorem of_int_re (n : ℤ) : (of_int n).re = n := rfl
theorem of_int_im (n : ℤ) : (of_int n).im = 0 := rfl
/-- The zero of the ring -/
def zero : ℤ√d := of_int 0
instance : has_zero ℤ√d := ⟨zsqrtd.zero⟩
@[simp] theorem zero_re : (0 : ℤ√d).re = 0 := rfl
@[simp] theorem zero_im : (0 : ℤ√d).im = 0 := rfl
instance : inhabited ℤ√d := ⟨0⟩
/-- The one of the ring -/
def one : ℤ√d := of_int 1
instance : has_one ℤ√d := ⟨zsqrtd.one⟩
@[simp] theorem one_re : (1 : ℤ√d).re = 1 := rfl
@[simp] theorem one_im : (1 : ℤ√d).im = 0 := rfl
/-- The representative of `√d` in the ring -/
def sqrtd : ℤ√d := ⟨0, 1⟩
@[simp] theorem sqrtd_re : (sqrtd : ℤ√d).re = 0 := rfl
@[simp] theorem sqrtd_im : (sqrtd : ℤ√d).im = 1 := rfl
/-- Addition of elements of `ℤ√d` -/
def add : ℤ√d → ℤ√d → ℤ√d
| ⟨x, y⟩ ⟨x', y'⟩ := ⟨x + x', y + y'⟩
instance : has_add ℤ√d := ⟨zsqrtd.add⟩
@[simp] theorem add_def (x y x' y' : ℤ) :
(⟨x, y⟩ + ⟨x', y'⟩ : ℤ√d) = ⟨x + x', y + y'⟩ := rfl
@[simp] theorem add_re : ∀ z w : ℤ√d, (z + w).re = z.re + w.re
| ⟨x, y⟩ ⟨x', y'⟩ := rfl
@[simp] theorem add_im : ∀ z w : ℤ√d, (z + w).im = z.im + w.im
| ⟨x, y⟩ ⟨x', y'⟩ := rfl
@[simp] theorem bit0_re (z) : (bit0 z : ℤ√d).re = bit0 z.re := add_re _ _
@[simp] theorem bit0_im (z) : (bit0 z : ℤ√d).im = bit0 z.im := add_im _ _
@[simp] theorem bit1_re (z) : (bit1 z : ℤ√d).re = bit1 z.re := by simp [bit1]
@[simp] theorem bit1_im (z) : (bit1 z : ℤ√d).im = bit0 z.im := by simp [bit1]
/-- Negation in `ℤ√d` -/
def neg : ℤ√d → ℤ√d
| ⟨x, y⟩ := ⟨-x, -y⟩
instance : has_neg ℤ√d := ⟨zsqrtd.neg⟩
@[simp] theorem neg_re : ∀ z : ℤ√d, (-z).re = -z.re
| ⟨x, y⟩ := rfl
@[simp] theorem neg_im : ∀ z : ℤ√d, (-z).im = -z.im
| ⟨x, y⟩ := rfl
/-- Multiplication in `ℤ√d` -/
def mul : ℤ√d → ℤ√d → ℤ√d
| ⟨x, y⟩ ⟨x', y'⟩ := ⟨x * x' + d * y * y', x * y' + y * x'⟩
instance : has_mul ℤ√d := ⟨zsqrtd.mul⟩
@[simp] theorem mul_re : ∀ z w : ℤ√d, (z * w).re = z.re * w.re + d * z.im * w.im
| ⟨x, y⟩ ⟨x', y'⟩ := rfl
@[simp] theorem mul_im : ∀ z w : ℤ√d, (z * w).im = z.re * w.im + z.im * w.re
| ⟨x, y⟩ ⟨x', y'⟩ := rfl
instance : comm_ring ℤ√d :=
by refine_struct
{ add := (+),
zero := (0 : ℤ√d),
neg := has_neg.neg,
mul := (*),
sub := λ a b, a + -b,
one := 1,
npow := @npow_rec (ℤ√d) ⟨1⟩ ⟨(*)⟩,
nsmul := @nsmul_rec (ℤ√d) ⟨0⟩ ⟨(+)⟩,
zsmul := @zsmul_rec (ℤ√d) ⟨0⟩ ⟨(+)⟩ ⟨zsqrtd.neg⟩ };
intros; try { refl }; simp [ext, add_mul, mul_add, add_comm, add_left_comm, mul_comm, mul_left_comm]
instance : add_comm_monoid ℤ√d := by apply_instance
instance : add_monoid ℤ√d := by apply_instance
instance : monoid ℤ√d := by apply_instance
instance : comm_monoid ℤ√d := by apply_instance
instance : comm_semigroup ℤ√d := by apply_instance
instance : semigroup ℤ√d := by apply_instance
instance : add_comm_semigroup ℤ√d := by apply_instance
instance : add_semigroup ℤ√d := by apply_instance
instance : comm_semiring ℤ√d := by apply_instance
instance : semiring ℤ√d := by apply_instance
instance : ring ℤ√d := by apply_instance
instance : distrib ℤ√d := by apply_instance
/-- Conjugation in `ℤ√d`. The conjugate of `a + b √d` is `a - b √d`. -/
def conj : ℤ√d → ℤ√d
| ⟨x, y⟩ := ⟨x, -y⟩
@[simp] theorem conj_re : ∀ z : ℤ√d, (conj z).re = z.re
| ⟨x, y⟩ := rfl
@[simp] theorem conj_im : ∀ z : ℤ√d, (conj z).im = -z.im
| ⟨x, y⟩ := rfl
/-- `conj` as an `add_monoid_hom`. -/
def conj_hom : ℤ√d →+ ℤ√d :=
{ to_fun := conj,
map_add' := λ ⟨a, ai⟩ ⟨b, bi⟩, ext.mpr ⟨rfl, neg_add _ _⟩,
map_zero' := ext.mpr ⟨rfl, neg_zero⟩ }
@[simp] lemma conj_zero : conj (0 : ℤ√d) = 0 :=
conj_hom.map_zero
@[simp] lemma conj_one : conj (1 : ℤ√d) = 1 :=
by simp only [zsqrtd.ext, zsqrtd.conj_re, zsqrtd.conj_im, zsqrtd.one_im, neg_zero, eq_self_iff_true,
and_self]
@[simp] lemma conj_neg (x : ℤ√d) : (-x).conj = -x.conj :=
conj_hom.map_neg x
@[simp] lemma conj_add (x y : ℤ√d) : (x + y).conj = x.conj + y.conj :=
conj_hom.map_add x y
@[simp] lemma conj_sub (x y : ℤ√d) : (x - y).conj = x.conj - y.conj :=
conj_hom.map_sub x y
@[simp] lemma conj_conj {d : ℤ} (x : ℤ√d) : x.conj.conj = x :=
by simp only [ext, true_and, conj_re, eq_self_iff_true, neg_neg, conj_im]
instance : nontrivial ℤ√d :=
⟨⟨0, 1, dec_trivial⟩⟩
@[simp] theorem coe_nat_re (n : ℕ) : (n : ℤ√d).re = n :=
by induction n; simp *
@[simp] theorem coe_nat_im (n : ℕ) : (n : ℤ√d).im = 0 :=
by induction n; simp *
theorem coe_nat_val (n : ℕ) : (n : ℤ√d) = ⟨n, 0⟩ :=
by simp [ext]
@[simp] theorem coe_int_re (n : ℤ) : (n : ℤ√d).re = n :=
by cases n; simp [*, int.of_nat_eq_coe, int.neg_succ_of_nat_eq]
@[simp] theorem coe_int_im (n : ℤ) : (n : ℤ√d).im = 0 :=
by cases n; simp *
theorem coe_int_val (n : ℤ) : (n : ℤ√d) = ⟨n, 0⟩ :=
by simp [ext]
instance : char_zero ℤ√d :=
{ cast_injective := λ m n, by simp [ext] }
@[simp] theorem of_int_eq_coe (n : ℤ) : (of_int n : ℤ√d) = n :=
by simp [ext, of_int_re, of_int_im]
@[simp] theorem smul_val (n x y : ℤ) : (n : ℤ√d) * ⟨x, y⟩ = ⟨n * x, n * y⟩ :=
by simp [ext]
@[simp] theorem muld_val (x y : ℤ) : sqrtd * ⟨x, y⟩ = ⟨d * y, x⟩ :=
by simp [ext]
@[simp] theorem dmuld : sqrtd * sqrtd = d :=
by simp [ext]
@[simp] theorem smuld_val (n x y : ℤ) : sqrtd * (n : ℤ√d) * ⟨x, y⟩ = ⟨d * n * y, n * x⟩ :=
by simp [ext]
theorem decompose {x y : ℤ} : (⟨x, y⟩ : ℤ√d) = x + sqrtd * y :=
by simp [ext]
theorem mul_conj {x y : ℤ} : (⟨x, y⟩ * conj ⟨x, y⟩ : ℤ√d) = x * x - d * y * y :=
by simp [ext, sub_eq_add_neg, mul_comm]
theorem conj_mul {a b : ℤ√d} : conj (a * b) = conj a * conj b :=
by { simp [ext], ring }
protected lemma coe_int_add (m n : ℤ) : (↑(m + n) : ℤ√d) = ↑m + ↑n :=
(int.cast_ring_hom _).map_add _ _
protected lemma coe_int_sub (m n : ℤ) : (↑(m - n) : ℤ√d) = ↑m - ↑n :=
(int.cast_ring_hom _).map_sub _ _
protected lemma coe_int_mul (m n : ℤ) : (↑(m * n) : ℤ√d) = ↑m * ↑n :=
(int.cast_ring_hom _).map_mul _ _
protected lemma coe_int_inj {m n : ℤ} (h : (↑m : ℤ√d) = ↑n) : m = n :=
by simpa using congr_arg re h
lemma coe_int_dvd_iff {d : ℤ} (z : ℤ) (a : ℤ√d) : ↑z ∣ a ↔ z ∣ a.re ∧ z ∣ a.im :=
begin
split,
{ rintro ⟨x, rfl⟩,
simp only [add_zero, coe_int_re, zero_mul, mul_im, dvd_mul_right, and_self, mul_re, mul_zero,
coe_int_im] },
{ rintro ⟨⟨r, hr⟩, ⟨i, hi⟩⟩,
use ⟨r, i⟩,
rw [smul_val, ext],
exact ⟨hr, hi⟩ },
end
/-- Read `sq_le a c b d` as `a √c ≤ b √d` -/
def sq_le (a c b d : ℕ) : Prop := c*a*a ≤ d*b*b
theorem sq_le_of_le {c d x y z w : ℕ} (xz : z ≤ x) (yw : y ≤ w) (xy : sq_le x c y d) :
sq_le z c w d :=
le_trans (mul_le_mul (nat.mul_le_mul_left _ xz) xz (nat.zero_le _) (nat.zero_le _)) $
le_trans xy (mul_le_mul (nat.mul_le_mul_left _ yw) yw (nat.zero_le _) (nat.zero_le _))
theorem sq_le_add_mixed {c d x y z w : ℕ} (xy : sq_le x c y d) (zw : sq_le z c w d) :
c * (x * z) ≤ d * (y * w) :=
nat.mul_self_le_mul_self_iff.2 $
by simpa [mul_comm, mul_left_comm] using
mul_le_mul xy zw (nat.zero_le _) (nat.zero_le _)
theorem sq_le_add {c d x y z w : ℕ} (xy : sq_le x c y d) (zw : sq_le z c w d) :
sq_le (x + z) c (y + w) d :=
begin
have xz := sq_le_add_mixed xy zw,
simp [sq_le, mul_assoc] at xy zw,
simp [sq_le, mul_add, mul_comm, mul_left_comm, add_le_add, *]
end
theorem sq_le_cancel {c d x y z w : ℕ} (zw : sq_le y d x c) (h : sq_le (x + z) c (y + w) d) :
sq_le z c w d :=
begin
apply le_of_not_gt,
intro l,
refine not_le_of_gt _ h,
simp [sq_le, mul_add, mul_comm, mul_left_comm, add_assoc],
have hm := sq_le_add_mixed zw (le_of_lt l),
simp [sq_le, mul_assoc] at l zw,
exact lt_of_le_of_lt (add_le_add_right zw _)
(add_lt_add_left (add_lt_add_of_le_of_lt hm (add_lt_add_of_le_of_lt hm l)) _)
end
theorem sq_le_smul {c d x y : ℕ} (n : ℕ) (xy : sq_le x c y d) : sq_le (n * x) c (n * y) d :=
by simpa [sq_le, mul_left_comm, mul_assoc] using
nat.mul_le_mul_left (n * n) xy
theorem sq_le_mul {d x y z w : ℕ} :
(sq_le x 1 y d → sq_le z 1 w d → sq_le (x * w + y * z) d (x * z + d * y * w) 1) ∧
(sq_le x 1 y d → sq_le w d z 1 → sq_le (x * z + d * y * w) 1 (x * w + y * z) d) ∧
(sq_le y d x 1 → sq_le z 1 w d → sq_le (x * z + d * y * w) 1 (x * w + y * z) d) ∧
(sq_le y d x 1 → sq_le w d z 1 → sq_le (x * w + y * z) d (x * z + d * y * w) 1) :=
by refine ⟨_, _, _, _⟩; {
intros xy zw,
have := int.mul_nonneg (sub_nonneg_of_le (int.coe_nat_le_coe_nat_of_le xy))
(sub_nonneg_of_le (int.coe_nat_le_coe_nat_of_le zw)),
refine int.le_of_coe_nat_le_coe_nat (le_of_sub_nonneg _),
convert this,
simp only [one_mul, int.coe_nat_add, int.coe_nat_mul],
ring }
/-- "Generalized" `nonneg`. `nonnegg c d x y` means `a √c + b √d ≥ 0`;
we are interested in the case `c = 1` but this is more symmetric -/
def nonnegg (c d : ℕ) : ℤ → ℤ → Prop
| (a : ℕ) (b : ℕ) := true
| (a : ℕ) -[1+ b] := sq_le (b+1) c a d
| -[1+ a] (b : ℕ) := sq_le (a+1) d b c
| -[1+ a] -[1+ b] := false
theorem nonnegg_comm {c d : ℕ} {x y : ℤ} : nonnegg c d x y = nonnegg d c y x :=
by induction x; induction y; refl
theorem nonnegg_neg_pos {c d} : Π {a b : ℕ}, nonnegg c d (-a) b ↔ sq_le a d b c
| 0 b := ⟨by simp [sq_le, nat.zero_le], λa, trivial⟩
| (a+1) b := by rw ← int.neg_succ_of_nat_coe; refl
theorem nonnegg_pos_neg {c d} {a b : ℕ} : nonnegg c d a (-b) ↔ sq_le b c a d :=
by rw nonnegg_comm; exact nonnegg_neg_pos
theorem nonnegg_cases_right {c d} {a : ℕ} :
Π {b : ℤ}, (Π x : ℕ, b = -x → sq_le x c a d) → nonnegg c d a b
| (b:nat) h := trivial
| -[1+ b] h := h (b+1) rfl
theorem nonnegg_cases_left {c d} {b : ℕ} {a : ℤ} (h : Π x : ℕ, a = -x → sq_le x d b c) :
nonnegg c d a b :=
cast nonnegg_comm (nonnegg_cases_right h)
section norm
def norm (n : ℤ√d) : ℤ := n.re * n.re - d * n.im * n.im
lemma norm_def (n : ℤ√d) : n.norm = n.re * n.re - d * n.im * n.im := rfl
@[simp] lemma norm_zero : norm 0 = 0 := by simp [norm]
@[simp] lemma norm_one : norm 1 = 1 := by simp [norm]
@[simp] lemma norm_int_cast (n : ℤ) : norm n = n * n := by simp [norm]
@[simp] lemma norm_nat_cast (n : ℕ) : norm n = n * n := norm_int_cast n
@[simp] lemma norm_mul (n m : ℤ√d) : norm (n * m) = norm n * norm m :=
by { simp only [norm, mul_im, mul_re], ring }
/-- `norm` as a `monoid_hom`. -/
def norm_monoid_hom : ℤ√d →* ℤ :=
{ to_fun := norm,
map_mul' := norm_mul,
map_one' := norm_one }
lemma norm_eq_mul_conj (n : ℤ√d) : (norm n : ℤ√d) = n * n.conj :=
by cases n; simp [norm, conj, zsqrtd.ext, mul_comm, sub_eq_add_neg]
@[simp] lemma norm_neg (x : ℤ√d) : (-x).norm = x.norm :=
coe_int_inj $ by simp only [norm_eq_mul_conj, conj_neg, neg_mul_eq_neg_mul_symm,
mul_neg_eq_neg_mul_symm, neg_neg]
@[simp] lemma norm_conj (x : ℤ√d) : x.conj.norm = x.norm :=
coe_int_inj $ by simp only [norm_eq_mul_conj, conj_conj, mul_comm]
lemma norm_nonneg (hd : d ≤ 0) (n : ℤ√d) : 0 ≤ n.norm :=
add_nonneg (mul_self_nonneg _)
(by rw [mul_assoc, neg_mul_eq_neg_mul];
exact (mul_nonneg (neg_nonneg.2 hd) (mul_self_nonneg _)))
lemma norm_eq_one_iff {x : ℤ√d} : x.norm.nat_abs = 1 ↔ is_unit x :=
⟨λ h, is_unit_iff_dvd_one.2 $
(le_total 0 (norm x)).cases_on
(λ hx, show x ∣ 1, from ⟨x.conj,
by rwa [← int.coe_nat_inj', int.nat_abs_of_nonneg hx,
← @int.cast_inj (ℤ√d) _ _, norm_eq_mul_conj, eq_comm] at h⟩)
(λ hx, show x ∣ 1, from ⟨- x.conj,
by rwa [← int.coe_nat_inj', int.of_nat_nat_abs_of_nonpos hx,
← @int.cast_inj (ℤ√d) _ _, int.cast_neg, norm_eq_mul_conj, neg_mul_eq_mul_neg,
eq_comm] at h⟩),
λ h, let ⟨y, hy⟩ := is_unit_iff_dvd_one.1 h in begin
have := congr_arg (int.nat_abs ∘ norm) hy,
rw [function.comp_app, function.comp_app, norm_mul, int.nat_abs_mul,
norm_one, int.nat_abs_one, eq_comm, nat.mul_eq_one_iff] at this,
exact this.1
end⟩
lemma is_unit_iff_norm_is_unit {d : ℤ} (z : ℤ√d) : is_unit z ↔ is_unit z.norm :=
by rw [int.is_unit_iff_nat_abs_eq, norm_eq_one_iff]
lemma norm_eq_one_iff' {d : ℤ} (hd : d ≤ 0) (z : ℤ√d) : z.norm = 1 ↔ is_unit z :=
by rw [←norm_eq_one_iff, ←int.coe_nat_inj', int.nat_abs_of_nonneg (norm_nonneg hd z),
int.coe_nat_one]
lemma norm_eq_zero_iff {d : ℤ} (hd : d < 0) (z : ℤ√d) : z.norm = 0 ↔ z = 0 :=
begin
split,
{ intro h,
rw [ext, zero_re, zero_im],
rw [norm_def, sub_eq_add_neg, mul_assoc] at h,
have left := mul_self_nonneg z.re,
have right := neg_nonneg.mpr (mul_nonpos_of_nonpos_of_nonneg hd.le (mul_self_nonneg z.im)),
obtain ⟨ha, hb⟩ := (add_eq_zero_iff' left right).mp h,
split; apply eq_zero_of_mul_self_eq_zero,
{ exact ha },
{ rw [neg_eq_zero, mul_eq_zero] at hb,
exact hb.resolve_left hd.ne } },
{ rintro rfl, exact norm_zero }
end
lemma norm_eq_of_associated {d : ℤ} (hd : d ≤ 0) {x y : ℤ√d} (h : associated x y) :
x.norm = y.norm :=
begin
obtain ⟨u, rfl⟩ := h,
rw [norm_mul, (norm_eq_one_iff' hd _).mpr u.is_unit, mul_one],
end
end norm
end
section
parameter {d : ℕ}
/-- Nonnegativity of an element of `ℤ√d`. -/
def nonneg : ℤ√d → Prop | ⟨a, b⟩ := nonnegg d 1 a b
protected def le (a b : ℤ√d) : Prop := nonneg (b - a)
instance : has_le ℤ√d := ⟨zsqrtd.le⟩
protected def lt (a b : ℤ√d) : Prop := ¬(b ≤ a)
instance : has_lt ℤ√d := ⟨zsqrtd.lt⟩
instance decidable_nonnegg (c d a b) : decidable (nonnegg c d a b) :=
by cases a; cases b; repeat {rw int.of_nat_eq_coe}; unfold nonnegg sq_le; apply_instance
instance decidable_nonneg : Π (a : ℤ√d), decidable (nonneg a)
| ⟨a, b⟩ := zsqrtd.decidable_nonnegg _ _ _ _
instance decidable_le (a b : ℤ√d) : decidable (a ≤ b) := decidable_nonneg _
theorem nonneg_cases : Π {a : ℤ√d}, nonneg a → ∃ x y : ℕ, a = ⟨x, y⟩ ∨ a = ⟨x, -y⟩ ∨ a = ⟨-x, y⟩
| ⟨(x : ℕ), (y : ℕ)⟩ h := ⟨x, y, or.inl rfl⟩
| ⟨(x : ℕ), -[1+ y]⟩ h := ⟨x, y+1, or.inr $ or.inl rfl⟩
| ⟨-[1+ x], (y : ℕ)⟩ h := ⟨x+1, y, or.inr $ or.inr rfl⟩
| ⟨-[1+ x], -[1+ y]⟩ h := false.elim h
lemma nonneg_add_lem {x y z w : ℕ} (xy : nonneg ⟨x, -y⟩) (zw : nonneg ⟨-z, w⟩) :
nonneg (⟨x, -y⟩ + ⟨-z, w⟩) :=
have nonneg ⟨int.sub_nat_nat x z, int.sub_nat_nat w y⟩, from int.sub_nat_nat_elim x z
(λm n i, sq_le y d m 1 → sq_le n 1 w d → nonneg ⟨i, int.sub_nat_nat w y⟩)
(λj k, int.sub_nat_nat_elim w y
(λm n i, sq_le n d (k + j) 1 → sq_le k 1 m d → nonneg ⟨int.of_nat j, i⟩)
(λm n xy zw, trivial)
(λm n xy zw, sq_le_cancel zw xy))
(λj k, int.sub_nat_nat_elim w y
(λm n i, sq_le n d k 1 → sq_le (k + j + 1) 1 m d → nonneg ⟨-[1+ j], i⟩)
(λm n xy zw, sq_le_cancel xy zw)
(λm n xy zw, let t := nat.le_trans zw (sq_le_of_le (nat.le_add_right n (m+1)) (le_refl _) xy) in
have k + j + 1 ≤ k, from nat.mul_self_le_mul_self_iff.2 (by repeat{rw one_mul at t}; exact t),
absurd this (not_le_of_gt $ nat.succ_le_succ $ nat.le_add_right _ _))) (nonnegg_pos_neg.1 xy)
(nonnegg_neg_pos.1 zw),
show nonneg ⟨_, _⟩, by rw [neg_add_eq_sub];
rwa [int.sub_nat_nat_eq_coe,int.sub_nat_nat_eq_coe] at this
theorem nonneg_add {a b : ℤ√d} (ha : nonneg a) (hb : nonneg b) : nonneg (a + b) :=
begin
rcases nonneg_cases ha with ⟨x, y, rfl|rfl|rfl⟩;
rcases nonneg_cases hb with ⟨z, w, rfl|rfl|rfl⟩; dsimp [add, nonneg] at ha hb ⊢,
{ trivial },
{ refine nonnegg_cases_right (λi h, sq_le_of_le _ _ (nonnegg_pos_neg.1 hb)),
{ exact int.coe_nat_le.1 (le_of_neg_le_neg (@int.le.intro _ _ y (by simp [add_comm, *]))) },
{ apply nat.le_add_left } },
{ refine nonnegg_cases_left (λi h, sq_le_of_le _ _ (nonnegg_neg_pos.1 hb)),
{ exact int.coe_nat_le.1 (le_of_neg_le_neg (@int.le.intro _ _ x (by simp [add_comm, *]))) },
{ apply nat.le_add_left } },
{ refine nonnegg_cases_right (λi h, sq_le_of_le _ _ (nonnegg_pos_neg.1 ha)),
{ exact int.coe_nat_le.1 (le_of_neg_le_neg (@int.le.intro _ _ w (by simp *))) },
{ apply nat.le_add_right } },
{ simpa [add_comm] using
nonnegg_pos_neg.2 (sq_le_add (nonnegg_pos_neg.1 ha) (nonnegg_pos_neg.1 hb)) },
{ exact nonneg_add_lem ha hb },
{ refine nonnegg_cases_left (λi h, sq_le_of_le _ _ (nonnegg_neg_pos.1 ha)),
{ exact int.coe_nat_le.1 (le_of_neg_le_neg (int.le.intro h)) },
{ apply nat.le_add_right } },
{ rw [add_comm, add_comm ↑y], exact nonneg_add_lem hb ha },
{ simpa [add_comm] using
nonnegg_neg_pos.2 (sq_le_add (nonnegg_neg_pos.1 ha) (nonnegg_neg_pos.1 hb)) },
end
theorem le_refl (a : ℤ√d) : a ≤ a := show nonneg (a - a), by simp
protected theorem le_trans {a b c : ℤ√d} (ab : a ≤ b) (bc : b ≤ c) : a ≤ c :=
have nonneg (b - a + (c - b)), from nonneg_add ab bc,
by simpa [sub_add_sub_cancel']
theorem nonneg_iff_zero_le {a : ℤ√d} : nonneg a ↔ 0 ≤ a := show _ ↔ nonneg _, by simp
theorem le_of_le_le {x y z w : ℤ} (xz : x ≤ z) (yw : y ≤ w) : (⟨x, y⟩ : ℤ√d) ≤ ⟨z, w⟩ :=
show nonneg ⟨z - x, w - y⟩, from
match z - x, w - y, int.le.dest_sub xz, int.le.dest_sub yw with ._, ._, ⟨a, rfl⟩, ⟨b, rfl⟩ :=
trivial end
theorem le_arch (a : ℤ√d) : ∃n : ℕ, a ≤ n :=
let ⟨x, y, (h : a ≤ ⟨x, y⟩)⟩ := show ∃x y : ℕ, nonneg (⟨x, y⟩ + -a), from match -a with
| ⟨int.of_nat x, int.of_nat y⟩ := ⟨0, 0, trivial⟩
| ⟨int.of_nat x, -[1+ y]⟩ := ⟨0, y+1, by simp [int.neg_succ_of_nat_coe, add_assoc]⟩
| ⟨-[1+ x], int.of_nat y⟩ := ⟨x+1, 0, by simp [int.neg_succ_of_nat_coe, add_assoc]⟩
| ⟨-[1+ x], -[1+ y]⟩ := ⟨x+1, y+1, by simp [int.neg_succ_of_nat_coe, add_assoc]⟩
end in begin
refine ⟨x + d*y, zsqrtd.le_trans h _⟩,
rw [← int.cast_coe_nat, ← of_int_eq_coe],
change nonneg ⟨(↑x + d*y) - ↑x, 0-↑y⟩,
cases y with y,
{ simp },
have h : ∀y, sq_le y d (d * y) 1 := λ y,
by simpa [sq_le, mul_comm, mul_left_comm] using
nat.mul_le_mul_right (y * y) (nat.le_mul_self d),
rw [show (x:ℤ) + d * nat.succ y - x = d * nat.succ y, by simp],
exact h (y+1)
end
protected theorem nonneg_total : Π (a : ℤ√d), nonneg a ∨ nonneg (-a)
| ⟨(x : ℕ), (y : ℕ)⟩ := or.inl trivial
| ⟨-[1+ x], -[1+ y]⟩ := or.inr trivial
| ⟨0, -[1+ y]⟩ := or.inr trivial
| ⟨-[1+ x], 0⟩ := or.inr trivial
| ⟨(x+1:ℕ), -[1+ y]⟩ := nat.le_total
| ⟨-[1+ x], (y+1:ℕ)⟩ := nat.le_total
protected theorem le_total (a b : ℤ√d) : a ≤ b ∨ b ≤ a :=
let t := nonneg_total (b - a) in by rw [show -(b-a) = a-b, from neg_sub b a] at t; exact t
instance : preorder ℤ√d :=
{ le := zsqrtd.le,
le_refl := zsqrtd.le_refl,
le_trans := @zsqrtd.le_trans,
lt := zsqrtd.lt,
lt_iff_le_not_le := λ a b,
(and_iff_right_of_imp (zsqrtd.le_total _ _).resolve_left).symm }
protected theorem add_le_add_left (a b : ℤ√d) (ab : a ≤ b) (c : ℤ√d) : c + a ≤ c + b :=
show nonneg _, by rw add_sub_add_left_eq_sub; exact ab
protected theorem le_of_add_le_add_left (a b c : ℤ√d) (h : c + a ≤ c + b) : a ≤ b :=
by simpa using zsqrtd.add_le_add_left _ _ h (-c)
protected theorem add_lt_add_left (a b : ℤ√d) (h : a < b) (c) : c + a < c + b :=
λ h', h (zsqrtd.le_of_add_le_add_left _ _ _ h')
theorem nonneg_smul {a : ℤ√d} {n : ℕ} (ha : nonneg a) : nonneg (n * a) :=
by rw ← int.cast_coe_nat; exact match a, nonneg_cases ha, ha with
| ._, ⟨x, y, or.inl rfl⟩, ha := by rw smul_val; trivial
| ._, ⟨x, y, or.inr $ or.inl rfl⟩, ha := by rw smul_val; simpa using
nonnegg_pos_neg.2 (sq_le_smul n $ nonnegg_pos_neg.1 ha)
| ._, ⟨x, y, or.inr $ or.inr rfl⟩, ha := by rw smul_val; simpa using
nonnegg_neg_pos.2 (sq_le_smul n $ nonnegg_neg_pos.1 ha)
end
theorem nonneg_muld {a : ℤ√d} (ha : nonneg a) : nonneg (sqrtd * a) :=
by refine match a, nonneg_cases ha, ha with
| ._, ⟨x, y, or.inl rfl⟩, ha := trivial
| ._, ⟨x, y, or.inr $ or.inl rfl⟩, ha := by simp; apply nonnegg_neg_pos.2;
simpa [sq_le, mul_comm, mul_left_comm] using
nat.mul_le_mul_left d (nonnegg_pos_neg.1 ha)
| ._, ⟨x, y, or.inr $ or.inr rfl⟩, ha := by simp; apply nonnegg_pos_neg.2;
simpa [sq_le, mul_comm, mul_left_comm] using
nat.mul_le_mul_left d (nonnegg_neg_pos.1 ha)
end
theorem nonneg_mul_lem {x y : ℕ} {a : ℤ√d} (ha : nonneg a) : nonneg (⟨x, y⟩ * a) :=
have (⟨x, y⟩ * a : ℤ√d) = x * a + sqrtd * (y * a), by rw [decompose, right_distrib, mul_assoc];
refl,
by rw this; exact nonneg_add (nonneg_smul ha) (nonneg_muld $ nonneg_smul ha)
theorem nonneg_mul {a b : ℤ√d} (ha : nonneg a) (hb : nonneg b) : nonneg (a * b) :=
match a, b, nonneg_cases ha, nonneg_cases hb, ha, hb with
| ._, ._, ⟨x, y, or.inl rfl⟩, ⟨z, w, or.inl rfl⟩, ha, hb := trivial
| ._, ._, ⟨x, y, or.inl rfl⟩, ⟨z, w, or.inr $ or.inr rfl⟩, ha, hb := nonneg_mul_lem hb
| ._, ._, ⟨x, y, or.inl rfl⟩, ⟨z, w, or.inr $ or.inl rfl⟩, ha, hb := nonneg_mul_lem hb
| ._, ._, ⟨x, y, or.inr $ or.inr rfl⟩, ⟨z, w, or.inl rfl⟩, ha, hb :=
by rw mul_comm; exact nonneg_mul_lem ha
| ._, ._, ⟨x, y, or.inr $ or.inl rfl⟩, ⟨z, w, or.inl rfl⟩, ha, hb :=
by rw mul_comm; exact nonneg_mul_lem ha
| ._, ._, ⟨x, y, or.inr $ or.inr rfl⟩, ⟨z, w, or.inr $ or.inr rfl⟩, ha, hb :=
by rw [calc (⟨-x, y⟩ * ⟨-z, w⟩ : ℤ√d) = ⟨_, _⟩ : rfl
... = ⟨x * z + d * y * w, -(x * w + y * z)⟩ : by simp [add_comm]]; exact
nonnegg_pos_neg.2 (sq_le_mul.left (nonnegg_neg_pos.1 ha) (nonnegg_neg_pos.1 hb))
| ._, ._, ⟨x, y, or.inr $ or.inr rfl⟩, ⟨z, w, or.inr $ or.inl rfl⟩, ha, hb :=
by rw [calc (⟨-x, y⟩ * ⟨z, -w⟩ : ℤ√d) = ⟨_, _⟩ : rfl
... = ⟨-(x * z + d * y * w), x * w + y * z⟩ : by simp [add_comm]]; exact
nonnegg_neg_pos.2 (sq_le_mul.right.left (nonnegg_neg_pos.1 ha) (nonnegg_pos_neg.1 hb))
| ._, ._, ⟨x, y, or.inr $ or.inl rfl⟩, ⟨z, w, or.inr $ or.inr rfl⟩, ha, hb :=
by rw [calc (⟨x, -y⟩ * ⟨-z, w⟩ : ℤ√d) = ⟨_, _⟩ : rfl
... = ⟨-(x * z + d * y * w), x * w + y * z⟩ : by simp [add_comm]]; exact
nonnegg_neg_pos.2 (sq_le_mul.right.right.left (nonnegg_pos_neg.1 ha) (nonnegg_neg_pos.1 hb))
| ._, ._, ⟨x, y, or.inr $ or.inl rfl⟩, ⟨z, w, or.inr $ or.inl rfl⟩, ha, hb :=
by rw [calc (⟨x, -y⟩ * ⟨z, -w⟩ : ℤ√d) = ⟨_, _⟩ : rfl
... = ⟨x * z + d * y * w, -(x * w + y * z)⟩ : by simp [add_comm]]; exact
nonnegg_pos_neg.2 (sq_le_mul.right.right.right (nonnegg_pos_neg.1 ha) (nonnegg_pos_neg.1 hb))
end
protected theorem mul_nonneg (a b : ℤ√d) : 0 ≤ a → 0 ≤ b → 0 ≤ a * b :=
by repeat {rw ← nonneg_iff_zero_le}; exact nonneg_mul
theorem not_sq_le_succ (c d y) (h : 0 < c) : ¬sq_le (y + 1) c 0 d :=
not_le_of_gt $ mul_pos (mul_pos h $ nat.succ_pos _) $ nat.succ_pos _
/-- A nonsquare is a natural number that is not equal to the square of an
integer. This is implemented as a typeclass because it's a necessary condition
for much of the Pell equation theory. -/
class nonsquare (x : ℕ) : Prop := (ns [] : ∀n : ℕ, x ≠ n*n)
parameter [dnsq : nonsquare d]
include dnsq
theorem d_pos : 0 < d := lt_of_le_of_ne (nat.zero_le _) $ ne.symm $ (nonsquare.ns d 0)
theorem divides_sq_eq_zero {x y} (h : x * x = d * y * y) : x = 0 ∧ y = 0 :=
let g := x.gcd y in or.elim g.eq_zero_or_pos
(λH, ⟨nat.eq_zero_of_gcd_eq_zero_left H, nat.eq_zero_of_gcd_eq_zero_right H⟩)
(λgpos, false.elim $
let ⟨m, n, co, (hx : x = m * g), (hy : y = n * g)⟩ := nat.exists_coprime gpos in
begin
rw [hx, hy] at h,
have : m * m = d * (n * n) := nat.eq_of_mul_eq_mul_left (mul_pos gpos gpos)
(by simpa [mul_comm, mul_left_comm] using h),
have co2 := let co1 := co.mul_right co in co1.mul co1,
exact nonsquare.ns d m (nat.dvd_antisymm (by rw this; apply dvd_mul_right) $
co2.dvd_of_dvd_mul_right $ by simp [this])
end)
theorem divides_sq_eq_zero_z {x y : ℤ} (h : x * x = d * y * y) : x = 0 ∧ y = 0 :=
by rw [mul_assoc, ← int.nat_abs_mul_self, ← int.nat_abs_mul_self, ← int.coe_nat_mul, ← mul_assoc]
at h;
exact let ⟨h1, h2⟩ := divides_sq_eq_zero (int.coe_nat_inj h) in
⟨int.eq_zero_of_nat_abs_eq_zero h1, int.eq_zero_of_nat_abs_eq_zero h2⟩
theorem not_divides_sq (x y) : (x + 1) * (x + 1) ≠ d * (y + 1) * (y + 1) :=
λe, by have t := (divides_sq_eq_zero e).left; contradiction
theorem nonneg_antisymm : Π {a : ℤ√d}, nonneg a → nonneg (-a) → a = 0
| ⟨0, 0⟩ xy yx := rfl
| ⟨-[1+ x], -[1+ y]⟩ xy yx := false.elim xy
| ⟨(x+1:nat), (y+1:nat)⟩ xy yx := false.elim yx
| ⟨-[1+ x], 0⟩ xy yx := absurd xy (not_sq_le_succ _ _ _ dec_trivial)
| ⟨(x+1:nat), 0⟩ xy yx := absurd yx (not_sq_le_succ _ _ _ dec_trivial)
| ⟨0, -[1+ y]⟩ xy yx := absurd xy (not_sq_le_succ _ _ _ d_pos)
| ⟨0, (y+1:nat)⟩ _ yx := absurd yx (not_sq_le_succ _ _ _ d_pos)
| ⟨(x+1:nat), -[1+ y]⟩ (xy : sq_le _ _ _ _) (yx : sq_le _ _ _ _) :=
let t := le_antisymm yx xy in by rw[one_mul] at t; exact absurd t (not_divides_sq _ _)
| ⟨-[1+ x], (y+1:nat)⟩ (xy : sq_le _ _ _ _) (yx : sq_le _ _ _ _) :=
let t := le_antisymm xy yx in by rw[one_mul] at t; exact absurd t (not_divides_sq _ _)
theorem le_antisymm {a b : ℤ√d} (ab : a ≤ b) (ba : b ≤ a) : a = b :=
eq_of_sub_eq_zero $ nonneg_antisymm ba (by rw neg_sub; exact ab)
instance : linear_order ℤ√d :=
{ le_antisymm := @zsqrtd.le_antisymm,
le_total := zsqrtd.le_total,
decidable_le := zsqrtd.decidable_le,
..zsqrtd.preorder }
protected theorem eq_zero_or_eq_zero_of_mul_eq_zero : Π {a b : ℤ√d}, a * b = 0 → a = 0 ∨ b = 0
| ⟨x, y⟩ ⟨z, w⟩ h := by injection h with h1 h2; exact
have h1 : x*z = -(d*y*w), from eq_neg_of_add_eq_zero h1,
have h2 : x*w = -(y*z), from eq_neg_of_add_eq_zero h2,
have fin : x*x = d*y*y → (⟨x, y⟩:ℤ√d) = 0, from
λe, match x, y, divides_sq_eq_zero_z e with ._, ._, ⟨rfl, rfl⟩ := rfl end,
if z0 : z = 0 then if w0 : w = 0 then
or.inr (match z, w, z0, w0 with ._, ._, rfl, rfl := rfl end)
else
or.inl $ fin $ mul_right_cancel₀ w0 $ calc
x * x * w = -y * (x * z) : by simp [h2, mul_assoc, mul_left_comm]
... = d * y * y * w : by simp [h1, mul_assoc, mul_left_comm]
else
or.inl $ fin $ mul_right_cancel₀ z0 $ calc
x * x * z = d * -y * (x * w) : by simp [h1, mul_assoc, mul_left_comm]
... = d * y * y * z : by simp [h2, mul_assoc, mul_left_comm]
instance : is_domain ℤ√d :=
{ eq_zero_or_eq_zero_of_mul_eq_zero := @zsqrtd.eq_zero_or_eq_zero_of_mul_eq_zero,
.. zsqrtd.comm_ring, .. zsqrtd.nontrivial }
protected theorem mul_pos (a b : ℤ√d) (a0 : 0 < a) (b0 : 0 < b) : 0 < a * b := λab,
or.elim (eq_zero_or_eq_zero_of_mul_eq_zero
(le_antisymm ab (mul_nonneg _ _ (le_of_lt a0) (le_of_lt b0))))
(λe, ne_of_gt a0 e)
(λe, ne_of_gt b0 e)
instance : linear_ordered_comm_ring ℤ√d :=
{ add_le_add_left := @zsqrtd.add_le_add_left,
mul_pos := @zsqrtd.mul_pos,
zero_le_one := dec_trivial,
.. zsqrtd.comm_ring, .. zsqrtd.linear_order, .. zsqrtd.nontrivial }
instance : linear_ordered_ring ℤ√d := by apply_instance
instance : ordered_ring ℤ√d := by apply_instance
end
lemma norm_eq_zero {d : ℤ} (h_nonsquare : ∀ n : ℤ, d ≠ n*n) (a : ℤ√d) :
norm a = 0 ↔ a = 0 :=
begin
refine ⟨λ ha, ext.mpr _, λ h, by rw [h, norm_zero]⟩,
delta norm at ha,
rw sub_eq_zero at ha,
by_cases h : 0 ≤ d,
{ obtain ⟨d', rfl⟩ := int.eq_coe_of_zero_le h,
haveI : nonsquare d' := ⟨λ n h, h_nonsquare n $ by exact_mod_cast h⟩,
exact divides_sq_eq_zero_z ha, },
{ push_neg at h,
suffices : a.re * a.re = 0,
{ rw eq_zero_of_mul_self_eq_zero this at ha ⊢,
simpa only [true_and, or_self_right, zero_re, zero_im, eq_self_iff_true,
zero_eq_mul, mul_zero, mul_eq_zero, h.ne, false_or, or_self] using ha },
apply _root_.le_antisymm _ (mul_self_nonneg _),
rw [ha, mul_assoc],
exact mul_nonpos_of_nonpos_of_nonneg h.le (mul_self_nonneg _) }
end
variables {R : Type} [comm_ring R]
@[ext] lemma hom_ext {d : ℤ} (f g : ℤ√d →+* R) (h : f sqrtd = g sqrtd) : f = g :=
begin
ext ⟨x_re, x_im⟩,
simp [decompose, h],
end
/-- The unique `ring_hom` from `ℤ√d` to a ring `R`, constructed by replacing `√d` with the provided
root. Conversely, this associates to every mapping `ℤ√d →+* R` a value of `√d` in `R`. -/
@[simps]
def lift {d : ℤ} : {r : R // r * r = ↑d} ≃ (ℤ√d →+* R) :=
{ to_fun := λ r,
{ to_fun := λ a, a.1 + a.2*(r : R),
map_zero' := by simp,
map_add' := λ a b, by { simp, ring, },
map_one' := by simp,
map_mul' := λ a b, by {
have : (a.re + a.im * r : R) * (b.re + b.im * r) =
a.re * b.re + (a.re * b.im + a.im * b.re) * r + a.im * b.im * (r * r) := by ring,
simp [this, r.prop],
ring, } },
inv_fun := λ f, ⟨f sqrtd, by rw [←f.map_mul, dmuld, ring_hom.map_int_cast]⟩,
left_inv := λ r, by { ext, simp },
right_inv := λ f, by { ext, simp } }
/-- `lift r` is injective if `d` is non-square, and R has characteristic zero (that is, the map from
`ℤ` into `R` is injective). -/
lemma lift_injective [char_zero R] {d : ℤ} (r : {r : R // r * r = ↑d}) (hd : ∀ n : ℤ, d ≠ n*n) :
function.injective (lift r) :=
(lift r).injective_iff.mpr $ λ a ha,
begin
have h_inj : function.injective (coe : ℤ → R) := int.cast_injective,
suffices : lift r a.norm = 0,
{ simp only [coe_int_re, add_zero, lift_apply_apply, coe_int_im, int.cast_zero, zero_mul] at this,
rwa [← int.cast_zero, h_inj.eq_iff, norm_eq_zero hd] at this },
rw [norm_eq_mul_conj, ring_hom.map_mul, ha, zero_mul]
end
end zsqrtd
|
adda890818addf40a8275a002abf455ef94897d5 | 9dd3f3912f7321eb58ee9aa8f21778ad6221f87c | /tests/lean/run/struct_value.lean | 477a77ce4c536a2c7cce4ba15e8b0479b44782dc | [
"Apache-2.0"
] | permissive | bre7k30/lean | de893411bcfa7b3c5572e61b9e1c52951b310aa4 | 5a924699d076dab1bd5af23a8f910b433e598d7a | refs/heads/master | 1,610,900,145,817 | 1,488,006,845,000 | 1,488,006,845,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 747 | lean | check { prod . fst := 10, snd := 20 }
check ({ fst := 10, snd := 20 } : nat × nat)
definition p : nat × nat :=
{ snd := 20, fst := 10 }
print p
definition attr : user_attribute :=
{ name := `foo, descr := "hello world" }
print attr
definition p2 :=
{ p with fst := 20 }
print p2
structure point :=
(x : nat) (y : nat)
structure point3d extends point :=
(z : nat)
definition p1 : point := { x := 1, y := 1 }
definition p3 : point3d := { p1 with z := 10 }
print p3
check { point3d . x := 1, y := 2, z := 3 }
check (⟨10, rfl⟩ : Σ' x : nat, x = x)
check ((| 10, rfl |) : Σ' x : nat, x = x)
check ({ fst := 10, snd := rfl } : Σ' x : nat, x = x)
definition f (a : nat) : Σ' x : nat, x = x :=
{ fst := a, snd := rfl }
print f
|
7438ef99e9da32bfe6067d8fa3e8f66162f54332 | 74addaa0e41490cbaf2abd313a764c96df57b05d | /Mathlib/data/option/defs_auto.lean | 8091e503ba4396dfdbee5db3db7782ca281b0d2b | [] | no_license | AurelienSaue/Mathlib4_auto | f538cfd0980f65a6361eadea39e6fc639e9dae14 | 590df64109b08190abe22358fabc3eae000943f2 | refs/heads/master | 1,683,906,849,776 | 1,622,564,669,000 | 1,622,564,669,000 | 371,723,747 | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 7,514 | lean | /-
Copyright (c) 2018 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro
Extra definitions on option.
-/
import Mathlib.PrePort
import Mathlib.Lean3Lib.init.default
import Mathlib.PostPort
universes u_1 u_2 u v w
namespace Mathlib
namespace option
/-- An elimination principle for `option`. It is a nondependent version of `option.rec_on`. -/
@[simp] protected def elim {α : Type u_1} {β : Type u_2} : Option α → β → (α → β) → β := sorry
protected instance has_mem {α : Type u_1} : has_mem α (Option α) :=
has_mem.mk fun (a : α) (b : Option α) => b = some a
@[simp] theorem mem_def {α : Type u_1} {a : α} {b : Option α} : a ∈ b ↔ b = some a := iff.rfl
theorem is_none_iff_eq_none {α : Type u_1} {o : Option α} : is_none o = tt ↔ o = none :=
{ mp := eq_none_of_is_none, mpr := fun (e : o = none) => Eq.symm e ▸ rfl }
theorem some_inj {α : Type u_1} {a : α} {b : α} : some a = some b ↔ a = b := sorry
/--
`o = none` is decidable even if the wrapped type does not have decidable equality.
This is not an instance because it is not definitionally equal to `option.decidable_eq`.
Try to use `o.is_none` or `o.is_some` instead.
-/
def decidable_eq_none {α : Type u_1} {o : Option α} : Decidable (o = none) :=
decidable_of_decidable_of_iff (bool.decidable_eq (is_none o) tt) is_none_iff_eq_none
protected instance decidable_forall_mem {α : Type u_1} {p : α → Prop} [decidable_pred p]
(o : Option α) : Decidable (∀ (a : α), a ∈ o → p a) :=
sorry
protected instance decidable_exists_mem {α : Type u_1} {p : α → Prop} [decidable_pred p]
(o : Option α) : Decidable (∃ (a : α), ∃ (H : a ∈ o), p a) :=
sorry
/-- inhabited `get` function. Returns `a` if the input is `some a`,
otherwise returns `default`. -/
def iget {α : Type u_1} [Inhabited α] : Option α → α := sorry
@[simp] theorem iget_some {α : Type u_1} [Inhabited α] {a : α} : iget (some a) = a := rfl
/-- `guard p a` returns `some a` if `p a` holds, otherwise `none`. -/
def guard {α : Type u_1} (p : α → Prop) [decidable_pred p] (a : α) : Option α :=
ite (p a) (some a) none
/-- `filter p o` returns `some a` if `o` is `some a`
and `p a` holds, otherwise `none`. -/
def filter {α : Type u_1} (p : α → Prop) [decidable_pred p] (o : Option α) : Option α :=
option.bind o (guard p)
def to_list {α : Type u_1} : Option α → List α := sorry
@[simp] theorem mem_to_list {α : Type u_1} {a : α} {o : Option α} : a ∈ to_list o ↔ a ∈ o := sorry
def lift_or_get {α : Type u_1} (f : α → α → α) : Option α → Option α → Option α := sorry
protected instance lift_or_get_comm {α : Type u_1} (f : α → α → α) [h : is_commutative α f] :
is_commutative (Option α) (lift_or_get f) :=
sorry
protected instance lift_or_get_assoc {α : Type u_1} (f : α → α → α) [h : is_associative α f] :
is_associative (Option α) (lift_or_get f) :=
sorry
protected instance lift_or_get_idem {α : Type u_1} (f : α → α → α) [h : is_idempotent α f] :
is_idempotent (Option α) (lift_or_get f) :=
sorry
protected instance lift_or_get_is_left_id {α : Type u_1} (f : α → α → α) :
is_left_id (Option α) (lift_or_get f) none :=
is_left_id.mk
fun (a : Option α) =>
option.cases_on a
(eq.mpr
(id
(Eq.trans
((fun (a a_1 : Option α) (e_1 : a = a_1) (ᾰ ᾰ_1 : Option α) (e_2 : ᾰ = ᾰ_1) =>
congr (congr_arg Eq e_1) e_2)
(lift_or_get f none none) none (lift_or_get.equations._eqn_1 f) none none
(Eq.refl none))
(propext (eq_self_iff_true none))))
trivial)
fun (a : α) =>
eq.mpr
(id
(Eq.trans
(Eq.trans
((fun (a a_1 : Option α) (e_1 : a = a_1) (ᾰ ᾰ_1 : Option α) (e_2 : ᾰ = ᾰ_1) =>
congr (congr_arg Eq e_1) e_2)
(lift_or_get f none (some a)) (some a) (lift_or_get.equations._eqn_2 f a)
(some a) (some a) (Eq.refl (some a)))
(some.inj_eq a a))
(propext (eq_self_iff_true a))))
trivial
protected instance lift_or_get_is_right_id {α : Type u_1} (f : α → α → α) :
is_right_id (Option α) (lift_or_get f) none :=
is_right_id.mk
fun (a : Option α) =>
option.cases_on a
(eq.mpr
(id
(Eq.trans
((fun (a a_1 : Option α) (e_1 : a = a_1) (ᾰ ᾰ_1 : Option α) (e_2 : ᾰ = ᾰ_1) =>
congr (congr_arg Eq e_1) e_2)
(lift_or_get f none none) none (lift_or_get.equations._eqn_1 f) none none
(Eq.refl none))
(propext (eq_self_iff_true none))))
trivial)
fun (a : α) =>
eq.mpr
(id
(Eq.trans
(Eq.trans
((fun (a a_1 : Option α) (e_1 : a = a_1) (ᾰ ᾰ_1 : Option α) (e_2 : ᾰ = ᾰ_1) =>
congr (congr_arg Eq e_1) e_2)
(lift_or_get f (some a) none) (some a) (lift_or_get.equations._eqn_3 f a)
(some a) (some a) (Eq.refl (some a)))
(some.inj_eq a a))
(propext (eq_self_iff_true a))))
trivial
inductive rel {α : Type u_1} {β : Type u_2} (r : α → β → Prop) : Option α → Option β → Prop where
| some : ∀ {a : α} {b : β}, r a b → rel r (some a) (some b)
| none : rel r none none
/-- Partial bind. If for some `x : option α`, `f : Π (a : α), a ∈ x → option β` is a
partial function defined on `a : α` giving an `option β`, where `some a = x`,
then `pbind x f h` is essentially the same as `bind x f`
but is defined only when all `x = some a`, using the proof to apply `f`. -/
@[simp] def pbind {α : Type u_1} {β : Type u_2} (x : Option α) :
((a : α) → a ∈ x → Option β) → Option β :=
sorry
/-- Partial map. If `f : Π a, p a → β` is a partial function defined on
`a : α` satisfying `p`, then `pmap f x h` is essentially the same as `map f x`
but is defined only when all members of `x` satisfy `p`, using the proof
to apply `f`. -/
@[simp] def pmap {α : Type u_1} {β : Type u_2} {p : α → Prop} (f : (a : α) → p a → β)
(x : Option α) : (∀ (a : α), a ∈ x → p a) → Option β :=
sorry
/--
Flatten an `option` of `option`, a specialization of `mjoin`.
-/
@[simp] def join {α : Type u_1} : Option (Option α) → Option α :=
fun (x : Option (Option α)) => x >>= id
protected def traverse {F : Type u → Type v} [Applicative F] {α : Type u_1} {β : Type u}
(f : α → F β) : Option α → F (Option β) :=
sorry
/- By analogy with `monad.sequence` in `init/category/combinators.lean`. -/
/-- If you maybe have a monadic computation in a `[monad m]` which produces a term of type `α`, then
there is a naturally associated way to always perform a computation in `m` which maybe produces a
result. -/
def maybe {m : Type u → Type v} [Monad m] {α : Type u} : Option (m α) → m (Option α) := sorry
/-- Map a monadic function `f : α → m β` over an `o : option α`, maybe producing a result. -/
def mmap {m : Type u → Type v} [Monad m] {α : Type w} {β : Type u} (f : α → m β) (o : Option α) :
m (Option β) :=
maybe (option.map f o)
end Mathlib |
7f95a0bb57c5c74ac272ee1143b4ccdd10faeb85 | 5c5878e769950eabe897ad08485b3ba1a619cea9 | /src/categories/util/Two.lean | 295daeaf6176d1c4ec9c5806d81ecbfed8946b3c | [
"Apache-2.0"
] | permissive | semorrison/lean-category-theory-pr | 39dc2077fcb41b438e61be1685e4cbca298767ed | 7adc8d91835e883db0fe75aa33661bc1480dbe55 | refs/heads/master | 1,583,748,682,010 | 1,535,111,040,000 | 1,535,111,040,000 | 128,731,071 | 1 | 2 | Apache-2.0 | 1,528,069,880,000 | 1,523,258,452,000 | Lean | UTF-8 | Lean | false | false | 843 | lean | -- Copyright (c) 2017 Scott Morrison. All rights reserved.
-- Released under Apache 2.0 license as described in the file LICENSE.
-- Authors: Scott Morrison
import ..tactics
import data.fintype
universes u v
@[derive decidable_eq]
inductive Two : Type u
| _0 : Two
| _1 : Two
open Two
section
open tactic
@[tidy] meta def induction_Two : tactic unit :=
do l ← local_context,
at_least_one (l.reverse.map (λ h, do t ← infer_type h, match t with | `(Two) := cases h >> skip | _ := failed end)),
skip
end
instance Two_fintype : fintype Two :=
{ elems := [_0, _1].to_finset,
complete := begin
-- `obviously'` says:
intros,
dsimp,
simp,
induction_Two,
simp,
simp
end }
|
16b4858e902ac4bfb7f6144f183030ca9559d3df | 57c233acf9386e610d99ed20ef139c5f97504ba3 | /src/analysis/normed_space/finite_dimension.lean | 655a9ca8323526ba4640db2ee12ffc4ca295ba9c | [
"Apache-2.0"
] | permissive | robertylewis/mathlib | 3d16e3e6daf5ddde182473e03a1b601d2810952c | 1d13f5b932f5e40a8308e3840f96fc882fae01f0 | refs/heads/master | 1,651,379,945,369 | 1,644,276,960,000 | 1,644,276,960,000 | 98,875,504 | 0 | 0 | Apache-2.0 | 1,644,253,514,000 | 1,501,495,700,000 | Lean | UTF-8 | Lean | false | false | 38,573 | lean | /-
Copyright (c) 2019 Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sébastien Gouëzel
-/
import analysis.normed_space.affine_isometry
import analysis.normed_space.operator_norm
import analysis.asymptotics.asymptotic_equivalent
import linear_algebra.matrix.to_lin
import topology.algebra.matrix
/-!
# Finite dimensional normed spaces over complete fields
Over a complete nondiscrete field, in finite dimension, all norms are equivalent and all linear maps
are continuous. Moreover, a finite-dimensional subspace is always complete and closed.
## Main results:
* `linear_map.continuous_of_finite_dimensional` : a linear map on a finite-dimensional space over a
complete field is continuous.
* `finite_dimensional.complete` : a finite-dimensional space over a complete field is complete. This
is not registered as an instance, as the field would be an unknown metavariable in typeclass
resolution.
* `submodule.closed_of_finite_dimensional` : a finite-dimensional subspace over a complete field is
closed
* `finite_dimensional.proper` : a finite-dimensional space over a proper field is proper. This
is not registered as an instance, as the field would be an unknown metavariable in typeclass
resolution. It is however registered as an instance for `𝕜 = ℝ` and `𝕜 = ℂ`. As properness
implies completeness, there is no need to also register `finite_dimensional.complete` on `ℝ` or
`ℂ`.
* `finite_dimensional_of_is_compact_closed_ball`: Riesz' theorem: if the closed unit ball is
compact, then the space is finite-dimensional.
## Implementation notes
The fact that all norms are equivalent is not written explicitly, as it would mean having two norms
on a single space, which is not the way type classes work. However, if one has a
finite-dimensional vector space `E` with a norm, and a copy `E'` of this type with another norm,
then the identities from `E` to `E'` and from `E'`to `E` are continuous thanks to
`linear_map.continuous_of_finite_dimensional`. This gives the desired norm equivalence.
-/
universes u v w x
noncomputable theory
open set finite_dimensional topological_space filter asymptotics
open_locale classical big_operators filter topological_space asymptotics nnreal
namespace linear_isometry
open linear_map
variables {R : Type*} [semiring R]
variables {F E₁ : Type*} [semi_normed_group F]
[normed_group E₁] [module R E₁]
variables {R₁ : Type*} [field R₁] [module R₁ E₁] [module R₁ F]
[finite_dimensional R₁ E₁] [finite_dimensional R₁ F]
/-- A linear isometry between finite dimensional spaces of equal dimension can be upgraded
to a linear isometry equivalence. -/
def to_linear_isometry_equiv
(li : E₁ →ₗᵢ[R₁] F) (h : finrank R₁ E₁ = finrank R₁ F) : E₁ ≃ₗᵢ[R₁] F :=
{ to_linear_equiv :=
li.to_linear_map.linear_equiv_of_injective li.injective h,
norm_map' := li.norm_map' }
@[simp] lemma coe_to_linear_isometry_equiv
(li : E₁ →ₗᵢ[R₁] F) (h : finrank R₁ E₁ = finrank R₁ F) :
(li.to_linear_isometry_equiv h : E₁ → F) = li := rfl
@[simp] lemma to_linear_isometry_equiv_apply
(li : E₁ →ₗᵢ[R₁] F) (h : finrank R₁ E₁ = finrank R₁ F) (x : E₁) :
(li.to_linear_isometry_equiv h) x = li x := rfl
end linear_isometry
namespace affine_isometry
open affine_map
variables {𝕜 : Type*} {V₁ V₂ : Type*} {P₁ P₂ : Type*}
[normed_field 𝕜]
[normed_group V₁] [semi_normed_group V₂]
[normed_space 𝕜 V₁] [normed_space 𝕜 V₂]
[metric_space P₁] [pseudo_metric_space P₂]
[normed_add_torsor V₁ P₁] [normed_add_torsor V₂ P₂]
variables [finite_dimensional 𝕜 V₁] [finite_dimensional 𝕜 V₂]
/-- An affine isometry between finite dimensional spaces of equal dimension can be upgraded
to an affine isometry equivalence. -/
def to_affine_isometry_equiv [inhabited P₁]
(li : P₁ →ᵃⁱ[𝕜] P₂) (h : finrank 𝕜 V₁ = finrank 𝕜 V₂) : P₁ ≃ᵃⁱ[𝕜] P₂ :=
affine_isometry_equiv.mk' li (li.linear_isometry.to_linear_isometry_equiv h) (arbitrary P₁)
(λ p, by simp)
@[simp] lemma coe_to_affine_isometry_equiv [inhabited P₁]
(li : P₁ →ᵃⁱ[𝕜] P₂) (h : finrank 𝕜 V₁ = finrank 𝕜 V₂) :
(li.to_affine_isometry_equiv h : P₁ → P₂) = li := rfl
@[simp] lemma to_affine_isometry_equiv_apply [inhabited P₁]
(li : P₁ →ᵃⁱ[𝕜] P₂) (h : finrank 𝕜 V₁ = finrank 𝕜 V₂) (x : P₁) :
(li.to_affine_isometry_equiv h) x = li x := rfl
end affine_isometry
/-- A linear map on `ι → 𝕜` (where `ι` is a fintype) is continuous -/
lemma linear_map.continuous_on_pi {ι : Type w} [fintype ι] {𝕜 : Type u} [normed_field 𝕜]
{E : Type v} [add_comm_group E] [module 𝕜 E] [topological_space E]
[topological_add_group E] [has_continuous_smul 𝕜 E] (f : (ι → 𝕜) →ₗ[𝕜] E) : continuous f :=
begin
-- for the proof, write `f` in the standard basis, and use that each coordinate is a continuous
-- function.
have : (f : (ι → 𝕜) → E) =
(λx, ∑ i : ι, x i • (f (λj, if i = j then 1 else 0))),
by { ext x, exact f.pi_apply_eq_sum_univ x },
rw this,
refine continuous_finset_sum _ (λi hi, _),
exact (continuous_apply i).smul continuous_const
end
/-- The space of continuous linear maps between finite-dimensional spaces is finite-dimensional. -/
instance {𝕜 E F : Type*} [field 𝕜] [topological_space 𝕜]
[topological_space E] [add_comm_group E] [module 𝕜 E] [finite_dimensional 𝕜 E]
[topological_space F] [add_comm_group F] [module 𝕜 F] [topological_add_group F]
[has_continuous_smul 𝕜 F] [finite_dimensional 𝕜 F] :
finite_dimensional 𝕜 (E →L[𝕜] F) :=
begin
haveI : is_noetherian 𝕜 (E →ₗ[𝕜] F) := is_noetherian.iff_fg.mpr (by apply_instance),
let I : (E →L[𝕜] F) →ₗ[𝕜] (E →ₗ[𝕜] F) := continuous_linear_map.coe_lm 𝕜,
exact module.finite.of_injective I continuous_linear_map.coe_injective
end
section complete_field
variables {𝕜 : Type u} [nondiscrete_normed_field 𝕜]
{E : Type v} [normed_group E] [normed_space 𝕜 E]
{F : Type w} [normed_group F] [normed_space 𝕜 F]
{F' : Type x} [add_comm_group F'] [module 𝕜 F'] [topological_space F']
[topological_add_group F'] [has_continuous_smul 𝕜 F']
[complete_space 𝕜]
/-- In finite dimension over a complete field, the canonical identification (in terms of a basis)
with `𝕜^n` together with its sup norm is continuous. This is the nontrivial part in the fact that
all norms are equivalent in finite dimension.
This statement is superceded by the fact that every linear map on a finite-dimensional space is
continuous, in `linear_map.continuous_of_finite_dimensional`. -/
lemma continuous_equiv_fun_basis {ι : Type v} [fintype ι] (ξ : basis ι 𝕜 E) :
continuous ξ.equiv_fun :=
begin
unfreezingI { induction hn : fintype.card ι with n IH generalizing ι E },
{ apply ξ.equiv_fun.to_linear_map.continuous_of_bound 0 (λx, _),
have : ξ.equiv_fun x = 0,
by { ext i, exact (fintype.card_eq_zero_iff.1 hn).elim i },
change ∥ξ.equiv_fun x∥ ≤ 0 * ∥x∥,
rw this,
simp [norm_nonneg] },
{ haveI : finite_dimensional 𝕜 E := of_fintype_basis ξ,
-- first step: thanks to the inductive assumption, any n-dimensional subspace is equivalent
-- to a standard space of dimension n, hence it is complete and therefore closed.
have H₁ : ∀s : submodule 𝕜 E, finrank 𝕜 s = n → is_closed (s : set E),
{ assume s s_dim,
let b := basis.of_vector_space 𝕜 s,
have U : uniform_embedding b.equiv_fun.symm.to_equiv,
{ have : fintype.card (basis.of_vector_space_index 𝕜 s) = n,
by { rw ← s_dim, exact (finrank_eq_card_basis b).symm },
have : continuous b.equiv_fun := IH b this,
exact b.equiv_fun.symm.uniform_embedding b.equiv_fun.symm.to_linear_map.continuous_on_pi
this },
have : is_complete (s : set E),
from complete_space_coe_iff_is_complete.1 ((complete_space_congr U).1 (by apply_instance)),
exact this.is_closed },
-- second step: any linear form is continuous, as its kernel is closed by the first step
have H₂ : ∀f : E →ₗ[𝕜] 𝕜, continuous f,
{ assume f,
have : finrank 𝕜 f.ker = n ∨ finrank 𝕜 f.ker = n.succ,
{ have Z := f.finrank_range_add_finrank_ker,
rw [finrank_eq_card_basis ξ, hn] at Z,
by_cases H : finrank 𝕜 f.range = 0,
{ right,
rw H at Z,
simpa using Z },
{ left,
have : finrank 𝕜 f.range = 1,
{ refine le_antisymm _ (zero_lt_iff.mpr H),
simpa [finrank_self] using f.range.finrank_le },
rw [this, add_comm, nat.add_one] at Z,
exact nat.succ.inj Z } },
have : is_closed (f.ker : set E),
{ cases this,
{ exact H₁ _ this },
{ have : f.ker = ⊤,
by { apply eq_top_of_finrank_eq, rw [finrank_eq_card_basis ξ, hn, this] },
simp [this] } },
exact linear_map.continuous_iff_is_closed_ker.2 this },
-- third step: applying the continuity to the linear form corresponding to a coefficient in the
-- basis decomposition, deduce that all such coefficients are controlled in terms of the norm
have : ∀i:ι, ∃C, 0 ≤ C ∧ ∀(x:E), ∥ξ.equiv_fun x i∥ ≤ C * ∥x∥,
{ assume i,
let f : E →ₗ[𝕜] 𝕜 := (linear_map.proj i) ∘ₗ ↑ξ.equiv_fun,
let f' : E →L[𝕜] 𝕜 := { cont := H₂ f, ..f },
exact ⟨∥f'∥, norm_nonneg _, λx, continuous_linear_map.le_op_norm f' x⟩ },
-- fourth step: combine the bound on each coefficient to get a global bound and the continuity
choose C0 hC0 using this,
let C := ∑ i, C0 i,
have C_nonneg : 0 ≤ C := finset.sum_nonneg (λi hi, (hC0 i).1),
have C0_le : ∀i, C0 i ≤ C :=
λi, finset.single_le_sum (λj hj, (hC0 j).1) (finset.mem_univ _),
apply ξ.equiv_fun.to_linear_map.continuous_of_bound C (λx, _),
rw pi_norm_le_iff,
{ exact λi, le_trans ((hC0 i).2 x) (mul_le_mul_of_nonneg_right (C0_le i) (norm_nonneg _)) },
{ exact mul_nonneg C_nonneg (norm_nonneg _) } }
end
/-- Any linear map on a finite dimensional space over a complete field is continuous. -/
theorem linear_map.continuous_of_finite_dimensional [finite_dimensional 𝕜 E] (f : E →ₗ[𝕜] F') :
continuous f :=
begin
-- for the proof, go to a model vector space `b → 𝕜` thanks to `continuous_equiv_fun_basis`, and
-- argue that all linear maps there are continuous.
let b := basis.of_vector_space 𝕜 E,
have A : continuous b.equiv_fun :=
continuous_equiv_fun_basis b,
have B : continuous (f.comp (b.equiv_fun.symm : (basis.of_vector_space_index 𝕜 E → 𝕜) →ₗ[𝕜] E)) :=
linear_map.continuous_on_pi _,
have : continuous ((f.comp (b.equiv_fun.symm : (basis.of_vector_space_index 𝕜 E → 𝕜) →ₗ[𝕜] E))
∘ b.equiv_fun) := B.comp A,
convert this,
ext x,
dsimp,
rw [basis.equiv_fun_symm_apply, basis.sum_repr]
end
theorem affine_map.continuous_of_finite_dimensional {PE PF : Type*}
[metric_space PE] [normed_add_torsor E PE] [metric_space PF] [normed_add_torsor F PF]
[finite_dimensional 𝕜 E] (f : PE →ᵃ[𝕜] PF) : continuous f :=
affine_map.continuous_linear_iff.1 f.linear.continuous_of_finite_dimensional
lemma continuous_linear_map.continuous_det :
continuous (λ (f : E →L[𝕜] E), f.det) :=
begin
change continuous (λ (f : E →L[𝕜] E), (f : E →ₗ[𝕜] E).det),
classical,
by_cases h : ∃ (s : finset E), nonempty (basis ↥s 𝕜 E),
{ rcases h with ⟨s, ⟨b⟩⟩,
haveI : finite_dimensional 𝕜 E := finite_dimensional.of_finset_basis b,
letI : normed_group (matrix s s 𝕜) := matrix.normed_group,
letI : normed_space 𝕜 (matrix s s 𝕜) := matrix.normed_space,
simp_rw linear_map.det_eq_det_to_matrix_of_finset b,
have A : continuous (λ (f : E →L[𝕜] E), linear_map.to_matrix b b f),
{ change continuous ((linear_map.to_matrix b b).to_linear_map.comp
(continuous_linear_map.coe_lm 𝕜)),
exact linear_map.continuous_of_finite_dimensional _ },
convert continuous_det.comp A,
ext f,
congr },
{ unfold linear_map.det,
simpa only [h, monoid_hom.one_apply, dif_neg, not_false_iff] using continuous_const }
end
namespace linear_map
variables [finite_dimensional 𝕜 E]
/-- The continuous linear map induced by a linear map on a finite dimensional space -/
def to_continuous_linear_map : (E →ₗ[𝕜] F') ≃ₗ[𝕜] E →L[𝕜] F' :=
{ to_fun := λ f, ⟨f, f.continuous_of_finite_dimensional⟩,
inv_fun := coe,
map_add' := λ f g, rfl,
map_smul' := λ c f, rfl,
left_inv := λ f, rfl,
right_inv := λ f, continuous_linear_map.coe_injective rfl }
@[simp] lemma coe_to_continuous_linear_map' (f : E →ₗ[𝕜] F') :
⇑f.to_continuous_linear_map = f := rfl
@[simp] lemma coe_to_continuous_linear_map (f : E →ₗ[𝕜] F') :
(f.to_continuous_linear_map : E →ₗ[𝕜] F') = f := rfl
@[simp] lemma coe_to_continuous_linear_map_symm :
⇑(to_continuous_linear_map : (E →ₗ[𝕜] F') ≃ₗ[𝕜] E →L[𝕜] F').symm = coe := rfl
end linear_map
namespace linear_equiv
variables [finite_dimensional 𝕜 E]
/-- The continuous linear equivalence induced by a linear equivalence on a finite dimensional
space. -/
def to_continuous_linear_equiv (e : E ≃ₗ[𝕜] F) : E ≃L[𝕜] F :=
{ continuous_to_fun := e.to_linear_map.continuous_of_finite_dimensional,
continuous_inv_fun := begin
haveI : finite_dimensional 𝕜 F := e.finite_dimensional,
exact e.symm.to_linear_map.continuous_of_finite_dimensional
end,
..e }
@[simp] lemma coe_to_continuous_linear_equiv (e : E ≃ₗ[𝕜] F) :
(e.to_continuous_linear_equiv : E →ₗ[𝕜] F) = e := rfl
@[simp] lemma coe_to_continuous_linear_equiv' (e : E ≃ₗ[𝕜] F) :
(e.to_continuous_linear_equiv : E → F) = e := rfl
@[simp] lemma coe_to_continuous_linear_equiv_symm (e : E ≃ₗ[𝕜] F) :
(e.to_continuous_linear_equiv.symm : F →ₗ[𝕜] E) = e.symm := rfl
@[simp] lemma coe_to_continuous_linear_equiv_symm' (e : E ≃ₗ[𝕜] F) :
(e.to_continuous_linear_equiv.symm : F → E) = e.symm := rfl
@[simp] lemma to_linear_equiv_to_continuous_linear_equiv (e : E ≃ₗ[𝕜] F) :
e.to_continuous_linear_equiv.to_linear_equiv = e :=
by { ext x, refl }
@[simp] lemma to_linear_equiv_to_continuous_linear_equiv_symm (e : E ≃ₗ[𝕜] F) :
e.to_continuous_linear_equiv.symm.to_linear_equiv = e.symm :=
by { ext x, refl }
end linear_equiv
/-- Any `K`-Lipschitz map from a subset `s` of a metric space `α` to a finite-dimensional real
vector space `E'` can be extended to a Lipschitz map on the whole space `α`, with a slightly worse
constant `C * K` where `C` only depends on `E'`. We record a working value for this constant `C`
as `lipschitz_extension_constant E'`. -/
@[irreducible] def lipschitz_extension_constant
(E' : Type*) [normed_group E'] [normed_space ℝ E'] [finite_dimensional ℝ E'] : ℝ≥0 :=
let A := (basis.of_vector_space ℝ E').equiv_fun.to_continuous_linear_equiv in
max (∥A.symm.to_continuous_linear_map∥₊ * ∥A.to_continuous_linear_map∥₊) 1
lemma lipschitz_extension_constant_pos
(E' : Type*) [normed_group E'] [normed_space ℝ E'] [finite_dimensional ℝ E'] :
0 < lipschitz_extension_constant E' :=
by { rw lipschitz_extension_constant, exact zero_lt_one.trans_le (le_max_right _ _) }
/-- Any `K`-Lipschitz map from a subset `s` of a metric space `α` to a finite-dimensional real
vector space `E'` can be extended to a Lipschitz map on the whole space `α`, with a slightly worse
constant `lipschitz_extension_constant E' * K`. -/
theorem lipschitz_on_with.extend_finite_dimension
{α : Type*} [pseudo_metric_space α]
{E' : Type*} [normed_group E'] [normed_space ℝ E'] [finite_dimensional ℝ E']
{s : set α} {f : α → E'} {K : ℝ≥0} (hf : lipschitz_on_with K f s) :
∃ (g : α → E'), lipschitz_with (lipschitz_extension_constant E' * K) g ∧ eq_on f g s :=
begin
/- This result is already known for spaces `ι → ℝ`. We use a continuous linear equiv between
`E'` and such a space to transfer the result to `E'`. -/
let ι : Type* := basis.of_vector_space_index ℝ E',
let A := (basis.of_vector_space ℝ E').equiv_fun.to_continuous_linear_equiv,
have LA : lipschitz_with (∥A.to_continuous_linear_map∥₊) A, by apply A.lipschitz,
have L : lipschitz_on_with (∥A.to_continuous_linear_map∥₊ * K) (A ∘ f) s :=
LA.comp_lipschitz_on_with hf,
obtain ⟨g, hg, gs⟩ : ∃ g : α → (ι → ℝ), lipschitz_with (∥A.to_continuous_linear_map∥₊ * K) g ∧
eq_on (A ∘ f) g s := L.extend_pi,
refine ⟨A.symm ∘ g, _, _⟩,
{ have LAsymm : lipschitz_with (∥A.symm.to_continuous_linear_map∥₊) A.symm,
by apply A.symm.lipschitz,
apply (LAsymm.comp hg).weaken,
rw [lipschitz_extension_constant, ← mul_assoc],
refine mul_le_mul' (le_max_left _ _) le_rfl },
{ assume x hx,
have : A (f x) = g x := gs hx,
simp only [(∘), ← this, A.symm_apply_apply] }
end
lemma linear_map.exists_antilipschitz_with [finite_dimensional 𝕜 E] (f : E →ₗ[𝕜] F)
(hf : f.ker = ⊥) : ∃ K > 0, antilipschitz_with K f :=
begin
cases subsingleton_or_nontrivial E; resetI,
{ exact ⟨1, zero_lt_one, antilipschitz_with.of_subsingleton⟩ },
{ rw linear_map.ker_eq_bot at hf,
let e : E ≃L[𝕜] f.range := (linear_equiv.of_injective f hf).to_continuous_linear_equiv,
exact ⟨_, e.nnnorm_symm_pos, e.antilipschitz⟩ }
end
protected lemma linear_independent.eventually {ι} [fintype ι] {f : ι → E}
(hf : linear_independent 𝕜 f) : ∀ᶠ g in 𝓝 f, linear_independent 𝕜 g :=
begin
simp only [fintype.linear_independent_iff'] at hf ⊢,
rcases linear_map.exists_antilipschitz_with _ hf with ⟨K, K0, hK⟩,
have : tendsto (λ g : ι → E, ∑ i, ∥g i - f i∥) (𝓝 f) (𝓝 $ ∑ i, ∥f i - f i∥),
from tendsto_finset_sum _ (λ i hi, tendsto.norm $
((continuous_apply i).tendsto _).sub tendsto_const_nhds),
simp only [sub_self, norm_zero, finset.sum_const_zero] at this,
refine (this.eventually (gt_mem_nhds $ inv_pos.2 K0)).mono (λ g hg, _),
replace hg : ∑ i, nnnorm (g i - f i) < K⁻¹, by { rw ← nnreal.coe_lt_coe, push_cast, exact hg },
rw linear_map.ker_eq_bot,
refine (hK.add_sub_lipschitz_with (lipschitz_with.of_dist_le_mul $ λ v u, _) hg).injective,
simp only [dist_eq_norm, linear_map.lsum_apply, pi.sub_apply, linear_map.sum_apply,
linear_map.comp_apply, linear_map.proj_apply, linear_map.smul_right_apply, linear_map.id_apply,
← finset.sum_sub_distrib, ← smul_sub, ← sub_smul, nnreal.coe_sum, coe_nnnorm, finset.sum_mul],
refine norm_sum_le_of_le _ (λ i _, _),
rw [norm_smul, mul_comm],
exact mul_le_mul_of_nonneg_left (norm_le_pi_norm (v - u) i) (norm_nonneg _)
end
lemma is_open_set_of_linear_independent {ι : Type*} [fintype ι] :
is_open {f : ι → E | linear_independent 𝕜 f} :=
is_open_iff_mem_nhds.2 $ λ f, linear_independent.eventually
lemma is_open_set_of_nat_le_rank (n : ℕ) : is_open {f : E →L[𝕜] F | ↑n ≤ rank (f : E →ₗ[𝕜] F)} :=
begin
simp only [le_rank_iff_exists_linear_independent_finset, set_of_exists, ← exists_prop],
refine is_open_bUnion (λ t ht, _),
have : continuous (λ f : E →L[𝕜] F, (λ x : (t : set E), f x)),
from continuous_pi (λ x, (continuous_linear_map.apply 𝕜 F (x : E)).continuous),
exact is_open_set_of_linear_independent.preimage this
end
/-- Two finite-dimensional normed spaces are continuously linearly equivalent if they have the same
(finite) dimension. -/
theorem finite_dimensional.nonempty_continuous_linear_equiv_of_finrank_eq
[finite_dimensional 𝕜 E] [finite_dimensional 𝕜 F] (cond : finrank 𝕜 E = finrank 𝕜 F) :
nonempty (E ≃L[𝕜] F) :=
(nonempty_linear_equiv_of_finrank_eq cond).map linear_equiv.to_continuous_linear_equiv
/-- Two finite-dimensional normed spaces are continuously linearly equivalent if and only if they
have the same (finite) dimension. -/
theorem finite_dimensional.nonempty_continuous_linear_equiv_iff_finrank_eq
[finite_dimensional 𝕜 E] [finite_dimensional 𝕜 F] :
nonempty (E ≃L[𝕜] F) ↔ finrank 𝕜 E = finrank 𝕜 F :=
⟨ λ ⟨h⟩, h.to_linear_equiv.finrank_eq,
λ h, finite_dimensional.nonempty_continuous_linear_equiv_of_finrank_eq h ⟩
/-- A continuous linear equivalence between two finite-dimensional normed spaces of the same
(finite) dimension. -/
def continuous_linear_equiv.of_finrank_eq [finite_dimensional 𝕜 E] [finite_dimensional 𝕜 F]
(cond : finrank 𝕜 E = finrank 𝕜 F) :
E ≃L[𝕜] F :=
(linear_equiv.of_finrank_eq E F cond).to_continuous_linear_equiv
variables {ι : Type*} [fintype ι]
/-- Construct a continuous linear map given the value at a finite basis. -/
def basis.constrL (v : basis ι 𝕜 E) (f : ι → F) :
E →L[𝕜] F :=
by haveI : finite_dimensional 𝕜 E := finite_dimensional.of_fintype_basis v;
exact (v.constr 𝕜 f).to_continuous_linear_map
@[simp, norm_cast] lemma basis.coe_constrL (v : basis ι 𝕜 E) (f : ι → F) :
(v.constrL f : E →ₗ[𝕜] F) = v.constr 𝕜 f := rfl
/-- The continuous linear equivalence between a vector space over `𝕜` with a finite basis and
functions from its basis indexing type to `𝕜`. -/
def basis.equiv_funL (v : basis ι 𝕜 E) : E ≃L[𝕜] (ι → 𝕜) :=
{ continuous_to_fun := begin
haveI : finite_dimensional 𝕜 E := finite_dimensional.of_fintype_basis v,
exact v.equiv_fun.to_linear_map.continuous_of_finite_dimensional,
end,
continuous_inv_fun := begin
change continuous v.equiv_fun.symm.to_fun,
exact v.equiv_fun.symm.to_linear_map.continuous_of_finite_dimensional,
end,
..v.equiv_fun }
@[simp] lemma basis.constrL_apply (v : basis ι 𝕜 E) (f : ι → F) (e : E) :
(v.constrL f) e = ∑ i, (v.equiv_fun e i) • f i :=
v.constr_apply_fintype 𝕜 _ _
@[simp] lemma basis.constrL_basis (v : basis ι 𝕜 E) (f : ι → F) (i : ι) :
(v.constrL f) (v i) = f i :=
v.constr_basis 𝕜 _ _
lemma basis.sup_norm_le_norm (v : basis ι 𝕜 E) :
∃ C > (0 : ℝ), ∀ e : E, ∑ i, ∥v.equiv_fun e i∥ ≤ C * ∥e∥ :=
begin
set φ := v.equiv_funL.to_continuous_linear_map,
set C := ∥φ∥ * (fintype.card ι),
use [max C 1, lt_of_lt_of_le (zero_lt_one) (le_max_right C 1)],
intros e,
calc ∑ i, ∥φ e i∥ ≤ ∑ i : ι, ∥φ e∥ : by { apply finset.sum_le_sum,
exact λ i hi, norm_le_pi_norm (φ e) i }
... = ∥φ e∥*(fintype.card ι) : by simpa only [mul_comm, finset.sum_const, nsmul_eq_mul]
... ≤ ∥φ∥ * ∥e∥ * (fintype.card ι) : mul_le_mul_of_nonneg_right (φ.le_op_norm e)
(fintype.card ι).cast_nonneg
... = ∥φ∥ * (fintype.card ι) * ∥e∥ : by ring
... ≤ max C 1 * ∥e∥ : mul_le_mul_of_nonneg_right (le_max_left _ _) (norm_nonneg _)
end
lemma basis.op_norm_le {ι : Type*} [fintype ι] (v : basis ι 𝕜 E) :
∃ C > (0 : ℝ), ∀ {u : E →L[𝕜] F} {M : ℝ}, 0 ≤ M → (∀ i, ∥u (v i)∥ ≤ M) → ∥u∥ ≤ C*M :=
begin
obtain ⟨C, C_pos, hC⟩ : ∃ C > (0 : ℝ), ∀ (e : E), ∑ i, ∥v.equiv_fun e i∥ ≤ C * ∥e∥,
from v.sup_norm_le_norm,
use [C, C_pos],
intros u M hM hu,
apply u.op_norm_le_bound (mul_nonneg (le_of_lt C_pos) hM),
intros e,
calc
∥u e∥ = ∥u (∑ i, v.equiv_fun e i • v i)∥ : by rw [v.sum_equiv_fun]
... = ∥∑ i, (v.equiv_fun e i) • (u $ v i)∥ : by simp [u.map_sum, linear_map.map_smul]
... ≤ ∑ i, ∥(v.equiv_fun e i) • (u $ v i)∥ : norm_sum_le _ _
... = ∑ i, ∥v.equiv_fun e i∥ * ∥u (v i)∥ : by simp only [norm_smul]
... ≤ ∑ i, ∥v.equiv_fun e i∥ * M : finset.sum_le_sum (λ i hi,
mul_le_mul_of_nonneg_left (hu i) (norm_nonneg _))
... = (∑ i, ∥v.equiv_fun e i∥) * M : finset.sum_mul.symm
... ≤ C * ∥e∥ * M : mul_le_mul_of_nonneg_right (hC e) hM
... = C * M * ∥e∥ : by ring
end
instance [finite_dimensional 𝕜 E] [second_countable_topology F] :
second_countable_topology (E →L[𝕜] F) :=
begin
set d := finite_dimensional.finrank 𝕜 E,
suffices :
∀ ε > (0 : ℝ), ∃ n : (E →L[𝕜] F) → fin d → ℕ, ∀ (f g : E →L[𝕜] F), n f = n g → dist f g ≤ ε,
from metric.second_countable_of_countable_discretization
(λ ε ε_pos, ⟨fin d → ℕ, by apply_instance, this ε ε_pos⟩),
intros ε ε_pos,
obtain ⟨u : ℕ → F, hu : dense_range u⟩ := exists_dense_seq F,
let v := finite_dimensional.fin_basis 𝕜 E,
obtain ⟨C : ℝ, C_pos : 0 < C,
hC : ∀ {φ : E →L[𝕜] F} {M : ℝ}, 0 ≤ M → (∀ i, ∥φ (v i)∥ ≤ M) → ∥φ∥ ≤ C * M⟩ :=
v.op_norm_le,
have h_2C : 0 < 2*C := mul_pos zero_lt_two C_pos,
have hε2C : 0 < ε/(2*C) := div_pos ε_pos h_2C,
have : ∀ φ : E →L[𝕜] F, ∃ n : fin d → ℕ, ∥φ - (v.constrL $ u ∘ n)∥ ≤ ε/2,
{ intros φ,
have : ∀ i, ∃ n, ∥φ (v i) - u n∥ ≤ ε/(2*C),
{ simp only [norm_sub_rev],
intro i,
have : φ (v i) ∈ closure (range u) := hu _,
obtain ⟨n, hn⟩ : ∃ n, ∥u n - φ (v i)∥ < ε / (2 * C),
{ rw mem_closure_iff_nhds_basis metric.nhds_basis_ball at this,
specialize this (ε/(2*C)) hε2C,
simpa [dist_eq_norm] },
exact ⟨n, le_of_lt hn⟩ },
choose n hn using this,
use n,
replace hn : ∀ i : fin d, ∥(φ - (v.constrL $ u ∘ n)) (v i)∥ ≤ ε / (2 * C), by simp [hn],
have : C * (ε / (2 * C)) = ε/2,
{ rw [eq_div_iff (two_ne_zero : (2 : ℝ) ≠ 0), mul_comm, ← mul_assoc,
mul_div_cancel' _ (ne_of_gt h_2C)] },
specialize hC (le_of_lt hε2C) hn,
rwa this at hC },
choose n hn using this,
set Φ := λ φ : E →L[𝕜] F, (v.constrL $ u ∘ (n φ)),
change ∀ z, dist z (Φ z) ≤ ε/2 at hn,
use n,
intros x y hxy,
calc dist x y ≤ dist x (Φ x) + dist (Φ x) y : dist_triangle _ _ _
... = dist x (Φ x) + dist y (Φ y) : by simp [Φ, hxy, dist_comm]
... ≤ ε : by linarith [hn x, hn y]
end
/-- Any finite-dimensional vector space over a complete field is complete.
We do not register this as an instance to avoid an instance loop when trying to prove the
completeness of `𝕜`, and the search for `𝕜` as an unknown metavariable. Declare the instance
explicitly when needed. -/
variables (𝕜 E)
lemma finite_dimensional.complete [finite_dimensional 𝕜 E] : complete_space E :=
begin
set e := continuous_linear_equiv.of_finrank_eq (@finrank_fin_fun 𝕜 _ (finrank 𝕜 E)).symm,
have : uniform_embedding e.to_linear_equiv.to_equiv.symm := e.symm.uniform_embedding,
exact (complete_space_congr this).1 (by apply_instance)
end
variables {𝕜 E}
/-- A finite-dimensional subspace is complete. -/
lemma submodule.complete_of_finite_dimensional (s : submodule 𝕜 E) [finite_dimensional 𝕜 s] :
is_complete (s : set E) :=
complete_space_coe_iff_is_complete.1 (finite_dimensional.complete 𝕜 s)
/-- A finite-dimensional subspace is closed. -/
lemma submodule.closed_of_finite_dimensional (s : submodule 𝕜 E) [finite_dimensional 𝕜 s] :
is_closed (s : set E) :=
s.complete_of_finite_dimensional.is_closed
section riesz
/-- In an infinite dimensional space, given a finite number of points, one may find a point
with norm at most `R` which is at distance at least `1` of all these points. -/
theorem exists_norm_le_le_norm_sub_of_finset {c : 𝕜} (hc : 1 < ∥c∥) {R : ℝ} (hR : ∥c∥ < R)
(h : ¬ (finite_dimensional 𝕜 E)) (s : finset E) :
∃ (x : E), ∥x∥ ≤ R ∧ ∀ y ∈ s, 1 ≤ ∥y - x∥ :=
begin
let F := submodule.span 𝕜 (s : set E),
haveI : finite_dimensional 𝕜 F := module.finite_def.2
((submodule.fg_top _).2 (submodule.fg_def.2 ⟨s, finset.finite_to_set _, rfl⟩)),
have Fclosed : is_closed (F : set E) := submodule.closed_of_finite_dimensional _,
have : ∃ x, x ∉ F,
{ contrapose! h,
have : (⊤ : submodule 𝕜 E) = F, by { ext x, simp [h] },
have : finite_dimensional 𝕜 (⊤ : submodule 𝕜 E), by rwa this,
refine module.finite_def.2 ((submodule.fg_top _).1 (module.finite_def.1 this)) },
obtain ⟨x, xR, hx⟩ : ∃ (x : E), ∥x∥ ≤ R ∧ ∀ (y : E), y ∈ F → 1 ≤ ∥x - y∥ :=
riesz_lemma_of_norm_lt hc hR Fclosed this,
have hx' : ∀ (y : E), y ∈ F → 1 ≤ ∥y - x∥,
{ assume y hy, rw ← norm_neg, simpa using hx y hy },
exact ⟨x, xR, λ y hy, hx' _ (submodule.subset_span hy)⟩,
end
/-- In an infinite-dimensional normed space, there exists a sequence of points which are all
bounded by `R` and at distance at least `1`. For a version not assuming `c` and `R`, see
`exists_seq_norm_le_one_le_norm_sub`. -/
theorem exists_seq_norm_le_one_le_norm_sub' {c : 𝕜} (hc : 1 < ∥c∥) {R : ℝ} (hR : ∥c∥ < R)
(h : ¬ (finite_dimensional 𝕜 E)) :
∃ f : ℕ → E, (∀ n, ∥f n∥ ≤ R) ∧ (∀ m n, m ≠ n → 1 ≤ ∥f m - f n∥) :=
begin
haveI : is_symm E (λ (x y : E), 1 ≤ ∥x - y∥),
{ constructor,
assume x y hxy,
rw ← norm_neg,
simpa },
apply exists_seq_of_forall_finset_exists' (λ (x : E), ∥x∥ ≤ R) (λ (x : E) (y : E), 1 ≤ ∥x - y∥),
assume s hs,
exact exists_norm_le_le_norm_sub_of_finset hc hR h s,
end
theorem exists_seq_norm_le_one_le_norm_sub (h : ¬ (finite_dimensional 𝕜 E)) :
∃ (R : ℝ) (f : ℕ → E), (1 < R) ∧ (∀ n, ∥f n∥ ≤ R) ∧ (∀ m n, m ≠ n → 1 ≤ ∥f m - f n∥) :=
begin
obtain ⟨c, hc⟩ : ∃ (c : 𝕜), 1 < ∥c∥ := normed_field.exists_one_lt_norm 𝕜,
have A : ∥c∥ < ∥c∥ + 1, by linarith,
rcases exists_seq_norm_le_one_le_norm_sub' hc A h with ⟨f, hf⟩,
exact ⟨∥c∥ + 1, f, hc.trans A, hf.1, hf.2⟩
end
variable (𝕜)
/-- Riesz's theorem: if the unit ball is compact in a vector space, then the space is
finite-dimensional. -/
theorem finite_dimensional_of_is_compact_closed_ball {r : ℝ} (rpos : 0 < r)
(h : is_compact (metric.closed_ball (0 : E) r)) : finite_dimensional 𝕜 E :=
begin
by_contra hfin,
obtain ⟨R, f, Rgt, fle, lef⟩ :
∃ (R : ℝ) (f : ℕ → E), (1 < R) ∧ (∀ n, ∥f n∥ ≤ R) ∧ (∀ m n, m ≠ n → 1 ≤ ∥f m - f n∥) :=
exists_seq_norm_le_one_le_norm_sub hfin,
have rRpos : 0 < r / R := div_pos rpos (zero_lt_one.trans Rgt),
obtain ⟨c, hc⟩ : ∃ (c : 𝕜), 0 < ∥c∥ ∧ ∥c∥ < (r / R) := normed_field.exists_norm_lt _ rRpos,
let g := λ (n : ℕ), c • f n,
have A : ∀ n, g n ∈ metric.closed_ball (0 : E) r,
{ assume n,
simp only [norm_smul, dist_zero_right, metric.mem_closed_ball],
calc ∥c∥ * ∥f n∥ ≤ (r / R) * R : mul_le_mul hc.2.le (fle n) (norm_nonneg _) rRpos.le
... = r : by field_simp [(zero_lt_one.trans Rgt).ne'] },
obtain ⟨x, hx, φ, φmono, φlim⟩ : ∃ (x : E) (H : x ∈ metric.closed_ball (0 : E) r) (φ : ℕ → ℕ),
strict_mono φ ∧ tendsto (g ∘ φ) at_top (𝓝 x) := h.tendsto_subseq A,
have B : cauchy_seq (g ∘ φ) := φlim.cauchy_seq,
obtain ⟨N, hN⟩ : ∃ (N : ℕ), ∀ (n : ℕ), N ≤ n → dist ((g ∘ φ) n) ((g ∘ φ) N) < ∥c∥ :=
metric.cauchy_seq_iff'.1 B (∥c∥) hc.1,
apply lt_irrefl (∥c∥),
calc ∥c∥ ≤ dist (g (φ (N+1))) (g (φ N)) : begin
conv_lhs { rw [← mul_one (∥c∥)] },
simp only [g, dist_eq_norm, ←smul_sub, norm_smul, -mul_one],
apply mul_le_mul_of_nonneg_left (lef _ _ (ne_of_gt _)) (norm_nonneg _),
exact φmono (nat.lt_succ_self N)
end
... < ∥c∥ : hN (N+1) (nat.le_succ N)
end
end riesz
/-- An injective linear map with finite-dimensional domain is a closed embedding. -/
lemma linear_equiv.closed_embedding_of_injective {f : E →ₗ[𝕜] F} (hf : f.ker = ⊥)
[finite_dimensional 𝕜 E] :
closed_embedding ⇑f :=
let g := linear_equiv.of_injective f (linear_map.ker_eq_bot.mp hf) in
{ closed_range := begin
haveI := f.finite_dimensional_range,
simpa [f.range_coe] using f.range.closed_of_finite_dimensional
end,
.. embedding_subtype_coe.comp g.to_continuous_linear_equiv.to_homeomorph.embedding }
lemma continuous_linear_map.exists_right_inverse_of_surjective [finite_dimensional 𝕜 F]
(f : E →L[𝕜] F) (hf : f.range = ⊤) :
∃ g : F →L[𝕜] E, f.comp g = continuous_linear_map.id 𝕜 F :=
let ⟨g, hg⟩ := (f : E →ₗ[𝕜] F).exists_right_inverse_of_surjective hf in
⟨g.to_continuous_linear_map, continuous_linear_map.ext $ linear_map.ext_iff.1 hg⟩
lemma closed_embedding_smul_left {c : E} (hc : c ≠ 0) : closed_embedding (λ x : 𝕜, x • c) :=
linear_equiv.closed_embedding_of_injective (linear_equiv.ker_to_span_singleton 𝕜 E hc)
/- `smul` is a closed map in the first argument. -/
lemma is_closed_map_smul_left (c : E) : is_closed_map (λ x : 𝕜, x • c) :=
begin
by_cases hc : c = 0,
{ simp_rw [hc, smul_zero], exact is_closed_map_const },
{ exact (closed_embedding_smul_left hc).is_closed_map }
end
end complete_field
section proper_field
variables (𝕜 : Type u) [nondiscrete_normed_field 𝕜]
(E : Type v) [normed_group E] [normed_space 𝕜 E] [proper_space 𝕜]
/-- Any finite-dimensional vector space over a proper field is proper.
We do not register this as an instance to avoid an instance loop when trying to prove the
properness of `𝕜`, and the search for `𝕜` as an unknown metavariable. Declare the instance
explicitly when needed. -/
lemma finite_dimensional.proper [finite_dimensional 𝕜 E] : proper_space E :=
begin
set e := continuous_linear_equiv.of_finrank_eq (@finrank_fin_fun 𝕜 _ (finrank 𝕜 E)).symm,
exact e.symm.antilipschitz.proper_space e.symm.continuous e.symm.surjective
end
end proper_field
/- Over the real numbers, we can register the previous statement as an instance as it will not
cause problems in instance resolution since the properness of `ℝ` is already known. -/
@[priority 900]
instance finite_dimensional.proper_real
(E : Type u) [normed_group E] [normed_space ℝ E] [finite_dimensional ℝ E] : proper_space E :=
finite_dimensional.proper ℝ E
/-- If `E` is a finite dimensional normed real vector space, `x : E`, and `s` is a neighborhood of
`x` that is not equal to the whole space, then there exists a point `y ∈ frontier s` at distance
`metric.inf_dist x sᶜ` from `x`. -/
lemma exists_mem_frontier_inf_dist_compl_eq_dist {E : Type*} [normed_group E]
[normed_space ℝ E] [finite_dimensional ℝ E] {x : E} {s : set E} (hx : x ∈ s) (hs : s ≠ univ) :
∃ y ∈ frontier s, metric.inf_dist x sᶜ = dist x y :=
begin
rcases metric.exists_mem_closure_inf_dist_eq_dist (nonempty_compl.2 hs) x with ⟨y, hys, hyd⟩,
rw closure_compl at hys,
refine ⟨y, ⟨metric.closed_ball_inf_dist_compl_subset_closure hx hs $
metric.mem_closed_ball.2 $ ge_of_eq _, hys⟩, hyd⟩,
rwa dist_comm
end
/-- In a finite dimensional vector space over `ℝ`, the series `∑ x, ∥f x∥` is unconditionally
summable if and only if the series `∑ x, f x` is unconditionally summable. One implication holds in
any complete normed space, while the other holds only in finite dimensional spaces. -/
lemma summable_norm_iff {α E : Type*} [normed_group E] [normed_space ℝ E] [finite_dimensional ℝ E]
{f : α → E} : summable (λ x, ∥f x∥) ↔ summable f :=
begin
refine ⟨summable_of_summable_norm, λ hf, _⟩,
-- First we use a finite basis to reduce the problem to the case `E = fin N → ℝ`
suffices : ∀ {N : ℕ} {g : α → fin N → ℝ}, summable g → summable (λ x, ∥g x∥),
{ obtain v := fin_basis ℝ E,
set e := v.equiv_funL,
have : summable (λ x, ∥e (f x)∥) := this (e.summable.2 hf),
refine summable_of_norm_bounded _ (this.mul_left
↑(nnnorm (e.symm : (fin (finrank ℝ E) → ℝ) →L[ℝ] E))) (λ i, _),
simpa using (e.symm : (fin (finrank ℝ E) → ℝ) →L[ℝ] E).le_op_norm (e $ f i) },
unfreezingI { clear_dependent E },
-- Now we deal with `g : α → fin N → ℝ`
intros N g hg,
have : ∀ i, summable (λ x, ∥g x i∥) := λ i, (pi.summable.1 hg i).abs,
refine summable_of_norm_bounded _ (summable_sum (λ i (hi : i ∈ finset.univ), this i)) (λ x, _),
rw [norm_norm, pi_norm_le_iff],
{ refine λ i, finset.single_le_sum (λ i hi, _) (finset.mem_univ i),
exact norm_nonneg (g x i) },
{ exact finset.sum_nonneg (λ _ _, norm_nonneg _) }
end
lemma summable_of_is_O' {ι E F : Type*} [normed_group E] [complete_space E] [normed_group F]
[normed_space ℝ F] [finite_dimensional ℝ F] {f : ι → E} {g : ι → F}
(hg : summable g) (h : is_O f g cofinite) : summable f :=
summable_of_is_O (summable_norm_iff.mpr hg) h.norm_right
lemma summable_of_is_O_nat' {E F : Type*} [normed_group E] [complete_space E] [normed_group F]
[normed_space ℝ F] [finite_dimensional ℝ F] {f : ℕ → E} {g : ℕ → F}
(hg : summable g) (h : is_O f g at_top) : summable f :=
summable_of_is_O_nat (summable_norm_iff.mpr hg) h.norm_right
lemma summable_of_is_equivalent {ι E : Type*} [normed_group E] [normed_space ℝ E]
[finite_dimensional ℝ E] {f : ι → E} {g : ι → E}
(hg : summable g) (h : f ~[cofinite] g) : summable f :=
hg.trans_sub (summable_of_is_O' hg h.is_o.is_O)
lemma summable_of_is_equivalent_nat {E : Type*} [normed_group E] [normed_space ℝ E]
[finite_dimensional ℝ E] {f : ℕ → E} {g : ℕ → E}
(hg : summable g) (h : f ~[at_top] g) : summable f :=
hg.trans_sub (summable_of_is_O_nat' hg h.is_o.is_O)
lemma is_equivalent.summable_iff {ι E : Type*} [normed_group E] [normed_space ℝ E]
[finite_dimensional ℝ E] {f : ι → E} {g : ι → E}
(h : f ~[cofinite] g) : summable f ↔ summable g :=
⟨λ hf, summable_of_is_equivalent hf h.symm, λ hg, summable_of_is_equivalent hg h⟩
lemma is_equivalent.summable_iff_nat {E : Type*} [normed_group E] [normed_space ℝ E]
[finite_dimensional ℝ E] {f : ℕ → E} {g : ℕ → E}
(h : f ~[at_top] g) : summable f ↔ summable g :=
⟨λ hf, summable_of_is_equivalent_nat hf h.symm, λ hg, summable_of_is_equivalent_nat hg h⟩
|
7707c5ed762d5c310e8c4e67e5206cf40ad4a3b8 | 35677d2df3f081738fa6b08138e03ee36bc33cad | /src/tactic/localized.lean | 119dd22d92ef51e359e2d9e5d881ad60ade86ad7 | [
"Apache-2.0"
] | permissive | gebner/mathlib | eab0150cc4f79ec45d2016a8c21750244a2e7ff0 | cc6a6edc397c55118df62831e23bfbd6e6c6b4ab | refs/heads/master | 1,625,574,853,976 | 1,586,712,827,000 | 1,586,712,827,000 | 99,101,412 | 1 | 0 | Apache-2.0 | 1,586,716,389,000 | 1,501,667,958,000 | Lean | UTF-8 | Lean | false | false | 5,304 | lean | /-
Copyright (c) 2019 Floris van Doorn. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Floris van Doorn
-/
import tactic.core meta.rb_map
/-!
# Localized notation
This consists of two user-commands which allow you to declare notation and commands localized to a
namespace.
* Declare notation which is localized to a namespace using:
```lean
localized "infix ` ⊹ `:60 := my_add" in my.add
```
* After this command it will be available in the same section/namespace/file, just as if you wrote
`local infix ` ⊹ `:60 := my_add`
* You can open it in other places. The following command will declare the notation again as local
notation in that section/namespace/files:
```lean
open_locale my.add
```
* More generally, the following will declare all localized notation in the specified namespaces.
```lean
open_locale namespace1 namespace2 ...
```
* You can also declare other localized commands, like local attributes
```lean
localized "attribute [simp] le_refl" in le
```
The code is inspired by code from Gabriel Ebner from the
[hott3 repository](https://github.com/gebner/hott3).
-/
open lean lean.parser interactive tactic native
reserve notation `localized`
@[user_attribute]
meta def localized_attr : user_attribute (rb_lmap name string) unit := {
name := "_localized",
descr := "(interal) attribute that flags localized commands",
cache_cfg := ⟨λ ns, (do dcls ← ns.mmap (λ n, mk_const n >>= eval_expr (name × string)),
return $ rb_lmap.of_list dcls), []⟩
}
/-- Get all commands in the given notation namespace and return them as a list of strings -/
meta def get_localized (ns : list name) : tactic (list string) :=
do m ← localized_attr.get_cache,
return (ns.bind $ λ nm, m.find nm)
/-- Execute all commands in the given notation namespace -/
@[user_command] meta def open_locale_cmd (meta_info : decl_meta_info)
(_ : parse $ tk "open_locale") : parser unit :=
do ns ← many ident,
cmds ← get_localized ns,
cmds.mmap' emit_code_here
/-- Add a new command to a notation namespace and execute it right now.
The new command is added as a declaration to the environment with name `_localized_decl.<number>`.
This declaration has attribute `_localized` and as value a name-string pair. -/
@[user_command] meta def localized_cmd (meta_info : decl_meta_info)
(_ : parse $ tk "localized") : parser unit :=
do cmd ← parser.pexpr, cmd ← i_to_expr cmd, cmd ← eval_expr string cmd,
let cmd := "local " ++ cmd,
emit_code_here cmd,
tk "in",
nm ← ident,
env ← get_env,
let dummy_decl_name := mk_num_name `_localized_decl
((string.hash (cmd ++ nm.to_string) + env.fingerprint) % unsigned_sz),
add_decl (declaration.defn dummy_decl_name [] `(name × string)
(reflect (⟨nm, cmd⟩ : name × string)) (reducibility_hints.regular 1 tt) ff),
localized_attr.set dummy_decl_name unit.star tt
/--
This consists of two user-commands which allow you to declare notation and commands localized to a
namespace.
* Declare notation which is localized to a namespace using:
```lean
localized \"infix ` ⊹ `:60 := my_add\" in my.add
```
* After this command it will be available in the same section/namespace/file, just as if you wrote
`local infix ` ⊹ `:60 := my_add`
* You can open it in other places. The following command will declare the notation again as local
notation in that section/namespace/files:
```lean
open_locale my.add
```
* More generally, the following will declare all localized notation in the specified namespaces.
```lean
open_locale namespace1 namespace2 ...
```
* You can also declare other localized commands, like local attributes
```lean
localized \"attribute [simp] le_refl\" in le
```
* To see all localized commands in a given namespace, run:
```lean
run_cmd print_localized_commands [`my.add].
```
* To see a list of all namespaces with localized commands, run:
```lean
run_cmd do
m ← localized_attr.get_cache,
tactic.trace m.keys -- change to `tactic.trace m.to_list`
-- to list all the commands in each namespace
```
* Warning 1: as a limitation on user commands, you cannot put `open_locale` directly after your
imports. You have to write another command first (e.g. `open`, `namespace`, `universe variables`,
`noncomputable theory`, `run_cmd tactic.skip`, ...).
* Warning 2: You have to fully specify the names used in localized notation, so that the localized
notation also works when the appropriate namespaces are not opened.
-/
add_tactic_doc
{ name := "localized notation",
category := doc_category.cmd,
decl_names := [`localized_cmd, `open_locale_cmd],
tags := ["notation", "type classes"] }
/-- Print all commands in a given notation namespace -/
meta def print_localized_commands (ns : list name) : tactic unit :=
do cmds ← get_localized ns, cmds.mmap' trace
-- you can run `open_locale classical` to get the decidability of all propositions.
localized "attribute [instance, priority 9] classical.prop_decidable" in classical
localized "postfix `?`:9001 := optional" in parser
localized "postfix *:9001 := lean.parser.many" in parser
|
4495375518f4fa56541b44d6edddc44195b4cb97 | 80cc5bf14c8ea85ff340d1d747a127dcadeb966f | /src/ring_theory/ideal/over.lean | 325c3d47912b7b245a894adf05db8c0a568c1b46 | [
"Apache-2.0"
] | permissive | lacker/mathlib | f2439c743c4f8eb413ec589430c82d0f73b2d539 | ddf7563ac69d42cfa4a1bfe41db1fed521bd795f | refs/heads/master | 1,671,948,326,773 | 1,601,479,268,000 | 1,601,479,268,000 | 298,686,743 | 0 | 0 | Apache-2.0 | 1,601,070,794,000 | 1,601,070,794,000 | null | UTF-8 | Lean | false | false | 10,668 | lean | /-
Copyright (c) 2020 Anne Baanen. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Author: Anne Baanen
-/
import ring_theory.algebraic
import ring_theory.localization
/-!
# Ideals over/under ideals
This file concerns ideals lying over other ideals.
Let `f : R →+* S` be a ring homomorphism (typically a ring extension), `I` an ideal of `R` and
`J` an ideal of `S`. We say `J` lies over `I` (and `I` under `J`) if `I` is the `f`-preimage of `J`.
This is expressed here by writing `I = J.comap f`.
## Implementation notes
The proofs of the `comap_ne_bot` and `comap_lt_comap` families use an approach
specific for their situation: we construct an element in `I.comap f` from the
coefficients of a minimal polynomial.
Once mathlib has more material on the localization at a prime ideal, the results
can be proven using more general going-up/going-down theory.
-/
variables {R : Type*} [comm_ring R]
namespace ideal
open polynomial
open submodule
section comm_ring
variables {S : Type*} [comm_ring S] {f : R →+* S} {I J : ideal S}
lemma coeff_zero_mem_comap_of_root_mem_of_eval_mem {r : S} (hr : r ∈ I) {p : polynomial R}
(hp : p.eval₂ f r ∈ I) : p.coeff 0 ∈ I.comap f :=
begin
rw [←p.div_X_mul_X_add, eval₂_add, eval₂_C, eval₂_mul, eval₂_X] at hp,
refine mem_comap.mpr ((I.add_mem_iff_right _).mp hp),
exact I.mul_mem_left hr
end
lemma coeff_zero_mem_comap_of_root_mem {r : S} (hr : r ∈ I) {p : polynomial R}
(hp : p.eval₂ f r = 0) : p.coeff 0 ∈ I.comap f :=
coeff_zero_mem_comap_of_root_mem_of_eval_mem hr (hp.symm ▸ I.zero_mem)
lemma exists_coeff_ne_zero_mem_comap_of_non_zero_divisor_root_mem {r : S}
(r_non_zero_divisor : ∀ {x}, x * r = 0 → x = 0) (hr : r ∈ I)
{p : polynomial R} : ∀ (p_ne_zero : p ≠ 0) (hp : p.eval₂ f r = 0),
∃ i, p.coeff i ≠ 0 ∧ p.coeff i ∈ I.comap f :=
begin
refine p.rec_on_horner _ _ _,
{ intro h, contradiction },
{ intros p a coeff_eq_zero a_ne_zero ih p_ne_zero hp,
refine ⟨0, _, coeff_zero_mem_comap_of_root_mem hr hp⟩,
simp [coeff_eq_zero, a_ne_zero] },
{ intros p p_nonzero ih mul_nonzero hp,
rw [eval₂_mul, eval₂_X] at hp,
obtain ⟨i, hi, mem⟩ := ih p_nonzero (r_non_zero_divisor hp),
refine ⟨i + 1, _, _⟩; simp [hi, mem] }
end
end comm_ring
section integral_domain
variables {S : Type*} [integral_domain S] {f : R →+* S} {I J : ideal S}
lemma exists_coeff_ne_zero_mem_comap_of_root_mem {r : S} (r_ne_zero : r ≠ 0) (hr : r ∈ I)
{p : polynomial R} : ∀ (p_ne_zero : p ≠ 0) (hp : p.eval₂ f r = 0),
∃ i, p.coeff i ≠ 0 ∧ p.coeff i ∈ I.comap f :=
exists_coeff_ne_zero_mem_comap_of_non_zero_divisor_root_mem
(λ _ h, or.resolve_right (mul_eq_zero.mp h) r_ne_zero) hr
lemma exists_coeff_mem_comap_sdiff_comap_of_root_mem_sdiff
[is_prime I] (hIJ : I ≤ J) {r : S} (hr : r ∈ (J : set S) \ I)
{p : polynomial R} (p_ne_zero : p.map (quotient.mk (I.comap f)) ≠ 0) (hpI : p.eval₂ f r ∈ I) :
∃ i, p.coeff i ∈ (J.comap f : set R) \ (I.comap f) :=
begin
obtain ⟨hrJ, hrI⟩ := hr,
have rbar_ne_zero : quotient.mk I r ≠ 0 := mt (quotient.mk_eq_zero I).mp hrI,
have rbar_mem_J : quotient.mk I r ∈ J.map (quotient.mk I) := mem_map_of_mem hrJ,
have quotient_f : ∀ x ∈ I.comap f, (quotient.mk I).comp f x = 0,
{ simp [quotient.eq_zero_iff_mem] },
have rbar_root : (p.map (quotient.mk (I.comap f))).eval₂
(quotient.lift (I.comap f) _ quotient_f)
(quotient.mk I r) = 0,
{ convert quotient.eq_zero_iff_mem.mpr hpI,
exact trans (eval₂_map _ _ _) (hom_eval₂ p f (quotient.mk I) r).symm },
obtain ⟨i, ne_zero, mem⟩ :=
exists_coeff_ne_zero_mem_comap_of_root_mem rbar_ne_zero rbar_mem_J p_ne_zero rbar_root,
rw coeff_map at ne_zero mem,
refine ⟨i, (mem_quotient_iff_mem hIJ).mp _, mt _ ne_zero⟩,
{ simpa using mem },
simp [quotient.eq_zero_iff_mem],
end
lemma comap_ne_bot_of_root_mem {r : S} (r_ne_zero : r ≠ 0) (hr : r ∈ I)
{p : polynomial R} (p_ne_zero : p ≠ 0) (hp : p.eval₂ f r = 0) :
I.comap f ≠ ⊥ :=
λ h, let ⟨i, hi, mem⟩ := exists_coeff_ne_zero_mem_comap_of_root_mem r_ne_zero hr p_ne_zero hp in
absurd (mem_bot.mp (eq_bot_iff.mp h mem)) hi
lemma comap_lt_comap_of_root_mem_sdiff [I.is_prime] (hIJ : I ≤ J)
{r : S} (hr : r ∈ (J : set S) \ I)
{p : polynomial R} (p_ne_zero : p.map (quotient.mk (I.comap f)) ≠ 0) (hp : p.eval₂ f r ∈ I) :
I.comap f < J.comap f :=
let ⟨i, hJ, hI⟩ := exists_coeff_mem_comap_sdiff_comap_of_root_mem_sdiff hIJ hr p_ne_zero hp
in lt_iff_le_and_exists.mpr ⟨comap_mono hIJ, p.coeff i, hJ, hI⟩
variables [algebra R S]
lemma comap_ne_bot_of_algebraic_mem {x : S}
(x_ne_zero : x ≠ 0) (x_mem : x ∈ I) (hx : is_algebraic R x) : I.comap (algebra_map R S) ≠ ⊥ :=
let ⟨p, p_ne_zero, hp⟩ := hx
in comap_ne_bot_of_root_mem x_ne_zero x_mem p_ne_zero hp
lemma comap_ne_bot_of_integral_mem [nontrivial R] {x : S}
(x_ne_zero : x ≠ 0) (x_mem : x ∈ I) (hx : is_integral R x) : I.comap (algebra_map R S) ≠ ⊥ :=
comap_ne_bot_of_algebraic_mem x_ne_zero x_mem (hx.is_algebraic R)
lemma mem_of_one_mem (h : (1 : S) ∈ I) (x) : x ∈ I :=
(I.eq_top_iff_one.mpr h).symm ▸ mem_top
lemma comap_lt_comap_of_integral_mem_sdiff [hI : I.is_prime] (hIJ : I ≤ J)
{x : S} (mem : x ∈ (J : set S) \ I) (integral : is_integral R x) :
I.comap (algebra_map R S) < J.comap (algebra_map _ _) :=
begin
obtain ⟨p, p_monic, hpx⟩ := integral,
refine comap_lt_comap_of_root_mem_sdiff hIJ mem _ _,
swap,
{ apply map_monic_ne_zero p_monic,
apply quotient.nontrivial,
apply mt comap_eq_top_iff.mp,
apply hI.1 },
convert I.zero_mem
end
lemma is_maximal_of_is_integral_of_is_maximal_comap
(hRS : ∀ (x : S), is_integral R x) (I : ideal S) [I.is_prime]
(hI : is_maximal (I.comap (algebra_map R S))) : is_maximal I :=
⟨ mt comap_eq_top_iff.mpr hI.1,
λ J I_lt_J, let ⟨I_le_J, x, hxJ, hxI⟩ := lt_iff_le_and_exists.mp I_lt_J
in comap_eq_top_iff.mp (hI.2 _ (comap_lt_comap_of_integral_mem_sdiff I_le_J ⟨hxJ, hxI⟩ (hRS x))) ⟩
lemma is_maximal_comap_of_is_integral_of_is_maximal (hRS_integral : ∀ (x : S), is_integral R x)
(I : ideal S) [hI : I.is_maximal] : is_maximal (I.comap (algebra_map R S)) :=
begin
refine quotient.maximal_of_is_field _ _,
haveI : is_prime (I.comap (algebra_map R S)) := comap_is_prime _ _,
exact is_field_of_is_integral_of_is_field (is_integral_quotient_of_is_integral hRS_integral)
algebra_map_quotient_injective (by rwa ← quotient.maximal_ideal_iff_is_field_quotient),
end
lemma integral_closure.comap_ne_bot [nontrivial R] {I : ideal (integral_closure R S)}
(I_ne_bot : I ≠ ⊥) : I.comap (algebra_map R (integral_closure R S)) ≠ ⊥ :=
let ⟨x, x_mem, x_ne_zero⟩ := I.ne_bot_iff.mp I_ne_bot in
comap_ne_bot_of_integral_mem x_ne_zero x_mem (integral_closure.is_integral x)
lemma integral_closure.eq_bot_of_comap_eq_bot [nontrivial R] {I : ideal (integral_closure R S)} :
I.comap (algebra_map R (integral_closure R S)) = ⊥ → I = ⊥ :=
imp_of_not_imp_not _ _ integral_closure.comap_ne_bot
lemma integral_closure.comap_lt_comap {I J : ideal (integral_closure R S)} [I.is_prime]
(I_lt_J : I < J) :
I.comap (algebra_map R (integral_closure R S)) < J.comap (algebra_map _ _) :=
let ⟨I_le_J, x, hxJ, hxI⟩ := lt_iff_le_and_exists.mp I_lt_J in
comap_lt_comap_of_integral_mem_sdiff I_le_J ⟨hxJ, hxI⟩ (integral_closure.is_integral x)
lemma integral_closure.is_maximal_of_is_maximal_comap
(I : ideal (integral_closure R S)) [I.is_prime]
(hI : is_maximal (I.comap (algebra_map R (integral_closure R S)))) : is_maximal I :=
is_maximal_of_is_integral_of_is_maximal_comap (λ x, integral_closure.is_integral x) I hI
/-- `comap (algebra_map R S)` is a surjection from the prime spec of `R` to prime spec of `S`.
`hP : (algebra_map R S).ker ≤ P` is a slight generalization of the extension being injective -/
lemma exists_ideal_over_prime_of_is_integral' (H : ∀ x : S, is_integral R x)
(P : ideal R) [is_prime P] (hP : (algebra_map R S).ker ≤ P) :
∃ (Q : ideal S), is_prime Q ∧ P = Q.comap (algebra_map R S) :=
begin
have hP0 : (0 : S) ∉ algebra.algebra_map_submonoid S P.prime_compl,
{ rintro ⟨x, ⟨hx, x0⟩⟩,
exact absurd (hP x0) hx },
let Rₚ := localization P.prime_compl,
let f := localization.of P.prime_compl,
let Sₚ := localization (algebra.algebra_map_submonoid S P.prime_compl),
let g := localization.of (algebra.algebra_map_submonoid S P.prime_compl),
letI : integral_domain (localization (algebra.algebra_map_submonoid S P.prime_compl)) :=
localization_map.integral_domain_localization (le_non_zero_divisors_of_domain hP0),
obtain ⟨Qₚ : ideal Sₚ, Qₚ_maximal⟩ := @exists_maximal Sₚ _ (by apply_instance),
haveI Qₚ_max : is_maximal (comap _ Qₚ) := @is_maximal_comap_of_is_integral_of_is_maximal Rₚ _ Sₚ _
(localization_algebra P.prime_compl f g)
(is_integral_localization f g H) _ Qₚ_maximal,
refine ⟨comap g.to_map Qₚ, ⟨comap_is_prime g.to_map Qₚ, _⟩⟩,
convert localization.at_prime.comap_maximal_ideal.symm,
rw [comap_comap, ← local_ring.eq_maximal_ideal Qₚ_max, ← f.map_comp _],
refl
end
/-- More general going-up theorem than `exists_ideal_over_prime_of_is_integral'`.
TODO: Version of going-up theorem with arbitrary length chains (by induction on this)?
Not sure how best to write an ascending chain in Lean -/
theorem exists_ideal_over_prime_of_is_integral (H : ∀ x : S, is_integral R x)
(P : ideal R) [is_prime P] (I : ideal S) [is_prime I] (hIP : I.comap (algebra_map R S) ≤ P) :
∃ Q ≥ I, is_prime Q ∧ P = Q.comap (algebra_map R S) :=
begin
obtain ⟨Q' : ideal I.quotient, ⟨Q'_prime, hQ'⟩⟩ := @exists_ideal_over_prime_of_is_integral'
(I.comap (algebra_map R S)).quotient _ I.quotient _
ideal.quotient_algebra
(is_integral_quotient_of_is_integral H)
(map (quotient.mk (I.comap (algebra_map R S))) P)
(map_is_prime_of_surjective quotient.mk_surjective (by simp [hIP]))
(le_trans
(le_of_eq ((ring_hom.injective_iff_ker_eq_bot _).1 algebra_map_quotient_injective))
bot_le),
haveI := Q'_prime,
refine ⟨Q'.comap _, le_trans (le_of_eq mk_ker.symm) (ker_le_comap _), ⟨comap_is_prime _ Q', _⟩⟩,
rw comap_comap,
refine trans _ (trans (congr_arg (comap (quotient.mk (comap (algebra_map R S) I))) hQ') _),
{ refine trans ((sup_eq_left.2 _).symm) (comap_map_of_surjective _ quotient.mk_surjective _).symm,
simpa [← ring_hom.ker_eq_comap_bot] using hIP},
{ simpa [comap_comap] },
end
end integral_domain
end ideal
|
315d1c63752b72c5f4dc59d0a0684907c5d60724 | 55c7fc2bf55d496ace18cd6f3376e12bb14c8cc5 | /src/data/finset/order.lean | ad0fd6c6fe576c4cfe303445fea2d42524f175da | [
"Apache-2.0"
] | permissive | dupuisf/mathlib | 62de4ec6544bf3b79086afd27b6529acfaf2c1bb | 8582b06b0a5d06c33ee07d0bdf7c646cae22cf36 | refs/heads/master | 1,669,494,854,016 | 1,595,692,409,000 | 1,595,692,409,000 | 272,046,630 | 0 | 0 | Apache-2.0 | 1,592,066,143,000 | 1,592,066,142,000 | null | UTF-8 | Lean | false | false | 732 | lean | import data.finset.basic
universes u v w
variables {α : Type u}
theorem directed.finset_le {r : α → α → Prop} [is_trans α r]
{ι} (hι : nonempty ι) {f : ι → α} (D : directed r f) (s : finset ι) :
∃ z, ∀ i ∈ s, r (f i) (f z) :=
show ∃ z, ∀ i ∈ s.1, r (f i) (f z), from
multiset.induction_on s.1 (let ⟨z⟩ := hι in ⟨z, λ _, false.elim⟩) $
λ i s ⟨j, H⟩, let ⟨k, h₁, h₂⟩ := D i j in
⟨k, λ a h, or.cases_on (multiset.mem_cons.1 h)
(λ h, h.symm ▸ h₁)
(λ h, trans (H _ h) h₂)⟩
theorem finset.exists_le {α : Type u} [nonempty α] [directed_order α] (s : finset α) :
∃ M, ∀ i ∈ s, i ≤ M :=
directed.finset_le (by apply_instance) directed_order.directed s
|
40cb2406db77e15187e754253b799cf7ce8b1cc7 | 46125763b4dbf50619e8846a1371029346f4c3db | /src/topology/metric_space/gromov_hausdorff.lean | df1fb3ae1082a90174e35af1862d55d7e80b73f3 | [
"Apache-2.0"
] | permissive | thjread/mathlib | a9d97612cedc2c3101060737233df15abcdb9eb1 | 7cffe2520a5518bba19227a107078d83fa725ddc | refs/heads/master | 1,615,637,696,376 | 1,583,953,063,000 | 1,583,953,063,000 | 246,680,271 | 0 | 0 | Apache-2.0 | 1,583,960,875,000 | 1,583,960,875,000 | null | UTF-8 | Lean | false | false | 56,033 | lean | /-
Copyright (c) 2019 Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Author: Sébastien Gouëzel
-/
import topology.metric_space.closeds set_theory.cardinal topology.metric_space.gromov_hausdorff_realized
topology.metric_space.completion
/-!
# Gromov-Hausdorff distance
This file defines the Gromov-Hausdorff distance on the space of nonempty compact metric spaces
up to isometry.
We introduce the space of all nonempty compact metric spaces, up to isometry,
called `GH_space`, and endow it with a metric space structure. The distance,
known as the Gromov-Hausdorff distance, is defined as follows: given two
nonempty compact spaces `X` and `Y`, their distance is the minimum Hausdorff distance
between all possible isometric embeddings of `X` and `Y` in all metric spaces.
To define properly the Gromov-Hausdorff space, we consider the non-empty
compact subsets of `ℓ^∞(ℝ)` up to isometry, which is a well-defined type,
and define the distance as the infimum of the Hausdorff distance over all
embeddings in `ℓ^∞(ℝ)`. We prove that this coincides with the previous description,
as all separable metric spaces embed isometrically into `ℓ^∞(ℝ)`, through an
embedding called the Kuratowski embedding.
To prove that we have a distance, we should show that if spaces can be coupled
to be arbitrarily close, then they are isometric. More generally, the Gromov-Hausdorff
distance is realized, i.e., there is a coupling for which the Hausdorff distance
is exactly the Gromov-Hausdorff distance. This follows from a compactness
argument, essentially following from Arzela-Ascoli.
## Main results
We prove the most important properties of the Gromov-Hausdorff space: it is a polish space,
i.e., it is complete and second countable. We also prove the Gromov compactness criterion.
-/
noncomputable theory
open_locale classical topological_space
universes u v w
open classical lattice set function topological_space filter metric quotient
open bounded_continuous_function nat Kuratowski_embedding
open sum (inl inr)
set_option class.instance_max_depth 50
local attribute [instance] metric_space_sum
namespace Gromov_Hausdorff
section GH_space
/- In this section, we define the Gromov-Hausdorff space, denoted `GH_space` as the quotient
of nonempty compact subsets of `ℓ^∞(ℝ)` by identifying isometric sets.
Using the Kuratwoski embedding, we get a canonical map `to_GH_space` mapping any nonempty
compact type to `GH_space`. -/
/-- Equivalence relation identifying two nonempty compact sets which are isometric -/
private definition isometry_rel : nonempty_compacts ℓ_infty_ℝ → nonempty_compacts ℓ_infty_ℝ → Prop :=
λx y, nonempty (x.val ≃ᵢ y.val)
/-- This is indeed an equivalence relation -/
private lemma is_equivalence_isometry_rel : equivalence isometry_rel :=
⟨λx, ⟨isometric.refl _⟩, λx y ⟨e⟩, ⟨e.symm⟩, λ x y z ⟨e⟩ ⟨f⟩, ⟨e.trans f⟩⟩
/-- setoid instance identifying two isometric nonempty compact subspaces of ℓ^∞(ℝ) -/
instance isometry_rel.setoid : setoid (nonempty_compacts ℓ_infty_ℝ) :=
setoid.mk isometry_rel is_equivalence_isometry_rel
/-- The Gromov-Hausdorff space -/
definition GH_space : Type := quotient (isometry_rel.setoid)
/-- Map any nonempty compact type to `GH_space` -/
definition to_GH_space (α : Type u) [metric_space α] [compact_space α] [nonempty α] : GH_space :=
⟦nonempty_compacts.Kuratowski_embedding α⟧
instance : inhabited GH_space := ⟨quot.mk _ ⟨{0}, by simp⟩⟩
/-- A metric space representative of any abstract point in `GH_space` -/
definition GH_space.rep (p : GH_space) : Type := (quot.out p).val
lemma eq_to_GH_space_iff {α : Type u} [metric_space α] [compact_space α] [nonempty α] {p : nonempty_compacts ℓ_infty_ℝ} :
⟦p⟧ = to_GH_space α ↔ ∃Ψ : α → ℓ_infty_ℝ, isometry Ψ ∧ range Ψ = p.val :=
begin
simp only [to_GH_space, quotient.eq],
split,
{ assume h,
rcases setoid.symm h with ⟨e⟩,
have f := (Kuratowski_embedding.isometry α).isometric_on_range.trans e,
use λx, f x,
split,
{ apply isometry_subtype_val.comp f.isometry },
{ rw [range_comp, f.range_coe, set.image_univ, set.range_coe_subtype] } },
{ rintros ⟨Ψ, ⟨isomΨ, rangeΨ⟩⟩,
have f := ((Kuratowski_embedding.isometry α).isometric_on_range.symm.trans
isomΨ.isometric_on_range).symm,
have E : (range Ψ ≃ᵢ (nonempty_compacts.Kuratowski_embedding α).val) = (p.val ≃ᵢ range (Kuratowski_embedding α)),
by { dunfold nonempty_compacts.Kuratowski_embedding, rw [rangeΨ]; refl },
have g := cast E f,
exact ⟨g⟩ }
end
lemma eq_to_GH_space {p : nonempty_compacts ℓ_infty_ℝ} : ⟦p⟧ = to_GH_space p.val :=
begin
refine eq_to_GH_space_iff.2 ⟨((λx, x) : p.val → ℓ_infty_ℝ), _, subtype.val_range⟩,
apply isometry_subtype_val
end
section
local attribute [reducible] GH_space.rep
instance rep_GH_space_metric_space {p : GH_space} : metric_space (p.rep) :=
by apply_instance
instance rep_GH_space_compact_space {p : GH_space} : compact_space (p.rep) :=
by apply_instance
instance rep_GH_space_nonempty {p : GH_space} : nonempty (p.rep) :=
by apply_instance
end
lemma GH_space.to_GH_space_rep (p : GH_space) : to_GH_space (p.rep) = p :=
begin
change to_GH_space (quot.out p).val = p,
rw ← eq_to_GH_space,
exact quot.out_eq p
end
/-- Two nonempty compact spaces have the same image in `GH_space` if and only if they are isometric -/
lemma to_GH_space_eq_to_GH_space_iff_isometric {α : Type u} [metric_space α] [compact_space α] [nonempty α]
{β : Type u} [metric_space β] [compact_space β] [nonempty β] :
to_GH_space α = to_GH_space β ↔ nonempty (α ≃ᵢ β) :=
⟨begin
simp only [to_GH_space, quotient.eq],
assume h,
rcases h with e,
have I : ((nonempty_compacts.Kuratowski_embedding α).val ≃ᵢ (nonempty_compacts.Kuratowski_embedding β).val)
= ((range (Kuratowski_embedding α)) ≃ᵢ (range (Kuratowski_embedding β))),
by { dunfold nonempty_compacts.Kuratowski_embedding, refl },
have e' := cast I e,
have f := (Kuratowski_embedding.isometry α).isometric_on_range,
have g := (Kuratowski_embedding.isometry β).isometric_on_range.symm,
have h := (f.trans e').trans g,
exact ⟨h⟩
end,
begin
rintros ⟨e⟩,
simp only [to_GH_space, quotient.eq],
have f := (Kuratowski_embedding.isometry α).isometric_on_range.symm,
have g := (Kuratowski_embedding.isometry β).isometric_on_range,
have h := (f.trans e).trans g,
have I : ((range (Kuratowski_embedding α)) ≃ᵢ (range (Kuratowski_embedding β))) =
((nonempty_compacts.Kuratowski_embedding α).val ≃ᵢ (nonempty_compacts.Kuratowski_embedding β).val),
by { dunfold nonempty_compacts.Kuratowski_embedding, refl },
have h' := cast I h,
exact ⟨h'⟩
end⟩
/-- Distance on `GH_space`: the distance between two nonempty compact spaces is the infimum
Hausdorff distance between isometric copies of the two spaces in a metric space. For the definition,
we only consider embeddings in `ℓ^∞(ℝ)`, but we will prove below that it works for all spaces. -/
instance : has_dist (GH_space) :=
{ dist := λx y, Inf ((λp : nonempty_compacts ℓ_infty_ℝ × nonempty_compacts ℓ_infty_ℝ, Hausdorff_dist p.1.val p.2.val) ''
(set.prod {a | ⟦a⟧ = x} {b | ⟦b⟧ = y})) }
/-- The Gromov-Hausdorff distance between two nonempty compact metric spaces, equal by definition to
the distance of the equivalence classes of these spaces in the Gromov-Hausdorff space. -/
def GH_dist (α : Type u) (β : Type v) [metric_space α] [nonempty α] [compact_space α]
[metric_space β] [nonempty β] [compact_space β] : ℝ := dist (to_GH_space α) (to_GH_space β)
lemma dist_GH_dist (p q : GH_space) : dist p q = GH_dist (p.rep) (q.rep) :=
by rw [GH_dist, p.to_GH_space_rep, q.to_GH_space_rep]
/-- The Gromov-Hausdorff distance between two spaces is bounded by the Hausdorff distance
of isometric copies of the spaces, in any metric space. -/
theorem GH_dist_le_Hausdorff_dist {α : Type u} [metric_space α] [compact_space α] [nonempty α]
{β : Type v} [metric_space β] [compact_space β] [nonempty β]
{γ : Type w} [metric_space γ] {Φ : α → γ} {Ψ : β → γ} (ha : isometry Φ) (hb : isometry Ψ) :
GH_dist α β ≤ Hausdorff_dist (range Φ) (range Ψ) :=
begin
/- For the proof, we want to embed `γ` in `ℓ^∞(ℝ)`, to say that the Hausdorff distance is realized
in `ℓ^∞(ℝ)` and therefore bounded below by the Gromov-Hausdorff-distance. However, `γ` is not
separable in general. We restrict to the union of the images of `α` and `β` in `γ`, which is
separable and therefore embeddable in `ℓ^∞(ℝ)`. -/
rcases exists_mem_of_nonempty α with ⟨xα, _⟩,
letI : inhabited α := ⟨xα⟩,
letI : inhabited β := classical.inhabited_of_nonempty (by assumption),
let s : set γ := (range Φ) ∪ (range Ψ),
let Φ' : α → subtype s := λy, ⟨Φ y, mem_union_left _ (mem_range_self _)⟩,
let Ψ' : β → subtype s := λy, ⟨Ψ y, mem_union_right _ (mem_range_self _)⟩,
have IΦ' : isometry Φ' := λx y, ha x y,
have IΨ' : isometry Ψ' := λx y, hb x y,
have : compact s, from (compact_range ha.continuous).union (compact_range hb.continuous),
letI : metric_space (subtype s) := by apply_instance,
haveI : compact_space (subtype s) := ⟨compact_iff_compact_univ.1 ‹compact s›⟩,
haveI : nonempty (subtype s) := ⟨Φ' xα⟩,
have ΦΦ' : Φ = subtype.val ∘ Φ', by { funext, refl },
have ΨΨ' : Ψ = subtype.val ∘ Ψ', by { funext, refl },
have : Hausdorff_dist (range Φ) (range Ψ) = Hausdorff_dist (range Φ') (range Ψ'),
{ rw [ΦΦ', ΨΨ', range_comp, range_comp],
exact Hausdorff_dist_image (isometry_subtype_val) },
rw this,
-- Embed `s` in `ℓ^∞(ℝ)` through its Kuratowski embedding
let F := Kuratowski_embedding (subtype s),
have : Hausdorff_dist (F '' (range Φ')) (F '' (range Ψ')) = Hausdorff_dist (range Φ') (range Ψ') :=
Hausdorff_dist_image (Kuratowski_embedding.isometry _),
rw ← this,
-- Let `A` and `B` be the images of `α` and `β` under this embedding. They are in `ℓ^∞(ℝ)`, and
-- their Hausdorff distance is the same as in the original space.
let A : nonempty_compacts ℓ_infty_ℝ := ⟨F '' (range Φ'), ⟨(range_nonempty _).image _,
(compact_range IΦ'.continuous).image (Kuratowski_embedding.isometry _).continuous⟩⟩,
let B : nonempty_compacts ℓ_infty_ℝ := ⟨F '' (range Ψ'), ⟨(range_nonempty _).image _,
(compact_range IΨ'.continuous).image (Kuratowski_embedding.isometry _).continuous⟩⟩,
have Aα : ⟦A⟧ = to_GH_space α,
{ rw eq_to_GH_space_iff,
exact ⟨λx, F (Φ' x), ⟨(Kuratowski_embedding.isometry _).comp IΦ', by rw range_comp⟩⟩ },
have Bβ : ⟦B⟧ = to_GH_space β,
{ rw eq_to_GH_space_iff,
exact ⟨λx, F (Ψ' x), ⟨(Kuratowski_embedding.isometry _).comp IΨ', by rw range_comp⟩⟩ },
refine cInf_le ⟨0,
begin simp [lower_bounds], assume t _ _ _ _ ht, rw ← ht, exact Hausdorff_dist_nonneg end⟩ _,
apply (mem_image _ _ _).2,
existsi (⟨A, B⟩ : nonempty_compacts ℓ_infty_ℝ × nonempty_compacts ℓ_infty_ℝ),
simp [Aα, Bβ]
end
/-- The optimal coupling constructed above realizes exactly the Gromov-Hausdorff distance,
essentially by design. -/
lemma Hausdorff_dist_optimal {α : Type u} [metric_space α] [compact_space α] [nonempty α]
{β : Type v} [metric_space β] [compact_space β] [nonempty β] :
Hausdorff_dist (range (optimal_GH_injl α β)) (range (optimal_GH_injr α β)) = GH_dist α β :=
begin
inhabit α, inhabit β,
/- we only need to check the inequality `≤`, as the other one follows from the previous lemma.
As the Gromov-Hausdorff distance is an infimum, we need to check that the Hausdorff distance
in the optimal coupling is smaller than the Hausdorff distance of any coupling.
First, we check this for couplings which already have small Hausdorff distance: in this
case, the induced "distance" on `α ⊕ β` belongs to the candidates family introduced in the
definition of the optimal coupling, and the conclusion follows from the optimality
of the optimal coupling within this family.
-/
have A : ∀p q : nonempty_compacts (ℓ_infty_ℝ), ⟦p⟧ = to_GH_space α → ⟦q⟧ = to_GH_space β →
Hausdorff_dist (p.val) (q.val) < diam (univ : set α) + 1 + diam (univ : set β) →
Hausdorff_dist (range (optimal_GH_injl α β)) (range (optimal_GH_injr α β)) ≤ Hausdorff_dist (p.val) (q.val),
{ assume p q hp hq bound,
rcases eq_to_GH_space_iff.1 hp with ⟨Φ, ⟨Φisom, Φrange⟩⟩,
rcases eq_to_GH_space_iff.1 hq with ⟨Ψ, ⟨Ψisom, Ψrange⟩⟩,
have I : diam (range Φ ∪ range Ψ) ≤ 2 * diam (univ : set α) + 1 + 2 * diam (univ : set β),
{ rcases exists_mem_of_nonempty α with ⟨xα, _⟩,
have : ∃y ∈ range Ψ, dist (Φ xα) y < diam (univ : set α) + 1 + diam (univ : set β),
{ rw Ψrange,
have : Φ xα ∈ p.val := Φrange ▸ mem_range_self _,
exact exists_dist_lt_of_Hausdorff_dist_lt this bound
(Hausdorff_edist_ne_top_of_nonempty_of_bounded p.2.1 q.2.1 p.2.2.bounded q.2.2.bounded) },
rcases this with ⟨y, hy, dy⟩,
rcases mem_range.1 hy with ⟨z, hzy⟩,
rw ← hzy at dy,
have DΦ : diam (range Φ) = diam (univ : set α) := Φisom.diam_range,
have DΨ : diam (range Ψ) = diam (univ : set β) := Ψisom.diam_range,
calc
diam (range Φ ∪ range Ψ) ≤ diam (range Φ) + dist (Φ xα) (Ψ z) + diam (range Ψ) :
diam_union (mem_range_self _) (mem_range_self _)
... ≤ diam (univ : set α) + (diam (univ : set α) + 1 + diam (univ : set β)) + diam (univ : set β) :
by { rw [DΦ, DΨ], apply add_le_add (add_le_add (le_refl _) (le_of_lt dy)) (le_refl _) }
... = 2 * diam (univ : set α) + 1 + 2 * diam (univ : set β) : by ring },
let f : α ⊕ β → ℓ_infty_ℝ := λx, match x with | inl y := Φ y | inr z := Ψ z end,
let F : (α ⊕ β) × (α ⊕ β) → ℝ := λp, dist (f p.1) (f p.2),
-- check that the induced "distance" is a candidate
have Fgood : F ∈ candidates α β,
{ simp only [candidates, forall_const, and_true, add_comm, eq_self_iff_true, dist_eq_zero,
and_self, set.mem_set_of_eq],
repeat {split},
{ exact λx y, calc
F (inl x, inl y) = dist (Φ x) (Φ y) : rfl
... = dist x y : Φisom.dist_eq },
{ exact λx y, calc
F (inr x, inr y) = dist (Ψ x) (Ψ y) : rfl
... = dist x y : Ψisom.dist_eq },
{ exact λx y, dist_comm _ _ },
{ exact λx y z, dist_triangle _ _ _ },
{ exact λx y, calc
F (x, y) ≤ diam (range Φ ∪ range Ψ) :
begin
have A : ∀z : α ⊕ β, f z ∈ range Φ ∪ range Ψ,
{ assume z,
cases z,
{ apply mem_union_left, apply mem_range_self },
{ apply mem_union_right, apply mem_range_self } },
refine dist_le_diam_of_mem _ (A _) (A _),
rw [Φrange, Ψrange],
exact (p.2.2.union q.2.2).bounded,
end
... ≤ 2 * diam (univ : set α) + 1 + 2 * diam (univ : set β) : I } },
let Fb := candidates_b_of_candidates F Fgood,
have : Hausdorff_dist (range (optimal_GH_injl α β)) (range (optimal_GH_injr α β)) ≤ HD Fb :=
Hausdorff_dist_optimal_le_HD _ _ (candidates_b_of_candidates_mem F Fgood),
refine le_trans this (le_of_forall_le_of_dense (λr hr, _)),
have I1 : ∀x : α, infi (λy:β, Fb (inl x, inr y)) ≤ r,
{ assume x,
have : f (inl x) ∈ p.val, by { rw [← Φrange], apply mem_range_self },
rcases exists_dist_lt_of_Hausdorff_dist_lt this hr
(Hausdorff_edist_ne_top_of_nonempty_of_bounded p.2.1 q.2.1 p.2.2.bounded q.2.2.bounded)
with ⟨z, zq, hz⟩,
have : z ∈ range Ψ, by rwa [← Ψrange] at zq,
rcases mem_range.1 this with ⟨y, hy⟩,
calc infi (λy:β, Fb (inl x, inr y)) ≤ Fb (inl x, inr y) :
cinfi_le (by simpa using HD_below_aux1 0)
... = dist (Φ x) (Ψ y) : rfl
... = dist (f (inl x)) z : by rw hy
... ≤ r : le_of_lt hz },
have I2 : ∀y : β, infi (λx:α, Fb (inl x, inr y)) ≤ r,
{ assume y,
have : f (inr y) ∈ q.val, by { rw [← Ψrange], apply mem_range_self },
rcases exists_dist_lt_of_Hausdorff_dist_lt' this hr
(Hausdorff_edist_ne_top_of_nonempty_of_bounded p.2.1 q.2.1 p.2.2.bounded q.2.2.bounded)
with ⟨z, zq, hz⟩,
have : z ∈ range Φ, by rwa [← Φrange] at zq,
rcases mem_range.1 this with ⟨x, hx⟩,
calc infi (λx:α, Fb (inl x, inr y)) ≤ Fb (inl x, inr y) :
cinfi_le (by simpa using HD_below_aux2 0)
... = dist (Φ x) (Ψ y) : rfl
... = dist z (f (inr y)) : by rw hx
... ≤ r : le_of_lt hz },
simp [HD, csupr_le I1, csupr_le I2] },
/- Get the same inequality for any coupling. If the coupling is quite good, the desired
inequality has been proved above. If it is bad, then the inequality is obvious. -/
have B : ∀p q : nonempty_compacts (ℓ_infty_ℝ), ⟦p⟧ = to_GH_space α → ⟦q⟧ = to_GH_space β →
Hausdorff_dist (range (optimal_GH_injl α β)) (range (optimal_GH_injr α β)) ≤ Hausdorff_dist (p.val) (q.val),
{ assume p q hp hq,
by_cases h : Hausdorff_dist (p.val) (q.val) < diam (univ : set α) + 1 + diam (univ : set β),
{ exact A p q hp hq h },
{ calc Hausdorff_dist (range (optimal_GH_injl α β)) (range (optimal_GH_injr α β)) ≤ HD (candidates_b_dist α β) :
Hausdorff_dist_optimal_le_HD _ _ (candidates_b_dist_mem_candidates_b)
... ≤ diam (univ : set α) + 1 + diam (univ : set β) : HD_candidates_b_dist_le
... ≤ Hausdorff_dist (p.val) (q.val) : not_lt.1 h } },
refine le_antisymm _ _,
{ apply le_cInf,
{ refine (set.nonempty.prod _ _).image _; exact ⟨_, rfl⟩ },
{ rintro b ⟨⟨p, q⟩, ⟨hp, hq⟩, rfl⟩,
exact B p q hp hq } },
{ exact GH_dist_le_Hausdorff_dist (isometry_optimal_GH_injl α β) (isometry_optimal_GH_injr α β) }
end
/-- The Gromov-Hausdorff distance can also be realized by a coupling in `ℓ^∞(ℝ)`, by embedding
the optimal coupling through its Kuratowski embedding. -/
theorem GH_dist_eq_Hausdorff_dist (α : Type u) [metric_space α] [compact_space α] [nonempty α]
(β : Type v) [metric_space β] [compact_space β] [nonempty β] :
∃Φ : α → ℓ_infty_ℝ, ∃Ψ : β → ℓ_infty_ℝ, isometry Φ ∧ isometry Ψ ∧
GH_dist α β = Hausdorff_dist (range Φ) (range Ψ) :=
begin
let F := Kuratowski_embedding (optimal_GH_coupling α β),
let Φ := F ∘ optimal_GH_injl α β,
let Ψ := F ∘ optimal_GH_injr α β,
refine ⟨Φ, Ψ, _, _, _⟩,
{ exact (Kuratowski_embedding.isometry _).comp (isometry_optimal_GH_injl α β) },
{ exact (Kuratowski_embedding.isometry _).comp (isometry_optimal_GH_injr α β) },
{ rw [← image_univ, ← image_univ, image_comp F, image_univ, image_comp F (optimal_GH_injr α β),
image_univ, ← Hausdorff_dist_optimal],
exact (Hausdorff_dist_image (Kuratowski_embedding.isometry _)).symm },
end
-- without the next two lines, `{ exact closed_of_compact (range Φ) hΦ }` in the next
-- proof is very slow, as the `t2_space` instance is very hard to find
local attribute [instance, priority 10] order_topology.t2_space
local attribute [instance, priority 10] order_closed_topology.to_t2_space
/-- The Gromov-Hausdorff distance defines a genuine distance on the Gromov-Hausdorff space. -/
instance GH_space_metric_space : metric_space GH_space :=
{ dist_self := λx, begin
rcases exists_rep x with ⟨y, hy⟩,
refine le_antisymm _ _,
{ apply cInf_le,
{ exact ⟨0, by { rintro b ⟨⟨u, v⟩, ⟨hu, hv⟩, rfl⟩, exact Hausdorff_dist_nonneg } ⟩},
{ simp, existsi [y, y], simpa } },
{ apply le_cInf,
{ exact (nonempty.prod ⟨y, hy⟩ ⟨y, hy⟩).image _ },
{ rintro b ⟨⟨u, v⟩, ⟨hu, hv⟩, rfl⟩, exact Hausdorff_dist_nonneg } },
end,
dist_comm := λx y, begin
have A : (λ (p : nonempty_compacts ℓ_infty_ℝ × nonempty_compacts ℓ_infty_ℝ),
Hausdorff_dist ((p.fst).val) ((p.snd).val)) '' (set.prod {a | ⟦a⟧ = x} {b | ⟦b⟧ = y})
= ((λ (p : nonempty_compacts ℓ_infty_ℝ × nonempty_compacts ℓ_infty_ℝ),
Hausdorff_dist ((p.fst).val) ((p.snd).val)) ∘ prod.swap) '' (set.prod {a | ⟦a⟧ = x} {b | ⟦b⟧ = y}) :=
by { congr, funext, simp, rw Hausdorff_dist_comm },
simp only [dist, A, image_comp, prod.swap, image_swap_prod],
end,
eq_of_dist_eq_zero := λx y hxy, begin
/- To show that two spaces at zero distance are isometric, we argue that the distance
is realized by some coupling. In this coupling, the two spaces are at zero Hausdorff distance,
i.e., they coincide. Therefore, the original spaces are isometric. -/
rcases GH_dist_eq_Hausdorff_dist x.rep y.rep with ⟨Φ, Ψ, Φisom, Ψisom, DΦΨ⟩,
rw [← dist_GH_dist, hxy] at DΦΨ,
have : range Φ = range Ψ,
{ have hΦ : compact (range Φ) := compact_range Φisom.continuous,
have hΨ : compact (range Ψ) := compact_range Ψisom.continuous,
apply (Hausdorff_dist_zero_iff_eq_of_closed _ _ _).1 (DΦΨ.symm),
{ exact closed_of_compact (range Φ) hΦ },
{ exact closed_of_compact (range Ψ) hΨ },
{ exact Hausdorff_edist_ne_top_of_nonempty_of_bounded (range_nonempty _)
(range_nonempty _) hΦ.bounded hΨ.bounded } },
have T : ((range Ψ) ≃ᵢ y.rep) = ((range Φ) ≃ᵢ y.rep), by rw this,
have eΨ := cast T Ψisom.isometric_on_range.symm,
have e := Φisom.isometric_on_range.trans eΨ,
rw [← x.to_GH_space_rep, ← y.to_GH_space_rep, to_GH_space_eq_to_GH_space_iff_isometric],
exact ⟨e⟩
end,
dist_triangle := λx y z, begin
/- To show the triangular inequality between `X`, `Y` and `Z`, realize an optimal coupling
between `X` and `Y` in a space `γ1`, and an optimal coupling between `Y`and `Z` in a space `γ2`.
Then, glue these metric spaces along `Y`. We get a new space `γ` in which `X` and `Y` are
optimally coupled, as well as `Y` and `Z`. Apply the triangle inequality for the Hausdorff
distance in `γ` to conclude. -/
let X := x.rep,
let Y := y.rep,
let Z := z.rep,
let γ1 := optimal_GH_coupling X Y,
let γ2 := optimal_GH_coupling Y Z,
let Φ : Y → γ1 := optimal_GH_injr X Y,
have hΦ : isometry Φ := isometry_optimal_GH_injr X Y,
let Ψ : Y → γ2 := optimal_GH_injl Y Z,
have hΨ : isometry Ψ := isometry_optimal_GH_injl Y Z,
let γ := glue_space hΦ hΨ,
letI : metric_space γ := metric.metric_space_glue_space hΦ hΨ,
have Comm : (to_glue_l hΦ hΨ) ∘ (optimal_GH_injr X Y) = (to_glue_r hΦ hΨ) ∘ (optimal_GH_injl Y Z) :=
to_glue_commute hΦ hΨ,
calc dist x z = dist (to_GH_space X) (to_GH_space Z) :
by rw [x.to_GH_space_rep, z.to_GH_space_rep]
... ≤ Hausdorff_dist (range ((to_glue_l hΦ hΨ) ∘ (optimal_GH_injl X Y)))
(range ((to_glue_r hΦ hΨ) ∘ (optimal_GH_injr Y Z))) :
GH_dist_le_Hausdorff_dist
((to_glue_l_isometry hΦ hΨ).comp (isometry_optimal_GH_injl X Y))
((to_glue_r_isometry hΦ hΨ).comp (isometry_optimal_GH_injr Y Z))
... ≤ Hausdorff_dist (range ((to_glue_l hΦ hΨ) ∘ (optimal_GH_injl X Y)))
(range ((to_glue_l hΦ hΨ) ∘ (optimal_GH_injr X Y)))
+ Hausdorff_dist (range ((to_glue_l hΦ hΨ) ∘ (optimal_GH_injr X Y)))
(range ((to_glue_r hΦ hΨ) ∘ (optimal_GH_injr Y Z))) :
begin
refine Hausdorff_dist_triangle (Hausdorff_edist_ne_top_of_nonempty_of_bounded
(range_nonempty _) (range_nonempty _) _ _),
{ exact (compact_range (isometry.continuous ((to_glue_l_isometry hΦ hΨ).comp
(isometry_optimal_GH_injl X Y)))).bounded },
{ exact (compact_range (isometry.continuous ((to_glue_l_isometry hΦ hΨ).comp
(isometry_optimal_GH_injr X Y)))).bounded }
end
... = Hausdorff_dist ((to_glue_l hΦ hΨ) '' (range (optimal_GH_injl X Y)))
((to_glue_l hΦ hΨ) '' (range (optimal_GH_injr X Y)))
+ Hausdorff_dist ((to_glue_r hΦ hΨ) '' (range (optimal_GH_injl Y Z)))
((to_glue_r hΦ hΨ) '' (range (optimal_GH_injr Y Z))) :
by simp only [eq.symm range_comp, Comm, eq_self_iff_true, add_right_inj]
... = Hausdorff_dist (range (optimal_GH_injl X Y))
(range (optimal_GH_injr X Y))
+ Hausdorff_dist (range (optimal_GH_injl Y Z))
(range (optimal_GH_injr Y Z)) :
by rw [Hausdorff_dist_image (to_glue_l_isometry hΦ hΨ),
Hausdorff_dist_image (to_glue_r_isometry hΦ hΨ)]
... = dist (to_GH_space X) (to_GH_space Y) + dist (to_GH_space Y) (to_GH_space Z) :
by rw [Hausdorff_dist_optimal, Hausdorff_dist_optimal, GH_dist, GH_dist]
... = dist x y + dist y z:
by rw [x.to_GH_space_rep, y.to_GH_space_rep, z.to_GH_space_rep]
end }
end GH_space --section
end Gromov_Hausdorff
/-- In particular, nonempty compacts of a metric space map to `GH_space`. We register this
in the topological_space namespace to take advantage of the notation `p.to_GH_space`. -/
definition topological_space.nonempty_compacts.to_GH_space {α : Type u} [metric_space α]
(p : nonempty_compacts α) : Gromov_Hausdorff.GH_space := Gromov_Hausdorff.to_GH_space p.val
open topological_space
namespace Gromov_Hausdorff
section nonempty_compacts
variables {α : Type u} [metric_space α]
theorem GH_dist_le_nonempty_compacts_dist (p q : nonempty_compacts α) :
dist p.to_GH_space q.to_GH_space ≤ dist p q :=
begin
have ha : isometry (subtype.val : p.val → α) := isometry_subtype_val,
have hb : isometry (subtype.val : q.val → α) := isometry_subtype_val,
have A : dist p q = Hausdorff_dist p.val q.val := rfl,
have I : p.val = range (subtype.val : p.val → α), by simp,
have J : q.val = range (subtype.val : q.val → α), by simp,
rw [I, J] at A,
rw A,
exact GH_dist_le_Hausdorff_dist ha hb
end
lemma to_GH_space_lipschitz :
lipschitz_with 1 (nonempty_compacts.to_GH_space : nonempty_compacts α → GH_space) :=
lipschitz_with.mk_one GH_dist_le_nonempty_compacts_dist
lemma to_GH_space_continuous :
continuous (nonempty_compacts.to_GH_space : nonempty_compacts α → GH_space) :=
to_GH_space_lipschitz.continuous
end nonempty_compacts
section
/- In this section, we show that if two metric spaces are isometric up to `ε₂`, then their
Gromov-Hausdorff distance is bounded by `ε₂ / 2`. More generally, if there are subsets which are
`ε₁`-dense and `ε₃`-dense in two spaces, and isometric up to `ε₂`, then the Gromov-Hausdorff distance
between the spaces is bounded by `ε₁ + ε₂/2 + ε₃`. For this, we construct a suitable coupling between
the two spaces, by gluing them (approximately) along the two matching subsets. -/
variables {α : Type u} [metric_space α] [compact_space α] [nonempty α]
{β : Type v} [metric_space β] [compact_space β] [nonempty β]
-- we want to ignore these instances in the following theorem
local attribute [instance, priority 10] sum.topological_space sum.uniform_space
/-- If there are subsets which are `ε₁`-dense and `ε₃`-dense in two spaces, and
isometric up to `ε₂`, then the Gromov-Hausdorff distance between the spaces is bounded by
`ε₁ + ε₂/2 + ε₃`. -/
theorem GH_dist_le_of_approx_subsets {s : set α} (Φ : s → β) {ε₁ ε₂ ε₃ : ℝ}
(hs : ∀x : α, ∃y ∈ s, dist x y ≤ ε₁) (hs' : ∀x : β, ∃y : s, dist x (Φ y) ≤ ε₃)
(H : ∀x y : s, abs (dist x y - dist (Φ x) (Φ y)) ≤ ε₂) :
GH_dist α β ≤ ε₁ + ε₂ / 2 + ε₃ :=
begin
refine real.le_of_forall_epsilon_le (λδ δ0, _),
rcases exists_mem_of_nonempty α with ⟨xα, _⟩,
rcases hs xα with ⟨xs, hxs, Dxs⟩,
have sne : s.nonempty := ⟨xs, hxs⟩,
letI : nonempty s := sne.to_subtype,
have : 0 ≤ ε₂ := le_trans (abs_nonneg _) (H ⟨xs, hxs⟩ ⟨xs, hxs⟩),
have : ∀ p q : s, abs (dist p q - dist (Φ p) (Φ q)) ≤ 2 * (ε₂/2 + δ) := λp q, calc
abs (dist p q - dist (Φ p) (Φ q)) ≤ ε₂ : H p q
... ≤ 2 * (ε₂/2 + δ) : by linarith,
-- glue `α` and `β` along the almost matching subsets
letI : metric_space (α ⊕ β) := glue_metric_approx (λ x:s, (x:α)) (λx, Φ x) (ε₂/2 + δ) (by linarith) this,
let Fl := @sum.inl α β,
let Fr := @sum.inr α β,
have Il : isometry Fl := isometry_emetric_iff_metric.2 (λx y, rfl),
have Ir : isometry Fr := isometry_emetric_iff_metric.2 (λx y, rfl),
/- The proof goes as follows : the `GH_dist` is bounded by the Hausdorff distance of the images in the
coupling, which is bounded (using the triangular inequality) by the sum of the Hausdorff distances
of `α` and `s` (in the coupling or, equivalently in the original space), of `s` and `Φ s`, and of
`Φ s` and `β` (in the coupling or, equivalently, in the original space). The first term is bounded
by `ε₁`, by `ε₁`-density. The third one is bounded by `ε₃`. And the middle one is bounded by `ε₂/2`
as in the coupling the points `x` and `Φ x` are at distance `ε₂/2` by construction of the coupling
(in fact `ε₂/2 + δ` where `δ` is an arbitrarily small positive constant where positivity is used
to ensure that the coupling is really a metric space and not a premetric space on `α ⊕ β`). -/
have : GH_dist α β ≤ Hausdorff_dist (range Fl) (range Fr) :=
GH_dist_le_Hausdorff_dist Il Ir,
have : Hausdorff_dist (range Fl) (range Fr) ≤ Hausdorff_dist (range Fl) (Fl '' s)
+ Hausdorff_dist (Fl '' s) (range Fr),
{ have B : bounded (range Fl) := (compact_range Il.continuous).bounded,
exact Hausdorff_dist_triangle (Hausdorff_edist_ne_top_of_nonempty_of_bounded
(range_nonempty _) (sne.image _) B (B.subset (image_subset_range _ _))) },
have : Hausdorff_dist (Fl '' s) (range Fr) ≤ Hausdorff_dist (Fl '' s) (Fr '' (range Φ))
+ Hausdorff_dist (Fr '' (range Φ)) (range Fr),
{ have B : bounded (range Fr) := (compact_range Ir.continuous).bounded,
exact Hausdorff_dist_triangle' (Hausdorff_edist_ne_top_of_nonempty_of_bounded
((range_nonempty _).image _) (range_nonempty _)
(bounded.subset (image_subset_range _ _) B) B) },
have : Hausdorff_dist (range Fl) (Fl '' s) ≤ ε₁,
{ rw [← image_univ, Hausdorff_dist_image Il],
have : 0 ≤ ε₁ := le_trans dist_nonneg Dxs,
refine Hausdorff_dist_le_of_mem_dist this (λx hx, hs x)
(λx hx, ⟨x, mem_univ _, by simpa⟩) },
have : Hausdorff_dist (Fl '' s) (Fr '' (range Φ)) ≤ ε₂/2 + δ,
{ refine Hausdorff_dist_le_of_mem_dist (by linarith) _ _,
{ assume x' hx',
rcases (set.mem_image _ _ _).1 hx' with ⟨x, ⟨x_in_s, xx'⟩⟩,
rw ← xx',
use [Fr (Φ ⟨x, x_in_s⟩), mem_image_of_mem Fr (mem_range_self _)],
exact le_of_eq (glue_dist_glued_points (λ x:s, (x:α)) Φ (ε₂/2 + δ) ⟨x, x_in_s⟩) },
{ assume x' hx',
rcases (set.mem_image _ _ _).1 hx' with ⟨y, ⟨y_in_s', yx'⟩⟩,
rcases mem_range.1 y_in_s' with ⟨x, xy⟩,
use [Fl x, mem_image_of_mem _ x.2],
rw [← yx', ← xy, dist_comm],
exact le_of_eq (glue_dist_glued_points (@subtype.val α s) Φ (ε₂/2 + δ) x) } },
have : Hausdorff_dist (Fr '' (range Φ)) (range Fr) ≤ ε₃,
{ rw [← @image_univ _ _ Fr, Hausdorff_dist_image Ir],
rcases exists_mem_of_nonempty β with ⟨xβ, _⟩,
rcases hs' xβ with ⟨xs', Dxs'⟩,
have : 0 ≤ ε₃ := le_trans dist_nonneg Dxs',
refine Hausdorff_dist_le_of_mem_dist this (λx hx, ⟨x, mem_univ _, by simpa⟩) (λx _, _),
rcases hs' x with ⟨y, Dy⟩,
exact ⟨Φ y, mem_range_self _, Dy⟩ },
linarith
end
end --section
/-- The Gromov-Hausdorff space is second countable. -/
instance second_countable : second_countable_topology GH_space :=
begin
refine second_countable_of_countable_discretization (λδ δpos, _),
let ε := (2/5) * δ,
have εpos : 0 < ε := mul_pos (by norm_num) δpos,
have : ∀p:GH_space, ∃s : set (p.rep), finite s ∧ (univ ⊆ (⋃x∈s, ball x ε)) :=
λp, by simpa using finite_cover_balls_of_compact (@compact_univ p.rep _ _) εpos,
-- for each `p`, `s p` is a finite `ε`-dense subset of `p` (or rather the metric space
-- `p.rep` representing `p`)
choose s hs using this,
have : ∀p:GH_space, ∀t:set (p.rep), finite t → ∃n:ℕ, ∃e:equiv t (fin n), true,
{ assume p t ht,
letI : fintype t := finite.fintype ht,
rcases fintype.exists_equiv_fin t with ⟨n, hn⟩,
rcases hn with e,
exact ⟨n, e, trivial⟩ },
choose N e hne using this,
-- cardinality of the nice finite subset `s p` of `p.rep`, called `N p`
let N := λp:GH_space, N p (s p) (hs p).1,
-- equiv from `s p`, a nice finite subset of `p.rep`, to `fin (N p)`, called `E p`
let E := λp:GH_space, e p (s p) (hs p).1,
-- A function `F` associating to `p : GH_space` the data of all distances between points
-- in the `ε`-dense set `s p`.
let F : GH_space → Σn:ℕ, (fin n → fin n → ℤ) :=
λp, ⟨N p, λa b, floor (ε⁻¹ * dist ((E p).inv_fun a) ((E p).inv_fun b))⟩,
refine ⟨_, by apply_instance, F, λp q hpq, _⟩,
/- As the target space of F is countable, it suffices to show that two points
`p` and `q` with `F p = F q` are at distance `≤ δ`.
For this, we construct a map `Φ` from `s p ⊆ p.rep` (representing `p`)
to `q.rep` (representing `q`) which is almost an isometry on `s p`, and
with image `s q`. For this, we compose the identification of `s p` with `fin (N p)`
and the inverse of the identification of `s q` with `fin (N q)`. Together with
the fact that `N p = N q`, this constructs `Ψ` between `s p` and `s q`, and then
composing with the canonical inclusion we get `Φ`. -/
have Npq : N p = N q := (sigma.mk.inj_iff.1 hpq).1,
let Ψ : s p → s q := λx, (E q).inv_fun (fin.cast Npq ((E p).to_fun x)),
let Φ : s p → q.rep := λx, Ψ x,
-- Use the almost isometry `Φ` to show that `p.rep` and `q.rep`
-- are within controlled Gromov-Hausdorff distance.
have main : GH_dist p.rep q.rep ≤ ε + ε/2 + ε,
{ refine GH_dist_le_of_approx_subsets Φ _ _ _,
show ∀x : p.rep, ∃ (y : p.rep) (H : y ∈ s p), dist x y ≤ ε,
{ -- by construction, `s p` is `ε`-dense
assume x,
have : x ∈ ⋃y∈(s p), ball y ε := (hs p).2 (mem_univ _),
rcases mem_bUnion_iff.1 this with ⟨y, ys, hy⟩,
exact ⟨y, ys, le_of_lt hy⟩ },
show ∀x : q.rep, ∃ (z : s p), dist x (Φ z) ≤ ε,
{ -- by construction, `s q` is `ε`-dense, and it is the range of `Φ`
assume x,
have : x ∈ ⋃y∈(s q), ball y ε := (hs q).2 (mem_univ _),
rcases mem_bUnion_iff.1 this with ⟨y, ys, hy⟩,
let i := ((E q).to_fun ⟨y, ys⟩).1,
let hi := ((E q).to_fun ⟨y, ys⟩).2,
have ihi_eq : (⟨i, hi⟩ : fin (N q)) = (E q).to_fun ⟨y, ys⟩, by rw fin.ext_iff,
have hiq : i < N q := hi,
have hip : i < N p, { rwa Npq.symm at hiq },
let z := (E p).inv_fun ⟨i, hip⟩,
use z,
have C1 : (E p).to_fun z = ⟨i, hip⟩ := (E p).right_inv ⟨i, hip⟩,
have C2 : fin.cast Npq ⟨i, hip⟩ = ⟨i, hi⟩ := rfl,
have C3 : (E q).inv_fun ⟨i, hi⟩ = ⟨y, ys⟩, by { rw ihi_eq, exact (E q).left_inv ⟨y, ys⟩ },
have : Φ z = y :=
by { simp only [Φ, Ψ], rw [C1, C2, C3], refl },
rw this,
exact le_of_lt hy },
show ∀x y : s p, abs (dist x y - dist (Φ x) (Φ y)) ≤ ε,
{ /- the distance between `x` and `y` is encoded in `F p`, and the distance between
`Φ x` and `Φ y` (two points of `s q`) is encoded in `F q`, all this up to `ε`.
As `F p = F q`, the distances are almost equal. -/
assume x y,
have : dist (Φ x) (Φ y) = dist (Ψ x) (Ψ y) := rfl,
rw this,
-- introduce `i`, that codes both `x` and `Φ x` in `fin (N p) = fin (N q)`
let i := ((E p).to_fun x).1,
have hip : i < N p := ((E p).to_fun x).2,
have hiq : i < N q, by rwa Npq at hip,
have i' : i = ((E q).to_fun (Ψ x)).1, by { simp [Ψ, (E q).right_inv _] },
-- introduce `j`, that codes both `y` and `Φ y` in `fin (N p) = fin (N q)`
let j := ((E p).to_fun y).1,
have hjp : j < N p := ((E p).to_fun y).2,
have hjq : j < N q, by rwa Npq at hjp,
have j' : j = ((E q).to_fun (Ψ y)).1, by { simp [Ψ, (E q).right_inv _] },
-- Express `dist x y` in terms of `F p`
have : (F p).2 ((E p).to_fun x) ((E p).to_fun y) = floor (ε⁻¹ * dist x y),
by simp only [F, (E p).left_inv _],
have Ap : (F p).2 ⟨i, hip⟩ ⟨j, hjp⟩ = floor (ε⁻¹ * dist x y),
by { rw ← this, congr; apply (fin.ext_iff _ _).2; refl },
-- Express `dist (Φ x) (Φ y)` in terms of `F q`
have : (F q).2 ((E q).to_fun (Ψ x)) ((E q).to_fun (Ψ y)) = floor (ε⁻¹ * dist (Ψ x) (Ψ y)),
by simp only [F, (E q).left_inv _],
have Aq : (F q).2 ⟨i, hiq⟩ ⟨j, hjq⟩ = floor (ε⁻¹ * dist (Ψ x) (Ψ y)),
by { rw ← this, congr; apply (fin.ext_iff _ _).2; [exact i', exact j'] },
-- use the equality between `F p` and `F q` to deduce that the distances have equal
-- integer parts
have : (F p).2 ⟨i, hip⟩ ⟨j, hjp⟩ = (F q).2 ⟨i, hiq⟩ ⟨j, hjq⟩,
{ -- we want to `subst hpq` where `hpq : F p = F q`, except that `subst` only works
-- with a constant, so replace `F q` (and everything that depends on it) by a constant `f`
-- then `subst`
revert hiq hjq,
change N q with (F q).1,
generalize_hyp : F q = f at hpq ⊢,
subst hpq,
intros,
refl },
rw [Ap, Aq] at this,
-- deduce that the distances coincide up to `ε`, by a straightforward computation
-- that should be automated
have I := calc
abs (ε⁻¹) * abs (dist x y - dist (Ψ x) (Ψ y)) =
abs (ε⁻¹ * (dist x y - dist (Ψ x) (Ψ y))) : (abs_mul _ _).symm
... = abs ((ε⁻¹ * dist x y) - (ε⁻¹ * dist (Ψ x) (Ψ y))) : by { congr, ring }
... ≤ 1 : le_of_lt (abs_sub_lt_one_of_floor_eq_floor this),
calc
abs (dist x y - dist (Ψ x) (Ψ y)) = (ε * ε⁻¹) * abs (dist x y - dist (Ψ x) (Ψ y)) :
by rw [mul_inv_cancel (ne_of_gt εpos), one_mul]
... = ε * (abs (ε⁻¹) * abs (dist x y - dist (Ψ x) (Ψ y))) :
by rw [abs_of_nonneg (le_of_lt (inv_pos εpos)), mul_assoc]
... ≤ ε * 1 : mul_le_mul_of_nonneg_left I (le_of_lt εpos)
... = ε : mul_one _ } },
calc dist p q = GH_dist (p.rep) (q.rep) : dist_GH_dist p q
... ≤ ε + ε/2 + ε : main
... = δ : by { simp [ε], ring }
end
/-- Compactness criterion: a closed set of compact metric spaces is compact if the spaces have
a uniformly bounded diameter, and for all `ε` the number of balls of radius `ε` required
to cover the spaces is uniformly bounded. This is an equivalence, but we only prove the
interesting direction that these conditions imply compactness. -/
lemma totally_bounded {t : set GH_space} {C : ℝ} {u : ℕ → ℝ} {K : ℕ → ℕ}
(ulim : tendsto u at_top (𝓝 0))
(hdiam : ∀p ∈ t, diam (univ : set (GH_space.rep p)) ≤ C)
(hcov : ∀p ∈ t, ∀n:ℕ, ∃s : set (GH_space.rep p), cardinal.mk s ≤ K n ∧ univ ⊆ ⋃x∈s, ball x (u n)) :
totally_bounded t :=
begin
/- Let `δ>0`, and `ε = δ/5`. For each `p`, we construct a finite subset `s p` of `p`, which
is `ε`-dense and has cardinality at most `K n`. Encoding the mutual distances of points in `s p`,
up to `ε`, we will get a map `F` associating to `p` finitely many data, and making it possible to
reconstruct `p` up to `ε`. This is enough to prove total boundedness. -/
refine metric.totally_bounded_of_finite_discretization (λδ δpos, _),
let ε := (1/5) * δ,
have εpos : 0 < ε := mul_pos (by norm_num) δpos,
-- choose `n` for which `u n < ε`
rcases metric.tendsto_at_top.1 ulim ε εpos with ⟨n, hn⟩,
have u_le_ε : u n ≤ ε,
{ have := hn n (le_refl _),
simp only [real.dist_eq, add_zero, sub_eq_add_neg, neg_zero] at this,
exact le_of_lt (lt_of_le_of_lt (le_abs_self _) this) },
-- construct a finite subset `s p` of `p` which is `ε`-dense and has cardinal `≤ K n`
have : ∀p:GH_space, ∃s : set (p.rep), ∃N ≤ K n, ∃E : equiv s (fin N),
p ∈ t → univ ⊆ ⋃x∈s, ball x (u n),
{ assume p,
by_cases hp : p ∉ t,
{ have : nonempty (equiv (∅ : set (p.rep)) (fin 0)),
{ rw ← fintype.card_eq, simp },
use [∅, 0, bot_le, choice (this)] },
{ rcases hcov _ (set.not_not_mem.1 hp) n with ⟨s, ⟨scard, scover⟩⟩,
rcases cardinal.lt_omega.1 (lt_of_le_of_lt scard (cardinal.nat_lt_omega _)) with ⟨N, hN⟩,
rw [hN, cardinal.nat_cast_le] at scard,
have : cardinal.mk s = cardinal.mk (fin N), by rw [hN, cardinal.mk_fin],
cases quotient.exact this with E,
use [s, N, scard, E],
simp [hp, scover] } },
choose s N hN E hs using this,
-- Define a function `F` taking values in a finite type and associating to `p` enough data
-- to reconstruct it up to `ε`, namely the (discretized) distances between elements of `s p`.
let M := (floor (ε⁻¹ * max C 0)).to_nat,
let F : GH_space → (Σk:fin ((K n).succ), (fin k → fin k → fin (M.succ))) :=
λp, ⟨⟨N p, lt_of_le_of_lt (hN p) (nat.lt_succ_self _)⟩,
λa b, ⟨min M (floor (ε⁻¹ * dist ((E p).inv_fun a) ((E p).inv_fun b))).to_nat,
lt_of_le_of_lt ( min_le_left _ _) (nat.lt_succ_self _) ⟩ ⟩,
refine ⟨_, by apply_instance, (λp, F p), _⟩,
-- It remains to show that if `F p = F q`, then `p` and `q` are `ε`-close
rintros ⟨p, pt⟩ ⟨q, qt⟩ hpq,
have Npq : N p = N q := (fin.ext_iff _ _).1 (sigma.mk.inj_iff.1 hpq).1,
let Ψ : s p → s q := λx, (E q).inv_fun (fin.cast Npq ((E p).to_fun x)),
let Φ : s p → q.rep := λx, Ψ x,
have main : GH_dist (p.rep) (q.rep) ≤ ε + ε/2 + ε,
{ -- to prove the main inequality, argue that `s p` is `ε`-dense in `p`, and `s q` is `ε`-dense
-- in `q`, and `s p` and `s q` are almost isometric. Then closeness follows
-- from `GH_dist_le_of_approx_subsets`
refine GH_dist_le_of_approx_subsets Φ _ _ _,
show ∀x : p.rep, ∃ (y : p.rep) (H : y ∈ s p), dist x y ≤ ε,
{ -- by construction, `s p` is `ε`-dense
assume x,
have : x ∈ ⋃y∈(s p), ball y (u n) := (hs p pt) (mem_univ _),
rcases mem_bUnion_iff.1 this with ⟨y, ys, hy⟩,
exact ⟨y, ys, le_trans (le_of_lt hy) u_le_ε⟩ },
show ∀x : q.rep, ∃ (z : s p), dist x (Φ z) ≤ ε,
{ -- by construction, `s q` is `ε`-dense, and it is the range of `Φ`
assume x,
have : x ∈ ⋃y∈(s q), ball y (u n) := (hs q qt) (mem_univ _),
rcases mem_bUnion_iff.1 this with ⟨y, ys, hy⟩,
let i := ((E q).to_fun ⟨y, ys⟩).1,
let hi := ((E q).to_fun ⟨y, ys⟩).2,
have ihi_eq : (⟨i, hi⟩ : fin (N q)) = (E q).to_fun ⟨y, ys⟩, by rw fin.ext_iff,
have hiq : i < N q := hi,
have hip : i < N p, { rwa Npq.symm at hiq },
let z := (E p).inv_fun ⟨i, hip⟩,
use z,
have C1 : (E p).to_fun z = ⟨i, hip⟩ := (E p).right_inv ⟨i, hip⟩,
have C2 : fin.cast Npq ⟨i, hip⟩ = ⟨i, hi⟩ := rfl,
have C3 : (E q).inv_fun ⟨i, hi⟩ = ⟨y, ys⟩, by { rw ihi_eq, exact (E q).left_inv ⟨y, ys⟩ },
have : Φ z = y :=
by { simp only [Φ, Ψ], rw [C1, C2, C3], refl },
rw this,
exact le_trans (le_of_lt hy) u_le_ε },
show ∀x y : s p, abs (dist x y - dist (Φ x) (Φ y)) ≤ ε,
{ /- the distance between `x` and `y` is encoded in `F p`, and the distance between
`Φ x` and `Φ y` (two points of `s q`) is encoded in `F q`, all this up to `ε`.
