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a3453061eed2d38869350ff0fd4fb7349dfe3d03 | 54d7e71c3616d331b2ec3845d31deb08f3ff1dea | /tests/lean/run/quote_bas.lean | ccef44518dfc0fa93e6ff57fd96a6c0f83bfd3e6 | [
"Apache-2.0"
] | permissive | pachugupta/lean | 6f3305c4292288311cc4ab4550060b17d49ffb1d | 0d02136a09ac4cf27b5c88361750e38e1f485a1a | refs/heads/master | 1,611,110,653,606 | 1,493,130,117,000 | 1,493,167,649,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 2,530 | lean | universes u v w
namespace quote_bas
inductive Expr (V : Type u)
| One {} : Expr
| Var (v : V) : Expr
| Mult (a b : Expr) : Expr
@[reducible] def Value := nat
def Env (V : Type u) := V → Value
open Expr
def evalExpr {V} (vs : Env V) : Expr V → Value
| One := 1
| (Var v) := vs v
| (Mult a b) := evalExpr a * evalExpr b
def novars : Env empty :=
empty.rec _
def singlevar (x : Value) : Env unit :=
λ _, x
open sum
def merge {A : Type u} {B : Type v} (a : Env A) (b : Env B) : Env (sum A B)
| (inl j) := a j
| (inr j) := b j
def map_var {A : Type u} {B : Type v} (f : A → B) : Expr A → Expr B
| One := One
| (Var v) := Var (f v)
| (Mult a b) := Mult (map_var a) (map_var b)
def sum_assoc {A : Type u} {B : Type v} {C : Type w} : sum (sum A B) C → sum A (sum B C)
| (inl (inl a)) := inl a
| (inl (inr b)) := inr (inl b)
| (inr c) := inr (inr c)
attribute [simp] evalExpr map_var sum_assoc merge
@[simp] lemma eval_map_var_shift {A : Type u} {B : Type v} (v : Env A) (v' : Env B) (e : Expr A) : evalExpr (merge v v') (map_var inl e) = evalExpr v e :=
begin
induction e,
reflexivity,
reflexivity,
simp_using_hs
end
@[simp] lemma eval_map_var_sum_assoc {A : Type u} {B : Type v} {C : Type w} (v : Env A) (v' : Env B) (v'' : Env C) (e : Expr (sum (sum A B) C)) :
evalExpr (merge v (merge v' v'')) (map_var sum_assoc e) = evalExpr (merge (merge v v') v'') e :=
begin
induction e,
reflexivity,
{ cases v_1 with v₁, cases v₁, all_goals {simp} },
{ simp_using_hs }
end
class Quote {V : out_param (Type u)} (l : out_param (Env V)) (n : Value) {V' : out_param (Type v)} (r : out_param (Env V')) :=
(quote : Expr (sum V V'))
(eval_quote : evalExpr (merge l r) quote = n)
def quote {V : Type u} {l : Env V} (n : nat) {V' : Type v} {r : Env V'} [Quote l n r] : Expr (sum V V') :=
Quote.quote l n r
@[simp] lemma eval_quote {V : Type u} {l : Env V} (n : nat) {V' : Type v} {r : Env V'} [Quote l n r] : evalExpr (merge l r) (quote n) = n :=
Quote.eval_quote l n r
instance quote_one V (v : Env V) : Quote v 1 novars :=
{ quote := One,
eval_quote := rfl }
instance quote_mul {V : Type u} (v : Env V) n {V' : Type v} (v' : Env V') m {V'' : Type w} (v'' : Env V'')
[Quote v n v'] [Quote (merge v v') m v''] :
Quote v (n * m) (merge v' v'') :=
{ quote := Mult (map_var sum_assoc (map_var inl (quote n))) (map_var sum_assoc (quote m)),
eval_quote := by simp }
end quote_bas
|
b4825247e7abc7d1f1a8e5cb33c640b26360fdcf | 8cae430f0a71442d02dbb1cbb14073b31048e4b0 | /src/algebra/order/kleene.lean | ed2ef7a143c8ef30f8212c9d28580578f0c41f21 | [
"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 | 12,910 | lean | /-
Copyright (c) 2022 Siddhartha Prasad, Yaël Dillies. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Siddhartha Prasad, Yaël Dillies
-/
import algebra.order.ring.canonical
import algebra.ring.pi
import algebra.ring.prod
import order.hom.complete_lattice
/-!
# Kleene Algebras
> THIS FILE IS SYNCHRONIZED WITH MATHLIB4.
> Any changes to this file require a corresponding PR to mathlib4.
This file defines idempotent semirings and Kleene algebras, which are used extensively in the theory
of computation.
An idempotent semiring is a semiring whose addition is idempotent. An idempotent semiring is
naturally a semilattice by setting `a ≤ b` if `a + b = b`.
A Kleene algebra is an idempotent semiring equipped with an additional unary operator `∗`, the
Kleene star.
## Main declarations
* `idem_semiring`: Idempotent semiring
* `idem_comm_semiring`: Idempotent commutative semiring
* `kleene_algebra`: Kleene algebra
## Notation
`a∗` is notation for `kstar a` in locale `computability`.
## References
* [D. Kozen, *A completeness theorem for Kleene algebras and the algebra of regular events*]
[kozen1994]
* https://planetmath.org/idempotentsemiring
* https://encyclopediaofmath.org/wiki/Idempotent_semi-ring
* https://planetmath.org/kleene_algebra
## TODO
Instances for `add_opposite`, `mul_opposite`, `ulift`, `subsemiring`, `subring`, `subalgebra`.
## Tags
kleene algebra, idempotent semiring
-/
set_option old_structure_cmd true
open function
universe u
variables {α β ι : Type*} {π : ι → Type*}
/-- An idempotent semiring is a semiring with the additional property that addition is idempotent.
-/
@[protect_proj]
class idem_semiring (α : Type u) extends semiring α, semilattice_sup α :=
(sup := (+))
(add_eq_sup : ∀ a b : α, a + b = a ⊔ b . try_refl_tac)
(bot : α := 0)
(bot_le : ∀ a, bot ≤ a)
/-- An idempotent commutative semiring is a commutative semiring with the additional property that
addition is idempotent. -/
@[protect_proj]
class idem_comm_semiring (α : Type u) extends comm_semiring α, idem_semiring α
/-- Notation typeclass for the Kleene star `∗`. -/
@[protect_proj]
class has_kstar (α : Type*) :=
(kstar : α → α)
localized "postfix `∗`:1025 := has_kstar.kstar" in computability
/-- A Kleene Algebra is an idempotent semiring with an additional unary operator `kstar` (for Kleene
star) that satisfies the following properties:
* `1 + a * a∗ ≤ a∗`
* `1 + a∗ * a ≤ a∗`
* If `a * c + b ≤ c`, then `a∗ * b ≤ c`
* If `c * a + b ≤ c`, then `b * a∗ ≤ c`
-/
@[protect_proj]
class kleene_algebra (α : Type*) extends idem_semiring α, has_kstar α :=
(one_le_kstar : ∀ a : α, 1 ≤ a∗)
(mul_kstar_le_kstar : ∀ a : α, a * a∗ ≤ a∗)
(kstar_mul_le_kstar : ∀ a : α, a∗ * a ≤ a∗)
(mul_kstar_le_self : ∀ a b : α, b * a ≤ b → b * a∗ ≤ b)
(kstar_mul_le_self : ∀ a b : α, a * b ≤ b → a∗ * b ≤ b)
@[priority 100] -- See note [lower instance priority]
instance idem_semiring.to_order_bot [idem_semiring α] : order_bot α := { ..‹idem_semiring α› }
/-- Construct an idempotent semiring from an idempotent addition. -/
@[reducible] -- See note [reducible non-instances]
def idem_semiring.of_semiring [semiring α] (h : ∀ a : α, a + a = a) : idem_semiring α :=
{ le := λ a b, a + b = b,
le_refl := h,
le_trans := λ a b c (hab : _ = _) (hbc : _ = _), by { change _ = _, rw [←hbc, ←add_assoc, hab] },
le_antisymm := λ a b (hab : _ = _) (hba : _ = _), by rwa [←hba, add_comm],
sup := (+),
le_sup_left := λ a b, by { change _ = _, rw [←add_assoc, h] },
le_sup_right := λ a b, by { change _ = _, rw [add_comm, add_assoc, h] },
sup_le := λ a b c hab (hbc : _ = _), by { change _ = _, rwa [add_assoc, hbc] },
bot := 0,
bot_le := zero_add,
..‹semiring α› }
section idem_semiring
variables [idem_semiring α] {a b c : α}
@[simp] lemma add_eq_sup (a b : α) : a + b = a ⊔ b := idem_semiring.add_eq_sup _ _
lemma add_idem (a : α) : a + a = a := by simp
lemma nsmul_eq_self : ∀ {n : ℕ} (hn : n ≠ 0) (a : α), n • a = a
| 0 h := (h rfl).elim
| 1 h := one_nsmul
| (n + 2) h := λ a, by rw [succ_nsmul, nsmul_eq_self n.succ_ne_zero, add_idem]
lemma add_eq_left_iff_le : a + b = a ↔ b ≤ a := by simp
lemma add_eq_right_iff_le : a + b = b ↔ a ≤ b := by simp
alias add_eq_left_iff_le ↔ _ has_le.le.add_eq_left
alias add_eq_right_iff_le ↔ _ has_le.le.add_eq_right
lemma add_le_iff : a + b ≤ c ↔ a ≤ c ∧ b ≤ c := by simp
lemma add_le (ha : a ≤ c) (hb : b ≤ c) : a + b ≤ c := add_le_iff.2 ⟨ha, hb⟩
@[priority 100] -- See note [lower instance priority]
instance idem_semiring.to_canonically_ordered_add_monoid : canonically_ordered_add_monoid α :=
{ add_le_add_left := λ a b hbc c, by { simp_rw add_eq_sup, exact sup_le_sup_left hbc _ },
exists_add_of_le := λ a b h, ⟨b, h.add_eq_right.symm⟩,
le_self_add := λ a b, add_eq_right_iff_le.1 $ by rw [←add_assoc, add_idem],
..‹idem_semiring α› }
@[priority 100] -- See note [lower instance priority]
instance idem_semiring.to_covariant_class_mul_le : covariant_class α α (*) (≤) :=
⟨λ a b c hbc, add_eq_left_iff_le.1 $ by rw [←mul_add, hbc.add_eq_left]⟩
@[priority 100] -- See note [lower instance priority]
instance idem_semiring.to_covariant_class_swap_mul_le : covariant_class α α (swap (*)) (≤) :=
⟨λ a b c hbc, add_eq_left_iff_le.1 $ by rw [←add_mul, hbc.add_eq_left]⟩
end idem_semiring
section kleene_algebra
variables [kleene_algebra α] {a b c : α}
@[simp] lemma one_le_kstar : 1 ≤ a∗ := kleene_algebra.one_le_kstar _
lemma mul_kstar_le_kstar : a * a∗ ≤ a∗ := kleene_algebra.mul_kstar_le_kstar _
lemma kstar_mul_le_kstar : a∗ * a ≤ a∗ := kleene_algebra.kstar_mul_le_kstar _
lemma mul_kstar_le_self : b * a ≤ b → b * a∗ ≤ b := kleene_algebra.mul_kstar_le_self _ _
lemma kstar_mul_le_self : a * b ≤ b → a∗ * b ≤ b := kleene_algebra.kstar_mul_le_self _ _
lemma mul_kstar_le (hb : b ≤ c) (ha : c * a ≤ c) : b * a∗ ≤ c :=
(mul_le_mul_right' hb _).trans $ mul_kstar_le_self ha
lemma kstar_mul_le (hb : b ≤ c) (ha : a * c ≤ c) : a∗ * b ≤ c :=
(mul_le_mul_left' hb _).trans $ kstar_mul_le_self ha
lemma kstar_le_of_mul_le_left (hb : 1 ≤ b) : b * a ≤ b → a∗ ≤ b := by simpa using mul_kstar_le hb
lemma kstar_le_of_mul_le_right (hb : 1 ≤ b) : a * b ≤ b → a∗ ≤ b := by simpa using kstar_mul_le hb
@[simp] lemma le_kstar : a ≤ a∗ := le_trans (le_mul_of_one_le_left' one_le_kstar) kstar_mul_le_kstar
@[mono] lemma kstar_mono : monotone (has_kstar.kstar : α → α) :=
λ a b h, kstar_le_of_mul_le_left one_le_kstar $ kstar_mul_le (h.trans le_kstar) $
mul_kstar_le_kstar
@[simp] lemma kstar_eq_one : a∗ = 1 ↔ a ≤ 1 :=
⟨le_kstar.trans_eq, λ h, one_le_kstar.antisymm' $ kstar_le_of_mul_le_left le_rfl $ by rwa one_mul⟩
@[simp] lemma kstar_zero : (0 : α)∗ = 1 := kstar_eq_one.2 zero_le_one
@[simp] lemma kstar_one : (1 : α)∗ = 1 := kstar_eq_one.2 le_rfl
@[simp] lemma kstar_mul_kstar (a : α) : a∗ * a∗ = a∗ :=
(mul_kstar_le le_rfl $ kstar_mul_le_kstar).antisymm $ le_mul_of_one_le_left' one_le_kstar
@[simp] lemma kstar_eq_self : a∗ = a ↔ a * a = a ∧ 1 ≤ a :=
⟨λ h, ⟨by rw [←h, kstar_mul_kstar], one_le_kstar.trans_eq h⟩, λ h,
(kstar_le_of_mul_le_left h.2 h.1.le).antisymm le_kstar⟩
@[simp] lemma kstar_idem (a : α) : a∗∗ = a∗ := kstar_eq_self.2 ⟨kstar_mul_kstar _, one_le_kstar⟩
@[simp] lemma pow_le_kstar : ∀ {n : ℕ}, a ^ n ≤ a∗
| 0 := (pow_zero _).trans_le one_le_kstar
| (n + 1) := by {rw pow_succ, exact (mul_le_mul_left' pow_le_kstar _).trans mul_kstar_le_kstar }
end kleene_algebra
namespace prod
instance [idem_semiring α] [idem_semiring β] : idem_semiring (α × β) :=
{ add_eq_sup := λ a b, ext (add_eq_sup _ _) (add_eq_sup _ _),
..prod.semiring, ..prod.semilattice_sup _ _, ..prod.order_bot _ _ }
instance [idem_comm_semiring α] [idem_comm_semiring β] : idem_comm_semiring (α × β) :=
{ ..prod.comm_semiring, ..prod.idem_semiring }
variables [kleene_algebra α] [kleene_algebra β]
instance : kleene_algebra (α × β) :=
{ kstar := λ a, (a.1∗, a.2∗),
one_le_kstar := λ a, ⟨one_le_kstar, one_le_kstar⟩,
mul_kstar_le_kstar := λ a, ⟨mul_kstar_le_kstar, mul_kstar_le_kstar⟩,
kstar_mul_le_kstar := λ a, ⟨kstar_mul_le_kstar, kstar_mul_le_kstar⟩,
mul_kstar_le_self := λ a b, and.imp mul_kstar_le_self mul_kstar_le_self,
kstar_mul_le_self := λ a b, and.imp kstar_mul_le_self kstar_mul_le_self,
..prod.idem_semiring }
lemma kstar_def (a : α × β) : a∗ = (a.1∗, a.2∗) := rfl
@[simp] lemma fst_kstar (a : α × β) : a∗.1 = a.1∗ := rfl
@[simp] lemma snd_kstar (a : α × β) : a∗.2 = a.2∗ := rfl
end prod
namespace pi
instance [Π i, idem_semiring (π i)] : idem_semiring (Π i, π i) :=
{ add_eq_sup := λ a b, funext $ λ i, add_eq_sup _ _,
..pi.semiring, ..pi.semilattice_sup, ..pi.order_bot }
instance [Π i, idem_comm_semiring (π i)] : idem_comm_semiring (Π i, π i) :=
{ ..pi.comm_semiring, ..pi.idem_semiring }
variables [Π i, kleene_algebra (π i)]
instance : kleene_algebra (Π i, π i) :=
{ kstar := λ a i, (a i)∗,
one_le_kstar := λ a i, one_le_kstar,
mul_kstar_le_kstar := λ a i, mul_kstar_le_kstar,
kstar_mul_le_kstar := λ a i, kstar_mul_le_kstar,
mul_kstar_le_self := λ a b h i, mul_kstar_le_self $ h _,
kstar_mul_le_self := λ a b h i, kstar_mul_le_self $ h _,
..pi.idem_semiring }
lemma kstar_def (a : Π i, π i) : a∗ = λ i, (a i)∗ := rfl
@[simp] lemma kstar_apply (a : Π i, π i) (i : ι) : a∗ i = (a i)∗ := rfl
end pi
namespace function.injective
/-- Pullback an `idem_semiring` instance along an injective function. -/
@[reducible] -- See note [reducible non-instances]
protected def idem_semiring [idem_semiring α] [has_zero β] [has_one β] [has_add β] [has_mul β]
[has_pow β ℕ] [has_smul ℕ β] [has_nat_cast β] [has_sup β] [has_bot β]
(f : β → α) (hf : injective f) (zero : f 0 = 0) (one : f 1 = 1)
(add : ∀ x y, f (x + y) = f x + f y) (mul : ∀ x y, f (x * y) = f x * f y)
(nsmul : ∀ x (n : ℕ), f (n • x) = n • f x) (npow : ∀ x (n : ℕ), f (x ^ n) = f x ^ n)
(nat_cast : ∀ n : ℕ, f n = n) (sup : ∀ a b, f (a ⊔ b) = f a ⊔ f b) (bot : f ⊥ = ⊥) :
idem_semiring β :=
{ add_eq_sup := λ a b, hf $ by erw [sup, add, add_eq_sup],
bot := ⊥,
bot_le := λ a, bot.trans_le $ @bot_le _ _ _ $ f a,
..hf.semiring f zero one add mul nsmul npow nat_cast, ..hf.semilattice_sup _ sup, ..‹has_bot β› }
/-- Pullback an `idem_comm_semiring` instance along an injective function. -/
@[reducible] -- See note [reducible non-instances]
protected def idem_comm_semiring [idem_comm_semiring α] [has_zero β] [has_one β] [has_add β]
[has_mul β] [has_pow β ℕ] [has_smul ℕ β] [has_nat_cast β] [has_sup β] [has_bot β]
(f : β → α) (hf : injective f) (zero : f 0 = 0) (one : f 1 = 1)
(add : ∀ x y, f (x + y) = f x + f y) (mul : ∀ x y, f (x * y) = f x * f y)
(nsmul : ∀ x (n : ℕ), f (n • x) = n • f x) (npow : ∀ x (n : ℕ), f (x ^ n) = f x ^ n)
(nat_cast : ∀ n : ℕ, f n = n) (sup : ∀ a b, f (a ⊔ b) = f a ⊔ f b) (bot : f ⊥ = ⊥) :
idem_comm_semiring β :=
{ ..hf.comm_semiring f zero one add mul nsmul npow nat_cast,
..hf.idem_semiring f zero one add mul nsmul npow nat_cast sup bot }
/-- Pullback an `idem_comm_semiring` instance along an injective function. -/
@[reducible] -- See note [reducible non-instances]
protected def kleene_algebra [kleene_algebra α] [has_zero β] [has_one β] [has_add β]
[has_mul β] [has_pow β ℕ] [has_smul ℕ β] [has_nat_cast β] [has_sup β] [has_bot β] [has_kstar β]
(f : β → α) (hf : injective f) (zero : f 0 = 0) (one : f 1 = 1)
(add : ∀ x y, f (x + y) = f x + f y) (mul : ∀ x y, f (x * y) = f x * f y)
(nsmul : ∀ x (n : ℕ), f (n • x) = n • f x) (npow : ∀ x (n : ℕ), f (x ^ n) = f x ^ n)
(nat_cast : ∀ n : ℕ, f n = n) (sup : ∀ a b, f (a ⊔ b) = f a ⊔ f b) (bot : f ⊥ = ⊥)
(kstar : ∀ a, f a∗ = (f a)∗) :
kleene_algebra β :=
{ one_le_kstar := λ a, one.trans_le $ by { erw kstar, exact one_le_kstar },
mul_kstar_le_kstar := λ a, by { change f _ ≤ _, erw [mul, kstar], exact mul_kstar_le_kstar },
kstar_mul_le_kstar := λ a, by { change f _ ≤ _, erw [mul, kstar], exact kstar_mul_le_kstar },
mul_kstar_le_self := λ a b (h : f _ ≤ _),
by { change f _ ≤ _, erw [mul, kstar], erw mul at h, exact mul_kstar_le_self h },
kstar_mul_le_self := λ a b (h : f _ ≤ _),
by { change f _ ≤ _, erw [mul, kstar], erw mul at h, exact kstar_mul_le_self h },
..hf.idem_semiring f zero one add mul nsmul npow nat_cast sup bot, ..‹has_kstar β› }
end function.injective
|
3401676ab42fe9bb46b63180513bf32a00422c5c | 206422fb9edabf63def0ed2aa3f489150fb09ccb | /src/order/rel_iso.lean | 16c7ecbe6a835cf0f07db4358fd2a4c233c85be9 | [
"Apache-2.0"
] | permissive | hamdysalah1/mathlib | b915f86b2503feeae268de369f1b16932321f097 | 95454452f6b3569bf967d35aab8d852b1ddf8017 | refs/heads/master | 1,677,154,116,545 | 1,611,797,994,000 | 1,611,797,994,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 29,400 | 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 logic.embedding
import order.rel_classes
import data.set.intervals.basic
open function
universes u v w
variables {α : Type*} {β : Type*} {γ : Type*}
{r : α → α → Prop} {s : β → β → Prop} {t : γ → γ → Prop}
/-- A relation homomorphism with respect to a given pair of relations `r` and `s`
is a function `f : α → β` such that `r a b → s (f a) (f b)`. -/
@[nolint has_inhabited_instance]
structure rel_hom {α β : Type*} (r : α → α → Prop) (s : β → β → Prop) :=
(to_fun : α → β)
(map_rel' : ∀ {a b}, r a b → s (to_fun a) (to_fun b))
infix ` →r `:25 := rel_hom
namespace rel_hom
instance : has_coe_to_fun (r →r s) := ⟨λ _, α → β, λ o, o.to_fun⟩
theorem map_rel (f : r →r s) : ∀ {a b}, r a b → s (f a) (f b) := f.map_rel'
@[simp] theorem coe_fn_mk (f : α → β) (o) :
(@rel_hom.mk _ _ r s f o : α → β) = f := rfl
@[simp] theorem coe_fn_to_fun (f : r →r s) : (f.to_fun : α → β) = f := rfl
/-- The map `coe_fn : (r →r s) → (α → β)` is injective. We can't use `function.injective`
here but mimic its signature by using `⦃e₁ e₂⦄`. -/
theorem coe_fn_inj : ∀ ⦃e₁ e₂ : r →r s⦄, (e₁ : α → β) = e₂ → e₁ = e₂
| ⟨f₁, o₁⟩ ⟨f₂, o₂⟩ h := by { congr, exact h }
@[ext] theorem ext ⦃f g : r →r s⦄ (h : ∀ x, f x = g x) : f = g :=
coe_fn_inj (funext h)
theorem ext_iff {f g : r →r s} : f = g ↔ ∀ x, f x = g x :=
⟨λ h x, h ▸ rfl, λ h, ext h⟩
/-- Identity map is a relation homomorphism. -/
@[refl] protected def id (r : α → α → Prop) : r →r r :=
⟨id, λ a b, id⟩
/-- Composition of two relation homomorphisms is a relation homomorphism. -/
@[trans] protected def comp (g : s →r t) (f : r →r s) : r →r t :=
⟨g.1 ∘ f.1, λ a b h, g.2 (f.2 h)⟩
@[simp] theorem id_apply (x : α) : rel_hom.id r x = x := rfl
@[simp] theorem comp_apply (g : s →r t) (f : r →r s) (a : α) : (g.comp f) a = g (f a) := rfl
/-- A relation homomorphism is also a relation homomorphism between dual relations. -/
protected def swap (f : r →r s) : swap r →r swap s :=
⟨f, λ a b, f.map_rel⟩
/-- A function is a relation homomorphism from the preimage relation of `s` to `s`. -/
def preimage (f : α → β) (s : β → β → Prop) : f ⁻¹'o s →r s := ⟨f, λ a b, id⟩
protected theorem is_irrefl : ∀ (f : r →r s) [is_irrefl β s], is_irrefl α r
| ⟨f, o⟩ ⟨H⟩ := ⟨λ a h, H _ (o h)⟩
protected theorem is_asymm : ∀ (f : r →r s) [is_asymm β s], is_asymm α r
| ⟨f, o⟩ ⟨H⟩ := ⟨λ a b h₁ h₂, H _ _ (o h₁) (o h₂)⟩
protected theorem acc (f : r →r s) (a : α) : acc s (f a) → acc r a :=
begin
generalize h : f a = b, intro ac,
induction ac with _ H IH generalizing a, subst h,
exact ⟨_, λ a' h, IH (f a') (f.map_rel h) _ rfl⟩
end
protected theorem well_founded : ∀ (f : r →r s) (h : well_founded s), well_founded r
| f ⟨H⟩ := ⟨λ a, f.acc _ (H _)⟩
lemma map_inf {α β : Type*} [semilattice_inf α] [linear_order β]
(a : ((<) : β → β → Prop) →r ((<) : α → α → Prop)) (m n : β) : a (m ⊓ n) = a m ⊓ a n :=
begin
symmetry, cases le_or_lt n m with h,
{ rw [inf_eq_right.mpr h, inf_eq_right], exact strict_mono.monotone (λ x y, a.map_rel) h, },
{ rw [inf_eq_left.mpr (le_of_lt h), inf_eq_left], exact le_of_lt (a.map_rel h), },
end
lemma map_sup {α β : Type*} [semilattice_sup α] [linear_order β]
(a : ((>) : β → β → Prop) →r ((>) : α → α → Prop)) (m n : β) : a (m ⊔ n) = a m ⊔ a n :=
begin
symmetry, cases le_or_lt m n with h,
{ rw [sup_eq_right.mpr h, sup_eq_right], exact strict_mono.monotone (λ x y, a.swap.map_rel) h, },
{ rw [sup_eq_left.mpr (le_of_lt h), sup_eq_left], exact le_of_lt (a.map_rel h), },
end
end rel_hom
/-- An increasing function is injective -/
lemma injective_of_increasing (r : α → α → Prop) (s : β → β → Prop) [is_trichotomous α r]
[is_irrefl β s] (f : α → β) (hf : ∀{x y}, r x y → s (f x) (f y)) : injective f :=
begin
intros x y hxy,
rcases trichotomous_of r x y with h | h | h,
have := hf h, rw hxy at this, exfalso, exact irrefl_of s (f y) this,
exact h,
have := hf h, rw hxy at this, exfalso, exact irrefl_of s (f y) this
end
/-- An increasing function is injective -/
lemma rel_hom.injective_of_increasing [is_trichotomous α r]
[is_irrefl β s] (f : r →r s) : injective f :=
injective_of_increasing r s f (λ x y, f.map_rel)
theorem surjective.well_founded_iff {f : α → β} (hf : surjective f)
(o : ∀ {a b}, r a b ↔ s (f a) (f b)) : well_founded r ↔ well_founded s :=
iff.intro (begin
apply rel_hom.well_founded,
refine rel_hom.mk _ _,
{exact classical.some hf.has_right_inverse},
intros a b h, apply o.2, convert h,
iterate 2 { apply classical.some_spec hf.has_right_inverse },
end) (rel_hom.well_founded ⟨f, λ _ _, o.1⟩)
/-- A relation embedding with respect to a given pair of relations `r` and `s`
is an embedding `f : α ↪ β` such that `r a b ↔ s (f a) (f b)`. -/
structure rel_embedding {α β : Type*} (r : α → α → Prop) (s : β → β → Prop) extends α ↪ β :=
(map_rel_iff' : ∀ {a b}, s (to_embedding a) (to_embedding b) ↔ r a b)
infix ` ↪r `:25 := rel_embedding
/-- An order embedding is an embedding `f : α ↪ β` such that `a ≤ b ↔ (f a) ≤ (f b)`.
This definition is an abbreviation of `rel_embedding (≤) (≤)`. -/
abbreviation order_embedding (α β : Type*) [has_le α] [has_le β] :=
@rel_embedding α β (≤) (≤)
infix ` ↪o `:25 := order_embedding
/-- The induced relation on a subtype is an embedding under the natural inclusion. -/
definition subtype.rel_embedding {X : Type*} (r : X → X → Prop) (p : X → Prop) :
((subtype.val : subtype p → X) ⁻¹'o r) ↪r r :=
⟨embedding.subtype p, λ x y, iff.rfl⟩
theorem preimage_equivalence {α β} (f : α → β) {s : β → β → Prop}
(hs : equivalence s) : equivalence (f ⁻¹'o s) :=
⟨λ a, hs.1 _, λ a b h, hs.2.1 h, λ a b c h₁ h₂, hs.2.2 h₁ h₂⟩
namespace rel_embedding
/-- A relation embedding is also a relation homomorphism -/
def to_rel_hom (f : r ↪r s) : (r →r s) :=
{ to_fun := f.to_embedding.to_fun,
map_rel' := λ x y, (map_rel_iff' f).mpr }
instance : has_coe (r ↪r s) (r →r s) := ⟨to_rel_hom⟩
-- see Note [function coercion]
instance : has_coe_to_fun (r ↪r s) := ⟨λ _, α → β, λ o, o.to_embedding⟩
@[simp] lemma to_rel_hom_eq_coe (f : r ↪r s) : f.to_rel_hom = f := rfl
@[simp] lemma coe_coe_fn (f : r ↪r s) : ((f : r →r s) : α → β) = f := rfl
theorem injective (f : r ↪r s) : injective f := f.inj'
theorem map_rel_iff (f : r ↪r s) : ∀ {a b}, s (f a) (f b) ↔ r a b := f.map_rel_iff'
@[simp] theorem coe_fn_mk (f : α ↪ β) (o) :
(@rel_embedding.mk _ _ r s f o : α → β) = f := rfl
@[simp] theorem coe_fn_to_embedding (f : r ↪r s) : (f.to_embedding : α → β) = f := rfl
/-- The map `coe_fn : (r ↪r s) → (α → β)` is injective. We can't use `function.injective`
here but mimic its signature by using `⦃e₁ e₂⦄`. -/
theorem coe_fn_inj : ∀ ⦃e₁ e₂ : r ↪r s⦄, (e₁ : α → β) = e₂ → e₁ = e₂
| ⟨⟨f₁, h₁⟩, o₁⟩ ⟨⟨f₂, h₂⟩, o₂⟩ h := by { congr, exact h }
@[ext] theorem ext ⦃f g : r ↪r s⦄ (h : ∀ x, f x = g x) : f = g :=
coe_fn_inj (funext h)
theorem ext_iff {f g : r ↪r s} : f = g ↔ ∀ x, f x = g x :=
⟨λ h x, h ▸ rfl, λ h, ext h⟩
/-- Identity map is a relation embedding. -/
@[refl] protected def refl (r : α → α → Prop) : r ↪r r :=
⟨embedding.refl _, λ a b, iff.rfl⟩
/-- Composition of two relation embeddings is a relation embedding. -/
@[trans] protected def trans (f : r ↪r s) (g : s ↪r t) : r ↪r t :=
⟨f.1.trans g.1, λ a b, by simp [f.map_rel_iff, g.map_rel_iff]⟩
instance (r : α → α → Prop) : inhabited (r ↪r r) := ⟨rel_embedding.refl _⟩
@[simp] theorem refl_apply (x : α) : rel_embedding.refl r x = x := rfl
theorem trans_apply (f : r ↪r s) (g : s ↪r t) (a : α) : (f.trans g) a = g (f a) := rfl
@[simp] theorem coe_trans (f : r ↪r s) (g : s ↪r t) : ⇑(f.trans g) = g ∘ f := rfl
/-- A relation embedding is also a relation embedding between dual relations. -/
protected def swap (f : r ↪r s) : swap r ↪r swap s :=
⟨f.to_embedding, λ a b, f.map_rel_iff⟩
/-- If `f` is injective, then it is a relation embedding from the
preimage relation of `s` to `s`. -/
def preimage (f : α ↪ β) (s : β → β → Prop) : f ⁻¹'o s ↪r s := ⟨f, λ a b, iff.rfl⟩
theorem eq_preimage (f : r ↪r s) : r = f ⁻¹'o s :=
by { ext a b, exact f.map_rel_iff.symm }
protected theorem is_irrefl (f : r ↪r s) [is_irrefl β s] : is_irrefl α r :=
⟨λ a, mt f.map_rel_iff.2 (irrefl (f a))⟩
protected theorem is_refl (f : r ↪r s) [is_refl β s] : is_refl α r :=
⟨λ a, f.map_rel_iff.1 $ refl _⟩
protected theorem is_symm (f : r ↪r s) [is_symm β s] : is_symm α r :=
⟨λ a b, imp_imp_imp f.map_rel_iff.2 f.map_rel_iff.1 symm⟩
protected theorem is_asymm (f : r ↪r s) [is_asymm β s] : is_asymm α r :=
⟨λ a b h₁ h₂, asymm (f.map_rel_iff.2 h₁) (f.map_rel_iff.2 h₂)⟩
protected theorem is_antisymm : ∀ (f : r ↪r s) [is_antisymm β s], is_antisymm α r
| ⟨f, o⟩ ⟨H⟩ := ⟨λ a b h₁ h₂, f.inj' (H _ _ (o.2 h₁) (o.2 h₂))⟩
protected theorem is_trans : ∀ (f : r ↪r s) [is_trans β s], is_trans α r
| ⟨f, o⟩ ⟨H⟩ := ⟨λ a b c h₁ h₂, o.1 (H _ _ _ (o.2 h₁) (o.2 h₂))⟩
protected theorem is_total : ∀ (f : r ↪r s) [is_total β s], is_total α r
| ⟨f, o⟩ ⟨H⟩ := ⟨λ a b, (or_congr o o).1 (H _ _)⟩
protected theorem is_preorder : ∀ (f : r ↪r s) [is_preorder β s], is_preorder α r
| f H := by exactI {..f.is_refl, ..f.is_trans}
protected theorem is_partial_order : ∀ (f : r ↪r s) [is_partial_order β s], is_partial_order α r
| f H := by exactI {..f.is_preorder, ..f.is_antisymm}
protected theorem is_linear_order : ∀ (f : r ↪r s) [is_linear_order β s], is_linear_order α r
| f H := by exactI {..f.is_partial_order, ..f.is_total}
protected theorem is_strict_order : ∀ (f : r ↪r s) [is_strict_order β s], is_strict_order α r
| f H := by exactI {..f.is_irrefl, ..f.is_trans}
protected theorem is_trichotomous : ∀ (f : r ↪r s) [is_trichotomous β s], is_trichotomous α r
| ⟨f, o⟩ ⟨H⟩ := ⟨λ a b, (or_congr o (or_congr f.inj'.eq_iff o)).1 (H _ _)⟩
protected theorem is_strict_total_order' :
∀ (f : r ↪r s) [is_strict_total_order' β s], is_strict_total_order' α r
| f H := by exactI {..f.is_trichotomous, ..f.is_strict_order}
protected theorem acc (f : r ↪r s) (a : α) : acc s (f a) → acc r a :=
begin
generalize h : f a = b, intro ac,
induction ac with _ H IH generalizing a, subst h,
exact ⟨_, λ a' h, IH (f a') (f.map_rel_iff.2 h) _ rfl⟩
end
protected theorem well_founded : ∀ (f : r ↪r s) (h : well_founded s), well_founded r
| f ⟨H⟩ := ⟨λ a, f.acc _ (H _)⟩
protected theorem is_well_order : ∀ (f : r ↪r s) [is_well_order β s], is_well_order α r
| f H := by exactI {wf := f.well_founded H.wf, ..f.is_strict_total_order'}
/-- It suffices to prove `f` is monotone between strict relations
to show it is a relation embedding. -/
def of_monotone [is_trichotomous α r] [is_asymm β s] (f : α → β)
(H : ∀ a b, r a b → s (f a) (f b)) : r ↪r s :=
begin
haveI := @is_asymm.is_irrefl β s _,
refine ⟨⟨f, λ a b e, _⟩, λ a b, ⟨λ h, _, H _ _⟩⟩,
{ refine ((@trichotomous _ r _ a b).resolve_left _).resolve_right _;
exact λ h, @irrefl _ s _ _ (by simpa [e] using H _ _ h) },
{ refine (@trichotomous _ r _ a b).resolve_right (or.rec (λ e, _) (λ h', _)),
{ subst e, exact irrefl _ h },
{ exact asymm (H _ _ h') h } }
end
@[simp] theorem of_monotone_coe [is_trichotomous α r] [is_asymm β s] (f : α → β) (H) :
(@of_monotone _ _ r s _ _ f H : α → β) = f := rfl
/-- Embeddings of partial orders that preserve `<` also preserve `≤` -/
def order_embedding_of_lt_embedding [partial_order α] [partial_order β]
(f : ((<) : α → α → Prop) ↪r ((<) : β → β → Prop)) :
α ↪o β :=
{ map_rel_iff' := by { intros, simp [le_iff_lt_or_eq,f.map_rel_iff, f.injective] }, .. f }
end rel_embedding
namespace order_embedding
variables [preorder α] [preorder β] (f : α ↪o β)
/-- lt is preserved by order embeddings of preorders -/
def lt_embedding : ((<) : α → α → Prop) ↪r ((<) : β → β → Prop) :=
{ map_rel_iff' := by intros; simp [lt_iff_le_not_le, f.map_rel_iff], .. f }
@[simp] lemma lt_embedding_apply (x : α) : f.lt_embedding x = f x := rfl
@[simp] theorem le_iff_le {a b} : (f a) ≤ (f b) ↔ a ≤ b := f.map_rel_iff
@[simp] theorem lt_iff_lt {a b} : f a < f b ↔ a < b :=
f.lt_embedding.map_rel_iff
@[simp] lemma eq_iff_eq {a b} : f a = f b ↔ a = b := f.injective.eq_iff
protected theorem monotone : monotone f := λ x y, f.le_iff_le.2
protected theorem strict_mono : strict_mono f := λ x y, f.lt_iff_lt.2
protected theorem acc (a : α) : acc (<) (f a) → acc (<) a :=
f.lt_embedding.acc a
protected theorem well_founded :
well_founded ((<) : β → β → Prop) → well_founded ((<) : α → α → Prop) :=
f.lt_embedding.well_founded
protected theorem is_well_order [is_well_order β (<)] : is_well_order α (<) :=
f.lt_embedding.is_well_order
/-- An order embedding is also an order embedding between dual orders. -/
protected def dual : order_dual α ↪o order_dual β :=
⟨f.to_embedding, λ a b, f.map_rel_iff⟩
/-- A sctrictly monotone map from a linear order is an order embedding. --/
def of_strict_mono {α β} [linear_order α] [preorder β] (f : α → β)
(h : strict_mono f) : α ↪o β :=
{ to_fun := f,
inj' := strict_mono.injective h,
map_rel_iff' := λ a b, h.le_iff_le }
@[simp] lemma coe_of_strict_mono {α β} [linear_order α] [preorder β] {f : α → β}
(h : strict_mono f) : ⇑(of_strict_mono f h) = f := rfl
/-- Embedding of a subtype into the ambient type as an `order_embedding`. -/
def subtype (p : α → Prop) : subtype p ↪o α :=
⟨embedding.subtype p, λ x y, iff.rfl⟩
@[simp] lemma coe_subtype (p : α → Prop) : ⇑(subtype p) = coe := rfl
end order_embedding
/-- A relation isomorphism is an equivalence that is also a relation embedding. -/
structure rel_iso {α β : Type*} (r : α → α → Prop) (s : β → β → Prop) extends α ≃ β :=
(map_rel_iff' : ∀ {a b}, s (to_equiv a) (to_equiv b) ↔ r a b)
infix ` ≃r `:25 := rel_iso
/-- An order isomorphism is an equivalence such that `a ≤ b ↔ (f a) ≤ (f b)`.
This definition is an abbreviation of `rel_iso (≤) (≤)`. -/
abbreviation order_iso (α β : Type*) [has_le α] [has_le β] := @rel_iso α β (≤) (≤)
infix ` ≃o `:25 := order_iso
namespace rel_iso
/-- Convert an `rel_iso` to an `rel_embedding`. This function is also available as a coercion
but often it is easier to write `f.to_rel_embedding` than to write explicitly `r` and `s`
in the target type. -/
def to_rel_embedding (f : r ≃r s) : r ↪r s :=
⟨f.to_equiv.to_embedding, f.map_rel_iff'⟩
instance : has_coe (r ≃r s) (r ↪r s) := ⟨to_rel_embedding⟩
-- see Note [function coercion]
instance : has_coe_to_fun (r ≃r s) := ⟨λ _, α → β, λ f, f⟩
@[simp] lemma to_rel_embedding_eq_coe (f : r ≃r s) : f.to_rel_embedding = f := rfl
@[simp] lemma coe_coe_fn (f : r ≃r s) : ((f : r ↪r s) : α → β) = f := rfl
theorem map_rel_iff (f : r ≃r s) : ∀ {a b}, s (f a) (f b) ↔ r a b := f.map_rel_iff'
@[simp] theorem coe_fn_mk (f : α ≃ β) (o : ∀ ⦃a b⦄, s (f a) (f b) ↔ r a b) :
(rel_iso.mk f o : α → β) = f := rfl
@[simp] theorem coe_fn_to_equiv (f : r ≃r s) : (f.to_equiv : α → β) = f := rfl
theorem injective_to_equiv : injective (to_equiv : (r ≃r s) → α ≃ β)
| ⟨e₁, o₁⟩ ⟨e₂, o₂⟩ h := by { congr, exact h }
/-- The map `coe_fn : (r ≃r s) → (α → β)` is injective. Lean fails to parse
`function.injective (λ e : r ≃r s, (e : α → β))`, so we use a trick to say the same. -/
theorem injective_coe_fn : function.injective (λ (e : r ≃r s) (x : α), e x) :=
equiv.injective_coe_fn.comp injective_to_equiv
@[ext] theorem ext ⦃f g : r ≃r s⦄ (h : ∀ x, f x = g x) : f = g :=
injective_coe_fn (funext h)
theorem ext_iff {f g : r ≃r s} : f = g ↔ ∀ x, f x = g x :=
⟨λ h x, h ▸ rfl, λ h, ext h⟩
/-- Identity map is a relation isomorphism. -/
@[refl] protected def refl (r : α → α → Prop) : r ≃r r :=
⟨equiv.refl _, λ a b, iff.rfl⟩
/-- Inverse map of a relation isomorphism is a relation isomorphism. -/
@[symm] protected def symm (f : r ≃r s) : s ≃r r :=
⟨f.to_equiv.symm, λ a b, by erw [← f.map_rel_iff, f.1.apply_symm_apply, f.1.apply_symm_apply]⟩
/-- Composition of two relation isomorphisms is a relation isomorphism. -/
@[trans] protected def trans (f₁ : r ≃r s) (f₂ : s ≃r t) : r ≃r t :=
⟨f₁.to_equiv.trans f₂.to_equiv, λ a b, f₂.map_rel_iff.trans f₁.map_rel_iff⟩
instance (r : α → α → Prop) : inhabited (r ≃r r) := ⟨rel_iso.refl _⟩
@[simp] lemma default_def (r : α → α → Prop) : default (r ≃r r) = rel_iso.refl r := rfl
/-- a relation isomorphism is also a relation isomorphism between dual relations. -/
protected def swap (f : r ≃r s) : (swap r) ≃r (swap s) :=
⟨f.to_equiv, λ _ _, f.map_rel_iff⟩
@[simp] theorem coe_fn_symm_mk (f o) : ((@rel_iso.mk _ _ r s f o).symm : β → α) = f.symm :=
rfl
@[simp] theorem refl_apply (x : α) : rel_iso.refl r x = x := rfl
@[simp] theorem trans_apply (f : r ≃r s) (g : s ≃r t) (a : α) : (f.trans g) a = g (f a) :=
rfl
@[simp] theorem apply_symm_apply (e : r ≃r s) (x : β) : e (e.symm x) = x :=
e.to_equiv.apply_symm_apply x
@[simp] theorem symm_apply_apply (e : r ≃r s) (x : α) : e.symm (e x) = x :=
e.to_equiv.symm_apply_apply x
theorem rel_symm_apply (e : r ≃r s) {x y} : r x (e.symm y) ↔ s (e x) y :=
by rw [← e.map_rel_iff, e.apply_symm_apply]
theorem symm_apply_rel (e : r ≃r s) {x y} : r (e.symm x) y ↔ s x (e y) :=
by rw [← e.map_rel_iff, e.apply_symm_apply]
protected lemma bijective (e : r ≃r s) : bijective e := e.to_equiv.bijective
protected lemma injective (e : r ≃r s) : injective e := e.to_equiv.injective
protected lemma surjective (e : r ≃r s) : surjective e := e.to_equiv.surjective
@[simp] lemma range_eq (e : r ≃r s) : set.range e = set.univ := e.surjective.range_eq
@[simp] lemma eq_iff_eq (f : r ≃r s) {a b} : f a = f b ↔ a = b :=
f.injective.eq_iff
/-- Any equivalence lifts to a relation isomorphism between `s` and its preimage. -/
protected def preimage (f : α ≃ β) (s : β → β → Prop) : f ⁻¹'o s ≃r s := ⟨f, λ a b, iff.rfl⟩
/-- A surjective relation embedding is a relation isomorphism. -/
noncomputable def of_surjective (f : r ↪r s) (H : surjective f) : r ≃r s :=
⟨equiv.of_bijective f ⟨f.injective, H⟩, λ a b, f.map_rel_iff⟩
@[simp] theorem of_surjective_coe (f : r ↪r s) (H) : (of_surjective f H : α → β) = f :=
rfl
/--
Given relation isomorphisms `r₁ ≃r r₂` and `s₁ ≃r s₂`, construct a relation isomorphism for the
lexicographic orders on the sum.
-/
def sum_lex_congr {α₁ α₂ β₁ β₂ r₁ r₂ s₁ s₂}
(e₁ : @rel_iso α₁ α₂ r₁ r₂) (e₂ : @rel_iso β₁ β₂ s₁ s₂) :
sum.lex r₁ s₁ ≃r sum.lex r₂ s₂ :=
⟨equiv.sum_congr e₁.to_equiv e₂.to_equiv, λ a b,
by cases e₁ with f hf; cases e₂ with g hg;
cases a; cases b; simp [hf, hg]⟩
/--
Given relation isomorphisms `r₁ ≃r r₂` and `s₁ ≃r s₂`, construct a relation isomorphism for the
lexicographic orders on the product.
-/
def prod_lex_congr {α₁ α₂ β₁ β₂ r₁ r₂ s₁ s₂}
(e₁ : @rel_iso α₁ α₂ r₁ r₂) (e₂ : @rel_iso β₁ β₂ s₁ s₂) :
prod.lex r₁ s₁ ≃r prod.lex r₂ s₂ :=
⟨equiv.prod_congr e₁.to_equiv e₂.to_equiv,
λ a b, by simp [prod.lex_def, e₁.map_rel_iff, e₂.map_rel_iff]⟩
instance : group (r ≃r r) :=
{ one := rel_iso.refl r,
mul := λ f₁ f₂, f₂.trans f₁,
inv := rel_iso.symm,
mul_assoc := λ f₁ f₂ f₃, rfl,
one_mul := λ f, ext $ λ _, rfl,
mul_one := λ f, ext $ λ _, rfl,
mul_left_inv := λ f, ext f.symm_apply_apply }
@[simp] lemma coe_one : ⇑(1 : r ≃r r) = id := rfl
@[simp] lemma coe_mul (e₁ e₂ : r ≃r r) : ⇑(e₁ * e₂) = e₁ ∘ e₂ := rfl
lemma mul_apply (e₁ e₂ : r ≃r r) (x : α) : (e₁ * e₂) x = e₁ (e₂ x) := rfl
@[simp] lemma inv_apply_self (e : r ≃r r) (x) : e⁻¹ (e x) = x := e.symm_apply_apply x
@[simp] lemma apply_inv_self (e : r ≃r r) (x) : e (e⁻¹ x) = x := e.apply_symm_apply x
end rel_iso
namespace order_iso
section has_le
variables [has_le α] [has_le β] [has_le γ]
/-- Reinterpret an order isomorphism as an order embedding. -/
def to_order_embedding (e : α ≃o β) : α ↪o β :=
e.to_rel_embedding
@[simp] lemma coe_to_order_embedding (e : α ≃o β) :
⇑(e.to_order_embedding) = e := rfl
protected lemma bijective (e : α ≃o β) : bijective e := e.to_equiv.bijective
protected lemma injective (e : α ≃o β) : injective e := e.to_equiv.injective
protected lemma surjective (e : α ≃o β) : surjective e := e.to_equiv.surjective
@[simp] lemma range_eq (e : α ≃o β) : set.range e = set.univ := e.surjective.range_eq
@[simp] lemma apply_eq_iff_eq (e : α ≃o β) {x y : α} : e x = e y ↔ x = y :=
e.to_equiv.apply_eq_iff_eq
/-- Inverse of an order isomorphism. -/
def symm (e : α ≃o β) : β ≃o α := e.symm
@[simp] lemma apply_symm_apply (e : α ≃o β) (x : β) : e (e.symm x) = x :=
e.to_equiv.apply_symm_apply x
@[simp] lemma symm_apply_apply (e : α ≃o β) (x : α) : e.symm (e x) = x :=
e.to_equiv.symm_apply_apply x
theorem symm_apply_eq (e : α ≃o β) {x : α} {y : β} : e.symm y = x ↔ y = e x :=
e.to_equiv.symm_apply_eq
@[simp] lemma symm_symm (e : α ≃o β) : e.symm.symm = e := by { ext, refl }
lemma symm_injective : injective (symm : (α ≃o β) → (β ≃o α)) :=
λ e e' h, by rw [← e.symm_symm, h, e'.symm_symm]
@[simp] lemma to_equiv_symm (e : α ≃o β) : e.to_equiv.symm = e.symm.to_equiv := rfl
/-- Composition of two order isomorphisms is an order isomorphism. -/
@[trans] def trans (e : α ≃o β) (e' : β ≃o γ) : α ≃o γ := e.trans e'
@[simp] lemma coe_trans (e : α ≃o β) (e' : β ≃o γ) : ⇑(e.trans e') = e' ∘ e := rfl
lemma trans_apply (e : α ≃o β) (e' : β ≃o γ) (x : α) : e.trans e' x = e' (e x) := rfl
end has_le
open set
variables [preorder α] [preorder β] [preorder γ]
protected lemma monotone (e : α ≃o β) : monotone e := e.to_order_embedding.monotone
protected lemma strict_mono (e : α ≃o β) : strict_mono e := e.to_order_embedding.strict_mono
@[simp] lemma le_iff_le (e : α ≃o β) {x y : α} : e x ≤ e y ↔ x ≤ y := e.map_rel_iff
@[simp] lemma lt_iff_lt (e : α ≃o β) {x y : α} : e x < e y ↔ x < y :=
e.to_order_embedding.lt_iff_lt
@[simp] lemma preimage_Iic (e : α ≃o β) (b : β) : e ⁻¹' (Iic b) = Iic (e.symm b) :=
by { ext x, simp [← e.le_iff_le] }
@[simp] lemma preimage_Ici (e : α ≃o β) (b : β) : e ⁻¹' (Ici b) = Ici (e.symm b) :=
by { ext x, simp [← e.le_iff_le] }
@[simp] lemma preimage_Iio (e : α ≃o β) (b : β) : e ⁻¹' (Iio b) = Iio (e.symm b) :=
by { ext x, simp [← e.lt_iff_lt] }
@[simp] lemma preimage_Ioi (e : α ≃o β) (b : β) : e ⁻¹' (Ioi b) = Ioi (e.symm b) :=
by { ext x, simp [← e.lt_iff_lt] }
@[simp] lemma preimage_Icc (e : α ≃o β) (a b : β) : e ⁻¹' (Icc a b) = Icc (e.symm a) (e.symm b) :=
by simp [← Ici_inter_Iic]
@[simp] lemma preimage_Ico (e : α ≃o β) (a b : β) : e ⁻¹' (Ico a b) = Ico (e.symm a) (e.symm b) :=
by simp [← Ici_inter_Iio]
@[simp] lemma preimage_Ioc (e : α ≃o β) (a b : β) : e ⁻¹' (Ioc a b) = Ioc (e.symm a) (e.symm b) :=
by simp [← Ioi_inter_Iic]
@[simp] lemma preimage_Ioo (e : α ≃o β) (a b : β) : e ⁻¹' (Ioo a b) = Ioo (e.symm a) (e.symm b) :=
by simp [← Ioi_inter_Iio]
/-- To show that `f : α → β`, `g : β → α` make up an order isomorphism of linear orders,
it suffices to prove `cmp a (g b) = cmp (f a) b`. --/
def of_cmp_eq_cmp {α β} [linear_order α] [linear_order β] (f : α → β) (g : β → α)
(h : ∀ (a : α) (b : β), cmp a (g b) = cmp (f a) b) : α ≃o β :=
have gf : ∀ (a : α), a = g (f a) := by { intro, rw [←cmp_eq_eq_iff, h, cmp_self_eq_eq] },
{ to_fun := f,
inv_fun := g,
left_inv := λ a, (gf a).symm,
right_inv := by { intro, rw [←cmp_eq_eq_iff, ←h, cmp_self_eq_eq] },
map_rel_iff' := by { intros, apply le_iff_le_of_cmp_eq_cmp, convert (h _ _).symm, apply gf } }
/-- Order isomorphism between two equal sets. -/
def set_congr (s t : set α) (h : s = t) : s ≃o t :=
{ to_equiv := equiv.set_congr h,
map_rel_iff' := λ x y, iff.rfl }
/-- Order isomorphism between `univ : set α` and `α`. -/
def set.univ : (set.univ : set α) ≃o α :=
{ to_equiv := equiv.set.univ α,
map_rel_iff' := λ x y, iff.rfl }
end order_iso
/-- If a function `f` is strictly monotone on a set `s`, then it defines an order isomorphism
between `s` and its image. -/
protected noncomputable def strict_mono_incr_on.order_iso {α β} [linear_order α] [preorder β]
(f : α → β) (s : set α) (hf : strict_mono_incr_on f s) :
s ≃o f '' s :=
{ to_equiv := hf.inj_on.bij_on_image.equiv _,
map_rel_iff' := λ x y, hf.le_iff_le x.2 y.2 }
/-- A strictly monotone function from a linear order is an order isomorphism between its domain and
its range. -/
protected noncomputable def strict_mono.order_iso {α β} [linear_order α] [preorder β] (f : α → β)
(h_mono : strict_mono f) : α ≃o set.range f :=
{ to_equiv := equiv.set.range f h_mono.injective,
map_rel_iff' := λ a b, h_mono.le_iff_le }
/-- A strictly monotone surjective function from a linear order is an order isomorphism. -/
noncomputable def strict_mono.order_iso_of_surjective {α β} [linear_order α] [preorder β]
(f : α → β) (h_mono : strict_mono f) (h_surj : surjective f) : α ≃o β :=
(h_mono.order_iso f).trans $ (order_iso.set_congr _ _ h_surj.range_eq).trans order_iso.set.univ
/-- `subrel r p` is the inherited relation on a subset. -/
def subrel (r : α → α → Prop) (p : set α) : p → p → Prop :=
(coe : p → α) ⁻¹'o r
@[simp] theorem subrel_val (r : α → α → Prop) (p : set α)
{a b} : subrel r p a b ↔ r a.1 b.1 := iff.rfl
namespace subrel
/-- The relation embedding from the inherited relation on a subset. -/
protected def rel_embedding (r : α → α → Prop) (p : set α) :
subrel r p ↪r r := ⟨embedding.subtype _, λ a b, iff.rfl⟩
@[simp] theorem rel_embedding_apply (r : α → α → Prop) (p a) :
subrel.rel_embedding r p a = a.1 := rfl
instance (r : α → α → Prop) [is_well_order α r]
(p : set α) : is_well_order p (subrel r p) :=
rel_embedding.is_well_order (subrel.rel_embedding r p)
end subrel
/-- Restrict the codomain of a relation embedding. -/
def rel_embedding.cod_restrict (p : set β) (f : r ↪r s) (H : ∀ a, f a ∈ p) : r ↪r subrel s p :=
⟨f.to_embedding.cod_restrict p H, f.map_rel_iff'⟩
@[simp] theorem rel_embedding.cod_restrict_apply (p) (f : r ↪r s) (H a) :
rel_embedding.cod_restrict p f H a = ⟨f a, H a⟩ := rfl
/-- An order isomorphism is also an order isomorphism between dual orders. -/
protected def order_iso.dual [preorder α] [preorder β] (f : α ≃o β) :
order_dual α ≃o order_dual β := ⟨f.to_equiv, λ _ _, f.map_rel_iff⟩
section lattice_isos
lemma order_iso.map_bot' [partial_order α] [partial_order β] (f : α ≃o β) {x : α} {y : β}
(hx : ∀ x', x ≤ x') (hy : ∀ y', y ≤ y') : f x = y :=
by { refine le_antisymm _ (hy _), rw [← f.apply_symm_apply y, f.map_rel_iff], apply hx }
lemma order_iso.map_bot [order_bot α] [order_bot β] (f : α ≃o β) : f ⊥ = ⊥ :=
f.map_bot' (λ _, bot_le) (λ _, bot_le)
lemma order_iso.map_top' [partial_order α] [partial_order β] (f : α ≃o β) {x : α} {y : β}
(hx : ∀ x', x' ≤ x) (hy : ∀ y', y' ≤ y) : f x = y :=
f.dual.map_bot' hx hy
lemma order_iso.map_top [order_top α] [order_top β] (f : α ≃o β) : f ⊤ = ⊤ :=
f.dual.map_bot
lemma order_embedding.map_inf_le [semilattice_inf α] [semilattice_inf β]
(f : α ↪o β) (x y : α) :
f (x ⊓ y) ≤ f x ⊓ f y :=
f.monotone.map_inf_le x y
lemma order_iso.map_inf [semilattice_inf α] [semilattice_inf β]
(f : α ≃o β) (x y : α) :
f (x ⊓ y) = f x ⊓ f y :=
begin
refine (f.to_order_embedding.map_inf_le x y).antisymm _,
simpa [← f.symm.le_iff_le] using f.symm.to_order_embedding.map_inf_le (f x) (f y)
end
lemma order_embedding.le_map_sup [semilattice_sup α] [semilattice_sup β]
(f : α ↪o β) (x y : α) :
f x ⊔ f y ≤ f (x ⊔ y) :=
f.monotone.le_map_sup x y
lemma order_iso.map_sup [semilattice_sup α] [semilattice_sup β]
(f : α ≃o β) (x y : α) :
f (x ⊔ y) = f x ⊔ f y :=
f.dual.map_inf x y
end lattice_isos
|
3b42a9c1308a4407d54c663a870e7b50f0f56424 | 35677d2df3f081738fa6b08138e03ee36bc33cad | /src/data/pequiv.lean | 558c23baab78be144aa07be20521774683eaecc5 | [
"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 | 11,735 | lean | /-
Copyright (c) 2019 Chris Hughes. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Chris Hughes
-/
import data.equiv.basic data.set.lattice tactic.tauto
universes u v w x
/-- A `pequiv` is a partial equivalence, a representation of a bijection between a subset
of `α` and a subset of `β` -/
structure pequiv (α : Type u) (β : Type v) :=
(to_fun : α → option β)
(inv_fun : β → option α)
(inv : ∀ (a : α) (b : β), a ∈ inv_fun b ↔ b ∈ to_fun a)
infixr ` ≃. `:25 := pequiv
namespace pequiv
variables {α : Type u} {β : Type v} {γ : Type w} {δ : Type x}
open function option
instance : has_coe_to_fun (α ≃. β) := ⟨_, to_fun⟩
@[simp] lemma coe_mk_apply (f₁ : α → option β) (f₂ : β → option α) (h) (x : α) :
(pequiv.mk f₁ f₂ h : α → option β) x = f₁ x := rfl
@[ext] lemma ext : ∀ {f g : α ≃. β} (h : ∀ x, f x = g x), f = g
| ⟨f₁, f₂, hf⟩ ⟨g₁, g₂, hg⟩ h :=
have h : f₁ = g₁, from funext h,
have ∀ b, f₂ b = g₂ b,
begin
subst h,
assume b,
have hf := λ a, hf a b,
have hg := λ a, hg a b,
cases h : g₂ b with a,
{ simp only [h, option.not_mem_none, false_iff] at hg,
simp only [hg, iff_false] at hf,
rwa [option.eq_none_iff_forall_not_mem] },
{ rw [← option.mem_def, hf, ← hg, h, option.mem_def] }
end,
by simp [*, funext_iff]
lemma ext_iff {f g : α ≃. β} : f = g ↔ ∀ x, f x = g x :=
⟨congr_fun ∘ congr_arg _, ext⟩
@[refl] protected def refl (α : Type*) : α ≃. α :=
{ to_fun := some,
inv_fun := some,
inv := λ _ _, eq_comm }
@[symm] protected def symm (f : α ≃. β) : β ≃. α :=
{ to_fun := f.2,
inv_fun := f.1,
inv := λ _ _, (f.inv _ _).symm }
lemma mem_iff_mem (f : α ≃. β) : ∀ {a : α} {b : β}, a ∈ f.symm b ↔ b ∈ f a := f.3
lemma eq_some_iff (f : α ≃. β) : ∀ {a : α} {b : β}, f.symm b = some a ↔ f a = some b := f.3
@[trans] protected def trans (f : α ≃. β) (g : β ≃. γ) : pequiv α γ :=
{ to_fun := λ a, (f a).bind g,
inv_fun := λ a, (g.symm a).bind f.symm,
inv := λ a b, by simp [*, and.comm, eq_some_iff f, eq_some_iff g] at * }
@[simp] lemma refl_apply (a : α) : pequiv.refl α a = some a := rfl
@[simp] lemma symm_refl : (pequiv.refl α).symm = pequiv.refl α := rfl
@[simp] lemma symm_refl_apply (a : α) : (pequiv.refl α).symm a = some a := rfl
@[simp] lemma symm_symm (f : α ≃. β) : f.symm.symm = f := by cases f; refl
@[simp] lemma symm_symm_apply (f : α ≃. β) (a : α) : f.symm.symm a = f a :=
by rw symm_symm
lemma symm_injective : function.injective (@pequiv.symm α β) :=
injective_of_has_left_inverse ⟨_, symm_symm⟩
lemma trans_assoc (f : α ≃. β) (g : β ≃. γ) (h : γ ≃. δ) :
(f.trans g).trans h = f.trans (g.trans h) :=
ext (λ _, option.bind_assoc _ _ _)
lemma mem_trans (f : α ≃. β) (g : β ≃. γ) (a : α) (c : γ) :
c ∈ f.trans g a ↔ ∃ b, b ∈ f a ∧ c ∈ g b := option.bind_eq_some'
lemma trans_eq_some (f : α ≃. β) (g : β ≃. γ) (a : α) (c : γ) :
f.trans g a = some c ↔ ∃ b, f a = some b ∧ g b = some c := option.bind_eq_some'
lemma trans_eq_none (f : α ≃. β) (g : β ≃. γ) (a : α) :
f.trans g a = none ↔ (∀ b c, b ∉ f a ∨ c ∉ g b) :=
by simp only [eq_none_iff_forall_not_mem, mem_trans]; push_neg; tauto
@[simp] lemma refl_trans (f : α ≃. β) : (pequiv.refl α).trans f = f :=
by ext; dsimp [pequiv.trans]; refl
@[simp] lemma trans_refl (f : α ≃. β) : f.trans (pequiv.refl β) = f :=
by ext; dsimp [pequiv.trans]; simp
@[simp] lemma refl_trans_apply (f : α ≃. β) (a : α) : (pequiv.refl α).trans f a = f a :=
by rw refl_trans
@[simp] lemma trans_refl_apply (f : α ≃. β) (a : α) : f.trans (pequiv.refl β) a = f a :=
by rw trans_refl
protected lemma inj (f : α ≃. β) {a₁ a₂ : α} {b : β} (h₁ : b ∈ f a₁) (h₂ : b ∈ f a₂) : a₁ = a₂ :=
by rw ← mem_iff_mem at *; cases h : f.symm b; simp * at *
lemma injective_of_forall_ne_is_some (f : α ≃. β) (a₂ : α)
(h : ∀ (a₁ : α), a₁ ≠ a₂ → is_some (f a₁)) : injective f :=
injective_of_has_left_inverse
⟨λ b, option.rec_on b a₂ (λ b', option.rec_on (f.symm b') a₂ id),
λ x, begin
classical,
cases hfx : f x,
{ have : x = a₂, from not_imp_comm.1 (h x) (hfx.symm ▸ by simp), simp [this] },
{ simp only [hfx], rw [(eq_some_iff f).2 hfx], refl }
end⟩
lemma injective_of_forall_is_some {f : α ≃. β}
(h : ∀ (a : α), is_some (f a)) : injective f :=
(classical.em (nonempty α)).elim
(λ hn, injective_of_forall_ne_is_some f (classical.choice hn)
(λ a _, h a))
(λ hn x, (hn ⟨x⟩).elim)
section of_set
variables (s : set α) [decidable_pred s]
def of_set (s : set α) [decidable_pred s] : α ≃. α :=
{ to_fun := λ a, if a ∈ s then some a else none,
inv_fun := λ a, if a ∈ s then some a else none,
inv := λ a b, by split_ifs; finish [eq_comm] }
lemma mem_of_set_self_iff {s : set α} [decidable_pred s] {a : α} : a ∈ of_set s a ↔ a ∈ s :=
by dsimp [of_set]; split_ifs; simp *
lemma mem_of_set_iff {s : set α} [decidable_pred s] {a b : α} : a ∈ of_set s b ↔ a = b ∧ a ∈ s :=
by dsimp [of_set]; split_ifs; split; finish
@[simp] lemma of_set_eq_some_iff {s : set α} {h : decidable_pred s} {a b : α} :
of_set s b = some a ↔ a = b ∧ a ∈ s := mem_of_set_iff
@[simp] lemma of_set_eq_some_self_iff {s : set α} {h : decidable_pred s} {a : α} :
of_set s a = some a ↔ a ∈ s := mem_of_set_self_iff
@[simp] lemma of_set_symm : (of_set s).symm = of_set s := rfl
@[simp] lemma of_set_univ : of_set set.univ = pequiv.refl α :=
by ext; dsimp [of_set]; simp [eq_comm]
@[simp] lemma of_set_eq_refl {s : set α} [decidable_pred s] :
of_set s = pequiv.refl α ↔ s = set.univ :=
⟨λ h, begin
rw [set.eq_univ_iff_forall],
intro,
rw [← mem_of_set_self_iff, h],
exact rfl
end, λ h, by simp only [of_set_univ.symm, h]; congr⟩
end of_set
lemma symm_trans_rev (f : α ≃. β) (g : β ≃. γ) : (f.trans g).symm = g.symm.trans f.symm := rfl
lemma trans_symm (f : α ≃. β) : f.trans f.symm = of_set {a | (f a).is_some} :=
begin
ext,
dsimp [pequiv.trans],
simp only [eq_some_iff f, option.is_some_iff_exists, option.mem_def, bind_eq_some', of_set_eq_some_iff],
split,
{ rintros ⟨b, hb₁, hb₂⟩,
exact ⟨pequiv.inj _ hb₂ hb₁, b, hb₂⟩ },
{ simp {contextual := tt} }
end
lemma symm_trans (f : α ≃. β) : f.symm.trans f = of_set {b | (f.symm b).is_some} :=
symm_injective $ by simp [symm_trans_rev, trans_symm, -symm_symm]
lemma trans_symm_eq_iff_forall_is_some {f : α ≃. β} :
f.trans f.symm = pequiv.refl α ↔ ∀ a, is_some (f a) :=
by rw [trans_symm, of_set_eq_refl, set.eq_univ_iff_forall]; refl
instance : has_bot (α ≃. β) :=
⟨{ to_fun := λ _, none,
inv_fun := λ _, none,
inv := by simp }⟩
@[simp] lemma bot_apply (a : α) : (⊥ : α ≃. β) a = none := rfl
@[simp] lemma symm_bot : (⊥ : α ≃. β).symm = ⊥ := rfl
@[simp] lemma trans_bot (f : α ≃. β) : f.trans (⊥ : β ≃. γ) = ⊥ :=
by ext; dsimp [pequiv.trans]; simp
@[simp] lemma bot_trans (f : β ≃. γ) : (⊥ : α ≃. β).trans f = ⊥ :=
by ext; dsimp [pequiv.trans]; simp
lemma is_some_symm_get (f : α ≃. β) {a : α} (h : is_some (f a)) :
is_some (f.symm (option.get h)) :=
is_some_iff_exists.2 ⟨a, by rw [f.eq_some_iff, some_get]⟩
section single
variables [decidable_eq α] [decidable_eq β] [decidable_eq γ]
def single (a : α) (b : β) : α ≃. β :=
{ to_fun := λ x, if x = a then some b else none,
inv_fun := λ x, if x = b then some a else none,
inv := λ _ _, by simp; split_ifs; cc }
lemma mem_single (a : α) (b : β) : b ∈ single a b a := if_pos rfl
lemma mem_single_iff (a₁ a₂ : α) (b₁ b₂ : β) : b₁ ∈ single a₂ b₂ a₁ ↔ a₁ = a₂ ∧ b₁ = b₂ :=
by dsimp [single]; split_ifs; simp [*, eq_comm]
@[simp] lemma symm_single (a : α) (b : β) : (single a b).symm = single b a := rfl
@[simp] lemma single_apply (a : α) (b : β) : single a b a = some b := if_pos rfl
@[simp] lemma symm_single_apply (a : α) (b : β) : (single a b).symm b = some a := by dsimp; simp
lemma single_apply_of_ne {a₁ a₂ : α} (h : a₁ ≠ a₂) (b : β) : single a₁ b a₂ = none := if_neg h.symm
lemma single_trans_of_mem (a : α) {b : β} {c : γ} {f : β ≃. γ} (h : c ∈ f b) :
(single a b).trans f = single a c :=
begin
ext,
dsimp [single, pequiv.trans],
split_ifs; simp * at *
end
lemma trans_single_of_mem {a : α} {b : β} (c : γ) {f : α ≃. β} (h : b ∈ f a) :
f.trans (single b c) = single a c :=
symm_injective $ single_trans_of_mem _ ((mem_iff_mem f).2 h)
@[simp] lemma single_trans_single (a : α) (b : β) (c : γ) : (single a b).trans (single b c) = single a c :=
single_trans_of_mem _ (mem_single _ _)
@[simp] lemma single_subsingleton_eq_refl [subsingleton α] (a b : α) : single a b = pequiv.refl α :=
begin
ext i j,
dsimp [single],
rw [if_pos (subsingleton.elim i a), subsingleton.elim i j, subsingleton.elim b j]
end
lemma trans_single_of_eq_none {b : β} (c : γ) {f : δ ≃. β} (h : f.symm b = none) :
f.trans (single b c) = ⊥ :=
begin
ext,
simp only [eq_none_iff_forall_not_mem, option.mem_def, f.eq_some_iff] at h,
dsimp [pequiv.trans, single],
simp,
intros,
split_ifs;
simp * at *
end
lemma single_trans_of_eq_none (a : α) {b : β} {f : β ≃. δ} (h : f b = none) :
(single a b).trans f = ⊥ :=
symm_injective $ trans_single_of_eq_none _ h
lemma single_trans_single_of_ne {b₁ b₂ : β} (h : b₁ ≠ b₂) (a : α) (c : γ) :
(single a b₁).trans (single b₂ c) = ⊥ :=
single_trans_of_eq_none _ (single_apply_of_ne h.symm _)
end single
section order
instance : partial_order (α ≃. β) :=
{ le := λ f g, ∀ (a : α) (b : β), b ∈ f a → b ∈ g a,
le_refl := λ _ _ _, id,
le_trans := λ f g h fg gh a b, (gh a b) ∘ (fg a b),
le_antisymm := λ f g fg gf, ext begin
assume a,
cases h : g a with b,
{ exact eq_none_iff_forall_not_mem.2
(λ b hb, option.not_mem_none b $ h ▸ fg a b hb) },
{ exact gf _ _ h }
end }
lemma le_def {f g : α ≃. β} : f ≤ g ↔ (∀ (a : α) (b : β), b ∈ f a → b ∈ g a) := iff.rfl
instance : order_bot (α ≃. β) :=
{ bot_le := λ _ _ _ h, (not_mem_none _ h).elim,
..pequiv.partial_order,
..pequiv.has_bot }
instance [decidable_eq α] [decidable_eq β] : semilattice_inf_bot (α ≃. β) :=
{ inf := λ f g,
{ to_fun := λ a, if f a = g a then f a else none,
inv_fun := λ b, if f.symm b = g.symm b then f.symm b else none,
inv := λ a b, begin
have := @mem_iff_mem _ _ f a b,
have := @mem_iff_mem _ _ g a b,
split_ifs; finish
end },
inf_le_left := λ _ _ _ _, by simp; split_ifs; cc,
inf_le_right := λ _ _ _ _, by simp; split_ifs; cc,
le_inf := λ f g h fg gh a b, begin
have := fg a b,
have := gh a b,
simp [le_def],
split_ifs; finish
end,
..pequiv.order_bot }
end order
end pequiv
namespace equiv
variables {α : Type*} {β : Type*} {γ : Type*}
def to_pequiv (f : α ≃ β) : α ≃. β :=
{ to_fun := some ∘ f,
inv_fun := some ∘ f.symm,
inv := by simp [equiv.eq_symm_apply, eq_comm] }
@[simp] lemma to_pequiv_refl : (equiv.refl α).to_pequiv = pequiv.refl α := rfl
lemma to_pequiv_trans (f : α ≃ β) (g : β ≃ γ) : (f.trans g).to_pequiv =
f.to_pequiv.trans g.to_pequiv := rfl
lemma to_pequiv_symm (f : α ≃ β) : f.symm.to_pequiv = f.to_pequiv.symm := rfl
lemma to_pequiv_apply (f : α ≃ β) (x : α) : f.to_pequiv x = some (f x) := rfl
end equiv
|
776466101b7857cc18b61dd70f86db503243c5dc | d406927ab5617694ec9ea7001f101b7c9e3d9702 | /src/number_theory/class_number/admissible_abs.lean | 53bff2817009c5feaf186fa548aba993b16939ab | [
"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 | 2,566 | 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 algebra.algebra.basic
import number_theory.class_number.admissible_absolute_value
/-!
# Admissible absolute value on the integers
This file defines an admissible absolute value `absolute_value.abs_is_admissible`
which we use to show the class number of the ring of integers of a number field
is finite.
## Main results
* `absolute_value.abs_is_admissible` shows the "standard" absolute value on `ℤ`,
mapping negative `x` to `-x`, is admissible.
-/
namespace absolute_value
open int
/-- We can partition a finite family into `partition_card ε` sets, such that the remainders
in each set are close together. -/
lemma exists_partition_int (n : ℕ) {ε : ℝ} (hε : 0 < ε) {b : ℤ} (hb : b ≠ 0) (A : fin n → ℤ) :
∃ (t : fin n → fin ⌈1 / ε⌉₊),
∀ i₀ i₁, t i₀ = t i₁ → ↑(abs (A i₁ % b - A i₀ % b)) < abs b • ε :=
begin
have hb' : (0 : ℝ) < ↑(abs b) := int.cast_pos.mpr (abs_pos.mpr hb),
have hbε : 0 < abs b • ε,
{ rw algebra.smul_def,
exact mul_pos hb' hε },
have hfloor : ∀ i, 0 ≤ floor ((A i % b : ℤ) / (abs b • ε) : ℝ),
{ intro i,
exact floor_nonneg.mpr (div_nonneg (cast_nonneg.mpr (mod_nonneg _ hb)) hbε.le) },
refine ⟨λ i, ⟨nat_abs (floor ((A i % b : ℤ) / (abs b • ε) : ℝ)), _⟩, _⟩,
{ rw [← coe_nat_lt, nat_abs_of_nonneg (hfloor i), floor_lt],
apply lt_of_lt_of_le _ (nat.le_ceil _),
rw [algebra.smul_def, eq_int_cast, ← div_div, div_lt_div_right hε,
div_lt_iff hb', one_mul, cast_lt],
exact int.mod_lt _ hb },
intros i₀ i₁ hi,
have hi : (⌊↑(A i₀ % b) / abs b • ε⌋.nat_abs : ℤ) = ⌊↑(A i₁ % b) / abs b • ε⌋.nat_abs :=
congr_arg (coe : ℕ → ℤ) (fin.mk_eq_mk.mp hi),
rw [nat_abs_of_nonneg (hfloor i₀), nat_abs_of_nonneg (hfloor i₁)] at hi,
have hi := abs_sub_lt_one_of_floor_eq_floor hi,
rw [abs_sub_comm, ← sub_div, abs_div, abs_of_nonneg hbε.le, div_lt_iff hbε, one_mul] at hi,
rwa [int.cast_abs, int.cast_sub]
end
/-- `abs : ℤ → ℤ` is an admissible absolute value -/
noncomputable def abs_is_admissible : is_admissible absolute_value.abs :=
{ card := λ ε, ⌈1 / ε⌉₊,
exists_partition' := λ n ε hε b hb, exists_partition_int n hε hb,
.. absolute_value.abs_is_euclidean }
noncomputable instance : inhabited (is_admissible absolute_value.abs) :=
⟨abs_is_admissible⟩
end absolute_value
|
c2986dddaea982f3bdb116fc2ec61532f10d9fff | 8d65764a9e5f0923a67fc435eb1a5a1d02fd80e3 | /src/number_theory/bernoulli_polynomials.lean | 47398b8ea4b48361a48eac173ff8f4c93c3e05ca | [
"Apache-2.0"
] | permissive | troyjlee/mathlib | e18d4b8026e32062ab9e89bc3b003a5d1cfec3f5 | 45e7eb8447555247246e3fe91c87066506c14875 | refs/heads/master | 1,689,248,035,046 | 1,629,470,528,000 | 1,629,470,528,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 7,088 | lean | /-
Copyright (c) 2021 Ashvni Narayanan. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Ashvni Narayanan
-/
import number_theory.bernoulli
/-!
# Bernoulli polynomials
The Bernoulli polynomials (defined here : https://en.wikipedia.org/wiki/Bernoulli_polynomials)
are an important tool obtained from Bernoulli numbers.
## Mathematical overview
The $n$-th Bernoulli polynomial is defined as
$$ B_n(X) = ∑_{k = 0}^n {n \choose k} (-1)^k * B_k * X^{n - k} $$
where $B_k$ is the $k$-th Bernoulli number. The Bernoulli polynomials are generating functions,
$$ t * e^{tX} / (e^t - 1) = ∑_{n = 0}^{\infty} B_n(X) * \frac{t^n}{n!} $$
## Implementation detail
Bernoulli polynomials are defined using `bernoulli`, the Bernoulli numbers.
## Main theorems
- `sum_bernoulli_poly`: The sum of the $k^\mathrm{th}$ Bernoulli polynomial with binomial
coefficients up to n is `(n + 1) * X^n`.
- `exp_bernoulli_poly`: The Bernoulli polynomials act as generating functions for the exponential.
## TODO
- `bernoulli_poly_eval_one_neg` : $$ B_n(1 - x) = (-1)^n*B_n(x) $$
- ``bernoulli_poly_eval_one` : Follows as a consequence of `bernoulli_poly_eval_one_neg`.
-/
noncomputable theory
open_locale big_operators
open_locale nat
open nat finset
/-- The Bernoulli polynomials are defined in terms of the negative Bernoulli numbers. -/
def bernoulli_poly (n : ℕ) : polynomial ℚ :=
∑ i in range (n + 1), polynomial.monomial (n - i) ((bernoulli i) * (choose n i))
lemma bernoulli_poly_def (n : ℕ) : bernoulli_poly n =
∑ i in range (n + 1), polynomial.monomial i ((bernoulli (n - i)) * (choose n i)) :=
begin
rw [←sum_range_reflect, add_succ_sub_one, add_zero, bernoulli_poly],
apply sum_congr rfl,
rintros x hx,
rw mem_range_succ_iff at hx, rw [choose_symm hx, nat.sub_sub_self hx],
end
namespace bernoulli_poly
/-
### examples
-/
section examples
@[simp] lemma bernoulli_poly_zero : bernoulli_poly 0 = 1 :=
by simp [bernoulli_poly]
@[simp] lemma bernoulli_poly_eval_zero (n : ℕ) : (bernoulli_poly n).eval 0 = bernoulli n :=
begin
rw [bernoulli_poly, polynomial.eval_finset_sum, sum_range_succ],
have : ∑ (x : ℕ) in range n, bernoulli x * (n.choose x) * 0 ^ (n - x) = 0,
{ apply sum_eq_zero (λ x hx, _),
have h : 0 < n - x := nat.sub_pos_of_lt (mem_range.1 hx),
simp [h] },
simp [this],
end
@[simp] lemma bernoulli_poly_eval_one (n : ℕ) : (bernoulli_poly n).eval 1 = bernoulli' n :=
begin
simp only [bernoulli_poly, polynomial.eval_finset_sum],
simp only [←succ_eq_add_one, sum_range_succ, mul_one, cast_one, choose_self,
(bernoulli _).mul_comm, sum_bernoulli, one_pow, mul_one, polynomial.eval_C,
polynomial.eval_monomial],
by_cases h : n = 1,
{ norm_num [h], },
{ simp [h],
exact bernoulli_eq_bernoulli'_of_ne_one h, }
end
end examples
@[simp] theorem sum_bernoulli_poly (n : ℕ) :
∑ k in range (n + 1), ((n + 1).choose k : ℚ) • bernoulli_poly k =
polynomial.monomial n (n + 1 : ℚ) :=
begin
simp_rw [bernoulli_poly_def, finset.smul_sum, finset.range_eq_Ico, ←finset.sum_Ico_Ico_comm,
finset.sum_Ico_eq_sum_range],
simp only [cast_succ, nat.add_sub_cancel_left, nat.sub_zero, zero_add, linear_map.map_add],
simp_rw [polynomial.smul_monomial, mul_comm (bernoulli _) _, smul_eq_mul, ←mul_assoc],
conv_lhs { apply_congr, skip, conv
{ apply_congr, skip,
rw [← nat.cast_mul, choose_mul ((nat.le_sub_left_iff_add_le $ mem_range_le H).1
$ mem_range_le H_1) (le.intro rfl), nat.cast_mul, add_comm x x_1, nat.add_sub_cancel,
mul_assoc, mul_comm, ←smul_eq_mul, ←polynomial.smul_monomial] },
rw [←sum_smul], },
rw [sum_range_succ_comm],
simp only [add_right_eq_self, cast_succ, mul_one, cast_one, cast_add, nat.add_sub_cancel_left,
choose_succ_self_right, one_smul, bernoulli_zero, sum_singleton, zero_add,
linear_map.map_add, range_one],
apply sum_eq_zero (λ x hx, _),
have f : ∀ x ∈ range n, ¬ n + 1 - x = 1,
{ rintros x H, rw [mem_range] at H,
rw [eq_comm],
exact ne_of_lt (nat.lt_of_lt_of_le one_lt_two (nat.le_sub_left_of_add_le (succ_le_succ H))),
},
rw [sum_bernoulli],
have g : (ite (n + 1 - x = 1) (1 : ℚ) 0) = 0,
{ simp only [ite_eq_right_iff, one_ne_zero],
intro h₁,
exact (f x hx) h₁, },
rw [g, zero_smul],
end
open power_series
open polynomial (aeval)
variables {A : Type*} [comm_ring A] [algebra ℚ A]
-- TODO: define exponential generating functions, and use them here
-- This name should probably be updated afterwards
/-- The theorem that `∑ Bₙ(t)X^n/n!)(e^X-1)=Xe^{tX}` -/
theorem exp_bernoulli_poly' (t : A) :
mk (λ n, aeval t ((1 / n! : ℚ) • bernoulli_poly n)) * (exp A - 1) = X * rescale t (exp A) :=
begin
-- check equality of power series by checking coefficients of X^n
ext n,
-- n = 0 case solved by `simp`
cases n, { simp },
-- n ≥ 1, the coefficients is a sum to n+2, so use `sum_range_succ` to write as
-- last term plus sum to n+1
rw [coeff_succ_X_mul, coeff_rescale, coeff_exp, coeff_mul,
nat.sum_antidiagonal_eq_sum_range_succ_mk, sum_range_succ],
-- last term is zero so kill with `add_zero`
simp only [ring_hom.map_sub, nat.sub_self, constant_coeff_one, constant_coeff_exp,
coeff_zero_eq_constant_coeff, mul_zero, sub_self, add_zero],
-- Let's multiply both sides by (n+1)! (OK because it's a unit)
set u : units ℚ := ⟨(n+1)!, (n+1)!⁻¹,
mul_inv_cancel (by exact_mod_cast factorial_ne_zero (n+1)),
inv_mul_cancel (by exact_mod_cast factorial_ne_zero (n+1))⟩ with hu,
rw ←units.mul_right_inj (units.map (algebra_map ℚ A).to_monoid_hom u),
-- now tidy up unit mess and generally do trivial rearrangements
-- to make RHS (n+1)*t^n
rw [units.coe_map, mul_left_comm, ring_hom.to_monoid_hom_eq_coe,
ring_hom.coe_monoid_hom, ←ring_hom.map_mul, hu, units.coe_mk],
change _ = t^n * algebra_map ℚ A (((n+1)*n! : ℕ)*(1/n!)),
rw [cast_mul, mul_assoc, mul_one_div_cancel
(show (n! : ℚ) ≠ 0, from cast_ne_zero.2 (factorial_ne_zero n)), mul_one, mul_comm (t^n),
← polynomial.aeval_monomial, cast_add, cast_one],
-- But this is the RHS of `sum_bernoulli_poly`
rw [← sum_bernoulli_poly, finset.mul_sum, alg_hom.map_sum],
-- and now we have to prove a sum is a sum, but all the terms are equal.
apply finset.sum_congr rfl,
-- The rest is just trivialities, hampered by the fact that we're coercing
-- factorials and binomial coefficients between ℕ and ℚ and A.
intros i hi,
-- deal with coefficients of e^X-1
simp only [nat.cast_choose (mem_range_le hi), coeff_mk,
if_neg (mem_range_sub_ne_zero hi), one_div, alg_hom.map_smul, coeff_one, units.coe_mk,
coeff_exp, sub_zero, linear_map.map_sub, algebra.smul_mul_assoc, algebra.smul_def,
mul_right_comm _ ((aeval t) _), ←mul_assoc, ← ring_hom.map_mul, succ_eq_add_one],
-- finally cancel the Bernoulli polynomial and the algebra_map
congr',
apply congr_arg,
rw [mul_assoc, div_eq_mul_inv, ← mul_inv'],
end
end bernoulli_poly
|
30d9735079a4852e689f7c0bf4830e02fe8a3eb7 | 8cae430f0a71442d02dbb1cbb14073b31048e4b0 | /src/category_theory/limits/shapes/wide_pullbacks.lean | 03cec603eb75f801588ba0d1ba507d5cafae554e | [
"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 | 16,944 | lean | /-
Copyright (c) 2020 Bhavik Mehta. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Bhavik Mehta, Jakob von Raumer
-/
import category_theory.limits.has_limits
import category_theory.thin
/-!
# Wide pullbacks
> THIS FILE IS SYNCHRONIZED WITH MATHLIB4.
> Any changes to this file require a corresponding PR to mathlib4.
We define the category `wide_pullback_shape`, (resp. `wide_pushout_shape`) which is the category
obtained from a discrete category of type `J` by adjoining a terminal (resp. initial) element.
Limits of this shape are wide pullbacks (pushouts).
The convenience method `wide_cospan` (`wide_span`) constructs a functor from this category, hitting
the given morphisms.
We use `wide_pullback_shape` to define ordinary pullbacks (pushouts) by using `J := walking_pair`,
which allows easy proofs of some related lemmas.
Furthermore, wide pullbacks are used to show the existence of limits in the slice category.
Namely, if `C` has wide pullbacks then `C/B` has limits for any object `B` in `C`.
Typeclasses `has_wide_pullbacks` and `has_finite_wide_pullbacks` assert the existence of wide
pullbacks and finite wide pullbacks.
-/
universes w w' v u
open category_theory category_theory.limits opposite
namespace category_theory.limits
variable (J : Type w)
/-- A wide pullback shape for any type `J` can be written simply as `option J`. -/
@[derive inhabited]
def wide_pullback_shape := option J
/-- A wide pushout shape for any type `J` can be written simply as `option J`. -/
@[derive inhabited]
def wide_pushout_shape := option J
namespace wide_pullback_shape
variable {J}
/-- The type of arrows for the shape indexing a wide pullback. -/
@[derive decidable_eq]
inductive hom : wide_pullback_shape J → wide_pullback_shape J → Type w
| id : Π X, hom X X
| term : Π (j : J), hom (some j) none
attribute [nolint unused_arguments] hom.decidable_eq
instance struct : category_struct (wide_pullback_shape J) :=
{ hom := hom,
id := λ j, hom.id j,
comp := λ j₁ j₂ j₃ f g,
begin
cases f,
exact g,
cases g,
apply hom.term _
end }
instance hom.inhabited : inhabited (hom none none) := ⟨hom.id (none : wide_pullback_shape J)⟩
local attribute [tidy] tactic.case_bash
instance subsingleton_hom : quiver.is_thin (wide_pullback_shape J) :=
λ _ _, ⟨by tidy⟩
instance category : small_category (wide_pullback_shape J) := thin_category
@[simp] lemma hom_id (X : wide_pullback_shape J) : hom.id X = 𝟙 X := rfl
variables {C : Type u} [category.{v} C]
/--
Construct a functor out of the wide pullback shape given a J-indexed collection of arrows to a
fixed object.
-/
@[simps]
def wide_cospan (B : C) (objs : J → C) (arrows : Π (j : J), objs j ⟶ B) :
wide_pullback_shape J ⥤ C :=
{ obj := λ j, option.cases_on j B objs,
map := λ X Y f,
begin
cases f with _ j,
{ apply (𝟙 _) },
{ exact arrows j }
end,
map_comp' := λ _ _ _ f g,
begin
cases f,
{ simpa },
cases g,
simp
end }
/-- Every diagram is naturally isomorphic (actually, equal) to a `wide_cospan` -/
def diagram_iso_wide_cospan (F : wide_pullback_shape J ⥤ C) :
F ≅ wide_cospan (F.obj none) (λ j, F.obj (some j)) (λ j, F.map (hom.term j)) :=
nat_iso.of_components (λ j, eq_to_iso $ by tidy) $ by tidy
/-- Construct a cone over a wide cospan. -/
@[simps]
def mk_cone {F : wide_pullback_shape J ⥤ C} {X : C}
(f : X ⟶ F.obj none) (π : Π j, X ⟶ F.obj (some j))
(w : ∀ j, π j ≫ F.map (hom.term j) = f) : cone F :=
{ X := X,
π :=
{ app := λ j, match j with
| none := f
| (some j) := π j
end,
naturality' := λ j j' f, by { cases j; cases j'; cases f; unfold_aux; dsimp; simp [w], }, } }
/-- Wide pullback diagrams of equivalent index types are equivlent. -/
def equivalence_of_equiv (J' : Type w') (h : J ≃ J') :
wide_pullback_shape J ≌ wide_pullback_shape J' :=
{ functor := wide_cospan none (λ j, some (h j)) (λ j, hom.term (h j)),
inverse := wide_cospan none (λ j, some (h.inv_fun j)) (λ j, hom.term (h.inv_fun j)),
unit_iso := nat_iso.of_components (λ j, by cases j; simp)
(λ j k f, by { simp only [eq_iff_true_of_subsingleton]}),
counit_iso := nat_iso.of_components (λ j, by cases j; simp)
(λ j k f, by { simp only [eq_iff_true_of_subsingleton]}) }
/-- Lifting universe and morphism levels preserves wide pullback diagrams. -/
def ulift_equivalence :
ulift_hom.{w'} (ulift.{w'} (wide_pullback_shape J)) ≌ wide_pullback_shape (ulift J) :=
(ulift_hom_ulift_category.equiv.{w' w' w w} (wide_pullback_shape J)).symm.trans
(equivalence_of_equiv _ (equiv.ulift.{w' w}.symm : J ≃ ulift.{w'} J))
end wide_pullback_shape
namespace wide_pushout_shape
variable {J}
/-- The type of arrows for the shape indexing a wide psuhout. -/
@[derive decidable_eq]
inductive hom : wide_pushout_shape J → wide_pushout_shape J → Type w
| id : Π X, hom X X
| init : Π (j : J), hom none (some j)
attribute [nolint unused_arguments] hom.decidable_eq
instance struct : category_struct (wide_pushout_shape J) :=
{ hom := hom,
id := λ j, hom.id j,
comp := λ j₁ j₂ j₃ f g,
begin
cases f,
exact g,
cases g,
apply hom.init _
end }
instance hom.inhabited : inhabited (hom none none) := ⟨hom.id (none : wide_pushout_shape J)⟩
local attribute [tidy] tactic.case_bash
instance subsingleton_hom : quiver.is_thin (wide_pushout_shape J) :=
λ _ _, ⟨by tidy⟩
instance category : small_category (wide_pushout_shape J) := thin_category
@[simp] lemma hom_id (X : wide_pushout_shape J) : hom.id X = 𝟙 X := rfl
variables {C : Type u} [category.{v} C]
/--
Construct a functor out of the wide pushout shape given a J-indexed collection of arrows from a
fixed object.
-/
@[simps]
def wide_span (B : C) (objs : J → C) (arrows : Π (j : J), B ⟶ objs j) : wide_pushout_shape J ⥤ C :=
{ obj := λ j, option.cases_on j B objs,
map := λ X Y f,
begin
cases f with _ j,
{ apply (𝟙 _) },
{ exact arrows j }
end,
map_comp' := by { rintros (_|_) (_|_) (_|_) (_|_) (_|_); simpa <|> simp } }
/-- Every diagram is naturally isomorphic (actually, equal) to a `wide_span` -/
def diagram_iso_wide_span (F : wide_pushout_shape J ⥤ C) :
F ≅ wide_span (F.obj none) (λ j, F.obj (some j)) (λ j, F.map (hom.init j)) :=
nat_iso.of_components (λ j, eq_to_iso $ by tidy) $ by tidy
/-- Construct a cocone over a wide span. -/
@[simps]
def mk_cocone {F : wide_pushout_shape J ⥤ C} {X : C}
(f : F.obj none ⟶ X) (ι : Π j, F.obj (some j) ⟶ X)
(w : ∀ j, F.map (hom.init j) ≫ ι j = f) : cocone F :=
{ X := X,
ι :=
{ app := λ j, match j with
| none := f
| (some j) := ι j
end,
naturality' := λ j j' f, by { cases j; cases j'; cases f; unfold_aux; dsimp; simp [w], }, } }
end wide_pushout_shape
variables (C : Type u) [category.{v} C]
/-- `has_wide_pullbacks` represents a choice of wide pullback for every collection of morphisms -/
abbreviation has_wide_pullbacks : Prop :=
Π (J : Type w), has_limits_of_shape (wide_pullback_shape J) C
/-- `has_wide_pushouts` represents a choice of wide pushout for every collection of morphisms -/
abbreviation has_wide_pushouts : Prop :=
Π (J : Type w), has_colimits_of_shape (wide_pushout_shape J) C
variables {C J}
/-- `has_wide_pullback B objs arrows` means that `wide_cospan B objs arrows` has a limit. -/
abbreviation has_wide_pullback (B : C) (objs : J → C)
(arrows : Π (j : J), objs j ⟶ B) : Prop :=
has_limit (wide_pullback_shape.wide_cospan B objs arrows)
/-- `has_wide_pushout B objs arrows` means that `wide_span B objs arrows` has a colimit. -/
abbreviation has_wide_pushout (B : C) (objs : J → C)
(arrows : Π (j : J), B ⟶ objs j) : Prop :=
has_colimit (wide_pushout_shape.wide_span B objs arrows)
/-- A choice of wide pullback. -/
noncomputable
abbreviation wide_pullback (B : C) (objs : J → C) (arrows : Π (j : J), objs j ⟶ B)
[has_wide_pullback B objs arrows] : C :=
limit (wide_pullback_shape.wide_cospan B objs arrows)
/-- A choice of wide pushout. -/
noncomputable
abbreviation wide_pushout (B : C) (objs : J → C) (arrows : Π (j : J), B ⟶ objs j)
[has_wide_pushout B objs arrows] : C :=
colimit (wide_pushout_shape.wide_span B objs arrows)
variable (C)
namespace wide_pullback
variables {C} {B : C} {objs : J → C} (arrows : Π (j : J), objs j ⟶ B)
variables [has_wide_pullback B objs arrows]
/-- The `j`-th projection from the pullback. -/
noncomputable
abbreviation π (j : J) : wide_pullback _ _ arrows ⟶ objs j :=
limit.π (wide_pullback_shape.wide_cospan _ _ _) (option.some j)
/-- The unique map to the base from the pullback. -/
noncomputable
abbreviation base : wide_pullback _ _ arrows ⟶ B :=
limit.π (wide_pullback_shape.wide_cospan _ _ _) option.none
@[simp, reassoc]
lemma π_arrow (j : J) : π arrows j ≫ arrows _ = base arrows :=
by apply limit.w (wide_pullback_shape.wide_cospan _ _ _) (wide_pullback_shape.hom.term j)
variables {arrows}
/-- Lift a collection of morphisms to a morphism to the pullback. -/
noncomputable
abbreviation lift {X : C} (f : X ⟶ B) (fs : Π (j : J), X ⟶ objs j)
(w : ∀ j, fs j ≫ arrows j = f) : X ⟶ wide_pullback _ _ arrows :=
limit.lift (wide_pullback_shape.wide_cospan _ _ _)
(wide_pullback_shape.mk_cone f fs $ by exact w)
variables (arrows)
variables {X : C} (f : X ⟶ B) (fs : Π (j : J), X ⟶ objs j)
(w : ∀ j, fs j ≫ arrows j = f)
@[simp, reassoc]
lemma lift_π (j : J) : lift f fs w ≫ π arrows j = fs _ :=
by { simp, refl }
@[simp, reassoc]
lemma lift_base : lift f fs w ≫ base arrows = f :=
by { simp, refl }
lemma eq_lift_of_comp_eq (g : X ⟶ wide_pullback _ _ arrows) :
(∀ j : J, g ≫ π arrows j = fs j) → g ≫ base arrows = f → g = lift f fs w :=
begin
intros h1 h2,
apply (limit.is_limit (wide_pullback_shape.wide_cospan B objs arrows)).uniq
(wide_pullback_shape.mk_cone f fs $ by exact w),
rintro (_|_),
{ apply h2 },
{ apply h1 }
end
lemma hom_eq_lift (g : X ⟶ wide_pullback _ _ arrows) :
g = lift (g ≫ base arrows) (λ j, g ≫ π arrows j) (by tidy) :=
begin
apply eq_lift_of_comp_eq,
tidy,
end
@[ext]
lemma hom_ext (g1 g2 : X ⟶ wide_pullback _ _ arrows) :
(∀ j : J, g1 ≫ π arrows j = g2 ≫ π arrows j) →
g1 ≫ base arrows = g2 ≫ base arrows → g1 = g2 :=
begin
intros h1 h2,
apply limit.hom_ext,
rintros (_|_),
{ apply h2 },
{ apply h1 },
end
end wide_pullback
namespace wide_pushout
variables {C} {B : C} {objs : J → C} (arrows : Π (j : J), B ⟶ objs j)
variables [has_wide_pushout B objs arrows]
/-- The `j`-th inclusion to the pushout. -/
noncomputable
abbreviation ι (j : J) : objs j ⟶ wide_pushout _ _ arrows :=
colimit.ι (wide_pushout_shape.wide_span _ _ _) (option.some j)
/-- The unique map from the head to the pushout. -/
noncomputable
abbreviation head : B ⟶ wide_pushout B objs arrows :=
colimit.ι (wide_pushout_shape.wide_span _ _ _) option.none
@[simp, reassoc]
lemma arrow_ι (j : J) : arrows j ≫ ι arrows j = head arrows :=
by apply colimit.w (wide_pushout_shape.wide_span _ _ _) (wide_pushout_shape.hom.init j)
variables {arrows}
/-- Descend a collection of morphisms to a morphism from the pushout. -/
noncomputable
abbreviation desc {X : C} (f : B ⟶ X) (fs : Π (j : J), objs j ⟶ X)
(w : ∀ j, arrows j ≫ fs j = f) : wide_pushout _ _ arrows ⟶ X :=
colimit.desc (wide_pushout_shape.wide_span B objs arrows)
(wide_pushout_shape.mk_cocone f fs $ by exact w)
variables (arrows)
variables {X : C} (f : B ⟶ X) (fs : Π (j : J), objs j ⟶ X)
(w : ∀ j, arrows j ≫ fs j = f)
@[simp, reassoc]
lemma ι_desc (j : J) : ι arrows j ≫ desc f fs w = fs _ :=
by { simp, refl }
@[simp, reassoc]
lemma head_desc : head arrows ≫ desc f fs w = f :=
by { simp, refl }
lemma eq_desc_of_comp_eq (g : wide_pushout _ _ arrows ⟶ X) :
(∀ j : J, ι arrows j ≫ g = fs j) → head arrows ≫ g = f → g = desc f fs w :=
begin
intros h1 h2,
apply (colimit.is_colimit (wide_pushout_shape.wide_span B objs arrows)).uniq
(wide_pushout_shape.mk_cocone f fs $ by exact w),
rintro (_|_),
{ apply h2 },
{ apply h1 }
end
lemma hom_eq_desc (g : wide_pushout _ _ arrows ⟶ X) :
g = desc (head arrows ≫ g) (λ j, ι arrows j ≫ g) (λ j, by { rw ← category.assoc, simp }) :=
begin
apply eq_desc_of_comp_eq,
tidy,
end
@[ext]
lemma hom_ext (g1 g2 : wide_pushout _ _ arrows ⟶ X) :
(∀ j : J, ι arrows j ≫ g1 = ι arrows j ≫ g2) →
head arrows ≫ g1 = head arrows ≫ g2 → g1 = g2 :=
begin
intros h1 h2,
apply colimit.hom_ext,
rintros (_|_),
{ apply h2 },
{ apply h1 },
end
end wide_pushout
variable (J)
/-- The action on morphisms of the obvious functor
`wide_pullback_shape_op : wide_pullback_shape J ⥤ (wide_pushout_shape J)ᵒᵖ`-/
def wide_pullback_shape_op_map : Π (X Y : wide_pullback_shape J),
(X ⟶ Y) → ((op X : (wide_pushout_shape J)ᵒᵖ) ⟶ (op Y : (wide_pushout_shape J)ᵒᵖ))
| _ _ (wide_pullback_shape.hom.id X) := quiver.hom.op (wide_pushout_shape.hom.id _)
| _ _ (wide_pullback_shape.hom.term j) := quiver.hom.op (wide_pushout_shape.hom.init _)
/-- The obvious functor `wide_pullback_shape J ⥤ (wide_pushout_shape J)ᵒᵖ` -/
@[simps]
def wide_pullback_shape_op : wide_pullback_shape J ⥤ (wide_pushout_shape J)ᵒᵖ :=
{ obj := λ X, op X,
map := wide_pullback_shape_op_map J, }
/-- The action on morphisms of the obvious functor
`wide_pushout_shape_op : `wide_pushout_shape J ⥤ (wide_pullback_shape J)ᵒᵖ` -/
def wide_pushout_shape_op_map : Π (X Y : wide_pushout_shape J),
(X ⟶ Y) → ((op X : (wide_pullback_shape J)ᵒᵖ) ⟶ (op Y : (wide_pullback_shape J)ᵒᵖ))
| _ _ (wide_pushout_shape.hom.id X) := quiver.hom.op (wide_pullback_shape.hom.id _)
| _ _ (wide_pushout_shape.hom.init j) := quiver.hom.op (wide_pullback_shape.hom.term _)
/-- The obvious functor `wide_pushout_shape J ⥤ (wide_pullback_shape J)ᵒᵖ` -/
@[simps]
def wide_pushout_shape_op : wide_pushout_shape J ⥤ (wide_pullback_shape J)ᵒᵖ :=
{ obj := λ X, op X,
map := wide_pushout_shape_op_map J, }
/-- The obvious functor `(wide_pullback_shape J)ᵒᵖ ⥤ wide_pushout_shape J`-/
@[simps]
def wide_pullback_shape_unop : (wide_pullback_shape J)ᵒᵖ ⥤ wide_pushout_shape J :=
(wide_pullback_shape_op J).left_op
/-- The obvious functor `(wide_pushout_shape J)ᵒᵖ ⥤ wide_pullback_shape J` -/
@[simps]
def wide_pushout_shape_unop : (wide_pushout_shape J)ᵒᵖ ⥤ wide_pullback_shape J :=
(wide_pushout_shape_op J).left_op
/-- The inverse of the unit isomorphism of the equivalence
`wide_pushout_shape_op_equiv : (wide_pushout_shape J)ᵒᵖ ≌ wide_pullback_shape J` -/
def wide_pushout_shape_op_unop : wide_pushout_shape_unop J ⋙ wide_pullback_shape_op J ≅ 𝟭 _ :=
nat_iso.of_components (λ X, iso.refl _) (λ X Y f, dec_trivial)
/-- The counit isomorphism of the equivalence
`wide_pullback_shape_op_equiv : (wide_pullback_shape J)ᵒᵖ ≌ wide_pushout_shape J` -/
def wide_pushout_shape_unop_op : wide_pushout_shape_op J ⋙ wide_pullback_shape_unop J ≅ 𝟭 _ :=
nat_iso.of_components (λ X, iso.refl _) (λ X Y f, dec_trivial)
/-- The inverse of the unit isomorphism of the equivalence
`wide_pullback_shape_op_equiv : (wide_pullback_shape J)ᵒᵖ ≌ wide_pushout_shape J` -/
def wide_pullback_shape_op_unop : wide_pullback_shape_unop J ⋙ wide_pushout_shape_op J ≅ 𝟭 _ :=
nat_iso.of_components (λ X, iso.refl _) (λ X Y f, dec_trivial)
/-- The counit isomorphism of the equivalence
`wide_pushout_shape_op_equiv : (wide_pushout_shape J)ᵒᵖ ≌ wide_pullback_shape J` -/
def wide_pullback_shape_unop_op : wide_pullback_shape_op J ⋙ wide_pushout_shape_unop J ≅ 𝟭 _ :=
nat_iso.of_components (λ X, iso.refl _) (λ X Y f, dec_trivial)
/-- The duality equivalence `(wide_pushout_shape J)ᵒᵖ ≌ wide_pullback_shape J` -/
@[simps]
def wide_pushout_shape_op_equiv : (wide_pushout_shape J)ᵒᵖ ≌ wide_pullback_shape J :=
{ functor := wide_pushout_shape_unop J,
inverse := wide_pullback_shape_op J,
unit_iso := (wide_pushout_shape_op_unop J).symm,
counit_iso := wide_pullback_shape_unop_op J, }
/-- The duality equivalence `(wide_pullback_shape J)ᵒᵖ ≌ wide_pushout_shape J` -/
@[simps]
def wide_pullback_shape_op_equiv : (wide_pullback_shape J)ᵒᵖ ≌ wide_pushout_shape J :=
{ functor := wide_pullback_shape_unop J,
inverse := wide_pushout_shape_op J,
unit_iso := (wide_pullback_shape_op_unop J).symm,
counit_iso := wide_pushout_shape_unop_op J, }
/-- If a category has wide pullbacks on a higher universe level it also has wide pullbacks
on a lower universe level. -/
lemma has_wide_pullbacks_shrink [has_wide_pullbacks.{max w w'} C] : has_wide_pullbacks.{w} C :=
λ J, has_limits_of_shape_of_equivalence
(wide_pullback_shape.equivalence_of_equiv _ equiv.ulift.{w'})
end category_theory.limits
|
2e429baceb7231d1d2234d9d608bdbe41f69494b | 0845ae2ca02071debcfd4ac24be871236c01784f | /tests/bench/rbmap2.lean | b90acd7802728e26ea0372f2bbf1ac5c9e1943be | [
"Apache-2.0"
] | permissive | GaloisInc/lean4 | 74c267eb0e900bfaa23df8de86039483ecbd60b7 | 228ddd5fdcd98dd4e9c009f425284e86917938aa | refs/heads/master | 1,643,131,356,301 | 1,562,715,572,000 | 1,562,715,572,000 | 192,390,898 | 0 | 0 | null | 1,560,792,750,000 | 1,560,792,749,000 | null | UTF-8 | Lean | false | false | 2,899 | lean | /-
Copyright (c) 2017 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Leonardo de Moura
-/
prelude
import init.data.ordering.basic init.coe init.data.option.basic init.io
universes u v w w'
inductive color
| Red | Black
inductive Tree
| Leaf {} : Tree
| Node (color : color) (lchild : Tree) (key : Nat) (val : Bool) (rchild : Tree) : Tree
variables {σ : Type w}
open color Nat Tree
def fold (f : Nat → Bool → σ → σ) : Tree → σ → σ
| Leaf b := b
| (Node _ l k v r) b := fold r (f k v (fold l b))
def balance1 : Tree → Tree → Tree
| (Node _ _ kv vv t) (Node _ (Node Red l kx vx r₁) ky vy r₂) := Node Red (Node Black l kx vx r₁) ky vy (Node Black r₂ kv vv t)
| (Node _ _ kv vv t) (Node _ l₁ ky vy (Node Red l₂ kx vx r)) := Node Red (Node Black l₁ ky vy l₂) kx vx (Node Black r kv vv t)
| (Node _ _ kv vv t) (Node _ l ky vy r) := Node Black (Node Red l ky vy r) kv vv t
| _ _ := Leaf
def balance2 : Tree → Tree → Tree
| (Node _ t kv vv _) (Node _ (Node Red l kx₁ vx₁ r₁) ky vy r₂) := Node Red (Node Black t kv vv l) kx₁ vx₁ (Node Black r₁ ky vy r₂)
| (Node _ t kv vv _) (Node _ l₁ ky vy (Node Red l₂ kx₂ vx₂ r₂)) := Node Red (Node Black t kv vv l₁) ky vy (Node Black l₂ kx₂ vx₂ r₂)
| (Node _ t kv vv _) (Node _ l ky vy r) := Node Black t kv vv (Node Red l ky vy r)
| _ _ := Leaf
def isRed : Tree → Bool
| (Node Red _ _ _ _) := true
| _ := false
def ins : Tree → Nat → Bool → Tree
| Leaf kx vx := Node Red Leaf kx vx Leaf
| (Node Red a ky vy b) kx vx :=
(if kx < ky then Node Red (ins a kx vx) ky vy b
else if kx = ky then Node Red a kx vx b
else Node Red a ky vy (ins b kx vx))
| (Node Black a ky vy b) kx vx :=
if kx < ky then
(if isRed a then balance1 (Node Black Leaf ky vy b) (ins a kx vx)
else Node Black (ins a kx vx) ky vy b)
else if kx = ky then Node Black a kx vx b
else if isRed b then balance2 (Node Black a ky vy Leaf) (ins b kx vx)
else Node Black a ky vy (ins b kx vx)
def setBlack : Tree → Tree
| (Node _ l k v r) := Node Black l k v r
| e := e
def insert (t : Tree) (k : Nat) (v : Bool) : Tree :=
if isRed t then setBlack (ins t k v)
else ins t k v
def mkMapAux : Nat → Tree → Tree
| 0 m := m
| (n+1) m := mkMapAux n (insert m n (n % 10 = 0))
def mkMap (n : Nat) :=
mkMapAux n Leaf
def main (xs : List String) : IO UInt32 :=
let m := mkMap xs.head.toNat;
let v := fold (fun (k : Nat) (v : Bool) (r : Nat) => if v then r + 1 else r) m 0;
IO.println (toString v) *>
pure 0
|
9513a7e2f9202f6bd34475a5f7ab597f3664f7b8 | 55c7fc2bf55d496ace18cd6f3376e12bb14c8cc5 | /src/ring_theory/matrix_algebra.lean | 63221f7c909f7b950c746aa9c7decb6497d5be3a | [
"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 | 6,718 | 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 ring_theory.tensor_product
/-!
We provide the `R`-algebra structure on `matrix n n A` when `A` is an `R`-algebra,
and show `matrix n n A ≃ₐ[R] (A ⊗[R] matrix n n R)`.
-/
universes u v w
open_locale tensor_product
open_locale big_operators
open tensor_product
open algebra.tensor_product
open matrix
variables {R : Type u} [comm_semiring R]
variables {A : Type v} [semiring A] [algebra R A]
variables {n : Type w} [fintype n]
section
variables [decidable_eq n]
instance : algebra R (matrix n n A) :=
{ commutes' := λ r x,
begin ext, simp [matrix.scalar, matrix.mul_val, matrix.one_val, algebra.commutes], end,
smul_def' := λ r x, begin ext, simp [matrix.scalar, algebra.smul_def'' r], end,
..((matrix.scalar n).comp (algebra_map R A)) }
lemma algebra_map_matrix_val {r : R} {i j : n} :
algebra_map R (matrix n n A) r i j = if i = j then algebra_map R A r else 0 :=
begin
dsimp [algebra_map, algebra.to_ring_hom, matrix.scalar],
split_ifs with h; simp [h, matrix.one_val_ne],
end
end
variables (R A n)
namespace matrix_equiv_tensor
/--
(Implementation detail).
The bare function underlying `(A ⊗[R] matrix n n R) →ₐ[R] matrix n n A`, on pure tensors.
-/
def to_fun (a : A) (m : matrix n n R) : matrix n n A :=
λ i j, a * algebra_map R A (m i j)
/--
(Implementation detail).
The function underlying `(A ⊗[R] matrix n n R) →ₐ[R] matrix n n A`,
as an `R`-linear map in the second tensor factor.
-/
def to_fun_right_linear (a : A) : matrix n n R →ₗ[R] matrix n n A :=
{ to_fun := to_fun R A n a,
map_add' := λ x y, by { dsimp only [to_fun], ext, simp [mul_add], },
map_smul' := λ r x,
begin
dsimp only [to_fun],
ext,
simp only [matrix.smul_val, pi.smul_apply, ring_hom.map_mul,
algebra.id.smul_eq_mul, ring_hom.map_mul],
rw [algebra.smul_def r, ←_root_.mul_assoc, ←_root_.mul_assoc, algebra.commutes],
end, }
/--
(Implementation detail).
The function underlying `(A ⊗[R] matrix n n R) →ₐ[R] matrix n n A`,
as an `R`-bilinear map.
-/
def to_fun_bilinear : A →ₗ[R] matrix n n R →ₗ[R] matrix n n A :=
{ to_fun := to_fun_right_linear R A n,
map_add' := λ x y, by { ext, simp [to_fun_right_linear, to_fun, add_mul], },
map_smul' := λ r x, by { ext, simp [to_fun_right_linear, to_fun] }, }
/--
(Implementation detail).
The function underlying `(A ⊗[R] matrix n n R) →ₐ[R] matrix n n A`,
as an `R`-linear map.
-/
def to_fun_linear : A ⊗[R] matrix n n R →ₗ[R] matrix n n A :=
tensor_product.lift (to_fun_bilinear R A n)
variables [decidable_eq n]
/--
The function `(A ⊗[R] matrix n n R) →ₐ[R] matrix n n A`, as an algebra homomorphism.
-/
def to_fun_alg_hom : (A ⊗[R] matrix n n R) →ₐ[R] matrix n n A :=
alg_hom_of_linear_map_tensor_product
(to_fun_linear R A n)
begin
intros, ext,
simp_rw [to_fun_linear, to_fun_bilinear, lift.tmul],
dsimp,
simp_rw [to_fun_right_linear],
dsimp,
simp_rw [to_fun, matrix.mul_mul_left, matrix.smul_val, matrix.mul_val, ←_root_.mul_assoc _ a₂ _,
algebra.commutes, _root_.mul_assoc a₂ _ _, ←finset.mul_sum, ring_hom.map_sum, ring_hom.map_mul,
_root_.mul_assoc],
end
begin
intros, ext,
simp only [to_fun_linear, to_fun_bilinear, to_fun_right_linear, to_fun, matrix.one_val,
algebra_map_matrix_val, lift.tmul, linear_map.coe_mk],
split_ifs; simp,
end
@[simp] lemma to_fun_alg_hom_apply (a : A) (m : matrix n n R) :
to_fun_alg_hom R A n (a ⊗ₜ m) = λ i j, a * algebra_map R A (m i j) :=
begin
simp [to_fun_alg_hom, alg_hom_of_linear_map_tensor_product, to_fun_linear],
refl,
end
/--
(Implementation detail.)
The bare function `matrix n n A → A ⊗[R] matrix n n R`.
(We don't need to show that it's an algebra map, thankfully --- just that it's an inverse.)
-/
def inv_fun (M : matrix n n A) : A ⊗[R] matrix n n R :=
∑ (p : n × n), M p.1 p.2 ⊗ₜ (std_basis_matrix p.1 p.2 1)
@[simp] lemma inv_fun_zero : inv_fun R A n 0 = 0 :=
by simp [inv_fun]
@[simp] lemma inv_fun_add (M N : matrix n n A) :
inv_fun R A n (M + N) = inv_fun R A n M + inv_fun R A n N :=
by simp [inv_fun, add_tmul, finset.sum_add_distrib]
@[simp] lemma inv_fun_smul (a : A) (M : matrix n n A) :
inv_fun R A n (λ i j, a * M i j) = (a ⊗ₜ 1) * inv_fun R A n M :=
by simp [inv_fun,finset.mul_sum]
@[simp] lemma inv_fun_algebra_map (M : matrix n n R) :
inv_fun R A n (λ i j, algebra_map R A (M i j)) = 1 ⊗ₜ M :=
begin
dsimp [inv_fun],
simp only [algebra.algebra_map_eq_smul_one, smul_tmul, ←tmul_sum, mul_boole],
congr,
conv_rhs {rw matrix_eq_sum_std_basis M},
convert finset.sum_product, simp,
end
lemma right_inv (M : matrix n n A) : (to_fun_alg_hom R A n) (inv_fun R A n M) = M :=
begin
simp only [inv_fun, alg_hom.map_sum, std_basis_matrix, apply_ite ⇑(algebra_map R A),
mul_boole, to_fun_alg_hom_apply, ring_hom.map_zero, ring_hom.map_one],
convert finset.sum_product, apply matrix_eq_sum_std_basis,
end
lemma left_inv (M : A ⊗[R] matrix n n R) : inv_fun R A n (to_fun_alg_hom R A n M) = M :=
begin
apply tensor_product.induction_on M,
{ simp, },
{ intros a m, simp, },
{ intros x y hx hy, simp [alg_hom.map_sum, hx, hy], },
end
/--
(Implementation detail)
The equivalence, ignoring the algebra structure, `(A ⊗[R] matrix n n R) ≃ matrix n n A`.
-/
def equiv : (A ⊗[R] matrix n n R) ≃ matrix n n A :=
{ to_fun := to_fun_alg_hom R A n,
inv_fun := inv_fun R A n,
left_inv := left_inv R A n,
right_inv := right_inv R A n, }
end matrix_equiv_tensor
variables [decidable_eq n]
/--
The `R`-algebra isomorphism `matrix n n A ≃ₐ[R] (A ⊗[R] matrix n n R)`.
-/
def matrix_equiv_tensor : matrix n n A ≃ₐ[R] (A ⊗[R] matrix n n R) :=
alg_equiv.symm { ..(matrix_equiv_tensor.to_fun_alg_hom R A n), ..(matrix_equiv_tensor.equiv R A n) }
open matrix_equiv_tensor
@[simp] lemma matrix_equiv_tensor_apply (M : matrix n n A) :
matrix_equiv_tensor R A n M =
∑ (p : n × n), M p.1 p.2 ⊗ₜ (std_basis_matrix p.1 p.2 1) :=
rfl
@[simp] lemma matrix_equiv_tensor_apply_std_basis (i j : n) (x : A):
matrix_equiv_tensor R A n (std_basis_matrix i j x) =
x ⊗ₜ (std_basis_matrix i j 1) :=
begin
have t : ∀ (p : n × n), (p.1 = i ∧ p.2 = j) ↔ (p = (i, j)) := by tidy,
simp [ite_tmul, t, std_basis_matrix],
end
@[simp] lemma matrix_equiv_tensor_apply_symm (a : A) (M : matrix n n R) :
(matrix_equiv_tensor R A n).symm (a ⊗ₜ M) =
λ i j, a * algebra_map R A (M i j) :=
begin
simp [matrix_equiv_tensor, to_fun_alg_hom, alg_hom_of_linear_map_tensor_product, to_fun_linear],
refl,
end
|
9d3fbc747adac3ac5ae0f01a3090392c3b819063 | b7f22e51856f4989b970961f794f1c435f9b8f78 | /tests/lean/run/record10.lean | 00aa05c003b264cb10d628ceac1dc8f3697e6eb8 | [
"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 | 578 | lean | import logic
structure semigroup [class] (A : Type) extends has_mul A :=
(assoc : ∀ a b c, mul (mul a b) c = mul a (mul b c))
print prefix semigroup
print "======================="
structure has_two_muls [class] (A : Type) extends has_mul A renaming mul→mul1,
private has_mul A renaming mul→mul2
print prefix has_two_muls
print "======================="
structure another_two_muls [class] (A : Type) extends has_mul A renaming mul→mul1,
has_mul A renaming mul→mul2
|
30a68e50d58a1a9062e03731ef6fdde1fcb8be76 | 6432ea7a083ff6ba21ea17af9ee47b9c371760f7 | /tests/bench/rbmap2.lean | 6a1d928574c438eb548c54b18761b0beb0c62d29 | [
"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 | 2,897 | lean | /-
Copyright (c) 2017 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Leonardo de Moura
-/
prelude
import init.coe init.data.option.basic init.system.io
universe u v w w'
inductive color
| Red | Black
inductive Tree
| Leaf {} : Tree
| Node (color : color) (lchild : Tree) (key : Nat) (val : Bool) (rchild : Tree) : Tree
variable {σ : Type w}
open color Nat Tree
def fold (f : Nat → Bool → σ → σ) : Tree → σ → σ
| Leaf, b => b
| Node _ l k v r, b => fold r (f k v (fold l b))
def balance1 : Tree → Tree → Tree
| Node _ _ kv vv t, Node _ (Node Red l kx vx r₁) ky vy r₂ => Node Red (Node Black l kx vx r₁) ky vy (Node Black r₂ kv vv t)
| Node _ _ kv vv t, Node _ l₁ ky vy (Node Red l₂ kx vx r) => Node Red (Node Black l₁ ky vy l₂) kx vx (Node Black r kv vv t)
| Node _ _ kv vv t, Node _ l ky vy r => Node Black (Node Red l ky vy r) kv vv t
| _, _ => Leaf
def balance2 : Tree → Tree → Tree
| Node _ t kv vv _, Node _ (Node Red l kx₁ vx₁ r₁) ky vy r₂ => Node Red (Node Black t kv vv l) kx₁ vx₁ (Node Black r₁ ky vy r₂)
| Node _ t kv vv _, Node _ l₁ ky vy (Node Red l₂ kx₂ vx₂ r₂) => Node Red (Node Black t kv vv l₁) ky vy (Node Black l₂ kx₂ vx₂ r₂)
| Node _ t kv vv _, Node _ l ky vy r => Node Black t kv vv (Node Red l ky vy r)
| _, _ => Leaf
def isRed : Tree → Bool
| Node Red _ _ _ _ => true
| _ => false
def ins : Tree → Nat → Bool → Tree
| Leaf, kx, vx => Node Red Leaf kx vx Leaf
| Node Red a ky vy b, kx, vx =>
(if kx < ky then Node Red (ins a kx vx) ky vy b
else if kx = ky then Node Red a kx vx b
else Node Red a ky vy (ins b kx vx))
| Node Black a ky vy b, kx, vx =>
if kx < ky then
(if isRed a then balance1 (Node Black Leaf ky vy b) (ins a kx vx)
else Node Black (ins a kx vx) ky vy b)
else if kx = ky then Node Black a kx vx b
else if isRed b then balance2 (Node Black a ky vy Leaf) (ins b kx vx)
else Node Black a ky vy (ins b kx vx)
def setBlack : Tree → Tree
| Node _ l k v r => Node Black l k v r
| e => e
def insert (t : Tree) (k : Nat) (v : Bool) : Tree :=
if isRed t then setBlack (ins t k v)
else ins t k v
def mkMapAux : Nat → Tree → Tree
| 0, m => m
| n+1, m => mkMapAux n (insert m n (n % 10 = 0))
def mkMap (n : Nat) :=
mkMapAux n Leaf
def main (xs : List String) : IO UInt32 :=
let m := mkMap xs.head.toNat;
let v := fold (fun (k : Nat) (v : Bool) (r : Nat) => if v then r + 1 else r) m 0;
IO.println (toString v) *>
pure 0
|
82a193bafa4ec4841d2d92032a59560cf9fdf7bd | fa02ed5a3c9c0adee3c26887a16855e7841c668b | /src/group_theory/perm/cycles.lean | c0ee3a842d274433289499a6be012f5250fab3df | [
"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 | 40,508 | lean | /-
Copyright (c) 2019 Chris Hughes. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Chris Hughes
-/
import data.nat.parity
import data.equiv.fintype
import group_theory.perm.sign
import data.finset.noncomm_prod
/-!
# Cyclic permutations
## Main definitions
In the following, `f : equiv.perm β`.
* `equiv.perm.is_cycle`: `f.is_cycle` when two nonfixed points of `β`
are related by repeated application of `f`.
* `equiv.perm.same_cycle`: `f.same_cycle x y` when `x` and `y` are in the same cycle of `f`.
The following two definitions require that `β` is a `fintype`:
* `equiv.perm.cycle_of`: `f.cycle_of x` is the cycle of `f` that `x` belongs to.
* `equiv.perm.cycle_factors`: `f.cycle_factors` is a list of disjoint cyclic permutations that
multiply to `f`.
## Main results
* This file contains several closure results:
- `closure_is_cycle` : The symmetric group is generated by cycles
- `closure_cycle_adjacent_swap` : The symmetric group is generated by
a cycle and an adjacent transposition
- `closure_cycle_coprime_swap` : The symmetric group is generated by
a cycle and a coprime transposition
- `closure_prime_cycle_swap` : The symmetric group is generated by
a prime cycle and a transposition
-/
namespace equiv.perm
open equiv function finset
variables {α : Type*} {β : Type*} [decidable_eq α]
section sign_cycle
/-!
### `is_cycle`
-/
variables [fintype α]
/-- A permutation is a cycle when any two nonfixed points of the permutation are related by repeated
application of the permutation. -/
def is_cycle (f : perm β) : Prop := ∃ x, f x ≠ x ∧ ∀ y, f y ≠ y → ∃ i : ℤ, (f ^ i) x = y
lemma is_cycle.ne_one {f : perm β} (h : is_cycle f) : f ≠ 1 :=
λ hf, by simpa [hf, is_cycle] using h
lemma is_cycle.two_le_card_support {f : perm α} (h : is_cycle f) :
2 ≤ f.support.card :=
two_le_card_support_of_ne_one h.ne_one
lemma is_cycle_swap {α : Type*} [decidable_eq α] {x y : α} (hxy : x ≠ y) : is_cycle (swap x y) :=
⟨y, by rwa swap_apply_right,
λ a (ha : ite (a = x) y (ite (a = y) x a) ≠ a),
if hya : y = a then ⟨0, hya⟩
else ⟨1, by { rw [gpow_one, swap_apply_def], split_ifs at *; cc }⟩⟩
lemma is_swap.is_cycle {α : Type*} [decidable_eq α] {f : perm α} (hf : is_swap f) : is_cycle f :=
begin
obtain ⟨x, y, hxy, rfl⟩ := hf,
exact is_cycle_swap hxy,
end
lemma is_cycle.inv {f : perm β} (hf : is_cycle f) : is_cycle (f⁻¹) :=
let ⟨x, hx⟩ := hf in
⟨x, by { simp only [inv_eq_iff_eq, *, forall_prop_of_true, ne.def] at *, cc },
λ y hy, let ⟨i, hi⟩ := hx.2 y (by { simp only [inv_eq_iff_eq, *, forall_prop_of_true,
ne.def] at *, cc }) in
⟨-i, by rwa [gpow_neg, inv_gpow, inv_inv]⟩⟩
lemma is_cycle.is_cycle_conj {f g : perm β} (hf : is_cycle f) : is_cycle (g * f * g⁻¹) :=
begin
obtain ⟨a, ha1, ha2⟩ := hf,
refine ⟨g a, by simp [ha1], λ b hb, _⟩,
obtain ⟨i, hi⟩ := ha2 (g⁻¹ b) _,
{ refine ⟨i, _⟩,
rw conj_gpow,
simp [hi] },
{ contrapose! hb,
rw [perm.mul_apply, perm.mul_apply, hb, apply_inv_self] }
end
lemma is_cycle.exists_gpow_eq {f : perm β} (hf : is_cycle f) {x y : β}
(hx : f x ≠ x) (hy : f y ≠ y) : ∃ i : ℤ, (f ^ i) x = y :=
let ⟨g, hg⟩ := hf in
let ⟨a, ha⟩ := hg.2 x hx in
let ⟨b, hb⟩ := hg.2 y hy in
⟨b - a, by rw [← ha, ← mul_apply, ← gpow_add, sub_add_cancel, hb]⟩
lemma is_cycle.exists_pow_eq [fintype β] {f : perm β} (hf : is_cycle f) {x y : β}
(hx : f x ≠ x) (hy : f y ≠ y) : ∃ i : ℕ, (f ^ i) x = y :=
let ⟨n, hn⟩ := hf.exists_gpow_eq hx hy in
by classical; exact ⟨(n % order_of f).to_nat, by {
have := n.mod_nonneg (int.coe_nat_ne_zero.mpr (ne_of_gt (order_of_pos f))),
rwa [← gpow_coe_nat, int.to_nat_of_nonneg this, ← gpow_eq_mod_order_of] }⟩
/-- The subgroup generated by a cycle is in bijection with its support -/
noncomputable def is_cycle.gpowers_equiv_support {σ : perm α} (hσ : is_cycle σ) :
(↑(subgroup.gpowers σ) : set (perm α)) ≃ (↑(σ.support) : set α) :=
equiv.of_bijective (λ τ, ⟨τ (classical.some hσ),
begin
obtain ⟨τ, n, rfl⟩ := τ,
rw [finset.mem_coe, coe_fn_coe_base, subtype.coe_mk, gpow_apply_mem_support, mem_support],
exact (classical.some_spec hσ).1,
end⟩)
begin
split,
{ rintros ⟨a, m, rfl⟩ ⟨b, n, rfl⟩ h,
ext y,
by_cases hy : σ y = y,
{ simp_rw [subtype.coe_mk, gpow_apply_eq_self_of_apply_eq_self hy] },
{ obtain ⟨i, rfl⟩ := (classical.some_spec hσ).2 y hy,
rw [subtype.coe_mk, subtype.coe_mk, gpow_apply_comm σ m i, gpow_apply_comm σ n i],
exact congr_arg _ (subtype.ext_iff.mp h) } }, by
{ rintros ⟨y, hy⟩,
rw [finset.mem_coe, mem_support] at hy,
obtain ⟨n, rfl⟩ := (classical.some_spec hσ).2 y hy,
exact ⟨⟨σ ^ n, n, rfl⟩, rfl⟩ },
end
@[simp] lemma is_cycle.gpowers_equiv_support_apply {σ : perm α} (hσ : is_cycle σ) {n : ℕ} :
hσ.gpowers_equiv_support ⟨σ ^ n, n, rfl⟩ = ⟨(σ ^ n) (classical.some hσ),
pow_apply_mem_support.2 (mem_support.2 (classical.some_spec hσ).1)⟩ :=
rfl
@[simp] lemma is_cycle.gpowers_equiv_support_symm_apply {σ : perm α} (hσ : is_cycle σ) (n : ℕ) :
hσ.gpowers_equiv_support.symm ⟨(σ ^ n) (classical.some hσ),
pow_apply_mem_support.2 (mem_support.2 (classical.some_spec hσ).1)⟩ =
⟨σ ^ n, n, rfl⟩ :=
(equiv.symm_apply_eq _).2 hσ.gpowers_equiv_support_apply
lemma order_of_is_cycle {σ : perm α} (hσ : is_cycle σ) : order_of σ = σ.support.card :=
begin
rw [order_eq_card_gpowers, ←fintype.card_coe],
convert fintype.card_congr (is_cycle.gpowers_equiv_support hσ),
end
lemma is_cycle_swap_mul_aux₁ {α : Type*} [decidable_eq α] : ∀ (n : ℕ) {b x : α} {f : perm α}
(hb : (swap x (f x) * f) b ≠ b) (h : (f ^ n) (f x) = b),
∃ i : ℤ, ((swap x (f x) * f) ^ i) (f x) = b
| 0 := λ b x f hb h, ⟨0, h⟩
| (n+1 : ℕ) := λ b x f hb h,
if hfbx : f x = b then ⟨0, hfbx⟩
else
have f b ≠ b ∧ b ≠ x, from ne_and_ne_of_swap_mul_apply_ne_self hb,
have hb' : (swap x (f x) * f) (f⁻¹ b) ≠ f⁻¹ b,
by { rw [mul_apply, apply_inv_self, swap_apply_of_ne_of_ne this.2 (ne.symm hfbx),
ne.def, ← f.injective.eq_iff, apply_inv_self],
exact this.1 },
let ⟨i, hi⟩ := is_cycle_swap_mul_aux₁ n hb'
(f.injective $ by { rw [apply_inv_self], rwa [pow_succ, mul_apply] at h }) in
⟨i + 1, by rw [add_comm, gpow_add, mul_apply, hi, gpow_one, mul_apply, apply_inv_self,
swap_apply_of_ne_of_ne (ne_and_ne_of_swap_mul_apply_ne_self hb).2 (ne.symm hfbx)]⟩
lemma is_cycle_swap_mul_aux₂ {α : Type*} [decidable_eq α] :
∀ (n : ℤ) {b x : α} {f : perm α} (hb : (swap x (f x) * f) b ≠ b) (h : (f ^ n) (f x) = b),
∃ i : ℤ, ((swap x (f x) * f) ^ i) (f x) = b
| (n : ℕ) := λ b x f, is_cycle_swap_mul_aux₁ n
| -[1+ n] := λ b x f hb h,
if hfbx : f⁻¹ x = b then
⟨-1, by rwa [gpow_neg, gpow_one, mul_inv_rev, mul_apply, swap_inv, swap_apply_right]⟩
else if hfbx' : f x = b then ⟨0, hfbx'⟩
else
have f b ≠ b ∧ b ≠ x := ne_and_ne_of_swap_mul_apply_ne_self hb,
have hb : (swap x (f⁻¹ x) * f⁻¹) (f⁻¹ b) ≠ f⁻¹ b,
by { rw [mul_apply, swap_apply_def],
split_ifs;
simp only [inv_eq_iff_eq, perm.mul_apply, gpow_neg_succ_of_nat, ne.def,
perm.apply_inv_self] at *;
cc },
let ⟨i, hi⟩ := is_cycle_swap_mul_aux₁ n hb
(show (f⁻¹ ^ n) (f⁻¹ x) = f⁻¹ b, by
rw [← gpow_coe_nat, ← h, ← mul_apply, ← mul_apply, ← mul_apply, gpow_neg_succ_of_nat,
← inv_pow, pow_succ', mul_assoc, mul_assoc, inv_mul_self, mul_one, gpow_coe_nat,
← pow_succ', ← pow_succ]) in
have h : (swap x (f⁻¹ x) * f⁻¹) (f x) = f⁻¹ x, by rw [mul_apply, inv_apply_self, swap_apply_left],
⟨-i, by rw [← add_sub_cancel i 1, neg_sub, sub_eq_add_neg, gpow_add, gpow_one, gpow_neg,
← inv_gpow, mul_inv_rev, swap_inv, mul_swap_eq_swap_mul, inv_apply_self, swap_comm _ x,
gpow_add, gpow_one, mul_apply, mul_apply (_ ^ i), h, hi, mul_apply, apply_inv_self,
swap_apply_of_ne_of_ne this.2 (ne.symm hfbx')]⟩
lemma is_cycle.eq_swap_of_apply_apply_eq_self {α : Type*} [decidable_eq α]
{f : perm α} (hf : is_cycle f) {x : α}
(hfx : f x ≠ x) (hffx : f (f x) = x) : f = swap x (f x) :=
equiv.ext $ λ y,
let ⟨z, hz⟩ := hf in
let ⟨i, hi⟩ := hz.2 x hfx in
if hyx : y = x then by simp [hyx]
else if hfyx : y = f x then by simp [hfyx, hffx]
else begin
rw [swap_apply_of_ne_of_ne hyx hfyx],
refine by_contradiction (λ hy, _),
cases hz.2 y hy with j hj,
rw [← sub_add_cancel j i, gpow_add, mul_apply, hi] at hj,
cases gpow_apply_eq_of_apply_apply_eq_self hffx (j - i) with hji hji,
{ rw [← hj, hji] at hyx, cc },
{ rw [← hj, hji] at hfyx, cc }
end
lemma is_cycle.swap_mul {α : Type*} [decidable_eq α] {f : perm α} (hf : is_cycle f) {x : α}
(hx : f x ≠ x) (hffx : f (f x) ≠ x) : is_cycle (swap x (f x) * f) :=
⟨f x, by { simp only [swap_apply_def, mul_apply],
split_ifs; simp [f.injective.eq_iff] at *; cc },
λ y hy,
let ⟨i, hi⟩ := hf.exists_gpow_eq hx (ne_and_ne_of_swap_mul_apply_ne_self hy).1 in
have hi : (f ^ (i - 1)) (f x) = y, from
calc (f ^ (i - 1)) (f x) = (f ^ (i - 1) * f ^ (1 : ℤ)) x : by rw [gpow_one, mul_apply]
... = y : by rwa [← gpow_add, sub_add_cancel],
is_cycle_swap_mul_aux₂ (i - 1) hy hi⟩
lemma is_cycle.sign : ∀ {f : perm α} (hf : is_cycle f),
sign f = -(-1) ^ f.support.card
| f := λ hf,
let ⟨x, hx⟩ := hf in
calc sign f = sign (swap x (f x) * (swap x (f x) * f)) :
by rw [← mul_assoc, mul_def, mul_def, swap_swap, trans_refl]
... = -(-1) ^ f.support.card :
if h1 : f (f x) = x
then
have h : swap x (f x) * f = 1,
begin
rw hf.eq_swap_of_apply_apply_eq_self hx.1 h1,
simp only [perm.mul_def, perm.one_def, swap_apply_left, swap_swap]
end,
by { rw [sign_mul, sign_swap hx.1.symm, h, sign_one, hf.eq_swap_of_apply_apply_eq_self hx.1 h1,
card_support_swap hx.1.symm], refl }
else
have h : card (support (swap x (f x) * f)) + 1 = card (support f),
by rw [← insert_erase (mem_support.2 hx.1), support_swap_mul_eq _ _ h1,
card_insert_of_not_mem (not_mem_erase _ _), sdiff_singleton_eq_erase],
have wf : card (support (swap x (f x) * f)) < card (support f),
from card_support_swap_mul hx.1,
by { rw [sign_mul, sign_swap hx.1.symm, (hf.swap_mul hx.1 h1).sign, ← h],
simp only [pow_add, mul_one, units.neg_neg, one_mul, units.mul_neg, eq_self_iff_true,
pow_one, units.neg_mul_neg] }
using_well_founded {rel_tac := λ _ _, `[exact ⟨_, measure_wf (λ f, f.support.card)⟩]}
-- The lemma `support_pow_le` is relevant. It means that `h2` is equivalent to
-- `σ.support = (σ ^ n).support`, as well as to `σ.support.card ≤ (σ ^ n).support.card`.
lemma is_cycle_of_is_cycle_pow {σ : perm α} {n : ℤ}
(h1 : is_cycle (σ ^ n)) (h2 : σ.support ≤ (σ ^ n).support) : is_cycle σ :=
begin
have key : ∀ x : α, (σ ^ n) x ≠ x ↔ σ x ≠ x,
{ simp_rw [←mem_support],
exact finset.ext_iff.mp (le_antisymm (support_pow_le σ n) h2) },
obtain ⟨x, hx1, hx2⟩ := h1,
refine ⟨x, (key x).mp hx1, λ y hy, _⟩,
cases (hx2 y ((key y).mpr hy)) with i _,
exact ⟨n * i, by rwa gpow_mul⟩,
end
lemma is_cycle.extend_domain {α : Type*} {p : β → Prop} [decidable_pred p]
(f : α ≃ subtype p) {g : perm α} (h : is_cycle g) :
is_cycle (g.extend_domain f) :=
begin
obtain ⟨a, ha, ha'⟩ := h,
refine ⟨f a, _, λ b hb, _⟩,
{ rw extend_domain_apply_image,
exact λ con, ha (f.injective (subtype.coe_injective con)) },
by_cases pb : p b,
{ obtain ⟨i, hi⟩ := ha' (f.symm ⟨b, pb⟩) (λ con, hb _),
{ refine ⟨i, _⟩,
have hnat : ∀ (k : ℕ) (a : α), (g.extend_domain f ^ k) ↑(f a) = f ((g ^ k) a),
{ intros k a,
induction k with k ih, { refl },
rw [pow_succ, perm.mul_apply, ih, extend_domain_apply_image, pow_succ, perm.mul_apply] },
have hint : ∀ (k : ℤ) (a : α), (g.extend_domain f ^ k) ↑(f a) = f ((g ^ k) a),
{ intros k a,
induction k with k k,
{ rw [gpow_of_nat, gpow_of_nat, hnat] },
rw [gpow_neg_succ_of_nat, gpow_neg_succ_of_nat, inv_eq_iff_eq, hnat, apply_inv_self] },
rw [hint, hi, apply_symm_apply, subtype.coe_mk] },
{ rw [extend_domain_apply_subtype _ _ pb, con, apply_symm_apply, subtype.coe_mk] } },
{ exact (hb (extend_domain_apply_not_subtype _ _ pb)).elim }
end
end sign_cycle
/-!
### `same_cycle`
-/
/-- The equivalence relation indicating that two points are in the same cycle of a permutation. -/
def same_cycle (f : perm β) (x y : β) : Prop := ∃ i : ℤ, (f ^ i) x = y
@[refl] lemma same_cycle.refl (f : perm β) (x : β) : same_cycle f x x := ⟨0, rfl⟩
@[symm] lemma same_cycle.symm (f : perm β) {x y : β} : same_cycle f x y → same_cycle f y x :=
λ ⟨i, hi⟩, ⟨-i, by rw [gpow_neg, ← hi, inv_apply_self]⟩
@[trans] lemma same_cycle.trans (f : perm β) {x y z : β} :
same_cycle f x y → same_cycle f y z → same_cycle f x z :=
λ ⟨i, hi⟩ ⟨j, hj⟩, ⟨j + i, by rw [gpow_add, mul_apply, hi, hj]⟩
lemma same_cycle.apply_eq_self_iff {f : perm β} {x y : β} :
same_cycle f x y → (f x = x ↔ f y = y) :=
λ ⟨i, hi⟩, by rw [← hi, ← mul_apply, ← gpow_one_add, add_comm, gpow_add_one, mul_apply,
(f ^ i).injective.eq_iff]
lemma is_cycle.same_cycle {f : perm β} (hf : is_cycle f) {x y : β}
(hx : f x ≠ x) (hy : f y ≠ y) : same_cycle f x y :=
hf.exists_gpow_eq hx hy
instance [fintype α] (f : perm α) : decidable_rel (same_cycle f) :=
λ x y, decidable_of_iff (∃ n ∈ list.range (fintype.card (perm α)), (f ^ n) x = y)
⟨λ ⟨n, _, hn⟩, ⟨n, hn⟩, λ ⟨i, hi⟩, ⟨(i % order_of f).nat_abs, list.mem_range.2
(int.coe_nat_lt.1 $
by { rw int.nat_abs_of_nonneg (int.mod_nonneg _
(int.coe_nat_ne_zero_iff_pos.2 (order_of_pos _))),
{ apply lt_of_lt_of_le (int.mod_lt _ (int.coe_nat_ne_zero_iff_pos.2 (order_of_pos _))),
{ simp [order_of_le_card_univ] },
exact fintype_perm },
exact fintype_perm, }),
by { rw [← gpow_coe_nat, int.nat_abs_of_nonneg (int.mod_nonneg _
(int.coe_nat_ne_zero_iff_pos.2 (order_of_pos _))), ← gpow_eq_mod_order_of, hi],
exact fintype_perm }⟩⟩
lemma same_cycle_apply {f : perm β} {x y : β} : same_cycle f x (f y) ↔ same_cycle f x y :=
⟨λ ⟨i, hi⟩, ⟨-1 + i, by rw [gpow_add, mul_apply, hi, gpow_neg_one, inv_apply_self]⟩,
λ ⟨i, hi⟩, ⟨1 + i, by rw [gpow_add, mul_apply, hi, gpow_one]⟩⟩
lemma same_cycle_cycle {f : perm β} {x : β} (hx : f x ≠ x) : is_cycle f ↔
(∀ {y}, same_cycle f x y ↔ f y ≠ y) :=
⟨λ hf y, ⟨λ ⟨i, hi⟩ hy, hx $
by { rw [← gpow_apply_eq_self_of_apply_eq_self hy i, (f ^ i).injective.eq_iff] at hi,
rw [hi, hy] },
hf.exists_gpow_eq hx⟩,
λ h, ⟨x, hx, λ y hy, h.2 hy⟩⟩
lemma same_cycle_inv (f : perm β) {x y : β} : same_cycle f⁻¹ x y ↔ same_cycle f x y :=
⟨λ ⟨i, hi⟩, ⟨-i, by rw [gpow_neg, ← inv_gpow, hi]⟩,
λ ⟨i, hi⟩, ⟨-i, by rw [gpow_neg, ← inv_gpow, inv_inv, hi]⟩ ⟩
lemma same_cycle_inv_apply {f : perm β} {x y : β} : same_cycle f x (f⁻¹ y) ↔ same_cycle f x y :=
by rw [← same_cycle_inv, same_cycle_apply, same_cycle_inv]
/-- Unlike `support_congr`, which assumes that `∀ (x ∈ g.support), f x = g x)`, here
we have the weaker assumption that `∀ (x ∈ f.support), f x = g x`. -/
lemma is_cycle.support_congr [fintype α] {f g : perm α} (hf : is_cycle f) (hg : is_cycle g)
(h : f.support ⊆ g.support) (h' : ∀ (x ∈ f.support), f x = g x) : f = g :=
begin
have : f.support = g.support,
{ refine le_antisymm h _,
intros z hz,
obtain ⟨x, hx, hf'⟩ := id hf,
have hx' : g x ≠ x,
{ rwa [←h' x (mem_support.mpr hx)] },
obtain ⟨m, hm⟩ := hg.exists_pow_eq hx' (mem_support.mp hz),
have h'' : ∀ (x ∈ f.support ∩ g.support), f x = g x,
{ intros x hx,
exact h' x (mem_of_mem_inter_left hx) },
rwa [←hm, ←pow_eq_on_of_mem_support h'' _ x (mem_inter_of_mem (mem_support.mpr hx)
(mem_support.mpr hx')), pow_apply_mem_support, mem_support] },
refine support_congr h _,
simpa [←this] using h'
end
/-- If two cyclic permutations agree on all terms in their intersection,
and that intersection is not empty, then the two cyclic permutations must be equal. -/
lemma is_cycle.eq_on_support_inter_nonempty_congr [fintype α] {f g : perm α}
(hf : is_cycle f) (hg : is_cycle g) (h : ∀ (x ∈ f.support ∩ g.support), f x = g x) {x : α}
(hx : f x = g x) (hx' : x ∈ f.support) : f = g :=
begin
have hx'' : x ∈ g.support,
{ rwa [mem_support, ←hx, ←mem_support] },
have : f.support ⊆ g.support,
{ intros y hy,
obtain ⟨k, rfl⟩ := hf.exists_pow_eq (mem_support.mp hx') (mem_support.mp hy),
rwa [pow_eq_on_of_mem_support h _ _ (mem_inter_of_mem hx' hx''), pow_apply_mem_support] },
rw (inter_eq_left_iff_subset _ _).mpr this at h,
exact hf.support_congr hg this h
end
/-!
### `cycle_of`
-/
/-- `f.cycle_of x` is the cycle of the permutation `f` to which `x` belongs. -/
def cycle_of [fintype α] (f : perm α) (x : α) : perm α :=
of_subtype (@subtype_perm _ f (same_cycle f x) (λ _, same_cycle_apply.symm))
lemma cycle_of_apply [fintype α] (f : perm α) (x y : α) :
cycle_of f x y = if same_cycle f x y then f y else y := rfl
lemma cycle_of_inv [fintype α] (f : perm α) (x : α) :
(cycle_of f x)⁻¹ = cycle_of f⁻¹ x :=
equiv.ext $ λ y, begin
rw [inv_eq_iff_eq, cycle_of_apply, cycle_of_apply],
split_ifs; simp [*, same_cycle_inv, same_cycle_inv_apply] at *
end
@[simp] lemma cycle_of_pow_apply_self [fintype α] (f : perm α) (x : α) :
∀ n : ℕ, (cycle_of f x ^ n) x = (f ^ n) x
| 0 := rfl
| (n+1) := by { rw [pow_succ, mul_apply, cycle_of_apply,
cycle_of_pow_apply_self, if_pos, pow_succ, mul_apply],
exact ⟨n, rfl⟩ }
@[simp] lemma cycle_of_gpow_apply_self [fintype α] (f : perm α) (x : α) :
∀ n : ℤ, (cycle_of f x ^ n) x = (f ^ n) x
| (n : ℕ) := cycle_of_pow_apply_self f x n
| -[1+ n] := by rw [gpow_neg_succ_of_nat, ← inv_pow, cycle_of_inv,
gpow_neg_succ_of_nat, ← inv_pow, cycle_of_pow_apply_self]
lemma same_cycle.cycle_of_apply [fintype α] {f : perm α} {x y : α} (h : same_cycle f x y) :
cycle_of f x y = f y := dif_pos h
lemma cycle_of_apply_of_not_same_cycle [fintype α] {f : perm α} {x y : α} (h : ¬same_cycle f x y) :
cycle_of f x y = y := dif_neg h
@[simp] lemma cycle_of_apply_self [fintype α] (f : perm α) (x : α) :
cycle_of f x x = f x := (same_cycle.refl _ _).cycle_of_apply
lemma is_cycle.cycle_of_eq [fintype α] {f : perm α} (hf : is_cycle f) {x : α} (hx : f x ≠ x) :
cycle_of f x = f :=
equiv.ext $ λ y,
if h : same_cycle f x y then by rw [h.cycle_of_apply]
else by rw [cycle_of_apply_of_not_same_cycle h, not_not.1 (mt ((same_cycle_cycle hx).1 hf).2 h)]
@[simp] lemma cycle_of_eq_one_iff [fintype α] (f : perm α) {x : α} : cycle_of f x = 1 ↔ f x = x :=
begin
simp_rw [ext_iff, cycle_of_apply, one_apply],
refine ⟨λ h, (if_pos (same_cycle.refl f x)).symm.trans (h x), λ h y, _⟩,
by_cases hy : f y = y,
{ rw [hy, if_t_t] },
{ exact if_neg (mt same_cycle.apply_eq_self_iff (by tauto)) },
end
lemma is_cycle.cycle_of [fintype α] {f : perm α} (hf : is_cycle f) {x : α} :
cycle_of f x = if f x = x then 1 else f :=
begin
by_cases hx : f x = x,
{ rwa [if_pos hx, cycle_of_eq_one_iff] },
{ rwa [if_neg hx, hf.cycle_of_eq] },
end
lemma cycle_of_one [fintype α] (x : α) : cycle_of 1 x = 1 :=
(cycle_of_eq_one_iff 1).mpr rfl
lemma is_cycle_cycle_of [fintype α] (f : perm α) {x : α} (hx : f x ≠ x) : is_cycle (cycle_of f x) :=
have cycle_of f x x ≠ x, by rwa [(same_cycle.refl _ _).cycle_of_apply],
(same_cycle_cycle this).2 $ λ y,
⟨λ h, mt h.apply_eq_self_iff.2 this,
λ h, if hxy : same_cycle f x y then
let ⟨i, hi⟩ := hxy in
⟨i, by rw [cycle_of_gpow_apply_self, hi]⟩
else by { rw [cycle_of_apply_of_not_same_cycle hxy] at h, exact (h rfl).elim }⟩
/-!
### `cycle_factors`
-/
/-- Given a list `l : list α` and a permutation `f : perm α` whose nonfixed points are all in `l`,
recursively factors `f` into cycles. -/
def cycle_factors_aux [fintype α] : Π (l : list α) (f : perm α),
(∀ {x}, f x ≠ x → x ∈ l) →
{l : list (perm α) // l.prod = f ∧ (∀ g ∈ l, is_cycle g) ∧ l.pairwise disjoint}
| [] f h := ⟨[], by { simp only [imp_false, list.pairwise.nil, list.not_mem_nil, forall_const,
and_true, forall_prop_of_false, not_not, not_false_iff, list.prod_nil] at *,
ext, simp * }⟩
| (x::l) f h :=
if hx : f x = x then
cycle_factors_aux l f (λ y hy, list.mem_of_ne_of_mem (λ h, hy (by rwa h)) (h hy))
else let ⟨m, hm₁, hm₂, hm₃⟩ := cycle_factors_aux l ((cycle_of f x)⁻¹ * f)
(λ y hy, list.mem_of_ne_of_mem
(λ h : y = x,
by { rw [h, mul_apply, ne.def, inv_eq_iff_eq, cycle_of_apply_self] at hy, exact hy rfl })
(h (λ h : f y = y, by { rw [mul_apply, h, ne.def, inv_eq_iff_eq, cycle_of_apply] at hy,
split_ifs at hy; cc }))) in
⟨(cycle_of f x) :: m, by { rw [list.prod_cons, hm₁], simp },
λ g hg, ((list.mem_cons_iff _ _ _).1 hg).elim (λ hg, hg.symm ▸ is_cycle_cycle_of _ hx)
(hm₂ g),
list.pairwise_cons.2 ⟨λ g hg y,
or_iff_not_imp_left.2 (λ hfy,
have hxy : same_cycle f x y := not_not.1 (mt cycle_of_apply_of_not_same_cycle hfy),
have hgm : g :: m.erase g ~ m := list.cons_perm_iff_perm_erase.2 ⟨hg, list.perm.refl _⟩,
have ∀ h ∈ m.erase g, disjoint g h, from
(list.pairwise_cons.1 ((hgm.pairwise_iff (λ a b (h : disjoint a b), h.symm)).2 hm₃)).1,
classical.by_cases id $ λ hgy : g y ≠ y,
(disjoint_prod_right _ this y).resolve_right $
have hsc : same_cycle f⁻¹ x (f y), by rwa [same_cycle_inv, same_cycle_apply],
by { rw [disjoint_prod_perm hm₃ hgm.symm, list.prod_cons,
← eq_inv_mul_iff_mul_eq] at hm₁,
rwa [hm₁, mul_apply, mul_apply, cycle_of_inv, hsc.cycle_of_apply,
inv_apply_self, inv_eq_iff_eq, eq_comm] }),
hm₃⟩⟩
lemma mem_list_cycles_iff {α : Type*} [fintype α] {l : list (perm α)}
(h1 : ∀ σ : perm α, σ ∈ l → σ.is_cycle)
(h2 : l.pairwise disjoint) {σ : perm α} :
σ ∈ l ↔ σ.is_cycle ∧ ∀ (a : α) (h4 : σ a ≠ a), σ a = l.prod a :=
begin
suffices : σ.is_cycle → (σ ∈ l ↔ ∀ (a : α) (h4 : σ a ≠ a), σ a = l.prod a),
{ exact ⟨λ hσ, ⟨h1 σ hσ, (this (h1 σ hσ)).mp hσ⟩, λ hσ, (this hσ.1).mpr hσ.2⟩ },
intro h3,
classical,
split,
{ intros h a ha,
exact eq_on_support_mem_disjoint h h2 _ (mem_support.mpr ha) },
{ intros h,
have hσl : σ.support ⊆ l.prod.support,
{ intros x hx,
rw mem_support at hx,
rwa [mem_support, ←h _ hx] },
obtain ⟨a, ha, -⟩ := id h3,
rw ←mem_support at ha,
obtain ⟨τ, hτ, hτa⟩ := exists_mem_support_of_mem_support_prod (hσl ha),
have hτl : ∀ (x ∈ τ.support), τ x = l.prod x := eq_on_support_mem_disjoint hτ h2,
have key : ∀ (x ∈ σ.support ∩ τ.support), σ x = τ x,
{ intros x hx,
rw [h x (mem_support.mp (mem_of_mem_inter_left hx)), hτl x (mem_of_mem_inter_right hx)] },
convert hτ,
refine h3.eq_on_support_inter_nonempty_congr (h1 _ hτ) key _ ha,
exact key a (mem_inter_of_mem ha hτa) }
end
lemma list_cycles_perm_list_cycles {α : Type*} [fintype α] {l₁ l₂ : list (perm α)}
(h₀ : l₁.prod = l₂.prod)
(h₁l₁ : ∀ σ : perm α, σ ∈ l₁ → σ.is_cycle) (h₁l₂ : ∀ σ : perm α, σ ∈ l₂ → σ.is_cycle)
(h₂l₁ : l₁.pairwise disjoint) (h₂l₂ : l₂.pairwise disjoint) :
l₁ ~ l₂ :=
begin
classical,
have h₃l₁ : (1 : perm α) ∉ l₁ := λ h, (h₁l₁ 1 h).ne_one rfl,
have h₃l₂ : (1 : perm α) ∉ l₂ := λ h, (h₁l₂ 1 h).ne_one rfl,
refine (list.perm_ext (nodup_of_pairwise_disjoint h₃l₁ h₂l₁)
(nodup_of_pairwise_disjoint h₃l₂ h₂l₂)).mpr (λ σ, _),
by_cases hσ : σ.is_cycle,
{ obtain ⟨a, ha⟩ := not_forall.mp (mt ext hσ.ne_one),
rw [mem_list_cycles_iff h₁l₁ h₂l₁, mem_list_cycles_iff h₁l₂ h₂l₂, h₀] },
{ exact iff_of_false (mt (h₁l₁ σ) hσ) (mt (h₁l₂ σ) hσ) }
end
/-- Factors a permutation `f` into a list of disjoint cyclic permutations that multiply to `f`. -/
def cycle_factors [fintype α] [linear_order α] (f : perm α) :
{l : list (perm α) // l.prod = f ∧ (∀ g ∈ l, is_cycle g) ∧ l.pairwise disjoint} :=
cycle_factors_aux (univ.sort (≤)) f (λ _ _, (mem_sort _).2 (mem_univ _))
/-- Factors a permutation `f` into a list of disjoint cyclic permutations that multiply to `f`,
without a linear order. -/
def trunc_cycle_factors [fintype α] (f : perm α) :
trunc {l : list (perm α) // l.prod = f ∧ (∀ g ∈ l, is_cycle g) ∧ l.pairwise disjoint} :=
quotient.rec_on_subsingleton (@univ α _).1
(λ l h, trunc.mk (cycle_factors_aux l f h))
(show ∀ x, f x ≠ x → x ∈ (@univ α _).1, from λ _ _, mem_univ _)
section cycle_factors_finset
variables [fintype α] (f : perm α)
/-- Factors a permutation `f` into a `finset` of disjoint cyclic permutations that multiply to `f`.
-/
def cycle_factors_finset : finset (perm α) :=
(trunc_cycle_factors f).lift
(λ (l : {l : list (perm α) // l.prod = f ∧ (∀ g ∈ l, is_cycle g) ∧ l.pairwise disjoint}),
l.val.to_finset) (λ ⟨l, hl⟩ ⟨l', hl'⟩, list.to_finset_eq_of_perm _ _
(list_cycles_perm_list_cycles (hl'.left.symm ▸ hl.left) hl.right.left (hl'.right.left)
hl.right.right hl'.right.right))
lemma cycle_factors_finset_eq_list_to_finset {σ : perm α} {l : list (perm α)} (hn : l.nodup) :
σ.cycle_factors_finset = l.to_finset ↔ (∀ f : perm α, f ∈ l → f.is_cycle) ∧
l.pairwise disjoint ∧ l.prod = σ :=
begin
obtain ⟨⟨l', hp', hc', hd'⟩, hl⟩ := trunc.exists_rep σ.trunc_cycle_factors,
have ht : cycle_factors_finset σ = l'.to_finset,
{ rw [cycle_factors_finset, ←hl, trunc.lift_mk] },
rw ht,
split,
{ intro h,
have hn' : l'.nodup,
{ refine nodup_of_pairwise_disjoint _ hd',
intro H,
exact is_cycle.ne_one (hc' _ H) rfl },
have hperm : l ~ l' := list.perm_of_nodup_nodup_to_finset_eq hn hn' h.symm,
refine ⟨_, _, _⟩,
{ exact λ _ h, hc' _ (hperm.subset h)},
{ rwa list.perm.pairwise_iff disjoint.symmetric hperm },
{ rw [←hp', hperm.symm.prod_eq'],
refine hd'.imp _,
exact λ _ _, disjoint.commute } },
{ rintro ⟨hc, hd, hp⟩,
refine list.to_finset_eq_of_perm _ _ _,
refine list_cycles_perm_list_cycles _ hc' hc hd' hd,
rw [hp, hp'] }
end
lemma cycle_factors_finset_eq_finset {σ : perm α} {s : finset (perm α)} :
σ.cycle_factors_finset = s ↔ (∀ f : perm α, f ∈ s → f.is_cycle) ∧
(∃ h : (∀ (a ∈ s) (b ∈ s), a ≠ b → disjoint a b), s.noncomm_prod id
(λ a ha b hb, (em (a = b)).by_cases (λ h, h ▸ commute.refl a)
(set.pairwise_on.mono' (λ _ _, disjoint.commute) h a ha b hb)) = σ) :=
begin
obtain ⟨l, hl, rfl⟩ := s.exists_list_nodup_eq,
rw cycle_factors_finset_eq_list_to_finset hl,
simp only [noncomm_prod_to_finset, hl, exists_prop, list.mem_to_finset, and.congr_left_iff,
and.congr_right_iff, list.map_id, ne.def],
intros,
exact ⟨list.forall_of_pairwise disjoint.symmetric, hl.pairwise_of_forall_ne⟩
end
lemma cycle_factors_finset_pairwise_disjoint (p : perm α) (hp : p ∈ cycle_factors_finset f)
(q : perm α) (hq : q ∈ cycle_factors_finset f) (h : p ≠ q) :
disjoint p q :=
begin
have : f.cycle_factors_finset = f.cycle_factors_finset := rfl,
obtain ⟨-, hd, -⟩ := cycle_factors_finset_eq_finset.mp this,
exact hd p hp q hq h
end
-- TODO: use #7578
lemma cycle_factors_finset_mem_commute (p : perm α) (hp : p ∈ cycle_factors_finset f)
(q : perm α) (hq : q ∈ cycle_factors_finset f) :
_root_.commute p q :=
begin
by_cases h : p = q,
{ exact h ▸ commute.refl _ },
{ exact (cycle_factors_finset_pairwise_disjoint _ _ hp _ hq h).commute }
end
/-- The product of cycle factors is equal to the original `f : perm α`. -/
lemma cycle_factors_finset_noncomm_prod :
f.cycle_factors_finset.noncomm_prod id (cycle_factors_finset_mem_commute f) = f :=
begin
have : f.cycle_factors_finset = f.cycle_factors_finset := rfl,
obtain ⟨-, hd, hp⟩ := cycle_factors_finset_eq_finset.mp this,
exact hp
end
lemma mem_cycle_factors_finset_iff {f p : perm α} :
p ∈ cycle_factors_finset f ↔ p.is_cycle ∧ ∀ (a ∈ p.support), p a = f a :=
begin
obtain ⟨l, hl, hl'⟩ := f.cycle_factors_finset.exists_list_nodup_eq,
rw ←hl',
rw [eq_comm, cycle_factors_finset_eq_list_to_finset hl] at hl',
simpa [list.mem_to_finset, ne.def, ←hl'.right.right]
using mem_list_cycles_iff hl'.left hl'.right.left
end
lemma cycle_factors_finset_eq_empty_iff :
cycle_factors_finset f = ∅ ↔ f = 1 :=
by simpa [cycle_factors_finset_eq_finset] using eq_comm
@[simp] lemma cycle_factors_finset_eq_singleton_self_iff :
f.cycle_factors_finset = {f} ↔ f.is_cycle :=
by simp [cycle_factors_finset_eq_finset]
lemma cycle_factors_finset_eq_singleton_iff {g : perm α} :
f.cycle_factors_finset = {g} ↔ f.is_cycle ∧ f = g :=
begin
suffices : f = g → (g.is_cycle ↔ f.is_cycle),
{ simpa [cycle_factors_finset_eq_finset, eq_comm] },
rintro rfl,
exact iff.rfl
end
/-- Two permutations `f g : perm α` have the same cycle factors iff they are the same. -/
lemma cycle_factors_finset_injective : function.injective (@cycle_factors_finset α _ _) :=
begin
intros f g h,
rw ←cycle_factors_finset_noncomm_prod f,
simpa [h] using cycle_factors_finset_noncomm_prod g
end
end cycle_factors_finset
@[elab_as_eliminator] lemma cycle_induction_on [fintype β] (P : perm β → Prop) (σ : perm β)
(base_one : P 1) (base_cycles : ∀ σ : perm β, σ.is_cycle → P σ)
(induction_disjoint : ∀ σ τ : perm β, disjoint σ τ → is_cycle σ → P σ → P τ → P (σ * τ)) :
P σ :=
begin
suffices :
∀ l : list (perm β), (∀ τ : perm β, τ ∈ l → τ.is_cycle) → l.pairwise disjoint → P l.prod,
{ classical,
let x := σ.trunc_cycle_factors.out,
exact (congr_arg P x.2.1).mp (this x.1 x.2.2.1 x.2.2.2) },
intro l,
induction l with σ l ih,
{ exact λ _ _, base_one },
{ intros h1 h2,
rw list.prod_cons,
exact induction_disjoint σ l.prod
(disjoint_prod_right _ (list.pairwise_cons.mp h2).1)
(h1 _ (list.mem_cons_self _ _))
(base_cycles σ (h1 σ (l.mem_cons_self σ)))
(ih (λ τ hτ, h1 τ (list.mem_cons_of_mem σ hτ)) (list.pairwise_of_pairwise_cons h2)) },
end
section generation
variables [fintype α] [fintype β]
open subgroup
lemma closure_is_cycle : closure {σ : perm β | is_cycle σ} = ⊤ :=
begin
classical,
exact top_le_iff.mp (le_trans (ge_of_eq closure_is_swap) (closure_mono (λ _, is_swap.is_cycle))),
end
lemma closure_cycle_adjacent_swap {σ : perm α} (h1 : is_cycle σ) (h2 : σ.support = ⊤) (x : α) :
closure ({σ, swap x (σ x)} : set (perm α)) = ⊤ :=
begin
let H := closure ({σ, swap x (σ x)} : set (perm α)),
have h3 : σ ∈ H := subset_closure (set.mem_insert σ _),
have h4 : swap x (σ x) ∈ H := subset_closure (set.mem_insert_of_mem _ (set.mem_singleton _)),
have step1 : ∀ (n : ℕ), swap ((σ ^ n) x) ((σ^(n+1)) x) ∈ H,
{ intro n,
induction n with n ih,
{ exact subset_closure (set.mem_insert_of_mem _ (set.mem_singleton _)) },
{ convert H.mul_mem (H.mul_mem h3 ih) (H.inv_mem h3),
rw [mul_swap_eq_swap_mul, mul_inv_cancel_right], refl } },
have step2 : ∀ (n : ℕ), swap x ((σ ^ n) x) ∈ H,
{ intro n,
induction n with n ih,
{ convert H.one_mem,
exact swap_self x },
{ by_cases h5 : x = (σ ^ n) x,
{ rw [pow_succ, mul_apply, ←h5], exact h4 },
by_cases h6 : x = (σ^(n+1)) x,
{ rw [←h6, swap_self], exact H.one_mem },
rw [swap_comm, ←swap_mul_swap_mul_swap h5 h6],
exact H.mul_mem (H.mul_mem (step1 n) ih) (step1 n) } },
have step3 : ∀ (y : α), swap x y ∈ H,
{ intro y,
have hx : x ∈ (⊤ : finset α) := finset.mem_univ x,
rw [←h2, mem_support] at hx,
have hy : y ∈ (⊤ : finset α) := finset.mem_univ y,
rw [←h2, mem_support] at hy,
cases is_cycle.exists_pow_eq h1 hx hy with n hn,
rw ← hn,
exact step2 n },
have step4 : ∀ (y z : α), swap y z ∈ H,
{ intros y z,
by_cases h5 : z = x,
{ rw [h5, swap_comm], exact step3 y },
by_cases h6 : z = y,
{ rw [h6, swap_self], exact H.one_mem },
rw [←swap_mul_swap_mul_swap h5 h6, swap_comm z x],
exact H.mul_mem (H.mul_mem (step3 y) (step3 z)) (step3 y) },
rw [eq_top_iff, ←closure_is_swap, closure_le],
rintros τ ⟨y, z, h5, h6⟩,
rw h6,
exact step4 y z,
end
lemma closure_cycle_coprime_swap {n : ℕ} {σ : perm α} (h0 : nat.coprime n (fintype.card α))
(h1 : is_cycle σ) (h2 : σ.support = finset.univ) (x : α) :
closure ({σ, swap x ((σ ^ n) x)} : set (perm α)) = ⊤ :=
begin
rw [←finset.card_univ, ←h2, ←order_of_is_cycle h1] at h0,
cases exists_pow_eq_self_of_coprime h0 with m hm,
have h2' : (σ ^ n).support = ⊤ := eq.trans (support_pow_coprime h0) h2,
have h1' : is_cycle ((σ ^ n) ^ (m : ℤ)) := by rwa ← hm at h1,
replace h1' : is_cycle (σ ^ n) := is_cycle_of_is_cycle_pow h1'
(le_trans (support_pow_le σ n) (ge_of_eq (congr_arg support hm))),
rw [eq_top_iff, ←closure_cycle_adjacent_swap h1' h2' x, closure_le, set.insert_subset],
exact ⟨subgroup.pow_mem (closure _) (subset_closure (set.mem_insert σ _)) n,
set.singleton_subset_iff.mpr (subset_closure (set.mem_insert_of_mem _ (set.mem_singleton _)))⟩,
end
lemma closure_prime_cycle_swap {σ τ : perm α} (h0 : (fintype.card α).prime) (h1 : is_cycle σ)
(h2 : σ.support = finset.univ) (h3 : is_swap τ) : closure ({σ, τ} : set (perm α)) = ⊤ :=
begin
obtain ⟨x, y, h4, h5⟩ := h3,
obtain ⟨i, hi⟩ := h1.exists_pow_eq (mem_support.mp
((finset.ext_iff.mp h2 x).mpr (finset.mem_univ x)))
(mem_support.mp ((finset.ext_iff.mp h2 y).mpr (finset.mem_univ y))),
rw [h5, ←hi],
refine closure_cycle_coprime_swap (nat.coprime.symm
(h0.coprime_iff_not_dvd.mpr (λ h, h4 _))) h1 h2 x,
cases h with m hm,
rwa [hm, pow_mul, ←finset.card_univ, ←h2, ←order_of_is_cycle h1,
pow_order_of_eq_one, one_pow, one_apply] at hi,
end
end generation
section
variables [fintype α] {σ τ : perm α}
noncomputable theory
lemma is_conj_of_support_equiv (f : {x // x ∈ (σ.support : set α)} ≃ {x // x ∈ (τ.support : set α)})
(hf : ∀ (x : α) (hx : x ∈ (σ.support : set α)), (f ⟨σ x, apply_mem_support.2 hx⟩ : α) =
τ ↑(f ⟨x,hx⟩)) :
is_conj σ τ :=
begin
refine is_conj_iff.2 ⟨equiv.extend_subtype f, _⟩,
rw mul_inv_eq_iff_eq_mul,
ext,
simp only [perm.mul_apply],
by_cases hx : x ∈ σ.support,
{ rw [equiv.extend_subtype_apply_of_mem, equiv.extend_subtype_apply_of_mem],
{ exact hf x (finset.mem_coe.2 hx) } },
{ rwa [not_not.1 ((not_congr mem_support).1 (equiv.extend_subtype_not_mem f _ _)),
not_not.1 ((not_congr mem_support).mp hx)] }
end
theorem is_cycle.is_conj (hσ : is_cycle σ) (hτ : is_cycle τ) (h : σ.support.card = τ.support.card) :
is_conj σ τ :=
begin
refine is_conj_of_support_equiv (hσ.gpowers_equiv_support.symm.trans
((gpowers_equiv_gpowers begin
rw [order_of_is_cycle hσ, h, order_of_is_cycle hτ],
end).trans hτ.gpowers_equiv_support)) _,
intros x hx,
simp only [perm.mul_apply, equiv.trans_apply, equiv.sum_congr_apply],
obtain ⟨n, rfl⟩ := hσ.exists_pow_eq (classical.some_spec hσ).1 (mem_support.1 hx),
apply eq.trans _ (congr rfl (congr rfl (congr rfl
(congr rfl (hσ.gpowers_equiv_support_symm_apply n).symm)))),
apply (congr rfl (congr rfl (congr rfl (hσ.gpowers_equiv_support_symm_apply (n + 1))))).trans _,
simp only [ne.def, is_cycle.gpowers_equiv_support_apply,
subtype.coe_mk, gpowers_equiv_gpowers_apply],
rw [pow_succ, perm.mul_apply],
end
theorem is_cycle.is_conj_iff (hσ : is_cycle σ) (hτ : is_cycle τ) :
is_conj σ τ ↔ σ.support.card = τ.support.card :=
⟨begin
intro h,
obtain ⟨π, rfl⟩ := is_conj_iff.1 h,
apply finset.card_congr (λ a ha, π a) (λ _ ha, _) (λ _ _ _ _ ab, π.injective ab) (λ b hb, _),
{ simp [mem_support.1 ha] },
{ refine ⟨π⁻¹ b, ⟨_, π.apply_inv_self b⟩⟩,
contrapose! hb,
rw [mem_support, not_not] at hb,
rw [mem_support, not_not, perm.mul_apply, perm.mul_apply, hb, perm.apply_inv_self] }
end, hσ.is_conj hτ⟩
@[simp]
lemma support_conj : (σ * τ * σ⁻¹).support = τ.support.map σ.to_embedding :=
begin
ext,
simp only [mem_map_equiv, perm.coe_mul, comp_app, ne.def, perm.mem_support, equiv.eq_symm_apply],
refl,
end
lemma card_support_conj : (σ * τ * σ⁻¹).support.card = τ.support.card :=
by simp
end
theorem disjoint.is_conj_mul {α : Type*} [fintype α] {σ τ π ρ : perm α}
(hc1 : is_conj σ π) (hc2 : is_conj τ ρ)
(hd1 : disjoint σ τ) (hd2 : disjoint π ρ) :
is_conj (σ * τ) (π * ρ) :=
begin
classical,
obtain ⟨f, rfl⟩ := is_conj_iff.1 hc1,
obtain ⟨g, rfl⟩ := is_conj_iff.1 hc2,
have hd1' := coe_inj.2 hd1.support_mul,
have hd2' := coe_inj.2 hd2.support_mul,
rw [coe_union] at *,
have hd1'' := disjoint_iff_disjoint_coe.1 (disjoint_iff_disjoint_support.1 hd1),
have hd2'' := disjoint_iff_disjoint_coe.1 (disjoint_iff_disjoint_support.1 hd2),
refine is_conj_of_support_equiv _ _,
{ refine ((equiv.set.of_eq hd1').trans (equiv.set.union hd1'')).trans
((equiv.sum_congr (subtype_equiv f (λ a, _)) (subtype_equiv g (λ a, _))).trans
((equiv.set.of_eq hd2').trans (equiv.set.union hd2'')).symm);
{ simp only [set.mem_image, to_embedding_apply, exists_eq_right,
support_conj, coe_map, apply_eq_iff_eq] } },
{ intros x hx,
simp only [trans_apply, symm_trans_apply, set.of_eq_apply,
set.of_eq_symm_apply, equiv.sum_congr_apply],
rw [hd1', set.mem_union] at hx,
cases hx with hxσ hxτ,
{ rw [mem_coe, mem_support] at hxσ,
rw [set.union_apply_left hd1'' _, set.union_apply_left hd1'' _],
simp only [subtype_equiv_apply, perm.coe_mul, sum.map_inl, comp_app,
set.union_symm_apply_left, subtype.coe_mk, apply_eq_iff_eq],
{ have h := (hd2 (f x)).resolve_left _,
{ rw [mul_apply, mul_apply] at h,
rw [h, inv_apply_self, (hd1 x).resolve_left hxσ] },
{ rwa [mul_apply, mul_apply, inv_apply_self, apply_eq_iff_eq] } },
{ rwa [subtype.coe_mk, subtype.coe_mk, mem_coe, mem_support] },
{ rwa [subtype.coe_mk, subtype.coe_mk, perm.mul_apply,
(hd1 x).resolve_left hxσ, mem_coe, apply_mem_support, mem_support] } },
{ rw [mem_coe, ← apply_mem_support, mem_support] at hxτ,
rw [set.union_apply_right hd1'' _, set.union_apply_right hd1'' _],
simp only [subtype_equiv_apply, perm.coe_mul, sum.map_inr, comp_app,
set.union_symm_apply_right, subtype.coe_mk, apply_eq_iff_eq],
{ have h := (hd2 (g (τ x))).resolve_right _,
{ rw [mul_apply, mul_apply] at h,
rw [inv_apply_self, h, (hd1 (τ x)).resolve_right hxτ] },
{ rwa [mul_apply, mul_apply, inv_apply_self, apply_eq_iff_eq] } },
{ rwa [subtype.coe_mk, subtype.coe_mk, mem_coe, ← apply_mem_support, mem_support] },
{ rwa [subtype.coe_mk, subtype.coe_mk, perm.mul_apply,
(hd1 (τ x)).resolve_right hxτ, mem_coe, mem_support] } } }
end
section fixed_points
/-!
### Fixed points
-/
lemma fixed_point_card_lt_of_ne_one [fintype α] {σ : perm α} (h : σ ≠ 1) :
(filter (λ x, σ x = x) univ).card < fintype.card α - 1 :=
begin
rw [nat.lt_sub_left_iff_add_lt, ← nat.lt_sub_right_iff_add_lt, ← finset.card_compl,
finset.compl_filter],
exact one_lt_card_support_of_ne_one h
end
end fixed_points
end equiv.perm
|
a7d2e90c02731206cd993b90442d9f41571dcb17 | fe84e287c662151bb313504482b218a503b972f3 | /src/commutative_algebra/bool_field.lean | 520fd3ffa2cf9f9fb40a0fa786112e20debe096b | [] | no_license | NeilStrickland/lean_lib | 91e163f514b829c42fe75636407138b5c75cba83 | 6a9563de93748ace509d9db4302db6cd77d8f92c | refs/heads/master | 1,653,408,198,261 | 1,652,996,419,000 | 1,652,996,419,000 | 181,006,067 | 4 | 1 | null | null | null | null | UTF-8 | Lean | false | false | 942 | lean | import algebra.field.basic
instance : field bool := {
zero := ff, one := tt,
neg := id, inv := id,
add := bxor, mul := band,
zero_add := by { repeat { rintro ⟨_⟩ }; refl },
add_zero := by { repeat { rintro ⟨_⟩ }; refl },
one_mul := by { repeat { rintro ⟨_⟩ }; refl },
mul_one := by { repeat { rintro ⟨_⟩ }; refl },
add_left_neg := by { repeat { rintro ⟨_⟩ }; refl },
add_comm := by { repeat { rintro ⟨_⟩ }; refl },
mul_comm := by { repeat { rintro ⟨_⟩ }; refl },
add_assoc := by { repeat { rintro ⟨_⟩ }; refl },
mul_assoc := by { repeat { rintro ⟨_⟩ }; refl },
left_distrib := by { repeat { rintro ⟨_⟩ }; refl },
right_distrib := by { repeat { rintro ⟨_⟩ }; refl },
mul_inv_cancel := λ a ha, by { cases a, { exact false.elim (ha rfl) }, { refl }},
inv_zero := rfl,
exists_pair_ne := by { use tt, use ff }
}
|
28e4ccff6cbb07f469465e7897d78e7b46cacc29 | 07c76fbd96ea1786cc6392fa834be62643cea420 | /hott/algebra/category/functor/adjoint2.hlean | 475924dba435f4352a6734a293fc7c738258ce24 | [
"Apache-2.0"
] | permissive | fpvandoorn/lean2 | 5a430a153b570bf70dc8526d06f18fc000a60ad9 | 0889cf65b7b3cebfb8831b8731d89c2453dd1e9f | refs/heads/master | 1,592,036,508,364 | 1,545,093,958,000 | 1,545,093,958,000 | 75,436,854 | 0 | 0 | null | 1,480,718,780,000 | 1,480,718,780,000 | null | UTF-8 | Lean | false | false | 1,556 | hlean |
import .equivalence
open eq functor nat_trans prod prod.ops
namespace category
variables {C D E : Precategory} (F : C ⇒ D) (G : D ⇒ C) (H : D ≅c E)
/-
definition adjoint_compose [constructor] (K : F ⊣ G)
: H ∘f F ⊣ G ∘f H⁻¹ᴱ :=
begin
fconstructor,
{ fapply change_natural_map,
{ exact calc
1 ⟹ G ∘f F : to_unit K
... ⟹ (G ∘f 1) ∘f F : !id_right_natural_rev ∘nf F
... ⟹ (G ∘f (H⁻¹ ∘f H)) ∘f F : (G ∘fn unit H) ∘nf F
... ⟹ ((G ∘f H⁻¹) ∘f H) ∘f F : !assoc_natural ∘nf F
... ⟹ (G ∘f H⁻¹) ∘f (H ∘f F) : assoc_natural_rev},
{ intro c, esimp, exact G (unit H (F c)) ∘ to_unit K c},
{ intro c, rewrite [▸*, +id_left]}},
{ fapply change_natural_map,
{ exact calc
(H ∘f F) ∘f (G ∘f H⁻¹)
⟹ ((H ∘f F) ∘f G) ∘f H⁻¹ : assoc_natural
... ⟹ (H ∘f (F ∘f G)) ∘f H⁻¹ : !assoc_natural_rev ∘nf H⁻¹
... ⟹ (H ∘f 1) ∘f H⁻¹ : (H ∘fn to_counit K) ∘nf H⁻¹
... ⟹ H ∘f H⁻¹ : !id_right_natural ∘nf H⁻¹
... ⟹ 1 : counit H},
{ intro e, esimp, exact counit H e ∘ to_fun_hom H (to_counit K (H⁻¹ e))},
{ intro c, rewrite [▸*, +id_right, +id_left]}},
{ intro c, rewrite [▸*, +respect_comp], refine !assoc ⬝ ap (λx, x ∘ _) !assoc⁻¹ ⬝ _,
rewrite [-respect_comp],
},
{ }
end
-/
end category
|
e8c14467de5032529346ef07850a83a7b4d6fef5 | a9d0fb7b0e4f802bd3857b803e6c5c23d87fef91 | /tests/lean/run/st_options.lean | f981d9a6ca24dab962d4c8251ba10af5dd9964a9 | [
"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 | 2,498 | lean | structure [class] semigroup (A : Type*) extends has_mul A :=
(mul_assoc : ∀a b c, mul (mul a b) c = mul a (mul b c))
structure [class] comm_semigroup (A : Type*) extends semigroup A :=
(mul_comm : ∀a b, mul a b = mul b a)
structure [class] left_cancel_semigroup (A : Type*) extends semigroup A :=
(mul_left_cancel : ∀a b c, mul a b = mul a c → b = c)
structure [class] right_cancel_semigroup (A : Type*) extends semigroup A :=
(mul_right_cancel : ∀a b c, mul a b = mul c b → a = c)
structure [class] add_semigroup (A : Type*) extends has_add A :=
(add_assoc : ∀a b c, add (add a b) c = add a (add b c))
structure [class] add_comm_semigroup (A : Type*) extends add_semigroup A :=
(add_comm : ∀a b, add a b = add b a)
structure [class] add_left_cancel_semigroup (A : Type*) extends add_semigroup A :=
(add_left_cancel : ∀a b c, add a b = add a c → b = c)
structure [class] add_right_cancel_semigroup (A : Type*) extends add_semigroup A :=
(add_right_cancel : ∀a b c, add a b = add c b → a = c)
structure [class] monoid (A : Type*) extends semigroup A, has_one A :=
(one_mul : ∀a, mul one a = a) (mul_one : ∀a, mul a one = a)
structure [class] comm_monoid (A : Type*) extends monoid A, comm_semigroup A
structure [class] add_monoid (A : Type*) extends add_semigroup A, has_zero A :=
(zero_add : ∀a, add zero a = a) (add_zero : ∀a, add a zero = a)
structure [class] add_comm_monoid (A : Type*) extends add_monoid A, add_comm_semigroup A
structure [class] group (A : Type*) extends monoid A, has_inv A :=
(mul_left_inv : ∀a, mul (inv a) a = one)
structure [class] comm_group (A : Type*) extends group A, comm_monoid A
structure [class] add_group (A : Type*) extends add_monoid A, has_neg A :=
(add_left_inv : ∀a, add (neg a) a = zero)
structure [class] add_comm_group (A : Type*) extends add_group A, add_comm_monoid A
structure [class] distrib (A : Type*) extends has_mul A, has_add A :=
(left_distrib : ∀a b c, mul a (add b c) = add (mul a b) (mul a c))
(right_distrib : ∀a b c, mul (add a b) c = add (mul a c) (mul b c))
structure [class] mul_zero_class (A : Type*) extends has_mul A, has_zero A :=
(zero_mul : ∀a, mul zero a = zero)
(mul_zero : ∀a, mul a zero = zero)
structure [class] zero_ne_one_class (A : Type*) extends has_zero A, has_one A :=
(zero_ne_one : zero ≠ one)
structure [class] semiring (A : Type*) extends add_comm_monoid A, monoid A, distrib A,
mul_zero_class A, zero_ne_one_class A
set_option pp.implicit true
|
9fcc8d15422058a71f8fb1fc077ba713d691c833 | 947fa6c38e48771ae886239b4edce6db6e18d0fb | /src/analysis/special_functions/trigonometric/arctan_deriv.lean | 80962df871ee936997c3d4738cb439f4bdad8c09 | [
"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 | 7,635 | lean | /-
Copyright (c) 2018 Chris Hughes. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Chris Hughes, Abhimanyu Pallavi Sudhir, Jean Lo, Calle Sönne, Benjamin Davidson
-/
import analysis.special_functions.trigonometric.arctan
import analysis.special_functions.trigonometric.complex_deriv
/-!
# Derivatives of the `tan` and `arctan` functions.
Continuity and derivatives of the tangent and arctangent functions.
-/
noncomputable theory
namespace real
open set filter
open_locale topological_space real
lemma has_strict_deriv_at_tan {x : ℝ} (h : cos x ≠ 0) :
has_strict_deriv_at tan (1 / (cos x)^2) x :=
by exact_mod_cast (complex.has_strict_deriv_at_tan (by exact_mod_cast h)).real_of_complex
lemma has_deriv_at_tan {x : ℝ} (h : cos x ≠ 0) :
has_deriv_at tan (1 / (cos x)^2) x :=
by exact_mod_cast (complex.has_deriv_at_tan (by exact_mod_cast h)).real_of_complex
lemma tendsto_abs_tan_of_cos_eq_zero {x : ℝ} (hx : cos x = 0) :
tendsto (λ x, abs (tan x)) (𝓝[≠] x) at_top :=
begin
have hx : complex.cos x = 0, by exact_mod_cast hx,
simp only [← complex.abs_of_real, complex.of_real_tan],
refine (complex.tendsto_abs_tan_of_cos_eq_zero hx).comp _,
refine tendsto.inf complex.continuous_of_real.continuous_at _,
exact tendsto_principal_principal.2 (λ y, mt complex.of_real_inj.1)
end
lemma tendsto_abs_tan_at_top (k : ℤ) :
tendsto (λ x, abs (tan x)) (𝓝[≠] ((2 * k + 1) * π / 2)) at_top :=
tendsto_abs_tan_of_cos_eq_zero $ cos_eq_zero_iff.2 ⟨k, rfl⟩
lemma continuous_at_tan {x : ℝ} : continuous_at tan x ↔ cos x ≠ 0 :=
begin
refine ⟨λ hc h₀, _, λ h, (has_deriv_at_tan h).continuous_at⟩,
exact not_tendsto_nhds_of_tendsto_at_top (tendsto_abs_tan_of_cos_eq_zero h₀) _
(hc.norm.tendsto.mono_left inf_le_left)
end
lemma differentiable_at_tan {x : ℝ} : differentiable_at ℝ tan x ↔ cos x ≠ 0 :=
⟨λ h, continuous_at_tan.1 h.continuous_at, λ h, (has_deriv_at_tan h).differentiable_at⟩
@[simp] lemma deriv_tan (x : ℝ) : deriv tan x = 1 / (cos x)^2 :=
if h : cos x = 0 then
have ¬differentiable_at ℝ tan x := mt differentiable_at_tan.1 (not_not.2 h),
by simp [deriv_zero_of_not_differentiable_at this, h, sq]
else (has_deriv_at_tan h).deriv
@[simp] lemma cont_diff_at_tan {n x} : cont_diff_at ℝ n tan x ↔ cos x ≠ 0 :=
⟨λ h, continuous_at_tan.1 h.continuous_at,
λ h, (complex.cont_diff_at_tan.2 $ by exact_mod_cast h).real_of_complex⟩
lemma has_deriv_at_tan_of_mem_Ioo {x : ℝ} (h : x ∈ Ioo (-(π/2):ℝ) (π/2)) :
has_deriv_at tan (1 / (cos x)^2) x :=
has_deriv_at_tan (cos_pos_of_mem_Ioo h).ne'
lemma differentiable_at_tan_of_mem_Ioo {x : ℝ} (h : x ∈ Ioo (-(π/2):ℝ) (π/2)) :
differentiable_at ℝ tan x :=
(has_deriv_at_tan_of_mem_Ioo h).differentiable_at
lemma has_strict_deriv_at_arctan (x : ℝ) : has_strict_deriv_at arctan (1 / (1 + x^2)) x :=
have A : cos (arctan x) ≠ 0 := (cos_arctan_pos x).ne',
by simpa [cos_sq_arctan]
using tan_local_homeomorph.has_strict_deriv_at_symm trivial (by simpa) (has_strict_deriv_at_tan A)
lemma has_deriv_at_arctan (x : ℝ) : has_deriv_at arctan (1 / (1 + x^2)) x :=
(has_strict_deriv_at_arctan x).has_deriv_at
lemma differentiable_at_arctan (x : ℝ) : differentiable_at ℝ arctan x :=
(has_deriv_at_arctan x).differentiable_at
lemma differentiable_arctan : differentiable ℝ arctan := differentiable_at_arctan
@[simp] lemma deriv_arctan : deriv arctan = (λ x, 1 / (1 + x^2)) :=
funext $ λ x, (has_deriv_at_arctan x).deriv
lemma cont_diff_arctan {n : with_top ℕ} : cont_diff ℝ n arctan :=
cont_diff_iff_cont_diff_at.2 $ λ x,
have cos (arctan x) ≠ 0 := (cos_arctan_pos x).ne',
tan_local_homeomorph.cont_diff_at_symm_deriv (by simpa) trivial (has_deriv_at_tan this)
(cont_diff_at_tan.2 this)
end real
section
/-!
### Lemmas for derivatives of the composition of `real.arctan` with a differentiable function
In this section we register lemmas for the derivatives of the composition of `real.arctan` with a
differentiable function, for standalone use and use with `simp`. -/
open real
section deriv
variables {f : ℝ → ℝ} {f' x : ℝ} {s : set ℝ}
lemma has_strict_deriv_at.arctan (hf : has_strict_deriv_at f f' x) :
has_strict_deriv_at (λ x, arctan (f x)) ((1 / (1 + (f x)^2)) * f') x :=
(real.has_strict_deriv_at_arctan (f x)).comp x hf
lemma has_deriv_at.arctan (hf : has_deriv_at f f' x) :
has_deriv_at (λ x, arctan (f x)) ((1 / (1 + (f x)^2)) * f') x :=
(real.has_deriv_at_arctan (f x)).comp x hf
lemma has_deriv_within_at.arctan (hf : has_deriv_within_at f f' s x) :
has_deriv_within_at (λ x, arctan (f x)) ((1 / (1 + (f x)^2)) * f') s x :=
(real.has_deriv_at_arctan (f x)).comp_has_deriv_within_at x hf
lemma deriv_within_arctan (hf : differentiable_within_at ℝ f s x)
(hxs : unique_diff_within_at ℝ s x) :
deriv_within (λ x, arctan (f x)) s x = (1 / (1 + (f x)^2)) * (deriv_within f s x) :=
hf.has_deriv_within_at.arctan.deriv_within hxs
@[simp] lemma deriv_arctan (hc : differentiable_at ℝ f x) :
deriv (λ x, arctan (f x)) x = (1 / (1 + (f x)^2)) * (deriv f x) :=
hc.has_deriv_at.arctan.deriv
end deriv
section fderiv
variables {E : Type*} [normed_add_comm_group E] [normed_space ℝ E] {f : E → ℝ} {f' : E →L[ℝ] ℝ}
{x : E} {s : set E} {n : with_top ℕ}
lemma has_strict_fderiv_at.arctan (hf : has_strict_fderiv_at f f' x) :
has_strict_fderiv_at (λ x, arctan (f x)) ((1 / (1 + (f x)^2)) • f') x :=
(has_strict_deriv_at_arctan (f x)).comp_has_strict_fderiv_at x hf
lemma has_fderiv_at.arctan (hf : has_fderiv_at f f' x) :
has_fderiv_at (λ x, arctan (f x)) ((1 / (1 + (f x)^2)) • f') x :=
(has_deriv_at_arctan (f x)).comp_has_fderiv_at x hf
lemma has_fderiv_within_at.arctan (hf : has_fderiv_within_at f f' s x) :
has_fderiv_within_at (λ x, arctan (f x)) ((1 / (1 + (f x)^2)) • f') s x :=
(has_deriv_at_arctan (f x)).comp_has_fderiv_within_at x hf
lemma fderiv_within_arctan (hf : differentiable_within_at ℝ f s x)
(hxs : unique_diff_within_at ℝ s x) :
fderiv_within ℝ (λ x, arctan (f x)) s x = (1 / (1 + (f x)^2)) • (fderiv_within ℝ f s x) :=
hf.has_fderiv_within_at.arctan.fderiv_within hxs
@[simp] lemma fderiv_arctan (hc : differentiable_at ℝ f x) :
fderiv ℝ (λ x, arctan (f x)) x = (1 / (1 + (f x)^2)) • (fderiv ℝ f x) :=
hc.has_fderiv_at.arctan.fderiv
lemma differentiable_within_at.arctan (hf : differentiable_within_at ℝ f s x) :
differentiable_within_at ℝ (λ x, real.arctan (f x)) s x :=
hf.has_fderiv_within_at.arctan.differentiable_within_at
@[simp] lemma differentiable_at.arctan (hc : differentiable_at ℝ f x) :
differentiable_at ℝ (λ x, arctan (f x)) x :=
hc.has_fderiv_at.arctan.differentiable_at
lemma differentiable_on.arctan (hc : differentiable_on ℝ f s) :
differentiable_on ℝ (λ x, arctan (f x)) s :=
λ x h, (hc x h).arctan
@[simp] lemma differentiable.arctan (hc : differentiable ℝ f) :
differentiable ℝ (λ x, arctan (f x)) :=
λ x, (hc x).arctan
lemma cont_diff_at.arctan (h : cont_diff_at ℝ n f x) :
cont_diff_at ℝ n (λ x, arctan (f x)) x :=
cont_diff_arctan.cont_diff_at.comp x h
lemma cont_diff.arctan (h : cont_diff ℝ n f) :
cont_diff ℝ n (λ x, arctan (f x)) :=
cont_diff_arctan.comp h
lemma cont_diff_within_at.arctan (h : cont_diff_within_at ℝ n f s x) :
cont_diff_within_at ℝ n (λ x, arctan (f x)) s x :=
cont_diff_arctan.comp_cont_diff_within_at h
lemma cont_diff_on.arctan (h : cont_diff_on ℝ n f s) :
cont_diff_on ℝ n (λ x, arctan (f x)) s :=
cont_diff_arctan.comp_cont_diff_on h
end fderiv
end
|
3f8d61d3e88e8cebdbdab9ac5a5ca63aed188dfd | 8b9f17008684d796c8022dab552e42f0cb6fb347 | /hott/hit/colimit.hlean | 3ee947f81d1e98682be002f15751d6a336c2cbbe | [
"Apache-2.0"
] | permissive | chubbymaggie/lean | 0d06ae25f9dd396306fb02190e89422ea94afd7b | d2c7b5c31928c98f545b16420d37842c43b4ae9a | refs/heads/master | 1,611,313,622,901 | 1,430,266,839,000 | 1,430,267,083,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 6,009 | hlean | /-
Copyright (c) 2015 Floris van Doorn. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Module: hit.colimit
Authors: Floris van Doorn
Definition of general colimits and sequential colimits.
-/
/- definition of a general colimit -/
open eq nat type_quotient sigma equiv
namespace colimit
section
parameters {I J : Type} (A : I → Type) (dom cod : J → I)
(f : Π(j : J), A (dom j) → A (cod j))
variables {i : I} (a : A i) (j : J) (b : A (dom j))
local abbreviation B := Σ(i : I), A i
inductive colim_rel : B → B → Type :=
| Rmk : Π{j : J} (a : A (dom j)), colim_rel ⟨cod j, f j a⟩ ⟨dom j, a⟩
open colim_rel
local abbreviation R := colim_rel
-- TODO: define this in root namespace
definition colimit : Type :=
type_quotient colim_rel
definition incl : colimit :=
class_of R ⟨i, a⟩
abbreviation ι := @incl
definition cglue : ι (f j b) = ι b :=
eq_of_rel (Rmk f b)
protected definition rec {P : colimit → Type}
(Pincl : Π⦃i : I⦄ (x : A i), P (ι x))
(Pglue : Π(j : J) (x : A (dom j)), cglue j x ▹ Pincl (f j x) = Pincl x)
(y : colimit) : P y :=
begin
fapply (type_quotient.rec_on y),
{ intro a, cases a, apply Pincl},
{ intros [a, a', H], cases H, apply Pglue}
end
protected definition rec_on [reducible] {P : colimit → Type} (y : colimit)
(Pincl : Π⦃i : I⦄ (x : A i), P (ι x))
(Pglue : Π(j : J) (x : A (dom j)), cglue j x ▹ Pincl (f j x) = Pincl x) : P y :=
rec Pincl Pglue y
definition rec_cglue [reducible] {P : colimit → Type}
(Pincl : Π⦃i : I⦄ (x : A i), P (ι x))
(Pglue : Π(j : J) (x : A (dom j)), cglue j x ▹ Pincl (f j x) = Pincl x)
{j : J} (x : A (dom j)) : apD (rec Pincl Pglue) (cglue j x) = Pglue j x :=
sorry
protected definition elim {P : Type} (Pincl : Π⦃i : I⦄ (x : A i), P)
(Pglue : Π(j : J) (x : A (dom j)), Pincl (f j x) = Pincl x) (y : colimit) : P :=
rec Pincl (λj a, !tr_constant ⬝ Pglue j a) y
protected definition elim_on [reducible] {P : Type} (y : colimit)
(Pincl : Π⦃i : I⦄ (x : A i), P)
(Pglue : Π(j : J) (x : A (dom j)), Pincl (f j x) = Pincl x) : P :=
elim Pincl Pglue y
definition elim_cglue [reducible] {P : Type}
(Pincl : Π⦃i : I⦄ (x : A i), P)
(Pglue : Π(j : J) (x : A (dom j)), Pincl (f j x) = Pincl x)
{j : J} (x : A (dom j)) : ap (elim Pincl Pglue) (cglue j x) = Pglue j x :=
sorry
protected definition elim_type (Pincl : Π⦃i : I⦄ (x : A i), Type)
(Pglue : Π(j : J) (x : A (dom j)), Pincl (f j x) ≃ Pincl x) (y : colimit) : Type :=
elim Pincl (λj a, ua (Pglue j a)) y
protected definition elim_type_on [reducible] (y : colimit)
(Pincl : Π⦃i : I⦄ (x : A i), Type)
(Pglue : Π(j : J) (x : A (dom j)), Pincl (f j x) ≃ Pincl x) : Type :=
elim_type Pincl Pglue y
definition elim_type_cglue [reducible] (Pincl : Π⦃i : I⦄ (x : A i), Type)
(Pglue : Π(j : J) (x : A (dom j)), Pincl (f j x) ≃ Pincl x)
{j : J} (x : A (dom j)) : transport (elim_type Pincl Pglue) (cglue j x) = sorry /-Pglue j x-/ :=
sorry
end
end colimit
/- definition of a sequential colimit -/
namespace seq_colim
section
parameters {A : ℕ → Type} (f : Π⦃n⦄, A n → A (succ n))
variables {n : ℕ} (a : A n)
local abbreviation B := Σ(n : ℕ), A n
inductive seq_rel : B → B → Type :=
| Rmk : Π{n : ℕ} (a : A n), seq_rel ⟨succ n, f a⟩ ⟨n, a⟩
open seq_rel
local abbreviation R := seq_rel
-- TODO: define this in root namespace
definition seq_colim : Type :=
type_quotient seq_rel
definition inclusion : seq_colim :=
class_of R ⟨n, a⟩
abbreviation sι := @inclusion
definition glue : sι (f a) = sι a :=
eq_of_rel (Rmk f a)
protected definition rec [reducible] {P : seq_colim → Type}
(Pincl : Π⦃n : ℕ⦄ (a : A n), P (sι a))
(Pglue : Π(n : ℕ) (a : A n), glue a ▹ Pincl (f a) = Pincl a) (aa : seq_colim) : P aa :=
begin
fapply (type_quotient.rec_on aa),
{ intro a, cases a, apply Pincl},
{ intros [a, a', H], cases H, apply Pglue}
end
protected definition rec_on [reducible] {P : seq_colim → Type} (aa : seq_colim)
(Pincl : Π⦃n : ℕ⦄ (a : A n), P (sι a))
(Pglue : Π⦃n : ℕ⦄ (a : A n), glue a ▹ Pincl (f a) = Pincl a)
: P aa :=
rec Pincl Pglue aa
protected definition elim {P : Type} (Pincl : Π⦃n : ℕ⦄ (a : A n), P)
(Pglue : Π⦃n : ℕ⦄ (a : A n), Pincl (f a) = Pincl a) : seq_colim → P :=
rec Pincl (λn a, !tr_constant ⬝ Pglue a)
protected definition elim_on [reducible] {P : Type} (aa : seq_colim)
(Pincl : Π⦃n : ℕ⦄ (a : A n), P)
(Pglue : Π⦃n : ℕ⦄ (a : A n), Pincl (f a) = Pincl a) : P :=
elim Pincl Pglue aa
definition rec_glue {P : seq_colim → Type} (Pincl : Π⦃n : ℕ⦄ (a : A n), P (sι a))
(Pglue : Π⦃n : ℕ⦄ (a : A n), glue a ▹ Pincl (f a) = Pincl a) {n : ℕ} (a : A n)
: apD (rec Pincl Pglue) (glue a) = sorry ⬝ Pglue a ⬝ sorry :=
sorry
definition elim_glue {P : Type} (Pincl : Π⦃n : ℕ⦄ (a : A n), P)
(Pglue : Π⦃n : ℕ⦄ (a : A n), Pincl (f a) = Pincl a) {n : ℕ} (a : A n)
: ap (elim Pincl Pglue) (glue a) = sorry ⬝ Pglue a ⬝ sorry :=
sorry
protected definition elim_type (Pincl : Π⦃n : ℕ⦄ (a : A n), Type)
(Pglue : Π⦃n : ℕ⦄ (a : A n), Pincl (f a) ≃ Pincl a) : seq_colim → Type :=
elim Pincl (λn a, ua (Pglue a))
protected definition elim_type_on [reducible] (aa : seq_colim)
(Pincl : Π⦃n : ℕ⦄ (a : A n), Type)
(Pglue : Π⦃n : ℕ⦄ (a : A n), Pincl (f a) ≃ Pincl a) : Type :=
elim_type Pincl Pglue aa
definition elim_type_glue (Pincl : Π⦃n : ℕ⦄ (a : A n), Type)
(Pglue : Π⦃n : ℕ⦄ (a : A n), Pincl (f a) ≃ Pincl a) {n : ℕ} (a : A n)
: transport (elim_type Pincl Pglue) (glue a) = sorry /-Pglue a-/ :=
sorry
end
end seq_colim
|
480209021cc5ce36d34e7dde8ea114d2ce65d74a | 4727251e0cd73359b15b664c3170e5d754078599 | /src/linear_algebra/coevaluation.lean | 32dcc3dd480c5901b2b2ce8f4715c2f4c24dba6f | [
"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 | 4,156 | lean | /-
Copyright (c) 2021 Jakob von Raumer. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jakob von Raumer
-/
import linear_algebra.contraction
import linear_algebra.finite_dimensional
import linear_algebra.dual
/-!
# The coevaluation map on finite dimensional vector spaces
Given a finite dimensional vector space `V` over a field `K` this describes the canonical linear map
from `K` to `V ⊗ dual K V` which corresponds to the identity function on `V`.
## Tags
coevaluation, dual module, tensor product
## Future work
* Prove that this is independent of the choice of basis on `V`.
-/
noncomputable theory
section coevaluation
open tensor_product finite_dimensional
open_locale tensor_product big_operators
universes u v
variables (K : Type u) [field K]
variables (V : Type v) [add_comm_group V] [module K V] [finite_dimensional K V]
/-- The coevaluation map is a linear map from a field `K` to a finite dimensional
vector space `V`. -/
def coevaluation : K →ₗ[K] V ⊗[K] (module.dual K V) :=
let bV := basis.of_vector_space K V in
(basis.singleton unit K).constr K $
λ _, ∑ (i : basis.of_vector_space_index K V), bV i ⊗ₜ[K] bV.coord i
lemma coevaluation_apply_one :
(coevaluation K V) (1 : K) =
let bV := basis.of_vector_space K V in
∑ (i : basis.of_vector_space_index K V), bV i ⊗ₜ[K] bV.coord i :=
begin
simp only [coevaluation, id],
rw [(basis.singleton unit K).constr_apply_fintype K],
simp only [fintype.univ_punit, finset.sum_const, one_smul, basis.singleton_repr,
basis.equiv_fun_apply,basis.coe_of_vector_space, one_nsmul, finset.card_singleton],
end
open tensor_product
/-- This lemma corresponds to one of the coherence laws for duals in rigid categories, see
`category_theory.monoidal.rigid`. -/
lemma contract_left_assoc_coevaluation :
((contract_left K V).rtensor _)
∘ₗ (tensor_product.assoc K _ _ _).symm.to_linear_map
∘ₗ ((coevaluation K V).ltensor (module.dual K V))
= (tensor_product.lid K _).symm.to_linear_map ∘ₗ (tensor_product.rid K _).to_linear_map :=
begin
letI := classical.dec_eq (basis.of_vector_space_index K V),
apply tensor_product.ext,
apply (basis.of_vector_space K V).dual_basis.ext, intro j, apply linear_map.ext_ring,
rw [linear_map.compr₂_apply, linear_map.compr₂_apply, tensor_product.mk_apply],
simp only [linear_map.coe_comp, function.comp_app, linear_equiv.coe_to_linear_map],
rw [rid_tmul, one_smul, lid_symm_apply],
simp only [linear_equiv.coe_to_linear_map, linear_map.ltensor_tmul, coevaluation_apply_one],
rw [tensor_product.tmul_sum, linear_equiv.map_sum], simp only [assoc_symm_tmul],
rw [linear_map.map_sum], simp only [linear_map.rtensor_tmul, contract_left_apply],
simp only [basis.coe_dual_basis, basis.coord_apply, basis.repr_self_apply,
tensor_product.ite_tmul],
rw [finset.sum_ite_eq'], simp only [finset.mem_univ, if_true]
end
/-- This lemma corresponds to one of the coherence laws for duals in rigid categories, see
`category_theory.monoidal.rigid`. -/
lemma contract_left_assoc_coevaluation' :
((contract_left K V).ltensor _)
∘ₗ (tensor_product.assoc K _ _ _).to_linear_map
∘ₗ ((coevaluation K V).rtensor V)
= (tensor_product.rid K _).symm.to_linear_map ∘ₗ (tensor_product.lid K _).to_linear_map :=
begin
letI := classical.dec_eq (basis.of_vector_space_index K V),
apply tensor_product.ext,
apply linear_map.ext_ring, apply (basis.of_vector_space K V).ext, intro j,
rw [linear_map.compr₂_apply, linear_map.compr₂_apply, tensor_product.mk_apply],
simp only [linear_map.coe_comp, function.comp_app, linear_equiv.coe_to_linear_map],
rw [lid_tmul, one_smul, rid_symm_apply],
simp only [linear_equiv.coe_to_linear_map, linear_map.rtensor_tmul, coevaluation_apply_one],
rw [tensor_product.sum_tmul, linear_equiv.map_sum], simp only [assoc_tmul],
rw [linear_map.map_sum], simp only [linear_map.ltensor_tmul, contract_left_apply],
simp only [basis.coord_apply, basis.repr_self_apply, tensor_product.tmul_ite],
rw [finset.sum_ite_eq], simp only [finset.mem_univ, if_true]
end
end coevaluation
|
bead80dc819e4683b39caf5fb6d162997e566cb0 | 4727251e0cd73359b15b664c3170e5d754078599 | /src/category_theory/limits/shapes/wide_equalizers.lean | 552590841f4630502b3e2f22dc5de7944c32d7f0 | [
"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 | 27,879 | lean | /-
Copyright (c) 2021 Bhavik Mehta. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Bhavik Mehta
-/
import category_theory.epi_mono
import category_theory.limits.has_limits
import category_theory.limits.shapes.equalizers
/-!
# Wide equalizers and wide coequalizers
This file defines wide (co)equalizers as special cases of (co)limits.
A wide equalizer for the family of morphisms `X ⟶ Y` indexed by `J` is the categorical
generalization of the subobject `{a ∈ A | ∀ j₁ j₂, f(j₁, a) = f(j₂, a)}`. Note that if `J` has
fewer than two morphisms this condition is trivial, so some lemmas and definitions assume `J` is
nonempty.
## Main definitions
* `walking_parallel_family` is the indexing category used for wide (co)equalizer diagrams
* `parallel_family` is a functor from `walking_parallel_family` to our category `C`.
* a `trident` is a cone over a parallel family.
* there is really only one interesting morphism in a trident: the arrow from the vertex of the
trident to the domain of f and g. It is called `trident.ι`.
* a `wide_equalizer` is now just a `limit (parallel_family f)`
Each of these has a dual.
## Main statements
* `wide_equalizer.ι_mono` states that every wide_equalizer map is a monomorphism
* `is_iso_limit_cone_parallel_family_of_self` states that the identity on the domain of `f` is an
equalizer of `f` and `f`.
## 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 1*][borceux-vol1]
-/
noncomputable theory
namespace category_theory.limits
open category_theory
universes v u u₂
variables {J : Type v}
/-- The type of objects for the diagram indexing a wide (co)equalizer. -/
inductive walking_parallel_family (J : Type v) : Type v
| zero : walking_parallel_family
| one : walking_parallel_family
open walking_parallel_family
instance : decidable_eq (walking_parallel_family J)
| zero zero := is_true rfl
| zero one := is_false (λ t, walking_parallel_family.no_confusion t)
| one zero := is_false (λ t, walking_parallel_family.no_confusion t)
| one one := is_true rfl
instance : inhabited (walking_parallel_family J) := ⟨zero⟩
/-- The type family of morphisms for the diagram indexing a wide (co)equalizer. -/
@[derive decidable_eq] inductive walking_parallel_family.hom (J : Type v) :
walking_parallel_family J → walking_parallel_family J → Type v
| id : Π X : walking_parallel_family.{v} J, walking_parallel_family.hom X X
| line : Π (j : J), walking_parallel_family.hom zero one
/-- Satisfying the inhabited linter -/
instance (J : Type v) : inhabited (walking_parallel_family.hom J zero zero) :=
{ default := hom.id _ }
open walking_parallel_family.hom
/-- Composition of morphisms in the indexing diagram for wide (co)equalizers. -/
def walking_parallel_family.hom.comp :
Π (X Y Z : walking_parallel_family J)
(f : walking_parallel_family.hom J X Y) (g : walking_parallel_family.hom J Y Z),
walking_parallel_family.hom J X Z
| _ _ _ (id _) h := h
| _ _ _ (line j) (id one) := line j.
local attribute [tidy] tactic.case_bash
instance walking_parallel_family.category : small_category (walking_parallel_family J) :=
{ hom := walking_parallel_family.hom J,
id := walking_parallel_family.hom.id,
comp := walking_parallel_family.hom.comp }
@[simp]
lemma walking_parallel_family.hom_id (X : walking_parallel_family J) :
walking_parallel_family.hom.id X = 𝟙 X :=
rfl
variables {C : Type u} [category.{v} C]
variables {X Y : C} (f : J → (X ⟶ Y))
/--
`parallel_family f` is the diagram in `C` consisting of the given family of morphisms, each with
common domain and codomain.
-/
def parallel_family : walking_parallel_family J ⥤ C :=
{ obj := λ x, walking_parallel_family.cases_on x X Y,
map := λ x y h, match x, y, h with
| _, _, (id _) := 𝟙 _
| _, _, (line j) := f j
end,
map_comp' :=
begin
rintro _ _ _ ⟨⟩ ⟨⟩;
{ unfold_aux, simp; refl },
end }
@[simp] lemma parallel_family_obj_zero : (parallel_family f).obj zero = X := rfl
@[simp] lemma parallel_family_obj_one : (parallel_family f).obj one = Y := rfl
@[simp] lemma parallel_family_map_left {j : J} : (parallel_family f).map (line j) = f j := rfl
/-- Every functor indexing a wide (co)equalizer is naturally isomorphic (actually, equal) to a
`parallel_family` -/
@[simps]
def diagram_iso_parallel_family (F : walking_parallel_family J ⥤ C) :
F ≅ parallel_family (λ j, F.map (line j)) :=
nat_iso.of_components (λ j, eq_to_iso $ by cases j; tidy) $ by tidy
/-- `walking_parallel_pair` as a category is equivalent to a special case of
`walking_parallel_family`. -/
@[simps]
def walking_parallel_family_equiv_walking_parallel_pair :
walking_parallel_family.{v} (ulift bool) ≌ walking_parallel_pair.{v} :=
{ functor := parallel_family
(λ p, cond p.down walking_parallel_pair_hom.left walking_parallel_pair_hom.right),
inverse := parallel_pair (line (ulift.up tt)) (line (ulift.up ff)),
unit_iso := nat_iso.of_components (λ X, eq_to_iso (by cases X; refl)) (by tidy),
counit_iso := nat_iso.of_components (λ X, eq_to_iso (by cases X; refl)) (by tidy) }
/-- A trident on `f` is just a `cone (parallel_family f)`. -/
abbreviation trident := cone (parallel_family f)
/-- A cotrident on `f` and `g` is just a `cocone (parallel_family f)`. -/
abbreviation cotrident := cocone (parallel_family f)
variables {f}
/-- A trident `t` on the parallel family `f : J → (X ⟶ Y)` consists of two morphisms
`t.π.app zero : t.X ⟶ X` and `t.π.app one : t.X ⟶ Y`. Of these, only the first one is
interesting, and we give it the shorter name `trident.ι t`. -/
abbreviation trident.ι (t : trident f) := t.π.app zero
/-- A cotrident `t` on the parallel family `f : J → (X ⟶ Y)` consists of two morphisms
`t.ι.app zero : X ⟶ t.X` and `t.ι.app one : Y ⟶ t.X`. Of these, only the second one is
interesting, and we give it the shorter name `cotrident.π t`. -/
abbreviation cotrident.π (t : cotrident f) := t.ι.app one
@[simp] lemma trident.ι_eq_app_zero (t : trident f) : t.ι = t.π.app zero := rfl
@[simp] lemma cotrident.π_eq_app_one (t : cotrident f) : t.π = t.ι.app one := rfl
@[simp, reassoc] lemma trident.app_zero (s : trident f) (j : J) :
s.π.app zero ≫ f j = s.π.app one :=
by rw [←s.w (line j), parallel_family_map_left]
@[simp, reassoc] lemma cotrident.app_one (s : cotrident f) (j : J) :
f j ≫ s.ι.app one = s.ι.app zero :=
by rw [←s.w (line j), parallel_family_map_left]
/--
A trident on `f : J → (X ⟶ Y)` is determined by the morphism `ι : P ⟶ X` satisfying
`∀ j₁ j₂, ι ≫ f j₁ = ι ≫ f j₂`.
-/
@[simps]
def trident.of_ι [nonempty J] {P : C} (ι : P ⟶ X) (w : ∀ j₁ j₂, ι ≫ f j₁ = ι ≫ f j₂) :
trident f :=
{ X := P,
π :=
{ app := λ X, walking_parallel_family.cases_on X ι (ι ≫ f (classical.arbitrary J)),
naturality' := λ i j f,
begin
dsimp,
cases f with _ k,
{ simp },
{ simp [w (classical.arbitrary J) k] },
end } }
/--
A cotrident on `f : J → (X ⟶ Y)` is determined by the morphism `π : Y ⟶ P` satisfying
`∀ j₁ j₂, f j₁ ≫ π = f j₂ ≫ π`.