As `F p = F q`, the distances are almost equal. -/
assume x y,
have : dist (Φ x) (Φ y) = dist (Ψ x) (Ψ y) := rfl,
rw this,
-- introduce `i`, that codes both `x` and `Φ x` in `fin (N p) = fin (N q)`
let i := ((E p).to_fun x).1,
have hip : i < N p := ((E p).to_fun x).2,
have hiq : i < N q, by rwa Npq at hip,
have i' : i = ((E q).to_fun (Ψ x)).1, by { simp [Ψ, (E q).right_inv _] },
-- introduce `j`, that codes both `y` and `Φ y` in `fin (N p) = fin (N q)`
let j := ((E p).to_fun y).1,
have hjp : j < N p := ((E p).to_fun y).2,
have hjq : j < N q, by rwa Npq at hjp,
have j' : j = ((E q).to_fun (Ψ y)).1, by { simp [Ψ, (E q).right_inv _] },
-- Express `dist x y` in terms of `F p`
have Ap : ((F p).2 ⟨i, hip⟩ ⟨j, hjp⟩).1 = (floor (ε⁻¹ * dist x y)).to_nat := calc
((F p).2 ⟨i, hip⟩ ⟨j, hjp⟩).1 = ((F p).2 ((E p).to_fun x) ((E p).to_fun y)).1 :
by { congr; apply (fin.ext_iff _ _).2; refl }
... = min M (floor (ε⁻¹ * dist x y)).to_nat :
by simp only [F, (E p).left_inv _]
... = (floor (ε⁻¹ * dist x y)).to_nat :
begin
refine min_eq_right (int.to_nat_le_to_nat (floor_mono _)),
refine mul_le_mul_of_nonneg_left (le_trans _ (le_max_left _ _)) (le_of_lt (inv_pos εpos)),
change dist (x : p.rep) y ≤ C,
refine le_trans (dist_le_diam_of_mem compact_univ.bounded (mem_univ _) (mem_univ _)) _,
exact hdiam p pt
end,
-- Express `dist (Φ x) (Φ y)` in terms of `F q`
have Aq : ((F q).2 ⟨i, hiq⟩ ⟨j, hjq⟩).1 = (floor (ε⁻¹ * dist (Ψ x) (Ψ y))).to_nat := calc
((F q).2 ⟨i, hiq⟩ ⟨j, hjq⟩).1 = ((F q).2 ((E q).to_fun (Ψ x)) ((E q).to_fun (Ψ y))).1 :
by { congr; apply (fin.ext_iff _ _).2; [exact i', exact j'] }
... = min M (floor (ε⁻¹ * dist (Ψ x) (Ψ y))).to_nat :
by simp only [F, (E q).left_inv _]
... = (floor (ε⁻¹ * dist (Ψ x) (Ψ y))).to_nat :
begin
refine min_eq_right (int.to_nat_le_to_nat (floor_mono _)),
refine mul_le_mul_of_nonneg_left (le_trans _ (le_max_left _ _)) (le_of_lt (inv_pos εpos)),
change dist (Ψ x : q.rep) (Ψ y) ≤ C,
refine le_trans (dist_le_diam_of_mem compact_univ.bounded (mem_univ _) (mem_univ _)) _,
exact hdiam q qt
end,
-- use the equality between `F p` and `F q` to deduce that the distances have equal
-- integer parts
have : ((F p).2 ⟨i, hip⟩ ⟨j, hjp⟩).1 = ((F q).2 ⟨i, hiq⟩ ⟨j, hjq⟩).1,
{ -- we want to `subst hpq` where `hpq : F p = F q`, except that `subst` only works
-- with a constant, so replace `F q` (and everything that depends on it) by a constant `f`
-- then `subst`
revert hiq hjq,
change N q with (F q).1,
generalize_hyp : F q = f at hpq ⊢,
subst hpq,
intros,
refl },
have : floor (ε⁻¹ * dist x y) = floor (ε⁻¹ * dist (Ψ x) (Ψ y)),
{ rw [Ap, Aq] at this,
have D : 0 ≤ floor (ε⁻¹ * dist x y) :=
floor_nonneg.2 (mul_nonneg (le_of_lt (inv_pos εpos)) dist_nonneg),
have D' : floor (ε⁻¹ * dist (Ψ x) (Ψ y)) ≥ 0 :=
floor_nonneg.2 (mul_nonneg (le_of_lt (inv_pos εpos)) dist_nonneg),
rw [← int.to_nat_of_nonneg D, ← int.to_nat_of_nonneg D', this] },
-- deduce that the distances coincide up to `ε`, by a straightforward computation
-- that should be automated
have I := calc
abs (ε⁻¹) * abs (dist x y - dist (Ψ x) (Ψ y)) =
abs (ε⁻¹ * (dist x y - dist (Ψ x) (Ψ y))) : (abs_mul _ _).symm
... = abs ((ε⁻¹ * dist x y) - (ε⁻¹ * dist (Ψ x) (Ψ y))) : by { congr, ring }
... ≤ 1 : le_of_lt (abs_sub_lt_one_of_floor_eq_floor this),
calc
abs (dist x y - dist (Ψ x) (Ψ y)) = (ε * ε⁻¹) * abs (dist x y - dist (Ψ x) (Ψ y)) :
by rw [mul_inv_cancel (ne_of_gt εpos), one_mul]
... = ε * (abs (ε⁻¹) * abs (dist x y - dist (Ψ x) (Ψ y))) :
by rw [abs_of_nonneg (le_of_lt (inv_pos εpos)), mul_assoc]
... ≤ ε * 1 : mul_le_mul_of_nonneg_left I (le_of_lt εpos)
... = ε : mul_one _ } },
calc dist p q = GH_dist (p.rep) (q.rep) : dist_GH_dist p q
... ≤ ε + ε/2 + ε : main
... = δ/2 : by { simp [ε], ring }
... < δ : half_lt_self δpos
end
section complete
/- We will show that a sequence `u n` of compact metric spaces satisfying
`dist (u n) (u (n+1)) < 1/2^n` converges, which implies completeness of the Gromov-Hausdorff space.
We need to exhibit the limiting compact metric space. For this, start from
a sequence `X n` of representatives of `u n`, and glue in an optimal way `X n` to `X (n+1)`
for all `n`, in a common metric space. Formally, this is done as follows.
Start from `Y 0 = X 0`. Then, glue `X 0` to `X 1` in an optimal way, yielding a space
`Y 1` (with an embedding of `X 1`). Then, consider an optimal gluing of `X 1` and `X 2`, and
glue it to `Y 1` along their common subspace `X 1`. This gives a new space `Y 2`, with an
embedding of `X 2`. Go on, to obtain a sequence of spaces `Y n`. Let `Z0` be the inductive
limit of the `Y n`, and finally let `Z` be the completion of `Z0`.
The images `X2 n` of `X n` in `Z` are at Hausdorff distance `< 1/2^n` by construction, hence they
form a Cauchy sequence for the Hausdorff distance. By completeness (of `Z`, and therefore of its
set of nonempty compact subsets), they converge to a limit `L`. This is the nonempty
compact metric space we are looking for. -/
variables (X : ℕ → Type) [∀n, metric_space (X n)] [∀n, compact_space (X n)] [∀n, nonempty (X n)]
/-- Auxiliary structure used to glue metric spaces below, recording an isometric embedding
of a type `A` in another metric space. -/
structure aux_gluing_struct (A : Type) [metric_space A] : Type 1 :=
(space : Type)
(metric : metric_space space)
(embed : A → space)
(isom : isometry embed)
/-- Auxiliary sequence of metric spaces, containing copies of `X 0`, ..., `X n`, where each
`X i` is glued to `X (i+1)` in an optimal way. The space at step `n+1` is obtained from the space
at step `n` by adding `X (n+1)`, glued in an optimal way to the `X n` already sitting there. -/
def aux_gluing (n : ℕ) : aux_gluing_struct (X n) := nat.rec_on n
{ space := X 0,
metric := by apply_instance,
embed := id,
isom := λx y, rfl }
(λn a, by letI : metric_space a.space := a.metric; exact
{ space := glue_space a.isom (isometry_optimal_GH_injl (X n) (X n.succ)),
metric := metric.metric_space_glue_space a.isom (isometry_optimal_GH_injl (X n) (X n.succ)),
embed := (to_glue_r a.isom (isometry_optimal_GH_injl (X n) (X n.succ)))
∘ (optimal_GH_injr (X n) (X n.succ)),
isom := (to_glue_r_isometry _ _).comp (isometry_optimal_GH_injr (X n) (X n.succ)) })
/-- The Gromov-Hausdorff space is complete. -/
instance : complete_space (GH_space) :=
begin
have : ∀ (n : ℕ), 0 < ((1:ℝ) / 2) ^ n, by { apply _root_.pow_pos, norm_num },
-- start from a sequence of nonempty compact metric spaces within distance `1/2^n` of each other
refine metric.complete_of_convergent_controlled_sequences (λn, (1/2)^n) this (λu hu, _),
-- `X n` is a representative of `u n`
let X := λn, (u n).rep,
-- glue them together successively in an optimal way, getting a sequence of metric spaces `Y n`
let Y := aux_gluing X,
letI : ∀n, metric_space (Y n).space := λn, (Y n).metric,
have E : ∀n:ℕ, glue_space (Y n).isom (isometry_optimal_GH_injl (X n) (X n.succ)) = (Y n.succ).space :=
λn, by { simp [Y, aux_gluing], refl },
let c := λn, cast (E n),
have ic : ∀n, isometry (c n) := λn x y, rfl,
-- there is a canonical embedding of `Y n` in `Y (n+1)`, by construction
let f : Πn, (Y n).space → (Y n.succ).space :=
λn, (c n) ∘ (to_glue_l (aux_gluing X n).isom (isometry_optimal_GH_injl (X n) (X n.succ))),
have I : ∀n, isometry (f n),
{ assume n,
apply isometry.comp,
{ assume x y, refl },
{ apply to_glue_l_isometry } },
-- consider the inductive limit `Z0` of the `Y n`, and then its completion `Z`
let Z0 := metric.inductive_limit I,
let Z := uniform_space.completion Z0,
let Φ := to_inductive_limit I,
let coeZ := (coe : Z0 → Z),
-- let `X2 n` be the image of `X n` in the space `Z`
let X2 := λn, range (coeZ ∘ (Φ n) ∘ (Y n).embed),
have isom : ∀n, isometry (coeZ ∘ (Φ n) ∘ (Y n).embed),
{ assume n,
apply isometry.comp completion.coe_isometry _,
apply isometry.comp _ (Y n).isom,
apply to_inductive_limit_isometry },
-- The Hausdorff distance of `X2 n` and `X2 (n+1)` is by construction the distance between
-- `u n` and `u (n+1)`, therefore bounded by `1/2^n`
have D2 : ∀n, Hausdorff_dist (X2 n) (X2 n.succ) < (1/2)^n,
{ assume n,
have X2n : X2 n = range ((coeZ ∘ (Φ n.succ) ∘ (c n)
∘ (to_glue_r (Y n).isom (isometry_optimal_GH_injl (X n) (X n.succ))))
∘ (optimal_GH_injl (X n) (X n.succ))),
{ change X2 n = range (coeZ ∘ (Φ n.succ) ∘ (c n)
∘ (to_glue_r (Y n).isom (isometry_optimal_GH_injl (X n) (X n.succ)))
∘ (optimal_GH_injl (X n) (X n.succ))),
simp only [X2, Φ],
rw [← to_inductive_limit_commute I],
simp only [f],
rw ← to_glue_commute },
rw range_comp at X2n,
have X2nsucc : X2 n.succ = range ((coeZ ∘ (Φ n.succ) ∘ (c n)
∘ (to_glue_r (Y n).isom (isometry_optimal_GH_injl (X n) (X n.succ))))
∘ (optimal_GH_injr (X n) (X n.succ))), by refl,
rw range_comp at X2nsucc,
rw [X2n, X2nsucc, Hausdorff_dist_image, Hausdorff_dist_optimal, ← dist_GH_dist],
{ exact hu n n n.succ (le_refl n) (le_succ n) },
{ apply isometry.comp completion.coe_isometry _,
apply isometry.comp _ ((ic n).comp (to_glue_r_isometry _ _)),
apply to_inductive_limit_isometry } },
-- consider `X2 n` as a member `X3 n` of the type of nonempty compact subsets of `Z`, which
-- is a metric space
let X3 : ℕ → nonempty_compacts Z := λn, ⟨X2 n,
⟨range_nonempty _, compact_range (isom n).continuous ⟩⟩,
-- `X3 n` is a Cauchy sequence by construction, as the successive distances are
-- bounded by `(1/2)^n`
have : cauchy_seq X3,
{ refine cauchy_seq_of_le_geometric (1/2) 1 (by norm_num) (λn, _),
rw one_mul,
exact le_of_lt (D2 n) },
-- therefore, it converges to a limit `L`
rcases cauchy_seq_tendsto_of_complete this with ⟨L, hL⟩,
-- the images of `X3 n` in the Gromov-Hausdorff space converge to the image of `L`
have M : tendsto (λn, (X3 n).to_GH_space) at_top (𝓝 L.to_GH_space) :=
tendsto.comp (to_GH_space_continuous.tendsto _) hL,
-- By construction, the image of `X3 n` in the Gromov-Hausdorff space is `u n`.
have : ∀n, (X3 n).to_GH_space = u n,
{ assume n,
rw [nonempty_compacts.to_GH_space, ← (u n).to_GH_space_rep,
to_GH_space_eq_to_GH_space_iff_isometric],
constructor,
convert (isom n).isometric_on_range.symm,
},
-- Finally, we have proved the convergence of `u n`
exact ⟨L.to_GH_space, by simpa [this] using M⟩
end
end complete--section
end Gromov_Hausdorff --namespace
|
2e153725daeb0956a3c5621920eec4825993cf99 | 947fa6c38e48771ae886239b4edce6db6e18d0fb | /src/category_theory/bicategory/free.lean | 6528cd11f2bf2ca75b8d2ad6e17dac818cf5aaa8 | [
"Apache-2.0"
] | permissive | ramonfmir/mathlib | c5dc8b33155473fab97c38bd3aa6723dc289beaa | 14c52e990c17f5a00c0cc9e09847af16fabbed25 | refs/heads/master | 1,661,979,343,526 | 1,660,830,384,000 | 1,660,830,384,000 | 182,072,989 | 0 | 0 | null | 1,555,585,876,000 | 1,555,585,876,000 | null | UTF-8 | Lean | false | false | 13,054 | lean | /-
Copyright (c) 2022 Yuma Mizuno. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yuma Mizuno
-/
import category_theory.bicategory.functor
/-!
# Free bicategories
We define the free bicategory over a quiver. In this bicategory, the 1-morphisms are freely
generated by the arrows in the quiver, and the 2-morphisms are freely generated by the formal
identities, the formal unitors, and the formal associators modulo the relation derived from the
axioms of a bicategory.
## Main definitions
* `free_bicategory B`: the free bicategory over a quiver `B`.
* `free_bicategory.lift F`: the pseudofunctor from `free_bicategory B` to `C` associated with a
prefunctor `F` from `B` to `C`.
-/
universes w w₁ w₂ v v₁ v₂ u u₁ u₂
namespace category_theory
open category bicategory
open_locale bicategory
/-- Free bicategory over a quiver. Its objects are the same as those in the underlying quiver. -/
def free_bicategory (B : Type u) := B
instance (B : Type u) : Π [inhabited B], inhabited (free_bicategory B) := id
namespace free_bicategory
section
variables {B : Type u} [quiver.{v+1} B]
/-- 1-morphisms in the free bicategory. -/
inductive hom : B → B → Type (max u v)
| of {a b : B} (f : a ⟶ b) : hom a b
| id (a : B) : hom a a
| comp {a b c : B} (f : hom a b) (g : hom b c) : hom a c
instance (a b : B) [inhabited (a ⟶ b)] : inhabited (hom a b) := ⟨hom.of default⟩
/-- Representatives of 2-morphisms in the free bicategory. -/
@[nolint has_nonempty_instance]
inductive hom₂ : Π {a b : B}, hom a b → hom a b → Type (max u v)
| id {a b} (f : hom a b) : hom₂ f f
| vcomp {a b} {f g h : hom a b} (η : hom₂ f g) (θ : hom₂ g h) : hom₂ f h
| whisker_left {a b c} (f : hom a b) {g h : hom b c} (η : hom₂ g h) : hom₂ (f.comp g) (f.comp h)
-- `η` cannot be earlier than `h` since it is a recursive argument.
| whisker_right {a b c} {f g : hom a b} (h : hom b c) (η : hom₂ f g) : hom₂ (f.comp h) (g.comp h)
| associator {a b c d} (f : hom a b) (g : hom b c) (h : hom c d) :
hom₂ ((f.comp g).comp h) (f.comp (g.comp h))
| associator_inv {a b c d} (f : hom a b) (g : hom b c) (h : hom c d) :
hom₂ (f.comp (g.comp h)) ((f.comp g).comp h)
| right_unitor {a b} (f : hom a b) : hom₂ (f.comp (hom.id b)) f
| right_unitor_inv {a b} (f : hom a b) : hom₂ f (f.comp (hom.id b))
| left_unitor {a b} (f : hom a b) : hom₂ ((hom.id a).comp f) f
| left_unitor_inv {a b} (f : hom a b) : hom₂ f ((hom.id a).comp f)
section
variables {B}
-- The following notations are only used in the definition of `rel` to simplify the notation.
local infixr ` ≫ ` := hom₂.vcomp
local notation `𝟙` := hom₂.id
local notation f ` ◁ ` η := hom₂.whisker_left f η
local notation η ` ▷ ` h := hom₂.whisker_right h η
local notation `α_` := hom₂.associator
local notation `λ_` := hom₂.left_unitor
local notation `ρ_` := hom₂.right_unitor
local notation `α⁻¹_` := hom₂.associator_inv
local notation `λ⁻¹_` := hom₂.left_unitor_inv
local notation `ρ⁻¹_` := hom₂.right_unitor_inv
/-- Relations between 2-morphisms in the free bicategory. -/
inductive rel : Π {a b : B} {f g : hom a b}, hom₂ f g → hom₂ f g → Prop
| vcomp_right {a b} {f g h : hom a b} (η : hom₂ f g) (θ₁ θ₂ : hom₂ g h) :
rel θ₁ θ₂ → rel (η ≫ θ₁) (η ≫ θ₂)
| vcomp_left {a b} {f g h : hom a b} (η₁ η₂ : hom₂ f g) (θ : hom₂ g h) :
rel η₁ η₂ → rel (η₁ ≫ θ) (η₂ ≫ θ)
| id_comp {a b} {f g : hom a b} (η : hom₂ f g) :
rel (𝟙 f ≫ η) η
| comp_id {a b} {f g : hom a b} (η : hom₂ f g) :
rel (η ≫ 𝟙 g) η
| assoc {a b} {f g h i : hom a b} (η : hom₂ f g) (θ : hom₂ g h) (ι : hom₂ h i) :
rel ((η ≫ θ) ≫ ι) (η ≫ (θ ≫ ι))
| whisker_left {a b c} (f : hom a b) (g h : hom b c) (η η' : hom₂ g h) :
rel η η' → rel (f ◁ η) (f ◁ η')
| whisker_left_id {a b c} (f : hom a b) (g : hom b c) :
rel (f ◁ 𝟙 g) (𝟙 (f.comp g))
| whisker_left_comp {a b c} (f : hom a b) {g h i : hom b c} (η : hom₂ g h) (θ : hom₂ h i) :
rel (f ◁ (η ≫ θ)) (f ◁ η ≫ f ◁ θ)
| id_whisker_left {a b} {f g : hom a b} (η : hom₂ f g) :
rel (hom.id a ◁ η) (λ_ f ≫ η ≫ λ⁻¹_ g)
| comp_whisker_left
{a b c d} (f : hom a b) (g : hom b c) {h h' : hom c d} (η : hom₂ h h') :
rel ((f.comp g) ◁ η) (α_ f g h ≫ f ◁ g ◁ η ≫ α⁻¹_ f g h')
| whisker_right {a b c} (f g : hom a b) (h : hom b c) (η η' : hom₂ f g) :
rel η η' → rel (η ▷ h) (η' ▷ h)
| id_whisker_right {a b c} (f : hom a b) (g : hom b c) :
rel (𝟙 f ▷ g) (𝟙 (f.comp g))
| comp_whisker_right {a b c} {f g h : hom a b} (i : hom b c) (η : hom₂ f g) (θ : hom₂ g h) :
rel ((η ≫ θ) ▷ i) (η ▷ i ≫ θ ▷ i)
| whisker_right_id {a b} {f g : hom a b} (η : hom₂ f g) :
rel (η ▷ hom.id b) (ρ_ f ≫ η ≫ ρ⁻¹_ g)
| whisker_right_comp
{a b c d} {f f' : hom a b} (g : hom b c) (h : hom c d) (η : hom₂ f f') :
rel (η ▷ (g.comp h)) (α⁻¹_ f g h ≫ η ▷ g ▷ h ≫ α_ f' g h)
| whisker_assoc
{a b c d} (f : hom a b) {g g' : hom b c} (η : hom₂ g g') (h : hom c d) :
rel ((f ◁ η) ▷ h) (α_ f g h ≫ f ◁ (η ▷ h)≫ α⁻¹_ f g' h)
| whisker_exchange {a b c} {f g : hom a b} {h i : hom b c} (η : hom₂ f g) (θ : hom₂ h i) :
rel (f ◁ θ ≫ η ▷ i) (η ▷ h ≫ g ◁ θ)
| associator_hom_inv {a b c d} (f : hom a b) (g : hom b c) (h : hom c d) :
rel (α_ f g h ≫ α⁻¹_ f g h) (𝟙 ((f.comp g).comp h))
| associator_inv_hom {a b c d} (f : hom a b) (g : hom b c) (h : hom c d) :
rel (α⁻¹_ f g h ≫ α_ f g h) (𝟙 (f.comp (g.comp h)))
| left_unitor_hom_inv {a b} (f : hom a b) :
rel (λ_ f ≫ λ⁻¹_ f) (𝟙 ((hom.id a).comp f))
| left_unitor_inv_hom {a b} (f : hom a b) :
rel (λ⁻¹_ f ≫ λ_ f) (𝟙 f)
| right_unitor_hom_inv {a b} (f : hom a b) :
rel (ρ_ f ≫ ρ⁻¹_ f) (𝟙 (f.comp (hom.id b)))
| right_unitor_inv_hom {a b} (f : hom a b) :
rel (ρ⁻¹_ f ≫ ρ_ f) (𝟙 f)
| pentagon {a b c d e} (f : hom a b) (g : hom b c) (h : hom c d) (i : hom d e) :
rel (α_ f g h ▷ i ≫ α_ f (g.comp h) i ≫ f ◁ α_ g h i)
(α_ (f.comp g) h i ≫ α_ f g (h.comp i))
| triangle {a b c} (f : hom a b) (g : hom b c) :
rel (α_ f (hom.id b) g ≫ f ◁ λ_ g) (ρ_ f ▷ g)
end
variables {B}
instance hom_category (a b : B) : category (hom a b) :=
{ hom := λ f g, quot (@rel _ _ _ _ f g),
id := λ f, quot.mk rel (hom₂.id f),
comp := λ f g h, quot.map₂ hom₂.vcomp rel.vcomp_right rel.vcomp_left,
id_comp' := by { rintros f g ⟨η⟩, exact quot.sound (rel.id_comp η) },
comp_id' := by { rintros f g ⟨η⟩, exact quot.sound (rel.comp_id η) },
assoc' := by { rintros f g h i ⟨η⟩ ⟨θ⟩ ⟨ι⟩, exact quot.sound (rel.assoc η θ ι) } }
/-- Bicategory structure on the free bicategory. -/
instance bicategory : bicategory (free_bicategory B) :=
{ hom := λ a b : B, hom a b,
id := hom.id,
comp := λ a b c, hom.comp,
hom_category := free_bicategory.hom_category,
whisker_left := λ a b c f g h η,
quot.map (hom₂.whisker_left f) (rel.whisker_left f g h) η,
whisker_left_id' := λ a b c f g, quot.sound (rel.whisker_left_id f g),
whisker_left_comp' := by
{ rintros a b c f g h i ⟨η⟩ ⟨θ⟩, exact quot.sound (rel.whisker_left_comp f η θ) },
id_whisker_left' := by
{ rintros a b f g ⟨η⟩, exact quot.sound (rel.id_whisker_left η) },
comp_whisker_left' := by
{ rintros a b c d f g h h' ⟨η⟩, exact quot.sound (rel.comp_whisker_left f g η) },
whisker_right := λ a b c f g η h,
quot.map (hom₂.whisker_right h) (rel.whisker_right f g h) η,
id_whisker_right' := λ a b c f g, quot.sound (rel.id_whisker_right f g),
comp_whisker_right' := by
{ rintros a b c f g h ⟨η⟩ ⟨θ⟩ i, exact quot.sound (rel.comp_whisker_right i η θ) },
whisker_right_id' := by
{ rintros a b f g ⟨η⟩, exact quot.sound (rel.whisker_right_id η) },
whisker_right_comp' := by
{ rintros a b c d f f' ⟨η⟩ g h, exact quot.sound (rel.whisker_right_comp g h η) },
whisker_assoc' := by
{ rintros a b c d f g g' ⟨η⟩ h, exact quot.sound (rel.whisker_assoc f η h) },
whisker_exchange' := by
{ rintros a b c f g h i ⟨η⟩ ⟨θ⟩, exact quot.sound (rel.whisker_exchange η θ) },
associator := λ a b c d f g h,
{ hom := quot.mk rel (hom₂.associator f g h),
inv := quot.mk rel (hom₂.associator_inv f g h),
hom_inv_id' := quot.sound (rel.associator_hom_inv f g h),
inv_hom_id' := quot.sound (rel.associator_inv_hom f g h) },
left_unitor := λ a b f,
{ hom := quot.mk rel (hom₂.left_unitor f),
inv := quot.mk rel (hom₂.left_unitor_inv f),
hom_inv_id' := quot.sound (rel.left_unitor_hom_inv f),
inv_hom_id' := quot.sound (rel.left_unitor_inv_hom f) },
right_unitor := λ a b f,
{ hom := quot.mk rel (hom₂.right_unitor f),
inv := quot.mk rel (hom₂.right_unitor_inv f),
hom_inv_id' := quot.sound (rel.right_unitor_hom_inv f),
inv_hom_id' := quot.sound (rel.right_unitor_inv_hom f) },
pentagon' := λ a b c d e f g h i, quot.sound (rel.pentagon f g h i),
triangle' := λ a b c f g, quot.sound (rel.triangle f g) }
variables {a b c d : free_bicategory B}
@[simp] lemma mk_vcomp {f g h : a ⟶ b} (η : hom₂ f g) (θ : hom₂ g h) :
quot.mk rel (η.vcomp θ) = (quot.mk rel η ≫ quot.mk rel θ : f ⟶ h) := rfl
@[simp] lemma mk_whisker_left (f : a ⟶ b) {g h : b ⟶ c} (η : hom₂ g h) :
quot.mk rel (hom₂.whisker_left f η) = (f ◁ quot.mk rel η : f ≫ g ⟶ f ≫ h) := rfl
@[simp] lemma mk_whisker_right {f g : a ⟶ b} (η : hom₂ f g) (h : b ⟶ c) :
quot.mk rel (hom₂.whisker_right h η) = (quot.mk rel η ▷ h : f ≫ h ⟶ g ≫ h) := rfl
variables (f : a ⟶ b) (g : b ⟶ c) (h : c ⟶ d)
lemma id_def : hom.id a = 𝟙 a := rfl
lemma comp_def : hom.comp f g = f ≫ g := rfl
@[simp] lemma mk_id : quot.mk _ (hom₂.id f) = 𝟙 f := rfl
@[simp] lemma mk_associator_hom : quot.mk _ (hom₂.associator f g h) = (α_ f g h).hom := rfl
@[simp] lemma mk_associator_inv : quot.mk _ (hom₂.associator_inv f g h) = (α_ f g h).inv := rfl
@[simp] lemma mk_left_unitor_hom : quot.mk _ (hom₂.left_unitor f) = (λ_ f).hom := rfl
@[simp] lemma mk_left_unitor_inv : quot.mk _ (hom₂.left_unitor_inv f) = (λ_ f).inv := rfl
@[simp] lemma mk_right_unitor_hom : quot.mk _ (hom₂.right_unitor f) = (ρ_ f).hom := rfl
@[simp] lemma mk_right_unitor_inv : quot.mk _ (hom₂.right_unitor_inv f) = (ρ_ f).inv := rfl
/-- Canonical prefunctor from `B` to `free_bicategory B`. -/
@[simps]
def of : prefunctor B (free_bicategory B) :=
{ obj := id,
map := λ a b, hom.of }
end
section
variables {B : Type u₁} [quiver.{v₁+1} B] {C : Type u₂} [category_struct.{v₂} C]
variables (F : prefunctor B C)
/-- Auxiliary definition for `lift`. -/
@[simp]
def lift_hom : ∀ {a b : B}, hom a b → (F.obj a ⟶ F.obj b)
| _ _ (hom.of f) := F.map f
| _ _ (hom.id a) := 𝟙 (F.obj a)
| _ _ (hom.comp f g) := lift_hom f ≫ lift_hom g
@[simp] lemma lift_hom_id (a : free_bicategory B) : lift_hom F (𝟙 a) = 𝟙 (F.obj a) := rfl
@[simp] lemma lift_hom_comp {a b c : free_bicategory B} (f : a ⟶ b) (g : b ⟶ c) :
lift_hom F (f ≫ g) = lift_hom F f ≫ lift_hom F g := rfl
end
section
variables {B : Type u₁} [quiver.{v₁+1} B] {C : Type u₂} [bicategory.{w₂ v₂} C]
variables (F : prefunctor B C)
/-- Auxiliary definition for `lift`. -/
@[simp]
def lift_hom₂ : ∀ {a b : B} {f g : hom a b}, hom₂ f g → (lift_hom F f ⟶ lift_hom F g)
| _ _ _ _ (hom₂.id _) := 𝟙 _
| _ _ _ _ (hom₂.associator _ _ _) := (α_ _ _ _).hom
| _ _ _ _ (hom₂.associator_inv _ _ _) := (α_ _ _ _).inv
| _ _ _ _ (hom₂.left_unitor _) := (λ_ _).hom
| _ _ _ _ (hom₂.left_unitor_inv _) := (λ_ _).inv
| _ _ _ _ (hom₂.right_unitor _) := (ρ_ _).hom
| _ _ _ _ (hom₂.right_unitor_inv _) := (ρ_ _).inv
| _ _ _ _ (hom₂.vcomp η θ) := lift_hom₂ η ≫ lift_hom₂ θ
| _ _ _ _ (hom₂.whisker_left f η) := lift_hom F f ◁ lift_hom₂ η
| _ _ _ _ (hom₂.whisker_right h η) := lift_hom₂ η ▷ lift_hom F h
local attribute [simp] whisker_exchange
lemma lift_hom₂_congr {a b : B} {f g : hom a b} {η θ : hom₂ f g} (H : rel η θ) :
lift_hom₂ F η = lift_hom₂ F θ :=
by induction H; tidy
/--
A prefunctor from a quiver `B` to a bicategory `C` can be lifted to a pseudofunctor from
`free_bicategory B` to `C`.
-/
@[simps]
def lift : pseudofunctor (free_bicategory B) C :=
{ obj := F.obj,
map := λ a b, lift_hom F,
map₂ := λ a b f g, quot.lift (lift_hom₂ F) (λ η θ H, lift_hom₂_congr F H),
map_id := λ a, iso.refl _,
map_comp := λ a b c f g, iso.refl _ }
end
end free_bicategory
end category_theory
|
f477260699296ec88bf00e4cc87ae1c34d459622 | e2fc96178628c7451e998a0db2b73877d0648be5 | /src/classes/context_free/basics/pumping.lean | 34a818c861dd5b90ea893eb53d9b3b2a1348c5af | [
"BSD-2-Clause"
] | permissive | madvorak/grammars | cd324ae19b28f7b8be9c3ad010ef7bf0fabe5df2 | 1447343a45fcb7821070f1e20b57288d437323a6 | refs/heads/main | 1,692,383,644,884 | 1,692,032,429,000 | 1,692,032,429,000 | 453,948,141 | 7 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 455 | lean | import classes.context_free.basics.definition
import utilities.list_utils
/-- Pumping lemma for context-free languages. -/
lemma CF_pumping {T : Type} {L : language T} (cf : is_CF L) :
∃ n : ℕ, ∀ w ∈ L, list.length w ≥ n → (
∃ u v x y z : list T,
(w = u ++ v ++ x ++ y ++ z) ∧
(v ++ y).length > 0 ∧
(v ++ x ++ y).length ≤ n ∧
(∀ i : ℕ, u ++ v ^ i ++ x ++ y ^ i ++ z ∈ L)
) :=
sorry
|
dc89328422a42909f1a5691103eaef89a04025ed | 57aec6ee746bc7e3a3dd5e767e53bd95beb82f6d | /stage0/src/Lean/Meta/DiscrTreeTypes.lean | bacbeb219d87a5574b249419465b87225e33a2a8 | [
"Apache-2.0"
] | permissive | collares/lean4 | 861a9269c4592bce49b71059e232ff0bfe4594cc | 52a4f535d853a2c7c7eea5fee8a4fa04c682c1ee | refs/heads/master | 1,691,419,031,324 | 1,618,678,138,000 | 1,618,678,138,000 | 358,989,750 | 0 | 0 | Apache-2.0 | 1,618,696,333,000 | 1,618,696,333,000 | null | UTF-8 | Lean | false | false | 1,088 | lean | /-
Copyright (c) 2019 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Leonardo de Moura
-/
import Lean.Expr
namespace Lean.Meta
/- See file `DiscrTree.lean` for the actual implementation and documentation. -/
namespace DiscrTree
inductive Key where
| const : Name → Nat → Key
| fvar : FVarId → Nat → Key
| lit : Literal → Key
| star : Key
| other : Key
| arrow : Key
deriving Inhabited, BEq
protected def Key.hash : Key → USize
| Key.const n a => mixHash 5237 $ mixHash (hash n) (hash a)
| Key.fvar n a => mixHash 3541 $ mixHash (hash n) (hash a)
| Key.lit v => mixHash 1879 $ hash v
| Key.star => 7883
| Key.other => 2411
| Key.arrow => 17
instance : Hashable Key := ⟨Key.hash⟩
inductive Trie (α : Type) where
| node (vs : Array α) (children : Array (Key × Trie α)) : Trie α
end DiscrTree
open DiscrTree
open Std (PersistentHashMap)
structure DiscrTree (α : Type) where
root : PersistentHashMap Key (Trie α) := {}
end Lean.Meta
|
6c1ad29ddb3b371e26166d308429c17668e5fa71 | 271e26e338b0c14544a889c31c30b39c989f2e0f | /stage0/src/Init/Lean/Elab/Util.lean | 9cf1f509c860419d24dd64e61d1d0e6b699b36ec | [
"Apache-2.0"
] | permissive | dgorokho/lean4 | 805f99b0b60c545b64ac34ab8237a8504f89d7d4 | e949a052bad59b1c7b54a82d24d516a656487d8a | refs/heads/master | 1,607,061,363,851 | 1,578,006,086,000 | 1,578,006,086,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 5,471 | lean | /-
Copyright (c) 2019 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Leonardo de Moura
-/
prelude
import Init.Lean.Util.Trace
import Init.Lean.Parser
namespace Lean
namespace Elab
def checkSyntaxNodeKind (env : Environment) (k : Name) : ExceptT String Id Name :=
if Parser.isValidSyntaxNodeKind env k then pure k
else throw "failed"
def checkSyntaxNodeKindAtNamespaces (env : Environment) (k : Name) : List Name → ExceptT String Id Name
| [] => throw "failed"
| n::ns => checkSyntaxNodeKind env (n ++ k) <|> checkSyntaxNodeKindAtNamespaces ns
def syntaxNodeKindOfAttrParam (env : Environment) (parserNamespace : Name) (arg : Syntax) : ExceptT String Id SyntaxNodeKind :=
match attrParamSyntaxToIdentifier arg with
| some k =>
checkSyntaxNodeKind env k
<|>
checkSyntaxNodeKindAtNamespaces env k env.getNamespaces
<|>
checkSyntaxNodeKind env (parserNamespace ++ k)
<|>
throw ("invalid syntax node kind '" ++ toString k ++ "'")
| none => throw ("syntax node kind is missing")
structure ElabAttributeOLeanEntry :=
(kind : SyntaxNodeKind)
(constName : Name)
structure ElabAttributeEntry (γ : Type) extends ElabAttributeOLeanEntry :=
(elabFn : γ)
abbrev ElabFnTable (γ : Type) := SMap SyntaxNodeKind γ
structure ElabAttributeExtensionState (γ : Type) :=
(newEntries : List ElabAttributeOLeanEntry := [])
(table : ElabFnTable γ := {})
instance ElabAttributeExtensionState.inhabited (γ) : Inhabited (ElabAttributeExtensionState γ) :=
⟨{}⟩
abbrev ElabAttributeExtension (γ) := PersistentEnvExtension ElabAttributeOLeanEntry (ElabAttributeEntry γ) (ElabAttributeExtensionState γ)
structure ElabAttribute (γ : Type) :=
(attr : AttributeImpl)
(ext : ElabAttributeExtension γ)
(kind : String)
instance ElabAttribute.inhabited {γ} : Inhabited (ElabAttribute γ) := ⟨{ attr := arbitrary _, ext := arbitrary _, kind := "" }⟩
private def ElabAttribute.mkInitial {γ} (builtinTableRef : IO.Ref (ElabFnTable γ)) : IO (ElabAttributeExtensionState γ) := do
table ← builtinTableRef.get;
pure { table := table }
private def throwUnexpectedElabType {γ} (typeName : Name) (constName : Name) : ExceptT String Id γ :=
throw ("unexpected elaborator type at '" ++ toString constName ++ "' `" ++ toString typeName ++ "` expected")
private unsafe def mkElabFnOfConstantUnsafe (γ) (env : Environment) (typeName : Name) (constName : Name) : ExceptT String Id γ :=
match env.find? constName with
| none => throw ("unknow constant '" ++ toString constName ++ "'")
| some info =>
match info.type with
| Expr.const c _ _ =>
if c != typeName then throwUnexpectedElabType typeName constName
else env.evalConst γ constName
| _ => throwUnexpectedElabType typeName constName
@[implementedBy mkElabFnOfConstantUnsafe]
constant mkElabFnOfConstant (γ : Type) (env : Environment) (typeName : Name) (constName : Name) : ExceptT String Id γ := throw ""
private def ElabAttribute.addImportedParsers {γ} (typeName : Name) (builtinTableRef : IO.Ref (ElabFnTable γ)) (env : Environment) (es : Array (Array ElabAttributeOLeanEntry))
: IO (ElabAttributeExtensionState γ) := do
table ← builtinTableRef.get;
table ← es.foldlM
(fun table entries =>
entries.foldlM
(fun (table : ElabFnTable γ) entry =>
match mkElabFnOfConstant γ env typeName entry.constName with
| Except.ok f => pure $ table.insert entry.kind f
| Except.error ex => throw (IO.userError ex))
table)
table;
pure { table := table }
private def ElabAttribute.addExtensionEntry {γ} (s : ElabAttributeExtensionState γ) (e : ElabAttributeEntry γ) : ElabAttributeExtensionState γ :=
{ table := s.table.insert e.kind e.elabFn, newEntries := e.toElabAttributeOLeanEntry :: s.newEntries }
private def ElabAttribute.add {γ} (parserNamespace : Name) (typeName : Name) (ext : ElabAttributeExtension γ)
(env : Environment) (constName : Name) (arg : Syntax) (persistent : Bool) : IO Environment := do
match mkElabFnOfConstant γ env typeName constName with
| Except.error ex => throw (IO.userError ex)
| Except.ok f => do
kind ← IO.ofExcept $ syntaxNodeKindOfAttrParam env parserNamespace arg;
pure $ ext.addEntry env { kind := kind, elabFn := f, constName := constName }
/- TODO: add support for scoped attributes -/
def mkElabAttribute (γ) (attrName : Name) (parserNamespace : Name) (typeName : Name) (kind : String) (builtinTableRef : IO.Ref (ElabFnTable γ)) : IO (ElabAttribute γ) := do
ext : ElabAttributeExtension γ ← registerPersistentEnvExtension {
name := attrName,
mkInitial := ElabAttribute.mkInitial builtinTableRef,
addImportedFn := ElabAttribute.addImportedParsers typeName builtinTableRef,
addEntryFn := ElabAttribute.addExtensionEntry,
exportEntriesFn := fun s => s.newEntries.reverse.toArray,
statsFn := fun s => format "number of local entries: " ++ format s.newEntries.length
};
let attrImpl : AttributeImpl := {
name := attrName,
descr := kind ++ " elaborator",
add := ElabAttribute.add parserNamespace typeName ext,
applicationTime := AttributeApplicationTime.afterCompilation
};
registerAttribute attrImpl;
pure { ext := ext, attr := attrImpl, kind := kind }
@[init] private def regTraceClasses : IO Unit := do
registerTraceClass `Elab;
registerTraceClass `Elab.step
end Elab
end Lean
|
a16fecd7e432f9de2452d7fe81a2658557cccdee | 74addaa0e41490cbaf2abd313a764c96df57b05d | /Mathlib/algebra/category/Group/adjunctions.lean | ae533632bd5109e63028f974d66d28232e18d04a | [] | no_license | AurelienSaue/Mathlib4_auto | f538cfd0980f65a6361eadea39e6fc639e9dae14 | 590df64109b08190abe22358fabc3eae000943f2 | refs/heads/master | 1,683,906,849,776 | 1,622,564,669,000 | 1,622,564,669,000 | 371,723,747 | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 1,386 | lean | /-
Copyright (c) 2019 Scott Morrison. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Scott Morrison, Johannes Hölzl
-/
import Mathlib.PrePort
import Mathlib.Lean3Lib.init.default
import Mathlib.algebra.category.Group.basic
import Mathlib.group_theory.free_abelian_group
import Mathlib.PostPort
universes u
namespace Mathlib
/-!
The free abelian group on a type is the left adjoint of the
forgetful functor from abelian groups to types.
-/
namespace AddCommGroup
/--
The free functor `Type u ⥤ AddCommGroup` sending a type `X` to the
free abelian group with generators `x : X`.
-/
def free : Type u ⥤ AddCommGroup :=
category_theory.functor.mk (fun (α : Type u) => of (free_abelian_group α)) fun (X Y : Type u) => free_abelian_group.map
@[simp] theorem free_obj_coe {α : Type u} : ↥(category_theory.functor.obj free α) = free_abelian_group α :=
rfl
@[simp] theorem free_map_coe {α : Type u} {β : Type u} {f : α → β} (x : free_abelian_group α) : coe_fn (category_theory.functor.map free f) x = f <$> x :=
rfl
/--
The free-forgetful adjunction for abelian groups.
-/
def adj : free ⊣ category_theory.forget AddCommGroup :=
category_theory.adjunction.mk_of_hom_equiv
(category_theory.adjunction.core_hom_equiv.mk
fun (X : Type u) (G : AddCommGroup) => free_abelian_group.hom_equiv X ↥G)
|
dda9672fcfcbc8cd6cd430a9ef457e330d46a3fa | 77c5b91fae1b966ddd1db969ba37b6f0e4901e88 | /src/group_theory/specific_groups/alternating.lean | 61abe4dee4bc7e1b024371ea56a4f9db31e7c550 | [
"Apache-2.0"
] | permissive | dexmagic/mathlib | ff48eefc56e2412429b31d4fddd41a976eb287ce | 7a5d15a955a92a90e1d398b2281916b9c41270b2 | refs/heads/master | 1,693,481,322,046 | 1,633,360,193,000 | 1,633,360,193,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 15,098 | lean | /-
Copyright (c) 2021 Aaron Anderson. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Aaron Anderson
-/
import group_theory.perm.fin
import tactic.interval_cases
/-!
# Alternating Groups
The alternating group on a finite type `α` is the subgroup of the permutation group `perm α`
consisting of the even permutations.
## Main definitions
* `alternating_group α` is the alternating group on `α`, defined as a `subgroup (perm α)`.
## Main results
* `two_mul_card_alternating_group` shows that the alternating group is half as large as
the permutation group it is a subgroup of.
* `closure_three_cycles_eq_alternating` shows that the alternating group is
generated by 3-cycles.
* `alternating_group.is_simple_group_five` shows that the alternating group on `fin 5` is simple.
The proof shows that the normal closure of any non-identity element of this group contains a
3-cycle.
## Tags
alternating group permutation
## TODO
* Show that `alternating_group α` is simple if and only if `fintype.card α ≠ 4`.
-/
open equiv equiv.perm subgroup fintype
variables (α : Type*) [fintype α] [decidable_eq α]
/-- The alternating group on a finite type, realized as a subgroup of `equiv.perm`.
For $A_n$, use `alternating_group (fin n)`. -/
@[derive fintype] def alternating_group : subgroup (perm α) :=
sign.ker
instance [subsingleton α] : unique (alternating_group α) :=
⟨⟨1⟩, λ ⟨p, hp⟩, subtype.eq (subsingleton.elim p _)⟩
variables {α}
lemma alternating_group_eq_sign_ker : alternating_group α = sign.ker := rfl
namespace equiv.perm
@[simp]
lemma mem_alternating_group {f : perm α} :
f ∈ alternating_group α ↔ sign f = 1 :=
sign.mem_ker
lemma prod_list_swap_mem_alternating_group_iff_even_length {l : list (perm α)}
(hl : ∀ g ∈ l, is_swap g) :
l.prod ∈ alternating_group α ↔ even l.length :=
begin
rw [mem_alternating_group, sign_prod_list_swap hl, ← units.coe_eq_one, units.coe_pow,
units.coe_neg_one, nat.neg_one_pow_eq_one_iff_even],
dec_trivial
end
lemma is_three_cycle.mem_alternating_group {f : perm α} (h : is_three_cycle f) :
f ∈ alternating_group α :=
mem_alternating_group.2 h.sign
lemma fin_rotate_bit1_mem_alternating_group {n : ℕ} :
fin_rotate (bit1 n) ∈ alternating_group (fin (bit1 n)) :=
by rw [mem_alternating_group, bit1, sign_fin_rotate, pow_bit0', int.units_mul_self, one_pow]
end equiv.perm
lemma two_mul_card_alternating_group [nontrivial α] :
2 * card (alternating_group α) = card (perm α) :=
begin
let := (quotient_group.quotient_ker_equiv_of_surjective _ (sign_surjective α)).to_equiv,
rw [←fintype.card_units_int, ←fintype.card_congr this],
exact (subgroup.card_eq_card_quotient_mul_card_subgroup _).symm,
end
namespace alternating_group
open equiv.perm
instance normal : (alternating_group α).normal := sign.normal_ker
lemma is_conj_of {σ τ : alternating_group α}
(hc : is_conj (σ : perm α) (τ : perm α)) (hσ : (σ : perm α).support.card + 2 ≤ fintype.card α) :
is_conj σ τ :=
begin
obtain ⟨σ, hσ⟩ := σ,
obtain ⟨τ, hτ⟩ := τ,
obtain ⟨π, hπ⟩ := is_conj_iff.1 hc,
rw [subtype.coe_mk, subtype.coe_mk] at hπ,
cases int.units_eq_one_or (sign π) with h h,
{ rw is_conj_iff,
refine ⟨⟨π, mem_alternating_group.mp h⟩, subtype.val_injective _⟩,
simpa only [subtype.val_eq_coe, subgroup.coe_mul, coe_inv, coe_mk] using hπ },
{ have h2 : 2 ≤ σ.supportᶜ.card,
{ rw [finset.card_compl, nat.le_sub_left_iff_add_le σ.support.card_le_univ],
exact hσ },
obtain ⟨a, ha, b, hb, ab⟩ := finset.one_lt_card.1 h2,
refine is_conj_iff.2 ⟨⟨π * swap a b, _⟩, subtype.val_injective _⟩,
{ rw [mem_alternating_group, monoid_hom.map_mul, h, sign_swap ab, int.units_mul_self] },
{ simp only [←hπ, coe_mk, subgroup.coe_mul, subtype.val_eq_coe],
have hd : disjoint (swap a b) σ,
{ rw [disjoint_iff_disjoint_support, support_swap ab, finset.disjoint_insert_left,
finset.singleton_disjoint],
exact ⟨finset.mem_compl.1 ha, finset.mem_compl.1 hb⟩ },
rw [mul_assoc π _ σ, hd.commute.eq, coe_inv, coe_mk],
simp [mul_assoc] } }
end
lemma is_three_cycle_is_conj (h5 : 5 ≤ fintype.card α)
{σ τ : alternating_group α}
(hσ : is_three_cycle (σ : perm α)) (hτ : is_three_cycle (τ : perm α)) :
is_conj σ τ :=
alternating_group.is_conj_of (is_conj_iff_cycle_type_eq.2 (hσ.trans hτ.symm))
(by rwa hσ.card_support)
end alternating_group
namespace equiv.perm
open alternating_group
@[simp]
theorem closure_three_cycles_eq_alternating :
closure {σ : perm α | is_three_cycle σ} = alternating_group α :=
closure_eq_of_le _ (λ σ hσ, mem_alternating_group.2 hσ.sign) $ λ σ hσ, begin
suffices hind : ∀ (n : ℕ) (l : list (perm α)) (hl : ∀ g, g ∈ l → is_swap g)
(hn : l.length = 2 * n), l.prod ∈ closure {σ : perm α | is_three_cycle σ},
{ obtain ⟨l, rfl, hl⟩ := trunc_swap_factors σ,
obtain ⟨n, hn⟩ := (prod_list_swap_mem_alternating_group_iff_even_length hl).1 hσ,
exact hind n l hl hn },
intro n,
induction n with n ih; intros l hl hn,
{ simp [list.length_eq_zero.1 hn, one_mem] },
rw [nat.mul_succ] at hn,
obtain ⟨a, l, rfl⟩ := l.exists_of_length_succ hn,
rw [list.length_cons, nat.succ_inj'] at hn,
obtain ⟨b, l, rfl⟩ := l.exists_of_length_succ hn,
rw [list.prod_cons, list.prod_cons, ← mul_assoc],
rw [list.length_cons, nat.succ_inj'] at hn,
exact mul_mem _ (is_swap.mul_mem_closure_three_cycles (hl a (list.mem_cons_self a _))
(hl b (list.mem_cons_of_mem a (l.mem_cons_self b))))
(ih _ (λ g hg, hl g (list.mem_cons_of_mem _ (list.mem_cons_of_mem _ hg))) hn),
end
/-- A key lemma to prove $A_5$ is simple. Shows that any normal subgroup of an alternating group on
at least 5 elements is the entire alternating group if it contains a 3-cycle. -/
lemma is_three_cycle.alternating_normal_closure (h5 : 5 ≤ fintype.card α)
{f : perm α} (hf : is_three_cycle f) :
normal_closure ({⟨f, hf.mem_alternating_group⟩} : set (alternating_group α)) = ⊤ :=
eq_top_iff.2 begin
have hi : function.injective (alternating_group α).subtype := subtype.coe_injective,
refine eq_top_iff.1 (map_injective hi (le_antisymm (map_mono le_top) _)),
rw [← monoid_hom.range_eq_map, subtype_range, normal_closure, monoid_hom.map_closure],
refine (le_of_eq closure_three_cycles_eq_alternating.symm).trans (closure_mono _),
intros g h,
obtain ⟨c, rfl⟩ := is_conj_iff.1 (is_conj_iff_cycle_type_eq.2 (hf.trans h.symm)),
refine ⟨⟨c * f * c⁻¹, h.mem_alternating_group⟩, _, rfl⟩,
rw group.mem_conjugates_of_set_iff,
exact ⟨⟨f, hf.mem_alternating_group⟩, set.mem_singleton _, is_three_cycle_is_conj h5 hf h⟩
end
/-- Part of proving $A_5$ is simple. Shows that the square of any element of $A_5$ with a 3-cycle in
its cycle decomposition is a 3-cycle, so the normal closure of the original element must be
$A_5$. -/
lemma is_three_cycle_sq_of_three_mem_cycle_type_five {g : perm (fin 5)} (h : 3 ∈ cycle_type g) :
is_three_cycle (g * g) :=
begin
obtain ⟨c, g', rfl, hd, hc, h3⟩ := mem_cycle_type_iff.1 h,
simp only [mul_assoc],
rw [hd.commute.eq, ← mul_assoc g'],
suffices hg' : order_of g' ∣ 2,
{ rw [← pow_two, order_of_dvd_iff_pow_eq_one.1 hg', one_mul],
exact (card_support_eq_three_iff.1 h3).is_three_cycle_sq },
rw [← lcm_cycle_type, multiset.lcm_dvd],
intros n hn,
rw le_antisymm (two_le_of_mem_cycle_type hn) (le_trans (le_card_support_of_mem_cycle_type hn) _),
apply le_of_add_le_add_left,
rw [← hd.card_support_mul, h3],
exact (c * g').support.card_le_univ,
end
end equiv.perm
namespace alternating_group
open equiv.perm
lemma nontrivial_of_three_le_card (h3 : 3 ≤ card α) : nontrivial (alternating_group α) :=
begin
haveI := fintype.one_lt_card_iff_nontrivial.1 (lt_trans dec_trivial h3),
rw ← fintype.one_lt_card_iff_nontrivial,
refine lt_of_mul_lt_mul_left _ (le_of_lt nat.prime_two.pos),
rw [two_mul_card_alternating_group, card_perm, ← nat.succ_le_iff],
exact le_trans h3 (card α).self_le_factorial,
end
instance {n : ℕ} : nontrivial (alternating_group (fin (n + 3))) :=
nontrivial_of_three_le_card (by { rw card_fin, exact le_add_left (le_refl 3) })
/-- The normal closure of the 5-cycle `fin_rotate 5` within $A_5$ is the whole group. This will be
used to show that the normal closure of any 5-cycle within $A_5$ is the whole group. -/
lemma normal_closure_fin_rotate_five :
(normal_closure ({⟨fin_rotate 5, fin_rotate_bit1_mem_alternating_group⟩} :
set (alternating_group (fin 5)))) = ⊤ :=
eq_top_iff.2 begin
have h3 : is_three_cycle ((fin.cycle_range 2) * (fin_rotate 5) *
(fin.cycle_range 2)⁻¹ * (fin_rotate 5)⁻¹) := card_support_eq_three_iff.1 dec_trivial,
rw ← h3.alternating_normal_closure (by rw [card_fin]),
refine normal_closure_le_normal _,
rw [set.singleton_subset_iff, set_like.mem_coe],
have h : (⟨fin_rotate 5, fin_rotate_bit1_mem_alternating_group⟩ :
alternating_group (fin 5)) ∈ normal_closure _ :=
set_like.mem_coe.1 (subset_normal_closure (set.mem_singleton _)),
exact mul_mem _ (subgroup.normal_closure_normal.conj_mem _ h
⟨fin.cycle_range 2, fin.is_three_cycle_cycle_range_two.mem_alternating_group⟩) (inv_mem _ h),
end
/-- The normal closure of $(04)(13)$ within $A_5$ is the whole group. This will be
used to show that the normal closure of any permutation of cycle type $(2,2)$ is the whole group.
-/
lemma normal_closure_swap_mul_swap_five :
(normal_closure ({⟨swap 0 4 * swap 1 3, mem_alternating_group.2 dec_trivial⟩} :
set (alternating_group (fin 5)))) = ⊤ :=
begin
let g1 := (⟨swap 0 2 * swap 0 1, mem_alternating_group.2 dec_trivial⟩ :
alternating_group (fin 5)),
let g2 := (⟨swap 0 4 * swap 1 3, mem_alternating_group.2 dec_trivial⟩ :
alternating_group (fin 5)),
have h5 : g1 * g2 * g1⁻¹ * g2⁻¹ = ⟨fin_rotate 5, fin_rotate_bit1_mem_alternating_group⟩,
{ rw subtype.ext_iff,
simp only [fin.coe_mk, subgroup.coe_mul, subgroup.coe_inv, fin.coe_mk],
dec_trivial },
rw [eq_top_iff, ← normal_closure_fin_rotate_five],
refine normal_closure_le_normal _,
rw [set.singleton_subset_iff, set_like.mem_coe, ← h5],
have h : g2 ∈ normal_closure {g2} :=
set_like.mem_coe.1 (subset_normal_closure (set.mem_singleton _)),
exact mul_mem _ (subgroup.normal_closure_normal.conj_mem _ h g1) (inv_mem _ h),
end
/-- Shows that any non-identity element of $A_5$ whose cycle decomposition consists only of swaps
is conjugate to $(04)(13)$. This is used to show that the normal closure of such a permutation
in $A_5$ is $A_5$. -/
lemma is_conj_swap_mul_swap_of_cycle_type_two {g : perm (fin 5)}
(ha : g ∈ alternating_group (fin 5))
(h1 : g ≠ 1)
(h2 : ∀ n, n ∈ cycle_type (g : perm (fin 5)) → n = 2) :
is_conj (swap 0 4 * swap 1 3) g :=
begin
have h := g.support.card_le_univ,
rw [← sum_cycle_type, multiset.eq_repeat_of_mem h2, multiset.sum_repeat, smul_eq_mul] at h,
rw [← multiset.eq_repeat'] at h2,
have h56 : 5 ≤ 3 * 2 := nat.le_succ 5,
have h := le_of_mul_le_mul_right (le_trans h h56) dec_trivial,
rw [mem_alternating_group, sign_of_cycle_type, h2, multiset.map_repeat, multiset.prod_repeat,
int.units_pow_two, units.ext_iff, units.coe_one, units.coe_pow, units.coe_neg_one,
nat.neg_one_pow_eq_one_iff_even _] at ha,
swap, { dec_trivial },
rw [is_conj_iff_cycle_type_eq, h2],
interval_cases multiset.card g.cycle_type,
{ exact (h1 (card_cycle_type_eq_zero.1 h_1)).elim },
{ contrapose! ha,
simp [h_1] },
{ have h04 : (0 : fin 5) ≠ 4 := dec_trivial,
have h13 : (1 : fin 5) ≠ 3 := dec_trivial,
rw [h_1, disjoint.cycle_type, (is_cycle_swap h04).cycle_type, (is_cycle_swap h13).cycle_type,
card_support_swap h04, card_support_swap h13],
{ refl },
{ rw [disjoint_iff_disjoint_support, support_swap h04, support_swap h13],
dec_trivial } },
{ contrapose! ha,
simp [h_1] }
end
/-- Shows that $A_5$ is simple by taking an arbitrary non-identity element and showing by casework
on its cycle type that its normal closure is all of $A_5$. -/
instance is_simple_group_five : is_simple_group (alternating_group (fin 5)) :=
⟨exists_pair_ne _, λ H, begin
introI Hn,
refine or_not.imp (id) (λ Hb, _),
rw [eq_bot_iff_forall] at Hb,
push_neg at Hb,
obtain ⟨⟨g, gA⟩, gH, g1⟩ : ∃ (x : ↥(alternating_group (fin 5))), x ∈ H ∧ x ≠ 1 := Hb,
-- `g` is a non-identity alternating permutation in a normal subgroup `H` of $A_5$.
rw [← set_like.mem_coe, ← set.singleton_subset_iff] at gH,
refine eq_top_iff.2 (le_trans (ge_of_eq _) (normal_closure_le_normal gH)),
-- It suffices to show that the normal closure of `g` in $A_5$ is $A_5$.
by_cases h2 : ∀ n ∈ g.cycle_type, n = 2,
{ -- If the cycle decomposition of `g` consists entirely of swaps, then the cycle type is $(2,2)$.
-- This means that it is conjugate to $(04)(13)$, whose normal closure is $A_5$.
rw [ne.def, subtype.ext_iff] at g1,
exact (is_conj_swap_mul_swap_of_cycle_type_two gA g1 h2).normal_closure_eq_top_of
normal_closure_swap_mul_swap_five },
push_neg at h2,
obtain ⟨n, ng, n2⟩ : ∃ (n : ℕ), n ∈ g.cycle_type ∧ n ≠ 2 := h2,
-- `n` is the size of a non-swap cycle in the decomposition of `g`.
have n2' : 2 < n := lt_of_le_of_ne (two_le_of_mem_cycle_type ng) n2.symm,
have n5 : n ≤ 5 := le_trans _ g.support.card_le_univ,
-- We check that `2 < n ≤ 5`, so that `interval_cases` has a precise range to check.
swap, { obtain ⟨m, hm⟩ := multiset.exists_cons_of_mem ng,
rw [← sum_cycle_type, hm, multiset.sum_cons],
exact le_add_right (le_refl _) },
interval_cases n, -- This breaks into cases `n = 3`, `n = 4`, `n = 5`.
{ -- If `n = 3`, then `g` has a 3-cycle in its decomposition, so `g^2` is a 3-cycle.
-- `g^2` is in the normal closure of `g`, so that normal closure must be $A_5$.
rw [eq_top_iff, ← (is_three_cycle_sq_of_three_mem_cycle_type_five ng).alternating_normal_closure
(by rw card_fin )],
refine normal_closure_le_normal _,
rw [set.singleton_subset_iff, set_like.mem_coe],
have h := set_like.mem_coe.1 (subset_normal_closure (set.mem_singleton _)),
exact mul_mem _ h h },
{ -- The case `n = 4` leads to contradiction, as no element of $A_5$ includes a 4-cycle.
have con := mem_alternating_group.1 gA,
contrapose! con,
rw [sign_of_cycle_type, cycle_type_of_card_le_mem_cycle_type_add_two dec_trivial ng,
multiset.map_singleton, multiset.prod_singleton],
dec_trivial },
{ -- If `n = 5`, then `g` is itself a 5-cycle, conjugate to `fin_rotate 5`.
refine (is_conj_iff_cycle_type_eq.2 _).normal_closure_eq_top_of
normal_closure_fin_rotate_five,
rw [cycle_type_of_card_le_mem_cycle_type_add_two dec_trivial ng, cycle_type_fin_rotate] }
end⟩
end alternating_group
|
9ef5f8e69a6b666aa770d2b9233577b668f7e004 | 8cae430f0a71442d02dbb1cbb14073b31048e4b0 | /src/data/set/lattice.lean | d29f105c838955a1fb58b6c3cce4652e0af68801 | [
"Apache-2.0"
] | permissive | leanprover-community/mathlib | 56a2cadd17ac88caf4ece0a775932fa26327ba0e | 442a83d738cb208d3600056c489be16900ba701d | refs/heads/master | 1,693,584,102,358 | 1,693,471,902,000 | 1,693,471,902,000 | 97,922,418 | 1,595 | 352 | Apache-2.0 | 1,694,693,445,000 | 1,500,624,130,000 | Lean | UTF-8 | Lean | false | false | 66,571 | lean | /-
Copyright (c) 2014 Jeremy Avigad. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jeremy Avigad, Leonardo de Moura, Johannes Hölzl, Mario Carneiro
-/
import order.complete_boolean_algebra
import order.directed
import order.galois_connection
/-!
# The set lattice
> THIS FILE IS SYNCHRONIZED WITH MATHLIB4.
> Any changes to this file require a corresponding PR to mathlib4.
This file provides usual set notation for unions and intersections, a `complete_lattice` instance
for `set α`, and some more set constructions.
## Main declarations
* `set.Union`: Union of an indexed family of sets.
* `set.Inter`: Intersection of an indexed family of sets.
* `set.sInter`: **s**et **Inter**. Intersection of sets belonging to a set of sets.
* `set.sUnion`: **s**et **Union**. Union of sets belonging to a set of sets. This is actually
defined in core Lean.
* `set.sInter_eq_bInter`, `set.sUnion_eq_bInter`: Shows that `⋂₀ s = ⋂ x ∈ s, x` and
`⋃₀ s = ⋃ x ∈ s, x`.
* `set.complete_boolean_algebra`: `set α` is a `complete_boolean_algebra` with `≤ = ⊆`, `< = ⊂`,
`⊓ = ∩`, `⊔ = ∪`, `⨅ = ⋂`, `⨆ = ⋃` and `\` as the set difference. See `set.boolean_algebra`.
* `set.kern_image`: For a function `f : α → β`, `s.kern_image f` is the set of `y` such that
`f ⁻¹ y ⊆ s`.
* `set.seq`: Union of the image of a set under a **seq**uence of functions. `seq s t` is the union
of `f '' t` over all `f ∈ s`, where `t : set α` and `s : set (α → β)`.
* `set.Union_eq_sigma_of_disjoint`: Equivalence between `⋃ i, t i` and `Σ i, t i`, where `t` is an
indexed family of disjoint sets.
## Naming convention
In lemma names,
* `⋃ i, s i` is called `Union`
* `⋂ i, s i` is called `Inter`
* `⋃ i j, s i j` is called `Union₂`. This is a `Union` inside a `Union`.
* `⋂ i j, s i j` is called `Inter₂`. This is an `Inter` inside an `Inter`.
* `⋃ i ∈ s, t i` is called `bUnion` for "bounded `Union`". This is the special case of `Union₂`
where `j : i ∈ s`.
* `⋂ i ∈ s, t i` is called `bInter` for "bounded `Inter`". This is the special case of `Inter₂`
where `j : i ∈ s`.
## Notation
* `⋃`: `set.Union`
* `⋂`: `set.Inter`
* `⋃₀`: `set.sUnion`
* `⋂₀`: `set.sInter`
-/
open function tactic set
universes u
variables {α β γ : Type*} {ι ι' ι₂ : Sort*} {κ κ₁ κ₂ : ι → Sort*} {κ' : ι' → Sort*}
namespace set
/-! ### Complete lattice and complete Boolean algebra instances -/
instance : has_Inf (set α) := ⟨λ s, {a | ∀ t ∈ s, a ∈ t}⟩
instance : has_Sup (set α) := ⟨λ s, {a | ∃ t ∈ s, a ∈ t}⟩
/-- Intersection of a set of sets. -/
def sInter (S : set (set α)) : set α := Inf S
/-- Union of a set of sets. -/
def sUnion (S : set (set α)) : set α := Sup S
prefix `⋂₀ `:110 := sInter
prefix `⋃₀ `:110 := sUnion
@[simp] theorem mem_sInter {x : α} {S : set (set α)} : x ∈ ⋂₀ S ↔ ∀ t ∈ S, x ∈ t := iff.rfl
@[simp] theorem mem_sUnion {x : α} {S : set (set α)} : x ∈ ⋃₀ S ↔ ∃ t ∈ S, x ∈ t := iff.rfl
/-- Indexed union of a family of sets -/
def Union (s : ι → set β) : set β := supr s
/-- Indexed intersection of a family of sets -/
def Inter (s : ι → set β) : set β := infi s
notation `⋃` binders `, ` r:(scoped f, Union f) := r
notation `⋂` binders `, ` r:(scoped f, Inter f) := r
@[simp] lemma Sup_eq_sUnion (S : set (set α)) : Sup S = ⋃₀ S := rfl
@[simp] lemma Inf_eq_sInter (S : set (set α)) : Inf S = ⋂₀ S := rfl
@[simp] lemma supr_eq_Union (s : ι → set α) : supr s = Union s := rfl
@[simp] lemma infi_eq_Inter (s : ι → set α) : infi s = Inter s := rfl
@[simp] lemma mem_Union {x : α} {s : ι → set α} : x ∈ (⋃ i, s i) ↔ ∃ i, x ∈ s i :=
⟨λ ⟨t, ⟨⟨a, (t_eq : s a = t)⟩, (h : x ∈ t)⟩⟩, ⟨a, t_eq.symm ▸ h⟩,
λ ⟨a, h⟩, ⟨s a, ⟨⟨a, rfl⟩, h⟩⟩⟩
@[simp] lemma mem_Inter {x : α} {s : ι → set α} : x ∈ (⋂ i, s i) ↔ ∀ i, x ∈ s i :=
⟨λ (h : ∀ a ∈ {a : set α | ∃ i, s i = a}, x ∈ a) a, h (s a) ⟨a, rfl⟩,
λ h t ⟨a, (eq : s a = t)⟩, eq ▸ h a⟩
lemma mem_Union₂ {x : γ} {s : Π i, κ i → set γ} : x ∈ (⋃ i j, s i j) ↔ ∃ i j, x ∈ s i j :=
by simp_rw mem_Union
lemma mem_Inter₂ {x : γ} {s : Π i, κ i → set γ} : x ∈ (⋂ i j, s i j) ↔ ∀ i j, x ∈ s i j :=
by simp_rw mem_Inter
lemma mem_Union_of_mem {s : ι → set α} {a : α} (i : ι) (ha : a ∈ s i) : a ∈ ⋃ i, s i :=
mem_Union.2 ⟨i, ha⟩
lemma mem_Union₂_of_mem {s : Π i, κ i → set α} {a : α} {i : ι} (j : κ i) (ha : a ∈ s i j) :
a ∈ ⋃ i j, s i j :=
mem_Union₂.2 ⟨i, j, ha⟩
lemma mem_Inter_of_mem {s : ι → set α} {a : α} (h : ∀ i, a ∈ s i) : a ∈ ⋂ i, s i := mem_Inter.2 h
lemma mem_Inter₂_of_mem {s : Π i, κ i → set α} {a : α} (h : ∀ i j, a ∈ s i j) : a ∈ ⋂ i j, s i j :=
mem_Inter₂.2 h
instance : complete_boolean_algebra (set α) :=
{ Sup := Sup,
Inf := Inf,
le_Sup := λ s t t_in a a_in, ⟨t, ⟨t_in, a_in⟩⟩,
Sup_le := λ s t h a ⟨t', ⟨t'_in, a_in⟩⟩, h t' t'_in a_in,
le_Inf := λ s t h a a_in t' t'_in, h t' t'_in a_in,
Inf_le := λ s t t_in a h, h _ t_in,
infi_sup_le_sup_Inf := λ s S x, iff.mp $ by simp [forall_or_distrib_left],
inf_Sup_le_supr_inf := λ s S x, iff.mp $ by simp [exists_and_distrib_left],
.. set.boolean_algebra }
section galois_connection
variables {f : α → β}
protected lemma image_preimage : galois_connection (image f) (preimage f) :=
λ a b, image_subset_iff
/-- `kern_image f s` is the set of `y` such that `f ⁻¹ y ⊆ s`. -/
def kern_image (f : α → β) (s : set α) : set β := {y | ∀ ⦃x⦄, f x = y → x ∈ s}
protected lemma preimage_kern_image : galois_connection (preimage f) (kern_image f) :=
λ a b,
⟨ λ h x hx y hy, have f y ∈ a, from hy.symm ▸ hx, h this,
λ h x (hx : f x ∈ a), h hx rfl⟩
end galois_connection
/-! ### Union and intersection over an indexed family of sets -/
instance : order_top (set α) :=
{ top := univ,
le_top := by simp }
@[congr] theorem Union_congr_Prop {p q : Prop} {f₁ : p → set α} {f₂ : q → set α}
(pq : p ↔ q) (f : ∀x, f₁ (pq.mpr x) = f₂ x) : Union f₁ = Union f₂ :=
supr_congr_Prop pq f
@[congr] theorem Inter_congr_Prop {p q : Prop} {f₁ : p → set α} {f₂ : q → set α}
(pq : p ↔ q) (f : ∀x, f₁ (pq.mpr x) = f₂ x) : Inter f₁ = Inter f₂ :=
infi_congr_Prop pq f
lemma Union_plift_up (f : plift ι → set α) : (⋃ i, f (plift.up i)) = ⋃ i, f i := supr_plift_up _
lemma Union_plift_down (f : ι → set α) : (⋃ i, f (plift.down i)) = ⋃ i, f i := supr_plift_down _
lemma Inter_plift_up (f : plift ι → set α) : (⋂ i, f (plift.up i)) = ⋂ i, f i := infi_plift_up _
lemma Inter_plift_down (f : ι → set α) : (⋂ i, f (plift.down i)) = ⋂ i, f i := infi_plift_down _
lemma Union_eq_if {p : Prop} [decidable p] (s : set α) :
(⋃ h : p, s) = if p then s else ∅ :=
supr_eq_if _
lemma Union_eq_dif {p : Prop} [decidable p] (s : p → set α) :
(⋃ (h : p), s h) = if h : p then s h else ∅ :=
supr_eq_dif _
lemma Inter_eq_if {p : Prop} [decidable p] (s : set α) :
(⋂ h : p, s) = if p then s else univ :=
infi_eq_if _
lemma Infi_eq_dif {p : Prop} [decidable p] (s : p → set α) :
(⋂ (h : p), s h) = if h : p then s h else univ :=
infi_eq_dif _
lemma exists_set_mem_of_union_eq_top {ι : Type*} (t : set ι) (s : ι → set β)
(w : (⋃ i ∈ t, s i) = ⊤) (x : β) :
∃ (i ∈ t), x ∈ s i :=
begin
have p : x ∈ ⊤ := set.mem_univ x,
simpa only [←w, set.mem_Union] using p,
end
lemma nonempty_of_union_eq_top_of_nonempty
{ι : Type*} (t : set ι) (s : ι → set α) (H : nonempty α) (w : (⋃ i ∈ t, s i) = ⊤) :
t.nonempty :=
begin
obtain ⟨x, m, -⟩ := exists_set_mem_of_union_eq_top t s w H.some,
exact ⟨x, m⟩,
end
theorem set_of_exists (p : ι → β → Prop) : {x | ∃ i, p i x} = ⋃ i, {x | p i x} :=
ext $ λ i, mem_Union.symm
theorem set_of_forall (p : ι → β → Prop) : {x | ∀ i, p i x} = ⋂ i, {x | p i x} :=
ext $ λ i, mem_Inter.symm
lemma Union_subset {s : ι → set α} {t : set α} (h : ∀ i, s i ⊆ t) : (⋃ i, s i) ⊆ t :=
@supr_le (set α) _ _ _ _ h
lemma Union₂_subset {s : Π i, κ i → set α} {t : set α} (h : ∀ i j, s i j ⊆ t) :
(⋃ i j, s i j) ⊆ t :=
Union_subset $ λ x, Union_subset (h x)
theorem subset_Inter {t : set β} {s : ι → set β} (h : ∀ i, t ⊆ s i) : t ⊆ ⋂ i, s i :=
@le_infi (set β) _ _ _ _ h
lemma subset_Inter₂ {s : set α} {t : Π i, κ i → set α} (h : ∀ i j, s ⊆ t i j) : s ⊆ ⋂ i j, t i j :=
subset_Inter $ λ x, subset_Inter $ h x
@[simp] lemma Union_subset_iff {s : ι → set α} {t : set α} : (⋃ i, s i) ⊆ t ↔ ∀ i, s i ⊆ t :=
⟨λ h i, subset.trans (le_supr s _) h, Union_subset⟩
lemma Union₂_subset_iff {s : Π i, κ i → set α} {t : set α} :
(⋃ i j, s i j) ⊆ t ↔ ∀ i j, s i j ⊆ t :=
by simp_rw Union_subset_iff
@[simp] lemma subset_Inter_iff {s : set α} {t : ι → set α} : s ⊆ (⋂ i, t i) ↔ ∀ i, s ⊆ t i :=
@le_infi_iff (set α) _ _ _ _
@[simp] lemma subset_Inter₂_iff {s : set α} {t : Π i, κ i → set α} :
s ⊆ (⋂ i j, t i j) ↔ ∀ i j, s ⊆ t i j :=
by simp_rw subset_Inter_iff
lemma subset_Union : ∀ (s : ι → set β) (i : ι), s i ⊆ ⋃ i, s i := le_supr
lemma Inter_subset : ∀ (s : ι → set β) (i : ι), (⋂ i, s i) ⊆ s i := infi_le
lemma subset_Union₂ {s : Π i, κ i → set α} (i : ι) (j : κ i) : s i j ⊆ ⋃ i j, s i j :=
@le_supr₂ (set α) _ _ _ _ i j
lemma Inter₂_subset {s : Π i, κ i → set α} (i : ι) (j : κ i) : (⋂ i j, s i j) ⊆ s i j :=
@infi₂_le (set α) _ _ _ _ i j
/-- This rather trivial consequence of `subset_Union`is convenient with `apply`, and has `i`
explicit for this purpose. -/
lemma subset_Union_of_subset {s : set α} {t : ι → set α} (i : ι) (h : s ⊆ t i) : s ⊆ ⋃ i, t i :=
@le_supr_of_le (set α) _ _ _ _ i h
/-- This rather trivial consequence of `Inter_subset`is convenient with `apply`, and has `i`
explicit for this purpose. -/
lemma Inter_subset_of_subset {s : ι → set α} {t : set α} (i : ι) (h : s i ⊆ t) : (⋂ i, s i) ⊆ t :=
@infi_le_of_le (set α) _ _ _ _ i h
/-- This rather trivial consequence of `subset_Union₂` is convenient with `apply`, and has `i` and
`j` explicit for this purpose. -/
lemma subset_Union₂_of_subset {s : set α} {t : Π i, κ i → set α} (i : ι) (j : κ i) (h : s ⊆ t i j) :
s ⊆ ⋃ i j, t i j :=
@le_supr₂_of_le (set α) _ _ _ _ _ i j h
/-- This rather trivial consequence of `Inter₂_subset` is convenient with `apply`, and has `i` and
`j` explicit for this purpose. -/
lemma Inter₂_subset_of_subset {s : Π i, κ i → set α} {t : set α} (i : ι) (j : κ i) (h : s i j ⊆ t) :
(⋂ i j, s i j) ⊆ t :=
@infi₂_le_of_le (set α) _ _ _ _ _ i j h
lemma Union_mono {s t : ι → set α} (h : ∀ i, s i ⊆ t i) : (⋃ i, s i) ⊆ ⋃ i, t i :=
@supr_mono (set α) _ _ s t h
lemma Union₂_mono {s t : Π i, κ i → set α} (h : ∀ i j, s i j ⊆ t i j) :
(⋃ i j, s i j) ⊆ ⋃ i j, t i j :=
@supr₂_mono (set α) _ _ _ s t h
lemma Inter_mono {s t : ι → set α} (h : ∀ i, s i ⊆ t i) : (⋂ i, s i) ⊆ ⋂ i, t i :=
@infi_mono (set α) _ _ s t h
lemma Inter₂_mono {s t : Π i, κ i → set α} (h : ∀ i j, s i j ⊆ t i j) :
(⋂ i j, s i j) ⊆ ⋂ i j, t i j :=
@infi₂_mono (set α) _ _ _ s t h
lemma Union_mono' {s : ι → set α} {t : ι₂ → set α} (h : ∀ i, ∃ j, s i ⊆ t j) :
(⋃ i, s i) ⊆ ⋃ i, t i :=
@supr_mono' (set α) _ _ _ s t h
lemma Union₂_mono' {s : Π i, κ i → set α} {t : Π i', κ' i' → set α}
(h : ∀ i j, ∃ i' j', s i j ⊆ t i' j') :
(⋃ i j, s i j) ⊆ ⋃ i' j', t i' j' :=
@supr₂_mono' (set α) _ _ _ _ _ s t h
lemma Inter_mono' {s : ι → set α} {t : ι' → set α} (h : ∀ j, ∃ i, s i ⊆ t j) :
(⋂ i, s i) ⊆ (⋂ j, t j) :=
set.subset_Inter $ λ j, let ⟨i, hi⟩ := h j in Inter_subset_of_subset i hi
lemma Inter₂_mono' {s : Π i, κ i → set α} {t : Π i', κ' i' → set α}
(h : ∀ i' j', ∃ i j, s i j ⊆ t i' j') :
(⋂ i j, s i j) ⊆ ⋂ i' j', t i' j' :=
subset_Inter₂_iff.2 $ λ i' j', let ⟨i, j, hst⟩ := h i' j' in (Inter₂_subset _ _).trans hst
lemma Union₂_subset_Union (κ : ι → Sort*) (s : ι → set α) : (⋃ i (j : κ i), s i) ⊆ ⋃ i, s i :=
Union_mono $ λ i, Union_subset $ λ h, subset.rfl
lemma Inter_subset_Inter₂ (κ : ι → Sort*) (s : ι → set α) : (⋂ i, s i) ⊆ ⋂ i (j : κ i), s i :=
Inter_mono $ λ i, subset_Inter $ λ h, subset.rfl
lemma Union_set_of (P : ι → α → Prop) : (⋃ i, {x : α | P i x}) = {x : α | ∃ i, P i x} :=
by { ext, exact mem_Union }
lemma Inter_set_of (P : ι → α → Prop) : (⋂ i, {x : α | P i x}) = {x : α | ∀ i, P i x} :=
by { ext, exact mem_Inter }
lemma Union_congr_of_surjective {f : ι → set α} {g : ι₂ → set α} (h : ι → ι₂)
(h1 : surjective h) (h2 : ∀ x, g (h x) = f x) : (⋃ x, f x) = ⋃ y, g y :=
h1.supr_congr h h2
lemma Inter_congr_of_surjective {f : ι → set α} {g : ι₂ → set α} (h : ι → ι₂)
(h1 : surjective h) (h2 : ∀ x, g (h x) = f x) : (⋂ x, f x) = ⋂ y, g y :=
h1.infi_congr h h2
lemma Union_congr {s t : ι → set α} (h : ∀ i, s i = t i) : (⋃ i, s i) = ⋃ i, t i := supr_congr h
lemma Inter_congr {s t : ι → set α} (h : ∀ i, s i = t i) : (⋂ i, s i) = ⋂ i, t i := infi_congr h
lemma Union₂_congr {s t : Π i, κ i → set α} (h : ∀ i j, s i j = t i j) :
(⋃ i j, s i j) = ⋃ i j, t i j :=
Union_congr $ λ i, Union_congr $ h i
lemma Inter₂_congr {s t : Π i, κ i → set α} (h : ∀ i j, s i j = t i j) :
(⋂ i j, s i j) = ⋂ i j, t i j :=
Inter_congr $ λ i, Inter_congr $ h i
section nonempty
variables [nonempty ι] {f : ι → set α} {s : set α}
lemma Union_const (s : set β) : (⋃ i : ι, s) = s := supr_const
lemma Inter_const (s : set β) : (⋂ i : ι, s) = s := infi_const
lemma Union_eq_const (hf : ∀ i, f i = s) : (⋃ i, f i) = s := (Union_congr hf).trans $ Union_const _
lemma Inter_eq_const (hf : ∀ i, f i = s) : (⋂ i, f i) = s := (Inter_congr hf).trans $ Inter_const _
end nonempty
@[simp] theorem compl_Union (s : ι → set β) : (⋃ i, s i)ᶜ = (⋂ i, (s i)ᶜ) :=
compl_supr
lemma compl_Union₂ (s : Π i, κ i → set α) : (⋃ i j, s i j)ᶜ = ⋂ i j, (s i j)ᶜ :=
by simp_rw compl_Union
@[simp] theorem compl_Inter (s : ι → set β) : (⋂ i, s i)ᶜ = (⋃ i, (s i)ᶜ) :=
compl_infi
lemma compl_Inter₂ (s : Π i, κ i → set α) : (⋂ i j, s i j)ᶜ = ⋃ i j, (s i j)ᶜ :=
by simp_rw compl_Inter
-- classical -- complete_boolean_algebra
theorem Union_eq_compl_Inter_compl (s : ι → set β) : (⋃ i, s i) = (⋂ i, (s i)ᶜ)ᶜ :=
by simp only [compl_Inter, compl_compl]
-- classical -- complete_boolean_algebra
theorem Inter_eq_compl_Union_compl (s : ι → set β) : (⋂ i, s i) = (⋃ i, (s i)ᶜ)ᶜ :=
by simp only [compl_Union, compl_compl]
theorem inter_Union (s : set β) (t : ι → set β) :
s ∩ (⋃ i, t i) = ⋃ i, s ∩ t i :=
inf_supr_eq _ _
theorem Union_inter (s : set β) (t : ι → set β) :
(⋃ i, t i) ∩ s = ⋃ i, t i ∩ s :=
supr_inf_eq _ _
theorem Union_union_distrib (s : ι → set β) (t : ι → set β) :
(⋃ i, s i ∪ t i) = (⋃ i, s i) ∪ (⋃ i, t i) :=
supr_sup_eq
theorem Inter_inter_distrib (s : ι → set β) (t : ι → set β) :
(⋂ i, s i ∩ t i) = (⋂ i, s i) ∩ (⋂ i, t i) :=
infi_inf_eq
theorem union_Union [nonempty ι] (s : set β) (t : ι → set β) :
s ∪ (⋃ i, t i) = ⋃ i, s ∪ t i :=
sup_supr
theorem Union_union [nonempty ι] (s : set β) (t : ι → set β) :
(⋃ i, t i) ∪ s = ⋃ i, t i ∪ s :=
supr_sup
theorem inter_Inter [nonempty ι] (s : set β) (t : ι → set β) :
s ∩ (⋂ i, t i) = ⋂ i, s ∩ t i :=
inf_infi
theorem Inter_inter [nonempty ι] (s : set β) (t : ι → set β) :
(⋂ i, t i) ∩ s = ⋂ i, t i ∩ s :=
infi_inf
-- classical
theorem union_Inter (s : set β) (t : ι → set β) :
s ∪ (⋂ i, t i) = ⋂ i, s ∪ t i :=
sup_infi_eq _ _
theorem Inter_union (s : ι → set β) (t : set β) :
(⋂ i, s i) ∪ t = ⋂ i, s i ∪ t :=
infi_sup_eq _ _
theorem Union_diff (s : set β) (t : ι → set β) :
(⋃ i, t i) \ s = ⋃ i, t i \ s :=
Union_inter _ _
theorem diff_Union [nonempty ι] (s : set β) (t : ι → set β) :
s \ (⋃ i, t i) = ⋂ i, s \ t i :=
by rw [diff_eq, compl_Union, inter_Inter]; refl
theorem diff_Inter (s : set β) (t : ι → set β) :
s \ (⋂ i, t i) = ⋃ i, s \ t i :=
by rw [diff_eq, compl_Inter, inter_Union]; refl
lemma directed_on_Union {r} {f : ι → set α} (hd : directed (⊆) f)
(h : ∀ x, directed_on r (f x)) : directed_on r (⋃ x, f x) :=
by simp only [directed_on, exists_prop, mem_Union, exists_imp_distrib]; exact
λ a₁ b₁ fb₁ a₂ b₂ fb₂,
let ⟨z, zb₁, zb₂⟩ := hd b₁ b₂,
⟨x, xf, xa₁, xa₂⟩ := h z a₁ (zb₁ fb₁) a₂ (zb₂ fb₂) in
⟨x, ⟨z, xf⟩, xa₁, xa₂⟩
lemma Union_inter_subset {ι α} {s t : ι → set α} : (⋃ i, s i ∩ t i) ⊆ (⋃ i, s i) ∩ (⋃ i, t i) :=
le_supr_inf_supr s t
lemma Union_inter_of_monotone {ι α} [preorder ι] [is_directed ι (≤)] {s t : ι → set α}
(hs : monotone s) (ht : monotone t) : (⋃ i, s i ∩ t i) = (⋃ i, s i) ∩ (⋃ i, t i) :=
supr_inf_of_monotone hs ht
lemma Union_inter_of_antitone {ι α} [preorder ι] [is_directed ι (swap (≤))] {s t : ι → set α}
(hs : antitone s) (ht : antitone t) : (⋃ i, s i ∩ t i) = (⋃ i, s i) ∩ (⋃ i, t i) :=
supr_inf_of_antitone hs ht
lemma Inter_union_of_monotone {ι α} [preorder ι] [is_directed ι (swap (≤))] {s t : ι → set α}
(hs : monotone s) (ht : monotone t) : (⋂ i, s i ∪ t i) = (⋂ i, s i) ∪ (⋂ i, t i) :=
infi_sup_of_monotone hs ht
lemma Inter_union_of_antitone {ι α} [preorder ι] [is_directed ι (≤)] {s t : ι → set α}
(hs : antitone s) (ht : antitone t) : (⋂ i, s i ∪ t i) = (⋂ i, s i) ∪ (⋂ i, t i) :=
infi_sup_of_antitone hs ht
/-- An equality version of this lemma is `Union_Inter_of_monotone` in `data.set.finite`. -/
lemma Union_Inter_subset {s : ι → ι' → set α} : (⋃ j, ⋂ i, s i j) ⊆ ⋂ i, ⋃ j, s i j :=
supr_infi_le_infi_supr (flip s)
lemma Union_option {ι} (s : option ι → set α) : (⋃ o, s o) = s none ∪ ⋃ i, s (some i) :=
supr_option s
lemma Inter_option {ι} (s : option ι → set α) : (⋂ o, s o) = s none ∩ ⋂ i, s (some i) :=
infi_option s
section
variables (p : ι → Prop) [decidable_pred p]
lemma Union_dite (f : Π i, p i → set α) (g : Π i, ¬p i → set α) :
(⋃ i, if h : p i then f i h else g i h) = (⋃ i (h : p i), f i h) ∪ (⋃ i (h : ¬ p i), g i h) :=
supr_dite _ _ _
lemma Union_ite (f g : ι → set α) :
(⋃ i, if p i then f i else g i) = (⋃ i (h : p i), f i) ∪ (⋃ i (h : ¬ p i), g i) :=
Union_dite _ _ _
lemma Inter_dite (f : Π i, p i → set α) (g : Π i, ¬p i → set α) :
(⋂ i, if h : p i then f i h else g i h) = (⋂ i (h : p i), f i h) ∩ (⋂ i (h : ¬ p i), g i h) :=
infi_dite _ _ _
lemma Inter_ite (f g : ι → set α) :
(⋂ i, if p i then f i else g i) = (⋂ i (h : p i), f i) ∩ (⋂ i (h : ¬ p i), g i) :=
Inter_dite _ _ _
end
lemma image_projection_prod {ι : Type*} {α : ι → Type*} {v : Π (i : ι), set (α i)}
(hv : (pi univ v).nonempty) (i : ι) :
(λ (x : Π (i : ι), α i), x i) '' (⋂ k, (λ (x : Π (j : ι), α j), x k) ⁻¹' v k) = v i:=
begin
classical,
apply subset.antisymm,
{ simp [Inter_subset] },
{ intros y y_in,
simp only [mem_image, mem_Inter, mem_preimage],
rcases hv with ⟨z, hz⟩,
refine ⟨function.update z i y, _, update_same i y z⟩,
rw @forall_update_iff ι α _ z i y (λ i t, t ∈ v i),
exact ⟨y_in, λ j hj, by simpa using hz j⟩ },
end
/-! ### Unions and intersections indexed by `Prop` -/
theorem Inter_false {s : false → set α} : Inter s = univ := infi_false
theorem Union_false {s : false → set α} : Union s = ∅ := supr_false
@[simp] theorem Inter_true {s : true → set α} : Inter s = s trivial := infi_true
@[simp] theorem Union_true {s : true → set α} : Union s = s trivial := supr_true
@[simp] theorem Inter_exists {p : ι → Prop} {f : Exists p → set α} :
(⋂ x, f x) = (⋂ i (h : p i), f ⟨i, h⟩) :=
infi_exists
@[simp] theorem Union_exists {p : ι → Prop} {f : Exists p → set α} :
(⋃ x, f x) = (⋃ i (h : p i), f ⟨i, h⟩) :=
supr_exists
@[simp] lemma Union_empty : (⋃ i : ι, ∅ : set α) = ∅ := supr_bot
@[simp] lemma Inter_univ : (⋂ i : ι, univ : set α) = univ := infi_top
section
variables {s : ι → set α}
@[simp] lemma Union_eq_empty : (⋃ i, s i) = ∅ ↔ ∀ i, s i = ∅ := supr_eq_bot
@[simp] lemma Inter_eq_univ : (⋂ i, s i) = univ ↔ ∀ i, s i = univ := infi_eq_top
@[simp] lemma nonempty_Union : (⋃ i, s i).nonempty ↔ ∃ i, (s i).nonempty :=
by simp [nonempty_iff_ne_empty]
@[simp] lemma nonempty_bUnion {t : set α} {s : α → set β} :
(⋃ i ∈ t, s i).nonempty ↔ ∃ i ∈ t, (s i).nonempty :=
by simp [nonempty_iff_ne_empty]
lemma Union_nonempty_index (s : set α) (t : s.nonempty → set β) :
(⋃ h, t h) = ⋃ x ∈ s, t ⟨x, ‹_›⟩ :=
supr_exists
end
@[simp] theorem Inter_Inter_eq_left {b : β} {s : Π x : β, x = b → set α} :
(⋂ x (h : x = b), s x h) = s b rfl :=
infi_infi_eq_left
@[simp] theorem Inter_Inter_eq_right {b : β} {s : Π x : β, b = x → set α} :
(⋂ x (h : b = x), s x h) = s b rfl :=
infi_infi_eq_right
@[simp] theorem Union_Union_eq_left {b : β} {s : Π x : β, x = b → set α} :
(⋃ x (h : x = b), s x h) = s b rfl :=
supr_supr_eq_left
@[simp] theorem Union_Union_eq_right {b : β} {s : Π x : β, b = x → set α} :
(⋃ x (h : b = x), s x h) = s b rfl :=
supr_supr_eq_right
theorem Inter_or {p q : Prop} (s : p ∨ q → set α) :
(⋂ h, s h) = (⋂ h : p, s (or.inl h)) ∩ (⋂ h : q, s (or.inr h)) :=
infi_or
theorem Union_or {p q : Prop} (s : p ∨ q → set α) :
(⋃ h, s h) = (⋃ i, s (or.inl i)) ∪ (⋃ j, s (or.inr j)) :=
supr_or
theorem Union_and {p q : Prop} (s : p ∧ q → set α) :
(⋃ h, s h) = ⋃ hp hq, s ⟨hp, hq⟩ :=
supr_and
theorem Inter_and {p q : Prop} (s : p ∧ q → set α) :
(⋂ h, s h) = ⋂ hp hq, s ⟨hp, hq⟩ :=
infi_and
lemma Union_comm (s : ι → ι' → set α) : (⋃ i i', s i i') = ⋃ i' i, s i i' := supr_comm
lemma Inter_comm (s : ι → ι' → set α) : (⋂ i i', s i i') = ⋂ i' i, s i i' := infi_comm
lemma Union₂_comm (s : Π i₁, κ₁ i₁ → Π i₂, κ₂ i₂ → set α) :
(⋃ i₁ j₁ i₂ j₂, s i₁ j₁ i₂ j₂) = ⋃ i₂ j₂ i₁ j₁, s i₁ j₁ i₂ j₂ :=
supr₂_comm _
lemma Inter₂_comm (s : Π i₁, κ₁ i₁ → Π i₂, κ₂ i₂ → set α) :
(⋂ i₁ j₁ i₂ j₂, s i₁ j₁ i₂ j₂) = ⋂ i₂ j₂ i₁ j₁, s i₁ j₁ i₂ j₂ :=
infi₂_comm _
@[simp] theorem bUnion_and (p : ι → Prop) (q : ι → ι' → Prop) (s : Π x y, p x ∧ q x y → set α) :
(⋃ (x : ι) (y : ι') (h : p x ∧ q x y), s x y h) =
⋃ (x : ι) (hx : p x) (y : ι') (hy : q x y), s x y ⟨hx, hy⟩ :=
by simp only [Union_and, @Union_comm _ ι']
@[simp] theorem bUnion_and' (p : ι' → Prop) (q : ι → ι' → Prop) (s : Π x y, p y ∧ q x y → set α) :
(⋃ (x : ι) (y : ι') (h : p y ∧ q x y), s x y h) =
⋃ (y : ι') (hy : p y) (x : ι) (hx : q x y), s x y ⟨hy, hx⟩ :=
by simp only [Union_and, @Union_comm _ ι]
@[simp] theorem bInter_and (p : ι → Prop) (q : ι → ι' → Prop) (s : Π x y, p x ∧ q x y → set α) :
(⋂ (x : ι) (y : ι') (h : p x ∧ q x y), s x y h) =
⋂ (x : ι) (hx : p x) (y : ι') (hy : q x y), s x y ⟨hx, hy⟩ :=
by simp only [Inter_and, @Inter_comm _ ι']
@[simp] theorem bInter_and' (p : ι' → Prop) (q : ι → ι' → Prop) (s : Π x y, p y ∧ q x y → set α) :
(⋂ (x : ι) (y : ι') (h : p y ∧ q x y), s x y h) =
⋂ (y : ι') (hy : p y) (x : ι) (hx : q x y), s x y ⟨hy, hx⟩ :=
by simp only [Inter_and, @Inter_comm _ ι]
@[simp] theorem Union_Union_eq_or_left {b : β} {p : β → Prop} {s : Π x : β, (x = b ∨ p x) → set α} :
(⋃ x h, s x h) = s b (or.inl rfl) ∪ ⋃ x (h : p x), s x (or.inr h) :=
by simp only [Union_or, Union_union_distrib, Union_Union_eq_left]
@[simp] theorem Inter_Inter_eq_or_left {b : β} {p : β → Prop} {s : Π x : β, (x = b ∨ p x) → set α} :
(⋂ x h, s x h) = s b (or.inl rfl) ∩ ⋂ x (h : p x), s x (or.inr h) :=
by simp only [Inter_or, Inter_inter_distrib, Inter_Inter_eq_left]
/-! ### Bounded unions and intersections -/
/-- A specialization of `mem_Union₂`. -/
theorem mem_bUnion {s : set α} {t : α → set β} {x : α} {y : β} (xs : x ∈ s) (ytx : y ∈ t x) :
y ∈ ⋃ x ∈ s, t x :=
mem_Union₂_of_mem xs ytx
/-- A specialization of `mem_Inter₂`. -/
theorem mem_bInter {s : set α} {t : α → set β} {y : β} (h : ∀ x ∈ s, y ∈ t x) :
y ∈ ⋂ x ∈ s, t x :=
mem_Inter₂_of_mem h
/-- A specialization of `subset_Union₂`. -/
theorem subset_bUnion_of_mem {s : set α} {u : α → set β} {x : α} (xs : x ∈ s) :
u x ⊆ (⋃ x ∈ s, u x) :=
subset_Union₂ x xs
/-- A specialization of `Inter₂_subset`. -/
theorem bInter_subset_of_mem {s : set α} {t : α → set β} {x : α} (xs : x ∈ s) :
(⋂ x ∈ s, t x) ⊆ t x :=
Inter₂_subset x xs
theorem bUnion_subset_bUnion_left {s s' : set α} {t : α → set β}
(h : s ⊆ s') : (⋃ x ∈ s, t x) ⊆ (⋃ x ∈ s', t x) :=
Union₂_subset $ λ x hx, subset_bUnion_of_mem $ h hx
theorem bInter_subset_bInter_left {s s' : set α} {t : α → set β}
(h : s' ⊆ s) : (⋂ x ∈ s, t x) ⊆ (⋂ x ∈ s', t x) :=
subset_Inter₂ $ λ x hx, bInter_subset_of_mem $ h hx
lemma bUnion_mono {s s' : set α} {t t' : α → set β} (hs : s' ⊆ s) (h : ∀ x ∈ s, t x ⊆ t' x) :
(⋃ x ∈ s', t x) ⊆ ⋃ x ∈ s, t' x :=
(bUnion_subset_bUnion_left hs).trans $ Union₂_mono h
lemma bInter_mono {s s' : set α} {t t' : α → set β} (hs : s ⊆ s') (h : ∀ x ∈ s, t x ⊆ t' x) :
(⋂ x ∈ s', t x) ⊆ (⋂ x ∈ s, t' x) :=
(bInter_subset_bInter_left hs).trans $ Inter₂_mono h
theorem bUnion_eq_Union (s : set α) (t : Π x ∈ s, set β) :
(⋃ x ∈ s, t x ‹_›) = (⋃ x : s, t x x.2) :=
supr_subtype'
theorem bInter_eq_Inter (s : set α) (t : Π x ∈ s, set β) :
(⋂ x ∈ s, t x ‹_›) = (⋂ x : s, t x x.2) :=
infi_subtype'
theorem Union_subtype (p : α → Prop) (s : {x // p x} → set β) :
(⋃ x : {x // p x}, s x) = ⋃ x (hx : p x), s ⟨x, hx⟩ :=
supr_subtype
theorem Inter_subtype (p : α → Prop) (s : {x // p x} → set β) :
(⋂ x : {x // p x}, s x) = ⋂ x (hx : p x), s ⟨x, hx⟩ :=
infi_subtype
theorem bInter_empty (u : α → set β) : (⋂ x ∈ (∅ : set α), u x) = univ :=
infi_emptyset
theorem bInter_univ (u : α → set β) : (⋂ x ∈ @univ α, u x) = ⋂ x, u x :=
infi_univ
@[simp] lemma bUnion_self (s : set α) : (⋃ x ∈ s, s) = s :=
subset.antisymm (Union₂_subset $ λ x hx, subset.refl s) (λ x hx, mem_bUnion hx hx)
@[simp] lemma Union_nonempty_self (s : set α) : (⋃ h : s.nonempty, s) = s :=
by rw [Union_nonempty_index, bUnion_self]
-- TODO(Jeremy): here is an artifact of the encoding of bounded intersection:
-- without dsimp, the next theorem fails to type check, because there is a lambda
-- in a type that needs to be contracted. Using simp [eq_of_mem_singleton xa] also works.
theorem bInter_singleton (a : α) (s : α → set β) : (⋂ x ∈ ({a} : set α), s x) = s a :=
infi_singleton
theorem bInter_union (s t : set α) (u : α → set β) :
(⋂ x ∈ s ∪ t, u x) = (⋂ x ∈ s, u x) ∩ (⋂ x ∈ t, u x) :=
infi_union
theorem bInter_insert (a : α) (s : set α) (t : α → set β) :
(⋂ x ∈ insert a s, t x) = t a ∩ (⋂ x ∈ s, t x) :=
by simp
-- TODO(Jeremy): another example of where an annotation is needed
theorem bInter_pair (a b : α) (s : α → set β) :
(⋂ x ∈ ({a, b} : set α), s x) = s a ∩ s b :=
by rw [bInter_insert, bInter_singleton]
lemma bInter_inter {ι α : Type*} {s : set ι} (hs : s.nonempty) (f : ι → set α) (t : set α) :
(⋂ i ∈ s, f i ∩ t) = (⋂ i ∈ s, f i) ∩ t :=
begin
haveI : nonempty s := hs.to_subtype,
simp [bInter_eq_Inter, ← Inter_inter]
end
lemma inter_bInter {ι α : Type*} {s : set ι} (hs : s.nonempty) (f : ι → set α) (t : set α) :
(⋂ i ∈ s, t ∩ f i) = t ∩ ⋂ i ∈ s, f i :=
begin
rw [inter_comm, ← bInter_inter hs],
simp [inter_comm]
end
theorem bUnion_empty (s : α → set β) : (⋃ x ∈ (∅ : set α), s x) = ∅ :=
supr_emptyset
theorem bUnion_univ (s : α → set β) : (⋃ x ∈ @univ α, s x) = ⋃ x, s x :=
supr_univ
theorem bUnion_singleton (a : α) (s : α → set β) : (⋃ x ∈ ({a} : set α), s x) = s a :=
supr_singleton
@[simp] theorem bUnion_of_singleton (s : set α) : (⋃ x ∈ s, {x}) = s :=
ext $ by simp
theorem bUnion_union (s t : set α) (u : α → set β) :
(⋃ x ∈ s ∪ t, u x) = (⋃ x ∈ s, u x) ∪ (⋃ x ∈ t, u x) :=
supr_union
@[simp] lemma Union_coe_set {α β : Type*} (s : set α) (f : s → set β) :
(⋃ i, f i) = ⋃ i ∈ s, f ⟨i, ‹i ∈ s›⟩ :=
Union_subtype _ _
@[simp] lemma Inter_coe_set {α β : Type*} (s : set α) (f : s → set β) :
(⋂ i, f i) = ⋂ i ∈ s, f ⟨i, ‹i ∈ s›⟩ :=
Inter_subtype _ _
theorem bUnion_insert (a : α) (s : set α) (t : α → set β) :
(⋃ x ∈ insert a s, t x) = t a ∪ (⋃ x ∈ s, t x) :=
by simp
theorem bUnion_pair (a b : α) (s : α → set β) :
(⋃ x ∈ ({a, b} : set α), s x) = s a ∪ s b :=
by simp
lemma inter_Union₂ (s : set α) (t : Π i, κ i → set α) : s ∩ (⋃ i j, t i j) = ⋃ i j, s ∩ t i j :=
by simp only [inter_Union]
lemma Union₂_inter (s : Π i, κ i → set α) (t : set α) : (⋃ i j, s i j) ∩ t = ⋃ i j, s i j ∩ t :=
by simp_rw Union_inter
lemma union_Inter₂ (s : set α) (t : Π i, κ i → set α) : s ∪ (⋂ i j, t i j) = ⋂ i j, s ∪ t i j :=
by simp_rw union_Inter
lemma Inter₂_union (s : Π i, κ i → set α) (t : set α) : (⋂ i j, s i j) ∪ t = ⋂ i j, s i j ∪ t :=
by simp_rw Inter_union
theorem mem_sUnion_of_mem {x : α} {t : set α} {S : set (set α)} (hx : x ∈ t) (ht : t ∈ S) :
x ∈ ⋃₀ S :=
⟨t, ht, hx⟩
-- is this theorem really necessary?
theorem not_mem_of_not_mem_sUnion {x : α} {t : set α} {S : set (set α)}
(hx : x ∉ ⋃₀ S) (ht : t ∈ S) : x ∉ t :=
λ h, hx ⟨t, ht, h⟩
theorem sInter_subset_of_mem {S : set (set α)} {t : set α} (tS : t ∈ S) : ⋂₀ S ⊆ t :=
Inf_le tS
theorem subset_sUnion_of_mem {S : set (set α)} {t : set α} (tS : t ∈ S) : t ⊆ ⋃₀ S :=
le_Sup tS
lemma subset_sUnion_of_subset {s : set α} (t : set (set α)) (u : set α) (h₁ : s ⊆ u)
(h₂ : u ∈ t) : s ⊆ ⋃₀ t :=
subset.trans h₁ (subset_sUnion_of_mem h₂)
theorem sUnion_subset {S : set (set α)} {t : set α} (h : ∀ t' ∈ S, t' ⊆ t) : (⋃₀ S) ⊆ t :=
Sup_le h
@[simp] theorem sUnion_subset_iff {s : set (set α)} {t : set α} : ⋃₀ s ⊆ t ↔ ∀ t' ∈ s, t' ⊆ t :=
@Sup_le_iff (set α) _ _ _
theorem subset_sInter {S : set (set α)} {t : set α} (h : ∀ t' ∈ S, t ⊆ t') : t ⊆ (⋂₀ S) :=
le_Inf h
@[simp] theorem subset_sInter_iff {S : set (set α)} {t : set α} : t ⊆ (⋂₀ S) ↔ ∀ t' ∈ S, t ⊆ t' :=
@le_Inf_iff (set α) _ _ _
theorem sUnion_subset_sUnion {S T : set (set α)} (h : S ⊆ T) : ⋃₀ S ⊆ ⋃₀ T :=
sUnion_subset $ λ s hs, subset_sUnion_of_mem (h hs)
theorem sInter_subset_sInter {S T : set (set α)} (h : S ⊆ T) : ⋂₀ T ⊆ ⋂₀ S :=
subset_sInter $ λ s hs, sInter_subset_of_mem (h hs)
@[simp] theorem sUnion_empty : ⋃₀ ∅ = (∅ : set α) := Sup_empty
@[simp] theorem sInter_empty : ⋂₀ ∅ = (univ : set α) := Inf_empty
@[simp] theorem sUnion_singleton (s : set α) : ⋃₀ {s} = s := Sup_singleton
@[simp] theorem sInter_singleton (s : set α) : ⋂₀ {s} = s := Inf_singleton
@[simp] theorem sUnion_eq_empty {S : set (set α)} : (⋃₀ S) = ∅ ↔ ∀ s ∈ S, s = ∅ := Sup_eq_bot
@[simp] theorem sInter_eq_univ {S : set (set α)} : (⋂₀ S) = univ ↔ ∀ s ∈ S, s = univ := Inf_eq_top
@[simp] theorem nonempty_sUnion {S : set (set α)} : (⋃₀ S).nonempty ↔ ∃ s ∈ S, set.nonempty s :=
by simp [nonempty_iff_ne_empty]
lemma nonempty.of_sUnion {s : set (set α)} (h : (⋃₀ s).nonempty) : s.nonempty :=
let ⟨s, hs, _⟩ := nonempty_sUnion.1 h in ⟨s, hs⟩
lemma nonempty.of_sUnion_eq_univ [nonempty α] {s : set (set α)} (h : ⋃₀ s = univ) : s.nonempty :=
nonempty.of_sUnion $ h.symm ▸ univ_nonempty
theorem sUnion_union (S T : set (set α)) : ⋃₀ (S ∪ T) = ⋃₀ S ∪ ⋃₀ T := Sup_union
theorem sInter_union (S T : set (set α)) : ⋂₀ (S ∪ T) = ⋂₀ S ∩ ⋂₀ T := Inf_union
@[simp] theorem sUnion_insert (s : set α) (T : set (set α)) : ⋃₀ (insert s T) = s ∪ ⋃₀ T :=
Sup_insert
@[simp] theorem sInter_insert (s : set α) (T : set (set α)) : ⋂₀ (insert s T) = s ∩ ⋂₀ T :=
Inf_insert
@[simp] lemma sUnion_diff_singleton_empty (s : set (set α)) : ⋃₀ (s \ {∅}) = ⋃₀ s :=
Sup_diff_singleton_bot s
@[simp] lemma sInter_diff_singleton_univ (s : set (set α)) : ⋂₀ (s \ {univ}) = ⋂₀ s :=
Inf_diff_singleton_top s
theorem sUnion_pair (s t : set α) : ⋃₀ {s, t} = s ∪ t :=
Sup_pair
theorem sInter_pair (s t : set α) : ⋂₀ {s, t} = s ∩ t :=
Inf_pair
@[simp] theorem sUnion_image (f : α → set β) (s : set α) : ⋃₀ (f '' s) = ⋃ x ∈ s, f x := Sup_image
@[simp] theorem sInter_image (f : α → set β) (s : set α) : ⋂₀ (f '' s) = ⋂ x ∈ s, f x := Inf_image
@[simp] theorem sUnion_range (f : ι → set β) : ⋃₀ (range f) = ⋃ x, f x := rfl
@[simp] theorem sInter_range (f : ι → set β) : ⋂₀ (range f) = ⋂ x, f x := rfl
lemma Union_eq_univ_iff {f : ι → set α} : (⋃ i, f i) = univ ↔ ∀ x, ∃ i, x ∈ f i :=
by simp only [eq_univ_iff_forall, mem_Union]
lemma Union₂_eq_univ_iff {s : Π i, κ i → set α} : (⋃ i j, s i j) = univ ↔ ∀ a, ∃ i j, a ∈ s i j :=
by simp only [Union_eq_univ_iff, mem_Union]
lemma sUnion_eq_univ_iff {c : set (set α)} :
⋃₀ c = univ ↔ ∀ a, ∃ b ∈ c, a ∈ b :=
by simp only [eq_univ_iff_forall, mem_sUnion]
-- classical
lemma Inter_eq_empty_iff {f : ι → set α} : (⋂ i, f i) = ∅ ↔ ∀ x, ∃ i, x ∉ f i :=
by simp [set.eq_empty_iff_forall_not_mem]
-- classical
lemma Inter₂_eq_empty_iff {s : Π i, κ i → set α} : (⋂ i j, s i j) = ∅ ↔ ∀ a, ∃ i j, a ∉ s i j :=
by simp only [eq_empty_iff_forall_not_mem, mem_Inter, not_forall]
-- classical
lemma sInter_eq_empty_iff {c : set (set α)} :
⋂₀ c = ∅ ↔ ∀ a, ∃ b ∈ c, a ∉ b :=
by simp [set.eq_empty_iff_forall_not_mem]
-- classical
@[simp] theorem nonempty_Inter {f : ι → set α} : (⋂ i, f i).nonempty ↔ ∃ x, ∀ i, x ∈ f i :=
by simp [nonempty_iff_ne_empty, Inter_eq_empty_iff]
-- classical
@[simp] lemma nonempty_Inter₂ {s : Π i, κ i → set α} :
(⋂ i j, s i j).nonempty ↔ ∃ a, ∀ i j, a ∈ s i j :=
by simp [nonempty_iff_ne_empty, Inter_eq_empty_iff]
-- classical
@[simp] theorem nonempty_sInter {c : set (set α)}:
(⋂₀ c).nonempty ↔ ∃ a, ∀ b ∈ c, a ∈ b :=
by simp [nonempty_iff_ne_empty, sInter_eq_empty_iff]
-- classical
theorem compl_sUnion (S : set (set α)) :
(⋃₀ S)ᶜ = ⋂₀ (compl '' S) :=
ext $ λ x, by simp
-- classical
theorem sUnion_eq_compl_sInter_compl (S : set (set α)) :
⋃₀ S = (⋂₀ (compl '' S))ᶜ :=
by rw [←compl_compl (⋃₀ S), compl_sUnion]
-- classical
theorem compl_sInter (S : set (set α)) :
(⋂₀ S)ᶜ = ⋃₀ (compl '' S) :=
by rw [sUnion_eq_compl_sInter_compl, compl_compl_image]
-- classical
theorem sInter_eq_compl_sUnion_compl (S : set (set α)) :
⋂₀ S = (⋃₀ (compl '' S))ᶜ :=
by rw [←compl_compl (⋂₀ S), compl_sInter]
theorem inter_empty_of_inter_sUnion_empty {s t : set α} {S : set (set α)} (hs : t ∈ S)
(h : s ∩ ⋃₀ S = ∅) :
s ∩ t = ∅ :=
eq_empty_of_subset_empty $ by rw ← h; exact
inter_subset_inter_right _ (subset_sUnion_of_mem hs)
theorem range_sigma_eq_Union_range {γ : α → Type*} (f : sigma γ → β) :
range f = ⋃ a, range (λ b, f ⟨a, b⟩) :=
set.ext $ by simp
theorem Union_eq_range_sigma (s : α → set β) : (⋃ i, s i) = range (λ a : Σ i, s i, a.2) :=
by simp [set.ext_iff]
theorem Union_eq_range_psigma (s : ι → set β) : (⋃ i, s i) = range (λ a : Σ' i, s i, a.2) :=
by simp [set.ext_iff]
theorem Union_image_preimage_sigma_mk_eq_self {ι : Type*} {σ : ι → Type*} (s : set (sigma σ)) :
(⋃ i, sigma.mk i '' (sigma.mk i ⁻¹' s)) = s :=
begin
ext x,
simp only [mem_Union, mem_image, mem_preimage],
split,
{ rintro ⟨i, a, h, rfl⟩, exact h },
{ intro h, cases x with i a, exact ⟨i, a, h, rfl⟩ }
end
lemma sigma.univ (X : α → Type*) : (set.univ : set (Σ a, X a)) = ⋃ a, range (sigma.mk a) :=
set.ext $ λ x, iff_of_true trivial ⟨range (sigma.mk x.1), set.mem_range_self _, x.2, sigma.eta x⟩
lemma sUnion_mono {s t : set (set α)} (h : s ⊆ t) : (⋃₀ s) ⊆ (⋃₀ t) :=
sUnion_subset $ λ t' ht', subset_sUnion_of_mem $ h ht'
lemma Union_subset_Union_const {s : set α} (h : ι → ι₂) : (⋃ i : ι, s) ⊆ (⋃ j : ι₂, s) :=
@supr_const_mono (set α) ι ι₂ _ s h
@[simp] lemma Union_singleton_eq_range {α β : Type*} (f : α → β) :
(⋃ (x : α), {f x}) = range f :=
by { ext x, simp [@eq_comm _ x] }
lemma Union_of_singleton (α : Type*) : (⋃ x, {x} : set α) = univ :=
by simp
lemma Union_of_singleton_coe (s : set α) :
(⋃ (i : s), {i} : set α) = s :=
by simp
lemma sUnion_eq_bUnion {s : set (set α)} : (⋃₀ s) = (⋃ (i : set α) (h : i ∈ s), i) :=
by rw [← sUnion_image, image_id']
lemma sInter_eq_bInter {s : set (set α)} : (⋂₀ s) = (⋂ (i : set α) (h : i ∈ s), i) :=
by rw [← sInter_image, image_id']
lemma sUnion_eq_Union {s : set (set α)} : (⋃₀ s) = (⋃ (i : s), i) :=
by simp only [←sUnion_range, subtype.range_coe]
lemma sInter_eq_Inter {s : set (set α)} : (⋂₀ s) = (⋂ (i : s), i) :=
by simp only [←sInter_range, subtype.range_coe]
@[simp] lemma Union_of_empty [is_empty ι] (s : ι → set α) : (⋃ i, s i) = ∅ := supr_of_empty _
@[simp] lemma Inter_of_empty [is_empty ι] (s : ι → set α) : (⋂ i, s i) = univ := infi_of_empty _
lemma union_eq_Union {s₁ s₂ : set α} : s₁ ∪ s₂ = ⋃ b : bool, cond b s₁ s₂ :=
sup_eq_supr s₁ s₂
lemma inter_eq_Inter {s₁ s₂ : set α} : s₁ ∩ s₂ = ⋂ b : bool, cond b s₁ s₂ :=
inf_eq_infi s₁ s₂
lemma sInter_union_sInter {S T : set (set α)} :
(⋂₀ S) ∪ (⋂₀ T) = (⋂ p ∈ S ×ˢ T, (p : (set α) × (set α)).1 ∪ p.2) :=
Inf_sup_Inf
lemma sUnion_inter_sUnion {s t : set (set α)} :
(⋃₀ s) ∩ (⋃₀ t) = (⋃ p ∈ s ×ˢ t, (p : (set α) × (set α )).1 ∩ p.2) :=
Sup_inf_Sup
lemma bUnion_Union (s : ι → set α) (t : α → set β) :
(⋃ x ∈ ⋃ i, s i, t x) = ⋃ i (x ∈ s i), t x :=
by simp [@Union_comm _ ι]
lemma bInter_Union (s : ι → set α) (t : α → set β) :
(⋂ x ∈ ⋃ i, s i, t x) = ⋂ i (x ∈ s i), t x :=
by simp [@Inter_comm _ ι]
lemma sUnion_Union (s : ι → set (set α)) : ⋃₀ (⋃ i, s i) = ⋃ i, ⋃₀ (s i) :=
by simp only [sUnion_eq_bUnion, bUnion_Union]
theorem sInter_Union (s : ι → set (set α)) : ⋂₀ (⋃ i, s i) = ⋂ i, ⋂₀ s i :=
by simp only [sInter_eq_bInter, bInter_Union]
lemma Union_range_eq_sUnion {α β : Type*} (C : set (set α))
{f : ∀ (s : C), β → s} (hf : ∀ (s : C), surjective (f s)) :
(⋃ (y : β), range (λ (s : C), (f s y).val)) = ⋃₀ C :=
begin
ext x, split,
{ rintro ⟨s, ⟨y, rfl⟩, ⟨s, hs⟩, rfl⟩, refine ⟨_, hs, _⟩, exact (f ⟨s, hs⟩ y).2 },
{ rintro ⟨s, hs, hx⟩, cases hf ⟨s, hs⟩ ⟨x, hx⟩ with y hy, refine ⟨_, ⟨y, rfl⟩, ⟨s, hs⟩, _⟩,
exact congr_arg subtype.val hy }
end
lemma Union_range_eq_Union (C : ι → set α) {f : ∀ (x : ι), β → C x}
(hf : ∀ (x : ι), surjective (f x)) :
(⋃ (y : β), range (λ (x : ι), (f x y).val)) = ⋃ x, C x :=
begin
ext x, rw [mem_Union, mem_Union], split,
{ rintro ⟨y, i, rfl⟩, exact ⟨i, (f i y).2⟩ },
{ rintro ⟨i, hx⟩, cases hf i ⟨x, hx⟩ with y hy,
exact ⟨y, i, congr_arg subtype.val hy⟩ }
end
lemma union_distrib_Inter_left (s : ι → set α) (t : set α) : t ∪ (⋂ i, s i) = (⋂ i, t ∪ s i) :=
sup_infi_eq _ _
lemma union_distrib_Inter₂_left (s : set α) (t : Π i, κ i → set α) :
s ∪ (⋂ i j, t i j) = ⋂ i j, s ∪ t i j :=
by simp_rw union_distrib_Inter_left
lemma union_distrib_Inter_right (s : ι → set α) (t : set α) : (⋂ i, s i) ∪ t = (⋂ i, s i ∪ t) :=
infi_sup_eq _ _
lemma union_distrib_Inter₂_right (s : Π i, κ i → set α) (t : set α) :
(⋂ i j, s i j) ∪ t = ⋂ i j, s i j ∪ t :=
by simp_rw union_distrib_Inter_right
section function
/-! ### `maps_to` -/
lemma maps_to_sUnion {S : set (set α)} {t : set β} {f : α → β} (H : ∀ s ∈ S, maps_to f s t) :
maps_to f (⋃₀ S) t :=
λ x ⟨s, hs, hx⟩, H s hs hx
lemma maps_to_Union {s : ι → set α} {t : set β} {f : α → β} (H : ∀ i, maps_to f (s i) t) :
maps_to f (⋃ i, s i) t :=
maps_to_sUnion $ forall_range_iff.2 H
lemma maps_to_Union₂ {s : Π i, κ i → set α} {t : set β} {f : α → β}
(H : ∀ i j, maps_to f (s i j) t) :
maps_to f (⋃ i j, s i j) t :=
maps_to_Union $ λ i, maps_to_Union (H i)
lemma maps_to_Union_Union {s : ι → set α} {t : ι → set β} {f : α → β}
(H : ∀ i, maps_to f (s i) (t i)) :
maps_to f (⋃ i, s i) (⋃ i, t i) :=
maps_to_Union $ λ i, (H i).mono (subset.refl _) (subset_Union t i)
lemma maps_to_Union₂_Union₂ {s : Π i, κ i → set α} {t : Π i, κ i → set β} {f : α → β}
(H : ∀ i j, maps_to f (s i j) (t i j)) :
maps_to f (⋃ i j, s i j) (⋃ i j, t i j) :=
maps_to_Union_Union $ λ i, maps_to_Union_Union (H i)
lemma maps_to_sInter {s : set α} {T : set (set β)} {f : α → β} (H : ∀ t ∈ T, maps_to f s t) :
maps_to f s (⋂₀ T) :=
λ x hx t ht, H t ht hx
lemma maps_to_Inter {s : set α} {t : ι → set β} {f : α → β} (H : ∀ i, maps_to f s (t i)) :
maps_to f s (⋂ i, t i) :=
λ x hx, mem_Inter.2 $ λ i, H i hx
lemma maps_to_Inter₂ {s : set α} {t : Π i, κ i → set β} {f : α → β}
(H : ∀ i j, maps_to f s (t i j)) :
maps_to f s (⋂ i j, t i j) :=
maps_to_Inter $ λ i, maps_to_Inter (H i)
lemma maps_to_Inter_Inter {s : ι → set α} {t : ι → set β} {f : α → β}
(H : ∀ i, maps_to f (s i) (t i)) :
maps_to f (⋂ i, s i) (⋂ i, t i) :=
maps_to_Inter $ λ i, (H i).mono (Inter_subset s i) (subset.refl _)
lemma maps_to_Inter₂_Inter₂ {s : Π i, κ i → set α} {t : Π i, κ i → set β} {f : α → β}
(H : ∀ i j, maps_to f (s i j) (t i j)) :
maps_to f (⋂ i j, s i j) (⋂ i j, t i j) :=
maps_to_Inter_Inter $ λ i, maps_to_Inter_Inter (H i)
lemma image_Inter_subset (s : ι → set α) (f : α → β) :
f '' (⋂ i, s i) ⊆ ⋂ i, f '' (s i) :=
(maps_to_Inter_Inter $ λ i, maps_to_image f (s i)).image_subset
lemma image_Inter₂_subset (s : Π i, κ i → set α) (f : α → β) :
f '' (⋂ i j, s i j) ⊆ ⋂ i j, f '' s i j :=
(maps_to_Inter₂_Inter₂ $ λ i hi, maps_to_image f (s i hi)).image_subset
lemma image_sInter_subset (S : set (set α)) (f : α → β) :
f '' (⋂₀ S) ⊆ ⋂ s ∈ S, f '' s :=
by { rw sInter_eq_bInter, apply image_Inter₂_subset }
/-! ### `restrict_preimage` -/
section
open function
variables (s : set β) {f : α → β} {U : ι → set β} (hU : Union U = univ)
include hU
lemma injective_iff_injective_of_Union_eq_univ :
injective f ↔ ∀ i, injective ((U i).restrict_preimage f) :=
begin
refine ⟨λ H i, (U i).restrict_preimage_injective H, λ H x y e, _⟩,
obtain ⟨i, hi⟩ := set.mem_Union.mp (show f x ∈ set.Union U, by { rw hU, triv }),
injection @H i ⟨x, hi⟩ ⟨y, show f y ∈ U i, from e ▸ hi⟩ (subtype.ext e)
end
lemma surjective_iff_surjective_of_Union_eq_univ :
surjective f ↔ ∀ i, surjective ((U i).restrict_preimage f) :=
begin
refine ⟨λ H i, (U i).restrict_preimage_surjective H, λ H x, _⟩,
obtain ⟨i, hi⟩ := set.mem_Union.mp (show x ∈ set.Union U, by { rw hU, triv }),
exact ⟨_, congr_arg subtype.val (H i ⟨x, hi⟩).some_spec⟩
end
lemma bijective_iff_bijective_of_Union_eq_univ :
bijective f ↔ ∀ i, bijective ((U i).restrict_preimage f) :=
by simp_rw [bijective, forall_and_distrib, injective_iff_injective_of_Union_eq_univ hU,
surjective_iff_surjective_of_Union_eq_univ hU]
end
/-! ### `inj_on` -/
lemma inj_on.image_Inter_eq [nonempty ι] {s : ι → set α} {f : α → β} (h : inj_on f (⋃ i, s i)) :
f '' (⋂ i, s i) = ⋂ i, f '' (s i) :=
begin
inhabit ι,
refine subset.antisymm (image_Inter_subset s f) (λ y hy, _),
simp only [mem_Inter, mem_image_iff_bex] at hy,
choose x hx hy using hy,
refine ⟨x default, mem_Inter.2 $ λ i, _, hy _⟩,
suffices : x default = x i,
{ rw this, apply hx },
replace hx : ∀ i, x i ∈ ⋃ j, s j := λ i, (subset_Union _ _) (hx i),
apply h (hx _) (hx _),
simp only [hy]
end
lemma inj_on.image_bInter_eq {p : ι → Prop} {s : Π i (hi : p i), set α} (hp : ∃ i, p i) {f : α → β}
(h : inj_on f (⋃ i hi, s i hi)) :
f '' (⋂ i hi, s i hi) = ⋂ i hi, f '' (s i hi) :=
begin
simp only [Inter, infi_subtype'],
haveI : nonempty {i // p i} := nonempty_subtype.2 hp,
apply inj_on.image_Inter_eq,
simpa only [Union, supr_subtype'] using h
end
lemma image_Inter {f : α → β} (hf : bijective f) (s : ι → set α) :
f '' (⋂ i, s i) = ⋂ i, f '' s i :=
begin
casesI is_empty_or_nonempty ι,
{ simp_rw [Inter_of_empty, image_univ_of_surjective hf.surjective] },
{ exact (hf.injective.inj_on _).image_Inter_eq }
end
lemma image_Inter₂ {f : α → β} (hf : bijective f) (s : Π i, κ i → set α) :
f '' (⋂ i j, s i j) = ⋂ i j, f '' s i j :=
by simp_rw image_Inter hf
lemma inj_on_Union_of_directed {s : ι → set α} (hs : directed (⊆) s)
{f : α → β} (hf : ∀ i, inj_on f (s i)) :
inj_on f (⋃ i, s i) :=
begin
intros x hx y hy hxy,
rcases mem_Union.1 hx with ⟨i, hx⟩,
rcases mem_Union.1 hy with ⟨j, hy⟩,
rcases hs i j with ⟨k, hi, hj⟩,
exact hf k (hi hx) (hj hy) hxy
end
/-! ### `surj_on` -/
lemma surj_on_sUnion {s : set α} {T : set (set β)} {f : α → β} (H : ∀ t ∈ T, surj_on f s t) :
surj_on f s (⋃₀ T) :=
λ x ⟨t, ht, hx⟩, H t ht hx
lemma surj_on_Union {s : set α} {t : ι → set β} {f : α → β} (H : ∀ i, surj_on f s (t i)) :
surj_on f s (⋃ i, t i) :=
surj_on_sUnion $ forall_range_iff.2 H
lemma surj_on_Union_Union {s : ι → set α} {t : ι → set β} {f : α → β}
(H : ∀ i, surj_on f (s i) (t i)) :
surj_on f (⋃ i, s i) (⋃ i, t i) :=
surj_on_Union $ λ i, (H i).mono (subset_Union _ _) (subset.refl _)
lemma surj_on_Union₂ {s : set α} {t : Π i, κ i → set β} {f : α → β}
(H : ∀ i j, surj_on f s (t i j)) :
surj_on f s (⋃ i j, t i j) :=
surj_on_Union $ λ i, surj_on_Union (H i)
lemma surj_on_Union₂_Union₂ {s : Π i, κ i → set α} {t : Π i, κ i → set β} {f : α → β}
(H : ∀ i j, surj_on f (s i j) (t i j)) :
surj_on f (⋃ i j, s i j) (⋃ i j, t i j) :=
surj_on_Union_Union $ λ i, surj_on_Union_Union (H i)
lemma surj_on_Inter [hi : nonempty ι] {s : ι → set α} {t : set β} {f : α → β}
(H : ∀ i, surj_on f (s i) t) (Hinj : inj_on f (⋃ i, s i)) :
surj_on f (⋂ i, s i) t :=
begin
intros y hy,
rw [Hinj.image_Inter_eq, mem_Inter],
exact λ i, H i hy
end
lemma surj_on_Inter_Inter [hi : nonempty ι] {s : ι → set α} {t : ι → set β} {f : α → β}
(H : ∀ i, surj_on f (s i) (t i)) (Hinj : inj_on f (⋃ i, s i)) :
surj_on f (⋂ i, s i) (⋂ i, t i) :=
surj_on_Inter (λ i, (H i).mono (subset.refl _) (Inter_subset _ _)) Hinj
/-! ### `bij_on` -/
lemma bij_on_Union {s : ι → set α} {t : ι → set β} {f : α → β} (H : ∀ i, bij_on f (s i) (t i))
(Hinj : inj_on f (⋃ i, s i)) :
bij_on f (⋃ i, s i) (⋃ i, t i) :=
⟨maps_to_Union_Union $ λ i, (H i).maps_to, Hinj, surj_on_Union_Union $ λ i, (H i).surj_on⟩
lemma bij_on_Inter [hi :nonempty ι] {s : ι → set α} {t : ι → set β} {f : α → β}
(H : ∀ i, bij_on f (s i) (t i)) (Hinj : inj_on f (⋃ i, s i)) :
bij_on f (⋂ i, s i) (⋂ i, t i) :=
⟨maps_to_Inter_Inter $ λ i, (H i).maps_to, hi.elim $ λ i, (H i).inj_on.mono (Inter_subset _ _),
surj_on_Inter_Inter (λ i, (H i).surj_on) Hinj⟩
lemma bij_on_Union_of_directed {s : ι → set α} (hs : directed (⊆) s) {t : ι → set β} {f : α → β}
(H : ∀ i, bij_on f (s i) (t i)) :
bij_on f (⋃ i, s i) (⋃ i, t i) :=
bij_on_Union H $ inj_on_Union_of_directed hs (λ i, (H i).inj_on)
lemma bij_on_Inter_of_directed [nonempty ι] {s : ι → set α} (hs : directed (⊆) s) {t : ι → set β}
{f : α → β} (H : ∀ i, bij_on f (s i) (t i)) :
bij_on f (⋂ i, s i) (⋂ i, t i) :=
bij_on_Inter H $ inj_on_Union_of_directed hs (λ i, (H i).inj_on)
end function
/-! ### `image`, `preimage` -/
section image
lemma image_Union {f : α → β} {s : ι → set α} : f '' (⋃ i, s i) = (⋃ i, f '' s i) :=
begin
ext1 x,
simp [image, ← exists_and_distrib_right, @exists_swap α]
end
lemma image_Union₂ (f : α → β) (s : Π i, κ i → set α) : f '' (⋃ i j, s i j) = ⋃ i j, f '' s i j :=
by simp_rw image_Union
lemma univ_subtype {p : α → Prop} : (univ : set (subtype p)) = (⋃ x (h : p x), {⟨x, h⟩}) :=
set.ext $ λ ⟨x, h⟩, by simp [h]
lemma range_eq_Union {ι} (f : ι → α) : range f = (⋃ i, {f i}) :=
set.ext $ λ a, by simp [@eq_comm α a]
lemma image_eq_Union (f : α → β) (s : set α) : f '' s = (⋃ i ∈ s, {f i}) :=
set.ext $ λ b, by simp [@eq_comm β b]
lemma bUnion_range {f : ι → α} {g : α → set β} : (⋃ x ∈ range f, g x) = (⋃ y, g (f y)) :=
supr_range
@[simp] lemma Union_Union_eq' {f : ι → α} {g : α → set β} :
(⋃ x y (h : f y = x), g x) = ⋃ y, g (f y) :=
by simpa using bUnion_range
lemma bInter_range {f : ι → α} {g : α → set β} : (⋂ x ∈ range f, g x) = (⋂ y, g (f y)) :=
infi_range
@[simp] lemma Inter_Inter_eq' {f : ι → α} {g : α → set β} :
(⋂ x y (h : f y = x), g x) = ⋂ y, g (f y) :=
by simpa using bInter_range
variables {s : set γ} {f : γ → α} {g : α → set β}
lemma bUnion_image : (⋃ x ∈ f '' s, g x) = (⋃ y ∈ s, g (f y)) :=
supr_image
lemma bInter_image : (⋂ x ∈ f '' s, g x) = (⋂ y ∈ s, g (f y)) :=
infi_image
end image
section preimage
theorem monotone_preimage {f : α → β} : monotone (preimage f) := λ a b h, preimage_mono h
@[simp] lemma preimage_Union {f : α → β} {s : ι → set β} : f ⁻¹' (⋃ i, s i) = (⋃ i, f ⁻¹' s i) :=
set.ext $ by simp [preimage]
lemma preimage_Union₂ {f : α → β} {s : Π i, κ i → set β} :
f ⁻¹' (⋃ i j, s i j) = ⋃ i j, f ⁻¹' s i j :=
by simp_rw preimage_Union
@[simp] theorem preimage_sUnion {f : α → β} {s : set (set β)} :
f ⁻¹' (⋃₀ s) = (⋃ t ∈ s, f ⁻¹' t) :=
by rw [sUnion_eq_bUnion, preimage_Union₂]
lemma preimage_Inter {f : α → β} {s : ι → set β} : f ⁻¹' (⋂ i, s i) = (⋂ i, f ⁻¹' s i) :=
by ext; simp
lemma preimage_Inter₂ {f : α → β} {s : Π i, κ i → set β} :
f ⁻¹' (⋂ i j, s i j) = ⋂ i j, f ⁻¹' s i j :=
by simp_rw preimage_Inter
@[simp] lemma preimage_sInter {f : α → β} {s : set (set β)} : f ⁻¹' (⋂₀ s) = ⋂ t ∈ s, f ⁻¹' t :=
by rw [sInter_eq_bInter, preimage_Inter₂]
@[simp] lemma bUnion_preimage_singleton (f : α → β) (s : set β) : (⋃ y ∈ s, f ⁻¹' {y}) = f ⁻¹' s :=
by rw [← preimage_Union₂, bUnion_of_singleton]
lemma bUnion_range_preimage_singleton (f : α → β) : (⋃ y ∈ range f, f ⁻¹' {y}) = univ :=
by rw [bUnion_preimage_singleton, preimage_range]
end preimage
section prod
lemma prod_Union {s : set α} {t : ι → set β} : s ×ˢ (⋃ i, t i) = ⋃ i, s ×ˢ (t i) := by { ext, simp }
lemma prod_Union₂ {s : set α} {t : Π i, κ i → set β} : s ×ˢ (⋃ i j, t i j) = ⋃ i j, s ×ˢ t i j :=
by simp_rw [prod_Union]
lemma prod_sUnion {s : set α} {C : set (set β)} : s ×ˢ (⋃₀ C) = ⋃₀ ((λ t, s ×ˢ t) '' C) :=
by simp_rw [sUnion_eq_bUnion, bUnion_image, prod_Union₂]
lemma Union_prod_const {s : ι → set α} {t : set β} : (⋃ i, s i) ×ˢ t = ⋃ i, s i ×ˢ t :=
by { ext, simp }
lemma Union₂_prod_const {s : Π i, κ i → set α} {t : set β} :
(⋃ i j, s i j) ×ˢ t = ⋃ i j, s i j ×ˢ t :=
by simp_rw [Union_prod_const]
lemma sUnion_prod_const {C : set (set α)} {t : set β} :
(⋃₀ C) ×ˢ t = ⋃₀ ((λ s : set α, s ×ˢ t) '' C) :=
by simp only [sUnion_eq_bUnion, Union₂_prod_const, bUnion_image]
lemma Union_prod {ι ι' α β} (s : ι → set α) (t : ι' → set β) :
(⋃ (x : ι × ι'), s x.1 ×ˢ t x.2) = (⋃ (i : ι), s i) ×ˢ (⋃ (i : ι'), t i) :=
by { ext, simp }
lemma Union_prod_of_monotone [semilattice_sup α] {s : α → set β} {t : α → set γ}
(hs : monotone s) (ht : monotone t) : (⋃ x, s x ×ˢ t x) = (⋃ x, s x) ×ˢ (⋃ x, t x) :=
begin
ext ⟨z, w⟩, simp only [mem_prod, mem_Union, exists_imp_distrib, and_imp, iff_def], split,
{ intros x hz hw, exact ⟨⟨x, hz⟩, x, hw⟩ },
{ intros x hz x' hw, exact ⟨x ⊔ x', hs le_sup_left hz, ht le_sup_right hw⟩ }
end
lemma sInter_prod_sInter_subset (S : set (set α)) (T : set (set β)) :
⋂₀ S ×ˢ ⋂₀ T ⊆ ⋂ r ∈ S ×ˢ T, r.1 ×ˢ r.2 :=
subset_Inter₂ (λ x hx y hy, ⟨hy.1 x.1 hx.1, hy.2 x.2 hx.2⟩)
lemma sInter_prod_sInter {S : set (set α)} {T : set (set β)} (hS : S.nonempty) (hT : T.nonempty) :
⋂₀ S ×ˢ ⋂₀ T = ⋂ r ∈ S ×ˢ T, r.1 ×ˢ r.2 :=
begin
obtain ⟨s₁, h₁⟩ := hS,
obtain ⟨s₂, h₂⟩ := hT,
refine set.subset.antisymm (sInter_prod_sInter_subset S T) (λ x hx, _),
rw mem_Inter₂ at hx,
exact ⟨λ s₀ h₀, (hx (s₀, s₂) ⟨h₀, h₂⟩).1, λ s₀ h₀, (hx (s₁, s₀) ⟨h₁, h₀⟩).2⟩,
end
lemma sInter_prod {S : set (set α)} (hS : S.nonempty) (t : set β) :
⋂₀ S ×ˢ t = ⋂ s ∈ S, s ×ˢ t :=
begin
rw [←sInter_singleton t, sInter_prod_sInter hS (singleton_nonempty t), sInter_singleton],
simp_rw [prod_singleton, mem_image, Inter_exists, bInter_and', Inter_Inter_eq_right],
end
lemma prod_sInter {T : set (set β)} (hT : T.nonempty) (s : set α) :
s ×ˢ ⋂₀ T = ⋂ t ∈ T, s ×ˢ t :=
begin
rw [←sInter_singleton s, sInter_prod_sInter (singleton_nonempty s) hT, sInter_singleton],
simp_rw [singleton_prod, mem_image, Inter_exists, bInter_and', Inter_Inter_eq_right],
end
end prod
section image2
variables (f : α → β → γ) {s : set α} {t : set β}
lemma Union_image_left : (⋃ a ∈ s, f a '' t) = image2 f s t :=
by { ext y, split; simp only [mem_Union]; rintro ⟨a, ha, x, hx, ax⟩; exact ⟨a, x, ha, hx, ax⟩ }
lemma Union_image_right : (⋃ b ∈ t, (λ a, f a b) '' s) = image2 f s t :=
by { ext y, split; simp only [mem_Union]; rintro ⟨a, b, c, d, e⟩, exact ⟨c, a, d, b, e⟩,
exact ⟨b, d, a, c, e⟩ }
lemma image2_Union_left (s : ι → set α) (t : set β) :
image2 f (⋃ i, s i) t = ⋃ i, image2 f (s i) t :=
by simp only [← image_prod, Union_prod_const, image_Union]
lemma image2_Union_right (s : set α) (t : ι → set β) :
image2 f s (⋃ i, t i) = ⋃ i, image2 f s (t i) :=
by simp only [← image_prod, prod_Union, image_Union]
lemma image2_Union₂_left (s : Π i, κ i → set α) (t : set β) :
image2 f (⋃ i j, s i j) t = ⋃ i j, image2 f (s i j) t :=
by simp_rw image2_Union_left
lemma image2_Union₂_right (s : set α) (t : Π i, κ i → set β) :
image2 f s (⋃ i j, t i j) = ⋃ i j, image2 f s (t i j) :=
by simp_rw image2_Union_right
lemma image2_Inter_subset_left (s : ι → set α) (t : set β) :
image2 f (⋂ i, s i) t ⊆ ⋂ i, image2 f (s i) t :=
by { simp_rw [image2_subset_iff, mem_Inter], exact λ x hx y hy i, mem_image2_of_mem (hx _) hy }
lemma image2_Inter_subset_right (s : set α) (t : ι → set β) :
image2 f s (⋂ i, t i) ⊆ ⋂ i, image2 f s (t i) :=
by { simp_rw [image2_subset_iff, mem_Inter], exact λ x hx y hy i, mem_image2_of_mem hx (hy _) }
lemma image2_Inter₂_subset_left (s : Π i, κ i → set α) (t : set β) :
image2 f (⋂ i j, s i j) t ⊆ ⋂ i j, image2 f (s i j) t :=
by { simp_rw [image2_subset_iff, mem_Inter], exact λ x hx y hy i j, mem_image2_of_mem (hx _ _) hy }
lemma image2_Inter₂_subset_right (s : set α) (t : Π i, κ i → set β) :
image2 f s (⋂ i j, t i j) ⊆ ⋂ i j, image2 f s (t i j) :=
by { simp_rw [image2_subset_iff, mem_Inter], exact λ x hx y hy i j, mem_image2_of_mem hx (hy _ _) }
/-- The `set.image2` version of `set.image_eq_Union` -/
lemma image2_eq_Union (s : set α) (t : set β) : image2 f s t = ⋃ (i ∈ s) (j ∈ t), {f i j} :=
by simp_rw [←image_eq_Union, Union_image_left]
lemma prod_eq_bUnion_left : s ×ˢ t = ⋃ a ∈ s, (λ b, (a, b)) '' t :=
by rw [Union_image_left, image2_mk_eq_prod]
lemma prod_eq_bUnion_right : s ×ˢ t = ⋃ b ∈ t, (λ a, (a, b)) '' s :=
by rw [Union_image_right, image2_mk_eq_prod]
end image2
section seq
/-- Given a set `s` of functions `α → β` and `t : set α`, `seq s t` is the union of `f '' t` over
all `f ∈ s`. -/
def seq (s : set (α → β)) (t : set α) : set β := {b | ∃ f ∈ s, ∃ a ∈ t, (f : α → β) a = b}
lemma seq_def {s : set (α → β)} {t : set α} : seq s t = ⋃ f ∈ s, f '' t :=
set.ext $ by simp [seq]
@[simp] lemma mem_seq_iff {s : set (α → β)} {t : set α} {b : β} :
b ∈ seq s t ↔ ∃ (f ∈ s) (a ∈ t), (f : α → β) a = b :=
iff.rfl
lemma seq_subset {s : set (α → β)} {t : set α} {u : set β} :
seq s t ⊆ u ↔ (∀ f ∈ s, ∀ a ∈ t, (f : α → β) a ∈ u) :=
iff.intro
(λ h f hf a ha, h ⟨f, hf, a, ha, rfl⟩)
(λ h b ⟨f, hf, a, ha, eq⟩, eq ▸ h f hf a ha)
lemma seq_mono {s₀ s₁ : set (α → β)} {t₀ t₁ : set α} (hs : s₀ ⊆ s₁) (ht : t₀ ⊆ t₁) :
seq s₀ t₀ ⊆ seq s₁ t₁ :=
λ b ⟨f, hf, a, ha, eq⟩, ⟨f, hs hf, a, ht ha, eq⟩
lemma singleton_seq {f : α → β} {t : set α} : set.seq {f} t = f '' t :=
set.ext $ by simp
lemma seq_singleton {s : set (α → β)} {a : α} : set.seq s {a} = (λ f : α → β, f a) '' s :=
set.ext $ by simp
lemma seq_seq {s : set (β → γ)} {t : set (α → β)} {u : set α} :
seq s (seq t u) = seq (seq ((∘) '' s) t) u :=
begin
refine set.ext (λ c, iff.intro _ _),
{ rintro ⟨f, hfs, b, ⟨g, hg, a, hau, rfl⟩, rfl⟩,
exact ⟨f ∘ g, ⟨(∘) f, mem_image_of_mem _ hfs, g, hg, rfl⟩, a, hau, rfl⟩ },
{ rintro ⟨fg, ⟨fc, ⟨f, hfs, rfl⟩, g, hgt, rfl⟩, a, ha, rfl⟩,
exact ⟨f, hfs, g a, ⟨g, hgt, a, ha, rfl⟩, rfl⟩ }
end
lemma image_seq {f : β → γ} {s : set (α → β)} {t : set α} :
f '' seq s t = seq ((∘) f '' s) t :=
by rw [← singleton_seq, ← singleton_seq, seq_seq, image_singleton]
lemma prod_eq_seq {s : set α} {t : set β} : s ×ˢ t = (prod.mk '' s).seq t :=
begin
ext ⟨a, b⟩,
split,
{ rintro ⟨ha, hb⟩, exact ⟨prod.mk a, ⟨a, ha, rfl⟩, b, hb, rfl⟩ },
{ rintro ⟨f, ⟨x, hx, rfl⟩, y, hy, eq⟩, rw ← eq, exact ⟨hx, hy⟩ }
end
lemma prod_image_seq_comm (s : set α) (t : set β) :
(prod.mk '' s).seq t = seq ((λ b a, (a, b)) '' t) s :=
by rw [← prod_eq_seq, ← image_swap_prod, prod_eq_seq, image_seq, ← image_comp, prod.swap]
lemma image2_eq_seq (f : α → β → γ) (s : set α) (t : set β) : image2 f s t = seq (f '' s) t :=
by { ext, simp }
end seq
section pi
variables {π : α → Type*}
lemma pi_def (i : set α) (s : Π a, set (π a)) :
pi i s = (⋂ a ∈ i, eval a ⁻¹' s a) :=
by { ext, simp }
lemma univ_pi_eq_Inter (t : Π i, set (π i)) : pi univ t = ⋂ i, eval i ⁻¹' t i :=
by simp only [pi_def, Inter_true, mem_univ]
lemma pi_diff_pi_subset (i : set α) (s t : Π a, set (π a)) :
pi i s \ pi i t ⊆ ⋃ a ∈ i, (eval a ⁻¹' (s a \ t a)) :=
begin
refine diff_subset_comm.2 (λ x hx a ha, _),
simp only [mem_diff, mem_pi, mem_Union, not_exists, mem_preimage, not_and, not_not, eval_apply]
at hx,
exact hx.2 _ ha (hx.1 _ ha)
end
lemma Union_univ_pi (t : Π i, ι → set (π i)) :
(⋃ (x : α → ι), pi univ (λ i, t i (x i))) = pi univ (λ i, ⋃ (j : ι), t i j) :=
by { ext, simp [classical.skolem] }
end pi
end set
namespace function
namespace surjective
lemma Union_comp {f : ι → ι₂} (hf : surjective f) (g : ι₂ → set α) :
(⋃ x, g (f x)) = ⋃ y, g y :=
hf.supr_comp g
lemma Inter_comp {f : ι → ι₂} (hf : surjective f) (g : ι₂ → set α) :
(⋂ x, g (f x)) = ⋂ y, g y :=
hf.infi_comp g
end surjective
end function
/-!
### Disjoint sets
We define some lemmas in the `disjoint` namespace to be able to use projection notation.
-/
section disjoint
variables {s t u : set α} {f : α → β}
namespace set
@[simp] theorem disjoint_Union_left {ι : Sort*} {s : ι → set α} :
disjoint (⋃ i, s i) t ↔ ∀ i, disjoint (s i) t :=
supr_disjoint_iff
@[simp] theorem disjoint_Union_right {ι : Sort*} {s : ι → set α} :
disjoint t (⋃ i, s i) ↔ ∀ i, disjoint t (s i) :=
disjoint_supr_iff
@[simp] lemma disjoint_Union₂_left {s : Π i, κ i → set α} {t : set α} :
disjoint (⋃ i j, s i j) t ↔ ∀ i j, disjoint (s i j) t :=
supr₂_disjoint_iff
@[simp] lemma disjoint_Union₂_right {s : set α} {t : Π i, κ i → set α} :
disjoint s (⋃ i j, t i j) ↔ ∀ i j, disjoint s (t i j) :=
disjoint_supr₂_iff
@[simp] lemma disjoint_sUnion_left {S : set (set α)} {t : set α} :
disjoint (⋃₀ S) t ↔ ∀ s ∈ S, disjoint s t :=
Sup_disjoint_iff
@[simp] lemma disjoint_sUnion_right {s : set α} {S : set (set α)} :
disjoint s (⋃₀ S) ↔ ∀ t ∈ S, disjoint s t :=
disjoint_Sup_iff
end set
end disjoint
/-! ### Intervals -/
namespace set
variables [complete_lattice α]
lemma Ici_supr (f : ι → α) : Ici (⨆ i, f i) = ⋂ i, Ici (f i) :=
ext $ λ _, by simp only [mem_Ici, supr_le_iff, mem_Inter]
lemma Iic_infi (f : ι → α) : Iic (⨅ i, f i) = ⋂ i, Iic (f i) :=
ext $ λ _, by simp only [mem_Iic, le_infi_iff, mem_Inter]
lemma Ici_supr₂ (f : Π i, κ i → α) : Ici (⨆ i j, f i j) = ⋂ i j, Ici (f i j) := by simp_rw Ici_supr
lemma Iic_infi₂ (f : Π i, κ i → α) : Iic (⨅ i j, f i j) = ⋂ i j, Iic (f i j) := by simp_rw Iic_infi
lemma Ici_Sup (s : set α) : Ici (Sup s) = ⋂ a ∈ s, Ici a := by rw [Sup_eq_supr, Ici_supr₂]
lemma Iic_Inf (s : set α) : Iic (Inf s) = ⋂ a ∈ s, Iic a := by rw [Inf_eq_infi, Iic_infi₂]
end set
namespace set
variables (t : α → set β)
lemma bUnion_diff_bUnion_subset (s₁ s₂ : set α) :
(⋃ x ∈ s₁, t x) \ (⋃ x ∈ s₂, t x) ⊆ (⋃ x ∈ s₁ \ s₂, t x) :=
begin
simp only [diff_subset_iff, ← bUnion_union],
apply bUnion_subset_bUnion_left,
rw union_diff_self,
apply subset_union_right
end
/-- If `t` is an indexed family of sets, then there is a natural map from `Σ i, t i` to `⋃ i, t i`
sending `⟨i, x⟩` to `x`. -/
def sigma_to_Union (x : Σ i, t i) : (⋃ i, t i) := ⟨x.2, mem_Union.2 ⟨x.1, x.2.2⟩⟩
lemma sigma_to_Union_surjective : surjective (sigma_to_Union t)
| ⟨b, hb⟩ := have ∃ a, b ∈ t a, by simpa using hb, let ⟨a, hb⟩ := this in ⟨⟨a, b, hb⟩, rfl⟩
lemma sigma_to_Union_injective (h : ∀ i j, i ≠ j → disjoint (t i) (t j)) :
injective (sigma_to_Union t)
| ⟨a₁, b₁, h₁⟩ ⟨a₂, b₂, h₂⟩ eq :=
have b_eq : b₁ = b₂, from congr_arg subtype.val eq,
have a_eq : a₁ = a₂, from classical.by_contradiction $ λ ne,
have b₁ ∈ t a₁ ∩ t a₂, from ⟨h₁, b_eq.symm ▸ h₂⟩,
(h _ _ ne).le_bot this,
sigma.eq a_eq $ subtype.eq $ by subst b_eq; subst a_eq
lemma sigma_to_Union_bijective (h : ∀ i j, i ≠ j → disjoint (t i) (t j)) :
bijective (sigma_to_Union t) :=
⟨sigma_to_Union_injective t h, sigma_to_Union_surjective t⟩
/-- Equivalence between a disjoint union and a dependent sum. -/
noncomputable def Union_eq_sigma_of_disjoint {t : α → set β}
(h : ∀ i j, i ≠ j → disjoint (t i) (t j)) : (⋃ i, t i) ≃ (Σ i, t i) :=
(equiv.of_bijective _ $ sigma_to_Union_bijective t h).symm
lemma Union_ge_eq_Union_nat_add (u : ℕ → set α) (n : ℕ) : (⋃ i ≥ n, u i) = ⋃ i, u (i + n) :=
supr_ge_eq_supr_nat_add u n
lemma Inter_ge_eq_Inter_nat_add (u : ℕ → set α) (n : ℕ) : (⋂ i ≥ n, u i) = ⋂ i, u (i + n) :=
infi_ge_eq_infi_nat_add u n
lemma _root_.monotone.Union_nat_add {f : ℕ → set α} (hf : monotone f) (k : ℕ) :
(⋃ n, f (n + k)) = ⋃ n, f n :=
hf.supr_nat_add k
lemma _root_.antitone.Inter_nat_add {f : ℕ → set α} (hf : antitone f) (k : ℕ) :
(⋂ n, f (n + k)) = ⋂ n, f n :=
hf.infi_nat_add k
@[simp] lemma Union_Inter_ge_nat_add (f : ℕ → set α) (k : ℕ) :
(⋃ n, ⋂ i ≥ n, f (i + k)) = ⋃ n, ⋂ i ≥ n, f i :=
supr_infi_ge_nat_add f k
lemma union_Union_nat_succ (u : ℕ → set α) : u 0 ∪ (⋃ i, u (i + 1)) = ⋃ i, u i :=
sup_supr_nat_succ u
lemma inter_Inter_nat_succ (u : ℕ → set α) : u 0 ∩ (⋂ i, u (i + 1)) = ⋂ i, u i :=
inf_infi_nat_succ u
end set
open set
variables [complete_lattice β]
lemma supr_Union (s : ι → set α) (f : α → β) : (⨆ a ∈ (⋃ i, s i), f a) = ⨆ i (a ∈ s i), f a :=
by { rw supr_comm, simp_rw [mem_Union, supr_exists] }
lemma infi_Union (s : ι → set α) (f : α → β) : (⨅ a ∈ (⋃ i, s i), f a) = ⨅ i (a ∈ s i), f a :=
@supr_Union α βᵒᵈ _ _ s f
lemma Sup_sUnion (s : set (set β)) : Sup (⋃₀ s) = ⨆ t ∈ s, Sup t :=
by simp only [sUnion_eq_bUnion, Sup_eq_supr, supr_Union]
lemma Inf_sUnion (s : set (set β)) : Inf (⋃₀ s) = ⨅ t ∈ s, Inf t := @Sup_sUnion βᵒᵈ _ _
|
51ad164ed6793cc36fd3d6b503ea3c8f70952dfa | 43390109ab88557e6090f3245c47479c123ee500 | /src/Topology/Material/Sutherland_Chapter_12.lean | ad237c7284150b491b13f0a08166680c7140ed8c | [
"Apache-2.0"
] | permissive | Ja1941/xena-UROP-2018 | 41f0956519f94d56b8bf6834a8d39473f4923200 | b111fb87f343cf79eca3b886f99ee15c1dd9884b | refs/heads/master | 1,662,355,955,139 | 1,590,577,325,000 | 1,590,577,325,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 6,156 | lean | import analysis.topology.topological_space
import analysis.topology.continuity
import data.set.basic
import logic.basic
import Topology.Material.connected_spaces
import analysis.real
--import Topology.Material.Path_Homotopy
open set filter lattice classical
local attribute [instance] prop_decidable
universe u
variables {α : Type u} {β : Type u}
-- Definition 12.1 TODO: Work out why this breaks??
theorem connected_if_nexists_cts [topological_space α] :
¬ (∃ f : α → bool, continuous f ∧ function.surjective f) → connected_space α :=
by {intro h, simp at h, exact cts_to_discrete_to_connected h}
-- Definition 12.2
def is_partition [topological_space α] (A B : set α) : Prop :=
is_open A ∧ is_open B ∧ A ∪ B = univ ∧ A ∩ B = ∅ ∧ A ≠ ∅ ∧ B ≠ ∅
-- Proposition 12.3
theorem connected_def_no_partition [connected_space α] :
¬(∃ A B : set α, is_partition A B) :=
begin
intros hc, unfold is_partition at hc,
have h1 : ∀ U V : set α, is_open U ∧ is_open V → ¬(U ∪ V = univ ∧ U ∩ V = ∅ ∧ U ≠ ∅ ∧ V ≠ ∅),
exact connected_def_no_open_separation,
show false, by exact exists.elim hc
(assume A a, by exact exists.elim a
(assume B b, by exact absurd b.2.2 (h1 A B (and.intro b.1 b.2.1)))),
end
theorem no_partition_to_connected [topological_space α] :
¬(∃ A B : set α, is_partition A B) → connected_space α :=
begin
intro H, simp at H, unfold is_partition at H,
have h1 : ∀ (x y : set α), is_open x ∧ is_open y →
¬ (x ∪ y = univ ∧ x ∩ y = ∅ ∧ x ≠ ∅ ∧ y ≠ ∅),
{intros x y a1, have a2 := H x y,
rw [not_and_distrib,not_and_distrib,or_iff_not_imp_left,not_not] at a2,
have a3 := a2 a1.1, rw [or_iff_not_imp_left,not_not] at a3, by exact a3 a1.2},
by exact no_open_separation_to_connected h1,
end
-- Corollary 12.4
-- Example 12.5 (a)
theorem discrete_space_admits_partition [discrete_space α] {x y : α} (H : x ≠ y) :
∃ U V : set α, is_partition U V :=
begin
unfold is_partition,
have h1 : ∀ s : set α, s ∩ -s = ∅, {intro x, simp},
have h2 : ∀ s : set α, s ∪ -s = univ, {intro x, simp},
have h3 : ∀ s : set α, is_open s, {intro s, exact discrete_space.discreteness s},
have h4 : (singleton x) ∩ -(singleton x) = ∅, {exact h1 (singleton x)},
have h5 : (singleton x) ∪ -(singleton x) = univ, {exact h2 (singleton x)},
have h6 : is_open (singleton x), {exact h3 (singleton x)},
have h7 : is_open (-(singleton x)), {exact h3 (-(singleton x))},
have h8 : (singleton x) ≠ ∅ := ne_empty_iff_exists_mem.mpr (exists.intro x (mem_singleton x)),
have h9 : y ∈ (-(singleton x)),
{have b1 : y ∉ (singleton x), {by_contradiction hc, rw [mem_singleton_iff] at hc,
rw [eq_comm] at hc, exact absurd hc H}, exact (mem_compl_iff _ _ ).mpr b1},
have h10 : -(singleton x) ≠ ∅ := ne_empty_iff_exists_mem.mpr (exists.intro y h9),
have h11 : is_open (singleton x) ∧ is_open (-(singleton x)) ∧ (singleton x) ∪ -(singleton x) = univ ∧
(singleton x) ∩ -(singleton x) = ∅ ∧ (singleton x) ≠ ∅ ∧ -(singleton x) ≠ ∅ := ⟨h6,h7,h5,h4,h8,h10⟩,
by exact exists.intro (singleton x) (by exact exists.intro (-(singleton x)) (h11)),
end
-- Example 12.5 (b)
theorem indiscrete_space_admits_no_partition [indiscrete_space α] :
¬(∃ A B : set α, is_partition A B) :=
begin
simp, intros A B hc, unfold is_partition at hc,
show false, from absurd hc.1 (indiscrete_space.indiscreteness A),
end
-- Proposition 12.7
def interval (a b : ℝ) : set ℝ := {x : ℝ | a ≤ x ∧ x ≤ b}
lemma le_lt_trans {x y z : ℝ} (h1 : x ≤ y) (h2 : y < z) : x < z :=
begin
have H : x ≤ z := le_trans h1 (lt_iff_le_and_ne.mp h2).1,
{by_contradiction g1, simp at g1,
have g2 := le_antisymm H g1, rw g2 at h1,
exact absurd h2 (not_lt.mpr h1)},
end
lemma lt_le_trans {x y z : ℝ} (h1 : x < y) (h2 : y ≤ z) : x < z :=
begin
have H : x ≤ z := le_trans (lt_iff_le_and_ne.mp h1).1 h2,
{by_contradiction g1, simp at g1,
have g2 := le_antisymm H g1, rw g2 at h1,
exact absurd h1 (not_lt.mpr h2)},
end
theorem interval_iff {a b : ℝ} (S : set ℝ): S = interval a b ↔
∀ x y z : ℝ, x ∈ S ∧ y ∈ S ∧ (x < z) ∧ (z < y) → z ∈ S :=
begin
apply iff.intro,
intros hS x y z h1, rw interval at hS,
by_contradiction hz, rw hS at hz, simp at hz,
have g1 := h1.1, have g2 := h1.2.1,
rw hS at g1 g2, simp at g2 g1,
have g3 := h1.2.2.1, have g4 := h1.2.2.2,
have t1 : a < z := le_lt_trans g1.1 g3,
have t2 : z < b := lt_le_trans g4 g2.2,
have t3 : b < z := (hz (le_of_lt t1)),
by exact absurd t3 (not_lt_of_lt t2),
by sorry
end
-- Theorem 12.8
-- Example 12.9
-- Theorem 12.10
-- Proposition 12.11
/-
theorem [connected_space α] [topological_space β] {f : α → β}
(hf : continuous f) (hs : function.surjective f) :
is_connected (f '' univ) := sorry
theorem [connected_space α] [topological_space β] {f : α → β} (hf : continuous f) :
is_connected (f '' univ) :=
begin
rw is_connected, intros U V H1 HC, rw is_open_in_subspace at H1, by sorry
end
-/
-- Corollary 12.12
-- Corollary 12.13
-- Corollary 12.14
-- Corollary 12.15
-- Proposition 12.16
-- Corollary 12.17
-- Theorem 12.18
theorem prod_connected_if_connected [connected_space α] [connected_space β]
: connected_space (α × β) := sorry
theorem left_connected_if_prod_connected [connected_space (α × β)]
: connected_space α := sorry
theorem right_connected_if_prod_connected [connected_space (α × β)]
: connected_space β := sorry
-- Proposition 12.19
theorem subset_closure_connected [topological_space α] {A B : set α}
(hc : is_connected A) (hs1 : A ⊆ B) (hs2 : B ⊆ closure A) : is_connected B :=
sorry
-- Definition 12.20
-- Definition 12.21
-- Example 12.22 (a)
-- Example 12.22 (b)
-- Proposition 12.23
-- Lemma 12.24
-- Proposition 12.25
|
6bc201a67e417942542ce19629dfa11df5c505ca | 4727251e0cd73359b15b664c3170e5d754078599 | /src/logic/equiv/local_equiv.lean | b6bed0f350ce1759ca6a7e8be5d491f22773b665 | [
"Apache-2.0"
] | permissive | Vierkantor/mathlib | 0ea59ac32a3a43c93c44d70f441c4ee810ccceca | 83bc3b9ce9b13910b57bda6b56222495ebd31c2f | refs/heads/master | 1,658,323,012,449 | 1,652,256,003,000 | 1,652,256,003,000 | 209,296,341 | 0 | 1 | Apache-2.0 | 1,568,807,655,000 | 1,568,807,655,000 | null | UTF-8 | Lean | false | false | 34,515 | lean | /-
Copyright (c) 2019 Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sébastien Gouëzel
-/
import data.set.function
import logic.equiv.basic
/-!
# Local equivalences
This files defines equivalences between subsets of given types.
An element `e` of `local_equiv α β` is made of two maps `e.to_fun` and `e.inv_fun` respectively
from α to β and from β to α (just like equivs), which are inverse to each other on the subsets
`e.source` and `e.target` of respectively α and β.
They are designed in particular to define charts on manifolds.
The main functionality is `e.trans f`, which composes the two local equivalences by restricting
the source and target to the maximal set where the composition makes sense.
As for equivs, we register a coercion to functions and use it in our simp normal form: we write
`e x` and `e.symm y` instead of `e.to_fun x` and `e.inv_fun y`.
## Main definitions
`equiv.to_local_equiv`: associating a local equiv to an equiv, with source = target = univ
`local_equiv.symm` : the inverse of a local equiv
`local_equiv.trans` : the composition of two local equivs
`local_equiv.refl` : the identity local equiv
`local_equiv.of_set` : the identity on a set `s`
`eq_on_source` : equivalence relation describing the "right" notion of equality for local
equivs (see below in implementation notes)
## Implementation notes
There are at least three possible implementations of local equivalences:
* equivs on subtypes
* pairs of functions taking values in `option α` and `option β`, equal to none where the local
equivalence is not defined
* pairs of functions defined everywhere, keeping the source and target as additional data
Each of these implementations has pros and cons.
* When dealing with subtypes, one still need to define additional API for composition and
restriction of domains. Checking that one always belongs to the right subtype makes things very
tedious, and leads quickly to DTT hell (as the subtype `u ∩ v` is not the "same" as `v ∩ u`, for
instance).
* With option-valued functions, the composition is very neat (it is just the usual composition, and
the domain is restricted automatically). These are implemented in `pequiv.lean`. For manifolds,
where one wants to discuss thoroughly the smoothness of the maps, this creates however a lot of
overhead as one would need to extend all classes of smoothness to option-valued maps.
* The local_equiv version as explained above is easier to use for manifolds. The drawback is that
there is extra useless data (the values of `to_fun` and `inv_fun` outside of `source` and `target`).
In particular, the equality notion between local equivs is not "the right one", i.e., coinciding
source and target and equality there. Moreover, there are no local equivs in this sense between
an empty type and a nonempty type. Since empty types are not that useful, and since one almost never
needs to talk about equal local equivs, this is not an issue in practice.
Still, we introduce an equivalence relation `eq_on_source` that captures this right notion of
equality, and show that many properties are invariant under this equivalence relation.
### Local coding conventions
If a lemma deals with the intersection of a set with either source or target of a `local_equiv`,
then it should use `e.source ∩ s` or `e.target ∩ t`, not `s ∩ e.source` or `t ∩ e.target`.
-/
mk_simp_attribute mfld_simps "The simpset `mfld_simps` records several simp lemmas that are
especially useful in manifolds. It is a subset of the whole set of simp lemmas, but it makes it
possible to have quicker proofs (when used with `squeeze_simp` or `simp only`) while retaining
readability.
The typical use case is the following, in a file on manifolds:
If `simp [foo, bar]` is slow, replace it with `squeeze_simp [foo, bar] with mfld_simps` and paste
its output. The list of lemmas should be reasonable (contrary to the output of
`squeeze_simp [foo, bar]` which might contain tens of lemmas), and the outcome should be quick
enough.
"
-- register in the simpset `mfld_simps` several lemmas that are often useful when dealing
-- with manifolds
attribute [mfld_simps] id.def function.comp.left_id set.mem_set_of_eq set.image_eq_empty
set.univ_inter set.preimage_univ set.prod_mk_mem_set_prod_eq and_true set.mem_univ
set.mem_image_of_mem true_and set.mem_inter_eq set.mem_preimage function.comp_app
set.inter_subset_left set.mem_prod set.range_id set.range_prod_map and_self set.mem_range_self
eq_self_iff_true forall_const forall_true_iff set.inter_univ set.preimage_id function.comp.right_id
not_false_iff and_imp set.prod_inter_prod set.univ_prod_univ true_or or_true prod.map_mk
set.preimage_inter heq_iff_eq equiv.sigma_equiv_prod_apply equiv.sigma_equiv_prod_symm_apply
subtype.coe_mk equiv.to_fun_as_coe equiv.inv_fun_as_coe
/-- Common `@[simps]` configuration options used for manifold-related declarations. -/
def mfld_cfg : simps_cfg := {attrs := [`simp, `mfld_simps], fully_applied := ff}
namespace tactic.interactive
/-- A very basic tactic to show that sets showing up in manifolds coincide or are included in
one another. -/
meta def mfld_set_tac : tactic unit := do
goal ← tactic.target,
match goal with
| `(%%e₁ = %%e₂) :=
`[ext my_y,
split;
{ assume h_my_y,
try { simp only [*, -h_my_y] with mfld_simps at h_my_y },
simp only [*] with mfld_simps }]
| `(%%e₁ ⊆ %%e₂) :=
`[assume my_y h_my_y,
try { simp only [*, -h_my_y] with mfld_simps at h_my_y },
simp only [*] with mfld_simps]
| _ := tactic.fail "goal should be an equality or an inclusion"
end
end tactic.interactive
open function set
variables {α : Type*} {β : Type*} {γ : Type*} {δ : Type*}
/-- Local equivalence between subsets `source` and `target` of α and β respectively. The (global)
maps `to_fun : α → β` and `inv_fun : β → α` map `source` to `target` and conversely, and are inverse
to each other there. The values of `to_fun` outside of `source` and of `inv_fun` outside of `target`
are irrelevant. -/
structure local_equiv (α : Type*) (β : Type*) :=
(to_fun : α → β)
(inv_fun : β → α)
(source : set α)
(target : set β)
(map_source' : ∀{x}, x ∈ source → to_fun x ∈ target)
(map_target' : ∀{x}, x ∈ target → inv_fun x ∈ source)
(left_inv' : ∀{x}, x ∈ source → inv_fun (to_fun x) = x)
(right_inv' : ∀{x}, x ∈ target → to_fun (inv_fun x) = x)
/-- Associating a local_equiv to an equiv-/
def equiv.to_local_equiv (e : α ≃ β) : local_equiv α β :=
{ to_fun := e,
inv_fun := e.symm,
source := univ,
target := univ,
map_source' := λx hx, mem_univ _,
map_target' := λy hy, mem_univ _,
left_inv' := λx hx, e.left_inv x,
right_inv' := λx hx, e.right_inv x }
namespace local_equiv
variables (e : local_equiv α β) (e' : local_equiv β γ)
instance [inhabited α] [inhabited β] : inhabited (local_equiv α β) :=
⟨⟨const α default, const β default, ∅, ∅, maps_to_empty _ _, maps_to_empty _ _,
eq_on_empty _ _, eq_on_empty _ _⟩⟩
instance inhabited_of_empty [is_empty α] [is_empty β] : inhabited (local_equiv α β) :=
⟨((equiv.equiv_empty α).trans (equiv.equiv_empty β).symm).to_local_equiv⟩
/-- The inverse of a local equiv -/
protected def symm : local_equiv β α :=
{ to_fun := e.inv_fun,
inv_fun := e.to_fun,
source := e.target,
target := e.source,
map_source' := e.map_target',
map_target' := e.map_source',
left_inv' := e.right_inv',
right_inv' := e.left_inv' }
instance : has_coe_to_fun (local_equiv α β) (λ _, α → β) := ⟨local_equiv.to_fun⟩
/-- See Note [custom simps projection] -/
def simps.symm_apply (e : local_equiv α β) : β → α := e.symm
initialize_simps_projections local_equiv (to_fun → apply, inv_fun → symm_apply)
@[simp, mfld_simps] theorem coe_mk (f : α → β) (g s t ml mr il ir) :
(local_equiv.mk f g s t ml mr il ir : α → β) = f := rfl
@[simp, mfld_simps] theorem coe_symm_mk (f : α → β) (g s t ml mr il ir) :
((local_equiv.mk f g s t ml mr il ir).symm : β → α) = g := rfl
@[simp, mfld_simps] lemma to_fun_as_coe : e.to_fun = e := rfl
@[simp, mfld_simps] lemma inv_fun_as_coe : e.inv_fun = e.symm := rfl
@[simp, mfld_simps] lemma map_source {x : α} (h : x ∈ e.source) : e x ∈ e.target :=
e.map_source' h
@[simp, mfld_simps] lemma map_target {x : β} (h : x ∈ e.target) : e.symm x ∈ e.source :=
e.map_target' h
@[simp, mfld_simps] lemma left_inv {x : α} (h : x ∈ e.source) : e.symm (e x) = x :=
e.left_inv' h
@[simp, mfld_simps] lemma right_inv {x : β} (h : x ∈ e.target) : e (e.symm x) = x :=
e.right_inv' h
protected lemma maps_to : maps_to e e.source e.target := λ x, e.map_source
lemma symm_maps_to : maps_to e.symm e.target e.source := e.symm.maps_to
protected lemma left_inv_on : left_inv_on e.symm e e.source := λ x, e.left_inv
protected lemma right_inv_on : right_inv_on e.symm e e.target := λ x, e.right_inv
protected lemma inv_on : inv_on e.symm e e.source e.target := ⟨e.left_inv_on, e.right_inv_on⟩
protected lemma inj_on : inj_on e e.source := e.left_inv_on.inj_on
protected lemma bij_on : bij_on e e.source e.target := e.inv_on.bij_on e.maps_to e.symm_maps_to
protected lemma surj_on : surj_on e e.source e.target := e.bij_on.surj_on
/-- Create a copy of a `local_equiv` providing better definitional equalities. -/
@[simps] def copy (e : local_equiv α β) (f : α → β) (hf : ⇑e = f) (g : β → α) (hg : ⇑e.symm = g)
(s : set α) (hs : e.source = s) (t : set β) (ht : e.target = t) :
local_equiv α β :=
{ to_fun := f,
inv_fun := g,
source := s,
target := t,
map_source' := λ x, ht ▸ hs ▸ hf ▸ e.map_source,
map_target' := λ y, hs ▸ ht ▸ hg ▸ e.map_target,
left_inv' := λ x, hs ▸ hf ▸ hg ▸ e.left_inv,
right_inv' := λ x, ht ▸ hf ▸ hg ▸ e.right_inv }
lemma copy_eq_self (e : local_equiv α β) (f : α → β) (hf : ⇑e = f) (g : β → α) (hg : ⇑e.symm = g)
(s : set α) (hs : e.source = s) (t : set β) (ht : e.target = t) :
e.copy f hf g hg s hs t ht = e :=
by { substs f g s t, cases e, refl }
/-- Associating to a local_equiv an equiv between the source and the target -/
protected def to_equiv : equiv (e.source) (e.target) :=
{ to_fun := λ x, ⟨e x, e.map_source x.mem⟩,
inv_fun := λ y, ⟨e.symm y, e.map_target y.mem⟩,
left_inv := λ⟨x, hx⟩, subtype.eq $ e.left_inv hx,
right_inv := λ⟨y, hy⟩, subtype.eq $ e.right_inv hy }
@[simp, mfld_simps] lemma symm_source : e.symm.source = e.target := rfl
@[simp, mfld_simps] lemma symm_target : e.symm.target = e.source := rfl
@[simp, mfld_simps] lemma symm_symm : e.symm.symm = e := by { cases e, refl }
lemma image_source_eq_target : e '' e.source = e.target := e.bij_on.image_eq
lemma forall_mem_target {p : β → Prop} : (∀ y ∈ e.target, p y) ↔ ∀ x ∈ e.source, p (e x) :=
by rw [← image_source_eq_target, ball_image_iff]
lemma exists_mem_target {p : β → Prop} : (∃ y ∈ e.target, p y) ↔ ∃ x ∈ e.source, p (e x) :=
by rw [← image_source_eq_target, bex_image_iff]
/-- We say that `t : set β` is an image of `s : set α` under a local equivalence if
any of the following equivalent conditions hold:
* `e '' (e.source ∩ s) = e.target ∩ t`;
* `e.source ∩ e ⁻¹ t = e.source ∩ s`;
* `∀ x ∈ e.source, e x ∈ t ↔ x ∈ s` (this one is used in the definition).