-/
@[simps]
def cotrident.of_π [nonempty J] {P : C} (π : Y ⟶ P) (w : ∀ j₁ j₂, f j₁ ≫ π = f j₂ ≫ π) :
cotrident f :=
{ X := P,
ι :=
{ app := λ X, walking_parallel_family.cases_on X (f (classical.arbitrary J) ≫ π) π,
naturality' := λ i j f,
begin
dsimp,
cases f with _ k,
{ simp },
{ simp [w (classical.arbitrary J) k] }
end } } -- See note [dsimp, simp]
lemma trident.ι_of_ι [nonempty J] {P : C} (ι : P ⟶ X) (w : ∀ j₁ j₂, ι ≫ f j₁ = ι ≫ f j₂) :
(trident.of_ι ι w).ι = ι := rfl
lemma cotrident.π_of_π [nonempty J] {P : C} (π : Y ⟶ P) (w : ∀ j₁ j₂, f j₁ ≫ π = f j₂ ≫ π) :
(cotrident.of_π π w).π = π := rfl
@[reassoc]
lemma trident.condition (j₁ j₂ : J) (t : trident f) : t.ι ≫ f j₁ = t.ι ≫ f j₂ :=
by rw [t.app_zero, t.app_zero]
@[reassoc]
lemma cotrident.condition (j₁ j₂ : J) (t : cotrident f) : f j₁ ≫ t.π = f j₂ ≫ t.π :=
by rw [t.app_one, t.app_one]
/-- To check whether two maps are equalized by both maps of a trident, it suffices to check it for
the first map -/
lemma trident.equalizer_ext [nonempty J] (s : trident f) {W : C} {k l : W ⟶ s.X}
(h : k ≫ s.ι = l ≫ s.ι) : ∀ (j : walking_parallel_family J),
k ≫ s.π.app j = l ≫ s.π.app j
| zero := h
| one := by rw [←s.app_zero (classical.arbitrary J), reassoc_of h]
/-- To check whether two maps are coequalized by both maps of a cotrident, it suffices to check it
for the second map -/
lemma cotrident.coequalizer_ext [nonempty J] (s : cotrident f) {W : C} {k l : s.X ⟶ W}
(h : s.π ≫ k = s.π ≫ l) : ∀ (j : walking_parallel_family J),
s.ι.app j ≫ k = s.ι.app j ≫ l
| zero := by rw [←s.app_one (classical.arbitrary J), category.assoc, category.assoc, h]
| one := h
lemma trident.is_limit.hom_ext [nonempty J] {s : trident f} (hs : is_limit s)
{W : C} {k l : W ⟶ s.X} (h : k ≫ s.ι = l ≫ s.ι) :
k = l :=
hs.hom_ext $ trident.equalizer_ext _ h
lemma cotrident.is_colimit.hom_ext [nonempty J] {s : cotrident f} (hs : is_colimit s)
{W : C} {k l : s.X ⟶ W} (h : s.π ≫ k = s.π ≫ l) :
k = l :=
hs.hom_ext $ cotrident.coequalizer_ext _ h
/-- If `s` is a limit trident over `f`, then a morphism `k : W ⟶ X` satisfying
`∀ j₁ j₂, k ≫ f j₁ = k ≫ f j₂` induces a morphism `l : W ⟶ s.X` such that
`l ≫ trident.ι s = k`. -/
def trident.is_limit.lift' [nonempty J] {s : trident f} (hs : is_limit s) {W : C} (k : W ⟶ X)
(h : ∀ j₁ j₂, k ≫ f j₁ = k ≫ f j₂) :
{l : W ⟶ s.X // l ≫ trident.ι s = k} :=
⟨hs.lift $ trident.of_ι _ h, hs.fac _ _⟩
/-- If `s` is a colimit cotrident over `f`, then a morphism `k : Y ⟶ W` satisfying
`∀ j₁ j₂, f j₁ ≫ k = f j₂ ≫ k` induces a morphism `l : s.X ⟶ W` such that
`cotrident.π s ≫ l = k`. -/
def cotrident.is_colimit.desc' [nonempty J] {s : cotrident f} (hs : is_colimit s) {W : C}
(k : Y ⟶ W) (h : ∀ j₁ j₂, f j₁ ≫ k = f j₂ ≫ k) :
{l : s.X ⟶ W // cotrident.π s ≫ l = k} :=
⟨hs.desc $ cotrident.of_π _ h, hs.fac _ _⟩
/-- This is a slightly more convenient method to verify that a trident is a limit cone. It
only asks for a proof of facts that carry any mathematical content -/
def trident.is_limit.mk [nonempty J] (t : trident f)
(lift : Π (s : trident f), s.X ⟶ t.X)
(fac : ∀ (s : trident f), lift s ≫ t.ι = s.ι)
(uniq : ∀ (s : trident f) (m : s.X ⟶ t.X)
(w : ∀ j : walking_parallel_family J, m ≫ t.π.app j = s.π.app j), m = lift s) :
is_limit t :=
{ lift := lift,
fac' := λ s j, walking_parallel_family.cases_on j (fac s)
(by rw [←t.w (line (classical.arbitrary J)), reassoc_of fac, s.w]),
uniq' := uniq }
/-- This is another convenient method to verify that a trident is a limit cone. It
only asks for a proof of facts that carry any mathematical content, and allows access to the
same `s` for all parts. -/
def trident.is_limit.mk' [nonempty J] (t : trident f)
(create : Π (s : trident f), {l // l ≫ t.ι = s.ι ∧ ∀ {m}, m ≫ t.ι = s.ι → m = l}) :
is_limit t :=
trident.is_limit.mk t
(λ s, (create s).1)
(λ s, (create s).2.1)
(λ s m w, (create s).2.2 (w zero))
/-- This is a slightly more convenient method to verify that a cotrident is a colimit cocone. It
only asks for a proof of facts that carry any mathematical content -/
def cotrident.is_colimit.mk [nonempty J] (t : cotrident f)
(desc : Π (s : cotrident f), t.X ⟶ s.X)
(fac : ∀ (s : cotrident f), t.π ≫ desc s = s.π)
(uniq : ∀ (s : cotrident f) (m : t.X ⟶ s.X)
(w : ∀ j : walking_parallel_family J, t.ι.app j ≫ m = s.ι.app j), m = desc s) :
is_colimit t :=
{ desc := desc,
fac' := λ s j, walking_parallel_family.cases_on j
(by rw [←t.w_assoc (line (classical.arbitrary J)), fac, s.w]) (fac s),
uniq' := uniq }
/-- This is another convenient method to verify that a cotrident is a colimit cocone. It
only asks for a proof of facts that carry any mathematical content, and allows access to the
same `s` for all parts. -/
def cotrident.is_colimit.mk' [nonempty J] (t : cotrident f)
(create : Π (s : cotrident f), {l : t.X ⟶ s.X // t.π ≫ l = s.π ∧ ∀ {m}, t.π ≫ m = s.π → m = l}) :
is_colimit t :=
cotrident.is_colimit.mk t
(λ s, (create s).1)
(λ s, (create s).2.1)
(λ s m w, (create s).2.2 (w one))
/--
Given a limit cone for the family `f : J → (X ⟶ Y)`, for any `Z`, morphisms from `Z` to its point
are in bijection with morphisms `h : Z ⟶ X` such that `∀ j₁ j₂, h ≫ f j₁ = h ≫ f j₂`.
Further, this bijection is natural in `Z`: see `trident.is_limit.hom_iso_natural`.
-/
@[simps]
def trident.is_limit.hom_iso [nonempty J] {t : trident f} (ht : is_limit t) (Z : C) :
(Z ⟶ t.X) ≃ {h : Z ⟶ X // ∀ j₁ j₂, h ≫ f j₁ = h ≫ f j₂} :=
{ to_fun := λ k, ⟨k ≫ t.ι, by simp⟩,
inv_fun := λ h, (trident.is_limit.lift' ht _ h.prop).1,
left_inv := λ k, trident.is_limit.hom_ext ht (trident.is_limit.lift' _ _ _).prop,
right_inv := λ h, subtype.ext (trident.is_limit.lift' ht _ _).prop }
/-- The bijection of `trident.is_limit.hom_iso` is natural in `Z`. -/
lemma trident.is_limit.hom_iso_natural [nonempty J] {t : trident f} (ht : is_limit t)
{Z Z' : C} (q : Z' ⟶ Z) (k : Z ⟶ t.X) :
(trident.is_limit.hom_iso ht _ (q ≫ k) : Z' ⟶ X) =
q ≫ (trident.is_limit.hom_iso ht _ k : Z ⟶ X) :=
category.assoc _ _ _
/--
Given a colimit cocone for the family `f : J → (X ⟶ Y)`, for any `Z`, morphisms from the cocone
point to `Z` are in bijection with morphisms `h : Z ⟶ X` such that
`∀ j₁ j₂, f j₁ ≫ h = f j₂ ≫ h`. Further, this bijection is natural in `Z`: see
`cotrident.is_colimit.hom_iso_natural`.
-/
@[simps]
def cotrident.is_colimit.hom_iso [nonempty J] {t : cotrident f} (ht : is_colimit t) (Z : C) :
(t.X ⟶ Z) ≃ {h : Y ⟶ Z // ∀ j₁ j₂, f j₁ ≫ h = f j₂ ≫ h} :=
{ to_fun := λ k, ⟨t.π ≫ k, by simp⟩,
inv_fun := λ h, (cotrident.is_colimit.desc' ht _ h.prop).1,
left_inv := λ k, cotrident.is_colimit.hom_ext ht (cotrident.is_colimit.desc' _ _ _).prop,
right_inv := λ h, subtype.ext (cotrident.is_colimit.desc' ht _ _).prop }
/-- The bijection of `cotrident.is_colimit.hom_iso` is natural in `Z`. -/
lemma cotrident.is_colimit.hom_iso_natural [nonempty J] {t : cotrident f} {Z Z' : C}
(q : Z ⟶ Z') (ht : is_colimit t) (k : t.X ⟶ Z) :
(cotrident.is_colimit.hom_iso ht _ (k ≫ q) : Y ⟶ Z') =
(cotrident.is_colimit.hom_iso ht _ k : Y ⟶ Z) ≫ q :=
(category.assoc _ _ _).symm
/-- This is a helper construction that can be useful when verifying that a category has certain wide
equalizers. Given `F : walking_parallel_family ⥤ C`, which is really the same as
`parallel_family (λ j, F.map (line j))`, and a trident on `λ j, F.map (line j)`, we get a cone
on `F`.
If you're thinking about using this, have a look at
`has_wide_equalizers_of_has_limit_parallel_family`, which you may find to be an easier way of
achieving your goal. -/
def cone.of_trident
{F : walking_parallel_family J ⥤ C} (t : trident (λ j, F.map (line j))) : cone F :=
{ X := t.X,
π :=
{ app := λ X, t.π.app X ≫ eq_to_hom (by tidy),
naturality' := λ j j' g, by { cases g; { dsimp, simp } } } }
/-- This is a helper construction that can be useful when verifying that a category has all
coequalizers. Given `F : walking_parallel_family ⥤ C`, which is really the same as
`parallel_family (λ j, F.map (line j))`, and a cotrident on `λ j, F.map (line j)` we get a
cocone on `F`.
If you're thinking about using this, have a look at
`has_wide_coequalizers_of_has_colimit_parallel_family`, which you may find to be an easier way
of achieving your goal. -/
def cocone.of_cotrident
{F : walking_parallel_family J ⥤ C} (t : cotrident (λ j, F.map (line j))) : cocone F :=
{ X := t.X,
ι :=
{ app := λ X, eq_to_hom (by tidy) ≫ t.ι.app X,
naturality' := λ j j' g, by { cases g; dsimp; simp [cotrident.app_one t] } } }
@[simp] lemma cone.of_trident_π
{F : walking_parallel_family J ⥤ C} (t : trident (λ j, F.map (line j))) (j) :
(cone.of_trident t).π.app j = t.π.app j ≫ eq_to_hom (by tidy) := rfl
@[simp] lemma cocone.of_cotrident_ι
{F : walking_parallel_family J ⥤ C} (t : cotrident (λ j, F.map (line j))) (j) :
(cocone.of_cotrident t).ι.app j = eq_to_hom (by tidy) ≫ t.ι.app j := rfl
/-- Given `F : walking_parallel_family ⥤ C`, which is really the same as
`parallel_family (λ j, F.map (line j))` and a cone on `F`, we get a trident on
`λ j, F.map (line j)`. -/
def trident.of_cone
{F : walking_parallel_family J ⥤ C} (t : cone F) : trident (λ j, F.map (line j)) :=
{ X := t.X,
π := { app := λ X, t.π.app X ≫ eq_to_hom (by tidy) } }
/-- Given `F : walking_parallel_family ⥤ C`, which is really the same as
`parallel_family (F.map left) (F.map right)` and a cocone on `F`, we get a cotrident on
`λ j, F.map (line j)`. -/
def cotrident.of_cocone
{F : walking_parallel_family J ⥤ C} (t : cocone F) : cotrident (λ j, F.map (line j)) :=
{ X := t.X,
ι := { app := λ X, eq_to_hom (by tidy) ≫ t.ι.app X } }
@[simp] lemma trident.of_cone_π {F : walking_parallel_family J ⥤ C} (t : cone F) (j) :
(trident.of_cone t).π.app j = t.π.app j ≫ eq_to_hom (by tidy) := rfl
@[simp] lemma cotrident.of_cocone_ι {F : walking_parallel_family J ⥤ C} (t : cocone F) (j) :
(cotrident.of_cocone t).ι.app j = eq_to_hom (by tidy) ≫ t.ι.app j := rfl
/--
Helper function for constructing morphisms between wide equalizer tridents.
-/
@[simps]
def trident.mk_hom [nonempty J] {s t : trident f} (k : s.X ⟶ t.X) (w : k ≫ t.ι = s.ι) : s ⟶ t :=
{ hom := k,
w' :=
begin
rintro ⟨_|_⟩,
{ exact w },
{ simpa using w =≫ f (classical.arbitrary J) },
end }
/--
To construct an isomorphism between tridents,
it suffices to give an isomorphism between the cone points
and check that it commutes with the `ι` morphisms.
-/
@[simps]
def trident.ext [nonempty J] {s t : trident f} (i : s.X ≅ t.X) (w : i.hom ≫ t.ι = s.ι) : s ≅ t :=
{ hom := trident.mk_hom i.hom w,
inv := trident.mk_hom i.inv (by rw [← w, iso.inv_hom_id_assoc]) }
/--
Helper function for constructing morphisms between coequalizer cotridents.
-/
@[simps]
def cotrident.mk_hom [nonempty J] {s t : cotrident f} (k : s.X ⟶ t.X) (w : s.π ≫ k = t.π) :
s ⟶ t :=
{ hom := k,
w' :=
begin
rintro ⟨_|_⟩,
{ simpa using f (classical.arbitrary J) ≫= w },
{ exact w },
end }
/--
To construct an isomorphism between cotridents,
it suffices to give an isomorphism between the cocone points
and check that it commutes with the `π` morphisms.
-/
def cotrident.ext [nonempty J] {s t : cotrident f} (i : s.X ≅ t.X) (w : s.π ≫ i.hom = t.π) :
s ≅ t :=
{ hom := cotrident.mk_hom i.hom w,
inv := cotrident.mk_hom i.inv (by rw [iso.comp_inv_eq, w]) }
variables (f)
section
/--
`has_wide_equalizer f` represents a particular choice of limiting cone for the parallel family of
morphisms `f`.
-/
abbreviation has_wide_equalizer := has_limit (parallel_family f)
variables [has_wide_equalizer f]
/-- If a wide equalizer of `f` exists, we can access an arbitrary choice of such by
saying `wide_equalizer f`. -/
abbreviation wide_equalizer : C := limit (parallel_family f)
/-- If a wide equalizer of `f` exists, we can access the inclusion `wide_equalizer f ⟶ X` by
saying `wide_equalizer.ι f`. -/
abbreviation wide_equalizer.ι : wide_equalizer f ⟶ X :=
limit.π (parallel_family f) zero
/--
A wide equalizer cone for a parallel family `f`.
-/
abbreviation wide_equalizer.trident : trident f := limit.cone (parallel_family f)
@[simp] lemma wide_equalizer.trident_ι :
(wide_equalizer.trident f).ι = wide_equalizer.ι f := rfl
@[simp] lemma wide_equalizer.trident_π_app_zero :
(wide_equalizer.trident f).π.app zero = wide_equalizer.ι f := rfl
@[reassoc] lemma wide_equalizer.condition (j₁ j₂ : J) :
wide_equalizer.ι f ≫ f j₁ = wide_equalizer.ι f ≫ f j₂ :=
trident.condition j₁ j₂ $ limit.cone $ parallel_family f
/-- The wide_equalizer built from `wide_equalizer.ι f` is limiting. -/
def wide_equalizer_is_wide_equalizer [nonempty J] :
is_limit (trident.of_ι (wide_equalizer.ι f) (wide_equalizer.condition f)) :=
is_limit.of_iso_limit (limit.is_limit _) (trident.ext (iso.refl _) (by tidy))
variables {f}
/-- A morphism `k : W ⟶ X` satisfying `∀ j₁ j₂, k ≫ f j₁ = k ≫ f j₂` factors through the
wide equalizer of `f` via `wide_equalizer.lift : W ⟶ wide_equalizer f`. -/
abbreviation wide_equalizer.lift [nonempty J] {W : C} (k : W ⟶ X)
(h : ∀ j₁ j₂, k ≫ f j₁ = k ≫ f j₂) :
W ⟶ wide_equalizer f :=
limit.lift (parallel_family f) (trident.of_ι k h)
@[simp, reassoc]
lemma wide_equalizer.lift_ι [nonempty J] {W : C} (k : W ⟶ X) (h : ∀ j₁ j₂, k ≫ f j₁ = k ≫ f j₂) :
wide_equalizer.lift k h ≫ wide_equalizer.ι f = k :=
limit.lift_π _ _
/-- A morphism `k : W ⟶ X` satisfying `∀ j₁ j₂, k ≫ f j₁ = k ≫ f j₂` induces a morphism
`l : W ⟶ wide_equalizer f` satisfying `l ≫ wide_equalizer.ι f = k`. -/
def wide_equalizer.lift' [nonempty J] {W : C} (k : W ⟶ X) (h : ∀ j₁ j₂, k ≫ f j₁ = k ≫ f j₂) :
{l : W ⟶ wide_equalizer f // l ≫ wide_equalizer.ι f = k} :=
⟨wide_equalizer.lift k h, wide_equalizer.lift_ι _ _⟩
/-- Two maps into a wide equalizer are equal if they are are equal when composed with the wide
equalizer map. -/
@[ext] lemma wide_equalizer.hom_ext [nonempty J] {W : C} {k l : W ⟶ wide_equalizer f}
(h : k ≫ wide_equalizer.ι f = l ≫ wide_equalizer.ι f) : k = l :=
trident.is_limit.hom_ext (limit.is_limit _) h
/-- A wide equalizer morphism is a monomorphism -/
instance wide_equalizer.ι_mono [nonempty J] : mono (wide_equalizer.ι f) :=
{ right_cancellation := λ Z h k w, wide_equalizer.hom_ext w }
end
section
variables {f}
/-- The wide equalizer morphism in any limit cone is a monomorphism. -/
lemma mono_of_is_limit_parallel_family [nonempty J] {c : cone (parallel_family f)}
(i : is_limit c) :
mono (trident.ι c) :=
{ right_cancellation := λ Z h k w, trident.is_limit.hom_ext i w }
end
section
/--
`has_wide_coequalizer f g` represents a particular choice of colimiting cocone
for the parallel family of morphisms `f`.
-/
abbreviation has_wide_coequalizer := has_colimit (parallel_family f)
variables [has_wide_coequalizer f]
/-- If a wide coequalizer of `f`, we can access an arbitrary choice of such by
saying `wide_coequalizer f`. -/
abbreviation wide_coequalizer : C := colimit (parallel_family f)
/-- If a wide_coequalizer of `f` exists, we can access the corresponding projection by
saying `wide_coequalizer.π f`. -/
abbreviation wide_coequalizer.π : Y ⟶ wide_coequalizer f :=
colimit.ι (parallel_family f) one
/--
An arbitrary choice of coequalizer cocone for a parallel family `f`.
-/
abbreviation wide_coequalizer.cotrident : cotrident f := colimit.cocone (parallel_family f)
@[simp] lemma wide_coequalizer.cotrident_π :
(wide_coequalizer.cotrident f).π = wide_coequalizer.π f := rfl
@[simp] lemma wide_coequalizer.cotrident_ι_app_one :
(wide_coequalizer.cotrident f).ι.app one = wide_coequalizer.π f := rfl
@[reassoc] lemma wide_coequalizer.condition (j₁ j₂ : J) :
f j₁ ≫ wide_coequalizer.π f = f j₂ ≫ wide_coequalizer.π f :=
cotrident.condition j₁ j₂ $ colimit.cocone $ parallel_family f
/-- The cotrident built from `wide_coequalizer.π f` is colimiting. -/
def wide_coequalizer_is_wide_coequalizer [nonempty J] :
is_colimit (cotrident.of_π (wide_coequalizer.π f) (wide_coequalizer.condition f)) :=
is_colimit.of_iso_colimit (colimit.is_colimit _) (cotrident.ext (iso.refl _) (by tidy))
variables {f}
/-- Any morphism `k : Y ⟶ W` satisfying `∀ j₁ j₂, f j₁ ≫ k = f j₂ ≫ k` factors through the
wide coequalizer of `f` via `wide_coequalizer.desc : wide_coequalizer f ⟶ W`. -/
abbreviation wide_coequalizer.desc [nonempty J] {W : C} (k : Y ⟶ W)
(h : ∀ j₁ j₂, f j₁ ≫ k = f j₂ ≫ k) :
wide_coequalizer f ⟶ W :=
colimit.desc (parallel_family f) (cotrident.of_π k h)
@[simp, reassoc]
lemma wide_coequalizer.π_desc [nonempty J] {W : C} (k : Y ⟶ W) (h : ∀ j₁ j₂, f j₁ ≫ k = f j₂ ≫ k) :
wide_coequalizer.π f ≫ wide_coequalizer.desc k h = k :=
colimit.ι_desc _ _
/-- Any morphism `k : Y ⟶ W` satisfying `∀ j₁ j₂, f j₁ ≫ k = f j₂ ≫ k` induces a morphism
`l : wide_coequalizer f ⟶ W` satisfying `wide_coequalizer.π ≫ g = l`. -/
def wide_coequalizer.desc' [nonempty J] {W : C} (k : Y ⟶ W) (h : ∀ j₁ j₂, f j₁ ≫ k = f j₂ ≫ k) :
{l : wide_coequalizer f ⟶ W // wide_coequalizer.π f ≫ l = k} :=
⟨wide_coequalizer.desc k h, wide_coequalizer.π_desc _ _⟩
/-- Two maps from a wide coequalizer are equal if they are equal when composed with the wide
coequalizer map -/
@[ext] lemma wide_coequalizer.hom_ext [nonempty J] {W : C} {k l : wide_coequalizer f ⟶ W}
(h : wide_coequalizer.π f ≫ k = wide_coequalizer.π f ≫ l) : k = l :=
cotrident.is_colimit.hom_ext (colimit.is_colimit _) h
/-- A wide coequalizer morphism is an epimorphism -/
instance wide_coequalizer.π_epi [nonempty J] : epi (wide_coequalizer.π f) :=
{ left_cancellation := λ Z h k w, wide_coequalizer.hom_ext w }
end
section
variables {f}
/-- The wide coequalizer morphism in any colimit cocone is an epimorphism. -/
lemma epi_of_is_colimit_parallel_family [nonempty J] {c : cocone (parallel_family f)}
(i : is_colimit c) :
epi (c.ι.app one) :=
{ left_cancellation := λ Z h k w, cotrident.is_colimit.hom_ext i w }
end
variables (C)
/-- `has_wide_equalizers` represents a choice of wide equalizer for every family of morphisms -/
abbreviation has_wide_equalizers := Π J, has_limits_of_shape (walking_parallel_family.{v} J) C
/-- `has_wide_coequalizers` represents a choice of wide coequalizer for every family of morphisms -/
abbreviation has_wide_coequalizers := Π J, has_colimits_of_shape (walking_parallel_family.{v} J) C
/-- If `C` has all limits of diagrams `parallel_family f`, then it has all wide equalizers -/
lemma has_wide_equalizers_of_has_limit_parallel_family
[Π {J} {X Y : C} {f : J → (X ⟶ Y)}, has_limit (parallel_family f)] : has_wide_equalizers C :=
λ J, { has_limit := λ F, has_limit_of_iso (diagram_iso_parallel_family F).symm }
/-- If `C` has all colimits of diagrams `parallel_family f`, then it has all wide coequalizers -/
lemma has_wide_coequalizers_of_has_colimit_parallel_family
[Π {J} {X Y : C} {f : J → (X ⟶ Y)}, has_colimit (parallel_family f)] : has_wide_coequalizers C :=
λ J, { has_colimit := λ F, has_colimit_of_iso (diagram_iso_parallel_family F) }
@[priority 10]
instance has_equalizers_of_has_wide_equalizers [has_wide_equalizers C] : has_equalizers C :=
has_limits_of_shape_of_equivalence walking_parallel_family_equiv_walking_parallel_pair
@[priority 10]
instance has_coequalizers_of_has_wide_coequalizers [has_wide_coequalizers C] : has_coequalizers C :=
has_colimits_of_shape_of_equivalence walking_parallel_family_equiv_walking_parallel_pair
end category_theory.limits
|
bdcf3c44e905e828e1d15256aa48b95212178bd2 | 8cae430f0a71442d02dbb1cbb14073b31048e4b0 | /src/algebra/group/opposite.lean | 11891aa81b4159c1ab1aabd6dac7ce96c1f5d022 | [
"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 | 23,678 | 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 algebra.group.inj_surj
import algebra.group.commute
import algebra.hom.equiv.basic
import algebra.opposites
import data.int.cast.defs
/-!
# Group structures on the multiplicative and additive opposites
> THIS FILE IS SYNCHRONIZED WITH MATHLIB4.
> Any changes to this file require a corresponding PR to mathlib4.
-/
universes u v
variables (α : Type u)
namespace mul_opposite
/-!
### Additive structures on `αᵐᵒᵖ`
-/
@[to_additive] instance [has_nat_cast α] : has_nat_cast αᵐᵒᵖ := ⟨λ n, op n⟩
@[to_additive] instance [has_int_cast α] : has_int_cast αᵐᵒᵖ := ⟨λ n, op n⟩
instance [add_semigroup α] : add_semigroup (αᵐᵒᵖ) :=
unop_injective.add_semigroup _ (λ x y, rfl)
instance [add_left_cancel_semigroup α] : add_left_cancel_semigroup αᵐᵒᵖ :=
unop_injective.add_left_cancel_semigroup _ (λ x y, rfl)
instance [add_right_cancel_semigroup α] : add_right_cancel_semigroup αᵐᵒᵖ :=
unop_injective.add_right_cancel_semigroup _ (λ x y, rfl)
instance [add_comm_semigroup α] : add_comm_semigroup αᵐᵒᵖ :=
unop_injective.add_comm_semigroup _ (λ x y, rfl)
instance [add_zero_class α] : add_zero_class αᵐᵒᵖ :=
unop_injective.add_zero_class _ rfl (λ x y, rfl)
instance [add_monoid α] : add_monoid αᵐᵒᵖ :=
unop_injective.add_monoid _ rfl (λ _ _, rfl) (λ _ _, rfl)
instance [add_comm_monoid α] : add_comm_monoid αᵐᵒᵖ :=
unop_injective.add_comm_monoid _ rfl (λ _ _, rfl) (λ _ _, rfl)
instance [add_monoid_with_one α] : add_monoid_with_one αᵐᵒᵖ :=
{ nat_cast_zero := show op ((0 : ℕ) : α) = 0, by rw [nat.cast_zero, op_zero],
nat_cast_succ := show ∀ n, op ((n + 1 : ℕ) : α) = op (n : ℕ) + 1, by simp,
.. mul_opposite.add_monoid α, .. mul_opposite.has_one α, ..mul_opposite.has_nat_cast _ }
instance [add_comm_monoid_with_one α] : add_comm_monoid_with_one αᵐᵒᵖ :=
{ .. mul_opposite.add_monoid_with_one α, ..mul_opposite.add_comm_monoid α }
instance [sub_neg_monoid α] : sub_neg_monoid αᵐᵒᵖ :=
unop_injective.sub_neg_monoid _ rfl (λ _ _, rfl) (λ _, rfl) (λ _ _, rfl) (λ _ _, rfl) (λ _ _, rfl)
instance [add_group α] : add_group αᵐᵒᵖ :=
unop_injective.add_group _ rfl (λ _ _, rfl) (λ _, rfl) (λ _ _, rfl) (λ _ _, rfl) (λ _ _, rfl)
instance [add_comm_group α] : add_comm_group αᵐᵒᵖ :=
unop_injective.add_comm_group _ rfl (λ _ _, rfl) (λ _, rfl) (λ _ _, rfl) (λ _ _, rfl) (λ _ _, rfl)
instance [add_group_with_one α] : add_group_with_one αᵐᵒᵖ :=
{ int_cast := λ n, op n,
int_cast_of_nat := λ n, show op ((n : ℤ) : α) = op n, by rw int.cast_coe_nat,
int_cast_neg_succ_of_nat := λ n, show op _ = op (- unop (op ((n + 1 : ℕ) : α))),
by erw [unop_op, int.cast_neg_succ_of_nat]; refl,
.. mul_opposite.add_monoid_with_one α, .. mul_opposite.add_group α }
instance [add_comm_group_with_one α] : add_comm_group_with_one αᵐᵒᵖ :=
{ .. mul_opposite.add_group_with_one α, ..mul_opposite.add_comm_group α }
/-!
### Multiplicative structures on `αᵐᵒᵖ`
We also generate additive structures on `αᵃᵒᵖ` using `to_additive`
-/
@[to_additive] instance [semigroup α] : semigroup αᵐᵒᵖ :=
{ mul_assoc := λ x y z, unop_injective $ eq.symm $ mul_assoc (unop z) (unop y) (unop x),
.. mul_opposite.has_mul α }
@[to_additive] instance [right_cancel_semigroup α] : left_cancel_semigroup αᵐᵒᵖ :=
{ mul_left_cancel := λ x y z H, unop_injective $ mul_right_cancel $ op_injective H,
.. mul_opposite.semigroup α }
@[to_additive] instance [left_cancel_semigroup α] : right_cancel_semigroup αᵐᵒᵖ :=
{ mul_right_cancel := λ x y z H, unop_injective $ mul_left_cancel $ op_injective H,
.. mul_opposite.semigroup α }
@[to_additive] instance [comm_semigroup α] : comm_semigroup αᵐᵒᵖ :=
{ mul_comm := λ x y, unop_injective $ mul_comm (unop y) (unop x),
.. mul_opposite.semigroup α }
@[to_additive] instance [mul_one_class α] : mul_one_class αᵐᵒᵖ :=
{ one_mul := λ x, unop_injective $ mul_one $ unop x,
mul_one := λ x, unop_injective $ one_mul $ unop x,
.. mul_opposite.has_mul α, .. mul_opposite.has_one α }
@[to_additive] instance [monoid α] : monoid αᵐᵒᵖ :=
{ npow := λ n x, op $ x.unop ^ n,
npow_zero' := λ x, unop_injective $ monoid.npow_zero' x.unop,
npow_succ' := λ n x, unop_injective $ pow_succ' x.unop n,
.. mul_opposite.semigroup α, .. mul_opposite.mul_one_class α }
@[to_additive] instance [right_cancel_monoid α] : left_cancel_monoid αᵐᵒᵖ :=
{ .. mul_opposite.left_cancel_semigroup α, .. mul_opposite.monoid α }
@[to_additive] instance [left_cancel_monoid α] : right_cancel_monoid αᵐᵒᵖ :=
{ .. mul_opposite.right_cancel_semigroup α, .. mul_opposite.monoid α }
@[to_additive] instance [cancel_monoid α] : cancel_monoid αᵐᵒᵖ :=
{ .. mul_opposite.right_cancel_monoid α, .. mul_opposite.left_cancel_monoid α }
@[to_additive] instance [comm_monoid α] : comm_monoid αᵐᵒᵖ :=
{ .. mul_opposite.monoid α, .. mul_opposite.comm_semigroup α }
@[to_additive] instance [cancel_comm_monoid α] : cancel_comm_monoid αᵐᵒᵖ :=
{ .. mul_opposite.cancel_monoid α, .. mul_opposite.comm_monoid α }
@[to_additive add_opposite.sub_neg_monoid] instance [div_inv_monoid α] : div_inv_monoid αᵐᵒᵖ :=
{ zpow := λ n x, op $ x.unop ^ n,
zpow_zero' := λ x, unop_injective $ div_inv_monoid.zpow_zero' x.unop,
zpow_succ' := λ n x, unop_injective $
by rw [unop_op, zpow_of_nat, zpow_of_nat, pow_succ', unop_mul, unop_op],
zpow_neg' := λ z x, unop_injective $ div_inv_monoid.zpow_neg' z x.unop,
.. mul_opposite.monoid α, .. mul_opposite.has_inv α }
@[to_additive add_opposite.subtraction_monoid] instance [division_monoid α] :
division_monoid αᵐᵒᵖ :=
{ mul_inv_rev := λ a b, unop_injective $ mul_inv_rev _ _,
inv_eq_of_mul := λ a b h, unop_injective $ inv_eq_of_mul_eq_one_left $ congr_arg unop h,
.. mul_opposite.div_inv_monoid α, .. mul_opposite.has_involutive_inv α }
@[to_additive add_opposite.subtraction_comm_monoid] instance [division_comm_monoid α] :
division_comm_monoid αᵐᵒᵖ :=
{ ..mul_opposite.division_monoid α, ..mul_opposite.comm_semigroup α }
@[to_additive] instance [group α] : group αᵐᵒᵖ :=
{ mul_left_inv := λ x, unop_injective $ mul_inv_self $ unop x,
.. mul_opposite.div_inv_monoid α, }
@[to_additive] instance [comm_group α] : comm_group αᵐᵒᵖ :=
{ .. mul_opposite.group α, .. mul_opposite.comm_monoid α }
variable {α}
@[simp, norm_cast, to_additive] lemma op_nat_cast [has_nat_cast α] (n : ℕ) : op (n : α) = n := rfl
@[simp, norm_cast, to_additive] lemma op_int_cast [has_int_cast α] (n : ℤ) : op (n : α) = n := rfl
@[simp, norm_cast, to_additive]
lemma unop_nat_cast [has_nat_cast α] (n : ℕ) : unop (n : αᵐᵒᵖ) = n := rfl
@[simp, norm_cast, to_additive]
lemma unop_int_cast [has_int_cast α] (n : ℤ) : unop (n : αᵐᵒᵖ) = n := rfl
@[simp, to_additive] lemma unop_div [div_inv_monoid α] (x y : αᵐᵒᵖ) :
unop (x / y) = (unop y)⁻¹ * unop x :=
rfl
@[simp, to_additive] lemma op_div [div_inv_monoid α] (x y : α) :
op (x / y) = (op y)⁻¹ * op x :=
by simp [div_eq_mul_inv]
@[simp, to_additive] lemma semiconj_by_op [has_mul α] {a x y : α} :
semiconj_by (op a) (op y) (op x) ↔ semiconj_by a x y :=
by simp only [semiconj_by, ← op_mul, op_inj, eq_comm]
@[simp, to_additive] lemma semiconj_by_unop [has_mul α] {a x y : αᵐᵒᵖ} :
semiconj_by (unop a) (unop y) (unop x) ↔ semiconj_by a x y :=
by conv_rhs { rw [← op_unop a, ← op_unop x, ← op_unop y, semiconj_by_op] }
@[to_additive] lemma _root_.semiconj_by.op [has_mul α] {a x y : α} (h : semiconj_by a x y) :
semiconj_by (op a) (op y) (op x) :=
semiconj_by_op.2 h
@[to_additive] lemma _root_.semiconj_by.unop [has_mul α] {a x y : αᵐᵒᵖ} (h : semiconj_by a x y) :
semiconj_by (unop a) (unop y) (unop x) :=
semiconj_by_unop.2 h
@[to_additive] lemma _root_.commute.op [has_mul α] {x y : α} (h : commute x y) :
commute (op x) (op y) := h.op
@[to_additive] lemma commute.unop [has_mul α] {x y : αᵐᵒᵖ} (h : commute x y) :
commute (unop x) (unop y) := h.unop
@[simp, to_additive] lemma commute_op [has_mul α] {x y : α} :
commute (op x) (op y) ↔ commute x y :=
semiconj_by_op
@[simp, to_additive] lemma commute_unop [has_mul α] {x y : αᵐᵒᵖ} :
commute (unop x) (unop y) ↔ commute x y :=
semiconj_by_unop
/-- The function `mul_opposite.op` is an additive equivalence. -/
@[simps { fully_applied := ff, simp_rhs := tt }]
def op_add_equiv [has_add α] : α ≃+ αᵐᵒᵖ :=
{ map_add' := λ a b, rfl, .. op_equiv }
@[simp] lemma op_add_equiv_to_equiv [has_add α] :
(op_add_equiv : α ≃+ αᵐᵒᵖ).to_equiv = op_equiv :=
rfl
end mul_opposite
/-!
### Multiplicative structures on `αᵃᵒᵖ`
-/
namespace add_opposite
instance [semigroup α] : semigroup (αᵃᵒᵖ) :=
unop_injective.semigroup _ (λ x y, rfl)
instance [left_cancel_semigroup α] : left_cancel_semigroup αᵃᵒᵖ :=
unop_injective.left_cancel_semigroup _ (λ x y, rfl)
instance [right_cancel_semigroup α] : right_cancel_semigroup αᵃᵒᵖ :=
unop_injective.right_cancel_semigroup _ (λ x y, rfl)
instance [comm_semigroup α] : comm_semigroup αᵃᵒᵖ :=
unop_injective.comm_semigroup _ (λ x y, rfl)
instance [mul_one_class α] : mul_one_class αᵃᵒᵖ :=
unop_injective.mul_one_class _ rfl (λ x y, rfl)
instance {β} [has_pow α β] : has_pow αᵃᵒᵖ β := { pow := λ a b, op (unop a ^ b) }
@[simp] lemma op_pow {β} [has_pow α β] (a : α) (b : β) : op (a ^ b) = op a ^ b := rfl
@[simp] lemma unop_pow {β} [has_pow α β] (a : αᵃᵒᵖ) (b : β) : unop (a ^ b) = unop a ^ b := rfl
instance [monoid α] : monoid αᵃᵒᵖ :=
unop_injective.monoid _ rfl (λ _ _, rfl) (λ _ _, rfl)
instance [comm_monoid α] : comm_monoid αᵃᵒᵖ :=
unop_injective.comm_monoid _ rfl (λ _ _, rfl) (λ _ _, rfl)
instance [div_inv_monoid α] : div_inv_monoid αᵃᵒᵖ :=
unop_injective.div_inv_monoid _ rfl (λ _ _, rfl) (λ _, rfl) (λ _ _, rfl) (λ _ _, rfl) (λ _ _, rfl)
instance [group α] : group αᵃᵒᵖ :=
unop_injective.group _ rfl (λ _ _, rfl) (λ _, rfl) (λ _ _, rfl) (λ _ _, rfl) (λ _ _, rfl)
instance [comm_group α] : comm_group αᵃᵒᵖ :=
unop_injective.comm_group _ rfl (λ _ _, rfl) (λ _, rfl) (λ _ _, rfl) (λ _ _, rfl) (λ _ _, rfl)
-- NOTE: `add_monoid_with_one α → add_monoid_with_one αᵃᵒᵖ` does not hold
instance [add_comm_monoid_with_one α] : add_comm_monoid_with_one αᵃᵒᵖ :=
{ nat_cast_zero := show op ((0 : ℕ) : α) = 0, by rw [nat.cast_zero, op_zero],
nat_cast_succ := show ∀ n, op ((n + 1 : ℕ) : α) = op (n : ℕ) + 1, by simp [add_comm],
..add_opposite.add_comm_monoid α, ..add_opposite.has_one, ..add_opposite.has_nat_cast _ }
instance [add_comm_group_with_one α] : add_comm_group_with_one αᵃᵒᵖ :=
{ int_cast_of_nat := λ n, congr_arg op $ int.cast_of_nat n,
int_cast_neg_succ_of_nat := λ _, congr_arg op $ int.cast_neg_succ_of_nat _,
..add_opposite.add_comm_monoid_with_one _, ..add_opposite.add_comm_group α,
..add_opposite.has_int_cast α }
variable {α}
/-- The function `add_opposite.op` is a multiplicative equivalence. -/
@[simps { fully_applied := ff, simp_rhs := tt }]
def op_mul_equiv [has_mul α] : α ≃* αᵃᵒᵖ :=
{ map_mul' := λ a b, rfl, .. op_equiv }
@[simp] lemma op_mul_equiv_to_equiv [has_mul α] :
(op_mul_equiv : α ≃* αᵃᵒᵖ).to_equiv = op_equiv :=
rfl
end add_opposite
open mul_opposite
/-- Inversion on a group is a `mul_equiv` to the opposite group. When `G` is commutative, there is
`mul_equiv.inv`. -/
@[to_additive "Negation on an additive group is an `add_equiv` to the opposite group. When `G`
is commutative, there is `add_equiv.inv`.", simps { fully_applied := ff, simp_rhs := tt }]
def mul_equiv.inv' (G : Type*) [division_monoid G] : G ≃* Gᵐᵒᵖ :=
{ map_mul' := λ x y, unop_injective $ mul_inv_rev x y,
.. (equiv.inv G).trans op_equiv }
/-- A semigroup homomorphism `f : M →ₙ* N` such that `f x` commutes with `f y` for all `x, y`
defines a semigroup homomorphism to `Nᵐᵒᵖ`. -/
@[to_additive "An additive semigroup homomorphism `f : add_hom M N` such that `f x` additively
commutes with `f y` for all `x, y` defines an additive semigroup homomorphism to `Sᵃᵒᵖ`.",
simps {fully_applied := ff}]
def mul_hom.to_opposite {M N : Type*} [has_mul M] [has_mul N] (f : M →ₙ* N)
(hf : ∀ x y, commute (f x) (f y)) : M →ₙ* Nᵐᵒᵖ :=
{ to_fun := mul_opposite.op ∘ f,
map_mul' := λ x y, by simp [(hf x y).eq] }
/-- A semigroup homomorphism `f : M →ₙ* N` such that `f x` commutes with `f y` for all `x, y`
defines a semigroup homomorphism from `Mᵐᵒᵖ`. -/
@[to_additive "An additive semigroup homomorphism `f : add_hom M N` such that `f x` additively
commutes with `f y` for all `x`, `y` defines an additive semigroup homomorphism from `Mᵃᵒᵖ`.",
simps {fully_applied := ff}]
def mul_hom.from_opposite {M N : Type*} [has_mul M] [has_mul N] (f : M →ₙ* N)
(hf : ∀ x y, commute (f x) (f y)) : Mᵐᵒᵖ →ₙ* N :=
{ to_fun := f ∘ mul_opposite.unop,
map_mul' := λ x y, (f.map_mul _ _).trans (hf _ _).eq }
/-- A monoid homomorphism `f : M →* N` such that `f x` commutes with `f y` for all `x, y` defines
a monoid homomorphism to `Nᵐᵒᵖ`. -/
@[to_additive "An additive monoid homomorphism `f : M →+ N` such that `f x` additively commutes
with `f y` for all `x, y` defines an additive monoid homomorphism to `Sᵃᵒᵖ`.",
simps {fully_applied := ff}]
def monoid_hom.to_opposite {M N : Type*} [mul_one_class M] [mul_one_class N] (f : M →* N)
(hf : ∀ x y, commute (f x) (f y)) : M →* Nᵐᵒᵖ :=
{ to_fun := mul_opposite.op ∘ f,
map_one' := congr_arg op f.map_one,
map_mul' := λ x y, by simp [(hf x y).eq] }
/-- A monoid homomorphism `f : M →* N` such that `f x` commutes with `f y` for all `x, y` defines
a monoid homomorphism from `Mᵐᵒᵖ`. -/
@[to_additive "An additive monoid homomorphism `f : M →+ N` such that `f x` additively commutes
with `f y` for all `x`, `y` defines an additive monoid homomorphism from `Mᵃᵒᵖ`.",
simps {fully_applied := ff}]
def monoid_hom.from_opposite {M N : Type*} [mul_one_class M] [mul_one_class N] (f : M →* N)
(hf : ∀ x y, commute (f x) (f y)) : Mᵐᵒᵖ →* N :=
{ to_fun := f ∘ mul_opposite.unop,
map_one' := f.map_one,
map_mul' := λ x y, (f.map_mul _ _).trans (hf _ _).eq }
/-- The units of the opposites are equivalent to the opposites of the units. -/
@[to_additive "The additive units of the additive opposites are equivalent to the additive opposites
of the additive units."]
def units.op_equiv {M} [monoid M] : (Mᵐᵒᵖ)ˣ ≃* (Mˣ)ᵐᵒᵖ :=
{ to_fun := λ u, op ⟨unop u, unop ↑(u⁻¹), op_injective u.4, op_injective u.3⟩,
inv_fun := mul_opposite.rec $ λ u, ⟨op ↑(u), op ↑(u⁻¹), unop_injective $ u.4, unop_injective u.3⟩,
map_mul' := λ x y, unop_injective $ units.ext $ rfl,
left_inv := λ x, units.ext $ by simp,
right_inv := λ x, unop_injective $ units.ext $ rfl }
@[simp, to_additive]
lemma units.coe_unop_op_equiv {M} [monoid M] (u : (Mᵐᵒᵖ)ˣ) :
((units.op_equiv u).unop : M) = unop (u : Mᵐᵒᵖ) :=
rfl
@[simp, to_additive]
lemma units.coe_op_equiv_symm {M} [monoid M] (u : (Mˣ)ᵐᵒᵖ) :
(units.op_equiv.symm u : Mᵐᵒᵖ) = op (u.unop : M) :=
rfl
@[to_additive]
lemma is_unit.op {M} [monoid M] {m : M} (h : is_unit m) : is_unit (op m) :=
let ⟨u, hu⟩ := h in hu ▸ ⟨units.op_equiv.symm (op u), rfl⟩
@[to_additive]
lemma is_unit.unop {M} [monoid M] {m : Mᵐᵒᵖ} (h : is_unit m) : is_unit (unop m) :=
let ⟨u, hu⟩ := h in hu ▸ ⟨unop (units.op_equiv u), rfl⟩
@[simp, to_additive]
lemma is_unit_op {M} [monoid M] {m : M} : is_unit (op m) ↔ is_unit m := ⟨is_unit.unop, is_unit.op⟩
@[simp, to_additive]
lemma is_unit_unop {M} [monoid M] {m : Mᵐᵒᵖ} : is_unit (unop m) ↔ is_unit m :=
⟨is_unit.op, is_unit.unop⟩
/-- A semigroup homomorphism `M →ₙ* N` can equivalently be viewed as a semigroup homomorphism
`Mᵐᵒᵖ →ₙ* Nᵐᵒᵖ`. This is the action of the (fully faithful) `ᵐᵒᵖ`-functor on morphisms. -/
@[to_additive "An additive semigroup homomorphism `add_hom M N` can equivalently be viewed as an
additive semigroup homomorphism `add_hom Mᵃᵒᵖ Nᵃᵒᵖ`. This is the action of the (fully faithful)
`ᵃᵒᵖ`-functor on morphisms.", simps]
def mul_hom.op {M N} [has_mul M] [has_mul N] :
(M →ₙ* N) ≃ (Mᵐᵒᵖ →ₙ* Nᵐᵒᵖ) :=
{ to_fun := λ f, { to_fun := op ∘ f ∘ unop,
map_mul' := λ x y, unop_injective (f.map_mul y.unop x.unop) },
inv_fun := λ f, { to_fun := unop ∘ f ∘ op,
map_mul' := λ x y, congr_arg unop (f.map_mul (op y) (op x)) },
left_inv := λ f, by { ext, refl },
right_inv := λ f, by { ext x, simp } }
/-- The 'unopposite' of a semigroup homomorphism `Mᵐᵒᵖ →ₙ* Nᵐᵒᵖ`. Inverse to `mul_hom.op`. -/
@[simp, to_additive "The 'unopposite' of an additive semigroup homomorphism `Mᵃᵒᵖ →ₙ+ Nᵃᵒᵖ`. Inverse
to `add_hom.op`."]
def mul_hom.unop {M N} [has_mul M] [has_mul N] :
(Mᵐᵒᵖ →ₙ* Nᵐᵒᵖ) ≃ (M →ₙ* N) := mul_hom.op.symm
/-- An additive semigroup homomorphism `add_hom M N` can equivalently be viewed as an additive
homomorphism `add_hom Mᵐᵒᵖ Nᵐᵒᵖ`. This is the action of the (fully faithful) `ᵐᵒᵖ`-functor on
morphisms. -/
@[simps]
def add_hom.mul_op {M N} [has_add M] [has_add N] :
(add_hom M N) ≃ (add_hom Mᵐᵒᵖ Nᵐᵒᵖ) :=
{ to_fun := λ f, { to_fun := op ∘ f ∘ unop,
map_add' := λ x y, unop_injective (f.map_add x.unop y.unop) },
inv_fun := λ f, { to_fun := unop ∘ f ∘ op,
map_add' := λ x y, congr_arg unop (f.map_add (op x) (op y)) },
left_inv := λ f, by { ext, refl },
right_inv := λ f, by { ext, simp } }
/-- The 'unopposite' of an additive semigroup hom `αᵐᵒᵖ →+ βᵐᵒᵖ`. Inverse to
`add_hom.mul_op`. -/
@[simp] def add_hom.mul_unop {α β} [has_add α] [has_add β] :
(add_hom αᵐᵒᵖ βᵐᵒᵖ) ≃ (add_hom α β) := add_hom.mul_op.symm
/-- A monoid homomorphism `M →* N` can equivalently be viewed as a monoid homomorphism
`Mᵐᵒᵖ →* Nᵐᵒᵖ`. This is the action of the (fully faithful) `ᵐᵒᵖ`-functor on morphisms. -/
@[to_additive "An additive monoid homomorphism `M →+ N` can equivalently be viewed as an
additive monoid homomorphism `Mᵃᵒᵖ →+ Nᵃᵒᵖ`. This is the action of the (fully faithful)
`ᵃᵒᵖ`-functor on morphisms.", simps]
def monoid_hom.op {M N} [mul_one_class M] [mul_one_class N] :
(M →* N) ≃ (Mᵐᵒᵖ →* Nᵐᵒᵖ) :=
{ to_fun := λ f, { to_fun := op ∘ f ∘ unop,
map_one' := congr_arg op f.map_one,
map_mul' := λ x y, unop_injective (f.map_mul y.unop x.unop) },
inv_fun := λ f, { to_fun := unop ∘ f ∘ op,
map_one' := congr_arg unop f.map_one,
map_mul' := λ x y, congr_arg unop (f.map_mul (op y) (op x)) },
left_inv := λ f, by { ext, refl },
right_inv := λ f, by { ext x, simp } }
/-- The 'unopposite' of a monoid homomorphism `Mᵐᵒᵖ →* Nᵐᵒᵖ`. Inverse to `monoid_hom.op`. -/
@[simp, to_additive "The 'unopposite' of an additive monoid homomorphism `Mᵃᵒᵖ →+ Nᵃᵒᵖ`. Inverse to
`add_monoid_hom.op`."]
def monoid_hom.unop {M N} [mul_one_class M] [mul_one_class N] :
(Mᵐᵒᵖ →* Nᵐᵒᵖ) ≃ (M →* N) := monoid_hom.op.symm
/-- An additive homomorphism `M →+ N` can equivalently be viewed as an additive homomorphism
`Mᵐᵒᵖ →+ Nᵐᵒᵖ`. This is the action of the (fully faithful) `ᵐᵒᵖ`-functor on morphisms. -/
@[simps]
def add_monoid_hom.mul_op {M N} [add_zero_class M] [add_zero_class N] :
(M →+ N) ≃ (Mᵐᵒᵖ →+ Nᵐᵒᵖ) :=
{ to_fun := λ f, { to_fun := op ∘ f ∘ unop,
map_zero' := unop_injective f.map_zero,
map_add' := λ x y, unop_injective (f.map_add x.unop y.unop) },
inv_fun := λ f, { to_fun := unop ∘ f ∘ op,
map_zero' := congr_arg unop f.map_zero,
map_add' := λ x y, congr_arg unop (f.map_add (op x) (op y)) },
left_inv := λ f, by { ext, refl },
right_inv := λ f, by { ext, simp } }
/-- The 'unopposite' of an additive monoid hom `αᵐᵒᵖ →+ βᵐᵒᵖ`. Inverse to
`add_monoid_hom.mul_op`. -/
@[simp] def add_monoid_hom.mul_unop {α β} [add_zero_class α] [add_zero_class β] :
(αᵐᵒᵖ →+ βᵐᵒᵖ) ≃ (α →+ β) := add_monoid_hom.mul_op.symm
/-- A iso `α ≃+ β` can equivalently be viewed as an iso `αᵐᵒᵖ ≃+ βᵐᵒᵖ`. -/
@[simps]
def add_equiv.mul_op {α β} [has_add α] [has_add β] :
(α ≃+ β) ≃ (αᵐᵒᵖ ≃+ βᵐᵒᵖ) :=
{ to_fun := λ f, op_add_equiv.symm.trans (f.trans op_add_equiv),
inv_fun := λ f, op_add_equiv.trans (f.trans op_add_equiv.symm),
left_inv := λ f, by { ext, refl },
right_inv := λ f, by { ext, simp } }
/-- The 'unopposite' of an iso `αᵐᵒᵖ ≃+ βᵐᵒᵖ`. Inverse to `add_equiv.mul_op`. -/
@[simp] def add_equiv.mul_unop {α β} [has_add α] [has_add β] :
(αᵐᵒᵖ ≃+ βᵐᵒᵖ) ≃ (α ≃+ β) := add_equiv.mul_op.symm
/-- A iso `α ≃* β` can equivalently be viewed as an iso `αᵐᵒᵖ ≃* βᵐᵒᵖ`. -/
@[to_additive "A iso `α ≃+ β` can equivalently be viewed as an iso `αᵃᵒᵖ ≃+ βᵃᵒᵖ`.", simps]
def mul_equiv.op {α β} [has_mul α] [has_mul β] :
(α ≃* β) ≃ (αᵐᵒᵖ ≃* βᵐᵒᵖ) :=
{ to_fun := λ f, { to_fun := op ∘ f ∘ unop,
inv_fun := op ∘ f.symm ∘ unop,
left_inv := λ x, unop_injective (f.symm_apply_apply x.unop),
right_inv := λ x, unop_injective (f.apply_symm_apply x.unop),
map_mul' := λ x y, unop_injective (f.map_mul y.unop x.unop) },
inv_fun := λ f, { to_fun := unop ∘ f ∘ op,
inv_fun := unop ∘ f.symm ∘ op,
left_inv := λ x, by simp,
right_inv := λ x, by simp,
map_mul' := λ x y, congr_arg unop (f.map_mul (op y) (op x)) },
left_inv := λ f, by { ext, refl },
right_inv := λ f, by { ext, simp } }
/-- The 'unopposite' of an iso `αᵐᵒᵖ ≃* βᵐᵒᵖ`. Inverse to `mul_equiv.op`. -/
@[simp, to_additive "The 'unopposite' of an iso `αᵃᵒᵖ ≃+ βᵃᵒᵖ`. Inverse to `add_equiv.op`."]
def mul_equiv.unop {α β} [has_mul α] [has_mul β] :
(αᵐᵒᵖ ≃* βᵐᵒᵖ) ≃ (α ≃* β) := mul_equiv.op.symm
section ext
/-- This ext lemma change equalities on `αᵐᵒᵖ →+ β` to equalities on `α →+ β`.
This is useful because there are often ext lemmas for specific `α`s that will apply
to an equality of `α →+ β` such as `finsupp.add_hom_ext'`. -/
@[ext]
lemma add_monoid_hom.mul_op_ext {α β} [add_zero_class α] [add_zero_class β]
(f g : αᵐᵒᵖ →+ β)
(h : f.comp (op_add_equiv : α ≃+ αᵐᵒᵖ).to_add_monoid_hom =
g.comp (op_add_equiv : α ≃+ αᵐᵒᵖ).to_add_monoid_hom) : f = g :=
add_monoid_hom.ext $ mul_opposite.rec $ λ x, (add_monoid_hom.congr_fun h : _) x
end ext
|
e0d002241a237e4307a7efb324fe970e03a8ac44 | 5c4b17dae42fab1d4f493f3b52977bffa54fefea | /2-vec-matrix.lean | 266e6c381621705e0f844a8a48077d9dad162fc9 | [] | no_license | hyponymous/theorem-proving-in-lean-solutions | 9214cb45cc87347862fd17dfdea79fdf24b9df92 | a95320ae81c90c1b15da04574602cd378794400d | refs/heads/master | 1,585,777,733,214 | 1,541,039,359,000 | 1,541,039,359,000 | 153,676,525 | 2 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 1,880 | lean | universe u
constant vec : Type u → ℕ → Type u
namespace vec
constant empty : Π α : Type u, vec α 0
constant cons :
Π {α : Type u} {n : ℕ}, α → vec α n → vec α (n + 1)
constant append :
Π {α : Type u} {n m : ℕ}, vec α m → vec α n → vec α (n + m)
end vec
#check vec
-- Above, we used the example vec α n for vectors of elements of type α of
-- length n. Declare a constant vec_add that could represent a function
-- that adds two vectors of natural numbers of the same length, and a constant
-- vec_reverse that can represent a function that reverses its argument.
-- Use implicit arguments for parameters that can be inferred. Declare some
-- variables and check some expressions involving the constants that you have
-- declared.
constant vec_add : Π {α : Type u} {n : ℕ}, vec α n → vec α n → vec α n
#reduce vec.cons 456 (vec.cons 123 (vec.empty _))
#check vec_add (vec.cons 456 (vec.cons 123 (vec.empty _))) (vec.cons 456 (vec.cons 123 (vec.empty _)))
constant vec_reverse : Π {α : Type u} {n : ℕ}, vec α n → vec α n
#check vec_reverse (vec.cons 456 (vec.cons 123 (vec.empty _)))
-- Similarly, declare a constant matrix so that matrix α m n could represent the
-- type of m by n matrices. Declare some constants to represent functions on
-- this type, such as matrix addition and multiplication, and (using vec)
-- multiplication of a matrix by a vector. Once again, declare some variables
-- and check some expressions involving the constants that you have declared.
constant matrix : Type u → ℕ → ℕ → Type u
constant matrix_add : Π {α : Type u} {n m : ℕ}, matrix α n m → matrix α n m
constant matrix_mul : Π {α : Type u} {n m k : ℕ}, matrix α n m → matrix α m k → matrix α n k
constant matrix_vec_mul : Π {α : Type u} {n m : ℕ}, matrix α n m → vec α m → vec α n
|
a251400f6a838b04b1bf9874cb4511cd82f32de3 | fa02ed5a3c9c0adee3c26887a16855e7841c668b | /src/data/rat/floor.lean | 01eb966c96aaf71adc49deb4c97860428c4e3d5d | [
"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 | 6,421 | lean | /-
Copyright (c) 2019 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Mario Carneiro, Kevin Kappelmann
-/
import algebra.floor
import tactic.field_simp
/-!
# Floor Function for Rational Numbers
## Summary
We define the `floor` function and the `floor_ring` instance on `ℚ`. Some technical lemmas relating
`floor` to integer division and modulo arithmetic are derived as well as some simple inequalities.
## Tags
rat, rationals, ℚ, floor
-/
namespace rat
/-- `floor q` is the largest integer `z` such that `z ≤ q` -/
protected def floor : ℚ → ℤ
| ⟨n, d, h, c⟩ := n / d
protected theorem le_floor {z : ℤ} : ∀ {r : ℚ}, z ≤ rat.floor r ↔ (z : ℚ) ≤ r
| ⟨n, d, h, c⟩ := begin
simp [rat.floor],
rw [num_denom'],
have h' := int.coe_nat_lt.2 h,
conv { to_rhs,
rw [coe_int_eq_mk, rat.le_def zero_lt_one h', mul_one] },
exact int.le_div_iff_mul_le h'
end
instance : floor_ring ℚ :=
{ floor := rat.floor, le_floor := @rat.le_floor }
protected lemma floor_def {q : ℚ} : ⌊q⌋ = q.num / q.denom := by { cases q, refl }
lemma floor_int_div_nat_eq_div {n : ℤ} {d : ℕ} : ⌊(↑n : ℚ) / (↑d : ℚ)⌋ = n / (↑d : ℤ) :=
begin
rw [rat.floor_def],
cases decidable.em (d = 0) with d_eq_zero d_ne_zero,
{ simp [d_eq_zero] },
{ cases decidable.em (n = 0) with n_eq_zero n_ne_zero,
{ simp [n_eq_zero] },
{ set q := (n : ℚ) / d with q_eq,
obtain ⟨c, n_eq_c_mul_num, d_eq_c_mul_denom⟩ : ∃ c, n = c * q.num ∧ (d : ℤ) = c * q.denom, by
{ rw q_eq,
exact_mod_cast (@rat.exists_eq_mul_div_num_and_eq_mul_div_denom n d n_ne_zero
(by exact_mod_cast d_ne_zero)) },
suffices : q.num / q.denom = c * q.num / (c * q.denom),
by rwa [n_eq_c_mul_num, d_eq_c_mul_denom],
suffices : c > 0, by solve_by_elim [int.mul_div_mul_of_pos],
have q_denom_mul_c_pos : (0 : ℤ) < q.denom * c, by
{ have : (d : ℤ) > 0, by exact_mod_cast (pos_iff_ne_zero.elim_right d_ne_zero),
rwa [d_eq_c_mul_denom, mul_comm] at this },
suffices : (0 : ℤ) ≤ q.denom, from pos_of_mul_pos_left q_denom_mul_c_pos this,
exact_mod_cast (le_of_lt q.pos) } }
end
end rat
lemma int.mod_nat_eq_sub_mul_floor_rat_div {n : ℤ} {d : ℕ} : n % d = n - d * ⌊(n : ℚ) / d⌋ :=
by rw [(eq_sub_of_add_eq $ int.mod_add_div n d), rat.floor_int_div_nat_eq_div]
lemma nat.coprime_sub_mul_floor_rat_div_of_coprime {n d : ℕ} (n_coprime_d : n.coprime d) :
((n : ℤ) - d * ⌊(n : ℚ)/ d⌋).nat_abs.coprime d :=
begin
have : (n : ℤ) % d = n - d * ⌊(n : ℚ)/ d⌋, from int.mod_nat_eq_sub_mul_floor_rat_div,
rw ←this,
have : d.coprime n, from n_coprime_d.symm,
rwa [nat.coprime, nat.gcd_rec] at this
end
namespace rat
lemma num_lt_succ_floor_mul_denom (q : ℚ) : q.num < (⌊q⌋ + 1) * q.denom :=
begin
suffices : (q.num : ℚ) < (⌊q⌋ + 1) * q.denom, by exact_mod_cast this,
suffices : (q.num : ℚ) < (q - fract q + 1) * q.denom, by
{ have : (⌊q⌋ : ℚ) = q - fract q, from (eq_sub_of_add_eq $ floor_add_fract q),
rwa this },
suffices : (q.num : ℚ) < q.num + (1 - fract q) * q.denom, by
{ have : (q - fract q + 1) * q.denom = q.num + (1 - fract q) * q.denom, calc
(q - fract q + 1) * q.denom = (q + (1 - fract q)) * q.denom : by ring
... = q * q.denom + (1 - fract q) * q.denom : by rw add_mul
... = q.num + (1 - fract q) * q.denom : by simp,
rwa this },
suffices : 0 < (1 - fract q) * q.denom, by { rw ←sub_lt_iff_lt_add', simpa },
have : 0 < 1 - fract q, by
{ have : fract q < 1, from fract_lt_one q,
have : 0 + fract q < 1, by simp [this],
rwa lt_sub_iff_add_lt },
exact mul_pos this (by exact_mod_cast q.pos)
end
lemma fract_inv_num_lt_num_of_pos {q : ℚ} (q_pos : 0 < q): (fract q⁻¹).num < q.num :=
begin
-- we know that the numerator must be positive
have q_num_pos : 0 < q.num, from rat.num_pos_iff_pos.elim_right q_pos,
-- we will work with the absolute value of the numerator, which is equal to the numerator
have q_num_abs_eq_q_num : (q.num.nat_abs : ℤ) = q.num, from
(int.nat_abs_of_nonneg $ le_of_lt q_num_pos),
set q_inv := (q.denom : ℚ) / q.num with q_inv_def,
have q_inv_eq : q⁻¹ = q_inv, from rat.inv_def',
suffices : (q_inv - ⌊q_inv⌋).num < q.num, by rwa q_inv_eq,
suffices : ((q.denom - q.num * ⌊q_inv⌋ : ℚ) / q.num).num < q.num, by
field_simp [this, (ne_of_gt q_num_pos)],
suffices : (q.denom : ℤ) - q.num * ⌊q_inv⌋ < q.num, by
{ -- use that `q.num` and `q.denom` are coprime to show that the numerator stays unreduced
have : ((q.denom - q.num * ⌊q_inv⌋ : ℚ) / q.num).num = q.denom - q.num * ⌊q_inv⌋, by
{ suffices : ((q.denom : ℤ) - q.num * ⌊q_inv⌋).nat_abs.coprime q.num.nat_abs, by
exact_mod_cast (rat.num_div_eq_of_coprime q_num_pos this),
have : (q.num.nat_abs : ℚ) = (q.num : ℚ), by exact_mod_cast q_num_abs_eq_q_num,
have tmp := nat.coprime_sub_mul_floor_rat_div_of_coprime q.cop.symm,
simpa only [this, q_num_abs_eq_q_num] using tmp },
rwa this },
-- to show the claim, start with the following inequality
have q_inv_num_denom_ineq : q⁻¹.num - ⌊q⁻¹⌋ * q⁻¹.denom < q⁻¹.denom, by
{ have : q⁻¹.num < (⌊q⁻¹⌋ + 1) * q⁻¹.denom, from rat.num_lt_succ_floor_mul_denom q⁻¹,
have : q⁻¹.num < ⌊q⁻¹⌋ * q⁻¹.denom + q⁻¹.denom, by rwa [right_distrib, one_mul] at this,
rwa [←sub_lt_iff_lt_add'] at this },
-- use that `q.num` and `q.denom` are coprime to show that q_inv is the unreduced reciprocal
-- of `q`
have : q_inv.num = q.denom ∧ q_inv.denom = q.num.nat_abs, by
{ have coprime_q_denom_q_num : q.denom.coprime q.num.nat_abs, from q.cop.symm,
have : int.nat_abs q.denom = q.denom, by simp,
rw ←this at coprime_q_denom_q_num,
rw q_inv_def,
split,
{ exact_mod_cast (rat.num_div_eq_of_coprime q_num_pos coprime_q_denom_q_num) },
{ suffices : (((q.denom : ℚ) / q.num).denom : ℤ) = q.num.nat_abs, by exact_mod_cast this,
rw q_num_abs_eq_q_num,
exact_mod_cast (rat.denom_div_eq_of_coprime q_num_pos coprime_q_denom_q_num) } },
rwa [q_inv_eq, this.left, this.right, q_num_abs_eq_q_num, mul_comm] at q_inv_num_denom_ineq
end
end rat
|
e658c1433097a6f83ddac93aa7a0633c28bcaf78 | 6432ea7a083ff6ba21ea17af9ee47b9c371760f7 | /tests/lean/run/inlineLoop.lean | 514bfe9d766a284e3bbd22e7cf20bce8888ccf3b | [
"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 | 396 | lean | namespace Test1
mutual
partial def f (a : Nat) : Nat := g a
partial def g (a : Nat) : Nat := f a
end
end Test1
namespace Test2
mutual
@[inline]
partial def f (a : Nat) : Nat := g a + g a + g a + g a
@[inline]
partial def g (a : Nat) : Nat := f a + f a + f a + f a
end
end Test2
namespace Test3
partial def unsafeFn1 {m} [Monad m] (a : α) : m α :=
unsafeFn1 a
end Test3
|
55cee33faca8ca8c7a702433d3fa3b3c455b7d2a | b7f22e51856f4989b970961f794f1c435f9b8f78 | /tests/lean/run/match_fun.lean | 5e9b9006309659270eb22eeeb8efaaf1a1069faf | [
"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 | 441 | lean | open bool nat
definition foo (b : bool) : nat → nat :=
match b with
| tt := λ x : nat, zero
| ff := λ y : nat, (succ zero)
end
example : foo tt 1 = zero := rfl
example : foo ff 1 = 1 := rfl
definition zero_fn := λ x : nat, zero
definition foo2 : bool → nat → nat
| foo2 tt := succ
| foo2 ff := zero_fn
example : foo2 tt 1 = 2 := rfl
example : foo2 tt 2 = 3 := rfl
example : foo2 ff 1 = 0 := rfl
example : foo2 ff 2 = 0 := rfl
|
44a209747a7956e5b98315107db65418d0550a87 | 4727251e0cd73359b15b664c3170e5d754078599 | /src/algebraic_geometry/EllipticCurve.lean | b7eab79cba7a8779851adab99065a1c41af3bcd8 | [
"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 | 4,006 | lean | /-
Copyright (c) 2021 Kevin Buzzard. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kevin Buzzard
-/
import data.rat.basic
import tactic.norm_num
/-!
# The category of elliptic curves (over a field or a PID)
We give a working definition of elliptic curves which is mathematically accurate
in many cases, and also good for computation.
## Mathematical background
Let `S` be a scheme. The actual category of elliptic curves over `S` is a large category,
whose objects are schemes `E` equipped with a map `E → S`, a section `S → E`, and some
axioms (the map is smooth and proper and the fibres are geometrically connected group varieties
of dimension 1). In the special case where `S` is `Spec R` for some commutative ring `R`
whose Picard group is trivial (this includes all fields, all principal ideal domains, and many
other commutative rings) then it can be shown (using rather a lot of algebro-geometric machinery)
that every elliptic curve is, up to isomorphism, a projective plane cubic defined by
the equation `y^2+a₁xy+a₃y=x^3+a₂x^2+a₄x+a₆`, with `aᵢ : R`, and such that the discriminant
of the aᵢ is a unit in `R`.
Some more details of the construction can be found on pages 66-69 of
[N. Katz and B. Mazur, *Arithmetic moduli of elliptic curves*][katz_mazur] or pages
53-56 of [P. Deligne, *Courbes elliptiques: formulaire d'après J. Tate*][deligne_formulaire].
## Warning
The definition in this file makes sense for all commutative rings `R`, but it only gives
a type which can be beefed up to a category which is equivalent to the category of elliptic
curves over `Spec R` in the case that `R` has trivial Picard group or, slightly more generally,
when the 12-torsion of Pic(R) is trivial. The issue is that for a general ring R, there
might be elliptic curves over Spec(R) in the sense of algebraic geometry which are not
globally defined by a cubic equation valid over the entire base.
## TODO
Define the R-points (or even A-points if A is an R-algebra). Care will be needed
at infinity if R is not a field. Define the group law on the R-points. (hard) prove associativity.
-/
/-- The discriminant of the plane cubic `Y^2+a1*X*Y+a3*Y=X^3+a2*X^2+a4*X+a6`. If `R` is a field
then this polynomial vanishes iff the cubic curve cut out by this equation is singular. -/
def EllipticCurve.disc_aux {R : Type*} [comm_ring R] (a1 a2 a3 a4 a6 : R) : R :=
-432*a6^2 + ((288*a2 + 72*a1^2)*a4 + (-216*a3^2 + (144*a1*a2 + 36*a1^3)*a3 + (-64*a2^3 -
48*a1^2*a2^2 - 12*a1^4*a2 - a1^6)))*a6 + (-64*a4^3 + (-96*a1*a3 + (16*a2^2 + 8*a1^2*a2 + a1^4))*a4^2
+ ((72*a2 - 30*a1^2)*a3^2 + (16*a1*a2^2 + 8*a1^3*a2 + a1^5)*a3)*a4 + (-27*a3^4 + (36*a1*a2 +
a1^3)*a3^3 + (-16*a2^3 - 8*a1^2*a2^2 - a1^4*a2)*a3^2))
-- If Pic(R)[12]=0 then this definition is mathematically correct
/-- The category of elliptic curves over `R` (note that this definition is only mathematically
correct for certain rings, for example if `R` is a field or a PID). -/
structure EllipticCurve (R : Type*) [comm_ring R] :=
(a1 a2 a3 a4 a6 : R)
(disc_unit : Rˣ)
(disc_unit_eq : (disc_unit : R) = EllipticCurve.disc_aux a1 a2 a3 a4 a6)
namespace EllipticCurve
instance : inhabited (EllipticCurve ℚ) := ⟨⟨0,0,1,-1,0, ⟨37, 37⁻¹, by norm_num, by norm_num⟩,
show (37 : ℚ) = _ + _, by norm_num⟩⟩
variables {R : Type*} [comm_ring R] (E : EllipticCurve R)
/-- The discriminant of an elliptic curve. Sometimes only defined up to sign in the literature;
we choose the sign used by the LMFDB. See
[the LMFDB page on discriminants](https://www.lmfdb.org/knowledge/show/ec.discriminant)
for more discussion. -/
def disc : R := disc_aux E.a1 E.a2 E.a3 E.a4 E.a6
lemma disc_is_unit : is_unit E.disc :=
begin
convert units.is_unit E.disc_unit,
exact E.disc_unit_eq.symm
end
/-- The j-invariant of an elliptic curve. -/
def j := (-48*E.a4 + (-24*E.a1*E.a3 + (16*E.a2^2 + 8*E.a1^2*E.a2 + E.a1^4)))^3 *
(E.disc_unit⁻¹ : Rˣ)
end EllipticCurve
|
4864e67c80955bf2d22819f3676afe4dd9bd5d65 | 6432ea7a083ff6ba21ea17af9ee47b9c371760f7 | /src/Lean/Compiler/LCNF/OtherDecl.lean | 560ed28834aeb5a96a53671c940aede6b9c5d578 | [
"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 | 610 | lean | /-
Copyright (c) 2022 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Leonardo de Moura
-/
import Lean.Compiler.LCNF.BaseTypes
import Lean.Compiler.LCNF.MonoTypes
namespace Lean.Compiler.LCNF
/--
Return the LCNF type for constructors, inductive types, and foreign functions.
-/
def getOtherDeclType (declName : Name) (us : List Level := []) : CompilerM Expr := do
match (← getPhase) with
| .base => getOtherDeclBaseType declName us
| .mono => getOtherDeclMonoType declName
| _ => unreachable! -- TODO
end Lean.Compiler.LCNF
|
0d64ce49ec604a8f9255b77360c30c17b9ab95fd | fecda8e6b848337561d6467a1e30cf23176d6ad0 | /src/data/list/basic.lean | 46ae32be6ffa547df20dc80980f28feb0fc16ce8 | [
"Apache-2.0"
] | permissive | spolu/mathlib | bacf18c3d2a561d00ecdc9413187729dd1f705ed | 480c92cdfe1cf3c2d083abded87e82162e8814f4 | refs/heads/master | 1,671,684,094,325 | 1,600,736,045,000 | 1,600,736,045,000 | 297,564,749 | 1 | 0 | null | 1,600,758,368,000 | 1,600,758,367,000 | null | UTF-8 | Lean | false | false | 161,235 | lean | /-
Copyright (c) 2014 Parikshit Khanna. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Parikshit Khanna, Jeremy Avigad, Leonardo de Moura, Floris van Doorn, Mario Carneiro
-/
import algebra.order_functions
import control.monad.basic
import data.nat.choose.basic
import order.rel_classes
/-!
# Basic properties of lists
-/
open function nat
namespace list
universes u v w x
variables {α : Type u} {β : Type v} {γ : Type w} {δ : Type x}
attribute [inline] list.head
instance : is_left_id (list α) has_append.append [] :=
⟨ nil_append ⟩
instance : is_right_id (list α) has_append.append [] :=
⟨ append_nil ⟩
instance : is_associative (list α) has_append.append :=
⟨ append_assoc ⟩
theorem cons_ne_nil (a : α) (l : list α) : a::l ≠ [].
theorem cons_ne_self (a : α) (l : list α) : a::l ≠ l :=
mt (congr_arg length) (nat.succ_ne_self _)
theorem head_eq_of_cons_eq {h₁ h₂ : α} {t₁ t₂ : list α} :
(h₁::t₁) = (h₂::t₂) → h₁ = h₂ :=
assume Peq, list.no_confusion Peq (assume Pheq Pteq, Pheq)
theorem tail_eq_of_cons_eq {h₁ h₂ : α} {t₁ t₂ : list α} :
(h₁::t₁) = (h₂::t₂) → t₁ = t₂ :=
assume Peq, list.no_confusion Peq (assume Pheq Pteq, Pteq)
theorem cons_injective {a : α} : injective (cons a) :=
assume l₁ l₂, assume Pe, tail_eq_of_cons_eq Pe
theorem cons_inj (a : α) {l l' : list α} : a::l = a::l' ↔ l = l' :=
⟨λ e, cons_injective e, congr_arg _⟩
theorem exists_cons_of_ne_nil {l : list α} (h : l ≠ nil) : ∃ b L, l = b :: L :=
by { induction l with c l', contradiction, use [c,l'], }
/-! ### mem -/
theorem mem_singleton_self (a : α) : a ∈ [a] := mem_cons_self _ _
theorem eq_of_mem_singleton {a b : α} : a ∈ [b] → a = b :=
assume : a ∈ [b], or.elim (eq_or_mem_of_mem_cons this)
(assume : a = b, this)
(assume : a ∈ [], absurd this (not_mem_nil a))
@[simp] theorem mem_singleton {a b : α} : a ∈ [b] ↔ a = b :=
⟨eq_of_mem_singleton, or.inl⟩
theorem mem_of_mem_cons_of_mem {a b : α} {l : list α} : a ∈ b::l → b ∈ l → a ∈ l :=
assume ainbl binl, or.elim (eq_or_mem_of_mem_cons ainbl)
(assume : a = b, begin subst a, exact binl end)
(assume : a ∈ l, this)
theorem eq_or_ne_mem_of_mem {a b : α} {l : list α} (h : a ∈ b :: l) : a = b ∨ (a ≠ b ∧ a ∈ l) :=
classical.by_cases or.inl $ assume : a ≠ b, h.elim or.inl $ assume h, or.inr ⟨this, h⟩
theorem not_mem_append {a : α} {s t : list α} (h₁ : a ∉ s) (h₂ : a ∉ t) : a ∉ s ++ t :=
mt mem_append.1 $ not_or_distrib.2 ⟨h₁, h₂⟩
theorem ne_nil_of_mem {a : α} {l : list α} (h : a ∈ l) : l ≠ [] :=
by intro e; rw e at h; cases h
theorem mem_split {a : α} {l : list α} (h : a ∈ l) : ∃ s t : list α, l = s ++ a :: t :=
begin
induction l with b l ih, {cases h}, rcases h with rfl | h,
{ exact ⟨[], l, rfl⟩ },
{ rcases ih h with ⟨s, t, rfl⟩,
exact ⟨b::s, t, rfl⟩ }
end
theorem mem_of_ne_of_mem {a y : α} {l : list α} (h₁ : a ≠ y) (h₂ : a ∈ y :: l) : a ∈ l :=
or.elim (eq_or_mem_of_mem_cons h₂) (λe, absurd e h₁) (λr, r)
theorem ne_of_not_mem_cons {a b : α} {l : list α} : a ∉ b::l → a ≠ b :=
assume nin aeqb, absurd (or.inl aeqb) nin
theorem not_mem_of_not_mem_cons {a b : α} {l : list α} : a ∉ b::l → a ∉ l :=
assume nin nainl, absurd (or.inr nainl) nin
theorem not_mem_cons_of_ne_of_not_mem {a y : α} {l : list α} : a ≠ y → a ∉ l → a ∉ y::l :=
assume p1 p2, not.intro (assume Pain, absurd (eq_or_mem_of_mem_cons Pain) (not_or p1 p2))
theorem ne_and_not_mem_of_not_mem_cons {a y : α} {l : list α} : a ∉ y::l → a ≠ y ∧ a ∉ l :=
assume p, and.intro (ne_of_not_mem_cons p) (not_mem_of_not_mem_cons p)
theorem mem_map_of_mem (f : α → β) {a : α} {l : list α} (h : a ∈ l) : f a ∈ map f l :=
begin
induction l with b l' ih,
{cases h},
{rcases h with rfl | h,
{exact or.inl rfl},
{exact or.inr (ih h)}}
end
theorem exists_of_mem_map {f : α → β} {b : β} {l : list α} (h : b ∈ map f l) :
∃ a, a ∈ l ∧ f a = b :=
begin
induction l with c l' ih,
{cases h},
{cases (eq_or_mem_of_mem_cons h) with h h,
{exact ⟨c, mem_cons_self _ _, h.symm⟩},
{rcases ih h with ⟨a, ha₁, ha₂⟩,
exact ⟨a, mem_cons_of_mem _ ha₁, ha₂⟩ }}
end
@[simp] theorem mem_map {f : α → β} {b : β} {l : list α} : b ∈ map f l ↔ ∃ a, a ∈ l ∧ f a = b :=
⟨exists_of_mem_map, λ ⟨a, la, h⟩, by rw [← h]; exact mem_map_of_mem f la⟩
theorem mem_map_of_injective {f : α → β} (H : injective f) {a : α} {l : list α} :
f a ∈ map f l ↔ a ∈ l :=
⟨λ m, let ⟨a', m', e⟩ := exists_of_mem_map m in H e ▸ m', mem_map_of_mem _⟩
lemma forall_mem_map_iff {f : α → β} {l : list α} {P : β → Prop} :
(∀ i ∈ l.map f, P i) ↔ ∀ j ∈ l, P (f j) :=
begin
split,
{ assume H j hj,
exact H (f j) (mem_map_of_mem f hj) },
{ assume H i hi,
rcases mem_map.1 hi with ⟨j, hj, ji⟩,
rw ← ji,
exact H j hj }
end
@[simp] lemma map_eq_nil {f : α → β} {l : list α} : list.map f l = [] ↔ l = [] :=
⟨by cases l; simp only [forall_prop_of_true, map, forall_prop_of_false, not_false_iff],
λ h, h.symm ▸ rfl⟩
@[simp] theorem mem_join {a : α} : ∀ {L : list (list α)}, a ∈ join L ↔ ∃ l, l ∈ L ∧ a ∈ l
| [] := ⟨false.elim, λ⟨_, h, _⟩, false.elim h⟩
| (c :: L) := by simp only [join, mem_append, @mem_join L, mem_cons_iff, or_and_distrib_right,
exists_or_distrib, exists_eq_left]
theorem exists_of_mem_join {a : α} {L : list (list α)} : a ∈ join L → ∃ l, l ∈ L ∧ a ∈ l :=
mem_join.1
theorem mem_join_of_mem {a : α} {L : list (list α)} {l} (lL : l ∈ L) (al : a ∈ l) : a ∈ join L :=
mem_join.2 ⟨l, lL, al⟩
@[simp]
theorem mem_bind {b : β} {l : list α} {f : α → list β} : b ∈ list.bind l f ↔ ∃ a ∈ l, b ∈ f a :=
iff.trans mem_join
⟨λ ⟨l', h1, h2⟩, let ⟨a, al, fa⟩ := exists_of_mem_map h1 in ⟨a, al, fa.symm ▸ h2⟩,
λ ⟨a, al, bfa⟩, ⟨f a, mem_map_of_mem _ al, bfa⟩⟩
theorem exists_of_mem_bind {b : β} {l : list α} {f : α → list β} :
b ∈ list.bind l f → ∃ a ∈ l, b ∈ f a :=
mem_bind.1
theorem mem_bind_of_mem {b : β} {l : list α} {f : α → list β} {a} (al : a ∈ l) (h : b ∈ f a) :
b ∈ list.bind l f :=
mem_bind.2 ⟨a, al, h⟩
lemma bind_map {g : α → list β} {f : β → γ} :
∀(l : list α), list.map f (l.bind g) = l.bind (λa, (g a).map f)
| [] := rfl
| (a::l) := by simp only [cons_bind, map_append, bind_map l]
/-! ### length -/
theorem length_eq_zero {l : list α} : length l = 0 ↔ l = [] :=
⟨eq_nil_of_length_eq_zero, λ h, h.symm ▸ rfl⟩
theorem length_pos_of_mem {a : α} : ∀ {l : list α}, a ∈ l → 0 < length l
| (b::l) _ := zero_lt_succ _
theorem exists_mem_of_length_pos : ∀ {l : list α}, 0 < length l → ∃ a, a ∈ l
| (b::l) _ := ⟨b, mem_cons_self _ _⟩
theorem length_pos_iff_exists_mem {l : list α} : 0 < length l ↔ ∃ a, a ∈ l :=
⟨exists_mem_of_length_pos, λ ⟨a, h⟩, length_pos_of_mem h⟩
theorem ne_nil_of_length_pos {l : list α} : 0 < length l → l ≠ [] :=
λ h1 h2, lt_irrefl 0 ((length_eq_zero.2 h2).subst h1)
theorem length_pos_of_ne_nil {l : list α} : l ≠ [] → 0 < length l :=
λ h, pos_iff_ne_zero.2 $ λ h0, h $ length_eq_zero.1 h0
theorem length_pos_iff_ne_nil {l : list α} : 0 < length l ↔ l ≠ [] :=
⟨ne_nil_of_length_pos, length_pos_of_ne_nil⟩
theorem length_eq_one {l : list α} : length l = 1 ↔ ∃ a, l = [a] :=
⟨match l with [a], _ := ⟨a, rfl⟩ end, λ ⟨a, e⟩, e.symm ▸ rfl⟩
lemma exists_of_length_succ {n} :
∀ l : list α, l.length = n + 1 → ∃ h t, l = h :: t
| [] H := absurd H.symm $ succ_ne_zero n
| (h :: t) H := ⟨h, t, rfl⟩
lemma length_injective_iff : injective (list.length : list α → ℕ) ↔ subsingleton α :=
begin
split,
{ intro h, refine ⟨λ x y, _⟩, suffices : [x] = [y], { simpa using this }, apply h, refl },
{ intros hα l1 l2 hl, induction l1 generalizing l2; cases l2,
{ refl }, { cases hl }, { cases hl },
congr, exactI subsingleton.elim _ _, apply l1_ih, simpa using hl }
end
lemma length_injective [subsingleton α] : injective (length : list α → ℕ) :=
length_injective_iff.mpr $ by apply_instance
/-! ### set-theoretic notation of lists -/
lemma empty_eq : (∅ : list α) = [] := by refl
lemma singleton_eq (x : α) : ({x} : list α) = [x] := rfl
lemma insert_neg [decidable_eq α] {x : α} {l : list α} (h : x ∉ l) :
has_insert.insert x l = x :: l :=
if_neg h
lemma insert_pos [decidable_eq α] {x : α} {l : list α} (h : x ∈ l) :
has_insert.insert x l = l :=
if_pos h
lemma doubleton_eq [decidable_eq α] {x y : α} (h : x ≠ y) : ({x, y} : list α) = [x, y] :=
by { rw [insert_neg, singleton_eq], rwa [singleton_eq, mem_singleton] }
/-! ### bounded quantifiers over lists -/
theorem forall_mem_nil (p : α → Prop) : ∀ x ∈ @nil α, p x.
@[simp] theorem forall_mem_cons' {p : α → Prop} {a : α} {l : list α} :
(∀ (x : α), x = a ∨ x ∈ l → p x) ↔ p a ∧ ∀ x ∈ l, p x :=
by simp only [or_imp_distrib, forall_and_distrib, forall_eq]
theorem forall_mem_cons {p : α → Prop} {a : α} {l : list α} :
(∀ x ∈ a :: l, p x) ↔ p a ∧ ∀ x ∈ l, p x :=
by simp only [mem_cons_iff, forall_mem_cons']
theorem forall_mem_of_forall_mem_cons {p : α → Prop} {a : α} {l : list α}
(h : ∀ x ∈ a :: l, p x) :
∀ x ∈ l, p x :=
(forall_mem_cons.1 h).2
theorem forall_mem_singleton {p : α → Prop} {a : α} : (∀ x ∈ [a], p x) ↔ p a :=
by simp only [mem_singleton, forall_eq]
theorem forall_mem_append {p : α → Prop} {l₁ l₂ : list α} :
(∀ x ∈ l₁ ++ l₂, p x) ↔ (∀ x ∈ l₁, p x) ∧ (∀ x ∈ l₂, p x) :=
by simp only [mem_append, or_imp_distrib, forall_and_distrib]
theorem not_exists_mem_nil (p : α → Prop) : ¬ ∃ x ∈ @nil α, p x.
theorem exists_mem_cons_of {p : α → Prop} {a : α} (l : list α) (h : p a) :
∃ x ∈ a :: l, p x :=
bex.intro a (mem_cons_self _ _) h
theorem exists_mem_cons_of_exists {p : α → Prop} {a : α} {l : list α} (h : ∃ x ∈ l, p x) :
∃ x ∈ a :: l, p x :=
bex.elim h (λ x xl px, bex.intro x (mem_cons_of_mem _ xl) px)
theorem or_exists_of_exists_mem_cons {p : α → Prop} {a : α} {l : list α} (h : ∃ x ∈ a :: l, p x) :
p a ∨ ∃ x ∈ l, p x :=
bex.elim h (λ x xal px,
or.elim (eq_or_mem_of_mem_cons xal)
(assume : x = a, begin rw ←this, left, exact px end)
(assume : x ∈ l, or.inr (bex.intro x this px)))
theorem exists_mem_cons_iff (p : α → Prop) (a : α) (l : list α) :
(∃ x ∈ a :: l, p x) ↔ p a ∨ ∃ x ∈ l, p x :=
iff.intro or_exists_of_exists_mem_cons
(assume h, or.elim h (exists_mem_cons_of l) exists_mem_cons_of_exists)
/-! ### list subset -/
theorem subset_def {l₁ l₂ : list α} : l₁ ⊆ l₂ ↔ ∀ ⦃a : α⦄, a ∈ l₁ → a ∈ l₂ := iff.rfl
theorem subset_append_of_subset_left (l l₁ l₂ : list α) : l ⊆ l₁ → l ⊆ l₁++l₂ :=
λ s, subset.trans s $ subset_append_left _ _
theorem subset_append_of_subset_right (l l₁ l₂ : list α) : l ⊆ l₂ → l ⊆ l₁++l₂ :=
λ s, subset.trans s $ subset_append_right _ _
@[simp] theorem cons_subset {a : α} {l m : list α} :
a::l ⊆ m ↔ a ∈ m ∧ l ⊆ m :=
by simp only [subset_def, mem_cons_iff, or_imp_distrib, forall_and_distrib, forall_eq]
theorem cons_subset_of_subset_of_mem {a : α} {l m : list α}
(ainm : a ∈ m) (lsubm : l ⊆ m) : a::l ⊆ m :=
cons_subset.2 ⟨ainm, lsubm⟩
theorem append_subset_of_subset_of_subset {l₁ l₂ l : list α} (l₁subl : l₁ ⊆ l) (l₂subl : l₂ ⊆ l) :
l₁ ++ l₂ ⊆ l :=
λ a h, (mem_append.1 h).elim (@l₁subl _) (@l₂subl _)
@[simp] theorem append_subset_iff {l₁ l₂ l : list α} :
l₁ ++ l₂ ⊆ l ↔ l₁ ⊆ l ∧ l₂ ⊆ l :=
begin
split,
{ intro h, simp only [subset_def] at *, split; intros; simp* },
{ rintro ⟨h1, h2⟩, apply append_subset_of_subset_of_subset h1 h2 }
end
theorem eq_nil_of_subset_nil : ∀ {l : list α}, l ⊆ [] → l = []
| [] s := rfl
| (a::l) s := false.elim $ s $ mem_cons_self a l
theorem eq_nil_iff_forall_not_mem {l : list α} : l = [] ↔ ∀ a, a ∉ l :=
show l = [] ↔ l ⊆ [], from ⟨λ e, e ▸ subset.refl _, eq_nil_of_subset_nil⟩
theorem map_subset {l₁ l₂ : list α} (f : α → β) (H : l₁ ⊆ l₂) : map f l₁ ⊆ map f l₂ :=
λ x, by simp only [mem_map, not_and, exists_imp_distrib, and_imp]; exact λ a h e, ⟨a, H h, e⟩
theorem map_subset_iff {l₁ l₂ : list α} (f : α → β) (h : injective f) :
map f l₁ ⊆ map f l₂ ↔ l₁ ⊆ l₂ :=
begin
refine ⟨_, map_subset f⟩, intros h2 x hx,
rcases mem_map.1 (h2 (mem_map_of_mem f hx)) with ⟨x', hx', hxx'⟩,
cases h hxx', exact hx'
end
/-! ### append -/
lemma append_eq_has_append {L₁ L₂ : list α} : list.append L₁ L₂ = L₁ ++ L₂ := rfl
@[simp] lemma singleton_append {x : α} {l : list α} : [x] ++ l = x :: l := rfl
theorem append_ne_nil_of_ne_nil_left (s t : list α) : s ≠ [] → s ++ t ≠ [] :=
by induction s; intros; contradiction
theorem append_ne_nil_of_ne_nil_right (s t : list α) : t ≠ [] → s ++ t ≠ [] :=
by induction s; intros; contradiction
@[simp] lemma append_eq_nil {p q : list α} : (p ++ q) = [] ↔ p = [] ∧ q = [] :=
by cases p; simp only [nil_append, cons_append, eq_self_iff_true, true_and, false_and]
@[simp] lemma nil_eq_append_iff {a b : list α} : [] = a ++ b ↔ a = [] ∧ b = [] :=
by rw [eq_comm, append_eq_nil]
lemma append_eq_cons_iff {a b c : list α} {x : α} :
a ++ b = x :: c ↔ (a = [] ∧ b = x :: c) ∨ (∃a', a = x :: a' ∧ c = a' ++ b) :=
by cases a; simp only [and_assoc, @eq_comm _ c, nil_append, cons_append, eq_self_iff_true,
true_and, false_and, exists_false, false_or, or_false, exists_and_distrib_left, exists_eq_left']
lemma cons_eq_append_iff {a b c : list α} {x : α} :
(x :: c : list α) = a ++ b ↔ (a = [] ∧ b = x :: c) ∨ (∃a', a = x :: a' ∧ c = a' ++ b) :=
by rw [eq_comm, append_eq_cons_iff]
lemma append_eq_append_iff {a b c d : list α} :
a ++ b = c ++ d ↔ (∃a', c = a ++ a' ∧ b = a' ++ d) ∨ (∃c', a = c ++ c' ∧ d = c' ++ b) :=
begin
induction a generalizing c,
case nil { rw nil_append, split,
{ rintro rfl, left, exact ⟨_, rfl, rfl⟩ },
{ rintro (⟨a', rfl, rfl⟩ | ⟨a', H, rfl⟩), {refl}, {rw [← append_assoc, ← H], refl} } },
case cons : a as ih {
cases c,
{ simp only [cons_append, nil_append, false_and, exists_false, false_or, exists_eq_left'],
exact eq_comm },
{ simp only [cons_append, @eq_comm _ a, ih, and_assoc, and_or_distrib_left,
exists_and_distrib_left] } }
end
@[simp] theorem split_at_eq_take_drop : ∀ (n : ℕ) (l : list α), split_at n l = (take n l, drop n l)
| 0 a := rfl
| (succ n) [] := rfl
| (succ n) (x :: xs) := by simp only [split_at, split_at_eq_take_drop n xs, take, drop]
@[simp] theorem take_append_drop : ∀ (n : ℕ) (l : list α), take n l ++ drop n l = l
| 0 a := rfl
| (succ n) [] := rfl
| (succ n) (x :: xs) := congr_arg (cons x) $ take_append_drop n xs
-- TODO(Leo): cleanup proof after arith dec proc
theorem append_inj :
∀ {s₁ s₂ t₁ t₂ : list α}, s₁ ++ t₁ = s₂ ++ t₂ → length s₁ = length s₂ → s₁ = s₂ ∧ t₁ = t₂
| [] [] t₁ t₂ h hl := ⟨rfl, h⟩
| (a::s₁) [] t₁ t₂ h hl := list.no_confusion $ eq_nil_of_length_eq_zero hl
| [] (b::s₂) t₁ t₂ h hl := list.no_confusion $ eq_nil_of_length_eq_zero hl.symm
| (a::s₁) (b::s₂) t₁ t₂ h hl := list.no_confusion h $ λab hap,
let ⟨e1, e2⟩ := @append_inj s₁ s₂ t₁ t₂ hap (succ.inj hl) in
by rw [ab, e1, e2]; exact ⟨rfl, rfl⟩
theorem append_inj_right {s₁ s₂ t₁ t₂ : list α} (h : s₁ ++ t₁ = s₂ ++ t₂)
(hl : length s₁ = length s₂) : t₁ = t₂ :=
(append_inj h hl).right
theorem append_inj_left {s₁ s₂ t₁ t₂ : list α} (h : s₁ ++ t₁ = s₂ ++ t₂)
(hl : length s₁ = length s₂) : s₁ = s₂ :=
(append_inj h hl).left
theorem append_inj' {s₁ s₂ t₁ t₂ : list α} (h : s₁ ++ t₁ = s₂ ++ t₂) (hl : length t₁ = length t₂) :
s₁ = s₂ ∧ t₁ = t₂ :=
append_inj h $ @nat.add_right_cancel _ (length t₁) _ $
let hap := congr_arg length h in by simp only [length_append] at hap; rwa [← hl] at hap
theorem append_inj_right' {s₁ s₂ t₁ t₂ : list α} (h : s₁ ++ t₁ = s₂ ++ t₂)
(hl : length t₁ = length t₂) : t₁ = t₂ :=
(append_inj' h hl).right
theorem append_inj_left' {s₁ s₂ t₁ t₂ : list α} (h : s₁ ++ t₁ = s₂ ++ t₂)
(hl : length t₁ = length t₂) : s₁ = s₂ :=
(append_inj' h hl).left
theorem append_left_cancel {s t₁ t₂ : list α} (h : s ++ t₁ = s ++ t₂) : t₁ = t₂ :=
append_inj_right h rfl
theorem append_right_cancel {s₁ s₂ t : list α} (h : s₁ ++ t = s₂ ++ t) : s₁ = s₂ :=
append_inj_left' h rfl
theorem append_right_inj {t₁ t₂ : list α} (s) : s ++ t₁ = s ++ t₂ ↔ t₁ = t₂ :=
⟨append_left_cancel, congr_arg _⟩
theorem append_left_inj {s₁ s₂ : list α} (t) : s₁ ++ t = s₂ ++ t ↔ s₁ = s₂ :=
⟨append_right_cancel, congr_arg _⟩
theorem map_eq_append_split {f : α → β} {l : list α} {s₁ s₂ : list β}
(h : map f l = s₁ ++ s₂) : ∃ l₁ l₂, l = l₁ ++ l₂ ∧ map f l₁ = s₁ ∧ map f l₂ = s₂ :=
begin
have := h, rw [← take_append_drop (length s₁) l] at this ⊢,
rw map_append at this,
refine ⟨_, _, rfl, append_inj this _⟩,
rw [length_map, length_take, min_eq_left],
rw [← length_map f l, h, length_append],
apply nat.le_add_right
end
/-! ### repeat -/
@[simp] theorem repeat_succ (a : α) (n) : repeat a (n + 1) = a :: repeat a n := rfl
theorem eq_of_mem_repeat {a b : α} : ∀ {n}, b ∈ repeat a n → b = a
| (n+1) h := or.elim h id $ @eq_of_mem_repeat _
theorem eq_repeat_of_mem {a : α} : ∀ {l : list α}, (∀ b ∈ l, b = a) → l = repeat a l.length
| [] H := rfl
| (b::l) H := by cases forall_mem_cons.1 H with H₁ H₂;
unfold length repeat; congr; [exact H₁, exact eq_repeat_of_mem H₂]
theorem eq_repeat' {a : α} {l : list α} : l = repeat a l.length ↔ ∀ b ∈ l, b = a :=
⟨λ h, h.symm ▸ λ b, eq_of_mem_repeat, eq_repeat_of_mem⟩
theorem eq_repeat {a : α} {n} {l : list α} : l = repeat a n ↔ length l = n ∧ ∀ b ∈ l, b = a :=
⟨λ h, h.symm ▸ ⟨length_repeat _ _, λ b, eq_of_mem_repeat⟩,
λ ⟨e, al⟩, e ▸ eq_repeat_of_mem al⟩
theorem repeat_add (a : α) (m n) : repeat a (m + n) = repeat a m ++ repeat a n :=
by induction m; simp only [*, zero_add, succ_add, repeat]; split; refl
theorem repeat_subset_singleton (a : α) (n) : repeat a n ⊆ [a] :=
λ b h, mem_singleton.2 (eq_of_mem_repeat h)
@[simp] theorem map_const (l : list α) (b : β) : map (function.const α b) l = repeat b l.length :=
by induction l; [refl, simp only [*, map]]; split; refl
theorem eq_of_mem_map_const {b₁ b₂ : β} {l : list α} (h : b₁ ∈ map (function.const α b₂) l) :
b₁ = b₂ :=
by rw map_const at h; exact eq_of_mem_repeat h
@[simp] theorem map_repeat (f : α → β) (a : α) (n) : map f (repeat a n) = repeat (f a) n :=
by induction n; [refl, simp only [*, repeat, map]]; split; refl
@[simp] theorem tail_repeat (a : α) (n) : tail (repeat a n) = repeat a n.pred :=
by cases n; refl
@[simp] theorem join_repeat_nil (n : ℕ) : join (repeat [] n) = @nil α :=
by induction n; [refl, simp only [*, repeat, join, append_nil]]
/-! ### pure -/
@[simp] theorem mem_pure {α} (x y : α) :
x ∈ (pure y : list α) ↔ x = y := by simp! [pure,list.ret]
/-! ### bind -/
@[simp] theorem bind_eq_bind {α β} (f : α → list β) (l : list α) :
l >>= f = l.bind f := rfl
@[simp] theorem bind_append (f : α → list β) (l₁ l₂ : list α) :
(l₁ ++ l₂).bind f = l₁.bind f ++ l₂.bind f :=
append_bind _ _ _
@[simp] theorem bind_singleton (f : α → list β) (x : α) : [x].bind f = f x :=
append_nil (f x)
/-! ### concat -/
theorem concat_nil (a : α) : concat [] a = [a] := rfl
theorem concat_cons (a b : α) (l : list α) : concat (a :: l) b = a :: concat l b := rfl
@[simp] theorem concat_eq_append (a : α) (l : list α) : concat l a = l ++ [a] :=
by induction l; simp only [*, concat]; split; refl
theorem init_eq_of_concat_eq {a : α} {l₁ l₂ : list α} : concat l₁ a = concat l₂ a → l₁ = l₂ :=
begin
intro h,
rw [concat_eq_append, concat_eq_append] at h,
exact append_right_cancel h
end
theorem last_eq_of_concat_eq {a b : α} {l : list α} : concat l a = concat l b → a = b :=
begin
intro h,
rw [concat_eq_append, concat_eq_append] at h,
exact head_eq_of_cons_eq (append_left_cancel h)
end
theorem concat_ne_nil (a : α) (l : list α) : concat l a ≠ [] :=
by simp
theorem concat_append (a : α) (l₁ l₂ : list α) : concat l₁ a ++ l₂ = l₁ ++ a :: l₂ :=
by simp
theorem length_concat (a : α) (l : list α) : length (concat l a) = succ (length l) :=
by simp only [concat_eq_append, length_append, length]
theorem append_concat (a : α) (l₁ l₂ : list α) : l₁ ++ concat l₂ a = concat (l₁ ++ l₂) a :=
by simp
/-! ### reverse -/
@[simp] theorem reverse_nil : reverse (@nil α) = [] := rfl
local attribute [simp] reverse_core
@[simp] theorem reverse_cons (a : α) (l : list α) : reverse (a::l) = reverse l ++ [a] :=
have aux : ∀ l₁ l₂, reverse_core l₁ l₂ ++ [a] = reverse_core l₁ (l₂ ++ [a]),
by intro l₁; induction l₁; intros; [refl, simp only [*, reverse_core, cons_append]],
(aux l nil).symm
theorem reverse_core_eq (l₁ l₂ : list α) : reverse_core l₁ l₂ = reverse l₁ ++ l₂ :=
by induction l₁ generalizing l₂; [refl, simp only [*, reverse_core, reverse_cons, append_assoc]];
refl
theorem reverse_cons' (a : α) (l : list α) : reverse (a::l) = concat (reverse l) a :=
by simp only [reverse_cons, concat_eq_append]
@[simp] theorem reverse_singleton (a : α) : reverse [a] = [a] := rfl
@[simp] theorem reverse_append (s t : list α) : reverse (s ++ t) = (reverse t) ++ (reverse s) :=
by induction s; [rw [nil_append, reverse_nil, append_nil],
simp only [*, cons_append, reverse_cons, append_assoc]]
theorem reverse_concat (l : list α) (a : α) : reverse (concat l a) = a :: reverse l :=
by rw [concat_eq_append, reverse_append, reverse_singleton, singleton_append]
@[simp] theorem reverse_reverse (l : list α) : reverse (reverse l) = l :=
by induction l; [refl, simp only [*, reverse_cons, reverse_append]]; refl
theorem reverse_injective : injective (@reverse α) :=
left_inverse.injective reverse_reverse
@[simp] theorem reverse_inj {l₁ l₂ : list α} : reverse l₁ = reverse l₂ ↔ l₁ = l₂ :=
reverse_injective.eq_iff
@[simp] theorem reverse_eq_nil {l : list α} : reverse l = [] ↔ l = [] :=
@reverse_inj _ l []
theorem concat_eq_reverse_cons (a : α) (l : list α) : concat l a = reverse (a :: reverse l) :=
by simp only [concat_eq_append, reverse_cons, reverse_reverse]
@[simp] theorem length_reverse (l : list α) : length (reverse l) = length l :=
by induction l; [refl, simp only [*, reverse_cons, length_append, length]]
@[simp] theorem map_reverse (f : α → β) (l : list α) : map f (reverse l) = reverse (map f l) :=
by induction l; [refl, simp only [*, map, reverse_cons, map_append]]
theorem map_reverse_core (f : α → β) (l₁ l₂ : list α) :
map f (reverse_core l₁ l₂) = reverse_core (map f l₁) (map f l₂) :=
by simp only [reverse_core_eq, map_append, map_reverse]
@[simp] theorem mem_reverse {a : α} {l : list α} : a ∈ reverse l ↔ a ∈ l :=
by induction l; [refl, simp only [*, reverse_cons, mem_append, mem_singleton, mem_cons_iff,
not_mem_nil, false_or, or_false, or_comm]]
@[simp] theorem reverse_repeat (a : α) (n) : reverse (repeat a n) = repeat a n :=
eq_repeat.2 ⟨by simp only [length_reverse, length_repeat],
λ b h, eq_of_mem_repeat (mem_reverse.1 h)⟩
/-! ### is_nil -/
lemma is_nil_iff_eq_nil {l : list α} : l.is_nil ↔ l = [] :=
list.cases_on l (by simp [is_nil]) (by simp [is_nil])
/-! ### init -/
@[simp] theorem length_init : ∀ (l : list α), length (init l) = length l - 1
| [] := rfl
| [a] := rfl
| (a :: b :: l) :=
begin
rw init,
simp only [add_left_inj, length, succ_add_sub_one],
exact length_init (b :: l)
end
/-! ### last -/
@[simp] theorem last_cons {a : α} {l : list α} :
∀ (h₁ : a :: l ≠ nil) (h₂ : l ≠ nil), last (a :: l) h₁ = last l h₂ :=
by {induction l; intros, contradiction, reflexivity}
@[simp] theorem last_append {a : α} (l : list α) (h : l ++ [a] ≠ []) : last (l ++ [a]) h = a :=
by induction l;
[refl, simp only [cons_append, last_cons _ (λ H, cons_ne_nil _ _ (append_eq_nil.1 H).2), *]]
theorem last_concat {a : α} (l : list α) (h : concat l a ≠ []) : last (concat l a) h = a :=
by simp only [concat_eq_append, last_append]
@[simp] theorem last_singleton (a : α) (h : [a] ≠ []) : last [a] h = a := rfl
@[simp] theorem last_cons_cons (a₁ a₂ : α) (l : list α) (h : a₁::a₂::l ≠ []) :
last (a₁::a₂::l) h = last (a₂::l) (cons_ne_nil a₂ l) := rfl
theorem init_append_last : ∀ {l : list α} (h : l ≠ []), init l ++ [last l h] = l
| [] h := absurd rfl h
| [a] h := rfl
| (a::b::l) h :=
begin
rw [init, cons_append, last_cons (cons_ne_nil _ _) (cons_ne_nil _ _)],
congr,
exact init_append_last (cons_ne_nil b l)
end
theorem last_congr {l₁ l₂ : list α} (h₁ : l₁ ≠ []) (h₂ : l₂ ≠ []) (h₃ : l₁ = l₂) :
last l₁ h₁ = last l₂ h₂ :=
by subst l₁
theorem last_mem : ∀ {l : list α} (h : l ≠ []), last l h ∈ l
| [] h := absurd rfl h
| [a] h := or.inl rfl
| (a::b::l) h := or.inr $ by { rw [last_cons_cons], exact last_mem (cons_ne_nil b l) }
lemma last_repeat_succ (a m : ℕ) :
(repeat a m.succ).last (ne_nil_of_length_eq_succ
(show (repeat a m.succ).length = m.succ, by rw length_repeat)) = a :=
begin
induction m with k IH,
{ simp },
{ simpa only [repeat_succ, last] }
end
/-! ### last' -/
@[simp] theorem last'_is_none :
∀ {l : list α}, (last' l).is_none ↔ l = []
| [] := by simp
| [a] := by simp
| (a::b::l) := by simp [@last'_is_none (b::l)]
@[simp] theorem last'_is_some : ∀ {l : list α}, l.last'.is_some ↔ l ≠ []
| [] := by simp
| [a] := by simp
| (a::b::l) := by simp [@last'_is_some (b::l)]
theorem mem_last'_eq_last : ∀ {l : list α} {x : α}, x ∈ l.last' → ∃ h, x = last l h
| [] x hx := false.elim $ by simpa using hx
| [a] x hx := have a = x, by simpa using hx, this ▸ ⟨cons_ne_nil a [], rfl⟩
| (a::b::l) x hx :=
begin
rw last' at hx,
rcases mem_last'_eq_last hx with ⟨h₁, h₂⟩,
use cons_ne_nil _ _,
rwa [last_cons]
end
theorem mem_of_mem_last' {l : list α} {a : α} (ha : a ∈ l.last') : a ∈ l :=
let ⟨h₁, h₂⟩ := mem_last'_eq_last ha in h₂.symm ▸ last_mem _
theorem init_append_last' : ∀ {l : list α} (a ∈ l.last'), init l ++ [a] = l
| [] a ha := (option.not_mem_none a ha).elim
| [a] _ rfl := rfl
| (a :: b :: l) c hc := by { rw [last'] at hc, rw [init, cons_append, init_append_last' _ hc] }
theorem ilast_eq_last' [inhabited α] : ∀ l : list α, l.ilast = l.last'.iget
| [] := by simp [ilast, arbitrary]
| [a] := rfl
| [a, b] := rfl
| [a, b, c] := rfl
| (a :: b :: c :: l) := by simp [ilast, ilast_eq_last' (c :: l)]
@[simp] theorem last'_append_cons : ∀ (l₁ : list α) (a : α) (l₂ : list α),
last' (l₁ ++ a :: l₂) = last' (a :: l₂)
| [] a l₂ := rfl
| [b] a l₂ := rfl
| (b::c::l₁) a l₂ := by rw [cons_append, cons_append, last', ← cons_append, last'_append_cons]
theorem last'_append_of_ne_nil (l₁ : list α) : ∀ {l₂ : list α} (hl₂ : l₂ ≠ []),
last' (l₁ ++ l₂) = last' l₂
| [] hl₂ := by contradiction
| (b::l₂) _ := last'_append_cons l₁ b l₂
/-! ### head(') and tail -/
theorem head_eq_head' [inhabited α] (l : list α) : head l = (head' l).iget :=
by cases l; refl
theorem mem_of_mem_head' {x : α} : ∀ {l : list α}, x ∈ l.head' → x ∈ l
| [] h := (option.not_mem_none _ h).elim
| (a::l) h := by { simp only [head', option.mem_def] at h, exact h ▸ or.inl rfl }
@[simp] theorem head_cons [inhabited α] (a : α) (l : list α) : head (a::l) = a := rfl
@[simp] theorem tail_nil : tail (@nil α) = [] := rfl
@[simp] theorem tail_cons (a : α) (l : list α) : tail (a::l) = l := rfl
@[simp] theorem head_append [inhabited α] (t : list α) {s : list α} (h : s ≠ []) :
head (s ++ t) = head s :=
by {induction s, contradiction, refl}
theorem tail_append_singleton_of_ne_nil {a : α} {l : list α} (h : l ≠ nil) :
tail (l ++ [a]) = tail l ++ [a] :=
by { induction l, contradiction, rw [tail,cons_append,tail], }
theorem cons_head'_tail : ∀ {l : list α} {a : α} (h : a ∈ head' l), a :: tail l = l
| [] a h := by contradiction
| (b::l) a h := by { simp at h, simp [h] }
theorem head_mem_head' [inhabited α] : ∀ {l : list α} (h : l ≠ []), head l ∈ head' l
| [] h := by contradiction
| (a::l) h := rfl
theorem cons_head_tail [inhabited α] {l : list α} (h : l ≠ []) : (head l)::(tail l) = l :=
cons_head'_tail (head_mem_head' h)
@[simp] theorem head'_map (f : α → β) (l) : head' (map f l) = (head' l).map f := by cases l; refl
/-! ### Induction from the right -/
/-- Induction principle from the right for lists: if a property holds for the empty list, and
for `l ++ [a]` if it holds for `l`, then it holds for all lists. The principle is given for
a `Sort`-valued predicate, i.e., it can also be used to construct data. -/
@[elab_as_eliminator] def reverse_rec_on {C : list α → Sort*}
(l : list α) (H0 : C [])
(H1 : ∀ (l : list α) (a : α), C l → C (l ++ [a])) : C l :=
begin
rw ← reverse_reverse l,
induction reverse l,
{ exact H0 },
{ rw reverse_cons, exact H1 _ _ ih }
end
/-- Bidirectional induction principle for lists: if a property holds for the empty list, the
singleton list, and `a :: (l ++ [b])` from `l`, then it holds for all lists. This can be used to
prove statements about palindromes. The principle is given for a `Sort`-valued predicate, i.e., it
can also be used to construct data. -/
def bidirectional_rec {C : list α → Sort*}
(H0 : C []) (H1 : ∀ (a : α), C [a])
(Hn : ∀ (a : α) (l : list α) (b : α), C l → C (a :: (l ++ [b]))) : ∀ l, C l
| [] := H0
| [a] := H1 a
| (a :: b :: l) :=
let l' := init (b :: l), b' := last (b :: l) (cons_ne_nil _ _) in
have length l' < length (a :: b :: l), by { change _ < length l + 2, simp },
begin
rw ←init_append_last (cons_ne_nil b l),
have : C l', from bidirectional_rec l',
exact Hn a l' b' ‹C l'›
end
using_well_founded { rel_tac := λ _ _, `[exact ⟨_, measure_wf list.length⟩] }
/-- Like `bidirectional_rec`, but with the list parameter placed first. -/
@[elab_as_eliminator] def bidirectional_rec_on {C : list α → Sort*}
(l : list α) (H0 : C []) (H1 : ∀ (a : α), C [a])
(Hn : ∀ (a : α) (l : list α) (b : α), C l → C (a :: (l ++ [b]))) : C l :=
bidirectional_rec H0 H1 Hn l
/-! ### sublists -/
@[simp] theorem nil_sublist : Π (l : list α), [] <+ l
| [] := sublist.slnil
| (a :: l) := sublist.cons _ _ a (nil_sublist l)
@[refl, simp] theorem sublist.refl : Π (l : list α), l <+ l
| [] := sublist.slnil
| (a :: l) := sublist.cons2 _ _ a (sublist.refl l)
@[trans] theorem sublist.trans {l₁ l₂ l₃ : list α} (h₁ : l₁ <+ l₂) (h₂ : l₂ <+ l₃) : l₁ <+ l₃ :=
sublist.rec_on h₂ (λ_ s, s)
(λl₂ l₃ a h₂ IH l₁ h₁, sublist.cons _ _ _ (IH l₁ h₁))
(λl₂ l₃ a h₂ IH l₁ h₁, @sublist.cases_on _ (λl₁ l₂', l₂' = a :: l₂ → l₁ <+ a :: l₃) _ _ h₁
(λ_, nil_sublist _)
(λl₁ l₂' a' h₁' e, match a', l₂', e, h₁' with ._, ._, rfl, h₁ :=
sublist.cons _ _ _ (IH _ h₁) end)
(λl₁ l₂' a' h₁' e, match a', l₂', e, h₁' with ._, ._, rfl, h₁ :=
sublist.cons2 _ _ _ (IH _ h₁) end) rfl)
l₁ h₁
@[simp] theorem sublist_cons (a : α) (l : list α) : l <+ a::l :=
sublist.cons _ _ _ (sublist.refl l)
theorem sublist_of_cons_sublist {a : α} {l₁ l₂ : list α} : a::l₁ <+ l₂ → l₁ <+ l₂ :=
sublist.trans (sublist_cons a l₁)
theorem cons_sublist_cons {l₁ l₂ : list α} (a : α) (s : l₁ <+ l₂) : a::l₁ <+ a::l₂ :=
sublist.cons2 _ _ _ s
@[simp] theorem sublist_append_left : Π (l₁ l₂ : list α), l₁ <+ l₁++l₂
| [] l₂ := nil_sublist _
| (a::l₁) l₂ := cons_sublist_cons _ (sublist_append_left l₁ l₂)
@[simp] theorem sublist_append_right : Π (l₁ l₂ : list α), l₂ <+ l₁++l₂
| [] l₂ := sublist.refl _
| (a::l₁) l₂ := sublist.cons _ _ _ (sublist_append_right l₁ l₂)
theorem sublist_cons_of_sublist (a : α) {l₁ l₂ : list α} : l₁ <+ l₂ → l₁ <+ a::l₂ :=
sublist.cons _ _ _
theorem sublist_append_of_sublist_left {l l₁ l₂ : list α} (s : l <+ l₁) : l <+ l₁++l₂ :=
s.trans $ sublist_append_left _ _
theorem sublist_append_of_sublist_right {l l₁ l₂ : list α} (s : l <+ l₂) : l <+ l₁++l₂ :=
s.trans $ sublist_append_right _ _
theorem sublist_of_cons_sublist_cons {l₁ l₂ : list α} : ∀ {a : α}, a::l₁ <+ a::l₂ → l₁ <+ l₂
| ._ (sublist.cons ._ ._ a s) := sublist_of_cons_sublist s
| ._ (sublist.cons2 ._ ._ a s) := s
theorem cons_sublist_cons_iff {l₁ l₂ : list α} {a : α} : a::l₁ <+ a::l₂ ↔ l₁ <+ l₂ :=
⟨sublist_of_cons_sublist_cons, cons_sublist_cons _⟩
@[simp] theorem append_sublist_append_left {l₁ l₂ : list α} : ∀ l, l++l₁ <+ l++l₂ ↔ l₁ <+ l₂
| [] := iff.rfl
| (a::l) := cons_sublist_cons_iff.trans (append_sublist_append_left l)
theorem sublist.append_right {l₁ l₂ : list α} (h : l₁ <+ l₂) (l) : l₁++l <+ l₂++l :=
begin
induction h with _ _ a _ ih _ _ a _ ih,
{ refl },
{ apply sublist_cons_of_sublist a ih },
{ apply cons_sublist_cons a ih }
end
theorem sublist_or_mem_of_sublist {l l₁ l₂ : list α} {a : α} (h : l <+ l₁ ++ a::l₂) :
l <+ l₁ ++ l₂ ∨ a ∈ l :=
begin
induction l₁ with b l₁ IH generalizing l,
{ cases h, { left, exact ‹l <+ l₂› }, { right, apply mem_cons_self } },
{ cases h with _ _ _ h _ _ _ h,
{ exact or.imp_left (sublist_cons_of_sublist _) (IH h) },
{ exact (IH h).imp (cons_sublist_cons _) (mem_cons_of_mem _) } }
end
theorem sublist.reverse {l₁ l₂ : list α} (h : l₁ <+ l₂) : l₁.reverse <+ l₂.reverse :=
begin
induction h with _ _ _ _ ih _ _ a _ ih, {refl},
{ rw reverse_cons, exact sublist_append_of_sublist_left ih },
{ rw [reverse_cons, reverse_cons], exact ih.append_right [a] }
end
@[simp] theorem reverse_sublist_iff {l₁ l₂ : list α} : l₁.reverse <+ l₂.reverse ↔ l₁ <+ l₂ :=
⟨λ h, l₁.reverse_reverse ▸ l₂.reverse_reverse ▸ h.reverse, sublist.reverse⟩
@[simp] theorem append_sublist_append_right {l₁ l₂ : list α} (l) : l₁++l <+ l₂++l ↔ l₁ <+ l₂ :=
⟨λ h, by simpa only [reverse_append, append_sublist_append_left, reverse_sublist_iff]
using h.reverse,
λ h, h.append_right l⟩
theorem sublist.append {l₁ l₂ r₁ r₂ : list α}
(hl : l₁ <+ l₂) (hr : r₁ <+ r₂) : l₁ ++ r₁ <+ l₂ ++ r₂ :=
(hl.append_right _).trans ((append_sublist_append_left _).2 hr)
theorem sublist.subset : Π {l₁ l₂ : list α}, l₁ <+ l₂ → l₁ ⊆ l₂
| ._ ._ sublist.slnil b h := h
| ._ ._ (sublist.cons l₁ l₂ a s) b h := mem_cons_of_mem _ (sublist.subset s h)
| ._ ._ (sublist.cons2 l₁ l₂ a s) b h :=
match eq_or_mem_of_mem_cons h with
| or.inl h := h ▸ mem_cons_self _ _
| or.inr h := mem_cons_of_mem _ (sublist.subset s h)
end
theorem singleton_sublist {a : α} {l} : [a] <+ l ↔ a ∈ l :=
⟨λ h, h.subset (mem_singleton_self _), λ h,
let ⟨s, t, e⟩ := mem_split h in e.symm ▸
(cons_sublist_cons _ (nil_sublist _)).trans (sublist_append_right _ _)⟩
theorem eq_nil_of_sublist_nil {l : list α} (s : l <+ []) : l = [] :=
eq_nil_of_subset_nil $ s.subset
theorem repeat_sublist_repeat (a : α) {m n} : repeat a m <+ repeat a n ↔ m ≤ n :=
⟨λ h, by simpa only [length_repeat] using length_le_of_sublist h,
λ h, by induction h; [refl, simp only [*, repeat_succ, sublist.cons]] ⟩
theorem eq_of_sublist_of_length_eq : ∀ {l₁ l₂ : list α}, l₁ <+ l₂ → length l₁ = length l₂ → l₁ = l₂
| ._ ._ sublist.slnil h := rfl
| ._ ._ (sublist.cons l₁ l₂ a s) h :=
absurd (length_le_of_sublist s) $ not_le_of_gt $ by rw h; apply lt_succ_self
| ._ ._ (sublist.cons2 l₁ l₂ a s) h :=
by rw [length, length] at h; injection h with h; rw eq_of_sublist_of_length_eq s h
theorem eq_of_sublist_of_length_le {l₁ l₂ : list α} (s : l₁ <+ l₂) (h : length l₂ ≤ length l₁) :
l₁ = l₂ :=
eq_of_sublist_of_length_eq s (le_antisymm (length_le_of_sublist s) h)
theorem sublist.antisymm {l₁ l₂ : list α} (s₁ : l₁ <+ l₂) (s₂ : l₂ <+ l₁) : l₁ = l₂ :=
eq_of_sublist_of_length_le s₁ (length_le_of_sublist s₂)
instance decidable_sublist [decidable_eq α] : ∀ (l₁ l₂ : list α), decidable (l₁ <+ l₂)
| [] l₂ := is_true $ nil_sublist _
| (a::l₁) [] := is_false $ λh, list.no_confusion $ eq_nil_of_sublist_nil h
| (a::l₁) (b::l₂) :=
if h : a = b then
decidable_of_decidable_of_iff (decidable_sublist l₁ l₂) $
by rw [← h]; exact ⟨cons_sublist_cons _, sublist_of_cons_sublist_cons⟩
else decidable_of_decidable_of_iff (decidable_sublist (a::l₁) l₂)
⟨sublist_cons_of_sublist _, λs, match a, l₁, s, h with
| a, l₁, sublist.cons ._ ._ ._ s', h := s'
| ._, ._, sublist.cons2 t ._ ._ s', h := absurd rfl h
end⟩
/-! ### index_of -/
section index_of
variable [decidable_eq α]
@[simp] theorem index_of_nil (a : α) : index_of a [] = 0 := rfl
theorem index_of_cons (a b : α) (l : list α) :
index_of a (b::l) = if a = b then 0 else succ (index_of a l) := rfl
theorem index_of_cons_eq {a b : α} (l : list α) : a = b → index_of a (b::l) = 0 :=
assume e, if_pos e
@[simp] theorem index_of_cons_self (a : α) (l : list α) : index_of a (a::l) = 0 :=
index_of_cons_eq _ rfl
@[simp, priority 990]
theorem index_of_cons_ne {a b : α} (l : list α) : a ≠ b → index_of a (b::l) = succ (index_of a l) :=
assume n, if_neg n
theorem index_of_eq_length {a : α} {l : list α} : index_of a l = length l ↔ a ∉ l :=
begin
induction l with b l ih,
{ exact iff_of_true rfl (not_mem_nil _) },
simp only [length, mem_cons_iff, index_of_cons], split_ifs,
{ exact iff_of_false (by rintro ⟨⟩) (λ H, H $ or.inl h) },
{ simp only [h, false_or], rw ← ih, exact succ_inj' }
end
@[simp, priority 980]
theorem index_of_of_not_mem {l : list α} {a : α} : a ∉ l → index_of a l = length l :=
index_of_eq_length.2
theorem index_of_le_length {a : α} {l : list α} : index_of a l ≤ length l :=
begin
induction l with b l ih, {refl},
simp only [length, index_of_cons],
by_cases h : a = b, {rw if_pos h, exact nat.zero_le _},
rw if_neg h, exact succ_le_succ ih
end
theorem index_of_lt_length {a} {l : list α} : index_of a l < length l ↔ a ∈ l :=
⟨λh, by_contradiction $ λ al, ne_of_lt h $ index_of_eq_length.2 al,
λal, lt_of_le_of_ne index_of_le_length $ λ h, index_of_eq_length.1 h al⟩
end index_of
/-! ### nth element -/
theorem nth_le_of_mem : ∀ {a} {l : list α}, a ∈ l → ∃ n h, nth_le l n h = a
| a (_ :: l) (or.inl rfl) := ⟨0, succ_pos _, rfl⟩
| a (b :: l) (or.inr m) :=
let ⟨n, h, e⟩ := nth_le_of_mem m in ⟨n+1, succ_lt_succ h, e⟩
theorem nth_le_nth : ∀ {l : list α} {n} h, nth l n = some (nth_le l n h)
| (a :: l) 0 h := rfl
| (a :: l) (n+1) h := @nth_le_nth l n _
theorem nth_len_le : ∀ {l : list α} {n}, length l ≤ n → nth l n = none
| [] n h := rfl
| (a :: l) (n+1) h := nth_len_le (le_of_succ_le_succ h)
theorem nth_eq_some {l : list α} {n a} : nth l n = some a ↔ ∃ h, nth_le l n h = a :=
⟨λ e,
have h : n < length l, from lt_of_not_ge $ λ hn,
by rw nth_len_le hn at e; contradiction,
⟨h, by rw nth_le_nth h at e;
injection e with e; apply nth_le_mem⟩,
λ ⟨h, e⟩, e ▸ nth_le_nth _⟩
theorem nth_of_mem {a} {l : list α} (h : a ∈ l) : ∃ n, nth l n = some a :=
let ⟨n, h, e⟩ := nth_le_of_mem h in ⟨n, by rw [nth_le_nth, e]⟩
theorem nth_le_mem : ∀ (l : list α) n h, nth_le l n h ∈ l
| (a :: l) 0 h := mem_cons_self _ _
| (a :: l) (n+1) h := mem_cons_of_mem _ (nth_le_mem l _ _)
theorem nth_mem {l : list α} {n a} (e : nth l n = some a) : a ∈ l :=
let ⟨h, e⟩ := nth_eq_some.1 e in e ▸ nth_le_mem _ _ _
theorem mem_iff_nth_le {a} {l : list α} : a ∈ l ↔ ∃ n h, nth_le l n h = a :=
⟨nth_le_of_mem, λ ⟨n, h, e⟩, e ▸ nth_le_mem _ _ _⟩
theorem mem_iff_nth {a} {l : list α} : a ∈ l ↔ ∃ n, nth l n = some a :=
mem_iff_nth_le.trans $ exists_congr $ λ n, nth_eq_some.symm
@[simp] theorem nth_map (f : α → β) : ∀ l n, nth (map f l) n = (nth l n).map f
| [] n := rfl
| (a :: l) 0 := rfl
| (a :: l) (n+1) := nth_map l n
theorem nth_le_map (f : α → β) {l n} (H1 H2) : nth_le (map f l) n H1 = f (nth_le l n H2) :=
option.some.inj $ by rw [← nth_le_nth, nth_map, nth_le_nth]; refl
/-- A version of `nth_le_map` that can be used for rewriting. -/
theorem nth_le_map_rev (f : α → β) {l n} (H) :
f (nth_le l n H) = nth_le (map f l) n ((length_map f l).symm ▸ H) :=
(nth_le_map f _ _).symm
@[simp] theorem nth_le_map' (f : α → β) {l n} (H) :
nth_le (map f l) n H = f (nth_le l n (length_map f l ▸ H)) :=
nth_le_map f _ _
/-- If one has `nth_le L i hi` in a formula and `h : L = L'`, one can not `rw h` in the formula as
`hi` gives `i < L.length` and not `i < L'.length`. The lemma `nth_le_of_eq` can be used to make
such a rewrite, with `rw (nth_le_of_eq h)`. -/
lemma nth_le_of_eq {L L' : list α} (h : L = L') {i : ℕ} (hi : i < L.length) :
nth_le L i hi = nth_le L' i (h ▸ hi) :=
by { congr, exact h}
@[simp] lemma nth_le_singleton (a : α) {n : ℕ} (hn : n < 1) :
nth_le [a] n hn = a :=
have hn0 : n = 0 := le_zero_iff.1 (le_of_lt_succ hn),
by subst hn0; refl
lemma nth_le_zero [inhabited α] {L : list α} (h : 0 < L.length) :
L.nth_le 0 h = L.head :=
by { cases L, cases h, simp, }
lemma nth_le_append : ∀ {l₁ l₂ : list α} {n : ℕ} (hn₁) (hn₂),
(l₁ ++ l₂).nth_le n hn₁ = l₁.nth_le n hn₂
| [] _ n hn₁ hn₂ := (not_lt_zero _ hn₂).elim
| (a::l) _ 0 hn₁ hn₂ := rfl
| (a::l) _ (n+1) hn₁ hn₂ := by simp only [nth_le, cons_append];
exact nth_le_append _ _
lemma nth_le_append_right_aux {l₁ l₂ : list α} {n : ℕ}
(h₁ : l₁.length ≤ n) (h₂ : n < (l₁ ++ l₂).length) : n - l₁.length < l₂.length :=
begin
rw list.length_append at h₂,
convert (nat.sub_lt_sub_right_iff h₁).mpr h₂,
simp,
end
lemma nth_le_append_right : ∀ {l₁ l₂ : list α} {n : ℕ} (h₁ : l₁.length ≤ n) (h₂),
(l₁ ++ l₂).nth_le n h₂ = l₂.nth_le (n - l₁.length) (nth_le_append_right_aux h₁ h₂)
| [] _ n h₁ h₂ := rfl
| (a :: l) _ (n+1) h₁ h₂ :=
begin
dsimp,
conv { to_rhs, congr, skip, rw [←nat.sub_sub, nat.sub.right_comm, nat.add_sub_cancel], },
rw nth_le_append_right (nat.lt_succ_iff.mp h₁),
end
@[simp] lemma nth_le_repeat (a : α) {n m : ℕ} (h : m < (list.repeat a n).length) :
(list.repeat a n).nth_le m h = a :=
eq_of_mem_repeat (nth_le_mem _ _ _)
lemma nth_append {l₁ l₂ : list α} {n : ℕ} (hn : n < l₁.length) :
(l₁ ++ l₂).nth n = l₁.nth n :=
have hn' : n < (l₁ ++ l₂).length := lt_of_lt_of_le hn
(by rw length_append; exact le_add_right _ _),
by rw [nth_le_nth hn, nth_le_nth hn', nth_le_append]
lemma last_eq_nth_le : ∀ (l : list α) (h : l ≠ []),
last l h = l.nth_le (l.length - 1) (sub_lt (length_pos_of_ne_nil h) one_pos)
| [] h := rfl
| [a] h := by rw [last_singleton, nth_le_singleton]
| (a :: b :: l) h := by { rw [last_cons, last_eq_nth_le (b :: l)],
refl, exact cons_ne_nil b l }
@[simp] lemma nth_concat_length : ∀ (l : list α) (a : α), (l ++ [a]).nth l.length = some a
| [] a := rfl
| (b::l) a := by rw [cons_append, length_cons, nth, nth_concat_length]
@[ext]
theorem ext : ∀ {l₁ l₂ : list α}, (∀n, nth l₁ n = nth l₂ n) → l₁ = l₂
| [] [] h := rfl
| (a::l₁) [] h := by have h0 := h 0; contradiction
| [] (a'::l₂) h := by have h0 := h 0; contradiction
| (a::l₁) (a'::l₂) h := by have h0 : some a = some a' := h 0; injection h0 with aa;
simp only [aa, ext (λn, h (n+1))]; split; refl
theorem ext_le {l₁ l₂ : list α} (hl : length l₁ = length l₂)
(h : ∀n h₁ h₂, nth_le l₁ n h₁ = nth_le l₂ n h₂) : l₁ = l₂ :=
ext $ λn, if h₁ : n < length l₁
then by rw [nth_le_nth, nth_le_nth, h n h₁ (by rwa [← hl])]
else let h₁ := le_of_not_gt h₁ in by { rw [nth_len_le h₁, nth_len_le], rwa [←hl], }
@[simp] theorem index_of_nth_le [decidable_eq α] {a : α} :
∀ {l : list α} h, nth_le l (index_of a l) h = a
| (b::l) h := by by_cases h' : a = b;
simp only [h', if_pos, if_false, index_of_cons, nth_le, @index_of_nth_le l]
@[simp] theorem index_of_nth [decidable_eq α] {a : α} {l : list α} (h : a ∈ l) :
nth l (index_of a l) = some a :=
by rw [nth_le_nth, index_of_nth_le (index_of_lt_length.2 h)]
theorem nth_le_reverse_aux1 :
∀ (l r : list α) (i h1 h2), nth_le (reverse_core l r) (i + length l) h1 = nth_le r i h2
| [] r i := λh1 h2, rfl
| (a :: l) r i :=
by rw (show i + length (a :: l) = i + 1 + length l, from add_right_comm i (length l) 1);
exact λh1 h2, nth_le_reverse_aux1 l (a :: r) (i+1) h1 (succ_lt_succ h2)
lemma index_of_inj [decidable_eq α] {l : list α} {x y : α}
(hx : x ∈ l) (hy : y ∈ l) : index_of x l = index_of y l ↔ x = y :=
⟨λ h, have nth_le l (index_of x l) (index_of_lt_length.2 hx) =
nth_le l (index_of y l) (index_of_lt_length.2 hy),
by simp only [h],
by simpa only [index_of_nth_le],
λ h, by subst h⟩
theorem nth_le_reverse_aux2 : ∀ (l r : list α) (i : nat) (h1) (h2),
nth_le (reverse_core l r) (length l - 1 - i) h1 = nth_le l i h2
| [] r i h1 h2 := absurd h2 (not_lt_zero _)
| (a :: l) r 0 h1 h2 := begin
have aux := nth_le_reverse_aux1 l (a :: r) 0,
rw zero_add at aux,
exact aux _ (zero_lt_succ _)
end
| (a :: l) r (i+1) h1 h2 := begin
have aux := nth_le_reverse_aux2 l (a :: r) i,
have heq := calc length (a :: l) - 1 - (i + 1)
= length l - (1 + i) : by rw add_comm; refl
... = length l - 1 - i : by rw nat.sub_sub,
rw [← heq] at aux,
apply aux
end
@[simp] theorem nth_le_reverse (l : list α) (i : nat) (h1 h2) :
nth_le (reverse l) (length l - 1 - i) h1 = nth_le l i h2 :=
nth_le_reverse_aux2 _ _ _ _ _
lemma eq_cons_of_length_one {l : list α} (h : l.length = 1) :
l = [l.nth_le 0 (h.symm ▸ zero_lt_one)] :=
begin
refine ext_le (by convert h) (λ n h₁ h₂, _),
simp only [nth_le_singleton],
congr,
exact eq_bot_iff.mpr (nat.lt_succ_iff.mp h₂)
end
lemma modify_nth_tail_modify_nth_tail {f g : list α → list α} (m : ℕ) :
∀n (l:list α), (l.modify_nth_tail f n).modify_nth_tail g (m + n) =
l.modify_nth_tail (λl, (f l).modify_nth_tail g m) n
| 0 l := rfl
| (n+1) [] := rfl
| (n+1) (a::l) := congr_arg (list.cons a) (modify_nth_tail_modify_nth_tail n l)
lemma modify_nth_tail_modify_nth_tail_le
{f g : list α → list α} (m n : ℕ) (l : list α) (h : n ≤ m) :
(l.modify_nth_tail f n).modify_nth_tail g m =
l.modify_nth_tail (λl, (f l).modify_nth_tail g (m - n)) n :=
begin
rcases le_iff_exists_add.1 h with ⟨m, rfl⟩,
rw [nat.add_sub_cancel_left, add_comm, modify_nth_tail_modify_nth_tail]
end
lemma modify_nth_tail_modify_nth_tail_same {f g : list α → list α} (n : ℕ) (l:list α) :
(l.modify_nth_tail f n).modify_nth_tail g n = l.modify_nth_tail (g ∘ f) n :=
by rw [modify_nth_tail_modify_nth_tail_le n n l (le_refl n), nat.sub_self]; refl
lemma modify_nth_tail_id :
∀n (l:list α), l.modify_nth_tail id n = l
| 0 l := rfl
| (n+1) [] := rfl
| (n+1) (a::l) := congr_arg (list.cons a) (modify_nth_tail_id n l)
theorem remove_nth_eq_nth_tail : ∀ n (l : list α), remove_nth l n = modify_nth_tail tail n l
| 0 l := by cases l; refl
| (n+1) [] := rfl
| (n+1) (a::l) := congr_arg (cons _) (remove_nth_eq_nth_tail _ _)
theorem update_nth_eq_modify_nth (a : α) : ∀ n (l : list α),
update_nth l n a = modify_nth (λ _, a) n l
| 0 l := by cases l; refl
| (n+1) [] := rfl
| (n+1) (b::l) := congr_arg (cons _) (update_nth_eq_modify_nth _ _)
theorem modify_nth_eq_update_nth (f : α → α) : ∀ n (l : list α),
modify_nth f n l = ((λ a, update_nth l n (f a)) <$> nth l n).get_or_else l
| 0 l := by cases l; refl
| (n+1) [] := rfl
| (n+1) (b::l) := (congr_arg (cons b)
(modify_nth_eq_update_nth n l)).trans $ by cases nth l n; refl
theorem nth_modify_nth (f : α → α) : ∀ n (l : list α) m,
nth (modify_nth f n l) m = (λ a, if n = m then f a else a) <$> nth l m
| n l 0 := by cases l; cases n; refl
| n [] (m+1) := by cases n; refl
| 0 (a::l) (m+1) := by cases nth l m; refl
| (n+1) (a::l) (m+1) := (nth_modify_nth n l m).trans $
by cases nth l m with b; by_cases n = m;
simp only [h, if_pos, if_true, if_false, option.map_none, option.map_some, mt succ.inj,
not_false_iff]
theorem modify_nth_tail_length (f : list α → list α) (H : ∀ l, length (f l) = length l) :
∀ n l, length (modify_nth_tail f n l) = length l
| 0 l := H _
| (n+1) [] := rfl
| (n+1) (a::l) := @congr_arg _ _ _ _ (+1) (modify_nth_tail_length _ _)
@[simp] theorem modify_nth_length (f : α → α) :
∀ n l, length (modify_nth f n l) = length l :=
modify_nth_tail_length _ (λ l, by cases l; refl)
@[simp] theorem update_nth_length (l : list α) (n) (a : α) :
length (update_nth l n a) = length l :=
by simp only [update_nth_eq_modify_nth, modify_nth_length]
@[simp] theorem nth_modify_nth_eq (f : α → α) (n) (l : list α) :
nth (modify_nth f n l) n = f <$> nth l n :=
by simp only [nth_modify_nth, if_pos]
@[simp] theorem nth_modify_nth_ne (f : α → α) {m n} (l : list α) (h : m ≠ n) :
nth (modify_nth f m l) n = nth l n :=
by simp only [nth_modify_nth, if_neg h, id_map']
theorem nth_update_nth_eq (a : α) (n) (l : list α) :
nth (update_nth l n a) n = (λ _, a) <$> nth l n :=
by simp only [update_nth_eq_modify_nth, nth_modify_nth_eq]
theorem nth_update_nth_of_lt (a : α) {n} {l : list α} (h : n < length l) :
nth (update_nth l n a) n = some a :=
by rw [nth_update_nth_eq, nth_le_nth h]; refl
theorem nth_update_nth_ne (a : α) {m n} (l : list α) (h : m ≠ n) :
nth (update_nth l m a) n = nth l n :=
by simp only [update_nth_eq_modify_nth, nth_modify_nth_ne _ _ h]
@[simp] lemma nth_le_update_nth_eq (l : list α) (i : ℕ) (a : α)
(h : i < (l.update_nth i a).length) : (l.update_nth i a).nth_le i h = a :=
by rw [← option.some_inj, ← nth_le_nth, nth_update_nth_eq, nth_le_nth]; simp * at *
@[simp] lemma nth_le_update_nth_of_ne {l : list α} {i j : ℕ} (h : i ≠ j) (a : α)
(hj : j < (l.update_nth i a).length) :
(l.update_nth i a).nth_le j hj = l.nth_le j (by simpa using hj) :=
by rw [← option.some_inj, ← list.nth_le_nth, list.nth_update_nth_ne _ _ h, list.nth_le_nth]
lemma mem_or_eq_of_mem_update_nth : ∀ {l : list α} {n : ℕ} {a b : α}
(h : a ∈ l.update_nth n b), a ∈ l ∨ a = b
| [] n a b h := false.elim h
| (c::l) 0 a b h := ((mem_cons_iff _ _ _).1 h).elim
or.inr (or.inl ∘ mem_cons_of_mem _)
| (c::l) (n+1) a b h := ((mem_cons_iff _ _ _).1 h).elim
(λ h, h ▸ or.inl (mem_cons_self _ _))
(λ h, (mem_or_eq_of_mem_update_nth h).elim
(or.inl ∘ mem_cons_of_mem _) or.inr)
section insert_nth
variable {a : α}
@[simp] lemma insert_nth_nil (a : α) : insert_nth 0 a [] = [a] := rfl
lemma length_insert_nth : ∀n as, n ≤ length as → length (insert_nth n a as) = length as + 1
| 0 as h := rfl
| (n+1) [] h := (nat.not_succ_le_zero _ h).elim
| (n+1) (a'::as) h := congr_arg nat.succ $ length_insert_nth n as (nat.le_of_succ_le_succ h)
lemma remove_nth_insert_nth (n:ℕ) (l : list α) : (l.insert_nth n a).remove_nth n = l :=
by rw [remove_nth_eq_nth_tail, insert_nth, modify_nth_tail_modify_nth_tail_same];
from modify_nth_tail_id _ _
lemma insert_nth_remove_nth_of_ge : ∀n m as, n < length as → n ≤ m →
insert_nth m a (as.remove_nth n) = (as.insert_nth (m + 1) a).remove_nth n
| 0 0 [] has _ := (lt_irrefl _ has).elim
| 0 0 (a::as) has hmn := by simp [remove_nth, insert_nth]
| 0 (m+1) (a::as) has hmn := rfl
| (n+1) (m+1) (a::as) has hmn :=
congr_arg (cons a) $
insert_nth_remove_nth_of_ge n m as (nat.lt_of_succ_lt_succ has) (nat.le_of_succ_le_succ hmn)
lemma insert_nth_remove_nth_of_le : ∀n m as, n < length as → m ≤ n →
insert_nth m a (as.remove_nth n) = (as.insert_nth m a).remove_nth (n + 1)
| n 0 (a :: as) has hmn := rfl
| (n + 1) (m + 1) (a :: as) has hmn :=
congr_arg (cons a) $
insert_nth_remove_nth_of_le n m as (nat.lt_of_succ_lt_succ has) (nat.le_of_succ_le_succ hmn)
lemma insert_nth_comm (a b : α) :
∀(i j : ℕ) (l : list α) (h : i ≤ j) (hj : j ≤ length l),
(l.insert_nth i a).insert_nth (j + 1) b = (l.insert_nth j b).insert_nth i a
| 0 j l := by simp [insert_nth]
| (i + 1) 0 l := assume h, (nat.not_lt_zero _ h).elim
| (i + 1) (j+1) [] := by simp
| (i + 1) (j+1) (c::l) :=
assume h₀ h₁,
by simp [insert_nth];
exact insert_nth_comm i j l (nat.le_of_succ_le_succ h₀) (nat.le_of_succ_le_succ h₁)
lemma mem_insert_nth {a b : α} : ∀ {n : ℕ} {l : list α} (hi : n ≤ l.length),
a ∈ l.insert_nth n b ↔ a = b ∨ a ∈ l
| 0 as h := iff.rfl
| (n+1) [] h := (nat.not_succ_le_zero _ h).elim
| (n+1) (a'::as) h := begin
dsimp [list.insert_nth],
erw [list.mem_cons_iff, mem_insert_nth (nat.le_of_succ_le_succ h), list.mem_cons_iff,
← or.assoc, or_comm (a = a'), or.assoc]
end
end insert_nth
/-! ### map -/
@[simp] lemma map_nil (f : α → β) : map f [] = [] := rfl
theorem map_eq_foldr (f : α → β) (l : list α) :
map f l = foldr (λ a bs, f a :: bs) [] l :=
by induction l; simp *
lemma map_congr {f g : α → β} : ∀ {l : list α}, (∀ x ∈ l, f x = g x) → map f l = map g l
| [] _ := rfl
| (a::l) h := let ⟨h₁, h₂⟩ := forall_mem_cons.1 h in
by rw [map, map, h₁, map_congr h₂]
lemma map_eq_map_iff {f g : α → β} {l : list α} : map f l = map g l ↔ (∀ x ∈ l, f x = g x) :=
begin
refine ⟨_, map_congr⟩, intros h x hx,
rw [mem_iff_nth_le] at hx, rcases hx with ⟨n, hn, rfl⟩,
rw [nth_le_map_rev f, nth_le_map_rev g], congr, exact h
end
theorem map_concat (f : α → β) (a : α) (l : list α) : map f (concat l a) = concat (map f l) (f a) :=
by induction l; [refl, simp only [*, concat_eq_append, cons_append, map, map_append]]; split; refl
theorem map_id' {f : α → α} (h : ∀ x, f x = x) (l : list α) : map f l = l :=
by induction l; [refl, simp only [*, map]]; split; refl
theorem eq_nil_of_map_eq_nil {f : α → β} {l : list α} (h : map f l = nil) : l = nil :=
eq_nil_of_length_eq_zero $ by rw [← length_map f l, h]; refl
@[simp] theorem map_join (f : α → β) (L : list (list α)) :
map f (join L) = join (map (map f) L) :=
by induction L; [refl, simp only [*, join, map, map_append]]
theorem bind_ret_eq_map (f : α → β) (l : list α) :
l.bind (list.ret ∘ f) = map f l :=
by unfold list.bind; induction l; simp only [map, join, list.ret, cons_append, nil_append, *];
split; refl
@[simp] theorem map_eq_map {α β} (f : α → β) (l : list α) : f <$> l = map f l := rfl
@[simp] theorem map_tail (f : α → β) (l) : map f (tail l) = tail (map f l) :=
by cases l; refl
@[simp] theorem map_injective_iff {f : α → β} : injective (map f) ↔ injective f :=
begin
split; intros h x y hxy,
{ suffices : [x] = [y], { simpa using this }, apply h, simp [hxy] },
{ induction y generalizing x, simpa using hxy,
cases x, simpa using hxy, simp at hxy, simp [y_ih hxy.2, h hxy.1] }
end
theorem map_filter_eq_foldr (f : α → β) (p : α → Prop) [decidable_pred p] (as : list α) :
map f (filter p as) = foldr (λ a bs, if p a then f a :: bs else bs) [] as :=
by { induction as, { refl }, { simp! [*, apply_ite (map f)] } }
/-! ### map₂ -/
theorem nil_map₂ (f : α → β → γ) (l : list β) : map₂ f [] l = [] :=
by cases l; refl
theorem map₂_nil (f : α → β → γ) (l : list α) : map₂ f l [] = [] :=
by cases l; refl
/-! ### take, drop -/
@[simp] theorem take_zero (l : list α) : take 0 l = [] := rfl
@[simp] theorem take_nil : ∀ n, take n [] = ([] : list α)
| 0 := rfl
| (n+1) := rfl
theorem take_cons (n) (a : α) (l : list α) : take (succ n) (a::l) = a :: take n l := rfl
@[simp] theorem take_length : ∀ (l : list α), take (length l) l = l
| [] := rfl
| (a::l) := begin change a :: (take (length l) l) = a :: l, rw take_length end
theorem take_all_of_le : ∀ {n} {l : list α}, length l ≤ n → take n l = l
| 0 [] h := rfl
| 0 (a::l) h := absurd h (not_le_of_gt (zero_lt_succ _))
| (n+1) [] h := rfl
| (n+1) (a::l) h :=
begin
change a :: take n l = a :: l,
rw [take_all_of_le (le_of_succ_le_succ h)]
end
@[simp] theorem take_left : ∀ l₁ l₂ : list α, take (length l₁) (l₁ ++ l₂) = l₁
| [] l₂ := rfl
| (a::l₁) l₂ := congr_arg (cons a) (take_left l₁ l₂)
theorem take_left' {l₁ l₂ : list α} {n} (h : length l₁ = n) :
take n (l₁ ++ l₂) = l₁ :=
by rw ← h; apply take_left
theorem take_take : ∀ (n m) (l : list α), take n (take m l) = take (min n m) l
| n 0 l := by rw [min_zero, take_zero, take_nil]
| 0 m l := by rw [zero_min, take_zero, take_zero]
| (succ n) (succ m) nil := by simp only [take_nil]
| (succ n) (succ m) (a::l) := by simp only [take, min_succ_succ, take_take n m l]; split; refl
theorem take_repeat (a : α) : ∀ (n m : ℕ), take n (repeat a m) = repeat a (min n m)
| n 0 := by simp
| 0 m := by simp
| (succ n) (succ m) := by simp [min_succ_succ, take_repeat]
lemma map_take {α β : Type*} (f : α → β) :
∀ (L : list α) (i : ℕ), (L.take i).map f = (L.map f).take i
| [] i := by simp
| L 0 := by simp
| (h :: t) (n+1) := by { dsimp, rw [map_take], }
lemma take_append_of_le_length : ∀ {l₁ l₂ : list α} {n : ℕ},
n ≤ l₁.length → (l₁ ++ l₂).take n = l₁.take n
| l₁ l₂ 0 hn := by simp
| [] l₂ (n+1) hn := absurd hn dec_trivial
| (a::l₁) l₂ (n+1) hn :=
by rw [list.take, list.cons_append, list.take, take_append_of_le_length (le_of_succ_le_succ hn)]
/-- Taking the first `l₁.length + i` elements in `l₁ ++ l₂` is the same as appending the first
`i` elements of `l₂` to `l₁`. -/
lemma take_append {l₁ l₂ : list α} (i : ℕ) :
take (l₁.length + i) (l₁ ++ l₂) = l₁ ++ (take i l₂) :=
begin
induction l₁, { simp },
have : length l₁_tl + 1 + i = (length l₁_tl + i).succ,
by { rw nat.succ_eq_add_one, exact succ_add _ _ },
simp only [cons_append, length, this, take_cons, l₁_ih, eq_self_iff_true, and_self]
end
/-- The `i`-th element of a list coincides with the `i`-th element of any of its prefixes of
length `> i`. Version designed to rewrite from the big list to the small list. -/
lemma nth_le_take (L : list α) {i j : ℕ} (hi : i < L.length) (hj : i < j) :
nth_le L i hi = nth_le (L.take j) i (by { rw length_take, exact lt_min hj hi }) :=
by { rw nth_le_of_eq (take_append_drop j L).symm hi, exact nth_le_append _ _ }
/-- The `i`-th element of a list coincides with the `i`-th element of any of its prefixes of
length `> i`. Version designed to rewrite from the small list to the big list. -/
lemma nth_le_take' (L : list α) {i j : ℕ} (hi : i < (L.take j).length) :
nth_le (L.take j) i hi = nth_le L i (lt_of_lt_of_le hi (by simp [le_refl])) :=
by { simp at hi, rw nth_le_take L _ hi.1 }
@[simp] theorem drop_nil : ∀ n, drop n [] = ([] : list α)
| 0 := rfl
| (n+1) := rfl
@[simp] theorem drop_one : ∀ l : list α, drop 1 l = tail l
| [] := rfl
| (a :: l) := rfl
theorem drop_add : ∀ m n (l : list α), drop (m + n) l = drop m (drop n l)
| m 0 l := rfl
| m (n+1) [] := (drop_nil _).symm
| m (n+1) (a::l) := drop_add m n _
@[simp] theorem drop_left : ∀ l₁ l₂ : list α, drop (length l₁) (l₁ ++ l₂) = l₂
| [] l₂ := rfl
| (a::l₁) l₂ := drop_left l₁ l₂
theorem drop_left' {l₁ l₂ : list α} {n} (h : length l₁ = n) :
drop n (l₁ ++ l₂) = l₂ :=
by rw ← h; apply drop_left
theorem drop_eq_nth_le_cons : ∀ {n} {l : list α} h,
drop n l = nth_le l n h :: drop (n+1) l
| 0 (a::l) h := rfl
| (n+1) (a::l) h := @drop_eq_nth_le_cons n _ _
@[simp] lemma drop_length (l : list α) : l.drop l.length = [] :=
calc l.drop l.length = (l ++ []).drop l.length : by simp
... = [] : drop_left _ _
lemma drop_append_of_le_length : ∀ {l₁ l₂ : list α} {n : ℕ}, n ≤ l₁.length →
(l₁ ++ l₂).drop n = l₁.drop n ++ l₂
| l₁ l₂ 0 hn := by simp
| [] l₂ (n+1) hn := absurd hn dec_trivial
| (a::l₁) l₂ (n+1) hn :=
by rw [drop, cons_append, drop, drop_append_of_le_length (le_of_succ_le_succ hn)]
/-- Dropping the elements up to `l₁.length + i` in `l₁ + l₂` is the same as dropping the elements
up to `i` in `l₂`. -/
lemma drop_append {l₁ l₂ : list α} (i : ℕ) :
drop (l₁.length + i) (l₁ ++ l₂) = drop i l₂ :=
begin
induction l₁, { simp },
have : length l₁_tl + 1 + i = (length l₁_tl + i).succ,
by { rw nat.succ_eq_add_one, exact succ_add _ _ },
simp only [cons_append, length, this, drop, l₁_ih]
end
/-- The `i + j`-th element of a list coincides with the `j`-th element of the list obtained by
dropping the first `i` elements. Version designed to rewrite from the big list to the small list. -/
lemma nth_le_drop (L : list α) {i j : ℕ} (h : i + j < L.length) :
nth_le L (i + j) h = nth_le (L.drop i) j
begin
have A : i < L.length := lt_of_le_of_lt (nat.le.intro rfl) h,
rw (take_append_drop i L).symm at h,
simpa only [le_of_lt A, min_eq_left, add_lt_add_iff_left, length_take, length_append] using h
end :=
begin
have A : length (take i L) = i, by simp [le_of_lt (lt_of_le_of_lt (nat.le.intro rfl) h)],
rw [nth_le_of_eq (take_append_drop i L).symm h, nth_le_append_right];
simp [A]
end
/-- The `i + j`-th element of a list coincides with the `j`-th element of the list obtained by
dropping the first `i` elements. Version designed to rewrite from the small list to the big list. -/
lemma nth_le_drop' (L : list α) {i j : ℕ} (h : j < (L.drop i).length) :
nth_le (L.drop i) j h = nth_le L (i + j) (nat.add_lt_of_lt_sub_left ((length_drop i L) ▸ h)) :=
by rw nth_le_drop
@[simp] theorem drop_drop (n : ℕ) : ∀ (m) (l : list α), drop n (drop m l) = drop (n + m) l
| m [] := by simp
| 0 l := by simp
| (m+1) (a::l) :=
calc drop n (drop (m + 1) (a :: l)) = drop n (drop m l) : rfl
... = drop (n + m) l : drop_drop m l
... = drop (n + (m + 1)) (a :: l) : rfl
theorem drop_take : ∀ (m : ℕ) (n : ℕ) (l : list α),
drop m (take (m + n) l) = take n (drop m l)
| 0 n _ := by simp
| (m+1) n nil := by simp
| (m+1) n (_::l) :=
have h: m + 1 + n = (m+n) + 1, by ac_refl,
by simpa [take_cons, h] using drop_take m n l
lemma map_drop {α β : Type*} (f : α → β) :
∀ (L : list α) (i : ℕ), (L.drop i).map f = (L.map f).drop i
| [] i := by simp
| L 0 := by simp
| (h :: t) (n+1) := by { dsimp, rw [map_drop], }
theorem modify_nth_tail_eq_take_drop (f : list α → list α) (H : f [] = []) :
∀ n l, modify_nth_tail f n l = take n l ++ f (drop n l)
| 0 l := rfl
| (n+1) [] := H.symm
| (n+1) (b::l) := congr_arg (cons b) (modify_nth_tail_eq_take_drop n l)
theorem modify_nth_eq_take_drop (f : α → α) :
∀ n l, modify_nth f n l = take n l ++ modify_head f (drop n l) :=
modify_nth_tail_eq_take_drop _ rfl
theorem modify_nth_eq_take_cons_drop (f : α → α) {n l} (h) :
modify_nth f n l = take n l ++ f (nth_le l n h) :: drop (n+1) l :=
by rw [modify_nth_eq_take_drop, drop_eq_nth_le_cons h]; refl
theorem update_nth_eq_take_cons_drop (a : α) {n l} (h : n < length l) :
update_nth l n a = take n l ++ a :: drop (n+1) l :=
by rw [update_nth_eq_modify_nth, modify_nth_eq_take_cons_drop _ h]
@[simp] lemma update_nth_eq_nil (l : list α) (n : ℕ) (a : α) : l.update_nth n a = [] ↔ l = [] :=
by cases l; cases n; simp only [update_nth]
section take'
variable [inhabited α]
@[simp] theorem take'_length : ∀ n l, length (@take' α _ n l) = n
| 0 l := rfl
| (n+1) l := congr_arg succ (take'_length _ _)
@[simp] theorem take'_nil : ∀ n, take' n (@nil α) = repeat (default _) n
| 0 := rfl
| (n+1) := congr_arg (cons _) (take'_nil _)
theorem take'_eq_take : ∀ {n} {l : list α},
n ≤ length l → take' n l = take n l
| 0 l h := rfl
| (n+1) (a::l) h := congr_arg (cons _) $
take'_eq_take $ le_of_succ_le_succ h
@[simp] theorem take'_left (l₁ l₂ : list α) : take' (length l₁) (l₁ ++ l₂) = l₁ :=
(take'_eq_take (by simp only [length_append, nat.le_add_right])).trans (take_left _ _)
theorem take'_left' {l₁ l₂ : list α} {n} (h : length l₁ = n) :
take' n (l₁ ++ l₂) = l₁ :=
by rw ← h; apply take'_left
end take'
/-! ### foldl, foldr -/
lemma foldl_ext (f g : α → β → α) (a : α)
{l : list β} (H : ∀ a : α, ∀ b ∈ l, f a b = g a b) :
foldl f a l = foldl g a l :=
begin
induction l with hd tl ih generalizing a, {refl},
unfold foldl,
rw [ih (λ a b bin, H a b $ mem_cons_of_mem _ bin), H a hd (mem_cons_self _ _)]
end
lemma foldr_ext (f g : α → β → β) (b : β)
{l : list α} (H : ∀ a ∈ l, ∀ b : β, f a b = g a b) :
foldr f b l = foldr g b l :=
begin
induction l with hd tl ih, {refl},
simp only [mem_cons_iff, or_imp_distrib, forall_and_distrib, forall_eq] at H,
simp only [foldr, ih H.2, H.1]
end
@[simp] theorem foldl_nil (f : α → β → α) (a : α) : foldl f a [] = a := rfl
@[simp] theorem foldl_cons (f : α → β → α) (a : α) (b : β) (l : list β) :
foldl f a (b::l) = foldl f (f a b) l := rfl
@[simp] theorem foldr_nil (f : α → β → β) (b : β) : foldr f b [] = b := rfl
@[simp] theorem foldr_cons (f : α → β → β) (b : β) (a : α) (l : list α) :
foldr f b (a::l) = f a (foldr f b l) := rfl
@[simp] theorem foldl_append (f : α → β → α) :
∀ (a : α) (l₁ l₂ : list β), foldl f a (l₁++l₂) = foldl f (foldl f a l₁) l₂
| a [] l₂ := rfl
| a (b::l₁) l₂ := by simp only [cons_append, foldl_cons, foldl_append (f a b) l₁ l₂]
@[simp] theorem foldr_append (f : α → β → β) :
∀ (b : β) (l₁ l₂ : list α), foldr f b (l₁++l₂) = foldr f (foldr f b l₂) l₁
| b [] l₂ := rfl
| b (a::l₁) l₂ := by simp only [cons_append, foldr_cons, foldr_append b l₁ l₂]
@[simp] theorem foldl_join (f : α → β → α) :
∀ (a : α) (L : list (list β)), foldl f a (join L) = foldl (foldl f) a L
| a [] := rfl
| a (l::L) := by simp only [join, foldl_append, foldl_cons, foldl_join (foldl f a l) L]
@[simp] theorem foldr_join (f : α → β → β) :
∀ (b : β) (L : list (list α)), foldr f b (join L) = foldr (λ l b, foldr f b l) b L
| a [] := rfl
| a (l::L) := by simp only [join, foldr_append, foldr_join a L, foldr_cons]
theorem foldl_reverse (f : α → β → α) (a : α) (l : list β) :
foldl f a (reverse l) = foldr (λx y, f y x) a l :=
by induction l; [refl, simp only [*, reverse_cons, foldl_append, foldl_cons, foldl_nil, foldr]]
theorem foldr_reverse (f : α → β → β) (a : β) (l : list α) :
foldr f a (reverse l) = foldl (λx y, f y x) a l :=
let t := foldl_reverse (λx y, f y x) a (reverse l) in
by rw reverse_reverse l at t; rwa t
@[simp] theorem foldr_eta : ∀ (l : list α), foldr cons [] l = l
| [] := rfl
| (x::l) := by simp only [foldr_cons, foldr_eta l]; split; refl
@[simp] theorem reverse_foldl {l : list α} : reverse (foldl (λ t h, h :: t) [] l) = l :=
by rw ←foldr_reverse; simp
@[simp] theorem foldl_map (g : β → γ) (f : α → γ → α) (a : α) (l : list β) :
foldl f a (map g l) = foldl (λx y, f x (g y)) a l :=
by revert a; induction l; intros; [refl, simp only [*, map, foldl]]
@[simp] theorem foldr_map (g : β → γ) (f : γ → α → α) (a : α) (l : list β) :
foldr f a (map g l) = foldr (f ∘ g) a l :=
by revert a; induction l; intros; [refl, simp only [*, map, foldr]]
theorem foldl_map' {α β: Type u} (g : α → β) (f : α → α → α) (f' : β → β → β)
(a : α) (l : list α) (h : ∀ x y, f' (g x) (g y) = g (f x y)) :
list.foldl f' (g a) (l.map g) = g (list.foldl f a l) :=
begin
induction l generalizing a,
{ simp }, { simp [l_ih, h] }
end
theorem foldr_map' {α β: Type u} (g : α → β) (f : α → α → α) (f' : β → β → β)
(a : α) (l : list α) (h : ∀ x y, f' (g x) (g y) = g (f x y)) :
list.foldr f' (g a) (l.map g) = g (list.foldr f a l) :=
begin
induction l generalizing a,
{ simp }, { simp [l_ih, h] }
end
theorem foldl_hom (l : list γ) (f : α → β) (op : α → γ → α) (op' : β → γ → β) (a : α)
(h : ∀a x, f (op a x) = op' (f a) x) : foldl op' (f a) l = f (foldl op a l) :=
eq.symm $ by { revert a, induction l; intros; [refl, simp only [*, foldl]] }
theorem foldr_hom (l : list γ) (f : α → β) (op : γ → α → α) (op' : γ → β → β) (a : α)
(h : ∀x a, f (op x a) = op' x (f a)) : foldr op' (f a) l = f (foldr op a l) :=
by { revert a, induction l; intros; [refl, simp only [*, foldr]] }
lemma injective_foldl_comp {α : Type*} {l : list (α → α)} {f : α → α}
(hl : ∀ f ∈ l, function.injective f) (hf : function.injective f):
function.injective (@list.foldl (α → α) (α → α) function.comp f l) :=
begin
induction l generalizing f,
{ exact hf },
{ apply l_ih (λ _ h, hl _ (list.mem_cons_of_mem _ h)),
apply function.injective.comp hf,
apply hl _ (list.mem_cons_self _ _) }
end
/- scanl -/
lemma length_scanl {β : Type*} {f : α → β → α} :
∀ a l, length (scanl f a l) = l.length + 1
| a [] := rfl
| a (x :: l) := by erw [length_cons, length_cons, length_scanl]
/- scanr -/
@[simp] theorem scanr_nil (f : α → β → β) (b : β) : scanr f b [] = [b] := rfl
@[simp] theorem scanr_aux_cons (f : α → β → β) (b : β) : ∀ (a : α) (l : list α),
scanr_aux f b (a::l) = (foldr f b (a::l), scanr f b l)
| a [] := rfl
| a (x::l) := let t := scanr_aux_cons x l in
by simp only [scanr, scanr_aux, t, foldr_cons]
@[simp] theorem scanr_cons (f : α → β → β) (b : β) (a : α) (l : list α) :
scanr f b (a::l) = foldr f b (a::l) :: scanr f b l :=
by simp only [scanr, scanr_aux_cons, foldr_cons]; split; refl
section foldl_eq_foldr
-- foldl and foldr coincide when f is commutative and associative
variables {f : α → α → α} (hcomm : commutative f) (hassoc : associative f)
include hassoc
theorem foldl1_eq_foldr1 : ∀ a b l, foldl f a (l++[b]) = foldr f b (a::l)
| a b nil := rfl
| a b (c :: l) :=
by simp only [cons_append, foldl_cons, foldr_cons, foldl1_eq_foldr1 _ _ l]; rw hassoc
include hcomm
theorem foldl_eq_of_comm_of_assoc : ∀ a b l, foldl f a (b::l) = f b (foldl f a l)
| a b nil := hcomm a b
| a b (c::l) := by simp only [foldl_cons];
rw [← foldl_eq_of_comm_of_assoc, right_comm _ hcomm hassoc]; refl
theorem foldl_eq_foldr : ∀ a l, foldl f a l = foldr f a l
| a nil := rfl
| a (b :: l) :=
by simp only [foldr_cons, foldl_eq_of_comm_of_assoc hcomm hassoc]; rw (foldl_eq_foldr a l)
end foldl_eq_foldr
section foldl_eq_foldlr'
variables {f : α → β → α}
variables hf : ∀ a b c, f (f a b) c = f (f a c) b
include hf
theorem foldl_eq_of_comm' : ∀ a b l, foldl f a (b::l) = f (foldl f a l) b
| a b [] := rfl
| a b (c :: l) := by rw [foldl,foldl,foldl,← foldl_eq_of_comm',foldl,hf]
theorem foldl_eq_foldr' : ∀ a l, foldl f a l = foldr (flip f) a l
| a [] := rfl
| a (b :: l) := by rw [foldl_eq_of_comm' hf,foldr,foldl_eq_foldr']; refl
end foldl_eq_foldlr'
section foldl_eq_foldlr'
variables {f : α → β → β}
variables hf : ∀ a b c, f a (f b c) = f b (f a c)
include hf
theorem foldr_eq_of_comm' : ∀ a b l, foldr f a (b::l) = foldr f (f b a) l
| a b [] := rfl
| a b (c :: l) := by rw [foldr,foldr,foldr,hf,← foldr_eq_of_comm']; refl
end foldl_eq_foldlr'
section
variables {op : α → α → α} [ha : is_associative α op] [hc : is_commutative α op]
local notation a * b := op a b
local notation l <*> a := foldl op a l
include ha
lemma foldl_assoc : ∀ {l : list α} {a₁ a₂}, l <*> (a₁ * a₂) = a₁ * (l <*> a₂)
| [] a₁ a₂ := rfl
| (a :: l) a₁ a₂ :=
calc a::l <*> (a₁ * a₂) = l <*> (a₁ * (a₂ * a)) : by simp only [foldl_cons, ha.assoc]
... = a₁ * (a::l <*> a₂) : by rw [foldl_assoc, foldl_cons]
lemma foldl_op_eq_op_foldr_assoc : ∀{l : list α} {a₁ a₂}, (l <*> a₁) * a₂ = a₁ * l.foldr (*) a₂
| [] a₁ a₂ := rfl
| (a :: l) a₁ a₂ := by simp only [foldl_cons, foldr_cons, foldl_assoc, ha.assoc];
rw [foldl_op_eq_op_foldr_assoc]
include hc
lemma foldl_assoc_comm_cons {l : list α} {a₁ a₂} : (a₁ :: l) <*> a₂ = a₁ * (l <*> a₂) :=
by rw [foldl_cons, hc.comm, foldl_assoc]
end
/-! ### mfoldl, mfoldr -/
section mfoldl_mfoldr
variables {m : Type v → Type w} [monad m]
@[simp] theorem mfoldl_nil (f : β → α → m β) {b} : mfoldl f b [] = pure b := rfl
@[simp] theorem mfoldr_nil (f : α → β → m β) {b} : mfoldr f b [] = pure b := rfl
@[simp] theorem mfoldl_cons {f : β → α → m β} {b a l} :
mfoldl f b (a :: l) = f b a >>= λ b', mfoldl f b' l := rfl
@[simp] theorem mfoldr_cons {f : α → β → m β} {b a l} :
mfoldr f b (a :: l) = mfoldr f b l >>= f a := rfl
theorem mfoldr_eq_foldr (f : α → β → m β) (b l) :
mfoldr f b l = foldr (λ a mb, mb >>= f a) (pure b) l :=
by induction l; simp *
variables [is_lawful_monad m]
theorem mfoldl_eq_foldl (f : β → α → m β) (b l) :
mfoldl f b l = foldl (λ mb a, mb >>= λ b, f b a) (pure b) l :=
begin
suffices h : ∀ (mb : m β),
(mb >>= λ b, mfoldl f b l) = foldl (λ mb a, mb >>= λ b, f b a) mb l,
by simp [←h (pure b)],
induction l; intro,
{ simp },
{ simp only [mfoldl, foldl, ←l_ih] with monad_norm }
end
@[simp] theorem mfoldl_append {f : β → α → m β} : ∀ {b l₁ l₂},
mfoldl f b (l₁ ++ l₂) = mfoldl f b l₁ >>= λ x, mfoldl f x l₂
| _ [] _ := by simp only [nil_append, mfoldl_nil, pure_bind]
| _ (_::_) _ := by simp only [cons_append, mfoldl_cons, mfoldl_append, bind_assoc]
@[simp] theorem mfoldr_append {f : α → β → m β} : ∀ {b l₁ l₂},
mfoldr f b (l₁ ++ l₂) = mfoldr f b l₂ >>= λ x, mfoldr f x l₁
| _ [] _ := by simp only [nil_append, mfoldr_nil, bind_pure]
| _ (_::_) _ := by simp only [mfoldr_cons, cons_append, mfoldr_append, bind_assoc]
end mfoldl_mfoldr
/-! ### prod and sum -/
-- list.sum was already defined in defs.lean, but we couldn't tag it with `to_additive` yet.
attribute [to_additive] list.prod
section monoid
variables [monoid α] {l l₁ l₂ : list α} {a : α}
@[simp, to_additive]
theorem prod_nil : ([] : list α).prod = 1 := rfl
@[to_additive]
theorem prod_singleton : [a].prod = a := one_mul a
@[simp, to_additive]
theorem prod_cons : (a::l).prod = a * l.prod :=
calc (a::l).prod = foldl (*) (a * 1) l : by simp only [list.prod, foldl_cons, one_mul, mul_one]
... = _ : foldl_assoc
@[simp, to_additive]
theorem prod_append : (l₁ ++ l₂).prod = l₁.prod * l₂.prod :=
calc (l₁ ++ l₂).prod = foldl (*) (foldl (*) 1 l₁ * 1) l₂ : by simp [list.prod]
... = l₁.prod * l₂.prod : foldl_assoc
@[simp, to_additive]
theorem prod_join {l : list (list α)} : l.join.prod = (l.map list.prod).prod :=
by induction l; [refl, simp only [*, list.join, map, prod_append, prod_cons]]
theorem prod_ne_zero {R : Type*} [domain R] {L : list R} :
(∀ x ∈ L, (x : _) ≠ 0) → L.prod ≠ 0 :=
list.rec_on L (λ _, one_ne_zero) $ λ hd tl ih H,
by { rw forall_mem_cons at H, rw prod_cons, exact mul_ne_zero H.1 (ih H.2) }
@[to_additive]
theorem prod_eq_foldr : l.prod = foldr (*) 1 l :=
list.rec_on l rfl $ λ a l ihl, by rw [prod_cons, foldr_cons, ihl]
@[to_additive]
theorem prod_hom_rel {α β γ : Type*} [monoid β] [monoid γ] (l : list α) {r : β → γ → Prop}
{f : α → β} {g : α → γ} (h₁ : r 1 1) (h₂ : ∀⦃a b c⦄, r b c → r (f a * b) (g a * c)) :
r (l.map f).prod (l.map g).prod :=
list.rec_on l h₁ (λ a l hl, by simp only [map_cons, prod_cons, h₂ hl])
@[to_additive]
theorem prod_hom [monoid β] (l : list α) (f : α →* β) :
(l.map f).prod = f l.prod :=
by { simp only [prod, foldl_map, f.map_one.symm],
exact l.foldl_hom _ _ _ 1 f.map_mul }
-- `to_additive` chokes on the next few lemmas, so we do them by hand below
@[simp]
lemma prod_take_mul_prod_drop :
∀ (L : list α) (i : ℕ), (L.take i).prod * (L.drop i).prod = L.prod
| [] i := by simp
| L 0 := by simp
| (h :: t) (n+1) := by { dsimp, rw [prod_cons, prod_cons, mul_assoc, prod_take_mul_prod_drop], }
@[simp]
lemma prod_take_succ :
∀ (L : list α) (i : ℕ) (p), (L.take (i + 1)).prod = (L.take i).prod * L.nth_le i p
| [] i p := by cases p
| (h :: t) 0 _ := by simp
| (h :: t) (n+1) _ := by { dsimp, rw [prod_cons, prod_cons, prod_take_succ, mul_assoc], }
/-- A list with product not one must have positive length. -/
lemma length_pos_of_prod_ne_one (L : list α) (h : L.prod ≠ 1) : 0 < L.length :=
by { cases L, { simp at h, cases h, }, { simp, }, }
end monoid
@[simp]
lemma sum_take_add_sum_drop [add_monoid α] :
∀ (L : list α) (i : ℕ), (L.take i).sum + (L.drop i).sum = L.sum
| [] i := by simp
| L 0 := by simp
| (h :: t) (n+1) := by { dsimp, rw [sum_cons, sum_cons, add_assoc, sum_take_add_sum_drop], }
@[simp]
lemma sum_take_succ [add_monoid α] :
∀ (L : list α) (i : ℕ) (p), (L.take (i + 1)).sum = (L.take i).sum + L.nth_le i p
| [] i p := by cases p
| (h :: t) 0 _ := by simp
| (h :: t) (n+1) _ := by { dsimp, rw [sum_cons, sum_cons, sum_take_succ, add_assoc], }
lemma eq_of_sum_take_eq [add_left_cancel_monoid α] {L L' : list α} (h : L.length = L'.length)
(h' : ∀ i ≤ L.length, (L.take i).sum = (L'.take i).sum) : L = L' :=
begin
apply ext_le h (λ i h₁ h₂, _),
have : (L.take (i + 1)).sum = (L'.take (i + 1)).sum := h' _ (nat.succ_le_of_lt h₁),
rw [sum_take_succ L i h₁, sum_take_succ L' i h₂, h' i (le_of_lt h₁)] at this,
exact add_left_cancel this
end
lemma monotone_sum_take [canonically_ordered_add_monoid α] (L : list α) :
monotone (λ i, (L.take i).sum) :=
begin
apply monotone_of_monotone_nat (λ n, _),
by_cases h : n < L.length,
{ rw sum_take_succ _ _ h,
exact le_add_right (le_refl _) },
{ push_neg at h,
simp [take_all_of_le h, take_all_of_le (le_trans h (nat.le_succ _))] }
end
/-- A list with sum not zero must have positive length. -/
lemma length_pos_of_sum_ne_zero [add_monoid α] (L : list α) (h : L.sum ≠ 0) : 0 < L.length :=
by { cases L, { simp at h, cases h, }, { simp, }, }
/-- If all elements in a list are bounded below by `1`, then the length of the list is bounded
by the sum of the elements. -/
lemma length_le_sum_of_one_le (L : list ℕ) (h : ∀ i ∈ L, 1 ≤ i) : L.length ≤ L.sum :=
begin
induction L with j L IH h, { simp },
rw [sum_cons, length, add_comm],
exact add_le_add (h _ (set.mem_insert _ _)) (IH (λ i hi, h i (set.mem_union_right _ hi)))
end
-- Now we tie those lemmas back to their multiplicative versions.
attribute [to_additive] prod_take_mul_prod_drop prod_take_succ length_pos_of_prod_ne_one
/-- A list with positive sum must have positive length. -/
-- This is an easy consequence of `length_pos_of_sum_ne_zero`, but often useful in applications.
lemma length_pos_of_sum_pos [ordered_cancel_add_comm_monoid α] (L : list α) (h : 0 < L.sum) :
0 < L.length :=
length_pos_of_sum_ne_zero L (ne_of_gt h)
@[simp, to_additive]
theorem prod_erase [decidable_eq α] [comm_monoid α] {a} :
Π {l : list α}, a ∈ l → a * (l.erase a).prod = l.prod
| (b::l) h :=
begin
rcases eq_or_ne_mem_of_mem h with rfl | ⟨ne, h⟩,
{ simp only [list.erase, if_pos, prod_cons] },
{ simp only [list.erase, if_neg (mt eq.symm ne), prod_cons, prod_erase h, mul_left_comm a b] }
end
lemma dvd_prod [comm_monoid α] {a} {l : list α} (ha : a ∈ l) : a ∣ l.prod :=
let ⟨s, t, h⟩ := mem_split ha in
by rw [h, prod_append, prod_cons, mul_left_comm]; exact dvd_mul_right _ _
@[simp] theorem sum_const_nat (m n : ℕ) : sum (list.repeat m n) = m * n :=
by induction n; [refl, simp only [*, repeat_succ, sum_cons, nat.mul_succ, add_comm]]
theorem dvd_sum [comm_semiring α] {a} {l : list α} (h : ∀ x ∈ l, a ∣ x) : a ∣ l.sum :=
begin
induction l with x l ih,
{ exact dvd_zero _ },
{ rw [list.sum_cons],
exact dvd_add (h _ (mem_cons_self _ _)) (ih (λ x hx, h x (mem_cons_of_mem _ hx))) }
end
@[simp] theorem length_join (L : list (list α)) : length (join L) = sum (map length L) :=
by induction L; [refl, simp only [*, join, map, sum_cons, length_append]]
@[simp] theorem length_bind (l : list α) (f : α → list β) :
length (list.bind l f) = sum (map (length ∘ f) l) :=
by rw [list.bind, length_join, map_map]
lemma exists_lt_of_sum_lt [decidable_linear_ordered_cancel_add_comm_monoid β] {l : list α}
(f g : α → β) (h : (l.map f).sum < (l.map g).sum) : ∃ x ∈ l, f x < g x :=
begin
induction l with x l,
{ exfalso, exact lt_irrefl _ h },
{ by_cases h' : f x < g x, exact ⟨x, mem_cons_self _ _, h'⟩,
rcases l_ih _ with ⟨y, h1y, h2y⟩, refine ⟨y, mem_cons_of_mem x h1y, h2y⟩, simp at h,
exact lt_of_add_lt_add_left (lt_of_lt_of_le h $ add_le_add_right (le_of_not_gt h') _) }
end
lemma exists_le_of_sum_le [decidable_linear_ordered_cancel_add_comm_monoid β] {l : list α}
(hl : l ≠ []) (f g : α → β) (h : (l.map f).sum ≤ (l.map g).sum) : ∃ x ∈ l, f x ≤ g x :=
begin
cases l with x l,
{ contradiction },
{ by_cases h' : f x ≤ g x, exact ⟨x, mem_cons_self _ _, h'⟩,
rcases exists_lt_of_sum_lt f g _ with ⟨y, h1y, h2y⟩,
exact ⟨y, mem_cons_of_mem x h1y, le_of_lt h2y⟩, simp at h,
exact lt_of_add_lt_add_left (lt_of_le_of_lt h $ add_lt_add_right (lt_of_not_ge h') _) }
end
-- Several lemmas about sum/head/tail for `list ℕ`.
-- These are hard to generalize well, as they rely on the fact that `default ℕ = 0`.
-- We'd like to state this as `L.head * L.tail.prod = L.prod`,
-- but because `L.head` relies on an inhabited instances and
-- returns a garbage value for the empty list, this is not possible.
-- Instead we write the statement in terms of `(L.nth 0).get_or_else 1`,
-- and below, restate the lemma just for `ℕ`.
@[to_additive]
lemma head_mul_tail_prod' [monoid α] (L : list α) :
(L.nth 0).get_or_else 1 * L.tail.prod = L.prod :=
by { cases L, { simp, refl, }, { simp, }, }
lemma head_add_tail_sum (L : list ℕ) : L.head + L.tail.sum = L.sum :=
by { cases L, { simp, refl, }, { simp, }, }
lemma head_le_sum (L : list ℕ) : L.head ≤ L.sum :=
nat.le.intro (head_add_tail_sum L)
lemma tail_sum (L : list ℕ) : L.tail.sum = L.sum - L.head :=
by rw [← head_add_tail_sum L, add_comm, nat.add_sub_cancel]
section
variables {G : Type*} [comm_group G]
attribute [to_additive] alternating_prod
@[simp, to_additive] lemma alternating_prod_nil :
alternating_prod ([] : list G) = 1 := rfl
@[simp, to_additive] lemma alternating_prod_singleton (g : G) :
alternating_prod [g] = g := rfl
@[simp, to_additive alternating_sum_cons_cons']
lemma alternating_prod_cons_cons (g h : G) (l : list G) :
alternating_prod (g :: h :: l) = g * h⁻¹ * alternating_prod l := rfl
lemma alternating_sum_cons_cons {G : Type*} [add_comm_group G] (g h : G) (l : list G) :
alternating_sum (g :: h :: l) = g - h + alternating_sum l := rfl
end
/-! ### join -/
attribute [simp] join
theorem join_eq_nil : ∀ {L : list (list α)}, join L = [] ↔ ∀ l ∈ L, l = []
| [] := iff_of_true rfl (forall_mem_nil _)
| (l::L) := by simp only [join, append_eq_nil, join_eq_nil, forall_mem_cons]
@[simp] theorem join_append (L₁ L₂ : list (list α)) : join (L₁ ++ L₂) = join L₁ ++ join L₂ :=
by induction L₁; [refl, simp only [*, join, cons_append, append_assoc]]
lemma join_join (l : list (list (list α))) : l.join.join = (l.map join).join :=
by { induction l, simp, simp [l_ih] }
/-- In a join, taking the first elements up to an index which is the sum of the lengths of the
first `i` sublists, is the same as taking the join of the first `i` sublists. -/
lemma take_sum_join (L : list (list α)) (i : ℕ) :
L.join.take ((L.map length).take i).sum = (L.take i).join :=
begin
induction L generalizing i, { simp },
cases i, { simp },
simp [take_append, L_ih]
end
/-- In a join, dropping all the elements up to an index which is the sum of the lengths of the
first `i` sublists, is the same as taking the join after dropping the first `i` sublists. -/
lemma drop_sum_join (L : list (list α)) (i : ℕ) :
L.join.drop ((L.map length).take i).sum = (L.drop i).join :=
begin
induction L generalizing i, { simp },
cases i, { simp },
simp [drop_append, L_ih],
end
/-- Taking only the first `i+1` elements in a list, and then dropping the first `i` ones, one is
left with a list of length `1` made of the `i`-th element of the original list. -/
lemma drop_take_succ_eq_cons_nth_le (L : list α) {i : ℕ} (hi : i < L.length) :
(L.take (i+1)).drop i = [nth_le L i hi] :=
begin
induction L generalizing i,
{ simp only [length] at hi, exact (nat.not_succ_le_zero i hi).elim },
cases i, { simp },
have : i < L_tl.length,
{ simp at hi,
exact nat.lt_of_succ_lt_succ hi },
simp [L_ih this],
refl
end
/-- In a join of sublists, taking the slice between the indices `A` and `B - 1` gives back the
original sublist of index `i` if `A` is the sum of the lenghts of sublists of index `< i`, and
`B` is the sum of the lengths of sublists of index `≤ i`. -/
lemma drop_take_succ_join_eq_nth_le (L : list (list α)) {i : ℕ} (hi : i < L.length) :
(L.join.take ((L.map length).take (i+1)).sum).drop ((L.map length).take i).sum = nth_le L i hi :=
begin
have : (L.map length).take i = ((L.take (i+1)).map length).take i, by simp [map_take, take_take],
simp [take_sum_join, this, drop_sum_join, drop_take_succ_eq_cons_nth_le _ hi]
end
/-- Auxiliary lemma to control elements in a join. -/
lemma sum_take_map_length_lt1 (L : list (list α)) {i j : ℕ}
(hi : i < L.length) (hj : j < (nth_le L i hi).length) :
((L.map length).take i).sum + j < ((L.map length).take (i+1)).sum :=
by simp [hi, sum_take_succ, hj]
/-- Auxiliary lemma to control elements in a join. -/
lemma sum_take_map_length_lt2 (L : list (list α)) {i j : ℕ}
(hi : i < L.length) (hj : j < (nth_le L i hi).length) :
((L.map length).take i).sum + j < L.join.length :=
begin
convert lt_of_lt_of_le (sum_take_map_length_lt1 L hi hj) (monotone_sum_take _ hi),
have : L.length = (L.map length).length, by simp,
simp [this, -length_map]
end
/-- The `n`-th element in a join of sublists is the `j`-th element of the `i`th sublist,
where `n` can be obtained in terms of `i` and `j` by adding the lengths of all the sublists
of index `< i`, and adding `j`. -/
lemma nth_le_join (L : list (list α)) {i j : ℕ}
(hi : i < L.length) (hj : j < (nth_le L i hi).length) :
nth_le L.join (((L.map length).take i).sum + j) (sum_take_map_length_lt2 L hi hj) =
nth_le (nth_le L i hi) j hj :=
by rw [nth_le_take L.join (sum_take_map_length_lt2 L hi hj) (sum_take_map_length_lt1 L hi hj),
nth_le_drop, nth_le_of_eq (drop_take_succ_join_eq_nth_le L hi)]
/-- Two lists of sublists are equal iff their joins coincide, as well as the lengths of the
sublists. -/
theorem eq_iff_join_eq (L L' : list (list α)) :
L = L' ↔ L.join = L'.join ∧ map length L = map length L' :=
begin
refine ⟨λ H, by simp [H], _⟩,
rintros ⟨join_eq, length_eq⟩,
apply ext_le,
{ have : length (map length L) = length (map length L'), by rw length_eq,
simpa using this },
{ assume n h₁ h₂,
rw [← drop_take_succ_join_eq_nth_le, ← drop_take_succ_join_eq_nth_le, join_eq, length_eq] }
end
/-! ### lexicographic ordering -/
/-- Given a strict order `<` on `α`, the lexicographic strict order on `list α`, for which
`[a0, ..., an] < [b0, ..., b_k]` if `a0 < b0` or `a0 = b0` and `[a1, ..., an] < [b1, ..., bk]`.
The definition is given for any relation `r`, not only strict orders. -/
inductive lex (r : α → α → Prop) : list α → list α → Prop
| nil {a l} : lex [] (a :: l)
| cons {a l₁ l₂} (h : lex l₁ l₂) : lex (a :: l₁) (a :: l₂)
| rel {a₁ l₁ a₂ l₂} (h : r a₁ a₂) : lex (a₁ :: l₁) (a₂ :: l₂)
namespace lex
theorem cons_iff {r : α → α → Prop} [is_irrefl α r] {a l₁ l₂} :
lex r (a :: l₁) (a :: l₂) ↔ lex r l₁ l₂ :=
⟨λ h, by cases h with _ _ _ _ _ h _ _ _ _ h;
[exact h, exact (irrefl_of r a h).elim], lex.cons⟩
@[simp] theorem not_nil_right (r : α → α → Prop) (l : list α) : ¬ lex r l [].
instance is_order_connected (r : α → α → Prop)
[is_order_connected α r] [is_trichotomous α r] :
is_order_connected (list α) (lex r) :=
⟨λ l₁, match l₁ with
| _, [], c::l₃, nil := or.inr nil
| _, [], c::l₃, rel _ := or.inr nil
| _, [], c::l₃, cons _ := or.inr nil
| _, b::l₂, c::l₃, nil := or.inl nil
| a::l₁, b::l₂, c::l₃, rel h :=
(is_order_connected.conn _ b _ h).imp rel rel
| a::l₁, b::l₂, _::l₃, cons h := begin
rcases trichotomous_of r a b with ab | rfl | ab,
{ exact or.inl (rel ab) },
{ exact (_match _ l₂ _ h).imp cons cons },
{ exact or.inr (rel ab) }
end
end⟩
instance is_trichotomous (r : α → α → Prop) [is_trichotomous α r] :
is_trichotomous (list α) (lex r) :=
⟨λ l₁, match l₁ with
| [], [] := or.inr (or.inl rfl)
| [], b::l₂ := or.inl nil
| a::l₁, [] := or.inr (or.inr nil)
| a::l₁, b::l₂ := begin
rcases trichotomous_of r a b with ab | rfl | ab,
{ exact or.inl (rel ab) },
{ exact (_match l₁ l₂).imp cons
(or.imp (congr_arg _) cons) },
{ exact or.inr (or.inr (rel ab)) }
end
end⟩
instance is_asymm (r : α → α → Prop)
[is_asymm α r] : is_asymm (list α) (lex r) :=
⟨λ l₁, match l₁ with
| a::l₁, b::l₂, lex.rel h₁, lex.rel h₂ := asymm h₁ h₂
| a::l₁, b::l₂, lex.rel h₁, lex.cons h₂ := asymm h₁ h₁
| a::l₁, b::l₂, lex.cons h₁, lex.rel h₂ := asymm h₂ h₂
| a::l₁, b::l₂, lex.cons h₁, lex.cons h₂ :=
by exact _match _ _ h₁ h₂
end⟩
instance is_strict_total_order (r : α → α → Prop)
[is_strict_total_order' α r] : is_strict_total_order' (list α) (lex r) :=
{..is_strict_weak_order_of_is_order_connected}
instance decidable_rel [decidable_eq α] (r : α → α → Prop)
[decidable_rel r] : decidable_rel (lex r)
| l₁ [] := is_false $ λ h, by cases h
| [] (b::l₂) := is_true lex.nil
| (a::l₁) (b::l₂) := begin
haveI := decidable_rel l₁ l₂,
refine decidable_of_iff (r a b ∨ a = b ∧ lex r l₁ l₂) ⟨λ h, _, λ h, _⟩,
{ rcases h with h | ⟨rfl, h⟩,
{ exact lex.rel h },
{ exact lex.cons h } },
{ rcases h with _|⟨_,_,_,h⟩|⟨_,_,_,_,h⟩,
{ exact or.inr ⟨rfl, h⟩ },
{ exact or.inl h } }
end
theorem append_right (r : α → α → Prop) :
∀ {s₁ s₂} t, lex r s₁ s₂ → lex r s₁ (s₂ ++ t)
| _ _ t nil := nil
| _ _ t (cons h) := cons (append_right _ h)
| _ _ t (rel r) := rel r
theorem append_left (R : α → α → Prop) {t₁ t₂} (h : lex R t₁ t₂) :
∀ s, lex R (s ++ t₁) (s ++ t₂)
| [] := h
| (a::l) := cons (append_left l)
theorem imp {r s : α → α → Prop} (H : ∀ a b, r a b → s a b) :
∀ l₁ l₂, lex r l₁ l₂ → lex s l₁ l₂
| _ _ nil := nil
| _ _ (cons h) := cons (imp _ _ h)
| _ _ (rel r) := rel (H _ _ r)
theorem to_ne : ∀ {l₁ l₂ : list α}, lex (≠) l₁ l₂ → l₁ ≠ l₂
| _ _ (cons h) e := to_ne h (list.cons.inj e).2
| _ _ (rel r) e := r (list.cons.inj e).1
theorem ne_iff {l₁ l₂ : list α} (H : length l₁ ≤ length l₂) :
lex (≠) l₁ l₂ ↔ l₁ ≠ l₂ :=
⟨to_ne, λ h, begin
induction l₁ with a l₁ IH generalizing l₂; cases l₂ with b l₂,
{ contradiction },
{ apply nil },
{ exact (not_lt_of_ge H).elim (succ_pos _) },
{ cases classical.em (a = b) with ab ab,
{ subst b, apply cons,
exact IH (le_of_succ_le_succ H) (mt (congr_arg _) h) },
{ exact rel ab } }
end⟩
end lex
--Note: this overrides an instance in core lean
instance has_lt' [has_lt α] : has_lt (list α) := ⟨lex (<)⟩
theorem nil_lt_cons [has_lt α] (a : α) (l : list α) : [] < a :: l :=
lex.nil
instance [linear_order α] : linear_order (list α) :=
linear_order_of_STO' (lex (<))
--Note: this overrides an instance in core lean
instance has_le' [linear_order α] : has_le (list α) :=
preorder.to_has_le _
instance [decidable_linear_order α] : decidable_linear_order (list α) :=
decidable_linear_order_of_STO' (lex (<))
/-! ### all & any -/
@[simp] theorem all_nil (p : α → bool) : all [] p = tt := rfl
@[simp] theorem all_cons (p : α → bool) (a : α) (l : list α) :
all (a::l) p = (p a && all l p) := rfl
theorem all_iff_forall {p : α → bool} {l : list α} : all l p ↔ ∀ a ∈ l, p a :=
begin
induction l with a l ih,
{ exact iff_of_true rfl (forall_mem_nil _) },
simp only [all_cons, band_coe_iff, ih, forall_mem_cons]
end
theorem all_iff_forall_prop {p : α → Prop} [decidable_pred p]
{l : list α} : all l (λ a, p a) ↔ ∀ a ∈ l, p a :=
by simp only [all_iff_forall, bool.of_to_bool_iff]
@[simp] theorem any_nil (p : α → bool) : any [] p = ff := rfl
@[simp] theorem any_cons (p : α → bool) (a : α) (l : list α) :
any (a::l) p = (p a || any l p) := rfl
theorem any_iff_exists {p : α → bool} {l : list α} : any l p ↔ ∃ a ∈ l, p a :=
begin
induction l with a l ih,
{ exact iff_of_false bool.not_ff (not_exists_mem_nil _) },
simp only [any_cons, bor_coe_iff, ih, exists_mem_cons_iff]
end
theorem any_iff_exists_prop {p : α → Prop} [decidable_pred p]
{l : list α} : any l (λ a, p a) ↔ ∃ a ∈ l, p a :=
by simp [any_iff_exists]
theorem any_of_mem {p : α → bool} {a : α} {l : list α} (h₁ : a ∈ l) (h₂ : p a) : any l p :=
any_iff_exists.2 ⟨_, h₁, h₂⟩
@[priority 500] instance decidable_forall_mem {p : α → Prop} [decidable_pred p] (l : list α) :
decidable (∀ x ∈ l, p x) :=
decidable_of_iff _ all_iff_forall_prop
instance decidable_exists_mem {p : α → Prop} [decidable_pred p] (l : list α) :
decidable (∃ x ∈ l, p x) :=
decidable_of_iff _ any_iff_exists_prop
/-! ### map for partial functions -/
/-- Partial map. If `f : Π a, p a → β` is a partial function defined on
`a : α` satisfying `p`, then `pmap f l h` is essentially the same as `map f l`
but is defined only when all members of `l` satisfy `p`, using the proof
to apply `f`. -/
@[simp] def pmap {p : α → Prop} (f : Π a, p a → β) : Π l : list α, (∀ a ∈ l, p a) → list β
| [] H := []
| (a::l) H := f a (forall_mem_cons.1 H).1 :: pmap l (forall_mem_cons.1 H).2
/-- "Attach" the proof that the elements of `l` are in `l` to produce a new list
with the same elements but in the type `{x // x ∈ l}`. -/
def attach (l : list α) : list {x // x ∈ l} := pmap subtype.mk l (λ a, id)
theorem sizeof_lt_sizeof_of_mem [has_sizeof α] {x : α} {l : list α} (hx : x ∈ l) :
sizeof x < sizeof l :=
begin
induction l with h t ih; cases hx,
{ rw hx, exact lt_add_of_lt_of_nonneg (lt_one_add _) (nat.zero_le _) },
{ exact lt_add_of_pos_of_le (zero_lt_one_add _) (le_of_lt (ih hx)) }
end
theorem pmap_eq_map (p : α → Prop) (f : α → β) (l : list α) (H) :
@pmap _ _ p (λ a _, f a) l H = map f l :=
by induction l; [refl, simp only [*, pmap, map]]; split; refl
theorem pmap_congr {p q : α → Prop} {f : Π a, p a → β} {g : Π a, q a → β}
(l : list α) {H₁ H₂} (h : ∀ a h₁ h₂, f a h₁ = g a h₂) :
pmap f l H₁ = pmap g l H₂ :=
by induction l with _ _ ih; [refl, rw [pmap, pmap, h, ih]]
theorem map_pmap {p : α → Prop} (g : β → γ) (f : Π a, p a → β)
(l H) : map g (pmap f l H) = pmap (λ a h, g (f a h)) l H :=
by induction l; [refl, simp only [*, pmap, map]]; split; refl
theorem pmap_eq_map_attach {p : α → Prop} (f : Π a, p a → β)
(l H) : pmap f l H = l.attach.map (λ x, f x.1 (H _ x.2)) :=
by rw [attach, map_pmap]; exact pmap_congr l (λ a h₁ h₂, rfl)
theorem attach_map_val (l : list α) : l.attach.map subtype.val = l :=
by rw [attach, map_pmap]; exact (pmap_eq_map _ _ _ _).trans (map_id l)
@[simp] theorem mem_attach (l : list α) : ∀ x, x ∈ l.attach | ⟨a, h⟩ :=
by have := mem_map.1 (by rw [attach_map_val]; exact h);
{ rcases this with ⟨⟨_, _⟩, m, rfl⟩, exact m }
@[simp] theorem mem_pmap {p : α → Prop} {f : Π a, p a → β}
{l H b} : b ∈ pmap f l H ↔ ∃ a (h : a ∈ l), f a (H a h) = b :=
by simp only [pmap_eq_map_attach, mem_map, mem_attach, true_and, subtype.exists]
@[simp] theorem length_pmap {p : α → Prop} {f : Π a, p a → β}
{l H} : length (pmap f l H) = length l :=
by induction l; [refl, simp only [*, pmap, length]]
@[simp] lemma length_attach (L : list α) : L.attach.length = L.length := length_pmap
/-! ### find -/
section find
variables {p : α → Prop} [decidable_pred p] {l : list α} {a : α}
@[simp] theorem find_nil (p : α → Prop) [decidable_pred p] : find p [] = none :=
rfl
@[simp] theorem find_cons_of_pos (l) (h : p a) : find p (a::l) = some a :=
if_pos h
@[simp] theorem find_cons_of_neg (l) (h : ¬ p a) : find p (a::l) = find p l :=
if_neg h
@[simp] theorem find_eq_none : find p l = none ↔ ∀ x ∈ l, ¬ p x :=
begin
induction l with a l IH,
{ exact iff_of_true rfl (forall_mem_nil _) },
rw forall_mem_cons, by_cases h : p a,
{ simp only [find_cons_of_pos _ h, h, not_true, false_and] },
{ rwa [find_cons_of_neg _ h, iff_true_intro h, true_and] }
end
theorem find_some (H : find p l = some a) : p a :=
begin
induction l with b l IH, {contradiction},
by_cases h : p b,
{ rw find_cons_of_pos _ h at H, cases H, exact h },
{ rw find_cons_of_neg _ h at H, exact IH H }
end
@[simp] theorem find_mem (H : find p l = some a) : a ∈ l :=
begin
induction l with b l IH, {contradiction},
by_cases h : p b,
{ rw find_cons_of_pos _ h at H, cases H, apply mem_cons_self },
{ rw find_cons_of_neg _ h at H, exact mem_cons_of_mem _ (IH H) }
end
end find
/-! ### lookmap -/
section lookmap
variables (f : α → option α)
@[simp] theorem lookmap_nil : [].lookmap f = [] := rfl
@[simp] theorem lookmap_cons_none {a : α} (l : list α) (h : f a = none) :
(a :: l).lookmap f = a :: l.lookmap f :=
by simp [lookmap, h]
@[simp] theorem lookmap_cons_some {a b : α} (l : list α) (h : f a = some b) :
(a :: l).lookmap f = b :: l :=
by simp [lookmap, h]
theorem lookmap_some : ∀ l : list α, l.lookmap some = l
| [] := rfl
| (a::l) := rfl
theorem lookmap_none : ∀ l : list α, l.lookmap (λ _, none) = l
| [] := rfl
| (a::l) := congr_arg (cons a) (lookmap_none l)
theorem lookmap_congr {f g : α → option α} :
∀ {l : list α}, (∀ a ∈ l, f a = g a) → l.lookmap f = l.lookmap g
| [] H := rfl
| (a::l) H := begin
cases forall_mem_cons.1 H with H₁ H₂,
cases h : g a with b,
{ simp [h, H₁.trans h, lookmap_congr H₂] },
{ simp [lookmap_cons_some _ _ h, lookmap_cons_some _ _ (H₁.trans h)] }
end
theorem lookmap_of_forall_not {l : list α} (H : ∀ a ∈ l, f a = none) : l.lookmap f = l :=
(lookmap_congr H).trans (lookmap_none l)
theorem lookmap_map_eq (g : α → β) (h : ∀ a (b ∈ f a), g a = g b) :
∀ l : list α, map g (l.lookmap f) = map g l
| [] := rfl
| (a::l) := begin
cases h' : f a with b,
{ simp [h', lookmap_map_eq] },
{ simp [lookmap_cons_some _ _ h', h _ _ h'] }
end
theorem lookmap_id' (h : ∀ a (b ∈ f a), a = b) (l : list α) : l.lookmap f = l :=
by rw [← map_id (l.lookmap f), lookmap_map_eq, map_id]; exact h
theorem length_lookmap (l : list α) : length (l.lookmap f) = length l :=
by rw [← length_map, lookmap_map_eq _ (λ _, ()), length_map]; simp
end lookmap
/-! ### filter_map -/
@[simp] theorem filter_map_nil (f : α → option β) : filter_map f [] = [] := rfl
@[simp] theorem filter_map_cons_none {f : α → option β} (a : α) (l : list α) (h : f a = none) :
filter_map f (a :: l) = filter_map f l :=
by simp only [filter_map, h]
@[simp] theorem filter_map_cons_some (f : α → option β)
(a : α) (l : list α) {b : β} (h : f a = some b) :
filter_map f (a :: l) = b :: filter_map f l :=
by simp only [filter_map, h]; split; refl
theorem filter_map_eq_map (f : α → β) : filter_map (some ∘ f) = map f :=
begin
funext l,
induction l with a l IH, {refl},
simp only [filter_map_cons_some (some ∘ f) _ _ rfl, IH, map_cons], split; refl
end
theorem filter_map_eq_filter (p : α → Prop) [decidable_pred p] :
filter_map (option.guard p) = filter p :=
begin
funext l,
induction l with a l IH, {refl},
by_cases pa : p a,
{ simp only [filter_map, option.guard, IH, if_pos pa, filter_cons_of_pos _ pa], split; refl },
{ simp only [filter_map, option.guard, IH, if_neg pa, filter_cons_of_neg _ pa] }
end
theorem filter_map_filter_map (f : α → option β) (g : β → option γ) (l : list α) :
filter_map g (filter_map f l) = filter_map (λ x, (f x).bind g) l :=
begin
induction l with a l IH, {refl},
cases h : f a with b,
{ rw [filter_map_cons_none _ _ h, filter_map_cons_none, IH],
simp only [h, option.none_bind'] },
rw filter_map_cons_some _ _ _ h,
cases h' : g b with c;
[ rw [filter_map_cons_none _ _ h', filter_map_cons_none, IH],
rw [filter_map_cons_some _ _ _ h', filter_map_cons_some, IH] ];
simp only [h, h', option.some_bind']
end
theorem map_filter_map (f : α → option β) (g : β → γ) (l : list α) :
map g (filter_map f l) = filter_map (λ x, (f x).map g) l :=
by rw [← filter_map_eq_map, filter_map_filter_map]; refl
theorem filter_map_map (f : α → β) (g : β → option γ) (l : list α) :
filter_map g (map f l) = filter_map (g ∘ f) l :=
by rw [← filter_map_eq_map, filter_map_filter_map]; refl
theorem filter_filter_map (f : α → option β) (p : β → Prop) [decidable_pred p] (l : list α) :
filter p (filter_map f l) = filter_map (λ x, (f x).filter p) l :=
by rw [← filter_map_eq_filter, filter_map_filter_map]; refl
theorem filter_map_filter (p : α → Prop) [decidable_pred p] (f : α → option β) (l : list α) :
filter_map f (filter p l) = filter_map (λ x, if p x then f x else none) l :=
begin
rw [← filter_map_eq_filter, filter_map_filter_map], congr,
funext x,
show (option.guard p x).bind f = ite (p x) (f x) none,
by_cases h : p x,
{ simp only [option.guard, if_pos h, option.some_bind'] },
{ simp only [option.guard, if_neg h, option.none_bind'] }
end
@[simp] theorem filter_map_some (l : list α) : filter_map some l = l :=
by rw filter_map_eq_map; apply map_id
@[simp] theorem mem_filter_map (f : α → option β) (l : list α) {b : β} :
b ∈ filter_map f l ↔ ∃ a, a ∈ l ∧ f a = some b :=
begin
induction l with a l IH,
{ split, { intro H, cases H }, { rintro ⟨_, H, _⟩, cases H } },
cases h : f a with b',
{ have : f a ≠ some b, {rw h, intro, contradiction},
simp only [filter_map_cons_none _ _ h, IH, mem_cons_iff,
or_and_distrib_right, exists_or_distrib, exists_eq_left, this, false_or] },
{ have : f a = some b ↔ b = b',
{ split; intro t, {rw t at h; injection h}, {exact t.symm ▸ h} },
simp only [filter_map_cons_some _ _ _ h, IH, mem_cons_iff,
or_and_distrib_right, exists_or_distrib, this, exists_eq_left] }
end
theorem map_filter_map_of_inv (f : α → option β) (g : β → α)
(H : ∀ x : α, (f x).map g = some x) (l : list α) :
map g (filter_map f l) = l :=
by simp only [map_filter_map, H, filter_map_some]
theorem sublist.filter_map (f : α → option β) {l₁ l₂ : list α}
(s : l₁ <+ l₂) : filter_map f l₁ <+ filter_map f l₂ :=
by induction s with l₁ l₂ a s IH l₁ l₂ a s IH;
simp only [filter_map]; cases f a with b;
simp only [filter_map, IH, sublist.cons, sublist.cons2]
theorem sublist.map (f : α → β) {l₁ l₂ : list α}
(s : l₁ <+ l₂) : map f l₁ <+ map f l₂ :=
filter_map_eq_map f ▸ s.filter_map _
/-! ### filter -/
section filter
variables {p : α → Prop} [decidable_pred p]
theorem filter_eq_foldr (p : α → Prop) [decidable_pred p] (l : list α) :
filter p l = foldr (λ a out, if p a then a :: out else out) [] l :=
by induction l; simp [*, filter]
lemma filter_congr {p q : α → Prop} [decidable_pred p] [decidable_pred q]
: ∀ {l : list α}, (∀ x ∈ l, p x ↔ q x) → filter p l = filter q l
| [] _ := rfl
| (a::l) h := by rw forall_mem_cons at h; by_cases pa : p a;
[simp only [filter_cons_of_pos _ pa, filter_cons_of_pos _ (h.1.1 pa), filter_congr h.2],
simp only [filter_cons_of_neg _ pa, filter_cons_of_neg _ (mt h.1.2 pa), filter_congr h.2]];
split; refl
@[simp] theorem filter_subset (l : list α) : filter p l ⊆ l :=
(filter_sublist l).subset
theorem of_mem_filter {a : α} : ∀ {l}, a ∈ filter p l → p a
| (b::l) ain :=
if pb : p b then
have a ∈ b :: filter p l, by simpa only [filter_cons_of_pos _ pb] using ain,
or.elim (eq_or_mem_of_mem_cons this)
(assume : a = b, begin rw [← this] at pb, exact pb end)
(assume : a ∈ filter p l, of_mem_filter this)
else
begin simp only [filter_cons_of_neg _ pb] at ain, exact (of_mem_filter ain) end
theorem mem_of_mem_filter {a : α} {l} (h : a ∈ filter p l) : a ∈ l :=
filter_subset l h
theorem mem_filter_of_mem {a : α} : ∀ {l}, a ∈ l → p a → a ∈ filter p l
| (_::l) (or.inl rfl) pa := by rw filter_cons_of_pos _ pa; apply mem_cons_self
| (b::l) (or.inr ain) pa := if pb : p b
then by rw [filter_cons_of_pos _ pb]; apply mem_cons_of_mem; apply mem_filter_of_mem ain pa
else by rw [filter_cons_of_neg _ pb]; apply mem_filter_of_mem ain pa
@[simp] theorem mem_filter {a : α} {l} : a ∈ filter p l ↔ a ∈ l ∧ p a :=
⟨λ h, ⟨mem_of_mem_filter h, of_mem_filter h⟩, λ ⟨h₁, h₂⟩, mem_filter_of_mem h₁ h₂⟩
theorem filter_eq_self {l} : filter p l = l ↔ ∀ a ∈ l, p a :=
begin
induction l with a l ih,
{ exact iff_of_true rfl (forall_mem_nil _) },
rw forall_mem_cons, by_cases p a,
{ rw [filter_cons_of_pos _ h, cons_inj, ih, and_iff_right h] },
{ rw [filter_cons_of_neg _ h],
refine iff_of_false _ (mt and.left h), intro e,
have := filter_sublist l, rw e at this,
exact not_lt_of_ge (length_le_of_sublist this) (lt_succ_self _) }
end
theorem filter_eq_nil {l} : filter p l = [] ↔ ∀ a ∈ l, ¬p a :=
by simp only [eq_nil_iff_forall_not_mem, mem_filter, not_and]
theorem filter_sublist_filter {l₁ l₂} (s : l₁ <+ l₂) : filter p l₁ <+ filter p l₂ :=
filter_map_eq_filter p ▸ s.filter_map _
theorem filter_of_map (f : β → α) (l) : filter p (map f l) = map f (filter (p ∘ f) l) :=
by rw [← filter_map_eq_map, filter_filter_map, filter_map_filter]; refl
@[simp] theorem filter_filter {q} [decidable_pred q] : ∀ l,
filter p (filter q l) = filter (λ a, p a ∧ q a) l
| [] := rfl
| (a :: l) := by by_cases hp : p a; by_cases hq : q a; simp only [hp, hq, filter, if_true, if_false,
true_and, false_and, filter_filter l, eq_self_iff_true]
@[simp] lemma filter_true {h : decidable_pred (λ a : α, true)} (l : list α) :
@filter α (λ _, true) h l = l :=
by convert filter_eq_self.2 (λ _ _, trivial)
@[simp] lemma filter_false {h : decidable_pred (λ a : α, false)} (l : list α) :
@filter α (λ _, false) h l = [] :=
by convert filter_eq_nil.2 (λ _ _, id)
@[simp] theorem span_eq_take_drop (p : α → Prop) [decidable_pred p] :
∀ (l : list α), span p l = (take_while p l, drop_while p l)
| [] := rfl
| (a::l) :=
if pa : p a then by simp only [span, if_pos pa, span_eq_take_drop l, take_while, drop_while]
else by simp only [span, take_while, drop_while, if_neg pa]
@[simp] theorem take_while_append_drop (p : α → Prop) [decidable_pred p] :
∀ (l : list α), take_while p l ++ drop_while p l = l
| [] := rfl
| (a::l) := if pa : p a then by rw [take_while, drop_while, if_pos pa, if_pos pa, cons_append,
take_while_append_drop l]
else by rw [take_while, drop_while, if_neg pa, if_neg pa, nil_append]
@[simp] theorem countp_nil (p : α → Prop) [decidable_pred p] : countp p [] = 0 := rfl
@[simp] theorem countp_cons_of_pos {a : α} (l) (pa : p a) : countp p (a::l) = countp p l + 1 :=
if_pos pa
@[simp] theorem countp_cons_of_neg {a : α} (l) (pa : ¬ p a) : countp p (a::l) = countp p l :=
if_neg pa
theorem countp_eq_length_filter (l) : countp p l = length (filter p l) :=
by induction l with x l ih; [refl, by_cases (p x)];
[simp only [filter_cons_of_pos _ h, countp, ih, if_pos h],
simp only [countp_cons_of_neg _ h, ih, filter_cons_of_neg _ h]]; refl
local attribute [simp] countp_eq_length_filter
@[simp] theorem countp_append (l₁ l₂) : countp p (l₁ ++ l₂) = countp p l₁ + countp p l₂ :=
by simp only [countp_eq_length_filter, filter_append, length_append]
theorem countp_pos {l} : 0 < countp p l ↔ ∃ a ∈ l, p a :=
by simp only [countp_eq_length_filter, length_pos_iff_exists_mem, mem_filter, exists_prop]
theorem countp_le_of_sublist {l₁ l₂} (s : l₁ <+ l₂) : countp p l₁ ≤ countp p l₂ :=
by simpa only [countp_eq_length_filter] using length_le_of_sublist (filter_sublist_filter s)
@[simp] theorem countp_filter {q} [decidable_pred q] (l : list α) :
countp p (filter q l) = countp (λ a, p a ∧ q a) l :=
by simp only [countp_eq_length_filter, filter_filter]
end filter
/-! ### count -/
section count
variable [decidable_eq α]
@[simp] theorem count_nil (a : α) : count a [] = 0 := rfl
theorem count_cons (a b : α) (l : list α) :
count a (b :: l) = if a = b then succ (count a l) else count a l := rfl
theorem count_cons' (a b : α) (l : list α) :
count a (b :: l) = count a l + (if a = b then 1 else 0) :=
begin rw count_cons, split_ifs; refl end
@[simp] theorem count_cons_self (a : α) (l : list α) : count a (a::l) = succ (count a l) :=
if_pos rfl
@[simp, priority 990]
theorem count_cons_of_ne {a b : α} (h : a ≠ b) (l : list α) : count a (b::l) = count a l :=
if_neg h
theorem count_tail : Π (l : list α) (a : α) (h : 0 < l.length),
l.tail.count a = l.count a - ite (a = list.nth_le l 0 h) 1 0
| (_ :: _) a h := by { rw [count_cons], split_ifs; simp }
theorem count_le_of_sublist (a : α) {l₁ l₂} : l₁ <+ l₂ → count a l₁ ≤ count a l₂ :=
countp_le_of_sublist
theorem count_le_count_cons (a b : α) (l : list α) : count a l ≤ count a (b :: l) :=
count_le_of_sublist _ (sublist_cons _ _)
theorem count_singleton (a : α) : count a [a] = 1 := if_pos rfl
@[simp] theorem count_append (a : α) : ∀ l₁ l₂, count a (l₁ ++ l₂) = count a l₁ + count a l₂ :=
countp_append
theorem count_concat (a : α) (l : list α) : count a (concat l a) = succ (count a l) :=
by simp [-add_comm]
theorem count_pos {a : α} {l : list α} : 0 < count a l ↔ a ∈ l :=
by simp only [count, countp_pos, exists_prop, exists_eq_right']
@[simp, priority 980]
theorem count_eq_zero_of_not_mem {a : α} {l : list α} (h : a ∉ l) : count a l = 0 :=
by_contradiction $ λ h', h $ count_pos.1 (nat.pos_of_ne_zero h')
theorem not_mem_of_count_eq_zero {a : α} {l : list α} (h : count a l = 0) : a ∉ l :=
λ h', ne_of_gt (count_pos.2 h') h
@[simp] theorem count_repeat (a : α) (n : ℕ) : count a (repeat a n) = n :=
by rw [count, countp_eq_length_filter, filter_eq_self.2, length_repeat];
exact λ b m, (eq_of_mem_repeat m).symm
theorem le_count_iff_repeat_sublist {a : α} {l : list α} {n : ℕ} :
n ≤ count a l ↔ repeat a n <+ l :=
⟨λ h, ((repeat_sublist_repeat a).2 h).trans $
have filter (eq a) l = repeat a (count a l), from eq_repeat.2
⟨by simp only [count, countp_eq_length_filter], λ b m, (of_mem_filter m).symm⟩,
by rw ← this; apply filter_sublist,
λ h, by simpa only [count_repeat] using count_le_of_sublist a h⟩
theorem repeat_count_eq_of_count_eq_length {a : α} {l : list α} (h : count a l = length l) :
repeat a (count a l) = l :=
eq_of_sublist_of_length_eq (le_count_iff_repeat_sublist.mp (le_refl (count a l)))
(eq.trans (length_repeat a (count a l)) h)
@[simp] theorem count_filter {p} [decidable_pred p]
{a} {l : list α} (h : p a) : count a (filter p l) = count a l :=
by simp only [count, countp_filter]; congr; exact
set.ext (λ b, and_iff_left_of_imp (λ e, e ▸ h))
end count
/-! ### prefix, suffix, infix -/
@[simp] theorem prefix_append (l₁ l₂ : list α) : l₁ <+: l₁ ++ l₂ := ⟨l₂, rfl⟩
@[simp] theorem suffix_append (l₁ l₂ : list α) : l₂ <:+ l₁ ++ l₂ := ⟨l₁, rfl⟩
theorem infix_append (l₁ l₂ l₃ : list α) : l₂ <:+: l₁ ++ l₂ ++ l₃ := ⟨l₁, l₃, rfl⟩
@[simp] theorem infix_append' (l₁ l₂ l₃ : list α) : l₂ <:+: l₁ ++ (l₂ ++ l₃) :=
by rw ← list.append_assoc; apply infix_append
theorem nil_prefix (l : list α) : [] <+: l := ⟨l, rfl⟩
theorem nil_suffix (l : list α) : [] <:+ l := ⟨l, append_nil _⟩
@[refl] theorem prefix_refl (l : list α) : l <+: l := ⟨[], append_nil _⟩
@[refl] theorem suffix_refl (l : list α) : l <:+ l := ⟨[], rfl⟩
@[simp] theorem suffix_cons (a : α) : ∀ l, l <:+ a :: l := suffix_append [a]
theorem prefix_concat (a : α) (l) : l <+: concat l a := by simp
theorem infix_of_prefix {l₁ l₂ : list α} : l₁ <+: l₂ → l₁ <:+: l₂ :=
λ⟨t, h⟩, ⟨[], t, h⟩
theorem infix_of_suffix {l₁ l₂ : list α} : l₁ <:+ l₂ → l₁ <:+: l₂ :=
λ⟨t, h⟩, ⟨t, [], by simp only [h, append_nil]⟩
@[refl] theorem infix_refl (l : list α) : l <:+: l := infix_of_prefix $ prefix_refl l
theorem nil_infix (l : list α) : [] <:+: l := infix_of_prefix $ nil_prefix l
theorem infix_cons {L₁ L₂ : list α} {x : α} : L₁ <:+: L₂ → L₁ <:+: x :: L₂ :=
λ⟨LP, LS, H⟩, ⟨x :: LP, LS, H ▸ rfl⟩
@[trans] theorem is_prefix.trans : ∀ {l₁ l₂ l₃ : list α}, l₁ <+: l₂ → l₂ <+: l₃ → l₁ <+: l₃
| l ._ ._ ⟨r₁, rfl⟩ ⟨r₂, rfl⟩ := ⟨r₁ ++ r₂, (append_assoc _ _ _).symm⟩
@[trans] theorem is_suffix.trans : ∀ {l₁ l₂ l₃ : list α}, l₁ <:+ l₂ → l₂ <:+ l₃ → l₁ <:+ l₃
| l ._ ._ ⟨l₁, rfl⟩ ⟨l₂, rfl⟩ := ⟨l₂ ++ l₁, append_assoc _ _ _⟩
@[trans] theorem is_infix.trans : ∀ {l₁ l₂ l₃ : list α}, l₁ <:+: l₂ → l₂ <:+: l₃ → l₁ <:+: l₃
| l ._ ._ ⟨l₁, r₁, rfl⟩ ⟨l₂, r₂, rfl⟩ := ⟨l₂ ++ l₁, r₁ ++ r₂, by simp only [append_assoc]⟩
theorem sublist_of_infix {l₁ l₂ : list α} : l₁ <:+: l₂ → l₁ <+ l₂ :=
λ⟨s, t, h⟩, by rw [← h]; exact (sublist_append_right _ _).trans (sublist_append_left _ _)
theorem sublist_of_prefix {l₁ l₂ : list α} : l₁ <+: l₂ → l₁ <+ l₂ :=
sublist_of_infix ∘ infix_of_prefix
theorem sublist_of_suffix {l₁ l₂ : list α} : l₁ <:+ l₂ → l₁ <+ l₂ :=
sublist_of_infix ∘ infix_of_suffix
theorem reverse_suffix {l₁ l₂ : list α} : reverse l₁ <:+ reverse l₂ ↔ l₁ <+: l₂ :=
⟨λ ⟨r, e⟩, ⟨reverse r,
by rw [← reverse_reverse l₁, ← reverse_append, e, reverse_reverse]⟩,
λ ⟨r, e⟩, ⟨reverse r, by rw [← reverse_append, e]⟩⟩
theorem reverse_prefix {l₁ l₂ : list α} : reverse l₁ <+: reverse l₂ ↔ l₁ <:+ l₂ :=
by rw ← reverse_suffix; simp only [reverse_reverse]
theorem length_le_of_infix {l₁ l₂ : list α} (s : l₁ <:+: l₂) : length l₁ ≤ length l₂ :=
length_le_of_sublist $ sublist_of_infix s
theorem eq_nil_of_infix_nil {l : list α} (s : l <:+: []) : l = [] :=
eq_nil_of_sublist_nil $ sublist_of_infix s
theorem eq_nil_of_prefix_nil {l : list α} (s : l <+: []) : l = [] :=
eq_nil_of_infix_nil $ infix_of_prefix s
theorem eq_nil_of_suffix_nil {l : list α} (s : l <:+ []) : l = [] :=
eq_nil_of_infix_nil $ infix_of_suffix s
theorem infix_iff_prefix_suffix (l₁ l₂ : list α) : l₁ <:+: l₂ ↔ ∃ t, l₁ <+: t ∧ t <:+ l₂ :=
⟨λ⟨s, t, e⟩, ⟨l₁ ++ t, ⟨_, rfl⟩, by rw [← e, append_assoc]; exact ⟨_, rfl⟩⟩,
λ⟨._, ⟨t, rfl⟩, ⟨s, e⟩⟩, ⟨s, t, by rw append_assoc; exact e⟩⟩
theorem eq_of_infix_of_length_eq {l₁ l₂ : list α} (s : l₁ <:+: l₂) :
length l₁ = length l₂ → l₁ = l₂ :=
eq_of_sublist_of_length_eq $ sublist_of_infix s
theorem eq_of_prefix_of_length_eq {l₁ l₂ : list α} (s : l₁ <+: l₂) :
length l₁ = length l₂ → l₁ = l₂ :=
eq_of_sublist_of_length_eq $ sublist_of_prefix s
theorem eq_of_suffix_of_length_eq {l₁ l₂ : list α} (s : l₁ <:+ l₂) :
length l₁ = length l₂ → l₁ = l₂ :=
eq_of_sublist_of_length_eq $ sublist_of_suffix s
theorem prefix_of_prefix_length_le : ∀ {l₁ l₂ l₃ : list α},
l₁ <+: l₃ → l₂ <+: l₃ → length l₁ ≤ length l₂ → l₁ <+: l₂
| [] l₂ l₃ h₁ h₂ _ := nil_prefix _
| (a::l₁) (b::l₂) _ ⟨r₁, rfl⟩ ⟨r₂, e⟩ ll := begin
injection e with _ e', subst b,
rcases prefix_of_prefix_length_le ⟨_, rfl⟩ ⟨_, e'⟩
(le_of_succ_le_succ ll) with ⟨r₃, rfl⟩,
exact ⟨r₃, rfl⟩
end
theorem prefix_or_prefix_of_prefix {l₁ l₂ l₃ : list α}
(h₁ : l₁ <+: l₃) (h₂ : l₂ <+: l₃) : l₁ <+: l₂ ∨ l₂ <+: l₁ :=
(le_total (length l₁) (length l₂)).imp
(prefix_of_prefix_length_le h₁ h₂)
(prefix_of_prefix_length_le h₂ h₁)
theorem suffix_of_suffix_length_le {l₁ l₂ l₃ : list α}
(h₁ : l₁ <:+ l₃) (h₂ : l₂ <:+ l₃) (ll : length l₁ ≤ length l₂) : l₁ <:+ l₂ :=
reverse_prefix.1 $ prefix_of_prefix_length_le
(reverse_prefix.2 h₁) (reverse_prefix.2 h₂) (by simp [ll])
theorem suffix_or_suffix_of_suffix {l₁ l₂ l₃ : list α}
(h₁ : l₁ <:+ l₃) (h₂ : l₂ <:+ l₃) : l₁ <:+ l₂ ∨ l₂ <:+ l₁ :=
(prefix_or_prefix_of_prefix (reverse_prefix.2 h₁) (reverse_prefix.2 h₂)).imp
reverse_prefix.1 reverse_prefix.1
theorem infix_of_mem_join : ∀ {L : list (list α)} {l}, l ∈ L → l <:+: join L
| (_ :: L) l (or.inl rfl) := infix_append [] _ _
| (l' :: L) l (or.inr h) :=
is_infix.trans (infix_of_mem_join h) $ infix_of_suffix $ suffix_append _ _
theorem prefix_append_right_inj {l₁ l₂ : list α} (l) : l ++ l₁ <+: l ++ l₂ ↔ l₁ <+: l₂ :=
exists_congr $ λ r, by rw [append_assoc, append_right_inj]
theorem prefix_cons_inj {l₁ l₂ : list α} (a) : a :: l₁ <+: a :: l₂ ↔ l₁ <+: l₂ :=
prefix_append_right_inj [a]
theorem take_prefix (n) (l : list α) : take n l <+: l := ⟨_, take_append_drop _ _⟩
theorem drop_suffix (n) (l : list α) : drop n l <:+ l := ⟨_, take_append_drop _ _⟩
theorem tail_suffix (l : list α) : tail l <:+ l := by rw ← drop_one; apply drop_suffix
theorem tail_subset (l : list α) : tail l ⊆ l := (sublist_of_suffix (tail_suffix l)).subset
theorem prefix_iff_eq_append {l₁ l₂ : list α} : l₁ <+: l₂ ↔ l₁ ++ drop (length l₁) l₂ = l₂ :=
⟨by rintros ⟨r, rfl⟩; rw drop_left, λ e, ⟨_, e⟩⟩
theorem suffix_iff_eq_append {l₁ l₂ : list α} :
l₁ <:+ l₂ ↔ take (length l₂ - length l₁) l₂ ++ l₁ = l₂ :=
⟨by rintros ⟨r, rfl⟩; simp only [length_append, nat.add_sub_cancel, take_left], λ e, ⟨_, e⟩⟩
theorem prefix_iff_eq_take {l₁ l₂ : list α} : l₁ <+: l₂ ↔ l₁ = take (length l₁) l₂ :=
⟨λ h, append_right_cancel $
(prefix_iff_eq_append.1 h).trans (take_append_drop _ _).symm,
λ e, e.symm ▸ take_prefix _ _⟩
theorem suffix_iff_eq_drop {l₁ l₂ : list α} : l₁ <:+ l₂ ↔ l₁ = drop (length l₂ - length l₁) l₂ :=
⟨λ h, append_left_cancel $
(suffix_iff_eq_append.1 h).trans (take_append_drop _ _).symm,
λ e, e.symm ▸ drop_suffix _ _⟩
instance decidable_prefix [decidable_eq α] : ∀ (l₁ l₂ : list α), decidable (l₁ <+: l₂)
| [] l₂ := is_true ⟨l₂, rfl⟩
| (a::l₁) [] := is_false $ λ ⟨t, te⟩, list.no_confusion te
| (a::l₁) (b::l₂) :=
if h : a = b then
@decidable_of_iff _ _ (by rw [← h, prefix_cons_inj])
(decidable_prefix l₁ l₂)
else
is_false $ λ ⟨t, te⟩, h $ by injection te
-- Alternatively, use mem_tails
instance decidable_suffix [decidable_eq α] : ∀ (l₁ l₂ : list α), decidable (l₁ <:+ l₂)
| [] l₂ := is_true ⟨l₂, append_nil _⟩
| (a::l₁) [] := is_false $ mt (length_le_of_sublist ∘ sublist_of_suffix) dec_trivial
| l₁ l₂ := let len1 := length l₁, len2 := length l₂ in
if hl : len1 ≤ len2 then
decidable_of_iff' (l₁ = drop (len2-len1) l₂) suffix_iff_eq_drop
else is_false $ λ h, hl $ length_le_of_sublist $ sublist_of_suffix h
@[simp] theorem mem_inits : ∀ (s t : list α), s ∈ inits t ↔ s <+: t
| s [] := suffices s = nil ↔ s <+: nil, by simpa only [inits, mem_singleton],
⟨λh, h.symm ▸ prefix_refl [], eq_nil_of_prefix_nil⟩
| s (a::t) :=
suffices (s = nil ∨ ∃ l ∈ inits t, a :: l = s) ↔ s <+: a :: t, by simpa,
⟨λo, match s, o with
| ._, or.inl rfl := ⟨_, rfl⟩
| s, or.inr ⟨r, hr, hs⟩ := let ⟨s, ht⟩ := (mem_inits _ _).1 hr in
by rw [← hs, ← ht]; exact ⟨s, rfl⟩
end, λmi, match s, mi with
| [], ⟨._, rfl⟩ := or.inl rfl
| (b::s), ⟨r, hr⟩ := list.no_confusion hr $ λba (st : s++r = t), or.inr $
by rw ba; exact ⟨_, (mem_inits _ _).2 ⟨_, st⟩, rfl⟩
end⟩
@[simp] theorem mem_tails : ∀ (s t : list α), s ∈ tails t ↔ s <:+ t
| s [] := by simp only [tails, mem_singleton];
exact ⟨λh, by rw h; exact suffix_refl [], eq_nil_of_suffix_nil⟩
| s (a::t) := by simp only [tails, mem_cons_iff, mem_tails s t];
exact show s = a :: t ∨ s <:+ t ↔ s <:+ a :: t, from
⟨λo, match s, t, o with
| ._, t, or.inl rfl := suffix_refl _
| s, ._, or.inr ⟨l, rfl⟩ := ⟨a::l, rfl⟩
end, λe, match s, t, e with
| ._, t, ⟨[], rfl⟩ := or.inl rfl
| s, t, ⟨b::l, he⟩ := list.no_confusion he (λab lt, or.inr ⟨l, lt⟩)
end⟩
instance decidable_infix [decidable_eq α] : ∀ (l₁ l₂ : list α), decidable (l₁ <:+: l₂)
| [] l₂ := is_true ⟨[], l₂, rfl⟩
| (a::l₁) [] := is_false $ λ⟨s, t, te⟩, absurd te $ append_ne_nil_of_ne_nil_left _ _ $
append_ne_nil_of_ne_nil_right _ _ $ λh, list.no_confusion h
| l₁ l₂ := decidable_of_decidable_of_iff (list.decidable_bex (λt, l₁ <+: t) (tails l₂)) $
by refine (exists_congr (λt, _)).trans (infix_iff_prefix_suffix _ _).symm;
exact ⟨λ⟨h1, h2⟩, ⟨h2, (mem_tails _ _).1 h1⟩, λ⟨h2, h1⟩, ⟨(mem_tails _ _).2 h1, h2⟩⟩
/-! ### sublists -/
@[simp] theorem sublists'_nil : sublists' (@nil α) = [[]] := rfl
@[simp, priority 1100] theorem sublists'_singleton (a : α) : sublists' [a] = [[], [a]] := rfl
theorem map_sublists'_aux (g : list β → list γ) (l : list α) (f r) :
map g (sublists'_aux l f r) = sublists'_aux l (g ∘ f) (map g r) :=
by induction l generalizing f r; [refl, simp only [*, sublists'_aux]]
theorem sublists'_aux_append (r' : list (list β)) (l : list α) (f r) :
sublists'_aux l f (r ++ r') = sublists'_aux l f r ++ r' :=
by induction l generalizing f r; [refl, simp only [*, sublists'_aux]]
theorem sublists'_aux_eq_sublists' (l f r) :
@sublists'_aux α β l f r = map f (sublists' l) ++ r :=
by rw [sublists', map_sublists'_aux, ← sublists'_aux_append]; refl
@[simp] theorem sublists'_cons (a : α) (l : list α) :
sublists' (a :: l) = sublists' l ++ map (cons a) (sublists' l) :=
by rw [sublists', sublists'_aux]; simp only [sublists'_aux_eq_sublists', map_id, append_nil]; refl
@[simp] theorem mem_sublists' {s t : list α} : s ∈ sublists' t ↔ s <+ t :=
begin
induction t with a t IH generalizing s,
{ simp only [sublists'_nil, mem_singleton],
exact ⟨λ h, by rw h, eq_nil_of_sublist_nil⟩ },
simp only [sublists'_cons, mem_append, IH, mem_map],
split; intro h, rcases h with h | ⟨s, h, rfl⟩,
{ exact sublist_cons_of_sublist _ h },
{ exact cons_sublist_cons _ h },
{ cases h with _ _ _ h s _ _ h,
{ exact or.inl h },
{ exact or.inr ⟨s, h, rfl⟩ } }
end
@[simp] theorem length_sublists' : ∀ l : list α, length (sublists' l) = 2 ^ length l
| [] := rfl
| (a::l) := by simp only [sublists'_cons, length_append, length_sublists' l, length_map,
length, nat.pow_succ, mul_succ, mul_zero, zero_add]
@[simp] theorem sublists_nil : sublists (@nil α) = [[]] := rfl
@[simp] theorem sublists_singleton (a : α) : sublists [a] = [[], [a]] := rfl
theorem sublists_aux₁_eq_sublists_aux : ∀ l (f : list α → list β),
sublists_aux₁ l f = sublists_aux l (λ ys r, f ys ++ r)
| [] f := rfl
| (a::l) f := by rw [sublists_aux₁, sublists_aux]; simp only [*, append_assoc]
theorem sublists_aux_cons_eq_sublists_aux₁ (l : list α) :
sublists_aux l cons = sublists_aux₁ l (λ x, [x]) :=
by rw [sublists_aux₁_eq_sublists_aux]; refl
theorem sublists_aux_eq_foldr.aux {a : α} {l : list α}
(IH₁ : ∀ (f : list α → list β → list β), sublists_aux l f = foldr f [] (sublists_aux l cons))
(IH₂ : ∀ (f : list α → list (list α) → list (list α)),
sublists_aux l f = foldr f [] (sublists_aux l cons))
(f : list α → list β → list β) : sublists_aux (a::l) f = foldr f [] (sublists_aux (a::l) cons) :=
begin
simp only [sublists_aux, foldr_cons], rw [IH₂, IH₁], congr' 1,
induction sublists_aux l cons with _ _ ih, {refl},
simp only [ih, foldr_cons]
end
theorem sublists_aux_eq_foldr (l : list α) : ∀ (f : list α → list β → list β),
sublists_aux l f = foldr f [] (sublists_aux l cons) :=
suffices _ ∧ ∀ f : list α → list (list α) → list (list α),
sublists_aux l f = foldr f [] (sublists_aux l cons),
from this.1,
begin
induction l with a l IH, {split; intro; refl},
exact ⟨sublists_aux_eq_foldr.aux IH.1 IH.2,
sublists_aux_eq_foldr.aux IH.2 IH.2⟩
end
theorem sublists_aux_cons_cons (l : list α) (a : α) :
sublists_aux (a::l) cons = [a] :: foldr (λys r, ys :: (a :: ys) :: r) [] (sublists_aux l cons) :=
by rw [← sublists_aux_eq_foldr]; refl
theorem sublists_aux₁_append : ∀ (l₁ l₂ : list α) (f : list α → list β),
sublists_aux₁ (l₁ ++ l₂) f = sublists_aux₁ l₁ f ++
sublists_aux₁ l₂ (λ x, f x ++ sublists_aux₁ l₁ (f ∘ (++ x)))
| [] l₂ f := by simp only [sublists_aux₁, nil_append, append_nil]
| (a::l₁) l₂ f := by simp only [sublists_aux₁, cons_append, sublists_aux₁_append l₁, append_assoc];
refl
theorem sublists_aux₁_concat (l : list α) (a : α) (f : list α → list β) :
sublists_aux₁ (l ++ [a]) f = sublists_aux₁ l f ++
f [a] ++ sublists_aux₁ l (λ x, f (x ++ [a])) :=
by simp only [sublists_aux₁_append, sublists_aux₁, append_assoc, append_nil]
theorem sublists_aux₁_bind : ∀ (l : list α)
(f : list α → list β) (g : β → list γ),
(sublists_aux₁ l f).bind g = sublists_aux₁ l (λ x, (f x).bind g)
| [] f g := rfl
| (a::l) f g := by simp only [sublists_aux₁, bind_append, sublists_aux₁_bind l]
theorem sublists_aux_cons_append (l₁ l₂ : list α) :
sublists_aux (l₁ ++ l₂) cons = sublists_aux l₁ cons ++
(do x ← sublists_aux l₂ cons, (++ x) <$> sublists l₁) :=
begin
simp only [sublists, sublists_aux_cons_eq_sublists_aux₁, sublists_aux₁_append, bind_eq_bind,
sublists_aux₁_bind],
congr, funext x, apply congr_arg _,
rw [← bind_ret_eq_map, sublists_aux₁_bind], exact (append_nil _).symm
end
theorem sublists_append (l₁ l₂ : list α) :
sublists (l₁ ++ l₂) = (do x ← sublists l₂, (++ x) <$> sublists l₁) :=
by simp only [map, sublists, sublists_aux_cons_append, map_eq_map, bind_eq_bind,
cons_bind, map_id', append_nil, cons_append, map_id' (λ _, rfl)]; split; refl
@[simp] theorem sublists_concat (l : list α) (a : α) :
sublists (l ++ [a]) = sublists l ++ map (λ x, x ++ [a]) (sublists l) :=
by rw [sublists_append, sublists_singleton, bind_eq_bind, cons_bind, cons_bind, nil_bind,
map_eq_map, map_eq_map, map_id' (append_nil), append_nil]
theorem sublists_reverse (l : list α) : sublists (reverse l) = map reverse (sublists' l) :=
by induction l with hd tl ih; [refl,
simp only [reverse_cons, sublists_append, sublists'_cons, map_append, ih, sublists_singleton,
map_eq_map, bind_eq_bind, map_map, cons_bind, append_nil, nil_bind, (∘)]]
theorem sublists_eq_sublists' (l : list α) : sublists l = map reverse (sublists' (reverse l)) :=
by rw [← sublists_reverse, reverse_reverse]
theorem sublists'_reverse (l : list α) : sublists' (reverse l) = map reverse (sublists l) :=
by simp only [sublists_eq_sublists', map_map, map_id' (reverse_reverse)]
theorem sublists'_eq_sublists (l : list α) : sublists' l = map reverse (sublists (reverse l)) :=
by rw [← sublists'_reverse, reverse_reverse]
theorem sublists_aux_ne_nil : ∀ (l : list α), [] ∉ sublists_aux l cons
| [] := id
| (a::l) := begin
rw [sublists_aux_cons_cons],
refine not_mem_cons_of_ne_of_not_mem (cons_ne_nil _ _).symm _,
have := sublists_aux_ne_nil l, revert this,
induction sublists_aux l cons; intro, {rwa foldr},
simp only [foldr, mem_cons_iff, false_or, not_or_distrib],
exact ⟨ne_of_not_mem_cons this, ih (not_mem_of_not_mem_cons this)⟩
end
@[simp] theorem mem_sublists {s t : list α} : s ∈ sublists t ↔ s <+ t :=
by rw [← reverse_sublist_iff, ← mem_sublists',
sublists'_reverse, mem_map_of_injective reverse_injective]
@[simp] theorem length_sublists (l : list α) : length (sublists l) = 2 ^ length l :=
by simp only [sublists_eq_sublists', length_map, length_sublists', length_reverse]
theorem map_ret_sublist_sublists (l : list α) : map list.ret l <+ sublists l :=
reverse_rec_on l (nil_sublist _) $
λ l a IH, by simp only [map, map_append, sublists_concat]; exact
((append_sublist_append_left _).2 $ singleton_sublist.2 $
mem_map.2 ⟨[], mem_sublists.2 (nil_sublist _), by refl⟩).trans
((append_sublist_append_right _).2 IH)
/-! ### sublists_len -/
/-- Auxiliary function to construct the list of all sublists of a given length. Given an
integer `n`, a list `l`, a function `f` and an auxiliary list `L`, it returns the list made of
of `f` applied to all sublists of `l` of length `n`, concatenated with `L`. -/
def sublists_len_aux {α β : Type*} : ℕ → list α → (list α → β) → list β → list β
| 0 l f r := f [] :: r
| (n+1) [] f r := r
| (n+1) (a::l) f r := sublists_len_aux (n + 1) l f
(sublists_len_aux n l (f ∘ list.cons a) r)
/-- The list of all sublists of a list `l` that are of length `n`. For instance, for
`l = [0, 1, 2, 3]` and `n = 2`, one gets
`[[2, 3], [1, 3], [1, 2], [0, 3], [0, 2], [0, 1]]`. -/
def sublists_len {α : Type*} (n : ℕ) (l : list α) : list (list α) :=
sublists_len_aux n l id []
lemma sublists_len_aux_append {α β γ : Type*} :
∀ (n : ℕ) (l : list α) (f : list α → β) (g : β → γ) (r : list β) (s : list γ),
sublists_len_aux n l (g ∘ f) (r.map g ++ s) =
(sublists_len_aux n l f r).map g ++ s
| 0 l f g r s := rfl
| (n+1) [] f g r s := rfl
| (n+1) (a::l) f g r s := begin
unfold sublists_len_aux,
rw [show ((g ∘ f) ∘ list.cons a) = (g ∘ f ∘ list.cons a), by refl,
sublists_len_aux_append, sublists_len_aux_append]
end
lemma sublists_len_aux_eq {α β : Type*} (l : list α) (n) (f : list α → β) (r) :
sublists_len_aux n l f r = (sublists_len n l).map f ++ r :=
by rw [sublists_len, ← sublists_len_aux_append]; refl
lemma sublists_len_aux_zero {α : Type*} (l : list α) (f : list α → β) (r) :
sublists_len_aux 0 l f r = f [] :: r := by cases l; refl
@[simp] lemma sublists_len_zero {α : Type*} (l : list α) :
sublists_len 0 l = [[]] := sublists_len_aux_zero _ _ _
@[simp] lemma sublists_len_succ_nil {α : Type*} (n) :
sublists_len (n+1) (@nil α) = [] := rfl
@[simp] lemma sublists_len_succ_cons {α : Type*} (n) (a : α) (l) :
sublists_len (n + 1) (a::l) =
sublists_len (n + 1) l ++ (sublists_len n l).map (cons a) :=
by rw [sublists_len, sublists_len_aux, sublists_len_aux_eq,
sublists_len_aux_eq, map_id, append_nil]; refl
@[simp] lemma length_sublists_len {α : Type*} : ∀ n (l : list α),
length (sublists_len n l) = nat.choose (length l) n
| 0 l := by simp
| (n+1) [] := by simp
| (n+1) (a::l) := by simp [-add_comm, nat.choose, *]; apply add_comm
lemma sublists_len_sublist_sublists' {α : Type*} : ∀ n (l : list α),
sublists_len n l <+ sublists' l
| 0 l := singleton_sublist.2 (mem_sublists'.2 (nil_sublist _))
| (n+1) [] := nil_sublist _
| (n+1) (a::l) := begin
rw [sublists_len_succ_cons, sublists'_cons],
exact (sublists_len_sublist_sublists' _ _).append
((sublists_len_sublist_sublists' _ _).map _)
end
lemma sublists_len_sublist_of_sublist
{α : Type*} (n) {l₁ l₂ : list α} (h : l₁ <+ l₂) : sublists_len n l₁ <+ sublists_len n l₂ :=
begin
induction n with n IHn generalizing l₁ l₂, {simp},
induction h with l₁ l₂ a s IH l₁ l₂ a s IH, {refl},
{ refine IH.trans _,
rw sublists_len_succ_cons,
apply sublist_append_left },
{ simp [sublists_len_succ_cons],
exact IH.append ((IHn s).map _) }
end
lemma length_of_sublists_len {α : Type*} : ∀ {n} {l l' : list α},
l' ∈ sublists_len n l → length l' = n
| 0 l l' (or.inl rfl) := rfl
| (n+1) (a::l) l' h := begin
rw [sublists_len_succ_cons, mem_append, mem_map] at h,
rcases h with h | ⟨l', h, rfl⟩,
{ exact length_of_sublists_len h },
{ exact congr_arg (+1) (length_of_sublists_len h) },
end
lemma mem_sublists_len_self {α : Type*} {l l' : list α}
(h : l' <+ l) : l' ∈ sublists_len (length l') l :=
begin
induction h with l₁ l₂ a s IH l₁ l₂ a s IH,
{ exact or.inl rfl },
{ cases l₁ with b l₁,
{ exact or.inl rfl },
{ rw [length, sublists_len_succ_cons],
exact mem_append_left _ IH } },
{ rw [length, sublists_len_succ_cons],
exact mem_append_right _ (mem_map.2 ⟨_, IH, rfl⟩) }
end
@[simp] lemma mem_sublists_len {α : Type*} {n} {l l' : list α} :
l' ∈ sublists_len n l ↔ l' <+ l ∧ length l' = n :=
⟨λ h, ⟨mem_sublists'.1
((sublists_len_sublist_sublists' _ _).subset h),
length_of_sublists_len h⟩,
λ ⟨h₁, h₂⟩, h₂ ▸ mem_sublists_len_self h₁⟩
/-! ### permutations -/
section permutations
@[simp] theorem permutations_aux_nil (is : list α) : permutations_aux [] is = [] :=
by rw [permutations_aux, permutations_aux.rec]
@[simp] theorem permutations_aux_cons (t : α) (ts is : list α) :
permutations_aux (t :: ts) is = foldr (λy r, (permutations_aux2 t ts r y id).2)
(permutations_aux ts (t::is)) (permutations is) :=
by rw [permutations_aux, permutations_aux.rec]; refl
end permutations
/-! ### insert -/
section insert
variable [decidable_eq α]
@[simp] theorem insert_nil (a : α) : insert a nil = [a] := rfl
theorem insert.def (a : α) (l : list α) : insert a l = if a ∈ l then l else a :: l := rfl
@[simp, priority 980]
theorem insert_of_mem {a : α} {l : list α} (h : a ∈ l) : insert a l = l :=
by simp only [insert.def, if_pos h]
@[simp, priority 970]
theorem insert_of_not_mem {a : α} {l : list α} (h : a ∉ l) : insert a l = a :: l :=
by simp only [insert.def, if_neg h]; split; refl
@[simp] theorem mem_insert_iff {a b : α} {l : list α} : a ∈ insert b l ↔ a = b ∨ a ∈ l :=
begin
by_cases h' : b ∈ l,
{ simp only [insert_of_mem h'],
apply (or_iff_right_of_imp _).symm,
exact λ e, e.symm ▸ h' },
simp only [insert_of_not_mem h', mem_cons_iff]
end
@[simp] theorem suffix_insert (a : α) (l : list α) : l <:+ insert a l :=
by by_cases a ∈ l; [simp only [insert_of_mem h], simp only [insert_of_not_mem h, suffix_cons]]
@[simp] theorem mem_insert_self (a : α) (l : list α) : a ∈ insert a l :=
mem_insert_iff.2 (or.inl rfl)
theorem mem_insert_of_mem {a b : α} {l : list α} (h : a ∈ l) : a ∈ insert b l :=
mem_insert_iff.2 (or.inr h)
theorem eq_or_mem_of_mem_insert {a b : α} {l : list α} (h : a ∈ insert b l) : a = b ∨ a ∈ l :=
mem_insert_iff.1 h
@[simp] theorem length_insert_of_mem {a : α} {l : list α} (h : a ∈ l) :
length (insert a l) = length l :=
by rw insert_of_mem h
@[simp] theorem length_insert_of_not_mem {a : α} {l : list α} (h : a ∉ l) :
length (insert a l) = length l + 1 :=
by rw insert_of_not_mem h; refl
end insert
/-! ### erasep -/
section erasep
variables {p : α → Prop} [decidable_pred p]
@[simp] theorem erasep_nil : [].erasep p = [] := rfl
theorem erasep_cons (a : α) (l : list α) :
(a :: l).erasep p = if p a then l else a :: l.erasep p := rfl
@[simp] theorem erasep_cons_of_pos {a : α} {l : list α} (h : p a) : (a :: l).erasep p = l :=
by simp [erasep_cons, h]
@[simp] theorem erasep_cons_of_neg {a : α} {l : list α} (h : ¬ p a) :
(a::l).erasep p = a :: l.erasep p :=
by simp [erasep_cons, h]
theorem erasep_of_forall_not {l : list α}
(h : ∀ a ∈ l, ¬ p a) : l.erasep p = l :=
by induction l with _ _ ih; [refl,
simp [h _ (or.inl rfl), ih (forall_mem_of_forall_mem_cons h)]]
theorem exists_of_erasep {l : list α} {a} (al : a ∈ l) (pa : p a) :
∃ a l₁ l₂, (∀ b ∈ l₁, ¬ p b) ∧ p a ∧ l = l₁ ++ a :: l₂ ∧ l.erasep p = l₁ ++ l₂ :=
begin
induction l with b l IH, {cases al},
by_cases pb : p b,
{ exact ⟨b, [], l, forall_mem_nil _, pb, by simp [pb]⟩ },
{ rcases al with rfl | al, {exact pb.elim pa},
rcases IH al with ⟨c, l₁, l₂, h₁, h₂, h₃, h₄⟩,
exact ⟨c, b::l₁, l₂, forall_mem_cons.2 ⟨pb, h₁⟩,
h₂, by rw h₃; refl, by simp [pb, h₄]⟩ }
end
theorem exists_or_eq_self_of_erasep (p : α → Prop) [decidable_pred p] (l : list α) :
l.erasep p = l ∨ ∃ a l₁ l₂, (∀ b ∈ l₁, ¬ p b) ∧ p a ∧ l = l₁ ++ a :: l₂ ∧ l.erasep p = l₁ ++ l₂ :=
begin
by_cases h : ∃ a ∈ l, p a,
{ rcases h with ⟨a, ha, pa⟩,
exact or.inr (exists_of_erasep ha pa) },
{ simp at h, exact or.inl (erasep_of_forall_not h) }
end
@[simp] theorem length_erasep_of_mem {l : list α} {a} (al : a ∈ l) (pa : p a) :
length (l.erasep p) = pred (length l) :=
by rcases exists_of_erasep al pa with ⟨_, l₁, l₂, _, _, e₁, e₂⟩;
rw e₂; simp [-add_comm, e₁]; refl
theorem erasep_append_left {a : α} (pa : p a) :
∀ {l₁ : list α} (l₂), a ∈ l₁ → (l₁++l₂).erasep p = l₁.erasep p ++ l₂
| (x::xs) l₂ h := begin
by_cases h' : p x; simp [h'],
rw erasep_append_left l₂ (mem_of_ne_of_mem (mt _ h') h),
rintro rfl, exact pa
end
theorem erasep_append_right :
∀ {l₁ : list α} (l₂), (∀ b ∈ l₁, ¬ p b) → (l₁++l₂).erasep p = l₁ ++ l₂.erasep p
| [] l₂ h := rfl
| (x::xs) l₂ h := by simp [(forall_mem_cons.1 h).1,
erasep_append_right _ (forall_mem_cons.1 h).2]
theorem erasep_sublist (l : list α) : l.erasep p <+ l :=
by rcases exists_or_eq_self_of_erasep p l with h | ⟨c, l₁, l₂, h₁, h₂, h₃, h₄⟩;
[rw h, {rw [h₄, h₃], simp}]
theorem erasep_subset (l : list α) : l.erasep p ⊆ l :=
(erasep_sublist l).subset
theorem sublist.erasep {l₁ l₂ : list α} (s : l₁ <+ l₂) : l₁.erasep p <+ l₂.erasep p :=
begin
induction s,
case list.sublist.slnil { refl },
case list.sublist.cons : l₁ l₂ a s IH {
by_cases h : p a; simp [h],
exacts [IH.trans (erasep_sublist _), IH.cons _ _ _] },
case list.sublist.cons2 : l₁ l₂ a s IH {
by_cases h : p a; simp [h],
exacts [s, IH.cons2 _ _ _] }
end
theorem mem_of_mem_erasep {a : α} {l : list α} : a ∈ l.erasep p → a ∈ l :=
@erasep_subset _ _ _ _ _
@[simp] theorem mem_erasep_of_neg {a : α} {l : list α} (pa : ¬ p a) : a ∈ l.erasep p ↔ a ∈ l :=
⟨mem_of_mem_erasep, λ al, begin
rcases exists_or_eq_self_of_erasep p l with h | ⟨c, l₁, l₂, h₁, h₂, h₃, h₄⟩,
{ rwa h },
{ rw h₄, rw h₃ at al,
have : a ≠ c, {rintro rfl, exact pa.elim h₂},
simpa [this] using al }
end⟩
theorem erasep_map (f : β → α) :
∀ (l : list β), (map f l).erasep p = map f (l.erasep (p ∘ f))
| [] := rfl
| (b::l) := by by_cases p (f b); simp [h, erasep_map l]
@[simp] theorem extractp_eq_find_erasep :
∀ l : list α, extractp p l = (find p l, erasep p l)
| [] := rfl
| (a::l) := by by_cases pa : p a; simp [extractp, pa, extractp_eq_find_erasep l]
end erasep
/-! ### erase -/
section erase
variable [decidable_eq α]
@[simp] theorem erase_nil (a : α) : [].erase a = [] := rfl
theorem erase_cons (a b : α) (l : list α) :
(b :: l).erase a = if b = a then l else b :: l.erase a := rfl
@[simp] theorem erase_cons_head (a : α) (l : list α) : (a :: l).erase a = l :=
by simp only [erase_cons, if_pos rfl]
@[simp] theorem erase_cons_tail {a b : α} (l : list α) (h : b ≠ a) :
(b::l).erase a = b :: l.erase a :=
by simp only [erase_cons, if_neg h]; split; refl
theorem erase_eq_erasep (a : α) (l : list α) : l.erase a = l.erasep (eq a) :=
by { induction l with b l, {refl},
by_cases a = b; [simp [h], simp [h, ne.symm h, *]] }
@[simp, priority 980]
theorem erase_of_not_mem {a : α} {l : list α} (h : a ∉ l) : l.erase a = l :=
by rw [erase_eq_erasep, erasep_of_forall_not]; rintro b h' rfl; exact h h'
theorem exists_erase_eq {a : α} {l : list α} (h : a ∈ l) :
∃ l₁ l₂, a ∉ l₁ ∧ l = l₁ ++ a :: l₂ ∧ l.erase a = l₁ ++ l₂ :=
by rcases exists_of_erasep h rfl with ⟨_, l₁, l₂, h₁, rfl, h₂, h₃⟩;
rw erase_eq_erasep; exact ⟨l₁, l₂, λ h, h₁ _ h rfl, h₂, h₃⟩
@[simp] theorem length_erase_of_mem {a : α} {l : list α} (h : a ∈ l) :
length (l.erase a) = pred (length l) :=
by rw erase_eq_erasep; exact length_erasep_of_mem h rfl
theorem erase_append_left {a : α} {l₁ : list α} (l₂) (h : a ∈ l₁) :
(l₁++l₂).erase a = l₁.erase a ++ l₂ :=
by simp [erase_eq_erasep]; exact erasep_append_left (by refl) l₂ h
theorem erase_append_right {a : α} {l₁ : list α} (l₂) (h : a ∉ l₁) :
(l₁++l₂).erase a = l₁ ++ l₂.erase a :=
by rw [erase_eq_erasep, erase_eq_erasep, erasep_append_right];
rintro b h' rfl; exact h h'
theorem erase_sublist (a : α) (l : list α) : l.erase a <+ l :=
by rw erase_eq_erasep; apply erasep_sublist
theorem erase_subset (a : α) (l : list α) : l.erase a ⊆ l :=
(erase_sublist a l).subset
theorem sublist.erase (a : α) {l₁ l₂ : list α} (h : l₁ <+ l₂) : l₁.erase a <+ l₂.erase a :=
by simp [erase_eq_erasep]; exact sublist.erasep h
theorem mem_of_mem_erase {a b : α} {l : list α} : a ∈ l.erase b → a ∈ l :=
@erase_subset _ _ _ _ _
@[simp] theorem mem_erase_of_ne {a b : α} {l : list α} (ab : a ≠ b) : a ∈ l.erase b ↔ a ∈ l :=
by rw erase_eq_erasep; exact mem_erasep_of_neg ab.symm
theorem erase_comm (a b : α) (l : list α) : (l.erase a).erase b = (l.erase b).erase a :=
if ab : a = b then by rw ab else
if ha : a ∈ l then
if hb : b ∈ l then match l, l.erase a, exists_erase_eq ha, hb with
| ._, ._, ⟨l₁, l₂, ha', rfl, rfl⟩, hb :=
if h₁ : b ∈ l₁ then
by rw [erase_append_left _ h₁, erase_append_left _ h₁,
erase_append_right _ (mt mem_of_mem_erase ha'), erase_cons_head]
else
by rw [erase_append_right _ h₁, erase_append_right _ h₁, erase_append_right _ ha',
erase_cons_tail _ ab, erase_cons_head]
end
else by simp only [erase_of_not_mem hb, erase_of_not_mem (mt mem_of_mem_erase hb)]
else by simp only [erase_of_not_mem ha, erase_of_not_mem (mt mem_of_mem_erase ha)]
theorem map_erase [decidable_eq β] {f : α → β} (finj : injective f) {a : α}
(l : list α) : map f (l.erase a) = (map f l).erase (f a) :=
by rw [erase_eq_erasep, erase_eq_erasep, erasep_map]; congr;
ext b; simp [finj.eq_iff]
theorem map_foldl_erase [decidable_eq β] {f : α → β} (finj : injective f) {l₁ l₂ : list α} :
map f (foldl list.erase l₁ l₂) = foldl (λ l a, l.erase (f a)) (map f l₁) l₂ :=
by induction l₂ generalizing l₁; [refl,
simp only [foldl_cons, map_erase finj, *]]
@[simp] theorem count_erase_self (a : α) :
∀ (s : list α), count a (list.erase s a) = pred (count a s)
| [] := by simp
| (h :: t) :=
begin
rw erase_cons,
by_cases p : h = a,
{ rw [if_pos p, count_cons', if_pos p.symm], simp },
{ rw [if_neg p, count_cons', count_cons', if_neg (λ x : a = h, p x.symm), count_erase_self],
simp, }
end
@[simp] theorem count_erase_of_ne {a b : α} (ab : a ≠ b) :
∀ (s : list α), count a (list.erase s b) = count a s
| [] := by simp
| (x :: xs) :=
begin
rw erase_cons,
split_ifs with h,
{ rw [count_cons', h, if_neg ab], simp },
{ rw [count_cons', count_cons', count_erase_of_ne] }
end
end erase
/-! ### diff -/
section diff
variable [decidable_eq α]
@[simp] theorem diff_nil (l : list α) : l.diff [] = l := rfl
@[simp] theorem diff_cons (l₁ l₂ : list α) (a : α) : l₁.diff (a::l₂) = (l₁.erase a).diff l₂ :=
if h : a ∈ l₁ then by simp only [list.diff, if_pos h]
else by simp only [list.diff, if_neg h, erase_of_not_mem h]
@[simp] theorem nil_diff (l : list α) : [].diff l = [] :=
by induction l; [refl, simp only [*, diff_cons, erase_of_not_mem (not_mem_nil _)]]
theorem diff_eq_foldl : ∀ (l₁ l₂ : list α), l₁.diff l₂ = foldl list.erase l₁ l₂
| l₁ [] := rfl
| l₁ (a::l₂) := (diff_cons l₁ l₂ a).trans (diff_eq_foldl _ _)
@[simp] theorem diff_append (l₁ l₂ l₃ : list α) : l₁.diff (l₂ ++ l₃) = (l₁.diff l₂).diff l₃ :=
by simp only [diff_eq_foldl, foldl_append]
@[simp] theorem map_diff [decidable_eq β] {f : α → β} (finj : injective f) {l₁ l₂ : list α} :
map f (l₁.diff l₂) = (map f l₁).diff (map f l₂) :=
by simp only [diff_eq_foldl, foldl_map, map_foldl_erase finj]
theorem diff_sublist : ∀ l₁ l₂ : list α, l₁.diff l₂ <+ l₁
| l₁ [] := sublist.refl _
| l₁ (a::l₂) := calc l₁.diff (a :: l₂) = (l₁.erase a).diff l₂ : diff_cons _ _ _
... <+ l₁.erase a : diff_sublist _ _
... <+ l₁ : list.erase_sublist _ _
theorem diff_subset (l₁ l₂ : list α) : l₁.diff l₂ ⊆ l₁ :=
(diff_sublist _ _).subset
theorem mem_diff_of_mem {a : α} : ∀ {l₁ l₂ : list α}, a ∈ l₁ → a ∉ l₂ → a ∈ l₁.diff l₂
| l₁ [] h₁ h₂ := h₁
| l₁ (b::l₂) h₁ h₂ := by rw diff_cons; exact
mem_diff_of_mem ((mem_erase_of_ne (ne_of_not_mem_cons h₂)).2 h₁) (not_mem_of_not_mem_cons h₂)
theorem sublist.diff_right : ∀ {l₁ l₂ l₃: list α}, l₁ <+ l₂ → l₁.diff l₃ <+ l₂.diff l₃
| l₁ l₂ [] h := h
| l₁ l₂ (a::l₃) h := by simp only
[diff_cons, (h.erase _).diff_right]
theorem erase_diff_erase_sublist_of_sublist {a : α} : ∀ {l₁ l₂ : list α},
l₁ <+ l₂ → (l₂.erase a).diff (l₁.erase a) <+ l₂.diff l₁
| [] l₂ h := erase_sublist _ _
| (b::l₁) l₂ h := if heq : b = a then by simp only [heq, erase_cons_head, diff_cons]
else by simpa only [erase_cons_head, erase_cons_tail _ heq, diff_cons,
erase_comm a b l₂]
using erase_diff_erase_sublist_of_sublist (h.erase b)
end diff
/-! ### enum -/
theorem length_enum_from : ∀ n (l : list α), length (enum_from n l) = length l
| n [] := rfl
| n (a::l) := congr_arg nat.succ (length_enum_from _ _)
theorem length_enum : ∀ (l : list α), length (enum l) = length l := length_enum_from _
@[simp] theorem enum_from_nth : ∀ n (l : list α) m,
nth (enum_from n l) m = (λ a, (n + m, a)) <$> nth l m
| n [] m := rfl
| n (a :: l) 0 := rfl
| n (a :: l) (m+1) := (enum_from_nth (n+1) l m).trans $
by rw [add_right_comm]; refl
@[simp] theorem enum_nth : ∀ (l : list α) n,
nth (enum l) n = (λ a, (n, a)) <$> nth l n :=
by simp only [enum, enum_from_nth, zero_add]; intros; refl
@[simp] theorem enum_from_map_snd : ∀ n (l : list α),
map prod.snd (enum_from n l) = l
| n [] := rfl
| n (a :: l) := congr_arg (cons _) (enum_from_map_snd _ _)
@[simp] theorem enum_map_snd : ∀ (l : list α),
map prod.snd (enum l) = l := enum_from_map_snd _
theorem mem_enum_from {x : α} {i : ℕ} :
∀ {j : ℕ} (xs : list α), (i, x) ∈ xs.enum_from j → j ≤ i ∧ i < j + xs.length ∧ x ∈ xs
| j [] := by simp [enum_from]
| j (y :: ys) :=
suffices i = j ∧ x = y ∨ (i, x) ∈ enum_from (j + 1) ys →
j ≤ i ∧ i < j + (length ys + 1) ∧ (x = y ∨ x ∈ ys),
by simpa [enum_from, mem_enum_from ys],
begin
rintro (h|h),
{ refine ⟨le_of_eq h.1.symm,h.1 ▸ _,or.inl h.2⟩,
apply nat.lt_add_of_pos_right; simp },
{ obtain ⟨hji, hijlen, hmem⟩ := mem_enum_from _ h,
refine ⟨_, _, _⟩,
{ exact le_trans (nat.le_succ _) hji },
{ convert hijlen using 1, ac_refl },
{ simp [hmem] } }
end
/-! ### product -/
@[simp] theorem nil_product (l : list β) : product (@nil α) l = [] := rfl
@[simp] theorem product_cons (a : α) (l₁ : list α) (l₂ : list β)
: product (a::l₁) l₂ = map (λ b, (a, b)) l₂ ++ product l₁ l₂ := rfl
@[simp] theorem product_nil : ∀ (l : list α), product l (@nil β) = []
| [] := rfl
| (a::l) := by rw [product_cons, product_nil]; refl
@[simp] theorem mem_product {l₁ : list α} {l₂ : list β} {a : α} {b : β} :
(a, b) ∈ product l₁ l₂ ↔ a ∈ l₁ ∧ b ∈ l₂ :=
by simp only [product, mem_bind, mem_map, prod.ext_iff, exists_prop,
and.left_comm, exists_and_distrib_left, exists_eq_left, exists_eq_right]
theorem length_product (l₁ : list α) (l₂ : list β) :
length (product l₁ l₂) = length l₁ * length l₂ :=
by induction l₁ with x l₁ IH; [exact (zero_mul _).symm,
simp only [length, product_cons, length_append, IH,
right_distrib, one_mul, length_map, add_comm]]
/-! ### sigma -/
section
variable {σ : α → Type*}
@[simp] theorem nil_sigma (l : Π a, list (σ a)) : (@nil α).sigma l = [] := rfl
@[simp] theorem sigma_cons (a : α) (l₁ : list α) (l₂ : Π a, list (σ a))
: (a::l₁).sigma l₂ = map (sigma.mk a) (l₂ a) ++ l₁.sigma l₂ := rfl
@[simp] theorem sigma_nil : ∀ (l : list α), l.sigma (λ a, @nil (σ a)) = []
| [] := rfl
| (a::l) := by rw [sigma_cons, sigma_nil]; refl
@[simp] theorem mem_sigma {l₁ : list α} {l₂ : Π a, list (σ a)} {a : α} {b : σ a} :
sigma.mk a b ∈ l₁.sigma l₂ ↔ a ∈ l₁ ∧ b ∈ l₂ a :=
by simp only [list.sigma, mem_bind, mem_map, exists_prop, exists_and_distrib_left,
and.left_comm, exists_eq_left, heq_iff_eq, exists_eq_right]
theorem length_sigma (l₁ : list α) (l₂ : Π a, list (σ a)) :
length (l₁.sigma l₂) = (l₁.map (λ a, length (l₂ a))).sum :=
by induction l₁ with x l₁ IH; [refl,
simp only [map, sigma_cons, length_append, length_map, IH, sum_cons]]
end
/-! ### disjoint -/
section disjoint
theorem disjoint.symm {l₁ l₂ : list α} (d : disjoint l₁ l₂) : disjoint l₂ l₁
| a i₂ i₁ := d i₁ i₂
theorem disjoint_comm {l₁ l₂ : list α} : disjoint l₁ l₂ ↔ disjoint l₂ l₁ :=
⟨disjoint.symm, disjoint.symm⟩
theorem disjoint_left {l₁ l₂ : list α} : disjoint l₁ l₂ ↔ ∀ {a}, a ∈ l₁ → a ∉ l₂ := iff.rfl
theorem disjoint_right {l₁ l₂ : list α} : disjoint l₁ l₂ ↔ ∀ {a}, a ∈ l₂ → a ∉ l₁ :=
disjoint_comm
theorem disjoint_iff_ne {l₁ l₂ : list α} : disjoint l₁ l₂ ↔ ∀ a ∈ l₁, ∀ b ∈ l₂, a ≠ b :=
by simp only [disjoint_left, imp_not_comm, forall_eq']
theorem disjoint_of_subset_left {l₁ l₂ l : list α} (ss : l₁ ⊆ l) (d : disjoint l l₂) :
disjoint l₁ l₂
| x m₁ := d (ss m₁)
theorem disjoint_of_subset_right {l₁ l₂ l : list α} (ss : l₂ ⊆ l) (d : disjoint l₁ l) :
disjoint l₁ l₂
| x m m₁ := d m (ss m₁)
theorem disjoint_of_disjoint_cons_left {a : α} {l₁ l₂} : disjoint (a::l₁) l₂ → disjoint l₁ l₂ :=
disjoint_of_subset_left (list.subset_cons _ _)
theorem disjoint_of_disjoint_cons_right {a : α} {l₁ l₂} : disjoint l₁ (a::l₂) → disjoint l₁ l₂ :=
disjoint_of_subset_right (list.subset_cons _ _)
@[simp] theorem disjoint_nil_left (l : list α) : disjoint [] l
| a := (not_mem_nil a).elim
@[simp] theorem disjoint_nil_right (l : list α) : disjoint l [] :=
by rw disjoint_comm; exact disjoint_nil_left _
@[simp, priority 1100] theorem singleton_disjoint {l : list α} {a : α} : disjoint [a] l ↔ a ∉ l :=
by simp only [disjoint, mem_singleton, forall_eq]; refl
@[simp, priority 1100] theorem disjoint_singleton {l : list α} {a : α} : disjoint l [a] ↔ a ∉ l :=
by rw disjoint_comm; simp only [singleton_disjoint]
@[simp] theorem disjoint_append_left {l₁ l₂ l : list α} :
disjoint (l₁++l₂) l ↔ disjoint l₁ l ∧ disjoint l₂ l :=
by simp only [disjoint, mem_append, or_imp_distrib, forall_and_distrib]
@[simp] theorem disjoint_append_right {l₁ l₂ l : list α} :
disjoint l (l₁++l₂) ↔ disjoint l l₁ ∧ disjoint l l₂ :=
disjoint_comm.trans $ by simp only [disjoint_comm, disjoint_append_left]
@[simp] theorem disjoint_cons_left {a : α} {l₁ l₂ : list α} :
disjoint (a::l₁) l₂ ↔ a ∉ l₂ ∧ disjoint l₁ l₂ :=
(@disjoint_append_left _ [a] l₁ l₂).trans $ by simp only [singleton_disjoint]
@[simp] theorem disjoint_cons_right {a : α} {l₁ l₂ : list α} :
disjoint l₁ (a::l₂) ↔ a ∉ l₁ ∧ disjoint l₁ l₂ :=
disjoint_comm.trans $ by simp only [disjoint_comm, disjoint_cons_left]
theorem disjoint_of_disjoint_append_left_left {l₁ l₂ l : list α} (d : disjoint (l₁++l₂) l) :
disjoint l₁ l :=
(disjoint_append_left.1 d).1
theorem disjoint_of_disjoint_append_left_right {l₁ l₂ l : list α} (d : disjoint (l₁++l₂) l) :
disjoint l₂ l :=
(disjoint_append_left.1 d).2
theorem disjoint_of_disjoint_append_right_left {l₁ l₂ l : list α} (d : disjoint l (l₁++l₂)) :
disjoint l l₁ :=
(disjoint_append_right.1 d).1
theorem disjoint_of_disjoint_append_right_right {l₁ l₂ l : list α} (d : disjoint l (l₁++l₂)) :
disjoint l l₂ :=
(disjoint_append_right.1 d).2
end disjoint
/-! ### union -/
section union
variable [decidable_eq α]
@[simp] theorem nil_union (l : list α) : [] ∪ l = l := rfl
@[simp] theorem cons_union (l₁ l₂ : list α) (a : α) : a :: l₁ ∪ l₂ = insert a (l₁ ∪ l₂) := rfl
@[simp] theorem mem_union {l₁ l₂ : list α} {a : α} : a ∈ l₁ ∪ l₂ ↔ a ∈ l₁ ∨ a ∈ l₂ :=
by induction l₁; simp only [nil_union, not_mem_nil, false_or, cons_union, mem_insert_iff,
mem_cons_iff, or_assoc, *]
theorem mem_union_left {a : α} {l₁ : list α} (h : a ∈ l₁) (l₂ : list α) : a ∈ l₁ ∪ l₂ :=
mem_union.2 (or.inl h)
theorem mem_union_right {a : α} (l₁ : list α) {l₂ : list α} (h : a ∈ l₂) : a ∈ l₁ ∪ l₂ :=
mem_union.2 (or.inr h)
theorem sublist_suffix_of_union : ∀ l₁ l₂ : list α, ∃ t, t <+ l₁ ∧ t ++ l₂ = l₁ ∪ l₂
| [] l₂ := ⟨[], by refl, rfl⟩
| (a::l₁) l₂ := let ⟨t, s, e⟩ := sublist_suffix_of_union l₁ l₂ in
if h : a ∈ l₁ ∪ l₂
then ⟨t, sublist_cons_of_sublist _ s, by simp only [e, cons_union, insert_of_mem h]⟩
else ⟨a::t, cons_sublist_cons _ s, by simp only [cons_append, cons_union, e, insert_of_not_mem h];
split; refl⟩
theorem suffix_union_right (l₁ l₂ : list α) : l₂ <:+ l₁ ∪ l₂ :=
(sublist_suffix_of_union l₁ l₂).imp (λ a, and.right)
theorem union_sublist_append (l₁ l₂ : list α) : l₁ ∪ l₂ <+ l₁ ++ l₂ :=
let ⟨t, s, e⟩ := sublist_suffix_of_union l₁ l₂ in
e ▸ (append_sublist_append_right _).2 s
theorem forall_mem_union {p : α → Prop} {l₁ l₂ : list α} :
(∀ x ∈ l₁ ∪ l₂, p x) ↔ (∀ x ∈ l₁, p x) ∧ (∀ x ∈ l₂, p x) :=
by simp only [mem_union, or_imp_distrib, forall_and_distrib]
theorem forall_mem_of_forall_mem_union_left {p : α → Prop} {l₁ l₂ : list α}
(h : ∀ x ∈ l₁ ∪ l₂, p x) : ∀ x ∈ l₁, p x :=
(forall_mem_union.1 h).1
theorem forall_mem_of_forall_mem_union_right {p : α → Prop} {l₁ l₂ : list α}
(h : ∀ x ∈ l₁ ∪ l₂, p x) : ∀ x ∈ l₂, p x :=
(forall_mem_union.1 h).2
end union
/-! ### inter -/
section inter
variable [decidable_eq α]
@[simp] theorem inter_nil (l : list α) : [] ∩ l = [] := rfl
@[simp] theorem inter_cons_of_mem {a : α} (l₁ : list α) {l₂ : list α} (h : a ∈ l₂) :
(a::l₁) ∩ l₂ = a :: (l₁ ∩ l₂) :=
if_pos h
@[simp] theorem inter_cons_of_not_mem {a : α} (l₁ : list α) {l₂ : list α} (h : a ∉ l₂) :
(a::l₁) ∩ l₂ = l₁ ∩ l₂ :=
if_neg h
theorem mem_of_mem_inter_left {l₁ l₂ : list α} {a : α} : a ∈ l₁ ∩ l₂ → a ∈ l₁ :=
mem_of_mem_filter
theorem mem_of_mem_inter_right {l₁ l₂ : list α} {a : α} : a ∈ l₁ ∩ l₂ → a ∈ l₂ :=
of_mem_filter
theorem mem_inter_of_mem_of_mem {l₁ l₂ : list α} {a : α} : a ∈ l₁ → a ∈ l₂ → a ∈ l₁ ∩ l₂ :=
mem_filter_of_mem
@[simp] theorem mem_inter {a : α} {l₁ l₂ : list α} : a ∈ l₁ ∩ l₂ ↔ a ∈ l₁ ∧ a ∈ l₂ :=
mem_filter
theorem inter_subset_left (l₁ l₂ : list α) : l₁ ∩ l₂ ⊆ l₁ :=
filter_subset _
theorem inter_subset_right (l₁ l₂ : list α) : l₁ ∩ l₂ ⊆ l₂ :=
λ a, mem_of_mem_inter_right
theorem subset_inter {l l₁ l₂ : list α} (h₁ : l ⊆ l₁) (h₂ : l ⊆ l₂) : l ⊆ l₁ ∩ l₂ :=
λ a h, mem_inter.2 ⟨h₁ h, h₂ h⟩
theorem inter_eq_nil_iff_disjoint {l₁ l₂ : list α} : l₁ ∩ l₂ = [] ↔ disjoint l₁ l₂ :=
by simp only [eq_nil_iff_forall_not_mem, mem_inter, not_and]; refl
theorem forall_mem_inter_of_forall_left {p : α → Prop} {l₁ : list α} (h : ∀ x ∈ l₁, p x)
(l₂ : list α) :
∀ x, x ∈ l₁ ∩ l₂ → p x :=
ball.imp_left (λ x, mem_of_mem_inter_left) h
theorem forall_mem_inter_of_forall_right {p : α → Prop} (l₁ : list α) {l₂ : list α}
(h : ∀ x ∈ l₂, p x) :
∀ x, x ∈ l₁ ∩ l₂ → p x :=
ball.imp_left (λ x, mem_of_mem_inter_right) h
end inter
section choose
variables (p : α → Prop) [decidable_pred p] (l : list α)
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
-- A jumble of lost lemmas:
theorem ilast'_mem : ∀ a l, @ilast' α a l ∈ a :: l
| a [] := or.inl rfl
| a (b::l) := or.inr (ilast'_mem b l)
@[simp] lemma nth_le_attach (L : list α) (i) (H : i < L.attach.length) :
(L.attach.nth_le i H).1 = L.nth_le i (length_attach L ▸ H) :=
calc (L.attach.nth_le i H).1
= (L.attach.map subtype.val).nth_le i (by simpa using H) : by rw nth_le_map'
... = L.nth_le i _ : by congr; apply attach_map_val
end list
@[to_additive]
theorem monoid_hom.map_list_prod {α β : Type*} [monoid α] [monoid β] (f : α →* β) (l : list α) :
f l.prod = (l.map f).prod :=
(l.prod_hom f).symm
namespace list
@[to_additive]
theorem prod_map_hom {α β γ : Type*} [monoid β] [monoid γ] (L : list α) (f : α → β) (g : β →* γ) :
(L.map (g ∘ f)).prod = g ((L.map f).prod) :=
by {rw g.map_list_prod, exact congr_arg _ (map_map _ _ _).symm}
theorem sum_map_mul_left {α : Type*} [semiring α] {β : Type*} (L : list β)
(f : β → α) (r : α) :
(L.map (λ b, r * f b)).sum = r * (L.map f).sum :=
sum_map_hom L f $ add_monoid_hom.mul_left r
theorem sum_map_mul_right {α : Type*} [semiring α] {β : Type*} (L : list β)
(f : β → α) (r : α) :
(L.map (λ b, f b * r)).sum = (L.map f).sum * r :=
sum_map_hom L f $ add_monoid_hom.mul_right r
end list
|
e74c3c6d26797cc97cc390a3999dc96dd63fd690 | 86f6f4f8d827a196a32bfc646234b73328aeb306 | /examples/logic/unnamed_1636.lean | 76e5940c1cd6268d5ec05e92b2dfbab8cd251663 | [] | 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 | 430 | lean | import data.real.basic
import data.nat.prime
open nat
-- BEGIN
example : ∃ x : ℝ, 2 < x ∧ x < 4 :=
begin
use 5 / 2,
split; norm_num
end
example : ∃ m n : ℕ,
4 < m ∧ m < n ∧ n < 10 ∧ prime m ∧ prime n :=
begin
use [5, 7],
norm_num
end
example {x y : ℝ} : x ≤ y ∧ x ≠ y → x ≤ y ∧ ¬ y ≤ x :=
begin
rintros ⟨h₀, h₁⟩,
use [h₀, λ h', h₁ (le_antisymm h₀ h')]
end
-- END |
19b05bf9b41c56261649c2f493ce2bee567f8206 | 6432ea7a083ff6ba21ea17af9ee47b9c371760f7 | /tests/lean/1113.lean | f4036fd1e3a3b18caf3c6efb956ec7a3ce24f9b1 | [
"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 | 334 | lean | def foo: {n: Nat} → Fin n → Nat
| 0, _ => 0
| n+1, _ => 0
theorem t3 {f: Fin (n+1)}:
foo f = 0 := by
simp only [←Nat.succ_eq_add_one n] at f
trace_state
simp only [←Nat.succ_eq_add_one n, foo]
example {n: Nat} {f: Fin (n+1)}:
foo f = 0 := by
revert f
rw[←Nat.succ_eq_add_one n]
intro f
simp only [foo]
|
374ba35e4bb84ddfb7dd40d6fcf4344415af8a88 | 7cef822f3b952965621309e88eadf618da0c8ae9 | /src/order/bounded_lattice.lean | 14fd9cd67bfc4427f3bff4ca16b30d4b047d4172 | [
"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 | 29,323 | lean | /-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl
Defines bounded lattice type class hierarchy.
Includes the Prop and fun instances.
-/
import order.lattice data.option.basic
tactic.pi_instances
set_option old_structure_cmd true
universes u v
namespace lattice
variable {α : Type u}
/-- Typeclass for the `⊤` (`\top`) notation -/
class has_top (α : Type u) := (top : α)
/-- Typeclass for the `⊥` (`\bot`) notation -/
class has_bot (α : Type u) := (bot : α)
notation `⊤` := has_top.top _
notation `⊥` := has_bot.bot _
section prio
set_option default_priority 100 -- see Note [default priority]
/-- An `order_top` is a partial order with a maximal element.
(We could state this on preorders, but then it wouldn't be unique
so distinguishing one would seem odd.) -/
class order_top (α : Type u) extends has_top α, partial_order α :=
(le_top : ∀ a : α, a ≤ ⊤)
end prio
section order_top
variables [order_top α] {a b : α}
@[simp] theorem le_top : a ≤ ⊤ :=
order_top.le_top a
theorem top_unique (h : ⊤ ≤ a) : a = ⊤ :=
le_antisymm le_top h
-- TODO: delete in favor of the next?
theorem eq_top_iff : a = ⊤ ↔ ⊤ ≤ a :=
⟨assume eq, eq.symm ▸ le_refl ⊤, top_unique⟩
@[simp] theorem top_le_iff : ⊤ ≤ a ↔ a = ⊤ :=
⟨top_unique, λ h, h.symm ▸ le_refl ⊤⟩
@[simp] theorem not_top_lt : ¬ ⊤ < a :=
assume h, lt_irrefl a (lt_of_le_of_lt le_top h)
theorem eq_top_mono (h : a ≤ b) (h₂ : a = ⊤) : b = ⊤ :=
top_le_iff.1 $ h₂ ▸ h
lemma lt_top_iff_ne_top : a < ⊤ ↔ a ≠ ⊤ :=
begin
haveI := classical.dec_eq α,
haveI : decidable (⊤ ≤ a) := decidable_of_iff' _ top_le_iff,
by simp [-top_le_iff, lt_iff_le_not_le, not_iff_not.2 (@top_le_iff _ _ a)]
end
lemma ne_top_of_lt (h : a < b) : a ≠ ⊤ :=
lt_top_iff_ne_top.1 $ lt_of_lt_of_le h le_top
end order_top
theorem order_top.ext_top {α} {A B : order_top α}
(H : ∀ x y : α, (by haveI := A; exact x ≤ y) ↔ x ≤ y) :
(by haveI := A; exact ⊤ : α) = ⊤ :=
top_unique $ by rw ← H; apply le_top
theorem order_top.ext {α} {A B : order_top α}
(H : ∀ x y : α, (by haveI := A; exact x ≤ y) ↔ x ≤ y) : A = B :=
begin
haveI this := partial_order.ext H,
have tt := order_top.ext_top H,
cases A; cases B; injection this; congr'
end
section prio
set_option default_priority 100 -- see Note [default priority]
/-- An `order_bot` is a partial order with a minimal element.
(We could state this on preorders, but then it wouldn't be unique
so distinguishing one would seem odd.) -/
class order_bot (α : Type u) extends has_bot α, partial_order α :=
(bot_le : ∀ a : α, ⊥ ≤ a)
end prio
section order_bot
variables [order_bot α] {a b : α}
@[simp] theorem bot_le : ⊥ ≤ a := order_bot.bot_le a
theorem bot_unique (h : a ≤ ⊥) : a = ⊥ :=
le_antisymm h bot_le
-- TODO: delete?
theorem eq_bot_iff : a = ⊥ ↔ a ≤ ⊥ :=
⟨assume eq, eq.symm ▸ le_refl ⊥, bot_unique⟩
@[simp] theorem le_bot_iff : a ≤ ⊥ ↔ a = ⊥ :=
⟨bot_unique, assume h, h.symm ▸ le_refl ⊥⟩
@[simp] theorem not_lt_bot : ¬ a < ⊥ :=
assume h, lt_irrefl a (lt_of_lt_of_le h bot_le)
theorem neq_bot_of_le_neq_bot {a b : α} (hb : b ≠ ⊥) (hab : b ≤ a) : a ≠ ⊥ :=
assume ha, hb $ bot_unique $ ha ▸ hab
theorem eq_bot_mono (h : a ≤ b) (h₂ : b = ⊥) : a = ⊥ :=
le_bot_iff.1 $ h₂ ▸ h
lemma bot_lt_iff_ne_bot : ⊥ < a ↔ a ≠ ⊥ :=
begin
haveI := classical.dec_eq α,
haveI : decidable (a ≤ ⊥) := decidable_of_iff' _ le_bot_iff,
simp [-le_bot_iff, lt_iff_le_not_le, not_iff_not.2 (@le_bot_iff _ _ a)]
end
lemma ne_bot_of_gt (h : a < b) : b ≠ ⊥ :=
bot_lt_iff_ne_bot.1 $ lt_of_le_of_lt bot_le h
end order_bot
theorem order_bot.ext_bot {α} {A B : order_bot α}
(H : ∀ x y : α, (by haveI := A; exact x ≤ y) ↔ x ≤ y) :
(by haveI := A; exact ⊥ : α) = ⊥ :=
bot_unique $ by rw ← H; apply bot_le
theorem order_bot.ext {α} {A B : order_bot α}
(H : ∀ x y : α, (by haveI := A; exact x ≤ y) ↔ x ≤ y) : A = B :=
begin
haveI this := partial_order.ext H,
have tt := order_bot.ext_bot H,
cases A; cases B; injection this; congr'
end
section prio
set_option default_priority 100 -- see Note [default priority]
/-- A `semilattice_sup_top` is a semilattice with top and join. -/
class semilattice_sup_top (α : Type u) extends order_top α, semilattice_sup α
end prio
section semilattice_sup_top
variables [semilattice_sup_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 prio
set_option default_priority 100 -- see Note [default priority]
/-- A `semilattice_sup_bot` is a semilattice with bottom and join. -/
class semilattice_sup_bot (α : Type u) extends order_bot α, semilattice_sup α
end prio
section semilattice_sup_bot
variables [semilattice_sup_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
instance nat.semilattice_sup_bot : semilattice_sup_bot ℕ :=
{ bot := 0, bot_le := nat.zero_le, .. nat.distrib_lattice }
private def bot_aux (s : set ℕ) [decidable_pred s] [h : nonempty s] : s :=
have ∃ x, x ∈ s, from nonempty.elim h (λ x, ⟨x.1, x.2⟩),
⟨nat.find this, nat.find_spec this⟩
instance nat.subtype.semilattice_sup_bot (s : set ℕ) [decidable_pred s] [h : nonempty s] :
semilattice_sup_bot s :=
{ bot := bot_aux s,
bot_le := λ x, nat.find_min' _ x.2,
..subtype.linear_order s,
..lattice.lattice_of_decidable_linear_order }
section prio
set_option default_priority 100 -- see Note [default priority]
/-- A `semilattice_inf_top` is a semilattice with top and meet. -/
class semilattice_inf_top (α : Type u) extends order_top α, semilattice_inf α
end prio
section semilattice_inf_top
variables [semilattice_inf_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 = ⊤) :=
by rw [eq_top_iff, le_inf_iff]; simp
end semilattice_inf_top
section prio
set_option default_priority 100 -- see Note [default priority]
/-- A `semilattice_inf_bot` is a semilattice with bottom and meet. -/
class semilattice_inf_bot (α : Type u) extends order_bot α, semilattice_inf α
end prio
section semilattice_inf_bot
variables [semilattice_inf_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 lattices -/
section prio
set_option default_priority 100 -- see Note [default priority]
/-- A bounded lattice is a lattice with a top and bottom element,
denoted `⊤` and `⊥` respectively. This allows for the interpretation
of all finite suprema and infima, taking `inf ∅ = ⊤` and `sup ∅ = ⊥`. -/
class bounded_lattice (α : Type u) extends lattice α, order_top α, order_bot α
end prio
@[priority 100] -- see Note [lower instance priority]
instance semilattice_inf_top_of_bounded_lattice (α : Type u) [bl : bounded_lattice α] : semilattice_inf_top α :=
{ le_top := assume x, @le_top α _ x, ..bl }
@[priority 100] -- see Note [lower instance priority]
instance semilattice_inf_bot_of_bounded_lattice (α : Type u) [bl : bounded_lattice α] : semilattice_inf_bot α :=
{ bot_le := assume x, @bot_le α _ x, ..bl }
@[priority 100] -- see Note [lower instance priority]
instance semilattice_sup_top_of_bounded_lattice (α : Type u) [bl : bounded_lattice α] : semilattice_sup_top α :=
{ le_top := assume x, @le_top α _ x, ..bl }
@[priority 100] -- see Note [lower instance priority]
instance semilattice_sup_bot_of_bounded_lattice (α : Type u) [bl : bounded_lattice α] : semilattice_sup_bot α :=
{ bot_le := assume x, @bot_le α _ x, ..bl }
theorem bounded_lattice.ext {α} {A B : bounded_lattice α}
(H : ∀ x y : α, (by haveI := A; exact x ≤ y) ↔ x ≤ y) : A = B :=
begin
haveI H1 : @bounded_lattice.to_lattice α A =
@bounded_lattice.to_lattice α B := lattice.ext H,
haveI H2 := order_bot.ext H,
haveI H3 : @bounded_lattice.to_order_top α A =
@bounded_lattice.to_order_top α B := order_top.ext H,
have tt := order_bot.ext_bot H,
cases A; cases B; injection H1; injection H2; injection H3; congr'
end
section prio
set_option default_priority 100 -- see Note [default priority]
/-- A bounded distributive lattice is exactly what it sounds like. -/
class bounded_distrib_lattice α extends distrib_lattice α, bounded_lattice α
end prio
lemma inf_eq_bot_iff_le_compl {α : Type u} [bounded_distrib_lattice α] {a b c : α}
(h₁ : b ⊔ c = ⊤) (h₂ : b ⊓ c = ⊥) : a ⊓ b = ⊥ ↔ a ≤ c :=
⟨assume : a ⊓ b = ⊥,
calc a ≤ a ⊓ (b ⊔ c) : by simp [h₁]
... = (a ⊓ b) ⊔ (a ⊓ c) : by simp [inf_sup_left]
... ≤ c : by simp [this, inf_le_right],
assume : a ≤ c,
bot_unique $
calc a ⊓ b ≤ b ⊓ c : by rw [inf_comm]; exact inf_le_inf (le_refl _) this
... = ⊥ : h₂⟩
/- Prop instance -/
instance bounded_lattice_Prop : bounded_lattice Prop :=
{ lattice.bounded_lattice .
le := λa b, a → b,
le_refl := assume _, id,
le_trans := assume a b c f g, g ∘ f,
le_antisymm := assume a b Hab Hba, propext ⟨Hab, Hba⟩,
sup := or,
le_sup_left := @or.inl,
le_sup_right := @or.inr,
sup_le := assume a b c, or.rec,
inf := and,
inf_le_left := @and.left,
inf_le_right := @and.right,
le_inf := assume a b c Hab Hac Ha, and.intro (Hab Ha) (Hac Ha),
top := true,
le_top := assume a Ha, true.intro,
bot := false,
bot_le := @false.elim }
section logic
variable [preorder α]
theorem monotone_and {p q : α → Prop} (m_p : monotone p) (m_q : monotone q) :
monotone (λx, p x ∧ q x) :=
assume 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 (λx, p x ∨ q x) :=
assume a b h, or.imp (m_p h) (m_q h)
end logic
/- Function lattices -/
/- TODO:
* build up the lattice hierarchy for `fun`-functor piecewise. semilattic_*, bounded_lattice, lattice ...
* can this be generalized to the dependent function space?
-/
instance pi.bounded_lattice {α : Type u} {β : Type v} [bounded_lattice β] :
bounded_lattice (α → β) :=
by pi_instance
end lattice
def with_bot (α : Type*) := option α
namespace with_bot
variable {α : Type u}
open lattice
meta instance {α} [has_to_format α] : has_to_format (with_bot α) :=
{ to_format := λ x,
match x with
| none := "⊥"
| (some x) := to_fmt x
end }
instance : has_coe_t α (with_bot α) := ⟨some⟩
instance has_bot : has_bot (with_bot α) := ⟨none⟩
lemma none_eq_bot : (none : with_bot α) = (⊥ : with_bot α) := rfl
lemma some_eq_coe (a : α) : (some a : with_bot α) = (↑a : with_bot α) := rfl
theorem coe_eq_coe {a b : α} : (a : with_bot α) = b ↔ a = b :=
by rw [← option.some.inj_eq a b]; refl
@[priority 10]
instance has_lt [has_lt α] : has_lt (with_bot α) :=
{ lt := λ o₁ o₂ : option α, ∃ b ∈ o₂, ∀ a ∈ o₁, a < b }
@[simp] theorem some_lt_some [has_lt α] {a b : α} :
@has_lt.lt (with_bot α) _ (some a) (some b) ↔ a < b :=
by simp [(<)]
instance [preorder α] : preorder (with_bot α) :=
{ le := λ o₁ o₂ : option α, ∀ a ∈ o₁, ∃ b ∈ o₂, a ≤ b,
lt := (<),
lt_iff_le_not_le := by intros; cases a; cases b;
simp [lt_iff_le_not_le]; simp [(<)];
split; refl,
le_refl := λ o a ha, ⟨a, ha, le_refl _⟩,
le_trans := λ o₁ o₂ o₃ h₁ h₂ a ha,
let ⟨b, hb, ab⟩ := h₁ a ha, ⟨c, hc, bc⟩ := h₂ b hb in
⟨c, hc, le_trans ab bc⟩ }
instance partial_order [partial_order α] : partial_order (with_bot α) :=
{ le_antisymm := λ o₁ o₂ h₁ h₂, begin
cases o₁ with a,
{ cases o₂ with b, {refl},
rcases h₂ b rfl with ⟨_, ⟨⟩, _⟩ },
{ rcases h₁ a rfl with ⟨b, ⟨⟩, h₁'⟩,
rcases h₂ b rfl with ⟨_, ⟨⟩, h₂'⟩,
rw le_antisymm h₁' h₂' }
end,
.. with_bot.preorder }
instance order_bot [partial_order α] : order_bot (with_bot α) :=
{ bot_le := λ a a' h, option.no_confusion h,
..with_bot.partial_order, ..with_bot.has_bot }
@[simp] theorem coe_le_coe [partial_order α] {a b : α} :
(a : with_bot α) ≤ b ↔ a ≤ b :=
⟨λ h, by rcases h a rfl with ⟨_, ⟨⟩, h⟩; exact h,
λ h a' e, option.some_inj.1 e ▸ ⟨b, rfl, h⟩⟩
@[simp] theorem some_le_some [partial_order α] {a b : α} :
@has_le.le (with_bot α) _ (some a) (some b) ↔ a ≤ b := coe_le_coe
theorem coe_le [partial_order α] {a b : α} :
∀ {o : option α}, b ∈ o → ((a : with_bot α) ≤ o ↔ a ≤ b)
| _ rfl := coe_le_coe
lemma coe_lt_coe [partial_order α] {a b : α} : (a : with_bot α) < b ↔ a < b := some_lt_some
lemma bot_lt_some [partial_order α] (a : α) : (⊥ : with_bot α) < some a :=
lt_of_le_of_ne bot_le (λ h, option.no_confusion h)
lemma bot_lt_coe [partial_order α] (a : α) : (⊥ : with_bot α) < a := bot_lt_some a
instance linear_order [linear_order α] : linear_order (with_bot α) :=
{ le_total := λ o₁ o₂, begin
cases o₁ with a, {exact or.inl bot_le},
cases o₂ with b, {exact or.inr bot_le},
simp [le_total]
end,
..with_bot.partial_order }
instance decidable_lt [has_lt α] [@decidable_rel α (<)] : @decidable_rel (with_bot α) (<)
| none (some x) := is_true $ by existsi [x,rfl]; rintros _ ⟨⟩
| (some x) (some y) :=
if h : x < y
then is_true $ by simp *
else is_false $ by simp *
| x none := is_false $ by rintro ⟨a,⟨⟨⟩⟩⟩
instance decidable_linear_order [decidable_linear_order α] : decidable_linear_order (with_bot α) :=
{ decidable_le := λ a b, begin
cases a with a,
{ exact is_true bot_le },
cases b with b,
{ exact is_false (mt (le_antisymm bot_le) (by simp)) },
{ exact decidable_of_iff _ some_le_some }
end,
..with_bot.linear_order }
instance semilattice_sup [semilattice_sup α] : semilattice_sup_bot (with_bot α) :=
{ sup := option.lift_or_get (⊔),
le_sup_left := λ o₁ o₂ a ha,
by cases ha; cases o₂; simp [option.lift_or_get],
le_sup_right := λ o₁ o₂ a ha,
by cases ha; cases o₁; simp [option.lift_or_get],
sup_le := λ o₁ o₂ o₃ h₁ h₂ a ha, begin
cases o₁ with b; cases o₂ with c; cases ha,
{ exact h₂ a rfl },
{ exact h₁ a rfl },
{ rcases h₁ b rfl with ⟨d, ⟨⟩, h₁'⟩,
simp at h₂,
exact ⟨d, rfl, sup_le h₁' h₂⟩ }
end,
..with_bot.order_bot }
instance semilattice_inf [semilattice_inf α] : semilattice_inf_bot (with_bot α) :=
{ inf := λ o₁ o₂, o₁.bind (λ a, o₂.map (λ b, a ⊓ b)),
inf_le_left := λ o₁ o₂ a ha, begin
simp at ha, rcases ha with ⟨b, rfl, c, rfl, rfl⟩,
exact ⟨_, rfl, inf_le_left⟩
end,
inf_le_right := λ o₁ o₂ a ha, begin
simp at ha, rcases ha with ⟨b, rfl, c, rfl, rfl⟩,
exact ⟨_, rfl, inf_le_right⟩
end,
le_inf := λ o₁ o₂ o₃ h₁ h₂ a ha, begin
cases ha,
rcases h₁ a rfl with ⟨b, ⟨⟩, ab⟩,
rcases h₂ a rfl with ⟨c, ⟨⟩, ac⟩,
exact ⟨_, rfl, le_inf ab ac⟩
end,
..with_bot.order_bot }
instance lattice [lattice α] : lattice (with_bot α) :=
{ ..with_bot.semilattice_sup, ..with_bot.semilattice_inf }
theorem lattice_eq_DLO [decidable_linear_order α] :
lattice.lattice_of_decidable_linear_order = @with_bot.lattice α _ :=
lattice.ext $ λ x y, iff.rfl
theorem sup_eq_max [decidable_linear_order α] (x y : with_bot α) : x ⊔ y = max x y :=
by rw [← sup_eq_max, lattice_eq_DLO]
theorem inf_eq_min [decidable_linear_order α] (x y : with_bot α) : x ⊓ y = min x y :=
by rw [← inf_eq_min, lattice_eq_DLO]
instance order_top [order_top α] : order_top (with_bot α) :=
{ top := some ⊤,
le_top := λ o a ha, by cases ha; exact ⟨_, rfl, le_top⟩,
..with_bot.partial_order }
instance bounded_lattice [bounded_lattice α] : bounded_lattice (with_bot α) :=
{ ..with_bot.lattice, ..with_bot.order_top, ..with_bot.order_bot }
lemma well_founded_lt [partial_order α] (h : well_founded ((<) : α → α → Prop)) :
well_founded ((<) : with_bot α → with_bot α → Prop) :=
have acc_bot : acc ((<) : with_bot α → with_bot α → Prop) ⊥ :=
acc.intro _ (λ a ha, (not_le_of_gt ha bot_le).elim),
⟨λ a, option.rec_on a acc_bot (λ a, acc.intro _ (λ b, option.rec_on b (λ _, acc_bot)
(λ b, well_founded.induction h b
(show ∀ b : α, (∀ c, c < b → (c : with_bot α) < a →
acc ((<) : with_bot α → with_bot α → Prop) c) → (b : with_bot α) < a →
acc ((<) : with_bot α → with_bot α → Prop) b,
from λ b ih hba, acc.intro _ (λ c, option.rec_on c (λ _, acc_bot)
(λ c hc, ih _ (some_lt_some.1 hc) (lt_trans hc hba)))))))⟩
instance densely_ordered [partial_order α] [densely_ordered α] [no_bot_order α] :
densely_ordered (with_bot α) :=
⟨ assume a b,
match a, b with
| a, none := assume h : a < ⊥, (not_lt_bot h).elim
| none, some b := assume h, let ⟨a, ha⟩ := no_bot b in ⟨a, bot_lt_coe a, coe_lt_coe.2 ha⟩
| some a, some b := assume h, let ⟨a, ha₁, ha₂⟩ := dense (coe_lt_coe.1 h) in
⟨a, coe_lt_coe.2 ha₁, coe_lt_coe.2 ha₂⟩
end⟩
end with_bot
--TODO(Mario): Construct using order dual on with_bot
def with_top (α : Type*) := option α
namespace with_top
variable {α : Type u}
open lattice
meta instance {α} [has_to_format α] : has_to_format (with_top α) :=
{ to_format := λ x,
match x with
| none := "⊤"
| (some x) := to_fmt x
end }
instance : has_coe_t α (with_top α) := ⟨some⟩
instance has_top : has_top (with_top α) := ⟨none⟩
lemma none_eq_top : (none : with_top α) = (⊤ : with_top α) := rfl
lemma some_eq_coe (a : α) : (some a : with_top α) = (↑a : with_top α) := rfl
theorem coe_eq_coe {a b : α} : (a : with_top α) = b ↔ a = b :=
by rw [← option.some.inj_eq a b]; refl
@[simp] theorem top_ne_coe {a : α} : ⊤ ≠ (a : with_top α) .
@[simp] theorem coe_ne_top {a : α} : (a : with_top α) ≠ ⊤ .
@[priority 10]
instance has_lt [has_lt α] : has_lt (with_top α) :=
{ lt := λ o₁ o₂ : option α, ∃ b ∈ o₁, ∀ a ∈ o₂, b < a }
@[priority 10]
instance has_le [has_le α] : has_le (with_top α) :=
{ le := λ o₁ o₂ : option α, ∀ a ∈ o₂, ∃ b ∈ o₁, b ≤ a }
@[simp] theorem some_lt_some [has_lt α] {a b : α} :
@has_lt.lt (with_top α) _ (some a) (some b) ↔ a < b :=
by simp [(<)]
@[simp] theorem some_le_some [has_le α] {a b : α} :
@has_le.le (with_top α) _ (some a) (some b) ↔ a ≤ b :=
by simp [(≤)]
@[simp] theorem none_le [has_le α] {a : with_top α} :
@has_le.le (with_top α) _ a none :=
by simp [(≤)]
@[simp] theorem none_lt_some [has_lt α] {a : α} :
@has_lt.lt (with_top α) _ (some a) none :=
by simp [(<)]; existsi a; refl
instance [preorder α] : preorder (with_top α) :=
{ le := λ o₁ o₂ : option α, ∀ a ∈ o₂, ∃ b ∈ o₁, b ≤ a,
lt := (<),
lt_iff_le_not_le := by { intros; cases a; cases b;
simp [lt_iff_le_not_le]; simp [(<),(≤)] },
le_refl := λ o a ha, ⟨a, ha, le_refl _⟩,
le_trans := λ o₁ o₂ o₃ h₁ h₂ c hc,
let ⟨b, hb, bc⟩ := h₂ c hc, ⟨a, ha, ab⟩ := h₁ b hb in
⟨a, ha, le_trans ab bc⟩,
}
instance partial_order [partial_order α] : partial_order (with_top α) :=
{ le_antisymm := λ o₁ o₂ h₁ h₂, begin
cases o₂ with b,
{ cases o₁ with a, {refl},
rcases h₂ a rfl with ⟨_, ⟨⟩, _⟩ },
{ rcases h₁ b rfl with ⟨a, ⟨⟩, h₁'⟩,
rcases h₂ a rfl with ⟨_, ⟨⟩, h₂'⟩,
rw le_antisymm h₁' h₂' }
end,
.. with_top.preorder }
instance order_top [partial_order α] : order_top (with_top α) :=
{ le_top := λ a a' h, option.no_confusion h,
..with_top.partial_order, .. with_top.has_top }
@[simp] theorem coe_le_coe [partial_order α] {a b : α} :
(a : with_top α) ≤ b ↔ a ≤ b :=
⟨λ h, by rcases h b rfl with ⟨_, ⟨⟩, h⟩; exact h,
λ h a' e, option.some_inj.1 e ▸ ⟨a, rfl, h⟩⟩
theorem le_coe [partial_order α] {a b : α} :
∀ {o : option α}, a ∈ o →
(@has_le.le (with_top α) _ o b ↔ a ≤ b)
| _ rfl := coe_le_coe
theorem le_coe_iff [partial_order α] (b : α) : ∀(x : with_top α), x ≤ b ↔ (∃a:α, x = a ∧ a ≤ b)
| (some a) := by simp [some_eq_coe, coe_eq_coe]
| none := by simp [none_eq_top]
theorem coe_le_iff [partial_order α] (a : α) : ∀(x : with_top α), ↑a ≤ x ↔ (∀b:α, x = ↑b → a ≤ b)
| (some b) := by simp [some_eq_coe, coe_eq_coe]
| none := by simp [none_eq_top]
theorem lt_iff_exists_coe [partial_order α] : ∀(a b : with_top α), a < b ↔ (∃p:α, a = p ∧ ↑p < b)
| (some a) b := by simp [some_eq_coe, coe_eq_coe]
| none b := by simp [none_eq_top]
lemma coe_lt_coe [partial_order α] {a b : α} : (a : with_top α) < b ↔ a < b := some_lt_some
lemma coe_lt_top [partial_order α] (a : α) : (a : with_top α) < ⊤ :=
lt_of_le_of_ne le_top (λ h, option.no_confusion h)
lemma not_top_le_coe [partial_order α] (a : α) : ¬ (⊤:with_top α) ≤ ↑a :=
assume h, (lt_irrefl ⊤ (lt_of_le_of_lt h (coe_lt_top a))).elim
instance linear_order [linear_order α] : linear_order (with_top α) :=
{ le_total := λ o₁ o₂, begin
cases o₁ with a, {exact or.inr le_top},
cases o₂ with b, {exact or.inl le_top},
simp [le_total]
end,
..with_top.partial_order }
instance decidable_linear_order [decidable_linear_order α] : decidable_linear_order (with_top α) :=
{ decidable_le := λ a b, begin
cases b with b,
{ exact is_true le_top },
cases a with a,
{ exact is_false (mt (le_antisymm le_top) (by simp)) },
{ exact decidable_of_iff _ some_le_some }
end,
..with_top.linear_order }
instance semilattice_inf [semilattice_inf α] : semilattice_inf_top (with_top α) :=
{ inf := option.lift_or_get (⊓),
inf_le_left := λ o₁ o₂ a ha,
by cases ha; cases o₂; simp [option.lift_or_get],
inf_le_right := λ o₁ o₂ a ha,
by cases ha; cases o₁; simp [option.lift_or_get],
le_inf := λ o₁ o₂ o₃ h₁ h₂ a ha, begin
cases o₂ with b; cases o₃ with c; cases ha,
{ exact h₂ a rfl },
{ exact h₁ a rfl },
{ rcases h₁ b rfl with ⟨d, ⟨⟩, h₁'⟩,
simp at h₂,
exact ⟨d, rfl, le_inf h₁' h₂⟩ }
end,
..with_top.order_top }
lemma coe_inf [semilattice_inf α] (a b : α) : ((a ⊓ b : α) : with_top α) = a ⊓ b := rfl
instance semilattice_sup [semilattice_sup α] : semilattice_sup_top (with_top α) :=
{ sup := λ o₁ o₂, o₁.bind (λ a, o₂.map (λ b, a ⊔ b)),
le_sup_left := λ o₁ o₂ a ha, begin
simp at ha, rcases ha with ⟨b, rfl, c, rfl, rfl⟩,
exact ⟨_, rfl, le_sup_left⟩
end,
le_sup_right := λ o₁ o₂ a ha, begin
simp at ha, rcases ha with ⟨b, rfl, c, rfl, rfl⟩,
exact ⟨_, rfl, le_sup_right⟩
end,
sup_le := λ o₁ o₂ o₃ h₁ h₂ a ha, begin
cases ha,
rcases h₁ a rfl with ⟨b, ⟨⟩, ab⟩,
rcases h₂ a rfl with ⟨c, ⟨⟩, ac⟩,
exact ⟨_, rfl, sup_le ab ac⟩
end,
..with_top.order_top }
lemma coe_sup [semilattice_sup α] (a b : α) : ((a ⊔ b : α) : with_top α) = a ⊔ b := rfl
instance lattice [lattice α] : lattice (with_top α) :=
{ ..with_top.semilattice_sup, ..with_top.semilattice_inf }
theorem lattice_eq_DLO [decidable_linear_order α] :
lattice.lattice_of_decidable_linear_order = @with_top.lattice α _ :=
lattice.ext $ λ x y, iff.rfl
theorem sup_eq_max [decidable_linear_order α] (x y : with_top α) : x ⊔ y = max x y :=
by rw [← sup_eq_max, lattice_eq_DLO]
theorem inf_eq_min [decidable_linear_order α] (x y : with_top α) : x ⊓ y = min x y :=
by rw [← inf_eq_min, lattice_eq_DLO]
instance order_bot [order_bot α] : order_bot (with_top α) :=
{ bot := some ⊥,
bot_le := λ o a ha, by cases ha; exact ⟨_, rfl, bot_le⟩,
..with_top.partial_order }
instance bounded_lattice [bounded_lattice α] : bounded_lattice (with_top α) :=
{ ..with_top.lattice, ..with_top.order_top, ..with_top.order_bot }
lemma well_founded_lt {α : Type*} [partial_order α] (h : well_founded ((<) : α → α → Prop)) :
well_founded ((<) : with_top α → with_top α → Prop) :=
have acc_some : ∀ a : α, acc ((<) : with_top α → with_top α → Prop) (some a) :=
λ a, acc.intro _ (well_founded.induction h a
(show ∀ b, (∀ c, c < b → ∀ d : with_top α, d < some c → acc (<) d) →
∀ y : with_top α, y < some b → acc (<) y,
from λ b ih c, option.rec_on c (λ hc, (not_lt_of_ge lattice.le_top hc).elim)
(λ c hc, acc.intro _ (ih _ (some_lt_some.1 hc))))),
⟨λ a, option.rec_on a (acc.intro _ (λ y, option.rec_on y (λ h, (lt_irrefl _ h).elim)
(λ _ _, acc_some _))) acc_some⟩
instance densely_ordered [partial_order α] [densely_ordered α] [no_top_order α] :
densely_ordered (with_top α) :=
⟨ assume a b,
match a, b with
| none, a := assume h : ⊤ < a, (not_top_lt h).elim
| some a, none := assume h, let ⟨b, hb⟩ := no_top a in ⟨b, coe_lt_coe.2 hb, coe_lt_top b⟩
| some a, some b := assume h, let ⟨a, ha₁, ha₂⟩ := dense (coe_lt_coe.1 h) in
⟨a, coe_lt_coe.2 ha₁, coe_lt_coe.2 ha₂⟩
end⟩
end with_top
namespace order_dual
open lattice
variable (α : Type*)
instance [has_bot α] : has_top (order_dual α) := ⟨(⊥ : α)⟩
instance [has_top α] : has_bot (order_dual α) := ⟨(⊤ : α)⟩
instance [order_bot α] : order_top (order_dual α) :=
{ le_top := @bot_le α _,
.. order_dual.partial_order α, .. order_dual.lattice.has_top α }
instance [order_top α] : order_bot (order_dual α) :=
{ bot_le := @le_top α _,
.. order_dual.partial_order α, .. order_dual.lattice.has_bot α }
instance [semilattice_inf_bot α] : semilattice_sup_top (order_dual α) :=
{ .. order_dual.lattice.semilattice_sup α, .. order_dual.lattice.order_top α }
instance [semilattice_inf_top α] : semilattice_sup_bot (order_dual α) :=
{ .. order_dual.lattice.semilattice_sup α, .. order_dual.lattice.order_bot α }
instance [semilattice_sup_bot α] : semilattice_inf_top (order_dual α) :=
{ .. order_dual.lattice.semilattice_inf α, .. order_dual.lattice.order_top α }
instance [semilattice_sup_top α] : semilattice_inf_bot (order_dual α) :=
{ .. order_dual.lattice.semilattice_inf α, .. order_dual.lattice.order_bot α }
instance [bounded_lattice α] : bounded_lattice (order_dual α) :=
{ .. order_dual.lattice.lattice α, .. order_dual.lattice.order_top α, .. order_dual.lattice.order_bot α }
instance [bounded_distrib_lattice α] : bounded_distrib_lattice (order_dual α) :=
{ .. order_dual.lattice.bounded_lattice α, .. order_dual.lattice.distrib_lattice α }
end order_dual
namespace prod
open lattice
variables (α : Type u) (β : Type v)
instance [has_top α] [has_top β] : has_top (α × β) := ⟨⟨⊤, ⊤⟩⟩
instance [has_bot α] [has_bot β] : has_bot (α × β) := ⟨⟨⊥, ⊥⟩⟩
instance [order_top α] [order_top β] : order_top (α × β) :=
{ le_top := assume a, ⟨le_top, le_top⟩,
.. prod.partial_order α β, .. prod.lattice.has_top α β }
instance [order_bot α] [order_bot β] : order_bot (α × β) :=
{ bot_le := assume a, ⟨bot_le, bot_le⟩,
.. prod.partial_order α β, .. prod.lattice.has_bot α β }
instance [semilattice_sup_top α] [semilattice_sup_top β] : semilattice_sup_top (α × β) :=
{ .. prod.lattice.semilattice_sup α β, .. prod.lattice.order_top α β }
instance [semilattice_inf_top α] [semilattice_inf_top β] : semilattice_inf_top (α × β) :=
{ .. prod.lattice.semilattice_inf α β, .. prod.lattice.order_top α β }
instance [semilattice_sup_bot α] [semilattice_sup_bot β] : semilattice_sup_bot (α × β) :=
{ .. prod.lattice.semilattice_sup α β, .. prod.lattice.order_bot α β }
instance [semilattice_inf_bot α] [semilattice_inf_bot β] : semilattice_inf_bot (α × β) :=
{ .. prod.lattice.semilattice_inf α β, .. prod.lattice.order_bot α β }
instance [bounded_lattice α] [bounded_lattice β] : bounded_lattice (α × β) :=
{ .. prod.lattice.lattice α β, .. prod.lattice.order_top α β, .. prod.lattice.order_bot α β }
instance [bounded_distrib_lattice α] [bounded_distrib_lattice β] :
bounded_distrib_lattice (α × β) :=
{ .. prod.lattice.bounded_lattice α β, .. prod.lattice.distrib_lattice α β }
end prod
|
1b6e817606b748ad8e1086ee4aed8f4dda83243b | fffbc47930dc6615e66ece42324ce57a21d5b64b | /src/category_theory/types.lean | 8925f61814404cff2d354c1a1c4f9df4dec4c4c4 | [
"Apache-2.0"
] | permissive | skbaek/mathlib | 3caae8ae413c66862293a95fd2fbada3647b1228 | f25340175631cdc85ad768a262433f968d0d6450 | refs/heads/master | 1,588,130,123,636 | 1,558,287,609,000 | 1,558,287,609,000 | 160,935,713 | 0 | 0 | Apache-2.0 | 1,544,271,146,000 | 1,544,271,146,000 | null | UTF-8 | Lean | false | false | 4,399 | lean | -- Copyright (c) 2017 Scott Morrison. All rights reserved.
-- Released under Apache 2.0 license as described in the file LICENSE.
-- Authors: Stephen Morgan, Scott Morrison, Johannes Hölzl
import category_theory.functor_category
import category_theory.fully_faithful
import data.equiv.basic
namespace category_theory
universes v v' w u u' -- declare the `v`'s first; see `category_theory.category` for an explanation
instance types : large_category (Sort u) :=
{ hom := λ a b, (a → b),
id := λ a, id,
comp := λ _ _ _ f g, g ∘ f }
@[simp] lemma types_hom {α β : Sort u} : (α ⟶ β) = (α → β) := rfl
@[simp] lemma types_id {α : Sort u} (a : α) : (𝟙 α : α → α) a = a := rfl
@[simp] lemma types_comp {α β γ : Sort u} (f : α → β) (g : β → γ) (a : α) : (((f : α ⟶ β) ≫ (g : β ⟶ γ)) : α ⟶ γ) a = g (f a) := rfl
namespace functor_to_types
variables {C : Sort u} [𝒞 : category.{v} C] (F G H : C ⥤ Sort w) {X Y Z : C}
include 𝒞
variables (σ : F ⟶ G) (τ : G ⟶ H)
@[simp] lemma map_comp (f : X ⟶ Y) (g : Y ⟶ Z) (a : F.obj X) : (F.map (f ≫ g)) a = (F.map g) ((F.map f) a) :=
by simp
@[simp] lemma map_id (a : F.obj X) : (F.map (𝟙 X)) a = a :=
by simp
lemma naturality (f : X ⟶ Y) (x : F.obj X) : σ.app Y ((F.map f) x) = (G.map f) (σ.app X x) :=
congr_fun (σ.naturality f) x
@[simp] lemma comp (x : F.obj X) : (σ ≫ τ).app X x = τ.app X (σ.app X x) := rfl
variables {D : Sort u'} [𝒟 : category.{u'} D] (I J : D ⥤ C) (ρ : I ⟶ J) {W : D}
@[simp] lemma hcomp (x : (I ⋙ F).obj W) : (ρ ◫ σ).app W x = (G.map (ρ.app W)) (σ.app (I.obj W) x) := rfl
end functor_to_types
def ulift_trivial (V : Type u) : ulift.{u} V ≅ V := by tidy
def ulift_functor : Type u ⥤ Type (max u v) :=
{ obj := λ X, ulift.{v} X,
map := λ X Y f, λ x : ulift.{v} X, ulift.up (f x.down) }
@[simp] lemma ulift_functor.map {X Y : Type u} (f : X ⟶ Y) (x : ulift.{v} X) :
ulift_functor.map f x = ulift.up (f x.down) := rfl
instance ulift_functor_faithful : fully_faithful ulift_functor :=
{ preimage := λ X Y f x, (f (ulift.up x)).down,
injectivity' := λ X Y f g p, funext $ λ x,
congr_arg ulift.down ((congr_fun p (ulift.up x)) : ((ulift.up (f x)) = (ulift.up (g x)))) }
def hom_of_element {X : Type u} (x : X) : punit ⟶ X := λ _, x
lemma hom_of_element_eq_iff {X : Type u} (x y : X) :
hom_of_element x = hom_of_element y ↔ x = y :=
⟨λ H, congr_fun H punit.star, by cc⟩
lemma mono_iff_injective {X Y : Type u} (f : X ⟶ Y) : mono f ↔ function.injective f :=
begin
split,
{ intros H x x' h,
resetI,
rw ←hom_of_element_eq_iff at ⊢ h,
exact (cancel_mono f).mp h },
{ refine λ H, ⟨λ Z g h H₂, _⟩,
ext z,
replace H₂ := congr_fun H₂ z,
exact H H₂ }
end
lemma epi_iff_surjective {X Y : Type u} (f : X ⟶ Y) : epi f ↔ function.surjective f :=
begin
split,
{ intros H,
let g : Y ⟶ ulift Prop := λ y, ⟨true⟩,
let h : Y ⟶ ulift Prop := λ y, ⟨∃ x, f x = y⟩,
suffices : f ≫ g = f ≫ h,
{ resetI,
rw cancel_epi at this,
intro y,
replace this := congr_fun this y,
replace this : true = ∃ x, f x = y := congr_arg ulift.down this,
rw ←this,
trivial },
ext x,
change true ↔ ∃ x', f x' = f x,
rw true_iff,
exact ⟨x, rfl⟩ },
{ intro H,
constructor,
intros Z g h H₂,
apply funext,
rw ←forall_iff_forall_surj H,
intro x,
exact (congr_fun H₂ x : _) }
end
end category_theory
-- Isomorphisms in Type and equivalences.
namespace equiv
universe u
variables {X Y : Sort u}
def to_iso (e : X ≃ Y) : X ≅ Y :=
{ hom := e.to_fun,
inv := e.inv_fun,
hom_inv_id' := funext e.left_inv,
inv_hom_id' := funext e.right_inv }
@[simp] lemma to_iso_hom {e : X ≃ Y} : e.to_iso.hom = e := rfl
@[simp] lemma to_iso_inv {e : X ≃ Y} : e.to_iso.inv = e.symm := rfl
end equiv
namespace category_theory.iso
universe u
variables {X Y : Sort u}
def to_equiv (i : X ≅ Y) : X ≃ Y :=
{ to_fun := i.hom,
inv_fun := i.inv,
left_inv := λ x, congr_fun i.hom_inv_id x,
right_inv := λ y, congr_fun i.inv_hom_id y }
@[simp] lemma to_equiv_fun (i : X ≅ Y) : (i.to_equiv : X → Y) = i.hom := rfl
@[simp] lemma to_equiv_symm_fun (i : X ≅ Y) : (i.to_equiv.symm : Y → X) = i.inv := rfl
end category_theory.iso
|
f19240de38e2297d81944d8603077a57f3775e78 | 9dd3f3912f7321eb58ee9aa8f21778ad6221f87c | /tests/lean/import_invalid_tk.lean | 5ff4c774c4ac01c08544d35e37951c29b0f14b9e | [
"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 | 39 | lean | import data.bitvec 0b311
print bitvec
|
049d5a6c3a7e5bcf045809a7d10190a858ebf173 | c777c32c8e484e195053731103c5e52af26a25d1 | /src/topology/continuous_function/bounded.lean | 7207cb70e936d629751ef6d2333565b9cc93451a | [
"Apache-2.0"
] | permissive | kbuzzard/mathlib | 2ff9e85dfe2a46f4b291927f983afec17e946eb8 | 58537299e922f9c77df76cb613910914a479c1f7 | refs/heads/master | 1,685,313,702,744 | 1,683,974,212,000 | 1,683,974,212,000 | 128,185,277 | 1 | 0 | null | 1,522,920,600,000 | 1,522,920,600,000 | null | UTF-8 | Lean | false | false | 60,484 | lean | /-
Copyright (c) 2018 Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sébastien Gouëzel, Mario Carneiro, Yury Kudryashov, Heather Macbeth
-/
import analysis.normed.order.lattice
import analysis.normed_space.operator_norm
import analysis.normed_space.star.basic
import data.real.sqrt
import topology.continuous_function.algebra
import topology.metric_space.equicontinuity
/-!
# Bounded continuous functions
The type of bounded continuous functions taking values in a metric space, with
the uniform distance.
-/
noncomputable theory
open_locale topology classical nnreal uniformity uniform_convergence
open set filter metric function
universes u v w
variables {F : Type*} {α : Type u} {β : Type v} {γ : Type w}
/-- `α →ᵇ β` is the type of bounded continuous functions `α → β` from a topological space to a
metric space.
When possible, instead of parametrizing results over `(f : α →ᵇ β)`,
you should parametrize over `(F : Type*) [bounded_continuous_map_class F α β] (f : F)`.
When you extend this structure, make sure to extend `bounded_continuous_map_class`. -/
structure bounded_continuous_function (α : Type u) (β : Type v)
[topological_space α] [pseudo_metric_space β] extends continuous_map α β :
Type (max u v) :=
(map_bounded' : ∃ C, ∀ x y, dist (to_fun x) (to_fun y) ≤ C)
localized "infixr (name := bounded_continuous_function)
` →ᵇ `:25 := bounded_continuous_function" in bounded_continuous_function
section
set_option old_structure_cmd true
/-- `bounded_continuous_map_class F α β` states that `F` is a type of bounded continuous maps.
You should also extend this typeclass when you extend `bounded_continuous_function`. -/
class bounded_continuous_map_class (F α β : Type*) [topological_space α] [pseudo_metric_space β]
extends continuous_map_class F α β :=
(map_bounded (f : F) : ∃ C, ∀ x y, dist (f x) (f y) ≤ C)
end
export bounded_continuous_map_class (map_bounded)
namespace bounded_continuous_function
section basics
variables [topological_space α] [pseudo_metric_space β] [pseudo_metric_space γ]
variables {f g : α →ᵇ β} {x : α} {C : ℝ}
instance : bounded_continuous_map_class (α →ᵇ β) α β :=
{ coe := λ f, f.to_fun,
coe_injective' := λ f g h, by { obtain ⟨⟨_, _⟩, _⟩ := f, obtain ⟨⟨_, _⟩, _⟩ := g, congr' },
map_continuous := λ f, f.continuous_to_fun,
map_bounded := λ f, f.map_bounded' }
/-- Helper instance for when there's too many metavariables to apply `fun_like.has_coe_to_fun`
directly. -/
instance : has_coe_to_fun (α →ᵇ β) (λ _, α → β) := fun_like.has_coe_to_fun
instance [bounded_continuous_map_class F α β] : has_coe_t F (α →ᵇ β) :=
⟨λ f, { to_fun := f, continuous_to_fun := map_continuous f, map_bounded' := map_bounded f }⟩
@[simp] lemma coe_to_continuous_fun (f : α →ᵇ β) : (f.to_continuous_map : α → β) = f := rfl
/-- See Note [custom simps projection]. We need to specify this projection explicitly in this case,
because it is a composition of multiple projections. -/
def simps.apply (h : α →ᵇ β) : α → β := h
initialize_simps_projections bounded_continuous_function (to_continuous_map_to_fun → apply)
protected lemma bounded (f : α →ᵇ β) : ∃C, ∀ x y : α, dist (f x) (f y) ≤ C := f.map_bounded'
protected lemma continuous (f : α →ᵇ β) : continuous f := f.to_continuous_map.continuous
@[ext] lemma ext (h : ∀ x, f x = g x) : f = g := fun_like.ext _ _ h
lemma bounded_range (f : α →ᵇ β) : bounded (range f) :=
bounded_range_iff.2 f.bounded
lemma bounded_image (f : α →ᵇ β) (s : set α) : bounded (f '' s) :=
f.bounded_range.mono $ image_subset_range _ _
lemma eq_of_empty [is_empty α] (f g : α →ᵇ β) : f = g :=
ext $ is_empty.elim ‹_›
/-- A continuous function with an explicit bound is a bounded continuous function. -/
def mk_of_bound (f : C(α, β)) (C : ℝ) (h : ∀ x y : α, dist (f x) (f y) ≤ C) : α →ᵇ β :=
⟨f, ⟨C, h⟩⟩
@[simp] lemma mk_of_bound_coe {f} {C} {h} : (mk_of_bound f C h : α → β) = (f : α → β) :=
rfl
/-- A continuous function on a compact space is automatically a bounded continuous function. -/
def mk_of_compact [compact_space α] (f : C(α, β)) : α →ᵇ β :=
⟨f, bounded_range_iff.1 (is_compact_range f.continuous).bounded⟩
@[simp] lemma mk_of_compact_apply [compact_space α] (f : C(α, β)) (a : α) :
mk_of_compact f a = f a :=
rfl
/-- If a function is bounded on a discrete space, it is automatically continuous,
and therefore gives rise to an element of the type of bounded continuous functions -/
@[simps] def mk_of_discrete [discrete_topology α] (f : α → β)
(C : ℝ) (h : ∀ x y : α, dist (f x) (f y) ≤ C) : α →ᵇ β :=
⟨⟨f, continuous_of_discrete_topology⟩, ⟨C, h⟩⟩
/-- The uniform distance between two bounded continuous functions -/
instance : has_dist (α →ᵇ β) :=
⟨λf g, Inf {C | 0 ≤ C ∧ ∀ x : α, dist (f x) (g x) ≤ C}⟩
lemma dist_eq : dist f g = Inf {C | 0 ≤ C ∧ ∀ x : α, dist (f x) (g x) ≤ C} := rfl
lemma dist_set_exists : ∃ C, 0 ≤ C ∧ ∀ x : α, dist (f x) (g x) ≤ C :=
begin
rcases f.bounded_range.union g.bounded_range with ⟨C, hC⟩,
refine ⟨max 0 C, le_max_left _ _, λ x, (hC _ _ _ _).trans (le_max_right _ _)⟩;
[left, right]; apply mem_range_self
end
/-- The pointwise distance is controlled by the distance between functions, by definition. -/
lemma dist_coe_le_dist (x : α) : dist (f x) (g x) ≤ dist f g :=
le_cInf dist_set_exists $ λb hb, hb.2 x
/- This lemma will be needed in the proof of the metric space instance, but it will become
useless afterwards as it will be superseded by the general result that the distance is nonnegative
in metric spaces. -/
private lemma dist_nonneg' : 0 ≤ dist f g :=
le_cInf dist_set_exists (λ C, and.left)
/-- The distance between two functions is controlled by the supremum of the pointwise distances -/
lemma dist_le (C0 : (0 : ℝ) ≤ C) : dist f g ≤ C ↔ ∀x:α, dist (f x) (g x) ≤ C :=
⟨λ h x, le_trans (dist_coe_le_dist x) h, λ H, cInf_le ⟨0, λ C, and.left⟩ ⟨C0, H⟩⟩
lemma dist_le_iff_of_nonempty [nonempty α] :
dist f g ≤ C ↔ ∀ x, dist (f x) (g x) ≤ C :=
⟨λ h x, le_trans (dist_coe_le_dist x) h,
λ w, (dist_le (le_trans dist_nonneg (w (nonempty.some ‹_›)))).mpr w⟩
lemma dist_lt_of_nonempty_compact [nonempty α] [compact_space α]
(w : ∀x:α, dist (f x) (g x) < C) : dist f g < C :=
begin
have c : continuous (λ x, dist (f x) (g x)), { continuity, },
obtain ⟨x, -, le⟩ :=
is_compact.exists_forall_ge is_compact_univ set.univ_nonempty (continuous.continuous_on c),
exact lt_of_le_of_lt (dist_le_iff_of_nonempty.mpr (λ y, le y trivial)) (w x),
end
lemma dist_lt_iff_of_compact [compact_space α] (C0 : (0 : ℝ) < C) :
dist f g < C ↔ ∀x:α, dist (f x) (g x) < C :=
begin
fsplit,
{ intros w x,
exact lt_of_le_of_lt (dist_coe_le_dist x) w, },
{ by_cases h : nonempty α,
{ resetI,
exact dist_lt_of_nonempty_compact, },
{ rintro -,
convert C0,
apply le_antisymm _ dist_nonneg',
rw [dist_eq],
exact cInf_le ⟨0, λ C, and.left⟩ ⟨le_rfl, λ x, false.elim (h (nonempty.intro x))⟩, }, },
end
lemma dist_lt_iff_of_nonempty_compact [nonempty α] [compact_space α] :
dist f g < C ↔ ∀x:α, dist (f x) (g x) < C :=
⟨λ w x, lt_of_le_of_lt (dist_coe_le_dist x) w, dist_lt_of_nonempty_compact⟩
/-- The type of bounded continuous functions, with the uniform distance, is a pseudometric space. -/
instance : pseudo_metric_space (α →ᵇ β) :=
{ dist_self := λ f, le_antisymm ((dist_le le_rfl).2 $ λ x, by simp) dist_nonneg',
dist_comm := λ f g, by simp [dist_eq, dist_comm],
dist_triangle := λ f g h,
(dist_le (add_nonneg dist_nonneg' dist_nonneg')).2 $ λ x,
le_trans (dist_triangle _ _ _) (add_le_add (dist_coe_le_dist _) (dist_coe_le_dist _)) }
/-- The type of bounded continuous functions, with the uniform distance, is a metric space. -/
instance {α β} [topological_space α] [metric_space β] : metric_space (α →ᵇ β) :=
{ eq_of_dist_eq_zero := λ f g hfg, by ext x; exact
eq_of_dist_eq_zero (le_antisymm (hfg ▸ dist_coe_le_dist _) dist_nonneg) }
lemma nndist_eq : nndist f g = Inf {C | ∀ x : α, nndist (f x) (g x) ≤ C} :=
subtype.ext $ dist_eq.trans $ begin
rw [nnreal.coe_Inf, nnreal.coe_image],
simp_rw [mem_set_of_eq, ←nnreal.coe_le_coe, subtype.coe_mk, exists_prop, coe_nndist],
end
lemma nndist_set_exists : ∃ C, ∀ x : α, nndist (f x) (g x) ≤ C :=
subtype.exists.mpr $ dist_set_exists.imp $ λ a ⟨ha, h⟩, ⟨ha, h⟩
lemma nndist_coe_le_nndist (x : α) : nndist (f x) (g x) ≤ nndist f g :=
dist_coe_le_dist x
/-- On an empty space, bounded continuous functions are at distance 0 -/
lemma dist_zero_of_empty [is_empty α] : dist f g = 0 :=
by rw [(ext is_empty_elim : f = g), dist_self]
lemma dist_eq_supr : dist f g = ⨆ x : α, dist (f x) (g x) :=
begin
casesI is_empty_or_nonempty α, { rw [supr_of_empty', real.Sup_empty, dist_zero_of_empty] },
refine (dist_le_iff_of_nonempty.mpr $ le_csupr _).antisymm (csupr_le dist_coe_le_dist),
exact dist_set_exists.imp (λ C hC, forall_range_iff.2 hC.2)
end
lemma nndist_eq_supr : nndist f g = ⨆ x : α, nndist (f x) (g x) :=
subtype.ext $ dist_eq_supr.trans $ by simp_rw [nnreal.coe_supr, coe_nndist]
lemma tendsto_iff_tendsto_uniformly {ι : Type*} {F : ι → (α →ᵇ β)} {f : α →ᵇ β} {l : filter ι} :
tendsto F l (𝓝 f) ↔ tendsto_uniformly (λ i, F i) f l :=
iff.intro
(λ h, tendsto_uniformly_iff.2
(λ ε ε0, (metric.tendsto_nhds.mp h ε ε0).mp (eventually_of_forall $
λ n hn x, lt_of_le_of_lt (dist_coe_le_dist x) (dist_comm (F n) f ▸ hn))))
(λ h, metric.tendsto_nhds.mpr $ λ ε ε_pos,
(h _ (dist_mem_uniformity $ half_pos ε_pos)).mp (eventually_of_forall $
λ n hn, lt_of_le_of_lt ((dist_le (half_pos ε_pos).le).mpr $
λ x, dist_comm (f x) (F n x) ▸ le_of_lt (hn x)) (half_lt_self ε_pos)))
/-- The topology on `α →ᵇ β` is exactly the topology induced by the natural map to `α →ᵤ β`. -/
lemma inducing_coe_fn : inducing (uniform_fun.of_fun ∘ coe_fn : (α →ᵇ β) → (α →ᵤ β)) :=
begin
rw inducing_iff_nhds,
refine λ f, eq_of_forall_le_iff (λ l, _),
rw [← tendsto_iff_comap, ← tendsto_id', tendsto_iff_tendsto_uniformly,
uniform_fun.tendsto_iff_tendsto_uniformly],
refl
end
-- TODO: upgrade to a `uniform_embedding`
lemma embedding_coe_fn : embedding (uniform_fun.of_fun ∘ coe_fn : (α →ᵇ β) → (α →ᵤ β)) :=
⟨inducing_coe_fn, λ f g h, ext $ λ x, congr_fun h x⟩
variables (α) {β}
/-- Constant as a continuous bounded function. -/
@[simps {fully_applied := ff}] def const (b : β) : α →ᵇ β :=
⟨continuous_map.const α b, 0, by simp [le_rfl]⟩
variable {α}
lemma const_apply' (a : α) (b : β) : (const α b : α → β) a = b := rfl
/-- If the target space is inhabited, so is the space of bounded continuous functions -/
instance [inhabited β] : inhabited (α →ᵇ β) := ⟨const α default⟩
lemma lipschitz_evalx (x : α) : lipschitz_with 1 (λ f : α →ᵇ β, f x) :=
lipschitz_with.mk_one $ λ f g, dist_coe_le_dist x
theorem uniform_continuous_coe : @uniform_continuous (α →ᵇ β) (α → β) _ _ coe_fn :=
uniform_continuous_pi.2 $ λ x, (lipschitz_evalx x).uniform_continuous
lemma continuous_coe : continuous (λ (f : α →ᵇ β) x, f x) :=
uniform_continuous.continuous uniform_continuous_coe
/-- When `x` is fixed, `(f : α →ᵇ β) ↦ f x` is continuous -/
@[continuity] theorem continuous_eval_const {x : α} : continuous (λ f : α →ᵇ β, f x) :=
(continuous_apply x).comp continuous_coe
/-- The evaluation map is continuous, as a joint function of `u` and `x` -/
@[continuity] theorem continuous_eval : continuous (λ p : (α →ᵇ β) × α, p.1 p.2) :=
continuous_prod_of_continuous_lipschitz _ 1 (λ f, f.continuous) $ lipschitz_evalx
/-- Bounded continuous functions taking values in a complete space form a complete space. -/
instance [complete_space β] : complete_space (α →ᵇ β) :=
complete_of_cauchy_seq_tendsto $ λ (f : ℕ → α →ᵇ β) (hf : cauchy_seq f),
begin
/- We have to show that `f n` converges to a bounded continuous function.
For this, we prove pointwise convergence to define the limit, then check
it is a continuous bounded function, and then check the norm convergence. -/
rcases cauchy_seq_iff_le_tendsto_0.1 hf with ⟨b, b0, b_bound, b_lim⟩,
have f_bdd := λx n m N hn hm, le_trans (dist_coe_le_dist x) (b_bound n m N hn hm),
have fx_cau : ∀x, cauchy_seq (λn, f n x) :=
λx, cauchy_seq_iff_le_tendsto_0.2 ⟨b, b0, f_bdd x, b_lim⟩,
choose F hF using λx, cauchy_seq_tendsto_of_complete (fx_cau x),
/- F : α → β, hF : ∀ (x : α), tendsto (λ (n : ℕ), f n x) at_top (𝓝 (F x))
`F` is the desired limit function. Check that it is uniformly approximated by `f N` -/
have fF_bdd : ∀x N, dist (f N x) (F x) ≤ b N :=
λ x N, le_of_tendsto (tendsto_const_nhds.dist (hF x))
(filter.eventually_at_top.2 ⟨N, λn hn, f_bdd x N n N (le_refl N) hn⟩),
refine ⟨⟨⟨F, _⟩, _⟩, _⟩,
{ /- Check that `F` is continuous, as a uniform limit of continuous functions -/
have : tendsto_uniformly (λn x, f n x) F at_top,
{ refine metric.tendsto_uniformly_iff.2 (λ ε ε0, _),
refine ((tendsto_order.1 b_lim).2 ε ε0).mono (λ n hn x, _),
rw dist_comm,
exact lt_of_le_of_lt (fF_bdd x n) hn },
exact this.continuous (eventually_of_forall $ λ N, (f N).continuous) },
{ /- Check that `F` is bounded -/
rcases (f 0).bounded with ⟨C, hC⟩,
refine ⟨C + (b 0 + b 0), λ x y, _⟩,
calc dist (F x) (F y) ≤ dist (f 0 x) (f 0 y) + (dist (f 0 x) (F x) + dist (f 0 y) (F y)) :
dist_triangle4_left _ _ _ _
... ≤ C + (b 0 + b 0) : by mono* },
{ /- Check that `F` is close to `f N` in distance terms -/
refine tendsto_iff_dist_tendsto_zero.2 (squeeze_zero (λ _, dist_nonneg) _ b_lim),
exact λ N, (dist_le (b0 _)).2 (λx, fF_bdd x N) }
end
/-- Composition of a bounded continuous function and a continuous function. -/
def comp_continuous {δ : Type*} [topological_space δ] (f : α →ᵇ β) (g : C(δ, α)) : δ →ᵇ β :=
{ to_continuous_map := f.1.comp g,
map_bounded' := f.map_bounded'.imp (λ C hC x y, hC _ _) }
@[simp] lemma coe_comp_continuous {δ : Type*} [topological_space δ] (f : α →ᵇ β) (g : C(δ, α)) :
coe_fn (f.comp_continuous g) = f ∘ g := rfl
@[simp] lemma comp_continuous_apply {δ : Type*} [topological_space δ]
(f : α →ᵇ β) (g : C(δ, α)) (x : δ) : f.comp_continuous g x = f (g x) :=
rfl
lemma lipschitz_comp_continuous {δ : Type*} [topological_space δ] (g : C(δ, α)) :
lipschitz_with 1 (λ f : α →ᵇ β, f.comp_continuous g) :=
lipschitz_with.mk_one $ λ f₁ f₂, (dist_le dist_nonneg).2 $ λ x, dist_coe_le_dist (g x)
lemma continuous_comp_continuous {δ : Type*} [topological_space δ] (g : C(δ, α)) :
continuous (λ f : α →ᵇ β, f.comp_continuous g) :=
(lipschitz_comp_continuous g).continuous
/-- Restrict a bounded continuous function to a set. -/
def restrict (f : α →ᵇ β) (s : set α) : s →ᵇ β :=
f.comp_continuous $ (continuous_map.id _).restrict s
@[simp] lemma coe_restrict (f : α →ᵇ β) (s : set α) : coe_fn (f.restrict s) = f ∘ coe := rfl
@[simp] lemma restrict_apply (f : α →ᵇ β) (s : set α) (x : s) : f.restrict s x = f x := rfl
/-- Composition (in the target) of a bounded continuous function with a Lipschitz map again
gives a bounded continuous function -/
def comp (G : β → γ) {C : ℝ≥0} (H : lipschitz_with C G)
(f : α →ᵇ β) : α →ᵇ γ :=
⟨⟨λx, G (f x), H.continuous.comp f.continuous⟩,
let ⟨D, hD⟩ := f.bounded in
⟨max C 0 * D, λ x y, calc
dist (G (f x)) (G (f y)) ≤ C * dist (f x) (f y) : H.dist_le_mul _ _
... ≤ max C 0 * dist (f x) (f y) : mul_le_mul_of_nonneg_right (le_max_left C 0) dist_nonneg
... ≤ max C 0 * D : mul_le_mul_of_nonneg_left (hD _ _) (le_max_right C 0)⟩⟩
/-- The composition operator (in the target) with a Lipschitz map is Lipschitz -/
lemma lipschitz_comp {G : β → γ} {C : ℝ≥0} (H : lipschitz_with C G) :
lipschitz_with C (comp G H : (α →ᵇ β) → α →ᵇ γ) :=
lipschitz_with.of_dist_le_mul $ λ f g,
(dist_le (mul_nonneg C.2 dist_nonneg)).2 $ λ x,
calc dist (G (f x)) (G (g x)) ≤ C * dist (f x) (g x) : H.dist_le_mul _ _
... ≤ C * dist f g : mul_le_mul_of_nonneg_left (dist_coe_le_dist _) C.2
/-- The composition operator (in the target) with a Lipschitz map is uniformly continuous -/
lemma uniform_continuous_comp {G : β → γ} {C : ℝ≥0} (H : lipschitz_with C G) :
uniform_continuous (comp G H : (α →ᵇ β) → α →ᵇ γ) :=
(lipschitz_comp H).uniform_continuous
/-- The composition operator (in the target) with a Lipschitz map is continuous -/
lemma continuous_comp {G : β → γ} {C : ℝ≥0} (H : lipschitz_with C G) :
continuous (comp G H : (α →ᵇ β) → α →ᵇ γ) :=
(lipschitz_comp H).continuous
/-- Restriction (in the target) of a bounded continuous function taking values in a subset -/
def cod_restrict (s : set β) (f : α →ᵇ β) (H : ∀x, f x ∈ s) : α →ᵇ s :=
⟨⟨s.cod_restrict f H, f.continuous.subtype_mk _⟩, f.bounded⟩
section extend
variables {δ : Type*} [topological_space δ] [discrete_topology δ]
/-- A version of `function.extend` for bounded continuous maps. We assume that the domain has
discrete topology, so we only need to verify boundedness. -/
def extend (f : α ↪ δ) (g : α →ᵇ β) (h : δ →ᵇ β) : δ →ᵇ β :=
{ to_fun := extend f g h,
continuous_to_fun := continuous_of_discrete_topology,
map_bounded' :=
begin
rw [← bounded_range_iff, range_extend f.injective, metric.bounded_union],
exact ⟨g.bounded_range, h.bounded_image _⟩
end }
@[simp] lemma extend_apply (f : α ↪ δ) (g : α →ᵇ β) (h : δ →ᵇ β) (x : α) :
extend f g h (f x) = g x :=
f.injective.extend_apply _ _ _
@[simp] lemma extend_comp (f : α ↪ δ) (g : α →ᵇ β) (h : δ →ᵇ β) : extend f g h ∘ f = g :=
extend_comp f.injective _ _
lemma extend_apply' {f : α ↪ δ} {x : δ} (hx : x ∉ range f) (g : α →ᵇ β) (h : δ →ᵇ β) :
extend f g h x = h x :=
extend_apply' _ _ _ hx
lemma extend_of_empty [is_empty α] (f : α ↪ δ) (g : α →ᵇ β) (h : δ →ᵇ β) :
extend f g h = h :=
fun_like.coe_injective $ function.extend_of_empty f g h
@[simp] lemma dist_extend_extend (f : α ↪ δ) (g₁ g₂ : α →ᵇ β) (h₁ h₂ : δ →ᵇ β) :
dist (g₁.extend f h₁) (g₂.extend f h₂) =
max (dist g₁ g₂) (dist (h₁.restrict (range f)ᶜ) (h₂.restrict (range f)ᶜ)) :=
begin
refine le_antisymm ((dist_le $ le_max_iff.2 $ or.inl dist_nonneg).2 $ λ x, _) (max_le _ _),
{ rcases em (∃ y, f y = x) with (⟨x, rfl⟩|hx),
{ simp only [extend_apply],
exact (dist_coe_le_dist x).trans (le_max_left _ _) },
{ simp only [extend_apply' hx],
lift x to ((range f)ᶜ : set δ) using hx,
calc dist (h₁ x) (h₂ x) = dist (h₁.restrict (range f)ᶜ x) (h₂.restrict (range f)ᶜ x) : rfl
... ≤ dist (h₁.restrict (range f)ᶜ) (h₂.restrict (range f)ᶜ) : dist_coe_le_dist x
... ≤ _ : le_max_right _ _ } },
{ refine (dist_le dist_nonneg).2 (λ x, _),
rw [← extend_apply f g₁ h₁, ← extend_apply f g₂ h₂],
exact dist_coe_le_dist _ },
{ refine (dist_le dist_nonneg).2 (λ x, _),
calc dist (h₁ x) (h₂ x) = dist (extend f g₁ h₁ x) (extend f g₂ h₂ x) :
by rw [extend_apply' x.coe_prop, extend_apply' x.coe_prop]
... ≤ _ : dist_coe_le_dist _ }
end
lemma isometry_extend (f : α ↪ δ) (h : δ →ᵇ β) :
isometry (λ g : α →ᵇ β, extend f g h) :=
isometry.of_dist_eq $ λ g₁ g₂, by simp [dist_nonneg]
end extend
end basics
section arzela_ascoli
variables [topological_space α] [compact_space α] [pseudo_metric_space β]
variables {f g : α →ᵇ β} {x : α} {C : ℝ}
/- Arzela-Ascoli theorem asserts that, on a compact space, a set of functions sharing
a common modulus of continuity and taking values in a compact set forms a compact
subset for the topology of uniform convergence. In this section, we prove this theorem
and several useful variations around it. -/
/-- First version, with pointwise equicontinuity and range in a compact space -/
theorem arzela_ascoli₁ [compact_space β]
(A : set (α →ᵇ β))
(closed : is_closed A)
(H : equicontinuous (coe_fn : A → α → β)) :
is_compact A :=
begin
simp_rw [equicontinuous, metric.equicontinuous_at_iff_pair] at H,
refine is_compact_of_totally_bounded_is_closed _ closed,
refine totally_bounded_of_finite_discretization (λ ε ε0, _),
rcases exists_between ε0 with ⟨ε₁, ε₁0, εε₁⟩,
let ε₂ := ε₁/2/2,
/- We have to find a finite discretization of `u`, i.e., finite information
that is sufficient to reconstruct `u` up to ε. This information will be
provided by the values of `u` on a sufficiently dense set tα,
slightly translated to fit in a finite ε₂-dense set tβ in the image. Such
sets exist by compactness of the source and range. Then, to check that these
data determine the function up to ε, one uses the control on the modulus of
continuity to extend the closeness on tα to closeness everywhere. -/
have ε₂0 : ε₂ > 0 := half_pos (half_pos ε₁0),
have : ∀x:α, ∃U, x ∈ U ∧ is_open U ∧ ∀ (y z ∈ U) {f : α →ᵇ β},
f ∈ A → dist (f y) (f z) < ε₂ := λ x,
let ⟨U, nhdsU, hU⟩ := H x _ ε₂0,
⟨V, VU, openV, xV⟩ := _root_.mem_nhds_iff.1 nhdsU in
⟨V, xV, openV, λy hy z hz f hf, hU y (VU hy) z (VU hz) ⟨f, hf⟩⟩,
choose U hU using this,
/- For all x, the set hU x is an open set containing x on which the elements of A
fluctuate by at most ε₂.
We extract finitely many of these sets that cover the whole space, by compactness -/
rcases is_compact_univ.elim_finite_subcover_image
(λx _, (hU x).2.1) (λx hx, mem_bUnion (mem_univ _) (hU x).1)
with ⟨tα, _, ⟨_⟩, htα⟩,
/- tα : set α, htα : univ ⊆ ⋃x ∈ tα, U x -/
rcases @finite_cover_balls_of_compact β _ _ is_compact_univ _ ε₂0
with ⟨tβ, _, ⟨_⟩, htβ⟩, resetI,
/- tβ : set β, htβ : univ ⊆ ⋃y ∈ tβ, ball y ε₂ -/
/- Associate to every point `y` in the space a nearby point `F y` in tβ -/
choose F hF using λy, show ∃z∈tβ, dist y z < ε₂, by simpa using htβ (mem_univ y),
/- F : β → β, hF : ∀ (y : β), F y ∈ tβ ∧ dist y (F y) < ε₂ -/
/- Associate to every function a discrete approximation, mapping each point in `tα`
to a point in `tβ` close to its true image by the function. -/
refine ⟨tα → tβ, by apply_instance, λ f a, ⟨F (f a), (hF (f a)).1⟩, _⟩,
rintro ⟨f, hf⟩ ⟨g, hg⟩ f_eq_g,
/- If two functions have the same approximation, then they are within distance ε -/
refine lt_of_le_of_lt ((dist_le $ le_of_lt ε₁0).2 (λ x, _)) εε₁,
obtain ⟨x', x'tα, hx'⟩ : ∃x' ∈ tα, x ∈ U x' := mem_Union₂.1 (htα (mem_univ x)),
calc dist (f x) (g x)
≤ dist (f x) (f x') + dist (g x) (g x') + dist (f x') (g x') : dist_triangle4_right _ _ _ _
... ≤ ε₂ + ε₂ + ε₁/2 : le_of_lt (add_lt_add (add_lt_add _ _) _)
... = ε₁ : by rw [add_halves, add_halves],
{ exact (hU x').2.2 _ hx' _ ((hU x').1) hf },
{ exact (hU x').2.2 _ hx' _ ((hU x').1) hg },
{ have F_f_g : F (f x') = F (g x') :=
(congr_arg (λ f:tα → tβ, (f ⟨x', x'tα⟩ : β)) f_eq_g : _),
calc dist (f x') (g x')
≤ dist (f x') (F (f x')) + dist (g x') (F (f x')) : dist_triangle_right _ _ _
... = dist (f x') (F (f x')) + dist (g x') (F (g x')) : by rw F_f_g
... < ε₂ + ε₂ : add_lt_add (hF (f x')).2 (hF (g x')).2
... = ε₁/2 : add_halves _ }
end
/-- Second version, with pointwise equicontinuity and range in a compact subset -/
theorem arzela_ascoli₂
(s : set β) (hs : is_compact s)
(A : set (α →ᵇ β))
(closed : is_closed A)
(in_s : ∀(f : α →ᵇ β) (x : α), f ∈ A → f x ∈ s)
(H : equicontinuous (coe_fn : A → α → β)) :
is_compact A :=
/- This version is deduced from the previous one by restricting to the compact type in the target,
using compactness there and then lifting everything to the original space. -/
begin
have M : lipschitz_with 1 coe := lipschitz_with.subtype_coe s,
let F : (α →ᵇ s) → α →ᵇ β := comp coe M,
refine is_compact_of_is_closed_subset
((_ : is_compact (F ⁻¹' A)).image (continuous_comp M)) closed (λ f hf, _),
{ haveI : compact_space s := is_compact_iff_compact_space.1 hs,
refine arzela_ascoli₁ _ (continuous_iff_is_closed.1 (continuous_comp M) _ closed) _,
rw uniform_embedding_subtype_coe.to_uniform_inducing.equicontinuous_iff,
exact H.comp (A.restrict_preimage F) },
{ let g := cod_restrict s f (λx, in_s f x hf),
rw [show f = F g, by ext; refl] at hf ⊢,
exact ⟨g, hf, rfl⟩ }
end
/-- Third (main) version, with pointwise equicontinuity and range in a compact subset, but
without closedness. The closure is then compact -/
theorem arzela_ascoli [t2_space β]
(s : set β) (hs : is_compact s)
(A : set (α →ᵇ β))
(in_s : ∀(f : α →ᵇ β) (x : α), f ∈ A → f x ∈ s)
(H : equicontinuous (coe_fn : A → α → β)) :
is_compact (closure A) :=
/- This version is deduced from the previous one by checking that the closure of A, in
addition to being closed, still satisfies the properties of compact range and equicontinuity -/
arzela_ascoli₂ s hs (closure A) is_closed_closure
(λ f x hf, (mem_of_closed' hs.is_closed).2 $ λ ε ε0,
let ⟨g, gA, dist_fg⟩ := metric.mem_closure_iff.1 hf ε ε0 in
⟨g x, in_s g x gA, lt_of_le_of_lt (dist_coe_le_dist _) dist_fg⟩)
(H.closure' continuous_coe)
end arzela_ascoli
section has_one
variables [topological_space α] [pseudo_metric_space β] [has_one β]
@[to_additive] instance : has_one (α →ᵇ β) := ⟨const α 1⟩
@[simp, to_additive] lemma coe_one : ((1 : α →ᵇ β) : α → β) = 1 := rfl
@[simp, to_additive]
lemma mk_of_compact_one [compact_space α] : mk_of_compact (1 : C(α, β)) = 1 := rfl
@[to_additive] lemma forall_coe_one_iff_one (f : α →ᵇ β) : (∀ x, f x = 1) ↔ f = 1 :=
(@fun_like.ext_iff _ _ _ _ f 1).symm
@[simp, to_additive] lemma one_comp_continuous [topological_space γ] (f : C(γ, α)) :
(1 : α →ᵇ β).comp_continuous f = 1 := rfl
end has_one
section has_lipschitz_add
/- In this section, if `β` is an `add_monoid` whose addition operation is Lipschitz, then we show
that the space of bounded continuous functions from `α` to `β` inherits a topological `add_monoid`
structure, by using pointwise operations and checking that they are compatible with the uniform
distance.
Implementation note: The material in this section could have been written for `has_lipschitz_mul`
and transported by `@[to_additive]`. We choose not to do this because this causes a few lemma
names (for example, `coe_mul`) to conflict with later lemma names for normed rings; this is only a
trivial inconvenience, but in any case there are no obvious applications of the multiplicative
version. -/
variables [topological_space α] [pseudo_metric_space β] [add_monoid β]
variables [has_lipschitz_add β]
variables (f g : α →ᵇ β) {x : α} {C : ℝ}
/-- The pointwise sum of two bounded continuous functions is again bounded continuous. -/
instance : has_add (α →ᵇ β) :=
{ add := λ f g,
bounded_continuous_function.mk_of_bound (f.to_continuous_map + g.to_continuous_map)
(↑(has_lipschitz_add.C β) * max (classical.some f.bounded) (classical.some g.bounded))
begin
intros x y,
refine le_trans (lipschitz_with_lipschitz_const_add ⟨f x, g x⟩ ⟨f y, g y⟩) _,
rw prod.dist_eq,
refine mul_le_mul_of_nonneg_left _ (has_lipschitz_add.C β).coe_nonneg,
apply max_le_max,
exact classical.some_spec f.bounded x y,
exact classical.some_spec g.bounded x y,
end }
@[simp] lemma coe_add : ⇑(f + g) = f + g := rfl
lemma add_apply : (f + g) x = f x + g x := rfl
@[simp] lemma mk_of_compact_add [compact_space α] (f g : C(α, β)) :
mk_of_compact (f + g) = mk_of_compact f + mk_of_compact g := rfl
lemma add_comp_continuous [topological_space γ] (h : C(γ, α)) :
(g + f).comp_continuous h = g.comp_continuous h + f.comp_continuous h := rfl
@[simp] lemma coe_nsmul_rec : ∀ n, ⇑(nsmul_rec n f) = n • f
| 0 := by rw [nsmul_rec, zero_smul, coe_zero]
| (n + 1) := by rw [nsmul_rec, succ_nsmul, coe_add, coe_nsmul_rec]
instance has_nat_scalar : has_smul ℕ (α →ᵇ β) :=
{ smul := λ n f,
{ to_continuous_map := n • f.to_continuous_map,
map_bounded' := by simpa [coe_nsmul_rec] using (nsmul_rec n f).map_bounded' } }
@[simp] lemma coe_nsmul (r : ℕ) (f : α →ᵇ β) : ⇑(r • f) = r • f := rfl
@[simp] lemma nsmul_apply (r : ℕ) (f : α →ᵇ β) (v : α) : (r • f) v = r • f v := rfl
instance : add_monoid (α →ᵇ β) :=
fun_like.coe_injective.add_monoid _ coe_zero coe_add (λ _ _, coe_nsmul _ _)
instance : has_lipschitz_add (α →ᵇ β) :=
{ lipschitz_add := ⟨has_lipschitz_add.C β, begin
have C_nonneg := (has_lipschitz_add.C β).coe_nonneg,
rw lipschitz_with_iff_dist_le_mul,
rintros ⟨f₁, g₁⟩ ⟨f₂, g₂⟩,
rw dist_le (mul_nonneg C_nonneg dist_nonneg),
intros x,
refine le_trans (lipschitz_with_lipschitz_const_add ⟨f₁ x, g₁ x⟩ ⟨f₂ x, g₂ x⟩) _,
refine mul_le_mul_of_nonneg_left _ C_nonneg,
apply max_le_max; exact dist_coe_le_dist x,
end⟩ }
/-- Coercion of a `normed_add_group_hom` is an `add_monoid_hom`. Similar to
`add_monoid_hom.coe_fn`. -/
@[simps] def coe_fn_add_hom : (α →ᵇ β) →+ (α → β) :=
{ to_fun := coe_fn, map_zero' := coe_zero, map_add' := coe_add }
variables (α β)
/-- The additive map forgetting that a bounded continuous function is bounded.
-/
@[simps] def to_continuous_map_add_hom : (α →ᵇ β) →+ C(α, β) :=
{ to_fun := to_continuous_map,
map_zero' := by { ext, simp, },
map_add' := by { intros, ext, simp, }, }
end has_lipschitz_add
section comm_has_lipschitz_add
variables [topological_space α] [pseudo_metric_space β] [add_comm_monoid β] [has_lipschitz_add β]
@[to_additive] instance : add_comm_monoid (α →ᵇ β) :=
{ add_comm := assume f g, by ext; simp [add_comm],
.. bounded_continuous_function.add_monoid }
open_locale big_operators
@[simp] lemma coe_sum {ι : Type*} (s : finset ι) (f : ι → (α →ᵇ β)) :
⇑(∑ i in s, f i) = (∑ i in s, (f i : α → β)) :=
(@coe_fn_add_hom α β _ _ _ _).map_sum f s
lemma sum_apply {ι : Type*} (s : finset ι) (f : ι → (α →ᵇ β)) (a : α) :
(∑ i in s, f i) a = (∑ i in s, f i a) :=
by simp
end comm_has_lipschitz_add
section normed_add_comm_group
/- In this section, if β is a normed group, then we show that the space of bounded
continuous functions from α to β inherits a normed group structure, by using
pointwise operations and checking that they are compatible with the uniform distance. -/
variables [topological_space α] [seminormed_add_comm_group β]
variables (f g : α →ᵇ β) {x : α} {C : ℝ}
instance : has_norm (α →ᵇ β) := ⟨λu, dist u 0⟩
lemma norm_def : ‖f‖ = dist f 0 := rfl
/-- The norm of a bounded continuous function is the supremum of `‖f x‖`.
We use `Inf` to ensure that the definition works if `α` has no elements. -/
lemma norm_eq (f : α →ᵇ β) :
‖f‖ = Inf {C : ℝ | 0 ≤ C ∧ ∀ (x : α), ‖f x‖ ≤ C} :=
by simp [norm_def, bounded_continuous_function.dist_eq]
/-- When the domain is non-empty, we do not need the `0 ≤ C` condition in the formula for ‖f‖ as an
`Inf`. -/
lemma norm_eq_of_nonempty [h : nonempty α] : ‖f‖ = Inf {C : ℝ | ∀ (x : α), ‖f x‖ ≤ C} :=
begin
unfreezingI { obtain ⟨a⟩ := h, },
rw norm_eq,
congr,
ext,
simp only [and_iff_right_iff_imp],
exact λ h', le_trans (norm_nonneg (f a)) (h' a),
end
@[simp] lemma norm_eq_zero_of_empty [h : is_empty α] : ‖f‖ = 0 :=
dist_zero_of_empty
lemma norm_coe_le_norm (x : α) : ‖f x‖ ≤ ‖f‖ := calc
‖f x‖ = dist (f x) ((0 : α →ᵇ β) x) : by simp [dist_zero_right]
... ≤ ‖f‖ : dist_coe_le_dist _
lemma dist_le_two_norm' {f : γ → β} {C : ℝ} (hC : ∀ x, ‖f x‖ ≤ C) (x y : γ) :
dist (f x) (f y) ≤ 2 * C :=
calc dist (f x) (f y) ≤ ‖f x‖ + ‖f y‖ : dist_le_norm_add_norm _ _
... ≤ C + C : add_le_add (hC x) (hC y)
... = 2 * C : (two_mul _).symm
/-- Distance between the images of any two points is at most twice the norm of the function. -/
lemma dist_le_two_norm (x y : α) : dist (f x) (f y) ≤ 2 * ‖f‖ :=
dist_le_two_norm' f.norm_coe_le_norm x y
variable {f}
/-- The norm of a function is controlled by the supremum of the pointwise norms -/
lemma norm_le (C0 : (0 : ℝ) ≤ C) : ‖f‖ ≤ C ↔ ∀x:α, ‖f x‖ ≤ C :=
by simpa using @dist_le _ _ _ _ f 0 _ C0
lemma norm_le_of_nonempty [nonempty α]
{f : α →ᵇ β} {M : ℝ} : ‖f‖ ≤ M ↔ ∀ x, ‖f x‖ ≤ M :=
begin
simp_rw [norm_def, ←dist_zero_right],
exact dist_le_iff_of_nonempty,
end
lemma norm_lt_iff_of_compact [compact_space α]
{f : α →ᵇ β} {M : ℝ} (M0 : 0 < M) : ‖f‖ < M ↔ ∀ x, ‖f x‖ < M :=
begin
simp_rw [norm_def, ←dist_zero_right],
exact dist_lt_iff_of_compact M0,
end
lemma norm_lt_iff_of_nonempty_compact [nonempty α] [compact_space α]
{f : α →ᵇ β} {M : ℝ} : ‖f‖ < M ↔ ∀ x, ‖f x‖ < M :=
begin
simp_rw [norm_def, ←dist_zero_right],
exact dist_lt_iff_of_nonempty_compact,
end
variable (f)
/-- Norm of `const α b` is less than or equal to `‖b‖`. If `α` is nonempty,
then it is equal to `‖b‖`. -/
lemma norm_const_le (b : β) : ‖const α b‖ ≤ ‖b‖ :=
(norm_le (norm_nonneg b)).2 $ λ x, le_rfl
@[simp] lemma norm_const_eq [h : nonempty α] (b : β) : ‖const α b‖ = ‖b‖ :=
le_antisymm (norm_const_le b) $ h.elim $ λ x, (const α b).norm_coe_le_norm x
/-- Constructing a bounded continuous function from a uniformly bounded continuous
function taking values in a normed group. -/
def of_normed_add_comm_group {α : Type u} {β : Type v} [topological_space α]
[seminormed_add_comm_group β] (f : α → β) (Hf : continuous f) (C : ℝ) (H : ∀x, ‖f x‖ ≤ C) :
α →ᵇ β :=
⟨⟨λn, f n, Hf⟩, ⟨_, dist_le_two_norm' H⟩⟩
@[simp] lemma coe_of_normed_add_comm_group
{α : Type u} {β : Type v} [topological_space α] [seminormed_add_comm_group β]
(f : α → β) (Hf : continuous f) (C : ℝ) (H : ∀x, ‖f x‖ ≤ C) :
(of_normed_add_comm_group f Hf C H : α → β) = f := rfl
lemma norm_of_normed_add_comm_group_le {f : α → β} (hfc : continuous f) {C : ℝ} (hC : 0 ≤ C)
(hfC : ∀ x, ‖f x‖ ≤ C) : ‖of_normed_add_comm_group f hfc C hfC‖ ≤ C :=
(norm_le hC).2 hfC
/-- Constructing a bounded continuous function from a uniformly bounded
function on a discrete space, taking values in a normed group -/
def of_normed_add_comm_group_discrete {α : Type u} {β : Type v}
[topological_space α] [discrete_topology α] [seminormed_add_comm_group β]
(f : α → β) (C : ℝ) (H : ∀x, norm (f x) ≤ C) : α →ᵇ β :=
of_normed_add_comm_group f continuous_of_discrete_topology C H
@[simp] lemma coe_of_normed_add_comm_group_discrete {α : Type u} {β : Type v} [topological_space α]
[discrete_topology α] [seminormed_add_comm_group β] (f : α → β) (C : ℝ) (H : ∀x, ‖f x‖ ≤ C) :
(of_normed_add_comm_group_discrete f C H : α → β) = f := rfl
/-- Taking the pointwise norm of a bounded continuous function with values in a
`seminormed_add_comm_group` yields a bounded continuous function with values in ℝ. -/
def norm_comp : α →ᵇ ℝ :=
f.comp norm lipschitz_with_one_norm
@[simp] lemma coe_norm_comp : (f.norm_comp : α → ℝ) = norm ∘ f := rfl
@[simp] lemma norm_norm_comp : ‖f.norm_comp‖ = ‖f‖ :=
by simp only [norm_eq, coe_norm_comp, norm_norm]
lemma bdd_above_range_norm_comp : bdd_above $ set.range $ norm ∘ f :=
(real.bounded_iff_bdd_below_bdd_above.mp $ @bounded_range _ _ _ _ f.norm_comp).2
lemma norm_eq_supr_norm : ‖f‖ = ⨆ x : α, ‖f x‖ :=
by simp_rw [norm_def, dist_eq_supr, coe_zero, pi.zero_apply, dist_zero_right]
/-- If `‖(1 : β)‖ = 1`, then `‖(1 : α →ᵇ β)‖ = 1` if `α` is nonempty. -/
instance [nonempty α] [has_one β] [norm_one_class β] : norm_one_class (α →ᵇ β) :=
{ norm_one := by simp only [norm_eq_supr_norm, coe_one, pi.one_apply, norm_one, csupr_const] }
/-- The pointwise opposite of a bounded continuous function is again bounded continuous. -/
instance : has_neg (α →ᵇ β) :=
⟨λf, of_normed_add_comm_group (-f) f.continuous.neg ‖f‖ $ λ x,
trans_rel_right _ (norm_neg _) (f.norm_coe_le_norm x)⟩
/-- The pointwise difference of two bounded continuous functions is again bounded continuous. -/
instance : has_sub (α →ᵇ β) :=
⟨λf g, of_normed_add_comm_group (f - g) (f.continuous.sub g.continuous) (‖f‖ + ‖g‖) $ λ x,
by { simp only [sub_eq_add_neg],
exact le_trans (norm_add_le _ _) (add_le_add (f.norm_coe_le_norm x) $
trans_rel_right _ (norm_neg _) (g.norm_coe_le_norm x)) }⟩
@[simp] lemma coe_neg : ⇑(-f) = -f := rfl
lemma neg_apply : (-f) x = -f x := rfl
@[simp] lemma coe_sub : ⇑(f - g) = f - g := rfl
lemma sub_apply : (f - g) x = f x - g x := rfl
@[simp] lemma mk_of_compact_neg [compact_space α] (f : C(α, β)) :
mk_of_compact (-f) = -mk_of_compact f := rfl
@[simp] lemma mk_of_compact_sub [compact_space α] (f g : C(α, β)) :
mk_of_compact (f - g) = mk_of_compact f - mk_of_compact g := rfl
@[simp] lemma coe_zsmul_rec : ∀ z, ⇑(zsmul_rec z f) = z • f
| (int.of_nat n) := by rw [zsmul_rec, int.of_nat_eq_coe, coe_nsmul_rec, coe_nat_zsmul]
| -[1+ n] := by rw [zsmul_rec, zsmul_neg_succ_of_nat, coe_neg, coe_nsmul_rec]
instance has_int_scalar : has_smul ℤ (α →ᵇ β) :=
{ smul := λ n f,
{ to_continuous_map := n • f.to_continuous_map,
map_bounded' := by simpa using (zsmul_rec n f).map_bounded' } }
@[simp] lemma coe_zsmul (r : ℤ) (f : α →ᵇ β) : ⇑(r • f) = r • f := rfl
@[simp] lemma zsmul_apply (r : ℤ) (f : α →ᵇ β) (v : α) : (r • f) v = r • f v := rfl
instance : add_comm_group (α →ᵇ β) :=
fun_like.coe_injective.add_comm_group _ coe_zero coe_add coe_neg coe_sub (λ _ _, coe_nsmul _ _)
(λ _ _, coe_zsmul _ _)
instance : seminormed_add_comm_group (α →ᵇ β) :=
{ dist_eq := λ f g, by simp only [norm_eq, dist_eq, dist_eq_norm, sub_apply] }
instance {α β} [topological_space α] [normed_add_comm_group β] : normed_add_comm_group (α →ᵇ β) :=
{ ..bounded_continuous_function.seminormed_add_comm_group }
lemma nnnorm_def : ‖f‖₊ = nndist f 0 := rfl
lemma nnnorm_coe_le_nnnorm (x : α) : ‖f x‖₊ ≤ ‖f‖₊ := norm_coe_le_norm _ _
lemma nndist_le_two_nnnorm (x y : α) : nndist (f x) (f y) ≤ 2 * ‖f‖₊ := dist_le_two_norm _ _ _
/-- The nnnorm of a function is controlled by the supremum of the pointwise nnnorms -/
lemma nnnorm_le (C : ℝ≥0) : ‖f‖₊ ≤ C ↔ ∀x:α, ‖f x‖₊ ≤ C :=
norm_le C.prop
lemma nnnorm_const_le (b : β) : ‖const α b‖₊ ≤ ‖b‖₊ :=
norm_const_le _
@[simp] lemma nnnorm_const_eq [h : nonempty α] (b : β) : ‖const α b‖₊ = ‖b‖₊ :=
subtype.ext $ norm_const_eq _
lemma nnnorm_eq_supr_nnnorm : ‖f‖₊ = ⨆ x : α, ‖f x‖₊ :=
subtype.ext $ (norm_eq_supr_norm f).trans $ by simp_rw [nnreal.coe_supr, coe_nnnorm]
lemma abs_diff_coe_le_dist : ‖f x - g x‖ ≤ dist f g :=
by { rw dist_eq_norm, exact (f - g).norm_coe_le_norm x }
lemma coe_le_coe_add_dist {f g : α →ᵇ ℝ} : f x ≤ g x + dist f g :=
sub_le_iff_le_add'.1 $ (abs_le.1 $ @dist_coe_le_dist _ _ _ _ f g x).2
lemma norm_comp_continuous_le [topological_space γ] (f : α →ᵇ β) (g : C(γ, α)) :
‖f.comp_continuous g‖ ≤ ‖f‖ :=
((lipschitz_comp_continuous g).dist_le_mul f 0).trans $
by rw [nnreal.coe_one, one_mul, dist_zero_right]
end normed_add_comm_group
section has_bounded_smul
/-!
### `has_bounded_smul` (in particular, topological module) structure
In this section, if `β` is a metric space and a `𝕜`-module whose addition and scalar multiplication
are compatible with the metric structure, then we show that the space of bounded continuous
functions from `α` to `β` inherits a so-called `has_bounded_smul` structure (in particular, a
`has_continuous_mul` structure, which is the mathlib formulation of being a topological module), by
using pointwise operations and checking that they are compatible with the uniform distance. -/
variables {𝕜 : Type*} [pseudo_metric_space 𝕜] [topological_space α] [pseudo_metric_space β]
section has_smul
variables [has_zero 𝕜] [has_zero β] [has_smul 𝕜 β] [has_bounded_smul 𝕜 β]
instance : has_smul 𝕜 (α →ᵇ β) :=
{ smul := λ c f,
{ to_continuous_map := c • f.to_continuous_map,
map_bounded' := let ⟨b, hb⟩ := f.bounded in ⟨dist c 0 * b, λ x y, begin
refine (dist_smul_pair c (f x) (f y)).trans _,
refine mul_le_mul_of_nonneg_left _ dist_nonneg,
exact hb x y
end⟩ } }
@[simp] lemma coe_smul (c : 𝕜) (f : α →ᵇ β) : ⇑(c • f) = λ x, c • (f x) := rfl
lemma smul_apply (c : 𝕜) (f : α →ᵇ β) (x : α) : (c • f) x = c • f x := rfl
instance [has_smul 𝕜ᵐᵒᵖ β] [is_central_scalar 𝕜 β] : is_central_scalar 𝕜 (α →ᵇ β) :=
{ op_smul_eq_smul := λ _ _, ext $ λ _, op_smul_eq_smul _ _ }
instance : has_bounded_smul 𝕜 (α →ᵇ β) :=
{ dist_smul_pair' := λ c f₁ f₂, begin
rw dist_le (mul_nonneg dist_nonneg dist_nonneg),
intros x,
refine (dist_smul_pair c (f₁ x) (f₂ x)).trans _,
exact mul_le_mul_of_nonneg_left (dist_coe_le_dist x) dist_nonneg
end,
dist_pair_smul' := λ c₁ c₂ f, begin
rw dist_le (mul_nonneg dist_nonneg dist_nonneg),
intros x,
refine (dist_pair_smul c₁ c₂ (f x)).trans _,
convert mul_le_mul_of_nonneg_left (dist_coe_le_dist x) dist_nonneg,
simp
end }
end has_smul
section mul_action
variables [monoid_with_zero 𝕜] [has_zero β] [mul_action 𝕜 β] [has_bounded_smul 𝕜 β]
instance : mul_action 𝕜 (α →ᵇ β) := fun_like.coe_injective.mul_action _ coe_smul
end mul_action
section distrib_mul_action
variables [monoid_with_zero 𝕜] [add_monoid β] [distrib_mul_action 𝕜 β] [has_bounded_smul 𝕜 β]
variables [has_lipschitz_add β]
instance : distrib_mul_action 𝕜 (α →ᵇ β) :=
function.injective.distrib_mul_action ⟨_, coe_zero, coe_add⟩ fun_like.coe_injective coe_smul
end distrib_mul_action
section module
variables [semiring 𝕜] [add_comm_monoid β] [module 𝕜 β] [has_bounded_smul 𝕜 β]
variables {f g : α →ᵇ β} {x : α} {C : ℝ}
variables [has_lipschitz_add β]
instance : module 𝕜 (α →ᵇ β) :=
function.injective.module _ ⟨_, coe_zero, coe_add⟩ fun_like.coe_injective coe_smul
variables (𝕜)
/-- The evaluation at a point, as a continuous linear map from `α →ᵇ β` to `β`. -/
def eval_clm (x : α) : (α →ᵇ β) →L[𝕜] β :=
{ to_fun := λ f, f x,
map_add' := λ f g, add_apply _ _,
map_smul' := λ c f, smul_apply _ _ _ }
@[simp] lemma eval_clm_apply (x : α) (f : α →ᵇ β) :
eval_clm 𝕜 x f = f x := rfl
variables (α β)
/-- The linear map forgetting that a bounded continuous function is bounded. -/
@[simps]
def to_continuous_map_linear_map : (α →ᵇ β) →ₗ[𝕜] C(α, β) :=
{ to_fun := to_continuous_map,
map_smul' := λ f g, rfl,
map_add' := λ c f, rfl }
end module
end has_bounded_smul
section normed_space
/-!
### Normed space structure
In this section, if `β` is a normed space, then we show that the space of bounded
continuous functions from `α` to `β` inherits a normed space structure, by using
pointwise operations and checking that they are compatible with the uniform distance. -/
variables {𝕜 : Type*}
variables [topological_space α] [seminormed_add_comm_group β]
variables {f g : α →ᵇ β} {x : α} {C : ℝ}
instance [normed_field 𝕜] [normed_space 𝕜 β] : normed_space 𝕜 (α →ᵇ β) := ⟨λ c f, begin
refine norm_of_normed_add_comm_group_le _ (mul_nonneg (norm_nonneg _) (norm_nonneg _)) _,
exact (λ x, trans_rel_right _ (norm_smul _ _)
(mul_le_mul_of_nonneg_left (f.norm_coe_le_norm _) (norm_nonneg _))) end⟩
variables [nontrivially_normed_field 𝕜] [normed_space 𝕜 β]
variables [seminormed_add_comm_group γ] [normed_space 𝕜 γ]
variables (α)
-- TODO does this work in the `has_bounded_smul` setting, too?
/--
Postcomposition of bounded continuous functions into a normed module by a continuous linear map is
a continuous linear map.
Upgraded version of `continuous_linear_map.comp_left_continuous`, similar to
`linear_map.comp_left`. -/
protected def _root_.continuous_linear_map.comp_left_continuous_bounded (g : β →L[𝕜] γ) :
(α →ᵇ β) →L[𝕜] (α →ᵇ γ) :=
linear_map.mk_continuous
{ to_fun := λ f, of_normed_add_comm_group
(g ∘ f)
(g.continuous.comp f.continuous)
(‖g‖ * ‖f‖)
(λ x, (g.le_op_norm_of_le (f.norm_coe_le_norm x))),
map_add' := λ f g, by ext; simp,
map_smul' := λ c f, by ext; simp }
‖g‖
(λ f, norm_of_normed_add_comm_group_le _ (mul_nonneg (norm_nonneg g) (norm_nonneg f)) _)
@[simp] lemma _root_.continuous_linear_map.comp_left_continuous_bounded_apply (g : β →L[𝕜] γ)
(f : α →ᵇ β) (x : α) :
(g.comp_left_continuous_bounded α f) x = g (f x) :=
rfl
end normed_space
section normed_ring
/-!
### Normed ring structure
In this section, if `R` is a normed ring, then we show that the space of bounded
continuous functions from `α` to `R` inherits a normed ring structure, by using
pointwise operations and checking that they are compatible with the uniform distance. -/
variables [topological_space α] {R : Type*}
section non_unital
section semi_normed
variables [non_unital_semi_normed_ring R]
instance : has_mul (α →ᵇ R) :=
{ mul := λ f g, of_normed_add_comm_group (f * g) (f.continuous.mul g.continuous) (‖f‖ * ‖g‖) $ λ x,
le_trans (norm_mul_le (f x) (g x)) $
mul_le_mul (f.norm_coe_le_norm x) (g.norm_coe_le_norm x) (norm_nonneg _) (norm_nonneg _) }
@[simp] lemma coe_mul (f g : α →ᵇ R) : ⇑(f * g) = f * g := rfl
lemma mul_apply (f g : α →ᵇ R) (x : α) : (f * g) x = f x * g x := rfl
instance : non_unital_ring (α →ᵇ R) :=
fun_like.coe_injective.non_unital_ring _ coe_zero coe_add coe_mul coe_neg coe_sub
(λ _ _, coe_nsmul _ _) (λ _ _, coe_zsmul _ _)
instance : non_unital_semi_normed_ring (α →ᵇ R) :=
{ norm_mul := λ f g, norm_of_normed_add_comm_group_le _ (mul_nonneg (norm_nonneg _) (norm_nonneg _))
_,
.. bounded_continuous_function.seminormed_add_comm_group }
end semi_normed
instance [non_unital_normed_ring R] : non_unital_normed_ring (α →ᵇ R) :=
{ .. bounded_continuous_function.non_unital_semi_normed_ring,
.. bounded_continuous_function.normed_add_comm_group }
end non_unital
section semi_normed
variables [semi_normed_ring R]
@[simp] lemma coe_npow_rec (f : α →ᵇ R) : ∀ n, ⇑(npow_rec n f) = f ^ n
| 0 := by rw [npow_rec, pow_zero, coe_one]
| (n + 1) := by rw [npow_rec, pow_succ, coe_mul, coe_npow_rec]
instance has_nat_pow : has_pow (α →ᵇ R) ℕ :=
{ pow := λ f n,
{ to_continuous_map := f.to_continuous_map ^ n,
map_bounded' := by simpa [coe_npow_rec] using (npow_rec n f).map_bounded' } }
@[simp] lemma coe_pow (n : ℕ) (f : α →ᵇ R) : ⇑(f ^ n) = f ^ n := rfl
@[simp] lemma pow_apply (n : ℕ) (f : α →ᵇ R) (v : α) : (f ^ n) v = f v ^ n := rfl
instance : has_nat_cast (α →ᵇ R) :=
⟨λ n, bounded_continuous_function.const _ n⟩
@[simp, norm_cast] lemma coe_nat_cast (n : ℕ) : ((n : α →ᵇ R) : α → R) = n := rfl
instance : has_int_cast (α →ᵇ R) :=
⟨λ n, bounded_continuous_function.const _ n⟩
@[simp, norm_cast] lemma coe_int_cast (n : ℤ) : ((n : α →ᵇ R) : α → R) = n := rfl
instance : ring (α →ᵇ R) :=
fun_like.coe_injective.ring _ coe_zero coe_one coe_add coe_mul coe_neg coe_sub
(λ _ _, coe_nsmul _ _)
(λ _ _, coe_zsmul _ _)
(λ _ _, coe_pow _ _)
coe_nat_cast
coe_int_cast
instance : semi_normed_ring (α →ᵇ R) :=
{ ..bounded_continuous_function.non_unital_semi_normed_ring }
end semi_normed
instance [normed_ring R] : normed_ring (α →ᵇ R) :=
{ ..bounded_continuous_function.non_unital_normed_ring }
end normed_ring
section normed_comm_ring
/-!
### Normed commutative ring structure
In this section, if `R` is a normed commutative ring, then we show that the space of bounded
continuous functions from `α` to `R` inherits a normed commutative ring structure, by using
pointwise operations and checking that they are compatible with the uniform distance. -/
variables [topological_space α] {R : Type*}
instance [semi_normed_comm_ring R] : comm_ring (α →ᵇ R) :=
{ mul_comm := λ f₁ f₂, ext $ λ x, mul_comm _ _,
.. bounded_continuous_function.ring }
instance [semi_normed_comm_ring R] : semi_normed_comm_ring (α →ᵇ R) :=
{ ..bounded_continuous_function.comm_ring, ..bounded_continuous_function.seminormed_add_comm_group }
instance [normed_comm_ring R] : normed_comm_ring (α →ᵇ R) :=
{ .. bounded_continuous_function.comm_ring, .. bounded_continuous_function.normed_add_comm_group }
end normed_comm_ring
section normed_algebra
/-!
### Normed algebra structure
In this section, if `γ` is a normed algebra, then we show that the space of bounded
continuous functions from `α` to `γ` inherits a normed algebra structure, by using
pointwise operations and checking that they are compatible with the uniform distance. -/
variables {𝕜 : Type*} [normed_field 𝕜]
variables [topological_space α] [seminormed_add_comm_group β] [normed_space 𝕜 β]
variables [normed_ring γ] [normed_algebra 𝕜 γ]
variables {f g : α →ᵇ γ} {x : α} {c : 𝕜}
/-- `bounded_continuous_function.const` as a `ring_hom`. -/
def C : 𝕜 →+* (α →ᵇ γ) :=
{ to_fun := λ (c : 𝕜), const α ((algebra_map 𝕜 γ) c),
map_one' := ext $ λ x, (algebra_map 𝕜 γ).map_one,
map_mul' := λ c₁ c₂, ext $ λ x, (algebra_map 𝕜 γ).map_mul _ _,
map_zero' := ext $ λ x, (algebra_map 𝕜 γ).map_zero,
map_add' := λ c₁ c₂, ext $ λ x, (algebra_map 𝕜 γ).map_add _ _ }
instance : algebra 𝕜 (α →ᵇ γ) :=
{ to_ring_hom := C,
commutes' := λ c f, ext $ λ x, algebra.commutes' _ _,
smul_def' := λ c f, ext $ λ x, algebra.smul_def' _ _,
..bounded_continuous_function.module,
..bounded_continuous_function.ring }
@[simp] lemma algebra_map_apply (k : 𝕜) (a : α) :
algebra_map 𝕜 (α →ᵇ γ) k a = k • 1 :=
by { rw algebra.algebra_map_eq_smul_one, refl, }
instance : normed_algebra 𝕜 (α →ᵇ γ) :=
{ ..bounded_continuous_function.normed_space }
/-!
### Structure as normed module over scalar functions
If `β` is a normed `𝕜`-space, then we show that the space of bounded continuous
functions from `α` to `β` is naturally a module over the algebra of bounded continuous
functions from `α` to `𝕜`. -/
instance has_smul' : has_smul (α →ᵇ 𝕜) (α →ᵇ β) :=
⟨λ (f : α →ᵇ 𝕜) (g : α →ᵇ β), of_normed_add_comm_group (λ x, (f x) • (g x))
(f.continuous.smul g.continuous) (‖f‖ * ‖g‖) (λ x, calc
‖f x • g x‖ ≤ ‖f x‖ * ‖g x‖ : norm_smul_le _ _
... ≤ ‖f‖ * ‖g‖ : mul_le_mul (f.norm_coe_le_norm _) (g.norm_coe_le_norm _) (norm_nonneg _)
(norm_nonneg _)) ⟩
instance module' : module (α →ᵇ 𝕜) (α →ᵇ β) :=
module.of_core $
{ smul := (•),
smul_add := λ c f₁ f₂, ext $ λ x, smul_add _ _ _,
add_smul := λ c₁ c₂ f, ext $ λ x, add_smul _ _ _,
mul_smul := λ c₁ c₂ f, ext $ λ x, mul_smul _ _ _,
one_smul := λ f, ext $ λ x, one_smul 𝕜 (f x) }
lemma norm_smul_le (f : α →ᵇ 𝕜) (g : α →ᵇ β) : ‖f • g‖ ≤ ‖f‖ * ‖g‖ :=
norm_of_normed_add_comm_group_le _ (mul_nonneg (norm_nonneg _) (norm_nonneg _)) _
/- TODO: When `normed_module` has been added to `normed_space.basic`, the above facts
show that the space of bounded continuous functions from `α` to `β` is naturally a normed
module over the algebra of bounded continuous functions from `α` to `𝕜`. -/
end normed_algebra
lemma nnreal.upper_bound {α : Type*} [topological_space α]
(f : α →ᵇ ℝ≥0) (x : α) : f x ≤ nndist f 0 :=
begin
have key : nndist (f x) ((0 : α →ᵇ ℝ≥0) x) ≤ nndist f 0,
{ exact @dist_coe_le_dist α ℝ≥0 _ _ f 0 x, },
simp only [coe_zero, pi.zero_apply] at key,
rwa nnreal.nndist_zero_eq_val' (f x) at key,
end
/-!
### Star structures
In this section, if `β` is a normed ⋆-group, then so is the space of bounded
continuous functions from `α` to `β`, by using the star operation pointwise.
If `𝕜` is normed field and a ⋆-ring over which `β` is a normed algebra and a
star module, then the space of bounded continuous functions from `α` to `β`
is a star module.
If `β` is a ⋆-ring in addition to being a normed ⋆-group, then `α →ᵇ β`
inherits a ⋆-ring structure.
In summary, if `β` is a C⋆-algebra over `𝕜`, then so is `α →ᵇ β`; note that
completeness is guaranteed when `β` is complete (see
`bounded_continuous_function.complete`). -/
section normed_add_comm_group
variables {𝕜 : Type*} [normed_field 𝕜] [star_ring 𝕜] [topological_space α]
[seminormed_add_comm_group β] [star_add_monoid β] [normed_star_group β]
variables [normed_space 𝕜 β] [star_module 𝕜 β]
instance : star_add_monoid (α →ᵇ β) :=
{ star := λ f, f.comp star star_normed_add_group_hom.lipschitz,
star_involutive := λ f, ext $ λ x, star_star (f x),
star_add := λ f g, ext $ λ x, star_add (f x) (g x) }
/-- The right-hand side of this equality can be parsed `star ∘ ⇑f` because of the
instance `pi.has_star`. Upon inspecting the goal, one sees `⊢ ⇑(star f) = star ⇑f`.-/
@[simp] lemma coe_star (f : α →ᵇ β) : ⇑(star f) = star f := rfl
@[simp] lemma star_apply (f : α →ᵇ β) (x : α) : star f x = star (f x) := rfl
instance : normed_star_group (α →ᵇ β) :=
{ norm_star := λ f, by simp only [norm_eq, star_apply, norm_star] }
instance : star_module 𝕜 (α →ᵇ β) :=
{ star_smul := λ k f, ext $ λ x, star_smul k (f x) }
end normed_add_comm_group
section cstar_ring
variables [topological_space α]
variables [non_unital_normed_ring β] [star_ring β]
instance [normed_star_group β] : star_ring (α →ᵇ β) :=
{ star_mul := λ f g, ext $ λ x, star_mul (f x) (g x),
..bounded_continuous_function.star_add_monoid }
variable [cstar_ring β]
instance : cstar_ring (α →ᵇ β) :=
{ norm_star_mul_self :=
begin
intro f,
refine le_antisymm _ _,
{ rw [←sq, norm_le (sq_nonneg _)],
dsimp [star_apply],
intro x,
rw [cstar_ring.norm_star_mul_self, ←sq],
refine sq_le_sq' _ _,
{ linarith [norm_nonneg (f x), norm_nonneg f] },
{ exact norm_coe_le_norm f x }, },
{ rw [←sq, ←real.le_sqrt (norm_nonneg _) (norm_nonneg _), norm_le (real.sqrt_nonneg _)],
intro x,
rw [real.le_sqrt (norm_nonneg _) (norm_nonneg _), sq, ←cstar_ring.norm_star_mul_self],
exact norm_coe_le_norm (star f * f) x }
end }
end cstar_ring
section normed_lattice_ordered_group
variables [topological_space α] [normed_lattice_add_comm_group β]
instance : partial_order (α →ᵇ β) := partial_order.lift (λ f, f.to_fun) (by tidy)
/--
Continuous normed lattice group valued functions form a meet-semilattice
-/
instance : semilattice_inf (α →ᵇ β) :=
{ inf := λ f g,
{ to_fun := λ t, f t ⊓ g t,
continuous_to_fun := f.continuous.inf g.continuous,
map_bounded' := begin
obtain ⟨C₁, hf⟩ := f.bounded,
obtain ⟨C₂, hg⟩ := g.bounded,
refine ⟨C₁ + C₂, λ x y, _⟩,
simp_rw normed_add_comm_group.dist_eq at hf hg ⊢,
exact (norm_inf_sub_inf_le_add_norm _ _ _ _).trans (add_le_add (hf _ _) (hg _ _)),
end },
inf_le_left := λ f g, continuous_map.le_def.mpr (λ _, inf_le_left),
inf_le_right := λ f g, continuous_map.le_def.mpr (λ _, inf_le_right),
le_inf := λ f g₁ g₂ w₁ w₂, continuous_map.le_def.mpr (λ _, le_inf (continuous_map.le_def.mp w₁ _)
(continuous_map.le_def.mp w₂ _)),
..bounded_continuous_function.partial_order }
instance : semilattice_sup (α →ᵇ β) :=
{ sup := λ f g,
{ to_fun := λ t, f t ⊔ g t,
continuous_to_fun := f.continuous.sup g.continuous,
map_bounded' := begin
obtain ⟨C₁, hf⟩ := f.bounded,
obtain ⟨C₂, hg⟩ := g.bounded,
refine ⟨C₁ + C₂, λ x y, _⟩,
simp_rw normed_add_comm_group.dist_eq at hf hg ⊢,
exact (norm_sup_sub_sup_le_add_norm _ _ _ _).trans (add_le_add (hf _ _) (hg _ _)),
end },
le_sup_left := λ f g, continuous_map.le_def.mpr (λ _, le_sup_left),
le_sup_right := λ f g, continuous_map.le_def.mpr (λ _, le_sup_right),
sup_le := λ f g₁ g₂ w₁ w₂, continuous_map.le_def.mpr (λ _, sup_le (continuous_map.le_def.mp w₁ _)
(continuous_map.le_def.mp w₂ _)),
..bounded_continuous_function.partial_order }
instance : lattice (α →ᵇ β) :=
{ .. bounded_continuous_function.semilattice_sup, .. bounded_continuous_function.semilattice_inf }
@[simp] lemma coe_fn_sup (f g : α →ᵇ β) : ⇑(f ⊔ g) = f ⊔ g := rfl
@[simp] lemma coe_fn_abs (f : α →ᵇ β) : ⇑|f| = |f| := rfl
instance : normed_lattice_add_comm_group (α →ᵇ β) :=
{ add_le_add_left := begin
intros f g h₁ h t,
simp only [coe_to_continuous_fun, pi.add_apply, add_le_add_iff_left, coe_add,
continuous_map.to_fun_eq_coe],
exact h₁ _,
end,
solid :=
begin
intros f g h,
have i1: ∀ t, ‖f t‖ ≤ ‖g t‖ := λ t, has_solid_norm.solid (h t),
rw norm_le (norm_nonneg _),
exact λ t, (i1 t).trans (norm_coe_le_norm g t),
end,
..bounded_continuous_function.lattice, ..bounded_continuous_function.seminormed_add_comm_group }
end normed_lattice_ordered_group
section nonnegative_part
variables [topological_space α]
/-- The nonnegative part of a bounded continuous `ℝ`-valued function as a bounded
continuous `ℝ≥0`-valued function. -/
def nnreal_part (f : α →ᵇ ℝ) : α →ᵇ ℝ≥0 :=
bounded_continuous_function.comp _
(show lipschitz_with 1 real.to_nnreal, from lipschitz_with_pos) f
@[simp] lemma nnreal_part_coe_fun_eq (f : α →ᵇ ℝ) : ⇑(f.nnreal_part) = real.to_nnreal ∘ ⇑f := rfl
/-- The absolute value of a bounded continuous `ℝ`-valued function as a bounded
continuous `ℝ≥0`-valued function. -/
def nnnorm (f : α →ᵇ ℝ) : α →ᵇ ℝ≥0 :=
bounded_continuous_function.comp _
(show lipschitz_with 1 (λ (x : ℝ), ‖x‖₊), from lipschitz_with_one_norm) f
@[simp] lemma nnnorm_coe_fun_eq (f : α →ᵇ ℝ) : ⇑(f.nnnorm) = has_nnnorm.nnnorm ∘ ⇑f := rfl
/-- Decompose a bounded continuous function to its positive and negative parts. -/
lemma self_eq_nnreal_part_sub_nnreal_part_neg (f : α →ᵇ ℝ) :
⇑f = coe ∘ f.nnreal_part - coe ∘ (-f).nnreal_part :=
by { funext x, dsimp, simp only [max_zero_sub_max_neg_zero_eq_self], }
/-- Express the absolute value of a bounded continuous function in terms of its
positive and negative parts. -/
lemma abs_self_eq_nnreal_part_add_nnreal_part_neg (f : α →ᵇ ℝ) :
abs ∘ ⇑f = coe ∘ f.nnreal_part + coe ∘ (-f).nnreal_part :=
by { funext x, dsimp, simp only [max_zero_add_max_neg_zero_eq_abs_self], }
end nonnegative_part
end bounded_continuous_function
|
228445ce5ee2082f82a2c7d1254e4fca6f406b3f | 618003631150032a5676f229d13a079ac875ff77 | /test/simps.lean | 449306e006d76c77725b01b96188863c6d1f841b | [
"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 | 7,328 | lean | import tactic.simps
open function tactic expr
structure equiv (α : Sort*) (β : Sort*) :=
(to_fun : α → β)
(inv_fun : β → α)
(left_inv : left_inverse inv_fun to_fun)
(right_inv : right_inverse inv_fun to_fun)
infix ` ≃ `:25 := equiv
namespace foo
@[simps] protected def rfl {α} : α ≃ α :=
⟨id, λ x, x, λ x, rfl, λ x, rfl⟩
/- simps adds declarations -/
run_cmd do
e ← get_env,
e.get `foo.rfl_to_fun,
e.get `foo.rfl_inv_fun,
success_if_fail (e.get `foo.rfl_left_inv),
success_if_fail (e.get `foo.rfl_right_inv)
example (n : ℕ) : foo.rfl.to_fun n = n := by rw [foo.rfl_to_fun, id]
example (n : ℕ) : foo.rfl.inv_fun n = n := by rw [foo.rfl_inv_fun]
/- the declarations are simp-lemmas -/
@[simps] def foo : ℕ × ℤ := (1, 2)
example : foo.1 = 1 := by simp
example : foo.2 = 2 := by simp
example : foo.1 = 1 := by { dsimp, refl } -- check that dsimp also unfolds
example : foo.2 = 2 := by { dsimp, refl }
example {α} (x : α) : foo.rfl.to_fun x = x := by simp
example {α} (x : α) : foo.rfl.inv_fun x = x := by simp
example {α} (x : α) : foo.rfl.to_fun = @id α := by { success_if_fail {simp}, refl }
/- check some failures -/
def bar1 : ℕ := 1 -- type is not a structure
def bar2 : ℕ × ℤ := prod.map (λ x, x + 2) (λ y, y - 3) (3, 4) -- value is not a constructor
noncomputable def bar3 {α} : α ≃ α :=
classical.choice ⟨foo.rfl⟩
run_cmd do
success_if_fail_with_msg (simps_tac `foo.bar1 tt)
"Invalid `simps` attribute. Target is not a structure",
success_if_fail_with_msg (simps_tac `foo.bar2 tt)
"Invalid `simps` attribute. Body is not a constructor application",
success_if_fail_with_msg (simps_tac `foo.bar3 tt)
"Invalid `simps` attribute. Body is not a constructor application",
e ← get_env,
let nm := `foo.bar1,
d ← e.get nm,
let lhs : expr := const d.to_name (d.univ_params.map level.param),
simps_add_projections e nm "" d.type lhs d.value [] d.univ_params tt ff ff []
end foo
/- we reduce the type when applying [simps] -/
def my_equiv := equiv
@[simps] def baz : my_equiv ℕ ℕ := ⟨id, λ x, x, λ x, rfl, λ x, rfl⟩
/- test name clashes -/
def name_clash_fst := 1
def name_clash_snd := 1
def name_clash_snd_2 := 1
@[simps] def name_clash := (2, 3)
run_cmd do
e ← get_env,
e.get `name_clash_fst_2,
e.get `name_clash_snd_3
/- check projections for nested structures -/
namespace count_nested
@[simps] def nested1 : ℕ × ℤ × ℕ :=
⟨2, -1, 1⟩
@[simps lemmas_only] def nested2 : ℕ × ℕ × ℕ :=
⟨2, prod.map nat.succ nat.pred (1, 2)⟩
end count_nested
run_cmd do
e ← get_env,
e.get `count_nested.nested1_fst,
e.get `count_nested.nested1_snd_fst,
e.get `count_nested.nested1_snd_snd,
e.get `count_nested.nested2_fst,
e.get `count_nested.nested2_snd,
is_simp_lemma `count_nested.nested1_fst >>= λ b, guard b, -- simp attribute is global
is_simp_lemma `count_nested.nested2_fst >>= λ b, guard $ ¬b, --lemmas_only doesn't add simp lemma
guard $ 7 = e.fold 0 -- there are no other lemmas generated
(λ d n, n + if d.to_name.components.init.ilast = `count_nested then 1 else 0)
-- testing with arguments
@[simps] def bar {α : Type*} (n m : ℕ) : ℕ × ℤ :=
⟨n - m, n + m⟩
structure equiv_plus_data (α β) extends α ≃ β :=
(P : (α → β) → Prop)
(data : P to_fun)
structure automorphism_plus_data α extends α ⊕ α ≃ α ⊕ α :=
(P : (α ⊕ α → α ⊕ α) → Prop)
(data : P to_fun)
(extra : bool → ℕ × ℕ)
@[simps]
def refl_with_data {α} : equiv_plus_data α α :=
{ P := λ f, f = id,
data := rfl,
..foo.rfl }
@[simps]
def refl_with_data' {α} : equiv_plus_data α α :=
{ P := λ f, f = id,
data := rfl,
to_equiv := foo.rfl }
/- test whether eta expansions are reduced correctly -/
@[simps]
def test {α} : automorphism_plus_data α :=
{ P := λ f, f = id,
data := rfl,
extra := λ b, ((3,5).1,(3,5).2),
..foo.rfl }
run_cmd do
e ← get_env,
e.get `refl_with_data_to_equiv,
e.get `refl_with_data'_to_equiv,
e.get `test_extra,
success_if_fail (e.get `refl_with_data_to_equiv_to_fun),
success_if_fail (e.get `refl_with_data'_to_equiv_to_fun),
success_if_fail (e.get `test_extra_fst)
structure partially_applied_str :=
(data : ℕ → ℕ × ℕ)
/- if we have a partially applied constructor, we treat it as if it were eta-expanded -/
@[simps]
def partially_applied_term : partially_applied_str := ⟨prod.mk 3⟩
run_cmd do
e ← get_env,
e.get `partially_applied_term_data_fst,
e.get `partially_applied_term_data_snd
structure very_partially_applied_str :=
(data : ∀β, ℕ → β → ℕ × β)
/- if we have a partially applied constructor, we treat it as if it were eta-expanded -/
@[simps]
def very_partially_applied_term : very_partially_applied_str := ⟨@prod.mk ℕ⟩
run_cmd do
e ← get_env,
e.get `very_partially_applied_term_data_fst,
e.get `very_partially_applied_term_data_snd
@[simps] def let1 : ℕ × ℤ :=
let n := 3 in ⟨n + 4, 5⟩
@[simps] def let2 : ℕ × ℤ :=
let n := 3, m := 4 in let k := 5 in ⟨n + m, k⟩
@[simps] def let3 : ℕ → ℕ × ℤ :=
λ n, let m := 4, k := 5 in ⟨n + m, k⟩
@[simps] def let4 : ℕ → ℕ × ℤ :=
let m := 4, k := 5 in λ n, ⟨n + m, k⟩
run_cmd do
e ← get_env,
e.get `let1_fst, e.get `let2_fst, e.get `let3_fst, e.get `let4_fst,
e.get `let1_snd, e.get `let2_snd, e.get `let3_snd, e.get `let4_snd
namespace specify
@[simps fst] def specify1 : ℕ × ℕ × ℕ := (1, 2, 3)
@[simps snd] def specify2 : ℕ × ℕ × ℕ := (1, 2, 3)
@[simps snd_fst] def specify3 : ℕ × ℕ × ℕ := (1, 2, 3)
@[simps snd snd_snd snd_snd] def specify4 : ℕ × ℕ × ℕ := (1, 2, 3) -- last argument is ignored
@[simps] def specify5 : ℕ × ℕ × ℕ := (1, prod.map (λ x, x) (λ y, y) (2, 3))
end specify
run_cmd do
e ← get_env,
e.get `specify.specify1_fst, e.get `specify.specify2_snd,
e.get `specify.specify3_snd_fst, e.get `specify.specify4_snd_snd, e.get `specify.specify4_snd,
e.get `specify.specify5_fst, e.get `specify.specify5_snd,
guard $ 12 = e.fold 0 -- there are no other lemmas generated
(λ d n, n + if d.to_name.components.init.ilast = `specify then 1 else 0),
success_if_fail_with_msg (simps_tac `specify.specify1 tt ff ["fst_fst"])
"Invalid simp-lemma specify.specify1_fst_fst. Too many projections given.",
success_if_fail_with_msg (simps_tac `specify.specify1 tt ff ["foo_fst"])
"Invalid simp-lemma specify.specify1_foo_fst. Projection foo doesn't exist.",
success_if_fail_with_msg (simps_tac `specify.specify1 tt ff ["snd_bar"])
"Invalid simp-lemma specify.specify1_snd_bar. Projection bar doesn't exist.",
success_if_fail_with_msg (simps_tac `specify.specify5 tt ff ["snd_snd"])
"Invalid simp-lemma specify.specify5_snd_snd. Too many projections given."
/- We also eta-reduce if we explicitly specify the projection. -/
attribute [simps extra] test
run_cmd do
e ← get_env,
d1 ← e.get `test_extra,
d2 ← e.get `test_extra_2,
guard $ d1.type =ₐ d2.type,
skip
/- check short_name option -/
@[simps short_name] def short_name1 : (ℕ × ℕ) × ℕ × ℕ := ((1, 2), 3, 4)
run_cmd do
e ← get_env,
e.get `short_name1_fst, e.get `short_name1_fst_2,
e.get `short_name1_snd, e.get `short_name1_snd_2
|
4d55e0439d1db754619888351ff3f816d6008c5b | 217bb195841a8be2d1b4edd2084d6b69ccd62f50 | /library/init/lean/compiler/default.lean | d30910f3a6eb854fcea14ccc01b787132edeb8a6 | [
"Apache-2.0"
] | permissive | frank-lesser/lean4 | 717f56c9bacd5bf3a67542d2f5cea721d4743a30 | 79e2abe33f73162f773ea731265e456dbfe822f9 | refs/heads/master | 1,589,741,267,933 | 1,556,424,200,000 | 1,556,424,281,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 211 | 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.compiler.constfolding
|
7025f1a5899b09a8349b281a725bbc0775efad1f | f618aea02cb4104ad34ecf3b9713065cc0d06103 | /src/algebra/archimedean.lean | d6ac88f7e0aeef9a037947b4bc7bd2e8d9af9ae1 | [
"Apache-2.0"
] | permissive | joehendrix/mathlib | 84b6603f6be88a7e4d62f5b1b0cbb523bb82b9a5 | c15eab34ad754f9ecd738525cb8b5a870e834ddc | refs/heads/master | 1,589,606,591,630 | 1,555,946,393,000 | 1,555,946,393,000 | 182,813,854 | 0 | 0 | null | 1,555,946,309,000 | 1,555,946,308,000 | null | UTF-8 | Lean | false | false | 15,912 | lean | /-
Copyright (c) 2018 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro
Archimedean groups and fields.
-/
import algebra.group_power algebra.field_power
import data.rat tactic.linarith tactic.abel
local attribute [instance, priority 0] nat.cast_coe
local attribute [instance, priority 0] int.cast_coe
local attribute [instance, priority 0] rat.cast_coe
local infix ` • ` := add_monoid.smul
variables {α : Type*}
class floor_ring (α) [linear_ordered_ring α] :=
(floor : α → ℤ)
(le_floor : ∀ (z : ℤ) (x : α), z ≤ floor x ↔ (z : α) ≤ x)
instance : floor_ring ℤ :=
{ floor := id, le_floor := λ _ _, by rw int.cast_id; refl }
instance : floor_ring ℚ :=
{ floor := rat.floor, le_floor := @rat.le_floor }
section
variables [linear_ordered_ring α] [floor_ring α]
def floor : α → ℤ := floor_ring.floor
notation `⌊` x `⌋` := floor x
theorem le_floor : ∀ {z : ℤ} {x : α}, z ≤ ⌊x⌋ ↔ (z : α) ≤ x :=
floor_ring.le_floor
theorem floor_lt {x : α} {z : ℤ} : ⌊x⌋ < z ↔ x < z :=
lt_iff_lt_of_le_iff_le le_floor
theorem floor_le (x : α) : (⌊x⌋ : α) ≤ x :=
le_floor.1 (le_refl _)
theorem floor_nonneg {x : α} : 0 ≤ ⌊x⌋ ↔ 0 ≤ x :=
by rw [le_floor]; refl
theorem lt_succ_floor (x : α) : x < ⌊x⌋.succ :=
floor_lt.1 $ int.lt_succ_self _
theorem lt_floor_add_one (x : α) : x < ⌊x⌋ + 1 :=
by simpa only [int.succ, int.cast_add, int.cast_one] using lt_succ_floor x
theorem sub_one_lt_floor (x : α) : x - 1 < ⌊x⌋ :=
sub_lt_iff_lt_add.2 (lt_floor_add_one x)
@[simp] theorem floor_coe (z : ℤ) : ⌊(z:α)⌋ = z :=
eq_of_forall_le_iff $ λ a, by rw [le_floor, int.cast_le]
@[simp] theorem floor_zero : ⌊(0:α)⌋ = 0 := floor_coe 0
@[simp] theorem floor_one : ⌊(1:α)⌋ = 1 :=
by rw [← int.cast_one, floor_coe]
theorem floor_mono {a b : α} (h : a ≤ b) : ⌊a⌋ ≤ ⌊b⌋ :=
le_floor.2 (le_trans (floor_le _) h)
@[simp] theorem floor_add_int (x : α) (z : ℤ) : ⌊x + z⌋ = ⌊x⌋ + z :=
eq_of_forall_le_iff $ λ a, by rw [le_floor,
← sub_le_iff_le_add, ← sub_le_iff_le_add, le_floor, int.cast_sub]
theorem floor_sub_int (x : α) (z : ℤ) : ⌊x - z⌋ = ⌊x⌋ - z :=
eq.trans (by rw [int.cast_neg]; refl) (floor_add_int _ _)
lemma abs_sub_lt_one_of_floor_eq_floor {α : Type*} [decidable_linear_ordered_comm_ring α] [floor_ring α]
{x y : α} (h : ⌊x⌋ = ⌊y⌋) : abs (x - y) < 1 :=
begin
have : x < ⌊x⌋ + 1 := lt_floor_add_one x,
have : y < ⌊y⌋ + 1 := lt_floor_add_one y,
have : (⌊x⌋ : α) = ⌊y⌋ := int.cast_inj.2 h,
have : (⌊x⌋: α) ≤ x := floor_le x,
have : (⌊y⌋ : α) ≤ y := floor_le y,
exact abs_sub_lt_iff.2 ⟨by linarith, by linarith⟩
end
lemma floor_eq_iff {r : α} {z : ℤ} :
⌊r⌋ = z ↔ ↑z ≤ r ∧ r < (z + 1) :=
by rw [←le_floor, ←int.cast_one, ←int.cast_add, ←floor_lt,
int.lt_add_one_iff, le_antisymm_iff, and.comm]
/-- The fractional part fract r of r is just r - ⌊r⌋ -/
def fract (r : α) : α := r - ⌊r⌋
-- Mathematical notation is usually {r}. Let's not even go there.
@[simp] lemma floor_add_fract (r : α) : (⌊r⌋ : α) + fract r = r := by unfold fract; simp
@[simp] lemma fract_add_floor (r : α) : fract r + ⌊r⌋ = r := sub_add_cancel _ _
theorem fract_nonneg (r : α) : 0 ≤ fract r :=
sub_nonneg.2 $ floor_le _
theorem fract_lt_one (r : α) : fract r < 1 :=
sub_lt.1 $ sub_one_lt_floor _
@[simp] lemma fract_zero : fract (0 : α) = 0 := by unfold fract; simp
@[simp] lemma fract_coe (z : ℤ) : fract (z : α) = 0 :=
by unfold fract; rw floor_coe; exact sub_self _
@[simp] lemma fract_floor (r : α) : fract (⌊r⌋ : α) = 0 := fract_coe _
@[simp] lemma floor_fract (r : α) : ⌊fract r⌋ = 0 :=
by rw floor_eq_iff; exact ⟨fract_nonneg _,
by rw [int.cast_zero, zero_add]; exact fract_lt_one r⟩
theorem fract_eq_iff {r s : α} : fract r = s ↔ 0 ≤ s ∧ s < 1 ∧ ∃ z : ℤ, r - s = z :=
⟨λ h, by rw ←h; exact ⟨fract_nonneg _, fract_lt_one _,
⟨⌊r⌋, sub_sub_cancel _ _⟩⟩, begin
intro h,
show r - ⌊r⌋ = s, apply eq.symm,
rw [eq_sub_iff_add_eq, add_comm, ←eq_sub_iff_add_eq],
rcases h with ⟨hge, hlt, ⟨z, hz⟩⟩,
rw [hz, int.cast_inj, floor_eq_iff, ←hz],
clear hz, split; linarith {discharger := `[simp]}
end⟩
theorem fract_eq_fract {r s : α} : fract r = fract s ↔ ∃ z : ℤ, r - s = z :=
⟨λ h, ⟨⌊r⌋ - ⌊s⌋, begin
unfold fract at h, rw [int.cast_sub, sub_eq_sub_iff_sub_eq_sub.1 h],
end⟩,
λ h, begin
rcases h with ⟨z, hz⟩,
rw fract_eq_iff,
split, exact fract_nonneg _,
split, exact fract_lt_one _,
use z + ⌊s⌋,
rw [eq_add_of_sub_eq hz, int.cast_add],
unfold fract, simp
end⟩
@[simp] lemma fract_fract (r : α) : fract (fract r) = fract r :=
by rw fract_eq_fract; exact ⟨-⌊r⌋, by unfold fract;simp⟩
theorem fract_add (r s : α) : ∃ z : ℤ, fract (r + s) - fract r - fract s = z :=
⟨⌊r⌋ + ⌊s⌋ - ⌊r + s⌋, by unfold fract; simp⟩
theorem fract_mul_nat (r : α) (b : ℕ) : ∃ z : ℤ, fract r * b - fract (r * b) = z :=
begin
induction b with c hc,
use 0, simp,
rcases hc with ⟨z, hz⟩,
rw [nat.succ_eq_add_one, nat.cast_add, mul_add, mul_add, nat.cast_one, mul_one, mul_one],
rcases fract_add (r * c) r with ⟨y, hy⟩,
use z - y,
rw [int.cast_sub, ←hz, ←hy],
abel
end
/-- `ceil x` is the smallest integer `z` such that `x ≤ z` -/
def ceil (x : α) : ℤ := -⌊-x⌋
notation `⌈` x `⌉` := ceil x
theorem ceil_le {z : ℤ} {x : α} : ⌈x⌉ ≤ z ↔ x ≤ z :=
by rw [ceil, neg_le, le_floor, int.cast_neg, neg_le_neg_iff]
theorem lt_ceil {x : α} {z : ℤ} : z < ⌈x⌉ ↔ (z:α) < x :=
lt_iff_lt_of_le_iff_le ceil_le
theorem le_ceil (x : α) : x ≤ ⌈x⌉ :=
ceil_le.1 (le_refl _)
@[simp] theorem ceil_coe (z : ℤ) : ⌈(z:α)⌉ = z :=
by rw [ceil, ← int.cast_neg, floor_coe, neg_neg]
theorem ceil_mono {a b : α} (h : a ≤ b) : ⌈a⌉ ≤ ⌈b⌉ :=
ceil_le.2 (le_trans h (le_ceil _))
@[simp] theorem ceil_add_int (x : α) (z : ℤ) : ⌈x + z⌉ = ⌈x⌉ + z :=
by rw [ceil, neg_add', floor_sub_int, neg_sub, sub_eq_neg_add]; refl
theorem ceil_sub_int (x : α) (z : ℤ) : ⌈x - z⌉ = ⌈x⌉ - z :=
eq.trans (by rw [int.cast_neg]; refl) (ceil_add_int _ _)
theorem ceil_lt_add_one (x : α) : (⌈x⌉ : α) < x + 1 :=
by rw [← lt_ceil, ← int.cast_one, ceil_add_int]; apply lt_add_one
lemma ceil_pos {a : α} : 0 < ⌈a⌉ ↔ 0 < a :=
⟨ λ h, have ⌊-a⌋ < 0, from neg_of_neg_pos h,
pos_of_neg_neg $ lt_of_not_ge $ (not_iff_not_of_iff floor_nonneg).1 $ not_le_of_gt this,
λ h, have -a < 0, from neg_neg_of_pos h,
neg_pos_of_neg $ lt_of_not_ge $ (not_iff_not_of_iff floor_nonneg).2 $ not_le_of_gt this ⟩
@[simp] theorem ceil_zero : ⌈(0 : α)⌉ = 0 := by simp [ceil]
lemma ceil_nonneg [decidable_rel ((<) : α → α → Prop)] {q : α} (hq : q ≥ 0) : ⌈q⌉ ≥ 0 :=
if h : q > 0 then le_of_lt $ ceil_pos.2 h
else by rw [le_antisymm (le_of_not_lt h) hq, ceil_zero]; trivial
end
class archimedean (α) [ordered_comm_monoid α] : Prop :=
(arch : ∀ (x : α) {y}, 0 < y → ∃ n : ℕ, x ≤ n • y)
theorem exists_nat_gt [linear_ordered_semiring α] [archimedean α]
(x : α) : ∃ n : ℕ, x < n :=
let ⟨n, h⟩ := archimedean.arch x zero_lt_one in
⟨n+1, lt_of_le_of_lt (by rwa ← add_monoid.smul_one)
(nat.cast_lt.2 (nat.lt_succ_self _))⟩
section linear_ordered_ring
variables [linear_ordered_ring α] [archimedean α]
lemma pow_unbounded_of_gt_one (x : α) {y : α}
(hy1 : 1 < y) : ∃ n : ℕ, x < y ^ n :=
have hy0 : 0 < y - 1 := sub_pos_of_lt hy1,
let ⟨n, h⟩ := archimedean.arch x hy0 in
⟨n, calc x ≤ n • (y - 1) : h
... < 1 + n • (y - 1) : by rw add_comm; exact lt_add_one _
... ≤ y ^ n : pow_ge_one_add_sub_mul (le_of_lt hy1) _⟩
lemma exists_nat_pow_near {x : α} {y : α} (hx : 1 < x) (hy : 1 < y) :
∃ n : ℕ, y ^ n ≤ x ∧ x < y ^ (n + 1) :=
have h : ∃ n : ℕ, x < y ^ n, from pow_unbounded_of_gt_one _ hy,
by classical; exact let n := nat.find h in
have hn : x < y ^ n, from nat.find_spec h,
have hnp : 0 < n, from nat.pos_iff_ne_zero.2 (λ hn0,
by rw [hn0, pow_zero] at hn; exact (not_lt_of_gt hn hx)),
have hnsp : nat.pred n + 1 = n, from nat.succ_pred_eq_of_pos hnp,
have hltn : nat.pred n < n, from nat.pred_lt (ne_of_gt hnp),
⟨nat.pred n, le_of_not_lt (nat.find_min h hltn), by rwa hnsp⟩
theorem exists_int_gt (x : α) : ∃ n : ℤ, x < n :=
let ⟨n, h⟩ := exists_nat_gt x in ⟨n, by rwa ← coe_coe⟩
theorem exists_int_lt (x : α) : ∃ n : ℤ, (n : α) < x :=
let ⟨n, h⟩ := exists_int_gt (-x) in ⟨-n, by rw int.cast_neg; exact neg_lt.1 h⟩
theorem exists_floor (x : α) :
∃ (fl : ℤ), ∀ (z : ℤ), z ≤ fl ↔ (z : α) ≤ x :=
begin
haveI := classical.prop_decidable,
have : ∃ (ub : ℤ), (ub:α) ≤ x ∧ ∀ (z : ℤ), (z:α) ≤ x → z ≤ ub :=
int.exists_greatest_of_bdd
(let ⟨n, hn⟩ := exists_int_gt x in ⟨n, λ z h',
int.cast_le.1 $ le_trans h' $ le_of_lt hn⟩)
(let ⟨n, hn⟩ := exists_int_lt x in ⟨n, le_of_lt hn⟩),
refine this.imp (λ fl h z, _),
cases h with h₁ h₂,
exact ⟨λ h, le_trans (int.cast_le.2 h) h₁, h₂ z⟩,
end
end linear_ordered_ring
section linear_ordered_field
lemma exists_int_pow_near [discrete_linear_ordered_field α] [archimedean α]
{x : α} {y : α} (hx : 0 < x) (hy : 1 < y) :
∃ n : ℤ, y ^ n ≤ x ∧ x < y ^ (n + 1) :=
by classical; exact
let ⟨N, hN⟩ := pow_unbounded_of_gt_one x⁻¹ hy in
have he: ∃ m : ℤ, y ^ m ≤ x, from
⟨-N, le_of_lt (by rw [(fpow_neg y (↑N)), one_div_eq_inv];
exact (inv_lt hx (lt_trans (inv_pos hx) hN)).1 hN)⟩,
let ⟨M, hM⟩ := pow_unbounded_of_gt_one x hy in
have hb: ∃ b : ℤ, ∀ m, y ^ m ≤ x → m ≤ b, from
⟨M, λ m hm, le_of_not_lt (λ hlt, not_lt_of_ge
(fpow_le_of_le (le_of_lt hy) (le_of_lt hlt)) (lt_of_le_of_lt hm hM))⟩,
let ⟨n, hn₁, hn₂⟩ := int.exists_greatest_of_bdd hb he in
⟨n, hn₁, lt_of_not_ge (λ hge, not_le_of_gt (int.lt_succ _) (hn₂ _ hge))⟩
variables [linear_ordered_field α] [floor_ring α]
lemma sub_floor_div_mul_nonneg (x : α) {y : α} (hy : 0 < y) :
0 ≤ x - ⌊x / y⌋ * y :=
begin
conv in x {rw ← div_mul_cancel x (ne_of_lt hy).symm},
rw ← sub_mul,
exact mul_nonneg (sub_nonneg.2 (floor_le _)) (le_of_lt hy)
end
lemma sub_floor_div_mul_lt (x : α) {y : α} (hy : 0 < y) :
x - ⌊x / y⌋ * y < y :=
sub_lt_iff_lt_add.2 begin
conv in y {rw ← one_mul y},
conv in x {rw ← div_mul_cancel x (ne_of_lt hy).symm},
rw ← add_mul,
exact (mul_lt_mul_right hy).2 (by rw add_comm; exact lt_floor_add_one _),
end
end linear_ordered_field
instance : archimedean ℕ :=
⟨λ n m m0, ⟨n, by simpa only [mul_one, nat.smul_eq_mul] using nat.mul_le_mul_left n m0⟩⟩
instance : archimedean ℤ :=
⟨λ n m m0, ⟨n.to_nat, le_trans (int.le_to_nat _) $
by simpa only [add_monoid.smul_eq_mul, int.nat_cast_eq_coe_nat, zero_add, mul_one] using mul_le_mul_of_nonneg_left
(int.add_one_le_iff.2 m0) (int.coe_zero_le n.to_nat)⟩⟩
noncomputable def archimedean.floor_ring (α)
[linear_ordered_ring α] [archimedean α] : floor_ring α :=
{ floor := λ x, classical.some (exists_floor x),
le_floor := λ z x, classical.some_spec (exists_floor x) z }
section linear_ordered_field
variables [linear_ordered_field α]
theorem archimedean_iff_nat_lt :
archimedean α ↔ ∀ x : α, ∃ n : ℕ, x < n :=
⟨@exists_nat_gt α _, λ H, ⟨λ x y y0,
(H (x / y)).imp $ λ n h, le_of_lt $
by rwa [div_lt_iff y0, ← add_monoid.smul_eq_mul] at h⟩⟩
theorem archimedean_iff_nat_le :
archimedean α ↔ ∀ x : α, ∃ n : ℕ, x ≤ n :=
archimedean_iff_nat_lt.trans
⟨λ H x, (H x).imp $ λ _, le_of_lt,
λ H x, let ⟨n, h⟩ := H x in ⟨n+1,
lt_of_le_of_lt h (nat.cast_lt.2 (lt_add_one _))⟩⟩
theorem exists_rat_gt [archimedean α] (x : α) : ∃ q : ℚ, x < q :=
let ⟨n, h⟩ := exists_nat_gt x in ⟨n, by rwa rat.cast_coe_nat⟩
theorem archimedean_iff_rat_lt :
archimedean α ↔ ∀ x : α, ∃ q : ℚ, x < q :=
⟨@exists_rat_gt α _,
λ H, archimedean_iff_nat_lt.2 $ λ x,
let ⟨q, h⟩ := H x in
⟨rat.nat_ceil q, lt_of_lt_of_le h $
by simpa only [rat.cast_coe_nat] using (@rat.cast_le α _ _ _).2 (rat.le_nat_ceil _)⟩⟩
theorem archimedean_iff_rat_le :
archimedean α ↔ ∀ x : α, ∃ q : ℚ, x ≤ q :=
archimedean_iff_rat_lt.trans
⟨λ H x, (H x).imp $ λ _, le_of_lt,
λ H x, let ⟨n, h⟩ := H x in ⟨n+1,
lt_of_le_of_lt h (rat.cast_lt.2 (lt_add_one _))⟩⟩
variable [archimedean α]
theorem exists_rat_lt (x : α) : ∃ q : ℚ, (q : α) < x :=
let ⟨n, h⟩ := exists_int_lt x in ⟨n, by rwa rat.cast_coe_int⟩
theorem exists_rat_btwn {x y : α} (h : x < y) : ∃ q : ℚ, x < q ∧ (q:α) < y :=
begin
cases exists_nat_gt (y - x)⁻¹ with n nh,
cases exists_floor (x * n) with z zh,
refine ⟨(z + 1 : ℤ) / n, _⟩,
have n0 := nat.cast_pos.1 (lt_trans (inv_pos (sub_pos.2 h)) nh),
have n0' := (@nat.cast_pos α _ _).2 n0,
rw [rat.cast_div_of_ne_zero, rat.cast_coe_nat, rat.cast_coe_int, div_lt_iff n0'],
refine ⟨(lt_div_iff n0').2 $
(lt_iff_lt_of_le_iff_le (zh _)).1 (lt_add_one _), _⟩,
rw [int.cast_add, int.cast_one],
refine lt_of_le_of_lt (add_le_add_right ((zh _).1 (le_refl _)) _) _,
rwa [← lt_sub_iff_add_lt', ← sub_mul,
← div_lt_iff' (sub_pos.2 h), one_div_eq_inv],
{ rw [rat.coe_int_denom, nat.cast_one], exact one_ne_zero },
{ intro H, rw [rat.coe_nat_num, ← coe_coe, nat.cast_eq_zero] at H, subst H, cases n0 },
{ rw [rat.coe_nat_denom, nat.cast_one], exact one_ne_zero }
end
theorem exists_nat_one_div_lt {ε : α} (hε : ε > 0) : ∃ n : ℕ, 1 / (n + 1: α) < ε :=
begin
cases archimedean_iff_nat_lt.1 (by apply_instance) (1/ε) with n hn,
existsi n,
apply div_lt_of_mul_lt_of_pos,
{ simp, apply add_pos_of_pos_of_nonneg zero_lt_one, apply nat.cast_nonneg },
{ apply (div_lt_iff' hε).1,
transitivity,
{ exact hn },
{ simp [zero_lt_one] }}
end
theorem exists_pos_rat_lt {x : α} (x0 : 0 < x) : ∃ q : ℚ, 0 < q ∧ (q : α) < x :=
by simpa only [rat.cast_pos] using exists_rat_btwn x0
include α
@[simp] theorem rat.cast_floor (x : ℚ) :
by haveI := archimedean.floor_ring α; exact ⌊(x:α)⌋ = ⌊x⌋ :=
begin
haveI := archimedean.floor_ring α,
apply le_antisymm,
{ rw [le_floor, ← @rat.cast_le α, rat.cast_coe_int],
apply floor_le },
{ rw [le_floor, ← rat.cast_coe_int, rat.cast_le],
apply floor_le }
end
/-- `round` rounds a number to the nearest integer. `round (1 / 2) = 1` -/
def round [floor_ring α] (x : α) : ℤ := ⌊x + 1 / 2⌋
end linear_ordered_field
section
variables [discrete_linear_ordered_field α] [archimedean α]
theorem exists_rat_near (x : α) {ε : α} (ε0 : ε > 0) :
∃ q : ℚ, abs (x - q) < ε :=
let ⟨q, h₁, h₂⟩ := exists_rat_btwn $
lt_trans ((sub_lt_self_iff x).2 ε0) ((lt_add_iff_pos_left x).2 ε0) in
⟨q, abs_sub_lt_iff.2 ⟨sub_lt.1 h₁, sub_lt_iff_lt_add.2 h₂⟩⟩
lemma abs_sub_round [floor_ring α] (x : α) : abs (x - round x) ≤ 1 / 2 :=
begin
rw [round, abs_sub_le_iff],
have := floor_le (x + 1 / 2),
have := lt_floor_add_one (x + 1 / 2),
split; linarith
end
instance : archimedean ℚ :=
archimedean_iff_rat_le.2 $ λ q, ⟨q, by rw rat.cast_id⟩
@[simp] theorem rat.cast_round {α : Type*} [discrete_linear_ordered_field α]
[archimedean α] (x : ℚ) : by haveI := archimedean.floor_ring α;
exact round (x:α) = round x :=
have ((x + (1 : ℚ) / (2 : ℚ) : ℚ) : α) = x + 1 / 2, by simp,
by rw [round, round, ← this, rat.cast_floor]
end
|
d2dc6aa81282fcdf0c1ef25ff0bff5fb01c3d15d | 8d65764a9e5f0923a67fc435eb1a5a1d02fd80e3 | /src/topology/metric_space/holder.lean | 32aff15a77245517ec6046b9d7bf301efe1f4a5a | [
"Apache-2.0"
] | permissive | troyjlee/mathlib | e18d4b8026e32062ab9e89bc3b003a5d1cfec3f5 | 45e7eb8447555247246e3fe91c87066506c14875 | refs/heads/master | 1,689,248,035,046 | 1,629,470,528,000 | 1,629,470,528,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 9,701 | lean | /-
Copyright (c) 2021 Yury G. Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury G. Kudryashov
-/
import topology.metric_space.lipschitz
import analysis.special_functions.pow
/-!
# Hölder continuous functions
In this file we define Hölder continuity on a set and on the whole space. We also prove some basic
properties of Hölder continuous functions.
## Main definitions
* `holder_on_with`: `f : X → Y` is said to be *Hölder continuous* with constant `C : ℝ≥0` and
exponent `r : ℝ≥0` on a set `s`, if `edist (f x) (f y) ≤ C * edist x y ^ r` for all `x y ∈ s`;
* `holder_with`: `f : X → Y` is said to be *Hölder continuous* with constant `C : ℝ≥0` and exponent
`r : ℝ≥0`, if `edist (f x) (f y) ≤ C * edist x y ^ r` for all `x y : X`.
## Implementation notes
We use the type `ℝ≥0` (a.k.a. `nnreal`) for `C` because this type has coercion both to `ℝ` and
`ℝ≥0∞`, so it can be easily used both in inequalities about `dist` and `edist`. We also use `ℝ≥0`
for `r` to ensure that `d ^ r` is monotonically increasing in `d`. It might be a good idea to use
`ℝ>0` for `r` but we don't have this type in `mathlib` (yet).