-/
def is_image (s : set α) (t : set β) : Prop := ∀ ⦃x⦄, x ∈ e.source → (e x ∈ t ↔ x ∈ s)
namespace is_image
variables {e} {s : set α} {t : set β} {x : α} {y : β}
lemma apply_mem_iff (h : e.is_image s t) (hx : x ∈ e.source) : e x ∈ t ↔ x ∈ s := h hx
lemma symm_apply_mem_iff (h : e.is_image s t) : ∀ ⦃y⦄, y ∈ e.target → (e.symm y ∈ s ↔ y ∈ t) :=
e.forall_mem_target.mpr $ λ x hx, by rw [e.left_inv hx, h hx]
protected lemma symm (h : e.is_image s t) : e.symm.is_image t s := h.symm_apply_mem_iff
@[simp] lemma symm_iff : e.symm.is_image t s ↔ e.is_image s t := ⟨λ h, h.symm, λ h, h.symm⟩
protected lemma maps_to (h : e.is_image s t) : maps_to e (e.source ∩ s) (e.target ∩ t) :=
λ x hx, ⟨e.maps_to hx.1, (h hx.1).2 hx.2⟩
lemma symm_maps_to (h : e.is_image s t) : maps_to e.symm (e.target ∩ t) (e.source ∩ s) :=
h.symm.maps_to
/-- Restrict a `local_equiv` to a pair of corresponding sets. -/
@[simps] def restr (h : e.is_image s t) : local_equiv α β :=
{ to_fun := e,
inv_fun := e.symm,
source := e.source ∩ s,
target := e.target ∩ t,
map_source' := h.maps_to,
map_target' := h.symm_maps_to,
left_inv' := e.left_inv_on.mono (inter_subset_left _ _),
right_inv' := e.right_inv_on.mono (inter_subset_left _ _) }
lemma image_eq (h : e.is_image s t) : e '' (e.source ∩ s) = e.target ∩ t :=
h.restr.image_source_eq_target
lemma symm_image_eq (h : e.is_image s t) : e.symm '' (e.target ∩ t) = e.source ∩ s :=
h.symm.image_eq
lemma iff_preimage_eq : e.is_image s t ↔ e.source ∩ e ⁻¹' t = e.source ∩ s :=
by simp only [is_image, set.ext_iff, mem_inter_eq, and.congr_right_iff, mem_preimage]
alias iff_preimage_eq ↔ local_equiv.is_image.preimage_eq local_equiv.is_image.of_preimage_eq
lemma iff_symm_preimage_eq : e.is_image s t ↔ e.target ∩ e.symm ⁻¹' s = e.target ∩ t :=
symm_iff.symm.trans iff_preimage_eq
alias iff_symm_preimage_eq ↔ local_equiv.is_image.symm_preimage_eq
local_equiv.is_image.of_symm_preimage_eq
lemma of_image_eq (h : e '' (e.source ∩ s) = e.target ∩ t) : e.is_image s t :=
of_symm_preimage_eq $ eq.trans (of_symm_preimage_eq rfl).image_eq.symm h
lemma of_symm_image_eq (h : e.symm '' (e.target ∩ t) = e.source ∩ s) : e.is_image s t :=
of_preimage_eq $ eq.trans (of_preimage_eq rfl).symm_image_eq.symm h
protected lemma compl (h : e.is_image s t) : e.is_image sᶜ tᶜ :=
λ x hx, not_congr (h hx)
protected lemma inter {s' t'} (h : e.is_image s t) (h' : e.is_image s' t') :
e.is_image (s ∩ s') (t ∩ t') :=
λ x hx, and_congr (h hx) (h' hx)
protected lemma union {s' t'} (h : e.is_image s t) (h' : e.is_image s' t') :
e.is_image (s ∪ s') (t ∪ t') :=
λ x hx, or_congr (h hx) (h' hx)
protected lemma diff {s' t'} (h : e.is_image s t) (h' : e.is_image s' t') :
e.is_image (s \ s') (t \ t') :=
h.inter h'.compl
lemma left_inv_on_piecewise {e' : local_equiv α β} [∀ i, decidable (i ∈ s)] [∀ i, decidable (i ∈ t)]
(h : e.is_image s t) (h' : e'.is_image s t) :
left_inv_on (t.piecewise e.symm e'.symm) (s.piecewise e e') (s.ite e.source e'.source) :=
begin
rintro x (⟨he, hs⟩|⟨he, hs : x ∉ s⟩),
{ rw [piecewise_eq_of_mem _ _ _ hs, piecewise_eq_of_mem _ _ _ ((h he).2 hs), e.left_inv he], },
{ rw [piecewise_eq_of_not_mem _ _ _ hs, piecewise_eq_of_not_mem _ _ _ ((h'.compl he).2 hs),
e'.left_inv he] }
end
lemma inter_eq_of_inter_eq_of_eq_on {e' : local_equiv α β} (h : e.is_image s t)
(h' : e'.is_image s t) (hs : e.source ∩ s = e'.source ∩ s) (Heq : eq_on e e' (e.source ∩ s)) :
e.target ∩ t = e'.target ∩ t :=
by rw [← h.image_eq, ← h'.image_eq, ← hs, Heq.image_eq]
lemma symm_eq_on_of_inter_eq_of_eq_on {e' : local_equiv α β} (h : e.is_image s t)
(hs : e.source ∩ s = e'.source ∩ s) (Heq : eq_on e e' (e.source ∩ s)) :
eq_on e.symm e'.symm (e.target ∩ t) :=
begin
rw [← h.image_eq],
rintros y ⟨x, hx, rfl⟩,
have hx' := hx, rw hs at hx',
rw [e.left_inv hx.1, Heq hx, e'.left_inv hx'.1]
end
end is_image
lemma is_image_source_target : e.is_image e.source e.target := λ x hx, by simp [hx]
lemma is_image_source_target_of_disjoint (e' : local_equiv α β) (hs : disjoint e.source e'.source)
(ht : disjoint e.target e'.target) :
e.is_image e'.source e'.target :=
assume x hx,
have x ∉ e'.source, from λ hx', hs ⟨hx, hx'⟩,
have e x ∉ e'.target, from λ hx', ht ⟨e.maps_to hx, hx'⟩,
by simp only *
lemma image_source_inter_eq' (s : set α) :
e '' (e.source ∩ s) = e.target ∩ e.symm ⁻¹' s :=
by rw [inter_comm, e.left_inv_on.image_inter', image_source_eq_target, inter_comm]
lemma image_source_inter_eq (s : set α) :
e '' (e.source ∩ s) = e.target ∩ e.symm ⁻¹' (e.source ∩ s) :=
by rw [inter_comm, e.left_inv_on.image_inter, image_source_eq_target, inter_comm]
lemma image_eq_target_inter_inv_preimage {s : set α} (h : s ⊆ e.source) :
e '' s = e.target ∩ e.symm ⁻¹' s :=
by rw [← e.image_source_inter_eq', inter_eq_self_of_subset_right h]
lemma symm_image_eq_source_inter_preimage {s : set β} (h : s ⊆ e.target) :
e.symm '' s = e.source ∩ e ⁻¹' s :=
e.symm.image_eq_target_inter_inv_preimage h
lemma symm_image_target_inter_eq (s : set β) :
e.symm '' (e.target ∩ s) = e.source ∩ e ⁻¹' (e.target ∩ s) :=
e.symm.image_source_inter_eq _
lemma symm_image_target_inter_eq' (s : set β) :
e.symm '' (e.target ∩ s) = e.source ∩ e ⁻¹' s :=
e.symm.image_source_inter_eq' _
lemma source_inter_preimage_inv_preimage (s : set α) :
e.source ∩ e ⁻¹' (e.symm ⁻¹' s) = e.source ∩ s :=
set.ext $ λ x, and.congr_right_iff.2 $ λ hx, by simp only [mem_preimage, e.left_inv hx]
lemma source_inter_preimage_target_inter (s : set β) :
e.source ∩ (e ⁻¹' (e.target ∩ s)) = e.source ∩ (e ⁻¹' s) :=
ext $ λ x, ⟨λ hx, ⟨hx.1, hx.2.2⟩, λ hx, ⟨hx.1, e.map_source hx.1, hx.2⟩⟩
lemma target_inter_inv_preimage_preimage (s : set β) :
e.target ∩ e.symm ⁻¹' (e ⁻¹' s) = e.target ∩ s :=
e.symm.source_inter_preimage_inv_preimage _
lemma source_subset_preimage_target : e.source ⊆ e ⁻¹' e.target :=
e.maps_to
lemma symm_image_target_eq_source : e.symm '' e.target = e.source :=
e.symm.image_source_eq_target
lemma target_subset_preimage_source : e.target ⊆ e.symm ⁻¹' e.source :=
e.symm_maps_to
/-- Two local equivs that have the same `source`, same `to_fun` and same `inv_fun`, coincide. -/
@[ext]
protected lemma ext {e e' : local_equiv α β} (h : ∀x, e x = e' x)
(hsymm : ∀x, e.symm x = e'.symm x) (hs : e.source = e'.source) : e = e' :=
begin
have A : (e : α → β) = e', by { ext x, exact h x },
have B : (e.symm : β → α) = e'.symm, by { ext x, exact hsymm x },
have I : e '' e.source = e.target := e.image_source_eq_target,
have I' : e' '' e'.source = e'.target := e'.image_source_eq_target,
rw [A, hs, I'] at I,
cases e; cases e',
simp * at *
end
/-- Restricting a local equivalence to e.source ∩ s -/
protected def restr (s : set α) : local_equiv α β :=
(@is_image.of_symm_preimage_eq α β e s (e.symm ⁻¹' s) rfl).restr
@[simp, mfld_simps] lemma restr_coe (s : set α) : (e.restr s : α → β) = e := rfl
@[simp, mfld_simps] lemma restr_coe_symm (s : set α) : ((e.restr s).symm : β → α) = e.symm := rfl
@[simp, mfld_simps] lemma restr_source (s : set α) : (e.restr s).source = e.source ∩ s := rfl
@[simp, mfld_simps] lemma restr_target (s : set α) :
(e.restr s).target = e.target ∩ e.symm ⁻¹' s := rfl
lemma restr_eq_of_source_subset {e : local_equiv α β} {s : set α} (h : e.source ⊆ s) :
e.restr s = e :=
local_equiv.ext (λ_, rfl) (λ_, rfl) (by simp [inter_eq_self_of_subset_left h])
@[simp, mfld_simps] lemma restr_univ {e : local_equiv α β} : e.restr univ = e :=
restr_eq_of_source_subset (subset_univ _)
/-- The identity local equiv -/
protected def refl (α : Type*) : local_equiv α α := (equiv.refl α).to_local_equiv
@[simp, mfld_simps] lemma refl_source : (local_equiv.refl α).source = univ := rfl
@[simp, mfld_simps] lemma refl_target : (local_equiv.refl α).target = univ := rfl
@[simp, mfld_simps] lemma refl_coe : (local_equiv.refl α : α → α) = id := rfl
@[simp, mfld_simps] lemma refl_symm : (local_equiv.refl α).symm = local_equiv.refl α := rfl
@[simp, mfld_simps] lemma refl_restr_source (s : set α) :
((local_equiv.refl α).restr s).source = s :=
by simp
@[simp, mfld_simps] lemma refl_restr_target (s : set α) :
((local_equiv.refl α).restr s).target = s :=
by { change univ ∩ id⁻¹' s = s, simp }
/-- The identity local equiv on a set `s` -/
def of_set (s : set α) : local_equiv α α :=
{ to_fun := id,
inv_fun := id,
source := s,
target := s,
map_source' := λx hx, hx,
map_target' := λx hx, hx,
left_inv' := λx hx, rfl,
right_inv' := λx hx, rfl }
@[simp, mfld_simps] lemma of_set_source (s : set α) : (local_equiv.of_set s).source = s := rfl
@[simp, mfld_simps] lemma of_set_target (s : set α) : (local_equiv.of_set s).target = s := rfl
@[simp, mfld_simps] lemma of_set_coe (s : set α) : (local_equiv.of_set s : α → α) = id := rfl
@[simp, mfld_simps] lemma of_set_symm (s : set α) :
(local_equiv.of_set s).symm = local_equiv.of_set s := rfl
/-- Composing two local equivs if the target of the first coincides with the source of the
second. -/
protected def trans' (e' : local_equiv β γ) (h : e.target = e'.source) :
local_equiv α γ :=
{ to_fun := e' ∘ e,
inv_fun := e.symm ∘ e'.symm,
source := e.source,
target := e'.target,
map_source' := λx hx, by simp [h.symm, hx],
map_target' := λy hy, by simp [h, hy],
left_inv' := λx hx, by simp [hx, h.symm],
right_inv' := λy hy, by simp [hy, h] }
/-- Composing two local equivs, by restricting to the maximal domain where their composition
is well defined. -/
protected def trans : local_equiv α γ :=
local_equiv.trans' (e.symm.restr (e'.source)).symm (e'.restr (e.target)) (inter_comm _ _)
@[simp, mfld_simps] lemma coe_trans : (e.trans e' : α → γ) = e' ∘ e := rfl
@[simp, mfld_simps] lemma coe_trans_symm : ((e.trans e').symm : γ → α) = e.symm ∘ e'.symm := rfl
lemma trans_symm_eq_symm_trans_symm : (e.trans e').symm = e'.symm.trans e.symm :=
by cases e; cases e'; refl
@[simp, mfld_simps] lemma trans_source : (e.trans e').source = e.source ∩ e ⁻¹' e'.source := rfl
lemma trans_source' : (e.trans e').source = e.source ∩ e ⁻¹' (e.target ∩ e'.source) :=
by mfld_set_tac
lemma trans_source'' : (e.trans e').source = e.symm '' (e.target ∩ e'.source) :=
by rw [e.trans_source', e.symm_image_target_inter_eq]
lemma image_trans_source : e '' (e.trans e').source = e.target ∩ e'.source :=
(e.symm.restr e'.source).symm.image_source_eq_target
@[simp, mfld_simps] lemma trans_target :
(e.trans e').target = e'.target ∩ e'.symm ⁻¹' e.target := rfl
lemma trans_target' : (e.trans e').target = e'.target ∩ e'.symm ⁻¹' (e'.source ∩ e.target) :=
trans_source' e'.symm e.symm
lemma trans_target'' : (e.trans e').target = e' '' (e'.source ∩ e.target) :=
trans_source'' e'.symm e.symm
lemma inv_image_trans_target : e'.symm '' (e.trans e').target = e'.source ∩ e.target :=
image_trans_source e'.symm e.symm
lemma trans_assoc (e'' : local_equiv γ δ) : (e.trans e').trans e'' = e.trans (e'.trans e'') :=
local_equiv.ext (λx, rfl) (λx, rfl) (by simp [trans_source, @preimage_comp α β γ, inter_assoc])
@[simp, mfld_simps] lemma trans_refl : e.trans (local_equiv.refl β) = e :=
local_equiv.ext (λx, rfl) (λx, rfl) (by simp [trans_source])
@[simp, mfld_simps] lemma refl_trans : (local_equiv.refl α).trans e = e :=
local_equiv.ext (λx, rfl) (λx, rfl) (by simp [trans_source, preimage_id])
lemma trans_refl_restr (s : set β) :
e.trans ((local_equiv.refl β).restr s) = e.restr (e ⁻¹' s) :=
local_equiv.ext (λx, rfl) (λx, rfl) (by simp [trans_source])
lemma trans_refl_restr' (s : set β) :
e.trans ((local_equiv.refl β).restr s) = e.restr (e.source ∩ e ⁻¹' s) :=
local_equiv.ext (λx, rfl) (λx, rfl) $ by { simp [trans_source], rw [← inter_assoc, inter_self] }
lemma restr_trans (s : set α) :
(e.restr s).trans e' = (e.trans e').restr s :=
local_equiv.ext (λx, rfl) (λx, rfl) $ by { simp [trans_source, inter_comm], rwa inter_assoc }
/-- `eq_on_source e e'` means that `e` and `e'` have the same source, and coincide there. Then `e`
and `e'` should really be considered the same local equiv. -/
def eq_on_source (e e' : local_equiv α β) : Prop :=
e.source = e'.source ∧ (e.source.eq_on e e')
/-- `eq_on_source` is an equivalence relation -/
instance eq_on_source_setoid : setoid (local_equiv α β) :=
{ r := eq_on_source,
iseqv := ⟨
λe, by simp [eq_on_source],
λe e' h, by { simp [eq_on_source, h.1.symm], exact λx hx, (h.2 hx).symm },
λe e' e'' h h', ⟨by rwa [← h'.1, ← h.1], λx hx, by { rw [← h'.2, h.2 hx], rwa ← h.1 }⟩⟩ }
lemma eq_on_source_refl : e ≈ e := setoid.refl _
/-- Two equivalent local equivs have the same source -/
lemma eq_on_source.source_eq {e e' : local_equiv α β} (h : e ≈ e') : e.source = e'.source :=
h.1
/-- Two equivalent local equivs coincide on the source -/
lemma eq_on_source.eq_on {e e' : local_equiv α β} (h : e ≈ e') : e.source.eq_on e e' :=
h.2
/-- Two equivalent local equivs have the same target -/
lemma eq_on_source.target_eq {e e' : local_equiv α β} (h : e ≈ e') : e.target = e'.target :=
by simp only [← image_source_eq_target, ← h.source_eq, h.2.image_eq]
/-- If two local equivs are equivalent, so are their inverses. -/
lemma eq_on_source.symm' {e e' : local_equiv α β} (h : e ≈ e') : e.symm ≈ e'.symm :=
begin
refine ⟨h.target_eq, eq_on_of_left_inv_on_of_right_inv_on e.left_inv_on _ _⟩;
simp only [symm_source, h.target_eq, h.source_eq, e'.symm_maps_to],
exact e'.right_inv_on.congr_right e'.symm_maps_to (h.source_eq ▸ h.eq_on.symm),
end
/-- Two equivalent local equivs have coinciding inverses on the target -/
lemma eq_on_source.symm_eq_on {e e' : local_equiv α β} (h : e ≈ e') :
eq_on e.symm e'.symm e.target :=
h.symm'.eq_on
/-- Composition of local equivs respects equivalence -/
lemma eq_on_source.trans' {e e' : local_equiv α β} {f f' : local_equiv β γ}
(he : e ≈ e') (hf : f ≈ f') : e.trans f ≈ e'.trans f' :=
begin
split,
{ rw [trans_source'', trans_source'', ← he.target_eq, ← hf.1],
exact (he.symm'.eq_on.mono $ inter_subset_left _ _).image_eq },
{ assume x hx,
rw trans_source at hx,
simp [(he.2 hx.1).symm, hf.2 hx.2] }
end
/-- Restriction of local equivs respects equivalence -/
lemma eq_on_source.restr {e e' : local_equiv α β} (he : e ≈ e') (s : set α) :
e.restr s ≈ e'.restr s :=
begin
split,
{ simp [he.1] },
{ assume x hx,
simp only [mem_inter_eq, restr_source] at hx,
exact he.2 hx.1 }
end
/-- Preimages are respected by equivalence -/
lemma eq_on_source.source_inter_preimage_eq {e e' : local_equiv α β} (he : e ≈ e') (s : set β) :
e.source ∩ e ⁻¹' s = e'.source ∩ e' ⁻¹' s :=
by rw [he.eq_on.inter_preimage_eq, he.source_eq]
/-- Composition of a local equiv and its inverse is equivalent to the restriction of the identity
to the source -/
lemma trans_self_symm :
e.trans e.symm ≈ local_equiv.of_set e.source :=
begin
have A : (e.trans e.symm).source = e.source, by mfld_set_tac,
refine ⟨by simp [A], λx hx, _⟩,
rw A at hx,
simp only [hx] with mfld_simps
end
/-- Composition of the inverse of a local equiv and this local equiv is equivalent to the
restriction of the identity to the target -/
lemma trans_symm_self :
e.symm.trans e ≈ local_equiv.of_set e.target :=
trans_self_symm (e.symm)
/-- Two equivalent local equivs are equal when the source and target are univ -/
lemma eq_of_eq_on_source_univ (e e' : local_equiv α β) (h : e ≈ e')
(s : e.source = univ) (t : e.target = univ) : e = e' :=
begin
apply local_equiv.ext (λx, _) (λx, _) h.1,
{ apply h.2,
rw s,
exact mem_univ _ },
{ apply h.symm'.2,
rw [symm_source, t],
exact mem_univ _ }
end
section prod
/-- The product of two local equivs, as a local equiv on the product. -/
def prod (e : local_equiv α β) (e' : local_equiv γ δ) : local_equiv (α × γ) (β × δ) :=
{ source := e.source ×ˢ e'.source,
target := e.target ×ˢ e'.target,
to_fun := λp, (e p.1, e' p.2),
inv_fun := λp, (e.symm p.1, e'.symm p.2),
map_source' := λp hp, by { simp at hp, simp [hp] },
map_target' := λp hp, by { simp at hp, simp [map_target, hp] },
left_inv' := λp hp, by { simp at hp, simp [hp] },
right_inv' := λp hp, by { simp at hp, simp [hp] } }
@[simp, mfld_simps] lemma prod_source (e : local_equiv α β) (e' : local_equiv γ δ) :
(e.prod e').source = e.source ×ˢ e'.source := rfl
@[simp, mfld_simps] lemma prod_target (e : local_equiv α β) (e' : local_equiv γ δ) :
(e.prod e').target = e.target ×ˢ e'.target := rfl
@[simp, mfld_simps] lemma prod_coe (e : local_equiv α β) (e' : local_equiv γ δ) :
((e.prod e') : α × γ → β × δ) = (λp, (e p.1, e' p.2)) := rfl
lemma prod_coe_symm (e : local_equiv α β) (e' : local_equiv γ δ) :
((e.prod e').symm : β × δ → α × γ) = (λp, (e.symm p.1, e'.symm p.2)) := rfl
@[simp, mfld_simps] lemma prod_symm (e : local_equiv α β) (e' : local_equiv γ δ) :
(e.prod e').symm = (e.symm.prod e'.symm) :=
by ext x; simp [prod_coe_symm]
@[simp, mfld_simps] lemma prod_trans {η : Type*} {ε : Type*}
(e : local_equiv α β) (f : local_equiv β γ) (e' : local_equiv δ η) (f' : local_equiv η ε) :
(e.prod e').trans (f.prod f') = (e.trans f).prod (e'.trans f') :=
by ext x; simp [ext_iff]; tauto
end prod
/-- Combine two `local_equiv`s using `set.piecewise`. The source of the new `local_equiv` is
`s.ite e.source e'.source = e.source ∩ s ∪ e'.source \ s`, and similarly for target. The function
sends `e.source ∩ s` to `e.target ∩ t` using `e` and `e'.source \ s` to `e'.target \ t` using `e'`,
and similarly for the inverse function. The definition assumes `e.is_image s t` and
`e'.is_image s t`. -/
@[simps] def piecewise (e e' : local_equiv α β) (s : set α) (t : set β)
[∀ x, decidable (x ∈ s)] [∀ y, decidable (y ∈ t)] (H : e.is_image s t) (H' : e'.is_image s t) :
local_equiv α β :=
{ to_fun := s.piecewise e e',
inv_fun := t.piecewise e.symm e'.symm,
source := s.ite e.source e'.source,
target := t.ite e.target e'.target,
map_source' := H.maps_to.piecewise_ite H'.compl.maps_to,
map_target' := H.symm.maps_to.piecewise_ite H'.symm.compl.maps_to,
left_inv' := H.left_inv_on_piecewise H',
right_inv' := H.symm.left_inv_on_piecewise H'.symm }
lemma symm_piecewise (e e' : local_equiv α β) {s : set α} {t : set β}
[∀ x, decidable (x ∈ s)] [∀ y, decidable (y ∈ t)]
(H : e.is_image s t) (H' : e'.is_image s t) :
(e.piecewise e' s t H H').symm = e.symm.piecewise e'.symm t s H.symm H'.symm :=
rfl
/-- Combine two `local_equiv`s with disjoint sources and disjoint targets. We reuse
`local_equiv.piecewise`, then override `source` and `target` to ensure better definitional
equalities. -/
@[simps] def disjoint_union (e e' : local_equiv α β) (hs : disjoint e.source e'.source)
(ht : disjoint e.target e'.target) [∀ x, decidable (x ∈ e.source)]
[∀ y, decidable (y ∈ e.target)] :
local_equiv α β :=
(e.piecewise e' e.source e.target e.is_image_source_target $
e'.is_image_source_target_of_disjoint _ hs.symm ht.symm).copy
_ rfl _ rfl (e.source ∪ e'.source) (ite_left _ _) (e.target ∪ e'.target) (ite_left _ _)
lemma disjoint_union_eq_piecewise (e e' : local_equiv α β) (hs : disjoint e.source e'.source)
(ht : disjoint e.target e'.target) [∀ x, decidable (x ∈ e.source)]
[∀ y, decidable (y ∈ e.target)] :
e.disjoint_union e' hs ht = e.piecewise e' e.source e.target e.is_image_source_target
(e'.is_image_source_target_of_disjoint _ hs.symm ht.symm) :=
copy_eq_self _ _ _ _ _ _ _ _ _
section pi
variables {ι : Type*} {αi βi : ι → Type*} (ei : Π i, local_equiv (αi i) (βi i))
/-- The product of a family of local equivs, as a local equiv on the pi type. -/
@[simps source target] protected def pi : local_equiv (Π i, αi i) (Π i, βi i) :=
{ to_fun := λ f i, ei i (f i),
inv_fun := λ f i, (ei i).symm (f i),
source := pi univ (λ i, (ei i).source),
target := pi univ (λ i, (ei i).target),
map_source' := λ f hf i hi, (ei i).map_source (hf i hi),
map_target' := λ f hf i hi, (ei i).map_target (hf i hi),
left_inv' := λ f hf, funext $ λ i, (ei i).left_inv (hf i trivial),
right_inv' := λ f hf, funext $ λ i, (ei i).right_inv (hf i trivial) }
attribute [mfld_simps] pi_source pi_target
@[simp, mfld_simps] lemma pi_coe : ⇑(local_equiv.pi ei) = λ (f : Π i, αi i) i, ei i (f i) := rfl
@[simp, mfld_simps] lemma pi_symm :
(local_equiv.pi ei).symm = local_equiv.pi (λ i, (ei i).symm) := rfl
end pi
end local_equiv
namespace set
-- All arguments are explicit to avoid missing information in the pretty printer output
/-- A bijection between two sets `s : set α` and `t : set β` provides a local equivalence
between `α` and `β`. -/
@[simps] noncomputable def bij_on.to_local_equiv [nonempty α] (f : α → β) (s : set α) (t : set β)
(hf : bij_on f s t) :
local_equiv α β :=
{ to_fun := f,
inv_fun := inv_fun_on f s,
source := s,
target := t,
map_source' := hf.maps_to,
map_target' := hf.surj_on.maps_to_inv_fun_on,
left_inv' := hf.inv_on_inv_fun_on.1,
right_inv' := hf.inv_on_inv_fun_on.2 }
/-- A map injective on a subset of its domain provides a local equivalence. -/
@[simp, mfld_simps] noncomputable def inj_on.to_local_equiv [nonempty α] (f : α → β) (s : set α)
(hf : inj_on f s) :
local_equiv α β :=
hf.bij_on_image.to_local_equiv f s (f '' s)
end set
namespace equiv
/- equivs give rise to local_equiv. We set up simp lemmas to reduce most properties of the local
equiv to that of the equiv. -/
variables (e : equiv α β) (e' : equiv β γ)
@[simp, mfld_simps] lemma to_local_equiv_coe : (e.to_local_equiv : α → β) = e := rfl
@[simp, mfld_simps] lemma to_local_equiv_symm_coe : (e.to_local_equiv.symm : β → α) = e.symm := rfl
@[simp, mfld_simps] lemma to_local_equiv_source : e.to_local_equiv.source = univ := rfl
@[simp, mfld_simps] lemma to_local_equiv_target : e.to_local_equiv.target = univ := rfl
@[simp, mfld_simps] lemma refl_to_local_equiv :
(equiv.refl α).to_local_equiv = local_equiv.refl α := rfl
@[simp, mfld_simps] lemma symm_to_local_equiv : e.symm.to_local_equiv = e.to_local_equiv.symm := rfl
@[simp, mfld_simps] lemma trans_to_local_equiv :
(e.trans e').to_local_equiv = e.to_local_equiv.trans e'.to_local_equiv :=
local_equiv.ext (λx, rfl) (λx, rfl) (by simp [local_equiv.trans_source, equiv.to_local_equiv])
end equiv
|
e2397454a7c8da881646808ef3ebac73e176b4be | 02005f45e00c7ecf2c8ca5db60251bd1e9c860b5 | /src/analysis/normed_space/basic.lean | 834cd60fac49298378a7b6ba3fcd1676f704cd22 | [
"Apache-2.0"
] | permissive | anthony2698/mathlib | 03cd69fe5c280b0916f6df2d07c614c8e1efe890 | 407615e05814e98b24b2ff322b14e8e3eb5e5d67 | refs/heads/master | 1,678,792,774,873 | 1,614,371,563,000 | 1,614,371,563,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 58,285 | lean | /-
Copyright (c) 2018 Patrick Massot. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Patrick Massot, Johannes Hölzl
-/
import topology.instances.nnreal
import topology.algebra.module
import topology.metric_space.antilipschitz
/-!
# Normed spaces
-/
variables {α : Type*} {β : Type*} {γ : Type*} {ι : Type*}
noncomputable theory
open filter metric
open_locale topological_space big_operators nnreal ennreal
/-- Auxiliary class, endowing a type `α` with a function `norm : α → ℝ`. This class is designed to
be extended in more interesting classes specifying the properties of the norm. -/
class has_norm (α : Type*) := (norm : α → ℝ)
export has_norm (norm)
notation `∥`:1024 e:1 `∥`:1 := norm e
/-- A normed group is an additive group endowed with a norm for which `dist x y = ∥x - y∥` defines
a metric space structure. -/
class normed_group (α : Type*) extends has_norm α, add_comm_group α, metric_space α :=
(dist_eq : ∀ x y, dist x y = norm (x - y))
/-- Construct a normed group from a translation invariant distance -/
def normed_group.of_add_dist [has_norm α] [add_comm_group α] [metric_space α]
(H1 : ∀ x:α, ∥x∥ = dist x 0)
(H2 : ∀ x y z : α, dist x y ≤ dist (x + z) (y + z)) : normed_group α :=
{ dist_eq := λ x y, begin
rw H1, apply le_antisymm,
{ rw [sub_eq_add_neg, ← add_right_neg y], apply H2 },
{ have := H2 (x-y) 0 y, rwa [sub_add_cancel, zero_add] at this }
end }
/-- Construct a normed group from a translation invariant distance -/
def normed_group.of_add_dist' [has_norm α] [add_comm_group α] [metric_space α]
(H1 : ∀ x:α, ∥x∥ = dist x 0)
(H2 : ∀ x y z : α, dist (x + z) (y + z) ≤ dist x y) : normed_group α :=
{ dist_eq := λ x y, begin
rw H1, apply le_antisymm,
{ have := H2 (x-y) 0 y, rwa [sub_add_cancel, zero_add] at this },
{ rw [sub_eq_add_neg, ← add_right_neg y], apply H2 }
end }
/-- A normed group can be built from a norm that satisfies algebraic properties. This is
formalised in this structure. -/
structure normed_group.core (α : Type*) [add_comm_group α] [has_norm α] : Prop :=
(norm_eq_zero_iff : ∀ x : α, ∥x∥ = 0 ↔ x = 0)
(triangle : ∀ x y : α, ∥x + y∥ ≤ ∥x∥ + ∥y∥)
(norm_neg : ∀ x : α, ∥-x∥ = ∥x∥)
/-- Constructing a normed group from core properties of a norm, i.e., registering the distance and
the metric space structure from the norm properties. -/
noncomputable def normed_group.of_core (α : Type*) [add_comm_group α] [has_norm α]
(C : normed_group.core α) : normed_group α :=
{ dist := λ x y, ∥x - y∥,
dist_eq := assume x y, by refl,
dist_self := assume x, (C.norm_eq_zero_iff (x - x)).mpr (show x - x = 0, by simp),
eq_of_dist_eq_zero := assume x y h, sub_eq_zero.mp $ (C.norm_eq_zero_iff (x - y)).mp h,
dist_triangle := assume x y z,
calc ∥x - z∥ = ∥x - y + (y - z)∥ : by rw sub_add_sub_cancel
... ≤ ∥x - y∥ + ∥y - z∥ : C.triangle _ _,
dist_comm := assume x y,
calc ∥x - y∥ = ∥ -(y - x)∥ : by simp
... = ∥y - x∥ : by { rw [C.norm_neg] } }
instance : normed_group ℝ :=
{ norm := λ x, abs x,
dist_eq := assume x y, rfl }
lemma real.norm_eq_abs (r : ℝ) : ∥r∥ = abs r := rfl
section normed_group
variables [normed_group α] [normed_group β]
lemma dist_eq_norm (g h : α) : dist g h = ∥g - h∥ :=
normed_group.dist_eq _ _
lemma dist_eq_norm' (g h : α) : dist g h = ∥h - g∥ :=
by rw [dist_comm, dist_eq_norm]
@[simp] lemma dist_zero_right (g : α) : dist g 0 = ∥g∥ :=
by rw [dist_eq_norm, sub_zero]
@[simp] lemma dist_zero_left : dist (0:α) = norm :=
funext $ λ g, by rw [dist_comm, dist_zero_right]
lemma tendsto_norm_cocompact_at_top [proper_space α] :
tendsto norm (cocompact α) at_top :=
by simpa only [dist_zero_right] using tendsto_dist_right_cocompact_at_top (0:α)
lemma norm_sub_rev (g h : α) : ∥g - h∥ = ∥h - g∥ :=
by simpa only [dist_eq_norm] using dist_comm g h
@[simp] lemma norm_neg (g : α) : ∥-g∥ = ∥g∥ :=
by simpa using norm_sub_rev 0 g
@[simp] lemma dist_add_left (g h₁ h₂ : α) : dist (g + h₁) (g + h₂) = dist h₁ h₂ :=
by simp [dist_eq_norm]
@[simp] lemma dist_add_right (g₁ g₂ h : α) : dist (g₁ + h) (g₂ + h) = dist g₁ g₂ :=
by simp [dist_eq_norm]
@[simp] lemma dist_neg_neg (g h : α) : dist (-g) (-h) = dist g h :=
by simp only [dist_eq_norm, neg_sub_neg, norm_sub_rev]
@[simp] lemma dist_sub_left (g h₁ h₂ : α) : dist (g - h₁) (g - h₂) = dist h₁ h₂ :=
by simp only [sub_eq_add_neg, dist_add_left, dist_neg_neg]
@[simp] lemma dist_sub_right (g₁ g₂ h : α) : dist (g₁ - h) (g₂ - h) = dist g₁ g₂ :=
by simpa only [sub_eq_add_neg] using dist_add_right _ _ _
/-- Triangle inequality for the norm. -/
lemma norm_add_le (g h : α) : ∥g + h∥ ≤ ∥g∥ + ∥h∥ :=
by simpa [dist_eq_norm] using dist_triangle g 0 (-h)
lemma norm_add_le_of_le {g₁ g₂ : α} {n₁ n₂ : ℝ} (H₁ : ∥g₁∥ ≤ n₁) (H₂ : ∥g₂∥ ≤ n₂) :
∥g₁ + g₂∥ ≤ n₁ + n₂ :=
le_trans (norm_add_le g₁ g₂) (add_le_add H₁ H₂)
lemma dist_add_add_le (g₁ g₂ h₁ h₂ : α) :
dist (g₁ + g₂) (h₁ + h₂) ≤ dist g₁ h₁ + dist g₂ h₂ :=
by simpa only [dist_add_left, dist_add_right] using dist_triangle (g₁ + g₂) (h₁ + g₂) (h₁ + h₂)
lemma dist_add_add_le_of_le {g₁ g₂ h₁ h₂ : α} {d₁ d₂ : ℝ}
(H₁ : dist g₁ h₁ ≤ d₁) (H₂ : dist g₂ h₂ ≤ d₂) :
dist (g₁ + g₂) (h₁ + h₂) ≤ d₁ + d₂ :=
le_trans (dist_add_add_le g₁ g₂ h₁ h₂) (add_le_add H₁ H₂)
lemma dist_sub_sub_le (g₁ g₂ h₁ h₂ : α) :
dist (g₁ - g₂) (h₁ - h₂) ≤ dist g₁ h₁ + dist g₂ h₂ :=
by simpa only [sub_eq_add_neg, dist_neg_neg] using dist_add_add_le g₁ (-g₂) h₁ (-h₂)
lemma dist_sub_sub_le_of_le {g₁ g₂ h₁ h₂ : α} {d₁ d₂ : ℝ}
(H₁ : dist g₁ h₁ ≤ d₁) (H₂ : dist g₂ h₂ ≤ d₂) :
dist (g₁ - g₂) (h₁ - h₂) ≤ d₁ + d₂ :=
le_trans (dist_sub_sub_le g₁ g₂ h₁ h₂) (add_le_add H₁ H₂)
lemma abs_dist_sub_le_dist_add_add (g₁ g₂ h₁ h₂ : α) :
abs (dist g₁ h₁ - dist g₂ h₂) ≤ dist (g₁ + g₂) (h₁ + h₂) :=
by simpa only [dist_add_left, dist_add_right, dist_comm h₂]
using abs_dist_sub_le (g₁ + g₂) (h₁ + h₂) (h₁ + g₂)
@[simp] lemma norm_nonneg (g : α) : 0 ≤ ∥g∥ :=
by { rw[←dist_zero_right], exact dist_nonneg }
@[simp] lemma norm_eq_zero {g : α} : ∥g∥ = 0 ↔ g = 0 :=
dist_zero_right g ▸ dist_eq_zero
@[simp] lemma norm_zero : ∥(0:α)∥ = 0 := norm_eq_zero.2 rfl
@[nontriviality] lemma norm_of_subsingleton [subsingleton α] (x : α) : ∥x∥ = 0 :=
by rw [subsingleton.elim x 0, norm_zero]
lemma norm_sum_le {β} : ∀(s : finset β) (f : β → α), ∥∑ a in s, f a∥ ≤ ∑ a in s, ∥ f a ∥ :=
finset.le_sum_of_subadditive norm norm_zero norm_add_le
lemma norm_sum_le_of_le {β} (s : finset β) {f : β → α} {n : β → ℝ} (h : ∀ b ∈ s, ∥f b∥ ≤ n b) :
∥∑ b in s, f b∥ ≤ ∑ b in s, n b :=
le_trans (norm_sum_le s f) (finset.sum_le_sum h)
@[simp] lemma norm_pos_iff {g : α} : 0 < ∥ g ∥ ↔ g ≠ 0 :=
dist_zero_right g ▸ dist_pos
@[simp] lemma norm_le_zero_iff {g : α} : ∥g∥ ≤ 0 ↔ g = 0 :=
by { rw[←dist_zero_right], exact dist_le_zero }
lemma eq_of_norm_sub_le_zero {g h : α} (a : ∥g - h∥ ≤ 0) : g = h :=
by rwa [← sub_eq_zero, ← norm_le_zero_iff]
lemma norm_sub_le (g h : α) : ∥g - h∥ ≤ ∥g∥ + ∥h∥ :=
by simpa [dist_eq_norm] using dist_triangle g 0 h
lemma norm_sub_le_of_le {g₁ g₂ : α} {n₁ n₂ : ℝ} (H₁ : ∥g₁∥ ≤ n₁) (H₂ : ∥g₂∥ ≤ n₂) :
∥g₁ - g₂∥ ≤ n₁ + n₂ :=
le_trans (norm_sub_le g₁ g₂) (add_le_add H₁ H₂)
lemma dist_le_norm_add_norm (g h : α) : dist g h ≤ ∥g∥ + ∥h∥ :=
by { rw dist_eq_norm, apply norm_sub_le }
lemma abs_norm_sub_norm_le (g h : α) : abs(∥g∥ - ∥h∥) ≤ ∥g - h∥ :=
by simpa [dist_eq_norm] using abs_dist_sub_le g h 0
lemma norm_sub_norm_le (g h : α) : ∥g∥ - ∥h∥ ≤ ∥g - h∥ :=
le_trans (le_abs_self _) (abs_norm_sub_norm_le g h)
lemma dist_norm_norm_le (g h : α) : dist ∥g∥ ∥h∥ ≤ ∥g - h∥ :=
abs_norm_sub_norm_le g h
lemma eq_of_norm_sub_eq_zero {u v : α} (h : ∥u - v∥ = 0) : u = v :=
begin
apply eq_of_dist_eq_zero,
rwa dist_eq_norm
end
lemma norm_sub_eq_zero_iff {u v : α} : ∥u - v∥ = 0 ↔ u = v :=
begin
convert dist_eq_zero,
rwa dist_eq_norm
end
lemma norm_le_insert (u v : α) : ∥v∥ ≤ ∥u∥ + ∥u - v∥ :=
calc ∥v∥ = ∥u - (u - v)∥ : by abel
... ≤ ∥u∥ + ∥u - v∥ : norm_sub_le u _
lemma ball_0_eq (ε : ℝ) : ball (0:α) ε = {x | ∥x∥ < ε} :=
set.ext $ assume a, by simp
lemma mem_ball_iff_norm {g h : α} {r : ℝ} :
h ∈ ball g r ↔ ∥h - g∥ < r :=
by rw [mem_ball, dist_eq_norm]
lemma mem_ball_iff_norm' {g h : α} {r : ℝ} :
h ∈ ball g r ↔ ∥g - h∥ < r :=
by rw [mem_ball', dist_eq_norm]
lemma mem_closed_ball_iff_norm {g h : α} {r : ℝ} :
h ∈ closed_ball g r ↔ ∥h - g∥ ≤ r :=
by rw [mem_closed_ball, dist_eq_norm]
lemma mem_closed_ball_iff_norm' {g h : α} {r : ℝ} :
h ∈ closed_ball g r ↔ ∥g - h∥ ≤ r :=
by rw [mem_closed_ball', dist_eq_norm]
lemma norm_le_of_mem_closed_ball {g h : α} {r : ℝ} (H : h ∈ closed_ball g r) :
∥h∥ ≤ ∥g∥ + r :=
calc
∥h∥ = ∥g + (h - g)∥ : by rw [add_sub_cancel'_right]
... ≤ ∥g∥ + ∥h - g∥ : norm_add_le _ _
... ≤ ∥g∥ + r : by { apply add_le_add_left, rw ← dist_eq_norm, exact H }
lemma norm_lt_of_mem_ball {g h : α} {r : ℝ} (H : h ∈ ball g r) :
∥h∥ < ∥g∥ + r :=
calc
∥h∥ = ∥g + (h - g)∥ : by rw [add_sub_cancel'_right]
... ≤ ∥g∥ + ∥h - g∥ : norm_add_le _ _
... < ∥g∥ + r : by { apply add_lt_add_left, rw ← dist_eq_norm, exact H }
@[simp] lemma mem_sphere_iff_norm (v w : α) (r : ℝ) : w ∈ sphere v r ↔ ∥w - v∥ = r :=
by simp [dist_eq_norm]
@[simp] lemma mem_sphere_zero_iff_norm {w : α} {r : ℝ} : w ∈ sphere (0:α) r ↔ ∥w∥ = r :=
by simp [dist_eq_norm]
@[simp] lemma norm_eq_of_mem_sphere {r : ℝ} (x : sphere (0:α) r) : ∥(x:α)∥ = r :=
mem_sphere_zero_iff_norm.mp x.2
lemma nonzero_of_mem_sphere {r : ℝ} (hr : 0 < r) (x : sphere (0:α) r) : (x:α) ≠ 0 :=
by rwa [← norm_pos_iff, norm_eq_of_mem_sphere]
lemma nonzero_of_mem_unit_sphere (x : sphere (0:α) 1) : (x:α) ≠ 0 :=
by { apply nonzero_of_mem_sphere, norm_num }
/-- We equip the sphere, in a normed group, with a formal operation of negation, namely the
antipodal map. -/
instance {r : ℝ} : has_neg (sphere (0:α) r) :=
{ neg := λ w, ⟨-↑w, by simp⟩ }
@[simp] lemma coe_neg_sphere {r : ℝ} (v : sphere (0:α) r) :
(((-v) : sphere _ _) : α) = - (v:α) :=
rfl
theorem normed_group.tendsto_nhds_zero {f : γ → α} {l : filter γ} :
tendsto f l (𝓝 0) ↔ ∀ ε > 0, ∀ᶠ x in l, ∥ f x ∥ < ε :=
metric.tendsto_nhds.trans $ by simp only [dist_zero_right]
lemma normed_group.tendsto_nhds_nhds {f : α → β} {x : α} {y : β} :
tendsto f (𝓝 x) (𝓝 y) ↔ ∀ ε > 0, ∃ δ > 0, ∀ x', ∥x' - x∥ < δ → ∥f x' - y∥ < ε :=
by simp_rw [metric.tendsto_nhds_nhds, dist_eq_norm]
/-- A homomorphism `f` of normed groups is Lipschitz, if there exists a constant `C` such that for
all `x`, one has `∥f x∥ ≤ C * ∥x∥`.
The analogous condition for a linear map of normed spaces is in `normed_space.operator_norm`. -/
lemma add_monoid_hom.lipschitz_of_bound (f :α →+ β) (C : ℝ) (h : ∀x, ∥f x∥ ≤ C * ∥x∥) :
lipschitz_with (nnreal.of_real C) f :=
lipschitz_with.of_dist_le' $ λ x y, by simpa only [dist_eq_norm, f.map_sub] using h (x - y)
lemma lipschitz_on_with_iff_norm_sub_le {f : α → β} {C : ℝ≥0} {s : set α} :
lipschitz_on_with C f s ↔ ∀ (x ∈ s) (y ∈ s), ∥f x - f y∥ ≤ C * ∥x - y∥ :=
by simp only [lipschitz_on_with_iff_dist_le_mul, dist_eq_norm]
lemma lipschitz_on_with.norm_sub_le {f : α → β} {C : ℝ≥0} {s : set α} (h : lipschitz_on_with C f s)
{x y : α} (x_in : x ∈ s) (y_in : y ∈ s) : ∥f x - f y∥ ≤ C * ∥x - y∥ :=
lipschitz_on_with_iff_norm_sub_le.mp h x x_in y y_in
/-- A homomorphism `f` of normed groups is continuous, if there exists a constant `C` such that for
all `x`, one has `∥f x∥ ≤ C * ∥x∥`.
The analogous condition for a linear map of normed spaces is in `normed_space.operator_norm`. -/
lemma add_monoid_hom.continuous_of_bound (f :α →+ β) (C : ℝ) (h : ∀x, ∥f x∥ ≤ C * ∥x∥) :
continuous f :=
(f.lipschitz_of_bound C h).continuous
section nnnorm
/-- Version of the norm taking values in nonnegative reals. -/
def nnnorm (a : α) : ℝ≥0 := ⟨norm a, norm_nonneg a⟩
@[simp, norm_cast] lemma coe_nnnorm (a : α) : (nnnorm a : ℝ) = norm a := rfl
lemma nndist_eq_nnnorm (a b : α) : nndist a b = nnnorm (a - b) := nnreal.eq $ dist_eq_norm _ _
@[simp] lemma nnnorm_eq_zero {a : α} : nnnorm a = 0 ↔ a = 0 :=
by simp only [nnreal.eq_iff.symm, nnreal.coe_zero, coe_nnnorm, norm_eq_zero]
@[simp] lemma nnnorm_zero : nnnorm (0 : α) = 0 :=
nnreal.eq norm_zero
lemma nnnorm_add_le (g h : α) : nnnorm (g + h) ≤ nnnorm g + nnnorm h :=
nnreal.coe_le_coe.2 $ norm_add_le g h
@[simp] lemma nnnorm_neg (g : α) : nnnorm (-g) = nnnorm g :=
nnreal.eq $ norm_neg g
lemma nndist_nnnorm_nnnorm_le (g h : α) : nndist (nnnorm g) (nnnorm h) ≤ nnnorm (g - h) :=
nnreal.coe_le_coe.2 $ dist_norm_norm_le g h
lemma of_real_norm_eq_coe_nnnorm (x : β) : ennreal.of_real ∥x∥ = (nnnorm x : ℝ≥0∞) :=
ennreal.of_real_eq_coe_nnreal _
lemma edist_eq_coe_nnnorm_sub (x y : β) : edist x y = (nnnorm (x - y) : ℝ≥0∞) :=
by rw [edist_dist, dist_eq_norm, of_real_norm_eq_coe_nnnorm]
lemma edist_eq_coe_nnnorm (x : β) : edist x 0 = (nnnorm x : ℝ≥0∞) :=
by rw [edist_eq_coe_nnnorm_sub, _root_.sub_zero]
lemma mem_emetric_ball_0_iff {x : β} {r : ℝ≥0∞} : x ∈ emetric.ball (0 : β) r ↔ ↑(nnnorm x) < r :=
by rw [emetric.mem_ball, edist_eq_coe_nnnorm]
lemma nndist_add_add_le (g₁ g₂ h₁ h₂ : α) :
nndist (g₁ + g₂) (h₁ + h₂) ≤ nndist g₁ h₁ + nndist g₂ h₂ :=
nnreal.coe_le_coe.2 $ dist_add_add_le g₁ g₂ h₁ h₂
lemma edist_add_add_le (g₁ g₂ h₁ h₂ : α) :
edist (g₁ + g₂) (h₁ + h₂) ≤ edist g₁ h₁ + edist g₂ h₂ :=
by { simp only [edist_nndist], norm_cast, apply nndist_add_add_le }
lemma nnnorm_sum_le {β} : ∀(s : finset β) (f : β → α),
nnnorm (∑ a in s, f a) ≤ ∑ a in s, nnnorm (f a) :=
finset.le_sum_of_subadditive nnnorm nnnorm_zero nnnorm_add_le
end nnnorm
lemma lipschitz_with.neg {α : Type*} [emetric_space α] {K : ℝ≥0} {f : α → β}
(hf : lipschitz_with K f) : lipschitz_with K (λ x, -f x) :=
λ x y, by simpa only [edist_dist, dist_neg_neg] using hf x y
lemma lipschitz_with.add {α : Type*} [emetric_space α] {Kf : ℝ≥0} {f : α → β}
(hf : lipschitz_with Kf f) {Kg : ℝ≥0} {g : α → β} (hg : lipschitz_with Kg g) :
lipschitz_with (Kf + Kg) (λ x, f x + g x) :=
λ x y,
calc edist (f x + g x) (f y + g y) ≤ edist (f x) (f y) + edist (g x) (g y) :
edist_add_add_le _ _ _ _
... ≤ Kf * edist x y + Kg * edist x y :
add_le_add (hf x y) (hg x y)
... = (Kf + Kg) * edist x y :
(add_mul _ _ _).symm
lemma lipschitz_with.sub {α : Type*} [emetric_space α] {Kf : ℝ≥0} {f : α → β}
(hf : lipschitz_with Kf f) {Kg : ℝ≥0} {g : α → β} (hg : lipschitz_with Kg g) :
lipschitz_with (Kf + Kg) (λ x, f x - g x) :=
by simpa only [sub_eq_add_neg] using hf.add hg.neg
lemma antilipschitz_with.add_lipschitz_with {α : Type*} [metric_space α] {Kf : ℝ≥0} {f : α → β}
(hf : antilipschitz_with Kf f) {Kg : ℝ≥0} {g : α → β} (hg : lipschitz_with Kg g)
(hK : Kg < Kf⁻¹) :
antilipschitz_with (Kf⁻¹ - Kg)⁻¹ (λ x, f x + g x) :=
begin
refine antilipschitz_with.of_le_mul_dist (λ x y, _),
rw [nnreal.coe_inv, ← div_eq_inv_mul],
rw le_div_iff (nnreal.coe_pos.2 $ nnreal.sub_pos.2 hK),
rw [mul_comm, nnreal.coe_sub (le_of_lt hK), sub_mul],
calc ↑Kf⁻¹ * dist x y - Kg * dist x y ≤ dist (f x) (f y) - dist (g x) (g y) :
sub_le_sub (hf.mul_le_dist x y) (hg.dist_le_mul x y)
... ≤ _ : le_trans (le_abs_self _) (abs_dist_sub_le_dist_add_add _ _ _ _)
end
/-- A subgroup of a normed group is also a normed group, with the restriction of the norm. -/
instance add_subgroup.normed_group {E : Type*} [normed_group E] (s : add_subgroup E) :
normed_group s :=
{ norm := λx, norm (x : E),
dist_eq := λx y, dist_eq_norm (x : E) (y : E) }
/-- If `x` is an element of a subgroup `s` of a normed group `E`, its norm in `s` is equal to its
norm in `E`. -/
@[simp] lemma coe_norm_subgroup {E : Type*} [normed_group E] {s : add_subgroup E} (x : s) :
∥x∥ = ∥(x:E)∥ :=
rfl
/-- A submodule of a normed group is also a normed group, with the restriction of the norm.
See note [implicit instance arguments]. -/
instance submodule.normed_group {𝕜 : Type*} {_ : ring 𝕜}
{E : Type*} [normed_group E] {_ : module 𝕜 E} (s : submodule 𝕜 E) : normed_group s :=
{ norm := λx, norm (x : E),
dist_eq := λx y, dist_eq_norm (x : E) (y : E) }
/-- If `x` is an element of a submodule `s` of a normed group `E`, its norm in `E` is equal to its
norm in `s`.
See note [implicit instance arguments]. -/
@[simp, norm_cast] lemma submodule.norm_coe {𝕜 : Type*} {_ : ring 𝕜}
{E : Type*} [normed_group E] {_ : module 𝕜 E} {s : submodule 𝕜 E} (x : s) :
∥(x : E)∥ = ∥x∥ :=
rfl
@[simp] lemma submodule.norm_mk {𝕜 : Type*} {_ : ring 𝕜}
{E : Type*} [normed_group E] {_ : module 𝕜 E} {s : submodule 𝕜 E} (x : E) (hx : x ∈ s) :
∥(⟨x, hx⟩ : s)∥ = ∥x∥ :=
rfl
/-- normed group instance on the product of two normed groups, using the sup norm. -/
instance prod.normed_group : normed_group (α × β) :=
{ norm := λx, max ∥x.1∥ ∥x.2∥,
dist_eq := assume (x y : α × β),
show max (dist x.1 y.1) (dist x.2 y.2) = (max ∥(x - y).1∥ ∥(x - y).2∥), by simp [dist_eq_norm] }
lemma prod.norm_def (x : α × β) : ∥x∥ = (max ∥x.1∥ ∥x.2∥) := rfl
lemma prod.nnnorm_def (x : α × β) : nnnorm x = max (nnnorm x.1) (nnnorm x.2) :=
by { have := x.norm_def, simp only [← coe_nnnorm] at this, exact_mod_cast this }
lemma norm_fst_le (x : α × β) : ∥x.1∥ ≤ ∥x∥ :=
le_max_left _ _
lemma norm_snd_le (x : α × β) : ∥x.2∥ ≤ ∥x∥ :=
le_max_right _ _
lemma norm_prod_le_iff {x : α × β} {r : ℝ} :
∥x∥ ≤ r ↔ ∥x.1∥ ≤ r ∧ ∥x.2∥ ≤ r :=
max_le_iff
/-- normed group instance on the product of finitely many normed groups, using the sup norm. -/
instance pi.normed_group {π : ι → Type*} [fintype ι] [∀i, normed_group (π i)] :
normed_group (Πi, π i) :=
{ norm := λf, ((finset.sup finset.univ (λ b, nnnorm (f b)) : ℝ≥0) : ℝ),
dist_eq := assume x y,
congr_arg (coe : ℝ≥0 → ℝ) $ congr_arg (finset.sup finset.univ) $ funext $ assume a,
show nndist (x a) (y a) = nnnorm (x a - y a), from nndist_eq_nnnorm _ _ }
/-- The norm of an element in a product space is `≤ r` if and only if the norm of each
component is. -/
lemma pi_norm_le_iff {π : ι → Type*} [fintype ι] [∀i, normed_group (π i)] {r : ℝ} (hr : 0 ≤ r)
{x : Πi, π i} : ∥x∥ ≤ r ↔ ∀i, ∥x i∥ ≤ r :=
by simp only [← dist_zero_right, dist_pi_le_iff hr, pi.zero_apply]
/-- The norm of an element in a product space is `< r` if and only if the norm of each
component is. -/
lemma pi_norm_lt_iff {π : ι → Type*} [fintype ι] [∀i, normed_group (π i)] {r : ℝ} (hr : 0 < r)
{x : Πi, π i} : ∥x∥ < r ↔ ∀i, ∥x i∥ < r :=
by simp only [← dist_zero_right, dist_pi_lt_iff hr, pi.zero_apply]
lemma norm_le_pi_norm {π : ι → Type*} [fintype ι] [∀i, normed_group (π i)] (x : Πi, π i) (i : ι) :
∥x i∥ ≤ ∥x∥ :=
(pi_norm_le_iff (norm_nonneg x)).1 (le_refl _) i
@[simp] lemma pi_norm_const [nonempty ι] [fintype ι] (a : α) : ∥(λ i : ι, a)∥ = ∥a∥ :=
by simpa only [← dist_zero_right] using dist_pi_const a 0
@[simp] lemma pi_nnnorm_const [nonempty ι] [fintype ι] (a : α) :
nnnorm (λ i : ι, a) = nnnorm a :=
nnreal.eq $ pi_norm_const a
lemma tendsto_iff_norm_tendsto_zero {f : ι → β} {a : filter ι} {b : β} :
tendsto f a (𝓝 b) ↔ tendsto (λ e, ∥f e - b∥) a (𝓝 0) :=
by { convert tendsto_iff_dist_tendsto_zero, simp [dist_eq_norm] }
lemma tendsto_zero_iff_norm_tendsto_zero {f : γ → β} {a : filter γ} :
tendsto f a (𝓝 0) ↔ tendsto (λ e, ∥f e∥) a (𝓝 0) :=
by { rw [tendsto_iff_norm_tendsto_zero], simp only [sub_zero] }
/-- Special case of the sandwich theorem: if the norm of `f` is eventually bounded by a real
function `g` which tends to `0`, then `f` tends to `0`.
In this pair of lemmas (`squeeze_zero_norm'` and `squeeze_zero_norm`), following a convention of
similar lemmas in `topology.metric_space.basic` and `topology.algebra.ordered`, the `'` version is
phrased using "eventually" and the non-`'` version is phrased absolutely. -/
lemma squeeze_zero_norm' {f : γ → α} {g : γ → ℝ} {t₀ : filter γ}
(h : ∀ᶠ n in t₀, ∥f n∥ ≤ g n)
(h' : tendsto g t₀ (𝓝 0)) : tendsto f t₀ (𝓝 0) :=
tendsto_zero_iff_norm_tendsto_zero.mpr
(squeeze_zero' (eventually_of_forall (λ n, norm_nonneg _)) h h')
/-- Special case of the sandwich theorem: if the norm of `f` is bounded by a real function `g` which
tends to `0`, then `f` tends to `0`. -/
lemma squeeze_zero_norm {f : γ → α} {g : γ → ℝ} {t₀ : filter γ}
(h : ∀ (n:γ), ∥f n∥ ≤ g n)
(h' : tendsto g t₀ (𝓝 0)) :
tendsto f t₀ (𝓝 0) :=
squeeze_zero_norm' (eventually_of_forall h) h'
lemma tendsto_norm_sub_self (x : α) : tendsto (λ g : α, ∥g - x∥) (𝓝 x) (𝓝 0) :=
by simpa [dist_eq_norm] using tendsto_id.dist (tendsto_const_nhds : tendsto (λ g, (x:α)) (𝓝 x) _)
lemma tendsto_norm {x : α} : tendsto (λg : α, ∥g∥) (𝓝 x) (𝓝 ∥x∥) :=
by simpa using tendsto_id.dist (tendsto_const_nhds : tendsto (λ g, (0:α)) _ _)
lemma tendsto_norm_zero : tendsto (λg : α, ∥g∥) (𝓝 0) (𝓝 0) :=
by simpa using tendsto_norm_sub_self (0:α)
lemma continuous_norm : continuous (λg:α, ∥g∥) :=
by simpa using continuous_id.dist (continuous_const : continuous (λ g, (0:α)))
lemma continuous_nnnorm : continuous (nnnorm : α → ℝ≥0) :=
continuous_subtype_mk _ continuous_norm
lemma lipschitz_with_one_norm : lipschitz_with 1 (norm : α → ℝ) :=
by simpa only [dist_zero_left] using lipschitz_with.dist_right (0 : α)
lemma uniform_continuous_norm : uniform_continuous (norm : α → ℝ) :=
lipschitz_with_one_norm.uniform_continuous
lemma uniform_continuous_nnnorm : uniform_continuous (nnnorm : α → ℝ≥0) :=
uniform_continuous_subtype_mk uniform_continuous_norm _
lemma tendsto_norm_nhds_within_zero : tendsto (norm : α → ℝ) (𝓝[{0}ᶜ] 0) (𝓝[set.Ioi 0] 0) :=
(continuous_norm.tendsto' (0 : α) 0 norm_zero).inf $ tendsto_principal_principal.2 $
λ x, norm_pos_iff.2
section
variables {l : filter γ} {f : γ → α} {a : α}
lemma filter.tendsto.norm {a : α} (h : tendsto f l (𝓝 a)) : tendsto (λ x, ∥f x∥) l (𝓝 ∥a∥) :=
tendsto_norm.comp h
lemma filter.tendsto.nnnorm (h : tendsto f l (𝓝 a)) :
tendsto (λ x, nnnorm (f x)) l (𝓝 (nnnorm a)) :=
tendsto.comp continuous_nnnorm.continuous_at h
end
section
variables [topological_space γ] {f : γ → α} {s : set γ} {a : γ} {b : α}
lemma continuous.norm (h : continuous f) : continuous (λ x, ∥f x∥) := continuous_norm.comp h
lemma continuous.nnnorm (h : continuous f) : continuous (λ x, nnnorm (f x)) :=
continuous_nnnorm.comp h
lemma continuous_at.norm (h : continuous_at f a) : continuous_at (λ x, ∥f x∥) a := h.norm
lemma continuous_at.nnnorm (h : continuous_at f a) : continuous_at (λ x, nnnorm (f x)) a := h.nnnorm
lemma continuous_within_at.norm (h : continuous_within_at f s a) :
continuous_within_at (λ x, ∥f x∥) s a :=
h.norm
lemma continuous_within_at.nnnorm (h : continuous_within_at f s a) :
continuous_within_at (λ x, nnnorm (f x)) s a :=
h.nnnorm
lemma continuous_on.norm (h : continuous_on f s) : continuous_on (λ x, ∥f x∥) s :=
λ x hx, (h x hx).norm
lemma continuous_on.nnnorm (h : continuous_on f s) : continuous_on (λ x, nnnorm (f x)) s :=
λ x hx, (h x hx).nnnorm
end
/-- If `∥y∥→∞`, then we can assume `y≠x` for any fixed `x`. -/
lemma eventually_ne_of_tendsto_norm_at_top {l : filter γ} {f : γ → α}
(h : tendsto (λ y, ∥f y∥) l at_top) (x : α) :
∀ᶠ y in l, f y ≠ x :=
begin
have : ∀ᶠ y in l, 1 + ∥x∥ ≤ ∥f y∥ := h (mem_at_top (1 + ∥x∥)),
refine this.mono (λ y hy hxy, _),
subst x,
exact not_le_of_lt zero_lt_one (add_le_iff_nonpos_left.1 hy)
end
/-- A normed group is a uniform additive group, i.e., addition and subtraction are uniformly
continuous. -/
@[priority 100] -- see Note [lower instance priority]
instance normed_uniform_group : uniform_add_group α :=
⟨(lipschitz_with.prod_fst.sub lipschitz_with.prod_snd).uniform_continuous⟩
@[priority 100] -- see Note [lower instance priority]
instance normed_top_monoid : has_continuous_add α :=
by apply_instance -- short-circuit type class inference
@[priority 100] -- see Note [lower instance priority]
instance normed_top_group : topological_add_group α :=
by apply_instance -- short-circuit type class inference
lemma nat.norm_cast_le [has_one α] : ∀ n : ℕ, ∥(n : α)∥ ≤ n * ∥(1 : α)∥
| 0 := by simp
| (n + 1) := by { rw [n.cast_succ, n.cast_succ, add_mul, one_mul],
exact norm_add_le_of_le (nat.norm_cast_le n) le_rfl }
end normed_group
section normed_ring
/-- A normed ring is a ring endowed with a norm which satisfies the inequality `∥x y∥ ≤ ∥x∥ ∥y∥`. -/
class normed_ring (α : Type*) extends has_norm α, ring α, metric_space α :=
(dist_eq : ∀ x y, dist x y = norm (x - y))
(norm_mul : ∀ a b, norm (a * b) ≤ norm a * norm b)
/-- A normed commutative ring is a commutative ring endowed with a norm which satisfies
the inequality `∥x y∥ ≤ ∥x∥ ∥y∥`. -/
class normed_comm_ring (α : Type*) extends normed_ring α :=
(mul_comm : ∀ x y : α, x * y = y * x)
/-- A mixin class with the axiom `∥1∥ = 1`. Many `normed_ring`s and all `normed_field`s satisfy this
axiom. -/
class norm_one_class (α : Type*) [has_norm α] [has_one α] : Prop :=
(norm_one : ∥(1:α)∥ = 1)
export norm_one_class (norm_one)
attribute [simp] norm_one
@[simp] lemma nnnorm_one [normed_group α] [has_one α] [norm_one_class α] : nnnorm (1:α) = 1 :=
nnreal.eq norm_one
@[priority 100] -- see Note [lower instance priority]
instance normed_comm_ring.to_comm_ring [β : normed_comm_ring α] : comm_ring α := { ..β }
@[priority 100] -- see Note [lower instance priority]
instance normed_ring.to_normed_group [β : normed_ring α] : normed_group α := { ..β }
instance prod.norm_one_class [normed_group α] [has_one α] [norm_one_class α]
[normed_group β] [has_one β] [norm_one_class β] :
norm_one_class (α × β) :=
⟨by simp [prod.norm_def]⟩
variables [normed_ring α]
lemma norm_mul_le (a b : α) : (∥a*b∥) ≤ (∥a∥) * (∥b∥) :=
normed_ring.norm_mul _ _
lemma list.norm_prod_le' : ∀ {l : list α}, l ≠ [] → ∥l.prod∥ ≤ (l.map norm).prod
| [] h := (h rfl).elim
| [a] _ := by simp
| (a :: b :: l) _ :=
begin
rw [list.map_cons, list.prod_cons, @list.prod_cons _ _ _ ∥a∥],
refine le_trans (norm_mul_le _ _) (mul_le_mul_of_nonneg_left _ (norm_nonneg _)),
exact list.norm_prod_le' (list.cons_ne_nil b l)
end
lemma list.norm_prod_le [norm_one_class α] : ∀ l : list α, ∥l.prod∥ ≤ (l.map norm).prod
| [] := by simp
| (a::l) := list.norm_prod_le' (list.cons_ne_nil a l)
lemma finset.norm_prod_le' {α : Type*} [normed_comm_ring α] (s : finset ι) (hs : s.nonempty)
(f : ι → α) :
∥∏ i in s, f i∥ ≤ ∏ i in s, ∥f i∥ :=
begin
rcases s with ⟨⟨l⟩, hl⟩,
have : l.map f ≠ [], by simpa using hs,
simpa using list.norm_prod_le' this
end
lemma finset.norm_prod_le {α : Type*} [normed_comm_ring α] [norm_one_class α] (s : finset ι)
(f : ι → α) :
∥∏ i in s, f i∥ ≤ ∏ i in s, ∥f i∥ :=
begin
rcases s with ⟨⟨l⟩, hl⟩,
simpa using (l.map f).norm_prod_le
end
/-- If `α` is a normed ring, then `∥a^n∥≤ ∥a∥^n` for `n > 0`. See also `norm_pow_le`. -/
lemma norm_pow_le' (a : α) : ∀ {n : ℕ}, 0 < n → ∥a^n∥ ≤ ∥a∥^n
| 1 h := by simp
| (n+2) h :=
le_trans (norm_mul_le a (a^(n+1)))
(mul_le_mul (le_refl _)
(norm_pow_le' (nat.succ_pos _)) (norm_nonneg _) (norm_nonneg _))
/-- If `α` is a normed ring with `∥1∥=1`, then `∥a^n∥≤ ∥a∥^n`. See also `norm_pow_le'`. -/
lemma norm_pow_le [norm_one_class α] (a : α) : ∀ (n : ℕ), ∥a^n∥ ≤ ∥a∥^n
| 0 := by simp
| (n+1) := norm_pow_le' a n.zero_lt_succ
lemma eventually_norm_pow_le (a : α) : ∀ᶠ (n:ℕ) in at_top, ∥a ^ n∥ ≤ ∥a∥ ^ n :=
eventually_at_top.mpr ⟨1, λ b h, norm_pow_le' a (nat.succ_le_iff.mp h)⟩
lemma units.norm_pos [nontrivial α] (x : units α) : 0 < ∥(x:α)∥ :=
norm_pos_iff.mpr (units.ne_zero x)
/-- In a normed ring, the left-multiplication `add_monoid_hom` is bounded. -/
lemma mul_left_bound (x : α) :
∀ (y:α), ∥add_monoid_hom.mul_left x y∥ ≤ ∥x∥ * ∥y∥ :=
norm_mul_le x
/-- In a normed ring, the right-multiplication `add_monoid_hom` is bounded. -/
lemma mul_right_bound (x : α) :
∀ (y:α), ∥add_monoid_hom.mul_right x y∥ ≤ ∥x∥ * ∥y∥ :=
λ y, by {rw mul_comm, convert norm_mul_le y x}
/-- Normed ring structure on the product of two normed rings, using the sup norm. -/
instance prod.normed_ring [normed_ring β] : normed_ring (α × β) :=
{ norm_mul := assume x y,
calc
∥x * y∥ = ∥(x.1*y.1, x.2*y.2)∥ : rfl
... = (max ∥x.1*y.1∥ ∥x.2*y.2∥) : rfl
... ≤ (max (∥x.1∥*∥y.1∥) (∥x.2∥*∥y.2∥)) :
max_le_max (norm_mul_le (x.1) (y.1)) (norm_mul_le (x.2) (y.2))
... = (max (∥x.1∥*∥y.1∥) (∥y.2∥*∥x.2∥)) : by simp[mul_comm]
... ≤ (max (∥x.1∥) (∥x.2∥)) * (max (∥y.2∥) (∥y.1∥)) :
by apply max_mul_mul_le_max_mul_max; simp [norm_nonneg]
... = (max (∥x.1∥) (∥x.2∥)) * (max (∥y.1∥) (∥y.2∥)) : by simp [max_comm]
... = (∥x∥*∥y∥) : rfl,
..prod.normed_group }
end normed_ring
@[priority 100] -- see Note [lower instance priority]
instance normed_ring_top_monoid [normed_ring α] : has_continuous_mul α :=
⟨ continuous_iff_continuous_at.2 $ λ x, tendsto_iff_norm_tendsto_zero.2 $
begin
have : ∀ e : α × α, ∥e.1 * e.2 - x.1 * x.2∥ ≤ ∥e.1∥ * ∥e.2 - x.2∥ + ∥e.1 - x.1∥ * ∥x.2∥,
{ intro e,
calc ∥e.1 * e.2 - x.1 * x.2∥ ≤ ∥e.1 * (e.2 - x.2) + (e.1 - x.1) * x.2∥ :
by rw [mul_sub, sub_mul, sub_add_sub_cancel]
... ≤ ∥e.1∥ * ∥e.2 - x.2∥ + ∥e.1 - x.1∥ * ∥x.2∥ :
norm_add_le_of_le (norm_mul_le _ _) (norm_mul_le _ _) },
refine squeeze_zero (λ e, norm_nonneg _) this _,
convert ((continuous_fst.tendsto x).norm.mul ((continuous_snd.tendsto x).sub
tendsto_const_nhds).norm).add
(((continuous_fst.tendsto x).sub tendsto_const_nhds).norm.mul _),
show tendsto _ _ _, from tendsto_const_nhds,
simp
end ⟩
/-- A normed ring is a topological ring. -/
@[priority 100] -- see Note [lower instance priority]
instance normed_top_ring [normed_ring α] : topological_ring α :=
⟨ continuous_iff_continuous_at.2 $ λ x, tendsto_iff_norm_tendsto_zero.2 $
have ∀ e : α, -e - -x = -(e - x), by intro; simp,
by simp only [this, norm_neg]; apply tendsto_norm_sub_self ⟩
/-- A normed field is a field with a norm satisfying ∥x y∥ = ∥x∥ ∥y∥. -/
class normed_field (α : Type*) extends has_norm α, field α, metric_space α :=
(dist_eq : ∀ x y, dist x y = norm (x - y))
(norm_mul' : ∀ a b, norm (a * b) = norm a * norm b)
/-- A nondiscrete normed field is a normed field in which there is an element of norm different from
`0` and `1`. This makes it possible to bring any element arbitrarily close to `0` by multiplication
by the powers of any element, and thus to relate algebra and topology. -/
class nondiscrete_normed_field (α : Type*) extends normed_field α :=
(non_trivial : ∃x:α, 1<∥x∥)
namespace normed_field
section normed_field
variables [normed_field α]
@[simp] lemma norm_mul (a b : α) : ∥a * b∥ = ∥a∥ * ∥b∥ :=
normed_field.norm_mul' a b
@[priority 100] -- see Note [lower instance priority]
instance to_normed_comm_ring : normed_comm_ring α :=
{ norm_mul := λ a b, (norm_mul a b).le, ..‹normed_field α› }
@[priority 900]
instance to_norm_one_class : norm_one_class α :=
⟨mul_left_cancel' (mt norm_eq_zero.1 (@one_ne_zero α _ _)) $
by rw [← norm_mul, mul_one, mul_one]⟩
@[simp] lemma nnnorm_mul (a b : α) : nnnorm (a * b) = nnnorm a * nnnorm b :=
nnreal.eq $ norm_mul a b
/-- `norm` as a `monoid_hom`. -/
@[simps] def norm_hom : monoid_with_zero_hom α ℝ := ⟨norm, norm_zero, norm_one, norm_mul⟩
/-- `nnnorm` as a `monoid_hom`. -/
@[simps] def nnnorm_hom : monoid_with_zero_hom α ℝ≥0 :=
⟨nnnorm, nnnorm_zero, nnnorm_one, nnnorm_mul⟩
@[simp] lemma norm_pow (a : α) : ∀ (n : ℕ), ∥a ^ n∥ = ∥a∥ ^ n :=
norm_hom.to_monoid_hom.map_pow a
@[simp] lemma nnnorm_pow (a : α) (n : ℕ) : nnnorm (a ^ n) = nnnorm a ^ n :=
nnnorm_hom.to_monoid_hom.map_pow a n
@[simp] lemma norm_prod (s : finset β) (f : β → α) :
∥∏ b in s, f b∥ = ∏ b in s, ∥f b∥ :=
(norm_hom.to_monoid_hom : α →* ℝ).map_prod f s
@[simp] lemma nnnorm_prod (s : finset β) (f : β → α) :
nnnorm (∏ b in s, f b) = ∏ b in s, nnnorm (f b) :=
(nnnorm_hom.to_monoid_hom : α →* ℝ≥0).map_prod f s
@[simp] lemma norm_div (a b : α) : ∥a / b∥ = ∥a∥ / ∥b∥ :=
(norm_hom : monoid_with_zero_hom α ℝ).map_div a b
@[simp] lemma nnnorm_div (a b : α) : nnnorm (a / b) = nnnorm a / nnnorm b :=
(nnnorm_hom : monoid_with_zero_hom α ℝ≥0).map_div a b
@[simp] lemma norm_inv (a : α) : ∥a⁻¹∥ = ∥a∥⁻¹ :=
(norm_hom : monoid_with_zero_hom α ℝ).map_inv' a
@[simp] lemma nnnorm_inv (a : α) : nnnorm (a⁻¹) = (nnnorm a)⁻¹ :=
nnreal.eq $ by simp
@[simp] lemma norm_fpow : ∀ (a : α) (n : ℤ), ∥a^n∥ = ∥a∥^n :=
(norm_hom : monoid_with_zero_hom α ℝ).map_fpow
@[simp] lemma nnnorm_fpow : ∀ (a : α) (n : ℤ), nnnorm (a^n) = (nnnorm a)^n :=
(nnnorm_hom : monoid_with_zero_hom α ℝ≥0).map_fpow
@[priority 100] -- see Note [lower instance priority]
instance : has_continuous_inv' α :=
begin
refine ⟨λ r r0, tendsto_iff_norm_tendsto_zero.2 _⟩,
have r0' : 0 < ∥r∥ := norm_pos_iff.2 r0,
rcases exists_between r0' with ⟨ε, ε0, εr⟩,
have : ∀ᶠ e in 𝓝 r, ∥e⁻¹ - r⁻¹∥ ≤ ∥r - e∥ / ∥r∥ / ε,
{ filter_upwards [(is_open_lt continuous_const continuous_norm).eventually_mem εr],
intros e he,
have e0 : e ≠ 0 := norm_pos_iff.1 (ε0.trans he),
calc ∥e⁻¹ - r⁻¹∥ = ∥r - e∥ / ∥r∥ / ∥e∥ : by field_simp [mul_comm]
... ≤ ∥r - e∥ / ∥r∥ / ε :
div_le_div_of_le_left (div_nonneg (norm_nonneg _) (norm_nonneg _)) ε0 he.le },
refine squeeze_zero' (eventually_of_forall $ λ _, norm_nonneg _) this _,
refine (continuous_const.sub continuous_id).norm.div_const.div_const.tendsto' _ _ _,
simp
end
end normed_field
variables (α) [nondiscrete_normed_field α]
lemma exists_one_lt_norm : ∃x : α, 1 < ∥x∥ := ‹nondiscrete_normed_field α›.non_trivial
lemma exists_norm_lt_one : ∃x : α, 0 < ∥x∥ ∧ ∥x∥ < 1 :=
begin
rcases exists_one_lt_norm α with ⟨y, hy⟩,
refine ⟨y⁻¹, _, _⟩,
{ simp only [inv_eq_zero, ne.def, norm_pos_iff],
rintro rfl,
rw norm_zero at hy,
exact lt_asymm zero_lt_one hy },
{ simp [inv_lt_one hy] }
end
lemma exists_lt_norm (r : ℝ) : ∃ x : α, r < ∥x∥ :=
let ⟨w, hw⟩ := exists_one_lt_norm α in
let ⟨n, hn⟩ := pow_unbounded_of_one_lt r hw in
⟨w^n, by rwa norm_pow⟩
lemma exists_norm_lt {r : ℝ} (hr : 0 < r) : ∃ x : α, 0 < ∥x∥ ∧ ∥x∥ < r :=
let ⟨w, hw⟩ := exists_one_lt_norm α in
let ⟨n, hle, hlt⟩ := exists_int_pow_near' hr hw in
⟨w^n, by { rw norm_fpow; exact fpow_pos_of_pos (lt_trans zero_lt_one hw) _},
by rwa norm_fpow⟩
variable {α}
@[instance]
lemma punctured_nhds_ne_bot (x : α) : ne_bot (𝓝[{x}ᶜ] x) :=
begin
rw [← mem_closure_iff_nhds_within_ne_bot, metric.mem_closure_iff],
rintros ε ε0,
rcases normed_field.exists_norm_lt α ε0 with ⟨b, hb0, hbε⟩,
refine ⟨x + b, mt (set.mem_singleton_iff.trans add_right_eq_self).1 $ norm_pos_iff.1 hb0, _⟩,
rwa [dist_comm, dist_eq_norm, add_sub_cancel'],
end
@[instance]
lemma nhds_within_is_unit_ne_bot : ne_bot (𝓝[{x : α | is_unit x}] 0) :=
by simpa only [is_unit_iff_ne_zero] using punctured_nhds_ne_bot (0:α)
end normed_field
instance : normed_field ℝ :=
{ norm_mul' := abs_mul,
.. real.normed_group }
instance : nondiscrete_normed_field ℝ :=
{ non_trivial := ⟨2, by { unfold norm, rw abs_of_nonneg; norm_num }⟩ }
namespace real
lemma norm_of_nonneg {x : ℝ} (hx : 0 ≤ x) : ∥x∥ = x :=
abs_of_nonneg hx
@[simp] lemma norm_coe_nat (n : ℕ) : ∥(n : ℝ)∥ = n := abs_of_nonneg n.cast_nonneg
@[simp] lemma nnnorm_coe_nat (n : ℕ) : nnnorm (n : ℝ) = n := nnreal.eq $ by simp
@[simp] lemma norm_two : ∥(2:ℝ)∥ = 2 := abs_of_pos (@zero_lt_two ℝ _ _)
@[simp] lemma nnnorm_two : nnnorm (2:ℝ) = 2 := nnreal.eq $ by simp
lemma nnnorm_of_nonneg {x : ℝ} (hx : 0 ≤ x) : nnnorm x = ⟨x, hx⟩ :=
nnreal.eq $ norm_of_nonneg hx
lemma ennnorm_eq_of_real {x : ℝ} (hx : 0 ≤ x) : (nnnorm x : ℝ≥0∞) = ennreal.of_real x :=
by { rw [← of_real_norm_eq_coe_nnnorm, norm_of_nonneg hx] }
end real
namespace nnreal
open_locale nnreal
@[simp] lemma norm_eq (x : ℝ≥0) : ∥(x : ℝ)∥ = x :=
by rw [real.norm_eq_abs, x.abs_eq]
@[simp] lemma nnnorm_eq (x : ℝ≥0) : nnnorm (x : ℝ) = x :=
nnreal.eq $ real.norm_of_nonneg x.2
end nnreal
@[simp] lemma norm_norm [normed_group α] (x : α) : ∥∥x∥∥ = ∥x∥ :=
real.norm_of_nonneg (norm_nonneg _)
@[simp] lemma nnnorm_norm [normed_group α] (a : α) : nnnorm ∥a∥ = nnnorm a :=
by simp only [nnnorm, norm_norm]
instance : normed_comm_ring ℤ :=
{ norm := λ n, ∥(n : ℝ)∥,
norm_mul := λ m n, le_of_eq $ by simp only [norm, int.cast_mul, abs_mul],
dist_eq := λ m n, by simp only [int.dist_eq, norm, int.cast_sub],
mul_comm := mul_comm }
@[norm_cast] lemma int.norm_cast_real (m : ℤ) : ∥(m : ℝ)∥ = ∥m∥ := rfl
instance : norm_one_class ℤ :=
⟨by simp [← int.norm_cast_real]⟩
instance : normed_field ℚ :=
{ norm := λ r, ∥(r : ℝ)∥,
norm_mul' := λ r₁ r₂, by simp only [norm, rat.cast_mul, abs_mul],
dist_eq := λ r₁ r₂, by simp only [rat.dist_eq, norm, rat.cast_sub] }
instance : nondiscrete_normed_field ℚ :=
{ non_trivial := ⟨2, by { unfold norm, rw abs_of_nonneg; norm_num }⟩ }
@[norm_cast, simp] lemma rat.norm_cast_real (r : ℚ) : ∥(r : ℝ)∥ = ∥r∥ := rfl
@[norm_cast, simp] lemma int.norm_cast_rat (m : ℤ) : ∥(m : ℚ)∥ = ∥m∥ :=
by rw [← rat.norm_cast_real, ← int.norm_cast_real]; congr' 1; norm_cast
section normed_space
section prio
set_option extends_priority 920
-- Here, we set a rather high priority for the instance `[normed_space α β] : semimodule α β`
-- to take precedence over `semiring.to_semimodule` as this leads to instance paths with better
-- unification properties.
-- see Note[vector space definition] for why we extend `semimodule`.
/-- A normed space over a normed field is a vector space endowed with a norm which satisfies the
equality `∥c • x∥ = ∥c∥ ∥x∥`. We require only `∥c • x∥ ≤ ∥c∥ ∥x∥` in the definition, then prove
`∥c • x∥ = ∥c∥ ∥x∥` in `norm_smul`. -/
class normed_space (α : Type*) (β : Type*) [normed_field α] [normed_group β]
extends semimodule α β :=
(norm_smul_le : ∀ (a:α) (b:β), ∥a • b∥ ≤ ∥a∥ * ∥b∥)
end prio
variables [normed_field α] [normed_group β]
instance normed_field.to_normed_space : normed_space α α :=
{ norm_smul_le := λ a b, le_of_eq (normed_field.norm_mul a b) }
lemma norm_smul [normed_space α β] (s : α) (x : β) : ∥s • x∥ = ∥s∥ * ∥x∥ :=
begin
classical,
by_cases h : s = 0,
{ simp [h] },
{ refine le_antisymm (normed_space.norm_smul_le s x) _,
calc ∥s∥ * ∥x∥ = ∥s∥ * ∥s⁻¹ • s • x∥ : by rw [inv_smul_smul' h]
... ≤ ∥s∥ * (∥s⁻¹∥ * ∥s • x∥) : _
... = ∥s • x∥ : _,
exact mul_le_mul_of_nonneg_left (normed_space.norm_smul_le _ _) (norm_nonneg _),
rw [normed_field.norm_inv, ← mul_assoc, mul_inv_cancel, one_mul],
rwa [ne.def, norm_eq_zero] }
end
@[simp] lemma abs_norm_eq_norm (z : β) : abs ∥z∥ = ∥z∥ :=
(abs_eq (norm_nonneg z)).mpr (or.inl rfl)
lemma dist_smul [normed_space α β] (s : α) (x y : β) : dist (s • x) (s • y) = ∥s∥ * dist x y :=
by simp only [dist_eq_norm, (norm_smul _ _).symm, smul_sub]
lemma nnnorm_smul [normed_space α β] (s : α) (x : β) : nnnorm (s • x) = nnnorm s * nnnorm x :=
nnreal.eq $ norm_smul s x
lemma nndist_smul [normed_space α β] (s : α) (x y : β) :
nndist (s • x) (s • y) = nnnorm s * nndist x y :=
nnreal.eq $ dist_smul s x y
lemma norm_smul_of_nonneg [normed_space ℝ β] {t : ℝ} (ht : 0 ≤ t) (x : β) : ∥t • x∥ = t * ∥x∥ :=
by rw [norm_smul, real.norm_eq_abs, abs_of_nonneg ht]
variables {E : Type*} {F : Type*}
[normed_group E] [normed_space α E] [normed_group F] [normed_space α F]
@[priority 100] -- see Note [lower instance priority]
instance normed_space.topological_vector_space : topological_vector_space α E :=
begin
refine { continuous_smul := continuous_iff_continuous_at.2 $
λ p, tendsto_iff_norm_tendsto_zero.2 _ },
refine squeeze_zero (λ _, norm_nonneg _) _ _,
{ exact λ q, ∥q.1 - p.1∥ * ∥q.2∥ + ∥p.1∥ * ∥q.2 - p.2∥ },
{ intro q,
rw [← sub_add_sub_cancel, ← norm_smul, ← norm_smul, smul_sub, sub_smul],
exact norm_add_le _ _ },
{ conv { congr, skip, skip, congr, rw [← zero_add (0:ℝ)], congr,
rw [← zero_mul ∥p.2∥], skip, rw [← mul_zero ∥p.1∥] },
exact ((tendsto_iff_norm_tendsto_zero.1 (continuous_fst.tendsto p)).mul
(continuous_snd.tendsto p).norm).add
(tendsto_const_nhds.mul (tendsto_iff_norm_tendsto_zero.1 (continuous_snd.tendsto p))) }
end
theorem closure_ball [normed_space ℝ E] (x : E) {r : ℝ} (hr : 0 < r) :
closure (ball x r) = closed_ball x r :=
begin
refine set.subset.antisymm closure_ball_subset_closed_ball (λ y hy, _),
have : continuous_within_at (λ c : ℝ, c • (y - x) + x) (set.Ico 0 1) 1 :=
((continuous_id.smul continuous_const).add continuous_const).continuous_within_at,
convert this.mem_closure _ _,
{ rw [one_smul, sub_add_cancel] },
{ simp [closure_Ico (@zero_lt_one ℝ _ _), zero_le_one] },
{ rintros c ⟨hc0, hc1⟩,
rw [set.mem_preimage, mem_ball, dist_eq_norm, add_sub_cancel, norm_smul, real.norm_eq_abs,
abs_of_nonneg hc0, mul_comm, ← mul_one r],
rw [mem_closed_ball, dist_eq_norm] at hy,
apply mul_lt_mul'; assumption }
end
theorem frontier_ball [normed_space ℝ E] (x : E) {r : ℝ} (hr : 0 < r) :
frontier (ball x r) = sphere x r :=
begin
rw [frontier, closure_ball x hr, is_open_ball.interior_eq],
ext x, exact (@eq_iff_le_not_lt ℝ _ _ _).symm
end
theorem interior_closed_ball [normed_space ℝ E] (x : E) {r : ℝ} (hr : 0 < r) :
interior (closed_ball x r) = ball x r :=
begin
refine set.subset.antisymm _ ball_subset_interior_closed_ball,
intros y hy,
rcases le_iff_lt_or_eq.1 (mem_closed_ball.1 $ interior_subset hy) with hr|rfl, { exact hr },
set f : ℝ → E := λ c : ℝ, c • (y - x) + x,
suffices : f ⁻¹' closed_ball x (dist y x) ⊆ set.Icc (-1) 1,
{ have hfc : continuous f := (continuous_id.smul continuous_const).add continuous_const,
have hf1 : (1:ℝ) ∈ f ⁻¹' (interior (closed_ball x $ dist y x)), by simpa [f],
have h1 : (1:ℝ) ∈ interior (set.Icc (-1:ℝ) 1) :=
interior_mono this (preimage_interior_subset_interior_preimage hfc hf1),
contrapose h1,
simp },
intros c hc,
rw [set.mem_Icc, ← abs_le, ← real.norm_eq_abs, ← mul_le_mul_right hr],
simpa [f, dist_eq_norm, norm_smul] using hc
end
theorem interior_closed_ball' [normed_space ℝ E] [nontrivial E] (x : E) (r : ℝ) :
interior (closed_ball x r) = ball x r :=
begin
rcases lt_trichotomy r 0 with hr|rfl|hr,
{ simp [closed_ball_eq_empty_iff_neg.2 hr, ball_eq_empty_iff_nonpos.2 (le_of_lt hr)] },
{ suffices : x ∉ interior {x},
{ rw [ball_zero, closed_ball_zero, ← set.subset_empty_iff],
intros y hy,
obtain rfl : y = x := set.mem_singleton_iff.1 (interior_subset hy),
exact this hy },
rw [← set.mem_compl_iff, ← closure_compl],
rcases exists_ne (0 : E) with ⟨z, hz⟩,
suffices : (λ c : ℝ, x + c • z) 0 ∈ closure ({x}ᶜ : set E),
by simpa only [zero_smul, add_zero] using this,
have : (0:ℝ) ∈ closure (set.Ioi (0:ℝ)), by simp [closure_Ioi],
refine (continuous_const.add (continuous_id.smul
continuous_const)).continuous_within_at.mem_closure this _,
intros c hc,
simp [smul_eq_zero, hz, ne_of_gt hc] },
{ exact interior_closed_ball x hr }
end
theorem frontier_closed_ball [normed_space ℝ E] (x : E) {r : ℝ} (hr : 0 < r) :
frontier (closed_ball x r) = sphere x r :=
by rw [frontier, closure_closed_ball, interior_closed_ball x hr,
closed_ball_diff_ball]
theorem frontier_closed_ball' [normed_space ℝ E] [nontrivial E] (x : E) (r : ℝ) :
frontier (closed_ball x r) = sphere x r :=
by rw [frontier, closure_closed_ball, interior_closed_ball' x r, closed_ball_diff_ball]
variables (α)
lemma ne_neg_of_mem_sphere [char_zero α] {r : ℝ} (hr : 0 < r) (x : sphere (0:E) r) : x ≠ - x :=
λ h, nonzero_of_mem_sphere hr x (eq_zero_of_eq_neg α (by { conv_lhs {rw h}, simp }))
lemma ne_neg_of_mem_unit_sphere [char_zero α] (x : sphere (0:E) 1) : x ≠ - x :=
ne_neg_of_mem_sphere α (by norm_num) x
variables {α}
open normed_field
/-- If there is a scalar `c` with `∥c∥>1`, then any element can be moved by scalar multiplication to
any shell of width `∥c∥`. Also recap information on the norm of the rescaling element that shows
up in applications. -/
lemma rescale_to_shell {c : α} (hc : 1 < ∥c∥) {ε : ℝ} (εpos : 0 < ε) {x : E} (hx : x ≠ 0) :
∃d:α, d ≠ 0 ∧ ∥d • x∥ < ε ∧ (ε/∥c∥ ≤ ∥d • x∥) ∧ (∥d∥⁻¹ ≤ ε⁻¹ * ∥c∥ * ∥x∥) :=
begin
have xεpos : 0 < ∥x∥/ε := div_pos (norm_pos_iff.2 hx) εpos,
rcases exists_int_pow_near xεpos hc with ⟨n, hn⟩,
have cpos : 0 < ∥c∥ := lt_trans (zero_lt_one : (0 :ℝ) < 1) hc,
have cnpos : 0 < ∥c^(n+1)∥ := by { rw norm_fpow, exact lt_trans xεpos hn.2 },
refine ⟨(c^(n+1))⁻¹, _, _, _, _⟩,
show (c ^ (n + 1))⁻¹ ≠ 0,
by rwa [ne.def, inv_eq_zero, ← ne.def, ← norm_pos_iff],
show ∥(c ^ (n + 1))⁻¹ • x∥ < ε,
{ rw [norm_smul, norm_inv, ← div_eq_inv_mul, div_lt_iff cnpos, mul_comm, norm_fpow],
exact (div_lt_iff εpos).1 (hn.2) },
show ε / ∥c∥ ≤ ∥(c ^ (n + 1))⁻¹ • x∥,
{ rw [div_le_iff cpos, norm_smul, norm_inv, norm_fpow, fpow_add (ne_of_gt cpos),
fpow_one, mul_inv_rev', mul_comm, ← mul_assoc, ← mul_assoc, mul_inv_cancel (ne_of_gt cpos),
one_mul, ← div_eq_inv_mul, le_div_iff (fpow_pos_of_pos cpos _), mul_comm],
exact (le_div_iff εpos).1 hn.1 },
show ∥(c ^ (n + 1))⁻¹∥⁻¹ ≤ ε⁻¹ * ∥c∥ * ∥x∥,
{ have : ε⁻¹ * ∥c∥ * ∥x∥ = ε⁻¹ * ∥x∥ * ∥c∥, by ring,
rw [norm_inv, inv_inv', norm_fpow, fpow_add (ne_of_gt cpos), fpow_one, this, ← div_eq_inv_mul],
exact mul_le_mul_of_nonneg_right hn.1 (norm_nonneg _) }
end
/-- The product of two normed spaces is a normed space, with the sup norm. -/
instance : normed_space α (E × F) :=
{ norm_smul_le := λ s x, le_of_eq $ by simp [prod.norm_def, norm_smul, mul_max_of_nonneg],
-- TODO: without the next two lines Lean unfolds `≤` to `real.le`
add_smul := λ r x y, prod.ext (add_smul _ _ _) (add_smul _ _ _),
smul_add := λ r x y, prod.ext (smul_add _ _ _) (smul_add _ _ _),
..prod.normed_group,
..prod.semimodule }
/-- The product of finitely many normed spaces is a normed space, with the sup norm. -/
instance pi.normed_space {E : ι → Type*} [fintype ι] [∀i, normed_group (E i)]
[∀i, normed_space α (E i)] : normed_space α (Πi, E i) :=
{ norm_smul_le := λ a f, le_of_eq $
show (↑(finset.sup finset.univ (λ (b : ι), nnnorm (a • f b))) : ℝ) =
nnnorm a * ↑(finset.sup finset.univ (λ (b : ι), nnnorm (f b))),
by simp only [(nnreal.coe_mul _ _).symm, nnreal.mul_finset_sup, nnnorm_smul] }
/-- A subspace of a normed space is also a normed space, with the restriction of the norm. -/
instance submodule.normed_space {𝕜 : Type*} [normed_field 𝕜]
{E : Type*} [normed_group E] [normed_space 𝕜 E] (s : submodule 𝕜 E) : normed_space 𝕜 s :=
{ norm_smul_le := λc x, le_of_eq $ norm_smul c (x : E) }
end normed_space
section normed_algebra
/-- A normed algebra `𝕜'` over `𝕜` is an algebra endowed with a norm for which the embedding of
`𝕜` in `𝕜'` is an isometry. -/
class normed_algebra (𝕜 : Type*) (𝕜' : Type*) [normed_field 𝕜] [normed_ring 𝕜']
extends algebra 𝕜 𝕜' :=
(norm_algebra_map_eq : ∀x:𝕜, ∥algebra_map 𝕜 𝕜' x∥ = ∥x∥)
@[simp] lemma norm_algebra_map_eq {𝕜 : Type*} (𝕜' : Type*) [normed_field 𝕜] [normed_ring 𝕜']
[h : normed_algebra 𝕜 𝕜'] (x : 𝕜) : ∥algebra_map 𝕜 𝕜' x∥ = ∥x∥ :=
normed_algebra.norm_algebra_map_eq _
variables (𝕜 : Type*) [normed_field 𝕜]
variables (𝕜' : Type*) [normed_ring 𝕜']
@[priority 100]
instance normed_algebra.to_normed_space [h : normed_algebra 𝕜 𝕜'] : normed_space 𝕜 𝕜' :=
{ norm_smul_le := λ s x, calc
∥s • x∥ = ∥((algebra_map 𝕜 𝕜') s) * x∥ : by { rw h.smul_def', refl }
... ≤ ∥algebra_map 𝕜 𝕜' s∥ * ∥x∥ : normed_ring.norm_mul _ _
... = ∥s∥ * ∥x∥ : by rw norm_algebra_map_eq,
..h }
instance normed_algebra.id : normed_algebra 𝕜 𝕜 :=
{ norm_algebra_map_eq := by simp,
.. algebra.id 𝕜}
variables (𝕜') [normed_algebra 𝕜 𝕜']
include 𝕜
lemma normed_algebra.norm_one : ∥(1:𝕜')∥ = 1 :=
by simpa using (norm_algebra_map_eq 𝕜' (1:𝕜))
lemma normed_algebra.norm_one_class : norm_one_class 𝕜' :=
⟨normed_algebra.norm_one 𝕜 𝕜'⟩
lemma normed_algebra.zero_ne_one : (0:𝕜') ≠ 1 :=
begin
refine (norm_pos_iff.mp _).symm,
rw normed_algebra.norm_one 𝕜 𝕜', norm_num,
end
lemma normed_algebra.nontrivial : nontrivial 𝕜' :=
⟨⟨0, 1, normed_algebra.zero_ne_one 𝕜 𝕜'⟩⟩
end normed_algebra
section restrict_scalars
variables (𝕜 : Type*) (𝕜' : Type*) [normed_field 𝕜] [normed_field 𝕜'] [normed_algebra 𝕜 𝕜']
(E : Type*) [normed_group E] [normed_space 𝕜' E]
/-- Warning: This declaration should be used judiciously.
Please consider using `is_scalar_tower` instead.
`𝕜`-normed space structure induced by a `𝕜'`-normed space structure when `𝕜'` is a
normed algebra over `𝕜`. Not registered as an instance as `𝕜'` can not be inferred.
The type synonym `semimodule.restrict_scalars 𝕜 𝕜' E` will be endowed with this instance by default.
-/
def normed_space.restrict_scalars : normed_space 𝕜 E :=
{ norm_smul_le := λc x, le_of_eq $ begin
change ∥(algebra_map 𝕜 𝕜' c) • x∥ = ∥c∥ * ∥x∥,
simp [norm_smul]
end,
..restrict_scalars.semimodule 𝕜 𝕜' E }
instance {𝕜 : Type*} {𝕜' : Type*} {E : Type*} [I : normed_group E] :
normed_group (restrict_scalars 𝕜 𝕜' E) := I
instance semimodule.restrict_scalars.normed_space_orig {𝕜 : Type*} {𝕜' : Type*} {E : Type*}
[normed_field 𝕜'] [normed_group E] [I : normed_space 𝕜' E] :
normed_space 𝕜' (restrict_scalars 𝕜 𝕜' E) := I
instance : normed_space 𝕜 (restrict_scalars 𝕜 𝕜' E) :=
(normed_space.restrict_scalars 𝕜 𝕜' E : normed_space 𝕜 E)
end restrict_scalars
section summable
open_locale classical
open finset filter
variables [normed_group α] [normed_group β]
lemma cauchy_seq_finset_iff_vanishing_norm {f : ι → α} :
cauchy_seq (λ s : finset ι, ∑ i in s, f i) ↔
∀ε > (0 : ℝ), ∃s:finset ι, ∀t, disjoint t s → ∥ ∑ i in t, f i ∥ < ε :=
begin
rw [cauchy_seq_finset_iff_vanishing, nhds_basis_ball.forall_iff],
{ simp only [ball_0_eq, set.mem_set_of_eq] },
{ rintros s t hst ⟨s', hs'⟩,
exact ⟨s', λ t' ht', hst $ hs' _ ht'⟩ }
end
lemma summable_iff_vanishing_norm [complete_space α] {f : ι → α} :
summable f ↔ ∀ε > (0 : ℝ), ∃s:finset ι, ∀t, disjoint t s → ∥ ∑ i in t, f i ∥ < ε :=
by rw [summable_iff_cauchy_seq_finset, cauchy_seq_finset_iff_vanishing_norm]
lemma cauchy_seq_finset_of_norm_bounded {f : ι → α} (g : ι → ℝ) (hg : summable g)
(h : ∀i, ∥f i∥ ≤ g i) : cauchy_seq (λ s : finset ι, ∑ i in s, f i) :=
cauchy_seq_finset_iff_vanishing_norm.2 $ assume ε hε,
let ⟨s, hs⟩ := summable_iff_vanishing_norm.1 hg ε hε in
⟨s, assume t ht,
have ∥∑ i in t, g i∥ < ε := hs t ht,
have nn : 0 ≤ ∑ i in t, g i := finset.sum_nonneg (assume a _, le_trans (norm_nonneg _) (h a)),
lt_of_le_of_lt (norm_sum_le_of_le t (λ i _, h i)) $
by rwa [real.norm_eq_abs, abs_of_nonneg nn] at this⟩
lemma cauchy_seq_finset_of_summable_norm {f : ι → α} (hf : summable (λa, ∥f a∥)) :
cauchy_seq (λ s : finset ι, ∑ a in s, f a) :=
cauchy_seq_finset_of_norm_bounded _ hf (assume i, le_refl _)
/-- If a function `f` is summable in norm, and along some sequence of finsets exhausting the space
its sum is converging to a limit `a`, then this holds along all finsets, i.e., `f` is summable
with sum `a`. -/
lemma has_sum_of_subseq_of_summable {f : ι → α} (hf : summable (λa, ∥f a∥))
{s : γ → finset ι} {p : filter γ} [ne_bot p]
(hs : tendsto s p at_top) {a : α} (ha : tendsto (λ b, ∑ i in s b, f i) p (𝓝 a)) :
has_sum f a :=
tendsto_nhds_of_cauchy_seq_of_subseq (cauchy_seq_finset_of_summable_norm hf) hs ha
lemma has_sum_iff_tendsto_nat_of_summable_norm {f : ℕ → α} {a : α} (hf : summable (λi, ∥f i∥)) :
has_sum f a ↔ tendsto (λn:ℕ, ∑ i in range n, f i) at_top (𝓝 a) :=
⟨λ h, h.tendsto_sum_nat,
λ h, has_sum_of_subseq_of_summable hf tendsto_finset_range h⟩
/-- The direct comparison test for series: if the norm of `f` is bounded by a real function `g`
which is summable, then `f` is summable. -/
lemma summable_of_norm_bounded
[complete_space α] {f : ι → α} (g : ι → ℝ) (hg : summable g) (h : ∀i, ∥f i∥ ≤ g i) :
summable f :=
by { rw summable_iff_cauchy_seq_finset, exact cauchy_seq_finset_of_norm_bounded g hg h }
lemma has_sum.norm_le_of_bounded {f : ι → α} {g : ι → ℝ} {a : α} {b : ℝ}
(hf : has_sum f a) (hg : has_sum g b) (h : ∀ i, ∥f i∥ ≤ g i) :
∥a∥ ≤ b :=
le_of_tendsto_of_tendsto' hf.norm hg $ λ s, norm_sum_le_of_le _ $ λ i hi, h i
/-- Quantitative result associated to the direct comparison test for series: If `∑' i, g i` is
summable, and for all `i`, `∥f i∥ ≤ g i`, then `∥∑' i, f i∥ ≤ ∑' i, g i`. Note that we do not
assume that `∑' i, f i` is summable, and it might not be the case if `α` is not a complete space. -/
lemma tsum_of_norm_bounded {f : ι → α} {g : ι → ℝ} {a : ℝ} (hg : has_sum g a)
(h : ∀ i, ∥f i∥ ≤ g i) :
∥∑' i : ι, f i∥ ≤ a :=
begin
by_cases hf : summable f,
{ exact hf.has_sum.norm_le_of_bounded hg h },
{ rw [tsum_eq_zero_of_not_summable hf, norm_zero],
exact ge_of_tendsto' hg (λ s, sum_nonneg $ λ i hi, (norm_nonneg _).trans (h i)) }
end
/-- If `∑' i, ∥f i∥` is summable, then `∥∑' i, f i∥ ≤ (∑' i, ∥f i∥)`. Note that we do not assume
that `∑' i, f i` is summable, and it might not be the case if `α` is not a complete space. -/
lemma norm_tsum_le_tsum_norm {f : ι → α} (hf : summable (λi, ∥f i∥)) :
∥∑'i, f i∥ ≤ ∑' i, ∥f i∥ :=
tsum_of_norm_bounded hf.has_sum $ λ i, le_rfl
variable [complete_space α]
/-- Variant of the direct comparison test for series: if the norm of `f` is eventually bounded by a
real function `g` which is summable, then `f` is summable. -/
lemma summable_of_norm_bounded_eventually {f : ι → α} (g : ι → ℝ) (hg : summable g)
(h : ∀ᶠ i in cofinite, ∥f i∥ ≤ g i) : summable f :=
begin
replace h := mem_cofinite.1 h,
refine h.summable_compl_iff.mp _,
refine summable_of_norm_bounded _ (h.summable_compl_iff.mpr hg) _,
rintros ⟨a, h'⟩,
simpa using h'
end
lemma summable_of_nnnorm_bounded {f : ι → α} (g : ι → ℝ≥0) (hg : summable g)
(h : ∀i, nnnorm (f i) ≤ g i) : summable f :=
summable_of_norm_bounded (λ i, (g i : ℝ)) (nnreal.summable_coe.2 hg) (λ i, by exact_mod_cast h i)
lemma summable_of_summable_norm {f : ι → α} (hf : summable (λa, ∥f a∥)) : summable f :=
summable_of_norm_bounded _ hf (assume i, le_refl _)
lemma summable_of_summable_nnnorm {f : ι → α} (hf : summable (λa, nnnorm (f a))) : summable f :=
summable_of_nnnorm_bounded _ hf (assume i, le_refl _)
end summable
|
31df95b2f7274aa38b4a3d4b957f78ca95daa27c | e00ea76a720126cf9f6d732ad6216b5b824d20a7 | /src/data/nat/enat.lean | 8b60c77e4892f91d924d0afec37f851b3ed08bba | [
"Apache-2.0"
] | permissive | vaibhavkarve/mathlib | a574aaf68c0a431a47fa82ce0637f0f769826bfe | 17f8340912468f49bdc30acdb9a9fa02eeb0473a | refs/heads/master | 1,621,263,802,637 | 1,585,399,588,000 | 1,585,399,588,000 | 250,833,447 | 0 | 0 | Apache-2.0 | 1,585,410,341,000 | 1,585,410,341,000 | null | UTF-8 | Lean | false | false | 12,650 | lean | /-
Copyright (c) 2018 Chris Hughes. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Chris Hughes
Natural numbers with infinity, represented as roption ℕ.
-/
import data.pfun algebra.ordered_group
import tactic.norm_cast tactic.norm_num
open roption
def enat : Type := roption ℕ
namespace enat
instance : has_zero enat := ⟨some 0⟩
instance : inhabited enat := ⟨0⟩
instance : has_one enat := ⟨some 1⟩
instance : has_add enat := ⟨λ x y, ⟨x.dom ∧ y.dom, λ h, get x h.1 + get y h.2⟩⟩
instance : has_coe ℕ enat := ⟨some⟩
instance (n : ℕ) : decidable (n : enat).dom := is_true trivial
@[simp] lemma coe_inj {x y : ℕ} : (x : enat) = y ↔ x = y := roption.some_inj
instance : add_comm_monoid enat :=
{ add := (+),
zero := (0),
add_comm := λ x y, roption.ext' and.comm (λ _ _, add_comm _ _),
zero_add := λ x, roption.ext' (true_and _) (λ _ _, zero_add _),
add_zero := λ x, roption.ext' (and_true _) (λ _ _, add_zero _),
add_assoc := λ x y z, roption.ext' and.assoc (λ _ _, add_assoc _ _ _) }
instance : has_le enat := ⟨λ x y, ∃ h : y.dom → x.dom, ∀ hy : y.dom, x.get (h hy) ≤ y.get hy⟩
instance : has_top enat := ⟨none⟩
instance : has_bot enat := ⟨0⟩
instance : has_sup enat := ⟨λ x y, ⟨x.dom ∧ y.dom, λ h, x.get h.1 ⊔ y.get h.2⟩⟩
@[elab_as_eliminator] protected lemma cases_on {P : enat → Prop} : ∀ a : enat,
P ⊤ → (∀ n : ℕ, P n) → P a :=
roption.induction_on
@[simp] lemma top_add (x : enat) : ⊤ + x = ⊤ :=
roption.ext' (false_and _) (λ h, h.left.elim)
@[simp] lemma add_top (x : enat) : x + ⊤ = ⊤ :=
by rw [add_comm, top_add]
@[simp, squash_cast] lemma coe_zero : ((0 : ℕ) : enat) = 0 := rfl
@[simp, squash_cast] lemma coe_one : ((1 : ℕ) : enat) = 1 := rfl
@[simp, move_cast] lemma coe_add (x y : ℕ) : ((x + y : ℕ) : enat) = x + y :=
roption.ext' (and_true _).symm (λ _ _, rfl)
@[simp, elim_cast] lemma get_coe {x : ℕ} : get (x : enat) true.intro = x := rfl
lemma coe_add_get {x : ℕ} {y : enat} (h : ((x : enat) + y).dom) :
get ((x : enat) + y) h = x + get y h.2 := rfl
@[simp] lemma get_add {x y : enat} (h : (x + y).dom) :
get (x + y) h = x.get h.1 + y.get h.2 := rfl
@[simp, squash_cast] lemma coe_get {x : enat} (h : x.dom) : (x.get h : enat) = x :=
roption.ext' (iff_of_true trivial h) (λ _ _, rfl)
@[simp] lemma get_zero (h : (0 : enat).dom) : (0 : enat).get h = 0 := rfl
@[simp] lemma get_one (h : (1 : enat).dom) : (1 : enat).get h = 1 := rfl
lemma dom_of_le_some {x : enat} {y : ℕ} : x ≤ y → x.dom :=
λ ⟨h, _⟩, h trivial
instance : partial_order enat :=
{ le := (≤),
le_refl := λ x, ⟨id, λ _, le_refl _⟩,
le_trans := λ x y z ⟨hxy₁, hxy₂⟩ ⟨hyz₁, hyz₂⟩,
⟨hxy₁ ∘ hyz₁, λ _, le_trans (hxy₂ _) (hyz₂ _)⟩,
le_antisymm := λ x y ⟨hxy₁, hxy₂⟩ ⟨hyx₁, hyx₂⟩, roption.ext' ⟨hyx₁, hxy₁⟩
(λ _ _, le_antisymm (hxy₂ _) (hyx₂ _)) }
@[simp, elim_cast] lemma coe_le_coe {x y : ℕ} : (x : enat) ≤ y ↔ x ≤ y :=
⟨λ ⟨_, h⟩, h trivial, λ h, ⟨λ _, trivial, λ _, h⟩⟩
@[simp, elim_cast] lemma coe_lt_coe {x y : ℕ} : (x : enat) < y ↔ x < y :=
by rw [lt_iff_le_not_le, lt_iff_le_not_le, coe_le_coe, coe_le_coe]
lemma get_le_get {x y : enat} {hx : x.dom} {hy : y.dom} :
x.get hx ≤ y.get hy ↔ x ≤ y :=
by conv { to_lhs, rw [← coe_le_coe, coe_get, coe_get]}
instance semilattice_sup_bot : semilattice_sup_bot enat :=
{ sup := (⊔),
bot := (⊥),
bot_le := λ _, ⟨λ _, trivial, λ _, nat.zero_le _⟩,
le_sup_left := λ _ _, ⟨and.left, λ _, le_sup_left⟩,
le_sup_right := λ _ _, ⟨and.right, λ _, le_sup_right⟩,
sup_le := λ x y z ⟨hx₁, hx₂⟩ ⟨hy₁, hy₂⟩, ⟨λ hz, ⟨hx₁ hz, hy₁ hz⟩,
λ _, sup_le (hx₂ _) (hy₂ _)⟩,
..enat.partial_order }
instance order_top : order_top enat :=
{ top := (⊤),
le_top := λ x, ⟨λ h, false.elim h, λ hy, false.elim hy⟩,
..enat.semilattice_sup_bot }
lemma top_eq_none : (⊤ : enat) = none := rfl
lemma coe_lt_top (x : ℕ) : (x : enat) < ⊤ :=
lt_of_le_of_ne le_top (λ h, absurd (congr_arg dom h) true_ne_false)
@[simp] lemma coe_ne_top (x : ℕ) : (x : enat) ≠ ⊤ := ne_of_lt (coe_lt_top x)
lemma ne_top_iff {x : enat} : x ≠ ⊤ ↔ ∃(n : ℕ), x = n := roption.ne_none_iff
lemma ne_top_iff_dom {x : enat} : x ≠ ⊤ ↔ x.dom :=
by classical; exact not_iff_comm.1 roption.eq_none_iff'.symm
lemma ne_top_of_lt {x y : enat} (h : x < y) : x ≠ ⊤ :=
ne_of_lt $ lt_of_lt_of_le h le_top
lemma pos_iff_one_le {x : enat} : 0 < x ↔ 1 ≤ x :=
enat.cases_on x ⟨λ _, le_top, λ _, coe_lt_top _⟩
(λ n, ⟨λ h, enat.coe_le_coe.2 (enat.coe_lt_coe.1 h),
λ h, enat.coe_lt_coe.2 (enat.coe_le_coe.1 h)⟩)
noncomputable instance : decidable_linear_order enat :=
{ le_total := λ x y, enat.cases_on x
(or.inr le_top) (enat.cases_on y (λ _, or.inl le_top)
(λ x y, (le_total x y).elim (or.inr ∘ coe_le_coe.2)
(or.inl ∘ coe_le_coe.2))),
decidable_le := classical.dec_rel _,
..enat.partial_order }
noncomputable instance : bounded_lattice enat :=
{ inf := min,
inf_le_left := min_le_left,
inf_le_right := min_le_right,
le_inf := λ _ _ _, le_min,
..enat.order_top,
..enat.semilattice_sup_bot }
lemma sup_eq_max {a b : enat} : a ⊔ b = max a b :=
le_antisymm (sup_le (le_max_left _ _) (le_max_right _ _))
(max_le le_sup_left le_sup_right)
lemma inf_eq_min {a b : enat} : a ⊓ b = min a b := rfl
instance : ordered_comm_monoid enat :=
{ add_le_add_left := λ a b ⟨h₁, h₂⟩ c,
enat.cases_on c (by simp)
(λ c, ⟨λ h, and.intro trivial (h₁ h.2),
λ _, add_le_add_left (h₂ _) c⟩),
lt_of_add_lt_add_left := λ a b c, enat.cases_on a
(λ h, by simpa [lt_irrefl] using h)
(λ a, enat.cases_on b
(λ h, absurd h (not_lt_of_ge (by rw add_top; exact le_top)))
(λ b, enat.cases_on c
(λ _, coe_lt_top _)
(λ c h, coe_lt_coe.2 (by rw [← coe_add, ← coe_add, coe_lt_coe] at h;
exact lt_of_add_lt_add_left h)))),
..enat.decidable_linear_order,
..enat.add_comm_monoid }
instance : canonically_ordered_monoid enat :=
{ le_iff_exists_add := λ a b, enat.cases_on b
(iff_of_true le_top ⟨⊤, (add_top _).symm⟩)
(λ b, enat.cases_on a
(iff_of_false (not_le_of_gt (coe_lt_top _))
(not_exists.2 (λ x, ne_of_lt (by rw [top_add]; exact coe_lt_top _))))
(λ a, ⟨λ h, ⟨(b - a : ℕ),
by rw [← coe_add, coe_inj, add_comm, nat.sub_add_cancel (coe_le_coe.1 h)]⟩,
(λ ⟨c, hc⟩, enat.cases_on c
(λ hc, hc.symm ▸ show (a : enat) ≤ a + ⊤, by rw [add_top]; exact le_top)
(λ c (hc : (b : enat) = a + c),
coe_le_coe.2 (by rw [← coe_add, coe_inj] at hc;
rw hc; exact nat.le_add_right _ _)) hc)⟩)),
..enat.semilattice_sup_bot,
..enat.ordered_comm_monoid }
protected lemma add_lt_add_right {x y z : enat} (h : x < y) (hz : z ≠ ⊤) : x + z < y + z :=
begin
rcases ne_top_iff.mp (ne_top_of_lt h) with ⟨m, rfl⟩,
rcases ne_top_iff.mp hz with ⟨k, rfl⟩,
induction y using enat.cases_on with n,
{ rw [top_add], apply_mod_cast coe_lt_top },
norm_cast at h, apply_mod_cast add_lt_add_right h
end
protected lemma add_lt_add_iff_right {x y z : enat} (hz : z ≠ ⊤) : x + z < y + z ↔ x < y :=
⟨lt_of_add_lt_add_right', λ h, enat.add_lt_add_right h hz⟩
protected lemma add_lt_add_iff_left {x y z : enat} (hz : z ≠ ⊤) : z + x < z + y ↔ x < y :=
by rw [add_comm z, add_comm z, enat.add_lt_add_iff_right hz]
protected lemma lt_add_iff_pos_right {x y : enat} (hx : x ≠ ⊤) : x < x + y ↔ 0 < y :=
by { conv_rhs { rw [← enat.add_lt_add_iff_left hx] }, rw [add_zero] }
lemma lt_add_one {x : enat} (hx : x ≠ ⊤) : x < x + 1 :=
by { rw [enat.lt_add_iff_pos_right hx], norm_cast, norm_num }
lemma le_of_lt_add_one {x y : enat} (h : x < y + 1) : x ≤ y :=
begin
induction y using enat.cases_on with n, apply le_top,
rcases ne_top_iff.mp (ne_top_of_lt h) with ⟨m, rfl⟩,
apply_mod_cast nat.le_of_lt_succ, apply_mod_cast h
end
lemma add_one_le_of_lt {x y : enat} (h : x < y) : x + 1 ≤ y :=
begin
induction y using enat.cases_on with n, apply le_top,
rcases ne_top_iff.mp (ne_top_of_lt h) with ⟨m, rfl⟩,
apply_mod_cast nat.succ_le_of_lt, apply_mod_cast h
end
lemma add_one_le_iff_lt {x y : enat} (hx : x ≠ ⊤) : x + 1 ≤ y ↔ x < y :=
begin
split, swap, exact add_one_le_of_lt,
intro h, rcases ne_top_iff.mp hx with ⟨m, rfl⟩,
induction y using enat.cases_on with n, apply coe_lt_top,
apply_mod_cast nat.lt_of_succ_le, apply_mod_cast h
end
lemma lt_add_one_iff_lt {x y : enat} (hx : x ≠ ⊤) : x < y + 1 ↔ x ≤ y :=
begin
split, exact le_of_lt_add_one,
intro h, rcases ne_top_iff.mp hx with ⟨m, rfl⟩,
induction y using enat.cases_on with n, { rw [top_add], apply coe_lt_top },
apply_mod_cast nat.lt_succ_of_le, apply_mod_cast h
end
lemma add_eq_top_iff {a b : enat} : a + b = ⊤ ↔ a = ⊤ ∨ b = ⊤ :=
by apply enat.cases_on a; apply enat.cases_on b;
simp; simp only [(enat.coe_add _ _).symm, enat.coe_ne_top]; simp
protected lemma add_right_cancel_iff {a b c : enat} (hc : c ≠ ⊤) : a + c = b + c ↔ a = b :=
begin
rcases ne_top_iff.1 hc with ⟨c, rfl⟩,
apply enat.cases_on a; apply enat.cases_on b;
simp [add_eq_top_iff, coe_ne_top, @eq_comm _ (⊤ : enat)];
simp only [(enat.coe_add _ _).symm, add_left_cancel_iff, enat.coe_inj, add_comm];
tauto
end
protected lemma add_left_cancel_iff {a b c : enat} (ha : a ≠ ⊤) : a + b = a + c ↔ b = c :=
by rw [add_comm a, add_comm a, enat.add_right_cancel_iff ha]
section with_top
/-- Computably converts an `enat` to a `with_top ℕ`. -/
def to_with_top (x : enat) [decidable x.dom]: with_top ℕ := x.to_option
lemma to_with_top_top : to_with_top ⊤ = ⊤ := rfl
@[simp] lemma to_with_top_top' {h : decidable (⊤ : enat).dom} : to_with_top ⊤ = ⊤ :=
by convert to_with_top_top
lemma to_with_top_zero : to_with_top 0 = 0 := rfl
@[simp] lemma to_with_top_zero' {h : decidable (0 : enat).dom}: to_with_top 0 = 0 :=
by convert to_with_top_zero
lemma to_with_top_coe (n : ℕ) : to_with_top n = n := rfl
@[simp] lemma to_with_top_coe' (n : ℕ) {h : decidable (n : enat).dom} : to_with_top (n : enat) = n :=
by convert to_with_top_coe n
@[simp] lemma to_with_top_le {x y : enat} : Π [decidable x.dom]
[decidable y.dom], by exactI to_with_top x ≤ to_with_top y ↔ x ≤ y :=
enat.cases_on y (by simp) (enat.cases_on x (by simp) (by intros; simp))
@[simp] lemma to_with_top_lt {x y : enat} [decidable x.dom] [decidable y.dom] :
to_with_top x < to_with_top y ↔ x < y :=
by simp only [lt_iff_le_not_le, to_with_top_le]
end with_top
section with_top_equiv
open_locale classical
/-- Order isomorphism between `enat` and `with_top ℕ`. -/
noncomputable def with_top_equiv : enat ≃ with_top ℕ :=
{ to_fun := λ x, to_with_top x,
inv_fun := λ x, match x with (some n) := coe n | none := ⊤ end,
left_inv := λ x, by apply enat.cases_on x; intros; simp; refl,
right_inv := λ x, by cases x; simp [with_top_equiv._match_1]; refl }
@[simp] lemma with_top_equiv_top : with_top_equiv ⊤ = ⊤ :=
to_with_top_top'
@[simp] lemma with_top_equiv_coe (n : nat) : with_top_equiv n = n :=
to_with_top_coe' _
@[simp] lemma with_top_equiv_zero : with_top_equiv 0 = 0 :=
with_top_equiv_coe _
@[simp] lemma with_top_equiv_le {x y : enat} : with_top_equiv x ≤ with_top_equiv y ↔ x ≤ y :=
to_with_top_le
@[simp] lemma with_top_equiv_lt {x y : enat} : with_top_equiv x < with_top_equiv y ↔ x < y :=
to_with_top_lt
@[simp] lemma with_top_equiv_symm_top : with_top_equiv.symm ⊤ = ⊤ :=
rfl
@[simp] lemma with_top_equiv_symm_coe (n : nat) : with_top_equiv.symm n = n :=
rfl
@[simp] lemma with_top_equiv_symm_zero : with_top_equiv.symm 0 = 0 :=
rfl
@[simp] lemma with_top_equiv_symm_le {x y : with_top ℕ} :
with_top_equiv.symm x ≤ with_top_equiv.symm y ↔ x ≤ y :=
by rw ← with_top_equiv_le; simp
@[simp] lemma with_top_equiv_symm_lt {x y : with_top ℕ} :
with_top_equiv.symm x < with_top_equiv.symm y ↔ x < y :=
by rw ← with_top_equiv_lt; simp
end with_top_equiv
lemma lt_wf : well_founded ((<) : enat → enat → Prop) :=
show well_founded (λ a b : enat, a < b),
by haveI := classical.dec; simp only [to_with_top_lt.symm] {eta := ff};
exact inv_image.wf _ (with_top.well_founded_lt nat.lt_wf)
instance : has_well_founded enat := ⟨(<), lt_wf⟩
end enat
|
2732e6c55486b79351f2ecf5200f0f744a6fc082 | 9dc8cecdf3c4634764a18254e94d43da07142918 | /src/topology/uniform_space/compact.lean | 9fddded9518093bd61ce1debdf0cba0ed910e535 | [
"Apache-2.0"
] | permissive | jcommelin/mathlib | d8456447c36c176e14d96d9e76f39841f69d2d9b | ee8279351a2e434c2852345c51b728d22af5a156 | refs/heads/master | 1,664,782,136,488 | 1,663,638,983,000 | 1,663,638,983,000 | 132,563,656 | 0 | 0 | Apache-2.0 | 1,663,599,929,000 | 1,525,760,539,000 | Lean | UTF-8 | Lean | false | false | 10,396 | lean | /-
Copyright (c) 2020 Patrick Massot. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Patrick Massot, Yury Kudryashov
-/
import topology.uniform_space.uniform_convergence
import topology.separation
/-!
# Compact separated uniform spaces
## Main statements
* `compact_space_uniformity`: On a compact uniform space, the topology determines the
uniform structure, entourages are exactly the neighborhoods of the diagonal.
* `uniform_space_of_compact_t2`: every compact T2 topological structure is induced by a uniform
structure. This uniform structure is described in the previous item.
* **Heine-Cantor** theorem: continuous functions on compact uniform spaces with values in uniform
spaces are automatically uniformly continuous. There are several variations, the main one is
`compact_space.uniform_continuous_of_continuous`.
## Implementation notes
The construction `uniform_space_of_compact_t2` is not declared as an instance, as it would badly
loop.
## tags
uniform space, uniform continuity, compact space
-/
open_locale classical uniformity topological_space filter
open filter uniform_space set
variables {α β γ : Type*} [uniform_space α] [uniform_space β]
/-!
### Uniformity on compact spaces
-/
/-- On a compact uniform space, the topology determines the uniform structure, entourages are
exactly the neighborhoods of the diagonal. -/
lemma nhds_set_diagonal_eq_uniformity [compact_space α] : 𝓝ˢ (diagonal α) = 𝓤 α :=
begin
refine nhds_set_diagonal_le_uniformity.antisymm _,
have : (𝓤 (α × α)).has_basis (λ U, U ∈ 𝓤 α)
(λ U, (λ p : (α × α) × α × α, ((p.1.1, p.2.1), p.1.2, p.2.2)) ⁻¹' U ×ˢ U),
{ rw [uniformity_prod_eq_comap_prod],
exact (𝓤 α).basis_sets.prod_self.comap _ },
refine (is_compact_diagonal.nhds_set_basis_uniformity this).ge_iff.2 (λ U hU, _),
exact mem_of_superset hU (λ ⟨x, y⟩ hxy, mem_Union₂.2 ⟨(x, x), rfl, refl_mem_uniformity hU, hxy⟩)
end
/-- On a compact uniform space, the topology determines the uniform structure, entourages are
exactly the neighborhoods of the diagonal. -/
lemma compact_space_uniformity [compact_space α] : 𝓤 α = ⨆ x, 𝓝 (x, x) :=
nhds_set_diagonal_eq_uniformity.symm.trans (nhds_set_diagonal _)
lemma unique_uniformity_of_compact [t : topological_space γ] [compact_space γ]
{u u' : uniform_space γ} (h : u.to_topological_space = t) (h' : u'.to_topological_space = t) :
u = u' :=
begin
apply uniform_space_eq,
change uniformity _ = uniformity _,
haveI : @compact_space γ u.to_topological_space, { rwa h },
haveI : @compact_space γ u'.to_topological_space, { rwa h' },
rw [compact_space_uniformity, compact_space_uniformity, h, h']
end
/-- The unique uniform structure inducing a given compact topological structure. -/
def uniform_space_of_compact_t2 [topological_space γ] [compact_space γ] [t2_space γ] :
uniform_space γ :=
{ uniformity := ⨆ x, 𝓝 (x, x),
refl := begin
simp_rw [filter.principal_le_iff, mem_supr],
rintros V V_in ⟨x, _⟩ ⟨⟩,
exact mem_of_mem_nhds (V_in x),
end,
symm := begin
refine le_of_eq _,
rw map_supr,
congr' with x : 1,
erw [nhds_prod_eq, ← prod_comm],
end,
comp := begin
/-
This is the difficult part of the proof. We need to prove that, for each neighborhood W
of the diagonal Δ, W ○ W is still a neighborhood of the diagonal.
-/
set 𝓝Δ := ⨆ x : γ, 𝓝 (x, x), -- The filter of neighborhoods of Δ
set F := 𝓝Δ.lift' (λ (s : set (γ × γ)), s ○ s), -- Compositions of neighborhoods of Δ
-- If this weren't true, then there would be V ∈ 𝓝Δ such that F ⊓ 𝓟 Vᶜ ≠ ⊥
rw le_iff_forall_inf_principal_compl,
intros V V_in,
by_contra H,
haveI : ne_bot (F ⊓ 𝓟 Vᶜ) := ⟨H⟩,
-- Hence compactness would give us a cluster point (x, y) for F ⊓ 𝓟 Vᶜ
obtain ⟨⟨x, y⟩, hxy⟩ : ∃ (p : γ × γ), cluster_pt p (F ⊓ 𝓟 Vᶜ) := cluster_point_of_compact _,
-- In particular (x, y) is a cluster point of 𝓟 Vᶜ, hence is not in the interior of V,
-- and a fortiori not in Δ, so x ≠ y
have clV : cluster_pt (x, y) (𝓟 $ Vᶜ) := hxy.of_inf_right,
have : (x, y) ∉ interior V,
{ have : (x, y) ∈ closure (Vᶜ), by rwa mem_closure_iff_cluster_pt,
rwa closure_compl at this },
have diag_subset : diagonal γ ⊆ interior V,
{ rw subset_interior_iff_nhds,
rintros ⟨x, x⟩ ⟨⟩,
exact (mem_supr.mp V_in : _) x },
have x_ne_y : x ≠ y,
{ intro h,
apply this,
apply diag_subset,
simp [h] },
-- Since γ is compact and Hausdorff, it is normal, hence T₃.
haveI : normal_space γ := normal_of_compact_t2,
-- So there are closed neighboords V₁ and V₂ of x and y contained in disjoint open neighborhoods
-- U₁ and U₂.
obtain
⟨U₁, U₁_in, V₁, V₁_in, U₂, U₂_in₂, V₂, V₂_in, V₁_cl, V₂_cl, U₁_op, U₂_op, VU₁, VU₂, hU₁₂⟩ :=
disjoint_nested_nhds x_ne_y,
-- We set U₃ := (V₁ ∪ V₂)ᶜ so that W := U₁ ×ˢ U₁ ∪ U₂ ×ˢ U₂ ∪ U₃ ×ˢ U₃ is an open
-- neighborhood of Δ.
let U₃ := (V₁ ∪ V₂)ᶜ,
have U₃_op : is_open U₃ :=
is_open_compl_iff.mpr (is_closed.union V₁_cl V₂_cl),
let W := U₁ ×ˢ U₁ ∪ U₂ ×ˢ U₂ ∪ U₃ ×ˢ U₃,
have W_in : W ∈ 𝓝Δ,
{ rw mem_supr,
intros x,
apply is_open.mem_nhds (is_open.union (is_open.union _ _) _),
{ by_cases hx : x ∈ V₁ ∪ V₂,
{ left,
cases hx with hx hx ; [left, right] ; split ; tauto },
{ right,
rw mem_prod,
tauto }, },
all_goals { simp only [is_open.prod, *] } },
-- So W ○ W ∈ F by definition of F
have : W ○ W ∈ F, by simpa only using mem_lift' W_in,
-- And V₁ ×ˢ V₂ ∈ 𝓝 (x, y)
have hV₁₂ : V₁ ×ˢ V₂ ∈ 𝓝 (x, y) := prod_mem_nhds V₁_in V₂_in,
-- But (x, y) is also a cluster point of F so (V₁ ×ˢ V₂) ∩ (W ○ W) ≠ ∅
-- However the construction of W implies (V₁ ×ˢ V₂) ∩ (W ○ W) = ∅.
-- Indeed assume for contradiction there is some (u, v) in the intersection.
obtain ⟨⟨u, v⟩, ⟨u_in, v_in⟩, w, huw, hwv⟩ := cluster_pt_iff.mp (hxy.of_inf_left) hV₁₂ this,
-- So u ∈ V₁, v ∈ V₂, and there exists some w such that (u, w) ∈ W and (w ,v) ∈ W.
-- Because u is in V₁ which is disjoint from U₂ and U₃, (u, w) ∈ W forces (u, w) ∈ U₁ ×ˢ U₁.
have uw_in : (u, w) ∈ U₁ ×ˢ U₁ := (huw.resolve_right $ λ h, (h.1 $ or.inl u_in)).resolve_right
(λ h, hU₁₂ ⟨VU₁ u_in, h.1⟩),
-- Similarly, because v ∈ V₂, (w ,v) ∈ W forces (w, v) ∈ U₂ ×ˢ U₂.
have wv_in : (w, v) ∈ U₂ ×ˢ U₂ := (hwv.resolve_right $ λ h, (h.2 $ or.inr v_in)).resolve_left
(λ h, hU₁₂ ⟨h.2, VU₂ v_in⟩),
-- Hence w ∈ U₁ ∩ U₂ which is empty.
-- So we have a contradiction
exact hU₁₂ ⟨uw_in.2, wv_in.1⟩,
end,
is_open_uniformity := begin
-- Here we need to prove the topology induced by the constructed uniformity is the
-- topology we started with.
suffices : ∀ x : γ, filter.comap (prod.mk x) (⨆ y, 𝓝 (y ,y)) = 𝓝 x,
{ intros s,
change is_open s ↔ _,
simp_rw [is_open_iff_mem_nhds, nhds_eq_comap_uniformity_aux, this] },
intros x,
simp_rw [comap_supr, nhds_prod_eq, comap_prod,
show prod.fst ∘ prod.mk x = λ y : γ, x, by ext ; simp,
show prod.snd ∘ (prod.mk x) = (id : γ → γ), by ext ; refl, comap_id],
rw [supr_split_single _ x, comap_const_of_mem (λ V, mem_of_mem_nhds)],
suffices : ∀ y ≠ x, comap (λ (y : γ), x) (𝓝 y) ⊓ 𝓝 y ≤ 𝓝 x,
by simpa,
intros y hxy,
simp [comap_const_of_not_mem (compl_singleton_mem_nhds hxy) (by simp)],
end }
/-!
### Heine-Cantor theorem
-/
/-- Heine-Cantor: a continuous function on a compact separated uniform space is uniformly
continuous. -/
lemma compact_space.uniform_continuous_of_continuous [compact_space α]
{f : α → β} (h : continuous f) : uniform_continuous f :=
calc
map (prod.map f f) (𝓤 α) = map (prod.map f f) (⨆ x, 𝓝 (x, x)) : by rw compact_space_uniformity
... = ⨆ x, map (prod.map f f) (𝓝 (x, x)) : by rw map_supr
... ≤ ⨆ x, 𝓝 (f x, f x) : supr_mono (λ x, (h.prod_map h).continuous_at)
... ≤ ⨆ y, 𝓝 (y, y) : supr_comp_le (λ y, 𝓝 (y, y)) f
... ≤ 𝓤 β : supr_nhds_le_uniformity
/-- Heine-Cantor: a continuous function on a compact set of a uniform space is uniformly
continuous. -/
lemma is_compact.uniform_continuous_on_of_continuous {s : set α} {f : α → β}
(hs : is_compact s) (hf : continuous_on f s) : uniform_continuous_on f s :=
begin
rw uniform_continuous_on_iff_restrict,
rw is_compact_iff_compact_space at hs,
rw continuous_on_iff_continuous_restrict at hf,
resetI,
exact compact_space.uniform_continuous_of_continuous hf,
end
/-- A family of functions `α → β → γ` tends uniformly to its value at `x` if `α` is locally compact,
`β` is compact and `f` is continuous on `U × (univ : set β)` for some neighborhood `U` of `x`. -/
lemma continuous_on.tendsto_uniformly [locally_compact_space α] [compact_space β]
[uniform_space γ] {f : α → β → γ} {x : α} {U : set α}
(hxU : U ∈ 𝓝 x) (h : continuous_on ↿f (U ×ˢ univ)) :
tendsto_uniformly f (f x) (𝓝 x) :=
begin
rcases locally_compact_space.local_compact_nhds _ _ hxU with ⟨K, hxK, hKU, hK⟩,
have : uniform_continuous_on ↿f (K ×ˢ univ),
from is_compact.uniform_continuous_on_of_continuous (hK.prod compact_univ)
(h.mono $ prod_mono hKU subset.rfl),
exact this.tendsto_uniformly hxK
end
/-- A continuous family of functions `α → β → γ` tends uniformly to its value at `x` if `α` is
locally compact and `β` is compact. -/
lemma continuous.tendsto_uniformly [locally_compact_space α] [compact_space β] [uniform_space γ]
(f : α → β → γ) (h : continuous ↿f) (x : α) : tendsto_uniformly f (f x) (𝓝 x) :=
h.continuous_on.tendsto_uniformly univ_mem
|
492fd6ac137e0ed82ace259d8aecadb1d4feeecf | 02005f45e00c7ecf2c8ca5db60251bd1e9c860b5 | /src/data/finset/basic.lean | b3de0ae2e7994b36f29ca93d23cbd55691963f1f | [
"Apache-2.0"
] | permissive | anthony2698/mathlib | 03cd69fe5c280b0916f6df2d07c614c8e1efe890 | 407615e05814e98b24b2ff322b14e8e3eb5e5d67 | refs/heads/master | 1,678,792,774,873 | 1,614,371,563,000 | 1,614,371,563,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 111,901 | lean | /-
Copyright (c) 2015 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Leonardo de Moura, Jeremy Avigad, Minchao Wu, Mario Carneiro
-/
import data.multiset.finset_ops
import tactic.monotonicity
import tactic.apply
import tactic.nth_rewrite
/-!
# Finite sets
Terms of type `finset α` are one way of talking about finite subsets of `α` in mathlib.
Below, `finset α` is defined as a structure with 2 fields:
1. `val` is a `multiset α` of elements;
2. `nodup` is a proof that `val` has no duplicates.
Finsets in Lean are constructive in that they have an underlying `list` that enumerates their
elements. In particular, any function that uses the data of the underlying list cannot depend on its
ordering. This is handled on the `multiset` level by multiset API, so in most cases one needn't
worry about it explicitly.
Finsets give a basic foundation for defining finite sums and products over types:
1. `∑ i in (s : finset α), f i`;
2. `∏ i in (s : finset α), f i`.
Lean refers to these operations as `big_operator`s.
More information can be found in `algebra.big_operators.basic`.
Finsets are directly used to define fintypes in Lean.
A `fintype α` instance for a type `α` consists of
a universal `finset α` containing every term of `α`, called `univ`. See `data.fintype.basic`.
There is also `univ'`, the noncomputable partner to `univ`,
which is defined to be `α` as a finset if `α` is finite,
and the empty finset otherwise. See `data.fintype.basic`.
## Main declarations
### Main definitions
* `finset`: Defines a type for the finite subsets of `α`.
Constructing a `finset` requires two pieces of data: `val`, a `multiset α` of elements,
and `nodup`, a proof that `val` has no duplicates.
* `finset.has_mem`: Defines membership `a ∈ (s : finset α)`.
* `finset.has_coe`: Provides a coercion `s : finset α` to `s : set α`.
* `finset.induction_on`: Induction on finsets. To prove a proposition about an arbitrary `finset α`,
it suffices to prove it for the empty finset, and to show that if it holds for some `finset α`,
then it holds for the finset obtained by inserting a new element.
* `finset.choose`: Given a proof `h` of existence and uniqueness of a certain element
satisfying a predicate, `choose s h` returns the element of `s` satisfying that predicate.
* `finset.card`: `card s : ℕ` returns the cardinalilty of `s : finset α`.
The API for `card`'s interaction with operations on finsets is extensive.
TODO: The noncomputable sister `fincard` is about to be added into mathlib.
### Finset constructions
* `singleton`: Denoted by `{a}`; the finset consisting of one element.
* `finset.empty`: Denoted by `∅`. The finset associated to any type consisting of no elements.
* `finset.range`: For any `n : ℕ`, `range n` is equal to `{0, 1, ... , n - 1} ⊆ ℕ`.
This convention is consistent with other languages and normalizes `card (range n) = n`.
Beware, `n` is not in `range n`.
* `finset.diag`: Given `s`, `diag s` is the set of pairs `(a, a)` with `a ∈ s`. See also
`finset.off_diag`: Given a finite set `s`, the off-diagonal,
`s.off_diag` is the set of pairs `(a, b)` with `a ≠ b` for `a, b ∈ s`.
* `finset.attach`: Given `s : finset α`, `attach s` forms a finset of elements of the subtype
`{a // a ∈ s}`; in other words, it attaches elements to a proof of membership in the set.
### Finsets from functions
* `finset.image`: Given a function `f : α → β`, `s.image f` is the image finset in `β`.
* `finset.map`: Given an embedding `f : α ↪ β`, `s.map f` is the image finset in `β`.
* `finset.filter`: Given a predicate `p : α → Prop`, `s.filter p` is
the finset consisting of those elements in `s` satisfying the predicate `p`.
### The lattice structure on subsets of finsets
There is a natural lattice structure on the subsets of a set.
In Lean, we use lattice notation to talk about things involving unions and intersections. See
`order.lattice`. For the lattice structure on finsets, `⊥` is called `bot` with `⊥ = ∅` and `⊤` is
called `top` with `⊤ = univ`.
* `finset.subset`: Lots of API about lattices, otherwise behaves exactly as one would expect.
* `finset.union`: Defines `s ∪ t` (or `s ⊔ t`) as the union of `s` and `t`.
See `finset.bUnion` for finite unions.
* `finset.inter`: Defines `s ∩ t` (or `s ⊓ t`) as the intersection of `s` and `t`.
TODO: `finset.bInter` for finite intersections.
* `finset.disj_union`: Given a hypothesis `h` which states that finsets `s` and `t` are disjoint,
`s.disj_union t h` is the set such that `a ∈ disj_union s t h` iff `a ∈ s` or `a ∈ t`; this does
not require decidable equality on the type `α`.
### Operations on two or more finsets
* `finset.insert` and `finset.cons`: For any `a : α`, `insert s a` returns `s ∪ {a}`. `cons s a h`
returns the same except that it requires a hypothesis stating that `a` is not already in `s`.
This does not require decidable equality on the type `α`.
* `finset.union`: see "The lattice structure on subsets of finsets"
* `finset.inter`: see "The lattice structure on subsets of finsets"
* `finset.erase`: For any `a : α`, `erase s a` returns `s` with the element `a` removed.
* `finset.sdiff`: Defines the set difference `s \ t` for finsets `s` and `t`.
* `finset.prod`: Given finsets of `α` and `β`, defines finsets of `α × β`.
For arbitrary dependent products, see `data.finset.pi`.
* `finset.sigma`: Given finsets of `α` and `β`, defines finsets of the dependent sum type `Σ α, β`
* `finset.bUnion`: Finite unions of finsets; given an indexing function `f : α → finset β` and a
`s : finset α`, `s.bUnion f` is the union of all finsets of the form `f a` for `a ∈ s`.
* `finset.bInter`: TODO: Implemement finite intersections.
### Maps constructed using finsets
* `finset.piecewise`: Given two functions `f`, `g`, `s.piecewise f g` is a function which is equal
to `f` on `s` and `g` on the complement.
### Predicates on finsets
* `disjoint`: defined via the lattice structure on finsets; two sets are disjoint if their
intersection is empty.
* `finset.nonempty`: A finset is nonempty if it has elements.
This is equivalent to saying `s ≠ ∅`. TODO: Decide on the simp normal form.
### Equivalences between finsets
* The `data.equiv` files describe a general type of equivalence, so look in there for any lemmas.
There is some API for rewriting sums and products from `s` to `t` given that `s ≃ t`.
TODO: examples
## Tags
finite sets, finset
-/
open multiset subtype nat function
variables {α : Type*} {β : Type*} {γ : Type*}
/-- `finset α` is the type of finite sets of elements of `α`. It is implemented
as a multiset (a list up to permutation) which has no duplicate elements. -/
structure finset (α : Type*) :=
(val : multiset α)
(nodup : nodup val)
namespace finset
theorem eq_of_veq : ∀ {s t : finset α}, s.1 = t.1 → s = t
| ⟨s, _⟩ ⟨t, _⟩ rfl := rfl
@[simp] theorem val_inj {s t : finset α} : s.1 = t.1 ↔ s = t :=
⟨eq_of_veq, congr_arg _⟩
@[simp] theorem erase_dup_eq_self [decidable_eq α] (s : finset α) : erase_dup s.1 = s.1 :=
erase_dup_eq_self.2 s.2
instance has_decidable_eq [decidable_eq α] : decidable_eq (finset α)
| s₁ s₂ := decidable_of_iff _ val_inj
/-! ### membership -/
instance : has_mem α (finset α) := ⟨λ a s, a ∈ s.1⟩
theorem mem_def {a : α} {s : finset α} : a ∈ s ↔ a ∈ s.1 := iff.rfl
@[simp] theorem mem_mk {a : α} {s nd} : a ∈ @finset.mk α s nd ↔ a ∈ s := iff.rfl
instance decidable_mem [h : decidable_eq α] (a : α) (s : finset α) : decidable (a ∈ s) :=
multiset.decidable_mem _ _
/-! ### set coercion -/
/-- Convert a finset to a set in the natural way. -/
instance : has_coe_t (finset α) (set α) := ⟨λ s, {x | x ∈ s}⟩
@[simp, norm_cast] lemma mem_coe {a : α} {s : finset α} : a ∈ (s : set α) ↔ a ∈ s := iff.rfl
@[simp] lemma set_of_mem {α} {s : finset α} : {a | a ∈ s} = s := rfl
@[simp] lemma coe_mem {s : finset α} (x : (s : set α)) : ↑x ∈ s := x.2
@[simp] lemma mk_coe {s : finset α} (x : (s : set α)) {h} :
(⟨x, h⟩ : (s : set α)) = x :=
subtype.coe_eta _ _
instance decidable_mem' [decidable_eq α] (a : α) (s : finset α) :
decidable (a ∈ (s : set α)) := s.decidable_mem _
/-! ### extensionality -/
theorem ext_iff {s₁ s₂ : finset α} : s₁ = s₂ ↔ ∀ a, a ∈ s₁ ↔ a ∈ s₂ :=
val_inj.symm.trans $ nodup_ext s₁.2 s₂.2
@[ext]
theorem ext {s₁ s₂ : finset α} : (∀ a, a ∈ s₁ ↔ a ∈ s₂) → s₁ = s₂ :=
ext_iff.2
@[simp, norm_cast] theorem coe_inj {s₁ s₂ : finset α} : (s₁ : set α) = s₂ ↔ s₁ = s₂ :=
set.ext_iff.trans ext_iff.symm
lemma coe_injective {α} : injective (coe : finset α → set α) :=
λ s t, coe_inj.1
/-! ### subset -/
instance : has_subset (finset α) := ⟨λ s₁ s₂, ∀ ⦃a⦄, a ∈ s₁ → a ∈ s₂⟩
theorem subset_def {s₁ s₂ : finset α} : s₁ ⊆ s₂ ↔ s₁.1 ⊆ s₂.1 := iff.rfl
@[simp] theorem subset.refl (s : finset α) : s ⊆ s := subset.refl _
theorem subset_of_eq {s t : finset α} (h : s = t) : s ⊆ t := h ▸ subset.refl _
theorem subset.trans {s₁ s₂ s₃ : finset α} : s₁ ⊆ s₂ → s₂ ⊆ s₃ → s₁ ⊆ s₃ := subset.trans
theorem superset.trans {s₁ s₂ s₃ : finset α} : s₁ ⊇ s₂ → s₂ ⊇ s₃ → s₁ ⊇ s₃ :=
λ h' h, subset.trans h h'
-- TODO: these should be global attributes, but this will require fixing other files
local attribute [trans] subset.trans superset.trans
theorem mem_of_subset {s₁ s₂ : finset α} {a : α} : s₁ ⊆ s₂ → a ∈ s₁ → a ∈ s₂ := mem_of_subset
theorem subset.antisymm {s₁ s₂ : finset α} (H₁ : s₁ ⊆ s₂) (H₂ : s₂ ⊆ s₁) : s₁ = s₂ :=
ext $ λ a, ⟨@H₁ a, @H₂ a⟩
theorem subset_iff {s₁ s₂ : finset α} : s₁ ⊆ s₂ ↔ ∀ ⦃x⦄, x ∈ s₁ → x ∈ s₂ := iff.rfl
@[simp, norm_cast] theorem coe_subset {s₁ s₂ : finset α} :
(s₁ : set α) ⊆ s₂ ↔ s₁ ⊆ s₂ := iff.rfl
@[simp] theorem val_le_iff {s₁ s₂ : finset α} : s₁.1 ≤ s₂.1 ↔ s₁ ⊆ s₂ := le_iff_subset s₁.2
instance : has_ssubset (finset α) := ⟨λa b, a ⊆ b ∧ ¬ b ⊆ a⟩
instance : partial_order (finset α) :=
{ le := (⊆),
lt := (⊂),
le_refl := subset.refl,
le_trans := @subset.trans _,
le_antisymm := @subset.antisymm _ }
theorem subset.antisymm_iff {s₁ s₂ : finset α} : s₁ = s₂ ↔ s₁ ⊆ s₂ ∧ s₂ ⊆ s₁ :=
le_antisymm_iff
@[simp] theorem le_iff_subset {s₁ s₂ : finset α} : s₁ ≤ s₂ ↔ s₁ ⊆ s₂ := iff.rfl
@[simp] theorem lt_iff_ssubset {s₁ s₂ : finset α} : s₁ < s₂ ↔ s₁ ⊂ s₂ := iff.rfl
@[simp, norm_cast] lemma coe_ssubset {s₁ s₂ : finset α} : (s₁ : set α) ⊂ s₂ ↔ s₁ ⊂ s₂ :=
show (s₁ : set α) ⊂ s₂ ↔ s₁ ⊆ s₂ ∧ ¬s₂ ⊆ s₁,
by simp only [set.ssubset_def, finset.coe_subset]
@[simp] theorem val_lt_iff {s₁ s₂ : finset α} : s₁.1 < s₂.1 ↔ s₁ ⊂ s₂ :=
and_congr val_le_iff $ not_congr val_le_iff
theorem ssubset_iff_of_subset {s₁ s₂ : finset α} (h : s₁ ⊆ s₂) : s₁ ⊂ s₂ ↔ ∃ x ∈ s₂, x ∉ s₁ :=
set.ssubset_iff_of_subset h
/-! ### Nonempty -/
/-- The property `s.nonempty` expresses the fact that the finset `s` is not empty. It should be used
in theorem assumptions instead of `∃ x, x ∈ s` or `s ≠ ∅` as it gives access to a nice API thanks
to the dot notation. -/
protected def nonempty (s : finset α) : Prop := ∃ x:α, x ∈ s
@[simp, norm_cast] lemma coe_nonempty {s : finset α} : (s:set α).nonempty ↔ s.nonempty := iff.rfl
lemma nonempty.bex {s : finset α} (h : s.nonempty) : ∃ x:α, x ∈ s := h
lemma nonempty.mono {s t : finset α} (hst : s ⊆ t) (hs : s.nonempty) : t.nonempty :=
set.nonempty.mono hst hs
lemma nonempty.forall_const {s : finset α} (h : s.nonempty) {p : Prop} : (∀ x ∈ s, p) ↔ p :=
let ⟨x, hx⟩ := h in ⟨λ h, h x hx, λ h x hx, h⟩
/-! ### empty -/
/-- The empty finset -/
protected def empty : finset α := ⟨0, nodup_zero⟩
instance : has_emptyc (finset α) := ⟨finset.empty⟩
instance : inhabited (finset α) := ⟨∅⟩
@[simp] theorem empty_val : (∅ : finset α).1 = 0 := rfl
@[simp] theorem not_mem_empty (a : α) : a ∉ (∅ : finset α) := id
@[simp] theorem not_nonempty_empty : ¬(∅ : finset α).nonempty :=
λ ⟨x, hx⟩, not_mem_empty x hx
@[simp] theorem mk_zero : (⟨0, nodup_zero⟩ : finset α) = ∅ := rfl
theorem ne_empty_of_mem {a : α} {s : finset α} (h : a ∈ s) : s ≠ ∅ :=
λ e, not_mem_empty a $ e ▸ h
theorem nonempty.ne_empty {s : finset α} (h : s.nonempty) : s ≠ ∅ :=
exists.elim h $ λ a, ne_empty_of_mem
@[simp] theorem empty_subset (s : finset α) : ∅ ⊆ s := zero_subset _
theorem eq_empty_of_forall_not_mem {s : finset α} (H : ∀x, x ∉ s) : s = ∅ :=
eq_of_veq (eq_zero_of_forall_not_mem H)
lemma eq_empty_iff_forall_not_mem {s : finset α} : s = ∅ ↔ ∀ x, x ∉ s :=
⟨by rintro rfl x; exact id, λ h, eq_empty_of_forall_not_mem h⟩
@[simp] theorem val_eq_zero {s : finset α} : s.1 = 0 ↔ s = ∅ := @val_inj _ s ∅
theorem subset_empty {s : finset α} : s ⊆ ∅ ↔ s = ∅ := subset_zero.trans val_eq_zero
theorem nonempty_of_ne_empty {s : finset α} (h : s ≠ ∅) : s.nonempty :=
exists_mem_of_ne_zero (mt val_eq_zero.1 h)
theorem nonempty_iff_ne_empty {s : finset α} : s.nonempty ↔ s ≠ ∅ :=
⟨nonempty.ne_empty, nonempty_of_ne_empty⟩
@[simp] theorem not_nonempty_iff_eq_empty {s : finset α} : ¬s.nonempty ↔ s = ∅ :=
by { rw nonempty_iff_ne_empty, exact not_not, }
theorem eq_empty_or_nonempty (s : finset α) : s = ∅ ∨ s.nonempty :=
classical.by_cases or.inl (λ h, or.inr (nonempty_of_ne_empty h))
@[simp] lemma coe_empty : ((∅ : finset α) : set α) = ∅ := rfl
/-- A `finset` for an empty type is empty. -/
lemma eq_empty_of_not_nonempty (h : ¬ nonempty α) (s : finset α) : s = ∅ :=
finset.eq_empty_of_forall_not_mem $ λ x, false.elim $ not_nonempty_iff_imp_false.1 h x
/-! ### singleton -/
/--
`{a} : finset a` is the set `{a}` containing `a` and nothing else.
This differs from `insert a ∅` in that it does not require a `decidable_eq` instance for `α`.
-/
instance : has_singleton α (finset α) := ⟨λ a, ⟨{a}, nodup_singleton a⟩⟩
@[simp] theorem singleton_val (a : α) : ({a} : finset α).1 = a ::ₘ 0 := rfl
@[simp] theorem mem_singleton {a b : α} : b ∈ ({a} : finset α) ↔ b = a := mem_singleton
theorem not_mem_singleton {a b : α} : a ∉ ({b} : finset α) ↔ a ≠ b := not_congr mem_singleton
theorem mem_singleton_self (a : α) : a ∈ ({a} : finset α) := or.inl rfl
theorem singleton_inj {a b : α} : ({a} : finset α) = {b} ↔ a = b :=
⟨λ h, mem_singleton.1 (h ▸ mem_singleton_self _), congr_arg _⟩
@[simp] theorem singleton_nonempty (a : α) : ({a} : finset α).nonempty := ⟨a, mem_singleton_self a⟩
@[simp] theorem singleton_ne_empty (a : α) : ({a} : finset α) ≠ ∅ := (singleton_nonempty a).ne_empty
@[simp, norm_cast] lemma coe_singleton (a : α) : (({a} : finset α) : set α) = {a} :=
by { ext, simp }
lemma eq_singleton_iff_unique_mem {s : finset α} {a : α} :
s = {a} ↔ a ∈ s ∧ ∀ x ∈ s, x = a :=
begin
split; intro t,
rw t,
refine ⟨finset.mem_singleton_self _, λ _, finset.mem_singleton.1⟩,
ext, rw finset.mem_singleton,
refine ⟨t.right _, λ r, r.symm ▸ t.left⟩
end
lemma eq_singleton_iff_nonempty_unique_mem {s : finset α} {a : α} :
s = {a} ↔ s.nonempty ∧ ∀ x ∈ s, x = a :=
begin
split,
{ intros h, subst h, simp, },
{ rintros ⟨hne, h_uniq⟩, rw eq_singleton_iff_unique_mem, refine ⟨_, h_uniq⟩,
rw ← h_uniq hne.some hne.some_spec, apply hne.some_spec, },
end
lemma singleton_iff_unique_mem (s : finset α) : (∃ a, s = {a}) ↔ ∃! a, a ∈ s :=
by simp only [eq_singleton_iff_unique_mem, exists_unique]
lemma singleton_subset_set_iff {s : set α} {a : α} :
↑({a} : finset α) ⊆ s ↔ a ∈ s :=
by rw [coe_singleton, set.singleton_subset_iff]
@[simp] lemma singleton_subset_iff {s : finset α} {a : α} :
{a} ⊆ s ↔ a ∈ s :=
singleton_subset_set_iff
/-! ### cons -/
/-- `cons a s h` is the set `{a} ∪ s` containing `a` and the elements of `s`. It is the same as
`insert a s` when it is defined, but unlike `insert a s` it does not require `decidable_eq α`,
and the union is guaranteed to be disjoint. -/
def cons {α} (a : α) (s : finset α) (h : a ∉ s) : finset α :=
⟨a ::ₘ s.1, multiset.nodup_cons.2 ⟨h, s.2⟩⟩
@[simp] theorem mem_cons {α a s h b} : b ∈ @cons α a s h ↔ b = a ∨ b ∈ s :=
by rcases s with ⟨⟨s⟩⟩; apply list.mem_cons_iff
@[simp] theorem cons_val {a : α} {s : finset α} (h : a ∉ s) : (cons a s h).1 = a ::ₘ s.1 := rfl
@[simp] theorem mk_cons {a : α} {s : multiset α} (h : (a ::ₘ s).nodup) :
(⟨a ::ₘ s, h⟩ : finset α) = cons a ⟨s, (multiset.nodup_cons.1 h).2⟩ (multiset.nodup_cons.1 h).1 :=
rfl
@[simp] theorem nonempty_cons {a : α} {s : finset α} (h : a ∉ s) : (cons a s h).nonempty :=
⟨a, mem_cons.2 (or.inl rfl)⟩
@[simp] lemma nonempty_mk_coe : ∀ {l : list α} {hl}, (⟨↑l, hl⟩ : finset α).nonempty ↔ l ≠ []
| [] hl := by simp
| (a::l) hl := by simp [← multiset.cons_coe]
/-! ### disjoint union -/
/-- `disj_union s t h` is the set such that `a ∈ disj_union s t h` iff `a ∈ s` or `a ∈ t`.
It is the same as `s ∪ t`, but it does not require decidable equality on the type. The hypothesis
ensures that the sets are disjoint. -/
def disj_union {α} (s t : finset α) (h : ∀ a ∈ s, a ∉ t) : finset α :=
⟨s.1 + t.1, multiset.nodup_add.2 ⟨s.2, t.2, h⟩⟩
@[simp] theorem mem_disj_union {α s t h a} :
a ∈ @disj_union α s t h ↔ a ∈ s ∨ a ∈ t :=
by rcases s with ⟨⟨s⟩⟩; rcases t with ⟨⟨t⟩⟩; apply list.mem_append
/-! ### insert -/
section decidable_eq
variables [decidable_eq α]
/-- `insert a s` is the set `{a} ∪ s` containing `a` and the elements of `s`. -/
instance : has_insert α (finset α) := ⟨λ a s, ⟨_, nodup_ndinsert a s.2⟩⟩
theorem insert_def (a : α) (s : finset α) : insert a s = ⟨_, nodup_ndinsert a s.2⟩ := rfl
@[simp] theorem insert_val (a : α) (s : finset α) : (insert a s).1 = ndinsert a s.1 := rfl
theorem insert_val' (a : α) (s : finset α) : (insert a s).1 = erase_dup (a ::ₘ s.1) :=
by rw [erase_dup_cons, erase_dup_eq_self]; refl
theorem insert_val_of_not_mem {a : α} {s : finset α} (h : a ∉ s) : (insert a s).1 = a ::ₘ s.1 :=
by rw [insert_val, ndinsert_of_not_mem h]
@[simp] theorem mem_insert {a b : α} {s : finset α} : a ∈ insert b s ↔ a = b ∨ a ∈ s := mem_ndinsert
theorem mem_insert_self (a : α) (s : finset α) : a ∈ insert a s := mem_ndinsert_self a s.1
theorem mem_insert_of_mem {a b : α} {s : finset α} (h : a ∈ s) : a ∈ insert b s :=
mem_ndinsert_of_mem h
theorem mem_of_mem_insert_of_ne {a b : α} {s : finset α} (h : b ∈ insert a s) : b ≠ a → b ∈ s :=
(mem_insert.1 h).resolve_left
@[simp] theorem cons_eq_insert {α} [decidable_eq α] (a s h) : @cons α a s h = insert a s :=
ext $ λ a, by simp
@[simp, norm_cast] lemma coe_insert (a : α) (s : finset α) :
↑(insert a s) = (insert a s : set α) :=
set.ext $ λ x, by simp only [mem_coe, mem_insert, set.mem_insert_iff]
lemma mem_insert_coe {s : finset α} {x y : α} : x ∈ insert y s ↔ x ∈ insert y (s : set α) :=
by simp
instance : is_lawful_singleton α (finset α) := ⟨λ a, by { ext, simp }⟩
@[simp] theorem insert_eq_of_mem {a : α} {s : finset α} (h : a ∈ s) : insert a s = s :=
eq_of_veq $ ndinsert_of_mem h
@[simp] theorem insert_singleton_self_eq (a : α) : ({a, a} : finset α) = {a} :=
insert_eq_of_mem $ mem_singleton_self _
theorem insert.comm (a b : α) (s : finset α) : insert a (insert b s) = insert b (insert a s) :=
ext $ λ x, by simp only [mem_insert, or.left_comm]
theorem insert_singleton_comm (a b : α) : ({a, b} : finset α) = {b, a} :=
begin
ext,
simp [or.comm]
end
@[simp] theorem insert_idem (a : α) (s : finset α) : insert a (insert a s) = insert a s :=
ext $ λ x, by simp only [mem_insert, or.assoc.symm, or_self]
@[simp] theorem insert_nonempty (a : α) (s : finset α) : (insert a s).nonempty :=
⟨a, mem_insert_self a s⟩
@[simp] theorem insert_ne_empty (a : α) (s : finset α) : insert a s ≠ ∅ :=
(insert_nonempty a s).ne_empty
section
universe u
/-!
The universe annotation is required for the following instance, possibly this is a bug in Lean. See
leanprover.zulipchat.com/#narrow/stream/113488-general/topic/strange.20error.20(universe.20issue.3F)
-/
instance {α : Type u} [decidable_eq α] (i : α) (s : finset α) :
nonempty.{u + 1} ((insert i s : finset α) : set α) :=
(finset.coe_nonempty.mpr (s.insert_nonempty i)).to_subtype
end
lemma ne_insert_of_not_mem (s t : finset α) {a : α} (h : a ∉ s) :
s ≠ insert a t :=
by { contrapose! h, simp [h] }
theorem insert_subset {a : α} {s t : finset α} : insert a s ⊆ t ↔ a ∈ t ∧ s ⊆ t :=
by simp only [subset_iff, mem_insert, forall_eq, or_imp_distrib, forall_and_distrib]
theorem subset_insert (a : α) (s : finset α) : s ⊆ insert a s :=
λ b, mem_insert_of_mem
theorem insert_subset_insert (a : α) {s t : finset α} (h : s ⊆ t) : insert a s ⊆ insert a t :=
insert_subset.2 ⟨mem_insert_self _ _, subset.trans h (subset_insert _ _)⟩
lemma ssubset_iff {s t : finset α} : s ⊂ t ↔ (∃a ∉ s, insert a s ⊆ t) :=
by exact_mod_cast @set.ssubset_iff_insert α s t
lemma ssubset_insert {s : finset α} {a : α} (h : a ∉ s) : s ⊂ insert a s :=
ssubset_iff.mpr ⟨a, h, subset.refl _⟩
@[elab_as_eliminator]
protected theorem induction {α : Type*} {p : finset α → Prop} [decidable_eq α]
(h₁ : p ∅) (h₂ : ∀ ⦃a : α⦄ {s : finset α}, a ∉ s → p s → p (insert a s)) : ∀ s, p s
| ⟨s, nd⟩ := multiset.induction_on s (λ _, h₁) (λ a s IH nd, begin
cases nodup_cons.1 nd with m nd',
rw [← (eq_of_veq _ : insert a (finset.mk s _) = ⟨a ::ₘ s, nd⟩)],
{ exact h₂ (by exact m) (IH nd') },
{ rw [insert_val, ndinsert_of_not_mem m] }
end) nd
/--
To prove a proposition about an arbitrary `finset α`,
it suffices to prove it for the empty `finset`,
and to show that if it holds for some `finset α`,
then it holds for the `finset` obtained by inserting a new element.
-/
@[elab_as_eliminator]
protected theorem induction_on {α : Type*} {p : finset α → Prop} [decidable_eq α]
(s : finset α) (h₁ : p ∅) (h₂ : ∀ ⦃a : α⦄ {s : finset α}, a ∉ s → p s → p (insert a s)) : p s :=
finset.induction h₁ h₂ s
/--
To prove a proposition about `S : finset α`,
it suffices to prove it for the empty `finset`,
and to show that if it holds for some `finset α ⊆ S`,
then it holds for the `finset` obtained by inserting a new element of `S`.
-/
@[elab_as_eliminator]
theorem induction_on' {α : Type*} {p : finset α → Prop} [decidable_eq α]
(S : finset α) (h₁ : p ∅) (h₂ : ∀ {a s}, a ∈ S → s ⊆ S → a ∉ s → p s → p (insert a s)) : p S :=
@finset.induction_on α (λ T, T ⊆ S → p T) _ S (λ _, h₁) (λ a s has hqs hs,
let ⟨hS, sS⟩ := finset.insert_subset.1 hs in h₂ hS sS has (hqs sS)) (finset.subset.refl S)
/-- Inserting an element to a finite set is equivalent to the option type. -/
def subtype_insert_equiv_option {t : finset α} {x : α} (h : x ∉ t) :
{i // i ∈ insert x t} ≃ option {i // i ∈ t} :=
begin
refine
{ to_fun := λ y, if h : ↑y = x then none else some ⟨y, (mem_insert.mp y.2).resolve_left h⟩,
inv_fun := λ y, y.elim ⟨x, mem_insert_self _ _⟩ $ λ z, ⟨z, mem_insert_of_mem z.2⟩,
.. },
{ intro y, by_cases h : ↑y = x,
simp only [subtype.ext_iff, h, option.elim, dif_pos, subtype.coe_mk],
simp only [h, option.elim, dif_neg, not_false_iff, subtype.coe_eta, subtype.coe_mk] },
{ rintro (_|y), simp only [option.elim, dif_pos, subtype.coe_mk],
have : ↑y ≠ x, { rintro ⟨⟩, exact h y.2 },
simp only [this, option.elim, subtype.eta, dif_neg, not_false_iff, subtype.coe_eta,
subtype.coe_mk] },
end
/-! ### union -/
/-- `s ∪ t` is the set such that `a ∈ s ∪ t` iff `a ∈ s` or `a ∈ t`. -/
instance : has_union (finset α) := ⟨λ s₁ s₂, ⟨_, nodup_ndunion s₁.1 s₂.2⟩⟩
theorem union_val_nd (s₁ s₂ : finset α) : (s₁ ∪ s₂).1 = ndunion s₁.1 s₂.1 := rfl
@[simp] theorem union_val (s₁ s₂ : finset α) : (s₁ ∪ s₂).1 = s₁.1 ∪ s₂.1 :=
ndunion_eq_union s₁.2
@[simp] theorem mem_union {a : α} {s₁ s₂ : finset α} : a ∈ s₁ ∪ s₂ ↔ a ∈ s₁ ∨ a ∈ s₂ := mem_ndunion
@[simp] theorem disj_union_eq_union {α} [decidable_eq α] (s t h) : @disj_union α s t h = s ∪ t :=
ext $ λ a, by simp
theorem mem_union_left {a : α} {s₁ : finset α} (s₂ : finset α) (h : a ∈ s₁) : a ∈ s₁ ∪ s₂ :=
mem_union.2 $ or.inl h
theorem mem_union_right {a : α} {s₂ : finset α} (s₁ : finset α) (h : a ∈ s₂) : a ∈ s₁ ∪ s₂ :=
mem_union.2 $ or.inr h
theorem forall_mem_union {s₁ s₂ : finset α} {p : α → Prop} :
(∀ ab ∈ (s₁ ∪ s₂), p ab) ↔ (∀ a ∈ s₁, p a) ∧ (∀ b ∈ s₂, p b) :=
⟨λ h, ⟨λ a, h a ∘ mem_union_left _, λ b, h b ∘ mem_union_right _⟩,
λ h ab hab, (mem_union.mp hab).elim (h.1 _) (h.2 _)⟩
theorem not_mem_union {a : α} {s₁ s₂ : finset α} : a ∉ s₁ ∪ s₂ ↔ a ∉ s₁ ∧ a ∉ s₂ :=
by rw [mem_union, not_or_distrib]
@[simp, norm_cast]
lemma coe_union (s₁ s₂ : finset α) : ↑(s₁ ∪ s₂) = (s₁ ∪ s₂ : set α) := set.ext $ λ x, mem_union
theorem union_subset {s₁ s₂ s₃ : finset α} (h₁ : s₁ ⊆ s₃) (h₂ : s₂ ⊆ s₃) : s₁ ∪ s₂ ⊆ s₃ :=
val_le_iff.1 (ndunion_le.2 ⟨h₁, val_le_iff.2 h₂⟩)
theorem subset_union_left (s₁ s₂ : finset α) : s₁ ⊆ s₁ ∪ s₂ := λ x, mem_union_left _
theorem subset_union_right (s₁ s₂ : finset α) : s₂ ⊆ s₁ ∪ s₂ := λ x, mem_union_right _
lemma union_subset_union {s1 t1 s2 t2 : finset α} (h1 : s1 ⊆ t1) (h2 : s2 ⊆ t2) :
s1 ∪ s2 ⊆ t1 ∪ t2 :=
by { intros x hx, rw finset.mem_union at hx ⊢, tauto }
theorem union_comm (s₁ s₂ : finset α) : s₁ ∪ s₂ = s₂ ∪ s₁ :=
ext $ λ x, by simp only [mem_union, or_comm]
instance : is_commutative (finset α) (∪) := ⟨union_comm⟩
@[simp] theorem union_assoc (s₁ s₂ s₃ : finset α) : (s₁ ∪ s₂) ∪ s₃ = s₁ ∪ (s₂ ∪ s₃) :=
ext $ λ x, by simp only [mem_union, or_assoc]
instance : is_associative (finset α) (∪) := ⟨union_assoc⟩
@[simp] theorem union_idempotent (s : finset α) : s ∪ s = s :=
ext $ λ _, mem_union.trans $ or_self _
instance : is_idempotent (finset α) (∪) := ⟨union_idempotent⟩
theorem union_left_comm (s₁ s₂ s₃ : finset α) : s₁ ∪ (s₂ ∪ s₃) = s₂ ∪ (s₁ ∪ s₃) :=
ext $ λ _, by simp only [mem_union, or.left_comm]
theorem union_right_comm (s₁ s₂ s₃ : finset α) : (s₁ ∪ s₂) ∪ s₃ = (s₁ ∪ s₃) ∪ s₂ :=
ext $ λ x, by simp only [mem_union, or_assoc, or_comm (x ∈ s₂)]
theorem union_self (s : finset α) : s ∪ s = s := union_idempotent s
@[simp] theorem union_empty (s : finset α) : s ∪ ∅ = s :=
ext $ λ x, mem_union.trans $ or_false _
@[simp] theorem empty_union (s : finset α) : ∅ ∪ s = s :=
ext $ λ x, mem_union.trans $ false_or _
theorem insert_eq (a : α) (s : finset α) : insert a s = {a} ∪ s := rfl
@[simp] theorem insert_union (a : α) (s t : finset α) : insert a s ∪ t = insert a (s ∪ t) :=
by simp only [insert_eq, union_assoc]
@[simp] theorem union_insert (a : α) (s t : finset α) : s ∪ insert a t = insert a (s ∪ t) :=
by simp only [insert_eq, union_left_comm]
theorem insert_union_distrib (a : α) (s t : finset α) :
insert a (s ∪ t) = insert a s ∪ insert a t :=
by simp only [insert_union, union_insert, insert_idem]
@[simp] lemma union_eq_left_iff_subset {s t : finset α} :
s ∪ t = s ↔ t ⊆ s :=
begin
split,
{ assume h,
have : t ⊆ s ∪ t := subset_union_right _ _,
rwa h at this },
{ assume h,
exact subset.antisymm (union_subset (subset.refl _) h) (subset_union_left _ _) }
end
@[simp] lemma left_eq_union_iff_subset {s t : finset α} :
s = s ∪ t ↔ t ⊆ s :=
by rw [← union_eq_left_iff_subset, eq_comm]
@[simp] lemma union_eq_right_iff_subset {s t : finset α} :
t ∪ s = s ↔ t ⊆ s :=
by rw [union_comm, union_eq_left_iff_subset]
@[simp] lemma right_eq_union_iff_subset {s t : finset α} :
s = t ∪ s ↔ t ⊆ s :=
by rw [← union_eq_right_iff_subset, eq_comm]
/--
To prove a relation on pairs of `finset X`, it suffices to show that it is
* symmetric,
* it holds when one of the `finset`s is empty,
* it holds for pairs of singletons,
* if it holds for `[a, c]` and for `[b, c]`, then it holds for `[a ∪ b, c]`.