## Tags
Hölder continuity, Lipschitz continuity
-/
variables {X Y Z : Type*}
open filter set
open_locale nnreal ennreal topological_space
section emetric
variables [pseudo_emetric_space X] [pseudo_emetric_space Y] [pseudo_emetric_space Z]
/-- A function `f : X → Y` between two `pseudo_emetric_space`s is Hölder continuous with constant
`C : ℝ≥0` and exponent `r : ℝ≥0`, if `edist (f x) (f y) ≤ C * edist x y ^ r` for all `x y : X`. -/
def holder_with (C r : ℝ≥0) (f : X → Y) : Prop :=
∀ x y, edist (f x) (f y) ≤ C * edist x y ^ (r : ℝ)
/-- A function `f : X → Y` between two `pseudo_emeteric_space`s is Hölder continuous with constant
`C : ℝ≥0` and exponent `r : ℝ≥0` on a set `s : set X`, if `edist (f x) (f y) ≤ C * edist x y ^ r`
for all `x y ∈ s`. -/
def holder_on_with (C r : ℝ≥0) (f : X → Y) (s : set X) : Prop :=
∀ (x ∈ s) (y ∈ s), edist (f x) (f y) ≤ C * edist x y ^ (r : ℝ)
@[simp] lemma holder_on_with_empty (C r : ℝ≥0) (f : X → Y) : holder_on_with C r f ∅ :=
λ x hx, hx.elim
@[simp] lemma holder_on_with_singleton (C r : ℝ≥0) (f : X → Y) (x : X) : holder_on_with C r f {x} :=
by { rintro a (rfl : a = x) b (rfl : b = a), rw edist_self, exact zero_le _ }
lemma set.subsingleton.holder_on_with {s : set X} (hs : s.subsingleton) (C r : ℝ≥0) (f : X → Y) :
holder_on_with C r f s :=
hs.induction_on (holder_on_with_empty C r f) (holder_on_with_singleton C r f)
lemma holder_on_with_univ {C r : ℝ≥0} {f : X → Y} :
holder_on_with C r f univ ↔ holder_with C r f :=
by simp only [holder_on_with, holder_with, mem_univ, true_implies_iff]
@[simp] lemma holder_on_with_one {C : ℝ≥0} {f : X → Y} {s : set X} :
holder_on_with C 1 f s ↔ lipschitz_on_with C f s :=
by simp only [holder_on_with, lipschitz_on_with, nnreal.coe_one, ennreal.rpow_one]
alias holder_on_with_one ↔ _ lipschitz_on_with.holder_on_with
@[simp] lemma holder_with_one {C : ℝ≥0} {f : X → Y} :
holder_with C 1 f ↔ lipschitz_with C f :=
holder_on_with_univ.symm.trans $ holder_on_with_one.trans lipschitz_on_univ
alias holder_with_one ↔ _ lipschitz_with.holder_with
lemma holder_with_id : holder_with 1 1 (id : X → X) :=
lipschitz_with.id.holder_with
protected lemma holder_with.holder_on_with {C r : ℝ≥0} {f : X → Y} (h : holder_with C r f)
(s : set X) :
holder_on_with C r f s :=
λ x _ y _, h x y
namespace holder_on_with
variables {C r : ℝ≥0} {f : X → Y} {s t : set X}
lemma edist_le (h : holder_on_with C r f s) {x y : X} (hx : x ∈ s) (hy : y ∈ s) :
edist (f x) (f y) ≤ C * edist x y ^ (r : ℝ) :=
h x hx y hy
lemma edist_le_of_le (h : holder_on_with C r f s) {x y : X} (hx : x ∈ s) (hy : y ∈ s)
{d : ℝ≥0∞} (hd : edist x y ≤ d) :
edist (f x) (f y) ≤ C * d ^ (r : ℝ) :=
(h.edist_le hx hy).trans (mul_le_mul_left' (ennreal.rpow_le_rpow hd r.coe_nonneg) _)
lemma comp {Cg rg : ℝ≥0} {g : Y → Z} {t : set Y} (hg : holder_on_with Cg rg g t)
{Cf rf : ℝ≥0} {f : X → Y} (hf : holder_on_with Cf rf f s) (hst : maps_to f s t) :
holder_on_with (Cg * Cf ^ (rg : ℝ)) (rg * rf) (g ∘ f) s :=
begin
intros x hx y hy,
rw [ennreal.coe_mul, mul_comm rg, nnreal.coe_mul, ennreal.rpow_mul, mul_assoc,
← ennreal.coe_rpow_of_nonneg _ rg.coe_nonneg, ← ennreal.mul_rpow_of_nonneg _ _ rg.coe_nonneg],
exact hg.edist_le_of_le (hst hx) (hst hy) (hf.edist_le hx hy)
end
lemma comp_holder_with {Cg rg : ℝ≥0} {g : Y → Z} {t : set Y} (hg : holder_on_with Cg rg g t)
{Cf rf : ℝ≥0} {f : X → Y} (hf : holder_with Cf rf f) (ht : ∀ x, f x ∈ t) :
holder_with (Cg * Cf ^ (rg : ℝ)) (rg * rf) (g ∘ f) :=
holder_on_with_univ.mp $ hg.comp (hf.holder_on_with univ) (λ x _, ht x)
/-- A Hölder continuous function is uniformly continuous -/
protected lemma uniform_continuous_on (hf : holder_on_with C r f s) (h0 : 0 < r) :
uniform_continuous_on f s :=
begin
refine emetric.uniform_continuous_on_iff.2 (λε εpos, _),
have : tendsto (λ d : ℝ≥0∞, (C : ℝ≥0∞) * d ^ (r : ℝ)) (𝓝 0) (𝓝 0),
from ennreal.tendsto_const_mul_rpow_nhds_zero_of_pos ennreal.coe_ne_top h0,
rcases ennreal.nhds_zero_basis.mem_iff.1 (this (gt_mem_nhds εpos)) with ⟨δ, δ0, H⟩,
exact ⟨δ, δ0, λ x y hx hy h, (hf.edist_le hx hy).trans_lt (H h)⟩,
end
protected lemma continuous_on (hf : holder_on_with C r f s) (h0 : 0 < r) : continuous_on f s :=
(hf.uniform_continuous_on h0).continuous_on
protected lemma mono (hf : holder_on_with C r f s) (ht : t ⊆ s) : holder_on_with C r f t :=
λ x hx y hy, hf.edist_le (ht hx) (ht hy)
lemma ediam_image_le_of_le (hf : holder_on_with C r f s) {d : ℝ≥0∞} (hd : emetric.diam s ≤ d) :
emetric.diam (f '' s) ≤ C * d ^ (r : ℝ) :=
emetric.diam_image_le_iff.2 $ λ x hx y hy, hf.edist_le_of_le hx hy $
(emetric.edist_le_diam_of_mem hx hy).trans hd
lemma ediam_image_le (hf : holder_on_with C r f s) :
emetric.diam (f '' s) ≤ C * emetric.diam s ^ (r : ℝ) :=
hf.ediam_image_le_of_le le_rfl
lemma ediam_image_le_of_subset (hf : holder_on_with C r f s) (ht : t ⊆ s) :
emetric.diam (f '' t) ≤ C * emetric.diam t ^ (r : ℝ) :=
(hf.mono ht).ediam_image_le
lemma ediam_image_le_of_subset_of_le (hf : holder_on_with C r f s) (ht : t ⊆ s) {d : ℝ≥0∞}
(hd : emetric.diam t ≤ d) :
emetric.diam (f '' t) ≤ C * d ^ (r : ℝ) :=
(hf.mono ht).ediam_image_le_of_le hd
lemma ediam_image_inter_le_of_le (hf : holder_on_with C r f s) {d : ℝ≥0∞}
(hd : emetric.diam t ≤ d) :
emetric.diam (f '' (t ∩ s)) ≤ C * d ^ (r : ℝ) :=
hf.ediam_image_le_of_subset_of_le (inter_subset_right _ _) $
(emetric.diam_mono $ inter_subset_left _ _).trans hd
lemma ediam_image_inter_le (hf : holder_on_with C r f s) (t : set X) :
emetric.diam (f '' (t ∩ s)) ≤ C * emetric.diam t ^ (r : ℝ) :=
hf.ediam_image_inter_le_of_le le_rfl
end holder_on_with
namespace holder_with
variables {C r : ℝ≥0} {f : X → Y}
lemma edist_le (h : holder_with C r f) (x y : X) :
edist (f x) (f y) ≤ C * edist x y ^ (r : ℝ) :=
h x y
lemma edist_le_of_le (h : holder_with C r f) {x y : X} {d : ℝ≥0∞} (hd : edist x y ≤ d) :
edist (f x) (f y) ≤ C * d ^ (r : ℝ) :=
(h.holder_on_with univ).edist_le_of_le trivial trivial hd
lemma comp {Cg rg : ℝ≥0} {g : Y → Z} (hg : holder_with Cg rg g)
{Cf rf : ℝ≥0} {f : X → Y} (hf : holder_with Cf rf f) :
holder_with (Cg * Cf ^ (rg : ℝ)) (rg * rf) (g ∘ f) :=
(hg.holder_on_with univ).comp_holder_with hf (λ _, trivial)
lemma comp_holder_on_with {Cg rg : ℝ≥0} {g : Y → Z} (hg : holder_with Cg rg g)
{Cf rf : ℝ≥0} {f : X → Y} {s : set X} (hf : holder_on_with Cf rf f s) :
holder_on_with (Cg * Cf ^ (rg : ℝ)) (rg * rf) (g ∘ f) s :=
(hg.holder_on_with univ).comp hf (λ _ _, trivial)
/-- A Hölder continuous function is uniformly continuous -/
protected lemma uniform_continuous (hf : holder_with C r f) (h0 : 0 < r) : uniform_continuous f :=
uniform_continuous_on_univ.mp $ (hf.holder_on_with univ).uniform_continuous_on h0
protected lemma continuous (hf : holder_with C r f) (h0 : 0 < r) : continuous f :=
(hf.uniform_continuous h0).continuous
lemma ediam_image_le (hf : holder_with C r f) (s : set X) :
emetric.diam (f '' s) ≤ C * emetric.diam s ^ (r : ℝ) :=
emetric.diam_image_le_iff.2 $ λ x hx y hy, hf.edist_le_of_le $ emetric.edist_le_diam_of_mem hx hy
end holder_with
end emetric
section metric
variables [pseudo_metric_space X] [pseudo_metric_space Y] {C r : ℝ≥0} {f : X → Y}
namespace holder_with
lemma nndist_le_of_le (hf : holder_with C r f) {x y : X} {d : ℝ≥0} (hd : nndist x y ≤ d) :
nndist (f x) (f y) ≤ C * d ^ (r : ℝ) :=
begin
rw [← ennreal.coe_le_coe, ← edist_nndist, ennreal.coe_mul,
← ennreal.coe_rpow_of_nonneg _ r.coe_nonneg],
apply hf.edist_le_of_le,
rwa [edist_nndist, ennreal.coe_le_coe],
end
lemma nndist_le (hf : holder_with C r f) (x y : X) :
nndist (f x) (f y) ≤ C * nndist x y ^ (r : ℝ) :=
hf.nndist_le_of_le le_rfl
lemma dist_le_of_le (hf : holder_with C r f) {x y : X} {d : ℝ} (hd : dist x y ≤ d) :
dist (f x) (f y) ≤ C * d ^ (r : ℝ) :=
begin
lift d to ℝ≥0 using dist_nonneg.trans hd,
rw dist_nndist at hd ⊢,
norm_cast at hd ⊢,
exact hf.nndist_le_of_le hd
end
lemma dist_le (hf : holder_with C r f) (x y : X) :
dist (f x) (f y) ≤ C * dist x y ^ (r : ℝ) :=
hf.dist_le_of_le le_rfl
end holder_with
end metric
|
6c8b0f06ece3a913ef89fa366f75114854b9508d | b7f22e51856f4989b970961f794f1c435f9b8f78 | /library/algebra/ring_bigops.lean | de64b7963fea65e39bbb23b199bf2b3497332e0d | [
"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 | 6,051 | lean | /-
Copyright (c) 2015 Jeremy Avigad. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Author: Jeremy Avigad
Properties of finite sums and products in various structures, including ordered rings and fields.
There are two versions of every theorem: one for finsets, and one for finite sets.
-/
import .group_bigops .ordered_field
variables {A B : Type}
variable [deceqA : decidable_eq A]
/-
-- finset versions
-/
namespace finset
section comm_semiring
variable [csB : comm_semiring B]
include deceqA csB
proposition mul_Sum (f : A → B) {s : finset A} (b : B) :
b * (∑ x ∈ s, f x) = ∑ x ∈ s, b * f x :=
begin
induction s with a s ans ih,
{rewrite [+Sum_empty, mul_zero]},
rewrite [Sum_insert_of_not_mem f ans, Sum_insert_of_not_mem (λ x, b * f x) ans],
rewrite [-ih, left_distrib]
end
proposition Sum_mul (f : A → B) {s : finset A} (b : B) :
(∑ x ∈ s, f x) * b = ∑ x ∈ s, f x * b :=
by rewrite [mul.comm _ b, mul_Sum]; apply Sum_ext; intros; apply mul.comm
proposition Prod_eq_zero (f : A → B) {s : finset A} {a : A} (H : a ∈ s) (fa0 : f a = 0) :
(∏ x ∈ s, f x) = 0 :=
begin
induction s with b s bns ih,
{exact absurd H !not_mem_empty},
rewrite [Prod_insert_of_not_mem f bns],
have a = b ∨ a ∈ s, from eq_or_mem_of_mem_insert H,
cases this with aeqb ains,
{rewrite [-aeqb, fa0, zero_mul]},
rewrite [ih ains, mul_zero]
end
end comm_semiring
section ordered_comm_group
variable [ocgB : ordered_comm_group B]
include deceqA ocgB
proposition Sum_le_Sum (f g : A → B) {s : finset A} (H: ∀ x, x ∈ s → f x ≤ g x) :
(∑ x ∈ s, f x) ≤ (∑ x ∈ s, g x) :=
begin
induction s with a s ans ih,
{exact le.refl _},
have H1 : f a ≤ g a, from H _ !mem_insert,
have H2 : (∑ x ∈ s, f x) ≤ (∑ x ∈ s, g x), from ih (forall_of_forall_insert H),
rewrite [Sum_insert_of_not_mem f ans, Sum_insert_of_not_mem g ans],
apply add_le_add H1 H2
end
proposition Sum_nonneg (f : A → B) {s : finset A} (H : ∀x, x ∈ s → f x ≥ 0) :
(∑ x ∈ s, f x) ≥ 0 :=
calc
0 = (∑ x ∈ s, 0) : Sum_zero
... ≤ (∑ x ∈ s, f x) : Sum_le_Sum (λ x, 0) f H
proposition Sum_nonpos (f : A → B) {s : finset A} (H : ∀x, x ∈ s → f x ≤ 0) :
(∑ x ∈ s, f x) ≤ 0 :=
calc
0 = (∑ x ∈ s, 0) : Sum_zero
... ≥ (∑ x ∈ s, f x) : Sum_le_Sum f (λ x, 0) H
end ordered_comm_group
section decidable_linear_ordered_comm_group
variable [dloocgB : decidable_linear_ordered_comm_group B]
include deceqA dloocgB
proposition abs_Sum_le (f : A → B) (s : finset A) : abs (∑ x ∈ s, f x) ≤ (∑ x ∈ s, abs (f x)) :=
begin
induction s with a s ans ih,
{rewrite [+Sum_empty, abs_zero]},
rewrite [Sum_insert_of_not_mem f ans, Sum_insert_of_not_mem _ ans],
apply le.trans,
apply abs_add_le_abs_add_abs,
apply add_le_add_left ih
end
end decidable_linear_ordered_comm_group
end finset
/-
-- set versions
-/
namespace set
open classical
section comm_semiring
variable [csB : comm_semiring B]
include csB
proposition mul_Sum (f : A → B) {s : set A} (b : B) :
b * (∑ x ∈ s, f x) = ∑ x ∈ s, b * f x :=
begin
cases (em (finite s)) with fins nfins,
rotate 1,
{rewrite [+Sum_of_not_finite nfins, mul_zero]},
induction fins with a s fins ans ih,
{rewrite [+Sum_empty, mul_zero]},
rewrite [Sum_insert_of_not_mem f ans, Sum_insert_of_not_mem (λ x, b * f x) ans],
rewrite [-ih, left_distrib]
end
proposition Sum_mul (f : A → B) {s : set A} (b : B) :
(∑ x ∈ s, f x) * b = ∑ x ∈ s, f x * b :=
by rewrite [mul.comm _ b, mul_Sum]; apply Sum_ext; intros; apply mul.comm
proposition Prod_eq_zero (f : A → B) {s : set A} [fins : finite s] {a : A} (H : a ∈ s) (fa0 : f a = 0) :
(∏ x ∈ s, f x) = 0 :=
begin
induction fins with b s fins bns ih,
{exact absurd H !not_mem_empty},
rewrite [Prod_insert_of_not_mem f bns],
have a = b ∨ a ∈ s, from eq_or_mem_of_mem_insert H,
cases this with aeqb ains,
{rewrite [-aeqb, fa0, zero_mul]},
rewrite [ih ains, mul_zero]
end
end comm_semiring
section ordered_comm_group
variable [ocgB : ordered_comm_group B]
include ocgB
proposition Sum_le_Sum (f g : A → B) {s : set A} (H: ∀₀ x ∈ s, f x ≤ g x) :
(∑ x ∈ s, f x) ≤ (∑ x ∈ s, g x) :=
begin
cases (em (finite s)) with fins nfins,
{induction fins with a s fins ans ih,
{rewrite +Sum_empty},
{rewrite [Sum_insert_of_not_mem f ans, Sum_insert_of_not_mem g ans],
have H1 : f a ≤ g a, from H !mem_insert,
have H2 : (∑ x ∈ s, f x) ≤ (∑ x ∈ s, g x), from ih (forall_of_forall_insert H),
apply add_le_add H1 H2}},
rewrite [+Sum_of_not_finite nfins]
end
proposition Sum_nonneg (f : A → B) {s : set A} (H : ∀₀ x ∈ s, f x ≥ 0) :
(∑ x ∈ s, f x) ≥ 0 :=
calc
0 = (∑ x ∈ s, 0) : Sum_zero
... ≤ (∑ x ∈ s, f x) : Sum_le_Sum (λ x, 0) f H
proposition Sum_nonpos (f : A → B) {s : set A} (H : ∀₀ x ∈ s, f x ≤ 0) :
(∑ x ∈ s, f x) ≤ 0 :=
calc
0 = (∑ x ∈ s, 0) : Sum_zero
... ≥ (∑ x ∈ s, f x) : Sum_le_Sum f (λ x, 0) H
end ordered_comm_group
section decidable_linear_ordered_comm_group
variable [dloocgB : decidable_linear_ordered_comm_group B]
include deceqA dloocgB
proposition abs_Sum_le (f : A → B) (s : set A) : abs (∑ x ∈ s, f x) ≤ (∑ x ∈ s, abs (f x)) :=
begin
cases (em (finite s)) with fins nfins,
rotate 1,
{rewrite [+Sum_of_not_finite nfins, abs_zero]},
induction fins with a s fins ans ih,
{rewrite [+Sum_empty, abs_zero]},
rewrite [Sum_insert_of_not_mem f ans, Sum_insert_of_not_mem _ ans],
apply le.trans,
apply abs_add_le_abs_add_abs,
apply add_le_add_left ih
end
end decidable_linear_ordered_comm_group
end set
|
7ea87b6e4601e7a7c82bf38b40e53b1508040a99 | 1b8f093752ba748c5ca0083afef2959aaa7dace5 | /src/category_theory/examples/graphs.lean | 06872140305927b2dd5d328ac667e5a13537d896 | [] | no_license | khoek/lean-category-theory | 7ec4cda9cc64a5a4ffeb84712ac7d020dbbba386 | 63dcb598e9270a3e8b56d1769eb4f825a177cd95 | refs/heads/master | 1,585,251,725,759 | 1,539,344,445,000 | 1,539,344,445,000 | 145,281,070 | 0 | 0 | null | 1,534,662,376,000 | 1,534,662,376,000 | null | UTF-8 | Lean | false | false | 1,291 | 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 category_theory.category
import category_theory.graphs
open category_theory
open category_theory.graphs
namespace category_theory.examples.graphs
universe u₁
def Graph := Σ α : Type (u₁+1), graph α
instance graph_from_Graph (G : Graph) : graph G.1 := G.2
structure GraphHomomorphism (G H : Graph.{u₁}) : Type (u₁+1) :=
(map : @graph_homomorphism G.1 G.2 H.1 H.2)
@[extensionality] lemma graph_homomorphisms_pointwise_equal
{G H : Graph.{u₁}}
{p q : GraphHomomorphism G H}
(vertexWitness : ∀ X : G.1, p.map.onVertices X = q.map.onVertices X)
(edgeWitness : ∀ X Y : G.1, ∀ f : edges X Y, ⟬ p.map.onEdges f ⟭ = q.map.onEdges f ) : p = q :=
begin
induction p,
induction q,
tidy,
tactic.result -- Heisenbug?
end
instance CategoryOfGraphs : large_category Graph := {
hom := GraphHomomorphism,
id := λ G, ⟨ {
onVertices := id,
onEdges := λ _ _ f, f
} ⟩,
comp := λ G H K f g, ⟨ {
onVertices := λ v, g.map.onVertices (f.map.onVertices v),
onEdges := λ v w e, g.map.onEdges (f.map.onEdges e)
} ⟩
}
end category_theory.examples.graphs |
c19cbc61105248b11ad2ff4e1c1aa0cf26766922 | 5bf112cf7101c6c6303dc3fd0b3179c860e61e56 | /lean/problems/number_theory/imo_2018_sl.lean | ba2a2f19cc71775adf990678fa2ea1accfdc2f1a | [
"Apache-2.0"
] | permissive | fredfeng/formal-encoding | 7ab645f49a553dfad2af03fcb4289e40fc679759 | 024efcf58672ac6b817caa10dfe8cd9708b07f1b | refs/heads/master | 1,597,236,551,123 | 1,568,832,149,000 | 1,568,832,149,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 2,229 | lean | import background
namespace IMOGrandChallenge
namespace Problems
namespace NumberTheory
def IMO_2018_SL_N1 : Type :=
-- note: assuming divisors returns a multiset (list would do as well)
determine $ λ (nk : ℕgt0 × ℕgt0) =>
match nk with
| n, k => n ≠ k ∧ ∃ (s : ℕgt0), |divisors (s * n)| = |divisors (s * k)|
def IMO_2018_SL_N2 : Prop :=
-- note: want `≅ (mod n)`, not `% n == 1`
-- note: cumbersome formulation but no conceptual barriers
∀ (n : ℕ), n > 1 →
∀ (table : Fin n → Fin n → ℤ),
∀ i j, table i j % n = 1 →
∀ i, sum (λ j => table i j) % n^2 = n →
∀ j, sum (λ i => table i j) % n^2 = n →
let R := λ i => prod (λ j => table i j);
let C := λ j => prod (λ i => table i j);
sum R % n^4 = sum C % n^4
def IMO_2018_SL_N3 : Prop :=
-- note: currently using that ℕ-division takes floor implicitly
-- (this is unacceptable)
let a : ℕ → ℕ := λ n => 2^n + 2^(n/2);
let s₁ : Set ℕ := λ n => ∃ i j, a n = a i + a j;
infinite s₁ ∧ infinite s₁.complement
def IMO_2018_SL_N4 : Prop :=
-- note: the `toRat` is hideous
∀ (a : ℕgt0 → ℕgt0),
(∃ (k : ℕgt0), ∀ (n : ℕgt0), n ≥ k → (sum (map (λ i => (a i).toRat / a (i + 1)) (List.range n))).isInt) →
∃ (m : ℕgt0), ∀ n, n ≥ m → a n = a (n+1)
def IMO_2018_SL_N5 : Prop :=
-- note: design freedom on this one
-- (was phrased as "suppose ... is it possible that ...")
-- note: the set of 4-tuples is hideous, as is the match
decide (empty $ λ (xyzt : ℕgt0 × ℕgt0 × ℕgt0 × ℕgt0) =>
match xyzt with
| (x, y, z, t) => x * y - z * t = x + y ∧ x + y = z + t
∧ perfectSquare (x * y) ∧ perfectSquare (z * t))
def IMO_2018_SL_N6 : Prop :=
-- note: nicer for `f` to return subtype
∀ (f : ℕgt0 → ℕ), (∀ n => f n > 1) →
∀ m n, f (m + n) | f m + f n →
∃ (c : ℕgt0), ∀ n, divides c (f n)
def IMO_2018_SL_N7 : Prop :=
∀ (n : ℕ), n ≥ 2018 →
∀ (a b : Vec ℕ n), pairwiseDistinct a b → a.all (λ x => x ≤ 5 * n) → b.all (λ x => x ≤ 5 * n) →
let seq := (mkVec $ λ i => (b i).toRat / a i);
arithmeticProgress seq → allSame seq
end NumberTheory
end Problems
end IMOGrandChallenge
|
f68147e922ccc102ffe88e31c6674f7bced98c41 | d436468d80b739ba7e06843c4d0d2070e43448e5 | /src/data/setoid.lean | 0824a600abe271cc794ef1e2db50d134f418a7d0 | [
"Apache-2.0"
] | permissive | roro47/mathlib | 761fdc002aef92f77818f3fef06bf6ec6fc1a28e | 80aa7d52537571a2ca62a3fdf71c9533a09422cf | refs/heads/master | 1,599,656,410,625 | 1,573,649,488,000 | 1,573,649,488,000 | 221,452,951 | 0 | 0 | Apache-2.0 | 1,573,647,693,000 | 1,573,647,692,000 | null | UTF-8 | Lean | false | false | 24,295 | lean | /-
Copyright (c) 2019 Amelia Livingston. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Amelia Livingston, Bryan Gin-ge Chen
-/
import data.quot data.set.lattice data.fintype order.galois_connection
/-!
# Equivalence relations
The first section of the file defines the complete lattice of equivalence relations
on a type, results about the inductively defined equivalence closure of a binary relation,
and the analogues of some isomorphism theorems for quotients of arbitrary types.
The second section comprises properties of equivalence relations viewed as partitions.
## Implementation notes
The function `rel` and lemmas ending in ' make it easier to talk about different
equivalence relations on the same type.
The complete lattice instance for equivalence relations could have been defined by lifting
the Galois insertion of equivalence relations on α into binary relations on α, and then using
`complete_lattice.copy` to define a complete lattice instance with more appropriate
definitional equalities (a similar example is `filter.lattice.complete_lattice` in
`order/filter/basic.lean`). This does not save space, however, and is less clear.
Partitions are not defined as a separate structure here; users are encouraged to
reason about them using the existing `setoid` and its infrastructure.
## Tags
setoid, equivalence, iseqv, relation, equivalence relation, partition, equivalence
class
-/
variables {α : Type*} {β : Type*}
open lattice
/-- A version of `setoid.r` that takes the equivalence relation as an explicit argument. -/
def setoid.rel (r : setoid α) : α → α → Prop := @setoid.r _ r
/-- A version of `quotient.eq'` compatible with `setoid.rel`, to make rewriting possible. -/
lemma quotient.eq_rel {r : setoid α} {x y} : ⟦x⟧ = ⟦y⟧ ↔ r.rel x y := quotient.eq'
namespace setoid
@[ext] lemma ext' {r s : setoid α} (H : ∀ a b, r.rel a b ↔ s.rel a b) :
r = s := ext H
lemma ext_iff {r s : setoid α} : r = s ↔ ∀ a b, r.rel a b ↔ s.rel a b :=
⟨λ h a b, h ▸ iff.rfl, ext'⟩
/-- Two equivalence relations are equal iff their underlying binary operations are equal. -/
theorem eq_iff_rel_eq {r₁ r₂ : setoid α} : r₁ = r₂ ↔ r₁.rel = r₂.rel :=
⟨λ h, h ▸ rfl, λ h, setoid.ext' $ λ x y, h ▸ iff.rfl⟩
/-- Defining `≤` for equivalence relations. -/
instance : has_le (setoid α) := ⟨λ r s, ∀ x y, r.rel x y → s.rel x y⟩
theorem le_def {r s : setoid α} : r ≤ s ↔ ∀ {x y}, r.rel x y → s.rel x y := iff.rfl
@[refl] lemma refl' (r : setoid α) (x) : r.rel x x := r.2.1 x
@[symm] lemma symm' (r : setoid α) : ∀ {x y}, r.rel x y → r.rel y x := λ _ _ h, r.2.2.1 h
@[trans] lemma trans' (r : setoid α) : ∀ {x y z}, r.rel x y → r.rel y z → r.rel x z :=
λ _ _ _ hx, r.2.2.2 hx
/-- The kernel of a function is an equivalence relation. -/
def ker (f : α → β) : setoid α :=
⟨λ x y, f x = f y, ⟨λ _, rfl, λ _ _ h, h.symm, λ _ _ _ h, h.trans⟩⟩
/-- The kernel of the quotient map induced by an equivalence relation r equals r. -/
@[simp] lemma ker_mk_eq (r : setoid α) : ker (@quotient.mk _ r) = r :=
ext' $ λ x y, quotient.eq
/-- The infimum of two equivalence relations. -/
instance : has_inf (setoid α) :=
⟨λ r s, ⟨λ x y, r.rel x y ∧ s.rel x y, ⟨λ x, ⟨r.refl' x, s.refl' x⟩,
λ _ _ h, ⟨r.symm' h.1, s.symm' h.2⟩,
λ _ _ _ h1 h2, ⟨r.trans' h1.1 h2.1, s.trans' h1.2 h2.2⟩⟩⟩⟩
/-- The infimum of 2 equivalence relations r and s is the same relation as the infimum
of the underlying binary operations. -/
lemma inf_def {r s : setoid α} : (r ⊓ s).rel = r.rel ⊓ s.rel := rfl
theorem inf_iff_and {r s : setoid α} {x y} :
(r ⊓ s).rel x y ↔ r.rel x y ∧ s.rel x y := iff.rfl
/-- The infimum of a set of equivalence relations. -/
instance : has_Inf (setoid α) :=
⟨λ S, ⟨λ x y, ∀ r ∈ S, rel r x y,
⟨λ x r hr, r.refl' x, λ _ _ h r hr, r.symm' $ h r hr,
λ _ _ _ h1 h2 r hr, r.trans' (h1 r hr) $ h2 r hr⟩⟩⟩
/-- The underlying binary operation of the infimum of a set of equivalence relations
is the infimum of the set's image under the map to the underlying binary operation. -/
theorem Inf_def {s : set (setoid α)} : (Inf s).rel = Inf (rel '' s) :=
by { ext, simp only [Inf_image, infi_apply, infi_Prop_eq], refl }
/-- The infimum of a set of equivalence relations is contained in any element of the set. -/
lemma Inf_le (S : set (setoid α)) (r ∈ S) : Inf S ≤ r :=
λ _ _ h, h r H
/-- If an equivalence relation r is contained in every element of a set of equivalence relations,
r is contained in the infimum of the set. -/
lemma le_Inf (S : set (setoid α)) (r) : (∀ s ∈ S, r ≤ s) → r ≤ Inf S :=
λ H _ _ h s hs, H s hs _ _ h
/-- The inductively defined equivalence closure of a binary relation r is the infimum
of the set of all equivalence relations containing r. -/
theorem eqv_gen_eq (r : α → α → Prop) :
eqv_gen.setoid r = Inf {s : setoid α | ∀ x y, r x y → s.rel x y} :=
setoid.ext' $ λ _ _,
⟨λ H, eqv_gen.rec (λ _ _ h _ hs, hs _ _ h) (refl' _)
(λ _ _ _, symm' _) (λ _ _ _ _ _, trans' _) H,
Inf_le _ _ (λ _ _, eqv_gen.rel _ _) _ _⟩
/-- The supremum of two equivalence relations, defined as the infimum of the set of
equivalence relations containing both. -/
instance : has_sup (setoid α) := ⟨λ r s, Inf {x | r ≤ x ∧ s ≤ x}⟩
/-- The supremum of two equivalence relations r and s is the equivalence closure of the binary
relation `x is related to y by r or s`. -/
lemma sup_eq_eqv_gen (r s : setoid α) :
r ⊔ s = eqv_gen.setoid (λ x y, r.rel x y ∨ s.rel x y) :=
begin
rw eqv_gen_eq,
apply congr_arg Inf,
ext,
exact ⟨λ h _ _ H, or.elim H (h.1 _ _) (h.2 _ _),
λ H, ⟨λ _ _ h, H _ _ $ or.inl h, λ _ _ h, H _ _ $ or.inr h⟩⟩
end
/-- The supremum of 2 equivalence relations r and s is the equivalence closure of the
supremum of the underlying binary operations. -/
lemma sup_def {r s : setoid α} : r ⊔ s = eqv_gen.setoid (r.rel ⊔ s.rel) :=
by rw sup_eq_eqv_gen; refl
/-- The complete lattice of equivalence relations on a type, with bottom element `=`
and top element the trivial equivalence relation. -/
instance complete_lattice : complete_lattice (setoid α) :=
{ sup := has_sup.sup,
le := (≤),
lt := λ r s, r ≤ s ∧ ¬s ≤ r,
le_refl := λ _ _ _, id,
le_trans := λ _ _ _ hr hs _ _ h, hs _ _ $ hr _ _ h,
lt_iff_le_not_le := λ _ _, iff.rfl,
le_antisymm := λ r s h1 h2, setoid.ext' $ λ x y, ⟨h1 x y, h2 x y⟩,
le_sup_left := λ r s, le_Inf _ r $ λ _ hx, hx.1,
le_sup_right := λ r s, le_Inf _ s $ λ _ hx, hx.2,
sup_le := λ r s t h1 h2, Inf_le _ t ⟨h1, h2⟩,
inf := has_inf.inf,
inf_le_left := λ _ _ _ _ h, h.1,
inf_le_right := λ _ _ _ _ h, h.2,
le_inf := λ _ _ _ h1 h2 _ _ h, ⟨h1 _ _ h, h2 _ _ h⟩,
top := ⟨λ _ _, true, ⟨λ _, trivial, λ _ _ h, h, λ _ _ _ h1 h2, h1⟩⟩,
le_top := λ _ _ _ _, trivial,
bot := ⟨(=), ⟨λ _, rfl, λ _ _ h, h.symm, λ _ _ _ h1 h2, h1.trans h2⟩⟩,
bot_le := λ r x y h, h ▸ r.2.1 x,
Sup := λ tt, Inf {t | ∀ t'∈tt, t' ≤ t},
Inf := has_Inf.Inf,
le_Sup := λ _ _ hs, le_Inf _ _ $ λ r hr, hr _ hs,
Sup_le := λ _ _ hs, Inf_le _ _ hs,
Inf_le := Inf_le,
le_Inf := le_Inf }
/-- The supremum of a set S of equivalence relations is the equivalence closure of the binary
relation `there exists r ∈ S relating x and y`. -/
lemma Sup_eq_eqv_gen (S : set (setoid α)) :
Sup S = eqv_gen.setoid (λ x y, ∃ r : setoid α, r ∈ S ∧ r.rel x y) :=
begin
rw eqv_gen_eq,
apply congr_arg Inf,
ext,
exact ⟨λ h _ _ ⟨r, hr⟩, h r hr.1 _ _ hr.2,
λ h r hS _ _ hr, h _ _ ⟨r, hS, hr⟩⟩
end
/-- The supremum of a set of equivalence relations is the equivalence closure of the
supremum of the set's image under the map to the underlying binary operation. -/
lemma Sup_def {s : set (setoid α)} : Sup s = eqv_gen.setoid (Sup (rel '' s)) :=
begin
rw Sup_eq_eqv_gen,
congr,
ext x y,
erw [Sup_image, supr_apply, supr_apply, supr_Prop_eq],
simp only [Sup_image, supr_Prop_eq, supr_apply, supr_Prop_eq, exists_prop]
end
/-- The equivalence closure of an equivalence relation r is r. -/
@[simp] lemma eqv_gen_of_setoid (r : setoid α) : eqv_gen.setoid r.r = r :=
le_antisymm (by rw eqv_gen_eq; exact Inf_le _ r (λ _ _, id)) eqv_gen.rel
/-- Equivalence closure is idempotent. -/
@[simp] lemma eqv_gen_idem (r : α → α → Prop) :
eqv_gen.setoid (eqv_gen.setoid r).rel = eqv_gen.setoid r :=
eqv_gen_of_setoid _
/-- The equivalence closure of a binary relation r is contained in any equivalence
relation containing r. -/
theorem eqv_gen_le {r : α → α → Prop} {s : setoid α} (h : ∀ x y, r x y → s.rel x y) :
eqv_gen.setoid r ≤ s :=
by rw eqv_gen_eq; exact Inf_le _ _ h
/-- Equivalence closure of binary relations is monotonic. -/
theorem eqv_gen_mono {r s : α → α → Prop} (h : ∀ x y, r x y → s x y) :
eqv_gen.setoid r ≤ eqv_gen.setoid s :=
eqv_gen_le $ λ _ _ hr, eqv_gen.rel _ _ $ h _ _ hr
/-- There is a Galois insertion of equivalence relations on α into binary relations
on α, with equivalence closure the lower adjoint. -/
def gi : @galois_insertion (α → α → Prop) (setoid α) _ _ eqv_gen.setoid rel :=
{ choice := λ r h, eqv_gen.setoid r,
gc := λ r s, ⟨λ H _ _ h, H _ _ $ eqv_gen.rel _ _ h, λ H, eqv_gen_of_setoid s ▸ eqv_gen_mono H⟩,
le_l_u := λ x, (eqv_gen_of_setoid x).symm ▸ le_refl x,
choice_eq := λ _ _, rfl }
open function
/-- A function from α to β is injective iff its kernel is the bottom element of the complete lattice
of equivalence relations on α. -/
theorem injective_iff_ker_bot (f : α → β) :
injective f ↔ ker f = ⊥ :=
⟨λ hf, setoid.ext' $ λ x y, ⟨λ h, hf h, λ h, h ▸ rfl⟩,
λ hk x y h, show rel ⊥ x y, from hk ▸ (show (ker f).rel x y, from h)⟩
/-- The elements related to x ∈ α by the kernel of f are those in the preimage of f(x) under f. -/
lemma ker_apply_eq_preimage (f : α → β) (x) : (ker f).rel x = f ⁻¹' {f x} :=
set.ext $ λ x,
⟨λ h, set.mem_preimage.2 (set.mem_singleton_iff.2 h.symm),
λ h, (set.mem_singleton_iff.1 (set.mem_preimage.1 h)).symm⟩
/-- The uniqueness part of the universal property for quotients of an arbitrary type. -/
theorem lift_unique {r : setoid α} {f : α → β} (H : r ≤ ker f) (g : quotient r → β)
(Hg : f = g ∘ quotient.mk) : quotient.lift f H = g :=
begin
ext,
rcases x,
erw [quotient.lift_beta f H, Hg],
refl
end
/-- Given a map f from α to β, the natural map from the quotient of α by the kernel of f is
injective. -/
lemma injective_ker_lift (f : α → β) : injective (@quotient.lift _ _ (ker f) f (λ _ _ h, h)) :=
λ x y, quotient.induction_on₂' x y $ λ a b h, quotient.sound' h
/-- Given a map f from α to β, the kernel of f is the unique equivalence relation on α whose
induced map from the quotient of α to β is injective. -/
lemma ker_eq_lift_of_injective {r : setoid α} (f : α → β) (H : ∀ x y, r.rel x y → f x = f y)
(h : injective (quotient.lift f H)) : ker f = r :=
le_antisymm
(λ x y hk, quotient.exact $ h $ show quotient.lift f H ⟦x⟧ = quotient.lift f H ⟦y⟧, from hk)
H
variables (r : setoid α) (f : α → β)
/-- The first isomorphism theorem for sets: the quotient of α by the kernel of a function f
bijects with f's image. -/
noncomputable def quotient_ker_equiv_range :
quotient (ker f) ≃ set.range f :=
@equiv.of_bijective _ (set.range f) (@quotient.lift _ (set.range f) (ker f)
(λ x, ⟨f x, set.mem_range_self x⟩) $ λ _ _ h, subtype.eq' h)
⟨λ x y h, injective_ker_lift f $ by rcases x; rcases y; injections,
λ ⟨w, z, hz⟩, ⟨@quotient.mk _ (ker f) z, by rw quotient.lift_beta; exact subtype.ext.2 hz⟩⟩
/-- The quotient of α by the kernel of a surjective function f bijects with f's codomain. -/
noncomputable def quotient_ker_equiv_of_surjective (hf : surjective f) :
quotient (ker f) ≃ β :=
@equiv.of_bijective _ _ (@quotient.lift _ _ (ker f) f (λ _ _, id))
⟨injective_ker_lift f, λ y, exists.elim (hf y) $ λ w hw, ⟨quotient.mk' w, hw⟩⟩
/-- The third isomorphism theorem for sets. -/
noncomputable def quotient_quotient_equiv_quotient (s : setoid α) (h : r ≤ s) :
quotient (ker (quot.map_right h)) ≃ quotient s :=
quotient_ker_equiv_of_surjective _ $ λ x, by rcases x; exact ⟨quotient.mk' x, rfl⟩
variables {r f}
/-- Given a function f whose kernel is contained in an equivalence relation r, the equivalence
closure of the relation on f's image defined by x ≈ y ↔ the elements of f⁻¹(x) are related
to the elements of f⁻¹(y) by r. -/
def map (r) (f : α → β) (h : ker f ≤ r) : setoid β :=
eqv_gen.setoid $ λ x y, ∃ a b, f a = x ∧ f b = y ∧ r.rel a b
/-- Given a surjective function f whose kernel is contained in an equivalence relation r, the
equivalence relation on f's codomain defined by x ≈ y ↔ the elements of f⁻¹(x) are related to
the elements of f⁻¹(y) by r. -/
def map_of_surjective (r) (f : α → β) (h : ker f ≤ r) (hf : surjective f) :
setoid β :=
⟨λ x y, ∃ a b, f a = x ∧ f b = y ∧ r.rel a b,
⟨λ x, let ⟨y, hy⟩ := hf x in ⟨y, y, hy, hy, r.refl' y⟩,
λ _ _ ⟨x, y, hx, hy, h⟩, ⟨y, x, hy, hx, r.symm' h⟩,
λ _ _ _ ⟨x, y, hx, hy, h₁⟩ ⟨y', z, hy', hz, h₂⟩,
⟨x, z, hx, hz, r.trans' h₁ $ r.trans' (h y y' $ by rwa ←hy' at hy) h₂⟩⟩⟩
/-- A special case of the equivalence closure of an equivalence relation r equalling r. -/
lemma map_of_surjective_eq_map (h : ker f ≤ r) (hf : surjective f) :
map r f h = map_of_surjective r f h hf :=
by rw ←eqv_gen_of_setoid (map_of_surjective r f h hf); refl
/-- Given an equivalence relation r on α and a map f to the quotient of α by r, an
equivalence relation s on the quotient induces an equivalence relation on f's domain defined
by x ≈ y ↔ f(x) is related to f(y) by s. -/
def comap (f : β → quotient r) (s : setoid (quotient r)) : setoid β :=
⟨λ x y, s.rel (f x) (f y), ⟨λ _, s.refl' _, λ _ _ h, s.symm' h, λ _ _ _ h1, s.trans' h1⟩⟩
section
open quotient
/-- Given an equivalence relation r on α, the order-preserving bijection between the set of
equivalence relations containing r and the equivalence relations on the quotient of α by r. -/
def correspondence (r : setoid α) : ((≤) : {s // r ≤ s} → {s // r ≤ s} → Prop) ≃o
((≤) : setoid (quotient r) → setoid (quotient r) → Prop) :=
{ to_fun := λ s, map_of_surjective s.1 quotient.mk ((ker_mk_eq r).symm ▸ s.2) exists_rep,
inv_fun := λ s, ⟨comap quotient.mk s, λ x y h, show s.rel ⟦x⟧ ⟦y⟧, by rw eq_rel.2 h⟩,
left_inv := λ s, subtype.ext.2 $ ext' $ λ _ _,
⟨λ h, let ⟨a, b, hx, hy, H⟩ := h in
s.1.trans' (s.1.symm' $ s.2 a _ $ eq_rel.1 hx) $ s.1.trans' H $ s.2 b _ $ eq_rel.1 hy,
λ h, ⟨_, _, rfl, rfl, h⟩⟩,
right_inv := λ s, let Hm : ker quotient.mk ≤ comap quotient.mk s :=
λ x y h, show s.rel ⟦x⟧ ⟦y⟧, by rw (@eq_rel _ r x y).2 ((ker_mk_eq r) ▸ h) in
ext' $ λ x y, ⟨λ h, let ⟨a, b, hx, hy, H⟩ := h in hx ▸ hy ▸ H,
quotient.induction_on₂ x y $ λ w z h, ⟨w, z, rfl, rfl, h⟩⟩,
ord := λ s t, ⟨λ h x y hs, let ⟨a, b, hx, hy, Hs⟩ := hs in ⟨a, b, hx, hy, h _ _ Hs⟩,
λ h x y hs, let ⟨a, b, hx, hy, ht⟩ := h ⟦x⟧ ⟦y⟧ ⟨x, y, rfl, rfl, hs⟩ in
t.1.trans' (t.1.symm' $ t.2 a x $ eq_rel.1 hx) $ t.1.trans' ht $ t.2 b y $ eq_rel.1 hy⟩ }
end
-- Partitions
/-- 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 ∧ ∀ b' ∈ c, a ∈ b' → b = b')
{x b b'} (hc : b ∈ c) (hb : x ∈ b) (hc' : b' ∈ c) (hb' : x ∈ b') :
b = b' :=
let ⟨_, _, _, h⟩ := H x in (h b hc hb).symm.trans $ h b' 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 ∧ ∀ b' ∈ c, a ∈ b' → b = b') :
setoid α :=
⟨λ x y, ∀ b ∈ c, x ∈ b → y ∈ b, ⟨λ _ _ _ hx, hx,
λ x _ h _ hb hy, let ⟨z, hc, hx, hz⟩ := H x in
eq_of_mem_eqv_class H hc (h z hc hx) hb hy ▸ hx,
λ x y z h1 h2 b hc hb, let ⟨v, hvc, hy, hv⟩ := H y in let ⟨w, hwc, hz, hw⟩ := H z in
(eq_of_mem_eqv_class H hwc hz hvc $ h2 v hvc hy).trans
(eq_of_mem_eqv_class H hvc hy hc $ h1 b hc hb) ▸ 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⟩
/-- 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,
⟨λ h1, let ⟨w, hw⟩ := show _ ∈ r₂.classes, by rw ←h; exact r₁.mem_classes a in
r₂.trans' (show a ∈ {x | r₂.rel x w}, from hw ▸ r₁.refl' a) $
r₂.symm' (show b ∈ {x | r₂.rel x w}, by rw ←hw; exact r₁.symm' h1),
λ h1, let ⟨w, hw⟩ := show _ ∈ r₁.classes, by rw h; exact r₂.mem_classes a in
r₁.trans' (show a ∈ {x | r₁.rel x w}, from hw ▸ r₂.refl' a) $
r₁.symm' (show b ∈ {x | r₁.rel x w}, by rw ←hw; exact r₂.symm' h1)⟩⟩
/-- 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 ∧ ∀ b' ∈ r.classes, a ∈ b' → b = b' :=
λ a, ⟨{x | r.rel x a}, r.mem_classes a,
⟨r.refl' a, λ s ⟨y, h⟩ ha, by rw h at *; ext;
exact ⟨λ hx, r.trans' hx ha, λ hx, r.trans' hx $ r.symm' ha⟩⟩⟩
/-- 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 ∧ ∀ b' ∈ c, a ∈ b' → b = 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, let ⟨b', hc', hb', h'⟩ := H x in
(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 ∧ ∀ b' ∈ c, a ∈ b' → b = b') {y} :
{x | (mk_classes c H).rel x y} ∈ c :=
let ⟨b, hc, hy, hb⟩ := H y in 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 ∧ ∀ b' ∈ c, a ∈ b' → b = b') :
set.pairwise_disjoint c :=
λ b₁ h₁ b₂ h₂ h, set.disjoint_left.2 $
λ x hx1 hx2, let ⟨b, hc, hx, hb⟩ := H x in 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 ∧ ∀ b' ∈ c, a ∈ b' → b = b' :=
let ⟨b, hc, ha⟩ := set.mem_sUnion.1 $ show a ∈ _, by rw hu; exact set.mem_univ a in
⟨b, hc, ha, λ b' hc' ha', set.pairwise_disjoint_elim H 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⟩
section partition
def is_partition (c : set (set α)) :=
∅ ∉ c ∧ ∀ a, ∃ b ∈ c, a ∈ b ∧ ∀ b' ∈ c, a ∈ b' → b = b'
/-- A partition of α does not contain the empty set. -/
lemma ne_empty_of_mem_partition {c : set (set α)} (hc : is_partition c) {s} (h : s ∈ c) :
s ≠ ∅ :=
λ hs0, hc.1 $ hs0 ▸ h
/-- 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⟩ := set.exists_mem_of_ne_empty $ ne_empty_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⟩, by rcases hc.2 y with ⟨b, hm, hb, hy⟩;
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⟩)),
λ h, let ⟨y, hy⟩ := set.exists_mem_of_ne_empty $ ne_empty_of_mem_partition hc h in
⟨y, eq_eqv_class_of_mem hc.2 h hy⟩⟩
/-- 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 :
_root_.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
|
b176a9757af09ef2d988038fff84cac0abf01db2 | 618003631150032a5676f229d13a079ac875ff77 | /src/set_theory/ordinal.lean | f01b8bd1387fa1ce015a37c1843b5b07d40856f6 | [
"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 | 138,183 | lean | /-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Author: Mario Carneiro
-/
import set_theory.cardinal
/-!
# Ordinal arithmetic
Ordinals are defined as equivalences of well-ordered sets by order isomorphism.
-/
noncomputable theory
open function cardinal set equiv
open_locale classical cardinal
universes u v w
variables {α : Type*} {β : Type*} {γ : Type*}
{r : α → α → Prop} {s : β → β → Prop} {t : γ → γ → Prop}
/-- 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 ≼o s :=
(init : ∀ a b, s b (to_order_embedding a) → ∃ a', to_order_embedding a' = b)
local infix ` ≼i `:25 := initial_seg
namespace initial_seg
instance : has_coe (r ≼i s) (r ≼o s) := ⟨initial_seg.to_order_embedding⟩
instance : has_coe_to_fun (r ≼i s) := ⟨λ _, α → β, λ f x, (f : r ≼o s) x⟩
@[simp] theorem coe_fn_mk (f : r ≼o s) (o) :
(@initial_seg.mk _ _ r s f o : α → β) = f := rfl
@[simp] theorem coe_fn_to_order_embedding (f : r ≼i s) : (f.to_order_embedding : α → β) = f := rfl
@[simp] theorem coe_coe_fn (f : r ≼i s) : ((f : r ≼o 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 ≼o s).ord.2 (e.symm ▸ h)⟩,
λ ⟨a', e, h⟩, e ▸ (f : r ≼o s).ord.1 h⟩
/-- An order isomorphism is an initial segment -/
def of_iso (f : r ≃o s) : r ≼i s :=
⟨f, λ a b h, ⟨f.symm b, order_iso.apply_symm_apply f _⟩⟩
/-- The identity function shows that `≼i` is reflexive -/
@[refl] protected def refl (r : α → α → Prop) : r ≼i r :=
⟨order_embedding.refl _, λ a b h, ⟨_, rfl⟩⟩
/-- 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.ord.2 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_extensional [is_extensional 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 order_embedding.coe_fn_injective this },
funext a, have := h a, induction this with a H IH,
refine @is_extensional.ext _ s _ _ _ (λ x, ⟨λ h, _, λ h, _⟩),
{ rcases f.init_iff.1 h with ⟨y, rfl, h'⟩,
rw IH _ h', exact (g : r ≼o s).ord.1 h' },
{ rcases g.init_iff.1 h with ⟨y, rfl, h'⟩,
rw ← IH _ h', exact (f : r ≼o s).ord.1 h' }
end⟩
instance [is_well_order β s] : subsingleton (r ≼i s) :=
⟨λ a, @subsingleton.elim _ (unique_of_extensional
(@order_embedding.well_founded _ _ r s a is_well_order.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 ≃o s :=
by haveI := f.to_order_embedding.is_well_order; exact
⟨⟨f, g, antisymm.aux f g, antisymm.aux g f⟩, f.ord'⟩
@[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 :=
order_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_order.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 :=
⟨order_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
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.symm⟩,
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
structure principal_seg {α β : Type*} (r : α → α → Prop) (s : β → β → Prop) extends r ≼o s :=
(top : β)
(down : ∀ b, s b top ↔ ∃ a, to_order_embedding a = b)
local infix ` ≺i `:25 := principal_seg
namespace principal_seg
instance : has_coe (r ≺i s) (r ≼o s) := ⟨principal_seg.to_order_embedding⟩
instance : has_coe_to_fun (r ≺i s) := ⟨λ _, α → β, λ f, f⟩
@[simp] theorem coe_fn_mk (f : r ≼o s) (t o) :
(@principal_seg.mk _ _ r s f t o : α → β) = f := rfl
@[simp] theorem coe_fn_to_order_embedding (f : r ≺i s) : (f.to_order_embedding : α → β) = f := rfl
@[simp] theorem coe_coe_fn (f : r ≺i s) : ((f : r ≼o 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 _
instance has_coe_initial_seg [is_trans β s] : has_coe (r ≺i s) (r ≼i s) :=
⟨λ f, ⟨f.to_order_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
def lt_le (f : r ≺i s) (g : s ≼i t) : r ≺i t :=
⟨@order_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, order_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) :=
order_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
@[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
def equiv_lt (f : r ≃o s) (g : s ≺i t) : r ≺i t :=
⟨@order_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, order_iso.apply_symm_apply, order_iso.coe_coe_fn]⟩,
λ ⟨a, h⟩, ⟨f a, h⟩⟩⟩
def lt_equiv {r : α → α → Prop} {s : β → β → Prop} {t : γ → γ → Prop}
(f : principal_seg r s) (g : s ≃o t) : principal_seg r t :=
⟨@order_embedding.trans _ _ _ r s t f g, g f.top,
begin
intro x,
rw [← g.apply_symm_apply x, ← g.ord, 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 ≃o s) (g : s ≺i t) (a : α) : (equiv_lt f g) a = g (f a) :=
order_embedding.trans_apply _ _ _
@[simp] theorem equiv_lt_top (f : r ≃o s) (g : s ≺i t) : (equiv_lt f g).top = g.top := rfl
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 @is_extensional.ext _ s _ _ _ (λ x, _),
simp only [f.down, g.down, ef, coe_fn_to_order_embedding] },
cases f, cases g,
have := order_embedding.coe_fn_injective ef; congr'
end⟩
theorem top_eq [is_well_order γ t]
(e : r ≃o 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.order_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 :=
⟨order_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
end principal_seg
def initial_seg.lt_or_eq [is_well_order β s] (f : r ≼i s) :
(r ≺i s) ⊕ (r ≃o s) :=
if h : surjective f then sum.inr (order_iso.of_surjective f h) else
have h' : _, from (initial_seg.eq_or_principal f).resolve_left h,
sum.inl ⟨f, classical.some h', classical.some_spec h'⟩
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 ≃o s) (a : α) : g a = f a :=
initial_seg.eq (initial_seg.of_iso g) f a
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 order_embedding
def collapse_F [is_well_order β s] (f : r ≼o s) : Π a, {b // ¬ s (f a) b} :=
(order_embedding.well_founded f $ is_well_order.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.ord.1 h) h')
.resolve_left $ λ h', (IH a' h).2 $ h' ▸ f.ord.1 h,
exact ⟨is_well_order.wf.min S ⟨_, this⟩,
is_well_order.wf.not_lt_min _ _ this⟩
end
theorem collapse_F.lt [is_well_order β s] (f : r ≼o 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 ≼o 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. -/
def collapse [is_well_order β s] (f : r ≼o s) : r ≼i s :=
by haveI := order_embedding.is_well_order f; exact
⟨order_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_order.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_order.wf : well_founded r).min S this,
refine ((@trichotomous _ s _ _ _).resolve_left _).resolve_right _,
{ exact (is_well_order.wf : well_founded r).min_mem S this },
{ refine collapse_F.not_lt f _ (λ a' h', _),
by_contradiction hn,
exact is_well_order.wf.not_lt_min S this hn h' }
end) a⟩
theorem collapse_apply [is_well_order β s] (f : r ≼o s)
(a) : collapse f a = (collapse_F f a).1 := rfl
end order_embedding
section well_ordering_thm
parameter {σ : Type u}
open function
theorem nonempty_embedding_to_cardinal : nonempty (σ ↪ cardinal.{u}) :=
embedding.total.resolve_left $ λ ⟨⟨f, hf⟩⟩,
let g : σ → cardinal.{u} := inv_fun f in
let ⟨x, (hx : g x = 2 ^ sum g)⟩ := inv_fun_surjective hf (2 ^ sum g) in
have g x ≤ sum g, from le_sum.{u u} g x,
not_le_of_gt (by rw hx; exact cantor _) this
/-- An embedding of any type to the set of cardinals. -/
def embedding_to_cardinal : σ ↪ cardinal.{u} := classical.choice nonempty_embedding_to_cardinal
/-- The relation whose existence is given by the well-ordering theorem -/
def well_ordering_rel : σ → σ → Prop := embedding_to_cardinal ⁻¹'o (<)
instance well_ordering_rel.is_well_order : is_well_order σ well_ordering_rel :=
(order_embedding.preimage _ _).is_well_order
end well_ordering_thm
structure Well_order : Type (u+1) :=
(α : Type u)
(r : α → α → Prop)
(wo : is_well_order α r)
attribute [instance] Well_order.wo
namespace Well_order
instance : inhabited Well_order := ⟨⟨pempty, _, empty_relation.is_well_order⟩⟩
end Well_order
instance ordinal.is_equivalent : setoid Well_order :=
{ r := λ ⟨α, r, wo⟩ ⟨β, s, wo'⟩, nonempty (r ≃o s),
iseqv := ⟨λ⟨α, r, _⟩, ⟨order_iso.refl _⟩,
λ⟨α, r, _⟩ ⟨β, s, _⟩ ⟨e⟩, ⟨e.symm⟩,
λ⟨α, r, _⟩ ⟨β, s, _⟩ ⟨γ, t, _⟩ ⟨e₁⟩ ⟨e₂⟩, ⟨e₁.trans e₂⟩⟩ }
/-- `ordinal.{u}` is the type of well orders in `Type u`,
quotient by order isomorphism. -/
def ordinal : Type (u + 1) := quotient ordinal.is_equivalent
namespace ordinal
/-- The order type of a well order is an ordinal. -/
def type (r : α → α → Prop) [wo : is_well_order α r] : ordinal :=
⟦⟨α, r, wo⟩⟧
/-- The order type of an element inside a well order. -/
def typein (r : α → α → Prop) [is_well_order α r] (a : α) : ordinal :=
type (subrel r {b | r b a})
theorem type_def (r : α → α → Prop) [wo : is_well_order α r] :
@eq ordinal ⟦⟨α, r, wo⟩⟧ (type r) := rfl
@[simp] theorem type_def' (r : α → α → Prop) [is_well_order α r] {wo} :
@eq ordinal ⟦⟨α, r, wo⟩⟧ (type r) := rfl
theorem type_eq {α β} {r : α → α → Prop} {s : β → β → Prop}
[is_well_order α r] [is_well_order β s] :
type r = type s ↔ nonempty (r ≃o s) := quotient.eq
@[simp] lemma type_out (o : ordinal) : type o.out.r = o :=
by { refine eq.trans _ (by rw [←quotient.out_eq o]), cases quotient.out o, refl }
@[elab_as_eliminator] theorem induction_on {C : ordinal → Prop}
(o : ordinal) (H : ∀ α r [is_well_order α r], C (type r)) : C o :=
quot.induction_on o $ λ ⟨α, r, wo⟩, @H α r wo
/-- Ordinal less-equal is defined such that
well orders `r` and `s` satisfy `type r ≤ type s` if there exists
a function embedding `r` as an initial segment of `s`. -/
protected def le (a b : ordinal) : Prop :=
quotient.lift_on₂ a b (λ ⟨α, r, wo⟩ ⟨β, s, wo'⟩, nonempty (r ≼i s)) $
λ ⟨α₁, r₁, o₁⟩ ⟨α₂, r₂, o₂⟩ ⟨β₁, s₁, p₁⟩ ⟨β₂, s₂, p₂⟩ ⟨f⟩ ⟨g⟩,
propext ⟨
λ ⟨h⟩, ⟨(initial_seg.of_iso f.symm).trans $
h.trans (initial_seg.of_iso g)⟩,
λ ⟨h⟩, ⟨(initial_seg.of_iso f).trans $
h.trans (initial_seg.of_iso g.symm)⟩⟩
instance : has_le ordinal := ⟨ordinal.le⟩
theorem type_le {α β} {r : α → α → Prop} {s : β → β → Prop}
[is_well_order α r] [is_well_order β s] :
type r ≤ type s ↔ nonempty (r ≼i s) := iff.rfl
theorem type_le' {α β} {r : α → α → Prop} {s : β → β → Prop}
[is_well_order α r] [is_well_order β s] : type r ≤ type s ↔ nonempty (r ≼o s) :=
⟨λ ⟨f⟩, ⟨f⟩, λ ⟨f⟩, ⟨f.collapse⟩⟩
/-- Ordinal less-than is defined such that
well orders `r` and `s` satisfy `type r < type s` if there exists
a function embedding `r` as a principal segment of `s`. -/
def lt (a b : ordinal) : Prop :=
quotient.lift_on₂ a b (λ ⟨α, r, wo⟩ ⟨β, s, wo'⟩, nonempty (r ≺i s)) $
λ ⟨α₁, r₁, o₁⟩ ⟨α₂, r₂, o₂⟩ ⟨β₁, s₁, p₁⟩ ⟨β₂, s₂, p₂⟩ ⟨f⟩ ⟨g⟩,
by exactI propext ⟨
λ ⟨h⟩, ⟨principal_seg.equiv_lt f.symm $
h.lt_le (initial_seg.of_iso g)⟩,
λ ⟨h⟩, ⟨principal_seg.equiv_lt f $
h.lt_le (initial_seg.of_iso g.symm)⟩⟩
instance : has_lt ordinal := ⟨ordinal.lt⟩
@[simp] theorem type_lt {α β} {r : α → α → Prop} {s : β → β → Prop}
[is_well_order α r] [is_well_order β s] :
type r < type s ↔ nonempty (r ≺i s) := iff.rfl
instance : partial_order ordinal :=
{ le := (≤),
lt := (<),
le_refl := quot.ind $ by exact λ ⟨α, r, wo⟩, ⟨initial_seg.refl _⟩,
le_trans := λ a b c, quotient.induction_on₃ a b c $
λ ⟨α, r, _⟩ ⟨β, s, _⟩ ⟨γ, t, _⟩ ⟨f⟩ ⟨g⟩, ⟨f.trans g⟩,
lt_iff_le_not_le := λ a b, quotient.induction_on₂ a b $
λ ⟨α, r, _⟩ ⟨β, s, _⟩, by exactI
⟨λ ⟨f⟩, ⟨⟨f⟩, λ ⟨g⟩, (f.lt_le g).irrefl _⟩,
λ ⟨⟨f⟩, h⟩, sum.rec_on f.lt_or_eq (λ g, ⟨g⟩)
(λ g, (h ⟨initial_seg.of_iso g.symm⟩).elim)⟩,
le_antisymm := λ x b, show x ≤ b → b ≤ x → x = b, from
quotient.induction_on₂ x b $ λ ⟨α, r, _⟩ ⟨β, s, _⟩ ⟨h₁⟩ ⟨h₂⟩,
by exactI quot.sound ⟨initial_seg.antisymm h₁ h₂⟩ }
def initial_seg_out {α β : ordinal} (h : α ≤ β) : initial_seg α.out.r β.out.r :=
begin
rw [←quotient.out_eq α, ←quotient.out_eq β] at h, revert h,
cases quotient.out α, cases quotient.out β, exact classical.choice
end
def principal_seg_out {α β : ordinal} (h : α < β) : principal_seg α.out.r β.out.r :=
begin
rw [←quotient.out_eq α, ←quotient.out_eq β] at h, revert h,
cases quotient.out α, cases quotient.out β, exact classical.choice
end
def order_iso_out {α β : ordinal} (h : α = β) : order_iso α.out.r β.out.r :=
begin
rw [←quotient.out_eq α, ←quotient.out_eq β] at h, revert h,
cases quotient.out α, cases quotient.out β, exact classical.choice ∘ quotient.exact
end
theorem typein_lt_type (r : α → α → Prop) [is_well_order α r]
(a : α) : typein r a < type r :=
⟨principal_seg.of_element _ _⟩
@[simp] theorem typein_top {α β} {r : α → α → Prop} {s : β → β → Prop}
[is_well_order α r] [is_well_order β s] (f : r ≺i s) :
typein s f.top = type r :=
eq.symm $ quot.sound ⟨order_iso.of_surjective
(order_embedding.cod_restrict _ f f.lt_top)
(λ ⟨a, h⟩, by rcases f.down'.1 h with ⟨b, rfl⟩; exact ⟨b, rfl⟩)⟩
@[simp] theorem typein_apply {α β} {r : α → α → Prop} {s : β → β → Prop}
[is_well_order α r] [is_well_order β s] (f : r ≼i s) (a : α) :
ordinal.typein s (f a) = ordinal.typein r a :=
eq.symm $ quotient.sound ⟨order_iso.of_surjective
(order_embedding.cod_restrict _
((subrel.order_embedding _ _).trans f)
(λ ⟨x, h⟩, by rw [order_embedding.trans_apply]; exact f.to_order_embedding.ord.1 h))
(λ ⟨y, h⟩, by rcases f.init' h with ⟨a, rfl⟩;
exact ⟨⟨a, f.to_order_embedding.ord.2 h⟩, subtype.eq $ order_embedding.trans_apply _ _ _⟩)⟩
@[simp] theorem typein_lt_typein (r : α → α → Prop) [is_well_order α r]
{a b : α} : typein r a < typein r b ↔ r a b :=
⟨λ ⟨f⟩, begin
have : f.top.1 = a,
{ let f' := principal_seg.of_element r a,
let g' := f.trans (principal_seg.of_element r b),
have : g'.top = f'.top, {rw subsingleton.elim f' g'},
exact this },
rw ← this, exact f.top.2
end, λ h, ⟨principal_seg.cod_restrict _
(principal_seg.of_element r a)
(λ x, @trans _ r _ _ _ _ x.2 h) h⟩⟩
theorem typein_surj (r : α → α → Prop) [is_well_order α r]
{o} (h : o < type r) : ∃ a, typein r a = o :=
induction_on o (λ β s _ ⟨f⟩, by exactI ⟨f.top, typein_top _⟩) h
lemma injective_typein (r : α → α → Prop) [is_well_order α r] : injective (typein r) :=
injective_of_increasing r (<) (typein r) (λ x y, (typein_lt_typein r).2)
theorem typein_inj (r : α → α → Prop) [is_well_order α r]
{a b} : typein r a = typein r b ↔ a = b :=
injective.eq_iff (injective_typein r)
/-- `enum r o h` is the `o`-th element of `α` ordered by `r`.
That is, `enum` maps an initial segment of the ordinals, those
less than the order type of `r`, to the elements of `α`. -/
def enum (r : α → α → Prop) [is_well_order α r] (o) : o < type r → α :=
quot.rec_on o (λ ⟨β, s, _⟩ h, (classical.choice h).top) $
λ ⟨β, s, _⟩ ⟨γ, t, _⟩ ⟨h⟩, begin
resetI, refine funext (λ (H₂ : type t < type r), _),
have H₁ : type s < type r, {rwa type_eq.2 ⟨h⟩},
have : ∀ {o e} (H : o < type r), @@eq.rec
(λ (o : ordinal), o < type r → α)
(λ (h : type s < type r), (classical.choice h).top)
e H = (classical.choice H₁).top, {intros, subst e},
exact (this H₂).trans (principal_seg.top_eq h
(classical.choice H₁) (classical.choice H₂))
end
theorem enum_type {α β} {r : α → α → Prop} {s : β → β → Prop}
[is_well_order α r] [is_well_order β s] (f : s ≺i r)
{h : type s < type r} : enum r (type s) h = f.top :=
principal_seg.top_eq (order_iso.refl _) _ _
@[simp] theorem enum_typein (r : α → α → Prop) [is_well_order α r] (a : α)
{h : typein r a < type r} : enum r (typein r a) h = a :=
enum_type (principal_seg.of_element r a)
@[simp] theorem typein_enum (r : α → α → Prop) [is_well_order α r]
{o} (h : o < type r) : typein r (enum r o h) = o :=
let ⟨a, e⟩ := typein_surj r h in
by clear _let_match; subst e; rw enum_typein
def typein_iso (r : α → α → Prop) [is_well_order α r] : r ≃o subrel (<) (< type r) :=
⟨⟨λ x, ⟨typein r x, typein_lt_type r x⟩, λ x, enum r x.1 x.2, λ y, enum_typein r y,
λ ⟨y, hy⟩, subtype.eq (typein_enum r hy)⟩,
λ a b, (typein_lt_typein r).symm⟩
theorem enum_lt {r : α → α → Prop} [is_well_order α r]
{o₁ o₂ : ordinal} (h₁ : o₁ < type r) (h₂ : o₂ < type r) :
r (enum r o₁ h₁) (enum r o₂ h₂) ↔ o₁ < o₂ :=
by rw [← typein_lt_typein r, typein_enum, typein_enum]
lemma order_iso_enum' {α β : Type u} {r : α → α → Prop} {s : β → β → Prop}
[is_well_order α r] [is_well_order β s]
(f : order_iso r s) (o : ordinal) : ∀(hr : o < type r) (hs : o < type s),
f (enum r o hr) = enum s o hs :=
begin
refine induction_on o _, rintros γ t wo ⟨g⟩ ⟨h⟩,
resetI, rw [enum_type g, enum_type (principal_seg.lt_equiv g f)], refl
end
lemma order_iso_enum {α β : Type u} {r : α → α → Prop} {s : β → β → Prop}
[is_well_order α r] [is_well_order β s]
(f : order_iso r s) (o : ordinal) (hr : o < type r) :
f (enum r o hr) =
enum s o (by {convert hr using 1, apply quotient.sound, exact ⟨f.symm⟩ }) :=
order_iso_enum' _ _ _ _
theorem wf : @well_founded ordinal (<) :=
⟨λ a, induction_on a $ λ α r wo, by exactI
suffices ∀ a, acc (<) (typein r a), from
⟨_, λ o h, let ⟨a, e⟩ := typein_surj r h in e ▸ this a⟩,
λ a, acc.rec_on (wo.wf.apply a) $ λ x H IH, ⟨_, λ o h, begin
rcases typein_surj r (lt_trans h (typein_lt_type r _)) with ⟨b, rfl⟩,
exact IH _ ((typein_lt_typein r).1 h)
end⟩⟩
instance : has_well_founded ordinal := ⟨(<), wf⟩
/-- The cardinal of an ordinal is the cardinal of any
set with that order type. -/
def card (o : ordinal) : cardinal :=
quot.lift_on o (λ ⟨α, r, _⟩, mk α) $
λ ⟨α, r, _⟩ ⟨β, s, _⟩ ⟨e⟩, quotient.sound ⟨e.to_equiv⟩
@[simp] theorem card_type (r : α → α → Prop) [is_well_order α r] :
card (type r) = mk α := rfl
lemma card_typein {r : α → α → Prop} [wo : is_well_order α r] (x : α) :
mk {y // r y x} = (typein r x).card := rfl
theorem card_le_card {o₁ o₂ : ordinal} : o₁ ≤ o₂ → card o₁ ≤ card o₂ :=
induction_on o₁ $ λ α r _, induction_on o₂ $ λ β s _ ⟨⟨⟨f, _⟩, _⟩⟩, ⟨f⟩
instance : has_zero ordinal :=
⟨⟦⟨pempty, empty_relation, by apply_instance⟩⟧⟩
instance : inhabited ordinal := ⟨0⟩
theorem zero_eq_type_empty : 0 = @type empty empty_relation _ :=
quotient.sound ⟨⟨empty_equiv_pempty.symm, λ _ _, iff.rfl⟩⟩
@[simp] theorem card_zero : card 0 = 0 := rfl
theorem zero_le (o : ordinal) : 0 ≤ o :=
induction_on o $ λ α r _,
⟨⟨⟨embedding.of_not_nonempty $ λ ⟨a⟩, a.elim,
λ a, a.elim⟩, λ a, a.elim⟩⟩
@[simp] theorem le_zero {o : ordinal} : o ≤ 0 ↔ o = 0 :=
by simp only [le_antisymm_iff, zero_le, and_true]
theorem pos_iff_ne_zero {o : ordinal} : 0 < o ↔ o ≠ 0 :=
by simp only [lt_iff_le_and_ne, zero_le, true_and, ne.def, eq_comm]
instance : has_one ordinal :=
⟨⟦⟨punit, empty_relation, by apply_instance⟩⟧⟩
theorem one_eq_type_unit : 1 = @type unit empty_relation _ :=
quotient.sound ⟨⟨punit_equiv_punit, λ _ _, iff.rfl⟩⟩
@[simp] theorem card_one : card 1 = 1 := rfl
instance : has_add ordinal.{u} :=
⟨λo₁ o₂, quotient.lift_on₂ o₁ o₂
(λ ⟨α, r, wo⟩ ⟨β, s, wo'⟩, ⟦⟨α ⊕ β, sum.lex r s, by exactI sum.lex.is_well_order⟩⟧
: Well_order → Well_order → ordinal) $
λ ⟨α₁, r₁, o₁⟩ ⟨α₂, r₂, o₂⟩ ⟨β₁, s₁, p₁⟩ ⟨β₂, s₂, p₂⟩ ⟨f⟩ ⟨g⟩,
quot.sound ⟨order_iso.sum_lex_congr f g⟩⟩
@[simp] theorem type_add {α β : Type u} (r : α → α → Prop) (s : β → β → Prop)
[is_well_order α r] [is_well_order β s] : type r + type s = type (sum.lex r s) := rfl
/-- The ordinal successor is the smallest ordinal larger than `o`.
It is defined as `o + 1`. -/
def succ (o : ordinal) : ordinal := o + 1
theorem succ_eq_add_one (o) : succ o = o + 1 := rfl
theorem lt_succ_self (o : ordinal.{u}) : o < succ o :=
induction_on o $ λ α r _, ⟨⟨⟨⟨λ x, sum.inl x, λ _ _, sum.inl.inj⟩,
λ _ _, sum.lex_inl_inl.symm⟩,
sum.inr punit.star, λ b, sum.rec_on b
(λ x, ⟨λ _, ⟨x, rfl⟩, λ _, sum.lex.sep _ _⟩)
(λ x, sum.lex_inr_inr.trans ⟨false.elim, λ ⟨x, H⟩, sum.inl_ne_inr H⟩)⟩⟩
theorem succ_pos (o : ordinal) : 0 < succ o :=
lt_of_le_of_lt (zero_le _) (lt_succ_self _)
theorem succ_ne_zero (o : ordinal) : succ o ≠ 0 :=
ne_of_gt $ succ_pos o
theorem succ_le {a b : ordinal} : succ a ≤ b ↔ a < b :=
⟨lt_of_lt_of_le (lt_succ_self _),
induction_on a $ λ α r hr, induction_on b $ λ β s hs ⟨⟨f, t, hf⟩⟩, begin
refine ⟨⟨@order_embedding.of_monotone (α ⊕ punit) β _ _
(@sum.lex.is_well_order _ _ _ _ hr _).1.1
(@is_asymm_of_is_trans_of_is_irrefl _ _ hs.1.2.2 hs.1.2.1)
(sum.rec _ _) (λ a b, _), λ a b, _⟩⟩,
{ exact f }, { exact λ _, t },
{ rcases a with a|_; rcases b with b|_,
{ simpa only [sum.lex_inl_inl] using f.ord.1 },
{ intro _, rw hf, exact ⟨_, rfl⟩ },
{ exact false.elim ∘ sum.lex_inr_inl },
{ exact false.elim ∘ sum.lex_inr_inr.1 } },
{ rcases a with a|_,
{ intro h, have := @principal_seg.init _ _ _ _ hs.1.2.2 ⟨f, t, hf⟩ _ _ h,
cases this with w h, exact ⟨sum.inl w, h⟩ },
{ intro h, cases (hf b).1 h with w h, exact ⟨sum.inl w, h⟩ } }
end⟩
@[simp] theorem card_add (o₁ o₂ : ordinal) : card (o₁ + o₂) = card o₁ + card o₂ :=
induction_on o₁ $ λ α r _, induction_on o₂ $ λ β s _, rfl
@[simp] theorem card_succ (o : ordinal) : card (succ o) = card o + 1 :=
by simp only [succ, card_add, card_one]
@[simp] theorem card_nat (n : ℕ) : card.{u} n = n :=
by induction n; [refl, simp only [card_add, card_one, nat.cast_succ, *]]
theorem nat_cast_succ (n : ℕ) : (succ n : ordinal) = n.succ := rfl
instance : add_monoid ordinal.{u} :=
{ add := (+),
zero := 0,
zero_add := λ o, induction_on o $ λ α r _, eq.symm $ quotient.sound
⟨⟨(pempty_sum α).symm, λ a b, sum.lex_inr_inr.symm⟩⟩,
add_zero := λ o, induction_on o $ λ α r _, eq.symm $ quotient.sound
⟨⟨(sum_pempty α).symm, λ a b, sum.lex_inl_inl.symm⟩⟩,
add_assoc := λ o₁ o₂ o₃, quotient.induction_on₃ o₁ o₂ o₃ $
λ ⟨α, r, _⟩ ⟨β, s, _⟩ ⟨γ, t, _⟩, quot.sound
⟨⟨sum_assoc _ _ _, λ a b,
begin rcases a with ⟨a|a⟩|a; rcases b with ⟨b|b⟩|b;
simp only [sum_assoc_apply_in1, sum_assoc_apply_in2, sum_assoc_apply_in3,
sum.lex_inl_inl, sum.lex_inr_inr, sum.lex.sep, sum.lex_inr_inl] end⟩⟩ }
theorem add_succ (o₁ o₂ : ordinal) : o₁ + succ o₂ = succ (o₁ + o₂) :=
(add_assoc _ _ _).symm
@[simp] theorem succ_zero : succ 0 = 1 := zero_add _
theorem one_le_iff_pos {o : ordinal} : 1 ≤ o ↔ 0 < o :=
by rw [← succ_zero, succ_le]
theorem one_le_iff_ne_zero {o : ordinal} : 1 ≤ o ↔ o ≠ 0 :=
by rw [one_le_iff_pos, pos_iff_ne_zero]
theorem add_le_add_left {a b : ordinal} : a ≤ b → ∀ c, c + a ≤ c + b :=
induction_on a $ λ α₁ r₁ _, induction_on b $ λ α₂ r₂ _ ⟨⟨⟨f, fo⟩, fi⟩⟩ c,
induction_on c $ λ β s _,
⟨⟨⟨(embedding.refl _).sum_congr f,
λ a b, match a, b with
| sum.inl a, sum.inl b := sum.lex_inl_inl.trans sum.lex_inl_inl.symm
| sum.inl a, sum.inr b := by apply iff_of_true; apply sum.lex.sep
| sum.inr a, sum.inl b := by apply iff_of_false; exact sum.lex_inr_inl
| sum.inr a, sum.inr b := sum.lex_inr_inr.trans $ fo.trans sum.lex_inr_inr.symm
end⟩,
λ a b H, match a, b, H with
| _, sum.inl b, _ := ⟨sum.inl b, rfl⟩
| sum.inl a, sum.inr b, H := (sum.lex_inr_inl H).elim
| sum.inr a, sum.inr b, H := let ⟨w, h⟩ := fi _ _ (sum.lex_inr_inr.1 H) in
⟨sum.inr w, congr_arg sum.inr h⟩
end⟩⟩
theorem le_add_right (a b : ordinal) : a ≤ a + b :=
by simpa only [add_zero] using add_le_add_left (zero_le b) a
theorem add_le_add_iff_left (a) {b c : ordinal} : a + b ≤ a + c ↔ b ≤ c :=
⟨induction_on a $ λ α r hr, induction_on b $ λ β₁ s₁ hs₁, induction_on c $ λ β₂ s₂ hs₂ ⟨f⟩, ⟨
have fl : ∀ a, f (sum.inl a) = sum.inl a := λ a,
by simpa only [initial_seg.trans_apply, initial_seg.le_add_apply]
using @initial_seg.eq _ _ _ _ (@sum.lex.is_well_order _ _ _ _ hr hs₂)
((initial_seg.le_add r s₁).trans f) (initial_seg.le_add r s₂) a,
have ∀ b, {b' // f (sum.inr b) = sum.inr b'}, begin
intro b, cases e : f (sum.inr b),
{ rw ← fl at e, have := f.inj' e, contradiction },
{ exact ⟨_, rfl⟩ }
end,
let g (b) := (this b).1 in
have fr : ∀ b, f (sum.inr b) = sum.inr (g b), from λ b, (this b).2,
⟨⟨⟨g, λ x y h, by injection f.inj'
(by rw [fr, fr, h] : f (sum.inr x) = f (sum.inr y))⟩,
λ a b, by simpa only [sum.lex_inr_inr, fr, order_embedding.coe_fn_to_embedding,
initial_seg.coe_fn_to_order_embedding, function.embedding.coe_fn_mk]
using @order_embedding.ord _ _ _ _ f.to_order_embedding (sum.inr a) (sum.inr b)⟩,
λ a b H, begin
rcases f.init' (by rw fr; exact sum.lex_inr_inr.2 H) with ⟨a'|a', h⟩,
{ rw fl at h, cases h },
{ rw fr at h, exact ⟨a', sum.inr.inj h⟩ }
end⟩⟩,
λ h, add_le_add_left h _⟩
theorem add_left_cancel (a) {b c : ordinal} : a + b = a + c ↔ b = c :=
by simp only [le_antisymm_iff, add_le_add_iff_left]
/-- The universe lift operation for ordinals, which embeds `ordinal.{u}` as
a proper initial segment of `ordinal.{v}` for `v > u`. -/
def lift (o : ordinal.{u}) : ordinal.{max u v} :=
quotient.lift_on o (λ ⟨α, r, wo⟩,
@type _ _ (@order_embedding.is_well_order _ _ (@equiv.ulift.{u v} α ⁻¹'o r) r
(order_iso.preimage equiv.ulift.{u v} r) wo)) $
λ ⟨α, r, _⟩ ⟨β, s, _⟩ ⟨f⟩,
quot.sound ⟨(order_iso.preimage equiv.ulift r).trans $
f.trans (order_iso.preimage equiv.ulift s).symm⟩
theorem lift_type {α} (r : α → α → Prop) [is_well_order α r] :
∃ wo', lift (type r) = @type _ (@equiv.ulift.{u v} α ⁻¹'o r) wo' :=
⟨_, rfl⟩
theorem lift_umax : lift.{u (max u v)} = lift.{u v} :=
funext $ λ a, induction_on a $ λ α r _,
quotient.sound ⟨(order_iso.preimage equiv.ulift r).trans (order_iso.preimage equiv.ulift r).symm⟩
theorem lift_id' (a : ordinal) : lift a = a :=
induction_on a $ λ α r _,
quotient.sound ⟨order_iso.preimage equiv.ulift r⟩
@[simp] theorem lift_id : ∀ a, lift.{u u} a = a := lift_id'.{u u}
@[simp]
theorem lift_lift (a : ordinal) : lift.{(max u v) w} (lift.{u v} a) = lift.{u (max v w)} a :=
induction_on a $ λ α r _,
quotient.sound ⟨(order_iso.preimage equiv.ulift _).trans $
(order_iso.preimage equiv.ulift _).trans (order_iso.preimage equiv.ulift _).symm⟩
theorem lift_type_le {α : Type u} {β : Type v} {r s} [is_well_order α r] [is_well_order β s] :
lift.{u (max v w)} (type r) ≤ lift.{v (max u w)} (type s) ↔ nonempty (r ≼i s) :=
⟨λ ⟨f⟩, ⟨(initial_seg.of_iso (order_iso.preimage equiv.ulift r).symm).trans $
f.trans (initial_seg.of_iso (order_iso.preimage equiv.ulift s))⟩,
λ ⟨f⟩, ⟨(initial_seg.of_iso (order_iso.preimage equiv.ulift r)).trans $
f.trans (initial_seg.of_iso (order_iso.preimage equiv.ulift s).symm)⟩⟩
theorem lift_type_eq {α : Type u} {β : Type v} {r s} [is_well_order α r] [is_well_order β s] :
lift.{u (max v w)} (type r) = lift.{v (max u w)} (type s) ↔ nonempty (r ≃o s) :=
quotient.eq.trans
⟨λ ⟨f⟩, ⟨(order_iso.preimage equiv.ulift r).symm.trans $
f.trans (order_iso.preimage equiv.ulift s)⟩,
λ ⟨f⟩, ⟨(order_iso.preimage equiv.ulift r).trans $
f.trans (order_iso.preimage equiv.ulift s).symm⟩⟩
theorem lift_type_lt {α : Type u} {β : Type v} {r s} [is_well_order α r] [is_well_order β s] :
lift.{u (max v w)} (type r) < lift.{v (max u w)} (type s) ↔ nonempty (r ≺i s) :=
by haveI := @order_embedding.is_well_order _ _ (@equiv.ulift.{u (max v w)} α ⁻¹'o r)
r (order_iso.preimage equiv.ulift.{u (max v w)} r) _;
haveI := @order_embedding.is_well_order _ _ (@equiv.ulift.{v (max u w)} β ⁻¹'o s)
s (order_iso.preimage equiv.ulift.{v (max u w)} s) _; exact
⟨λ ⟨f⟩, ⟨(f.equiv_lt (order_iso.preimage equiv.ulift r).symm).lt_le
(initial_seg.of_iso (order_iso.preimage equiv.ulift s))⟩,
λ ⟨f⟩, ⟨(f.equiv_lt (order_iso.preimage equiv.ulift r)).lt_le
(initial_seg.of_iso (order_iso.preimage equiv.ulift s).symm)⟩⟩
@[simp] theorem lift_le {a b : ordinal} : lift.{u v} a ≤ lift b ↔ a ≤ b :=
induction_on a $ λ α r _, induction_on b $ λ β s _,
by rw ← lift_umax; exactI lift_type_le
@[simp] theorem lift_inj {a b : ordinal} : lift a = lift b ↔ a = b :=
by simp only [le_antisymm_iff, lift_le]
@[simp] theorem lift_lt {a b : ordinal} : lift a < lift b ↔ a < b :=
by simp only [lt_iff_le_not_le, lift_le]
@[simp] theorem lift_zero : lift 0 = 0 :=
quotient.sound ⟨(order_iso.preimage equiv.ulift _).trans
⟨pempty_equiv_pempty, λ a b, iff.rfl⟩⟩
theorem zero_eq_lift_type_empty : 0 = lift.{0 u} (@type empty empty_relation _) :=
by rw [← zero_eq_type_empty, lift_zero]
@[simp] theorem lift_one : lift 1 = 1 :=
quotient.sound ⟨(order_iso.preimage equiv.ulift _).trans
⟨punit_equiv_punit, λ a b, iff.rfl⟩⟩
theorem one_eq_lift_type_unit : 1 = lift.{0 u} (@type unit empty_relation _) :=
by rw [← one_eq_type_unit, lift_one]
@[simp] theorem lift_add (a b) : lift (a + b) = lift a + lift b :=
quotient.induction_on₂ a b $ λ ⟨α, r, _⟩ ⟨β, s, _⟩,
quotient.sound ⟨(order_iso.preimage equiv.ulift _).trans
(order_iso.sum_lex_congr (order_iso.preimage equiv.ulift _)
(order_iso.preimage equiv.ulift _)).symm⟩
@[simp] theorem lift_succ (a) : lift (succ a) = succ (lift a) :=
by unfold succ; simp only [lift_add, lift_one]
@[simp] theorem lift_card (a) : (card a).lift = card (lift a) :=
induction_on a $ λ α r _, rfl
theorem lift_down' {a : cardinal.{u}} {b : ordinal.{max u v}}
(h : card b ≤ a.lift) : ∃ a', lift a' = b :=
let ⟨c, e⟩ := cardinal.lift_down h in
quotient.induction_on c (λ α, induction_on b $ λ β s _ e', begin
resetI,
rw [mk_def, card_type, ← cardinal.lift_id'.{(max u v) u} (mk β),
← cardinal.lift_umax.{u v}, lift_mk_eq.{u (max u v) (max u v)}] at e',
cases e' with f,
have g := order_iso.preimage f s,
haveI := (g : ⇑f ⁻¹'o s ≼o s).is_well_order,
have := lift_type_eq.{u (max u v) (max u v)}.2 ⟨g⟩,
rw [lift_id, lift_umax.{u v}] at this,
exact ⟨_, this⟩
end) e
theorem lift_down {a : ordinal.{u}} {b : ordinal.{max u v}}
(h : b ≤ lift a) : ∃ a', lift a' = b :=
@lift_down' (card a) _ (by rw lift_card; exact card_le_card h)
theorem le_lift_iff {a : ordinal.{u}} {b : ordinal.{max u v}} :
b ≤ lift a ↔ ∃ a', lift a' = b ∧ a' ≤ a :=
⟨λ h, let ⟨a', e⟩ := lift_down h in ⟨a', e, lift_le.1 $ e.symm ▸ h⟩,
λ ⟨a', e, h⟩, e ▸ lift_le.2 h⟩
theorem lt_lift_iff {a : ordinal.{u}} {b : ordinal.{max u v}} :
b < lift a ↔ ∃ a', lift a' = b ∧ a' < a :=
⟨λ h, let ⟨a', e⟩ := lift_down (le_of_lt h) in
⟨a', e, lift_lt.1 $ e.symm ▸ h⟩,
λ ⟨a', e, h⟩, e ▸ lift_lt.2 h⟩
/-- `ω` is the first infinite ordinal, defined as the order type of `ℕ`. -/
def omega : ordinal.{u} := lift $ @type ℕ (<) _
localized "notation `ω` := ordinal.omega.{0}" in ordinal
theorem card_omega : card omega = cardinal.omega := rfl
@[simp] theorem lift_omega : lift omega = omega := lift_lift _
theorem add_le_add_right {a b : ordinal} : a ≤ b → ∀ c, a + c ≤ b + c :=
induction_on a $ λ α₁ r₁ hr₁, induction_on b $ λ α₂ r₂ hr₂ ⟨⟨⟨f, fo⟩, fi⟩⟩ c,
induction_on c $ λ β s hs, (@type_le' _ _ _ _
(@sum.lex.is_well_order _ _ _ _ hr₁ hs)
(@sum.lex.is_well_order _ _ _ _ hr₂ hs)).2
⟨⟨embedding.sum_congr f (embedding.refl _), λ a b, begin
split; intro H,
{ cases H; constructor; [rwa ← fo, assumption] },
{ cases a with a a; cases b with b b; cases H; constructor; [rwa fo, assumption] }
end⟩⟩
theorem le_add_left (a b : ordinal) : a ≤ b + a :=
by simpa only [zero_add] using add_le_add_right (zero_le b) a
theorem le_total (a b : ordinal) : a ≤ b ∨ b ≤ a :=
match lt_or_eq_of_le (le_add_left b a), lt_or_eq_of_le (le_add_right a b) with
| or.inr h, _ := by rw h; exact or.inl (le_add_right _ _)
| _, or.inr h := by rw h; exact or.inr (le_add_left _ _)
| or.inl h₁, or.inl h₂ := induction_on a (λ α₁ r₁ _,
induction_on b $ λ α₂ r₂ _ ⟨f⟩ ⟨g⟩, begin
resetI,
rw [← typein_top f, ← typein_top g, le_iff_lt_or_eq,
le_iff_lt_or_eq, typein_lt_typein, typein_lt_typein],
rcases trichotomous_of (sum.lex r₁ r₂) g.top f.top with h|h|h;
[exact or.inl (or.inl h), {left, right, rw h}, exact or.inr (or.inl h)]
end) h₁ h₂
end
instance : decidable_linear_order ordinal :=
{ le_total := le_total,
decidable_le := classical.dec_rel _,
..ordinal.partial_order }
@[simp] lemma typein_le_typein (r : α → α → Prop) [is_well_order α r] {x x' : α} :
typein r x ≤ typein r x' ↔ ¬r x' x :=
by rw [←not_lt, typein_lt_typein]
lemma enum_le_enum (r : α → α → Prop) [is_well_order α r] {o o' : ordinal}
(ho : o < type r) (ho' : o' < type r) : ¬r (enum r o' ho') (enum r o ho) ↔ o ≤ o' :=
by rw [←@not_lt _ _ o' o, enum_lt ho']
theorem lt_succ {a b : ordinal} : a < succ b ↔ a ≤ b :=
by rw [← not_le, succ_le, not_lt]
theorem add_lt_add_iff_left (a) {b c : ordinal} : a + b < a + c ↔ b < c :=
by rw [← not_le, ← not_le, add_le_add_iff_left]
theorem lt_of_add_lt_add_right {a b c : ordinal} : a + b < c + b → a < c :=
lt_imp_lt_of_le_imp_le (λ h, add_le_add_right h _)
@[simp] theorem succ_lt_succ {a b : ordinal} : succ a < succ b ↔ a < b :=
by rw [lt_succ, succ_le]
@[simp] theorem succ_le_succ {a b : ordinal} : succ a ≤ succ b ↔ a ≤ b :=
le_iff_le_iff_lt_iff_lt.2 succ_lt_succ
theorem succ_inj {a b : ordinal} : succ a = succ b ↔ a = b :=
by simp only [le_antisymm_iff, succ_le_succ]
theorem add_le_add_iff_right {a b : ordinal} (n : ℕ) : a + n ≤ b + n ↔ a ≤ b :=
by induction n with n ih; [rw [nat.cast_zero, add_zero, add_zero],
rw [← nat_cast_succ, add_succ, add_succ, succ_le_succ, ih]]
theorem add_right_cancel {a b : ordinal} (n : ℕ) : a + n = b + n ↔ a = b :=
by simp only [le_antisymm_iff, add_le_add_iff_right]
@[simp] theorem card_eq_zero {o} : card o = 0 ↔ o = 0 :=
⟨induction_on o $ λ α r _ h, begin
refine le_antisymm (le_of_not_lt $
λ hn, ne_zero_iff_nonempty.2 _ h) (zero_le _),
rw [← succ_le, succ_zero] at hn, cases hn with f,
exact ⟨f punit.star⟩
end, λ e, by simp only [e, card_zero]⟩
theorem type_ne_zero_iff_nonempty [is_well_order α r] : type r ≠ 0 ↔ nonempty α :=
(not_congr (@card_eq_zero (type r))).symm.trans ne_zero_iff_nonempty
@[simp] theorem type_eq_zero_iff_empty [is_well_order α r] : type r = 0 ↔ ¬ nonempty α :=
(not_iff_comm.1 type_ne_zero_iff_nonempty).symm
instance : nonzero ordinal.{u} :=
{ zero_ne_one := ne.symm $ type_ne_zero_iff_nonempty.2 ⟨punit.star⟩ }
theorem zero_lt_one : (0 : ordinal) < 1 :=
lt_iff_le_and_ne.2 ⟨zero_le _, zero_ne_one⟩
/-- The ordinal predecessor of `o` is `o'` if `o = succ o'`,
and `o` otherwise. -/
def pred (o : ordinal.{u}) : ordinal.{u} :=
if h : ∃ a, o = succ a then classical.some h else o
@[simp] theorem pred_succ (o) : pred (succ o) = o :=
by have h : ∃ a, succ o = succ a := ⟨_, rfl⟩;
simpa only [pred, dif_pos h] using (succ_inj.1 $ classical.some_spec h).symm
theorem pred_le_self (o) : pred o ≤ o :=
if h : ∃ a, o = succ a then let ⟨a, e⟩ := h in
by rw [e, pred_succ]; exact le_of_lt (lt_succ_self _)
else by rw [pred, dif_neg h]
theorem pred_eq_iff_not_succ {o} : pred o = o ↔ ¬ ∃ a, o = succ a :=
⟨λ e ⟨a, e'⟩, by rw [e', pred_succ] at e; exact ne_of_lt (lt_succ_self _) e,
λ h, dif_neg h⟩
theorem pred_lt_iff_is_succ {o} : pred o < o ↔ ∃ a, o = succ a :=
iff.trans (by simp only [le_antisymm_iff, pred_le_self, true_and, not_le])
(iff_not_comm.1 pred_eq_iff_not_succ).symm
theorem succ_pred_iff_is_succ {o} : succ (pred o) = o ↔ ∃ a, o = succ a :=
⟨λ e, ⟨_, e.symm⟩, λ ⟨a, e⟩, by simp only [e, pred_succ]⟩
theorem succ_lt_of_not_succ {o} (h : ¬ ∃ a, o = succ a) {b} : succ b < o ↔ b < o :=
⟨lt_trans (lt_succ_self _), λ l,
lt_of_le_of_ne (succ_le.2 l) (λ e, h ⟨_, e.symm⟩)⟩
theorem lt_pred {a b} : a < pred b ↔ succ a < b :=
if h : ∃ a, b = succ a then let ⟨c, e⟩ := h in
by rw [e, pred_succ, succ_lt_succ]
else by simp only [pred, dif_neg h, succ_lt_of_not_succ h]
theorem pred_le {a b} : pred a ≤ b ↔ a ≤ succ b :=
le_iff_le_iff_lt_iff_lt.2 lt_pred
@[simp] theorem lift_is_succ {o} : (∃ a, lift o = succ a) ↔ (∃ a, o = succ a) :=
⟨λ ⟨a, h⟩,
let ⟨b, e⟩ := lift_down $ show a ≤ lift o, from le_of_lt $
h.symm ▸ lt_succ_self _ in
⟨b, lift_inj.1 $ by rw [h, ← e, lift_succ]⟩,
λ ⟨a, h⟩, ⟨lift a, by simp only [h, lift_succ]⟩⟩
@[simp] theorem lift_pred (o) : lift (pred o) = pred (lift o) :=
if h : ∃ a, o = succ a then
by cases h with a e; simp only [e, pred_succ, lift_succ]
else by rw [pred_eq_iff_not_succ.2 h,
pred_eq_iff_not_succ.2 (mt lift_is_succ.1 h)]
/-- A limit ordinal is an ordinal which is not zero and not a successor. -/
def is_limit (o : ordinal) : Prop := o ≠ 0 ∧ ∀ a < o, succ a < o
theorem not_zero_is_limit : ¬ is_limit 0
| ⟨h, _⟩ := h rfl
theorem not_succ_is_limit (o) : ¬ is_limit (succ o)
| ⟨_, h⟩ := lt_irrefl _ (h _ (lt_succ_self _))
theorem not_succ_of_is_limit {o} (h : is_limit o) : ¬ ∃ a, o = succ a
| ⟨a, e⟩ := not_succ_is_limit a (e ▸ h)
theorem succ_lt_of_is_limit {o} (h : is_limit o) {a} : succ a < o ↔ a < o :=
⟨lt_trans (lt_succ_self _), h.2 _⟩
theorem le_succ_of_is_limit {o} (h : is_limit o) {a} : o ≤ succ a ↔ o ≤ a :=
le_iff_le_iff_lt_iff_lt.2 $ succ_lt_of_is_limit h
theorem limit_le {o} (h : is_limit o) {a} : o ≤ a ↔ ∀ x < o, x ≤ a :=
⟨λ h x l, le_trans (le_of_lt l) h,
λ H, (le_succ_of_is_limit h).1 $ le_of_not_lt $ λ hn,
not_lt_of_le (H _ hn) (lt_succ_self _)⟩
theorem lt_limit {o} (h : is_limit o) {a} : a < o ↔ ∃ x < o, a < x :=
by simpa only [not_ball, not_le] using not_congr (@limit_le _ h a)
@[simp] theorem lift_is_limit (o) : is_limit (lift o) ↔ is_limit o :=
and_congr (not_congr $ by simpa only [lift_zero] using @lift_inj o 0)
⟨λ H a h, lift_lt.1 $ by simpa only [lift_succ] using H _ (lift_lt.2 h),
λ H a h, let ⟨a', e⟩ := lift_down (le_of_lt h) in
by rw [← e, ← lift_succ, lift_lt];
rw [← e, lift_lt] at h; exact H a' h⟩
theorem is_limit.pos {o : ordinal} (h : is_limit o) : 0 < o :=
lt_of_le_of_ne (zero_le _) h.1.symm
theorem is_limit.one_lt {o : ordinal} (h : is_limit o) : 1 < o :=
by simpa only [succ_zero] using h.2 _ h.pos
theorem is_limit.nat_lt {o : ordinal} (h : is_limit o) : ∀ n : ℕ, (n : ordinal) < o
| 0 := h.pos
| (n+1) := h.2 _ (is_limit.nat_lt n)
theorem zero_or_succ_or_limit (o : ordinal) :
o = 0 ∨ (∃ a, o = succ a) ∨ is_limit o :=
if o0 : o = 0 then or.inl o0 else
if h : ∃ a, o = succ a then or.inr (or.inl h) else
or.inr $ or.inr ⟨o0, λ a, (succ_lt_of_not_succ h).2⟩
instance : is_well_order ordinal (<) := ⟨wf⟩
@[elab_as_eliminator] def limit_rec_on {C : ordinal → Sort*}
(o : ordinal) (H₁ : C 0) (H₂ : ∀ o, C o → C (succ o))
(H₃ : ∀ o, is_limit o → (∀ o' < o, C o') → C o) : C o :=
wf.fix (λ o IH,
if o0 : o = 0 then by rw o0; exact H₁ else
if h : ∃ a, o = succ a then
by rw ← succ_pred_iff_is_succ.2 h; exact
H₂ _ (IH _ $ pred_lt_iff_is_succ.2 h)
else H₃ _ ⟨o0, λ a, (succ_lt_of_not_succ h).2⟩ IH) o
@[simp] theorem limit_rec_on_zero {C} (H₁ H₂ H₃) : @limit_rec_on C 0 H₁ H₂ H₃ = H₁ :=
by rw [limit_rec_on, well_founded.fix_eq, dif_pos rfl]; refl
@[simp] theorem limit_rec_on_succ {C} (o H₁ H₂ H₃) :
@limit_rec_on C (succ o) H₁ H₂ H₃ = H₂ o (@limit_rec_on C o H₁ H₂ H₃) :=
begin
have h : ∃ a, succ o = succ a := ⟨_, rfl⟩,
rw [limit_rec_on, well_founded.fix_eq,
dif_neg (succ_ne_zero o), dif_pos h],
generalize : limit_rec_on._proof_2 (succ o) h = h₂,
generalize : limit_rec_on._proof_3 (succ o) h = h₃,
revert h₂ h₃, generalize e : pred (succ o) = o', intros,
rw pred_succ at e, subst o', refl
end
@[simp] theorem limit_rec_on_limit {C} (o H₁ H₂ H₃ h) :
@limit_rec_on C o H₁ H₂ H₃ = H₃ o h (λ x h, @limit_rec_on C x H₁ H₂ H₃) :=
by rw [limit_rec_on, well_founded.fix_eq,
dif_neg h.1, dif_neg (not_succ_of_is_limit h)]; refl
lemma has_succ_of_is_limit {α} {r : α → α → Prop} [wo : is_well_order α r]
(h : (type r).is_limit) (x : α) : ∃y, r x y :=
begin
use enum r (typein r x).succ (h.2 _ (typein_lt_type r x)),
convert (enum_lt (typein_lt_type r x) _).mpr (lt_succ_self _), rw [enum_typein]
end
lemma type_subrel_lt (o : ordinal.{u}) :
type (subrel (<) {o' : ordinal | o' < o}) = ordinal.lift.{u u+1} o :=
begin
refine quotient.induction_on o _,
rintro ⟨α, r, wo⟩, resetI, apply quotient.sound,
constructor, symmetry, refine (order_iso.preimage equiv.ulift r).trans (typein_iso r)
end
lemma mk_initial_seg (o : ordinal.{u}) :
#{o' : ordinal | o' < o} = cardinal.lift.{u u+1} o.card :=
by rw [lift_card, ←type_subrel_lt, card_type]
/-- A normal ordinal function is a strictly increasing function which is
order-continuous. -/
def is_normal (f : ordinal → ordinal) : Prop :=
(∀ o, f o < f (succ o)) ∧ ∀ o, is_limit o → ∀ a, f o ≤ a ↔ ∀ b < o, f b ≤ a
theorem is_normal.limit_le {f} (H : is_normal f) : ∀ {o}, is_limit o →
∀ {a}, f o ≤ a ↔ ∀ b < o, f b ≤ a := H.2
theorem is_normal.limit_lt {f} (H : is_normal f) {o} (h : is_limit o) {a} :
a < f o ↔ ∃ b < o, a < f b :=
not_iff_not.1 $ by simpa only [exists_prop, not_exists, not_and, not_lt] using H.2 _ h a
theorem is_normal.lt_iff {f} (H : is_normal f) {a b} : f a < f b ↔ a < b :=
strict_mono.lt_iff_lt $ λ a b,
limit_rec_on b (not.elim (not_lt_of_le $ zero_le _))
(λ b IH h, (lt_or_eq_of_le (lt_succ.1 h)).elim
(λ h, lt_trans (IH h) (H.1 _))
(λ e, e ▸ H.1 _))
(λ b l IH h, lt_of_lt_of_le (H.1 a)
((H.2 _ l _).1 (le_refl _) _ (l.2 _ h)))
theorem is_normal.le_iff {f} (H : is_normal f) {a b} : f a ≤ f b ↔ a ≤ b :=
le_iff_le_iff_lt_iff_lt.2 H.lt_iff
theorem is_normal.inj {f} (H : is_normal f) {a b} : f a = f b ↔ a = b :=
by simp only [le_antisymm_iff, H.le_iff]
theorem is_normal.le_self {f} (H : is_normal f) (a) : a ≤ f a :=
limit_rec_on a (zero_le _)
(λ a IH, succ_le.2 $ lt_of_le_of_lt IH (H.1 _))
(λ a l IH, (limit_le l).2 $ λ b h,
le_trans (IH b h) $ H.le_iff.2 $ le_of_lt h)
theorem is_normal.le_set {f} (H : is_normal f) (p : ordinal → Prop)
(p0 : ∃ x, p x) (S)
(H₂ : ∀ o, S ≤ o ↔ ∀ a, p a → a ≤ o) {o} :
f S ≤ o ↔ ∀ a, p a → f a ≤ o :=
⟨λ h a pa, le_trans (H.le_iff.2 ((H₂ _).1 (le_refl _) _ pa)) h,
λ h, begin
revert H₂, apply limit_rec_on S,
{ intro H₂,
cases p0 with x px,
have := le_zero.1 ((H₂ _).1 (zero_le _) _ px),
rw this at px, exact h _ px },
{ intros S _ H₂,
rcases not_ball.1 (mt (H₂ S).2 $ not_le_of_lt $ lt_succ_self _) with ⟨a, h₁, h₂⟩,
exact le_trans (H.le_iff.2 $ succ_le.2 $ not_le.1 h₂) (h _ h₁) },
{ intros S L _ H₂, apply (H.2 _ L _).2, intros a h',
rcases not_ball.1 (mt (H₂ a).2 (not_le.2 h')) with ⟨b, h₁, h₂⟩,
exact le_trans (H.le_iff.2 $ le_of_lt $ not_le.1 h₂) (h _ h₁) }
end⟩
theorem is_normal.le_set' {f} (H : is_normal f) (p : α → Prop) (g : α → ordinal)
(p0 : ∃ x, p x) (S)
(H₂ : ∀ o, S ≤ o ↔ ∀ a, p a → g a ≤ o) {o} :
f S ≤ o ↔ ∀ a, p a → f (g a) ≤ o :=
(H.le_set (λ x, ∃ y, p y ∧ x = g y)
(let ⟨x, px⟩ := p0 in ⟨_, _, px, rfl⟩) _
(λ o, (H₂ o).trans ⟨λ H a ⟨y, h1, h2⟩, h2.symm ▸ H y h1,
λ H a h1, H (g a) ⟨a, h1, rfl⟩⟩)).trans
⟨λ H a h, H (g a) ⟨a, h, rfl⟩, λ H a ⟨y, h1, h2⟩, h2.symm ▸ H y h1⟩
theorem is_normal.refl : is_normal id :=
⟨λ x, lt_succ_self _, λ o l a, limit_le l⟩
theorem is_normal.trans {f g} (H₁ : is_normal f) (H₂ : is_normal g) :
is_normal (λ x, f (g x)) :=
⟨λ x, H₁.lt_iff.2 (H₂.1 _),
λ o l a, H₁.le_set' (< o) g ⟨_, l.pos⟩ _ (λ c, H₂.2 _ l _)⟩
theorem is_normal.is_limit {f} (H : is_normal f) {o} (l : is_limit o) :
is_limit (f o) :=
⟨ne_of_gt $ lt_of_le_of_lt (zero_le _) $ H.lt_iff.2 l.pos,
λ a h, let ⟨b, h₁, h₂⟩ := (H.limit_lt l).1 h in
lt_of_le_of_lt (succ_le.2 h₂) (H.lt_iff.2 h₁)⟩
theorem add_le_of_limit {a b c : ordinal.{u}}
(h : is_limit b) : a + b ≤ c ↔ ∀ b' < b, a + b' ≤ c :=
⟨λ h b' l, le_trans (add_le_add_left (le_of_lt l) _) h,
λ H, le_of_not_lt $
induction_on a (λ α r _, induction_on b $ λ β s _ h H l, begin
resetI,
suffices : ∀ x : β, sum.lex r s (sum.inr x) (enum _ _ l),
{ cases enum _ _ l with x x,
{ cases this (enum s 0 h.pos) },
{ exact irrefl _ (this _) } },
intros x,
rw [← typein_lt_typein (sum.lex r s), typein_enum],
have := H _ (h.2 _ (typein_lt_type s x)),
rw [add_succ, succ_le] at this,
refine lt_of_le_of_lt (type_le'.2
⟨order_embedding.of_monotone (λ a, _) (λ a b, _)⟩) this,
{ rcases a with ⟨a | b, h⟩,
{ exact sum.inl a },
{ exact sum.inr ⟨b, by cases h; assumption⟩ } },
{ rcases a with ⟨a | a, h₁⟩; rcases b with ⟨b | b, h₂⟩; cases h₁; cases h₂;
rintro ⟨⟩; constructor; assumption }
end) h H⟩
theorem add_is_normal (a : ordinal) : is_normal ((+) a) :=
⟨λ b, (add_lt_add_iff_left a).2 (lt_succ_self _),
λ b l c, add_le_of_limit l⟩
theorem add_is_limit (a) {b} : is_limit b → is_limit (a + b) :=
(add_is_normal a).is_limit
def typein.principal_seg {α : Type u} (r : α → α → Prop) [is_well_order α r] :
@principal_seg α ordinal.{u} r (<) :=
⟨order_embedding.of_monotone (typein r)
(λ a b, (typein_lt_typein r).2), type r, λ b,
⟨λ h, ⟨enum r _ h, typein_enum r h⟩,
λ ⟨a, e⟩, e ▸ typein_lt_type _ _⟩⟩
@[simp] theorem typein.principal_seg_coe (r : α → α → Prop) [is_well_order α r] :
(typein.principal_seg r : α → ordinal) = typein r := rfl
/-- The minimal element of a nonempty family of ordinals -/
def min {ι} (I : nonempty ι) (f : ι → ordinal) : ordinal :=
wf.min (set.range f) (let ⟨i⟩ := I in ⟨_, set.mem_range_self i⟩)
theorem min_eq {ι} (I) (f : ι → ordinal) : ∃ i, min I f = f i :=
let ⟨i, e⟩ := wf.min_mem (set.range f) _ in ⟨i, e.symm⟩
theorem min_le {ι I} (f : ι → ordinal) (i) : min I f ≤ f i :=
le_of_not_gt $ wf.not_lt_min (set.range f) _ (set.mem_range_self i)
theorem le_min {ι I} {f : ι → ordinal} {a} : a ≤ min I f ↔ ∀ i, a ≤ f i :=
⟨λ h i, le_trans h (min_le _ _),
λ h, let ⟨i, e⟩ := min_eq I f in e.symm ▸ h i⟩
/-- The minimal element of a nonempty set of ordinals -/
def omin (S : set ordinal.{u}) (H : ∃ x, x ∈ S) : ordinal.{u} :=
@min.{(u+2) u} S (let ⟨x, px⟩ := H in ⟨⟨x, px⟩⟩) subtype.val
theorem omin_mem (S H) : omin S H ∈ S :=
let ⟨⟨i, h⟩, e⟩ := @min_eq S _ _ in
(show omin S H = i, from e).symm ▸ h
theorem le_omin {S H a} : a ≤ omin S H ↔ ∀ i ∈ S, a ≤ i :=
le_min.trans set_coe.forall
theorem omin_le {S H i} (h : i ∈ S) : omin S H ≤ i :=
le_omin.1 (le_refl _) _ h
@[simp] theorem lift_min {ι} (I) (f : ι → ordinal) : lift (min I f) = min I (lift ∘ f) :=
le_antisymm (le_min.2 $ λ a, lift_le.2 $ min_le _ a) $
let ⟨i, e⟩ := min_eq I (lift ∘ f) in
by rw e; exact lift_le.2 (le_min.2 $ λ j, lift_le.1 $
by have := min_le (lift ∘ f) j; rwa e at this)
def lift.initial_seg : @initial_seg ordinal.{u} ordinal.{max u v} (<) (<) :=
⟨⟨⟨lift.{u v}, λ a b, lift_inj.1⟩, λ a b, lift_lt.symm⟩,
λ a b h, lift_down (le_of_lt h)⟩
@[simp] theorem lift.initial_seg_coe : (lift.initial_seg : ordinal → ordinal) = lift := rfl
/-- `univ.{u v}` is the order type of the ordinals of `Type u` as a member
of `ordinal.{v}` (when `u < v`). It is an inaccessible cardinal. -/
def univ := lift.{(u+1) v} (@type ordinal.{u} (<) _)
theorem univ_id : univ.{u (u+1)} = @type ordinal.{u} (<) _ := lift_id _
@[simp] theorem lift_univ : lift.{_ w} univ.{u v} = univ.{u (max v w)} := lift_lift _
theorem univ_umax : univ.{u (max (u+1) v)} = univ.{u v} := congr_fun lift_umax _
def lift.principal_seg : @principal_seg ordinal.{u} ordinal.{max (u+1) v} (<) (<) :=
⟨↑lift.initial_seg.{u (max (u+1) v)}, univ.{u v}, begin
refine λ b, induction_on b _, introsI β s _,
rw [univ, ← lift_umax], split; intro h,
{ rw ← lift_id (type s) at h ⊢,
cases lift_type_lt.1 h with f, cases f with f a hf,
existsi a, revert hf,
apply induction_on a, intros α r _ hf,
refine lift_type_eq.{u (max (u+1) v) (max (u+1) v)}.2
⟨(order_iso.of_surjective (order_embedding.of_monotone _ _) _).symm⟩,
{ exact λ b, enum r (f b) ((hf _).2 ⟨_, rfl⟩) },
{ refine λ a b h, (typein_lt_typein r).1 _,
rw [typein_enum, typein_enum],
exact f.ord.1 h },
{ intro a', cases (hf _).1 (typein_lt_type _ a') with b e,
existsi b, simp, simp [e] } },
{ cases h with a e, rw [← e],
apply induction_on a, intros α r _,
exact lift_type_lt.{u (u+1) (max (u+1) v)}.2
⟨typein.principal_seg r⟩ }
end⟩
@[simp] theorem lift.principal_seg_coe :
(lift.principal_seg.{u v} : ordinal → ordinal) = lift.{u (max (u+1) v)} := rfl
@[simp] theorem lift.principal_seg_top : lift.principal_seg.top = univ := rfl
theorem lift.principal_seg_top' :
lift.principal_seg.{u (u+1)}.top = @type ordinal.{u} (<) _ :=
by simp only [lift.principal_seg_top, univ_id]
/-- `a - b` is the unique ordinal satisfying
`b + (a - b) = a` when `b ≤ a`. -/
def sub (a b : ordinal.{u}) : ordinal.{u} :=
omin {o | a ≤ b+o} ⟨a, le_add_left _ _⟩
instance : has_sub ordinal := ⟨sub⟩
theorem le_add_sub (a b : ordinal) : a ≤ b + (a - b) :=
omin_mem {o | a ≤ b+o} _
theorem sub_le {a b c : ordinal} : a - b ≤ c ↔ a ≤ b + c :=
⟨λ h, le_trans (le_add_sub a b) (add_le_add_left h _),
λ h, omin_le h⟩
theorem lt_sub {a b c : ordinal} : a < b - c ↔ c + a < b :=
lt_iff_lt_of_le_iff_le sub_le
theorem add_sub_cancel (a b : ordinal) : a + b - a = b :=
le_antisymm (sub_le.2 $ le_refl _)
((add_le_add_iff_left a).1 $ le_add_sub _ _)
theorem sub_eq_of_add_eq {a b c : ordinal} (h : a + b = c) : c - a = b :=
h ▸ add_sub_cancel _ _
theorem sub_le_self (a b : ordinal) : a - b ≤ a :=
sub_le.2 $ le_add_left _ _
theorem add_sub_cancel_of_le {a b : ordinal} (h : b ≤ a) : b + (a - b) = a :=
le_antisymm begin
rcases zero_or_succ_or_limit (a-b) with e|⟨c,e⟩|l,
{ simp only [e, add_zero, h] },
{ rw [e, add_succ, succ_le, ← lt_sub, e], apply lt_succ_self },
{ exact (add_le_of_limit l).2 (λ c l, le_of_lt (lt_sub.1 l)) }
end (le_add_sub _ _)
@[simp] theorem sub_zero (a : ordinal) : a - 0 = a :=
by simpa only [zero_add] using add_sub_cancel 0 a
@[simp] theorem zero_sub (a : ordinal) : 0 - a = 0 :=
by rw ← le_zero; apply sub_le_self
@[simp] theorem sub_self (a : ordinal) : a - a = 0 :=
by simpa only [add_zero] using add_sub_cancel a 0
theorem sub_eq_zero_iff_le {a b : ordinal} : a - b = 0 ↔ a ≤ b :=
⟨λ h, by simpa only [h, add_zero] using le_add_sub a b,
λ h, by rwa [← le_zero, sub_le, add_zero]⟩
theorem sub_sub (a b c : ordinal) : a - b - c = a - (b + c) :=
eq_of_forall_ge_iff $ λ d, by rw [sub_le, sub_le, sub_le, add_assoc]
theorem add_sub_add_cancel (a b c : ordinal) : a + b - (a + c) = b - c :=
by rw [← sub_sub, add_sub_cancel]
theorem sub_is_limit {a b} (l : is_limit a) (h : b < a) : is_limit (a - b) :=
⟨ne_of_gt $ lt_sub.2 $ by rwa add_zero,
λ c h, by rw [lt_sub, add_succ]; exact l.2 _ (lt_sub.1 h)⟩
@[simp] theorem one_add_omega : 1 + omega.{u} = omega :=
begin
refine le_antisymm _ (le_add_left _ _),
rw [omega, one_eq_lift_type_unit, ← lift_add, lift_le, type_add],
have : is_well_order unit empty_relation := by apply_instance,
refine ⟨order_embedding.collapse (order_embedding.of_monotone _ _)⟩,
{ apply sum.rec, exact λ _, 0, exact nat.succ },
{ intros a b, cases a; cases b; intro H; cases H with _ _ H _ _ H;
[cases H, exact nat.succ_pos _, exact nat.succ_lt_succ H] }
end
@[simp, priority 990]
theorem one_add_of_omega_le {o} (h : omega ≤ o) : 1 + o = o :=
by rw [← add_sub_cancel_of_le h, ← add_assoc, one_add_omega]
instance : monoid ordinal.{u} :=
{ mul := λ a b, quotient.lift_on₂ a b
(λ ⟨α, r, wo⟩ ⟨β, s, wo'⟩, ⟦⟨β × α, prod.lex s r, by exactI prod.lex.is_well_order⟩⟧
: Well_order → Well_order → ordinal) $
λ ⟨α₁, r₁, o₁⟩ ⟨α₂, r₂, o₂⟩ ⟨β₁, s₁, p₁⟩ ⟨β₂, s₂, p₂⟩ ⟨f⟩ ⟨g⟩,
quot.sound ⟨order_iso.prod_lex_congr g f⟩,
one := 1,
mul_assoc := λ a b c, quotient.induction_on₃ a b c $ λ ⟨α, r, _⟩ ⟨β, s, _⟩ ⟨γ, t, _⟩,
eq.symm $ quotient.sound ⟨⟨prod_assoc _ _ _, λ a b, begin
rcases a with ⟨⟨a₁, a₂⟩, a₃⟩,
rcases b with ⟨⟨b₁, b₂⟩, b₃⟩,
simp [prod.lex_def, and_or_distrib_left, or_assoc, and_assoc]
end⟩⟩,
mul_one := λ a, induction_on a $ λ α r _, quotient.sound
⟨⟨punit_prod _, λ a b, by rcases a with ⟨⟨⟨⟩⟩, a⟩; rcases b with ⟨⟨⟨⟩⟩, b⟩;
simp only [prod.lex_def, empty_relation, false_or];
simp only [eq_self_iff_true, true_and]; refl⟩⟩,
one_mul := λ a, induction_on a $ λ α r _, quotient.sound
⟨⟨prod_punit _, λ a b, by rcases a with ⟨a, ⟨⟨⟩⟩⟩; rcases b with ⟨b, ⟨⟨⟩⟩⟩;
simp only [prod.lex_def, empty_relation, and_false, or_false]; refl⟩⟩ }
@[simp] theorem type_mul {α β : Type u} (r : α → α → Prop) (s : β → β → Prop)
[is_well_order α r] [is_well_order β s] : type r * type s = type (prod.lex s r) := rfl
@[simp] theorem lift_mul (a b) : lift (a * b) = lift a * lift b :=
quotient.induction_on₂ a b $ λ ⟨α, r, _⟩ ⟨β, s, _⟩,
quotient.sound ⟨(order_iso.preimage equiv.ulift _).trans
(order_iso.prod_lex_congr (order_iso.preimage equiv.ulift _)
(order_iso.preimage equiv.ulift _)).symm⟩
@[simp] theorem card_mul (a b) : card (a * b) = card a * card b :=
quotient.induction_on₂ a b $ λ ⟨α, r, _⟩ ⟨β, s, _⟩,
mul_comm (mk β) (mk α)
@[simp] theorem mul_zero (a : ordinal) : a * 0 = 0 :=
induction_on a $ λ α _ _, by exactI
type_eq_zero_iff_empty.2 (λ ⟨⟨e, _⟩⟩, e.elim)
@[simp] theorem zero_mul (a : ordinal) : 0 * a = 0 :=
induction_on a $ λ α _ _, by exactI
type_eq_zero_iff_empty.2 (λ ⟨⟨_, e⟩⟩, e.elim)
theorem mul_add (a b c : ordinal) : a * (b + c) = a * b + a * c :=
quotient.induction_on₃ a b c $ λ ⟨α, r, _⟩ ⟨β, s, _⟩ ⟨γ, t, _⟩,
quotient.sound ⟨⟨sum_prod_distrib _ _ _, begin
rintro ⟨a₁|a₁, a₂⟩ ⟨b₁|b₁, b₂⟩; simp only [prod.lex_def,
sum.lex_inl_inl, sum.lex.sep, sum.lex_inr_inl, sum.lex_inr_inr,
sum_prod_distrib_apply_left, sum_prod_distrib_apply_right];
simp only [sum.inl.inj_iff, true_or, false_and, false_or]
end⟩⟩
@[simp] theorem mul_add_one (a b : ordinal) : a * (b + 1) = a * b + a :=
by simp only [mul_add, mul_one]
@[simp] theorem mul_succ (a b : ordinal) : a * succ b = a * b + a := mul_add_one _ _
theorem mul_le_mul_left {a b} (c : ordinal) : a ≤ b → c * a ≤ c * b :=
quotient.induction_on₃ a b c $ λ ⟨α, r, _⟩ ⟨β, s, _⟩ ⟨γ, t, _⟩ ⟨f⟩, begin
resetI,
refine type_le'.2 ⟨order_embedding.of_monotone
(λ a, (f a.1, a.2))
(λ a b h, _)⟩, clear_,
cases h with a₁ b₁ a₂ b₂ h' a b₁ b₂ h',
{ exact prod.lex.left _ _ (f.to_order_embedding.ord.1 h') },
{ exact prod.lex.right _ h' }
end
theorem mul_le_mul_right {a b} (c : ordinal) : a ≤ b → a * c ≤ b * c :=
quotient.induction_on₃ a b c $ λ ⟨α, r, _⟩ ⟨β, s, _⟩ ⟨γ, t, _⟩ ⟨f⟩, begin
resetI,
refine type_le'.2 ⟨order_embedding.of_monotone
(λ a, (a.1, f a.2))
(λ a b h, _)⟩,
cases h with a₁ b₁ a₂ b₂ h' a b₁ b₂ h',
{ exact prod.lex.left _ _ h' },
{ exact prod.lex.right _ (f.to_order_embedding.ord.1 h') }
end
theorem mul_le_mul {a b c d : ordinal} (h₁ : a ≤ c) (h₂ : b ≤ d) : a * b ≤ c * d :=
le_trans (mul_le_mul_left _ h₂) (mul_le_mul_right _ h₁)
private lemma mul_le_of_limit_aux {α β r s} [is_well_order α r] [is_well_order β s]
{c} (h : is_limit (type s)) (H : ∀ b' < type s, type r * b' ≤ c)
(l : c < type r * type s) : false :=
begin
suffices : ∀ a b, prod.lex s r (b, a) (enum _ _ l),
{ cases enum _ _ l with b a, exact irrefl _ (this _ _) },
intros a b,
rw [← typein_lt_typein (prod.lex s r), typein_enum],
have := H _ (h.2 _ (typein_lt_type s b)),
rw [mul_succ] at this,
have := lt_of_lt_of_le ((add_lt_add_iff_left _).2
(typein_lt_type _ a)) this,
refine lt_of_le_of_lt _ this,
refine (type_le'.2 _),
constructor,
refine order_embedding.of_monotone (λ a, _) (λ a b, _),
{ rcases a with ⟨⟨b', a'⟩, h⟩,
by_cases e : b = b',
{ refine sum.inr ⟨a', _⟩,
subst e, cases h with _ _ _ _ h _ _ _ h,
{ exact (irrefl _ h).elim },
{ exact h } },
{ refine sum.inl (⟨b', _⟩, a'),
cases h with _ _ _ _ h _ _ _ h,
{ exact h }, { exact (e rfl).elim } } },
{ rcases a with ⟨⟨b₁, a₁⟩, h₁⟩,
rcases b with ⟨⟨b₂, a₂⟩, h₂⟩,
intro h, by_cases e₁ : b = b₁; by_cases e₂ : b = b₂,
{ substs b₁ b₂,
simpa only [subrel_val, prod.lex_def, @irrefl _ s _ b, true_and, false_or, eq_self_iff_true,
dif_pos, sum.lex_inr_inr] using h },
{ subst b₁,
simp only [subrel_val, prod.lex_def, e₂, prod.lex_def, dif_pos, subrel_val, eq_self_iff_true,
or_false, dif_neg, not_false_iff, sum.lex_inr_inl, false_and] at h ⊢,
cases h₂; [exact asymm h h₂_h, exact e₂ rfl] },
{ simp only [e₂, dif_pos, eq_self_iff_true, dif_neg e₁, not_false_iff, sum.lex.sep] },
{ simpa only [dif_neg e₁, dif_neg e₂, prod.lex_def, subrel_val, subtype.mk_eq_mk,
sum.lex_inl_inl] using h } }
end
theorem mul_le_of_limit {a b c : ordinal.{u}}
(h : is_limit b) : a * b ≤ c ↔ ∀ b' < b, a * b' ≤ c :=
⟨λ h b' l, le_trans (mul_le_mul_left _ (le_of_lt l)) h,
λ H, le_of_not_lt $ induction_on a (λ α r _, induction_on b $ λ β s _,
by exactI mul_le_of_limit_aux) h H⟩
theorem mul_is_normal {a : ordinal} (h : 0 < a) : is_normal ((*) a) :=
⟨λ b, by rw mul_succ; simpa only [add_zero] using (add_lt_add_iff_left (a*b)).2 h,
λ b l c, mul_le_of_limit l⟩
theorem lt_mul_of_limit {a b c : ordinal.{u}}
(h : is_limit c) : a < b * c ↔ ∃ c' < c, a < b * c' :=
by simpa only [not_ball, not_le] using not_congr (@mul_le_of_limit b c a h)
theorem mul_lt_mul_iff_left {a b c : ordinal} (a0 : 0 < a) : a * b < a * c ↔ b < c :=
(mul_is_normal a0).lt_iff
theorem mul_le_mul_iff_left {a b c : ordinal} (a0 : 0 < a) : a * b ≤ a * c ↔ b ≤ c :=
(mul_is_normal a0).le_iff
theorem mul_lt_mul_of_pos_left {a b c : ordinal}
(h : a < b) (c0 : 0 < c) : c * a < c * b :=
(mul_lt_mul_iff_left c0).2 h
theorem mul_pos {a b : ordinal} (h₁ : 0 < a) (h₂ : 0 < b) : 0 < a * b :=
by simpa only [mul_zero] using mul_lt_mul_of_pos_left h₂ h₁
theorem mul_ne_zero {a b : ordinal} : a ≠ 0 → b ≠ 0 → a * b ≠ 0 :=
by simpa only [pos_iff_ne_zero] using mul_pos
theorem le_of_mul_le_mul_left {a b c : ordinal}
(h : c * a ≤ c * b) (h0 : 0 < c) : a ≤ b :=
le_imp_le_of_lt_imp_lt (λ h', mul_lt_mul_of_pos_left h' h0) h
theorem mul_right_inj {a b c : ordinal} (a0 : 0 < a) : a * b = a * c ↔ b = c :=
(mul_is_normal a0).inj
theorem mul_is_limit {a b : ordinal}
(a0 : 0 < a) : is_limit b → is_limit (a * b) :=
(mul_is_normal a0).is_limit
theorem mul_is_limit_left {a b : ordinal}
(l : is_limit a) (b0 : 0 < b) : is_limit (a * b) :=
begin
rcases zero_or_succ_or_limit b with rfl|⟨b,rfl⟩|lb,
{ exact (lt_irrefl _).elim b0 },
{ rw mul_succ, exact add_is_limit _ l },
{ exact mul_is_limit l.pos lb }
end
protected lemma div_aux (a b : ordinal.{u}) (h : b ≠ 0) : set.nonempty {o | a < b * succ o} :=
⟨a, succ_le.1 $
by simpa only [succ_zero, one_mul]
using mul_le_mul_right (succ a) (succ_le.2 (pos_iff_ne_zero.2 h))⟩
/-- `a / b` is the unique ordinal `o` satisfying
`a = b * o + o'` with `o' < b`. -/
protected def div (a b : ordinal.{u}) : ordinal.{u} :=
if h : b = 0 then 0 else omin {o | a < b * succ o} (ordinal.div_aux a b h)
instance : has_div ordinal := ⟨ordinal.div⟩
@[simp] theorem div_zero (a : ordinal) : a / 0 = 0 := dif_pos rfl
lemma div_def (a) {b : ordinal} (h : b ≠ 0) :
a / b = omin {o | a < b * succ o} (ordinal.div_aux a b h) := dif_neg h
theorem lt_mul_succ_div (a) {b : ordinal} (h : b ≠ 0) : a < b * succ (a / b) :=
by rw div_def a h; exact omin_mem {o | a < b * succ o} _
theorem lt_mul_div_add (a) {b : ordinal} (h : b ≠ 0) : a < b * (a / b) + b :=
by simpa only [mul_succ] using lt_mul_succ_div a h
theorem div_le {a b c : ordinal} (b0 : b ≠ 0) : a / b ≤ c ↔ a < b * succ c :=
⟨λ h, lt_of_lt_of_le (lt_mul_succ_div a b0) (mul_le_mul_left _ $ succ_le_succ.2 h),
λ h, by rw div_def a b0; exact omin_le h⟩
theorem lt_div {a b c : ordinal} (c0 : c ≠ 0) : a < b / c ↔ c * succ a ≤ b :=
by rw [← not_le, div_le c0, not_lt]
theorem le_div {a b c : ordinal} (c0 : c ≠ 0) :
a ≤ b / c ↔ c * a ≤ b :=
begin
apply limit_rec_on a,
{ simp only [mul_zero, zero_le] },
{ intros, rw [succ_le, lt_div c0] },
{ simp only [mul_le_of_limit, limit_le, iff_self, forall_true_iff] {contextual := tt} }
end
theorem div_lt {a b c : ordinal} (b0 : b ≠ 0) :
a / b < c ↔ a < b * c :=
lt_iff_lt_of_le_iff_le $ le_div b0
theorem div_le_of_le_mul {a b c : ordinal} (h : a ≤ b * c) : a / b ≤ c :=
if b0 : b = 0 then by simp only [b0, div_zero, zero_le] else
(div_le b0).2 $ lt_of_le_of_lt h $
mul_lt_mul_of_pos_left (lt_succ_self _) (pos_iff_ne_zero.2 b0)
theorem mul_lt_of_lt_div {a b c : ordinal} : a < b / c → c * a < b :=
lt_imp_lt_of_le_imp_le div_le_of_le_mul
@[simp] theorem zero_div (a : ordinal) : 0 / a = 0 :=
le_zero.1 $ div_le_of_le_mul $ zero_le _
theorem mul_div_le (a b : ordinal) : b * (a / b) ≤ a :=
if b0 : b = 0 then by simp only [b0, zero_mul, zero_le] else (le_div b0).1 (le_refl _)
theorem mul_add_div (a) {b : ordinal} (b0 : b ≠ 0) (c) : (b * a + c) / b = a + c / b :=
begin
apply le_antisymm,
{ apply (div_le b0).2,
rw [mul_succ, mul_add, add_assoc, add_lt_add_iff_left],
apply lt_mul_div_add _ b0 },
{ rw [le_div b0, mul_add, add_le_add_iff_left],
apply mul_div_le }
end
theorem div_eq_zero_of_lt {a b : ordinal} (h : a < b) : a / b = 0 :=
by rw [← le_zero, div_le $ pos_iff_ne_zero.1 $ lt_of_le_of_lt (zero_le _) h];
simpa only [succ_zero, mul_one] using h
@[simp] theorem mul_div_cancel (a) {b : ordinal} (b0 : b ≠ 0) : b * a / b = a :=
by simpa only [add_zero, zero_div] using mul_add_div a b0 0
@[simp] theorem div_one (a : ordinal) : a / 1 = a :=
by simpa only [one_mul] using mul_div_cancel a one_ne_zero
@[simp] theorem div_self {a : ordinal} (h : a ≠ 0) : a / a = 1 :=
by simpa only [mul_one] using mul_div_cancel 1 h
theorem mul_sub (a b c : ordinal) : a * (b - c) = a * b - a * c :=
if a0 : a = 0 then by simp only [a0, zero_mul, sub_self] else
eq_of_forall_ge_iff $ λ d,
by rw [sub_le, ← le_div a0, sub_le, ← le_div a0, mul_add_div _ a0]
theorem is_limit_add_iff {a b} : is_limit (a + b) ↔ is_limit b ∨ (b = 0 ∧ is_limit a) :=
begin
split; intro h,
{ by_cases h' : b = 0,
{ rw [h', add_zero] at h, right, exact ⟨h', h⟩ },
left, rw [←add_sub_cancel a b], apply sub_is_limit h,
suffices : a + 0 < a + b, simpa only [add_zero],
rwa [add_lt_add_iff_left, pos_iff_ne_zero] },
rcases h with h|⟨rfl, h⟩, exact add_is_limit a h, simpa only [add_zero]
end
/-- Divisibility is defined by right multiplication:
`a ∣ b` if there exists `c` such that `b = a * c`. -/
instance : has_dvd ordinal := ⟨λ a b, ∃ c, b = a * c⟩
theorem dvd_def {a b : ordinal} : a ∣ b ↔ ∃ c, b = a * c := iff.rfl
theorem dvd_mul (a b : ordinal) : a ∣ a * b := ⟨_, rfl⟩
theorem dvd_trans : ∀ {a b c : ordinal}, a ∣ b → b ∣ c → a ∣ c
| a _ _ ⟨b, rfl⟩ ⟨c, rfl⟩ := ⟨b * c, mul_assoc _ _ _⟩
theorem dvd_mul_of_dvd {a b : ordinal} (c) (h : a ∣ b) : a ∣ b * c :=
dvd_trans h (dvd_mul _ _)
theorem dvd_add_iff : ∀ {a b c : ordinal}, a ∣ b → (a ∣ b + c ↔ a ∣ c)
| a _ c ⟨b, rfl⟩ :=
⟨λ ⟨d, e⟩, ⟨d - b, by rw [mul_sub, ← e, add_sub_cancel]⟩,
λ ⟨d, e⟩, by rw [e, ← mul_add]; apply dvd_mul⟩
theorem dvd_add {a b c : ordinal} (h₁ : a ∣ b) : a ∣ c → a ∣ b + c :=
(dvd_add_iff h₁).2
theorem dvd_zero (a : ordinal) : a ∣ 0 := ⟨_, (mul_zero _).symm⟩
theorem zero_dvd {a : ordinal} : 0 ∣ a ↔ a = 0 :=
⟨λ ⟨h, e⟩, by simp only [e, zero_mul], λ e, e.symm ▸ dvd_zero _⟩
theorem one_dvd (a : ordinal) : 1 ∣ a := ⟨a, (one_mul _).symm⟩
theorem div_mul_cancel : ∀ {a b : ordinal}, a ≠ 0 → a ∣ b → a * (b / a) = b
| a _ a0 ⟨b, rfl⟩ := by rw [mul_div_cancel _ a0]
theorem le_of_dvd : ∀ {a b : ordinal}, b ≠ 0 → a ∣ b → a ≤ b
| a _ b0 ⟨b, rfl⟩ := by simpa only [mul_one] using mul_le_mul_left a
(one_le_iff_ne_zero.2 (λ h : b = 0, by simpa only [h, mul_zero] using b0))
theorem dvd_antisymm {a b : ordinal} (h₁ : a ∣ b) (h₂ : b ∣ a) : a = b :=
if a0 : a = 0 then by subst a; exact (zero_dvd.1 h₁).symm else
if b0 : b = 0 then by subst b; exact zero_dvd.1 h₂ else
le_antisymm (le_of_dvd b0 h₁) (le_of_dvd a0 h₂)
/-- `a % b` is the unique ordinal `o'` satisfying
`a = b * o + o'` with `o' < b`. -/
instance : has_mod ordinal := ⟨λ a b, a - b * (a / b)⟩
theorem mod_def (a b : ordinal) : a % b = a - b * (a / b) := rfl
@[simp] theorem mod_zero (a : ordinal) : a % 0 = a :=
by simp only [mod_def, div_zero, zero_mul, sub_zero]
theorem mod_eq_of_lt {a b : ordinal} (h : a < b) : a % b = a :=
by simp only [mod_def, div_eq_zero_of_lt h, mul_zero, sub_zero]
@[simp] theorem zero_mod (b : ordinal) : 0 % b = 0 :=
by simp only [mod_def, zero_div, mul_zero, sub_self]
theorem div_add_mod (a b : ordinal) : b * (a / b) + a % b = a :=
add_sub_cancel_of_le $ mul_div_le _ _
theorem mod_lt (a) {b : ordinal} (h : b ≠ 0) : a % b < b :=
(add_lt_add_iff_left (b * (a / b))).1 $
by rw div_add_mod; exact lt_mul_div_add a h
@[simp] theorem mod_self (a : ordinal) : a % a = 0 :=
if a0 : a = 0 then by simp only [a0, zero_mod] else
by simp only [mod_def, div_self a0, mul_one, sub_self]
@[simp] theorem mod_one (a : ordinal) : a % 1 = 0 :=
by simp only [mod_def, div_one, one_mul, sub_self]
end ordinal
namespace cardinal
open ordinal
/-- The ordinal corresponding to a cardinal `c` is the least ordinal
whose cardinal is `c`. -/
def ord (c : cardinal) : ordinal :=
begin
let ι := λ α, {r // is_well_order α r},
have : Π α, ι α := λ α, ⟨well_ordering_rel, by apply_instance⟩,
let F := λ α, ordinal.min ⟨this _⟩ (λ i:ι α, ⟦⟨α, i.1, i.2⟩⟧),
refine quot.lift_on c F _,
suffices : ∀ {α β}, α ≈ β → F α ≤ F β,
from λ α β h, le_antisymm (this h) (this (setoid.symm h)),
intros α β h, cases h with f, refine ordinal.le_min.2 (λ i, _),
haveI := @order_embedding.is_well_order _ _
(f ⁻¹'o i.1) _ ↑(order_iso.preimage f i.1) i.2,
rw ← show type (f ⁻¹'o i.1) = ⟦⟨β, i.1, i.2⟩⟧, from
quot.sound ⟨order_iso.preimage f i.1⟩,
exact ordinal.min_le (λ i:ι α, ⟦⟨α, i.1, i.2⟩⟧) ⟨_, _⟩
end
@[nolint def_lemma doc_blame] -- TODO: This should be a theorem but Lean fails to synthesize the placeholder
def ord_eq_min (α : Type u) : ord (mk α) =
@ordinal.min _ _ (λ i:{r // is_well_order α r}, ⟦⟨α, i.1, i.2⟩⟧) := rfl
theorem ord_eq (α) : ∃ (r : α → α → Prop) [wo : is_well_order α r],
ord (mk α) = @type α r wo :=
let ⟨⟨r, wo⟩, h⟩ := @ordinal.min_eq {r // is_well_order α r}
⟨⟨well_ordering_rel, by apply_instance⟩⟩
(λ i:{r // is_well_order α r}, ⟦⟨α, i.1, i.2⟩⟧) in
⟨r, wo, h⟩
theorem ord_le_type (r : α → α → Prop) [is_well_order α r] : ord (mk α) ≤ ordinal.type r :=
@ordinal.min_le {r // is_well_order α r}
⟨⟨well_ordering_rel, by apply_instance⟩⟩
(λ i:{r // is_well_order α r}, ⟦⟨α, i.1, i.2⟩⟧) ⟨r, _⟩
theorem ord_le {c o} : ord c ≤ o ↔ c ≤ o.card :=
quotient.induction_on c $ λ α, induction_on o $ λ β s _,
let ⟨r, _, e⟩ := ord_eq α in begin
resetI, simp only [mk_def, card_type], split; intro h,
{ rw e at h, exact let ⟨f⟩ := h in ⟨f.to_embedding⟩ },
{ cases h with f,
have g := order_embedding.preimage f s,
haveI := order_embedding.is_well_order g,
exact le_trans (ord_le_type _) (type_le'.2 ⟨g⟩) }
end
theorem lt_ord {c o} : o < ord c ↔ o.card < c :=
by rw [← not_le, ← not_le, ord_le]
@[simp] theorem card_ord (c) : (ord c).card = c :=
quotient.induction_on c $ λ α,
let ⟨r, _, e⟩ := ord_eq α in by simp only [mk_def, e, card_type]
theorem ord_card_le (o : ordinal) : o.card.ord ≤ o :=
ord_le.2 (le_refl _)
lemma lt_ord_succ_card (o : ordinal) : o < o.card.succ.ord :=
by { rw [lt_ord], apply cardinal.lt_succ_self }
@[simp] theorem ord_le_ord {c₁ c₂} : ord c₁ ≤ ord c₂ ↔ c₁ ≤ c₂ :=
by simp only [ord_le, card_ord]
@[simp] theorem ord_lt_ord {c₁ c₂} : ord c₁ < ord c₂ ↔ c₁ < c₂ :=
by simp only [lt_ord, card_ord]
@[simp] theorem ord_zero : ord 0 = 0 :=
le_antisymm (ord_le.2 $ zero_le _) (ordinal.zero_le _)
@[simp] theorem ord_nat (n : ℕ) : ord n = n :=
le_antisymm (ord_le.2 $ by simp only [card_nat]) $ begin
induction n with n IH,
{ apply ordinal.zero_le },
{ exact (@ordinal.succ_le n _).2 (lt_of_le_of_lt IH $
ord_lt_ord.2 $ nat_cast_lt.2 (nat.lt_succ_self n)) }
end
@[simp] theorem lift_ord (c) : (ord c).lift = ord (lift c) :=
eq_of_forall_ge_iff $ λ o, le_iff_le_iff_lt_iff_lt.2 $ begin
split; intro h,
{ rcases ordinal.lt_lift_iff.1 h with ⟨a, e, h⟩,
rwa [← e, lt_ord, ← lift_card, lift_lt, ← lt_ord] },
{ rw lt_ord at h,
rcases lift_down' (le_of_lt h) with ⟨o, rfl⟩,
rw [← lift_card, lift_lt] at h,
rwa [ordinal.lift_lt, lt_ord] }
end
lemma mk_ord_out (c : cardinal) : mk c.ord.out.α = c :=
by rw [←card_type c.ord.out.r, type_out, card_ord]
lemma card_typein_lt (r : α → α → Prop) [is_well_order α r] (x : α)
(h : ord (mk α) = type r) : card (typein r x) < mk α :=
by { rw [←ord_lt_ord, h], refine lt_of_le_of_lt (ord_card_le _) (typein_lt_type r x) }
lemma card_typein_out_lt (c : cardinal) (x : c.ord.out.α) : card (typein c.ord.out.r x) < c :=
by { convert card_typein_lt c.ord.out.r x _, rw [mk_ord_out], rw [type_out, mk_ord_out] }
lemma ord_injective : injective ord :=
by { intros c c' h, rw [←card_ord c, ←card_ord c', h] }
def ord.order_embedding : @order_embedding cardinal ordinal (<) (<) :=
order_embedding.of_monotone cardinal.ord $ λ a b, cardinal.ord_lt_ord.2
@[simp] theorem ord.order_embedding_coe :
(ord.order_embedding : cardinal → ordinal) = ord := rfl
/-- The cardinal `univ` is the cardinality of ordinal `univ`, or
equivalently the cardinal of `ordinal.{u}`, or `cardinal.{u}`,
as an element of `cardinal.{v}` (when `u < v`). -/
def univ := lift.{(u+1) v} (mk ordinal)
theorem univ_id : univ.{u (u+1)} = mk ordinal := lift_id _
@[simp] theorem lift_univ : lift.{_ w} univ.{u v} = univ.{u (max v w)} := lift_lift _
theorem univ_umax : univ.{u (max (u+1) v)} = univ.{u v} := congr_fun lift_umax _
theorem lift_lt_univ (c : cardinal) : lift.{u (u+1)} c < univ.{u (u+1)} :=
by simpa only [lift.principal_seg_coe, lift_ord, lift_succ, ord_le, succ_le] using le_of_lt
(lift.principal_seg.{u (u+1)}.lt_top (succ c).ord)
theorem lift_lt_univ' (c : cardinal) : lift.{u (max (u+1) v)} c < univ.{u v} :=
by simpa only [lift_lift, lift_univ, univ_umax] using
lift_lt.{_ (max (u+1) v)}.2 (lift_lt_univ c)
@[simp] theorem ord_univ : ord univ.{u v} = ordinal.univ.{u v} :=
le_antisymm (ord_card_le _) $ le_of_forall_lt $ λ o h,
lt_ord.2 begin
rcases lift.principal_seg.{u v}.down'.1
(by simpa only [lift.principal_seg_coe] using h) with ⟨o', rfl⟩,
simp only [lift.principal_seg_coe], rw [← lift_card],
apply lift_lt_univ'
end
theorem lt_univ {c} : c < univ.{u (u+1)} ↔ ∃ c', c = lift.{u (u+1)} c' :=
⟨λ h, begin
have := ord_lt_ord.2 h,
rw ord_univ at this,
cases lift.principal_seg.{u (u+1)}.down'.1
(by simpa only [lift.principal_seg_top]) with o e,
have := card_ord c,
rw [← e, lift.principal_seg_coe, ← lift_card] at this,
exact ⟨_, this.symm⟩
end, λ ⟨c', e⟩, e.symm ▸ lift_lt_univ _⟩
theorem lt_univ' {c} : c < univ.{u v} ↔ ∃ c', c = lift.{u (max (u+1) v)} c' :=
⟨λ h, let ⟨a, e, h'⟩ := lt_lift_iff.1 h in begin
rw [← univ_id] at h',
rcases lt_univ.{u}.1 h' with ⟨c', rfl⟩,
exact ⟨c', by simp only [e.symm, lift_lift]⟩
end, λ ⟨c', e⟩, e.symm ▸ lift_lt_univ' _⟩
end cardinal
namespace ordinal
@[simp] theorem card_univ : card univ = cardinal.univ := rfl
/-- The supremum of a family of ordinals -/
def sup {ι} (f : ι → ordinal) : ordinal :=
omin {c | ∀ i, f i ≤ c}
⟨(sup (cardinal.succ ∘ card ∘ f)).ord, λ i, le_of_lt $
cardinal.lt_ord.2 (lt_of_lt_of_le (cardinal.lt_succ_self _) (le_sup _ _))⟩
theorem le_sup {ι} (f : ι → ordinal) : ∀ i, f i ≤ sup f :=
omin_mem {c | ∀ i, f i ≤ c} _
theorem sup_le {ι} {f : ι → ordinal} {a} : sup f ≤ a ↔ ∀ i, f i ≤ a :=
⟨λ h i, le_trans (le_sup _ _) h, λ h, omin_le h⟩
theorem lt_sup {ι} {f : ι → ordinal} {a} : a < sup f ↔ ∃ i, a < f i :=
by simpa only [not_forall, not_le] using not_congr (@sup_le _ f a)
theorem is_normal.sup {f} (H : is_normal f)
{ι} {g : ι → ordinal} (h : nonempty ι) : f (sup g) = sup (f ∘ g) :=
eq_of_forall_ge_iff $ λ a,
by rw [sup_le, comp, H.le_set' (λ_:ι, true) g (let ⟨i⟩ := h in ⟨i, ⟨⟩⟩)];
intros; simp only [sup_le, true_implies_iff]
theorem sup_ord {ι} (f : ι → cardinal) : sup (λ i, (f i).ord) = (cardinal.sup f).ord :=
eq_of_forall_ge_iff $ λ a, by simp only [sup_le, cardinal.ord_le, cardinal.sup_le]
lemma sup_succ {ι} (f : ι → ordinal) : sup (λ i, succ (f i)) ≤ succ (sup f) :=
by { rw [ordinal.sup_le], intro i, rw ordinal.succ_le_succ, apply ordinal.le_sup }
lemma unbounded_range_of_sup_ge {α β : Type u} (r : α → α → Prop) [is_well_order α r] (f : β → α)
(h : sup.{u u} (typein r ∘ f) ≥ type r) : unbounded r (range f) :=
begin
apply (not_bounded_iff _).mp, rintro ⟨x, hx⟩, apply not_lt_of_ge h,
refine lt_of_le_of_lt _ (typein_lt_type r x), rw [sup_le], intro y,
apply le_of_lt, rw typein_lt_typein, apply hx, apply mem_range_self
end
/-- The supremum of a family of ordinals indexed by the set
of ordinals less than some `o : ordinal.{u}`.
(This is not a special case of `sup` over the subtype,
because `{a // a < o} : Type (u+1)` and `sup` only works over
families in `Type u`.) -/
def bsup (o : ordinal.{u}) : (Π a < o, ordinal.{max u v}) → ordinal.{max u v} :=
match o, o.out, o.out_eq with
| _, ⟨α, r, _⟩, rfl, f := by exactI sup (λ a, f (typein r a) (typein_lt_type _ _))
end
theorem bsup_le {o f a} : bsup.{u v} o f ≤ a ↔ ∀ i h, f i h ≤ a :=
match o, o.out, o.out_eq, f :
∀ o w (e : ⟦w⟧ = o) (f : Π (a : ordinal.{u}), a < o → ordinal.{(max u v)}),
bsup._match_1 o w e f ≤ a ↔ ∀ i h, f i h ≤ a with
| _, ⟨α, r, _⟩, rfl, f := by rw [bsup._match_1, sup_le]; exactI
⟨λ H i h, by simpa only [typein_enum] using H (enum r i h), λ H b, H _ _⟩
end
theorem bsup_type (r : α → α → Prop) [is_well_order α r] (f) :
bsup (type r) f = sup (λ a, f (typein r a) (typein_lt_type _ _)) :=
eq_of_forall_ge_iff $ λ o,
by rw [bsup_le, sup_le]; exact
⟨λ H b, H _ _, λ H i h, by simpa only [typein_enum] using H (enum r i h)⟩
theorem le_bsup {o} (f : Π a < o, ordinal) (i h) : f i h ≤ bsup o f :=
bsup_le.1 (le_refl _) _ _
theorem lt_bsup {o : ordinal} {f : Π a < o, ordinal}
(hf : ∀{a a'} (ha : a < o) (ha' : a' < o), a < a' → f a ha < f a' ha')
(ho : o.is_limit) (i h) : f i h < bsup o f :=
lt_of_lt_of_le (hf _ _ $ lt_succ_self i) (le_bsup f i.succ $ ho.2 _ h)
theorem bsup_id {o} (ho : is_limit o) : bsup.{u u} o (λ x _, x) = o :=
begin
apply le_antisymm, rw [bsup_le], intro i, apply le_of_lt,
rw [←not_lt], intro h, apply lt_irrefl (bsup.{u u} o (λ x _, x)),
apply lt_of_le_of_lt _ (lt_bsup _ ho _ h), refl, intros, assumption
end
theorem is_normal.bsup {f} (H : is_normal f)
{o : ordinal} : ∀ (g : Π a < o, ordinal) (h : o ≠ 0),
f (bsup o g) = bsup o (λ a h, f (g a h)) :=
induction_on o $ λ α r _ g h,
by resetI; rw [bsup_type,
H.sup (type_ne_zero_iff_nonempty.1 h), bsup_type]
theorem is_normal.bsup_eq {f} (H : is_normal f) {o : ordinal} (h : is_limit o) :
bsup.{u} o (λx _, f x) = f o :=
by { rw [←is_normal.bsup.{u u} H (λ x _, x) h.1, bsup_id h] }
/-- The ordinal exponential, defined by transfinite recursion. -/
def power (a b : ordinal) : ordinal :=
if a = 0 then 1 - b else
limit_rec_on b 1 (λ _ IH, IH * a) (λ b _, bsup.{u u} b)
instance : has_pow ordinal ordinal := ⟨power⟩
local infixr ^ := @pow ordinal ordinal ordinal.has_pow
theorem zero_power' (a : ordinal) : 0 ^ a = 1 - a :=
by simp only [pow, power, if_pos rfl]
@[simp] theorem zero_power {a : ordinal} (a0 : a ≠ 0) : 0 ^ a = 0 :=
by rwa [zero_power', sub_eq_zero_iff_le, one_le_iff_ne_zero]
@[simp] theorem power_zero (a : ordinal) : a ^ 0 = 1 :=
by by_cases a = 0; [simp only [pow, power, if_pos h, sub_zero],
simp only [pow, power, if_neg h, limit_rec_on_zero]]
@[simp] theorem power_succ (a b : ordinal) : a ^ succ b = a ^ b * a :=
if h : a = 0 then by subst a; simp only [zero_power (succ_ne_zero _), mul_zero]
else by simp only [pow, power, limit_rec_on_succ, if_neg h]
theorem power_limit {a b : ordinal} (a0 : a ≠ 0) (h : is_limit b) :
a ^ b = bsup.{u u} b (λ c _, a ^ c) :=
by simp only [pow, power, if_neg a0]; rw limit_rec_on_limit _ _ _ _ h; refl
theorem power_le_of_limit {a b c : ordinal} (a0 : a ≠ 0) (h : is_limit b) :
a ^ b ≤ c ↔ ∀ b' < b, a ^ b' ≤ c :=
by rw [power_limit a0 h, bsup_le]
theorem lt_power_of_limit {a b c : ordinal} (b0 : b ≠ 0) (h : is_limit c) :
a < b ^ c ↔ ∃ c' < c, a < b ^ c' :=
by rw [← not_iff_not, not_exists]; simp only [not_lt, power_le_of_limit b0 h, exists_prop, not_and]
@[simp] theorem power_one (a : ordinal) : a ^ 1 = a :=
by rw [← succ_zero, power_succ]; simp only [power_zero, one_mul]
@[simp] theorem one_power (a : ordinal) : 1 ^ a = 1 :=
begin
apply limit_rec_on a,
{ simp only [power_zero] },
{ intros _ ih, simp only [power_succ, ih, mul_one] },
refine λ b l IH, eq_of_forall_ge_iff (λ c, _),
rw [power_le_of_limit one_ne_zero l],
exact ⟨λ H, by simpa only [power_zero] using H 0 l.pos,
λ H b' h, by rwa IH _ h⟩,
end
theorem power_pos {a : ordinal} (b)
(a0 : 0 < a) : 0 < a ^ b :=
begin
have h0 : 0 < a ^ 0, {simp only [power_zero, zero_lt_one]},
apply limit_rec_on b,
{ exact h0 },
{ intros b IH, rw [power_succ],
exact mul_pos IH a0 },
{ exact λ b l _, (lt_power_of_limit (pos_iff_ne_zero.1 a0) l).2
⟨0, l.pos, h0⟩ },
end
theorem power_ne_zero {a : ordinal} (b)
(a0 : a ≠ 0) : a ^ b ≠ 0 :=
pos_iff_ne_zero.1 $ power_pos b $ pos_iff_ne_zero.2 a0
theorem power_is_normal {a : ordinal} (h : 1 < a) : is_normal ((^) a) :=
have a0 : 0 < a, from lt_trans zero_lt_one h,
⟨λ b, by simpa only [mul_one, power_succ] using
(mul_lt_mul_iff_left (power_pos b a0)).2 h,
λ b l c, power_le_of_limit (ne_of_gt a0) l⟩
theorem power_lt_power_iff_right {a b c : ordinal}
(a1 : 1 < a) : a ^ b < a ^ c ↔ b < c :=
(power_is_normal a1).lt_iff
theorem power_le_power_iff_right {a b c : ordinal}
(a1 : 1 < a) : a ^ b ≤ a ^ c ↔ b ≤ c :=
(power_is_normal a1).le_iff
theorem power_right_inj {a b c : ordinal}
(a1 : 1 < a) : a ^ b = a ^ c ↔ b = c :=
(power_is_normal a1).inj
theorem power_is_limit {a b : ordinal}
(a1 : 1 < a) : is_limit b → is_limit (a ^ b) :=
(power_is_normal a1).is_limit
theorem power_is_limit_left {a b : ordinal}
(l : is_limit a) (hb : b ≠ 0) : is_limit (a ^ b) :=
begin
rcases zero_or_succ_or_limit b with e|⟨b,rfl⟩|l',
{ exact absurd e hb },
{ rw power_succ,
exact mul_is_limit (power_pos _ l.pos) l },
{ exact power_is_limit l.one_lt l' }
end
theorem power_le_power_right {a b c : ordinal}
(h₁ : 0 < a) (h₂ : b ≤ c) : a ^ b ≤ a ^ c :=
begin
cases lt_or_eq_of_le (one_le_iff_pos.2 h₁) with h₁ h₁,
{ exact (power_le_power_iff_right h₁).2 h₂ },
{ subst a, simp only [one_power] }
end
theorem power_le_power_left {a b : ordinal} (c)
(ab : a ≤ b) : a ^ c ≤ b ^ c :=
begin
by_cases a0 : a = 0,
{ subst a, by_cases c0 : c = 0,
{ subst c, simp only [power_zero] },
{ simp only [zero_power c0, zero_le] } },
{ apply limit_rec_on c,
{ simp only [power_zero] },
{ intros c IH, simpa only [power_succ] using mul_le_mul IH ab },
{ exact λ c l IH, (power_le_of_limit a0 l).2
(λ b' h, le_trans (IH _ h) (power_le_power_right
(lt_of_lt_of_le (pos_iff_ne_zero.2 a0) ab) (le_of_lt h))) } }
end
theorem le_power_self {a : ordinal} (b) (a1 : 1 < a) : b ≤ a ^ b :=
(power_is_normal a1).le_self _
theorem power_lt_power_left_of_succ {a b c : ordinal}
(ab : a < b) : a ^ succ c < b ^ succ c :=
by rw [power_succ, power_succ]; exact
lt_of_le_of_lt
(mul_le_mul_right _ $ power_le_power_left _ $ le_of_lt ab)
(mul_lt_mul_of_pos_left ab (power_pos _ (lt_of_le_of_lt (zero_le _) ab)))
theorem power_add (a b c : ordinal) : a ^ (b + c) = a ^ b * a ^ c :=
begin
by_cases a0 : a = 0,
{ subst a,
by_cases c0 : c = 0, {simp only [c0, add_zero, power_zero, mul_one]},
have : b+c ≠ 0 := ne_of_gt (lt_of_lt_of_le
(pos_iff_ne_zero.2 c0) (le_add_left _ _)),
simp only [zero_power c0, zero_power this, mul_zero] },
cases eq_or_lt_of_le (one_le_iff_ne_zero.2 a0) with a1 a1,
{ subst a1, simp only [one_power, mul_one] },
apply limit_rec_on c,
{ simp only [add_zero, power_zero, mul_one] },
{ intros c IH,
rw [add_succ, power_succ, IH, power_succ, mul_assoc] },
{ intros c l IH,
refine eq_of_forall_ge_iff (λ d, (((power_is_normal a1).trans
(add_is_normal b)).limit_le l).trans _),
simp only [IH] {contextual := tt},
exact (((mul_is_normal $ power_pos b (pos_iff_ne_zero.2 a0)).trans
(power_is_normal a1)).limit_le l).symm }
end
theorem power_dvd_power (a) {b c : ordinal}
(h : b ≤ c) : a ^ b ∣ a ^ c :=
by rw [← add_sub_cancel_of_le h, power_add]; apply dvd_mul
theorem power_dvd_power_iff {a b c : ordinal}
(a1 : 1 < a) : a ^ b ∣ a ^ c ↔ b ≤ c :=
⟨λ h, le_of_not_lt $ λ hn,
not_le_of_lt ((power_lt_power_iff_right a1).2 hn) $
le_of_dvd (power_ne_zero _ $ one_le_iff_ne_zero.1 $ le_of_lt a1) h,
power_dvd_power _⟩
theorem power_mul (a b c : ordinal) : a ^ (b * c) = (a ^ b) ^ c :=
begin
by_cases b0 : b = 0, {simp only [b0, zero_mul, power_zero, one_power]},
by_cases a0 : a = 0,
{ subst a,
by_cases c0 : c = 0, {simp only [c0, mul_zero, power_zero]},
simp only [zero_power b0, zero_power c0, zero_power (mul_ne_zero b0 c0)] },
cases eq_or_lt_of_le (one_le_iff_ne_zero.2 a0) with a1 a1,
{ subst a1, simp only [one_power] },
apply limit_rec_on c,
{ simp only [mul_zero, power_zero] },
{ intros c IH,
rw [mul_succ, power_add, IH, power_succ] },
{ intros c l IH,
refine eq_of_forall_ge_iff (λ d, (((power_is_normal a1).trans
(mul_is_normal (pos_iff_ne_zero.2 b0))).limit_le l).trans _),
simp only [IH] {contextual := tt},
exact (power_le_of_limit (power_ne_zero _ a0) l).symm }
end
/-- The ordinal logarithm is the solution `u` to the equation
`x = b ^ u * v + w` where `v < b` and `w < b`. -/
def log (b : ordinal) (x : ordinal) : ordinal :=
if h : 1 < b then pred $
omin {o | x < b^o} ⟨succ x, succ_le.1 (le_power_self _ h)⟩
else 0
@[simp] theorem log_not_one_lt {b : ordinal} (b1 : ¬ 1 < b) (x : ordinal) : log b x = 0 :=
by simp only [log, dif_neg b1]
theorem log_def {b : ordinal} (b1 : 1 < b) (x : ordinal) : log b x =
pred (omin {o | x < b^o} (log._proof_1 b x b1)) :=
by simp only [log, dif_pos b1]
@[simp] theorem log_zero (b : ordinal) : log b 0 = 0 :=
if b1 : 1 < b then
by rw [log_def b1, ← le_zero, pred_le];
apply omin_le; change 0<b^succ 0;
rw [succ_zero, power_one];
exact lt_trans zero_lt_one b1
else by simp only [log_not_one_lt b1]
theorem succ_log_def {b x : ordinal} (b1 : 1 < b) (x0 : 0 < x) : succ (log b x) =
omin {o | x < b^o} (log._proof_1 b x b1) :=
begin
let t := omin {o | x < b^o} (log._proof_1 b x b1),
have : x < b ^ t := omin_mem {o | x < b^o} _,
rcases zero_or_succ_or_limit t with h|h|h,
{ refine (not_lt_of_le (one_le_iff_pos.2 x0) _).elim,
simpa only [h, power_zero] },
{ rw [show log b x = pred t, from log_def b1 x,
succ_pred_iff_is_succ.2 h] },
{ rcases (lt_power_of_limit (ne_of_gt $ lt_trans zero_lt_one b1) h).1 this with ⟨a, h₁, h₂⟩,
exact (not_le_of_lt h₁).elim (le_omin.1 (le_refl t) a h₂) }
end
theorem lt_power_succ_log {b : ordinal} (b1 : 1 < b) (x : ordinal) :
x < b ^ succ (log b x) :=
begin
cases lt_or_eq_of_le (zero_le x) with x0 x0,
{ rw [succ_log_def b1 x0], exact omin_mem {o | x < b^o} _ },
{ subst x, apply power_pos _ (lt_trans zero_lt_one b1) }
end
theorem power_log_le (b) {x : ordinal} (x0 : 0 < x) :
b ^ log b x ≤ x :=
begin
by_cases b0 : b = 0,
{ rw [b0, zero_power'],
refine le_trans (sub_le_self _ _) (one_le_iff_pos.2 x0) },
cases lt_or_eq_of_le (one_le_iff_ne_zero.2 b0) with b1 b1,
{ refine le_of_not_lt (λ h, not_le_of_lt (lt_succ_self (log b x)) _),
have := @omin_le {o | x < b^o} _ _ h,
rwa ← succ_log_def b1 x0 at this },
{ rw [← b1, one_power], exact one_le_iff_pos.2 x0 }
end
theorem le_log {b x c : ordinal} (b1 : 1 < b) (x0 : 0 < x) :
c ≤ log b x ↔ b ^ c ≤ x :=
⟨λ h, le_trans ((power_le_power_iff_right b1).2 h) (power_log_le b x0),
λ h, le_of_not_lt $ λ hn,
not_le_of_lt (lt_power_succ_log b1 x) $
le_trans ((power_le_power_iff_right b1).2 (succ_le.2 hn)) h⟩
theorem log_lt {b x c : ordinal} (b1 : 1 < b) (x0 : 0 < x) :
log b x < c ↔ x < b ^ c :=
lt_iff_lt_of_le_iff_le (le_log b1 x0)
theorem log_le_log (b) {x y : ordinal} (xy : x ≤ y) :
log b x ≤ log b y :=
if x0 : x = 0 then by simp only [x0, log_zero, zero_le] else
have x0 : 0 < x, from pos_iff_ne_zero.2 x0,
if b1 : 1 < b then
(le_log b1 (lt_of_lt_of_le x0 xy)).2 $ le_trans (power_log_le _ x0) xy
else by simp only [log_not_one_lt b1, zero_le]
theorem log_le_self (b x : ordinal) : log b x ≤ x :=
if x0 : x = 0 then by simp only [x0, log_zero, zero_le] else
if b1 : 1 < b then
le_trans (le_power_self _ b1) (power_log_le b (pos_iff_ne_zero.2 x0))
else by simp only [log_not_one_lt b1, zero_le]
@[simp] theorem nat_cast_mul {m n : ℕ} : ((m * n : ℕ) : ordinal) = m * n :=
by induction n with n IH; [simp only [nat.cast_zero, nat.mul_zero, mul_zero],
rw [nat.mul_succ, nat.cast_add, IH, nat.cast_succ, mul_add_one]]
@[simp] theorem nat_cast_power {m n : ℕ} : ((pow m n : ℕ) : ordinal) = m ^ n :=
by induction n with n IH; [simp only [nat.pow_zero, nat.cast_zero, power_zero, nat.cast_one],
rw [nat.pow_succ, nat_cast_mul, IH, nat.cast_succ, ← succ_eq_add_one, power_succ]]
@[simp] theorem nat_cast_le {m n : ℕ} : (m : ordinal) ≤ n ↔ m ≤ n :=
by rw [← cardinal.ord_nat, ← cardinal.ord_nat,
cardinal.ord_le_ord, cardinal.nat_cast_le]
@[simp] theorem nat_cast_lt {m n : ℕ} : (m : ordinal) < n ↔ m < n :=
by simp only [lt_iff_le_not_le, nat_cast_le]
@[simp] theorem nat_cast_inj {m n : ℕ} : (m : ordinal) = n ↔ m = n :=
by simp only [le_antisymm_iff, nat_cast_le]
@[simp] theorem nat_cast_eq_zero {n : ℕ} : (n : ordinal) = 0 ↔ n = 0 :=
@nat_cast_inj n 0
theorem nat_cast_ne_zero {n : ℕ} : (n : ordinal) ≠ 0 ↔ n ≠ 0 :=
not_congr nat_cast_eq_zero
@[simp] theorem nat_cast_pos {n : ℕ} : (0 : ordinal) < n ↔ 0 < n :=
@nat_cast_lt 0 n
@[simp] theorem nat_cast_sub {m n : ℕ} : ((m - n : ℕ) : ordinal) = m - n :=
(_root_.le_total m n).elim
(λ h, by rw [nat.sub_eq_zero_iff_le.2 h, sub_eq_zero_iff_le.2 (nat_cast_le.2 h)]; refl)
(λ h, (add_left_cancel n).1 $ by rw [← nat.cast_add,
nat.add_sub_cancel' h, add_sub_cancel_of_le (nat_cast_le.2 h)])
@[simp] theorem nat_cast_div {m n : ℕ} : ((m / n : ℕ) : ordinal) = m / n :=
if n0 : n = 0 then by simp only [n0, nat.div_zero, nat.cast_zero, div_zero] else
have n0':_, from nat_cast_ne_zero.2 n0,
le_antisymm
(by rw [le_div n0', ← nat_cast_mul, nat_cast_le, mul_comm];
apply nat.div_mul_le_self)
(by rw [div_le n0', succ, ← nat.cast_succ, ← nat_cast_mul,
nat_cast_lt, mul_comm, ← nat.div_lt_iff_lt_mul _ _ (nat.pos_of_ne_zero n0)];
apply nat.lt_succ_self)
@[simp] theorem nat_cast_mod {m n : ℕ} : ((m % n : ℕ) : ordinal) = m % n :=
by rw [← add_left_cancel (n*(m/n)), div_add_mod, ← nat_cast_div, ← nat_cast_mul, ← nat.cast_add,
add_comm, nat.mod_add_div]
@[simp] theorem nat_le_card {o} {n : ℕ} : (n : cardinal) ≤ card o ↔ (n : ordinal) ≤ o :=
⟨λ h, by rwa [← cardinal.ord_le, cardinal.ord_nat] at h,
λ h, card_nat n ▸ card_le_card h⟩
@[simp] theorem nat_lt_card {o} {n : ℕ} : (n : cardinal) < card o ↔ (n : ordinal) < o :=
by rw [← succ_le, ← cardinal.succ_le, ← cardinal.nat_succ, nat_le_card]; refl
@[simp] theorem card_lt_nat {o} {n : ℕ} : card o < n ↔ o < n :=
lt_iff_lt_of_le_iff_le nat_le_card
@[simp] theorem card_le_nat {o} {n : ℕ} : card o ≤ n ↔ o ≤ n :=
le_iff_le_iff_lt_iff_lt.2 nat_lt_card
@[simp] theorem card_eq_nat {o} {n : ℕ} : card o = n ↔ o = n :=
by simp only [le_antisymm_iff, card_le_nat, nat_le_card]
@[simp] theorem type_fin (n : ℕ) : @type (fin n) (<) _ = n :=
by rw [← card_eq_nat, card_type, mk_fin]
@[simp] theorem lift_nat_cast (n : ℕ) : lift n = n :=
by induction n with n ih; [simp only [nat.cast_zero, lift_zero],
simp only [nat.cast_succ, lift_add, ih, lift_one]]
theorem lift_type_fin (n : ℕ) : lift (@type (fin n) (<) _) = n :=
by simp only [type_fin, lift_nat_cast]
theorem fintype_card (r : α → α → Prop) [is_well_order α r] [fintype α] : type r = fintype.card α :=
by rw [← card_eq_nat, card_type, fintype_card]
end ordinal
namespace cardinal
open ordinal
@[simp] theorem ord_omega : ord.{u} omega = ordinal.omega :=
le_antisymm (ord_le.2 $ le_refl _) $
le_of_forall_lt $ λ o h, begin
rcases ordinal.lt_lift_iff.1 h with ⟨o, rfl, h'⟩,
rw [lt_ord, ← lift_card, ← lift_omega.{0 u},
lift_lt, ← typein_enum (<) h'],
exact lt_omega_iff_fintype.2 ⟨set.fintype_lt_nat _⟩
end
@[simp] theorem add_one_of_omega_le {c} (h : omega ≤ c) : c + 1 = c :=
by rw [add_comm, ← card_ord c, ← card_one,
← card_add, one_add_of_omega_le];
rwa [← ord_omega, ord_le_ord]
end cardinal
namespace ordinal
theorem lt_omega {o : ordinal.{u}} : o < omega ↔ ∃ n : ℕ, o = n :=
by rw [← cardinal.ord_omega, cardinal.lt_ord, lt_omega]; simp only [card_eq_nat]
theorem nat_lt_omega (n : ℕ) : (n : ordinal) < omega :=
lt_omega.2 ⟨_, rfl⟩
theorem omega_pos : 0 < omega := nat_lt_omega 0
theorem omega_ne_zero : omega ≠ 0 := ne_of_gt omega_pos
theorem one_lt_omega : 1 < omega := by simpa only [nat.cast_one] using nat_lt_omega 1
theorem omega_is_limit : is_limit omega :=
⟨omega_ne_zero, λ o h,
let ⟨n, e⟩ := lt_omega.1 h in
by rw [e]; exact nat_lt_omega (n+1)⟩
theorem omega_le {o : ordinal.{u}} : omega ≤ o ↔ ∀ n : ℕ, (n : ordinal) ≤ o :=
⟨λ h n, le_trans (le_of_lt (nat_lt_omega _)) h,
λ H, le_of_forall_lt $ λ a h,
let ⟨n, e⟩ := lt_omega.1 h in
by rw [e, ← succ_le]; exact H (n+1)⟩
theorem nat_lt_limit {o} (h : is_limit o) : ∀ n : ℕ, (n : ordinal) < o
| 0 := lt_of_le_of_ne (zero_le o) h.1.symm
| (n+1) := h.2 _ (nat_lt_limit n)
theorem omega_le_of_is_limit {o} (h : is_limit o) : omega ≤ o :=
omega_le.2 $ λ n, le_of_lt $ nat_lt_limit h n
theorem add_omega {a : ordinal} (h : a < omega) : a + omega = omega :=
begin
rcases lt_omega.1 h with ⟨n, rfl⟩,
clear h, induction n with n IH,
{ rw [nat.cast_zero, zero_add] },
{ rw [nat.cast_succ, add_assoc, one_add_of_omega_le (le_refl _), IH] }
end
theorem add_lt_omega {a b : ordinal} (ha : a < omega) (hb : b < omega) : a + b < omega :=
match a, b, lt_omega.1 ha, lt_omega.1 hb with
| _, _, ⟨m, rfl⟩, ⟨n, rfl⟩ := by rw [← nat.cast_add]; apply nat_lt_omega
end
theorem mul_lt_omega {a b : ordinal} (ha : a < omega) (hb : b < omega) : a * b < omega :=
match a, b, lt_omega.1 ha, lt_omega.1 hb with
| _, _, ⟨m, rfl⟩, ⟨n, rfl⟩ := by rw [← nat_cast_mul]; apply nat_lt_omega
end
theorem is_limit_iff_omega_dvd {a : ordinal} : is_limit a ↔ a ≠ 0 ∧ omega ∣ a :=
begin
refine ⟨λ l, ⟨l.1, ⟨a / omega, le_antisymm _ (mul_div_le _ _)⟩⟩, λ h, _⟩,
{ refine (limit_le l).2 (λ x hx, le_of_lt _),
rw [← div_lt omega_ne_zero, ← succ_le, le_div omega_ne_zero,
mul_succ, add_le_of_limit omega_is_limit],
intros b hb,
rcases lt_omega.1 hb with ⟨n, rfl⟩,
exact le_trans (add_le_add_right (mul_div_le _ _) _)
(le_of_lt $ lt_sub.1 $ nat_lt_limit (sub_is_limit l hx) _) },
{ rcases h with ⟨a0, b, rfl⟩,
refine mul_is_limit_left omega_is_limit
(pos_iff_ne_zero.2 $ mt _ a0),
intro e, simp only [e, mul_zero] }
end
local infixr ^ := @pow ordinal ordinal ordinal.has_pow
theorem power_lt_omega {a b : ordinal} (ha : a < omega) (hb : b < omega) : a ^ b < omega :=
match a, b, lt_omega.1 ha, lt_omega.1 hb with
| _, _, ⟨m, rfl⟩, ⟨n, rfl⟩ := by rw [← nat_cast_power]; apply nat_lt_omega
end
theorem add_omega_power {a b : ordinal} (h : a < omega ^ b) : a + omega ^ b = omega ^ b :=
begin
refine le_antisymm _ (le_add_left _ _),
revert h, apply limit_rec_on b,
{ intro h, rw [power_zero, ← succ_zero, lt_succ, le_zero] at h,
rw [h, zero_add] },
{ intros b _ h, rw [power_succ] at h,
rcases (lt_mul_of_limit omega_is_limit).1 h with ⟨x, xo, ax⟩,
refine le_trans (add_le_add_right (le_of_lt ax) _) _,
rw [power_succ, ← mul_add, add_omega xo] },
{ intros b l IH h, rcases (lt_power_of_limit omega_ne_zero l).1 h with ⟨x, xb, ax⟩,
refine (((add_is_normal a).trans (power_is_normal one_lt_omega))
.limit_le l).2 (λ y yb, _),
let z := max x y,
have := IH z (max_lt xb yb)
(lt_of_lt_of_le ax $ power_le_power_right omega_pos (le_max_left _ _)),
exact le_trans (add_le_add_left (power_le_power_right omega_pos (le_max_right _ _)) _)
(le_trans this (power_le_power_right omega_pos $ le_of_lt $ max_lt xb yb)) }
end
theorem add_lt_omega_power {a b c : ordinal} (h₁ : a < omega ^ c) (h₂ : b < omega ^ c) :
a + b < omega ^ c :=
by rwa [← add_omega_power h₁, add_lt_add_iff_left]
theorem add_absorp {a b c : ordinal} (h₁ : a < omega ^ b) (h₂ : omega ^ b ≤ c) : a + c = c :=
by rw [← add_sub_cancel_of_le h₂, ← add_assoc, add_omega_power h₁]
theorem add_absorp_iff {o : ordinal} (o0 : o > 0) : (∀ a < o, a + o = o) ↔ ∃ a, o = omega ^ a :=
⟨λ H, ⟨log omega o, begin
refine ((lt_or_eq_of_le (power_log_le _ o0))
.resolve_left $ λ h, _).symm,
have := H _ h,
have := lt_power_succ_log one_lt_omega o,
rw [power_succ, lt_mul_of_limit omega_is_limit] at this,
rcases this with ⟨a, ao, h'⟩,
rcases lt_omega.1 ao with ⟨n, rfl⟩, clear ao,
revert h', apply not_lt_of_le,
suffices e : omega ^ log omega o * ↑n + o = o,
{ simpa only [e] using le_add_right (omega ^ log omega o * ↑n) o },
induction n with n IH, {simp only [nat.cast_zero, mul_zero, zero_add]},
simp only [nat.cast_succ, mul_add_one, add_assoc, this, IH]
end⟩,
λ ⟨b, e⟩, e.symm ▸ λ a, add_omega_power⟩
theorem add_mul_limit_aux {a b c : ordinal} (ba : b + a = a)
(l : is_limit c)
(IH : ∀ c' < c, (a + b) * succ c' = a * succ c' + b) :
(a + b) * c = a * c :=
le_antisymm
((mul_le_of_limit l).2 $ λ c' h, begin
apply le_trans (mul_le_mul_left _ (le_of_lt $ lt_succ_self _)),
rw IH _ h,
apply le_trans (add_le_add_left _ _),
{ rw ← mul_succ, exact mul_le_mul_left _ (succ_le.2 $ l.2 _ h) },
{ rw ← ba, exact le_add_right _ _ }
end)
(mul_le_mul_right _ (le_add_right _ _))
theorem add_mul_succ {a b : ordinal} (c) (ba : b + a = a) :
(a + b) * succ c = a * succ c + b :=
begin
apply limit_rec_on c,
{ simp only [succ_zero, mul_one] },
{ intros c IH,
rw [mul_succ, IH, ← add_assoc, add_assoc _ b, ba, ← mul_succ] },
{ intros c l IH,
have := add_mul_limit_aux ba l IH,
rw [mul_succ, add_mul_limit_aux ba l IH, mul_succ, add_assoc] }
end
theorem add_mul_limit {a b c : ordinal} (ba : b + a = a)
(l : is_limit c) : (a + b) * c = a * c :=
add_mul_limit_aux ba l (λ c' _, add_mul_succ c' ba)
theorem mul_omega {a : ordinal} (a0 : 0 < a) (ha : a < omega) : a * omega = omega :=
le_antisymm
((mul_le_of_limit omega_is_limit).2 $ λ b hb, le_of_lt (mul_lt_omega ha hb))
(by simpa only [one_mul] using mul_le_mul_right omega (one_le_iff_pos.2 a0))
theorem mul_lt_omega_power {a b c : ordinal}
(c0 : 0 < c) (ha : a < omega ^ c) (hb : b < omega) : a * b < omega ^ c :=
if b0 : b = 0 then by simp only [b0, mul_zero, power_pos _ omega_pos] else begin
rcases zero_or_succ_or_limit c with rfl|⟨c,rfl⟩|l,
{ exact (lt_irrefl _).elim c0 },
{ rw power_succ at ha,
rcases ((mul_is_normal $ power_pos _ omega_pos).limit_lt
omega_is_limit).1 ha with ⟨n, hn, an⟩,
refine lt_of_le_of_lt (mul_le_mul_right _ (le_of_lt an)) _,
rw [power_succ, mul_assoc, mul_lt_mul_iff_left (power_pos _ omega_pos)],
exact mul_lt_omega hn hb },
{ rcases ((power_is_normal one_lt_omega).limit_lt l).1 ha with ⟨x, hx, ax⟩,
refine lt_of_le_of_lt (mul_le_mul (le_of_lt ax) (le_of_lt hb)) _,
rw [← power_succ, power_lt_power_iff_right one_lt_omega],
exact l.2 _ hx }
end
theorem mul_omega_dvd {a : ordinal}
(a0 : 0 < a) (ha : a < omega) : ∀ {b}, omega ∣ b → a * b = b
| _ ⟨b, rfl⟩ := by rw [← mul_assoc, mul_omega a0 ha]
theorem mul_omega_power_power {a b : ordinal} (a0 : 0 < a) (h : a < omega ^ omega ^ b) :
a * omega ^ omega ^ b = omega ^ omega ^ b :=
begin
by_cases b0 : b = 0, {rw [b0, power_zero, power_one] at h ⊢, exact mul_omega a0 h},
refine le_antisymm _ (by simpa only [one_mul] using mul_le_mul_right (omega^omega^b) (one_le_iff_pos.2 a0)),
rcases (lt_power_of_limit omega_ne_zero (power_is_limit_left omega_is_limit b0)).1 h
with ⟨x, xb, ax⟩,
refine le_trans (mul_le_mul_right _ (le_of_lt ax)) _,
rw [← power_add, add_omega_power xb]
end
theorem power_omega {a : ordinal} (a1 : 1 < a) (h : a < omega) : a ^ omega = omega :=
le_antisymm
((power_le_of_limit (one_le_iff_ne_zero.1 $ le_of_lt a1) omega_is_limit).2
(λ b hb, le_of_lt (power_lt_omega h hb)))
(le_power_self _ a1)
theorem CNF_aux {b o : ordinal} (b0 : b ≠ 0) (o0 : o ≠ 0) :
o % b ^ log b o < o :=
lt_of_lt_of_le
(mod_lt _ $ power_ne_zero _ b0)
(power_log_le _ $ pos_iff_ne_zero.2 o0)
@[elab_as_eliminator] noncomputable def CNF_rec {b : ordinal} (b0 : b ≠ 0)
{C : ordinal → Sort*}
(H0 : C 0)
(H : ∀ o, o ≠ 0 → o % b ^ log b o < o → C (o % b ^ log b o) → C o)
: ∀ o, C o
| o :=
if o0 : o = 0 then by rw o0; exact H0 else
have _, from CNF_aux b0 o0,
H o o0 this (CNF_rec (o % b ^ log b o))
using_well_founded {dec_tac := `[assumption]}
@[simp] theorem CNF_rec_zero {b} (b0) {C H0 H} : @CNF_rec b b0 C H0 H 0 = H0 :=
by rw [CNF_rec, dif_pos rfl]; refl
@[simp] theorem CNF_rec_ne_zero {b} (b0) {C H0 H o} (o0) :
@CNF_rec b b0 C H0 H o = H o o0 (CNF_aux b0 o0) (@CNF_rec b b0 C H0 H _) :=
by rw [CNF_rec, dif_neg o0]
/-- The Cantor normal form of an ordinal is the list of coefficients
in the base-`b` expansion of `o`.
CNF b (b ^ u₁ * v₁ + b ^ u₂ * v₂) = [(u₁, v₁), (u₂, v₂)] -/
def CNF (b := omega) (o : ordinal) : list (ordinal × ordinal) :=
if b0 : b = 0 then [] else
CNF_rec b0 [] (λ o o0 h IH, (log b o, o / b ^ log b o) :: IH) o
@[simp] theorem zero_CNF (o) : CNF 0 o = [] :=
dif_pos rfl
@[simp] theorem CNF_zero (b) : CNF b 0 = [] :=
if b0 : b = 0 then dif_pos b0 else
(dif_neg b0).trans $ CNF_rec_zero _
theorem CNF_ne_zero {b o : ordinal} (b0 : b ≠ 0) (o0 : o ≠ 0) :
CNF b o = (log b o, o / b ^ log b o) :: CNF b (o % b ^ log b o) :=
by unfold CNF; rw [dif_neg b0, dif_neg b0, CNF_rec_ne_zero b0 o0]
theorem one_CNF {o : ordinal} (o0 : o ≠ 0) :
CNF 1 o = [(0, o)] :=
by rw [CNF_ne_zero one_ne_zero o0, log_not_one_lt (lt_irrefl _), power_zero, mod_one, CNF_zero, div_one]
theorem CNF_foldr {b : ordinal} (b0 : b ≠ 0) (o) :
(CNF b o).foldr (λ p r, b ^ p.1 * p.2 + r) 0 = o :=
CNF_rec b0 (by rw CNF_zero; refl)
(λ o o0 h IH, by rw [CNF_ne_zero b0 o0, list.foldr_cons, IH, div_add_mod]) o
theorem CNF_pairwise_aux (b := omega) (o) :
(∀ p ∈ CNF b o, prod.fst p ≤ log b o) ∧
(CNF b o).pairwise (λ p q, q.1 < p.1) :=
begin
by_cases b0 : b = 0,
{ simp only [b0, zero_CNF, list.pairwise.nil, and_true], exact λ _, false.elim },
cases lt_or_eq_of_le (one_le_iff_ne_zero.2 b0) with b1 b1,
{ refine CNF_rec b0 _ _ o,
{ simp only [CNF_zero, list.pairwise.nil, and_true], exact λ _, false.elim },
intros o o0 H IH, cases IH with IH₁ IH₂,
simp only [CNF_ne_zero b0 o0, list.forall_mem_cons, list.pairwise_cons, IH₂, and_true],
refine ⟨⟨le_refl _, λ p m, _⟩, λ p m, _⟩,
{ exact le_trans (IH₁ p m) (log_le_log _ $ le_of_lt H) },
{ refine lt_of_le_of_lt (IH₁ p m) ((log_lt b1 _).2 _),
{ rw pos_iff_ne_zero, intro e,
rw e at m, simpa only [CNF_zero] using m },
{ exact mod_lt _ (power_ne_zero _ b0) } } },
{ by_cases o0 : o = 0,
{ simp only [o0, CNF_zero, list.pairwise.nil, and_true], exact λ _, false.elim },
rw [← b1, one_CNF o0],
simp only [list.mem_singleton, log_not_one_lt (lt_irrefl _), forall_eq, le_refl, true_and, list.pairwise_singleton] }
end
theorem CNF_pairwise (b := omega) (o) :
(CNF b o).pairwise (λ p q, prod.fst q < p.1) :=
(CNF_pairwise_aux _ _).2
theorem CNF_fst_le_log (b := omega) (o) :
∀ p ∈ CNF b o, prod.fst p ≤ log b o :=
(CNF_pairwise_aux _ _).1
theorem CNF_fst_le (b := omega) (o) (p ∈ CNF b o) : prod.fst p ≤ o :=
le_trans (CNF_fst_le_log _ _ p H) (log_le_self _ _)
theorem CNF_snd_lt {b : ordinal} (b1 : 1 < b) (o) :
∀ p ∈ CNF b o, prod.snd p < b :=
begin
have b0 := ne_of_gt (lt_trans zero_lt_one b1),
refine CNF_rec b0 (λ _, by rw [CNF_zero]; exact false.elim) _ o,
intros o o0 H IH,
simp only [CNF_ne_zero b0 o0, list.mem_cons_iff, list.forall_mem_cons', iff_true_intro IH, and_true],
rw [div_lt (power_ne_zero _ b0), ← power_succ],
exact lt_power_succ_log b1 _,
end
theorem CNF_sorted (b := omega) (o) :
((CNF b o).map prod.fst).sorted (>) :=
by rw [list.sorted, list.pairwise_map]; exact CNF_pairwise b o
/-- The next fixed point function, the least fixed point of the
normal function `f` above `a`. -/
def nfp (f : ordinal → ordinal) (a : ordinal) :=
sup (λ n : ℕ, f^[n] a)
theorem iterate_le_nfp (f a n) : f^[n] a ≤ nfp f a :=
le_sup _ n
theorem le_nfp_self (f a) : a ≤ nfp f a :=
iterate_le_nfp f a 0
theorem is_normal.lt_nfp {f} (H : is_normal f) {a b} :
f b < nfp f a ↔ b < nfp f a :=
lt_sup.trans $ iff.trans
(by exact
⟨λ ⟨n, h⟩, ⟨n, lt_of_le_of_lt (H.le_self _) h⟩,
λ ⟨n, h⟩, ⟨n+1, by rw iterate_succ'; exact H.lt_iff.2 h⟩⟩)
lt_sup.symm
theorem is_normal.nfp_le {f} (H : is_normal f) {a b} :
nfp f a ≤ f b ↔ nfp f a ≤ b :=
le_iff_le_iff_lt_iff_lt.2 H.lt_nfp
theorem is_normal.nfp_le_fp {f} (H : is_normal f) {a b}
(ab : a ≤ b) (h : f b ≤ b) : nfp f a ≤ b :=
sup_le.2 $ λ i, begin
induction i with i IH generalizing a, {exact ab},
exact IH (le_trans (H.le_iff.2 ab) h),
end
theorem is_normal.nfp_fp {f} (H : is_normal f) (a) : f (nfp f a) = nfp f a :=
begin
refine le_antisymm _ (H.le_self _),
cases le_or_lt (f a) a with aa aa,
{ rwa le_antisymm (H.nfp_le_fp (le_refl _) aa) (le_nfp_self _ _) },
rcases zero_or_succ_or_limit (nfp f a) with e|⟨b, e⟩|l,
{ refine @le_trans _ _ _ (f a) _ (H.le_iff.2 _) (iterate_le_nfp f a 1),
simp only [e, zero_le] },
{ have : f b < nfp f a := H.lt_nfp.2 (by simp only [e, lt_succ_self]),
rw [e, lt_succ] at this,
have ab : a ≤ b,
{ rw [← lt_succ, ← e],
exact lt_of_lt_of_le aa (iterate_le_nfp f a 1) },
refine le_trans (H.le_iff.2 (H.nfp_le_fp ab this))
(le_trans this (le_of_lt _)),
simp only [e, lt_succ_self] },
{ exact (H.2 _ l _).2 (λ b h, le_of_lt (H.lt_nfp.2 h)) }
end
theorem is_normal.le_nfp {f} (H : is_normal f) {a b} :
f b ≤ nfp f a ↔ b ≤ nfp f a :=
⟨le_trans (H.le_self _), λ h,
by simpa only [H.nfp_fp] using H.le_iff.2 h⟩
theorem nfp_eq_self {f : ordinal → ordinal} {a} (h : f a = a) : nfp f a = a :=
le_antisymm (sup_le.mpr $ λ i, by rw [iterate_fixed h]) (le_nfp_self f a)
/-- The derivative of a normal function `f` is
the sequence of fixed points of `f`. -/
def deriv (f : ordinal → ordinal) (o : ordinal) : ordinal :=
limit_rec_on o (nfp f 0)
(λ a IH, nfp f (succ IH))
(λ a l, bsup.{u u} a)
@[simp] theorem deriv_zero (f) : deriv f 0 = nfp f 0 := limit_rec_on_zero _ _ _
@[simp] theorem deriv_succ (f o) : deriv f (succ o) = nfp f (succ (deriv f o)) :=
limit_rec_on_succ _ _ _ _
theorem deriv_limit (f) {o} : is_limit o →
deriv f o = bsup.{u u} o (λ a _, deriv f a) :=
limit_rec_on_limit _ _ _ _
theorem deriv_is_normal (f) : is_normal (deriv f) :=
⟨λ o, by rw [deriv_succ, ← succ_le]; apply le_nfp_self,
λ o l a, by rw [deriv_limit _ l, bsup_le]⟩
theorem is_normal.deriv_fp {f} (H : is_normal f) (o) : f (deriv.{u} f o) = deriv f o :=
begin
apply limit_rec_on o,
{ rw [deriv_zero, H.nfp_fp] },
{ intros o ih, rw [deriv_succ, H.nfp_fp] },
intros o l IH,
rw [deriv_limit _ l, is_normal.bsup.{u u u} H _ l.1],
refine eq_of_forall_ge_iff (λ c, _),
simp only [bsup_le, IH] {contextual:=tt}
end
theorem is_normal.fp_iff_deriv {f} (H : is_normal f)
{a} : f a ≤ a ↔ ∃ o, a = deriv f o :=
⟨λ ha, begin
suffices : ∀ o (_:a ≤ deriv f o), ∃ o, a = deriv f o,
from this a ((deriv_is_normal _).le_self _),
intro o, apply limit_rec_on o,
{ intros h₁,
refine ⟨0, le_antisymm h₁ _⟩,
rw deriv_zero,
exact H.nfp_le_fp (zero_le _) ha },
{ intros o IH h₁,
cases le_or_lt a (deriv f o), {exact IH h},
refine ⟨succ o, le_antisymm h₁ _⟩,
rw deriv_succ,
exact H.nfp_le_fp (succ_le.2 h) ha },
{ intros o l IH h₁,
cases eq_or_lt_of_le h₁, {exact ⟨_, h⟩},
rw [deriv_limit _ l, ← not_le, bsup_le, not_ball] at h,
exact let ⟨o', h, hl⟩ := h in IH o' h (le_of_not_le hl) }
end, λ ⟨o, e⟩, e.symm ▸ le_of_eq (H.deriv_fp _)⟩
end ordinal
namespace cardinal
section using_ordinals
open ordinal
theorem ord_is_limit {c} (co : omega ≤ c) : (ord c).is_limit :=
begin
refine ⟨λ h, omega_ne_zero _, λ a, lt_imp_lt_of_le_imp_le _⟩,
{ rw [← ordinal.le_zero, ord_le] at h,
simpa only [card_zero, le_zero] using le_trans co h },
{ intro h, rw [ord_le] at h ⊢,
rwa [← @add_one_of_omega_le (card a), ← card_succ],
rw [← ord_le, ← le_succ_of_is_limit, ord_le],
{ exact le_trans co h },
{ rw ord_omega, exact omega_is_limit } }
end
def aleph_idx.initial_seg : @initial_seg cardinal ordinal (<) (<) :=
@order_embedding.collapse cardinal ordinal (<) (<) _ cardinal.ord.order_embedding
/-- The `aleph'` index function, which gives the ordinal index of a cardinal.
(The `aleph'` part is because unlike `aleph` this counts also the
finite stages. So `aleph_idx n = n`, `aleph_idx ω = ω`,
`aleph_idx ℵ₁ = ω + 1` and so on.) -/
def aleph_idx : cardinal → ordinal := aleph_idx.initial_seg
@[simp] theorem aleph_idx.initial_seg_coe :
(aleph_idx.initial_seg : cardinal → ordinal) = aleph_idx := rfl
@[simp] theorem aleph_idx_lt {a b} : aleph_idx a < aleph_idx b ↔ a < b :=
aleph_idx.initial_seg.to_order_embedding.ord.symm
@[simp] theorem aleph_idx_le {a b} : aleph_idx a ≤ aleph_idx b ↔ a ≤ b :=
by rw [← not_lt, ← not_lt, aleph_idx_lt]
theorem aleph_idx.init {a b} : b < aleph_idx a → ∃ c, aleph_idx c = b :=
aleph_idx.initial_seg.init _ _
def aleph_idx.order_iso : @order_iso cardinal.{u} ordinal.{u} (<) (<) :=
@order_iso.of_surjective cardinal.{u} ordinal.{u} (<) (<) aleph_idx.initial_seg.{u} $
(initial_seg.eq_or_principal aleph_idx.initial_seg.{u}).resolve_right $
λ ⟨o, e⟩, begin
have : ∀ c, aleph_idx c < o := λ c, (e _).2 ⟨_, rfl⟩,
refine ordinal.induction_on o _ this, introsI α r _ h,
let s := sup.{u u} (λ a:α, inv_fun aleph_idx (ordinal.typein r a)),
apply not_le_of_gt (lt_succ_self s),
have I : injective aleph_idx := aleph_idx.initial_seg.to_embedding.inj,
simpa only [typein_enum, left_inverse_inv_fun I (succ s)] using
le_sup.{u u} (λ a, inv_fun aleph_idx (ordinal.typein r a))
(ordinal.enum r _ (h (succ s))),
end
@[simp] theorem aleph_idx.order_iso_coe :
(aleph_idx.order_iso : cardinal → ordinal) = aleph_idx := rfl
@[simp] theorem type_cardinal : @ordinal.type cardinal (<) _ = ordinal.univ.{u (u+1)} :=
by rw ordinal.univ_id; exact quotient.sound ⟨aleph_idx.order_iso⟩
@[simp] theorem mk_cardinal : mk cardinal = univ.{u (u+1)} :=
by simpa only [card_type, card_univ] using congr_arg card type_cardinal
def aleph'.order_iso := cardinal.aleph_idx.order_iso.symm
/-- The `aleph'` function gives the cardinals listed by their ordinal
index, and is the inverse of `aleph_idx`.
`aleph' n = n`, `aleph' ω = ω`, `aleph' (ω + 1) = ℵ₁, etc. -/
def aleph' : ordinal → cardinal := aleph'.order_iso
@[simp] theorem aleph'.order_iso_coe :
(aleph'.order_iso : ordinal → cardinal) = aleph' := rfl
@[simp] theorem aleph'_lt {o₁ o₂ : ordinal.{u}} : aleph' o₁ < aleph' o₂ ↔ o₁ < o₂ :=
aleph'.order_iso.ord.symm
@[simp] theorem aleph'_le {o₁ o₂ : ordinal.{u}} : aleph' o₁ ≤ aleph' o₂ ↔ o₁ ≤ o₂ :=
le_iff_le_iff_lt_iff_lt.2 aleph'_lt
@[simp] theorem aleph'_aleph_idx (c : cardinal.{u}) : aleph' c.aleph_idx = c :=
cardinal.aleph_idx.order_iso.to_equiv.symm_apply_apply c
@[simp] theorem aleph_idx_aleph' (o : ordinal.{u}) : (aleph' o).aleph_idx = o :=
cardinal.aleph_idx.order_iso.to_equiv.apply_symm_apply o
@[simp] theorem aleph'_zero : aleph' 0 = 0 :=
by rw [← le_zero, ← aleph'_aleph_idx 0, aleph'_le];
apply ordinal.zero_le
@[simp] theorem aleph'_succ {o : ordinal.{u}} : aleph' o.succ = (aleph' o).succ :=
le_antisymm
(cardinal.aleph_idx_le.1 $
by rw [aleph_idx_aleph', ordinal.succ_le, ← aleph'_lt, aleph'_aleph_idx];
apply cardinal.lt_succ_self)
(cardinal.succ_le.2 $ aleph'_lt.2 $ ordinal.lt_succ_self _)
@[simp] theorem aleph'_nat : ∀ n : ℕ, aleph' n = n
| 0 := aleph'_zero
| (n+1) := show aleph' (ordinal.succ n) = n.succ,
by rw [aleph'_succ, aleph'_nat, nat_succ]
theorem aleph'_le_of_limit {o : ordinal.{u}} (l : o.is_limit) {c} :
aleph' o ≤ c ↔ ∀ o' < o, aleph' o' ≤ c :=
⟨λ h o' h', le_trans (aleph'_le.2 $ le_of_lt h') h,
λ h, begin
rw [← aleph'_aleph_idx c, aleph'_le, ordinal.limit_le l],
intros x h',
rw [← aleph'_le, aleph'_aleph_idx],
exact h _ h'
end⟩
@[simp] theorem aleph'_omega : aleph' ordinal.omega = omega :=
eq_of_forall_ge_iff $ λ c, begin
simp only [aleph'_le_of_limit omega_is_limit, ordinal.lt_omega, exists_imp_distrib, omega_le],
exact forall_swap.trans (forall_congr $ λ n, by simp only [forall_eq, aleph'_nat]),
end
/-- aleph' and aleph_idx form an equivalence between `ordinal` and `cardinal` -/
@[simp] def aleph'_equiv : ordinal ≃ cardinal :=
⟨aleph', aleph_idx, aleph_idx_aleph', aleph'_aleph_idx⟩
/-- The `aleph` function gives the infinite cardinals listed by their
ordinal index. `aleph 0 = ω`, `aleph 1 = succ ω` is the first
uncountable cardinal, and so on. -/
def aleph (o : ordinal) : cardinal := aleph' (ordinal.omega + o)
@[simp] theorem aleph_lt {o₁ o₂ : ordinal.{u}} : aleph o₁ < aleph o₂ ↔ o₁ < o₂ :=
aleph'_lt.trans (ordinal.add_lt_add_iff_left _)
@[simp] theorem aleph_le {o₁ o₂ : ordinal.{u}} : aleph o₁ ≤ aleph o₂ ↔ o₁ ≤ o₂ :=
le_iff_le_iff_lt_iff_lt.2 aleph_lt
@[simp] theorem aleph_succ {o : ordinal.{u}} : aleph o.succ = (aleph o).succ :=
by rw [aleph, ordinal.add_succ, aleph'_succ]; refl
@[simp] theorem aleph_zero : aleph 0 = omega :=
by simp only [aleph, add_zero, aleph'_omega]
theorem omega_le_aleph' {o : ordinal} : omega ≤ aleph' o ↔ ordinal.omega ≤ o :=
by rw [← aleph'_omega, aleph'_le]
theorem omega_le_aleph (o : ordinal) : omega ≤ aleph o :=
by rw [aleph, omega_le_aleph']; apply ordinal.le_add_right
theorem ord_aleph_is_limit (o : ordinal) : is_limit (aleph o).ord :=
ord_is_limit $ omega_le_aleph _
theorem exists_aleph {c : cardinal} : omega ≤ c ↔ ∃ o, c = aleph o :=
⟨λ h, ⟨aleph_idx c - ordinal.omega,
by rw [aleph, ordinal.add_sub_cancel_of_le, aleph'_aleph_idx];
rwa [← omega_le_aleph', aleph'_aleph_idx]⟩,
λ ⟨o, e⟩, e.symm ▸ omega_le_aleph _⟩
theorem aleph'_is_normal : is_normal (ord ∘ aleph') :=
⟨λ o, ord_lt_ord.2 $ aleph'_lt.2 $ ordinal.lt_succ_self _,
λ o l a, by simp only [ord_le, aleph'_le_of_limit l]⟩
theorem aleph_is_normal : is_normal (ord ∘ aleph) :=
aleph'_is_normal.trans $ add_is_normal ordinal.omega
/- properties of mul -/
theorem mul_eq_self {c : cardinal} (h : omega ≤ c) : c * c = c :=
begin
refine le_antisymm _
(by simpa only [mul_one] using mul_le_mul_left c (le_trans (le_of_lt one_lt_omega) h)),
refine acc.rec_on (cardinal.wf.apply c) (λ c _,
quotient.induction_on c $ λ α IH ol, _) h,
rcases ord_eq α with ⟨r, wo, e⟩, resetI,
let := decidable_linear_order_of_STO' r,
have : is_well_order α (<) := wo,
let g : α × α → α := λ p, max p.1 p.2,
let f : α × α ↪ ordinal × (α × α) :=
⟨λ p:α×α, (typein (<) (g p), p), λ p q, congr_arg prod.snd⟩,
let s := f ⁻¹'o (prod.lex (<) (prod.lex (<) (<))),
have : is_well_order _ s := (order_embedding.preimage _ _).is_well_order,
suffices : type s ≤ type r, {exact card_le_card this},
refine le_of_forall_lt (λ o h, _),
rcases typein_surj s h with ⟨p, rfl⟩,
rw [← e, lt_ord],
refine lt_of_le_of_lt (_ : _ ≤ card (typein (<) (g p)).succ * card (typein (<) (g p)).succ) _,
{ have : {q|s q p} ⊆ (insert (g p) {x | x < (g p)}).prod (insert (g p) {x | x < (g p)}),
{ intros q h,
simp only [s, embedding.coe_fn_mk, order.preimage, typein_lt_typein, prod.lex_def, typein_inj] at h,
exact max_le_iff.1 (le_iff_lt_or_eq.2 $ h.imp_right and.left) },
suffices H : (insert (g p) {x | r x (g p)} : set α) ≃ ({x | r x (g p)} ⊕ punit),
{ exact ⟨(set.embedding_of_subset _ _ this).trans
((equiv.set.prod _ _).trans (H.prod_congr H)).to_embedding⟩ },
refine (equiv.set.insert _).trans
((equiv.refl _).sum_congr punit_equiv_punit),
apply @irrefl _ r },
cases lt_or_ge (card (typein (<) (g p)).succ) omega with qo qo,
{ exact lt_of_lt_of_le (mul_lt_omega qo qo) ol },
{ suffices, {exact lt_of_le_of_lt (IH _ this qo) this},
rw ← lt_ord, apply (ord_is_limit ol).2,
rw [mk_def, e], apply typein_lt_type }
end
end using_ordinals
theorem mul_eq_max {a b : cardinal} (ha : omega ≤ a) (hb : omega ≤ b) : a * b = max a b :=
le_antisymm
(mul_eq_self (le_trans ha (le_max_left a b)) ▸
mul_le_mul (le_max_left _ _) (le_max_right _ _)) $
max_le
(by simpa only [mul_one] using mul_le_mul_left a (le_trans (le_of_lt one_lt_omega) hb))
(by simpa only [one_mul] using mul_le_mul_right b (le_trans (le_of_lt one_lt_omega) ha))
theorem mul_lt_of_lt {a b c : cardinal} (hc : omega ≤ c)
(h1 : a < c) (h2 : b < c) : a * b < c :=
lt_of_le_of_lt (mul_le_mul (le_max_left a b) (le_max_right a b)) $
(lt_or_le (max a b) omega).elim
(λ h, lt_of_lt_of_le (mul_lt_omega h h) hc)
(λ h, by rw mul_eq_self h; exact max_lt h1 h2)
lemma mul_le_max_of_omega_le_left {a b : cardinal} (h : omega ≤ a) : a * b ≤ max a b :=
begin
convert mul_le_mul (le_max_left a b) (le_max_right a b), rw [mul_eq_self],
refine le_trans h (le_max_left a b)
end
lemma mul_eq_max_of_omega_le_left {a b : cardinal} (h : omega ≤ a) (h' : b ≠ 0) : a * b = max a b :=
begin
apply le_antisymm, apply mul_le_max_of_omega_le_left h,
cases le_or_gt omega b with hb hb, rw [mul_eq_max h hb],
have : b ≤ a, exact le_trans (le_of_lt hb) h,
rw [max_eq_left this], convert mul_le_mul_left _ (one_le_iff_ne_zero.mpr h'), rw [mul_one],
end
lemma mul_eq_left {a b : cardinal} (ha : omega ≤ a) (hb : b ≤ a) (hb' : b ≠ 0) : a * b = a :=
by { rw [mul_eq_max_of_omega_le_left ha hb', max_eq_left hb] }
lemma mul_eq_right {a b : cardinal} (hb : omega ≤ b) (ha : a ≤ b) (ha' : a ≠ 0) : a * b = b :=
by { rw [mul_comm, mul_eq_left hb ha ha'] }
lemma le_mul_left {a b : cardinal} (h : b ≠ 0) : a ≤ b * a :=
by { convert mul_le_mul_right _ (one_le_iff_ne_zero.mpr h), rw [one_mul] }
lemma le_mul_right {a b : cardinal} (h : b ≠ 0) : a ≤ a * b :=
by { rw [mul_comm], exact le_mul_left h }
lemma mul_eq_left_iff {a b : cardinal} : a * b = a ↔ ((max omega b ≤ a ∧ b ≠ 0) ∨ b = 1 ∨ a = 0) :=
begin
rw [max_le_iff], split,
{ intro h,
cases (le_or_lt omega a) with ha ha,
{ have : a ≠ 0, { rintro rfl, exact not_lt_of_le ha omega_pos },
left, use ha,
{ rw [← not_lt], intro hb, apply ne_of_gt _ h, refine lt_of_lt_of_le hb (le_mul_left this) },
{ rintro rfl, apply this, rw [_root_.mul_zero] at h, subst h }},
right, by_cases h2a : a = 0, { right, exact h2a },
have hb : b ≠ 0, { rintro rfl, apply h2a, rw [mul_zero] at h, subst h },
left, rw [← h, mul_lt_omega_iff, lt_omega, lt_omega] at ha,
rcases ha with rfl|rfl|⟨⟨n, rfl⟩, ⟨m, rfl⟩⟩, contradiction, contradiction,
rw [← ne] at h2a, rw [← one_le_iff_ne_zero] at h2a hb, norm_cast at h2a hb h ⊢,
apply le_antisymm _ hb, rw [← not_lt], intro h2b,
apply ne_of_gt _ h, rw [gt], conv_lhs { rw [← mul_one n] },
rwa [mul_lt_mul_left], apply nat.lt_of_succ_le h2a },
{ rintro (⟨⟨ha, hab⟩, hb⟩|rfl|rfl),
{ rw [mul_eq_max_of_omega_le_left ha hb, max_eq_left hab] },
all_goals {simp}}
end
/- properties of add -/
theorem add_eq_self {c : cardinal} (h : omega ≤ c) : c + c = c :=
le_antisymm
(by simpa only [nat.cast_bit0, nat.cast_one, mul_eq_self h, two_mul] using
mul_le_mul_right c (le_trans (le_of_lt $ nat_lt_omega 2) h))
(le_add_left c c)
theorem add_eq_max {a b : cardinal} (ha : omega ≤ a) : a + b = max a b :=
le_antisymm
(add_eq_self (le_trans ha (le_max_left a b)) ▸
add_le_add (le_max_left _ _) (le_max_right _ _)) $
max_le (le_add_right _ _) (le_add_left _ _)
theorem add_lt_of_lt {a b c : cardinal} (hc : omega ≤ c)
(h1 : a < c) (h2 : b < c) : a + b < c :=
lt_of_le_of_lt (add_le_add (le_max_left a b) (le_max_right a b)) $
(lt_or_le (max a b) omega).elim
(λ h, lt_of_lt_of_le (add_lt_omega h h) hc)
(λ h, by rw add_eq_self h; exact max_lt h1 h2)
lemma eq_of_add_eq_of_omega_le {a b c : cardinal} (h : a + b = c) (ha : a < c) (hc : omega ≤ c) :
b = c :=
begin
apply le_antisymm,
{ rw [← h], apply cardinal.le_add_left },
rw[← not_lt], intro hb,
have : a + b < c := add_lt_of_lt hc ha hb,
simpa [h, lt_irrefl] using this
end
lemma add_eq_left {a b : cardinal} (ha : omega ≤ a) (hb : b ≤ a) : a + b = a :=
by { rw [add_eq_max ha, max_eq_left hb] }
lemma add_eq_right {a b : cardinal} (hb : omega ≤ b) (ha : a ≤ b) : a + b = b :=
by { rw [add_comm, add_eq_left hb ha] }
lemma add_eq_left_iff {a b : cardinal} : a + b = a ↔ (max omega b ≤ a ∨ b = 0) :=
begin
rw [max_le_iff], split,
{ intro h, cases (le_or_lt omega a) with ha ha,
{ left, use ha, rw [← not_lt], intro hb, apply ne_of_gt _ h,
exact lt_of_lt_of_le hb (le_add_left b a) },
right, rw [← h, add_lt_omega_iff, lt_omega, lt_omega] at ha,
rcases ha with ⟨⟨n, rfl⟩, ⟨m, rfl⟩⟩, norm_cast at h ⊢,
rw [← add_right_inj, h, add_zero] },
{ rintro (⟨h1, h2⟩|h3), rw [add_eq_max h1, max_eq_left h2], rw [h3, add_zero] }
end
lemma add_eq_right_iff {a b : cardinal} : a + b = b ↔ (max omega a ≤ b ∨ a = 0) :=
by { rw [add_comm, add_eq_left_iff] }
lemma add_one_eq {a : cardinal} (ha : omega ≤ a) : a + 1 = a :=
have 1 ≤ a, from le_trans (le_of_lt one_lt_omega) ha,
add_eq_left ha this
protected lemma eq_of_add_eq_add_left {a b c : cardinal} (h : a + b = a + c) (ha : a < omega) :
b = c :=
begin
cases le_or_lt omega b with hb hb,
{ have : a < b := lt_of_lt_of_le ha hb,
rw [add_eq_right hb (le_of_lt this), eq_comm] at h,
rw [eq_of_add_eq_of_omega_le h this hb] },
{ have hc : c < omega,
{ rw [← not_le], intro hc,
apply lt_irrefl omega, apply lt_of_le_of_lt (le_trans hc (le_add_left _ a)),
rw [← h], apply add_lt_omega ha hb },
rw [lt_omega] at *,
rcases ha with ⟨n, rfl⟩, rcases hb with ⟨m, rfl⟩, rcases hc with ⟨k, rfl⟩,
norm_cast at h ⊢, apply add_left_cancel h }
end
protected lemma eq_of_add_eq_add_right {a b c : cardinal} (h : a + b = c + b) (hb : b < omega) :
a = c :=
by { rw [add_comm a b, add_comm c b] at h, exact cardinal.eq_of_add_eq_add_left h hb }
/- properties about power -/
theorem pow_le {κ μ : cardinal.{u}} (H1 : omega ≤ κ) (H2 : μ < omega) : κ ^ μ ≤ κ :=
let ⟨n, H3⟩ := lt_omega.1 H2 in
H3.symm ▸ (quotient.induction_on κ (λ α H1, nat.rec_on n
(le_of_lt $ lt_of_lt_of_le (by rw [nat.cast_zero, power_zero];
from one_lt_omega) H1)
(λ n ih, trans_rel_left _
(by rw [nat.cast_succ, power_add, power_one];
from mul_le_mul_right _ ih)
(mul_eq_self H1))) H1)
lemma power_self_eq {c : cardinal} (h : omega ≤ c) : c ^ c = 2 ^ c :=
begin
apply le_antisymm,
{ apply le_trans (power_le_power_right $ le_of_lt $ cantor c), rw [power_mul, mul_eq_self h] },
{ convert power_le_power_right (le_trans (le_of_lt $ nat_lt_omega 2) h), apply nat.cast_two.symm }
end
lemma power_nat_le {c : cardinal.{u}} {n : ℕ} (h : omega ≤ c) : c ^ (n : cardinal.{u}) ≤ c :=
pow_le h (nat_lt_omega n)
lemma powerlt_omega {c : cardinal} (h : omega ≤ c) : c ^< omega = c :=
begin
apply le_antisymm,
{ rw [powerlt_le], intro c', rw [lt_omega], rintro ⟨n, rfl⟩, apply power_nat_le h },
convert le_powerlt one_lt_omega, rw [power_one]
end
lemma powerlt_omega_le (c : cardinal) : c ^< omega ≤ max c omega :=
begin
cases le_or_gt omega c,
{ rw [powerlt_omega h], apply le_max_left },
rw [powerlt_le], intros c' hc',
refine le_trans (le_of_lt $ power_lt_omega h hc') (le_max_right _ _)
end
/- compute cardinality of various types -/
theorem mk_list_eq_mk {α : Type u} (H1 : omega ≤ mk α) : mk (list α) = mk α :=
eq.symm $ le_antisymm ⟨⟨λ x, [x], λ x y H, (list.cons.inj H).1⟩⟩ $
calc mk (list α)
= sum (λ n : ℕ, mk α ^ (n : cardinal.{u})) : mk_list_eq_sum_pow α
... ≤ sum (λ n : ℕ, mk α) : sum_le_sum _ _ $ λ n, pow_le H1 $ nat_lt_omega n
... = sum (λ n : ulift.{u} ℕ, mk α) : quotient.sound
⟨@sigma_congr_left _ _ (λ _, quotient.out (mk α)) equiv.ulift.symm⟩
... = omega * mk α : sum_const _ _
... = max (omega) (mk α) : mul_eq_max (le_refl _) H1
... = mk α : max_eq_right H1
lemma mk_bounded_set_le_of_omega_le (α : Type u) (c : cardinal) (hα : omega ≤ mk α) :
mk {t : set α // mk t ≤ c} ≤ mk α ^ c :=
begin
refine le_trans _ (by rw [←add_one_eq hα]), refine quotient.induction_on c _, clear c, intro β,
fapply mk_le_of_surjective,
{ intro f, use sum.inl ⁻¹' range f,
refine le_trans (mk_preimage_of_injective _ _ (λ x y, sum.inl.inj)) _,
apply mk_range_le },
rintro ⟨s, ⟨g⟩⟩,
use λ y, if h : ∃(x : s), g x = y then sum.inl (classical.some h).val else sum.inr ⟨⟩,
apply subtype.eq, ext,
split,
{ rintro ⟨y, h⟩, dsimp only at h, by_cases h' : ∃ (z : s), g z = y,
{ rw [dif_pos h'] at h, cases sum.inl.inj h, exact (classical.some h').2 },
{ rw [dif_neg h'] at h, cases h }},
{ intro h, have : ∃(z : s), g z = g ⟨x, h⟩, exact ⟨⟨x, h⟩, rfl⟩,
use g ⟨x, h⟩, dsimp only, rw [dif_pos this], congr',
suffices : classical.some this = ⟨x, h⟩, exact congr_arg subtype.val this,
apply g.2, exact classical.some_spec this }
end
lemma mk_bounded_set_le (α : Type u) (c : cardinal) :
mk {t : set α // mk t ≤ c} ≤ max (mk α) omega ^ c :=
begin
transitivity mk {t : set (ulift.{u} nat ⊕ α) // mk t ≤ c},
{ refine ⟨embedding.subtype_map _ _⟩, apply embedding.image,
use sum.inr, apply sum.inr.inj, intros s hs, exact le_trans mk_image_le hs },
refine le_trans
(mk_bounded_set_le_of_omega_le (ulift.{u} nat ⊕ α) c (le_add_right omega (mk α))) _,
rw [max_comm, ←add_eq_max]; refl
end
lemma mk_bounded_subset_le {α : Type u} (s : set α) (c : cardinal.{u}) :
mk {t : set α // t ⊆ s ∧ mk t ≤ c} ≤ max (mk s) omega ^ c :=
begin
refine le_trans _ (mk_bounded_set_le s c),
refine ⟨embedding.cod_restrict _ _ _⟩,
use λ t, subtype.val ⁻¹' t.1,
{ rintros ⟨t, ht1, ht2⟩ ⟨t', h1t', h2t'⟩ h, apply subtype.eq, dsimp only at h ⊢,
refine (preimage_eq_preimage' _ _).1 h; rw [subtype.range_val]; assumption },
rintro ⟨t, h1t, h2t⟩, exact le_trans (mk_preimage_of_injective _ _ subtype.val_injective) h2t
end
/- compl -/
lemma mk_compl_of_omega_le {α : Type*} (s : set α) (h : omega ≤ #α) (h2 : #s < #α) :
#(-s : set α) = #α :=
by { refine eq_of_add_eq_of_omega_le _ h2 h, exact mk_sum_compl s }
lemma mk_compl_finset_of_omega_le {α : Type*} (s : finset α) (h : omega ≤ #α) :
#(-↑s : set α) = #α :=
by { apply mk_compl_of_omega_le _ h, exact lt_of_lt_of_le (finset_card_lt_omega s) h }
lemma mk_compl_eq_mk_compl_infinite {α : Type*} {s t : set α} (h : omega ≤ #α) (hs : #s < #α)
(ht : #t < #α) : #(-s : set α) = #(-t : set α) :=
by { rw [mk_compl_of_omega_le s h hs, mk_compl_of_omega_le t h ht] }
lemma mk_compl_eq_mk_compl_finite_lift {α : Type u} {β : Type v} {s : set α} {t : set β}
(hα : #α < omega) (h1 : lift.{u (max v w)} (#α) = lift.{v (max u w)} (#β))
(h2 : lift.{u (max v w)} (#s) = lift.{v (max u w)} (#t)) :
lift.{u (max v w)} (#(-s : set α)) = lift.{v (max u w)} (#(-t : set β)) :=
begin
have hα' := hα, have h1' := h1,
rw [← mk_sum_compl s, ← mk_sum_compl t] at h1,
rw [← mk_sum_compl s, add_lt_omega_iff] at hα,
lift #s to ℕ using hα.1 with n hn,
lift #(- s : set α) to ℕ using hα.2 with m hm,
have : #(- t : set β) < omega,
{ refine lt_of_le_of_lt (mk_subtype_le _) _,
rw [← lift_lt, lift_omega, ← h1', ← lift_omega.{u (max v w)}, lift_lt], exact hα' },
lift #(- t : set β) to ℕ using this with k hk,
simp [nat_eq_lift_eq_iff] at h2, rw [nat_eq_lift_eq_iff.{v (max u w)}] at h2,
simp [h2.symm] at h1 ⊢, norm_cast at h1, simp at h1, exact h1
end
lemma mk_compl_eq_mk_compl_finite {α β : Type u} {s : set α} {t : set β}
(hα : #α < omega) (h1 : #α = #β) (h : #s = #t) : #(-s : set α) = #(-t : set β) :=
by { rw [← lift_inj], apply mk_compl_eq_mk_compl_finite_lift hα; rw [lift_inj]; assumption }
lemma mk_compl_eq_mk_compl_finite_same {α : Type*} {s t : set α} (hα : #α < omega)
(h : #s = #t) : #(-s : set α) = #(-t : set α) :=
mk_compl_eq_mk_compl_finite hα rfl h
/- extend an injection to an equiv -/
theorem extend_function {α β : Type*} {s : set α} (f : s ↪ β)
(h : nonempty ((-s : set α) ≃ (- range f : set β))) :
∃ (g : α ≃ β), ∀ x : s, g x = f x :=
begin
intros, have := h, cases this with g,
let h : α ≃ β := (set.sum_compl (s : set α)).symm.trans
((sum_congr (equiv.set.range f f.2) g).trans
(set.sum_compl (range f))),
refine ⟨h, _⟩, rintro ⟨x, hx⟩, simp [set.sum_compl_symm_apply_of_mem, hx]
end
theorem extend_function_finite {α β : Type*} {s : set α} (f : s ↪ β)
(hs : #α < omega) (h : nonempty (α ≃ β)) : ∃ (g : α ≃ β), ∀ x : s, g x = f x :=
begin
apply extend_function f,
have := h, cases this with g,
rw [← lift_mk_eq] at h,
rw [←lift_mk_eq, mk_compl_eq_mk_compl_finite_lift hs h],
rw [mk_range_eq_lift], exact f.2
end
theorem extend_function_of_lt {α β : Type*} {s : set α} (f : s ↪ β) (hs : #s < #α)
(h : nonempty (α ≃ β)) : ∃ (g : α ≃ β), ∀ x : s, g x = f x :=
begin
cases (le_or_lt omega (#α)) with hα hα,
{ apply extend_function f, have := h, cases this with g, rw [← lift_mk_eq] at h,
cases cardinal.eq.mp (mk_compl_of_omega_le s hα hs) with g2,
cases cardinal.eq.mp (mk_compl_of_omega_le (range f) _ _) with g3,
{ constructor, exact g2.trans (g.trans g3.symm) },
{ rw [← lift_le, ← h], refine le_trans _ (lift_le.mpr hα), simp },
rwa [← lift_lt, ← h, mk_range_eq_lift, lift_lt], exact f.2 },
{ exact extend_function_finite f hα h }
end
end cardinal
|
851ac14511f4f3241b64df65f16da5937ef895ae | 4fa161becb8ce7378a709f5992a594764699e268 | /src/data/real/basic.lean | 1d7d5ea697ef42e51de0ea0dc5ddfb3c454f2180 | [
"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 | 26,549 | lean | /-
Copyright (c) 2018 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro, Floris van Doorn
The (classical) real numbers ℝ. This is a direct construction
from Cauchy sequences.