-/
lemma induction_on_union (P : finset α → finset α → Prop)
(symm : ∀ {a b}, P a b → P b a)
(empty_right : ∀ {a}, P a ∅)
(singletons : ∀ {a b}, P {a} {b})
(union_of : ∀ {a b c}, P a c → P b c → P (a ∪ b) c) :
∀ a b, P a b :=
begin
intros a b,
refine finset.induction_on b empty_right (λ x s xs hi, symm _),
rw finset.insert_eq,
apply union_of _ (symm hi),
refine finset.induction_on a empty_right (λ a t ta hi, symm _),
rw finset.insert_eq,
exact union_of singletons (symm hi),
end
/-! ### inter -/
/-- `s ∩ t` is the set such that `a ∈ s ∩ t` iff `a ∈ s` and `a ∈ t`. -/
instance : has_inter (finset α) := ⟨λ s₁ s₂, ⟨_, nodup_ndinter s₂.1 s₁.2⟩⟩
theorem inter_val_nd (s₁ s₂ : finset α) : (s₁ ∩ s₂).1 = ndinter s₁.1 s₂.1 := rfl
@[simp] theorem inter_val (s₁ s₂ : finset α) : (s₁ ∩ s₂).1 = s₁.1 ∩ s₂.1 :=
ndinter_eq_inter s₁.2
@[simp] theorem mem_inter {a : α} {s₁ s₂ : finset α} : a ∈ s₁ ∩ s₂ ↔ a ∈ s₁ ∧ a ∈ s₂ := mem_ndinter
theorem mem_of_mem_inter_left {a : α} {s₁ s₂ : finset α} (h : a ∈ s₁ ∩ s₂) :
a ∈ s₁ := (mem_inter.1 h).1
theorem mem_of_mem_inter_right {a : α} {s₁ s₂ : finset α} (h : a ∈ s₁ ∩ s₂) :
a ∈ s₂ := (mem_inter.1 h).2
theorem mem_inter_of_mem {a : α} {s₁ s₂ : finset α} : a ∈ s₁ → a ∈ s₂ → a ∈ s₁ ∩ s₂ :=
and_imp.1 mem_inter.2
theorem inter_subset_left (s₁ s₂ : finset α) : s₁ ∩ s₂ ⊆ s₁ := λ a, mem_of_mem_inter_left
theorem inter_subset_right (s₁ s₂ : finset α) : s₁ ∩ s₂ ⊆ s₂ := λ a, mem_of_mem_inter_right
theorem subset_inter {s₁ s₂ s₃ : finset α} : s₁ ⊆ s₂ → s₁ ⊆ s₃ → s₁ ⊆ s₂ ∩ s₃ :=
by simp only [subset_iff, mem_inter] {contextual:=tt}; intros; split; trivial
@[simp, norm_cast]
lemma coe_inter (s₁ s₂ : finset α) : ↑(s₁ ∩ s₂) = (s₁ ∩ s₂ : set α) := set.ext $ λ _, mem_inter
@[simp] theorem union_inter_cancel_left {s t : finset α} : (s ∪ t) ∩ s = s :=
by rw [← coe_inj, coe_inter, coe_union, set.union_inter_cancel_left]
@[simp] theorem union_inter_cancel_right {s t : finset α} : (s ∪ t) ∩ t = t :=
by rw [← coe_inj, coe_inter, coe_union, set.union_inter_cancel_right]
theorem inter_comm (s₁ s₂ : finset α) : s₁ ∩ s₂ = s₂ ∩ s₁ :=
ext $ λ _, by simp only [mem_inter, and_comm]
@[simp] theorem inter_assoc (s₁ s₂ s₃ : finset α) : (s₁ ∩ s₂) ∩ s₃ = s₁ ∩ (s₂ ∩ s₃) :=
ext $ λ _, by simp only [mem_inter, and_assoc]
theorem inter_left_comm (s₁ s₂ s₃ : finset α) : s₁ ∩ (s₂ ∩ s₃) = s₂ ∩ (s₁ ∩ s₃) :=
ext $ λ _, by simp only [mem_inter, and.left_comm]
theorem inter_right_comm (s₁ s₂ s₃ : finset α) : (s₁ ∩ s₂) ∩ s₃ = (s₁ ∩ s₃) ∩ s₂ :=
ext $ λ _, by simp only [mem_inter, and.right_comm]
@[simp] theorem inter_self (s : finset α) : s ∩ s = s :=
ext $ λ _, mem_inter.trans $ and_self _
@[simp] theorem inter_empty (s : finset α) : s ∩ ∅ = ∅ :=
ext $ λ _, mem_inter.trans $ and_false _
@[simp] theorem empty_inter (s : finset α) : ∅ ∩ s = ∅ :=
ext $ λ _, mem_inter.trans $ false_and _
@[simp] lemma inter_union_self (s t : finset α) : s ∩ (t ∪ s) = s :=
by rw [inter_comm, union_inter_cancel_right]
@[simp] theorem insert_inter_of_mem {s₁ s₂ : finset α} {a : α} (h : a ∈ s₂) :
insert a s₁ ∩ s₂ = insert a (s₁ ∩ s₂) :=
ext $ λ x, have x = a ∨ x ∈ s₂ ↔ x ∈ s₂, from or_iff_right_of_imp $ by rintro rfl; exact h,
by simp only [mem_inter, mem_insert, or_and_distrib_left, this]
@[simp] theorem inter_insert_of_mem {s₁ s₂ : finset α} {a : α} (h : a ∈ s₁) :
s₁ ∩ insert a s₂ = insert a (s₁ ∩ s₂) :=
by rw [inter_comm, insert_inter_of_mem h, inter_comm]
@[simp] theorem insert_inter_of_not_mem {s₁ s₂ : finset α} {a : α} (h : a ∉ s₂) :
insert a s₁ ∩ s₂ = s₁ ∩ s₂ :=
ext $ λ x, have ¬ (x = a ∧ x ∈ s₂), by rintro ⟨rfl, H⟩; exact h H,
by simp only [mem_inter, mem_insert, or_and_distrib_right, this, false_or]
@[simp] theorem inter_insert_of_not_mem {s₁ s₂ : finset α} {a : α} (h : a ∉ s₁) :
s₁ ∩ insert a s₂ = s₁ ∩ s₂ :=
by rw [inter_comm, insert_inter_of_not_mem h, inter_comm]
@[simp] theorem singleton_inter_of_mem {a : α} {s : finset α} (H : a ∈ s) : {a} ∩ s = {a} :=
show insert a ∅ ∩ s = insert a ∅, by rw [insert_inter_of_mem H, empty_inter]
@[simp] theorem singleton_inter_of_not_mem {a : α} {s : finset α} (H : a ∉ s) : {a} ∩ s = ∅ :=
eq_empty_of_forall_not_mem $ by simp only [mem_inter, mem_singleton]; rintro x ⟨rfl, h⟩; exact H h
@[simp] theorem inter_singleton_of_mem {a : α} {s : finset α} (h : a ∈ s) : s ∩ {a} = {a} :=
by rw [inter_comm, singleton_inter_of_mem h]
@[simp] theorem inter_singleton_of_not_mem {a : α} {s : finset α} (h : a ∉ s) : s ∩ {a} = ∅ :=
by rw [inter_comm, singleton_inter_of_not_mem h]
@[mono]
lemma inter_subset_inter {x y s t : finset α} (h : x ⊆ y) (h' : s ⊆ t) : x ∩ s ⊆ y ∩ t :=
begin
intros a a_in,
rw finset.mem_inter at a_in ⊢,
exact ⟨h a_in.1, h' a_in.2⟩
end
lemma inter_subset_inter_right {x y s : finset α} (h : x ⊆ y) : x ∩ s ⊆ y ∩ s :=
finset.inter_subset_inter h (finset.subset.refl _)
lemma inter_subset_inter_left {x y s : finset α} (h : x ⊆ y) : s ∩ x ⊆ s ∩ y :=
finset.inter_subset_inter (finset.subset.refl _) h
/-! ### lattice laws -/
instance : lattice (finset α) :=
{ sup := (∪),
sup_le := assume a b c, union_subset,
le_sup_left := subset_union_left,
le_sup_right := subset_union_right,
inf := (∩),
le_inf := assume a b c, subset_inter,
inf_le_left := inter_subset_left,
inf_le_right := inter_subset_right,
..finset.partial_order }
@[simp] theorem sup_eq_union (s t : finset α) : s ⊔ t = s ∪ t := rfl
@[simp] theorem inf_eq_inter (s t : finset α) : s ⊓ t = s ∩ t := rfl
instance : semilattice_inf_bot (finset α) :=
{ bot := ∅, bot_le := empty_subset, ..finset.lattice }
instance {α : Type*} [decidable_eq α] : semilattice_sup_bot (finset α) :=
{ ..finset.semilattice_inf_bot, ..finset.lattice }
instance : distrib_lattice (finset α) :=
{ le_sup_inf := assume a b c, show (a ∪ b) ∩ (a ∪ c) ⊆ a ∪ b ∩ c,
by simp only [subset_iff, mem_inter, mem_union, and_imp, or_imp_distrib] {contextual:=tt};
simp only [true_or, imp_true_iff, true_and, or_true],
..finset.lattice }
theorem inter_distrib_left (s t u : finset α) : s ∩ (t ∪ u) = (s ∩ t) ∪ (s ∩ u) := inf_sup_left
theorem inter_distrib_right (s t u : finset α) : (s ∪ t) ∩ u = (s ∩ u) ∪ (t ∩ u) := inf_sup_right
theorem union_distrib_left (s t u : finset α) : s ∪ (t ∩ u) = (s ∪ t) ∩ (s ∪ u) := sup_inf_left
theorem union_distrib_right (s t u : finset α) : (s ∩ t) ∪ u = (s ∪ u) ∩ (t ∪ u) := sup_inf_right
lemma union_eq_empty_iff (A B : finset α) : A ∪ B = ∅ ↔ A = ∅ ∧ B = ∅ := sup_eq_bot_iff
/-! ### erase -/
/-- `erase s a` is the set `s - {a}`, that is, the elements of `s` which are
not equal to `a`. -/
def erase (s : finset α) (a : α) : finset α := ⟨_, nodup_erase_of_nodup a s.2⟩
@[simp] theorem erase_val (s : finset α) (a : α) : (erase s a).1 = s.1.erase a := rfl
@[simp] theorem mem_erase {a b : α} {s : finset α} : a ∈ erase s b ↔ a ≠ b ∧ a ∈ s :=
mem_erase_iff_of_nodup s.2
theorem not_mem_erase (a : α) (s : finset α) : a ∉ erase s a := mem_erase_of_nodup s.2
@[simp] theorem erase_empty (a : α) : erase ∅ a = ∅ := rfl
theorem ne_of_mem_erase {a b : α} {s : finset α} : b ∈ erase s a → b ≠ a :=
by simp only [mem_erase]; exact and.left
theorem mem_of_mem_erase {a b : α} {s : finset α} : b ∈ erase s a → b ∈ s := mem_of_mem_erase
theorem mem_erase_of_ne_of_mem {a b : α} {s : finset α} : a ≠ b → a ∈ s → a ∈ erase s b :=
by simp only [mem_erase]; exact and.intro
/-- An element of `s` that is not an element of `erase s a` must be
`a`. -/
lemma eq_of_mem_of_not_mem_erase {a b : α} {s : finset α} (hs : b ∈ s)
(hsa : b ∉ s.erase a) : b = a :=
begin
rw [mem_erase, not_and] at hsa,
exact not_imp_not.mp hsa hs
end
theorem erase_insert {a : α} {s : finset α} (h : a ∉ s) : erase (insert a s) a = s :=
ext $ assume x, by simp only [mem_erase, mem_insert, and_or_distrib_left, not_and_self, false_or];
apply and_iff_right_of_imp; rintro H rfl; exact h H
theorem insert_erase {a : α} {s : finset α} (h : a ∈ s) : insert a (erase s a) = s :=
ext $ assume x, by simp only [mem_insert, mem_erase, or_and_distrib_left, dec_em, true_and];
apply or_iff_right_of_imp; rintro rfl; exact h
theorem erase_subset_erase (a : α) {s t : finset α} (h : s ⊆ t) : erase s a ⊆ erase t a :=
val_le_iff.1 $ erase_le_erase _ $ val_le_iff.2 h
theorem erase_subset (a : α) (s : finset α) : erase s a ⊆ s := erase_subset _ _
@[simp, norm_cast] lemma coe_erase (a : α) (s : finset α) : ↑(erase s a) = (s \ {a} : set α) :=
set.ext $ λ _, mem_erase.trans $ by rw [and_comm, set.mem_diff, set.mem_singleton_iff]; refl
lemma erase_ssubset {a : α} {s : finset α} (h : a ∈ s) : s.erase a ⊂ s :=
calc s.erase a ⊂ insert a (s.erase a) : ssubset_insert $ not_mem_erase _ _
... = _ : insert_erase h
theorem erase_eq_of_not_mem {a : α} {s : finset α} (h : a ∉ s) : erase s a = s :=
eq_of_veq $ erase_of_not_mem h
theorem subset_insert_iff {a : α} {s t : finset α} : s ⊆ insert a t ↔ erase s a ⊆ t :=
by simp only [subset_iff, or_iff_not_imp_left, mem_erase, mem_insert, and_imp];
exact forall_congr (λ x, forall_swap)
theorem erase_insert_subset (a : α) (s : finset α) : erase (insert a s) a ⊆ s :=
subset_insert_iff.1 $ subset.refl _
theorem insert_erase_subset (a : α) (s : finset α) : s ⊆ insert a (erase s a) :=
subset_insert_iff.2 $ subset.refl _
/-! ### sdiff -/
/-- `s \ t` is the set consisting of the elements of `s` that are not in `t`. -/
instance : has_sdiff (finset α) := ⟨λs₁ s₂, ⟨s₁.1 - s₂.1, nodup_of_le (sub_le_self _ _) s₁.2⟩⟩
@[simp] theorem mem_sdiff {a : α} {s₁ s₂ : finset α} :
a ∈ s₁ \ s₂ ↔ a ∈ s₁ ∧ a ∉ s₂ := mem_sub_of_nodup s₁.2
lemma not_mem_sdiff_of_mem_right {a : α} {s t : finset α} (h : a ∈ t) : a ∉ s \ t :=
by simp only [mem_sdiff, h, not_true, not_false_iff, and_false]
theorem sdiff_union_of_subset {s₁ s₂ : finset α} (h : s₁ ⊆ s₂) : (s₂ \ s₁) ∪ s₁ = s₂ :=
ext $ λ a, by simpa only [mem_sdiff, mem_union, or_comm,
or_and_distrib_left, dec_em, and_true] using or_iff_right_of_imp (@h a)
theorem union_sdiff_of_subset {s₁ s₂ : finset α} (h : s₁ ⊆ s₂) : s₁ ∪ (s₂ \ s₁) = s₂ :=
(union_comm _ _).trans (sdiff_union_of_subset h)
theorem inter_sdiff (s t u : finset α) : s ∩ (t \ u) = s ∩ t \ u :=
by { ext x, simp [and_assoc] }
@[simp] theorem inter_sdiff_self (s₁ s₂ : finset α) : s₁ ∩ (s₂ \ s₁) = ∅ :=
eq_empty_of_forall_not_mem $
by simp only [mem_inter, mem_sdiff]; rintro x ⟨h, _, hn⟩; exact hn h
@[simp] theorem sdiff_inter_self (s₁ s₂ : finset α) : (s₂ \ s₁) ∩ s₁ = ∅ :=
(inter_comm _ _).trans (inter_sdiff_self _ _)
@[simp] theorem sdiff_self (s₁ : finset α) : s₁ \ s₁ = ∅ :=
by ext; simp
theorem sdiff_inter_distrib_right (s₁ s₂ s₃ : finset α) : s₁ \ (s₂ ∩ s₃) = (s₁ \ s₂) ∪ (s₁ \ s₃) :=
by ext; simp only [and_or_distrib_left, mem_union, not_and_distrib, mem_sdiff, mem_inter]
@[simp] theorem sdiff_inter_self_left (s₁ s₂ : finset α) : s₁ \ (s₁ ∩ s₂) = s₁ \ s₂ :=
by simp only [sdiff_inter_distrib_right, sdiff_self, empty_union]
@[simp] theorem sdiff_inter_self_right (s₁ s₂ : finset α) : s₁ \ (s₂ ∩ s₁) = s₁ \ s₂ :=
by simp only [sdiff_inter_distrib_right, sdiff_self, union_empty]
@[simp] theorem sdiff_empty {s₁ : finset α} : s₁ \ ∅ = s₁ :=
ext (by simp)
@[mono]
theorem sdiff_subset_sdiff {s₁ s₂ t₁ t₂ : finset α} (h₁ : t₁ ⊆ t₂) (h₂ : s₂ ⊆ s₁) :
t₁ \ s₁ ⊆ t₂ \ s₂ :=
by simpa only [subset_iff, mem_sdiff, and_imp] using λ a m₁ m₂, and.intro (h₁ m₁) (mt (@h₂ _) m₂)
theorem sdiff_subset_self {s₁ s₂ : finset α} : s₁ \ s₂ ⊆ s₁ :=
suffices s₁ \ s₂ ⊆ s₁ \ ∅, by simpa [sdiff_empty] using this,
sdiff_subset_sdiff (subset.refl _) (empty_subset _)
@[simp, norm_cast] lemma coe_sdiff (s₁ s₂ : finset α) : ↑(s₁ \ s₂) = (s₁ \ s₂ : set α) :=
set.ext $ λ _, mem_sdiff
@[simp] theorem union_sdiff_self_eq_union {s t : finset α} : s ∪ (t \ s) = s ∪ t :=
ext $ λ a, by simp only [mem_union, mem_sdiff, or_iff_not_imp_left,
imp_and_distrib, and_iff_left id]
@[simp] theorem sdiff_union_self_eq_union {s t : finset α} : (s \ t) ∪ t = s ∪ t :=
by rw [union_comm, union_sdiff_self_eq_union, union_comm]
lemma union_sdiff_symm {s t : finset α} : s ∪ (t \ s) = t ∪ (s \ t) :=
by rw [union_sdiff_self_eq_union, union_sdiff_self_eq_union, union_comm]
lemma sdiff_union_inter (s t : finset α) : (s \ t) ∪ (s ∩ t) = s :=
by { simp only [ext_iff, mem_union, mem_sdiff, mem_inter], tauto }
@[simp] lemma sdiff_idem (s t : finset α) : s \ t \ t = s \ t :=
by { simp only [ext_iff, mem_sdiff], tauto }
lemma sdiff_eq_empty_iff_subset {s t : finset α} : s \ t = ∅ ↔ s ⊆ t :=
by { rw [subset_iff, ext_iff], simp }
@[simp] lemma empty_sdiff (s : finset α) : ∅ \ s = ∅ :=
by { rw sdiff_eq_empty_iff_subset, exact empty_subset _ }
lemma insert_sdiff_of_not_mem (s : finset α) {t : finset α} {x : α} (h : x ∉ t) :
(insert x s) \ t = insert x (s \ t) :=
begin
rw [← coe_inj, coe_insert, coe_sdiff, coe_sdiff, coe_insert],
exact set.insert_diff_of_not_mem s h
end
lemma insert_sdiff_of_mem (s : finset α) {t : finset α} {x : α} (h : x ∈ t) :
(insert x s) \ t = s \ t :=
begin
rw [← coe_inj, coe_sdiff, coe_sdiff, coe_insert],
exact set.insert_diff_of_mem s h
end
@[simp] lemma insert_sdiff_insert (s t : finset α) (x : α) :
(insert x s) \ (insert x t) = s \ insert x t :=
insert_sdiff_of_mem _ (mem_insert_self _ _)
lemma sdiff_insert_of_not_mem {s : finset α} {x : α} (h : x ∉ s) (t : finset α) :
s \ (insert x t) = s \ t :=
begin
refine subset.antisymm (sdiff_subset_sdiff (subset.refl _) (subset_insert _ _)) (λ y hy, _),
simp only [mem_sdiff, mem_insert, not_or_distrib] at hy ⊢,
exact ⟨hy.1, λ hxy, h $ hxy ▸ hy.1, hy.2⟩
end
@[simp] lemma sdiff_subset (s t : finset α) : s \ t ⊆ s :=
by simp [subset_iff, mem_sdiff] {contextual := tt}
lemma union_sdiff_distrib (s₁ s₂ t : finset α) : (s₁ ∪ s₂) \ t = s₁ \ t ∪ s₂ \ t :=
by { simp only [ext_iff, mem_sdiff, mem_union], tauto }
lemma sdiff_union_distrib (s t₁ t₂ : finset α) : s \ (t₁ ∪ t₂) = (s \ t₁) ∩ (s \ t₂) :=
by { simp only [ext_iff, mem_union, mem_sdiff, mem_inter], tauto }
lemma union_sdiff_self (s t : finset α) : (s ∪ t) \ t = s \ t :=
by rw [union_sdiff_distrib, sdiff_self, union_empty]
lemma sdiff_singleton_eq_erase (a : α) (s : finset α) : s \ singleton a = erase s a :=
by { ext, rw [mem_erase, mem_sdiff, mem_singleton], tauto }
lemma sdiff_sdiff_self_left (s t : finset α) : s \ (s \ t) = s ∩ t :=
by { simp only [ext_iff, mem_sdiff, mem_inter], tauto }
lemma inter_eq_inter_of_sdiff_eq_sdiff {s t₁ t₂ : finset α} : s \ t₁ = s \ t₂ → s ∩ t₁ = s ∩ t₂ :=
by { simp only [ext_iff, mem_sdiff, mem_inter], intros b c, replace b := b c, split; tauto }
end decidable_eq
/-! ### attach -/
/-- `attach s` takes the elements of `s` and forms a new set of elements of the
subtype `{x // x ∈ s}`. -/
def attach (s : finset α) : finset {x // x ∈ s} := ⟨attach s.1, nodup_attach.2 s.2⟩
theorem sizeof_lt_sizeof_of_mem [has_sizeof α] {x : α} {s : finset α} (hx : x ∈ s) :
sizeof x < sizeof s := by
{ cases s, dsimp [sizeof, has_sizeof.sizeof, finset.sizeof],
apply lt_add_left, exact multiset.sizeof_lt_sizeof_of_mem hx }
@[simp] theorem attach_val (s : finset α) : s.attach.1 = s.1.attach := rfl
@[simp] theorem mem_attach (s : finset α) : ∀ x, x ∈ s.attach := mem_attach _
@[simp] theorem attach_empty : attach (∅ : finset α) = ∅ := rfl
/-! ### piecewise -/
section piecewise
/-- `s.piecewise f g` is the function equal to `f` on the finset `s`, and to `g` on its
complement. -/
def piecewise {α : Type*} {δ : α → Sort*} (s : finset α) (f g : Πi, δ i) [∀j, decidable (j ∈ s)] :
Πi, δ i :=
λi, if i ∈ s then f i else g i
variables {δ : α → Sort*} (s : finset α) (f g : Πi, δ i)
@[simp] lemma piecewise_insert_self [decidable_eq α] {j : α} [∀i, decidable (i ∈ insert j s)] :
(insert j s).piecewise f g j = f j :=
by simp [piecewise]
@[simp] lemma piecewise_empty [∀i : α, decidable (i ∈ (∅ : finset α))] : piecewise ∅ f g = g :=
by { ext i, simp [piecewise] }
variable [∀j, decidable (j ∈ s)]
@[norm_cast] lemma piecewise_coe [∀j, decidable (j ∈ (s : set α))] :
(s : set α).piecewise f g = s.piecewise f g :=
by { ext, congr }
@[simp, priority 980]
lemma piecewise_eq_of_mem {i : α} (hi : i ∈ s) : s.piecewise f g i = f i :=
by simp [piecewise, hi]
@[simp, priority 980]
lemma piecewise_eq_of_not_mem {i : α} (hi : i ∉ s) : s.piecewise f g i = g i :=
by simp [piecewise, hi]
lemma piecewise_congr {f f' g g' : Π i, δ i} (hf : ∀ i ∈ s, f i = f' i) (hg : ∀ i ∉ s, g i = g' i) :
s.piecewise f g = s.piecewise f' g' :=
funext $ λ i, if_ctx_congr iff.rfl (hf i) (hg i)
@[simp, priority 990]
lemma piecewise_insert_of_ne [decidable_eq α] {i j : α} [∀i, decidable (i ∈ insert j s)]
(h : i ≠ j) : (insert j s).piecewise f g i = s.piecewise f g i :=
by simp [piecewise, h]
lemma piecewise_insert [decidable_eq α] (j : α) [∀i, decidable (i ∈ insert j s)] :
(insert j s).piecewise f g = update (s.piecewise f g) j (f j) :=
begin
classical,
rw [← piecewise_coe, ← piecewise_coe, ← set.piecewise_insert, ← coe_insert j s],
congr
end
lemma piecewise_cases {i} (p : δ i → Prop) (hf : p (f i)) (hg : p (g i)) : p (s.piecewise f g i) :=
by by_cases hi : i ∈ s; simpa [hi]
lemma piecewise_mem_set_pi {δ : α → Type*} {t : set α} {t' : Π i, set (δ i)}
{f g} (hf : f ∈ set.pi t t') (hg : g ∈ set.pi t t') : s.piecewise f g ∈ set.pi t t' :=
by { classical, rw ← piecewise_coe, exact set.piecewise_mem_pi ↑s hf hg }
lemma piecewise_singleton [decidable_eq α] (i : α) :
piecewise {i} f g = update g i (f i) :=
by rw [← insert_emptyc_eq, piecewise_insert, piecewise_empty]
lemma piecewise_piecewise_of_subset_left {s t : finset α} [Π i, decidable (i ∈ s)]
[Π i, decidable (i ∈ t)] (h : s ⊆ t) (f₁ f₂ g : Π a, δ a) :
s.piecewise (t.piecewise f₁ f₂) g = s.piecewise f₁ g :=
s.piecewise_congr (λ i hi, piecewise_eq_of_mem _ _ _ (h hi)) (λ _ _, rfl)
@[simp] lemma piecewise_idem_left (f₁ f₂ g : Π a, δ a) :
s.piecewise (s.piecewise f₁ f₂) g = s.piecewise f₁ g :=
piecewise_piecewise_of_subset_left (subset.refl _) _ _ _
lemma piecewise_piecewise_of_subset_right {s t : finset α} [Π i, decidable (i ∈ s)]
[Π i, decidable (i ∈ t)] (h : t ⊆ s) (f g₁ g₂ : Π a, δ a) :
s.piecewise f (t.piecewise g₁ g₂) = s.piecewise f g₂ :=
s.piecewise_congr (λ _ _, rfl) (λ i hi, t.piecewise_eq_of_not_mem _ _ (mt (@h _) hi))
@[simp] lemma piecewise_idem_right (f g₁ g₂ : Π a, δ a) :
s.piecewise f (s.piecewise g₁ g₂) = s.piecewise f g₂ :=
piecewise_piecewise_of_subset_right (subset.refl _) f g₁ g₂
lemma update_eq_piecewise {β : Type*} [decidable_eq α] (f : α → β) (i : α) (v : β) :
update f i v = piecewise (singleton i) (λj, v) f :=
(piecewise_singleton _ _ _).symm
lemma update_piecewise [decidable_eq α] (i : α) (v : δ i) :
update (s.piecewise f g) i v = s.piecewise (update f i v) (update g i v) :=
begin
ext j,
rcases em (j = i) with (rfl|hj); by_cases hs : j ∈ s; simp *
end
lemma update_piecewise_of_mem [decidable_eq α] {i : α} (hi : i ∈ s) (v : δ i) :
update (s.piecewise f g) i v = s.piecewise (update f i v) g :=
begin
rw update_piecewise,
refine s.piecewise_congr (λ _ _, rfl) (λ j hj, update_noteq _ _ _),
exact λ h, hj (h.symm ▸ hi)
end
lemma update_piecewise_of_not_mem [decidable_eq α] {i : α} (hi : i ∉ s) (v : δ i) :
update (s.piecewise f g) i v = s.piecewise f (update g i v) :=
begin
rw update_piecewise,
refine s.piecewise_congr (λ j hj, update_noteq _ _ _) (λ _ _, rfl),
exact λ h, hi (h ▸ hj)
end
lemma piecewise_le_of_le_of_le {δ : α → Type*} [Π i, preorder (δ i)] {f g h : Π i, δ i}
(Hf : f ≤ h) (Hg : g ≤ h) : s.piecewise f g ≤ h :=
λ x, piecewise_cases s f g (≤ h x) (Hf x) (Hg x)
lemma le_piecewise_of_le_of_le {δ : α → Type*} [Π i, preorder (δ i)] {f g h : Π i, δ i}
(Hf : h ≤ f) (Hg : h ≤ g) : h ≤ s.piecewise f g :=
λ x, piecewise_cases s f g (λ y, h x ≤ y) (Hf x) (Hg x)
lemma piecewise_le_piecewise' {δ : α → Type*} [Π i, preorder (δ i)] {f g f' g' : Π i, δ i}
(Hf : ∀ x ∈ s, f x ≤ f' x) (Hg : ∀ x ∉ s, g x ≤ g' x) : s.piecewise f g ≤ s.piecewise f' g' :=
λ x, by { by_cases hx : x ∈ s; simp [hx, *] }
lemma piecewise_le_piecewise {δ : α → Type*} [Π i, preorder (δ i)] {f g f' g' : Π i, δ i}
(Hf : f ≤ f') (Hg : g ≤ g') : s.piecewise f g ≤ s.piecewise f' g' :=
s.piecewise_le_piecewise' (λ x _, Hf x) (λ x _, Hg x)
lemma piecewise_mem_Icc_of_mem_of_mem {δ : α → Type*} [Π i, preorder (δ i)] {f f₁ g g₁ : Π i, δ i}
(hf : f ∈ set.Icc f₁ g₁) (hg : g ∈ set.Icc f₁ g₁) :
s.piecewise f g ∈ set.Icc f₁ g₁ :=
⟨le_piecewise_of_le_of_le _ hf.1 hg.1, piecewise_le_of_le_of_le _ hf.2 hg.2⟩
lemma piecewise_mem_Icc {δ : α → Type*} [Π i, preorder (δ i)] {f g : Π i, δ i} (h : f ≤ g) :
s.piecewise f g ∈ set.Icc f g :=
piecewise_mem_Icc_of_mem_of_mem _ (set.left_mem_Icc.2 h) (set.right_mem_Icc.2 h)
lemma piecewise_mem_Icc' {δ : α → Type*} [Π i, preorder (δ i)] {f g : Π i, δ i} (h : g ≤ f) :
s.piecewise f g ∈ set.Icc g f :=
piecewise_mem_Icc_of_mem_of_mem _ (set.right_mem_Icc.2 h) (set.left_mem_Icc.2 h)
end piecewise
section decidable_pi_exists
variables {s : finset α}
instance decidable_dforall_finset {p : Πa∈s, Prop} [hp : ∀a (h : a ∈ s), decidable (p a h)] :
decidable (∀a (h : a ∈ s), p a h) :=
multiset.decidable_dforall_multiset
/-- decidable equality for functions whose domain is bounded by finsets -/
instance decidable_eq_pi_finset {β : α → Type*} [h : ∀a, decidable_eq (β a)] :
decidable_eq (Πa∈s, β a) :=
multiset.decidable_eq_pi_multiset
instance decidable_dexists_finset {p : Πa∈s, Prop} [hp : ∀a (h : a ∈ s), decidable (p a h)] :
decidable (∃a (h : a ∈ s), p a h) :=
multiset.decidable_dexists_multiset
end decidable_pi_exists
/-! ### filter -/
section filter
variables (p q : α → Prop) [decidable_pred p] [decidable_pred q]
/-- `filter p s` is the set of elements of `s` that satisfy `p`. -/
def filter (s : finset α) : finset α :=
⟨_, nodup_filter p s.2⟩
@[simp] theorem filter_val (s : finset α) : (filter p s).1 = s.1.filter p := rfl
@[simp] theorem filter_subset (s : finset α) : s.filter p ⊆ s := filter_subset _ _
variable {p}
@[simp] theorem mem_filter {s : finset α} {a : α} : a ∈ s.filter p ↔ a ∈ s ∧ p a := mem_filter
theorem filter_ssubset {s : finset α} : s.filter p ⊂ s ↔ ∃ x ∈ s, ¬ p x :=
⟨λ h, let ⟨x, hs, hp⟩ := set.exists_of_ssubset h in ⟨x, hs, mt (λ hp, mem_filter.2 ⟨hs, hp⟩) hp⟩,
λ ⟨x, hs, hp⟩, ⟨s.filter_subset _, λ h, hp (mem_filter.1 (h hs)).2⟩⟩
variable (p)
theorem filter_filter (s : finset α) : (s.filter p).filter q = s.filter (λa, p a ∧ q a) :=
ext $ assume a, by simp only [mem_filter, and_comm, and.left_comm]
lemma filter_true {s : finset α} [h : decidable_pred (λ _, true)] :
@finset.filter α (λ _, true) h s = s :=
by ext; simp
@[simp] theorem filter_false {h} (s : finset α) : @filter α (λa, false) h s = ∅ :=
ext $ assume a, by simp only [mem_filter, and_false]; refl
variables {p q}
/-- If all elements of a `finset` satisfy the predicate `p`, `s.filter p` is `s`. -/
@[simp] lemma filter_true_of_mem {s : finset α} (h : ∀ x ∈ s, p x) : s.filter p = s :=
ext $ λ x, ⟨λ h, (mem_filter.1 h).1, λ hx, mem_filter.2 ⟨hx, h x hx⟩⟩
/-- If all elements of a `finset` fail to satisfy the predicate `p`, `s.filter p` is `∅`. -/
lemma filter_false_of_mem {s : finset α} (h : ∀ x ∈ s, ¬ p x) : s.filter p = ∅ :=
eq_empty_of_forall_not_mem (by simpa)
lemma filter_congr {s : finset α} (H : ∀ x ∈ s, p x ↔ q x) : filter p s = filter q s :=
eq_of_veq $ filter_congr H
variables (p q)
lemma filter_empty : filter p ∅ = ∅ := subset_empty.1 $ filter_subset _ _
lemma filter_subset_filter {s t : finset α} (h : s ⊆ t) : s.filter p ⊆ t.filter p :=
assume a ha, mem_filter.2 ⟨h (mem_filter.1 ha).1, (mem_filter.1 ha).2⟩
@[simp, norm_cast] lemma coe_filter (s : finset α) : ↑(s.filter p) = ({x ∈ ↑s | p x} : set α) :=
set.ext $ λ _, mem_filter
theorem filter_singleton (a : α) : filter p (singleton a) = if p a then singleton a else ∅ :=
by { classical, ext x, simp, split_ifs with h; by_cases h' : x = a; simp [h, h'] }
variable [decidable_eq α]
theorem filter_union (s₁ s₂ : finset α) : (s₁ ∪ s₂).filter p = s₁.filter p ∪ s₂.filter p :=
ext $ λ _, by simp only [mem_filter, mem_union, or_and_distrib_right]
theorem filter_union_right (s : finset α) : s.filter p ∪ s.filter q = s.filter (λx, p x ∨ q x) :=
ext $ λ x, by simp only [mem_filter, mem_union, and_or_distrib_left.symm]
lemma filter_mem_eq_inter {s t : finset α} [Π i, decidable (i ∈ t)] :
s.filter (λ i, i ∈ t) = s ∩ t :=
ext $ λ i, by rw [mem_filter, mem_inter]
theorem filter_inter (s t : finset α) : filter p s ∩ t = filter p (s ∩ t) :=
by { ext, simp only [mem_inter, mem_filter, and.right_comm] }
theorem inter_filter (s t : finset α) : s ∩ filter p t = filter p (s ∩ t) :=
by rw [inter_comm, filter_inter, inter_comm]
theorem filter_insert (a : α) (s : finset α) :
filter p (insert a s) = if p a then insert a (filter p s) else filter p s :=
by { ext x, simp, split_ifs with h; by_cases h' : x = a; simp [h, h'] }
theorem filter_or [decidable_pred (λ a, p a ∨ q a)] (s : finset α) :
s.filter (λ a, p a ∨ q a) = s.filter p ∪ s.filter q :=
ext $ λ _, by simp only [mem_filter, mem_union, and_or_distrib_left]
theorem filter_and [decidable_pred (λ a, p a ∧ q a)] (s : finset α) :
s.filter (λ a, p a ∧ q a) = s.filter p ∩ s.filter q :=
ext $ λ _, by simp only [mem_filter, mem_inter, and_comm, and.left_comm, and_self]
theorem filter_not [decidable_pred (λ a, ¬ p a)] (s : finset α) :
s.filter (λ a, ¬ p a) = s \ s.filter p :=
ext $ by simpa only [mem_filter, mem_sdiff, and_comm, not_and] using λ a, and_congr_right $
λ h : a ∈ s, (imp_iff_right h).symm.trans imp_not_comm
theorem sdiff_eq_filter (s₁ s₂ : finset α) :
s₁ \ s₂ = filter (∉ s₂) s₁ := ext $ λ _, by simp only [mem_sdiff, mem_filter]
theorem sdiff_eq_self (s₁ s₂ : finset α) :
s₁ \ s₂ = s₁ ↔ s₁ ∩ s₂ ⊆ ∅ :=
by { simp [subset.antisymm_iff,sdiff_subset_self],
split; intro h,
{ transitivity' ((s₁ \ s₂) ∩ s₂), mono, simp },
{ calc s₁ \ s₂
⊇ s₁ \ (s₁ ∩ s₂) : by simp [(⊇)]
... ⊇ s₁ \ ∅ : by mono using [(⊇)]
... ⊇ s₁ : by simp [(⊇)] } }
theorem filter_union_filter_neg_eq [decidable_pred (λ a, ¬ p a)]
(s : finset α) : s.filter p ∪ s.filter (λa, ¬ p a) = s :=
by simp only [filter_not, union_sdiff_of_subset (filter_subset p s)]
theorem filter_inter_filter_neg_eq (s : finset α) : s.filter p ∩ s.filter (λa, ¬ p a) = ∅ :=
by simp only [filter_not, inter_sdiff_self]
lemma subset_union_elim {s : finset α} {t₁ t₂ : set α} (h : ↑s ⊆ t₁ ∪ t₂) :
∃s₁ s₂ : finset α, s₁ ∪ s₂ = s ∧ ↑s₁ ⊆ t₁ ∧ ↑s₂ ⊆ t₂ \ t₁ :=
begin
classical,
refine ⟨s.filter (∈ t₁), s.filter (∉ t₁), _, _ , _⟩,
{ simp [filter_union_right, em] },
{ intro x, simp },
{ intro x, simp, intros hx hx₂, refine ⟨or.resolve_left (h hx) hx₂, hx₂⟩ }
end
/- We can simplify an application of filter where the decidability is inferred in "the wrong way" -/
@[simp] lemma filter_congr_decidable {α} (s : finset α) (p : α → Prop) (h : decidable_pred p)
[decidable_pred p] : @filter α p h s = s.filter p :=
by congr
section classical
open_locale classical
/-- The following instance allows us to write `{ x ∈ s | p x }` for `finset.filter s p`.
Since the former notation requires us to define this for all propositions `p`, and `finset.filter`
only works for decidable propositions, the notation `{ x ∈ s | p x }` is only compatible with
classical logic because it uses `classical.prop_decidable`.
We don't want to redo all lemmas of `finset.filter` for `has_sep.sep`, so we make sure that `simp`
unfolds the notation `{ x ∈ s | p x }` to `finset.filter s p`. If `p` happens to be decidable, the
simp-lemma `filter_congr_decidable` will make sure that `finset.filter` uses the right instance
for decidability.
-/
noncomputable instance {α : Type*} : has_sep α (finset α) := ⟨λ p x, x.filter p⟩
@[simp] lemma sep_def {α : Type*} (s : finset α) (p : α → Prop) : {x ∈ s | p x} = s.filter p := rfl
end classical
/--
After filtering out everything that does not equal a given value, at most that value remains.
This is equivalent to `filter_eq'` with the equality the other way.
-/
-- This is not a good simp lemma, as it would prevent `finset.mem_filter` from firing
-- on, e.g. `x ∈ s.filter(eq b)`.
lemma filter_eq [decidable_eq β] (s : finset β) (b : β) :
s.filter (eq b) = ite (b ∈ s) {b} ∅ :=
begin
split_ifs,
{ ext,
simp only [mem_filter, mem_singleton],
exact ⟨λ h, h.2.symm, by { rintro ⟨h⟩, exact ⟨h, rfl⟩, }⟩ },
{ ext,
simp only [mem_filter, not_and, iff_false, not_mem_empty],
rintros m ⟨e⟩, exact h m, }
end
/--
After filtering out everything that does not equal a given value, at most that value remains.
This is equivalent to `filter_eq` with the equality the other way.
-/
lemma filter_eq' [decidable_eq β] (s : finset β) (b : β) :
s.filter (λ a, a = b) = ite (b ∈ s) {b} ∅ :=
trans (filter_congr (λ _ _, ⟨eq.symm, eq.symm⟩)) (filter_eq s b)
lemma filter_ne [decidable_eq β] (s : finset β) (b : β) :
s.filter (λ a, b ≠ a) = s.erase b :=
by { ext, simp only [mem_filter, mem_erase, ne.def], cc, }
lemma filter_ne' [decidable_eq β] (s : finset β) (b : β) :
s.filter (λ a, a ≠ b) = s.erase b :=
trans (filter_congr (λ _ _, ⟨ne.symm, ne.symm⟩)) (filter_ne s b)
end filter
/-! ### range -/
section range
variables {n m l : ℕ}
/-- `range n` is the set of natural numbers less than `n`. -/
def range (n : ℕ) : finset ℕ := ⟨_, nodup_range n⟩
@[simp] theorem range_coe (n : ℕ) : (range n).1 = multiset.range n := rfl
@[simp] theorem mem_range : m ∈ range n ↔ m < n := mem_range
@[simp] theorem range_zero : range 0 = ∅ := rfl
@[simp] theorem range_one : range 1 = {0} := rfl
theorem range_succ : range (succ n) = insert n (range n) :=
eq_of_veq $ (range_succ n).trans $ (ndinsert_of_not_mem not_mem_range_self).symm
theorem range_add_one : range (n + 1) = insert n (range n) :=
range_succ
@[simp] theorem not_mem_range_self : n ∉ range n := not_mem_range_self
@[simp] theorem self_mem_range_succ (n : ℕ) : n ∈ range (n + 1) := multiset.self_mem_range_succ n
@[simp] theorem range_subset {n m} : range n ⊆ range m ↔ n ≤ m := range_subset
theorem range_mono : monotone range := λ _ _, range_subset.2
lemma mem_range_succ_iff {a b : ℕ} : a ∈ finset.range b.succ ↔ a ≤ b :=
finset.mem_range.trans nat.lt_succ_iff
end range
/- useful rules for calculations with quantifiers -/
theorem exists_mem_empty_iff (p : α → Prop) : (∃ x, x ∈ (∅ : finset α) ∧ p x) ↔ false :=
by simp only [not_mem_empty, false_and, exists_false]
theorem exists_mem_insert [d : decidable_eq α]
(a : α) (s : finset α) (p : α → Prop) :
(∃ x, x ∈ insert a s ∧ p x) ↔ p a ∨ (∃ x, x ∈ s ∧ p x) :=
by simp only [mem_insert, or_and_distrib_right, exists_or_distrib, exists_eq_left]
theorem forall_mem_empty_iff (p : α → Prop) : (∀ x, x ∈ (∅ : finset α) → p x) ↔ true :=
iff_true_intro $ λ _, false.elim
theorem forall_mem_insert [d : decidable_eq α]
(a : α) (s : finset α) (p : α → Prop) :
(∀ x, x ∈ insert a s → p x) ↔ p a ∧ (∀ x, x ∈ s → p x) :=
by simp only [mem_insert, or_imp_distrib, forall_and_distrib, forall_eq]
end finset
/-- Equivalence between the set of natural numbers which are `≥ k` and `ℕ`, given by `n → n - k`. -/
def not_mem_range_equiv (k : ℕ) : {n // n ∉ range k} ≃ ℕ :=
{ to_fun := λ i, i.1 - k,
inv_fun := λ j, ⟨j + k, by simp⟩,
left_inv :=
begin
assume j,
rw subtype.ext_iff_val,
apply nat.sub_add_cancel,
simpa using j.2
end,
right_inv := λ j, nat.add_sub_cancel _ _ }
@[simp] lemma coe_not_mem_range_equiv (k : ℕ) :
(not_mem_range_equiv k : {n // n ∉ range k} → ℕ) = (λ i, i - k) := rfl
@[simp] lemma coe_not_mem_range_equiv_symm (k : ℕ) :
((not_mem_range_equiv k).symm : ℕ → {n // n ∉ range k}) = λ j, ⟨j + k, by simp⟩ := rfl
namespace option
/-- Construct an empty or singleton finset from an `option` -/
def to_finset (o : option α) : finset α :=
match o with
| none := ∅
| some a := {a}
end
@[simp] theorem to_finset_none : none.to_finset = (∅ : finset α) := rfl
@[simp] theorem to_finset_some {a : α} : (some a).to_finset = {a} := rfl
@[simp] theorem mem_to_finset {a : α} {o : option α} : a ∈ o.to_finset ↔ a ∈ o :=
by cases o; simp only [to_finset, finset.mem_singleton, option.mem_def, eq_comm]; refl
end option
/-! ### erase_dup on list and multiset -/
namespace multiset
variable [decidable_eq α]
/-- `to_finset s` removes duplicates from the multiset `s` to produce a finset. -/
def to_finset (s : multiset α) : finset α := ⟨_, nodup_erase_dup s⟩
@[simp] theorem to_finset_val (s : multiset α) : s.to_finset.1 = s.erase_dup := rfl
theorem to_finset_eq {s : multiset α} (n : nodup s) : finset.mk s n = s.to_finset :=
finset.val_inj.1 (erase_dup_eq_self.2 n).symm
@[simp] theorem mem_to_finset {a : α} {s : multiset α} : a ∈ s.to_finset ↔ a ∈ s :=
mem_erase_dup
@[simp] lemma to_finset_zero :
to_finset (0 : multiset α) = ∅ :=
rfl
@[simp] lemma to_finset_cons (a : α) (s : multiset α) :
to_finset (a ::ₘ s) = insert a (to_finset s) :=
finset.eq_of_veq erase_dup_cons
@[simp] lemma to_finset_add (s t : multiset α) :
to_finset (s + t) = to_finset s ∪ to_finset t :=
finset.ext $ by simp
@[simp] lemma to_finset_nsmul (s : multiset α) :
∀(n : ℕ) (hn : n ≠ 0), (n •ℕ s).to_finset = s.to_finset
| 0 h := by contradiction
| (n+1) h :=
begin
by_cases n = 0,
{ rw [h, zero_add, one_nsmul] },
{ rw [add_nsmul, to_finset_add, one_nsmul, to_finset_nsmul n h, finset.union_idempotent] }
end
@[simp] lemma to_finset_inter (s t : multiset α) :
to_finset (s ∩ t) = to_finset s ∩ to_finset t :=
finset.ext $ by simp
@[simp] lemma to_finset_union (s t : multiset α) :
(s ∪ t).to_finset = s.to_finset ∪ t.to_finset :=
by ext; simp
theorem to_finset_eq_empty {m : multiset α} : m.to_finset = ∅ ↔ m = 0 :=
finset.val_inj.symm.trans multiset.erase_dup_eq_zero
@[simp] lemma to_finset_subset (m1 m2 : multiset α) :
m1.to_finset ⊆ m2.to_finset ↔ m1 ⊆ m2 :=
by simp only [finset.subset_iff, multiset.subset_iff, multiset.mem_to_finset]
end multiset
namespace finset
@[simp] lemma val_to_finset [decidable_eq α] (s : finset α) : s.val.to_finset = s :=
by { ext, rw [multiset.mem_to_finset, ←mem_def] }
end finset
namespace list
variable [decidable_eq α]
/-- `to_finset l` removes duplicates from the list `l` to produce a finset. -/
def to_finset (l : list α) : finset α := multiset.to_finset l
@[simp] theorem to_finset_val (l : list α) : l.to_finset.1 = (l.erase_dup : multiset α) := rfl
theorem to_finset_eq {l : list α} (n : nodup l) : @finset.mk α l n = l.to_finset :=
multiset.to_finset_eq n
@[simp] theorem mem_to_finset {a : α} {l : list α} : a ∈ l.to_finset ↔ a ∈ l :=
mem_erase_dup
@[simp] theorem to_finset_nil : to_finset (@nil α) = ∅ :=
rfl
@[simp] theorem to_finset_cons {a : α} {l : list α} : to_finset (a :: l) = insert a (to_finset l) :=
finset.eq_of_veq $ by by_cases h : a ∈ l; simp [finset.insert_val', multiset.erase_dup_cons, h]
lemma to_finset_surj_on : set.surj_on to_finset {l : list α | l.nodup} set.univ :=
begin
rintro s -,
cases s with t hl, induction t using quot.ind with l,
refine ⟨l, hl, (to_finset_eq hl).symm⟩
end
theorem to_finset_surjective : surjective (to_finset : list α → finset α) :=
by { intro s, rcases to_finset_surj_on (set.mem_univ s) with ⟨l, -, hls⟩, exact ⟨l, hls⟩ }
end list
namespace finset
/-! ### map -/
section map
open function
/-- When `f` is an embedding of `α` in `β` and `s` is a finset in `α`, then `s.map f` is the image
finset in `β`. The embedding condition guarantees that there are no duplicates in the image. -/
def map (f : α ↪ β) (s : finset α) : finset β :=
⟨s.1.map f, nodup_map f.2 s.2⟩
@[simp] theorem map_val (f : α ↪ β) (s : finset α) : (map f s).1 = s.1.map f := rfl
@[simp] theorem map_empty (f : α ↪ β) : (∅ : finset α).map f = ∅ := rfl
variables {f : α ↪ β} {s : finset α}
@[simp] theorem mem_map {b : β} : b ∈ s.map f ↔ ∃ a ∈ s, f a = b :=
mem_map.trans $ by simp only [exists_prop]; refl
@[simp] theorem mem_map_equiv {f : α ≃ β} {b : β} :
b ∈ s.map f.to_embedding ↔ f.symm b ∈ s :=
by { rw mem_map, exact ⟨by { rintro ⟨a, H, rfl⟩, simpa }, λ h, ⟨_, h, by simp⟩⟩ }
theorem mem_map' (f : α ↪ β) {a} {s : finset α} : f a ∈ s.map f ↔ a ∈ s :=
mem_map_of_injective f.2
theorem mem_map_of_mem (f : α ↪ β) {a} {s : finset α} : a ∈ s → f a ∈ s.map f :=
(mem_map' _).2
@[simp, norm_cast] theorem coe_map (f : α ↪ β) (s : finset α) : (↑(s.map f) : set β) = f '' ↑s :=
set.ext $ λ x, mem_map.trans set.mem_image_iff_bex.symm
theorem coe_map_subset_range (f : α ↪ β) (s : finset α) : (↑(s.map f) : set β) ⊆ set.range f :=
calc ↑(s.map f) = f '' ↑s : coe_map f s
... ⊆ set.range f : set.image_subset_range f ↑s
theorem map_to_finset [decidable_eq α] [decidable_eq β] {s : multiset α} :
s.to_finset.map f = (s.map f).to_finset :=
ext $ λ _, by simp only [mem_map, multiset.mem_map, exists_prop, multiset.mem_to_finset]
@[simp] theorem map_refl : s.map (embedding.refl _) = s :=
ext $ λ _, by simpa only [mem_map, exists_prop] using exists_eq_right
theorem map_map {g : β ↪ γ} : (s.map f).map g = s.map (f.trans g) :=
eq_of_veq $ by simp only [map_val, multiset.map_map]; refl
theorem map_subset_map {s₁ s₂ : finset α} : s₁.map f ⊆ s₂.map f ↔ s₁ ⊆ s₂ :=
⟨λ h x xs, (mem_map' _).1 $ h $ (mem_map' f).2 xs,
λ h, by simp [subset_def, map_subset_map h]⟩
theorem map_inj {s₁ s₂ : finset α} : s₁.map f = s₂.map f ↔ s₁ = s₂ :=
by simp only [subset.antisymm_iff, map_subset_map]
/-- Associate to an embedding `f` from `α` to `β` the embedding that maps a finset to its image
under `f`. -/
def map_embedding (f : α ↪ β) : finset α ↪ finset β := ⟨map f, λ s₁ s₂, map_inj.1⟩
@[simp] theorem map_embedding_apply : map_embedding f s = map f s := rfl
theorem map_filter {p : β → Prop} [decidable_pred p] :
(s.map f).filter p = (s.filter (p ∘ f)).map f :=
ext $ λ b, by simp only [mem_filter, mem_map, exists_prop, and_assoc]; exact
⟨by rintro ⟨⟨x, h1, rfl⟩, h2⟩; exact ⟨x, h1, h2, rfl⟩,
by rintro ⟨x, h1, h2, rfl⟩; exact ⟨⟨x, h1, rfl⟩, h2⟩⟩
theorem map_union [decidable_eq α] [decidable_eq β]
{f : α ↪ β} (s₁ s₂ : finset α) : (s₁ ∪ s₂).map f = s₁.map f ∪ s₂.map f :=
ext $ λ _, by simp only [mem_map, mem_union, exists_prop, or_and_distrib_right, exists_or_distrib]
theorem map_inter [decidable_eq α] [decidable_eq β]
{f : α ↪ β} (s₁ s₂ : finset α) : (s₁ ∩ s₂).map f = s₁.map f ∩ s₂.map f :=
ext $ λ b, by simp only [mem_map, mem_inter, exists_prop]; exact
⟨by rintro ⟨a, ⟨m₁, m₂⟩, rfl⟩; exact ⟨⟨a, m₁, rfl⟩, ⟨a, m₂, rfl⟩⟩,
by rintro ⟨⟨a, m₁, e⟩, ⟨a', m₂, rfl⟩⟩; cases f.2 e; exact ⟨_, ⟨m₁, m₂⟩, rfl⟩⟩
@[simp] theorem map_singleton (f : α ↪ β) (a : α) : map f {a} = {f a} :=
ext $ λ _, by simp only [mem_map, mem_singleton, exists_prop, exists_eq_left]; exact eq_comm
@[simp] theorem map_insert [decidable_eq α] [decidable_eq β]
(f : α ↪ β) (a : α) (s : finset α) :
(insert a s).map f = insert (f a) (s.map f) :=
by simp only [insert_eq, map_union, map_singleton]
@[simp] theorem map_eq_empty : s.map f = ∅ ↔ s = ∅ :=
⟨λ h, eq_empty_of_forall_not_mem $
λ a m, ne_empty_of_mem (mem_map_of_mem _ m) h, λ e, e.symm ▸ rfl⟩
lemma attach_map_val {s : finset α} : s.attach.map (embedding.subtype _) = s :=
eq_of_veq $ by rw [map_val, attach_val]; exact attach_map_val _
lemma nonempty.map (h : s.nonempty) (f : α ↪ β) : (s.map f).nonempty :=
let ⟨a, ha⟩ := h in ⟨f a, (mem_map' f).mpr ha⟩
end map
lemma range_add_one' (n : ℕ) :
range (n + 1) = insert 0 ((range n).map ⟨λi, i + 1, assume i j, nat.succ.inj⟩) :=
by ext (⟨⟩ | ⟨n⟩); simp [nat.succ_eq_add_one, nat.zero_lt_succ n]
/-! ### image -/
section image
variables [decidable_eq β]
/-- `image f s` is the forward image of `s` under `f`. -/
def image (f : α → β) (s : finset α) : finset β := (s.1.map f).to_finset
@[simp] theorem image_val (f : α → β) (s : finset α) : (image f s).1 = (s.1.map f).erase_dup := rfl
@[simp] theorem image_empty (f : α → β) : (∅ : finset α).image f = ∅ := rfl
variables {f : α → β} {s : finset α}
@[simp] theorem mem_image {b : β} : b ∈ s.image f ↔ ∃ a ∈ s, f a = b :=
by simp only [mem_def, image_val, mem_erase_dup, multiset.mem_map, exists_prop]
theorem mem_image_of_mem (f : α → β) {a} {s : finset α} (h : a ∈ s) : f a ∈ s.image f :=
mem_image.2 ⟨_, h, rfl⟩
lemma filter_mem_image_eq_image (f : α → β) (s : finset α) (t : finset β) (h : ∀ x ∈ s, f x ∈ t) :
t.filter (λ y, y ∈ s.image f) = s.image f :=
by { ext, rw [mem_filter, mem_image],
simp only [and_imp, exists_prop, and_iff_right_iff_imp, exists_imp_distrib],
rintros x xel rfl, exact h _ xel }
lemma fiber_nonempty_iff_mem_image (f : α → β) (s : finset α) (y : β) :
(s.filter (λ x, f x = y)).nonempty ↔ y ∈ s.image f :=
by simp [finset.nonempty]
@[simp, norm_cast] lemma coe_image {f : α → β} : ↑(s.image f) = f '' ↑s :=
set.ext $ λ _, mem_image.trans set.mem_image_iff_bex.symm
lemma nonempty.image (h : s.nonempty) (f : α → β) : (s.image f).nonempty :=
let ⟨a, ha⟩ := h in ⟨f a, mem_image_of_mem f ha⟩
@[simp]
lemma nonempty.image_iff (f : α → β) : (s.image f).nonempty ↔ s.nonempty :=
⟨λ ⟨y, hy⟩, let ⟨x, hx, _⟩ := mem_image.mp hy in ⟨x, hx⟩, λ h, h.image f⟩
theorem image_to_finset [decidable_eq α] {s : multiset α} :
s.to_finset.image f = (s.map f).to_finset :=
ext $ λ _, by simp only [mem_image, multiset.mem_to_finset, exists_prop, multiset.mem_map]
theorem image_val_of_inj_on (H : ∀x∈s, ∀y∈s, f x = f y → x = y) : (image f s).1 = s.1.map f :=
multiset.erase_dup_eq_self.2 (nodup_map_on H s.2)
@[simp]
theorem image_id [decidable_eq α] : s.image id = s :=
ext $ λ _, by simp only [mem_image, exists_prop, id, exists_eq_right]
theorem image_image [decidable_eq γ] {g : β → γ} : (s.image f).image g = s.image (g ∘ f) :=
eq_of_veq $ by simp only [image_val, erase_dup_map_erase_dup_eq, multiset.map_map]
theorem image_subset_image {s₁ s₂ : finset α} (h : s₁ ⊆ s₂) : s₁.image f ⊆ s₂.image f :=
by simp only [subset_def, image_val, subset_erase_dup', erase_dup_subset',
multiset.map_subset_map h]
theorem image_subset_iff {s : finset α} {t : finset β} {f : α → β} :
s.image f ⊆ t ↔ ∀ x ∈ s, f x ∈ t :=
calc s.image f ⊆ t ↔ f '' ↑s ⊆ ↑t : by norm_cast
... ↔ _ : set.image_subset_iff
theorem image_mono (f : α → β) : monotone (finset.image f) := λ _ _, image_subset_image
theorem coe_image_subset_range : ↑(s.image f) ⊆ set.range f :=
calc ↑(s.image f) = f '' ↑s : coe_image
... ⊆ set.range f : set.image_subset_range f ↑s
theorem image_filter {p : β → Prop} [decidable_pred p] :
(s.image f).filter p = (s.filter (p ∘ f)).image f :=
ext $ λ b, by simp only [mem_filter, mem_image, exists_prop]; exact
⟨by rintro ⟨⟨x, h1, rfl⟩, h2⟩; exact ⟨x, ⟨h1, h2⟩, rfl⟩,
by rintro ⟨x, ⟨h1, h2⟩, rfl⟩; exact ⟨⟨x, h1, rfl⟩, h2⟩⟩
theorem image_union [decidable_eq α] {f : α → β} (s₁ s₂ : finset α) :
(s₁ ∪ s₂).image f = s₁.image f ∪ s₂.image f :=
ext $ λ _, by simp only [mem_image, mem_union, exists_prop, or_and_distrib_right,
exists_or_distrib]
theorem image_inter [decidable_eq α] (s₁ s₂ : finset α) (hf : ∀x y, f x = f y → x = y) :
(s₁ ∩ s₂).image f = s₁.image f ∩ s₂.image f :=
ext $ by simp only [mem_image, exists_prop, mem_inter]; exact λ b,
⟨λ ⟨a, ⟨m₁, m₂⟩, e⟩, ⟨⟨a, m₁, e⟩, ⟨a, m₂, e⟩⟩,
λ ⟨⟨a, m₁, e₁⟩, ⟨a', m₂, e₂⟩⟩, ⟨a, ⟨m₁, hf _ _ (e₂.trans e₁.symm) ▸ m₂⟩, e₁⟩⟩.
@[simp] theorem image_singleton (f : α → β) (a : α) : image f {a} = {f a} :=
ext $ λ x, by simpa only [mem_image, exists_prop, mem_singleton, exists_eq_left] using eq_comm
@[simp] theorem image_insert [decidable_eq α] (f : α → β) (a : α) (s : finset α) :
(insert a s).image f = insert (f a) (s.image f) :=
by simp only [insert_eq, image_singleton, image_union]
@[simp] theorem image_eq_empty : s.image f = ∅ ↔ s = ∅ :=
⟨λ h, eq_empty_of_forall_not_mem $
λ a m, ne_empty_of_mem (mem_image_of_mem _ m) h, λ e, e.symm ▸ rfl⟩
lemma attach_image_val [decidable_eq α] {s : finset α} : s.attach.image subtype.val = s :=
eq_of_veq $ by rw [image_val, attach_val, multiset.attach_map_val, erase_dup_eq_self]
@[simp] lemma attach_insert [decidable_eq α] {a : α} {s : finset α} :
attach (insert a s) = insert (⟨a, mem_insert_self a s⟩ : {x // x ∈ insert a s})
((attach s).image (λx, ⟨x.1, mem_insert_of_mem x.2⟩)) :=
ext $ λ ⟨x, hx⟩, ⟨or.cases_on (mem_insert.1 hx)
(λ h : x = a, λ _, mem_insert.2 $ or.inl $ subtype.eq h)
(λ h : x ∈ s, λ _, mem_insert_of_mem $ mem_image.2 $ ⟨⟨x, h⟩, mem_attach _ _, subtype.eq rfl⟩),
λ _, finset.mem_attach _ _⟩
theorem map_eq_image (f : α ↪ β) (s : finset α) : s.map f = s.image f :=
eq_of_veq $ (multiset.erase_dup_eq_self.2 (s.map f).2).symm
lemma image_const {s : finset α} (h : s.nonempty) (b : β) : s.image (λa, b) = singleton b :=
ext $ assume b', by simp only [mem_image, exists_prop, exists_and_distrib_right,
h.bex, true_and, mem_singleton, eq_comm]
/--
Because `finset.image` requires a `decidable_eq` instances for the target type,
we can only construct a `functor finset` when working classically.
-/
instance [Π P, decidable P] : functor finset :=
{ map := λ α β f s, s.image f, }
instance [Π P, decidable P] : is_lawful_functor finset :=
{ id_map := λ α x, image_id,
comp_map := λ α β γ f g s, image_image.symm, }
/-- Given a finset `s` and a predicate `p`, `s.subtype p` is the finset of `subtype p` whose
elements belong to `s`. -/
protected def subtype {α} (p : α → Prop) [decidable_pred p] (s : finset α) : finset (subtype p) :=
(s.filter p).attach.map ⟨λ x, ⟨x.1, (finset.mem_filter.1 x.2).2⟩,
λ x y H, subtype.eq $ subtype.mk.inj H⟩
@[simp] lemma mem_subtype {p : α → Prop} [decidable_pred p] {s : finset α} :
∀{a : subtype p}, a ∈ s.subtype p ↔ (a : α) ∈ s
| ⟨a, ha⟩ := by simp [finset.subtype, ha]
lemma subtype_eq_empty {p : α → Prop} [decidable_pred p] {s : finset α} :
s.subtype p = ∅ ↔ ∀ x, p x → x ∉ s :=
by simp [ext_iff, subtype.forall, subtype.coe_mk]; refl
/-- `s.subtype p` converts back to `s.filter p` with
`embedding.subtype`. -/
@[simp] lemma subtype_map (p : α → Prop) [decidable_pred p] :
(s.subtype p).map (embedding.subtype _) = s.filter p :=
begin
ext x,
rw mem_map,
change (∃ a : {x // p x}, ∃ H, (a : α) = x) ↔ _,
split,
{ rintros ⟨y, hy, hyval⟩,
rw [mem_subtype, hyval] at hy,
rw mem_filter,
use hy,
rw ← hyval,
use y.property },
{ intro hx,
rw mem_filter at hx,
use ⟨⟨x, hx.2⟩, mem_subtype.2 hx.1, rfl⟩ }
end
/-- If all elements of a `finset` satisfy the predicate `p`,
`s.subtype p` converts back to `s` with `embedding.subtype`. -/
lemma subtype_map_of_mem {p : α → Prop} [decidable_pred p] (h : ∀ x ∈ s, p x) :
(s.subtype p).map (embedding.subtype _) = s :=
by rw [subtype_map, filter_true_of_mem h]
/-- If a `finset` of a subtype is converted to the main type with
`embedding.subtype`, all elements of the result have the property of
the subtype. -/
lemma property_of_mem_map_subtype {p : α → Prop} (s : finset {x // p x}) {a : α}
(h : a ∈ s.map (embedding.subtype _)) : p a :=
begin
rcases mem_map.1 h with ⟨x, hx, rfl⟩,
exact x.2
end
/-- If a `finset` of a subtype is converted to the main type with
`embedding.subtype`, the result does not contain any value that does
not satisfy the property of the subtype. -/
lemma not_mem_map_subtype_of_not_property {p : α → Prop} (s : finset {x // p x})
{a : α} (h : ¬ p a) : a ∉ (s.map (embedding.subtype _)) :=
mt s.property_of_mem_map_subtype h
/-- If a `finset` of a subtype is converted to the main type with
`embedding.subtype`, the result is a subset of the set giving the
subtype. -/
lemma map_subtype_subset {t : set α} (s : finset t) :
↑(s.map (embedding.subtype _)) ⊆ t :=
begin
intros a ha,
rw mem_coe at ha,
convert property_of_mem_map_subtype s ha
end
lemma subset_image_iff {f : α → β}
{s : finset β} {t : set α} : ↑s ⊆ f '' t ↔ ∃s' : finset α, ↑s' ⊆ t ∧ s'.image f = s :=
begin
classical,
split, swap,
{ rintro ⟨s, hs, rfl⟩, rw [coe_image], exact set.image_subset f hs },
intro h, induction s using finset.induction with a s has ih h,
{ refine ⟨∅, set.empty_subset _, _⟩,
convert finset.image_empty _ },
rw [finset.coe_insert, set.insert_subset] at h,
rcases ih h.2 with ⟨s', hst, hsi⟩,
rcases h.1 with ⟨x, hxt, rfl⟩,
refine ⟨insert x s', _, _⟩,
{ rw [finset.coe_insert, set.insert_subset], exact ⟨hxt, hst⟩ },
rw [finset.image_insert, hsi],
congr
end
end image
end finset
theorem multiset.to_finset_map [decidable_eq α] [decidable_eq β] (f : α → β) (m : multiset α) :
(m.map f).to_finset = m.to_finset.image f :=
finset.val_inj.1 (multiset.erase_dup_map_erase_dup_eq _ _).symm
namespace finset
/-! ### card -/
section card
/-- `card s` is the cardinality (number of elements) of `s`. -/
def card (s : finset α) : nat := s.1.card
theorem card_def (s : finset α) : s.card = s.1.card := rfl
@[simp] lemma card_mk {m nodup} : (⟨m, nodup⟩ : finset α).card = m.card := rfl
@[simp] theorem card_empty : card (∅ : finset α) = 0 := rfl
@[simp] theorem card_eq_zero {s : finset α} : card s = 0 ↔ s = ∅ :=
card_eq_zero.trans val_eq_zero
theorem card_pos {s : finset α} : 0 < card s ↔ s.nonempty :=
pos_iff_ne_zero.trans $ (not_congr card_eq_zero).trans nonempty_iff_ne_empty.symm
theorem card_ne_zero_of_mem {s : finset α} {a : α} (h : a ∈ s) : card s ≠ 0 :=
(not_congr card_eq_zero).2 (ne_empty_of_mem h)
theorem card_eq_one {s : finset α} : s.card = 1 ↔ ∃ a, s = {a} :=
by cases s; simp only [multiset.card_eq_one, finset.card, ← val_inj, singleton_val]
theorem card_le_one {s : finset α} : s.card ≤ 1 ↔ ∀ (a ∈ s) (b ∈ s), a = b :=
begin
rcases s.eq_empty_or_nonempty with rfl|⟨x, hx⟩, { simp },
refine (nat.succ_le_of_lt (card_pos.2 ⟨x, hx⟩)).le_iff_eq.trans (card_eq_one.trans ⟨_, _⟩),
{ rintro ⟨y, rfl⟩, simp },
{ exact λ h, ⟨x, eq_singleton_iff_unique_mem.2 ⟨hx, λ y hy, h _ hy _ hx⟩⟩ }
end
theorem one_lt_card {s : finset α} : 1 < s.card ↔ ∃ (a ∈ s) (b ∈ s), a ≠ b :=
by { rw ← not_iff_not, push_neg, exact card_le_one }
@[simp] theorem card_insert_of_not_mem [decidable_eq α]
{a : α} {s : finset α} (h : a ∉ s) : card (insert a s) = card s + 1 :=
by simpa only [card_cons, card, insert_val] using
congr_arg multiset.card (ndinsert_of_not_mem h)
theorem card_insert_of_mem [decidable_eq α] {a : α} {s : finset α}
(h : a ∈ s) : card (insert a s) = card s := by rw insert_eq_of_mem h
theorem card_insert_le [decidable_eq α] (a : α) (s : finset α) : card (insert a s) ≤ card s + 1 :=
by by_cases a ∈ s; [{rw [insert_eq_of_mem h], apply nat.le_add_right},
rw [card_insert_of_not_mem h]]
@[simp] theorem card_singleton (a : α) : card ({a} : finset α) = 1 := card_singleton _
lemma card_singleton_inter [decidable_eq α] {x : α} {s : finset α} : ({x} ∩ s).card ≤ 1 :=
begin
cases (finset.decidable_mem x s),
{ simp [finset.singleton_inter_of_not_mem h] },
{ simp [finset.singleton_inter_of_mem h] },
end
theorem card_erase_of_mem [decidable_eq α] {a : α} {s : finset α} :
a ∈ s → card (erase s a) = pred (card s) := card_erase_of_mem
theorem card_erase_lt_of_mem [decidable_eq α] {a : α} {s : finset α} :
a ∈ s → card (erase s a) < card s := card_erase_lt_of_mem
theorem card_erase_le [decidable_eq α] {a : α} {s : finset α} :
card (erase s a) ≤ card s := card_erase_le
theorem pred_card_le_card_erase [decidable_eq α] {a : α} {s : finset α} :
card s - 1 ≤ card (erase s a) :=
begin
by_cases h : a ∈ s,
{ rw [card_erase_of_mem h], refl },
{ rw [erase_eq_of_not_mem h], apply nat.sub_le }
end
@[simp] theorem card_range (n : ℕ) : card (range n) = n := card_range n
@[simp] theorem card_attach {s : finset α} : card (attach s) = card s := multiset.card_attach
end card
end finset
theorem multiset.to_finset_card_le [decidable_eq α] (m : multiset α) : m.to_finset.card ≤ m.card :=
card_le_of_le (erase_dup_le _)
theorem list.to_finset_card_le [decidable_eq α] (l : list α) : l.to_finset.card ≤ l.length :=
multiset.to_finset_card_le ⟦l⟧
namespace finset
section card
theorem card_image_le [decidable_eq β] {f : α → β} {s : finset α} : card (image f s) ≤ card s :=
by simpa only [card_map] using (s.1.map f).to_finset_card_le
theorem card_image_of_inj_on [decidable_eq β] {f : α → β} {s : finset α}
(H : ∀x∈s, ∀y∈s, f x = f y → x = y) : card (image f s) = card s :=
by simp only [card, image_val_of_inj_on H, card_map]
theorem card_image_of_injective [decidable_eq β] {f : α → β} (s : finset α)
(H : injective f) : card (image f s) = card s :=
card_image_of_inj_on $ λ x _ y _ h, H h
lemma fiber_card_ne_zero_iff_mem_image (s : finset α) (f : α → β) [decidable_eq β] (y : β) :
(s.filter (λ x, f x = y)).card ≠ 0 ↔ y ∈ s.image f :=
by { rw [←pos_iff_ne_zero, card_pos, fiber_nonempty_iff_mem_image] }
@[simp] lemma card_map {α β} (f : α ↪ β) {s : finset α} : (s.map f).card = s.card :=
multiset.card_map _ _
@[simp] lemma card_subtype (p : α → Prop) [decidable_pred p] (s : finset α) :
(s.subtype p).card = (s.filter p).card :=
by simp [finset.subtype]
lemma card_eq_of_bijective {s : finset α} {n : ℕ}
(f : ∀i, i < n → α)
(hf : ∀a∈s, ∃i, ∃h:i<n, f i h = a) (hf' : ∀i (h : i < n), f i h ∈ s)
(f_inj : ∀i j (hi : i < n) (hj : j < n), f i hi = f j hj → i = j) :
card s = n :=
begin
classical,
have : ∀ (a : α), a ∈ s ↔ ∃i (hi : i ∈ range n), f i (mem_range.1 hi) = a,
from assume a, ⟨assume ha, let ⟨i, hi, eq⟩ := hf a ha in ⟨i, mem_range.2 hi, eq⟩,
assume ⟨i, hi, eq⟩, eq ▸ hf' i (mem_range.1 hi)⟩,
have : s = ((range n).attach.image $ λi, f i.1 (mem_range.1 i.2)),
by simpa only [ext_iff, mem_image, exists_prop, subtype.exists, mem_attach, true_and],
calc card s = card ((range n).attach.image $ λi, f i.1 (mem_range.1 i.2)) :
by rw [this]
... = card ((range n).attach) :
card_image_of_injective _ $ assume ⟨i, hi⟩ ⟨j, hj⟩ eq,
subtype.eq $ f_inj i j (mem_range.1 hi) (mem_range.1 hj) eq
... = card (range n) : card_attach
... = n : card_range n
end
lemma card_eq_succ [decidable_eq α] {s : finset α} {n : ℕ} :
s.card = n + 1 ↔ (∃a t, a ∉ t ∧ insert a t = s ∧ card t = n) :=
iff.intro
(assume eq,
have 0 < card s, from eq.symm ▸ nat.zero_lt_succ _,
let ⟨a, has⟩ := card_pos.mp this in
⟨a, s.erase a, s.not_mem_erase a, insert_erase has,
by simp only [eq, card_erase_of_mem has, pred_succ]⟩)
(assume ⟨a, t, hat, s_eq, n_eq⟩, s_eq ▸ n_eq ▸ card_insert_of_not_mem hat)
theorem card_le_of_subset {s t : finset α} : s ⊆ t → card s ≤ card t :=
multiset.card_le_of_le ∘ val_le_iff.mpr
theorem card_filter_le (s : finset α) (p : α → Prop) [decidable_pred p] :
card (s.filter p) ≤ card s :=
card_le_of_subset $ filter_subset _ _
theorem eq_of_subset_of_card_le {s t : finset α} (h : s ⊆ t) (h₂ : card t ≤ card s) : s = t :=
eq_of_veq $ multiset.eq_of_le_of_card_le (val_le_iff.mpr h) h₂
lemma card_lt_card {s t : finset α} (h : s ⊂ t) : s.card < t.card :=
card_lt_of_lt (val_lt_iff.2 h)
lemma card_le_card_of_inj_on {s : finset α} {t : finset β}
(f : α → β) (hf : ∀a∈s, f a ∈ t) (f_inj : ∀a₁∈s, ∀a₂∈s, f a₁ = f a₂ → a₁ = a₂) :
card s ≤ card t :=
begin
classical,
calc card s = card (s.image f) : by rw [card_image_of_inj_on f_inj]
... ≤ card t : card_le_of_subset $ image_subset_iff.2 hf
end
/--
If there are more pigeons than pigeonholes, then there are two pigeons
in the same pigeonhole.
-/
lemma exists_ne_map_eq_of_card_lt_of_maps_to {s : finset α} {t : finset β} (hc : t.card < s.card)
{f : α → β} (hf : ∀ a ∈ s, f a ∈ t) :
∃ (x ∈ s) (y ∈ s), x ≠ y ∧ f x = f y :=
begin
classical, by_contra hz, push_neg at hz,
refine hc.not_le (card_le_card_of_inj_on f hf _),
intros x hx y hy, contrapose, exact hz x hx y hy,
end
lemma le_card_of_inj_on_range {n} {s : finset α}
(f : ℕ → α) (hf : ∀i<n, f i ∈ s) (f_inj : ∀ (i<n) (j<n), f i = f j → i = j) : n ≤ card s :=
calc n = card (range n) : (card_range n).symm
... ≤ card s : card_le_card_of_inj_on f (by simpa only [mem_range]) (by simpa only [mem_range])
/-- Suppose that, given objects defined on all strict subsets of any finset `s`, one knows how to
define an object on `s`. Then one can inductively define an object on all finsets, starting from
the empty set and iterating. This can be used either to define data, or to prove properties. -/
@[elab_as_eliminator] def strong_induction_on {p : finset α → Sort*} :
∀ (s : finset α), (∀s, (∀t ⊂ s, p t) → p s) → p s
| ⟨s, nd⟩ ih := multiset.strong_induction_on s
(λ s IH nd, ih ⟨s, nd⟩ (λ ⟨t, nd'⟩ ss, IH t (val_lt_iff.2 ss) nd')) nd
@[elab_as_eliminator] lemma case_strong_induction_on [decidable_eq α] {p : finset α → Prop}
(s : finset α) (h₀ : p ∅) (h₁ : ∀ a s, a ∉ s → (∀t ⊆ s, p t) → p (insert a s)) : p s :=
finset.strong_induction_on s $ λ s,
finset.induction_on s (λ _, h₀) $ λ a s n _ ih, h₁ a s n $
λ t ss, ih _ (lt_of_le_of_lt ss (ssubset_insert n) : t < _)
lemma card_congr {s : finset α} {t : finset β} (f : Π a ∈ s, β)
(h₁ : ∀ a ha, f a ha ∈ t) (h₂ : ∀ a b ha hb, f a ha = f b hb → a = b)
(h₃ : ∀ b ∈ t, ∃ a ha, f a ha = b) : s.card = t.card :=
by haveI := classical.prop_decidable; exact
calc s.card = s.attach.card : card_attach.symm
... = (s.attach.image (λ (a : {a // a ∈ s}), f a.1 a.2)).card :
eq.symm (card_image_of_injective _ (λ a b h, subtype.eq (h₂ _ _ _ _ h)))
... = t.card : congr_arg card (finset.ext $ λ b,
⟨λ h, let ⟨a, ha₁, ha₂⟩ := mem_image.1 h in ha₂ ▸ h₁ _ _,
λ h, let ⟨a, ha₁, ha₂⟩ := h₃ b h in mem_image.2 ⟨⟨a, ha₁⟩, by simp [ha₂]⟩⟩)
lemma card_union_add_card_inter [decidable_eq α] (s t : finset α) :
(s ∪ t).card + (s ∩ t).card = s.card + t.card :=
finset.induction_on t (by simp) $ λ a r har, by by_cases a ∈ s; simp *; cc
lemma card_union_le [decidable_eq α] (s t : finset α) :
(s ∪ t).card ≤ s.card + t.card :=
card_union_add_card_inter s t ▸ le_add_right _ _
lemma card_union_eq [decidable_eq α] {s t : finset α} (h : disjoint s t) :
(s ∪ t).card = s.card + t.card :=
begin
rw [← card_union_add_card_inter],
convert (add_zero _).symm, rw [card_eq_zero], rwa [disjoint_iff] at h
end
lemma surj_on_of_inj_on_of_card_le {s : finset α} {t : finset β}
(f : Π a ∈ s, β) (hf : ∀ a ha, f a ha ∈ t)
(hinj : ∀ a₁ a₂ ha₁ ha₂, f a₁ ha₁ = f a₂ ha₂ → a₁ = a₂)
(hst : card t ≤ card s) :
(∀ b ∈ t, ∃ a ha, b = f a ha) :=
by haveI := classical.dec_eq β; exact
λ b hb,
have h : card (image (λ (a : {a // a ∈ s}), f a a.prop) (attach s)) = card s,
from @card_attach _ s ▸ card_image_of_injective _
(λ ⟨a₁, ha₁⟩ ⟨a₂, ha₂⟩ h, subtype.eq $ hinj _ _ _ _ h),
have h₁ : image (λ a : {a // a ∈ s}, f a a.prop) s.attach = t :=
eq_of_subset_of_card_le (λ b h, let ⟨a, ha₁, ha₂⟩ := mem_image.1 h in
ha₂ ▸ hf _ _) (by simp [hst, h]),
begin
rw ← h₁ at hb,
rcases mem_image.1 hb with ⟨a, ha₁, ha₂⟩,
exact ⟨a, a.2, ha₂.symm⟩,
end
open function
lemma inj_on_of_surj_on_of_card_le {s : finset α} {t : finset β}
(f : Π a ∈ s, β) (hf : ∀ a ha, f a ha ∈ t)
(hsurj : ∀ b ∈ t, ∃ a ha, b = f a ha)
(hst : card s ≤ card t)
⦃a₁ a₂⦄ (ha₁ : a₁ ∈ s) (ha₂ : a₂ ∈ s)
(ha₁a₂: f a₁ ha₁ = f a₂ ha₂) : a₁ = a₂ :=
by haveI : inhabited {x // x ∈ s} := ⟨⟨a₁, ha₁⟩⟩; exact
let f' : {x // x ∈ s} → {x // x ∈ t} := λ x, ⟨f x.1 x.2, hf x.1 x.2⟩ in
let g : {x // x ∈ t} → {x // x ∈ s} :=
@surj_inv _ _ f'
(λ x, let ⟨y, hy₁, hy₂⟩ := hsurj x.1 x.2 in ⟨⟨y, hy₁⟩, subtype.eq hy₂.symm⟩) in
have hg : injective g, from injective_surj_inv _,
have hsg : surjective g, from λ x,
let ⟨y, hy⟩ := surj_on_of_inj_on_of_card_le (λ (x : {x // x ∈ t}) (hx : x ∈ t.attach), g x)
(λ x _, show (g x) ∈ s.attach, from mem_attach _ _)
(λ x y _ _ hxy, hg hxy) (by simpa) x (mem_attach _ _) in
⟨y, hy.snd.symm⟩,
have hif : injective f',
from (left_inverse_of_surjective_of_right_inverse hsg
(right_inverse_surj_inv _)).injective,
subtype.ext_iff_val.1 (@hif ⟨a₁, ha₁⟩ ⟨a₂, ha₂⟩ (subtype.eq ha₁a₂))
end card
section bUnion
/-!
### bUnion
This section is about the bounded union of an indexed family `t : α → finset β` of finite sets
over a finite set `s : finset α`.
-/
variables [decidable_eq β] {s : finset α} {t : α → finset β}
/-- `bUnion s t` is the union of `t x` over `x ∈ s`.
(This was formerly `bind` due to the monad structure on types with `decidable_eq`.) -/
protected def bUnion (s : finset α) (t : α → finset β) : finset β :=
(s.1.bind (λ a, (t a).1)).to_finset
@[simp] theorem bUnion_val (s : finset α) (t : α → finset β) :
(s.bUnion t).1 = (s.1.bind (λ a, (t a).1)).erase_dup := rfl
@[simp] theorem bUnion_empty : finset.bUnion ∅ t = ∅ := rfl
@[simp] theorem mem_bUnion {b : β} : b ∈ s.bUnion t ↔ ∃a∈s, b ∈ t a :=
by simp only [mem_def, bUnion_val, mem_erase_dup, mem_bind, exists_prop]
@[simp] theorem bUnion_insert [decidable_eq α] {a : α} : (insert a s).bUnion t = t a ∪ s.bUnion t :=
ext $ λ x, by simp only [mem_bUnion, exists_prop, mem_union, mem_insert,
or_and_distrib_right, exists_or_distrib, exists_eq_left]
-- ext $ λ x, by simp [or_and_distrib_right, exists_or_distrib]
@[simp] lemma singleton_bUnion {a : α} : finset.bUnion {a} t = t a :=
begin
classical,
rw [← insert_emptyc_eq, bUnion_insert, bUnion_empty, union_empty]
end
theorem bUnion_inter (s : finset α) (f : α → finset β) (t : finset β) :
s.bUnion f ∩ t = s.bUnion (λ x, f x ∩ t) :=
begin
ext x,
simp only [mem_bUnion, mem_inter],
tauto
end
theorem inter_bUnion (t : finset β) (s : finset α) (f : α → finset β) :
t ∩ s.bUnion f = s.bUnion (λ x, t ∩ f x) :=
by rw [inter_comm, bUnion_inter]; simp [inter_comm]
theorem image_bUnion [decidable_eq γ] {f : α → β} {s : finset α} {t : β → finset γ} :
(s.image f).bUnion t = s.bUnion (λa, t (f a)) :=
by haveI := classical.dec_eq α; exact
finset.induction_on s rfl (λ a s has ih,
by simp only [image_insert, bUnion_insert, ih])
theorem bUnion_image [decidable_eq γ] {s : finset α} {t : α → finset β} {f : β → γ} :
(s.bUnion t).image f = s.bUnion (λa, (t a).image f) :=
by haveI := classical.dec_eq α; exact
finset.induction_on s rfl (λ a s has ih,
by simp only [bUnion_insert, image_union, ih])
theorem bind_to_finset [decidable_eq α] (s : multiset α) (t : α → multiset β) :
(s.bind t).to_finset = s.to_finset.bUnion (λa, (t a).to_finset) :=
ext $ λ x, by simp only [multiset.mem_to_finset, mem_bUnion, multiset.mem_bind, exists_prop]
lemma bUnion_mono {t₁ t₂ : α → finset β} (h : ∀a∈s, t₁ a ⊆ t₂ a) : s.bUnion t₁ ⊆ s.bUnion t₂ :=
have ∀b a, a ∈ s → b ∈ t₁ a → (∃ (a : α), a ∈ s ∧ b ∈ t₂ a),
from assume b a ha hb, ⟨a, ha, finset.mem_of_subset (h a ha) hb⟩,
by simpa only [subset_iff, mem_bUnion, exists_imp_distrib, and_imp, exists_prop]
lemma bUnion_subset_bUnion_of_subset_left {α : Type*} {s₁ s₂ : finset α}
(t : α → finset β) (h : s₁ ⊆ s₂) : s₁.bUnion t ⊆ s₂.bUnion t :=
begin
intro x,
simp only [and_imp, mem_bUnion, exists_prop],
exact Exists.imp (λ a ha, ⟨h ha.1, ha.2⟩)
end
lemma bUnion_singleton {f : α → β} : s.bUnion (λa, {f a}) = s.image f :=
ext $ λ x, by simp only [mem_bUnion, mem_image, mem_singleton, eq_comm]
@[simp] lemma bUnion_singleton_eq_self [decidable_eq α] :
s.bUnion (singleton : α → finset α) = s :=
by { rw bUnion_singleton, exact image_id }
lemma bUnion_filter_eq_of_maps_to [decidable_eq α] {s : finset α} {t : finset β} {f : α → β}
(h : ∀ x ∈ s, f x ∈ t) :
t.bUnion (λa, s.filter $ (λc, f c = a)) = s :=
ext $ λ b, by simpa using h b
lemma image_bUnion_filter_eq [decidable_eq α] (s : finset β) (g : β → α) :
(s.image g).bUnion (λa, s.filter $ (λc, g c = a)) = s :=
bUnion_filter_eq_of_maps_to (λ x, mem_image_of_mem g)
lemma erase_bUnion (f : α → finset β) (s : finset α) (b : β) :
(s.bUnion f).erase b = s.bUnion (λ x, (f x).erase b) :=
by { ext, simp only [finset.mem_bUnion, iff_self, exists_and_distrib_left, finset.mem_erase] }
end bUnion
/-! ### prod -/
section prod
variables {s : finset α} {t : finset β}
/-- `product s t` is the set of pairs `(a, b)` such that `a ∈ s` and `b ∈ t`. -/
protected def product (s : finset α) (t : finset β) : finset (α × β) := ⟨_, nodup_product s.2 t.2⟩
@[simp] theorem product_val : (s.product t).1 = s.1.product t.1 := rfl
@[simp] theorem mem_product {p : α × β} : p ∈ s.product t ↔ p.1 ∈ s ∧ p.2 ∈ t := mem_product
theorem subset_product [decidable_eq α] [decidable_eq β] {s : finset (α × β)} :
s ⊆ (s.image prod.fst).product (s.image prod.snd) :=
λ p hp, mem_product.2 ⟨mem_image_of_mem _ hp, mem_image_of_mem _ hp⟩
theorem product_eq_bUnion [decidable_eq α] [decidable_eq β] (s : finset α) (t : finset β) :
s.product t = s.bUnion (λa, t.image $ λb, (a, b)) :=
ext $ λ ⟨x, y⟩, by simp only [mem_product, mem_bUnion, mem_image, exists_prop, prod.mk.inj_iff,
and.left_comm, exists_and_distrib_left, exists_eq_right, exists_eq_left]
@[simp] theorem card_product (s : finset α) (t : finset β) : card (s.product t) = card s * card t :=
multiset.card_product _ _
theorem filter_product (p : α → Prop) (q : β → Prop) [decidable_pred p] [decidable_pred q] :
(s.product t).filter (λ (x : α × β), p x.1 ∧ q x.2) = (s.filter p).product (t.filter q) :=
by { ext ⟨a, b⟩, simp only [mem_filter, mem_product], finish, }
lemma filter_product_card (s : finset α) (t : finset β)
(p : α → Prop) (q : β → Prop) [decidable_pred p] [decidable_pred q] :
((s.product t).filter (λ (x : α × β), p x.1 ↔ q x.2)).card =
(s.filter p).card * (t.filter q).card + (s.filter (not ∘ p)).card * (t.filter (not ∘ q)).card :=
begin
classical,
rw [← card_product, ← card_product, ← filter_product, ← filter_product, ← card_union_eq],
{ apply congr_arg, ext ⟨a, b⟩, simp only [filter_union_right, mem_filter, mem_product],
split; intros; finish, },
{ rw disjoint_iff, change _ ∩ _ = ∅, ext ⟨a, b⟩, rw mem_inter, finish, },
end
end prod
/-! ### sigma -/
section sigma
variables {σ : α → Type*} {s : finset α} {t : Πa, finset (σ a)}
/-- `sigma s t` is the set of dependent pairs `⟨a, b⟩` such that `a ∈ s` and `b ∈ t a`. -/
protected def sigma (s : finset α) (t : Πa, finset (σ a)) : finset (Σa, σ a) :=
⟨_, nodup_sigma s.2 (λ a, (t a).2)⟩
@[simp] theorem mem_sigma {p : sigma σ} : p ∈ s.sigma t ↔ p.1 ∈ s ∧ p.2 ∈ t (p.1) := mem_sigma
theorem sigma_mono {s₁ s₂ : finset α} {t₁ t₂ : Πa, finset (σ a)}
(H1 : s₁ ⊆ s₂) (H2 : ∀a, t₁ a ⊆ t₂ a) : s₁.sigma t₁ ⊆ s₂.sigma t₂ :=
λ ⟨x, sx⟩ H, let ⟨H3, H4⟩ := mem_sigma.1 H in mem_sigma.2 ⟨H1 H3, H2 x H4⟩
theorem sigma_eq_bUnion [decidable_eq (Σ a, σ a)] (s : finset α)
(t : Πa, finset (σ a)) :
s.sigma t = s.bUnion (λa, (t a).map $ embedding.sigma_mk a) :=
by { ext ⟨x, y⟩, simp [and.left_comm] }
end sigma
/-! ### disjoint -/
section disjoint
variable [decidable_eq α]
theorem disjoint_left {s t : finset α} : disjoint s t ↔ ∀ {a}, a ∈ s → a ∉ t :=
by simp only [_root_.disjoint, inf_eq_inter, le_iff_subset, subset_iff, mem_inter, not_and,
and_imp]; refl
theorem disjoint_val {s t : finset α} : disjoint s t ↔ s.1.disjoint t.1 :=
disjoint_left
theorem disjoint_iff_inter_eq_empty {s t : finset α} : disjoint s t ↔ s ∩ t = ∅ :=
disjoint_iff
instance decidable_disjoint (U V : finset α) : decidable (disjoint U V) :=
decidable_of_decidable_of_iff (by apply_instance) eq_bot_iff
theorem disjoint_right {s t : finset α} : disjoint s t ↔ ∀ {a}, a ∈ t → a ∉ s :=
by rw [disjoint.comm, disjoint_left]
theorem disjoint_iff_ne {s t : finset α} : disjoint s t ↔ ∀ a ∈ s, ∀ b ∈ t, a ≠ b :=
by simp only [disjoint_left, imp_not_comm, forall_eq']
theorem disjoint_of_subset_left {s t u : finset α} (h : s ⊆ u) (d : disjoint u t) : disjoint s t :=
disjoint_left.2 (λ x m₁, (disjoint_left.1 d) (h m₁))
theorem disjoint_of_subset_right {s t u : finset α} (h : t ⊆ u) (d : disjoint s u) : disjoint s t :=
disjoint_right.2 (λ x m₁, (disjoint_right.1 d) (h m₁))
@[simp] theorem disjoint_empty_left (s : finset α) : disjoint ∅ s := disjoint_bot_left
@[simp] theorem disjoint_empty_right (s : finset α) : disjoint s ∅ := disjoint_bot_right
@[simp] theorem singleton_disjoint {s : finset α} {a : α} : disjoint (singleton a) s ↔ a ∉ s :=
by simp only [disjoint_left, mem_singleton, forall_eq]
@[simp] theorem disjoint_singleton {s : finset α} {a : α} : disjoint s (singleton a) ↔ a ∉ s :=
disjoint.comm.trans singleton_disjoint
@[simp] theorem disjoint_insert_left {a : α} {s t : finset α} :
disjoint (insert a s) t ↔ a ∉ t ∧ disjoint s t :=
by simp only [disjoint_left, mem_insert, or_imp_distrib, forall_and_distrib, forall_eq]
@[simp] theorem disjoint_insert_right {a : α} {s t : finset α} :
disjoint s (insert a t) ↔ a ∉ s ∧ disjoint s t :=
disjoint.comm.trans $ by rw [disjoint_insert_left, disjoint.comm]
@[simp] theorem disjoint_union_left {s t u : finset α} :
disjoint (s ∪ t) u ↔ disjoint s u ∧ disjoint t u :=
by simp only [disjoint_left, mem_union, or_imp_distrib, forall_and_distrib]
@[simp] theorem disjoint_union_right {s t u : finset α} :
disjoint s (t ∪ u) ↔ disjoint s t ∧ disjoint s u :=
by simp only [disjoint_right, mem_union, or_imp_distrib, forall_and_distrib]
lemma sdiff_disjoint {s t : finset α} : disjoint (t \ s) s :=
disjoint_left.2 $ assume a ha, (mem_sdiff.1 ha).2
lemma disjoint_sdiff {s t : finset α} : disjoint s (t \ s) :=
sdiff_disjoint.symm
lemma disjoint_sdiff_inter (s t : finset α) : disjoint (s \ t) (s ∩ t) :=
disjoint_of_subset_right (inter_subset_right _ _) sdiff_disjoint
lemma sdiff_eq_self_iff_disjoint {s t : finset α} : s \ t = s ↔ disjoint s t :=
by rw [sdiff_eq_self, subset_empty, disjoint_iff_inter_eq_empty]
lemma sdiff_eq_self_of_disjoint {s t : finset α} (h : disjoint s t) : s \ t = s :=
sdiff_eq_self_iff_disjoint.2 h
lemma disjoint_self_iff_empty (s : finset α) : disjoint s s ↔ s = ∅ :=
disjoint_self
lemma disjoint_bUnion_left {ι : Type*}
(s : finset ι) (f : ι → finset α) (t : finset α) :
disjoint (s.bUnion f) t ↔ (∀i∈s, disjoint (f i) t) :=
begin
classical,
refine s.induction _ _,
{ simp only [forall_mem_empty_iff, bUnion_empty, disjoint_empty_left] },
{ assume i s his ih,
simp only [disjoint_union_left, bUnion_insert, his, forall_mem_insert, ih] }
end
lemma disjoint_bUnion_right {ι : Type*}
(s : finset α) (t : finset ι) (f : ι → finset α) :
disjoint s (t.bUnion f) ↔ (∀i∈t, disjoint s (f i)) :=
by simpa only [disjoint.comm] using disjoint_bUnion_left t f s
@[simp] theorem card_disjoint_union {s t : finset α} (h : disjoint s t) :
card (s ∪ t) = card s + card t :=
by rw [← card_union_add_card_inter, disjoint_iff_inter_eq_empty.1 h, card_empty, add_zero]
theorem card_sdiff {s t : finset α} (h : s ⊆ t) : card (t \ s) = card t - card s :=
suffices card (t \ s) = card ((t \ s) ∪ s) - card s, by rwa sdiff_union_of_subset h at this,
by rw [card_disjoint_union sdiff_disjoint, nat.add_sub_cancel]
lemma disjoint_filter {s : finset α} {p q : α → Prop} [decidable_pred p] [decidable_pred q] :
disjoint (s.filter p) (s.filter q) ↔ (∀ x ∈ s, p x → ¬ q x) :=
by split; simp [disjoint_left] {contextual := tt}
lemma disjoint_filter_filter {s t : finset α} {p q : α → Prop} [decidable_pred p]
[decidable_pred q] :
(disjoint s t) → disjoint (s.filter p) (t.filter q) :=
disjoint.mono (filter_subset _ _) (filter_subset _ _)
lemma disjoint_iff_disjoint_coe {α : Type*} {a b : finset α} [decidable_eq α] :
disjoint a b ↔ disjoint (↑a : set α) (↑b : set α) :=
by { rw [finset.disjoint_left, set.disjoint_left], refl }
lemma filter_card_add_filter_neg_card_eq_card {α : Type*} {s : finset α} (p : α → Prop)
[decidable_pred p] :
(s.filter p).card + (s.filter (not ∘ p)).card = s.card :=
by { classical, simp [← card_union_eq, filter_union_filter_neg_eq, disjoint_filter], }
end disjoint
section self_prod
variables (s : finset α) [decidable_eq α]
/-- Given a finite set `s`, the diagonal, `s.diag` is the set of pairs of the form `(a, a)` for
`a ∈ s`. -/
def diag := (s.product s).filter (λ (a : α × α), a.fst = a.snd)
/-- Given a finite set `s`, the off-diagonal, `s.off_diag` is the set of pairs `(a, b)` with `a ≠ b`
for `a, b ∈ s`. -/
def off_diag := (s.product s).filter (λ (a : α × α), a.fst ≠ a.snd)
@[simp] lemma mem_diag (x : α × α) : x ∈ s.diag ↔ x.1 ∈ s ∧ x.1 = x.2 :=
by { simp only [diag, mem_filter, mem_product], split; intros; finish, }
@[simp] lemma mem_off_diag (x : α × α) : x ∈ s.off_diag ↔ x.1 ∈ s ∧ x.2 ∈ s ∧ x.1 ≠ x.2 :=
by { simp only [off_diag, mem_filter, mem_product], split; intros; finish, }
@[simp] lemma diag_card : (diag s).card = s.card :=
begin
suffices : diag s = s.image (λ a, (a, a)), { rw this, apply card_image_of_inj_on, finish, },
ext ⟨a₁, a₂⟩, rw mem_diag, split; intros; finish,
end
@[simp] lemma off_diag_card : (off_diag s).card = s.card * s.card - s.card :=
begin
suffices : (diag s).card + (off_diag s).card = s.card * s.card,
{ nth_rewrite 2 ← s.diag_card, finish, },
rw ← card_product,
apply filter_card_add_filter_neg_card_eq_card,
end
end self_prod
/--
Given a set A and a set B inside it, we can shrink A to any appropriate size, and keep B
inside it.
-/
lemma exists_intermediate_set {A B : finset α} (i : ℕ)
(h₁ : i + card B ≤ card A) (h₂ : B ⊆ A) :
∃ (C : finset α), B ⊆ C ∧ C ⊆ A ∧ card C = i + card B :=
begin
classical,
rcases nat.le.dest h₁ with ⟨k, _⟩,
clear h₁,
induction k with k ih generalizing A,
{ exact ⟨A, h₂, subset.refl _, h.symm⟩ },
{ have : (A \ B).nonempty,
{ rw [← card_pos, card_sdiff h₂, ← h, nat.add_right_comm,
nat.add_sub_cancel, nat.add_succ],
apply nat.succ_pos },
rcases this with ⟨a, ha⟩,
have z : i + card B + k = card (erase A a),
{ rw [card_erase_of_mem, ← h, nat.add_succ, nat.pred_succ],
rw mem_sdiff at ha,
exact ha.1 },
rcases ih _ z with ⟨B', hB', B'subA', cards⟩,
{ exact ⟨B', hB', trans B'subA' (erase_subset _ _), cards⟩ },
{ rintros t th,
apply mem_erase_of_ne_of_mem _ (h₂ th),
rintro rfl,
exact not_mem_sdiff_of_mem_right th ha } }
end
/-- We can shrink A to any smaller size. -/
lemma exists_smaller_set (A : finset α) (i : ℕ) (h₁ : i ≤ card A) :
∃ (B : finset α), B ⊆ A ∧ card B = i :=
let ⟨B, _, x₁, x₂⟩ := exists_intermediate_set i (by simpa) (empty_subset A) in ⟨B, x₁, x₂⟩
/-- `finset.fin_range k` is the finset `{0, 1, ..., k-1}`, as a `finset (fin k)`. -/
def fin_range (k : ℕ) : finset (fin k) :=
⟨list.fin_range k, list.nodup_fin_range k⟩
@[simp]
lemma fin_range_card {k : ℕ} : (fin_range k).card = k :=
by simp [fin_range]
@[simp]
lemma mem_fin_range {k : ℕ} (m : fin k) : m ∈ fin_range k :=
list.mem_fin_range m
@[simp] lemma coe_fin_range (k : ℕ) : (fin_range k : set (fin k)) = set.univ :=
set.eq_univ_of_forall mem_fin_range
/-- Given a finset `s` of `ℕ` contained in `{0,..., n-1}`, the corresponding finset in `fin n`
is `s.attach_fin h` where `h` is a proof that all elements of `s` are less than `n`. -/
def attach_fin (s : finset ℕ) {n : ℕ} (h : ∀ m ∈ s, m < n) : finset (fin n) :=
⟨s.1.pmap (λ a ha, ⟨a, ha⟩) h, multiset.nodup_pmap (λ _ _ _ _, fin.veq_of_eq) s.2⟩
@[simp] lemma mem_attach_fin {n : ℕ} {s : finset ℕ} (h : ∀ m ∈ s, m < n) {a : fin n} :
a ∈ s.attach_fin h ↔ (a : ℕ) ∈ s :=
⟨λ h, let ⟨b, hb₁, hb₂⟩ := multiset.mem_pmap.1 h in hb₂ ▸ hb₁,
λ h, multiset.mem_pmap.2 ⟨a, h, fin.eta _ _⟩⟩
@[simp] lemma card_attach_fin {n : ℕ} (s : finset ℕ) (h : ∀ m ∈ s, m < n) :
(s.attach_fin h).card = s.card := multiset.card_pmap _ _ _
/-! ### choose -/
section choose
variables (p : α → Prop) [decidable_pred p] (l : finset α)
/-- Given a finset `l` and a predicate `p`, associate to a proof that there is a unique element of
`l` satisfying `p` this unique element, as an element of the corresponding subtype. -/
def choose_x (hp : (∃! a, a ∈ l ∧ p a)) : { a // a ∈ l ∧ p a } :=
multiset.choose_x p l.val hp
/-- Given a finset `l` and a predicate `p`, associate to a proof that there is a unique element of
`l` satisfying `p` this unique element, as an element of the ambient type. -/
def choose (hp : ∃! a, a ∈ l ∧ p a) : α := choose_x p l hp
lemma choose_spec (hp : ∃! a, a ∈ l ∧ p a) : choose p l hp ∈ l ∧ p (choose p l hp) :=
(choose_x p l hp).property
lemma choose_mem (hp : ∃! a, a ∈ l ∧ p a) : choose p l hp ∈ l := (choose_spec _ _ _).1
lemma choose_property (hp : ∃! a, a ∈ l ∧ p a) : p (choose p l hp) := (choose_spec _ _ _).2
end choose
theorem lt_wf {α} : well_founded (@has_lt.lt (finset α) _) :=
have H : subrelation (@has_lt.lt (finset α) _)
(inv_image (<) card),
from λ x y hxy, card_lt_card hxy,
subrelation.wf H $ inv_image.wf _ $ nat.lt_wf
end finset
namespace equiv
/-- Given an equivalence `α` to `β`, produce an equivalence between `finset α` and `finset β`. -/
protected def finset_congr (e : α ≃ β) : finset α ≃ finset β :=
{ to_fun := λ s, s.map e.to_embedding,
inv_fun := λ s, s.map e.symm.to_embedding,
left_inv := λ s, by simp [finset.map_map],
right_inv := λ s, by simp [finset.map_map] }
@[simp] lemma finset_congr_apply (e : α ≃ β) (s : finset α) :
e.finset_congr s = s.map e.to_embedding :=
rfl
@[simp] lemma finset_congr_refl :
(equiv.refl α).finset_congr = equiv.refl _ :=
by { ext, simp }
@[simp] lemma finset_congr_symm (e : α ≃ β) :
e.finset_congr.symm = e.symm.finset_congr :=
rfl
@[simp] lemma finset_congr_trans (e : α ≃ β) (e' : β ≃ γ) :
e.finset_congr.trans (e'.finset_congr) = (e.trans e').finset_congr :=
by { ext, simp [-finset.mem_map, -equiv.trans_to_embedding] }
end equiv
namespace list
variable [decidable_eq α]
theorem to_finset_card_of_nodup {l : list α} (h : l.nodup) : l.to_finset.card = l.length :=
congr_arg card $ (@multiset.erase_dup_eq_self α _ l).2 h
end list
namespace multiset
variable [decidable_eq α]
theorem to_finset_card_of_nodup {l : multiset α} (h : l.nodup) : l.to_finset.card = l.card :=
congr_arg card $ (@multiset.erase_dup_eq_self α _ l).2 h
lemma disjoint_to_finset (m1 m2 : multiset α) :
_root_.disjoint m1.to_finset m2.to_finset ↔ m1.disjoint m2 :=
begin
rw finset.disjoint_iff_ne,
split,
{ intro h,
intros a ha1 ha2,
rw ← multiset.mem_to_finset at ha1 ha2,
exact h _ ha1 _ ha2 rfl },
{ rintros h a ha b hb rfl,
rw multiset.mem_to_finset at ha hb,
exact h ha hb }
end
end multiset
|
9c777fa2fa0543bd52e34e4e9491c805e12489ad | 31f556cdeb9239ffc2fad8f905e33987ff4feab9 | /stage0/src/Lean/Data/Lsp/CodeActions.lean | d3020d310524f6ee5defa52958a8c571798c8125 | [
"Apache-2.0",
"LLVM-exception",
"NCSA",
"LGPL-3.0-only",
"LicenseRef-scancode-inner-net-2.0",
"BSD-3-Clause",
"LGPL-2.0-or-later",
"Spencer-94",
"LGPL-2.1-or-later",
"HPND",
"LicenseRef-scancode-pcre",
"ISC",
"LGPL-2.1-only",
"LicenseRef-scancode-other-permissive",
"SunPro",
"CMU-Mach"... | permissive | tobiasgrosser/lean4 | ce0fd9cca0feba1100656679bf41f0bffdbabb71 | ebdbdc10436a4d9d6b66acf78aae7a23f5bd073f | refs/heads/master | 1,673,103,412,948 | 1,664,930,501,000 | 1,664,930,501,000 | 186,870,185 | 0 | 0 | Apache-2.0 | 1,665,129,237,000 | 1,557,939,901,000 | Lean | UTF-8 | Lean | false | false | 7,747 | lean | /-
Copyright (c) 2022 E.W.Ayers. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: E.W.Ayers
-/
import Lean.Data.Json
import Lean.Data.Lsp.Basic
import Lean.Data.Lsp.Diagnostics
namespace Lean.Lsp
open Json
/-- The kind of a code action.
Kinds are a hierarchical list of identifiers separated by `.`,
e.g. `"refactor.extract.function"`.
The set of kinds is open and client needs to announce the kinds it supports
to the server during initialization.
You can make your own code action kinds, the ones supported by LSP are:
- `quickfix`
- `refactor`
- `refactor.extract`
- `refactor.inline`
- `refactor.rewrite`
- `source` Source code actions apply to the entire file. Eg fixing all issues or organising imports.
- `source.organizeImports`
- `source.fixAll`
-/
abbrev CodeActionKind := String
inductive CodeActionTriggerKind
/-- Code actions were explicitly requested by the user or by an extension. -/
| invoked
/-- Code actions were requested automatically.
This typically happens when current selection in a file changes, but can
also be triggered when file content changes. -/
| automatic
instance : ToJson CodeActionTriggerKind := ⟨fun
| .invoked => 1
| .automatic => 2
⟩
instance : FromJson CodeActionTriggerKind := ⟨fun j => do
let n ← j.getNat?
match n with
| 1 => return CodeActionTriggerKind.invoked
| 2 => return CodeActionTriggerKind.automatic
| n => throw s!"Unexpected CodeActionTriggerKind {n}"
⟩
/-- Contains additional diagnostic information about the context in which a code action is run.
[reference](https://microsoft.github.io/language-server-protocol/specifications/lsp/3.17/specification/#codeActionContext) -/
structure CodeActionContext where
/--
An array of diagnostics known on the client side overlapping the range
provided to the `textDocument/codeAction` request. They are provided so
that the server knows which errors are currently presented to the user
for the given range. There is no guarantee that these accurately reflect
the error state of the resource. The primary parameter
to compute code actions is the provided range.
-/
diagnostics : Array Diagnostic
/-- Requested kind of actions to return.
Actions not of this kind are filtered out by the client before being
shown. So servers can omit computing them.
-/
only? : Option (Array CodeActionKind) := none
/-- The reason why code actions were requested. -/
triggerKind? : Option CodeActionTriggerKind := none
deriving FromJson, ToJson
/-- Parameters for a [CodeActionRequest](https://microsoft.github.io/language-server-protocol/specifications/lsp/3.17/specification/#textDocument_codeAction). -/
structure CodeActionParams extends WorkDoneProgressParams, PartialResultParams where
textDocument : TextDocumentIdentifier
range : Range
context : CodeActionContext
deriving FromJson, ToJson
/-- If the code action is disabled, this type gives the reson why. -/
structure CodeActionDisabled where
reason : String
deriving FromJson, ToJson
/-- Capabilities of the server for handling code actions. -/
structure CodeActionOptions extends WorkDoneProgressOptions where
/-- CodeActionKinds that this server may return.
The list of kinds may be generic, such as `"refactor"`, or the server may list out every specific kind they provide. -/
codeActionKinds? : Option (Array CodeActionKind) := none
/-- The server provides support to resolve additional information for a code action. -/
resolveProvider? : Option Bool := none
deriving ToJson, FromJson
/-- Custom, Lean-specific data object passed as the `data?` field. -/
structure CodeActionData where
uri : DocumentUri
deriving FromJson, ToJson
/-- A code action represents a change that can be performed in code, e.g. to fix a problem or to refactor code.
A CodeAction should set either `edit` and/or a `command`.
If both are supplied, the `edit` is applied first, then the `command` is executed.
If none are supplied, the client makes a `codeAction/resolve` JSON-RPC request to compute the edit.
[reference](https://microsoft.github.io/language-server-protocol/specifications/lsp/3.17/specification/#codeAction) -/
structure CodeAction extends WorkDoneProgressParams, PartialResultParams where
/-- A short, human-readable, title for this code action. -/
title : String
/-- The kind of the code action. -/
kind? : Option CodeActionKind := none
/-- The diagnostics that this code action resolves. -/
diagnostics? : Option (Array Diagnostic) := none
/-- Marks this as a preferred action. Preferred actions are used by the `auto fix` command and can be targeted by keybindings. -/
isPreferred? : Option Bool := none
/-- Marks that the code action cannot currently be applied. -/
disabled? : Option CodeActionDisabled := none
/-- The workspace edit this code action performs. -/
edit? : Option WorkspaceEdit := none
/-- A command this code action executes.
If a code action provides an edit and a command, first the edit is executed and then the command. -/
command? : Option Command := none
/-- A data entry field that is preserved on a code action between a `textDocument/codeAction` and a `codeAction/resolve` request.
In particular, for Lean-created commands we expect `data` to have a `uri : DocumentUri` field so that `FileSource` can be implemented.
-/
data? : Option CodeActionData := none
deriving ToJson, FromJson
structure ResolveSupport where
properties : Array String
deriving FromJson, ToJson
structure CodeActionLiteralSupportValueSet where
/-- The code action kind values the client supports. When this
property exists the client also guarantees that it will
handle values outside its set gracefully and falls back
to a default value when unknown.
-/
valueSet : Array CodeActionKind
deriving FromJson, ToJson
structure CodeActionLiteralSupport where
/-- The code action kind is supported with the following value set. -/
codeActionKind : CodeActionLiteralSupportValueSet
deriving FromJson, ToJson
/-- [Reference](https://microsoft.github.io/language-server-protocol/specifications/lsp/3.17/specification/#codeActionClientCapabilities) -/
structure CodeActionClientCapabilities where
/-- Whether we can [register capabilities dynamically](https://microsoft.github.io/language-server-protocol/specifications/lsp/3.17/specification/#client_registerCapability). -/
dynamicRegistration? : Option Bool := false
/-- Whether the code action supports the `isPreferred` property. -/
isPreferredSupport? : Option Bool := false
/-- Whether the code action supports the `disabled` property. -/
disabledSupport? : Option Bool := false
/-- Weather code action supports the `data` property which is preserved between a `textDocument/codeAction` and a `codeAction/resolve` request. -/
dataSupport? : Option Bool := false
/-- Whether the client honors the change annotations in
text edits and resource operations returned via the
`CodeAction#edit` property by for example presenting
the workspace edit in the user interface and asking
for confirmation. -/
honorsChangeAnnotations? : Option Bool := false
/-- The client supports code action literals as a valid response of the `textDocument/codeAction` request. -/
codeActionLiteralSupport? : Option CodeActionLiteralSupport := none
/-- Whether the client supports resolving additional code action properties via a separate `codeAction/resolve` request. -/
resolveSupport? : Option ResolveSupport := none
deriving FromJson, ToJson
end Lean.Lsp
|
17a135974a3ea801dde358237ab96837a0acc387 | 037dba89703a79cd4a4aec5e959818147f97635d | /src/2019/solutions/sheet4.lean | 7a65835b6e928dc7deac150e18977953f40d1d56 | [] | no_license | ImperialCollegeLondon/M40001_lean | 3a6a09298da395ab51bc220a535035d45bbe919b | 62a76fa92654c855af2b2fc2bef8e60acd16ccec | refs/heads/master | 1,666,750,403,259 | 1,665,771,117,000 | 1,665,771,117,000 | 209,141,835 | 115 | 12 | null | 1,640,270,596,000 | 1,568,749,174,000 | Lean | UTF-8 | Lean | false | false | 1,316 | lean | import data.real.basic
open function
definition pals {X Y Z : Type} (f : X → Y) (g : X → Z) := ∃ h : Y → Z, bijective h ∧ g = h ∘ f
lemma Q5 (X Y Z: Type) (f : X → Y) (g : X → Z) (hf : surjective f) (hg : surjective g) : pals f g ↔ ∀ a b : X, (f a = f b) ↔ (g a = g b) :=
begin
split,
{ -- if pals then equiv relns equal
rintro ⟨h, hb, hghf⟩,
rw funext_iff at hghf,
intros a b,
split,
{ -- f(a)=f(b) implies g(a)=g(b)
intro hfab,
rw hghf,
rw hghf,
show h (f a) = h (f b),
rw hfab,
},
intro hgab,
cases hb with hi hs,
apply hi,
rw hghf at hgab,
rw hghf at hgab,
exact hgab,
},
{ intro hequiv,
unfold pals,
let hf' := hf,
choose temp htemp using hf', -- a temporary function Y → X sending y to some random x with f(x)=y
use g ∘ temp,
split,
{ split,
{ intros y₁ y₂ h12,
change g (temp y₁) = g (temp y₂) at h12,
rw ←hequiv at h12,
rw htemp at h12,
rw htemp at h12,
assumption,
},
intro z,
cases hg z with x hx,
use f x,
show g(temp(f(x))) = _,
rw ←hx,
rw ←hequiv,
rw htemp,
},
ext,
show _ = g(temp(f(x))),
rw ←hequiv,
rw htemp,
}
end
|
c02d21ed706c087366c63130bca7118e4e592034 | d406927ab5617694ec9ea7001f101b7c9e3d9702 | /src/analysis/normed_space/mazur_ulam.lean | 07c94350d1be1746ef6352650c8889cc803f93b5 | [
"Apache-2.0"
] | permissive | alreadydone/mathlib | dc0be621c6c8208c581f5170a8216c5ba6721927 | c982179ec21091d3e102d8a5d9f5fe06c8fafb73 | refs/heads/master | 1,685,523,275,196 | 1,670,184,141,000 | 1,670,184,141,000 | 287,574,545 | 0 | 0 | Apache-2.0 | 1,670,290,714,000 | 1,597,421,623,000 | Lean | UTF-8 | Lean | false | false | 6,832 | lean | /-
Copyright (c) 2020 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov
-/
import topology.instances.real_vector_space
import analysis.normed_space.affine_isometry
import linear_algebra.affine_space.midpoint
/-!
# Mazur-Ulam Theorem
Mazur-Ulam theorem states that an isometric bijection between two normed affine spaces over `ℝ` is
affine. We formalize it in three definitions:
* `isometric.to_real_linear_isometry_equiv_of_map_zero` : given `E ≃ᵢ F` sending `0` to `0`,
returns `E ≃ₗᵢ[ℝ] F` with the same `to_fun` and `inv_fun`;
* `isometric.to_real_linear_isometry_equiv` : given `f : E ≃ᵢ F`, returns a linear isometry
equivalence `g : E ≃ₗᵢ[ℝ] F` with `g x = f x - f 0`.
* `isometric.to_real_affine_isometry_equiv` : given `f : PE ≃ᵢ PF`, returns an affine isometry
equivalence `g : PE ≃ᵃⁱ[ℝ] PF` whose underlying `isometric` is `f`
The formalization is based on [Jussi Väisälä, *A Proof of the Mazur-Ulam Theorem*][Vaisala_2003].
## Tags
isometry, affine map, linear map
-/
variables {E PE F PF : Type*} [normed_add_comm_group E] [normed_space ℝ E] [metric_space PE]
[normed_add_torsor E PE] [normed_add_comm_group F] [normed_space ℝ F] [metric_space PF]
[normed_add_torsor F PF]
open set affine_map affine_isometry_equiv
noncomputable theory
namespace isometric
include E
/-- If an isometric self-homeomorphism of a normed vector space over `ℝ` fixes `x` and `y`,
then it fixes the midpoint of `[x, y]`. This is a lemma for a more general Mazur-Ulam theorem,
see below. -/
lemma midpoint_fixed {x y : PE} :
∀ e : PE ≃ᵢ PE, e x = x → e y = y → e (midpoint ℝ x y) = midpoint ℝ x y :=
begin
set z := midpoint ℝ x y,
-- Consider the set of `e : E ≃ᵢ E` such that `e x = x` and `e y = y`
set s := { e : PE ≃ᵢ PE | e x = x ∧ e y = y },
haveI : nonempty s := ⟨⟨isometric.refl PE, rfl, rfl⟩⟩,
-- On the one hand, `e` cannot send the midpoint `z` of `[x, y]` too far
have h_bdd : bdd_above (range $ λ e : s, dist (e z) z),
{ refine ⟨dist x z + dist x z, forall_range_iff.2 $ subtype.forall.2 _⟩,
rintro e ⟨hx, hy⟩,
calc dist (e z) z ≤ dist (e z) x + dist x z : dist_triangle (e z) x z
... = dist (e x) (e z) + dist x z : by rw [hx, dist_comm]
... = dist x z + dist x z : by erw [e.dist_eq x z] },
-- On the other hand, consider the map `f : (E ≃ᵢ E) → (E ≃ᵢ E)`
-- sending each `e` to `R ∘ e⁻¹ ∘ R ∘ e`, where `R` is the point reflection in the
-- midpoint `z` of `[x, y]`.
set R : PE ≃ᵢ PE := (point_reflection ℝ z).to_isometric,
set f : (PE ≃ᵢ PE) → (PE ≃ᵢ PE) := λ e, ((e.trans R).trans e.symm).trans R,
-- Note that `f` doubles the value of ``dist (e z) z`
have hf_dist : ∀ e, dist (f e z) z = 2 * dist (e z) z,
{ intro e,
dsimp [f],
rw [dist_point_reflection_fixed, ← e.dist_eq, e.apply_symm_apply,
dist_point_reflection_self_real, dist_comm] },
-- Also note that `f` maps `s` to itself
have hf_maps_to : maps_to f s s,
{ rintros e ⟨hx, hy⟩,
split; simp [hx, hy, e.symm_apply_eq.2 hx.symm, e.symm_apply_eq.2 hy.symm], },
-- Therefore, `dist (e z) z = 0` for all `e ∈ s`.
set c := ⨆ e : s, dist ((e : PE ≃ᵢ PE) z) z,
have : c ≤ c / 2,
{ apply csupr_le,
rintros ⟨e, he⟩,
simp only [subtype.coe_mk, le_div_iff' (zero_lt_two' ℝ), ← hf_dist],
exact le_csupr h_bdd ⟨f e, hf_maps_to he⟩ },
replace : c ≤ 0, { linarith },
refine λ e hx hy, dist_le_zero.1 (le_trans _ this),
exact le_csupr h_bdd ⟨e, hx, hy⟩
end
include F
/-- A bijective isometry sends midpoints to midpoints. -/
lemma map_midpoint (f : PE ≃ᵢ PF) (x y : PE) : f (midpoint ℝ x y) = midpoint ℝ (f x) (f y) :=
begin
set e : PE ≃ᵢ PE :=
((f.trans $ (point_reflection ℝ $ midpoint ℝ (f x) (f y)).to_isometric).trans f.symm).trans
(point_reflection ℝ $ midpoint ℝ x y).to_isometric,
have hx : e x = x, by simp,
have hy : e y = y, by simp,
have hm := e.midpoint_fixed hx hy,
simp only [e, trans_apply] at hm,
rwa [← eq_symm_apply, to_isometric_symm, point_reflection_symm, coe_to_isometric,
coe_to_isometric, point_reflection_self, symm_apply_eq, point_reflection_fixed_iff] at hm
end
/-!
Since `f : PE ≃ᵢ PF` sends midpoints to midpoints, it is an affine map.
We define a conversion to a `continuous_linear_equiv` first, then a conversion to an `affine_map`.
-/
/-- **Mazur-Ulam Theorem**: if `f` is an isometric bijection between two normed vector spaces
over `ℝ` and `f 0 = 0`, then `f` is a linear isometry equivalence. -/
def to_real_linear_isometry_equiv_of_map_zero (f : E ≃ᵢ F) (h0 : f 0 = 0) :
E ≃ₗᵢ[ℝ] F :=
{ norm_map' := λ x, show ‖f x‖ = ‖x‖, by simp only [← dist_zero_right, ← h0, f.dist_eq],
.. ((add_monoid_hom.of_map_midpoint ℝ ℝ f h0 f.map_midpoint).to_real_linear_map f.continuous),
.. f }
@[simp] lemma coe_to_real_linear_equiv_of_map_zero (f : E ≃ᵢ F) (h0 : f 0 = 0) :
⇑(f.to_real_linear_isometry_equiv_of_map_zero h0) = f := rfl
@[simp] lemma coe_to_real_linear_equiv_of_map_zero_symm (f : E ≃ᵢ F) (h0 : f 0 = 0) :
⇑(f.to_real_linear_isometry_equiv_of_map_zero h0).symm = f.symm := rfl
/-- **Mazur-Ulam Theorem**: if `f` is an isometric bijection between two normed vector spaces
over `ℝ`, then `x ↦ f x - f 0` is a linear isometry equivalence. -/
def to_real_linear_isometry_equiv (f : E ≃ᵢ F) : E ≃ₗᵢ[ℝ] F :=
(f.trans (isometric.add_right (f 0)).symm).to_real_linear_isometry_equiv_of_map_zero
(by simpa only [sub_eq_add_neg] using sub_self (f 0))
@[simp] lemma to_real_linear_equiv_apply (f : E ≃ᵢ F) (x : E) :
(f.to_real_linear_isometry_equiv : E → F) x = f x - f 0 :=
(sub_eq_add_neg (f x) (f 0)).symm
@[simp] lemma to_real_linear_isometry_equiv_symm_apply (f : E ≃ᵢ F) (y : F) :
(f.to_real_linear_isometry_equiv.symm : F → E) y = f.symm (y + f 0) := rfl
/-- **Mazur-Ulam Theorem**: if `f` is an isometric bijection between two normed add-torsors over
normed vector spaces over `ℝ`, then `f` is an affine isometry equivalence. -/
def to_real_affine_isometry_equiv (f : PE ≃ᵢ PF) : PE ≃ᵃⁱ[ℝ] PF :=
affine_isometry_equiv.mk' f
(((vadd_const (classical.arbitrary PE)).trans $ f.trans
(vadd_const (f $ classical.arbitrary PE)).symm).to_real_linear_isometry_equiv)
(classical.arbitrary PE) (λ p, by simp)
@[simp] lemma coe_fn_to_real_affine_isometry_equiv (f : PE ≃ᵢ PF) :
⇑f.to_real_affine_isometry_equiv = f :=
rfl
@[simp] lemma coe_to_real_affine_isometry_equiv (f : PE ≃ᵢ PF) :
f.to_real_affine_isometry_equiv.to_isometric = f :=
by { ext, refl }
end isometric
|
64504dc61618ed4f8b5ef6eaecc9376d84ee35cb | b00eb947a9c4141624aa8919e94ce6dcd249ed70 | /src/Lean/Elab/Util.lean | c46776668625ca49b460410cd10497b12b85f985 | [
"Apache-2.0"
] | permissive | gebner/lean4-old | a4129a041af2d4d12afb3a8d4deedabde727719b | ee51cdfaf63ee313c914d83264f91f414a0e3b6e | refs/heads/master | 1,683,628,606,745 | 1,622,651,300,000 | 1,622,654,405,000 | 142,608,821 | 1 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 8,022 | lean | /-
Copyright (c) 2019 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Leonardo de Moura
-/
import Lean.Util.Trace
import Lean.Parser.Syntax
import Lean.Parser.Extension
import Lean.KeyedDeclsAttribute
import Lean.Elab.Exception
namespace Lean
def Syntax.prettyPrint (stx : Syntax) : Format :=
match stx.unsetTrailing.reprint with -- TODO use syntax pretty printer
| some str => format str.toFormat
| none => format stx
def MacroScopesView.format (view : MacroScopesView) (mainModule : Name) : Format :=
fmt $
if view.scopes.isEmpty then
view.name
else if view.mainModule == mainModule then
view.scopes.foldl Name.mkNum (view.name ++ view.imported)
else
view.scopes.foldl Name.mkNum (view.name ++ view.imported ++ view.mainModule)
namespace Elab
def expandOptNamedPrio (stx : Syntax) : MacroM Nat :=
if stx.isNone then
return eval_prio default
else match stx[0] with
| `(Parser.Command.namedPrio| (priority := $prio)) => evalPrio prio
| _ => Macro.throwUnsupported
def expandOptNamedName (stx : Syntax) : MacroM (Option Name) := do
if stx.isNone then
return none
else match stx[0] with
| `(Parser.Command.namedName| (name := $name)) => return name.getId
| _ => Macro.throwUnsupported
structure MacroStackElem where
before : Syntax
after : Syntax
abbrev MacroStack := List MacroStackElem
/- If `ref` does not have position information, then try to use macroStack -/
def getBetterRef (ref : Syntax) (macroStack : MacroStack) : Syntax :=
match ref.getPos? with
| some _ => ref
| none =>
match macroStack.find? (·.before.getPos? != none) with
| some elem => elem.before
| none => ref
register_builtin_option pp.macroStack : Bool := {
defValue := false
group := "pp"
descr := "dispaly macro expansion stack"
}
def addMacroStack {m} [Monad m] [MonadOptions m] (msgData : MessageData) (macroStack : MacroStack) : m MessageData := do
if !pp.macroStack.get (← getOptions) then pure msgData else
match macroStack with
| [] => pure msgData
| stack@(top::_) =>
let msgData := msgData ++ Format.line ++ "with resulting expansion" ++ indentD top.after
pure $ stack.foldl
(fun (msgData : MessageData) (elem : MacroStackElem) =>
msgData ++ Format.line ++ "while expanding" ++ indentD elem.before)
msgData
def checkSyntaxNodeKind (k : Name) : AttrM Name := do
if Parser.isValidSyntaxNodeKind (← getEnv) k then pure k
else throwError "failed"
def checkSyntaxNodeKindAtNamespacesAux (k : Name) : Name → AttrM Name
| n@(Name.str p _ _) => checkSyntaxNodeKind (n ++ k) <|> checkSyntaxNodeKindAtNamespacesAux k p
| _ => throwError "failed"
def checkSyntaxNodeKindAtNamespaces (k : Name) : AttrM Name := do
let ctx ← read
checkSyntaxNodeKindAtNamespacesAux k ctx.currNamespace
def syntaxNodeKindOfAttrParam (defaultParserNamespace : Name) (stx : Syntax) : AttrM SyntaxNodeKind := do
let k ← Attribute.Builtin.getId stx
checkSyntaxNodeKind k
<|>
checkSyntaxNodeKindAtNamespaces k
<|>
checkSyntaxNodeKind (defaultParserNamespace ++ k)
<|>
throwError "invalid syntax node kind '{k}'"
private unsafe def evalSyntaxConstantUnsafe (env : Environment) (opts : Options) (constName : Name) : ExceptT String Id Syntax :=
env.evalConstCheck Syntax opts `Lean.Syntax constName
@[implementedBy evalSyntaxConstantUnsafe]
constant evalSyntaxConstant (env : Environment) (opts : Options) (constName : Name) : ExceptT String Id Syntax := throw ""
unsafe def mkElabAttribute (γ) (attrDeclName attrBuiltinName attrName : Name) (parserNamespace : Name) (typeName : Name) (kind : String)
: IO (KeyedDeclsAttribute γ) :=
KeyedDeclsAttribute.init {
builtinName := attrBuiltinName
name := attrName
descr := kind ++ " elaborator"
valueTypeName := typeName
evalKey := fun _ stx => syntaxNodeKindOfAttrParam parserNamespace stx
} attrDeclName
unsafe def mkMacroAttributeUnsafe : IO (KeyedDeclsAttribute Macro) :=
mkElabAttribute Macro `Lean.Elab.macroAttribute `builtinMacro `macro Name.anonymous `Lean.Macro "macro"
@[implementedBy mkMacroAttributeUnsafe]
constant mkMacroAttribute : IO (KeyedDeclsAttribute Macro)
builtin_initialize macroAttribute : KeyedDeclsAttribute Macro ← mkMacroAttribute
private def expandMacroFns (stx : Syntax) : List Macro → MacroM Syntax
| [] => throw Macro.Exception.unsupportedSyntax
| m::ms => do
try
m stx
catch
| Macro.Exception.unsupportedSyntax => expandMacroFns stx ms
| ex => throw ex
def getMacros (env : Environment) : Macro := fun stx =>
let k := stx.getKind
let table := (macroAttribute.ext.getState env).table
match table.find? k with
| some macroFns => expandMacroFns stx macroFns
| none => throw Macro.Exception.unsupportedSyntax
class MonadMacroAdapter (m : Type → Type) where
getCurrMacroScope : m MacroScope
getNextMacroScope : m MacroScope
setNextMacroScope : MacroScope → m Unit
instance (m n) [MonadLift m n] [MonadMacroAdapter m] : MonadMacroAdapter n := {
getCurrMacroScope := liftM (MonadMacroAdapter.getCurrMacroScope : m _),
getNextMacroScope := liftM (MonadMacroAdapter.getNextMacroScope : m _),
setNextMacroScope := fun s => liftM (MonadMacroAdapter.setNextMacroScope s : m _)
}
private def expandMacro? (env : Environment) (stx : Syntax) : MacroM (Option Syntax) := do
try
let newStx ← getMacros env stx
pure (some newStx)
catch
| Macro.Exception.unsupportedSyntax => pure none
| ex => throw ex
@[inline] def liftMacroM {α} {m : Type → Type} [Monad m] [MonadMacroAdapter m] [MonadEnv m] [MonadRecDepth m] [MonadError m] [MonadResolveName m] [MonadTrace m] [MonadOptions m] [AddMessageContext m] (x : MacroM α) : m α := do
let env ← getEnv
let currNamespace ← getCurrNamespace
let openDecls ← getOpenDecls
let methods := Macro.mkMethods {
expandMacro? := expandMacro? env
hasDecl := fun declName => return env.contains declName
getCurrNamespace := return currNamespace
resolveNamespace? := fun n => return ResolveName.resolveNamespace? env currNamespace openDecls n
resolveGlobalName := fun n => return ResolveName.resolveGlobalName env currNamespace openDecls n
}
match x { methods := methods
ref := ← getRef
currMacroScope := ← MonadMacroAdapter.getCurrMacroScope
mainModule := env.mainModule
currRecDepth := ← MonadRecDepth.getRecDepth
maxRecDepth := ← MonadRecDepth.getMaxRecDepth
} { macroScope := (← MonadMacroAdapter.getNextMacroScope) } with
| EStateM.Result.error Macro.Exception.unsupportedSyntax _ => throwUnsupportedSyntax
| EStateM.Result.error (Macro.Exception.error ref msg) _ => throwErrorAt ref msg
| EStateM.Result.ok a s =>
MonadMacroAdapter.setNextMacroScope s.macroScope
s.traceMsgs.reverse.forM fun (clsName, msg) => trace clsName fun _ => msg
pure a
@[inline] def adaptMacro {m : Type → Type} [Monad m] [MonadMacroAdapter m] [MonadEnv m] [MonadRecDepth m] [MonadError m] [MonadResolveName m] [MonadTrace m] [MonadOptions m] [AddMessageContext m] (x : Macro) (stx : Syntax) : m Syntax :=
liftMacroM (x stx)
partial def mkUnusedBaseName (baseName : Name) : MacroM Name := do
let currNamespace ← Macro.getCurrNamespace
if ← Macro.hasDecl (currNamespace ++ baseName) then
let rec loop (idx : Nat) := do
let name := baseName.appendIndexAfter idx
if ← Macro.hasDecl (currNamespace ++ name) then
loop (idx+1)
else
name
loop 1
else
return baseName
builtin_initialize
registerTraceClass `Elab
registerTraceClass `Elab.step
end Lean.Elab
|
27ba7eecf3b978467b257258dae1f7551070aecd | 86f6f4f8d827a196a32bfc646234b73328aeb306 | /examples/sets_functions_and_relations/unnamed_387.lean | e962202fe8537a4a56fb6e436a6c01348835d0b5 | [] | no_license | jamescheuk91/mathematics_in_lean | 09f1f87d2b0dce53464ff0cbe592c568ff59cf5e | 4452499264e2975bca2f42565c0925506ba5dda3 | refs/heads/master | 1,679,716,410,967 | 1,613,957,947,000 | 1,613,957,947,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 277 | lean | import tactic
open set
variable {α : Type*}
variables (s t u : set α)
-- BEGIN
example : s ∩ (s ∪ t) = s :=
sorry
example : s ∪ (s ∩ t) = s :=
sorry
example : (s \ t) ∪ t = s ∪ t :=
sorry
example : (s \ t) ∪ (t \ s) = (s ∪ t) \ (s ∩ t) :=
sorry
-- END |
572362062e89a2276040744ae8c0783d803b7156 | d1a52c3f208fa42c41df8278c3d280f075eb020c | /stage0/src/Lean/Elab/PreDefinition/WF/Rel.lean | b1db984edd2dfe03c0de4143b2a448457827fac9 | [
"Apache-2.0",
"LLVM-exception",
"NCSA",
"LGPL-3.0-only",
"LicenseRef-scancode-inner-net-2.0",
"BSD-3-Clause",
"LGPL-2.0-or-later",
"Spencer-94",
"LGPL-2.1-or-later",
"HPND",
"LicenseRef-scancode-pcre",
"ISC",
"LGPL-2.1-only",
"LicenseRef-scancode-other-permissive",
"SunPro",
"CMU-Mach"... | permissive | cipher1024/lean4 | 6e1f98bb58e7a92b28f5364eb38a14c8d0aae393 | 69114d3b50806264ef35b57394391c3e738a9822 | refs/heads/master | 1,642,227,983,603 | 1,642,011,696,000 | 1,642,011,696,000 | 228,607,691 | 0 | 0 | Apache-2.0 | 1,576,584,269,000 | 1,576,584,268,000 | null | UTF-8 | Lean | false | false | 947 | lean | /-
Copyright (c) 2021 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Leonardo de Moura
-/
import Lean.Elab.SyntheticMVars
import Lean.Elab.PreDefinition.Basic
namespace Lean.Elab.WF
open Meta
open Term
def elabWFRel (unaryPreDef : PreDefinition) (wfStx? : Option Syntax) : TermElabM Expr := do
if let some wfStx := wfStx? then
withDeclName unaryPreDef.declName do
let α := unaryPreDef.type.bindingDomain!
let u ← getLevel α
let expectedType := mkApp (mkConst ``WellFoundedRelation [u]) α
let wfRel ← instantiateMVars (← withSynthesize <| elabTermEnsuringType wfStx expectedType)
let pendingMVarIds ← getMVars wfRel
discard <| logUnassignedUsingErrorInfos pendingMVarIds
return wfRel
else
-- TODO: try to synthesize some default relation
throwError "'termination_by' modifier missing"
end Lean.Elab.WF
|
044489983df50e5807256ca09d3fc350cf44edab | 97f752b44fd85ec3f635078a2dd125ddae7a82b6 | /hott/init/equiv.hlean | 4a93d9f291965bdb9beeb2ffe9e8a1e361387d2c | [
"Apache-2.0"
] | permissive | tectronics/lean | ab977ba6be0fcd46047ddbb3c8e16e7c26710701 | f38af35e0616f89c6e9d7e3eb1d48e47ee666efe | refs/heads/master | 1,532,358,526,384 | 1,456,276,623,000 | 1,456,276,623,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 17,032 | hlean | /-
Copyright (c) 2014 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Author: Jeremy Avigad, Jakob von Raumer, Floris van Doorn
Ported from Coq HoTT
-/
prelude
import .path .function
open eq function lift
/- Equivalences -/
-- This is our definition of equivalence. In the HoTT-book it's called
-- ihae (half-adjoint equivalence).
structure is_equiv [class] {A B : Type} (f : A → B) :=
mk' ::
(inv : B → A)
(right_inv : Πb, f (inv b) = b)
(left_inv : Πa, inv (f a) = a)
(adj : Πx, right_inv (f x) = ap f (left_inv x))
attribute is_equiv.inv [quasireducible]
-- A more bundled version of equivalence
structure equiv (A B : Type) :=
(to_fun : A → B)
(to_is_equiv : is_equiv to_fun)
namespace is_equiv
/- Some instances and closure properties of equivalences -/
postfix ⁻¹ := inv
/- a second notation for the inverse, which is not overloaded -/
postfix [parsing_only] `⁻¹ᶠ`:std.prec.max_plus := inv
section
variables {A B C : Type} (f : A → B) (g : B → C) {f' : A → B}
-- The variant of mk' where f is explicit.
protected abbreviation mk [constructor] := @is_equiv.mk' A B f
-- The identity function is an equivalence.
definition is_equiv_id [instance] [constructor] (A : Type) : (is_equiv (id : A → A)) :=
is_equiv.mk id id (λa, idp) (λa, idp) (λa, idp)
-- The composition of two equivalences is, again, an equivalence.
definition is_equiv_compose [constructor] [Hf : is_equiv f] [Hg : is_equiv g]
: is_equiv (g ∘ f) :=
is_equiv.mk (g ∘ f) (f⁻¹ ∘ g⁻¹)
abstract (λc, ap g (right_inv f (g⁻¹ c)) ⬝ right_inv g c) end
abstract (λa, ap (inv f) (left_inv g (f a)) ⬝ left_inv f a) end
abstract (λa, (whisker_left _ (adj g (f a))) ⬝
(ap_con g _ _)⁻¹ ⬝
ap02 g ((ap_con_eq_con (right_inv f) (left_inv g (f a)))⁻¹ ⬝
(ap_compose f (inv f) _ ◾ adj f a) ⬝
(ap_con f _ _)⁻¹
) ⬝
(ap_compose g f _)⁻¹) end
-- Any function equal to an equivalence is an equivlance as well.
variable {f}
definition is_equiv_eq_closed [Hf : is_equiv f] (Heq : f = f') : is_equiv f' :=
eq.rec_on Heq Hf
end
section
parameters {A B : Type} (f : A → B) (g : B → A)
(ret : Πb, f (g b) = b) (sec : Πa, g (f a) = a)
private definition adjointify_left_inv' (a : A) : g (f a) = a :=
ap g (ap f (inverse (sec a))) ⬝ ap g (ret (f a)) ⬝ sec a
private theorem adjointify_adj' (a : A) : ret (f a) = ap f (adjointify_left_inv' a) :=
let fgretrfa := ap f (ap g (ret (f a))) in
let fgfinvsect := ap f (ap g (ap f (sec a)⁻¹)) in
let fgfa := f (g (f a)) in
let retrfa := ret (f a) in
have eq1 : ap f (sec a) = _,
from calc ap f (sec a)
= idp ⬝ ap f (sec a) : by rewrite idp_con
... = (ret (f a) ⬝ (ret (f a))⁻¹) ⬝ ap f (sec a) : by rewrite con.right_inv
... = ((ret fgfa)⁻¹ ⬝ ap (f ∘ g) (ret (f a))) ⬝ ap f (sec a) : by rewrite con_ap_eq_con
... = ((ret fgfa)⁻¹ ⬝ fgretrfa) ⬝ ap f (sec a) : by rewrite ap_compose
... = (ret fgfa)⁻¹ ⬝ (fgretrfa ⬝ ap f (sec a)) : by rewrite con.assoc,
have eq2 : ap f (sec a) ⬝ idp = (ret fgfa)⁻¹ ⬝ (fgretrfa ⬝ ap f (sec a)),
from !con_idp ⬝ eq1,
have eq3 : idp = _,
from calc idp
= (ap f (sec a))⁻¹ ⬝ ((ret fgfa)⁻¹ ⬝ (fgretrfa ⬝ ap f (sec a))) : eq_inv_con_of_con_eq eq2
... = ((ap f (sec a))⁻¹ ⬝ (ret fgfa)⁻¹) ⬝ (fgretrfa ⬝ ap f (sec a)) : by rewrite con.assoc'
... = (ap f (sec a)⁻¹ ⬝ (ret fgfa)⁻¹) ⬝ (fgretrfa ⬝ ap f (sec a)) : by rewrite ap_inv
... = ((ap f (sec a)⁻¹ ⬝ (ret fgfa)⁻¹) ⬝ fgretrfa) ⬝ ap f (sec a) : by rewrite con.assoc'
... = ((retrfa⁻¹ ⬝ ap (f ∘ g) (ap f (sec a)⁻¹)) ⬝ fgretrfa) ⬝ ap f (sec a) : by rewrite con_ap_eq_con
... = ((retrfa⁻¹ ⬝ fgfinvsect) ⬝ fgretrfa) ⬝ ap f (sec a) : by rewrite ap_compose
... = (retrfa⁻¹ ⬝ (fgfinvsect ⬝ fgretrfa)) ⬝ ap f (sec a) : by rewrite con.assoc'
... = retrfa⁻¹ ⬝ ap f (ap g (ap f (sec a)⁻¹) ⬝ ap g (ret (f a))) ⬝ ap f (sec a) : by rewrite ap_con
... = retrfa⁻¹ ⬝ (ap f (ap g (ap f (sec a)⁻¹) ⬝ ap g (ret (f a))) ⬝ ap f (sec a)) : by rewrite con.assoc'
... = retrfa⁻¹ ⬝ ap f ((ap g (ap f (sec a)⁻¹) ⬝ ap g (ret (f a))) ⬝ sec a) : by rewrite -ap_con,
show ret (f a) = ap f ((ap g (ap f (sec a)⁻¹) ⬝ ap g (ret (f a))) ⬝ sec a),
from eq_of_idp_eq_inv_con eq3
definition adjointify [constructor] : is_equiv f :=
is_equiv.mk f g ret adjointify_left_inv' adjointify_adj'
end
-- Any function pointwise equal to an equivalence is an equivalence as well.
definition homotopy_closed [constructor] {A B : Type} (f : A → B) {f' : A → B} [Hf : is_equiv f]
(Hty : f ~ f') : is_equiv f' :=
adjointify f'
(inv f)
(λ b, (Hty (inv f b))⁻¹ ⬝ right_inv f b)
(λ a, (ap (inv f) (Hty a))⁻¹ ⬝ left_inv f a)
definition inv_homotopy_closed [constructor] {A B : Type} {f : A → B} {f' : B → A}
[Hf : is_equiv f] (Hty : f⁻¹ ~ f') : is_equiv f :=
adjointify f
f'
(λ b, ap f !Hty⁻¹ ⬝ right_inv f b)
(λ a, !Hty⁻¹ ⬝ left_inv f a)
definition is_equiv_up [instance] [constructor] (A : Type)
: is_equiv (up : A → lift A) :=
adjointify up down (λa, by induction a;reflexivity) (λa, idp)
section
variables {A B C : Type} (f : A → B) {f' : A → B} [Hf : is_equiv f] (g : B → C)
include Hf
--The inverse of an equivalence is, again, an equivalence.
definition is_equiv_inv [instance] [constructor] : is_equiv f⁻¹ :=
adjointify f⁻¹ f (left_inv f) (right_inv f)
definition cancel_right (g : B → C) [Hgf : is_equiv (g ∘ f)] : (is_equiv g) :=
have Hfinv [visible] : is_equiv f⁻¹, from is_equiv_inv f,
@homotopy_closed _ _ _ _ (is_equiv_compose f⁻¹ (g ∘ f)) (λb, ap g (@right_inv _ _ f _ b))
definition cancel_left (g : C → A) [Hgf : is_equiv (f ∘ g)] : (is_equiv g) :=
have Hfinv [visible] : is_equiv f⁻¹, from is_equiv_inv f,
@homotopy_closed _ _ _ _ (is_equiv_compose (f ∘ g) f⁻¹) (λa, left_inv f (g a))
definition eq_of_fn_eq_fn' {x y : A} (q : f x = f y) : x = y :=
(left_inv f x)⁻¹ ⬝ ap f⁻¹ q ⬝ left_inv f y
theorem ap_eq_of_fn_eq_fn' {x y : A} (q : f x = f y) : ap f (eq_of_fn_eq_fn' f q) = q :=
begin
rewrite [↑eq_of_fn_eq_fn',+ap_con,ap_inv,-+adj,-ap_compose,con.assoc,
ap_con_eq_con_ap (right_inv f) q,inv_con_cancel_left,ap_id],
end
definition is_equiv_ap [instance] (x y : A) : is_equiv (ap f : x = y → f x = f y) :=
adjointify
(ap f)
(eq_of_fn_eq_fn' f)
abstract (λq, !ap_con
⬝ whisker_right !ap_con _
⬝ ((!ap_inv ⬝ inverse2 (adj f _)⁻¹)
◾ (inverse (ap_compose f f⁻¹ _))
◾ (adj f _)⁻¹)
⬝ con_ap_con_eq_con_con (right_inv f) _ _
⬝ whisker_right !con.left_inv _
⬝ !idp_con) end
abstract (λp, whisker_right (whisker_left _ (ap_compose f⁻¹ f _)⁻¹) _
⬝ con_ap_con_eq_con_con (left_inv f) _ _
⬝ whisker_right !con.left_inv _
⬝ !idp_con) end
-- The function equiv_rect says that given an equivalence f : A → B,
-- and a hypothesis from B, one may always assume that the hypothesis
-- is in the image of e.
-- In fibrational terms, if we have a fibration over B which has a section
-- once pulled back along an equivalence f : A → B, then it has a section
-- over all of B.
definition is_equiv_rect (P : B → Type) (g : Πa, P (f a)) (b : B) : P b :=
right_inv f b ▸ g (f⁻¹ b)
definition is_equiv_rect' (P : A → B → Type) (g : Πb, P (f⁻¹ b) b) (a : A) : P a (f a) :=
left_inv f a ▸ g (f a)
definition is_equiv_rect_comp (P : B → Type)
(df : Π (x : A), P (f x)) (x : A) : is_equiv_rect f P df (f x) = df x :=
calc
is_equiv_rect f P df (f x)
= right_inv f (f x) ▸ df (f⁻¹ (f x)) : by esimp
... = ap f (left_inv f x) ▸ df (f⁻¹ (f x)) : by rewrite -adj
... = left_inv f x ▸ df (f⁻¹ (f x)) : by rewrite -tr_compose
... = df x : by rewrite (apd df (left_inv f x))
theorem adj_inv (b : B) : left_inv f (f⁻¹ b) = ap f⁻¹ (right_inv f b) :=
is_equiv_rect f _
(λa, eq.cancel_right (left_inv f (id a))
(whisker_left _ !ap_id⁻¹ ⬝ (ap_con_eq_con_ap (left_inv f) (left_inv f a))⁻¹) ⬝
!ap_compose ⬝ ap02 f⁻¹ (adj f a)⁻¹)
b
end
section
variables {A B C : Type} {f : A → B} [Hf : is_equiv f] {a : A} {b : B} {g : B → C} {h : A → C}
include Hf
--Rewrite rules
definition eq_of_eq_inv (p : a = f⁻¹ b) : f a = b :=
ap f p ⬝ right_inv f b
definition eq_of_inv_eq (p : f⁻¹ b = a) : b = f a :=
(eq_of_eq_inv p⁻¹)⁻¹
definition inv_eq_of_eq (p : b = f a) : f⁻¹ b = a :=
ap f⁻¹ p ⬝ left_inv f a
definition eq_inv_of_eq (p : f a = b) : a = f⁻¹ b :=
(inv_eq_of_eq p⁻¹)⁻¹
variable (f)
definition homotopy_of_homotopy_inv' (p : g ~ h ∘ f⁻¹) : g ∘ f ~ h :=
λa, p (f a) ⬝ ap h (left_inv f a)
definition homotopy_of_inv_homotopy' (p : h ∘ f⁻¹ ~ g) : h ~ g ∘ f :=
λa, ap h (left_inv f a)⁻¹ ⬝ p (f a)
definition inv_homotopy_of_homotopy' (p : h ~ g ∘ f) : h ∘ f⁻¹ ~ g :=
λb, p (f⁻¹ b) ⬝ ap g (right_inv f b)
definition homotopy_inv_of_homotopy' (p : g ∘ f ~ h) : g ~ h ∘ f⁻¹ :=
λb, ap g (right_inv f b)⁻¹ ⬝ p (f⁻¹ b)
end
--Transporting is an equivalence
definition is_equiv_tr [constructor] {A : Type} (P : A → Type) {x y : A}
(p : x = y) : (is_equiv (transport P p)) :=
is_equiv.mk _ (transport P p⁻¹) (tr_inv_tr p) (inv_tr_tr p) (tr_inv_tr_lemma p)
section
variables {A : Type} {B C : A → Type} (f : Π{a}, B a → C a) [H : Πa, is_equiv (@f a)]
{g : A → A} {g' : A → A} (h : Π{a}, B (g' a) → B (g a)) (h' : Π{a}, C (g' a) → C (g a))
include H
definition inv_commute' (p : Π⦃a : A⦄ (b : B (g' a)), f (h b) = h' (f b)) {a : A}
(c : C (g' a)) : f⁻¹ (h' c) = h (f⁻¹ c) :=
eq_of_fn_eq_fn' f (right_inv f (h' c) ⬝ ap h' (right_inv f c)⁻¹ ⬝ (p (f⁻¹ c))⁻¹)
definition fun_commute_of_inv_commute' (p : Π⦃a : A⦄ (c : C (g' a)), f⁻¹ (h' c) = h (f⁻¹ c))
{a : A} (b : B (g' a)) : f (h b) = h' (f b) :=
eq_of_fn_eq_fn' f⁻¹ (left_inv f (h b) ⬝ ap h (left_inv f b)⁻¹ ⬝ (p (f b))⁻¹)
definition ap_inv_commute' (p : Π⦃a : A⦄ (b : B (g' a)), f (h b) = h' (f b)) {a : A}
(c : C (g' a)) : ap f (inv_commute' @f @h @h' p c)
= right_inv f (h' c) ⬝ ap h' (right_inv f c)⁻¹ ⬝ (p (f⁻¹ c))⁻¹ :=
!ap_eq_of_fn_eq_fn'
end
end is_equiv
open is_equiv
namespace eq
local attribute is_equiv_tr [instance]
definition tr_inv_fn {A : Type} {B : A → Type} {a a' : A} (p : a = a') :
transport B p⁻¹ = (transport B p)⁻¹ := idp
definition tr_inv {A : Type} {B : A → Type} {a a' : A} (p : a = a') (b : B a') :
p⁻¹ ▸ b = (transport B p)⁻¹ b := idp
definition cast_inv_fn {A B : Type} (p : A = B) : cast p⁻¹ = (cast p)⁻¹ := idp
definition cast_inv {A B : Type} (p : A = B) (b : B) : cast p⁻¹ b = (cast p)⁻¹ b := idp
end eq
namespace equiv
namespace ops
attribute to_fun [coercion]
end ops
open equiv.ops
attribute to_is_equiv [instance]
infix ` ≃ `:25 := equiv
section
variables {A B C : Type}
protected definition MK [reducible] [constructor] (f : A → B) (g : B → A)
(right_inv : Πb, f (g b) = b) (left_inv : Πa, g (f a) = a) : A ≃ B :=
equiv.mk f (adjointify f g right_inv left_inv)
definition to_inv [reducible] [unfold 3] (f : A ≃ B) : B → A := f⁻¹
definition to_right_inv [reducible] [unfold 3] (f : A ≃ B) (b : B) : f (f⁻¹ b) = b :=
right_inv f b
definition to_left_inv [reducible] [unfold 3] (f : A ≃ B) (a : A) : f⁻¹ (f a) = a :=
left_inv f a
protected definition refl [refl] [constructor] : A ≃ A :=
equiv.mk id !is_equiv_id
protected definition symm [symm] (f : A ≃ B) : B ≃ A :=
equiv.mk f⁻¹ !is_equiv_inv
protected definition trans [trans] (f : A ≃ B) (g : B ≃ C) : A ≃ C :=
equiv.mk (g ∘ f) !is_equiv_compose
infixl ` ⬝e `:75 := equiv.trans
postfix `⁻¹ᵉ`:(max + 1) := equiv.symm
-- notation for inverse which is not overloaded
abbreviation erfl [constructor] := @equiv.refl
definition to_inv_trans [reducible] [unfold_full] (f : A ≃ B) (g : B ≃ C)
: to_inv (f ⬝e g) = to_fun (g⁻¹ᵉ ⬝e f⁻¹ᵉ) :=
idp
definition equiv_change_fun [constructor] (f : A ≃ B) {f' : A → B} (Heq : f ~ f') : A ≃ B :=
equiv.mk f' (is_equiv.homotopy_closed f Heq)
definition equiv_change_inv [constructor] (f : A ≃ B) {f' : B → A} (Heq : f⁻¹ ~ f')
: A ≃ B :=
equiv.mk f (inv_homotopy_closed Heq)
--rename: eq_equiv_fn_eq_of_is_equiv
definition eq_equiv_fn_eq [constructor] (f : A → B) [H : is_equiv f] (a b : A) : (a = b) ≃ (f a = f b) :=
equiv.mk (ap f) !is_equiv_ap
--rename: eq_equiv_fn_eq
definition eq_equiv_fn_eq_of_equiv [constructor] (f : A ≃ B) (a b : A) : (a = b) ≃ (f a = f b) :=
equiv.mk (ap f) !is_equiv_ap
definition equiv_ap [constructor] (P : A → Type) {a b : A} (p : a = b) : P a ≃ P b :=
equiv.mk (transport P p) !is_equiv_tr
definition equiv_of_eq [constructor] {A B : Type} (p : A = B) : A ≃ B :=
equiv_ap (λX, X) p
definition eq_of_fn_eq_fn (f : A ≃ B) {x y : A} (q : f x = f y) : x = y :=
(left_inv f x)⁻¹ ⬝ ap f⁻¹ q ⬝ left_inv f y
definition eq_of_fn_eq_fn_inv (f : A ≃ B) {x y : B} (q : f⁻¹ x = f⁻¹ y) : x = y :=
(right_inv f x)⁻¹ ⬝ ap f q ⬝ right_inv f y
--we need this theorem for the funext_of_ua proof
theorem inv_eq {A B : Type} (eqf eqg : A ≃ B) (p : eqf = eqg) : (to_fun eqf)⁻¹ = (to_fun eqg)⁻¹ :=
eq.rec_on p idp
definition equiv_of_equiv_of_eq [trans] {A B C : Type} (p : A = B) (q : B ≃ C) : A ≃ C :=
equiv_of_eq p ⬝e q
definition equiv_of_eq_of_equiv [trans] {A B C : Type} (p : A ≃ B) (q : B = C) : A ≃ C :=
p ⬝e equiv_of_eq q
definition equiv_lift [constructor] (A : Type) : A ≃ lift A := equiv.mk up _
definition equiv_rect (f : A ≃ B) (P : B → Type) (g : Πa, P (f a)) (b : B) : P b :=
right_inv f b ▸ g (f⁻¹ b)
definition equiv_rect' (f : A ≃ B) (P : A → B → Type) (g : Πb, P (f⁻¹ b) b) (a : A) : P a (f a) :=
left_inv f a ▸ g (f a)
definition equiv_rect_comp (f : A ≃ B) (P : B → Type)
(df : Π (x : A), P (f x)) (x : A) : equiv_rect f P df (f x) = df x :=
calc
equiv_rect f P df (f x)
= right_inv f (f x) ▸ df (f⁻¹ (f x)) : by esimp
... = ap f (left_inv f x) ▸ df (f⁻¹ (f x)) : by rewrite -adj
... = left_inv f x ▸ df (f⁻¹ (f x)) : by rewrite -tr_compose
... = df x : by rewrite (apd df (left_inv f x))
end
section
variables {A : Type} {B C : A → Type} (f : Π{a}, B a ≃ C a)
{g : A → A} {g' : A → A} (h : Π{a}, B (g' a) → B (g a)) (h' : Π{a}, C (g' a) → C (g a))
definition inv_commute (p : Π⦃a : A⦄ (b : B (g' a)), f (h b) = h' (f b)) {a : A}
(c : C (g' a)) : f⁻¹ (h' c) = h (f⁻¹ c) :=
inv_commute' @f @h @h' p c
definition fun_commute_of_inv_commute (p : Π⦃a : A⦄ (c : C (g' a)), f⁻¹ (h' c) = h (f⁻¹ c))
{a : A} (b : B (g' a)) : f (h b) = h' (f b) :=
fun_commute_of_inv_commute' @f @h @h' p b
end
section
variables {A B C : Type} (f : A ≃ B) {a : A} {b : B} {g : B → C} {h : A → C}
definition homotopy_of_homotopy_inv (p : g ~ h ∘ f⁻¹) : g ∘ f ~ h :=
homotopy_of_homotopy_inv' f p
definition homotopy_of_inv_homotopy (p : h ∘ f⁻¹ ~ g) : h ~ g ∘ f :=
homotopy_of_inv_homotopy' f p
definition inv_homotopy_of_homotopy (p : h ~ g ∘ f) : h ∘ f⁻¹ ~ g :=
inv_homotopy_of_homotopy' f p
definition homotopy_inv_of_homotopy (p : g ∘ f ~ h) : g ~ h ∘ f⁻¹ :=
homotopy_inv_of_homotopy' f p
end
namespace ops
postfix ⁻¹ := equiv.symm -- overloaded notation for inverse
end ops
infixl ` ⬝pe `:75 := equiv_of_equiv_of_eq
infixl ` ⬝ep `:75 := equiv_of_eq_of_equiv
end equiv
open equiv equiv.ops
namespace is_equiv
definition is_equiv_of_equiv_of_homotopy [constructor] {A B : Type} (f : A ≃ B)
{f' : A → B} (Hty : f ~ f') : is_equiv f' :=
homotopy_closed f Hty
end is_equiv
export [unfold] equiv
export [unfold] is_equiv
|
267a8306ab465e8e4f7a3d11fbcba078cecd667b | 4fa161becb8ce7378a709f5992a594764699e268 | /src/data/setoid/partition.lean | 6c0d4b0ad9458b36aaf17681bac8c92d998ae053 | [
"Apache-2.0"
] | permissive | laughinggas/mathlib | e4aa4565ae34e46e834434284cb26bd9d67bc373 | 86dcd5cda7a5017c8b3c8876c89a510a19d49aad | refs/heads/master | 1,669,496,232,688 | 1,592,831,995,000 | 1,592,831,995,000 | 274,155,979 | 0 | 0 | Apache-2.0 | 1,592,835,190,000 | 1,592,835,189,000 | null | UTF-8 | Lean | false | false | 9,003 | lean | import data.setoid.basic
import data.set.lattice
/-!
# Equivalence relations: partitions
This file comprises properties of equivalence relations viewed as partitions.
## Tags
setoid, equivalence, iseqv, relation, equivalence relation, partition, equivalence class
-/
namespace setoid
variables {α : Type*}
/-- If x ∈ α is in 2 elements of a set of sets partitioning α, those 2 sets are equal. -/
lemma eq_of_mem_eqv_class {c : set (set α)} (H : ∀ a, ∃! b ∈ c, a ∈ b)
{x b b'} (hc : b ∈ c) (hb : x ∈ b) (hc' : b' ∈ c) (hb' : x ∈ b') :
b = b' :=
(H x).unique2 hc hb hc' hb'
/-- Makes an equivalence relation from a set of sets partitioning α. -/
def mk_classes (c : set (set α)) (H : ∀ a, ∃! b ∈ c, a ∈ b) :
setoid α :=
⟨λ x y, ∀ s ∈ c, x ∈ s → y ∈ s, ⟨λ _ _ _ hx, hx,
λ x y h s hs hy, (H x).elim2 $ λ t ht hx _,
have s = t, from eq_of_mem_eqv_class H hs hy ht (h t ht hx),
this.symm ▸ hx,
λ x y z h1 h2 s hs hx, (H y).elim2 $ λ t ht hy _, (H z).elim2 $ λ t' ht' hz _,
have hst : s = t, from eq_of_mem_eqv_class H hs (h1 _ hs hx) ht hy,
have htt' : t = t', from eq_of_mem_eqv_class H ht (h2 _ ht hy) ht' hz,
(hst.trans htt').symm ▸ hz⟩⟩
/-- Makes the equivalence classes of an equivalence relation. -/
def classes (r : setoid α) : set (set α) :=
{s | ∃ y, s = {x | r.rel x y}}
lemma mem_classes (r : setoid α) (y) : {x | r.rel x y} ∈ r.classes := ⟨y, rfl⟩
/-- Two equivalence relations are equal iff all their equivalence classes are equal. -/
lemma eq_iff_classes_eq {r₁ r₂ : setoid α} :
r₁ = r₂ ↔ ∀ x, {y | r₁.rel x y} = {y | r₂.rel x y} :=
⟨λ h x, h ▸ rfl, λ h, ext' $ λ x, set.ext_iff.1 $ h x⟩
lemma rel_iff_exists_classes (r : setoid α) {x y} :
r.rel x y ↔ ∃ c ∈ r.classes, x ∈ c ∧ y ∈ c :=
⟨λ h, ⟨_, r.mem_classes y, h, r.refl' y⟩,
λ ⟨c, ⟨z, hz⟩, hx, hy⟩, by { subst c, exact r.trans' hx (r.symm' hy) }⟩
/-- Two equivalence relations are equal iff their equivalence classes are equal. -/
lemma classes_inj {r₁ r₂ : setoid α} :
r₁ = r₂ ↔ r₁.classes = r₂.classes :=
⟨λ h, h ▸ rfl, λ h, ext' $ λ a b, by simp only [rel_iff_exists_classes, exists_prop, h] ⟩
/-- The empty set is not an equivalence class. -/
lemma empty_not_mem_classes {r : setoid α} : ∅ ∉ r.classes :=
λ ⟨y, hy⟩, set.not_mem_empty y $ hy.symm ▸ r.refl' y
/-- Equivalence classes partition the type. -/
lemma classes_eqv_classes {r : setoid α} (a) : ∃! b ∈ r.classes, a ∈ b :=
exists_unique.intro2 {x | r.rel x a} (r.mem_classes a) (r.refl' _) $
begin
rintros _ ⟨y, rfl⟩ ha,
ext x,
exact ⟨λ hx, r.trans' hx (r.symm' ha), λ hx, r.trans' hx ha⟩
end
/-- If x ∈ α is in 2 equivalence classes, the equivalence classes are equal. -/
lemma eq_of_mem_classes {r : setoid α} {x b} (hc : b ∈ r.classes)
(hb : x ∈ b) {b'} (hc' : b' ∈ r.classes) (hb' : x ∈ b') : b = b' :=
eq_of_mem_eqv_class classes_eqv_classes hc hb hc' hb'
/-- The elements of a set of sets partitioning α are the equivalence classes of the
equivalence relation defined by the set of sets. -/
lemma eq_eqv_class_of_mem {c : set (set α)}
(H : ∀ a, ∃! b ∈ c, a ∈ b) {s y} (hs : s ∈ c) (hy : y ∈ s) :
s = {x | (mk_classes c H).rel x y} :=
set.ext $ λ x,
⟨λ hs', symm' (mk_classes c H) $ λ b' hb' h', eq_of_mem_eqv_class H hs hy hb' h' ▸ hs',
λ hx, (H x).elim2 $ λ b' hc' hb' h',
(eq_of_mem_eqv_class H hs hy hc' $ hx b' hc' hb').symm ▸ hb'⟩
/-- The equivalence classes of the equivalence relation defined by a set of sets
partitioning α are elements of the set of sets. -/
lemma eqv_class_mem {c : set (set α)} (H : ∀ a, ∃! b ∈ c, a ∈ b) {y} :
{x | (mk_classes c H).rel x y} ∈ c :=
(H y).elim2 $ λ b hc hy hb, eq_eqv_class_of_mem H hc hy ▸ hc
/-- Distinct elements of a set of sets partitioning α are disjoint. -/
lemma eqv_classes_disjoint {c : set (set α)} (H : ∀ a, ∃! b ∈ c, a ∈ b) :
set.pairwise_disjoint c :=
λ b₁ h₁ b₂ h₂ h, set.disjoint_left.2 $
λ x hx1 hx2, (H x).elim2 $ λ b hc hx hb, h $ eq_of_mem_eqv_class H h₁ hx1 h₂ hx2
/-- A set of disjoint sets covering α partition α (classical). -/
lemma eqv_classes_of_disjoint_union {c : set (set α)}
(hu : set.sUnion c = @set.univ α) (H : set.pairwise_disjoint c) (a) :
∃! b ∈ c, a ∈ b :=
let ⟨b, hc, ha⟩ := set.mem_sUnion.1 $ show a ∈ _, by rw hu; exact set.mem_univ a in
exists_unique.intro2 b hc ha $ λ b' hc' ha', H.elim hc' hc a ha' ha
/-- Makes an equivalence relation from a set of disjoints sets covering α. -/
def setoid_of_disjoint_union {c : set (set α)} (hu : set.sUnion c = @set.univ α)
(H : set.pairwise_disjoint c) : setoid α :=
setoid.mk_classes c $ eqv_classes_of_disjoint_union hu H
/-- The equivalence relation made from the equivalence classes of an equivalence
relation r equals r. -/
theorem mk_classes_classes (r : setoid α) :
mk_classes r.classes classes_eqv_classes = r :=
ext' $ λ x y, ⟨λ h, r.symm' (h {z | r.rel z x} (r.mem_classes x) $ r.refl' x),
λ h b hb hx, eq_of_mem_classes (r.mem_classes x) (r.refl' x) hb hx ▸ r.symm' h⟩
@[simp] theorem sUnion_classes (r : setoid α) : ⋃₀ r.classes = set.univ :=
set.eq_univ_of_forall $ λ x, set.mem_sUnion.2 ⟨{ y | r.rel y x }, ⟨x, rfl⟩, setoid.refl _⟩
section partition
/-- A collection `c : set (set α)` of sets is a partition of `α` into pairwise
disjoint sets if `∅ ∉ c` and each element `a : α` belongs to a unique set `b ∈ c`. -/
def is_partition (c : set (set α)) :=
∅ ∉ c ∧ ∀ a, ∃! b ∈ c, a ∈ b
/-- A partition of `α` does not contain the empty set. -/
lemma nonempty_of_mem_partition {c : set (set α)} (hc : is_partition c) {s} (h : s ∈ c) :
s.nonempty :=
set.ne_empty_iff_nonempty.1 $ λ hs0, hc.1 $ hs0 ▸ h
lemma is_partition_classes (r : setoid α) : is_partition r.classes :=
⟨empty_not_mem_classes, classes_eqv_classes⟩
lemma is_partition.pairwise_disjoint {c : set (set α)} (hc : is_partition c) :
c.pairwise_disjoint :=
eqv_classes_disjoint hc.2
lemma is_partition.sUnion_eq_univ {c : set (set α)} (hc : is_partition c) :
⋃₀ c = set.univ :=
set.eq_univ_of_forall $ λ x, set.mem_sUnion.2 $
let ⟨t, ht⟩ := hc.2 x in ⟨t, by clear_aux_decl; finish⟩
/-- All elements of a partition of α are the equivalence class of some y ∈ α. -/
lemma exists_of_mem_partition {c : set (set α)} (hc : is_partition c) {s} (hs : s ∈ c) :
∃ y, s = {x | (mk_classes c hc.2).rel x y} :=
let ⟨y, hy⟩ := nonempty_of_mem_partition hc hs in
⟨y, eq_eqv_class_of_mem hc.2 hs hy⟩
/-- The equivalence classes of the equivalence relation defined by a partition of α equal
the original partition. -/
theorem classes_mk_classes (c : set (set α)) (hc : is_partition c) :
(mk_classes c hc.2).classes = c :=
set.ext $ λ s,
⟨λ ⟨y, hs⟩, (hc.2 y).elim2 $ λ b hm hb hy,
by rwa (show s = b, from hs.symm ▸ set.ext
(λ x, ⟨λ hx, symm' (mk_classes c hc.2) hx b hm hb,
λ hx b' hc' hx', eq_of_mem_eqv_class hc.2 hm hx hc' hx' ▸ hb⟩)),
exists_of_mem_partition hc⟩
/-- Defining `≤` on partitions as the `≤` defined on their induced equivalence relations. -/
instance partition.le : has_le (subtype (@is_partition α)) :=
⟨λ x y, mk_classes x.1 x.2.2 ≤ mk_classes y.1 y.2.2⟩
/-- Defining a partial order on partitions as the partial order on their induced
equivalence relations. -/
instance partition.partial_order : partial_order (subtype (@is_partition α)) :=
{ le := (≤),
lt := λ x y, x ≤ y ∧ ¬y ≤ x,
le_refl := λ _, @le_refl (setoid α) _ _,
le_trans := λ _ _ _, @le_trans (setoid α) _ _ _ _,
lt_iff_le_not_le := λ _ _, iff.rfl,
le_antisymm := λ x y hx hy, let h := @le_antisymm (setoid α) _ _ _ hx hy in by
rw [subtype.ext, ←classes_mk_classes x.1 x.2, ←classes_mk_classes y.1 y.2, h] }
variables (α)
/-- The order-preserving bijection between equivalence relations and partitions of sets. -/
def partition.order_iso :
((≤) : setoid α → setoid α → Prop) ≃o (@setoid.partition.partial_order α).le :=
{ to_fun := λ r, ⟨r.classes, empty_not_mem_classes, classes_eqv_classes⟩,
inv_fun := λ x, mk_classes x.1 x.2.2,
left_inv := mk_classes_classes,
right_inv := λ x, by rw [subtype.ext, ←classes_mk_classes x.1 x.2],
ord' := λ x y, by conv {to_lhs, rw [←mk_classes_classes x, ←mk_classes_classes y]}; refl }
variables {α}
/-- A complete lattice instance for partitions; there is more infrastructure for the
equivalent complete lattice on equivalence relations. -/
instance partition.complete_lattice : complete_lattice (subtype (@is_partition α)) :=
galois_insertion.lift_complete_lattice $ @order_iso.to_galois_insertion
_ (subtype (@is_partition α)) _ (partial_order.to_preorder _) $ partition.order_iso α
end partition
end setoid
|
ad259fc1ceef2cc3f5f454b86998647441778cc6 | 3f7026ea8bef0825ca0339a275c03b911baef64d | /src/tactic/lift.lean | 516b8dec5402629dab45a7e9875f20573424637e | [
"Apache-2.0"
] | permissive | rspencer01/mathlib | b1e3afa5c121362ef0881012cc116513ab09f18c | c7d36292c6b9234dc40143c16288932ae38fdc12 | refs/heads/master | 1,595,010,346,708 | 1,567,511,503,000 | 1,567,511,503,000 | 206,071,681 | 0 | 0 | Apache-2.0 | 1,567,513,643,000 | 1,567,513,643,000 | null | UTF-8 | Lean | false | false | 7,164 | lean | /-
Copyright (c) 2019 Floris van Doorn. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Floris van Doorn
-/
import tactic.rcases
/-!
# lift tactic
This file defines the lift tactic, allowing the user to lift elements from one type to another
under a specified condition.
## Tags
lift, tactic
-/
universe variables u v
/-- A class specifying that you can lift elements from `α` to `β` assuming `cond` is true.
Used by the tactic `lift`. -/
class can_lift (α : Type u) (β : Type v) : Type (max u v) :=
(coe : β → α)
(cond : α → Prop)
(prf : ∀(x : α), cond x → ∃(y : β), coe y = x)
open tactic
@[user_attribute]
meta def can_lift_attr : user_attribute (list name) :=
{ name := "_can_lift",
descr := "internal attribute used by the lift tactic",
cache_cfg := { mk_cache := λ _,
do { ls ← attribute.get_instances `instance,
ls.mfilter $ λ l,
do { (_,t) ← mk_const l >>= infer_type >>= mk_local_pis,
return $ t.is_app_of `can_lift } },
dependencies := [`instance] } }
instance : can_lift ℤ ℕ :=
⟨coe, λ n, 0 ≤ n, λ n hn, ⟨n.nat_abs, int.nat_abs_of_nonneg hn⟩⟩
namespace tactic
/- Construct the proof of `cond x` in the lift tactic.