-/
import order.conditionally_complete_lattice
import data.real.cau_seq_completion
import algebra.archimedean
def real := @cau_seq.completion.Cauchy ℚ _ _ _ abs _
notation `ℝ` := real
namespace real
open cau_seq cau_seq.completion
variables {x y : ℝ}
def comm_ring_aux : comm_ring ℝ := cau_seq.completion.comm_ring
instance : comm_ring ℝ := { ..comm_ring_aux }
/- Extra instances to short-circuit type class resolution -/
instance : ring ℝ := by apply_instance
instance : comm_semiring ℝ := by apply_instance
instance : semiring ℝ := by apply_instance
instance : add_comm_group ℝ := by apply_instance
instance : add_group ℝ := by apply_instance
instance : add_comm_monoid ℝ := by apply_instance
instance : add_monoid ℝ := by apply_instance
instance : add_left_cancel_semigroup ℝ := by apply_instance
instance : add_right_cancel_semigroup ℝ := by apply_instance
instance : add_comm_semigroup ℝ := by apply_instance
instance : add_semigroup ℝ := by apply_instance
instance : comm_monoid ℝ := by apply_instance
instance : monoid ℝ := by apply_instance
instance : comm_semigroup ℝ := by apply_instance
instance : semigroup ℝ := by apply_instance
instance : inhabited ℝ := ⟨0⟩
/-- Coercion `ℚ` → `ℝ` as a `ring_hom`. Note that this
is `cau_seq.completion.of_rat`, not `rat.cast`. -/
def of_rat : ℚ →+* ℝ := ⟨of_rat, rfl, of_rat_mul, rfl, of_rat_add⟩
/-- Make a real number from a Cauchy sequence of rationals (by taking the equivalence class). -/
def mk (x : cau_seq ℚ abs) : ℝ := cau_seq.completion.mk x
theorem of_rat_sub (x y : ℚ) : of_rat (x - y) = of_rat x - of_rat y :=
congr_arg mk (const_sub _ _)
instance : has_lt ℝ :=
⟨λ x y, quotient.lift_on₂ x y (<) $
λ f₁ g₁ f₂ g₂ hf hg, propext $
⟨λ h, lt_of_eq_of_lt (setoid.symm hf) (lt_of_lt_of_eq h hg),
λ h, lt_of_eq_of_lt hf (lt_of_lt_of_eq h (setoid.symm hg))⟩⟩
@[simp] theorem mk_lt {f g : cau_seq ℚ abs} : mk f < mk g ↔ f < g := iff.rfl
theorem mk_eq {f g : cau_seq ℚ abs} : mk f = mk g ↔ f ≈ g := mk_eq
theorem quotient_mk_eq_mk (f : cau_seq ℚ abs) : ⟦f⟧ = mk f := rfl
theorem mk_eq_mk {f : cau_seq ℚ abs} : cau_seq.completion.mk f = mk f := rfl
@[simp] theorem mk_pos {f : cau_seq ℚ abs} : 0 < mk f ↔ pos f :=
iff_of_eq (congr_arg pos (sub_zero f))
protected def le (x y : ℝ) : Prop := x < y ∨ x = y
instance : has_le ℝ := ⟨real.le⟩
@[simp] theorem mk_le {f g : cau_seq ℚ abs} : mk f ≤ mk g ↔ f ≤ g :=
or_congr iff.rfl quotient.eq
theorem add_lt_add_iff_left {a b : ℝ} (c : ℝ) : c + a < c + b ↔ a < b :=
quotient.induction_on₃ a b c (λ f g h,
iff_of_eq (congr_arg pos $ by rw add_sub_add_left_eq_sub))
instance : linear_order ℝ :=
{ le := (≤), lt := (<),
le_refl := λ a, or.inr rfl,
le_trans := λ a b c, quotient.induction_on₃ a b c $
λ f g h, by simpa [quotient_mk_eq_mk] using le_trans,
lt_iff_le_not_le := λ a b, quotient.induction_on₂ a b $
λ f g, by simpa [quotient_mk_eq_mk] using lt_iff_le_not_le,
le_antisymm := λ a b, quotient.induction_on₂ a b $
λ f g, by simpa [mk_eq, quotient_mk_eq_mk] using @cau_seq.le_antisymm _ _ f g,
le_total := λ a b, quotient.induction_on₂ a b $
λ f g, by simpa [quotient_mk_eq_mk] using le_total f g }
instance : partial_order ℝ := by apply_instance
instance : preorder ℝ := by apply_instance
theorem of_rat_lt {x y : ℚ} : of_rat x < of_rat y ↔ x < y := const_lt
protected theorem zero_lt_one : (0 : ℝ) < 1 := of_rat_lt.2 zero_lt_one
protected theorem mul_pos {a b : ℝ} : 0 < a → 0 < b → 0 < a * b :=
quotient.induction_on₂ a b $ λ f g,
show pos (f - 0) → pos (g - 0) → pos (f * g - 0),
by simpa using cau_seq.mul_pos
instance : linear_ordered_comm_ring ℝ :=
{ add_le_add_left := λ a b h c,
(le_iff_le_iff_lt_iff_lt.2 $ real.add_lt_add_iff_left c).2 h,
zero_ne_one := ne_of_lt real.zero_lt_one,
mul_pos := @real.mul_pos,
zero_lt_one := real.zero_lt_one,
..real.comm_ring, ..real.linear_order, ..real.semiring }
/- Extra instances to short-circuit type class resolution -/
instance : linear_ordered_ring ℝ := by apply_instance
instance : ordered_ring ℝ := by apply_instance
instance : linear_ordered_semiring ℝ := by apply_instance
instance : ordered_semiring ℝ := by apply_instance
instance : ordered_add_comm_group ℝ := by apply_instance
instance : ordered_cancel_add_comm_monoid ℝ := by apply_instance
instance : ordered_add_comm_monoid ℝ := by apply_instance
instance : domain ℝ := by apply_instance
instance : has_one ℝ := by apply_instance
instance : has_zero ℝ := by apply_instance
instance : has_mul ℝ := by apply_instance
instance : has_add ℝ := by apply_instance
instance : has_sub ℝ := by apply_instance
open_locale classical
noncomputable instance : discrete_linear_ordered_field ℝ :=
{ decidable_le := by apply_instance,
..real.linear_ordered_comm_ring,
..real.domain,
..cau_seq.completion.field }
/- Extra instances to short-circuit type class resolution -/
noncomputable instance : linear_ordered_field ℝ := by apply_instance
noncomputable instance : decidable_linear_ordered_comm_ring ℝ := by apply_instance
noncomputable instance : decidable_linear_ordered_semiring ℝ := by apply_instance
noncomputable instance : decidable_linear_ordered_add_comm_group ℝ := by apply_instance
noncomputable instance field : field ℝ := by apply_instance
noncomputable instance : division_ring ℝ := by apply_instance
noncomputable instance : integral_domain ℝ := by apply_instance
instance : nonzero ℝ := by apply_instance
noncomputable instance : decidable_linear_order ℝ := by apply_instance
noncomputable instance : distrib_lattice ℝ := by apply_instance
noncomputable instance : lattice ℝ := by apply_instance
noncomputable instance : semilattice_inf ℝ := by apply_instance
noncomputable instance : semilattice_sup ℝ := by apply_instance
noncomputable instance : has_inf ℝ := by apply_instance
noncomputable instance : has_sup ℝ := by apply_instance
noncomputable instance decidable_lt (a b : ℝ) : decidable (a < b) := by apply_instance
noncomputable instance decidable_le (a b : ℝ) : decidable (a ≤ b) := by apply_instance
noncomputable instance decidable_eq (a b : ℝ) : decidable (a = b) := by apply_instance
lemma le_of_forall_epsilon_le {a b : real} (h : ∀ε, ε > 0 → a ≤ b + ε) : a ≤ b :=
le_of_forall_le_of_dense $ assume x hxb,
calc a ≤ b + (x - b) : h (x-b) $ sub_pos.2 hxb
... = x : by rw [add_comm]; simp
open rat
@[simp] theorem of_rat_eq_cast : ∀ x : ℚ, of_rat x = x :=
of_rat.eq_rat_cast
theorem le_mk_of_forall_le {f : cau_seq ℚ abs} :
(∃ i, ∀ j ≥ i, x ≤ f j) → x ≤ mk f :=
quotient.induction_on x $ λ g h, le_of_not_lt $
λ ⟨K, K0, hK⟩,
let ⟨i, H⟩ := exists_forall_ge_and h $
exists_forall_ge_and hK (f.cauchy₃ $ half_pos K0) in
begin
apply not_lt_of_le (H _ (le_refl _)).1,
rw ← of_rat_eq_cast,
refine ⟨_, half_pos K0, i, λ j ij, _⟩,
have := add_le_add (H _ ij).2.1
(le_of_lt (abs_lt.1 $ (H _ (le_refl _)).2.2 _ ij).1),
rwa [← sub_eq_add_neg, sub_self_div_two, sub_apply, sub_add_sub_cancel] at this
end
theorem mk_le_of_forall_le {f : cau_seq ℚ abs} {x : ℝ} :
(∃ i, ∀ j ≥ i, (f j : ℝ) ≤ x) → mk f ≤ x
| ⟨i, H⟩ := by rw [← neg_le_neg_iff, ← mk_eq_mk, mk_neg]; exact
le_mk_of_forall_le ⟨i, λ j ij, by simp [H _ ij]⟩
theorem mk_near_of_forall_near {f : cau_seq ℚ abs} {x : ℝ} {ε : ℝ}
(H : ∃ i, ∀ j ≥ i, abs ((f j : ℝ) - x) ≤ ε) : abs (mk f - x) ≤ ε :=
abs_sub_le_iff.2
⟨sub_le_iff_le_add'.2 $ mk_le_of_forall_le $
H.imp $ λ i h j ij, sub_le_iff_le_add'.1 (abs_sub_le_iff.1 $ h j ij).1,
sub_le.1 $ le_mk_of_forall_le $
H.imp $ λ i h j ij, sub_le.1 (abs_sub_le_iff.1 $ h j ij).2⟩
instance : archimedean ℝ :=
archimedean_iff_rat_le.2 $ λ x, quotient.induction_on x $ λ f,
let ⟨M, M0, H⟩ := f.bounded' 0 in
⟨M, mk_le_of_forall_le ⟨0, λ i _,
rat.cast_le.2 $ le_of_lt (abs_lt.1 (H i)).2⟩⟩
/- mark `real` irreducible in order to prevent `auto_cases` unfolding reals,
since users rarely want to consider real numbers as Cauchy sequences.
Marking `comm_ring_aux` `irreducible` is done to ensure that there are no problems
with non definitionally equal instances, caused by making `real` irreducible-/
attribute [irreducible] real comm_ring_aux
noncomputable instance : floor_ring ℝ := archimedean.floor_ring _
theorem is_cau_seq_iff_lift {f : ℕ → ℚ} : is_cau_seq abs f ↔ is_cau_seq abs (λ i, (f i : ℝ)) :=
⟨λ H ε ε0,
let ⟨δ, δ0, δε⟩ := exists_pos_rat_lt ε0 in
(H _ δ0).imp $ λ i hi j ij, lt_trans
(by simpa using (@rat.cast_lt ℝ _ _ _).2 (hi _ ij)) δε,
λ H ε ε0, (H _ (rat.cast_pos.2 ε0)).imp $
λ i hi j ij, (@rat.cast_lt ℝ _ _ _).1 $ by simpa using hi _ ij⟩
theorem of_near (f : ℕ → ℚ) (x : ℝ)
(h : ∀ ε > 0, ∃ i, ∀ j ≥ i, abs ((f j : ℝ) - x) < ε) :
∃ h', real.mk ⟨f, h'⟩ = x :=
⟨is_cau_seq_iff_lift.2 (of_near _ (const abs x) h),
sub_eq_zero.1 $ abs_eq_zero.1 $
eq_of_le_of_forall_le_of_dense (abs_nonneg _) $ λ ε ε0,
mk_near_of_forall_near $
(h _ ε0).imp (λ i h j ij, le_of_lt (h j ij))⟩
theorem exists_floor (x : ℝ) : ∃ (ub : ℤ), (ub:ℝ) ≤ x ∧
∀ (z : ℤ), (z:ℝ) ≤ x → z ≤ ub :=
int.exists_greatest_of_bdd
(let ⟨n, hn⟩ := exists_int_gt x in ⟨n, λ z h',
int.cast_le.1 $ le_trans h' $ le_of_lt hn⟩)
(let ⟨n, hn⟩ := exists_int_lt x in ⟨n, le_of_lt hn⟩)
theorem exists_sup (S : set ℝ) : (∃ x, x ∈ S) → (∃ x, ∀ y ∈ S, y ≤ x) →
∃ x, ∀ y, x ≤ y ↔ ∀ z ∈ S, z ≤ y
| ⟨L, hL⟩ ⟨U, hU⟩ := begin
choose f hf using begin
refine λ d : ℕ, @int.exists_greatest_of_bdd
(λ n, ∃ y ∈ S, (n:ℝ) ≤ y * d) _ _,
{ cases exists_int_gt U with k hk,
refine ⟨k * d, λ z h, _⟩,
rcases h with ⟨y, yS, hy⟩,
refine int.cast_le.1 (le_trans hy _),
simp,
exact mul_le_mul_of_nonneg_right
(le_trans (hU _ yS) (le_of_lt hk)) (nat.cast_nonneg _) },
{ exact ⟨⌊L * d⌋, L, hL, floor_le _⟩ }
end,
have hf₁ : ∀ n > 0, ∃ y ∈ S, ((f n / n:ℚ):ℝ) ≤ y := λ n n0,
let ⟨y, yS, hy⟩ := (hf n).1 in
⟨y, yS, by simpa using (div_le_iff ((nat.cast_pos.2 n0):((_:ℝ) < _))).2 hy⟩,
have hf₂ : ∀ (n > 0) (y ∈ S), (y - (n:ℕ)⁻¹ : ℝ) < (f n / n:ℚ),
{ intros n n0 y yS,
have := lt_of_lt_of_le (sub_one_lt_floor _)
(int.cast_le.2 $ (hf n).2 _ ⟨y, yS, floor_le _⟩),
simp [-sub_eq_add_neg],
rwa [lt_div_iff ((nat.cast_pos.2 n0):((_:ℝ) < _)), sub_mul, _root_.inv_mul_cancel],
exact ne_of_gt (nat.cast_pos.2 n0) },
suffices hg, let g : cau_seq ℚ abs := ⟨λ n, f n / n, hg⟩,
refine ⟨mk g, λ y, ⟨λ h x xS, le_trans _ h, λ h, _⟩⟩,
{ refine le_of_forall_ge_of_dense (λ z xz, _),
cases exists_nat_gt (x - z)⁻¹ with K hK,
refine le_mk_of_forall_le ⟨K, λ n nK, _⟩,
replace xz := sub_pos.2 xz,
replace hK := le_trans (le_of_lt hK) (nat.cast_le.2 nK),
have n0 : 0 < n := nat.cast_pos.1 (lt_of_lt_of_le (inv_pos.2 xz) hK),
refine le_trans _ (le_of_lt $ hf₂ _ n0 _ xS),
rwa [le_sub, inv_le ((nat.cast_pos.2 n0):((_:ℝ) < _)) xz] },
{ exact mk_le_of_forall_le ⟨1, λ n n1,
let ⟨x, xS, hx⟩ := hf₁ _ n1 in le_trans hx (h _ xS)⟩ },
intros ε ε0,
suffices : ∀ j k ≥ nat_ceil ε⁻¹, (f j / j - f k / k : ℚ) < ε,
{ refine ⟨_, λ j ij, abs_lt.2 ⟨_, this _ _ ij (le_refl _)⟩⟩,
rw [neg_lt, neg_sub], exact this _ _ (le_refl _) ij },
intros j k ij ik,
replace ij := le_trans (le_nat_ceil _) (nat.cast_le.2 ij),
replace ik := le_trans (le_nat_ceil _) (nat.cast_le.2 ik),
have j0 := nat.cast_pos.1 (lt_of_lt_of_le (inv_pos.2 ε0) ij),
have k0 := nat.cast_pos.1 (lt_of_lt_of_le (inv_pos.2 ε0) ik),
rcases hf₁ _ j0 with ⟨y, yS, hy⟩,
refine lt_of_lt_of_le ((@rat.cast_lt ℝ _ _ _).1 _)
((inv_le ε0 (nat.cast_pos.2 k0)).1 ik),
simpa using sub_lt_iff_lt_add'.2
(lt_of_le_of_lt hy $ sub_lt_iff_lt_add.1 $ hf₂ _ k0 _ yS)
end
noncomputable instance : has_Sup ℝ :=
⟨λ S, if h : (∃ x, x ∈ S) ∧ (∃ x, ∀ y ∈ S, y ≤ x)
then classical.some (exists_sup S h.1 h.2) else 0⟩
lemma Sup_def (S : set ℝ) :
Sup S = if h : (∃ x, x ∈ S) ∧ (∃ x, ∀ y ∈ S, y ≤ x)
then classical.some (exists_sup S h.1 h.2) else 0 := rfl
theorem Sup_le (S : set ℝ) (h₁ : ∃ x, x ∈ S) (h₂ : ∃ x, ∀ y ∈ S, y ≤ x)
{y} : Sup S ≤ y ↔ ∀ z ∈ S, z ≤ y :=
by simp [Sup_def, h₁, h₂]; exact
classical.some_spec (exists_sup S h₁ h₂) y
section
-- this proof times out without this
local attribute [instance, priority 1000] classical.prop_decidable
theorem lt_Sup (S : set ℝ) (h₁ : ∃ x, x ∈ S) (h₂ : ∃ x, ∀ y ∈ S, y ≤ x)
{y} : y < Sup S ↔ ∃ z ∈ S, y < z :=
by simpa [not_forall] using not_congr (@Sup_le S h₁ h₂ y)
end
theorem le_Sup (S : set ℝ) (h₂ : ∃ x, ∀ y ∈ S, y ≤ x) {x} (xS : x ∈ S) : x ≤ Sup S :=
(Sup_le S ⟨_, xS⟩ h₂).1 (le_refl _) _ xS
theorem Sup_le_ub (S : set ℝ) (h₁ : ∃ x, x ∈ S) {ub} (h₂ : ∀ y ∈ S, y ≤ ub) : Sup S ≤ ub :=
(Sup_le S h₁ ⟨_, h₂⟩).2 h₂
protected lemma is_lub_Sup {s : set ℝ} {a b : ℝ} (ha : a ∈ s) (hb : b ∈ upper_bounds s) :
is_lub s (Sup s) :=
⟨λ x xs, real.le_Sup s ⟨_, hb⟩ xs,
λ u h, real.Sup_le_ub _ ⟨_, ha⟩ h⟩
noncomputable instance : has_Inf ℝ := ⟨λ S, -Sup {x | -x ∈ S}⟩
lemma Inf_def (S : set ℝ) : Inf S = -Sup {x | -x ∈ S} := rfl
theorem le_Inf (S : set ℝ) (h₁ : ∃ x, x ∈ S) (h₂ : ∃ x, ∀ y ∈ S, x ≤ y)
{y} : y ≤ Inf S ↔ ∀ z ∈ S, y ≤ z :=
begin
refine le_neg.trans ((Sup_le _ _ _).trans _),
{ cases h₁ with x xS, exact ⟨-x, by simp [xS]⟩ },
{ cases h₂ with ub h, exact ⟨-ub, λ y hy, le_neg.1 $ h _ hy⟩ },
split; intros H z hz,
{ exact neg_le_neg_iff.1 (H _ $ by simp [hz]) },
{ exact le_neg.2 (H _ hz) }
end
section
-- this proof times out without this
local attribute [instance, priority 1000] classical.prop_decidable
theorem Inf_lt (S : set ℝ) (h₁ : ∃ x, x ∈ S) (h₂ : ∃ x, ∀ y ∈ S, x ≤ y)
{y} : Inf S < y ↔ ∃ z ∈ S, z < y :=
by simpa [not_forall] using not_congr (@le_Inf S h₁ h₂ y)
end
theorem Inf_le (S : set ℝ) (h₂ : ∃ x, ∀ y ∈ S, x ≤ y) {x} (xS : x ∈ S) : Inf S ≤ x :=
(le_Inf S ⟨_, xS⟩ h₂).1 (le_refl _) _ xS
theorem lb_le_Inf (S : set ℝ) (h₁ : ∃ x, x ∈ S) {lb} (h₂ : ∀ y ∈ S, lb ≤ y) : lb ≤ Inf S :=
(le_Inf S h₁ ⟨_, h₂⟩).2 h₂
noncomputable instance : conditionally_complete_linear_order ℝ :=
{ Sup := has_Sup.Sup,
Inf := has_Inf.Inf,
le_cSup :=
assume (s : set ℝ) (a : ℝ) (_ : bdd_above s) (_ : a ∈ s),
show a ≤ Sup s,
from le_Sup s ‹bdd_above s› ‹a ∈ s›,
cSup_le :=
assume (s : set ℝ) (a : ℝ) (_ : s.nonempty) (H : ∀b∈s, b ≤ a),
show Sup s ≤ a,
from Sup_le_ub s ‹s.nonempty› H,
cInf_le :=
assume (s : set ℝ) (a : ℝ) (_ : bdd_below s) (_ : a ∈ s),
show Inf s ≤ a,
from Inf_le s ‹bdd_below s› ‹a ∈ s›,
le_cInf :=
assume (s : set ℝ) (a : ℝ) (_ : s.nonempty) (H : ∀b∈s, a ≤ b),
show a ≤ Inf s,
from lb_le_Inf s ‹s.nonempty› H,
decidable_le := classical.dec_rel _,
..real.linear_order, ..real.lattice}
theorem Sup_empty : Sup (∅ : set ℝ) = 0 := dif_neg $ by simp
theorem Sup_of_not_bdd_above {s : set ℝ} (hs : ¬ bdd_above s) : Sup s = 0 :=
dif_neg $ assume h, hs h.2
theorem Sup_univ : Sup (@set.univ ℝ) = 0 :=
real.Sup_of_not_bdd_above $ λ ⟨x, h⟩, not_le_of_lt (lt_add_one _) $ h (set.mem_univ _)
theorem Inf_empty : Inf (∅ : set ℝ) = 0 :=
by simp [Inf_def, Sup_empty]
theorem Inf_of_not_bdd_below {s : set ℝ} (hs : ¬ bdd_below s) : Inf s = 0 :=
have bdd_above {x | -x ∈ s} → bdd_below s, from
assume ⟨b, hb⟩, ⟨-b, assume x hxs, neg_le.2 $ hb $ by simp [hxs]⟩,
have ¬ bdd_above {x | -x ∈ s}, from mt this hs,
neg_eq_zero.2 $ Sup_of_not_bdd_above $ this
theorem cau_seq_converges (f : cau_seq ℝ abs) : ∃ x, f ≈ const abs x :=
begin
let S := {x : ℝ | const abs x < f},
have lb : ∃ x, x ∈ S := exists_lt f,
have ub' : ∀ x, f < const abs x → ∀ y ∈ S, y ≤ x :=
λ x h y yS, le_of_lt $ const_lt.1 $ cau_seq.lt_trans yS h,
have ub : ∃ x, ∀ y ∈ S, y ≤ x := (exists_gt f).imp ub',
refine ⟨Sup S,
((lt_total _ _).resolve_left (λ h, _)).resolve_right (λ h, _)⟩,
{ rcases h with ⟨ε, ε0, i, ih⟩,
refine not_lt_of_le (Sup_le_ub S lb (ub' _ _))
((sub_lt_self_iff _).2 (half_pos ε0)),
refine ⟨_, half_pos ε0, i, λ j ij, _⟩,
rw [sub_apply, const_apply, sub_right_comm,
le_sub_iff_add_le, add_halves],
exact ih _ ij },
{ rcases h with ⟨ε, ε0, i, ih⟩,
refine not_lt_of_le (le_Sup S ub _)
((lt_add_iff_pos_left _).2 (half_pos ε0)),
refine ⟨_, half_pos ε0, i, λ j ij, _⟩,
rw [sub_apply, const_apply, add_comm, ← sub_sub,
le_sub_iff_add_le, add_halves],
exact ih _ ij }
end
noncomputable instance : cau_seq.is_complete ℝ abs := ⟨cau_seq_converges⟩
theorem sqrt_exists : ∀ {x : ℝ}, 0 ≤ x → ∃ y, 0 ≤ y ∧ y * y = x :=
suffices H : ∀ {x : ℝ}, 0 < x → x ≤ 1 → ∃ y, 0 < y ∧ y * y = x, begin
intros x x0, cases x0,
cases le_total x 1 with x1 x1,
{ rcases H x0 x1 with ⟨y, y0, hy⟩,
exact ⟨y, le_of_lt y0, hy⟩ },
{ have := (inv_le_inv x0 zero_lt_one).2 x1,
rw inv_one at this,
rcases H (inv_pos.2 x0) this with ⟨y, y0, hy⟩,
refine ⟨y⁻¹, le_of_lt (inv_pos.2 y0), _⟩, rw [← mul_inv', hy, inv_inv'] },
{ exact ⟨0, by simp [x0.symm]⟩ }
end,
λ x x0 x1, begin
let S := {y | 0 < y ∧ y * y ≤ x},
have lb : x ∈ S := ⟨x0, by simpa using (mul_le_mul_right x0).2 x1⟩,
have ub : ∀ y ∈ S, (y:ℝ) ≤ 1,
{ intros y yS, cases yS with y0 yx,
refine (mul_self_le_mul_self_iff (le_of_lt y0) zero_le_one).2 _,
simpa using le_trans yx x1 },
have S0 : 0 < Sup S := lt_of_lt_of_le x0 (le_Sup _ ⟨_, ub⟩ lb),
refine ⟨Sup S, S0, le_antisymm (not_lt.1 $ λ h, _) (not_lt.1 $ λ h, _)⟩,
{ rw [← div_lt_iff S0, lt_Sup S ⟨_, lb⟩ ⟨_, ub⟩] at h,
rcases h with ⟨y, ⟨y0, yx⟩, hy⟩,
rw [div_lt_iff S0, ← div_lt_iff' y0, lt_Sup S ⟨_, lb⟩ ⟨_, ub⟩] at hy,
rcases hy with ⟨z, ⟨z0, zx⟩, hz⟩,
rw [div_lt_iff y0] at hz,
exact not_lt_of_lt
((mul_lt_mul_right y0).1 (lt_of_le_of_lt yx hz))
((mul_lt_mul_left z0).1 (lt_of_le_of_lt zx hz)) },
{ let s := Sup S, let y := s + (x - s * s) / 3,
replace h : 0 < x - s * s := sub_pos.2 h,
have _30 := bit1_pos zero_le_one,
have : s < y := (lt_add_iff_pos_right _).2 (div_pos h _30),
refine not_le_of_lt this (le_Sup S ⟨_, ub⟩ ⟨lt_trans S0 this, _⟩),
rw [add_mul_self_eq, add_assoc, ← le_sub_iff_add_le', ← add_mul,
← le_div_iff (div_pos h _30), div_div_cancel' (ne_of_gt h)],
apply add_le_add,
{ simpa using (mul_le_mul_left (@two_pos ℝ _)).2 (Sup_le_ub _ ⟨_, lb⟩ ub) },
{ rw [div_le_one_iff_le _30],
refine le_trans (sub_le_self _ (mul_self_nonneg _)) (le_trans x1 _),
exact (le_add_iff_nonneg_left _).2 (le_of_lt two_pos) } }
end
def sqrt_aux (f : cau_seq ℚ abs) : ℕ → ℚ
| 0 := rat.mk_nat (f 0).num.to_nat.sqrt (f 0).denom.sqrt
| (n + 1) := let s := sqrt_aux n in max 0 $ (s + f (n+1) / s) / 2
theorem sqrt_aux_nonneg (f : cau_seq ℚ abs) : ∀ i : ℕ, 0 ≤ sqrt_aux f i
| 0 := by rw [sqrt_aux, mk_nat_eq, mk_eq_div];
apply div_nonneg'; exact int.cast_nonneg.2 (int.of_nat_nonneg _)
| (n + 1) := le_max_left _ _
/- TODO(Mario): finish the proof
theorem sqrt_aux_converges (f : cau_seq ℚ abs) : ∃ h x, 0 ≤ x ∧ x * x = max 0 (mk f) ∧
mk ⟨sqrt_aux f, h⟩ = x :=
begin
rcases sqrt_exists (le_max_left 0 (mk f)) with ⟨x, x0, hx⟩,
suffices : ∃ h, mk ⟨sqrt_aux f, h⟩ = x,
{ exact this.imp (λ h e, ⟨x, x0, hx, e⟩) },
apply of_near,
suffices : ∃ δ > 0, ∀ i, abs (↑(sqrt_aux f i) - x) < δ / 2 ^ i,
{ rcases this with ⟨δ, δ0, hδ⟩,
intros,
}
end -/
noncomputable def sqrt (x : ℝ) : ℝ :=
classical.some (sqrt_exists (le_max_left 0 x))
/-quotient.lift_on x
(λ f, mk ⟨sqrt_aux f, (sqrt_aux_converges f).fst⟩)
(λ f g e, begin
rcases sqrt_aux_converges f with ⟨hf, x, x0, xf, xs⟩,
rcases sqrt_aux_converges g with ⟨hg, y, y0, yg, ys⟩,
refine xs.trans (eq.trans _ ys.symm),
rw [← @mul_self_inj_of_nonneg ℝ _ x y x0 y0, xf, yg],
congr' 1, exact quotient.sound e
end)-/
theorem sqrt_prop (x : ℝ) : 0 ≤ sqrt x ∧ sqrt x * sqrt x = max 0 x :=
classical.some_spec (sqrt_exists (le_max_left 0 x))
/-quotient.induction_on x $ λ f,
by rcases sqrt_aux_converges f with ⟨hf, _, x0, xf, rfl⟩; exact ⟨x0, xf⟩-/
theorem sqrt_eq_zero_of_nonpos (h : x ≤ 0) : sqrt x = 0 :=
eq_zero_of_mul_self_eq_zero $ (sqrt_prop x).2.trans $ max_eq_left h
theorem sqrt_nonneg (x : ℝ) : 0 ≤ sqrt x := (sqrt_prop x).1
@[simp] theorem mul_self_sqrt (h : 0 ≤ x) : sqrt x * sqrt x = x :=
(sqrt_prop x).2.trans (max_eq_right h)
@[simp] theorem sqrt_mul_self (h : 0 ≤ x) : sqrt (x * x) = x :=
(mul_self_inj_of_nonneg (sqrt_nonneg _) h).1 (mul_self_sqrt (mul_self_nonneg _))
theorem sqrt_eq_iff_mul_self_eq (hx : 0 ≤ x) (hy : 0 ≤ y) :
sqrt x = y ↔ y * y = x :=
⟨λ h, by rw [← h, mul_self_sqrt hx],
λ h, by rw [← h, sqrt_mul_self hy]⟩
@[simp] theorem sqr_sqrt (h : 0 ≤ x) : sqrt x ^ 2 = x :=
by rw [pow_two, mul_self_sqrt h]
@[simp] theorem sqrt_sqr (h : 0 ≤ x) : sqrt (x ^ 2) = x :=
by rw [pow_two, sqrt_mul_self h]
theorem sqrt_eq_iff_sqr_eq (hx : 0 ≤ x) (hy : 0 ≤ y) :
sqrt x = y ↔ y ^ 2 = x :=
by rw [pow_two, sqrt_eq_iff_mul_self_eq hx hy]
theorem sqrt_mul_self_eq_abs (x : ℝ) : sqrt (x * x) = abs x :=
(le_total 0 x).elim
(λ h, (sqrt_mul_self h).trans (abs_of_nonneg h).symm)
(λ h, by rw [← neg_mul_neg,
sqrt_mul_self (neg_nonneg.2 h), abs_of_nonpos h])
theorem sqrt_sqr_eq_abs (x : ℝ) : sqrt (x ^ 2) = abs x :=
by rw [pow_two, sqrt_mul_self_eq_abs]
@[simp] theorem sqrt_zero : sqrt 0 = 0 :=
by simpa using sqrt_mul_self (le_refl _)
@[simp] theorem sqrt_one : sqrt 1 = 1 :=
by simpa using sqrt_mul_self zero_le_one
@[simp] theorem sqrt_le (hx : 0 ≤ x) (hy : 0 ≤ y) : sqrt x ≤ sqrt y ↔ x ≤ y :=
by rw [mul_self_le_mul_self_iff (sqrt_nonneg _) (sqrt_nonneg _),
mul_self_sqrt hx, mul_self_sqrt hy]
@[simp] theorem sqrt_lt (hx : 0 ≤ x) (hy : 0 ≤ y) : sqrt x < sqrt y ↔ x < y :=
lt_iff_lt_of_le_iff_le (sqrt_le hy hx)
lemma sqrt_le_sqrt (h : x ≤ y) : sqrt x ≤ sqrt y :=
begin
rw [mul_self_le_mul_self_iff (sqrt_nonneg _) (sqrt_nonneg _), (sqrt_prop _).2, (sqrt_prop _).2],
exact max_le_max (le_refl _) h
end
lemma sqrt_le_left (hy : 0 ≤ y) : sqrt x ≤ y ↔ x ≤ y ^ 2 :=
begin
rw [mul_self_le_mul_self_iff (sqrt_nonneg _) hy, pow_two],
cases le_total 0 x with hx hx,
{ rw [mul_self_sqrt hx] },
{ have h1 : 0 ≤ y * y := mul_nonneg hy hy,
have h2 : x ≤ y * y := le_trans hx h1,
simp [sqrt_eq_zero_of_nonpos, hx, h1, h2] }
end
/- note: if you want to conclude `x ≤ sqrt y`, then use `le_sqrt_of_sqr_le`.
if you have `x > 0`, consider using `le_sqrt'` -/
lemma le_sqrt (hx : 0 ≤ x) (hy : 0 ≤ y) : x ≤ sqrt y ↔ x ^ 2 ≤ y :=
by rw [mul_self_le_mul_self_iff hx (sqrt_nonneg _), pow_two, mul_self_sqrt hy]
lemma le_sqrt' (hx : 0 < x) : x ≤ sqrt y ↔ x ^ 2 ≤ y :=
begin
rw [mul_self_le_mul_self_iff (le_of_lt hx) (sqrt_nonneg _), pow_two],
cases le_total 0 y with hy hy,
{ rw [mul_self_sqrt hy] },
{ have h1 : 0 < x * x := mul_pos hx hx,
have h2 : ¬x * x ≤ y := not_le_of_lt (lt_of_le_of_lt hy h1),
simp [sqrt_eq_zero_of_nonpos, hy, h1, h2] }
end
lemma le_sqrt_of_sqr_le (h : x ^ 2 ≤ y) : x ≤ sqrt y :=
begin
cases lt_or_ge 0 x with hx hx,
{ rwa [le_sqrt' hx] },
{ exact le_trans hx (sqrt_nonneg y) }
end
@[simp] theorem sqrt_inj (hx : 0 ≤ x) (hy : 0 ≤ y) : sqrt x = sqrt y ↔ x = y :=
by simp [le_antisymm_iff, hx, hy]
@[simp] theorem sqrt_eq_zero (h : 0 ≤ x) : sqrt x = 0 ↔ x = 0 :=
by simpa using sqrt_inj h (le_refl _)
theorem sqrt_eq_zero' : sqrt x = 0 ↔ x ≤ 0 :=
(le_total x 0).elim
(λ h, by simp [h, sqrt_eq_zero_of_nonpos])
(λ h, by simp [h]; simp [le_antisymm_iff, h])
@[simp] theorem sqrt_pos : 0 < sqrt x ↔ 0 < x :=
lt_iff_lt_of_le_iff_le (iff.trans
(by simp [le_antisymm_iff, sqrt_nonneg]) sqrt_eq_zero')
@[simp] theorem sqrt_mul' (x) {y : ℝ} (hy : 0 ≤ y) : sqrt (x * y) = sqrt x * sqrt y :=
begin
cases le_total 0 x with hx hx,
{ refine iff.mp (mul_self_inj_of_nonneg _ (mul_nonneg _ _)) _; try {apply sqrt_nonneg},
rw [mul_self_sqrt (mul_nonneg hx hy), mul_assoc,
mul_left_comm (sqrt y), mul_self_sqrt hy, ← mul_assoc, mul_self_sqrt hx] },
{ rw [sqrt_eq_zero'.2 (mul_nonpos_of_nonpos_of_nonneg hx hy),
sqrt_eq_zero'.2 hx, zero_mul] }
end
@[simp] theorem sqrt_mul (hx : 0 ≤ x) (y : ℝ) : sqrt (x * y) = sqrt x * sqrt y :=
by rw [mul_comm, sqrt_mul' _ hx, mul_comm]
@[simp] theorem sqrt_inv (x : ℝ) : sqrt x⁻¹ = (sqrt x)⁻¹ :=
(le_or_lt x 0).elim
(λ h, by simp [sqrt_eq_zero'.2, inv_nonpos, h])
(λ h, by rw [
← mul_self_inj_of_nonneg (sqrt_nonneg _) (le_of_lt $ inv_pos.2 $ sqrt_pos.2 h),
mul_self_sqrt (le_of_lt $ inv_pos.2 h), ← mul_inv', mul_self_sqrt (le_of_lt h)])
@[simp] theorem sqrt_div (hx : 0 ≤ x) (y : ℝ) : sqrt (x / y) = sqrt x / sqrt y :=
by rw [division_def, sqrt_mul hx, sqrt_inv]; refl
attribute [irreducible] real.le
end real
|
439b9d43a018b02adde5816de202c67681bd4554 | 2f291cee459e0e7f5af2abd1034c11b969936560 | /src/faulhaber_with_power_series.lean | 676e890bfaa291e403d13a75cc1f6a50c10cd08c | [] | no_license | mo271/faulhaber | be5a22e717f59b5a0a5b1f1e1acf61ff768c5400 | 2e39d9cb7bc6fc400a818b2581ee921d41a7871a | refs/heads/master | 1,678,216,700,259 | 1,613,991,672,000 | 1,613,991,672,000 | 338,251,172 | 1 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 24,373 | lean | import tactic
import data.nat.prime
import data.nat.parity
import algebra.divisibility
import algebra.big_operators
import data.set.finite
import number_theory.bernoulli
import data.finset
import data.finset.basic
import data.nat.basic
import data.finset.nat_antidiagonal
import ring_theory.power_series.basic
open power_series
theorem expand_tonelli (n:ℕ):
(finset.range n).sum(λ k, power_series.mk (λ n, (k:ℚ)^n / n.factorial)) =
power_series.mk (λ p, (finset.range n).sum(λ k, k^p)/p.factorial) :=
begin
induction n with n h,
{ simp only [zero_div, finset.sum_empty, finset.range_zero],
refl },
rw [finset.sum_range_succ, h],
ext,
simp only [coeff_mk, linear_map.map_add],
rw [finset.sum_range_succ, add_div],
end
def expk (k:ℕ) : power_series ℚ := power_series.mk (λ n, (k:ℚ)^n / n.factorial)
lemma expkrw (k:ℕ ): (expk k) = power_series.mk (λ n, (k:ℚ)^n / n.factorial)
:= by refl
-- some version of this might be useful to have in mathlib?!
lemma expk' (k:ℕ): (exp ℚ)^k = expk k :=
begin
induction k with k h,
{rw [expk],
ext,
simp only [coeff_mk, coeff_one, nat.nat_zero_eq_zero, nat.factorial,
nat.cast_zero, pow_zero],
split_ifs,
{ simp [h] },
{ simp [h] } },
simp only [pow_succ, h],
ext,
rw [coeff_mul],
simp only [expk, exp, one_div, coeff_mk, nat.factorial, ring_hom.id_apply,
nat.cast_succ, rat.algebra_map_rat_rat],
have hf: (n.factorial:ℚ) ≠ 0 := by simp only [n.factorial_ne_zero, ne.def,
nat.cast_eq_zero, not_false_iff],
rw [mul_mul_div ((finset.nat.antidiagonal n).sum
(λ (x : ℕ × ℕ), (↑(x.fst.factorial))⁻¹ *
(↑k ^ x.snd / ↑(x.snd.factorial)))) hf],
rw [←div_eq_mul_one_div, div_left_inj' hf],
let f: ℕ → ℕ → ℚ := λ a : ℕ, λ b : ℕ,
((↑(a.factorial))⁻¹ * (↑k ^ b / ↑(b.factorial))),
simp only [finset.nat.sum_antidiagonal_eq_sum_range_succ f],
have hfab: ∀ (a b:ℕ), f a b =
((↑(a.factorial))⁻¹ * (↑k ^ b / ↑(b.factorial))) :=
begin
intros,
refl,
end,
rw [add_comm ↑k, add_pow, finset.sum_mul],
have hsucc: n.succ = n + 1 := by refl,
simp only [←hsucc],
refine finset.sum_congr rfl _,
intros m hm,
rw [hfab],
rw [finset.mem_range] at hm,
have hnmn: n - m ≤ n :=
begin
apply nat.sub_le_left_of_le_add,
apply nat.le_add_left,
end,
have hnm: m ≤ n := nat.le_of_lt_succ hm,
rw [←nat.choose_symm hnm, nat.choose_eq_factorial_div_factorial hnmn],
have hnnm: n - (n - m) = m := nat.sub_sub_self hnm,
rw [hnnm],
simp only [one_pow, one_mul],
rw [mul_comm ((m.factorial):ℚ)⁻¹],
simp only [nat.factorial_mul_factorial_dvd_factorial hnm],
rw ← division_def,
rw div_div_eq_div_mul,
rw mul_comm,
have hfacprod: ↑(m.factorial * (n - m).factorial) ≠ 0 :=
begin
have hmfacnezero: m.factorial ≠ 0:= ne_of_gt m.factorial_pos,
have hnmfacnezero: (n-m).factorial ≠ 0 :=
begin
have hk: ∃ k, k = n - m:= by simp only [exists_apply_eq_apply],
refine ne_of_gt _,
cases hk with k hk,
have hkfac: k.factorial >0 := k.factorial_pos,
rw hk at hkfac,
exact hkfac,
end,
have hnn: m.factorial * (n - m).factorial ≠ 0 := mul_ne_zero hmfacnezero hnmfacnezero,
simp [hnn],
end,
rw [nat.cast_dvd, nat.cast_mul],
simp only [← mul_div_assoc, mul_comm],
rw mul_comm,
exact nat.factorial_mul_factorial_dvd_factorial hnm,
simp only [ne.def, nat.cast_eq_zero, mul_eq_zero],
simp only [nat.factorial_ne_zero, not_false_iff, or_self],
end
lemma expk_minus_one_coeff (n m:ℕ): (coeff ℚ m) ((expk n) - 1) =
( if (m > 0) then ((coeff ℚ m) (expk n)) else (((coeff ℚ 0) (expk n) - 1) ) ):=
begin
split_ifs with h h,
{ simp only [coeff_one, linear_map.map_sub],
have hnm: ¬(m = 0) := by apply ne_of_gt h,
simp only [hnm, sub_zero, if_false] },
simp only [coeff_one, coeff_zero_eq_constant_coeff, linear_map.map_sub],
have hm: m = 0 := by linarith,
rw [hm],
simp only [if_true, eq_self_iff_true, coeff_zero_eq_constant_coeff],
end
lemma minus_one_minus_expk (n:ℕ): (1 - expk n) = - ((expk n) - 1) := by ring
theorem sum_geo_seq (n:ℕ) (φ : (power_series ℚ)):
((finset.range n).sum(λ k, φ^k) * (φ - 1)) = ((φ^n) - 1) :=
begin
induction n with n h,
{ simp only [finset.sum_empty, zero_mul, finset.range_zero, pow_zero, sub_self] },
simp only [finset.sum_range_succ, pow_succ', add_mul ,h],
ring,
end
theorem special_sum_inf_geo_seq (n:ℕ):
(exp ℚ - 1) * (finset.range n).sum(λ k, expk k) = ((expk n) - 1) :=
begin
have hone: ((finset.range n).sum(λ k, (exp ℚ)^k) * ((exp ℚ) - 1)) =
(((exp ℚ)^n) - 1) := sum_geo_seq n ((exp ℚ)),
simp only [expk', mul_comm] at *,
exact hone,
end
theorem expand_fraction (n:ℕ):
(1 - expk n) * X * (exp ℚ - 1) = (1 - exp ℚ) * (expk n - 1) * X := by ring
theorem right_series (n:ℕ):
(expk n - 1) = X*power_series.mk (λ p, n^p.succ/(p.succ.factorial)) :=
begin
ext,
rw [power_series.coeff_mul],
rw [expk_minus_one_coeff],
split_ifs with h_ge_zero h_zero,
rw [expk],
rw [power_series.coeff_mk],
simp only [coeff_X, coeff_mk, nat.factorial, boole_mul, nat.cast_succ,
nat.factorial_succ, nat.cast_mul],
have hnsucc: ∃ (m:ℕ), m.succ = n_1 :=
begin
use n_1 - 1,
exact nat.succ_pred_eq_of_pos h_ge_zero,
end,
cases hnsucc with m hm,
rw [←hm],
rw [finset.nat.sum_antidiagonal_succ],
simp only [add_left_eq_self, nat.factorial, nat.cast_succ,
nat.factorial_succ, if_false, nat.cast_add, zero_add, nat.cast_one,
nat.cast_mul, zero_ne_one],
by_cases hmz: m = 0,
rw [hmz, finset.nat.antidiagonal_zero],
simp,
have hmsucc: ∃ (p:ℕ), p.succ = m :=
begin
have h_ge_zero: m > 0 :=
begin
exact nat.pos_of_ne_zero hmz,
end,
use m - 1,
exact nat.succ_pred_eq_of_pos h_ge_zero,
end,
cases hmsucc with p hp,
rw [←hp, finset.nat.sum_antidiagonal_succ],
by_cases hpz: p = 0,
rw [hpz],
simp only [add_zero, if_true, eq_self_iff_true, add_eq_zero_iff,
if_false, one_ne_zero, finset.sum_const_zero, and_false],
simp only [add_zero, if_true, eq_self_iff_true, nat.cast_succ,
add_eq_zero_iff, if_false, one_ne_zero, finset.sum_const_zero,
and_false],
have hn_1: n_1 = 0 := by linarith,
rw [expk],
simp only [hn_1],
rw [power_series.coeff_mk],
simp,
end
lemma minus_X_fw (φ ψ: power_series ℚ):
(φ = ψ) → (
mk(λ n, (-1)^n*(coeff ℚ n) φ) =
mk(λ n, (-1)^n*(coeff ℚ n) ψ)) :=
begin
rintro rfl,
refl,
end
lemma minus_X (φ ψ: power_series ℚ):
(φ = ψ) ↔ (
mk(λ n, (-1:ℚ)^n*(coeff ℚ n) φ) =
mk(λ n, (-1)^n*(coeff ℚ n) ψ)) :=
begin
split,
{ exact minus_X_fw φ ψ },
intro h,
have g: mk(λ n,
(-1:ℚ)^n*(coeff ℚ n) (mk(λ n, (-1)^n*(coeff ℚ n) φ))) =
mk(λ n,
(-1)^n*(coeff ℚ n) (mk(λ n, (-1)^n*(coeff ℚ n) ψ))) := (minus_X_fw (mk(λ n, (-1)^n*(coeff ℚ n) φ))
(mk(λ n, (-1)^n*(coeff ℚ n) ψ))) h,
simp only [coeff_mk] at g,
simp only [power_series.ext_iff] at g,
simp only [or_self_right, coeff_mk, mul_eq_mul_left_iff] at g,
have hpn: ∀ n:ℕ, ((-1:ℚ)^n) ≠ 0 :=
begin
intro n,
apply pow_ne_zero,
rw [ne.def, neg_eq_zero],
exact one_ne_zero,
end,
simp only [hpn, or_false] at g,
exact power_series.ext_iff.mpr g,
end
lemma minus_X_mul (φ ψ: power_series ℚ):
(mk(λ n, (-1:ℚ)^n*(coeff ℚ n) φ) * mk(λ n, (-1:ℚ)^n*(coeff ℚ n) ψ)) =
mk(λ n, (-1:ℚ)^n*(coeff ℚ n) (φ*ψ)) :=
(ring_hom.map_mul (rescale (-1 : ℚ)) φ ψ).symm
-- useful to have in mathlib?
lemma exp_inv: (exp ℚ) * mk (λ (n : ℕ), (-1) ^ n * (coeff ℚ n) (exp ℚ)) = 1 :=
begin
ext,
rw [coeff_mul],
simp only [one_div, coeff_mk, coeff_one, nat.factorial,
coeff_exp, ring_hom.id_apply, rat.algebra_map_rat_rat],
have zero_pow_ite_fac: 0^n/((n.factorial:ℚ)) =(ite(n=0) (1:ℚ) 0):=
begin
induction n with n hn,
simp only [mul_one, nat.factorial_zero, if_true, eq_self_iff_true,
nat.factorial_one, nat.cast_one, pow_zero],
simp only [div_one],
have hnsucc_zero: ¬ n.succ = 0 := nat.succ_ne_zero n,
simp only [hnsucc_zero, if_false],
have hsuccfac: n.succ.factorial ≠ 0 := ne_of_gt (nat.factorial_pos _),
simp only [nat.succ_pos', div_eq_zero_iff, true_or, zero_pow_eq_zero],
end,
rw [←zero_pow_ite_fac],
have one_minus_one_eq_zero: 1 + (-1) = (0:ℚ) :=
begin
simp only [add_right_neg],
end,
rw [←one_minus_one_eq_zero],
rw [add_pow],
let f:ℕ → ℕ → ℚ := λ a : ℕ, λ b : ℕ,
(((a.factorial))⁻¹ * ((-1) ^ b * ((b.factorial))⁻¹)),
rw [finset.nat.sum_antidiagonal_eq_sum_range_succ f],
have hfacnezero: (n.factorial:ℚ) ≠ 0 := by exact_mod_cast n.factorial_ne_zero,
symmetry,
rw [div_eq_iff hfacnezero],
rw [finset.sum_mul],
have hsucc: n.succ = n + 1 := by refl,
simp only [←hsucc],
refine finset.sum_congr rfl _,
intro m,
intro hm,
simp only [f],
have hmn: m ≤ n :=
begin
rw [finset.mem_range] at hm,
exact nat.le_of_lt_succ hm,
end,
simp only [nat.choose_eq_factorial_div_factorial hmn],
simp only [one_pow, one_mul],
rw ← mul_assoc,
simp only,
ring,
simp only [mul_eq_mul_right_iff],
left,
have hfacprod: ↑(m.factorial * (n - m).factorial) ≠ 0 :=
begin
have hmfacnezero: m.factorial ≠ 0:= ne_of_gt m.factorial_pos,
have hnmfacnezero: (n-m).factorial ≠ 0 :=
begin
have hk: ∃ k, k = n - m:=
begin
simp only [exists_apply_eq_apply],
end,
refine ne_of_gt _,
cases hk with k hk,
have hkfac: k.factorial >0 := k.factorial_pos,
rw hk at hkfac,
exact hkfac,
end,
have hnn: m.factorial * (n - m).factorial ≠ 0
:= mul_ne_zero hmfacnezero hnmfacnezero,
simp [hnn],
end,
rw nat.cast_dvd,
simp only [nat.cast_mul],
rw ←division_def,
rw ←division_def,
rw div_div_eq_div_mul,
simp only [mul_comm],
exact nat.factorial_mul_factorial_dvd_factorial hmn,
simp only [ne.def, nat.cast_eq_zero, mul_eq_zero],
simp only [nat.factorial_ne_zero, not_false_iff, or_self],
end
lemma expmxm1: mk (λ (n : ℕ), (-1:ℚ) ^ n * (coeff ℚ n) (exp ℚ - 1)) =
(1 - exp ℚ)* mk (λ (n : ℕ), (-1) ^ n * (coeff ℚ n) (exp ℚ)) :=
begin
simp only [sub_mul, exp_inv],
ext,
simp only [one_div, coeff_mk, coeff_one, one_mul, coeff_exp,
ring_hom.id_apply, linear_map.map_sub, rat.algebra_map_rat_rat],
cases n,
simp only [mul_one, nat.factorial_zero, if_true, eq_self_iff_true,
nat.factorial_one, inv_one, nat.cast_one, mul_zero, pow_zero, sub_self],
simp only [n.succ_ne_zero, sub_zero, if_false],
end
variables {R : Type*} [ring R]
@[simp] lemma neg_one_pow_succ_succ {m : ℕ} : (-1 : R)^m.succ.succ = (-1)^m :=
begin
change _ ^ (m + 2) = _,
simp [pow_add],
end
@[simp] lemma neg_one_pow_succ_of_odd {m : ℕ}: (-1 : R) ^ (m + 1) = -(-1)^m :=
by simp [pow_add]
#check @power_series.coeff_zero_mul_X
#check @power_series.coeff_zero_X_mul
lemma power_series.coeff_zero_X_mul (φ : power_series R) : coeff R 0 (φ * X) = 0
:= by simp
lemma aux_exp2: mk (λ (n : ℕ), (-1:ℚ) ^ n * (coeff ℚ n) (X * exp ℚ)) =
(-X)*mk (λ (n : ℕ), (-1) ^ n * (coeff ℚ n) (exp ℚ)) :=
begin
ext n,
cases n,
{ simp only [←neg_mul_eq_neg_mul, power_series.coeff_zero_X_mul, coeff_mk,
linear_map.map_neg, mul_zero, neg_zero],
simp only [zero_mul, constant_coeff_X, coeff_zero_eq_constant_coeff,
mul_zero, ring_hom.map_mul, neg_zero], },
rw [mul_comm X, ←neg_mul_eq_neg_mul, mul_comm X, linear_map.map_neg],
simp only [coeff_succ_mul_X, neg_mul_eq_neg_mul_symm, neg_one_pow_succ_of_odd, coeff_mk],
end
-- useful to have in mathlib?
theorem bernoulli_power_series':
(exp ℚ - 1) * power_series.mk (λ n,
((-1)^n * bernoulli n / nat.factorial n : ℚ)) = X :=
begin
have h: power_series.mk (λ n, (bernoulli n / nat.factorial n : ℚ)) * (exp ℚ - 1)
= X * exp ℚ :=
begin
simp only [bernoulli_power_series],
end,
rw [minus_X, ←minus_X_mul, expmxm1, aux_exp2] at h,
let f1 := mk (λ (n : ℕ), (-1:ℚ) ^ n * (coeff ℚ n) (mk (λ (n : ℕ), bernoulli n / ↑(n.factorial)))),
let f2 := 1 - exp ℚ,
have hf2 : f2 = 1 - exp ℚ := by refl,
let f3 := mk (λ (n : ℕ), (-1) ^ n * (coeff ℚ n) (exp ℚ)),
rw [←(mul_assoc f1 f2 f3)] at h,
have hf3: f3 = mk (λ (n : ℕ), (-1) ^ n * (coeff ℚ n) (exp ℚ)) := by refl,
rw [←hf3] at h,
have hf3_nonzero: f3 ≠ 0 :=
begin
rw [hf3],
simp [power_series.ext_iff],
use 1,
simp,
end,
have g: f1*f2 = -X :=
begin
apply mul_right_cancel' hf3_nonzero h,
end,
have hf1: f1 = mk (λ (n : ℕ), (-1:ℚ) ^ n * (coeff ℚ n) (mk (λ (n : ℕ), bernoulli n / ↑(n.factorial)))) := by refl,
simp only [coeff_mk] at hf1,
have hf1': f1 = mk (λ (n : ℕ), (-1) ^ n * bernoulli n / ↑(n.factorial)) :=
begin
simp only [hf1],
simp only [ext_iff, coeff_mk],
intro n,
rw [mul_div_assoc],
end,
rw [←hf1'],
have hf2': - f2 = (exp ℚ - 1) :=
begin
rw [hf2],
ring,
end,
rw [←hf2', ←neg_one_mul, mul_assoc, mul_comm f2, g],
simp only [neg_mul_eq_neg_mul_symm, one_mul, neg_neg],
end
theorem cauchy_prod (n:ℕ):
power_series.mk (λ n,
((-1)^n* bernoulli n / nat.factorial n : ℚ))*
power_series.mk (λ p, (n:ℚ)^p.succ/(p.succ.factorial)) =
power_series.mk (λp,
((finset.range p.succ).sum(λ i,
(-1)^i*(bernoulli i)*(p.succ.choose i)*n^(p + 1 - i)/((p.factorial)*(p + 1))))) :=
begin
ext q,
rw [power_series.coeff_mul],
simp only [coeff_mk, coeff_mk, nat.factorial, nat.cast_succ,
nat.factorial_succ, nat.cast_mul],
let f: ℕ → ℕ → ℚ := λ (a : ℕ), λ (b: ℕ),
(-1) ^ a * bernoulli a / ↑(a.factorial) *
(↑n ^ b.succ / ((↑(b) + 1) * ↑(b.factorial))),
rw [finset.nat.sum_antidiagonal_eq_sum_range_succ f],
have h: ∀ k:ℕ, (k ∈ (finset.range q.succ)) →
(f k (q - k) = (-1) ^ k * bernoulli k * ↑(q.succ.choose k) *
↑n ^ (q + 1 - k) / (↑(q.factorial) * (↑q + 1)) ):=
begin
simp only [finset.mem_range],
intros k g,
simp [f],
ring,
have hfac:
((↑(q - k) + 1) * ↑((q - k).factorial))⁻¹ * ↑n ^ (q - k).succ * (↑(k.factorial))⁻¹ =
(↑(q.factorial) * (↑q + (1:ℚ )))⁻¹ * ↑n ^ (q + 1 - k) * ↑(q.succ.choose k):=
begin
have exp_succ: (q - k).succ = (q + 1 - k) := by omega,
rw [exp_succ],
have h_choose: (q.succ.choose k) =
((q + 1).factorial)/((k.factorial)*(q + 1 - k).factorial) :=
begin
rw nat.choose_eq_factorial_div_factorial,
exact le_of_lt g,
end,
rw [h_choose],
have h_exp_fac2: (q + 1 - k).factorial
=((((q - k)).factorial)*(q - k +1)) :=
begin
have hqk1: q -k + 1 = (q - k).succ := by refl,
rw [hqk1, nat.mul_comm, ←nat.factorial_succ],
have hq1: q + 1 - k = (q - k).succ := eq.symm exp_succ,
rw [hq1],
end,
rw [h_exp_fac2, mul_comm ↑(q.factorial)],
have hqqsucc: (q:ℚ) + 1 = q.succ := by rw [←nat.cast_succ],
have hqqsucc': (q:ℕ) + 1 = q.succ := by simp,
simp only [hqqsucc],
have hcoeq: ((q.succ):ℚ) * ((q.factorial):ℚ) =(((q.succ.factorial:ℕ)):ℚ) := by norm_cast,
rw [hcoeq, mul_comm (↑(q.succ.factorial))⁻¹ , mul_assoc ((n:ℚ) ^ (q + 1 - k))],
simp only [div_eq_mul_inv],
rw [hqqsucc'],
have hqsuccnezero: q.succ ≠ 0 := by contradiction,
rw [mul_assoc, inv_eq_one_div ↑(q.succ.factorial), ← division_def, div_eq_mul_one_div],
have hfacprod: ↑(k.factorial * (q + 1 - k).factorial) ≠ 0 :=
begin
have hmfacnezero: k.factorial ≠ 0:= ne_of_gt k.factorial_pos,
have hnmfacnezero: (q + 1 - k).factorial ≠ 0 :=
begin
have hm: ∃ m, m = q + 1 - k:=
begin
simp only [exists_apply_eq_apply],
end,
refine ne_of_gt _,
cases hm with m hm,
have hmfac: m.factorial >0 := m.factorial_pos,
rw hm at hmfac,
exact hmfac,
end,
have hnn: k.factorial * (q + 1 - k).factorial ≠ 0 := mul_ne_zero hmfacnezero hnmfacnezero,
simp only [hnn, nat.cast_id, ne.def, not_false_iff],
end,
rw [←h_exp_fac2, nat.cast_dvd],
simp only [← mul_div_assoc],
rw [one_div_mul_cancel, ←nat.cast_add_one, ←nat.cast_mul,
mul_comm (q - k + 1) _, ← h_exp_fac2, mul_comm, ← division_def,
div_div_eq_div_mul, nat.cast_mul, mul_comm (↑(k.factorial)) _],
simp,
rw not_or_distrib,
split,
refine ne.elim _,
exact nat.cast_add_one_ne_zero q,
refine ne.elim _,
exact nat.factorial_ne_zero q,
rw hqqsucc',
exact nat.factorial_mul_factorial_dvd_factorial (nat.le_of_lt g),
simp only [ne.def, nat.cast_eq_zero, mul_eq_zero],
simp only [nat.factorial_ne_zero, not_false_iff, or_self],
end,
rw [hfac],
end,
refine finset.sum_congr rfl _,
exact h,
end
theorem power_series_equal (n:ℕ):
(power_series.mk (λ p, (finset.range n).sum(λk, (k:ℚ)^p)/(p.factorial))) =
(power_series.mk (λ p,((finset.range p.succ).sum(λ i,
(-1)^i*(bernoulli i)*(p.succ.choose i)*n^(p + 1 - i)/((p.factorial)*(p + 1)))))) :=
begin
let left := (power_series.mk (λ p, (finset.range n).sum(λk, (k:ℚ)^p)/(p.factorial))) ,
have hleft: left =(power_series.mk (λ p, (finset.range n).sum(λk, (k:ℚ)^p)/(p.factorial))) := by refl,
let right := (power_series.mk (λ p,((finset.range p.succ).sum(λ i,
(-1)^i*(bernoulli i)*(p.succ.choose i)*n^(p + 1 - i)/((p.factorial)*(p + 1)))))),
have hright: right =(power_series.mk (λ p,((finset.range p.succ).sum(λ i,
(-1)^i*(bernoulli i)*(p.succ.choose i)*n^(p + 1 - i)/((p.factorial)*(p + 1)))))) := by refl,
have h: (exp ℚ - 1)*left = (exp ℚ - 1)*right :=
begin
rw [hleft, ←expand_tonelli],
have hfin: (finset.range n).sum (λ (k : ℕ),
mk (λ (n : ℕ), (k:ℚ) ^ n / ↑(n.factorial))) =
(finset.range n).sum(λ k, expk k) :=
begin
simp only [expkrw],
end,
rw [hfin, special_sum_inf_geo_seq, right_series, ←bernoulli_power_series',
mul_assoc, cauchy_prod],
end,
have hexpnezero: (exp ℚ - 1) ≠ 0 :=
begin
rw [exp],
simp only [ext_iff, linear_map.map_zero, one_div, coeff_mk, coeff_one,
ring_hom.id_apply, linear_map.map_sub, ne.def, not_forall,
rat.algebra_map_rat_rat],
use 1,
simp only [nat.factorial_one, sub_zero, if_false, inv_one, not_false_iff,
one_ne_zero, nat.cast_one],
end,
apply mul_left_cancel' hexpnezero h,
end
theorem faulhaber_long' (n: ℕ): ∀p,
(coeff ℚ p) (power_series.mk (λ p, (finset.range n).sum(λk, (k:ℚ)^p)/(p.factorial))) =
(coeff ℚ p) (power_series.mk (λp,
((finset.range p.succ).sum(λ i, (-1)^i*(bernoulli i)*
(p.succ.choose i)*n^(p + 1 - i)/((p.factorial)*(p + 1)))))) :=
begin
exact power_series.ext_iff.mp (power_series_equal n),
end
theorem faulhaber' (n p:ℕ):
(finset.range n).sum(λk, (k:ℚ)^p) =
((finset.range p.succ).sum(λ i,
(-1)^i*(bernoulli i)*(p.succ.choose i)*n^(p + 1 - i)/p.succ)) :=
begin
have hfaulhaber_long': (coeff ℚ p) (power_series.mk (λ p, (finset.range n).sum(λk, (k:ℚ)^p)/(p.factorial))) =
(coeff ℚ p) (power_series.mk (λp,
((finset.range p.succ).sum(λ i, (-1)^i*(bernoulli i)*
(p.succ.choose i)*n^(p + 1 - i)/((p.factorial)*(p + 1)) )))) := faulhaber_long' n p,
simp only [power_series.coeff_mk] at hfaulhaber_long',
rw [div_eq_mul_inv, mul_comm ((p.factorial):ℚ ) _] at hfaulhaber_long',
have hfl: (finset.range n).sum (λ (k : ℕ), ↑k ^ p) * (↑(p.factorial))⁻¹ =
((finset.range p.succ).sum
(λ (i : ℕ), (-1) ^ i * bernoulli i * ↑(p.succ.choose i) * ↑n ^ (p + 1 - i))
/ ((↑p + 1) * ↑(p.factorial))) :=
begin
simp [hfaulhaber_long'],
rw div_eq_mul_one_div,
simp only [finset.sum_mul, one_div],
refine finset.sum_congr _ _,
refl,
intros k hk,
rw [div_eq_mul_one_div, one_div],
end,
clear hfaulhaber_long',
rw [div_mul_eq_div_mul_one_div ] at hfl,
simp at hfl,
have hp: (p.factorial) ≠ 0:= nat.factorial_ne_zero p,
cases hfl,
simp only [nat.cast_succ],
rw [hfl, div_eq_mul_one_div],
simp only [finset.sum_mul, one_div],
refine finset.sum_congr _ _,
refl,
intro k,
intro hk,
rw [div_eq_mul_one_div, one_div],
by_contradiction,
exact hp hfl,
end
-- useful to have in mathlib?
lemma bernoulli_fst_snd (n:ℕ): 1 < n → bernoulli n = (-1)^n * bernoulli n :=
begin
intro hn,
by_cases odd n,
rw [bernoulli_odd_eq_zero h hn],
simp only [mul_zero],
have heven: even n := nat.even_iff_not_odd.mpr h,
have heven_power: even n → (-(1:ℚ))^n = 1 := nat.neg_one_pow_of_even,
rw [heven_power heven],
simp only [one_mul],
end
lemma faulhaber (n:ℕ) (p:ℕ) (hp: 0 <p):
(finset.range n.succ).sum (λ k, ↑k^p) =
((finset.range p.succ).sum (λ j, ((bernoulli j)*(nat.choose p.succ j))
*n^(p + 1 - j)/(p.succ))) :=
begin
rw [finset.sum_range_succ, faulhaber' n p],
have h2: (1:ℕ).succ ≤ p.succ :=
begin
apply nat.succ_le_succ,
exact nat.one_le_of_lt hp,
end,
rw [finset.range_eq_Ico],
have hsplit:
finset.Ico 0 (1:ℕ).succ ∪ finset.Ico (1:ℕ).succ p.succ =
finset.Ico 0 p.succ :=
finset.Ico.union_consecutive (nat.zero_le (1:ℕ).succ) h2,
have hdisjoint:
disjoint (finset.Ico 0 (1:ℕ).succ) (finset.Ico (1:ℕ).succ p.succ) :=
finset.Ico.disjoint_consecutive 0 (1:ℕ).succ p.succ,
rw [←hsplit, finset.sum_union hdisjoint, ←finset.range_eq_Ico,
finset.sum_range_succ],
have h_zeroth_summand:
(finset.range (1:ℕ)).sum (λ (x : ℕ), (-1) ^ x * bernoulli x *
↑(p.succ.choose x) * ↑n ^ (p + 1 - x) / ↑(p.succ)) =
(finset.range 1).sum (λ (x : ℕ), bernoulli x *
↑(p.succ.choose x) * ↑n ^ (p + 1 - x) / ↑(p.succ)) :=
begin
simp only [one_mul, finset.sum_singleton, finset.range_one, pow_zero],
end,
have h_fst_summand'':
(n:ℚ)^p*(p.succ) + (((-1) ^ 1) * (bernoulli 1) * (p.succ.choose 1) * n ^(p + 1 - 1)) =
((bernoulli 1) * (p.succ.choose 1) * n ^(p + 1 - 1)) :=
begin
simp only [neg_mul_eq_neg_mul_symm, one_div, bernoulli_one,
neg_one_pow_succ_of_odd, nat.add_succ_sub_one, add_zero, one_mul,
nat.choose_one_right, nat.cast_succ, pow_zero],
ring,
end,
have h_fst_summand':
((n:ℚ)^p*(p.succ) + (((-1) ^ 1) * (bernoulli 1) * (p.succ.choose 1) * n ^(p + 1 - 1)))/p.succ =
((bernoulli 1) * (p.succ.choose 1) * n ^(p + 1 - 1))/p.succ :=
begin
rw [←h_fst_summand''],
end,
have h_fst_summand:
(n:ℚ)^p + (((-1) ^ 1) * (bernoulli 1) * (p.succ.choose 1) * n ^(p + 1 - 1))/p.succ =
((bernoulli 1) * (p.succ.choose 1) * n ^(p + 1 - 1))/p.succ :=
begin
rw [←h_fst_summand', eq_div_iff_mul_eq],
simp only [neg_mul_eq_neg_mul_symm, one_div, bernoulli_one,
neg_one_pow_succ_of_odd, nat.add_succ_sub_one, add_zero, one_mul,
nat.choose_one_right, nat.cast_succ, pow_zero],
rw [add_mul],
simp only [add_right_inj],
rw [neg_div, neg_mul_eq_neg_mul_symm, mul_assoc],
have hpnezero: (p.succ:ℚ) ≠ 0 :=
begin
apply ne_of_gt,
simp only [gt_iff_lt, nat.cast_succ],
exact nat.cast_add_one_pos _,
end,
simp only [neg_inj],
{ field_simp, ring },
apply ne_of_gt,
simp only [gt_iff_lt, nat.cast_succ],
exact nat.cast_add_one_pos _,
end,
have h_large_summands:
(finset.Ico (1:ℕ).succ p.succ).sum (λ (x : ℕ), (-1) ^ x * bernoulli x
* ↑(p.succ.choose x) * ↑n ^ (p + 1 - x) / ↑(p.succ)) =
(finset.Ico (1:ℕ).succ p.succ).sum (λ (x : ℕ), bernoulli x
* ↑(p.succ.choose x) * ↑n ^ (p + 1 - x) / ↑(p.succ)) :=
begin
refine finset.sum_congr _ _,
refl,
intros x hin,
have h1x: 1 < x :=
begin
rw [finset.Ico.mem] at hin,
exact_mod_cast hin.1,
end,
rw [←bernoulli_fst_snd x h1x],
end,
simp only [←add_assoc, h_zeroth_summand, h_fst_summand, h_large_summands],
simp only [←(finset.sum_range_succ (λ (x : ℕ), bernoulli x * ↑(p.succ.choose x) *
↑n ^ (p + 1 - x) / ↑(p.succ)) 1)],
rw [finset.range_eq_Ico],
have honeone: 1 + 1 = (1:ℕ).succ := rfl,
rw [honeone, ←finset.sum_union hdisjoint],
end
|
b521737b9c83a9c1e01fe54461c94dba2d7cd93e | 35677d2df3f081738fa6b08138e03ee36bc33cad | /src/data/equiv/mul_add.lean | 006f3da6b67284e64d5a649a5016e5885042bc53 | [
"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 | 9,211 | lean | /-
Copyright (c) 2018 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Callum Sutton, Yury Kudryashov
-/
import data.equiv.basic algebra.group.hom deprecated.group
/-!
# Multiplicative and additive equivs
In this file we define two extensions of `equiv` called `add_equiv` and `mul_equiv`, which are
datatypes representing isomorphisms of `add_monoid`s/`add_group`s and `monoid`s/`group`s. We also
introduce the corresponding groups of automorphisms `add_aut` and `mul_aut`.
## Notations
The extended equivs all have coercions to functions, and the coercions are the canonical
notation when treating the isomorphisms as maps.
## Implementation notes
The fields for `mul_equiv`, `add_equiv` now avoid the unbundled `is_mul_hom` and `is_add_hom`, as
these are deprecated.
Definition of multiplication in the groups of automorphisms agrees with function composition,
multiplication in `equiv.perm`, and multiplication in `category_theory.End`, not with
`category_theory.comp`.
## Tags
equiv, mul_equiv, add_equiv, mul_aut, add_aut
-/
variables {A : Type*} {B : Type*} {M : Type*} {N : Type*} {P : Type*} {G : Type*} {H : Type*}
set_option old_structure_cmd true
/-- add_equiv α β is the type of an equiv α ≃ β which preserves addition. -/
structure add_equiv (A B : Type*) [has_add A] [has_add B] extends A ≃ B :=
(map_add' : ∀ x y : A, to_fun (x + y) = to_fun x + to_fun y)
/-- `mul_equiv α β` is the type of an equiv `α ≃ β` which preserves multiplication. -/
@[to_additive]
structure mul_equiv (M N : Type*) [has_mul M] [has_mul N] extends M ≃ N :=
(map_mul' : ∀ x y : M, to_fun (x * y) = to_fun x * to_fun y)
infix ` ≃* `:25 := mul_equiv
infix ` ≃+ `:25 := add_equiv
namespace mul_equiv
@[to_additive]
instance [has_mul M] [has_mul N] : has_coe_to_fun (M ≃* N) := ⟨_, mul_equiv.to_fun⟩
variables [has_mul M] [has_mul N] [has_mul P]
/-- A multiplicative isomorphism preserves multiplication (canonical form). -/
@[to_additive]
lemma map_mul (f : M ≃* N) : ∀ x y, f (x * y) = f x * f y := f.map_mul'
/-- A multiplicative isomorphism preserves multiplication (deprecated). -/
@[to_additive]
instance (h : M ≃* N) : is_mul_hom h := ⟨h.map_mul⟩
/-- Makes a multiplicative isomorphism from a bijection which preserves multiplication. -/
@[to_additive]
def mk' (f : M ≃ N) (h : ∀ x y, f (x * y) = f x * f y) : M ≃* N :=
⟨f.1, f.2, f.3, f.4, h⟩
/-- The identity map is a multiplicative isomorphism. -/
@[refl, to_additive]
def refl (M : Type*) [has_mul M] : M ≃* M :=
{ map_mul' := λ _ _, rfl,
..equiv.refl _}
/-- The inverse of an isomorphism is an isomorphism. -/
@[symm, to_additive]
def symm (h : M ≃* N) : N ≃* M :=
{ map_mul' := λ n₁ n₂, function.injective_of_left_inverse h.left_inv begin
show h.to_equiv (h.to_equiv.symm (n₁ * n₂)) =
h ((h.to_equiv.symm n₁) * (h.to_equiv.symm n₂)),
rw h.map_mul,
show _ = h.to_equiv (_) * h.to_equiv (_),
rw [h.to_equiv.apply_symm_apply, h.to_equiv.apply_symm_apply, h.to_equiv.apply_symm_apply], end,
..h.to_equiv.symm}
@[simp, to_additive]
theorem to_equiv_symm (f : M ≃* N) : f.symm.to_equiv = f.to_equiv.symm := rfl
/-- Transitivity of multiplication-preserving isomorphisms -/
@[trans, to_additive]
def trans (h1 : M ≃* N) (h2 : N ≃* P) : (M ≃* P) :=
{ map_mul' := λ x y, show h2 (h1 (x * y)) = h2 (h1 x) * h2 (h1 y),
by rw [h1.map_mul, h2.map_mul],
..h1.to_equiv.trans h2.to_equiv }
/-- e.right_inv in canonical form -/
@[simp, to_additive]
lemma apply_symm_apply (e : M ≃* N) : ∀ y, e (e.symm y) = y :=
e.to_equiv.apply_symm_apply
/-- e.left_inv in canonical form -/
@[simp, to_additive]
lemma symm_apply_apply (e : M ≃* N) : ∀ x, e.symm (e x) = x :=
e.to_equiv.symm_apply_apply
/-- a multiplicative equiv of monoids sends 1 to 1 (and is hence a monoid isomorphism) -/
@[simp, to_additive]
lemma map_one {M N} [monoid M] [monoid N] (h : M ≃* N) : h 1 = 1 :=
by rw [←mul_one (h 1), ←h.apply_symm_apply 1, ←h.map_mul, one_mul]
@[simp, to_additive]
lemma map_eq_one_iff {M N} [monoid M] [monoid N] (h : M ≃* N) {x : M} :
h x = 1 ↔ x = 1 :=
h.map_one ▸ h.to_equiv.apply_eq_iff_eq x 1
@[to_additive]
lemma map_ne_one_iff {M N} [monoid M] [monoid N] (h : M ≃* N) {x : M} :
h x ≠ 1 ↔ x ≠ 1 :=
⟨mt h.map_eq_one_iff.2, mt h.map_eq_one_iff.1⟩
/--
Extract the forward direction of a multiplicative equivalence
as a multiplication preserving function.
-/
@[to_additive to_add_monoid_hom]
def to_monoid_hom {M N} [monoid M] [monoid N] (h : M ≃* N) : (M →* N) :=
{ map_one' := h.map_one, .. h }
@[simp, to_additive]
lemma to_monoid_hom_apply {M N} [monoid M] [monoid N] (e : M ≃* N) (x : M) :
e.to_monoid_hom x = e x :=
rfl
/-- A multiplicative equivalence of groups preserves inversion. -/
@[to_additive]
lemma map_inv [group G] [group H] (h : G ≃* H) (x : G) : h x⁻¹ = (h x)⁻¹ :=
h.to_monoid_hom.map_inv x
/-- A multiplicative bijection between two monoids is a monoid hom
(deprecated -- use to_monoid_hom). -/
@[to_additive is_add_monoid_hom]
instance is_monoid_hom {M N} [monoid M] [monoid N] (h : M ≃* N) : is_monoid_hom h :=
⟨h.map_one⟩
/-- A multiplicative bijection between two groups is a group hom
(deprecated -- use to_monoid_hom). -/
@[to_additive is_add_group_hom]
instance is_group_hom {G H} [group G] [group H] (h : G ≃* H) :
is_group_hom h := { map_mul := h.map_mul }
/-- Two multiplicative isomorphisms agree if they are defined by the
same underlying function. -/
@[ext, to_additive
"Two additive isomorphisms agree if they are defined by the same underlying function."]
lemma ext {f g : mul_equiv M N} (h : ∀ x, f x = g x) : f = g :=
begin
have h₁ := equiv.ext f.to_equiv g.to_equiv h,
cases f, cases g, congr,
{ exact (funext h) },
{ exact congr_arg equiv.inv_fun h₁ }
end
attribute [ext] add_equiv.ext
end mul_equiv
/-- An additive equivalence of additive groups preserves subtraction. -/
lemma add_equiv.map_sub [add_group A] [add_group B] (h : A ≃+ B) (x y : A) :
h (x - y) = h x - h y :=
h.to_add_monoid_hom.map_sub x y
/-- The group of multiplicative automorphisms. -/
@[to_additive "The group of additive automorphisms."]
def mul_aut (M : Type*) [has_mul M] := M ≃* M
namespace mul_aut
variables (M) [has_mul M]
/--
The group operation on multiplicative automorphisms is defined by
`λ g h, mul_equiv.trans h g`.
This means that multiplication agrees with composition, `(g*h)(x) = g (h x)`.
-/
instance : group (mul_aut M) :=
by refine_struct
{ mul := λ g h, mul_equiv.trans h g,
one := mul_equiv.refl M,
inv := mul_equiv.symm };
intros; ext; try { refl }; apply equiv.left_inv
instance : inhabited (mul_aut M) := ⟨1⟩
/-- Monoid hom from the group of multiplicative automorphisms to the group of permutations. -/
def to_perm : mul_aut M →* equiv.perm M :=
by refine_struct { to_fun := mul_equiv.to_equiv }; intros; refl
end mul_aut
namespace add_aut
variables (A) [has_add A]
/--
The group operation on additive automorphisms is defined by
`λ g h, mul_equiv.trans h g`.
This means that multiplication agrees with composition, `(g*h)(x) = g (h x)`.
-/
instance group : group (add_aut A) :=
by refine_struct
{ mul := λ g h, add_equiv.trans h g,
one := add_equiv.refl A,
inv := add_equiv.symm };
intros; ext; try { refl }; apply equiv.left_inv
instance : inhabited (add_aut A) := ⟨1⟩
/-- Monoid hom from the group of multiplicative automorphisms to the group of permutations. -/
def to_perm : add_aut A →* equiv.perm A :=
by refine_struct { to_fun := add_equiv.to_equiv }; intros; refl
end add_aut
/-- A group is isomorphic to its group of units. -/
def to_units (G) [group G] : G ≃* units G :=
{ to_fun := λ x, ⟨x, x⁻¹, mul_inv_self _, inv_mul_self _⟩,
inv_fun := coe,
left_inv := λ x, rfl,
right_inv := λ u, units.ext rfl,
map_mul' := λ x y, units.ext rfl }
namespace units
variables [monoid M] [monoid N] [monoid P]
/-- A multiplicative equivalence of monoids defines a multiplicative equivalence
of their groups of units. -/
def map_equiv (h : M ≃* N) : units M ≃* units N :=
{ inv_fun := map h.symm.to_monoid_hom,
left_inv := λ u, ext $ h.left_inv u,
right_inv := λ u, ext $ h.right_inv u,
.. map h.to_monoid_hom }
end units
namespace equiv
section group
variables [group G]
@[to_additive]
protected def mul_left (a : G) : perm G :=
{ to_fun := λx, a * x,
inv_fun := λx, a⁻¹ * x,
left_inv := assume x, show a⁻¹ * (a * x) = x, from inv_mul_cancel_left a x,
right_inv := assume x, show a * (a⁻¹ * x) = x, from mul_inv_cancel_left a x }
@[to_additive]
protected def mul_right (a : G) : perm G :=
{ to_fun := λx, x * a,
inv_fun := λx, x * a⁻¹,
left_inv := assume x, show (x * a) * a⁻¹ = x, from mul_inv_cancel_right x a,
right_inv := assume x, show (x * a⁻¹) * a = x, from inv_mul_cancel_right x a }
variable (G)
@[to_additive]
protected def inv : perm G :=
{ to_fun := λa, a⁻¹,
inv_fun := λa, a⁻¹,
left_inv := assume a, inv_inv a,
right_inv := assume a, inv_inv a }
end group
end equiv
|
5e5d82dfed0c2fcb0482ffb0fde8a56265e49269 | abd85493667895c57a7507870867b28124b3998f | /src/linear_algebra/affine_space.lean | 0f0dad89f7b567c277a53d474aea68cf1a7e1ed1 | [
"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 | 11,163 | lean | /-
Copyright (c) 2020 Joseph Myers. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Author: Joseph Myers.
-/
import algebra.add_torsor
import linear_algebra.basis
noncomputable theory
/-!
# Affine spaces
This file defines affine spaces (over modules) and subspaces, affine
maps, and the affine span of a set of points.
## Implementation notes
This file is very minimal and many things are surely omitted. Most
results can be deduced from corresponding results for modules or
vector spaces. The variables `k` and `V` are explicit rather than
implicit arguments to lemmas because otherwise the elaborator
sometimes has problems inferring appropriate types and type class
instances. Definitions of affine spaces vary as to whether a space
with no points is permitted; here, we require a nonempty type of
points (via the definition of torsors requiring a nonempty type).
## References
* https://en.wikipedia.org/wiki/Affine_space
* https://en.wikipedia.org/wiki/Principal_homogeneous_space
-/
/-- `affine_space` is an abbreviation for `add_torsor` in the case
where the group is a vector space, or more generally a module, but we
omit the type classes `[ring k]` and `[module k V]` in the type
synonym itself to simplify type class search.. -/
@[nolint unused_arguments]
abbreviation affine_space (k : Type*) (V : Type*) (P : Type*) [add_comm_group V] :=
add_torsor V P
namespace affine_space
open add_action
open add_torsor
variables (k : Type*) (V : Type*) {P : Type*} [ring k] [add_comm_group V] [module k V]
variables [S : affine_space k V P]
include S
/-- The submodule spanning the differences of a (possibly empty) set
of points. -/
def vector_span (s : set P) : submodule k V := submodule.span k (vsub_set V s)
/-- The points in the affine span of a (possibly empty) set of
points. Use `affine_span` instead to get an `affine_subspace k V P`,
if the set of points is known to be nonempty. -/
def span_points (s : set P) : set P :=
{p | ∃ p1 ∈ s, ∃ v ∈ (vector_span k V s), p = v +ᵥ p1}
/-- A point in a set is in its affine span. -/
lemma mem_span_points (p : P) (s : set P) : p ∈ s → p ∈ span_points k V s
| hp := ⟨p, hp, 0, submodule.zero _, (zero_vadd V p).symm⟩
/-- The set of points in the affine span of a nonempty set of points
is nonempty. -/
lemma span_points_nonempty_of_nonempty {s : set P} :
s.nonempty → (span_points k V s).nonempty
| ⟨p, hp⟩ := ⟨p, mem_span_points k V p s hp⟩
/-- Adding a point in the affine span and a vector in the spanning
submodule produces a point in the affine span. -/
lemma vadd_mem_span_points_of_mem_span_points_of_mem_vector_span {s : set P} {p : P} {v : V}
(hp : p ∈ span_points k V s) (hv : v ∈ vector_span k V s) : v +ᵥ p ∈ span_points k V s :=
begin
rcases hp with ⟨p2, ⟨hp2, ⟨v2, ⟨hv2, hv2p⟩⟩⟩⟩,
rw [hv2p, vadd_assoc],
use [p2, hp2, v + v2, (vector_span k V s).add hv hv2, rfl]
end
/-- Subtracting two points in the affine span produces a vector in the
spanning submodule. -/
lemma vsub_mem_vector_span_of_mem_span_points_of_mem_span_points {s : set P} {p1 p2 : P}
(hp1 : p1 ∈ span_points k V s) (hp2 : p2 ∈ span_points k V s) :
p1 -ᵥ p2 ∈ vector_span k V s :=
begin
rcases hp1 with ⟨p1a, ⟨hp1a, ⟨v1, ⟨hv1, hv1p⟩⟩⟩⟩,
rcases hp2 with ⟨p2a, ⟨hp2a, ⟨v2, ⟨hv2, hv2p⟩⟩⟩⟩,
rw [hv1p, hv2p, vsub_vadd_eq_vsub_sub V (v1 +ᵥ p1a), vadd_vsub_assoc, add_comm, add_sub_assoc],
have hv1v2 : v1 - v2 ∈ vector_span k V s,
{ apply (vector_span k V s).add hv1,
rw ←neg_one_smul k v2,
exact (vector_span k V s).smul (-1 : k) hv2 },
refine (vector_span k V s).add _ hv1v2,
unfold vector_span,
change p1a -ᵥ p2a ∈ submodule.span k (vsub_set V s),
have hp1p2 : p1a -ᵥ p2a ∈ vsub_set V s, { use [p1a, hp1a, p2a, hp2a] },
have hp1p2s : vsub_set V s ⊆ submodule.span k (vsub_set V s) := submodule.subset_span,
apply set.mem_of_mem_of_subset hp1p2 hp1p2s
end
end affine_space
open add_torsor affine_space
/-- An `affine_subspace k V P` is a subset of an `affine_space k V P`
that has an affine space structure induced by a corresponding subspace
of the `module k V`. -/
structure affine_subspace (k : Type*) (V : Type*) (P : Type*) [ring k] [add_comm_group V]
[module k V] [affine_space k V P] :=
(carrier : set P)
(direction : submodule k V)
(nonempty : carrier.nonempty)
(add : ∀ (p : P) (v : V), p ∈ carrier → v ∈ direction → v +ᵥ p ∈ carrier)
(sub : ∀ (p1 p2 : P), p1 ∈ carrier → p2 ∈ carrier → p1 -ᵥ p2 ∈ direction)
namespace affine_subspace
variables (k : Type*) (V : Type*) (P : Type*) [ring k] [add_comm_group V] [module k V]
[S : affine_space k V P]
include S
instance : has_coe (affine_subspace k V P) (set P) := ⟨carrier⟩
instance : has_mem P (affine_subspace k V P) := ⟨λ p s, p ∈ (s : set P)⟩
/-- A point is in an affine subspace coerced to a set if and only if
it is in that affine subspace. -/
@[simp] lemma mem_coe (p : P) (s : affine_subspace k V P) :
p ∈ (s : set P) ↔ p ∈ s :=
iff.rfl
/-- The whole affine space as a subspace of itself. -/
def univ : affine_subspace k V P :=
{ carrier := set.univ,
direction := submodule.span k set.univ,
nonempty := set.nonempty_iff_univ_nonempty.1 S.nonempty,
add := λ p v hp hv, set.mem_univ _,
sub := begin
intros p1 p2 hp1 hp2,
apply set.mem_bInter,
intros x hx,
rw set.mem_set_of_eq at hx,
exact set.mem_of_mem_of_subset (set.mem_univ _) hx
end }
/-- `univ`, coerced to a set, is the whole set of points. -/
@[simp] lemma univ_coe : (univ k V P : set P) = set.univ :=
rfl
/-- All points are in `univ`. -/
lemma mem_univ (p : P) : p ∈ univ k V P :=
set.mem_univ p
instance : inhabited (affine_subspace k V P) := ⟨univ k V P⟩
end affine_subspace
section affine_span
variables (k : Type*) (V : Type*) (P : Type*) [ring k] [add_comm_group V] [module k V]
[affine_space k V P]
/-- The affine span of a nonempty set of points is the smallest affine
subspace containing those points. (Actually defined here in terms of
spans in modules.) -/
def affine_span (s : set P) (h : s.nonempty) : affine_subspace k V P :=
{ carrier := span_points k V s,
direction := vector_span k V s,
nonempty := span_points_nonempty_of_nonempty k V h,
add := λ p v hp hv, vadd_mem_span_points_of_mem_span_points_of_mem_vector_span k V hp hv,
sub := λ p1 p2 hp1 hp2, vsub_mem_vector_span_of_mem_span_points_of_mem_span_points k V hp1 hp2 }
/-- The affine span, converted to a set, is `span_points`. -/
@[simp] lemma affine_span_coe (s : set P) (h : s.nonempty) :
(affine_span k V P s h : set P) = span_points k V s :=
rfl
/-- A point in a set is in its affine span. -/
lemma affine_span_mem (p : P) (s : set P) (hp : p ∈ s) : p ∈ affine_span k V P s ⟨p, hp⟩ :=
mem_span_points k V p s hp
end affine_span
/-- An `affine_map k V1 P1 V2 P2` is a map from `P1` to `P2` that
induces a corresponding linear map from `V1` to `V2`. -/
structure affine_map (k : Type*) (V1 : Type*) (P1 : Type*) (V2 : Type*) (P2 : Type*)
[ring k]
[add_comm_group V1] [module k V1] [affine_space k V1 P1]
[add_comm_group V2] [module k V2] [affine_space k V2 P2] :=
(to_fun : P1 → P2)
(linear : linear_map k V1 V2)
(map_vadd' : ∀ (p : P1) (v : V1), to_fun (v +ᵥ p) = linear v +ᵥ to_fun p)
namespace affine_map
variables {k : Type*} {V1 : Type*} {P1 : Type*} {V2 : Type*} {P2 : Type*}
{V3 : Type*} {P3 : Type*} [ring k]
[add_comm_group V1] [module k V1] [affine_space k V1 P1]
[add_comm_group V2] [module k V2] [affine_space k V2 P2]
[add_comm_group V3] [module k V3] [affine_space k V3 P3]
instance: has_coe_to_fun (affine_map k V1 P1 V2 P2) := ⟨_, to_fun⟩
/-- Constructing an affine map and coercing back to a function
produces the same map. -/
@[simp] lemma coe_mk (f : P1 → P2) (linear add) :
((mk f linear add : affine_map k V1 P1 V2 P2) : P1 → P2) = f := rfl
/-- `to_fun` is the same as the result of coercing to a function. -/
@[simp] lemma to_fun_eq_coe (f : affine_map k V1 P1 V2 P2) : f.to_fun = ⇑f := rfl
/-- An affine map on the result of adding a vector to a point produces
the same result as the linear map applied to that vector, added to the
affine map applied to that point. -/
@[simp] lemma map_vadd (f : affine_map k V1 P1 V2 P2) (p : P1) (v : V1) :
f (v +ᵥ p) = f.linear v +ᵥ f p := f.map_vadd' p v
/-- The linear map on the result of subtracting two points is the
result of subtracting the result of the affine map on those two
points. -/
lemma map_vsub (f : affine_map k V1 P1 V2 P2) (p1 p2 : P1) :
f p1 -ᵥ f p2 = f.linear (p1 -ᵥ p2) :=
by conv_lhs { rw [←vsub_vadd V1 p1 p2, map_vadd, vadd_vsub] }
/-- Two affine maps are equal if they coerce to the same function. -/
@[ext] lemma ext (f g : affine_map k V1 P1 V2 P2) (h : (f : P1 → P2) = g) : f = g :=
begin
rcases f with ⟨f, f_linear, f_add⟩,
rcases g with ⟨g, g_linear, g_add⟩,
change f = g at h,
subst g,
congr',
ext v,
cases (add_torsor.nonempty V1 : nonempty P1) with p,
apply vadd_right_cancel (f p),
erw [← f_add, ← g_add]
end
/-- Construct an affine map by verifying the relation between the map and its linear part at one
base point. Namely, this function takes a map `f : P₁ → P₂`, a linear map `f' : V₁ →ₗ[k] V₂`, and
a point `p` such that for any other point `p'` we have `f p' = f' (p' -ᵥ p) +ᵥ f p`. -/
def mk' (f : P1 → P2) (f' : V1 →ₗ[k] V2) (p : P1) (h : ∀ p' : P1, f p' = f' (p' -ᵥ p) +ᵥ f p) :
affine_map k V1 P1 V2 P2 :=
{ to_fun := f,
linear := f',
map_vadd' := λ p' v, by rw [h, h p', vadd_vsub_assoc, f'.map_add, add_action.vadd_assoc] }
@[simp] lemma coe_mk' (f : P1 → P2) (f' : V1 →ₗ[k] V2) (p h) : ⇑(mk' f f' p h) = f := rfl
@[simp] lemma mk'_linear (f : P1 → P2) (f' : V1 →ₗ[k] V2) (p h) : (mk' f f' p h).linear = f' := rfl
variables (k V1 P1)
/-- Identity map as an affine map. -/
def id : affine_map k V1 P1 V1 P1 :=
{ to_fun := id,
linear := linear_map.id,
map_vadd' := λ p v, rfl }
/-- The identity affine map acts as the identity. -/
@[simp] lemma coe_id : ⇑(id k V1 P1) = _root_.id := rfl
variable {P1}
/-- The identity affine map acts as the identity. -/
lemma id_apply (p : P1) : id k V1 P1 p = p := rfl
variables {k V1 P1}
instance : inhabited (affine_map k V1 P1 V1 P1) := ⟨id k V1 P1⟩
/-- Composition of affine maps. -/
def comp (f : affine_map k V2 P2 V3 P3) (g : affine_map k V1 P1 V2 P2) :
affine_map k V1 P1 V3 P3 :=
{ to_fun := f ∘ g,
linear := f.linear.comp g.linear,
map_vadd' := begin
intros p v,
rw [function.comp_app, g.map_vadd, f.map_vadd],
refl
end }
/-- Composition of affine maps acts as applying the two functions. -/
@[simp] lemma coe_comp (f : affine_map k V2 P2 V3 P3) (g : affine_map k V1 P1 V2 P2) :
⇑(f.comp g) = f ∘ g := rfl
/-- Composition of affine maps acts as applying the two functions. -/
lemma comp_apply (f : affine_map k V2 P2 V3 P3) (g : affine_map k V1 P1 V2 P2) (p : P1) :
f.comp g p = f (g p) := rfl
end affine_map
|
0c0351c8cbced4b78c9789a575a66660ce78f6a9 | bb31430994044506fa42fd667e2d556327e18dfe | /src/group_theory/quotient_group.lean | 14fc5da61645ddeea18b25e9435f99ac0f403ee6 | [
"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 | 23,662 | lean | /-
Copyright (c) 2018 Kevin Buzzard, Patrick Massot. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kevin Buzzard, Patrick Massot
This file is to a certain extent based on `quotient_module.lean` by Johannes Hölzl.
-/
import group_theory.congruence
import group_theory.coset
import group_theory.subgroup.pointwise
/-!
# Quotients of groups by normal subgroups
This files develops the basic theory of quotients of groups by normal subgroups. In particular it
proves Noether's first and second isomorphism theorems.
## Main definitions
* `mk'`: the canonical group homomorphism `G →* G/N` given a normal subgroup `N` of `G`.
* `lift φ`: the group homomorphism `G/N →* H` given a group homomorphism `φ : G →* H` such that
`N ⊆ ker φ`.
* `map f`: the group homomorphism `G/N →* H/M` given a group homomorphism `f : G →* H` such that
`N ⊆ f⁻¹(M)`.
## Main statements
* `quotient_ker_equiv_range`: Noether's first isomorphism theorem, an explicit isomorphism
`G/ker φ → range φ` for every group homomorphism `φ : G →* H`.
* `quotient_inf_equiv_prod_normal_quotient`: Noether's second isomorphism theorem, an explicit
isomorphism between `H/(H ∩ N)` and `(HN)/N` given a subgroup `H` and a normal subgroup `N` of a
group `G`.
* `quotient_group.quotient_quotient_equiv_quotient`: Noether's third isomorphism theorem,
the canonical isomorphism between `(G / N) / (M / N)` and `G / M`, where `N ≤ M`.
## Tags
isomorphism theorems, quotient groups
-/
open function
universes u v
namespace quotient_group
variables {G : Type u} [group G] (N : subgroup G) [nN : N.normal] {H : Type v} [group H]
include nN
/-- The congruence relation generated by a normal subgroup. -/
@[to_additive "The additive congruence relation generated by a normal additive subgroup."]
protected def con : con G :=
{ to_setoid := left_rel N,
mul' := λ a b c d hab hcd, begin
rw [left_rel_eq] at hab hcd ⊢,
calc (a * c)⁻¹ * (b * d) = c⁻¹ * (a⁻¹ * b) * c⁻¹⁻¹ * (c⁻¹ * d) :
by simp only [mul_inv_rev, mul_assoc, inv_mul_cancel_left]
... ∈ N : N.mul_mem (nN.conj_mem _ hab _) hcd
end }
@[to_additive] instance quotient.group : group (G ⧸ N) := (quotient_group.con N).group
/-- The group homomorphism from `G` to `G/N`. -/
@[to_additive "The additive group homomorphism from `G` to `G/N`."]
def mk' : G →* G ⧸ N := monoid_hom.mk' (quotient_group.mk) (λ _ _, rfl)
@[simp, to_additive]
lemma coe_mk' : (mk' N : G → G ⧸ N) = coe := rfl
@[simp, to_additive]
lemma mk'_apply (x : G) : mk' N x = x := rfl
@[to_additive]
lemma mk'_surjective : surjective $ mk' N := @mk_surjective _ _ N
@[to_additive]
lemma mk'_eq_mk' {x y : G} : mk' N x = mk' N y ↔ ∃ z ∈ N, x * z = y :=
quotient_group.eq'.trans $
by simp only [← _root_.eq_inv_mul_iff_mul_eq, exists_prop, exists_eq_right]
/-- Two `monoid_hom`s from a quotient group are equal if their compositions with
`quotient_group.mk'` are equal.
See note [partially-applied ext lemmas]. -/
@[ext, to_additive /-" Two `add_monoid_hom`s from an additive quotient group are equal if their
compositions with `add_quotient_group.mk'` are equal.
See note [partially-applied ext lemmas]. "-/]
lemma monoid_hom_ext ⦃f g : G ⧸ N →* H⦄ (h : f.comp (mk' N) = g.comp (mk' N)) : f = g :=
monoid_hom.ext $ λ x, quotient_group.induction_on x $ (monoid_hom.congr_fun h : _)
@[simp, to_additive]
lemma eq_one_iff {N : subgroup G} [nN : N.normal] (x : G) : (x : G ⧸ N) = 1 ↔ x ∈ N :=
begin
refine quotient_group.eq.trans _,
rw [mul_one, subgroup.inv_mem_iff],
end
@[simp, to_additive]
lemma ker_mk : monoid_hom.ker (quotient_group.mk' N : G →* G ⧸ N) = N :=
subgroup.ext eq_one_iff
@[to_additive]
lemma eq_iff_div_mem {N : subgroup G} [nN : N.normal] {x y : G} :
(x : G ⧸ N) = y ↔ x / y ∈ N :=
begin
refine eq_comm.trans (quotient_group.eq.trans _),
rw [nN.mem_comm_iff, div_eq_mul_inv]
end
-- for commutative groups we don't need normality assumption
omit nN
@[to_additive]
instance quotient.comm_group {G : Type*} [comm_group G] (N : subgroup G) : comm_group (G ⧸ N) :=
{ mul_comm := λ a b, quotient.induction_on₂' a b
(λ a b, congr_arg mk (mul_comm a b)),
.. @quotient_group.quotient.group _ _ N N.normal_of_comm }
include nN
local notation ` Q ` := G ⧸ N
@[simp, to_additive] lemma coe_one : ((1 : G) : Q) = 1 := rfl
@[simp, to_additive] lemma coe_mul (a b : G) : ((a * b : G) : Q) = a * b := rfl
@[simp, to_additive] lemma coe_inv (a : G) : ((a⁻¹ : G) : Q) = a⁻¹ := rfl
@[simp, to_additive] lemma coe_div (a b : G) : ((a / b : G) : Q) = a / b := rfl
@[simp, to_additive] lemma coe_pow (a : G) (n : ℕ) : ((a ^ n : G) : Q) = a ^ n := rfl
@[simp, to_additive] lemma coe_zpow (a : G) (n : ℤ) : ((a ^ n : G) : Q) = a ^ n := rfl
/-- A group homomorphism `φ : G →* H` with `N ⊆ ker(φ)` descends (i.e. `lift`s) to a
group homomorphism `G/N →* H`. -/
@[to_additive "An `add_group` homomorphism `φ : G →+ H` with `N ⊆ ker(φ)` descends (i.e. `lift`s)
to a group homomorphism `G/N →* H`."]
def lift (φ : G →* H) (HN : ∀x∈N, φ x = 1) : Q →* H :=
(quotient_group.con N).lift φ $ λ x y h, begin
simp only [quotient_group.con, left_rel_apply, con.rel_mk] at h,
calc φ x = φ (y * (x⁻¹ * y)⁻¹) : by rw [mul_inv_rev, inv_inv, mul_inv_cancel_left]
... = φ y : by rw [φ.map_mul, HN _ (N.inv_mem h), mul_one]
end
@[simp, to_additive]
lemma lift_mk {φ : G →* H} (HN : ∀x∈N, φ x = 1) (g : G) : lift N φ HN (g : Q) = φ g := rfl
@[simp, to_additive]
lemma lift_mk' {φ : G →* H} (HN : ∀x∈N, φ x = 1) (g : G) : lift N φ HN (mk g : Q) = φ g := rfl
@[simp, to_additive]
lemma lift_quot_mk {φ : G →* H} (HN : ∀x∈N, φ x = 1) (g : G) :
lift N φ HN (quot.mk _ g : Q) = φ g := rfl
/-- A group homomorphism `f : G →* H` induces a map `G/N →* H/M` if `N ⊆ f⁻¹(M)`. -/
@[to_additive "An `add_group` homomorphism `f : G →+ H` induces a map `G/N →+ H/M` if
`N ⊆ f⁻¹(M)`."]
def map (M : subgroup H) [M.normal] (f : G →* H) (h : N ≤ M.comap f) :
G ⧸ N →* H ⧸ M :=
begin
refine quotient_group.lift N ((mk' M).comp f) _,
assume x hx,
refine quotient_group.eq.2 _,
rw [mul_one, subgroup.inv_mem_iff],
exact h hx,
end
@[simp, to_additive] lemma map_coe (M : subgroup H) [M.normal] (f : G →* H) (h : N ≤ M.comap f)
(x : G) :
map N M f h ↑x = ↑(f x) :=
rfl
@[to_additive] lemma map_mk' (M : subgroup H) [M.normal] (f : G →* H) (h : N ≤ M.comap f) (x : G) :
map N M f h (mk' _ x) = ↑(f x) :=
rfl
@[to_additive]
lemma map_id_apply (h : N ≤ subgroup.comap (monoid_hom.id _) N := (subgroup.comap_id N).le) (x) :
map N N (monoid_hom.id _) h x = x :=
induction_on' x $ λ x, rfl
@[simp, to_additive]
lemma map_id (h : N ≤ subgroup.comap (monoid_hom.id _) N := (subgroup.comap_id N).le) :
map N N (monoid_hom.id _) h = monoid_hom.id _ :=
monoid_hom.ext (map_id_apply N h)
@[simp, to_additive]
lemma map_map {I : Type*} [group I] (M : subgroup H) (O : subgroup I)
[M.normal] [O.normal]
(f : G →* H) (g : H →* I) (hf : N ≤ subgroup.comap f M) (hg : M ≤ subgroup.comap g O)
(hgf : N ≤ subgroup.comap (g.comp f) O :=
hf.trans ((subgroup.comap_mono hg).trans_eq (subgroup.comap_comap _ _ _))) (x : G ⧸ N) :
map M O g hg (map N M f hf x) = map N O (g.comp f) hgf x :=
begin
refine induction_on' x (λ x, _),
simp only [map_coe, monoid_hom.comp_apply]
end
@[simp, to_additive]
lemma map_comp_map {I : Type*} [group I] (M : subgroup H) (O : subgroup I)
[M.normal] [O.normal]
(f : G →* H) (g : H →* I) (hf : N ≤ subgroup.comap f M) (hg : M ≤ subgroup.comap g O)
(hgf : N ≤ subgroup.comap (g.comp f) O :=
hf.trans ((subgroup.comap_mono hg).trans_eq (subgroup.comap_comap _ _ _))) :
(map M O g hg).comp (map N M f hf) = map N O (g.comp f) hgf :=
monoid_hom.ext (map_map N M O f g hf hg hgf)
omit nN
section congr
variables (G' : subgroup G) (H' : subgroup H) [subgroup.normal G'] [subgroup.normal H']
/-- `quotient_group.congr` lifts the isomorphism `e : G ≃ H` to `G ⧸ G' ≃ H ⧸ H'`,
given that `e` maps `G` to `H`. -/
@[to_additive "`quotient_add_group.congr` lifts the isomorphism `e : G ≃ H` to `G ⧸ G' ≃ H ⧸ H'`,
given that `e` maps `G` to `H`."]
def congr (e : G ≃* H) (he : G'.map ↑e = H') : G ⧸ G' ≃* H ⧸ H' :=
{ to_fun := map G' H' ↑e (he ▸ G'.le_comap_map e),
inv_fun := map H' G' ↑e.symm (he ▸ (G'.map_equiv_eq_comap_symm e).le),
left_inv := λ x, by rw map_map; -- `simp` doesn't like this lemma...
simp only [map_map, ← mul_equiv.coe_monoid_hom_trans, mul_equiv.self_trans_symm,
mul_equiv.coe_monoid_hom_refl, map_id_apply],
right_inv := λ x, by rw map_map; -- `simp` doesn't like this lemma...
simp only [← mul_equiv.coe_monoid_hom_trans, mul_equiv.symm_trans_self,
mul_equiv.coe_monoid_hom_refl, map_id_apply],
.. map G' H' ↑e (he ▸ G'.le_comap_map e) }
@[simp] lemma congr_mk (e : G ≃* H) (he : G'.map ↑e = H')
(x) : congr G' H' e he (mk x) = e x :=
rfl
lemma congr_mk' (e : G ≃* H) (he : G'.map ↑e = H')
(x) : congr G' H' e he (mk' G' x) = mk' H' (e x) :=
rfl
@[simp] lemma congr_apply (e : G ≃* H) (he : G'.map ↑e = H')
(x : G) : congr G' H' e he x = mk' H' (e x) :=
rfl
@[simp] lemma congr_refl (he : G'.map (mul_equiv.refl G : G →* G) = G' := subgroup.map_id G') :
congr G' G' (mul_equiv.refl G) he = mul_equiv.refl (G ⧸ G') :=
by { ext ⟨x⟩, refl }
@[simp] lemma congr_symm (e : G ≃* H) (he : G'.map ↑e = H') :
(congr G' H' e he).symm = congr H' G' e.symm ((subgroup.map_symm_eq_iff_map_eq _).mpr he) :=
rfl
end congr
variables (φ : G →* H)
open monoid_hom
/-- The induced map from the quotient by the kernel to the codomain. -/
@[to_additive "The induced map from the quotient by the kernel to the codomain."]
def ker_lift : G ⧸ ker φ →* H :=
lift _ φ $ λ g, φ.mem_ker.mp
@[simp, to_additive]
lemma ker_lift_mk (g : G) : (ker_lift φ) g = φ g := lift_mk _ _ _
@[simp, to_additive]
lemma ker_lift_mk' (g : G) : (ker_lift φ) (mk g) = φ g := lift_mk' _ _ _
@[to_additive]
lemma ker_lift_injective : injective (ker_lift φ) :=
assume a b, quotient.induction_on₂' a b $
assume a b (h : φ a = φ b), quotient.sound' $
by rw [left_rel_apply, mem_ker, φ.map_mul, ← h, φ.map_inv, inv_mul_self]
-- Note that `ker φ` isn't definitionally `ker (φ.range_restrict)`
-- so there is a bit of annoying code duplication here
/-- The induced map from the quotient by the kernel to the range. -/
@[to_additive "The induced map from the quotient by the kernel to the range."]
def range_ker_lift : G ⧸ ker φ →* φ.range :=
lift _ φ.range_restrict $ λ g hg, (mem_ker _).mp $ by rwa ker_range_restrict
@[to_additive]
lemma range_ker_lift_injective : injective (range_ker_lift φ) :=
assume a b, quotient.induction_on₂' a b $
assume a b (h : φ.range_restrict a = φ.range_restrict b), quotient.sound' $
by rw [left_rel_apply, ←ker_range_restrict, mem_ker,
φ.range_restrict.map_mul, ← h, φ.range_restrict.map_inv, inv_mul_self]
@[to_additive]
lemma range_ker_lift_surjective : surjective (range_ker_lift φ) :=
begin
rintro ⟨_, g, rfl⟩,
use mk g,
refl,
end
/-- **Noether's first isomorphism theorem** (a definition): the canonical isomorphism between
`G/(ker φ)` to `range φ`. -/
@[to_additive "The first isomorphism theorem (a definition): the canonical isomorphism between
`G/(ker φ)` to `range φ`."]
noncomputable def quotient_ker_equiv_range : G ⧸ ker φ ≃* range φ :=
mul_equiv.of_bijective (range_ker_lift φ) ⟨range_ker_lift_injective φ, range_ker_lift_surjective φ⟩
/-- The canonical isomorphism `G/(ker φ) ≃* H` induced by a homomorphism `φ : G →* H`
with a right inverse `ψ : H → G`. -/
@[to_additive "The canonical isomorphism `G/(ker φ) ≃+ H` induced by a homomorphism `φ : G →+ H`
with a right inverse `ψ : H → G`.", simps]
def quotient_ker_equiv_of_right_inverse (ψ : H → G) (hφ : right_inverse ψ φ) :
G ⧸ ker φ ≃* H :=
{ to_fun := ker_lift φ,
inv_fun := mk ∘ ψ,
left_inv := λ x, ker_lift_injective φ (by rw [comp_app, ker_lift_mk', hφ]),
right_inv := hφ,
.. ker_lift φ }
/-- The canonical isomorphism `G/⊥ ≃* G`. -/
@[to_additive "The canonical isomorphism `G/⊥ ≃+ G`.", simps]
def quotient_bot : G ⧸ (⊥ : subgroup G) ≃* G :=
quotient_ker_equiv_of_right_inverse (monoid_hom.id G) id (λ x, rfl)
/-- The canonical isomorphism `G/(ker φ) ≃* H` induced by a surjection `φ : G →* H`.
For a `computable` version, see `quotient_group.quotient_ker_equiv_of_right_inverse`.
-/
@[to_additive "The canonical isomorphism `G/(ker φ) ≃+ H` induced by a surjection `φ : G →+ H`.
For a `computable` version, see `quotient_add_group.quotient_ker_equiv_of_right_inverse`."]
noncomputable def quotient_ker_equiv_of_surjective (hφ : surjective φ) :
G ⧸ (ker φ) ≃* H :=
quotient_ker_equiv_of_right_inverse φ _ hφ.has_right_inverse.some_spec
/-- If two normal subgroups `M` and `N` of `G` are the same, their quotient groups are
isomorphic. -/
@[to_additive "If two normal subgroups `M` and `N` of `G` are the same, their quotient groups are
isomorphic."]
def quotient_mul_equiv_of_eq {M N : subgroup G} [M.normal] [N.normal] (h : M = N) :
G ⧸ M ≃* G ⧸ N :=
{ map_mul' := λ q r, quotient.induction_on₂' q r (λ g h, rfl),
.. subgroup.quotient_equiv_of_eq h }
@[simp, to_additive]
lemma quotient_mul_equiv_of_eq_mk {M N : subgroup G} [M.normal] [N.normal] (h : M = N) (x : G) :
quotient_group.quotient_mul_equiv_of_eq h (quotient_group.mk x) = (quotient_group.mk x) :=
rfl
/-- Let `A', A, B', B` be subgroups of `G`. If `A' ≤ B'` and `A ≤ B`,
then there is a map `A / (A' ⊓ A) →* B / (B' ⊓ B)` induced by the inclusions. -/
@[to_additive "Let `A', A, B', B` be subgroups of `G`. If `A' ≤ B'` and `A ≤ B`,
then there is a map `A / (A' ⊓ A) →+ B / (B' ⊓ B)` induced by the inclusions."]
def quotient_map_subgroup_of_of_le {A' A B' B : subgroup G}
[hAN : (A'.subgroup_of A).normal] [hBN : (B'.subgroup_of B).normal]
(h' : A' ≤ B') (h : A ≤ B) :
A ⧸ (A'.subgroup_of A) →* B ⧸ (B'.subgroup_of B) :=
map _ _ (subgroup.inclusion h) $ subgroup.comap_mono h'
@[simp, to_additive]
lemma quotient_map_subgroup_of_of_le_coe {A' A B' B : subgroup G}
[hAN : (A'.subgroup_of A).normal] [hBN : (B'.subgroup_of B).normal]
(h' : A' ≤ B') (h : A ≤ B) (x : A) :
quotient_map_subgroup_of_of_le h' h x = ↑(subgroup.inclusion h x : B) := rfl
/-- Let `A', A, B', B` be subgroups of `G`.
If `A' = B'` and `A = B`, then the quotients `A / (A' ⊓ A)` and `B / (B' ⊓ B)` are isomorphic.
Applying this equiv is nicer than rewriting along the equalities, since the type of
`(A'.subgroup_of A : subgroup A)` depends on on `A`.
-/
@[to_additive "Let `A', A, B', B` be subgroups of `G`.
If `A' = B'` and `A = B`, then the quotients `A / (A' ⊓ A)` and `B / (B' ⊓ B)` are isomorphic.
Applying this equiv is nicer than rewriting along the equalities, since the type of
`(A'.add_subgroup_of A : add_subgroup A)` depends on on `A`.
"]
def equiv_quotient_subgroup_of_of_eq {A' A B' B : subgroup G}
[hAN : (A'.subgroup_of A).normal] [hBN : (B'.subgroup_of B).normal]
(h' : A' = B') (h : A = B) :
A ⧸ (A'.subgroup_of A) ≃* B ⧸ (B'.subgroup_of B) :=
monoid_hom.to_mul_equiv
(quotient_map_subgroup_of_of_le h'.le h.le) (quotient_map_subgroup_of_of_le h'.ge h.ge)
(by { ext ⟨x, hx⟩, refl })
(by { ext ⟨x, hx⟩, refl })
section zpow
variables {A B C : Type u} [comm_group A] [comm_group B] [comm_group C]
variables (f : A →* B) (g : B →* A) (e : A ≃* B) (d : B ≃* C) (n : ℤ)
/-- The map of quotients by powers of an integer induced by a group homomorphism. -/
@[to_additive "The map of quotients by multiples of an integer induced by an additive group
homomorphism."]
def hom_quotient_zpow_of_hom :
A ⧸ (zpow_group_hom n : A →* A).range →* B ⧸ (zpow_group_hom n : B →* B).range :=
lift _ ((mk' _).comp f) $
λ g ⟨h, (hg : h ^ n = g)⟩, (eq_one_iff _).mpr ⟨_, by simpa only [← hg, map_zpow]⟩
@[simp, to_additive]
lemma hom_quotient_zpow_of_hom_id :
hom_quotient_zpow_of_hom (monoid_hom.id A) n = monoid_hom.id _ :=
monoid_hom_ext _ rfl
@[simp, to_additive]
lemma hom_quotient_zpow_of_hom_comp :
hom_quotient_zpow_of_hom (f.comp g) n
= (hom_quotient_zpow_of_hom f n).comp (hom_quotient_zpow_of_hom g n) :=
monoid_hom_ext _ rfl
@[simp, to_additive]
lemma hom_quotient_zpow_of_hom_comp_of_right_inverse (i : function.right_inverse g f) :
(hom_quotient_zpow_of_hom f n).comp (hom_quotient_zpow_of_hom g n) = monoid_hom.id _ :=
monoid_hom_ext _ $ monoid_hom.ext $ λ x, congr_arg coe $ i x
/-- The equivalence of quotients by powers of an integer induced by a group isomorphism. -/
@[to_additive "The equivalence of quotients by multiples of an integer induced by an additive group
isomorphism."]
def equiv_quotient_zpow_of_equiv :
A ⧸ (zpow_group_hom n : A →* A).range ≃* B ⧸ (zpow_group_hom n : B →* B).range :=
monoid_hom.to_mul_equiv _ _ (hom_quotient_zpow_of_hom_comp_of_right_inverse e.symm e n e.left_inv)
(hom_quotient_zpow_of_hom_comp_of_right_inverse e e.symm n e.right_inv)
@[simp, to_additive]
lemma equiv_quotient_zpow_of_equiv_refl :
mul_equiv.refl (A ⧸ (zpow_group_hom n : A →* A).range)
= equiv_quotient_zpow_of_equiv (mul_equiv.refl A) n :=
by { ext x, rw [← quotient.out_eq' x], refl }
@[simp, to_additive]
lemma equiv_quotient_zpow_of_equiv_symm :
(equiv_quotient_zpow_of_equiv e n).symm = equiv_quotient_zpow_of_equiv e.symm n :=
rfl
@[simp, to_additive]
lemma equiv_quotient_zpow_of_equiv_trans :
(equiv_quotient_zpow_of_equiv e n).trans (equiv_quotient_zpow_of_equiv d n)
= equiv_quotient_zpow_of_equiv (e.trans d) n :=
by { ext x, rw [← quotient.out_eq' x], refl }
end zpow
section snd_isomorphism_thm
open _root_.subgroup
/-- **Noether's second isomorphism theorem**: given two subgroups `H` and `N` of a group `G`, where
`N` is normal, defines an isomorphism between `H/(H ∩ N)` and `(HN)/N`. -/
@[to_additive "The second isomorphism theorem: given two subgroups `H` and `N` of a group `G`,
where `N` is normal, defines an isomorphism between `H/(H ∩ N)` and `(H + N)/N`"]
noncomputable def quotient_inf_equiv_prod_normal_quotient (H N : subgroup G) [N.normal] :
H ⧸ (N.subgroup_of H) ≃* _ ⧸ (N.subgroup_of (H ⊔ N)) :=
/- φ is the natural homomorphism H →* (HN)/N. -/
let φ : H →* _ ⧸ (N.subgroup_of (H ⊔ N)) :=
(mk' $ N.subgroup_of (H ⊔ N)).comp (inclusion le_sup_left) in
have φ_surjective : surjective φ := λ x, x.induction_on' $
begin
rintro ⟨y, (hy : y ∈ ↑(H ⊔ N))⟩, rw mul_normal H N at hy,
rcases hy with ⟨h, n, hh, hn, rfl⟩,
use [h, hh], apply quotient.eq.mpr,
change setoid.r _ _,
rw left_rel_apply,
change h⁻¹ * (h * n) ∈ N,
rwa [←mul_assoc, inv_mul_self, one_mul],
end,
(quotient_mul_equiv_of_eq (by simp [← comap_ker])).trans
(quotient_ker_equiv_of_surjective φ φ_surjective)
end snd_isomorphism_thm
section third_iso_thm
variables (M : subgroup G) [nM : M.normal]
include nM nN
@[to_additive] instance map_normal : (M.map (quotient_group.mk' N)).normal :=
nM.map _ mk_surjective
variables (h : N ≤ M)
/-- The map from the third isomorphism theorem for groups: `(G / N) / (M / N) → G / M`. -/
@[to_additive "The map from the third isomorphism theorem for additive groups:
`(A / N) / (M / N) → A / M`."]
def quotient_quotient_equiv_quotient_aux :
(G ⧸ N) ⧸ (M.map (mk' N)) →* G ⧸ M :=
lift (M.map (mk' N))
(map N M (monoid_hom.id G) h)
(by { rintro _ ⟨x, hx, rfl⟩, rw map_mk' N M _ _ x,
exact (quotient_group.eq_one_iff _).mpr hx })
@[simp, to_additive]
lemma quotient_quotient_equiv_quotient_aux_coe (x : G ⧸ N) :
quotient_quotient_equiv_quotient_aux N M h x = quotient_group.map N M (monoid_hom.id G) h x :=
quotient_group.lift_mk' _ _ x
@[to_additive]
lemma quotient_quotient_equiv_quotient_aux_coe_coe (x : G) :
quotient_quotient_equiv_quotient_aux N M h (x : G ⧸ N) =
x :=
quotient_group.lift_mk' _ _ x
/-- **Noether's third isomorphism theorem** for groups: `(G / N) / (M / N) ≃* G / M`. -/
@[to_additive "**Noether's third isomorphism theorem** for additive groups:
`(A / N) / (M / N) ≃+ A / M`."]
def quotient_quotient_equiv_quotient :
(G ⧸ N) ⧸ (M.map (quotient_group.mk' N)) ≃* G ⧸ M :=
monoid_hom.to_mul_equiv
(quotient_quotient_equiv_quotient_aux N M h)
(quotient_group.map _ _ (quotient_group.mk' N) (subgroup.le_comap_map _ _))
(by { ext, simp })
(by { ext, simp })
end third_iso_thm
section trivial
@[to_additive] lemma subsingleton_quotient_top :
subsingleton (G ⧸ (⊤ : subgroup G)) :=
begin
dsimp [has_quotient.quotient, subgroup.has_quotient, quotient],
rw left_rel_eq,
exact @trunc.subsingleton G,
end
/-- If the quotient by a subgroup gives a singleton then the subgroup is the whole group. -/
@[to_additive "If the quotient by an additive subgroup gives a singleton then the additive subgroup
is the whole additive group."] lemma subgroup_eq_top_of_subsingleton (H : subgroup G)
(h : subsingleton (G ⧸ H)) : H = ⊤ :=
top_unique $ λ x _,
have this : 1⁻¹ * x ∈ H := quotient_group.eq.1 (subsingleton.elim _ _),
by rwa [inv_one, one_mul] at this
end trivial
@[to_additive]
lemma comap_comap_center {H₁ : subgroup G} [H₁.normal] {H₂ : subgroup (G ⧸ H₁)} [H₂.normal] :
(((subgroup.center ((G ⧸ H₁) ⧸ H₂))).comap (mk' H₂)).comap (mk' H₁) =
(subgroup.center (G ⧸ H₂.comap (mk' H₁))).comap (mk' (H₂.comap (mk' H₁))) :=
begin
ext x,
simp only [mk'_apply, subgroup.mem_comap, subgroup.mem_center_iff, forall_coe,
← coe_mul, eq_iff_div_mem, coe_div]
end
end quotient_group
namespace group
open_locale classical
open quotient_group subgroup
variables {F G H : Type u} [group F] [group G] [group H] [fintype F] [fintype H]
variables (f : F →* G) (g : G →* H)
/-- If `F` and `H` are finite such that `ker(G →* H) ≤ im(F →* G)`, then `G` is finite. -/
@[to_additive "If `F` and `H` are finite such that `ker(G →+ H) ≤ im(F →+ G)`, then `G` is finite."]
noncomputable def fintype_of_ker_le_range (h : g.ker ≤ f.range) : fintype G :=
@fintype.of_equiv _ _ (@prod.fintype _ _ (fintype.of_injective _ $ ker_lift_injective g) $
fintype.of_injective _ $ inclusion_injective h)
group_equiv_quotient_times_subgroup.symm
/-- If `F` and `H` are finite such that `ker(G →* H) = im(F →* G)`, then `G` is finite. -/
@[to_additive "If `F` and `H` are finite such that `ker(G →+ H) = im(F →+ G)`, then `G` is finite."]
noncomputable def fintype_of_ker_eq_range (h : g.ker = f.range) : fintype G :=
fintype_of_ker_le_range _ _ h.le
/-- If `ker(G →* H)` and `H` are finite, then `G` is finite. -/
@[to_additive "If `ker(G →+ H)` and `H` are finite, then `G` is finite."]
noncomputable def fintype_of_ker_of_codom [fintype g.ker] : fintype G :=
fintype_of_ker_le_range ((top_equiv : _ ≃* G).to_monoid_hom.comp $ inclusion le_top) g $
λ x hx, ⟨⟨x, hx⟩, rfl⟩
/-- If `F` and `coker(F →* G)` are finite, then `G` is finite. -/
@[to_additive "If `F` and `coker(F →+ G)` are finite, then `G` is finite."]
noncomputable def fintype_of_dom_of_coker [normal f.range] [fintype $ G ⧸ f.range] : fintype G :=
fintype_of_ker_le_range _ (mk' f.range) $ λ x, (eq_one_iff x).mp
end group
|
fa89dd98810ea8c231c7f6332fdb3e67bf7f3e41 | ed27983dd289b3bcad416f0b1927105d6ef19db8 | /src/inClassNotes/higherOrderFunctions/option_mapTest.lean | 4281f02edc2e8d7c761dc81bef95666a493aa1b3 | [] | no_license | liuxin-James/complogic-s21 | 0d55b76dbe25024473d31d98b5b83655c365f811 | 13e03e0114626643b44015c654151fb651603486 | refs/heads/master | 1,681,109,264,463 | 1,618,848,261,000 | 1,618,848,261,000 | 337,599,491 | 0 | 0 | null | 1,613,141,619,000 | 1,612,925,555,000 | null | UTF-8 | Lean | false | false | 477 | lean | import ..type_library.option
namespace hidden
-- concrete example
def map_option_nat_nat :
(nat → nat) →
(option nat) →
option nat
| f option.none := option.none
| f (option.some v) := option.some (f v)
-- API, general case
universes u₁ u₂
#check option
def map_option
{α : Type u₁}
{β : Type u₂} :
(α → β) →
(option α) →
option β
| f option.none := option.none
| f (option.some v) := option.some (f v)
end hidden
|
eb7695307fe64a8134ce2b831e46d27b6f33ad43 | dc253be9829b840f15d96d986e0c13520b085033 | /archive/smash_assoc.hlean | c056ca6e7d61fa58b753a0de89d3fb154235f25f | [
"Apache-2.0"
] | permissive | cmu-phil/Spectral | 4ce68e5c1ef2a812ffda5260e9f09f41b85ae0ea | 3b078f5f1de251637decf04bd3fc8aa01930a6b3 | refs/heads/master | 1,685,119,195,535 | 1,684,169,772,000 | 1,684,169,772,000 | 46,450,197 | 42 | 13 | null | 1,505,516,767,000 | 1,447,883,921,000 | Lean | UTF-8 | Lean | false | false | 24,031 | hlean | -- Authors: Floris van Doorn
-- In collaboration with Stefano, Robin
import ..homotopy.smash homotopy.red_susp
open bool pointed eq equiv is_equiv sum bool prod unit circle cofiber prod.ops wedge is_trunc
function red_susp unit sigma
exit
namespace smash
variables {A B C : Type*}
open pushout
definition prod3_of_sum3 [unfold 4] (A B C : Type*) : A × C ⊎ A × B ⊎ C × B → A × B × C :=
begin
intro v, induction v with ac v,
exact (ac.1, (pt, ac.2)),
induction v with ab cb,
exact (ab.1, (ab.2, pt)),
exact (pt, (cb.2, cb.1))
end
definition fin3_of_sum3 [unfold 4] (A B C : Type*) : A × C ⊎ A × B ⊎ C × B → A ⊎ B ⊎ C :=
sum_functor (λac, ac.1) (sum_functor (λab, ab.2) (λcb, cb.1))
definition smash3 (A B C : Type*) : Type* :=
pointed.MK (pushout (prod3_of_sum3 A B C) (fin3_of_sum3 A B C)) (inl (pt, (pt, pt)))
definition to_image {A B : Type} (f : A → B) (a : A) : sigma (image f) :=
⟨f a, image.mk a idp⟩
definition pushout_image_prod3_of_sum3 (A B C : Type*) : Type :=
pushout (to_image (prod3_of_sum3 A B C)) (fin3_of_sum3 A B C)
-- definition pushout_image_prod3_of_sum3_equiv (A B C : Type*) : pushout_image_prod3_of_sum3 A B C ≃ unit :=
-- begin
-- apply equiv_unit_of_is_contr,
-- fapply is_contr.mk,
-- { exact inr (sum.inl pt) },
-- { intro x, refine @center _ _,
-- induction x using pushout.rec_prop,
-- { induction x with abc p,
-- induction p with v p, induction p,
-- induction v with ac v,
-- { induction ac with a c, esimp [prod3_of_sum3], },
-- induction v with ab cb,
-- { },
-- { }},
-- { }}
-- end
-- definition pushout_wedge_of_sum_equiv_unit : pushout (@wedge_of_sum A B) bool_of_sum ≃ unit :=
-- begin
-- refine pushout_hcompose_equiv (sum_of_bool A B) (wedge_equiv_pushout_sum A B)
-- _ _ ⬝e _,
-- exact erfl,
-- intro x, induction x: esimp,
-- exact bool_of_sum_of_bool,
-- apply pushout_of_equiv_right
-- end
-- definition smash3_comm (A B C : Type*) : smash3 A B C ≃* smash3 C B A :=
-- begin
-- fapply pequiv_of_equiv,
-- { fapply pushout.equiv,
-- { apply sum_equiv_sum (prod_comm_equiv A C) (sum_comm_equiv (A × B) (C × B)) },
-- { refine prod_assoc_equiv A B C ⬝e prod_comm_equiv (A × B) C
-- ⬝e prod_equiv_prod_left (prod_comm_equiv A B) },
-- { refine sum_assoc_equiv A B C ⬝e sum_comm_equiv (A + B) C ⬝e sum_equiv_sum_left (sum_comm_equiv A B) },
-- { intro x, induction x with ac x, reflexivity, induction x with ab cb: reflexivity },
-- { intro x, induction x with ac x, induction ac with a c, esimp, reflexivity, induction x with ab cb: reflexivity }},
-- { reflexivity }
-- end
/- attempt 1, direct proof that A ∧ (B ∧ C) ≃ smash3 A B C -/
definition glue1 (a : A) (b : B) : inl (a, (b, pt)) = inr (inr (inl b)) :> smash3 A B C :=
pushout.glue (inr (inl (a, b)))
definition glue2 (b : B) (c : C) : inl (pt, (b, c)) = inr (inr (inr c)) :> smash3 A B C :=
pushout.glue (inr (inr (c, b)))
definition glue3 (c : C) (a : A) : inl (a, (pt, c)) = inr (inl a) :> smash3 A B C :=
pushout.glue (inl (a, c))
definition smash3_of_prod_smash [unfold 5] (a : A) (bc : B ∧ C) : smash3 A B C :=
begin
induction bc using smash.elim' with b c b c,
{ exact inl (a, (b, c)) },
{ refine glue1 a b ⬝ (glue1 pt b)⁻¹ ⬝ (glue2 b pt ⬝ (glue2 pt pt)⁻¹) ⬝ (glue1 pt pt ⬝ (glue1 a pt)⁻¹) },
{ refine glue3 c a ⬝ (glue3 pt a)⁻¹ ⬝ (glue1 a pt ⬝ (glue1 pt pt)⁻¹) ⬝ (glue1 pt pt ⬝ (glue1 a pt)⁻¹) },
{ exact abstract whisker_right _ (whisker_left _ !con.right_inv ⬝ !con_idp) ⬝ !con.assoc ⬝
whisker_left _ !inv_con_cancel_left ⬝ !con.right_inv end },
{ exact abstract whisker_right _ (whisker_right _ !con.right_inv ⬝ !idp_con) ⬝ !con.assoc ⬝
whisker_left _ !inv_con_cancel_left ⬝ !con.right_inv end }
end
-- definition smash3_of_prod_smash [unfold 5] (a : A) (bc : B ∧ C) : smash3 A B C :=
-- begin
-- induction bc with b c b c,
-- { exact inl (a, (b, c)) },
-- { exact pt },
-- { exact pt },
-- { refine glue1 a b ⬝ (glue1 pt b)⁻¹ ⬝ (glue2 b pt ⬝ (glue2 pt pt)⁻¹) },
-- { refine glue3 c a ⬝ (glue3 pt a)⁻¹ ⬝ (glue1 a pt ⬝ (glue1 pt pt)⁻¹) }
-- end
definition smash3_of_smash_smash_gluer [unfold 4] (bc : B ∧ C) :
smash3_of_prod_smash (pt : A) bc = pt :=
begin
induction bc with b c b c,
{ exact glue2 b c ⬝ (glue2 pt c)⁻¹ ⬝ (glue3 c pt ⬝ (glue3 pt pt)⁻¹) },
{ reflexivity },
{ reflexivity },
{ apply eq_pathover_constant_right, apply square_of_eq, refine !con_idp ⬝ _ ⬝ !elim_gluel⁻¹,
refine whisker_right _ !idp_con⁻¹ ⬝ !con.right_inv⁻¹ ◾ idp ◾ (!con.right_inv ⬝ !con.right_inv⁻¹) },
{ apply eq_pathover_constant_right, apply square_of_eq, refine !con_idp ⬝ _ ⬝ !elim_gluer⁻¹,
refine whisker_right _ !con.right_inv ⬝ !idp_con ⬝ !con_idp⁻¹ ⬝ whisker_left _ !con.right_inv⁻¹ ⬝
!con_idp⁻¹ ⬝ whisker_left _ !con.right_inv⁻¹ }
end
definition smash3_of_smash_smash [unfold 4] (x : A ∧ (B ∧ C)) : smash3 A B C :=
begin
induction x using smash.elim' with a bc a bc,
{ exact smash3_of_prod_smash a bc },
{ exact glue1 a pt ⬝ (glue1 pt pt)⁻¹ },
{ exact smash3_of_smash_smash_gluer bc },
{ apply con.right_inv },
{ exact !con.right_inv ◾ !con.right_inv }
end
definition smash_smash_of_smash3 [unfold 4] (x : smash3 A B C) : A ∧ (B ∧ C) :=
begin
induction x,
{ exact smash.mk a.1 (smash.mk a.2.1 a.2.2) },
{ exact pt },
{ exact abstract begin induction x with ac x,
{ induction ac with a c, exact ap (smash.mk a) (gluer' c pt) ⬝ gluel' a pt },
induction x with ab cb,
{ induction ab with a b, exact ap (smash.mk a) (gluel' b pt) ⬝ gluel' a pt },
{ induction cb with c b, exact gluer' (smash.mk b c) pt } end end },
end
definition smash3_of_smash_smash_of_smash3_inl [unfold 4] (x : A × B × C) :
smash3_of_smash_smash (smash_smash_of_smash3 (inl x)) = inl x :=
begin
induction x with a x, induction x with b c, reflexivity
end
definition smash3_of_smash_smash_of_smash3_inr [unfold 4] (x : A ⊎ B ⊎ C) :
smash3_of_smash_smash (smash_smash_of_smash3 (inr x)) = inr x :=
begin
induction x with a x,
{ exact (glue1 pt pt ⬝ (glue1 a pt)⁻¹) ⬝ glue3 pt a},
induction x with b c,
{ exact (glue2 pt pt ⬝ (glue2 b pt)⁻¹) ⬝ glue1 pt b},
{ exact (glue3 pt pt ⬝ (glue3 c pt)⁻¹) ⬝ glue2 pt c}
end
attribute smash_smash_of_smash3_1 [unfold 4]
definition smash_smash_of_smash3_of_prod_smash [unfold 5] (a : A) (bc : B ∧ C) :
smash_smash_of_smash3 (smash3_of_prod_smash a bc) = smash.mk a bc :=
begin
induction bc with b c b c,
{ reflexivity },
{ exact ap (smash.mk a) (gluel pt) },
{ exact ap (smash.mk a) (gluer pt) },
{ apply eq_pathover, refine ap_compose smash_smash_of_smash3 _ _ ⬝ ap02 _ !elim_gluel ⬝ph _,
refine !ap_con ⬝ (!ap_con ⬝ (!ap_con ⬝ !pushout.elim_glue ◾ (!ap_inv ⬝ _⁻²)) ◾ (!ap_con ⬝ !pushout.elim_glue ◾ (!ap_inv ⬝ _⁻²))) ◾ (!ap_con ⬝ !pushout.elim_glue ◾ (!ap_inv ⬝ _⁻²)) ⬝ph _, rotate 3, do 3 exact !pushout.elim_glue, esimp,
exact sorry },
{ apply eq_pathover, refine ap_compose smash_smash_of_smash3 _ _ ⬝ ap02 _ !elim_gluer ⬝ph _,
refine !ap_con ⬝ (!ap_con ⬝ (!ap_con ⬝ !pushout.elim_glue ◾ (!ap_inv ⬝ _⁻²)) ◾ (!ap_con ⬝ !pushout.elim_glue ◾ (!ap_inv ⬝ _⁻²))) ◾ (!ap_con ⬝ !pushout.elim_glue ◾ (!ap_inv ⬝ _⁻²)) ⬝ph _, rotate 3, do 3 exact !pushout.elim_glue,
exact sorry }
end
-- the commented out is a slow but correct proof
definition smash_smash_equiv_smash3 (A B C : Type*) : A ∧ (B ∧ C) ≃* smash3 A B C :=
begin
fapply pequiv_of_equiv,
{ fapply equiv.MK,
{ exact smash3_of_smash_smash },
{ exact smash_smash_of_smash3 },
{ intro x, --induction x,
-- { exact smash3_of_smash_smash_of_smash3_inl x },
-- { exact smash3_of_smash_smash_of_smash3_inr x },
-- { apply eq_pathover_id_right,
-- refine ap_compose smash3_of_smash_smash _ _ ⬝ ap02 _ !pushout.elim_glue ⬝ph _,
-- induction x with ac x,
-- { induction ac with a c,
-- refine !ap_con ⬝ !ap_compose'⁻¹ ◾ proof !elim'_gluel'_pt qed ⬝ph _,
-- xrewrite [{ap (smash3_of_smash_smash ∘ smash.mk a)}(idpath (ap (smash3_of_prod_smash a)))],
-- esimp, refine !elim'_gluer'_pt ◾ idp ⬝ph _,
-- refine _ ⬝vp whisker_right _ !inv_con_inv_right, apply whisker_lb,
-- refine whisker_left _ !inv_con_inv_right⁻¹ ⬝ !con_inv_cancel_right ⬝ph _,
-- apply whisker_bl, exact hrfl },
-- induction x with ab bc,
-- { induction ab with a b,
-- refine !ap_con ⬝ !ap_compose'⁻¹ ◾ proof !elim'_gluel'_pt qed ⬝ph _, esimp,
-- refine !elim'_gluel'_pt ◾ idp ⬝ph _,
-- refine whisker_left _ !inv_con_inv_right⁻¹ ⬝ !con.assoc ⬝ whisker_left _ !con.right_inv ⬝ !con_idp ⬝ph _,
-- refine _ ⬝vp whisker_right _ !inv_con_inv_right, apply whisker_lb, apply whisker_bl, exact hrfl
-- },
-- { induction bc with b c, refine !elim'_gluer'_pt ⬝ph _, esimp,
-- refine whisker_left _ !inv_con_inv_right⁻¹ ⬝ph _, apply whisker_bl, apply whisker_bl, exact hrfl }}
exact sorry
},
{ intro x, induction x with a bc a bc,
{ exact smash_smash_of_smash3_of_prod_smash a bc },
{ apply gluel },
{ apply gluer },
{ apply eq_pathover_id_right, refine ap_compose smash_smash_of_smash3 _ _ ⬝ ap02 _ !elim_gluel ⬝ph _,
refine !ap_con ⬝ (!pushout.elim_glue ◾ (!ap_inv ⬝ !pushout.elim_glue⁻²)) ⬝ph _, apply sorry, },
{ apply eq_pathover_id_right, refine ap_compose smash_smash_of_smash3 _ _ ⬝ ap02 _ !elim_gluer ⬝ph _,
induction bc with b c b c,
{ refine !ap_con ⬝ (!ap_con ⬝ !pushout.elim_glue ◾ (!ap_inv ⬝ _⁻²)) ◾ (!ap_con ⬝ !pushout.elim_glue ◾ (!ap_inv ⬝ _⁻²)) ⬝ph _, rotate 2, do 2 apply !pushout.elim_glue, exact sorry },
{ exact sorry },
{ exact sorry },
{ exact sorry },
{ exact sorry }}}},
{ reflexivity }
end
-- definition smash_assoc (A B C : Type*) : A ∧ (B ∧ C) ≃* (A ∧ B) ∧ C :=
-- calc
-- A ∧ (B ∧ C) ≃* smash3 A B C : smash_smash_equiv_smash3
-- ... ≃* smash3 C B A : smash3_comm
-- ... ≃* C ∧ (B ∧ A) : smash_smash_equiv_smash3
-- ... ≃* (B ∧ A) ∧ C : smash_comm C (B ∧ A)
-- ... ≃* (A ∧ B) ∧ C : smash_pequiv_smash_left C (smash_comm B A)
-- end
end smash
/- attempt 2: proving the induction principle of smash3 A B C for A ∧ (B ∧ C) -/
namespace smash
variables {A B C : Type*}
/- an induction principle which has only 1 point constructor, but which has bad computation properties -/
protected definition rec' {P : smash A B → Type} (Pmk : Πa b, P (smash.mk a b))
(Pgl : Πa, Pmk a pt =[gluel' a pt] Pmk pt pt)
(Pgr : Πb, Pmk pt b =[gluer' b pt] Pmk pt pt) (x : smash' A B) : P x :=
begin
induction x using smash.rec,
{ apply Pmk },
{ exact gluel pt ▸ Pmk pt pt },
{ exact gluer pt ▸ Pmk pt pt },
{ refine change_path _ (Pgl a ⬝o !pathover_tr), apply inv_con_cancel_right },
{ refine change_path _ (Pgr b ⬝o !pathover_tr), apply inv_con_cancel_right }
end
-- protected definition rec'_gluel' {P : smash A B → Type} (Pmk : Πa b, P (smash.mk a b))
-- (Pgl : Πa, Pmk a pt =[gluel' a pt] Pmk pt pt)
-- (Pgr : Πb, Pmk pt b =[gluer' b pt] Pmk pt pt) (a : A) : apd (smash.rec' Pmk Pgl Pgr) (gluel' a pt) = Pgl a :=
-- begin
-- refine !apd_con ⬝ _,
-- refine ap011 concato !rec_gluel (!apd_inv ⬝ ap inverseo !rec_gluel ⬝ !change_path_invo⁻¹) ⬝ _,
-- refine !change_path_cono⁻¹ ⬝ _,
-- -- refine cono_invo
-- -- refine change_path_invo
-- end
-- protected definition rec'_gluer' {P : smash A B → Type} (Pmk : Πa b, P (smash.mk a b))
-- (Pgl : Πa, Pmk a pt =[gluel' a pt] Pmk pt pt)
-- (Pgr : Πb, Pmk pt b =[gluer' b pt] Pmk pt pt) (b : B) : apd (smash.rec' Pmk Pgl Pgr) (gluer' b pt) = Pgr b :=
-- sorry
definition inl3 (a : A) (b : B) (c : C) : A ∧ (B ∧ C) :=
smash.mk a (smash.mk b c)
definition aux1 (a : A) : A ∧ (B ∧ C) := pt
definition aux2 (b : B) : A ∧ (B ∧ C) := pt
definition aux3 (c : C) : A ∧ (B ∧ C) := pt
definition glue12 (a : A) (b : B) : inl3 a b (pt : C) = aux1 a :=
ap (smash.mk a) (gluel' b pt) ⬝ gluel' a pt
definition glue23 (b : B) (c : C) : inl3 (pt : A) b c = aux2 b :=
gluer' (smash.mk b c) pt
definition glue31 (c : C) (a : A) : inl3 a (pt : B) c = aux3 c :=
ap (smash.mk a) (gluer' c pt) ⬝ gluel' a pt
definition glue1_eq (a : A) : glue12 a pt = glue31 pt a :> (_ = _ :> (A ∧ (B ∧ C))) :=
whisker_right _ (ap02 _ (!con.right_inv ⬝ !con.right_inv⁻¹))
definition glue2_eq (b : B) : glue23 b pt = glue12 pt b :> (_ = _ :> (A ∧ (B ∧ C))) :=
!con_idp⁻¹ ⬝ !ap_mk_right⁻¹ ◾ !con.right_inv⁻¹
definition glue3_eq (c : C) : glue31 c pt = glue23 pt c :> (_ = _ :> (A ∧ (B ∧ C))) :=
!ap_mk_right ◾ !con.right_inv ⬝ !con_idp
local attribute ap_mk_right [reducible]
definition concat3 {A : Type} {x y z : A} {p p' : x = y} {q q' : y = z}
{r r' : p = p'} {s s' : q = q'} : r = r' → s = s' → r ◾ s = r' ◾ s' :=
ap011 concat2
definition glue_eq2 : glue3_eq (pt : A) ⬝ glue2_eq (pt : B) ⬝ glue1_eq (pt : C) = idp :=
begin
unfold [glue1_eq, glue2_eq, glue3_eq],
refine proof ap011 concat2 proof (ap_is_constant_idp _ _ !con.right_inv) qed idp qed ◾
(!idp_con ⬝ proof ap011 concat2 proof (ap_is_constant_idp _ _ !con.right_inv) qed⁻² idp qed) ◾
idp ⬝ _,
refine whisker_right _ _ ⬝ _,
exact ((ap02 (smash.mk (Point C)) (con.right_inv (gluer (Point A))) ⬝ (con.right_inv
(gluer (smash.mk (Point B) (Point A))))⁻¹) ⬝ (ap02 (smash.mk (Point C))
(con.right_inv (gluel (Point B))) ⬝ (con.right_inv
(gluer (smash.mk (Point B) (Point A))))⁻¹)⁻¹) ◾ idp,
{ refine _ ⬝ concat3 idp (con.right_inv (con.right_inv (gluel (Point C)))),
refine proof idp qed ⬝ !con2_con_con2 },
refine !con2_con_con2 ⬝ _,
refine ap (whisker_right _) _ ⬝ whisker_right_idp_left _ _,
refine idp ◾ !inv_con_inv_right ◾ idp ⬝ _,
refine whisker_right _ (!con.assoc ⬝ whisker_left _ (!inv_con_cancel_left ⬝ !ap_inv⁻¹)) ⬝ _,
refine whisker_right _ !ap_con⁻¹ ⬝ !ap_con⁻¹ ⬝ _,
refine ap_is_constant (@is_constant.eq _ _ _ (@is_constant_ap _ _ _ _ _ _)) _ ⬝ !con.right_inv,
constructor, exact gluer
end
definition glue12_cancel (a : A) (b : B) : @glue12 A B C a b ⬝ (glue12 a pt)⁻¹ ⬝ ap (smash.mk a) (gluel pt) = ap (smash.mk a) (gluel b) :=
begin
unfold [glue12],
refine whisker_right _ (whisker_left _ !con_inv ⬝ whisker_left _ (whisker_left _ (ap02 _ !con.right_inv)⁻² ⬝ !con_idp) ⬝ !con_inv_cancel_right) ⬝ _,
refine !ap_con⁻¹ ⬝ ap02 _ !inv_con_cancel_right,
end
definition glue12_cancel_pt_pt : @glue12_cancel A B C pt pt = whisker_right _ !con.right_inv ⬝ !idp_con :=
sorry
definition glue12_over {P : A ∧ (B ∧ C) → Type} (Ppt : Πa b c, P (inl3 a b c))
(P1 : Πa, P (aux1 a))
(P12 : Πa b, Ppt a b pt =[glue12 a b] P1 a)
(a : A) (b : B) : pathover P (Ppt a b pt) (ap (smash.mk a) (gluel b)) (transport P (ap (smash.mk a) (gluel pt)) (Ppt a pt pt)) :=
begin
exact change_path (glue12_cancel a b) (P12 a b ⬝o (P12 a pt)⁻¹ᵒ ⬝o pathover_tr (ap (smash.mk a) (gluel pt)) (Ppt a pt pt))
end
definition glue12_over_pt_pt {P : A ∧ (B ∧ C) → Type} (Ppt : Πa b c, P (inl3 a b c))
(P1 : Πa, P (aux1 a))
(P12 : Πa b, Ppt a b pt =[glue12 a b] P1 a) :
glue12_over Ppt P1 P12 pt pt = pathover_tr (ap (smash.mk pt) (gluel pt)) (Ppt pt pt pt) :=
sorry
definition smash3_rec_mk [unfold 13] {P : A ∧ (B ∧ C) → Type} (Ppt : Πa b c, P (inl3 a b c))
(P1 : Πa, P (aux1 a)) (P2 : Πb, P (aux2 b)) (P3 : Πc, P (aux3 c))
(P12 : Πa b, Ppt a b pt =[glue12 a b] P1 a)
(P23 : Πb c, Ppt pt b c =[glue23 b c] P2 b)
(P31 : Πc a, Ppt a pt c =[glue31 c a] P3 c)
(a : A) (bc : B ∧ C) : P (smash.mk a bc) :=
begin
induction bc with b c b c,
{ exact Ppt a b c },
{ refine transport P _ (Ppt a pt pt), exact ap (smash.mk a) (gluel pt) }, --refine transport P _ (Ppt pt pt pt),
{ refine transport P _ (Ppt a pt pt), exact ap (smash.mk a) (gluer pt) },
{ exact pathover_of_pathover_ap P (smash.mk a) (glue12_over Ppt P1 P12 a b) },
{ exact sorry }
end
definition apd_constant' {A : Type} {B : Type} {a a' : A} (p : a = a') {b : B} : apd (λa, b) p = pathover_of_eq p idp :=
by induction p; reflexivity
definition change_path_eq_of_eq_change_path' {A : Type} {B : A → Type} {a a₂ : A} {p p' : a = a₂} {b : B a} {b₂ : B a₂}
{r : p = p'} {q : b =[p] b₂} {q' : b =[p'] b₂} : change_path r q = q' → q = change_path r⁻¹ q' :=
begin
induction r, intro s, exact s
end
definition change_path_eq_of_eq_change_path {A : Type} {B : A → Type} {a a₂ : A} {p p' : a = a₂} {b : B a} {b₂ : B a₂}
{r : p = p'} {q : b =[p] b₂} {q' : b =[p'] b₂} : change_path r⁻¹ q' = q → q' = change_path r q :=
begin
induction r, intro s, exact s
end
definition pathover_hconcato' {A : Type} {B : A → Type} {a₀₀ a₂₀ a₀₂ a₂₂ : A}
/-a₀₀-/ {p₁₀ : a₀₀ = a₂₀} /-a₂₀-/
{p₀₁ : a₀₀ = a₀₂} /-s₁₁-/ {p₂₁ : a₂₀ = a₂₂}
/-a₀₂-/ {p₁₂ : a₀₂ = a₂₂} /-a₂₂-/
{s₁₁ : square p₁₀ p₁₂ p₀₁ p₂₁}
{b₀₀ : B a₀₀} {b₂₀ : B a₂₀}
{b₀₂ : B a₀₂} {b₂₂ : B a₂₂}
/-b₀₀-/ {q₁₀ : b₀₀ =[p₁₀] b₂₀} /-b₂₀-/
{q₀₁ : b₀₀ =[p₀₁] b₀₂} /-t₁₁-/ {q₂₁ : b₂₀ =[p₂₁] b₂₂}
/-b₀₂-/ {q₁₂ : b₀₂ =[p₁₂] b₂₂} /-b₂₂-/ {p : a₀₀ = a₀₂} {sp : p = p₀₁} {q : b₀₀ =[p] b₀₂}
(r : change_path sp q = q₀₁) (t₁₁ : squareover B (sp ⬝ph s₁₁) q₁₀ q₁₂ q q₂₁) :
squareover B s₁₁ q₁₀ q₁₂ q₀₁ q₂₁ :=
by induction sp; induction r; exact t₁₁
definition pathover_hconcato_right_inv {A : Type} {B : A → Type} {a₀₀ a₂₀ a₀₂ a₀₄ a₂₂ : A}
/-a₀₀-/ {p₁₀ : a₀₀ = a₂₀} /-a₂₀-/
{p₀₁ : a₀₀ = a₀₂} {p₀₃ : a₀₂ = a₀₄} /-s₁₁-/ {p₂₁ : a₂₀ = a₂₂}
/-a₀₂-/ {p₁₂ : a₀₂ = a₂₂} /-a₂₂-/
{s₁₁ : square p₁₀ p₁₂ (p₀₁ ⬝ p₀₃ ⬝ p₀₃⁻¹) p₂₁}
{b₀₀ : B a₀₀} {b₂₀ : B a₂₀}
{b₀₂ : B a₀₂} {b₂₂ : B a₂₂} {b₀₄ : B a₀₄}
/-b₀₀-/ {q₁₀ : b₀₀ =[p₁₀] b₂₀} /-b₂₀-/
{q₀₁ : b₀₀ =[p₀₁] b₀₂} {q₀₃ : b₀₂ =[p₀₃] b₀₄} /-t₁₁-/ {q₂₁ : b₂₀ =[p₂₁] b₂₂}
/-b₀₂-/ {q₁₂ : b₀₂ =[p₁₂] b₂₂} /-b₂₂-/ --{p : a₀₀ = a₀₂} {sp : p = p₀₁} {q : b₀₀ =[p] b₀₂}
(t₁₁ : squareover B (!con_inv_cancel_right⁻¹ ⬝ph s₁₁) q₁₀ q₁₂ q₀₁ q₂₁) :
squareover B s₁₁ q₁₀ q₁₂ (q₀₁ ⬝o q₀₃ ⬝o q₀₃⁻¹ᵒ) q₂₁ :=
begin
exact sorry
end
definition smash3_rec_23 {P : A ∧ (B ∧ C) → Type} (Ppt : Πa b c, P (inl3 a b c))
(P1 : Πa, P (aux1 a)) (P2 : Πb, P (aux2 b)) (P3 : Πc, P (aux3 c))
(P12 : Πa b, Ppt a b pt =[glue12 a b] P1 a)
(P23 : Πb c, Ppt pt b c =[glue23 b c] P2 b)
(P31 : Πc a, Ppt a pt c =[glue31 c a] P3 c) (b : B) (c : C) :
pathover P (Ppt pt b c) (gluer' (smash.mk b c) (smash.mk' pt pt)) (Ppt pt pt pt) :=
begin
refine change_path _ (P23 b c ⬝o ((P23 b pt)⁻¹ᵒ ⬝o P12 pt b) ⬝o (P12 pt pt)⁻¹ᵒ),
refine whisker_left _ (whisker_right _ !glue2_eq⁻² ⬝ !con.left_inv) ◾ (ap02 _ !con.right_inv ◾ !con.right_inv)⁻² ⬝ _,
reflexivity
end
definition smash3_rec {P : A ∧ (B ∧ C) → Type} (Ppt : Πa b c, P (inl3 a b c))
(P1 : Πa, P (aux1 a)) (P2 : Πb, P (aux2 b)) (P3 : Πc, P (aux3 c))
(P12 : Πa b, Ppt a b pt =[glue12 a b] P1 a)
(P23 : Πb c, Ppt pt b c =[glue23 b c] P2 b)
(P31 : Πc a, Ppt a pt c =[glue31 c a] P3 c)
(x : A ∧ (B ∧ C)) : P x :=
begin
induction x using smash.rec' with a bc a bc,
{ exact smash3_rec_mk Ppt P1 P2 P3 P12 P23 P31 a bc },
{ refine change_path _ (P31 pt a ⬝o (P31 pt pt)⁻¹ᵒ),
refine (whisker_right _ (ap02 _ !con.right_inv)) ◾ (ap02 _ !con.right_inv ◾ !con.right_inv)⁻² ⬝ _, apply idp_con },
{ induction bc using smash.rec' with b c b c,
{ exact smash3_rec_23 Ppt P1 P2 P3 P12 P23 P31 b c },
{ apply pathover_pathover,
refine ap (pathover_ap _ _) (!apd_con ⬝ ap011 concato !rec_gluel
(!apd_inv ⬝ ap inverseo !rec_gluel ⬝ !pathover_of_pathover_ap_invo⁻¹) ⬝ !pathover_of_pathover_ap_cono⁻¹) ⬝pho _,
refine _ ⬝hop (ap (pathover_ap _ _) !apd_constant')⁻¹,
refine to_right_inv (pathover_compose P (smash.mk pt) _ _ _) _ ⬝pho _,
apply squareover_change_path_left,
refine !change_path_cono⁻¹ ⬝pho _,
apply squareover_change_path_left,
refine ap (λx, _ ⬝o x⁻¹ᵒ) !glue12_over_pt_pt ⬝pho _,
apply pathover_hconcato_right_inv,
exact sorry },
{ exact sorry }}
end
/- 3rd attempt, proving an induction principle without the aux-points induction principle for the smash -/
-- definition smash3_rec_mk [unfold 10] {P : A ∧ (B ∧ C) → Type} (Ppt : Πa b c, P (smash.mk a (smash.mk b c)))
-- (P12 : Πa b, Ppt a b pt =[glue12 a b] Ppt pt pt pt)
-- (P23 : Πb c, Ppt pt b c =[glue23 b c] Ppt pt pt pt)
-- (P31 : Πc a, Ppt a pt c =[glue31 c a] Ppt pt pt pt)
-- (a : A) (bc : B ∧ C) : P (smash.mk a bc) :=
-- begin
-- induction bc with b c b c,
-- { exact Ppt a b c },
-- { refine transport P _ (Ppt a pt pt), exact ap (smash.mk a) (gluel pt) }, --refine transport P _ (Ppt pt pt pt),
-- { refine transport P _ (Ppt a pt pt), exact ap (smash.mk a) (gluer pt) },
-- { },
-- { exact sorry }
-- end
-- definition smash3_rec {P : A ∧ (B ∧ C) → Type} (Ppt : Πa b c, P (smash.mk a (smash.mk b c)))
-- (P12 : Πa b, Ppt a b pt =[glue12 a b] Ppt pt pt pt)
-- (P23 : Πb c, Ppt pt b c =[glue23 b c] Ppt pt pt pt)
-- (P31 : Πc a, Ppt a pt c =[glue31 c a] Ppt pt pt pt)
-- (x : A ∧ (B ∧ C)) : P x :=
-- begin
-- induction x using smash.rec' with a bc a bc,
-- { exact smash3_rec_mk Ppt P12 P23 P31 a bc },
-- { esimp, exact sorry },
-- { induction bc using smash.rec' with b c b c,
-- { refine P23 b c },
-- { apply pathover_pathover,
-- refine ap (pathover_ap _ _) (!apd_con ⬝ ap011 concato !rec_gluel (!apd_inv ⬝ ap inverseo !rec_gluel)) ⬝pho _,
-- refine _ ⬝hop (ap (pathover_ap _ _) !apd_constant')⁻¹,
-- check_expr (natural_square (λ a, gluer' a pt) (gluel' b pt)),
-- },
-- --!rec_gluel (!apd_inv ⬝ ap inverseo !rec_gluel)
-- { }}
-- end
end smash
|
88b08a613b81a4b7404a71e14764b0c48c11a167 | b7f22e51856f4989b970961f794f1c435f9b8f78 | /tests/lean/run/blast_unit_edges.lean | 8de83de11450d7ddc47956456eb240202cf0cd47 | [
"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 | 657 | lean | -- Testing all possible cases of [unit_action]
set_option blast.strategy "unit"
universes l1 l2
variables {A B C : Prop}
variables {X : Type.{l1}} {Y : Type.{l2}}
variables {P : Y → Prop}
-- Types as antecedents
example (H : X → A) (x : X) : A := by blast
example (H : X → A → B) (x : X) (nb : ¬ B) : ¬ A := by blast
example (H : A → X → B → C) (x : X) (a : A) (nc : ¬ C) : ¬ B := by blast
-- Universally quantified facts
example (H : A → X → B → ∀ y : Y, P y) (x : X) (a : A) (nc : ¬ ∀ y : Y, P y) : ¬ B := by blast
example (H : A → X → B → ¬ ∀ y : Y, P y) (x : X) (a : A) (nc : ∀ y : Y, P y) : ¬ B := by blast
|
4fd13029e999301cc44d771dc0f825cef331c56a | b147e1312077cdcfea8e6756207b3fa538982e12 | /analysis/topology/topological_structures.lean | e772685d1faae62a0b57536103bc34544153e077 | [
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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
Theory of topological monoids, groups and rings.
TODO: generalize `topological_monoid` and `topological_add_monoid` to semigroups, or add a type class
`topological_operator α (*)`.
-/
import algebra.big_operators
import order.liminf_limsup
import analysis.topology.topological_space analysis.topology.continuity analysis.topology.uniform_space
open classical set lattice filter topological_space
local attribute [instance] classical.prop_decidable
universes u v w
variables {α : Type u} {β : Type v} {γ : Type w}
lemma dense_or_discrete [linear_order α] {a₁ a₂ : α} (h : a₁ < a₂) :
(∃a, a₁ < a ∧ a < a₂) ∨ ((∀a>a₁, a ≥ a₂) ∧ (∀a<a₂, a ≤ a₁)) :=
classical.or_iff_not_imp_left.2 $ assume h,
⟨assume a ha₁, le_of_not_gt $ assume ha₂, h ⟨a, ha₁, ha₂⟩,
assume a ha₂, le_of_not_gt $ assume ha₁, h ⟨a, ha₁, ha₂⟩⟩
section topological_monoid
/-- A topological monoid is a monoid in which the multiplication is continuous as a function
`α × α → α`. -/
class topological_monoid (α : Type u) [topological_space α] [monoid α] : Prop :=
(continuous_mul : continuous (λp:α×α, p.1 * p.2))
section
variables [topological_space α] [monoid α] [topological_monoid α]
lemma continuous_mul' : continuous (λp:α×α, p.1 * p.2) :=
topological_monoid.continuous_mul α
lemma continuous_mul [topological_space β] {f : β → α} {g : β → α}
(hf : continuous f) (hg : continuous g) :
continuous (λx, f x * g x) :=
(hf.prod_mk hg).comp continuous_mul'
lemma tendsto_mul' {a b : α} : tendsto (λp:α×α, p.fst * p.snd) (nhds (a, b)) (nhds (a * b)) :=
continuous_iff_tendsto.mp (topological_monoid.continuous_mul α) (a, b)
lemma tendsto_mul {f : β → α} {g : β → α} {x : filter β} {a b : α}
(hf : tendsto f x (nhds a)) (hg : tendsto g x (nhds b)) :
tendsto (λx, f x * g x) x (nhds (a * b)) :=
(hf.prod_mk hg).comp (by rw [←nhds_prod_eq]; exact tendsto_mul')
lemma tendsto_list_prod {f : γ → β → α} {x : filter β} {a : γ → α} :
∀l:list γ, (∀c∈l, tendsto (f c) x (nhds (a c))) →
tendsto (λb, (l.map (λc, f c b)).prod) x (nhds ((l.map a).prod))
| [] _ := by simp [tendsto_const_nhds]
| (f :: l) h :=
begin
simp,
exact tendsto_mul
(h f (list.mem_cons_self _ _))
(tendsto_list_prod l (assume c hc, h c (list.mem_cons_of_mem _ hc)))
end
lemma continuous_list_prod [topological_space β] {f : γ → β → α} (l : list γ)
(h : ∀c∈l, continuous (f c)) :
continuous (λa, (l.map (λc, f c a)).prod) :=
continuous_iff_tendsto.2 $ assume x, tendsto_list_prod l $ assume c hc,
continuous_iff_tendsto.1 (h c hc) x
end
section
variables [topological_space α] [comm_monoid α] [topological_monoid α]
lemma tendsto_multiset_prod {f : γ → β → α} {x : filter β} {a : γ → α} (s : multiset γ) :
(∀c∈s, tendsto (f c) x (nhds (a c))) →
tendsto (λb, (s.map (λc, f c b)).prod) x (nhds ((s.map a).prod)) :=
quot.induction_on s $ by simp; exact tendsto_list_prod
lemma tendsto_finset_prod {f : γ → β → α} {x : filter β} {a : γ → α} (s : finset γ) :
(∀c∈s, tendsto (f c) x (nhds (a c))) → tendsto (λb, s.prod (λc, f c b)) x (nhds (s.prod a)) :=
tendsto_multiset_prod _
lemma continuous_multiset_prod [topological_space β] {f : γ → β → α} (s : multiset γ) :
(∀c∈s, continuous (f c)) → continuous (λa, (s.map (λc, f c a)).prod) :=
quot.induction_on s $ by simp; exact continuous_list_prod
lemma continuous_finset_prod [topological_space β] {f : γ → β → α} (s : finset γ) :
(∀c∈s, continuous (f c)) → continuous (λa, s.prod (λc, f c a)) :=
continuous_multiset_prod _
end
end topological_monoid
section topological_add_monoid
/-- A topological (additive) monoid is a monoid in which the addition is
continuous as a function `α × α → α`. -/
class topological_add_monoid (α : Type u) [topological_space α] [add_monoid α] : Prop :=
(continuous_add : continuous (λp:α×α, p.1 + p.2))
section
variables [topological_space α] [add_monoid α] [topological_add_monoid α]
lemma continuous_add' : continuous (λp:α×α, p.1 + p.2) :=
topological_add_monoid.continuous_add α
lemma continuous_add [topological_space β] {f : β → α} {g : β → α}
(hf : continuous f) (hg : continuous g) : continuous (λx, f x + g x) :=
(hf.prod_mk hg).comp continuous_add'
lemma tendsto_add' {a b : α} : tendsto (λp:α×α, p.fst + p.snd) (nhds (a, b)) (nhds (a + b)) :=
continuous_iff_tendsto.mp (topological_add_monoid.continuous_add α) (a, b)
lemma tendsto_add {f : β → α} {g : β → α} {x : filter β} {a b : α}
(hf : tendsto f x (nhds a)) (hg : tendsto g x (nhds b)) :
tendsto (λx, f x + g x) x (nhds (a + b)) :=
(hf.prod_mk hg).comp (by rw [←nhds_prod_eq]; exact tendsto_add')
lemma tendsto_list_sum {f : γ → β → α} {x : filter β} {a : γ → α} :
∀l:list γ, (∀c∈l, tendsto (f c) x (nhds (a c))) →
tendsto (λb, (l.map (λc, f c b)).sum) x (nhds ((l.map a).sum))
| [] _ := by simp [tendsto_const_nhds]
| (f :: l) h :=
begin
simp,
exact tendsto_add
(h f (list.mem_cons_self _ _))
(tendsto_list_sum l (assume c hc, h c (list.mem_cons_of_mem _ hc)))
end
lemma continuous_list_sum [topological_space β] {f : γ → β → α} (l : list γ)
(h : ∀c∈l, continuous (f c)) : continuous (λa, (l.map (λc, f c a)).sum) :=
continuous_iff_tendsto.2 $ assume x, tendsto_list_sum l $ assume c hc,
continuous_iff_tendsto.1 (h c hc) x
end
section
variables [topological_space α] [add_comm_monoid α] [topological_add_monoid α]
lemma tendsto_multiset_sum {f : γ → β → α} {x : filter β} {a : γ → α} (s : multiset γ) :
(∀c∈s, tendsto (f c) x (nhds (a c))) →
tendsto (λb, (s.map (λc, f c b)).sum) x (nhds ((s.map a).sum)) :=
quot.induction_on s $ by simp; exact tendsto_list_sum
lemma tendsto_finset_sum {f : γ → β → α} {x : filter β} {a : γ → α} (s : finset γ) :
(∀c∈s, tendsto (f c) x (nhds (a c))) → tendsto (λb, s.sum (λc, f c b)) x (nhds (s.sum a)) :=
tendsto_multiset_sum _
lemma continuous_multiset_sum [topological_space β] {f : γ → β → α} (s : multiset γ) :
(∀c∈s, continuous (f c)) → continuous (λa, (s.map (λc, f c a)).sum) :=
quot.induction_on s $ by simp; exact continuous_list_sum
lemma continuous_finset_sum [topological_space β] {f : γ → β → α} (s : finset γ) :
(∀c∈s, continuous (f c)) → continuous (λa, s.sum (λc, f c a)) :=
continuous_multiset_sum _
end
end topological_add_monoid
section topological_add_group
/-- A topological (additive) group is a group in which the addition and
negation operations are continuous. -/
class topological_add_group (α : Type u) [topological_space α] [add_group α]
extends topological_add_monoid α : Prop :=
(continuous_neg : continuous (λa:α, -a))
variables [topological_space α] [add_group α]
lemma continuous_neg' [topological_add_group α] : continuous (λx:α, - x) :=
topological_add_group.continuous_neg α
lemma continuous_neg [topological_add_group α] [topological_space β] {f : β → α}
(hf : continuous f) : continuous (λx, - f x) :=
hf.comp continuous_neg'
lemma tendsto_neg [topological_add_group α] {f : β → α} {x : filter β} {a : α}
(hf : tendsto f x (nhds a)) : tendsto (λx, - f x) x (nhds (- a)) :=
hf.comp (continuous_iff_tendsto.mp (topological_add_group.continuous_neg α) a)
lemma continuous_sub [topological_add_group α] [topological_space β] {f : β → α} {g : β → α}
(hf : continuous f) (hg : continuous g) : continuous (λx, f x - g x) :=
by simp; exact continuous_add hf (continuous_neg hg)
lemma continuous_sub' [topological_add_group α] : continuous (λp:α×α, p.1 - p.2) :=
continuous_sub continuous_fst continuous_snd
lemma tendsto_sub [topological_add_group α] {f : β → α} {g : β → α} {x : filter β} {a b : α}
(hf : tendsto f x (nhds a)) (hg : tendsto g x (nhds b)) : tendsto (λx, f x - g x) x (nhds (a - b)) :=
by simp; exact tendsto_add hf (tendsto_neg hg)
end topological_add_group
section uniform_add_group
/-- A uniform (additive) group is a group in which the addition and negation are
uniformly continuous. -/
class uniform_add_group (α : Type u) [uniform_space α] [add_group α] : Prop :=
(uniform_continuous_sub : uniform_continuous (λp:α×α, p.1 - p.2))
theorem uniform_add_group.mk' {α} [uniform_space α] [add_group α]
(h₁ : uniform_continuous (λp:α×α, p.1 + p.2))
(h₂ : uniform_continuous (λp:α, -p)) : uniform_add_group α :=
⟨(uniform_continuous_fst.prod_mk (uniform_continuous_snd.comp h₂)).comp h₁⟩
variables [uniform_space α] [add_group α]
lemma uniform_continuous_sub' [uniform_add_group α] : uniform_continuous (λp:α×α, p.1 - p.2) :=
uniform_add_group.uniform_continuous_sub α
lemma uniform_continuous_sub [uniform_add_group α] [uniform_space β] {f : β → α} {g : β → α}
(hf : uniform_continuous f) (hg : uniform_continuous g) : uniform_continuous (λx, f x - g x) :=
(hf.prod_mk hg).comp uniform_continuous_sub'
lemma uniform_continuous_neg [uniform_add_group α] [uniform_space β] {f : β → α}
(hf : uniform_continuous f) : uniform_continuous (λx, - f x) :=
have uniform_continuous (λx, 0 - f x),
from uniform_continuous_sub uniform_continuous_const hf,
by simp * at *
lemma uniform_continuous_neg' [uniform_add_group α] : uniform_continuous (λx:α, - x) :=
uniform_continuous_neg uniform_continuous_id
lemma uniform_continuous_add [uniform_add_group α] [uniform_space β] {f : β → α} {g : β → α}
(hf : uniform_continuous f) (hg : uniform_continuous g) : uniform_continuous (λx, f x + g x) :=
have uniform_continuous (λx, f x - - g x),
from uniform_continuous_sub hf $ uniform_continuous_neg hg,
by simp * at *
lemma uniform_continuous_add' [uniform_add_group α] : uniform_continuous (λp:α×α, p.1 + p.2) :=
uniform_continuous_add uniform_continuous_fst uniform_continuous_snd
instance uniform_add_group.to_topological_add_group [uniform_add_group α] : topological_add_group α :=
{ continuous_add := uniform_continuous_add'.continuous,
continuous_neg := uniform_continuous_neg'.continuous }
end uniform_add_group
/-- A topological semiring is a semiring where addition and multiplication are continuous. -/
class topological_semiring (α : Type u) [topological_space α] [semiring α]
extends topological_add_monoid α, topological_monoid α : Prop
/-- A topological ring is a ring where the ring operations are continuous. -/
class topological_ring (α : Type u) [topological_space α] [ring α]
extends topological_add_monoid α, topological_monoid α : Prop :=
(continuous_neg : continuous (λa:α, -a))
instance topological_ring.to_topological_semiring
[topological_space α] [ring α] [t : topological_ring α] : topological_semiring α := {..t}
instance topological_ring.to_topological_add_group
[topological_space α] [ring α] [t : topological_ring α] : topological_add_group α := {..t}
/-- (Partially) ordered topology
Also called: partially ordered spaces (pospaces).
Usually ordered topology is used for a topology on linear ordered spaces, where the open intervals
are open sets. This is a generalization as for each linear order where open interals are open sets,
the order relation is closed. -/
class ordered_topology (α : Type*) [t : topological_space α] [partial_order α] : Prop :=
(is_closed_le' : is_closed (λp:α×α, p.1 ≤ p.2))
section ordered_topology
section partial_order
variables [topological_space α] [partial_order α] [t : ordered_topology α]
include t
lemma is_closed_le [topological_space β] {f g : β → α} (hf : continuous f) (hg : continuous g) :
is_closed {b | f b ≤ g b} :=
continuous_iff_is_closed.mp (hf.prod_mk hg) _ t.is_closed_le'
lemma is_closed_le' (a : α) : is_closed {b | b ≤ a} :=
is_closed_le continuous_id continuous_const
lemma is_closed_ge' (a : α) : is_closed {b | a ≤ b} :=
is_closed_le continuous_const continuous_id
lemma is_closed_Icc {a b : α} : is_closed (Icc a b) :=
is_closed_inter (is_closed_ge' a) (is_closed_le' b)
lemma le_of_tendsto {f g : β → α} {b : filter β} {a₁ a₂ : α} (hb : b ≠ ⊥)
(hf : tendsto f b (nhds a₁)) (hg : tendsto g b (nhds a₂)) (h : {b | f b ≤ g b} ∈ b.sets) :
a₁ ≤ a₂ :=
have tendsto (λb, (f b, g b)) b (nhds (a₁, a₂)),
by rw [nhds_prod_eq]; exact hf.prod_mk hg,
show (a₁, a₂) ∈ {p:α×α | p.1 ≤ p.2},
from mem_of_closed_of_tendsto hb this t.is_closed_le' h
private lemma is_closed_eq : is_closed {p : α × α | p.1 = p.2} :=
by simp [le_antisymm_iff];
exact is_closed_inter t.is_closed_le' (is_closed_le continuous_snd continuous_fst)
instance ordered_topology.to_t2_space : t2_space α :=
{ t2 :=
have is_open {p : α × α | p.1 ≠ p.2}, from is_closed_eq,
assume a b h,
let ⟨u, v, hu, hv, ha, hb, h⟩ := is_open_prod_iff.mp this a b h in
⟨u, v, hu, hv, ha, hb,
set.eq_empty_iff_forall_not_mem.2 $ assume a ⟨h₁, h₂⟩,
have a ≠ a, from @h (a, a) ⟨h₁, h₂⟩,
this rfl⟩ }
@[simp] lemma closure_le_eq [topological_space β] {f g : β → α} (hf : continuous f) (hg : continuous g) :
closure {b | f b ≤ g b} = {b | f b ≤ g b} :=
closure_eq_iff_is_closed.mpr $ is_closed_le hf hg
end partial_order
section linear_order
variables [topological_space α] [linear_order α] [t : ordered_topology α]
include t
lemma is_open_lt [topological_space β] {f g : β → α} (hf : continuous f) (hg : continuous g) :
is_open {b | f b < g b} :=
by simp [lt_iff_not_ge, -not_le]; exact is_closed_le hg hf
lemma is_open_Ioo {a b : α} : is_open (Ioo a b) :=
is_open_and (is_open_lt continuous_const continuous_id) (is_open_lt continuous_id continuous_const)
lemma is_open_Iio {a : α} : is_open (Iio a) :=
is_open_lt continuous_id continuous_const
end linear_order
section decidable_linear_order
variables [topological_space α] [decidable_linear_order α] [t : ordered_topology α]
[topological_space β] {f g : β → α}
include t
section
variables (hf : continuous f) (hg : continuous g)
include hf hg
lemma frontier_le_subset_eq : frontier {b | f b ≤ g b} ⊆ {b | f b = g b} :=
assume b ⟨hb₁, hb₂⟩,
le_antisymm
(by simpa [closure_le_eq hf hg] using hb₁)
(not_lt.1 $ assume hb : f b < g b,
have {b | f b < g b} ⊆ interior {b | f b ≤ g b},
from (subset_interior_iff_subset_of_open $ is_open_lt hf hg).mpr $ assume x, le_of_lt,
have b ∈ interior {b | f b ≤ g b}, from this hb,
by exact hb₂ this)
lemma continuous_max : continuous (λb, max (f b) (g b)) :=
have ∀b∈frontier {b | f b ≤ g b}, g b = f b, from assume b hb, (frontier_le_subset_eq hf hg hb).symm,
continuous_if this hg hf
lemma continuous_min : continuous (λb, min (f b) (g b)) :=
have ∀b∈frontier {b | f b ≤ g b}, f b = g b, from assume b hb, frontier_le_subset_eq hf hg hb,
continuous_if this hf hg
end
lemma tendsto_max {b : filter β} {a₁ a₂ : α} (hf : tendsto f b (nhds a₁)) (hg : tendsto g b (nhds a₂)) :
tendsto (λb, max (f b) (g b)) b (nhds (max a₁ a₂)) :=
show tendsto ((λp:α×α, max p.1 p.2) ∘ (λb, (f b, g b))) b (nhds (max a₁ a₂)),
from (hf.prod_mk hg).comp
begin
rw [←nhds_prod_eq],
from continuous_iff_tendsto.mp (continuous_max continuous_fst continuous_snd) _
end
lemma tendsto_min {b : filter β} {a₁ a₂ : α} (hf : tendsto f b (nhds a₁)) (hg : tendsto g b (nhds a₂)) :
tendsto (λb, min (f b) (g b)) b (nhds (min a₁ a₂)) :=
show tendsto ((λp:α×α, min p.1 p.2) ∘ (λb, (f b, g b))) b (nhds (min a₁ a₂)),
from (hf.prod_mk hg).comp
begin
rw [←nhds_prod_eq],
from continuous_iff_tendsto.mp (continuous_min continuous_fst continuous_snd) _
end
end decidable_linear_order
end ordered_topology
/-- Topologies generated by the open intervals.
This is restricted to linear orders. Only then it is guaranteed that they are also a ordered
topology. -/
class orderable_topology (α : Type*) [t : topological_space α] [partial_order α] : Prop :=
(topology_eq_generate_intervals :
t = generate_from {s | ∃a, s = {b : α | a < b} ∨ s = {b : α | b < a}})
section orderable_topology
section partial_order
variables [topological_space α] [partial_order α] [t : orderable_topology α]
include t
lemma is_open_iff_generate_intervals {s : set α} :
is_open s ↔ generate_open {s | ∃a, s = {b : α | a < b} ∨ s = {b : α | b < a}} s :=
by rw [t.topology_eq_generate_intervals]; refl
lemma is_open_lt' (a : α) : is_open {b:α | a < b} :=
by rw [@is_open_iff_generate_intervals α _ _ t]; exact generate_open.basic _ ⟨a, or.inl rfl⟩
lemma is_open_gt' (a : α) : is_open {b:α | b < a} :=
by rw [@is_open_iff_generate_intervals α _ _ t]; exact generate_open.basic _ ⟨a, or.inr rfl⟩
lemma lt_mem_nhds {a b : α} (h : a < b) : {b | a < b} ∈ (nhds b).sets :=
mem_nhds_sets (is_open_lt' _) h
lemma le_mem_nhds {a b : α} (h : a < b) : {b | a ≤ b} ∈ (nhds b).sets :=
(nhds b).upwards_sets (lt_mem_nhds h) $ assume b hb, le_of_lt hb
lemma gt_mem_nhds {a b : α} (h : a < b) : {a | a < b} ∈ (nhds a).sets :=
mem_nhds_sets (is_open_gt' _) h
lemma ge_mem_nhds {a b : α} (h : a < b) : {a | a ≤ b} ∈ (nhds a).sets :=
(nhds a).upwards_sets (gt_mem_nhds h) $ assume b hb, le_of_lt hb
lemma nhds_eq_orderable {a : α} :
nhds a = (⨅b<a, principal {c | b < c}) ⊓ (⨅b>a, principal {c | c < b}) :=
by rw [t.topology_eq_generate_intervals, nhds_generate_from];
from le_antisymm
(le_inf
(le_infi $ assume b, le_infi $ assume hb,
infi_le_of_le {c : α | b < c} $ infi_le _ ⟨hb, b, or.inl rfl⟩)
(le_infi $ assume b, le_infi $ assume hb,
infi_le_of_le {c : α | c < b} $ infi_le _ ⟨hb, b, or.inr rfl⟩))
(le_infi $ assume s, le_infi $ assume ⟨ha, b, hs⟩,
match s, ha, hs with
| _, h, (or.inl rfl) := inf_le_left_of_le $ infi_le_of_le b $ infi_le _ h
| _, h, (or.inr rfl) := inf_le_right_of_le $ infi_le_of_le b $ infi_le _ h
end)
lemma tendsto_orderable {f : β → α} {a : α} {x : filter β} :
tendsto f x (nhds a) ↔ (∀a'<a, {b | a' < f b} ∈ x.sets) ∧ (∀a'>a, {b | a' > f b} ∈ x.sets) :=
by simp [@nhds_eq_orderable α _ _, tendsto_inf, tendsto_infi, tendsto_principal]
/-- Also known as squeeze or sandwich theorem. -/
lemma tendsto_of_tendsto_of_tendsto_of_le_of_le {f g h : β → α} {b : filter β} {a : α}
(hg : tendsto g b (nhds a)) (hh : tendsto h b (nhds a))
(hgf : {b | g b ≤ f b} ∈ b.sets) (hfh : {b | f b ≤ h b} ∈ b.sets) :
tendsto f b (nhds a) :=
tendsto_orderable.2
⟨assume a' h',
have {b : β | a' < g b} ∈ b.sets, from (tendsto_orderable.1 hg).left a' h',
by filter_upwards [this, hgf] assume a, lt_of_lt_of_le,
assume a' h',
have {b : β | h b < a'} ∈ b.sets, from (tendsto_orderable.1 hh).right a' h',
by filter_upwards [this, hfh] assume a h₁ h₂, lt_of_le_of_lt h₂ h₁⟩
lemma nhds_orderable_unbounded {a : α} (hu : ∃u, a < u) (hl : ∃l, l < a) :
nhds a = (⨅l (h₂ : l < a) u (h₂ : a < u), principal {x | l < x ∧ x < u }) :=
let ⟨u, hu⟩ := hu, ⟨l, hl⟩ := hl in
calc nhds a = (⨅b<a, principal {c | b < c}) ⊓ (⨅b>a, principal {c | c < b}) : nhds_eq_orderable
... = (⨅b<a, principal {c | b < c} ⊓ (⨅b>a, principal {c | c < b})) :
binfi_inf hl
... = (⨅l<a, (⨅u>a, principal {c | c < u} ⊓ principal {c | l < c})) :
begin
congr, funext x,
congr, funext hx,
rw [inf_comm],
apply binfi_inf hu
end
... = _ : by simp [inter_comm]; refl
lemma tendsto_orderable_unbounded {f : β → α} {a : α} {x : filter β}
(hu : ∃u, a < u) (hl : ∃l, l < a) (h : ∀l u, l < a → a < u → {b | l < f b ∧ f b < u } ∈ x.sets) :
tendsto f x (nhds a) :=
by rw [nhds_orderable_unbounded hu hl];
from (tendsto_infi.2 $ assume l, tendsto_infi.2 $ assume hl,
tendsto_infi.2 $ assume u, tendsto_infi.2 $ assume hu, tendsto_principal.2 $ h l u hl hu)
end partial_order
theorem induced_orderable_topology' {α : Type u} {β : Type v}
[partial_order α] [ta : topological_space β] [partial_order β] [orderable_topology β]
(f : α → β) (hf : ∀ {x y}, f x < f y ↔ x < y)
(H₁ : ∀ {a x}, x < f a → ∃ b < a, x ≤ f b)
(H₂ : ∀ {a x}, f a < x → ∃ b > a, f b ≤ x) :
@orderable_topology _ (induced f ta) _ :=
begin
letI := induced f ta,
refine ⟨eq_of_nhds_eq_nhds (λ a, _)⟩,
rw [nhds_induced_eq_vmap, nhds_generate_from, @nhds_eq_orderable β _ _], apply le_antisymm,
{ rw [← map_le_iff_le_vmap],
refine le_inf _ _; refine le_infi (λ x, le_infi $ λ h, le_principal_iff.2 _); simp,
{ rcases H₁ h with ⟨b, ab, xb⟩,
refine mem_infi_sets _ (mem_infi_sets ⟨ab, b, or.inl rfl⟩ (mem_principal_sets.2 _)),
exact λ c hc, lt_of_le_of_lt xb (hf.2 hc) },
{ rcases H₂ h with ⟨b, ab, xb⟩,
refine mem_infi_sets _ (mem_infi_sets ⟨ab, b, or.inr rfl⟩ (mem_principal_sets.2 _)),
exact λ c hc, lt_of_lt_of_le (hf.2 hc) xb } },
refine le_infi (λ s, le_infi $ λ hs, le_principal_iff.2 _),
rcases hs with ⟨ab, b, rfl|rfl⟩,
{ exact mem_vmap_sets.2 ⟨{x | f b < x},
mem_inf_sets_of_left $ mem_infi_sets _ $ mem_infi_sets (hf.2 ab) $ mem_principal_self _,
λ x, hf.1⟩ },
{ exact mem_vmap_sets.2 ⟨{x | x < f b},
mem_inf_sets_of_right $ mem_infi_sets _ $ mem_infi_sets (hf.2 ab) $ mem_principal_self _,
λ x, hf.1⟩ }
end
theorem induced_orderable_topology {α : Type u} {β : Type v}
[partial_order α] [ta : topological_space β] [partial_order β] [orderable_topology β]
(f : α → β) (hf : ∀ {x y}, f x < f y ↔ x < y)
(H : ∀ {x y}, x < y → ∃ a, x < f a ∧ f a < y) :
@orderable_topology _ (induced f ta) _ :=
induced_orderable_topology' f @hf
(λ a x xa, let ⟨b, xb, ba⟩ := H xa in ⟨b, hf.1 ba, le_of_lt xb⟩)
(λ a x ax, let ⟨b, ab, bx⟩ := H ax in ⟨b, hf.1 ab, le_of_lt bx⟩)
lemma nhds_top_orderable [topological_space α] [order_top α] [orderable_topology α] :
nhds (⊤:α) = (⨅l (h₂ : l < ⊤), principal {x | l < x}) :=
by rw [@nhds_eq_orderable α _ _]; simp [(>)]
lemma nhds_bot_orderable [topological_space α] [order_bot α] [orderable_topology α] :
nhds (⊥:α) = (⨅l (h₂ : ⊥ < l), principal {x | x < l}) :=
by rw [@nhds_eq_orderable α _ _]; simp
section linear_order
variables [topological_space α] [ord : decidable_linear_order α] [t : orderable_topology α]
include t
lemma mem_nhds_orderable_dest {a : α} {s : set α} (hs : s ∈ (nhds a).sets) :
((∃u, u>a) → ∃u, a < u ∧ ∀b, a ≤ b → b < u → b ∈ s) ∧
((∃l, l<a) → ∃l, l < a ∧ ∀b, l < b → b ≤ a → b ∈ s) :=
let ⟨t₁, ht₁, t₂, ht₂, hts⟩ :=
mem_inf_sets.mp $ by rw [@nhds_eq_orderable α _ _ _] at hs; exact hs in
have ht₁ : ((∃l, l<a) → ∃l, l < a ∧ ∀b, l < b → b ∈ t₁) ∧ (∀b, a ≤ b → b ∈ t₁),
from infi_sets_induct ht₁
(by simp {contextual := tt})
(assume a' s₁ s₂ hs₁ ⟨hs₂, hs₃⟩,
begin
by_cases a' < a,
{ simp [h] at hs₁,
exact ⟨assume hx, let ⟨u, hu₁, hu₂⟩ := hs₂ hx in
⟨max u a', max_lt hu₁ h, assume b hb,
⟨hs₁ $ lt_of_le_of_lt (le_max_right _ _) hb,
hu₂ _ $ lt_of_le_of_lt (le_max_left _ _) hb⟩⟩,
assume b hb, ⟨hs₁ $ lt_of_lt_of_le h hb, hs₃ _ hb⟩⟩ },
{ simp [h] at hs₁, simp [hs₁],
exact ⟨by simpa using hs₂, hs₃⟩ }
end)
(assume s₁ s₂ h ih, and.intro
(assume hx, let ⟨u, hu₁, hu₂⟩ := ih.left hx in ⟨u, hu₁, assume b hb, h $ hu₂ _ hb⟩)
(assume b hb, h $ ih.right _ hb)),
have ht₂ : ((∃u, u>a) → ∃u, a < u ∧ ∀b, b < u → b ∈ t₂) ∧ (∀b, b ≤ a → b ∈ t₂),
from infi_sets_induct ht₂
(by simp {contextual := tt})
(assume a' s₁ s₂ hs₁ ⟨hs₂, hs₃⟩,
begin
by_cases a' > a,
{ simp [h] at hs₁,
exact ⟨assume hx, let ⟨u, hu₁, hu₂⟩ := hs₂ hx in
⟨min u a', lt_min hu₁ h, assume b hb,
⟨hs₁ $ lt_of_lt_of_le hb (min_le_right _ _),
hu₂ _ $ lt_of_lt_of_le hb (min_le_left _ _)⟩⟩,
assume b hb, ⟨hs₁ $ lt_of_le_of_lt hb h, hs₃ _ hb⟩⟩ },
{ simp [h] at hs₁, simp [hs₁],
exact ⟨by simpa using hs₂, hs₃⟩ }
end)
(assume s₁ s₂ h ih, and.intro
(assume hx, let ⟨u, hu₁, hu₂⟩ := ih.left hx in ⟨u, hu₁, assume b hb, h $ hu₂ _ hb⟩)
(assume b hb, h $ ih.right _ hb)),
and.intro
(assume hx, let ⟨u, hu, h⟩ := ht₂.left hx in ⟨u, hu, assume b hb hbu, hts ⟨ht₁.right b hb, h _ hbu⟩⟩)
(assume hx, let ⟨l, hl, h⟩ := ht₁.left hx in ⟨l, hl, assume b hbl hb, hts ⟨h _ hbl, ht₂.right b hb⟩⟩)
lemma mem_nhds_unbounded {a : α} {s : set α} (hu : ∃u, a < u) (hl : ∃l, l < a) :
s ∈ (nhds a).sets ↔ (∃l u, l < a ∧ a < u ∧ ∀b, l < b → b < u → b ∈ s) :=
let ⟨l, hl'⟩ := hl, ⟨u, hu'⟩ := hu in
have nhds a = (⨅p : {l // l < a} × {u // a < u}, principal {x | p.1.val < x ∧ x < p.2.val }),
by simp [nhds_orderable_unbounded hu hl, infi_subtype, infi_prod],
iff.intro
(assume hs, by rw [this] at hs; from infi_sets_induct hs
⟨l, u, hl', hu', by simp⟩
begin
intro p, rcases p with ⟨⟨l, hl⟩, ⟨u, hu⟩⟩,
simp [set.subset_def],
intros s₁ s₂ hs₁ l' hl' u' hu' hs₂,
refine ⟨max l l', _, min u u', _⟩;
simp [*, lt_min_iff, max_lt_iff] {contextual := tt}
end
(assume s₁ s₂ h ⟨l, u, h₁, h₂, h₃⟩, ⟨l, u, h₁, h₂, assume b hu hl, h $ h₃ _ hu hl⟩))
(assume ⟨l, u, hl, hu, h⟩,
by rw [this]; exact mem_infi_sets ⟨⟨l, hl⟩, ⟨u, hu⟩⟩ (assume b ⟨h₁, h₂⟩, h b h₁ h₂))
lemma order_separated {a₁ a₂ : α} (h : a₁ < a₂) :
∃u v : set α, is_open u ∧ is_open v ∧ a₁ ∈ u ∧ a₂ ∈ v ∧ (∀b₁∈u, ∀b₂∈v, b₁ < b₂) :=
match dense_or_discrete h with
| or.inl ⟨a, ha₁, ha₂⟩ := ⟨{a' | a' < a}, {a' | a < a'}, is_open_gt' a, is_open_lt' a, ha₁, ha₂,
assume b₁ h₁ b₂ h₂, lt_trans h₁ h₂⟩
| or.inr ⟨h₁, h₂⟩ := ⟨{a | a < a₂}, {a | a₁ < a}, is_open_gt' a₂, is_open_lt' a₁, h, h,
assume b₁ hb₁ b₂ hb₂,
calc b₁ ≤ a₁ : h₂ _ hb₁
... < a₂ : h
... ≤ b₂ : h₁ _ hb₂⟩
end
instance orderable_topology.to_ordered_topology : ordered_topology α :=
{ is_closed_le' :=
is_open_prod_iff.mpr $ assume a₁ a₂ (h : ¬ a₁ ≤ a₂),
have h : a₂ < a₁, from lt_of_not_ge h,
let ⟨u, v, hu, hv, ha₁, ha₂, h⟩ := order_separated h in
⟨v, u, hv, hu, ha₂, ha₁, assume ⟨b₁, b₂⟩ ⟨h₁, h₂⟩, not_le_of_gt $ h b₂ h₂ b₁ h₁⟩ }
instance orderable_topology.t2_space : t2_space α := by apply_instance
instance orderable_topology.regular_space : regular_space α :=
{ regular := assume s a hs ha,
have -s ∈ (nhds a).sets, from mem_nhds_sets hs ha,
let ⟨h₁, h₂⟩ := mem_nhds_orderable_dest this in
have ∃t:set α, is_open t ∧ (∀l∈ s, l < a → l ∈ t) ∧ nhds a ⊓ principal t = ⊥,
from by_cases
(assume h : ∃l, l < a,
let ⟨l, hl, h⟩ := h₂ h in
match dense_or_discrete hl with
| or.inl ⟨b, hb₁, hb₂⟩ := ⟨{a | a < b}, is_open_gt' _,
assume c hcs hca, show c < b,
from lt_of_not_ge $ assume hbc, h c (lt_of_lt_of_le hb₁ hbc) (le_of_lt hca) hcs,
inf_principal_eq_bot $ (nhds a).upwards_sets (mem_nhds_sets (is_open_lt' _) hb₂) $
assume x (hx : b < x), show ¬ x < b, from not_lt.2 $ le_of_lt hx⟩
| or.inr ⟨h₁, h₂⟩ := ⟨{a' | a' < a}, is_open_gt' _, assume b hbs hba, hba,
inf_principal_eq_bot $ (nhds a).upwards_sets (mem_nhds_sets (is_open_lt' _) hl) $
assume x (hx : l < x), show ¬ x < a, from not_lt.2 $ h₁ _ hx⟩
end)
(assume : ¬ ∃l, l < a, ⟨∅, is_open_empty, assume l _ hl, (this ⟨l, hl⟩).elim,
by rw [principal_empty, inf_bot_eq]⟩),
let ⟨t₁, ht₁o, ht₁s, ht₁a⟩ := this in
have ∃t:set α, is_open t ∧ (∀u∈ s, u>a → u ∈ t) ∧ nhds a ⊓ principal t = ⊥,
from by_cases
(assume h : ∃u, u > a,
let ⟨u, hu, h⟩ := h₁ h in
match dense_or_discrete hu with
| or.inl ⟨b, hb₁, hb₂⟩ := ⟨{a | b < a}, is_open_lt' _,
assume c hcs hca, show c > b,
from lt_of_not_ge $ assume hbc, h c (le_of_lt hca) (lt_of_le_of_lt hbc hb₂) hcs,
inf_principal_eq_bot $ (nhds a).upwards_sets (mem_nhds_sets (is_open_gt' _) hb₁) $
assume x (hx : b > x), show ¬ x > b, from not_lt.2 $ le_of_lt hx⟩
| or.inr ⟨h₁, h₂⟩ := ⟨{a' | a' > a}, is_open_lt' _, assume b hbs hba, hba,
inf_principal_eq_bot $ (nhds a).upwards_sets (mem_nhds_sets (is_open_gt' _) hu) $
assume x (hx : u > x), show ¬ x > a, from not_lt.2 $ h₂ _ hx⟩
end)
(assume : ¬ ∃u, u > a, ⟨∅, is_open_empty, assume l _ hl, (this ⟨l, hl⟩).elim,
by rw [principal_empty, inf_bot_eq]⟩),
let ⟨t₂, ht₂o, ht₂s, ht₂a⟩ := this in
⟨t₁ ∪ t₂, is_open_union ht₁o ht₂o,
assume x hx,
have x ≠ a, from assume eq, ha $ eq ▸ hx,
(ne_iff_lt_or_gt.mp this).imp (ht₁s _ hx) (ht₂s _ hx),
by rw [←sup_principal, inf_sup_left, ht₁a, ht₂a, bot_sup_eq]⟩,
..orderable_topology.t2_space }
end linear_order
lemma preimage_neg [add_group α] : preimage (has_neg.neg : α → α) = image (has_neg.neg : α → α) :=
(image_eq_preimage_of_inverse neg_neg neg_neg).symm
lemma filter.map_neg [add_group α] : map (has_neg.neg : α → α) = vmap (has_neg.neg : α → α) :=
funext $ assume f, map_eq_vmap_of_inverse (funext neg_neg) (funext neg_neg)
section topological_add_group
variables [topological_space α] [ordered_comm_group α] [orderable_topology α] [topological_add_group α]
lemma neg_preimage_closure {s : set α} : (λr:α, -r) ⁻¹' closure s = closure ((λr:α, -r) '' s) :=
have (λr:α, -r) ∘ (λr:α, -r) = id, from funext neg_neg,
by rw [preimage_neg]; exact
(subset.antisymm (image_closure_subset_closure_image continuous_neg') $
calc closure ((λ (r : α), -r) '' s) = (λr, -r) '' ((λr, -r) '' closure ((λ (r : α), -r) '' s)) :
by rw [←image_comp, this, image_id]
... ⊆ (λr, -r) '' closure ((λr, -r) '' ((λ (r : α), -r) '' s)) :
mono_image $ image_closure_subset_closure_image continuous_neg'
... = _ : by rw [←image_comp, this, image_id])
end topological_add_group
section order_topology
variables [topological_space α] [topological_space β]
[decidable_linear_order α] [decidable_linear_order β] [orderable_topology α] [orderable_topology β]
lemma nhds_principal_ne_bot_of_is_lub {a : α} {s : set α} (ha : is_lub s a) (hs : s ≠ ∅) :
nhds a ⊓ principal s ≠ ⊥ :=
let ⟨a', ha'⟩ := exists_mem_of_ne_empty hs in
forall_sets_neq_empty_iff_neq_bot.mp $ assume t ht,
let ⟨t₁, ht₁, t₂, ht₂, ht⟩ := mem_inf_sets.mp ht in
let ⟨hu, hl⟩ := mem_nhds_orderable_dest ht₁ in
by_cases
(assume h : a = a',
have a ∈ t₁, from mem_of_nhds ht₁,
have a ∈ t₂, from ht₂ $ by rwa [h],
ne_empty_iff_exists_mem.mpr ⟨a, ht ⟨‹a ∈ t₁›, ‹a ∈ t₂›⟩⟩)
(assume : a ≠ a',
have a' < a, from lt_of_le_of_ne (ha.left _ ‹a' ∈ s›) this.symm,
let ⟨l, hl, hlt₁⟩ := hl ⟨a', this⟩ in
have ∃a'∈s, l < a',
from classical.by_contradiction $ assume : ¬ ∃a'∈s, l < a',
have ∀a'∈s, a' ≤ l, from assume a ha, not_lt.1 $ assume ha', this ⟨a, ha, ha'⟩,
have ¬ l < a, from not_lt.2 $ ha.right _ this,
this ‹l < a›,
let ⟨a', ha', ha'l⟩ := this in
have a' ∈ t₁, from hlt₁ _ ‹l < a'› $ ha.left _ ha',
ne_empty_iff_exists_mem.mpr ⟨a', ht ⟨‹a' ∈ t₁›, ht₂ ‹a' ∈ s›⟩⟩)
lemma nhds_principal_ne_bot_of_is_glb {a : α} {s : set α} (ha : is_glb s a) (hs : s ≠ ∅) :
nhds a ⊓ principal s ≠ ⊥ :=
let ⟨a', ha'⟩ := exists_mem_of_ne_empty hs in
forall_sets_neq_empty_iff_neq_bot.mp $ assume t ht,
let ⟨t₁, ht₁, t₂, ht₂, ht⟩ := mem_inf_sets.mp ht in
let ⟨hu, hl⟩ := mem_nhds_orderable_dest ht₁ in
by_cases
(assume h : a = a',
have a ∈ t₁, from mem_of_nhds ht₁,
have a ∈ t₂, from ht₂ $ by rwa [h],
ne_empty_iff_exists_mem.mpr ⟨a, ht ⟨‹a ∈ t₁›, ‹a ∈ t₂›⟩⟩)
(assume : a ≠ a',
have a < a', from lt_of_le_of_ne (ha.left _ ‹a' ∈ s›) this,
let ⟨u, hu, hut₁⟩ := hu ⟨a', this⟩ in
have ∃a'∈s, a' < u,
from classical.by_contradiction $ assume : ¬ ∃a'∈s, a' < u,
have ∀a'∈s, u ≤ a', from assume a ha, not_lt.1 $ assume ha', this ⟨a, ha, ha'⟩,
have ¬ a < u, from not_lt.2 $ ha.right _ this,
this ‹a < u›,
let ⟨a', ha', ha'l⟩ := this in
have a' ∈ t₁, from hut₁ _ (ha.left _ ha') ‹a' < u›,
ne_empty_iff_exists_mem.mpr ⟨a', ht ⟨‹a' ∈ t₁›, ht₂ ‹a' ∈ s›⟩⟩)
lemma is_lub_of_mem_nhds {s : set α} {a : α} {f : filter α}
(hsa : a ∈ upper_bounds s) (hsf : s ∈ f.sets) (hfa : f ⊓ nhds a ≠ ⊥) : is_lub s a :=
⟨hsa, assume b hb,
not_lt.1 $ assume hba,
have s ∩ {a | b < a} ∈ (f ⊓ nhds a).sets,
from inter_mem_inf_sets hsf (mem_nhds_sets (is_open_lt' _) hba),
let ⟨x, ⟨hxs, hxb⟩⟩ := inhabited_of_mem_sets hfa this in
have b < b, from lt_of_lt_of_le hxb $ hb _ hxs,
lt_irrefl b this⟩
lemma is_glb_of_mem_nhds {s : set α} {a : α} {f : filter α}
(hsa : a ∈ lower_bounds s) (hsf : s ∈ f.sets) (hfa : f ⊓ nhds a ≠ ⊥) : is_glb s a :=
⟨hsa, assume b hb,
not_lt.1 $ assume hba,
have s ∩ {a | a < b} ∈ (f ⊓ nhds a).sets,
from inter_mem_inf_sets hsf (mem_nhds_sets (is_open_gt' _) hba),
let ⟨x, ⟨hxs, hxb⟩⟩ := inhabited_of_mem_sets hfa this in
have b < b, from lt_of_le_of_lt (hb _ hxs) hxb,
lt_irrefl b this⟩
lemma is_lub_of_is_lub_of_tendsto {f : α → β} {s : set α} {a : α} {b : β}
(hf : ∀x∈s, ∀y∈s, x ≤ y → f x ≤ f y) (ha : is_lub s a) (hs : s ≠ ∅)
(hb : tendsto f (nhds a ⊓ principal s) (nhds b)) : is_lub (f '' s) b :=
have hnbot : (nhds a ⊓ principal s) ≠ ⊥, from nhds_principal_ne_bot_of_is_lub ha hs,
have ∀a'∈s, ¬ b < f a',
from assume a' ha' h,
have {x | x < f a'} ∈ (nhds b).sets, from mem_nhds_sets (is_open_gt' _) h,
let ⟨t₁, ht₁, t₂, ht₂, hs⟩ := mem_inf_sets.mp (hb this) in
by_cases
(assume h : a = a',
have a ∈ t₁ ∩ t₂, from ⟨mem_of_nhds ht₁, ht₂ $ by rwa [h]⟩,
have f a < f a', from hs this,
lt_irrefl (f a') $ by rwa [h] at this)
(assume h : a ≠ a',
have a' < a, from lt_of_le_of_ne (ha.left _ ha') h.symm,
have {x | a' < x} ∈ (nhds a).sets, from mem_nhds_sets (is_open_lt' _) this,
have {x | a' < x} ∩ t₁ ∈ (nhds a).sets, from inter_mem_sets this ht₁,
have ({x | a' < x} ∩ t₁) ∩ s ∈ (nhds a ⊓ principal s).sets,
from inter_mem_inf_sets this (subset.refl s),
let ⟨x, ⟨hx₁, hx₂⟩, hx₃⟩ := inhabited_of_mem_sets hnbot this in
have hxa' : f x < f a', from hs ⟨hx₂, ht₂ hx₃⟩,
have ha'x : f a' ≤ f x, from hf _ ha' _ hx₃ $ le_of_lt hx₁,
lt_irrefl _ (lt_of_le_of_lt ha'x hxa')),
and.intro
(assume b' ⟨a', ha', h_eq⟩, h_eq ▸ not_lt.1 $ this _ ha')
(assume b' hb', le_of_tendsto hnbot hb tendsto_const_nhds $
mem_inf_sets_of_right $ assume x hx, hb' _ $ mem_image_of_mem _ hx)
lemma is_glb_of_is_glb_of_tendsto {f : α → β} {s : set α} {a : α} {b : β}
(hf : ∀x∈s, ∀y∈s, x ≤ y → f x ≤ f y) (ha : is_glb s a) (hs : s ≠ ∅)
(hb : tendsto f (nhds a ⊓ principal s) (nhds b)) : is_glb (f '' s) b :=
have hnbot : (nhds a ⊓ principal s) ≠ ⊥, from nhds_principal_ne_bot_of_is_glb ha hs,
have ∀a'∈s, ¬ b > f a',
from assume a' ha' h,
have {x | x > f a'} ∈ (nhds b).sets, from mem_nhds_sets (is_open_lt' _) h,
let ⟨t₁, ht₁, t₂, ht₂, hs⟩ := mem_inf_sets.mp (hb this) in
by_cases
(assume h : a = a',
have a ∈ t₁ ∩ t₂, from ⟨mem_of_nhds ht₁, ht₂ $ by rwa [h]⟩,
have f a > f a', from hs this,
lt_irrefl (f a') $ by rwa [h] at this)
(assume h : a ≠ a',
have a' > a, from lt_of_le_of_ne (ha.left _ ha') h,
have {x | a' > x} ∈ (nhds a).sets, from mem_nhds_sets (is_open_gt' _) this,
have {x | a' > x} ∩ t₁ ∈ (nhds a).sets, from inter_mem_sets this ht₁,
have ({x | a' > x} ∩ t₁) ∩ s ∈ (nhds a ⊓ principal s).sets,
from inter_mem_inf_sets this (subset.refl s),
let ⟨x, ⟨hx₁, hx₂⟩, hx₃⟩ := inhabited_of_mem_sets hnbot this in
have hxa' : f x > f a', from hs ⟨hx₂, ht₂ hx₃⟩,
have ha'x : f a' ≥ f x, from hf _ hx₃ _ ha' $ le_of_lt hx₁,
lt_irrefl _ (lt_of_lt_of_le hxa' ha'x)),
and.intro
(assume b' ⟨a', ha', h_eq⟩, h_eq ▸ not_lt.1 $ this _ ha')
(assume b' hb', le_of_tendsto hnbot tendsto_const_nhds hb $
mem_inf_sets_of_right $ assume x hx, hb' _ $ mem_image_of_mem _ hx)
lemma is_glb_of_is_lub_of_tendsto {f : α → β} {s : set α} {a : α} {b : β}
(hf : ∀x∈s, ∀y∈s, x ≤ y → f y ≤ f x) (ha : is_lub s a) (hs : s ≠ ∅)
(hb : tendsto f (nhds a ⊓ principal s) (nhds b)) : is_glb (f '' s) b :=
have hnbot : (nhds a ⊓ principal s) ≠ ⊥, from nhds_principal_ne_bot_of_is_lub ha hs,
have ∀a'∈s, ¬ b > f a',
from assume a' ha' h,
have {x | x > f a'} ∈ (nhds b).sets, from mem_nhds_sets (is_open_lt' _) h,
let ⟨t₁, ht₁, t₂, ht₂, hs⟩ := mem_inf_sets.mp (hb this) in
by_cases
(assume h : a = a',
have a ∈ t₁ ∩ t₂, from ⟨mem_of_nhds ht₁, ht₂ $ by rwa [h]⟩,
have f a > f a', from hs this,
lt_irrefl (f a') $ by rwa [h] at this)
(assume h : a ≠ a',
have a' < a, from lt_of_le_of_ne (ha.left _ ha') h.symm,
have {x | a' < x} ∈ (nhds a).sets, from mem_nhds_sets (is_open_lt' _) this,
have {x | a' < x} ∩ t₁ ∈ (nhds a).sets, from inter_mem_sets this ht₁,
have ({x | a' < x} ∩ t₁) ∩ s ∈ (nhds a ⊓ principal s).sets,
from inter_mem_inf_sets this (subset.refl s),
let ⟨x, ⟨hx₁, hx₂⟩, hx₃⟩ := inhabited_of_mem_sets hnbot this in
have hxa' : f x > f a', from hs ⟨hx₂, ht₂ hx₃⟩,
have ha'x : f a' ≥ f x, from hf _ ha' _ hx₃ $ le_of_lt hx₁,
lt_irrefl _ (lt_of_lt_of_le hxa' ha'x)),
and.intro
(assume b' ⟨a', ha', h_eq⟩, h_eq ▸ not_lt.1 $ this _ ha')
(assume b' hb', le_of_tendsto hnbot tendsto_const_nhds hb $
mem_inf_sets_of_right $ assume x hx, hb' _ $ mem_image_of_mem _ hx)
end order_topology
section liminf_limsup
section ordered_topology
variables [semilattice_sup α] [topological_space α] [orderable_topology α]
lemma is_bounded_le_nhds (a : α) : (nhds a).is_bounded (≤) :=
match forall_le_or_exists_lt_sup a with
| or.inl h := ⟨a, univ_mem_sets' h⟩
| or.inr ⟨b, hb⟩ := ⟨b, ge_mem_nhds hb⟩
end
lemma is_bounded_under_le_of_tendsto {f : filter β} {u : β → α} {a : α}
(h : tendsto u f (nhds a)) : f.is_bounded_under (≤) u :=
is_bounded_of_le h (is_bounded_le_nhds a)
lemma is_cobounded_ge_nhds (a : α) : (nhds a).is_cobounded (≥) :=
is_cobounded_of_is_bounded nhds_neq_bot (is_bounded_le_nhds a)
lemma is_cobounded_under_ge_of_tendsto {f : filter β} {u : β → α} {a : α}
(hf : f ≠ ⊥) (h : tendsto u f (nhds a)) : f.is_cobounded_under (≥) u :=
is_cobounded_of_is_bounded (map_ne_bot hf) (is_bounded_under_le_of_tendsto h)
end ordered_topology
section ordered_topology
variables [semilattice_inf α] [topological_space α] [orderable_topology α]
lemma is_bounded_ge_nhds (a : α) : (nhds a).is_bounded (≥) :=
match forall_le_or_exists_lt_inf a with
| or.inl h := ⟨a, univ_mem_sets' h⟩
| or.inr ⟨b, hb⟩ := ⟨b, le_mem_nhds hb⟩
end
lemma is_bounded_under_ge_of_tendsto {f : filter β} {u : β → α} {a : α}
(h : tendsto u f (nhds a)) : f.is_bounded_under (≥) u :=
is_bounded_of_le h (is_bounded_ge_nhds a)
lemma is_cobounded_le_nhds (a : α) : (nhds a).is_cobounded (≤) :=
is_cobounded_of_is_bounded nhds_neq_bot (is_bounded_ge_nhds a)
lemma is_cobounded_under_le_of_tendsto {f : filter β} {u : β → α} {a : α}
(hf : f ≠ ⊥) (h : tendsto u f (nhds a)) : f.is_cobounded_under (≤) u :=
is_cobounded_of_is_bounded (map_ne_bot hf) (is_bounded_under_ge_of_tendsto h)
end ordered_topology
section conditionally_complete_linear_order
variables [conditionally_complete_linear_order α] [topological_space α] [orderable_topology α]
theorem lt_mem_sets_of_Limsup_lt {f : filter α} {b} (h : f.is_bounded (≤)) (l : f.Limsup < b) :
{a | a < b} ∈ f.sets :=
let ⟨c, (h : {a : α | a ≤ c} ∈ f.sets), hcb⟩ :=
exists_lt_of_cInf_lt (ne_empty_iff_exists_mem.2 h) l in
f.upwards_sets h $ assume a hac, lt_of_le_of_lt hac hcb
theorem gt_mem_sets_of_Liminf_gt {f : filter α} {b} (h : f.is_bounded (≥)) (l : f.Liminf > b) :
{a | a > b} ∈ f.sets :=
let ⟨c, (h : {a : α | c ≤ a} ∈ f.sets), hbc⟩ :=
exists_lt_of_lt_cSup (ne_empty_iff_exists_mem.2 h) l in
f.upwards_sets h $ assume a hca, lt_of_lt_of_le hbc hca
/-- If the liminf and the limsup of a filter coincide, then this filter converges to
their common value, at least if the filter is eventually bounded above and below. -/
theorem le_nhds_of_Limsup_eq_Liminf {f : filter α} {a : α}
(hl : f.is_bounded (≤)) (hg : f.is_bounded (≥)) (hs : f.Limsup = a) (hi : f.Liminf = a) :
f ≤ nhds a :=
tendsto_orderable.2 $ and.intro
(assume b hb, gt_mem_sets_of_Liminf_gt hg $ hi.symm ▸ hb)
(assume b hb, lt_mem_sets_of_Limsup_lt hl $ hs.symm ▸ hb)
theorem Limsup_nhds (a : α) : Limsup (nhds a) = a :=
cInf_intro (ne_empty_iff_exists_mem.2 $ is_bounded_le_nhds a)
(assume a' (h : {n : α | n ≤ a'} ∈ (nhds a).sets), show a ≤ a', from @mem_of_nhds α _ a _ h)
(assume b (hba : a < b), show ∃c (h : {n : α | n ≤ c} ∈ (nhds a).sets), c < b, from
match dense_or_discrete hba with
| or.inl ⟨c, hac, hcb⟩ := ⟨c, ge_mem_nhds hac, hcb⟩
| or.inr ⟨_, h⟩ := ⟨a, (nhds a).upwards_sets (gt_mem_nhds hba) h, hba⟩
end)
theorem Liminf_nhds (a : α) : Liminf (nhds a) = a :=
cSup_intro (ne_empty_iff_exists_mem.2 $ is_bounded_ge_nhds a)
(assume a' (h : {n : α | a' ≤ n} ∈ (nhds a).sets), show a' ≤ a, from mem_of_nhds h)
(assume b (hba : b < a), show ∃c (h : {n : α | c ≤ n} ∈ (nhds a).sets), b < c, from
match dense_or_discrete hba with
| or.inl ⟨c, hbc, hca⟩ := ⟨c, le_mem_nhds hca, hbc⟩
| or.inr ⟨h, _⟩ := ⟨a, (nhds a).upwards_sets (lt_mem_nhds hba) h, hba⟩
end)
/-- If a filter is converging, its limsup coincides with its limit. -/
theorem Liminf_eq_of_le_nhds {f : filter α} {a : α} (hf : f ≠ ⊥) (h : f ≤ nhds a) : f.Liminf = a :=
have hb_ge : is_bounded (≥) f, from is_bounded_of_le h (is_bounded_ge_nhds a),
have hb_le : is_bounded (≤) f, from is_bounded_of_le h (is_bounded_le_nhds a),
le_antisymm
(calc f.Liminf ≤ f.Limsup : Liminf_le_Limsup hf hb_le hb_ge
... ≤ (nhds a).Limsup :
Limsup_le_Limsup_of_le h (is_cobounded_of_is_bounded hf hb_ge) (is_bounded_le_nhds a)
... = a : Limsup_nhds a)
(calc a = (nhds a).Liminf : (Liminf_nhds a).symm
... ≤ f.Liminf :
Liminf_le_Liminf_of_le h (is_bounded_ge_nhds a) (is_cobounded_of_is_bounded hf hb_le))
/-- If a filter is converging, its liminf coincides with its limit. -/
theorem Limsup_eq_of_le_nhds {f : filter α} {a : α} (hf : f ≠ ⊥) (h : f ≤ nhds a) : f.Limsup = a :=
have hb_ge : is_bounded (≥) f, from is_bounded_of_le h (is_bounded_ge_nhds a),
le_antisymm
(calc f.Limsup ≤ (nhds a).Limsup :
Limsup_le_Limsup_of_le h (is_cobounded_of_is_bounded hf hb_ge) (is_bounded_le_nhds a)
... = a : Limsup_nhds a)
(calc a = f.Liminf : (Liminf_eq_of_le_nhds hf h).symm
... ≤ f.Limsup : Liminf_le_Limsup hf (is_bounded_of_le h (is_bounded_le_nhds a)) hb_ge)
end conditionally_complete_linear_order
end liminf_limsup
end orderable_topology
lemma orderable_topology_of_nhds_abs
{α : Type*} [decidable_linear_ordered_comm_group α] [topological_space α]
(h_nhds : ∀a:α, nhds a = (⨅r>0, principal {b | abs (a - b) < r})) : orderable_topology α :=
orderable_topology.mk $ eq_of_nhds_eq_nhds $ assume a:α, le_antisymm_iff.mpr
begin
simp [infi_and, topological_space.nhds_generate_from,
h_nhds, le_infi_iff, -le_principal_iff, and_comm],
refine ⟨λ s ha b hs, _, λ r hr, _⟩,
{ rcases hs with rfl | rfl,
{ refine infi_le_of_le (a - b)
(infi_le_of_le (lt_sub_left_of_add_lt $ by simpa using ha) $
principal_mono.mpr $ assume c (hc : abs (a - c) < a - b), _),
have : a - c < a - b := lt_of_le_of_lt (le_abs_self _) hc,
exact lt_of_neg_lt_neg (lt_of_add_lt_add_left this) },
{ refine infi_le_of_le (b - a)
(infi_le_of_le (lt_sub_left_of_add_lt $ by simpa using ha) $
principal_mono.mpr $ assume c (hc : abs (a - c) < b - a), _),
have : abs (c - a) < b - a, {rw abs_sub; simpa using hc},
have : c - a < b - a := lt_of_le_of_lt (le_abs_self _) this,
exact lt_of_add_lt_add_right this } },
{ have h : {b | abs (a + -b) < r} = {b | a - r < b} ∩ {b | b < a + r},
from set.ext (assume b,
by simp [abs_lt, -sub_eq_add_neg, (sub_eq_add_neg _ _).symm,
sub_lt, lt_sub_iff_add_lt, and_comm, sub_lt_iff_lt_add']),
rw [h, ← inf_principal],
apply le_inf _ _,
{ exact infi_le_of_le {b : α | a - r < b} (infi_le_of_le (sub_lt_self a hr) $
infi_le_of_le (a - r) $ infi_le _ (or.inl rfl)) },
{ exact infi_le_of_le {b : α | b < a + r} (infi_le_of_le (lt_add_of_pos_right _ hr) $
infi_le_of_le (a + r) $ infi_le _ (or.inr rfl)) } }
end
|
a87668e77b09ffd83acdcfa331204e838ed635e5 | 4727251e0cd73359b15b664c3170e5d754078599 | /src/category_theory/limits/constructions/over/default.lean | f3e8c432810860374a1176312d67a531dffcb33d | [
"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 | 2,154 | lean | /-
Copyright (c) 2018 Johan Commelin. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johan Commelin, Reid Barton, Bhavik Mehta
-/
import category_theory.limits.connected
import category_theory.limits.constructions.over.products
import category_theory.limits.constructions.over.connected
import category_theory.limits.constructions.limits_of_products_and_equalizers
import category_theory.limits.constructions.equalizers
/-!