`e` is the expression being lifted and `h` is the specified proof of `can_lift.cond e`.
`old_tp` and `new_tp` are the arguments to `can_lift` and `inst` is the `can_lift`-instance.
`s` and `to_unfold` contain the information of the simp set used to simplify.
If the proof was specified, we check whether it has the correct type.
If it doesn't have the correct type, we display an error message
(but first call dsimp on the expression in the message).
If the proof was not specified, we create assert it as a local constant.
(The name of this local constant doesn't matter, since `lift` will remove it from the context) -/
meta def get_lift_prf (h : option pexpr) (old_tp new_tp inst e : expr)
(s : simp_lemmas) (to_unfold : list name) : tactic expr :=
if h_some : h.is_some then
(do prf ← i_to_expr (option.get h_some), prf_ty ← infer_type prf,
expected_prf_ty ← mk_app `can_lift.cond [old_tp, new_tp, inst, e],
unify prf_ty expected_prf_ty <|>
(do expected_prf_ty2 ← expected_prf_ty.dsimp {} tt [`can_lift],
pformat!"lift tactic failed. The type of\n {prf}\nis\n {prf_ty}\nbut it is expected to be\n {expected_prf_ty2}" >>= fail),
return prf)
else (do prf_nm ← get_unused_name,
prf ← mk_app `can_lift.cond [old_tp, new_tp, inst, e] >>= assert prf_nm,
dsimp_target s to_unfold {}, swap, return prf)
/-- Lift the expression `p` to the type `t`, with proof obligation given by `h`.
The list `n` is used for the two newly generated names, and to specify whether `h` should
remain in the local context. See the doc string of `tactic.interactive.lift` for more information.
-/
meta def lift (p : pexpr) (t : pexpr) (h : option pexpr) (n : list name) : tactic unit :=
do
e ← i_to_expr p,
old_tp ← infer_type e,
new_tp ← i_to_expr t,
inst_type ← mk_app ``can_lift [old_tp, new_tp],
inst ← mk_instance inst_type <|>
pformat!"Failed to find a lift from {old_tp} to {new_tp}. Provide an instance of\n {inst_type}"
>>= fail,
/- make the simp set to get rid of `can_lift` projections -/
can_lift_instances ← can_lift_attr.get_cache >>= λ l, l.mmap resolve_name,
(s, to_unfold) ← mk_simp_set tt [] $ can_lift_instances.map simp_arg_type.expr,
prf_cond ← get_lift_prf h old_tp new_tp inst e s to_unfold,
let prf_nm := if prf_cond.is_local_constant then some prf_cond.local_pp_name else none,
/- We use mk_mapp to apply `can_lift.prf` to all but one argument, and then just use expr.app
for the last argument. For some reason we get an error when applying mk_mapp it to all
arguments. -/
prf_ex0 ← mk_mapp `can_lift.prf [old_tp, new_tp, inst, e],
let prf_ex := prf_ex0 prf_cond,
/- Find the name of the new variable -/
new_nm ← if n ≠ [] then return n.head
else if e.is_local_constant then return e.local_pp_name
else get_unused_name,
/- Find the name of the proof of the equation -/
eq_nm ← if hn : 1 < n.length then return (n.nth_le 1 hn)
else if e.is_local_constant then return `rfl
else get_unused_name `h,
/- We add the proof of the existential statement to the context and then apply
`dsimp` to it, unfolding all `can_lift` instances. -/
temp_nm ← get_unused_name,
temp_e ← note temp_nm none prf_ex,
dsimp_hyp temp_e s to_unfold {},
/- We case on the existential. We use `rcases` because `eq_nm` could be `rfl`. -/
rcases (pexpr.of_expr temp_e) [[rcases_patt.one new_nm, rcases_patt.one eq_nm]],
/- If the lifted variable is not a local constant, try to rewrite it away using the new equality-/
when (¬ e.is_local_constant) (get_local eq_nm >>=
λ e, interactive.rw ⟨[⟨⟨0, 0⟩, tt, (pexpr.of_expr e)⟩], none⟩ interactive.loc.wildcard),
/- If the proof `prf_cond` is a local constant, remove it from the context,
unless `n` specifies to keep it. -/
if h_prf_nm : prf_nm.is_some ∧ n.nth 2 ≠ prf_nm then
get_local (option.get h_prf_nm.1) >>= clear else skip
open lean.parser interactive interactive.types
local postfix `?`:9001 := optional
meta def using_texpr := (tk "using" *> texpr)?
reserve notation `to`
meta def to_texpr := (tk "to" *> texpr)
namespace interactive
/-- Lift an expression to another type.
* Usage: `'lift' expr 'to' expr ('using' expr)? ('with' id (id id?)?)?`.
* If `n : ℤ` and `hn : n ≥ 0` then the tactic `lift n to ℕ using hn` creates a new
constant of type ℕ, also named `n` and replaces all occurrences of the old variable `(n : ℤ)`
with `↑n` (where `n` in the new variable). It will remove `n` and `hn` from the context.
* The argument `using hn` is optional, the tactic `lift n to ℕ` does the same, but also creates a
new subgoal that `n ≥ 0` (where `n` is the old variable).
* You can also use `lift n to ℕ using e` where `e` is any expression of type `n ≥ 0`.
* Use `lift n to ℕ with k` to specify the name of the new variable.
* Use `lift n to ℕ with k hk` to also specify the name of the equality `↑k = n`. In this case, `n`
will remain in the context. You can use `rfl` for the name of `hk` to substitute it away.
* You can also use `lift e to ℕ with k hk` where `e` is any expression of type `ℤ`.
In this case, the `hk` will always stay in the context, but it will be used to rewrite `e` in
all hypotheses and the target.
* The tactic `lift n to ℕ using h` will remove `h` from the context. If you want to keep it,
specify it again as the third argument to `with`, like this: `lift n to ℕ using h with n rfl h`.
* More generally, this can lift an expression from `α` to `β` assuming that there is an instance
of `can_lift α β`. In this case the proof obligation is specified by `can_lift.cond`.
-/
meta def lift (p : parse texpr) (t : parse to_texpr) (h : parse using_texpr)
(n : parse with_ident_list) : tactic unit :=
tactic.lift p t h n
end interactive
end tactic
|
4c266ad173572221be47208a51603ae092e78696 | 08bd4ba4ca87dba1f09d2c96a26f5d65da81f4b4 | /src/Lean/Meta/Tactic/Simp/Rewrite.lean | 33b25082aa3ea3e98f953318ab484d50eeef542a | [
"LLVM-exception",
"NCSA",
"LGPL-3.0-only",
"LicenseRef-scancode-inner-net-2.0",
"BSD-3-Clause",
"LGPL-2.0-or-later",
"Spencer-94",
"LGPL-2.1-or-later",
"HPND",
"LicenseRef-scancode-pcre",
"ISC",
"LGPL-2.1-only",
"Apache-2.0",
"LicenseRef-scancode-other-permissive",
"SunPro",
"CMU-Mach"... | permissive | gebner/lean4 | d51c4922640a52a6f7426536ea669ef18a1d9af5 | 8cd9ce06843c9d42d6d6dc43d3e81e3b49dfc20f | refs/heads/master | 1,685,732,780,391 | 1,672,962,627,000 | 1,673,459,398,000 | 373,307,283 | 0 | 0 | Apache-2.0 | 1,691,316,730,000 | 1,622,669,271,000 | Lean | UTF-8 | Lean | false | false | 10,956 | lean | /-
Copyright (c) 2020 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Leonardo de Moura
-/
import Lean.Meta.ACLt
import Lean.Meta.Match.MatchEqsExt
import Lean.Meta.AppBuilder
import Lean.Meta.SynthInstance
import Lean.Meta.Tactic.Simp.Types
import Lean.Meta.Tactic.LinearArith.Simp
namespace Lean.Meta.Simp
def mkEqTrans (r₁ r₂ : Result) : MetaM Result := do
match r₁.proof? with
| none => return r₂
| some p₁ => match r₂.proof? with
| none => return { r₂ with proof? := r₁.proof? }
| some p₂ => return { r₂ with proof? := (← Meta.mkEqTrans p₁ p₂) }
def synthesizeArgs (thmId : Origin) (xs : Array Expr) (bis : Array BinderInfo) (discharge? : Expr → SimpM (Option Expr)) : SimpM Bool := do
for x in xs, bi in bis do
let type ← inferType x
if bi.isInstImplicit then
unless (← synthesizeInstance x type) do
return false
else if (← instantiateMVars x).isMVar then
if (← isProp type) then
match (← discharge? type) with
| some proof =>
unless (← isDefEq x proof) do
trace[Meta.Tactic.simp.discharge] "{← ppOrigin thmId}, failed to assign proof{indentExpr type}"
return false
| none =>
trace[Meta.Tactic.simp.discharge] "{← ppOrigin thmId}, failed to discharge hypotheses{indentExpr type}"
return false
else if (← isClass? type).isSome then
unless (← synthesizeInstance x type) do
return false
return true
where
synthesizeInstance (x type : Expr) : SimpM Bool := do
match (← trySynthInstance type) with
| LOption.some val =>
if (← withReducibleAndInstances <| isDefEq x val) then
return true
else
trace[Meta.Tactic.simp.discharge] "{← ppOrigin thmId}, failed to assign instance{indentExpr type}\nsythesized value{indentExpr val}\nis not definitionally equal to{indentExpr x}"
return false
| _ =>
trace[Meta.Tactic.simp.discharge] "{← ppOrigin thmId}, failed to synthesize instance{indentExpr type}"
return false
private def tryTheoremCore (lhs : Expr) (xs : Array Expr) (bis : Array BinderInfo) (val : Expr) (type : Expr) (e : Expr) (thm : SimpTheorem) (numExtraArgs : Nat) (discharge? : Expr → SimpM (Option Expr)) : SimpM (Option Result) := do
let rec go (e : Expr) : SimpM (Option Result) := do
if (← isDefEq lhs e) then
unless (← synthesizeArgs thm.origin xs bis discharge?) do
return none
let proof? ← if thm.rfl then
pure none
else
let proof ← instantiateMVars (mkAppN val xs)
if (← hasAssignableMVar proof) then
trace[Meta.Tactic.simp.rewrite] "{← ppSimpTheorem thm}, has unassigned metavariables after unification"
return none
pure <| some proof
let rhs := (← instantiateMVars type).appArg!
if e == rhs then
return none
if thm.perm then
/-
We use `.reduceSimpleOnly` because this is how we indexed the discrimination tree.
See issue #1815
-/
if !(← Expr.acLt rhs e .reduceSimpleOnly) then
trace[Meta.Tactic.simp.rewrite] "{← ppSimpTheorem thm}, perm rejected {e} ==> {rhs}"
return none
trace[Meta.Tactic.simp.rewrite] "{← ppSimpTheorem thm}, {e} ==> {rhs}"
recordSimpTheorem thm.origin
return some { expr := rhs, proof? }
else
unless lhs.isMVar do
-- We do not report unification failures when `lhs` is a metavariable
-- Example: `x = ()`
-- TODO: reconsider if we want thms such as `(x : Unit) → x = ()`
trace[Meta.Tactic.simp.unify] "{← ppSimpTheorem thm}, failed to unify{indentExpr lhs}\nwith{indentExpr e}"
return none
/- Check whether we need something more sophisticated here.
This simple approach was good enough for Mathlib 3 -/
let mut extraArgs := #[]
let mut e := e
for _ in [:numExtraArgs] do
extraArgs := extraArgs.push e.appArg!
e := e.appFn!
extraArgs := extraArgs.reverse
match (← go e) with
| none => return none
| some { expr := eNew, proof? := none, .. } =>
if (← hasAssignableMVar eNew) then
trace[Meta.Tactic.simp.rewrite] "{← ppSimpTheorem thm}, resulting expression has unassigned metavariables"
return none
return some { expr := mkAppN eNew extraArgs }
| some { expr := eNew, proof? := some proof, .. } =>
let mut proof := proof
for extraArg in extraArgs do
proof ← mkCongrFun proof extraArg
if (← hasAssignableMVar eNew) then
trace[Meta.Tactic.simp.rewrite] "{← ppSimpTheorem thm}, resulting expression has unassigned metavariables"
return none
return some { expr := mkAppN eNew extraArgs, proof? := some proof }
def tryTheoremWithExtraArgs? (e : Expr) (thm : SimpTheorem) (numExtraArgs : Nat) (discharge? : Expr → SimpM (Option Expr)) : SimpM (Option Result) :=
withNewMCtxDepth do
let val ← thm.getValue
let type ← inferType val
let (xs, bis, type) ← forallMetaTelescopeReducing type
let type ← whnf (← instantiateMVars type)
let lhs := type.appFn!.appArg!
tryTheoremCore lhs xs bis val type e thm numExtraArgs discharge?
def tryTheorem? (e : Expr) (thm : SimpTheorem) (discharge? : Expr → SimpM (Option Expr)) : SimpM (Option Result) := do
withNewMCtxDepth do
let val ← thm.getValue
let type ← inferType val
let (xs, bis, type) ← forallMetaTelescopeReducing type
let type ← whnf (← instantiateMVars type)
let lhs := type.appFn!.appArg!
match (← tryTheoremCore lhs xs bis val type e thm 0 discharge?) with
| some result => return some result
| none =>
let lhsNumArgs := lhs.getAppNumArgs
let eNumArgs := e.getAppNumArgs
if eNumArgs > lhsNumArgs then
tryTheoremCore lhs xs bis val type e thm (eNumArgs - lhsNumArgs) discharge?
else
return none
/--
Remark: the parameter tag is used for creating trace messages. It is irrelevant otherwise.
-/
def rewrite? (e : Expr) (s : SimpTheoremTree) (erased : PHashSet Origin) (discharge? : Expr → SimpM (Option Expr)) (tag : String) (rflOnly : Bool) : SimpM (Option Result) := do
let candidates ← s.getMatchWithExtra e
if candidates.isEmpty then
trace[Debug.Meta.Tactic.simp] "no theorems found for {tag}-rewriting {e}"
return none
else
let candidates := candidates.insertionSort fun e₁ e₂ => e₁.1.priority > e₂.1.priority
for (thm, numExtraArgs) in candidates do
unless inErasedSet thm || (rflOnly && !thm.rfl) do
if let some result ← tryTheoremWithExtraArgs? e thm numExtraArgs discharge? then
trace[Debug.Meta.Tactic.simp] "rewrite result {e} => {result.expr}"
return some result
return none
where
inErasedSet (thm : SimpTheorem) : Bool :=
erased.contains thm.origin
@[inline] def andThen (s : Step) (f? : Expr → SimpM (Option Step)) : SimpM Step := do
match s with
| Step.done _ => return s
| Step.visit r =>
if let some s' ← f? r.expr then
return s'.updateResult (← mkEqTrans r s'.result)
else
return s
def rewriteCtorEq? (e : Expr) : MetaM (Option Result) := withReducibleAndInstances do
match e.eq? with
| none => return none
| some (_, lhs, rhs) =>
let lhs ← whnf lhs
let rhs ← whnf rhs
let env ← getEnv
match lhs.constructorApp? env, rhs.constructorApp? env with
| some (c₁, _), some (c₂, _) =>
if c₁.name != c₂.name then
withLocalDeclD `h e fun h =>
return some { expr := mkConst ``False, proof? := (← mkEqFalse' (← mkLambdaFVars #[h] (← mkNoConfusion (mkConst ``False) h))) }
else
return none
| _, _ => return none
@[inline] def tryRewriteCtorEq? (e : Expr) : SimpM (Option Step) := do
match (← rewriteCtorEq? e) with
| some r => return Step.done r
| none => return none
def rewriteUsingDecide? (e : Expr) : MetaM (Option Result) := withReducibleAndInstances do
if e.hasFVar || e.hasMVar || e.isConstOf ``True || e.isConstOf ``False then
return none
else
try
let d ← mkDecide e
let r ← withDefault <| whnf d
if r.isConstOf ``true then
return some { expr := mkConst ``True, proof? := mkAppN (mkConst ``eq_true_of_decide) #[e, d.appArg!, (← mkEqRefl (mkConst ``true))] }
else if r.isConstOf ``false then
return some { expr := mkConst ``False, proof? := mkAppN (mkConst ``eq_false_of_decide) #[e, d.appArg!, (← mkEqRefl (mkConst ``false))] }
else
return none
catch _ =>
return none
@[inline] def tryRewriteUsingDecide? (e : Expr) : SimpM (Option Step) := do
if (← read).config.decide then
match (← rewriteUsingDecide? e) with
| some r => return Step.done r
| none => return none
else
return none
def simpArith? (e : Expr) : SimpM (Option Step) := do
if !(← read).config.arith then return none
let some (e', h) ← Linear.simp? e (← read).parent? | return none
return Step.visit { expr := e', proof? := h }
def simpMatchCore? (app : MatcherApp) (e : Expr) (discharge? : Expr → SimpM (Option Expr)) : SimpM (Option Step) := do
for matchEq in (← Match.getEquationsFor app.matcherName).eqnNames do
-- Try lemma
match (← withReducible <| Simp.tryTheorem? e { origin := .decl matchEq, proof := mkConst matchEq, rfl := (← isRflTheorem matchEq) } discharge?) with
| none => pure ()
| some r => return some (Simp.Step.done r)
return none
def simpMatch? (discharge? : Expr → SimpM (Option Expr)) (e : Expr) : SimpM (Option Step) := do
if (← read).config.iota then
let some app ← matchMatcherApp? e | return none
simpMatchCore? app e discharge?
else
return none
def rewritePre (e : Expr) (discharge? : Expr → SimpM (Option Expr)) (rflOnly := false) : SimpM Step := do
for thms in (← read).simpTheorems do
if let some r ← rewrite? e thms.pre thms.erased discharge? (tag := "pre") (rflOnly := rflOnly) then
return Step.visit r
return Step.visit { expr := e }
def rewritePost (e : Expr) (discharge? : Expr → SimpM (Option Expr)) (rflOnly := false) : SimpM Step := do
for thms in (← read).simpTheorems do
if let some r ← rewrite? e thms.post thms.erased discharge? (tag := "post") (rflOnly := rflOnly) then
return Step.visit r
return Step.visit { expr := e }
def preDefault (e : Expr) (discharge? : Expr → SimpM (Option Expr)) : SimpM Step := do
let s ← rewritePre e discharge?
andThen s tryRewriteUsingDecide?
def postDefault (e : Expr) (discharge? : Expr → SimpM (Option Expr)) : SimpM Step := do
let s ← rewritePost e discharge?
let s ← andThen s (simpMatch? discharge?)
let s ← andThen s simpArith?
let s ← andThen s tryRewriteUsingDecide?
andThen s tryRewriteCtorEq?
end Lean.Meta.Simp
|
c6bc09023c1a3fd69fb6f72bc15a948955d54208 | 9338c56dfd6ceacc3e5e63e32a7918cfec5d5c69 | /src/Kenny/sites/basic.lean | 72b8e6452d813e771b091b26d354512505de89c0 | [] | no_license | Project-Reykjavik/lean-scheme | 7322eefce504898ba33737970be89dc751108e2b | 6d3ec18fecfd174b79d0ce5c85a783f326dd50f6 | refs/heads/master | 1,669,426,172,632 | 1,578,284,588,000 | 1,578,284,588,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 3,825 | lean | import category_theory.limits.limits
universes v w u
namespace category_theory
inductive pullback_diagram : Type v
| base_left | base_right | target
namespace pullback_diagram
inductive hom : pullback_diagram → pullback_diagram → Type v
| id_base_left : hom base_left base_left
| id_base_right : hom base_right base_right
| id_target : hom target target
| to_target_left : hom base_left target
| to_target_right : hom base_right target
def id : Π X : pullback_diagram.{v}, hom X X
| base_left := hom.id_base_left
| base_right := hom.id_base_right
| target := hom.id_target
def comp : Π X Y Z : pullback_diagram.{v}, hom X Y → hom Y Z → hom X Z
| _ _ _ hom.id_base_left g := g
| _ _ _ hom.id_base_right g := g
| _ _ _ hom.id_target g := g
| _ _ _ hom.to_target_left hom.id_target := hom.to_target_left
| _ _ _ hom.to_target_right hom.id_target := hom.to_target_right
instance : small_category pullback_diagram.{v} :=
{ hom := hom,
id := id,
comp := comp,
comp_id' := λ X Y f, by cases f; refl,
id_comp' := λ X Y f, by cases f; refl,
assoc' := λ W X Y Z f g h, by cases f; cases g; cases h; refl }
def to_category {C : Type u} [𝒞 : category.{v} C] {X Y Z : C} (f : X ⟶ Z) (g : Y ⟶ Z) :
pullback_diagram.{w} ⥤ C :=
{ obj := λ p, pullback_diagram.rec_on p X Y Z,
map := λ p q h, @hom.rec_on (λ p' q' h', (pullback_diagram.rec_on p' X Y Z : C) ⟶ pullback_diagram.rec_on q' X Y Z) p q h
(𝟙 X) (𝟙 Y) (𝟙 Z) f g,
map_id' := λ p, by cases p; refl,
map_comp' := λ p q r h1 h2, by cases h1; cases h2; dsimp only [category_struct.comp, comp]; simp only [category.comp_id, category.id_comp] }
def to_category_cone {C : Type u} [𝒞 : category.{v} C] {X Y Z : C} (f : X ⟶ Z) (g : Y ⟶ Z) (W : C) (f' : W ⟶ X) (g' : W ⟶ Y) (h : f' ≫ f = g' ≫ g) :
limits.cone (to_category f g) :=
{ X := W,
π :=
{ app := λ p, pullback_diagram.rec_on p f' g' (f' ≫ f),
naturality' := λ p q f, by cases f; dsimp only [functor.const, to_category]; simp only [category.comp_id, category.id_comp, h] } }
end pullback_diagram
@[class] def has_pullback (C : Type u) [category.{v} C] : Type (max u v) :=
limits.has_limits_of_shape pullback_diagram.{v} C
section has_pullback
variables {C : Type u} [𝒞 : category.{v} C] [P : has_pullback.{v} C]
include 𝒞 P
def pullback.limit {X Y Z : C} (f : X ⟶ Z) (g : Y ⟶ Z) :
limits.has_limit (pullback_diagram.to_category f g) :=
@@limits.has_limits_of_shape.has_limit _ _ P (pullback_diagram.to_category f g)
def pullback {X Y Z : C} (f : X ⟶ Z) (g : Y ⟶ Z) : C :=
(pullback.limit f g).cone.X
def pullback.fst {X Y Z : C} (f : X ⟶ Z) (g : Y ⟶ Z) : pullback f g ⟶ X :=
(pullback.limit f g).cone.π.app pullback_diagram.base_left
def pullback.snd {X Y Z : C} (f : X ⟶ Z) (g : Y ⟶ Z) : pullback f g ⟶ Y :=
(pullback.limit f g).cone.π.app pullback_diagram.base_right
def pullback.corec {X Y Z : C} (f : X ⟶ Z) (g : Y ⟶ Z) (W : C) (f' : W ⟶ X) (g' : W ⟶ Y) (h : f' ≫ f = g' ≫ g) : W ⟶ pullback f g :=
(pullback.limit f g).is_limit.lift (pullback_diagram.to_category_cone f g W f' g' h)
end has_pullback
class has_site (C : Type u) [category.{v} C] [has_pullback C] : Type (max u v) :=
(cov : Π U : C, set (set (Σ V, V ⟶ U)))
(iso_mem : ∀ {U V : C} (e : V ≅ U), { sigma.mk V e.1 } ∈ cov U)
(comp_mem : ∀ {U : C} (S : set (Σ V, V ⟶ U)) (HS : S ∈ cov U)
(F : Π m : Σ V, V ⟶ U, m ∈ S → set (Σ V, V ⟶ m.1)),
(∀ m hm, F m hm ∈ cov m.1) →
{ m | ∃ t ∈ S, ∃ u ∈ F t H, (⟨u.1, u.2 ≫ t.2⟩ : Σ V, V ⟶ U) = m } ∈ cov U)
(pullback_mem : ∀ {U} (S ∈ cov U) (V) (f : V ⟶ U),
{ m | ∃ t ∈ S, (⟨_, pullback.fst f t.2⟩ : Σ W, W ⟶ V) = m } ∈ cov V)
end category_theory
|
a1dc2adef574fb451d53060b8bcba8408cf1c825 | 8cae430f0a71442d02dbb1cbb14073b31048e4b0 | /src/group_theory/free_group.lean | d466c401c27f9114ac04bf5d0f93690b345717c0 | [
"Apache-2.0"
] | permissive | leanprover-community/mathlib | 56a2cadd17ac88caf4ece0a775932fa26327ba0e | 442a83d738cb208d3600056c489be16900ba701d | refs/heads/master | 1,693,584,102,358 | 1,693,471,902,000 | 1,693,471,902,000 | 97,922,418 | 1,595 | 352 | Apache-2.0 | 1,694,693,445,000 | 1,500,624,130,000 | Lean | UTF-8 | Lean | false | false | 42,576 | lean | /-
Copyright (c) 2018 Kenny Lau. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kenny Lau
-/
import data.fintype.basic
import data.list.sublists
import group_theory.subgroup.basic
/-!
# Free groups
> THIS FILE IS SYNCHRONIZED WITH MATHLIB4.
> Any changes to this file require a corresponding PR to mathlib4.
This file defines free groups over a type. Furthermore, it is shown that the free group construction
is an instance of a monad. For the result that `free_group` is the left adjoint to the forgetful
functor from groups to types, see `algebra/category/Group/adjunctions`.
## Main definitions
* `free_group`/`free_add_group`: the free group (resp. free additive group) associated to a type
`α` defined as the words over `a : α × bool` modulo the relation `a * x * x⁻¹ * b = a * b`.
* `free_group.mk`/`free_add_group.mk`: the canonical quotient map `list (α × bool) → free_group α`.
* `free_group.of`/`free_add_group.of`: the canonical injection `α → free_group α`.
* `free_group.lift f`/`free_add_group.lift`: the canonical group homomorphism `free_group α →* G`
given a group `G` and a function `f : α → G`.
## Main statements
* `free_group.church_rosser`/`free_add_group.church_rosser`: The Church-Rosser theorem for word
reduction (also known as Newman's diamond lemma).
* `free_group.free_group_unit_equiv_int`: The free group over the one-point type
is isomorphic to the integers.
* The free group construction is an instance of a monad.
## Implementation details
First we introduce the one step reduction relation `free_group.red.step`:
`w * x * x⁻¹ * v ~> w * v`, its reflexive transitive closure `free_group.red.trans`
and prove that its join is an equivalence relation. Then we introduce `free_group α` as a quotient
over `free_group.red.step`.
For the additive version we introduce the same relation under a different name so that we can
distinguish the quotient types more easily.
## Tags
free group, Newman's diamond lemma, Church-Rosser theorem
-/
open relation
universes u v w
variables {α : Type u}
local attribute [simp] list.append_eq_has_append
run_cmd to_additive.map_namespace `free_group `free_add_group
/-- Reduction step for the additive free group relation: `w + x + (-x) + v ~> w + v` -/
inductive free_add_group.red.step : list (α × bool) → list (α × bool) → Prop
| bnot {L₁ L₂ x b} : free_add_group.red.step (L₁ ++ (x, b) :: (x, bnot b) :: L₂) (L₁ ++ L₂)
attribute [simp] free_add_group.red.step.bnot
/-- Reduction step for the multiplicative free group relation: `w * x * x⁻¹ * v ~> w * v` -/
@[to_additive]
inductive free_group.red.step : list (α × bool) → list (α × bool) → Prop
| bnot {L₁ L₂ x b} : free_group.red.step (L₁ ++ (x, b) :: (x, bnot b) :: L₂) (L₁ ++ L₂)
attribute [simp] free_group.red.step.bnot
namespace free_group
variables {L L₁ L₂ L₃ L₄ : list (α × bool)}
/-- Reflexive-transitive closure of red.step -/
@[to_additive "Reflexive-transitive closure of red.step"]
def red : list (α × bool) → list (α × bool) → Prop := refl_trans_gen red.step
@[refl, to_additive] lemma red.refl : red L L := refl_trans_gen.refl
@[trans, to_additive] lemma red.trans : red L₁ L₂ → red L₂ L₃ → red L₁ L₃ := refl_trans_gen.trans
namespace red
/-- Predicate asserting that the word `w₁` can be reduced to `w₂` in one step, i.e. there are words
`w₃ w₄` and letter `x` such that `w₁ = w₃xx⁻¹w₄` and `w₂ = w₃w₄` -/
@[to_additive
"Predicate asserting that the word `w₁` can be reduced to `w₂` in one step, i.e. there are words
`w₃ w₄` and letter `x` such that `w₁ = w₃ + x + (-x) + w₄` and `w₂ = w₃w₄`"]
theorem step.length : ∀ {L₁ L₂ : list (α × bool)}, step L₁ L₂ → L₂.length + 2 = L₁.length
| _ _ (@red.step.bnot _ L1 L2 x b) := by rw [list.length_append, list.length_append]; refl
@[simp, to_additive]
lemma step.bnot_rev {x b} : step (L₁ ++ (x, bnot b) :: (x, b) :: L₂) (L₁ ++ L₂) :=
by cases b; from step.bnot
@[simp, to_additive] lemma step.cons_bnot {x b} : red.step ((x, b) :: (x, bnot b) :: L) L :=
@step.bnot _ [] _ _ _
@[simp, to_additive] lemma step.cons_bnot_rev {x b} : red.step ((x, bnot b) :: (x, b) :: L) L :=
@red.step.bnot_rev _ [] _ _ _
@[to_additive]
theorem step.append_left : ∀ {L₁ L₂ L₃ : list (α × bool)}, step L₂ L₃ → step (L₁ ++ L₂) (L₁ ++ L₃)
| _ _ _ red.step.bnot := by rw [← list.append_assoc, ← list.append_assoc]; constructor
@[to_additive]
theorem step.cons {x} (H : red.step L₁ L₂) : red.step (x :: L₁) (x :: L₂) :=
@step.append_left _ [x] _ _ H
@[to_additive]
theorem step.append_right : ∀ {L₁ L₂ L₃ : list (α × bool)}, step L₁ L₂ → step (L₁ ++ L₃) (L₂ ++ L₃)
| _ _ _ red.step.bnot := by simp
@[to_additive]
lemma not_step_nil : ¬ step [] L :=
begin
generalize h' : [] = L',
assume h,
cases h with L₁ L₂,
simp [list.nil_eq_append_iff] at h',
contradiction
end
@[to_additive]
lemma step.cons_left_iff {a : α} {b : bool} :
step ((a, b) :: L₁) L₂ ↔ (∃L, step L₁ L ∧ L₂ = (a, b) :: L) ∨ (L₁ = (a, bnot b)::L₂) :=
begin
split,
{ generalize hL : ((a, b) :: L₁ : list _) = L,
rintro @⟨_ | ⟨p, s'⟩, e, a', b'⟩,
{ simp at hL, simp [*] },
{ simp at hL,
rcases hL with ⟨rfl, rfl⟩,
refine or.inl ⟨s' ++ e, step.bnot, _⟩,
simp } },
{ rintro (⟨L, h, rfl⟩ | rfl),
{ exact step.cons h },
{ exact step.cons_bnot } }
end
@[to_additive]
lemma not_step_singleton : ∀ {p : α × bool}, ¬ step [p] L
| (a, b) := by simp [step.cons_left_iff, not_step_nil]
@[to_additive]
lemma step.cons_cons_iff : ∀{p : α × bool}, step (p :: L₁) (p :: L₂) ↔ step L₁ L₂ :=
by simp [step.cons_left_iff, iff_def, or_imp_distrib] {contextual := tt}
@[to_additive]
lemma step.append_left_iff : ∀L, step (L ++ L₁) (L ++ L₂) ↔ step L₁ L₂
| [] := by simp
| (p :: l) := by simp [step.append_left_iff l, step.cons_cons_iff]
@[to_additive]
theorem step.diamond_aux : ∀ {L₁ L₂ L₃ L₄ : list (α × bool)} {x1 b1 x2 b2},
L₁ ++ (x1, b1) :: (x1, bnot b1) :: L₂ = L₃ ++ (x2, b2) :: (x2, bnot b2) :: L₄ →
L₁ ++ L₂ = L₃ ++ L₄ ∨ ∃ L₅, red.step (L₁ ++ L₂) L₅ ∧ red.step (L₃ ++ L₄) L₅
| [] _ [] _ _ _ _ _ H := by injections; subst_vars; simp
| [] _ [(x3,b3)] _ _ _ _ _ H := by injections; subst_vars; simp
| [(x3,b3)] _ [] _ _ _ _ _ H := by injections; subst_vars; simp
| [] _ ((x3,b3)::(x4,b4)::tl) _ _ _ _ _ H :=
by injections; subst_vars; simp; right; exact ⟨_, red.step.bnot, red.step.cons_bnot⟩
| ((x3,b3)::(x4,b4)::tl) _ [] _ _ _ _ _ H :=
by injections; subst_vars; simp; right; exact ⟨_, red.step.cons_bnot, red.step.bnot⟩
| ((x3,b3)::tl) _ ((x4,b4)::tl2) _ _ _ _ _ H :=
let ⟨H1, H2⟩ := list.cons.inj H in
match step.diamond_aux H2 with
| or.inl H3 := or.inl $ by simp [H1, H3]
| or.inr ⟨L₅, H3, H4⟩ := or.inr
⟨_, step.cons H3, by simpa [H1] using step.cons H4⟩
end
@[to_additive]
theorem step.diamond : ∀ {L₁ L₂ L₃ L₄ : list (α × bool)},
red.step L₁ L₃ → red.step L₂ L₄ → L₁ = L₂ →
L₃ = L₄ ∨ ∃ L₅, red.step L₃ L₅ ∧ red.step L₄ L₅
| _ _ _ _ red.step.bnot red.step.bnot H := step.diamond_aux H
@[to_additive]
lemma step.to_red : step L₁ L₂ → red L₁ L₂ :=
refl_trans_gen.single
/-- **Church-Rosser theorem** for word reduction: If `w1 w2 w3` are words such that `w1` reduces
to `w2` and `w3` respectively, then there is a word `w4` such that `w2` and `w3` reduce to `w4`
respectively. This is also known as Newman's diamond lemma. -/
@[to_additive
"**Church-Rosser theorem** for word reduction: If `w1 w2 w3` are words such that `w1` reduces
to `w2` and `w3` respectively, then there is a word `w4` such that `w2` and `w3` reduce to `w4`
respectively. This is also known as Newman's diamond lemma."]
theorem church_rosser : red L₁ L₂ → red L₁ L₃ → join red L₂ L₃ :=
relation.church_rosser (assume a b c hab hac,
match b, c, red.step.diamond hab hac rfl with
| b, _, or.inl rfl := ⟨b, by refl, by refl⟩
| b, c, or.inr ⟨d, hbd, hcd⟩ := ⟨d, refl_gen.single hbd, hcd.to_red⟩
end)
@[to_additive]
lemma cons_cons {p} : red L₁ L₂ → red (p :: L₁) (p :: L₂) :=
refl_trans_gen.lift (list.cons p) (assume a b, step.cons)
@[to_additive]
lemma cons_cons_iff (p) : red (p :: L₁) (p :: L₂) ↔ red L₁ L₂ :=
iff.intro
begin
generalize eq₁ : (p :: L₁ : list _) = LL₁,
generalize eq₂ : (p :: L₂ : list _) = LL₂,
assume h,
induction h using relation.refl_trans_gen.head_induction_on
with L₁ L₂ h₁₂ h ih
generalizing L₁ L₂,
{ subst_vars, cases eq₂, constructor },
{ subst_vars,
cases p with a b,
rw [step.cons_left_iff] at h₁₂,
rcases h₁₂ with ⟨L, h₁₂, rfl⟩ | rfl,
{ exact (ih rfl rfl).head h₁₂ },
{ exact (cons_cons h).tail step.cons_bnot_rev } }
end
cons_cons
@[to_additive]
lemma append_append_left_iff : ∀L, red (L ++ L₁) (L ++ L₂) ↔ red L₁ L₂
| [] := iff.rfl
| (p :: L) := by simp [append_append_left_iff L, cons_cons_iff]
@[to_additive]
lemma append_append (h₁ : red L₁ L₃) (h₂ : red L₂ L₄) : red (L₁ ++ L₂) (L₃ ++ L₄) :=
(h₁.lift (λL, L ++ L₂) (assume a b, step.append_right)).trans ((append_append_left_iff _).2 h₂)
@[to_additive]
lemma to_append_iff : red L (L₁ ++ L₂) ↔ (∃L₃ L₄, L = L₃ ++ L₄ ∧ red L₃ L₁ ∧ red L₄ L₂) :=
iff.intro
begin
generalize eq : L₁ ++ L₂ = L₁₂,
assume h,
induction h with L' L₁₂ hLL' h ih generalizing L₁ L₂,
{ exact ⟨_, _, eq.symm, by refl, by refl⟩ },
{ cases h with s e a b,
rcases list.append_eq_append_iff.1 eq with ⟨s', rfl, rfl⟩ | ⟨e', rfl, rfl⟩,
{ have : L₁ ++ (s' ++ ((a, b) :: (a, bnot b) :: e)) =
(L₁ ++ s') ++ ((a, b) :: (a, bnot b) :: e),
{ simp },
rcases ih this with ⟨w₁, w₂, rfl, h₁, h₂⟩,
exact ⟨w₁, w₂, rfl, h₁, h₂.tail step.bnot⟩ },
{ have : (s ++ ((a, b) :: (a, bnot b) :: e')) ++ L₂ =
s ++ ((a, b) :: (a, bnot b) :: (e' ++ L₂)),
{ simp },
rcases ih this with ⟨w₁, w₂, rfl, h₁, h₂⟩,
exact ⟨w₁, w₂, rfl, h₁.tail step.bnot, h₂⟩ }, }
end
(assume ⟨L₃, L₄, eq, h₃, h₄⟩, eq.symm ▸ append_append h₃ h₄)
/-- The empty word `[]` only reduces to itself. -/
@[to_additive "The empty word `[]` only reduces to itself."]
theorem nil_iff : red [] L ↔ L = [] :=
refl_trans_gen_iff_eq (assume l, red.not_step_nil)
/-- A letter only reduces to itself. -/
@[to_additive "A letter only reduces to itself."]
theorem singleton_iff {x} : red [x] L₁ ↔ L₁ = [x] :=
refl_trans_gen_iff_eq (assume l, not_step_singleton)
/-- If `x` is a letter and `w` is a word such that `xw` reduces to the empty word, then `w` reduces
to `x⁻¹` -/
@[to_additive "If `x` is a letter and `w` is a word such that `x + w` reduces to the empty word,
then `w` reduces to `-x`."]
theorem cons_nil_iff_singleton {x b} : red ((x, b) :: L) [] ↔ red L [(x, bnot b)] :=
iff.intro
(assume h,
have h₁ : red ((x, bnot b) :: (x, b) :: L) [(x, bnot b)], from cons_cons h,
have h₂ : red ((x, bnot b) :: (x, b) :: L) L, from refl_trans_gen.single step.cons_bnot_rev,
let ⟨L', h₁, h₂⟩ := church_rosser h₁ h₂ in
by rw [singleton_iff] at h₁; subst L'; assumption)
(assume h, (cons_cons h).tail step.cons_bnot)
@[to_additive]
theorem red_iff_irreducible {x1 b1 x2 b2} (h : (x1, b1) ≠ (x2, b2)) :
red [(x1, bnot b1), (x2, b2)] L ↔ L = [(x1, bnot b1), (x2, b2)] :=
begin
apply refl_trans_gen_iff_eq,
generalize eq : [(x1, bnot b1), (x2, b2)] = L',
assume L h',
cases h',
simp [list.cons_eq_append_iff, list.nil_eq_append_iff] at eq,
rcases eq with ⟨rfl, ⟨rfl, rfl⟩, ⟨rfl, rfl⟩, rfl⟩, subst_vars,
simp at h,
contradiction
end
/-- If `x` and `y` are distinct letters and `w₁ w₂` are words such that `xw₁` reduces to `yw₂`, then
`w₁` reduces to `x⁻¹yw₂`. -/
@[to_additive
"If `x` and `y` are distinct letters and `w₁ w₂` are words such that `x + w₁` reduces to `y + w₂`,
then `w₁` reduces to `-x + y + w₂`."]
theorem inv_of_red_of_ne {x1 b1 x2 b2}
(H1 : (x1, b1) ≠ (x2, b2))
(H2 : red ((x1, b1) :: L₁) ((x2, b2) :: L₂)) :
red L₁ ((x1, bnot b1) :: (x2, b2) :: L₂) :=
begin
have : red ((x1, b1) :: L₁) ([(x2, b2)] ++ L₂), from H2,
rcases to_append_iff.1 this with ⟨_ | ⟨p, L₃⟩, L₄, eq, h₁, h₂⟩,
{ simp [nil_iff] at h₁, contradiction },
{ cases eq,
show red (L₃ ++ L₄) ([(x1, bnot b1), (x2, b2)] ++ L₂),
apply append_append _ h₂,
have h₁ : red ((x1, bnot b1) :: (x1, b1) :: L₃) [(x1, bnot b1), (x2, b2)],
{ exact cons_cons h₁ },
have h₂ : red ((x1, bnot b1) :: (x1, b1) :: L₃) L₃,
{ exact step.cons_bnot_rev.to_red },
rcases church_rosser h₁ h₂ with ⟨L', h₁, h₂⟩,
rw [red_iff_irreducible H1] at h₁,
rwa [h₁] at h₂ }
end
@[to_additive]
theorem step.sublist (H : red.step L₁ L₂) : L₂ <+ L₁ :=
by cases H; simp; constructor; constructor; refl
/-- If `w₁ w₂` are words such that `w₁` reduces to `w₂`, then `w₂` is a sublist of `w₁`. -/
@[to_additive "If `w₁ w₂` are words such that `w₁` reduces to `w₂`,
then `w₂` is a sublist of `w₁`."]
protected theorem sublist : red L₁ L₂ → L₂ <+ L₁ :=
refl_trans_gen_of_transitive_reflexive
(λl, list.sublist.refl l) (λa b c hab hbc, list.sublist.trans hbc hab) (λa b, red.step.sublist)
@[to_additive]
theorem length_le (h : red L₁ L₂) : L₂.length ≤ L₁.length := h.sublist.length_le
@[to_additive]
theorem sizeof_of_step : ∀ {L₁ L₂ : list (α × bool)}, step L₁ L₂ → L₂.sizeof < L₁.sizeof
| _ _ (@step.bnot _ L1 L2 x b) :=
begin
induction L1 with hd tl ih,
case list.nil
{ dsimp [list.sizeof],
have H : 1 + sizeof (x, b) + (1 + sizeof (x, bnot b) + list.sizeof L2)
= (list.sizeof L2 + 1) + (sizeof (x, b) + sizeof (x, bnot b) + 1),
{ ac_refl },
rw H,
exact nat.le_add_right _ _ },
case list.cons
{ dsimp [list.sizeof],
exact nat.add_lt_add_left ih _ }
end
@[to_additive]
theorem length (h : red L₁ L₂) : ∃ n, L₁.length = L₂.length + 2 * n :=
begin
induction h with L₂ L₃ h₁₂ h₂₃ ih,
{ exact ⟨0, rfl⟩ },
{ rcases ih with ⟨n, eq⟩,
existsi (1 + n),
simp [mul_add, eq, (step.length h₂₃).symm, add_assoc] }
end
@[to_additive]
theorem antisymm (h₁₂ : red L₁ L₂) (h₂₁ : red L₂ L₁) : L₁ = L₂ :=
h₂₁.sublist.antisymm h₁₂.sublist
end red
@[to_additive]
theorem equivalence_join_red : equivalence (join (@red α)) :=
equivalence_join_refl_trans_gen $ assume a b c hab hac,
(match b, c, red.step.diamond hab hac rfl with
| b, _, or.inl rfl := ⟨b, by refl, by refl⟩
| b, c, or.inr ⟨d, hbd, hcd⟩ := ⟨d, refl_gen.single hbd, refl_trans_gen.single hcd⟩
end)
@[to_additive]
theorem join_red_of_step (h : red.step L₁ L₂) : join red L₁ L₂ :=
join_of_single reflexive_refl_trans_gen h.to_red
@[to_additive]
theorem eqv_gen_step_iff_join_red : eqv_gen red.step L₁ L₂ ↔ join red L₁ L₂ :=
iff.intro
(assume h,
have eqv_gen (join red) L₁ L₂ := h.mono (assume a b, join_red_of_step),
equivalence_join_red.eqv_gen_iff.1 this)
(join_of_equivalence (eqv_gen.is_equivalence _) $ assume a b,
refl_trans_gen_of_equivalence (eqv_gen.is_equivalence _) eqv_gen.rel)
end free_group
/-- The free group over a type, i.e. the words formed by the elements of the type and their formal
inverses, quotient by one step reduction. -/
@[to_additive "The free additive group over a type, i.e. the words formed by the elements of the
type and their formal inverses, quotient by one step reduction."]
def free_group (α : Type u) : Type u :=
quot $ @free_group.red.step α
namespace free_group
variables {α} {L L₁ L₂ L₃ L₄ : list (α × bool)}
/-- The canonical map from `list (α × bool)` to the free group on `α`. -/
@[to_additive "The canonical map from `list (α × bool)` to the free additive group on `α`."]
def mk (L) : free_group α := quot.mk red.step L
@[simp, to_additive] lemma quot_mk_eq_mk : quot.mk red.step L = mk L := rfl
@[simp, to_additive] lemma quot_lift_mk (β : Type v) (f : list (α × bool) → β)
(H : ∀ L₁ L₂, red.step L₁ L₂ → f L₁ = f L₂) :
quot.lift f H (mk L) = f L := rfl
@[simp, to_additive] lemma quot_lift_on_mk (β : Type v) (f : list (α × bool) → β)
(H : ∀ L₁ L₂, red.step L₁ L₂ → f L₁ = f L₂) :
quot.lift_on (mk L) f H = f L := rfl
@[simp, to_additive] lemma quot_map_mk (β : Type v) (f : list (α × bool) → list (β × bool))
(H : (red.step ⇒ red.step) f f) :
quot.map f H (mk L) = mk (f L) := rfl
@[to_additive]
instance : has_one (free_group α) := ⟨mk []⟩
@[to_additive]
lemma one_eq_mk : (1 : free_group α) = mk [] := rfl
@[to_additive]
instance : inhabited (free_group α) := ⟨1⟩
@[to_additive]
instance : has_mul (free_group α) :=
⟨λ x y, quot.lift_on x
(λ L₁, quot.lift_on y (λ L₂, mk $ L₁ ++ L₂) (λ L₂ L₃ H, quot.sound $ red.step.append_left H))
(λ L₁ L₂ H, quot.induction_on y $ λ L₃, quot.sound $ red.step.append_right H)⟩
@[simp, to_additive] lemma mul_mk : mk L₁ * mk L₂ = mk (L₁ ++ L₂) := rfl
/-- Transform a word representing a free group element into a word representing its inverse. -/
@[to_additive "Transform a word representing a free group element into a word representing its
negative."]
def inv_rev (w : list (α × bool)) : list (α × bool) :=
(list.map (λ (g : α × bool), (g.1, bnot g.2)) w).reverse
@[simp, to_additive] lemma inv_rev_length : (inv_rev L₁).length = L₁.length := by simp [inv_rev]
@[simp, to_additive] lemma inv_rev_inv_rev : (inv_rev (inv_rev L₁) = L₁) := by simp [inv_rev, (∘)]
@[simp, to_additive] lemma inv_rev_empty : inv_rev ([] : list (α × bool)) = [] := rfl
@[to_additive]
lemma inv_rev_involutive : function.involutive (@inv_rev α) := λ _, inv_rev_inv_rev
@[to_additive]
lemma inv_rev_injective : function.injective (@inv_rev α) := inv_rev_involutive.injective
@[to_additive]
lemma inv_rev_surjective : function.surjective (@inv_rev α) := inv_rev_involutive.surjective
@[to_additive]
lemma inv_rev_bijective : function.bijective (@inv_rev α) := inv_rev_involutive.bijective
@[to_additive]
instance : has_inv (free_group α) :=
⟨quot.map inv_rev (by { intros a b h, cases h, simp [inv_rev], })⟩
@[simp, to_additive] lemma inv_mk : (mk L)⁻¹ = mk (inv_rev L) := rfl
@[to_additive]
lemma red.step.inv_rev {L₁ L₂ : list (α × bool)} (h : red.step L₁ L₂) :
red.step (inv_rev L₁) (inv_rev L₂) :=
begin
cases h with a b x y,
simp [inv_rev],
end
@[to_additive]
lemma red.inv_rev {L₁ L₂ : list (α × bool)} (h : red L₁ L₂) :
red (inv_rev L₁) (inv_rev L₂) :=
relation.refl_trans_gen.lift _ (λ a b, red.step.inv_rev) h
@[simp, to_additive]
lemma red.step_inv_rev_iff : red.step (inv_rev L₁) (inv_rev L₂) ↔ red.step L₁ L₂ :=
⟨λ h, by simpa only [inv_rev_inv_rev] using h.inv_rev, λ h, h.inv_rev⟩
@[simp, to_additive] lemma red_inv_rev_iff : red (inv_rev L₁) (inv_rev L₂) ↔ red L₁ L₂ :=
⟨λ h, by simpa only [inv_rev_inv_rev] using h.inv_rev, λ h, h.inv_rev⟩
@[to_additive]
instance : group (free_group α) :=
{ mul := (*),
one := 1,
inv := has_inv.inv,
mul_assoc := by rintros ⟨L₁⟩ ⟨L₂⟩ ⟨L₃⟩; simp,
one_mul := by rintros ⟨L⟩; refl,
mul_one := by rintros ⟨L⟩; simp [one_eq_mk],
mul_left_inv := by rintros ⟨L⟩; exact (list.rec_on L rfl $
λ ⟨x, b⟩ tl ih, eq.trans (quot.sound $ by simp [inv_rev, one_eq_mk]) ih) }
/-- `of` is the canonical injection from the type to the free group over that type by sending each
element to the equivalence class of the letter that is the element. -/
@[to_additive "`of` is the canonical injection from the type to the free group over that type
by sending each element to the equivalence class of the letter that is the element."]
def of (x : α) : free_group α :=
mk [(x, tt)]
@[to_additive]
theorem red.exact : mk L₁ = mk L₂ ↔ join red L₁ L₂ :=
calc (mk L₁ = mk L₂) ↔ eqv_gen red.step L₁ L₂ : iff.intro (quot.exact _) quot.eqv_gen_sound
... ↔ join red L₁ L₂ : eqv_gen_step_iff_join_red
/-- The canonical map from the type to the free group is an injection. -/
@[to_additive "The canonical map from the type to the additive free group is an injection."]
theorem of_injective : function.injective (@of α) :=
λ _ _ H, let ⟨L₁, hx, hy⟩ := red.exact.1 H in
by simp [red.singleton_iff] at hx hy; cc
section lift
variables {β : Type v} [group β] (f : α → β) {x y : free_group α}
/-- Given `f : α → β` with `β` a group, the canonical map `list (α × bool) → β` -/
@[to_additive "Given `f : α → β` with `β` an additive group, the canonical map
`list (α × bool) → β`"]
def lift.aux : list (α × bool) → β :=
λ L, list.prod $ L.map $ λ x, cond x.2 (f x.1) (f x.1)⁻¹
@[to_additive]
theorem red.step.lift {f : α → β} (H : red.step L₁ L₂) :
lift.aux f L₁ = lift.aux f L₂ :=
by cases H with _ _ _ b; cases b; simp [lift.aux]
/-- If `β` is a group, then any function from `α` to `β`
extends uniquely to a group homomorphism from
the free group over `α` to `β` -/
@[to_additive "If `β` is an additive group, then any function from `α` to `β`
extends uniquely to an additive group homomorphism from
the free additive group over `α` to `β`", simps symm_apply]
def lift : (α → β) ≃ (free_group α →* β) :=
{ to_fun := λ f,
monoid_hom.mk' (quot.lift (lift.aux f) $ λ L₁ L₂, red.step.lift) $ begin
rintros ⟨L₁⟩ ⟨L₂⟩, simp [lift.aux],
end,
inv_fun := λ g, g ∘ of,
left_inv := λ f, one_mul _,
right_inv := λ g, monoid_hom.ext $ begin
rintros ⟨L⟩,
apply list.rec_on L,
{ exact g.map_one.symm, },
{ rintros ⟨x, _ | _⟩ t (ih : _ = g (mk t)),
{ show _ = g ((of x)⁻¹ * mk t),
simpa [lift.aux] using ih },
{ show _ = g (of x * mk t),
simpa [lift.aux] using ih }, },
end }
variable {f}
@[simp, to_additive] lemma lift.mk : lift f (mk L) =
list.prod (L.map $ λ x, cond x.2 (f x.1) (f x.1)⁻¹) :=
rfl
@[simp, to_additive] lemma lift.of {x} : lift f (of x) = f x :=
one_mul _
@[to_additive]
theorem lift.unique (g : free_group α →* β)
(hg : ∀ x, g (of x) = f x) : ∀{x}, g x = lift f x :=
monoid_hom.congr_fun $ (lift.symm_apply_eq).mp (funext hg : g ∘ of = f)
/-- Two homomorphisms out of a free group are equal if they are equal on generators.
See note [partially-applied ext lemmas]. -/
@[ext, to_additive
"Two homomorphisms out of a free additive group are equal if they are equal on generators.
See note [partially-applied ext lemmas]."]
lemma ext_hom {G : Type*} [group G] (f g : free_group α →* G) (h : ∀ a, f (of a) = g (of a)) :
f = g :=
lift.symm.injective $ funext h
@[to_additive]
theorem lift.of_eq (x : free_group α) : lift of x = x :=
monoid_hom.congr_fun (lift.apply_symm_apply (monoid_hom.id _)) x
@[to_additive]
theorem lift.range_le {s : subgroup β} (H : set.range f ⊆ s) :
(lift f).range ≤ s :=
by rintros _ ⟨⟨L⟩, rfl⟩; exact list.rec_on L s.one_mem
(λ ⟨x, b⟩ tl ih, bool.rec_on b
(by simp at ih ⊢; from s.mul_mem
(s.inv_mem $ H ⟨x, rfl⟩) ih)
(by simp at ih ⊢; from s.mul_mem (H ⟨x, rfl⟩) ih))
@[to_additive]
theorem lift.range_eq_closure :
(lift f).range = subgroup.closure (set.range f) :=
begin
apply le_antisymm (lift.range_le subgroup.subset_closure),
rw subgroup.closure_le,
rintros _ ⟨a, rfl⟩,
exact ⟨of a, by simp only [lift.of]⟩,
end
end lift
section map
variables {β : Type v} (f : α → β) {x y : free_group α}
/-- Any function from `α` to `β` extends uniquely
to a group homomorphism from the free group
over `α` to the free group over `β`. -/
@[to_additive "Any function from `α` to `β` extends uniquely to an additive group homomorphism
from the additive free group over `α` to the additive free group over `β`."]
def map : free_group α →* free_group β :=
monoid_hom.mk'
(quot.map (list.map $ λ x, (f x.1, x.2)) $ λ L₁ L₂ H, by cases H; simp)
(by { rintros ⟨L₁⟩ ⟨L₂⟩, simp })
variable {f}
@[simp, to_additive] lemma map.mk : map f (mk L) = mk (L.map (λ x, (f x.1, x.2))) :=
rfl
@[simp, to_additive] lemma map.id (x : free_group α) : map id x = x :=
by rcases x with ⟨L⟩; simp [list.map_id']
@[simp, to_additive] lemma map.id' (x : free_group α) : map (λ z, z) x = x := map.id x
@[to_additive]
theorem map.comp {γ : Type w} (f : α → β) (g : β → γ) (x) :
map g (map f x) = map (g ∘ f) x :=
by rcases x with ⟨L⟩; simp
@[simp, to_additive] lemma map.of {x} : map f (of x) = of (f x) := rfl
@[to_additive]
theorem map.unique (g : free_group α →* free_group β)
(hg : ∀ x, g (of x) = of (f x)) : ∀{x}, g x = map f x :=
by rintros ⟨L⟩; exact list.rec_on L g.map_one
(λ ⟨x, b⟩ t (ih : g (mk t) = map f (mk t)), bool.rec_on b
(show g ((of x)⁻¹ * mk t) = map f ((of x)⁻¹ * mk t),
by simp [g.map_mul, g.map_inv, hg, ih])
(show g (of x * mk t) = map f (of x * mk t),
by simp [g.map_mul, hg, ih]))
@[to_additive]
theorem map_eq_lift : map f x = lift (of ∘ f) x :=
eq.symm $ map.unique _ $ λ x, by simp
/-- Equivalent types give rise to multiplicatively equivalent free groups.
The converse can be found in `group_theory.free_abelian_group_finsupp`,
as `equiv.of_free_group_equiv`
-/
@[to_additive "Equivalent types give rise to additively equivalent additive free groups.",
simps apply]
def free_group_congr {α β} (e : α ≃ β) : free_group α ≃* free_group β :=
{ to_fun := map e, inv_fun := map e.symm,
left_inv := λ x, by simp [function.comp, map.comp],
right_inv := λ x, by simp [function.comp, map.comp],
map_mul' := monoid_hom.map_mul _ }
@[simp, to_additive]
lemma free_group_congr_refl : free_group_congr (equiv.refl α) = mul_equiv.refl _ :=
mul_equiv.ext map.id
@[simp, to_additive] lemma free_group_congr_symm {α β} (e : α ≃ β) :
(free_group_congr e).symm = free_group_congr e.symm :=
rfl
@[to_additive]
lemma free_group_congr_trans {α β γ} (e : α ≃ β) (f : β ≃ γ) :
(free_group_congr e).trans (free_group_congr f) = free_group_congr (e.trans f) :=
mul_equiv.ext $ map.comp _ _
end map
section prod
variables [group α] (x y : free_group α)
/-- If `α` is a group, then any function from `α` to `α`
extends uniquely to a homomorphism from the
free group over `α` to `α`. This is the multiplicative
version of `free_group.sum`. -/
@[to_additive
"If `α` is an additive group, then any function from `α` to `α`
extends uniquely to an additive homomorphism from the
additive free group over `α` to `α`."]
def prod : free_group α →* α := lift id
variables {x y}
@[simp, to_additive] lemma prod_mk :
prod (mk L) = list.prod (L.map $ λ x, cond x.2 x.1 x.1⁻¹) :=
rfl
@[simp, to_additive] lemma prod.of {x : α} : prod (of x) = x :=
lift.of
@[to_additive]
lemma prod.unique (g : free_group α →* α)
(hg : ∀ x, g (of x) = x) {x} :
g x = prod x :=
lift.unique g hg
end prod
@[to_additive]
theorem lift_eq_prod_map {β : Type v} [group β] {f : α → β} {x} :
lift f x = prod (map f x) :=
begin
rw ←lift.unique (prod.comp (map f)),
{ refl },
{ simp }
end
section sum
variables [add_group α] (x y : free_group α)
/-- If `α` is a group, then any function from `α` to `α`
extends uniquely to a homomorphism from the
free group over `α` to `α`. This is the additive
version of `prod`. -/
def sum : α :=
@prod (multiplicative _) _ x
variables {x y}
@[simp] lemma sum_mk :
sum (mk L) = list.sum (L.map $ λ x, cond x.2 x.1 (-x.1)) :=
rfl
@[simp] lemma sum.of {x : α} : sum (of x) = x :=
prod.of
-- note: there are no bundled homs with different notation in the domain and codomain, so we copy
-- these manually
@[simp] lemma sum.map_mul : sum (x * y) = sum x + sum y :=
(@prod (multiplicative _) _).map_mul _ _
@[simp] lemma sum.map_one : sum (1:free_group α) = 0 :=
(@prod (multiplicative _) _).map_one
@[simp] lemma sum.map_inv : sum x⁻¹ = -sum x :=
(prod : free_group (multiplicative α) →* multiplicative α).map_inv _
end sum
/-- The bijection between the free group on the empty type, and a type with one element. -/
@[to_additive
"The bijection between the additive free group on the empty type, and a type with one element."]
def free_group_empty_equiv_unit : free_group empty ≃ unit :=
{ to_fun := λ _, (),
inv_fun := λ _, 1,
left_inv := by rintros ⟨_ | ⟨⟨⟨⟩, _⟩, _⟩⟩; refl,
right_inv := λ ⟨⟩, rfl }
/-- The bijection between the free group on a singleton, and the integers. -/
def free_group_unit_equiv_int : free_group unit ≃ ℤ :=
{ to_fun := λ x,
sum begin revert x, apply monoid_hom.to_fun,
apply map (λ _, (1 : ℤ)),
end,
inv_fun := λ x, of () ^ x,
left_inv :=
begin
rintros ⟨L⟩,
refine list.rec_on L rfl _,
exact (λ ⟨⟨⟩, b⟩ tl ih, by cases b; simp [zpow_add] at ih ⊢; rw ih; refl),
end,
right_inv :=
λ x, int.induction_on x (by simp)
(λ i ih, by simp at ih; simp [zpow_add, ih])
(λ i ih, by simp at ih; simp [zpow_add, ih, sub_eq_add_neg, -int.add_neg_one]) }
section category
variables {β : Type u}
@[to_additive]
instance : monad free_group.{u} :=
{ pure := λ α, of,
map := λ α β f, (map f),
bind := λ α β x f, lift f x }
@[elab_as_eliminator, to_additive]
protected theorem induction_on
{C : free_group α → Prop}
(z : free_group α)
(C1 : C 1)
(Cp : ∀ x, C $ pure x)
(Ci : ∀ x, C (pure x) → C (pure x)⁻¹)
(Cm : ∀ x y, C x → C y → C (x * y)) : C z :=
quot.induction_on z $ λ L, list.rec_on L C1 $ λ ⟨x, b⟩ tl ih,
bool.rec_on b (Cm _ _ (Ci _ $ Cp x) ih) (Cm _ _ (Cp x) ih)
@[simp, to_additive]
lemma map_pure (f : α → β) (x : α) : f <$> (pure x : free_group α) = pure (f x) := map.of
@[simp, to_additive] lemma map_one (f : α → β) : f <$> (1 : free_group α) = 1 :=
(map f).map_one
@[simp, to_additive]
lemma map_mul (f : α → β) (x y : free_group α) : f <$> (x * y) = f <$> x * f <$> y :=
(map f).map_mul x y
@[simp, to_additive] lemma map_inv (f : α → β) (x : free_group α) : f <$> (x⁻¹) = (f <$> x)⁻¹ :=
(map f).map_inv x
@[simp, to_additive] lemma pure_bind (f : α → free_group β) (x) : pure x >>= f = f x :=
lift.of
@[simp, to_additive] lemma one_bind (f : α → free_group β) : 1 >>= f = 1 :=
(lift f).map_one
@[simp, to_additive] lemma mul_bind (f : α → free_group β) (x y : free_group α) :
x * y >>= f = (x >>= f) * (y >>= f) :=
(lift f).map_mul _ _
@[simp, to_additive]
lemma inv_bind (f : α → free_group β) (x : free_group α) : x⁻¹ >>= f = (x >>= f)⁻¹ :=
(lift f).map_inv _
@[to_additive]
instance : is_lawful_monad free_group.{u} :=
{ id_map := λ α x, free_group.induction_on x (map_one id) (λ x, map_pure id x)
(λ x ih, by rw [map_inv, ih]) (λ x y ihx ihy, by rw [map_mul, ihx, ihy]),
pure_bind := λ α β x f, pure_bind f x,
bind_assoc := λ α β γ x f g, free_group.induction_on x
(by iterate 3 { rw one_bind }) (λ x, by iterate 2 { rw pure_bind })
(λ x ih, by iterate 3 { rw inv_bind }; rw ih)
(λ x y ihx ihy, by iterate 3 { rw mul_bind }; rw [ihx, ihy]),
bind_pure_comp_eq_map := λ α β f x, free_group.induction_on x
(by rw [one_bind, map_one]) (λ x, by rw [pure_bind, map_pure])
(λ x ih, by rw [inv_bind, map_inv, ih]) (λ x y ihx ihy, by rw [mul_bind, map_mul, ihx, ihy]) }
end category
section reduce
variable [decidable_eq α]
/-- The maximal reduction of a word. It is computable
iff `α` has decidable equality. -/
@[to_additive "The maximal reduction of a word. It is computable
iff `α` has decidable equality."]
def reduce (L : list (α × bool)) : list (α × bool) :=
list.rec_on L [] $ λ hd1 tl1 ih,
list.cases_on ih [hd1] $ λ hd2 tl2,
if hd1.1 = hd2.1 ∧ hd1.2 = bnot hd2.2 then tl2
else hd1 :: hd2 :: tl2
@[simp, to_additive] lemma reduce.cons (x) : reduce (x :: L) =
list.cases_on (reduce L) [x] (λ hd tl,
if x.1 = hd.1 ∧ x.2 = bnot hd.2 then tl
else x :: hd :: tl) := rfl
/-- The first theorem that characterises the function
`reduce`: a word reduces to its maximal reduction. -/
@[to_additive
"The first theorem that characterises the function
`reduce`: a word reduces to its maximal reduction."]
theorem reduce.red : red L (reduce L) :=
begin
induction L with hd1 tl1 ih,
case list.nil
{ constructor },
case list.cons
{ dsimp,
revert ih,
generalize htl : reduce tl1 = TL,
intro ih,
cases TL with hd2 tl2,
case list.nil
{ exact red.cons_cons ih },
case list.cons
{ dsimp only,
split_ifs with h,
{ transitivity,
{ exact red.cons_cons ih },
{ cases hd1, cases hd2, cases h,
dsimp at *, subst_vars,
exact red.step.cons_bnot_rev.to_red } },
{ exact red.cons_cons ih } } }
end
@[to_additive]
theorem reduce.not {p : Prop} :
∀ {L₁ L₂ L₃ : list (α × bool)} {x b}, reduce L₁ = L₂ ++ (x, b) :: (x, bnot b) :: L₃ → p
| [] L2 L3 _ _ := λ h, by cases L2; injections
| ((x,b)::L1) L2 L3 x' b' := begin
dsimp,
cases r : reduce L1,
{ dsimp, intro h,
have := congr_arg list.length h,
simp [-add_comm] at this,
exact absurd this dec_trivial },
cases hd with y c,
dsimp only,
split_ifs with h; intro H,
{ rw H at r,
exact @reduce.not L1 ((y,c)::L2) L3 x' b' r },
rcases L2 with _|⟨a, L2⟩,
{ injections, subst_vars,
simp at h, cc },
{ refine @reduce.not L1 L2 L3 x' b' _,
injection H with _ H,
rw [r, H], refl }
end
/-- The second theorem that characterises the
function `reduce`: the maximal reduction of a word
only reduces to itself. -/
@[to_additive "The second theorem that characterises the
function `reduce`: the maximal reduction of a word
only reduces to itself."]
theorem reduce.min (H : red (reduce L₁) L₂) : reduce L₁ = L₂ :=
begin
induction H with L1 L' L2 H1 H2 ih,
{ refl },
{ cases H1 with L4 L5 x b,
exact reduce.not H2 }
end
/-- `reduce` is idempotent, i.e. the maximal reduction
of the maximal reduction of a word is the maximal
reduction of the word. -/
@[simp, to_additive "`reduce` is idempotent, i.e. the maximal reduction
of the maximal reduction of a word is the maximal
reduction of the word."] theorem reduce.idem : reduce (reduce L) = reduce L :=
eq.symm $ reduce.min reduce.red
@[to_additive]
theorem reduce.step.eq (H : red.step L₁ L₂) : reduce L₁ = reduce L₂ :=
let ⟨L₃, HR13, HR23⟩ := red.church_rosser reduce.red (reduce.red.head H) in
(reduce.min HR13).trans (reduce.min HR23).symm
/-- If a word reduces to another word, then they have
a common maximal reduction. -/
@[to_additive "If a word reduces to another word, then they have
a common maximal reduction."]
theorem reduce.eq_of_red (H : red L₁ L₂) : reduce L₁ = reduce L₂ :=
let ⟨L₃, HR13, HR23⟩ := red.church_rosser reduce.red (red.trans H reduce.red) in
(reduce.min HR13).trans (reduce.min HR23).symm
alias reduce.eq_of_red ← red.reduce_eq
alias free_add_group.reduce.eq_of_red ← free_add_group.red.reduce_eq
@[to_additive]
lemma red.reduce_right (h : red L₁ L₂) : red L₁ (reduce L₂) :=
reduce.eq_of_red h ▸ reduce.red
@[to_additive]
lemma red.reduce_left (h : red L₁ L₂) : red L₂ (reduce L₁) :=
(reduce.eq_of_red h).symm ▸ reduce.red
/-- If two words correspond to the same element in
the free group, then they have a common maximal
reduction. This is the proof that the function that
sends an element of the free group to its maximal
reduction is well-defined. -/
@[to_additive
"If two words correspond to the same element in
the additive free group, then they have a common maximal
reduction. This is the proof that the function that
sends an element of the free group to its maximal
reduction is well-defined."]
theorem reduce.sound (H : mk L₁ = mk L₂) : reduce L₁ = reduce L₂ :=
let ⟨L₃, H13, H23⟩ := red.exact.1 H in
(reduce.eq_of_red H13).trans (reduce.eq_of_red H23).symm
/-- If two words have a common maximal reduction,
then they correspond to the same element in the free group. -/
@[to_additive "If two words have a common maximal reduction,
then they correspond to the same element in the additive free group."]
theorem reduce.exact (H : reduce L₁ = reduce L₂) : mk L₁ = mk L₂ :=
red.exact.2 ⟨reduce L₂, H ▸ reduce.red, reduce.red⟩
/-- A word and its maximal reduction correspond to
the same element of the free group. -/
@[to_additive "A word and its maximal reduction correspond to
the same element of the additive free group."]
theorem reduce.self : mk (reduce L) = mk L :=
reduce.exact reduce.idem
/-- If words `w₁ w₂` are such that `w₁` reduces to `w₂`,
then `w₂` reduces to the maximal reduction of `w₁`. -/
@[to_additive "If words `w₁ w₂` are such that `w₁` reduces to `w₂`,
then `w₂` reduces to the maximal reduction of `w₁`."]
theorem reduce.rev (H : red L₁ L₂) : red L₂ (reduce L₁) :=
(reduce.eq_of_red H).symm ▸ reduce.red
/-- The function that sends an element of the free
group to its maximal reduction. -/
@[to_additive "The function that sends an element of the additive free
group to its maximal reduction."]
def to_word : free_group α → list (α × bool) :=
quot.lift reduce $ λ L₁ L₂ H, reduce.step.eq H
@[to_additive]
lemma mk_to_word : ∀{x : free_group α}, mk (to_word x) = x :=
by rintros ⟨L⟩; exact reduce.self
@[to_additive]
lemma to_word_injective : function.injective (to_word : free_group α → list (α × bool)) :=
by rintros ⟨L₁⟩ ⟨L₂⟩; exact reduce.exact
@[simp, to_additive] lemma to_word_inj {x y : free_group α} : to_word x = to_word y ↔ x = y :=
to_word_injective.eq_iff
@[simp, to_additive] lemma to_word_mk : (mk L₁).to_word = reduce L₁ := rfl
@[simp, to_additive] lemma reduce_to_word : ∀ (x : free_group α), reduce (to_word x) = to_word x :=
by { rintro ⟨L⟩, exact reduce.idem }
@[simp, to_additive] lemma to_word_one : (1 : free_group α).to_word = [] := rfl
@[simp, to_additive] lemma to_word_eq_nil_iff {x : free_group α} : (x.to_word = []) ↔ (x = 1) :=
to_word_injective.eq_iff' to_word_one
@[to_additive]
lemma reduce_inv_rev {w : list (α × bool)} : reduce (inv_rev w) = inv_rev (reduce w) :=
begin
apply reduce.min,
rw [← red_inv_rev_iff, inv_rev_inv_rev],
apply red.reduce_left,
have : red (inv_rev (inv_rev w)) (inv_rev (reduce (inv_rev w))) := reduce.red.inv_rev,
rwa inv_rev_inv_rev at this
end
@[to_additive]
lemma to_word_inv {x : free_group α} : (x⁻¹).to_word = inv_rev x.to_word :=
begin
rcases x with ⟨L⟩,
rw [quot_mk_eq_mk, inv_mk, to_word_mk, to_word_mk, reduce_inv_rev]
end
/-- Constructive Church-Rosser theorem (compare `church_rosser`). -/
@[to_additive "Constructive Church-Rosser theorem (compare `church_rosser`)."]
def reduce.church_rosser (H12 : red L₁ L₂) (H13 : red L₁ L₃) :
{ L₄ // red L₂ L₄ ∧ red L₃ L₄ } :=
⟨reduce L₁, reduce.rev H12, reduce.rev H13⟩
@[to_additive]
instance : decidable_eq (free_group α) :=
to_word_injective.decidable_eq
-- TODO @[to_additive] doesn't succeed, possibly due to a bug
instance red.decidable_rel : decidable_rel (@red α)
| [] [] := is_true red.refl
| [] (hd2::tl2) := is_false $ λ H, list.no_confusion (red.nil_iff.1 H)
| ((x,b)::tl) [] := match red.decidable_rel tl [(x, bnot b)] with
| is_true H := is_true $ red.trans (red.cons_cons H) $
(@red.step.bnot _ [] [] _ _).to_red
| is_false H := is_false $ λ H2, H $ red.cons_nil_iff_singleton.1 H2
end
| ((x1,b1)::tl1) ((x2,b2)::tl2) := if h : (x1, b1) = (x2, b2)
then match red.decidable_rel tl1 tl2 with
| is_true H := is_true $ h ▸ red.cons_cons H
| is_false H := is_false $ λ H2, H $ h ▸ (red.cons_cons_iff _).1 $ H2
end
else match red.decidable_rel tl1 ((x1,bnot b1)::(x2,b2)::tl2) with
| is_true H := is_true $ (red.cons_cons H).tail red.step.cons_bnot
| is_false H := is_false $ λ H2, H $ red.inv_of_red_of_ne h H2
end
/-- A list containing every word that `w₁` reduces to. -/
def red.enum (L₁ : list (α × bool)) : list (list (α × bool)) :=
list.filter (λ L₂, red L₁ L₂) (list.sublists L₁)
theorem red.enum.sound (H : L₂ ∈ red.enum L₁) : red L₁ L₂ :=
list.of_mem_filter H
theorem red.enum.complete (H : red L₁ L₂) : L₂ ∈ red.enum L₁ :=
list.mem_filter_of_mem (list.mem_sublists.2 $ red.sublist H) H
instance : fintype { L₂ // red L₁ L₂ } :=
fintype.subtype (list.to_finset $ red.enum L₁) $
λ L₂, ⟨λ H, red.enum.sound $ list.mem_to_finset.1 H,
λ H, list.mem_to_finset.2 $ red.enum.complete H⟩
end reduce
section metric
variable [decidable_eq α]
/-- The length of reduced words provides a norm on a free group. -/
@[to_additive "The length of reduced words provides a norm on an additive free group."]
def norm (x : free_group α) : ℕ := x.to_word.length
@[simp, to_additive] lemma norm_inv_eq {x : free_group α} : norm x⁻¹ = norm x :=
by simp only [norm, to_word_inv, inv_rev_length]
@[simp, to_additive] lemma norm_eq_zero {x : free_group α} : norm x = 0 ↔ x = 1 :=
by simp only [norm, list.length_eq_zero, to_word_eq_nil_iff]
@[simp, to_additive] lemma norm_one : norm (1 : free_group α) = 0 := rfl
@[to_additive]
theorem norm_mk_le : norm (mk L₁) ≤ L₁.length := reduce.red.length_le
@[to_additive]
lemma norm_mul_le (x y : free_group α) : norm (x * y) ≤ norm x + norm y :=
calc norm (x * y) = norm (mk (x.to_word ++ y.to_word)) : by rw [← mul_mk, mk_to_word, mk_to_word]
... ≤ (x.to_word ++ y.to_word).length : norm_mk_le
... = norm x + norm y : list.length_append _ _
end metric
end free_group
|
14e927b477290fa263918d4e3043c0e092ca1728 | 9dd3f3912f7321eb58ee9aa8f21778ad6221f87c | /tests/lean/1299.lean | 08cfbff87398be39ad3bdab47df44ec9a9b5abf2 | [
"Apache-2.0"
] | permissive | bre7k30/lean | de893411bcfa7b3c5572e61b9e1c52951b310aa4 | 5a924699d076dab1bd5af23a8f910b433e598d7a | refs/heads/master | 1,610,900,145,817 | 1,488,006,845,000 | 1,488,006,845,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 368 | lean | open tactic expr
def d1 : true = true := by do
trace (("a", "a")),
prt ← to_expr `(true = true),
add_decl (declaration.ax `new_ax [] prt),
l ← to_expr `(new_ax),
apply l
check d1
print d1
theorem d2 : true = true := by do
trace (("a", "a")),
prt ← to_expr `(true = true),
add_decl (declaration.ax `new_ax2 [] prt),
l ← to_expr `(new_ax2),
apply l
print d2
|
b0a2a6ced6ef88634c9cd9c45b2abb604e358a11 | e9dbaaae490bc072444e3021634bf73664003760 | /src/Problems/2012/IMO_2012_P1.lean | 94eb33005b74ea326052298377bd1167b373c81c | [
"Apache-2.0"
] | permissive | liaofei1128/geometry | 566d8bfe095ce0c0113d36df90635306c60e975b | 3dd128e4eec8008764bb94e18b932f9ffd66e6b3 | refs/heads/master | 1,678,996,510,399 | 1,581,454,543,000 | 1,583,337,839,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 613 | lean | import Geo.Geo.Core
namespace Geo
open Triangle
def IMO_2012_P1 : Prop :=
∀ (A B C : Point),
let J := (excircles ⟨A, B, C⟩).A.origin;
∀ (K L M : Point),
tangentAt (excircles ⟨A, B, C⟩).A (Seg.mk B C) M → -- note how this is still a Seg
tangentAt (excircles ⟨A, B, C⟩).A (Line.mk A B) K →
tangentAt (excircles ⟨A, B, C⟩).A (Line.mk A C) L →
∀ (F G S T : Point),
intersectAt (Line.mk L M) (Line.mk B J) F →
intersectAt (Line.mk K M) (Line.mk C J) G →
intersectAt (Line.mk A F) (Line.mk B C) S →
intersectAt (Line.mk A G) (Line.mk B C) T →
Seg.isMidpoint M ⟨S, T⟩
end Geo
|
47af0dd440f613030ef2144a82f763500d003838 | 8cae430f0a71442d02dbb1cbb14073b31048e4b0 | /src/data/nat/totient.lean | bd601d3273d33979668dc2fcab84ee94d7bf8eab | [
"Apache-2.0"
] | permissive | leanprover-community/mathlib | 56a2cadd17ac88caf4ece0a775932fa26327ba0e | 442a83d738cb208d3600056c489be16900ba701d | refs/heads/master | 1,693,584,102,358 | 1,693,471,902,000 | 1,693,471,902,000 | 97,922,418 | 1,595 | 352 | Apache-2.0 | 1,694,693,445,000 | 1,500,624,130,000 | Lean | UTF-8 | Lean | false | false | 15,420 | lean | /-
Copyright (c) 2018 Chris Hughes. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Chris Hughes
-/
import algebra.char_p.two
import data.nat.factorization.basic
import data.nat.periodic
import data.zmod.basic
/-!
# Euler's totient function
> THIS FILE IS SYNCHRONIZED WITH MATHLIB4.
> Any changes to this file require a corresponding PR to mathlib4.
This file defines [Euler's totient function](https://en.wikipedia.org/wiki/Euler's_totient_function)
`nat.totient n` which counts the number of naturals less than `n` that are coprime with `n`.
We prove the divisor sum formula, namely that `n` equals `φ` summed over the divisors of `n`. See
`sum_totient`. We also prove two lemmas to help compute totients, namely `totient_mul` and
`totient_prime_pow`.
-/
open finset
open_locale big_operators
namespace nat
/-- Euler's totient function. This counts the number of naturals strictly less than `n` which are
coprime with `n`. -/
def totient (n : ℕ) : ℕ := ((range n).filter n.coprime).card
localized "notation (name := nat.totient) `φ` := nat.totient" in nat
@[simp] theorem totient_zero : φ 0 = 0 := rfl
@[simp] theorem totient_one : φ 1 = 1 :=
by simp [totient]
lemma totient_eq_card_coprime (n : ℕ) : φ n = ((range n).filter n.coprime).card := rfl
/-- A characterisation of `nat.totient` that avoids `finset`. -/
lemma totient_eq_card_lt_and_coprime (n : ℕ) : φ n = nat.card {m | m < n ∧ n.coprime m} :=
begin
let e : {m | m < n ∧ n.coprime m} ≃ finset.filter n.coprime (finset.range n) :=
{ to_fun := λ m, ⟨m, by simpa only [finset.mem_filter, finset.mem_range] using m.property⟩,
inv_fun := λ m, ⟨m, by simpa only [finset.mem_filter, finset.mem_range] using m.property⟩,
left_inv := λ m, by simp only [subtype.coe_mk, subtype.coe_eta],
right_inv := λ m, by simp only [subtype.coe_mk, subtype.coe_eta] },
rw [totient_eq_card_coprime, card_congr e, card_eq_fintype_card, fintype.card_coe],
end
lemma totient_le (n : ℕ) : φ n ≤ n :=
((range n).card_filter_le _).trans_eq (card_range n)
lemma totient_lt (n : ℕ) (hn : 1 < n) : φ n < n :=
(card_lt_card (filter_ssubset.2 ⟨0, by simp [hn.ne', pos_of_gt hn]⟩)).trans_eq (card_range n)
lemma totient_pos : ∀ {n : ℕ}, 0 < n → 0 < φ n
| 0 := dec_trivial
| 1 := by simp [totient]
| (n+2) := λ h, card_pos.2 ⟨1, mem_filter.2 ⟨mem_range.2 dec_trivial, coprime_one_right _⟩⟩
lemma filter_coprime_Ico_eq_totient (a n : ℕ) :
((Ico n (n+a)).filter (coprime a)).card = totient a :=
begin
rw [totient, filter_Ico_card_eq_of_periodic, count_eq_card_filter_range],
exact periodic_coprime a,
end
lemma Ico_filter_coprime_le {a : ℕ} (k n : ℕ) (a_pos : 0 < a) :
((Ico k (k + n)).filter (coprime a)).card ≤ totient a * (n / a + 1) :=
begin
conv_lhs { rw ←nat.mod_add_div n a },
induction n / a with i ih,
{ rw ←filter_coprime_Ico_eq_totient a k,
simp only [add_zero, mul_one, mul_zero, le_of_lt (mod_lt n a_pos)],
mono,
refine monotone_filter_left a.coprime _,
simp only [finset.le_eq_subset],
exact Ico_subset_Ico rfl.le (add_le_add_left (le_of_lt (mod_lt n a_pos)) k), },
simp only [mul_succ],
simp_rw ←add_assoc at ih ⊢,
calc (filter a.coprime (Ico k (k + n % a + a * i + a))).card
= (filter a.coprime (Ico k (k + n % a + a * i)
∪ Ico (k + n % a + a * i) (k + n % a + a * i + a))).card :
begin
congr,
rw Ico_union_Ico_eq_Ico,
rw add_assoc,
exact le_self_add,
exact le_self_add,
end
... ≤ (filter a.coprime (Ico k (k + n % a + a * i))).card + a.totient :
begin
rw [filter_union, ←filter_coprime_Ico_eq_totient a (k + n % a + a * i)],
apply card_union_le,
end
... ≤ a.totient * i + a.totient + a.totient : add_le_add_right ih (totient a),
end
open zmod
/-- Note this takes an explicit `fintype ((zmod n)ˣ)` argument to avoid trouble with instance
diamonds. -/
@[simp] lemma _root_.zmod.card_units_eq_totient (n : ℕ) [ne_zero n] [fintype ((zmod n)ˣ)] :
fintype.card ((zmod n)ˣ) = φ n :=
calc fintype.card ((zmod n)ˣ) = fintype.card {x : zmod n // x.val.coprime n} :
fintype.card_congr zmod.units_equiv_coprime
... = φ n :
begin
unfreezingI { obtain ⟨m, rfl⟩ : ∃ m, n = m + 1 := exists_eq_succ_of_ne_zero ne_zero.out },
simp only [totient, finset.card_eq_sum_ones, fintype.card_subtype, finset.sum_filter,
← fin.sum_univ_eq_sum_range, @nat.coprime_comm (m + 1)],
refl
end
lemma totient_even {n : ℕ} (hn : 2 < n) : even n.totient :=
begin
haveI : fact (1 < n) := ⟨one_lt_two.trans hn⟩,
haveI : ne_zero n := ne_zero.of_gt hn,
suffices : 2 = order_of (-1 : (zmod n)ˣ),
{ rw [← zmod.card_units_eq_totient, even_iff_two_dvd, this], exact order_of_dvd_card_univ },
rw [←order_of_units, units.coe_neg_one, order_of_neg_one, ring_char.eq (zmod n) n, if_neg hn.ne'],
end
lemma totient_mul {m n : ℕ} (h : m.coprime n) : φ (m * n) = φ m * φ n :=
if hmn0 : m * n = 0
then by cases nat.mul_eq_zero.1 hmn0 with h h;
simp only [totient_zero, mul_zero, zero_mul, h]
else
begin
haveI : ne_zero (m * n) := ⟨hmn0⟩,
haveI : ne_zero m := ⟨left_ne_zero_of_mul hmn0⟩,
haveI : ne_zero n := ⟨right_ne_zero_of_mul hmn0⟩,
simp only [← zmod.card_units_eq_totient],
rw [fintype.card_congr (units.map_equiv (zmod.chinese_remainder h).to_mul_equiv).to_equiv,
fintype.card_congr (@mul_equiv.prod_units (zmod m) (zmod n) _ _).to_equiv,
fintype.card_prod]
end
/-- For `d ∣ n`, the totient of `n/d` equals the number of values `k < n` such that `gcd n k = d` -/
lemma totient_div_of_dvd {n d : ℕ} (hnd : d ∣ n) :
φ (n/d) = (filter (λ (k : ℕ), n.gcd k = d) (range n)).card :=
begin
rcases d.eq_zero_or_pos with rfl | hd0, { simp [eq_zero_of_zero_dvd hnd] },
rcases hnd with ⟨x, rfl⟩,
rw nat.mul_div_cancel_left x hd0,
apply finset.card_congr (λ k _, d * k),
{ simp only [mem_filter, mem_range, and_imp, coprime],
refine λ a ha1 ha2, ⟨(mul_lt_mul_left hd0).2 ha1, _⟩,
rw [gcd_mul_left, ha2, mul_one] },
{ simp [hd0.ne'] },
{ simp only [mem_filter, mem_range, exists_prop, and_imp],
refine λ b hb1 hb2, _,
have : d ∣ b, { rw ←hb2, apply gcd_dvd_right },
rcases this with ⟨q, rfl⟩,
refine ⟨q, ⟨⟨(mul_lt_mul_left hd0).1 hb1, _⟩, rfl⟩⟩,
rwa [gcd_mul_left, mul_right_eq_self_iff hd0] at hb2 },
end
lemma sum_totient (n : ℕ) : n.divisors.sum φ = n :=
begin
rcases n.eq_zero_or_pos with rfl | hn, { simp },
rw ←sum_div_divisors n φ,
have : n = ∑ (d : ℕ) in n.divisors, (filter (λ (k : ℕ), n.gcd k = d) (range n)).card,
{ nth_rewrite_lhs 0 ←card_range n,
refine card_eq_sum_card_fiberwise (λ x hx, mem_divisors.2 ⟨_, hn.ne'⟩),
apply gcd_dvd_left },
nth_rewrite_rhs 0 this,
exact sum_congr rfl (λ x hx, totient_div_of_dvd (dvd_of_mem_divisors hx)),
end
lemma sum_totient' (n : ℕ) : ∑ m in (range n.succ).filter (∣ n), φ m = n :=
begin
convert sum_totient _ using 1,
simp only [nat.divisors, sum_filter, range_eq_Ico],
rw sum_eq_sum_Ico_succ_bot; simp
end
/-- When `p` is prime, then the totient of `p ^ (n + 1)` is `p ^ n * (p - 1)` -/
lemma totient_prime_pow_succ {p : ℕ} (hp : p.prime) (n : ℕ) :
φ (p ^ (n + 1)) = p ^ n * (p - 1) :=
calc φ (p ^ (n + 1))
= ((range (p ^ (n + 1))).filter (coprime (p ^ (n + 1)))).card :
totient_eq_card_coprime _
... = (range (p ^ (n + 1)) \ ((range (p ^ n)).image (* p))).card :
congr_arg card begin
rw [sdiff_eq_filter],
apply filter_congr,
simp only [mem_range, mem_filter, coprime_pow_left_iff n.succ_pos,
mem_image, not_exists, hp.coprime_iff_not_dvd],
intros a ha,
split,
{ rintros hap b _ rfl,
exact hap (dvd_mul_left _ _) },
{ rintros h ⟨b, rfl⟩,
rw [pow_succ] at ha,
exact h b (lt_of_mul_lt_mul_left ha (zero_le _)) (mul_comm _ _) }
end
... = _ :
have h1 : function.injective (* p),
from mul_left_injective₀ hp.ne_zero,
have h2 : (range (p ^ n)).image (* p) ⊆ range (p ^ (n + 1)),
from λ a, begin
simp only [mem_image, mem_range, exists_imp_distrib],
rintros b h rfl,
rw [pow_succ'],
exact (mul_lt_mul_right hp.pos).2 h
end,
begin
rw [card_sdiff h2, card_image_of_inj_on (h1.inj_on _), card_range,
card_range, ← one_mul (p ^ n), pow_succ, ← tsub_mul,
one_mul, mul_comm]
end
/-- When `p` is prime, then the totient of `p ^ n` is `p ^ (n - 1) * (p - 1)` -/
lemma totient_prime_pow {p : ℕ} (hp : p.prime) {n : ℕ} (hn : 0 < n) :
φ (p ^ n) = p ^ (n - 1) * (p - 1) :=
by rcases exists_eq_succ_of_ne_zero (pos_iff_ne_zero.1 hn) with ⟨m, rfl⟩;
exact totient_prime_pow_succ hp _
lemma totient_prime {p : ℕ} (hp : p.prime) : φ p = p - 1 :=
by rw [← pow_one p, totient_prime_pow hp]; simp
lemma totient_eq_iff_prime {p : ℕ} (hp : 0 < p) : p.totient = p - 1 ↔ p.prime :=
begin
refine ⟨λ h, _, totient_prime⟩,
replace hp : 1 < p,
{ apply lt_of_le_of_ne,
{ rwa succ_le_iff },
{ rintro rfl,
rw [totient_one, tsub_self] at h,
exact one_ne_zero h } },
rw [totient_eq_card_coprime, range_eq_Ico, ←Ico_insert_succ_left hp.le, finset.filter_insert,
if_neg (not_coprime_of_dvd_of_dvd hp (dvd_refl p) (dvd_zero p)), ←nat.card_Ico 1 p] at h,
refine p.prime_of_coprime hp (λ n hn hnz, finset.filter_card_eq h n $ finset.mem_Ico.mpr ⟨_, hn⟩),
rwa [succ_le_iff, pos_iff_ne_zero],
end
lemma card_units_zmod_lt_sub_one {p : ℕ} (hp : 1 < p) [fintype ((zmod p)ˣ)] :
fintype.card ((zmod p)ˣ) ≤ p - 1 :=
begin
haveI : ne_zero p := ⟨(pos_of_gt hp).ne'⟩,
rw zmod.card_units_eq_totient p,
exact nat.le_pred_of_lt (nat.totient_lt p hp),
end
lemma prime_iff_card_units (p : ℕ) [fintype ((zmod p)ˣ)] :
p.prime ↔ fintype.card ((zmod p)ˣ) = p - 1 :=
begin
casesI eq_zero_or_ne_zero p with hp hp,
{ substI hp,
simp only [zmod, not_prime_zero, false_iff, zero_tsub],
-- the substI created an non-defeq but subsingleton instance diamond; resolve it
suffices : fintype.card ℤˣ ≠ 0, { convert this },
simp },
rw [zmod.card_units_eq_totient, nat.totient_eq_iff_prime $ ne_zero.pos p],
end
@[simp] lemma totient_two : φ 2 = 1 :=
(totient_prime prime_two).trans rfl
lemma totient_eq_one_iff : ∀ {n : ℕ}, n.totient = 1 ↔ n = 1 ∨ n = 2
| 0 := by simp
| 1 := by simp
| 2 := by simp
| (n+3) :=
begin
have : 3 ≤ n + 3 := le_add_self,
simp only [succ_succ_ne_one, false_or],
exact ⟨λ h, not_even_one.elim $ h ▸ totient_even this, by rintro ⟨⟩⟩,
end
/-! ### Euler's product formula for the totient function
We prove several different statements of this formula. -/
/-- Euler's product formula for the totient function. -/
theorem totient_eq_prod_factorization {n : ℕ} (hn : n ≠ 0) :
φ n = n.factorization.prod (λ p k, p ^ (k - 1) * (p - 1)) :=
begin
rw multiplicative_factorization φ @totient_mul totient_one hn,
apply finsupp.prod_congr (λ p hp, _),
have h := zero_lt_iff.mpr (finsupp.mem_support_iff.mp hp),
rw [totient_prime_pow (prime_of_mem_factorization hp) h],
end
/-- Euler's product formula for the totient function. -/
theorem totient_mul_prod_factors (n : ℕ) :
φ n * ∏ p in n.factors.to_finset, p = n * ∏ p in n.factors.to_finset, (p - 1) :=
begin
by_cases hn : n = 0, { simp [hn] },
rw totient_eq_prod_factorization hn,
nth_rewrite 2 ←factorization_prod_pow_eq_self hn,
simp only [←prod_factorization_eq_prod_factors, ←finsupp.prod_mul],
refine finsupp.prod_congr (λ p hp, _),
rw [finsupp.mem_support_iff, ← zero_lt_iff] at hp,
rw [mul_comm, ←mul_assoc, ←pow_succ, nat.sub_add_cancel hp],
end
/-- Euler's product formula for the totient function. -/
theorem totient_eq_div_factors_mul (n : ℕ) :
φ n = n / (∏ p in n.factors.to_finset, p) * (∏ p in n.factors.to_finset, (p - 1)) :=
begin
rw [← mul_div_left n.totient, totient_mul_prod_factors, mul_comm,
nat.mul_div_assoc _ (prod_prime_factors_dvd n), mul_comm],
simpa [prod_factorization_eq_prod_factors] using prod_pos (λ p, pos_of_mem_factorization),
end
/-- Euler's product formula for the totient function. -/
theorem totient_eq_mul_prod_factors (n : ℕ) :
(φ n : ℚ) = n * ∏ p in n.factors.to_finset, (1 - p⁻¹) :=
begin
by_cases hn : n = 0, { simp [hn] },
have hn' : (n : ℚ) ≠ 0, { simp [hn] },
have hpQ : ∏ p in n.factors.to_finset, (p : ℚ) ≠ 0,
{ rw [←cast_prod, cast_ne_zero, ←zero_lt_iff, ←prod_factorization_eq_prod_factors],
exact prod_pos (λ p hp, pos_of_mem_factorization hp) },
simp only [totient_eq_div_factors_mul n, prod_prime_factors_dvd n, cast_mul, cast_prod,
cast_div_char_zero, mul_comm_div, mul_right_inj' hn', div_eq_iff hpQ, ←prod_mul_distrib],
refine prod_congr rfl (λ p hp, _),
have hp := pos_of_mem_factors (list.mem_to_finset.mp hp),
have hp' : (p : ℚ) ≠ 0 := cast_ne_zero.mpr hp.ne.symm,
rw [sub_mul, one_mul, mul_comm, mul_inv_cancel hp', cast_pred hp],
end
lemma totient_gcd_mul_totient_mul (a b : ℕ) : φ (a.gcd b) * φ (a * b) = φ a * φ b * (a.gcd b) :=
begin
have shuffle : ∀ a1 a2 b1 b2 c1 c2 : ℕ, b1 ∣ a1 → b2 ∣ a2 →
(a1/b1 * c1) * (a2/b2 * c2) = (a1*a2)/(b1*b2) * (c1*c2),
{ intros a1 a2 b1 b2 c1 c2 h1 h2,
calc
(a1/b1 * c1) * (a2/b2 * c2) = ((a1/b1) * (a2/b2)) * (c1*c2) : by apply mul_mul_mul_comm
... = (a1*a2)/(b1*b2) * (c1*c2) : by { congr' 1, exact div_mul_div_comm h1 h2 } },
simp only [totient_eq_div_factors_mul],
rw [shuffle, shuffle],
rotate, repeat { apply prod_prime_factors_dvd },
{ simp only [prod_factors_gcd_mul_prod_factors_mul],
rw [eq_comm, mul_comm, ←mul_assoc, ←nat.mul_div_assoc],
exact mul_dvd_mul (prod_prime_factors_dvd a) (prod_prime_factors_dvd b) }
end
lemma totient_super_multiplicative (a b : ℕ) : φ a * φ b ≤ φ (a * b) :=
begin
let d := a.gcd b,
rcases (zero_le a).eq_or_lt with rfl | ha0, { simp },
have hd0 : 0 < d, from nat.gcd_pos_of_pos_left _ ha0,
rw [←mul_le_mul_right hd0, ←totient_gcd_mul_totient_mul a b, mul_comm],
apply mul_le_mul_left' (nat.totient_le d),
end
lemma totient_dvd_of_dvd {a b : ℕ} (h : a ∣ b) : φ a ∣ φ b :=
begin
rcases eq_or_ne a 0 with rfl | ha0, { simp [zero_dvd_iff.1 h] },
rcases eq_or_ne b 0 with rfl | hb0, { simp },
have hab' : a.factorization.support ⊆ b.factorization.support,
{ intro p,
simp only [support_factorization, list.mem_to_finset],
apply factors_subset_of_dvd h hb0 },
rw [totient_eq_prod_factorization ha0, totient_eq_prod_factorization hb0],
refine finsupp.prod_dvd_prod_of_subset_of_dvd hab' (λ p hp, mul_dvd_mul _ dvd_rfl),
exact pow_dvd_pow p (tsub_le_tsub_right ((factorization_le_iff_dvd ha0 hb0).2 h p) 1),
end
lemma totient_mul_of_prime_of_dvd {p n : ℕ} (hp : p.prime) (h : p ∣ n) :
(p * n).totient = p * n.totient :=
begin
have h1 := totient_gcd_mul_totient_mul p n,
rw [(gcd_eq_left h), mul_assoc] at h1,
simpa [(totient_pos hp.pos).ne', mul_comm] using h1,
end
lemma totient_mul_of_prime_of_not_dvd {p n : ℕ} (hp : p.prime) (h : ¬ p ∣ n) :
(p * n).totient = (p - 1) * n.totient :=
begin
rw [totient_mul _, totient_prime hp],
simpa [h] using coprime_or_dvd_of_prime hp n,
end
end nat
|
4578f84acc368a65f2db9ae74dbb31a5fe6b1b25 | caa1512363b76923d0e9cdb716122a5c26c3c6bc | /src/cone.lean | e5c03ac460df4ae0934609b362dcd9356058a56e | [] | no_license | apurvanakade/cvx | deb20e425ce478159a98e1ffc0d37f9c88a89280 | b47784831339df5a3e45f5cddd84edc545f95808 | refs/heads/master | 1,687,403,288,536 | 1,555,930,740,000 | 1,555,930,740,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 2,494 | lean |
import linear_algebra.basic
import data.real.basic
import data.set.basic
import tactic.interactive
import .inner_product_space
noncomputable theory
local attribute [instance] classical.prop_decidable
section basic
variables
{α : Type*}
[has_scalar ℝ α]
{ι : Sort _}
(A : set α) (B : set α) (x : α)
open set
-- Cones
def cone (A : set α) : Prop :=
∀x ∈ A, ∀(c : ℝ), 0 ≤ c → c • x ∈ A
lemma cone_empty :
cone ({} : set α) :=
by finish
lemma cone_univ :
cone (univ : set α) :=
by finish
lemma cone_inter (hA: cone A) (hB: cone B) :
cone (A ∩ B) :=
λ x hx c hc,
mem_inter (hA _ (mem_of_mem_inter_left hx) _ hc)
(hB _ (mem_of_mem_inter_right hx) _ hc)
lemma cone_Inter {s: ι → set α} (h: ∀ i : ι, cone (s i)) :
cone (Inter s) :=
by unfold cone; finish
lemma cone_union (hA: cone A) (hB: cone B) :
cone (A ∪ B) :=
begin
intros x hx c hc,
apply or.elim (mem_or_mem_of_mem_union hx),
{ intro h,
apply mem_union_left,
apply hA _ h _ hc },
{ intro h,
apply mem_union_right,
apply hB _ h _ hc }
end
lemma cone_Union {s: ι → set α} (h: ∀ i : ι, cone (s i)) :
cone (Union s) :=
begin
intros x hx c hc,
apply exists.elim (mem_Union.1 hx),
intros i hi,
apply mem_Union.2,
use i,
apply h i _ hi _ hc
end
end basic
section vector_space
variables
{α : Type*}
[add_comm_group α] [vector_space ℝ α]
(A : set α) (B : set α) (x : α)
open set
lemma cone_subspace {s : subspace ℝ α} :
cone (s.carrier) :=
λ x hx c hc, s.smul c hx
lemma cone_contains_0 (hA : cone A) :
A ≠ ∅ ↔ (0 : α) ∈ A :=
begin
apply iff.intro,
{ intros h,
apply exists.elim (exists_mem_of_ne_empty h),
intros x hx, rw ←zero_smul ℝ,
apply hA x hx 0 (le_refl 0) },
{ intros h,
exact ne_empty_of_mem h }
end
lemma cone_0 {α : Type*} [add_comm_group α] [semimodule ℝ α] : cone ({0} : set α) :=
begin
intros x hx c hc,
apply mem_singleton_of_eq,
convert smul_zero c,
exact eq_of_mem_singleton hx
end
end vector_space
section dual_cone
def dual_cone {α : Type*} [has_inner ℝ α] (A : set α) : set α :=
{ y | ∀ x ∈ A, 0 ≤ ⟪ x, y ⟫ }
open real_inner_product_space
variables {α : Type*}
[real_inner_product_space α]
(A : set α) (B : set α)
lemma cone_dual_cone : cone (dual_cone A) :=
begin
intros x ha c hc z hz,
rw inner_smul_right,
apply zero_le_mul hc,
exact ha _ hz
end
end dual_cone |
c8cf485aa65506e08059b3babbe7ecb785829152 | aa5a655c05e5359a70646b7154e7cac59f0b4132 | /src/Lean/Elab/MutualDef.lean | 8bb1147b472d2eba8457418cd10bf4e3acf0da54 | [
"Apache-2.0"
] | permissive | lambdaxymox/lean4 | ae943c960a42247e06eff25c35338268d07454cb | 278d47c77270664ef29715faab467feac8a0f446 | refs/heads/master | 1,677,891,867,340 | 1,612,500,005,000 | 1,612,500,005,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 28,171 | lean | /-
Copyright (c) 2020 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Leonardo de Moura
-/
import Lean.Parser.Term
import Lean.Meta.Closure
import Lean.Meta.Check
import Lean.Elab.Command
import Lean.Elab.DefView
import Lean.Elab.PreDefinition
import Lean.Elab.DeclarationRange
namespace Lean.Elab
open Lean.Parser.Term
/- DefView after elaborating the header. -/
structure DefViewElabHeader where
ref : Syntax
modifiers : Modifiers
kind : DefKind
shortDeclName : Name
declName : Name
levelNames : List Name
numParams : Nat
type : Expr -- including the parameters
valueStx : Syntax
deriving Inhabited
namespace Term
open Meta
private def checkModifiers (m₁ m₂ : Modifiers) : TermElabM Unit := do
unless m₁.isUnsafe == m₂.isUnsafe do
throwError "cannot mix unsafe and safe definitions"
unless m₁.isNoncomputable == m₂.isNoncomputable do
throwError "cannot mix computable and non-computable definitions"
unless m₁.isPartial == m₂.isPartial do
throwError "cannot mix partial and non-partial definitions"
private def checkKinds (k₁ k₂ : DefKind) : TermElabM Unit := do
unless k₁.isExample == k₂.isExample do
throwError "cannot mix examples and definitions" -- Reason: we should discard examples
unless k₁.isTheorem == k₂.isTheorem do
throwError "cannot mix theorems and definitions" -- Reason: we will eventually elaborate theorems in `Task`s.
private def check (prevHeaders : Array DefViewElabHeader) (newHeader : DefViewElabHeader) : TermElabM Unit := do
if newHeader.kind.isTheorem && newHeader.modifiers.isUnsafe then
throwError "'unsafe' theorems are not allowed"
if newHeader.kind.isTheorem && newHeader.modifiers.isPartial then
throwError "'partial' theorems are not allowed, 'partial' is a code generation directive"
if newHeader.kind.isTheorem && newHeader.modifiers.isNoncomputable then
throwError "'theorem' subsumes 'noncomputable', code is not generated for theorems"
if newHeader.modifiers.isNoncomputable && newHeader.modifiers.isUnsafe then
throwError "'noncomputable unsafe' is not allowed"
if newHeader.modifiers.isNoncomputable && newHeader.modifiers.isPartial then
throwError "'noncomputable partial' is not allowed"
if newHeader.modifiers.isPartial && newHeader.modifiers.isUnsafe then
throwError "'unsafe' subsumes 'partial'"
if h : 0 < prevHeaders.size then
let firstHeader := prevHeaders.get ⟨0, h⟩
try
unless newHeader.levelNames == firstHeader.levelNames do
throwError "universe parameters mismatch"
checkModifiers newHeader.modifiers firstHeader.modifiers
checkKinds newHeader.kind firstHeader.kind
catch
| Exception.error ref msg => throw (Exception.error ref m!"invalid mutually recursive definitions, {msg}")
| ex => throw ex
else
pure ()
private def registerFailedToInferDefTypeInfo (type : Expr) (ref : Syntax) : TermElabM Unit :=
registerCustomErrorIfMVar type ref "failed to infer definition type"
private def elabFunType (ref : Syntax) (xs : Array Expr) (view : DefView) (k : Array Expr → Expr → TermElabM α) : TermElabM α := do
match view.type? with
| some typeStx =>
elabTypeWithAutoBoundImplicit typeStx fun type => do
synthesizeSyntheticMVarsNoPostponing
let type ← instantiateMVars type
registerFailedToInferDefTypeInfo type typeStx
k xs (← mkForallFVars xs type)
| none =>
let hole := mkHole ref
let type ← elabType hole
registerFailedToInferDefTypeInfo type ref
k xs (← mkForallFVars xs type)
private def elabHeaders (views : Array DefView) : TermElabM (Array DefViewElabHeader) := do
let mut headers := #[]
for view in views do
let newHeader ← withRef view.ref do
let ⟨shortDeclName, declName, levelNames⟩ ← expandDeclId (← getCurrNamespace) (← getLevelNames) view.declId view.modifiers
addDeclarationRanges declName view.ref
applyAttributesAt declName view.modifiers.attrs AttributeApplicationTime.beforeElaboration
withDeclName declName <| withAutoBoundImplicitLocal <| withLevelNames levelNames <|
elabBinders (catchAutoBoundImplicit := true) view.binders.getArgs fun xs => do
let refForElabFunType := view.value
elabFunType refForElabFunType xs view fun xs type => do
let mut type ← mkForallFVars (← read).autoBoundImplicits.toArray type
let xs ← addAutoBoundImplicits xs
let levelNames ← getLevelNames
if view.type?.isSome then
Term.synthesizeSyntheticMVarsNoPostponing
type ← instantiateMVars type
let pendingMVarIds ← getMVars type
discard <| logUnassignedUsingErrorInfos pendingMVarIds
let newHeader := {
ref := view.ref,
modifiers := view.modifiers,
kind := view.kind,
shortDeclName := shortDeclName,
declName := declName,
levelNames := levelNames,
numParams := xs.size,
type := type,
valueStx := view.value : DefViewElabHeader }
check headers newHeader
pure newHeader
headers := headers.push newHeader
pure headers
private partial def withFunLocalDecls {α} (headers : Array DefViewElabHeader) (k : Array Expr → TermElabM α) : TermElabM α :=
let rec loop (i : Nat) (fvars : Array Expr) := do
if h : i < headers.size then
let header := headers.get ⟨i, h⟩
withLocalDecl header.shortDeclName BinderInfo.auxDecl header.type fun fvar => loop (i+1) (fvars.push fvar)
else
k fvars
loop 0 #[]
private def expandWhereDeclsAsStructInst : Macro
| `(whereDecls|where $[$decls:letRecDecl$[;]?]*) => do
let letIdDecls ← decls.mapM fun stx => match stx with
| `(letRecDecl|$attrs:attributes $decl:letDecl) => Macro.throwErrorAt stx "attributes are 'where' elements are currently not supported here"
| `(letRecDecl|$decl:letPatDecl) => Macro.throwErrorAt stx "patterns are not allowed here"
| `(letRecDecl|$decl:letEqnsDecl) => expandLetEqnsDecl decl
| `(letRecDecl|$decl:letIdDecl) => pure decl
| _ => unreachable!
let structInstFields ← letIdDecls.mapM fun
| stx@`(letIdDecl|$id:ident $[$binders]* $[: $ty?]? := $val) => withRef stx do
let mut val := val
if let some ty := ty? then
val ← `(($val : $ty))
val ← `(fun $[$binders]* => $val:term)
`(structInstField|$id:ident := $val)
| _ => unreachable!
`({ $[$structInstFields,]* })
| _ => unreachable!
/-
Recall that
```
def declValSimple := parser! " :=\n" >> termParser >> optional Term.whereDecls
def declValEqns := parser! Term.matchAltsWhereDecls
def declVal := declValSimple <|> declValEqns <|> Term.whereDecls
```
-/
private def declValToTerm (declVal : Syntax) : MacroM Syntax := withRef declVal do
if declVal.isOfKind `Lean.Parser.Command.declValSimple then
expandWhereDeclsOpt declVal[2] declVal[1]
else if declVal.isOfKind `Lean.Parser.Command.declValEqns then
expandMatchAltsWhereDecls declVal[0]
else if declVal.isOfKind `Lean.Parser.Term.whereDecls then
expandWhereDeclsAsStructInst declVal
else
Macro.throwErrorAt declVal "unexpected definition value"
private def elabFunValues (headers : Array DefViewElabHeader) : TermElabM (Array Expr) :=
headers.mapM fun header => withDeclName header.declName $ withLevelNames header.levelNames do
let valStx ← liftMacroM $ declValToTerm header.valueStx
forallBoundedTelescope header.type header.numParams fun xs type => do
let val ← elabTermEnsuringType valStx type
mkLambdaFVars xs val
private def collectUsed (headers : Array DefViewElabHeader) (values : Array Expr) (toLift : List LetRecToLift)
: StateRefT CollectFVars.State TermElabM Unit := do
headers.forM fun header => collectUsedFVars header.type
values.forM collectUsedFVars
toLift.forM fun letRecToLift => do
collectUsedFVars letRecToLift.type
collectUsedFVars letRecToLift.val
private def removeUnusedVars (vars : Array Expr) (headers : Array DefViewElabHeader) (values : Array Expr) (toLift : List LetRecToLift)
: TermElabM (LocalContext × LocalInstances × Array Expr) := do
let (_, used) ← (collectUsed headers values toLift).run {}
removeUnused vars used
private def withUsed {α} (vars : Array Expr) (headers : Array DefViewElabHeader) (values : Array Expr) (toLift : List LetRecToLift)
(k : Array Expr → TermElabM α) : TermElabM α := do
let (lctx, localInsts, vars) ← removeUnusedVars vars headers values toLift
withLCtx lctx localInsts $ k vars
private def isExample (views : Array DefView) : Bool :=
views.any (·.kind.isExample)
private def isTheorem (views : Array DefView) : Bool :=
views.any (·.kind.isTheorem)
private def instantiateMVarsAtHeader (header : DefViewElabHeader) : TermElabM DefViewElabHeader := do
let type ← instantiateMVars header.type
pure { header with type := type }
private def instantiateMVarsAtLetRecToLift (toLift : LetRecToLift) : TermElabM LetRecToLift := do
let type ← instantiateMVars toLift.type
let val ← instantiateMVars toLift.val
pure { toLift with type := type, val := val }
private def typeHasRecFun (type : Expr) (funFVars : Array Expr) (letRecsToLift : List LetRecToLift) : Option FVarId :=
let occ? := type.find? fun e => match e with
| Expr.fvar fvarId _ => funFVars.contains e || letRecsToLift.any fun toLift => toLift.fvarId == fvarId
| _ => false
match occ? with
| some (Expr.fvar fvarId _) => some fvarId
| _ => none
private def getFunName (fvarId : FVarId) (letRecsToLift : List LetRecToLift) : TermElabM Name := do
match (← findLocalDecl? fvarId) with
| some decl => pure decl.userName
| none =>
/- Recall that the FVarId of nested let-recs are not in the current local context. -/
match letRecsToLift.findSome? fun toLift => if toLift.fvarId == fvarId then some toLift.shortDeclName else none with
| none => throwError "unknown function"
| some n => pure n
/-
Ensures that the of let-rec definition types do not contain functions being defined.
In principle, this test can be improved. We could perform it after we separate the set of functions is strongly connected components.
However, this extra complication doesn't seem worth it.
-/
private def checkLetRecsToLiftTypes (funVars : Array Expr) (letRecsToLift : List LetRecToLift) : TermElabM Unit :=
letRecsToLift.forM fun toLift =>
match typeHasRecFun toLift.type funVars letRecsToLift with
| none => pure ()
| some fvarId => do
let fnName ← getFunName fvarId letRecsToLift
throwErrorAt! toLift.ref "invalid type in 'let rec', it uses '{fnName}' which is being defined simultaneously"
namespace MutualClosure
/- A mapping from FVarId to Set of FVarIds. -/
abbrev UsedFVarsMap := NameMap NameSet
/-
Create the `UsedFVarsMap` mapping that takes the variable id for the mutually recursive functions being defined to the set of
free variables in its definition.
For `mainFVars`, this is just the set of section variables `sectionVars` used.
For nested let-rec functions, we collect their free variables.
Recall that a `let rec` expressions are encoded as follows in the elaborator.
```lean
let rec
f : A := t,
g : B := s;
body
```
is encoded as
```lean
let f : A := ?m₁;
let g : B := ?m₂;
body
```
where `?m₁` and `?m₂` are synthetic opaque metavariables. That are assigned by this module.
We may have nested `let rec`s.
```lean
let rec f : A :=
let rec g : B := t;
s;
body
```
is encoded as
```lean
let f : A := ?m₁;
body
```
and the body of `f` is stored the field `val` of a `LetRecToLift`. For the example above,
we would have a `LetRecToLift` containing:
```
{
mvarId := m₁,
val := `(let g : B := ?m₂; body)
...
}
```
Note that `g` is not a free variable at `(let g : B := ?m₂; body)`. We recover the fact that
`f` depends on `g` because it contains `m₂`
-/
private def mkInitialUsedFVarsMap (mctx : MetavarContext) (sectionVars : Array Expr) (mainFVarIds : Array FVarId) (letRecsToLift : List LetRecToLift)
: UsedFVarsMap := do
let mut sectionVarSet := {}
for var in sectionVars do
sectionVarSet := sectionVarSet.insert var.fvarId!
let mut usedFVarMap := {}
for mainFVarId in mainFVarIds do
usedFVarMap := usedFVarMap.insert mainFVarId sectionVarSet
for toLift in letRecsToLift do
let state := Lean.collectFVars {} toLift.val
let state := Lean.collectFVars state toLift.type
let mut set := state.fvarSet
/- toLift.val may contain metavariables that are placeholders for nested let-recs. We should collect the fvarId
for the associated let-rec because we need this information to compute the fixpoint later. -/
let mvarIds := (toLift.val.collectMVars {}).result
for mvarId in mvarIds do
match letRecsToLift.findSome? fun (toLift : LetRecToLift) => if toLift.mvarId == mctx.getDelayedRoot mvarId then some toLift.fvarId else none with
| some fvarId => set := set.insert fvarId
| none => pure ()
usedFVarMap := usedFVarMap.insert toLift.fvarId set
pure usedFVarMap
/-
The let-recs may invoke each other. Example:
```
let rec
f (x : Nat) := g x + y
g : Nat → Nat
| 0 => 1
| x+1 => f x + z
```
`y` is free variable in `f`, and `z` is a free variable in `g`.
To close `f` and `g`, `y` and `z` must be in the closure of both.
That is, we need to generate the top-level definitions.
```
def f (y z x : Nat) := g y z x + y
def g (y z : Nat) : Nat → Nat
| 0 => 1
| x+1 => f y z x + z
```
-/
namespace FixPoint
structure State where
usedFVarsMap : UsedFVarsMap := {}
modified : Bool := false
abbrev M := ReaderT (List FVarId) $ StateM State
private def isModified : M Bool := do pure (← get).modified
private def resetModified : M Unit := modify fun s => { s with modified := false }
private def markModified : M Unit := modify fun s => { s with modified := true }
private def getUsedFVarsMap : M UsedFVarsMap := do pure (← get).usedFVarsMap
private def modifyUsedFVars (f : UsedFVarsMap → UsedFVarsMap) : M Unit := modify fun s => { s with usedFVarsMap := f s.usedFVarsMap }
-- merge s₂ into s₁
private def merge (s₁ s₂ : NameSet) : M NameSet :=
s₂.foldM (init := s₁) fun s₁ k => do
if s₁.contains k then
pure s₁
else
markModified
pure $ s₁.insert k
private def updateUsedVarsOf (fvarId : FVarId) : M Unit := do
let usedFVarsMap ← getUsedFVarsMap
match usedFVarsMap.find? fvarId with
| none => pure ()
| some fvarIds =>
let fvarIdsNew ← fvarIds.foldM (init := fvarIds) fun fvarIdsNew fvarId' =>
if fvarId == fvarId' then
pure fvarIdsNew
else
match usedFVarsMap.find? fvarId' with
| none => pure fvarIdsNew
/- We are being sloppy here `otherFVarIds` may contain free variables that are
not in the context of the let-rec associated with fvarId.
We filter these out-of-context free variables later. -/
| some otherFVarIds => merge fvarIdsNew otherFVarIds
modifyUsedFVars fun usedFVars => usedFVars.insert fvarId fvarIdsNew
private partial def fixpoint : Unit → M Unit
| _ => do
resetModified
let letRecFVarIds ← read
letRecFVarIds.forM updateUsedVarsOf
if (← isModified) then
fixpoint ()
def run (letRecFVarIds : List FVarId) (usedFVarsMap : UsedFVarsMap) : UsedFVarsMap :=
let (_, s) := ((fixpoint ()).run letRecFVarIds).run { usedFVarsMap := usedFVarsMap }
s.usedFVarsMap
end FixPoint
abbrev FreeVarMap := NameMap (Array FVarId)
private def mkFreeVarMap
(mctx : MetavarContext) (sectionVars : Array Expr) (mainFVarIds : Array FVarId)
(recFVarIds : Array FVarId) (letRecsToLift : List LetRecToLift) : FreeVarMap := do
let usedFVarsMap := mkInitialUsedFVarsMap mctx sectionVars mainFVarIds letRecsToLift
let letRecFVarIds := letRecsToLift.map fun toLift => toLift.fvarId
let usedFVarsMap := FixPoint.run letRecFVarIds usedFVarsMap
let mut freeVarMap := {}
for toLift in letRecsToLift do
let lctx := toLift.lctx
let fvarIdsSet := (usedFVarsMap.find? toLift.fvarId).get!
let fvarIds := fvarIdsSet.fold (init := #[]) fun fvarIds fvarId =>
if lctx.contains fvarId && !recFVarIds.contains fvarId then
fvarIds.push fvarId
else
fvarIds
freeVarMap := freeVarMap.insert toLift.fvarId fvarIds
pure freeVarMap
structure ClosureState where
newLocalDecls : Array LocalDecl := #[]
localDecls : Array LocalDecl := #[]
newLetDecls : Array LocalDecl := #[]
exprArgs : Array Expr := #[]
private def pickMaxFVar? (lctx : LocalContext) (fvarIds : Array FVarId) : Option FVarId :=
fvarIds.getMax? fun fvarId₁ fvarId₂ => (lctx.get! fvarId₁).index < (lctx.get! fvarId₂).index
private def preprocess (e : Expr) : TermElabM Expr := do
let e ← instantiateMVars e
-- which let-decls are dependent. We say a let-decl is dependent if its lambda abstraction is type incorrect.
Meta.check e
pure e
/- Push free variables in `s` to `toProcess` if they are not already there. -/
private def pushNewVars (toProcess : Array FVarId) (s : CollectFVars.State) : Array FVarId :=
s.fvarSet.fold (init := toProcess) fun toProcess fvarId =>
if toProcess.contains fvarId then toProcess else toProcess.push fvarId
private def pushLocalDecl (toProcess : Array FVarId) (fvarId : FVarId) (userName : Name) (type : Expr) (bi := BinderInfo.default)
: StateRefT ClosureState TermElabM (Array FVarId) := do
let type ← preprocess type
modify fun s => { s with
newLocalDecls := s.newLocalDecls.push $ LocalDecl.cdecl arbitrary fvarId userName type bi,
exprArgs := s.exprArgs.push (mkFVar fvarId)
}
pure $ pushNewVars toProcess (collectFVars {} type)
private partial def mkClosureForAux (toProcess : Array FVarId) : StateRefT ClosureState TermElabM Unit := do
let lctx ← getLCtx
match pickMaxFVar? lctx toProcess with
| none => pure ()
| some fvarId =>
trace[Elab.definition.mkClosure]! "toProcess: {toProcess.map mkFVar}, maxVar: {mkFVar fvarId}"
let toProcess := toProcess.erase fvarId
let localDecl ← getLocalDecl fvarId
match localDecl with
| LocalDecl.cdecl _ _ userName type bi =>
let toProcess ← pushLocalDecl toProcess fvarId userName type bi
mkClosureForAux toProcess
| LocalDecl.ldecl _ _ userName type val _ =>
let zetaFVarIds ← getZetaFVarIds
if !zetaFVarIds.contains fvarId then
/- Non-dependent let-decl. See comment at src/Lean/Meta/Closure.lean -/
let toProcess ← pushLocalDecl toProcess fvarId userName type
mkClosureForAux toProcess
else
/- Dependent let-decl. -/
let type ← preprocess type
let val ← preprocess val
modify fun s => { s with
newLetDecls := s.newLetDecls.push $ LocalDecl.ldecl arbitrary fvarId userName type val false,
/- We don't want to interleave let and lambda declarations in our closure. So, we expand any occurrences of fvarId
at `newLocalDecls` and `localDecls` -/
newLocalDecls := s.newLocalDecls.map (replaceFVarIdAtLocalDecl fvarId val),
localDecls := s.localDecls.map (replaceFVarIdAtLocalDecl fvarId val)
}
mkClosureForAux (pushNewVars toProcess (collectFVars (collectFVars {} type) val))
private partial def mkClosureFor (freeVars : Array FVarId) (localDecls : Array LocalDecl) : TermElabM ClosureState := do
let (_, s) ← (mkClosureForAux freeVars).run { localDecls := localDecls }
pure { s with
newLocalDecls := s.newLocalDecls.reverse,
newLetDecls := s.newLetDecls.reverse,
exprArgs := s.exprArgs.reverse
}
structure LetRecClosure where
ref : Syntax
localDecls : Array LocalDecl
closed : Expr -- expression used to replace occurrences of the let-rec FVarId
toLift : LetRecToLift
private def mkLetRecClosureFor (toLift : LetRecToLift) (freeVars : Array FVarId) : TermElabM LetRecClosure := do
let lctx := toLift.lctx
withLCtx lctx toLift.localInstances do
lambdaTelescope toLift.val fun xs val => do
let type ← instantiateForall toLift.type xs
let lctx ← getLCtx
let s ← mkClosureFor freeVars $ xs.map fun x => lctx.get! x.fvarId!
let type := Closure.mkForall s.localDecls $ Closure.mkForall s.newLetDecls type
let val := Closure.mkLambda s.localDecls $ Closure.mkLambda s.newLetDecls val
let c := mkAppN (Lean.mkConst toLift.declName) s.exprArgs
assignExprMVar toLift.mvarId c
return {
ref := toLift.ref
localDecls := s.newLocalDecls
closed := c
toLift := { toLift with val := val, type := type }
}
private def mkLetRecClosures (letRecsToLift : List LetRecToLift) (freeVarMap : FreeVarMap) : TermElabM (List LetRecClosure) :=
letRecsToLift.mapM fun toLift => mkLetRecClosureFor toLift (freeVarMap.find? toLift.fvarId).get!
/- Mapping from FVarId of mutually recursive functions being defined to "closure" expression. -/
abbrev Replacement := NameMap Expr
def insertReplacementForMainFns (r : Replacement) (sectionVars : Array Expr) (mainHeaders : Array DefViewElabHeader) (mainFVars : Array Expr) : Replacement :=
mainFVars.size.fold (init := r) fun i r =>
r.insert (mainFVars.get! i).fvarId! (mkAppN (Lean.mkConst (mainHeaders.get! i).declName) sectionVars)
def insertReplacementForLetRecs (r : Replacement) (letRecClosures : List LetRecClosure) : Replacement :=
letRecClosures.foldl (init := r) fun r c =>
r.insert c.toLift.fvarId c.closed
def Replacement.apply (r : Replacement) (e : Expr) : Expr :=
e.replace fun e => match e with
| Expr.fvar fvarId _ => match r.find? fvarId with
| some c => some c
| _ => none
| _ => none
def pushMain (preDefs : Array PreDefinition) (sectionVars : Array Expr) (mainHeaders : Array DefViewElabHeader) (mainVals : Array Expr)
: TermElabM (Array PreDefinition) :=
mainHeaders.size.foldM (init := preDefs) fun i preDefs => do
let header := mainHeaders[i]
let val ← mkLambdaFVars sectionVars mainVals[i]
let type ← mkForallFVars sectionVars header.type
return preDefs.push {
ref := getDeclarationSelectionRef header.ref
kind := header.kind
declName := header.declName
levelParams := [], -- we set it later
modifiers := header.modifiers
type := type
value := val
}
def pushLetRecs (preDefs : Array PreDefinition) (letRecClosures : List LetRecClosure) (kind : DefKind) (modifiers : Modifiers) : Array PreDefinition :=
letRecClosures.foldl (init := preDefs) fun preDefs c =>
let type := Closure.mkForall c.localDecls c.toLift.type
let val := Closure.mkLambda c.localDecls c.toLift.val
preDefs.push {
ref := c.ref
kind := kind
declName := c.toLift.declName
levelParams := [] -- we set it later
modifiers := { modifiers with attrs := c.toLift.attrs }
type := type
value := val
}
def getKindForLetRecs (mainHeaders : Array DefViewElabHeader) : DefKind :=
if mainHeaders.any fun h => h.kind.isTheorem then DefKind.«theorem»
else DefKind.«def»
def getModifiersForLetRecs (mainHeaders : Array DefViewElabHeader) : Modifiers := {
isNoncomputable := mainHeaders.any fun h => h.modifiers.isNoncomputable,
isPartial := mainHeaders.any fun h => h.modifiers.isPartial,
isUnsafe := mainHeaders.any fun h => h.modifiers.isUnsafe
}
/-
- `sectionVars`: The section variables used in the `mutual` block.
- `mainHeaders`: The elaborated header of the top-level definitions being defined by the mutual block.
- `mainFVars`: The auxiliary variables used to represent the top-level definitions being defined by the mutual block.
- `mainVals`: The elaborated value for the top-level definitions
- `letRecsToLift`: The let-rec's definitions that need to be lifted
-/
def main (sectionVars : Array Expr) (mainHeaders : Array DefViewElabHeader) (mainFVars : Array Expr) (mainVals : Array Expr) (letRecsToLift : List LetRecToLift)
: TermElabM (Array PreDefinition) := do
-- Store in recFVarIds the fvarId of every function being defined by the mutual block.
let mainFVarIds := mainFVars.map Expr.fvarId!
let recFVarIds := (letRecsToLift.toArray.map fun toLift => toLift.fvarId) ++ mainFVarIds
-- Compute the set of free variables (excluding `recFVarIds`) for each let-rec.
let mctx ← getMCtx
let freeVarMap := mkFreeVarMap mctx sectionVars mainFVarIds recFVarIds letRecsToLift
resetZetaFVarIds
withTrackingZeta do
-- By checking `toLift.type` and `toLift.val` we populate `zetaFVarIds`. See comments at `src/Lean/Meta/Closure.lean`.
letRecsToLift.forM fun toLift => withLCtx toLift.lctx toLift.localInstances do Meta.check toLift.type; Meta.check toLift.val
let letRecClosures ← mkLetRecClosures letRecsToLift freeVarMap
-- mkLetRecClosures assign metavariables that were placeholders for the lifted declarations.
let mainVals ← mainVals.mapM (instantiateMVars ·)
let mainHeaders ← mainHeaders.mapM instantiateMVarsAtHeader
let letRecClosures ← letRecClosures.mapM fun closure => do pure { closure with toLift := (← instantiateMVarsAtLetRecToLift closure.toLift) }
-- Replace fvarIds for functions being defined with closed terms
let r := insertReplacementForMainFns {} sectionVars mainHeaders mainFVars
let r := insertReplacementForLetRecs r letRecClosures
let mainVals := mainVals.map r.apply
let mainHeaders := mainHeaders.map fun h => { h with type := r.apply h.type }
let letRecClosures := letRecClosures.map fun c => { c with toLift := { c.toLift with type := r.apply c.toLift.type, val := r.apply c.toLift.val } }
let letRecKind := getKindForLetRecs mainHeaders
let letRecMods := getModifiersForLetRecs mainHeaders
pushMain (pushLetRecs #[] letRecClosures letRecKind letRecMods) sectionVars mainHeaders mainVals
end MutualClosure
private def getAllUserLevelNames (headers : Array DefViewElabHeader) : List Name :=
if h : 0 < headers.size then
-- Recall that all top-level functions must have the same levels. See `check` method above
(headers.get ⟨0, h⟩).levelNames
else
[]
def elabMutualDef (vars : Array Expr) (views : Array DefView) : TermElabM Unit := do
let scopeLevelNames ← getLevelNames
let headers ← elabHeaders views
let allUserLevelNames := getAllUserLevelNames headers
withFunLocalDecls headers fun funFVars => do
let values ← elabFunValues headers
Term.synthesizeSyntheticMVarsNoPostponing
if isExample views then
pure ()
else
let values ← values.mapM (instantiateMVars ·)
let headers ← headers.mapM instantiateMVarsAtHeader
let letRecsToLift ← getLetRecsToLift
let letRecsToLift ← letRecsToLift.mapM instantiateMVarsAtLetRecToLift
checkLetRecsToLiftTypes funFVars letRecsToLift
withUsed vars headers values letRecsToLift fun vars => do
let preDefs ← MutualClosure.main vars headers funFVars values letRecsToLift
let preDefs ← levelMVarToParamPreDecls preDefs
let preDefs ← instantiateMVarsAtPreDecls preDefs
let preDefs ← fixLevelParams preDefs scopeLevelNames allUserLevelNames
addPreDefinitions preDefs
end Term
namespace Command
def elabMutualDef (ds : Array Syntax) : CommandElabM Unit := do
let views ← ds.mapM fun d => do
let modifiers ← elabModifiers d[0]
mkDefView modifiers d[1]
runTermElabM none fun vars => Term.elabMutualDef vars views
end Command
end Lean.Elab
|
195ff49c6dc39eb8cd11174574ae9a53e1f59aec | 55c7fc2bf55d496ace18cd6f3376e12bb14c8cc5 | /src/data/seq/seq.lean | 52f364712c2ea9e542b777802731829b6f73a6aa | [
"Apache-2.0"
] | permissive | dupuisf/mathlib | 62de4ec6544bf3b79086afd27b6529acfaf2c1bb | 8582b06b0a5d06c33ee07d0bdf7c646cae22cf36 | refs/heads/master | 1,669,494,854,016 | 1,595,692,409,000 | 1,595,692,409,000 | 272,046,630 | 0 | 0 | Apache-2.0 | 1,592,066,143,000 | 1,592,066,142,000 | null | UTF-8 | Lean | false | false | 28,505 | lean | /-
Copyright (c) 2017 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Author: Mario Carneiro
-/
import data.list.basic
import data.stream
import data.lazy_list
import data.seq.computation
universes u v w
/-
coinductive seq (α : Type u) : Type u
| nil : seq α
| cons : α → seq α → seq α
-/
/--
A stream `s : option α` is a sequence if `s.nth n = none` implies `s.nth (n + 1) = none`.
-/
def stream.is_seq {α : Type u} (s : stream (option α)) : Prop :=
∀ {n : ℕ}, s n = none → s (n + 1) = none
/-- `seq α` is the type of possibly infinite lists (referred here as sequences).
It is encoded as an infinite stream of options such that if `f n = none`, then
`f m = none` for all `m ≥ n`. -/
def seq (α : Type u) : Type u := { f : stream (option α) // f.is_seq }
/-- `seq1 α` is the type of nonempty sequences. -/
def seq1 (α) := α × seq α
namespace seq
variables {α : Type u} {β : Type v} {γ : Type w}
/-- The empty sequence -/
def nil : seq α := ⟨stream.const none, λn h, rfl⟩
instance : inhabited (seq α) := ⟨nil⟩
/-- Prepend an element to a sequence -/
def cons (a : α) : seq α → seq α
| ⟨f, al⟩ := ⟨some a :: f, λn h, by {cases n with n, contradiction, exact al h}⟩
/-- Get the nth element of a sequence (if it exists) -/
def nth : seq α → ℕ → option α := subtype.val
/-- A sequence has terminated at position `n` if the value at position `n` equals `none`. -/
def terminated_at (s : seq α) (n : ℕ) : Prop := s.nth n = none
/-- It is decidable whether a sequence terminates at a given position. -/
instance terminated_at_decidable (s : seq α) (n : ℕ) : decidable (s.terminated_at n) :=
decidable_of_iff' (s.nth n).is_none $ by unfold terminated_at; cases s.nth n; simp
/-- A sequence terminates if there is some position `n` at which it has terminated. -/
def terminates (s : seq α) : Prop := ∃ (n : ℕ), s.terminated_at n
/-- Functorial action of the functor `option (α × _)` -/
@[simp] def omap (f : β → γ) : option (α × β) → option (α × γ)
| none := none
| (some (a, b)) := some (a, f b)
/-- Get the first element of a sequence -/
def head (s : seq α) : option α := nth s 0
/-- Get the tail of a sequence (or `nil` if the sequence is `nil`) -/
def tail : seq α → seq α
| ⟨f, al⟩ := ⟨f.tail, λ n, al⟩
protected def mem (a : α) (s : seq α) := some a ∈ s.1
instance : has_mem α (seq α) :=
⟨seq.mem⟩
theorem le_stable (s : seq α) {m n} (h : m ≤ n) :
s.1 m = none → s.1 n = none :=
by {cases s with f al, induction h with n h IH, exacts [id, λ h2, al (IH h2)]}
/-- If a sequence terminated at position `n`, it also terminated at `m ≥ n `. -/
lemma terminated_stable (s : seq α) {m n : ℕ} (m_le_n : m ≤ n)
(terminated_at_m : s.terminated_at m) :
s.terminated_at n :=
le_stable s m_le_n terminated_at_m
/--
If `s.nth n = some aₙ` for some value `aₙ`, then there is also some value `aₘ` such
that `s.nth = some aₘ` for `m ≤ n`.
-/
lemma ge_stable (s : seq α) {aₙ : α} {n m : ℕ} (m_le_n : m ≤ n)
(s_nth_eq_some : s.nth n = some aₙ) :
∃ (aₘ : α), s.nth m = some aₘ :=
have s.nth n ≠ none, by simp [s_nth_eq_some],
have s.nth m ≠ none, from mt (s.le_stable m_le_n) this,
with_one.ne_one_iff_exists.elim_left this
theorem not_mem_nil (a : α) : a ∉ @nil α :=
λ ⟨n, (h : some a = none)⟩, by injection h
theorem mem_cons (a : α) : ∀ (s : seq α), a ∈ cons a s
| ⟨f, al⟩ := stream.mem_cons (some a) _
theorem mem_cons_of_mem (y : α) {a : α} : ∀ {s : seq α}, a ∈ s → a ∈ cons y s
| ⟨f, al⟩ := stream.mem_cons_of_mem (some y)
theorem eq_or_mem_of_mem_cons {a b : α} : ∀ {s : seq α}, a ∈ cons b s → a = b ∨ a ∈ s
| ⟨f, al⟩ h := (stream.eq_or_mem_of_mem_cons h).imp_left (λh, by injection h)
@[simp] theorem mem_cons_iff {a b : α} {s : seq α} : a ∈ cons b s ↔ a = b ∨ a ∈ s :=
⟨eq_or_mem_of_mem_cons, λo, by cases o with e m;
[{rw e, apply mem_cons}, exact mem_cons_of_mem _ m]⟩
/-- Destructor for a sequence, resulting in either `none` (for `nil`) or
`some (a, s)` (for `cons a s`). -/
def destruct (s : seq α) : option (seq1 α) :=
(λa', (a', s.tail)) <$> nth s 0
theorem destruct_eq_nil {s : seq α} : destruct s = none → s = nil :=
begin
dsimp [destruct],
induction f0 : nth s 0; intro h,
{ apply subtype.eq,
funext n,
induction n with n IH, exacts [f0, s.2 IH] },
{ contradiction }
end
theorem destruct_eq_cons {s : seq α} {a s'} : destruct s = some (a, s') → s = cons a s' :=
begin
dsimp [destruct],
induction f0 : nth s 0 with a'; intro h,
{ contradiction },
{ unfold functor.map at h,
cases s with f al,
injections with _ h1 h2,
rw ←h2, apply subtype.eq, dsimp [tail, cons],
rw h1 at f0, rw ←f0,
exact (stream.eta f).symm }
end
@[simp] theorem destruct_nil : destruct (nil : seq α) = none := rfl
@[simp] theorem destruct_cons (a : α) : ∀ s, destruct (cons a s) = some (a, s)
| ⟨f, al⟩ := begin
unfold cons destruct functor.map,
apply congr_arg (λ s, some (a, s)),
apply subtype.eq, dsimp [tail], rw [stream.tail_cons]
end
theorem head_eq_destruct (s : seq α) : head s = prod.fst <$> destruct s :=
by unfold destruct head; cases nth s 0; refl
@[simp] theorem head_nil : head (nil : seq α) = none := rfl
@[simp] theorem head_cons (a : α) (s) : head (cons a s) = some a :=
by rw [head_eq_destruct, destruct_cons]; refl
@[simp] theorem tail_nil : tail (nil : seq α) = nil := rfl
@[simp] theorem tail_cons (a : α) (s) : tail (cons a s) = s :=
by cases s with f al; apply subtype.eq; dsimp [tail, cons]; rw [stream.tail_cons]
def cases_on {C : seq α → Sort v} (s : seq α)
(h1 : C nil) (h2 : ∀ x s, C (cons x s)) : C s := begin
induction H : destruct s with v v,
{ rw destruct_eq_nil H, apply h1 },
{ cases v with a s', rw destruct_eq_cons H, apply h2 }
end
theorem mem_rec_on {C : seq α → Prop} {a s} (M : a ∈ s)
(h1 : ∀ b s', (a = b ∨ C s') → C (cons b s')) : C s :=
begin
cases M with k e, unfold stream.nth at e,
induction k with k IH generalizing s,
{ have TH : s = cons a (tail s),
{ apply destruct_eq_cons,
unfold destruct nth functor.map, rw ←e, refl },
rw TH, apply h1 _ _ (or.inl rfl) },
revert e, apply s.cases_on _ (λ b s', _); intro e,
{ injection e },
{ have h_eq : (cons b s').val (nat.succ k) = s'.val k, { cases s'; refl },
rw [h_eq] at e,
apply h1 _ _ (or.inr (IH e)) }
end
def corec.F (f : β → option (α × β)) : option β → option α × option β
| none := (none, none)
| (some b) := match f b with none := (none, none) | some (a, b') := (some a, some b') end
/-- Corecursor for `seq α` as a coinductive type. Iterates `f` to produce new elements
of the sequence until `none` is obtained. -/
def corec (f : β → option (α × β)) (b : β) : seq α :=
begin
refine ⟨stream.corec' (corec.F f) (some b), λn h, _⟩,
rw stream.corec'_eq,
change stream.corec' (corec.F f) (corec.F f (some b)).2 n = none,
revert h, generalize : some b = o, revert o,
induction n with n IH; intro o,
{ change (corec.F f o).1 = none → (corec.F f (corec.F f o).2).1 = none,
cases o with b; intro h, { refl },
dsimp [corec.F] at h, dsimp [corec.F],
cases f b with s, { refl },
{ cases s with a b', contradiction } },
{ 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 }
end
@[simp] theorem corec_eq (f : β → option (α × β)) (b : β) :
destruct (corec f b) = omap (corec f) (f b) :=
begin
dsimp [corec, destruct, nth],
change stream.corec' (corec.F f) (some b) 0 with (corec.F f (some b)).1,
unfold functor.map, dsimp [corec.F],
induction h : f b with s, { refl },
cases s with a b', dsimp [corec.F],
apply congr_arg (λ b', some (a, b')),
apply subtype.eq,
dsimp [corec, tail],
rw [stream.corec'_eq, stream.tail_cons],
dsimp [corec.F], rw h, refl
end
/-- Embed a list as a sequence -/
def of_list (l : list α) : seq α :=
⟨list.nth l, λn h, begin
induction l with a l IH generalizing n, refl,
dsimp [list.nth], cases n with n; dsimp [list.nth] at h,
{ contradiction },
{ apply IH _ h }
end⟩
instance coe_list : has_coe (list α) (seq α) := ⟨of_list⟩
section bisim
variable (R : seq α → seq α → Prop)
local infix ~ := R
def bisim_o : option (seq1 α) → option (seq1 α) → Prop
| none none := true
| (some (a, s)) (some (a', s')) := a = a' ∧ R s s'
| _ _ := false
attribute [simp] bisim_o
def is_bisimulation := ∀ ⦃s₁ s₂⦄, s₁ ~ s₂ → bisim_o R (destruct s₁) (destruct s₂)
-- If two streams are bisimilar, then they are equal
theorem eq_of_bisim (bisim : is_bisimulation R) {s₁ s₂} (r : s₁ ~ s₂) : s₁ = s₂ :=
begin
apply subtype.eq,
apply stream.eq_of_bisim (λx y, ∃ s s' : seq α, s.1 = x ∧ s'.1 = y ∧ R s s'),
dsimp [stream.is_bisimulation],
intros t₁ t₂ e,
exact match t₁, t₂, e with ._, ._, ⟨s, s', rfl, rfl, r⟩ :=
suffices head s = head s' ∧ R (tail s) (tail s'), from
and.imp id (λr, ⟨tail s, tail s',
by cases s; refl, by cases s'; refl, r⟩) this,
begin
have := bisim r, revert r this,
apply cases_on s _ _; intros; apply cases_on s' _ _; intros; intros r this,
{ constructor, refl, assumption },
{ rw [destruct_nil, destruct_cons] at this,
exact false.elim this },
{ rw [destruct_nil, destruct_cons] at this,
exact false.elim this },
{ rw [destruct_cons, destruct_cons] at this,
rw [head_cons, head_cons, tail_cons, tail_cons],
cases this with h1 h2,
constructor, rw h1, exact h2 }
end
end,
exact ⟨s₁, s₂, rfl, rfl, r⟩
end
end bisim
theorem coinduction : ∀ {s₁ s₂ : seq α}, head s₁ = head s₂ →
(∀ (β : Type u) (fr : seq α → β),
fr s₁ = fr s₂ → fr (tail s₁) = fr (tail s₂)) → s₁ = s₂
| ⟨f₁, a₁⟩ ⟨f₂, a₂⟩ hh ht :=
subtype.eq (stream.coinduction hh (λ β fr, ht β (λs, fr s.1)))
theorem coinduction2 (s) (f g : seq α → seq β)
(H : ∀ s, bisim_o (λ (s1 s2 : seq β), ∃ (s : seq α), s1 = f s ∧ s2 = g s)
(destruct (f s)) (destruct (g s)))
: f s = g s :=
begin
refine eq_of_bisim (λ s1 s2, ∃ s, s1 = f s ∧ s2 = g s) _ ⟨s, rfl, rfl⟩,
intros s1 s2 h, rcases h with ⟨s, h1, h2⟩,
rw [h1, h2], apply H
end
/-- Embed an infinite stream as a sequence -/
def of_stream (s : stream α) : seq α :=
⟨s.map some, λn h, by contradiction⟩
instance coe_stream : has_coe (stream α) (seq α) := ⟨of_stream⟩
/-- Embed a `lazy_list α` as a sequence. Note that even though this
is non-meta, it will produce infinite sequences if used with
cyclic `lazy_list`s created by meta constructions. -/
def of_lazy_list : lazy_list α → seq α :=
corec (λl, match l with
| lazy_list.nil := none
| lazy_list.cons a l' := some (a, l' ())
end)
instance coe_lazy_list : has_coe (lazy_list α) (seq α) := ⟨of_lazy_list⟩
/-- Translate a sequence into a `lazy_list`. Since `lazy_list` and `list`
are isomorphic as non-meta types, this function is necessarily meta. -/
meta def to_lazy_list : seq α → lazy_list α | s :=
match destruct s with
| none := lazy_list.nil
| some (a, s') := lazy_list.cons a (to_lazy_list s')
end
/-- Translate a sequence to a list. This function will run forever if
run on an infinite sequence. -/
meta def force_to_list (s : seq α) : list α := (to_lazy_list s).to_list
/-- The sequence of natural numbers some 0, some 1, ... -/
def nats : seq ℕ := stream.nats
@[simp]
lemma nats_nth (n : ℕ) : nats.nth n = some n := rfl
/-- Append two sequences. If `s₁` is infinite, then `s₁ ++ s₂ = s₁`,
otherwise it puts `s₂` at the location of the `nil` in `s₁`. -/
def append (s₁ s₂ : seq α) : seq α :=
@corec α (seq α × seq α) (λ⟨s₁, s₂⟩,
match destruct s₁ with
| none := omap (λs₂, (nil, s₂)) (destruct s₂)
| some (a, s₁') := some (a, s₁', s₂)
end) (s₁, s₂)
/-- Map a function over a sequence. -/
def map (f : α → β) : seq α → seq β | ⟨s, al⟩ :=
⟨s.map (option.map f),
λn, begin
dsimp [stream.map, stream.nth],
induction e : s n; intro,
{ rw al e, assumption }, { contradiction }
end⟩
/-- Flatten a sequence of sequences. (It is required that the
sequences be nonempty to ensure productivity; in the case
of an infinite sequence of `nil`, the first element is never
generated.) -/
def join : seq (seq1 α) → seq α :=
corec (λS, match destruct S with
| none := none
| some ((a, s), S') := some (a, match destruct s with
| none := S'
| some s' := cons s' S'
end)
end)
/-- Remove the first `n` elements from the sequence. -/
def drop (s : seq α) : ℕ → seq α
| 0 := s
| (n+1) := tail (drop n)
attribute [simp] drop
/-- Take the first `n` elements of the sequence (producing a list) -/
def take : ℕ → seq α → list α
| 0 s := []
| (n+1) s := match destruct s with
| none := []
| some (x, r) := list.cons x (take n r)
end
/-- Split a sequence at `n`, producing a finite initial segment
and an infinite tail. -/
def split_at : ℕ → seq α → list α × seq α
| 0 s := ([], s)
| (n+1) s := match destruct s with
| none := ([], nil)
| some (x, s') := let (l, r) := split_at n s' in (list.cons x l, r)
end
section zip_with
/-- Combine two sequences with a function -/
def zip_with (f : α → β → γ) : seq α → seq β → seq γ
| ⟨f₁, a₁⟩ ⟨f₂, a₂⟩ := ⟨λn,
match f₁ n, f₂ n with
| some a, some b := some (f a b)
| _, _ := none
end,
λn, begin
induction h1 : f₁ n,
{ intro H, simp only [(a₁ h1)], refl },
induction h2 : f₂ n; dsimp [seq.zip_with._match_1]; intro H,
{ rw (a₂ h2), cases f₁ (n + 1); refl },
{ rw [h1, h2] at H, contradiction }
end⟩
variables {s : seq α} {s' : seq β} {n : ℕ}
lemma zip_with_nth_some {a : α} {b : β} (s_nth_eq_some : s.nth n = some a)
(s_nth_eq_some' : s'.nth n = some b) (f : α → β → γ) :
(zip_with f s s').nth n = some (f a b) :=
begin
cases s with st,
have : st n = some a, from s_nth_eq_some,
cases s' with st',
have : st' n = some b, from s_nth_eq_some',
simp only [zip_with, seq.nth, *]
end
lemma zip_with_nth_none (s_nth_eq_none : s.nth n = none) (f : α → β → γ) :
(zip_with f s s').nth n = none :=
begin
cases s with st,
have : st n = none, from s_nth_eq_none,
cases s' with st',
cases st'_nth_eq : st' n;
simp only [zip_with, seq.nth, *]
end
lemma zip_with_nth_none' (s'_nth_eq_none : s'.nth n = none) (f : α → β → γ) :
(zip_with f s s').nth n = none :=
begin
cases s' with st',
have : st' n = none, from s'_nth_eq_none,
cases s with st,
cases st_nth_eq : st n;
simp only [zip_with, seq.nth, *]
end
end zip_with
/-- Pair two sequences into a sequence of pairs -/
def zip : seq α → seq β → seq (α × β) := zip_with prod.mk
/-- Separate a sequence of pairs into two sequences -/
def unzip (s : seq (α × β)) : seq α × seq β := (map prod.fst s, map prod.snd s)
/-- Convert a sequence which is known to terminate into a list -/
def to_list (s : seq α) (h : ∃ n, ¬ (nth s n).is_some) : list α :=
take (nat.find h) s
/-- Convert a sequence which is known not to terminate into a stream -/
def to_stream (s : seq α) (h : ∀ n, (nth s n).is_some) : stream α :=
λn, option.get (h n)
/-- Convert a sequence into either a list or a stream depending on whether
it is finite or infinite. (Without decidability of the infiniteness predicate,
this is not constructively possible.) -/
def to_list_or_stream (s : seq α) [decidable (∃ n, ¬ (nth s n).is_some)] :
list α ⊕ stream α :=
if h : ∃ n, ¬ (nth s n).is_some
then sum.inl (to_list s h)
else sum.inr (to_stream s (λn, decidable.by_contradiction (λ hn, h ⟨n, hn⟩)))
@[simp] theorem nil_append (s : seq α) : append nil s = s :=
begin
apply coinduction2, intro s,
dsimp [append], rw [corec_eq],
dsimp [append], apply cases_on s _ _,
{ trivial },
{ intros x s,
rw [destruct_cons], dsimp,
exact ⟨rfl, s, rfl, rfl⟩ }
end
@[simp] theorem cons_append (a : α) (s t) : append (cons a s) t = cons a (append s t) :=
destruct_eq_cons $ begin
dsimp [append], rw [corec_eq],
dsimp [append], rw [destruct_cons],
dsimp [append], refl
end
@[simp] theorem append_nil (s : seq α) : append s nil = s :=
begin
apply coinduction2 s, intro s,
apply cases_on s _ _,
{ trivial },
{ intros x s,
rw [cons_append, destruct_cons, destruct_cons], dsimp,
exact ⟨rfl, s, rfl, rfl⟩ }
end
@[simp] theorem append_assoc (s t u : seq α) :
append (append s t) u = append s (append t u) :=
begin
apply eq_of_bisim (λs1 s2, ∃ s t u,
s1 = append (append s t) u ∧ s2 = append s (append t u)),
{ intros s1 s2 h, exact match s1, s2, h with ._, ._, ⟨s, t, u, rfl, rfl⟩ := begin
apply cases_on s; simp,
{ apply cases_on t; simp,
{ apply cases_on u; simp,
{ intros x u, refine ⟨nil, nil, u, _, _⟩; simp } },
{ intros x t, refine ⟨nil, t, u, _, _⟩; simp } },
{ intros x s, exact ⟨s, t, u, rfl, rfl⟩ }
end end },
{ exact ⟨s, t, u, rfl, rfl⟩ }
end
@[simp] theorem map_nil (f : α → β) : map f nil = nil := rfl
@[simp] theorem map_cons (f : α → β) (a) : ∀ s, map f (cons a s) = cons (f a) (map f s)
| ⟨s, al⟩ := by apply subtype.eq; dsimp [cons, map]; rw stream.map_cons; refl
@[simp] theorem map_id : ∀ (s : seq α), map id s = s
| ⟨s, al⟩ := begin
apply subtype.eq; dsimp [map],
rw [option.map_id, stream.map_id]; refl
end
@[simp] theorem map_tail (f : α → β) : ∀ s, map f (tail s) = tail (map f s)
| ⟨s, al⟩ := by apply subtype.eq; dsimp [tail, map]; rw stream.map_tail; refl
theorem map_comp (f : α → β) (g : β → γ) : ∀ (s : seq α), map (g ∘ f) s = map g (map f s)
| ⟨s, al⟩ := begin
apply subtype.eq; dsimp [map],
rw stream.map_map,
apply congr_arg (λ f : _ → option γ, stream.map f s),
ext ⟨⟩; refl
end
@[simp] theorem map_append (f : α → β) (s t) : map f (append s t) = append (map f s) (map f t) :=
begin
apply eq_of_bisim (λs1 s2, ∃ s t,
s1 = map f (append s t) ∧ s2 = append (map f s) (map f t)) _ ⟨s, t, rfl, rfl⟩,
intros s1 s2 h, exact match s1, s2, h with ._, ._, ⟨s, t, rfl, rfl⟩ := begin
apply cases_on s; simp,
{ apply cases_on t; simp,
{ intros x t, refine ⟨nil, t, _, _⟩; simp } },
{ intros x s, refine ⟨s, t, rfl, rfl⟩ }
end end
end
@[simp] theorem map_nth (f : α → β) : ∀ s n, nth (map f s) n = (nth s n).map f
| ⟨s, al⟩ n := rfl
instance : functor seq := {map := @map}
instance : is_lawful_functor seq :=
{ id_map := @map_id, comp_map := @map_comp }
@[simp] theorem join_nil : join nil = (nil : seq α) := destruct_eq_nil rfl
@[simp] theorem join_cons_nil (a : α) (S) :
join (cons (a, nil) S) = cons a (join S) :=
destruct_eq_cons $ by simp [join]
@[simp] theorem join_cons_cons (a b : α) (s S) :
join (cons (a, cons b s) S) = cons a (join (cons (b, s) S)) :=
destruct_eq_cons $ by simp [join]
@[simp, priority 990] theorem join_cons (a : α) (s S) :
join (cons (a, s) S) = cons a (append s (join S)) :=
begin
apply eq_of_bisim (λs1 s2, s1 = s2 ∨
∃ a s S, s1 = join (cons (a, s) S) ∧
s2 = cons a (append s (join S))) _ (or.inr ⟨a, s, S, rfl, rfl⟩),
intros s1 s2 h,
exact match s1, s2, h with
| _, _, (or.inl $ eq.refl s) := begin
apply cases_on s, { trivial },
{ intros x s, rw [destruct_cons], exact ⟨rfl, or.inl rfl⟩ }
end
| ._, ._, (or.inr ⟨a, s, S, rfl, rfl⟩) := begin
apply cases_on s,
{ simp },
{ intros x s, simp, refine or.inr ⟨x, s, S, rfl, rfl⟩ }
end
end
end
@[simp] theorem join_append (S T : seq (seq1 α)) :
join (append S T) = append (join S) (join T) :=
begin
apply eq_of_bisim (λs1 s2, ∃ s S T,
s1 = append s (join (append S T)) ∧
s2 = append s (append (join S) (join T))),
{ intros s1 s2 h, exact match s1, s2, h with ._, ._, ⟨s, S, T, rfl, rfl⟩ := begin
apply cases_on s; simp,
{ apply cases_on S; simp,
{ apply cases_on T, { simp },
{ intros s T, cases s with a s; simp,
refine ⟨s, nil, T, _, _⟩; simp } },
{ intros s S, cases s with a s; simp,
exact ⟨s, S, T, rfl, rfl⟩ } },
{ intros x s, exact ⟨s, S, T, rfl, rfl⟩ }
end end },
{ refine ⟨nil, S, T, _, _⟩; simp }
end
@[simp] theorem of_list_nil : of_list [] = (nil : seq α) := rfl
@[simp] theorem of_list_cons (a : α) (l) :
of_list (a :: l) = cons a (of_list l) :=
begin
apply subtype.eq, simp [of_list, cons],
ext ⟨⟩; simp [list.nth, stream.cons]
end
@[simp] theorem of_stream_cons (a : α) (s) :
of_stream (a :: s) = cons a (of_stream s) :=
by apply subtype.eq; simp [of_stream, cons]; rw stream.map_cons
@[simp] theorem of_list_append (l l' : list α) :
of_list (l ++ l') = append (of_list l) (of_list l') :=
by induction l; simp [*]
@[simp] theorem of_stream_append (l : list α) (s : stream α) :
of_stream (l ++ₛ s) = append (of_list l) (of_stream s) :=
by induction l; simp [*, stream.nil_append_stream, stream.cons_append_stream]
/-- Convert a sequence into a list, embedded in a computation to allow for
the possibility of infinite sequences (in which case the computation
never returns anything). -/
def to_list' {α} (s : seq α) : computation (list α) :=
@computation.corec (list α) (list α × seq α) (λ⟨l, s⟩,
match destruct s with
| none := sum.inl l.reverse
| some (a, s') := sum.inr (a::l, s')
end) ([], s)
theorem dropn_add (s : seq α) (m) : ∀ n, drop s (m + n) = drop (drop s m) n
| 0 := rfl
| (n+1) := congr_arg tail (dropn_add n)
theorem dropn_tail (s : seq α) (n) : drop (tail s) n = drop s (n + 1) :=
by rw add_comm; symmetry; apply dropn_add
theorem nth_tail : ∀ (s : seq α) n, nth (tail s) n = nth s (n + 1)
| ⟨f, al⟩ n := rfl
@[ext]
protected lemma ext (s s': seq α) (hyp : ∀ (n : ℕ), s.nth n = s'.nth n) : s = s' :=
begin
let ext := (λ (s s' : seq α), ∀ n, s.nth n = s'.nth n),
apply seq.eq_of_bisim ext _ hyp,
-- we have to show that ext is a bisimulation
clear hyp s s',
assume s s' (hyp : ext s s'),
unfold seq.destruct,
rw (hyp 0),
cases (s'.nth 0),
{ simp [seq.bisim_o] }, -- option.none
{ -- option.some
suffices : ext s.tail s'.tail, by simpa,
assume n,
simp only [seq.nth_tail _ n, (hyp $ n + 1)] }
end
@[simp] theorem head_dropn (s : seq α) (n) : head (drop s n) = nth s n :=
begin
induction n with n IH generalizing s, { refl },
rw [nat.succ_eq_add_one, ←nth_tail, ←dropn_tail], apply IH
end
theorem mem_map (f : α → β) {a : α} : ∀ {s : seq α}, a ∈ s → f a ∈ map f s
| ⟨g, al⟩ := stream.mem_map (option.map f)
theorem exists_of_mem_map {f} {b : β} : ∀ {s : seq α}, b ∈ map f s → ∃ a, a ∈ s ∧ f a = b
| ⟨g, al⟩ h := let ⟨o, om, oe⟩ := stream.exists_of_mem_map h in
by cases o with a; injection oe with h'; exact ⟨a, om, h'⟩
theorem of_mem_append {s₁ s₂ : seq α} {a : α} (h : a ∈ append s₁ s₂) : a ∈ s₁ ∨ a ∈ s₂ :=
begin
have := h, revert this,
generalize e : append s₁ s₂ = ss, intro h, revert s₁,
apply mem_rec_on h _,
intros b s' o s₁,
apply s₁.cases_on _ (λ c t₁, _); intros m e;
have := congr_arg destruct e,
{ apply or.inr, simpa using m },
{ cases (show a = c ∨ a ∈ append t₁ s₂, by simpa using m) with e' m,
{ rw e', exact or.inl (mem_cons _ _) },
{ cases (show c = b ∧ append t₁ s₂ = s', by simpa) with i1 i2,
cases o with e' IH,
{ simp [i1, e'] },
{ exact or.imp_left (mem_cons_of_mem _) (IH m i2) } } }
end
theorem mem_append_left {s₁ s₂ : seq α} {a : α} (h : a ∈ s₁) : a ∈ append s₁ s₂ :=
by apply mem_rec_on h; intros; simp [*]
end seq
namespace seq1
variables {α : Type u} {β : Type v} {γ : Type w}
open seq
/-- Convert a `seq1` to a sequence. -/
def to_seq : seq1 α → seq α
| (a, s) := cons a s
instance coe_seq : has_coe (seq1 α) (seq α) := ⟨to_seq⟩
/-- Map a function on a `seq1` -/
def map (f : α → β) : seq1 α → seq1 β
| (a, s) := (f a, seq.map f s)
theorem map_id : ∀ (s : seq1 α), map id s = s | ⟨a, s⟩ := by simp [map]
/-- Flatten a nonempty sequence of nonempty sequences -/
def join : seq1 (seq1 α) → seq1 α
| ((a, s), S) := match destruct s with
| none := (a, seq.join S)
| some s' := (a, seq.join (cons s' S))
end
@[simp] theorem join_nil (a : α) (S) : join ((a, nil), S) = (a, seq.join S) := rfl
@[simp] theorem join_cons (a b : α) (s S) :
join ((a, cons b s), S) = (a, seq.join (cons (b, s) S)) :=
by dsimp [join]; rw [destruct_cons]; refl
/-- The `return` operator for the `seq1` monad,
which produces a singleton sequence. -/
def ret (a : α) : seq1 α := (a, nil)
instance [inhabited α] : inhabited (seq1 α) := ⟨ret (default _)⟩
/-- The `bind` operator for the `seq1` monad,
which maps `f` on each element of `s` and appends the results together.
(Not all of `s` may be evaluated, because the first few elements of `s`
may already produce an infinite result.) -/
def bind (s : seq1 α) (f : α → seq1 β) : seq1 β :=
join (map f s)
@[simp] theorem join_map_ret (s : seq α) : seq.join (seq.map ret s) = s :=
by apply coinduction2 s; intro s; apply cases_on s; simp [ret]
@[simp] theorem bind_ret (f : α → β) : ∀ s, bind s (ret ∘ f) = map f s
| ⟨a, s⟩ := begin
dsimp [bind, map], change (λx, ret (f x)) with (ret ∘ f),
rw [map_comp], simp [function.comp, ret]
end
@[simp] theorem ret_bind (a : α) (f : α → seq1 β) : bind (ret a) f = f a :=
begin
simp [ret, bind, map],
cases f a with a s,
apply cases_on s; intros; simp
end
@[simp] theorem map_join' (f : α → β) (S) :
seq.map f (seq.join S) = seq.join (seq.map (map f) S) :=
begin
apply eq_of_bisim (λs1 s2,
∃ s S, s1 = append s (seq.map f (seq.join S)) ∧
s2 = append s (seq.join (seq.map (map f) S))),
{ intros s1 s2 h, exact match s1, s2, h with ._, ._, ⟨s, S, rfl, rfl⟩ := begin
apply cases_on s; simp,
{ apply cases_on S; simp,
{ intros x S, cases x with a s; simp [map],
exact ⟨_, _, rfl, rfl⟩ } },
{ intros x s, refine ⟨s, S, rfl, rfl⟩ }
end end },
{ refine ⟨nil, S, _, _⟩; simp }
end
@[simp] theorem map_join (f : α → β) : ∀ S, map f (join S) = join (map (map f) S)
| ((a, s), S) := by apply cases_on s; intros; simp [map]
@[simp] theorem join_join (SS : seq (seq1 (seq1 α))) :
seq.join (seq.join SS) = seq.join (seq.map join SS) :=
begin
apply eq_of_bisim (λs1 s2,
∃ s SS, s1 = seq.append s (seq.join (seq.join SS)) ∧
s2 = seq.append s (seq.join (seq.map join SS))),
{ intros s1 s2 h, exact match s1, s2, h with ._, ._, ⟨s, SS, rfl, rfl⟩ := begin
apply cases_on s; simp,
{ apply cases_on SS; simp,
{ intros S SS, cases S with s S; cases s with x s; simp [map],
apply cases_on s; simp,
{ exact ⟨_, _, rfl, rfl⟩ },
{ intros x s,
refine ⟨cons x (append s (seq.join S)), SS, _, _⟩; simp } } },
{ intros x s, exact ⟨s, SS, rfl, rfl⟩ }
end end },
{ refine ⟨nil, SS, _, _⟩; simp }
end
@[simp] theorem bind_assoc (s : seq1 α) (f : α → seq1 β) (g : β → seq1 γ) :
bind (bind s f) g = bind s (λ (x : α), bind (f x) g) :=
begin
cases s with a s,
simp [bind, map],
rw [←map_comp],
change (λ x, join (map g (f x))) with (join ∘ ((map g) ∘ f)),
rw [map_comp _ join],
generalize : seq.map (map g ∘ f) s = SS,
rcases map g (f a) with ⟨⟨a, s⟩, S⟩,
apply cases_on s; intros; apply cases_on S; intros; simp,
{ cases x with x t, apply cases_on t; intros; simp },
{ cases x_1 with y t; simp }
end
instance : monad seq1 :=
{ map := @map,
pure := @ret,
bind := @bind }
instance : is_lawful_monad seq1 :=
{ id_map := @map_id,
bind_pure_comp_eq_map := @bind_ret,
pure_bind := @ret_bind,
bind_assoc := @bind_assoc }
end seq1
|
51fe13ef14bcc6a9b9c6a388521f9016bd6beec8 | 74addaa0e41490cbaf2abd313a764c96df57b05d | /Mathlib/Lean3Lib/init/core_auto.lean | a5098fe803144f21910e856be05ee761efd0fd96 | [] | no_license | AurelienSaue/Mathlib4_auto | f538cfd0980f65a6361eadea39e6fc639e9dae14 | 590df64109b08190abe22358fabc3eae000943f2 | refs/heads/master | 1,683,906,849,776 | 1,622,564,669,000 | 1,622,564,669,000 | 371,723,747 | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 18,576 | lean | /-
Copyright (c) 2014 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Leonardo de Moura
notation, basic datatypes and type classes
-/
import Mathlib.PrePort
universes u l v w u_1 u_2 u₁ u₂ u₃
namespace Mathlib
/- Reserving notation. We do this so that the precedence of all of the operators
can be seen in one place and to prevent core notation being accidentally overloaded later. -/
/- Notation for logical operations and relations -/
/- types and type constructors -/
/- arithmetic operations -/
/- boolean operations -/
/- set operations -/
/- other symbols -/
/--
The kernel definitional equality test (t =?= s) has special support for id_delta applications.
It implements the following rules
1) (id_delta t) =?= t
2) t =?= (id_delta t)
3) (id_delta t) =?= s IF (unfold_of t) =?= s
4) t =?= id_delta s IF t =?= (unfold_of s)
This is mechanism for controlling the delta reduction (aka unfolding) used in the kernel.
We use id_delta applications to address performance problems when type checking
lemmas generated by the equation compiler.
-/
def id_delta {α : Sort u} (a : α) : α := a
/-- Gadget for optional parameter support. -/
def opt_param (α : Sort u) (default : α) := α
/-- Gadget for marking output parameters in type classes. -/
def out_param (α : Sort u) := α
/-
id_rhs is an auxiliary declaration used in the equation compiler to address performance
issues when proving equational lemmas. The equation compiler uses it as a marker.
-/
def id_rhs (α : Sort u) (a : α) : α := a
not found
/-- An abbreviation for `punit.{0}`, its most common instantiation.
This type should be preferred over `punit` where possible to avoid
unnecessary universe parameters. -/
def unit := PUnit
def unit.star : Unit := PUnit.unit
/--
Gadget for defining thunks, thunk parameters have special treatment.
Example: given
def f (s : string) (t : thunk nat) : nat
an application
f "hello" 10
is converted into
f "hello" (λ _, 10)
-/
def thunk (α : Type u) := Unit → α
not found
not found
inductive empty where
/--
Logical not.
`not P`, with notation `¬ P`, is the `Prop` which is true if and only if `P` is false. It is
internally represented as `P → false`, so one way to prove a goal `⊢ ¬ P` is to use `intro h`,
which gives you a new hypothesis `h : P` and the goal `⊢ false`.
A hypothesis `h : ¬ P` can be used in term mode as a function, so if `w : P` then `h w : false`.
Related mathlib tactic: `contrapose`.
-/
def not (a : Prop) := a → False
prefix:40 "¬" => Mathlib.not
not found
/-
Initialize the quotient module, which effectively adds the following definitions:
constant quot {α : Sort u} (r : α → α → Prop) : Sort u
constant quot.mk {α : Sort u} (r : α → α → Prop) (a : α) : quot r
constant quot.lift {α : Sort u} {r : α → α → Prop} {β : Sort v} (f : α → β) :
(∀ a b : α, r a b → eq (f a) (f b)) → quot r → β
constant quot.ind {α : Sort u} {r : α → α → Prop} {β : quot r → Prop} :
(∀ a : α, β (quot.mk r a)) → ∀ q : quot r, β q
Also the reduction rule:
quot.lift f _ (quot.mk a) ~~> f a
-/
/--
Heterogeneous equality.
Its purpose is to write down equalities between terms whose types are not definitionally equal.
For example, given `x : vector α n` and `y : vector α (0+n)`, `x = y` doesn't typecheck but `x == y` does.
If you have a goal `⊢ x == y`,
your first instinct should be to ask (either yourself, or on [zulip](https://leanprover.zulipchat.com/))
if something has gone wrong already.
If you really do need to follow this route,
you may find the lemmas `eq_rec_heq` and `eq_mpr_heq` useful.
-/
not found
not found
/-- Similar to `prod`, but α and β can be propositions.
We use this type internally to automatically generate the brec_on recursor. -/
not found
/--
Logical and.
`and P Q`, with notation `P ∧ Q`, is the `Prop` which is true precisely when `P` and `Q` are
both true.
To prove a goal `⊢ P ∧ Q`, you can use the tactic `split`,
which gives two separate goals `⊢ P` and `⊢ Q`.
Given a hypothesis `h : P ∧ Q`, you can use the tactic `cases h with hP hQ`
to obtain two new hypotheses `hP : P` and `hQ : Q`. See also the `obtain` or `rcases` tactics in
mathlib.
-/
not found
def and.elim_left {a : Prop} {b : Prop} (h : a ∧ b) : a := and.left h
def and.elim_right {a : Prop} {b : Prop} (h : a ∧ b) : b := and.right h
infixl:50 " = " => Mathlib.eq
/- eq basic support -/
def rfl {α : Sort u} {a : α} : a = a := Eq.refl a
theorem eq.subst {α : Sort u} {P : α → Prop} {a : α} {b : α} (h₁ : a = b) (h₂ : P a) : P b :=
Eq._oldrec h₂ h₁
infixr:75 " ▸ " => Mathlib.eq.subst
theorem eq.trans {α : Sort u} {a : α} {b : α} {c : α} (h₁ : a = b) (h₂ : b = c) : a = c := h₂ ▸ h₁
theorem eq.symm {α : Sort u} {a : α} {b : α} (h : a = b) : b = a := h ▸ rfl
infixl:50 " == " => Mathlib.heq
def heq.rfl {α : Sort u} {a : α} : a == a := HEq.refl a
theorem eq_of_heq {α : Sort u} {a : α} {a' : α} (h : a == a') : a = a' :=
(fun (this : ∀ (α' : Sort u) (a' : α'), a == a' → ∀ (h₂ : α = α'), eq.rec_on h₂ a = a') =>
(fun (this : eq.rec_on (Eq.refl α) a = a') => this) (this α a' h (Eq.refl α)))
fun (α' : Sort u) (a' : α') (h₁ : a == a') => heq.rec_on h₁ fun (h₂ : α = α) => rfl
/- The following four lemmas could not be automatically generated when the
structures were declared, so we prove them manually here. -/
theorem prod.mk.inj {α : Type u} {β : Type v} {x₁ : α} {y₁ : β} {x₂ : α} {y₂ : β} :
(x₁, y₁) = (x₂, y₂) → x₁ = x₂ ∧ y₁ = y₂ :=
fun (h : (x₁, y₁) = (x₂, y₂)) =>
prod.no_confusion h fun (h₁ : x₁ = x₂) (h₂ : y₁ = y₂) => { left := h₁, right := h₂ }
theorem prod.mk.inj_arrow {α : Type u} {β : Type v} {x₁ : α} {y₁ : β} {x₂ : α} {y₂ : β} :
(x₁, y₁) = (x₂, y₂) → {P : Sort w} → (x₁ = x₂ → y₁ = y₂ → P) → P :=
fun (h₁ : (x₁, y₁) = (x₂, y₂)) (_x : Sort w) (h₂ : x₁ = x₂ → y₁ = y₂ → _x) =>
prod.no_confusion h₁ h₂
theorem pprod.mk.inj {α : Sort u} {β : Sort v} {x₁ : α} {y₁ : β} {x₂ : α} {y₂ : β} :
{ fst := x₁, snd := y₁ } = { fst := x₂, snd := y₂ } → x₁ = x₂ ∧ y₁ = y₂ :=
fun (h : { fst := x₁, snd := y₁ } = { fst := x₂, snd := y₂ }) =>
pprod.no_confusion h fun (h₁ : x₁ = x₂) (h₂ : y₁ = y₂) => { left := h₁, right := h₂ }
theorem pprod.mk.inj_arrow {α : Type u} {β : Type v} {x₁ : α} {y₁ : β} {x₂ : α} {y₂ : β} :
(x₁, y₁) = (x₂, y₂) → {P : Sort w} → (x₁ = x₂ → y₁ = y₂ → P) → P :=
fun (h₁ : (x₁, y₁) = (x₂, y₂)) (_x : Sort w) (h₂ : x₁ = x₂ → y₁ = y₂ → _x) =>
prod.no_confusion h₁ h₂
inductive sum (α : Type u) (β : Type v) where
| inl : α → sum α β
| inr : β → sum α β
inductive psum (α : Sort u) (β : Sort v) where
| inl : α → psum α β
| inr : β → psum α β
/--
Logical or.
`or P Q`, with notation `P ∨ Q`, is the proposition which is true if and only if `P` or `Q` is
true.
To prove a goal `⊢ P ∨ Q`, if you know which alternative you want to prove,
you can use the tactics `left` (which gives the goal `⊢ P`)
or `right` (which gives the goal `⊢ Q`).
Given a hypothesis `h : P ∨ Q` and goal `⊢ R`,
the tactic `cases h` will give you two copies of the goal `⊢ R`,
with the hypothesis `h : P` in the first, and the hypothesis `h : Q` in the second.
-/
not found
def or.intro_left {a : Prop} (b : Prop) (ha : a) : a ∨ b := Or.inl ha
def or.intro_right (a : Prop) {b : Prop} (hb : b) : a ∨ b := Or.inr hb
structure sigma {α : Type u} (β : α → Type v) where
fst : α
snd : β fst
structure psigma {α : Sort u} (β : α → Sort v) where
fst : α
snd : β fst
not found
/- Remark: subtype must take a Sort instead of Type because of the axiom strong_indefinite_description. -/
not found
not found
def decidable_pred {α : Sort u} (r : α → Prop) := (a : α) → Decidable (r a)
def decidable_rel {α : Sort u} (r : α → α → Prop) := (a b : α) → Decidable (r a b)
def decidable_eq (α : Sort u) := DecidableRel Eq
not found
not found
infixr:67 " :: " => Mathlib.list.cons
not found
structure unification_constraint where
α : Type u
lhs : α
rhs : α
infixl:50 " ≟ " => Mathlib.unification_constraint.mk
infixl:50 " =?= " => Mathlib.unification_constraint.mk
structure unification_hint where
pattern : unification_constraint
constraints : List unification_constraint
/- Declare builtin and reserved notation -/
not found
not found
not found
not found
class has_inv (α : Type u) where
inv : α → α
not found
not found
not found
class has_dvd (α : Type u) where
dvd : α → α → Prop
not found
not found
not found
not found
class has_andthen (α : Type u) (β : Type v) (σ : outParam (Type w)) where
andthen : α → β → σ
class has_union (α : Type u) where
union : α → α → α
class has_inter (α : Type u) where
inter : α → α → α
class has_sdiff (α : Type u) where
sdiff : α → α → α
class has_equiv (α : Sort u) where
equiv : α → α → Prop
class has_subset (α : Type u) where
subset : α → α → Prop
/- Type classes has_emptyc and has_insert are
class has_ssubset (α : Type u) where
ssubset : α → α → Prop
used to implement polymorphic notation for collections.
Example: {a, b, c}. -/
class has_emptyc (α : Type u) where
emptyc : α
class has_insert (α : outParam (Type u)) (γ : Type v) where
insert : α → γ → γ
/- Type class used to implement the notation { a ∈ c | p a } -/
class has_singleton (α : outParam (Type u)) (β : Type v) where
singleton : α → β
class has_sep (α : outParam (Type u)) (γ : Type v) where
sep : (α → Prop) → γ → γ
/- Type class for set-like membership -/
class has_mem (α : outParam (Type u)) (γ : Type v) where
mem : α → γ → Prop
class has_pow (α : Type u) (β : Type v) where
pow : α → β → α
infixl:50 " ∈ " => Mathlib.has_mem.mem
infixl:65 " + " => Mathlib.has_add.add
infixl:70 " * " => Mathlib.has_mul.mul
infixl:65 " - " => Mathlib.has_sub.sub
infixl:70 " / " => Mathlib.has_div.div
infixl:50 " ∣ " => Mathlib.has_dvd.dvd
infixl:70 " % " => Mathlib.has_mod.mod
prefix:75 "-" => Mathlib.has_neg.neg
infixl:50 " <= " => Mathlib.has_le.le
infixl:50 " ≤ " => Mathlib.has_le.le
infixl:50 " < " => Mathlib.has_lt.lt
infixl:65 " ++ " => Mathlib.has_append.append
infixl:1 "; " => Mathlib.has_andthen.andthen
notation:1024 "∅" => Mathlib.has_emptyc.emptyc
infixl:65 " ∪ " => Mathlib.has_union.union
infixl:70 " ∩ " => Mathlib.has_inter.inter
infixl:50 " ⊆ " => Mathlib.has_subset.subset
infixl:50 " ⊂ " => Mathlib.has_ssubset.ssubset
infixl:70 " \ " => Mathlib.has_sdiff.sdiff
infixl:50 " ≈ " => Mathlib.has_equiv.equiv
infixr:80 " ^ " => Mathlib.has_pow.pow
def ge {α : Type u} [HasLessEq α] (a : α) (b : α) := b ≤ a
def gt {α : Type u} [HasLess α] (a : α) (b : α) := b < a
infixl:50 " >= " => Mathlib.ge
infixl:50 " ≥ " => Mathlib.ge
infixl:50 " > " => Mathlib.gt
def superset {α : Type u} [has_subset α] (a : α) (b : α) := b ⊆ a
def ssuperset {α : Type u} [has_ssubset α] (a : α) (b : α) := b ⊂ a
infixl:50 " ⊇ " => Mathlib.superset
infixl:50 " ⊃ " => Mathlib.ssuperset
def bit0 {α : Type u} [s : Add α] (a : α) : α := a + a
def bit1 {α : Type u} [s₁ : HasOne α] [s₂ : Add α] (a : α) : α := bit0 a + 1
class is_lawful_singleton (α : Type u) (β : Type v) [has_emptyc β] [has_insert α β]
[has_singleton α β]
where
insert_emptyc_eq : ∀ (x : α), insert x ∅ = has_singleton.singleton x
/- nat basic instances -/
namespace nat
protected def add : Nat → Nat → Nat := Nat.add
end nat
protected instance nat.has_zero : HasZero Nat := { zero := 0 }
protected instance nat.has_one : HasOne Nat := { one := 1 }
protected instance nat.has_add : Add Nat := { add := Nat.add }
def std.priority.default : Nat := bit0 (bit0 (bit0 (bit1 (bit0 (bit1 (bit1 (bit1 (bit1 1))))))))
def std.priority.max : Nat :=
bit1
(bit1
(bit1
(bit1
(bit1
(bit1
(bit1
(bit1
(bit1
(bit1
(bit1
(bit1
(bit1
(bit1
(bit1
(bit1
(bit1
(bit1
(bit1
(bit1
(bit1
(bit1
(bit1
(bit1
(bit1
(bit1
(bit1
(bit1
(bit1
(bit1
(bit1 1))))))))))))))))))))))))))))))
namespace nat
end nat
protected def nat.prio : Nat := std.priority.default + bit0 (bit0 (bit1 (bit0 (bit0 (bit1 1)))))
/-
Global declarations of right binding strength
If a module reassigns these, it will be incompatible with other modules that adhere to these
conventions.
When hovering over a symbol, use "C-c C-k" to see how to input it.
-/
def std.prec.max : Nat := bit0 (bit0 (bit0 (bit0 (bit0 (bit0 (bit0 (bit0 (bit0 (bit0 1)))))))))
def std.prec.arrow : Nat := bit1 (bit0 (bit0 (bit1 1)))
/-
The next def is "max + 10". It can be used e.g. for postfix operations that should
be stronger than application.
-/
def std.prec.max_plus : Nat := std.prec.max + bit0 (bit1 (bit0 1))
postfix:0 "⁻¹" => Mathlib.has_inv.inv
infixr:35 " × " => Mathlib.prod
-- notation for n-ary tuples
/- sizeof -/
not found
def sizeof {α : Sort u} [s : SizeOf α] : α → Nat := has_sizeof.sizeof
/-
Declare sizeof instances and lemmas for types declared before has_sizeof.
From now on, the inductive compiler will automatically generate sizeof instances and lemmas.
-/
/- Every type `α` has a default has_sizeof instance that just returns 0 for every element of `α` -/
protected def default.sizeof (α : Sort u) : α → Nat := sorry
protected instance default_has_sizeof (α : Sort u) : SizeOf α := { sizeOf := default.sizeof α }
protected def nat.sizeof : Nat → Nat := sorry
protected instance nat.has_sizeof : SizeOf Nat := { sizeOf := nat.sizeof }
protected def prod.sizeof {α : Type u} {β : Type v} [SizeOf α] [SizeOf β] : α × β → Nat := sorry
protected instance prod.has_sizeof (α : Type u) (β : Type v) [SizeOf α] [SizeOf β] :
SizeOf (α × β) :=
{ sizeOf := prod.sizeof }
protected def sum.sizeof {α : Type u} {β : Type v} [SizeOf α] [SizeOf β] : sum α β → Nat := sorry
protected instance sum.has_sizeof (α : Type u) (β : Type v) [SizeOf α] [SizeOf β] :
SizeOf (sum α β) :=
{ sizeOf := sum.sizeof }
protected def psum.sizeof {α : Type u} {β : Type v} [SizeOf α] [SizeOf β] : psum α β → Nat := sorry
protected instance psum.has_sizeof (α : Type u) (β : Type v) [SizeOf α] [SizeOf β] :
SizeOf (psum α β) :=
{ sizeOf := psum.sizeof }
protected def sigma.sizeof {α : Type u} {β : α → Type v} [SizeOf α] [(a : α) → SizeOf (β a)] :
sigma β → Nat :=
sorry
protected instance sigma.has_sizeof (α : Type u) (β : α → Type v) [SizeOf α]
[(a : α) → SizeOf (β a)] : SizeOf (sigma β) :=
{ sizeOf := sigma.sizeof }
protected def psigma.sizeof {α : Type u} {β : α → Type v} [SizeOf α] [(a : α) → SizeOf (β a)] :
psigma β → Nat :=
sorry
protected instance psigma.has_sizeof (α : Type u) (β : α → Type v) [SizeOf α]
[(a : α) → SizeOf (β a)] : SizeOf (psigma β) :=
{ sizeOf := psigma.sizeof }
protected def punit.sizeof : PUnit → Nat := sorry
protected instance punit.has_sizeof : SizeOf PUnit := { sizeOf := punit.sizeof }
protected def bool.sizeof : Bool → Nat := sorry
protected instance bool.has_sizeof : SizeOf Bool := { sizeOf := bool.sizeof }
protected def option.sizeof {α : Type u} [SizeOf α] : Option α → Nat := sorry
protected instance option.has_sizeof (α : Type u) [SizeOf α] : SizeOf (Option α) :=
{ sizeOf := option.sizeof }
protected def list.sizeof {α : Type u} [SizeOf α] : List α → Nat := sorry
protected instance list.has_sizeof (α : Type u) [SizeOf α] : SizeOf (List α) :=
{ sizeOf := list.sizeof }
protected def subtype.sizeof {α : Type u} [SizeOf α] {p : α → Prop} : Subtype p → Nat := sorry
protected instance subtype.has_sizeof {α : Type u} [SizeOf α] (p : α → Prop) : SizeOf (Subtype p) :=
{ sizeOf := subtype.sizeof }
theorem nat_add_zero (n : Nat) : n + 0 = n := rfl
/- Combinator calculus -/
namespace combinator
def I {α : Type u₁} (a : α) : α := a
def K {α : Type u₁} {β : Type u₂} (a : α) (b : β) : α := a
end combinator
def combinator.S {α : Type u₁} {β : Type u₂} {γ : Type u₃} (x : α → β → γ) (y : α → β) (z : α) :
γ :=
x z (y z)
/-- Auxiliary datatype for #[ ... ] notation.
#[1, 2, 3, 4] is notation for
bin_tree.node
(bin_tree.node (bin_tree.leaf 1) (bin_tree.leaf 2))
(bin_tree.node (bin_tree.leaf 3) (bin_tree.leaf 4))
We use this notation to input long sequences without exhausting the system stack space.
Later, we define a coercion from `bin_tree` into `list`.
-/
inductive bin_tree (α : Type u) where
| empty : bin_tree α
| leaf : α → bin_tree α
| node : bin_tree α → bin_tree α → bin_tree α
/- Basic unification hints -/
def add_succ_defeq_succ_add_hint (x : Nat) (y : Nat) (z : Nat) : unification_hint :=
unification_hint.mk (x + Nat.succ y =?= Nat.succ z) [z =?= x + y]
/-- Like `by apply_instance`, but not dependent on the tactic framework. -/
def infer_instance {α : Sort u} [i : α] : α := i
end Mathlib |
f1803584e0b87529fdd1a61c8beb94345139f6e9 | 586535ff9853f5b85dc5fdeb5b78f1ad2d573a6e | /src/compiler.lean | 1372e0a95caa588d233e8a0f57dcfec5ffa2c75e | [
"Apache-2.0"
] | permissive | Kha/rc-correctness | fede4ae228c5f04985cf332e718a5a433230b150 | be5a521f1b0528ccbc685619b265cd11ea854edf | refs/heads/master | 1,595,967,325,275 | 1,568,889,756,000 | 1,568,889,756,000 | 209,523,947 | 0 | 0 | Apache-2.0 | 1,568,888,337,000 | 1,568,888,336,000 | null | UTF-8 | Lean | false | false | 2,370 | lean | import type_system
namespace rc_correctness
open rc_correctness.expr
open rc_correctness.fn_body
open rc_correctness.ob_lin_type
def inc_𝕆 (x : var) (V : finset var) (F : fn_body) (βₗ : var → ob_lin_type) : fn_body :=
if βₗ x = 𝕆 ∧ x ∉ V then F else inc x; F
def dec_𝕆_var (x : var) (F : fn_body) (βₗ : var → ob_lin_type) : fn_body :=
if βₗ x = 𝕆 ∧ x ∉ FV F then dec x; F else F
def dec_𝕆 (xs : list var) (F : fn_body) (βₗ : var → ob_lin_type) : fn_body :=
xs.foldr (λ x acc, dec_𝕆_var x acc βₗ) F
def dec_𝕆' (xs : list var) (F : fn_body) (βₗ : var → ob_lin_type) : fn_body :=
xs.foldr (λ x acc, if βₗ x = 𝕆 ∧ x ∉ FV F then dec x; acc else acc) F
def C_app : list (var × ob_lin_type) → fn_body → (var → ob_lin_type) → fn_body
| [] (z ≔ e; F) βₗ := z ≔ e; F
| ((y, t)::xs) (z ≔ e; F) βₗ :=
if t = 𝕆 then
let ys := xs.map (λ ⟨x, b⟩, x) in
inc_𝕆 y (ys.to_finset ∪ FV F) (C_app xs (z ≔ e; F) βₗ) βₗ
else
C_app xs (z ≔ e; dec_𝕆_var y F βₗ) βₗ
| xs F βₗ := F
def C (β : const → var → ob_lin_type) : fn_body → (var → ob_lin_type) → fn_body
| (ret x) βₗ := inc_𝕆 x ∅ (ret x) βₗ
| (case x of Fs) βₗ :=
case x of Fs.map_wf (λ F h, dec_𝕆 ((FV (case x of Fs)).sort var_le) (C F βₗ) βₗ)
| (y ≔ x[i]; F) βₗ :=
if βₗ x = 𝕆 then
y ≔ x[i]; inc y; dec_𝕆_var x (C F βₗ) βₗ
else
y ≔ x[i]; C F (βₗ[y ↦ 𝔹])
| (y ≔ reset x; F) βₗ :=
y ≔ reset x; C F βₗ
| (z ≔ c⟦ys…⟧; F) βₗ :=
C_app (ys.map (λ y, ⟨y, β c y⟩)) (z ≔ c⟦ys…⟧; C F βₗ) βₗ
| (z ≔ c⟦ys…, _⟧; F) βₗ :=
C_app (ys.map (λ y, ⟨y, β c y⟩)) (z ≔ c⟦ys…, _⟧; C F βₗ) βₗ
| (z ≔ x⟦y⟧; F) βₗ :=
C_app ([⟨x, 𝕆⟩, ⟨y, 𝕆⟩]) (z ≔ x⟦y⟧; C F βₗ) βₗ
| (z ≔ ⟪ys⟫i; F) βₗ :=
C_app (ys.map (λ y, ⟨y, 𝕆⟩)) (z ≔ ⟪ys⟫i; C F βₗ) βₗ
| (z ≔ reuse x in ⟪ys⟫i; F) βₗ :=
C_app (ys.map (λ y, ⟨y, 𝕆⟩)) (z ≔ reuse x in ⟪ys⟫i; C F βₗ) βₗ
| F βₗ := F
def C_prog (β : const → var → ob_lin_type) (δ : const → fn) (c : const) : fn :=
let (βₗ, f) := (β c, δ c) in ⟨f.ys, dec_𝕆 f.ys (C β f.F βₗ) βₗ⟩
end rc_correctness |
695bc9247674f594003b9779b385320a8451a925 | 6432ea7a083ff6ba21ea17af9ee47b9c371760f7 | /tests/lean/run/monotone.lean | fa130a41be1f025b3aac702af36e9dac40e7e1ee | [
"Apache-2.0",
"LLVM-exception",
"NCSA",
"LGPL-3.0-only",
"LicenseRef-scancode-inner-net-2.0",
"BSD-3-Clause",
"LGPL-2.0-or-later",
"Spencer-94",
"LGPL-2.1-or-later",
"HPND",
"LicenseRef-scancode-pcre",
"ISC",
"LGPL-2.1-only",
"LicenseRef-scancode-other-permissive",
"SunPro",
"CMU-Mach"... | permissive | leanprover/lean4 | 4bdf9790294964627eb9be79f5e8f6157780b4cc | f1f9dc0f2f531af3312398999d8b8303fa5f096b | refs/heads/master | 1,693,360,665,786 | 1,693,350,868,000 | 1,693,350,868,000 | 129,571,436 | 2,827 | 311 | Apache-2.0 | 1,694,716,156,000 | 1,523,760,560,000 | Lean | UTF-8 | Lean | false | false | 1,670 | lean | class Preorder (α : Type u) extends LE α where
le_refl (a : α) : a ≤ a
le_trans {a b c : α} : a ≤ b → b ≤ c → a ≤ c
instance {α : Type u} {β : α → Type v} [(a : α) → Preorder (β a)] : Preorder ((a : α) → β a) where
le f g := ∀ a, f a ≤ g a
le_refl f := fun a => Preorder.le_refl (f a)
le_trans := fun h₁ h₂ a => Preorder.le_trans (h₁ a) (h₂ a)
-- In Lean 3, we defined `monotone` using the strict implicit notation `{{ ... }}`.
-- Implicit lambdas in Lean 4 allow us to use the regular `{...}`
def Monotone [Preorder α] [Preorder β] (f : α → β) :=
∀ {a b}, a ≤ b → f a ≤ f b
theorem monotone_id [Preorder α] : Monotone (α := α) id :=
fun h => h
theorem monotone_id' [Preorder α] : Monotone (α := α) id :=
@fun a b h => h -- `@` disables implicit lambdas
theorem monotone_id'' [Preorder α] : Monotone (α := α) id :=
fun {a b} (h : a ≤ b) => h -- `{a b}` disables implicit lambdas
theorem monotone_const [Preorder α] [Preorder β] (b : β) : Monotone (fun a : α => b) :=
fun _ => Preorder.le_refl b
theorem monotone_comp [Preorder α] [Preorder β] [Preorder γ] {g : β → γ} {f : α → β} (m_g : Monotone g) (m_f : Monotone f) : Monotone (g ∘ f) :=
fun h => m_g (m_f h)
theorem monotone_fun {α : Type u} {β : Type v} [Preorder α] [Preorder γ] {f : α → β → γ} (m : (b : β) → Monotone (fun a => f a b)) : Monotone f :=
fun h b => m b h
theorem ex [Preorder α] {f g h : α → α} (m_h : Monotone h) (m_g : Monotone g) (m_f : Monotone f) : Monotone (h ∘ g ∘ f) :=
monotone_comp m_h (monotone_comp m_g m_f) -- implicit lambdas in action here
|
72a62933f910af95ee589b07991132b47ee82807 | 7cef822f3b952965621309e88eadf618da0c8ae9 | /src/category_theory/conj.lean | a398d505fe0375fff533da46b789faf7607607ab | [
"Apache-2.0"
] | permissive | rmitta/mathlib | 8d90aee30b4db2b013e01f62c33f297d7e64a43d | 883d974b608845bad30ae19e27e33c285200bf84 | refs/heads/master | 1,585,776,832,544 | 1,576,874,096,000 | 1,576,874,096,000 | 153,663,165 | 0 | 2 | Apache-2.0 | 1,544,806,490,000 | 1,539,884,365,000 | Lean | UTF-8 | Lean | false | false | 5,861 | lean | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov
-/
import category_theory.isomorphism data.equiv.basic category_theory.endomorphism algebra.group_power
/-!
# Conjugate morphisms by isomorphisms
An isomorphism `α : X ≅ Y` defines
- a monoid isomorphism `conj : End X ≃* End Y` by `α.conj f = α.inv ≫ f ≫ α.hom`;
- a group isomorphism `conj_Aut : Aut X ≃* Aut Y` by `α.conj_Aut f = α.symm ≪≫ f ≪≫ α`.
For completeness, we also define `hom_congr : (X ≅ X₁) → (Y ≅ Y₁) → (X ⟶ Y) ≃ (X₁ ⟶ Y₁)`, cf. `equiv.arrow_congr`.
-/
universes v u
namespace category_theory
namespace iso
variables {C : Type u} [𝒞 : category.{v} C]
include 𝒞
/- If `X` is isomorphic to `X₁` and `Y` is isomorphic to `Y₁`, then
there is a natural bijection between `X ⟶ Y` and `X₁ ⟶ Y₁`. See also `equiv.arrow_congr`. -/
def hom_congr {X Y X₁ Y₁ : C} (α : X ≅ X₁) (β : Y ≅ Y₁) :
(X ⟶ Y) ≃ (X₁ ⟶ Y₁) :=
{ to_fun := λ f, α.inv ≫ f ≫ β.hom,
inv_fun := λ f, α.hom ≫ f ≫ β.inv,
left_inv := λ f, show α.hom ≫ (α.inv ≫ f ≫ β.hom) ≫ β.inv = f,
by rw [category.assoc, category.assoc, β.hom_inv_id, α.hom_inv_id_assoc, category.comp_id],
right_inv := λ f, show α.inv ≫ (α.hom ≫ f ≫ β.inv) ≫ β.hom = f,
by rw [category.assoc, category.assoc, β.inv_hom_id, α.inv_hom_id_assoc, category.comp_id] }
lemma hom_congr_apply {X Y X₁ Y₁ : C} (α : X ≅ X₁) (β : Y ≅ Y₁) (f : X ⟶ Y) :
α.hom_congr β f = α.inv ≫ f ≫ β.hom :=
rfl
lemma hom_congr_comp {X Y Z X₁ Y₁ Z₁ : C} (α : X ≅ X₁) (β : Y ≅ Y₁) (γ : Z ≅ Z₁)
(f : X ⟶ Y) (g : Y ⟶ Z) :
α.hom_congr γ (f ≫ g) = (α.hom_congr β f) ≫ (hom_congr β γ g) :=
by simp only [hom_congr_apply, category.assoc, β.hom_inv_id_assoc]
@[simp] lemma hom_congr_refl {X Y : C} (f : X ⟶ Y) :
(iso.refl X).hom_congr (iso.refl Y) f = f :=
by simp only [hom_congr_apply, iso.refl, category.comp_id, category.id_comp]
@[simp] lemma hom_congr_trans {X₁ Y₁ X₂ Y₂ X₃ Y₃ : C}
(α₁ : X₁ ≅ X₂) (β₁ : Y₁ ≅ Y₂) (α₂ : X₂ ≅ X₃) (β₂ : Y₂ ≅ Y₃) (f : X₁ ⟶ Y₁) :
(α₁ ≪≫ α₂).hom_congr (β₁ ≪≫ β₂) f = (α₁.hom_congr β₁).trans (α₂.hom_congr β₂) f :=
by simp only [hom_congr_apply, equiv.trans_apply, iso.trans, category.assoc]
@[simp] lemma hom_congr_symm {X₁ Y₁ X₂ Y₂ : C} (α : X₁ ≅ X₂) (β : Y₁ ≅ Y₂) :
(α.hom_congr β).symm = α.symm.hom_congr β.symm :=
rfl
variables {X Y : C} (α : X ≅ Y)
/-- An isomorphism between two objects defines a monoid isomorphism between their
monoid of endomorphisms. -/
def conj : End X ≃* End Y :=
{ map_mul' := λ f g, hom_congr_comp α α α g f,
.. hom_congr α α }
lemma conj_apply (f : End X) : α.conj f = α.inv ≫ f ≫ α.hom := rfl
@[simp] lemma conj_comp (f g : End X) : α.conj (f ≫ g) = (α.conj f) ≫ (α.conj g) :=
is_mul_hom.map_mul α.conj g f
@[simp] lemma conj_id : α.conj (𝟙 X) = 𝟙 Y :=
is_monoid_hom.map_one α.conj
@[simp] lemma refl_conj (f : End X) : (@iso.refl C 𝒞 X).conj f = f :=
by rw [conj_apply, iso.refl_inv, iso.refl_hom, category.id_comp, category.comp_id]
@[simp] lemma trans_conj {Z : C} (β : Y ≅ Z) (f : End X) : (α ≪≫ β).conj f = β.conj (α.conj f) :=
hom_congr_trans α α β β f
@[simp] lemma symm_self_conj (f : End X) : α.symm.conj (α.conj f) = f :=
by rw [← trans_conj, α.self_symm_id, refl_conj]
@[simp] lemma self_symm_conj (f : End Y) : α.conj (α.symm.conj f) = f :=
α.symm.symm_self_conj f
@[simp] lemma conj_pow (f : End X) (n : ℕ) : α.conj (f^n) = (α.conj f)^n :=
is_monoid_hom.map_pow α.conj f n
/-- `conj` defines a group isomorphisms between groups of automorphisms -/
def conj_Aut : Aut X ≃* Aut Y :=
(Aut.units_End_equiv_Aut X).symm.trans $
(units.map_equiv α.conj).trans $
Aut.units_End_equiv_Aut Y
lemma conj_Aut_apply (f : Aut X) : α.conj_Aut f = α.symm ≪≫ f ≪≫ α :=
by cases f; cases α; ext; refl
@[simp] lemma conj_Aut_hom (f : Aut X) : (α.conj_Aut f).hom = α.conj f.hom := rfl
@[simp] lemma trans_conj_Aut {Z : C} (β : Y ≅ Z) (f : Aut X) :
(α ≪≫ β).conj_Aut f = β.conj_Aut (α.conj_Aut f) :=
by simp only [conj_Aut_apply, iso.trans_symm, iso.trans_assoc]
@[simp] lemma conj_Aut_mul (f g : Aut X) : α.conj_Aut (f * g) = α.conj_Aut f * α.conj_Aut g :=
is_mul_hom.map_mul α.conj_Aut f g
@[simp] lemma conj_Aut_trans (f g : Aut X) : α.conj_Aut (f ≪≫ g) = α.conj_Aut f ≪≫ α.conj_Aut g :=
conj_Aut_mul α g f
@[simp] lemma conj_Aut_pow (f : Aut X) (n : ℕ) : α.conj_Aut (f^n) = (α.conj_Aut f)^n :=
is_monoid_hom.map_pow α.conj_Aut f n
@[simp] lemma conj_Aut_gpow (f : Aut X) (n : ℤ) : α.conj_Aut (f^n) = (α.conj_Aut f)^n :=
is_group_hom.map_gpow α.conj_Aut f n
end iso
namespace functor
universes v₁ u₁
variables {C : Type u} [𝒞 : category.{v} C] {D : Type u₁} [𝒟 : category.{v₁} D] (F : C ⥤ D)
include 𝒞 𝒟
lemma map_hom_congr {X Y X₁ Y₁ : C} (α : X ≅ X₁) (β : Y ≅ Y₁) (f : X ⟶ Y) :
F.map (iso.hom_congr α β f) = iso.hom_congr (F.map_iso α) (F.map_iso β) (F.map f) :=
by simp only [iso.hom_congr_apply, F.map_comp, F.map_iso_inv, F.map_iso_hom]
lemma map_conj {X Y : C} (α : X ≅ Y) (f : End X) :
F.map (α.conj f) = (F.map_iso α).conj (F.map f) :=
map_hom_congr F α α f
lemma map_conj_Aut (F : C ⥤ D) {X Y : C} (α : X ≅ Y) (f : Aut X) :
F.map_iso (α.conj_Aut f) = (F.map_iso α).conj_Aut (F.map_iso f) :=
by ext; simp only [map_iso_hom, iso.conj_Aut_hom, F.map_conj]
-- alternative proof: by simp only [iso.conj_Aut_apply, F.map_iso_trans, F.map_iso_symm]
end functor
end category_theory
|
c743df9d65905bda4d38e1f4b3d2fe8363e1b694 | 6432ea7a083ff6ba21ea17af9ee47b9c371760f7 | /doc/metaprogramming-arith.lean | ee1b6c5d92b1585d70a3c6e1fff4429de433a669 | [
"Apache-2.0",
"LLVM-exception",
"NCSA",
"LGPL-3.0-only",
"LicenseRef-scancode-inner-net-2.0",
"BSD-3-Clause",
"LGPL-2.0-or-later",
"Spencer-94",
"LGPL-2.1-or-later",
"HPND",
"LicenseRef-scancode-pcre",
"ISC",
"LGPL-2.1-only",
"LicenseRef-scancode-other-permissive",
"SunPro",
"CMU-Mach"... | permissive | leanprover/lean4 | 4bdf9790294964627eb9be79f5e8f6157780b4cc | f1f9dc0f2f531af3312398999d8b8303fa5f096b | refs/heads/master | 1,693,360,665,786 | 1,693,350,868,000 | 1,693,350,868,000 | 129,571,436 | 2,827 | 311 | Apache-2.0 | 1,694,716,156,000 | 1,523,760,560,000 | Lean | UTF-8 | Lean | false | false | 1,992 | lean | inductive Arith : Type
| add : Arith → Arith → Arith -- e + f
| mul : Arith → Arith → Arith -- e * f
| int : Int → Arith -- constant
| symbol : String → Arith -- variable
declare_syntax_cat arith
syntax num : arith -- int for Arith.int
syntax str : arith -- strings for Arith.symbol
syntax:60 arith:60 "+" arith:61 : arith -- Arith.add
syntax:70 arith:70 "*" arith:71 : arith -- Arith.mul
syntax "(" arith ")" : arith -- parenthesized expressions
-- auxiliary notation for translating `arith` into `term`
syntax "`[Arith| " arith "]" : term
macro_rules
| `(`[Arith| $s:str]) => `(Arith.symbol $s)
| `(`[Arith| $num:num]) => `(Arith.int $num)
| `(`[Arith| $x + $y]) => `(Arith.add `[Arith| $x] `[Arith| $y])
| `(`[Arith| $x * $y]) => `(Arith.mul `[Arith| $x] `[Arith| $y])
| `(`[Arith| ($x)]) => `(`[Arith| $x])
#check `[Arith| "x" * "y"] -- mul
-- Arith.mul (Arith.symbol "x") (Arith.symbol "y")
#check `[Arith| "x" + "y"] -- add
-- Arith.add (Arith.symbol "x") (Arith.symbol "y")
#check `[Arith| "x" + 20] -- symbol + int
-- Arith.add (Arith.symbol "x") (Arith.int 20)
#check `[Arith| "x" + "y" * "z"] -- precedence
-- Arith.add (Arith.symbol "x") (Arith.mul (Arith.symbol "y") (Arith.symbol "z"))
#check `[Arith| "x" * "y" + "z"] -- precedence
-- Arith.add (Arith.mul (Arith.symbol "x") (Arith.symbol "y")) (Arith.symbol "z")
#check `[Arith| ("x" + "y") * "z"] -- parentheses
-- Arith.mul (Arith.add (Arith.symbol "x") (Arith.symbol "y")) (Arith.symbol "z")
syntax ident : arith
macro_rules
| `(`[Arith| $x:ident]) => `(Arith.symbol $(Lean.quote (toString x.getId)))
#check `[Arith| x] -- Arith.symbol "x"
def xPlusY := `[Arith| x + y]
#print xPlusY -- def xPlusY : Arith := Arith.add (Arith.symbol "x") (Arith.symbol "y")
syntax "<[" term "]>" : arith -- escape for embedding terms into `Arith`
macro_rules
| `(`[Arith| <[ $e:term ]>]) => pure e
#check `[Arith| <[ xPlusY ]> + z] -- Arith.add xPlusY (Arith.symbol "z")
|
e0f0940d1ed62c302d2390f2dfd0b1f961db37ab | d406927ab5617694ec9ea7001f101b7c9e3d9702 | /src/data/nat/bitwise.lean | 730cffbe8a5b61a1640211e66bfd5eccc604bb1d | [
"Apache-2.0"
] | permissive | alreadydone/mathlib | dc0be621c6c8208c581f5170a8216c5ba6721927 | c982179ec21091d3e102d8a5d9f5fe06c8fafb73 | refs/heads/master | 1,685,523,275,196 | 1,670,184,141,000 | 1,670,184,141,000 | 287,574,545 | 0 | 0 | Apache-2.0 | 1,670,290,714,000 | 1,597,421,623,000 | Lean | UTF-8 | Lean | false | false | 9,684 | lean | /-
Copyright (c) 2020 Markus Himmel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Markus Himmel
-/
import data.list.basic
import data.nat.bits
import tactic.linarith
/-!
# Bitwise operations on natural numbers
In the first half of this file, we provide theorems for reasoning about natural numbers from their
bitwise properties. In the second half of this file, we show properties of the bitwise operations
`lor`, `land` and `lxor`, which are defined in core.
## Main results
* `eq_of_test_bit_eq`: two natural numbers are equal if they have equal bits at every position.
* `exists_most_significant_bit`: if `n ≠ 0`, then there is some position `i` that contains the most
significant `1`-bit of `n`.
* `lt_of_test_bit`: if `n` and `m` are numbers and `i` is a position such that the `i`-th bit of
of `n` is zero, the `i`-th bit of `m` is one, and all more significant bits are equal, then
`n < m`.
## Future work
There is another way to express bitwise properties of natural number: `digits 2`. The two ways
should be connected.
## Keywords
bitwise, and, or, xor
-/
open function
namespace nat
@[simp] lemma bit_ff : bit ff = bit0 := rfl
@[simp] lemma bit_tt : bit tt = bit1 := rfl
@[simp] lemma bit_eq_zero {n : ℕ} {b : bool} : n.bit b = 0 ↔ n = 0 ∧ b = ff :=
by { cases b; simp [nat.bit0_eq_zero, nat.bit1_ne_zero] }
lemma zero_of_test_bit_eq_ff {n : ℕ} (h : ∀ i, test_bit n i = ff) : n = 0 :=
begin
induction n using nat.binary_rec with b n hn,
{ refl },
{ have : b = ff := by simpa using h 0,
rw [this, bit_ff, bit0_val, hn (λ i, by rw [←h (i + 1), test_bit_succ]), mul_zero] }
end
@[simp] lemma zero_test_bit (i : ℕ) : test_bit 0 i = ff :=
by simp [test_bit]
/-- The ith bit is the ith element of `n.bits`. -/
lemma test_bit_eq_inth (n i : ℕ) : n.test_bit i = n.bits.inth i :=
begin
induction i with i ih generalizing n,
{ simp [test_bit, shiftr, bodd_eq_bits_head, list.inth_zero_eq_head], },
conv_lhs { rw ← bit_decomp n, },
rw [test_bit_succ, ih n.div2, div2_bits_eq_tail],
cases n.bits; simp,
end
/-- Bitwise extensionality: Two numbers agree if they agree at every bit position. -/
lemma eq_of_test_bit_eq {n m : ℕ} (h : ∀ i, test_bit n i = test_bit m i) : n = m :=
begin
induction n using nat.binary_rec with b n hn generalizing m,
{ simp only [zero_test_bit] at h,
exact (zero_of_test_bit_eq_ff (λ i, (h i).symm)).symm },
induction m using nat.binary_rec with b' m hm,
{ simp only [zero_test_bit] at h,
exact zero_of_test_bit_eq_ff h },
suffices h' : n = m,
{ rw [h', show b = b', by simpa using h 0] },
exact hn (λ i, by convert h (i + 1) using 1; rw test_bit_succ)
end
lemma exists_most_significant_bit {n : ℕ} (h : n ≠ 0) :
∃ i, test_bit n i = tt ∧ ∀ j, i < j → test_bit n j = ff :=
begin
induction n using nat.binary_rec with b n hn,
{ exact false.elim (h rfl) },
by_cases h' : n = 0,
{ subst h',
rw (show b = tt, by { revert h, cases b; simp }),
refine ⟨0, ⟨by rw [test_bit_zero], λ j hj, _⟩⟩,
obtain ⟨j', rfl⟩ := exists_eq_succ_of_ne_zero (ne_of_gt hj),
rw [test_bit_succ, zero_test_bit] },
{ obtain ⟨k, ⟨hk, hk'⟩⟩ := hn h',
refine ⟨k + 1, ⟨by rw [test_bit_succ, hk], λ j hj, _⟩⟩,
obtain ⟨j', rfl⟩ := exists_eq_succ_of_ne_zero (show j ≠ 0, by linarith),
exact (test_bit_succ _ _ _).trans (hk' _ (lt_of_succ_lt_succ hj)) }
end
lemma lt_of_test_bit {n m : ℕ} (i : ℕ) (hn : test_bit n i = ff) (hm : test_bit m i = tt)
(hnm : ∀ j, i < j → test_bit n j = test_bit m j) : n < m :=
begin
induction n using nat.binary_rec with b n hn' generalizing i m,
{ contrapose! hm,
rw le_zero_iff at hm,
simp [hm] },
induction m using nat.binary_rec with b' m hm' generalizing i,
{ exact false.elim (bool.ff_ne_tt ((zero_test_bit i).symm.trans hm)) },
by_cases hi : i = 0,
{ subst hi,
simp only [test_bit_zero] at hn hm,
have : n = m,
{ exact eq_of_test_bit_eq (λ i, by convert hnm (i + 1) dec_trivial using 1; rw test_bit_succ) },
rw [hn, hm, this, bit_ff, bit_tt, bit0_val, bit1_val],
exact lt_add_one _ },
{ obtain ⟨i', rfl⟩ := exists_eq_succ_of_ne_zero hi,
simp only [test_bit_succ] at hn hm,
have := hn' _ hn hm (λ j hj, by convert hnm j.succ (succ_lt_succ hj) using 1; rw test_bit_succ),
cases b; cases b';
simp only [bit_ff, bit_tt, bit0_val n, bit1_val n, bit0_val m, bit1_val m];
linarith }
end
@[simp]
lemma test_bit_two_pow_self (n : ℕ) : test_bit (2 ^ n) n = tt :=
by rw [test_bit, shiftr_eq_div_pow, nat.div_self (pow_pos zero_lt_two n), bodd_one]
lemma test_bit_two_pow_of_ne {n m : ℕ} (hm : n ≠ m) : test_bit (2 ^ n) m = ff :=
begin
rw [test_bit, shiftr_eq_div_pow],
cases hm.lt_or_lt with hm hm,
{ rw [nat.div_eq_zero, bodd_zero],
exact nat.pow_lt_pow_of_lt_right one_lt_two hm },
{ rw [pow_div hm.le zero_lt_two, ← tsub_add_cancel_of_le (succ_le_of_lt $ tsub_pos_of_lt hm)],
simp [pow_succ] }
end
lemma test_bit_two_pow (n m : ℕ) : test_bit (2 ^ n) m = (n = m) :=
begin
by_cases n = m,
{ cases h,
simp },
{ rw test_bit_two_pow_of_ne h,
simp [h] }
end
/-- If `f` is a commutative operation on bools such that `f ff ff = ff`, then `bitwise f` is also
commutative. -/
lemma bitwise_comm {f : bool → bool → bool} (hf : ∀ b b', f b b' = f b' b)
(hf' : f ff ff = ff) (n m : ℕ) : bitwise f n m = bitwise f m n :=
suffices bitwise f = swap (bitwise f), by conv_lhs { rw this },
calc bitwise f = bitwise (swap f) : congr_arg _ $ funext $ λ _, funext $ hf _
... = swap (bitwise f) : bitwise_swap hf'
lemma lor_comm (n m : ℕ) : lor n m = lor m n := bitwise_comm bool.bor_comm rfl n m
lemma land_comm (n m : ℕ) : land n m = land m n := bitwise_comm bool.band_comm rfl n m
lemma lxor_comm (n m : ℕ) : lxor n m = lxor m n := bitwise_comm bool.bxor_comm rfl n m
@[simp] lemma zero_lxor (n : ℕ) : lxor 0 n = n := by simp [lxor]
@[simp] lemma lxor_zero (n : ℕ) : lxor n 0 = n := by simp [lxor]
@[simp] lemma zero_land (n : ℕ) : land 0 n = 0 := by simp [land]
@[simp] lemma land_zero (n : ℕ) : land n 0 = 0 := by simp [land]
@[simp] lemma zero_lor (n : ℕ) : lor 0 n = n := by simp [lor]
@[simp] lemma lor_zero (n : ℕ) : lor n 0 = n := by simp [lor]
/-- Proving associativity of bitwise operations in general essentially boils down to a huge case
distinction, so it is shorter to use this tactic instead of proving it in the general case. -/
meta def bitwise_assoc_tac : tactic unit :=
`[induction n using nat.binary_rec with b n hn generalizing m k,
{ simp },
induction m using nat.binary_rec with b' m hm,
{ simp },
induction k using nat.binary_rec with b'' k hk;
simp [hn]]
lemma lxor_assoc (n m k : ℕ) : lxor (lxor n m) k = lxor n (lxor m k) := by bitwise_assoc_tac
lemma land_assoc (n m k : ℕ) : land (land n m) k = land n (land m k) := by bitwise_assoc_tac
lemma lor_assoc (n m k : ℕ) : lor (lor n m) k = lor n (lor m k) := by bitwise_assoc_tac
@[simp] lemma lxor_self (n : ℕ) : lxor n n = 0 :=
zero_of_test_bit_eq_ff $ λ i, by simp
-- These lemmas match `mul_inv_cancel_right` and `mul_inv_cancel_left`.
lemma lxor_cancel_right (n m : ℕ) : lxor (lxor m n) n = m :=
by rw [lxor_assoc, lxor_self, lxor_zero]
lemma lxor_cancel_left (n m : ℕ) : lxor n (lxor n m) = m :=
by rw [←lxor_assoc, lxor_self, zero_lxor]
lemma lxor_right_injective {n : ℕ} : function.injective (lxor n) :=
λ m m' h, by rw [←lxor_cancel_left n m, ←lxor_cancel_left n m', h]
lemma lxor_left_injective {n : ℕ} : function.injective (λ m, lxor m n) :=
λ m m' (h : lxor m n = lxor m' n), by rw [←lxor_cancel_right n m, ←lxor_cancel_right n m', h]
@[simp] lemma lxor_right_inj {n m m' : ℕ} : lxor n m = lxor n m' ↔ m = m' :=
lxor_right_injective.eq_iff
@[simp] lemma lxor_left_inj {n m m' : ℕ} : lxor m n = lxor m' n ↔ m = m' :=
lxor_left_injective.eq_iff
@[simp] lemma lxor_eq_zero {n m : ℕ} : lxor n m = 0 ↔ n = m :=
by rw [←lxor_self n, lxor_right_inj, eq_comm]
lemma lxor_ne_zero {n m : ℕ} : lxor n m ≠ 0 ↔ n ≠ m := lxor_eq_zero.not
lemma lxor_trichotomy {a b c : ℕ} (h : a ≠ lxor b c) :
lxor b c < a ∨ lxor a c < b ∨ lxor a b < c :=
begin
set v := lxor a (lxor b c) with hv,
-- The xor of any two of `a`, `b`, `c` is the xor of `v` and the third.
have hab : lxor a b = lxor c v,
{ rw hv, conv_rhs { rw lxor_comm, simp [lxor_assoc] } },
have hac : lxor a c = lxor b v,
{ rw hv,
conv_rhs { congr, skip, rw lxor_comm },
rw [←lxor_assoc, ←lxor_assoc, lxor_self, zero_lxor, lxor_comm] },
have hbc : lxor b c = lxor a v,
{ simp [hv, ←lxor_assoc] },
-- If `i` is the position of the most significant bit of `v`, then at least one of `a`, `b`, `c`
-- has a one bit at position `i`.
obtain ⟨i, ⟨hi, hi'⟩⟩ := exists_most_significant_bit (lxor_ne_zero.2 h),
have : test_bit a i = tt ∨ test_bit b i = tt ∨ test_bit c i = tt,
{ contrapose! hi,
simp only [eq_ff_eq_not_eq_tt, ne, test_bit_lxor] at ⊢ hi,
rw [hi.1, hi.2.1, hi.2.2, bxor_ff, bxor_ff] },
-- If, say, `a` has a one bit at position `i`, then `a xor v` has a zero bit at position `i`, but
-- the same bits as `a` in positions greater than `j`, so `a xor v < a`.
rcases this with h|h|h;
[{ left, rw hbc }, { right, left, rw hac }, { right, right, rw hab }];
exact lt_of_test_bit i (by simp [h, hi]) h (λ j hj, by simp [hi' _ hj])
end
lemma lt_lxor_cases {a b c : ℕ} (h : a < lxor b c) : lxor a c < b ∨ lxor a b < c :=
(or_iff_right $ λ h', (h.asymm h').elim).1 $ lxor_trichotomy h.ne
end nat
|
5ec5d137b770e7ac5693273c9bbebf7d40afc3a1 | 2eab05920d6eeb06665e1a6df77b3157354316ad | /src/topology/separation.lean | 0b584b05ac7b665a5fe08c0ceeb5df186b9a6efd | [
"Apache-2.0"
] | permissive | ayush1801/mathlib | 78949b9f789f488148142221606bf15c02b960d2 | ce164e28f262acbb3de6281b3b03660a9f744e3c | refs/heads/master | 1,692,886,907,941 | 1,635,270,866,000 | 1,635,270,866,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 60,593 | lean | /-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Mario Carneiro
-/
import topology.subset_properties
import topology.connected
/-!
# Separation properties of topological spaces.
This file defines the predicate `separated`, and common separation axioms
(under the Kolmogorov classification).
## Main definitions
* `separated`: Two `set`s are separated if they are contained in disjoint open sets.
* `t0_space`: A T₀/Kolmogorov space is a space where, for every two points `x ≠ y`,
there is an open set that contains one, but not the other.
* `t1_space`: A T₁/Fréchet space is a space where every singleton set is closed.
This is equivalent to, for every pair `x ≠ y`, there existing an open set containing `x`
but not `y` (`t1_iff_exists_open` shows that these conditions are equivalent.)
* `t2_space`: A T₂/Hausdorff space is a space where, for every two points `x ≠ y`,
there is two disjoint open sets, one containing `x`, and the other `y`.
* `t2_5_space`: A T₂.₅/Urysohn space is a space where, for every two points `x ≠ y`,
there is two open sets, one containing `x`, and the other `y`, whose closures are disjoint.
* `regular_space`: A T₃ space (sometimes referred to as regular, but authors vary on
whether this includes T₂; `mathlib` does), is one where given any closed `C` and `x ∉ C`,
there is disjoint open sets containing `x` and `C` respectively. In `mathlib`, T₃ implies T₂.₅.
* `normal_space`: A T₄ space (sometimes referred to as normal, but authors vary on
whether this includes T₂; `mathlib` does), is one where given two disjoint closed sets,
we can find two open sets that separate them. In `mathlib`, T₄ implies T₃.
## Main results
### T₀ spaces
* `is_closed.exists_closed_singleton` Given a closed set `S` in a compact T₀ space,
there is some `x ∈ S` such that `{x}` is closed.
* `exists_open_singleton_of_open_finset` Given an open `finset` `S` in a T₀ space,
there is some `x ∈ S` such that `{x}` is open.
### T₁ spaces
* `is_closed_map_const`: The constant map is a closed map.
* `discrete_of_t1_of_finite`: A finite T₁ space must have the discrete topology.
### T₂ spaces
* `t2_iff_nhds`: A space is T₂ iff the neighbourhoods of distinct points generate the bottom filter.
* `t2_iff_is_closed_diagonal`: A space is T₂ iff the `diagonal` of `α` (that is, the set of all
points of the form `(a, a) : α × α`) is closed under the product topology.
* `finset_disjoing_finset_opens_of_t2`: Any two disjoint finsets are `separated`.
* Most topological constructions preserve Hausdorffness;
these results are part of the typeclass inference system (e.g. `embedding.t2_space`)
* `set.eq_on.closure`: If two functions are equal on some set `s`, they are equal on its closure.
* `is_compact.is_closed`: All compact sets are closed.
* `locally_compact_of_compact_nhds`: If every point has a compact neighbourhood,
then the space is locally compact.
* `tot_sep_of_zero_dim`: If `α` has a clopen basis, it is a `totally_separated_space`.
* `loc_compact_t2_tot_disc_iff_tot_sep`: A locally compact T₂ space is totally disconnected iff
it is totally separated.
If the space is also compact:
* `normal_of_compact_t2`: A compact T₂ space is a `normal_space`.
* `connected_components_eq_Inter_clopen`: The connected component of a point
is the intersection of all its clopen neighbourhoods.
* `compact_t2_tot_disc_iff_tot_sep`: Being a `totally_disconnected_space`
is equivalent to being a `totally_separated_space`.
* `connected_components.t2`: `connected_components α` is T₂ for `α` T₂ and compact.
### T₃ spaces
* `disjoint_nested_nhds`: Given two points `x ≠ y`, we can find neighbourhoods `x ∈ V₁ ⊆ U₁` and
`y ∈ V₂ ⊆ U₂`, with the `Vₖ` closed and the `Uₖ` open, such that the `Uₖ` are disjoint.
### Discrete spaces
* `discrete_topology_iff_nhds`: Discrete topological spaces are those whose neighbourhood
filters are the `pure` filter (which is the principal filter at a singleton).
* `induced_bot`/`discrete_topology_induced`: The pullback of the discrete topology
under an inclusion is the discrete topology.
## References
https://en.wikipedia.org/wiki/Separation_axiom
-/
open set filter
open_locale topological_space filter classical
universes u v
variables {α : Type u} {β : Type v} [topological_space α]
section separation
/--
`separated` is a predicate on pairs of sub`set`s of a topological space. It holds if the two
sub`set`s are contained in disjoint open sets.
-/
def separated : set α → set α → Prop :=
λ (s t : set α), ∃ U V : (set α), (is_open U) ∧ is_open V ∧
(s ⊆ U) ∧ (t ⊆ V) ∧ disjoint U V
namespace separated
open separated
@[symm] lemma symm {s t : set α} : separated s t → separated t s :=
λ ⟨U, V, oU, oV, aU, bV, UV⟩, ⟨V, U, oV, oU, bV, aU, disjoint.symm UV⟩
lemma comm (s t : set α) : separated s t ↔ separated t s :=
⟨symm, symm⟩
lemma empty_right (a : set α) : separated a ∅ :=
⟨_, _, is_open_univ, is_open_empty, λ a h, mem_univ a, λ a h, by cases h, disjoint_empty _⟩
lemma empty_left (a : set α) : separated ∅ a :=
(empty_right _).symm
lemma union_left {a b c : set α} : separated a c → separated b c → separated (a ∪ b) c :=
λ ⟨U, V, oU, oV, aU, bV, UV⟩ ⟨W, X, oW, oX, aW, bX, WX⟩,
⟨U ∪ W, V ∩ X, is_open.union oU oW, is_open.inter oV oX,
union_subset_union aU aW, subset_inter bV bX, set.disjoint_union_left.mpr
⟨disjoint_of_subset_right (inter_subset_left _ _) UV,
disjoint_of_subset_right (inter_subset_right _ _) WX⟩⟩
lemma union_right {a b c : set α} (ab : separated a b) (ac : separated a c) :
separated a (b ∪ c) :=
(ab.symm.union_left ac.symm).symm
end separated
/-- A T₀ space, also known as a Kolmogorov space, is a topological space
where for every pair `x ≠ y`, there is an open set containing one but not the other. -/
class t0_space (α : Type u) [topological_space α] : Prop :=
(t0 : ∀ x y, x ≠ y → ∃ U:set α, is_open U ∧ (xor (x ∈ U) (y ∈ U)))
/-- Given a closed set `S` in a compact T₀ space,
there is some `x ∈ S` such that `{x}` is closed. -/
theorem is_closed.exists_closed_singleton {α : Type*} [topological_space α]
[t0_space α] [compact_space α] {S : set α} (hS : is_closed S) (hne : S.nonempty) :
∃ (x : α), x ∈ S ∧ is_closed ({x} : set α) :=
begin
obtain ⟨V, Vsub, Vne, Vcls, hV⟩ := hS.exists_minimal_nonempty_closed_subset hne,
by_cases hnt : ∃ (x y : α) (hx : x ∈ V) (hy : y ∈ V), x ≠ y,
{ exfalso,
obtain ⟨x, y, hx, hy, hne⟩ := hnt,
obtain ⟨U, hU, hsep⟩ := t0_space.t0 _ _ hne,
have : ∀ (z w : α) (hz : z ∈ V) (hw : w ∈ V) (hz' : z ∈ U) (hw' : ¬ w ∈ U), false,
{ intros z w hz hw hz' hw',
have uvne : (V ∩ Uᶜ).nonempty,
{ use w, simp only [hw, hw', set.mem_inter_eq, not_false_iff, and_self, set.mem_compl_eq], },
specialize hV (V ∩ Uᶜ) (set.inter_subset_left _ _) uvne
(is_closed.inter Vcls (is_closed_compl_iff.mpr hU)),
have : V ⊆ Uᶜ,
{ rw ←hV, exact set.inter_subset_right _ _ },
exact this hz hz', },
cases hsep,
{ exact this x y hx hy hsep.1 hsep.2 },
{ exact this y x hy hx hsep.1 hsep.2 } },
{ push_neg at hnt,
obtain ⟨z, hz⟩ := Vne,
refine ⟨z, Vsub hz, _⟩,
convert Vcls,
ext,
simp only [set.mem_singleton_iff, set.mem_compl_eq],
split,
{ rintro rfl, exact hz, },
{ exact λ hx, hnt x z hx hz, }, },
end
/-- Given an open `finset` `S` in a T₀ space, there is some `x ∈ S` such that `{x}` is open. -/
theorem exists_open_singleton_of_open_finset [t0_space α] (s : finset α) (sne : s.nonempty)
(hso : is_open (s : set α)) :
∃ x ∈ s, is_open ({x} : set α):=
begin
induction s using finset.strong_induction_on with s ihs,
by_cases hs : set.subsingleton (s : set α),
{ rcases sne with ⟨x, hx⟩,
refine ⟨x, hx, _⟩,
have : (s : set α) = {x}, from hs.eq_singleton_of_mem hx,
rwa this at hso },
{ dunfold set.subsingleton at hs,
push_neg at hs,
rcases hs with ⟨x, hx, y, hy, hxy⟩,
rcases t0_space.t0 x y hxy with ⟨U, hU, hxyU⟩,
wlog H : x ∈ U ∧ y ∉ U := hxyU using [x y, y x],
obtain ⟨z, hzs, hz⟩ : ∃ z ∈ s.filter (λ z, z ∈ U), is_open ({z} : set α),
{ refine ihs _ (finset.filter_ssubset.2 ⟨y, hy, H.2⟩) ⟨x, finset.mem_filter.2 ⟨hx, H.1⟩⟩ _,
rw [finset.coe_filter],
exact is_open.inter hso hU },
exact ⟨z, (finset.mem_filter.1 hzs).1, hz⟩ }
end
theorem exists_open_singleton_of_fintype [t0_space α] [f : fintype α] [ha : nonempty α] :
∃ x:α, is_open ({x}:set α) :=
begin
refine ha.elim (λ x, _),
have : is_open ((finset.univ : finset α) : set α), { simp },
rcases exists_open_singleton_of_open_finset _ ⟨x, finset.mem_univ x⟩ this with ⟨x, _, hx⟩,
exact ⟨x, hx⟩
end
instance subtype.t0_space [t0_space α] {p : α → Prop} : t0_space (subtype p) :=
⟨λ x y hxy, let ⟨U, hU, hxyU⟩ := t0_space.t0 (x:α) y ((not_congr subtype.ext_iff_val).1 hxy) in
⟨(coe : subtype p → α) ⁻¹' U, is_open_induced hU, hxyU⟩⟩
/-- A T₁ space, also known as a Fréchet space, is a topological space
where every singleton set is closed. Equivalently, for every pair
`x ≠ y`, there is an open set containing `x` and not `y`. -/
class t1_space (α : Type u) [topological_space α] : Prop :=
(t1 : ∀x, is_closed ({x} : set α))
lemma is_closed_singleton [t1_space α] {x : α} : is_closed ({x} : set α) :=
t1_space.t1 x
lemma is_open_compl_singleton [t1_space α] {x : α} : is_open ({x}ᶜ : set α) :=
is_closed_singleton.is_open_compl
lemma is_open_ne [t1_space α] {x : α} : is_open {y | y ≠ x} :=
is_open_compl_singleton
lemma ne.nhds_within_compl_singleton [t1_space α] {x y : α} (h : x ≠ y) :
𝓝[{y}ᶜ] x = 𝓝 x :=
is_open_ne.nhds_within_eq h
lemma continuous_within_at_update_of_ne [t1_space α] [decidable_eq α] [topological_space β]
{f : α → β} {s : set α} {x y : α} {z : β} (hne : y ≠ x) :
continuous_within_at (function.update f x z) s y ↔ continuous_within_at f s y :=
eventually_eq.congr_continuous_within_at
(mem_nhds_within_of_mem_nhds $ mem_of_superset (is_open_ne.mem_nhds hne) $
λ y' hy', function.update_noteq hy' _ _)
(function.update_noteq hne _ _)
lemma continuous_on_update_iff [t1_space α] [decidable_eq α] [topological_space β]
{f : α → β} {s : set α} {x : α} {y : β} :
continuous_on (function.update f x y) s ↔
continuous_on f (s \ {x}) ∧ (x ∈ s → tendsto f (𝓝[s \ {x}] x) (𝓝 y)) :=
begin
rw [continuous_on, ← and_forall_ne x, and_comm],
refine and_congr ⟨λ H z hz, _, λ H z hzx hzs, _⟩ (forall_congr $ λ hxs, _),
{ specialize H z hz.2 hz.1,
rw continuous_within_at_update_of_ne hz.2 at H,
exact H.mono (diff_subset _ _) },
{ rw continuous_within_at_update_of_ne hzx,
refine (H z ⟨hzs, hzx⟩).mono_of_mem (inter_mem_nhds_within _ _),
exact is_open_ne.mem_nhds hzx },
{ exact continuous_within_at_update_same }
end
instance subtype.t1_space {α : Type u} [topological_space α] [t1_space α] {p : α → Prop} :
t1_space (subtype p) :=
⟨λ ⟨x, hx⟩, is_closed_induced_iff.2 $ ⟨{x}, is_closed_singleton, set.ext $ λ y,
by simp [subtype.ext_iff_val]⟩⟩
@[priority 100] -- see Note [lower instance priority]
instance t1_space.t0_space [t1_space α] : t0_space α :=
⟨λ x y h, ⟨{z | z ≠ y}, is_open_ne, or.inl ⟨h, not_not_intro rfl⟩⟩⟩
lemma t1_iff_exists_open : t1_space α ↔
∀ (x y), x ≠ y → (∃ (U : set α) (hU : is_open U), x ∈ U ∧ y ∉ U) :=
begin
split,
{ introsI t1 x y hxy,
exact ⟨{y}ᶜ, is_open_compl_iff.mpr (t1_space.t1 y),
mem_compl_singleton_iff.mpr hxy,
not_not.mpr rfl⟩},
{ intro h,
constructor,
intro x,
rw ← is_open_compl_iff,
have p : ⋃₀ {U : set α | (x ∉ U) ∧ (is_open U)} = {x}ᶜ,
{ apply subset.antisymm; intros t ht,
{ rcases ht with ⟨A, ⟨hxA, hA⟩, htA⟩,
rw [mem_compl_eq, mem_singleton_iff],
rintro rfl,
contradiction },
{ obtain ⟨U, hU, hh⟩ := h t x (mem_compl_singleton_iff.mp ht),
exact ⟨U, ⟨hh.2, hU⟩, hh.1⟩}},
rw ← p,
exact is_open_sUnion (λ B hB, hB.2) }
end
lemma compl_singleton_mem_nhds [t1_space α] {x y : α} (h : y ≠ x) : {x}ᶜ ∈ 𝓝 y :=
is_open.mem_nhds is_open_compl_singleton $ by rwa [mem_compl_eq, mem_singleton_iff]
@[simp] lemma closure_singleton [t1_space α] {a : α} :
closure ({a} : set α) = {a} :=
is_closed_singleton.closure_eq
lemma set.subsingleton.closure [t1_space α] {s : set α} (hs : s.subsingleton) :
(closure s).subsingleton :=
hs.induction_on (by simp) $ λ x, by simp
@[simp] lemma subsingleton_closure [t1_space α] {s : set α} :
(closure s).subsingleton ↔ s.subsingleton :=
⟨λ h, h.mono subset_closure, λ h, h.closure⟩
lemma is_closed_map_const {α β} [topological_space α] [topological_space β] [t1_space β] {y : β} :
is_closed_map (function.const α y) :=
begin
apply is_closed_map.of_nonempty, intros s hs h2s, simp_rw [h2s.image_const, is_closed_singleton]
end
lemma finite.is_closed {α} [topological_space α] [t1_space α] {s : set α} (hs : set.finite s) :
is_closed s :=
begin
rw ← bUnion_of_singleton s,
exact is_closed_bUnion hs (λ i hi, is_closed_singleton)
end
lemma bInter_basis_nhds [t1_space α] {ι : Sort*} {p : ι → Prop} {s : ι → set α} {x : α}
(h : (𝓝 x).has_basis p s) : (⋂ i (h : p i), s i) = {x} :=
begin
simp only [eq_singleton_iff_unique_mem, mem_Inter],
refine ⟨λ i hi, mem_of_mem_nhds $ h.mem_of_mem hi, λ y hy, _⟩,
contrapose! hy,
rcases h.mem_iff.1 (compl_singleton_mem_nhds hy.symm) with ⟨i, hi, hsub⟩,
exact ⟨i, hi, λ h, hsub h rfl⟩
end
/-- If the punctured neighborhoods of a point form a nontrivial filter, then any neighborhood is
infinite. -/
lemma infinite_of_mem_nhds {α} [topological_space α] [t1_space α] (x : α) [hx : ne_bot (𝓝[{x}ᶜ] x)]
{s : set α} (hs : s ∈ 𝓝 x) : set.infinite s :=
begin
unfreezingI { contrapose! hx },
rw set.not_infinite at hx,
have A : is_closed (s \ {x}) := finite.is_closed (hx.subset (diff_subset _ _)),
have B : (s \ {x})ᶜ ∈ 𝓝 x,
{ apply is_open.mem_nhds,
{ apply is_open_compl_iff.2 A },
{ simp only [not_true, not_false_iff, mem_diff, and_false, mem_compl_eq, mem_singleton] } },
have C : {x} ∈ 𝓝 x,
{ apply filter.mem_of_superset (filter.inter_mem hs B),
assume y hy,
simp only [mem_singleton_iff, mem_inter_eq, not_and, not_not, mem_diff, mem_compl_eq] at hy,
simp only [hy.right hy.left, mem_singleton] },
have D : {x}ᶜ ∈ 𝓝[{x}ᶜ] x := self_mem_nhds_within,
simpa [← empty_mem_iff_bot] using filter.inter_mem (mem_nhds_within_of_mem_nhds C) D
end
lemma discrete_of_t1_of_finite {X : Type*} [topological_space X] [t1_space X] [fintype X] :
discrete_topology X :=
begin
apply singletons_open_iff_discrete.mp,
intros x,
rw [← is_closed_compl_iff],
exact finite.is_closed (finite.of_fintype _)
end
lemma singleton_mem_nhds_within_of_mem_discrete {s : set α} [discrete_topology s]
{x : α} (hx : x ∈ s) :
{x} ∈ 𝓝[s] x :=
begin
have : ({⟨x, hx⟩} : set s) ∈ 𝓝 (⟨x, hx⟩ : s), by simp [nhds_discrete],
simpa only [nhds_within_eq_map_subtype_coe hx, image_singleton]
using @image_mem_map _ _ _ (coe : s → α) _ this
end
/-- The neighbourhoods filter of `x` within `s`, under the discrete topology, is equal to
the pure `x` filter (which is the principal filter at the singleton `{x}`.) -/
lemma nhds_within_of_mem_discrete {s : set α} [discrete_topology s] {x : α} (hx : x ∈ s) :
𝓝[s] x = pure x :=
le_antisymm (le_pure_iff.2 $ singleton_mem_nhds_within_of_mem_discrete hx) (pure_le_nhds_within hx)
lemma filter.has_basis.exists_inter_eq_singleton_of_mem_discrete
{ι : Type*} {p : ι → Prop} {t : ι → set α} {s : set α} [discrete_topology s] {x : α}
(hb : (𝓝 x).has_basis p t) (hx : x ∈ s) :
∃ i (hi : p i), t i ∩ s = {x} :=
begin
rcases (nhds_within_has_basis hb s).mem_iff.1 (singleton_mem_nhds_within_of_mem_discrete hx)
with ⟨i, hi, hix⟩,
exact ⟨i, hi, subset.antisymm hix $ singleton_subset_iff.2
⟨mem_of_mem_nhds $ hb.mem_of_mem hi, hx⟩⟩
end
/-- A point `x` in a discrete subset `s` of a topological space admits a neighbourhood
that only meets `s` at `x`. -/
lemma nhds_inter_eq_singleton_of_mem_discrete {s : set α} [discrete_topology s]
{x : α} (hx : x ∈ s) :
∃ U ∈ 𝓝 x, U ∩ s = {x} :=
by simpa using (𝓝 x).basis_sets.exists_inter_eq_singleton_of_mem_discrete hx
/-- For point `x` in a discrete subset `s` of a topological space, there is a set `U`
such that
1. `U` is a punctured neighborhood of `x` (ie. `U ∪ {x}` is a neighbourhood of `x`),
2. `U` is disjoint from `s`.
-/
lemma disjoint_nhds_within_of_mem_discrete {s : set α} [discrete_topology s] {x : α} (hx : x ∈ s) :
∃ U ∈ 𝓝[{x}ᶜ] x, disjoint U s :=
let ⟨V, h, h'⟩ := nhds_inter_eq_singleton_of_mem_discrete hx in
⟨{x}ᶜ ∩ V, inter_mem_nhds_within _ h,
(disjoint_iff_inter_eq_empty.mpr (by { rw [inter_assoc, h', compl_inter_self] }))⟩
/-- Let `X` be a topological space and let `s, t ⊆ X` be two subsets. If there is an inclusion
`t ⊆ s`, then the topological space structure on `t` induced by `X` is the same as the one
obtained by the induced topological space structure on `s`. -/
lemma topological_space.subset_trans {X : Type*} [tX : topological_space X]
{s t : set X} (ts : t ⊆ s) :
(subtype.topological_space : topological_space t) =
(subtype.topological_space : topological_space s).induced (set.inclusion ts) :=
begin
change tX.induced ((coe : s → X) ∘ (set.inclusion ts)) =
topological_space.induced (set.inclusion ts) (tX.induced _),
rw ← induced_compose,
end
/-- This lemma characterizes discrete topological spaces as those whose singletons are
neighbourhoods. -/
lemma discrete_topology_iff_nhds {X : Type*} [topological_space X] :
discrete_topology X ↔ (nhds : X → filter X) = pure :=
begin
split,
{ introI hX,
exact nhds_discrete X },
{ intro h,
constructor,
apply eq_of_nhds_eq_nhds,
simp [h, nhds_bot] }
end
/-- The topology pulled-back under an inclusion `f : X → Y` from the discrete topology (`⊥`) is the
discrete topology.
This version does not assume the choice of a topology on either the source `X`
nor the target `Y` of the inclusion `f`. -/
lemma induced_bot {X Y : Type*} {f : X → Y} (hf : function.injective f) :
topological_space.induced f ⊥ = ⊥ :=
eq_of_nhds_eq_nhds (by simp [nhds_induced, ← set.image_singleton, hf.preimage_image, nhds_bot])
/-- The topology induced under an inclusion `f : X → Y` from the discrete topological space `Y`
is the discrete topology on `X`. -/
lemma discrete_topology_induced {X Y : Type*} [tY : topological_space Y] [discrete_topology Y]
{f : X → Y} (hf : function.injective f) : @discrete_topology X (topological_space.induced f tY) :=
begin
constructor,
rw discrete_topology.eq_bot Y,
exact induced_bot hf
end
/-- Let `s, t ⊆ X` be two subsets of a topological space `X`. If `t ⊆ s` and the topology induced
by `X`on `s` is discrete, then also the topology induces on `t` is discrete. -/
lemma discrete_topology.of_subset {X : Type*} [topological_space X] {s t : set X}
(ds : discrete_topology s) (ts : t ⊆ s) :
discrete_topology t :=
begin
rw [topological_space.subset_trans ts, ds.eq_bot],
exact {eq_bot := induced_bot (set.inclusion_injective ts)}
end
/-- A T₂ space, also known as a Hausdorff space, is one in which for every
`x ≠ y` there exists disjoint open sets around `x` and `y`. This is
the most widely used of the separation axioms. -/
class t2_space (α : Type u) [topological_space α] : Prop :=
(t2 : ∀x y, x ≠ y → ∃u v : set α, is_open u ∧ is_open v ∧ x ∈ u ∧ y ∈ v ∧ u ∩ v = ∅)
lemma t2_separation [t2_space α] {x y : α} (h : x ≠ y) :
∃u v : set α, is_open u ∧ is_open v ∧ x ∈ u ∧ y ∈ v ∧ u ∩ v = ∅ :=
t2_space.t2 x y h
@[priority 100] -- see Note [lower instance priority]
instance t2_space.t1_space [t2_space α] : t1_space α :=
⟨λ x, is_open_compl_iff.1 $ is_open_iff_forall_mem_open.2 $ λ y hxy,
let ⟨u, v, hu, hv, hyu, hxv, huv⟩ := t2_separation (mt mem_singleton_of_eq hxy) in
⟨u, λ z hz1 hz2, (ext_iff.1 huv x).1 ⟨mem_singleton_iff.1 hz2 ▸ hz1, hxv⟩, hu, hyu⟩⟩
lemma eq_of_nhds_ne_bot [ht : t2_space α] {x y : α} (h : ne_bot (𝓝 x ⊓ 𝓝 y)) : x = y :=
classical.by_contradiction $ assume : x ≠ y,
let ⟨u, v, hu, hv, hx, hy, huv⟩ := t2_space.t2 x y this in
absurd huv $ (inf_ne_bot_iff.1 h (is_open.mem_nhds hu hx) (is_open.mem_nhds hv hy)).ne_empty
/-- A space is T₂ iff the neighbourhoods of distinct points generate the bottom filter. -/
lemma t2_iff_nhds : t2_space α ↔ ∀ {x y : α}, ne_bot (𝓝 x ⊓ 𝓝 y) → x = y :=
⟨assume h, by exactI λ x y, eq_of_nhds_ne_bot,
assume h, ⟨assume x y xy,
have 𝓝 x ⊓ 𝓝 y = ⊥ := not_ne_bot.1 $ mt h xy,
let ⟨u', hu', v', hv', u'v'⟩ := empty_mem_iff_bot.mpr this,
⟨u, uu', uo, hu⟩ := mem_nhds_iff.mp hu',
⟨v, vv', vo, hv⟩ := mem_nhds_iff.mp hv' in
⟨u, v, uo, vo, hu, hv, by { rw [← subset_empty_iff, u'v'], exact inter_subset_inter uu' vv' }⟩⟩⟩
lemma t2_iff_ultrafilter :
t2_space α ↔ ∀ {x y : α} (f : ultrafilter α), ↑f ≤ 𝓝 x → ↑f ≤ 𝓝 y → x = y :=
t2_iff_nhds.trans $ by simp only [←exists_ultrafilter_iff, and_imp, le_inf_iff, exists_imp_distrib]
lemma is_closed_diagonal [t2_space α] : is_closed (diagonal α) :=
begin
refine is_closed_iff_cluster_pt.mpr _,
rintro ⟨a₁, a₂⟩ h,
refine eq_of_nhds_ne_bot ⟨λ this : 𝓝 a₁ ⊓ 𝓝 a₂ = ⊥, h.ne _⟩,
obtain ⟨t₁, (ht₁ : t₁ ∈ 𝓝 a₁), t₂, (ht₂ : t₂ ∈ 𝓝 a₂), (h' : t₁ ∩ t₂ = ∅)⟩ :=
inf_eq_bot_iff.1 this,
rw [inf_principal_eq_bot, nhds_prod_eq],
apply mem_of_superset (prod_mem_prod ht₁ ht₂),
rintro ⟨x, y⟩ ⟨x_in, y_in⟩ (heq : x = y),
rw ← heq at *,
have : x ∈ t₁ ∩ t₂ := ⟨x_in, y_in⟩,
rwa h' at this
end
lemma t2_iff_is_closed_diagonal : t2_space α ↔ is_closed (diagonal α) :=
begin
split,
{ introI h,
exact is_closed_diagonal },
{ intro h,
constructor,
intros x y hxy,
have : (x, y) ∈ (diagonal α)ᶜ, by rwa [mem_compl_iff],
obtain ⟨t, t_sub, t_op, xyt⟩ : ∃ t ⊆ (diagonal α)ᶜ, is_open t ∧ (x, y) ∈ t :=
is_open_iff_forall_mem_open.mp h.is_open_compl _ this,
rcases is_open_prod_iff.mp t_op x y xyt with ⟨U, V, U_op, V_op, xU, yV, H⟩,
use [U, V, U_op, V_op, xU, yV],
have := subset.trans H t_sub,
rw eq_empty_iff_forall_not_mem,
rintros z ⟨zU, zV⟩,
have : ¬ (z, z) ∈ diagonal α := this (mk_mem_prod zU zV),
exact this rfl },
end
section separated
open separated finset
lemma finset_disjoint_finset_opens_of_t2 [t2_space α] :
∀ (s t : finset α), disjoint s t → separated (s : set α) t :=
begin
refine induction_on_union _ (λ a b hi d, (hi d.symm).symm) (λ a d, empty_right a) (λ a b ab, _) _,
{ obtain ⟨U, V, oU, oV, aU, bV, UV⟩ := t2_separation (finset.disjoint_singleton.1 ab),
refine ⟨U, V, oU, oV, _, _, set.disjoint_iff_inter_eq_empty.mpr UV⟩;
exact singleton_subset_set_iff.mpr ‹_› },
{ intros a b c ac bc d,
apply_mod_cast union_left (ac (disjoint_of_subset_left (a.subset_union_left b) d)) (bc _),
exact disjoint_of_subset_left (a.subset_union_right b) d },
end
lemma point_disjoint_finset_opens_of_t2 [t2_space α] {x : α} {s : finset α} (h : x ∉ s) :
separated ({x} : set α) s :=
by exact_mod_cast finset_disjoint_finset_opens_of_t2 {x} s (finset.disjoint_singleton_left.mpr h)
end separated
@[simp] lemma nhds_eq_nhds_iff {a b : α} [t2_space α] : 𝓝 a = 𝓝 b ↔ a = b :=
⟨assume h, eq_of_nhds_ne_bot $ by rw [h, inf_idem]; exact nhds_ne_bot, assume h, h ▸ rfl⟩
@[simp] lemma nhds_le_nhds_iff {a b : α} [t2_space α] : 𝓝 a ≤ 𝓝 b ↔ a = b :=
⟨assume h, eq_of_nhds_ne_bot $ by rw [inf_of_le_left h]; exact nhds_ne_bot, assume h, h ▸ le_refl _⟩
lemma tendsto_nhds_unique [t2_space α] {f : β → α} {l : filter β} {a b : α}
[ne_bot l] (ha : tendsto f l (𝓝 a)) (hb : tendsto f l (𝓝 b)) : a = b :=
eq_of_nhds_ne_bot $ ne_bot_of_le $ le_inf ha hb
lemma tendsto_nhds_unique' [t2_space α] {f : β → α} {l : filter β} {a b : α}
(hl : ne_bot l) (ha : tendsto f l (𝓝 a)) (hb : tendsto f l (𝓝 b)) : a = b :=
eq_of_nhds_ne_bot $ ne_bot_of_le $ le_inf ha hb
lemma tendsto_nhds_unique_of_eventually_eq [t2_space α] {f g : β → α} {l : filter β} {a b : α}
[ne_bot l] (ha : tendsto f l (𝓝 a)) (hb : tendsto g l (𝓝 b)) (hfg : f =ᶠ[l] g) :
a = b :=
tendsto_nhds_unique (ha.congr' hfg) hb
lemma tendsto_const_nhds_iff [t2_space α] {l : filter α} [ne_bot l] {c d : α} :
tendsto (λ x, c) l (𝓝 d) ↔ c = d :=
⟨λ h, tendsto_nhds_unique (tendsto_const_nhds) h, λ h, h ▸ tendsto_const_nhds⟩
/-- A T₂.₅ space, also known as a Urysohn space, is a topological space
where for every pair `x ≠ y`, there are two open sets, with the intersection of clousures
empty, one containing `x` and the other `y` . -/
class t2_5_space (α : Type u) [topological_space α]: Prop :=
(t2_5 : ∀ x y (h : x ≠ y), ∃ (U V: set α), is_open U ∧ is_open V ∧
closure U ∩ closure V = ∅ ∧ x ∈ U ∧ y ∈ V)
@[priority 100] -- see Note [lower instance priority]
instance t2_5_space.t2_space [t2_5_space α] : t2_space α :=
⟨λ x y hxy,
let ⟨U, V, hU, hV, hUV, hh⟩ := t2_5_space.t2_5 x y hxy in
⟨U, V, hU, hV, hh.1, hh.2, subset_eq_empty (powerset_mono.mpr
(closure_inter_subset_inter_closure U V) subset_closure) hUV⟩⟩
section lim
variables [t2_space α] {f : filter α}
/-!
### Properties of `Lim` and `lim`
In this section we use explicit `nonempty α` instances for `Lim` and `lim`. This way the lemmas
are useful without a `nonempty α` instance.
-/
lemma Lim_eq {a : α} [ne_bot f] (h : f ≤ 𝓝 a) :
@Lim _ _ ⟨a⟩ f = a :=
tendsto_nhds_unique (le_nhds_Lim ⟨a, h⟩) h
lemma Lim_eq_iff [ne_bot f] (h : ∃ (a : α), f ≤ nhds a) {a} : @Lim _ _ ⟨a⟩ f = a ↔ f ≤ 𝓝 a :=
⟨λ c, c ▸ le_nhds_Lim h, Lim_eq⟩
lemma ultrafilter.Lim_eq_iff_le_nhds [compact_space α] {x : α} {F : ultrafilter α} :
F.Lim = x ↔ ↑F ≤ 𝓝 x :=
⟨λ h, h ▸ F.le_nhds_Lim, Lim_eq⟩
lemma is_open_iff_ultrafilter' [compact_space α] (U : set α) :
is_open U ↔ (∀ F : ultrafilter α, F.Lim ∈ U → U ∈ F.1) :=
begin
rw is_open_iff_ultrafilter,
refine ⟨λ h F hF, h F.Lim hF F F.le_nhds_Lim, _⟩,
intros cond x hx f h,
rw [← (ultrafilter.Lim_eq_iff_le_nhds.2 h)] at hx,
exact cond _ hx
end
lemma filter.tendsto.lim_eq {a : α} {f : filter β} [ne_bot f] {g : β → α} (h : tendsto g f (𝓝 a)) :
@lim _ _ _ ⟨a⟩ f g = a :=
Lim_eq h
lemma filter.lim_eq_iff {f : filter β} [ne_bot f] {g : β → α} (h : ∃ a, tendsto g f (𝓝 a)) {a} :
@lim _ _ _ ⟨a⟩ f g = a ↔ tendsto g f (𝓝 a) :=
⟨λ c, c ▸ tendsto_nhds_lim h, filter.tendsto.lim_eq⟩
lemma continuous.lim_eq [topological_space β] {f : β → α} (h : continuous f) (a : β) :
@lim _ _ _ ⟨f a⟩ (𝓝 a) f = f a :=
(h.tendsto a).lim_eq
@[simp] lemma Lim_nhds (a : α) : @Lim _ _ ⟨a⟩ (𝓝 a) = a :=
Lim_eq (le_refl _)
@[simp] lemma lim_nhds_id (a : α) : @lim _ _ _ ⟨a⟩ (𝓝 a) id = a :=
Lim_nhds a
@[simp] lemma Lim_nhds_within {a : α} {s : set α} (h : a ∈ closure s) :
@Lim _ _ ⟨a⟩ (𝓝[s] a) = a :=
by haveI : ne_bot (𝓝[s] a) := mem_closure_iff_cluster_pt.1 h;
exact Lim_eq inf_le_left
@[simp] lemma lim_nhds_within_id {a : α} {s : set α} (h : a ∈ closure s) :
@lim _ _ _ ⟨a⟩ (𝓝[s] a) id = a :=
Lim_nhds_within h
end lim
/-!
### `t2_space` constructions
We use two lemmas to prove that various standard constructions generate Hausdorff spaces from
Hausdorff spaces:
* `separated_by_continuous` says that two points `x y : α` can be separated by open neighborhoods
provided that there exists a continuous map `f : α → β` with a Hausdorff codomain such that
`f x ≠ f y`. We use this lemma to prove that topological spaces defined using `induced` are
Hausdorff spaces.
* `separated_by_open_embedding` says that for an open embedding `f : α → β` of a Hausdorff space
`α`, the images of two distinct points `x y : α`, `x ≠ y` can be separated by open neighborhoods.
We use this lemma to prove that topological spaces defined using `coinduced` are Hausdorff spaces.
-/
@[priority 100] -- see Note [lower instance priority]
instance t2_space_discrete {α : Type*} [topological_space α] [discrete_topology α] : t2_space α :=
{ t2 := assume x y hxy, ⟨{x}, {y}, is_open_discrete _, is_open_discrete _, rfl, rfl,
eq_empty_iff_forall_not_mem.2 $ by intros z hz;
cases eq_of_mem_singleton hz.1; cases eq_of_mem_singleton hz.2; cc⟩ }
lemma separated_by_continuous {α : Type*} {β : Type*}
[topological_space α] [topological_space β] [t2_space β]
{f : α → β} (hf : continuous f) {x y : α} (h : f x ≠ f y) :
∃u v : set α, is_open u ∧ is_open v ∧ x ∈ u ∧ y ∈ v ∧ u ∩ v = ∅ :=
let ⟨u, v, uo, vo, xu, yv, uv⟩ := t2_separation h in
⟨f ⁻¹' u, f ⁻¹' v, uo.preimage hf, vo.preimage hf, xu, yv,
by rw [←preimage_inter, uv, preimage_empty]⟩
lemma separated_by_open_embedding {α β : Type*} [topological_space α] [topological_space β]
[t2_space α] {f : α → β} (hf : open_embedding f) {x y : α} (h : x ≠ y) :
∃ u v : set β, is_open u ∧ is_open v ∧ f x ∈ u ∧ f y ∈ v ∧ u ∩ v = ∅ :=
let ⟨u, v, uo, vo, xu, yv, uv⟩ := t2_separation h in
⟨f '' u, f '' v, hf.is_open_map _ uo, hf.is_open_map _ vo,
mem_image_of_mem _ xu, mem_image_of_mem _ yv, by rw [image_inter hf.inj, uv, image_empty]⟩
instance {α : Type*} {p : α → Prop} [t : topological_space α] [t2_space α] : t2_space (subtype p) :=
⟨assume x y h, separated_by_continuous continuous_subtype_val (mt subtype.eq h)⟩
instance {α : Type*} {β : Type*} [t₁ : topological_space α] [t2_space α]
[t₂ : topological_space β] [t2_space β] : t2_space (α × β) :=
⟨assume ⟨x₁,x₂⟩ ⟨y₁,y₂⟩ h,
or.elim (not_and_distrib.mp (mt prod.ext_iff.mpr h))
(λ h₁, separated_by_continuous continuous_fst h₁)
(λ h₂, separated_by_continuous continuous_snd h₂)⟩
lemma embedding.t2_space [topological_space β] [t2_space β] {f : α → β} (hf : embedding f) :
t2_space α :=
⟨λ x y h, separated_by_continuous hf.continuous (hf.inj.ne h)⟩
instance {α : Type*} {β : Type*} [t₁ : topological_space α] [t2_space α]
[t₂ : topological_space β] [t2_space β] : t2_space (α ⊕ β) :=
begin
constructor,
rintros (x|x) (y|y) h,
{ replace h : x ≠ y := λ c, (c.subst h) rfl,
exact separated_by_open_embedding open_embedding_inl h },
{ exact ⟨_, _, is_open_range_inl, is_open_range_inr, ⟨x, rfl⟩, ⟨y, rfl⟩,
range_inl_inter_range_inr⟩ },
{ exact ⟨_, _, is_open_range_inr, is_open_range_inl, ⟨x, rfl⟩, ⟨y, rfl⟩,
range_inr_inter_range_inl⟩ },
{ replace h : x ≠ y := λ c, (c.subst h) rfl,
exact separated_by_open_embedding open_embedding_inr h }
end
instance Pi.t2_space {α : Type*} {β : α → Type v} [t₂ : Πa, topological_space (β a)]
[∀a, t2_space (β a)] :
t2_space (Πa, β a) :=
⟨assume x y h,
let ⟨i, hi⟩ := not_forall.mp (mt funext h) in
separated_by_continuous (continuous_apply i) hi⟩
instance sigma.t2_space {ι : Type*} {α : ι → Type*} [Πi, topological_space (α i)]
[∀a, t2_space (α a)] :
t2_space (Σi, α i) :=
begin
constructor,
rintros ⟨i, x⟩ ⟨j, y⟩ neq,
rcases em (i = j) with (rfl|h),
{ replace neq : x ≠ y := λ c, (c.subst neq) rfl,
exact separated_by_open_embedding open_embedding_sigma_mk neq },
{ exact ⟨_, _, is_open_range_sigma_mk, is_open_range_sigma_mk, ⟨x, rfl⟩, ⟨y, rfl⟩, by tidy⟩ }
end
variables [topological_space β]
lemma is_closed_eq [t2_space α] {f g : β → α}
(hf : continuous f) (hg : continuous g) : is_closed {x:β | f x = g x} :=
continuous_iff_is_closed.mp (hf.prod_mk hg) _ is_closed_diagonal
/-- If two continuous maps are equal on `s`, then they are equal on the closure of `s`. -/
lemma set.eq_on.closure [t2_space α] {s : set β} {f g : β → α} (h : eq_on f g s)
(hf : continuous f) (hg : continuous g) :
eq_on f g (closure s) :=
closure_minimal h (is_closed_eq hf hg)
/-- If two continuous functions are equal on a dense set, then they are equal. -/
lemma continuous.ext_on [t2_space α] {s : set β} (hs : dense s) {f g : β → α}
(hf : continuous f) (hg : continuous g) (h : eq_on f g s) :
f = g :=
funext $ λ x, h.closure hf hg (hs x)
lemma function.left_inverse.closed_range [t2_space α] {f : α → β} {g : β → α}
(h : function.left_inverse f g) (hf : continuous f) (hg : continuous g) :
is_closed (range g) :=
have eq_on (g ∘ f) id (closure $ range g),
from h.right_inv_on_range.eq_on.closure (hg.comp hf) continuous_id,
is_closed_of_closure_subset $ λ x hx,
calc x = g (f x) : (this hx).symm
... ∈ _ : mem_range_self _
lemma function.left_inverse.closed_embedding [t2_space α] {f : α → β} {g : β → α}
(h : function.left_inverse f g) (hf : continuous f) (hg : continuous g) :
closed_embedding g :=
⟨h.embedding hf hg, h.closed_range hf hg⟩
lemma diagonal_eq_range_diagonal_map {α : Type*} : {p:α×α | p.1 = p.2} = range (λx, (x,x)) :=
ext $ assume p, iff.intro
(assume h, ⟨p.1, prod.ext_iff.2 ⟨rfl, h⟩⟩)
(assume ⟨x, hx⟩, show p.1 = p.2, by rw ←hx)
lemma prod_subset_compl_diagonal_iff_disjoint {α : Type*} {s t : set α} :
set.prod s t ⊆ {p:α×α | p.1 = p.2}ᶜ ↔ s ∩ t = ∅ :=
by rw [eq_empty_iff_forall_not_mem, subset_compl_comm,
diagonal_eq_range_diagonal_map, range_subset_iff]; simp
lemma compact_compact_separated [t2_space α] {s t : set α}
(hs : is_compact s) (ht : is_compact t) (hst : s ∩ t = ∅) :
∃u v : set α, is_open u ∧ is_open v ∧ s ⊆ u ∧ t ⊆ v ∧ u ∩ v = ∅ :=
by simp only [prod_subset_compl_diagonal_iff_disjoint.symm] at ⊢ hst;
exact generalized_tube_lemma hs ht is_closed_diagonal.is_open_compl hst
/-- In a `t2_space`, every compact set is closed. -/
lemma is_compact.is_closed [t2_space α] {s : set α} (hs : is_compact s) : is_closed s :=
is_open_compl_iff.1 $ is_open_iff_forall_mem_open.mpr $ assume x hx,
let ⟨u, v, uo, vo, su, xv, uv⟩ :=
compact_compact_separated hs (is_compact_singleton : is_compact {x})
(by rwa [inter_comm, ←subset_compl_iff_disjoint, singleton_subset_iff]) in
have v ⊆ sᶜ, from
subset_compl_comm.mp (subset.trans su (subset_compl_iff_disjoint.mpr uv)),
⟨v, this, vo, by simpa using xv⟩
@[simp] lemma filter.coclosed_compact_eq_cocompact [t2_space α] :
coclosed_compact α = cocompact α :=
by simp [coclosed_compact, cocompact, infi_and', and_iff_right_of_imp is_compact.is_closed]
/-- If `V : ι → set α` is a decreasing family of compact sets then any neighborhood of
`⋂ i, V i` contains some `V i`. This is a version of `exists_subset_nhd_of_compact'` where we
don't need to assume each `V i` closed because it follows from compactness since `α` is
assumed to be Hausdorff. -/
lemma exists_subset_nhd_of_compact [t2_space α] {ι : Type*} [nonempty ι] {V : ι → set α}
(hV : directed (⊇) V) (hV_cpct : ∀ i, is_compact (V i)) {U : set α}
(hU : ∀ x ∈ ⋂ i, V i, U ∈ 𝓝 x) : ∃ i, V i ⊆ U :=
exists_subset_nhd_of_compact' hV hV_cpct (λ i, (hV_cpct i).is_closed) hU
lemma compact_exhaustion.is_closed [t2_space α] (K : compact_exhaustion α) (n : ℕ) :
is_closed (K n) :=
(K.is_compact n).is_closed
lemma is_compact.inter [t2_space α] {s t : set α} (hs : is_compact s) (ht : is_compact t) :
is_compact (s ∩ t) :=
hs.inter_right $ ht.is_closed
lemma compact_closure_of_subset_compact [t2_space α] {s t : set α} (ht : is_compact t) (h : s ⊆ t) :
is_compact (closure s) :=
compact_of_is_closed_subset ht is_closed_closure (closure_minimal h ht.is_closed)
lemma image_closure_of_compact [t2_space β]
{s : set α} (hs : is_compact (closure s)) {f : α → β} (hf : continuous_on f (closure s)) :
f '' closure s = closure (f '' s) :=
subset.antisymm hf.image_closure $ closure_minimal (image_subset f subset_closure)
(hs.image_of_continuous_on hf).is_closed
/-- If a compact set is covered by two open sets, then we can cover it by two compact subsets. -/
lemma is_compact.binary_compact_cover [t2_space α] {K U V : set α} (hK : is_compact K)
(hU : is_open U) (hV : is_open V) (h2K : K ⊆ U ∪ V) :
∃ K₁ K₂ : set α, is_compact K₁ ∧ is_compact K₂ ∧ K₁ ⊆ U ∧ K₂ ⊆ V ∧ K = K₁ ∪ K₂ :=
begin
rcases compact_compact_separated (hK.diff hU) (hK.diff hV)
(by rwa [diff_inter_diff, diff_eq_empty]) with ⟨O₁, O₂, h1O₁, h1O₂, h2O₁, h2O₂, hO⟩,
refine ⟨_, _, hK.diff h1O₁, hK.diff h1O₂,
by rwa [diff_subset_comm], by rwa [diff_subset_comm], by rw [← diff_inter, hO, diff_empty]⟩
end
lemma continuous.is_closed_map [compact_space α] [t2_space β] {f : α → β} (h : continuous f) :
is_closed_map f :=
λ s hs, (hs.is_compact.image h).is_closed
lemma continuous.closed_embedding [compact_space α] [t2_space β] {f : α → β} (h : continuous f)
(hf : function.injective f) : closed_embedding f :=
closed_embedding_of_continuous_injective_closed h hf h.is_closed_map
section
open finset function
/-- For every finite open cover `Uᵢ` of a compact set, there exists a compact cover `Kᵢ ⊆ Uᵢ`. -/
lemma is_compact.finite_compact_cover [t2_space α] {s : set α} (hs : is_compact s)
{ι} (t : finset ι) (U : ι → set α) (hU : ∀ i ∈ t, is_open (U i)) (hsC : s ⊆ ⋃ i ∈ t, U i) :
∃ K : ι → set α, (∀ i, is_compact (K i)) ∧ (∀i, K i ⊆ U i) ∧ s = ⋃ i ∈ t, K i :=
begin
classical,
induction t using finset.induction with x t hx ih generalizing U hU s hs hsC,
{ refine ⟨λ _, ∅, λ i, is_compact_empty, λ i, empty_subset _, _⟩,
simpa only [subset_empty_iff, Union_false, Union_empty] using hsC },
simp only [finset.set_bUnion_insert] at hsC,
simp only [finset.mem_insert] at hU,
have hU' : ∀ i ∈ t, is_open (U i) := λ i hi, hU i (or.inr hi),
rcases hs.binary_compact_cover (hU x (or.inl rfl)) (is_open_bUnion hU') hsC
with ⟨K₁, K₂, h1K₁, h1K₂, h2K₁, h2K₂, hK⟩,
rcases ih U hU' h1K₂ h2K₂ with ⟨K, h1K, h2K, h3K⟩,
refine ⟨update K x K₁, _, _, _⟩,
{ intros i, by_cases hi : i = x,
{ simp only [update_same, hi, h1K₁] },
{ rw [← ne.def] at hi, simp only [update_noteq hi, h1K] }},
{ intros i, by_cases hi : i = x,
{ simp only [update_same, hi, h2K₁] },
{ rw [← ne.def] at hi, simp only [update_noteq hi, h2K] }},
{ simp only [set_bUnion_insert_update _ hx, hK, h3K] }
end
end
lemma locally_compact_of_compact_nhds [t2_space α] (h : ∀ x : α, ∃ s, s ∈ 𝓝 x ∧ is_compact s) :
locally_compact_space α :=
⟨assume x n hn,
let ⟨u, un, uo, xu⟩ := mem_nhds_iff.mp hn in
let ⟨k, kx, kc⟩ := h x in
-- K is compact but not necessarily contained in N.
-- K \ U is again compact and doesn't contain x, so
-- we may find open sets V, W separating x from K \ U.
-- Then K \ W is a compact neighborhood of x contained in U.
let ⟨v, w, vo, wo, xv, kuw, vw⟩ :=
compact_compact_separated is_compact_singleton (is_compact.diff kc uo)
(by rw [singleton_inter_eq_empty]; exact λ h, h.2 xu) in
have wn : wᶜ ∈ 𝓝 x, from
mem_nhds_iff.mpr
⟨v, subset_compl_iff_disjoint.mpr vw, vo, singleton_subset_iff.mp xv⟩,
⟨k \ w,
filter.inter_mem kx wn,
subset.trans (diff_subset_comm.mp kuw) un,
kc.diff wo⟩⟩
@[priority 100] -- see Note [lower instance priority]
instance locally_compact_of_compact [t2_space α] [compact_space α] : locally_compact_space α :=
locally_compact_of_compact_nhds (assume x, ⟨univ, is_open_univ.mem_nhds trivial, compact_univ⟩)
/-- In a locally compact T₂ space, every point has an open neighborhood with compact closure -/
lemma exists_open_with_compact_closure [locally_compact_space α] [t2_space α] (x : α) :
∃ (U : set α), is_open U ∧ x ∈ U ∧ is_compact (closure U) :=
begin
rcases exists_compact_mem_nhds x with ⟨K, hKc, hxK⟩,
rcases mem_nhds_iff.1 hxK with ⟨t, h1t, h2t, h3t⟩,
exact ⟨t, h2t, h3t, compact_closure_of_subset_compact hKc h1t⟩
end
end separation
section regularity
/-- A T₃ space, also known as a regular space (although this condition sometimes
omits T₂), is one in which for every closed `C` and `x ∉ C`, there exist
disjoint open sets containing `x` and `C` respectively. -/
class regular_space (α : Type u) [topological_space α] extends t0_space α : Prop :=
(regular : ∀{s:set α} {a}, is_closed s → a ∉ s → ∃t, is_open t ∧ s ⊆ t ∧ 𝓝[t] a = ⊥)
@[priority 100] -- see Note [lower instance priority]
instance regular_space.t1_space [regular_space α] : t1_space α :=
begin
rw t1_iff_exists_open,
intros x y hxy,
obtain ⟨U, hU, h⟩ := t0_space.t0 x y hxy,
cases h,
{ exact ⟨U, hU, h⟩ },
{ obtain ⟨R, hR, hh⟩ := regular_space.regular (is_closed_compl_iff.mpr hU) (not_not.mpr h.1),
obtain ⟨V, hV, hhh⟩ := mem_nhds_iff.1 (filter.inf_principal_eq_bot.1 hh.2),
exact ⟨R, hR, hh.1 (mem_compl h.2), hV hhh.2⟩ }
end
lemma nhds_is_closed [regular_space α] {a : α} {s : set α} (h : s ∈ 𝓝 a) :
∃ t ∈ 𝓝 a, t ⊆ s ∧ is_closed t :=
let ⟨s', h₁, h₂, h₃⟩ := mem_nhds_iff.mp h in
have ∃t, is_open t ∧ s'ᶜ ⊆ t ∧ 𝓝[t] a = ⊥,
from regular_space.regular (is_closed_compl_iff.mpr h₂) (not_not_intro h₃),
let ⟨t, ht₁, ht₂, ht₃⟩ := this in
⟨tᶜ,
mem_of_eq_bot $ by rwa [compl_compl],
subset.trans (compl_subset_comm.1 ht₂) h₁,
is_closed_compl_iff.mpr ht₁⟩
lemma closed_nhds_basis [regular_space α] (a : α) :
(𝓝 a).has_basis (λ s : set α, s ∈ 𝓝 a ∧ is_closed s) id :=
⟨λ t, ⟨λ t_in, let ⟨s, s_in, h_st, h⟩ := nhds_is_closed t_in in ⟨s, ⟨s_in, h⟩, h_st⟩,
λ ⟨s, ⟨s_in, hs⟩, hst⟩, mem_of_superset s_in hst⟩⟩
instance subtype.regular_space [regular_space α] {p : α → Prop} : regular_space (subtype p) :=
⟨begin
intros s a hs ha,
rcases is_closed_induced_iff.1 hs with ⟨s, hs', rfl⟩,
rcases regular_space.regular hs' ha with ⟨t, ht, hst, hat⟩,
refine ⟨coe ⁻¹' t, is_open_induced ht, preimage_mono hst, _⟩,
rw [nhds_within, nhds_induced, ← comap_principal, ← comap_inf, ← nhds_within, hat, comap_bot]
end⟩
variable (α)
@[priority 100] -- see Note [lower instance priority]
instance regular_space.t2_space [regular_space α] : t2_space α :=
⟨λ x y hxy,
let ⟨s, hs, hys, hxs⟩ := regular_space.regular is_closed_singleton
(mt mem_singleton_iff.1 hxy),
⟨t, hxt, u, hsu, htu⟩ := empty_mem_iff_bot.2 hxs,
⟨v, hvt, hv, hxv⟩ := mem_nhds_iff.1 hxt in
⟨v, s, hv, hs, hxv, singleton_subset_iff.1 hys,
eq_empty_of_subset_empty $ λ z ⟨hzv, hzs⟩, by { rw htu, exact ⟨hvt hzv, hsu hzs⟩ }⟩⟩
@[priority 100] -- see Note [lower instance priority]
instance regular_space.t2_5_space [regular_space α] : t2_5_space α :=
⟨λ x y hxy,
let ⟨U, V, hU, hV, hh_1, hh_2, hUV⟩ := t2_space.t2 x y hxy,
hxcV := not_not.mpr ((interior_maximal (subset_compl_iff_disjoint.mpr hUV) hU) hh_1),
⟨R, hR, hh⟩ := regular_space.regular is_closed_closure (by rwa closure_eq_compl_interior_compl),
⟨A, hA, hhh⟩ := mem_nhds_iff.1 (filter.inf_principal_eq_bot.1 hh.2) in
⟨A, V, hhh.1, hV, subset_eq_empty ((closure V).inter_subset_inter_left
(subset.trans (closure_minimal hA (is_closed_compl_iff.mpr hR)) (compl_subset_compl.mpr hh.1)))
(compl_inter_self (closure V)), hhh.2, hh_2⟩⟩
variable {α}
/-- Given two points `x ≠ y`, we can find neighbourhoods `x ∈ V₁ ⊆ U₁` and `y ∈ V₂ ⊆ U₂`,
with the `Vₖ` closed and the `Uₖ` open, such that the `Uₖ` are disjoint. -/
lemma disjoint_nested_nhds [regular_space α] {x y : α} (h : x ≠ y) :
∃ (U₁ V₁ ∈ 𝓝 x) (U₂ V₂ ∈ 𝓝 y), is_closed V₁ ∧ is_closed V₂ ∧ is_open U₁ ∧ is_open U₂ ∧
V₁ ⊆ U₁ ∧ V₂ ⊆ U₂ ∧ U₁ ∩ U₂ = ∅ :=
begin
rcases t2_separation h with ⟨U₁, U₂, U₁_op, U₂_op, x_in, y_in, H⟩,
rcases nhds_is_closed (is_open.mem_nhds U₁_op x_in) with ⟨V₁, V₁_in, h₁, V₁_closed⟩,
rcases nhds_is_closed (is_open.mem_nhds U₂_op y_in) with ⟨V₂, V₂_in, h₂, V₂_closed⟩,
use [U₁, V₁, mem_of_superset V₁_in h₁, V₁_in,
U₂, V₂, mem_of_superset V₂_in h₂, V₂_in],
tauto
end
end regularity
section normality
/-- A T₄ space, also known as a normal space (although this condition sometimes
omits T₂), is one in which for every pair of disjoint closed sets `C` and `D`,
there exist disjoint open sets containing `C` and `D` respectively. -/
class normal_space (α : Type u) [topological_space α] extends t1_space α : Prop :=
(normal : ∀ s t : set α, is_closed s → is_closed t → disjoint s t →
∃ u v, is_open u ∧ is_open v ∧ s ⊆ u ∧ t ⊆ v ∧ disjoint u v)
theorem normal_separation [normal_space α] {s t : set α}
(H1 : is_closed s) (H2 : is_closed t) (H3 : disjoint s t) :
∃ u v, is_open u ∧ is_open v ∧ s ⊆ u ∧ t ⊆ v ∧ disjoint u v :=
normal_space.normal s t H1 H2 H3
theorem normal_exists_closure_subset [normal_space α] {s t : set α} (hs : is_closed s)
(ht : is_open t) (hst : s ⊆ t) :
∃ u, is_open u ∧ s ⊆ u ∧ closure u ⊆ t :=
begin
have : disjoint s tᶜ, from λ x ⟨hxs, hxt⟩, hxt (hst hxs),
rcases normal_separation hs (is_closed_compl_iff.2 ht) this
with ⟨s', t', hs', ht', hss', htt', hs't'⟩,
refine ⟨s', hs', hss',
subset.trans (closure_minimal _ (is_closed_compl_iff.2 ht')) (compl_subset_comm.1 htt')⟩,
exact λ x hxs hxt, hs't' ⟨hxs, hxt⟩
end
@[priority 100] -- see Note [lower instance priority]
instance normal_space.regular_space [normal_space α] : regular_space α :=
{ regular := λ s x hs hxs, let ⟨u, v, hu, hv, hsu, hxv, huv⟩ :=
normal_separation hs is_closed_singleton
(λ _ ⟨hx, hy⟩, hxs $ mem_of_eq_of_mem (eq_of_mem_singleton hy).symm hx) in
⟨u, hu, hsu, filter.empty_mem_iff_bot.1 $ filter.mem_inf_iff.2
⟨v, is_open.mem_nhds hv (singleton_subset_iff.1 hxv), u, filter.mem_principal_self u,
by rwa [eq_comm, inter_comm, ← disjoint_iff_inter_eq_empty]⟩⟩ }
-- We can't make this an instance because it could cause an instance loop.
lemma normal_of_compact_t2 [compact_space α] [t2_space α] : normal_space α :=
begin
refine ⟨assume s t hs ht st, _⟩,
simp only [disjoint_iff],
exact compact_compact_separated hs.is_compact ht.is_compact st.eq_bot
end
end normality
/-- In a compact t2 space, the connected component of a point equals the intersection of all
its clopen neighbourhoods. -/
lemma connected_component_eq_Inter_clopen [t2_space α] [compact_space α] {x : α} :
connected_component x = ⋂ Z : {Z : set α // is_clopen Z ∧ x ∈ Z}, Z :=
begin
apply eq_of_subset_of_subset connected_component_subset_Inter_clopen,
-- Reduce to showing that the clopen intersection is connected.
refine is_preconnected.subset_connected_component _ (mem_Inter.2 (λ Z, Z.2.2)),
-- We do this by showing that any disjoint cover by two closed sets implies
-- that one of these closed sets must contain our whole thing.
-- To reduce to the case where the cover is disjoint on all of `α` we need that `s` is closed
have hs : @is_closed _ _inst_1 (⋂ (Z : {Z : set α // is_clopen Z ∧ x ∈ Z}), Z) :=
is_closed_Inter (λ Z, Z.2.1.2),
rw (is_preconnected_iff_subset_of_fully_disjoint_closed hs),
intros a b ha hb hab ab_empty,
haveI := @normal_of_compact_t2 α _ _ _,
-- Since our space is normal, we get two larger disjoint open sets containing the disjoint
-- closed sets. If we can show that our intersection is a subset of any of these we can then
-- "descend" this to show that it is a subset of either a or b.
rcases normal_separation ha hb (disjoint_iff.2 ab_empty) with ⟨u, v, hu, hv, hau, hbv, huv⟩,
-- If we can find a clopen set around x, contained in u ∪ v, we get a disjoint decomposition
-- Z = Z ∩ u ∪ Z ∩ v of clopen sets. The intersection of all clopen neighbourhoods will then lie
-- in whichever of u or v x lies in and hence will be a subset of either a or b.
suffices : ∃ (Z : set α), is_clopen Z ∧ x ∈ Z ∧ Z ⊆ u ∪ v,
{ cases this with Z H,
rw [disjoint_iff_inter_eq_empty] at huv,
have H1 := is_clopen_inter_of_disjoint_cover_clopen H.1 H.2.2 hu hv huv,
rw [union_comm] at H,
have H2 := is_clopen_inter_of_disjoint_cover_clopen H.1 H.2.2 hv hu (inter_comm u v ▸ huv),
by_cases (x ∈ u),
-- The x ∈ u case.
{ left,
suffices : (⋂ (Z : {Z : set α // is_clopen Z ∧ x ∈ Z}), ↑Z) ⊆ u,
{ rw ←set.disjoint_iff_inter_eq_empty at huv,
replace hab : (⋂ (Z : {Z // is_clopen Z ∧ x ∈ Z}), ↑Z) ≤ a ∪ b := hab,
replace this : (⋂ (Z : {Z // is_clopen Z ∧ x ∈ Z}), ↑Z) ≤ u := this,
exact disjoint.left_le_of_le_sup_right hab (huv.mono this hbv) },
{ apply subset.trans _ (inter_subset_right Z u),
apply Inter_subset (λ Z : {Z : set α // is_clopen Z ∧ x ∈ Z}, ↑Z)
⟨Z ∩ u, H1, mem_inter H.2.1 h⟩ } },
-- If x ∉ u, we get x ∈ v since x ∈ u ∪ v. The rest is then like the x ∈ u case.
have h1 : x ∈ v,
{ cases (mem_union x u v).1 (mem_of_subset_of_mem (subset.trans hab
(union_subset_union hau hbv)) (mem_Inter.2 (λ i, i.2.2))) with h1 h1,
{ exfalso, exact h h1},
{ exact h1} },
right,
suffices : (⋂ (Z : {Z : set α // is_clopen Z ∧ x ∈ Z}), ↑Z) ⊆ v,
{ rw [inter_comm, ←set.disjoint_iff_inter_eq_empty] at huv,
replace hab : (⋂ (Z : {Z // is_clopen Z ∧ x ∈ Z}), ↑Z) ≤ a ∪ b := hab,
replace this : (⋂ (Z : {Z // is_clopen Z ∧ x ∈ Z}), ↑Z) ≤ v := this,
exact disjoint.left_le_of_le_sup_left hab (huv.mono this hau) },
{ apply subset.trans _ (inter_subset_right Z v),
apply Inter_subset (λ Z : {Z : set α // is_clopen Z ∧ x ∈ Z}, ↑Z)
⟨Z ∩ v, H2, mem_inter H.2.1 h1⟩ } },
-- Now we find the required Z. We utilize the fact that X \ u ∪ v will be compact,
-- so there must be some finite intersection of clopen neighbourhoods of X disjoint to it,
-- but a finite intersection of clopen sets is clopen so we let this be our Z.
have H1 := ((is_closed_compl_iff.2 (hu.union hv)).is_compact.inter_Inter_nonempty
(λ Z : {Z : set α // is_clopen Z ∧ x ∈ Z}, Z) (λ Z, Z.2.1.2)),
rw [←not_imp_not, not_forall, not_nonempty_iff_eq_empty, inter_comm] at H1,
have huv_union := subset.trans hab (union_subset_union hau hbv),
rw [← compl_compl (u ∪ v), subset_compl_iff_disjoint] at huv_union,
cases H1 huv_union with Zi H2,
refine ⟨(⋂ (U ∈ Zi), subtype.val U), _, _, _⟩,
{ exact is_clopen_bInter (λ Z hZ, Z.2.1) },
{ exact mem_bInter_iff.2 (λ Z hZ, Z.2.2) },
{ rwa [not_nonempty_iff_eq_empty, inter_comm, ←subset_compl_iff_disjoint, compl_compl] at H2 }
end
section profinite
open topological_space
variables [t2_space α]
/-- A Hausdorff space with a clopen basis is totally separated. -/
lemma tot_sep_of_zero_dim (h : is_topological_basis {s : set α | is_clopen s}) :
totally_separated_space α :=
begin
constructor,
rintros x - y - hxy,
obtain ⟨u, v, hu, hv, xu, yv, disj⟩ := t2_separation hxy,
obtain ⟨w, hw : is_clopen w, xw, wu⟩ := (is_topological_basis.mem_nhds_iff h).1
(is_open.mem_nhds hu xu),
refine ⟨w, wᶜ, hw.1, (is_clopen_compl_iff.2 hw).1, xw, _, _, set.inter_compl_self w⟩,
{ intro h,
have : y ∈ u ∩ v := ⟨wu h, yv⟩,
rwa disj at this },
rw set.union_compl_self,
end
variables [compact_space α]
/-- A compact Hausdorff space is totally disconnected if and only if it is totally separated, this
is also true for locally compact spaces. -/
theorem compact_t2_tot_disc_iff_tot_sep :
totally_disconnected_space α ↔ totally_separated_space α :=
begin
split,
{ intro h, constructor,
rintros x - y -,
contrapose!,
intros hyp,
suffices : x ∈ connected_component y,
by simpa [totally_disconnected_space_iff_connected_component_singleton.1 h y,
mem_singleton_iff],
rw [connected_component_eq_Inter_clopen, mem_Inter],
rintro ⟨w : set α, hw : is_clopen w, hy : y ∈ w⟩,
by_contra hx,
simpa using hyp wᶜ w (is_open_compl_iff.mpr hw.2) hw.1 hx hy },
apply totally_separated_space.totally_disconnected_space,
end
variables [totally_disconnected_space α]
lemma nhds_basis_clopen (x : α) : (𝓝 x).has_basis (λ s : set α, x ∈ s ∧ is_clopen s) id :=
⟨λ U, begin
split,
{ have : connected_component x = {x},
from totally_disconnected_space_iff_connected_component_singleton.mp ‹_› x,
rw connected_component_eq_Inter_clopen at this,
intros hU,
let N := {Z // is_clopen Z ∧ x ∈ Z},
suffices : ∃ Z : N, Z.val ⊆ U,
{ rcases this with ⟨⟨s, hs, hs'⟩, hs''⟩,
exact ⟨s, ⟨hs', hs⟩, hs''⟩ },
haveI : nonempty N := ⟨⟨univ, is_clopen_univ, mem_univ x⟩⟩,
have hNcl : ∀ Z : N, is_closed Z.val := (λ Z, Z.property.1.2),
have hdir : directed superset (λ Z : N, Z.val),
{ rintros ⟨s, hs, hxs⟩ ⟨t, ht, hxt⟩,
exact ⟨⟨s ∩ t, hs.inter ht, ⟨hxs, hxt⟩⟩, inter_subset_left s t, inter_subset_right s t⟩ },
have h_nhd: ∀ y ∈ (⋂ Z : N, Z.val), U ∈ 𝓝 y,
{ intros y y_in,
erw [this, mem_singleton_iff] at y_in,
rwa y_in },
exact exists_subset_nhd_of_compact_space hdir hNcl h_nhd },
{ rintro ⟨V, ⟨hxV, V_op, -⟩, hUV : V ⊆ U⟩,
rw mem_nhds_iff,
exact ⟨V, hUV, V_op, hxV⟩ }
end⟩
lemma is_topological_basis_clopen : is_topological_basis {s : set α | is_clopen s} :=
begin
apply is_topological_basis_of_open_of_nhds (λ U (hU : is_clopen U), hU.1),
intros x U hxU U_op,
have : U ∈ 𝓝 x,
from is_open.mem_nhds U_op hxU,
rcases (nhds_basis_clopen x).mem_iff.mp this with ⟨V, ⟨hxV, hV⟩, hVU : V ⊆ U⟩,
use V,
tauto
end
/-- Every member of an open set in a compact Hausdorff totally disconnected space
is contained in a clopen set contained in the open set. -/
lemma compact_exists_clopen_in_open {x : α} {U : set α} (is_open : is_open U) (memU : x ∈ U) :
∃ (V : set α) (hV : is_clopen V), x ∈ V ∧ V ⊆ U :=
(is_topological_basis.mem_nhds_iff is_topological_basis_clopen).1 (is_open.mem_nhds memU)
end profinite
section locally_compact
open topological_space
variables {H : Type*} [topological_space H] [locally_compact_space H] [t2_space H]
/-- A locally compact Hausdorff totally disconnected space has a basis with clopen elements. -/
lemma loc_compact_Haus_tot_disc_of_zero_dim [totally_disconnected_space H] :
is_topological_basis {s : set H | is_clopen s} :=
begin
refine is_topological_basis_of_open_of_nhds (λ u hu, hu.1) _,
rintros x U memU hU,
obtain ⟨s, comp, xs, sU⟩ := exists_compact_subset hU memU,
obtain ⟨t, h, ht, xt⟩ := mem_interior.1 xs,
let u : set s := (coe : s → H)⁻¹' (interior s),
have u_open_in_s : is_open u := is_open_interior.preimage continuous_subtype_coe,
let X : s := ⟨x, h xt⟩,
have Xu : X ∈ u := xs,
haveI : compact_space s := is_compact_iff_compact_space.1 comp,
obtain ⟨V : set s, clopen_in_s, Vx, V_sub⟩ := compact_exists_clopen_in_open u_open_in_s Xu,
have V_clopen : is_clopen ((coe : s → H) '' V),
{ refine ⟨_, (comp.is_closed.closed_embedding_subtype_coe.closed_iff_image_closed).1
clopen_in_s.2⟩,
let v : set u := (coe : u → s)⁻¹' V,
have : (coe : u → H) = (coe : s → H) ∘ (coe : u → s) := rfl,
have f0 : embedding (coe : u → H) := embedding_subtype_coe.comp embedding_subtype_coe,
have f1 : open_embedding (coe : u → H),
{ refine ⟨f0, _⟩,
{ have : set.range (coe : u → H) = interior s,
{ rw [this, set.range_comp, subtype.range_coe, subtype.image_preimage_coe],
apply set.inter_eq_self_of_subset_left interior_subset, },
rw this,
apply is_open_interior } },
have f2 : is_open v := clopen_in_s.1.preimage continuous_subtype_coe,
have f3 : (coe : s → H) '' V = (coe : u → H) '' v,
{ rw [this, image_comp coe coe, subtype.image_preimage_coe,
inter_eq_self_of_subset_left V_sub] },
rw f3,
apply f1.is_open_map v f2 },
refine ⟨coe '' V, V_clopen, by simp [Vx, h xt], _⟩,
transitivity s,
{ simp },
assumption
end
/-- A locally compact Hausdorff space is totally disconnected
if and only if it is totally separated. -/
theorem loc_compact_t2_tot_disc_iff_tot_sep :
totally_disconnected_space H ↔ totally_separated_space H :=
begin
split,
{ introI h,
exact tot_sep_of_zero_dim loc_compact_Haus_tot_disc_of_zero_dim, },
apply totally_separated_space.totally_disconnected_space,
end
end locally_compact
section connected_component_setoid
local attribute [instance] connected_component_setoid
/-- `connected_components α` is Hausdorff when `α` is Hausdorff and compact -/
instance connected_components.t2 [t2_space α] [compact_space α] :
t2_space (connected_components α) :=
begin
-- Proof follows that of: https://stacks.math.columbia.edu/tag/0900
-- Fix 2 distinct connected components, with points a and b
refine ⟨λ x y, quotient.induction_on x (quotient.induction_on y (λ a b ne, _))⟩,
rw connected_component_nrel_iff at ne,
have h := connected_component_disjoint ne,
-- write ⟦b⟧ as the intersection of all clopen subsets containing it
rw [connected_component_eq_Inter_clopen, disjoint_iff_inter_eq_empty, inter_comm] at h,
-- Now we show that this can be reduced to some clopen containing ⟦b⟧ being disjoint to ⟦a⟧
cases is_closed_connected_component.is_compact.elim_finite_subfamily_closed _ _ h
with fin_a ha,
swap, { exact λ Z, Z.2.1.2 },
set U : set α := (⋂ (i : {Z // is_clopen Z ∧ b ∈ Z}) (H : i ∈ fin_a), i) with hU,
rw ←hU at ha,
have hu_clopen : is_clopen U := is_clopen_bInter (λ i j, i.2.1),
-- This clopen and its complement will separate the points corresponding to ⟦a⟧ and ⟦b⟧
use [quotient.mk '' U, quotient.mk '' Uᶜ],
-- Using the fact that clopens are unions of connected components, we show that
-- U and Uᶜ is the preimage of a clopen set in the quotient
have hu : quotient.mk ⁻¹' (quotient.mk '' U) = U :=
(connected_components_preimage_image U ▸ eq.symm) hu_clopen.eq_union_connected_components,
have huc : quotient.mk ⁻¹' (quotient.mk '' Uᶜ) = Uᶜ :=
(connected_components_preimage_image Uᶜ ▸ eq.symm)
(is_clopen.compl hu_clopen).eq_union_connected_components,
-- showing that U and Uᶜ are open and separates ⟦a⟧ and ⟦b⟧
refine ⟨_,_,_,_,_⟩,
{ rw [(quotient_map_iff.1 quotient_map_quotient_mk).2 _, hu],
exact hu_clopen.1 },
{ rw [(quotient_map_iff.1 quotient_map_quotient_mk).2 _, huc],
exact is_open_compl_iff.2 hu_clopen.2 },
{ exact mem_image_of_mem _ (mem_Inter.2 (λ Z, mem_Inter.2 (λ Zmem, Z.2.2))) },
{ apply mem_image_of_mem,
exact mem_of_subset_of_mem (subset_compl_iff_disjoint.2 ha) (@mem_connected_component _ _ a) },
apply preimage_injective.2 (@surjective_quotient_mk _ _),
rw [preimage_inter, preimage_empty, hu, huc, inter_compl_self _],
end
end connected_component_setoid
|
7aad3da3b605e85dcf0b802658643258eea07bf0 | d406927ab5617694ec9ea7001f101b7c9e3d9702 | /src/dynamics/ergodic/conservative.lean | 0835c3ff44a0019dd7ccff048e2cc4f48fea9ebd | [
"Apache-2.0"
] | permissive | alreadydone/mathlib | dc0be621c6c8208c581f5170a8216c5ba6721927 | c982179ec21091d3e102d8a5d9f5fe06c8fafb73 | refs/heads/master | 1,685,523,275,196 | 1,670,184,141,000 | 1,670,184,141,000 | 287,574,545 | 0 | 0 | Apache-2.0 | 1,670,290,714,000 | 1,597,421,623,000 | Lean | UTF-8 | Lean | false | false | 10,038 | lean | /-
Copyright (c) 2021 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov
-/
import measure_theory.constructions.borel_space
import dynamics.ergodic.measure_preserving
import combinatorics.pigeonhole
/-!
# Conservative systems
In this file we define `f : α → α` to be a *conservative* system w.r.t a measure `μ` if `f` is
non-singular (`measure_theory.quasi_measure_preserving`) and for every measurable set `s` of
positive measure at least one point `x ∈ s` returns back to `s` after some number of iterations of
`f`. There are several properties that look like they are stronger than this one but actually follow
from it:
* `measure_theory.conservative.frequently_measure_inter_ne_zero`,
`measure_theory.conservative.exists_gt_measure_inter_ne_zero`: if `μ s ≠ 0`, then for infinitely
many `n`, the measure of `s ∩ (f^[n]) ⁻¹' s` is positive.
* `measure_theory.conservative.measure_mem_forall_ge_image_not_mem_eq_zero`,
`measure_theory.conservative.ae_mem_imp_frequently_image_mem`: a.e. every point of `s` visits `s`
infinitely many times (Poincaré recurrence theorem).
We also prove the topological Poincaré recurrence theorem
`measure_theory.conservative.ae_frequently_mem_of_mem_nhds`. Let `f : α → α` be a conservative
dynamical system on a topological space with second countable topology and measurable open
sets. Then almost every point `x : α` is recurrent: it visits every neighborhood `s ∈ 𝓝 x`
infinitely many times.
## Tags
conservative dynamical system, Poincare recurrence theorem
-/
noncomputable theory
open classical set filter measure_theory finset function topological_space
open_locale classical topological_space
variables {ι : Type*} {α : Type*} [measurable_space α] {f : α → α} {s : set α} {μ : measure α}
namespace measure_theory
open measure
/-- We say that a non-singular (`measure_theory.quasi_measure_preserving`) self-map is
*conservative* if for any measurable set `s` of positive measure there exists `x ∈ s` such that `x`
returns back to `s` under some iteration of `f`. -/
structure conservative (f : α → α) (μ : measure α . volume_tac)
extends quasi_measure_preserving f μ μ : Prop :=
(exists_mem_image_mem : ∀ ⦃s⦄, measurable_set s → μ s ≠ 0 → ∃ (x ∈ s) (m ≠ 0), f^[m] x ∈ s)
/-- A self-map preserving a finite measure is conservative. -/
protected lemma measure_preserving.conservative [is_finite_measure μ]
(h : measure_preserving f μ μ) :
conservative f μ :=
⟨h.quasi_measure_preserving, λ s hsm h0, h.exists_mem_image_mem hsm h0⟩
namespace conservative
/-- The identity map is conservative w.r.t. any measure. -/
protected lemma id (μ : measure α) : conservative id μ :=
{ to_quasi_measure_preserving := quasi_measure_preserving.id μ,
exists_mem_image_mem := λ s hs h0, let ⟨x, hx⟩ := nonempty_of_measure_ne_zero h0 in
⟨x, hx, 1, one_ne_zero, hx⟩ }
/-- If `f` is a conservative map and `s` is a measurable set of nonzero measure, then
for infinitely many values of `m` a positive measure of points `x ∈ s` returns back to `s`
after `m` iterations of `f`. -/
lemma frequently_measure_inter_ne_zero (hf : conservative f μ) (hs : measurable_set s)
(h0 : μ s ≠ 0) :
∃ᶠ m in at_top, μ (s ∩ (f^[m]) ⁻¹' s) ≠ 0 :=
begin
by_contra H, simp only [not_frequently, eventually_at_top, ne.def, not_not] at H,
rcases H with ⟨N, hN⟩,
induction N with N ihN,
{ apply h0, simpa using hN 0 le_rfl },
rw [imp_false] at ihN, push_neg at ihN,
rcases ihN with ⟨n, hn, hμn⟩,
set T := s ∩ ⋃ n ≥ N + 1, (f^[n]) ⁻¹' s,
have hT : measurable_set T,
from hs.inter (measurable_set.bUnion (to_countable _)
(λ _ _, hf.measurable.iterate _ hs)),
have hμT : μ T = 0,
{ convert (measure_bUnion_null_iff $ to_countable _).2 hN,
rw ←inter_Union₂, refl },
have : μ ((s ∩ (f^[n]) ⁻¹' s) \ T) ≠ 0, by rwa [measure_diff_null hμT],
rcases hf.exists_mem_image_mem ((hs.inter (hf.measurable.iterate n hs)).diff hT) this
with ⟨x, ⟨⟨hxs, hxn⟩, hxT⟩, m, hm0, ⟨hxms, hxm⟩, hxx⟩,
refine hxT ⟨hxs, mem_Union₂.2 ⟨n + m, _, _⟩⟩,
{ exact add_le_add hn (nat.one_le_of_lt $ pos_iff_ne_zero.2 hm0) },
{ rwa [set.mem_preimage, ← iterate_add_apply] at hxm }
end
/-- If `f` is a conservative map and `s` is a measurable set of nonzero measure, then
for an arbitrarily large `m` a positive measure of points `x ∈ s` returns back to `s`
after `m` iterations of `f`. -/
lemma exists_gt_measure_inter_ne_zero (hf : conservative f μ) (hs : measurable_set s) (h0 : μ s ≠ 0)
(N : ℕ) :
∃ m > N, μ (s ∩ (f^[m]) ⁻¹' s) ≠ 0 :=
let ⟨m, hm, hmN⟩ :=
((hf.frequently_measure_inter_ne_zero hs h0).and_eventually (eventually_gt_at_top N)).exists
in ⟨m, hmN, hm⟩
/-- Poincaré recurrence theorem: given a conservative map `f` and a measurable set `s`, the set
of points `x ∈ s` such that `x` does not return to `s` after `≥ n` iterations has measure zero. -/
lemma measure_mem_forall_ge_image_not_mem_eq_zero (hf : conservative f μ) (hs : measurable_set s)
(n : ℕ) :
μ {x ∈ s | ∀ m ≥ n, f^[m] x ∉ s} = 0 :=
begin
by_contradiction H,
have : measurable_set (s ∩ {x | ∀ m ≥ n, f^[m] x ∉ s}),
{ simp only [set_of_forall, ← compl_set_of],
exact hs.inter (measurable_set.bInter (to_countable _)
(λ m _, hf.measurable.iterate m hs.compl)) },
rcases (hf.exists_gt_measure_inter_ne_zero this H) n with ⟨m, hmn, hm⟩,
rcases nonempty_of_measure_ne_zero hm with ⟨x, ⟨hxs, hxn⟩, hxm, -⟩,
exact hxn m hmn.lt.le hxm
end
/-- Poincaré recurrence theorem: given a conservative map `f` and a measurable set `s`,
almost every point `x ∈ s` returns back to `s` infinitely many times. -/
lemma ae_mem_imp_frequently_image_mem (hf : conservative f μ) (hs : measurable_set s) :
∀ᵐ x ∂μ, x ∈ s → ∃ᶠ n in at_top, (f^[n] x) ∈ s :=
begin
simp only [frequently_at_top, @forall_swap (_ ∈ s), ae_all_iff],
intro n,
filter_upwards [measure_zero_iff_ae_nmem.1 (hf.measure_mem_forall_ge_image_not_mem_eq_zero hs n)],
simp,
end
lemma inter_frequently_image_mem_ae_eq (hf : conservative f μ) (hs : measurable_set s) :
(s ∩ {x | ∃ᶠ n in at_top, f^[n] x ∈ s} : set α) =ᵐ[μ] s :=
inter_eventually_eq_left.2 $ hf.ae_mem_imp_frequently_image_mem hs
lemma measure_inter_frequently_image_mem_eq (hf : conservative f μ) (hs : measurable_set s) :
μ (s ∩ {x | ∃ᶠ n in at_top, f^[n] x ∈ s}) = μ s :=
measure_congr (hf.inter_frequently_image_mem_ae_eq hs)
/-- Poincaré recurrence theorem: if `f` is a conservative dynamical system and `s` is a measurable
set, then for `μ`-a.e. `x`, if the orbit of `x` visits `s` at least once, then it visits `s`
infinitely many times. -/
lemma ae_forall_image_mem_imp_frequently_image_mem (hf : conservative f μ) (hs : measurable_set s) :
∀ᵐ x ∂μ, ∀ k, f^[k] x ∈ s → ∃ᶠ n in at_top, (f^[n] x) ∈ s :=
begin
refine ae_all_iff.2 (λ k, _),
refine (hf.ae_mem_imp_frequently_image_mem (hf.measurable.iterate k hs)).mono (λ x hx hk, _),
rw [← map_add_at_top_eq_nat k, frequently_map],
refine (hx hk).mono (λ n hn, _),
rwa [add_comm, iterate_add_apply]
end
/-- If `f` is a conservative self-map and `s` is a measurable set of positive measure, then
`μ.ae`-frequently we have `x ∈ s` and `s` returns to `s` under infinitely many iterations of `f`. -/
lemma frequently_ae_mem_and_frequently_image_mem (hf : conservative f μ) (hs : measurable_set s)
(h0 : μ s ≠ 0) :
∃ᵐ x ∂μ, x ∈ s ∧ ∃ᶠ n in at_top, (f^[n] x) ∈ s :=
((frequently_ae_mem_iff.2 h0).and_eventually (hf.ae_mem_imp_frequently_image_mem hs)).mono $ λ x hx,
⟨hx.1, hx.2 hx.1⟩
/-- Poincaré recurrence theorem. Let `f : α → α` be a conservative dynamical system on a topological
space with second countable topology and measurable open sets. Then almost every point `x : α`
is recurrent: it visits every neighborhood `s ∈ 𝓝 x` infinitely many times. -/
lemma ae_frequently_mem_of_mem_nhds [topological_space α] [second_countable_topology α]
[opens_measurable_space α] {f : α → α} {μ : measure α} (h : conservative f μ) :
∀ᵐ x ∂μ, ∀ s ∈ 𝓝 x, ∃ᶠ n in at_top, f^[n] x ∈ s :=
begin
have : ∀ s ∈ countable_basis α, ∀ᵐ x ∂μ, x ∈ s → ∃ᶠ n in at_top, (f^[n] x) ∈ s,
from λ s hs, h.ae_mem_imp_frequently_image_mem
(is_open_of_mem_countable_basis hs).measurable_set,
refine ((ae_ball_iff $ countable_countable_basis α).2 this).mono (λ x hx s hs, _),
rcases (is_basis_countable_basis α).mem_nhds_iff.1 hs with ⟨o, hoS, hxo, hos⟩,
exact (hx o hoS hxo).mono (λ n hn, hos hn)
end
/-- Iteration of a conservative system is a conservative system. -/
protected lemma iterate (hf : conservative f μ) (n : ℕ) : conservative (f^[n]) μ :=
begin
cases n, { exact conservative.id μ }, -- Discharge the trivial case `n = 0`
refine ⟨hf.1.iterate _, λ s hs hs0, _⟩,
rcases (hf.frequently_ae_mem_and_frequently_image_mem hs hs0).exists with ⟨x, hxs, hx⟩,
/- We take a point `x ∈ s` such that `f^[k] x ∈ s` for infinitely many values of `k`,
then we choose two of these values `k < l` such that `k ≡ l [MOD (n + 1)]`.
Then `f^[k] x ∈ s` and `(f^[n + 1])^[(l - k) / (n + 1)] (f^[k] x) = f^[l] x ∈ s`. -/
rw nat.frequently_at_top_iff_infinite at hx,
rcases nat.exists_lt_modeq_of_infinite hx n.succ_pos with ⟨k, hk, l, hl, hkl, hn⟩,
set m := (l - k) / (n + 1),
have : (n + 1) * m = l - k,
{ apply nat.mul_div_cancel',
exact (nat.modeq_iff_dvd' hkl.le).1 hn },
refine ⟨f^[k] x, hk, m, _, _⟩,
{ intro hm,
rw [hm, mul_zero, eq_comm, tsub_eq_zero_iff_le] at this,
exact this.not_lt hkl },
{ rwa [← iterate_mul, this, ← iterate_add_apply, tsub_add_cancel_of_le],
exact hkl.le }
end
end conservative
end measure_theory
|
545e288869c5a414c08aaa4bb57988325c0472b5 | 9ee042bf34eebe0464f0f80c0db14ceb048dab10 | /src/Lean/Widget/InteractiveCode.lean | b3c326374297bc678381bba5cc57c5696f440e36 | [
"Apache-2.0"
] | permissive | dexmagic/lean4 | 7507e7b07dc9f49db45df5ebd011886367dc2a6c | 48764b60d5bac337eaff4bf8a3d63a216e1d9e03 | refs/heads/master | 1,692,156,265,016 | 1,633,276,980,000 | 1,633,339,480,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 4,950 | lean | /-
Copyright (c) 2021 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Wojciech Nawrocki
-/
import Lean.PrettyPrinter
import Lean.Server.Rpc.Basic
import Lean.Widget.TaggedText
/-! RPC infrastructure for storing and formatting code fragments, in particular `Expr`s,
with environment and subexpression information. -/
namespace Lean.Widget
open Server
-- TODO: Some of the `WithBlah` types exist mostly because we cannot derive multi-argument RPC wrappers.
-- They will be gone eventually.
structure InfoWithCtx where
ctx : Elab.ContextInfo
lctx : LocalContext
info : Elab.Info
deriving Inhabited, RpcEncoding with { withRef := true }
structure CodeToken where
info : WithRpcRef InfoWithCtx
-- TODO(WN): add fields for semantic highlighting
-- kind : Lsp.SymbolKind
deriving Inhabited, RpcEncoding
/-- Pretty-printed syntax (usually but not necessarily an `Expr`) with embedded `Info`s. -/
abbrev CodeWithInfos := TaggedText CodeToken
def CodeWithInfos.pretty (tt : CodeWithInfos) :=
tt.stripTags
open Expr in
/-- Find a subexpression of `e` using the pretty-printer address scheme. -/
-- NOTE(WN): not currently in use
partial def traverse (e : Expr) (addr : Nat) : MetaM (LocalContext × Expr):= do
let e ← Meta.instantiateMVars e
go (tritsLE [] addr |>.drop 1) (← getLCtx) e
where
tritsLE (acc : List Nat) (n : Nat) : List Nat :=
if n == 0 then acc
else tritsLE (n % 3 :: acc) (n / 3)
go (addr : List Nat) (lctx : LocalContext) (e : Expr) : MetaM (LocalContext × Expr) := do
match addr with
| [] => (lctx, e)
| a::as => do
let go' (e' : Expr) := do
go as (← getLCtx) e'
let eExpr ← match a, e with
| 0, app e₁ e₂ _ => go' e₁
| 1, app e₁ e₂ _ => go' e₂
| 0, lam _ e₁ e₂ _ => go' e₁
| 1, lam n e₁ e₂ data =>
Meta.withLocalDecl n data.binderInfo e₁ fun fvar =>
go' (e₂.instantiate1 fvar)
| 0, forallE _ e₁ e₂ _ => go' e₁
| 1, forallE n e₁ e₂ data =>
Meta.withLocalDecl n data.binderInfo e₁ fun fvar =>
go' (e₂.instantiate1 fvar)
| 0, letE _ e₁ e₂ e₃ _ => go' e₁
| 1, letE _ e₁ e₂ e₃ _ => go' e₂
| 2, letE n e₁ e₂ e₃ _ =>
Meta.withLetDecl n e₁ e₂ fun fvar => do
go' (e₃.instantiate1 fvar)
| 0, mdata _ e₁ _ => go' e₁
| 0, proj _ _ e₁ _ => go' e₁
| _, _ => (lctx, e) -- panic! s!"cannot descend {a} into {e.expr}"
-- TODO(WN): should the two fns below go in `Lean.PrettyPrinter` ?
open PrettyPrinter in
private def formatWithOpts (e : Expr) (optsPerPos : Delaborator.OptionsPerPos)
: MetaM (Format × Std.RBMap Nat Elab.Info compare) := do
let currNamespace ← getCurrNamespace
let openDecls ← getOpenDecls
let opts ← getOptions
let (stx, infos) ← PrettyPrinter.delabCore currNamespace openDecls e optsPerPos
let stx := sanitizeSyntax stx |>.run' { options := opts }
let stx ← PrettyPrinter.parenthesizeTerm stx
let fmt ← PrettyPrinter.formatTerm stx
return (fmt, infos)
/-- Pretty-print the expression and its subexpression information. -/
def formatInfos (e : Expr) : MetaM (Format × Std.RBMap Nat Elab.Info compare) :=
formatWithOpts e {}
/-- Like `formatInfos` but with `pp.all` set at the top-level expression. -/
def formatExplicitInfos (e : Expr) : MetaM (Format × Std.RBMap Nat Elab.Info compare) :=
let optsPerPos := Std.RBMap.ofList [(1, KVMap.empty.setBool `pp.all true)]
formatWithOpts e optsPerPos
/-- Tags a pretty-printed `Expr` with infos from the delaborator. -/
partial def tagExprInfos (ctx : Elab.ContextInfo) (lctx : LocalContext) (infos : Std.RBMap Nat Elab.Info compare) (tt : TaggedText (Nat × Nat))
: CodeWithInfos :=
go tt
where
go (tt : TaggedText (Nat × Nat)) :=
tt.rewrite fun (n, _) subTt =>
match infos.find? n with
| none => go subTt
| some i => TaggedText.tag ⟨WithRpcRef.mk { ctx, lctx, info := i }⟩ (go subTt)
def exprToInteractive (e : Expr) : MetaM CodeWithInfos := do
let (fmt, infos) ← formatInfos e
let tt := TaggedText.prettyTagged fmt
let ctx := {
env := ← getEnv
mctx := ← getMCtx
options := ← getOptions
currNamespace := ← getCurrNamespace
openDecls := ← getOpenDecls
fileMap := arbitrary
}
tagExprInfos ctx (← getLCtx) infos tt
def exprToInteractiveExplicit (e : Expr) : MetaM CodeWithInfos := do
let (fmt, infos) ← formatExplicitInfos e
let tt := TaggedText.prettyTagged fmt
let ctx := {
env := ← getEnv
mctx := ← getMCtx
options := ← getOptions
currNamespace := ← getCurrNamespace
openDecls := ← getOpenDecls
fileMap := arbitrary
}
tagExprInfos ctx (← getLCtx) infos tt
end Lean.Widget
|
8cb90d7f0cf5f71987f908472584db0e24f63239 | f1b175e38ffc5cc1c7c5551a72d0dbaf70786f83 | /order/filter.lean | 1041d9d07836e736bdec8c87cd30e23764c0a6f6 | [
"Apache-2.0"
] | permissive | mjendrusch/mathlib | df3ae884dd5ce38c7edf452bcbfd3baf4e3a6214 | 5c209edb7eb616a26f64efe3500f2b1ba95b8d55 | refs/heads/master | 1,585,663,284,800 | 1,539,062,055,000 | 1,539,062,055,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 88,228 | lean | /-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl
Theory of filters on sets.
-/
import order.galois_connection order.zorn
import data.set.finite data.list
import category.applicative
open lattice set
universes u v w x y
local attribute [instance] classical.prop_decidable
namespace lattice
variables {α : Type u} {ι : Sort v}
section
variable [complete_lattice α]
lemma Inf_eq_finite_sets {s : set α} :
Inf s = (⨅ t ∈ { t | finite t ∧ t ⊆ s}, Inf t) :=
le_antisymm
(le_infi $ assume t, le_infi $ assume ⟨_, h⟩, Inf_le_Inf h)
(le_Inf $ assume b h, infi_le_of_le {b} $ infi_le_of_le
(by simp only [h, finite_singleton, and_self, mem_set_of_eq,
singleton_subset_iff]) $ Inf_le $ by simp only [mem_singleton])
lemma infi_insert_finset {ι : Type v} {s : finset ι} {f : ι → α} {i : ι} :
(⨅j∈insert i s, f j) = f i ⊓ (⨅j∈s, f j) :=
by simp [infi_or, infi_inf_eq]
lemma infi_empty_finset {ι : Type v} {f : ι → α} : (⨅j∈(∅ : finset ι), f j) = ⊤ :=
by simp only [finset.not_mem_empty, infi_top, infi_false, eq_self_iff_true]
end
-- TODO: move
lemma inf_left_comm [semilattice_inf α] (a b c : α) : a ⊓ (b ⊓ c) = b ⊓ (a ⊓ c) :=
by rw [← inf_assoc, ← inf_assoc, @inf_comm α _ a]
def complete_lattice.copy (c : complete_lattice α)
(le : α → α → Prop) (eq_le : le = @complete_lattice.le α c)
(top : α) (eq_top : top = @complete_lattice.top α c)
(bot : α) (eq_bot : bot = @complete_lattice.bot α c)
(sup : α → α → α) (eq_sup : sup = @complete_lattice.sup α c)
(inf : α → α → α) (eq_inf : inf = @complete_lattice.inf α c)
(Sup : set α → α) (eq_Sup : Sup = @complete_lattice.Sup α c)
(Inf : set α → α) (eq_Inf : Inf = @complete_lattice.Inf α c) :
complete_lattice α :=
begin
refine { le := le, top := top, bot := bot, sup := sup, inf := inf, Sup := Sup, Inf := Inf, ..};
subst_vars,
exact @complete_lattice.le_refl α c,
exact @complete_lattice.le_trans α c,
exact @complete_lattice.le_antisymm α c,
exact @complete_lattice.le_sup_left α c,
exact @complete_lattice.le_sup_right α c,
exact @complete_lattice.sup_le α c,
exact @complete_lattice.inf_le_left α c,
exact @complete_lattice.inf_le_right α c,
exact @complete_lattice.le_inf α c,
exact @complete_lattice.le_top α c,
exact @complete_lattice.bot_le α c,
exact @complete_lattice.le_Sup α c,
exact @complete_lattice.Sup_le α c,
exact @complete_lattice.Inf_le α c,
exact @complete_lattice.le_Inf α c
end
end lattice
namespace set
variables {α : Type u} {β : Type v} {γ : Type w} {δ : Type x} {ι : Sort y}
theorem monotone_inter [preorder β] {f g : β → set α}
(hf : monotone f) (hg : monotone g) : monotone (λx, (f x) ∩ (g x)) :=
assume a b h x ⟨h₁, h₂⟩, ⟨hf h h₁, hg h h₂⟩
theorem monotone_set_of [preorder α] {p : α → β → Prop}
(hp : ∀b, monotone (λa, p a b)) : monotone (λa, {b | p a b}) :=
assume a a' h b, hp b h
end set
open set lattice
section order
variables {α : Type u} (r : α → α → Prop)
local infix `≼` : 50 := r
lemma directed_on_Union {r} {ι : Sort v} {f : ι → set α} (hd : directed (⊆) f)
(h : ∀x, directed_on r (f x)) : directed_on r (⋃x, f x) :=
by simp only [directed_on, exists_prop, mem_Union, exists_imp_distrib]; exact
assume a₁ b₁ fb₁ a₂ b₂ fb₂,
let ⟨z, zb₁, zb₂⟩ := hd b₁ b₂,
⟨x, xf, xa₁, xa₂⟩ := h z a₁ (zb₁ fb₁) a₂ (zb₂ fb₂) in
⟨x, ⟨z, xf⟩, xa₁, xa₂⟩
end order
theorem directed_of_chain {α β r} [is_refl β r] {f : α → β} {c : set α}
(h : zorn.chain (f ⁻¹'o r) c) :
directed r (λx:{a:α // a ∈ c}, f (x.val)) :=
assume ⟨a, ha⟩ ⟨b, hb⟩, classical.by_cases
(assume : a = b, by simp only [this, exists_prop, and_self, subtype.exists];
exact ⟨b, hb, refl _⟩)
(assume : a ≠ b, (h a ha b hb this).elim
(λ h : r (f a) (f b), ⟨⟨b, hb⟩, h, refl _⟩)
(λ h : r (f b) (f a), ⟨⟨a, ha⟩, refl _, h⟩))
structure filter (α : Type*) :=
(sets : set (set α))
(univ_sets : set.univ ∈ sets)
(sets_of_superset {x y} : x ∈ sets → x ⊆ y → y ∈ sets)
(inter_sets {x y} : x ∈ sets → y ∈ sets → x ∩ y ∈ sets)
namespace filter
variables {α : Type u} {f g : filter α} {s t : set α}
lemma filter_eq : ∀{f g : filter α}, f.sets = g.sets → f = g
| ⟨a, _, _, _⟩ ⟨._, _, _, _⟩ rfl := rfl
lemma filter_eq_iff : f = g ↔ f.sets = g.sets :=
⟨congr_arg _, filter_eq⟩
protected lemma ext_iff : f = g ↔ ∀ s, s ∈ f.sets ↔ s ∈ g.sets :=
by rw [filter_eq_iff, ext_iff]
@[extensionality]
protected lemma ext : (∀ s, s ∈ f.sets ↔ s ∈ g.sets) → f = g :=
filter.ext_iff.2
lemma univ_mem_sets : univ ∈ f.sets :=
f.univ_sets
lemma mem_sets_of_superset : ∀{x y : set α}, x ∈ f.sets → x ⊆ y → y ∈ f.sets :=
f.sets_of_superset
lemma inter_mem_sets : ∀{s t}, s ∈ f.sets → t ∈ f.sets → s ∩ t ∈ f.sets :=
f.inter_sets
lemma univ_mem_sets' (h : ∀ a, a ∈ s): s ∈ f.sets :=
mem_sets_of_superset univ_mem_sets (assume x _, h x)
lemma mp_sets (hs : s ∈ f.sets) (h : {x | x ∈ s → x ∈ t} ∈ f.sets) : t ∈ f.sets :=
mem_sets_of_superset (inter_mem_sets hs h) $ assume x ⟨h₁, h₂⟩, h₂ h₁
lemma Inter_mem_sets {β : Type v} {s : β → set α} {is : set β} (hf : finite is) :
(∀i∈is, s i ∈ f.sets) → (⋂i∈is, s i) ∈ f.sets :=
finite.induction_on hf
(assume hs, by simp only [univ_mem_sets, mem_empty_eq, Inter_neg, Inter_univ, not_false_iff])
(assume i is _ hf hi hs,
have h₁ : s i ∈ f.sets, from hs i (by simp),
have h₂ : (⋂x∈is, s x) ∈ f.sets, from hi $ assume a ha, hs _ $ by simp only [ha, mem_insert_iff, or_true],
by simp [inter_mem_sets h₁ h₂])
lemma exists_sets_subset_iff : (∃t∈f.sets, t ⊆ s) ↔ s ∈ f.sets :=
⟨assume ⟨t, ht, ts⟩, mem_sets_of_superset ht ts, assume hs, ⟨s, hs, subset.refl _⟩⟩
lemma monotone_mem_sets {f : filter α} : monotone (λs, s ∈ f.sets) :=
assume s t hst h, mem_sets_of_superset h hst
end filter
namespace tactic.interactive
open tactic interactive
/-- `filter [t1, ⋯, tn]` replaces a goal of the form `s ∈ f.sets`
and terms `h1 : t1 ∈ f.sets, ⋯, tn ∈ f.sets` with `∀x, x ∈ t1 → ⋯ → x ∈ tn → x ∈ s`.
`filter [t1, ⋯, tn] e` is a short form for `{ filter [t1, ⋯, tn], exact e }`.
-/
meta def filter_upwards
(s : parse types.pexpr_list)
(e' : parse $ optional types.texpr) : tactic unit :=
do
s.reverse.mmap (λ e, eapplyc `filter.mp_sets >> eapply e),
eapplyc `filter.univ_mem_sets',
match e' with
| some e := interactive.exact e
| none := skip
end
end tactic.interactive
namespace filter
variables {α : Type u} {β : Type v} {γ : Type w} {ι : Sort x}
section principal
/-- The principal filter of `s` is the collection of all supersets of `s`. -/
def principal (s : set α) : filter α :=
{ sets := {t | s ⊆ t},
univ_sets := subset_univ s,
sets_of_superset := assume x y hx hy, subset.trans hx hy,
inter_sets := assume x y, subset_inter }
instance : inhabited (filter α) :=
⟨principal ∅⟩
@[simp] lemma mem_principal_sets {s t : set α} : s ∈ (principal t).sets ↔ t ⊆ s := iff.rfl
lemma mem_principal_self (s : set α) : s ∈ (principal s).sets := subset.refl _
end principal
section join
/-- The join of a filter of filters is defined by the relation `s ∈ join f ↔ {t | s ∈ t} ∈ f`. -/
def join (f : filter (filter α)) : filter α :=
{ sets := {s | {t : filter α | s ∈ t.sets} ∈ f.sets},
univ_sets := by simp only [univ_mem_sets, mem_set_of_eq]; exact univ_mem_sets,
sets_of_superset := assume x y hx xy,
mem_sets_of_superset hx $ assume f h, mem_sets_of_superset h xy,
inter_sets := assume x y hx hy,
mem_sets_of_superset (inter_mem_sets hx hy) $ assume f ⟨h₁, h₂⟩, inter_mem_sets h₁ h₂ }
@[simp] lemma mem_join_sets {s : set α} {f : filter (filter α)} :
s ∈ (join f).sets ↔ {t | s ∈ filter.sets t} ∈ f.sets := iff.rfl
end join
section lattice
instance : partial_order (filter α) :=
{ le := λf g, g.sets ⊆ f.sets,
le_antisymm := assume a b h₁ h₂, filter_eq $ subset.antisymm h₂ h₁,
le_refl := assume a, subset.refl _,
le_trans := assume a b c h₁ h₂, subset.trans h₂ h₁ }
theorem le_def {f g : filter α} : f ≤ g ↔ ∀ x ∈ g.sets, x ∈ f.sets := iff.rfl
/-- `generate_sets g s`: `s` is in the filter closure of `g`. -/
inductive generate_sets (g : set (set α)) : set α → Prop
| basic {s : set α} : s ∈ g → generate_sets s
| univ {} : generate_sets univ
| superset {s t : set α} : generate_sets s → s ⊆ t → generate_sets t
| inter {s t : set α} : generate_sets s → generate_sets t → generate_sets (s ∩ t)
/-- `generate g` is the smallest filter containing the sets `g`. -/
def generate (g : set (set α)) : filter α :=
{ sets := {s | generate_sets g s},
univ_sets := generate_sets.univ,
sets_of_superset := assume x y, generate_sets.superset,
inter_sets := assume s t, generate_sets.inter }
lemma sets_iff_generate {s : set (set α)} {f : filter α} : f ≤ filter.generate s ↔ s ⊆ f.sets :=
iff.intro
(assume h u hu, h $ generate_sets.basic $ hu)
(assume h u hu, hu.rec_on h univ_mem_sets
(assume x y _ hxy hx, mem_sets_of_superset hx hxy)
(assume x y _ _ hx hy, inter_mem_sets hx hy))
protected def mk_of_closure (s : set (set α)) (hs : (generate s).sets = s) : filter α :=
{ sets := s,
univ_sets := hs ▸ univ_mem_sets,
sets_of_superset := assume x y, hs ▸ mem_sets_of_superset,
inter_sets := assume x y, hs ▸ inter_mem_sets }
lemma mk_of_closure_sets {s : set (set α)} {hs : (generate s).sets = s} :
filter.mk_of_closure s hs = generate s :=
filter.ext $ assume u, hs.symm ▸ iff.refl _
/- Galois insertion from sets of sets into a filters. -/
def gi_generate (α : Type*) :
@galois_insertion (set (set α)) (order_dual (filter α)) _ _ filter.generate filter.sets :=
{ gc := assume s f, sets_iff_generate,
le_l_u := assume f u, generate_sets.basic,
choice := λs hs, filter.mk_of_closure s (le_antisymm hs $ sets_iff_generate.1 $ le_refl _),
choice_eq := assume s hs, mk_of_closure_sets }
/-- The infimum of filters is the filter generated by intersections
of elements of the two filters. -/
instance : has_inf (filter α) := ⟨λf g : filter α,
{ sets := {s | ∃ (a ∈ f.sets) (b ∈ g.sets), a ∩ b ⊆ s },
univ_sets := ⟨_, univ_mem_sets, _, univ_mem_sets, inter_subset_left _ _⟩,
sets_of_superset := assume x y ⟨a, ha, b, hb, h⟩ xy, ⟨a, ha, b, hb, subset.trans h xy⟩,
inter_sets := assume x y ⟨a, ha, b, hb, hx⟩ ⟨c, hc, d, hd, hy⟩,
⟨_, inter_mem_sets ha hc, _, inter_mem_sets hb hd,
calc a ∩ c ∩ (b ∩ d) = (a ∩ b) ∩ (c ∩ d) : by ac_refl
... ⊆ x ∩ y : inter_subset_inter hx hy⟩ }⟩
@[simp] lemma mem_inf_sets {f g : filter α} {s : set α} :
s ∈ (f ⊓ g).sets ↔ ∃t₁∈f.sets, ∃t₂∈g.sets, t₁ ∩ t₂ ⊆ s := iff.rfl
lemma mem_inf_sets_of_left {f g : filter α} {s : set α} (h : s ∈ f.sets) : s ∈ (f ⊓ g).sets :=
⟨s, h, univ, univ_mem_sets, inter_subset_left _ _⟩
lemma mem_inf_sets_of_right {f g : filter α} {s : set α} (h : s ∈ g.sets) : s ∈ (f ⊓ g).sets :=
⟨univ, univ_mem_sets, s, h, inter_subset_right _ _⟩
lemma inter_mem_inf_sets {α : Type u} {f g : filter α} {s t : set α}
(hs : s ∈ f.sets) (ht : t ∈ g.sets) : s ∩ t ∈ (f ⊓ g).sets :=
inter_mem_sets (mem_inf_sets_of_left hs) (mem_inf_sets_of_right ht)
instance : has_top (filter α) :=
⟨{ sets := {s | ∀x, x ∈ s},
univ_sets := assume x, mem_univ x,
sets_of_superset := assume x y hx hxy a, hxy (hx a),
inter_sets := assume x y hx hy a, mem_inter (hx _) (hy _) }⟩
lemma mem_top_sets_iff_forall {s : set α} : s ∈ (⊤ : filter α).sets ↔ (∀x, x ∈ s) :=
iff.refl _
@[simp] lemma mem_top_sets {s : set α} : s ∈ (⊤ : filter α).sets ↔ s = univ :=
by rw [mem_top_sets_iff_forall, eq_univ_iff_forall]
section complete_lattice
/- We lift the complete lattice along the Galois connection `generate` / `sets`. Unfortunately,
we want to have different definitional equalities for the lattice operations. So we define them
upfront and change the lattice operations for the complete lattice instance. -/
private def original_complete_lattice : complete_lattice (filter α) :=
@order_dual.lattice.complete_lattice _ (gi_generate α).lift_complete_lattice
local attribute [instance] original_complete_lattice
instance : complete_lattice (filter α) := original_complete_lattice.copy
/- le -/ filter.partial_order.le rfl
/- top -/ (filter.lattice.has_top).1
(top_unique $ assume s hs, (eq_univ_of_forall hs).symm ▸ univ_mem_sets)
/- bot -/ _ rfl
/- sup -/ _ rfl
/- inf -/ (filter.lattice.has_inf).1
begin
ext f g : 2,
exact le_antisymm
(le_inf (assume s, mem_inf_sets_of_left) (assume s, mem_inf_sets_of_right))
(assume s ⟨a, ha, b, hb, hs⟩, mem_sets_of_superset (inter_mem_sets
(@inf_le_left (filter α) _ _ _ _ ha)
(@inf_le_right (filter α) _ _ _ _ hb)) hs)
end
/- Sup -/ (join ∘ principal) (by ext s x; exact (@mem_bInter_iff _ _ s filter.sets x).symm)
/- Inf -/ _ rfl
end complete_lattice
lemma bot_sets_eq : (⊥ : filter α).sets = univ := rfl
lemma sup_sets_eq {f g : filter α} : (f ⊔ g).sets = f.sets ∩ g.sets :=
(gi_generate α).gc.u_inf
lemma Sup_sets_eq {s : set (filter α)} : (Sup s).sets = (⋂f∈s, (f:filter α).sets) :=
(gi_generate α).gc.u_Inf
lemma supr_sets_eq {f : ι → filter α} : (supr f).sets = (⋂i, (f i).sets) :=
(gi_generate α).gc.u_infi
lemma generate_empty : filter.generate ∅ = (⊤ : filter α) :=
(gi_generate α).gc.l_bot
lemma generate_univ : filter.generate univ = (⊥ : filter α) :=
mk_of_closure_sets.symm
lemma generate_union {s t : set (set α)} :
filter.generate (s ∪ t) = filter.generate s ⊓ filter.generate t :=
(gi_generate α).gc.l_sup
lemma generate_Union {s : ι → set (set α)} :
filter.generate (⋃ i, s i) = (⨅ i, filter.generate (s i)) :=
(gi_generate α).gc.l_supr
@[simp] lemma mem_bot_sets {s : set α} : s ∈ (⊥ : filter α).sets :=
trivial
@[simp] lemma mem_sup_sets {f g : filter α} {s : set α} :
s ∈ (f ⊔ g).sets ↔ s ∈ f.sets ∧ s ∈ g.sets :=
iff.rfl
@[simp] lemma mem_Sup_sets {x : set α} {s : set (filter α)} :
x ∈ (Sup s).sets ↔ (∀f∈s, x ∈ (f:filter α).sets) :=
iff.rfl
@[simp] lemma mem_supr_sets {x : set α} {f : ι → filter α} :
x ∈ (supr f).sets ↔ (∀i, x ∈ (f i).sets) :=
by simp only [supr_sets_eq, iff_self, mem_Inter]
@[simp] lemma le_principal_iff {s : set α} {f : filter α} : f ≤ principal s ↔ s ∈ f.sets :=
show (∀{t}, s ⊆ t → t ∈ f.sets) ↔ s ∈ f.sets,
from ⟨assume h, h (subset.refl s), assume hs t ht, mem_sets_of_superset hs ht⟩
lemma principal_mono {s t : set α} : principal s ≤ principal t ↔ s ⊆ t :=
by simp only [le_principal_iff, iff_self, mem_principal_sets]
lemma monotone_principal : monotone (principal : set α → filter α) :=
by simp only [monotone, principal_mono]; exact assume a b h, h
@[simp] lemma principal_eq_iff_eq {s t : set α} : principal s = principal t ↔ s = t :=
by simp only [le_antisymm_iff, le_principal_iff, mem_principal_sets]; refl
@[simp] lemma join_principal_eq_Sup {s : set (filter α)} : join (principal s) = Sup s := rfl
/- lattice equations -/
lemma empty_in_sets_eq_bot {f : filter α} : ∅ ∈ f.sets ↔ f = ⊥ :=
⟨assume h, bot_unique $ assume s _, mem_sets_of_superset h (empty_subset s),
assume : f = ⊥, this.symm ▸ mem_bot_sets⟩
lemma inhabited_of_mem_sets {f : filter α} {s : set α} (hf : f ≠ ⊥) (hs : s ∈ f.sets) :
∃x, x ∈ s :=
have ∅ ∉ f.sets, from assume h, hf $ empty_in_sets_eq_bot.mp h,
have s ≠ ∅, from assume h, this (h ▸ hs),
exists_mem_of_ne_empty this
lemma filter_eq_bot_of_not_nonempty {f : filter α} (ne : ¬ nonempty α) : f = ⊥ :=
empty_in_sets_eq_bot.mp $ univ_mem_sets' $ assume x, false.elim (ne ⟨x⟩)
lemma forall_sets_neq_empty_iff_neq_bot {f : filter α} :
(∀ (s : set α), s ∈ f.sets → s ≠ ∅) ↔ f ≠ ⊥ :=
by
simp only [(@empty_in_sets_eq_bot α f).symm, ne.def];
exact ⟨assume h hs, h _ hs rfl, assume h s hs eq, h $ eq ▸ hs⟩
lemma mem_sets_of_neq_bot {f : filter α} {s : set α} (h : f ⊓ principal (-s) = ⊥) : s ∈ f.sets :=
have ∅ ∈ (f ⊓ principal (- s)).sets, from h.symm ▸ mem_bot_sets,
let ⟨s₁, hs₁, s₂, (hs₂ : -s ⊆ s₂), (hs : s₁ ∩ s₂ ⊆ ∅)⟩ := this in
by filter_upwards [hs₁] assume a ha, classical.by_contradiction $ assume ha', hs ⟨ha, hs₂ ha'⟩
lemma infi_sets_eq {f : ι → filter α} (h : directed (≥) f) (ne : nonempty ι) :
(infi f).sets = (⋃ i, (f i).sets) :=
let ⟨i⟩ := ne, u := { filter .
sets := (⋃ i, (f i).sets),
univ_sets := by simp only [mem_Union]; exact ⟨i, univ_mem_sets⟩,
sets_of_superset := by simp only [mem_Union, exists_imp_distrib];
intros x y i hx hxy; exact ⟨i, mem_sets_of_superset hx hxy⟩,
inter_sets :=
begin
simp only [mem_Union, exists_imp_distrib],
assume x y a hx b hy,
rcases h a b with ⟨c, ha, hb⟩,
exact ⟨c, inter_mem_sets (ha hx) (hb hy)⟩
end } in
subset.antisymm
(show u ≤ infi f, from le_infi $ assume i, le_supr (λi, (f i).sets) i)
(Union_subset $ assume i, infi_le f i)
lemma infi_sets_eq' {f : β → filter α} {s : set β} (h : directed_on (f ⁻¹'o (≥)) s) (ne : ∃i, i ∈ s) :
(⨅ i∈s, f i).sets = (⋃ i ∈ s, (f i).sets) :=
let ⟨i, hi⟩ := ne in
calc (⨅ i ∈ s, f i).sets = (⨅ t : {t // t ∈ s}, (f t.val)).sets : by rw [infi_subtype]; refl
... = (⨆ t : {t // t ∈ s}, (f t.val).sets) : infi_sets_eq
(assume ⟨x, hx⟩ ⟨y, hy⟩, match h x hx y hy with ⟨z, h₁, h₂, h₃⟩ := ⟨⟨z, h₁⟩, h₂, h₃⟩ end)
⟨⟨i, hi⟩⟩
... = (⨆ t ∈ {t | t ∈ s}, (f t).sets) : by rw [supr_subtype]; refl
lemma Inf_sets_eq_finite {s : set (filter α)} :
(Inf s).sets = (⋃ t ∈ {t | finite t ∧ t ⊆ s}, (Inf t).sets) :=
calc (Inf s).sets = (⨅ t ∈ { t | finite t ∧ t ⊆ s}, Inf t).sets : by rw [lattice.Inf_eq_finite_sets]
... = (⨆ t ∈ {t | finite t ∧ t ⊆ s}, (Inf t).sets) : infi_sets_eq'
(assume x ⟨hx₁, hx₂⟩ y ⟨hy₁, hy₂⟩, ⟨x ∪ y, ⟨finite_union hx₁ hy₁, union_subset hx₂ hy₂⟩,
Inf_le_Inf $ subset_union_left _ _, Inf_le_Inf $ subset_union_right _ _⟩)
⟨∅, by simp only [empty_subset, finite_empty, and_self, mem_set_of_eq]⟩
@[simp] lemma sup_join {f₁ f₂ : filter (filter α)} : (join f₁ ⊔ join f₂) = join (f₁ ⊔ f₂) :=
filter_eq $ set.ext $ assume x, by simp only [supr_sets_eq, join, mem_sup_sets, iff_self, mem_set_of_eq]
@[simp] lemma supr_join {ι : Sort w} {f : ι → filter (filter α)} : (⨆x, join (f x)) = join (⨆x, f x) :=
filter_eq $ set.ext $ assume x, by simp only [supr_sets_eq, join, iff_self, mem_Inter, mem_set_of_eq]
instance : bounded_distrib_lattice (filter α) :=
{ le_sup_inf :=
begin
assume x y z s,
simp only [and_assoc, mem_inf_sets, mem_sup_sets, exists_prop, exists_imp_distrib, and_imp],
intros hs t₁ ht₁ t₂ ht₂ hts,
exact ⟨s ∪ t₁,
x.sets_of_superset hs $ subset_union_left _ _,
y.sets_of_superset ht₁ $ subset_union_right _ _,
s ∪ t₂,
x.sets_of_superset hs $ subset_union_left _ _,
z.sets_of_superset ht₂ $ subset_union_right _ _,
subset.trans (@le_sup_inf (set α) _ _ _ _) (union_subset (subset.refl _) hts)⟩
end,
..filter.lattice.complete_lattice }
private lemma infi_finite_distrib {s : set (filter α)} {f : filter α} (h : finite s) :
(⨅ a ∈ s, f ⊔ a) = f ⊔ (Inf s) :=
finite.induction_on h
(by simp only [mem_empty_eq, infi_false, infi_top, Inf_empty, sup_top_eq])
(by intros a s hn hs hi; rw [infi_insert, hi, ← sup_inf_left, Inf_insert])
/- the complementary version with ⨆ g∈s, f ⊓ g does not hold! -/
lemma binfi_sup_eq { f : filter α } {s : set (filter α)} : (⨅ g∈s, f ⊔ g) = f ⊔ Inf s :=
le_antisymm
begin
intros t h,
cases h with h₁ h₂,
rw [Inf_sets_eq_finite] at h₂,
simp only [and_assoc, exists_prop, mem_Union, mem_set_of_eq] at h₂,
rcases h₂ with ⟨s', hs', hs's, ht'⟩,
have ht : t ∈ (⨅ a ∈ s', f ⊔ a).sets,
{ rw [infi_finite_distrib], exact ⟨h₁, ht'⟩, exact hs' },
clear h₁ ht',
revert ht t,
change (⨅ a ∈ s, f ⊔ a) ≤ (⨅ a ∈ s', f ⊔ a),
apply infi_le_infi2 _,
exact assume i, ⟨i, infi_le_infi2 $ assume h, ⟨hs's h, le_refl _⟩⟩
end
(le_infi $ assume g, le_infi $ assume h, sup_le_sup (le_refl f) $ Inf_le h)
lemma infi_sup_eq { f : filter α } {g : ι → filter α} : (⨅ x, f ⊔ g x) = f ⊔ infi g :=
calc (⨅ x, f ⊔ g x) = (⨅ x (h : ∃i, g i = x), f ⊔ x) :
by simp only [infi_exists]; rw infi_comm; simp only [infi_infi_eq_right, eq_self_iff_true]
... = f ⊔ Inf {x | ∃i, g i = x} : binfi_sup_eq
... = f ⊔ infi g : by rw Inf_eq_infi; dsimp; simp only [infi_exists];
rw infi_comm; simp only [infi_infi_eq_right, eq_self_iff_true]
lemma mem_infi_sets_finset {s : finset α} {f : α → filter β} :
∀t, t ∈ (⨅a∈s, f a).sets ↔ (∃p:α → set β, (∀a∈s, p a ∈ (f a).sets) ∧ (⋂a∈s, p a) ⊆ t) :=
show ∀t, t ∈ (⨅a∈s, f a).sets ↔ (∃p:α → set β, (∀a∈s, p a ∈ (f a).sets) ∧ (⨅a∈s, p a) ≤ t),
begin
refine finset.induction_on s _ _,
{ simp only [finset.not_mem_empty, false_implies_iff, lattice.infi_empty_finset, top_le_iff,
imp_true_iff, mem_top_sets, true_and, exists_const],
intros; refl },
{ intros a s has ih t,
simp only [ih, finset.forall_mem_insert, lattice.infi_insert_finset, mem_inf_sets,
exists_prop, iff_iff_implies_and_implies, exists_imp_distrib, and_imp, and_assoc] {contextual := tt},
split,
{ intros t₁ ht₁ t₂ p hp ht₂ ht,
existsi function.update p a t₁,
have : ∀a'∈s, function.update p a t₁ a' = p a',
from assume a' ha',
have a' ≠ a, from assume h, has $ h ▸ ha',
function.update_noteq this,
have eq : (⨅j ∈ s, function.update p a t₁ j) = (⨅j ∈ s, p j),
begin congr, funext b, congr, funext h, apply this, assumption end,
simp only [this, ht₁, hp, function.update_same, true_and, imp_true_iff, eq] {contextual := tt},
exact subset.trans (inter_subset_inter (subset.refl _) ht₂) ht },
from assume p hpa hp ht, ⟨p a, hpa, (⨅j∈s, p j), ⟨⟨p, hp, le_refl _⟩, ht⟩⟩ }
end
/- principal equations -/
@[simp] lemma inf_principal {s t : set α} : principal s ⊓ principal t = principal (s ∩ t) :=
le_antisymm
(by simp; exact ⟨s, subset.refl s, t, subset.refl t, by simp⟩)
(by simp [le_inf_iff, inter_subset_left, inter_subset_right])
@[simp] lemma sup_principal {s t : set α} : principal s ⊔ principal t = principal (s ∪ t) :=
filter_eq $ set.ext $
by simp only [union_subset_iff, union_subset_iff, mem_sup_sets, forall_const, iff_self, mem_principal_sets]
@[simp] lemma supr_principal {ι : Sort w} {s : ι → set α} : (⨆x, principal (s x)) = principal (⋃i, s i) :=
filter_eq $ set.ext $ assume x, by simp only [supr_sets_eq, mem_principal_sets, mem_Inter];
exact (@supr_le_iff (set α) _ _ _ _).symm
lemma principal_univ : principal (univ : set α) = ⊤ :=
top_unique $ by simp only [le_principal_iff, mem_top_sets, eq_self_iff_true]
lemma principal_empty : principal (∅ : set α) = ⊥ :=
bot_unique $ assume s _, empty_subset _
@[simp] lemma principal_eq_bot_iff {s : set α} : principal s = ⊥ ↔ s = ∅ :=
⟨assume h, principal_eq_iff_eq.mp $ by simp only [principal_empty, h, eq_self_iff_true],
assume h, by simp only [h, principal_empty, eq_self_iff_true]⟩
lemma inf_principal_eq_bot {f : filter α} {s : set α} (hs : -s ∈ f.sets) : f ⊓ principal s = ⊥ :=
empty_in_sets_eq_bot.mp ⟨_, hs, s, mem_principal_self s, assume x ⟨h₁, h₂⟩, h₁ h₂⟩
end lattice
section map
/-- The forward map of a filter -/
def map (m : α → β) (f : filter α) : filter β :=
{ sets := preimage m ⁻¹' f.sets,
univ_sets := univ_mem_sets,
sets_of_superset := assume s t hs st, mem_sets_of_superset hs $ preimage_mono st,
inter_sets := assume s t hs ht, inter_mem_sets hs ht }
@[simp] lemma map_principal {s : set α} {f : α → β} :
map f (principal s) = principal (set.image f s) :=
filter_eq $ set.ext $ assume a, image_subset_iff.symm
variables {f : filter α} {m : α → β} {m' : β → γ} {s : set α} {t : set β}
@[simp] lemma mem_map : t ∈ (map m f).sets ↔ {x | m x ∈ t} ∈ f.sets := iff.rfl
lemma image_mem_map (hs : s ∈ f.sets) : m '' s ∈ (map m f).sets :=
f.sets_of_superset hs $ subset_preimage_image m s
lemma mem_map_sets_iff : t ∈ (map m f).sets ↔ (∃s∈f.sets, m '' s ⊆ t) :=
iff.intro
(assume ht, ⟨set.preimage m t, ht, image_preimage_subset _ _⟩)
(assume ⟨s, hs, ht⟩, mem_sets_of_superset (image_mem_map hs) ht)
@[simp] lemma map_id : filter.map id f = f :=
filter_eq $ rfl
@[simp] lemma map_compose : filter.map m' ∘ filter.map m = filter.map (m' ∘ m) :=
funext $ assume _, filter_eq $ rfl
@[simp] lemma map_map : filter.map m' (filter.map m f) = filter.map (m' ∘ m) f :=
congr_fun (@@filter.map_compose m m') f
end map
section comap
/-- The inverse map of a filter -/
def comap (m : α → β) (f : filter β) : filter α :=
{ sets := { s | ∃t∈f.sets, m ⁻¹' t ⊆ s },
univ_sets := ⟨univ, univ_mem_sets, by simp only [subset_univ, preimage_univ]⟩,
sets_of_superset := assume a b ⟨a', ha', ma'a⟩ ab,
⟨a', ha', subset.trans ma'a ab⟩,
inter_sets := assume a b ⟨a', ha₁, ha₂⟩ ⟨b', hb₁, hb₂⟩,
⟨a' ∩ b', inter_mem_sets ha₁ hb₁, inter_subset_inter ha₂ hb₂⟩ }
end comap
/-- The cofinite filter is the filter of subsets whose complements are finite. -/
def cofinite : filter α :=
{ sets := {s | finite (- s)},
univ_sets := by simp only [compl_univ, finite_empty, mem_set_of_eq],
sets_of_superset := assume s t (hs : finite (-s)) (st: s ⊆ t),
finite_subset hs $ @lattice.neg_le_neg (set α) _ _ _ st,
inter_sets := assume s t (hs : finite (-s)) (ht : finite (-t)),
by simp only [compl_inter, finite_union, ht, hs, mem_set_of_eq] }
/-- The monadic bind operation on filter is defined the usual way in terms of `map` and `join`.