# Limits in the over category
Declare instances for limits in the over category: If `C` has finite wide pullbacks, `over B` has
finite limits, and if `C` has arbitrary wide pullbacks then `over B` has limits.
-/
universes v u -- morphism levels before object levels. See note [category_theory universes].
open category_theory category_theory.limits
variables {J : Type v} [small_category J]
variables {C : Type u} [category.{v} C]
variable {X : C}
namespace category_theory.over
/-- Make sure we can derive pullbacks in `over B`. -/
example {B : C} [has_pullbacks C] : has_pullbacks (over B) := by apply_instance
/-- Make sure we can derive equalizers in `over B`. -/
example {B : C} [has_equalizers C] : has_equalizers (over B) := by apply_instance
instance has_finite_limits {B : C} [has_finite_wide_pullbacks C] : has_finite_limits (over B) :=
begin
apply @finite_limits_from_equalizers_and_finite_products _ _ _ _,
{ exact construct_products.over_finite_products_of_finite_wide_pullbacks, },
{ apply @has_equalizers_of_pullbacks_and_binary_products _ _ _ _,
{ haveI : has_pullbacks C := ⟨by apply_instance⟩,
exact construct_products.over_binary_product_of_pullback },
{ apply_instance, } }
end
instance has_limits {B : C} [has_wide_pullbacks C] : has_limits (over B) :=
begin
apply @limits_from_equalizers_and_products _ _ _ _,
{ exact construct_products.over_products_of_wide_pullbacks },
{ apply @has_equalizers_of_pullbacks_and_binary_products _ _ _ _,
{ haveI : has_pullbacks C := ⟨by apply_instance⟩,
exact construct_products.over_binary_product_of_pullback },
{ apply_instance, } }
end
end category_theory.over
|
20a21c94f4ffc575ee728e6d76253e81a112fb66 | 4d2583807a5ac6caaffd3d7a5f646d61ca85d532 | /src/data/polynomial/monic.lean | f20789c86632a03f6a3a06fa86027825dd4863db | [
"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 | 16,846 | lean | /-
Copyright (c) 2018 Chris Hughes. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Chris Hughes, Johannes Hölzl, Scott Morrison, Jens Wagemaker
-/
import data.polynomial.reverse
import algebra.associated
import algebra.regular.smul
/-!
# Theory of monic polynomials
We give several tools for proving that polynomials are monic, e.g.
`monic_mul`, `monic_map`.
-/
noncomputable theory
open finset
open_locale big_operators classical
namespace polynomial
universes u v y
variables {R : Type u} {S : Type v} {a b : R} {m n : ℕ} {ι : Type y}
section semiring
variables [semiring R] {p q r : polynomial R}
lemma monic.as_sum {p : polynomial R} (hp : p.monic) :
p = X^(p.nat_degree) + (∑ i in range p.nat_degree, C (p.coeff i) * X^i) :=
begin
conv_lhs { rw [p.as_sum_range_C_mul_X_pow, sum_range_succ_comm] },
suffices : C (p.coeff p.nat_degree) = 1,
{ rw [this, one_mul] },
exact congr_arg C hp
end
lemma ne_zero_of_monic_of_zero_ne_one (hp : monic p) (h : (0 : R) ≠ 1) :
p ≠ 0 := mt (congr_arg leading_coeff) $ by rw [monic.def.1 hp, leading_coeff_zero]; cc
lemma ne_zero_of_ne_zero_of_monic (hp : p ≠ 0) (hq : monic q) : q ≠ 0 :=
begin
intro h, rw [h, monic.def, leading_coeff_zero] at hq,
rw [← mul_one p, ← C_1, ← hq, C_0, mul_zero] at hp,
exact hp rfl
end
lemma monic_map [semiring S] (f : R →+* S) (hp : monic p) : monic (p.map f) :=
if h : (0 : S) = 1 then
by haveI := subsingleton_of_zero_eq_one h;
exact subsingleton.elim _ _
else
have f (leading_coeff p) ≠ 0,
by rwa [show _ = _, from hp, f.map_one, ne.def, eq_comm],
by
begin
rw [monic, leading_coeff, coeff_map],
suffices : p.coeff (map f p).nat_degree = 1, simp [this],
suffices : (map f p).nat_degree = p.nat_degree, rw this, exact hp,
rwa nat_degree_eq_of_degree_eq (degree_map_eq_of_leading_coeff_ne_zero f _)
end
lemma monic_C_mul_of_mul_leading_coeff_eq_one [nontrivial R] {b : R}
(hp : b * p.leading_coeff = 1) : monic (C b * p) :=
by rw [monic, leading_coeff_mul' _]; simp [leading_coeff_C b, hp]
lemma monic_mul_C_of_leading_coeff_mul_eq_one [nontrivial R] {b : R}
(hp : p.leading_coeff * b = 1) : monic (p * C b) :=
by rw [monic, leading_coeff_mul' _]; simp [leading_coeff_C b, hp]
theorem monic_of_degree_le (n : ℕ) (H1 : degree p ≤ n) (H2 : coeff p n = 1) : monic p :=
decidable.by_cases
(assume H : degree p < n, eq_of_zero_eq_one
(H2 ▸ (coeff_eq_zero_of_degree_lt H).symm) _ _)
(assume H : ¬degree p < n,
by rwa [monic, leading_coeff, nat_degree, (lt_or_eq_of_le H1).resolve_left H])
theorem monic_X_pow_add {n : ℕ} (H : degree p ≤ n) : monic (X ^ (n+1) + p) :=
have H1 : degree p < n+1, from lt_of_le_of_lt H (with_bot.coe_lt_coe.2 (nat.lt_succ_self n)),
monic_of_degree_le (n+1)
(le_trans (degree_add_le _ _) (max_le (degree_X_pow_le _) (le_of_lt H1)))
(by rw [coeff_add, coeff_X_pow, if_pos rfl, coeff_eq_zero_of_degree_lt H1, add_zero])
theorem monic_X_add_C (x : R) : monic (X + C x) :=
pow_one (X : polynomial R) ▸ monic_X_pow_add degree_C_le
lemma monic_mul (hp : monic p) (hq : monic q) : monic (p * q) :=
if h0 : (0 : R) = 1 then by haveI := subsingleton_of_zero_eq_one h0;
exact subsingleton.elim _ _
else
have leading_coeff p * leading_coeff q ≠ 0, by simp [monic.def.1 hp, monic.def.1 hq, ne.symm h0],
by rw [monic.def, leading_coeff_mul' this, monic.def.1 hp, monic.def.1 hq, one_mul]
lemma monic_pow (hp : monic p) : ∀ (n : ℕ), monic (p ^ n)
| 0 := monic_one
| (n+1) := by { rw pow_succ, exact monic_mul hp (monic_pow n) }
lemma monic_add_of_left {p q : polynomial R} (hp : monic p) (hpq : degree q < degree p) :
monic (p + q) :=
by rwa [monic, add_comm, leading_coeff_add_of_degree_lt hpq]
lemma monic_add_of_right {p q : polynomial R} (hq : monic q) (hpq : degree p < degree q) :
monic (p + q) :=
by rwa [monic, leading_coeff_add_of_degree_lt hpq]
namespace monic
@[simp]
lemma nat_degree_eq_zero_iff_eq_one {p : polynomial R} (hp : p.monic) :
p.nat_degree = 0 ↔ p = 1 :=
begin
split; intro h,
swap, { rw h, exact nat_degree_one },
have : p = C (p.coeff 0),
{ rw ← polynomial.degree_le_zero_iff,
rwa polynomial.nat_degree_eq_zero_iff_degree_le_zero at h },
rw this, convert C_1, rw ← h, apply hp,
end
@[simp]
lemma degree_le_zero_iff_eq_one {p : polynomial R} (hp : p.monic) :
p.degree ≤ 0 ↔ p = 1 :=
by rw [←hp.nat_degree_eq_zero_iff_eq_one, nat_degree_eq_zero_iff_degree_le_zero]
lemma nat_degree_mul {p q : polynomial R} (hp : p.monic) (hq : q.monic) :
(p * q).nat_degree = p.nat_degree + q.nat_degree :=
begin
nontriviality R,
apply nat_degree_mul',
simp [hp.leading_coeff, hq.leading_coeff]
end
lemma degree_mul_comm {p : polynomial R} (hp : p.monic) (q : polynomial R) :
(p * q).degree = (q * p).degree :=
begin
by_cases h : q = 0,
{ simp [h] },
rw [degree_mul', hp.degree_mul],
{ exact add_comm _ _ },
{ rwa [hp.leading_coeff, one_mul, leading_coeff_ne_zero] }
end
lemma nat_degree_mul' {p q : polynomial R} (hp : p.monic) (hq : q ≠ 0) :
(p * q).nat_degree = p.nat_degree + q.nat_degree :=
begin
rw [nat_degree_mul', add_comm],
simpa [hp.leading_coeff, leading_coeff_ne_zero]
end
lemma nat_degree_mul_comm {p : polynomial R} (hp : p.monic) (q : polynomial R) :
(p * q).nat_degree = (q * p).nat_degree :=
begin
by_cases h : q = 0,
{ simp [h] },
rw [hp.nat_degree_mul' h, polynomial.nat_degree_mul', add_comm],
simpa [hp.leading_coeff, leading_coeff_ne_zero]
end
lemma next_coeff_mul {p q : polynomial R} (hp : monic p) (hq : monic q) :
next_coeff (p * q) = next_coeff p + next_coeff q :=
begin
nontriviality,
simp only [← coeff_one_reverse],
rw reverse_mul;
simp [coeff_mul, nat.antidiagonal, hp.leading_coeff, hq.leading_coeff, add_comm]
end
lemma eq_one_of_map_eq_one {S : Type*} [semiring S] [nontrivial S]
(f : R →+* S) (hp : p.monic) (map_eq : p.map f = 1) : p = 1 :=
begin
nontriviality R,
have hdeg : p.degree = 0,
{ rw [← degree_map_eq_of_leading_coeff_ne_zero f _, map_eq, degree_one],
{ rw [hp.leading_coeff, f.map_one],
exact one_ne_zero } },
have hndeg : p.nat_degree = 0 :=
with_bot.coe_eq_coe.mp ((degree_eq_nat_degree hp.ne_zero).symm.trans hdeg),
convert eq_C_of_degree_eq_zero hdeg,
rw [← hndeg, ← polynomial.leading_coeff, hp.leading_coeff, C.map_one]
end
end monic
end semiring
section comm_semiring
variables [comm_semiring R] {p : polynomial R}
lemma monic_multiset_prod_of_monic (t : multiset ι) (f : ι → polynomial R)
(ht : ∀ i ∈ t, monic (f i)) :
monic (t.map f).prod :=
begin
revert ht,
refine t.induction_on _ _, { simp },
intros a t ih ht,
rw [multiset.map_cons, multiset.prod_cons],
exact monic_mul
(ht _ (multiset.mem_cons_self _ _))
(ih (λ _ hi, ht _ (multiset.mem_cons_of_mem hi)))
end
lemma monic_prod_of_monic (s : finset ι) (f : ι → polynomial R) (hs : ∀ i ∈ s, monic (f i)) :
monic (∏ i in s, f i) :=
monic_multiset_prod_of_monic s.1 f hs
lemma is_unit_C {x : R} : is_unit (C x) ↔ is_unit x :=
begin
rw [is_unit_iff_dvd_one, is_unit_iff_dvd_one],
split,
{ rintros ⟨g, hg⟩,
replace hg := congr_arg (eval 0) hg,
rw [eval_one, eval_mul, eval_C] at hg,
exact ⟨g.eval 0, hg⟩ },
{ rintros ⟨y, hy⟩,
exact ⟨C y, by rw [← C_mul, ← hy, C_1]⟩ }
end
lemma eq_one_of_is_unit_of_monic (hm : monic p) (hpu : is_unit p) : p = 1 :=
have degree p ≤ 0,
from calc degree p ≤ degree (1 : polynomial R) :
let ⟨u, hu⟩ := is_unit_iff_dvd_one.1 hpu in
if hu0 : u = 0
then begin
rw [hu0, mul_zero] at hu,
rw [← mul_one p, hu, mul_zero],
simp
end
else have p.leading_coeff * u.leading_coeff ≠ 0,
by rw [hm.leading_coeff, one_mul, ne.def, leading_coeff_eq_zero];
exact hu0,
by rw [hu, degree_mul' this];
exact le_add_of_nonneg_right (degree_nonneg_iff_ne_zero.2 hu0)
... ≤ 0 : degree_one_le,
by rw [eq_C_of_degree_le_zero this, ← nat_degree_eq_zero_iff_degree_le_zero.2 this,
← leading_coeff, hm.leading_coeff, C_1]
lemma monic.next_coeff_multiset_prod (t : multiset ι) (f : ι → polynomial R)
(h : ∀ i ∈ t, monic (f i)) :
next_coeff (t.map f).prod = (t.map (λ i, next_coeff (f i))).sum :=
begin
revert h,
refine multiset.induction_on t _ (λ a t ih ht, _),
{ simp only [multiset.not_mem_zero, forall_prop_of_true, forall_prop_of_false, multiset.map_zero,
multiset.prod_zero, multiset.sum_zero, not_false_iff, forall_true_iff],
rw ← C_1, rw next_coeff_C_eq_zero },
{ rw [multiset.map_cons, multiset.prod_cons, multiset.map_cons, multiset.sum_cons,
monic.next_coeff_mul, ih],
exacts [λ i hi, ht i (multiset.mem_cons_of_mem hi), ht a (multiset.mem_cons_self _ _),
monic_multiset_prod_of_monic _ _ (λ b bs, ht _ (multiset.mem_cons_of_mem bs))] }
end
lemma monic.next_coeff_prod (s : finset ι) (f : ι → polynomial R) (h : ∀ i ∈ s, monic (f i)) :
next_coeff (∏ i in s, f i) = ∑ i in s, next_coeff (f i) :=
monic.next_coeff_multiset_prod s.1 f h
end comm_semiring
section ring
variables [ring R] {p : polynomial R}
theorem monic_X_sub_C (x : R) : monic (X - C x) :=
by simpa only [sub_eq_add_neg, C_neg] using monic_X_add_C (-x)
theorem monic_X_pow_sub {n : ℕ} (H : degree p ≤ n) : monic (X ^ (n+1) - p) :=
by simpa [sub_eq_add_neg] using monic_X_pow_add (show degree (-p) ≤ n, by rwa ←degree_neg p at H)
/-- `X ^ n - a` is monic. -/
lemma monic_X_pow_sub_C {R : Type u} [ring R] (a : R) {n : ℕ} (h : n ≠ 0) : (X ^ n - C a).monic :=
begin
obtain ⟨k, hk⟩ := nat.exists_eq_succ_of_ne_zero h,
convert monic_X_pow_sub _,
exact le_trans degree_C_le nat.with_bot.coe_nonneg,
end
lemma not_is_unit_X_pow_sub_one (R : Type*) [comm_ring R] [nontrivial R] (n : ℕ) :
¬ is_unit (X ^ n - 1 : polynomial R) :=
begin
intro h,
rcases eq_or_ne n 0 with rfl | hn,
{ simpa using h },
apply hn,
rwa [← @nat_degree_X_pow_sub_C _ _ _ n (1 : R),
eq_one_of_is_unit_of_monic (monic_X_pow_sub_C (1 : R) hn),
nat_degree_one]
end
lemma monic_sub_of_left {p q : polynomial R} (hp : monic p) (hpq : degree q < degree p) :
monic (p - q) :=
by { rw sub_eq_add_neg, apply monic_add_of_left hp, rwa degree_neg }
lemma monic_sub_of_right {p q : polynomial R}
(hq : q.leading_coeff = -1) (hpq : degree p < degree q) : monic (p - q) :=
have (-q).coeff (-q).nat_degree = 1 :=
by rw [nat_degree_neg, coeff_neg, show q.coeff q.nat_degree = -1, from hq, neg_neg],
by { rw sub_eq_add_neg, apply monic_add_of_right this, rwa degree_neg }
section injective
open function
variables [semiring S] {f : R →+* S} (hf : injective f)
include hf
lemma degree_map_eq_of_injective (p : polynomial R) : degree (p.map f) = degree p :=
if h : p = 0 then by simp [h]
else degree_map_eq_of_leading_coeff_ne_zero _
(by rw [← f.map_zero]; exact mt hf.eq_iff.1
(mt leading_coeff_eq_zero.1 h))
lemma degree_map' (p : polynomial R) :
degree (p.map f) = degree p :=
p.degree_map_eq_of_injective hf
lemma nat_degree_map' (p : polynomial R) :
nat_degree (p.map f) = nat_degree p :=
nat_degree_eq_of_degree_eq (degree_map' hf p)
lemma leading_coeff_map' (p : polynomial R) :
leading_coeff (p.map f) = f (leading_coeff p) :=
begin
unfold leading_coeff,
rw [coeff_map, nat_degree_map' hf p],
end
lemma next_coeff_map (p : polynomial R) :
(p.map f).next_coeff = f p.next_coeff :=
begin
unfold next_coeff,
rw nat_degree_map' hf,
split_ifs; simp
end
lemma leading_coeff_of_injective (p : polynomial R) :
leading_coeff (p.map f) = f (leading_coeff p) :=
begin
delta leading_coeff,
rw [coeff_map f, nat_degree_map' hf p]
end
lemma monic_of_injective {p : polynomial R} (hp : (p.map f).monic) : p.monic :=
begin
apply hf,
rw [← leading_coeff_of_injective hf, hp.leading_coeff, f.map_one]
end
end injective
end ring
section nonzero_semiring
variables [semiring R] [nontrivial R] {p q : polynomial R}
@[simp] lemma not_monic_zero : ¬monic (0 : polynomial R) :=
by simpa only [monic, leading_coeff_zero] using (zero_ne_one : (0 : R) ≠ 1)
lemma ne_zero_of_monic (h : monic p) : p ≠ 0 :=
λ h₁, @not_monic_zero R _ _ (h₁ ▸ h)
end nonzero_semiring
section not_zero_divisor
-- TODO: using gh-8537, rephrase lemmas that involve commutation around `*` using the op-ring
variables [semiring R] {p : polynomial R}
lemma monic.mul_left_ne_zero (hp : monic p) {q : polynomial R} (hq : q ≠ 0) :
q * p ≠ 0 :=
begin
by_cases h : p = 1,
{ simpa [h] },
rw [ne.def, ←degree_eq_bot, hp.degree_mul, with_bot.add_eq_bot, not_or_distrib, degree_eq_bot],
refine ⟨hq, _⟩,
rw [←hp.degree_le_zero_iff_eq_one, not_le] at h,
refine (lt_trans _ h).ne',
simp
end
lemma monic.mul_right_ne_zero (hp : monic p) {q : polynomial R} (hq : q ≠ 0) :
p * q ≠ 0 :=
begin
by_cases h : p = 1,
{ simpa [h] },
rw [ne.def, ←degree_eq_bot, hp.degree_mul_comm, hp.degree_mul, with_bot.add_eq_bot,
not_or_distrib, degree_eq_bot],
refine ⟨hq, _⟩,
rw [←hp.degree_le_zero_iff_eq_one, not_le] at h,
refine (lt_trans _ h).ne',
simp
end
lemma monic.mul_nat_degree_lt_iff (h : monic p) {q : polynomial R} :
(p * q).nat_degree < p.nat_degree ↔ p ≠ 1 ∧ q = 0 :=
begin
by_cases hq : q = 0,
{ suffices : 0 < p.nat_degree ↔ p.nat_degree ≠ 0,
{ simpa [hq, ←h.nat_degree_eq_zero_iff_eq_one] },
exact ⟨λ h, h.ne', λ h, lt_of_le_of_ne (nat.zero_le _) h.symm ⟩ },
{ simp [h.nat_degree_mul', hq] }
end
lemma monic.mul_right_eq_zero_iff (h : monic p) {q : polynomial R} :
p * q = 0 ↔ q = 0 :=
begin
by_cases hq : q = 0;
simp [h.mul_right_ne_zero, hq]
end
lemma monic.mul_left_eq_zero_iff (h : monic p) {q : polynomial R} :
q * p = 0 ↔ q = 0 :=
begin
by_cases hq : q = 0;
simp [h.mul_left_ne_zero, hq]
end
lemma monic.is_regular {R : Type*} [ring R] {p : polynomial R} (hp : monic p) : is_regular p :=
begin
split,
{ intros q r h,
rw [←sub_eq_zero, ←hp.mul_right_eq_zero_iff, mul_sub, h, sub_self] },
{ intros q r h,
simp only at h,
rw [←sub_eq_zero, ←hp.mul_left_eq_zero_iff, sub_mul, h, sub_self] }
end
lemma degree_smul_of_smul_regular {S : Type*} [monoid S] [distrib_mul_action S R]
{k : S} (p : polynomial R) (h : is_smul_regular R k) :
(k • p).degree = p.degree :=
begin
refine le_antisymm _ _,
{ rw degree_le_iff_coeff_zero,
intros m hm,
rw degree_lt_iff_coeff_zero at hm,
simp [hm m le_rfl] },
{ rw degree_le_iff_coeff_zero,
intros m hm,
rw degree_lt_iff_coeff_zero at hm,
refine h _,
simpa using hm m le_rfl },
end
lemma nat_degree_smul_of_smul_regular {S : Type*} [monoid S] [distrib_mul_action S R]
{k : S} (p : polynomial R) (h : is_smul_regular R k) :
(k • p).nat_degree = p.nat_degree :=
begin
by_cases hp : p = 0,
{ simp [hp] },
rw [←with_bot.coe_eq_coe, ←degree_eq_nat_degree hp, ←degree_eq_nat_degree,
degree_smul_of_smul_regular p h],
contrapose! hp,
rw ←smul_zero k at hp,
exact h.polynomial hp
end
lemma leading_coeff_smul_of_smul_regular {S : Type*} [monoid S] [distrib_mul_action S R]
{k : S} (p : polynomial R) (h : is_smul_regular R k) :
(k • p).leading_coeff = k • p.leading_coeff :=
by rw [leading_coeff, leading_coeff, coeff_smul, nat_degree_smul_of_smul_regular p h]
lemma monic_of_is_unit_leading_coeff_inv_smul (h : is_unit p.leading_coeff) :
monic (h.unit⁻¹ • p) :=
begin
rw [monic.def, leading_coeff_smul_of_smul_regular _ (is_smul_regular_of_group _), units.smul_def],
obtain ⟨k, hk⟩ := h,
simp only [←hk, smul_eq_mul, ←units.coe_mul, units.coe_eq_one, inv_mul_eq_iff_eq_mul],
simp [units.ext_iff, is_unit.unit_spec]
end
lemma is_unit_leading_coeff_mul_right_eq_zero_iff (h : is_unit p.leading_coeff) {q : polynomial R} :
p * q = 0 ↔ q = 0 :=
begin
split,
{ intro hp,
rw ←smul_eq_zero_iff_eq (h.unit)⁻¹ at hp,
have : (h.unit)⁻¹ • (p * q) = ((h.unit)⁻¹ • p) * q,
{ ext,
simp only [units.smul_def, coeff_smul, coeff_mul, smul_eq_mul, mul_sum],
refine sum_congr rfl (λ x hx, _),
rw ←mul_assoc },
rwa [this, monic.mul_right_eq_zero_iff] at hp,
exact monic_of_is_unit_leading_coeff_inv_smul _ },
{ rintro rfl,
simp }
end
lemma is_unit_leading_coeff_mul_left_eq_zero_iff (h : is_unit p.leading_coeff) {q : polynomial R} :
q * p = 0 ↔ q = 0 :=
begin
split,
{ intro hp,
replace hp := congr_arg (* C ↑(h.unit)⁻¹) hp,
simp only [zero_mul] at hp,
rwa [mul_assoc, monic.mul_left_eq_zero_iff] at hp,
nontriviality,
refine monic_mul_C_of_leading_coeff_mul_eq_one _,
simp [units.mul_inv_eq_iff_eq_mul, is_unit.unit_spec] },
{ rintro rfl,
rw zero_mul }
end
end not_zero_divisor
end polynomial
|
4fe909076b8de148cb0ab11f8120b29da5ee4d20 | 9be442d9ec2fcf442516ed6e9e1660aa9071b7bd | /stage0/src/Lean/Class.lean | c8e052d701e93b18158f3276d720b9005c24137c | [
"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 | 5,028 | 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.Attributes
namespace Lean
/-- An entry for the persistent environment extension for declared type classes -/
structure ClassEntry where
/-- Class name. -/
name : Name
/--
Position of the class `outParams`.
For example, for class
```
class GetElem (cont : Type u) (idx : Type v) (elem : outParam (Type w)) (dom : outParam (cont → idx → Prop)) where
```
`outParams := #[2, 3]`
-/
outParams : Array Nat
namespace ClassEntry
def lt (a b : ClassEntry) : Bool :=
Name.quickLt a.name b.name
end ClassEntry
/-- State of the type class environment extension. -/
structure ClassState where
outParamMap : SMap Name (Array Nat) := SMap.empty
deriving Inhabited
namespace ClassState
def addEntry (s : ClassState) (entry : ClassEntry) : ClassState :=
{ s with outParamMap := s.outParamMap.insert entry.name entry.outParams }
/--
Switch the state into persistent mode. We switch to this mode after
we read all imported .olean files.
Recall that we use a `SMap` for implementing the state of the type class environment extension.
-/
def switch (s : ClassState) : ClassState :=
{ s with outParamMap := s.outParamMap.switch }
end ClassState
/--
Type class environment extension
-/
-- TODO: add support for scoped instances
builtin_initialize classExtension : SimplePersistentEnvExtension ClassEntry ClassState ←
registerSimplePersistentEnvExtension {
name := `classExt
addEntryFn := ClassState.addEntry
addImportedFn := fun es => (mkStateFromImportedEntries ClassState.addEntry {} es).switch
}
/-- Return `true` if `n` is the name of type class in the given environment. -/
@[export lean_is_class]
def isClass (env : Environment) (n : Name) : Bool :=
(classExtension.getState env).outParamMap.contains n
/-- If `declName` is a class, return the position of its `outParams`. -/
def getOutParamPositions? (env : Environment) (declName : Name) : Option (Array Nat) :=
(classExtension.getState env).outParamMap.find? declName
/-- Return `true` if the given `declName` is a type class with output parameters. -/
@[export lean_has_out_params]
def hasOutParams (env : Environment) (declName : Name) : Bool :=
match getOutParamPositions? env declName with
| some outParams => !outParams.isEmpty
| none => false
/--
Auxiliary function for collection the position class `outParams`, and
checking whether they are being correctly used.
A regular (i.e., non `outParam`) must not depend on an `outParam`.
Reason for this restriction:
When performing type class resolution, we replace arguments that
are `outParam`s with fresh metavariables. If regular parameters could
depend on `outParam`s, then we would also have to replace them with
fresh metavariables. Otherwise, the resulting expression could be type
incorrect. This transformation would be counterintuitive to users since
we would implicitly treat these regular parameters as `outParam`s.
-/
private partial def checkOutParam (i : Nat) (outParamFVarIds : Array FVarId) (outParams : Array Nat) (type : Expr) : Except String (Array Nat) :=
match type with
| .forallE _ d b _ =>
if d.isOutParam then
let fvarId := { name := Name.mkNum `_fvar outParamFVarIds.size }
let fvar := mkFVar fvarId
let b := b.instantiate1 fvar
checkOutParam (i+1) (outParamFVarIds.push fvarId) (outParams.push i) b
else if d.hasAnyFVar fun fvarId => outParamFVarIds.contains fvarId then
Except.error s!"invalid class, parameter #{i+1} depends on `outParam`, but it is not an `outParam`"
else
checkOutParam (i+1) outParamFVarIds outParams b
| _ => return outParams
/--
Add a new type class with the given name to the environment.
`declName` must not be the name of an existing type class,
and it must be the name of constant in `env`.
`declName` must be a inductive datatype or axiom.
Recall that all structures are inductive datatypes.
-/
def addClass (env : Environment) (clsName : Name) : Except String Environment := do
if isClass env clsName then
throw s!"class has already been declared '{clsName}'"
let some decl := env.find? clsName
| throw s!"unknown declaration '{clsName}'"
unless decl matches .inductInfo .. | .axiomInfo .. do
throw s!"invalid 'class', declaration '{clsName}' must be inductive datatype, structure, or constant"
let outParams ← checkOutParam 0 #[] #[] decl.type
return classExtension.addEntry env { name := clsName, outParams }
builtin_initialize
registerBuiltinAttribute {
name := `class
descr := "type class"
add := fun decl stx kind => do
let env ← getEnv
Attribute.Builtin.ensureNoArgs stx
unless kind == AttributeKind.global do throwError "invalid attribute 'class', must be global"
let env ← ofExcept (addClass env decl)
setEnv env
}
end Lean
|
51939990b7f92fa9454232df9f15fa0c6c7bbbea | 57c233acf9386e610d99ed20ef139c5f97504ba3 | /archive/imo/imo2006_q3.lean | 4b6f9377eecb3d4d9a1618ab8bf59e68f154b67d | [
"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 | 5,394 | lean | /-
Copyright (c) 2021 Tian Chen. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Tian Chen
-/
import analysis.special_functions.sqrt
/-!
# IMO 2006 Q3
Determine the least real number $M$ such that
$$
\left| ab(a^2 - b^2) + bc(b^2 - c^2) + ca(c^2 - a^2) \right|
≤ M (a^2 + b^2 + c^2)^2
$$
for all real numbers $a$, $b$, $c$.
## Solution
The answer is $M = \frac{9 \sqrt 2}{32}$.
This is essentially a translation of the solution in
https://web.evanchen.cc/exams/IMO-2006-notes.pdf.
It involves making the substitution
`x = a - b`, `y = b - c`, `z = c - a`, `s = a + b + c`.
-/
open real
/-- Replacing `x` and `y` with their average increases the left side. -/
lemma lhs_ineq {x y : ℝ} (hxy : 0 ≤ x * y) :
16 * x ^ 2 * y ^ 2 * (x + y) ^ 2 ≤ ((x + y) ^ 2) ^ 3 :=
begin
conv_rhs { rw pow_succ' },
refine mul_le_mul_of_nonneg_right _ (sq_nonneg _),
apply le_of_sub_nonneg,
calc ((x + y) ^ 2) ^ 2 - 16 * x ^ 2 * y ^ 2
= (x - y) ^ 2 * ((x + y) ^ 2 + 4 * (x * y))
: by ring
... ≥ 0 : mul_nonneg (sq_nonneg _) $ add_nonneg (sq_nonneg _) $
mul_nonneg zero_lt_four.le hxy
end
lemma four_pow_four_pos : (0 : ℝ) < 4 ^ 4 := pow_pos zero_lt_four _
lemma mid_ineq {s t : ℝ} :
s * t ^ 3 ≤ (3 * t + s) ^ 4 / 4 ^ 4 :=
(le_div_iff four_pow_four_pos).mpr $ le_of_sub_nonneg $
calc (3 * t + s) ^ 4 - s * t ^ 3 * 4 ^ 4
= (s - t) ^ 2 * ((s + 7 * t) ^ 2 + 2 * (4 * t) ^ 2)
: by ring
... ≥ 0 : mul_nonneg (sq_nonneg _) $ add_nonneg (sq_nonneg _) $
mul_nonneg zero_le_two (sq_nonneg _)
/-- Replacing `x` and `y` with their average decreases the right side. -/
lemma rhs_ineq {x y : ℝ} :
3 * (x + y) ^ 2 ≤ 2 * (x ^ 2 + y ^ 2 + (x + y) ^ 2) :=
le_of_sub_nonneg $
calc _ = (x - y) ^ 2 : by ring
... ≥ 0 : sq_nonneg _
lemma zero_lt_32 : (0 : ℝ) < 32 := by norm_num
theorem subst_wlog {x y z s : ℝ} (hxy : 0 ≤ x * y) (hxyz : x + y + z = 0) :
32 * |x * y * z * s| ≤ sqrt 2 * (x^2 + y^2 + z^2 + s^2)^2 :=
have hz : (x + y)^2 = z^2 := neg_eq_of_add_eq_zero hxyz ▸ (neg_sq _).symm,
have hs : 0 ≤ 2 * s ^ 2 := mul_nonneg zero_le_two (sq_nonneg s),
have this : _ :=
calc (2 * s^2) * (16 * x^2 * y^2 * (x + y)^2)
≤ (3 * (x + y)^2 + 2 * s^2)^4 / 4^4 :
le_trans (mul_le_mul_of_nonneg_left (lhs_ineq hxy) hs) mid_ineq
... ≤ (2 * (x^2 + y^2 + (x + y)^2) + 2 * s^2)^4 / 4^4 :
div_le_div_of_le four_pow_four_pos.le $ pow_le_pow_of_le_left
(add_nonneg (mul_nonneg zero_lt_three.le (sq_nonneg _)) hs)
(add_le_add_right rhs_ineq _) _,
le_of_pow_le_pow _ (mul_nonneg (sqrt_nonneg _) (sq_nonneg _)) nat.succ_pos' $
calc (32 * |x * y * z * s|) ^ 2
= 32 * ((2 * s^2) * (16 * x^2 * y^2 * (x + y)^2)) :
by rw [mul_pow, sq_abs, hz]; ring
... ≤ 32 * ((2 * (x^2 + y^2 + (x + y)^2) + 2 * s^2)^4 / 4^4) :
mul_le_mul_of_nonneg_left this zero_lt_32.le
... = (sqrt 2 * (x^2 + y^2 + z^2 + s^2)^2)^2 :
by rw [← div_mul_eq_mul_div_comm, mul_pow, sq_sqrt zero_le_two,
hz, ← pow_mul, ← mul_add, mul_pow, ← mul_assoc];
exact congr (congr_arg _ $ by norm_num) rfl
/-- Proof that `M = 9 * sqrt 2 / 32` works with the substitution. -/
theorem subst_proof₁ (x y z s : ℝ) (hxyz : x + y + z = 0) :
|x * y * z * s| ≤ sqrt 2 / 32 * (x^2 + y^2 + z^2 + s^2)^2 :=
begin
wlog h' := mul_nonneg_of_three x y z using [x y z, y z x, z x y] tactic.skip,
{ rw [div_mul_eq_mul_div, le_div_iff' zero_lt_32],
exact subst_wlog h' hxyz },
{ intro h,
rw [add_assoc, add_comm] at h,
rw [mul_assoc x, mul_comm x, add_assoc (x^2), add_comm (x^2)],
exact this h },
{ intro h,
rw [add_comm, ← add_assoc] at h,
rw [mul_comm _ z, ← mul_assoc, add_comm _ (z^2), ← add_assoc],
exact this h }
end
lemma lhs_identity (a b c : ℝ) :
a * b * (a^2 - b^2) + b * c * (b^2 - c^2) + c * a * (c^2 - a^2)
= (a - b) * (b - c) * (c - a) * -(a + b + c) :=
by ring
theorem proof₁ {a b c : ℝ} :
|a * b * (a^2 - b^2) + b * c * (b^2 - c^2) + c * a * (c^2 - a^2)| ≤
9 * sqrt 2 / 32 * (a^2 + b^2 + c^2)^2 :=
calc _ = _ : congr_arg _ $ lhs_identity a b c
... ≤ _ : subst_proof₁ (a - b) (b - c) (c - a) (-(a + b + c)) (by ring)
... = _ : by ring
theorem proof₂ (M : ℝ)
(h : ∀ a b c : ℝ,
|a * b * (a^2 - b^2) + b * c * (b^2 - c^2) + c * a * (c^2 - a^2)| ≤
M * (a^2 + b^2 + c^2)^2) :
9 * sqrt 2 / 32 ≤ M :=
begin
have h₁ : ∀ x : ℝ,
(2 - 3 * x - 2) * (2 - (2 + 3 * x)) * (2 + 3 * x - (2 - 3 * x)) *
-(2 - 3 * x + 2 + (2 + 3 * x)) = -(18 ^ 2 * x ^ 2 * x),
{ intro, ring },
have h₂ : ∀ x : ℝ, (2 - 3 * x) ^ 2 + 2 ^ 2 + (2 + 3 * x) ^ 2 = 18 * x ^ 2 + 12,
{ intro, ring },
have := h (2 - 3 * sqrt 2) 2 (2 + 3 * sqrt 2),
rw [lhs_identity, h₁, h₂, sq_sqrt zero_le_two,
abs_neg, abs_eq_self.mpr, ← div_le_iff] at this,
{ convert this using 1, ring },
{ apply pow_pos, norm_num },
{ exact mul_nonneg (mul_nonneg (sq_nonneg _) zero_le_two) (sqrt_nonneg _) }
end
theorem imo2006_q3 (M : ℝ) :
(∀ a b c : ℝ,
|a * b * (a^2 - b^2) + b * c * (b^2 - c^2) + c * a * (c^2 - a^2)| ≤
M * (a^2 + b^2 + c^2)^2) ↔
9 * sqrt 2 / 32 ≤ M :=
⟨proof₂ M, λ h _ _ _, le_trans proof₁ $ mul_le_mul_of_nonneg_right h $ sq_nonneg _⟩
|
5b1f0879b3b76543fb8e65d351ea67a1d24c46ae | 4727251e0cd73359b15b664c3170e5d754078599 | /src/model_theory/skolem.lean | dcc2bb75a2a6ec040b2472f5e64f81b6d779fcd4 | [
"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 | 5,897 | lean | /-
Copyright (c) 2022 Aaron Anderson. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Aaron Anderson
-/
import model_theory.elementary_maps
/-!
# Skolem Functions and Downward Löwenheim–Skolem
## Main Definitions
* `first_order.language.skolem₁` is a language consisting of Skolem functions for another language.
## Main Results
* `first_order.language.exists_elementary_substructure_card_eq` is the Downward Löwenheim–Skolem
theorem: If `s` is a set in an `L`-structure `M` and `κ` an infinite cardinal such that
`max (# s, L.card) ≤ κ` and `κ ≤ # M`, then `M` has an elementary substructure containing `s` of
cardinality `κ`.
## TODO
* Use `skolem₁` recursively to construct an actual Skolemization of a language.
-/
universes u v w
namespace first_order
namespace language
open Structure cardinal
open_locale cardinal
variables (L : language.{u v}) {M : Type w} [nonempty M] [L.Structure M]
/-- A language consisting of Skolem functions for another language.
Called `skolem₁` because it is the first step in building a Skolemization of a language. -/
@[simps] def skolem₁ : language := ⟨λ n, L.bounded_formula empty (n + 1), λ _, empty⟩
variables {L}
theorem card_functions_sum_skolem₁ :
# (Σ n, (L.sum L.skolem₁).functions n) = # (Σ n, L.bounded_formula empty (n + 1)) :=
begin
simp only [card_functions_sum, skolem₁_functions, lift_id', mk_sigma, sum_add_distrib'],
rw [add_comm, add_eq_max, max_eq_left],
{ refine sum_le_sum _ _ (λ n, _),
rw [← lift_le, lift_lift, lift_mk_le],
refine ⟨⟨λ f, (func f default).bd_equal (func f default), λ f g h, _⟩⟩,
rcases h with ⟨rfl, ⟨rfl⟩⟩,
refl },
{ rw ← mk_sigma,
exact infinite_iff.1 (infinite.of_injective (λ n, ⟨n, ⊥⟩) (λ x y xy, (sigma.mk.inj xy).1)) }
end
theorem card_functions_sum_skolem₁_le :
# (Σ n, (L.sum L.skolem₁).functions n) ≤ max ω L.card :=
begin
rw card_functions_sum_skolem₁,
transitivity # (Σ n, L.bounded_formula empty n),
{ exact ⟨⟨sigma.map nat.succ (λ _, id), nat.succ_injective.sigma_map
(λ _, function.injective_id)⟩⟩ },
{ refine trans bounded_formula.card_le (lift_le.1 _),
simp only [mk_empty, lift_zero, lift_uzero, zero_add] }
end
/-- The structure assigning each function symbol of `L.skolem₁` to a skolem function generated with
choice. -/
noncomputable instance skolem₁_Structure : L.skolem₁.Structure M :=
⟨λ n φ x, classical.epsilon (λ a, φ.realize default (fin.snoc x a : _ → M)), λ _ r, empty.elim r⟩
namespace substructure
lemma skolem₁_reduct_is_elementary (S : (L.sum L.skolem₁).substructure M) :
(Lhom.sum_inl.substructure_reduct S).is_elementary :=
begin
apply (Lhom.sum_inl.substructure_reduct S).is_elementary_of_exists,
intros n φ x a h,
let φ' : (L.sum L.skolem₁).functions n := (Lhom.sum_inr.on_function φ),
exact ⟨⟨fun_map φ' (coe ∘ x), S.fun_mem (Lhom.sum_inr.on_function φ) (coe ∘ x) (λ i, (x i).2)⟩,
classical.epsilon_spec ⟨a, h⟩⟩,
end
/-- Any `L.sum L.skolem₁`-substructure is an elementary `L`-substructure. -/
noncomputable def elementary_skolem₁_reduct (S : (L.sum L.skolem₁).substructure M) :
L.elementary_substructure M :=
⟨Lhom.sum_inl.substructure_reduct S, λ _, S.skolem₁_reduct_is_elementary⟩
lemma coe_sort_elementary_skolem₁_reduct
(S : (L.sum L.skolem₁).substructure M) :
(S.elementary_skolem₁_reduct : Type w) = S :=
rfl
end substructure
open substructure
variables (L) (M)
instance : small (⊥ : (L.sum L.skolem₁).substructure M).elementary_skolem₁_reduct :=
begin
rw [coe_sort_elementary_skolem₁_reduct],
apply_instance,
end
theorem exists_small_elementary_substructure :
∃ (S : L.elementary_substructure M), small.{max u v} S :=
⟨substructure.elementary_skolem₁_reduct ⊥, infer_instance⟩
variables {L M}
/-- The Downward Löwenheim–Skolem Theorem :
If `s` is a set in an `L`-structure `M` and `κ` an infinite cardinal such that
`max (# s, L.card) ≤ κ` and `κ ≤ # M`, then `M` has an elementary substructure containing `s` of
cardinality `κ`. -/
theorem exists_elementary_substructure_card_eq (s : set M) (κ : cardinal.{max u v w})
(h1 : ω ≤ κ)
(h2 : cardinal.lift.{max u v} (# s) ≤ κ)
(h3 : cardinal.lift.{w} L.card ≤ κ)
(h4 : κ ≤ cardinal.lift.{max u v} (# M)) :
∃ (S : L.elementary_substructure M), s ⊆ S ∧ cardinal.lift.{max u v} (# S) = κ :=
begin
obtain ⟨s', rfl⟩ := cardinal.le_mk_iff_exists_set.1 h4,
refine ⟨elementary_skolem₁_reduct (closure (L.sum L.skolem₁)
(s ∪ (equiv.ulift.{(max u v) w} '' s'))),
(s.subset_union_left _).trans subset_closure, _⟩,
rw [coe_sort_elementary_skolem₁_reduct],
refine le_antisymm (lift_le.1 _) _,
{ rw lift_lift,
refine lift_card_closure_le.trans _,
rw max_le_iff at *,
rw [← lift_le, lift_lift, lift_le, add_comm, add_eq_max, max_le_iff, lift_id'],
{ refine ⟨h1, _, _⟩,
{ refine (lift_le.2 card_functions_sum_skolem₁_le).trans _,
rw [lift_max', lift_omega, max_le_iff, ← lift_lift, lift_id],
exact ⟨h1, h3⟩, },
{ refine ((lift_le.2 (mk_union_le _ _)).trans _),
rw [lift_add, add_comm, mk_image_eq_lift _ _ equiv.ulift.injective, ← lift_lift, lift_id',
add_eq_max h1, lift_id', max_eq_left h2] } },
{ rw [← lift_lift, lift_id, ← lift_omega, lift_le, ← infinite_iff],
exact infinite.of_injective (λ n, ⟨n, sum.inr bounded_formula.falsum⟩)
(λ x y xy, (sigma.ext_iff.1 xy).1) } },
{ rw [← lift_le, lift_lift, ← mk_image_eq_lift _ s' equiv.ulift.injective, lift_mk_le],
exact ⟨⟨set.inclusion ((set.subset_union_right _ _).trans subset_closure),
set.inclusion_injective _⟩⟩ },
end
end language
end first_order
|
b41375e2189e29bac9ff659fd0c2d88ec3276da7 | 947fa6c38e48771ae886239b4edce6db6e18d0fb | /src/data/polynomial/module.lean | c2d4f4f2744f3fa18f10cbc44c7b8fc55ffd3b69 | [
"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 | 6,626 | lean | /-
Copyright (c) 2022 Andrew Yang. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Andrew Yang
-/
import ring_theory.finiteness
/-!
# Polynomial module
In this file, we define the polynomial module for an `R`-module `M`, i.e. the `R[X]`-module `M[X]`.
This is defined as an type alias `polynomial_module R M := ℕ →₀ M`, since there might be different
module structures on `ℕ →₀ M` of interest. See the docstring of `polynomial_module` for details.
-/
universes u v
open polynomial
open_locale polynomial big_operators
variables (R M : Type*) [comm_ring R] [add_comm_group M] [module R M] (I : ideal R)
include R
/--
The `R[X]`-module `M[X]` for an `R`-module `M`.
This is isomorphic (as an `R`-module) to `polynomial M` when `M` is a ring.
We require all the module instances `module S (polynomial_module R M)` to factor through `R` except
`module R[X] (polynomial_module R M)`.
In this constraint, we have the following instances for example :
- `R` acts on `polynomial_module R R[X]`
- `R[X]` acts on `polynomial_module R R[X]` as `R[Y]` acting on `R[X][Y]`
- `R` acts on `polynomial_module R[X] R[X]`
- `R[X]` acts on `polynomial_module R[X] R[X]` as `R[X]` acting on `R[X][Y]`
- `R[X][X]` acts on `polynomial_module R[X] R[X]` as `R[X][Y]` acting on itself
This is also the reason why `R` is included in the alias, or else there will be two different
instances of `module R[X] (polynomial_module R[X])`.
See https://leanprover.zulipchat.com/#narrow/stream/144837-PR-reviews/topic/.2315065.20polynomial.20modules
for the full discussion.
-/
@[derive add_comm_group, derive inhabited, nolint unused_arguments]
def polynomial_module := ℕ →₀ M
omit R
variables {M}
variables {S : Type*} [comm_semiring S] [algebra S R] [module S M] [is_scalar_tower S R M]
namespace polynomial_module
/-- This is required to have the `is_scalar_tower S R M` instance to avoid diamonds. -/
@[nolint unused_arguments]
noncomputable
instance : module S (polynomial_module R M) :=
finsupp.module ℕ M
instance : has_coe_to_fun (polynomial_module R M) (λ _, ℕ → M) :=
finsupp.has_coe_to_fun
/-- The monomial `m * x ^ i`. This is defeq to `finsupp.single_add_hom`, and is redefined here
so that it has the desired type signature. -/
noncomputable
def single (i : ℕ) : M →+ polynomial_module R M :=
finsupp.single_add_hom i
lemma single_apply (i : ℕ) (m : M) (n : ℕ) : single R i m n = ite (i = n) m 0 :=
finsupp.single_apply
/-- `polynomial_module.single` as a linear map. -/
noncomputable
def lsingle (i : ℕ) : M →ₗ[R] polynomial_module R M :=
finsupp.lsingle i
lemma lsingle_apply (i : ℕ) (m : M) (n : ℕ) : lsingle R i m n = ite (i = n) m 0 :=
finsupp.single_apply
lemma single_smul (i : ℕ) (r : R) (m : M) : single R i (r • m) = r • (single R i m) :=
(lsingle R i).map_smul r m
variable {R}
lemma induction_linear {P : polynomial_module R M → Prop} (f : polynomial_module R M)
(h0 : P 0) (hadd : ∀ f g, P f → P g → P (f + g)) (hsingle : ∀ a b, P (single R a b)) : P f :=
finsupp.induction_linear f h0 hadd hsingle
@[semireducible] noncomputable
instance polynomial_module : module R[X] (polynomial_module R M) :=
module_polynomial_of_endo (finsupp.lmap_domain _ _ nat.succ)
instance (M : Type u) [add_comm_group M] [module R M] :
is_scalar_tower R R[X] (polynomial_module R M) :=
module_polynomial_of_endo.is_scalar_tower _
@[simp]
lemma monomial_smul_single (i : ℕ) (r : R) (j : ℕ) (m : M) :
monomial i r • single R j m = single R (i + j) (r • m) :=
begin
simp only [linear_map.mul_apply, polynomial.aeval_monomial, linear_map.pow_apply,
module.algebra_map_End_apply, module_polynomial_of_endo_smul_def],
induction i generalizing r j m,
{ simp [single] },
{ rw [function.iterate_succ, function.comp_app, nat.succ_eq_add_one, add_assoc, ← i_ih],
congr' 2,
ext a,
dsimp [single],
rw [finsupp.map_domain_single, nat.succ_eq_one_add] }
end
@[simp]
lemma monomial_smul_apply (i : ℕ) (r : R) (g : polynomial_module R M) (n : ℕ) :
(monomial i r • g) n = ite (i ≤ n) (r • g (n - i)) 0 :=
begin
induction g using polynomial_module.induction_linear with p q hp hq,
{ simp only [smul_zero, finsupp.zero_apply, if_t_t] },
{ simp only [smul_add, finsupp.add_apply, hp, hq],
split_ifs, exacts [rfl, zero_add 0] },
{ rw [monomial_smul_single, single_apply, single_apply, smul_ite, smul_zero, ← ite_and],
congr,
rw eq_iff_iff,
split,
{ rintro rfl, simp },
{ rintro ⟨e, rfl⟩, rw [add_comm, tsub_add_cancel_of_le e] } }
end
@[simp]
lemma smul_single_apply (i : ℕ) (f : R[X]) (m : M) (n : ℕ) :
(f • single R i m) n = ite (i ≤ n) (f.coeff (n - i) • m) 0 :=
begin
induction f using polynomial.induction_on' with p q hp hq,
{ rw [add_smul, finsupp.add_apply, hp, hq, coeff_add, add_smul],
split_ifs, exacts [rfl, zero_add 0] },
{ rw [monomial_smul_single, single_apply, coeff_monomial, ite_smul, zero_smul],
by_cases h : i ≤ n,
{ simp_rw [eq_tsub_iff_add_eq_of_le h, if_pos h] },
{ rw [if_neg h, ite_eq_right_iff], intro e, exfalso, linarith } }
end
lemma smul_apply (f : R[X]) (g : polynomial_module R M) (n : ℕ) :
(f • g) n = ∑ x in finset.nat.antidiagonal n, f.coeff x.1 • g x.2 :=
begin
induction f using polynomial.induction_on' with p q hp hq,
{ rw [add_smul, finsupp.add_apply, hp, hq, ← finset.sum_add_distrib],
congr',
ext,
rw [coeff_add, add_smul] },
{ rw [finset.nat.sum_antidiagonal_eq_sum_range_succ (λ i j, (monomial f_n f_a).coeff i • g j),
monomial_smul_apply],
dsimp [monomial],
simp_rw [finsupp.single_smul, finsupp.single_apply],
rw finset.sum_ite_eq,
simp [nat.lt_succ_iff] }
end
/-- `polynomial R R` is isomorphic to `R[X]` as an `R[X]` module. -/
noncomputable
def equiv_polynomial_self : polynomial_module R R ≃ₗ[R[X]] R[X] :=
{ map_smul' := λ r x, begin
induction r using polynomial.induction_on' with _ _ _ _ n p,
{ simp only [add_smul, map_add, ring_equiv.to_fun_eq_coe, *] at * },
{ ext i,
dsimp,
rw [monomial_smul_apply, polynomial.monomial_eq_C_mul_X, mul_assoc,
polynomial.coeff_C_mul, polynomial.coeff_X_pow_mul', mul_ite, mul_zero],
simp }
end,
..(polynomial.to_finsupp_iso R).symm }
/-- `polynomial R S` is isomorphic to `S[X]` as an `R` module. -/
noncomputable
def equiv_polynomial {S : Type*} [comm_ring S] [algebra R S] :
polynomial_module R S ≃ₗ[R] S[X] :=
{ map_smul' := λ r x, rfl, ..(polynomial.to_finsupp_iso S).symm }
end polynomial_module
|
e6734747d3a310da8c94ecfdb45f9884c21f6f18 | 8cae430f0a71442d02dbb1cbb14073b31048e4b0 | /src/topology/category/CompHaus/projective.lean | 7a9b8800539928c4e08a90124aee96f42e5c7c22 | [
"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 | 2,202 | lean | /-
Copyright (c) 2021 Johan Commelin. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johan Commelin
-/
import topology.category.CompHaus.basic
import topology.stone_cech
import category_theory.preadditive.projective
/-!
# CompHaus has enough projectives
> THIS FILE IS SYNCHRONIZED WITH MATHLIB4.
> Any changes to this file require a corresponding PR to mathlib4.
In this file we show that `CompHaus` has enough projectives.
## Main results
Let `X` be a compact Hausdorff space.
* `CompHaus.projective_ultrafilter`: the space `ultrafilter X` is a projective object
* `CompHaus.projective_presentation`: the natural map `ultrafilter X → X`
is a projective presentation
## Reference
See [miraglia2006introduction] Chapter 21 for a proof that `CompHaus` has enough projectives.
-/
noncomputable theory
open category_theory function
namespace CompHaus
instance projective_ultrafilter (X : Type*) :
projective (of $ ultrafilter X) :=
{ factors := λ Y Z f g hg,
begin
rw epi_iff_surjective at hg,
obtain ⟨g', hg'⟩ := hg.has_right_inverse,
let t : X → Y := g' ∘ f ∘ (pure : X → ultrafilter X),
let h : ultrafilter X → Y := ultrafilter.extend t,
have hh : continuous h := continuous_ultrafilter_extend _,
use ⟨h, hh⟩,
apply faithful.map_injective (forget CompHaus),
simp only [forget_map_eq_coe, continuous_map.coe_mk, coe_comp],
convert dense_range_pure.equalizer (g.continuous.comp hh) f.continuous _,
rw [comp.assoc, ultrafilter_extend_extends, ← comp.assoc, hg'.comp_eq_id, comp.left_id],
end }
/-- For any compact Hausdorff space `X`,
the natural map `ultrafilter X → X` is a projective presentation. -/
def projective_presentation (X : CompHaus) : projective_presentation X :=
{ P := of $ ultrafilter X,
f := ⟨_, continuous_ultrafilter_extend id⟩,
projective := CompHaus.projective_ultrafilter X,
epi := concrete_category.epi_of_surjective _ $
λ x, ⟨(pure x : ultrafilter X), congr_fun (ultrafilter_extend_extends (𝟙 X)) x⟩ }
instance : enough_projectives CompHaus :=
{ presentation := λ X, ⟨projective_presentation X⟩ }
end CompHaus
|
c6742c7af3b16cbef033efebeff4a83f6111e6b7 | 54deab7025df5d2df4573383df7e1e5497b7a2c2 | /data/fp/basic.lean | 8fa853a16f80e0e9fed85bd233ba8639a641c006 | [
"Apache-2.0"
] | permissive | HGldJ1966/mathlib | f8daac93a5b4ae805cfb0ecebac21a9ce9469009 | c5c5b504b918a6c5e91e372ee29ed754b0513e85 | refs/heads/master | 1,611,340,395,683 | 1,503,040,489,000 | 1,503,040,489,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 7,005 | lean | /-
Copyright (c) 2017 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro
Implementation of floating-point numbers.
-/
import data.rat
namespace fp
inductive rmode
| NE -- round to nearest even
class float_cfg :=
(prec emax : ℕ)
(prec_pos : prec > 0)
(prec_max : prec ≤ emax)
variable [C : float_cfg]
include C
def prec := C.prec
def emax := C.emax
def emin : ℤ := 1 - C.emax
structure nan_pl :=
(sign : bool)
(pl : fin (2^prec))
(pl_pos : 0 < pl.1)
class fpsettings :=
(merge_nan : nan_pl → nan_pl → nan_pl)
(default_nan : nan_pl)
namespace lean
instance fpsettings : fpsettings :=
{ merge_nan := λ n1 n2, n1,
default_nan := ⟨ff,
⟨1, nat.pow_lt_pow_of_lt_right dec_trivial C.prec_pos⟩, dec_trivial⟩ }
end lean
def valid_finite (e : ℤ) (m : ℕ) : Prop :=
emin ≤ e + prec - 1 ∧ e + prec - 1 ≤ emax ∧ e = max (e + m.size - prec) emin
instance dec_valid_finite (e m) : decidable (valid_finite e m) :=
by unfold valid_finite; apply_instance
inductive float
| inf {} : bool → float
| nan {} : nan_pl → float
| finite {} : bool → Π e m, valid_finite e m → float
def float.is_finite : float → bool
| (float.finite s e m f) := tt
| _ := ff
def shift2 (a b : ℕ) : ℤ → ℕ × ℕ
| (int.of_nat e) := (a.shiftl e, b)
| -[1+ e] := (a, b.shiftl e.succ)
def to_rat : Π (f : float), f.is_finite → ℚ
| (float.finite s e m f) _ :=
let (n, d) := shift2 m 1 e,
r := rat.mk_nat n d in
if s then -r else r
theorem float.zero.valid : valid_finite emin 0 :=
⟨begin
rw add_sub_assoc,
apply le_add_of_nonneg_right,
apply sub_nonneg_of_le,
apply int.coe_nat_le_coe_nat_of_le,
exact C.prec_pos
end, begin
unfold emin,
simp, rw ← sub_eq_add_neg,
transitivity,
apply sub_left_le_of_le_add,
apply le_add_of_nonneg_left,
apply int.coe_zero_le,
apply int.coe_nat_le_coe_nat_of_le C.prec_max
end, begin
rw max_eq_right,
change (nat.size 0 : ℤ) with 0,
simp, rw ← sub_eq_add_neg,
apply sub_left_le_of_le_add,
apply le_add_of_nonneg_left,
apply int.coe_zero_le
end⟩
def float.zero (s : bool) : float :=
float.finite s emin 0 float.zero.valid
protected def float.sign : float → bool
| (float.inf s) := s
| (float.nan ⟨s, pl, h⟩) := s
| (float.finite s e m f) := s
protected def float.is_zero : float → bool
| (float.finite s e 0 f) := tt
| _ := ff
protected def float.neg : float → float
| (float.inf s) := float.inf (bnot s)
| (float.nan ⟨s, pl, h⟩) := float.nan ⟨bnot s, pl, h⟩
| (float.finite s e m f) := float.finite (bnot s) e m f
def div_nat_lt_two_pow (n d : ℕ) : ℤ → bool
| (int.of_nat e) := n < d.shiftl e
| -[1+ e] := n.shiftl e.succ < d
-- TODO(Mario): Prove these and drop 'meta'
set_option eqn_compiler.zeta true
meta def of_pos_rat_dn (n : ℕ+) (d : ℕ+) : float × bool :=
let e₁ : ℤ := n.1.size - d.1.size - prec,
(d₁, n₁) := shift2 d.1 n.1 (e₁ + prec),
e₂ := if n₁ < d₁ then e₁ - 1 else e₁,
e₃ := max e₂ emin,
(d₂, n₂) := shift2 d.1 n.1 (e₃ + prec),
r := rat.mk_nat n₂ d₂,
m := r.floor in
(float.finite ff e₃ (int.to_nat m) undefined, r.denom = 1)
meta def next_up_pos (e m) (v : valid_finite e m) : float :=
let m' := m.succ in
if ss : m'.size = m.size then
float.finite ff e m' (by unfold valid_finite at *; rw ss; exact v)
else if h : e = emax then
float.inf ff
else
float.finite ff e.succ (nat.div2 m') undefined
meta def next_dn_pos (e m) (v : valid_finite e m) : float :=
match m with
| 0 := next_up_pos _ _ float.zero.valid
| nat.succ m' :=
if ss : m'.size = m.size then
float.finite ff e m' (by unfold valid_finite at *; rw ss; exact v)
else if h : e = emin then
float.finite ff emin m' undefined
else
float.finite ff e.pred (bit1 m') undefined
end
meta def next_up : float → float
| (float.finite ff e m f) := next_up_pos e m f
| (float.finite tt e m f) := float.neg $ next_dn_pos e m f
| f := f
meta def next_dn : float → float
| (float.finite ff e m f) := next_dn_pos e m f
| (float.finite tt e m f) := float.neg $ next_up_pos e m f
| f := f
meta def of_rat_up : ℚ → float
| ⟨0, _, _, _⟩ := float.zero ff
| ⟨nat.succ n, d, h, _⟩ :=
let (f, exact) := of_pos_rat_dn n.succ_pnat ⟨d, h⟩ in
if exact then f else next_up f
| ⟨-[1+n], d, h, _⟩ := float.neg (of_pos_rat_dn n.succ_pnat ⟨d, h⟩).1
meta def of_rat_dn (r : ℚ) : float :=
float.neg $ of_rat_up (-r)
meta def of_rat : rmode → ℚ → float
| rmode.NE r :=
let low := of_rat_dn r, high := of_rat_up r in
if hf : high.is_finite then
if r = to_rat _ hf then high else
if lf : low.is_finite then
if r - to_rat _ lf > to_rat _ hf - r then high else
if r - to_rat _ lf < to_rat _ hf - r then low else
match low, lf with float.finite s e m f, _ :=
if 2 ∣ m then low else high
end
else float.inf tt
else float.inf ff
namespace float
variable [S : fpsettings]
def default_nan : float := nan (fpsettings.default_nan C)
instance : has_neg float := ⟨float.neg⟩
meta def add (mode : rmode) : float → float → float
| (nan p₁) (nan p₂) := nan $ fpsettings.merge_nan p₁ p₂
| (nan p₁) _ := nan p₁
| _ (nan p₂) := nan p₂
| (inf tt) (inf ff) := default_nan
| (inf ff) (inf tt) := default_nan
| (inf s₁) _ := inf s₁
| _ (inf s₂) := inf s₂
| (finite s₁ e₁ m₁ v₁) (finite s₂ e₂ m₂ v₂) :=
let f₁ := finite s₁ e₁ m₁ v₁, f₂ := finite s₂ e₂ m₂ v₂ in
of_rat mode (to_rat f₁ rfl + to_rat f₂ rfl)
meta instance : has_add float := ⟨float.add rmode.NE⟩
meta def sub (mode : rmode) (f1 f2 : float) : float :=
add mode f1 (-f2)
meta instance : has_sub float := ⟨float.sub rmode.NE⟩
meta def mul (mode : rmode) : float → float → float
| (nan p₁) (nan p₂) := nan $ fpsettings.merge_nan p₁ p₂
| (nan p₁) _ := nan p₁
| _ (nan p₂) := nan p₂
| (inf s₁) f₂ := if f₂.is_zero then default_nan else inf (bxor s₁ f₂.sign)
| f₁ (inf s₂) := if f₁.is_zero then default_nan else inf (bxor f₁.sign s₂)
| (finite s₁ e₁ m₁ v₁) (finite s₂ e₂ m₂ v₂) :=
let f₁ := finite s₁ e₁ m₁ v₁, f₂ := finite s₂ e₂ m₂ v₂ in
of_rat mode (to_rat f₁ rfl * to_rat f₂ rfl)
meta def div (mode : rmode) : float → float → float
| (nan p₁) (nan p₂) := nan $ fpsettings.merge_nan p₁ p₂
| (nan p₁) _ := nan p₁
| _ (nan p₂) := nan p₂
| (inf s₁) (inf s₂) := default_nan
| (inf s₁) f₂ := inf (bxor s₁ f₂.sign)
| f₁ (inf s₂) := zero (bxor f₁.sign s₂)
| (finite s₁ e₁ m₁ v₁) (finite s₂ e₂ m₂ v₂) :=
let f₁ := finite s₁ e₁ m₁ v₁, f₂ := finite s₂ e₂ m₂ v₂ in
if f₂.is_zero then inf (bxor s₁ s₂) else
of_rat mode (to_rat f₁ rfl / to_rat f₂ rfl)
end float
end fp |
7836f2712f9455fc7816974f59ec3ebe90620610 | 07c76fbd96ea1786cc6392fa834be62643cea420 | /hott/types/list.hlean | 41c24cb53b4d74660e692e46ee4bd0a445afac75 | [
"Apache-2.0"
] | permissive | fpvandoorn/lean2 | 5a430a153b570bf70dc8526d06f18fc000a60ad9 | 0889cf65b7b3cebfb8831b8731d89c2453dd1e9f | refs/heads/master | 1,592,036,508,364 | 1,545,093,958,000 | 1,545,093,958,000 | 75,436,854 | 0 | 0 | null | 1,480,718,780,000 | 1,480,718,780,000 | null | UTF-8 | Lean | false | false | 39,413 | hlean | /-
Copyright (c) 2014 Parikshit Khanna. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Parikshit Khanna, Jeremy Avigad, Leonardo de Moura, Floris van Doorn
Basic properties of lists.
Ported from the standard library (list.basic and list.comb)
Some lemmas are commented out, their proofs need to be repaired when needed
-/
import .pointed .nat .pi
open eq lift nat is_trunc pi pointed sum function prod option sigma algebra prod.ops unit sigma.ops
inductive list (T : Type) : Type :=
| nil {} : list T
| cons : T → list T → list T
definition pointed_list [instance] (A : Type) : pointed (list A) :=
pointed.mk list.nil
universe variable u
namespace list
notation h :: t := cons h t
notation `[` l:(foldr `, ` (h t, cons h t) nil `]`) := l
variable {T : Type.{u}}
lemma cons_ne_nil (a : T) (l : list T) : a::l ≠ [] :=
by contradiction
lemma head_eq_of_cons_eq {A : Type} {h₁ h₂ : A} {t₁ t₂ : list A} :
(h₁::t₁) = (h₂::t₂) → h₁ = h₂ :=
assume Peq, down (list.no_confusion Peq (assume Pheq Pteq, Pheq))
lemma tail_eq_of_cons_eq {A : Type} {h₁ h₂ : A} {t₁ t₂ : list A} :
(h₁::t₁) = (h₂::t₂) → t₁ = t₂ :=
assume Peq, down (list.no_confusion Peq (assume Pheq Pteq, Pteq))
/- append -/
definition append : list T → list T → list T
| [] l := l
| (h :: s) t := h :: (append s t)
notation l₁ ++ l₂ := append l₁ l₂
theorem append_nil_left (t : list T) : [] ++ t = t := idp
theorem append_cons (x : T) (s t : list T) : (x::s) ++ t = x :: (s ++ t) := idp
theorem append_nil_right : ∀ (t : list T), t ++ [] = t
| [] := rfl
| (a :: l) := calc
(a :: l) ++ [] = a :: (l ++ []) : rfl
... = a :: l : append_nil_right l
theorem append.assoc : ∀ (s t u : list T), s ++ t ++ u = s ++ (t ++ u)
| [] t u := rfl
| (a :: l) t u :=
show a :: (l ++ t ++ u) = (a :: l) ++ (t ++ u),
by rewrite (append.assoc l t u)
/- length -/
definition length : list T → nat
| [] := 0
| (a :: l) := length l + 1
theorem length_nil : length (@nil T) = 0 := idp
theorem length_cons (x : T) (t : list T) : length (x::t) = length t + 1 := idp
theorem length_append : ∀ (s t : list T), length (s ++ t) = length s + length t
| [] t := calc
length ([] ++ t) = length t : rfl
... = length [] + length t : by rewrite [length_nil, zero_add]
| (a :: s) t := calc
length (a :: s ++ t) = length (s ++ t) + 1 : rfl
... = length s + length t + 1 : length_append
... = (length s + 1) + length t : succ_add
... = length (a :: s) + length t : rfl
theorem eq_nil_of_length_eq_zero : ∀ {l : list T}, length l = 0 → l = []
| [] H := rfl
| (a::s) H := by contradiction
theorem ne_nil_of_length_eq_succ : ∀ {l : list T} {n : nat}, length l = succ n → l ≠ []
| [] n h := by contradiction
| (a::l) n h := by contradiction
-- add_rewrite length_nil length_cons
/- concat -/
definition concat : Π (x : T), list T → list T
| a [] := [a]
| a (b :: l) := b :: concat a l
theorem concat_nil (x : T) : concat x [] = [x] := idp
theorem concat_cons (x y : T) (l : list T) : concat x (y::l) = y::(concat x l) := idp
theorem concat_eq_append (a : T) : ∀ (l : list T), concat a l = l ++ [a]
| [] := rfl
| (b :: l) :=
show b :: (concat a l) = (b :: l) ++ (a :: []),
by rewrite concat_eq_append
theorem concat_ne_nil (a : T) : ∀ (l : list T), concat a l ≠ [] :=
by intro l; induction l; repeat contradiction
theorem length_concat (a : T) : ∀ (l : list T), length (concat a l) = length l + 1
| [] := rfl
| (x::xs) := by rewrite [concat_cons, *length_cons, length_concat]
theorem concat_append (a : T) : ∀ (l₁ l₂ : list T), concat a l₁ ++ l₂ = l₁ ++ a :: l₂
| [] := λl₂, rfl
| (x::xs) := λl₂, begin rewrite [concat_cons,append_cons, concat_append] end
theorem append_concat (a : T) : ∀(l₁ l₂ : list T), l₁ ++ concat a l₂ = concat a (l₁ ++ l₂)
| [] := λl₂, rfl
| (x::xs) := λl₂, begin rewrite [+append_cons, concat_cons, append_concat] end
/- last -/
definition last : Π l : list T, l ≠ [] → T
| [] h := absurd rfl h
| [a] h := a
| (a₁::a₂::l) h := last (a₂::l) !cons_ne_nil
lemma last_singleton (a : T) (h : [a] ≠ []) : last [a] h = a :=
rfl
lemma last_cons_cons (a₁ a₂ : T) (l : list T) (h : a₁::a₂::l ≠ [])
: last (a₁::a₂::l) h = last (a₂::l) !cons_ne_nil :=
rfl
theorem last_congr {l₁ l₂ : list T} (h₁ : l₁ ≠ []) (h₂ : l₂ ≠ []) (h₃ : l₁ = l₂)
: last l₁ h₁ = last l₂ h₂ :=
apd011 last h₃ !is_prop.elimo
theorem last_concat {x : T} : ∀ {l : list T} (h : concat x l ≠ []), last (concat x l) h = x
| [] h := rfl
| [a] h := rfl
| (a₁::a₂::l) h :=
begin
change last (a₁::a₂::concat x l) !cons_ne_nil = x,
rewrite last_cons_cons,
change last (concat x (a₂::l)) (cons_ne_nil a₂ (concat x l)) = x,
apply last_concat
end
-- add_rewrite append_nil append_cons
/- reverse -/
definition reverse : list T → list T
| [] := []
| (a :: l) := concat a (reverse l)
theorem reverse_nil : reverse (@nil T) = [] := idp
theorem reverse_cons (x : T) (l : list T) : reverse (x::l) = concat x (reverse l) := idp
theorem reverse_singleton (x : T) : reverse [x] = [x] := idp
theorem reverse_append : ∀ (s t : list T), reverse (s ++ t) = (reverse t) ++ (reverse s)
| [] t2 := calc
reverse ([] ++ t2) = reverse t2 : rfl
... = (reverse t2) ++ [] : append_nil_right
... = (reverse t2) ++ (reverse []) : by rewrite reverse_nil
| (a2 :: s2) t2 := calc
reverse ((a2 :: s2) ++ t2) = concat a2 (reverse (s2 ++ t2)) : rfl
... = concat a2 (reverse t2 ++ reverse s2) : reverse_append
... = (reverse t2 ++ reverse s2) ++ [a2] : concat_eq_append
... = reverse t2 ++ (reverse s2 ++ [a2]) : append.assoc
... = reverse t2 ++ concat a2 (reverse s2) : concat_eq_append
... = reverse t2 ++ reverse (a2 :: s2) : rfl
theorem reverse_reverse : ∀ (l : list T), reverse (reverse l) = l
| [] := rfl
| (a :: l) := calc
reverse (reverse (a :: l)) = reverse (concat a (reverse l)) : rfl
... = reverse (reverse l ++ [a]) : concat_eq_append
... = reverse [a] ++ reverse (reverse l) : reverse_append
... = reverse [a] ++ l : reverse_reverse
... = a :: l : rfl
theorem concat_eq_reverse_cons (x : T) (l : list T) : concat x l = reverse (x :: reverse l) :=
calc
concat x l = concat x (reverse (reverse l)) : reverse_reverse
... = reverse (x :: reverse l) : rfl
theorem length_reverse : ∀ (l : list T), length (reverse l) = length l
| [] := rfl
| (x::xs) := begin unfold reverse, rewrite [length_concat, length_cons, length_reverse] end
/- head and tail -/
definition head [h : pointed T] : list T → T
| [] := pt
| (a :: l) := a
theorem head_cons [h : pointed T] (a : T) (l : list T) : head (a::l) = a := idp
theorem head_append [h : pointed T] (t : list T) : ∀ {s : list T}, s ≠ [] → head (s ++ t) = head s
| [] H := absurd rfl H
| (a :: s) H :=
show head (a :: (s ++ t)) = head (a :: s),
by rewrite head_cons
definition tail : list T → list T
| [] := []
| (a :: l) := l
theorem tail_nil : tail (@nil T) = [] := idp
theorem tail_cons (a : T) (l : list T) : tail (a::l) = l := idp
theorem cons_head_tail [h : pointed T] {l : list T} : l ≠ [] → (head l)::(tail l) = l :=
list.cases_on l
(suppose [] ≠ [], absurd rfl this)
(take x l, suppose x::l ≠ [], rfl)
/- list membership -/
definition mem : T → list T → Type.{u}
| a [] := lift empty
| a (b :: l) := a = b ⊎ mem a l
notation e ∈ s := mem e s
notation e ∉ s := ¬ e ∈ s
theorem mem_nil_iff (x : T) : x ∈ [] ↔ empty :=
iff.intro down up
theorem not_mem_nil (x : T) : x ∉ [] :=
iff.mp !mem_nil_iff
theorem mem_cons (x : T) (l : list T) : x ∈ x :: l :=
sum.inl rfl
theorem mem_cons_of_mem (y : T) {x : T} {l : list T} : x ∈ l → x ∈ y :: l :=
assume H, sum.inr H
theorem mem_cons_iff (x y : T) (l : list T) : x ∈ y::l ↔ (x = y ⊎ x ∈ l) :=
iff.rfl
theorem eq_or_mem_of_mem_cons {x y : T} {l : list T} : x ∈ y::l → x = y ⊎ x ∈ l :=
assume h, h
theorem mem_singleton {x a : T} : x ∈ [a] → x = a :=
suppose x ∈ [a], sum.rec_on (eq_or_mem_of_mem_cons this)
(suppose x = a, this)
(suppose x ∈ [], absurd this !not_mem_nil)
theorem mem_of_mem_cons_of_mem {a b : T} {l : list T} : a ∈ b::l → b ∈ l → a ∈ l :=
assume ainbl binl, sum.rec_on (eq_or_mem_of_mem_cons ainbl)
(suppose a = b, by substvars; exact binl)
(suppose a ∈ l, this)
theorem mem_or_mem_of_mem_append {x : T} {s t : list T} : x ∈ s ++ t → x ∈ s ⊎ x ∈ t :=
list.rec_on s sum.inr
(take y s,
assume IH : x ∈ s ++ t → x ∈ s ⊎ x ∈ t,
suppose x ∈ y::s ++ t,
have x = y ⊎ x ∈ s ++ t, from this,
have x = y ⊎ x ∈ s ⊎ x ∈ t, from sum_of_sum_of_imp_right this IH,
iff.elim_right sum.assoc this)
theorem mem_append_of_mem_or_mem {x : T} {s t : list T} : (x ∈ s ⊎ x ∈ t) → x ∈ s ++ t :=
list.rec_on s
(take H, sum.rec_on H (empty.elim ∘ down) (assume H, H))
(take y s,
assume IH : (x ∈ s ⊎ x ∈ t) → x ∈ s ++ t,
suppose x ∈ y::s ⊎ x ∈ t,
sum.rec_on this
(suppose x ∈ y::s,
sum.rec_on (eq_or_mem_of_mem_cons this)
(suppose x = y, sum.inl this)
(suppose x ∈ s, sum.inr (IH (sum.inl this))))
(suppose x ∈ t, sum.inr (IH (sum.inr this))))
theorem mem_append_iff (x : T) (s t : list T) : x ∈ s ++ t ↔ x ∈ s ⊎ x ∈ t :=
iff.intro mem_or_mem_of_mem_append mem_append_of_mem_or_mem
theorem not_mem_of_not_mem_append_left {x : T} {s t : list T} : x ∉ s++t → x ∉ s :=
λ nxinst xins, absurd (mem_append_of_mem_or_mem (sum.inl xins)) nxinst
theorem not_mem_of_not_mem_append_right {x : T} {s t : list T} : x ∉ s++t → x ∉ t :=
λ nxinst xint, absurd (mem_append_of_mem_or_mem (sum.inr xint)) nxinst
theorem not_mem_append {x : T} {s t : list T} : x ∉ s → x ∉ t → x ∉ s++t :=
λ nxins nxint xinst, sum.rec_on (mem_or_mem_of_mem_append xinst)
(λ xins, by contradiction)
(λ xint, by contradiction)
lemma length_pos_of_mem {a : T} : ∀ {l : list T}, a ∈ l → 0 < length l
| [] := assume Pinnil, by induction Pinnil; contradiction
| (b::l) := assume Pin, !zero_lt_succ
local attribute mem [reducible]
local attribute append [reducible]
theorem mem_split {x : T} {l : list T} : x ∈ l → Σs t : list T, l = s ++ (x::t) :=
list.rec_on l
(suppose x ∈ [], empty.elim (iff.elim_left !mem_nil_iff this))
(take y l,
assume IH : x ∈ l → Σs t : list T, l = s ++ (x::t),
suppose x ∈ y::l,
sum.rec_on (eq_or_mem_of_mem_cons this)
(suppose x = y,
sigma.mk [] (!sigma.mk (this ▸ rfl)))
(suppose x ∈ l,
obtain s (H2 : Σt : list T, l = s ++ (x::t)), from IH this,
obtain t (H3 : l = s ++ (x::t)), from H2,
have y :: l = (y::s) ++ (x::t),
from H3 ▸ rfl,
!sigma.mk (!sigma.mk this)))
theorem mem_append_left {a : T} {l₁ : list T} (l₂ : list T) : a ∈ l₁ → a ∈ l₁ ++ l₂ :=
assume ainl₁, mem_append_of_mem_or_mem (sum.inl ainl₁)
theorem mem_append_right {a : T} (l₁ : list T) {l₂ : list T} : a ∈ l₂ → a ∈ l₁ ++ l₂ :=
assume ainl₂, mem_append_of_mem_or_mem (sum.inr ainl₂)
definition decidable_mem [instance] [H : decidable_eq T] (x : T) (l : list T) : decidable (x ∈ l) :=
list.rec_on l
(decidable.inr begin intro x, induction x, contradiction end)
(take (h : T) (l : list T) (iH : decidable (x ∈ l)),
show decidable (x ∈ h::l), from
decidable.rec_on iH
(assume Hp : x ∈ l,
decidable.rec_on (H x h)
(suppose x = h,
decidable.inl (sum.inl this))
(suppose x ≠ h,
decidable.inl (sum.inr Hp)))
(suppose ¬x ∈ l,
decidable.rec_on (H x h)
(suppose x = h, decidable.inl (sum.inl this))
(suppose x ≠ h,
have ¬(x = h ⊎ x ∈ l), from
suppose x = h ⊎ x ∈ l, sum.rec_on this
(suppose x = h, by contradiction)
(suppose x ∈ l, by contradiction),
have ¬x ∈ h::l, from
iff.elim_right (not_iff_not_of_iff !mem_cons_iff) this,
decidable.inr this)))
theorem mem_of_ne_of_mem {x y : T} {l : list T} (H₁ : x ≠ y) (H₂ : x ∈ y :: l) : x ∈ l :=
sum.rec_on (eq_or_mem_of_mem_cons H₂) (λe, absurd e H₁) (λr, r)
theorem ne_of_not_mem_cons {a b : T} {l : list T} : a ∉ b::l → a ≠ b :=
assume nin aeqb, absurd (sum.inl aeqb) nin
theorem not_mem_of_not_mem_cons {a b : T} {l : list T} : a ∉ b::l → a ∉ l :=
assume nin nainl, absurd (sum.inr nainl) nin
lemma not_mem_cons_of_ne_of_not_mem {x y : T} {l : list T} : x ≠ y → x ∉ l → x ∉ y::l :=
assume P1 P2, not.intro (assume Pxin, absurd (eq_or_mem_of_mem_cons Pxin) (not_sum P1 P2))
lemma ne_and_not_mem_of_not_mem_cons {x y : T} {l : list T} : x ∉ y::l → x ≠ y × x ∉ l :=
assume P, prod.mk (ne_of_not_mem_cons P) (not_mem_of_not_mem_cons P)
definition sublist (l₁ l₂ : list T) := ∀ ⦃a : T⦄, a ∈ l₁ → a ∈ l₂
infix ⊆ := sublist
theorem nil_sub (l : list T) : [] ⊆ l :=
λ b i, empty.elim (iff.mp (mem_nil_iff b) i)
theorem sub.refl (l : list T) : l ⊆ l :=
λ b i, i
theorem sub.trans {l₁ l₂ l₃ : list T} (H₁ : l₁ ⊆ l₂) (H₂ : l₂ ⊆ l₃) : l₁ ⊆ l₃ :=
λ b i, H₂ (H₁ i)
theorem sub_cons (a : T) (l : list T) : l ⊆ a::l :=
λ b i, sum.inr i
theorem sub_of_cons_sub {a : T} {l₁ l₂ : list T} : a::l₁ ⊆ l₂ → l₁ ⊆ l₂ :=
λ s b i, s b (mem_cons_of_mem _ i)
theorem cons_sub_cons {l₁ l₂ : list T} (a : T) (s : l₁ ⊆ l₂) : (a::l₁) ⊆ (a::l₂) :=
λ b Hin, sum.rec_on (eq_or_mem_of_mem_cons Hin)
(λ e : b = a, sum.inl e)
(λ i : b ∈ l₁, sum.inr (s i))
theorem sub_append_left (l₁ l₂ : list T) : l₁ ⊆ l₁++l₂ :=
λ b i, iff.mpr (mem_append_iff b l₁ l₂) (sum.inl i)
theorem sub_append_right (l₁ l₂ : list T) : l₂ ⊆ l₁++l₂ :=
λ b i, iff.mpr (mem_append_iff b l₁ l₂) (sum.inr i)
theorem sub_cons_of_sub (a : T) {l₁ l₂ : list T} : l₁ ⊆ l₂ → l₁ ⊆ (a::l₂) :=
λ (s : l₁ ⊆ l₂) (x : T) (i : x ∈ l₁), sum.inr (s i)
theorem sub_app_of_sub_left (l l₁ l₂ : list T) : l ⊆ l₁ → l ⊆ l₁++l₂ :=
λ (s : l ⊆ l₁) (x : T) (xinl : x ∈ l),
have x ∈ l₁, from s xinl,
mem_append_of_mem_or_mem (sum.inl this)
theorem sub_app_of_sub_right (l l₁ l₂ : list T) : l ⊆ l₂ → l ⊆ l₁++l₂ :=
λ (s : l ⊆ l₂) (x : T) (xinl : x ∈ l),
have x ∈ l₂, from s xinl,
mem_append_of_mem_or_mem (sum.inr this)
theorem cons_sub_of_sub_of_mem {a : T} {l m : list T} : a ∈ m → l ⊆ m → a::l ⊆ m :=
λ (ainm : a ∈ m) (lsubm : l ⊆ m) (x : T) (xinal : x ∈ a::l), sum.rec_on (eq_or_mem_of_mem_cons xinal)
(suppose x = a, by substvars; exact ainm)
(suppose x ∈ l, lsubm this)
theorem app_sub_of_sub_of_sub {l₁ l₂ l : list T} : l₁ ⊆ l → l₂ ⊆ l → l₁++l₂ ⊆ l :=
λ (l₁subl : l₁ ⊆ l) (l₂subl : l₂ ⊆ l) (x : T) (xinl₁l₂ : x ∈ l₁++l₂),
sum.rec_on (mem_or_mem_of_mem_append xinl₁l₂)
(suppose x ∈ l₁, l₁subl this)
(suppose x ∈ l₂, l₂subl this)
/- find -/
section
variable [H : decidable_eq T]
include H
definition find : T → list T → nat
| a [] := 0
| a (b :: l) := if a = b then 0 else succ (find a l)
theorem find_nil (x : T) : find x [] = 0 := idp
theorem find_cons (x y : T) (l : list T) : find x (y::l) = if x = y then 0 else succ (find x l) :=
idp
theorem find_cons_of_eq {x y : T} (l : list T) : x = y → find x (y::l) = 0 :=
assume e, if_pos e
theorem find_cons_of_ne {x y : T} (l : list T) : x ≠ y → find x (y::l) = succ (find x l) :=
assume n, if_neg n
/-theorem find_of_not_mem {l : list T} {x : T} : ¬x ∈ l → find x l = length l :=
list.rec_on l
(suppose ¬x ∈ [], _)
(take y l,
assume iH : ¬x ∈ l → find x l = length l,
suppose ¬x ∈ y::l,
have ¬(x = y ⊎ x ∈ l), from iff.elim_right (not_iff_not_of_iff !mem_cons_iff) this,
have ¬x = y × ¬x ∈ l, from (iff.elim_left not_sum_iff_not_prod_not this),
calc
find x (y::l) = if x = y then 0 else succ (find x l) : !find_cons
... = succ (find x l) : if_neg (prod.pr1 this)
... = succ (length l) : {iH (prod.pr2 this)}
... = length (y::l) : !length_cons⁻¹)-/
lemma find_le_length : ∀ {a} {l : list T}, find a l ≤ length l
| a [] := !le.refl
| a (b::l) := decidable.rec_on (H a b)
(assume Peq, by rewrite [find_cons_of_eq l Peq]; exact !zero_le)
(assume Pne,
begin
rewrite [find_cons_of_ne l Pne, length_cons],
apply succ_le_succ, apply find_le_length
end)
/-lemma not_mem_of_find_eq_length : ∀ {a} {l : list T}, find a l = length l → a ∉ l
| a [] := assume Peq, !not_mem_nil
| a (b::l) := decidable.rec_on (H a b)
(assume Peq, by rewrite [find_cons_of_eq l Peq, length_cons]; contradiction)
(assume Pne,
begin
rewrite [find_cons_of_ne l Pne, length_cons, mem_cons_iff],
intro Plen, apply (not_or Pne),
exact not_mem_of_find_eq_length (succ.inj Plen)
end)-/
/-lemma find_lt_length {a} {l : list T} (Pin : a ∈ l) : find a l < length l :=
begin
apply nat.lt_of_le_prod_ne,
apply find_le_length,
apply not.intro, intro Peq,
exact absurd Pin (not_mem_of_find_eq_length Peq)
end-/
end
/- nth element -/
section nth
definition nth : list T → nat → option T
| [] n := none
| (a :: l) 0 := some a
| (a :: l) (n+1) := nth l n
theorem nth_zero (a : T) (l : list T) : nth (a :: l) 0 = some a := idp
theorem nth_succ (a : T) (l : list T) (n : nat) : nth (a::l) (succ n) = nth l n := idp
theorem nth_eq_some : ∀ {l : list T} {n : nat}, n < length l → Σ a : T, nth l n = some a
| [] n h := absurd h !not_lt_zero
| (a::l) 0 h := ⟨a, rfl⟩
| (a::l) (succ n) h :=
have n < length l, from lt_of_succ_lt_succ h,
obtain (r : T) (req : nth l n = some r), from nth_eq_some this,
⟨r, by rewrite [nth_succ, req]⟩
open decidable
theorem find_nth [h : decidable_eq T] {a : T} : ∀ {l}, a ∈ l → nth l (find a l) = some a
| [] ain := absurd ain !not_mem_nil
| (b::l) ainbl := by_cases
(λ aeqb : a = b, by rewrite [find_cons_of_eq _ aeqb, nth_zero, aeqb])
(λ aneb : a ≠ b, sum.rec_on (eq_or_mem_of_mem_cons ainbl)
(λ aeqb : a = b, absurd aeqb aneb)
(λ ainl : a ∈ l, by rewrite [find_cons_of_ne _ aneb, nth_succ, find_nth ainl]))
definition inth [h : pointed T] (l : list T) (n : nat) : T :=
match nth l n with
| some a := a
| none := pt
end
theorem inth_zero [h : pointed T] (a : T) (l : list T) : inth (a :: l) 0 = a := idp
theorem inth_succ [h : pointed T] (a : T) (l : list T) (n : nat) : inth (a::l) (n+1) = inth l n :=
idp
end nth
section ith
definition ith : Π (l : list T) (i : nat), i < length l → T
| nil i h := absurd h !not_lt_zero
| (x::xs) 0 h := x
| (x::xs) (succ i) h := ith xs i (lt_of_succ_lt_succ h)
lemma ith_zero (a : T) (l : list T) (h : 0 < length (a::l)) : ith (a::l) 0 h = a :=
rfl
lemma ith_succ (a : T) (l : list T) (i : nat) (h : succ i < length (a::l))
: ith (a::l) (succ i) h = ith l i (lt_of_succ_lt_succ h) :=
rfl
end ith
open decidable
definition has_decidable_eq {A : Type} [H : decidable_eq A] : ∀ l₁ l₂ : list A, decidable (l₁ = l₂)
| [] [] := inl rfl
| [] (b::l₂) := inr (by contradiction)
| (a::l₁) [] := inr (by contradiction)
| (a::l₁) (b::l₂) :=
match H a b with
| inl Hab :=
match has_decidable_eq l₁ l₂ with
| inl He := inl (by congruence; repeat assumption)
| inr Hn := inr (by intro H; injection H; contradiction)
end
| inr Hnab := inr (by intro H; injection H; contradiction)
end
/- quasiequal a l l' means that l' is exactly l, with a added
once somewhere -/
section qeq
variable {A : Type.{u}}
inductive qeq (a : A) : list A → list A → Type.{u} :=
| qhead : ∀ l, qeq a l (a::l)
| qcons : ∀ (b : A) {l l' : list A}, qeq a l l' → qeq a (b::l) (b::l')
open qeq
notation l' `≈`:50 a `|` l:50 := qeq a l l'
theorem qeq_app : ∀ (l₁ : list A) (a : A) (l₂ : list A), l₁++(a::l₂) ≈ a|l₁++l₂
| [] a l₂ := qhead a l₂
| (x::xs) a l₂ := qcons x (qeq_app xs a l₂)
theorem mem_head_of_qeq {a : A} {l₁ l₂ : list A} : l₁≈a|l₂ → a ∈ l₁ :=
take q, qeq.rec_on q
(λ l, !mem_cons)
(λ b l l' q r, sum.inr r)
theorem mem_tail_of_qeq {a : A} {l₁ l₂ : list A} : l₁≈a|l₂ → ∀ x, x ∈ l₂ → x ∈ l₁ :=
take q, qeq.rec_on q
(λ l x i, sum.inr i)
(λ b l l' q r x xinbl, sum.rec_on (eq_or_mem_of_mem_cons xinbl)
(λ xeqb : x = b, xeqb ▸ mem_cons x l')
(λ xinl : x ∈ l, sum.inr (r x xinl)))
/-
theorem mem_cons_of_qeq {a : A} {l₁ l₂ : list A} : l₁≈a|l₂ → ∀ x, x ∈ l₁ → x ∈ a::l₂ :=
take q, qeq.rec_on q
(λ l x i, i)
(λ b l l' q r x xinbl', sum.elim_on (eq_or_mem_of_mem_cons xinbl')
(λ xeqb : x = b, xeqb ▸ sum.inr (mem_cons x l))
(λ xinl' : x ∈ l', sum.rec_on (eq_or_mem_of_mem_cons (r x xinl'))
(λ xeqa : x = a, xeqa ▸ mem_cons x (b::l))
(λ xinl : x ∈ l, sum.inr (sum.inr xinl))))-/
theorem length_eq_of_qeq {a : A} {l₁ l₂ : list A} : l₁≈a|l₂ → length l₁ = succ (length l₂) :=
take q, qeq.rec_on q
(λ l, rfl)
(λ b l l' q r, by rewrite [*length_cons, r])
theorem qeq_of_mem {a : A} {l : list A} : a ∈ l → (Σl', l≈a|l') :=
list.rec_on l
(λ h : a ∈ nil, absurd h (not_mem_nil a))
(λ x xs r ainxxs, sum.rec_on (eq_or_mem_of_mem_cons ainxxs)
(λ aeqx : a = x,
have aux : Σ l, x::xs≈x|l, from
sigma.mk xs (qhead x xs),
by rewrite aeqx; exact aux)
(λ ainxs : a ∈ xs,
have Σl', xs ≈ a|l', from r ainxs,
obtain (l' : list A) (q : xs ≈ a|l'), from this,
have x::xs ≈ a | x::l', from qcons x q,
sigma.mk (x::l') this))
theorem qeq_split {a : A} {l l' : list A} : l'≈a|l → Σl₁ l₂, l = l₁++l₂ × l' = l₁++(a::l₂) :=
take q, qeq.rec_on q
(λ t,
have t = []++t × a::t = []++(a::t), from prod.mk rfl rfl,
sigma.mk [] (sigma.mk t this))
(λ b t t' q r,
obtain (l₁ l₂ : list A) (h : t = l₁++l₂ × t' = l₁++(a::l₂)), from r,
have b::t = (b::l₁)++l₂ × b::t' = (b::l₁)++(a::l₂),
begin
rewrite [prod.pr2 h, prod.pr1 h],
constructor, repeat reflexivity
end,
sigma.mk (b::l₁) (sigma.mk l₂ this))
/-theorem sub_of_mem_of_sub_of_qeq {a : A} {l : list A} {u v : list A} : a ∉ l → a::l ⊆ v → v≈a|u → l ⊆ u :=
λ (nainl : a ∉ l) (s : a::l ⊆ v) (q : v≈a|u) (x : A) (xinl : x ∈ l),
have x ∈ v, from s (sum.inr xinl),
have x ∈ a::u, from mem_cons_of_qeq q x this,
sum.rec_on (eq_or_mem_of_mem_cons this)
(suppose x = a, by substvars; contradiction)
(suppose x ∈ u, this)-/
end qeq
section firstn
variable {A : Type}
definition firstn : nat → list A → list A
| 0 l := []
| (n+1) [] := []
| (n+1) (a::l) := a :: firstn n l
lemma firstn_zero : ∀ (l : list A), firstn 0 l = [] :=
by intros; reflexivity
lemma firstn_nil : ∀ n, firstn n [] = ([] : list A)
| 0 := rfl
| (n+1) := rfl
lemma firstn_cons : ∀ n (a : A) (l : list A), firstn (succ n) (a::l) = a :: firstn n l :=
by intros; reflexivity
lemma firstn_all : ∀ (l : list A), firstn (length l) l = l
| [] := rfl
| (a::l) := begin unfold [length, firstn], rewrite firstn_all end
/-lemma firstn_all_of_ge : ∀ {n} {l : list A}, n ≥ length l → firstn n l = l
| 0 [] h := rfl
| 0 (a::l) h := absurd h (not_le_of_gt !succ_pos)
| (n+1) [] h := rfl
| (n+1) (a::l) h := begin unfold firstn, rewrite [firstn_all_of_ge (le_of_succ_le_succ h)] end-/
/-lemma firstn_firstn : ∀ (n m) (l : list A), firstn n (firstn m l) = firstn (min n m) l
| n 0 l := by rewrite [min_zero, firstn_zero, firstn_nil]
| 0 m l := by rewrite [zero_min]
| (succ n) (succ m) nil := by rewrite [*firstn_nil]
| (succ n) (succ m) (a::l) := by rewrite [*firstn_cons, firstn_firstn, min_succ_succ]-/
lemma length_firstn_le : ∀ (n) (l : list A), length (firstn n l) ≤ n
| 0 l := by rewrite [firstn_zero]
| (succ n) (a::l) := by rewrite [firstn_cons, length_cons, add_one]; apply succ_le_succ; apply length_firstn_le
| (succ n) [] := by rewrite [firstn_nil, length_nil]; apply zero_le
/-lemma length_firstn_eq : ∀ (n) (l : list A), length (firstn n l) = min n (length l)
| 0 l := by rewrite [firstn_zero, zero_min]
| (succ n) (a::l) := by rewrite [firstn_cons, *length_cons, *add_one, min_succ_succ, length_firstn_eq]
| (succ n) [] := by rewrite [firstn_nil]-/
end firstn
section count
variable {A : Type}
variable [decA : decidable_eq A]
include decA
definition count (a : A) : list A → nat
| [] := 0
| (x::xs) := if a = x then succ (count xs) else count xs
lemma count_nil (a : A) : count a [] = 0 :=
rfl
lemma count_cons (a b : A) (l : list A) : count a (b::l) = if a = b then succ (count a l) else count a l :=
rfl
lemma count_cons_eq (a : A) (l : list A) : count a (a::l) = succ (count a l) :=
if_pos rfl
lemma count_cons_of_ne {a b : A} (h : a ≠ b) (l : list A) : count a (b::l) = count a l :=
if_neg h
lemma count_cons_ge_count (a b : A) (l : list A) : count a (b::l) ≥ count a l :=
by_cases
(suppose a = b, begin subst b, rewrite count_cons_eq, apply le_succ end)
(suppose a ≠ b, begin rewrite (count_cons_of_ne this), apply le.refl end)
lemma count_singleton (a : A) : count a [a] = 1 :=
by rewrite count_cons_eq
lemma count_append (a : A) : ∀ l₁ l₂, count a (l₁++l₂) = count a l₁ + count a l₂
| [] l₂ := by rewrite [append_nil_left, count_nil, zero_add]
| (b::l₁) l₂ := by_cases
(suppose a = b, by rewrite [-this, append_cons, *count_cons_eq, succ_add, count_append])
(suppose a ≠ b, by rewrite [append_cons, *count_cons_of_ne this, count_append])
lemma count_concat (a : A) (l : list A) : count a (concat a l) = succ (count a l) :=
by rewrite [concat_eq_append, count_append, count_singleton]
lemma mem_of_count_gt_zero : ∀ {a : A} {l : list A}, count a l > 0 → a ∈ l
| a [] h := absurd h !lt.irrefl
| a (b::l) h := by_cases
(suppose a = b, begin subst b, apply mem_cons end)
(suppose a ≠ b,
have count a l > 0, by rewrite [count_cons_of_ne this at h]; exact h,
have a ∈ l, from mem_of_count_gt_zero this,
show a ∈ b::l, from mem_cons_of_mem _ this)
/-lemma count_gt_zero_of_mem : ∀ {a : A} {l : list A}, a ∈ l → count a l > 0
| a [] h := absurd h !not_mem_nil
| a (b::l) h := sum.rec_on h
(suppose a = b, begin subst b, rewrite count_cons_eq, apply zero_lt_succ end)
(suppose a ∈ l, calc
count a (b::l) ≥ count a l : count_cons_ge_count
... > 0 : count_gt_zero_of_mem this)-/
/-lemma count_eq_zero_of_not_mem {a : A} {l : list A} (h : a ∉ l) : count a l = 0 :=
match count a l with
| zero := suppose count a l = zero, this
| (succ n) := suppose count a l = succ n, absurd (mem_of_count_gt_zero (begin rewrite this, exact dec_trivial end)) h
end rfl-/
end count
end list
attribute list.has_decidable_eq [instance]
--attribute list.decidable_mem [instance]
namespace list
variables {A B C X : Type}
/- map -/
definition map (f : A → B) : list A → list B
| [] := []
| (a :: l) := f a :: map l
theorem map_nil (f : A → B) : map f [] = [] := idp
theorem map_cons (f : A → B) (a : A) (l : list A) : map f (a :: l) = f a :: map f l := idp
lemma map_concat (f : A → B) (a : A) : Πl, map f (concat a l) = concat (f a) (map f l)
| nil := rfl
| (b::l) := begin rewrite [concat_cons, +map_cons, concat_cons, map_concat] end
lemma map_append (f : A → B) : Π l₁ l₂, map f (l₁++l₂) = (map f l₁)++(map f l₂)
| nil := take l, rfl
| (a::l) := take l', begin rewrite [append_cons, *map_cons, append_cons, map_append] end
lemma map_reverse (f : A → B) : Πl, map f (reverse l) = reverse (map f l)
| nil := rfl
| (b::l) := begin rewrite [reverse_cons, +map_cons, reverse_cons, map_concat, map_reverse] end
lemma map_singleton (f : A → B) (a : A) : map f [a] = [f a] := rfl
theorem map_id : Π l : list A, map id l = l
| [] := rfl
| (x::xs) := begin rewrite [map_cons, map_id] end
theorem map_id' {f : A → A} (H : Πx, f x = x) : Π l : list A, map f l = l
| [] := rfl
| (x::xs) := begin rewrite [map_cons, H, map_id'] end
theorem map_map (g : B → C) (f : A → B) : Π l, map g (map f l) = map (g ∘ f) l
| [] := rfl
| (a :: l) :=
show (g ∘ f) a :: map g (map f l) = map (g ∘ f) (a :: l),
by rewrite (map_map l)
theorem length_map (f : A → B) : Π l : list A, length (map f l) = length l
| [] := by esimp
| (a :: l) :=
show length (map f l) + 1 = length l + 1,
by rewrite (length_map l)
theorem mem_map {A B : Type} (f : A → B) : Π {a l}, a ∈ l → f a ∈ map f l
| a [] i := absurd i !not_mem_nil
| a (x::xs) i := sum.rec_on (eq_or_mem_of_mem_cons i)
(suppose a = x, by rewrite [this, map_cons]; apply mem_cons)
(suppose a ∈ xs, sum.inr (mem_map this))
theorem exists_of_mem_map {A B : Type} {f : A → B} {b : B} :
Π{l}, b ∈ map f l → Σa, a ∈ l × f a = b
| [] H := empty.elim (down H)
| (c::l) H := sum.rec_on (iff.mp !mem_cons_iff H)
(suppose b = f c,
sigma.mk c (pair !mem_cons (inverse this)))
(suppose b ∈ map f l,
obtain a (Hl : a ∈ l) (Hr : f a = b), from exists_of_mem_map this,
sigma.mk a (pair (mem_cons_of_mem _ Hl) Hr))
theorem eq_of_map_const {A B : Type} {b₁ b₂ : B} : Π {l : list A}, b₁ ∈ map (const A b₂) l → b₁ = b₂
| [] h := absurd h !not_mem_nil
| (a::l) h :=
sum.rec_on (eq_or_mem_of_mem_cons h)
(suppose b₁ = b₂, this)
(suppose b₁ ∈ map (const A b₂) l, eq_of_map_const this)
definition map₂ (f : A → B → C) : list A → list B → list C
| [] _ := []
| _ [] := []
| (x::xs) (y::ys) := f x y :: map₂ xs ys
/- filter -/
definition filter (p : A → Type) [h : decidable_pred p] : list A → list A
| [] := []
| (a::l) := if p a then a :: filter l else filter l
theorem filter_nil (p : A → Type) [h : decidable_pred p] : filter p [] = [] := idp
theorem filter_cons_of_pos {p : A → Type} [h : decidable_pred p] {a : A} : Π l, p a → filter p (a::l) = a :: filter p l :=
λ l pa, if_pos pa
theorem filter_cons_of_neg {p : A → Type} [h : decidable_pred p] {a : A} : Π l, ¬ p a → filter p (a::l) = filter p l :=
λ l pa, if_neg pa
/-
theorem of_mem_filter {p : A → Type} [h : decidable_pred p] {a : A} : Π {l}, a ∈ filter p l → p a
| [] ain := absurd ain !not_mem_nil
| (b::l) ain := by_cases
(assume pb : p b,
have a ∈ b :: filter p l, by rewrite [filter_cons_of_pos _ pb at ain]; exact ain,
sum.rec_on (eq_or_mem_of_mem_cons this)
(suppose a = b, by rewrite [-this at pb]; exact pb)
(suppose a ∈ filter p l, of_mem_filter this))
(suppose ¬ p b, by rewrite [filter_cons_of_neg _ this at ain]; exact (of_mem_filter ain))
theorem mem_of_mem_filter {p : A → Type} [h : decidable_pred p] {a : A} : Π {l}, a ∈ filter p l → a ∈ l
| [] ain := absurd ain !not_mem_nil
| (b::l) ain := by_cases
(λ pb : p b,
have a ∈ b :: filter p l, by rewrite [filter_cons_of_pos _ pb at ain]; exact ain,
sum.rec_on (eq_or_mem_of_mem_cons this)
(suppose a = b, by rewrite this; exact !mem_cons)
(suppose a ∈ filter p l, mem_cons_of_mem _ (mem_of_mem_filter this)))
(suppose ¬ p b, by rewrite [filter_cons_of_neg _ this at ain]; exact (mem_cons_of_mem _ (mem_of_mem_filter ain)))
theorem mem_filter_of_mem {p : A → Type} [h : decidable_pred p] {a : A} : Π {l}, a ∈ l → p a → a ∈ filter p l
| [] ain pa := absurd ain !not_mem_nil
| (b::l) ain pa := by_cases
(λ pb : p b, sum.rec_on (eq_or_mem_of_mem_cons ain)
(λ aeqb : a = b, by rewrite [filter_cons_of_pos _ pb, aeqb]; exact !mem_cons)
(λ ainl : a ∈ l, by rewrite [filter_cons_of_pos _ pb]; exact (mem_cons_of_mem _ (mem_filter_of_mem ainl pa))))
(λ npb : ¬ p b, sum.rec_on (eq_or_mem_of_mem_cons ain)
(λ aeqb : a = b, absurd (eq.rec_on aeqb pa) npb)
(λ ainl : a ∈ l, by rewrite [filter_cons_of_neg _ npb]; exact (mem_filter_of_mem ainl pa)))
theorem filter_sub {p : A → Type} [h : decidable_pred p] (l : list A) : filter p l ⊆ l :=
λ a ain, mem_of_mem_filter ain
theorem filter_append {p : A → Type} [h : decidable_pred p] : Π (l₁ l₂ : list A), filter p (l₁++l₂) = filter p l₁ ++ filter p l₂
| [] l₂ := rfl
| (a::l₁) l₂ := by_cases
(suppose p a, by rewrite [append_cons, *filter_cons_of_pos _ this, filter_append])
(suppose ¬ p a, by rewrite [append_cons, *filter_cons_of_neg _ this, filter_append])
-/
/- foldl & foldr -/
definition foldl (f : A → B → A) : A → list B → A
| a [] := a
| a (b :: l) := foldl (f a b) l
theorem foldl_nil (f : A → B → A) (a : A) : foldl f a [] = a := idp
theorem foldl_cons (f : A → B → A) (a : A) (b : B) (l : list B) : foldl f a (b::l) = foldl f (f a b) l := idp
definition foldr (f : A → B → B) : B → list A → B
| b [] := b
| b (a :: l) := f a (foldr b l)
theorem foldr_nil (f : A → B → B) (b : B) : foldr f b [] = b := idp
theorem foldr_cons (f : A → B → B) (b : B) (a : A) (l : list A) : foldr f b (a::l) = f a (foldr f b l) := idp
section foldl_eq_foldr
-- foldl and foldr coincide when f is commutative and associative
parameters {α : Type} {f : α → α → α}
hypothesis (Hcomm : Π a b, f a b = f b a)
hypothesis (Hassoc : Π a b c, f (f a b) c = f a (f b c))
include Hcomm Hassoc
theorem foldl_eq_of_comm_of_assoc : Π a b l, foldl f a (b::l) = f b (foldl f a l)
| a b nil := Hcomm a b
| a b (c::l) :=
begin
change foldl f (f (f a b) c) l = f b (foldl f (f a c) l),
rewrite -foldl_eq_of_comm_of_assoc,
change foldl f (f (f a b) c) l = foldl f (f (f a c) b) l,
have H₁ : f (f a b) c = f (f a c) b, by rewrite [Hassoc, Hassoc, Hcomm b c],
rewrite H₁
end
theorem foldl_eq_foldr : Π a l, foldl f a l = foldr f a l
| a nil := rfl
| a (b :: l) :=
begin
rewrite foldl_eq_of_comm_of_assoc,
esimp,
change f b (foldl f a l) = f b (foldr f a l),
rewrite foldl_eq_foldr
end
end foldl_eq_foldr
theorem foldl_append (f : B → A → B) : Π (b : B) (l₁ l₂ : list A), foldl f b (l₁++l₂) = foldl f (foldl f b l₁) l₂
| b [] l₂ := rfl
| b (a::l₁) l₂ := by rewrite [append_cons, *foldl_cons, foldl_append]
theorem foldr_append (f : A → B → B) : Π (b : B) (l₁ l₂ : list A), foldr f b (l₁++l₂) = foldr f (foldr f b l₂) l₁
| b [] l₂ := rfl
| b (a::l₁) l₂ := by rewrite [append_cons, *foldr_cons, foldr_append]
definition foldl_homotopy {f g : A → B → A} (h : f ~2 g) (a : A) : foldl f a ~ foldl g a :=
begin
intro bs, revert a, induction bs with b bs p: intro a, reflexivity, esimp [foldl],
exact p (f a b) ⬝ ap010 (foldl g) (h a b) bs
end
definition cons_eq_cons {x x' : X} {l l' : list X} (p : x::l = x'::l') : x = x' × l = l' :=
begin
refine lift.down (list.no_confusion p _), intro q r, split, exact q, exact r
end
definition concat_neq_nil (x : X) (l : list X) : concat x l ≠ nil :=
begin
intro p, cases l: cases p,
end
definition concat_eq_singleton {x x' : X} {l : list X} (p : concat x l = [x']) :
x = x' × l = [] :=
begin
cases l with x₂ l,
{ cases cons_eq_cons p with q r, subst q, split: reflexivity },
{ exfalso, esimp [concat] at p, apply concat_neq_nil x l, revert p, generalize (concat x l),
intro l' p, cases cons_eq_cons p with q r, exact r }
end
definition foldr_concat (f : A → B → B) (b : B) (a : A) (l : list A) :
foldr f b (concat a l) = foldr f (f a b) l :=
begin
induction l with a' l p, reflexivity, rewrite [concat_cons, foldr_cons, p]
end
definition iterated_prod (X : Type.{u}) (n : ℕ) : Type.{u} :=
iterate (prod X) n (lift unit)
definition is_trunc_iterated_prod {k : ℕ₋₂} {X : Type} {n : ℕ} (H : is_trunc k X) :
is_trunc k (iterated_prod X n) :=
begin
induction n with n IH,
{ apply is_trunc_of_is_contr, apply is_trunc_lift },
{ exact @is_trunc_prod _ _ _ H IH }
end
definition list_of_iterated_prod {n : ℕ} (x : iterated_prod X n) : list X :=
begin
induction n with n IH,
{ exact [] },
{ exact x.1::IH x.2 }
end
definition list_of_iterated_prod_succ {n : ℕ} (x : X) (xs : iterated_prod X n) :
@list_of_iterated_prod X (succ n) (x, xs) = x::list_of_iterated_prod xs :=
by reflexivity
definition iterated_prod_of_list (l : list X) : Σn, iterated_prod X n :=
begin
induction l with x l IH,
{ exact ⟨0, up ⋆⟩ },
{ exact ⟨succ IH.1, (x, IH.2)⟩ }
end
definition iterated_prod_of_list_cons (x : X) (l : list X) :
iterated_prod_of_list (x::l) =
⟨succ (iterated_prod_of_list l).1, (x, (iterated_prod_of_list l).2)⟩ :=
by reflexivity
protected definition sigma_char [constructor] (X : Type) : list X ≃ Σ(n : ℕ), iterated_prod X n :=
begin
apply equiv.MK iterated_prod_of_list (λv, list_of_iterated_prod v.2),
{ intro x, induction x with n x, esimp, induction n with n IH,
{ induction x with x, induction x, reflexivity },
{ revert x, change Π(x : X × iterated_prod X n), _, intro xs, cases xs with x xs,
rewrite [list_of_iterated_prod_succ, iterated_prod_of_list_cons],
apply sigma_eq (ap succ (IH xs)..1),
apply pathover_ap, refine prod_pathover _ _ _ _ (IH xs)..2,
apply pathover_of_eq, reflexivity }},
{ intro l, induction l with x l IH,
{ reflexivity },
{ exact ap011 cons idp IH }}
end
local attribute [instance] is_trunc_iterated_prod
definition is_trunc_list [instance] {n : ℕ₋₂} {X : Type} (H : is_trunc (n.+2) X) :
is_trunc (n.+2) (list X) :=
begin
assert H : is_trunc (n.+2) (Σ(k : ℕ), iterated_prod X k),
{ apply is_trunc_sigma, refine is_trunc_succ_succ_of_is_set _ _ _,
intro, exact is_trunc_iterated_prod H },
apply is_trunc_equiv_closed_rev _ (list.sigma_char X) _,
end
end list
|
8fb5f66034a87b56f961cf7e449eb21c4facde28 | aa2345b30d710f7e75f13157a35845ee6d48c017 | /logic/schroeder_bernstein.lean | 52a4f5a0c00c431d8e0e96c85454b4f2ff43673a | [
"Apache-2.0"
] | permissive | CohenCyril/mathlib | 5241b20a3fd0ac0133e48e618a5fb7761ca7dcbe | a12d5a192f5923016752f638d19fc1a51610f163 | refs/heads/master | 1,586,031,957,957 | 1,541,432,824,000 | 1,541,432,824,000 | 156,246,337 | 0 | 0 | Apache-2.0 | 1,541,434,514,000 | 1,541,434,513,000 | null | UTF-8 | Lean | false | false | 5,449 | 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
The Schröder-Bernstein theorem, and well ordering of cardinals.
-/
import order.fixed_points data.set.lattice logic.function logic.embedding order.zorn
open lattice set classical
local attribute [instance] prop_decidable
universes u v
namespace function
namespace embedding
section antisymm
variables {α : Type u} {β : Type v}
theorem schroeder_bernstein {f : α → β} {g : β → α}
(hf : injective f) (hg : injective g) : ∃h:α→β, bijective h :=
let s : set α := lfp $ λs, - (g '' - (f '' s)) in
have hs : s = - (g '' - (f '' s)),
from lfp_eq $ assume s t h,
compl_subset_compl.mpr $ image_subset _ $
compl_subset_compl.mpr $ image_subset _ h,
have hns : - s = g '' - (f '' s),
from lattice.neg_eq_neg_of_eq $ by simp [hs.symm],
let g' := λa, @inv_fun β ⟨f a⟩ α g a in
have g'g : g' ∘ g = id,
from funext $ assume b, @left_inverse_inv_fun _ ⟨f (g b)⟩ _ _ hg b,
have hg'ns : g' '' (-s) = - (f '' s),
by rw [hns, ←image_comp, g'g, image_id],
let h := λa, if a ∈ s then f a else g' a in
have h '' univ = univ,
from calc h '' univ = h '' s ∪ h '' (- s) : by rw [←image_union, union_compl_self]
... = f '' s ∪ g' '' (-s) :
congr (congr_arg (∪)
(image_congr $ by simp [h, if_pos] {contextual := tt}))
(image_congr $ by simp [h, if_neg] {contextual := tt})
... = univ : by rw [hg'ns, union_compl_self],
have surjective h,
from assume b,
have b ∈ h '' univ, by rw [this]; trivial,
let ⟨a, _, eq⟩ := this in
⟨a, eq⟩,
have split : ∀x∈s, ∀y∉s, h x = h y → false,
from assume x hx y hy eq,
have y ∈ g '' - (f '' s), by rwa [←hns],
let ⟨y', hy', eq_y'⟩ := this in
have f x = y',
from calc f x = g' y : by simp [h, hx, hy, if_pos, if_neg] at eq; assumption
... = (g' ∘ g) y' : by simp [(∘), eq_y']
... = _ : by simp [g'g],
have y' ∈ f '' s, from this ▸ mem_image_of_mem _ hx,
hy' this,
have injective h,
from assume x y eq,
by_cases
(assume hx : x ∈ s, by_cases
(assume hy : y ∈ s, by simp [h, hx, hy, if_pos, if_neg] at eq; exact hf eq)
(assume hy : y ∉ s, (split x hx y hy eq).elim))
(assume hx : x ∉ s, by_cases
(assume hy : y ∈ s, (split y hy x hx eq.symm).elim)
(assume hy : y ∉ s,
have x ∈ g '' - (f '' s), by rwa [←hns],
let ⟨x', hx', eqx⟩ := this in
have y ∈ g '' - (f '' s), by rwa [←hns],
let ⟨y', hy', eqy⟩ := this in
have g' x = g' y, by simp [h, hx, hy, if_pos, if_neg] at eq; assumption,
have (g' ∘ g) x' = (g' ∘ g) y', by simp [(∘), eqx, eqy, this],
have x' = y', by rwa [g'g] at this,
calc x = g x' : eqx.symm
... = g y' : by rw [this]
... = y : eqy)),
⟨h, ‹injective h›, ‹surjective h›⟩
theorem antisymm : (α ↪ β) → (β ↪ α) → nonempty (α ≃ β)
| ⟨e₁, h₁⟩ ⟨e₂, h₂⟩ :=
let ⟨f, hf⟩ := schroeder_bernstein h₁ h₂ in
⟨equiv.of_bijective hf⟩
end antisymm
section wo
parameters {ι : Type u} {β : ι → Type v}
private def sets := {s : set (∀ i, β i) //
∀ (x ∈ s) (y ∈ s) i, (x : ∀ i, β i) i = y i → x = y}
private def sets.partial_order : partial_order sets :=
{ le := λ s t, s.1 ⊆ t.1,
le_refl := λ s, subset.refl _,
le_trans := λ s t u, subset.trans,
le_antisymm := λ s t h₁ h₂, subtype.eq (subset.antisymm h₁ h₂) }
local attribute [instance] sets.partial_order
theorem injective_min (I : nonempty ι) : ∃ i, nonempty (∀ j, β i ↪ β j) :=
let ⟨⟨s, hs⟩, ms⟩ := show ∃s:sets, ∀a, s ≤ a → a = s, from
zorn.zorn_partial_order $ λ c hc,
⟨⟨⋃₀ (subtype.val '' c),
λ x ⟨_, ⟨⟨s, hs⟩, sc, rfl⟩, xs⟩ y ⟨_, ⟨⟨t, ht⟩, tc, rfl⟩, yt⟩,
(hc.total sc tc).elim (λ h, ht _ (h xs) _ yt) (λ h, hs _ xs _ (h yt))⟩,
λ ⟨s, hs⟩ sc x h, ⟨s, ⟨⟨s, hs⟩, sc, rfl⟩, h⟩⟩ in
let ⟨i, e⟩ := show ∃ i, ∀ y, ∃ x ∈ s, (x : ∀ i, β i) i = y, from
classical.by_contradiction $ λ h,
have h : ∀ i, ∃ y, ∀ x ∈ s, (x : ∀ i, β i) i ≠ y,
by simpa [classical.not_forall] using h,
let ⟨f, hf⟩ := axiom_of_choice h in
have f ∈ (⟨s, hs⟩:sets).1, from
let s' : sets := ⟨insert f s, λ x hx y hy, begin
cases hx; cases hy, {simp [hx, hy]},
{ subst x, exact λ i e, (hf i y hy e.symm).elim },
{ subst y, exact λ i e, (hf i x hx e).elim },
{ exact hs x hx y hy }
end⟩ in ms s' (subset_insert f s) ▸ mem_insert _ _,
let ⟨i⟩ := I in hf i f this rfl in
let ⟨f, hf⟩ := axiom_of_choice e in
⟨i, ⟨λ j, ⟨λ a, f a j, λ a b e',
let ⟨sa, ea⟩ := hf a, ⟨sb, eb⟩ := hf b in
by rw [← ea, ← eb, hs _ sa _ sb _ e']⟩⟩⟩
end wo
theorem total {α : Type u} {β : Type v} : nonempty (α ↪ β) ∨ nonempty (β ↪ α) :=
match @injective_min bool (λ b, cond b (ulift α) (ulift.{(max u v) v} β)) ⟨tt⟩ with
| ⟨tt, ⟨h⟩⟩ := let ⟨f, hf⟩ := h ff in or.inl ⟨embedding.congr equiv.ulift equiv.ulift ⟨f, hf⟩⟩
| ⟨ff, ⟨h⟩⟩ := let ⟨f, hf⟩ := h tt in or.inr ⟨embedding.congr equiv.ulift equiv.ulift ⟨f, hf⟩⟩
end
end embedding
end function
|
00ab283bb8c387f1d26346ae3d9ddea99ef9c786 | 5d166a16ae129621cb54ca9dde86c275d7d2b483 | /library/init/category/functor.lean | 52702aa1342340556adc86dc35536023d8401ced | [
"Apache-2.0"
] | permissive | jcarlson23/lean | b00098763291397e0ac76b37a2dd96bc013bd247 | 8de88701247f54d325edd46c0eed57aeacb64baf | refs/heads/master | 1,611,571,813,719 | 1,497,020,963,000 | 1,497,021,515,000 | 93,882,536 | 1 | 0 | null | 1,497,029,896,000 | 1,497,029,896,000 | null | UTF-8 | Lean | false | false | 1,062 | 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
-/
prelude
import init.core init.function init.meta.name
open function
universes u v
section
set_option auto_param.check_exists false
class has_map (f : Type u → Type v) : Type (max u+1 v) :=
(map : Π {α β : Type u}, (α → β) → f α → f β)
(map_const : Π {α β : Type u}, α → f β → f α := λ α β, map ∘ const β)
infixr ` <$> `:100 := has_map.map
infixr ` <$ `:100 := has_map.map_const
infixr ` $> `:100 := λ α a b, b <$ a
class functor (f : Type u → Type v) extends has_map f : Type (max u+1 v) :=
(map_const_eq : ∀ {α β : Type u}, @map_const α β = map ∘ const β . control_laws_tac)
-- `functor` is indeed a categorical functor
(id_map : Π {α : Type u} (x : f α), id <$> x = x)
(map_comp : Π {α β γ : Type u} (g : α → β) (h : β → γ) (x : f α), (h ∘ g) <$> x = h <$> g <$> x)
end
|
ed24f901b840f47373e16aef8864086c9a044678 | ae1e94c332e17c7dc7051ce976d5a9eebe7ab8a5 | /src/Lean/Meta/Closure.lean | b80e5ddfd0633025aa3d5ae8ac6861bbe9503e58 | [
"Apache-2.0"
] | permissive | dupuisf/lean4 | d082d13b01243e1de29ae680eefb476961221eef | 6a39c65bd28eb0e28c3870188f348c8914502718 | refs/heads/master | 1,676,948,755,391 | 1,610,665,114,000 | 1,610,665,114,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 14,428 | 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 Std.ShareCommon
import Lean.MetavarContext
import Lean.Environment
import Lean.Util.FoldConsts
import Lean.Meta.Basic
import Lean.Meta.Check
/-
This module provides functions for "closing" open terms and
creating auxiliary definitions. Here, we say a term is "open" if
it contains free/meta-variables.
The "closure" is performed by lambda abstracting the
free/meta-variables. Recall that in dependent type theory
lambda abstracting a let-variable may produce type incorrect terms.
For example, given the context
```lean
(n : Nat := 20)
(x : Vector α n)
(y : Vector α 20)
```
the term `x = y` is correct. However, its closure using lambda abstractions
is not.
```lean
fun (n : Nat) (x : Vector α n) (y : Vector α 20) => x = y
```
A previous version of this module would address this issue by
always use let-expressions to abstract let-vars. In the example above,
it would produce
```lean
let n : Nat := 20; fun (x : Vector α n) (y : Vector α 20) => x = y
```
This approach produces correct result, but produces unsatisfactory
results when we want to create auxiliary definitions.
For example, consider the context
```lean
(x : Nat)
(y : Nat := fact x)
```
and the term `h (g y)`, now suppose we want to create an auxiliary definition for `y`.
The previous version of this module would compute the auxiliary definition
```lean
def aux := fun (x : Nat) => let y : Nat := fact x; h (g y)
```
and would return the term `aux x` as a substitute for `h (g y)`.
This is correct, but we will re-evaluate `fact x` whenever we use `aux`.
In this module, we produce
```lean
def aux := fun (y : Nat) => h (g y)
```
Note that in this particular case, it is safe to lambda abstract the let-varible `y`.
This module uses the following approach to decide whether it is safe or not to lambda
abstract a let-variable.
1) We enable zeta-expansion tracking in `MetaM`. That is, whenever we perform type checking
if a let-variable needs to zeta expanded, we store it in the set `zetaFVarIds`.
We say a let-variable is zeta expanded when we replace it with its value.
2) We use the `MetaM` type checker `check` to type check the expression we want to close,
and the type of the binders.
3) If a let-variable is not in `zetaFVarIds`, we lambda abstract it.
Remark: We still use let-expressions for let-variables in `zetaFVarIds`, but we move the
`let` inside the lambdas. The idea is to make sure the auxiliary definition does not have
an interleaving of `lambda` and `let` expressions. Thus, if the let-variable occurs in
the type of one of the lambdas, we simply zeta-expand it there.
As a final example consider the context
```lean
(x_1 : Nat)
(x_2 : Nat)
(x_3 : Nat)
(x : Nat := fact (10 + x_1 + x_2 + x_3))
(ty : Type := Nat → Nat)
(f : ty := fun x => x)
(n : Nat := 20)
(z : f 10)
```
and we use this module to compute an auxiliary definition for the term
```lean
(let y : { v : Nat // v = n } := ⟨20, rfl⟩; y.1 + n + f x, z + 10)
```
we obtain
```lean
def aux (x : Nat) (f : Nat → Nat) (z : Nat) : Nat×Nat :=
let n : Nat := 20;
(let y : {v // v=n} := {val := 20, property := ex._proof_1}; y.val+n+f x, z+10)
```
BTW, this module also provides the `zeta : Bool` flag. When set to true, it
expands all let-variables occurring in the target expression.
-/
namespace Lean.Meta
namespace Closure
structure ToProcessElement where
fvarId : FVarId
newFVarId : FVarId
deriving Inhabited
structure Context where
zeta : Bool
structure State where
visitedLevel : LevelMap Level := {}
visitedExpr : ExprStructMap Expr := {}
levelParams : Array Name := #[]
nextLevelIdx : Nat := 1
levelArgs : Array Level := #[]
newLocalDecls : Array LocalDecl := #[]
newLocalDeclsForMVars : Array LocalDecl := #[]
newLetDecls : Array LocalDecl := #[]
nextExprIdx : Nat := 1
exprMVarArgs : Array Expr := #[]
exprFVarArgs : Array Expr := #[]
toProcess : Array ToProcessElement := #[]
abbrev ClosureM := ReaderT Context $ StateRefT State MetaM
@[inline] def visitLevel (f : Level → ClosureM Level) (u : Level) : ClosureM Level := do
if !u.hasMVar && !u.hasParam then
pure u
else
let s ← get
match s.visitedLevel.find? u with
| some v => pure v
| none => do
let v ← f u
modify fun s => { s with visitedLevel := s.visitedLevel.insert u v }
pure v
@[inline] def visitExpr (f : Expr → ClosureM Expr) (e : Expr) : ClosureM Expr := do
if !e.hasLevelParam && !e.hasFVar && !e.hasMVar then
pure e
else
let s ← get
match s.visitedExpr.find? e with
| some r => pure r
| none =>
let r ← f e
modify fun s => { s with visitedExpr := s.visitedExpr.insert e r }
pure r
def mkNewLevelParam (u : Level) : ClosureM Level := do
let s ← get
let p := (`u).appendIndexAfter s.nextLevelIdx
modify fun s => { s with levelParams := s.levelParams.push p, nextLevelIdx := s.nextLevelIdx + 1, levelArgs := s.levelArgs.push u }
pure $ mkLevelParam p
partial def collectLevelAux : Level → ClosureM Level
| u@(Level.succ v _) => return u.updateSucc! (← visitLevel collectLevelAux v)
| u@(Level.max v w _) => return u.updateMax! (← visitLevel collectLevelAux v) (← visitLevel collectLevelAux w)
| u@(Level.imax v w _) => return u.updateIMax! (← visitLevel collectLevelAux v) (← visitLevel collectLevelAux w)
| u@(Level.mvar mvarId _) => mkNewLevelParam u
| u@(Level.param _ _) => mkNewLevelParam u
| u@(Level.zero _) => pure u
def collectLevel (u : Level) : ClosureM Level := do
-- u ← instantiateLevelMVars u
visitLevel collectLevelAux u
def preprocess (e : Expr) : ClosureM Expr := do
let e ← instantiateMVars e
let ctx ← read
-- If we are not zeta-expanding let-decls, then we use `check` to find
-- which let-decls are dependent. We say a let-decl is dependent if its lambda abstraction is type incorrect.
if !ctx.zeta then
check e
pure e
/--
Remark: This method does not guarantee unique user names.
The correctness of the procedure does not rely on unique user names.
Recall that the pretty printer takes care of unintended collisions. -/
def mkNextUserName : ClosureM Name := do
let s ← get
let n := (`_x).appendIndexAfter s.nextExprIdx
modify fun s => { s with nextExprIdx := s.nextExprIdx + 1 }
pure n
def pushToProcess (elem : ToProcessElement) : ClosureM Unit :=
modify fun s => { s with toProcess := s.toProcess.push elem }
partial def collectExprAux (e : Expr) : ClosureM Expr := do
let collect (e : Expr) := visitExpr collectExprAux e
match e with
| Expr.proj _ _ s _ => return e.updateProj! (← collect s)
| Expr.forallE _ d b _ => return e.updateForallE! (← collect d) (← collect b)
| Expr.lam _ d b _ => return e.updateLambdaE! (← collect d) (← collect b)
| Expr.letE _ t v b _ => return e.updateLet! (← collect t) (← collect v) (← collect b)
| Expr.app f a _ => return e.updateApp! (← collect f) (← collect a)
| Expr.mdata _ b _ => return e.updateMData! (← collect b)
| Expr.sort u _ => return e.updateSort! (← collectLevel u)
| Expr.const c us _ => return e.updateConst! (← us.mapM collectLevel)
| Expr.mvar mvarId _ =>
let mvarDecl ← getMVarDecl mvarId
let type ← preprocess mvarDecl.type
let type ← collect type
let newFVarId ← mkFreshFVarId
let userName ← mkNextUserName
modify fun s => { s with
newLocalDeclsForMVars := s.newLocalDeclsForMVars.push $ LocalDecl.cdecl arbitrary newFVarId userName type BinderInfo.default,
exprMVarArgs := s.exprMVarArgs.push e
}
return mkFVar newFVarId
| Expr.fvar fvarId _ =>
match (← read).zeta, (← getLocalDecl fvarId).value? with
| true, some value => collect (← preprocess value)
| _, _ =>
let newFVarId ← mkFreshFVarId
pushToProcess ⟨fvarId, newFVarId⟩
return mkFVar newFVarId
| e => pure e
def collectExpr (e : Expr) : ClosureM Expr := do
let e ← preprocess e
visitExpr collectExprAux e
partial def pickNextToProcessAux (lctx : LocalContext) (i : Nat) (toProcess : Array ToProcessElement) (elem : ToProcessElement)
: ToProcessElement × Array ToProcessElement :=
if h : i < toProcess.size then
let elem' := toProcess.get ⟨i, h⟩
if (lctx.get! elem.fvarId).index < (lctx.get! elem'.fvarId).index then
pickNextToProcessAux lctx (i+1) (toProcess.set ⟨i, h⟩ elem) elem'
else
pickNextToProcessAux lctx (i+1) toProcess elem
else
(elem, toProcess)
def pickNextToProcess? : ClosureM (Option ToProcessElement) := do
let lctx ← getLCtx
let s ← get
if s.toProcess.isEmpty then
pure none
else
modifyGet fun s =>
let elem := s.toProcess.back
let toProcess := s.toProcess.pop
let (elem, toProcess) := pickNextToProcessAux lctx 0 toProcess elem
(some elem, { s with toProcess := toProcess })
def pushFVarArg (e : Expr) : ClosureM Unit :=
modify fun s => { s with exprFVarArgs := s.exprFVarArgs.push e }
def pushLocalDecl (newFVarId : FVarId) (userName : Name) (type : Expr) (bi := BinderInfo.default) : ClosureM Unit := do
let type ← collectExpr type
modify fun s => { s with newLocalDecls := s.newLocalDecls.push <| LocalDecl.cdecl arbitrary newFVarId userName type bi }
partial def process : ClosureM Unit := do
match (← pickNextToProcess?) with
| none => pure ()
| some ⟨fvarId, newFVarId⟩ =>
let localDecl ← getLocalDecl fvarId
match localDecl with
| LocalDecl.cdecl _ _ userName type bi =>
pushLocalDecl newFVarId userName type bi
pushFVarArg (mkFVar fvarId)
process
| LocalDecl.ldecl _ _ userName type val _ =>
let zetaFVarIds ← getZetaFVarIds
if !zetaFVarIds.contains fvarId then
/- Non-dependent let-decl
Recall that if `fvarId` is in `zetaFVarIds`, then we zeta-expanded it
during type checking (see `check` at `collectExpr`).
Our type checker may zeta-expand declarations that are not needed, but this
check is conservative, and seems to work well in practice. -/
pushLocalDecl newFVarId userName type
pushFVarArg (mkFVar fvarId)
process
else
/- Dependent let-decl -/
let type ← collectExpr type
let val ← collectExpr val
modify fun s => { s with newLetDecls := s.newLetDecls.push <| LocalDecl.ldecl arbitrary newFVarId userName type val false }
/- We don't want to interleave let and lambda declarations in our closure. So, we expand any occurrences of newFVarId
at `newLocalDecls` -/
modify fun s => { s with newLocalDecls := s.newLocalDecls.map (replaceFVarIdAtLocalDecl newFVarId val) }
process
@[inline] def mkBinding (isLambda : Bool) (decls : Array LocalDecl) (b : Expr) : Expr :=
let xs := decls.map LocalDecl.toExpr
let b := b.abstract xs
decls.size.foldRev (init := b) fun i b =>
let decl := decls[i]
match decl with
| LocalDecl.cdecl _ _ n ty bi =>
let ty := ty.abstractRange i xs
if isLambda then
Lean.mkLambda n bi ty b
else
Lean.mkForall n bi ty b
| LocalDecl.ldecl _ _ n ty val nonDep =>
if b.hasLooseBVar 0 then
let ty := ty.abstractRange i xs
let val := val.abstractRange i xs
mkLet n ty val b nonDep
else
b.lowerLooseBVars 1 1
def mkLambda (decls : Array LocalDecl) (b : Expr) : Expr :=
mkBinding true decls b
def mkForall (decls : Array LocalDecl) (b : Expr) : Expr :=
mkBinding false decls b
structure MkValueTypeClosureResult where
levelParams : Array Name
type : Expr
value : Expr
levelArgs : Array Level
exprArgs : Array Expr
def mkValueTypeClosureAux (type : Expr) (value : Expr) : ClosureM (Expr × Expr) := do
resetZetaFVarIds
withTrackingZeta do
let type ← collectExpr type
let value ← collectExpr value
process
pure (type, value)
def mkValueTypeClosure (type : Expr) (value : Expr) (zeta : Bool) : MetaM MkValueTypeClosureResult := do
let ((type, value), s) ← ((mkValueTypeClosureAux type value).run { zeta := zeta }).run {}
let newLocalDecls := s.newLocalDecls.reverse ++ s.newLocalDeclsForMVars
let newLetDecls := s.newLetDecls.reverse
let type := mkForall newLocalDecls (mkForall newLetDecls type)
let value := mkLambda newLocalDecls (mkLambda newLetDecls value)
pure {
type := type,
value := value,
levelParams := s.levelParams,
levelArgs := s.levelArgs,
exprArgs := s.exprFVarArgs.reverse ++ s.exprMVarArgs
}
end Closure
/--
Create an auxiliary definition with the given name, type and value.
The parameters `type` and `value` may contain free and meta variables.
A "closure" is computed, and a term of the form `name.{u_1 ... u_n} t_1 ... t_m` is
returned where `u_i`s are universe parameters and metavariables `type` and `value` depend on,
and `t_j`s are free and meta variables `type` and `value` depend on. -/
def mkAuxDefinition (name : Name) (type : Expr) (value : Expr) (zeta : Bool := false) (compile : Bool := true) : MetaM Expr := do
trace[Meta.debug]! "{name} : {type} := {value}"
let result ← Closure.mkValueTypeClosure type value zeta
let env ← getEnv
let decl := Declaration.defnDecl {
name := name,
lparams := result.levelParams.toList,
type := result.type,
value := result.value,
hints := ReducibilityHints.regular (getMaxHeight env result.value + 1),
safety := if env.hasUnsafe result.type || env.hasUnsafe result.value then DefinitionSafety.unsafe else DefinitionSafety.safe
}
trace[Meta.debug]! "{name} : {result.type} := {result.value}"
addDecl decl
if compile then
compileDecl decl
pure $ mkAppN (mkConst name result.levelArgs.toList) result.exprArgs
/-- Similar to `mkAuxDefinition`, but infers the type of `value`. -/
def mkAuxDefinitionFor (name : Name) (value : Expr) : MetaM Expr := do
let type ← inferType value
let type := type.headBeta
mkAuxDefinition name type value
end Lean.Meta
|
5127df1182c3595afa684185a8d9fd82dbefb7da | b7f22e51856f4989b970961f794f1c435f9b8f78 | /tests/lean/768.lean | dcea7d200f683417b213d4cc018ee06cdadd7f6e | [
"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 | 245 | lean | import data.set data.finset
open set finset
variables (A : Type) [deceqA : decidable_eq A]
include deceqA
variables s t : finset A
set_option pp.coercions true
set_option pp.notation false
set_option pp.full_names true
check (s ∪ t : set A)
|
14815b1a2723e6d1a254d527fb397243879ba893 | 8cae430f0a71442d02dbb1cbb14073b31048e4b0 | /src/topology/algebra/module/basic.lean | f7d3e1befccefa1edc188e7c9caf74a12af15c21 | [
"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 | 95,234 | lean | /-
Copyright (c) 2019 Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jan-David Salchow, Sébastien Gouëzel, Jean Lo, Yury Kudryashov, Frédéric Dupuis,
Heather Macbeth
-/
import topology.algebra.ring.basic
import topology.algebra.mul_action
import topology.algebra.uniform_group
import topology.continuous_function.basic
import topology.uniform_space.uniform_embedding
import algebra.algebra.basic
import linear_algebra.projection
import linear_algebra.pi
/-!
# Theory of topological modules and continuous linear maps.
> THIS FILE IS SYNCHRONIZED WITH MATHLIB4.
> Any changes to this file require a corresponding PR to mathlib4.
We use the class `has_continuous_smul` for topological (semi) modules and topological vector spaces.
In this file we define continuous (semi-)linear maps, as semilinear maps between topological
modules which are continuous. The set of continuous semilinear maps between the topological
`R₁`-module `M` and `R₂`-module `M₂` with respect to the `ring_hom` `σ` is denoted by `M →SL[σ] M₂`.
Plain linear maps are denoted by `M →L[R] M₂` and star-linear maps by `M →L⋆[R] M₂`.
The corresponding notation for equivalences is `M ≃SL[σ] M₂`, `M ≃L[R] M₂` and `M ≃L⋆[R] M₂`.
-/
open filter linear_map (ker range)
open_locale topology big_operators filter
universes u v w u'
section
variables {R : Type*} {M : Type*}
[ring R] [topological_space R]
[topological_space M] [add_comm_group M]
[module R M]
lemma has_continuous_smul.of_nhds_zero [topological_ring R] [topological_add_group M]
(hmul : tendsto (λ p : R × M, p.1 • p.2) (𝓝 0 ×ᶠ (𝓝 0)) (𝓝 0))
(hmulleft : ∀ m : M, tendsto (λ a : R, a • m) (𝓝 0) (𝓝 0))
(hmulright : ∀ a : R, tendsto (λ m : M, a • m) (𝓝 0) (𝓝 0)) : has_continuous_smul R M :=
⟨begin
rw continuous_iff_continuous_at,
rintros ⟨a₀, m₀⟩,
have key : ∀ p : R × M,
p.1 • p.2 = a₀ • m₀ + ((p.1 - a₀) • m₀ + a₀ • (p.2 - m₀) + (p.1 - a₀) • (p.2 - m₀)),
{ rintro ⟨a, m⟩,
simp [sub_smul, smul_sub],
abel },
rw funext key, clear key,
refine tendsto_const_nhds.add (tendsto.add (tendsto.add _ _) _),
{ rw [sub_self, zero_smul],
apply (hmulleft m₀).comp,
rw [show (λ p : R × M, p.1 - a₀) = (λ a, a - a₀) ∘ prod.fst, by {ext, refl }, nhds_prod_eq],
have : tendsto (λ a, a - a₀) (𝓝 a₀) (𝓝 0),
{ rw ← sub_self a₀,
exact tendsto_id.sub tendsto_const_nhds },
exact this.comp tendsto_fst },
{ rw [sub_self, smul_zero],
apply (hmulright a₀).comp,
rw [show (λ p : R × M, p.2 - m₀) = (λ m, m - m₀) ∘ prod.snd, by {ext, refl }, nhds_prod_eq],
have : tendsto (λ m, m - m₀) (𝓝 m₀) (𝓝 0),
{ rw ← sub_self m₀,
exact tendsto_id.sub tendsto_const_nhds },
exact this.comp tendsto_snd },
{ rw [sub_self, zero_smul, nhds_prod_eq,
show (λ p : R × M, (p.fst - a₀) • (p.snd - m₀)) =
(λ p : R × M, p.1 • p.2) ∘ (prod.map (λ a, a - a₀) (λ m, m - m₀)), by { ext, refl }],
apply hmul.comp (tendsto.prod_map _ _);
{ rw ← sub_self ,
exact tendsto_id.sub tendsto_const_nhds } },
end⟩
end
section
variables {R : Type*} {M : Type*}
[ring R] [topological_space R]
[topological_space M] [add_comm_group M] [has_continuous_add M]
[module R M] [has_continuous_smul R M]
/-- If `M` is a topological module over `R` and `0` is a limit of invertible elements of `R`, then
`⊤` is the only submodule of `M` with a nonempty interior.
This is the case, e.g., if `R` is a nontrivially normed field. -/
lemma submodule.eq_top_of_nonempty_interior'
[ne_bot (𝓝[{x : R | is_unit x}] 0)]
(s : submodule R M) (hs : (interior (s:set M)).nonempty) :
s = ⊤ :=
begin
rcases hs with ⟨y, hy⟩,
refine (submodule.eq_top_iff'.2 $ λ x, _),
rw [mem_interior_iff_mem_nhds] at hy,
have : tendsto (λ c:R, y + c • x) (𝓝[{x : R | is_unit x}] 0) (𝓝 (y + (0:R) • x)),
from tendsto_const_nhds.add ((tendsto_nhds_within_of_tendsto_nhds tendsto_id).smul
tendsto_const_nhds),
rw [zero_smul, add_zero] at this,
obtain ⟨_, hu : y + _ • _ ∈ s, u, rfl⟩ :=
nonempty_of_mem (inter_mem (mem_map.1 (this hy)) self_mem_nhds_within),
have hy' : y ∈ ↑s := mem_of_mem_nhds hy,
rwa [s.add_mem_iff_right hy', ←units.smul_def, s.smul_mem_iff' u] at hu,
end
variables (R M)
/-- Let `R` be a topological ring such that zero is not an isolated point (e.g., a nontrivially
normed field, see `normed_field.punctured_nhds_ne_bot`). Let `M` be a nontrivial module over `R`
such that `c • x = 0` implies `c = 0 ∨ x = 0`. Then `M` has no isolated points. We formulate this
using `ne_bot (𝓝[≠] x)`.
This lemma is not an instance because Lean would need to find `[has_continuous_smul ?m_1 M]` with
unknown `?m_1`. We register this as an instance for `R = ℝ` in `real.punctured_nhds_module_ne_bot`.
One can also use `haveI := module.punctured_nhds_ne_bot R M` in a proof.
-/
lemma module.punctured_nhds_ne_bot [nontrivial M] [ne_bot (𝓝[≠] (0 : R))]
[no_zero_smul_divisors R M] (x : M) :
ne_bot (𝓝[≠] x) :=
begin
rcases exists_ne (0 : M) with ⟨y, hy⟩,
suffices : tendsto (λ c : R, x + c • y) (𝓝[≠] 0) (𝓝[≠] x), from this.ne_bot,
refine tendsto.inf _ (tendsto_principal_principal.2 $ _),
{ convert tendsto_const_nhds.add ((@tendsto_id R _).smul_const y),
rw [zero_smul, add_zero] },
{ intros c hc,
simpa [hy] using hc }
end
end
section lattice_ops
variables {ι R M₁ M₂ : Type*} [semiring R] [add_comm_monoid M₁] [add_comm_monoid M₂]
[module R M₁] [module R M₂] [u : topological_space R] {t : topological_space M₂}
[has_continuous_smul R M₂] (f : M₁ →ₗ[R] M₂)
lemma has_continuous_smul_induced :
@has_continuous_smul R M₁ _ u (t.induced f) :=
{ continuous_smul :=
begin
letI : topological_space M₁ := t.induced f,
refine continuous_induced_rng.2 _,
simp_rw [function.comp, f.map_smul],
refine continuous_fst.smul (continuous_induced_dom.comp continuous_snd)
end }
end lattice_ops
namespace submodule
variables {α β : Type*} [topological_space β]
instance [topological_space α] [semiring α] [add_comm_monoid β] [module α β]
[has_continuous_smul α β] (S : submodule α β) :
has_continuous_smul α S :=
{ continuous_smul :=
begin
rw embedding_subtype_coe.to_inducing.continuous_iff,
exact continuous_fst.smul
(continuous_subtype_coe.comp continuous_snd)
end }
instance [ring α] [add_comm_group β] [module α β] [topological_add_group β] (S : submodule α β) :
topological_add_group S :=
S.to_add_subgroup.topological_add_group
end submodule
section closure
variables {R : Type u} {M : Type v}
[semiring R] [topological_space R]
[topological_space M] [add_comm_monoid M]
[module R M] [has_continuous_smul R M]
lemma submodule.closure_smul_self_subset (s : submodule R M) :
(λ p : R × M, p.1 • p.2) '' (set.univ ×ˢ closure s) ⊆ closure s :=
calc
(λ p : R × M, p.1 • p.2) '' (set.univ ×ˢ closure s)
= (λ p : R × M, p.1 • p.2) '' closure (set.univ ×ˢ s) :
by simp [closure_prod_eq]
... ⊆ closure ((λ p : R × M, p.1 • p.2) '' (set.univ ×ˢ s)) :
image_closure_subset_closure_image continuous_smul
... = closure s : begin
congr,
ext x,
refine ⟨_, λ hx, ⟨⟨1, x⟩, ⟨set.mem_univ _, hx⟩, one_smul R _⟩⟩,
rintros ⟨⟨c, y⟩, ⟨hc, hy⟩, rfl⟩,
simp [s.smul_mem c hy]
end
lemma submodule.closure_smul_self_eq (s : submodule R M) :
(λ p : R × M, p.1 • p.2) '' (set.univ ×ˢ closure s) = closure s :=
s.closure_smul_self_subset.antisymm $ λ x hx, ⟨⟨1, x⟩, ⟨set.mem_univ _, hx⟩, one_smul R _⟩
variables [has_continuous_add M]
/-- The (topological-space) closure of a submodule of a topological `R`-module `M` is itself
a submodule. -/
def submodule.topological_closure (s : submodule R M) : submodule R M :=
{ carrier := closure (s : set M),
smul_mem' := λ c x hx, s.closure_smul_self_subset ⟨⟨c, x⟩, ⟨set.mem_univ _, hx⟩, rfl⟩,
..s.to_add_submonoid.topological_closure }
@[simp] lemma submodule.topological_closure_coe (s : submodule R M) :
(s.topological_closure : set M) = closure (s : set M) :=
rfl
lemma submodule.le_topological_closure (s : submodule R M) :
s ≤ s.topological_closure :=
subset_closure
lemma submodule.is_closed_topological_closure (s : submodule R M) :
is_closed (s.topological_closure : set M) :=
by convert is_closed_closure
lemma submodule.topological_closure_minimal
(s : submodule R M) {t : submodule R M} (h : s ≤ t) (ht : is_closed (t : set M)) :
s.topological_closure ≤ t :=
closure_minimal h ht
lemma submodule.topological_closure_mono {s : submodule R M} {t : submodule R M} (h : s ≤ t) :
s.topological_closure ≤ t.topological_closure :=
s.topological_closure_minimal (h.trans t.le_topological_closure)
t.is_closed_topological_closure
/-- The topological closure of a closed submodule `s` is equal to `s`. -/
lemma is_closed.submodule_topological_closure_eq {s : submodule R M} (hs : is_closed (s : set M)) :
s.topological_closure = s :=
le_antisymm (s.topological_closure_minimal rfl.le hs) s.le_topological_closure
/-- A subspace is dense iff its topological closure is the entire space. -/
lemma submodule.dense_iff_topological_closure_eq_top {s : submodule R M} :
dense (s : set M) ↔ s.topological_closure = ⊤ :=
by { rw [←set_like.coe_set_eq, dense_iff_closure_eq], simp }
instance {M' : Type*} [add_comm_monoid M'] [module R M'] [uniform_space M']
[has_continuous_add M'] [has_continuous_smul R M'] [complete_space M'] (U : submodule R M') :
complete_space U.topological_closure :=
is_closed_closure.complete_space_coe
/-- A maximal proper subspace of a topological module (i.e a `submodule` satisfying `is_coatom`)
is either closed or dense. -/
lemma submodule.is_closed_or_dense_of_is_coatom (s : submodule R M) (hs : is_coatom s) :
is_closed (s : set M) ∨ dense (s : set M) :=
(hs.le_iff.mp s.le_topological_closure).swap.imp (is_closed_of_closure_subset ∘ eq.le)
submodule.dense_iff_topological_closure_eq_top.mpr
end closure
section pi
lemma linear_map.continuous_on_pi {ι : Type*} {R : Type*} {M : Type*} [finite ι] [semiring R]
[topological_space R] [add_comm_monoid M] [module R M] [topological_space M]
[has_continuous_add M] [has_continuous_smul R M] (f : (ι → R) →ₗ[R] M) :
continuous f :=
begin
casesI nonempty_fintype ι,
classical,
-- for the proof, write `f` in the standard basis, and use that each coordinate is a continuous
-- function.
have : (f : (ι → R) → M) =
(λx, ∑ i : ι, x i • (f (λ j, 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
end pi
/-- Continuous linear maps between modules. We only put the type classes that are necessary for the
definition, although in applications `M` and `M₂` will be topological modules over the topological
ring `R`. -/
structure continuous_linear_map
{R : Type*} {S : Type*} [semiring R] [semiring S] (σ : R →+* S)
(M : Type*) [topological_space M] [add_comm_monoid M]
(M₂ : Type*) [topological_space M₂] [add_comm_monoid M₂]
[module R M] [module S M₂]
extends M →ₛₗ[σ] M₂ :=
(cont : continuous to_fun . tactic.interactive.continuity')
notation M ` →SL[`:25 σ `] ` M₂ := continuous_linear_map σ M M₂
notation M ` →L[`:25 R `] ` M₂ := continuous_linear_map (ring_hom.id R) M M₂
notation M ` →L⋆[`:25 R `] ` M₂ := continuous_linear_map (star_ring_end R) M M₂
set_option old_structure_cmd true
/-- `continuous_semilinear_map_class F σ M M₂` asserts `F` is a type of bundled continuous
`σ`-semilinear maps `M → M₂`. See also `continuous_linear_map_class F R M M₂` for the case where
`σ` is the identity map on `R`. A map `f` between an `R`-module and an `S`-module over a ring
homomorphism `σ : R →+* S` is semilinear if it satisfies the two properties `f (x + y) = f x + f y`
and `f (c • x) = (σ c) • f x`. -/
class continuous_semilinear_map_class (F : Type*) {R S : out_param Type*} [semiring R] [semiring S]
(σ : out_param $ R →+* S) (M : out_param Type*) [topological_space M] [add_comm_monoid M]
(M₂ : out_param Type*) [topological_space M₂] [add_comm_monoid M₂] [module R M] [module S M₂]
extends semilinear_map_class F σ M M₂, continuous_map_class F M M₂
-- `σ`, `R` and `S` become metavariables, but they are all outparams so it's OK
attribute [nolint dangerous_instance] continuous_semilinear_map_class.to_continuous_map_class
/-- `continuous_linear_map_class F R M M₂` asserts `F` is a type of bundled continuous
`R`-linear maps `M → M₂`. This is an abbreviation for
`continuous_semilinear_map_class F (ring_hom.id R) M M₂`. -/
abbreviation continuous_linear_map_class (F : Type*)
(R : out_param Type*) [semiring R]
(M : out_param Type*) [topological_space M] [add_comm_monoid M]
(M₂ : out_param Type*) [topological_space M₂] [add_comm_monoid M₂]
[module R M] [module R M₂] :=
continuous_semilinear_map_class F (ring_hom.id R) M M₂
set_option old_structure_cmd false
/-- Continuous linear equivalences between modules. We only put the type classes that are necessary
for the definition, although in applications `M` and `M₂` will be topological modules over the
topological semiring `R`. -/
@[nolint has_nonempty_instance]
structure continuous_linear_equiv
{R : Type*} {S : Type*} [semiring R] [semiring S] (σ : R →+* S)
{σ' : S →+* R} [ring_hom_inv_pair σ σ'] [ring_hom_inv_pair σ' σ]
(M : Type*) [topological_space M] [add_comm_monoid M]
(M₂ : Type*) [topological_space M₂] [add_comm_monoid M₂]
[module R M] [module S M₂]
extends M ≃ₛₗ[σ] M₂ :=
(continuous_to_fun : continuous to_fun . tactic.interactive.continuity')
(continuous_inv_fun : continuous inv_fun . tactic.interactive.continuity')
notation M ` ≃SL[`:50 σ `] ` M₂ := continuous_linear_equiv σ M M₂
notation M ` ≃L[`:50 R `] ` M₂ := continuous_linear_equiv (ring_hom.id R) M M₂
notation M ` ≃L⋆[`:50 R `] ` M₂ := continuous_linear_equiv (star_ring_end R) M M₂
set_option old_structure_cmd true
/-- `continuous_semilinear_equiv_class F σ M M₂` asserts `F` is a type of bundled continuous
`σ`-semilinear equivs `M → M₂`. See also `continuous_linear_equiv_class F R M M₂` for the case
where `σ` is the identity map on `R`. A map `f` between an `R`-module and an `S`-module over a ring
homomorphism `σ : R →+* S` is semilinear if it satisfies the two properties `f (x + y) = f x + f y`
and `f (c • x) = (σ c) • f x`. -/
class continuous_semilinear_equiv_class (F : Type*)
{R : out_param Type*} {S : out_param Type*} [semiring R] [semiring S] (σ : out_param $ R →+* S)
{σ' : out_param $ S →+* R} [ring_hom_inv_pair σ σ'] [ring_hom_inv_pair σ' σ]
(M : out_param Type*) [topological_space M] [add_comm_monoid M]
(M₂ : out_param Type*) [topological_space M₂] [add_comm_monoid M₂]
[module R M] [module S M₂]
extends semilinear_equiv_class F σ M M₂ :=
(map_continuous : ∀ (f : F), continuous f . tactic.interactive.continuity')
(inv_continuous : ∀ (f : F), continuous (inv f) . tactic.interactive.continuity')
/-- `continuous_linear_equiv_class F σ M M₂` asserts `F` is a type of bundled continuous
`R`-linear equivs `M → M₂`. This is an abbreviation for
`continuous_semilinear_equiv_class F (ring_hom.id) M M₂`. -/
abbreviation continuous_linear_equiv_class (F : Type*)
(R : out_param Type*) [semiring R]
(M : out_param Type*) [topological_space M] [add_comm_monoid M]
(M₂ : out_param Type*) [topological_space M₂] [add_comm_monoid M₂]
[module R M] [module R M₂] :=
continuous_semilinear_equiv_class F (ring_hom.id R) M M₂
set_option old_structure_cmd false
namespace continuous_semilinear_equiv_class
variables (F : Type*)
{R : Type*} {S : Type*} [semiring R] [semiring S] (σ : R →+* S)
{σ' : S →+* R} [ring_hom_inv_pair σ σ'] [ring_hom_inv_pair σ' σ]
(M : Type*) [topological_space M] [add_comm_monoid M]
(M₂ : Type*) [topological_space M₂] [add_comm_monoid M₂]
[module R M] [module S M₂]
include σ'
-- `σ'` becomes a metavariable, but it's OK since it's an outparam
@[priority 100, nolint dangerous_instance]
instance [s: continuous_semilinear_equiv_class F σ M M₂] :
continuous_semilinear_map_class F σ M M₂ :=
{ coe := (coe : F → M → M₂),
coe_injective' := @fun_like.coe_injective F _ _ _,
..s }
omit σ'
end continuous_semilinear_equiv_class
section pointwise_limits
variables
{M₁ M₂ α R S : Type*}
[topological_space M₂] [t2_space M₂] [semiring R] [semiring S]
[add_comm_monoid M₁] [add_comm_monoid M₂] [module R M₁] [module S M₂]
[has_continuous_const_smul S M₂]
section
variables (M₁ M₂) (σ : R →+* S)
lemma is_closed_set_of_map_smul : is_closed {f : M₁ → M₂ | ∀ c x, f (c • x) = σ c • f x} :=
begin
simp only [set.set_of_forall],
exact is_closed_Inter (λ c, is_closed_Inter (λ x, is_closed_eq (continuous_apply _)
((continuous_apply _).const_smul _)))
end
end
variables [has_continuous_add M₂] {σ : R →+* S} {l : filter α}
/-- Constructs a bundled linear map from a function and a proof that this function belongs to the
closure of the set of linear maps. -/
@[simps { fully_applied := ff }] def linear_map_of_mem_closure_range_coe (f : M₁ → M₂)
(hf : f ∈ closure (set.range (coe_fn : (M₁ →ₛₗ[σ] M₂) → (M₁ → M₂)))) :
M₁ →ₛₗ[σ] M₂ :=
{ to_fun := f,
map_smul' := (is_closed_set_of_map_smul M₁ M₂ σ).closure_subset_iff.2
(set.range_subset_iff.2 linear_map.map_smulₛₗ) hf,
.. add_monoid_hom_of_mem_closure_range_coe f hf }
/-- Construct a bundled linear map from a pointwise limit of linear maps -/
@[simps { fully_applied := ff }]
def linear_map_of_tendsto (f : M₁ → M₂) (g : α → M₁ →ₛₗ[σ] M₂) [l.ne_bot]
(h : tendsto (λ a x, g a x) l (𝓝 f)) : M₁ →ₛₗ[σ] M₂ :=
linear_map_of_mem_closure_range_coe f $ mem_closure_of_tendsto h $
eventually_of_forall $ λ a, set.mem_range_self _
variables (M₁ M₂ σ)
lemma linear_map.is_closed_range_coe :
is_closed (set.range (coe_fn : (M₁ →ₛₗ[σ] M₂) → (M₁ → M₂))) :=
is_closed_of_closure_subset $ λ f hf, ⟨linear_map_of_mem_closure_range_coe f hf, rfl⟩
end pointwise_limits
namespace continuous_linear_map
section semiring
/-!
### Properties that hold for non-necessarily commutative semirings.
-/
variables
{R₁ : Type*} {R₂ : Type*} {R₃ : Type*} [semiring R₁] [semiring R₂] [semiring R₃]
{σ₁₂ : R₁ →+* R₂} {σ₂₃ : R₂ →+* R₃} {σ₁₃ : R₁ →+* R₃}
{M₁ : Type*} [topological_space M₁] [add_comm_monoid M₁]
{M'₁ : Type*} [topological_space M'₁] [add_comm_monoid M'₁]
{M₂ : Type*} [topological_space M₂] [add_comm_monoid M₂]
{M₃ : Type*} [topological_space M₃] [add_comm_monoid M₃]
{M₄ : Type*} [topological_space M₄] [add_comm_monoid M₄]
[module R₁ M₁] [module R₁ M'₁] [module R₂ M₂] [module R₃ M₃]
/-- Coerce continuous linear maps to linear maps. -/
instance : has_coe (M₁ →SL[σ₁₂] M₂) (M₁ →ₛₗ[σ₁₂] M₂) := ⟨to_linear_map⟩
-- make the coercion the preferred form
@[simp] lemma to_linear_map_eq_coe (f : M₁ →SL[σ₁₂] M₂) : f.to_linear_map = f := rfl
theorem coe_injective : function.injective (coe : (M₁ →SL[σ₁₂] M₂) → (M₁ →ₛₗ[σ₁₂] M₂)) :=
by { intros f g H, cases f, cases g, congr' }
instance : continuous_semilinear_map_class (M₁ →SL[σ₁₂] M₂) σ₁₂ M₁ M₂ :=
{ coe := λ f, f.to_fun,
coe_injective' := λ f g h, coe_injective (fun_like.coe_injective h),
map_add := λ f, map_add f.to_linear_map,
map_continuous := λ f, f.2,
map_smulₛₗ := λ f, f.to_linear_map.map_smul' }
/-- Coerce continuous linear maps to functions. -/
-- see Note [function coercion]
instance to_fun : has_coe_to_fun (M₁ →SL[σ₁₂] M₂) (λ _, M₁ → M₂) := ⟨λ f, f.to_fun⟩
@[simp] lemma coe_mk (f : M₁ →ₛₗ[σ₁₂] M₂) (h) : (mk f h : M₁ →ₛₗ[σ₁₂] M₂) = f := rfl
@[simp] lemma coe_mk' (f : M₁ →ₛₗ[σ₁₂] M₂) (h) : (mk f h : M₁ → M₂) = f := rfl
@[continuity]
protected lemma continuous (f : M₁ →SL[σ₁₂] M₂) : continuous f := f.2
protected lemma uniform_continuous {E₁ E₂ : Type*} [uniform_space E₁] [uniform_space E₂]
[add_comm_group E₁] [add_comm_group E₂] [module R₁ E₁] [module R₂ E₂]
[uniform_add_group E₁] [uniform_add_group E₂] (f : E₁ →SL[σ₁₂] E₂) :
uniform_continuous f :=
uniform_continuous_add_monoid_hom_of_continuous f.continuous
@[simp, norm_cast] lemma coe_inj {f g : M₁ →SL[σ₁₂] M₂} :
(f : M₁ →ₛₗ[σ₁₂] M₂) = g ↔ f = g :=
coe_injective.eq_iff
theorem coe_fn_injective : @function.injective (M₁ →SL[σ₁₂] M₂) (M₁ → M₂) coe_fn :=
fun_like.coe_injective
/-- See Note [custom simps projection]. We need to specify this projection explicitly in this case,
because it is a composition of multiple projections. -/
def simps.apply (h : M₁ →SL[σ₁₂] M₂) : M₁ → M₂ := h
/-- See Note [custom simps projection]. -/
def simps.coe (h : M₁ →SL[σ₁₂] M₂) : M₁ →ₛₗ[σ₁₂] M₂ := h
initialize_simps_projections continuous_linear_map
(to_linear_map_to_fun → apply, to_linear_map → coe)
@[ext] theorem ext {f g : M₁ →SL[σ₁₂] M₂} (h : ∀ x, f x = g x) : f = g :=
fun_like.ext f g h
theorem ext_iff {f g : M₁ →SL[σ₁₂] M₂} : f = g ↔ ∀ x, f x = g x :=
fun_like.ext_iff
/-- Copy of a `continuous_linear_map` with a new `to_fun` equal to the old one. Useful to fix
definitional equalities. -/
protected def copy (f : M₁ →SL[σ₁₂] M₂) (f' : M₁ → M₂) (h : f' = ⇑f) : M₁ →SL[σ₁₂] M₂ :=
{ to_linear_map := f.to_linear_map.copy f' h,
cont := show continuous f', from h.symm ▸ f.continuous }
@[simp]
lemma coe_copy (f : M₁ →SL[σ₁₂] M₂) (f' : M₁ → M₂) (h : f' = ⇑f) : ⇑(f.copy f' h) = f' := rfl
lemma copy_eq (f : M₁ →SL[σ₁₂] M₂) (f' : M₁ → M₂) (h : f' = ⇑f) : f.copy f' h = f := fun_like.ext' h
-- make some straightforward lemmas available to `simp`.
protected lemma map_zero (f : M₁ →SL[σ₁₂] M₂) : f (0 : M₁) = 0 := map_zero f
protected lemma map_add (f : M₁ →SL[σ₁₂] M₂) (x y : M₁) : f (x + y) = f x + f y := map_add f x y
@[simp]
protected lemma map_smulₛₗ (f : M₁ →SL[σ₁₂] M₂) (c : R₁) (x : M₁) :
f (c • x) = (σ₁₂ c) • f x := (to_linear_map _).map_smulₛₗ _ _
@[simp]
protected lemma map_smul [module R₁ M₂] (f : M₁ →L[R₁] M₂)(c : R₁) (x : M₁) : f (c • x) = c • f x :=
by simp only [ring_hom.id_apply, continuous_linear_map.map_smulₛₗ]
@[simp, priority 900]
lemma map_smul_of_tower {R S : Type*} [semiring S] [has_smul R M₁]
[module S M₁] [has_smul R M₂] [module S M₂]
[linear_map.compatible_smul M₁ M₂ R S] (f : M₁ →L[S] M₂) (c : R) (x : M₁) :
f (c • x) = c • f x :=
linear_map.compatible_smul.map_smul f c x
protected lemma map_sum {ι : Type*} (f : M₁ →SL[σ₁₂] M₂) (s : finset ι) (g : ι → M₁) :
f (∑ i in s, g i) = ∑ i in s, f (g i) := f.to_linear_map.map_sum
@[simp, norm_cast] lemma coe_coe (f : M₁ →SL[σ₁₂] M₂) : ⇑(f : M₁ →ₛₗ[σ₁₂] M₂) = f := rfl
@[ext] theorem ext_ring [topological_space R₁] {f g : R₁ →L[R₁] M₁} (h : f 1 = g 1) : f = g :=
coe_inj.1 $ linear_map.ext_ring h
theorem ext_ring_iff [topological_space R₁] {f g : R₁ →L[R₁] M₁} : f = g ↔ f 1 = g 1 :=
⟨λ h, h ▸ rfl, ext_ring⟩
/-- If two continuous linear maps are equal on a set `s`, then they are equal on the closure
of the `submodule.span` of this set. -/
lemma eq_on_closure_span [t2_space M₂] {s : set M₁} {f g : M₁ →SL[σ₁₂] M₂} (h : set.eq_on f g s) :
set.eq_on f g (closure (submodule.span R₁ s : set M₁)) :=
(linear_map.eq_on_span' h).closure f.continuous g.continuous
/-- If the submodule generated by a set `s` is dense in the ambient module, then two continuous
linear maps equal on `s` are equal. -/
lemma ext_on [t2_space M₂] {s : set M₁} (hs : dense (submodule.span R₁ s : set M₁))
{f g : M₁ →SL[σ₁₂] M₂} (h : set.eq_on f g s) :
f = g :=
ext $ λ x, eq_on_closure_span h (hs x)
/-- Under a continuous linear map, the image of the `topological_closure` of a submodule is
contained in the `topological_closure` of its image. -/
lemma _root_.submodule.topological_closure_map [ring_hom_surjective σ₁₂] [topological_space R₁]
[topological_space R₂] [has_continuous_smul R₁ M₁] [has_continuous_add M₁]
[has_continuous_smul R₂ M₂] [has_continuous_add M₂] (f : M₁ →SL[σ₁₂] M₂) (s : submodule R₁ M₁) :
(s.topological_closure.map (f : M₁ →ₛₗ[σ₁₂] M₂))
≤ (s.map (f : M₁ →ₛₗ[σ₁₂] M₂)).topological_closure :=
image_closure_subset_closure_image f.continuous
/-- Under a dense continuous linear map, a submodule whose `topological_closure` is `⊤` is sent to
another such submodule. That is, the image of a dense set under a map with dense range is dense.
-/
lemma _root_.dense_range.topological_closure_map_submodule [ring_hom_surjective σ₁₂]
[topological_space R₁] [topological_space R₂] [has_continuous_smul R₁ M₁] [has_continuous_add M₁]
[has_continuous_smul R₂ M₂] [has_continuous_add M₂] {f : M₁ →SL[σ₁₂] M₂} (hf' : dense_range f)
{s : submodule R₁ M₁} (hs : s.topological_closure = ⊤) :
(s.map (f : M₁ →ₛₗ[σ₁₂] M₂)).topological_closure = ⊤ :=
begin
rw set_like.ext'_iff at hs ⊢,
simp only [submodule.topological_closure_coe, submodule.top_coe, ← dense_iff_closure_eq] at hs ⊢,
exact hf'.dense_image f.continuous hs
end
section smul_monoid
variables {S₂ T₂ : Type*} [monoid S₂] [monoid T₂]
variables [distrib_mul_action S₂ M₂] [smul_comm_class R₂ S₂ M₂] [has_continuous_const_smul S₂ M₂]
variables [distrib_mul_action T₂ M₂] [smul_comm_class R₂ T₂ M₂] [has_continuous_const_smul T₂ M₂]
instance : mul_action S₂ (M₁ →SL[σ₁₂] M₂) :=
{ smul := λ c f, ⟨c • f, (f.2.const_smul _ : continuous (λ x, c • f x))⟩,
one_smul := λ f, ext $ λ x, one_smul _ _,
mul_smul := λ a b f, ext $ λ x, mul_smul _ _ _ }
lemma smul_apply (c : S₂) (f : M₁ →SL[σ₁₂] M₂) (x : M₁) : (c • f) x = c • (f x) := rfl
@[simp, norm_cast]
lemma coe_smul (c : S₂) (f : M₁ →SL[σ₁₂] M₂) : (↑(c • f) : M₁ →ₛₗ[σ₁₂] M₂) = c • f := rfl
@[simp, norm_cast] lemma coe_smul' (c : S₂) (f : M₁ →SL[σ₁₂] M₂) : ⇑(c • f) = c • f := rfl
instance [has_smul S₂ T₂] [is_scalar_tower S₂ T₂ M₂] : is_scalar_tower S₂ T₂ (M₁ →SL[σ₁₂] M₂) :=
⟨λ a b f, ext $ λ x, smul_assoc a b (f x)⟩
instance [smul_comm_class S₂ T₂ M₂] : smul_comm_class S₂ T₂ (M₁ →SL[σ₁₂] M₂) :=
⟨λ a b f, ext $ λ x, smul_comm a b (f x)⟩
end smul_monoid
/-- The continuous map that is constantly zero. -/
instance: has_zero (M₁ →SL[σ₁₂] M₂) := ⟨⟨0, continuous_zero⟩⟩
instance : inhabited (M₁ →SL[σ₁₂] M₂) := ⟨0⟩
@[simp] lemma default_def : (default : M₁ →SL[σ₁₂] M₂) = 0 := rfl
@[simp] lemma zero_apply (x : M₁) : (0 : M₁ →SL[σ₁₂] M₂) x = 0 := rfl
@[simp, norm_cast] lemma coe_zero : ((0 : M₁ →SL[σ₁₂] M₂) : M₁ →ₛₗ[σ₁₂] M₂) = 0 := rfl
/- no simp attribute on the next line as simp does not always simplify `0 x` to `0`
when `0` is the zero function, while it does for the zero continuous linear map,
and this is the most important property we care about. -/
@[norm_cast] lemma coe_zero' : ⇑(0 : M₁ →SL[σ₁₂] M₂) = 0 := rfl
instance unique_of_left [subsingleton M₁] : unique (M₁ →SL[σ₁₂] M₂) :=
coe_injective.unique
instance unique_of_right [subsingleton M₂] : unique (M₁ →SL[σ₁₂] M₂) :=
coe_injective.unique
lemma exists_ne_zero {f : M₁ →SL[σ₁₂] M₂} (hf : f ≠ 0) : ∃ x, f x ≠ 0 :=
by { by_contra' h, exact hf (continuous_linear_map.ext h) }
section
variables (R₁ M₁)
/-- the identity map as a continuous linear map. -/
def id : M₁ →L[R₁] M₁ :=
⟨linear_map.id, continuous_id⟩
end
instance : has_one (M₁ →L[R₁] M₁) := ⟨id R₁ M₁⟩
lemma one_def : (1 : M₁ →L[R₁] M₁) = id R₁ M₁ := rfl
lemma id_apply (x : M₁) : id R₁ M₁ x = x := rfl
@[simp, norm_cast] lemma coe_id : (id R₁ M₁ : M₁ →ₗ[R₁] M₁) = linear_map.id := rfl
@[simp, norm_cast] lemma coe_id' : ⇑(id R₁ M₁) = _root_.id := rfl
@[simp, norm_cast] lemma coe_eq_id {f : M₁ →L[R₁] M₁} :
(f : M₁ →ₗ[R₁] M₁) = linear_map.id ↔ f = id _ _ :=
by rw [← coe_id, coe_inj]
@[simp] lemma one_apply (x : M₁) : (1 : M₁ →L[R₁] M₁) x = x := rfl
section add
variables [has_continuous_add M₂]
instance : has_add (M₁ →SL[σ₁₂] M₂) :=
⟨λ f g, ⟨f + g, f.2.add g.2⟩⟩
@[simp] lemma add_apply (f g : M₁ →SL[σ₁₂] M₂) (x : M₁) : (f + g) x = f x + g x := rfl
@[simp, norm_cast] lemma coe_add (f g : M₁ →SL[σ₁₂] M₂) : (↑(f + g) : M₁ →ₛₗ[σ₁₂] M₂) = f + g := rfl
@[norm_cast] lemma coe_add' (f g : M₁ →SL[σ₁₂] M₂) : ⇑(f + g) = f + g := rfl
instance : add_comm_monoid (M₁ →SL[σ₁₂] M₂) :=
{ zero := (0 : M₁ →SL[σ₁₂] M₂),
add := (+),
zero_add := by intros; ext; apply_rules [zero_add, add_assoc, add_zero, add_left_neg, add_comm],
add_zero := by intros; ext; apply_rules [zero_add, add_assoc, add_zero, add_left_neg, add_comm],
add_comm := by intros; ext; apply_rules [zero_add, add_assoc, add_zero, add_left_neg, add_comm],
add_assoc := by intros; ext; apply_rules [zero_add, add_assoc, add_zero, add_left_neg, add_comm],
nsmul := (•),
nsmul_zero' := λ f, by { ext, simp },
nsmul_succ' := λ n f, by { ext, simp [nat.succ_eq_one_add, add_smul] } }
@[simp, norm_cast] lemma coe_sum {ι : Type*} (t : finset ι) (f : ι → M₁ →SL[σ₁₂] M₂) :
↑(∑ d in t, f d) = (∑ d in t, f d : M₁ →ₛₗ[σ₁₂] M₂) :=
(add_monoid_hom.mk (coe : (M₁ →SL[σ₁₂] M₂) → (M₁ →ₛₗ[σ₁₂] M₂)) rfl (λ _ _, rfl)).map_sum _ _
@[simp, norm_cast] lemma coe_sum' {ι : Type*} (t : finset ι) (f : ι → M₁ →SL[σ₁₂] M₂) :
⇑(∑ d in t, f d) = ∑ d in t, f d :=
by simp only [← coe_coe, coe_sum, linear_map.coe_fn_sum]
lemma sum_apply {ι : Type*} (t : finset ι) (f : ι → M₁ →SL[σ₁₂] M₂) (b : M₁) :
(∑ d in t, f d) b = ∑ d in t, f d b :=
by simp only [coe_sum', finset.sum_apply]
end add
variables [ring_hom_comp_triple σ₁₂ σ₂₃ σ₁₃]
/-- Composition of bounded linear maps. -/
def comp (g : M₂ →SL[σ₂₃] M₃) (f : M₁ →SL[σ₁₂] M₂) : M₁ →SL[σ₁₃] M₃ :=
⟨(g : M₂ →ₛₗ[σ₂₃] M₃).comp ↑f, g.2.comp f.2⟩
infixr ` ∘L `:80 := @continuous_linear_map.comp _ _ _ _ _ _
(ring_hom.id _) (ring_hom.id _) (ring_hom.id _) _ _ _ _ _ _ _ _ _ _ _ _ ring_hom_comp_triple.ids
@[simp, norm_cast] lemma coe_comp (h : M₂ →SL[σ₂₃] M₃) (f : M₁ →SL[σ₁₂] M₂) :
(h.comp f : M₁ →ₛₗ[σ₁₃] M₃) = (h : M₂ →ₛₗ[σ₂₃] M₃).comp (f : M₁ →ₛₗ[σ₁₂] M₂) := rfl
include σ₁₃
@[simp, norm_cast] lemma coe_comp' (h : M₂ →SL[σ₂₃] M₃) (f : M₁ →SL[σ₁₂] M₂) :
⇑(h.comp f) = h ∘ f := rfl
lemma comp_apply (g : M₂ →SL[σ₂₃] M₃) (f : M₁ →SL[σ₁₂] M₂) (x : M₁) : (g.comp f) x = g (f x) := rfl
omit σ₁₃
@[simp] theorem comp_id (f : M₁ →SL[σ₁₂] M₂) : f.comp (id R₁ M₁) = f :=
ext $ λ x, rfl
@[simp] theorem id_comp (f : M₁ →SL[σ₁₂] M₂) : (id R₂ M₂).comp f = f :=
ext $ λ x, rfl
include σ₁₃
@[simp] theorem comp_zero (g : M₂ →SL[σ₂₃] M₃) : g.comp (0 : M₁ →SL[σ₁₂] M₂) = 0 :=
by { ext, simp }
@[simp] theorem zero_comp (f : M₁ →SL[σ₁₂] M₂) : (0 : M₂ →SL[σ₂₃] M₃).comp f = 0 :=
by { ext, simp }
@[simp] lemma comp_add [has_continuous_add M₂] [has_continuous_add M₃]
(g : M₂ →SL[σ₂₃] M₃) (f₁ f₂ : M₁ →SL[σ₁₂] M₂) :
g.comp (f₁ + f₂) = g.comp f₁ + g.comp f₂ :=
by { ext, simp }
@[simp] lemma add_comp [has_continuous_add M₃]
(g₁ g₂ : M₂ →SL[σ₂₃] M₃) (f : M₁ →SL[σ₁₂] M₂) :
(g₁ + g₂).comp f = g₁.comp f + g₂.comp f :=
by { ext, simp }
omit σ₁₃
theorem comp_assoc {R₄ : Type*} [semiring R₄] [module R₄ M₄] {σ₁₄ : R₁ →+* R₄} {σ₂₄ : R₂ →+* R₄}
{σ₃₄ : R₃ →+* R₄} [ring_hom_comp_triple σ₁₃ σ₃₄ σ₁₄] [ring_hom_comp_triple σ₂₃ σ₃₄ σ₂₄]
[ring_hom_comp_triple σ₁₂ σ₂₄ σ₁₄] (h : M₃ →SL[σ₃₄] M₄) (g : M₂ →SL[σ₂₃] M₃)
(f : M₁ →SL[σ₁₂] M₂) :
(h.comp g).comp f = h.comp (g.comp f) :=
rfl
instance : has_mul (M₁ →L[R₁] M₁) := ⟨comp⟩
lemma mul_def (f g : M₁ →L[R₁] M₁) : f * g = f.comp g := rfl
@[simp] lemma coe_mul (f g : M₁ →L[R₁] M₁) : ⇑(f * g) = f ∘ g := rfl
lemma mul_apply (f g : M₁ →L[R₁] M₁) (x : M₁) : (f * g) x = f (g x) := rfl
instance : monoid_with_zero (M₁ →L[R₁] M₁) :=
{ mul := (*),
one := 1,
zero := 0,
mul_zero := λ f, ext $ λ _, map_zero f,
zero_mul := λ _, ext $ λ _, rfl,
mul_one := λ _, ext $ λ _, rfl,
one_mul := λ _, ext $ λ _, rfl,
mul_assoc := λ _ _ _, ext $ λ _, rfl, }
instance [has_continuous_add M₁] : semiring (M₁ →L[R₁] M₁) :=
{ mul := (*),
one := 1,
left_distrib := λ f g h, ext $ λ x, map_add f (g x) (h x),
right_distrib := λ _ _ _, ext $ λ _, linear_map.add_apply _ _ _,
..continuous_linear_map.monoid_with_zero,
..continuous_linear_map.add_comm_monoid }
/-- `continuous_linear_map.to_linear_map` as a `ring_hom`.-/
@[simps]
def to_linear_map_ring_hom [has_continuous_add M₁] : (M₁ →L[R₁] M₁) →+* (M₁ →ₗ[R₁] M₁) :=
{ to_fun := to_linear_map,
map_zero' := rfl,
map_one' := rfl,
map_add' := λ _ _, rfl,
map_mul' := λ _ _, rfl }
section apply_action
variables [has_continuous_add M₁]
/-- The tautological action by `M₁ →L[R₁] M₁` on `M`.
This generalizes `function.End.apply_mul_action`. -/
instance apply_module : module (M₁ →L[R₁] M₁) M₁ :=
module.comp_hom _ to_linear_map_ring_hom
@[simp] protected lemma smul_def (f : M₁ →L[R₁] M₁) (a : M₁) : f • a = f a := rfl
/-- `continuous_linear_map.apply_module` is faithful. -/
instance apply_has_faithful_smul : has_faithful_smul (M₁ →L[R₁] M₁) M₁ :=
⟨λ _ _, continuous_linear_map.ext⟩
instance apply_smul_comm_class : smul_comm_class R₁ (M₁ →L[R₁] M₁) M₁ :=
{ smul_comm := λ r e m, (e.map_smul r m).symm }
instance apply_smul_comm_class' : smul_comm_class (M₁ →L[R₁] M₁) R₁ M₁ :=
{ smul_comm := continuous_linear_map.map_smul }
instance : has_continuous_const_smul (M₁ →L[R₁] M₁) M₁ :=
⟨continuous_linear_map.continuous⟩
end apply_action
/-- The cartesian product of two bounded linear maps, as a bounded linear map. -/
protected def prod [module R₁ M₂] [module R₁ M₃] (f₁ : M₁ →L[R₁] M₂) (f₂ : M₁ →L[R₁] M₃) :
M₁ →L[R₁] (M₂ × M₃) :=
⟨(f₁ : M₁ →ₗ[R₁] M₂).prod f₂, f₁.2.prod_mk f₂.2⟩
@[simp, norm_cast] lemma coe_prod [module R₁ M₂] [module R₁ M₃] (f₁ : M₁ →L[R₁] M₂)
(f₂ : M₁ →L[R₁] M₃) :
(f₁.prod f₂ : M₁ →ₗ[R₁] M₂ × M₃) = linear_map.prod f₁ f₂ :=
rfl
@[simp, norm_cast] lemma prod_apply [module R₁ M₂] [module R₁ M₃] (f₁ : M₁ →L[R₁] M₂)
(f₂ : M₁ →L[R₁] M₃) (x : M₁) :
f₁.prod f₂ x = (f₁ x, f₂ x) :=
rfl
section
variables (R₁ M₁ M₂)
/-- The left injection into a product is a continuous linear map. -/
def inl [module R₁ M₂] : M₁ →L[R₁] M₁ × M₂ := (id R₁ M₁).prod 0
/-- The right injection into a product is a continuous linear map. -/
def inr [module R₁ M₂] : M₂ →L[R₁] M₁ × M₂ := (0 : M₂ →L[R₁] M₁).prod (id R₁ M₂)
end
variables {F : Type*}
@[simp] lemma inl_apply [module R₁ M₂] (x : M₁) : inl R₁ M₁ M₂ x = (x, 0) := rfl
@[simp] lemma inr_apply [module R₁ M₂] (x : M₂) : inr R₁ M₁ M₂ x = (0, x) := rfl
@[simp, norm_cast] lemma coe_inl [module R₁ M₂] :
(inl R₁ M₁ M₂ : M₁ →ₗ[R₁] M₁ × M₂) = linear_map.inl R₁ M₁ M₂ := rfl
@[simp, norm_cast] lemma coe_inr [module R₁ M₂] :
(inr R₁ M₁ M₂ : M₂ →ₗ[R₁] M₁ × M₂) = linear_map.inr R₁ M₁ M₂ := rfl
lemma is_closed_ker [t1_space M₂] [continuous_semilinear_map_class F σ₁₂ M₁ M₂]
(f : F) : is_closed (ker f : set M₁) :=
continuous_iff_is_closed.1 (map_continuous f) _ is_closed_singleton
lemma is_complete_ker {M' : Type*} [uniform_space M'] [complete_space M'] [add_comm_monoid M']
[module R₁ M'] [t1_space M₂] [continuous_semilinear_map_class F σ₁₂ M' M₂]
(f : F) : is_complete (ker f : set M') :=
(is_closed_ker f).is_complete
@[priority 100]
instance complete_space_ker {M' : Type*} [uniform_space M'] [complete_space M'] [add_comm_monoid M']
[module R₁ M'] [t1_space M₂] [continuous_semilinear_map_class F σ₁₂ M' M₂]
(f : F) : complete_space (ker f) :=
(is_closed_ker f).complete_space_coe
@[simp] lemma ker_prod [module R₁ M₂] [module R₁ M₃] (f : M₁ →L[R₁] M₂) (g : M₁ →L[R₁] M₃) :
ker (f.prod g) = ker f ⊓ ker g :=
linear_map.ker_prod f g
/-- Restrict codomain of a continuous linear map. -/
def cod_restrict (f : M₁ →SL[σ₁₂] M₂) (p : submodule R₂ M₂) (h : ∀ x, f x ∈ p) :
M₁ →SL[σ₁₂] p :=
{ cont := f.continuous.subtype_mk _,
to_linear_map := (f : M₁ →ₛₗ[σ₁₂] M₂).cod_restrict p h}
@[norm_cast] lemma coe_cod_restrict (f : M₁ →SL[σ₁₂] M₂) (p : submodule R₂ M₂) (h : ∀ x, f x ∈ p) :
(f.cod_restrict p h : M₁ →ₛₗ[σ₁₂] p) = (f : M₁ →ₛₗ[σ₁₂] M₂).cod_restrict p h :=
rfl
@[simp] lemma coe_cod_restrict_apply (f : M₁ →SL[σ₁₂] M₂) (p : submodule R₂ M₂) (h : ∀ x, f x ∈ p)
(x) :
(f.cod_restrict p h x : M₂) = f x :=
rfl
@[simp] lemma ker_cod_restrict (f : M₁ →SL[σ₁₂] M₂) (p : submodule R₂ M₂) (h : ∀ x, f x ∈ p) :
ker (f.cod_restrict p h) = ker f :=
(f : M₁ →ₛₗ[σ₁₂] M₂).ker_cod_restrict p h
/-- `submodule.subtype` as a `continuous_linear_map`. -/
def _root_.submodule.subtypeL (p : submodule R₁ M₁) : p →L[R₁] M₁ :=
{ cont := continuous_subtype_val,
to_linear_map := p.subtype }
@[simp, norm_cast] lemma _root_.submodule.coe_subtypeL (p : submodule R₁ M₁) :
(p.subtypeL : p →ₗ[R₁] M₁) = p.subtype :=
rfl
@[simp] lemma _root_.submodule.coe_subtypeL' (p : submodule R₁ M₁) :
⇑p.subtypeL = p.subtype :=
rfl
@[simp, norm_cast] lemma _root_.submodule.subtypeL_apply (p : submodule R₁ M₁) (x : p) :
p.subtypeL x = x :=
rfl
@[simp] lemma _root_.submodule.range_subtypeL (p : submodule R₁ M₁) :
range p.subtypeL = p :=
submodule.range_subtype _
@[simp] lemma _root_.submodule.ker_subtypeL (p : submodule R₁ M₁) :
ker p.subtypeL = ⊥ :=
submodule.ker_subtype _
variables (R₁ M₁ M₂)
/-- `prod.fst` as a `continuous_linear_map`. -/
def fst [module R₁ M₂] : M₁ × M₂ →L[R₁] M₁ :=
{ cont := continuous_fst, to_linear_map := linear_map.fst R₁ M₁ M₂ }
/-- `prod.snd` as a `continuous_linear_map`. -/
def snd [module R₁ M₂] : M₁ × M₂ →L[R₁] M₂ :=
{ cont := continuous_snd, to_linear_map := linear_map.snd R₁ M₁ M₂ }
variables {R₁ M₁ M₂}
@[simp, norm_cast] lemma coe_fst [module R₁ M₂] : ↑(fst R₁ M₁ M₂) = linear_map.fst R₁ M₁ M₂ := rfl
@[simp, norm_cast] lemma coe_fst' [module R₁ M₂] : ⇑(fst R₁ M₁ M₂) = prod.fst := rfl
@[simp, norm_cast] lemma coe_snd [module R₁ M₂] : ↑(snd R₁ M₁ M₂) = linear_map.snd R₁ M₁ M₂ := rfl
@[simp, norm_cast] lemma coe_snd' [module R₁ M₂] : ⇑(snd R₁ M₁ M₂) = prod.snd := rfl
@[simp] lemma fst_prod_snd [module R₁ M₂] : (fst R₁ M₁ M₂).prod (snd R₁ M₁ M₂) = id R₁ (M₁ × M₂) :=
ext $ λ ⟨x, y⟩, rfl
@[simp] lemma fst_comp_prod [module R₁ M₂] [module R₁ M₃] (f : M₁ →L[R₁] M₂) (g : M₁ →L[R₁] M₃) :
(fst R₁ M₂ M₃).comp (f.prod g) = f :=
ext $ λ x, rfl
@[simp] lemma snd_comp_prod [module R₁ M₂] [module R₁ M₃] (f : M₁ →L[R₁] M₂) (g : M₁ →L[R₁] M₃) :
(snd R₁ M₂ M₃).comp (f.prod g) = g :=
ext $ λ x, rfl
/-- `prod.map` of two continuous linear maps. -/
def prod_map [module R₁ M₂] [module R₁ M₃] [module R₁ M₄] (f₁ : M₁ →L[R₁] M₂) (f₂ : M₃ →L[R₁] M₄) :
(M₁ × M₃) →L[R₁] (M₂ × M₄) :=
(f₁.comp (fst R₁ M₁ M₃)).prod (f₂.comp (snd R₁ M₁ M₃))
@[simp, norm_cast] lemma coe_prod_map [module R₁ M₂] [module R₁ M₃] [module R₁ M₄]
(f₁ : M₁ →L[R₁] M₂) (f₂ : M₃ →L[R₁] M₄) :
↑(f₁.prod_map f₂) = ((f₁ : M₁ →ₗ[R₁] M₂).prod_map (f₂ : M₃ →ₗ[R₁] M₄)) :=
rfl
@[simp, norm_cast] lemma coe_prod_map' [module R₁ M₂] [module R₁ M₃] [module R₁ M₄]
(f₁ : M₁ →L[R₁] M₂) (f₂ : M₃ →L[R₁] M₄) :
⇑(f₁.prod_map f₂) = prod.map f₁ f₂ :=
rfl
/-- The continuous linear map given by `(x, y) ↦ f₁ x + f₂ y`. -/
def coprod [module R₁ M₂] [module R₁ M₃] [has_continuous_add M₃] (f₁ : M₁ →L[R₁] M₃)
(f₂ : M₂ →L[R₁] M₃) :
(M₁ × M₂) →L[R₁] M₃ :=
⟨linear_map.coprod f₁ f₂, (f₁.cont.comp continuous_fst).add (f₂.cont.comp continuous_snd)⟩
@[norm_cast, simp] lemma coe_coprod [module R₁ M₂] [module R₁ M₃] [has_continuous_add M₃]
(f₁ : M₁ →L[R₁] M₃) (f₂ : M₂ →L[R₁] M₃) :
(f₁.coprod f₂ : (M₁ × M₂) →ₗ[R₁] M₃) = linear_map.coprod f₁ f₂ :=
rfl
@[simp] lemma coprod_apply [module R₁ M₂] [module R₁ M₃] [has_continuous_add M₃]
(f₁ : M₁ →L[R₁] M₃) (f₂ : M₂ →L[R₁] M₃) (x) :
f₁.coprod f₂ x = f₁ x.1 + f₂ x.2 := rfl
lemma range_coprod [module R₁ M₂] [module R₁ M₃] [has_continuous_add M₃] (f₁ : M₁ →L[R₁] M₃)
(f₂ : M₂ →L[R₁] M₃) :
range (f₁.coprod f₂) = range f₁ ⊔ range f₂ :=
linear_map.range_coprod _ _
lemma comp_fst_add_comp_snd [module R₁ M₂] [module R₁ M₃] [has_continuous_add M₃]
(f : M₁ →L[R₁] M₃) (g : M₂ →L[R₁] M₃) :
f.comp (continuous_linear_map.fst R₁ M₁ M₂) +
g.comp (continuous_linear_map.snd R₁ M₁ M₂) =
f.coprod g :=
rfl
lemma coprod_inl_inr [has_continuous_add M₁] [has_continuous_add M'₁] :
(continuous_linear_map.inl R₁ M₁ M'₁).coprod (continuous_linear_map.inr R₁ M₁ M'₁) =
continuous_linear_map.id R₁ (M₁ × M'₁) :=
by { apply coe_injective, apply linear_map.coprod_inl_inr }
section
variables {R S : Type*} [semiring R] [semiring S] [module R M₁] [module R M₂] [module R S]
[module S M₂] [is_scalar_tower R S M₂] [topological_space S] [has_continuous_smul S M₂]
/-- The linear map `λ x, c x • f`. Associates to a scalar-valued linear map and an element of
`M₂` the `M₂`-valued linear map obtained by multiplying the two (a.k.a. tensoring by `M₂`).
See also `continuous_linear_map.smul_rightₗ` and `continuous_linear_map.smul_rightL`. -/
def smul_right (c : M₁ →L[R] S) (f : M₂) : M₁ →L[R] M₂ :=
{ cont := c.2.smul continuous_const,
..c.to_linear_map.smul_right f }
@[simp]
lemma smul_right_apply {c : M₁ →L[R] S} {f : M₂} {x : M₁} :
(smul_right c f : M₁ → M₂) x = c x • f :=
rfl
end
variables [module R₁ M₂] [topological_space R₁] [has_continuous_smul R₁ M₂]
@[simp]
lemma smul_right_one_one (c : R₁ →L[R₁] M₂) : smul_right (1 : R₁ →L[R₁] R₁) (c 1) = c :=
by ext; simp [← continuous_linear_map.map_smul_of_tower]
@[simp]
lemma smul_right_one_eq_iff {f f' : M₂} :
smul_right (1 : R₁ →L[R₁] R₁) f = smul_right (1 : R₁ →L[R₁] R₁) f' ↔ f = f' :=
by simp only [ext_ring_iff, smul_right_apply, one_apply, one_smul]
lemma smul_right_comp [has_continuous_mul R₁] {x : M₂} {c : R₁} :
(smul_right (1 : R₁ →L[R₁] R₁) x).comp (smul_right (1 : R₁ →L[R₁] R₁) c) =
smul_right (1 : R₁ →L[R₁] R₁) (c • x) :=
by { ext, simp [mul_smul] }
section to_span_singleton
variables (R₁)
variables [has_continuous_smul R₁ M₁]
/-- Given an element `x` of a topological space `M` over a semiring `R`, the natural continuous
linear map from `R` to `M` by taking multiples of `x`.-/
def to_span_singleton (x : M₁) : R₁ →L[R₁] M₁ :=
{ to_linear_map := linear_map.to_span_singleton R₁ M₁ x,
cont := continuous_id.smul continuous_const }
lemma to_span_singleton_apply (x : M₁) (r : R₁) : to_span_singleton R₁ x r = r • x :=
rfl
lemma to_span_singleton_add [has_continuous_add M₁] (x y : M₁) :
to_span_singleton R₁ (x + y) = to_span_singleton R₁ x + to_span_singleton R₁ y :=
by { ext1, simp [to_span_singleton_apply], }
lemma to_span_singleton_smul' {α} [monoid α] [distrib_mul_action α M₁]
[has_continuous_const_smul α M₁]
[smul_comm_class R₁ α M₁] (c : α) (x : M₁) :
to_span_singleton R₁ (c • x) = c • to_span_singleton R₁ x :=
by { ext1, rw [to_span_singleton_apply, smul_apply, to_span_singleton_apply, smul_comm], }
/-- A special case of `to_span_singleton_smul'` for when `R` is commutative. -/
lemma to_span_singleton_smul (R) {M₁} [comm_semiring R] [add_comm_monoid M₁] [module R M₁]
[topological_space R] [topological_space M₁] [has_continuous_smul R M₁] (c : R) (x : M₁) :
to_span_singleton R (c • x) = c • to_span_singleton R x :=
to_span_singleton_smul' R c x
end to_span_singleton
end semiring
section pi
variables
{R : Type*} [semiring R]
{M : Type*} [topological_space M] [add_comm_monoid M] [module R M]
{M₂ : Type*} [topological_space M₂] [add_comm_monoid M₂] [module R M₂]
{ι : Type*} {φ : ι → Type*} [∀i, topological_space (φ i)] [∀i, add_comm_monoid (φ i)]
[∀i, module R (φ i)]
/-- `pi` construction for continuous linear functions. From a family of continuous linear functions
it produces a continuous linear function into a family of topological modules. -/
def pi (f : Πi, M →L[R] φ i) : M →L[R] (Πi, φ i) :=
⟨linear_map.pi (λ i, f i), continuous_pi (λ i, (f i).continuous)⟩
@[simp] lemma coe_pi' (f : Π i, M →L[R] φ i) : ⇑(pi f) = λ c i, f i c := rfl
@[simp] lemma coe_pi (f : Π i, M →L[R] φ i) :
(pi f : M →ₗ[R] Π i, φ i) = linear_map.pi (λ i, f i) :=
rfl
lemma pi_apply (f : Πi, M →L[R] φ i) (c : M) (i : ι) :
pi f c i = f i c := rfl
lemma pi_eq_zero (f : Πi, M →L[R] φ i) : pi f = 0 ↔ (∀i, f i = 0) :=
by { simp only [ext_iff, pi_apply, function.funext_iff], exact forall_swap }
lemma pi_zero : pi (λi, 0 : Πi, M →L[R] φ i) = 0 := ext $ λ _, rfl
lemma pi_comp (f : Πi, M →L[R] φ i) (g : M₂ →L[R] M) : (pi f).comp g = pi (λi, (f i).comp g) := rfl
/-- The projections from a family of topological modules are continuous linear maps. -/
def proj (i : ι) : (Πi, φ i) →L[R] φ i :=
⟨linear_map.proj i, continuous_apply _⟩
@[simp] lemma proj_apply (i : ι) (b : Πi, φ i) : (proj i : (Πi, φ i) →L[R] φ i) b = b i := rfl
lemma proj_pi (f : Πi, M₂ →L[R] φ i) (i : ι) : (proj i).comp (pi f) = f i :=
ext $ assume c, rfl
lemma infi_ker_proj : (⨅i, ker (proj i : (Πi, φ i) →L[R] φ i) :
submodule R (Πi, φ i)) = ⊥ :=
linear_map.infi_ker_proj
variables (R φ)
/-- If `I` and `J` are complementary index sets, the product of the kernels of the `J`th projections
of `φ` is linearly equivalent to the product over `I`. -/
def infi_ker_proj_equiv {I J : set ι} [decidable_pred (λi, i ∈ I)]
(hd : disjoint I J) (hu : set.univ ⊆ I ∪ J) :
(⨅i ∈ J, ker (proj i : (Πi, φ i) →L[R] φ i) :
submodule R (Πi, φ i)) ≃L[R] (Πi:I, φ i) :=
{ to_linear_equiv := linear_map.infi_ker_proj_equiv R φ hd hu,
continuous_to_fun := continuous_pi (λ i, begin
have := @continuous_subtype_coe _ _
(λ x, x ∈ (⨅i ∈ J, ker (proj i : (Πi, φ i) →L[R] φ i) : submodule R (Πi, φ i))),
have := continuous.comp (by exact continuous_apply i) this,
exact this
end),
continuous_inv_fun := continuous.subtype_mk (continuous_pi (λ i, begin
dsimp, split_ifs; [apply continuous_apply, exact continuous_zero]
end)) _ }
end pi
section ring
variables
{R : Type*} [ring R] {R₂ : Type*} [ring R₂] {R₃ : Type*} [ring R₃]
{M : Type*} [topological_space M] [add_comm_group M]
{M₂ : Type*} [topological_space M₂] [add_comm_group M₂]
{M₃ : Type*} [topological_space M₃] [add_comm_group M₃]
{M₄ : Type*} [topological_space M₄] [add_comm_group M₄]
[module R M] [module R₂ M₂] [module R₃ M₃]
{σ₁₂ : R →+* R₂} {σ₂₃ : R₂ →+* R₃} {σ₁₃ : R →+* R₃}
section
protected lemma map_neg (f : M →SL[σ₁₂] M₂) (x : M) : f (-x) = - (f x) := map_neg _ _
protected lemma map_sub (f : M →SL[σ₁₂] M₂) (x y : M) : f (x - y) = f x - f y := map_sub _ _ _
@[simp] lemma sub_apply' (f g : M →SL[σ₁₂] M₂) (x : M) : ((f : M →ₛₗ[σ₁₂] M₂) - g) x = f x - g x :=
rfl
end
section
variables [module R M₂] [module R M₃] [module R M₄]
lemma range_prod_eq {f : M →L[R] M₂} {g : M →L[R] M₃}
(h : ker f ⊔ ker g = ⊤) :
range (f.prod g) = (range f).prod (range g) :=
linear_map.range_prod_eq h
lemma ker_prod_ker_le_ker_coprod [has_continuous_add M₃]
(f : M →L[R] M₃) (g : M₂ →L[R] M₃) :
(linear_map.ker f).prod (linear_map.ker g) ≤ linear_map.ker (f.coprod g) :=
linear_map.ker_prod_ker_le_ker_coprod f.to_linear_map g.to_linear_map
lemma ker_coprod_of_disjoint_range [has_continuous_add M₃]
(f : M →L[R] M₃) (g : M₂ →L[R] M₃) (hd : disjoint (range f) (range g)) :
linear_map.ker (f.coprod g) = (linear_map.ker f).prod (linear_map.ker g) :=
linear_map.ker_coprod_of_disjoint_range f.to_linear_map g.to_linear_map hd
end
section
variables [topological_add_group M₂]
instance : has_neg (M →SL[σ₁₂] M₂) := ⟨λ f, ⟨-f, f.2.neg⟩⟩
@[simp] lemma neg_apply (f : M →SL[σ₁₂] M₂) (x : M) : (-f) x = - (f x) := rfl
@[simp, norm_cast] lemma coe_neg (f : M →SL[σ₁₂] M₂) : (↑(-f) : M →ₛₗ[σ₁₂] M₂) = -f := rfl
@[norm_cast] lemma coe_neg' (f : M →SL[σ₁₂] M₂) : ⇑(-f) = -f := rfl
instance : has_sub (M →SL[σ₁₂] M₂) := ⟨λ f g, ⟨f - g, f.2.sub g.2⟩⟩
instance : add_comm_group (M →SL[σ₁₂] M₂) :=
by refine
{ zero := 0,
add := (+),
neg := has_neg.neg,
sub := has_sub.sub,
sub_eq_add_neg := _,
nsmul := (•),
zsmul := (•),
zsmul_zero' := λ f, by { ext, simp },
zsmul_succ' := λ n f, by { ext, simp [add_smul, add_comm] },
zsmul_neg' := λ n f, by { ext, simp [nat.succ_eq_add_one, add_smul] },
.. continuous_linear_map.add_comm_monoid, .. };
intros; ext; apply_rules [zero_add, add_assoc, add_zero, add_left_neg, add_comm, sub_eq_add_neg]
lemma sub_apply (f g : M →SL[σ₁₂] M₂) (x : M) : (f - g) x = f x - g x := rfl
@[simp, norm_cast] lemma coe_sub (f g : M →SL[σ₁₂] M₂) : (↑(f - g) : M →ₛₗ[σ₁₂] M₂) = f - g := rfl
@[simp, norm_cast] lemma coe_sub' (f g : M →SL[σ₁₂] M₂) : ⇑(f - g) = f - g := rfl
end
@[simp] lemma comp_neg [ring_hom_comp_triple σ₁₂ σ₂₃ σ₁₃] [topological_add_group M₂]
[topological_add_group M₃] (g : M₂ →SL[σ₂₃] M₃) (f : M →SL[σ₁₂] M₂) :
g.comp (-f) = -g.comp f :=
by { ext, simp }
@[simp] lemma neg_comp [ring_hom_comp_triple σ₁₂ σ₂₃ σ₁₃] [topological_add_group M₃]
(g : M₂ →SL[σ₂₃] M₃) (f : M →SL[σ₁₂] M₂) :
(-g).comp f = -g.comp f :=
by { ext, simp }
@[simp] lemma comp_sub [ring_hom_comp_triple σ₁₂ σ₂₃ σ₁₃] [topological_add_group M₂]
[topological_add_group M₃] (g : M₂ →SL[σ₂₃] M₃) (f₁ f₂ : M →SL[σ₁₂] M₂) :
g.comp (f₁ - f₂) = g.comp f₁ - g.comp f₂ :=
by { ext, simp }
@[simp] lemma sub_comp [ring_hom_comp_triple σ₁₂ σ₂₃ σ₁₃] [topological_add_group M₃]
(g₁ g₂ : M₂ →SL[σ₂₃] M₃) (f : M →SL[σ₁₂] M₂) :
(g₁ - g₂).comp f = g₁.comp f - g₂.comp f :=
by { ext, simp }
instance [topological_add_group M] : ring (M →L[R] M) :=
{ mul := (*),
one := 1,
..continuous_linear_map.semiring,
..continuous_linear_map.add_comm_group }
lemma smul_right_one_pow [topological_space R] [topological_ring R] (c : R) (n : ℕ) :
(smul_right (1 : R →L[R] R) c)^n = smul_right (1 : R →L[R] R) (c^n) :=
begin
induction n with n ihn,
{ ext, simp },
{ rw [pow_succ, ihn, mul_def, smul_right_comp, smul_eq_mul, pow_succ'] }
end
section
variables {σ₂₁ : R₂ →+* R} [ring_hom_inv_pair σ₁₂ σ₂₁]
/-- Given a right inverse `f₂ : M₂ →L[R] M` to `f₁ : M →L[R] M₂`,
`proj_ker_of_right_inverse f₁ f₂ h` is the projection `M →L[R] f₁.ker` along `f₂.range`. -/
def proj_ker_of_right_inverse [topological_add_group M] (f₁ : M →SL[σ₁₂] M₂) (f₂ : M₂ →SL[σ₂₁] M)
(h : function.right_inverse f₂ f₁) :
M →L[R] (linear_map.ker f₁) :=
(id R M - f₂.comp f₁).cod_restrict (linear_map.ker f₁) $ λ x, by simp [h (f₁ x)]
@[simp] lemma coe_proj_ker_of_right_inverse_apply [topological_add_group M]
(f₁ : M →SL[σ₁₂] M₂) (f₂ : M₂ →SL[σ₂₁] M) (h : function.right_inverse f₂ f₁) (x : M) :
(f₁.proj_ker_of_right_inverse f₂ h x : M) = x - f₂ (f₁ x) :=
rfl
@[simp] lemma proj_ker_of_right_inverse_apply_idem [topological_add_group M]
(f₁ : M →SL[σ₁₂] M₂) (f₂ : M₂ →SL[σ₂₁] M) (h : function.right_inverse f₂ f₁)
(x : linear_map.ker f₁) : f₁.proj_ker_of_right_inverse f₂ h x = x :=
subtype.ext_iff_val.2 $ by simp
@[simp] lemma proj_ker_of_right_inverse_comp_inv [topological_add_group M]
(f₁ : M →SL[σ₁₂] M₂) (f₂ : M₂ →SL[σ₂₁] M) (h : function.right_inverse f₂ f₁) (y : M₂) :
f₁.proj_ker_of_right_inverse f₂ h (f₂ y) = 0 :=
subtype.ext_iff_val.2 $ by simp [h y]
end
end ring
section division_monoid
variables {R M : Type*}
/-- A nonzero continuous linear functional is open. -/
protected lemma is_open_map_of_ne_zero [topological_space R] [division_ring R]
[has_continuous_sub R] [add_comm_group M] [topological_space M] [has_continuous_add M]
[module R M] [has_continuous_smul R M] (f : M →L[R] R) (hf : f ≠ 0) : is_open_map f :=
let ⟨x, hx⟩ := exists_ne_zero hf in is_open_map.of_sections $ λ y,
⟨λ a, y + (a - f y) • (f x)⁻¹ • x, continuous.continuous_at $ by continuity,
by simp, λ a, by simp [hx]⟩
end division_monoid
section smul_monoid
-- The M's are used for semilinear maps, and the N's for plain linear maps
variables {R R₂ R₃ S S₃ : Type*} [semiring R] [semiring R₂] [semiring R₃]
[monoid S] [monoid S₃]
{M : Type*} [topological_space M] [add_comm_monoid M] [module R M]
{M₂ : Type*} [topological_space M₂] [add_comm_monoid M₂] [module R₂ M₂]
{M₃ : Type*} [topological_space M₃] [add_comm_monoid M₃] [module R₃ M₃]
{N₂ : Type*} [topological_space N₂] [add_comm_monoid N₂] [module R N₂]
{N₃ : Type*} [topological_space N₃] [add_comm_monoid N₃] [module R N₃]
[distrib_mul_action S₃ M₃] [smul_comm_class R₃ S₃ M₃] [has_continuous_const_smul S₃ M₃]
[distrib_mul_action S N₃] [smul_comm_class R S N₃] [has_continuous_const_smul S N₃]
{σ₁₂ : R →+* R₂} {σ₂₃ : R₂ →+* R₃} {σ₁₃ : R →+* R₃} [ring_hom_comp_triple σ₁₂ σ₂₃ σ₁₃]
include σ₁₃
@[simp] lemma smul_comp (c : S₃) (h : M₂ →SL[σ₂₃] M₃) (f : M →SL[σ₁₂] M₂) :
(c • h).comp f = c • (h.comp f) := rfl
omit σ₁₃
variables [distrib_mul_action S₃ M₂] [has_continuous_const_smul S₃ M₂] [smul_comm_class R₂ S₃ M₂]
variables [distrib_mul_action S N₂] [has_continuous_const_smul S N₂] [smul_comm_class R S N₂]
@[simp] lemma comp_smul [linear_map.compatible_smul N₂ N₃ S R]
(hₗ : N₂ →L[R] N₃) (c : S) (fₗ : M →L[R] N₂) :
hₗ.comp (c • fₗ) = c • (hₗ.comp fₗ) :=
by { ext x, exact hₗ.map_smul_of_tower c (fₗ x) }
include σ₁₃
@[simp] lemma comp_smulₛₗ [smul_comm_class R₂ R₂ M₂] [smul_comm_class R₃ R₃ M₃]
[has_continuous_const_smul R₂ M₂] [has_continuous_const_smul R₃ M₃]
(h : M₂ →SL[σ₂₃] M₃) (c : R₂) (f : M →SL[σ₁₂] M₂) :
h.comp (c • f) = (σ₂₃ c) • (h.comp f) :=
by { ext x, simp only [coe_smul', coe_comp', function.comp_app, pi.smul_apply,
continuous_linear_map.map_smulₛₗ] }
omit σ₁₃
instance [has_continuous_add M₂] : distrib_mul_action S₃ (M →SL[σ₁₂] M₂) :=
{ smul_add := λ a f g, ext $ λ x, smul_add a (f x) (g x),
smul_zero := λ a, ext $ λ x, smul_zero _ }
end smul_monoid
section smul
-- The M's are used for semilinear maps, and the N's for plain linear maps
variables {R R₂ R₃ S S₃ : Type*} [semiring R] [semiring R₂] [semiring R₃]
[semiring S] [semiring S₃]
{M : Type*} [topological_space M] [add_comm_monoid M] [module R M]
{M₂ : Type*} [topological_space M₂] [add_comm_monoid M₂] [module R₂ M₂]
{M₃ : Type*} [topological_space M₃] [add_comm_monoid M₃] [module R₃ M₃]
{N₂ : Type*} [topological_space N₂] [add_comm_monoid N₂] [module R N₂]
{N₃ : Type*} [topological_space N₃] [add_comm_monoid N₃] [module R N₃]
[module S₃ M₃] [smul_comm_class R₃ S₃ M₃] [has_continuous_const_smul S₃ M₃]
[module S N₂] [has_continuous_const_smul S N₂] [smul_comm_class R S N₂]
[module S N₃] [smul_comm_class R S N₃] [has_continuous_const_smul S N₃]
{σ₁₂ : R →+* R₂} {σ₂₃ : R₂ →+* R₃} {σ₁₃ : R →+* R₃} [ring_hom_comp_triple σ₁₂ σ₂₃ σ₁₃]
(c : S) (h : M₂ →SL[σ₂₃] M₃) (f g : M →SL[σ₁₂] M₂) (x y z : M)
/-- `continuous_linear_map.prod` as an `equiv`. -/
@[simps apply] def prod_equiv : ((M →L[R] N₂) × (M →L[R] N₃)) ≃ (M →L[R] N₂ × N₃) :=
{ to_fun := λ f, f.1.prod f.2,
inv_fun := λ f, ⟨(fst _ _ _).comp f, (snd _ _ _).comp f⟩,
left_inv := λ f, by ext; refl,
right_inv := λ f, by ext; refl }
lemma prod_ext_iff {f g : M × N₂ →L[R] N₃} :
f = g ↔ f.comp (inl _ _ _) = g.comp (inl _ _ _) ∧ f.comp (inr _ _ _) = g.comp (inr _ _ _) :=
by { simp only [← coe_inj, linear_map.prod_ext_iff], refl }
@[ext] lemma prod_ext {f g : M × N₂ →L[R] N₃} (hl : f.comp (inl _ _ _) = g.comp (inl _ _ _))
(hr : f.comp (inr _ _ _) = g.comp (inr _ _ _)) : f = g :=
prod_ext_iff.2 ⟨hl, hr⟩
variables [has_continuous_add M₂] [has_continuous_add M₃] [has_continuous_add N₂]
instance : module S₃ (M →SL[σ₁₃] M₃) :=
{ zero_smul := λ _, ext $ λ _, zero_smul _ _,
add_smul := λ _ _ _, ext $ λ _, add_smul _ _ _ }
instance [module S₃ᵐᵒᵖ M₃] [is_central_scalar S₃ M₃] : is_central_scalar S₃ (M →SL[σ₁₃] M₃) :=
{ op_smul_eq_smul := λ _ _, ext $ λ _, op_smul_eq_smul _ _ }
variables (S) [has_continuous_add N₃]
/-- `continuous_linear_map.prod` as a `linear_equiv`. -/
@[simps apply] def prodₗ : ((M →L[R] N₂) × (M →L[R] N₃)) ≃ₗ[S] (M →L[R] N₂ × N₃) :=
{ map_add' := λ f g, rfl,
map_smul' := λ c f, rfl,
.. prod_equiv }
/-- The coercion from `M →L[R] M₂` to `M →ₗ[R] M₂`, as a linear map. -/
@[simps]
def coe_lm : (M →L[R] N₃) →ₗ[S] (M →ₗ[R] N₃) :=
{ to_fun := coe,
map_add' := λ f g, coe_add f g,
map_smul' := λ c f, coe_smul c f }
variables {S} (σ₁₃)
/-- The coercion from `M →SL[σ] M₂` to `M →ₛₗ[σ] M₂`, as a linear map. -/
@[simps]
def coe_lmₛₗ : (M →SL[σ₁₃] M₃) →ₗ[S₃] (M →ₛₗ[σ₁₃] M₃) :=
{ to_fun := coe,
map_add' := λ f g, coe_add f g,
map_smul' := λ c f, coe_smul c f }
variables {σ₁₃}
end smul
section smul_rightₗ
variables {R S T M M₂ : Type*} [semiring R] [semiring S] [semiring T] [module R S]
[add_comm_monoid M₂] [module R M₂] [module S M₂] [is_scalar_tower R S M₂]
[topological_space S] [topological_space M₂] [has_continuous_smul S M₂]
[topological_space M] [add_comm_monoid M] [module R M] [has_continuous_add M₂]
[module T M₂] [has_continuous_const_smul T M₂]
[smul_comm_class R T M₂] [smul_comm_class S T M₂]
/-- Given `c : E →L[𝕜] 𝕜`, `c.smul_rightₗ` is the linear map from `F` to `E →L[𝕜] F`
sending `f` to `λ e, c e • f`. See also `continuous_linear_map.smul_rightL`. -/
def smul_rightₗ (c : M →L[R] S) : M₂ →ₗ[T] (M →L[R] M₂) :=
{ to_fun := c.smul_right,
map_add' := λ x y, by { ext e, apply smul_add },
map_smul' := λ a x, by { ext e, dsimp, apply smul_comm } }
@[simp] lemma coe_smul_rightₗ (c : M →L[R] S) :
⇑(smul_rightₗ c : M₂ →ₗ[T] (M →L[R] M₂)) = c.smul_right := rfl
end smul_rightₗ
section comm_ring
variables
{R : Type*} [comm_ring R]
{M : Type*} [topological_space M] [add_comm_group M]
{M₂ : Type*} [topological_space M₂] [add_comm_group M₂]
{M₃ : Type*} [topological_space M₃] [add_comm_group M₃]
[module R M] [module R M₂] [module R M₃] [has_continuous_const_smul R M₃]
variables [topological_add_group M₂] [has_continuous_const_smul R M₂]
instance : algebra R (M₂ →L[R] M₂) :=
algebra.of_module smul_comp (λ _ _ _, comp_smul _ _ _)
end comm_ring
section restrict_scalars
variables {A M M₂ : Type*} [ring A] [add_comm_group M] [add_comm_group M₂]
[module A M] [module A M₂] [topological_space M] [topological_space M₂]
(R : Type*) [ring R] [module R M] [module R M₂] [linear_map.compatible_smul M M₂ R A]
/-- If `A` is an `R`-algebra, then a continuous `A`-linear map can be interpreted as a continuous
`R`-linear map. We assume `linear_map.compatible_smul M M₂ R A` to match assumptions of
`linear_map.map_smul_of_tower`. -/
def restrict_scalars (f : M →L[A] M₂) : M →L[R] M₂ :=
⟨(f : M →ₗ[A] M₂).restrict_scalars R, f.continuous⟩
variable {R}
@[simp, norm_cast] lemma coe_restrict_scalars (f : M →L[A] M₂) :
(f.restrict_scalars R : M →ₗ[R] M₂) = (f : M →ₗ[A] M₂).restrict_scalars R := rfl
@[simp] lemma coe_restrict_scalars' (f : M →L[A] M₂) : ⇑(f.restrict_scalars R) = f := rfl
@[simp] lemma restrict_scalars_zero : (0 : M →L[A] M₂).restrict_scalars R = 0 := rfl
section
variable [topological_add_group M₂]
@[simp] lemma restrict_scalars_add (f g : M →L[A] M₂) :
(f + g).restrict_scalars R = f.restrict_scalars R + g.restrict_scalars R := rfl
@[simp] lemma restrict_scalars_neg (f : M →L[A] M₂) :
(-f).restrict_scalars R = -f.restrict_scalars R := rfl
end
variables {S : Type*} [ring S] [module S M₂] [has_continuous_const_smul S M₂]
[smul_comm_class A S M₂] [smul_comm_class R S M₂]
@[simp] lemma restrict_scalars_smul (c : S) (f : M →L[A] M₂) :
(c • f).restrict_scalars R = c • f.restrict_scalars R := rfl
variables (A M M₂ R S) [topological_add_group M₂]
/-- `continuous_linear_map.restrict_scalars` as a `linear_map`. See also
`continuous_linear_map.restrict_scalarsL`. -/
def restrict_scalarsₗ : (M →L[A] M₂) →ₗ[S] (M →L[R] M₂) :=
{ to_fun := restrict_scalars R,
map_add' := restrict_scalars_add,
map_smul' := restrict_scalars_smul }
variables {A M M₂ R S}
@[simp] lemma coe_restrict_scalarsₗ : ⇑(restrict_scalarsₗ A M M₂ R S) = restrict_scalars R := rfl
end restrict_scalars
end continuous_linear_map
namespace continuous_linear_equiv
section add_comm_monoid
variables {R₁ : Type*} {R₂ : Type*} {R₃ : Type*} [semiring R₁] [semiring R₂] [semiring R₃]
{σ₁₂ : R₁ →+* R₂} {σ₂₁ : R₂ →+* R₁} [ring_hom_inv_pair σ₁₂ σ₂₁] [ring_hom_inv_pair σ₂₁ σ₁₂]
{σ₂₃ : R₂ →+* R₃} {σ₃₂ : R₃ →+* R₂} [ring_hom_inv_pair σ₂₃ σ₃₂] [ring_hom_inv_pair σ₃₂ σ₂₃]
{σ₁₃ : R₁ →+* R₃} {σ₃₁ : R₃ →+* R₁} [ring_hom_inv_pair σ₁₃ σ₃₁] [ring_hom_inv_pair σ₃₁ σ₁₃]
[ring_hom_comp_triple σ₁₂ σ₂₃ σ₁₃] [ring_hom_comp_triple σ₃₂ σ₂₁ σ₃₁]
{M₁ : Type*} [topological_space M₁] [add_comm_monoid M₁]
{M'₁ : Type*} [topological_space M'₁] [add_comm_monoid M'₁]
{M₂ : Type*} [topological_space M₂] [add_comm_monoid M₂]
{M₃ : Type*} [topological_space M₃] [add_comm_monoid M₃]
{M₄ : Type*} [topological_space M₄] [add_comm_monoid M₄]
[module R₁ M₁] [module R₁ M'₁] [module R₂ M₂] [module R₃ M₃]
include σ₂₁
/-- A continuous linear equivalence induces a continuous linear map. -/
def to_continuous_linear_map (e : M₁ ≃SL[σ₁₂] M₂) : M₁ →SL[σ₁₂] M₂ :=
{ cont := e.continuous_to_fun,
..e.to_linear_equiv.to_linear_map }
/-- Coerce continuous linear equivs to continuous linear maps. -/
instance : has_coe (M₁ ≃SL[σ₁₂] M₂) (M₁ →SL[σ₁₂] M₂) := ⟨to_continuous_linear_map⟩
instance : continuous_semilinear_equiv_class (M₁ ≃SL[σ₁₂] M₂) σ₁₂ M₁ M₂ :=
{ coe := λ f, f,
inv := λ f, f.inv_fun,
coe_injective' := λ f g h₁ h₂, by { cases f with f' _, cases g with g' _, cases f', cases g',
congr' },
left_inv := λ f, f.left_inv,
right_inv := λ f, f.right_inv,
map_add := λ f, f.map_add',
map_smulₛₗ := λ f, f.map_smul',
map_continuous := continuous_to_fun,
inv_continuous := continuous_inv_fun }
/-- Coerce continuous linear equivs to maps. -/
-- see Note [function coercion]
instance : has_coe_to_fun (M₁ ≃SL[σ₁₂] M₂) (λ _, M₁ → M₂) := ⟨λ f, f⟩
@[simp] theorem coe_def_rev (e : M₁ ≃SL[σ₁₂] M₂) : e.to_continuous_linear_map = e := rfl
theorem coe_apply (e : M₁ ≃SL[σ₁₂] M₂) (b : M₁) : (e : M₁ →SL[σ₁₂] M₂) b = e b := rfl
@[simp] lemma coe_to_linear_equiv (f : M₁ ≃SL[σ₁₂] M₂) : ⇑f.to_linear_equiv = f := rfl
@[simp, norm_cast] lemma coe_coe (e : M₁ ≃SL[σ₁₂] M₂) : ⇑(e : M₁ →SL[σ₁₂] M₂) = e := rfl
lemma to_linear_equiv_injective :
function.injective (to_linear_equiv : (M₁ ≃SL[σ₁₂] M₂) → (M₁ ≃ₛₗ[σ₁₂] M₂))
| ⟨e, _, _⟩ ⟨e', _, _⟩ rfl := rfl
@[ext] lemma ext {f g : M₁ ≃SL[σ₁₂] M₂} (h : (f : M₁ → M₂) = g) : f = g :=
to_linear_equiv_injective $ linear_equiv.ext $ congr_fun h
lemma coe_injective : function.injective (coe : (M₁ ≃SL[σ₁₂] M₂) → (M₁ →SL[σ₁₂] M₂)) :=
λ e e' h, ext $ funext $ continuous_linear_map.ext_iff.1 h
@[simp, norm_cast] lemma coe_inj {e e' : M₁ ≃SL[σ₁₂] M₂} : (e : M₁ →SL[σ₁₂] M₂) = e' ↔ e = e' :=
coe_injective.eq_iff
/-- A continuous linear equivalence induces a homeomorphism. -/
def to_homeomorph (e : M₁ ≃SL[σ₁₂] M₂) : M₁ ≃ₜ M₂ := { to_equiv := e.to_linear_equiv.to_equiv, ..e }
@[simp] lemma coe_to_homeomorph (e : M₁ ≃SL[σ₁₂] M₂) : ⇑e.to_homeomorph = e := rfl
lemma image_closure (e : M₁ ≃SL[σ₁₂] M₂) (s : set M₁) : e '' closure s = closure (e '' s) :=
e.to_homeomorph.image_closure s
lemma preimage_closure (e : M₁ ≃SL[σ₁₂] M₂) (s : set M₂) : e ⁻¹' closure s = closure (e ⁻¹' s) :=
e.to_homeomorph.preimage_closure s
@[simp] lemma is_closed_image (e : M₁ ≃SL[σ₁₂] M₂) {s : set M₁} :
is_closed (e '' s) ↔ is_closed s :=
e.to_homeomorph.is_closed_image
lemma map_nhds_eq (e : M₁ ≃SL[σ₁₂] M₂) (x : M₁) : map e (𝓝 x) = 𝓝 (e x) :=
e.to_homeomorph.map_nhds_eq x
-- Make some straightforward lemmas available to `simp`.