Unfortunately, this `bind` does not result in the expected applicative. See `filter.seq` for the
applicative instance. -/
def bind (f : filter α) (m : α → filter β) : filter β := join (map m f)
/-- The applicative sequentiation operation. This is not induced by the bind operation. -/
def seq (f : filter (α → β)) (g : filter α) : filter β :=
⟨{ s | ∃u∈f.sets, ∃t∈g.sets, (∀m∈u, ∀x∈t, (m : α → β) x ∈ s) },
⟨univ, univ_mem_sets, univ, univ_mem_sets, by simp only [forall_prop_of_true, mem_univ, forall_true_iff]⟩,
assume s₀ s₁ ⟨t₀, t₁, h₀, h₁, h⟩ hst, ⟨t₀, t₁, h₀, h₁, assume x hx y hy, hst $ h _ hx _ hy⟩,
assume s₀ s₁ ⟨t₀, ht₀, t₁, ht₁, ht⟩ ⟨u₀, hu₀, u₁, hu₁, hu⟩,
⟨t₀ ∩ u₀, inter_mem_sets ht₀ hu₀, t₁ ∩ u₁, inter_mem_sets ht₁ hu₁,
assume x ⟨hx₀, hx₁⟩ x ⟨hy₀, hy₁⟩, ⟨ht _ hx₀ _ hy₀, hu _ hx₁ _ hy₁⟩⟩⟩
instance : has_pure filter := ⟨λ(α : Type u) x, principal {x}⟩
instance : has_bind filter := ⟨@filter.bind⟩
instance : has_seq filter := ⟨@filter.seq⟩
instance : functor filter := { map := @filter.map }
section
-- this section needs to be before applicative, otherwiese the wrong instance will be chosen
protected def monad : monad filter := { map := @filter.map }
local attribute [instance] filter.monad
protected def is_lawful_monad : is_lawful_monad filter :=
{ id_map := assume α f, filter_eq rfl,
pure_bind := assume α β a f, by simp only [bind, Sup_image, image_singleton,
join_principal_eq_Sup, lattice.Sup_singleton, map_principal, eq_self_iff_true],
bind_assoc := assume α β γ f m₁ m₂, filter_eq rfl,
bind_pure_comp_eq_map := assume α β f x, filter_eq $
by simp only [bind, join, map, preimage, principal, set.subset_univ, eq_self_iff_true,
function.comp_app, mem_set_of_eq, singleton_subset_iff] }
end
instance : applicative filter := { map := @filter.map, seq := @filter.seq }
instance : alternative filter :=
{ failure := λα, ⊥,
orelse := λα x y, x ⊔ y }
@[simp] lemma pure_def (x : α) : pure x = principal {x} := rfl
@[simp] lemma mem_pure {a : α} {s : set α} : a ∈ s → s ∈ (pure a : filter α).sets :=
by simp only [imp_self, pure_def, mem_principal_sets, singleton_subset_iff]; exact id
@[simp] lemma map_def {α β} (m : α → β) (f : filter α) : m <$> f = map m f := rfl
@[simp] lemma bind_def {α β} (f : filter α) (m : α → filter β) : f >>= m = bind f m := rfl
/- map and comap equations -/
section map
variables {f f₁ f₂ : filter α} {g g₁ g₂ : filter β} {m : α → β} {m' : β → γ} {s : set α} {t : set β}
@[simp] theorem mem_comap_sets : s ∈ (comap m g).sets ↔ ∃t∈g.sets, m ⁻¹' t ⊆ s := iff.rfl
theorem preimage_mem_comap (ht : t ∈ g.sets) : m ⁻¹' t ∈ (comap m g).sets :=
⟨t, ht, subset.refl _⟩
lemma comap_id : comap id f = f :=
le_antisymm (assume s, preimage_mem_comap) (assume s ⟨t, ht, hst⟩, mem_sets_of_superset ht hst)
lemma comap_comap_comp {m : γ → β} {n : β → α} : comap m (comap n f) = comap (n ∘ m) f :=
le_antisymm
(assume c ⟨b, hb, (h : preimage (n ∘ m) b ⊆ c)⟩, ⟨preimage n b, preimage_mem_comap hb, h⟩)
(assume c ⟨b, ⟨a, ha, (h₁ : preimage n a ⊆ b)⟩, (h₂ : preimage m b ⊆ c)⟩,
⟨a, ha, show preimage m (preimage n a) ⊆ c, from subset.trans (preimage_mono h₁) h₂⟩)
@[simp] theorem comap_principal {t : set β} : comap m (principal t) = principal (m ⁻¹' t) :=
filter_eq $ set.ext $ assume s,
⟨assume ⟨u, (hu : t ⊆ u), (b : preimage m u ⊆ s)⟩, subset.trans (preimage_mono hu) b,
assume : preimage m t ⊆ s, ⟨t, subset.refl t, this⟩⟩
lemma map_le_iff_le_comap : map m f ≤ g ↔ f ≤ comap m g :=
⟨assume h s ⟨t, ht, hts⟩, mem_sets_of_superset (h ht) hts, assume h s ht, h ⟨_, ht, subset.refl _⟩⟩
lemma gc_map_comap (m : α → β) : galois_connection (map m) (comap m) :=
assume f g, map_le_iff_le_comap
lemma map_mono (h : f₁ ≤ f₂) : map m f₁ ≤ map m f₂ := (gc_map_comap m).monotone_l h
lemma monotone_map : monotone (map m) | a b := map_mono
lemma comap_mono (h : g₁ ≤ g₂) : comap m g₁ ≤ comap m g₂ := (gc_map_comap m).monotone_u h
lemma monotone_comap : monotone (comap m) | a b := comap_mono
@[simp] lemma map_bot : map m ⊥ = ⊥ := (gc_map_comap m).l_bot
@[simp] lemma map_sup : map m (f₁ ⊔ f₂) = map m f₁ ⊔ map m f₂ := (gc_map_comap m).l_sup
@[simp] lemma map_supr {f : ι → filter α} : map m (⨆i, f i) = (⨆i, map m (f i)) :=
(gc_map_comap m).l_supr
@[simp] lemma comap_top : comap m ⊤ = ⊤ := (gc_map_comap m).u_top
@[simp] lemma comap_inf : comap m (g₁ ⊓ g₂) = comap m g₁ ⊓ comap m g₂ := (gc_map_comap m).u_inf
@[simp] lemma comap_infi {f : ι → filter β} : comap m (⨅i, f i) = (⨅i, comap m (f i)) :=
(gc_map_comap m).u_infi
lemma map_comap_le : map m (comap m g) ≤ g := (gc_map_comap m).l_u_le _
lemma le_comap_map : f ≤ comap m (map m f) := (gc_map_comap m).le_u_l _
@[simp] lemma comap_bot : comap m ⊥ = ⊥ :=
bot_unique $ assume s _, ⟨∅, by simp only [mem_bot_sets], by simp only [empty_subset, preimage_empty]⟩
lemma comap_supr {ι} {f : ι → filter β} {m : α → β} :
comap m (supr f) = (⨆i, comap m (f i)) :=
le_antisymm
(assume s hs,
have ∀i, ∃t, t ∈ (f i).sets ∧ m ⁻¹' t ⊆ s, by simpa only [mem_comap_sets, exists_prop, mem_supr_sets] using mem_supr_sets.1 hs,
let ⟨t, ht⟩ := classical.axiom_of_choice this in
⟨⋃i, t i, mem_supr_sets.2 $ assume i, (f i).sets_of_superset (ht i).1 (subset_Union _ _),
begin
rw [preimage_Union, Union_subset_iff],
assume i,
exact (ht i).2
end⟩)
(supr_le $ assume i, monotone_comap $ le_supr _ _)
lemma comap_Sup {s : set (filter β)} {m : α → β} : comap m (Sup s) = (⨆f∈s, comap m f) :=
by simp only [Sup_eq_supr, comap_supr, eq_self_iff_true]
lemma comap_sup : comap m (g₁ ⊔ g₂) = comap m g₁ ⊔ comap m g₂ :=
le_antisymm
(assume s ⟨⟨t₁, ht₁, hs₁⟩, ⟨t₂, ht₂, hs₂⟩⟩,
⟨t₁ ∪ t₂,
⟨g₁.sets_of_superset ht₁ (subset_union_left _ _), g₂.sets_of_superset ht₂ (subset_union_right _ _)⟩,
union_subset hs₁ hs₂⟩)
(sup_le (comap_mono le_sup_left) (comap_mono le_sup_right))
lemma le_map_comap' {f : filter β} {m : α → β} {s : set β}
(hs : s ∈ f.sets) (hm : ∀b∈s, ∃a, m a = b) : f ≤ map m (comap m f) :=
assume t' ⟨t, ht, (sub : m ⁻¹' t ⊆ m ⁻¹' t')⟩,
by filter_upwards [ht, hs] assume x hxt hxs,
let ⟨y, hy⟩ := hm x hxs in
hy ▸ sub (show m y ∈ t, from hy.symm ▸ hxt)
lemma le_map_comap {f : filter β} {m : α → β} (hm : ∀x, ∃y, m y = x) : f ≤ map m (comap m f) :=
le_map_comap' univ_mem_sets (assume b _, hm b)
lemma comap_map {f : filter α} {m : α → β} (h : ∀ x y, m x = m y → x = y) :
comap m (map m f) = f :=
have ∀s, preimage m (image m s) = s,
from assume s, preimage_image_eq s h,
le_antisymm
(assume s hs, ⟨
image m s,
f.sets_of_superset hs $ by simp only [this, subset.refl],
by simp only [this, subset.refl]⟩)
le_comap_map
lemma le_of_map_le_map_inj' {f g : filter α} {m : α → β} {s : set α}
(hsf : s ∈ f.sets) (hsg : s ∈ g.sets) (hm : ∀x∈s, ∀y∈s, m x = m y → x = y)
(h : map m f ≤ map m g) : f ≤ g :=
assume t ht, by filter_upwards [hsf, h $ image_mem_map (inter_mem_sets hsg ht)]
assume a has ⟨b, ⟨hbs, hb⟩, h⟩,
have b = a, from hm _ hbs _ has h,
this ▸ hb
lemma le_of_map_le_map_inj_iff {f g : filter α} {m : α → β} {s : set α}
(hsf : s ∈ f.sets) (hsg : s ∈ g.sets) (hm : ∀x∈s, ∀y∈s, m x = m y → x = y) :
map m f ≤ map m g ↔ f ≤ g :=
iff.intro (le_of_map_le_map_inj' hsf hsg hm) map_mono
lemma eq_of_map_eq_map_inj' {f g : filter α} {m : α → β} {s : set α}
(hsf : s ∈ f.sets) (hsg : s ∈ g.sets) (hm : ∀x∈s, ∀y∈s, m x = m y → x = y)
(h : map m f = map m g) : f = g :=
le_antisymm
(le_of_map_le_map_inj' hsf hsg hm $ le_of_eq h)
(le_of_map_le_map_inj' hsg hsf hm $ le_of_eq h.symm)
lemma map_inj {f g : filter α} {m : α → β} (hm : ∀ x y, m x = m y → x = y) (h : map m f = map m g) :
f = g :=
have comap m (map m f) = comap m (map m g), by rw h,
by rwa [comap_map hm, comap_map hm] at this
lemma comap_neq_bot {f : filter β} {m : α → β}
(hm : ∀t∈f.sets, ∃a, m a ∈ t) : comap m f ≠ ⊥ :=
forall_sets_neq_empty_iff_neq_bot.mp $ assume s ⟨t, ht, t_s⟩,
let ⟨a, (ha : a ∈ preimage m t)⟩ := hm t ht in
neq_bot_of_le_neq_bot (ne_empty_of_mem ha) t_s
lemma comap_neq_bot_of_surj {f : filter β} {m : α → β}
(hf : f ≠ ⊥) (hm : ∀b, ∃a, m a = b) : comap m f ≠ ⊥ :=
comap_neq_bot $ assume t ht,
let
⟨b, (hx : b ∈ t)⟩ := inhabited_of_mem_sets hf ht,
⟨a, (ha : m a = b)⟩ := hm b
in ⟨a, ha.symm ▸ hx⟩
@[simp] lemma map_eq_bot_iff : map m f = ⊥ ↔ f = ⊥ :=
⟨by rw [←empty_in_sets_eq_bot, ←empty_in_sets_eq_bot]; exact id,
assume h, by simp only [h, eq_self_iff_true, map_bot]⟩
lemma map_ne_bot (hf : f ≠ ⊥) : map m f ≠ ⊥ :=
assume h, hf $ by rwa [map_eq_bot_iff] at h
lemma sInter_comap_sets (f : α → β) (F : filter β) :
⋂₀(comap f F).sets = ⋂ U ∈ F.sets, f ⁻¹' U :=
begin
ext x,
suffices : (∀ (A : set α) (B : set β), B ∈ F.sets → f ⁻¹' B ⊆ A → x ∈ A) ↔
∀ (B : set β), B ∈ F.sets → f x ∈ B,
by simp only [mem_sInter, mem_Inter, mem_comap_sets, this, and_imp, mem_comap_sets, exists_prop, mem_sInter,
iff_self, mem_Inter, mem_preimage_eq, exists_imp_distrib],
split,
{ intros h U U_in,
simpa only [set.subset.refl, forall_prop_of_true, mem_preimage_eq] using h (f ⁻¹' U) U U_in },
{ intros h V U U_in f_U_V,
exact f_U_V (h U U_in) },
end
end map
lemma map_cong {m₁ m₂ : α → β} {f : filter α} (h : {x | m₁ x = m₂ x} ∈ f.sets) :
map m₁ f = map m₂ f :=
have ∀(m₁ m₂ : α → β) (h : {x | m₁ x = m₂ x} ∈ f.sets), map m₁ f ≤ map m₂ f,
begin
intros m₁ m₂ h s hs,
show {x | m₁ x ∈ s} ∈ f.sets,
filter_upwards [h, hs],
simp only [subset_def, mem_preimage_eq, mem_set_of_eq, forall_true_iff] {contextual := tt}
end,
le_antisymm (this m₁ m₂ h) (this m₂ m₁ $ mem_sets_of_superset h $ assume x, eq.symm)
-- this is a generic rule for monotone functions:
lemma map_infi_le {f : ι → filter α} {m : α → β} :
map m (infi f) ≤ (⨅ i, map m (f i)) :=
le_infi $ assume i, map_mono $ infi_le _ _
lemma map_infi_eq {f : ι → filter α} {m : α → β} (hf : directed (≥) f) (hι : nonempty ι) :
map m (infi f) = (⨅ i, map m (f i)) :=
le_antisymm
map_infi_le
(assume s (hs : preimage m s ∈ (infi f).sets),
have ∃i, preimage m s ∈ (f i).sets,
by simp only [infi_sets_eq hf hι, mem_Union] at hs; assumption,
let ⟨i, hi⟩ := this in
have (⨅ i, map m (f i)) ≤ principal s, from
infi_le_of_le i $ by simp only [le_principal_iff, mem_map]; assumption,
by simp only [filter.le_principal_iff] at this; assumption)
lemma map_binfi_eq {ι : Type w} {f : ι → filter α} {m : α → β} {p : ι → Prop}
(h : directed_on (f ⁻¹'o (≥)) {x | p x}) (ne : ∃i, p i) :
map m (⨅i (h : p i), f i) = (⨅i (h: p i), map m (f i)) :=
let ⟨i, hi⟩ := ne in
calc map m (⨅i (h : p i), f i) = map m (⨅i:subtype p, f i.val) : by simp only [infi_subtype, eq_self_iff_true]
... = (⨅i:subtype p, map m (f i.val)) : map_infi_eq
(assume ⟨x, hx⟩ ⟨y, hy⟩, match h x hx y hy with ⟨z, h₁, h₂, h₃⟩ := ⟨⟨z, h₁⟩, h₂, h₃⟩ end)
⟨⟨i, hi⟩⟩
... = (⨅i (h : p i), map m (f i)) : by simp only [infi_subtype, eq_self_iff_true]
lemma map_inf' {f g : filter α} {m : α → β} {t : set α} (htf : t ∈ f.sets) (htg : t ∈ g.sets)
(h : ∀x∈t, ∀y∈t, m x = m y → x = y) : map m (f ⊓ g) = map m f ⊓ map m g :=
begin
refine le_antisymm
(le_inf (map_mono inf_le_left) (map_mono inf_le_right))
(assume s hs, _),
simp only [map, mem_inf_sets, exists_prop, mem_map, mem_preimage_eq, mem_inf_sets] at hs ⊢,
rcases hs with ⟨t₁, h₁, t₂, h₂, hs⟩,
refine ⟨m '' (t₁ ∩ t), _, m '' (t₂ ∩ t), _, _⟩,
{ filter_upwards [h₁, htf] assume a h₁ h₂, mem_image_of_mem _ ⟨h₁, h₂⟩ },
{ filter_upwards [h₂, htg] assume a h₁ h₂, mem_image_of_mem _ ⟨h₁, h₂⟩ },
{ rw [image_inter_on],
{ refine image_subset_iff.2 _,
exact λ x ⟨⟨h₁, _⟩, h₂, _⟩, hs ⟨h₁, h₂⟩ },
{ exact λ x ⟨_, hx⟩ y ⟨_, hy⟩, h x hx y hy } }
end
lemma map_inf {f g : filter α} {m : α → β} (h : ∀ x y, m x = m y → x = y) :
map m (f ⊓ g) = map m f ⊓ map m g :=
map_inf' univ_mem_sets univ_mem_sets (assume x _ y _, h x y)
lemma map_eq_comap_of_inverse {f : filter α} {m : α → β} {n : β → α}
(h₁ : m ∘ n = id) (h₂ : n ∘ m = id) : map m f = comap n f :=
le_antisymm
(assume b ⟨a, ha, (h : preimage n a ⊆ b)⟩, f.sets_of_superset ha $
calc a = preimage (n ∘ m) a : by simp only [h₂, preimage_id, eq_self_iff_true]
... ⊆ preimage m b : preimage_mono h)
(assume b (hb : preimage m b ∈ f.sets),
⟨preimage m b, hb, show preimage (m ∘ n) b ⊆ b, by simp only [h₁]; apply subset.refl⟩)
lemma map_swap_eq_comap_swap {f : filter (α × β)} : prod.swap <$> f = comap prod.swap f :=
map_eq_comap_of_inverse prod.swap_swap_eq prod.swap_swap_eq
lemma le_map {f : filter α} {m : α → β} {g : filter β} (h : ∀s∈f.sets, m '' s ∈ g.sets) :
g ≤ f.map m :=
assume s hs, mem_sets_of_superset (h _ hs) $ image_preimage_subset _ _
section applicative
@[simp] lemma mem_pure_sets {a : α} {s : set α} :
s ∈ (pure a : filter α).sets ↔ a ∈ s :=
by simp only [iff_self, pure_def, mem_principal_sets, singleton_subset_iff]
lemma singleton_mem_pure_sets {a : α} : {a} ∈ (pure a : filter α).sets :=
by simp only [mem_singleton, pure_def, mem_principal_sets, singleton_subset_iff]
@[simp] lemma pure_neq_bot {α : Type u} {a : α} : pure a ≠ (⊥ : filter α) :=
by simp only [pure, has_pure.pure, ne.def, not_false_iff, singleton_ne_empty, principal_eq_bot_iff]
lemma mem_seq_sets_def {f : filter (α → β)} {g : filter α} {s : set β} :
s ∈ (f.seq g).sets ↔ (∃u∈f.sets, ∃t∈g.sets, ∀x∈u, ∀y∈t, (x : α → β) y ∈ s) :=
iff.refl _
lemma mem_seq_sets_iff {f : filter (α → β)} {g : filter α} {s : set β} :
s ∈ (f.seq g).sets ↔ (∃u∈f.sets, ∃t∈g.sets, set.seq u t ⊆ s) :=
by simp only [mem_seq_sets_def, seq_subset, exists_prop, iff_self]
lemma seq_mem_seq_sets {f : filter (α → β)} {g : filter α} {s : set (α → β)} {t : set α}
(hs : s ∈ f.sets) (ht : t ∈ g.sets): s.seq t ∈ (f.seq g).sets :=
⟨s, hs, t, ht, assume f hf a ha, ⟨f, hf, a, ha, rfl⟩⟩
lemma le_seq {f : filter (α → β)} {g : filter α} {h : filter β}
(hh : ∀t∈f.sets, ∀u∈g.sets, set.seq t u ∈ h.sets) : h ≤ seq f g :=
assume s ⟨t, ht, u, hu, hs⟩, mem_sets_of_superset (hh _ ht _ hu) $
assume b ⟨m, hm, a, ha, eq⟩, eq ▸ hs _ hm _ ha
lemma seq_mono {f₁ f₂ : filter (α → β)} {g₁ g₂ : filter α}
(hf : f₁ ≤ f₂) (hg : g₁ ≤ g₂) : f₁.seq g₁ ≤ f₂.seq g₂ :=
le_seq $ assume s hs t ht, seq_mem_seq_sets (hf hs) (hg ht)
@[simp] lemma pure_seq_eq_map (g : α → β) (f : filter α) : seq (pure g) f = f.map g :=
begin
refine le_antisymm (le_map $ assume s hs, _) (le_seq $ assume s hs t ht, _),
{ rw ← singleton_seq, apply seq_mem_seq_sets _ hs,
simp only [mem_singleton, pure_def, mem_principal_sets, singleton_subset_iff] },
{ rw mem_pure_sets at hs,
refine sets_of_superset (map g f) (image_mem_map ht) _,
rintros b ⟨a, ha, rfl⟩, exact ⟨g, hs, a, ha, rfl⟩ }
end
@[simp] lemma map_pure (f : α → β) (a : α) : map f (pure a) = pure (f a) :=
le_antisymm
(le_principal_iff.2 $ sets_of_superset (map f (pure a)) (image_mem_map singleton_mem_pure_sets) $
by simp only [image_singleton, mem_singleton, singleton_subset_iff])
(le_map $ assume s, begin
simp only [mem_image, pure_def, mem_principal_sets, singleton_subset_iff],
exact assume has, ⟨a, has, rfl⟩
end)
@[simp] lemma seq_pure (f : filter (α → β)) (a : α) : seq f (pure a) = map (λg:α → β, g a) f :=
begin
refine le_antisymm (le_map $ assume s hs, _) (le_seq $ assume s hs t ht, _),
{ rw ← seq_singleton, exact seq_mem_seq_sets hs
(by simp only [mem_singleton, pure_def, mem_principal_sets, singleton_subset_iff]) },
{ rw mem_pure_sets at ht,
refine sets_of_superset (map (λg:α→β, g a) f) (image_mem_map hs) _,
rintros b ⟨g, hg, rfl⟩, exact ⟨g, hg, a, ht, rfl⟩ }
end
@[simp] lemma seq_assoc (x : filter α) (g : filter (α → β)) (h : filter (β → γ)) :
seq h (seq g x) = seq (seq (map (∘) h) g) x :=
begin
refine le_antisymm (le_seq $ assume s hs t ht, _) (le_seq $ assume s hs t ht, _),
{ rcases mem_seq_sets_iff.1 hs with ⟨u, hu, v, hv, hs⟩,
rcases mem_map_sets_iff.1 hu with ⟨w, hw, hu⟩,
refine mem_sets_of_superset _
(set.seq_mono (subset.trans (set.seq_mono hu (subset.refl _)) hs) (subset.refl _)),
rw ← set.seq_seq,
exact seq_mem_seq_sets hw (seq_mem_seq_sets hv ht) },
{ rcases mem_seq_sets_iff.1 ht with ⟨u, hu, v, hv, ht⟩,
refine mem_sets_of_superset _ (set.seq_mono (subset.refl _) ht),
rw set.seq_seq,
exact seq_mem_seq_sets (seq_mem_seq_sets (image_mem_map hs) hu) hv }
end
lemma prod_map_seq_comm (f : filter α) (g : filter β) :
(map prod.mk f).seq g = seq (map (λb a, (a, b)) g) f :=
begin
refine le_antisymm (le_seq $ assume s hs t ht, _) (le_seq $ assume s hs t ht, _),
{ rcases mem_map_sets_iff.1 hs with ⟨u, hu, hs⟩,
refine mem_sets_of_superset _ (set.seq_mono hs (subset.refl _)),
rw ← set.prod_image_seq_comm,
exact seq_mem_seq_sets (image_mem_map ht) hu },
{ rcases mem_map_sets_iff.1 hs with ⟨u, hu, hs⟩,
refine mem_sets_of_superset _ (set.seq_mono hs (subset.refl _)),
rw set.prod_image_seq_comm,
exact seq_mem_seq_sets (image_mem_map ht) hu }
end
instance : is_lawful_functor (filter : Type u → Type u) :=
{ id_map := assume α f, map_id,
comp_map := assume α β γ f g a, map_map.symm }
instance : is_lawful_applicative (filter : Type u → Type u) :=
{ pure_seq_eq_map := assume α β, pure_seq_eq_map,
map_pure := assume α β, map_pure,
seq_pure := assume α β, seq_pure,
seq_assoc := assume α β γ, seq_assoc }
instance : is_comm_applicative (filter : Type u → Type u) :=
⟨assume α β f g, prod_map_seq_comm f g⟩
lemma {l} seq_eq_filter_seq {α β : Type l} (f : filter (α → β)) (g : filter α) :
f <*> g = seq f g := rfl
end applicative
/- bind equations -/
section bind
@[simp] lemma mem_bind_sets {s : set β} {f : filter α} {m : α → filter β} :
s ∈ (bind f m).sets ↔ ∃t ∈ f.sets, ∀x ∈ t, s ∈ (m x).sets :=
calc s ∈ (bind f m).sets ↔ {a | s ∈ (m a).sets} ∈ f.sets : by simp only [bind, mem_map, iff_self, mem_join_sets, mem_set_of_eq]
... ↔ (∃t ∈ f.sets, t ⊆ {a | s ∈ (m a).sets}) : exists_sets_subset_iff.symm
... ↔ (∃t ∈ f.sets, ∀x ∈ t, s ∈ (m x).sets) : iff.refl _
lemma bind_mono {f : filter α} {g h : α → filter β} (h₁ : {a | g a ≤ h a} ∈ f.sets) :
bind f g ≤ bind f h :=
assume x h₂, show (_ ∈ f.sets), by filter_upwards [h₁, h₂] assume s gh' h', gh' h'
lemma bind_sup {f g : filter α} {h : α → filter β} :
bind (f ⊔ g) h = bind f h ⊔ bind g h :=
by simp only [bind, sup_join, map_sup, eq_self_iff_true]
lemma bind_mono2 {f g : filter α} {h : α → filter β} (h₁ : f ≤ g) :
bind f h ≤ bind g h :=
assume s h', h₁ h'
lemma principal_bind {s : set α} {f : α → filter β} :
(bind (principal s) f) = (⨆x ∈ s, f x) :=
show join (map f (principal s)) = (⨆x ∈ s, f x),
by simp only [Sup_image, join_principal_eq_Sup, map_principal, eq_self_iff_true]
end bind
lemma infi_neq_bot_of_directed {f : ι → filter α}
(hn : nonempty α) (hd : directed (≥) f) (hb : ∀i, f i ≠ ⊥): (infi f) ≠ ⊥ :=
let ⟨x⟩ := hn in
assume h, have he: ∅ ∈ (infi f).sets, from h.symm ▸ mem_bot_sets,
classical.by_cases
(assume : nonempty ι,
have ∃i, ∅ ∈ (f i).sets,
by rw [infi_sets_eq hd this] at he; simp only [mem_Union] at he; assumption,
let ⟨i, hi⟩ := this in
hb i $ bot_unique $
assume s _, (f i).sets_of_superset hi $ empty_subset _)
(assume : ¬ nonempty ι,
have univ ⊆ (∅ : set α),
begin
rw [←principal_mono, principal_univ, principal_empty, ←h],
exact (le_infi $ assume i, false.elim $ this ⟨i⟩)
end,
this $ mem_univ x)
lemma infi_neq_bot_iff_of_directed {f : ι → filter α}
(hn : nonempty α) (hd : directed (≥) f) : (infi f) ≠ ⊥ ↔ (∀i, f i ≠ ⊥) :=
⟨assume neq_bot i eq_bot, neq_bot $ bot_unique $ infi_le_of_le i $ eq_bot ▸ le_refl _,
infi_neq_bot_of_directed hn hd⟩
lemma mem_infi_sets {f : ι → filter α} (i : ι) : ∀{s}, s ∈ (f i).sets → s ∈ (⨅i, f i).sets :=
show (⨅i, f i) ≤ f i, from infi_le _ _
@[elab_as_eliminator]
lemma infi_sets_induct {f : ι → filter α} {s : set α} (hs : s ∈ (infi f).sets) {p : set α → Prop}
(uni : p univ)
(ins : ∀{i s₁ s₂}, s₁ ∈ (f i).sets → p s₂ → p (s₁ ∩ s₂))
(upw : ∀{s₁ s₂}, s₁ ⊆ s₂ → p s₁ → p s₂) : p s :=
begin
have hs' : s ∈ (Inf {a : filter α | ∃ (i : ι), a = f i}).sets := hs,
rw [Inf_sets_eq_finite] at hs',
simp only [mem_Union] at hs',
rcases hs' with ⟨is, ⟨fin_is, his⟩, hs⟩, revert his s,
refine finite.induction_on fin_is _ (λ fi is fi_ne_is fin_is ih, _); intros his s hs' hs,
{ rw [Inf_empty, mem_top_sets] at hs, simpa only [hs] },
{ rw [Inf_insert] at hs,
rcases hs with ⟨s₁, hs₁, s₂, hs₂, hs⟩,
rcases (his (mem_insert _ _) : ∃i, fi = f i) with ⟨i, rfl⟩,
have hs₂ : p s₂, from
have his : is ⊆ {x | ∃i, x = f i}, from assume i hi, his $ mem_insert_of_mem _ hi,
have infi f ≤ Inf is, from Inf_le_Inf his,
ih his (this hs₂) hs₂,
exact upw hs (ins hs₁ hs₂) }
end
/- tendsto -/
/-- `tendsto` is the generic "limit of a function" predicate.
`tendsto f l₁ l₂` asserts that for every `l₂` neighborhood `a`,
the `f`-preimage of `a` is an `l₁` neighborhood. -/
def tendsto (f : α → β) (l₁ : filter α) (l₂ : filter β) := l₁.map f ≤ l₂
lemma tendsto_def {f : α → β} {l₁ : filter α} {l₂ : filter β} :
tendsto f l₁ l₂ ↔ ∀ s ∈ l₂.sets, f ⁻¹' s ∈ l₁.sets := iff.rfl
lemma tendsto_iff_comap {f : α → β} {l₁ : filter α} {l₂ : filter β} :
tendsto f l₁ l₂ ↔ l₁ ≤ l₂.comap f :=
map_le_iff_le_comap
lemma tendsto_cong {f₁ f₂ : α → β} {l₁ : filter α} {l₂ : filter β}
(h : tendsto f₁ l₁ l₂) (hl : {x | f₁ x = f₂ x} ∈ l₁.sets) : tendsto f₂ l₁ l₂ :=
by rwa [tendsto, ←map_cong hl]
lemma tendsto_id' {x y : filter α} : x ≤ y → tendsto id x y :=
by simp only [tendsto, map_id, forall_true_iff] {contextual := tt}
lemma tendsto_id {x : filter α} : tendsto id x x := tendsto_id' $ le_refl x
lemma tendsto.comp {f : α → β} {g : β → γ} {x : filter α} {y : filter β} {z : filter γ}
(hf : tendsto f x y) (hg : tendsto g y z) : tendsto (g ∘ f) x z :=
calc map (g ∘ f) x = map g (map f x) : by rw [map_map]
... ≤ map g y : map_mono hf
... ≤ z : hg
lemma tendsto_le_left {f : α → β} {x y : filter α} {z : filter β}
(h : y ≤ x) : tendsto f x z → tendsto f y z :=
le_trans (map_mono h)
lemma tendsto_le_right {f : α → β} {x : filter α} {y z : filter β}
(h₁ : y ≤ z) (h₂ : tendsto f x y) : tendsto f x z :=
le_trans h₂ h₁
lemma tendsto_map {f : α → β} {x : filter α} : tendsto f x (map f x) := le_refl (map f x)
lemma tendsto_map' {f : β → γ} {g : α → β} {x : filter α} {y : filter γ}
(h : tendsto (f ∘ g) x y) : tendsto f (map g x) y :=
by rwa [tendsto, map_map]
lemma tendsto_map'_iff {f : β → γ} {g : α → β} {x : filter α} {y : filter γ} :
tendsto f (map g x) y ↔ tendsto (f ∘ g) x y :=
by rw [tendsto, map_map]; refl
lemma tendsto_comap {f : α → β} {x : filter β} : tendsto f (comap f x) x :=
map_comap_le
lemma tendsto_comap_iff {f : α → β} {g : β → γ} {a : filter α} {c : filter γ} :
tendsto f a (c.comap g) ↔ tendsto (g ∘ f) a c :=
⟨assume h, h.comp tendsto_comap, assume h, map_le_iff_le_comap.mp $ by rwa [map_map]⟩
lemma tendsto_comap'' {m : α → β} {f : filter α} {g : filter β} (s : set α)
{i : γ → α} (hs : s ∈ f.sets) (hi : ∀a∈s, ∃c, i c = a)
(h : tendsto (m ∘ i) (comap i f) g) : tendsto m f g :=
have tendsto m (map i $ comap i $ f) g,
by rwa [tendsto, ←map_compose] at h,
le_trans (map_mono $ le_map_comap' hs hi) this
lemma comap_eq_of_inverse {f : filter α} {g : filter β}
{φ : α → β} {ψ : β → α} (inv₁ : φ ∘ ψ = id) (inv₂ : ψ ∘ φ = id)
(lim₁ : tendsto φ f g) (lim₂ : tendsto ψ g f) : comap φ g = f :=
begin
have ineq₁ := calc
comap φ g = map ψ g : eq.symm (map_eq_comap_of_inverse inv₂ inv₁)
... ≤ f : lim₂,
have ineq₂ : f ≤ comap φ g := map_le_iff_le_comap.1 lim₁,
exact le_antisymm ineq₁ ineq₂
end
lemma tendsto_inf {f : α → β} {x : filter α} {y₁ y₂ : filter β} :
tendsto f x (y₁ ⊓ y₂) ↔ tendsto f x y₁ ∧ tendsto f x y₂ :=
by simp only [tendsto, lattice.le_inf_iff, iff_self]
lemma tendsto_inf_left {f : α → β} {x₁ x₂ : filter α} {y : filter β}
(h : tendsto f x₁ y) : tendsto f (x₁ ⊓ x₂) y :=
le_trans (map_mono inf_le_left) h
lemma tendsto_inf_right {f : α → β} {x₁ x₂ : filter α} {y : filter β}
(h : tendsto f x₂ y) : tendsto f (x₁ ⊓ x₂) y :=
le_trans (map_mono inf_le_right) h
lemma tendsto_infi {f : α → β} {x : filter α} {y : ι → filter β} :
tendsto f x (⨅i, y i) ↔ ∀i, tendsto f x (y i) :=
by simp only [tendsto, iff_self, lattice.le_infi_iff]
lemma tendsto_infi' {f : α → β} {x : ι → filter α} {y : filter β} (i : ι) :
tendsto f (x i) y → tendsto f (⨅i, x i) y :=
tendsto_le_left (infi_le _ _)
lemma tendsto_principal {f : α → β} {a : filter α} {s : set β} :
tendsto f a (principal s) ↔ {a | f a ∈ s} ∈ a.sets :=
by simp only [tendsto, le_principal_iff, mem_map, iff_self]
lemma tendsto_principal_principal {f : α → β} {s : set α} {t : set β} :
tendsto f (principal s) (principal t) ↔ ∀a∈s, f a ∈ t :=
by simp only [tendsto, image_subset_iff, le_principal_iff, map_principal, mem_principal_sets]; refl
section lift
/-- A variant on `bind` using a function `g` taking a set
instead of a member of `α`. -/
protected def lift (f : filter α) (g : set α → filter β) :=
⨅s ∈ f.sets, g s
variables {f f₁ f₂ : filter α} {g g₁ g₂ : set α → filter β}
lemma lift_sets_eq (hg : monotone g) : (f.lift g).sets = (⋃t∈f.sets, (g t).sets) :=
infi_sets_eq'
(assume s hs t ht, ⟨s ∩ t, inter_mem_sets hs ht,
hg $ inter_subset_left s t, hg $ inter_subset_right s t⟩)
⟨univ, univ_mem_sets⟩
lemma mem_lift {s : set β} {t : set α} (ht : t ∈ f.sets) (hs : s ∈ (g t).sets) :
s ∈ (f.lift g).sets :=
le_principal_iff.mp $ show f.lift g ≤ principal s,
from infi_le_of_le t $ infi_le_of_le ht $ le_principal_iff.mpr hs
lemma mem_lift_sets (hg : monotone g) {s : set β} :
s ∈ (f.lift g).sets ↔ (∃t∈f.sets, s ∈ (g t).sets) :=
by rw [lift_sets_eq hg]; simp only [mem_Union]
lemma lift_le {f : filter α} {g : set α → filter β} {h : filter β} {s : set α}
(hs : s ∈ f.sets) (hg : g s ≤ h) : f.lift g ≤ h :=
infi_le_of_le s $ infi_le_of_le hs $ hg
lemma le_lift {f : filter α} {g : set α → filter β} {h : filter β}
(hh : ∀s∈f.sets, h ≤ g s) : h ≤ f.lift g :=
le_infi $ assume s, le_infi $ assume hs, hh s hs
lemma lift_mono (hf : f₁ ≤ f₂) (hg : g₁ ≤ g₂) : f₁.lift g₁ ≤ f₂.lift g₂ :=
infi_le_infi $ assume s, infi_le_infi2 $ assume hs, ⟨hf hs, hg s⟩
lemma lift_mono' (hg : ∀s∈f.sets, g₁ s ≤ g₂ s) : f.lift g₁ ≤ f.lift g₂ :=
infi_le_infi $ assume s, infi_le_infi $ assume hs, hg s hs
lemma map_lift_eq {m : β → γ} (hg : monotone g) : map m (f.lift g) = f.lift (map m ∘ g) :=
have monotone (map m ∘ g),
from monotone_comp hg monotone_map,
filter_eq $ set.ext $
by simp only [mem_lift_sets, hg, @mem_lift_sets _ _ f _ this, exists_prop, forall_const, mem_map, iff_self, function.comp_app]
lemma comap_lift_eq {m : γ → β} (hg : monotone g) : comap m (f.lift g) = f.lift (comap m ∘ g) :=
have monotone (comap m ∘ g),
from monotone_comp hg monotone_comap,
filter_eq $ set.ext begin
simp only [hg, @mem_lift_sets _ _ f _ this, comap, mem_lift_sets, mem_set_of_eq, exists_prop,
function.comp_apply],
exact λ s,
⟨λ ⟨b, ⟨a, ha, hb⟩, hs⟩, ⟨a, ha, b, hb, hs⟩,
λ ⟨a, ha, b, hb, hs⟩, ⟨b, ⟨a, ha, hb⟩, hs⟩⟩
end
theorem comap_lift_eq2 {m : β → α} {g : set β → filter γ} (hg : monotone g) :
(comap m f).lift g = f.lift (g ∘ preimage m) :=
le_antisymm
(le_infi $ assume s, le_infi $ assume hs,
infi_le_of_le (preimage m s) $ infi_le _ ⟨s, hs, subset.refl _⟩)
(le_infi $ assume s, le_infi $ assume ⟨s', hs', (h_sub : preimage m s' ⊆ s)⟩,
infi_le_of_le s' $ infi_le_of_le hs' $ hg h_sub)
lemma map_lift_eq2 {g : set β → filter γ} {m : α → β} (hg : monotone g) :
(map m f).lift g = f.lift (g ∘ image m) :=
le_antisymm
(infi_le_infi2 $ assume s, ⟨image m s,
infi_le_infi2 $ assume hs, ⟨
f.sets_of_superset hs $ assume a h, mem_image_of_mem _ h,
le_refl _⟩⟩)
(infi_le_infi2 $ assume t, ⟨preimage m t,
infi_le_infi2 $ assume ht, ⟨ht,
hg $ assume x, assume h : x ∈ m '' preimage m t,
let ⟨y, hy, h_eq⟩ := h in
show x ∈ t, from h_eq ▸ hy⟩⟩)
lemma lift_comm {g : filter β} {h : set α → set β → filter γ} :
f.lift (λs, g.lift (h s)) = g.lift (λt, f.lift (λs, h s t)) :=
le_antisymm
(le_infi $ assume i, le_infi $ assume hi, le_infi $ assume j, le_infi $ assume hj,
infi_le_of_le j $ infi_le_of_le hj $ infi_le_of_le i $ infi_le _ hi)
(le_infi $ assume i, le_infi $ assume hi, le_infi $ assume j, le_infi $ assume hj,
infi_le_of_le j $ infi_le_of_le hj $ infi_le_of_le i $ infi_le _ hi)
lemma lift_assoc {h : set β → filter γ} (hg : monotone g) :
(f.lift g).lift h = f.lift (λs, (g s).lift h) :=
le_antisymm
(le_infi $ assume s, le_infi $ assume hs, le_infi $ assume t, le_infi $ assume ht,
infi_le_of_le t $ infi_le _ $ (mem_lift_sets hg).mpr ⟨_, hs, ht⟩)
(le_infi $ assume t, le_infi $ assume ht,
let ⟨s, hs, h'⟩ := (mem_lift_sets hg).mp ht in
infi_le_of_le s $ infi_le_of_le hs $ infi_le_of_le t $ infi_le _ h')
lemma lift_lift_same_le_lift {g : set α → set α → filter β} :
f.lift (λs, f.lift (g s)) ≤ f.lift (λs, g s s) :=
le_infi $ assume s, le_infi $ assume hs, infi_le_of_le s $ infi_le_of_le hs $ infi_le_of_le s $ infi_le _ hs
lemma lift_lift_same_eq_lift {g : set α → set α → filter β}
(hg₁ : ∀s, monotone (λt, g s t)) (hg₂ : ∀t, monotone (λs, g s t)):
f.lift (λs, f.lift (g s)) = f.lift (λs, g s s) :=
le_antisymm
lift_lift_same_le_lift
(le_infi $ assume s, le_infi $ assume hs, le_infi $ assume t, le_infi $ assume ht,
infi_le_of_le (s ∩ t) $
infi_le_of_le (inter_mem_sets hs ht) $
calc g (s ∩ t) (s ∩ t) ≤ g s (s ∩ t) : hg₂ (s ∩ t) (inter_subset_left _ _)
... ≤ g s t : hg₁ s (inter_subset_right _ _))
lemma lift_principal {s : set α} (hg : monotone g) :
(principal s).lift g = g s :=
le_antisymm
(infi_le_of_le s $ infi_le _ $ subset.refl _)
(le_infi $ assume t, le_infi $ assume hi, hg hi)
theorem monotone_lift [preorder γ] {f : γ → filter α} {g : γ → set α → filter β}
(hf : monotone f) (hg : monotone g) : monotone (λc, (f c).lift (g c)) :=
assume a b h, lift_mono (hf h) (hg h)
lemma lift_neq_bot_iff (hm : monotone g) : (f.lift g ≠ ⊥) ↔ (∀s∈f.sets, g s ≠ ⊥) :=
classical.by_cases
(assume hn : nonempty β,
calc f.lift g ≠ ⊥ ↔ (⨅s : { s // s ∈ f.sets}, g s.val) ≠ ⊥ :
by simp only [filter.lift, infi_subtype, iff_self, ne.def]
... ↔ (∀s:{ s // s ∈ f.sets}, g s.val ≠ ⊥) :
infi_neq_bot_iff_of_directed hn
(assume ⟨a, ha⟩ ⟨b, hb⟩, ⟨⟨a ∩ b, inter_mem_sets ha hb⟩,
hm $ inter_subset_left _ _, hm $ inter_subset_right _ _⟩)
... ↔ (∀s∈f.sets, g s ≠ ⊥) : ⟨assume h s hs, h ⟨s, hs⟩, assume h ⟨s, hs⟩, h s hs⟩)
(assume hn : ¬ nonempty β,
have h₁ : f.lift g = ⊥, from filter_eq_bot_of_not_nonempty hn,
have h₂ : ∀s, g s = ⊥, from assume s, filter_eq_bot_of_not_nonempty hn,
calc (f.lift g ≠ ⊥) ↔ false : by simp only [h₁, iff_self, eq_self_iff_true, not_true, ne.def]
... ↔ (∀s∈f.sets, false) : ⟨false.elim, assume h, h univ univ_mem_sets⟩
... ↔ (∀s∈f.sets, g s ≠ ⊥) : by simp only [h₂, iff_self, eq_self_iff_true, not_true, ne.def])
@[simp] lemma lift_const {f : filter α} {g : filter β} : f.lift (λx, g) = g :=
le_antisymm (lift_le univ_mem_sets $ le_refl g) (le_lift $ assume s hs, le_refl g)
@[simp] lemma lift_inf {f : filter α} {g h : set α → filter β} :
f.lift (λx, g x ⊓ h x) = f.lift g ⊓ f.lift h :=
by simp only [filter.lift, infi_inf_eq, eq_self_iff_true]
@[simp] lemma lift_principal2 {f : filter α} : f.lift principal = f :=
le_antisymm
(assume s hs, mem_lift hs (mem_principal_self s))
(le_infi $ assume s, le_infi $ assume hs, by simp only [hs, le_principal_iff])
lemma lift_infi {f : ι → filter α} {g : set α → filter β}
(hι : nonempty ι) (hg : ∀{s t}, g s ⊓ g t = g (s ∩ t)) : (infi f).lift g = (⨅i, (f i).lift g) :=
le_antisymm
(le_infi $ assume i, lift_mono (infi_le _ _) (le_refl _))
(assume s,
have g_mono : monotone g,
from assume s t h, le_of_inf_eq $ eq.trans hg $ congr_arg g $ inter_eq_self_of_subset_left h,
have ∀t∈(infi f).sets, (⨅ (i : ι), filter.lift (f i) g) ≤ g t,
from assume t ht, infi_sets_induct ht
(let ⟨i⟩ := hι in infi_le_of_le i $ infi_le_of_le univ $ infi_le _ univ_mem_sets)
(assume i s₁ s₂ hs₁ hs₂,
@hg s₁ s₂ ▸ le_inf (infi_le_of_le i $ infi_le_of_le s₁ $ infi_le _ hs₁) hs₂)
(assume s₁ s₂ hs₁ hs₂, le_trans hs₂ $ g_mono hs₁),
begin
rw [lift_sets_eq g_mono],
simp only [mem_Union, exists_imp_distrib],
exact assume t ht hs, this t ht hs
end)
end lift
section lift'
/-- Specialize `lift` to functions `set α → set β`. This can be viewed as
a generalization of `comap`. -/
protected def lift' (f : filter α) (h : set α → set β) :=
f.lift (principal ∘ h)
variables {f f₁ f₂ : filter α} {h h₁ h₂ : set α → set β}
lemma mem_lift' {t : set α} (ht : t ∈ f.sets) : h t ∈ (f.lift' h).sets :=
le_principal_iff.mp $ show f.lift' h ≤ principal (h t),
from infi_le_of_le t $ infi_le_of_le ht $ le_refl _
lemma mem_lift'_sets (hh : monotone h) {s : set β} : s ∈ (f.lift' h).sets ↔ (∃t∈f.sets, h t ⊆ s) :=
have monotone (principal ∘ h),
from assume a b h, principal_mono.mpr $ hh h,
by simp only [filter.lift', @mem_lift_sets α β f _ this, exists_prop, iff_self, mem_principal_sets, function.comp_app]
lemma lift'_le {f : filter α} {g : set α → set β} {h : filter β} {s : set α}
(hs : s ∈ f.sets) (hg : principal (g s) ≤ h) : f.lift' g ≤ h :=
lift_le hs hg
lemma lift'_mono (hf : f₁ ≤ f₂) (hh : h₁ ≤ h₂) : f₁.lift' h₁ ≤ f₂.lift' h₂ :=
lift_mono hf $ assume s, principal_mono.mpr $ hh s
lemma lift'_mono' (hh : ∀s∈f.sets, h₁ s ⊆ h₂ s) : f.lift' h₁ ≤ f.lift' h₂ :=
infi_le_infi $ assume s, infi_le_infi $ assume hs, principal_mono.mpr $ hh s hs
lemma lift'_cong (hh : ∀s∈f.sets, h₁ s = h₂ s) : f.lift' h₁ = f.lift' h₂ :=
le_antisymm (lift'_mono' $ assume s hs, le_of_eq $ hh s hs) (lift'_mono' $ assume s hs, le_of_eq $ (hh s hs).symm)
lemma map_lift'_eq {m : β → γ} (hh : monotone h) : map m (f.lift' h) = f.lift' (image m ∘ h) :=
calc map m (f.lift' h) = f.lift (map m ∘ principal ∘ h) :
map_lift_eq $ monotone_comp hh monotone_principal
... = f.lift' (image m ∘ h) : by simp only [(∘), filter.lift', map_principal, eq_self_iff_true]
lemma map_lift'_eq2 {g : set β → set γ} {m : α → β} (hg : monotone g) :
(map m f).lift' g = f.lift' (g ∘ image m) :=
map_lift_eq2 $ monotone_comp hg monotone_principal
theorem comap_lift'_eq {m : γ → β} (hh : monotone h) :
comap m (f.lift' h) = f.lift' (preimage m ∘ h) :=
calc comap m (f.lift' h) = f.lift (comap m ∘ principal ∘ h) :
comap_lift_eq $ monotone_comp hh monotone_principal
... = f.lift' (preimage m ∘ h) : by simp only [(∘), filter.lift', comap_principal, eq_self_iff_true]
theorem comap_lift'_eq2 {m : β → α} {g : set β → set γ} (hg : monotone g) :
(comap m f).lift' g = f.lift' (g ∘ preimage m) :=
comap_lift_eq2 $ monotone_comp hg monotone_principal
lemma lift'_principal {s : set α} (hh : monotone h) :
(principal s).lift' h = principal (h s) :=
lift_principal $ monotone_comp hh monotone_principal
lemma principal_le_lift' {t : set β} (hh : ∀s∈f.sets, t ⊆ h s) :
principal t ≤ f.lift' h :=
le_infi $ assume s, le_infi $ assume hs, principal_mono.mpr (hh s hs)
theorem monotone_lift' [preorder γ] {f : γ → filter α} {g : γ → set α → set β}
(hf : monotone f) (hg : monotone g) : monotone (λc, (f c).lift' (g c)) :=
assume a b h, lift'_mono (hf h) (hg h)
lemma lift_lift'_assoc {g : set α → set β} {h : set β → filter γ}
(hg : monotone g) (hh : monotone h) :
(f.lift' g).lift h = f.lift (λs, h (g s)) :=
calc (f.lift' g).lift h = f.lift (λs, (principal (g s)).lift h) :
lift_assoc (monotone_comp hg monotone_principal)
... = f.lift (λs, h (g s)) : by simp only [lift_principal, hh, eq_self_iff_true]
lemma lift'_lift'_assoc {g : set α → set β} {h : set β → set γ}
(hg : monotone g) (hh : monotone h) :
(f.lift' g).lift' h = f.lift' (λs, h (g s)) :=
lift_lift'_assoc hg (monotone_comp hh monotone_principal)
lemma lift'_lift_assoc {g : set α → filter β} {h : set β → set γ}
(hg : monotone g) : (f.lift g).lift' h = f.lift (λs, (g s).lift' h) :=
lift_assoc hg
lemma lift_lift'_same_le_lift' {g : set α → set α → set β} :
f.lift (λs, f.lift' (g s)) ≤ f.lift' (λs, g s s) :=
lift_lift_same_le_lift
lemma lift_lift'_same_eq_lift' {g : set α → set α → set β}
(hg₁ : ∀s, monotone (λt, g s t)) (hg₂ : ∀t, monotone (λs, g s t)):
f.lift (λs, f.lift' (g s)) = f.lift' (λs, g s s) :=
lift_lift_same_eq_lift
(assume s, monotone_comp monotone_id $ monotone_comp (hg₁ s) monotone_principal)
(assume t, monotone_comp (hg₂ t) monotone_principal)
lemma lift'_inf_principal_eq {h : set α → set β} {s : set β} :
f.lift' h ⊓ principal s = f.lift' (λt, h t ∩ s) :=
le_antisymm
(le_infi $ assume t, le_infi $ assume ht,
calc filter.lift' f h ⊓ principal s ≤ principal (h t) ⊓ principal s :
inf_le_inf (infi_le_of_le t $ infi_le _ ht) (le_refl _)
... = _ : by simp only [principal_eq_iff_eq, inf_principal, eq_self_iff_true, function.comp_app])
(le_inf
(le_infi $ assume t, le_infi $ assume ht,
infi_le_of_le t $ infi_le_of_le ht $
by simp only [le_principal_iff, inter_subset_left, mem_principal_sets, function.comp_app]; exact inter_subset_right _ _)
(infi_le_of_le univ $ infi_le_of_le univ_mem_sets $
by simp only [le_principal_iff, inter_subset_right, mem_principal_sets, function.comp_app]; exact inter_subset_left _ _))
lemma lift'_neq_bot_iff (hh : monotone h) : (f.lift' h ≠ ⊥) ↔ (∀s∈f.sets, h s ≠ ∅) :=
calc (f.lift' h ≠ ⊥) ↔ (∀s∈f.sets, principal (h s) ≠ ⊥) :
lift_neq_bot_iff (monotone_comp hh monotone_principal)
... ↔ (∀s∈f.sets, h s ≠ ∅) : by simp only [principal_eq_bot_iff, iff_self, ne.def, principal_eq_bot_iff]
@[simp] lemma lift'_id {f : filter α} : f.lift' id = f :=
lift_principal2
lemma le_lift' {f : filter α} {h : set α → set β} {g : filter β}
(h_le : ∀s∈f.sets, h s ∈ g.sets) : g ≤ f.lift' h :=
le_infi $ assume s, le_infi $ assume hs, by simp only [h_le, le_principal_iff, function.comp_app]; exact h_le s hs
lemma lift_infi' {f : ι → filter α} {g : set α → filter β}
(hι : nonempty ι) (hf : directed (≥) f) (hg : monotone g) : (infi f).lift g = (⨅i, (f i).lift g) :=
le_antisymm
(le_infi $ assume i, lift_mono (infi_le _ _) (le_refl _))
(assume s,
begin
rw [lift_sets_eq hg],
simp only [mem_Union, exists_imp_distrib, infi_sets_eq hf hι],
exact assume t i ht hs, mem_infi_sets i $ mem_lift ht hs
end)
lemma lift'_infi {f : ι → filter α} {g : set α → set β}
(hι : nonempty ι) (hg : ∀{s t}, g s ∩ g t = g (s ∩ t)) : (infi f).lift' g = (⨅i, (f i).lift' g) :=
lift_infi hι $ by simp only [principal_eq_iff_eq, inf_principal, function.comp_app]; apply assume s t, hg
theorem comap_eq_lift' {f : filter β} {m : α → β} :
comap m f = f.lift' (preimage m) :=
filter_eq $ set.ext $ by simp only [mem_lift'_sets, monotone_preimage, comap, exists_prop, forall_const, iff_self, mem_set_of_eq]
end lift'
section prod
variables {s : set α} {t : set β} {f : filter α} {g : filter β}
/- The product filter cannot be defined using the monad structure on filters. For example:
F := do {x <- seq, y <- top, return (x, y)}
hence:
s ∈ F <-> ∃n, [n..∞] × univ ⊆ s
G := do {y <- top, x <- seq, return (x, y)}
hence:
s ∈ G <-> ∀i:ℕ, ∃n, [n..∞] × {i} ⊆ s
Now ⋃i, [i..∞] × {i} is in G but not in F.
As product filter we want to have F as result.
-/
/-- Product of filters. This is the filter generated by cartesian products
of elements of the component filters. -/
protected def prod (f : filter α) (g : filter β) : filter (α × β) :=
f.comap prod.fst ⊓ g.comap prod.snd
lemma prod_mem_prod {s : set α} {t : set β} {f : filter α} {g : filter β}
(hs : s ∈ f.sets) (ht : t ∈ g.sets) : set.prod s t ∈ (filter.prod f g).sets :=
inter_mem_inf_sets (preimage_mem_comap hs) (preimage_mem_comap ht)
lemma mem_prod_iff {s : set (α×β)} {f : filter α} {g : filter β} :
s ∈ (filter.prod f g).sets ↔ (∃t₁∈f.sets, ∃t₂∈g.sets, set.prod t₁ t₂ ⊆ s) :=
begin
simp only [filter.prod],
split,
exact assume ⟨t₁, ⟨s₁, hs₁, hts₁⟩, t₂, ⟨s₂, hs₂, hts₂⟩, h⟩,
⟨s₁, hs₁, s₂, hs₂, subset.trans (inter_subset_inter hts₁ hts₂) h⟩,
exact assume ⟨t₁, ht₁, t₂, ht₂, h⟩,
⟨prod.fst ⁻¹' t₁, ⟨t₁, ht₁, subset.refl _⟩, prod.snd ⁻¹' t₂, ⟨t₂, ht₂, subset.refl _⟩, h⟩
end
lemma tendsto_fst {f : filter α} {g : filter β} : tendsto prod.fst (filter.prod f g) f :=
tendsto_inf_left tendsto_comap
lemma tendsto_snd {f : filter α} {g : filter β} : tendsto prod.snd (filter.prod f g) g :=
tendsto_inf_right tendsto_comap
lemma tendsto.prod_mk {f : filter α} {g : filter β} {h : filter γ} {m₁ : α → β} {m₂ : α → γ}
(h₁ : tendsto m₁ f g) (h₂ : tendsto m₂ f h) : tendsto (λx, (m₁ x, m₂ x)) f (filter.prod g h) :=
tendsto_inf.2 ⟨tendsto_comap_iff.2 h₁, tendsto_comap_iff.2 h₂⟩
lemma prod_infi_left {f : ι → filter α} {g : filter β} (i : ι) :
filter.prod (⨅i, f i) g = (⨅i, filter.prod (f i) g) :=
by rw [filter.prod, comap_infi, infi_inf i]; simp only [filter.prod, eq_self_iff_true]
lemma prod_infi_right {f : filter α} {g : ι → filter β} (i : ι) :
filter.prod f (⨅i, g i) = (⨅i, filter.prod f (g i)) :=
by rw [filter.prod, comap_infi, inf_infi i]; simp only [filter.prod, eq_self_iff_true]
lemma prod_mono {f₁ f₂ : filter α} {g₁ g₂ : filter β} (hf : f₁ ≤ f₂) (hg : g₁ ≤ g₂) :
filter.prod f₁ g₁ ≤ filter.prod f₂ g₂ :=
inf_le_inf (comap_mono hf) (comap_mono hg)
lemma prod_comap_comap_eq {α₁ : Type u} {α₂ : Type v} {β₁ : Type w} {β₂ : Type x}
{f₁ : filter α₁} {f₂ : filter α₂} {m₁ : β₁ → α₁} {m₂ : β₂ → α₂} :
filter.prod (comap m₁ f₁) (comap m₂ f₂) = comap (λp:β₁×β₂, (m₁ p.1, m₂ p.2)) (filter.prod f₁ f₂) :=
by simp only [filter.prod, comap_comap_comp, eq_self_iff_true, comap_inf]
lemma prod_comm' : filter.prod f g = comap (prod.swap) (filter.prod g f) :=
by simp only [filter.prod, comap_comap_comp, (∘), inf_comm, prod.fst_swap,
eq_self_iff_true, prod.snd_swap, comap_inf]
lemma prod_comm : filter.prod f g = map (λp:β×α, (p.2, p.1)) (filter.prod g f) :=
by rw [prod_comm', ← map_swap_eq_comap_swap]; refl
lemma prod_map_map_eq {α₁ : Type u} {α₂ : Type v} {β₁ : Type w} {β₂ : Type x}
{f₁ : filter α₁} {f₂ : filter α₂} {m₁ : α₁ → β₁} {m₂ : α₂ → β₂} :
filter.prod (map m₁ f₁) (map m₂ f₂) = map (λp:α₁×α₂, (m₁ p.1, m₂ p.2)) (filter.prod f₁ f₂) :=
le_antisymm
(assume s hs,
let ⟨s₁, hs₁, s₂, hs₂, h⟩ := mem_prod_iff.mp hs in
filter.sets_of_superset _ (prod_mem_prod (image_mem_map hs₁) (image_mem_map hs₂)) $
calc set.prod (m₁ '' s₁) (m₂ '' s₂) = (λp:α₁×α₂, (m₁ p.1, m₂ p.2)) '' set.prod s₁ s₂ :
set.prod_image_image_eq
... ⊆ _ : by rwa [image_subset_iff])
((tendsto_fst.comp (le_refl _)).prod_mk (tendsto_snd.comp (le_refl _)))
lemma prod_inf_prod {f₁ f₂ : filter α} {g₁ g₂ : filter β} :
filter.prod f₁ g₁ ⊓ filter.prod f₂ g₂ = filter.prod (f₁ ⊓ f₂) (g₁ ⊓ g₂) :=
by simp only [filter.prod, comap_inf, inf_comm, inf_assoc, lattice.inf_left_comm]
@[simp] lemma prod_bot1 {f : filter α} : filter.prod f (⊥ : filter β) = ⊥ := by simp [filter.prod]
@[simp] lemma prod_bot2 {g : filter β} : filter.prod (⊥ : filter α) g = ⊥ := by simp [filter.prod]
@[simp] lemma prod_principal_principal {s : set α} {t : set β} :
filter.prod (principal s) (principal t) = principal (set.prod s t) :=
by simp only [filter.prod, comap_principal, principal_eq_iff_eq, comap_principal, inf_principal]; refl
lemma prod_def {f : filter α} {g : filter β} : f.prod g = (f.lift $ λs, g.lift' $ set.prod s) :=
have ∀(s:set α) (t : set β),
principal (set.prod s t) = (principal s).comap prod.fst ⊓ (principal t).comap prod.snd,
by simp only [principal_eq_iff_eq, comap_principal, inf_principal]; intros; refl,
begin
simp only [filter.lift', function.comp, this, -comap_principal, lift_inf, lift_const, lift_inf],
rw [← comap_lift_eq monotone_principal, ← comap_lift_eq monotone_principal],
simp only [filter.prod, lift_principal2, eq_self_iff_true]
end
lemma prod_same_eq : filter.prod f f = f.lift' (λt, set.prod t t) :=
by rw [prod_def];
from lift_lift'_same_eq_lift'
(assume s, set.monotone_prod monotone_const monotone_id)
(assume t, set.monotone_prod monotone_id monotone_const)
lemma mem_prod_same_iff {s : set (α×α)} :
s ∈ (filter.prod f f).sets ↔ (∃t∈f.sets, set.prod t t ⊆ s) :=
by rw [prod_same_eq, mem_lift'_sets]; exact set.monotone_prod monotone_id monotone_id
lemma prod_lift_lift {α₁ : Type u} {α₂ : Type v} {β₁ : Type w} {β₂ : Type x}
{f₁ : filter α₁} {f₂ : filter α₂} {g₁ : set α₁ → filter β₁} {g₂ : set α₂ → filter β₂}
(hg₁ : monotone g₁) (hg₂ : monotone g₂) :
filter.prod (f₁.lift g₁) (f₂.lift g₂) = f₁.lift (λs, f₂.lift (λt, filter.prod (g₁ s) (g₂ t))) :=
begin
simp only [prod_def],
rw [lift_assoc],
apply congr_arg, funext x,
rw [lift_comm],
apply congr_arg, funext y,
rw [lift'_lift_assoc],
exact hg₂,
exact hg₁
end
lemma prod_lift'_lift' {α₁ : Type u} {α₂ : Type v} {β₁ : Type w} {β₂ : Type x}
{f₁ : filter α₁} {f₂ : filter α₂} {g₁ : set α₁ → set β₁} {g₂ : set α₂ → set β₂}
(hg₁ : monotone g₁) (hg₂ : monotone g₂) :
filter.prod (f₁.lift' g₁) (f₂.lift' g₂) = f₁.lift (λs, f₂.lift' (λt, set.prod (g₁ s) (g₂ t))) :=
begin
rw [prod_def, lift_lift'_assoc],
apply congr_arg, funext x,
rw [lift'_lift'_assoc],
exact hg₂,
exact set.monotone_prod monotone_const monotone_id,
exact hg₁,
exact (monotone_lift' monotone_const $ monotone_lam $
assume x, set.monotone_prod monotone_id monotone_const)
end
lemma prod_neq_bot {f : filter α} {g : filter β} : filter.prod f g ≠ ⊥ ↔ (f ≠ ⊥ ∧ g ≠ ⊥) :=
calc filter.prod f g ≠ ⊥ ↔ (∀s∈f.sets, g.lift' (set.prod s) ≠ ⊥) :
begin
rw [prod_def, lift_neq_bot_iff],
exact (monotone_lift' monotone_const $ monotone_lam $ assume s, set.monotone_prod monotone_id monotone_const)
end
... ↔ (∀s∈f.sets, ∀t∈g.sets, s ≠ ∅ ∧ t ≠ ∅) :
begin
apply forall_congr, intro s,
apply forall_congr, intro hs,
rw [lift'_neq_bot_iff],
apply forall_congr, intro t,
apply forall_congr, intro ht,
rw [set.prod_neq_empty_iff],
exact set.monotone_prod monotone_const monotone_id
end
... ↔ (∀s∈f.sets, s ≠ ∅) ∧ (∀t∈g.sets, t ≠ ∅) :
⟨assume h, ⟨assume s hs, (h s hs univ univ_mem_sets).left,
assume t ht, (h univ univ_mem_sets t ht).right⟩,
assume ⟨h₁, h₂⟩ s hs t ht, ⟨h₁ s hs, h₂ t ht⟩⟩
... ↔ _ : by simp only [forall_sets_neq_empty_iff_neq_bot]
lemma tendsto_prod_iff {f : α × β → γ} {x : filter α} {y : filter β} {z : filter γ} :
filter.tendsto f (filter.prod x y) z ↔
∀ W ∈ z.sets, ∃ U ∈ x.sets, ∃ V ∈ y.sets, ∀ x y, x ∈ U → y ∈ V → f (x, y) ∈ W :=
by simp only [tendsto_def, mem_prod_iff, prod_sub_preimage_iff, exists_prop, iff_self]
lemma tendsto_prod_self_iff {f : α × α → β} {x : filter α} {y : filter β} :
filter.tendsto f (filter.prod x x) y ↔
∀ W ∈ y.sets, ∃ U ∈ x.sets, ∀ (x x' : α), x ∈ U → x' ∈ U → f (x, x') ∈ W :=
by simp only [tendsto_def, mem_prod_same_iff, prod_sub_preimage_iff, exists_prop, iff_self]
end prod
/- at_top and at_bot -/
/-- `at_top` is the filter representing the limit `→ ∞` on an ordered set.
It is generated by the collection of up-sets `{b | a ≤ b}`.
(The preorder need not have a top element for this to be well defined,
and indeed is trivial when a top element exists.) -/
def at_top [preorder α] : filter α := ⨅ a, principal {b | a ≤ b}
/-- `at_bot` is the filter representing the limit `→ -∞` on an ordered set.
It is generated by the collection of down-sets `{b | b ≤ a}`.
(The preorder need not have a bottom element for this to be well defined,
and indeed is trivial when a bottom element exists.) -/
def at_bot [preorder α] : filter α := ⨅ a, principal {b | b ≤ a}
lemma mem_at_top [preorder α] (a : α) : {b : α | a ≤ b} ∈ (@at_top α _).sets :=
mem_infi_sets a $ subset.refl _
@[simp] lemma at_top_ne_bot [inhabited α] [semilattice_sup α] : (at_top : filter α) ≠ ⊥ :=
infi_neq_bot_of_directed (by apply_instance)
(assume a b, ⟨a ⊔ b, by simp only [ge, le_principal_iff, forall_const, set_of_subset_set_of,
mem_principal_sets, and_self, sup_le_iff, forall_true_iff] {contextual := tt}⟩)
(assume a, by simp only [principal_eq_bot_iff, ne.def, principal_eq_bot_iff]; exact ne_empty_of_mem (le_refl a))
@[simp] lemma mem_at_top_sets [inhabited α] [semilattice_sup α] {s : set α} :
s ∈ (at_top : filter α).sets ↔ ∃a:α, ∀b≥a, b ∈ s :=
iff.intro
(assume h, infi_sets_induct h ⟨default α, by simp only [forall_const, mem_univ, forall_true_iff]⟩
(assume a s₁ s₂ ha ⟨b, hb⟩, ⟨a ⊔ b,
assume c hc, ⟨ha $ le_trans le_sup_left hc, hb _ $ le_trans le_sup_right hc⟩⟩)
(assume s₁ s₂ h ⟨a, ha⟩, ⟨a, assume b hb, h $ ha _ hb⟩))
(assume ⟨a, h⟩, mem_infi_sets a $ assume x, h x)
lemma map_at_top_eq [inhabited α] [semilattice_sup α] {f : α → β} :
at_top.map f = (⨅a, principal $ f '' {a' | a ≤ a'}) :=
calc map f (⨅a, principal {a' | a ≤ a'}) = (⨅a, map f $ principal {a' | a ≤ a'}) :
map_infi_eq (assume a b, ⟨a ⊔ b, by simp only [ge, le_principal_iff, forall_const, set_of_subset_set_of,
mem_principal_sets, and_self, sup_le_iff, forall_true_iff] {contextual := tt}⟩) ⟨default α⟩
... = (⨅a, principal $ f '' {a' | a ≤ a'}) : by simp only [map_principal, eq_self_iff_true]
lemma tendsto_finset_image_at_top_at_top {i : β → γ} {j : γ → β} (h : ∀x, j (i x) = x) :
tendsto (λs:finset γ, s.image j) at_top at_top :=
tendsto_infi.2 $ assume s, tendsto_infi' (s.image i) $ tendsto_principal_principal.2 $
assume t (ht : s.image i ⊆ t),
calc s = (s.image i).image j :
by simp only [finset.image_image, (∘), h]; exact finset.image_id.symm
... ⊆ t.image j : finset.image_subset_image ht
/- ultrafilter -/
section ultrafilter
open zorn
variables {f g : filter α}
/-- An ultrafilter is a minimal (maximal in the set order) proper filter. -/
def ultrafilter (f : filter α) := f ≠ ⊥ ∧ ∀g, g ≠ ⊥ → g ≤ f → f ≤ g
lemma ultrafilter_pure {a : α} : ultrafilter (pure a) :=
⟨pure_neq_bot,
assume g hg ha,
have {a} ∈ g.sets, by simpa only [le_principal_iff, pure_def] using ha,
show ∀s∈g.sets, {a} ⊆ s, from classical.by_contradiction $
begin
simp only [classical.not_forall, not_imp, exists_imp_distrib, singleton_subset_iff],
exact assume s ⟨hs, hna⟩,
have {a} ∩ s ∈ g.sets, from inter_mem_sets ‹{a} ∈ g.sets› hs,
have ∅ ∈ g.sets, from mem_sets_of_superset this $
assume x ⟨hxa, hxs⟩, begin simp only [set.mem_singleton_iff] at hxa; simp only [hxa] at hxs, exact hna hxs end,
have g = ⊥, from empty_in_sets_eq_bot.mp this,
hg this
end⟩
lemma ultrafilter_unique (hg : ultrafilter g) (hf : f ≠ ⊥) (h : f ≤ g) : f = g :=
le_antisymm h (hg.right _ hf h)
lemma exists_ultrafilter (h : f ≠ ⊥) : ∃u, u ≤ f ∧ ultrafilter u :=
let
τ := {f' // f' ≠ ⊥ ∧ f' ≤ f},
r : τ → τ → Prop := λt₁ t₂, t₂.val ≤ t₁.val,
⟨a, ha⟩ := inhabited_of_mem_sets h univ_mem_sets,
top : τ := ⟨f, h, le_refl f⟩,
sup : Π(c:set τ), chain r c → τ :=
λc hc, ⟨⨅a:{a:τ // a ∈ insert top c}, a.val.val,
infi_neq_bot_of_directed ⟨a⟩
(directed_of_chain $ chain_insert hc $ assume ⟨b, _, hb⟩ _ _, or.inl hb)
(assume ⟨⟨a, ha, _⟩, _⟩, ha),
infi_le_of_le ⟨top, mem_insert _ _⟩ (le_refl _)⟩
in
have ∀c (hc: chain r c) a (ha : a ∈ c), r a (sup c hc),
from assume c hc a ha, infi_le_of_le ⟨a, mem_insert_of_mem _ ha⟩ (le_refl _),
have (∃ (u : τ), ∀ (a : τ), r u a → r a u),
from zorn (assume c hc, ⟨sup c hc, this c hc⟩) (assume f₁ f₂ f₃ h₁ h₂, le_trans h₂ h₁),
let ⟨uτ, hmin⟩ := this in
⟨uτ.val, uτ.property.right, uτ.property.left, assume g hg₁ hg₂,
hmin ⟨g, hg₁, le_trans hg₂ uτ.property.right⟩ hg₂⟩
lemma le_of_ultrafilter {g : filter α} (hf : ultrafilter f) (h : f ⊓ g ≠ ⊥) :
f ≤ g :=
le_of_inf_eq $ ultrafilter_unique hf h inf_le_left
lemma mem_or_compl_mem_of_ultrafilter (hf : ultrafilter f) (s : set α) :
s ∈ f.sets ∨ - s ∈ f.sets :=
classical.or_iff_not_imp_right.2 $ assume : - s ∉ f.sets,
have f ≤ principal s, from
le_of_ultrafilter hf $ assume h, this $ mem_sets_of_neq_bot $
by simp only [h, eq_self_iff_true, lattice.neg_neg],
by simp only [le_principal_iff] at this; assumption
lemma mem_or_mem_of_ultrafilter {s t : set α} (hf : ultrafilter f) (h : s ∪ t ∈ f.sets) :
s ∈ f.sets ∨ t ∈ f.sets :=
(mem_or_compl_mem_of_ultrafilter hf s).imp_right
(assume : -s ∈ f.sets, by filter_upwards [this, h] assume x hnx hx, hx.resolve_left hnx)
lemma mem_of_finite_sUnion_ultrafilter {s : set (set α)} (hf : ultrafilter f) (hs : finite s)
: ⋃₀ s ∈ f.sets → ∃t∈s, t ∈ f.sets :=
finite.induction_on hs (by simp only [empty_in_sets_eq_bot, hf.left, mem_empty_eq, sUnion_empty,
forall_prop_of_false, exists_false, not_false_iff, exists_prop_of_false]) $
λ t s' ht' hs' ih, by simp only [exists_prop, mem_insert_iff, set.sUnion_insert]; exact
assume h, (mem_or_mem_of_ultrafilter hf h).elim
(assume : t ∈ f.sets, ⟨t, or.inl rfl, this⟩)
(assume h, let ⟨t, hts', ht⟩ := ih h in ⟨t, or.inr hts', ht⟩)
lemma mem_of_finite_Union_ultrafilter {is : set β} {s : β → set α}
(hf : ultrafilter f) (his : finite is) (h : (⋃i∈is, s i) ∈ f.sets) : ∃i∈is, s i ∈ f.sets :=
have his : finite (image s is), from finite_image s his,
have h : (⋃₀ image s is) ∈ f.sets, from by simp only [sUnion_image, set.sUnion_image]; assumption,
let ⟨t, ⟨i, hi, h_eq⟩, (ht : t ∈ f.sets)⟩ := mem_of_finite_sUnion_ultrafilter hf his h in
⟨i, hi, h_eq.symm ▸ ht⟩
lemma ultrafilter_of_split {f : filter α} (hf : f ≠ ⊥) (h : ∀s, s ∈ f.sets ∨ - s ∈ f.sets) :
ultrafilter f :=
⟨hf, assume g hg g_le s hs, (h s).elim id $
assume : - s ∈ f.sets,
have s ∩ -s ∈ g.sets, from inter_mem_sets hs (g_le this),
by simp only [empty_in_sets_eq_bot, hg, inter_compl_self] at this; contradiction⟩
lemma ultrafilter_map {f : filter α} {m : α → β} (h : ultrafilter f) : ultrafilter (map m f) :=
ultrafilter_of_split (by simp only [map_eq_bot_iff, h.left, ne.def, map_eq_bot_iff, not_false_iff]) $
assume s, show preimage m s ∈ f.sets ∨ - preimage m s ∈ f.sets,
from mem_or_compl_mem_of_ultrafilter h (preimage m s)
/-- Construct an ultrafilter extending a given filter.
The ultrafilter lemma is the assertion that such a filter exists;
we use the axiom of choice to pick one. -/
noncomputable def ultrafilter_of (f : filter α) : filter α :=
if h : f = ⊥ then ⊥ else classical.epsilon (λu, u ≤ f ∧ ultrafilter u)
lemma ultrafilter_of_spec (h : f ≠ ⊥) : ultrafilter_of f ≤ f ∧ ultrafilter (ultrafilter_of f) :=
begin
have h' := classical.epsilon_spec (exists_ultrafilter h),
simp only [ultrafilter_of, dif_neg, h, dif_neg, not_false_iff],
simp only at h',
assumption
end
lemma ultrafilter_of_le : ultrafilter_of f ≤ f :=
if h : f = ⊥ then by simp only [ultrafilter_of, dif_pos, h, dif_pos, eq_self_iff_true, le_bot_iff]; exact le_refl _
else (ultrafilter_of_spec h).left
lemma ultrafilter_ultrafilter_of (h : f ≠ ⊥) : ultrafilter (ultrafilter_of f) :=
(ultrafilter_of_spec h).right
lemma ultrafilter_of_ultrafilter (h : ultrafilter f) : ultrafilter_of f = f :=
ultrafilter_unique h (ultrafilter_ultrafilter_of h.left).left ultrafilter_of_le
end ultrafilter
end filter
namespace filter
variables {α β γ : Type u} {f : β → filter α} {s : γ → set α}
open list
lemma mem_traverse_sets :
∀(fs : list β) (us : list γ),
forall₂ (λb c, s c ∈ (f b).sets) fs us → traverse s us ∈ (traverse f fs).sets
| [] [] forall₂.nil := mem_pure_sets.2 $ mem_singleton _
| (f::fs) (u::us) (forall₂.cons h hs) := seq_mem_seq_sets (image_mem_map h) (mem_traverse_sets fs us hs)
lemma mem_traverse_sets_iff (fs : list β) (t : set (list α)) :
t ∈ (traverse f fs).sets ↔
(∃us:list (set α), forall₂ (λb (s : set α), s ∈ (f b).sets) fs us ∧ sequence us ⊆ t) :=
begin
split,
{ induction fs generalizing t,
case nil { simp only [sequence, pure_def, imp_self, forall₂_nil_left_iff, pure_def,
exists_eq_left, mem_principal_sets, set.pure_def, singleton_subset_iff, traverse_nil] },
case cons : b fs ih t {
assume ht,
rcases mem_seq_sets_iff.1 ht with ⟨u, hu, v, hv, ht⟩,
rcases mem_map_sets_iff.1 hu with ⟨w, hw, hwu⟩,
rcases ih v hv with ⟨us, hus, hu⟩,
exact ⟨w :: us, forall₂.cons hw hus, subset.trans (set.seq_mono hwu hu) ht⟩ } },
{ rintros ⟨us, hus, hs⟩,
exact mem_sets_of_superset (mem_traverse_sets _ _ hus) hs }
end
lemma sequence_mono :
∀(as bs : list (filter α)), forall₂ (≤) as bs → sequence as ≤ sequence bs
| [] [] forall₂.nil := le_refl _
| (a::as) (b::bs) (forall₂.cons h hs) := seq_mono (map_mono h) (sequence_mono as bs hs)
end filter |
f6da461a61209d39ef685e3525ced3087473e53f | 6432ea7a083ff6ba21ea17af9ee47b9c371760f7 | /tests/lean/calcErrors.lean | ea77cb9e36abad41ec7999f92380934246d1fb1e | [
"Apache-2.0",
"LLVM-exception",
"NCSA",
"LGPL-3.0-only",
"LicenseRef-scancode-inner-net-2.0",
"BSD-3-Clause",
"LGPL-2.0-or-later",
"Spencer-94",
"LGPL-2.1-or-later",
"HPND",
"LicenseRef-scancode-pcre",
"ISC",
"LGPL-2.1-only",
"LicenseRef-scancode-other-permissive",
"SunPro",
"CMU-Mach"... | permissive | leanprover/lean4 | 4bdf9790294964627eb9be79f5e8f6157780b4cc | f1f9dc0f2f531af3312398999d8b8303fa5f096b | refs/heads/master | 1,693,360,665,786 | 1,693,350,868,000 | 1,693,350,868,000 | 129,571,436 | 2,827 | 311 | Apache-2.0 | 1,694,716,156,000 | 1,523,760,560,000 | Lean | UTF-8 | Lean | false | false | 1,566 | lean | theorem ex1 (a b c : Nat) (h₁ : a = b) (h₂ : b = c) : a + b = 0 + c + b :=
calc a + b = b + b := by rw [h₁]
_ = 0 + c + b := rfl
theorem ex2 (a b c : Nat) (h₁ : a = b) (h₂ : b = c) : a + b = 0 + c + b :=
calc a + b = b + b := by rw [h₁]
0 + c + b = 0 + c + b := rfl
theorem ex3 (a b c : Nat) (h₁ : a = b) (h₂ : b = c) : a + b = 0 + c + b :=
calc a + b = b + b := by rw [h₁]
_ = 0 + b + b := by rw [Nat.zero_add]
_ = 0 + c + b := by rw [h₂]
theorem ex4 (p : Nat → Prop) (a b : Nat) (h₁ : p a) (h₂ : p b) : p c :=
calc p a := h₁
_ := h₂
theorem ex5 (p : Nat → Nat → Prop) (a b : Nat) (h₁ : p a b) (h₂ : p b c) : p a c :=
calc p a b := h₁
p _ c := h₂
infix:50 " ≅ " => HEq
instance {α β γ} : Trans (· ≅ · : α → β → Prop) (· ≅ · : β → γ → Prop) (· ≅ · : α → γ → Prop) where
trans h₁ h₂ := HEq.trans h₁ h₂
theorem ex6 {a : α} {b : β} {c : γ} (h₁ : HEq a b) (h₂ : b ≅ c) : a ≅ c :=
calc a ≅ b := h₁
_ ≅ c := h₂ -- Error because the last two arguments of HEq are not explicit
abbrev HEqRel {α β} (a : α) (b : β) := HEq a b
infix:50 "===" => HEqRel
instance {α β γ} : Trans (HEqRel : α → β → Prop) (HEqRel : β → γ → Prop) (HEqRel : α → γ → Prop) where
trans h₁ h₂ := HEq.trans h₁ h₂
theorem ex7 {a : α} {b : β} {c : γ} (h₁ : a ≅ b) (h₂ : b ≅ c) : a === c :=
calc a === b := h₁
_ === c := h₂
|
27bc6004c85391e51bf912ade7dba4b2d290baa0 | c31182a012eec69da0a1f6c05f42b0f0717d212d | /src/facts/default.lean | 9dff2337c085a3e3ca23cf64aa37695c9ff238a7 | [] | no_license | Ja1941/lean-liquid | fbec3ffc7fc67df1b5ca95b7ee225685ab9ffbdc | 8e80ed0cbdf5145d6814e833a674eaf05a1495c1 | refs/heads/master | 1,689,437,983,362 | 1,628,362,719,000 | 1,628,362,719,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 63 | lean | import facts.int
import facts.nnreal
import facts.normed_group
|
5aecf7291cb6f4eeabe17fe9d2bec389c710af53 | 75db7e3219bba2fbf41bf5b905f34fcb3c6ca3f2 | /tests/lean/run/tactic28.lean | 27c1104da80827f883f2ae4f232f5c39c5c4761a | [
"Apache-2.0"
] | permissive | jroesch/lean | 30ef0860fa905d35b9ad6f76de1a4f65c9af6871 | 3de4ec1a6ce9a960feb2a48eeea8b53246fa34f2 | refs/heads/master | 1,586,090,835,348 | 1,455,142,203,000 | 1,455,142,277,000 | 51,536,958 | 1 | 0 | null | 1,455,215,811,000 | 1,455,215,811,000 | null | UTF-8 | Lean | false | false | 955 | lean | import logic data.num
open tactic inhabited
namespace foo
inductive sum (A : Type) (B : Type) : Type :=
| inl : A → sum A B
| inr : B → sum A B
theorem inl_inhabited {A : Type} (B : Type) (H : inhabited A) : inhabited (sum A B)
:= inhabited.destruct H (λ a, inhabited.mk (sum.inl B a))
theorem inr_inhabited (A : Type) {B : Type} (H : inhabited B) : inhabited (sum A B)
:= inhabited.destruct H (λ b, inhabited.mk (sum.inr A b))
infixl `..`:10 := append
notation `(` h `|` r:(foldl `|` (e r, tactic.or_else r e) h) `)` := r
infixl `;`:15 := tactic.and_then
reveal inl_inhabited inr_inhabited
definition my_tac := repeat (trace "iteration"; state;
( apply @inl_inhabited; trace "used inl"
.. apply @inr_inhabited; trace "used inr"
.. apply @num.is_inhabited; trace "used num")) ; now
tactic_hint my_tac
theorem T : inhabited (sum false num)
end foo
|
5766663356ff39d942fd882f54a055b341e5a402 | 4727251e0cd73359b15b664c3170e5d754078599 | /src/ring_theory/free_ring.lean | 026bd954c7a206257f17e3889f8f589486ffb0cb | [
"Apache-2.0"
] | permissive | Vierkantor/mathlib | 0ea59ac32a3a43c93c44d70f441c4ee810ccceca | 83bc3b9ce9b13910b57bda6b56222495ebd31c2f | refs/heads/master | 1,658,323,012,449 | 1,652,256,003,000 | 1,652,256,003,000 | 209,296,341 | 0 | 1 | Apache-2.0 | 1,568,807,655,000 | 1,568,807,655,000 | null | UTF-8 | Lean | false | false | 2,550 | lean | /-
Copyright (c) 2019 Kenny Lau. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kenny Lau, Johan Commelin
-/
import group_theory.free_abelian_group
/-!
# Free rings
The theory of the free ring over a type.
## Main definitions
* `free_ring α` : the free (not commutative in general) ring over a type.
* `lift (f : α → R)` : the ring hom `free_ring α →+* R` induced by `f`.
* `map (f : α → β)` : the ring hom `free_ring α →+* free_ring β` induced by `f`.
## Implementation details
`free_ring α` is implemented as the free abelian group over the free monoid on `α`.
## Tags
free ring
-/
universes u v
/-- The free ring over a type `α`. -/
@[derive [ring, inhabited]]
def free_ring (α : Type u) : Type u :=
free_abelian_group $ free_monoid α
namespace free_ring
variables {α : Type u}
/-- The canonical map from α to `free_ring α`. -/
def of (x : α) : free_ring α :=
free_abelian_group.of (free_monoid.of x)
lemma of_injective : function.injective (of : α → free_ring α) :=
free_abelian_group.of_injective.comp free_monoid.of_injective
@[elab_as_eliminator] protected lemma induction_on
{C : free_ring α → Prop} (z : free_ring α)
(hn1 : C (-1)) (hb : ∀ b, C (of b))
(ha : ∀ x y, C x → C y → C (x + y))
(hm : ∀ x y, C x → C y → C (x * y)) : C z :=
have hn : ∀ x, C x → C (-x), from λ x ih, neg_one_mul x ▸ hm _ _ hn1 ih,
have h1 : C 1, from neg_neg (1 : free_ring α) ▸ hn _ hn1,
free_abelian_group.induction_on z
(add_left_neg (1 : free_ring α) ▸ ha _ _ hn1 h1)
(λ m, list.rec_on m h1 $ λ a m ih, hm _ _ (hb a) ih)
(λ m ih, hn _ ih)
ha
section lift
variables {R : Type v} [ring R] (f : α → R)
/-- The ring homomorphism `free_ring α →+* R` induced from a map `α → R`. -/
def lift : (α → R) ≃ (free_ring α →+* R) :=
free_monoid.lift.trans free_abelian_group.lift_monoid
@[simp] lemma lift_of (x : α) : lift f (of x) = f x :=
congr_fun (lift.left_inv f) x
@[simp] lemma lift_comp_of (f : free_ring α →+* R) : lift (f ∘ of) = f :=
lift.right_inv f
@[ext]
lemma hom_ext ⦃f g : free_ring α →+* R⦄ (h : ∀ x, f (of x) = g (of x)) :
f = g :=
lift.symm.injective (funext h)
end lift
variables {β : Type v} (f : α → β)
/-- The canonical ring homomorphism `free_ring α →+* free_ring β` generated by a map `α → β`. -/
def map : free_ring α →+* free_ring β :=
lift $ of ∘ f
@[simp]
lemma map_of (x : α) : map f (of x) = of (f x) := lift_of _ _
end free_ring
|
01c3af83976d5f59653289e523c28c2cf711db46 | 63abd62053d479eae5abf4951554e1064a4c45b4 | /src/ring_theory/adjoin_root.lean | d81149c511d7aea5db68493750c2d8dd4721017b | [
"Apache-2.0"
] | permissive | Lix0120/mathlib | 0020745240315ed0e517cbf32e738d8f9811dd80 | e14c37827456fc6707f31b4d1d16f1f3a3205e91 | refs/heads/master | 1,673,102,855,024 | 1,604,151,044,000 | 1,604,151,044,000 | 308,930,245 | 0 | 0 | Apache-2.0 | 1,604,164,710,000 | 1,604,163,547,000 | null | UTF-8 | Lean | false | false | 5,435 | lean | /-
Copyright (c) 2018 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro, Chris Hughes
Adjoining roots of polynomials
-/
import data.polynomial.field_division
import ring_theory.adjoin
import ring_theory.principal_ideal_domain
/-!
# Adjoining roots of polynomials
This file defines the commutative ring `adjoin_root f`, the ring R[X]/(f) obtained from a
commutative ring `R` and a polynomial `f : R[X]`. If furthermore `R` is a field and `f` is
irreducible, the field structure on `adjoin_root f` is constructed.
## Main definitions and results
The main definitions are in the `adjoin_root` namespace.
* `mk f : polynomial R →+* adjoin_root f`, the natural ring homomorphism.
* `of f : R →+* adjoin_root f`, the natural ring homomorphism.
* `root f : adjoin_root f`, the image of X in R[X]/(f).
* `lift (i : R →+* S) (x : S) (h : f.eval₂ i x = 0) : (adjoin_root f) →+* S`, the ring
homomorphism from R[X]/(f) to S extending `i : R →+* S` and sending `X` to `x`.
-/
noncomputable theory
open_locale big_operators
universes u v w
variables {R : Type u} {S : Type v} {K : Type w}
open polynomial ideal
/-- Adjoin a root of a polynomial `f` to a commutative ring `R`. We define the new ring
as the quotient of `R` by the principal ideal of `f`. -/
def adjoin_root [comm_ring R] (f : polynomial R) : Type u :=
ideal.quotient (span {f} : ideal (polynomial R))
namespace adjoin_root
section comm_ring
variables [comm_ring R] (f : polynomial R)
instance : comm_ring (adjoin_root f) := ideal.quotient.comm_ring _
instance : inhabited (adjoin_root f) := ⟨0⟩
instance : decidable_eq (adjoin_root f) := classical.dec_eq _
/-- Ring homomorphism from `R[x]` to `adjoin_root f` sending `X` to the `root`. -/
def mk : polynomial R →+* adjoin_root f := ideal.quotient.mk _
@[elab_as_eliminator]
theorem induction_on {C : adjoin_root f → Prop} (x : adjoin_root f)
(ih : ∀ p : polynomial R, C (mk f p)) : C x :=
quotient.induction_on' x ih
/-- Embedding of the original ring `R` into `adjoin_root f`. -/
def of : R →+* adjoin_root f := (mk f).comp (ring_hom.of C)
instance : algebra R (adjoin_root f) := (of f).to_algebra
@[simp] lemma algebra_map_eq : algebra_map R (adjoin_root f) = of f := rfl
/-- The adjoined root. -/
def root : adjoin_root f := mk f X
variables {f}
instance adjoin_root.has_coe_t : has_coe_t R (adjoin_root f) := ⟨of f⟩
@[simp] lemma mk_self : mk f f = 0 :=
quotient.sound' (mem_span_singleton.2 $ by simp)
@[simp] lemma mk_C (x : R) : mk f (C x) = x := rfl
@[simp] lemma mk_X : mk f X = root f := rfl
@[simp] lemma aeval_eq (p : polynomial R) : aeval (root f) p = mk f p :=
polynomial.induction_on p (λ x, by { rw aeval_C, refl })
(λ p q ihp ihq, by rw [alg_hom.map_add, ring_hom.map_add, ihp, ihq])
(λ n x ih, by { rw [alg_hom.map_mul, aeval_C, alg_hom.map_pow, aeval_X,
ring_hom.map_mul, mk_C, ring_hom.map_pow, mk_X], refl })
theorem adjoin_root_eq_top : algebra.adjoin R ({root f} : set (adjoin_root f)) = ⊤ :=
algebra.eq_top_iff.2 $ λ x, induction_on f x $ λ p,
(algebra.adjoin_singleton_eq_range R (root f)).symm ▸ ⟨p, set.mem_univ _, aeval_eq p⟩
@[simp] lemma eval₂_root (f : polynomial R) : f.eval₂ (of f) (root f) = 0 :=
by rw [← algebra_map_eq, ← aeval_def, aeval_eq, mk_self]
lemma is_root_root (f : polynomial R) : is_root (f.map (of f)) (root f) :=
by rw [is_root, eval_map, eval₂_root]
variables [comm_ring S]
/-- Lift a ring homomorphism `i : R →+* S` to `adjoin_root f →+* S`. -/
def lift (i : R →+* S) (x : S) (h : f.eval₂ i x = 0) : (adjoin_root f) →+* S :=
begin
apply ideal.quotient.lift _ (eval₂_ring_hom i x),
intros g H,
rcases mem_span_singleton.1 H with ⟨y, hy⟩,
rw [hy, ring_hom.map_mul, coe_eval₂_ring_hom, h, zero_mul]
end
variables {i : R →+* S} {a : S} {h : f.eval₂ i a = 0}
@[simp] lemma lift_mk {g : polynomial R} : lift i a h (mk f g) = g.eval₂ i a :=
ideal.quotient.lift_mk _ _ _
@[simp] lemma lift_root : lift i a h (root f) = a := by rw [root, lift_mk, eval₂_X]
@[simp] lemma lift_of {x : R} : lift i a h x = i x :=
by rw [← mk_C x, lift_mk, eval₂_C]
@[simp] lemma lift_comp_of : (lift i a h).comp (of f) = i :=
ring_hom.ext $ λ _, @lift_of _ _ _ _ _ _ _ h _
/-- Produce an algebra homomorphism `adjoin_root f →ₐ[R] S` sending `root f` to
a root of `f` in `S`. -/
def alg_hom [algebra R S] (f : polynomial R) (x : S) (hfx : aeval x f = 0) : adjoin_root f →ₐ[R] S :=
{ commutes' := λ r, show lift _ _ hfx r = _, from lift_of,
.. lift (algebra_map R S) x hfx }
@[simp] lemma coe_alg_hom [algebra R S] (f : polynomial R) (x : S) (hfx : aeval x f = 0) :
(alg_hom f x hfx : adjoin_root f →+* S) = lift (algebra_map R S) x hfx :=
rfl
end comm_ring
variables [field K] {f : polynomial K} [irreducible f]
instance is_maximal_span : is_maximal (span {f} : ideal (polynomial K)) :=
principal_ideal_ring.is_maximal_of_irreducible ‹irreducible f›
noncomputable instance field : field (adjoin_root f) :=
ideal.quotient.field (span {f} : ideal (polynomial K))
lemma coe_injective : function.injective (coe : K → adjoin_root f) :=
(of f).injective
variable (f)
lemma mul_div_root_cancel :
((X - C (root f)) * (f.map (of f) / (X - C (root f))) : polynomial (adjoin_root f)) =
f.map (of f) :=
mul_div_eq_iff_is_root.2 $ is_root_root _
end adjoin_root
|
0f7479277d1be25d7737d98e8eea0b98a10d7dac | b7f22e51856f4989b970961f794f1c435f9b8f78 | /tests/lean/hott/rw_eta.hlean | bac3a80275eee053f05729400b3322a6051a1ca2 | [
"Apache-2.0"
] | permissive | soonhokong/lean | cb8aa01055ffe2af0fb99a16b4cda8463b882cd1 | 38607e3eb57f57f77c0ac114ad169e9e4262e24f | refs/heads/master | 1,611,187,284,081 | 1,450,766,737,000 | 1,476,122,547,000 | 11,513,992 | 2 | 0 | null | 1,401,763,102,000 | 1,374,182,235,000 | C++ | UTF-8 | Lean | false | false | 824 | hlean | open eq is_equiv funext
constant f : nat → nat → nat
example : (λ x y : nat, f x y) = f :=
rfl
namespace hide
variables {A : Type} {B : A → Type} {C : Πa, B a → Type}
definition homotopy2 [reducible] (f g : Πa b, C a b) : Type :=
Πa b, f a b = g a b
notation f `∼2`:50 g := homotopy2 f g
definition eq_of_homotopy2 {f g : Πa b, C a b} (H : f ∼2 g) : f = g :=
eq_of_homotopy (λa, eq_of_homotopy (H a))
definition apD100 {f g : Πa b, C a b} (p : f = g) : f ∼2 g :=
λa b, apd10 (apd10 p a) b
local attribute eq_of_homotopy [reducible]
definition foo (f g : Πa b, C a b) (H : f ∼2 g) (a : A)
: apD100 (eq_of_homotopy2 H) a = H a :=
begin
esimp [apD100, eq_of_homotopy2, eq_of_homotopy],
rewrite (right_inv apd10 (λ(a : A), eq_of_homotopy (H a))),
apply (right_inv apd10)
end
end hide
|
4d2b5ae26ff24a8276a32ccd6d2749b5edff5ac0 | 4727251e0cd73359b15b664c3170e5d754078599 | /src/analysis/convex/function.lean | ae15ab10353c8893db4d509057dd77db45858f0e | [
"Apache-2.0"
] | permissive | Vierkantor/mathlib | 0ea59ac32a3a43c93c44d70f441c4ee810ccceca | 83bc3b9ce9b13910b57bda6b56222495ebd31c2f | refs/heads/master | 1,658,323,012,449 | 1,652,256,003,000 | 1,652,256,003,000 | 209,296,341 | 0 | 1 | Apache-2.0 | 1,568,807,655,000 | 1,568,807,655,000 | null | UTF-8 | Lean | false | false | 40,405 | lean | /-
Copyright (c) 2019 Alexander Bentkamp. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Alexander Bentkamp, François Dupuis
-/
import analysis.convex.basic
import tactic.field_simp
import tactic.linarith
import tactic.ring
/-!
# Convex and concave functions
This file defines convex and concave functions in vector spaces and proves the finite Jensen
inequality. The integral version can be found in `analysis.convex.integral`.
A function `f : E → β` is `convex_on` a set `s` if `s` is itself a convex set, and for any two
points `x y ∈ s`, the segment joining `(x, f x)` to `(y, f y)` is above the graph of `f`.
Equivalently, `convex_on 𝕜 f s` means that the epigraph `{p : E × β | p.1 ∈ s ∧ f p.1 ≤ p.2}` is
a convex set.
## Main declarations
* `convex_on 𝕜 s f`: The function `f` is convex on `s` with scalars `𝕜`.
* `concave_on 𝕜 s f`: The function `f` is concave on `s` with scalars `𝕜`.
* `strict_convex_on 𝕜 s f`: The function `f` is strictly convex on `s` with scalars `𝕜`.
* `strict_concave_on 𝕜 s f`: The function `f` is strictly concave on `s` with scalars `𝕜`.
-/
open finset linear_map set
open_locale big_operators classical convex pointwise
variables {𝕜 E F β ι : Type*}
section ordered_semiring
variables [ordered_semiring 𝕜]
section add_comm_monoid
variables [add_comm_monoid E] [add_comm_monoid F]
section ordered_add_comm_monoid
variables [ordered_add_comm_monoid β]
section has_scalar
variables (𝕜) [has_scalar 𝕜 E] [has_scalar 𝕜 β] (s : set E) (f : E → β)
/-- Convexity of functions -/
def convex_on : Prop :=
convex 𝕜 s ∧
∀ ⦃x y : E⦄, x ∈ s → y ∈ s → ∀ ⦃a b : 𝕜⦄, 0 ≤ a → 0 ≤ b → a + b = 1 →
f (a • x + b • y) ≤ a • f x + b • f y
/-- Concavity of functions -/
def concave_on : Prop :=
convex 𝕜 s ∧
∀ ⦃x y : E⦄, x ∈ s → y ∈ s → ∀ ⦃a b : 𝕜⦄, 0 ≤ a → 0 ≤ b → a + b = 1 →
a • f x + b • f y ≤ f (a • x + b • y)
/-- Strict convexity of functions -/
def strict_convex_on : Prop :=
convex 𝕜 s ∧
∀ ⦃x y : E⦄, x ∈ s → y ∈ s → x ≠ y → ∀ ⦃a b : 𝕜⦄, 0 < a → 0 < b → a + b = 1 →
f (a • x + b • y) < a • f x + b • f y
/-- Strict concavity of functions -/
def strict_concave_on : Prop :=
convex 𝕜 s ∧
∀ ⦃x y : E⦄, x ∈ s → y ∈ s → x ≠ y → ∀ ⦃a b : 𝕜⦄, 0 < a → 0 < b → a + b = 1 →
a • f x + b • f y < f (a • x + b • y)
variables {𝕜 s f}
open order_dual (to_dual of_dual)
lemma convex_on.dual (hf : convex_on 𝕜 s f) : concave_on 𝕜 s (to_dual ∘ f) := hf
lemma concave_on.dual (hf : concave_on 𝕜 s f) : convex_on 𝕜 s (to_dual ∘ f) := hf
lemma strict_convex_on.dual (hf : strict_convex_on 𝕜 s f) : strict_concave_on 𝕜 s (to_dual ∘ f) :=
hf
lemma strict_concave_on.dual (hf : strict_concave_on 𝕜 s f) : strict_convex_on 𝕜 s (to_dual ∘ f) :=
hf
lemma convex_on_id {s : set β} (hs : convex 𝕜 s) : convex_on 𝕜 s id := ⟨hs, by { intros, refl }⟩
lemma concave_on_id {s : set β} (hs : convex 𝕜 s) : concave_on 𝕜 s id := ⟨hs, by { intros, refl }⟩
lemma convex_on.subset {t : set E} (hf : convex_on 𝕜 t f) (hst : s ⊆ t) (hs : convex 𝕜 s) :
convex_on 𝕜 s f :=
⟨hs, λ x y hx hy, hf.2 (hst hx) (hst hy)⟩
lemma concave_on.subset {t : set E} (hf : concave_on 𝕜 t f) (hst : s ⊆ t) (hs : convex 𝕜 s) :
concave_on 𝕜 s f :=
⟨hs, λ x y hx hy, hf.2 (hst hx) (hst hy)⟩
lemma strict_convex_on.subset {t : set E} (hf : strict_convex_on 𝕜 t f) (hst : s ⊆ t)
(hs : convex 𝕜 s) :
strict_convex_on 𝕜 s f :=
⟨hs, λ x y hx hy, hf.2 (hst hx) (hst hy)⟩
lemma strict_concave_on.subset {t : set E} (hf : strict_concave_on 𝕜 t f) (hst : s ⊆ t)
(hs : convex 𝕜 s) :
strict_concave_on 𝕜 s f :=
⟨hs, λ x y hx hy, hf.2 (hst hx) (hst hy)⟩
end has_scalar
section distrib_mul_action
variables [has_scalar 𝕜 E] [distrib_mul_action 𝕜 β] {s : set E} {f g : E → β}
lemma convex_on.add (hf : convex_on 𝕜 s f) (hg : convex_on 𝕜 s g) :
convex_on 𝕜 s (f + g) :=
⟨hf.1, λ x y hx hy a b ha hb hab,
calc
f (a • x + b • y) + g (a • x + b • y) ≤ (a • f x + b • f y) + (a • g x + b • g y)
: add_le_add (hf.2 hx hy ha hb hab) (hg.2 hx hy ha hb hab)
... = a • (f x + g x) + b • (f y + g y) : by rw [smul_add, smul_add, add_add_add_comm]⟩
lemma concave_on.add (hf : concave_on 𝕜 s f) (hg : concave_on 𝕜 s g) :
concave_on 𝕜 s (f + g) :=
hf.dual.add hg
end distrib_mul_action
section module
variables [has_scalar 𝕜 E] [module 𝕜 β] {s : set E} {f : E → β}
lemma convex_on_const (c : β) (hs : convex 𝕜 s) : convex_on 𝕜 s (λ x:E, c) :=
⟨hs, λ x y _ _ a b _ _ hab, (convex.combo_self hab c).ge⟩
lemma concave_on_const (c : β) (hs : convex 𝕜 s) : concave_on 𝕜 s (λ x:E, c) :=
@convex_on_const _ _ βᵒᵈ _ _ _ _ _ _ c hs
lemma convex_on_of_convex_epigraph (h : convex 𝕜 {p : E × β | p.1 ∈ s ∧ f p.1 ≤ p.2}) :
convex_on 𝕜 s f :=
⟨λ x y hx hy a b ha hb hab, (@h (x, f x) (y, f y) ⟨hx, le_rfl⟩ ⟨hy, le_rfl⟩ a b ha hb hab).1,
λ x y hx hy a b ha hb hab, (@h (x, f x) (y, f y) ⟨hx, le_rfl⟩ ⟨hy, le_rfl⟩ a b ha hb hab).2⟩
lemma concave_on_of_convex_hypograph (h : convex 𝕜 {p : E × β | p.1 ∈ s ∧ p.2 ≤ f p.1}) :
concave_on 𝕜 s f :=
@convex_on_of_convex_epigraph 𝕜 E βᵒᵈ _ _ _ _ _ _ _ h
end module
section ordered_smul
variables [has_scalar 𝕜 E] [module 𝕜 β] [ordered_smul 𝕜 β] {s : set E} {f : E → β}
lemma convex_on.convex_le (hf : convex_on 𝕜 s f) (r : β) :
convex 𝕜 {x ∈ s | f x ≤ r} :=
λ x y hx hy a b ha hb hab, ⟨hf.1 hx.1 hy.1 ha hb hab,
calc
f (a • x + b • y) ≤ a • f x + b • f y : hf.2 hx.1 hy.1 ha hb hab
... ≤ a • r + b • r : add_le_add (smul_le_smul_of_nonneg hx.2 ha)
(smul_le_smul_of_nonneg hy.2 hb)
... = r : convex.combo_self hab r⟩
lemma concave_on.convex_ge (hf : concave_on 𝕜 s f) (r : β) :
convex 𝕜 {x ∈ s | r ≤ f x} :=
hf.dual.convex_le r
lemma convex_on.convex_epigraph (hf : convex_on 𝕜 s f) :
convex 𝕜 {p : E × β | p.1 ∈ s ∧ f p.1 ≤ p.2} :=
begin
rintro ⟨x, r⟩ ⟨y, t⟩ ⟨hx, hr⟩ ⟨hy, ht⟩ a b ha hb hab,
refine ⟨hf.1 hx hy ha hb hab, _⟩,
calc f (a • x + b • y) ≤ a • f x + b • f y : hf.2 hx hy ha hb hab
... ≤ a • r + b • t : add_le_add (smul_le_smul_of_nonneg hr ha)
(smul_le_smul_of_nonneg ht hb)
end
lemma concave_on.convex_hypograph (hf : concave_on 𝕜 s f) :
convex 𝕜 {p : E × β | p.1 ∈ s ∧ p.2 ≤ f p.1} :=
hf.dual.convex_epigraph
lemma convex_on_iff_convex_epigraph :
convex_on 𝕜 s f ↔ convex 𝕜 {p : E × β | p.1 ∈ s ∧ f p.1 ≤ p.2} :=
⟨convex_on.convex_epigraph, convex_on_of_convex_epigraph⟩
lemma concave_on_iff_convex_hypograph :
concave_on 𝕜 s f ↔ convex 𝕜 {p : E × β | p.1 ∈ s ∧ p.2 ≤ f p.1} :=
@convex_on_iff_convex_epigraph 𝕜 E βᵒᵈ _ _ _ _ _ _ _ f
end ordered_smul
section module
variables [module 𝕜 E] [has_scalar 𝕜 β] {s : set E} {f : E → β}
/-- Right translation preserves convexity. -/
lemma convex_on.translate_right (hf : convex_on 𝕜 s f) (c : E) :
convex_on 𝕜 ((λ z, c + z) ⁻¹' s) (f ∘ (λ z, c + z)) :=
⟨hf.1.translate_preimage_right _, λ x y hx hy a b ha hb hab,
calc
f (c + (a • x + b • y)) = f (a • (c + x) + b • (c + y))
: by rw [smul_add, smul_add, add_add_add_comm, convex.combo_self hab]
... ≤ a • f (c + x) + b • f (c + y) : hf.2 hx hy ha hb hab⟩
/-- Right translation preserves concavity. -/
lemma concave_on.translate_right (hf : concave_on 𝕜 s f) (c : E) :
concave_on 𝕜 ((λ z, c + z) ⁻¹' s) (f ∘ (λ z, c + z)) :=
hf.dual.translate_right _
/-- Left translation preserves convexity. -/
lemma convex_on.translate_left (hf : convex_on 𝕜 s f) (c : E) :
convex_on 𝕜 ((λ z, c + z) ⁻¹' s) (f ∘ (λ z, z + c)) :=
by simpa only [add_comm] using hf.translate_right _
/-- Left translation preserves concavity. -/
lemma concave_on.translate_left (hf : concave_on 𝕜 s f) (c : E) :
concave_on 𝕜 ((λ z, c + z) ⁻¹' s) (f ∘ (λ z, z + c)) :=
hf.dual.translate_left _
end module
section module
variables [module 𝕜 E] [module 𝕜 β]
lemma convex_on_iff_forall_pos {s : set E} {f : E → β} :
convex_on 𝕜 s f ↔ convex 𝕜 s ∧
∀ ⦃x y : E⦄, x ∈ s → y ∈ s → ∀ ⦃a b : 𝕜⦄, 0 < a → 0 < b → a + b = 1
→ f (a • x + b • y) ≤ a • f x + b • f y :=
begin
refine and_congr_right' ⟨λ h x y hx hy a b ha hb hab, h hx hy ha.le hb.le hab,
λ h x y hx hy a b ha hb hab, _⟩,
obtain rfl | ha' := ha.eq_or_lt,
{ rw [zero_add] at hab, subst b, simp_rw [zero_smul, zero_add, one_smul] },
obtain rfl | hb' := hb.eq_or_lt,
{ rw [add_zero] at hab, subst a, simp_rw [zero_smul, add_zero, one_smul] },
exact h hx hy ha' hb' hab,
end
lemma concave_on_iff_forall_pos {s : set E} {f : E → β} :
concave_on 𝕜 s f ↔ convex 𝕜 s ∧
∀ ⦃x y : E⦄, x ∈ s → y ∈ s → ∀ ⦃a b : 𝕜⦄, 0 < a → 0 < b → a + b = 1
→ a • f x + b • f y ≤ f (a • x + b • y) :=
@convex_on_iff_forall_pos 𝕜 E βᵒᵈ _ _ _ _ _ _ _
lemma convex_on_iff_pairwise_pos {s : set E} {f : E → β} :
convex_on 𝕜 s f ↔ convex 𝕜 s ∧
s.pairwise (λ x y, ∀ ⦃a b : 𝕜⦄, 0 < a → 0 < b → a + b = 1
→ f (a • x + b • y) ≤ a • f x + b • f y) :=
begin
rw convex_on_iff_forall_pos,
refine and_congr_right' ⟨λ h x hx y hy _ a b ha hb hab, h hx hy ha hb hab,
λ h x y hx hy a b ha hb hab, _⟩,
obtain rfl | hxy := eq_or_ne x y,
{ rw [convex.combo_self hab, convex.combo_self hab] },
exact h hx hy hxy ha hb hab,
end
lemma concave_on_iff_pairwise_pos {s : set E} {f : E → β} :
concave_on 𝕜 s f ↔ convex 𝕜 s ∧
s.pairwise (λ x y, ∀ ⦃a b : 𝕜⦄, 0 < a → 0 < b → a + b = 1
→ a • f x + b • f y ≤ f (a • x + b • y)) :=
@convex_on_iff_pairwise_pos 𝕜 E βᵒᵈ _ _ _ _ _ _ _
/-- A linear map is convex. -/
lemma linear_map.convex_on (f : E →ₗ[𝕜] β) {s : set E} (hs : convex 𝕜 s) : convex_on 𝕜 s f :=
⟨hs, λ _ _ _ _ _ _ _ _ _, by rw [f.map_add, f.map_smul, f.map_smul]⟩
/-- A linear map is concave. -/
lemma linear_map.concave_on (f : E →ₗ[𝕜] β) {s : set E} (hs : convex 𝕜 s) : concave_on 𝕜 s f :=
⟨hs, λ _ _ _ _ _ _ _ _ _, by rw [f.map_add, f.map_smul, f.map_smul]⟩
lemma strict_convex_on.convex_on {s : set E} {f : E → β} (hf : strict_convex_on 𝕜 s f) :
convex_on 𝕜 s f :=
convex_on_iff_pairwise_pos.mpr ⟨hf.1, λ x hx y hy hxy a b ha hb hab, (hf.2 hx hy hxy ha hb hab).le⟩
lemma strict_concave_on.concave_on {s : set E} {f : E → β} (hf : strict_concave_on 𝕜 s f) :
concave_on 𝕜 s f :=
hf.dual.convex_on
section ordered_smul
variables [ordered_smul 𝕜 β] {s : set E} {f : E → β}
lemma strict_convex_on.convex_lt (hf : strict_convex_on 𝕜 s f) (r : β) :
convex 𝕜 {x ∈ s | f x < r} :=
convex_iff_pairwise_pos.2 $ λ x hx y hy hxy a b ha hb hab, ⟨hf.1 hx.1 hy.1 ha.le hb.le hab,
calc
f (a • x + b • y) < a • f x + b • f y : hf.2 hx.1 hy.1 hxy ha hb hab
... ≤ a • r + b • r : add_le_add (smul_lt_smul_of_pos hx.2 ha).le
(smul_lt_smul_of_pos hy.2 hb).le
... = r : convex.combo_self hab r⟩
lemma strict_concave_on.convex_gt (hf : strict_concave_on 𝕜 s f) (r : β) :
convex 𝕜 {x ∈ s | r < f x} :=
hf.dual.convex_lt r
end ordered_smul
section linear_order
variables [linear_order E] {s : set E} {f : E → β}
/-- For a function on a convex set in a linearly ordered space (where the order and the algebraic
structures aren't necessarily compatible), in order to prove that it is convex, it suffices to
verify the inequality `f (a • x + b • y) ≤ a • f x + b • f y` only for `x < y` and positive `a`,
`b`. The main use case is `E = 𝕜` however one can apply it, e.g., to `𝕜^n` with lexicographic order.
-/
lemma linear_order.convex_on_of_lt (hs : convex 𝕜 s)
(hf : ∀ ⦃x y : E⦄, x ∈ s → y ∈ s → x < y → ∀ ⦃a b : 𝕜⦄, 0 < a → 0 < b → a + b = 1 →
f (a • x + b • y) ≤ a • f x + b • f y) : convex_on 𝕜 s f :=
begin
refine convex_on_iff_pairwise_pos.2 ⟨hs, λ x hx y hy hxy a b ha hb hab, _⟩,
wlog h : x ≤ y using [x y a b, y x b a],
{ exact le_total _ _ },
exact hf hx hy (h.lt_of_ne hxy) ha hb hab,
end
/-- For a function on a convex set in a linearly ordered space (where the order and the algebraic
structures aren't necessarily compatible), in order to prove that it is concave it suffices to
verify the inequality `a • f x + b • f y ≤ f (a • x + b • y)` for `x < y` and positive `a`, `b`. The
main use case is `E = ℝ` however one can apply it, e.g., to `ℝ^n` with lexicographic order. -/
lemma linear_order.concave_on_of_lt (hs : convex 𝕜 s)
(hf : ∀ ⦃x y : E⦄, x ∈ s → y ∈ s → x < y → ∀ ⦃a b : 𝕜⦄, 0 < a → 0 < b → a + b = 1 →
a • f x + b • f y ≤ f (a • x + b • y)) : concave_on 𝕜 s f :=
@linear_order.convex_on_of_lt _ _ βᵒᵈ _ _ _ _ _ _ s f hs hf
/-- For a function on a convex set in a linearly ordered space (where the order and the algebraic
structures aren't necessarily compatible), in order to prove that it is convex, it suffices to
verify the inequality `f (a • x + b • y) ≤ a • f x + b • f y` for `x < y` and positive `a`, `b`. The
main use case is `E = 𝕜` however one can apply it, e.g., to `𝕜^n` with lexicographic order. -/
lemma linear_order.strict_convex_on_of_lt (hs : convex 𝕜 s)
(hf : ∀ ⦃x y : E⦄, x ∈ s → y ∈ s → x < y → ∀ ⦃a b : 𝕜⦄, 0 < a → 0 < b → a + b = 1 →
f (a • x + b • y) < a • f x + b • f y) : strict_convex_on 𝕜 s f :=
begin
refine ⟨hs, λ x y hx hy hxy a b ha hb hab, _⟩,
wlog h : x ≤ y using [x y a b, y x b a],
{ exact le_total _ _ },
exact hf hx hy (h.lt_of_ne hxy) ha hb hab,
end
/-- For a function on a convex set in a linearly ordered space (where the order and the algebraic
structures aren't necessarily compatible), in order to prove that it is concave it suffices to
verify the inequality `a • f x + b • f y ≤ f (a • x + b • y)` for `x < y` and positive `a`, `b`. The
main use case is `E = 𝕜` however one can apply it, e.g., to `𝕜^n` with lexicographic order. -/
lemma linear_order.strict_concave_on_of_lt (hs : convex 𝕜 s)
(hf : ∀ ⦃x y : E⦄, x ∈ s → y ∈ s → x < y → ∀ ⦃a b : 𝕜⦄, 0 < a → 0 < b → a + b = 1 →
a • f x + b • f y < f (a • x + b • y)) : strict_concave_on 𝕜 s f :=
@linear_order.strict_convex_on_of_lt _ _ βᵒᵈ _ _ _ _ _ _ _ _ hs hf
end linear_order
end module
section module
variables [module 𝕜 E] [module 𝕜 F] [has_scalar 𝕜 β]
/-- If `g` is convex on `s`, so is `(f ∘ g)` on `f ⁻¹' s` for a linear `f`. -/
lemma convex_on.comp_linear_map {f : F → β} {s : set F} (hf : convex_on 𝕜 s f) (g : E →ₗ[𝕜] F) :
convex_on 𝕜 (g ⁻¹' s) (f ∘ g) :=
⟨hf.1.linear_preimage _, λ x y hx hy a b ha hb hab,
calc
f (g (a • x + b • y)) = f (a • (g x) + b • (g y)) : by rw [g.map_add, g.map_smul, g.map_smul]
... ≤ a • f (g x) + b • f (g y) : hf.2 hx hy ha hb hab⟩
/-- If `g` is concave on `s`, so is `(g ∘ f)` on `f ⁻¹' s` for a linear `f`. -/
lemma concave_on.comp_linear_map {f : F → β} {s : set F} (hf : concave_on 𝕜 s f) (g : E →ₗ[𝕜] F) :
concave_on 𝕜 (g ⁻¹' s) (f ∘ g) :=
hf.dual.comp_linear_map g
end module
end ordered_add_comm_monoid
section ordered_cancel_add_comm_monoid
variables [ordered_cancel_add_comm_monoid β]
section distrib_mul_action
variables [has_scalar 𝕜 E] [distrib_mul_action 𝕜 β] {s : set E} {f g : E → β}
lemma strict_convex_on.add_convex_on (hf : strict_convex_on 𝕜 s f) (hg : convex_on 𝕜 s g) :
strict_convex_on 𝕜 s (f + g) :=
⟨hf.1, λ x y hx hy hxy a b ha hb hab,
calc
f (a • x + b • y) + g (a • x + b • y) < (a • f x + b • f y) + (a • g x + b • g y)
: add_lt_add_of_lt_of_le (hf.2 hx hy hxy ha hb hab) (hg.2 hx hy ha.le hb.le hab)
... = a • (f x + g x) + b • (f y + g y) : by rw [smul_add, smul_add, add_add_add_comm]⟩
lemma convex_on.add_strict_convex_on (hf : convex_on 𝕜 s f) (hg : strict_convex_on 𝕜 s g) :
strict_convex_on 𝕜 s (f + g) :=
(add_comm g f) ▸ hg.add_convex_on hf
lemma strict_convex_on.add (hf : strict_convex_on 𝕜 s f) (hg : strict_convex_on 𝕜 s g) :
strict_convex_on 𝕜 s (f + g) :=
⟨hf.1, λ x y hx hy hxy a b ha hb hab,
calc
f (a • x + b • y) + g (a • x + b • y) < (a • f x + b • f y) + (a • g x + b • g y)
: add_lt_add (hf.2 hx hy hxy ha hb hab) (hg.2 hx hy hxy ha hb hab)
... = a • (f x + g x) + b • (f y + g y) : by rw [smul_add, smul_add, add_add_add_comm]⟩
lemma strict_concave_on.add_concave_on (hf : strict_concave_on 𝕜 s f) (hg : concave_on 𝕜 s g) :
strict_concave_on 𝕜 s (f + g) :=
hf.dual.add_convex_on hg.dual
lemma concave_on.add_strict_concave_on (hf : concave_on 𝕜 s f) (hg : strict_concave_on 𝕜 s g) :
strict_concave_on 𝕜 s (f + g) :=
hf.dual.add_strict_convex_on hg.dual
lemma strict_concave_on.add (hf : strict_concave_on 𝕜 s f) (hg : strict_concave_on 𝕜 s g) :
strict_concave_on 𝕜 s (f + g) :=
hf.dual.add hg
end distrib_mul_action
section module
variables [module 𝕜 E] [module 𝕜 β] [ordered_smul 𝕜 β] {s : set E} {f : E → β}
lemma convex_on.convex_lt (hf : convex_on 𝕜 s f) (r : β) : convex 𝕜 {x ∈ s | f x < r} :=
convex_iff_forall_pos.2 $ λ x y hx hy a b ha hb hab, ⟨hf.1 hx.1 hy.1 ha.le hb.le hab,
calc
f (a • x + b • y)
≤ a • f x + b • f y : hf.2 hx.1 hy.1 ha.le hb.le hab
... < a • r + b • r : add_lt_add_of_lt_of_le (smul_lt_smul_of_pos hx.2 ha)
(smul_le_smul_of_nonneg hy.2.le hb.le)
... = r : convex.combo_self hab _⟩
lemma concave_on.convex_gt (hf : concave_on 𝕜 s f) (r : β) : convex 𝕜 {x ∈ s | r < f x} :=
hf.dual.convex_lt r
lemma convex_on.open_segment_subset_strict_epigraph (hf : convex_on 𝕜 s f) (p q : E × β)
(hp : p.1 ∈ s ∧ f p.1 < p.2) (hq : q.1 ∈ s ∧ f q.1 ≤ q.2) :
open_segment 𝕜 p q ⊆ {p : E × β | p.1 ∈ s ∧ f p.1 < p.2} :=
begin
rintro _ ⟨a, b, ha, hb, hab, rfl⟩,
refine ⟨hf.1 hp.1 hq.1 ha.le hb.le hab, _⟩,
calc f (a • p.1 + b • q.1) ≤ a • f p.1 + b • f q.1 : hf.2 hp.1 hq.1 ha.le hb.le hab
... < a • p.2 + b • q.2 :
add_lt_add_of_lt_of_le (smul_lt_smul_of_pos hp.2 ha) (smul_le_smul_of_nonneg hq.2 hb.le)
end
lemma concave_on.open_segment_subset_strict_hypograph (hf : concave_on 𝕜 s f) (p q : E × β)
(hp : p.1 ∈ s ∧ p.2 < f p.1) (hq : q.1 ∈ s ∧ q.2 ≤ f q.1) :
open_segment 𝕜 p q ⊆ {p : E × β | p.1 ∈ s ∧ p.2 < f p.1} :=
hf.dual.open_segment_subset_strict_epigraph p q hp hq
lemma convex_on.convex_strict_epigraph (hf : convex_on 𝕜 s f) :
convex 𝕜 {p : E × β | p.1 ∈ s ∧ f p.1 < p.2} :=
convex_iff_open_segment_subset.mpr $
λ p q hp hq, hf.open_segment_subset_strict_epigraph p q hp ⟨hq.1, hq.2.le⟩
lemma concave_on.convex_strict_hypograph (hf : concave_on 𝕜 s f) :
convex 𝕜 {p : E × β | p.1 ∈ s ∧ p.2 < f p.1} :=
hf.dual.convex_strict_epigraph
end module
end ordered_cancel_add_comm_monoid
section linear_ordered_add_comm_monoid
variables [linear_ordered_add_comm_monoid β] [has_scalar 𝕜 E] [module 𝕜 β] [ordered_smul 𝕜 β]
{s : set E} {f g : E → β}
/-- The pointwise maximum of convex functions is convex. -/
lemma convex_on.sup (hf : convex_on 𝕜 s f) (hg : convex_on 𝕜 s g) :
convex_on 𝕜 s (f ⊔ g) :=
begin
refine ⟨hf.left, λ x y hx hy a b ha hb hab, sup_le _ _⟩,
{ calc f (a • x + b • y) ≤ a • f x + b • f y : hf.right hx hy ha hb hab
... ≤ a • (f x ⊔ g x) + b • (f y ⊔ g y) : add_le_add
(smul_le_smul_of_nonneg le_sup_left ha)
(smul_le_smul_of_nonneg le_sup_left hb) },
{ calc g (a • x + b • y) ≤ a • g x + b • g y : hg.right hx hy ha hb hab
... ≤ a • (f x ⊔ g x) + b • (f y ⊔ g y) : add_le_add
(smul_le_smul_of_nonneg le_sup_right ha)
(smul_le_smul_of_nonneg le_sup_right hb) }
end
/-- The pointwise minimum of concave functions is concave. -/
lemma concave_on.inf (hf : concave_on 𝕜 s f) (hg : concave_on 𝕜 s g) :
concave_on 𝕜 s (f ⊓ g) :=
hf.dual.sup hg
/-- The pointwise maximum of strictly convex functions is strictly convex. -/
lemma strict_convex_on.sup (hf : strict_convex_on 𝕜 s f) (hg : strict_convex_on 𝕜 s g) :
strict_convex_on 𝕜 s (f ⊔ g) :=
⟨hf.left, λ x y hx hy hxy a b ha hb hab, max_lt
(calc f (a • x + b • y) < a • f x + b • f y : hf.2 hx hy hxy ha hb hab
... ≤ a • (f x ⊔ g x) + b • (f y ⊔ g y) : add_le_add
(smul_le_smul_of_nonneg le_sup_left ha.le)
(smul_le_smul_of_nonneg le_sup_left hb.le))
(calc g (a • x + b • y) < a • g x + b • g y : hg.2 hx hy hxy ha hb hab
... ≤ a • (f x ⊔ g x) + b • (f y ⊔ g y) : add_le_add
(smul_le_smul_of_nonneg le_sup_right ha.le)
(smul_le_smul_of_nonneg le_sup_right hb.le))⟩
/-- The pointwise minimum of strictly concave functions is strictly concave. -/
lemma strict_concave_on.inf (hf : strict_concave_on 𝕜 s f) (hg : strict_concave_on 𝕜 s g) :
strict_concave_on 𝕜 s (f ⊓ g) :=
hf.dual.sup hg
/-- A convex function on a segment is upper-bounded by the max of its endpoints. -/
lemma convex_on.le_on_segment' (hf : convex_on 𝕜 s f) {x y : E} (hx : x ∈ s) (hy : y ∈ s)
{a b : 𝕜} (ha : 0 ≤ a) (hb : 0 ≤ b) (hab : a + b = 1) :
f (a • x + b • y) ≤ max (f x) (f y) :=
calc
f (a • x + b • y) ≤ a • f x + b • f y : hf.2 hx hy ha hb hab
... ≤ a • max (f x) (f y) + b • max (f x) (f y) :
add_le_add (smul_le_smul_of_nonneg (le_max_left _ _) ha)
(smul_le_smul_of_nonneg (le_max_right _ _) hb)
... = max (f x) (f y) : convex.combo_self hab _
/-- A concave function on a segment is lower-bounded by the min of its endpoints. -/
lemma concave_on.ge_on_segment' (hf : concave_on 𝕜 s f) {x y : E} (hx : x ∈ s) (hy : y ∈ s)
{a b : 𝕜} (ha : 0 ≤ a) (hb : 0 ≤ b) (hab : a + b = 1) :
min (f x) (f y) ≤ f (a • x + b • y) :=
hf.dual.le_on_segment' hx hy ha hb hab
/-- A convex function on a segment is upper-bounded by the max of its endpoints. -/
lemma convex_on.le_on_segment (hf : convex_on 𝕜 s f) {x y z : E} (hx : x ∈ s) (hy : y ∈ s)
(hz : z ∈ [x -[𝕜] y]) :
f z ≤ max (f x) (f y) :=
let ⟨a, b, ha, hb, hab, hz⟩ := hz in hz ▸ hf.le_on_segment' hx hy ha hb hab
/-- A concave function on a segment is lower-bounded by the min of its endpoints. -/
lemma concave_on.ge_on_segment (hf : concave_on 𝕜 s f) {x y z : E} (hx : x ∈ s) (hy : y ∈ s)
(hz : z ∈ [x -[𝕜] y]) :
min (f x) (f y) ≤ f z :=
hf.dual.le_on_segment hx hy hz
/-- A strictly convex function on an open segment is strictly upper-bounded by the max of its
endpoints. -/
lemma strict_convex_on.lt_on_open_segment' (hf : strict_convex_on 𝕜 s f) {x y : E} (hx : x ∈ s)
(hy : y ∈ s) (hxy : x ≠ y) {a b : 𝕜} (ha : 0 < a) (hb : 0 < b) (hab : a + b = 1) :
f (a • x + b • y) < max (f x) (f y) :=
calc
f (a • x + b • y) < a • f x + b • f y : hf.2 hx hy hxy ha hb hab
... ≤ a • max (f x) (f y) + b • max (f x) (f y) :
add_le_add (smul_le_smul_of_nonneg (le_max_left _ _) ha.le)
(smul_le_smul_of_nonneg (le_max_right _ _) hb.le)
... = max (f x) (f y) : convex.combo_self hab _
/-- A strictly concave function on an open segment is strictly lower-bounded by the min of its
endpoints. -/
lemma strict_concave_on.lt_on_open_segment' (hf : strict_concave_on 𝕜 s f) {x y : E} (hx : x ∈ s)
(hy : y ∈ s) (hxy : x ≠ y) {a b : 𝕜} (ha : 0 < a) (hb : 0 < b) (hab : a + b = 1) :
min (f x) (f y) < f (a • x + b • y) :=
hf.dual.lt_on_open_segment' hx hy hxy ha hb hab
/-- A strictly convex function on an open segment is strictly upper-bounded by the max of its
endpoints. -/
lemma strict_convex_on.lt_on_open_segment (hf : strict_convex_on 𝕜 s f) {x y z : E} (hx : x ∈ s)
(hy : y ∈ s) (hxy : x ≠ y) (hz : z ∈ open_segment 𝕜 x y) :
f z < max (f x) (f y) :=
let ⟨a, b, ha, hb, hab, hz⟩ := hz in hz ▸ hf.lt_on_open_segment' hx hy hxy ha hb hab
/-- A strictly concave function on an open segment is strictly lower-bounded by the min of its
endpoints. -/
lemma strict_concave_on.lt_on_open_segment (hf : strict_concave_on 𝕜 s f) {x y z : E} (hx : x ∈ s)
(hy : y ∈ s) (hxy : x ≠ y) (hz : z ∈ open_segment 𝕜 x y) :
min (f x) (f y) < f z :=
hf.dual.lt_on_open_segment hx hy hxy hz
end linear_ordered_add_comm_monoid
section linear_ordered_cancel_add_comm_monoid
variables [linear_ordered_cancel_add_comm_monoid β]
section ordered_smul
variables [has_scalar 𝕜 E] [module 𝕜 β] [ordered_smul 𝕜 β] {s : set E} {f g : E → β}
lemma convex_on.le_left_of_right_le' (hf : convex_on 𝕜 s f) {x y : E} (hx : x ∈ s) (hy : y ∈ s)
{a b : 𝕜} (ha : 0 < a) (hb : 0 ≤ b) (hab : a + b = 1) (hfy : f y ≤ f (a • x + b • y)) :
f (a • x + b • y) ≤ f x :=
le_of_not_lt $ λ h, lt_irrefl (f (a • x + b • y)) $
calc
f (a • x + b • y)
≤ a • f x + b • f y : hf.2 hx hy ha.le hb hab
... < a • f (a • x + b • y) + b • f (a • x + b • y)
: add_lt_add_of_lt_of_le (smul_lt_smul_of_pos h ha) (smul_le_smul_of_nonneg hfy hb)
... = f (a • x + b • y) : convex.combo_self hab _
lemma concave_on.left_le_of_le_right' (hf : concave_on 𝕜 s f) {x y : E} (hx : x ∈ s) (hy : y ∈ s)
{a b : 𝕜} (ha : 0 < a) (hb : 0 ≤ b) (hab : a + b = 1) (hfy : f (a • x + b • y) ≤ f y) :
f x ≤ f (a • x + b • y) :=
hf.dual.le_left_of_right_le' hx hy ha hb hab hfy
lemma convex_on.le_right_of_left_le' (hf : convex_on 𝕜 s f) {x y : E} {a b : 𝕜}
(hx : x ∈ s) (hy : y ∈ s) (ha : 0 ≤ a) (hb : 0 < b) (hab : a + b = 1)
(hfx : f x ≤ f (a • x + b • y)) :
f (a • x + b • y) ≤ f y :=
begin
rw add_comm at ⊢ hab hfx,
exact hf.le_left_of_right_le' hy hx hb ha hab hfx,
end
lemma concave_on.le_right_of_left_le' (hf : concave_on 𝕜 s f) {x y : E} {a b : 𝕜}
(hx : x ∈ s) (hy : y ∈ s) (ha : 0 ≤ a) (hb : 0 < b) (hab : a + b = 1)
(hfx : f (a • x + b • y) ≤ f x) :
f y ≤ f (a • x + b • y) :=
hf.dual.le_right_of_left_le' hx hy ha hb hab hfx
lemma convex_on.le_left_of_right_le (hf : convex_on 𝕜 s f) {x y z : E} (hx : x ∈ s)
(hy : y ∈ s) (hz : z ∈ open_segment 𝕜 x y) (hyz : f y ≤ f z) :
f z ≤ f x :=
begin
obtain ⟨a, b, ha, hb, hab, rfl⟩ := hz,
exact hf.le_left_of_right_le' hx hy ha hb.le hab hyz,
end
lemma concave_on.left_le_of_le_right (hf : concave_on 𝕜 s f) {x y z : E} (hx : x ∈ s)
(hy : y ∈ s) (hz : z ∈ open_segment 𝕜 x y) (hyz : f z ≤ f y) :
f x ≤ f z :=
hf.dual.le_left_of_right_le hx hy hz hyz
lemma convex_on.le_right_of_left_le (hf : convex_on 𝕜 s f) {x y z : E} (hx : x ∈ s)
(hy : y ∈ s) (hz : z ∈ open_segment 𝕜 x y) (hxz : f x ≤ f z) :
f z ≤ f y :=
begin
obtain ⟨a, b, ha, hb, hab, rfl⟩ := hz,
exact hf.le_right_of_left_le' hx hy ha.le hb hab hxz,
end
lemma concave_on.le_right_of_left_le (hf : concave_on 𝕜 s f) {x y z : E} (hx : x ∈ s)
(hy : y ∈ s) (hz : z ∈ open_segment 𝕜 x y) (hxz : f z ≤ f x) :
f y ≤ f z :=
hf.dual.le_right_of_left_le hx hy hz hxz
end ordered_smul
section module
variables [module 𝕜 E] [module 𝕜 β] [ordered_smul 𝕜 β] {s : set E} {f g : E → β}
/- The following lemmas don't require `module 𝕜 E` if you add the hypothesis `x ≠ y`. At the time of
the writing, we decided the resulting lemmas wouldn't be useful. Feel free to reintroduce them. -/
lemma strict_convex_on.lt_left_of_right_lt' (hf : strict_convex_on 𝕜 s f) {x y : E} (hx : x ∈ s)
(hy : y ∈ s) {a b : 𝕜} (ha : 0 < a) (hb : 0 < b) (hab : a + b = 1)
(hfy : f y < f (a • x + b • y)) :
f (a • x + b • y) < f x :=
not_le.1 $ λ h, lt_irrefl (f (a • x + b • y)) $
calc
f (a • x + b • y)
< a • f x + b • f y : hf.2 hx hy begin
rintro rfl,
rw convex.combo_self hab at hfy,
exact lt_irrefl _ hfy,
end ha hb hab
... < a • f (a • x + b • y) + b • f (a • x + b • y)
: add_lt_add_of_le_of_lt (smul_le_smul_of_nonneg h ha.le) (smul_lt_smul_of_pos hfy hb)
... = f (a • x + b • y) : convex.combo_self hab _
lemma strict_concave_on.left_lt_of_lt_right' (hf : strict_concave_on 𝕜 s f) {x y : E} (hx : x ∈ s)
(hy : y ∈ s) {a b : 𝕜} (ha : 0 < a) (hb : 0 < b) (hab : a + b = 1)
(hfy : f (a • x + b • y) < f y) :
f x < f (a • x + b • y) :=
hf.dual.lt_left_of_right_lt' hx hy ha hb hab hfy
lemma strict_convex_on.lt_right_of_left_lt' (hf : strict_convex_on 𝕜 s f) {x y : E} {a b : 𝕜}
(hx : x ∈ s) (hy : y ∈ s) (ha : 0 < a) (hb : 0 < b) (hab : a + b = 1)
(hfx : f x < f (a • x + b • y)) :
f (a • x + b • y) < f y :=
begin
rw add_comm at ⊢ hab hfx,
exact hf.lt_left_of_right_lt' hy hx hb ha hab hfx,
end
lemma strict_concave_on.lt_right_of_left_lt' (hf : strict_concave_on 𝕜 s f) {x y : E} {a b : 𝕜}
(hx : x ∈ s) (hy : y ∈ s) (ha : 0 < a) (hb : 0 < b) (hab : a + b = 1)
(hfx : f (a • x + b • y) < f x) :
f y < f (a • x + b • y) :=
hf.dual.lt_right_of_left_lt' hx hy ha hb hab hfx
lemma strict_convex_on.lt_left_of_right_lt (hf : strict_convex_on 𝕜 s f) {x y z : E} (hx : x ∈ s)
(hy : y ∈ s) (hz : z ∈ open_segment 𝕜 x y) (hyz : f y < f z) :
f z < f x :=
begin
obtain ⟨a, b, ha, hb, hab, rfl⟩ := hz,
exact hf.lt_left_of_right_lt' hx hy ha hb hab hyz,
end
lemma strict_concave_on.left_lt_of_lt_right (hf : strict_concave_on 𝕜 s f) {x y z : E} (hx : x ∈ s)
(hy : y ∈ s) (hz : z ∈ open_segment 𝕜 x y) (hyz : f z < f y) :
f x < f z :=
hf.dual.lt_left_of_right_lt hx hy hz hyz
lemma strict_convex_on.lt_right_of_left_lt (hf : strict_convex_on 𝕜 s f) {x y z : E} (hx : x ∈ s)
(hy : y ∈ s) (hz : z ∈ open_segment 𝕜 x y) (hxz : f x < f z) :
f z < f y :=
begin
obtain ⟨a, b, ha, hb, hab, rfl⟩ := hz,
exact hf.lt_right_of_left_lt' hx hy ha hb hab hxz,
end
lemma strict_concave_on.lt_right_of_left_lt (hf : strict_concave_on 𝕜 s f) {x y z : E} (hx : x ∈ s)
(hy : y ∈ s) (hz : z ∈ open_segment 𝕜 x y) (hxz : f z < f x) :
f y < f z :=
hf.dual.lt_right_of_left_lt hx hy hz hxz
end module
end linear_ordered_cancel_add_comm_monoid
section ordered_add_comm_group
variables [ordered_add_comm_group β] [has_scalar 𝕜 E] [module 𝕜 β] {s : set E} {f g : E → β}
/-- A function `-f` is convex iff `f` is concave. -/
@[simp] lemma neg_convex_on_iff : convex_on 𝕜 s (-f) ↔ concave_on 𝕜 s f :=
begin
split,
{ rintro ⟨hconv, h⟩,
refine ⟨hconv, λ x y hx hy a b ha hb hab, _⟩,
simp [neg_apply, neg_le, add_comm] at h,
exact h hx hy ha hb hab },
{ rintro ⟨hconv, h⟩,
refine ⟨hconv, λ x y hx hy a b ha hb hab, _⟩,
rw ←neg_le_neg_iff,
simp_rw [neg_add, pi.neg_apply, smul_neg, neg_neg],
exact h hx hy ha hb hab }
end
/-- A function `-f` is concave iff `f` is convex. -/
@[simp] lemma neg_concave_on_iff : concave_on 𝕜 s (-f) ↔ convex_on 𝕜 s f:=
by rw [← neg_convex_on_iff, neg_neg f]
/-- A function `-f` is strictly convex iff `f` is strictly concave. -/
@[simp] lemma neg_strict_convex_on_iff : strict_convex_on 𝕜 s (-f) ↔ strict_concave_on 𝕜 s f :=
begin
split,
{ rintro ⟨hconv, h⟩,
refine ⟨hconv, λ x y hx hy hxy a b ha hb hab, _⟩,
simp [neg_apply, neg_lt, add_comm] at h,
exact h hx hy hxy ha hb hab },
{ rintro ⟨hconv, h⟩,
refine ⟨hconv, λ x y hx hy hxy a b ha hb hab, _⟩,
rw ←neg_lt_neg_iff,
simp_rw [neg_add, pi.neg_apply, smul_neg, neg_neg],
exact h hx hy hxy ha hb hab }
end
/-- A function `-f` is strictly concave iff `f` is strictly convex. -/
@[simp] lemma neg_strict_concave_on_iff : strict_concave_on 𝕜 s (-f) ↔ strict_convex_on 𝕜 s f :=
by rw [← neg_strict_convex_on_iff, neg_neg f]
alias neg_convex_on_iff ↔ _ concave_on.neg
alias neg_concave_on_iff ↔ _ convex_on.neg
alias neg_strict_convex_on_iff ↔ _ strict_concave_on.neg
alias neg_strict_concave_on_iff ↔ _ strict_convex_on.neg
lemma convex_on.sub (hf : convex_on 𝕜 s f) (hg : concave_on 𝕜 s g) : convex_on 𝕜 s (f - g) :=
(sub_eq_add_neg f g).symm ▸ hf.add hg.neg
lemma concave_on.sub (hf : concave_on 𝕜 s f) (hg : convex_on 𝕜 s g) : concave_on 𝕜 s (f - g) :=
(sub_eq_add_neg f g).symm ▸ hf.add hg.neg
lemma strict_convex_on.sub (hf : strict_convex_on 𝕜 s f) (hg : strict_concave_on 𝕜 s g) :
strict_convex_on 𝕜 s (f - g) :=
(sub_eq_add_neg f g).symm ▸ hf.add hg.neg
lemma strict_concave_on.sub (hf : strict_concave_on 𝕜 s f) (hg : strict_convex_on 𝕜 s g) :
strict_concave_on 𝕜 s (f - g) :=
(sub_eq_add_neg f g).symm ▸ hf.add hg.neg
lemma convex_on.sub_strict_concave_on (hf : convex_on 𝕜 s f) (hg : strict_concave_on 𝕜 s g) :
strict_convex_on 𝕜 s (f - g) :=
(sub_eq_add_neg f g).symm ▸ hf.add_strict_convex_on hg.neg
lemma concave_on.sub_strict_convex_on (hf : concave_on 𝕜 s f) (hg : strict_convex_on 𝕜 s g) :
strict_concave_on 𝕜 s (f - g) :=
(sub_eq_add_neg f g).symm ▸ hf.add_strict_concave_on hg.neg
lemma strict_convex_on.sub_concave_on (hf : strict_convex_on 𝕜 s f) (hg : concave_on 𝕜 s g) :
strict_convex_on 𝕜 s (f - g) :=
(sub_eq_add_neg f g).symm ▸ hf.add_convex_on hg.neg
lemma strict_concave_on.sub_convex_on (hf : strict_concave_on 𝕜 s f) (hg : convex_on 𝕜 s g) :
strict_concave_on 𝕜 s (f - g) :=
(sub_eq_add_neg f g).symm ▸ hf.add_concave_on hg.neg
end ordered_add_comm_group
end add_comm_monoid
section add_cancel_comm_monoid
variables [add_cancel_comm_monoid E] [ordered_add_comm_monoid β] [module 𝕜 E] [has_scalar 𝕜 β]
{s : set E} {f : E → β}
/-- Right translation preserves strict convexity. -/
lemma strict_convex_on.translate_right (hf : strict_convex_on 𝕜 s f) (c : E) :
strict_convex_on 𝕜 ((λ z, c + z) ⁻¹' s) (f ∘ (λ z, c + z)) :=
⟨hf.1.translate_preimage_right _, λ x y hx hy hxy a b ha hb hab,
calc
f (c + (a • x + b • y)) = f (a • (c + x) + b • (c + y))
: by rw [smul_add, smul_add, add_add_add_comm, convex.combo_self hab]
... < a • f (c + x) + b • f (c + y) : hf.2 hx hy ((add_right_injective c).ne hxy) ha hb hab⟩
/-- Right translation preserves strict concavity. -/
lemma strict_concave_on.translate_right (hf : strict_concave_on 𝕜 s f) (c : E) :
strict_concave_on 𝕜 ((λ z, c + z) ⁻¹' s) (f ∘ (λ z, c + z)) :=
hf.dual.translate_right _
/-- Left translation preserves strict convexity. -/
lemma strict_convex_on.translate_left (hf : strict_convex_on 𝕜 s f) (c : E) :
strict_convex_on 𝕜 ((λ z, c + z) ⁻¹' s) (f ∘ (λ z, z + c)) :=
by simpa only [add_comm] using hf.translate_right _
/-- Left translation preserves strict concavity. -/
lemma strict_concave_on.translate_left (hf : strict_concave_on 𝕜 s f) (c : E) :
strict_concave_on 𝕜 ((λ z, c + z) ⁻¹' s) (f ∘ (λ z, z + c)) :=
by simpa only [add_comm] using hf.translate_right _
end add_cancel_comm_monoid
end ordered_semiring
section ordered_comm_semiring
variables [ordered_comm_semiring 𝕜] [add_comm_monoid E]
section ordered_add_comm_monoid
variables [ordered_add_comm_monoid β]
section module
variables [has_scalar 𝕜 E] [module 𝕜 β] [ordered_smul 𝕜 β] {s : set E} {f : E → β}
lemma convex_on.smul {c : 𝕜} (hc : 0 ≤ c) (hf : convex_on 𝕜 s f) : convex_on 𝕜 s (λ x, c • f x) :=
⟨hf.1, λ x y hx hy a b ha hb hab,
calc
c • f (a • x + b • y) ≤ c • (a • f x + b • f y)
: smul_le_smul_of_nonneg (hf.2 hx hy ha hb hab) hc
... = a • (c • f x) + b • (c • f y)
: by rw [smul_add, smul_comm c, smul_comm c]; apply_instance⟩
lemma concave_on.smul {c : 𝕜} (hc : 0 ≤ c) (hf : concave_on 𝕜 s f) :
concave_on 𝕜 s (λ x, c • f x) :=
hf.dual.smul hc
end module
end ordered_add_comm_monoid
end ordered_comm_semiring
section ordered_ring
variables [linear_ordered_field 𝕜] [add_comm_group E] [add_comm_group F]
section ordered_add_comm_monoid
variables [ordered_add_comm_monoid β]
section module
variables [module 𝕜 E] [module 𝕜 F] [has_scalar 𝕜 β]
/-- If a function is convex on `s`, it remains convex when precomposed by an affine map. -/
lemma convex_on.comp_affine_map {f : F → β} (g : E →ᵃ[𝕜] F) {s : set F} (hf : convex_on 𝕜 s f) :
convex_on 𝕜 (g ⁻¹' s) (f ∘ g) :=
⟨hf.1.affine_preimage _, λ x y hx hy a b ha hb hab,
calc
(f ∘ g) (a • x + b • y) = f (g (a • x + b • y)) : rfl
... = f (a • (g x) + b • (g y)) : by rw [convex.combo_affine_apply hab]
... ≤ a • f (g x) + b • f (g y) : hf.2 hx hy ha hb hab⟩
/-- If a function is concave on `s`, it remains concave when precomposed by an affine map. -/
lemma concave_on.comp_affine_map {f : F → β} (g : E →ᵃ[𝕜] F) {s : set F} (hf : concave_on 𝕜 s f) :
concave_on 𝕜 (g ⁻¹' s) (f ∘ g) :=
hf.dual.comp_affine_map g
end module
end ordered_add_comm_monoid
end ordered_ring
section linear_ordered_field
variables [linear_ordered_field 𝕜] [add_comm_monoid E]
section ordered_add_comm_monoid
variables [ordered_add_comm_monoid β]
section has_scalar
variables [has_scalar 𝕜 E] [has_scalar 𝕜 β] {s : set E}
lemma convex_on_iff_div {f : E → β} :
convex_on 𝕜 s f ↔ convex 𝕜 s ∧ ∀ ⦃x y : E⦄, x ∈ s → y ∈ s → ∀ ⦃a b : 𝕜⦄, 0 ≤ a → 0 ≤ b → 0 < a + b
→ f ((a/(a+b)) • x + (b/(a+b)) • y) ≤ (a/(a+b)) • f x + (b/(a+b)) • f y :=
and_congr iff.rfl
⟨begin
intros h x y hx hy a b ha hb hab,
apply h hx hy (div_nonneg ha hab.le) (div_nonneg hb hab.le),
rw [←add_div, div_self hab.ne'],
end,
begin
intros h x y hx hy a b ha hb hab,
simpa [hab, zero_lt_one] using h hx hy ha hb,
end⟩
lemma concave_on_iff_div {f : E → β} :
concave_on 𝕜 s f ↔ convex 𝕜 s ∧ ∀ ⦃x y : E⦄, x ∈ s → y ∈ s → ∀ ⦃a b : 𝕜⦄, 0 ≤ a → 0 ≤ b
→ 0 < a + b → (a/(a+b)) • f x + (b/(a+b)) • f y ≤ f ((a/(a+b)) • x + (b/(a+b)) • y) :=
@convex_on_iff_div _ _ βᵒᵈ _ _ _ _ _ _ _
lemma strict_convex_on_iff_div {f : E → β} :
strict_convex_on 𝕜 s f ↔ convex 𝕜 s ∧ ∀ ⦃x y : E⦄, x ∈ s → y ∈ s → x ≠ y → ∀ ⦃a b : 𝕜⦄, 0 < a
→ 0 < b → f ((a/(a+b)) • x + (b/(a+b)) • y) < (a/(a+b)) • f x + (b/(a+b)) • f y :=
and_congr iff.rfl
⟨begin
intros h x y hx hy hxy a b ha hb,
have hab := add_pos ha hb,
apply h hx hy hxy (div_pos ha hab) (div_pos hb hab),
rw [←add_div, div_self hab.ne'],
end,
begin
intros h x y hx hy hxy a b ha hb hab,
simpa [hab, zero_lt_one] using h hx hy hxy ha hb,
end⟩
lemma strict_concave_on_iff_div {f : E → β} :
strict_concave_on 𝕜 s f ↔ convex 𝕜 s ∧ ∀ ⦃x y : E⦄, x ∈ s → y ∈ s → x ≠ y → ∀ ⦃a b : 𝕜⦄, 0 < a
→ 0 < b → (a/(a+b)) • f x + (b/(a+b)) • f y < f ((a/(a+b)) • x + (b/(a+b)) • y) :=
@strict_convex_on_iff_div _ _ βᵒᵈ _ _ _ _ _ _ _
end has_scalar
end ordered_add_comm_monoid
end linear_ordered_field
|
21ebc1c4d5cdddc4e2103c1daf438c3d6f9478e1 | fa7fdeb61bbfde3f3bfa7b0d6980c642d7e1aeb8 | /test/rewrite_search.lean | 8892651c47fc76ab3b6c221dfdb8e1a5571cbb51 | [] | no_license | khoek/lean-rewrite-search | b189bb5c29be74989584d14aef5e66b5772d706c | bb3d2643aa98b983b8c58c6ac959c14b79d3c1eb | refs/heads/master | 1,586,715,667,500 | 1,580,824,884,000 | 1,580,824,884,000 | 162,676,245 | 0 | 1 | null | 1,580,824,897,000 | 1,545,374,365,000 | Lean | UTF-8 | Lean | false | false | 13,208 | lean | -- Copyright (c) 2018 Keeley Hoek. All rights reserved.
-- Released under Apache 2.0 license as described in the file LICENSE.
-- Authors: Keeley Hoek, Scott Morrison
import tactic.rewrite_search
namespace tactic.rewrite_search.testing
axiom foo' : [6] = [7]
axiom bar' : [[5],[5]] = [[6],[6]]
example : [[7],[6]] = [[5],[5]] :=
begin
success_if_fail { rewrite_search_with [] {} },
-- rw [←foo', bar']
rewrite_search_with [←foo', bar'] {explain := tt},
end
@[search] private axiom foo : [0] = [1]
@[search] private axiom bar1 : [1] = [2]
@[search] private axiom bar2 : [3] = [2]
@[search] private axiom bar3 : [3] = [4]
private example (a : unit) : [[0],[0]] = [[4],[4]] :=
begin
/- `rewrite_search` says -/
-- nth_rewrite_lhs 0 foo,
-- nth_rewrite_lhs 0 bar1,
-- nth_rewrite_lhs 0 foo,
-- nth_rewrite_lhs 0 bar1,
-- nth_rewrite_rhs 0 ←bar3,
-- nth_rewrite_rhs 0 ←bar3,
-- nth_rewrite_rhs 1 bar2,
-- nth_rewrite_rhs 0 bar2,
/- `rewrite_search` says -/
conv { to_lhs, congr, skip, rw foo, },
conv { to_lhs, congr, skip, rw bar1, },
conv { to_lhs, congr, },
-- conv { to_lhs, (*→func→arg→func) congr, congr, skip, congr, rw bar1, },
-- conv { to_rhs, (*→arg→func) congr, skip, congr, rw ←bar3, },
-- conv { to_rhs, (*→func→arg→func) congr, congr, skip, congr, rw ←bar3, },
-- conv { to_rhs, (*→func→arg→func) congr, congr, skip, congr, rw bar2, },
-- conv { to_rhs, (*→arg→func) congr, skip, congr, rw bar2, }
rewrite_search_with [foo, bar1, ← bar2, bar2, ← bar3] {explain := tt},
end
private example (a : unit) : [[0],[0]] = [[4],[4]] :=
begin
rewrite_search_with [foo, bar1, ← bar2, bar2, ← bar3] {strategy.pexplore {}, metric.edit_distance {}, visualiser},
end
private example : [[0],[0]] = [[4],[4]] :=
begin
/- `rewrite_search` says -/
-- nth_rewrite_lhs 0 foo,
-- nth_rewrite_lhs 0 bar1,
-- nth_rewrite_lhs 0 ←bar2,
-- nth_rewrite_lhs 0 foo,
-- nth_rewrite_rhs 0 ←bar3,
-- nth_rewrite_rhs 0 ←bar3,
-- nth_rewrite_rhs 1 bar2,
-- nth_rewrite_rhs 0 ←bar1
/- `rewrite_search` says -/
-- conv { to_lhs, congr, rw [foo, bar1], skip, rw [foo, bar1] },
-- conv { to_rhs, congr, rw [←bar3, bar2], skip, rw [←bar3, bar2] },
rewrite_search {metric.edit_distance {}, strategy.pexplore {}, no visualiser,}
end
#check tactic.rewrite_search.strategy.bfs
@[search] private axiom qux' : [[1], [2]] = [[6], [7]]
@[search] private axiom qux'' : [6] = [7]
private example : [[1], [1]] = [[7], [7]] :=
begin
-- nth_rewrite_lhs 0 bar1,
-- nth_rewrite_lhs 0 qux',
-- nth_rewrite_rhs 1 ←qux'',
rewrite_search {tracer.unit}, -- FIXME this is broken until we can do single replacements.
end
private example : [[0],[0]] = [[4],[4]] :=
begin
-- nth_rewrite_lhs 0 foo,
-- nth_rewrite_lhs 0 bar1,
-- nth_rewrite_lhs 0 ←bar2,
-- nth_rewrite_lhs 0 bar3,
-- nth_rewrite_lhs 0 foo,
-- nth_rewrite_lhs 0 bar1,
-- nth_rewrite_rhs 1 ←bar3,
-- nth_rewrite_rhs 0 bar2,
rewrite_search { explain := ff },
end
private structure cat :=
(O : Type)
(H : O → O → Type)
(i : Π o : O, H o o)
(c : Π {X Y Z : O} (f : H X Y) (g : H Y Z), H X Z)
(li : Π {X Y : O} (f : H X Y), c (i X) f = f)
(ri : Π {X Y : O} (f : H X Y), c f (i Y) = f)
(a : Π {W X Y Z : O} (f : H W X) (g : H X Y) (h : H Y Z), c (c f g) h = c f (c g h))
attribute [search] cat.li cat.a
private example (C : cat) (X Y Z : C.O) (f : C.H X Y) (g : C.H Y X) (w : C.c g f = C.i Y) (h k : C.H Y Z) (p : C.c f h = C.c f k) : h = k :=
begin
-- rewrite_search_using `search {trace := tt, trace_rules:=tt}, -- not quite there, we haven't activated intense search
perform_nth_rewrite 0 [← @cat.li C Y Z h],
perform_nth_rewrite 0 [← w],
perform_nth_rewrite 0 [C.a],
perform_nth_rewrite 0 [p],
perform_nth_rewrite 0 [← C.a],
perform_nth_rewrite 0 [w],
perform_nth_rewrite 0 [@cat.li C Y Z k],
-- PROJECT automate this!
-- rw [← C.li Y Z h],
-- rw [← C.li Y Z k],
-- rw [← w],
-- rw [C.a],
-- rw [C.a],
-- rw [p],
end
end tactic.rewrite_search.testing
namespace tactic.rewrite_search.examples
constants f g : ℕ → ℕ → ℕ → ℕ
@[search] axiom f_0_0 : ∀ a b c : ℕ, f a b c = f 0 b c
@[search] axiom f_0_1 : ∀ a b c : ℕ, f a b c = f 1 b c
@[search] axiom f_0_2 : ∀ a b c : ℕ, f a b c = f 2 b c
@[search] axiom f_1_0 : ∀ a b c : ℕ, f a b c = f a 0 c
@[search] axiom f_1_1 : ∀ a b c : ℕ, f a b c = f a 1 c
@[search] axiom f_1_2 : ∀ a b c : ℕ, f a b c = f a 2 c
@[search] axiom f_2_0 : ∀ a b c : ℕ, f a b c = f a b 0
@[search] axiom f_2_1 : ∀ a b c : ℕ, f a b c = f a b 1
@[search] axiom f_2_2 : ∀ a b c : ℕ, f a b c = f a b 2
@[search] axiom g_0_0 : ∀ a b c : ℕ, g a b c = g 0 b c
@[search] axiom g_0_1 : ∀ a b c : ℕ, g a b c = g 1 b c
@[search] axiom g_0_2 : ∀ a b c : ℕ, g a b c = g 2 b c
@[search] axiom g_1_0 : ∀ a b c : ℕ, g a b c = g a 0 c
@[search] axiom g_1_1 : ∀ a b c : ℕ, g a b c = g a 1 c
@[search] axiom g_1_2 : ∀ a b c : ℕ, g a b c = g a 2 c
@[search] axiom g_2_0 : ∀ a b c : ℕ, g a b c = g a b 0
@[search] axiom g_2_1 : ∀ a b c : ℕ, g a b c = g a b 1
@[search] axiom g_2_2 : ∀ a b c : ℕ, g a b c = g a b 2
@[search] axiom f_g : f 0 1 2 = g 2 0 1
set_option trace.app_builder true
lemma test : f 0 0 0 = g 0 0 0 :=
-- by erw [f_2_2, f_1_1, g_0_2, g_2_1, ←f_g]
by rewrite_search {trace := ff, explain := tt, trace_summary := tt, exhaustive := tt, tracer.unit, strategy.pexplore {pop_size := 1}, metric.edit_distance {refresh_freq := 5} cm}
-- begin
-- perform_nth_rewrite [f_2_2] 0,
-- perform_nth_rewrite [f_1_1] 0,
-- perform_nth_rewrite [g_0_2] 0,
-- perform_nth_rewrite [g_2_1] 0,
-- perform_nth_rewrite [← f_g] 0,
-- end
lemma test_bfs : f 0 0 0 = g 0 0 0 :=
-- by erw [f_2_2, f_1_1, g_0_2, g_2_1, ←f_g]
by rewrite_search {trace := ff, explain := tt, trace_summary := tt, exhaustive := tt, no visualiser, strategy.pexplore {pop_size:=5}, metric.edit_distance {} svm }
-- Compare: in these next two we just change pop_size 1 -> 5, and we find a much much
-- better proof, but we see a little more stuff.
lemma test_svm : f 0 0 0 = g 0 0 0 :=
-- by erw [f_2_2, f_1_1, g_0_2, g_2_1, ←f_g]
by rewrite_search {trace := ff, explain := tt, trace_summary := tt, exhaustive := tt, no visualiser, strategy.pexplore {pop_size := 1}, metric.edit_distance {refresh_freq := 1} svm}
lemma test_svm2 : f 0 0 0 = g 0 0 0 :=
-- by erw [f_2_2, f_1_1, g_0_2, g_2_1, ←f_g]
by rewrite_search {trace := ff, explain := tt, trace_summary := tt, exhaustive := tt, no visualiser, strategy.pexplore {pop_size := 5}, metric.edit_distance {refresh_freq := 1} svm}
lemma test_cm2 : f 0 0 0 = g 0 0 0 :=
-- by erw [f_2_2, f_1_1, g_0_2, g_2_1, ←f_g]
by rewrite_search {trace := ff, explain := tt, trace_summary := tt, exhaustive := tt, no visualiser, strategy.pexplore {pop_size := 5}, metric.edit_distance {refresh_freq := 1} cm}
constant h : ℕ → ℕ
@[search,simp] axiom a1 : h 0 = h 1
@[search,simp] axiom a2 : h 1 = h 2
@[search,simp] axiom a3 : h 2 = h 3
@[search,simp] axiom a4 : h 3 = h 4
lemma test2 : h 0 = h 4 :=
-- by erw [a1, a2, ←a4, ←a3]
by rewrite_search {}
constants a b c d e : ℚ
lemma test3 : (a * (b + c)) * d = a * (b * d) + a * (c * d) :=
by rewrite_search_with [add_comm, add_assoc, mul_assoc, mul_comm, left_distrib, right_distrib] {explain := tt, trace_summary := tt, no visualiser, metric.edit_distance {}}
-- lemma test4 : (a * (b + c + 1)) * d = a * (b * d) + a * (1 * d) + a * (c * d) :=
-- by rewrite_search_with [add_comm, add_assoc, mul_one, mul_assoc, mul_comm, left_distrib, right_distrib] {explain := tt, trace_summary := tt, view := visualiser, metric.edit_distance {refresh_freq := 10} cm, strategy.pexplore {pop_size := 3}, max_iterations := 1000}
namespace tactic.rewrite_search.tesseract
constants f_1 f_2 f_3 f_4 f_5 : ℕ -> ℕ -> ℕ -> ℕ
@[search] axiom f_1_1_1: forall n1 n2 n3 : ℕ, f_1 n1 n2 n3 = f_1 1 n2 n3
@[search] axiom f_2_1_1: forall n1 n2 n3 : ℕ, f_2 n1 n2 n3 = f_2 1 n2 n3
@[search] axiom f_3_1_1: forall n1 n2 n3 : ℕ, f_3 n1 n2 n3 = f_3 1 n2 n3
@[search] axiom f_4_1_1: forall n1 n2 n3 : ℕ, f_4 n1 n2 n3 = f_4 1 n2 n3
@[search] axiom f_5_1_1: forall n1 n2 n3 : ℕ, f_5 n1 n2 n3 = f_5 1 n2 n3
@[search] axiom f_1_1_2: forall n1 n2 n3 : ℕ, f_1 n1 n2 n3 = f_1 2 n2 n3
@[search] axiom f_2_1_2: forall n1 n2 n3 : ℕ, f_2 n1 n2 n3 = f_2 2 n2 n3
@[search] axiom f_3_1_2: forall n1 n2 n3 : ℕ, f_3 n1 n2 n3 = f_3 2 n2 n3
@[search] axiom f_4_1_2: forall n1 n2 n3 : ℕ, f_4 n1 n2 n3 = f_4 2 n2 n3
@[search] axiom f_5_1_2: forall n1 n2 n3 : ℕ, f_5 n1 n2 n3 = f_5 2 n2 n3
@[search] axiom f_1_1_3: forall n1 n2 n3 : ℕ, f_1 n1 n2 n3 = f_1 3 n2 n3
@[search] axiom f_2_1_3: forall n1 n2 n3 : ℕ, f_2 n1 n2 n3 = f_2 3 n2 n3
@[search] axiom f_3_1_3: forall n1 n2 n3 : ℕ, f_3 n1 n2 n3 = f_3 3 n2 n3
@[search] axiom f_4_1_3: forall n1 n2 n3 : ℕ, f_4 n1 n2 n3 = f_4 3 n2 n3
@[search] axiom f_5_1_3: forall n1 n2 n3 : ℕ, f_5 n1 n2 n3 = f_5 3 n2 n3
@[search] axiom f_1_2_1: forall n1 n2 n3 : ℕ, f_1 n1 n2 n3 = f_1 n1 1 n3
@[search] axiom f_2_2_1: forall n1 n2 n3 : ℕ, f_2 n1 n2 n3 = f_2 n1 1 n3
@[search] axiom f_3_2_1: forall n1 n2 n3 : ℕ, f_3 n1 n2 n3 = f_3 n1 1 n3
@[search] axiom f_4_2_1: forall n1 n2 n3 : ℕ, f_4 n1 n2 n3 = f_4 n1 1 n3
@[search] axiom f_5_2_1: forall n1 n2 n3 : ℕ, f_5 n1 n2 n3 = f_5 n1 1 n3
@[search] axiom f_1_2_2: forall n1 n2 n3 : ℕ, f_1 n1 n2 n3 = f_1 n1 2 n3
@[search] axiom f_2_2_2: forall n1 n2 n3 : ℕ, f_2 n1 n2 n3 = f_2 n1 2 n3
@[search] axiom f_3_2_2: forall n1 n2 n3 : ℕ, f_3 n1 n2 n3 = f_3 n1 2 n3
@[search] axiom f_4_2_2: forall n1 n2 n3 : ℕ, f_4 n1 n2 n3 = f_4 n1 2 n3
@[search] axiom f_5_2_2: forall n1 n2 n3 : ℕ, f_5 n1 n2 n3 = f_5 n1 2 n3
@[search] axiom f_1_2_3: forall n1 n2 n3 : ℕ, f_1 n1 n2 n3 = f_1 n1 3 n3
@[search] axiom f_2_2_3: forall n1 n2 n3 : ℕ, f_2 n1 n2 n3 = f_2 n1 3 n3
@[search] axiom f_3_2_3: forall n1 n2 n3 : ℕ, f_3 n1 n2 n3 = f_3 n1 3 n3
@[search] axiom f_4_2_3: forall n1 n2 n3 : ℕ, f_4 n1 n2 n3 = f_4 n1 3 n3
@[search] axiom f_5_2_3: forall n1 n2 n3 : ℕ, f_5 n1 n2 n3 = f_5 n1 3 n3
@[search] axiom f_1_3_1: forall n1 n2 n3 : ℕ, f_1 n1 n2 n3 = f_1 n1 n2 1
@[search] axiom f_2_3_1: forall n1 n2 n3 : ℕ, f_2 n1 n2 n3 = f_2 n1 n2 1
@[search] axiom f_3_3_1: forall n1 n2 n3 : ℕ, f_3 n1 n2 n3 = f_3 n1 n2 1
@[search] axiom f_4_3_1: forall n1 n2 n3 : ℕ, f_4 n1 n2 n3 = f_4 n1 n2 1
@[search] axiom f_5_3_1: forall n1 n2 n3 : ℕ, f_5 n1 n2 n3 = f_5 n1 n2 1
@[search] axiom f_1_3_2: forall n1 n2 n3 : ℕ, f_1 n1 n2 n3 = f_1 n1 n2 2
@[search] axiom f_2_3_2: forall n1 n2 n3 : ℕ, f_2 n1 n2 n3 = f_2 n1 n2 2
@[search] axiom f_3_3_2: forall n1 n2 n3 : ℕ, f_3 n1 n2 n3 = f_3 n1 n2 2
@[search] axiom f_4_3_2: forall n1 n2 n3 : ℕ, f_4 n1 n2 n3 = f_4 n1 n2 2
@[search] axiom f_5_3_2: forall n1 n2 n3 : ℕ, f_5 n1 n2 n3 = f_5 n1 n2 2
@[search] axiom f_1_3_3: forall n1 n2 n3 : ℕ, f_1 n1 n2 n3 = f_1 n1 n2 3
@[search] axiom f_2_3_3: forall n1 n2 n3 : ℕ, f_2 n1 n2 n3 = f_2 n1 n2 3
@[search] axiom f_3_3_3: forall n1 n2 n3 : ℕ, f_3 n1 n2 n3 = f_3 n1 n2 3
@[search] axiom f_4_3_3: forall n1 n2 n3 : ℕ, f_4 n1 n2 n3 = f_4 n1 n2 3
@[search] axiom f_5_3_3: forall n1 n2 n3 : ℕ, f_5 n1 n2 n3 = f_5 n1 n2 3
namespace v1
@[search] axiom f_1_f_2 : f_1 1 1 1 = f_2 1 1 1
@[search] axiom f_2_f_3 : f_2 1 1 1 = f_3 1 1 1
@[search] axiom f_3_f_5 : f_3 1 1 1 = f_5 1 1 1
@[search] axiom f_1_f_4 : f_1 0 1 2 = f_4 2 0 1
@[search] axiom f_4_f_5 : f_4 0 1 2 = f_5 2 0 1
-- rewrite_search_with (saw/visited/used) 114/112/13 expressions during proof of tactic.rewrite_search.examples.tactic.rewrite_search.tesseract.v1.test
lemma test : f_1 0 0 0 = f_5 0 0 0 :=
-- by erw [f_2_2, f_1_1, g_0_2, g_2_1, ←f_g]
by rewrite_search {trace := ff, explain := tt, trace_summary := tt, exhaustive := ff, no visualiser, strategy.pexplore {pop_size := 1, pop_alternate := ff}, metric.edit_distance {}, max_iterations := 1000}
end v1
namespace v2
@[search] axiom f_1_f_2' : f_1 0 1 2 = f_2 2 0 1
@[search] axiom f_2_f_3' : f_2 0 1 2 = f_3 2 0 1
@[search] axiom f_3_f_5' : f_3 0 1 2 = f_5 2 0 1
@[search] axiom f_1_f_4' : f_1 0 1 2 = f_4 2 0 1
-- @[search] axiom f_4_f_5' : f_4 0 1 2 = f_5 2 0 1
-- lemma test : f_1 0 0 0 = f_5 0 0 0 :=
-- -- by erw [f_2_2, f_1_1, g_0_2, g_2_1, ←f_g]
-- by rewrite_search {trace := ff, explain := tt, trace_summary := tt, exhaustive := ff, no visualiser, strategy.pexplore { pop_size := 100 }, metric.edit_distance {refresh_freq := 5} cm}
end v2
end tactic.rewrite_search.tesseract
end tactic.rewrite_search.examples
-- Maybe Scott wants this
--
-- structure cat :=
-- (O : Type)
-- (H : O → O → Type)
-- (i : Π o : O, H o o)
-- (c : Π {X Y Z : O} (f : H X Y) (g : H Y Z), H X Z)
-- (li : Π {X Y : O} (f : H X Y), c (i X) f = f)
-- (ri : Π {X Y : O} (f : H X Y), c f (i Y) = f)
-- (a : Π {W X Y Z : O} (f : H W X) (g : H X Y) (h : H Y Z), c (c f g) h = c f (c g h))
-- attribute [search] cat.li cat.a
-- private example (C : cat) (X Y Z : C.O) (f : C.H X Y) (g : C.H Y X) (w : C.c g f = C.i Y) (h k : C.H Y Z) (p : C.c f h = C.c f k) : h = k :=
-- begin
-- rewrite_search {},
-- end
|
620901a7bc4e1101ef660a3b5020ae56efe212a4 | b7f22e51856f4989b970961f794f1c435f9b8f78 | /tests/lean/replace_tac.lean | dffc8d69aa5a48eebc04c1e24a0bf713034dcee7 | [
"Apache-2.0"
] | permissive | soonhokong/lean | cb8aa01055ffe2af0fb99a16b4cda8463b882cd1 | 38607e3eb57f57f77c0ac114ad169e9e4262e24f | refs/heads/master | 1,611,187,284,081 | 1,450,766,737,000 | 1,476,122,547,000 | 11,513,992 | 2 | 0 | null | 1,401,763,102,000 | 1,374,182,235,000 | C++ | UTF-8 | Lean | false | false | 925 | lean | import data.list
open nat list
example (H : false) : (1 : ℕ) + 1 = (2 : ℕ) :=
begin
replace (1 : ℕ) with (succ 0) at {1},
end
example (H : false) : (1 : ℕ) + 1 = (2 : ℕ) :=
begin
replace (1 : ℕ) with (succ 1),
end
definition foo (n : ℕ) : ℕ := n
definition bar := foo
example (h : true) : foo 2 = bar 2 :=
begin
replace foo 2 with bar 2 at h,
reflexivity
end
constants (P : ℕ → Type₁) (p : P (3 + 1)) (f : Πn, P n)
example : f (3 + 1) = p :=
begin
replace ((3 : ℕ) + 1) with (4 : ℕ),
end
variables {A B : Type}
lemma my_map_concat (f : A → B) (a : A) : Πl, map f (concat a l) = concat (f a) (map f l)
| nil := rfl
| (b::l) := begin
replace concat a (b :: l) with b :: concat a l,
replace concat (f a) (map f (b :: l)) with f b :: concat (f a) (map f l),
replace map f (b :: concat a l) with f b :: map f (concat a l),
congruence,
apply my_map_concat
end
|
740db892a9568fe26a476372433f9e3410c0ac1a | efa51dd2edbbbbd6c34bd0ce436415eb405832e7 | /20170116_POPL/meta/has_to_string.lean | fdf34972506246c7d349961cbac5b2089101b490 | [
"Apache-2.0"
] | permissive | leanprover/presentations | dd031a05bcb12c8855676c77e52ed84246bd889a | 3ce2d132d299409f1de269fa8e95afa1333d644e | refs/heads/master | 1,688,703,388,796 | 1,686,838,383,000 | 1,687,465,742,000 | 29,750,158 | 12 | 9 | Apache-2.0 | 1,540,211,670,000 | 1,422,042,683,000 | Lean | UTF-8 | Lean | false | false | 3,671 | lean | /-
Lean tactics can also be used to synthesize code.
The tactic mk_dec_eq_instance is an example of such tactic.
Here, we implement a small tactic that synthesizes a
term of type (has_to_string Enum) for an enumeration type.
-/
open tactic expr
/- When we execute (vm_eval e), if there is an instance of (has_to_string e),
Lean will automatically use it to display the result.
The Lean standard library provides instances for many types (e.g., nat, int, list). -/
vm_eval [1, 2, 3]
/- An enumeration type is just an inductive datatype where
every constructor has 0 arguments. -/
inductive color
| red | blue | green
open color
/- We don't have an instance of (has_to_string color) yet.
Thus, Lean uses the vm_obj pretty printer.
vm_obj is the Lean object runtime representation.
The following output is not very readable. -/
vm_eval [red, blue, green, red]
/- We now define a tactic for automatically generating has_to_string instances for
enumeration types. -/
/-- First, we define an auxiliary tactic (close_goals_using ns) that closes
(length ns) goals of the form |- string using the names in ns. -/
meta def close_goals_using : list name → tactic unit
| [] := now <|> fail "mk_enum_has_to_string tactic failed, unexpected number of goals"
| (name.mk_string s p :: cs) := do
/- We just use the suffix s of the name. That is, if the head of the list is (color.blue),
we use just the string "blue" to close the goal.
The tactic string.to_expr converts a string into a Lean expression that
represents it.
It is implemented in Lean, and we can
jump to its definition by using `M-.` (on Emacs) and `F12` (on VS Code).
On VS Code, we can also "peek" on its definition by typing (Alt-F12).
-/
s^.to_expr >>= exact,
close_goals_using cs
| _ := fail "mk_enum_has_to_string tactic failed, unexpected constructor name"
/-- The tactic mk_enum_has_to_string discharges goals of the form (has_to_string Enum),
where Enum is an enumeration type, i.e., an inductive datatype where each constructor
is nullary. -/
meta def mk_enum_has_to_string : tactic unit :=
do
env ← get_env,
/- The constructor tactic is applying the constructor has_to_string.mk -/
constructor,
/- The goal is now of the form Enum -> string.
The tactic intro1 introduces a new hypothesis (e : Enum), and returns it. -/
e ← intro1,
/- We infer the type of e, and put it in weak-head-normal-form, and extract the type name. -/
(const Enum []) ← infer_type e >>= whnf | failed,
when (¬ env^.is_inductive Enum) (fail "mk_has_to_string failed, type is not an inductive datatype"),
/- Remark: we are not checking whether Enum is indeed an enumeration type.
Exercise: implement this additional check using
environment.constructors_of : environment → name → list name
and
infer_type : expr → tactic expr
-/
/- (env^.constructors_of Enum) is just syntax sugar for
(environment.constructors_of env Enum)
cs is a list of names -/
cs ← return $ env^.constructors_of Enum,
/- Split the goal in cases. It will produce one case for each constructor. -/
cases e,
/- Each goal has type string. We close them using the constructor names. -/
close_goals_using cs
/- Now, we automatically generate an instance using our mk_enum_has_to_string tactic. -/
instance : has_to_string color :=
by mk_enum_has_to_string
vm_eval [red, blue, green, red]
/- Advanced exercise: implement a tactic for synthesizing (has_to_string I) instances
for arbitrary inductive datatypes. Use the tactic mk_dec_eq_instance from the standard
library as a template. -/
|
01ca0b040c1e08c22f457e758eb1d69251de144b | 82e44445c70db0f03e30d7be725775f122d72f3e | /src/linear_algebra/char_poly/basic.lean | b3286b85d90c9f69e32a6cb90cf9ca1a3e0639e1 | [
"Apache-2.0"
] | permissive | stjordanis/mathlib | 51e286d19140e3788ef2c470bc7b953e4991f0c9 | 2568d41bca08f5d6bf39d915434c8447e21f42ee | refs/heads/master | 1,631,748,053,501 | 1,627,938,886,000 | 1,627,938,886,000 | 228,728,358 | 0 | 0 | Apache-2.0 | 1,576,630,588,000 | 1,576,630,587,000 | null | UTF-8 | Lean | false | false | 3,820 | lean | /-
Copyright (c) 2020 Scott Morrison. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Scott Morrison
-/
import tactic.apply_fun
import ring_theory.matrix_algebra
import ring_theory.polynomial_algebra
import linear_algebra.matrix.nonsingular_inverse
import tactic.squeeze
/-!
# Characteristic polynomials and the Cayley-Hamilton theorem
We define characteristic polynomials of matrices and
prove the Cayley–Hamilton theorem over arbitrary commutative rings.