@[simp] lemma map_zero (e : M₁ ≃SL[σ₁₂] M₂) : e (0 : M₁) = 0 := (e : M₁ →SL[σ₁₂] M₂).map_zero
@[simp] lemma map_add (e : M₁ ≃SL[σ₁₂] M₂) (x y : M₁) : e (x + y) = e x + e y :=
(e : M₁ →SL[σ₁₂] M₂).map_add x y
@[simp] lemma map_smulₛₗ (e : M₁ ≃SL[σ₁₂] M₂) (c : R₁) (x : M₁) : e (c • x) = σ₁₂ c • (e x) :=
(e : M₁ →SL[σ₁₂] M₂).map_smulₛₗ c x
omit σ₂₁
@[simp] lemma map_smul [module R₁ M₂] (e : M₁ ≃L[R₁] M₂) (c : R₁) (x : M₁) :
e (c • x) = c • (e x) :=
(e : M₁ →L[R₁] M₂).map_smul c x
include σ₂₁
@[simp] lemma map_eq_zero_iff (e : M₁ ≃SL[σ₁₂] M₂) {x : M₁} : e x = 0 ↔ x = 0 :=
e.to_linear_equiv.map_eq_zero_iff
attribute [continuity]
continuous_linear_equiv.continuous_to_fun continuous_linear_equiv.continuous_inv_fun
@[continuity]
protected lemma continuous (e : M₁ ≃SL[σ₁₂] M₂) : continuous (e : M₁ → M₂) :=
e.continuous_to_fun
protected lemma continuous_on (e : M₁ ≃SL[σ₁₂] M₂) {s : set M₁} : continuous_on (e : M₁ → M₂) s :=
e.continuous.continuous_on
protected lemma continuous_at (e : M₁ ≃SL[σ₁₂] M₂) {x : M₁} : continuous_at (e : M₁ → M₂) x :=
e.continuous.continuous_at
protected lemma continuous_within_at (e : M₁ ≃SL[σ₁₂] M₂) {s : set M₁} {x : M₁} :
continuous_within_at (e : M₁ → M₂) s x :=
e.continuous.continuous_within_at
lemma comp_continuous_on_iff
{α : Type*} [topological_space α] (e : M₁ ≃SL[σ₁₂] M₂) {f : α → M₁} {s : set α} :
continuous_on (e ∘ f) s ↔ continuous_on f s :=
e.to_homeomorph.comp_continuous_on_iff _ _
lemma comp_continuous_iff
{α : Type*} [topological_space α] (e : M₁ ≃SL[σ₁₂] M₂) {f : α → M₁} :
continuous (e ∘ f) ↔ continuous f :=
e.to_homeomorph.comp_continuous_iff
omit σ₂₁
/-- An extensionality lemma for `R ≃L[R] M`. -/
lemma ext₁ [topological_space R₁] {f g : R₁ ≃L[R₁] M₁} (h : f 1 = g 1) : f = g :=
ext $ funext $ λ x, mul_one x ▸ by rw [← smul_eq_mul, map_smul, h, map_smul]
section
variables (R₁ M₁)
/-- The identity map as a continuous linear equivalence. -/
@[refl] protected def refl : M₁ ≃L[R₁] M₁ :=
{ continuous_to_fun := continuous_id,
continuous_inv_fun := continuous_id,
.. linear_equiv.refl R₁ M₁ }
end
@[simp, norm_cast] lemma coe_refl :
↑(continuous_linear_equiv.refl R₁ M₁) = continuous_linear_map.id R₁ M₁ := rfl
@[simp, norm_cast] lemma coe_refl' : ⇑(continuous_linear_equiv.refl R₁ M₁) = id := rfl
/-- The inverse of a continuous linear equivalence as a continuous linear equivalence-/
@[symm] protected def symm (e : M₁ ≃SL[σ₁₂] M₂) : M₂ ≃SL[σ₂₁] M₁ :=
{ continuous_to_fun := e.continuous_inv_fun,
continuous_inv_fun := e.continuous_to_fun,
.. e.to_linear_equiv.symm }
include σ₂₁
@[simp] lemma symm_to_linear_equiv (e : M₁ ≃SL[σ₁₂] M₂) :
e.symm.to_linear_equiv = e.to_linear_equiv.symm :=
by { ext, refl }
@[simp] lemma symm_to_homeomorph (e : M₁ ≃SL[σ₁₂] M₂) :
e.to_homeomorph.symm = e.symm.to_homeomorph :=
rfl
/-- See Note [custom simps projection]. We need to specify this projection explicitly in this case,
because it is a composition of multiple projections. -/
def simps.apply (h : M₁ ≃SL[σ₁₂] M₂) : M₁ → M₂ := h
/-- See Note [custom simps projection] -/
def simps.symm_apply (h : M₁ ≃SL[σ₁₂] M₂) : M₂ → M₁ := h.symm
initialize_simps_projections continuous_linear_equiv
(to_linear_equiv_to_fun → apply, to_linear_equiv_inv_fun → symm_apply)
lemma symm_map_nhds_eq (e : M₁ ≃SL[σ₁₂] M₂) (x : M₁) : map e.symm (𝓝 (e x)) = 𝓝 x :=
e.to_homeomorph.symm_map_nhds_eq x
omit σ₂₁
include σ₂₁ σ₃₂ σ₃₁
/-- The composition of two continuous linear equivalences as a continuous linear equivalence. -/
@[trans] protected def trans (e₁ : M₁ ≃SL[σ₁₂] M₂) (e₂ : M₂ ≃SL[σ₂₃] M₃) : M₁ ≃SL[σ₁₃] M₃ :=
{ continuous_to_fun := e₂.continuous_to_fun.comp e₁.continuous_to_fun,
continuous_inv_fun := e₁.continuous_inv_fun.comp e₂.continuous_inv_fun,
.. e₁.to_linear_equiv.trans e₂.to_linear_equiv }
include σ₁₃
@[simp] lemma trans_to_linear_equiv (e₁ : M₁ ≃SL[σ₁₂] M₂) (e₂ : M₂ ≃SL[σ₂₃] M₃) :
(e₁.trans e₂).to_linear_equiv = e₁.to_linear_equiv.trans e₂.to_linear_equiv :=
by { ext, refl }
omit σ₁₃ σ₂₁ σ₃₂ σ₃₁
/-- Product of two continuous linear equivalences. The map comes from `equiv.prod_congr`. -/
def prod [module R₁ M₂] [module R₁ M₃] [module R₁ M₄] (e : M₁ ≃L[R₁] M₂) (e' : M₃ ≃L[R₁] M₄) :
(M₁ × M₃) ≃L[R₁] (M₂ × M₄) :=
{ continuous_to_fun := e.continuous_to_fun.prod_map e'.continuous_to_fun,
continuous_inv_fun := e.continuous_inv_fun.prod_map e'.continuous_inv_fun,
.. e.to_linear_equiv.prod e'.to_linear_equiv }
@[simp, norm_cast] lemma prod_apply [module R₁ M₂] [module R₁ M₃] [module R₁ M₄] (e : M₁ ≃L[R₁] M₂)
(e' : M₃ ≃L[R₁] M₄) (x) :
e.prod e' x = (e x.1, e' x.2) := rfl
@[simp, norm_cast] lemma coe_prod [module R₁ M₂] [module R₁ M₃] [module R₁ M₄] (e : M₁ ≃L[R₁] M₂)
(e' : M₃ ≃L[R₁] M₄) :
(e.prod e' : (M₁ × M₃) →L[R₁] (M₂ × M₄)) = (e : M₁ →L[R₁] M₂).prod_map (e' : M₃ →L[R₁] M₄) :=
rfl
lemma prod_symm [module R₁ M₂] [module R₁ M₃] [module R₁ M₄]
(e : M₁ ≃L[R₁] M₂) (e' : M₃ ≃L[R₁] M₄) :
(e.prod e').symm = e.symm.prod e'.symm :=
rfl
include σ₂₁
protected theorem bijective (e : M₁ ≃SL[σ₁₂] M₂) : function.bijective e :=
e.to_linear_equiv.to_equiv.bijective
protected theorem injective (e : M₁ ≃SL[σ₁₂] M₂) : function.injective e :=
e.to_linear_equiv.to_equiv.injective
protected theorem surjective (e : M₁ ≃SL[σ₁₂] M₂) : function.surjective e :=
e.to_linear_equiv.to_equiv.surjective
include σ₃₂ σ₃₁ σ₁₃
@[simp] theorem trans_apply (e₁ : M₁ ≃SL[σ₁₂] M₂) (e₂ : M₂ ≃SL[σ₂₃] M₃) (c : M₁) :
(e₁.trans e₂) c = e₂ (e₁ c) :=
rfl
omit σ₃₂ σ₃₁ σ₁₃
@[simp] theorem apply_symm_apply (e : M₁ ≃SL[σ₁₂] M₂) (c : M₂) : e (e.symm c) = c :=
e.1.right_inv c
@[simp] theorem symm_apply_apply (e : M₁ ≃SL[σ₁₂] M₂) (b : M₁) : e.symm (e b) = b := e.1.left_inv b
include σ₁₂ σ₂₃ σ₁₃ σ₃₁
@[simp] theorem symm_trans_apply (e₁ : M₂ ≃SL[σ₂₁] M₁) (e₂ : M₃ ≃SL[σ₃₂] M₂) (c : M₁) :
(e₂.trans e₁).symm c = e₂.symm (e₁.symm c) :=
rfl
omit σ₁₂ σ₂₃ σ₁₃ σ₃₁
@[simp] theorem symm_image_image (e : M₁ ≃SL[σ₁₂] M₂) (s : set M₁) : e.symm '' (e '' s) = s :=
e.to_linear_equiv.to_equiv.symm_image_image s
@[simp] theorem image_symm_image (e : M₁ ≃SL[σ₁₂] M₂) (s : set M₂) : e '' (e.symm '' s) = s :=
e.symm.symm_image_image s
include σ₃₂ σ₃₁
@[simp, norm_cast]
lemma comp_coe (f : M₁ ≃SL[σ₁₂] M₂) (f' : M₂ ≃SL[σ₂₃] M₃) :
(f' : M₂ →SL[σ₂₃] M₃).comp (f : M₁ →SL[σ₁₂] M₂) = (f.trans f' : M₁ →SL[σ₁₃] M₃) :=
rfl
omit σ₃₂ σ₃₁ σ₂₁
@[simp] theorem coe_comp_coe_symm (e : M₁ ≃SL[σ₁₂] M₂) :
(e : M₁ →SL[σ₁₂] M₂).comp (e.symm : M₂ →SL[σ₂₁] M₁) = continuous_linear_map.id R₂ M₂ :=
continuous_linear_map.ext e.apply_symm_apply
@[simp] theorem coe_symm_comp_coe (e : M₁ ≃SL[σ₁₂] M₂) :
(e.symm : M₂ →SL[σ₂₁] M₁).comp (e : M₁ →SL[σ₁₂] M₂) = continuous_linear_map.id R₁ M₁ :=
continuous_linear_map.ext e.symm_apply_apply
include σ₂₁
@[simp] lemma symm_comp_self (e : M₁ ≃SL[σ₁₂] M₂) :
(e.symm : M₂ → M₁) ∘ (e : M₁ → M₂) = id :=
by{ ext x, exact symm_apply_apply e x }
@[simp] lemma self_comp_symm (e : M₁ ≃SL[σ₁₂] M₂) :
(e : M₁ → M₂) ∘ (e.symm : M₂ → M₁) = id :=
by{ ext x, exact apply_symm_apply e x }
@[simp] theorem symm_symm (e : M₁ ≃SL[σ₁₂] M₂) : e.symm.symm = e :=
by { ext x, refl }
omit σ₂₁
@[simp] lemma refl_symm :
(continuous_linear_equiv.refl R₁ M₁).symm = continuous_linear_equiv.refl R₁ M₁ :=
rfl
include σ₂₁
theorem symm_symm_apply (e : M₁ ≃SL[σ₁₂] M₂) (x : M₁) : e.symm.symm x = e x :=
rfl
lemma symm_apply_eq (e : M₁ ≃SL[σ₁₂] M₂) {x y} : e.symm x = y ↔ x = e y :=
e.to_linear_equiv.symm_apply_eq
lemma eq_symm_apply (e : M₁ ≃SL[σ₁₂] M₂) {x y} : y = e.symm x ↔ e y = x :=
e.to_linear_equiv.eq_symm_apply
protected lemma image_eq_preimage (e : M₁ ≃SL[σ₁₂] M₂) (s : set M₁) : e '' s = e.symm ⁻¹' s :=
e.to_linear_equiv.to_equiv.image_eq_preimage s
protected lemma image_symm_eq_preimage (e : M₁ ≃SL[σ₁₂] M₂) (s : set M₂) : e.symm '' s = e ⁻¹' s :=
by rw [e.symm.image_eq_preimage, e.symm_symm]
@[simp] protected lemma symm_preimage_preimage (e : M₁ ≃SL[σ₁₂] M₂) (s : set M₂) :
e.symm ⁻¹' (e ⁻¹' s) = s := e.to_linear_equiv.to_equiv.symm_preimage_preimage s
@[simp] protected lemma preimage_symm_preimage (e : M₁ ≃SL[σ₁₂] M₂) (s : set M₁) :
e ⁻¹' (e.symm ⁻¹' s) = s := e.symm.symm_preimage_preimage s
protected lemma uniform_embedding {E₁ E₂ : Type*} [uniform_space E₁] [uniform_space E₂]
[add_comm_group E₁] [add_comm_group E₂] [module R₁ E₁] [module R₂ E₂]
[uniform_add_group E₁] [uniform_add_group E₂]
(e : E₁ ≃SL[σ₁₂] E₂) :
uniform_embedding e :=
e.to_linear_equiv.to_equiv.uniform_embedding
e.to_continuous_linear_map.uniform_continuous
e.symm.to_continuous_linear_map.uniform_continuous
protected lemma _root_.linear_equiv.uniform_embedding {E₁ E₂ : Type*} [uniform_space E₁]
[uniform_space E₂] [add_comm_group E₁] [add_comm_group E₂] [module R₁ E₁] [module R₂ E₂]
[uniform_add_group E₁] [uniform_add_group E₂]
(e : E₁ ≃ₛₗ[σ₁₂] E₂) (h₁ : continuous e) (h₂ : continuous e.symm) :
uniform_embedding e :=
continuous_linear_equiv.uniform_embedding
({ continuous_to_fun := h₁,
continuous_inv_fun := h₂,
.. e } : E₁ ≃SL[σ₁₂] E₂)
omit σ₂₁
/-- Create a `continuous_linear_equiv` from two `continuous_linear_map`s that are
inverse of each other. -/
def equiv_of_inverse (f₁ : M₁ →SL[σ₁₂] M₂) (f₂ : M₂ →SL[σ₂₁] M₁) (h₁ : function.left_inverse f₂ f₁)
(h₂ : function.right_inverse f₂ f₁) :
M₁ ≃SL[σ₁₂] M₂ :=
{ to_fun := f₁,
continuous_to_fun := f₁.continuous,
inv_fun := f₂,
continuous_inv_fun := f₂.continuous,
left_inv := h₁,
right_inv := h₂,
.. f₁ }
include σ₂₁
@[simp] lemma equiv_of_inverse_apply (f₁ : M₁ →SL[σ₁₂] M₂) (f₂ h₁ h₂ x) :
equiv_of_inverse f₁ f₂ h₁ h₂ x = f₁ x :=
rfl
@[simp] lemma symm_equiv_of_inverse (f₁ : M₁ →SL[σ₁₂] M₂) (f₂ h₁ h₂) :
(equiv_of_inverse f₁ f₂ h₁ h₂).symm = equiv_of_inverse f₂ f₁ h₂ h₁ :=
rfl
omit σ₂₁
variable (M₁)
/-- The continuous linear equivalences from `M` to itself form a group under composition. -/
instance automorphism_group : group (M₁ ≃L[R₁] M₁) :=
{ mul := λ f g, g.trans f,
one := continuous_linear_equiv.refl R₁ M₁,
inv := λ f, f.symm,
mul_assoc := λ f g h, by {ext, refl},
mul_one := λ f, by {ext, refl},
one_mul := λ f, by {ext, refl},
mul_left_inv := λ f, by {ext, exact f.left_inv x} }
variables {M₁} {R₄ : Type*} [semiring R₄] [module R₄ M₄]
{σ₃₄ : R₃ →+* R₄} {σ₄₃ : R₄ →+* R₃} [ring_hom_inv_pair σ₃₄ σ₄₃] [ring_hom_inv_pair σ₄₃ σ₃₄]
{σ₂₄ : R₂ →+* R₄} {σ₁₄ : R₁ →+* R₄}
[ring_hom_comp_triple σ₂₁ σ₁₄ σ₂₄] [ring_hom_comp_triple σ₂₄ σ₄₃ σ₂₃]
[ring_hom_comp_triple σ₁₃ σ₃₄ σ₁₄]
/-- The continuous linear equivalence between `ulift M₁` and `M₁`. -/
def ulift : ulift M₁ ≃L[R₁] M₁ :=
{ map_add' := λ x y, rfl,
map_smul' := λ c x, rfl,
continuous_to_fun := continuous_ulift_down,
continuous_inv_fun := continuous_ulift_up,
.. equiv.ulift }
include σ₂₁ σ₃₄ σ₂₃ σ₂₄ σ₁₃
/-- A pair of continuous (semi)linear equivalences generates an equivalence between the spaces of
continuous linear maps. See also `continuous_linear_equiv.arrow_congr`. -/
@[simps] def arrow_congr_equiv (e₁₂ : M₁ ≃SL[σ₁₂] M₂) (e₄₃ : M₄ ≃SL[σ₄₃] M₃) :
(M₁ →SL[σ₁₄] M₄) ≃ (M₂ →SL[σ₂₃] M₃) :=
{ to_fun := λ f, (e₄₃ : M₄ →SL[σ₄₃] M₃).comp (f.comp (e₁₂.symm : M₂ →SL[σ₂₁] M₁)),
inv_fun := λ f, (e₄₃.symm : M₃ →SL[σ₃₄] M₄).comp (f.comp (e₁₂ : M₁ →SL[σ₁₂] M₂)),
left_inv := λ f, continuous_linear_map.ext $ λ x,
by simp only [continuous_linear_map.comp_apply, symm_apply_apply, coe_coe],
right_inv := λ f, continuous_linear_map.ext $ λ x,
by simp only [continuous_linear_map.comp_apply, apply_symm_apply, coe_coe] }
end add_comm_monoid
section add_comm_group
variables {R : Type*} [semiring R]
{M : Type*} [topological_space M] [add_comm_group M]
{M₂ : Type*} [topological_space M₂] [add_comm_group M₂]
{M₃ : Type*} [topological_space M₃] [add_comm_group M₃]
{M₄ : Type*} [topological_space M₄] [add_comm_group M₄]
[module R M] [module R M₂] [module R M₃] [module R M₄]
variables [topological_add_group M₄]
/-- Equivalence given by a block lower diagonal matrix. `e` and `e'` are diagonal square blocks,
and `f` is a rectangular block below the diagonal. -/
def skew_prod (e : M ≃L[R] M₂) (e' : M₃ ≃L[R] M₄) (f : M →L[R] M₄) :
(M × M₃) ≃L[R] M₂ × M₄ :=
{ continuous_to_fun := (e.continuous_to_fun.comp continuous_fst).prod_mk
((e'.continuous_to_fun.comp continuous_snd).add $ f.continuous.comp continuous_fst),
continuous_inv_fun := (e.continuous_inv_fun.comp continuous_fst).prod_mk
(e'.continuous_inv_fun.comp $ continuous_snd.sub $ f.continuous.comp $
e.continuous_inv_fun.comp continuous_fst),
.. e.to_linear_equiv.skew_prod e'.to_linear_equiv ↑f }
@[simp] lemma skew_prod_apply (e : M ≃L[R] M₂) (e' : M₃ ≃L[R] M₄) (f : M →L[R] M₄) (x) :
e.skew_prod e' f x = (e x.1, e' x.2 + f x.1) := rfl
@[simp] lemma skew_prod_symm_apply (e : M ≃L[R] M₂) (e' : M₃ ≃L[R] M₄) (f : M →L[R] M₄) (x) :
(e.skew_prod e' f).symm x = (e.symm x.1, e'.symm (x.2 - f (e.symm x.1))) := rfl
end add_comm_group
section ring
variables {R : Type*} [ring R] {R₂ : Type*} [ring R₂]
{M : Type*} [topological_space M] [add_comm_group M] [module R M]
{M₂ : Type*} [topological_space M₂] [add_comm_group M₂] [module R₂ M₂]
variables {σ₁₂ : R →+* R₂} {σ₂₁ : R₂ →+* R} [ring_hom_inv_pair σ₁₂ σ₂₁] [ring_hom_inv_pair σ₂₁ σ₁₂]
include σ₂₁
@[simp] lemma map_sub (e : M ≃SL[σ₁₂] M₂) (x y : M) : e (x - y) = e x - e y :=
(e : M →SL[σ₁₂] M₂).map_sub x y
@[simp] lemma map_neg (e : M ≃SL[σ₁₂] M₂) (x : M) : e (-x) = -e x := (e : M →SL[σ₁₂] M₂).map_neg x
omit σ₂₁
section
/-! The next theorems cover the identification between `M ≃L[𝕜] M`and the group of units of the ring
`M →L[R] M`. -/
variables [topological_add_group M]
/-- An invertible continuous linear map `f` determines a continuous equivalence from `M` to itself.
-/
def of_unit (f : (M →L[R] M)ˣ) : (M ≃L[R] M) :=
{ to_linear_equiv :=
{ to_fun := f.val,
map_add' := by simp,
map_smul' := by simp,
inv_fun := f.inv,
left_inv := λ x, show (f.inv * f.val) x = x, by {rw f.inv_val, simp},
right_inv := λ x, show (f.val * f.inv) x = x, by {rw f.val_inv, simp}, },
continuous_to_fun := f.val.continuous,
continuous_inv_fun := f.inv.continuous }
/-- A continuous equivalence from `M` to itself determines an invertible continuous linear map. -/
def to_unit (f : (M ≃L[R] M)) : (M →L[R] M)ˣ :=
{ val := f,
inv := f.symm,
val_inv := by {ext, simp},
inv_val := by {ext, simp} }
variables (R M)
/-- The units of the algebra of continuous `R`-linear endomorphisms of `M` is multiplicatively
equivalent to the type of continuous linear equivalences between `M` and itself. -/
def units_equiv : (M →L[R] M)ˣ ≃* (M ≃L[R] M) :=
{ to_fun := of_unit,
inv_fun := to_unit,
left_inv := λ f, by {ext, refl},
right_inv := λ f, by {ext, refl},
map_mul' := λ x y, by {ext, refl} }
@[simp] lemma units_equiv_apply (f : (M →L[R] M)ˣ) (x : M) :
units_equiv R M f x = f x := rfl
end
section
variables (R) [topological_space R] [has_continuous_mul R]
/-- Continuous linear equivalences `R ≃L[R] R` are enumerated by `Rˣ`. -/
def units_equiv_aut : Rˣ ≃ (R ≃L[R] R) :=
{ to_fun := λ u, equiv_of_inverse
(continuous_linear_map.smul_right (1 : R →L[R] R) ↑u)
(continuous_linear_map.smul_right (1 : R →L[R] R) ↑u⁻¹)
(λ x, by simp) (λ x, by simp),
inv_fun := λ e, ⟨e 1, e.symm 1,
by rw [← smul_eq_mul, ← map_smul, smul_eq_mul, mul_one, symm_apply_apply],
by rw [← smul_eq_mul, ← map_smul, smul_eq_mul, mul_one, apply_symm_apply]⟩,
left_inv := λ u, units.ext $ by simp,
right_inv := λ e, ext₁ $ by simp }
variable {R}
@[simp] lemma units_equiv_aut_apply (u : Rˣ) (x : R) : units_equiv_aut R u x = x * u := rfl
@[simp] lemma units_equiv_aut_apply_symm (u : Rˣ) (x : R) :
(units_equiv_aut R u).symm x = x * ↑u⁻¹ := rfl
@[simp] lemma units_equiv_aut_symm_apply (e : R ≃L[R] R) :
↑((units_equiv_aut R).symm e) = e 1 :=
rfl
end
variables [module R M₂] [topological_add_group M]
open _root_.continuous_linear_map (id fst snd)
open _root_.linear_map (mem_ker)
/-- A pair of continuous linear maps such that `f₁ ∘ f₂ = id` generates a continuous
linear equivalence `e` between `M` and `M₂ × f₁.ker` such that `(e x).2 = x` for `x ∈ f₁.ker`,
`(e x).1 = f₁ x`, and `(e (f₂ y)).2 = 0`. The map is given by `e x = (f₁ x, x - f₂ (f₁ x))`. -/
def equiv_of_right_inverse (f₁ : M →L[R] M₂) (f₂ : M₂ →L[R] M) (h : function.right_inverse f₂ f₁) :
M ≃L[R] M₂ × ker f₁:=
equiv_of_inverse (f₁.prod (f₁.proj_ker_of_right_inverse f₂ h)) (f₂.coprod (ker f₁).subtypeL)
(λ x, by simp)
(λ ⟨x, y⟩, by simp [h x])
@[simp] lemma fst_equiv_of_right_inverse (f₁ : M →L[R] M₂) (f₂ : M₂ →L[R] M)
(h : function.right_inverse f₂ f₁) (x : M) :
(equiv_of_right_inverse f₁ f₂ h x).1 = f₁ x := rfl
@[simp] lemma snd_equiv_of_right_inverse (f₁ : M →L[R] M₂) (f₂ : M₂ →L[R] M)
(h : function.right_inverse f₂ f₁) (x : M) :
((equiv_of_right_inverse f₁ f₂ h x).2 : M) = x - f₂ (f₁ x) := rfl
@[simp] lemma equiv_of_right_inverse_symm_apply (f₁ : M →L[R] M₂) (f₂ : M₂ →L[R] M)
(h : function.right_inverse f₂ f₁) (y : M₂ × ker f₁) :
(equiv_of_right_inverse f₁ f₂ h).symm y = f₂ y.1 + y.2 := rfl
end ring
section
variables (ι R M : Type*) [unique ι] [semiring R] [add_comm_monoid M] [module R M]
[topological_space M]
/-- If `ι` has a unique element, then `ι → M` is continuously linear equivalent to `M`. -/
def fun_unique : (ι → M) ≃L[R] M :=
{ to_linear_equiv := linear_equiv.fun_unique ι R M,
.. homeomorph.fun_unique ι M }
variables {ι R M}
@[simp] lemma coe_fun_unique : ⇑(fun_unique ι R M) = function.eval default := rfl
@[simp] lemma coe_fun_unique_symm : ⇑(fun_unique ι R M).symm = function.const ι := rfl
variables (R M)
/-- Continuous linear equivalence between dependent functions `Π i : fin 2, M i` and `M 0 × M 1`. -/
@[simps { fully_applied := ff }]
def pi_fin_two (M : fin 2 → Type*) [Π i, add_comm_monoid (M i)] [Π i, module R (M i)]
[Π i, topological_space (M i)] :
(Π i, M i) ≃L[R] M 0 × M 1 :=
{ to_linear_equiv := linear_equiv.pi_fin_two R M, .. homeomorph.pi_fin_two M }
/-- Continuous linear equivalence between vectors in `M² = fin 2 → M` and `M × M`. -/
@[simps { fully_applied := ff }]
def fin_two_arrow : (fin 2 → M) ≃L[R] M × M :=
{ to_linear_equiv := linear_equiv.fin_two_arrow R M, .. pi_fin_two R (λ _, M) }
end
end continuous_linear_equiv
namespace continuous_linear_map
open_locale classical
variables {R : Type*} {M : Type*} {M₂ : Type*} [topological_space M] [topological_space M₂]
section
variables [semiring R]
variables [add_comm_monoid M₂] [module R M₂]
variables [add_comm_monoid M] [module R M]
/-- Introduce a function `inverse` from `M →L[R] M₂` to `M₂ →L[R] M`, which sends `f` to `f.symm` if
`f` is a continuous linear equivalence and to `0` otherwise. This definition is somewhat ad hoc,
but one needs a fully (rather than partially) defined inverse function for some purposes, including
for calculus. -/
noncomputable def inverse : (M →L[R] M₂) → (M₂ →L[R] M) :=
λ f, if h : ∃ (e : M ≃L[R] M₂), (e : M →L[R] M₂) = f then ((classical.some h).symm : M₂ →L[R] M)
else 0
/-- By definition, if `f` is invertible then `inverse f = f.symm`. -/
@[simp] lemma inverse_equiv (e : M ≃L[R] M₂) : inverse (e : M →L[R] M₂) = e.symm :=
begin
have h : ∃ (e' : M ≃L[R] M₂), (e' : M →L[R] M₂) = ↑e := ⟨e, rfl⟩,
simp only [inverse, dif_pos h],
congr,
exact_mod_cast (classical.some_spec h)
end
/-- By definition, if `f` is not invertible then `inverse f = 0`. -/
@[simp] lemma inverse_non_equiv (f : M →L[R] M₂) (h : ¬∃ (e' : M ≃L[R] M₂), ↑e' = f) :
inverse f = 0 :=
dif_neg h
end
section
variables [ring R]
variables [add_comm_group M] [topological_add_group M] [module R M]
variables [add_comm_group M₂] [module R M₂]
@[simp] lemma ring_inverse_equiv (e : M ≃L[R] M) :
ring.inverse ↑e = inverse (e : M →L[R] M) :=
begin
suffices :
ring.inverse ((((continuous_linear_equiv.units_equiv _ _).symm e) : M →L[R] M)) = inverse ↑e,
{ convert this },
simp,
refl,
end
/-- The function `continuous_linear_equiv.inverse` can be written in terms of `ring.inverse` for the
ring of self-maps of the domain. -/
lemma to_ring_inverse (e : M ≃L[R] M₂) (f : M →L[R] M₂) :
inverse f = (ring.inverse ((e.symm : (M₂ →L[R] M)).comp f)) ∘L ↑e.symm :=
begin
by_cases h₁ : ∃ (e' : M ≃L[R] M₂), ↑e' = f,
{ obtain ⟨e', he'⟩ := h₁,
rw ← he',
change _ = (ring.inverse ↑(e'.trans e.symm)) ∘L ↑e.symm,
ext,
simp },
{ suffices : ¬is_unit ((e.symm : M₂ →L[R] M).comp f),
{ simp [this, h₁] },
contrapose! h₁,
rcases h₁ with ⟨F, hF⟩,
use (continuous_linear_equiv.units_equiv _ _ F).trans e,
ext,
dsimp, rw [coe_fn_coe_base' F, hF], simp }
end
lemma ring_inverse_eq_map_inverse : ring.inverse = @inverse R M M _ _ _ _ _ _ _ :=
begin
ext,
simp [to_ring_inverse (continuous_linear_equiv.refl R M)],
end
end
end continuous_linear_map
namespace submodule
variables
{R : Type*} [ring R]
{M : Type*} [topological_space M] [add_comm_group M] [module R M]
{M₂ : Type*} [topological_space M₂] [add_comm_group M₂] [module R M₂]
open continuous_linear_map
/-- A submodule `p` is called *complemented* if there exists a continuous projection `M →ₗ[R] p`. -/
def closed_complemented (p : submodule R M) : Prop := ∃ f : M →L[R] p, ∀ x : p, f x = x
lemma closed_complemented.has_closed_complement {p : submodule R M} [t1_space p]
(h : closed_complemented p) :
∃ (q : submodule R M) (hq : is_closed (q : set M)), is_compl p q :=
exists.elim h $ λ f hf, ⟨ker f, f.is_closed_ker, linear_map.is_compl_of_proj hf⟩
protected lemma closed_complemented.is_closed [topological_add_group M] [t1_space M]
{p : submodule R M} (h : closed_complemented p) :
is_closed (p : set M) :=
begin
rcases h with ⟨f, hf⟩,
have : ker (id R M - p.subtypeL.comp f) = p := linear_map.ker_id_sub_eq_of_proj hf,
exact this ▸ (is_closed_ker _)
end
@[simp] lemma closed_complemented_bot : closed_complemented (⊥ : submodule R M) :=
⟨0, λ x, by simp only [zero_apply, eq_zero_of_bot_submodule x]⟩
@[simp] lemma closed_complemented_top : closed_complemented (⊤ : submodule R M) :=
⟨(id R M).cod_restrict ⊤ (λ x, trivial), λ x, subtype.ext_iff_val.2 $ by simp⟩
end submodule
lemma continuous_linear_map.closed_complemented_ker_of_right_inverse {R : Type*} [ring R]
{M : Type*} [topological_space M] [add_comm_group M]
{M₂ : Type*} [topological_space M₂] [add_comm_group M₂] [module R M] [module R M₂]
[topological_add_group M] (f₁ : M →L[R] M₂) (f₂ : M₂ →L[R] M)
(h : function.right_inverse f₂ f₁) :
(ker f₁).closed_complemented :=
⟨f₁.proj_ker_of_right_inverse f₂ h, f₁.proj_ker_of_right_inverse_apply_idem f₂ h⟩
section quotient
namespace submodule
variables {R M : Type*} [ring R] [add_comm_group M] [module R M] [topological_space M]
(S : submodule R M)
lemma is_open_map_mkq [topological_add_group M] : is_open_map S.mkq :=
quotient_add_group.is_open_map_coe S.to_add_subgroup
instance topological_add_group_quotient [topological_add_group M] :
topological_add_group (M ⧸ S) :=
topological_add_group_quotient S.to_add_subgroup
instance has_continuous_smul_quotient [topological_space R] [topological_add_group M]
[has_continuous_smul R M] :
has_continuous_smul R (M ⧸ S) :=
begin
split,
have quot : quotient_map (λ au : R × M, (au.1, S.mkq au.2)),
from is_open_map.to_quotient_map
(is_open_map.id.prod S.is_open_map_mkq)
(continuous_id.prod_map continuous_quot_mk)
(function.surjective_id.prod_map $ surjective_quot_mk _),
rw quot.continuous_iff,
exact continuous_quot_mk.comp continuous_smul
end
instance t3_quotient_of_is_closed [topological_add_group M] [is_closed (S : set M)] :
t3_space (M ⧸ S) :=
begin
letI : is_closed (S.to_add_subgroup : set M) := ‹_›,
exact S.to_add_subgroup.t3_quotient_of_is_closed
end
end submodule
end quotient
|
c1c46e1f605c906ce0bc30420882b0b005b887ab | fa02ed5a3c9c0adee3c26887a16855e7841c668b | /src/data/pfunctor/multivariate/M.lean | aa4e27e0619315909dee800a4e1768dfbc95f5cc | [
"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 | 11,518 | lean | /-
Copyright (c) 2018 Jeremy Avigad. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jeremy Avigad, Mario Carneiro, Simon Hudon
-/
import data.pfunctor.univariate
import data.pfunctor.multivariate.basic
/-!
# The M construction as a multivariate polynomial functor.
M types are potentially infinite tree-like structures. They are defined
as the greatest fixpoint of a polynomial functor.
## Main definitions
* `M.mk` - constructor
* `M.dest` - destructor
* `M.corec` - corecursor: useful for formulating infinite, productive computations
* `M.bisim` - bisimulation: proof technique to show the equality of infinite objects
## Implementation notes
Dual view of M-types:
* `Mp`: polynomial functor
* `M`: greatest fixed point of a polynomial functor
Specifically, we define the polynomial functor `Mp` as:
* A := a possibly infinite tree-like structure without information in the nodes
* B := given the tree-like structure `t`, `B t` is a valid path
from the root of `t` to any given node.
As a result `Mp.obj α` is made of a dataless tree and a function from
its valid paths to values of `α`
The difference with the polynomial functor of an initial algebra is
that `A` is a possibly infinite tree.
## Reference
* [Jeremy Avigad, Mario M. Carneiro and Simon Hudon, *Data Types as Quotients of Polynomial Functors*][avigad-carneiro-hudon2019]
-/
universe u
open_locale mvfunctor
namespace mvpfunctor
open typevec
variables {n : ℕ} (P : mvpfunctor.{u} (n+1))
/-- A path from the root of a tree to one of its node -/
inductive M.path : P.last.M → fin2 n → Type u
| root (x : P.last.M) (a : P.A) (f : P.last.B a → P.last.M) (h : pfunctor.M.dest x = ⟨a, f⟩)
(i : fin2 n) (c : P.drop.B a i) :
M.path x i
| child (x : P.last.M) (a : P.A) (f : P.last.B a → P.last.M) (h : pfunctor.M.dest x = ⟨a, f⟩)
(j : P.last.B a) (i : fin2 n) (c : M.path (f j) i) :
M.path x i
instance M.path.inhabited (x : P.last.M) {i} [inhabited (P.drop.B x.head i)] :
inhabited (M.path P x i) :=
⟨ M.path.root _ (pfunctor.M.head x) (pfunctor.M.children x)
(pfunctor.M.cases_on' x $
by intros; simp [pfunctor.M.dest_mk]; ext; rw pfunctor.M.children_mk; refl) _
(default _) ⟩
/-- Polynomial functor of the M-type of `P`. `A` is a data-less
possibly infinite tree whereas, for a given `a : A`, `B a` is a valid
path in tree `a` so that `Wp.obj α` is made of a tree and a function
from its valid paths to the values it contains -/
def Mp : mvpfunctor n :=
{ A := P.last.M, B := M.path P }
/-- `n`-ary M-type for `P` -/
def M (α : typevec n) : Type* := P.Mp.obj α
instance mvfunctor_M : mvfunctor P.M := by delta M; apply_instance
instance inhabited_M {α : typevec _}
[I : inhabited P.A]
[Π (i : fin2 n), inhabited (α i)] :
inhabited (P.M α) :=
@obj.inhabited _ (Mp P) _ (@pfunctor.M.inhabited P.last I) _
/-- construct through corecursion the shape of an M-type
without its contents -/
def M.corec_shape {β : Type u}
(g₀ : β → P.A)
(g₂ : Π b : β, P.last.B (g₀ b) → β) :
β → P.last.M :=
pfunctor.M.corec (λ b, ⟨g₀ b, g₂ b⟩)
/-- Proof of type equality as an arrow -/
def cast_dropB {a a' : P.A} (h : a = a') : P.drop.B a ⟹ P.drop.B a' :=
λ i b, eq.rec_on h b
/-- Proof of type equality as a function -/
def cast_lastB {a a' : P.A} (h : a = a') : P.last.B a → P.last.B a' :=
λ b, eq.rec_on h b
/-- Using corecursion, construct the contents of an M-type -/
def M.corec_contents {α : typevec.{u} n} {β : Type u}
(g₀ : β → P.A)
(g₁ : Π b : β, P.drop.B (g₀ b) ⟹ α)
(g₂ : Π b : β, P.last.B (g₀ b) → β) :
Π x b, x = M.corec_shape P g₀ g₂ b → M.path P x ⟹ α
| ._ b h ._ (M.path.root x a f h' i c) :=
have a = g₀ b,
by { rw [h, M.corec_shape, pfunctor.M.dest_corec] at h', cases h', refl },
g₁ b i (P.cast_dropB this i c)
| ._ b h ._ (M.path.child x a f h' j i c) :=
have h₀ : a = g₀ b,
by { rw [h, M.corec_shape, pfunctor.M.dest_corec] at h', cases h', refl },
have h₁ : f j = M.corec_shape P g₀ g₂ (g₂ b (cast_lastB P h₀ j)),
by { rw [h, M.corec_shape, pfunctor.M.dest_corec] at h', cases h', refl },
M.corec_contents (f j) (g₂ b (P.cast_lastB h₀ j)) h₁ i c
/-- Corecursor for M-type of `P` -/
def M.corec' {α : typevec n} {β : Type u}
(g₀ : β → P.A)
(g₁ : Π b : β, P.drop.B (g₀ b) ⟹ α)
(g₂ : Π b : β, P.last.B (g₀ b) → β) :
β → P.M α :=
λ b, ⟨M.corec_shape P g₀ g₂ b, M.corec_contents P g₀ g₁ g₂ _ _ rfl⟩
/-- Corecursor for M-type of `P` -/
def M.corec {α : typevec n} {β : Type u} (g : β → P.obj (α.append1 β)) :
β → P.M α :=
M.corec' P
(λ b, (g b).fst)
(λ b, drop_fun (g b).snd)
(λ b, last_fun (g b).snd)
/-- Implementation of destructor for M-type of `P` -/
def M.path_dest_left {α : typevec n} {x : P.last.M}
{a : P.A} {f : P.last.B a → P.last.M} (h : pfunctor.M.dest x = ⟨a, f⟩)
(f' : M.path P x ⟹ α) :
P.drop.B a ⟹ α :=
λ i c, f' i (M.path.root x a f h i c)
/-- Implementation of destructor for M-type of `P` -/
def M.path_dest_right {α : typevec n} {x : P.last.M}
{a : P.A} {f : P.last.B a → P.last.M} (h : pfunctor.M.dest x = ⟨a, f⟩)
(f' : M.path P x ⟹ α) :
Π j : P.last.B a, M.path P (f j) ⟹ α :=
λ j i c, f' i (M.path.child x a f h j i c)
/-- Destructor for M-type of `P` -/
def M.dest' {α : typevec n} {x : P.last.M}
{a : P.A} {f : P.last.B a → P.last.M} (h : pfunctor.M.dest x = ⟨a, f⟩)
(f' : M.path P x ⟹ α) :
P.obj (α.append1 (P.M α)) :=
⟨a, split_fun (M.path_dest_left P h f') (λ x, ⟨f x, M.path_dest_right P h f' x⟩)⟩
/-- Destructor for M-types -/
def M.dest {α : typevec n} (x : P.M α) : P.obj (α ::: P.M α) :=
M.dest' P (sigma.eta $ pfunctor.M.dest x.fst).symm x.snd
/-- Constructor for M-types -/
def M.mk {α : typevec n} : P.obj (α.append1 (P.M α)) → P.M α :=
M.corec _ (λ i, append_fun id (M.dest P) <$$> i)
theorem M.dest'_eq_dest' {α : typevec n} {x : P.last.M}
{a₁ : P.A} {f₁ : P.last.B a₁ → P.last.M} (h₁ : pfunctor.M.dest x = ⟨a₁, f₁⟩)
{a₂ : P.A} {f₂ : P.last.B a₂ → P.last.M} (h₂ : pfunctor.M.dest x = ⟨a₂, f₂⟩)
(f' : M.path P x ⟹ α) : M.dest' P h₁ f' = M.dest' P h₂ f' :=
by cases h₁.symm.trans h₂; refl
theorem M.dest_eq_dest' {α : typevec n} {x : P.last.M}
{a : P.A} {f : P.last.B a → P.last.M} (h : pfunctor.M.dest x = ⟨a, f⟩)
(f' : M.path P x ⟹ α) : M.dest P ⟨x, f'⟩ = M.dest' P h f' :=
M.dest'_eq_dest' _ _ _ _
theorem M.dest_corec' {α : typevec.{u} n} {β : Type u}
(g₀ : β → P.A)
(g₁ : Π b : β, P.drop.B (g₀ b) ⟹ α)
(g₂ : Π b : β, P.last.B (g₀ b) → β)
(x : β) :
M.dest P (M.corec' P g₀ g₁ g₂ x) =
⟨g₀ x, split_fun (g₁ x) (M.corec' P g₀ g₁ g₂ ∘ (g₂ x))⟩ :=
rfl
theorem M.dest_corec {α : typevec n} {β : Type u} (g : β → P.obj (α.append1 β)) (x : β) :
M.dest P (M.corec P g x) = append_fun id (M.corec P g) <$$> g x :=
begin
transitivity, apply M.dest_corec',
cases g x with a f, dsimp,
rw mvpfunctor.map_eq, congr,
conv { to_rhs, rw [←split_drop_fun_last_fun f, append_fun_comp_split_fun] },
refl
end
lemma M.bisim_lemma {α : typevec n}
{a₁ : (Mp P).A} {f₁ : (Mp P).B a₁ ⟹ α}
{a' : P.A} {f' : (P.B a').drop ⟹ α} {f₁' : (P.B a').last → M P α}
(e₁ : M.dest P ⟨a₁, f₁⟩ = ⟨a', split_fun f' f₁'⟩) :
∃ g₁' (e₁' : pfunctor.M.dest a₁ = ⟨a', g₁'⟩),
f' = M.path_dest_left P e₁' f₁ ∧
f₁' = λ (x : (last P).B a'),
⟨g₁' x, M.path_dest_right P e₁' f₁ x⟩ :=
begin
generalize_hyp ef : @split_fun n _ (append1 α (M P α)) f' f₁' = ff at e₁,
cases e₁' : pfunctor.M.dest a₁ with a₁' g₁',
rw M.dest_eq_dest' _ e₁' at e₁,
cases e₁, exact ⟨_, e₁', split_fun_inj ef⟩,
end
theorem M.bisim {α : typevec n} (R : P.M α → P.M α → Prop)
(h : ∀ x y, R x y → ∃ a f f₁ f₂,
M.dest P x = ⟨a, split_fun f f₁⟩ ∧
M.dest P y = ⟨a, split_fun f f₂⟩ ∧
∀ i, R (f₁ i) (f₂ i))
(x y) (r : R x y) : x = y :=
begin
cases x with a₁ f₁,
cases y with a₂ f₂,
dsimp [Mp] at *,
have : a₁ = a₂, {
refine pfunctor.M.bisim
(λ a₁ a₂, ∃ x y, R x y ∧ x.1 = a₁ ∧ y.1 = a₂) _ _ _
⟨⟨a₁, f₁⟩, ⟨a₂, f₂⟩, r, rfl, rfl⟩,
rintro _ _ ⟨⟨a₁, f₁⟩, ⟨a₂, f₂⟩, r, rfl, rfl⟩,
rcases h _ _ r with ⟨a', f', f₁', f₂', e₁, e₂, h'⟩,
rcases M.bisim_lemma P e₁ with ⟨g₁', e₁', rfl, rfl⟩,
rcases M.bisim_lemma P e₂ with ⟨g₂', e₂', _, rfl⟩,
rw [e₁', e₂'],
exact ⟨_, _, _, rfl, rfl, λ b, ⟨_, _, h' b, rfl, rfl⟩⟩ },
subst this, congr' with i p,
induction p with x a f h' i c x a f h' i c p IH generalizing f₁ f₂;
try {
rcases h _ _ r with ⟨a', f', f₁', f₂', e₁, e₂, h''⟩,
rcases M.bisim_lemma P e₁ with ⟨g₁', e₁', rfl, rfl⟩,
rcases M.bisim_lemma P e₂ with ⟨g₂', e₂', e₃, rfl⟩,
cases h'.symm.trans e₁',
cases h'.symm.trans e₂' },
{ exact (congr_fun (congr_fun e₃ i) c : _) },
{ exact IH _ _ (h'' _) }
end
theorem M.bisim₀ {α : typevec n} (R : P.M α → P.M α → Prop)
(h₀ : equivalence R)
(h : ∀ x y, R x y →
(id ::: quot.mk R) <$$> M.dest _ x = (id ::: quot.mk R) <$$> M.dest _ y)
(x y) (r : R x y) : x = y :=
begin
apply M.bisim P R _ _ _ r, clear r x y,
introv Hr, specialize h _ _ Hr, clear Hr,
rcases M.dest P x with ⟨ax,fx⟩, rcases M.dest P y with ⟨ay,fy⟩,
intro h, rw [map_eq,map_eq] at h, injection h with h₀ h₁, subst ay,
simp at h₁, clear h,
have Hdrop : drop_fun fx = drop_fun fy,
{ replace h₁ := congr_arg drop_fun h₁,
simpa using h₁, },
existsi [ax,drop_fun fx,last_fun fx,last_fun fy],
rw [split_drop_fun_last_fun,Hdrop,split_drop_fun_last_fun],
simp, intro i,
replace h₁ := congr_fun (congr_fun h₁ fin2.fz) i,
simp [(⊚),append_fun,split_fun] at h₁,
replace h₁ := quot.exact _ h₁,
rw relation.eqv_gen_iff_of_equivalence at h₁,
exact h₁, exact h₀
end
theorem M.bisim' {α : typevec n} (R : P.M α → P.M α → Prop)
(h : ∀ x y, R x y →
(id ::: quot.mk R) <$$> M.dest _ x = (id ::: quot.mk R) <$$> M.dest _ y)
(x y) (r : R x y) : x = y :=
begin
have := M.bisim₀ P (eqv_gen R) _ _,
{ solve_by_elim [eqv_gen.rel] },
{ apply eqv_gen.is_equivalence },
{ clear r x y, introv Hr,
have : ∀ x y, R x y → eqv_gen R x y := @eqv_gen.rel _ R,
induction Hr,
{ rw ← quot.factor_mk_eq R (eqv_gen R) this,
rwa [append_fun_comp_id,← mvfunctor.map_map,← mvfunctor.map_map,h] },
all_goals { cc } }
end
theorem M.dest_map {α β : typevec n} (g : α ⟹ β) (x : P.M α) :
M.dest P (g <$$> x) = append_fun g (λ x, g <$$> x) <$$> M.dest P x :=
begin
cases x with a f,
rw map_eq,
conv { to_rhs, rw [M.dest, M.dest', map_eq, append_fun_comp_split_fun] },
reflexivity
end
theorem M.map_dest {α β : typevec n} (g : α ::: P.M α ⟹ β ::: P.M β) (x : P.M α)
(h : ∀ x : P.M α, last_fun g x = (drop_fun g <$$> x : P.M β) ):
g <$$> M.dest P x = M.dest P (drop_fun g <$$> x) :=
begin
rw M.dest_map, congr,
apply eq_of_drop_last_eq; simp,
ext1, apply h
end
end mvpfunctor
|
e1aee70117959e1f7ac8f21423d4aeede080265e | 93366ecea09eebeeb0b320567c6f71715434c3f0 | /src/bum/bum.lean | 5794e93d2ed0707545a5c43e7f626d25b220f40a | [
"LicenseRef-scancode-mit-taylor-variant",
"LicenseRef-scancode-warranty-disclaimer"
] | permissive | o89/bum | 9c1286cedb878c1e14c618e81b33d365f62c8a8a | 18ffb2b46932ba767c50758a93cc99846ef1b46a | refs/heads/master | 1,670,171,693,018 | 1,669,086,393,000 | 1,669,086,393,000 | 205,409,352 | 8 | 6 | null | null | null | null | UTF-8 | Lean | false | false | 2,811 | lean | import bum.io
def getTools (conf : Project) : IO Tools := do
let leanHomeOpt ← IO.getEnv "LEAN_HOME"
match leanHomeOpt with
| some leanHome => do
discard (IO.setEnv "LEAN_PATH" "")
addToLeanPath [ leanHome, "lib", "lean" ].joinPath
let src ← IO.FS.realPath conf.srcDir
addToLeanPath src
discard (IO.Process.run { cmd := "mkdir", args := #["-p", toString conf.depsDir]})
pure ⟨leanHome, [ leanHome, "bin", "lean" ].joinPath, "ar", "c++"⟩
| none => throw (IO.Error.userError "Environment variable LEAN_HOME not found")
def eval : Command → IO Unit
| Command.start => do
let conf ← readConf config
match conf.build with
| BuildType.executable => do
let name := conf.getBinary
exec { cmd := toString (workdir / name) }
| BuildType.library =>
IO.println "Cannot start a library"
| Command.clean scale => do
let conf ← readConf config
(match scale with
| Scale.current => clean
| Scale.total => cleanRecur) conf
| Command.compile force? => do
let conf ← readConf config
let tools ← getTools conf
build tools conf force?
| Command.olean scale force? => do
let conf ← readConf config
let tools ← getTools conf
match scale with
| Scale.current => do
discard (setLeanPath conf)
let force ← IO.mkRef force?
olean force tools conf
| Scale.total => oleanRecur tools conf force?
| Command.deps => do
let conf ← readConf config
let deps ← resolveDeps conf true
let toPrint :=
List.map (String.append "==> dependency: " ∘
Project.name ∘ Prod.snd) deps
if toPrint ≠ [] then
IO.println (String.intercalate "\n" toPrint)
else pure ()
| Command.help => IO.println Command.helpString
| Command.app app => do
exec (Repo.cmd "." app.toRepo)
IO.Process.run { cmd := "rm", args := #["-rf", ".git"] }
|> discard
| Command.gitignore =>
"“gitignore” can only be called individually: bum gitignore"
|> IO.userError |> throw
| Command.leanPath =>
"“lean-path” can only be called individually: bum lean-path"
|> IO.userError |> throw
| Command.nope => pure ()
def evalList : List Command → IO Unit
| [] => eval Command.help
| [Command.nope, Command.leanPath] => do
let conf ← readConf config
let src ← IO.FS.realPath conf.srcDir
println! "export LEAN_PATH=$LEAN_PATH:{src}"
| [Command.nope, Command.gitignore] => do
let conf ← readConf config
List.filter Source.cpp? conf.files
|> List.map (λ file => s!"!{file.asCpp}")
|> (["*.olean", "*.o", "*.a", "*.cpp", [".", toString conf.getBinary].joinPath] ++ ·)
|> String.intercalate "\n"
|> IO.println
| xs => List.forM xs eval >> IO.println "OK"
def main (args : List String) : IO Unit :=
match Command.parse args with
| Except.ok v => evalList v
| Except.error err => IO.println err
|
658041b261ed8aae56f7e166f78487e6a0b44e4e | aa2345b30d710f7e75f13157a35845ee6d48c017 | /data/list/basic.lean | 1d9dc891012edc37df63604106e4e33b60137e63 | [
"Apache-2.0"
] | permissive | CohenCyril/mathlib | 5241b20a3fd0ac0133e48e618a5fb7761ca7dcbe | a12d5a192f5923016752f638d19fc1a51610f163 | refs/heads/master | 1,586,031,957,957 | 1,541,432,824,000 | 1,541,432,824,000 | 156,246,337 | 0 | 0 | Apache-2.0 | 1,541,434,514,000 | 1,541,434,513,000 | null | UTF-8 | Lean | false | false | 183,433 | lean | /-
Copyright (c) 2014 Parikshit Khanna. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Parikshit Khanna, Jeremy Avigad, Leonardo de Moura, Floris van Doorn, Mario Carneiro
Basic properties of lists.
-/
import
tactic.interactive tactic.mk_iff_of_inductive_prop tactic.split_ifs
logic.basic logic.function logic.relation
algebra.group order.basic
data.nat.basic data.option data.bool data.prod data.sigma data.fin
open function nat
namespace list
universes u v w x
variables {α : Type u} {β : Type v} {γ : Type w} {δ : Type x}
@[simp] theorem cons_ne_nil (a : α) (l : list α) : a::l ≠ [].
theorem head_eq_of_cons_eq {h₁ h₂ : α} {t₁ t₂ : list α} :
(h₁::t₁) = (h₂::t₂) → h₁ = h₂ :=
assume Peq, list.no_confusion Peq (assume Pheq Pteq, Pheq)
theorem tail_eq_of_cons_eq {h₁ h₂ : α} {t₁ t₂ : list α} :
(h₁::t₁) = (h₂::t₂) → t₁ = t₂ :=
assume Peq, list.no_confusion Peq (assume Pheq Pteq, Pteq)
theorem cons_inj {a : α} : injective (cons a) :=
assume l₁ l₂, assume Pe, tail_eq_of_cons_eq Pe
@[simp] theorem cons_inj' (a : α) {l l' : list α} : a::l = a::l' ↔ l = l' :=
⟨λ e, cons_inj e, congr_arg _⟩
/- mem -/
theorem eq_nil_of_forall_not_mem : ∀ {l : list α}, (∀ a, a ∉ l) → l = nil
| [] := assume h, rfl
| (b :: l') := assume h, absurd (mem_cons_self b l') (h b)
theorem mem_singleton_self (a : α) : a ∈ [a] := mem_cons_self _ _
theorem eq_of_mem_singleton {a b : α} : a ∈ [b] → a = b :=
assume : a ∈ [b], or.elim (eq_or_mem_of_mem_cons this)
(assume : a = b, this)
(assume : a ∈ [], absurd this (not_mem_nil a))
@[simp] theorem mem_singleton {a b : α} : a ∈ [b] ↔ a = b :=
⟨eq_of_mem_singleton, or.inl⟩
theorem mem_of_mem_cons_of_mem {a b : α} {l : list α} : a ∈ b::l → b ∈ l → a ∈ l :=
assume ainbl binl, or.elim (eq_or_mem_of_mem_cons ainbl)
(assume : a = b, begin subst a, exact binl end)
(assume : a ∈ l, this)
theorem eq_or_ne_mem_of_mem {a b : α} {l : list α} (h : a ∈ b :: l) : a = b ∨ (a ≠ b ∧ a ∈ l) :=
classical.by_cases or.inl $ assume : a ≠ b, h.elim or.inl $ assume h, or.inr ⟨this, h⟩
theorem not_mem_append {a : α} {s t : list α} (h₁ : a ∉ s) (h₂ : a ∉ t) : a ∉ s ++ t :=
mt mem_append.1 $ not_or_distrib.2 ⟨h₁, h₂⟩
theorem ne_nil_of_mem {a : α} {l : list α} (h : a ∈ l) : l ≠ [] :=
by intro e; rw e at h; cases h
theorem length_eq_zero {l : list α} : length l = 0 ↔ l = [] :=
⟨eq_nil_of_length_eq_zero, λ h, h.symm ▸ rfl⟩
theorem length_pos_of_mem {a : α} : ∀ {l : list α}, a ∈ l → 0 < length l
| (b::l) _ := zero_lt_succ _
theorem exists_mem_of_length_pos : ∀ {l : list α}, 0 < length l → ∃ a, a ∈ l
| (b::l) _ := ⟨b, mem_cons_self _ _⟩
theorem length_pos_iff_exists_mem {l : list α} : 0 < length l ↔ ∃ a, a ∈ l :=
⟨exists_mem_of_length_pos, λ ⟨a, h⟩, length_pos_of_mem h⟩
theorem length_eq_one {l : list α} : length l = 1 ↔ ∃ a, l = [a] :=
⟨match l with [a], _ := ⟨a, rfl⟩ end, λ ⟨a, e⟩, e.symm ▸ rfl⟩
theorem mem_split {a : α} {l : list α} (h : a ∈ l) : ∃ s t : list α, l = s ++ a :: t :=
begin
induction l with b l ih, {cases h}, rcases h with rfl | h,
{ exact ⟨[], l, rfl⟩ },
{ rcases ih h with ⟨s, t, rfl⟩,
exact ⟨b::s, t, rfl⟩ }
end
theorem mem_of_ne_of_mem {a y : α} {l : list α} (h₁ : a ≠ y) (h₂ : a ∈ y :: l) : a ∈ l :=
or.elim (eq_or_mem_of_mem_cons h₂) (λe, absurd e h₁) (λr, r)
theorem ne_of_not_mem_cons {a b : α} {l : list α} : a ∉ b::l → a ≠ b :=
assume nin aeqb, absurd (or.inl aeqb) nin
theorem not_mem_of_not_mem_cons {a b : α} {l : list α} : a ∉ b::l → a ∉ l :=
assume nin nainl, absurd (or.inr nainl) nin
theorem not_mem_cons_of_ne_of_not_mem {a y : α} {l : list α} : a ≠ y → a ∉ l → a ∉ y::l :=
assume p1 p2, not.intro (assume Pain, absurd (eq_or_mem_of_mem_cons Pain) (not_or p1 p2))
theorem ne_and_not_mem_of_not_mem_cons {a y : α} {l : list α} : a ∉ y::l → a ≠ y ∧ a ∉ l :=
assume p, and.intro (ne_of_not_mem_cons p) (not_mem_of_not_mem_cons p)
theorem mem_map_of_mem (f : α → β) {a : α} {l : list α} (h : a ∈ l) : f a ∈ map f l :=
begin
induction l with b l' ih,
{cases h},
{rcases h with rfl | h,
{exact or.inl rfl},
{exact or.inr (ih h)}}
end
theorem exists_of_mem_map {f : α → β} {b : β} {l : list α} (h : b ∈ map f l) : ∃ a, a ∈ l ∧ f a = b :=
begin
induction l with c l' ih,
{cases h},
{cases (eq_or_mem_of_mem_cons h) with h h,
{exact ⟨c, mem_cons_self _ _, h.symm⟩},
{rcases ih h with ⟨a, ha₁, ha₂⟩,
exact ⟨a, mem_cons_of_mem _ ha₁, ha₂⟩ }}
end
@[simp] theorem mem_map {f : α → β} {b : β} {l : list α} : b ∈ map f l ↔ ∃ a, a ∈ l ∧ f a = b :=
⟨exists_of_mem_map, λ ⟨a, la, h⟩, by rw [← h]; exact mem_map_of_mem f la⟩
@[simp] theorem mem_map_of_inj {f : α → β} (H : injective f) {a : α} {l : list α} :
f a ∈ map f l ↔ a ∈ l :=
⟨λ m, let ⟨a', m', e⟩ := exists_of_mem_map m in H e ▸ m', mem_map_of_mem _⟩
@[simp] theorem mem_join {a : α} : ∀ {L : list (list α)}, a ∈ join L ↔ ∃ l, l ∈ L ∧ a ∈ l
| [] := ⟨false.elim, λ⟨_, h, _⟩, false.elim h⟩
| (c :: L) := by simp only [join, mem_append, @mem_join L, mem_cons_iff, or_and_distrib_right, exists_or_distrib, exists_eq_left]
theorem exists_of_mem_join {a : α} {L : list (list α)} : a ∈ join L → ∃ l, l ∈ L ∧ a ∈ l :=
mem_join.1
theorem mem_join_of_mem {a : α} {L : list (list α)} {l} (lL : l ∈ L) (al : a ∈ l) : a ∈ join L :=
mem_join.2 ⟨l, lL, al⟩
@[simp] theorem mem_bind {b : β} {l : list α} {f : α → list β} : b ∈ list.bind l f ↔ ∃ a ∈ l, b ∈ f a :=
iff.trans mem_join
⟨λ ⟨l', h1, h2⟩, let ⟨a, al, fa⟩ := exists_of_mem_map h1 in ⟨a, al, fa.symm ▸ h2⟩,
λ ⟨a, al, bfa⟩, ⟨f a, mem_map_of_mem _ al, bfa⟩⟩
theorem exists_of_mem_bind {b : β} {l : list α} {f : α → list β} : b ∈ list.bind l f → ∃ a ∈ l, b ∈ f a :=
mem_bind.1
theorem mem_bind_of_mem {b : β} {l : list α} {f : α → list β} {a} (al : a ∈ l) (h : b ∈ f a) : b ∈ list.bind l f :=
mem_bind.2 ⟨a, al, h⟩
lemma bind_map {g : α → list β} {f : β → γ} :
∀(l : list α), list.map f (l.bind g) = l.bind (λa, (g a).map f)
| [] := rfl
| (a::l) := by simp only [cons_bind, map_append, bind_map l]
/- bounded quantifiers over lists -/
theorem forall_mem_nil (p : α → Prop) : ∀ x ∈ @nil α, p x.
@[simp] theorem forall_mem_cons' {p : α → Prop} {a : α} {l : list α} :
(∀ (x : α), x = a ∨ x ∈ l → p x) ↔ p a ∧ ∀ x ∈ l, p x :=
by simp only [or_imp_distrib, forall_and_distrib, forall_eq]
theorem forall_mem_cons {p : α → Prop} {a : α} {l : list α} :
(∀ x ∈ a :: l, p x) ↔ p a ∧ ∀ x ∈ l, p x :=
by simp only [mem_cons_iff, forall_mem_cons']
theorem forall_mem_of_forall_mem_cons {p : α → Prop} {a : α} {l : list α}
(h : ∀ x ∈ a :: l, p x) :
∀ x ∈ l, p x :=
(forall_mem_cons.1 h).2
theorem forall_mem_singleton {p : α → Prop} {a : α} : (∀ x ∈ [a], p x) ↔ p a :=
by simp only [mem_singleton, forall_eq]
theorem forall_mem_append {p : α → Prop} {l₁ l₂ : list α} :
(∀ x ∈ l₁ ++ l₂, p x) ↔ (∀ x ∈ l₁, p x) ∧ (∀ x ∈ l₂, p x) :=
by simp only [mem_append, or_imp_distrib, forall_and_distrib]
theorem not_exists_mem_nil (p : α → Prop) : ¬ ∃ x ∈ @nil α, p x.
theorem exists_mem_cons_of {p : α → Prop} {a : α} (l : list α) (h : p a) :
∃ x ∈ a :: l, p x :=
bex.intro a (mem_cons_self _ _) h
theorem exists_mem_cons_of_exists {p : α → Prop} {a : α} {l : list α} (h : ∃ x ∈ l, p x) :
∃ x ∈ a :: l, p x :=
bex.elim h (λ x xl px, bex.intro x (mem_cons_of_mem _ xl) px)
theorem or_exists_of_exists_mem_cons {p : α → Prop} {a : α} {l : list α} (h : ∃ x ∈ a :: l, p x) :
p a ∨ ∃ x ∈ l, p x :=
bex.elim h (λ x xal px,
or.elim (eq_or_mem_of_mem_cons xal)
(assume : x = a, begin rw ←this, left, exact px end)
(assume : x ∈ l, or.inr (bex.intro x this px)))
@[simp] theorem exists_mem_cons_iff (p : α → Prop) (a : α) (l : list α) :
(∃ x ∈ a :: l, p x) ↔ p a ∨ ∃ x ∈ l, p x :=
iff.intro or_exists_of_exists_mem_cons
(assume h, or.elim h (exists_mem_cons_of l) exists_mem_cons_of_exists)
/- list subset -/
theorem subset_def {l₁ l₂ : list α} : l₁ ⊆ l₂ ↔ ∀ ⦃a : α⦄, a ∈ l₁ → a ∈ l₂ := iff.rfl
theorem subset_app_of_subset_left (l l₁ l₂ : list α) : l ⊆ l₁ → l ⊆ l₁++l₂ :=
λ s, subset.trans s $ subset_append_left _ _
theorem subset_app_of_subset_right (l l₁ l₂ : list α) : l ⊆ l₂ → l ⊆ l₁++l₂ :=
λ s, subset.trans s $ subset_append_right _ _
@[simp] theorem cons_subset {a : α} {l m : list α} :
a::l ⊆ m ↔ a ∈ m ∧ l ⊆ m :=
by simp only [subset_def, mem_cons_iff, or_imp_distrib, forall_and_distrib, forall_eq]
theorem cons_subset_of_subset_of_mem {a : α} {l m : list α}
(ainm : a ∈ m) (lsubm : l ⊆ m) : a::l ⊆ m :=
cons_subset.2 ⟨ainm, lsubm⟩
theorem app_subset_of_subset_of_subset {l₁ l₂ l : list α} (l₁subl : l₁ ⊆ l) (l₂subl : l₂ ⊆ l) :
l₁ ++ l₂ ⊆ l :=
λ a h, (mem_append.1 h).elim (@l₁subl _) (@l₂subl _)
theorem eq_nil_of_subset_nil : ∀ {l : list α}, l ⊆ [] → l = []
| [] s := rfl
| (a::l) s := false.elim $ s $ mem_cons_self a l
theorem eq_nil_iff_forall_not_mem {l : list α} : l = [] ↔ ∀ a, a ∉ l :=
show l = [] ↔ l ⊆ [], from ⟨λ e, e ▸ subset.refl _, eq_nil_of_subset_nil⟩
theorem map_subset {l₁ l₂ : list α} (f : α → β) (H : l₁ ⊆ l₂) : map f l₁ ⊆ map f l₂ :=
λ x, by simp only [mem_map, not_and, exists_imp_distrib, and_imp]; exact λ a h e, ⟨a, H h, e⟩
/- append -/
lemma append_eq_has_append {L₁ L₂ : list α} : list.append L₁ L₂ = L₁ ++ L₂ := rfl
theorem append_ne_nil_of_ne_nil_left (s t : list α) : s ≠ [] → s ++ t ≠ [] :=
by induction s; intros; contradiction
theorem append_ne_nil_of_ne_nil_right (s t : list α) : t ≠ [] → s ++ t ≠ [] :=
by induction s; intros; contradiction
theorem append_foldl (f : α → β → α) (a : α) (s t : list β) : foldl f a (s ++ t) = foldl f (foldl f a s) t :=
by {induction s with b s H generalizing a, refl, simp only [foldl, cons_append], rw H _}
theorem append_foldr (f : α → β → β) (a : β) (s t : list α) : foldr f a (s ++ t) = foldr f (foldr f a t) s :=
by {induction s with b s H generalizing a, refl, simp only [foldr, cons_append], rw H _}
@[simp] lemma append_eq_nil {p q : list α} : (p ++ q) = [] ↔ p = [] ∧ q = [] :=
by cases p; simp only [nil_append, cons_append, eq_self_iff_true, true_and, false_and]
@[simp] lemma nil_eq_append_iff {a b : list α} : [] = a ++ b ↔ a = [] ∧ b = [] :=
by rw [eq_comm, append_eq_nil]
lemma append_eq_cons_iff {a b c : list α} {x : α} :
a ++ b = x :: c ↔ (a = [] ∧ b = x :: c) ∨ (∃a', a = x :: a' ∧ c = a' ++ b) :=
by cases a; simp only [and_assoc, @eq_comm _ c, nil_append, cons_append, eq_self_iff_true,
true_and, false_and, exists_false, false_or, or_false, exists_and_distrib_left, exists_eq_left']
lemma cons_eq_append_iff {a b c : list α} {x : α} :
(x :: c : list α) = a ++ b ↔ (a = [] ∧ b = x :: c) ∨ (∃a', a = x :: a' ∧ c = a' ++ b) :=
by rw [eq_comm, append_eq_cons_iff]
lemma append_eq_append_iff {a b c d : list α} :
a ++ b = c ++ d ↔ (∃a', c = a ++ a' ∧ b = a' ++ d) ∨ (∃c', a = c ++ c' ∧ d = c' ++ b) :=
begin
induction a generalizing c,
case nil { rw nil_append, split,
{ rintro rfl, left, exact ⟨_, rfl, rfl⟩ },
{ rintro (⟨a', rfl, rfl⟩ | ⟨a', H, rfl⟩), {refl}, {rw [← append_assoc, ← H], refl} } },
case cons : a as ih {
cases c,
{ simp only [cons_append, nil_append, false_and, exists_false, false_or, exists_eq_left'], exact eq_comm },
{ simp only [cons_append, @eq_comm _ a, ih, and_assoc, and_or_distrib_left, exists_and_distrib_left] } }
end
/-- Split a list at an index. `split 2 [a, b, c] = ([a, b], [c])` -/
def split_at : ℕ → list α → list α × list α
| 0 a := ([], a)
| (succ n) [] := ([], [])
| (succ n) (x :: xs) := let (l, r) := split_at n xs in (x :: l, r)
@[simp] theorem split_at_eq_take_drop : ∀ (n : ℕ) (l : list α), split_at n l = (take n l, drop n l)
| 0 a := rfl
| (succ n) [] := rfl
| (succ n) (x :: xs) := by simp only [split_at, split_at_eq_take_drop n xs, take, drop]
@[simp] theorem take_append_drop : ∀ (n : ℕ) (l : list α), take n l ++ drop n l = l
| 0 a := rfl
| (succ n) [] := rfl
| (succ n) (x :: xs) := congr_arg (cons x) $ take_append_drop n xs
-- TODO(Leo): cleanup proof after arith dec proc
theorem append_inj : ∀ {s₁ s₂ t₁ t₂ : list α}, s₁ ++ t₁ = s₂ ++ t₂ → length s₁ = length s₂ → s₁ = s₂ ∧ t₁ = t₂
| [] [] t₁ t₂ h hl := ⟨rfl, h⟩
| (a::s₁) [] t₁ t₂ h hl := list.no_confusion $ eq_nil_of_length_eq_zero hl
| [] (b::s₂) t₁ t₂ h hl := list.no_confusion $ eq_nil_of_length_eq_zero hl.symm
| (a::s₁) (b::s₂) t₁ t₂ h hl := list.no_confusion h $ λab hap,
let ⟨e1, e2⟩ := @append_inj s₁ s₂ t₁ t₂ hap (succ.inj hl) in
by rw [ab, e1, e2]; exact ⟨rfl, rfl⟩
theorem append_inj_left {s₁ s₂ t₁ t₂ : list α} (h : s₁ ++ t₁ = s₂ ++ t₂) (hl : length s₁ = length s₂) : t₁ = t₂ :=
(append_inj h hl).right
theorem append_inj_right {s₁ s₂ t₁ t₂ : list α} (h : s₁ ++ t₁ = s₂ ++ t₂) (hl : length s₁ = length s₂) : s₁ = s₂ :=
(append_inj h hl).left
theorem append_inj' {s₁ s₂ t₁ t₂ : list α} (h : s₁ ++ t₁ = s₂ ++ t₂) (hl : length t₁ = length t₂) : s₁ = s₂ ∧ t₁ = t₂ :=
append_inj h $ @nat.add_right_cancel _ (length t₁) _ $
let hap := congr_arg length h in by simp only [length_append] at hap; rwa [← hl] at hap
theorem append_inj_left' {s₁ s₂ t₁ t₂ : list α} (h : s₁ ++ t₁ = s₂ ++ t₂) (hl : length t₁ = length t₂) : t₁ = t₂ :=
(append_inj' h hl).right
theorem append_inj_right' {s₁ s₂ t₁ t₂ : list α} (h : s₁ ++ t₁ = s₂ ++ t₂) (hl : length t₁ = length t₂) : s₁ = s₂ :=
(append_inj' h hl).left
theorem append_left_cancel {s t₁ t₂ : list α} (h : s ++ t₁ = s ++ t₂) : t₁ = t₂ :=
append_inj_left h rfl
theorem append_right_cancel {s₁ s₂ t : list α} (h : s₁ ++ t = s₂ ++ t) : s₁ = s₂ :=
append_inj_right' h rfl
theorem append_left_inj {t₁ t₂ : list α} (s) : s ++ t₁ = s ++ t₂ ↔ t₁ = t₂ :=
⟨append_left_cancel, congr_arg _⟩
theorem append_right_inj {s₁ s₂ : list α} (t) : s₁ ++ t = s₂ ++ t ↔ s₁ = s₂ :=
⟨append_right_cancel, congr_arg _⟩
theorem map_eq_append_split {f : α → β} {l : list α} {s₁ s₂ : list β}
(h : map f l = s₁ ++ s₂) : ∃ l₁ l₂, l = l₁ ++ l₂ ∧ map f l₁ = s₁ ∧ map f l₂ = s₂ :=
begin
have := h, rw [← take_append_drop (length s₁) l] at this ⊢,
rw map_append at this,
refine ⟨_, _, rfl, append_inj this _⟩,
rw [length_map, length_take, min_eq_left],
rw [← length_map f l, h, length_append],
apply nat.le_add_right
end
/- join -/
attribute [simp] join
theorem join_eq_nil : ∀ {L : list (list α)}, join L = [] ↔ ∀ l ∈ L, l = []
| [] := iff_of_true rfl (forall_mem_nil _)
| (l::L) := by simp only [join, append_eq_nil, join_eq_nil, forall_mem_cons]
@[simp] theorem join_append (L₁ L₂ : list (list α)) : join (L₁ ++ L₂) = join L₁ ++ join L₂ :=
by induction L₁; [refl, simp only [*, join, cons_append, append_assoc]]
/- repeat -/
@[simp] theorem repeat_succ (a : α) (n) : repeat a (n + 1) = a :: repeat a n := rfl
theorem eq_of_mem_repeat {a b : α} : ∀ {n}, b ∈ repeat a n → b = a
| (n+1) h := or.elim h id $ @eq_of_mem_repeat _
theorem eq_repeat_of_mem {a : α} : ∀ {l : list α}, (∀ b ∈ l, b = a) → l = repeat a l.length
| [] H := rfl
| (b::l) H := by cases forall_mem_cons.1 H with H₁ H₂;
unfold length repeat; congr; [exact H₁, exact eq_repeat_of_mem H₂]
theorem eq_repeat' {a : α} {l : list α} : l = repeat a l.length ↔ ∀ b ∈ l, b = a :=
⟨λ h, h.symm ▸ λ b, eq_of_mem_repeat, eq_repeat_of_mem⟩
theorem eq_repeat {a : α} {n} {l : list α} : l = repeat a n ↔ length l = n ∧ ∀ b ∈ l, b = a :=
⟨λ h, h.symm ▸ ⟨length_repeat _ _, λ b, eq_of_mem_repeat⟩,
λ ⟨e, al⟩, e ▸ eq_repeat_of_mem al⟩
theorem repeat_add (a : α) (m n) : repeat a (m + n) = repeat a m ++ repeat a n :=
by induction m; simp only [*, zero_add, succ_add, repeat]; split; refl
theorem repeat_subset_singleton (a : α) (n) : repeat a n ⊆ [a] :=
λ b h, mem_singleton.2 (eq_of_mem_repeat h)
@[simp] theorem map_const (l : list α) (b : β) : map (function.const α b) l = repeat b l.length :=
by induction l; [refl, simp only [*, map]]; split; refl
theorem eq_of_mem_map_const {b₁ b₂ : β} {l : list α} (h : b₁ ∈ map (function.const α b₂) l) : b₁ = b₂ :=
by rw map_const at h; exact eq_of_mem_repeat h
@[simp] theorem map_repeat (f : α → β) (a : α) (n) : map f (repeat a n) = repeat (f a) n :=
by induction n; [refl, simp only [*, repeat, map]]; split; refl
@[simp] theorem tail_repeat (a : α) (n) : tail (repeat a n) = repeat a n.pred :=
by cases n; refl
@[simp] theorem join_repeat_nil (n : ℕ) : join (repeat [] n) = @nil α :=
by induction n; [refl, simp only [*, repeat, join, append_nil]]
/- bind -/
@[simp] theorem bind_eq_bind {α β} (f : α → list β) (l : list α) :
l >>= f = l.bind f := rfl
@[simp] theorem bind_append {α β} (f : α → list β) (l₁ l₂ : list α) :
(l₁ ++ l₂).bind f = l₁.bind f ++ l₂.bind f :=
append_bind _ _ _
/- concat -/
/-- Concatenate an element at the end of a list. `concat [a, b] c = [a, b, c]` -/
@[simp] def concat : list α → α → list α
| [] a := [a]
| (b::l) a := b :: concat l a
@[simp] theorem concat_nil (a : α) : concat [] a = [a] := rfl
@[simp] theorem concat_cons (a b : α) (l : list α) : concat (a :: l) b = a :: concat l b := rfl
@[simp] theorem concat_ne_nil (a : α) (l : list α) : concat l a ≠ [] :=
by induction l; intro h; contradiction
@[simp] theorem concat_append (a : α) (l₁ l₂ : list α) : concat l₁ a ++ l₂ = l₁ ++ a :: l₂ :=
by induction l₁; simp only [*, cons_append, concat]; split; refl
@[simp] theorem concat_eq_append (a : α) (l : list α) : concat l a = l ++ [a] :=
by induction l; simp only [*, concat]; split; refl
@[simp] theorem length_concat (a : α) (l : list α) : length (concat l a) = succ (length l) :=
by simp only [concat_eq_append, length_append, length]
theorem append_concat (a : α) (l₁ l₂ : list α) : l₁ ++ concat l₂ a = concat (l₁ ++ l₂) a :=
by induction l₂ with b l₂ ih; simp only [concat_eq_append, nil_append, cons_append, append_assoc]
/- reverse -/
@[simp] theorem reverse_nil : reverse (@nil α) = [] := rfl
local attribute [simp] reverse_core
@[simp] theorem reverse_cons (a : α) (l : list α) : reverse (a::l) = reverse l ++ [a] :=
have aux : ∀ l₁ l₂, reverse_core l₁ l₂ ++ [a] = reverse_core l₁ (l₂ ++ [a]),
by intro l₁; induction l₁; intros; [refl, simp only [*, reverse_core, cons_append]],
(aux l nil).symm
theorem reverse_core_eq (l₁ l₂ : list α) : reverse_core l₁ l₂ = reverse l₁ ++ l₂ :=
by induction l₁ generalizing l₂; [refl, simp only [*, reverse_core, reverse_cons, append_assoc]]; refl
theorem reverse_cons' (a : α) (l : list α) : reverse (a::l) = concat (reverse l) a :=
by simp only [reverse_cons, concat_eq_append]
@[simp] theorem reverse_singleton (a : α) : reverse [a] = [a] := rfl
@[simp] theorem reverse_append (s t : list α) : reverse (s ++ t) = (reverse t) ++ (reverse s) :=
by induction s; [rw [nil_append, reverse_nil, append_nil],
simp only [*, cons_append, reverse_cons, append_assoc]]
@[simp] theorem reverse_reverse (l : list α) : reverse (reverse l) = l :=
by induction l; [refl, simp only [*, reverse_cons, reverse_append]]; refl
theorem reverse_injective : injective (@reverse α) :=
injective_of_left_inverse reverse_reverse
@[simp] theorem reverse_inj {l₁ l₂ : list α} : reverse l₁ = reverse l₂ ↔ l₁ = l₂ :=
reverse_injective.eq_iff
@[simp] theorem reverse_eq_nil {l : list α} : reverse l = [] ↔ l = [] :=
@reverse_inj _ l []
theorem concat_eq_reverse_cons (a : α) (l : list α) : concat l a = reverse (a :: reverse l) :=
by simp only [concat_eq_append, reverse_cons, reverse_reverse]
@[simp] theorem length_reverse (l : list α) : length (reverse l) = length l :=
by induction l; [refl, simp only [*, reverse_cons, length_append, length]]
@[simp] theorem map_reverse (f : α → β) (l : list α) : map f (reverse l) = reverse (map f l) :=
by induction l; [refl, simp only [*, map, reverse_cons, map_append]]
theorem map_reverse_core (f : α → β) (l₁ l₂ : list α) :
map f (reverse_core l₁ l₂) = reverse_core (map f l₁) (map f l₂) :=
by simp only [reverse_core_eq, map_append, map_reverse]
@[simp] theorem mem_reverse {a : α} {l : list α} : a ∈ reverse l ↔ a ∈ l :=
by induction l; [refl, simp only [*, reverse_cons, mem_append, mem_singleton, mem_cons_iff, not_mem_nil, false_or, or_false, or_comm]]
@[simp] theorem reverse_repeat (a : α) (n) : reverse (repeat a n) = repeat a n :=
eq_repeat.2 ⟨by simp only [length_reverse, length_repeat], λ b h, eq_of_mem_repeat (mem_reverse.1 h)⟩
@[elab_as_eliminator] def reverse_rec_on {C : list α → Sort*}
(l : list α) (H0 : C [])
(H1 : ∀ (l : list α) (a : α), C l → C (l ++ [a])) : C l :=
begin
rw ← reverse_reverse l,
induction reverse l,
{ exact H0 },
{ rw reverse_cons, exact H1 _ _ ih }
end
/- last -/
@[simp] theorem last_cons {a : α} {l : list α} : ∀ (h₁ : a :: l ≠ nil) (h₂ : l ≠ nil), last (a :: l) h₁ = last l h₂ :=
by {induction l; intros, contradiction, reflexivity}
@[simp] theorem last_append {a : α} (l : list α) (h : l ++ [a] ≠ []) : last (l ++ [a]) h = a :=
by induction l; [refl, simp only [cons_append, last_cons _ (λ H, cons_ne_nil _ _ (append_eq_nil.1 H).2), *]]
theorem last_concat {a : α} (l : list α) (h : concat l a ≠ []) : last (concat l a) h = a :=
by simp only [concat_eq_append, last_append]
@[simp] theorem last_singleton (a : α) (h : [a] ≠ []) : last [a] h = a := rfl
@[simp] theorem last_cons_cons (a₁ a₂ : α) (l : list α) (h : a₁::a₂::l ≠ []) :
last (a₁::a₂::l) h = last (a₂::l) (cons_ne_nil a₂ l) := rfl
theorem last_congr {l₁ l₂ : list α} (h₁ : l₁ ≠ []) (h₂ : l₂ ≠ []) (h₃ : l₁ = l₂) :
last l₁ h₁ = last l₂ h₂ :=
by subst l₁
/- head and tail -/
@[simp] def head' : list α → option α
| [] := none
| (a :: l) := some a
theorem head_eq_head' [inhabited α] (l : list α) : head l = (head' l).iget :=
by cases l; refl
@[simp] theorem head_cons [inhabited α] (a : α) (l : list α) : head (a::l) = a := rfl
@[simp] theorem tail_nil : tail (@nil α) = [] := rfl
@[simp] theorem tail_cons (a : α) (l : list α) : tail (a::l) = l := rfl
@[simp] theorem head_append [inhabited α] (t : list α) {s : list α} (h : s ≠ []) : head (s ++ t) = head s :=
by {induction s, contradiction, refl}
theorem cons_head_tail [inhabited α] {l : list α} (h : l ≠ []) : (head l)::(tail l) = l :=
by {induction l, contradiction, refl}
/- map -/
lemma map_congr {f g : α → β} : ∀ {l : list α}, (∀ x ∈ l, f x = g x) → map f l = map g l
| [] _ := rfl
| (a::l) h := let ⟨h₁, h₂⟩ := forall_mem_cons.1 h in
by rw [map, map, h₁, map_congr h₂]
theorem map_concat (f : α → β) (a : α) (l : list α) : map f (concat l a) = concat (map f l) (f a) :=
by induction l; [refl, simp only [*, concat_eq_append, cons_append, map, map_append]]; split; refl
theorem map_id' {f : α → α} (h : ∀ x, f x = x) (l : list α) : map f l = l :=
by induction l; [refl, simp only [*, map]]; split; refl
@[simp] theorem foldl_map (g : β → γ) (f : α → γ → α) (a : α) (l : list β) : foldl f a (map g l) = foldl (λx y, f x (g y)) a l :=
by revert a; induction l; intros; [refl, simp only [*, map, foldl]]
@[simp] theorem foldr_map (g : β → γ) (f : γ → α → α) (a : α) (l : list β) : foldr f a (map g l) = foldr (f ∘ g) a l :=
by revert a; induction l; intros; [refl, simp only [*, map, foldr]]
theorem foldl_hom (f : α → β) (g : α → γ → α) (g' : β → γ → β) (a : α)
(h : ∀a x, f (g a x) = g' (f a) x) (l : list γ) : f (foldl g a l) = foldl g' (f a) l :=
by revert a; induction l; intros; [refl, simp only [*, foldl]]
theorem foldr_hom (f : α → β) (g : γ → α → α) (g' : γ → β → β) (a : α)
(h : ∀x a, f (g x a) = g' x (f a)) (l : list γ) : f (foldr g a l) = foldr g' (f a) l :=
by revert a; induction l; intros; [refl, simp only [*, foldr]]
theorem eq_nil_of_map_eq_nil {f : α → β} {l : list α} (h : map f l = nil) : l = nil :=
eq_nil_of_length_eq_zero $ by rw [← length_map f l, h]; refl
@[simp] theorem map_join (f : α → β) (L : list (list α)) :
map f (join L) = join (map (map f) L) :=
by induction L; [refl, simp only [*, join, map, map_append]]
theorem bind_ret_eq_map {α β} (f : α → β) (l : list α) :
l.bind (list.ret ∘ f) = map f l :=
by unfold list.bind; induction l; simp only [map, join, list.ret, cons_append, nil_append, *]; split; refl
@[simp] theorem map_eq_map {α β} (f : α → β) (l : list α) :
f <$> l = map f l := rfl
@[simp] theorem map_tail (f : α → β) (l) : map f (tail l) = tail (map f l) :=
by cases l; refl
/- map₂ -/
theorem nil_map₂ (f : α → β → γ) (l : list β) : map₂ f [] l = [] :=
by cases l; refl
theorem map₂_nil (f : α → β → γ) (l : list α) : map₂ f l [] = [] :=
by cases l; refl
/- sublists -/
@[simp] theorem nil_sublist : Π (l : list α), [] <+ l
| [] := sublist.slnil
| (a :: l) := sublist.cons _ _ a (nil_sublist l)
@[refl, simp] theorem sublist.refl : Π (l : list α), l <+ l
| [] := sublist.slnil
| (a :: l) := sublist.cons2 _ _ a (sublist.refl l)
@[trans] theorem sublist.trans {l₁ l₂ l₃ : list α} (h₁ : l₁ <+ l₂) (h₂ : l₂ <+ l₃) : l₁ <+ l₃ :=
sublist.rec_on h₂ (λ_ s, s)
(λl₂ l₃ a h₂ IH l₁ h₁, sublist.cons _ _ _ (IH l₁ h₁))
(λl₂ l₃ a h₂ IH l₁ h₁, @sublist.cases_on _ (λl₁ l₂', l₂' = a :: l₂ → l₁ <+ a :: l₃) _ _ h₁
(λ_, nil_sublist _)
(λl₁ l₂' a' h₁' e, match a', l₂', e, h₁' with ._, ._, rfl, h₁ := sublist.cons _ _ _ (IH _ h₁) end)
(λl₁ l₂' a' h₁' e, match a', l₂', e, h₁' with ._, ._, rfl, h₁ := sublist.cons2 _ _ _ (IH _ h₁) end) rfl)
l₁ h₁
@[simp] theorem sublist_cons (a : α) (l : list α) : l <+ a::l :=
sublist.cons _ _ _ (sublist.refl l)
theorem sublist_of_cons_sublist {a : α} {l₁ l₂ : list α} : a::l₁ <+ l₂ → l₁ <+ l₂ :=
sublist.trans (sublist_cons a l₁)
theorem cons_sublist_cons {l₁ l₂ : list α} (a : α) (s : l₁ <+ l₂) : a::l₁ <+ a::l₂ :=
sublist.cons2 _ _ _ s
@[simp] theorem sublist_append_left : Π (l₁ l₂ : list α), l₁ <+ l₁++l₂
| [] l₂ := nil_sublist _
| (a::l₁) l₂ := cons_sublist_cons _ (sublist_append_left l₁ l₂)
@[simp] theorem sublist_append_right : Π (l₁ l₂ : list α), l₂ <+ l₁++l₂
| [] l₂ := sublist.refl _
| (a::l₁) l₂ := sublist.cons _ _ _ (sublist_append_right l₁ l₂)
theorem sublist_cons_of_sublist (a : α) {l₁ l₂ : list α} : l₁ <+ l₂ → l₁ <+ a::l₂ :=
sublist.cons _ _ _
theorem sublist_app_of_sublist_left {l l₁ l₂ : list α} (s : l <+ l₁) : l <+ l₁++l₂ :=
s.trans $ sublist_append_left _ _
theorem sublist_app_of_sublist_right {l l₁ l₂ : list α} (s : l <+ l₂) : l <+ l₁++l₂ :=
s.trans $ sublist_append_right _ _
theorem sublist_of_cons_sublist_cons {l₁ l₂ : list α} : ∀ {a : α}, a::l₁ <+ a::l₂ → l₁ <+ l₂
| ._ (sublist.cons ._ ._ a s) := sublist_of_cons_sublist s
| ._ (sublist.cons2 ._ ._ a s) := s
theorem cons_sublist_cons_iff {l₁ l₂ : list α} {a : α} : a::l₁ <+ a::l₂ ↔ l₁ <+ l₂ :=
⟨sublist_of_cons_sublist_cons, cons_sublist_cons _⟩
@[simp] theorem append_sublist_append_left {l₁ l₂ : list α} : ∀ l, l++l₁ <+ l++l₂ ↔ l₁ <+ l₂
| [] := iff.rfl
| (a::l) := cons_sublist_cons_iff.trans (append_sublist_append_left l)
theorem append_sublist_append_of_sublist_right {l₁ l₂ : list α} (h : l₁ <+ l₂) (l) : l₁++l <+ l₂++l :=
begin
induction h with _ _ a _ ih _ _ a _ ih,
{ refl },
{ apply sublist_cons_of_sublist a ih },
{ apply cons_sublist_cons a ih }
end
theorem sublist_or_mem_of_sublist {l l₁ l₂ : list α} {a : α} (h : l <+ l₁ ++ a::l₂) : l <+ l₁ ++ l₂ ∨ a ∈ l :=
begin
induction l₁ with b l₁ IH generalizing l,
{ cases h, { left, exact ‹l <+ l₂› }, { right, apply mem_cons_self } },
{ cases h with _ _ _ h _ _ _ h,
{ exact or.imp_left (sublist_cons_of_sublist _) (IH h) },
{ exact (IH h).imp (cons_sublist_cons _) (mem_cons_of_mem _) } }
end
theorem reverse_sublist {l₁ l₂ : list α} (h : l₁ <+ l₂) : l₁.reverse <+ l₂.reverse :=
begin
induction h with _ _ _ _ ih _ _ a _ ih, {refl},
{ rw reverse_cons, exact sublist_app_of_sublist_left ih },
{ rw [reverse_cons, reverse_cons], exact append_sublist_append_of_sublist_right ih [a] }
end
@[simp] theorem reverse_sublist_iff {l₁ l₂ : list α} : l₁.reverse <+ l₂.reverse ↔ l₁ <+ l₂ :=
⟨λ h, by have := reverse_sublist h; simp only [reverse_reverse] at this; assumption, reverse_sublist⟩
@[simp] theorem append_sublist_append_right {l₁ l₂ : list α} (l) : l₁++l <+ l₂++l ↔ l₁ <+ l₂ :=
⟨λ h, by have := reverse_sublist h; simp only [reverse_append, append_sublist_append_left, reverse_sublist_iff] at this; assumption,
λ h, append_sublist_append_of_sublist_right h l⟩
theorem subset_of_sublist : Π {l₁ l₂ : list α}, l₁ <+ l₂ → l₁ ⊆ l₂
| ._ ._ sublist.slnil b h := h
| ._ ._ (sublist.cons l₁ l₂ a s) b h := mem_cons_of_mem _ (subset_of_sublist s h)
| ._ ._ (sublist.cons2 l₁ l₂ a s) b h :=
match eq_or_mem_of_mem_cons h with
| or.inl h := h ▸ mem_cons_self _ _
| or.inr h := mem_cons_of_mem _ (subset_of_sublist s h)
end
theorem singleton_sublist {a : α} {l} : [a] <+ l ↔ a ∈ l :=
⟨λ h, subset_of_sublist h (mem_singleton_self _), λ h,
let ⟨s, t, e⟩ := mem_split h in e.symm ▸
(cons_sublist_cons _ (nil_sublist _)).trans (sublist_append_right _ _)⟩
theorem eq_nil_of_sublist_nil {l : list α} (s : l <+ []) : l = [] :=
eq_nil_of_subset_nil $ subset_of_sublist s
theorem repeat_sublist_repeat (a : α) {m n} : repeat a m <+ repeat a n ↔ m ≤ n :=
⟨λ h, by simpa only [length_repeat] using length_le_of_sublist h,
λ h, by induction h; [refl, simp only [*, repeat_succ, sublist.cons]] ⟩
theorem eq_of_sublist_of_length_eq : ∀ {l₁ l₂ : list α}, l₁ <+ l₂ → length l₁ = length l₂ → l₁ = l₂
| ._ ._ sublist.slnil h := rfl
| ._ ._ (sublist.cons l₁ l₂ a s) h :=
absurd (length_le_of_sublist s) $ not_le_of_gt $ by rw h; apply lt_succ_self
| ._ ._ (sublist.cons2 l₁ l₂ a s) h :=
by rw [length, length] at h; injection h with h; rw eq_of_sublist_of_length_eq s h
theorem eq_of_sublist_of_length_le {l₁ l₂ : list α} (s : l₁ <+ l₂) (h : length l₂ ≤ length l₁) : l₁ = l₂ :=
eq_of_sublist_of_length_eq s (le_antisymm (length_le_of_sublist s) h)
theorem sublist_antisymm {l₁ l₂ : list α} (s₁ : l₁ <+ l₂) (s₂ : l₂ <+ l₁) : l₁ = l₂ :=
eq_of_sublist_of_length_le s₁ (length_le_of_sublist s₂)
instance decidable_sublist [decidable_eq α] : ∀ (l₁ l₂ : list α), decidable (l₁ <+ l₂)
| [] l₂ := is_true $ nil_sublist _
| (a::l₁) [] := is_false $ λh, list.no_confusion $ eq_nil_of_sublist_nil h
| (a::l₁) (b::l₂) :=
if h : a = b then
decidable_of_decidable_of_iff (decidable_sublist l₁ l₂) $
by rw [← h]; exact ⟨cons_sublist_cons _, sublist_of_cons_sublist_cons⟩
else decidable_of_decidable_of_iff (decidable_sublist (a::l₁) l₂)
⟨sublist_cons_of_sublist _, λs, match a, l₁, s, h with
| a, l₁, sublist.cons ._ ._ ._ s', h := s'
| ._, ._, sublist.cons2 t ._ ._ s', h := absurd rfl h
end⟩
/- index_of -/
section index_of
variable [decidable_eq α]
@[simp] theorem index_of_nil (a : α) : index_of a [] = 0 := rfl
theorem index_of_cons (a b : α) (l : list α) : index_of a (b::l) = if a = b then 0 else succ (index_of a l) := rfl
theorem index_of_cons_eq {a b : α} (l : list α) : a = b → index_of a (b::l) = 0 :=
assume e, if_pos e
@[simp] theorem index_of_cons_self (a : α) (l : list α) : index_of a (a::l) = 0 :=
index_of_cons_eq _ rfl
@[simp] theorem index_of_cons_ne {a b : α} (l : list α) : a ≠ b → index_of a (b::l) = succ (index_of a l) :=
assume n, if_neg n
theorem index_of_eq_length {a : α} {l : list α} : index_of a l = length l ↔ a ∉ l :=
begin
induction l with b l ih,
{ exact iff_of_true rfl (not_mem_nil _) },
simp only [length, mem_cons_iff, index_of_cons], split_ifs,
{ exact iff_of_false (by rintro ⟨⟩) (λ H, H $ or.inl h) },
{ simp only [h, false_or], rw ← ih, exact succ_inj' }
end
@[simp] theorem index_of_of_not_mem {l : list α} {a : α} : a ∉ l → index_of a l = length l :=
index_of_eq_length.2
theorem index_of_le_length {a : α} {l : list α} : index_of a l ≤ length l :=
begin
induction l with b l ih, {refl},
simp only [length, index_of_cons],
by_cases h : a = b, {rw if_pos h, exact nat.zero_le _},
rw if_neg h, exact succ_le_succ ih
end
theorem index_of_lt_length {a} {l : list α} : index_of a l < length l ↔ a ∈ l :=
⟨λh, by_contradiction $ λ al, ne_of_lt h $ index_of_eq_length.2 al,
λal, lt_of_le_of_ne index_of_le_length $ λ h, index_of_eq_length.1 h al⟩
end index_of
/- nth element -/
theorem nth_le_of_mem : ∀ {a} {l : list α}, a ∈ l → ∃ n h, nth_le l n h = a
| a (_ :: l) (or.inl rfl) := ⟨0, succ_pos _, rfl⟩
| a (b :: l) (or.inr m) :=
let ⟨n, h, e⟩ := nth_le_of_mem m in ⟨n+1, succ_lt_succ h, e⟩
theorem nth_le_nth : ∀ {l : list α} {n} h, nth l n = some (nth_le l n h)
| (a :: l) 0 h := rfl
| (a :: l) (n+1) h := @nth_le_nth l n _
theorem nth_ge_len : ∀ {l : list α} {n}, n ≥ length l → nth l n = none
| [] n h := rfl
| (a :: l) (n+1) h := nth_ge_len (le_of_succ_le_succ h)
theorem nth_eq_some {l : list α} {n a} : nth l n = some a ↔ ∃ h, nth_le l n h = a :=
⟨λ e,
have h : n < length l, from lt_of_not_ge $ λ hn,
by rw nth_ge_len hn at e; contradiction,
⟨h, by rw nth_le_nth h at e;
injection e with e; apply nth_le_mem⟩,
λ ⟨h, e⟩, e ▸ nth_le_nth _⟩
theorem nth_of_mem {a} {l : list α} (h : a ∈ l) : ∃ n, nth l n = some a :=
let ⟨n, h, e⟩ := nth_le_of_mem h in ⟨n, by rw [nth_le_nth, e]⟩
theorem nth_le_mem : ∀ (l : list α) n h, nth_le l n h ∈ l
| (a :: l) 0 h := mem_cons_self _ _
| (a :: l) (n+1) h := mem_cons_of_mem _ (nth_le_mem l _ _)
theorem nth_mem {l : list α} {n a} (e : nth l n = some a) : a ∈ l :=
let ⟨h, e⟩ := nth_eq_some.1 e in e ▸ nth_le_mem _ _ _
theorem mem_iff_nth_le {a} {l : list α} : a ∈ l ↔ ∃ n h, nth_le l n h = a :=
⟨nth_le_of_mem, λ ⟨n, h, e⟩, e ▸ nth_le_mem _ _ _⟩
theorem mem_iff_nth {a} {l : list α} : a ∈ l ↔ ∃ n, nth l n = some a :=
mem_iff_nth_le.trans $ exists_congr $ λ n, nth_eq_some.symm
@[simp] theorem nth_map (f : α → β) : ∀ l n, nth (map f l) n = (nth l n).map f
| [] n := rfl
| (a :: l) 0 := rfl
| (a :: l) (n+1) := nth_map l n
theorem nth_le_map (f : α → β) {l n} (H1 H2) : nth_le (map f l) n H1 = f (nth_le l n H2) :=
option.some.inj $ by rw [← nth_le_nth, nth_map, nth_le_nth]; refl
@[simp] theorem nth_le_map' (f : α → β) {l n} (H) :
nth_le (map f l) n H = f (nth_le l n (length_map f l ▸ H)) :=
nth_le_map f _ _
@[extensionality]
theorem ext : ∀ {l₁ l₂ : list α}, (∀n, nth l₁ n = nth l₂ n) → l₁ = l₂
| [] [] h := rfl
| (a::l₁) [] h := by have h0 := h 0; contradiction
| [] (a'::l₂) h := by have h0 := h 0; contradiction
| (a::l₁) (a'::l₂) h := by have h0 : some a = some a' := h 0; injection h0 with aa;
simp only [aa, ext (λn, h (n+1))]; split; refl
theorem ext_le {l₁ l₂ : list α} (hl : length l₁ = length l₂) (h : ∀n h₁ h₂, nth_le l₁ n h₁ = nth_le l₂ n h₂) : l₁ = l₂ :=
ext $ λn, if h₁ : n < length l₁
then by rw [nth_le_nth, nth_le_nth, h n h₁ (by rwa [← hl])]
else let h₁ := le_of_not_gt h₁ in by rw [nth_ge_len h₁, nth_ge_len (by rwa [← hl])]
@[simp] theorem index_of_nth_le [decidable_eq α] {a : α} : ∀ {l : list α} h, nth_le l (index_of a l) h = a
| (b::l) h := by by_cases h' : a = b; simp only [h', if_pos, if_false, index_of_cons, nth_le, @index_of_nth_le l]
@[simp] theorem index_of_nth [decidable_eq α] {a : α} {l : list α} (h : a ∈ l) : nth l (index_of a l) = some a :=
by rw [nth_le_nth, index_of_nth_le (index_of_lt_length.2 h)]
theorem nth_le_reverse_aux1 : ∀ (l r : list α) (i h1 h2), nth_le (reverse_core l r) (i + length l) h1 = nth_le r i h2
| [] r i := λh1 h2, rfl
| (a :: l) r i := by rw (show i + length (a :: l) = i + 1 + length l, from add_right_comm i (length l) 1); exact
λh1 h2, nth_le_reverse_aux1 l (a :: r) (i+1) h1 (succ_lt_succ h2)
theorem nth_le_reverse_aux2 : ∀ (l r : list α) (i : nat) (h1) (h2),
nth_le (reverse_core l r) (length l - 1 - i) h1 = nth_le l i h2
| [] r i h1 h2 := absurd h2 (not_lt_zero _)
| (a :: l) r 0 h1 h2 := begin
have aux := nth_le_reverse_aux1 l (a :: r) 0,
rw zero_add at aux,
exact aux _ (zero_lt_succ _)
end
| (a :: l) r (i+1) h1 h2 := begin
have aux := nth_le_reverse_aux2 l (a :: r) i,
have heq := calc length (a :: l) - 1 - (i + 1)
= length l - (1 + i) : by rw add_comm; refl
... = length l - 1 - i : by rw nat.sub_sub,
rw [← heq] at aux,
apply aux
end
@[simp] theorem nth_le_reverse (l : list α) (i : nat) (h1 h2) :
nth_le (reverse l) (length l - 1 - i) h1 = nth_le l i h2 :=
nth_le_reverse_aux2 _ _ _ _ _
/-- Convert a list into an array (whose length is the length of `l`) -/
def to_array (l : list α) : array l.length α :=
{data := λ v, l.nth_le v.1 v.2}
/-- "inhabited" `nth` function: returns `default` instead of `none` in the case
that the index is out of bounds. -/
@[simp] def inth [h : inhabited α] (l : list α) (n : nat) : α := (nth l n).iget
/- nth tail operation -/
/-- Apply a function to the nth tail of `l`.
`modify_nth_tail f 2 [a, b, c] = [a, b] ++ f [c]`. Returns the input without
using `f` if the index is larger than the length of the list. -/
@[simp] def modify_nth_tail (f : list α → list α) : ℕ → list α → list α
| 0 l := f l
| (n+1) [] := []
| (n+1) (a::l) := a :: modify_nth_tail n l
/-- Apply `f` to the head of the list, if it exists. -/
@[simp] def modify_head (f : α → α) : list α → list α
| [] := []
| (a::l) := f a :: l
/-- Apply `f` to the nth element of the list, if it exists. -/
def modify_nth (f : α → α) : ℕ → list α → list α :=
modify_nth_tail (modify_head f)
lemma modify_nth_tail_modify_nth_tail {f g : list α → list α} (m : ℕ) :
∀n (l:list α), (l.modify_nth_tail f n).modify_nth_tail g (m + n) =
l.modify_nth_tail (λl, (f l).modify_nth_tail g m) n
| 0 l := rfl
| (n+1) [] := rfl
| (n+1) (a::l) := congr_arg (list.cons a) (modify_nth_tail_modify_nth_tail n l)
lemma modify_nth_tail_modify_nth_tail_le
{f g : list α → list α} (m n : ℕ) (l : list α) (h : n ≤ m) :
(l.modify_nth_tail f n).modify_nth_tail g m =
l.modify_nth_tail (λl, (f l).modify_nth_tail g (m - n)) n :=
begin
rcases le_iff_exists_add.1 h with ⟨m, rfl⟩,
rw [nat.add_sub_cancel_left, add_comm, modify_nth_tail_modify_nth_tail]
end
lemma modify_nth_tail_modify_nth_tail_same {f g : list α → list α} (n : ℕ) (l:list α) :
(l.modify_nth_tail f n).modify_nth_tail g n = l.modify_nth_tail (g ∘ f) n :=
by rw [modify_nth_tail_modify_nth_tail_le n n l (le_refl n), nat.sub_self]; refl
lemma modify_nth_tail_id :
∀n (l:list α), l.modify_nth_tail id n = l
| 0 l := rfl
| (n+1) [] := rfl
| (n+1) (a::l) := congr_arg (list.cons a) (modify_nth_tail_id n l)
theorem remove_nth_eq_nth_tail : ∀ n (l : list α), remove_nth l n = modify_nth_tail tail n l
| 0 l := by cases l; refl
| (n+1) [] := rfl
| (n+1) (a::l) := congr_arg (cons _) (remove_nth_eq_nth_tail _ _)
theorem update_nth_eq_modify_nth (a : α) : ∀ n (l : list α),
update_nth l n a = modify_nth (λ _, a) n l
| 0 l := by cases l; refl
| (n+1) [] := rfl
| (n+1) (b::l) := congr_arg (cons _) (update_nth_eq_modify_nth _ _)
theorem modify_nth_eq_update_nth (f : α → α) : ∀ n (l : list α),
modify_nth f n l = ((λ a, update_nth l n (f a)) <$> nth l n).get_or_else l
| 0 l := by cases l; refl
| (n+1) [] := rfl
| (n+1) (b::l) := (congr_arg (cons b)
(modify_nth_eq_update_nth n l)).trans $ by cases nth l n; refl
theorem nth_modify_nth (f : α → α) : ∀ n (l : list α) m,
nth (modify_nth f n l) m = (λ a, if n = m then f a else a) <$> nth l m
| n l 0 := by cases l; cases n; refl
| n [] (m+1) := by cases n; refl
| 0 (a::l) (m+1) := by cases nth l m; refl
| (n+1) (a::l) (m+1) := (nth_modify_nth n l m).trans $
by cases nth l m with b; by_cases n = m;
simp only [h, if_pos, if_true, if_false, option.map_none, option.map_some, mt succ_inj, not_false_iff]
theorem modify_nth_tail_length (f : list α → list α) (H : ∀ l, length (f l) = length l) :
∀ n l, length (modify_nth_tail f n l) = length l
| 0 l := H _
| (n+1) [] := rfl
| (n+1) (a::l) := @congr_arg _ _ _ _ (+1) (modify_nth_tail_length _ _)
@[simp] theorem modify_nth_length (f : α → α) :
∀ n l, length (modify_nth f n l) = length l :=
modify_nth_tail_length _ (λ l, by cases l; refl)
@[simp] theorem update_nth_length (l : list α) (n) (a : α) :
length (update_nth l n a) = length l :=
by simp only [update_nth_eq_modify_nth, modify_nth_length]
@[simp] theorem nth_modify_nth_eq (f : α → α) (n) (l : list α) :
nth (modify_nth f n l) n = f <$> nth l n :=
by simp only [nth_modify_nth, if_pos]
@[simp] theorem nth_modify_nth_ne (f : α → α) {m n} (l : list α) (h : m ≠ n) :
nth (modify_nth f m l) n = nth l n :=
by simp only [nth_modify_nth, if_neg h, id_map']
theorem nth_update_nth_eq (a : α) (n) (l : list α) :
nth (update_nth l n a) n = (λ _, a) <$> nth l n :=
by simp only [update_nth_eq_modify_nth, nth_modify_nth_eq]
theorem nth_update_nth_of_lt (a : α) {n} {l : list α} (h : n < length l) :
nth (update_nth l n a) n = some a :=
by rw [nth_update_nth_eq, nth_le_nth h]; refl
theorem nth_update_nth_ne (a : α) {m n} (l : list α) (h : m ≠ n) :
nth (update_nth l m a) n = nth l n :=
by simp only [update_nth_eq_modify_nth, nth_modify_nth_ne _ _ h]
section insert_nth
variable {a : α}
def insert_nth (n : ℕ) (a : α) : list α → list α := modify_nth_tail (list.cons a) n
@[simp] lemma insert_nth_nil (a : α) : insert_nth 0 a [] = [a] := rfl
lemma length_insert_nth : ∀n as, n ≤ length as → length (insert_nth n a as) = length as + 1
| 0 as h := rfl
| (n+1) [] h := (nat.not_succ_le_zero _ h).elim
| (n+1) (a'::as) h := congr_arg nat.succ $ length_insert_nth n as (nat.le_of_succ_le_succ h)
lemma remove_nth_insert_nth (n:ℕ) (l : list α) : (l.insert_nth n a).remove_nth n = l :=
by rw [remove_nth_eq_nth_tail, insert_nth, modify_nth_tail_modify_nth_tail_same];
from modify_nth_tail_id _ _
lemma insert_nth_remove_nth_of_ge : ∀n m as, n < length as → m ≥ n →
insert_nth m a (as.remove_nth n) = (as.insert_nth (m + 1) a).remove_nth n
| 0 0 [] has _ := (lt_irrefl _ has).elim
| 0 0 (a::as) has hmn := by simp [remove_nth, insert_nth]
| 0 (m+1) (a::as) has hmn := rfl
| (n+1) (m+1) (a::as) has hmn :=
congr_arg (cons a) $
insert_nth_remove_nth_of_ge n m as (nat.lt_of_succ_lt_succ has) (nat.le_of_succ_le_succ hmn)
lemma insert_nth_remove_nth_of_le : ∀n m as, n < length as → m ≤ n →
insert_nth m a (as.remove_nth n) = (as.insert_nth m a).remove_nth (n + 1)
| n 0 (a :: as) has hmn := rfl
| (n + 1) (m + 1) (a :: as) has hmn :=
congr_arg (cons a) $
insert_nth_remove_nth_of_le n m as (nat.lt_of_succ_lt_succ has) (nat.le_of_succ_le_succ hmn)
lemma insert_nth_comm (a b : α) :
∀(i j : ℕ) (l : list α) (h : i ≤ j) (hj : j ≤ length l),
(l.insert_nth i a).insert_nth (j + 1) b = (l.insert_nth j b).insert_nth i a
| 0 j l := by simp [insert_nth]
| (i + 1) 0 l := assume h, (nat.not_lt_zero _ h).elim
| (i + 1) (j+1) [] := by simp
| (i + 1) (j+1) (c::l) :=
assume h₀ h₁,
by simp [insert_nth]; exact insert_nth_comm i j l (nat.le_of_succ_le_succ h₀) (nat.le_of_succ_le_succ h₁)
end insert_nth
/- take, drop -/
@[simp] theorem take_zero (l : list α) : take 0 l = [] := rfl
@[simp] theorem take_nil : ∀ n, take n [] = ([] : list α)
| 0 := rfl
| (n+1) := rfl
theorem take_cons (n) (a : α) (l : list α) : take (succ n) (a::l) = a :: take n l := rfl
theorem take_all : ∀ (l : list α), take (length l) l = l
| [] := rfl
| (a::l) := begin change a :: (take (length l) l) = a :: l, rw take_all end
theorem take_all_of_ge : ∀ {n} {l : list α}, n ≥ length l → take n l = l
| 0 [] h := rfl
| 0 (a::l) h := absurd h (not_le_of_gt (zero_lt_succ _))
| (n+1) [] h := rfl
| (n+1) (a::l) h :=
begin
change a :: take n l = a :: l,
rw [take_all_of_ge (le_of_succ_le_succ h)]
end
@[simp] theorem take_left : ∀ l₁ l₂ : list α, take (length l₁) (l₁ ++ l₂) = l₁
| [] l₂ := rfl
| (a::l₁) l₂ := congr_arg (cons a) (take_left l₁ l₂)
theorem take_left' {l₁ l₂ : list α} {n} (h : length l₁ = n) :
take n (l₁ ++ l₂) = l₁ :=
by rw ← h; apply take_left
theorem take_take : ∀ (n m) (l : list α), take n (take m l) = take (min n m) l
| n 0 l := by rw [min_zero, take_zero, take_nil]
| 0 m l := by rw [zero_min, take_zero, take_zero]
| (succ n) (succ m) nil := by simp only [take_nil]
| (succ n) (succ m) (a::l) := by simp only [take, min_succ_succ, take_take n m l]; split; refl
@[simp] theorem drop_nil : ∀ n, drop n [] = ([] : list α)
| 0 := rfl
| (n+1) := rfl
@[simp] theorem drop_one : ∀ l : list α, drop 1 l = tail l
| [] := rfl
| (a :: l) := rfl
theorem drop_add : ∀ m n (l : list α), drop (m + n) l = drop m (drop n l)
| m 0 l := rfl
| m (n+1) [] := (drop_nil _).symm
| m (n+1) (a::l) := drop_add m n _
@[simp] theorem drop_left : ∀ l₁ l₂ : list α, drop (length l₁) (l₁ ++ l₂) = l₂
| [] l₂ := rfl
| (a::l₁) l₂ := drop_left l₁ l₂
theorem drop_left' {l₁ l₂ : list α} {n} (h : length l₁ = n) :
drop n (l₁ ++ l₂) = l₂ :=
by rw ← h; apply drop_left
theorem drop_eq_nth_le_cons : ∀ {n} {l : list α} h,
drop n l = nth_le l n h :: drop (n+1) l
| 0 (a::l) h := rfl
| (n+1) (a::l) h := @drop_eq_nth_le_cons n _ _
@[simp] theorem drop_drop (n : ℕ) : ∀ (m) (l : list α), drop n (drop m l) = drop (n + m) l
| m [] := by simp
| 0 l := by simp
| (m+1) (a::l) :=
calc drop n (drop (m + 1) (a :: l)) = drop n (drop m l) : rfl
... = drop (n + m) l : drop_drop m l
... = drop (n + (m + 1)) (a :: l) : rfl
theorem drop_take : ∀ (m : ℕ) (n : ℕ) (l : list α),
drop m (take (m + n) l) = take n (drop m l)
| 0 n _ := by simp
| (m+1) n nil := by simp
| (m+1) n (_::l) :=
have h: m + 1 + n = (m+n) + 1, by simp,
by simpa [take_cons, h] using drop_take m n l
theorem modify_nth_tail_eq_take_drop (f : list α → list α) (H : f [] = []) :
∀ n l, modify_nth_tail f n l = take n l ++ f (drop n l)
| 0 l := rfl
| (n+1) [] := H.symm
| (n+1) (b::l) := congr_arg (cons b) (modify_nth_tail_eq_take_drop n l)
theorem modify_nth_eq_take_drop (f : α → α) :
∀ n l, modify_nth f n l = take n l ++ modify_head f (drop n l) :=
modify_nth_tail_eq_take_drop _ rfl
theorem modify_nth_eq_take_cons_drop (f : α → α) {n l} (h) :
modify_nth f n l = take n l ++ f (nth_le l n h) :: drop (n+1) l :=
by rw [modify_nth_eq_take_drop, drop_eq_nth_le_cons h]; refl
theorem update_nth_eq_take_cons_drop (a : α) {n l} (h : n < length l) :
update_nth l n a = take n l ++ a :: drop (n+1) l :=
by rw [update_nth_eq_modify_nth, modify_nth_eq_take_cons_drop _ h]
@[simp] lemma update_nth_eq_nil (l : list α) (n : ℕ) (a : α) : l.update_nth n a = [] ↔ l = [] :=
by cases l; cases n; simp only [update_nth]
section take'
variable [inhabited α]
def take' : ∀ n, list α → list α
| 0 l := []
| (n+1) l := l.head :: take' n l.tail
@[simp] theorem take'_length : ∀ n l, length (@take' α _ n l) = n
| 0 l := rfl
| (n+1) l := congr_arg succ (take'_length _ _)
@[simp] theorem take'_nil : ∀ n, take' n (@nil α) = repeat (default _) n
| 0 := rfl
| (n+1) := congr_arg (cons _) (take'_nil _)
theorem take'_eq_take : ∀ {n} {l : list α},
n ≤ length l → take' n l = take n l
| 0 l h := rfl
| (n+1) (a::l) h := congr_arg (cons _) $
take'_eq_take $ le_of_succ_le_succ h
@[simp] theorem take'_left (l₁ l₂ : list α) : take' (length l₁) (l₁ ++ l₂) = l₁ :=
(take'_eq_take (by simp only [length_append, nat.le_add_right])).trans (take_left _ _)
theorem take'_left' {l₁ l₂ : list α} {n} (h : length l₁ = n) :
take' n (l₁ ++ l₂) = l₁ :=
by rw ← h; apply take'_left
end take'
/- take_while -/
/-- Get the longest initial segment of the list whose members all satisfy `p`.
`take_while (λ x, x < 3) [0, 2, 5, 1] = [0, 2]` -/
def take_while (p : α → Prop) [decidable_pred p] : list α → list α
| [] := []
| (a::l) := if p a then a :: take_while l else []
/- foldl, foldr, scanl, scanr -/
lemma foldl_ext (f g : α → β → α) (a : α)
{l : list β} (H : ∀ a : α, ∀ b ∈ l, f a b = g a b) :
foldl f a l = foldl g a l :=
begin
induction l with hd tl ih generalizing a, {refl},
unfold foldl,
rw [ih (λ a b bin, H a b $ mem_cons_of_mem _ bin), H a hd (mem_cons_self _ _)]
end
lemma foldr_ext (f g : α → β → β) (b : β)
{l : list α} (H : ∀ a ∈ l, ∀ b : β, f a b = g a b) :
foldr f b l = foldr g b l :=
begin
induction l with hd tl ih, {refl},
simp only [mem_cons_iff, or_imp_distrib, forall_and_distrib, forall_eq] at H,
simp only [foldr, ih H.2, H.1]
end
@[simp] theorem foldl_nil (f : α → β → α) (a : α) : foldl f a [] = a := rfl
@[simp] theorem foldl_cons (f : α → β → α) (a : α) (b : β) (l : list β) :
foldl f a (b::l) = foldl f (f a b) l := rfl
@[simp] theorem foldr_nil (f : α → β → β) (b : β) : foldr f b [] = b := rfl
@[simp] theorem foldr_cons (f : α → β → β) (b : β) (a : α) (l : list α) :
foldr f b (a::l) = f a (foldr f b l) := rfl
@[simp] theorem foldl_append (f : α → β → α) :
∀ (a : α) (l₁ l₂ : list β), foldl f a (l₁++l₂) = foldl f (foldl f a l₁) l₂
| a [] l₂ := rfl
| a (b::l₁) l₂ := by simp only [cons_append, foldl_cons, foldl_append (f a b) l₁ l₂]
@[simp] theorem foldr_append (f : α → β → β) :
∀ (b : β) (l₁ l₂ : list α), foldr f b (l₁++l₂) = foldr f (foldr f b l₂) l₁
| b [] l₂ := rfl
| b (a::l₁) l₂ := by simp only [cons_append, foldr_cons, foldr_append b l₁ l₂]
@[simp] theorem foldl_join (f : α → β → α) :
∀ (a : α) (L : list (list β)), foldl f a (join L) = foldl (foldl f) a L
| a [] := rfl
| a (l::L) := by simp only [join, foldl_append, foldl_cons, foldl_join (foldl f a l) L]
@[simp] theorem foldr_join (f : α → β → β) :
∀ (b : β) (L : list (list α)), foldr f b (join L) = foldr (λ l b, foldr f b l) b L
| a [] := rfl
| a (l::L) := by simp only [join, foldr_append, foldr_join a L, foldr_cons]
theorem foldl_reverse (f : α → β → α) (a : α) (l : list β) : foldl f a (reverse l) = foldr (λx y, f y x) a l :=
by induction l; [refl, simp only [*, reverse_cons, foldl_append, foldl_cons, foldl_nil, foldr]]
theorem foldr_reverse (f : α → β → β) (a : β) (l : list α) : foldr f a (reverse l) = foldl (λx y, f y x) a l :=
let t := foldl_reverse (λx y, f y x) a (reverse l) in
by rw reverse_reverse l at t; rwa t
@[simp] theorem foldr_eta : ∀ (l : list α), foldr cons [] l = l
| [] := rfl
| (x::l) := by simp only [foldr_cons, foldr_eta l]; split; refl
@[simp] theorem reverse_foldl {l : list α} : reverse (foldl (λ t h, h :: t) [] l) = l :=
by rw ←foldr_reverse; simp
/-- Fold a function `f` over the list from the left, returning the list
of partial results. `scanl (+) 0 [1, 2, 3] = [0, 1, 3, 6]` -/
def scanl (f : α → β → α) : α → list β → list α
| a [] := [a]
| a (b::l) := a :: scanl (f a b) l
def scanr_aux (f : α → β → β) (b : β) : list α → β × list β
| [] := (b, [])
| (a::l) := let (b', l') := scanr_aux l in (f a b', b' :: l')
/-- Fold a function `f` over the list from the right, returning the list
of partial results. `scanr (+) 0 [1, 2, 3] = [6, 5, 3, 0]` -/
def scanr (f : α → β → β) (b : β) (l : list α) : list β :=
let (b', l') := scanr_aux f b l in b' :: l'
@[simp] theorem scanr_nil (f : α → β → β) (b : β) : scanr f b [] = [b] := rfl
@[simp] theorem scanr_aux_cons (f : α → β → β) (b : β) : ∀ (a : α) (l : list α),
scanr_aux f b (a::l) = (foldr f b (a::l), scanr f b l)
| a [] := rfl
| a (x::l) := let t := scanr_aux_cons x l in
by simp only [scanr, scanr_aux, t, foldr_cons]
@[simp] theorem scanr_cons (f : α → β → β) (b : β) (a : α) (l : list α) :
scanr f b (a::l) = foldr f b (a::l) :: scanr f b l :=
by simp only [scanr, scanr_aux_cons, foldr_cons]; split; refl
section foldl_eq_foldr
-- foldl and foldr coincide when f is commutative and associative
variables {f : α → α → α} (hcomm : commutative f) (hassoc : associative f)
include hassoc
theorem foldl1_eq_foldr1 : ∀ a b l, foldl f a (l++[b]) = foldr f b (a::l)
| a b nil := rfl
| a b (c :: l) := by simp only [cons_append, foldl_cons, foldr_cons, foldl1_eq_foldr1 _ _ l]; rw hassoc
include hcomm
theorem foldl_eq_of_comm_of_assoc : ∀ a b l, foldl f a (b::l) = f b (foldl f a l)
| a b nil := hcomm a b
| a b (c::l) := by simp only [foldl_cons];
rw [← foldl_eq_of_comm_of_assoc, right_comm _ hcomm hassoc]; refl
theorem foldl_eq_foldr : ∀ a l, foldl f a l = foldr f a l
| a nil := rfl
| a (b :: l) :=
by simp only [foldr_cons, foldl_eq_of_comm_of_assoc hcomm hassoc]; rw (foldl_eq_foldr a l)
end foldl_eq_foldr
section
variables {op : α → α → α} [ha : is_associative α op] [hc : is_commutative α op]
local notation a * b := op a b
local notation l <*> a := foldl op a l
include ha
lemma foldl_assoc : ∀ {l : list α} {a₁ a₂}, l <*> (a₁ * a₂) = a₁ * (l <*> a₂)
| [] a₁ a₂ := rfl
| (a :: l) a₁ a₂ :=
calc a::l <*> (a₁ * a₂) = l <*> (a₁ * (a₂ * a)) : by simp only [foldl_cons, ha.assoc]
... = a₁ * (a::l <*> a₂) : by rw [foldl_assoc, foldl_cons]
lemma foldl_op_eq_op_foldr_assoc : ∀{l : list α} {a₁ a₂}, (l <*> a₁) * a₂ = a₁ * l.foldr (*) a₂
| [] a₁ a₂ := rfl
| (a :: l) a₁ a₂ := by simp only [foldl_cons, foldr_cons, foldl_assoc, ha.assoc]; rw [foldl_op_eq_op_foldr_assoc]
include hc
lemma foldl_assoc_comm_cons {l : list α} {a₁ a₂} : (a₁ :: l) <*> a₂ = a₁ * (l <*> a₂) :=
by rw [foldl_cons, hc.comm, foldl_assoc]
end
/- mfoldl, mfoldr -/
section mfoldl_mfoldr
variables {m : Type v → Type w} [monad m]
@[simp] theorem mfoldl_nil (f : β → α → m β) {b} : mfoldl f b [] = pure b := rfl
@[simp] theorem mfoldr_nil (f : α → β → m β) {b} : mfoldr f b [] = pure b := rfl
@[simp] theorem mfoldl_cons {f : β → α → m β} {b a l} :
mfoldl f b (a :: l) = f b a >>= λ b', mfoldl f b' l := rfl
@[simp] theorem mfoldr_cons {f : α → β → m β} {b a l} :
mfoldr f b (a :: l) = mfoldr f b l >>= f a := rfl
variables [is_lawful_monad m]
@[simp] theorem mfoldl_append {f : β → α → m β} : ∀ {b l₁ l₂},
mfoldl f b (l₁ ++ l₂) = mfoldl f b l₁ >>= λ x, mfoldl f x l₂
| _ [] _ := by simp only [nil_append, mfoldl_nil, pure_bind]
| _ (_::_) _ := by simp only [cons_append, mfoldl_cons, mfoldl_append, bind_assoc]
@[simp] theorem mfoldr_append {f : α → β → m β} : ∀ {b l₁ l₂},
mfoldr f b (l₁ ++ l₂) = mfoldr f b l₂ >>= λ x, mfoldr f x l₁
| _ [] _ := by simp only [nil_append, mfoldr_nil, bind_pure]
| _ (_::_) _ := by simp only [mfoldr_cons, cons_append, mfoldr_append, bind_assoc]
end mfoldl_mfoldr
/- sum -/
/-- Product of a list. `prod [a, b, c] = ((1 * a) * b) * c` -/
@[to_additive list.sum]
def prod [has_mul α] [has_one α] : list α → α := foldl (*) 1
attribute [to_additive list.sum.equations._eqn_1] list.prod.equations._eqn_1
section monoid
variables [monoid α] {l l₁ l₂ : list α} {a : α}
@[simp, to_additive list.sum_nil]
theorem prod_nil : ([] : list α).prod = 1 := rfl
@[simp, to_additive list.sum_cons]
theorem prod_cons : (a::l).prod = a * l.prod :=
calc (a::l).prod = foldl (*) (a * 1) l : by simp only [list.prod, foldl_cons, one_mul, mul_one]
... = _ : foldl_assoc
@[simp, to_additive list.sum_append]
theorem prod_append : (l₁ ++ l₂).prod = l₁.prod * l₂.prod :=
calc (l₁ ++ l₂).prod = foldl (*) (foldl (*) 1 l₁ * 1) l₂ : by simp [list.prod]
... = l₁.prod * l₂.prod : foldl_assoc
@[simp, to_additive list.sum_join]
theorem prod_join {l : list (list α)} : l.join.prod = (l.map list.prod).prod :=
by induction l; [refl, simp only [*, list.join, map, prod_append, prod_cons]]
end monoid
@[simp, to_additive list.sum_erase]
theorem prod_erase [decidable_eq α] [comm_monoid α] {a} :
Π {l : list α}, a ∈ l → a * (l.erase a).prod = l.prod
| (b::l) h :=
begin
rcases eq_or_ne_mem_of_mem h with rfl | ⟨ne, h⟩,
{ simp only [list.erase, if_pos, prod_cons] },
{ simp only [list.erase, if_neg (mt eq.symm ne), prod_cons, prod_erase h, mul_left_comm a b] }
end
lemma dvd_prod [comm_semiring α] {a} {l : list α} (ha : a ∈ l) : a ∣ l.prod :=
let ⟨s, t, h⟩ := mem_split ha in
by rw [h, prod_append, prod_cons, mul_left_comm]; exact dvd_mul_right _ _
@[simp] theorem sum_const_nat (m n : ℕ) : sum (list.repeat m n) = m * n :=
by induction n; [refl, simp only [*, repeat_succ, sum_cons, nat.mul_succ, add_comm]]
@[simp] theorem length_join (L : list (list α)) : length (join L) = sum (map length L) :=
by induction L; [refl, simp only [*, join, map, sum_cons, length_append]]
@[simp] theorem length_bind (l : list α) (f : α → list β) : length (list.bind l f) = sum (map (length ∘ f) l) :=
by rw [list.bind, length_join, map_map]
/- lexicographic ordering -/
inductive lex (r : α → α → Prop) : list α → list α → Prop
| nil {} {a l} : lex [] (a :: l)
| cons {a l₁ l₂} (h : lex l₁ l₂) : lex (a :: l₁) (a :: l₂)
| rel {a₁ l₁ a₂ l₂} (h : r a₁ a₂) : lex (a₁ :: l₁) (a₂ :: l₂)
namespace lex
theorem cons_iff {r : α → α → Prop} [is_irrefl α r] {a l₁ l₂} :
lex r (a :: l₁) (a :: l₂) ↔ lex r l₁ l₂ :=
⟨λ h, by cases h with _ _ _ _ _ h _ _ _ _ h;
[exact h, exact (irrefl_of r a h).elim], lex.cons⟩
instance is_order_connected (r : α → α → Prop)
[is_order_connected α r] [is_trichotomous α r] :
is_order_connected (list α) (lex r) :=
⟨λ l₁, match l₁ with
| _, [], c::l₃, nil := or.inr nil
| _, [], c::l₃, rel _ := or.inr nil
| _, [], c::l₃, cons _ := or.inr nil
| _, b::l₂, c::l₃, nil := or.inl nil
| a::l₁, b::l₂, c::l₃, rel h :=
(is_order_connected.conn _ b _ h).imp rel rel
| a::l₁, b::l₂, _::l₃, cons h := begin
rcases trichotomous_of r a b with ab | rfl | ab,
{ exact or.inl (rel ab) },
{ exact (_match _ l₂ _ h).imp cons cons },
{ exact or.inr (rel ab) }
end
end⟩
instance is_trichotomous (r : α → α → Prop) [is_trichotomous α r] :
is_trichotomous (list α) (lex r) :=
⟨λ l₁, match l₁ with
| [], [] := or.inr (or.inl rfl)
| [], b::l₂ := or.inl nil
| a::l₁, [] := or.inr (or.inr nil)
| a::l₁, b::l₂ := begin
rcases trichotomous_of r a b with ab | rfl | ab,
{ exact or.inl (rel ab) },
{ exact (_match l₁ l₂).imp cons
(or.imp (congr_arg _) cons) },
{ exact or.inr (or.inr (rel ab)) }
end
end⟩
instance is_asymm (r : α → α → Prop)
[is_asymm α r] : is_asymm (list α) (lex r) :=
⟨λ l₁, match l₁ with
| a::l₁, b::l₂, lex.rel h₁, lex.rel h₂ := asymm h₁ h₂
| a::l₁, b::l₂, lex.rel h₁, lex.cons h₂ := asymm h₁ h₁
| a::l₁, b::l₂, lex.cons h₁, lex.rel h₂ := asymm h₂ h₂
| a::l₁, b::l₂, lex.cons h₁, lex.cons h₂ :=
by exact _match _ _ h₁ h₂
end⟩
instance is_strict_total_order (r : α → α → Prop)
[is_strict_total_order' α r] : is_strict_total_order' (list α) (lex r) :=
{..is_strict_weak_order_of_is_order_connected}
instance decidable_rel [decidable_eq α] (r : α → α → Prop)
[decidable_rel r] : decidable_rel (lex r)
| l₁ [] := is_false $ λ h, by cases h
| [] (b::l₂) := is_true lex.nil
| (a::l₁) (b::l₂) := begin
haveI := decidable_rel l₁ l₂,
refine decidable_of_iff (r a b ∨ a = b ∧ lex r l₁ l₂) ⟨λ h, _, λ h, _⟩,
{ rcases h with h | ⟨rfl, h⟩,
{ exact lex.rel h },
{ exact lex.cons h } },
{ rcases h with _|⟨_,_,_,h⟩|⟨_,_,_,_,h⟩,
{ exact or.inr ⟨rfl, h⟩ },
{ exact or.inl h } }
end
theorem append_right (r : α → α → Prop) :
∀ {s₁ s₂} t, lex r s₁ s₂ → lex r s₁ (s₂ ++ t)
| _ _ t nil := nil
| _ _ t (cons h) := cons (append_right _ h)
| _ _ t (rel r) := rel r
theorem append_left (R : α → α → Prop) {t₁ t₂} (h : lex R t₁ t₂) :
∀ s, lex R (s ++ t₁) (s ++ t₂)
| [] := h
| (a::l) := cons (append_left l)
theorem imp {r s : α → α → Prop} (H : ∀ a b, r a b → s a b) :
∀ l₁ l₂, lex r l₁ l₂ → lex s l₁ l₂
| _ _ nil := nil
| _ _ (cons h) := cons (imp _ _ h)
| _ _ (rel r) := rel (H _ _ r)
theorem to_ne : ∀ {l₁ l₂ : list α}, lex (≠) l₁ l₂ → l₁ ≠ l₂
| _ _ (cons h) e := to_ne h (list.cons.inj e).2
| _ _ (rel r) e := r (list.cons.inj e).1
theorem ne_iff {l₁ l₂ : list α} (H : length l₁ ≤ length l₂) :
lex (≠) l₁ l₂ ↔ l₁ ≠ l₂ :=
⟨to_ne, λ h, begin
induction l₁ with a l₁ IH generalizing l₂; cases l₂ with b l₂,
{ contradiction },
{ apply nil },
{ exact (not_lt_of_ge H).elim (succ_pos _) },
{ cases classical.em (a = b) with ab ab,
{ subst b, apply cons,
exact IH (le_of_succ_le_succ H) (mt (congr_arg _) h) },
{ exact rel ab } }
end⟩
end lex
--Note: this overrides an instance in core lean
instance has_lt' [has_lt α] : has_lt (list α) := ⟨lex (<)⟩
theorem nil_lt_cons [has_lt α] (a : α) (l : list α) : [] < a :: l :=
lex.nil
instance [linear_order α] : linear_order (list α) :=
linear_order_of_STO' (lex (<))
--Note: this overrides an instance in core lean
instance has_le' [linear_order α] : has_le (list α) :=
preorder.to_has_le _
instance [decidable_linear_order α] : decidable_linear_order (list α) :=
decidable_linear_order_of_STO' (lex (<))
/- all & any -/
@[simp] theorem all_nil (p : α → bool) : all [] p = tt := rfl
@[simp] theorem all_cons (p : α → bool) (a : α) (l : list α) : all (a::l) p = (p a && all l p) := rfl
theorem all_iff_forall {p : α → bool} {l : list α} : all l p ↔ ∀ a ∈ l, p a :=
begin
induction l with a l ih,
{ exact iff_of_true rfl (forall_mem_nil _) },
simp only [all_cons, band_coe_iff, ih, forall_mem_cons]
end
theorem all_iff_forall_prop {p : α → Prop} [decidable_pred p]
{l : list α} : all l (λ a, p a) ↔ ∀ a ∈ l, p a :=
by simp only [all_iff_forall, bool.of_to_bool_iff]
@[simp] theorem any_nil (p : α → bool) : any [] p = ff := rfl
@[simp] theorem any_cons (p : α → bool) (a : α) (l : list α) : any (a::l) p = (p a || any l p) := rfl
theorem any_iff_exists {p : α → bool} {l : list α} : any l p ↔ ∃ a ∈ l, p a :=
begin
induction l with a l ih,
{ exact iff_of_false bool.not_ff (not_exists_mem_nil _) },
simp only [any_cons, bor_coe_iff, ih, exists_mem_cons_iff]
end
theorem any_iff_exists_prop {p : α → Prop} [decidable_pred p]
{l : list α} : any l (λ a, p a) ↔ ∃ a ∈ l, p a :=
by simp [any_iff_exists]
theorem any_of_mem {p : α → bool} {a : α} {l : list α} (h₁ : a ∈ l) (h₂ : p a) : any l p :=
any_iff_exists.2 ⟨_, h₁, h₂⟩
instance decidable_forall_mem {p : α → Prop} [decidable_pred p] (l : list α) :
decidable (∀ x ∈ l, p x) :=
decidable_of_iff _ all_iff_forall_prop
instance decidable_exists_mem {p : α → Prop} [decidable_pred p] (l : list α) :
decidable (∃ x ∈ l, p x) :=
decidable_of_iff _ any_iff_exists_prop
/- map for partial functions -/
/-- Partial map. If `f : Π a, p a → β` is a partial function defined on
`a : α` satisfying `p`, then `pmap f l h` is essentially the same as `map f l`
but is defined only when all members of `l` satisfy `p`, using the proof
to apply `f`. -/
@[simp] def pmap {p : α → Prop} (f : Π a, p a → β) : Π l : list α, (∀ a ∈ l, p a) → list β
| [] H := []
| (a::l) H := f a (forall_mem_cons.1 H).1 :: pmap l (forall_mem_cons.1 H).2
/-- "Attach" the proof that the elements of `l` are in `l` to produce a new list
with the same elements but in the type `{x // x ∈ l}`. -/
def attach (l : list α) : list {x // x ∈ l} := pmap subtype.mk l (λ a, id)
theorem pmap_eq_map (p : α → Prop) (f : α → β) (l : list α) (H) :
@pmap _ _ p (λ a _, f a) l H = map f l :=
by induction l; [refl, simp only [*, pmap, map]]; split; refl
theorem pmap_congr {p q : α → Prop} {f : Π a, p a → β} {g : Π a, q a → β}
(l : list α) {H₁ H₂} (h : ∀ a h₁ h₂, f a h₁ = g a h₂) :
pmap f l H₁ = pmap g l H₂ :=
by induction l with _ _ ih; [refl, rw [pmap, pmap, h, ih]]
theorem map_pmap {p : α → Prop} (g : β → γ) (f : Π a, p a → β)
(l H) : map g (pmap f l H) = pmap (λ a h, g (f a h)) l H :=
by induction l; [refl, simp only [*, pmap, map]]; split; refl
theorem pmap_eq_map_attach {p : α → Prop} (f : Π a, p a → β)
(l H) : pmap f l H = l.attach.map (λ x, f x.1 (H _ x.2)) :=
by rw [attach, map_pmap]; exact pmap_congr l (λ a h₁ h₂, rfl)
theorem attach_map_val (l : list α) : l.attach.map subtype.val = l :=
by rw [attach, map_pmap]; exact (pmap_eq_map _ _ _ _).trans (map_id l)
@[simp] theorem mem_attach (l : list α) : ∀ x, x ∈ l.attach | ⟨a, h⟩ :=
by have := mem_map.1 (by rw [attach_map_val]; exact h);
{ rcases this with ⟨⟨_, _⟩, m, rfl⟩, exact m }
@[simp] theorem mem_pmap {p : α → Prop} {f : Π a, p a → β}
{l H b} : b ∈ pmap f l H ↔ ∃ a (h : a ∈ l), f a (H a h) = b :=
by simp only [pmap_eq_map_attach, mem_map, mem_attach, true_and, subtype.exists]
@[simp] theorem length_pmap {p : α → Prop} {f : Π a, p a → β}
{l H} : length (pmap f l H) = length l :=
by induction l; [refl, simp only [*, pmap, length]]
@[simp] lemma length_attach {α} (L : list α) : L.attach.length = L.length := length_pmap
/- find -/
section find
variables {p : α → Prop} [decidable_pred p] {l : list α} {a : α}
/-- `find p l` is the first element of `l` satisfying `p`, or `none` if no such
element exists. -/
def find (p : α → Prop) [decidable_pred p] : list α → option α
| [] := none
| (a::l) := if p a then some a else find l
def find_indexes_aux (p : α → Prop) [decidable_pred p] : list α → nat → list nat
| [] n := []
| (a::l) n := let t := find_indexes_aux l (succ n) in if p a then n :: t else t
/-- `find_indexes p l` is the list of indexes of elements of `l` that satisfy `p`. -/
def find_indexes (p : α → Prop) [decidable_pred p] (l : list α) : list nat :=
find_indexes_aux p l 0
@[simp] theorem find_nil (p : α → Prop) [decidable_pred p] : find p [] = none :=
rfl
@[simp] theorem find_cons_of_pos (l) (h : p a) : find p (a::l) = some a :=
if_pos h
@[simp] theorem find_cons_of_neg (l) (h : ¬ p a) : find p (a::l) = find p l :=
if_neg h
@[simp] theorem find_eq_none : find p l = none ↔ ∀ x ∈ l, ¬ p x :=
begin
induction l with a l IH,
{ exact iff_of_true rfl (forall_mem_nil _) },
rw forall_mem_cons, by_cases h : p a,
{ simp only [find_cons_of_pos _ h, h, not_true, false_and] },
{ rwa [find_cons_of_neg _ h, iff_true_intro h, true_and] }
end
@[simp] theorem find_some (H : find p l = some a) : p a :=
begin
induction l with b l IH, {contradiction},
by_cases h : p b,
{ rw find_cons_of_pos _ h at H, cases H, exact h },
{ rw find_cons_of_neg _ h at H, exact IH H }
end
@[simp] theorem find_mem (H : find p l = some a) : a ∈ l :=
begin
induction l with b l IH, {contradiction},
by_cases h : p b,
{ rw find_cons_of_pos _ h at H, cases H, apply mem_cons_self },
{ rw find_cons_of_neg _ h at H, exact mem_cons_of_mem _ (IH H) }
end
end find
/-- `indexes_of a l` is the list of all indexes of `a` in `l`.
`indexes_of a [a, b, a, a] = [0, 2, 3]` -/
def indexes_of [decidable_eq α] (a : α) : list α → list nat := find_indexes (eq a)
/- filter_map -/
@[simp] theorem filter_map_nil (f : α → option β) : filter_map f [] = [] := rfl
@[simp] theorem filter_map_cons_none {f : α → option β} (a : α) (l : list α) (h : f a = none) :
filter_map f (a :: l) = filter_map f l :=
by simp only [filter_map, h]
@[simp] theorem filter_map_cons_some (f : α → option β)
(a : α) (l : list α) {b : β} (h : f a = some b) :
filter_map f (a :: l) = b :: filter_map f l :=
by simp only [filter_map, h]; split; refl
theorem filter_map_eq_map (f : α → β) : filter_map (some ∘ f) = map f :=
begin
funext l,
induction l with a l IH, {refl},
simp only [filter_map_cons_some (some ∘ f) _ _ rfl, IH, map_cons], split; refl
end
theorem filter_map_eq_filter (p : α → Prop) [decidable_pred p] :
filter_map (option.guard p) = filter p :=
begin
funext l,
induction l with a l IH, {refl},
by_cases pa : p a,
{ simp only [filter_map, option.guard, IH, if_pos pa, filter_cons_of_pos _ pa], split; refl },
{ simp only [filter_map, option.guard, IH, if_neg pa, filter_cons_of_neg _ pa] }
end
theorem filter_map_filter_map (f : α → option β) (g : β → option γ) (l : list α) :
filter_map g (filter_map f l) = filter_map (λ x, (f x).bind g) l :=
begin
induction l with a l IH, {refl},
cases h : f a with b,
{ rw [filter_map_cons_none _ _ h, filter_map_cons_none, IH],
simp only [h, option.none_bind'] },
rw filter_map_cons_some _ _ _ h,
cases h' : g b with c;
[ rw [filter_map_cons_none _ _ h', filter_map_cons_none, IH],
rw [filter_map_cons_some _ _ _ h', filter_map_cons_some, IH] ];
simp only [h, h', option.some_bind']
end
theorem map_filter_map (f : α → option β) (g : β → γ) (l : list α) :
map g (filter_map f l) = filter_map (λ x, (f x).map g) l :=
by rw [← filter_map_eq_map, filter_map_filter_map]; refl
theorem filter_map_map (f : α → β) (g : β → option γ) (l : list α) :
filter_map g (map f l) = filter_map (g ∘ f) l :=
by rw [← filter_map_eq_map, filter_map_filter_map]; refl
theorem filter_filter_map (f : α → option β) (p : β → Prop) [decidable_pred p] (l : list α) :
filter p (filter_map f l) = filter_map (λ x, (f x).filter p) l :=
by rw [← filter_map_eq_filter, filter_map_filter_map]; refl
theorem filter_map_filter (p : α → Prop) [decidable_pred p] (f : α → option β) (l : list α) :
filter_map f (filter p l) = filter_map (λ x, if p x then f x else none) l :=
begin
rw [← filter_map_eq_filter, filter_map_filter_map], congr,
funext x,
show (option.guard p x).bind f = ite (p x) (f x) none,
by_cases h : p x,
{ simp only [option.guard, if_pos h, option.some_bind'] },
{ simp only [option.guard, if_neg h, option.none_bind'] }
end
@[simp] theorem filter_map_some (l : list α) : filter_map some l = l :=
by rw filter_map_eq_map; apply map_id
@[simp] theorem mem_filter_map (f : α → option β) (l : list α) {b : β} :
b ∈ filter_map f l ↔ ∃ a, a ∈ l ∧ f a = some b :=
begin
induction l with a l IH,
{ split, { intro H, cases H }, { rintro ⟨_, H, _⟩, cases H } },
cases h : f a with b',
{ have : f a ≠ some b, {rw h, intro, contradiction},
simp only [filter_map_cons_none _ _ h, IH, mem_cons_iff,
or_and_distrib_right, exists_or_distrib, exists_eq_left, this, false_or] },
{ have : f a = some b ↔ b = b',
{ split; intro t, {rw t at h; injection h}, {exact t.symm ▸ h} },
simp only [filter_map_cons_some _ _ _ h, IH, mem_cons_iff,
or_and_distrib_right, exists_or_distrib, this, exists_eq_left] }
end
theorem map_filter_map_of_inv (f : α → option β) (g : β → α)
(H : ∀ x : α, (f x).map g = some x) (l : list α) :
map g (filter_map f l) = l :=
by simp only [map_filter_map, H, filter_map_some]
theorem filter_map_sublist_filter_map (f : α → option β) {l₁ l₂ : list α}
(s : l₁ <+ l₂) : filter_map f l₁ <+ filter_map f l₂ :=
by induction s with l₁ l₂ a s IH l₁ l₂ a s IH;
simp only [filter_map]; cases f a with b;
simp only [filter_map, IH, sublist.cons, sublist.cons2]
theorem map_sublist_map (f : α → β) {l₁ l₂ : list α}
(s : l₁ <+ l₂) : map f l₁ <+ map f l₂ :=
by rw ← filter_map_eq_map; exact filter_map_sublist_filter_map _ s
/- filter -/
section filter
variables {p : α → Prop} [decidable_pred p]
lemma filter_congr {p q : α → Prop} [decidable_pred p] [decidable_pred q]
: ∀ {l : list α}, (∀ x ∈ l, p x ↔ q x) → filter p l = filter q l
| [] _ := rfl
| (a::l) h := by rw forall_mem_cons at h; by_cases pa : p a;
[simp only [filter_cons_of_pos _ pa, filter_cons_of_pos _ (h.1.1 pa), filter_congr h.2],
simp only [filter_cons_of_neg _ pa, filter_cons_of_neg _ (mt h.1.2 pa), filter_congr h.2]]; split; refl
@[simp] theorem filter_subset (l : list α) : filter p l ⊆ l :=
subset_of_sublist $ filter_sublist l
theorem of_mem_filter {a : α} : ∀ {l}, a ∈ filter p l → p a
| (b::l) ain :=
if pb : p b then
have a ∈ b :: filter p l, by simpa only [filter_cons_of_pos _ pb] using ain,
or.elim (eq_or_mem_of_mem_cons this)
(assume : a = b, begin rw [← this] at pb, exact pb end)
(assume : a ∈ filter p l, of_mem_filter this)
else
begin simp only [filter_cons_of_neg _ pb] at ain, exact (of_mem_filter ain) end
theorem mem_of_mem_filter {a : α} {l} (h : a ∈ filter p l) : a ∈ l :=
filter_subset l h
theorem mem_filter_of_mem {a : α} : ∀ {l}, a ∈ l → p a → a ∈ filter p l
| (_::l) (or.inl rfl) pa := by rw filter_cons_of_pos _ pa; apply mem_cons_self
| (b::l) (or.inr ain) pa := if pb : p b
then by rw [filter_cons_of_pos _ pb]; apply mem_cons_of_mem; apply mem_filter_of_mem ain pa
else by rw [filter_cons_of_neg _ pb]; apply mem_filter_of_mem ain pa
@[simp] theorem mem_filter {a : α} {l} : a ∈ filter p l ↔ a ∈ l ∧ p a :=
⟨λ h, ⟨mem_of_mem_filter h, of_mem_filter h⟩, λ ⟨h₁, h₂⟩, mem_filter_of_mem h₁ h₂⟩
theorem filter_eq_self {l} : filter p l = l ↔ ∀ a ∈ l, p a :=
begin
induction l with a l ih,
{ exact iff_of_true rfl (forall_mem_nil _) },
rw forall_mem_cons, by_cases p a,
{ rw [filter_cons_of_pos _ h, cons_inj', ih, and_iff_right h] },
{ rw [filter_cons_of_neg _ h],
refine iff_of_false _ (mt and.left h), intro e,
have := filter_sublist l, rw e at this,
exact not_lt_of_ge (length_le_of_sublist this) (lt_succ_self _) }
end
theorem filter_eq_nil {l} : filter p l = [] ↔ ∀ a ∈ l, ¬p a :=
by simp only [eq_nil_iff_forall_not_mem, mem_filter, not_and]
theorem filter_sublist_filter {l₁ l₂} (s : l₁ <+ l₂) : filter p l₁ <+ filter p l₂ :=
by rw ← filter_map_eq_filter; exact filter_map_sublist_filter_map _ s
theorem filter_of_map (f : β → α) (l) : filter p (map f l) = map f (filter (p ∘ f) l) :=
by rw [← filter_map_eq_map, filter_filter_map, filter_map_filter]; refl
@[simp] theorem filter_filter {q} [decidable_pred q] : ∀ l,
filter p (filter q l) = filter (λ a, p a ∧ q a) l
| [] := rfl
| (a :: l) := by by_cases hp : p a; by_cases hq : q a; simp only [hp, hq, filter, if_true, if_false,
true_and, false_and, filter_filter l, eq_self_iff_true]
@[simp] theorem span_eq_take_drop (p : α → Prop) [decidable_pred p] : ∀ (l : list α), span p l = (take_while p l, drop_while p l)
| [] := rfl
| (a::l) := if pa : p a then by simp only [span, if_pos pa, span_eq_take_drop l, take_while, drop_while]
else by simp only [span, take_while, drop_while, if_neg pa]
@[simp] theorem take_while_append_drop (p : α → Prop) [decidable_pred p] : ∀ (l : list α), take_while p l ++ drop_while p l = l
| [] := rfl
| (a::l) := if pa : p a then by rw [take_while, drop_while, if_pos pa, if_pos pa, cons_append, take_while_append_drop l]
else by rw [take_while, drop_while, if_neg pa, if_neg pa, nil_append]
/-- `countp p l` is the number of elements of `l` that satisfy `p`. -/
def countp (p : α → Prop) [decidable_pred p] : list α → nat
| [] := 0
| (x::xs) := if p x then succ (countp xs) else countp xs
@[simp] theorem countp_nil (p : α → Prop) [decidable_pred p] : countp p [] = 0 := rfl
@[simp] theorem countp_cons_of_pos {a : α} (l) (pa : p a) : countp p (a::l) = countp p l + 1 :=
if_pos pa
@[simp] theorem countp_cons_of_neg {a : α} (l) (pa : ¬ p a) : countp p (a::l) = countp p l :=
if_neg pa
theorem countp_eq_length_filter (l) : countp p l = length (filter p l) :=
by induction l with x l ih; [refl, by_cases (p x)]; [simp only [filter_cons_of_pos _ h, countp, ih, if_pos h],
simp only [countp_cons_of_neg _ h, ih, filter_cons_of_neg _ h]]; refl
local attribute [simp] countp_eq_length_filter
@[simp] theorem countp_append (l₁ l₂) : countp p (l₁ ++ l₂) = countp p l₁ + countp p l₂ :=
by simp only [countp_eq_length_filter, filter_append, length_append]
theorem countp_pos {l} : 0 < countp p l ↔ ∃ a ∈ l, p a :=
by simp only [countp_eq_length_filter, length_pos_iff_exists_mem, mem_filter, exists_prop]
theorem countp_le_of_sublist {l₁ l₂} (s : l₁ <+ l₂) : countp p l₁ ≤ countp p l₂ :=
by simpa only [countp_eq_length_filter] using length_le_of_sublist (filter_sublist_filter s)
@[simp] theorem countp_filter {q} [decidable_pred q] (l : list α) :
countp p (filter q l) = countp (λ a, p a ∧ q a) l :=
by simp only [countp_eq_length_filter, filter_filter]
end filter
/- count -/
section count
variable [decidable_eq α]
/-- `count a l` is the number of occurrences of `a` in `l`. -/
def count (a : α) : list α → nat := countp (eq a)
@[simp] theorem count_nil (a : α) : count a [] = 0 := rfl
theorem count_cons (a b : α) (l : list α) :
count a (b :: l) = if a = b then succ (count a l) else count a l := rfl
theorem count_cons' (a b : α) (l : list α) :
count a (b :: l) = count a l + (if a = b then 1 else 0) :=
begin rw count_cons, split_ifs; refl end
@[simp] theorem count_cons_self (a : α) (l : list α) : count a (a::l) = succ (count a l) :=
if_pos rfl
@[simp] theorem count_cons_of_ne {a b : α} (h : a ≠ b) (l : list α) : count a (b::l) = count a l :=
if_neg h
theorem count_le_of_sublist (a : α) {l₁ l₂} : l₁ <+ l₂ → count a l₁ ≤ count a l₂ :=
countp_le_of_sublist
theorem count_le_count_cons (a b : α) (l : list α) : count a l ≤ count a (b :: l) :=
count_le_of_sublist _ (sublist_cons _ _)
theorem count_singleton (a : α) : count a [a] = 1 := if_pos rfl
@[simp] theorem count_append (a : α) : ∀ l₁ l₂, count a (l₁ ++ l₂) = count a l₁ + count a l₂ :=
countp_append
@[simp] theorem count_concat (a : α) (l : list α) : count a (concat l a) = succ (count a l) :=
by rw [concat_eq_append, count_append, count_singleton]
theorem count_pos {a : α} {l : list α} : 0 < count a l ↔ a ∈ l :=
by simp only [count, countp_pos, exists_prop, exists_eq_right']
@[simp] theorem count_eq_zero_of_not_mem {a : α} {l : list α} (h : a ∉ l) : count a l = 0 :=
by_contradiction $ λ h', h $ count_pos.1 (nat.pos_of_ne_zero h')
theorem not_mem_of_count_eq_zero {a : α} {l : list α} (h : count a l = 0) : a ∉ l :=
λ h', ne_of_gt (count_pos.2 h') h
@[simp] theorem count_repeat (a : α) (n : ℕ) : count a (repeat a n) = n :=
by rw [count, countp_eq_length_filter, filter_eq_self.2, length_repeat];
exact λ b m, (eq_of_mem_repeat m).symm
theorem le_count_iff_repeat_sublist {a : α} {l : list α} {n : ℕ} : n ≤ count a l ↔ repeat a n <+ l :=
⟨λ h, ((repeat_sublist_repeat a).2 h).trans $
have filter (eq a) l = repeat a (count a l), from eq_repeat.2
⟨by simp only [count, countp_eq_length_filter], λ b m, (of_mem_filter m).symm⟩,
by rw ← this; apply filter_sublist,
λ h, by simpa only [count_repeat] using count_le_of_sublist a h⟩
@[simp] theorem count_filter {p} [decidable_pred p]
{a} {l : list α} (h : p a) : count a (filter p l) = count a l :=
by simp only [count, countp_filter]; congr; exact
set.ext (λ b, and_iff_left_of_imp (λ e, e ▸ h))
end count
/- prefix, suffix, infix -/
/-- `is_prefix l₁ l₂`, or `l₁ <+: l₂`, means that `l₁` is a prefix of `l₂`,
that is, `l₂` has the form `l₁ ++ t` for some `t`. -/
def is_prefix (l₁ : list α) (l₂ : list α) : Prop := ∃ t, l₁ ++ t = l₂
/-- `is_suffix l₁ l₂`, or `l₁ <:+ l₂`, means that `l₁` is a suffix of `l₂`,
that is, `l₂` has the form `t ++ l₁` for some `t`. -/
def is_suffix (l₁ : list α) (l₂ : list α) : Prop := ∃ t, t ++ l₁ = l₂
/-- `is_infix l₁ l₂`, or `l₁ <:+: l₂`, means that `l₁` is a contiguous
substring of `l₂`, that is, `l₂` has the form `s ++ l₁ ++ t` for some `s, t`. -/
def is_infix (l₁ : list α) (l₂ : list α) : Prop := ∃ s t, s ++ l₁ ++ t = l₂
infix ` <+: `:50 := is_prefix
infix ` <:+ `:50 := is_suffix
infix ` <:+: `:50 := is_infix
@[simp] theorem prefix_append (l₁ l₂ : list α) : l₁ <+: l₁ ++ l₂ := ⟨l₂, rfl⟩
@[simp] theorem suffix_append (l₁ l₂ : list α) : l₂ <:+ l₁ ++ l₂ := ⟨l₁, rfl⟩
@[simp] theorem infix_append (l₁ l₂ l₃ : list α) : l₂ <:+: l₁ ++ l₂ ++ l₃ := ⟨l₁, l₃, rfl⟩
theorem nil_prefix (l : list α) : [] <+: l := ⟨l, rfl⟩
theorem nil_suffix (l : list α) : [] <:+ l := ⟨l, append_nil _⟩
@[refl] theorem prefix_refl (l : list α) : l <+: l := ⟨[], append_nil _⟩
@[refl] theorem suffix_refl (l : list α) : l <:+ l := ⟨[], rfl⟩
@[simp] theorem suffix_cons (a : α) : ∀ l, l <:+ a :: l := suffix_append [a]
@[simp] theorem prefix_concat (a : α) (l) : l <+: concat l a :=
by simp only [concat_eq_append, prefix_append]
theorem infix_of_prefix {l₁ l₂ : list α} : l₁ <+: l₂ → l₁ <:+: l₂ :=
λ⟨t, h⟩, ⟨[], t, h⟩
theorem infix_of_suffix {l₁ l₂ : list α} : l₁ <:+ l₂ → l₁ <:+: l₂ :=
λ⟨t, h⟩, ⟨t, [], by simp only [h, append_nil]⟩
@[refl] theorem infix_refl (l : list α) : l <:+: l := infix_of_prefix $ prefix_refl l
theorem nil_infix (l : list α) : [] <:+: l := infix_of_prefix $ nil_prefix l
theorem infix_cons {L₁ L₂ : list α} {x : α} : L₁ <:+: L₂ → L₁ <:+: x :: L₂ :=
λ⟨LP, LS, H⟩, ⟨x :: LP, LS, H ▸ rfl⟩
@[trans] theorem is_prefix.trans : ∀ {l₁ l₂ l₃ : list α}, l₁ <+: l₂ → l₂ <+: l₃ → l₁ <+: l₃
| l ._ ._ ⟨r₁, rfl⟩ ⟨r₂, rfl⟩ := ⟨r₁ ++ r₂, (append_assoc _ _ _).symm⟩
@[trans] theorem is_suffix.trans : ∀ {l₁ l₂ l₃ : list α}, l₁ <:+ l₂ → l₂ <:+ l₃ → l₁ <:+ l₃
| l ._ ._ ⟨l₁, rfl⟩ ⟨l₂, rfl⟩ := ⟨l₂ ++ l₁, append_assoc _ _ _⟩
@[trans] theorem is_infix.trans : ∀ {l₁ l₂ l₃ : list α}, l₁ <:+: l₂ → l₂ <:+: l₃ → l₁ <:+: l₃
| l ._ ._ ⟨l₁, r₁, rfl⟩ ⟨l₂, r₂, rfl⟩ := ⟨l₂ ++ l₁, r₁ ++ r₂, by simp only [append_assoc]⟩
theorem sublist_of_infix {l₁ l₂ : list α} : l₁ <:+: l₂ → l₁ <+ l₂ :=
λ⟨s, t, h⟩, by rw [← h]; exact (sublist_append_right _ _).trans (sublist_append_left _ _)
theorem sublist_of_prefix {l₁ l₂ : list α} : l₁ <+: l₂ → l₁ <+ l₂ :=
sublist_of_infix ∘ infix_of_prefix
theorem sublist_of_suffix {l₁ l₂ : list α} : l₁ <:+ l₂ → l₁ <+ l₂ :=
sublist_of_infix ∘ infix_of_suffix
theorem reverse_suffix {l₁ l₂ : list α} : reverse l₁ <:+ reverse l₂ ↔ l₁ <+: l₂ :=
⟨λ ⟨r, e⟩, ⟨reverse r,
by rw [← reverse_reverse l₁, ← reverse_append, e, reverse_reverse]⟩,
λ ⟨r, e⟩, ⟨reverse r, by rw [← reverse_append, e]⟩⟩
theorem reverse_prefix {l₁ l₂ : list α} : reverse l₁ <+: reverse l₂ ↔ l₁ <:+ l₂ :=
by rw ← reverse_suffix; simp only [reverse_reverse]
theorem length_le_of_infix {l₁ l₂ : list α} (s : l₁ <:+: l₂) : length l₁ ≤ length l₂ :=
length_le_of_sublist $ sublist_of_infix s
theorem eq_nil_of_infix_nil {l : list α} (s : l <:+: []) : l = [] :=
eq_nil_of_sublist_nil $ sublist_of_infix s
theorem eq_nil_of_prefix_nil {l : list α} (s : l <+: []) : l = [] :=
eq_nil_of_infix_nil $ infix_of_prefix s
theorem eq_nil_of_suffix_nil {l : list α} (s : l <:+ []) : l = [] :=
eq_nil_of_infix_nil $ infix_of_suffix s
theorem infix_iff_prefix_suffix (l₁ l₂ : list α) : l₁ <:+: l₂ ↔ ∃ t, l₁ <+: t ∧ t <:+ l₂ :=
⟨λ⟨s, t, e⟩, ⟨l₁ ++ t, ⟨_, rfl⟩, by rw [← e, append_assoc]; exact ⟨_, rfl⟩⟩,
λ⟨._, ⟨t, rfl⟩, ⟨s, e⟩⟩, ⟨s, t, by rw append_assoc; exact e⟩⟩
theorem eq_of_infix_of_length_eq {l₁ l₂ : list α} (s : l₁ <:+: l₂) : length l₁ = length l₂ → l₁ = l₂ :=
eq_of_sublist_of_length_eq $ sublist_of_infix s
theorem eq_of_prefix_of_length_eq {l₁ l₂ : list α} (s : l₁ <+: l₂) : length l₁ = length l₂ → l₁ = l₂ :=
eq_of_sublist_of_length_eq $ sublist_of_prefix s
theorem eq_of_suffix_of_length_eq {l₁ l₂ : list α} (s : l₁ <:+ l₂) : length l₁ = length l₂ → l₁ = l₂ :=
eq_of_sublist_of_length_eq $ sublist_of_suffix s
theorem prefix_of_prefix_length_le : ∀ {l₁ l₂ l₃ : list α},
l₁ <+: l₃ → l₂ <+: l₃ → length l₁ ≤ length l₂ → l₁ <+: l₂
| [] l₂ l₃ h₁ h₂ _ := nil_prefix _
| (a::l₁) (b::l₂) _ ⟨r₁, rfl⟩ ⟨r₂, e⟩ ll := begin
injection e with _ e', subst b,
rcases prefix_of_prefix_length_le ⟨_, rfl⟩ ⟨_, e'⟩
(le_of_succ_le_succ ll) with ⟨r₃, rfl⟩,
exact ⟨r₃, rfl⟩
end
theorem prefix_or_prefix_of_prefix {l₁ l₂ l₃ : list α}
(h₁ : l₁ <+: l₃) (h₂ : l₂ <+: l₃) : l₁ <+: l₂ ∨ l₂ <+: l₁ :=
(le_total (length l₁) (length l₂)).imp
(prefix_of_prefix_length_le h₁ h₂)
(prefix_of_prefix_length_le h₂ h₁)
theorem suffix_of_suffix_length_le {l₁ l₂ l₃ : list α}
(h₁ : l₁ <:+ l₃) (h₂ : l₂ <:+ l₃) (ll : length l₁ ≤ length l₂) : l₁ <:+ l₂ :=
reverse_prefix.1 $ prefix_of_prefix_length_le
(reverse_prefix.2 h₁) (reverse_prefix.2 h₂) (by simp [ll])
theorem suffix_or_suffix_of_suffix {l₁ l₂ l₃ : list α}
(h₁ : l₁ <:+ l₃) (h₂ : l₂ <:+ l₃) : l₁ <:+ l₂ ∨ l₂ <:+ l₁ :=
(prefix_or_prefix_of_prefix (reverse_prefix.2 h₁) (reverse_prefix.2 h₂)).imp
reverse_prefix.1 reverse_prefix.1
theorem infix_of_mem_join : ∀ {L : list (list α)} {l}, l ∈ L → l <:+: join L
| (_ :: L) l (or.inl rfl) := infix_append [] _ _
| (l' :: L) l (or.inr h) :=
is_infix.trans (infix_of_mem_join h) $ infix_of_suffix $ suffix_append _ _
theorem prefix_append_left_inj {l₁ l₂ : list α} (l) : l ++ l₁ <+: l ++ l₂ ↔ l₁ <+: l₂ :=
exists_congr $ λ r, by rw [append_assoc, append_left_inj]
theorem prefix_cons_inj {l₁ l₂ : list α} (a) : a :: l₁ <+: a :: l₂ ↔ l₁ <+: l₂ :=
prefix_append_left_inj [a]
theorem take_prefix (n) (l : list α) : take n l <+: l := ⟨_, take_append_drop _ _⟩
theorem drop_suffix (n) (l : list α) : drop n l <:+ l := ⟨_, take_append_drop _ _⟩
theorem prefix_iff_eq_append {l₁ l₂ : list α} : l₁ <+: l₂ ↔ l₁ ++ drop (length l₁) l₂ = l₂ :=
⟨by rintros ⟨r, rfl⟩; rw drop_left, λ e, ⟨_, e⟩⟩
theorem suffix_iff_eq_append {l₁ l₂ : list α} : l₁ <:+ l₂ ↔ take (length l₂ - length l₁) l₂ ++ l₁ = l₂ :=
⟨by rintros ⟨r, rfl⟩; simp only [length_append, nat.add_sub_cancel, take_left], λ e, ⟨_, e⟩⟩
theorem prefix_iff_eq_take {l₁ l₂ : list α} : l₁ <+: l₂ ↔ l₁ = take (length l₁) l₂ :=
⟨λ h, append_right_cancel $
(prefix_iff_eq_append.1 h).trans (take_append_drop _ _).symm,
λ e, e.symm ▸ take_prefix _ _⟩
theorem suffix_iff_eq_drop {l₁ l₂ : list α} : l₁ <:+ l₂ ↔ l₁ = drop (length l₂ - length l₁) l₂ :=
⟨λ h, append_left_cancel $
(suffix_iff_eq_append.1 h).trans (take_append_drop _ _).symm,
λ e, e.symm ▸ drop_suffix _ _⟩
instance decidable_prefix [decidable_eq α] : ∀ (l₁ l₂ : list α), decidable (l₁ <+: l₂)
| [] l₂ := is_true ⟨l₂, rfl⟩
| (a::l₁) [] := is_false $ λ ⟨t, te⟩, list.no_confusion te
| (a::l₁) (b::l₂) :=
if h : a = b then
@decidable_of_iff _ _ (by rw [← h, prefix_cons_inj])
(decidable_prefix l₁ l₂)
else
is_false $ λ ⟨t, te⟩, h $ by injection te
-- Alternatively, use mem_tails
instance decidable_suffix [decidable_eq α] : ∀ (l₁ l₂ : list α), decidable (l₁ <:+ l₂)
| [] l₂ := is_true ⟨l₂, append_nil _⟩
| (a::l₁) [] := is_false $ mt (length_le_of_sublist ∘ sublist_of_suffix) dec_trivial
| l₁ l₂ := let len1 := length l₁, len2 := length l₂ in
if hl : len1 ≤ len2 then
decidable_of_iff' (l₁ = drop (len2-len1) l₂) suffix_iff_eq_drop
else is_false $ λ h, hl $ length_le_of_sublist $ sublist_of_suffix h
/-- `inits l` is the list of initial segments of `l`.
`inits [1, 2, 3] = [[], [1], [1, 2], [1, 2, 3]]` -/
@[simp] def inits : list α → list (list α)
| [] := [[]]
| (a::l) := [] :: map (λt, a::t) (inits l)
@[simp] theorem mem_inits : ∀ (s t : list α), s ∈ inits t ↔ s <+: t
| s [] := suffices s = nil ↔ s <+: nil, by simpa only [inits, mem_singleton],
⟨λh, h.symm ▸ prefix_refl [], eq_nil_of_prefix_nil⟩
| s (a::t) :=
suffices (s = nil ∨ ∃ l ∈ inits t, a :: l = s) ↔ s <+: a :: t, by simpa,
⟨λo, match s, o with
| ._, or.inl rfl := ⟨_, rfl⟩
| s, or.inr ⟨r, hr, hs⟩ := let ⟨s, ht⟩ := (mem_inits _ _).1 hr in
by rw [← hs, ← ht]; exact ⟨s, rfl⟩
end, λmi, match s, mi with
| [], ⟨._, rfl⟩ := or.inl rfl
| (b::s), ⟨r, hr⟩ := list.no_confusion hr $ λba (st : s++r = t), or.inr $
by rw ba; exact ⟨_, (mem_inits _ _).2 ⟨_, st⟩, rfl⟩
end⟩
/-- `tails l` is the list of terminal segments of `l`.
`tails [1, 2, 3] = [[1, 2, 3], [2, 3], [3], []]` -/
@[simp] def tails : list α → list (list α)
| [] := [[]]
| (a::l) := (a::l) :: tails l
@[simp] theorem mem_tails : ∀ (s t : list α), s ∈ tails t ↔ s <:+ t
| s [] := by simp only [tails, mem_singleton]; exact ⟨λh, by rw h; exact suffix_refl [], eq_nil_of_suffix_nil⟩
| s (a::t) := by simp only [tails, mem_cons_iff, mem_tails s t]; exact show s = a :: t ∨ s <:+ t ↔ s <:+ a :: t, from
⟨λo, match s, t, o with
| ._, t, or.inl rfl := suffix_refl _
| s, ._, or.inr ⟨l, rfl⟩ := ⟨a::l, rfl⟩
end, λe, match s, t, e with
| ._, t, ⟨[], rfl⟩ := or.inl rfl
| s, t, ⟨b::l, he⟩ := list.no_confusion he (λab lt, or.inr ⟨l, lt⟩)
end⟩
instance decidable_infix [decidable_eq α] : ∀ (l₁ l₂ : list α), decidable (l₁ <:+: l₂)
| [] l₂ := is_true ⟨[], l₂, rfl⟩
| (a::l₁) [] := is_false $ λ⟨s, t, te⟩, absurd te $ append_ne_nil_of_ne_nil_left _ _ $
append_ne_nil_of_ne_nil_right _ _ $ λh, list.no_confusion h
| l₁ l₂ := decidable_of_decidable_of_iff (list.decidable_bex (λt, l₁ <+: t) (tails l₂)) $
by refine (exists_congr (λt, _)).trans (infix_iff_prefix_suffix _ _).symm;
exact ⟨λ⟨h1, h2⟩, ⟨h2, (mem_tails _ _).1 h1⟩, λ⟨h2, h1⟩, ⟨(mem_tails _ _).2 h1, h2⟩⟩
/- sublists -/
def sublists'_aux : list α → (list α → list β) → list (list β) → list (list β)
| [] f r := f [] :: r
| (a::l) f r := sublists'_aux l f (sublists'_aux l (f ∘ cons a) r)
/-- `sublists' l` is the list of all (non-contiguous) sublists of `l`.
It differs from `sublists` only in the order of appearance of the sublists;
`sublists'` uses the first element of the list as the MSB,
`sublists` uses the first element of the list as the LSB.
`sublists' [1, 2, 3] = [[], [3], [2], [2, 3], [1], [1, 3], [1, 2], [1, 2, 3]]` -/
def sublists' (l : list α) : list (list α) :=
sublists'_aux l id []
@[simp] theorem sublists'_nil : sublists' (@nil α) = [[]] := rfl
@[simp] theorem sublists'_singleton (a : α) : sublists' [a] = [[], [a]] := rfl
theorem map_sublists'_aux (g : list β → list γ) (l : list α) (f r) :
map g (sublists'_aux l f r) = sublists'_aux l (g ∘ f) (map g r) :=
by induction l generalizing f r; [refl, simp only [*, sublists'_aux]]
theorem sublists'_aux_append (r' : list (list β)) (l : list α) (f r) :
sublists'_aux l f (r ++ r') = sublists'_aux l f r ++ r' :=
by induction l generalizing f r; [refl, simp only [*, sublists'_aux]]
theorem sublists'_aux_eq_sublists' (l f r) :
@sublists'_aux α β l f r = map f (sublists' l) ++ r :=
by rw [sublists', map_sublists'_aux, ← sublists'_aux_append]; refl
@[simp] theorem sublists'_cons (a : α) (l : list α) :
sublists' (a :: l) = sublists' l ++ map (cons a) (sublists' l) :=
by rw [sublists', sublists'_aux]; simp only [sublists'_aux_eq_sublists', map_id, append_nil]; refl
@[simp] theorem mem_sublists' {s t : list α} : s ∈ sublists' t ↔ s <+ t :=
begin
induction t with a t IH generalizing s,
{ simp only [sublists'_nil, mem_singleton],
exact ⟨λ h, by rw h, eq_nil_of_sublist_nil⟩ },
simp only [sublists'_cons, mem_append, IH, mem_map],
split; intro h, rcases h with h | ⟨s, h, rfl⟩,
{ exact sublist_cons_of_sublist _ h },
{ exact cons_sublist_cons _ h },
{ cases h with _ _ _ h s _ _ h,
{ exact or.inl h },
{ exact or.inr ⟨s, h, rfl⟩ } }
end
@[simp] theorem length_sublists' : ∀ l : list α, length (sublists' l) = 2 ^ length l
| [] := rfl
| (a::l) := by simp only [sublists'_cons, length_append, length_sublists' l, length_map,
length, pow_succ, mul_succ, mul_zero, zero_add]
def sublists_aux : list α → (list α → list β → list β) → list β
| [] f := []
| (a::l) f := f [a] (sublists_aux l (λys r, f ys (f (a :: ys) r)))
/-- `sublists l` is the list of all (non-contiguous) sublists of `l`.
`sublists [1, 2, 3] = [[], [1], [2], [1, 2], [3], [1, 3], [2, 3], [1, 2, 3]]` -/
def sublists (l : list α) : list (list α) :=
[] :: sublists_aux l cons
@[simp] theorem sublists_nil : sublists (@nil α) = [[]] := rfl
@[simp] theorem sublists_singleton (a : α) : sublists [a] = [[], [a]] := rfl
def sublists_aux₁ : list α → (list α → list β) → list β
| [] f := []
| (a::l) f := f [a] ++ sublists_aux₁ l (λys, f ys ++ f (a :: ys))
theorem sublists_aux₁_eq_sublists_aux : ∀ l (f : list α → list β),
sublists_aux₁ l f = sublists_aux l (λ ys r, f ys ++ r)
| [] f := rfl
| (a::l) f := by rw [sublists_aux₁, sublists_aux]; simp only [*, append_assoc]
theorem sublists_aux_cons_eq_sublists_aux₁ (l : list α) :
sublists_aux l cons = sublists_aux₁ l (λ x, [x]) :=
by rw [sublists_aux₁_eq_sublists_aux]; refl
theorem sublists_aux_eq_foldr.aux {a : α} {l : list α}
(IH₁ : ∀ (f : list α → list β → list β), sublists_aux l f = foldr f [] (sublists_aux l cons))
(IH₂ : ∀ (f : list α → list (list α) → list (list α)),
sublists_aux l f = foldr f [] (sublists_aux l cons))
(f : list α → list β → list β) : sublists_aux (a::l) f = foldr f [] (sublists_aux (a::l) cons) :=
begin
simp only [sublists_aux, foldr_cons], rw [IH₂, IH₁], congr' 1,
induction sublists_aux l cons with _ _ ih, {refl},
simp only [ih, foldr_cons]
end
theorem sublists_aux_eq_foldr (l : list α) : ∀ (f : list α → list β → list β),
sublists_aux l f = foldr f [] (sublists_aux l cons) :=
suffices _ ∧ ∀ f : list α → list (list α) → list (list α),
sublists_aux l f = foldr f [] (sublists_aux l cons),
from this.1,
begin
induction l with a l IH, {split; intro; refl},
exact ⟨sublists_aux_eq_foldr.aux IH.1 IH.2,
sublists_aux_eq_foldr.aux IH.2 IH.2⟩
end
theorem sublists_aux_cons_cons (l : list α) (a : α) :
sublists_aux (a::l) cons = [a] :: foldr (λys r, ys :: (a :: ys) :: r) [] (sublists_aux l cons) :=
by rw [← sublists_aux_eq_foldr]; refl
theorem sublists_aux₁_append : ∀ (l₁ l₂ : list α) (f : list α → list β),
sublists_aux₁ (l₁ ++ l₂) f = sublists_aux₁ l₁ f ++
sublists_aux₁ l₂ (λ x, f x ++ sublists_aux₁ l₁ (f ∘ (++ x)))
| [] l₂ f := by simp only [sublists_aux₁, nil_append, append_nil]
| (a::l₁) l₂ f := by simp only [sublists_aux₁, cons_append, sublists_aux₁_append l₁, append_assoc]; refl
theorem sublists_aux₁_concat (l : list α) (a : α) (f : list α → list β) :
sublists_aux₁ (l ++ [a]) f = sublists_aux₁ l f ++
f [a] ++ sublists_aux₁ l (λ x, f (x ++ [a])) :=
by simp only [sublists_aux₁_append, sublists_aux₁, append_assoc, append_nil]
theorem sublists_aux₁_bind : ∀ (l : list α)
(f : list α → list β) (g : β → list γ),
(sublists_aux₁ l f).bind g = sublists_aux₁ l (λ x, (f x).bind g)
| [] f g := rfl
| (a::l) f g := by simp only [sublists_aux₁, bind_append, sublists_aux₁_bind l]
theorem sublists_aux_cons_append (l₁ l₂ : list α) :
sublists_aux (l₁ ++ l₂) cons = sublists_aux l₁ cons ++
(do x ← sublists_aux l₂ cons, (++ x) <$> sublists l₁) :=
begin
simp only [sublists, sublists_aux_cons_eq_sublists_aux₁, sublists_aux₁_append, bind_eq_bind, sublists_aux₁_bind],
congr, funext x, apply congr_arg _,
rw [← bind_ret_eq_map, sublists_aux₁_bind], exact (append_nil _).symm
end
theorem sublists_append (l₁ l₂ : list α) :
sublists (l₁ ++ l₂) = (do x ← sublists l₂, (++ x) <$> sublists l₁) :=
by simp only [map, sublists, sublists_aux_cons_append, map_eq_map, bind_eq_bind,
cons_bind, map_id', append_nil, cons_append, map_id' (λ _, rfl)]; split; refl
@[simp] theorem sublists_concat (l : list α) (a : α) :
sublists (l ++ [a]) = sublists l ++ map (λ x, x ++ [a]) (sublists l) :=
by rw [sublists_append, sublists_singleton, bind_eq_bind, cons_bind, cons_bind, nil_bind,
map_eq_map, map_eq_map, map_id' (append_nil), append_nil]
theorem sublists_reverse (l : list α) : sublists (reverse l) = map reverse (sublists' l) :=
by induction l with hd tl ih; [refl,
simp only [reverse_cons, sublists_append, sublists'_cons, map_append, ih, sublists_singleton,
map_eq_map, bind_eq_bind, map_map, cons_bind, append_nil, nil_bind, (∘)]]
theorem sublists_eq_sublists' (l : list α) : sublists l = map reverse (sublists' (reverse l)) :=
by rw [← sublists_reverse, reverse_reverse]
theorem sublists'_reverse (l : list α) : sublists' (reverse l) = map reverse (sublists l) :=
by simp only [sublists_eq_sublists', map_map, map_id' (reverse_reverse)]
theorem sublists'_eq_sublists (l : list α) : sublists' l = map reverse (sublists (reverse l)) :=
by rw [← sublists'_reverse, reverse_reverse]
theorem sublists_aux_ne_nil : ∀ (l : list α), [] ∉ sublists_aux l cons
| [] := id
| (a::l) := begin
rw [sublists_aux_cons_cons],
refine not_mem_cons_of_ne_of_not_mem (cons_ne_nil _ _).symm _,
have := sublists_aux_ne_nil l, revert this,
induction sublists_aux l cons; intro, {rwa foldr},
simp only [foldr, mem_cons_iff, false_or, not_or_distrib],
exact ⟨ne_of_not_mem_cons this, ih (not_mem_of_not_mem_cons this)⟩
end
@[simp] theorem mem_sublists {s t : list α} : s ∈ sublists t ↔ s <+ t :=
by rw [← reverse_sublist_iff, ← mem_sublists',
sublists'_reverse, mem_map_of_inj reverse_injective]
@[simp] theorem length_sublists (l : list α) : length (sublists l) = 2 ^ length l :=
by simp only [sublists_eq_sublists', length_map, length_sublists', length_reverse]
theorem map_ret_sublist_sublists (l : list α) : map list.ret l <+ sublists l :=
reverse_rec_on l (nil_sublist _) $
λ l a IH, by simp only [map, map_append, sublists_concat]; exact
((append_sublist_append_left _).2 $ singleton_sublist.2 $
mem_map.2 ⟨[], mem_sublists.2 (nil_sublist _), by refl⟩).trans
((append_sublist_append_right _).2 IH)
/- transpose -/
def transpose_aux : list α → list (list α) → list (list α)
| [] ls := ls
| (a::i) [] := [a] :: transpose_aux i []
| (a::i) (l::ls) := (a::l) :: transpose_aux i ls
/-- transpose of a list of lists, treated as a matrix.