## Main definitions
* `char_poly` is the characteristic polynomial of a matrix.
## Implementation details
We follow a nice proof from http://drorbn.net/AcademicPensieve/2015-12/CayleyHamilton.pdf
-/
noncomputable theory
universes u v w
open polynomial matrix
open_locale big_operators
variables {R : Type u} [comm_ring R]
variables {n : Type w} [decidable_eq n] [fintype n]
open finset
/--
The "characteristic matrix" of `M : matrix n n R` is the matrix of polynomials $t I - M$.
The determinant of this matrix is the characteristic polynomial.
-/
def char_matrix (M : matrix n n R) : matrix n n (polynomial R) :=
matrix.scalar n (X : polynomial R) - (C : R →+* polynomial R).map_matrix M
@[simp] lemma char_matrix_apply_eq (M : matrix n n R) (i : n) :
char_matrix M i i = (X : polynomial R) - C (M i i) :=
by simp only [char_matrix, sub_left_inj, pi.sub_apply, scalar_apply_eq,
ring_hom.map_matrix_apply, map_apply, dmatrix.sub_apply]
@[simp] lemma char_matrix_apply_ne (M : matrix n n R) (i j : n) (h : i ≠ j) :
char_matrix M i j = - C (M i j) :=
by simp only [char_matrix, pi.sub_apply, scalar_apply_ne _ _ _ h, zero_sub,
ring_hom.map_matrix_apply, map_apply, dmatrix.sub_apply]
lemma mat_poly_equiv_char_matrix (M : matrix n n R) :
mat_poly_equiv (char_matrix M) = X - C M :=
begin
ext k i j,
simp only [mat_poly_equiv_coeff_apply, coeff_sub, pi.sub_apply],
by_cases h : i = j,
{ subst h, rw [char_matrix_apply_eq, coeff_sub],
simp only [coeff_X, coeff_C],
split_ifs; simp, },
{ rw [char_matrix_apply_ne _ _ _ h, coeff_X, coeff_neg, coeff_C, coeff_C],
split_ifs; simp [h], }
end
/--
The characteristic polynomial of a matrix `M` is given by $\det (t I - M)$.
-/
def char_poly (M : matrix n n R) : polynomial R :=
(char_matrix M).det
/--
The **Cayley-Hamilton Theorem**, that the characteristic polynomial of a matrix,
applied to the matrix itself, is zero.
This holds over any commutative ring.
-/
-- This proof follows http://drorbn.net/AcademicPensieve/2015-12/CayleyHamilton.pdf
theorem aeval_self_char_poly (M : matrix n n R) :
aeval M (char_poly M) = 0 :=
begin
-- We begin with the fact $χ_M(t) I = adjugate (t I - M) * (t I - M)$,
-- as an identity in `matrix n n (polynomial R)`.
have h : (char_poly M) • (1 : matrix n n (polynomial R)) =
adjugate (char_matrix M) * (char_matrix M) :=
(adjugate_mul _).symm,
-- Using the algebra isomorphism `matrix n n (polynomial R) ≃ₐ[R] polynomial (matrix n n R)`,
-- we have the same identity in `polynomial (matrix n n R)`.
apply_fun mat_poly_equiv at h,
simp only [mat_poly_equiv.map_mul,
mat_poly_equiv_char_matrix] at h,
-- Because the coefficient ring `matrix n n R` is non-commutative,
-- evaluation at `M` is not multiplicative.
-- However, any polynomial which is a product of the form $N * (t I - M)$
-- is sent to zero, because the evaluation function puts the polynomial variable
-- to the right of any coefficients, so everything telescopes.
apply_fun (λ p, p.eval M) at h,
rw eval_mul_X_sub_C at h,
-- Now $χ_M (t) I$, when thought of as a polynomial of matrices
-- and evaluated at some `N` is exactly $χ_M (N)$.
rw [mat_poly_equiv_smul_one, eval_map] at h,
-- Thus we have $χ_M(M) = 0$, which is the desired result.
exact h,
end
|
8632960c869d6655e91aee2d3cd899d1776e17c2 | b7f22e51856f4989b970961f794f1c435f9b8f78 | /tests/lean/hott/inv_bug.hlean | aa0f1db177037639238929fd16642c5f79006197 | [
"Apache-2.0"
] | permissive | soonhokong/lean | cb8aa01055ffe2af0fb99a16b4cda8463b882cd1 | 38607e3eb57f57f77c0ac114ad169e9e4262e24f | refs/heads/master | 1,611,187,284,081 | 1,450,766,737,000 | 1,476,122,547,000 | 11,513,992 | 2 | 0 | null | 1,401,763,102,000 | 1,374,182,235,000 | C++ | UTF-8 | Lean | false | false | 462 | hlean | open nat
open eq.ops
inductive even : nat → Type :=
| even_zero : even zero
| even_succ_of_odd : ∀ {a}, odd a → even (succ a)
with odd : nat → Type :=
| odd_succ_of_even : ∀ {a}, even a → odd (succ a)
example : even 1 → empty :=
begin
intro He1,
cases He1 with [a, Ho0],
cases Ho0
end
example : even 3 → empty :=
begin
intro He3,
cases He3 with [a, Ho2],
cases Ho2 with [a, He1],
cases He1 with [a, Ho0],
cases Ho0
end
|
80a66d219247eb587a423c7b3d72f4a37f8cabdc | d406927ab5617694ec9ea7001f101b7c9e3d9702 | /src/number_theory/class_number/admissible_absolute_value.lean | 8324f2ed74cab4d264ee4cea640039ba3c29eaae | [
"Apache-2.0"
] | permissive | alreadydone/mathlib | dc0be621c6c8208c581f5170a8216c5ba6721927 | c982179ec21091d3e102d8a5d9f5fe06c8fafb73 | refs/heads/master | 1,685,523,275,196 | 1,670,184,141,000 | 1,670,184,141,000 | 287,574,545 | 0 | 0 | Apache-2.0 | 1,670,290,714,000 | 1,597,421,623,000 | Lean | UTF-8 | Lean | false | false | 5,750 | lean | /-
Copyright (c) 2021 Anne Baanen. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Anne Baanen
-/
import data.real.basic
import combinatorics.pigeonhole
import algebra.order.euclidean_absolute_value
/-!
# Admissible absolute values
This file defines a structure `absolute_value.is_admissible` which we use to show the class number
of the ring of integers of a global field is finite.
## Main definitions
* `absolute_value.is_admissible abv` states the absolute value `abv : R → ℤ`
respects the Euclidean domain structure on `R`, and that a large enough set
of elements of `R^n` contains a pair of elements whose remainders are
pointwise close together.
## Main results
* `absolute_value.abs_is_admissible` shows the "standard" absolute value on `ℤ`,
mapping negative `x` to `-x`, is admissible.
* `polynomial.card_pow_degree_is_admissible` shows `card_pow_degree`,
mapping `p : polynomial 𝔽_q` to `q ^ degree p`, is admissible
-/
local infix ` ≺ `:50 := euclidean_domain.r
namespace absolute_value
variables {R : Type*} [euclidean_domain R]
variables (abv : absolute_value R ℤ)
/-- An absolute value `R → ℤ` is admissible if it respects the Euclidean domain
structure and a large enough set of elements in `R^n` will contain a pair of
elements whose remainders are pointwise close together. -/
structure is_admissible extends is_euclidean abv :=
(card : ℝ → ℕ)
(exists_partition' : ∀ (n : ℕ) {ε : ℝ} (hε : 0 < ε) {b : R} (hb : b ≠ 0) (A : fin n → R),
∃ (t : fin n → fin (card ε)),
∀ i₀ i₁, t i₀ = t i₁ → (abv (A i₁ % b - A i₀ % b) : ℝ) < abv b • ε)
attribute [protected] is_admissible.card
namespace is_admissible
variables {abv}
/-- For all `ε > 0` and finite families `A`, we can partition the remainders of `A` mod `b`
into `abv.card ε` sets, such that all elements in each part of remainders are close together. -/
lemma exists_partition {ι : Type*} [fintype ι] {ε : ℝ} (hε : 0 < ε) {b : R} (hb : b ≠ 0)
(A : ι → R) (h : abv.is_admissible) :
∃ (t : ι → fin (h.card ε)),
∀ i₀ i₁, t i₀ = t i₁ → (abv (A i₁ % b - A i₀ % b) : ℝ) < abv b • ε :=
begin
let e := fintype.equiv_fin ι,
obtain ⟨t, ht⟩ := h.exists_partition' (fintype.card ι) hε hb (A ∘ e.symm),
refine ⟨t ∘ e, λ i₀ i₁ h, _⟩,
convert ht (e i₀) (e i₁) h; simp only [e.symm_apply_apply]
end
/-- Any large enough family of vectors in `R^n` has a pair of elements
whose remainders are close together, pointwise. -/
lemma exists_approx_aux (n : ℕ) (h : abv.is_admissible) :
∀ {ε : ℝ} (hε : 0 < ε) {b : R} (hb : b ≠ 0) (A : fin (h.card ε ^ n).succ → (fin n → R)),
∃ (i₀ i₁), (i₀ ≠ i₁) ∧ ∀ k, (abv (A i₁ k % b - A i₀ k % b) : ℝ) < abv b • ε :=
begin
haveI := classical.dec_eq R,
induction n with n ih,
{ intros ε hε b hb A,
refine ⟨0, 1, _, _⟩,
{ simp },
rintros ⟨i, ⟨⟩⟩ },
intros ε hε b hb A,
set M := h.card ε with hM,
-- By the "nicer" pigeonhole principle, we can find a collection `s`
-- of more than `M^n` remainders where the first components lie close together:
obtain ⟨s, s_inj, hs⟩ : ∃ s : fin (M ^ n).succ → fin (M ^ n.succ).succ,
function.injective s ∧
∀ i₀ i₁, (abv (A (s i₁) 0 % b - A (s i₀) 0 % b) : ℝ) < abv b • ε,
{ -- We can partition the `A`s into `M` subsets where
-- the first components lie close together:
obtain ⟨t, ht⟩ : ∃ (t : fin (M ^ n.succ).succ → fin M),
∀ i₀ i₁, t i₀ = t i₁ → (abv (A i₁ 0 % b - A i₀ 0 % b) : ℝ) < abv b • ε :=
h.exists_partition hε hb (λ x, A x 0),
-- Since the `M` subsets contain more than `M * M^n` elements total,
-- there must be a subset that contains more than `M^n` elements.
obtain ⟨s, hs⟩ := @fintype.exists_lt_card_fiber_of_mul_lt_card _ _ _ _ _ t (M ^ n)
(by simpa only [fintype.card_fin, pow_succ] using nat.lt_succ_self (M ^ n.succ) ),
refine ⟨λ i, (finset.univ.filter (λ x, t x = s)).to_list.nth_le i _, _, λ i₀ i₁, ht _ _ _⟩,
{ refine i.2.trans_le _, rwa finset.length_to_list },
{ intros i j h, ext, exact list.nodup_iff_nth_le_inj.mp (finset.nodup_to_list _) _ _ _ _ h },
have : ∀ i h, (finset.univ.filter (λ x, t x = s)).to_list.nth_le i h ∈
finset.univ.filter (λ x, t x = s),
{ intros i h, exact finset.mem_to_list.mp (list.nth_le_mem _ _ _) },
obtain ⟨_, h₀⟩ := finset.mem_filter.mp (this i₀ _),
obtain ⟨_, h₁⟩ := finset.mem_filter.mp (this i₁ _),
exact h₀.trans h₁.symm },
-- Since `s` is large enough, there are two elements of `A ∘ s`
-- where the second components lie close together.
obtain ⟨k₀, k₁, hk, h⟩ := ih hε hb (λ x, fin.tail (A (s x))),
refine ⟨s k₀, s k₁, λ h, hk (s_inj h), λ i, fin.cases _ (λ i, _) i⟩,
{ exact hs k₀ k₁ },
{ exact h i },
end
/-- Any large enough family of vectors in `R^ι` has a pair of elements
whose remainders are close together, pointwise. -/
lemma exists_approx {ι : Type*} [fintype ι] {ε : ℝ} (hε : 0 < ε) {b : R} (hb : b ≠ 0)
(h : abv.is_admissible)
(A : fin (h.card ε ^ fintype.card ι).succ → ι → R) :
∃ (i₀ i₁), (i₀ ≠ i₁) ∧ ∀ k, (abv (A i₁ k % b - A i₀ k % b) : ℝ) < abv b • ε :=
begin
let e := fintype.equiv_fin ι,
obtain ⟨i₀, i₁, ne, h⟩ := h.exists_approx_aux (fintype.card ι) hε hb (λ x y, A x (e.symm y)),
refine ⟨i₀, i₁, ne, λ k, _⟩,
convert h (e k); simp only [e.symm_apply_apply]
end
end is_admissible
end absolute_value
|
dcd8f0765162e49c70d9e0b27506ddd27151c09e | 8cae430f0a71442d02dbb1cbb14073b31048e4b0 | /src/measure_theory/function/conditional_expectation/condexp_L1.lean | 1f5729691234e18024555823d802c32fefcbabfe | [
"Apache-2.0"
] | permissive | leanprover-community/mathlib | 56a2cadd17ac88caf4ece0a775932fa26327ba0e | 442a83d738cb208d3600056c489be16900ba701d | refs/heads/master | 1,693,584,102,358 | 1,693,471,902,000 | 1,693,471,902,000 | 97,922,418 | 1,595 | 352 | Apache-2.0 | 1,694,693,445,000 | 1,500,624,130,000 | Lean | UTF-8 | Lean | false | false | 26,519 | lean | /-
Copyright (c) 2021 Rémy Degenne. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Rémy Degenne
-/
import measure_theory.function.conditional_expectation.condexp_L2
/-! # Conditional expectation in L1
> THIS FILE IS SYNCHRONIZED WITH MATHLIB4.
> Any changes to this file require a corresponding PR to mathlib4.
This file contains two more steps of the construction of the conditional expectation, which is
completed in `measure_theory.function.conditional_expectation.basic`. See that file for a
description of the full process.
The contitional expectation of an `L²` function is defined in
`measure_theory.function.conditional_expectation.condexp_L2`. In this file, we perform two steps.
* Show that the conditional expectation of the indicator of a measurable set with finite measure
is integrable and define a map `set α → (E →L[ℝ] (α →₁[μ] E))` which to a set associates a linear
map. That linear map sends `x ∈ E` to the conditional expectation of the indicator of the set
with value `x`.
* Extend that map to `condexp_L1_clm : (α →₁[μ] E) →L[ℝ] (α →₁[μ] E)`. This is done using the same
construction as the Bochner integral (see the file `measure_theory/integral/set_to_L1`).
## Main definitions
* `condexp_L1`: Conditional expectation of a function as a linear map from `L1` to itself.
-/
noncomputable theory
open topological_space measure_theory.Lp filter continuous_linear_map
open_locale nnreal ennreal topology big_operators measure_theory
namespace measure_theory
variables {α β F F' G G' 𝕜 : Type*} {p : ℝ≥0∞}
[is_R_or_C 𝕜] -- 𝕜 for ℝ or ℂ
-- F for a Lp submodule
[normed_add_comm_group F] [normed_space 𝕜 F]
-- F' for integrals on a Lp submodule
[normed_add_comm_group F'] [normed_space 𝕜 F'] [normed_space ℝ F'] [complete_space F']
-- G for a Lp add_subgroup
[normed_add_comm_group G]
-- G' for integrals on a Lp add_subgroup
[normed_add_comm_group G'] [normed_space ℝ G'] [complete_space G']
section condexp_ind
/-! ## Conditional expectation of an indicator as a continuous linear map.
The goal of this section is to build
`condexp_ind (hm : m ≤ m0) (μ : measure α) (s : set s) : G →L[ℝ] α →₁[μ] G`, which
takes `x : G` to the conditional expectation of the indicator of the set `s` with value `x`,
seen as an element of `α →₁[μ] G`.
-/
variables {m m0 : measurable_space α} {μ : measure α} {s t : set α} [normed_space ℝ G]
section condexp_ind_L1_fin
/-- Conditional expectation of the indicator of a measurable set with finite measure,
as a function in L1. -/
def condexp_ind_L1_fin (hm : m ≤ m0) [sigma_finite (μ.trim hm)] (hs : measurable_set s)
(hμs : μ s ≠ ∞) (x : G) : α →₁[μ] G :=
(integrable_condexp_ind_smul hm hs hμs x).to_L1 _
lemma condexp_ind_L1_fin_ae_eq_condexp_ind_smul (hm : m ≤ m0) [sigma_finite (μ.trim hm)]
(hs : measurable_set s) (hμs : μ s ≠ ∞) (x : G) :
condexp_ind_L1_fin hm hs hμs x =ᵐ[μ] condexp_ind_smul hm hs hμs x :=
(integrable_condexp_ind_smul hm hs hμs x).coe_fn_to_L1
variables {hm : m ≤ m0} [sigma_finite (μ.trim hm)]
lemma condexp_ind_L1_fin_add (hs : measurable_set s) (hμs : μ s ≠ ∞) (x y : G) :
condexp_ind_L1_fin hm hs hμs (x + y)
= condexp_ind_L1_fin hm hs hμs x + condexp_ind_L1_fin hm hs hμs y :=
begin
ext1,
refine (mem_ℒp.coe_fn_to_Lp _).trans _,
refine eventually_eq.trans _ (Lp.coe_fn_add _ _).symm,
refine eventually_eq.trans _
(eventually_eq.add (mem_ℒp.coe_fn_to_Lp _).symm (mem_ℒp.coe_fn_to_Lp _).symm),
rw condexp_ind_smul_add,
refine (Lp.coe_fn_add _ _).trans (eventually_of_forall (λ a, _)),
refl,
end
lemma condexp_ind_L1_fin_smul (hs : measurable_set s) (hμs : μ s ≠ ∞) (c : ℝ) (x : G) :
condexp_ind_L1_fin hm hs hμs (c • x) = c • condexp_ind_L1_fin hm hs hμs x :=
begin
ext1,
refine (mem_ℒp.coe_fn_to_Lp _).trans _,
refine eventually_eq.trans _ (Lp.coe_fn_smul _ _).symm,
rw condexp_ind_smul_smul hs hμs c x,
refine (Lp.coe_fn_smul _ _).trans _,
refine (condexp_ind_L1_fin_ae_eq_condexp_ind_smul hm hs hμs x).mono (λ y hy, _),
rw [pi.smul_apply, pi.smul_apply, hy],
end
lemma condexp_ind_L1_fin_smul' [normed_space ℝ F] [smul_comm_class ℝ 𝕜 F]
(hs : measurable_set s) (hμs : μ s ≠ ∞) (c : 𝕜) (x : F) :
condexp_ind_L1_fin hm hs hμs (c • x) = c • condexp_ind_L1_fin hm hs hμs x :=
begin
ext1,
refine (mem_ℒp.coe_fn_to_Lp _).trans _,
refine eventually_eq.trans _ (Lp.coe_fn_smul _ _).symm,
rw condexp_ind_smul_smul' hs hμs c x,
refine (Lp.coe_fn_smul _ _).trans _,
refine (condexp_ind_L1_fin_ae_eq_condexp_ind_smul hm hs hμs x).mono (λ y hy, _),
rw [pi.smul_apply, pi.smul_apply, hy],
end
lemma norm_condexp_ind_L1_fin_le (hs : measurable_set s) (hμs : μ s ≠ ∞) (x : G) :
‖condexp_ind_L1_fin hm hs hμs x‖ ≤ (μ s).to_real * ‖x‖ :=
begin
have : 0 ≤ ∫ (a : α), ‖condexp_ind_L1_fin hm hs hμs x a‖ ∂μ,
from integral_nonneg (λ a, norm_nonneg _),
rw [L1.norm_eq_integral_norm, ← ennreal.to_real_of_real (norm_nonneg x), ← ennreal.to_real_mul,
← ennreal.to_real_of_real this, ennreal.to_real_le_to_real ennreal.of_real_ne_top
(ennreal.mul_ne_top hμs ennreal.of_real_ne_top),
of_real_integral_norm_eq_lintegral_nnnorm],
swap, { rw [← mem_ℒp_one_iff_integrable], exact Lp.mem_ℒp _, },
have h_eq : ∫⁻ a, ‖condexp_ind_L1_fin hm hs hμs x a‖₊ ∂μ
= ∫⁻ a, ‖condexp_ind_smul hm hs hμs x a‖₊ ∂μ,
{ refine lintegral_congr_ae _,
refine (condexp_ind_L1_fin_ae_eq_condexp_ind_smul hm hs hμs x).mono (λ z hz, _),
dsimp only,
rw hz, },
rw [h_eq, of_real_norm_eq_coe_nnnorm],
exact lintegral_nnnorm_condexp_ind_smul_le hm hs hμs x,
end
lemma condexp_ind_L1_fin_disjoint_union (hs : measurable_set s) (ht : measurable_set t)
(hμs : μ s ≠ ∞) (hμt : μ t ≠ ∞) (hst : s ∩ t = ∅) (x : G) :
condexp_ind_L1_fin hm (hs.union ht) ((measure_union_le s t).trans_lt
(lt_top_iff_ne_top.mpr (ennreal.add_ne_top.mpr ⟨hμs, hμt⟩))).ne x
= condexp_ind_L1_fin hm hs hμs x + condexp_ind_L1_fin hm ht hμt x :=
begin
ext1,
have hμst := ((measure_union_le s t).trans_lt
(lt_top_iff_ne_top.mpr (ennreal.add_ne_top.mpr ⟨hμs, hμt⟩))).ne,
refine (condexp_ind_L1_fin_ae_eq_condexp_ind_smul hm (hs.union ht) hμst x).trans _,
refine eventually_eq.trans _ (Lp.coe_fn_add _ _).symm,
have hs_eq := condexp_ind_L1_fin_ae_eq_condexp_ind_smul hm hs hμs x,
have ht_eq := condexp_ind_L1_fin_ae_eq_condexp_ind_smul hm ht hμt x,
refine eventually_eq.trans _ (eventually_eq.add hs_eq.symm ht_eq.symm),
rw condexp_ind_smul,
rw indicator_const_Lp_disjoint_union hs ht hμs hμt hst (1 : ℝ),
rw (condexp_L2 ℝ hm).map_add,
push_cast,
rw ((to_span_singleton ℝ x).comp_LpL 2 μ).map_add,
refine (Lp.coe_fn_add _ _).trans _,
refine eventually_of_forall (λ y, _),
refl,
end
end condexp_ind_L1_fin
open_locale classical
section condexp_ind_L1
/-- Conditional expectation of the indicator of a set, as a function in L1. Its value for sets
which are not both measurable and of finite measure is not used: we set it to 0. -/
def condexp_ind_L1 {m m0 : measurable_space α} (hm : m ≤ m0) (μ : measure α) (s : set α)
[sigma_finite (μ.trim hm)] (x : G) :
α →₁[μ] G :=
if hs : measurable_set s ∧ μ s ≠ ∞ then condexp_ind_L1_fin hm hs.1 hs.2 x else 0
variables {hm : m ≤ m0} [sigma_finite (μ.trim hm)]
lemma condexp_ind_L1_of_measurable_set_of_measure_ne_top (hs : measurable_set s) (hμs : μ s ≠ ∞)
(x : G) :
condexp_ind_L1 hm μ s x = condexp_ind_L1_fin hm hs hμs x :=
by simp only [condexp_ind_L1, and.intro hs hμs, dif_pos, ne.def, not_false_iff, and_self]
lemma condexp_ind_L1_of_measure_eq_top (hμs : μ s = ∞) (x : G) :
condexp_ind_L1 hm μ s x = 0 :=
by simp only [condexp_ind_L1, hμs, eq_self_iff_true, not_true, ne.def, dif_neg, not_false_iff,
and_false]
lemma condexp_ind_L1_of_not_measurable_set (hs : ¬ measurable_set s) (x : G) :
condexp_ind_L1 hm μ s x = 0 :=
by simp only [condexp_ind_L1, hs, dif_neg, not_false_iff, false_and]
lemma condexp_ind_L1_add (x y : G) :
condexp_ind_L1 hm μ s (x + y) = condexp_ind_L1 hm μ s x + condexp_ind_L1 hm μ s y :=
begin
by_cases hs : measurable_set s,
swap, {simp_rw condexp_ind_L1_of_not_measurable_set hs, rw zero_add, },
by_cases hμs : μ s = ∞,
{ simp_rw condexp_ind_L1_of_measure_eq_top hμs, rw zero_add, },
{ simp_rw condexp_ind_L1_of_measurable_set_of_measure_ne_top hs hμs,
exact condexp_ind_L1_fin_add hs hμs x y, },
end
lemma condexp_ind_L1_smul (c : ℝ) (x : G) :
condexp_ind_L1 hm μ s (c • x) = c • condexp_ind_L1 hm μ s x :=
begin
by_cases hs : measurable_set s,
swap, {simp_rw condexp_ind_L1_of_not_measurable_set hs, rw smul_zero, },
by_cases hμs : μ s = ∞,
{ simp_rw condexp_ind_L1_of_measure_eq_top hμs, rw smul_zero, },
{ simp_rw condexp_ind_L1_of_measurable_set_of_measure_ne_top hs hμs,
exact condexp_ind_L1_fin_smul hs hμs c x, },
end
lemma condexp_ind_L1_smul' [normed_space ℝ F] [smul_comm_class ℝ 𝕜 F] (c : 𝕜) (x : F) :
condexp_ind_L1 hm μ s (c • x) = c • condexp_ind_L1 hm μ s x :=
begin
by_cases hs : measurable_set s,
swap, {simp_rw condexp_ind_L1_of_not_measurable_set hs, rw smul_zero, },
by_cases hμs : μ s = ∞,
{ simp_rw condexp_ind_L1_of_measure_eq_top hμs, rw smul_zero, },
{ simp_rw condexp_ind_L1_of_measurable_set_of_measure_ne_top hs hμs,
exact condexp_ind_L1_fin_smul' hs hμs c x, },
end
lemma norm_condexp_ind_L1_le (x : G) :
‖condexp_ind_L1 hm μ s x‖ ≤ (μ s).to_real * ‖x‖ :=
begin
by_cases hs : measurable_set s,
swap, {simp_rw condexp_ind_L1_of_not_measurable_set hs, rw Lp.norm_zero,
exact mul_nonneg ennreal.to_real_nonneg (norm_nonneg _), },
by_cases hμs : μ s = ∞,
{ rw [condexp_ind_L1_of_measure_eq_top hμs x, Lp.norm_zero],
exact mul_nonneg ennreal.to_real_nonneg (norm_nonneg _), },
{ rw condexp_ind_L1_of_measurable_set_of_measure_ne_top hs hμs x,
exact norm_condexp_ind_L1_fin_le hs hμs x, },
end
lemma continuous_condexp_ind_L1 : continuous (λ x : G, condexp_ind_L1 hm μ s x) :=
continuous_of_linear_of_bound condexp_ind_L1_add condexp_ind_L1_smul norm_condexp_ind_L1_le
lemma condexp_ind_L1_disjoint_union (hs : measurable_set s) (ht : measurable_set t)
(hμs : μ s ≠ ∞) (hμt : μ t ≠ ∞) (hst : s ∩ t = ∅) (x : G) :
condexp_ind_L1 hm μ (s ∪ t) x = condexp_ind_L1 hm μ s x + condexp_ind_L1 hm μ t x :=
begin
have hμst : μ (s ∪ t) ≠ ∞, from ((measure_union_le s t).trans_lt
(lt_top_iff_ne_top.mpr (ennreal.add_ne_top.mpr ⟨hμs, hμt⟩))).ne,
rw [condexp_ind_L1_of_measurable_set_of_measure_ne_top hs hμs x,
condexp_ind_L1_of_measurable_set_of_measure_ne_top ht hμt x,
condexp_ind_L1_of_measurable_set_of_measure_ne_top (hs.union ht) hμst x],
exact condexp_ind_L1_fin_disjoint_union hs ht hμs hμt hst x,
end
end condexp_ind_L1
/-- Conditional expectation of the indicator of a set, as a linear map from `G` to L1. -/
def condexp_ind {m m0 : measurable_space α} (hm : m ≤ m0) (μ : measure α) [sigma_finite (μ.trim hm)]
(s : set α) : G →L[ℝ] α →₁[μ] G :=
{ to_fun := condexp_ind_L1 hm μ s,
map_add' := condexp_ind_L1_add,
map_smul' := condexp_ind_L1_smul,
cont := continuous_condexp_ind_L1, }
lemma condexp_ind_ae_eq_condexp_ind_smul (hm : m ≤ m0) [sigma_finite (μ.trim hm)]
(hs : measurable_set s) (hμs : μ s ≠ ∞) (x : G) :
condexp_ind hm μ s x =ᵐ[μ] condexp_ind_smul hm hs hμs x :=
begin
refine eventually_eq.trans _ (condexp_ind_L1_fin_ae_eq_condexp_ind_smul hm hs hμs x),
simp [condexp_ind, condexp_ind_L1, hs, hμs],
end
variables {hm : m ≤ m0} [sigma_finite (μ.trim hm)]
lemma ae_strongly_measurable'_condexp_ind (hs : measurable_set s) (hμs : μ s ≠ ∞) (x : G) :
ae_strongly_measurable' m (condexp_ind hm μ s x) μ :=
ae_strongly_measurable'.congr (ae_strongly_measurable'_condexp_ind_smul hm hs hμs x)
(condexp_ind_ae_eq_condexp_ind_smul hm hs hμs x).symm
@[simp] lemma condexp_ind_empty : condexp_ind hm μ ∅ = (0 : G →L[ℝ] α →₁[μ] G) :=
begin
ext1,
ext1,
refine (condexp_ind_ae_eq_condexp_ind_smul hm measurable_set.empty (by simp) x).trans _,
rw condexp_ind_smul_empty,
refine (Lp.coe_fn_zero G 2 μ).trans _,
refine eventually_eq.trans _ (Lp.coe_fn_zero G 1 μ).symm,
refl,
end
lemma condexp_ind_smul' [normed_space ℝ F] [smul_comm_class ℝ 𝕜 F] (c : 𝕜) (x : F) :
condexp_ind hm μ s (c • x) = c • condexp_ind hm μ s x :=
condexp_ind_L1_smul' c x
lemma norm_condexp_ind_apply_le (x : G) : ‖condexp_ind hm μ s x‖ ≤ (μ s).to_real * ‖x‖ :=
norm_condexp_ind_L1_le x
lemma norm_condexp_ind_le : ‖(condexp_ind hm μ s : G →L[ℝ] α →₁[μ] G)‖ ≤ (μ s).to_real :=
continuous_linear_map.op_norm_le_bound _ ennreal.to_real_nonneg norm_condexp_ind_apply_le
lemma condexp_ind_disjoint_union_apply (hs : measurable_set s) (ht : measurable_set t)
(hμs : μ s ≠ ∞) (hμt : μ t ≠ ∞) (hst : s ∩ t = ∅) (x : G) :
condexp_ind hm μ (s ∪ t) x = condexp_ind hm μ s x + condexp_ind hm μ t x :=
condexp_ind_L1_disjoint_union hs ht hμs hμt hst x
lemma condexp_ind_disjoint_union (hs : measurable_set s) (ht : measurable_set t) (hμs : μ s ≠ ∞)
(hμt : μ t ≠ ∞) (hst : s ∩ t = ∅) :
(condexp_ind hm μ (s ∪ t) : G →L[ℝ] α →₁[μ] G) = condexp_ind hm μ s + condexp_ind hm μ t :=
by { ext1, push_cast, exact condexp_ind_disjoint_union_apply hs ht hμs hμt hst x, }
variables (G)
lemma dominated_fin_meas_additive_condexp_ind (hm : m ≤ m0) (μ : measure α)
[sigma_finite (μ.trim hm)] :
dominated_fin_meas_additive μ (condexp_ind hm μ : set α → G →L[ℝ] α →₁[μ] G) 1 :=
⟨λ s t, condexp_ind_disjoint_union, λ s _ _, norm_condexp_ind_le.trans (one_mul _).symm.le⟩
variables {G}
lemma set_integral_condexp_ind (hs : measurable_set[m] s) (ht : measurable_set t) (hμs : μ s ≠ ∞)
(hμt : μ t ≠ ∞) (x : G') :
∫ a in s, condexp_ind hm μ t x a ∂μ = (μ (t ∩ s)).to_real • x :=
calc
∫ a in s, condexp_ind hm μ t x a ∂μ = ∫ a in s, condexp_ind_smul hm ht hμt x a ∂μ :
set_integral_congr_ae (hm s hs)
((condexp_ind_ae_eq_condexp_ind_smul hm ht hμt x).mono (λ x hx hxs, hx))
... = (μ (t ∩ s)).to_real • x : set_integral_condexp_ind_smul hs ht hμs hμt x
lemma condexp_ind_of_measurable (hs : measurable_set[m] s) (hμs : μ s ≠ ∞) (c : G) :
condexp_ind hm μ s c = indicator_const_Lp 1 (hm s hs) hμs c :=
begin
ext1,
refine eventually_eq.trans _ indicator_const_Lp_coe_fn.symm,
refine (condexp_ind_ae_eq_condexp_ind_smul hm (hm s hs) hμs c).trans _,
refine (condexp_ind_smul_ae_eq_smul hm (hm s hs) hμs c).trans _,
rw [Lp_meas_coe, condexp_L2_indicator_of_measurable hm hs hμs (1 : ℝ)],
refine (@indicator_const_Lp_coe_fn α _ _ 2 μ _ s (hm s hs) hμs (1 : ℝ)).mono (λ x hx, _),
dsimp only,
rw hx,
by_cases hx_mem : x ∈ s; simp [hx_mem],
end
lemma condexp_ind_nonneg {E} [normed_lattice_add_comm_group E] [normed_space ℝ E] [ordered_smul ℝ E]
(hs : measurable_set s) (hμs : μ s ≠ ∞) (x : E) (hx : 0 ≤ x) :
0 ≤ condexp_ind hm μ s x :=
begin
rw ← coe_fn_le,
refine eventually_le.trans_eq _ (condexp_ind_ae_eq_condexp_ind_smul hm hs hμs x).symm,
exact (coe_fn_zero E 1 μ).trans_le (condexp_ind_smul_nonneg hs hμs x hx),
end
end condexp_ind
section condexp_L1
variables {m m0 : measurable_space α} {μ : measure α}
{hm : m ≤ m0} [sigma_finite (μ.trim hm)] {f g : α → F'} {s : set α}
/-- Conditional expectation of a function as a linear map from `α →₁[μ] F'` to itself. -/
def condexp_L1_clm (hm : m ≤ m0) (μ : measure α) [sigma_finite (μ.trim hm)] :
(α →₁[μ] F') →L[ℝ] α →₁[μ] F' :=
L1.set_to_L1 (dominated_fin_meas_additive_condexp_ind F' hm μ)
lemma condexp_L1_clm_smul (c : 𝕜) (f : α →₁[μ] F') :
condexp_L1_clm hm μ (c • f) = c • condexp_L1_clm hm μ f :=
L1.set_to_L1_smul (dominated_fin_meas_additive_condexp_ind F' hm μ)
(λ c s x, condexp_ind_smul' c x) c f
lemma condexp_L1_clm_indicator_const_Lp (hs : measurable_set s) (hμs : μ s ≠ ∞) (x : F') :
(condexp_L1_clm hm μ) (indicator_const_Lp 1 hs hμs x) = condexp_ind hm μ s x :=
L1.set_to_L1_indicator_const_Lp (dominated_fin_meas_additive_condexp_ind F' hm μ) hs hμs x
lemma condexp_L1_clm_indicator_const (hs : measurable_set s) (hμs : μ s ≠ ∞) (x : F') :
(condexp_L1_clm hm μ) ↑(simple_func.indicator_const 1 hs hμs x) = condexp_ind hm μ s x :=
by { rw Lp.simple_func.coe_indicator_const, exact condexp_L1_clm_indicator_const_Lp hs hμs x, }
/-- Auxiliary lemma used in the proof of `set_integral_condexp_L1_clm`. -/
lemma set_integral_condexp_L1_clm_of_measure_ne_top (f : α →₁[μ] F') (hs : measurable_set[m] s)
(hμs : μ s ≠ ∞) :
∫ x in s, condexp_L1_clm hm μ f x ∂μ = ∫ x in s, f x ∂μ :=
begin
refine Lp.induction ennreal.one_ne_top
(λ f : α →₁[μ] F', ∫ x in s, condexp_L1_clm hm μ f x ∂μ = ∫ x in s, f x ∂μ)
_ _ (is_closed_eq _ _) f,
{ intros x t ht hμt,
simp_rw condexp_L1_clm_indicator_const ht hμt.ne x,
rw [Lp.simple_func.coe_indicator_const, set_integral_indicator_const_Lp (hm _ hs)],
exact set_integral_condexp_ind hs ht hμs hμt.ne x, },
{ intros f g hf_Lp hg_Lp hfg_disj hf hg,
simp_rw (condexp_L1_clm hm μ).map_add,
rw set_integral_congr_ae (hm s hs) ((Lp.coe_fn_add (condexp_L1_clm hm μ (hf_Lp.to_Lp f))
(condexp_L1_clm hm μ (hg_Lp.to_Lp g))).mono (λ x hx hxs, hx)),
rw set_integral_congr_ae (hm s hs) ((Lp.coe_fn_add (hf_Lp.to_Lp f) (hg_Lp.to_Lp g)).mono
(λ x hx hxs, hx)),
simp_rw pi.add_apply,
rw [integral_add (L1.integrable_coe_fn _).integrable_on (L1.integrable_coe_fn _).integrable_on,
integral_add (L1.integrable_coe_fn _).integrable_on (L1.integrable_coe_fn _).integrable_on,
hf, hg], },
{ exact (continuous_set_integral s).comp (condexp_L1_clm hm μ).continuous, },
{ exact continuous_set_integral s, },
end
/-- The integral of the conditional expectation `condexp_L1_clm` over an `m`-measurable set is equal
to the integral of `f` on that set. See also `set_integral_condexp`, the similar statement for
`condexp`. -/
lemma set_integral_condexp_L1_clm (f : α →₁[μ] F') (hs : measurable_set[m] s) :
∫ x in s, condexp_L1_clm hm μ f x ∂μ = ∫ x in s, f x ∂μ :=
begin
let S := spanning_sets (μ.trim hm),
have hS_meas : ∀ i, measurable_set[m] (S i) := measurable_spanning_sets (μ.trim hm),
have hS_meas0 : ∀ i, measurable_set (S i) := λ i, hm _ (hS_meas i),
have hs_eq : s = ⋃ i, S i ∩ s,
{ simp_rw set.inter_comm,
rw [← set.inter_Union, (Union_spanning_sets (μ.trim hm)), set.inter_univ], },
have hS_finite : ∀ i, μ (S i ∩ s) < ∞,
{ refine λ i, (measure_mono (set.inter_subset_left _ _)).trans_lt _,
have hS_finite_trim := measure_spanning_sets_lt_top (μ.trim hm) i,
rwa trim_measurable_set_eq hm (hS_meas i) at hS_finite_trim, },
have h_mono : monotone (λ i, (S i) ∩ s),
{ intros i j hij x,
simp_rw set.mem_inter_iff,
exact λ h, ⟨monotone_spanning_sets (μ.trim hm) hij h.1, h.2⟩, },
have h_eq_forall : (λ i, ∫ x in (S i) ∩ s, condexp_L1_clm hm μ f x ∂μ)
= λ i, ∫ x in (S i) ∩ s, f x ∂μ,
from funext (λ i, set_integral_condexp_L1_clm_of_measure_ne_top f
(@measurable_set.inter α m _ _ (hS_meas i) hs) (hS_finite i).ne),
have h_right : tendsto (λ i, ∫ x in (S i) ∩ s, f x ∂μ) at_top (𝓝 (∫ x in s, f x ∂μ)),
{ have h := tendsto_set_integral_of_monotone (λ i, (hS_meas0 i).inter (hm s hs)) h_mono
(L1.integrable_coe_fn f).integrable_on,
rwa ← hs_eq at h, },
have h_left : tendsto (λ i, ∫ x in (S i) ∩ s, condexp_L1_clm hm μ f x ∂μ) at_top
(𝓝 (∫ x in s, condexp_L1_clm hm μ f x ∂μ)),
{ have h := tendsto_set_integral_of_monotone (λ i, (hS_meas0 i).inter (hm s hs))
h_mono (L1.integrable_coe_fn (condexp_L1_clm hm μ f)).integrable_on,
rwa ← hs_eq at h, },
rw h_eq_forall at h_left,
exact tendsto_nhds_unique h_left h_right,
end
lemma ae_strongly_measurable'_condexp_L1_clm (f : α →₁[μ] F') :
ae_strongly_measurable' m (condexp_L1_clm hm μ f) μ :=
begin
refine Lp.induction ennreal.one_ne_top
(λ f : α →₁[μ] F', ae_strongly_measurable' m (condexp_L1_clm hm μ f) μ)
_ _ _ f,
{ intros c s hs hμs,
rw condexp_L1_clm_indicator_const hs hμs.ne c,
exact ae_strongly_measurable'_condexp_ind hs hμs.ne c, },
{ intros f g hf hg h_disj hfm hgm,
rw (condexp_L1_clm hm μ).map_add,
refine ae_strongly_measurable'.congr _ (coe_fn_add _ _).symm,
exact ae_strongly_measurable'.add hfm hgm, },
{ have : {f : Lp F' 1 μ | ae_strongly_measurable' m (condexp_L1_clm hm μ f) μ}
= (condexp_L1_clm hm μ) ⁻¹' {f | ae_strongly_measurable' m f μ},
by refl,
rw this,
refine is_closed.preimage (condexp_L1_clm hm μ).continuous _,
exact is_closed_ae_strongly_measurable' hm, },
end
lemma condexp_L1_clm_Lp_meas (f : Lp_meas F' ℝ m 1 μ) :
condexp_L1_clm hm μ (f : α →₁[μ] F') = ↑f :=
begin
let g := Lp_meas_to_Lp_trim_lie F' ℝ 1 μ hm f,
have hfg : f = (Lp_meas_to_Lp_trim_lie F' ℝ 1 μ hm).symm g,
by simp only [linear_isometry_equiv.symm_apply_apply],
rw hfg,
refine @Lp.induction α F' m _ 1 (μ.trim hm) _ ennreal.coe_ne_top
(λ g : α →₁[μ.trim hm] F',
condexp_L1_clm hm μ ((Lp_meas_to_Lp_trim_lie F' ℝ 1 μ hm).symm g : α →₁[μ] F')
= ↑((Lp_meas_to_Lp_trim_lie F' ℝ 1 μ hm).symm g)) _ _ _ g,
{ intros c s hs hμs,
rw [Lp.simple_func.coe_indicator_const, Lp_meas_to_Lp_trim_lie_symm_indicator hs hμs.ne c,
condexp_L1_clm_indicator_const_Lp],
exact condexp_ind_of_measurable hs ((le_trim hm).trans_lt hμs).ne c, },
{ intros f g hf hg hfg_disj hf_eq hg_eq,
rw linear_isometry_equiv.map_add,
push_cast,
rw [map_add, hf_eq, hg_eq], },
{ refine is_closed_eq _ _,
{ refine (condexp_L1_clm hm μ).continuous.comp (continuous_induced_dom.comp _),
exact linear_isometry_equiv.continuous _, },
{ refine continuous_induced_dom.comp _,
exact linear_isometry_equiv.continuous _, }, },
end
lemma condexp_L1_clm_of_ae_strongly_measurable'
(f : α →₁[μ] F') (hfm : ae_strongly_measurable' m f μ) :
condexp_L1_clm hm μ f = f :=
condexp_L1_clm_Lp_meas (⟨f, hfm⟩ : Lp_meas F' ℝ m 1 μ)
/-- Conditional expectation of a function, in L1. Its value is 0 if the function is not
integrable. The function-valued `condexp` should be used instead in most cases. -/
def condexp_L1 (hm : m ≤ m0) (μ : measure α) [sigma_finite (μ.trim hm)] (f : α → F') : α →₁[μ] F' :=
set_to_fun μ (condexp_ind hm μ) (dominated_fin_meas_additive_condexp_ind F' hm μ) f
lemma condexp_L1_undef (hf : ¬ integrable f μ) : condexp_L1 hm μ f = 0 :=
set_to_fun_undef (dominated_fin_meas_additive_condexp_ind F' hm μ) hf
lemma condexp_L1_eq (hf : integrable f μ) :
condexp_L1 hm μ f = condexp_L1_clm hm μ (hf.to_L1 f) :=
set_to_fun_eq (dominated_fin_meas_additive_condexp_ind F' hm μ) hf
@[simp] lemma condexp_L1_zero : condexp_L1 hm μ (0 : α → F') = 0 :=
set_to_fun_zero _
@[simp] lemma condexp_L1_measure_zero (hm : m ≤ m0) : condexp_L1 hm (0 : measure α) f = 0 :=
set_to_fun_measure_zero _ rfl
lemma ae_strongly_measurable'_condexp_L1 {f : α → F'} :
ae_strongly_measurable' m (condexp_L1 hm μ f) μ :=
begin
by_cases hf : integrable f μ,
{ rw condexp_L1_eq hf,
exact ae_strongly_measurable'_condexp_L1_clm _, },
{ rw condexp_L1_undef hf,
refine ae_strongly_measurable'.congr _ (coe_fn_zero _ _ _).symm,
exact strongly_measurable.ae_strongly_measurable' (@strongly_measurable_zero _ _ m _ _), },
end
lemma condexp_L1_congr_ae (hm : m ≤ m0) [sigma_finite (μ.trim hm)] (h : f =ᵐ[μ] g) :
condexp_L1 hm μ f = condexp_L1 hm μ g :=
set_to_fun_congr_ae _ h
lemma integrable_condexp_L1 (f : α → F') : integrable (condexp_L1 hm μ f) μ :=
L1.integrable_coe_fn _
/-- The integral of the conditional expectation `condexp_L1` over an `m`-measurable set is equal to
the integral of `f` on that set. See also `set_integral_condexp`, the similar statement for
`condexp`. -/
lemma set_integral_condexp_L1 (hf : integrable f μ) (hs : measurable_set[m] s) :
∫ x in s, condexp_L1 hm μ f x ∂μ = ∫ x in s, f x ∂μ :=
begin
simp_rw condexp_L1_eq hf,
rw set_integral_condexp_L1_clm (hf.to_L1 f) hs,
exact set_integral_congr_ae (hm s hs) ((hf.coe_fn_to_L1).mono (λ x hx hxs, hx)),
end
lemma condexp_L1_add (hf : integrable f μ) (hg : integrable g μ) :
condexp_L1 hm μ (f + g) = condexp_L1 hm μ f + condexp_L1 hm μ g :=
set_to_fun_add _ hf hg
lemma condexp_L1_neg (f : α → F') : condexp_L1 hm μ (-f) = - condexp_L1 hm μ f :=
set_to_fun_neg _ f
lemma condexp_L1_smul (c : 𝕜) (f : α → F') : condexp_L1 hm μ (c • f) = c • condexp_L1 hm μ f :=
set_to_fun_smul _ (λ c _ x, condexp_ind_smul' c x) c f
lemma condexp_L1_sub (hf : integrable f μ) (hg : integrable g μ) :
condexp_L1 hm μ (f - g) = condexp_L1 hm μ f - condexp_L1 hm μ g :=
set_to_fun_sub _ hf hg
lemma condexp_L1_of_ae_strongly_measurable'
(hfm : ae_strongly_measurable' m f μ) (hfi : integrable f μ) :
condexp_L1 hm μ f =ᵐ[μ] f :=
begin
rw condexp_L1_eq hfi,
refine eventually_eq.trans _ (integrable.coe_fn_to_L1 hfi),
rw condexp_L1_clm_of_ae_strongly_measurable',
exact ae_strongly_measurable'.congr hfm (integrable.coe_fn_to_L1 hfi).symm,
end
lemma condexp_L1_mono {E} [normed_lattice_add_comm_group E] [complete_space E] [normed_space ℝ E]
[ordered_smul ℝ E] {f g : α → E}
(hf : integrable f μ) (hg : integrable g μ) (hfg : f ≤ᵐ[μ] g) :
condexp_L1 hm μ f ≤ᵐ[μ] condexp_L1 hm μ g :=
begin
rw coe_fn_le,
have h_nonneg : ∀ s, measurable_set s → μ s < ∞ → ∀ x : E, 0 ≤ x → 0 ≤ condexp_ind hm μ s x,
from λ s hs hμs x hx, condexp_ind_nonneg hs hμs.ne x hx,
exact set_to_fun_mono (dominated_fin_meas_additive_condexp_ind E hm μ) h_nonneg hf hg hfg,
end
end condexp_L1
end measure_theory
|
dcd3f4ffa6658990f4b69950efec970f03a82601 | 4fa161becb8ce7378a709f5992a594764699e268 | /src/field_theory/minimal_polynomial.lean | b3d64e0da4dce97766538f8784b870af5830d8e4 | [
"Apache-2.0"
] | permissive | laughinggas/mathlib | e4aa4565ae34e46e834434284cb26bd9d67bc373 | 86dcd5cda7a5017c8b3c8876c89a510a19d49aad | refs/heads/master | 1,669,496,232,688 | 1,592,831,995,000 | 1,592,831,995,000 | 274,155,979 | 0 | 0 | Apache-2.0 | 1,592,835,190,000 | 1,592,835,189,000 | null | UTF-8 | Lean | false | false | 8,796 | lean | /-
Copyright (c) 2019 Chris Hughes. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Chris Hughes, Johan Commelin
-/
import ring_theory.integral_closure
/-!
# Minimal polynomials
This file defines the minimal polynomial of an element x of an A-algebra B,
under the assumption that x is integral over A.
After stating the defining property we specialize to the setting of field extensions
and derive some well-known properties, amongst which the fact that minimal polynomials
are irreducible, and uniquely determined by their defining property.
-/
universes u v w
open_locale classical
open polynomial set function
variables {α : Type u} {β : Type v}
section min_poly_def
variables [comm_ring α] [comm_ring β] [algebra α β]
/-- Let B be an A-algebra, and x an element of B that is integral over A.
The minimal polynomial of x is a monic polynomial of smallest degree that has x as its root. -/
noncomputable def minimal_polynomial {x : β} (hx : is_integral α x) : polynomial α :=
well_founded.min polynomial.degree_lt_wf _ hx
end min_poly_def
namespace minimal_polynomial
section ring
variables [comm_ring α] [comm_ring β] [algebra α β]
variables {x : β} (hx : is_integral α x)
/--A minimal polynomial is monic.-/
lemma monic : monic (minimal_polynomial hx) :=
(well_founded.min_mem degree_lt_wf _ hx).1
/--An element is a root of its minimal polynomial.-/
@[simp] lemma aeval : aeval α β x (minimal_polynomial hx) = 0 :=
(well_founded.min_mem degree_lt_wf _ hx).2
/--The defining property of the minimal polynomial of an element x:
it is the monic polynomial with smallest degree that has x as its root.-/
lemma min {p : polynomial α} (pmonic : p.monic) (hp : polynomial.aeval α β x p = 0) :
degree (minimal_polynomial hx) ≤ degree p :=
le_of_not_lt $ well_founded.not_lt_min degree_lt_wf _ hx ⟨pmonic, hp⟩
end ring
section field
variables [field α] [field β] [algebra α β]
variables {x : β} (hx : is_integral α x)
/--A minimal polynomial is nonzero.-/
lemma ne_zero : (minimal_polynomial hx) ≠ 0 :=
ne_zero_of_monic (monic hx)
/--If an element x is a root of a nonzero polynomial p,
then the degree of p is at least the degree of the minimal polynomial of x.-/
lemma degree_le_of_ne_zero
{p : polynomial α} (pnz : p ≠ 0) (hp : polynomial.aeval α β x p = 0) :
degree (minimal_polynomial hx) ≤ degree p :=
calc degree (minimal_polynomial hx) ≤ degree (p * C (leading_coeff p)⁻¹) :
min _ (monic_mul_leading_coeff_inv pnz) (by simp [hp])
... = degree p : degree_mul_leading_coeff_inv p pnz
/--The minimal polynomial of an element x is uniquely characterized by its defining property:
if there is another monic polynomial of minimal degree that has x as a root,
then this polynomial is equal to the minimal polynomial of x.-/
lemma unique {p : polynomial α} (pmonic : p.monic) (hp : polynomial.aeval α β x p = 0)
(pmin : ∀ q : polynomial α, q.monic → polynomial.aeval α β x q = 0 → degree p ≤ degree q) :
p = minimal_polynomial hx :=
begin
symmetry, apply eq_of_sub_eq_zero,
by_contra hnz,
have := degree_le_of_ne_zero hx hnz (by simp [hp]),
contrapose! this,
apply degree_sub_lt _ (ne_zero hx),
{ rw [(monic hx).leading_coeff, pmonic.leading_coeff] },
{ exact le_antisymm (min hx pmonic hp)
(pmin (minimal_polynomial hx) (monic hx) (aeval hx)) },
end
/--If an element x is a root of a polynomial p, then the minimal polynomial of x divides p.-/
lemma dvd {p : polynomial α} (hp : polynomial.aeval α β x p = 0) :
minimal_polynomial hx ∣ p :=
begin
rw ← dvd_iff_mod_by_monic_eq_zero (monic hx),
by_contra hnz,
have := degree_le_of_ne_zero hx hnz _,
{ contrapose! this,
exact degree_mod_by_monic_lt _ (monic hx) (ne_zero hx) },
{ rw ← mod_by_monic_add_div p (monic hx) at hp,
simpa using hp }
end
/--The degree of a minimal polynomial is nonzero.-/
lemma degree_ne_zero : degree (minimal_polynomial hx) ≠ 0 :=
begin
assume deg_eq_zero,
have ndeg_eq_zero : nat_degree (minimal_polynomial hx) = 0,
{ simpa using congr_arg nat_degree (eq_C_of_degree_eq_zero deg_eq_zero) },
have eq_one : minimal_polynomial hx = 1,
{ rw eq_C_of_degree_eq_zero deg_eq_zero, convert C_1,
simpa [ndeg_eq_zero.symm] using (monic hx).leading_coeff },
simpa [eq_one, aeval_def] using aeval hx
end
/--A minimal polynomial is not a unit.-/
lemma not_is_unit : ¬ is_unit (minimal_polynomial hx) :=
assume H, degree_ne_zero hx $ degree_eq_zero_of_is_unit H
/--The degree of a minimal polynomial is positive.-/
lemma degree_pos : 0 < degree (minimal_polynomial hx) :=
degree_pos_of_ne_zero_of_nonunit (ne_zero hx) (not_is_unit hx)
/--A minimal polynomial is prime.-/
lemma prime : prime (minimal_polynomial hx) :=
begin
refine ⟨ne_zero hx, not_is_unit hx, _⟩,
rintros p q ⟨d, h⟩,
have : polynomial.aeval α β x (p*q) = 0 := by simp [h, aeval hx],
replace : polynomial.aeval α β x p = 0 ∨ polynomial.aeval α β x q = 0 := by simpa,
cases this; [left, right]; apply dvd; assumption
end
/--A minimal polynomial is irreducible.-/
lemma irreducible : irreducible (minimal_polynomial hx) :=
irreducible_of_prime (prime hx)
/--If L/K is a field extension, and x is an element of L in the image of K,
then the minimal polynomial of x is X - C x.-/
@[simp] protected lemma algebra_map (a : α) (ha : is_integral α (algebra_map α β a)) :
minimal_polynomial ha = X - C a :=
begin
refine (unique ha (monic_X_sub_C a) (by simp [aeval_def]) _).symm,
intros q hq H,
rw degree_X_sub_C,
suffices : 0 < degree q,
{ -- This part is annoying and shouldn't be there.
have q_ne_zero : q ≠ 0,
{ apply polynomial.ne_zero_of_degree_gt this },
rw degree_eq_nat_degree q_ne_zero at this ⊢,
rw [← with_bot.coe_zero, with_bot.coe_lt_coe] at this,
rwa [← with_bot.coe_one, with_bot.coe_le_coe], },
apply degree_pos_of_root (ne_zero_of_monic hq),
show is_root q a,
apply (algebra_map α β).injective,
rw [(algebra_map α β).map_zero, ← H],
exact q.hom_eval₂ (ring_hom.id _) (algebra_map α β) _,
end
variable (β)
/--If L/K is a field extension, and x is an element of L in the image of K,
then the minimal polynomial of x is X - C x.-/
lemma algebra_map' (a : α) :
minimal_polynomial (@is_integral_algebra_map α β _ _ _ a) =
X - C a :=
minimal_polynomial.algebra_map _ _
variable {β}
/--The minimal polynomial of 0 is X.-/
@[simp] lemma zero {h₀ : is_integral α (0:β)} :
minimal_polynomial h₀ = X :=
by simpa only [add_zero, polynomial.C_0, sub_eq_add_neg, neg_zero, ring_hom.map_zero]
using algebra_map' β (0:α)
/--The minimal polynomial of 1 is X - 1.-/
@[simp] lemma one {h₁ : is_integral α (1:β)} :
minimal_polynomial h₁ = X - 1 :=
by simpa only [ring_hom.map_one, polynomial.C_1, sub_eq_add_neg]
using algebra_map' β (1:α)
/--If L/K is a field extension and an element y of K is a root of the minimal polynomial
of an element x ∈ L, then y maps to x under the field embedding.-/
lemma root {x : β} (hx : is_integral α x) {y : α}
(h : is_root (minimal_polynomial hx) y) : algebra_map α β y = x :=
begin
have ndeg_one : nat_degree (minimal_polynomial hx) = 1,
{ rw ← polynomial.degree_eq_iff_nat_degree_eq_of_pos (nat.zero_lt_one),
exact degree_eq_one_of_irreducible_of_root (irreducible hx) h },
have coeff_one : (minimal_polynomial hx).coeff 1 = 1,
{ simpa only [ndeg_one, leading_coeff] using (monic hx).leading_coeff },
have hy : y = - coeff (minimal_polynomial hx) 0,
{ rw (minimal_polynomial hx).as_sum at h,
apply eq_neg_of_add_eq_zero,
simpa only [ndeg_one, coeff_one, C_1, eval_C, eval_X, eval_add, mul_one, one_mul, pow_zero, pow_one,
is_root.def, finset.sum_range_succ, finset.sum_singleton, finset.range_one] using h, },
subst y,
rw [ring_hom.map_neg, neg_eq_iff_add_eq_zero],
have H := aeval hx,
rw (minimal_polynomial hx).as_sum at H,
simpa only [ndeg_one, coeff_one, aeval_def, C_1, eval₂_add, eval₂_C, eval₂_X,
mul_one, one_mul, pow_one, pow_zero, add_comm,
finset.sum_range_succ, finset.sum_singleton, finset.range_one] using H,
end
/--The constant coefficient of the minimal polynomial of x is 0
if and only if x = 0.-/
@[simp] lemma coeff_zero_eq_zero : coeff (minimal_polynomial hx) 0 = 0 ↔ x = 0 :=
begin
split,
{ intro h,
have zero_root := polynomial.zero_is_root_of_coeff_zero_eq_zero h,
rw ← root hx zero_root,
exact is_ring_hom.map_zero _ },
{ rintro rfl, simp }
end
/--The minimal polynomial of a nonzero element has nonzero constant coefficient.-/
lemma coeff_zero_ne_zero (h : x ≠ 0) : coeff (minimal_polynomial hx) 0 ≠ 0 :=
by { contrapose! h, simpa using h }
end field
end minimal_polynomial
|
0715e92551852103e660e008f58d2a0e3184d30f | 8cae430f0a71442d02dbb1cbb14073b31048e4b0 | /test/find_unused_decl1.lean | 68a889e439b6642a4bbb72ea0d350fc7c3a00ae2 | [
"Apache-2.0"
] | permissive | leanprover-community/mathlib | 56a2cadd17ac88caf4ece0a775932fa26327ba0e | 442a83d738cb208d3600056c489be16900ba701d | refs/heads/master | 1,693,584,102,358 | 1,693,471,902,000 | 1,693,471,902,000 | 97,922,418 | 1,595 | 352 | Apache-2.0 | 1,694,693,445,000 | 1,500,624,130,000 | Lean | UTF-8 | Lean | false | false | 785 | lean |
import .find_unused_decl2
def this_is_unused := ()
@[main_declaration]
def main_thing := used_somewhere_else
run_cmd do
ds ← tactic.all_unused [none],
let es := [`this_is_unused],
guard (ds.keys = es) <|>
fail!"wrong declarations: {ds.keys},\nexpected: {es}"
run_cmd do
ds ← tactic.all_unused ["test/find_unused_decl2.lean"],
let es := [`used_somewhere_else,`unused_type,`unused1],
guard (ds.keys = [`used_somewhere_else,`unused_type,`unused1]) <|>
fail!"wrong declarations: {ds.keys},\nexpected: {es}"
run_cmd do
ds ← tactic.all_unused [none, "test/find_unused_decl2.lean"],
let es := [`this_is_unused,`unused_type,`unused1],
guard (ds.keys = [`this_is_unused,`unused_type,`unused1]) <|>
fail!"wrong declarations: {ds.keys},\nexpected: {es}"
|
9cc65901bce9e4aaf76fc84b22c204e0f95fe09c | 74addaa0e41490cbaf2abd313a764c96df57b05d | /Mathlib/Lean3Lib/init/control/functor.lean | 9c5e29d498b958261e312e9b711041cd405a229a | [] | no_license | AurelienSaue/Mathlib4_auto | f538cfd0980f65a6361eadea39e6fc639e9dae14 | 590df64109b08190abe22358fabc3eae000943f2 | refs/heads/master | 1,683,906,849,776 | 1,622,564,669,000 | 1,622,564,669,000 | 371,723,747 | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 682 | lean | /-
Copyright (c) Luke Nelson and Jared Roesch. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Luke Nelson, Jared Roesch, Sebastian Ullrich, Leonardo de Moura
-/
import Mathlib.PrePort
import Mathlib.Lean3Lib.init.core
import Mathlib.Lean3Lib.init.function
import Mathlib.Lean3Lib.init.meta.name
universes u v l
namespace Mathlib
infixr:100 " <$> " => Mathlib.functor.map
infixr:100 " <$ " => Mathlib.functor.map_const
def functor.map_const_rev {f : Type u → Type v} [Functor f] {α : Type u} {β : Type u} : f β → α → f α :=
fun (a : f β) (b : α) => b <$ a
infixr:100 " $> " => Mathlib.functor.map_const_rev
|
a02f39fdcba5df16d5b9d364bcf9b8536360742b | 6e8de6b43162bef473b4a0bd93b71db886df98ce | /src/affine_space/classical.lean | 7e5f71c7a50b03643dd2ffe3980b37b1cd0d3189 | [
"Unlicense"
] | permissive | adamtopaz/comb_geom | 38ec6fde8d2543f56227ec50cdfb86cac6ac33c1 | e16b629d6de3fbdea54a528755e7305dfb51e902 | refs/heads/master | 1,668,613,552,530 | 1,593,199,940,000 | 1,593,199,940,000 | 269,824,442 | 6 | 0 | Unlicense | 1,593,119,545,000 | 1,591,404,975,000 | Lean | UTF-8 | Lean | false | false | 1,463 | lean | import linear_algebra.affine_space
import ..pregeom.basic
import ..projective_space.classical
import data.set
/-!
# Affine spaces
Given a vector space `V`, we define the structure of an affine space on `V`.
This is denoted by `affine_geom k V`.
# Implementation
This is constructed in the "classical" way by restricting the projective geometry structure on the projectivization of `k × V` via the "canonical" embedding from `V`.
-/
variables (k : Type*) [field k]
variables (V : Type*) [add_comm_group V] [module k V]
open_locale classical
namespace affine_space
include k
/-- (1,v) is never zero for any vector v. -/
def affine_shift_ne_zero (v : V) : ((1,v) : k × V) ≠ 0 := by simp
/-- The embedding of `V` into the projectivization of `k × V`. -/
def affine_embedding : V → projectivization k (k × V) :=
λ v, projectivization.homogenize k (affine_shift_ne_zero k V v)
open function
lemma affine_embedding_injective : injective (affine_embedding k V) :=
begin
intros x y h,
unfold affine_embedding at h,
rw projectivization.homogenize_eq_iff' at h,
cases h with c hc,
simp only [prod.smul_mk, mul_one, algebra.id.smul_eq_mul, prod.mk.inj_iff] at hc,
cases hc with hc _,
rw [hc, one_smul] at *,
assumption,
end
/-- The affine geometry structure on a vector space. -/
def affine_geom : geometry V := @pregeom.geom.pullback.geom_instance _ _
(affine_embedding k V) _ (affine_embedding_injective _ _)
end affine_space |
c02691fed025a57817b44cc02a7058be0ccd5fa6 | 6432ea7a083ff6ba21ea17af9ee47b9c371760f7 | /tests/lean/CompilerProvokeFloatLet.lean | 13d8e5324273fed9aeda24ed44f5642b43693f9c | [
"Apache-2.0",
"LLVM-exception",
"NCSA",
"LGPL-3.0-only",
"LicenseRef-scancode-inner-net-2.0",
"BSD-3-Clause",
"LGPL-2.0-or-later",
"Spencer-94",
"LGPL-2.1-or-later",
"HPND",
"LicenseRef-scancode-pcre",
"ISC",
"LGPL-2.1-only",
"LicenseRef-scancode-other-permissive",
"SunPro",
"CMU-Mach"... | permissive | leanprover/lean4 | 4bdf9790294964627eb9be79f5e8f6157780b4cc | f1f9dc0f2f531af3312398999d8b8303fa5f096b | refs/heads/master | 1,693,360,665,786 | 1,693,350,868,000 | 1,693,350,868,000 | 129,571,436 | 2,827 | 311 | Apache-2.0 | 1,694,716,156,000 | 1,523,760,560,000 | Lean | UTF-8 | Lean | false | false | 256 | lean | set_option trace.Compiler.floatLetIn true in
def provokeFloatLet (x y : Nat) (cond : Bool) : Nat :=
let a := x ^ y
let b := x + y
let c := x - y
let dual := x * y
if cond then
match dual with
| 0 => a
| _ + 1 => c
else
b + dual
|
59861ddff6d1e4abab3d2098a6c2e3d1a275ae15 | 9be442d9ec2fcf442516ed6e9e1660aa9071b7bd | /tests/lean/run/parray1.lean | fe2112fdcee2d08a3de0c5b92ef96b34f3b99058 | [
"Apache-2.0",
"LLVM-exception",
"NCSA",
"LGPL-3.0-only",
"LicenseRef-scancode-inner-net-2.0",
"BSD-3-Clause",
"LGPL-2.0-or-later",
"Spencer-94",
"LGPL-2.1-or-later",
"HPND",
"LicenseRef-scancode-pcre",
"ISC",
"LGPL-2.1-only",
"LicenseRef-scancode-other-permissive",
"SunPro",
"CMU-Mach"... | permissive | EdAyers/lean4 | 57ac632d6b0789cb91fab2170e8c9e40441221bd | 37ba0df5841bde51dbc2329da81ac23d4f6a4de4 | refs/heads/master | 1,676,463,245,298 | 1,660,619,433,000 | 1,660,619,433,000 | 183,433,437 | 1 | 0 | Apache-2.0 | 1,657,612,672,000 | 1,556,196,574,000 | Lean | UTF-8 | Lean | false | false | 367 | lean | import Std.Data.PersistentArray
def check [BEq α] (as : List α) : Bool :=
as.toPersistentArray.foldr (.::.) [] == as
def tst1 : IO Unit := do
assert! check [1, 2, 3]
assert! check ([] : List Nat)
assert! check (List.iota 17)
assert! check (List.iota 533)
assert! check (List.iota 1000)
assert! check (List.iota 2600)
IO.println "done"
#eval tst1
|
5f65a17ce91666c59a8973bc21f5ca8d4282a740 | 6b45072eb2b3db3ecaace2a7a0241ce81f815787 | /data/int/basic.lean | 96b4fc4576ecf32776f5f13692097676b32e3c13 | [] | no_license | avigad/library_dev | 27b47257382667b5eb7e6476c4f5b0d685dd3ddc | 9d8ac7c7798ca550874e90fed585caad030bbfac | refs/heads/master | 1,610,452,468,791 | 1,500,712,839,000 | 1,500,713,478,000 | 69,311,142 | 1 | 0 | null | 1,474,942,903,000 | 1,474,942,902,000 | null | UTF-8 | Lean | false | false | 3,775 | lean | /-
Copyright (c) 2016 Jeremy Avigad. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jeremy Avigad
The integers, with addition, multiplication, and subtraction.
-/
import ..nat.sub
open nat
namespace int
theorem of_nat_add_neg_succ_of_nat_of_lt {m n : ℕ} (h : m < succ n) : of_nat m + -[1+n] = -[1+ n - m] :=
begin
change sub_nat_nat _ _ = _,
have h' : succ n - m = succ (n - m),
apply succ_sub,
apply le_of_lt_succ h,
simp [*, sub_nat_nat]
end
theorem of_nat_add_neg_succ_of_nat_of_ge {m n : ℕ} (h : m ≥ succ n) : of_nat m + -[1+n] = of_nat (m - succ n) :=
begin
change sub_nat_nat _ _ = _,
have h' : succ n - m = 0,
apply sub_eq_zero_of_le h,
simp [*, sub_nat_nat]
end
@[simp] lemma neg_add_neg (m n : ℕ) : -[1+m] + -[1+n] = -[1+nat.succ(m+n)] := rfl
end int
-- TODO: where to put these?
meta def simp_coe_attr : user_attribute :=
{ name := `simp.coe,
descr := "rules for pushing coercions inwards"}
run_cmd attribute.register ``simp_coe_attr
meta def simp_coe_out_attr : user_attribute :=
{ name := `simp.coe_out,
descr := "rules for pushing coercions outwards"}
run_cmd attribute.register ``simp_coe_out_attr
instance : inhabited ℤ := ⟨0⟩
meta instance : has_to_format ℤ := ⟨λ z, int.rec_on z (λ k, ↑k) (λ k, "-("++↑k++"+1)")⟩
/-
/- nat abs -/
theorem nat_abs_add_le (a b : ℤ) : nat_abs (a + b) ≤ nat_abs a + nat_abs b := sorry
theorem nat_abs_neg_of_nat (n : nat) : nat_abs (neg_of_nat n) = n :=
begin cases n, reflexivity, reflexivity end
section
local attribute nat_abs [reducible]
theorem nat_abs_mul : Π (a b : ℤ), nat_abs (a * b) = (nat_abs a) * (nat_abs b)
| (of_nat m) (of_nat n) := rfl
| (of_nat m) -[1+ n] := by rewrite [mul_of_nat_neg_succ_of_nat, nat_abs_neg_of_nat]
| -[1+ m] (of_nat n) := by rewrite [mul_neg_succ_of_nat_of_nat, nat_abs_neg_of_nat]
| -[1+ m] -[1+ n] := rfl
end
/- additional properties -/
theorem of_nat_sub {m n : ℕ} (H : m ≥ n) : of_nat (m - n) = of_nat m - of_nat n :=
have m - n + n = m, from nat.sub_add_cancel H,
begin
symmetry,
apply sub_eq_of_eq_add,
rewrite [←of_nat_add, this]
end
theorem neg_succ_of_nat_eq' (m : ℕ) : -[1+ m] = -m - 1 :=
by rewrite [neg_succ_of_nat_eq, neg_add]
def succ (a : ℤ) := a + (succ zero)
def pred (a : ℤ) := a - (succ zero)
def nat_succ_eq_int_succ (n : ℕ) : nat.succ n = int.succ n := rfl
theorem pred_succ (a : ℤ) : pred (succ a) = a := !sub_add_cancel
theorem succ_pred (a : ℤ) : succ (pred a) = a := !add_sub_cancel
theorem neg_succ (a : ℤ) : -succ a = pred (-a) :=
by rewrite [↑succ,neg_add]
theorem succ_neg_succ (a : ℤ) : succ (-succ a) = -a :=
by rewrite [neg_succ,succ_pred]
theorem neg_pred (a : ℤ) : -pred a = succ (-a) :=
by rewrite [↑pred,neg_sub,sub_eq_add_neg,add.comm]
theorem pred_neg_pred (a : ℤ) : pred (-pred a) = -a :=
by rewrite [neg_pred,pred_succ]
theorem pred_nat_succ (n : ℕ) : pred (nat.succ n) = n := pred_succ n
theorem neg_nat_succ (n : ℕ) : -nat.succ n = pred (-n) := !neg_succ
theorem succ_neg_nat_succ (n : ℕ) : succ (-nat.succ n) = -n := !succ_neg_succ
attribute [unfold 2]
def rec_nat_on {P : ℤ → Type} (z : ℤ) (H0 : P 0)
(Hsucc : Π⦃n : ℕ⦄, P n → P (succ n)) (Hpred : Π⦃n : ℕ⦄, P (-n) → P (-nat.succ n)) : P z :=
int.rec (nat.rec H0 Hsucc) (λn, nat.rec H0 Hpred (nat.succ n)) z
--the only computation rule of rec_nat_on which is not defintional
theorem rec_nat_on_neg {P : ℤ → Type} (n : nat) (H0 : P zero)
(Hsucc : Π⦃n : nat⦄, P n → P (succ n)) (Hpred : Π⦃n : nat⦄, P (-n) → P (-nat.succ n))
: rec_nat_on (-nat.succ n) H0 Hsucc Hpred = Hpred (rec_nat_on (-n) H0 Hsucc Hpred) :=
nat.rec rfl (λn H, rfl) n
end int
-/
|
35e83c8c87768b36141eb15bd350fba421df4607 | 8cae430f0a71442d02dbb1cbb14073b31048e4b0 | /src/algebra/order/monoid/cancel/defs.lean | d6c15af4ced82f3e64d3d6083d1848d82a1021e1 | [
"Apache-2.0"
] | permissive | leanprover-community/mathlib | 56a2cadd17ac88caf4ece0a775932fa26327ba0e | 442a83d738cb208d3600056c489be16900ba701d | refs/heads/master | 1,693,584,102,358 | 1,693,471,902,000 | 1,693,471,902,000 | 97,922,418 | 1,595 | 352 | Apache-2.0 | 1,694,693,445,000 | 1,500,624,130,000 | Lean | UTF-8 | Lean | false | false | 4,080 | lean | /-
Copyright (c) 2016 Jeremy Avigad. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jeremy Avigad, Leonardo de Moura, Mario Carneiro, Johannes Hölzl
-/
import algebra.order.monoid.defs
/-!
# Ordered cancellative monoids
> THIS FILE IS SYNCHRONIZED WITH MATHLIB4.
> Any changes to this file require a corresponding PR to mathlib4.
-/
universe u
variables {α : Type u}
open function
set_option old_structure_cmd true
/-- An ordered cancellative additive commutative monoid
is an additive commutative monoid with a partial order,
in which addition is cancellative and monotone. -/
@[protect_proj, ancestor add_comm_monoid partial_order]
class ordered_cancel_add_comm_monoid (α : Type u) extends add_comm_monoid α, partial_order α :=
(add_le_add_left : ∀ a b : α, a ≤ b → ∀ c : α, c + a ≤ c + b)
(le_of_add_le_add_left : ∀ a b c : α, a + b ≤ a + c → b ≤ c)
/-- An ordered cancellative commutative monoid
is a commutative monoid with a partial order,
in which multiplication is cancellative and monotone. -/
@[protect_proj, ancestor comm_monoid partial_order, to_additive]
class ordered_cancel_comm_monoid (α : Type u) extends comm_monoid α, partial_order α :=
(mul_le_mul_left : ∀ a b : α, a ≤ b → ∀ c : α, c * a ≤ c * b)
(le_of_mul_le_mul_left : ∀ a b c : α, a * b ≤ a * c → b ≤ c)
section ordered_cancel_comm_monoid
variables [ordered_cancel_comm_monoid α] {a b c d : α}
@[priority 200, to_additive] -- see Note [lower instance priority]
instance ordered_cancel_comm_monoid.to_contravariant_class_le_left :
contravariant_class α α (*) (≤) :=
⟨ordered_cancel_comm_monoid.le_of_mul_le_mul_left⟩
@[to_additive]
lemma ordered_cancel_comm_monoid.lt_of_mul_lt_mul_left : ∀ a b c : α, a * b < a * c → b < c :=
λ a b c h, lt_of_le_not_le
(ordered_cancel_comm_monoid.le_of_mul_le_mul_left a b c h.le) $
mt (λ h, ordered_cancel_comm_monoid.mul_le_mul_left _ _ h _) (not_le_of_gt h)
@[to_additive]
instance ordered_cancel_comm_monoid.to_contravariant_class_left
(M : Type*) [ordered_cancel_comm_monoid M] :
contravariant_class M M (*) (<) :=
{ elim := λ a b c, ordered_cancel_comm_monoid.lt_of_mul_lt_mul_left _ _ _ }
/- This instance can be proven with `by apply_instance`. However, by analogy with the
instance `ordered_cancel_comm_monoid.to_covariant_class_right` above, I imagine that without
this instance, some Type would not have a `contravariant_class M M (function.swap (*)) (<)`
instance. -/
@[to_additive]
instance ordered_cancel_comm_monoid.to_contravariant_class_right
(M : Type*) [ordered_cancel_comm_monoid M] :
contravariant_class M M (swap (*)) (<) :=
contravariant_swap_mul_lt_of_contravariant_mul_lt M
@[priority 100, to_additive] -- see Note [lower instance priority]
instance ordered_cancel_comm_monoid.to_ordered_comm_monoid : ordered_comm_monoid α :=
{ ..‹ordered_cancel_comm_monoid α› }
@[priority 100, to_additive] -- see Note [lower instance priority]
instance ordered_cancel_comm_monoid.to_cancel_comm_monoid : cancel_comm_monoid α :=
{ mul_left_cancel := λ a b c h,
(le_of_mul_le_mul_left' h.le).antisymm $ le_of_mul_le_mul_left' h.ge,
..‹ordered_cancel_comm_monoid α› }
end ordered_cancel_comm_monoid
/-- A linearly ordered cancellative additive commutative monoid
is an additive commutative monoid with a decidable linear order
in which addition is cancellative and monotone. -/
@[protect_proj, ancestor ordered_cancel_add_comm_monoid linear_ordered_add_comm_monoid]
class linear_ordered_cancel_add_comm_monoid (α : Type u)
extends ordered_cancel_add_comm_monoid α, linear_ordered_add_comm_monoid α
/-- A linearly ordered cancellative commutative monoid
is a commutative monoid with a linear order
in which multiplication is cancellative and monotone. -/
@[protect_proj, ancestor ordered_cancel_comm_monoid linear_ordered_comm_monoid, to_additive]
class linear_ordered_cancel_comm_monoid (α : Type u)
extends ordered_cancel_comm_monoid α, linear_ordered_comm_monoid α
|
96cf90f88db92cc3bf133e36959d2647d88cf486 | cf39355caa609c0f33405126beee2739aa3cb77e | /tests/lean/run/tc_loop.lean | 3bec3c7196f9285f38dc8047efa5a3c44525e001 | [
"Apache-2.0"
] | permissive | leanprover-community/lean | 12b87f69d92e614daea8bcc9d4de9a9ace089d0e | cce7990ea86a78bdb383e38ed7f9b5ba93c60ce0 | refs/heads/master | 1,687,508,156,644 | 1,684,951,104,000 | 1,684,951,104,000 | 169,960,991 | 457 | 107 | Apache-2.0 | 1,686,744,372,000 | 1,549,790,268,000 | C++ | UTF-8 | Lean | false | false | 306 | lean | open tactic
#check (do { trace "foo", trace_state } : tactic unit)
axiom Sorry {A : Sort*} : A
#check
λ (A : Sort*) (a b c d : A) (H₁ : a = b) (H₂ : c = b) (H₃ : d = c),
have a = c, by do { trace "have-expr...", trace_state, transitivity, assumption, symmetry, assumption },
show a = d, from Sorry
|
ec55336ae88ab03d81023bb55a2e76c3e514be36 | d406927ab5617694ec9ea7001f101b7c9e3d9702 | /src/order/bounded_order.lean | c04634f8e9f6fe68ad4c7f1072fa41600663fb89 | [
"Apache-2.0"
] | permissive | alreadydone/mathlib | dc0be621c6c8208c581f5170a8216c5ba6721927 | c982179ec21091d3e102d8a5d9f5fe06c8fafb73 | refs/heads/master | 1,685,523,275,196 | 1,670,184,141,000 | 1,670,184,141,000 | 287,574,545 | 0 | 0 | Apache-2.0 | 1,670,290,714,000 | 1,597,421,623,000 | Lean | UTF-8 | Lean | false | false | 21,730 | lean | /-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl
-/
import order.lattice
import data.option.basic
/-!
# ⊤ and ⊥, bounded lattices and variants
> THIS FILE IS SYNCHRONIZED WITH MATHLIB4.
> https://github.com/leanprover-community/mathlib4/pull/697
> Any changes to this file require a corresponding PR to mathlib4.
This file defines top and bottom elements (greatest and least elements) of a type, the bounded
variants of different kinds of lattices, sets up the typeclass hierarchy between them and provides
instances for `Prop` and `fun`.
## Main declarations
* `has_<top/bot> α`: Typeclasses to declare the `⊤`/`⊥` notation.
* `order_<top/bot> α`: Order with a top/bottom element.
* `bounded_order α`: Order with a top and bottom element.
## Common lattices
* Distributive lattices with a bottom element. Notated by `[distrib_lattice α] [order_bot α]`
It captures the properties of `disjoint` that are common to `generalized_boolean_algebra` and
`distrib_lattice` when `order_bot`.
* Bounded and distributive lattice. Notated by `[distrib_lattice α] [bounded_order α]`.
Typical examples include `Prop` and `set α`.
-/
open function order_dual
set_option old_structure_cmd true
universes u v
variables {α : Type u} {β : Type v} {γ δ : Type*}
/-! ### Top, bottom element -/
/-- Typeclass for the `⊤` (`\top`) notation -/
@[notation_class] class has_top (α : Type u) := (top : α)
/-- Typeclass for the `⊥` (`\bot`) notation -/
@[notation_class] class has_bot (α : Type u) := (bot : α)
notation `⊤` := has_top.top
notation `⊥` := has_bot.bot
@[priority 100] instance has_top_nonempty (α : Type u) [has_top α] : nonempty α := ⟨⊤⟩
@[priority 100] instance has_bot_nonempty (α : Type u) [has_bot α] : nonempty α := ⟨⊥⟩
attribute [pattern] has_bot.bot has_top.top
/-- An order is an `order_top` if it has a greatest element.
We state this using a data mixin, holding the value of `⊤` and the greatest element constraint. -/
@[ancestor has_top]
class order_top (α : Type u) [has_le α] extends has_top α :=
(le_top : ∀ a : α, a ≤ ⊤)
section order_top
/-- An order is (noncomputably) either an `order_top` or a `no_order_top`. Use as
`casesI bot_order_or_no_bot_order α`. -/
noncomputable def top_order_or_no_top_order (α : Type*) [has_le α] :
psum (order_top α) (no_top_order α) :=
begin
by_cases H : ∀ a : α, ∃ b, ¬ b ≤ a,
{ exact psum.inr ⟨H⟩ },
{ push_neg at H,
exact psum.inl ⟨_, classical.some_spec H⟩ }
end
section has_le
variables [has_le α] [order_top α] {a : α}
@[simp] lemma le_top : a ≤ ⊤ := order_top.le_top a
@[simp] lemma is_top_top : is_top (⊤ : α) := λ _, le_top
end has_le
section preorder
variables [preorder α] [order_top α] {a b : α}
@[simp] lemma is_max_top : is_max (⊤ : α) := is_top_top.is_max
@[simp] lemma not_top_lt : ¬ ⊤ < a := is_max_top.not_lt
lemma ne_top_of_lt (h : a < b) : a ≠ ⊤ := (h.trans_le le_top).ne
alias ne_top_of_lt ← has_lt.lt.ne_top
end preorder
variables [partial_order α] [order_top α] [preorder β] {f : α → β} {a b : α}
@[simp] lemma is_max_iff_eq_top : is_max a ↔ a = ⊤ :=
⟨λ h, h.eq_of_le le_top, λ h b _, h.symm ▸ le_top⟩
@[simp] lemma is_top_iff_eq_top : is_top a ↔ a = ⊤ :=
⟨λ h, h.is_max.eq_of_le le_top, λ h b, h.symm ▸ le_top⟩
lemma not_is_max_iff_ne_top : ¬ is_max a ↔ a ≠ ⊤ := is_max_iff_eq_top.not
lemma not_is_top_iff_ne_top : ¬ is_top a ↔ a ≠ ⊤ := is_top_iff_eq_top.not
alias is_max_iff_eq_top ↔ is_max.eq_top _
alias is_top_iff_eq_top ↔ is_top.eq_top _
@[simp] lemma top_le_iff : ⊤ ≤ a ↔ a = ⊤ := le_top.le_iff_eq.trans eq_comm
lemma top_unique (h : ⊤ ≤ a) : a = ⊤ := le_top.antisymm h
lemma eq_top_iff : a = ⊤ ↔ ⊤ ≤ a := top_le_iff.symm
lemma eq_top_mono (h : a ≤ b) (h₂ : a = ⊤) : b = ⊤ := top_unique $ h₂ ▸ h
lemma lt_top_iff_ne_top : a < ⊤ ↔ a ≠ ⊤ := le_top.lt_iff_ne
@[simp] lemma not_lt_top_iff : ¬ a < ⊤ ↔ a = ⊤ := lt_top_iff_ne_top.not_left
lemma eq_top_or_lt_top (a : α) : a = ⊤ ∨ a < ⊤ := le_top.eq_or_lt
lemma ne.lt_top (h : a ≠ ⊤) : a < ⊤ := lt_top_iff_ne_top.mpr h
lemma ne.lt_top' (h : ⊤ ≠ a) : a < ⊤ := h.symm.lt_top
lemma ne_top_of_le_ne_top (hb : b ≠ ⊤) (hab : a ≤ b) : a ≠ ⊤ := (hab.trans_lt hb.lt_top).ne
lemma strict_mono.apply_eq_top_iff (hf : strict_mono f) : f a = f ⊤ ↔ a = ⊤ :=
⟨λ h, not_lt_top_iff.1 $ λ ha, (hf ha).ne h, congr_arg _⟩
lemma strict_anti.apply_eq_top_iff (hf : strict_anti f) : f a = f ⊤ ↔ a = ⊤ :=
⟨λ h, not_lt_top_iff.1 $ λ ha, (hf ha).ne' h, congr_arg _⟩
variables [nontrivial α]
lemma not_is_min_top : ¬ is_min (⊤ : α) :=
λ h, let ⟨a, ha⟩ := exists_ne (⊤ : α) in ha $ top_le_iff.1 $ h le_top
end order_top
lemma strict_mono.maximal_preimage_top [linear_order α] [preorder β] [order_top β]
{f : α → β} (H : strict_mono f) {a} (h_top : f a = ⊤) (x : α) :
x ≤ a :=
H.maximal_of_maximal_image (λ p, by { rw h_top, exact le_top }) x
theorem order_top.ext_top {α} {hA : partial_order α} (A : order_top α)
{hB : partial_order α} (B : order_top α)
(H : ∀ x y : α, (by haveI := hA; exact x ≤ y) ↔ x ≤ y) :
(by haveI := A; exact ⊤ : α) = ⊤ :=
top_unique $ by rw ← H; apply le_top
theorem order_top.ext {α} [partial_order α] {A B : order_top α} : A = B :=
begin
have tt := order_top.ext_top A B (λ _ _, iff.rfl),
casesI A with _ ha, casesI B with _ hb,
congr,
exact le_antisymm (hb _) (ha _)
end
/-- An order is an `order_bot` if it has a least element.
We state this using a data mixin, holding the value of `⊥` and the least element constraint. -/
@[ancestor has_bot]
class order_bot (α : Type u) [has_le α] extends has_bot α :=
(bot_le : ∀ a : α, ⊥ ≤ a)
section order_bot
/-- An order is (noncomputably) either an `order_bot` or a `no_order_bot`. Use as
`casesI bot_order_or_no_bot_order α`. -/
noncomputable def bot_order_or_no_bot_order (α : Type*) [has_le α] :
psum (order_bot α) (no_bot_order α) :=
begin
by_cases H : ∀ a : α, ∃ b, ¬ a ≤ b,
{ exact psum.inr ⟨H⟩ },
{ push_neg at H,
exact psum.inl ⟨_, classical.some_spec H⟩ }
end
section has_le
variables [has_le α] [order_bot α] {a : α}
@[simp] lemma bot_le : ⊥ ≤ a := order_bot.bot_le a
@[simp] lemma is_bot_bot : is_bot (⊥ : α) := λ _, bot_le
end has_le
namespace order_dual
variable (α)
instance [has_bot α] : has_top αᵒᵈ := ⟨(⊥ : α)⟩
instance [has_top α] : has_bot αᵒᵈ := ⟨(⊤ : α)⟩
instance [has_le α] [order_bot α] : order_top αᵒᵈ :=
{ le_top := @bot_le α _ _,
.. order_dual.has_top α }
instance [has_le α] [order_top α] : order_bot αᵒᵈ :=
{ bot_le := @le_top α _ _,
.. order_dual.has_bot α }
@[simp] lemma of_dual_bot [has_top α] : of_dual ⊥ = (⊤ : α) := rfl
@[simp] lemma of_dual_top [has_bot α] : of_dual ⊤ = (⊥ : α) := rfl
@[simp] lemma to_dual_bot [has_bot α] : to_dual (⊥ : α) = ⊤ := rfl
@[simp] lemma to_dual_top [has_top α] : to_dual (⊤ : α) = ⊥ := rfl
end order_dual
section preorder
variables [preorder α] [order_bot α] {a b : α}
@[simp] lemma is_min_bot : is_min (⊥ : α) := is_bot_bot.is_min
@[simp] lemma not_lt_bot : ¬ a < ⊥ := is_min_bot.not_lt
lemma ne_bot_of_gt (h : a < b) : b ≠ ⊥ := (bot_le.trans_lt h).ne'
alias ne_bot_of_gt ← has_lt.lt.ne_bot
end preorder
variables [partial_order α] [order_bot α] [preorder β] {f : α → β} {a b : α}
@[simp] lemma is_min_iff_eq_bot : is_min a ↔ a = ⊥ :=
⟨λ h, h.eq_of_ge bot_le, λ h b _, h.symm ▸ bot_le⟩
@[simp] lemma is_bot_iff_eq_bot : is_bot a ↔ a = ⊥ :=
⟨λ h, h.is_min.eq_of_ge bot_le, λ h b, h.symm ▸ bot_le⟩
lemma not_is_min_iff_ne_bot : ¬ is_min a ↔ a ≠ ⊥ := is_min_iff_eq_bot.not
lemma not_is_bot_iff_ne_bot : ¬ is_bot a ↔ a ≠ ⊥ := is_bot_iff_eq_bot.not
alias is_min_iff_eq_bot ↔ is_min.eq_bot _
alias is_bot_iff_eq_bot ↔ is_bot.eq_bot _
@[simp] lemma le_bot_iff : a ≤ ⊥ ↔ a = ⊥ := bot_le.le_iff_eq
lemma bot_unique (h : a ≤ ⊥) : a = ⊥ := h.antisymm bot_le
lemma eq_bot_iff : a = ⊥ ↔ a ≤ ⊥ := le_bot_iff.symm
lemma eq_bot_mono (h : a ≤ b) (h₂ : b = ⊥) : a = ⊥ := bot_unique $ h₂ ▸ h
lemma bot_lt_iff_ne_bot : ⊥ < a ↔ a ≠ ⊥ := bot_le.lt_iff_ne.trans ne_comm
@[simp] lemma not_bot_lt_iff : ¬ ⊥ < a ↔ a = ⊥ := bot_lt_iff_ne_bot.not_left
lemma eq_bot_or_bot_lt (a : α) : a = ⊥ ∨ ⊥ < a := bot_le.eq_or_gt
lemma eq_bot_of_minimal (h : ∀ b, ¬ b < a) : a = ⊥ := (eq_bot_or_bot_lt a).resolve_right (h ⊥)
lemma ne.bot_lt (h : a ≠ ⊥) : ⊥ < a := bot_lt_iff_ne_bot.mpr h
lemma ne.bot_lt' (h : ⊥ ≠ a) : ⊥ < a := h.symm.bot_lt
lemma ne_bot_of_le_ne_bot (hb : b ≠ ⊥) (hab : b ≤ a) : a ≠ ⊥ := (hb.bot_lt.trans_le hab).ne'
lemma strict_mono.apply_eq_bot_iff (hf : strict_mono f) : f a = f ⊥ ↔ a = ⊥ :=
hf.dual.apply_eq_top_iff
lemma strict_anti.apply_eq_bot_iff (hf : strict_anti f) : f a = f ⊥ ↔ a = ⊥ :=
hf.dual.apply_eq_top_iff
variables [nontrivial α]
lemma not_is_max_bot : ¬ is_max (⊥ : α) := @not_is_min_top αᵒᵈ _ _ _
end order_bot
lemma strict_mono.minimal_preimage_bot [linear_order α] [partial_order β] [order_bot β]
{f : α → β} (H : strict_mono f) {a} (h_bot : f a = ⊥) (x : α) :
a ≤ x :=
H.minimal_of_minimal_image (λ p, by { rw h_bot, exact bot_le }) x
theorem order_bot.ext_bot {α} {hA : partial_order α} (A : order_bot α)
{hB : partial_order α} (B : order_bot α)
(H : ∀ x y : α, (by haveI := hA; exact x ≤ y) ↔ x ≤ y) :
(by haveI := A; exact ⊥ : α) = ⊥ :=
bot_unique $ by rw ← H; apply bot_le
theorem order_bot.ext {α} [partial_order α] {A B : order_bot α} : A = B :=
begin
have tt := order_bot.ext_bot A B (λ _ _, iff.rfl),
casesI A with a ha, casesI B with b hb,
congr,
exact le_antisymm (ha _) (hb _)
end
section semilattice_sup_top
variables [semilattice_sup α] [order_top α] {a : α}
@[simp] theorem top_sup_eq : ⊤ ⊔ a = ⊤ :=
sup_of_le_left le_top
@[simp] theorem sup_top_eq : a ⊔ ⊤ = ⊤ :=
sup_of_le_right le_top
end semilattice_sup_top
section semilattice_sup_bot
variables [semilattice_sup α] [order_bot α] {a b : α}
@[simp] theorem bot_sup_eq : ⊥ ⊔ a = a :=
sup_of_le_right bot_le
@[simp] theorem sup_bot_eq : a ⊔ ⊥ = a :=
sup_of_le_left bot_le
@[simp] theorem sup_eq_bot_iff : a ⊔ b = ⊥ ↔ (a = ⊥ ∧ b = ⊥) :=
by rw [eq_bot_iff, sup_le_iff]; simp
end semilattice_sup_bot
section semilattice_inf_top
variables [semilattice_inf α] [order_top α] {a b : α}
@[simp] theorem top_inf_eq : ⊤ ⊓ a = a :=
inf_of_le_right le_top
@[simp] theorem inf_top_eq : a ⊓ ⊤ = a :=
inf_of_le_left le_top
@[simp] theorem inf_eq_top_iff : a ⊓ b = ⊤ ↔ (a = ⊤ ∧ b = ⊤) :=
@sup_eq_bot_iff αᵒᵈ _ _ _ _
end semilattice_inf_top
section semilattice_inf_bot
variables [semilattice_inf α] [order_bot α] {a : α}
@[simp] theorem bot_inf_eq : ⊥ ⊓ a = ⊥ :=
inf_of_le_left bot_le
@[simp] theorem inf_bot_eq : a ⊓ ⊥ = ⊥ :=
inf_of_le_right bot_le
end semilattice_inf_bot
/-! ### Bounded order -/
/-- A bounded order describes an order `(≤)` with a top and bottom element,
denoted `⊤` and `⊥` respectively. -/
@[ancestor order_top order_bot]
class bounded_order (α : Type u) [has_le α] extends order_top α, order_bot α.
instance (α : Type u) [has_le α] [bounded_order α] : bounded_order αᵒᵈ :=
{ .. order_dual.order_top α, .. order_dual.order_bot α }
theorem bounded_order.ext {α} [partial_order α] {A B : bounded_order α} : A = B :=
begin
have ht : @bounded_order.to_order_top α _ A = @bounded_order.to_order_top α _ B := order_top.ext,
have hb : @bounded_order.to_order_bot α _ A = @bounded_order.to_order_bot α _ B := order_bot.ext,
casesI A,
casesI B,
injection ht with h,
injection hb with h',
convert rfl,
{ exact h.symm },
{ exact h'.symm }
end
section logic
/-!
#### In this section we prove some properties about monotone and antitone operations on `Prop`
-/
section preorder
variable [preorder α]
theorem monotone_and {p q : α → Prop} (m_p : monotone p) (m_q : monotone q) :
monotone (λ x, p x ∧ q x) :=
λ a b h, and.imp (m_p h) (m_q h)
-- Note: by finish [monotone] doesn't work
theorem monotone_or {p q : α → Prop} (m_p : monotone p) (m_q : monotone q) :
monotone (λ x, p x ∨ q x) :=
λ a b h, or.imp (m_p h) (m_q h)
lemma monotone_le {x : α}: monotone ((≤) x) :=
λ y z h' h, h.trans h'
lemma monotone_lt {x : α}: monotone ((<) x) :=
λ y z h' h, h.trans_le h'
lemma antitone_le {x : α}: antitone (≤ x) :=
λ y z h' h, h'.trans h
lemma antitone_lt {x : α}: antitone (< x) :=
λ y z h' h, h'.trans_lt h
lemma monotone.forall {P : β → α → Prop} (hP : ∀ x, monotone (P x)) :
monotone (λ y, ∀ x, P x y) :=
λ y y' hy h x, hP x hy $ h x
lemma antitone.forall {P : β → α → Prop} (hP : ∀ x, antitone (P x)) :
antitone (λ y, ∀ x, P x y) :=
λ y y' hy h x, hP x hy (h x)
lemma monotone.ball {P : β → α → Prop} {s : set β} (hP : ∀ x ∈ s, monotone (P x)) :
monotone (λ y, ∀ x ∈ s, P x y) :=
λ y y' hy h x hx, hP x hx hy (h x hx)
lemma antitone.ball {P : β → α → Prop} {s : set β} (hP : ∀ x ∈ s, antitone (P x)) :
antitone (λ y, ∀ x ∈ s, P x y) :=
λ y y' hy h x hx, hP x hx hy (h x hx)
end preorder
section semilattice_sup
variables [semilattice_sup α]
lemma exists_ge_and_iff_exists {P : α → Prop} {x₀ : α} (hP : monotone P) :
(∃ x, x₀ ≤ x ∧ P x) ↔ ∃ x, P x :=
⟨λ h, h.imp $ λ x h, h.2, λ ⟨x, hx⟩, ⟨x ⊔ x₀, le_sup_right, hP le_sup_left hx⟩⟩
end semilattice_sup
section semilattice_inf
variables [semilattice_inf α]
lemma exists_le_and_iff_exists {P : α → Prop} {x₀ : α} (hP : antitone P) :
(∃ x, x ≤ x₀ ∧ P x) ↔ ∃ x, P x :=
exists_ge_and_iff_exists hP.dual_left
end semilattice_inf
end logic
/-! ### Function lattices -/
namespace pi
variables {ι : Type*} {α' : ι → Type*}
instance [Π i, has_bot (α' i)] : has_bot (Π i, α' i) := ⟨λ i, ⊥⟩
@[simp] lemma bot_apply [Π i, has_bot (α' i)] (i : ι) : (⊥ : Π i, α' i) i = ⊥ := rfl
lemma bot_def [Π i, has_bot (α' i)] : (⊥ : Π i, α' i) = λ i, ⊥ := rfl
instance [Π i, has_top (α' i)] : has_top (Π i, α' i) := ⟨λ i, ⊤⟩
@[simp] lemma top_apply [Π i, has_top (α' i)] (i : ι) : (⊤ : Π i, α' i) i = ⊤ := rfl
lemma top_def [Π i, has_top (α' i)] : (⊤ : Π i, α' i) = λ i, ⊤ := rfl
instance [Π i, has_le (α' i)] [Π i, order_top (α' i)] : order_top (Π i, α' i) :=
{ le_top := λ _ _, le_top, ..pi.has_top }
instance [Π i, has_le (α' i)] [Π i, order_bot (α' i)] : order_bot (Π i, α' i) :=
{ bot_le := λ _ _, bot_le, ..pi.has_bot }
instance [Π i, has_le (α' i)] [Π i, bounded_order (α' i)] :
bounded_order (Π i, α' i) :=
{ ..pi.order_top, ..pi.order_bot }
end pi
section subsingleton
variables [partial_order α] [bounded_order α]
lemma eq_bot_of_bot_eq_top (hα : (⊥ : α) = ⊤) (x : α) :
x = (⊥ : α) :=
eq_bot_mono le_top (eq.symm hα)
lemma eq_top_of_bot_eq_top (hα : (⊥ : α) = ⊤) (x : α) :
x = (⊤ : α) :=
eq_top_mono bot_le hα
lemma subsingleton_of_top_le_bot (h : (⊤ : α) ≤ (⊥ : α)) :
subsingleton α :=
⟨λ a b, le_antisymm (le_trans le_top $ le_trans h bot_le) (le_trans le_top $ le_trans h bot_le)⟩
lemma subsingleton_of_bot_eq_top (hα : (⊥ : α) = (⊤ : α)) :
subsingleton α :=
subsingleton_of_top_le_bot (ge_of_eq hα)
lemma subsingleton_iff_bot_eq_top :
(⊥ : α) = (⊤ : α) ↔ subsingleton α :=
⟨subsingleton_of_bot_eq_top, λ h, by exactI subsingleton.elim ⊥ ⊤⟩
end subsingleton
section lift
/-- Pullback an `order_top`. -/
@[reducible] -- See note [reducible non-instances]
def order_top.lift [has_le α] [has_top α] [has_le β] [order_top β] (f : α → β)
(map_le : ∀ a b, f a ≤ f b → a ≤ b) (map_top : f ⊤ = ⊤) :
order_top α :=
⟨⊤, λ a, map_le _ _ $ by { rw map_top, exact le_top }⟩
/-- Pullback an `order_bot`. -/
@[reducible] -- See note [reducible non-instances]
def order_bot.lift [has_le α] [has_bot α] [has_le β] [order_bot β] (f : α → β)
(map_le : ∀ a b, f a ≤ f b → a ≤ b) (map_bot : f ⊥ = ⊥) :
order_bot α :=
⟨⊥, λ a, map_le _ _ $ by { rw map_bot, exact bot_le }⟩
/-- Pullback a `bounded_order`. -/
@[reducible] -- See note [reducible non-instances]
def bounded_order.lift [has_le α] [has_top α] [has_bot α] [has_le β] [bounded_order β] (f : α → β)
(map_le : ∀ a b, f a ≤ f b → a ≤ b) (map_top : f ⊤ = ⊤) (map_bot : f ⊥ = ⊥) :
bounded_order α :=
{ ..order_top.lift f map_le map_top, ..order_bot.lift f map_le map_bot }
end lift
/-! ### Subtype, order dual, product lattices -/
namespace subtype
variables {p : α → Prop}
/-- A subtype remains a `⊥`-order if the property holds at `⊥`. -/
@[reducible] -- See note [reducible non-instances]
protected def order_bot [has_le α] [order_bot α] (hbot : p ⊥) : order_bot {x : α // p x} :=
{ bot := ⟨⊥, hbot⟩,
bot_le := λ _, bot_le }
/-- A subtype remains a `⊤`-order if the property holds at `⊤`. -/
@[reducible] -- See note [reducible non-instances]
protected def order_top [has_le α] [order_top α] (htop : p ⊤) : order_top {x : α // p x} :=
{ top := ⟨⊤, htop⟩,
le_top := λ _, le_top }
/-- A subtype remains a bounded order if the property holds at `⊥` and `⊤`. -/
@[reducible] -- See note [reducible non-instances]
protected def bounded_order [has_le α] [bounded_order α] (hbot : p ⊥) (htop : p ⊤) :
bounded_order (subtype p) :=
{ ..subtype.order_top htop, ..subtype.order_bot hbot }
variables [partial_order α]
@[simp] lemma mk_bot [order_bot α] [order_bot (subtype p)] (hbot : p ⊥) : mk ⊥ hbot = ⊥ :=
le_bot_iff.1 $ coe_le_coe.1 bot_le
@[simp] lemma mk_top [order_top α] [order_top (subtype p)] (htop : p ⊤) : mk ⊤ htop = ⊤ :=
top_le_iff.1 $ coe_le_coe.1 le_top
lemma coe_bot [order_bot α] [order_bot (subtype p)] (hbot : p ⊥) : ((⊥ : subtype p) : α) = ⊥ :=
congr_arg coe (mk_bot hbot).symm
lemma coe_top [order_top α] [order_top (subtype p)] (htop : p ⊤) : ((⊤ : subtype p) : α) = ⊤ :=
congr_arg coe (mk_top htop).symm
@[simp] lemma coe_eq_bot_iff [order_bot α] [order_bot (subtype p)] (hbot : p ⊥) {x : {x // p x}} :
(x : α) = ⊥ ↔ x = ⊥ :=
by rw [←coe_bot hbot, ext_iff]
@[simp] lemma coe_eq_top_iff [order_top α] [order_top (subtype p)] (htop : p ⊤) {x : {x // p x}} :
(x : α) = ⊤ ↔ x = ⊤ :=
by rw [←coe_top htop, ext_iff]
@[simp] lemma mk_eq_bot_iff [order_bot α] [order_bot (subtype p)] (hbot : p ⊥) {x : α} (hx : p x) :
(⟨x, hx⟩ : subtype p) = ⊥ ↔ x = ⊥ :=
(coe_eq_bot_iff hbot).symm
@[simp] lemma mk_eq_top_iff [order_top α] [order_top (subtype p)] (htop : p ⊤) {x : α} (hx : p x) :
(⟨x, hx⟩ : subtype p) = ⊤ ↔ x = ⊤ :=
(coe_eq_top_iff htop).symm
end subtype
namespace prod
variables (α β)
instance [has_top α] [has_top β] : has_top (α × β) := ⟨⟨⊤, ⊤⟩⟩
instance [has_bot α] [has_bot β] : has_bot (α × β) := ⟨⟨⊥, ⊥⟩⟩
instance [has_le α] [has_le β] [order_top α] [order_top β] : order_top (α × β) :=
{ le_top := λ a, ⟨le_top, le_top⟩,
.. prod.has_top α β }
instance [has_le α] [has_le β] [order_bot α] [order_bot β] : order_bot (α × β) :=
{ bot_le := λ a, ⟨bot_le, bot_le⟩,
.. prod.has_bot α β }
instance [has_le α] [has_le β] [bounded_order α] [bounded_order β] : bounded_order (α × β) :=
{ .. prod.order_top α β, .. prod.order_bot α β }
end prod
section linear_order
variables [linear_order α]
-- `simp` can prove these, so they shouldn't be simp-lemmas.
lemma min_bot_left [order_bot α] (a : α) : min ⊥ a = ⊥ := bot_inf_eq
lemma max_top_left [order_top α] (a : α) : max ⊤ a = ⊤ := top_sup_eq
lemma min_top_left [order_top α] (a : α) : min ⊤ a = a := top_inf_eq
lemma max_bot_left [order_bot α] (a : α) : max ⊥ a = a := bot_sup_eq
lemma min_top_right [order_top α] (a : α) : min a ⊤ = a := inf_top_eq
lemma max_bot_right [order_bot α] (a : α) : max a ⊥ = a := sup_bot_eq
lemma min_bot_right [order_bot α] (a : α) : min a ⊥ = ⊥ := inf_bot_eq
lemma max_top_right [order_top α] (a : α) : max a ⊤ = ⊤ := sup_top_eq
@[simp] lemma min_eq_bot [order_bot α] {a b : α} : min a b = ⊥ ↔ a = ⊥ ∨ b = ⊥ :=
by simp only [←inf_eq_min, ←le_bot_iff, inf_le_iff]
@[simp] lemma max_eq_top [order_top α] {a b : α} : max a b = ⊤ ↔ a = ⊤ ∨ b = ⊤ :=
@min_eq_bot αᵒᵈ _ _ a b
@[simp] lemma max_eq_bot [order_bot α] {a b : α} : max a b = ⊥ ↔ a = ⊥ ∧ b = ⊥ := sup_eq_bot_iff
@[simp] lemma min_eq_top [order_top α] {a b : α} : min a b = ⊤ ↔ a = ⊤ ∧ b = ⊤ := inf_eq_top_iff
end linear_order
section nontrivial
variables [partial_order α] [bounded_order α] [nontrivial α]
@[simp] lemma bot_ne_top : (⊥ : α) ≠ ⊤ := λ h, not_subsingleton _ $ subsingleton_of_bot_eq_top h
@[simp] lemma top_ne_bot : (⊤ : α) ≠ ⊥ := bot_ne_top.symm
@[simp] lemma bot_lt_top : (⊥ : α) < ⊤ := lt_top_iff_ne_top.2 bot_ne_top
end nontrivial
section bool
open bool
instance : bounded_order bool :=
{ top := tt,
le_top := λ x, le_tt,
bot := ff,
bot_le := λ x, ff_le }
@[simp] lemma top_eq_tt : ⊤ = tt := rfl
@[simp] lemma bot_eq_ff : ⊥ = ff := rfl
end bool
|
1b56c00917dc5815d252dfbd0f2e29bf5f183123 | 4727251e0cd73359b15b664c3170e5d754078599 | /src/measure_theory/integral/divergence_theorem.lean | 03385590b4f6f342b019f00103bf0ea9282316c3 | [
"Apache-2.0"
] | permissive | Vierkantor/mathlib | 0ea59ac32a3a43c93c44d70f441c4ee810ccceca | 83bc3b9ce9b13910b57bda6b56222495ebd31c2f | refs/heads/master | 1,658,323,012,449 | 1,652,256,003,000 | 1,652,256,003,000 | 209,296,341 | 0 | 1 | Apache-2.0 | 1,568,807,655,000 | 1,568,807,655,000 | null | UTF-8 | Lean | false | false | 30,248 | lean | /-
Copyright (c) 2021 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov
-/
import analysis.box_integral.divergence_theorem
import analysis.box_integral.integrability
import measure_theory.integral.interval_integral
import data.set.intervals.monotone
/-!
# Divergence theorem for Bochner integral
In this file we prove the Divergence theorem for Bochner integral on a box in
`ℝⁿ⁺¹ = fin (n + 1) → ℝ`. More precisely, we prove the following theorem.
Let `E` be a complete normed space. If `f : ℝⁿ⁺¹ → Eⁿ⁺¹` is
continuous on a rectangular box `[a, b] : set ℝⁿ⁺¹`, `a ≤ b`, differentiable on its interior with
derivative `f' : ℝⁿ⁺¹ → ℝⁿ⁺¹ →L[ℝ] Eⁿ⁺¹`, and the divergence `λ x, ∑ i, f' x eᵢ i` is integrable on
`[a, b]`, where `eᵢ = pi.single i 1` is the `i`-th basis vector, then its integral is equal to the
sum of integrals of `f` over the faces of `[a, b]`, taken with appropriate signs. Moreover, the same
is true if the function is not differentiable at countably many points of the interior of `[a, b]`.
Once we prove the general theorem, we deduce corollaries for functions `ℝ → E` and pairs of
functions `(ℝ × ℝ) → E`.
## Notations
We use the following local notation to make the statement more readable. Note that the documentation
website shows the actual terms, not those abbreviated using local notations.
* `ℝⁿ`, `ℝⁿ⁺¹`, `Eⁿ⁺¹`: `fin n → ℝ`, `fin (n + 1) → ℝ`, `fin (n + 1) → E`;
* `face i`: the `i`-th face of the box `[a, b]` as a closed segment in `ℝⁿ`, namely `[a ∘
fin.succ_above i, b ∘ fin.succ_above i]`;
* `e i` : `i`-th basis vector `pi.single i 1`;
* `front_face i`, `back_face i`: embeddings `ℝⁿ → ℝⁿ⁺¹` corresponding to the front face
`{x | x i = b i}` and back face `{x | x i = a i}` of the box `[a, b]`, respectively.
They are given by `fin.insert_nth i (b i)` and `fin.insert_nth i (a i)`.
## TODO
* Add a version that assumes existence and integrability of partial derivatives.
## Tags
divergence theorem, Bochner integral
-/
open set finset topological_space function box_integral measure_theory filter
open_locale big_operators classical topological_space interval
universes u
namespace measure_theory
variables {E : Type u} [normed_group E] [normed_space ℝ E] [complete_space E]
section
variables {n : ℕ}
local notation `ℝⁿ` := fin n → ℝ
local notation `ℝⁿ⁺¹` := fin (n + 1) → ℝ
local notation `Eⁿ⁺¹` := fin (n + 1) → E
local notation `e` i := pi.single i 1
section
/-!
### Divergence theorem for functions on `ℝⁿ⁺¹ = fin (n + 1) → ℝ`.
In this section we use the divergence theorem for a Henstock-Kurzweil-like integral
`box_integral.has_integral_bot_divergence_of_forall_has_deriv_within_at` to prove the divergence
theorem for Bochner integral. The divergence theorem for Bochner integral
`measure_theory.integral_divergence_of_has_fderiv_within_at_off_countable` assumes that the function
itself is continuous on a closed box, differentiable at all but countably many points of its
interior, and the divergence is integrable on the box.
This statement differs from `box_integral.has_integral_bot_divergence_of_forall_has_deriv_within_at`
in several aspects.
* We use Bochner integral instead of a Henstock-Kurzweil integral. This modification is done in
`measure_theory.integral_divergence_of_has_fderiv_within_at_off_countable_aux₁`. As a side effect
of this change, we need to assume that the divergence is integrable.
* We don't assume differentiability on the boundary of the box. This modification is done in
`measure_theory.integral_divergence_of_has_fderiv_within_at_off_countable_aux₂`. To prove it, we
choose an increasing sequence of smaller boxes that cover the interior of the original box, then
apply the previous lemma to these smaller boxes and take the limit of both sides of the equation.
* We assume `a ≤ b` instead of `∀ i, a i < b i`. This is the last step of the proof, and it is done
in the main theorem `measure_theory.integral_divergence_of_has_fderiv_within_at_off_countable`.
-/
/-- An auxiliary lemma for
`measure_theory.integral_divergence_of_has_fderiv_within_at_off_countable`. This is exactly
`box_integral.has_integral_bot_divergence_of_forall_has_deriv_within_at` reformulated for the
Bochner integral. -/
lemma integral_divergence_of_has_fderiv_within_at_off_countable_aux₁ (I : box (fin (n + 1)))
(f : ℝⁿ⁺¹ → Eⁿ⁺¹) (f' : ℝⁿ⁺¹ → ℝⁿ⁺¹ →L[ℝ] Eⁿ⁺¹) (s : set ℝⁿ⁺¹) (hs : countable s)
(Hc : continuous_on f I.Icc) (Hd : ∀ x ∈ I.Icc \ s, has_fderiv_within_at f (f' x) I.Icc x)
(Hi : integrable_on (λ x, ∑ i, f' x (e i) i) I.Icc) :
∫ x in I.Icc, ∑ i, f' x (e i) i =
∑ i : fin (n + 1),
((∫ x in (I.face i).Icc, f (i.insert_nth (I.upper i) x) i) -
∫ x in (I.face i).Icc, f (i.insert_nth (I.lower i) x) i) :=
begin
simp only [← set_integral_congr_set_ae (box.coe_ae_eq_Icc _)],
have A := ((Hi.mono_set box.coe_subset_Icc).has_box_integral ⊥ rfl),
have B := has_integral_bot_divergence_of_forall_has_deriv_within_at I f f' (s ∩ I.Icc)
(hs.mono (inter_subset_left _ _)) (λ x hx, Hc _ hx.2)
(λ x hx, Hd _ ⟨hx.1, λ h, hx.2 ⟨h, hx.1⟩⟩),
rw continuous_on_pi at Hc,
refine (A.unique B).trans (sum_congr rfl $ λ i hi, _),
refine congr_arg2 has_sub.sub _ _,
{ have := box.continuous_on_face_Icc (Hc i) (set.right_mem_Icc.2 (I.lower_le_upper i)),
have := (this.integrable_on_compact (box.is_compact_Icc _)).mono_set box.coe_subset_Icc,
exact (this.has_box_integral ⊥ rfl).integral_eq, apply_instance },
{ have := box.continuous_on_face_Icc (Hc i) (set.left_mem_Icc.2 (I.lower_le_upper i)),
have := (this.integrable_on_compact (box.is_compact_Icc _)).mono_set box.coe_subset_Icc,
exact (this.has_box_integral ⊥ rfl).integral_eq, apply_instance }
end
/-- An auxiliary lemma for
`measure_theory.integral_divergence_of_has_fderiv_within_at_off_countable`. Compared to the previous
lemma, here we drop the assumption of differentiability on the boundary of the box. -/
lemma integral_divergence_of_has_fderiv_within_at_off_countable_aux₂ (I : box (fin (n + 1)))
(f : ℝⁿ⁺¹ → Eⁿ⁺¹) (f' : ℝⁿ⁺¹ → ℝⁿ⁺¹ →L[ℝ] Eⁿ⁺¹) (s : set ℝⁿ⁺¹) (hs : countable s)
(Hc : continuous_on f I.Icc) (Hd : ∀ x ∈ I.Ioo \ s, has_fderiv_at f (f' x) x)
(Hi : integrable_on (λ x, ∑ i, f' x (e i) i) I.Icc) :
∫ x in I.Icc, ∑ i, f' x (e i) i =
∑ i : fin (n + 1),
((∫ x in (I.face i).Icc, f (i.insert_nth (I.upper i) x) i) -
∫ x in (I.face i).Icc, f (i.insert_nth (I.lower i) x) i) :=
begin
/- Choose a monotone sequence `J k` of subboxes that cover the interior of `I` and prove that
these boxes satisfy the assumptions of the previous lemma. -/
rcases I.exists_seq_mono_tendsto with ⟨J, hJ_sub, hJl, hJu⟩,
have hJ_sub' : ∀ k, (J k).Icc ⊆ I.Icc, from λ k, (hJ_sub k).trans I.Ioo_subset_Icc,
have hJ_le : ∀ k, J k ≤ I, from λ k, box.le_iff_Icc.2 (hJ_sub' k),
have HcJ : ∀ k, continuous_on f (J k).Icc, from λ k, Hc.mono (hJ_sub' k),
have HdJ : ∀ k (x ∈ (J k).Icc \ s), has_fderiv_within_at f (f' x) (J k).Icc x,
from λ k x hx, (Hd x ⟨hJ_sub k hx.1, hx.2⟩).has_fderiv_within_at,
have HiJ : ∀ k, integrable_on (λ x, ∑ i, f' x (e i) i) (J k).Icc,
from λ k, Hi.mono_set (hJ_sub' k),
-- Apply the previous lemma to `J k`.
have HJ_eq := λ k, integral_divergence_of_has_fderiv_within_at_off_countable_aux₁ (J k) f f' s hs
(HcJ k) (HdJ k) (HiJ k),
/- Note that the LHS of `HJ_eq k` tends to the LHS of the goal as `k → ∞`. -/
have hI_tendsto : tendsto (λ k, ∫ x in (J k).Icc, ∑ i, f' x (e i) i) at_top
(𝓝 (∫ x in I.Icc, ∑ i, f' x (e i) i)),
{ simp only [integrable_on, ← measure.restrict_congr_set (box.Ioo_ae_eq_Icc _)] at Hi ⊢,
rw ← box.Union_Ioo_of_tendsto J.monotone hJl hJu at Hi ⊢,
exact tendsto_set_integral_of_monotone (λ k, (J k).measurable_set_Ioo)
(box.Ioo.comp J).monotone Hi },
/- Thus it suffices to prove the same about the RHS. -/
refine tendsto_nhds_unique_of_eventually_eq hI_tendsto _ (eventually_of_forall HJ_eq),
clear hI_tendsto,
rw tendsto_pi_nhds at hJl hJu,
/- We'll need to prove a similar statement about the integrals over the front sides and the
integrals over the back sides. In order to avoid repeating ourselves, we formulate a lemma. -/
suffices : ∀ (i : fin (n + 1)) (c : ℕ → ℝ) d,
(∀ k, c k ∈ Icc (I.lower i) (I.upper i)) → tendsto c at_top (𝓝 d) →
tendsto (λ k, ∫ x in ((J k).face i).Icc, f (i.insert_nth (c k) x) i) at_top
(𝓝 $ ∫ x in (I.face i).Icc, f (i.insert_nth d x) i),
{ rw box.Icc_eq_pi at hJ_sub',
refine tendsto_finset_sum _ (λ i hi, (this _ _ _ _ (hJu _)).sub (this _ _ _ _ (hJl _))),
exacts [λ k, hJ_sub' k (J k).upper_mem_Icc _ trivial,
λ k, hJ_sub' k (J k).lower_mem_Icc _ trivial] },
intros i c d hc hcd,
/- First we prove that the integrals of the restriction of `f` to `{x | x i = d}` over increasing
boxes `((J k).face i).Icc` tend to the desired limit. The proof mostly repeats the one above. -/
have hd : d ∈ Icc (I.lower i) (I.upper i),
from is_closed_Icc.mem_of_tendsto hcd (eventually_of_forall hc),
have Hic : ∀ k, integrable_on (λ x, f (i.insert_nth (c k) x) i) (I.face i).Icc,
from λ k, (box.continuous_on_face_Icc ((continuous_apply i).comp_continuous_on Hc)
(hc k)).integrable_on_Icc,
have Hid : integrable_on (λ x, f (i.insert_nth d x) i) (I.face i).Icc,
from (box.continuous_on_face_Icc ((continuous_apply i).comp_continuous_on Hc)
hd).integrable_on_Icc,
have H : tendsto (λ k, ∫ x in ((J k).face i).Icc, f (i.insert_nth d x) i) at_top
(𝓝 $ ∫ x in (I.face i).Icc, f (i.insert_nth d x) i),
{ have hIoo : (⋃ k, ((J k).face i).Ioo) = (I.face i).Ioo,
from box.Union_Ioo_of_tendsto ((box.monotone_face i).comp J.monotone)
(tendsto_pi_nhds.2 (λ _, hJl _)) (tendsto_pi_nhds.2 (λ _, hJu _)),
simp only [integrable_on, ← measure.restrict_congr_set (box.Ioo_ae_eq_Icc _), ← hIoo] at Hid ⊢,
exact tendsto_set_integral_of_monotone (λ k, ((J k).face i).measurable_set_Ioo)
(box.Ioo.monotone.comp ((box.monotone_face i).comp J.monotone)) Hid },
/- Thus it suffices to show that the distance between the integrals of the restrictions of `f` to
`{x | x i = c k}` and `{x | x i = d}` over `((J k).face i).Icc` tends to zero as `k → ∞`. Choose
`ε > 0`. -/
refine H.congr_dist (metric.nhds_basis_closed_ball.tendsto_right_iff.2 (λ ε εpos, _)),
have hvol_pos : ∀ J : box (fin n), 0 < ∏ j, (J.upper j - J.lower j),
from λ J, (prod_pos $ λ j hj, sub_pos.2 $ J.lower_lt_upper _),
/- Choose `δ > 0` such that for any `x y ∈ I.Icc` at distance at most `δ`, the distance between
`f x` and `f y` is at most `ε / volume (I.face i).Icc`, then the distance between the integrals
is at most `(ε / volume (I.face i).Icc) * volume ((J k).face i).Icc ≤ ε`. -/
rcases metric.uniform_continuous_on_iff_le.1
(I.is_compact_Icc.uniform_continuous_on_of_continuous Hc)
(ε / ∏ j, ((I.face i).upper j - (I.face i).lower j)) (div_pos εpos (hvol_pos (I.face i)))
with ⟨δ, δpos, hδ⟩,
refine (hcd.eventually (metric.ball_mem_nhds _ δpos)).mono (λ k hk, _),
have Hsub : ((J k).face i).Icc ⊆ (I.face i).Icc,
from box.le_iff_Icc.1 (box.face_mono (hJ_le _) i),
rw [mem_closed_ball_zero_iff, real.norm_eq_abs, abs_of_nonneg dist_nonneg,
dist_eq_norm, ← integral_sub (Hid.mono_set Hsub) ((Hic _).mono_set Hsub)],
calc ∥(∫ x in ((J k).face i).Icc, f (i.insert_nth d x) i - f (i.insert_nth (c k) x) i)∥
≤ (ε / ∏ j, ((I.face i).upper j - (I.face i).lower j)) * (volume ((J k).face i).Icc).to_real :
begin
refine norm_set_integral_le_of_norm_le_const' (((J k).face i).measure_Icc_lt_top _)
((J k).face i).measurable_set_Icc (λ x hx, _),
rw ← dist_eq_norm,
calc dist (f (i.insert_nth d x) i) (f (i.insert_nth (c k) x) i)
≤ dist (f (i.insert_nth d x)) (f (i.insert_nth (c k) x)) :
dist_le_pi_dist (f (i.insert_nth d x)) (f (i.insert_nth (c k) x)) i
... ≤ (ε / ∏ j, ((I.face i).upper j - (I.face i).lower j)) :
hδ _ (I.maps_to_insert_nth_face_Icc hd $ Hsub hx)
_ (I.maps_to_insert_nth_face_Icc (hc _) $ Hsub hx) _,
rw [fin.dist_insert_nth_insert_nth, dist_self, dist_comm],
exact max_le hk.le δpos.lt.le
end
... ≤ ε :
begin
rw [box.Icc_def, real.volume_Icc_pi_to_real ((J k).face i).lower_le_upper,
← le_div_iff (hvol_pos _)],
refine div_le_div_of_le_left εpos.le (hvol_pos _) (prod_le_prod (λ j hj, _) (λ j hj, _)),
exacts [sub_nonneg.2 (box.lower_le_upper _ _),
sub_le_sub ((hJ_sub' _ (J _).upper_mem_Icc).2 _) ((hJ_sub' _ (J _).lower_mem_Icc).1 _)]
end
end
variables (a b : ℝⁿ⁺¹)
local notation `face` i := set.Icc (a ∘ fin.succ_above i) (b ∘ fin.succ_above i)
local notation `front_face` i:2000 := fin.insert_nth i (b i)
local notation `back_face` i:2000 := fin.insert_nth i (a i)
/-- **Divergence theorem** for Bochner integral. If `f : ℝⁿ⁺¹ → Eⁿ⁺¹` is continuous on a rectangular
box `[a, b] : set ℝⁿ⁺¹`, `a ≤ b`, is differentiable on its interior with derivative
`f' : ℝⁿ⁺¹ → ℝⁿ⁺¹ →L[ℝ] Eⁿ⁺¹` and the divergence `λ x, ∑ i, f' x eᵢ i` is integrable on `[a, b]`,
where `eᵢ = pi.single i 1` is the `i`-th basis vector, then its integral is equal to the sum of
integrals of `f` over the faces of `[a, b]`, taken with appropriat signs.
Moreover, the same is true if the function is not differentiable at countably many
points of the interior of `[a, b]`.
We represent both faces `x i = a i` and `x i = b i` as the box
`face i = [a ∘ fin.succ_above i, b ∘ fin.succ_above i]` in `ℝⁿ`, where
`fin.succ_above : fin n ↪o fin (n + 1)` is the order embedding with range `{i}ᶜ`. The restrictions
of `f : ℝⁿ⁺¹ → Eⁿ⁺¹` to these faces are given by `f ∘ back_face i` and `f ∘ front_face i`, where
`back_face i = fin.insert_nth i (a i)` and `front_face i = fin.insert_nth i (b i)` are embeddings
`ℝⁿ → ℝⁿ⁺¹` that take `y : ℝⁿ` and insert `a i` (resp., `b i`) as `i`-th coordinate. -/
lemma integral_divergence_of_has_fderiv_within_at_off_countable (hle : a ≤ b) (f : ℝⁿ⁺¹ → Eⁿ⁺¹)
(f' : ℝⁿ⁺¹ → ℝⁿ⁺¹ →L[ℝ] Eⁿ⁺¹) (s : set ℝⁿ⁺¹) (hs : countable s) (Hc : continuous_on f (Icc a b))
(Hd : ∀ x ∈ set.pi univ (λ i, Ioo (a i) (b i)) \ s, has_fderiv_at f (f' x) x)
(Hi : integrable_on (λ x, ∑ i, f' x (e i) i) (Icc a b)) :
∫ x in Icc a b, ∑ i, f' x (e i) i =
∑ i : fin (n + 1),
((∫ x in face i, f (front_face i x) i) - ∫ x in face i, f (back_face i x) i) :=
begin
rcases em (∃ i, a i = b i) with ⟨i, hi⟩|hne,
{ /- First we sort out the trivial case `∃ i, a i = b i`. -/
simp only [volume_pi, ← set_integral_congr_set_ae measure.univ_pi_Ioc_ae_eq_Icc],
have hi' : Ioc (a i) (b i) = ∅ := Ioc_eq_empty hi.not_lt,
have : pi set.univ (λ j, Ioc (a j) (b j)) = ∅, from univ_pi_eq_empty hi',
rw [this, integral_empty, sum_eq_zero],
rintro j -,
rcases eq_or_ne i j with rfl|hne,
{ simp [hi] },
{ rcases fin.exists_succ_above_eq hne with ⟨i, rfl⟩,
have : pi set.univ (λ k : fin n, Ioc (a $ j.succ_above k) (b $ j.succ_above k)) = ∅,
from univ_pi_eq_empty hi',
rw [this, integral_empty, integral_empty, sub_self] } },
{ /- In the non-trivial case `∀ i, a i < b i`, we apply a lemma we proved above. -/
have hlt : ∀ i, a i < b i, from λ i, (hle i).lt_of_ne (λ hi, hne ⟨i, hi⟩),
convert integral_divergence_of_has_fderiv_within_at_off_countable_aux₂ ⟨a, b, hlt⟩
f f' s hs Hc Hd Hi }
end
/-- **Divergence theorem** for a family of functions `f : fin (n + 1) → ℝⁿ⁺¹ → E`. See also
`measure_theory.integral_divergence_of_has_fderiv_within_at_off_countable'` for a version formulated
in terms of a vector-valued function `f : ℝⁿ⁺¹ → Eⁿ⁺¹`. -/
lemma integral_divergence_of_has_fderiv_within_at_off_countable' (hle : a ≤ b)
(f : fin (n + 1) → ℝⁿ⁺¹ → E) (f' : fin (n + 1) → ℝⁿ⁺¹ → ℝⁿ⁺¹ →L[ℝ] E)
(s : set ℝⁿ⁺¹) (hs : countable s) (Hc : ∀ i, continuous_on (f i) (Icc a b))
(Hd : ∀ (x ∈ pi set.univ (λ i, Ioo (a i) (b i)) \ s) i, has_fderiv_at (f i) (f' i x) x)
(Hi : integrable_on (λ x, ∑ i, f' i x (e i)) (Icc a b)) :
∫ x in Icc a b, ∑ i, f' i x (e i) =
∑ i : fin (n + 1),
((∫ x in face i, f i (front_face i x)) - ∫ x in face i, f i (back_face i x)) :=
integral_divergence_of_has_fderiv_within_at_off_countable a b hle (λ x i, f i x)
(λ x, continuous_linear_map.pi (λ i, f' i x)) s hs
(continuous_on_pi.2 Hc) (λ x hx, has_fderiv_at_pi.2 (Hd x hx)) Hi
end
/-- An auxiliary lemma that is used to specialize the general divergence theorem to spaces that do
not have the form `fin n → ℝ`. -/
lemma integral_divergence_of_has_fderiv_within_at_off_countable_of_equiv
{F : Type*} [normed_group F] [normed_space ℝ F] [partial_order F] [measure_space F]
[borel_space F] (eL : F ≃L[ℝ] ℝⁿ⁺¹) (he_ord : ∀ x y, eL x ≤ eL y ↔ x ≤ y)
(he_vol : measure_preserving eL volume volume) (f : fin (n + 1) → F → E)
(f' : fin (n + 1) → F → F →L[ℝ] E) (s : set F) (hs : countable s)
(a b : F) (hle : a ≤ b) (Hc : ∀ i, continuous_on (f i) (Icc a b))
(Hd : ∀ (x ∈ interior (Icc a b) \ s) i, has_fderiv_at (f i) (f' i x) x)
(DF : F → E) (hDF : ∀ x, DF x = ∑ i, f' i x (eL.symm $ e i)) (Hi : integrable_on DF (Icc a b)) :
∫ x in Icc a b, DF x =
∑ i : fin (n + 1), ((∫ x in Icc (eL a ∘ i.succ_above) (eL b ∘ i.succ_above),
f i (eL.symm $ i.insert_nth (eL b i) x)) -
(∫ x in Icc (eL a ∘ i.succ_above) (eL b ∘ i.succ_above),
f i (eL.symm $ i.insert_nth (eL a i) x))) :=
have he_emb : measurable_embedding eL := eL.to_homeomorph.to_measurable_equiv.measurable_embedding,
have hIcc : eL ⁻¹' (Icc (eL a) (eL b)) = Icc a b,
by { ext1 x, simp only [set.mem_preimage, set.mem_Icc, he_ord] },
have hIcc' : Icc (eL a) (eL b) = eL.symm ⁻¹' (Icc a b),
by rw [← hIcc, eL.symm_preimage_preimage],
calc ∫ x in Icc a b, DF x = ∫ x in Icc a b, ∑ i, f' i x (eL.symm $ e i) : by simp only [hDF]
... = ∫ x in Icc (eL a) (eL b), ∑ i, f' i (eL.symm x) (eL.symm $ e i) :
begin
rw [← he_vol.set_integral_preimage_emb he_emb],
simp only [hIcc, eL.symm_apply_apply]
end
... = ∑ i : fin (n + 1), ((∫ x in Icc (eL a ∘ i.succ_above) (eL b ∘ i.succ_above),
f i (eL.symm $ i.insert_nth (eL b i) x)) -
(∫ x in Icc (eL a ∘ i.succ_above) (eL b ∘ i.succ_above),
f i (eL.symm $ i.insert_nth (eL a i) x))) :
begin
convert integral_divergence_of_has_fderiv_within_at_off_countable' (eL a) (eL b)
((he_ord _ _).2 hle) (λ i x, f i (eL.symm x))
(λ i x, f' i (eL.symm x) ∘L (eL.symm : ℝⁿ⁺¹ →L[ℝ] F))
(eL.symm ⁻¹' s) (hs.preimage eL.symm.injective) _ _ _,
{ exact λ i, (Hc i).comp eL.symm.continuous_on hIcc'.subset },
{ refine λ x hx i, (Hd (eL.symm x) ⟨_, hx.2⟩ i).comp x eL.symm.has_fderiv_at,
rw ← hIcc,
refine preimage_interior_subset_interior_preimage eL.continuous _,
simp only [set.mem_preimage, eL.apply_symm_apply, ← pi_univ_Icc,
interior_pi_set (finite.of_fintype _), interior_Icc],
exact hx.1 },
{ rw [← he_vol.integrable_on_comp_preimage he_emb, hIcc],
simp [← hDF, (∘), Hi] }
end
end
open_locale interval
open continuous_linear_map (smul_right)
local notation `ℝ¹` := fin 1 → ℝ
local notation `ℝ²` := fin 2 → ℝ
local notation `E¹` := fin 1 → E
local notation `E²` := fin 2 → E
/-- **Fundamental theorem of calculus, part 2**. This version assumes that `f` is continuous on the
interval and is differentiable off a countable set `s`.
See also
* `interval_integral.integral_eq_sub_of_has_deriv_right_of_le` for a version that only assumes right
differentiability of `f`;
* `measure_theory.integral_eq_of_has_deriv_within_at_off_countable` for a version that works both
for `a ≤ b` and `b ≤ a` at the expense of using unordered intervals instead of `set.Icc`. -/
theorem integral_eq_of_has_deriv_within_at_off_countable_of_le (f f' : ℝ → E)
{a b : ℝ} (hle : a ≤ b) {s : set ℝ} (hs : countable s)
(Hc : continuous_on f (Icc a b)) (Hd : ∀ x ∈ Ioo a b \ s, has_deriv_at f (f' x) x)
(Hi : interval_integrable f' volume a b) :
∫ x in a..b, f' x = f b - f a :=
begin
set e : ℝ ≃L[ℝ] ℝ¹ := (continuous_linear_equiv.fun_unique (fin 1) ℝ ℝ).symm,
have e_symm : ∀ x, e.symm x = x 0 := λ x, rfl,
set F' : ℝ → ℝ →L[ℝ] E := λ x, smul_right (1 : ℝ →L[ℝ] ℝ) (f' x),
have hF' : ∀ x y, F' x y = y • f' x := λ x y, rfl,
calc ∫ x in a..b, f' x = ∫ x in Icc a b, f' x :
by simp only [interval_integral.integral_of_le hle, set_integral_congr_set_ae Ioc_ae_eq_Icc]
... = ∑ i : fin 1, ((∫ x in Icc (e a ∘ i.succ_above) (e b ∘ i.succ_above),
f (e.symm $ i.insert_nth (e b i) x)) -
(∫ x in Icc (e a ∘ i.succ_above) (e b ∘ i.succ_above),
f (e.symm $ i.insert_nth (e a i) x))) :
begin
simp only [← interior_Icc] at Hd,
refine integral_divergence_of_has_fderiv_within_at_off_countable_of_equiv e _ _
(λ _, f) (λ _, F') s hs a b hle (λ i, Hc) (λ x hx i, Hd x hx) _ _ _,
{ exact λ x y, (order_iso.fun_unique (fin 1) ℝ).symm.le_iff_le },
{ exact (volume_preserving_fun_unique (fin 1) ℝ).symm _ },
{ intro x, rw [fin.sum_univ_one, hF', e_symm, pi.single_eq_same, one_smul] },
{ rw [interval_integrable_iff_integrable_Ioc_of_le hle] at Hi,
exact Hi.congr_set_ae Ioc_ae_eq_Icc.symm }
end
... = f b - f a :
begin
simp only [fin.sum_univ_one, e_symm],
have : ∀ (c : ℝ), const (fin 0) c = is_empty_elim := λ c, subsingleton.elim _ _,
simp [this, volume_pi, measure.pi_of_empty (λ _ : fin 0, volume)]
end
end
/-- **Fundamental theorem of calculus, part 2**. This version assumes that `f` is continuous on the
interval and is differentiable off a countable set `s`.
See also `measure_theory.interval_integral.integral_eq_sub_of_has_deriv_right` for a version that
only assumes right differentiability of `f`.
-/
theorem integral_eq_of_has_deriv_within_at_off_countable (f f' : ℝ → E) {a b : ℝ} {s : set ℝ}
(hs : countable s) (Hc : continuous_on f [a, b])
(Hd : ∀ x ∈ Ioo (min a b) (max a b) \ s, has_deriv_at f (f' x) x)
(Hi : interval_integrable f' volume a b) :
∫ x in a..b, f' x = f b - f a :=
begin
cases le_total a b with hab hab,
{ simp only [interval_of_le hab, min_eq_left hab, max_eq_right hab] at *,
exact integral_eq_of_has_deriv_within_at_off_countable_of_le f f' hab hs Hc Hd Hi },
{ simp only [interval_of_ge hab, min_eq_right hab, max_eq_left hab] at *,
rw [interval_integral.integral_symm, neg_eq_iff_neg_eq, neg_sub, eq_comm],
exact integral_eq_of_has_deriv_within_at_off_countable_of_le f f' hab hs Hc Hd Hi.symm }
end
/-- **Divergence theorem** for functions on the plane along rectangles. It is formulated in terms of
two functions `f g : ℝ × ℝ → E` and an integral over `Icc a b = [a.1, b.1] × [a.2, b.2]`, where
`a b : ℝ × ℝ`, `a ≤ b`. When thinking of `f` and `g` as the two coordinates of a single function
`F : ℝ × ℝ → E × E` and when `E = ℝ`, this is the usual statement that the integral of the
divergence of `F` inside the rectangle equals the integral of the normal derivative of `F` along the
boundary.
See also `measure_theory.integral2_divergence_prod_of_has_fderiv_within_at_off_countable` for a
version that does not assume `a ≤ b` and uses iterated interval integral instead of the integral
over `Icc a b`. -/
lemma integral_divergence_prod_Icc_of_has_fderiv_within_at_off_countable_of_le (f g : ℝ × ℝ → E)
(f' g' : ℝ × ℝ → ℝ × ℝ →L[ℝ] E) (a b : ℝ × ℝ) (hle : a ≤ b) (s : set (ℝ × ℝ)) (hs : countable s)
(Hcf : continuous_on f (Icc a b)) (Hcg : continuous_on g (Icc a b))
(Hdf : ∀ x ∈ Ioo a.1 b.1 ×ˢ Ioo a.2 b.2 \ s, has_fderiv_at f (f' x) x)
(Hdg : ∀ x ∈ Ioo a.1 b.1 ×ˢ Ioo a.2 b.2 \ s, has_fderiv_at g (g' x) x)
(Hi : integrable_on (λ x, f' x (1, 0) + g' x (0, 1)) (Icc a b)) :
∫ x in Icc a b, f' x (1, 0) + g' x (0, 1) =
(∫ x in a.1..b.1, g (x, b.2)) - (∫ x in a.1..b.1, g (x, a.2)) +
(∫ y in a.2..b.2, f (b.1, y)) - ∫ y in a.2..b.2, f (a.1, y) :=
let e : (ℝ × ℝ) ≃L[ℝ] ℝ² := (continuous_linear_equiv.fin_two_arrow ℝ ℝ).symm in
calc ∫ x in Icc a b, f' x (1, 0) + g' x (0, 1)
= ∑ i : fin 2, ((∫ x in Icc (e a ∘ i.succ_above) (e b ∘ i.succ_above),
![f, g] i (e.symm $ i.insert_nth (e b i) x)) -
(∫ x in Icc (e a ∘ i.succ_above) (e b ∘ i.succ_above),
![f, g] i (e.symm $ i.insert_nth (e a i) x))) :
begin
refine integral_divergence_of_has_fderiv_within_at_off_countable_of_equiv e _ _
![f, g] ![f', g'] s hs a b hle _ (λ x hx, _) _ _ Hi,
{ exact λ x y, (order_iso.fin_two_arrow_iso ℝ).symm.le_iff_le },
{ exact (volume_preserving_fin_two_arrow ℝ).symm _ },
{ exact fin.forall_fin_two.2 ⟨Hcf, Hcg⟩ },
{ rw [Icc_prod_eq, interior_prod_eq, interior_Icc, interior_Icc] at hx,
exact fin.forall_fin_two.2 ⟨Hdf x hx, Hdg x hx⟩ },
{ intro x, rw fin.sum_univ_two, simp }
end
... = (∫ y in Icc a.2 b.2, f (b.1, y)) - (∫ y in Icc a.2 b.2, f (a.1, y)) +
((∫ x in Icc a.1 b.1, g (x, b.2)) - ∫ x in Icc a.1 b.1, g (x, a.2)) :
begin
have : ∀ (a b : ℝ¹) (f : ℝ¹ → E), ∫ x in Icc a b, f x = ∫ x in Icc (a 0) (b 0), f (λ _, x),
{ intros a b f,
convert (((volume_preserving_fun_unique (fin 1) ℝ).symm _).set_integral_preimage_emb
(measurable_equiv.measurable_embedding _) _ _).symm,
exact ((order_iso.fun_unique (fin 1) ℝ).symm.preimage_Icc a b).symm },
simp only [fin.sum_univ_two, this],
refl
end
... = (∫ x in a.1..b.1, g (x, b.2)) - (∫ x in a.1..b.1, g (x, a.2)) +
(∫ y in a.2..b.2, f (b.1, y)) - ∫ y in a.2..b.2, f (a.1, y) :
begin
simp only [interval_integral.integral_of_le hle.1, interval_integral.integral_of_le hle.2,
set_integral_congr_set_ae Ioc_ae_eq_Icc],
abel
end
/-- **Divergence theorem** for functions on the plane. It is formulated in terms of two functions
`f g : ℝ × ℝ → E` and iterated integral `∫ x in a₁..b₁, ∫ y in a₂..b₂, _`, where
`a₁ a₂ b₁ b₂ : ℝ`. When thinking of `f` and `g` as the two coordinates of a single function
`F : ℝ × ℝ → E × E` and when `E = ℝ`, this is the usual statement that the integral of the
divergence of `F` inside the rectangle with vertices `(aᵢ, bⱼ)`, `i, j =1,2`, equals the integral of
the normal derivative of `F` along the boundary.
See also `measure_theory.integral_divergence_prod_Icc_of_has_fderiv_within_at_off_countable_of_le`
for a version that uses an integral over `Icc a b`, where `a b : ℝ × ℝ`, `a ≤ b`. -/
lemma integral2_divergence_prod_of_has_fderiv_within_at_off_countable (f g : ℝ × ℝ → E)
(f' g' : ℝ × ℝ → ℝ × ℝ →L[ℝ] E) (a₁ a₂ b₁ b₂ : ℝ) (s : set (ℝ × ℝ)) (hs : countable s)
(Hcf : continuous_on f ([a₁, b₁] ×ˢ [a₂, b₂])) (Hcg : continuous_on g ([a₁, b₁] ×ˢ [a₂, b₂]))
(Hdf : ∀ x ∈ Ioo (min a₁ b₁) (max a₁ b₁) ×ˢ Ioo (min a₂ b₂) (max a₂ b₂) \ s,
has_fderiv_at f (f' x) x)
(Hdg : ∀ x ∈ Ioo (min a₁ b₁) (max a₁ b₁) ×ˢ Ioo (min a₂ b₂) (max a₂ b₂) \ s,
has_fderiv_at g (g' x) x)
(Hi : integrable_on (λ x, f' x (1, 0) + g' x (0, 1)) ([a₁, b₁] ×ˢ [a₂, b₂])) :
∫ x in a₁..b₁, ∫ y in a₂..b₂, f' (x, y) (1, 0) + g' (x, y) (0, 1) =
(∫ x in a₁..b₁, g (x, b₂)) - (∫ x in a₁..b₁, g (x, a₂)) +
(∫ y in a₂..b₂, f (b₁, y)) - ∫ y in a₂..b₂, f (a₁, y) :=
begin
wlog h₁ : a₁ ≤ b₁ := le_total a₁ b₁ using [a₁ b₁, b₁ a₁] tactic.skip,
wlog h₂ : a₂ ≤ b₂ := le_total a₂ b₂ using [a₂ b₂, b₂ a₂] tactic.skip,
{ simp only [interval_of_le h₁, interval_of_le h₂, min_eq_left, max_eq_right, h₁, h₂]
at Hcf Hcg Hdf Hdg Hi,
calc ∫ x in a₁..b₁, ∫ y in a₂..b₂, f' (x, y) (1, 0) + g' (x, y) (0, 1)
= ∫ x in Icc a₁ b₁, ∫ y in Icc a₂ b₂, f' (x, y) (1, 0) + g' (x, y) (0, 1) :
by simp only [interval_integral.integral_of_le, h₁, h₂,
set_integral_congr_set_ae Ioc_ae_eq_Icc]
... = ∫ x in Icc a₁ b₁ ×ˢ Icc a₂ b₂, f' x (1, 0) + g' x (0, 1) :
(set_integral_prod _ Hi).symm
... = (∫ x in a₁..b₁, g (x, b₂)) - (∫ x in a₁..b₁, g (x, a₂)) +
(∫ y in a₂..b₂, f (b₁, y)) - ∫ y in a₂..b₂, f (a₁, y) :
begin
rw Icc_prod_Icc at *,
apply integral_divergence_prod_Icc_of_has_fderiv_within_at_off_countable_of_le f g f' g'
(a₁, a₂) (b₁, b₂) ⟨h₁, h₂⟩ s; assumption
end },
{ rw [interval_swap b₂ a₂, min_comm b₂ a₂, max_comm b₂ a₂] at this,
intros Hcf Hcg Hdf Hdg Hi,
simp only [interval_integral.integral_symm b₂ a₂, interval_integral.integral_neg],
refine (congr_arg has_neg.neg (this Hcf Hcg Hdf Hdg Hi)).trans _, abel },
{ rw [interval_swap b₁ a₁, min_comm b₁ a₁, max_comm b₁ a₁] at this,
intros Hcf Hcg Hdf Hdg Hi,
simp only [interval_integral.integral_symm b₁ a₁],
refine (congr_arg has_neg.neg (this Hcf Hcg Hdf Hdg Hi)).trans _, abel }
end
end measure_theory
|
3fc82c94c38142489b1c39eeb28c0e01e8c6fd9f | a9d0fb7b0e4f802bd3857b803e6c5c23d87fef91 | /tests/lean/run/test_perm_ac1.lean | f840a14eb3acf7ff53822e767b56e1966793c492 | [
"Apache-2.0"
] | permissive | soonhokong/lean-osx | 4a954262c780e404c1369d6c06516161d07fcb40 | 3670278342d2f4faa49d95b46d86642d7875b47c | refs/heads/master | 1,611,410,334,552 | 1,474,425,686,000 | 1,474,425,686,000 | 12,043,103 | 5 | 1 | null | null | null | null | UTF-8 | Lean | false | false | 1,653 | lean | exit
open expr decidable tactic nat
meta_definition is_poly_bin_app : expr → option name
| (app (app (app (app (const op ls) A) s) lhs) rhs) := some op
| _ := none
meta_definition is_add (e : expr) : bool :=
match (is_poly_bin_app e) with
| (some op) := to_bool (op = `add)
| none := ff
end
meta_definition perm_add (e1 e2 : expr) : tactic expr :=
do when (is_add e1 = ff) (fail "given expression is not an addition"),
add_fn : expr ← return $ app_fn (app_fn e1),
A : expr ← return $ app_arg (app_fn add_fn),
s1 : expr ← mk_app `add_semigroup [A] >>= mk_instance,
assoc : expr ← mk_mapp `add.assoc [some A, some s1],
s2 : expr ← mk_app `add_comm_semigroup [A] >>= mk_instance,
comm : expr ← mk_mapp `add.comm [some A, some s2],
perm_ac add_fn assoc comm e1 e2
meta_definition tst_perm : tactic unit :=
do trace "--------",
(lhs, rhs) ← target >>= match_eq,
H ← perm_add lhs rhs,
trace H,
exact H
set_option trace.tactic.perm_ac true
example (a b c d : nat) : d + b + c + a = a + b + c + d :=
by tst_perm
example (a b c d : nat) : a + b + c + d = d + c + b + a :=
by tst_perm
example (a b c d : nat) : ((b + a) + (d + c)) = (c + d) + (a + b) :=
by tst_perm
example (a b c d e f : nat) : (e + d) + (c + (b + (a + f))) = f + (b + (c + (d + (e + a)))) :=
by tst_perm
example (a b c d e f : nat) : (c + b + a) + (f + (e + d)) = a + b + c + d + e + f :=
by tst_perm
example (a b c d e f : nat) : a + (c + b) + (e + d) + f = f + (b + (c + (d + (e + a)))) :=
by tst_perm
example (a b c d e f : nat) : a + (d + b + c) + (f + e) = a + (b + (c + (d + (e + f)))) :=
by tst_perm
|
6c3760a71b79ca48c471058ebd33287d2f8e5f50 | b70447c014d9e71cf619ebc9f539b262c19c2e0b | /hott/homotopy/EM.hlean | 6d44bdfc06a8a133ace01b234af9f28b0bb7d5fd | [
"Apache-2.0"
] | permissive | ia0/lean2 | c20d8da69657f94b1d161f9590a4c635f8dc87f3 | d86284da630acb78fa5dc3b0b106153c50ffccd0 | refs/heads/master | 1,611,399,322,751 | 1,495,751,007,000 | 1,495,751,007,000 | 93,104,167 | 0 | 0 | null | 1,496,355,488,000 | 1,496,355,487,000 | null | UTF-8 | Lean | false | false | 18,508 | hlean | /-
Copyright (c) 2016 Floris van Doorn. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Floris van Doorn
Eilenberg MacLane spaces
-/
import hit.groupoid_quotient homotopy.hopf homotopy.freudenthal homotopy.homotopy_group
open algebra pointed nat eq category group is_trunc iso unit trunc equiv is_conn function is_equiv
trunc_index
namespace EM
open groupoid_quotient
variables {G : Group}
definition EM1' (G : Group) : Type :=
groupoid_quotient (Groupoid_of_Group G)
definition EM1 [constructor] (G : Group) : Type* :=
pointed.MK (EM1' G) (elt star)
definition base : EM1' G := elt star
definition pth : G → base = base := pth
definition resp_mul (g h : G) : pth (g * h) = pth g ⬝ pth h := resp_comp h g
definition resp_one : pth (1 : G) = idp :=
resp_id star
definition resp_inv (g : G) : pth (g⁻¹) = (pth g)⁻¹ :=
resp_inv g
local attribute pointed.MK pointed.carrier EM1 EM1' [reducible]
protected definition rec {P : EM1' G → Type} [H : Π(x : EM1' G), is_trunc 1 (P x)]
(Pb : P base) (Pp : Π(g : G), Pb =[pth g] Pb)
(Pmul : Π(g h : G), change_path (resp_mul g h) (Pp (g * h)) = Pp g ⬝o Pp h) (x : EM1' G) :
P x :=
begin
induction x,
{ induction g, exact Pb},
{ induction a, induction b, exact Pp f},
{ induction a, induction b, induction c, exact Pmul f g}
end
protected definition rec_on {P : EM1' G → Type} [H : Π(x : EM1' G), is_trunc 1 (P x)]
(x : EM1' G) (Pb : P base) (Pp : Π(g : G), Pb =[pth g] Pb)
(Pmul : Π(g h : G), change_path (resp_mul g h) (Pp (g * h)) = Pp g ⬝o Pp h) : P x :=
EM.rec Pb Pp Pmul x
protected definition set_rec {P : EM1' G → Type} [H : Π(x : EM1' G), is_set (P x)]
(Pb : P base) (Pp : Π(g : G), Pb =[pth g] Pb) (x : EM1' G) : P x :=
EM.rec Pb Pp !center x
protected definition prop_rec {P : EM1' G → Type} [H : Π(x : EM1' G), is_prop (P x)]
(Pb : P base) (x : EM1' G) : P x :=
EM.rec Pb !center !center x
definition rec_pth {P : EM1' G → Type} [H : Π(x : EM1' G), is_trunc 1 (P x)]
{Pb : P base} {Pp : Π(g : G), Pb =[pth g] Pb}
(Pmul : Π(g h : G), change_path (resp_mul g h) (Pp (g * h)) = Pp g ⬝o Pp h)
(g : G) : apd (EM.rec Pb Pp Pmul) (pth g) = Pp g :=
proof !rec_pth qed
protected definition elim {P : Type} [is_trunc 1 P] (Pb : P) (Pp : Π(g : G), Pb = Pb)
(Pmul : Π(g h : G), Pp (g * h) = Pp g ⬝ Pp h) (x : EM1' G) : P :=
begin
induction x,
{ exact Pb},
{ exact Pp f},
{ exact Pmul f g}
end
protected definition elim_on [reducible] {P : Type} [is_trunc 1 P] (x : EM1' G)
(Pb : P) (Pp : G → Pb = Pb) (Pmul : Π(g h : G), Pp (g * h) = Pp g ⬝ Pp h) : P :=
EM.elim Pb Pp Pmul x
protected definition set_elim [reducible] {P : Type} [is_set P] (Pb : P) (Pp : G → Pb = Pb)
(x : EM1' G) : P :=
EM.elim Pb Pp !center x
protected definition prop_elim [reducible] {P : Type} [is_prop P] (Pb : P) (x : EM1' G) : P :=
EM.elim Pb !center !center x
definition elim_pth {P : Type} [is_trunc 1 P] {Pb : P} {Pp : G → Pb = Pb}
(Pmul : Π(g h : G), Pp (g * h) = Pp g ⬝ Pp h) (g : G) : ap (EM.elim Pb Pp Pmul) (pth g) = Pp g :=
proof !elim_pth qed
protected definition elim_set.{u} (Pb : Set.{u}) (Pp : Π(g : G), Pb ≃ Pb)
(Pmul : Π(g h : G) (x : Pb), Pp (g * h) x = Pp h (Pp g x)) (x : EM1' G) : Set.{u} :=
groupoid_quotient.elim_set (λu, Pb) (λu v, Pp) (λu v w g h, proof Pmul h g qed) x
theorem elim_set_pth {Pb : Set} {Pp : Π(g : G), Pb ≃ Pb}
(Pmul : Π(g h : G) (x : Pb), Pp (g * h) x = Pp h (Pp g x)) (g : G) :
transport (EM.elim_set Pb Pp Pmul) (pth g) = Pp g :=
!elim_set_pth
end EM
attribute EM.base [constructor]
attribute EM.rec EM.elim [unfold 7] [recursor 7]
attribute EM.rec_on EM.elim_on [unfold 4]
attribute EM.set_rec EM.set_elim [unfold 6]
attribute EM.prop_rec EM.prop_elim EM.elim_set [unfold 5]
namespace EM
open groupoid_quotient
variables (G : Group)
definition base_eq_base_equiv : (base = base :> EM1 G) ≃ G :=
!elt_eq_elt_equiv
definition fundamental_group_EM1 : π₁ (EM1 G) ≃g G :=
begin
fapply isomorphism_of_equiv,
{ exact trunc_equiv_trunc 0 !base_eq_base_equiv ⬝e trunc_equiv 0 G},
{ intros g h, induction g with p, induction h with q,
exact encode_con p q}
end
proposition is_trunc_EM1 [instance] : is_trunc 1 (EM1 G) :=
!is_trunc_groupoid_quotient
proposition is_trunc_EM1' [instance] : is_trunc 1 (EM1' G) :=
!is_trunc_groupoid_quotient
proposition is_conn_EM1' [instance] : is_conn 0 (EM1' G) :=
by apply @is_conn_groupoid_quotient; esimp; exact _
proposition is_conn_EM1 [instance] : is_conn 0 (EM1 G) :=
is_conn_EM1' G
variable {G}
definition EM1_map [unfold 7] {X : Type*} (e : G → Ω X)
(r : Πg h, e (g * h) = e g ⬝ e h) [is_conn 0 X] [is_trunc 1 X] : EM1 G → X :=
begin
intro x, induction x using EM.elim,
{ exact Point X },
{ exact e g },
{ exact r g h }
end
/- Uniqueness of K(G, 1) -/
definition EM1_pmap [constructor] {X : Type*} (e : G → Ω X)
(r : Πg h, e (g * h) = e g ⬝ e h) [is_conn 0 X] [is_trunc 1 X] : EM1 G →* X :=
pmap.mk (EM1_map e r) idp
variable (G)
definition loop_EM1 [constructor] : G ≃* Ω (EM1 G) :=
(pequiv_of_equiv (base_eq_base_equiv G) idp)⁻¹ᵉ*
variable {G}
definition loop_EM1_pmap {X : Type*} (e : G →* Ω X)
(r : Πg h, e (g * h) = e g ⬝ e h) [is_conn 0 X] [is_trunc 1 X] :
Ω→(EM1_pmap e r) ∘* loop_EM1 G ~* e :=
begin
fapply phomotopy.mk,
{ intro g, refine !idp_con ⬝ elim_pth r g },
{ apply is_set.elim }
end
definition EM1_pequiv'.{u} {G : Group.{u}} {X : pType.{u}} (e : G ≃* Ω X)
(r : Πg h, e (g * h) = e g ⬝ e h) [is_conn 0 X] [is_trunc 1 X] : EM1 G ≃* X :=
begin
apply pequiv_of_pmap (EM1_pmap e r),
apply whitehead_principle_pointed 1,
intro k, cases k with k,
{ apply @is_equiv_of_is_contr,
all_goals (esimp; exact _)},
{ cases k with k,
{ apply is_equiv_trunc_functor, esimp,
apply is_equiv.homotopy_closed, rotate 1,
{ symmetry, exact phomotopy_pinv_right_of_phomotopy (loop_EM1_pmap _ _) },
apply is_equiv_compose e },
{ apply @is_equiv_of_is_contr,
do 2 exact trivial_homotopy_group_of_is_trunc _ (succ_lt_succ !zero_lt_succ)}}
end
definition EM1_pequiv.{u} {G : Group.{u}} {X : pType.{u}} (e : G ≃g π₁ X)
[is_conn 0 X] [is_trunc 1 X] : EM1 G ≃* X :=
begin
apply EM1_pequiv' (pequiv_of_isomorphism e ⬝e* ptrunc_pequiv 0 (Ω X)),
refine is_equiv.preserve_binary_of_inv_preserve _ mul concat _,
intro p q,
exact to_respect_mul e⁻¹ᵍ (tr p) (tr q)
end
definition EM1_pequiv_type (X : Type*) [is_conn 0 X] [is_trunc 1 X] : EM1 (π₁ X) ≃* X :=
EM1_pequiv !isomorphism.refl
end EM
open hopf susp
namespace EM
/- EM1 G is an h-space if G is an abelian group. This allows us to construct K(G,n) for n ≥ 2 -/
variables {G : AbGroup} (n : ℕ)
definition EM1_mul [unfold 2 3] (x x' : EM1' G) : EM1' G :=
begin
induction x,
{ exact x'},
{ induction x' using EM.set_rec,
{ exact pth g},
{ exact abstract begin apply loop_pathover, apply square_of_eq,
refine !resp_mul⁻¹ ⬝ _ ⬝ !resp_mul,
exact ap pth !mul.comm end end}},
{ refine EM.prop_rec _ x', apply resp_mul }
end
variable (G)
definition EM1_mul_one (x : EM1' G) : EM1_mul x base = x :=
begin
induction x using EM.set_rec,
{ reflexivity},
{ apply eq_pathover_id_right, apply hdeg_square, refine EM.elim_pth _ g}
end
definition h_space_EM1 [constructor] [instance] : h_space (EM1' G) :=
begin
fapply h_space.mk,
{ exact EM1_mul},
{ exact base},
{ intro x', reflexivity},
{ apply EM1_mul_one}
end
/- K(G, n+1) -/
definition EMadd1 : ℕ → Type*
| 0 := EM1 G
| (n+1) := ptrunc (n+2) (psusp (EMadd1 n))
definition EMadd1_succ [unfold_full] (n : ℕ) :
EMadd1 G (succ n) = ptrunc (n.+2) (psusp (EMadd1 G n)) :=
idp
definition loop_EM2 : Ω[1] (EMadd1 G 1) ≃* EM1 G :=
hopf.delooping (EM1' G) idp
definition is_conn_EMadd1 [instance] (n : ℕ) : is_conn n (EMadd1 G n) :=
begin
induction n with n IH,
{ apply is_conn_EM1 },
{ rewrite EMadd1_succ, esimp, exact _ }
end
definition is_trunc_EMadd1 [instance] (n : ℕ) : is_trunc (n+1) (EMadd1 G n) :=
begin
cases n with n,
{ apply is_trunc_EM1 },
{ apply is_trunc_trunc }
end
/- loops of an EM-space -/
definition loop_EMadd1 (n : ℕ) : EMadd1 G n ≃* Ω (EMadd1 G (succ n)) :=
begin
cases n with n,
{ exact !loop_EM2⁻¹ᵉ* },
{ rewrite [EMadd1_succ G (succ n)],
refine (ptrunc_pequiv (succ n + 1) _)⁻¹ᵉ* ⬝e* _ ⬝e* (loop_ptrunc_pequiv _ _)⁻¹ᵉ*,
have succ n + 1 ≤ 2 * succ n, from add_mul_le_mul_add n 1 1,
refine freudenthal_pequiv _ this }
end
definition loopn_EMadd1_pequiv_EM1 (G : AbGroup) (n : ℕ) : EM1 G ≃* Ω[n] (EMadd1 G n) :=
begin
induction n with n e,
{ reflexivity },
{ refine _ ⬝e* !loopn_succ_in⁻¹ᵉ*,
refine _ ⬝e* loopn_pequiv_loopn n !loop_EMadd1,
exact e }
end
-- use loopn_EMadd1_pequiv_EM1 in this definition?
definition loopn_EMadd1 (G : AbGroup) (n : ℕ) : G ≃* Ω[succ n] (EMadd1 G n) :=
begin
induction n with n e,
{ apply loop_EM1 },
{ refine _ ⬝e* !loopn_succ_in⁻¹ᵉ*,
refine _ ⬝e* loopn_pequiv_loopn (succ n) !loop_EMadd1,
exact e }
end
definition loopn_EMadd1_succ [unfold_full] (G : AbGroup) (n : ℕ) : loopn_EMadd1 G (succ n) ~*
!loopn_succ_in⁻¹ᵉ* ∘* apn (succ n) !loop_EMadd1 ∘* loopn_EMadd1 G n :=
by reflexivity
definition EM_up {G : AbGroup} {X : Type*} {n : ℕ} (e : Ω[succ (succ n)] X ≃* G)
: Ω[succ n] (Ω X) ≃* G :=
!loopn_succ_in⁻¹ᵉ* ⬝e* e
definition is_homomorphism_EM_up {G : AbGroup} {X : Type*} {n : ℕ}
(e : Ω[succ (succ n)] X ≃* G)
(r : Π(p q : Ω[succ (succ n)] X), e (p ⬝ q) = e p * e q)
(p q : Ω[succ n] (Ω X)) : EM_up e (p ⬝ q) = EM_up e p * EM_up e q :=
begin
refine _ ⬝ !r, apply ap e, esimp, apply apn_con
end
definition EMadd1_pmap [unfold 8] {G : AbGroup} {X : Type*} (n : ℕ)
(e : Ω[succ n] X ≃* G)
(r : Πp q, e (p ⬝ q) = e p * e q)
[H1 : is_conn n X] [H2 : is_trunc (n.+1) X] : EMadd1 G n →* X :=
begin
revert X e r H1 H2, induction n with n f: intro X e r H1 H2,
{ exact EM1_pmap e⁻¹ᵉ* (equiv.inv_preserve_binary e concat mul r) },
rewrite [EMadd1_succ],
exact ptrunc.elim ((succ n).+1)
(psusp.elim (f _ (EM_up e) (is_homomorphism_EM_up e r) _ _)),
end
definition EMadd1_pmap_succ {G : AbGroup} {X : Type*} (n : ℕ) (e : Ω[succ (succ n)] X ≃* G)
r [H1 : is_conn (succ n) X] [H2 : is_trunc ((succ n).+1) X] : EMadd1_pmap (succ n) e r =
ptrunc.elim ((succ n).+1) (psusp.elim (EMadd1_pmap n (EM_up e) (is_homomorphism_EM_up e r))) :=
by reflexivity
definition loop_EMadd1_pmap {G : AbGroup} {X : Type*} {n : ℕ} (e : Ω[succ (succ n)] X ≃* G)
(r : Πp q, e (p ⬝ q) = e p * e q)
[H1 : is_conn (succ n) X] [H2 : is_trunc ((succ n).+1) X] :
Ω→(EMadd1_pmap (succ n) e r) ∘* loop_EMadd1 G n ~*
EMadd1_pmap n (EM_up e) (is_homomorphism_EM_up e r) :=
begin
cases n with n,
{ apply hopf_delooping_elim },
{ refine !passoc⁻¹* ⬝* _,
rewrite [EMadd1_pmap_succ (succ n)],
refine pwhisker_right _ !ap1_ptrunc_elim ⬝* _,
refine !passoc⁻¹* ⬝* _,
refine pwhisker_right _ (ptrunc_elim_freudenthal_pequiv
(succ n) (succ (succ n)) (add_mul_le_mul_add n 1 1) _) ⬝* _,
reflexivity }
end
definition loopn_EMadd1_pmap' {G : AbGroup} {X : Type*} {n : ℕ} (e : Ω[succ n] X ≃* G)
(r : Πp q, e (p ⬝ q) = e p * e q)
[H1 : is_conn n X] [H2 : is_trunc (n.+1) X] :
Ω→[succ n](EMadd1_pmap n e r) ∘* loopn_EMadd1 G n ~* e⁻¹ᵉ* :=
begin
revert X e r H1 H2, induction n with n IH: intro X e r H1 H2,
{ apply loop_EM1_pmap },
refine pwhisker_left _ !loopn_EMadd1_succ ⬝* _,
refine !passoc⁻¹* ⬝* _,
refine pwhisker_right _ !loopn_succ_in_inv_natural ⬝* _,
refine !passoc ⬝* _,
refine pwhisker_left _ (!passoc⁻¹* ⬝*
pwhisker_right _ (!apn_pcompose⁻¹* ⬝* apn_phomotopy _ !loop_EMadd1_pmap) ⬝*
!IH ⬝* !pinv_trans_pinv_left) ⬝* _,
apply pinv_pcompose_cancel_left
end
definition EMadd1_pequiv' {G : AbGroup} {X : Type*} (n : ℕ) (e : Ω[succ n] X ≃* G)
(r : Π(p q : Ω[succ n] X), e (p ⬝ q) = e p * e q)
[H1 : is_conn n X] [H2 : is_trunc (n.+1) X] : EMadd1 G n ≃* X :=
begin
apply pequiv_of_pmap (EMadd1_pmap n e r),
have is_conn 0 (EMadd1 G n), from is_conn_of_le _ (zero_le_of_nat n),
have is_trunc (n.+1) (EMadd1 G n), from !is_trunc_EMadd1,
refine whitehead_principle_pointed (n.+1) _ _,
intro k, apply @nat.lt_by_cases k (succ n): intro H,
{ apply @is_equiv_of_is_contr,
do 2 exact trivial_homotopy_group_of_is_conn _ (le_of_lt_succ H)},
{ cases H, esimp, apply is_equiv_trunc_functor, esimp,
apply is_equiv.homotopy_closed, rotate 1,
{ symmetry, exact phomotopy_pinv_right_of_phomotopy (loopn_EMadd1_pmap' _ _) },
apply is_equiv_compose (e⁻¹ᵉ*)},
{ apply @is_equiv_of_is_contr,
do 2 exact trivial_homotopy_group_of_is_trunc _ H}
end
definition EMadd1_pequiv {G : AbGroup} {X : Type*} (n : ℕ) (e : πg[n+1] X ≃g G)
[H1 : is_conn n X] [H2 : is_trunc (n.+1) X] : EMadd1 G n ≃* X :=
begin
have is_set (Ω[succ n] X), from !is_set_loopn,
apply EMadd1_pequiv' n ((ptrunc_pequiv _ _)⁻¹ᵉ* ⬝e* pequiv_of_isomorphism e),
intro p q, esimp, exact to_respect_mul e (tr p) (tr q)
end
definition EMadd1_pequiv_succ {G : AbGroup} {X : Type*} (n : ℕ) (e : πag[n+2] X ≃g G)
[H1 : is_conn (n.+1) X] [H2 : is_trunc (n.+2) X] : EMadd1 G (succ n) ≃* X :=
EMadd1_pequiv (succ n) e
definition ghomotopy_group_EMadd1 (n : ℕ) : πg[n+1] (EMadd1 G n) ≃g G :=
begin
change π₁ (Ω[n] (EMadd1 G n)) ≃g G,
refine homotopy_group_isomorphism_of_pequiv 0 (loopn_EMadd1_pequiv_EM1 G n)⁻¹ᵉ* ⬝g _,
apply fundamental_group_EM1,
end
definition EMadd1_pequiv_type (X : Type*) (n : ℕ) [is_conn (n+1) X] [is_trunc (n+1+1) X]
: EMadd1 (πag[n+2] X) (succ n) ≃* X :=
EMadd1_pequiv_succ n !isomorphism.refl
/- K(G, n) -/
definition EM (G : AbGroup) : ℕ → Type*
| 0 := G
| (k+1) := EMadd1 G k
namespace ops
abbreviation K := @EM
end ops
open ops
definition homotopy_group_EM (n : ℕ) : π[n] (EM G n) ≃* G :=
begin
cases n with n,
{ rexact ptrunc_pequiv 0 G },
{ exact pequiv_of_isomorphism (ghomotopy_group_EMadd1 G n)}
end
definition ghomotopy_group_EM (n : ℕ) : πg[n+1] (EM G (n+1)) ≃g G :=
ghomotopy_group_EMadd1 G n
definition is_conn_EM [instance] (n : ℕ) : is_conn (n.-1) (EM G n) :=
begin
cases n with n,
{ apply is_conn_minus_one, apply tr, unfold [EM], exact 1},
{ apply is_conn_EMadd1}
end
definition is_conn_EM_succ [instance] (n : ℕ) : is_conn n (EM G (succ n)) :=
is_conn_EM G (succ n)
definition is_trunc_EM [instance] (n : ℕ) : is_trunc n (EM G n) :=
begin
cases n with n,
{ unfold [EM], apply semigroup.is_set_carrier},
{ apply is_trunc_EMadd1}
end
definition loop_EM (n : ℕ) : Ω (K G (succ n)) ≃* K G n :=
begin
cases n with n,
{ refine _ ⬝e* pequiv_of_isomorphism (fundamental_group_EM1 G),
symmetry, apply ptrunc_pequiv },
{ exact !loop_EMadd1⁻¹ᵉ* }
end
open circle int
definition EM_pequiv_circle : K agℤ 1 ≃* S¹* :=
EM1_pequiv fundamental_group_of_circle⁻¹ᵍ
/- Functorial action of Eilenberg-Maclane spaces -/
definition EM1_functor [constructor] {G H : Group} (φ : G →g H) : EM1 G →* EM1 H :=
begin
fconstructor,
{ intro g, induction g,
{ exact base },
{ exact pth (φ g) },
{ exact ap pth (to_respect_mul φ g h) ⬝ resp_mul (φ g) (φ h) }},
{ reflexivity }
end
definition EMadd1_functor [constructor] {G H : AbGroup} (φ : G →g H) (n : ℕ) :
EMadd1 G n →* EMadd1 H n :=
begin
induction n with n ψ,
{ exact EM1_functor φ },
{ apply ptrunc_functor, apply psusp_functor, exact ψ }
end
definition EM_functor [unfold 4] {G H : AbGroup} (φ : G →g H) (n : ℕ) :
K G n →* K H n :=
begin
cases n with n,
{ exact pmap_of_homomorphism φ },
{ exact EMadd1_functor φ n }
end
/- Equivalence of Groups and pointed connected 1-truncated types -/
definition ptruncconntype10_pequiv (X Y : 1-Type*[0]) (e : π₁ X ≃g π₁ Y) : X ≃* Y :=
(EM1_pequiv !isomorphism.refl)⁻¹ᵉ* ⬝e* EM1_pequiv e
definition EM1_pequiv_ptruncconntype10 (X : 1-Type*[0]) : EM1 (π₁ X) ≃* X :=
EM1_pequiv_type X
definition Group_equiv_ptruncconntype10 [constructor] : Group ≃ 1-Type*[0] :=
equiv.MK (λG, ptruncconntype.mk (EM1 G) _ pt !is_conn_EM1)
(λX, π₁ X)
begin intro X, apply ptruncconntype_eq, esimp, exact EM1_pequiv_type X end
begin intro G, apply eq_of_isomorphism, apply fundamental_group_EM1 end
/- Equivalence of AbGroups and pointed n-connected (n+1)-truncated types (n ≥ 1) -/
open trunc_index
definition ptruncconntype_pequiv : Π(n : ℕ) (X Y : (n.+1)-Type*[n])
(e : πg[n+1] X ≃g πg[n+1] Y), X ≃* Y
| 0 X Y e := ptruncconntype10_pequiv X Y e
| (succ n) X Y e :=
begin
refine (EMadd1_pequiv_succ n _)⁻¹ᵉ* ⬝e* EMadd1_pequiv_succ n !isomorphism.refl,
exact e
end
definition EM1_pequiv_ptruncconntype (n : ℕ) (X : (n+1+1)-Type*[n+1]) :
EMadd1 (πag[n+2] X) (succ n) ≃* X :=
EMadd1_pequiv_type X n
definition AbGroup_equiv_ptruncconntype' [constructor] (n : ℕ) :
AbGroup ≃ (n + 1 + 1)-Type*[n+1] :=
equiv.MK
(λG, ptruncconntype.mk (EMadd1 G (n+1)) _ pt _)
(λX, πag[n+2] X)
begin intro X, apply ptruncconntype_eq, apply EMadd1_pequiv_type end
begin intro G, apply AbGroup_eq_of_isomorphism, exact ghomotopy_group_EMadd1 G (n+1) end
definition AbGroup_equiv_ptruncconntype [constructor] (n : ℕ) :
AbGroup ≃ (n.+2)-Type*[n.+1] :=
AbGroup_equiv_ptruncconntype' n
end EM
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