`transpose [[1, 2], [3, 4], [5, 6]] = [[1, 3, 5], [2, 4, 6]]` -/
def transpose : list (list α) → list (list α)
| [] := []
| (l::ls) := transpose_aux l (transpose ls)
/- forall₂ -/
section forall₂
variables {r : α → β → Prop} {p : γ → δ → Prop}
open relator relation
inductive forall₂ (R : α → β → Prop) : list α → list β → Prop
| nil {} : forall₂ [] []
| cons {a b l₁ l₂} : R a b → forall₂ l₁ l₂ → forall₂ (a::l₁) (b::l₂)
run_cmd tactic.mk_iff_of_inductive_prop `list.forall₂ `list.forall₂_iff
attribute [simp] forall₂.nil
@[simp] theorem forall₂_cons {R : α → β → Prop} {a b l₁ l₂} :
forall₂ R (a::l₁) (b::l₂) ↔ R a b ∧ forall₂ R l₁ l₂ :=
⟨λ h, by cases h with h₁ h₂; split; assumption, λ ⟨h₁, h₂⟩, forall₂.cons h₁ h₂⟩
theorem forall₂.imp {R S : α → β → Prop}
(H : ∀ a b, R a b → S a b) {l₁ l₂}
(h : forall₂ R l₁ l₂) : forall₂ S l₁ l₂ :=
by induction h; constructor; solve_by_elim
lemma forall₂.mp {r q s : α → β → Prop} (h : ∀a b, r a b → q a b → s a b) :
∀{l₁ l₂}, forall₂ r l₁ l₂ → forall₂ q l₁ l₂ → forall₂ s l₁ l₂
| [] [] forall₂.nil forall₂.nil := forall₂.nil
| (a::l₁) (b::l₂) (forall₂.cons hr hrs) (forall₂.cons hq hqs) :=
forall₂.cons (h a b hr hq) (forall₂.mp hrs hqs)
lemma forall₂.flip : ∀{a b}, forall₂ (flip r) b a → forall₂ r a b
| _ _ forall₂.nil := forall₂.nil
| (a :: as) (b :: bs) (forall₂.cons h₁ h₂) := forall₂.cons h₁ h₂.flip
lemma forall₂_same {r : α → α → Prop} : ∀{l}, (∀x∈l, r x x) → forall₂ r l l
| [] _ := forall₂.nil
| (a::as) h := forall₂.cons
(h _ (mem_cons_self _ _))
(forall₂_same $ assume a ha, h a $ mem_cons_of_mem _ ha)
lemma forall₂_refl {r} [is_refl α r] (l : list α) : forall₂ r l l :=
forall₂_same $ assume a h, is_refl.refl _ _
lemma forall₂_eq_eq_eq : forall₂ ((=) : α → α → Prop) = (=) :=
begin
funext a b, apply propext,
split,
{ assume h, induction h, {refl}, simp only [*]; split; refl },
{ assume h, subst h, exact forall₂_refl _ }
end
@[simp] lemma forall₂_nil_left_iff {l} : forall₂ r nil l ↔ l = nil :=
⟨λ H, by cases H; refl, by rintro rfl; exact forall₂.nil⟩
@[simp] lemma forall₂_nil_right_iff {l} : forall₂ r l nil ↔ l = nil :=
⟨λ H, by cases H; refl, by rintro rfl; exact forall₂.nil⟩
lemma forall₂_cons_left_iff {a l u} : forall₂ r (a::l) u ↔ (∃b u', r a b ∧ forall₂ r l u' ∧ u = b :: u') :=
iff.intro
(assume h, match u, h with (b :: u'), forall₂.cons h₁ h₂ := ⟨b, u', h₁, h₂, rfl⟩ end)
(assume h, match u, h with _, ⟨b, u', h₁, h₂, rfl⟩ := forall₂.cons h₁ h₂ end)
lemma forall₂_cons_right_iff {b l u} :
forall₂ r u (b::l) ↔ (∃a u', r a b ∧ forall₂ r u' l ∧ u = a :: u') :=
iff.intro
(assume h, match u, h with (b :: u'), forall₂.cons h₁ h₂ := ⟨b, u', h₁, h₂, rfl⟩ end)
(assume h, match u, h with _, ⟨b, u', h₁, h₂, rfl⟩ := forall₂.cons h₁ h₂ end)
lemma forall₂_and_left {r : α → β → Prop} {p : α → Prop} :
∀l u, forall₂ (λa b, p a ∧ r a b) l u ↔ (∀a∈l, p a) ∧ forall₂ r l u
| [] u := by simp only [forall₂_nil_left_iff, forall_prop_of_false (not_mem_nil _), imp_true_iff, true_and]
| (a::l) u := by simp only [forall₂_and_left l, forall₂_cons_left_iff, forall_mem_cons,
and_assoc, and_comm, and.left_comm, exists_and_distrib_left.symm]
@[simp] lemma forall₂_map_left_iff {f : γ → α} :
∀{l u}, forall₂ r (map f l) u ↔ forall₂ (λc b, r (f c) b) l u
| [] _ := by simp only [map, forall₂_nil_left_iff]
| (a::l) _ := by simp only [map, forall₂_cons_left_iff, forall₂_map_left_iff]
@[simp] lemma forall₂_map_right_iff {f : γ → β} :
∀{l u}, forall₂ r l (map f u) ↔ forall₂ (λa c, r a (f c)) l u
| _ [] := by simp only [map, forall₂_nil_right_iff]
| _ (b::u) := by simp only [map, forall₂_cons_right_iff, forall₂_map_right_iff]
lemma left_unique_forall₂ (hr : left_unique r) : left_unique (forall₂ r)
| a₀ nil a₁ forall₂.nil forall₂.nil := rfl
| (a₀::l₀) (b::l) (a₁::l₁) (forall₂.cons ha₀ h₀) (forall₂.cons ha₁ h₁) :=
hr ha₀ ha₁ ▸ left_unique_forall₂ h₀ h₁ ▸ rfl
lemma right_unique_forall₂ (hr : right_unique r) : right_unique (forall₂ r)
| nil a₀ a₁ forall₂.nil forall₂.nil := rfl
| (b::l) (a₀::l₀) (a₁::l₁) (forall₂.cons ha₀ h₀) (forall₂.cons ha₁ h₁) :=
hr ha₀ ha₁ ▸ right_unique_forall₂ h₀ h₁ ▸ rfl
lemma bi_unique_forall₂ (hr : bi_unique r) : bi_unique (forall₂ r) :=
⟨assume a b c, left_unique_forall₂ hr.1, assume a b c, right_unique_forall₂ hr.2⟩
theorem forall₂_length_eq {R : α → β → Prop} :
∀ {l₁ l₂}, forall₂ R l₁ l₂ → length l₁ = length l₂
| _ _ forall₂.nil := rfl
| _ _ (forall₂.cons h₁ h₂) := congr_arg succ (forall₂_length_eq h₂)
theorem forall₂_zip {R : α → β → Prop} :
∀ {l₁ l₂}, forall₂ R l₁ l₂ → ∀ {a b}, (a, b) ∈ zip l₁ l₂ → R a b
| _ _ (forall₂.cons h₁ h₂) x y (or.inl rfl) := h₁
| _ _ (forall₂.cons h₁ h₂) x y (or.inr h₃) := forall₂_zip h₂ h₃
theorem forall₂_iff_zip {R : α → β → Prop} {l₁ l₂} : forall₂ R l₁ l₂ ↔
length l₁ = length l₂ ∧ ∀ {a b}, (a, b) ∈ zip l₁ l₂ → R a b :=
⟨λ h, ⟨forall₂_length_eq h, @forall₂_zip _ _ _ _ _ h⟩,
λ h, begin
cases h with h₁ h₂,
induction l₁ with a l₁ IH generalizing l₂,
{ cases length_eq_zero.1 h₁.symm, constructor },
{ cases l₂ with b l₂; injection h₁ with h₁,
exact forall₂.cons (h₂ $ or.inl rfl) (IH h₁ $ λ a b h, h₂ $ or.inr h) }
end⟩
theorem forall₂_take {R : α → β → Prop} :
∀ n {l₁ l₂}, forall₂ R l₁ l₂ → forall₂ R (take n l₁) (take n l₂)
| 0 _ _ _ := by simp only [forall₂.nil, take]
| (n+1) _ _ (forall₂.nil) := by simp only [forall₂.nil, take]
| (n+1) _ _ (forall₂.cons h₁ h₂) := by simp [and.intro h₁ h₂, forall₂_take n]
theorem forall₂_drop {R : α → β → Prop} :
∀ n {l₁ l₂}, forall₂ R l₁ l₂ → forall₂ R (drop n l₁) (drop n l₂)
| 0 _ _ h := by simp only [drop, h]
| (n+1) _ _ (forall₂.nil) := by simp only [forall₂.nil, drop]
| (n+1) _ _ (forall₂.cons h₁ h₂) := by simp [and.intro h₁ h₂, forall₂_drop n]
theorem forall₂_take_append {R : α → β → Prop} (l : list α) (l₁ : list β) (l₂ : list β)
(h : forall₂ R l (l₁ ++ l₂)) : forall₂ R (list.take (length l₁) l) l₁ :=
have h': forall₂ R (take (length l₁) l) (take (length l₁) (l₁ ++ l₂)), from forall₂_take (length l₁) h,
by rwa [take_left] at h'
theorem forall₂_drop_append {R : α → β → Prop} (l : list α) (l₁ : list β) (l₂ : list β)
(h : forall₂ R l (l₁ ++ l₂)) : forall₂ R (list.drop (length l₁) l) l₂ :=
have h': forall₂ R (drop (length l₁) l) (drop (length l₁) (l₁ ++ l₂)), from forall₂_drop (length l₁) h,
by rwa [drop_left] at h'
lemma rel_mem (hr : bi_unique r) : (r ⇒ forall₂ r ⇒ iff) (∈) (∈)
| a b h [] [] forall₂.nil := by simp only [not_mem_nil]
| a b h (a'::as) (b'::bs) (forall₂.cons h₁ h₂) := rel_or (rel_eq hr h h₁) (rel_mem h h₂)
lemma rel_map : ((r ⇒ p) ⇒ forall₂ r ⇒ forall₂ p) map map
| f g h [] [] forall₂.nil := forall₂.nil
| f g h (a::as) (b::bs) (forall₂.cons h₁ h₂) := forall₂.cons (h h₁) (rel_map @h h₂)
lemma rel_append : (forall₂ r ⇒ forall₂ r ⇒ forall₂ r) append append
| [] [] h l₁ l₂ hl := hl
| (a::as) (b::bs) (forall₂.cons h₁ h₂) l₁ l₂ hl := forall₂.cons h₁ (rel_append h₂ hl)
lemma rel_join : (forall₂ (forall₂ r) ⇒ forall₂ r) join join
| [] [] forall₂.nil := forall₂.nil
| (a::as) (b::bs) (forall₂.cons h₁ h₂) := rel_append h₁ (rel_join h₂)
lemma rel_bind : (forall₂ r ⇒ (r ⇒ forall₂ p) ⇒ forall₂ p) list.bind list.bind :=
assume a b h₁ f g h₂, rel_join (rel_map @h₂ h₁)
lemma rel_foldl : ((p ⇒ r ⇒ p) ⇒ p ⇒ forall₂ r ⇒ p) foldl foldl
| f g hfg _ _ h _ _ forall₂.nil := h
| f g hfg x y hxy _ _ (forall₂.cons hab hs) := rel_foldl @hfg (hfg hxy hab) hs
lemma rel_foldr : ((r ⇒ p ⇒ p) ⇒ p ⇒ forall₂ r ⇒ p) foldr foldr
| f g hfg _ _ h _ _ forall₂.nil := h
| f g hfg x y hxy _ _ (forall₂.cons hab hs) := hfg hab (rel_foldr @hfg hxy hs)
lemma rel_filter {p : α → Prop} {q : β → Prop} [decidable_pred p] [decidable_pred q]
(hpq : (r ⇒ (↔)) p q) :
(forall₂ r ⇒ forall₂ r) (filter p) (filter q)
| _ _ forall₂.nil := forall₂.nil
| (a::as) (b::bs) (forall₂.cons h₁ h₂) :=
begin
by_cases p a,
{ have : q b, { rwa [← hpq h₁] },
simp only [filter_cons_of_pos _ h, filter_cons_of_pos _ this, forall₂_cons, h₁, rel_filter h₂, and_true], },
{ have : ¬ q b, { rwa [← hpq h₁] },
simp only [filter_cons_of_neg _ h, filter_cons_of_neg _ this, rel_filter h₂], },
end
theorem filter_map_cons (f : α → option β) (a : α) (l : list α) :
filter_map f (a :: l) = option.cases_on (f a) (filter_map f l) (λb, b :: filter_map f l) :=
begin
generalize eq : f a = b,
cases b,
{ rw filter_map_cons_none _ _ eq },
{ rw filter_map_cons_some _ _ _ eq },
end
lemma rel_filter_map {f : α → option γ} {q : β → option δ} :
((r ⇒ option.rel p) ⇒ forall₂ r ⇒ forall₂ p) filter_map filter_map
| f g hfg _ _ forall₂.nil := forall₂.nil
| f g hfg (a::as) (b::bs) (forall₂.cons h₁ h₂) :=
by rw [filter_map_cons, filter_map_cons];
from match f a, g b, hfg h₁ with
| _, _, option.rel.none := rel_filter_map @hfg h₂
| _, _, option.rel.some h := forall₂.cons h (rel_filter_map @hfg h₂)
end
@[to_additive list.rel_sum]
lemma rel_prod [monoid α] [monoid β]
(h : r 1 1) (hf : (r ⇒ r ⇒ r) (*) (*)) : (forall₂ r ⇒ r) prod prod :=
assume a b, rel_foldl (assume a b, hf) h
end forall₂
/- sections -/
/-- List of all sections through a list of lists. A section
of `[L₁, L₂, ..., Lₙ]` is a list whose first element comes from
`L₁`, whose second element comes from `L₂`, and so on. -/
def sections : list (list α) → list (list α)
| [] := [[]]
| (l::L) := bind (sections L) $ λ s, map (λ a, a::s) l
theorem mem_sections {L : list (list α)} {f} : f ∈ sections L ↔ forall₂ (∈) f L :=
begin
refine ⟨λ h, _, λ h, _⟩,
{ induction L generalizing f, {cases mem_singleton.1 h, exact forall₂.nil},
simp only [sections, bind_eq_bind, mem_bind, mem_map] at h,
rcases h with ⟨_, _, _, _, rfl⟩,
simp only [*, forall₂_cons, true_and] },
{ induction h with a l f L al fL fs, {exact or.inl rfl},
simp only [sections, bind_eq_bind, mem_bind, mem_map],
exact ⟨_, fs, _, al, rfl, rfl⟩ }
end
theorem mem_sections_length {L : list (list α)} {f} (h : f ∈ sections L) : length f = length L :=
forall₂_length_eq (mem_sections.1 h)
lemma rel_sections {r : α → β → Prop} : (forall₂ (forall₂ r) ⇒ forall₂ (forall₂ r)) sections sections
| _ _ forall₂.nil := forall₂.cons forall₂.nil forall₂.nil
| _ _ (forall₂.cons h₀ h₁) :=
rel_bind (rel_sections h₁) (assume _ _ hl, rel_map (assume _ _ ha, forall₂.cons ha hl) h₀)
/- permutations -/
section permutations
def permutations_aux2 (t : α) (ts : list α) (r : list β) : list α → (list α → β) → list α × list β
| [] f := (ts, r)
| (y::ys) f := let (us, zs) := permutations_aux2 ys (λx : list α, f (y::x)) in
(y :: us, f (t :: y :: us) :: zs)
private def meas : (Σ'_:list α, list α) → ℕ × ℕ | ⟨l, i⟩ := (length l + length i, length l)
local infix ` ≺ `:50 := inv_image (prod.lex (<) (<)) meas
@[elab_as_eliminator] def permutations_aux.rec {C : list α → list α → Sort v}
(H0 : ∀ is, C [] is)
(H1 : ∀ t ts is, C ts (t::is) → C is [] → C (t::ts) is) : ∀ l₁ l₂, C l₁ l₂
| [] is := H0 is
| (t::ts) is :=
have h1 : ⟨ts, t :: is⟩ ≺ ⟨t :: ts, is⟩, from
show prod.lex _ _ (succ (length ts + length is), length ts) (succ (length ts) + length is, length (t :: ts)),
by rw nat.succ_add; exact prod.lex.right _ _ (lt_succ_self _),
have h2 : ⟨is, []⟩ ≺ ⟨t :: ts, is⟩, from prod.lex.left _ _ _ (lt_add_of_pos_left _ (succ_pos _)),
H1 t ts is (permutations_aux.rec ts (t::is)) (permutations_aux.rec is [])
using_well_founded {
dec_tac := tactic.assumption,
rel_tac := λ _ _, `[exact ⟨(≺), @inv_image.wf _ _ _ meas (prod.lex_wf lt_wf lt_wf)⟩] }
def permutations_aux : list α → list α → list (list α) :=
@@permutations_aux.rec (λ _ _, list (list α)) (λ is, [])
(λ t ts is IH1 IH2, foldr (λy r, (permutations_aux2 t ts r y id).2) IH1 (is :: IH2))
/-- List of all permutations of `l`.
permutations [1, 2, 3] =
[[1, 2, 3], [2, 1, 3], [3, 2, 1],
[2, 3, 1], [3, 1, 2], [1, 3, 2]] -/
def permutations (l : list α) : list (list α) :=
l :: permutations_aux l []
@[simp] theorem permutations_aux_nil (is : list α) : permutations_aux [] is = [] :=
by rw [permutations_aux, permutations_aux.rec]
@[simp] theorem permutations_aux_cons (t : α) (ts is : list α) :
permutations_aux (t :: ts) is = foldr (λy r, (permutations_aux2 t ts r y id).2)
(permutations_aux ts (t::is)) (permutations is) :=
by rw [permutations_aux, permutations_aux.rec]; refl
end permutations
/- insert -/
section insert
variable [decidable_eq α]
@[simp] theorem insert_nil (a : α) : insert a nil = [a] := rfl
theorem insert.def (a : α) (l : list α) : insert a l = if a ∈ l then l else a :: l := rfl
@[simp] theorem insert_of_mem {a : α} {l : list α} (h : a ∈ l) : insert a l = l :=
by simp only [insert.def, if_pos h]
@[simp] theorem insert_of_not_mem {a : α} {l : list α} (h : a ∉ l) : insert a l = a :: l :=
by simp only [insert.def, if_neg h]; split; refl
@[simp] theorem mem_insert_iff {a b : α} {l : list α} : a ∈ insert b l ↔ a = b ∨ a ∈ l :=
begin
by_cases h' : b ∈ l,
{ simp only [insert_of_mem h'],
apply (or_iff_right_of_imp _).symm,
exact λ e, e.symm ▸ h' },
simp only [insert_of_not_mem h', mem_cons_iff]
end
@[simp] theorem suffix_insert (a : α) (l : list α) : l <:+ insert a l :=
by by_cases a ∈ l; [simp only [insert_of_mem h], simp only [insert_of_not_mem h, suffix_cons]]
@[simp] theorem mem_insert_self (a : α) (l : list α) : a ∈ insert a l :=
mem_insert_iff.2 (or.inl rfl)
@[simp] theorem mem_insert_of_mem {a b : α} {l : list α} (h : a ∈ l) : a ∈ insert b l :=
mem_insert_iff.2 (or.inr h)
theorem eq_or_mem_of_mem_insert {a b : α} {l : list α} (h : a ∈ insert b l) : a = b ∨ a ∈ l :=
mem_insert_iff.1 h
@[simp] theorem length_insert_of_mem {a : α} [decidable_eq α] {l : list α} (h : a ∈ l) :
length (insert a l) = length l :=
by rw insert_of_mem h
@[simp] theorem length_insert_of_not_mem {a : α} [decidable_eq α] {l : list α} (h : a ∉ l) :
length (insert a l) = length l + 1 :=
by rw insert_of_not_mem h; refl
end insert
/- erase -/
section erase
variable [decidable_eq α]
@[simp] theorem erase_nil (a : α) : [].erase a = [] := rfl
theorem erase_cons (a b : α) (l : list α) : (b :: l).erase a = if b = a then l else b :: l.erase a := rfl
@[simp] theorem erase_cons_head (a : α) (l : list α) : (a :: l).erase a = l :=
by simp only [erase_cons, if_pos rfl]
@[simp] theorem erase_cons_tail {a b : α} (l : list α) (h : b ≠ a) : (b::l).erase a = b :: l.erase a :=
by simp only [erase_cons, if_neg h]; split; refl
@[simp] theorem erase_of_not_mem {a : α} {l : list α} (h : a ∉ l) : l.erase a = l :=
by induction l with _ _ ih; [refl,
simp only [list.erase, if_neg (ne_of_not_mem_cons h).symm, ih (not_mem_of_not_mem_cons h)]]; split; refl
theorem exists_erase_eq {a : α} {l : list α} (h : a ∈ l) :
∃ l₁ l₂, a ∉ l₁ ∧ l = l₁ ++ a :: l₂ ∧ l.erase a = l₁ ++ l₂ :=
by induction l with b l ih; [cases h, {
by_cases e : b = a,
{ subst b, exact ⟨[], l, not_mem_nil _, rfl, by simp only [erase_cons_head, nil_append]⟩ },
{ exact let ⟨l₁, l₂, h₁, h₂, h₃⟩ := ih (h.resolve_left (ne.symm e)) in
⟨b::l₁, l₂, not_mem_cons_of_ne_of_not_mem (ne.symm e) h₁,
by rw h₂; refl,
by simp only [erase_cons_tail _ e, h₃, cons_append]; split; refl⟩ } }]
@[simp] theorem length_erase_of_mem {a : α} {l : list α} (h : a ∈ l) : length (l.erase a) = pred (length l) :=
match l, l.erase a, exists_erase_eq h with
| ._, ._, ⟨l₁, l₂, _, rfl, rfl⟩ := by simp only [length_append]; refl
end
theorem erase_append_left {a : α} : ∀ {l₁ : list α} (l₂), a ∈ l₁ → (l₁++l₂).erase a = l₁.erase a ++ l₂
| (x::xs) l₂ h := begin
by_cases h' : x = a, { simp only [h', erase_cons_head, cons_append] },
simp only [cons_append, erase_cons_tail _ h', erase_append_left l₂ (mem_of_ne_of_mem (ne.symm h') h)], split; refl
end
theorem erase_append_right {a : α} : ∀ {l₁ : list α} (l₂), a ∉ l₁ → (l₁++l₂).erase a = l₁ ++ l₂.erase a
| [] l₂ h := rfl
| (x::xs) l₂ h := by simp only [*, cons_append, erase_cons_tail _(ne_of_not_mem_cons h).symm, erase_append_right _ (not_mem_of_not_mem_cons h)]; split; refl
theorem erase_sublist (a : α) (l : list α) : l.erase a <+ l :=
if h : a ∈ l then match l, l.erase a, exists_erase_eq h with
| ._, ._, ⟨l₁, l₂, _, rfl, rfl⟩ := by simp only [append_sublist_append_left, sublist_cons]
end else by rw erase_of_not_mem h
theorem erase_subset (a : α) (l : list α) : l.erase a ⊆ l :=
subset_of_sublist (erase_sublist a l)
theorem erase_sublist_erase (a : α) : ∀ {l₁ l₂ : list α}, l₁ <+ l₂ → l₁.erase a <+ l₂.erase a
| ._ ._ sublist.slnil := sublist.slnil
| ._ ._ (sublist.cons l₁ l₂ b s) := if h : b = a
then by rw [h, erase_cons_head]; exact (erase_sublist _ _).trans s
else by rw erase_cons_tail _ h; exact (erase_sublist_erase s).cons _ _ _
| ._ ._ (sublist.cons2 l₁ l₂ b s) := if h : b = a
then by rw [h, erase_cons_head, erase_cons_head]; exact s
else by rw [erase_cons_tail _ h, erase_cons_tail _ h]; exact (erase_sublist_erase s).cons2 _ _ _
theorem mem_of_mem_erase {a b : α} {l : list α} : a ∈ l.erase b → a ∈ l :=
@erase_subset _ _ _ _ _
@[simp] theorem mem_erase_of_ne {a b : α} {l : list α} (ab : a ≠ b) : a ∈ l.erase b ↔ a ∈ l :=
⟨mem_of_mem_erase, λ al,
if h : b ∈ l then match l, l.erase b, exists_erase_eq h, al with
| ._, ._, ⟨l₁, l₂, _, rfl, rfl⟩, al := by simpa only [mem_append, mem_cons_iff, ab, false_or] using al
end else by simp only [erase_of_not_mem h, al]⟩
theorem erase_comm (a b : α) (l : list α) : (l.erase a).erase b = (l.erase b).erase a :=
if ab : a = b then by rw ab else
if ha : a ∈ l then
if hb : b ∈ l then match l, l.erase a, exists_erase_eq ha, hb with
| ._, ._, ⟨l₁, l₂, ha', rfl, rfl⟩, hb :=
if h₁ : b ∈ l₁ then
by rw [erase_append_left _ h₁, erase_append_left _ h₁,
erase_append_right _ (mt mem_of_mem_erase ha'), erase_cons_head]
else
by rw [erase_append_right _ h₁, erase_append_right _ h₁, erase_append_right _ ha',
erase_cons_tail _ ab, erase_cons_head]
end
else by simp only [erase_of_not_mem hb, erase_of_not_mem (mt mem_of_mem_erase hb)]
else by simp only [erase_of_not_mem ha, erase_of_not_mem (mt mem_of_mem_erase ha)]
theorem map_erase [decidable_eq β] {f : α → β} (finj : injective f) {a : α} :
∀ (l : list α), map f (l.erase a) = (map f l).erase (f a)
| [] := rfl
| (b::l) := if h : f b = f a then by simp only [h, finj h, erase_cons_head, map_cons]
else by simp only [map, erase_cons_tail _ h, erase_cons_tail _ (mt (congr_arg f) h), map_erase l]; split; refl
theorem map_foldl_erase [decidable_eq β] {f : α → β} (finj : injective f) {l₁ l₂ : list α} :
map f (foldl list.erase l₁ l₂) = foldl (λ l a, l.erase (f a)) (map f l₁) l₂ :=
by induction l₂ generalizing l₁; [refl,
simp only [foldl_cons, map_erase finj, *]]
end erase
/- diff -/
section diff
variable [decidable_eq α]
@[simp] theorem diff_nil (l : list α) : l.diff [] = l := rfl
@[simp] theorem diff_cons (l₁ l₂ : list α) (a : α) : l₁.diff (a::l₂) = (l₁.erase a).diff l₂ :=
if h : a ∈ l₁ then by simp only [list.diff, if_pos h]
else by simp only [list.diff, if_neg h, erase_of_not_mem h]
@[simp] theorem nil_diff (l : list α) : [].diff l = [] :=
by induction l; [refl, simp only [*, diff_cons, erase_of_not_mem (not_mem_nil _)]]
theorem diff_eq_foldl : ∀ (l₁ l₂ : list α), l₁.diff l₂ = foldl list.erase l₁ l₂
| l₁ [] := rfl
| l₁ (a::l₂) := (diff_cons l₁ l₂ a).trans (diff_eq_foldl _ _)
@[simp] theorem diff_append (l₁ l₂ l₃ : list α) : l₁.diff (l₂ ++ l₃) = (l₁.diff l₂).diff l₃ :=
by simp only [diff_eq_foldl, foldl_append]
@[simp] theorem map_diff [decidable_eq β] {f : α → β} (finj : injective f) {l₁ l₂ : list α} :
map f (l₁.diff l₂) = (map f l₁).diff (map f l₂) :=
by simp only [diff_eq_foldl, foldl_map, map_foldl_erase finj]
theorem diff_sublist : ∀ l₁ l₂ : list α, l₁.diff l₂ <+ l₁
| l₁ [] := sublist.refl _
| l₁ (a::l₂) := calc l₁.diff (a :: l₂) = (l₁.erase a).diff l₂ : diff_cons _ _ _
... <+ l₁.erase a : diff_sublist _ _
... <+ l₁ : list.erase_sublist _ _
theorem diff_subset (l₁ l₂ : list α) : l₁.diff l₂ ⊆ l₁ :=
subset_of_sublist $ diff_sublist _ _
theorem mem_diff_of_mem {a : α} : ∀ {l₁ l₂ : list α}, a ∈ l₁ → a ∉ l₂ → a ∈ l₁.diff l₂
| l₁ [] h₁ h₂ := h₁
| l₁ (b::l₂) h₁ h₂ := by rw diff_cons; exact
mem_diff_of_mem ((mem_erase_of_ne (ne_of_not_mem_cons h₂)).2 h₁) (not_mem_of_not_mem_cons h₂)
theorem diff_sublist_of_sublist : ∀ {l₁ l₂ l₃: list α}, l₁ <+ l₂ → l₁.diff l₃ <+ l₂.diff l₃
| l₁ l₂ [] h := h
| l₁ l₂ (a::l₃) h := by simp only
[diff_cons, diff_sublist_of_sublist (erase_sublist_erase _ h)]
theorem erase_diff_erase_sublist_of_sublist {a : α} : ∀ {l₁ l₂ : list α},
l₁ <+ l₂ → (l₂.erase a).diff (l₁.erase a) <+ l₂.diff l₁
| [] l₂ h := erase_sublist _ _
| (b::l₁) l₂ h := if heq : b = a then by simp only [heq, erase_cons_head, diff_cons]
else by simpa only [erase_cons_head, erase_cons_tail _ heq, diff_cons, erase_comm a b l₂]
using erase_diff_erase_sublist_of_sublist (erase_sublist_erase b h)
end diff
/- zip & unzip -/
@[simp] theorem zip_cons_cons (a : α) (b : β) (l₁ : list α) (l₂ : list β) :
zip (a :: l₁) (b :: l₂) = (a, b) :: zip l₁ l₂ := rfl
@[simp] theorem zip_nil_left (l : list α) : zip ([] : list β) l = [] := rfl
@[simp] theorem zip_nil_right (l : list α) : zip l ([] : list β) = [] :=
by cases l; refl
@[simp] theorem zip_swap : ∀ (l₁ : list α) (l₂ : list β),
(zip l₁ l₂).map prod.swap = zip l₂ l₁
| [] l₂ := (zip_nil_right _).symm
| l₁ [] := by rw zip_nil_right; refl
| (a::l₁) (b::l₂) := by simp only [zip_cons_cons, map_cons, zip_swap l₁ l₂, prod.swap_prod_mk]; split; refl
@[simp] theorem length_zip : ∀ (l₁ : list α) (l₂ : list β),
length (zip l₁ l₂) = min (length l₁) (length l₂)
| [] l₂ := rfl
| l₁ [] := by simp only [length, zip_nil_right, min_zero]
| (a::l₁) (b::l₂) := by by simp only [length, zip_cons_cons, length_zip l₁ l₂, min_add_add_right]
theorem zip_append : ∀ {l₁ l₂ r₁ r₂ : list α} (h : length l₁ = length l₂),
zip (l₁ ++ r₁) (l₂ ++ r₂) = zip l₁ l₂ ++ zip r₁ r₂
| [] l₂ r₁ r₂ h := by simp only [eq_nil_of_length_eq_zero h.symm]; refl
| l₁ [] r₁ r₂ h := by simp only [eq_nil_of_length_eq_zero h]; refl
| (a::l₁) (b::l₂) r₁ r₂ h := by simp only [cons_append, zip_cons_cons, zip_append (succ_inj h)]; split; refl
theorem zip_map (f : α → γ) (g : β → δ) : ∀ (l₁ : list α) (l₂ : list β),
zip (l₁.map f) (l₂.map g) = (zip l₁ l₂).map (prod.map f g)
| [] l₂ := rfl
| l₁ [] := by simp only [map, zip_nil_right]
| (a::l₁) (b::l₂) := by simp only [map, zip_cons_cons, zip_map l₁ l₂, prod.map]; split; refl
theorem zip_map_left (f : α → γ) (l₁ : list α) (l₂ : list β) :
zip (l₁.map f) l₂ = (zip l₁ l₂).map (prod.map f id) :=
by rw [← zip_map, map_id]
theorem zip_map_right (f : β → γ) (l₁ : list α) (l₂ : list β) :
zip l₁ (l₂.map f) = (zip l₁ l₂).map (prod.map id f) :=
by rw [← zip_map, map_id]
theorem zip_map' (f : α → β) (g : α → γ) : ∀ (l : list α),
zip (l.map f) (l.map g) = l.map (λ a, (f a, g a))
| [] := rfl
| (a::l) := by simp only [map, zip_cons_cons, zip_map' l]; split; refl
theorem mem_zip {a b} : ∀ {l₁ : list α} {l₂ : list β},
(a, b) ∈ zip l₁ l₂ → a ∈ l₁ ∧ b ∈ l₂
| (_::l₁) (_::l₂) (or.inl rfl) := ⟨or.inl rfl, or.inl rfl⟩
| (a'::l₁) (b'::l₂) (or.inr h) := by split; simp only [mem_cons_iff, or_true, mem_zip h]
@[simp] theorem unzip_nil : unzip (@nil (α × β)) = ([], []) := rfl
@[simp] theorem unzip_cons (a : α) (b : β) (l : list (α × β)) :
unzip ((a, b) :: l) = (a :: (unzip l).1, b :: (unzip l).2) :=
by rw unzip; cases unzip l; refl
theorem unzip_eq_map : ∀ (l : list (α × β)), unzip l = (l.map prod.fst, l.map prod.snd)
| [] := rfl
| ((a, b) :: l) := by simp only [unzip_cons, map_cons, unzip_eq_map l]
theorem unzip_left (l : list (α × β)) : (unzip l).1 = l.map prod.fst :=
by simp only [unzip_eq_map]
theorem unzip_right (l : list (α × β)) : (unzip l).2 = l.map prod.snd :=
by simp only [unzip_eq_map]
theorem unzip_swap (l : list (α × β)) : unzip (l.map prod.swap) = (unzip l).swap :=
by simp only [unzip_eq_map, map_map]; split; refl
theorem zip_unzip : ∀ (l : list (α × β)), zip (unzip l).1 (unzip l).2 = l
| [] := rfl
| ((a, b) :: l) := by simp only [unzip_cons, zip_cons_cons, zip_unzip l]; split; refl
theorem unzip_zip_left : ∀ {l₁ : list α} {l₂ : list β}, length l₁ ≤ length l₂ →
(unzip (zip l₁ l₂)).1 = l₁
| [] l₂ h := rfl
| l₁ [] h := by rw eq_nil_of_length_eq_zero (eq_zero_of_le_zero h); refl
| (a::l₁) (b::l₂) h := by simp only [zip_cons_cons, unzip_cons, unzip_zip_left (le_of_succ_le_succ h)]; split; refl
theorem unzip_zip_right {l₁ : list α} {l₂ : list β} (h : length l₂ ≤ length l₁) :
(unzip (zip l₁ l₂)).2 = l₂ :=
by rw [← zip_swap, unzip_swap]; exact unzip_zip_left h
theorem unzip_zip {l₁ : list α} {l₂ : list β} (h : length l₁ = length l₂) :
unzip (zip l₁ l₂) = (l₁, l₂) :=
by rw [← @prod.mk.eta _ _ (unzip (zip l₁ l₂)),
unzip_zip_left (le_of_eq h), unzip_zip_right (ge_of_eq h)]
def revzip (l : list α) : list (α × α) := zip l l.reverse
@[simp] theorem length_revzip (l : list α) : length (revzip l) = length l :=
by simp only [revzip, length_zip, length_reverse, min_self]
@[simp] theorem unzip_revzip (l : list α) : (revzip l).unzip = (l, l.reverse) :=
unzip_zip (length_reverse l).symm
@[simp] theorem revzip_map_fst (l : list α) : (revzip l).map prod.fst = l :=
by rw [← unzip_left, unzip_revzip]
@[simp] theorem revzip_map_snd (l : list α) : (revzip l).map prod.snd = l.reverse :=
by rw [← unzip_right, unzip_revzip]
theorem reverse_revzip (l : list α) : reverse l.revzip = revzip l.reverse :=
by rw [← zip_unzip.{u u} (revzip l).reverse, unzip_eq_map]; simp; simp [revzip]
theorem revzip_swap (l : list α) : (revzip l).map prod.swap = revzip l.reverse :=
by simp [revzip]
/- enum -/
theorem length_enum_from : ∀ n (l : list α), length (enum_from n l) = length l
| n [] := rfl
| n (a::l) := congr_arg nat.succ (length_enum_from _ _)
theorem length_enum : ∀ (l : list α), length (enum l) = length l := length_enum_from _
@[simp] theorem enum_from_nth : ∀ n (l : list α) m,
nth (enum_from n l) m = (λ a, (n + m, a)) <$> nth l m
| n [] m := rfl
| n (a :: l) 0 := rfl
| n (a :: l) (m+1) := (enum_from_nth (n+1) l m).trans $
by rw [add_right_comm]; refl
@[simp] theorem enum_nth : ∀ (l : list α) n,
nth (enum l) n = (λ a, (n, a)) <$> nth l n :=
by simp only [enum, enum_from_nth, zero_add]; intros; refl
@[simp] theorem enum_from_map_snd : ∀ n (l : list α),
map prod.snd (enum_from n l) = l
| n [] := rfl
| n (a :: l) := congr_arg (cons _) (enum_from_map_snd _ _)
@[simp] theorem enum_map_snd : ∀ (l : list α),
map prod.snd (enum l) = l := enum_from_map_snd _
/- product -/
/-- `product l₁ l₂` is the list of pairs `(a, b)` where `a ∈ l₁` and `b ∈ l₂`.
product [1, 2] [5, 6] = [(1, 5), (1, 6), (2, 5), (2, 6)] -/
def product (l₁ : list α) (l₂ : list β) : list (α × β) :=
l₁.bind $ λ a, l₂.map $ prod.mk a
@[simp] theorem nil_product (l : list β) : product (@nil α) l = [] := rfl
@[simp] theorem product_cons (a : α) (l₁ : list α) (l₂ : list β)
: product (a::l₁) l₂ = map (λ b, (a, b)) l₂ ++ product l₁ l₂ := rfl
@[simp] theorem product_nil : ∀ (l : list α), product l (@nil β) = []
| [] := rfl
| (a::l) := by rw [product_cons, product_nil]; refl
@[simp] theorem mem_product {l₁ : list α} {l₂ : list β} {a : α} {b : β} :
(a, b) ∈ product l₁ l₂ ↔ a ∈ l₁ ∧ b ∈ l₂ :=
by simp only [product, mem_bind, mem_map, prod.ext_iff, exists_prop,
and.left_comm, exists_and_distrib_left, exists_eq_left, exists_eq_right]
theorem length_product (l₁ : list α) (l₂ : list β) :
length (product l₁ l₂) = length l₁ * length l₂ :=
by induction l₁ with x l₁ IH; [exact (zero_mul _).symm,
simp only [length, product_cons, length_append, IH,
right_distrib, one_mul, length_map, add_comm]]
/- sigma -/
section
variable {σ : α → Type*}
/-- `sigma l₁ l₂` is the list of dependent pairs `(a, b)` where `a ∈ l₁` and `b ∈ l₂ a`.
sigma [1, 2] (λ_, [5, 6]) = [(1, 5), (1, 6), (2, 5), (2, 6)] -/
protected def sigma (l₁ : list α) (l₂ : Π a, list (σ a)) : list (Σ a, σ a) :=
l₁.bind $ λ a, (l₂ a).map $ sigma.mk a
@[simp] theorem nil_sigma (l : Π a, list (σ a)) : (@nil α).sigma l = [] := rfl
@[simp] theorem sigma_cons (a : α) (l₁ : list α) (l₂ : Π a, list (σ a))
: (a::l₁).sigma l₂ = map (sigma.mk a) (l₂ a) ++ l₁.sigma l₂ := rfl
@[simp] theorem sigma_nil : ∀ (l : list α), l.sigma (λ a, @nil (σ a)) = []
| [] := rfl
| (a::l) := by rw [sigma_cons, sigma_nil]; refl
@[simp] theorem mem_sigma {l₁ : list α} {l₂ : Π a, list (σ a)} {a : α} {b : σ a} :
sigma.mk a b ∈ l₁.sigma l₂ ↔ a ∈ l₁ ∧ b ∈ l₂ a :=
by simp only [list.sigma, mem_bind, mem_map, exists_prop, exists_and_distrib_left,
and.left_comm, exists_eq_left, heq_iff_eq, exists_eq_right]
theorem length_sigma (l₁ : list α) (l₂ : Π a, list (σ a)) :
length (l₁.sigma l₂) = (l₁.map (λ a, length (l₂ a))).sum :=
by induction l₁ with x l₁ IH; [refl,
simp only [map, sigma_cons, length_append, length_map, IH, sum_cons]]
end
/- of_fn -/
def of_fn_aux {n} (f : fin n → α) : ∀ m, m ≤ n → list α → list α
| 0 h l := l
| (succ m) h l := of_fn_aux m (le_of_lt h) (f ⟨m, h⟩ :: l)
def of_fn {n} (f : fin n → α) : list α :=
of_fn_aux f n (le_refl _) []
theorem length_of_fn_aux {n} (f : fin n → α) :
∀ m h l, length (of_fn_aux f m h l) = length l + m
| 0 h l := rfl
| (succ m) h l := (length_of_fn_aux m _ _).trans (succ_add _ _)
@[simp] theorem length_of_fn {n} (f : fin n → α) : length (of_fn f) = n :=
(length_of_fn_aux f _ _ _).trans (zero_add _)
def of_fn_nth_val {n} (f : fin n → α) (i : ℕ) : option α :=
if h : _ then some (f ⟨i, h⟩) else none
theorem nth_of_fn_aux {n} (f : fin n → α) (i) :
∀ m h l,
(∀ i, nth l i = of_fn_nth_val f (i + m)) →
nth (of_fn_aux f m h l) i = of_fn_nth_val f i
| 0 h l H := H i
| (succ m) h l H := nth_of_fn_aux m _ _ begin
intro j, cases j with j,
{ simp only [nth, of_fn_nth_val, zero_add, dif_pos (show m < n, from h)] },
{ simp only [nth, H, succ_add] }
end
@[simp] theorem nth_of_fn {n} (f : fin n → α) (i) :
nth (of_fn f) i = of_fn_nth_val f i :=
nth_of_fn_aux f _ _ _ _ $ λ i,
by simp only [of_fn_nth_val, dif_neg (not_lt.2 (le_add_left n i))]; refl
@[simp] theorem nth_le_of_fn {n} (f : fin n → α) (i : fin n) :
nth_le (of_fn f) i.1 ((length_of_fn f).symm ▸ i.2) = f i :=
option.some.inj $ by rw [← nth_le_nth];
simp only [list.nth_of_fn, of_fn_nth_val, fin.eta, dif_pos i.2]
theorem array_eq_of_fn {n} (a : array n α) : a.to_list = of_fn a.read :=
suffices ∀ {m h l}, d_array.rev_iterate_aux a
(λ i, cons) m h l = of_fn_aux (d_array.read a) m h l, from this,
begin
intros, induction m with m IH generalizing l, {refl},
simp only [d_array.rev_iterate_aux, of_fn_aux, IH]
end
theorem of_fn_zero (f : fin 0 → α) : of_fn f = [] := rfl
theorem of_fn_succ {n} (f : fin (succ n) → α) :
of_fn f = f 0 :: of_fn (λ i, f i.succ) :=
suffices ∀ {m h l}, of_fn_aux f (succ m) (succ_le_succ h) l =
f 0 :: of_fn_aux (λ i, f i.succ) m h l, from this,
begin
intros, induction m with m IH generalizing l, {refl},
rw [of_fn_aux, IH], refl
end
theorem of_fn_nth_le : ∀ l : list α, of_fn (λ i, nth_le l i.1 i.2) = l
| [] := rfl
| (a::l) := by rw of_fn_succ; congr; simp only [fin.succ_val]; exact of_fn_nth_le l
/- disjoint -/
section disjoint
/-- `disjoint l₁ l₂` means that `l₁` and `l₂` have no elements in common. -/
def disjoint (l₁ l₂ : list α) : Prop := ∀ ⦃a⦄, a ∈ l₁ → a ∈ l₂ → false
theorem disjoint.symm {l₁ l₂ : list α} (d : disjoint l₁ l₂) : disjoint l₂ l₁
| a i₂ i₁ := d i₁ i₂
@[simp] theorem disjoint_comm {l₁ l₂ : list α} : disjoint l₁ l₂ ↔ disjoint l₂ l₁ :=
⟨disjoint.symm, disjoint.symm⟩
theorem disjoint_left {l₁ l₂ : list α} : disjoint l₁ l₂ ↔ ∀ {a}, a ∈ l₁ → a ∉ l₂ := iff.rfl
theorem disjoint_right {l₁ l₂ : list α} : disjoint l₁ l₂ ↔ ∀ {a}, a ∈ l₂ → a ∉ l₁ :=
disjoint_comm
theorem disjoint_iff_ne {l₁ l₂ : list α} : disjoint l₁ l₂ ↔ ∀ a ∈ l₁, ∀ b ∈ l₂, a ≠ b :=
by simp only [disjoint_left, imp_not_comm, forall_eq']
theorem disjoint_of_subset_left {l₁ l₂ l : list α} (ss : l₁ ⊆ l) (d : disjoint l l₂) : disjoint l₁ l₂
| x m₁ := d (ss m₁)
theorem disjoint_of_subset_right {l₁ l₂ l : list α} (ss : l₂ ⊆ l) (d : disjoint l₁ l) : disjoint l₁ l₂
| x m m₁ := d m (ss m₁)
theorem disjoint_of_disjoint_cons_left {a : α} {l₁ l₂} : disjoint (a::l₁) l₂ → disjoint l₁ l₂ :=
disjoint_of_subset_left (list.subset_cons _ _)
theorem disjoint_of_disjoint_cons_right {a : α} {l₁ l₂} : disjoint l₁ (a::l₂) → disjoint l₁ l₂ :=
disjoint_of_subset_right (list.subset_cons _ _)
@[simp] theorem disjoint_nil_left (l : list α) : disjoint [] l
| a := (not_mem_nil a).elim
@[simp] theorem singleton_disjoint {l : list α} {a : α} : disjoint [a] l ↔ a ∉ l :=
by simp only [disjoint, mem_singleton, forall_eq]; refl
@[simp] theorem disjoint_singleton {l : list α} {a : α} : disjoint l [a] ↔ a ∉ l :=
by rw disjoint_comm; simp only [singleton_disjoint]
@[simp] theorem disjoint_append_left {l₁ l₂ l : list α} :
disjoint (l₁++l₂) l ↔ disjoint l₁ l ∧ disjoint l₂ l :=
by simp only [disjoint, mem_append, or_imp_distrib, forall_and_distrib]
@[simp] theorem disjoint_append_right {l₁ l₂ l : list α} :
disjoint l (l₁++l₂) ↔ disjoint l l₁ ∧ disjoint l l₂ :=
disjoint_comm.trans $ by simp only [disjoint_comm, disjoint_append_left]
@[simp] theorem disjoint_cons_left {a : α} {l₁ l₂ : list α} :
disjoint (a::l₁) l₂ ↔ a ∉ l₂ ∧ disjoint l₁ l₂ :=
(@disjoint_append_left _ [a] l₁ l₂).trans $ by simp only [singleton_disjoint]
@[simp] theorem disjoint_cons_right {a : α} {l₁ l₂ : list α} :
disjoint l₁ (a::l₂) ↔ a ∉ l₁ ∧ disjoint l₁ l₂ :=
disjoint_comm.trans $ by simp only [disjoint_comm, disjoint_cons_left]
theorem disjoint_of_disjoint_append_left_left {l₁ l₂ l : list α} (d : disjoint (l₁++l₂) l) : disjoint l₁ l :=
(disjoint_append_left.1 d).1
theorem disjoint_of_disjoint_append_left_right {l₁ l₂ l : list α} (d : disjoint (l₁++l₂) l) : disjoint l₂ l :=
(disjoint_append_left.1 d).2
theorem disjoint_of_disjoint_append_right_left {l₁ l₂ l : list α} (d : disjoint l (l₁++l₂)) : disjoint l l₁ :=
(disjoint_append_right.1 d).1
theorem disjoint_of_disjoint_append_right_right {l₁ l₂ l : list α} (d : disjoint l (l₁++l₂)) : disjoint l l₂ :=
(disjoint_append_right.1 d).2
end disjoint
/- union -/
section union
variable [decidable_eq α]
@[simp] theorem nil_union (l : list α) : [] ∪ l = l := rfl
@[simp] theorem cons_union (l₁ l₂ : list α) (a : α) : a :: l₁ ∪ l₂ = insert a (l₁ ∪ l₂) := rfl
@[simp] theorem mem_union {l₁ l₂ : list α} {a : α} : a ∈ l₁ ∪ l₂ ↔ a ∈ l₁ ∨ a ∈ l₂ :=
by induction l₁; simp only [nil_union, not_mem_nil, false_or, cons_union, mem_insert_iff, mem_cons_iff, or_assoc, *]
theorem mem_union_left {a : α} {l₁ : list α} (h : a ∈ l₁) (l₂ : list α) : a ∈ l₁ ∪ l₂ :=
mem_union.2 (or.inl h)
theorem mem_union_right {a : α} (l₁ : list α) {l₂ : list α} (h : a ∈ l₂) : a ∈ l₁ ∪ l₂ :=
mem_union.2 (or.inr h)
theorem sublist_suffix_of_union : ∀ l₁ l₂ : list α, ∃ t, t <+ l₁ ∧ t ++ l₂ = l₁ ∪ l₂
| [] l₂ := ⟨[], by refl, rfl⟩
| (a::l₁) l₂ := let ⟨t, s, e⟩ := sublist_suffix_of_union l₁ l₂ in
if h : a ∈ l₁ ∪ l₂
then ⟨t, sublist_cons_of_sublist _ s, by simp only [e, cons_union, insert_of_mem h]⟩
else ⟨a::t, cons_sublist_cons _ s, by simp only [cons_append, cons_union, e, insert_of_not_mem h]; split; refl⟩
theorem suffix_union_right (l₁ l₂ : list α) : l₂ <:+ l₁ ∪ l₂ :=
(sublist_suffix_of_union l₁ l₂).imp (λ a, and.right)
theorem union_sublist_append (l₁ l₂ : list α) : l₁ ∪ l₂ <+ l₁ ++ l₂ :=
let ⟨t, s, e⟩ := sublist_suffix_of_union l₁ l₂ in
e ▸ (append_sublist_append_right _).2 s
theorem forall_mem_union {p : α → Prop} {l₁ l₂ : list α} :
(∀ x ∈ l₁ ∪ l₂, p x) ↔ (∀ x ∈ l₁, p x) ∧ (∀ x ∈ l₂, p x) :=
by simp only [mem_union, or_imp_distrib, forall_and_distrib]
theorem forall_mem_of_forall_mem_union_left {p : α → Prop} {l₁ l₂ : list α}
(h : ∀ x ∈ l₁ ∪ l₂, p x) : ∀ x ∈ l₁, p x :=
(forall_mem_union.1 h).1
theorem forall_mem_of_forall_mem_union_right {p : α → Prop} {l₁ l₂ : list α}
(h : ∀ x ∈ l₁ ∪ l₂, p x) : ∀ x ∈ l₂, p x :=
(forall_mem_union.1 h).2
end union
/- inter -/
section inter
variable [decidable_eq α]
@[simp] theorem inter_nil (l : list α) : [] ∩ l = [] := rfl
@[simp] theorem inter_cons_of_mem {a : α} (l₁ : list α) {l₂ : list α} (h : a ∈ l₂) :
(a::l₁) ∩ l₂ = a :: (l₁ ∩ l₂) :=
if_pos h
@[simp] theorem inter_cons_of_not_mem {a : α} (l₁ : list α) {l₂ : list α} (h : a ∉ l₂) :
(a::l₁) ∩ l₂ = l₁ ∩ l₂ :=
if_neg h
theorem mem_of_mem_inter_left {l₁ l₂ : list α} {a : α} : a ∈ l₁ ∩ l₂ → a ∈ l₁ :=
mem_of_mem_filter
theorem mem_of_mem_inter_right {l₁ l₂ : list α} {a : α} : a ∈ l₁ ∩ l₂ → a ∈ l₂ :=
of_mem_filter
theorem mem_inter_of_mem_of_mem {l₁ l₂ : list α} {a : α} : a ∈ l₁ → a ∈ l₂ → a ∈ l₁ ∩ l₂ :=
mem_filter_of_mem
@[simp] theorem mem_inter {a : α} {l₁ l₂ : list α} : a ∈ l₁ ∩ l₂ ↔ a ∈ l₁ ∧ a ∈ l₂ :=
mem_filter
theorem inter_subset_left (l₁ l₂ : list α) : l₁ ∩ l₂ ⊆ l₁ :=
filter_subset _
theorem inter_subset_right (l₁ l₂ : list α) : l₁ ∩ l₂ ⊆ l₂ :=
λ a, mem_of_mem_inter_right
theorem subset_inter {l l₁ l₂ : list α} (h₁ : l ⊆ l₁) (h₂ : l ⊆ l₂) : l ⊆ l₁ ∩ l₂ :=
λ a h, mem_inter.2 ⟨h₁ h, h₂ h⟩
theorem inter_eq_nil_iff_disjoint {l₁ l₂ : list α} : l₁ ∩ l₂ = [] ↔ disjoint l₁ l₂ :=
by simp only [eq_nil_iff_forall_not_mem, mem_inter, not_and]; refl
theorem forall_mem_inter_of_forall_left {p : α → Prop} {l₁ : list α} (h : ∀ x ∈ l₁, p x)
(l₂ : list α) :
∀ x, x ∈ l₁ ∩ l₂ → p x :=
ball.imp_left (λ x, mem_of_mem_inter_left) h
theorem forall_mem_inter_of_forall_right {p : α → Prop} (l₁ : list α) {l₂ : list α}
(h : ∀ x ∈ l₂, p x) :
∀ x, x ∈ l₁ ∩ l₂ → p x :=
ball.imp_left (λ x, mem_of_mem_inter_right) h
end inter
/- bag_inter -/
section bag_inter
variable [decidable_eq α]
@[simp] theorem nil_bag_inter (l : list α) : [].bag_inter l = [] :=
by cases l; refl
@[simp] theorem bag_inter_nil (l : list α) : l.bag_inter [] = [] :=
by cases l; refl
@[simp] theorem cons_bag_inter_of_pos {a} (l₁ : list α) {l₂} (h : a ∈ l₂) :
(a :: l₁).bag_inter l₂ = a :: l₁.bag_inter (l₂.erase a) :=
by cases l₂; exact if_pos h
@[simp] theorem cons_bag_inter_of_neg {a} (l₁ : list α) {l₂} (h : a ∉ l₂) :
(a :: l₁).bag_inter l₂ = l₁.bag_inter l₂ :=
begin
cases l₂, {simp only [bag_inter_nil]},
simp only [erase_of_not_mem h, list.bag_inter, if_neg h]
end
theorem mem_bag_inter {a : α} : ∀ {l₁ l₂ : list α}, a ∈ l₁.bag_inter l₂ ↔ a ∈ l₁ ∧ a ∈ l₂
| [] l₂ := by simp only [nil_bag_inter, not_mem_nil, false_and]
| (b::l₁) l₂ := begin
by_cases b ∈ l₂,
{ rw [cons_bag_inter_of_pos _ h, mem_cons_iff, mem_cons_iff, mem_bag_inter],
by_cases ba : a = b,
{ simp only [ba, h, eq_self_iff_true, true_or, true_and] },
{ simp only [mem_erase_of_ne ba, ba, false_or] } },
{ rw [cons_bag_inter_of_neg _ h, mem_bag_inter, mem_cons_iff, or_and_distrib_right],
symmetry, apply or_iff_right_of_imp,
rintro ⟨rfl, h'⟩, exact h.elim h' }
end
theorem bag_inter_sublist_left : ∀ l₁ l₂ : list α, l₁.bag_inter l₂ <+ l₁
| [] l₂ := by simp [nil_sublist]
| (b::l₁) l₂ := begin
by_cases b ∈ l₂; simp [h],
{ apply cons_sublist_cons, apply bag_inter_sublist_left },
{ apply sublist_cons_of_sublist, apply bag_inter_sublist_left }
end
end bag_inter
/- pairwise relation (generalized no duplicate) -/
section pairwise
variable (R : α → α → Prop)
/-- `pairwise R l` means that all the elements with earlier indexes are
`R`-related to all the elements with later indexes.
pairwise R [1, 2, 3] ↔ R 1 2 ∧ R 1 3 ∧ R 2 3
For example if `R = (≠)` then it asserts `l` has no duplicates,
and if `R = (<)` then it asserts that `l` is (strictly) sorted. -/
inductive pairwise : list α → Prop
| nil : pairwise []
| cons : ∀ {a : α} {l : list α}, (∀ a' ∈ l, R a a') → pairwise l → pairwise (a::l)
attribute [simp] pairwise.nil
run_cmd tactic.mk_iff_of_inductive_prop `list.pairwise `list.pairwise_iff
variable {R}
@[simp] theorem pairwise_cons {a : α} {l : list α} :
pairwise R (a::l) ↔ (∀ a' ∈ l, R a a') ∧ pairwise R l :=
⟨λ p, by cases p with a l n p; exact ⟨n, p⟩, λ ⟨n, p⟩, p.cons n⟩
theorem rel_of_pairwise_cons {a : α} {l : list α}
(p : pairwise R (a::l)) : ∀ {a'}, a' ∈ l → R a a' :=
(pairwise_cons.1 p).1
theorem pairwise_of_pairwise_cons {a : α} {l : list α}
(p : pairwise R (a::l)) : pairwise R l :=
(pairwise_cons.1 p).2
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
theorem pairwise.imp {S : α → α → Prop}
(H : ∀ a b, R a b → S a b) {l : list α} : pairwise R l → pairwise S l :=
pairwise.imp_of_mem (λ a b _ _, H a b)
theorem pairwise.and {S : α → α → Prop} {l : list α} :
pairwise (λ a b, R a b ∧ S a b) l ↔ pairwise R l ∧ pairwise S l :=
⟨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⟩
theorem pairwise.imp₂ {S : α → α → Prop} {T : α → α → Prop}
(H : ∀ a b, R a b → S a b → T a b) {l : list α}
(hR : pairwise R l) (hS : pairwise S l) : pairwise T l :=
(pairwise.and.2 ⟨hR, 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})
theorem pairwise_of_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 n) := pairwise_of_sublist s n
| ._ ._ (sublist.cons2 l₁ l₂ a s) (pairwise.cons i n) :=
(pairwise_of_sublist s n).cons (ball.imp_left (subset_of_sublist s) i)
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_app_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_app_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]
theorem pairwise_of_pairwise_map {S : β → β → Prop} (f : α → β)
(H : ∀ a b : α, S (f a) (f b) → R a b) {l : list α}
(p : pairwise S (map f l)) : pairwise R l :=
((pairwise_map f).1 p).imp H
theorem pairwise_map_of_pairwise {S : β → β → Prop} (f : α → β)
(H : ∀ a b : α, R a b → S (f a) (f b)) {l : list α}
(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_of_pairwise {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
theorem pairwise_filter_of_pairwise (p : α → Prop) [decidable_pred p] {l : list α}
: pairwise R l → pairwise R (filter p l) :=
pairwise_of_sublist (filter_sublist _)
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
@[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]
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, (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 (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],
have IH := pairwise_sublists' H₂,
refine ⟨IH, IH.imp (λ l₁ l₂, lex.cons), _⟩,
intros l₁ sl₁ x l₂ sl₂ e, subst e,
cases l₁ with b l₁, {constructor},
exact lex.rel (H₁ _ $ subset_of_sublist sl₁ $ 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_sublists' (pairwise_reverse.2 H);
rwa [sublists'_reverse, pairwise_map] at this
variable [decidable_rel R]
instance decidable_pairwise (l : list α) : decidable (pairwise R l) :=
by induction l with hd tl ih; [exact is_true (pairwise.nil _),
exactI decidable_of_iff' _ pairwise_cons]
/- pairwise reduct -/
/-- `pw_filter R l` is a maximal sublist of `l` which is `pairwise R`.
`pw_filter (≠)` is the erase duplicates function, and `pw_filter (<)` finds
a maximal increasing subsequence in `l`. For example,
pw_filter (<) [0, 1, 5, 2, 6, 3, 4] = [0, 1, 5, 6] -/
def pw_filter (R : α → α → Prop) [decidable_rel R] : list α → list α
| [] := []
| (x :: xs) := let IH := pw_filter xs in if ∀ y ∈ IH, R x y then x :: IH else IH
@[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_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 cons_sublist_cons _ (pw_filter_sublist l) },
{ 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 :=
subset_of_sublist (pw_filter_sublist _)
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⟩
@[simp] theorem pw_filter_idempotent {l : list α} :
pw_filter R (pw_filter R l) = pw_filter R l :=
pw_filter_eq_self.mpr (pairwise_pw_filter l)
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 pairwise
/- chain relation (conjunction of R a b ∧ R b c ∧ R c d ...) -/
section chain
variable (R : α → α → Prop)
/-- `chain R a l` means that `R` holds between adjacent elements of `a::l`.
`chain R a [b, c, d] ↔ R a b ∧ R b c ∧ R c d` -/
inductive chain : α → list α → Prop
| nil (a : α) : chain a []
| cons : ∀ {a b : α} {l : list α}, R a b → chain b l → chain a (b::l)
attribute [simp] chain.nil
run_cmd tactic.mk_iff_of_inductive_prop `list.chain `list.chain_iff
variable {R}
@[simp] theorem chain_cons {a b : α} {l : list α} :
chain R a (b::l) ↔ R a b ∧ chain R b l :=
⟨λ p, by cases p with _ a b l n p; exact ⟨n, p⟩, λ ⟨n, p⟩, p.cons n⟩
theorem rel_of_chain_cons {a b : α} {l : list α}
(p : chain R a (b::l)) : R a b :=
(chain_cons.1 p).1
theorem chain_of_chain_cons {a b : α} {l : list α}
(p : chain R a (b::l)) : chain R b l :=
(chain_cons.1 p).2
theorem chain.imp {S : α → α → Prop}
(H : ∀ a b, R a b → S a b) {a : α} {l : list α} (p : chain R a l) : chain S a l :=
by induction p with _ a b l r p IH; constructor;
[exact H _ _ r, exact IH]
theorem chain.iff {S : α → α → Prop}
(H : ∀ a b, R a b ↔ S a b) {a : α} {l : list α} : chain R a l ↔ chain S a l :=
⟨chain.imp (λ a b, (H a b).1), chain.imp (λ a b, (H a b).2)⟩
theorem chain.iff_mem {S : α → α → Prop} {a : α} {l : list α} :
chain R a l ↔ chain (λ x y, x ∈ a :: l ∧ y ∈ l ∧ R x y) a l :=
⟨λ p, by induction p with _ a b l r p IH; constructor;
[exact ⟨mem_cons_self _ _, mem_cons_self _ _, r⟩,
exact IH.imp (λ a b ⟨am, bm, h⟩,
⟨mem_cons_of_mem _ am, mem_cons_of_mem _ bm, h⟩)],
chain.imp (λ a b h, h.2.2)⟩
theorem chain_singleton {a b : α} : chain R a [b] ↔ R a b :=
by simp only [chain_cons, chain.nil, and_true]
theorem chain_split {a b : α} {l₁ l₂ : list α} : chain R a (l₁++b::l₂) ↔
chain R a (l₁++[b]) ∧ chain R b l₂ :=
by induction l₁ with x l₁ IH generalizing a;
simp only [*, nil_append, cons_append, chain.nil, chain_cons, and_true, and_assoc]
theorem chain_map (f : β → α) {b : β} {l : list β} :
chain R (f b) (map f l) ↔ chain (λ a b : β, R (f a) (f b)) b l :=
by induction l generalizing b; simp only [map, chain.nil, chain_cons, *]
theorem chain_of_chain_map {S : β → β → Prop} (f : α → β)
(H : ∀ a b : α, S (f a) (f b) → R a b) {a : α} {l : list α}
(p : chain S (f a) (map f l)) : chain R a l :=
((chain_map f).1 p).imp H
theorem chain_map_of_chain {S : β → β → Prop} (f : α → β)
(H : ∀ a b : α, R a b → S (f a) (f b)) {a : α} {l : list α}
(p : chain R a l) : chain S (f a) (map f l) :=
(chain_map f).2 $ p.imp H
theorem chain_of_pairwise {a : α} {l : list α} (p : pairwise R (a::l)) : chain R a l :=
begin
cases pairwise_cons.1 p with r p', clear p,
induction p' with b l r' p IH generalizing a, {exact chain.nil _ _},
simp only [chain_cons, forall_mem_cons] at r,
exact chain_cons.2 ⟨r.1, IH r'⟩
end
theorem chain_iff_pairwise (tr : transitive R) {a : α} {l : list α} :
chain R a l ↔ pairwise R (a::l) :=
⟨λ c, begin
induction c with b b c l r p IH, {exact pairwise_singleton _ _},
apply IH.cons _, simp only [mem_cons_iff, forall_mem_cons', r, true_and],
show ∀ x ∈ l, R b x, from λ x m, (tr r (rel_of_pairwise_cons IH m)),
end, chain_of_pairwise⟩
instance decidable_chain [decidable_rel R] (a : α) (l : list α) : decidable (chain R a l) :=
by induction l generalizing a; simp only [chain.nil, chain_cons]; resetI; apply_instance
end chain
/- no duplicates predicate -/
/-- `nodup l` means that `l` has no duplicates, that is, any element appears at most
once in the list. It is defined as `pairwise (≠)`. -/
def nodup : list α → Prop := pairwise (≠)
section nodup
@[simp] theorem forall_mem_ne {a : α} {l : list α} : (∀ (a' : α), a' ∈ l → ¬a = a') ↔ a ∉ l :=
⟨λ h m, h _ m rfl, λ h a' m e, h (e.symm ▸ m)⟩
@[simp] theorem nodup_nil : @nodup α [] := pairwise.nil _
@[simp] theorem nodup_cons {a : α} {l : list α} : nodup (a::l) ↔ a ∉ l ∧ nodup l :=
by simp only [nodup, pairwise_cons, forall_mem_ne]
lemma rel_nodup {r : α → β → Prop} (hr : relator.bi_unique r) : (forall₂ r ⇒ (↔)) nodup nodup
| _ _ forall₂.nil := by simp only [nodup_nil]
| _ _ (forall₂.cons hab h) :=
by simpa only [nodup_cons] using relator.rel_and (relator.rel_not (rel_mem hr hab h)) (rel_nodup h)
theorem nodup_cons_of_nodup {a : α} {l : list α} (m : a ∉ l) (n : nodup l) : nodup (a::l) :=
nodup_cons.2 ⟨m, n⟩
theorem nodup_singleton (a : α) : nodup [a] :=
nodup_cons_of_nodup (not_mem_nil a) nodup_nil
theorem nodup_of_nodup_cons {a : α} {l : list α} (h : nodup (a::l)) : nodup l :=
(nodup_cons.1 h).2
theorem not_mem_of_nodup_cons {a : α} {l : list α} (h : nodup (a::l)) : a ∉ l :=
(nodup_cons.1 h).1
theorem not_nodup_cons_of_mem {a : α} {l : list α} : a ∈ l → ¬ nodup (a :: l) :=
imp_not_comm.1 not_mem_of_nodup_cons
theorem nodup_of_sublist {l₁ l₂ : list α} : l₁ <+ l₂ → nodup l₂ → nodup l₁ :=
pairwise_of_sublist
theorem not_nodup_pair (a : α) : ¬ nodup [a, a] :=
not_nodup_cons_of_mem $ mem_singleton_self _
theorem nodup_iff_sublist {l : list α} : nodup l ↔ ∀ a, ¬ [a, a] <+ l :=
⟨λ d a h, not_nodup_pair a (nodup_of_sublist h d), begin
induction l with a l IH; intro h, {exact nodup_nil},
exact nodup_cons_of_nodup
(λ al, h a $ cons_sublist_cons _ $ singleton_sublist.2 al)
(IH $ λ a s, h a $ sublist_cons_of_sublist _ s)
end⟩
theorem nodup_iff_nth_le_inj {l : list α} :
nodup l ↔ ∀ i j h₁ h₂, nth_le l i h₁ = nth_le l j h₂ → i = j :=
pairwise_iff_nth_le.trans
⟨λ H i j h₁ h₂ h, ((lt_trichotomy _ _)
.resolve_left (λ h', H _ _ h₂ h' h))
.resolve_right (λ h', H _ _ h₁ h' h.symm),
λ H i j h₁ h₂ h, ne_of_lt h₂ (H _ _ _ _ h)⟩
@[simp] theorem nth_le_index_of [decidable_eq α] {l : list α} (H : nodup l) (n h) : index_of (nth_le l n h) l = n :=
nodup_iff_nth_le_inj.1 H _ _ _ h $
index_of_nth_le $ index_of_lt_length.2 $ nth_le_mem _ _ _
theorem nodup_iff_count_le_one [decidable_eq α] {l : list α} : nodup l ↔ ∀ a, count a l ≤ 1 :=
nodup_iff_sublist.trans $ forall_congr $ λ a,
have [a, a] <+ l ↔ 1 < count a l, from (@le_count_iff_repeat_sublist _ _ a l 2).symm,
(not_congr this).trans not_lt
@[simp] theorem count_eq_one_of_mem [decidable_eq α] {a : α} {l : list α}
(d : nodup l) (h : a ∈ l) : count a l = 1 :=
le_antisymm (nodup_iff_count_le_one.1 d a) (count_pos.2 h)
theorem nodup_of_nodup_append_left {l₁ l₂ : list α} : nodup (l₁++l₂) → nodup l₁ :=
nodup_of_sublist (sublist_append_left l₁ l₂)
theorem nodup_of_nodup_append_right {l₁ l₂ : list α} : nodup (l₁++l₂) → nodup l₂ :=
nodup_of_sublist (sublist_append_right l₁ l₂)
theorem nodup_append {l₁ l₂ : list α} : nodup (l₁++l₂) ↔ nodup l₁ ∧ nodup l₂ ∧ disjoint l₁ l₂ :=
by simp only [nodup, pairwise_append, disjoint_iff_ne]
theorem disjoint_of_nodup_append {l₁ l₂ : list α} (d : nodup (l₁++l₂)) : disjoint l₁ l₂ :=
(nodup_append.1 d).2.2
theorem nodup_append_of_nodup {l₁ l₂ : list α} (d₁ : nodup l₁) (d₂ : nodup l₂) (dj : disjoint l₁ l₂) : nodup (l₁++l₂) :=
nodup_append.2 ⟨d₁, d₂, dj⟩
theorem nodup_app_comm {l₁ l₂ : list α} : nodup (l₁++l₂) ↔ nodup (l₂++l₁) :=
by simp only [nodup_append, and.left_comm, disjoint_comm]
theorem nodup_middle {a : α} {l₁ l₂ : list α} : nodup (l₁ ++ a::l₂) ↔ nodup (a::(l₁++l₂)) :=
by simp only [nodup_append, not_or_distrib, and.left_comm, and_assoc, nodup_cons, mem_append, disjoint_cons_right]
theorem nodup_of_nodup_map (f : α → β) {l : list α} : nodup (map f l) → nodup l :=
pairwise_of_pairwise_map f $ λ a b, mt $ congr_arg f
theorem nodup_map_on {f : α → β} {l : list α} (H : ∀x∈l, ∀y∈l, f x = f y → x = y)
(d : nodup l) : nodup (map f l) :=
pairwise_map_of_pairwise _ (by exact λ a b ⟨ma, mb, n⟩ e, n (H a ma b mb e)) (pairwise.and_mem.1 d)
theorem nodup_map {f : α → β} {l : list α} (hf : injective f) : nodup l → nodup (map f l) :=
nodup_map_on (assume x _ y _ h, hf h)
theorem nodup_map_iff {f : α → β} {l : list α} (hf : injective f) : nodup (map f l) ↔ nodup l :=
⟨nodup_of_nodup_map _, nodup_map hf⟩
@[simp] theorem nodup_attach {l : list α} : nodup (attach l) ↔ nodup l :=
⟨λ h, attach_map_val l ▸ nodup_map (λ a b, subtype.eq) h,
λ h, nodup_of_nodup_map subtype.val ((attach_map_val l).symm ▸ h)⟩
theorem nodup_pmap {p : α → Prop} {f : Π a, p a → β} {l : list α} {H}
(hf : ∀ a ha b hb, f a ha = f b hb → a = b) (h : nodup l) : nodup (pmap f l H) :=
by rw [pmap_eq_map_attach]; exact nodup_map
(λ ⟨a, ha⟩ ⟨b, hb⟩ h, by congr; exact hf a (H _ ha) b (H _ hb) h)
(nodup_attach.2 h)
theorem nodup_filter (p : α → Prop) [decidable_pred p] {l} : nodup l → nodup (filter p l) :=
pairwise_filter_of_pairwise p
@[simp] theorem nodup_reverse {l : list α} : nodup (reverse l) ↔ nodup l :=
pairwise_reverse.trans $ by simp only [nodup, ne.def, eq_comm]
instance nodup_decidable [decidable_eq α] : ∀ l : list α, decidable (nodup l) :=
list.decidable_pairwise
theorem nodup_erase_eq_filter [decidable_eq α] (a : α) {l} (d : nodup l) : l.erase a = filter (≠ a) l :=
begin
induction d with b l m d IH, {refl},
by_cases b = a,
{ subst h, rw [erase_cons_head, filter_cons_of_neg],
symmetry, rw filter_eq_self, simpa only [ne.def, eq_comm] using m, exact not_not_intro rfl },
{ rw [erase_cons_tail _ h, filter_cons_of_pos, IH], exact h }
end
theorem nodup_erase_of_nodup [decidable_eq α] (a : α) {l} : nodup l → nodup (l.erase a) :=
nodup_of_sublist (erase_sublist _ _)
theorem mem_erase_iff_of_nodup [decidable_eq α] {a b : α} {l} (d : nodup l) :
a ∈ l.erase b ↔ a ≠ b ∧ a ∈ l :=
by rw nodup_erase_eq_filter b d; simp only [mem_filter, and_comm]
theorem mem_erase_of_nodup [decidable_eq α] {a : α} {l} (h : nodup l) : a ∉ l.erase a :=
λ H, ((mem_erase_iff_of_nodup h).1 H).1 rfl
theorem nodup_join {L : list (list α)} : nodup (join L) ↔ (∀ l ∈ L, nodup l) ∧ pairwise disjoint L :=
by simp only [nodup, pairwise_join, disjoint_left.symm, forall_mem_ne]
theorem nodup_bind {l₁ : list α} {f : α → list β} : nodup (l₁.bind f) ↔
(∀ x ∈ l₁, nodup (f x)) ∧ pairwise (λ (a b : α), disjoint (f a) (f b)) l₁ :=
by simp only [list.bind, nodup_join, pairwise_map, and_comm, and.left_comm, mem_map, exists_imp_distrib, and_imp];
rw [show (∀ (l : list β) (x : α), f x = l → x ∈ l₁ → nodup l) ↔
(∀ (x : α), x ∈ l₁ → nodup (f x)),
from forall_swap.trans $ forall_congr $ λ_, forall_eq']
theorem nodup_product {l₁ : list α} {l₂ : list β} (d₁ : nodup l₁) (d₂ : nodup l₂) :
nodup (product l₁ l₂) :=
nodup_bind.2
⟨λ a ma, nodup_map (injective_of_left_inverse (λ b, (rfl : (a,b).2 = b))) d₂,
d₁.imp $ λ a₁ a₂ n x h₁ h₂, begin
rcases mem_map.1 h₁ with ⟨b₁, mb₁, rfl⟩,
rcases mem_map.1 h₂ with ⟨b₂, mb₂, ⟨⟩⟩,
exact n rfl
end⟩
theorem nodup_sigma {σ : α → Type*} {l₁ : list α} {l₂ : Π a, list (σ a)}
(d₁ : nodup l₁) (d₂ : ∀ a, nodup (l₂ a)) : nodup (l₁.sigma l₂) :=
nodup_bind.2
⟨λ a ma, nodup_map (λ b b' h, by injection h with _ h; exact eq_of_heq h) (d₂ a),
d₁.imp $ λ a₁ a₂ n x h₁ h₂, begin
rcases mem_map.1 h₁ with ⟨b₁, mb₁, rfl⟩,
rcases mem_map.1 h₂ with ⟨b₂, mb₂, ⟨⟩⟩,
exact n rfl
end⟩
theorem nodup_filter_map {f : α → option β} {l : list α}
(H : ∀ (a a' : α) (b : β), b ∈ f a → b ∈ f a' → a = a') :
nodup l → nodup (filter_map f l) :=
pairwise_filter_map_of_pairwise f $ λ a a' n b bm b' bm' e, n $ H a a' b' (e ▸ bm) bm'
theorem nodup_concat {a : α} {l : list α} (h : a ∉ l) (h' : nodup l) : nodup (concat l a) :=
by rw concat_eq_append; exact nodup_append_of_nodup h' (nodup_singleton _) (disjoint_singleton.2 h)
theorem nodup_insert [decidable_eq α] {a : α} {l : list α} (h : nodup l) : nodup (insert a l) :=
if h' : a ∈ l then by rw [insert_of_mem h']; exact h
else by rw [insert_of_not_mem h', nodup_cons]; split; assumption
theorem nodup_union [decidable_eq α] (l₁ : list α) {l₂ : list α} (h : nodup l₂) :
nodup (l₁ ∪ l₂) :=
begin
induction l₁ with a l₁ ih generalizing l₂,
{ exact h },
apply nodup_insert,
exact ih h
end
theorem nodup_inter_of_nodup [decidable_eq α] {l₁ : list α} (l₂) : nodup l₁ → nodup (l₁ ∩ l₂) :=
nodup_filter _
@[simp] theorem nodup_sublists {l : list α} : nodup (sublists l) ↔ nodup l :=
⟨λ h, nodup_of_nodup_map _ (nodup_of_sublist (map_ret_sublist_sublists _) h),
λ h, (pairwise_sublists h).imp (λ _ _ h, mt reverse_inj.2 h.to_ne)⟩
@[simp] theorem nodup_sublists' {l : list α} : nodup (sublists' l) ↔ nodup l :=
by rw [sublists'_eq_sublists, nodup_map_iff reverse_injective,
nodup_sublists, nodup_reverse]
end nodup
/- erase duplicates function -/
section erase_dup
variable [decidable_eq α]
/-- `erase_dup l` removes duplicates from `l` (taking only the first occurrence).
erase_dup [1, 2, 2, 0, 1] = [1, 2, 0] -/
def erase_dup : list α → list α := pw_filter (≠)
@[simp] theorem erase_dup_nil : erase_dup [] = ([] : list α) := rfl
theorem erase_dup_cons_of_mem' {a : α} {l : list α} (h : a ∈ erase_dup l) :
erase_dup (a::l) = erase_dup l :=
pw_filter_cons_of_neg $ by simpa only [forall_mem_ne] using h
theorem erase_dup_cons_of_not_mem' {a : α} {l : list α} (h : a ∉ erase_dup l) :
erase_dup (a::l) = a :: erase_dup l :=
pw_filter_cons_of_pos $ by simpa only [forall_mem_ne] using h
@[simp] theorem mem_erase_dup {a : α} {l : list α} : a ∈ erase_dup l ↔ a ∈ l :=
by simpa only [erase_dup, forall_mem_ne, not_not] using not_congr (@forall_mem_pw_filter α (≠) _
(λ x y z xz, not_and_distrib.1 $ mt (and.rec eq.trans) xz) a l)
@[simp] theorem erase_dup_cons_of_mem {a : α} {l : list α} (h : a ∈ l) :
erase_dup (a::l) = erase_dup l :=
erase_dup_cons_of_mem' $ mem_erase_dup.2 h
@[simp] theorem erase_dup_cons_of_not_mem {a : α} {l : list α} (h : a ∉ l) :
erase_dup (a::l) = a :: erase_dup l :=
erase_dup_cons_of_not_mem' $ mt mem_erase_dup.1 h
theorem erase_dup_sublist : ∀ (l : list α), erase_dup l <+ l := pw_filter_sublist
theorem erase_dup_subset : ∀ (l : list α), erase_dup l ⊆ l := pw_filter_subset
theorem subset_erase_dup (l : list α) : l ⊆ erase_dup l :=
λ a, mem_erase_dup.2
theorem nodup_erase_dup : ∀ l : list α, nodup (erase_dup l) := pairwise_pw_filter
theorem erase_dup_eq_self {l : list α} : erase_dup l = l ↔ nodup l := pw_filter_eq_self
@[simp] theorem erase_dup_idempotent {l : list α} : erase_dup (erase_dup l) = erase_dup l :=
pw_filter_idempotent
theorem erase_dup_append (l₁ l₂ : list α) : erase_dup (l₁ ++ l₂) = l₁ ∪ erase_dup l₂ :=
begin
induction l₁ with a l₁ IH, {refl}, rw [cons_union, ← IH],
show erase_dup (a :: (l₁ ++ l₂)) = insert a (erase_dup (l₁ ++ l₂)),
by_cases a ∈ erase_dup (l₁ ++ l₂);
[ rw [erase_dup_cons_of_mem' h, insert_of_mem h],
rw [erase_dup_cons_of_not_mem' h, insert_of_not_mem h]]
end
end erase_dup
/- iota and range -/
/-- `range' s n` is the list of numbers `[s, s+1, ..., s+n-1]`.
It is intended mainly for proving properties of `range` and `iota`. -/
@[simp] def range' : ℕ → ℕ → list ℕ
| s 0 := []
| s (n+1) := s :: range' (s+1) n
@[simp] theorem length_range' : ∀ (s n : ℕ), length (range' s n) = n
| s 0 := rfl
| s (n+1) := congr_arg succ (length_range' _ _)
@[simp] theorem mem_range' {m : ℕ} : ∀ {s n : ℕ}, m ∈ range' s n ↔ s ≤ m ∧ m < s + n
| s 0 := (false_iff _).2 $ λ ⟨H1, H2⟩, not_le_of_lt H2 H1
| s (succ n) :=
have m = s → m < s + n + 1,
from λ e, e ▸ lt_succ_of_le (le_add_right _ _),
have l : m = s ∨ s + 1 ≤ m ↔ s ≤ m,
by simpa only [eq_comm] using (@le_iff_eq_or_lt _ _ s m).symm,
(mem_cons_iff _ _ _).trans $ by simp only [mem_range',
or_and_distrib_left, or_iff_right_of_imp this, l, add_right_comm]; refl
theorem map_add_range' (a) : ∀ s n : ℕ, map ((+) a) (range' s n) = range' (a + s) n
| s 0 := rfl
| s (n+1) := congr_arg (cons _) (map_add_range' (s+1) n)
theorem chain_succ_range' : ∀ s n : ℕ, chain (λ a b, b = succ a) s (range' (s+1) n)
| s 0 := chain.nil _ _
| s (n+1) := (chain_succ_range' (s+1) n).cons rfl
theorem chain_lt_range' (s n : ℕ) : chain (<) s (range' (s+1) n) :=
(chain_succ_range' s n).imp (λ a b e, e.symm ▸ lt_succ_self _)
theorem pairwise_lt_range' : ∀ s n : ℕ, pairwise (<) (range' s n)
| s 0 := pairwise.nil _
| s (n+1) := (chain_iff_pairwise (by exact λ a b c, lt_trans)).1 (chain_lt_range' s n)
theorem nodup_range' (s n : ℕ) : nodup (range' s n) :=
(pairwise_lt_range' s n).imp (λ a b, ne_of_lt)
theorem range'_append : ∀ s m n : ℕ, range' s m ++ range' (s+m) n = range' s (n+m)
| s 0 n := rfl
| s (m+1) n := show s :: (range' (s+1) m ++ range' (s+m+1) n) = s :: range' (s+1) (n+m),
by rw [add_right_comm, range'_append]
theorem range'_sublist_right {s m n : ℕ} : range' s m <+ range' s n ↔ m ≤ n :=
⟨λ h, by simpa only [length_range'] using length_le_of_sublist h,
λ h, by rw [← nat.sub_add_cancel h, ← range'_append]; apply sublist_append_left⟩
theorem range'_subset_right {s m n : ℕ} : range' s m ⊆ range' s n ↔ m ≤ n :=
⟨λ h, le_of_not_lt $ λ hn, lt_irrefl (s+n) $
(mem_range'.1 $ h $ mem_range'.2 ⟨le_add_right _ _, nat.add_lt_add_left hn s⟩).2,
λ h, subset_of_sublist (range'_sublist_right.2 h)⟩
theorem nth_range' : ∀ s {m n : ℕ}, m < n → nth (range' s n) m = some (s + m)
| s 0 (n+1) _ := rfl
| s (m+1) (n+1) h := (nth_range' (s+1) (lt_of_add_lt_add_right h)).trans $ by rw add_right_comm; refl
theorem range'_concat (s n : ℕ) : range' s (n + 1) = range' s n ++ [s+n] :=
by rw add_comm n 1; exact (range'_append s n 1).symm
theorem range_core_range' : ∀ s n : ℕ, range_core s (range' s n) = range' 0 (n + s)
| 0 n := rfl
| (s+1) n := by rw [show n+(s+1) = n+1+s, from add_right_comm n s 1]; exact range_core_range' s (n+1)
theorem range_eq_range' (n : ℕ) : range n = range' 0 n :=
(range_core_range' n 0).trans $ by rw zero_add
theorem range_succ_eq_map (n : ℕ) : range (n + 1) = 0 :: map succ (range n) :=
by rw [range_eq_range', range_eq_range', range',
add_comm, ← map_add_range'];
congr; exact funext one_add
theorem range'_eq_map_range (s n : ℕ) : range' s n = map ((+) s) (range n) :=
by rw [range_eq_range', map_add_range']; refl
@[simp] theorem length_range (n : ℕ) : length (range n) = n :=
by simp only [range_eq_range', length_range']
theorem pairwise_lt_range (n : ℕ) : pairwise (<) (range n) :=
by simp only [range_eq_range', pairwise_lt_range']
theorem nodup_range (n : ℕ) : nodup (range n) :=
by simp only [range_eq_range', nodup_range']
theorem range_sublist {m n : ℕ} : range m <+ range n ↔ m ≤ n :=
by simp only [range_eq_range', range'_sublist_right]
theorem range_subset {m n : ℕ} : range m ⊆ range n ↔ m ≤ n :=
by simp only [range_eq_range', range'_subset_right]
@[simp] theorem mem_range {m n : ℕ} : m ∈ range n ↔ m < n :=
by simp only [range_eq_range', mem_range', nat.zero_le, true_and, zero_add]
@[simp] theorem not_mem_range_self {n : ℕ} : n ∉ range n :=
mt mem_range.1 $ lt_irrefl _
theorem nth_range {m n : ℕ} (h : m < n) : nth (range n) m = some m :=
by simp only [range_eq_range', nth_range' _ h, zero_add]
theorem range_concat (n : ℕ) : range (n + 1) = range n ++ [n] :=
by simp only [range_eq_range', range'_concat, zero_add]
theorem iota_eq_reverse_range' : ∀ n : ℕ, iota n = reverse (range' 1 n)
| 0 := rfl
| (n+1) := by simp only [iota, range'_concat, iota_eq_reverse_range' n, reverse_append, add_comm]; refl
@[simp] theorem length_iota (n : ℕ) : length (iota n) = n :=
by simp only [iota_eq_reverse_range', length_reverse, length_range']
theorem pairwise_gt_iota (n : ℕ) : pairwise (>) (iota n) :=
by simp only [iota_eq_reverse_range', pairwise_reverse, pairwise_lt_range']
theorem nodup_iota (n : ℕ) : nodup (iota n) :=
by simp only [iota_eq_reverse_range', nodup_reverse, nodup_range']
theorem mem_iota {m n : ℕ} : m ∈ iota n ↔ 1 ≤ m ∧ m ≤ n :=
by simp only [iota_eq_reverse_range', mem_reverse, mem_range', add_comm, lt_succ_iff]
theorem reverse_range' : ∀ s n : ℕ,
reverse (range' s n) = map (λ i, s + n - 1 - i) (range n)
| s 0 := rfl
| s (n+1) := by rw [range'_concat, reverse_append, range_succ_eq_map];
simpa only [show s + (n + 1) - 1 = s + n, from rfl, (∘),
λ a i, show a - 1 - i = a - succ i, from pred_sub _ _,
reverse_singleton, map_cons, nat.sub_zero, cons_append,
nil_append, eq_self_iff_true, true_and, map_map]
using reverse_range' s n
@[simp] theorem enum_from_map_fst : ∀ n (l : list α),
map prod.fst (enum_from n l) = range' n l.length
| n [] := rfl
| n (a :: l) := congr_arg (cons _) (enum_from_map_fst _ _)
@[simp] theorem enum_map_fst (l : list α) :
map prod.fst (enum l) = range l.length :=
by simp only [enum, enum_from_map_fst, range_eq_range']
def reduce_option {α} : list (option α) → list α :=
list.filter_map id
def map_head {α} (f : α → α) : list α → list α
| [] := []
| (x :: xs) := f x :: xs
def map_last {α} (f : α → α) : list α → list α
| [] := []
| [x] := [f x]
| (x :: xs) := x :: map_last xs
@[simp] def last' {α} : α → list α → α
| a [] := a
| a (b::l) := last' b l
theorem last'_mem {α} : ∀ a l, @last' α a l ∈ a :: l
| a [] := or.inl rfl
| a (b::l) := or.inr (last'_mem b l)
@[simp] lemma nth_le_attach {α} (L : list α) (i) (H : i < L.attach.length) :
(L.attach.nth_le i H).1 = L.nth_le i (length_attach L ▸ H) :=
calc (L.attach.nth_le i H).1
= (L.attach.map subtype.val).nth_le i (by simpa using H) : by rw nth_le_map'
... = L.nth_le i _ : by congr; apply attach_map_val
@[simp] lemma nth_le_range {n} (i) (H : i < (range n).length) :
nth_le (range n) i H = i :=
option.some.inj $ by rw [← nth_le_nth _, nth_range (by simpa using H)]
theorem of_fn_eq_pmap {α n} {f : fin n → α} :
of_fn f = pmap (λ i hi, f ⟨i, hi⟩) (range n) (λ _, mem_range.1) :=
by rw [pmap_eq_map_attach]; from ext_le (by simp)
(λ i hi1 hi2, by simp at hi1; simp [nth_le_of_fn f ⟨i, hi1⟩])
theorem nodup_of_fn {α n} {f : fin n → α} (hf : function.injective f) :
nodup (of_fn f) :=
by rw of_fn_eq_pmap; from nodup_pmap
(λ _ _ _ _ H, fin.veq_of_eq $ hf H) (nodup_range n)
section tfae
/-- tfae: The Following (propositions) Are Equivalent -/
def tfae (l : list Prop) : Prop := ∀ x ∈ l, ∀ y ∈ l, x ↔ y
theorem tfae_nil : tfae [] := forall_mem_nil _
theorem tfae_singleton (p) : tfae [p] := by simp [tfae]
theorem tfae_cons_of_mem {a b} {l : list Prop} (h : b ∈ l) :
tfae (a::l) ↔ (a ↔ b) ∧ tfae l :=
⟨λ H, ⟨H a (by simp) b (or.inr h), λ p hp q hq, H _ (or.inr hp) _ (or.inr hq)⟩,
begin
rintro ⟨ab, H⟩ p (rfl | hp) q (rfl | hq),
{ refl },
{ exact ab.trans (H _ h _ hq) },
{ exact (ab.trans (H _ h _ hp)).symm },
{ exact H _ hp _ hq }
end⟩
theorem tfae_cons_cons {a b} {l : list Prop} : tfae (a::b::l) ↔ (a ↔ b) ∧ tfae (b::l) :=
tfae_cons_of_mem (or.inl rfl)
theorem tfae_of_forall (b : Prop) (l : list Prop) (h : ∀ a ∈ l, a ↔ b) : tfae l :=
λ a₁ h₁ a₂ h₂, (h _ h₁).trans (h _ h₂).symm
theorem tfae_of_cycle {a b} {l : list Prop} :
list.chain (→) a (b::l) → (last' b l → a) → tfae (a::b::l) :=
begin
induction l with c l IH generalizing a b; simp [tfae_cons_cons, tfae_singleton] at *,
{ exact iff.intro },
intros ab bc ch la,
have := IH bc ch (ab ∘ la),
exact ⟨⟨ab, la ∘ (this.2 c (or.inl rfl) _ (last'_mem _ _)).1 ∘ bc⟩, this⟩
end
theorem tfae.out {l} (h : tfae l) (n₁ n₂)
(h₁ : n₁ < list.length l . tactic.exact_dec_trivial)
(h₂ : n₂ < list.length l . tactic.exact_dec_trivial) :
list.nth_le l n₁ h₁ ↔ list.nth_le l n₂ h₂ :=
h _ (list.nth_le_mem _ _ _) _ (list.nth_le_mem _ _ _)
end tfae
end list
theorem option.to_list_nodup {α} : ∀ o : option α, o.to_list.nodup
| none := list.nodup_nil
| (some x) := list.nodup_singleton x
|
4bc2430aa6c4e6a69c3ae9371b51134fd425b686 | 35677d2df3f081738fa6b08138e03ee36bc33cad | /src/measure_theory/borel_space.lean | d88d96735c685c229e5e7491da53d9a81ac045c5 | [
"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 | 29,516 | lean | /-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Yury Kudryashov
-/
import measure_theory.measurable_space topology.instances.ennreal analysis.normed_space.basic
/-!
# Borel (measurable) space
## Main definitions
* `borel α` : the least `σ`-algebra that contains all open sets;
* `class borel_space` : a space with `topological_space` and `measurable_space` structures
such that `‹measurable_space α› = borel α`;
* `class opens_measurable_space` : a space with `topological_space` and `measurable_space` structures
such that all open sets are measurable; equivalently, `borel α ≤ ‹measurable_space α›`.
* `borel_space` instances on `empty`, `unit`, `bool`, `nat`, `int`, `rat`;
* `measurable` and `borel_space` instances on `ℝ`, `ℝ≥0`, `ennreal`.
## Main statements
* `is_open.is_measurable`, `is_closed.is_measurable`: open and closed sets are measurable;
* `continuous.measurable` : a continuous function is measurable;
* `continuous.measurable2` : if `f : α → β` and `g : α → γ` are measurable and `op : β × γ → δ`
is continuous, then `λ x, op (f x, g y)` is measurable;
* `measurable.add` etc : dot notation for arithmetic operations on `measurable` predicates,
and similarly for `dist` and `edist`;
* `measurable.ennreal*` : special cases for arithmetic operations on `ennreal`s.
-/
noncomputable theory
open classical set
open_locale classical
universes u v w x y
variables {α : Type u} {β : Type v} {γ : Type w} {δ : Type x} {ι : Sort y} {s t u : set α}
open measurable_space topological_space
/-- `measurable_space` structure generated by `topological_space`. -/
def borel (α : Type u) [topological_space α] : measurable_space α :=
generate_from {s : set α | is_open s}
lemma borel_eq_top_of_discrete [topological_space α] [discrete_topology α] :
borel α = ⊤ :=
top_le_iff.1 $ λ s hs, generate_measurable.basic s (is_open_discrete s)
lemma borel_eq_top_of_encodable [topological_space α] [t1_space α] [encodable α] :
borel α = ⊤ :=
begin
refine (top_le_iff.1 $ λ s hs, bUnion_of_singleton s ▸ _),
apply is_measurable.bUnion s.countable_encodable,
intros x hx,
apply is_measurable.of_compl,
apply generate_measurable.basic,
exact is_closed_singleton
end
lemma borel_eq_generate_from_of_subbasis {s : set (set α)}
[t : topological_space α] [second_countable_topology α] (hs : t = generate_from s) :
borel α = generate_from s :=
le_antisymm
(generate_from_le $ assume u (hu : t.is_open u),
begin
rw [hs] at hu,
induction hu,
case generate_open.basic : u hu
{ exact generate_measurable.basic u hu },
case generate_open.univ
{ exact @is_measurable.univ α (generate_from s) },
case generate_open.inter : s₁ s₂ _ _ hs₁ hs₂
{ exact @is_measurable.inter α (generate_from s) _ _ hs₁ hs₂ },
case generate_open.sUnion : f hf ih {
rcases is_open_sUnion_countable f (by rwa hs) with ⟨v, hv, vf, vu⟩,
rw ← vu,
exact @is_measurable.sUnion α (generate_from s) _ hv
(λ x xv, ih _ (vf xv)) }
end)
(generate_from_le $ assume u hu, generate_measurable.basic _ $
show t.is_open u, by rw [hs]; exact generate_open.basic _ hu)
lemma borel_eq_generate_Iio (α)
[topological_space α] [second_countable_topology α]
[linear_order α] [order_topology α] :
borel α = generate_from (range Iio) :=
begin
refine le_antisymm _ (generate_from_le _),
{ rw borel_eq_generate_from_of_subbasis (@order_topology.topology_eq_generate_intervals α _ _ _),
have H : ∀ a:α, is_measurable (measurable_space.generate_from (range Iio)) (Iio a) :=
λ a, generate_measurable.basic _ ⟨_, rfl⟩,
refine generate_from_le _, rintro _ ⟨a, rfl | rfl⟩; [skip, apply H],
by_cases h : ∃ a', ∀ b, a < b ↔ a' ≤ b,
{ rcases h with ⟨a', ha'⟩,
rw (_ : Ioi a = -Iio a'), {exact (H _).compl _},
simp [set.ext_iff, ha'] },
{ rcases is_open_Union_countable
(λ a' : {a' : α // a < a'}, {b | a'.1 < b})
(λ a', is_open_lt' _) with ⟨v, ⟨hv⟩, vu⟩,
simp [set.ext_iff] at vu,
have : Ioi a = ⋃ x : v, -Iio x.1.1,
{ simp [set.ext_iff],
refine λ x, ⟨λ ax, _, λ ⟨a', ⟨h, av⟩, ax⟩, lt_of_lt_of_le h ax⟩,
rcases (vu x).2 _ with ⟨a', h₁, h₂⟩,
{ exact ⟨a', h₁, le_of_lt h₂⟩ },
refine not_imp_comm.1 (λ h, _) h,
exact ⟨x, λ b, ⟨λ ab, le_of_not_lt (λ h', h ⟨b, ab, h'⟩),
lt_of_lt_of_le ax⟩⟩ },
rw this, resetI,
apply is_measurable.Union,
exact λ _, (H _).compl _ } },
{ simp, rintro _ a rfl,
exact generate_measurable.basic _ is_open_Iio }
end
lemma borel_eq_generate_Ioi (α)
[topological_space α] [second_countable_topology α]
[linear_order α] [order_topology α] :
borel α = generate_from (range Ioi) :=
begin
refine le_antisymm _ (generate_from_le _),
{ rw borel_eq_generate_from_of_subbasis (@order_topology.topology_eq_generate_intervals α _ _ _),
have H : ∀ a:α, is_measurable (measurable_space.generate_from (range (λ a, {x | a < x}))) {x | a < x} :=
λ a, generate_measurable.basic _ ⟨_, rfl⟩,
refine generate_from_le _, rintro _ ⟨a, rfl | rfl⟩, {apply H},
by_cases h : ∃ a', ∀ b, b < a ↔ b ≤ a',
{ rcases h with ⟨a', ha'⟩,
rw (_ : Iio a = -Ioi a'), {exact (H _).compl _},
simp [set.ext_iff, ha'] },
{ rcases is_open_Union_countable
(λ a' : {a' : α // a' < a}, {b | b < a'.1})
(λ a', is_open_gt' _) with ⟨v, ⟨hv⟩, vu⟩,
simp [set.ext_iff] at vu,
have : Iio a = ⋃ x : v, -Ioi x.1.1,
{ simp [set.ext_iff],
refine λ x, ⟨λ ax, _, λ ⟨a', ⟨h, av⟩, ax⟩, lt_of_le_of_lt ax h⟩,
rcases (vu x).2 _ with ⟨a', h₁, h₂⟩,
{ exact ⟨a', h₁, le_of_lt h₂⟩ },
refine not_imp_comm.1 (λ h, _) h,
exact ⟨x, λ b, ⟨λ ab, le_of_not_lt (λ h', h ⟨b, ab, h'⟩),
λ h, lt_of_le_of_lt h ax⟩⟩ },
rw this, resetI,
apply is_measurable.Union,
exact λ _, (H _).compl _ } },
{ simp, rintro _ a rfl,
exact generate_measurable.basic _ (is_open_lt' _) }
end
lemma borel_comap {f : α → β} {t : topological_space β} :
@borel α (t.induced f) = (@borel β t).comap f :=
comap_generate_from.symm
lemma continuous.borel_measurable [topological_space α] [topological_space β]
{f : α → β} (hf : continuous f) :
@measurable α β (borel α) (borel β) f :=
generate_from_le $ λ s hs, generate_measurable.basic (f ⁻¹' s) (hf s hs)
/-- A space with `measurable_space` and `topological_space` structures such that
all open sets are measurable. -/
class opens_measurable_space (α : Type*) [topological_space α] [h : measurable_space α] : Prop :=
(borel_le : borel α ≤ h)
/-- A space with `measurable_space` and `topological_space` structures such that
the `σ`-algebra of measurable sets is exactly the `σ`-algebra generated by open sets. -/
class borel_space (α : Type*) [topological_space α] [measurable_space α] : Prop :=
(measurable_eq : ‹measurable_space α› = borel α)
/-- In a `borel_space` all open sets are measurable. -/
@[priority 100]
instance borel_space.opens_measurable {α : Type*} [topological_space α] [measurable_space α]
[borel_space α] : opens_measurable_space α :=
⟨ge_of_eq $ borel_space.measurable_eq⟩
instance subtype.borel_space {α : Type*} [topological_space α] [measurable_space α]
[hα : borel_space α] (s : set α) :
borel_space s :=
⟨by { rw [hα.1, subtype.measurable_space, ← borel_comap], refl }⟩
instance subtype.opens_measurable_space {α : Type*} [topological_space α] [measurable_space α]
[h : opens_measurable_space α] (s : set α) :
opens_measurable_space s :=
⟨by { rw [borel_comap], exact comap_mono h.1 }⟩
section
variables [topological_space α] [measurable_space α] [opens_measurable_space α]
[topological_space β] [measurable_space β] [opens_measurable_space β]
[topological_space γ] [measurable_space γ] [borel_space γ]
[measurable_space δ]
lemma is_open.is_measurable (h : is_open s) : is_measurable s :=
opens_measurable_space.borel_le _ $ generate_measurable.basic _ h
lemma is_measurable_interior : is_measurable (interior s) := is_open_interior.is_measurable
lemma is_closed.is_measurable (h : is_closed s) : is_measurable s :=
is_measurable.compl_iff.1 $ h.is_measurable
lemma is_measurable_singleton [t1_space α] {x : α} : is_measurable ({x} : set α) :=
is_closed_singleton.is_measurable
-- TODO (Lean 3.8): this will become `= is_measurable_singleton`
lemma is_measurable_eq [t1_space α] {a : α} : is_measurable {x | x = a} :=
by { convert is_measurable_singleton; try { apply_instance }, ext x, exact mem_singleton_iff.symm }
lemma is_measurable_closure : is_measurable (closure s) :=
is_closed_closure.is_measurable
section order_closed_topology
variables [preorder α] [order_closed_topology α] {a b : α}
lemma is_measurable_Ici : is_measurable (Ici a) := is_closed_Ici.is_measurable
lemma is_measurable_Iic : is_measurable (Iic a) := is_closed_Iic.is_measurable
lemma is_measurable_Icc : is_measurable (Icc a b) := is_closed_Icc.is_measurable
end order_closed_topology
section order_closed_topology
variables [linear_order α] [order_closed_topology α] {a b : α}
lemma is_measurable_Iio : is_measurable (Iio a) := is_open_Iio.is_measurable
lemma is_measurable_Ioi : is_measurable (Ioi a) := is_open_Ioi.is_measurable
lemma is_measurable_Ioo : is_measurable (Ioo a b) := is_open_Ioo.is_measurable
lemma is_measurable_Ioc : is_measurable (Ioc a b) := is_measurable_Ioi.inter is_measurable_Iic
lemma is_measurable_Ico : is_measurable (Ico a b) := is_measurable_Ici.inter is_measurable_Iio
end order_closed_topology
lemma is_measurable_interval [decidable_linear_order α] [order_closed_topology α] {a b : α} :
is_measurable (interval a b) :=
is_measurable_Icc
instance prod.opens_measurable_space [second_countable_topology α] [second_countable_topology β] :
opens_measurable_space (α × β) :=
begin
refine ⟨_⟩,
rcases is_open_generated_countable_inter α with ⟨a, ha₁, ha₂, ha₃, ha₄, ha₅⟩,
rcases is_open_generated_countable_inter β with ⟨b, hb₁, hb₂, hb₃, hb₄, hb₅⟩,
have : prod.topological_space = generate_from {g | ∃u∈a, ∃v∈b, g = set.prod u v},
{ rw [ha₅, hb₅], exact prod_generate_from_generate_from_eq ha₄ hb₄ },
rw [borel_eq_generate_from_of_subbasis this],
apply generate_from_le,
rintros _ ⟨u, hu, v, hv, rfl⟩,
have hu : is_open u, by { rw [ha₅], exact generate_open.basic _ hu },
have hv : is_open v, by { rw [hb₅], exact generate_open.basic _ hv },
exact hu.is_measurable.prod hv.is_measurable
end
/-- A continuous function from an `opens_measurable_space` to a `borel_space`
is measurable. -/
lemma continuous.measurable {f : α → γ} (hf : continuous f) :
measurable f :=
hf.borel_measurable.mono opens_measurable_space.borel_le
(le_of_eq $ borel_space.measurable_eq)
/-- A homeomorphism between two Borel spaces is a measurable equivalence.-/
def homeomorph.to_measurable_equiv {α : Type*} {β : Type*} [topological_space α]
[measurable_space α] [borel_space α] [topological_space β] [measurable_space β]
[borel_space β] (h : α ≃ₜ β) :
measurable_equiv α β :=
{ measurable_to_fun := h.continuous_to_fun.measurable,
measurable_inv_fun := h.continuous_inv_fun.measurable,
.. h }
lemma measurable_of_continuous_on_compl_singleton [t1_space α] {f : α → γ} (a : α)
(hf : continuous_on f {x | x ≠ a}) :
measurable f :=
measurable_of_measurable_on_compl_singleton a is_measurable_singleton
(continuous_on_iff_continuous_restrict.1 hf).measurable
lemma continuous.measurable2 [second_countable_topology α] [second_countable_topology β]
{f : δ → α} {g : δ → β} {c : α → β → γ}
(h : continuous (λp:α×β, c p.1 p.2)) (hf : measurable f) (hg : measurable g) :
measurable (λa, c (f a) (g a)) :=
h.measurable.comp (hf.prod_mk hg)
lemma measurable.smul [semiring α] [second_countable_topology α]
[add_comm_monoid γ] [second_countable_topology γ]
[semimodule α γ] [topological_semimodule α γ]
{f : δ → α} {g : δ → γ} (hf : measurable f) (hg : measurable g) :
measurable (λ c, f c • g c) :=
continuous_smul.measurable2 hf hg
lemma measurable.const_smul {α : Type*} [topological_space α] [semiring α]
[add_comm_monoid γ] [semimodule α γ] [topological_semimodule α γ]
{f : δ → γ} (hf : measurable f) (c : α) :
measurable (λ x, c • f x) :=
(continuous_const.smul continuous_id).measurable.comp hf
lemma measurable_const_smul_iff {α : Type*} [topological_space α]
[division_ring α] [add_comm_monoid γ]
[semimodule α γ] [topological_semimodule α γ]
{f : δ → γ} {c : α} (hc : c ≠ 0) :
measurable (λ x, c • f x) ↔ measurable f :=
⟨λ h, by simpa only [smul_smul, inv_mul_cancel hc, one_smul] using h.const_smul c⁻¹,
λ h, h.const_smul c⟩
lemma is_measurable_le' [partial_order α] [order_closed_topology α] [second_countable_topology α] :
is_measurable {p : α × α | p.1 ≤ p.2} :=
order_closed_topology.is_closed_le'.is_measurable
lemma is_measurable_le [partial_order α] [order_closed_topology α] [second_countable_topology α]
{f g : δ → α} (hf : measurable f) (hg : measurable g) :
is_measurable {a | f a ≤ g a} :=
(hf.prod_mk hg).preimage is_measurable_le'
lemma measurable.max [decidable_linear_order α] [order_closed_topology α] [second_countable_topology α]
{f g : δ → α} (hf : measurable f) (hg : measurable g) :
measurable (λa, max (f a) (g a)) :=
measurable.if (is_measurable_le hf hg) hg hf
lemma measurable.min [decidable_linear_order α] [order_closed_topology α] [second_countable_topology α]
{f g : δ → α} (hf : measurable f) (hg : measurable g) :
measurable (λa, min (f a) (g a)) :=
measurable.if (is_measurable_le hf hg) hf hg
end
section borel_space
variables [topological_space α] [measurable_space α] [borel_space α]
[topological_space β] [measurable_space β] [borel_space β]
[topological_space γ] [measurable_space γ] [borel_space γ]
[measurable_space δ]
lemma prod_le_borel_prod : prod.measurable_space ≤ borel (α × β) :=
begin
rw [‹borel_space α›.measurable_eq, ‹borel_space β›.measurable_eq],
refine sup_le _ _,
{ exact comap_le_iff_le_map.mpr continuous_fst.borel_measurable },
{ exact comap_le_iff_le_map.mpr continuous_snd.borel_measurable }
end
instance prod.borel_space [second_countable_topology α] [second_countable_topology β] :
borel_space (α × β) :=
⟨le_antisymm prod_le_borel_prod opens_measurable_space.borel_le⟩
@[to_additive]
lemma measurable_mul [monoid α] [topological_monoid α] [second_countable_topology α] :
measurable (λ p : α × α, p.1 * p.2) :=
continuous_mul.measurable
@[to_additive]
lemma measurable.mul [monoid α] [topological_monoid α] [second_countable_topology α]
{f : δ → α} {g : δ → α} : measurable f → measurable g → measurable (λa, f a * g a) :=
continuous_mul.measurable2
@[to_additive]
lemma finset.measurable_prod {ι : Type*} [comm_monoid α] [topological_monoid α]
[second_countable_topology α] {f : ι → δ → α} (s : finset ι) (hf : ∀i, measurable (f i)) :
measurable (λa, s.prod (λi, f i a)) :=
finset.induction_on s
(by simp only [finset.prod_empty, measurable_const])
(assume i s his ih, by simpa [his] using (hf i).mul ih)
@[to_additive]
lemma measurable_inv [group α] [topological_group α] : measurable (has_inv.inv : α → α) :=
continuous_inv.measurable
@[to_additive]
lemma measurable.inv [group α] [topological_group α] {f : δ → α} (hf : measurable f) :
measurable (λa, (f a)⁻¹) :=
measurable_inv.comp hf
lemma measurable_inv' {α : Type*} [normed_field α] [measurable_space α] [borel_space α] :
measurable (has_inv.inv : α → α) :=
measurable_of_continuous_on_compl_singleton 0 normed_field.continuous_on_inv
lemma measurable.inv' {α : Type*} [normed_field α] [measurable_space α] [borel_space α]
{f : δ → α} (hf : measurable f) :
measurable (λa, (f a)⁻¹) :=
measurable_inv'.comp hf
@[to_additive]
lemma measurable.of_inv [group α] [topological_group α] {f : δ → α}
(hf : measurable (λ a, (f a)⁻¹)) : measurable f :=
by simpa only [inv_inv] using hf.inv
@[to_additive]
lemma measurable_inv_iff [group α] [topological_group α] {f : δ → α} :
measurable (λ a, (f a)⁻¹) ↔ measurable f :=
⟨measurable.of_inv, measurable.inv⟩
lemma measurable.sub [add_group α] [topological_add_group α] [second_countable_topology α]
{f g : δ → α} (hf : measurable f) (hg : measurable g) :
measurable (λ x, f x - g x) :=
hf.add hg.neg
lemma measurable.is_lub [linear_order α] [order_topology α] [second_countable_topology α]
{ι} [encodable ι] {f : ι → δ → α} {g : δ → α} (hf : ∀ i, measurable (f i))
(hg : ∀ b, is_lub {a | ∃ i, f i b = a} (g b)) :
measurable g :=
begin
change ∀ b, is_lub (range $ λ i, f i b) (g b) at hg,
rw [‹borel_space α›.measurable_eq, borel_eq_generate_Ioi α],
apply measurable_generate_from,
rintro _ ⟨a, rfl⟩,
simp only [set.preimage, mem_Ioi, lt_is_lub_iff (hg _), exists_range_iff, set_of_exists],
exact is_measurable.Union (λ i, hf i _ (is_open_lt' _).is_measurable)
end
lemma measurable.is_glb [linear_order α] [order_topology α] [second_countable_topology α]
{ι} [encodable ι] {f : ι → δ → α} {g : δ → α} (hf : ∀ i, measurable (f i))
(hg : ∀ b, is_glb {a | ∃ i, f i b = a} (g b)) :
measurable g :=
begin
change ∀ b, is_glb (range $ λ i, f i b) (g b) at hg,
rw [‹borel_space α›.measurable_eq, borel_eq_generate_Iio α],
apply measurable_generate_from,
rintro _ ⟨a, rfl⟩,
simp only [set.preimage, mem_Iio, is_glb_lt_iff (hg _), exists_range_iff, set_of_exists],
exact is_measurable.Union (λ i, hf i _ (is_open_gt' _).is_measurable)
end
lemma measurable_supr [complete_linear_order α] [order_topology α] [second_countable_topology α]
{ι} [encodable ι] {f : ι → δ → α} (hf : ∀ i, measurable (f i)) :
measurable (λ b, ⨆ i, f i b) :=
measurable.is_lub hf $ λ b, is_lub_supr
lemma measurable_infi [complete_linear_order α] [order_topology α] [second_countable_topology α]
{ι} [encodable ι] {f : ι → δ → α} (hf : ∀ i, measurable (f i)) :
measurable (λ b, ⨅ i, f i b) :=
measurable.is_glb hf $ λ b, is_glb_infi
lemma measurable.supr_Prop {α} [measurable_space α] [complete_lattice α]
(p : Prop) {f : δ → α} (hf : measurable f) :
measurable (λ b, ⨆ h : p, f b) :=
classical.by_cases
(assume h : p, begin convert hf, funext, exact supr_pos h end)
(assume h : ¬p, begin convert measurable_const, funext, exact supr_neg h end)
lemma measurable.infi_Prop {α} [measurable_space α] [complete_lattice α]
(p : Prop) {f : δ → α} (hf : measurable f) :
measurable (λ b, ⨅ h : p, f b) :=
classical.by_cases
(assume h : p, begin convert hf, funext, exact infi_pos h end )
(assume h : ¬p, begin convert measurable_const, funext, exact infi_neg h end)
lemma measurable_bsupr [complete_linear_order α] [order_topology α] [second_countable_topology α]
{ι} [encodable ι] (p : ι → Prop) {f : ι → δ → α} (hf : ∀ i, measurable (f i)) :
measurable (λ b, ⨆ i (hi : p i), f i b) :=
measurable_supr $ λ i, (hf i).supr_Prop (p i)
lemma measurable_binfi [complete_linear_order α] [order_topology α] [second_countable_topology α]
{ι} [encodable ι] (p : ι → Prop) {f : ι → δ → α} (hf : ∀ i, measurable (f i)) :
measurable (λ b, ⨅ i (hi : p i), f i b) :=
measurable_infi $ λ i, (hf i).infi_Prop (p i)
/-- Convert a `homeomorph` to a `measurable_equiv`. -/
def homemorph.to_measurable_equiv (h : α ≃ₜ β) :
measurable_equiv α β :=
{ to_equiv := h.to_equiv,
measurable_to_fun := h.continuous_to_fun.measurable,
measurable_inv_fun := h.continuous_inv_fun.measurable }
end borel_space
instance empty.borel_space : borel_space empty := ⟨borel_eq_top_of_discrete.symm⟩
instance unit.borel_space : borel_space unit := ⟨borel_eq_top_of_discrete.symm⟩
instance bool.borel_space : borel_space bool := ⟨borel_eq_top_of_discrete.symm⟩
instance nat.borel_space : borel_space ℕ := ⟨borel_eq_top_of_discrete.symm⟩
instance int.borel_space : borel_space ℤ := ⟨borel_eq_top_of_discrete.symm⟩
instance rat.borel_space : borel_space ℚ := ⟨borel_eq_top_of_encodable.symm⟩
instance real.measurable_space : measurable_space ℝ := borel ℝ
instance real.borel_space : borel_space ℝ := ⟨rfl⟩
instance nnreal.measurable_space : measurable_space nnreal := borel nnreal
instance nnreal.borel_space : borel_space nnreal := ⟨rfl⟩
instance ennreal.measurable_space : measurable_space ennreal := borel ennreal
instance ennreal.borel_space : borel_space ennreal := ⟨rfl⟩
section metric_space
variables [metric_space α] [measurable_space α] [opens_measurable_space α] {x : α} {ε : ℝ}
lemma is_measurable_ball : is_measurable (metric.ball x ε) :=
metric.is_open_ball.is_measurable
lemma is_measurable_closed_ball : is_measurable (metric.closed_ball x ε) :=
metric.is_closed_ball.is_measurable
lemma measurable_dist [second_countable_topology α] :
measurable (λp:α×α, dist p.1 p.2) :=
continuous_dist.measurable
lemma measurable.dist [second_countable_topology α] [measurable_space β] {f g : β → α}
(hf : measurable f) (hg : measurable g) : measurable (λ b, dist (f b) (g b)) :=
continuous_dist.measurable2 hf hg
lemma measurable_nndist [second_countable_topology α] : measurable (λp:α×α, nndist p.1 p.2) :=
continuous_nndist.measurable
lemma measurable.nndist [second_countable_topology α] [measurable_space β] {f g : β → α} :
measurable f → measurable g → measurable (λ b, nndist (f b) (g b)) :=
continuous_nndist.measurable2
end metric_space
section emetric_space
variables [emetric_space α] [measurable_space α] [opens_measurable_space α] {x : α} {ε : ennreal}
lemma is_measurable_eball : is_measurable (emetric.ball x ε) :=
emetric.is_open_ball.is_measurable
lemma measurable_edist [second_countable_topology α] :
measurable (λp:α×α, edist p.1 p.2) :=
continuous_edist.measurable
lemma measurable.edist [second_countable_topology α] [measurable_space β] {f g : β → α} :
measurable f → measurable g → measurable (λ b, edist (f b) (g b)) :=
continuous_edist.measurable2
end emetric_space
namespace real
open measurable_space
lemma borel_eq_generate_from_Ioo_rat :
borel ℝ = generate_from (⋃(a b : ℚ) (h : a < b), {Ioo a b}) :=
borel_eq_generate_from_of_subbasis is_topological_basis_Ioo_rat.2.2
lemma borel_eq_generate_from_Iio_rat :
borel ℝ = generate_from (⋃a:ℚ, {Iio a}) :=
begin
let g, swap,
apply le_antisymm (_ : _ ≤ g) (measurable_space.generate_from_le (λ t, _)),
{ rw borel_eq_generate_from_Ioo_rat,
refine generate_from_le (λ t, _),
simp only [mem_Union], rintro ⟨a, b, h, rfl|⟨⟨⟩⟩⟩,
rw (set.ext (λ x, _) : Ioo (a:ℝ) b = (⋃c>a, - Iio c) ∩ Iio b),
{ have hg : ∀q:ℚ, g.is_measurable (Iio q) :=
λ q, generate_measurable.basic _ (by simp; exact ⟨_, rfl⟩),
refine @is_measurable.inter _ g _ _ _ (hg _),
refine @is_measurable.bUnion _ _ g _ _ (countable_encodable _) (λ c h, _),
exact @is_measurable.compl _ _ g (hg _) },
{ simp [Ioo, Iio],
refine and_congr _ iff.rfl,
exact ⟨λ h,
let ⟨c, ac, cx⟩ := exists_rat_btwn h in
⟨c, rat.cast_lt.1 ac, le_of_lt cx⟩,
λ ⟨c, ac, cx⟩, lt_of_lt_of_le (rat.cast_lt.2 ac) cx⟩ } },
{ simp, rintro r rfl,
exact is_open_Iio.is_measurable }
end
end real
lemma measurable.sub_nnreal [measurable_space α] {f g : α → nnreal} :
measurable f → measurable g → measurable (λ a, f a - g a) :=
nnreal.continuous_sub.measurable2
lemma measurable.nnreal_of_real [measurable_space α] {f : α → ℝ} (hf : measurable f) :
measurable (λ x, nnreal.of_real (f x)) :=
nnreal.continuous_of_real.measurable.comp hf
lemma measurable.nnreal_coe [measurable_space α] {f : α → nnreal} (hf : measurable f) :
measurable (λ x, (f x : ℝ)) :=
nnreal.continuous_coe.measurable.comp hf
lemma measurable.ennreal_coe [measurable_space α] {f : α → nnreal} (hf : measurable f) :
measurable (λ x, (f x : ennreal)) :=
(ennreal.continuous_coe.2 continuous_id).measurable.comp hf
lemma measurable.ennreal_of_real [measurable_space α] {f : α → ℝ} (hf : measurable f) :
measurable (λ x, ennreal.of_real (f x)) :=
ennreal.continuous_of_real.measurable.comp hf
/-- The set of finite `ennreal` numbers is `measurable_equiv` to `nnreal`. -/
def measurable_equiv.ennreal_equiv_nnreal : measurable_equiv {r : ennreal | r ≠ ⊤} nnreal :=
ennreal.ne_top_homeomorph_nnreal.to_measurable_equiv
namespace ennreal
open filter
lemma measurable_coe : measurable (coe : nnreal → ennreal) :=
measurable_id.ennreal_coe
lemma measurable_of_measurable_nnreal [measurable_space α] {f : ennreal → α}
(h : measurable (λp:nnreal, f p)) : measurable f :=
measurable_of_measurable_on_compl_singleton ⊤ is_measurable_singleton
(measurable_equiv.ennreal_equiv_nnreal.symm.measurable_coe_iff.1 h)
/-- `ennreal` is `measurable_equiv` to `nnreal ⊕ unit`. -/
def ennreal_equiv_sum :
measurable_equiv ennreal (nnreal ⊕ unit) :=
{ measurable_to_fun := measurable_of_measurable_nnreal measurable_inl,
measurable_inv_fun := measurable_sum measurable_coe (@measurable_const ennreal unit _ _ ⊤),
.. equiv.option_equiv_sum_punit nnreal }
lemma measurable_of_measurable_nnreal_nnreal [measurable_space α] [measurable_space β]
(f : ennreal → ennreal → β) {g : α → ennreal} {h : α → ennreal}
(h₁ : measurable (λp:nnreal × nnreal, f p.1 p.2))
(h₂ : measurable (λr:nnreal, f ⊤ r))
(h₃ : measurable (λr:nnreal, f r ⊤))
(hg : measurable g) (hh : measurable h) : measurable (λa, f (g a) (h a)) :=
let e : measurable_equiv (ennreal × ennreal)
(((nnreal × nnreal) ⊕ (nnreal × unit)) ⊕ ((unit × nnreal) ⊕ (unit × unit))) :=
(measurable_equiv.prod_congr ennreal_equiv_sum ennreal_equiv_sum).trans
(measurable_equiv.sum_prod_sum _ _ _ _) in
have measurable (λp:ennreal×ennreal, f p.1 p.2),
begin
refine e.symm.measurable_coe_iff.1 (measurable_sum (measurable_sum _ _) (measurable_sum _ _)),
{ show measurable (λp:nnreal × nnreal, f p.1 p.2),
exact h₁ },
{ show measurable (λp:nnreal × unit, f p.1 ⊤),
exact h₃.comp (measurable.fst measurable_id) },
{ show measurable ((λp:nnreal, f ⊤ p) ∘ (λp:unit × nnreal, p.2)),
exact h₂.comp (measurable.snd measurable_id) },
{ show measurable (λp:unit × unit, f ⊤ ⊤),
exact measurable_const }
end,
this.comp (measurable.prod_mk hg hh)
lemma measurable_of_real : measurable ennreal.of_real :=
ennreal.continuous_of_real.measurable
end ennreal
lemma measurable.ennreal_mul {α : Type*} [measurable_space α] {f g : α → ennreal} :
measurable f → measurable g → measurable (λa, f a * g a) :=
begin
refine ennreal.measurable_of_measurable_nnreal_nnreal (*) _ _ _,
{ simp only [ennreal.coe_mul.symm],
exact ennreal.measurable_coe.comp measurable_mul },
{ simp [ennreal.top_mul],
exact measurable.if
(is_closed_eq continuous_id continuous_const).is_measurable
measurable_const
measurable_const },
{ simp [ennreal.mul_top],
exact measurable.if
(is_closed_eq continuous_id continuous_const).is_measurable
measurable_const
measurable_const }
end
lemma measurable.ennreal_add {α : Type*} [measurable_space α] {f g : α → ennreal} :
measurable f → measurable g → measurable (λa, f a + g a) :=
begin
refine ennreal.measurable_of_measurable_nnreal_nnreal (+) _ _ _,
{ simp only [ennreal.coe_add.symm],
exact ennreal.measurable_coe.comp measurable_add },
{ simp [measurable_const] },
{ simp [measurable_const] }
end
lemma measurable.ennreal_sub {α : Type*} [measurable_space α] {f g : α → ennreal} :
measurable f → measurable g → measurable (λa, f a - g a) :=
begin
refine ennreal.measurable_of_measurable_nnreal_nnreal (has_sub.sub) _ _ _,
{ simp only [ennreal.coe_sub.symm],
exact ennreal.measurable_coe.comp nnreal.continuous_sub.measurable },
{ simp [measurable_const] },
{ simp [measurable_const] }
end
section normed_group
variables [measurable_space α] [normed_group α] [opens_measurable_space α] [measurable_space β]
lemma measurable_norm : measurable (norm : α → ℝ) :=
continuous_norm.measurable
lemma measurable.norm {f : β → α} (hf : measurable f) : measurable (λa, norm (f a)) :=
measurable_norm.comp hf
lemma measurable_nnnorm : measurable (nnnorm : α → nnreal) :=
continuous_nnnorm.measurable
lemma measurable.nnnorm {f : β → α} (hf : measurable f) : measurable (λa, nnnorm (f a)) :=
measurable_nnnorm.comp hf
lemma measurable.ennnorm {f : β → α} (hf : measurable f) :
measurable (λa, (nnnorm (f a) : ennreal)) :=
hf.nnnorm.ennreal_coe
end normed_group
|
eaa820f7fa577b6a03a2d3ec87ead321c4b69caf | 4efff1f47634ff19e2f786deadd394270a59ecd2 | /src/analysis/normed_space/operator_norm.lean | 146b6b126a8f0b0ea933d6582760e39b61bb081d | [
"Apache-2.0"
] | permissive | agjftucker/mathlib | d634cd0d5256b6325e3c55bb7fb2403548371707 | 87fe50de17b00af533f72a102d0adefe4a2285e8 | refs/heads/master | 1,625,378,131,941 | 1,599,166,526,000 | 1,599,166,526,000 | 160,748,509 | 0 | 0 | Apache-2.0 | 1,544,141,789,000 | 1,544,141,789,000 | null | UTF-8 | Lean | false | false | 40,013 | lean | /-
Copyright (c) 2019 Jan-David Salchow. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jan-David Salchow, Sébastien Gouëzel, Jean Lo
-/
import linear_algebra.finite_dimensional
import analysis.normed_space.riesz_lemma
import analysis.asymptotics
/-!
# Operator norm on the space of continuous linear maps
Define the operator norm on the space of continuous linear maps between normed spaces, and prove
its basic properties. In particular, show that this space is itself a normed space.
-/
noncomputable theory
open_locale classical
variables {𝕜 : Type*} {E : Type*} {F : Type*} {G : Type*}
[normed_group E] [normed_group F] [normed_group G]
open metric continuous_linear_map
lemma exists_pos_bound_of_bound {f : E → F} (M : ℝ) (h : ∀x, ∥f x∥ ≤ M * ∥x∥) :
∃ N, 0 < N ∧ ∀x, ∥f x∥ ≤ N * ∥x∥ :=
⟨max M 1, lt_of_lt_of_le zero_lt_one (le_max_right _ _), λx, calc
∥f x∥ ≤ M * ∥x∥ : h x
... ≤ max M 1 * ∥x∥ : mul_le_mul_of_nonneg_right (le_max_left _ _) (norm_nonneg _) ⟩
section normed_field
/- Most statements in this file require the field to be non-discrete, as this is necessary
to deduce an inequality `∥f x∥ ≤ C ∥x∥` from the continuity of f. However, the other direction always
holds. In this section, we just assume that `𝕜` is a normed field. In the remainder of the file,
it will be non-discrete. -/
variables [normed_field 𝕜] [normed_space 𝕜 E] [normed_space 𝕜 F] (f : E →ₗ[𝕜] F)
lemma linear_map.lipschitz_of_bound (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)
theorem linear_map.antilipschitz_of_bound {K : nnreal} (h : ∀ x, ∥x∥ ≤ K * ∥f x∥) :
antilipschitz_with K f :=
antilipschitz_with.of_le_mul_dist $
λ x y, by simpa only [dist_eq_norm, f.map_sub] using h (x - y)
lemma linear_map.uniform_continuous_of_bound (C : ℝ) (h : ∀x, ∥f x∥ ≤ C * ∥x∥) :
uniform_continuous f :=
(f.lipschitz_of_bound C h).uniform_continuous
lemma linear_map.continuous_of_bound (C : ℝ) (h : ∀x, ∥f x∥ ≤ C * ∥x∥) :
continuous f :=
(f.lipschitz_of_bound C h).continuous
/-- Construct a continuous linear map from a linear map and a bound on this linear map.
The fact that the norm of the continuous linear map is then controlled is given in
`linear_map.mk_continuous_norm_le`. -/
def linear_map.mk_continuous (C : ℝ) (h : ∀x, ∥f x∥ ≤ C * ∥x∥) : E →L[𝕜] F :=
⟨f, linear_map.continuous_of_bound f C h⟩
/-- Reinterpret a linear map `𝕜 →ₗ[𝕜] E` as a continuous linear map. This construction
is generalized to the case of any finite dimensional domain
in `linear_map.to_continuous_linear_map`. -/
def linear_map.to_continuous_linear_map₁ (f : 𝕜 →ₗ[𝕜] E) : 𝕜 →L[𝕜] E :=
f.mk_continuous (∥f 1∥) $ λ x, le_of_eq $
by { conv_lhs { rw ← mul_one x }, rw [← smul_eq_mul, f.map_smul, norm_smul, mul_comm] }
/-- Construct a continuous linear map from a linear map and the existence of a bound on this linear
map. If you have an explicit bound, use `linear_map.mk_continuous` instead, as a norm estimate will
follow automatically in `linear_map.mk_continuous_norm_le`. -/
def linear_map.mk_continuous_of_exists_bound (h : ∃C, ∀x, ∥f x∥ ≤ C * ∥x∥) : E →L[𝕜] F :=
⟨f, let ⟨C, hC⟩ := h in linear_map.continuous_of_bound f C hC⟩
@[simp, norm_cast] lemma linear_map.mk_continuous_coe (C : ℝ) (h : ∀x, ∥f x∥ ≤ C * ∥x∥) :
((f.mk_continuous C h) : E →ₗ[𝕜] F) = f := rfl
@[simp] lemma linear_map.mk_continuous_apply (C : ℝ) (h : ∀x, ∥f x∥ ≤ C * ∥x∥) (x : E) :
f.mk_continuous C h x = f x := rfl
@[simp, norm_cast] lemma linear_map.mk_continuous_of_exists_bound_coe (h : ∃C, ∀x, ∥f x∥ ≤ C * ∥x∥) :
((f.mk_continuous_of_exists_bound h) : E →ₗ[𝕜] F) = f := rfl
@[simp] lemma linear_map.mk_continuous_of_exists_bound_apply (h : ∃C, ∀x, ∥f x∥ ≤ C * ∥x∥) (x : E) :
f.mk_continuous_of_exists_bound h x = f x := rfl
@[simp] lemma linear_map.to_continuous_linear_map₁_coe (f : 𝕜 →ₗ[𝕜] E) :
(f.to_continuous_linear_map₁ : 𝕜 →ₗ[𝕜] E) = f :=
rfl
@[simp] lemma linear_map.to_continuous_linear_map₁_apply (f : 𝕜 →ₗ[𝕜] E) (x) :
f.to_continuous_linear_map₁ x = f x :=
rfl
lemma linear_map.continuous_iff_is_closed_ker {f : E →ₗ[𝕜] 𝕜} :
continuous f ↔ is_closed (f.ker : set E) :=
begin
-- the continuity of f obviously implies that its kernel is closed
refine ⟨λh, (continuous_iff_is_closed.1 h) {0} (t1_space.t1 0), λh, _⟩,
-- for the other direction, we assume that the kernel is closed
by_cases hf : ∀x, x ∈ f.ker,
{ -- if `f = 0`, its continuity is obvious
have : (f : E → 𝕜) = (λx, 0), by { ext x, simpa using hf x },
rw this,
exact continuous_const },
{ /- if `f` is not zero, we use an element `x₀ ∉ ker f` such that `∥x₀∥ ≤ 2 ∥x₀ - y∥` for all
`y ∈ ker f`, given by Riesz's lemma, and prove that `2 ∥f x₀∥ / ∥x₀∥` gives a bound on the
operator norm of `f`. For this, start from an arbitrary `x` and note that
`y = x₀ - (f x₀ / f x) x` belongs to the kernel of `f`. Applying the above inequality to `x₀`
and `y` readily gives the conclusion. -/
push_neg at hf,
let r : ℝ := (2 : ℝ)⁻¹,
have : 0 ≤ r, by norm_num [r],
have : r < 1, by norm_num [r],
obtain ⟨x₀, x₀ker, h₀⟩ : ∃ (x₀ : E), x₀ ∉ f.ker ∧ ∀ y ∈ linear_map.ker f, r * ∥x₀∥ ≤ ∥x₀ - y∥,
from riesz_lemma h hf this,
have : x₀ ≠ 0,
{ assume h,
have : x₀ ∈ f.ker, by { rw h, exact (linear_map.ker f).zero_mem },
exact x₀ker this },
have rx₀_ne_zero : r * ∥x₀∥ ≠ 0, by { simp [norm_eq_zero, this], norm_num },
have : ∀x, ∥f x∥ ≤ (((r * ∥x₀∥)⁻¹) * ∥f x₀∥) * ∥x∥,
{ assume x,
by_cases hx : f x = 0,
{ rw [hx, norm_zero],
apply_rules [mul_nonneg, norm_nonneg, inv_nonneg.2] },
{ let y := x₀ - (f x₀ * (f x)⁻¹ ) • x,
have fy_zero : f y = 0, by calc
f y = f x₀ - (f x₀ * (f x)⁻¹ ) * f x : by simp [y]
... = 0 :
by { rw [mul_assoc, inv_mul_cancel hx, mul_one, sub_eq_zero_of_eq], refl },
have A : r * ∥x₀∥ ≤ ∥f x₀∥ * ∥f x∥⁻¹ * ∥x∥, from calc
r * ∥x₀∥ ≤ ∥x₀ - y∥ : h₀ _ (linear_map.mem_ker.2 fy_zero)
... = ∥(f x₀ * (f x)⁻¹ ) • x∥ : by { dsimp [y], congr, abel }
... = ∥f x₀∥ * ∥f x∥⁻¹ * ∥x∥ :
by rw [norm_smul, normed_field.norm_mul, normed_field.norm_inv],
calc
∥f x∥ = (r * ∥x₀∥)⁻¹ * (r * ∥x₀∥) * ∥f x∥ : by rwa [inv_mul_cancel, one_mul]
... ≤ (r * ∥x₀∥)⁻¹ * (∥f x₀∥ * ∥f x∥⁻¹ * ∥x∥) * ∥f x∥ : begin
apply mul_le_mul_of_nonneg_right (mul_le_mul_of_nonneg_left A _) (norm_nonneg _),
exact inv_nonneg.2 (mul_nonneg (by norm_num) (norm_nonneg _))
end
... = (∥f x∥ ⁻¹ * ∥f x∥) * (((r * ∥x₀∥)⁻¹) * ∥f x₀∥) * ∥x∥ : by ring
... = (((r * ∥x₀∥)⁻¹) * ∥f x₀∥) * ∥x∥ :
by { rw [inv_mul_cancel, one_mul], simp [norm_eq_zero, hx] } } },
exact linear_map.continuous_of_bound f _ this }
end
end normed_field
variables [nondiscrete_normed_field 𝕜] [normed_space 𝕜 E] [normed_space 𝕜 F] [normed_space 𝕜 G]
(c : 𝕜) (f g : E →L[𝕜] F) (h : F →L[𝕜] G) (x y z : E)
include 𝕜
/-- A continuous linear map between normed spaces is bounded when the field is nondiscrete.
The continuity ensures boundedness on a ball of some radius `δ`. The nondiscreteness is then
used to rescale any element into an element of norm in `[δ/C, δ]`, whose image has a controlled norm.
The norm control for the original element follows by rescaling. -/
lemma linear_map.bound_of_continuous (f : E →ₗ[𝕜] F) (hf : continuous f) :
∃ C, 0 < C ∧ (∀ x : E, ∥f x∥ ≤ C * ∥x∥) :=
begin
have : continuous_at f 0 := continuous_iff_continuous_at.1 hf _,
rcases metric.tendsto_nhds_nhds.1 this 1 zero_lt_one with ⟨ε, ε_pos, hε⟩,
let δ := ε/2,
have δ_pos : δ > 0 := half_pos ε_pos,
have H : ∀{a}, ∥a∥ ≤ δ → ∥f a∥ ≤ 1,
{ assume a ha,
have : dist (f a) (f 0) ≤ 1,
{ apply le_of_lt (hε _),
rw [dist_eq_norm, sub_zero],
exact lt_of_le_of_lt ha (half_lt_self ε_pos) },
simpa using this },
rcases normed_field.exists_one_lt_norm 𝕜 with ⟨c, hc⟩,
refine ⟨δ⁻¹ * ∥c∥, mul_pos (inv_pos.2 δ_pos) (lt_trans zero_lt_one hc), (λx, _)⟩,
by_cases h : x = 0,
{ simp only [h, norm_zero, mul_zero, linear_map.map_zero] },
{ rcases rescale_to_shell hc δ_pos h with ⟨d, hd, dxle, ledx, dinv⟩,
calc ∥f x∥
= ∥f ((d⁻¹ * d) • x)∥ : by rwa [inv_mul_cancel, one_smul]
... = ∥d∥⁻¹ * ∥f (d • x)∥ :
by rw [mul_smul, linear_map.map_smul, norm_smul, normed_field.norm_inv]
... ≤ ∥d∥⁻¹ * 1 :
mul_le_mul_of_nonneg_left (H dxle) (by { rw ← normed_field.norm_inv, exact norm_nonneg _ })
... ≤ δ⁻¹ * ∥c∥ * ∥x∥ : by { rw mul_one, exact dinv } }
end
namespace continuous_linear_map
theorem bound : ∃ C, 0 < C ∧ (∀ x : E, ∥f x∥ ≤ C * ∥x∥) :=
f.to_linear_map.bound_of_continuous f.2
section
open asymptotics filter
theorem is_O_id (l : filter E) : is_O f (λ x, x) l :=
let ⟨M, hMp, hM⟩ := f.bound in is_O_of_le' l hM
theorem is_O_comp {α : Type*} (g : F →L[𝕜] G) (f : α → F) (l : filter α) :
is_O (λ x', g (f x')) f l :=
(g.is_O_id ⊤).comp_tendsto le_top
theorem is_O_sub (f : E →L[𝕜] F) (l : filter E) (x : E) :
is_O (λ x', f (x' - x)) (λ x', x' - x) l :=
f.is_O_comp _ l
/-- A linear map which is a homothety is a continuous linear map.
Since the field `𝕜` need not have `ℝ` as a subfield, this theorem is not directly deducible from
the corresponding theorem about isometries plus a theorem about scalar multiplication. Likewise
for the other theorems about homotheties in this file.
-/
def of_homothety (f : E →ₗ[𝕜] F) (a : ℝ) (hf : ∀x, ∥f x∥ = a * ∥x∥) : E →L[𝕜] F :=
f.mk_continuous a (λ x, le_of_eq (hf x))
variable (𝕜)
lemma to_span_singleton_homothety (x : E) (c : 𝕜) : ∥linear_map.to_span_singleton 𝕜 E x c∥ = ∥x∥ * ∥c∥ :=
by {rw mul_comm, exact norm_smul _ _}
/-- Given an element `x` of a normed space `E` over a field `𝕜`, the natural continuous
linear map from `E` to the span of `x`.-/
def to_span_singleton (x : E) : 𝕜 →L[𝕜] E :=
of_homothety (linear_map.to_span_singleton 𝕜 E x) ∥x∥ (to_span_singleton_homothety 𝕜 x)
end
section op_norm
open set real
/-- The operator norm of a continuous linear map is the inf of all its bounds. -/
def op_norm := Inf {c | 0 ≤ c ∧ ∀ x, ∥f x∥ ≤ c * ∥x∥}
instance has_op_norm : has_norm (E →L[𝕜] F) := ⟨op_norm⟩
lemma norm_def : ∥f∥ = Inf {c | 0 ≤ c ∧ ∀ x, ∥f x∥ ≤ c * ∥x∥} := rfl
-- So that invocations of `real.Inf_le` make sense: we show that the set of
-- bounds is nonempty and bounded below.
lemma bounds_nonempty {f : E →L[𝕜] F} :
∃ c, c ∈ { c | 0 ≤ c ∧ ∀ x, ∥f x∥ ≤ c * ∥x∥ } :=
let ⟨M, hMp, hMb⟩ := f.bound in ⟨M, le_of_lt hMp, hMb⟩
lemma bounds_bdd_below {f : E →L[𝕜] F} :
bdd_below { c | 0 ≤ c ∧ ∀ x, ∥f x∥ ≤ c * ∥x∥ } :=
⟨0, λ _ ⟨hn, _⟩, hn⟩
lemma op_norm_nonneg : 0 ≤ ∥f∥ :=
lb_le_Inf _ bounds_nonempty (λ _ ⟨hx, _⟩, hx)
/-- The fundamental property of the operator norm: `∥f x∥ ≤ ∥f∥ * ∥x∥`. -/
theorem le_op_norm : ∥f x∥ ≤ ∥f∥ * ∥x∥ :=
classical.by_cases
(λ heq : x = 0, by { rw heq, simp })
(λ hne, have hlt : 0 < ∥x∥, from norm_pos_iff.2 hne,
(div_le_iff hlt).mp ((le_Inf _ bounds_nonempty bounds_bdd_below).2
(λ c ⟨_, hc⟩, (div_le_iff hlt).mpr $ by { apply hc })))
theorem le_op_norm_of_le {c : ℝ} {x} (h : ∥x∥ ≤ c) : ∥f x∥ ≤ ∥f∥ * c :=
le_trans (f.le_op_norm x) (mul_le_mul_of_nonneg_left h f.op_norm_nonneg)
/-- continuous linear maps are Lipschitz continuous. -/
theorem lipschitz : lipschitz_with ⟨∥f∥, op_norm_nonneg f⟩ f :=
lipschitz_with.of_dist_le_mul $ λ x y,
by { rw [dist_eq_norm, dist_eq_norm, ←map_sub], apply le_op_norm }
lemma ratio_le_op_norm : ∥f x∥ / ∥x∥ ≤ ∥f∥ :=
div_le_iff_of_nonneg_of_le (norm_nonneg _) f.op_norm_nonneg (le_op_norm _ _)
/-- The image of the unit ball under a continuous linear map is bounded. -/
lemma unit_le_op_norm : ∥x∥ ≤ 1 → ∥f x∥ ≤ ∥f∥ :=
mul_one ∥f∥ ▸ f.le_op_norm_of_le
/-- If one controls the norm of every `A x`, then one controls the norm of `A`. -/
lemma op_norm_le_bound {M : ℝ} (hMp: 0 ≤ M) (hM : ∀ x, ∥f x∥ ≤ M * ∥x∥) :
∥f∥ ≤ M :=
Inf_le _ bounds_bdd_below ⟨hMp, hM⟩
theorem op_norm_le_of_lipschitz {f : E →L[𝕜] F} {K : nnreal} (hf : lipschitz_with K f) :
∥f∥ ≤ K :=
f.op_norm_le_bound K.2 $ λ x, by simpa only [dist_zero_right, f.map_zero] using hf.dist_le_mul x 0
/-- The operator norm satisfies the triangle inequality. -/
theorem op_norm_add_le : ∥f + g∥ ≤ ∥f∥ + ∥g∥ :=
show ∥f + g∥ ≤ (coe : nnreal → ℝ) (⟨_, f.op_norm_nonneg⟩ + ⟨_, g.op_norm_nonneg⟩),
from op_norm_le_of_lipschitz (f.lipschitz.add g.lipschitz)
/-- An operator is zero iff its norm vanishes. -/
theorem op_norm_zero_iff : ∥f∥ = 0 ↔ f = 0 :=
iff.intro
(λ hn, continuous_linear_map.ext (λ x, norm_le_zero_iff.1
(calc _ ≤ ∥f∥ * ∥x∥ : le_op_norm _ _
... = _ : by rw [hn, zero_mul])))
(λ hf, le_antisymm (Inf_le _ bounds_bdd_below
⟨ge_of_eq rfl, λ _, le_of_eq (by { rw [zero_mul, hf], exact norm_zero })⟩)
(op_norm_nonneg _))
/-- The norm of the identity is at most `1`. It is in fact `1`, except when the space is trivial
where it is `0`. It means that one can not do better than an inequality in general. -/
lemma norm_id_le : ∥id 𝕜 E∥ ≤ 1 :=
op_norm_le_bound _ zero_le_one (λx, by simp)
/-- If a space is non-trivial, then the norm of the identity equals `1`. -/
lemma norm_id [nontrivial E] : ∥id 𝕜 E∥ = 1 :=
le_antisymm norm_id_le $ let ⟨x, hx⟩ := exists_ne (0 : E) in
have _ := (id 𝕜 E).ratio_le_op_norm x,
by rwa [id_apply, div_self (ne_of_gt $ norm_pos_iff.2 hx)] at this
@[simp] lemma norm_id_field : ∥id 𝕜 𝕜∥ = 1 :=
norm_id
@[simp] lemma norm_id_field' : ∥(1 : 𝕜 →L[𝕜] 𝕜)∥ = 1 :=
norm_id_field
lemma op_norm_smul_le : ∥c • f∥ ≤ ∥c∥ * ∥f∥ :=
((c • f).op_norm_le_bound
(mul_nonneg (norm_nonneg _) (op_norm_nonneg _)) (λ _,
begin
erw [norm_smul, mul_assoc],
exact mul_le_mul_of_nonneg_left (le_op_norm _ _) (norm_nonneg _)
end))
lemma op_norm_neg : ∥-f∥ = ∥f∥ := by { rw norm_def, apply congr_arg, ext, simp }
/-- Continuous linear maps themselves form a normed space with respect to
the operator norm. -/
instance to_normed_group : normed_group (E →L[𝕜] F) :=
normed_group.of_core _ ⟨op_norm_zero_iff, op_norm_add_le, op_norm_neg⟩
instance to_normed_space : normed_space 𝕜 (E →L[𝕜] F) :=
⟨op_norm_smul_le⟩
/-- The operator norm is submultiplicative. -/
lemma op_norm_comp_le (f : E →L[𝕜] F) : ∥h.comp f∥ ≤ ∥h∥ * ∥f∥ :=
(Inf_le _ bounds_bdd_below
⟨mul_nonneg (op_norm_nonneg _) (op_norm_nonneg _), λ x,
by { rw mul_assoc, exact h.le_op_norm_of_le (f.le_op_norm x) } ⟩)
/-- Continuous linear maps form a normed ring with respect to the operator norm. -/
instance to_normed_ring : normed_ring (E →L[𝕜] E) :=
{ norm_mul := op_norm_comp_le,
.. continuous_linear_map.to_normed_group }
/-- For a nonzero normed space `E`, continuous linear endomorphisms form a normed algebra with
respect to the operator norm. -/
instance to_normed_algebra [nontrivial E] : normed_algebra 𝕜 (E →L[𝕜] E) :=
{ norm_algebra_map_eq := λ c, show ∥c • id 𝕜 E∥ = ∥c∥,
by {rw [norm_smul, norm_id], simp},
.. continuous_linear_map.algebra }
/-- A continuous linear map is automatically uniformly continuous. -/
protected theorem uniform_continuous : uniform_continuous f :=
f.lipschitz.uniform_continuous
variable {f}
/-- A continuous linear map is an isometry if and only if it preserves the norm. -/
lemma isometry_iff_norm_image_eq_norm :
isometry f ↔ ∀x, ∥f x∥ = ∥x∥ :=
begin
rw isometry_emetric_iff_metric,
split,
{ assume H x,
have := H x 0,
rwa [dist_eq_norm, dist_eq_norm, f.map_zero, sub_zero, sub_zero] at this },
{ assume H x y,
rw [dist_eq_norm, dist_eq_norm, ← f.map_sub, H] }
end
lemma homothety_norm (hE : 0 < vector_space.dim 𝕜 E) (f : E →L[𝕜] F) {a : ℝ} (ha : 0 ≤ a) (hf : ∀x, ∥f x∥ = a * ∥x∥) :
∥f∥ = a :=
begin
refine le_antisymm_iff.mpr ⟨_, _⟩,
{ exact continuous_linear_map.op_norm_le_bound f ha (λ y, le_of_eq (hf y)) },
{ rw continuous_linear_map.norm_def,
apply real.lb_le_Inf _ continuous_linear_map.bounds_nonempty,
cases dim_pos_iff_exists_ne_zero.mp hE with x hx,
intros c h, rw mem_set_of_eq at h,
apply (mul_le_mul_right (norm_pos_iff.mpr hx)).mp,
rw ← hf x, exact h.2 x }
end
lemma to_span_singleton_norm (x : E) : ∥to_span_singleton 𝕜 x∥ = ∥x∥ :=
begin
refine homothety_norm _ _ (norm_nonneg x) (to_span_singleton_homothety 𝕜 x),
rw dim_of_field, exact cardinal.zero_lt_one,
end
variable (f)
theorem uniform_embedding_of_bound {K : nnreal} (hf : ∀ x, ∥x∥ ≤ K * ∥f x∥) :
uniform_embedding f :=
(f.to_linear_map.antilipschitz_of_bound hf).uniform_embedding f.uniform_continuous
/-- If a continuous linear map is a uniform embedding, then it is expands the distances
by a positive factor.-/
theorem antilipschitz_of_uniform_embedding (hf : uniform_embedding f) :
∃ K, antilipschitz_with K f :=
begin
obtain ⟨ε, εpos, hε⟩ : ∃ (ε : ℝ) (H : ε > 0), ∀ {x y : E}, dist (f x) (f y) < ε → dist x y < 1, from
(uniform_embedding_iff.1 hf).2.2 1 zero_lt_one,
let δ := ε/2,
have δ_pos : δ > 0 := half_pos εpos,
have H : ∀{x}, ∥f x∥ ≤ δ → ∥x∥ ≤ 1,
{ assume x hx,
have : dist x 0 ≤ 1,
{ apply le_of_lt,
apply hε,
simp [dist_eq_norm],
exact lt_of_le_of_lt hx (half_lt_self εpos) },
simpa using this },
rcases normed_field.exists_one_lt_norm 𝕜 with ⟨c, hc⟩,
refine ⟨⟨δ⁻¹, _⟩ * nnnorm c, f.to_linear_map.antilipschitz_of_bound $ λx, _⟩,
exact inv_nonneg.2 (le_of_lt δ_pos),
by_cases hx : f x = 0,
{ have : f x = f 0, by { simp [hx] },
have : x = 0 := (uniform_embedding_iff.1 hf).1 this,
simp [this] },
{ rcases rescale_to_shell hc δ_pos hx with ⟨d, hd, dxle, ledx, dinv⟩,
have : ∥f (d • x)∥ ≤ δ, by simpa,
have : ∥d • x∥ ≤ 1 := H this,
calc ∥x∥ = ∥d∥⁻¹ * ∥d • x∥ :
by rwa [← normed_field.norm_inv, ← norm_smul, ← mul_smul, inv_mul_cancel, one_smul]
... ≤ ∥d∥⁻¹ * 1 :
mul_le_mul_of_nonneg_left this (inv_nonneg.2 (norm_nonneg _))
... ≤ δ⁻¹ * ∥c∥ * ∥f x∥ :
by rwa [mul_one] }
end
section completeness
open_locale topological_space
open filter
/-- If the target space is complete, the space of continuous linear maps with its norm is also
complete. -/
instance [complete_space F] : complete_space (E →L[𝕜] F) :=
begin
-- We show that every Cauchy sequence converges.
refine metric.complete_of_cauchy_seq_tendsto (λ f hf, _),
-- We now expand out the definition of a Cauchy sequence,
rcases cauchy_seq_iff_le_tendsto_0.1 hf with ⟨b, b0, b_bound, b_lim⟩, clear hf,
-- and establish that the evaluation at any point `v : E` is Cauchy.
have cau : ∀ v, cauchy_seq (λ n, f n v),
{ assume v,
apply cauchy_seq_iff_le_tendsto_0.2 ⟨λ n, b n * ∥v∥, λ n, _, _, _⟩,
{ exact mul_nonneg (b0 n) (norm_nonneg _) },
{ assume n m N hn hm,
rw dist_eq_norm,
apply le_trans ((f n - f m).le_op_norm v) _,
exact mul_le_mul_of_nonneg_right (b_bound n m N hn hm) (norm_nonneg v) },
{ simpa using b_lim.mul tendsto_const_nhds } },
-- We assemble the limits points of those Cauchy sequences
-- (which exist as `F` is complete)
-- into a function which we call `G`.
choose G hG using λv, cauchy_seq_tendsto_of_complete (cau v),
-- Next, we show that this `G` is linear,
let Glin : E →ₗ[𝕜] F :=
{ to_fun := G,
map_add' := λ v w, begin
have A := hG (v + w),
have B := (hG v).add (hG w),
simp only [map_add] at A B,
exact tendsto_nhds_unique A B,
end,
map_smul' := λ c v, begin
have A := hG (c • v),
have B := filter.tendsto.smul (@tendsto_const_nhds _ ℕ _ c _) (hG v),
simp only [map_smul] at A B,
exact tendsto_nhds_unique A B
end },
-- and that `G` has norm at most `(b 0 + ∥f 0∥)`.
have Gnorm : ∀ v, ∥G v∥ ≤ (b 0 + ∥f 0∥) * ∥v∥,
{ assume v,
have A : ∀ n, ∥f n v∥ ≤ (b 0 + ∥f 0∥) * ∥v∥,
{ assume n,
apply le_trans ((f n).le_op_norm _) _,
apply mul_le_mul_of_nonneg_right _ (norm_nonneg v),
calc ∥f n∥ = ∥(f n - f 0) + f 0∥ : by { congr' 1, abel }
... ≤ ∥f n - f 0∥ + ∥f 0∥ : norm_add_le _ _
... ≤ b 0 + ∥f 0∥ : begin
apply add_le_add_right,
simpa [dist_eq_norm] using b_bound n 0 0 (zero_le _) (zero_le _)
end },
exact le_of_tendsto (hG v).norm (eventually_of_forall A) },
-- Thus `G` is continuous, and we propose that as the limit point of our original Cauchy sequence.
let Gcont := Glin.mk_continuous _ Gnorm,
use Gcont,
-- Our last task is to establish convergence to `G` in norm.
have : ∀ n, ∥f n - Gcont∥ ≤ b n,
{ assume n,
apply op_norm_le_bound _ (b0 n) (λ v, _),
have A : ∀ᶠ m in at_top, ∥(f n - f m) v∥ ≤ b n * ∥v∥,
{ refine eventually_at_top.2 ⟨n, λ m hm, _⟩,
apply le_trans ((f n - f m).le_op_norm _) _,
exact mul_le_mul_of_nonneg_right (b_bound n m n (le_refl _) hm) (norm_nonneg v) },
have B : tendsto (λ m, ∥(f n - f m) v∥) at_top (𝓝 (∥(f n - Gcont) v∥)) :=
tendsto.norm (tendsto_const_nhds.sub (hG v)),
exact le_of_tendsto B A },
erw tendsto_iff_norm_tendsto_zero,
exact squeeze_zero (λ n, norm_nonneg _) this b_lim,
end
end completeness
section uniformly_extend
variables [complete_space F] (e : E →L[𝕜] G) (h_dense : dense_range e)
section
variables (h_e : uniform_inducing e)
/-- Extension of a continuous linear map `f : E →L[𝕜] F`, with `E` a normed space and `F` a complete
normed space, along a uniform and dense embedding `e : E →L[𝕜] G`. -/
def extend : G →L[𝕜] F :=
/- extension of `f` is continuous -/
have cont : _ := (uniform_continuous_uniformly_extend h_e h_dense f.uniform_continuous).continuous,
/- extension of `f` agrees with `f` on the domain of the embedding `e` -/
have eq : _ := uniformly_extend_of_ind h_e h_dense f.uniform_continuous,
{ to_fun := (h_e.dense_inducing h_dense).extend f,
map_add' :=
begin
refine h_dense.induction_on₂ _ _,
{ exact is_closed_eq (cont.comp continuous_add)
((cont.comp continuous_fst).add (cont.comp continuous_snd)) },
{ assume x y, simp only [eq, ← e.map_add], exact f.map_add _ _ },
end,
map_smul' := λk,
begin
refine (λ b, h_dense.induction_on b _ _),
{ exact is_closed_eq (cont.comp (continuous_const.smul continuous_id))
((continuous_const.smul continuous_id).comp cont) },
{ assume x, rw ← map_smul, simp only [eq], exact map_smul _ _ _ },
end,
cont := cont
}
lemma extend_unique (g : G →L[𝕜] F) (H : g.comp e = f) : extend f e h_dense h_e = g :=
continuous_linear_map.coe_inj $
uniformly_extend_unique h_e h_dense (continuous_linear_map.ext_iff.1 H) g.continuous
@[simp] lemma extend_zero : extend (0 : E →L[𝕜] F) e h_dense h_e = 0 :=
extend_unique _ _ _ _ _ (zero_comp _)
end
section
variables {N : nnreal} (h_e : ∀x, ∥x∥ ≤ N * ∥e x∥)
local notation `ψ` := f.extend e h_dense (uniform_embedding_of_bound _ h_e).to_uniform_inducing
/-- If a dense embedding `e : E →L[𝕜] G` expands the norm by a constant factor `N⁻¹`, then the norm
of the extension of `f` along `e` is bounded by `N * ∥f∥`. -/
lemma op_norm_extend_le : ∥ψ∥ ≤ N * ∥f∥ :=
begin
have uni : uniform_inducing e := (uniform_embedding_of_bound _ h_e).to_uniform_inducing,
have eq : ∀x, ψ (e x) = f x := uniformly_extend_of_ind uni h_dense f.uniform_continuous,
by_cases N0 : 0 ≤ N,
{ refine op_norm_le_bound ψ _ (is_closed_property h_dense (is_closed_le _ _) _),
{ exact mul_nonneg N0 (norm_nonneg _) },
{ exact continuous_norm.comp (cont ψ) },
{ exact continuous_const.mul continuous_norm },
{ assume x,
rw eq,
calc ∥f x∥ ≤ ∥f∥ * ∥x∥ : le_op_norm _ _
... ≤ ∥f∥ * (N * ∥e x∥) : mul_le_mul_of_nonneg_left (h_e x) (norm_nonneg _)
... ≤ N * ∥f∥ * ∥e x∥ : by rw [mul_comm ↑N ∥f∥, mul_assoc] } },
{ have he : ∀ x : E, x = 0,
{ assume x,
have N0 : N ≤ 0 := le_of_lt (lt_of_not_ge N0),
rw ← norm_le_zero_iff,
exact le_trans (h_e x) (mul_nonpos_of_nonpos_of_nonneg N0 (norm_nonneg _)) },
have hf : f = 0, { ext, simp only [he x, zero_apply, map_zero] },
have hψ : ψ = 0, { rw hf, apply extend_zero },
rw [hψ, hf, norm_zero, norm_zero, mul_zero] }
end
end
end uniformly_extend
end op_norm
end continuous_linear_map
/-- If a continuous linear map is constructed from a linear map via the constructor `mk_continuous`,
then its norm is bounded by the bound given to the constructor if it is nonnegative. -/
lemma linear_map.mk_continuous_norm_le (f : E →ₗ[𝕜] F) {C : ℝ} (hC : 0 ≤ C) (h : ∀x, ∥f x∥ ≤ C * ∥x∥) :
∥f.mk_continuous C h∥ ≤ C :=
continuous_linear_map.op_norm_le_bound _ hC h
namespace continuous_linear_map
/-- The norm of the tensor product of a scalar linear map and of an element of a normed space
is the product of the norms. -/
@[simp] lemma smul_right_norm {c : E →L[𝕜] 𝕜} {f : F} :
∥smul_right c f∥ = ∥c∥ * ∥f∥ :=
begin
refine le_antisymm _ _,
{ apply op_norm_le_bound _ (mul_nonneg (norm_nonneg _) (norm_nonneg _)) (λx, _),
calc
∥(c x) • f∥ = ∥c x∥ * ∥f∥ : norm_smul _ _
... ≤ (∥c∥ * ∥x∥) * ∥f∥ :
mul_le_mul_of_nonneg_right (le_op_norm _ _) (norm_nonneg _)
... = ∥c∥ * ∥f∥ * ∥x∥ : by ring },
{ by_cases h : ∥f∥ = 0,
{ rw h, simp [norm_nonneg] },
{ have : 0 < ∥f∥ := lt_of_le_of_ne (norm_nonneg _) (ne.symm h),
rw ← le_div_iff this,
apply op_norm_le_bound _ (div_nonneg (norm_nonneg _) (norm_nonneg f)) (λx, _),
rw [div_mul_eq_mul_div, le_div_iff this],
calc ∥c x∥ * ∥f∥ = ∥c x • f∥ : (norm_smul _ _).symm
... = ∥((smul_right c f) : E → F) x∥ : rfl
... ≤ ∥smul_right c f∥ * ∥x∥ : le_op_norm _ _ } },
end
section multiplication_linear
variables (𝕜) (𝕜' : Type*) [normed_ring 𝕜'] [normed_algebra 𝕜 𝕜']
/-- Left-multiplication in a normed algebra, considered as a continuous linear map. -/
def lmul_left : 𝕜' → (𝕜' →L[𝕜] 𝕜') :=
λ x, (algebra.lmul_left 𝕜 𝕜' x).mk_continuous ∥x∥
(λ y, by {rw algebra.lmul_left_apply, exact norm_mul_le x y})
/-- Right-multiplication in a normed algebra, considered as a continuous linear map. -/
def lmul_right : 𝕜' → (𝕜' →L[𝕜] 𝕜') :=
λ x, (algebra.lmul_right 𝕜 𝕜' x).mk_continuous ∥x∥
(λ y, by {rw [algebra.lmul_right_apply, mul_comm], exact norm_mul_le y x})
/-- Simultaneous left- and right-multiplication in a normed algebra, considered as a continuous
linear map. -/
def lmul_left_right (vw : 𝕜' × 𝕜') : 𝕜' →L[𝕜] 𝕜' :=
(lmul_right 𝕜 𝕜' vw.2).comp (lmul_left 𝕜 𝕜' vw.1)
@[simp] lemma lmul_left_apply (x y : 𝕜') : lmul_left 𝕜 𝕜' x y = x * y := rfl
@[simp] lemma lmul_right_apply (x y : 𝕜') : lmul_right 𝕜 𝕜' x y = y * x := rfl
@[simp] lemma lmul_left_right_apply (vw : 𝕜' × 𝕜') (x : 𝕜') :
lmul_left_right 𝕜 𝕜' vw x = vw.1 * x * vw.2 := rfl
end multiplication_linear
section restrict_scalars
variable (𝕜)
variables {𝕜' : Type*} [normed_field 𝕜'] [normed_algebra 𝕜 𝕜']
{E' : Type*} [normed_group E'] [normed_space 𝕜' E']
{F' : Type*} [normed_group F'] [normed_space 𝕜' F']
/-- `𝕜`-linear continuous function induced by a `𝕜'`-linear continuous function when `𝕜'` is a
normed algebra over `𝕜`. -/
def restrict_scalars (f : E' →L[𝕜'] F') :
(semimodule.restrict_scalars 𝕜 𝕜' E') →L[𝕜] (semimodule.restrict_scalars 𝕜 𝕜' F') :=
{ cont := f.cont,
..linear_map.restrict_scalars 𝕜 (f.to_linear_map) }
@[simp, norm_cast] lemma restrict_scalars_coe_eq_coe (f : E' →L[𝕜'] F') :
(f.restrict_scalars 𝕜 :
(semimodule.restrict_scalars 𝕜 𝕜' E') →ₗ[𝕜] (semimodule.restrict_scalars 𝕜 𝕜' F')) =
(f : E' →ₗ[𝕜'] F').restrict_scalars 𝕜 := rfl
@[simp, norm_cast squash] lemma restrict_scalars_coe_eq_coe' (f : E' →L[𝕜'] F') :
(f.restrict_scalars 𝕜 : E' → F') = f := rfl
end restrict_scalars
section extend_scalars
variables {𝕜' : Type*} [normed_field 𝕜'] [normed_algebra 𝕜 𝕜']
{F' : Type*} [normed_group F'] [normed_space 𝕜' F']
instance has_scalar_extend_scalars : has_scalar 𝕜' (E →L[𝕜] (semimodule.restrict_scalars 𝕜 𝕜' F')) :=
{ smul := λ c f, (c • f.to_linear_map).mk_continuous (∥c∥ * ∥f∥)
begin
assume x,
calc ∥c • (f x)∥ = ∥c∥ * ∥f x∥ : norm_smul c _
... ≤ ∥c∥ * (∥f∥ * ∥x∥) : mul_le_mul_of_nonneg_left (le_op_norm f x) (norm_nonneg _)
... = ∥c∥ * ∥f∥ * ∥x∥ : (mul_assoc _ _ _).symm
end }
instance module_extend_scalars : module 𝕜' (E →L[𝕜] (semimodule.restrict_scalars 𝕜 𝕜' F')) :=
{ smul_zero := λ _, ext $ λ _, smul_zero _,
zero_smul := λ _, ext $ λ _, zero_smul _ _,
one_smul := λ _, ext $ λ _, one_smul _ _,
mul_smul := λ _ _ _, ext $ λ _, mul_smul _ _ _,
add_smul := λ _ _ _, ext $ λ _, add_smul _ _ _,
smul_add := λ _ _ _, ext $ λ _, smul_add _ _ _ }
instance normed_space_extend_scalars : normed_space 𝕜' (E →L[𝕜] (semimodule.restrict_scalars 𝕜 𝕜' F')) :=
{ norm_smul_le := λ c f,
linear_map.mk_continuous_norm_le _ (mul_nonneg (norm_nonneg _) (norm_nonneg _)) _ }
/-- When `f` is a continuous linear map taking values in `S`, then `λb, f b • x` is a
continuous linear map. -/
def smul_algebra_right (f : E →L[𝕜] 𝕜') (x : semimodule.restrict_scalars 𝕜 𝕜' F') :
E →L[𝕜] (semimodule.restrict_scalars 𝕜 𝕜' F') :=
{ cont := by continuity!,
.. smul_algebra_right f.to_linear_map x }
@[simp] theorem smul_algebra_right_apply
(f : E →L[𝕜] 𝕜') (x : semimodule.restrict_scalars 𝕜 𝕜' F') (c : E) :
smul_algebra_right f x c = f c • x := rfl
end extend_scalars
section has_sum
variables {ι : Type*}
/-- Applying a continuous linear map commutes with taking an (infinite) sum. -/
protected lemma has_sum {f : ι → E} (φ : E →L[𝕜] F) {x : E} (hf : has_sum f x) :
has_sum (λ (b:ι), φ (f b)) (φ x) :=
begin
unfold has_sum,
convert φ.continuous.continuous_at.tendsto.comp hf,
ext s, rw [function.comp_app, finset.sum_hom s φ],
end
lemma has_sum_of_summable {f : ι → E} (φ : E →L[𝕜] F) (hf : summable f) :
has_sum (λ (b:ι), φ (f b)) (φ (∑'b, f b)) :=
φ.has_sum hf.has_sum
end has_sum
end continuous_linear_map
namespace continuous_linear_equiv
variable (e : E ≃L[𝕜] F)
protected lemma lipschitz : lipschitz_with (nnnorm (e : E →L[𝕜] F)) e :=
(e : E →L[𝕜] F).lipschitz
protected lemma antilipschitz : antilipschitz_with (nnnorm (e.symm : F →L[𝕜] E)) e :=
e.symm.lipschitz.to_right_inverse e.left_inv
theorem is_O_comp {α : Type*} (f : α → E) (l : filter α) :
asymptotics.is_O (λ x', e (f x')) f l :=
(e : E →L[𝕜] F).is_O_comp f l
theorem is_O_sub (l : filter E) (x : E) :
asymptotics.is_O (λ x', e (x' - x)) (λ x', x' - x) l :=
(e : E →L[𝕜] F).is_O_sub l x
theorem is_O_comp_rev {α : Type*} (f : α → E) (l : filter α) :
asymptotics.is_O f (λ x', e (f x')) l :=
(e.symm.is_O_comp _ l).congr_left $ λ _, e.symm_apply_apply _
theorem is_O_sub_rev (l : filter E) (x : E) :
asymptotics.is_O (λ x', x' - x) (λ x', e (x' - x)) l :=
e.is_O_comp_rev _ _
/-- A continuous linear equiv is a uniform embedding. -/
lemma uniform_embedding : uniform_embedding e :=
e.antilipschitz.uniform_embedding e.lipschitz.uniform_continuous
lemma one_le_norm_mul_norm_symm [nontrivial E] :
1 ≤ ∥(e : E →L[𝕜] F)∥ * ∥(e.symm : F →L[𝕜] E)∥ :=
begin
rw [mul_comm],
convert (e.symm : F →L[𝕜] E).op_norm_comp_le (e : E →L[𝕜] F),
rw [e.coe_symm_comp_coe, continuous_linear_map.norm_id]
end
lemma norm_pos [nontrivial E] : 0 < ∥(e : E →L[𝕜] F)∥ :=
pos_of_mul_pos_right (lt_of_lt_of_le zero_lt_one e.one_le_norm_mul_norm_symm) (norm_nonneg _)
lemma norm_symm_pos [nontrivial E] : 0 < ∥(e.symm : F →L[𝕜] E)∥ :=
pos_of_mul_pos_left (lt_of_lt_of_le zero_lt_one e.one_le_norm_mul_norm_symm) (norm_nonneg _)
lemma subsingleton_or_norm_symm_pos : subsingleton E ∨ 0 < ∥(e.symm : F →L[𝕜] E)∥ :=
begin
rcases subsingleton_or_nontrivial E with _i|_i; resetI,
{ left, apply_instance },
{ right, exact e.norm_symm_pos }
end
lemma subsingleton_or_nnnorm_symm_pos : subsingleton E ∨ 0 < (nnnorm $ (e.symm : F →L[𝕜] E)) :=
subsingleton_or_norm_symm_pos e
lemma homothety_inverse (a : ℝ) (ha : 0 < a) (f : E ≃ₗ[𝕜] F) :
(∀ (x : E), ∥f x∥ = a * ∥x∥) → (∀ (y : F), ∥f.symm y∥ = a⁻¹ * ∥y∥) :=
begin
intros hf y,
calc ∥(f.symm) y∥ = a⁻¹ * (a * ∥ (f.symm) y∥) : _
... = a⁻¹ * ∥f ((f.symm) y)∥ : by rw hf
... = a⁻¹ * ∥y∥ : by simp,
rw [← mul_assoc, inv_mul_cancel (ne_of_lt ha).symm, one_mul],
end
variable (𝕜)
/-- A linear equivalence which is a homothety is a continuous linear equivalence. -/
def of_homothety (f : E ≃ₗ[𝕜] F) (a : ℝ) (ha : 0 < a) (hf : ∀x, ∥f x∥ = a * ∥x∥) : E ≃L[𝕜] F :=
{ to_linear_equiv := f,
continuous_to_fun := f.to_linear_map.continuous_of_bound a (λ x, le_of_eq (hf x)),
continuous_inv_fun := f.symm.to_linear_map.continuous_of_bound a⁻¹
(λ x, le_of_eq (homothety_inverse a ha f hf x)) }
lemma to_span_nonzero_singleton_homothety (x : E) (h : x ≠ 0) (c : 𝕜) :
∥linear_equiv.to_span_nonzero_singleton 𝕜 E x h c∥ = ∥x∥ * ∥c∥ :=
continuous_linear_map.to_span_singleton_homothety _ _ _
/-- Given a nonzero element `x` of a normed space `E` over a field `𝕜`, the natural
continuous linear equivalence from `E` to the span of `x`.-/
def to_span_nonzero_singleton (x : E) (h : x ≠ 0) : 𝕜 ≃L[𝕜] (submodule.span 𝕜 ({x} : set E)) :=
of_homothety 𝕜
(linear_equiv.to_span_nonzero_singleton 𝕜 E x h)
∥x∥
(norm_pos_iff.mpr h)
(to_span_nonzero_singleton_homothety 𝕜 x h)
/-- Given a nonzero element `x` of a normed space `E` over a field `𝕜`, the natural continuous
linear map from the span of `x` to `𝕜`.-/
abbreviation coord (x : E) (h : x ≠ 0) : (submodule.span 𝕜 ({x} : set E)) →L[𝕜] 𝕜 :=
(to_span_nonzero_singleton 𝕜 x h).symm
lemma coord_norm (x : E) (h : x ≠ 0) : ∥coord 𝕜 x h∥ = ∥x∥⁻¹ :=
begin
have hx : 0 < ∥x∥ := (norm_pos_iff.mpr h),
refine continuous_linear_map.homothety_norm _ _ (le_of_lt (inv_pos.mpr hx)) _,
{ rw ← finite_dimensional.findim_eq_dim,
rw ← linear_equiv.findim_eq (linear_equiv.to_span_nonzero_singleton 𝕜 E x h),
rw finite_dimensional.findim_of_field,
have : 0 = ((0:nat) : cardinal) := rfl,
rw this, apply cardinal.nat_cast_lt.mpr, norm_num },
{ intros y,
have : (coord 𝕜 x h) y = (to_span_nonzero_singleton 𝕜 x h).symm y := rfl,
rw this, apply homothety_inverse, exact hx, exact to_span_nonzero_singleton_homothety 𝕜 x h, }
end
lemma coord_self (x : E) (h : x ≠ 0) :
(coord 𝕜 x h) (⟨x, submodule.mem_span_singleton_self x⟩ : submodule.span 𝕜 ({x} : set E)) = 1 :=
linear_equiv.coord_self 𝕜 E x h
variable (E)
/-- The continuous linear equivalences from `E` to itself form a group under composition. -/
instance automorphism_group : group (E ≃L[𝕜] E) :=
{ mul := λ f g, g.trans f,
one := continuous_linear_equiv.refl 𝕜 E,
inv := λ f, f.symm,
mul_assoc := λ f g h, by {ext, refl},
mul_one := λ f, by {ext, refl},
one_mul := λ f, by {ext, refl},
mul_left_inv := λ f, by {ext, exact f.left_inv x} }
variables {𝕜 E}
/-- An invertible continuous linear map `f` determines a continuous equivalence from `E` to itself.
-/
def of_unit (f : units (E →L[𝕜] E)) : (E ≃L[𝕜] E) :=
{ to_linear_equiv :=
{ to_fun := f.val,
map_add' := by simp,
map_smul' := by simp,
inv_fun := f.inv,
left_inv := λ x, show (f.inv * f.val) x = x, by {rw f.inv_val, simp},
right_inv := λ x, show (f.val * f.inv) x = x, by {rw f.val_inv, simp}, },
continuous_to_fun := f.val.continuous,
continuous_inv_fun := f.inv.continuous }
/-- A continuous equivalence from `E` to itself determines an invertible continuous linear map. -/
def to_unit (f : (E ≃L[𝕜] E)) : units (E →L[𝕜] E) :=
{ val := f,
inv := f.symm,
val_inv := by {ext, simp},
inv_val := by {ext, simp} }
variables (𝕜 E)
/-- The units of the algebra of continuous `𝕜`-linear endomorphisms of `E` is multiplicatively
equivalent to the type of continuous linear equivalences between `E` and itself. -/
def units_equiv : units (E →L[𝕜] E) ≃* (E ≃L[𝕜] E) :=
{ to_fun := of_unit,
inv_fun := to_unit,
left_inv := λ f, by {ext, refl},
right_inv := λ f, by {ext, refl},
map_mul' := λ x y, by {ext, refl} }
@[simp] lemma units_equiv_to_continuous_linear_map
(f : units (E →L[𝕜] E)) :
(units_equiv 𝕜 E f : E →L[𝕜] E) = f := by {ext, refl}
end continuous_linear_equiv
lemma linear_equiv.uniform_embedding (e : E ≃ₗ[𝕜] F) (h₁ : continuous e) (h₂ : continuous e.symm) :
uniform_embedding e :=
continuous_linear_equiv.uniform_embedding
{ continuous_to_fun := h₁,
continuous_inv_fun := h₂,
.. e }
namespace continuous_linear_map
variables (𝕜) (𝕜' : Type*) [normed_ring 𝕜'] [normed_algebra 𝕜 𝕜']
@[simp] lemma lmul_left_norm (v : 𝕜') : ∥lmul_left 𝕜 𝕜' v∥ = ∥v∥ :=
begin
refine le_antisymm _ _,
{ exact linear_map.mk_continuous_norm_le _ (norm_nonneg v) _ },
{ simpa [@normed_algebra.norm_one 𝕜 _ 𝕜' _ _] using le_op_norm (lmul_left 𝕜 𝕜' v) (1:𝕜') }
end
@[simp] lemma lmul_right_norm (v : 𝕜') : ∥lmul_right 𝕜 𝕜' v∥ = ∥v∥ :=
begin
refine le_antisymm _ _,
{ exact linear_map.mk_continuous_norm_le _ (norm_nonneg v) _ },
{ simpa [@normed_algebra.norm_one 𝕜 _ 𝕜' _ _] using le_op_norm (lmul_right 𝕜 𝕜' v) (1:𝕜') }
end
lemma lmul_left_right_norm_le (vw : 𝕜' × 𝕜') :
∥lmul_left_right 𝕜 𝕜' vw∥ ≤ ∥vw.1∥ * ∥vw.2∥ :=
by simpa [mul_comm] using op_norm_comp_le (lmul_right 𝕜 𝕜' vw.2) (lmul_left 𝕜 𝕜' vw.1)
end continuous_linear_map
|
f89093d325ce94bc24f44789b11f206c06101677 | 4fa161becb8ce7378a709f5992a594764699e268 | /src/linear_algebra/affine_space.lean | 0c8896a0c7a5024cf03833cb96ac75d695bc00d6 | [
"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 | 27,751 | lean | /-
Copyright (c) 2020 Joseph Myers. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Author: Joseph Myers.
-/
import algebra.add_torsor
import linear_algebra.basis
noncomputable theory
open_locale big_operators
/-!
# Affine spaces
This file defines affine spaces (over modules) and subspaces, affine
maps, affine combinations of points, and the affine span of a set of
points.
## Implementation notes
This file is very minimal and many things are surely omitted. Most
results can be deduced from corresponding results for modules or
vector spaces. The variables `k` and `V` are explicit rather than
implicit arguments to lemmas because otherwise the elaborator
sometimes has problems inferring appropriate types and type class
instances. Definitions of affine spaces vary as to whether a space
with no points is permitted; here, we require a nonempty type of
points (via the definition of torsors requiring a nonempty type).
## References
* https://en.wikipedia.org/wiki/Affine_space
* https://en.wikipedia.org/wiki/Principal_homogeneous_space
-/
/-- `affine_space` is an abbreviation for `add_torsor` in the case
where the group is a vector space, or more generally a module, but we
omit the type classes `[ring k]` and `[module k V]` in the type
synonym itself to simplify type class search.. -/
@[nolint unused_arguments]
abbreviation affine_space (k : Type*) (V : Type*) (P : Type*) [add_comm_group V] :=
add_torsor V P
namespace affine_space
open add_action
open add_torsor
variables (k : Type*) (V : Type*) {P : Type*} [ring k] [add_comm_group V] [module k V]
variables [S : affine_space k V P]
include S
/-- The submodule spanning the differences of a (possibly empty) set
of points. -/
def vector_span (s : set P) : submodule k V := submodule.span k (vsub_set V s)
/-- The points in the affine span of a (possibly empty) set of
points. Use `affine_span` instead to get an `affine_subspace k V P`,
if the set of points is known to be nonempty. -/
def span_points (s : set P) : set P :=
{p | ∃ p1 ∈ s, ∃ v ∈ (vector_span k V s), p = v +ᵥ p1}
/-- A point in a set is in its affine span. -/
lemma mem_span_points (p : P) (s : set P) : p ∈ s → p ∈ span_points k V s
| hp := ⟨p, hp, 0, submodule.zero_mem _, (zero_vadd V p).symm⟩
/-- The set of points in the affine span of a nonempty set of points
is nonempty. -/
lemma span_points_nonempty_of_nonempty {s : set P} :
s.nonempty → (span_points k V s).nonempty
| ⟨p, hp⟩ := ⟨p, mem_span_points k V p s hp⟩
/-- Adding a point in the affine span and a vector in the spanning
submodule produces a point in the affine span. -/
lemma vadd_mem_span_points_of_mem_span_points_of_mem_vector_span {s : set P} {p : P} {v : V}
(hp : p ∈ span_points k V s) (hv : v ∈ vector_span k V s) : v +ᵥ p ∈ span_points k V s :=
begin
rcases hp with ⟨p2, ⟨hp2, ⟨v2, ⟨hv2, hv2p⟩⟩⟩⟩,
rw [hv2p, vadd_assoc],
use [p2, hp2, v + v2, (vector_span k V s).add_mem hv hv2, rfl]
end
/-- Subtracting two points in the affine span produces a vector in the
spanning submodule. -/
lemma vsub_mem_vector_span_of_mem_span_points_of_mem_span_points {s : set P} {p1 p2 : P}
(hp1 : p1 ∈ span_points k V s) (hp2 : p2 ∈ span_points k V s) :
p1 -ᵥ p2 ∈ vector_span k V s :=
begin
rcases hp1 with ⟨p1a, ⟨hp1a, ⟨v1, ⟨hv1, hv1p⟩⟩⟩⟩,
rcases hp2 with ⟨p2a, ⟨hp2a, ⟨v2, ⟨hv2, hv2p⟩⟩⟩⟩,
rw [hv1p, hv2p, vsub_vadd_eq_vsub_sub V (v1 +ᵥ p1a), vadd_vsub_assoc, add_comm, add_sub_assoc],
have hv1v2 : v1 - v2 ∈ vector_span k V s,
{ apply (vector_span k V s).add_mem hv1,
rw ←neg_one_smul k v2,
exact (vector_span k V s).smul_mem (-1 : k) hv2 },
refine (vector_span k V s).add_mem _ hv1v2,
unfold vector_span,
change p1a -ᵥ p2a ∈ submodule.span k (vsub_set V s),
have hp1p2 : p1a -ᵥ p2a ∈ vsub_set V s, { use [p1a, hp1a, p2a, hp2a] },
have hp1p2s : vsub_set V s ⊆ submodule.span k (vsub_set V s) := submodule.subset_span,
apply set.mem_of_mem_of_subset hp1p2 hp1p2s
end
end affine_space
namespace finset
open add_action
open add_torsor
variables {k : Type*} (V : Type*) {P : Type*} [ring k] [add_comm_group V] [module k V]
variables [S : affine_space k V P]
include S
variables {ι : Type*} (s : finset ι)
/-- A weighted sum of the results of subtracting a base point from the
given points, as a linear map on the weights. The main cases of
interest are where the sum of the weights is 0, in which case the sum
is independent of the choice of base point, and where the sum of the
weights is 1, in which case the sum added to the base point is
independent of the choice of base point. -/
def weighted_vsub_of_point (p : ι → P) (b : P) : (ι → k) →ₗ[k] V :=
∑ i in s, (linear_map.proj i : (ι → k) →ₗ[k] k).smul_right (p i -ᵥ b)
@[simp] lemma weighted_vsub_of_point_apply (w : ι → k) (p : ι → P) (b : P) :
s.weighted_vsub_of_point V p b w = ∑ i in s, w i • (p i -ᵥ b) :=
by simp [weighted_vsub_of_point, linear_map.sum_apply]
/-- The weighted sum is independent of the base point when the sum of
the weights is 0. -/
lemma weighted_vsub_of_point_eq_of_sum_eq_zero (w : ι → k) (p : ι → P) (h : ∑ i in s, w i = 0)
(b₁ b₂ : P) : s.weighted_vsub_of_point V p b₁ w = s.weighted_vsub_of_point V p b₂ w :=
begin
apply eq_of_sub_eq_zero,
rw [weighted_vsub_of_point_apply, weighted_vsub_of_point_apply, ←finset.sum_sub_distrib],
conv_lhs {
congr,
skip,
funext,
rw [←smul_sub, vsub_sub_vsub_cancel_left]
},
rw [←finset.sum_smul, h, zero_smul]
end
/-- The weighted sum, added to the base point, is independent of the
base point when the sum of the weights is 1. -/
lemma weighted_vsub_of_point_vadd_eq_of_sum_eq_one (w : ι → k) (p : ι → P) (h : ∑ i in s, w i = 1)
(b₁ b₂ : P) :
s.weighted_vsub_of_point V p b₁ w +ᵥ b₁ = s.weighted_vsub_of_point V p b₂ w +ᵥ b₂ :=
begin
erw [weighted_vsub_of_point_apply, weighted_vsub_of_point_apply, ←vsub_eq_zero_iff_eq V,
vadd_vsub_assoc, vsub_vadd_eq_vsub_sub, ←add_sub_assoc, add_comm, add_sub_assoc,
←finset.sum_sub_distrib],
conv_lhs {
congr,
skip,
congr,
skip,
funext,
rw [←smul_sub, vsub_sub_vsub_cancel_left]
},
rw [←finset.sum_smul, h, one_smul, vsub_add_vsub_cancel, vsub_self]
end
/-- A weighted sum of the results of subtracting a default base point
from the given points, as a linear map on the weights. This is
intended to be used when the sum of the weights is 0; that condition
is specified as a hypothesis on those lemmas that require it. -/
def weighted_vsub (p : ι → P) : (ι → k) →ₗ[k] V :=
s.weighted_vsub_of_point V p (classical.choice S.nonempty)
/-- `weighted_vsub` gives the sum of the results of subtracting any
base point, when the sum of the weights is 0. -/
lemma weighted_vsub_eq_weighted_vsub_of_point_of_sum_eq_zero (w : ι → k) (p : ι → P)
(h : ∑ i in s, w i = 0) (b : P) : s.weighted_vsub V p w = s.weighted_vsub_of_point V p b w :=
s.weighted_vsub_of_point_eq_of_sum_eq_zero V w p h _ _
/-- A weighted sum of the results of subtracting a default base point
from the given points, added to that base point. This is intended to
be used when the sum of the weights is 1, in which case it is an
affine combination (barycenter) of the points with the given weights;
that condition is specified as a hypothesis on those lemmas that
require it. -/
def affine_combination (w : ι → k) (p : ι → P) : P :=
s.weighted_vsub_of_point V p (classical.choice S.nonempty) w +ᵥ (classical.choice S.nonempty)
/-- `affine_combination` gives the sum with any base point, when the
sum of the weights is 1. -/
lemma affine_combination_eq_weighted_vsub_of_point_vadd_of_sum_eq_one (w : ι → k) (p : ι → P)
(h : ∑ i in s, w i = 1) (b : P) :
s.affine_combination V w p = s.weighted_vsub_of_point V p b w +ᵥ b :=
s.weighted_vsub_of_point_vadd_eq_of_sum_eq_one V w p h _ _
/-- Adding a `weighted_vsub` to an `affine_combination`. -/
lemma weighted_vsub_vadd_affine_combination (w₁ w₂ : ι → k) (p : ι → P) :
s.weighted_vsub V p w₁ +ᵥ s.affine_combination V w₂ p = s.affine_combination V (w₁ + w₂) p :=
begin
erw vadd_assoc,
congr,
exact (linear_map.map_add _ _ _).symm
end
/-- Subtracting two `affine_combination`s. -/
lemma affine_combination_vsub (w₁ w₂ : ι → k) (p : ι → P) :
s.affine_combination V w₁ p -ᵥ s.affine_combination V w₂ p = s.weighted_vsub V p (w₁ - w₂) :=
begin
erw vadd_vsub_vadd_cancel_right,
exact (linear_map.map_sub _ _ _).symm
end
end finset
open add_torsor affine_space
/-- An `affine_subspace k V P` is a subset of an `affine_space k V P`
that has an affine space structure induced by a corresponding subspace
of the `module k V`. -/
structure affine_subspace (k : Type*) (V : Type*) (P : Type*) [ring k] [add_comm_group V]
[module k V] [affine_space k V P] :=
(carrier : set P)
(direction : submodule k V)
(nonempty : carrier.nonempty)
(add : ∀ (p : P) (v : V), p ∈ carrier → v ∈ direction → v +ᵥ p ∈ carrier)
(sub : ∀ (p1 p2 : P), p1 ∈ carrier → p2 ∈ carrier → p1 -ᵥ p2 ∈ direction)
namespace affine_subspace
variables (k : Type*) (V : Type*) (P : Type*) [ring k] [add_comm_group V] [module k V]
[S : affine_space k V P]
include S
instance : has_coe (affine_subspace k V P) (set P) := ⟨carrier⟩
instance : has_mem P (affine_subspace k V P) := ⟨λ p s, p ∈ (s : set P)⟩
/-- A point is in an affine subspace coerced to a set if and only if
it is in that affine subspace. -/
@[simp] lemma mem_coe (p : P) (s : affine_subspace k V P) :
p ∈ (s : set P) ↔ p ∈ s :=
iff.rfl
/-- The whole affine space as a subspace of itself. -/
def univ : affine_subspace k V P :=
{ carrier := set.univ,
direction := submodule.span k set.univ,
nonempty := set.nonempty_iff_univ_nonempty.1 S.nonempty,
add := λ p v hp hv, set.mem_univ _,
sub := begin
intros p1 p2 hp1 hp2,
apply set.mem_bInter,
intros x hx,
rw set.mem_set_of_eq at hx,
exact set.mem_of_mem_of_subset (set.mem_univ _) hx
end }
/-- `univ`, coerced to a set, is the whole set of points. -/
@[simp] lemma univ_coe : (univ k V P : set P) = set.univ :=
rfl
/-- All points are in `univ`. -/
lemma mem_univ (p : P) : p ∈ univ k V P :=
set.mem_univ p
instance : inhabited (affine_subspace k V P) := ⟨univ k V P⟩
variables {k V P}
/-- Two affine subspaces are equal if they have the same points. -/
@[ext] lemma ext {s1 s2 : affine_subspace k V P} (h : (s1 : set P) = s2) : s1 = s2 :=
begin
cases s1,
cases s2,
change s1_carrier = s2_carrier at h,
congr,
{ exact h },
{ ext v,
split,
{ intro hv,
have hm := s1_nonempty.some_mem,
have hvp := s1_add s1_nonempty.some v hm hv,
conv_rhs at hm { rw h },
conv_rhs at hvp { rw h },
rw ←vadd_vsub V v s1_nonempty.some,
exact s2_sub _ _ hvp hm },
{ intro hv,
have hm := s2_nonempty.some_mem,
have hvp := s2_add s2_nonempty.some v hm hv,
conv_rhs at hm { rw ←h },
conv_rhs at hvp { rw ←h },
rw ←vadd_vsub V v s2_nonempty.some,
exact s1_sub _ _ hvp hm } }
end
/-- Two affine subspaces with the same direction and nonempty
intersection are equal. -/
lemma ext_of_direction_eq {s1 s2 : affine_subspace k V P} (hd : s1.direction = s2.direction)
(hn : ((s1 : set P) ∩ s2).nonempty) : s1 = s2 :=
begin
ext p,
have hq1 := set.mem_of_mem_inter_left hn.some_mem,
have hq2 := set.mem_of_mem_inter_right hn.some_mem,
split,
{ intro hp,
rw ←vsub_vadd V p hn.some,
refine s2.add _ _ hq2 _,
rw ←hd,
exact s1.sub _ _ hp hq1 },
{ intro hp,
rw ←vsub_vadd V p hn.some,
refine s1.add _ _ hq1 _,
rw hd,
exact s2.sub _ _ hp hq2 }
end
/-- Construct an affine subspace from a point and a direction. -/
def mk_of_point_of_direction (p : P) (direction : submodule k V) : affine_subspace k V P :=
{ carrier := {q | ∃ v ∈ direction, q = v +ᵥ p},
direction := direction,
nonempty := ⟨p, ⟨0, ⟨direction.zero_mem, (add_action.zero_vadd _ _).symm⟩⟩⟩,
add := λ p2 v hp2 hv, begin
rcases hp2 with ⟨v2, hv2, hp2⟩,
use [v + v2, direction.add_mem hv hv2],
rw [←add_action.vadd_assoc, hp2]
end,
sub := λ p1 p2 hp1 hp2, begin
rcases hp1 with ⟨v1, hv1, hp1⟩,
rcases hp2 with ⟨v2, hv2, hp2⟩,
rw [hp1, hp2, vadd_vsub_vadd_cancel_right],
exact direction.sub_mem hv1 hv2
end }
/-- The direction of an affine space constructed from a point and a
direction. -/
@[simp] lemma direction_mk_of_point_of_direction (p : P) (direction : submodule k V) :
(mk_of_point_of_direction p direction).direction = direction :=
rfl
/-- An affine space constructed from a point and a direction contains
that point. -/
lemma mem_mk_of_point_of_direction (p : P) (direction : submodule k V) :
p ∈ mk_of_point_of_direction p direction :=
⟨0, ⟨direction.zero_mem, (add_action.zero_vadd _ _).symm⟩⟩
/-- Constructing an affine subspace from a point in a subspace and
that subspace's direction yields the original subspace. -/
@[simp] lemma mk_of_point_of_direction_eq {s : affine_subspace k V P} {p : P} (hp : p ∈ s) :
mk_of_point_of_direction p s.direction = s :=
ext_of_direction_eq rfl ⟨p, set.mem_inter (mem_mk_of_point_of_direction _ _) hp⟩
end affine_subspace
section affine_span
variables (k : Type*) (V : Type*) (P : Type*) [ring k] [add_comm_group V] [module k V]
[affine_space k V P]
/-- The affine span of a nonempty set of points is the smallest affine
subspace containing those points. (Actually defined here in terms of
spans in modules.) -/
def affine_span (s : set P) (h : s.nonempty) : affine_subspace k V P :=
{ carrier := span_points k V s,
direction := vector_span k V s,
nonempty := span_points_nonempty_of_nonempty k V h,
add := λ p v hp hv, vadd_mem_span_points_of_mem_span_points_of_mem_vector_span k V hp hv,
sub := λ p1 p2 hp1 hp2, vsub_mem_vector_span_of_mem_span_points_of_mem_span_points k V hp1 hp2 }
/-- The affine span, converted to a set, is `span_points`. -/
@[simp] lemma affine_span_coe (s : set P) (h : s.nonempty) :
(affine_span k V P s h : set P) = span_points k V s :=
rfl
/-- A point in a set is in its affine span. -/
lemma affine_span_mem (p : P) (s : set P) (hp : p ∈ s) : p ∈ affine_span k V P s ⟨p, hp⟩ :=
mem_span_points k V p s hp
end affine_span
/-- An `affine_map k V1 P1 V2 P2` is a map from `P1` to `P2` that
induces a corresponding linear map from `V1` to `V2`. -/
structure affine_map (k : Type*) (V1 : Type*) (P1 : Type*) (V2 : Type*) (P2 : Type*)
[ring k]
[add_comm_group V1] [module k V1] [affine_space k V1 P1]
[add_comm_group V2] [module k V2] [affine_space k V2 P2] :=
(to_fun : P1 → P2)
(linear : linear_map k V1 V2)
(map_vadd' : ∀ (p : P1) (v : V1), to_fun (v +ᵥ p) = linear v +ᵥ to_fun p)
namespace affine_map
variables {k : Type*} {V1 : Type*} {P1 : Type*} {V2 : Type*} {P2 : Type*}
{V3 : Type*} {P3 : Type*} {V4 : Type*} {P4 : Type*} [ring k]
[add_comm_group V1] [module k V1] [affine_space k V1 P1]
[add_comm_group V2] [module k V2] [affine_space k V2 P2]
[add_comm_group V3] [module k V3] [affine_space k V3 P3]
[add_comm_group V4] [module k V4] [affine_space k V4 P4]
instance: has_coe_to_fun (affine_map k V1 P1 V2 P2) := ⟨_, to_fun⟩
/-- Constructing an affine map and coercing back to a function
produces the same map. -/
@[simp] lemma coe_mk (f : P1 → P2) (linear add) :
((mk f linear add : affine_map k V1 P1 V2 P2) : P1 → P2) = f := rfl
/-- `to_fun` is the same as the result of coercing to a function. -/
@[simp] lemma to_fun_eq_coe (f : affine_map k V1 P1 V2 P2) : f.to_fun = ⇑f := rfl
/-- An affine map on the result of adding a vector to a point produces
the same result as the linear map applied to that vector, added to the
affine map applied to that point. -/
@[simp] lemma map_vadd (f : affine_map k V1 P1 V2 P2) (p : P1) (v : V1) :
f (v +ᵥ p) = f.linear v +ᵥ f p := f.map_vadd' p v
/-- The linear map on the result of subtracting two points is the
result of subtracting the result of the affine map on those two
points. -/
@[simp] lemma linear_map_vsub (f : affine_map k V1 P1 V2 P2) (p1 p2 : P1) :
f.linear (p1 -ᵥ p2) = f p1 -ᵥ f p2 :=
by conv_rhs { rw [←vsub_vadd V1 p1 p2, map_vadd, vadd_vsub] }
/-- Two affine maps are equal if they coerce to the same function. -/
@[ext] lemma ext {f g : affine_map k V1 P1 V2 P2} (h : ∀ p, f p = g p) : f = g :=
begin
rcases f with ⟨f, f_linear, f_add⟩,
rcases g with ⟨g, g_linear, g_add⟩,
have : f = g := funext h,
subst g,
congr',
ext v,
cases (add_torsor.nonempty V1 : nonempty P1) with p,
apply vadd_right_cancel (f p),
erw [← f_add, ← g_add]
end
lemma ext_iff {f g : affine_map k V1 P1 V2 P2} : f = g ↔ ∀ p, f p = g p := ⟨λ h p, h ▸ rfl, ext⟩
variables (k V1 P1 V2)
/-- Constant function as an `affine_map`. -/
def const (p : P2) : affine_map k V1 P1 V2 P2 :=
{ to_fun := function.const P1 p,
linear := 0,
map_vadd' := λ p v, by simp }
@[simp] lemma coe_const (p : P2) : ⇑(const k V1 P1 V2 p) = function.const P1 p := rfl
@[simp] lemma const_linear (p : P2) : (const k V1 P1 V2 p).linear = 0 := rfl
variables {k V1 P1 V2}
instance nonempty : nonempty (affine_map k V1 P1 V2 P2) :=
⟨const k V1 P1 V2 (classical.choice $ add_torsor.nonempty V2)⟩
/-- Construct an affine map by verifying the relation between the map and its linear part at one
base point. Namely, this function takes a map `f : P₁ → P₂`, a linear map `f' : V₁ →ₗ[k] V₂`, and
a point `p` such that for any other point `p'` we have `f p' = f' (p' -ᵥ p) +ᵥ f p`. -/
def mk' (f : P1 → P2) (f' : V1 →ₗ[k] V2) (p : P1) (h : ∀ p' : P1, f p' = f' (p' -ᵥ p) +ᵥ f p) :
affine_map k V1 P1 V2 P2 :=
{ to_fun := f,
linear := f',
map_vadd' := λ p' v, by rw [h, h p', vadd_vsub_assoc, f'.map_add, add_action.vadd_assoc] }
@[simp] lemma coe_mk' (f : P1 → P2) (f' : V1 →ₗ[k] V2) (p h) : ⇑(mk' f f' p h) = f := rfl
@[simp] lemma mk'_linear (f : P1 → P2) (f' : V1 →ₗ[k] V2) (p h) : (mk' f f' p h).linear = f' := rfl
/-- The set of affine maps to a vector space is an additive commutative group. -/
instance : add_comm_group (affine_map k V1 P1 V2 V2) :=
{ zero := ⟨0, 0, λ p v, (add_action.zero_vadd _ _).symm⟩,
add := λ f g, ⟨f + g, f.linear + g.linear, λ p v, by simp [add_add_add_comm]⟩,
neg := λ f, ⟨-f, -f.linear, λ p v, by simp [add_comm]⟩,
add_assoc := λ f₁ f₂ f₃, ext $ λ p, add_assoc _ _ _,
zero_add := λ f, ext $ λ p, zero_add (f p),
add_zero := λ f, ext $ λ p, add_zero (f p),
add_comm := λ f g, ext $ λ p, add_comm (f p) (g p),
add_left_neg := λ f, ext $ λ p, add_left_neg (f p) }
@[simp, norm_cast] lemma coe_zero : ⇑(0 : affine_map k V1 P1 V2 V2) = 0 := rfl
@[simp] lemma zero_linear : (0 : affine_map k V1 P1 V2 V2).linear = 0 := rfl
@[simp, norm_cast] lemma coe_add (f g : affine_map k V1 P1 V2 V2) : ⇑(f + g) = f + g := rfl
@[simp]
lemma add_linear (f g : affine_map k V1 P1 V2 V2) : (f + g).linear = f.linear + g.linear := rfl
/-- The space of affine maps from `P1` to `P2` is an affine space over the space of affine spaces
from `P1` to the vector `V2` corresponding to `P2`. -/
instance : affine_space k (affine_map k V1 P1 V2 V2) (affine_map k V1 P1 V2 P2) :=
{ vadd := λ f g, ⟨λ p, f p +ᵥ g p, f.linear + g.linear, λ p v,
by simp [add_action.vadd_assoc, add_right_comm]⟩,
zero_vadd' := λ f, ext $ λ p, add_action.zero_vadd _ (f p),
vadd_assoc' := λ f₁ f₂ f₃, ext $ λ p, add_action.vadd_assoc V2 (f₁ p) (f₂ p) (f₃ p),
vsub := λ f g, ⟨λ p, f p -ᵥ g p, f.linear - g.linear, λ p v,
by simp [vsub_vadd_eq_vsub_sub, vadd_vsub_assoc, add_sub, sub_add_eq_add_sub]⟩,
vsub_vadd' := λ f g, ext $ λ p, vsub_vadd V2 (f p) (g p),
vadd_vsub' := λ f g, ext $ λ p, vadd_vsub V2 (f p) (g p) }
@[simp] lemma vadd_apply (f : affine_map k V1 P1 V2 V2) (g : affine_map k V1 P1 V2 P2) (p : P1) :
(f +ᵥ g) p = f p +ᵥ g p :=
rfl
@[simp] lemma vsub_apply (f g : affine_map k V1 P1 V2 P2) (p : P1) :
(f -ᵥ g : affine_map k V1 P1 V2 V2) p = f p -ᵥ g p :=
rfl
variables (k V1 P1)
/-- Identity map as an affine map. -/
def id : affine_map k V1 P1 V1 P1 :=
{ to_fun := id,
linear := linear_map.id,
map_vadd' := λ p v, rfl }
/-- The identity affine map acts as the identity. -/
@[simp] lemma coe_id : ⇑(id k V1 P1) = _root_.id := rfl
@[simp] lemma id_linear : (id k V1 P1).linear = linear_map.id := rfl
variable {P1}
/-- The identity affine map acts as the identity. -/
lemma id_apply (p : P1) : id k V1 P1 p = p := rfl
variables {k V1 P1 V2}
instance : inhabited (affine_map k V1 P1 V1 P1) := ⟨id k V1 P1⟩
/-- Composition of affine maps. -/
def comp (f : affine_map k V2 P2 V3 P3) (g : affine_map k V1 P1 V2 P2) :
affine_map k V1 P1 V3 P3 :=
{ to_fun := f ∘ g,
linear := f.linear.comp g.linear,
map_vadd' := begin
intros p v,
rw [function.comp_app, g.map_vadd, f.map_vadd],
refl
end }
/-- Composition of affine maps acts as applying the two functions. -/
@[simp] lemma coe_comp (f : affine_map k V2 P2 V3 P3) (g : affine_map k V1 P1 V2 P2) :
⇑(f.comp g) = f ∘ g := rfl
/-- Composition of affine maps acts as applying the two functions. -/
lemma comp_apply (f : affine_map k V2 P2 V3 P3) (g : affine_map k V1 P1 V2 P2) (p : P1) :
f.comp g p = f (g p) := rfl
@[simp] lemma comp_id (f : affine_map k V1 P1 V2 P2) : f.comp (id k V1 P1) = f := ext $ λ p, rfl
@[simp] lemma id_comp (f : affine_map k V1 P1 V2 P2) : (id k V2 P2).comp f = f := ext $ λ p, rfl
lemma comp_assoc (f₃₄ : affine_map k V3 P3 V4 P4) (f₂₃ : affine_map k V2 P2 V3 P3)
(f₁₂ : affine_map k V1 P1 V2 P2) :
(f₃₄.comp f₂₃).comp f₁₂ = f₃₄.comp (f₂₃.comp f₁₂) :=
rfl
instance : monoid (affine_map k V1 P1 V1 P1) :=
{ one := id k V1 P1,
mul := comp,
one_mul := id_comp,
mul_one := comp_id,
mul_assoc := comp_assoc }
@[simp] lemma coe_mul (f g : affine_map k V1 P1 V1 P1) : ⇑(f * g) = f ∘ g := rfl
@[simp] lemma coe_one : ⇑(1 : affine_map k V1 P1 V1 P1) = _root_.id := rfl
/-- The affine map from `k` to `P1` sending `0` to `p` and `1` to `v +ᵥ p`. -/
def line_map (p : P1) (v : V1) : affine_map k k k V1 P1 :=
{ to_fun := λ c, c • v +ᵥ p,
linear := linear_map.id.smul_right v,
map_vadd' := λ a b, by simp [add_smul, add_action.vadd_assoc] }
lemma line_map_apply (p : P1) (v : V1) (c : k) : line_map p v c = c • v +ᵥ p := rfl
@[simp] lemma line_map_linear (p : P1) (v : V1) :
(line_map p v : affine_map k k k V1 P1).linear = linear_map.id.smul_right v :=
rfl
@[simp] lemma line_map_zero (p : P1) : line_map p (0:V1) = const k k k V1 p :=
by { ext c, simp [line_map_apply] }
@[simp] lemma line_map_apply_zero (p : P1) (v : V1) : line_map p v (0:k) = p :=
by simp [line_map_apply]
@[simp] lemma affine_apply_line_map (f : affine_map k V1 P1 V2 P2) (p : P1) (v : V1) (c : k) :
f (line_map p v c) = line_map (f p) (f.linear v) c :=
by simp [line_map_apply]
@[simp] lemma affine_comp_line_map (f : affine_map k V1 P1 V2 P2) (p : P1) (v : V1) :
f.comp (line_map p v) = line_map (f p) (f.linear v) :=
ext $ f.affine_apply_line_map p v
lemma line_map_vadd_neg (p : P1) (v : V1) :
line_map (v +ᵥ p) (-v) = (line_map p v).comp (line_map (1:k) (-1:k)) :=
by { rw [affine_comp_line_map], simp [line_map_apply] }
end affine_map
namespace affine_map
variables {k : Type*} {V1 : Type*} {P1 : Type*} {V2 : Type*} [comm_ring k]
[add_comm_group V1] [module k V1] [affine_space k V1 P1] [add_comm_group V2] [module k V2]
/-- If `k` is a commutative ring, then the set of affine maps with codomain in a `k`-module
is a `k`-module. -/
instance : module k (affine_map k V1 P1 V2 V2) :=
{ smul := λ c f, ⟨c • f, c • f.linear, λ p v, by simp [smul_add]⟩,
one_smul := λ f, ext $ λ p, one_smul _ _,
mul_smul := λ c₁ c₂ f, ext $ λ p, mul_smul _ _ _,
smul_add := λ c f g, ext $ λ p, smul_add _ _ _,
smul_zero := λ c, ext $ λ p, smul_zero _,
add_smul := λ c₁ c₂ f, ext $ λ p, add_smul _ _ _,
zero_smul := λ f, ext $ λ p, zero_smul _ _ }
@[simp] lemma coe_smul (c : k) (f : affine_map k V1 P1 V2 V2) : ⇑(c • f) = c • f := rfl
variable (V1)
/-- `homothety V c r` is the homothety about `c` with scale factor `r`. -/
def homothety (c : P1) (r : k) : affine_map k V1 P1 V1 P1 :=
r • (id k V1 P1 -ᵥ const k V1 P1 V1 c : affine_map k V1 P1 V1 V1) +ᵥ const k V1 P1 V1 c
lemma homothety_def (c : P1) (r : k) :
homothety V1 c r = r • (id k V1 P1 -ᵥ const k V1 P1 V1 c : affine_map k V1 P1 V1 V1) +ᵥ
const k V1 P1 V1 c :=
rfl
lemma homothety_apply (c : P1) (r : k) (p : P1) :
homothety V1 c r p = r • (p -ᵥ c : V1) +ᵥ c := rfl
@[simp] lemma homothety_one (c : P1) : homothety V1 c (1:k) = id k V1 P1 :=
by { ext p, simp [homothety_apply] }
lemma homothety_mul (c : P1) (r₁ r₂ : k) :
homothety V1 c (r₁ * r₂) = (homothety V1 c r₁).comp (homothety V1 c r₂) :=
by { ext p, simp [homothety_apply, mul_smul] }
@[simp] lemma homothety_zero (c : P1) : homothety V1 c (0:k) = const k V1 P1 V1 c :=
by { ext p, simp [homothety_apply] }
@[simp] lemma homothety_add (c : P1) (r₁ r₂ : k) :
homothety V1 c (r₁ + r₂) =
r₁ • (id k V1 P1 -ᵥ const k V1 P1 V1 c : affine_map k V1 P1 V1 V1) +ᵥ homothety V1 c r₂ :=
by simp only [homothety_def, add_smul, add_action.vadd_assoc]
/-- `homothety` as a multiplicative monoid homomorphism. -/
def homothety_hom (c : P1) : k →* affine_map k V1 P1 V1 P1 :=
⟨homothety V1 c, homothety_one V1 c, homothety_mul V1 c⟩
@[simp] lemma coe_homothety_hom (c : P1) : ⇑(homothety_hom V1 c : k →* _) = homothety V1 c := rfl
/-- `homothety` as an affine map. -/
def homothety_affine (c : P1) :
affine_map k k k (affine_map k V1 P1 V1 V1) (affine_map k V1 P1 V1 P1) :=
⟨homothety V1 c, (linear_map.lsmul k _).flip (id k V1 P1 -ᵥ const k V1 P1 V1 c),
function.swap (homothety_add V1 c)⟩
@[simp] lemma coe_homothety_affine (c : P1) :
⇑(homothety_affine V1 c : affine_map k k k _ _) = homothety V1 c :=
rfl
end affine_map
namespace affine_map
variables {k : Type*} (V : Type*) (P : Type*) [comm_ring k] [add_comm_group V] [module k V]
variables [affine_space k V P] {ι : Type*} (s : finset ι)
-- TODO: define `affine_map.proj`, `affine_map.fst`, `affine_map.snd`
/-- A weighted sum, as an affine map on the points involved. -/
def weighted_vsub_of_point (w : ι → k) : affine_map k ((ι → V) × V) ((ι → P) × P) V V :=
{ to_fun := λ p, s.weighted_vsub_of_point _ p.fst p.snd w,
linear := ∑ i in s,
w i • ((linear_map.proj i).comp (linear_map.fst _ _ _) - linear_map.snd _ _ _),
map_vadd' := begin
rintros ⟨p, b⟩ ⟨v, b'⟩,
simp [linear_map.sum_apply, finset.weighted_vsub_of_point, vsub_vadd_eq_vsub_sub,
vadd_vsub_assoc, add_sub, ← sub_add_eq_add_sub, smul_add, finset.sum_add_distrib]
end }
end affine_map
namespace linear_map
variables {k : Type*} {V₁ : Type*} {V₂ : Type*} [ring k] [add_comm_group V₁] [module k V₁]
[add_comm_group V₂] [module k V₂] (f : V₁ →ₗ[k] V₂)
/-- Reinterpret a linear map as an affine map. -/
def to_affine_map : affine_map k V₁ V₁ V₂ V₂ :=
{ to_fun := f,
linear := f,
map_vadd' := λ p v, f.map_add v p }
@[simp] lemma coe_to_affine_map : ⇑f.to_affine_map = f := rfl
@[simp] lemma to_affine_map_linear : f.to_affine_map.linear = f := rfl
end linear_map
|
f99da1e762a208b6c4f6770a6661e72380b62460 | bbecf0f1968d1fba4124103e4f6b55251d08e9c4 | /src/data/mv_polynomial/pderiv.lean | 3abc1097912dab97f46e82d094612c1e62c1b462 | [
"Apache-2.0"
] | permissive | waynemunro/mathlib | e3fd4ff49f4cb43d4a8ded59d17be407bc5ee552 | 065a70810b5480d584033f7bbf8e0409480c2118 | refs/heads/master | 1,693,417,182,397 | 1,634,644,781,000 | 1,634,644,781,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 5,458 | lean | /-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Shing Tak Lam
-/
import data.mv_polynomial.variables
import algebra.module.basic
import tactic.ring
/-!
# Partial derivatives of polynomials
This file defines the notion of the formal *partial derivative* of a polynomial,
the derivative with respect to a single variable.
This derivative is not connected to the notion of derivative from analysis.
It is based purely on the polynomial exponents and coefficients.
## Main declarations
* `mv_polynomial.pderiv i p` : the partial derivative of `p` with respect to `i`.
## Notation
As in other polynomial files, we typically use the notation:
+ `σ : Type*` (indexing the variables)
+ `R : Type*` `[comm_ring R]` (the coefficients)
+ `s : σ →₀ ℕ`, a function from `σ` to `ℕ` which is zero away from a finite set.
This will give rise to a monomial in `mv_polynomial σ R` which mathematicians might call `X^s`
+ `a : R`
+ `i : σ`, with corresponding monomial `X i`, often denoted `X_i` by mathematicians
+ `p : mv_polynomial σ R`
-/
noncomputable theory
open_locale classical big_operators
open set function finsupp add_monoid_algebra
open_locale big_operators
universes u
variables {R : Type u}
namespace mv_polynomial
variables {σ : Type*} {a a' a₁ a₂ : R} {s : σ →₀ ℕ}
section pderiv
variables {R} [comm_semiring R]
/-- `pderiv i p` is the partial derivative of `p` with respect to `i` -/
def pderiv (i : σ) : mv_polynomial σ R →ₗ[R] mv_polynomial σ R :=
{ to_fun := λ p, p.sum (λ A B, monomial (A - single i 1) (B * (A i))),
map_smul' := begin
intros c x,
rw [sum_smul_index', smul_sum],
{ dsimp, simp_rw [monomial, smul_single, smul_eq_mul, mul_assoc] },
{ intros s,
simp only [monomial_zero, zero_mul] }
end,
map_add' := λ f g, sum_add_index (by simp only [monomial_zero, forall_const, zero_mul])
(by simp only [add_mul, forall_const, eq_self_iff_true, monomial_add]), }
@[simp]
lemma pderiv_monomial {i : σ} :
pderiv i (monomial s a) = monomial (s - single i 1) (a * (s i)) :=
by simp only [pderiv, monomial_zero, sum_monomial_eq, zero_mul, linear_map.coe_mk]
@[simp]
lemma pderiv_C {i : σ} : pderiv i (C a) = 0 :=
suffices pderiv i (monomial 0 a) = 0, by simpa,
by simp only [monomial_zero, pderiv_monomial, nat.cast_zero, mul_zero, zero_apply]
@[simp]
lemma pderiv_one {i : σ} : pderiv i (1 : mv_polynomial σ R) = 0 := pderiv_C
lemma pderiv_eq_zero_of_not_mem_vars {i : σ} {f : mv_polynomial σ R} (h : i ∉ f.vars) :
pderiv i f = 0 :=
begin
change (pderiv i) f = 0,
rw [f.as_sum, linear_map.map_sum],
apply finset.sum_eq_zero,
intros x H,
simp [mem_support_not_mem_vars_zero H h],
end
lemma pderiv_X [decidable_eq σ] {i j : σ} :
pderiv i (X j : mv_polynomial σ R) = if i = j then 1 else 0 :=
begin
dsimp [pderiv],
erw finsupp.sum_single_index,
simp only [mul_boole, if_congr, finsupp.single_apply, nat.cast_zero, nat.cast_one, nat.cast_ite],
by_cases h : i = j,
{ rw [if_pos h, if_pos h.symm],
subst h,
congr,
ext j,
simp, },
{ rw [if_neg h, if_neg (ne.symm h)],
simp, },
{ simp, },
end
@[simp] lemma pderiv_X_self {i : σ} : pderiv i (X i : mv_polynomial σ R) = 1 :=
by simp [pderiv_X]
lemma pderiv_monomial_single {i : σ} {n : ℕ} :
pderiv i (monomial (single i n) a) = monomial (single i (n-1)) (a * n) :=
by simp
private lemma monomial_sub_single_one_add {i : σ} {s' : σ →₀ ℕ} :
monomial (s - single i 1 + s') (a * (s i) * a') =
monomial (s + s' - single i 1) (a * (s i) * a') :=
by by_cases h : s i = 0; simp [h, sub_single_one_add]
private lemma monomial_add_sub_single_one {i : σ} {s' : σ →₀ ℕ} :
monomial (s + (s' - single i 1)) (a * (a' * (s' i))) =
monomial (s + s' - single i 1) (a * (a' * (s' i))) :=
by by_cases h : s' i = 0; simp [h, add_sub_single_one]
lemma pderiv_monomial_mul {i : σ} {s' : σ →₀ ℕ} :
pderiv i (monomial s a * monomial s' a') =
pderiv i (monomial s a) * monomial s' a' + monomial s a * pderiv i (monomial s' a') :=
begin
simp [monomial_sub_single_one_add, monomial_add_sub_single_one],
congr,
ring,
end
@[simp]
lemma pderiv_mul {i : σ} {f g : mv_polynomial σ R} :
pderiv i (f * g) = pderiv i f * g + f * pderiv i g :=
begin
apply induction_on' f,
{ apply induction_on' g,
{ intros u r u' r', exact pderiv_monomial_mul },
{ intros p q hp hq u r,
rw [mul_add, linear_map.map_add, hp, hq, mul_add, linear_map.map_add],
ring } },
{ intros p q hp hq,
simp [add_mul, hp, hq],
ring, }
end
@[simp]
lemma pderiv_C_mul {f : mv_polynomial σ R} {i : σ} :
pderiv i (C a * f) = C a * pderiv i f :=
by convert linear_map.map_smul (pderiv i) a f; rw C_mul'
@[simp]
lemma pderiv_pow {i : σ} {f : mv_polynomial σ R} {n : ℕ} :
pderiv i (f^n) = n * pderiv i f * f^(n-1) :=
begin
induction n with n ih,
{ simp, },
{ simp only [nat.succ_sub_succ_eq_sub, nat.cast_succ, nat.sub_zero, mv_polynomial.pderiv_mul,
pow_succ, ih],
cases n,
{ simp, },
{ simp only [nat.succ_eq_add_one, nat.add_succ_sub_one, add_zero, nat.cast_add, nat.cast_one,
pow_succ],
ring, }, },
end
@[simp]
lemma pderiv_nat_cast {i : σ} {n : ℕ} : pderiv i (n : mv_polynomial σ R) = 0 :=
begin
induction n with n ih,
{ simp, },
{ simp [ih], },
end
end pderiv
end mv_polynomial
|
b0b18fc68fec29a6fe94133b71c39bc420b54265 | 2a70b774d16dbdf5a533432ee0ebab6838df0948 | /_target/deps/mathlib/src/algebra/group/pi.lean | 9d28f284a42c0e0a9a99198f3b4a18f8604d17b1 | [
"Apache-2.0"
] | permissive | hjvromen/lewis | 40b035973df7c77ebf927afab7878c76d05ff758 | 105b675f73630f028ad5d890897a51b3c1146fb0 | refs/heads/master | 1,677,944,636,343 | 1,676,555,301,000 | 1,676,555,301,000 | 327,553,599 | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 4,832 | lean | /-
Copyright (c) 2018 Simon Hudon. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Simon Hudon, Patrick Massot
-/
import data.pi
import tactic.pi_instances
import algebra.group.defs
import algebra.group.hom
/-!
# Pi instances for groups and monoids
This file defines instances for group, monoid, semigroup and related structures on Pi types.
-/
universes u v w
variable {I : Type u} -- The indexing type
variable {f : I → Type v} -- The family of types already equipped with instances
variables (x y : Π i, f i) (i : I)
namespace pi
@[to_additive]
instance semigroup [∀ i, semigroup $ f i] : semigroup (Π i : I, f i) :=
by refine_struct { mul := (*), .. }; tactic.pi_instance_derive_field
@[to_additive]
instance comm_semigroup [∀ i, comm_semigroup $ f i] : comm_semigroup (Π i : I, f i) :=
by refine_struct { mul := (*), .. }; tactic.pi_instance_derive_field
@[to_additive]
instance monoid [∀ i, monoid $ f i] : monoid (Π i : I, f i) :=
by refine_struct { one := (1 : Π i, f i), mul := (*), .. }; tactic.pi_instance_derive_field
@[to_additive]
instance comm_monoid [∀ i, comm_monoid $ f i] : comm_monoid (Π i : I, f i) :=
by refine_struct { one := (1 : Π i, f i), mul := (*), .. }; tactic.pi_instance_derive_field
@[to_additive]
instance div_inv_monoid [∀ i, div_inv_monoid $ f i] :
div_inv_monoid (Π i : I, f i) :=
{ div_eq_mul_inv := λ x y, funext (λ i, div_eq_mul_inv (x i) (y i)),
.. pi.monoid, .. pi.has_div, .. pi.has_inv }
@[to_additive]
instance group [∀ i, group $ f i] : group (Π i : I, f i) :=
by refine_struct { one := (1 : Π i, f i), mul := (*), inv := has_inv.inv, div := has_div.div, .. };
tactic.pi_instance_derive_field
@[to_additive]
instance comm_group [∀ i, comm_group $ f i] : comm_group (Π i : I, f i) :=
by refine_struct { one := (1 : Π i, f i), mul := (*), inv := has_inv.inv, div := has_div.div, .. };
tactic.pi_instance_derive_field
@[to_additive add_left_cancel_semigroup]
instance left_cancel_semigroup [∀ i, left_cancel_semigroup $ f i] :
left_cancel_semigroup (Π i : I, f i) :=
by refine_struct { mul := (*) }; tactic.pi_instance_derive_field
@[to_additive add_right_cancel_semigroup]
instance right_cancel_semigroup [∀ i, right_cancel_semigroup $ f i] :
right_cancel_semigroup (Π i : I, f i) :=
by refine_struct { mul := (*) }; tactic.pi_instance_derive_field
instance mul_zero_class [∀ i, mul_zero_class $ f i] :
mul_zero_class (Π i : I, f i) :=
by refine_struct { zero := (0 : Π i, f i), mul := (*), .. }; tactic.pi_instance_derive_field
instance comm_monoid_with_zero [∀ i, comm_monoid_with_zero $ f i] :
comm_monoid_with_zero (Π i : I, f i) :=
by refine_struct { zero := (0 : Π i, f i), one := (1 : Π i, f i), mul := (*), .. };
tactic.pi_instance_derive_field
section instance_lemmas
open function
variables {α β γ : Type*}
@[simp, to_additive] lemma const_one [has_one β] : const α (1 : β) = 1 := rfl
@[simp, to_additive] lemma comp_one [has_one β] {f : β → γ} : f ∘ 1 = const α (f 1) := rfl
@[simp, to_additive] lemma one_comp [has_one γ] {f : α → β} : (1 : β → γ) ∘ f = 1 := rfl
end instance_lemmas
end pi
section monoid_hom
variables (f) [Π i, monoid (f i)]
/-- Evaluation of functions into an indexed collection of monoids at a point is a monoid
homomorphism. -/
@[to_additive "Evaluation of functions into an indexed collection of additive monoids at a point
is an additive monoid homomorphism."]
def monoid_hom.apply (i : I) : (Π i, f i) →* f i :=
{ to_fun := λ g, g i,
map_one' := rfl,
map_mul' := λ x y, rfl, }
@[simp, to_additive]
lemma monoid_hom.apply_apply (i : I) (g : Π i, f i) :
(monoid_hom.apply f i) g = g i := rfl
end monoid_hom
section add_monoid_single
variables [decidable_eq I] (f) [Π i, add_monoid (f i)]
open pi
/-- The additive monoid homomorphism including a single additive monoid
into a dependent family of additive monoids, as functions supported at a point. -/
def add_monoid_hom.single (i : I) : f i →+ Π i, f i :=
{ to_fun := λ x, single i x,
map_zero' :=
begin
ext i', by_cases h : i' = i,
{ subst h, simp only [single_eq_same], refl, },
{ simp only [h, single_eq_of_ne, ne.def, not_false_iff], refl, },
end,
map_add' := λ x y,
begin
ext i', by_cases h : i' = i,
-- FIXME in the next two `simp only`s,
-- it would be really nice to not have to provide the arguments to `add_apply`.
{ subst h, simp only [single_eq_same, add_apply (single i' x) (single i' y) i'], },
{ simp only [h, add_zero, single_eq_of_ne,
add_apply (single i x) (single i y) i', ne.def, not_false_iff], },
end, }
@[simp]
lemma add_monoid_hom.single_apply {i : I} (x : f i) :
(add_monoid_hom.single f i) x = single i x := rfl
end add_monoid_single
|
09a751ec7b1be85f05da80a32bce8e99f90e0fec | 9dc8cecdf3c4634764a18254e94d43da07142918 | /src/linear_algebra/tensor_power.lean | abb55292695bc098c44628069fbc74659fb4a671 | [
"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 | 2,531 | lean | /-
Copyright (c) 2021 Eric Wieser. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Eric Wieser
-/
import linear_algebra.pi_tensor_product
import logic.equiv.fin
import algebra.direct_sum.algebra
/-!
# Tensor power of a semimodule over a commutative semirings
We define the `n`th tensor power of `M` as the n-ary tensor product indexed by `fin n` of `M`,
`⨂[R] (i : fin n), M`. This is a special case of `pi_tensor_product`.
This file introduces the notation `⨂[R]^n M` for `tensor_power R n M`, which in turn is an
abbreviation for `⨂[R] i : fin n, M`.
## Main definitions:
* `tensor_power.ghas_one`
* `tensor_power.ghas_mul`
## TODO
Show `direct_sum.galgebra R (λ i, ⨂[R]^i M)` and `algebra R (⨁ n : ℕ, ⨂[R]^n M)`.
## Implementation notes
In this file we use `ₜ1` and `ₜ*` as local notation for the graded multiplicative structure on
tensor powers. Elsewhere, using `1` and `*` on `graded_monoid` should be preferred.
-/
open_locale tensor_product
/-- Homogenous tensor powers $M^{\otimes n}$. `⨂[R]^n M` is a shorthand for
`⨂[R] (i : fin n), M`. -/
@[reducible] protected def tensor_power (R : Type*) (n : ℕ) (M : Type*)
[comm_semiring R] [add_comm_monoid M] [module R M] : Type* :=
⨂[R] i : fin n, M
variables {R : Type*} {M : Type*} [comm_semiring R] [add_comm_monoid M] [module R M]
localized "notation (name := tensor_power)
`⨂[`:100 R `]^`:80 n:max := tensor_power R n" in tensor_product
namespace tensor_power
open_locale tensor_product direct_sum
open pi_tensor_product
/-- As a graded monoid, `⨂[R]^i M` has a `1 : ⨂[R]^0 M`. -/
instance ghas_one : graded_monoid.ghas_one (λ i, ⨂[R]^i M) :=
{ one := tprod R fin.elim0 }
local notation `ₜ1` := @graded_monoid.ghas_one.one ℕ (λ i, ⨂[R]^i M) _ _
lemma ghas_one_def : ₜ1 = tprod R fin.elim0 := rfl
/-- A variant of `pi_tensor_prod.tmul_equiv` with the result indexed by `fin (n + m)`. -/
def mul_equiv {n m : ℕ} : (⨂[R]^n M) ⊗[R] (⨂[R]^m M) ≃ₗ[R] ⨂[R]^(n + m) M :=
(tmul_equiv R M).trans (reindex R M fin_sum_fin_equiv)
/-- As a graded monoid, `⨂[R]^i M` has a `(*) : ⨂[R]^i M → ⨂[R]^j M → ⨂[R]^(i + j) M`. -/
instance ghas_mul : graded_monoid.ghas_mul (λ i, ⨂[R]^i M) :=
{ mul := λ i j a b, mul_equiv (a ⊗ₜ b) }
local infix ` ₜ* `:70 := @graded_monoid.ghas_mul.mul ℕ (λ i, ⨂[R]^i M) _ _ _ _
lemma ghas_mul_def {i j} (a : ⨂[R]^i M) (b : ⨂[R]^j M) : a ₜ* b = mul_equiv (a ⊗ₜ b) := rfl
end tensor_power
|
eb5a3e593abd4878900b5a2ba1d7589af255e0a6 | 74addaa0e41490cbaf2abd313a764c96df57b05d | /Mathlib/ring_theory/integral_closure.lean | a168ff1259c0df24ecb7d821b00a5b8f76c2bcaa | [] | 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 | 16,831 | lean | /-
Copyright (c) 2019 Kenny Lau. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kenny Lau
-/
import Mathlib.PrePort
import Mathlib.Lean3Lib.init.default
import Mathlib.ring_theory.algebra_tower
import Mathlib.ring_theory.polynomial.scale_roots
import Mathlib.PostPort
universes u_1 u_3 u_2 u_4 u_5
namespace Mathlib
/-!
# Integral closure of a subring.
If A is an R-algebra then `a : A` is integral over R if it is a root of a monic polynomial
with coefficients in R. Enough theory is developed to prove that integral elements
form a sub-R-algebra of A.
## Main definitions
Let `R` be a `comm_ring` and let `A` be an R-algebra.
* `ring_hom.is_integral_elem (f : R →+* A) (x : A)` : `x` is integral with respect to the map `f`,
* `is_integral (x : A)` : `x` is integral over `R`, i.e., is a root of a monic polynomial with
coefficients in `R`.
* `integral_closure R A` : the integral closure of `R` in `A`, regarded as a sub-`R`-algebra of `A`.
-/
/-- An element `x` of `A` is said to be integral over `R` with respect to `f`
if it is a root of a monic polynomial `p : polynomial R` evaluated under `f` -/
def ring_hom.is_integral_elem {R : Type u_1} {A : Type u_3} [comm_ring R] [ring A] (f : R →+* A) (x : A) :=
∃ (p : polynomial R), polynomial.monic p ∧ polynomial.eval₂ f x p = 0
/-- A ring homomorphism `f : R →+* A` is said to be integral
if every element `A` is integral with respect to the map `f` -/
def ring_hom.is_integral {R : Type u_1} {A : Type u_3} [comm_ring R] [ring A] (f : R →+* A) :=
∀ (x : A), ring_hom.is_integral_elem f x
/-- An element `x` of an algebra `A` over a commutative ring `R` is said to be *integral*,
if it is a root of some monic polynomial `p : polynomial R`.
Equivalently, the element is integral over `R` with respect to the induced `algebra_map` -/
def is_integral (R : Type u_1) {A : Type u_3} [comm_ring R] [ring A] [algebra R A] (x : A) :=
ring_hom.is_integral_elem (algebra_map R A) x
/-- An algebra is integral if every element of the extension is integral over the base ring -/
def algebra.is_integral (R : Type u_1) (A : Type u_3) [comm_ring R] [ring A] [algebra R A] :=
ring_hom.is_integral (algebra_map R A)
theorem ring_hom.is_integral_map {R : Type u_1} {S : Type u_2} [comm_ring R] [ring S] (f : R →+* S) {x : R} : ring_hom.is_integral_elem f (coe_fn f x) := sorry
theorem is_integral_algebra_map {R : Type u_1} {A : Type u_3} [comm_ring R] [ring A] [algebra R A] {x : R} : is_integral R (coe_fn (algebra_map R A) x) :=
ring_hom.is_integral_map (algebra_map R A)
theorem is_integral_of_noetherian {R : Type u_1} {A : Type u_3} [comm_ring R] [ring A] [algebra R A] (H : is_noetherian R A) (x : A) : is_integral R x := sorry
theorem is_integral_of_submodule_noetherian {R : Type u_1} {A : Type u_3} [comm_ring R] [ring A] [algebra R A] (S : subalgebra R A) (H : is_noetherian R ↥↑S) (x : A) (hx : x ∈ S) : is_integral R x := sorry
theorem is_integral_alg_hom {R : Type u_1} {A : Type u_2} {B : Type u_3} [comm_ring R] [comm_ring A] [comm_ring B] [algebra R A] [algebra R B] (f : alg_hom R A B) {x : A} (hx : is_integral R x) : is_integral R (coe_fn f x) := sorry
theorem is_integral_of_is_scalar_tower {R : Type u_1} {A : Type u_2} {B : Type u_3} [comm_ring R] [comm_ring A] [comm_ring B] [algebra R A] [algebra R B] [algebra A B] [is_scalar_tower R A B] (x : B) (hx : is_integral R x) : is_integral A x := sorry
theorem is_integral_of_subring {R : Type u_1} {A : Type u_2} [comm_ring R] [comm_ring A] [algebra R A] {x : A} (T : set R) [is_subring T] (hx : is_integral (↥T) x) : is_integral R x :=
is_integral_of_is_scalar_tower x hx
theorem is_integral_algebra_map_iff {R : Type u_1} {A : Type u_2} {B : Type u_3} [comm_ring R] [comm_ring A] [comm_ring B] [algebra R A] [algebra R B] [algebra A B] [is_scalar_tower R A B] {x : A} (hAB : function.injective ⇑(algebra_map A B)) : is_integral R (coe_fn (algebra_map A B) x) ↔ is_integral R x := sorry
theorem is_integral_iff_is_integral_closure_finite {R : Type u_1} {A : Type u_2} [comm_ring R] [comm_ring A] [algebra R A] {r : A} : is_integral R r ↔ ∃ (s : set R), set.finite s ∧ is_integral (↥(ring.closure s)) r := sorry
theorem fg_adjoin_singleton_of_integral {R : Type u_1} {A : Type u_2} [comm_ring R] [comm_ring A] [algebra R A] (x : A) (hx : is_integral R x) : submodule.fg ↑(algebra.adjoin R (singleton x)) := sorry
theorem fg_adjoin_of_finite {R : Type u_1} {A : Type u_2} [comm_ring R] [comm_ring A] [algebra R A] {s : set A} (hfs : set.finite s) (his : ∀ (x : A), x ∈ s → is_integral R x) : submodule.fg ↑(algebra.adjoin R s) := sorry
theorem is_integral_of_mem_of_fg {R : Type u_1} {A : Type u_2} [comm_ring R] [comm_ring A] [algebra R A] (S : subalgebra R A) (HS : submodule.fg ↑S) (x : A) (hx : x ∈ S) : is_integral R x := sorry
theorem ring_hom.is_integral_of_mem_closure {R : Type u_1} {S : Type u_4} [comm_ring R] [comm_ring S] (f : R →+* S) {x : S} {y : S} {z : S} (hx : ring_hom.is_integral_elem f x) (hy : ring_hom.is_integral_elem f y) (hz : z ∈ ring.closure (insert x (singleton y))) : ring_hom.is_integral_elem f z := sorry
theorem is_integral_of_mem_closure {R : Type u_1} {A : Type u_2} [comm_ring R] [comm_ring A] [algebra R A] {x : A} {y : A} {z : A} (hx : is_integral R x) (hy : is_integral R y) (hz : z ∈ ring.closure (insert x (singleton y))) : is_integral R z :=
ring_hom.is_integral_of_mem_closure (algebra_map R A) hx hy hz
theorem ring_hom.is_integral_zero {R : Type u_1} {S : Type u_4} [comm_ring R] [comm_ring S] (f : R →+* S) : ring_hom.is_integral_elem f 0 :=
ring_hom.map_zero f ▸ ring_hom.is_integral_map f
theorem is_integral_zero {R : Type u_1} {A : Type u_2} [comm_ring R] [comm_ring A] [algebra R A] : is_integral R 0 :=
ring_hom.is_integral_zero (algebra_map R A)
theorem ring_hom.is_integral_one {R : Type u_1} {S : Type u_4} [comm_ring R] [comm_ring S] (f : R →+* S) : ring_hom.is_integral_elem f 1 :=
ring_hom.map_one f ▸ ring_hom.is_integral_map f
theorem is_integral_one {R : Type u_1} {A : Type u_2} [comm_ring R] [comm_ring A] [algebra R A] : is_integral R 1 :=
ring_hom.is_integral_one (algebra_map R A)
theorem ring_hom.is_integral_add {R : Type u_1} {S : Type u_4} [comm_ring R] [comm_ring S] (f : R →+* S) {x : S} {y : S} (hx : ring_hom.is_integral_elem f x) (hy : ring_hom.is_integral_elem f y) : ring_hom.is_integral_elem f (x + y) :=
ring_hom.is_integral_of_mem_closure f hx hy
(is_add_submonoid.add_mem (ring.subset_closure (Or.inl rfl)) (ring.subset_closure (Or.inr rfl)))
theorem is_integral_add {R : Type u_1} {A : Type u_2} [comm_ring R] [comm_ring A] [algebra R A] {x : A} {y : A} (hx : is_integral R x) (hy : is_integral R y) : is_integral R (x + y) :=
ring_hom.is_integral_add (algebra_map R A) hx hy
theorem ring_hom.is_integral_neg {R : Type u_1} {S : Type u_4} [comm_ring R] [comm_ring S] (f : R →+* S) {x : S} (hx : ring_hom.is_integral_elem f x) : ring_hom.is_integral_elem f (-x) :=
ring_hom.is_integral_of_mem_closure f hx hx (is_add_subgroup.neg_mem (ring.subset_closure (Or.inl rfl)))
theorem is_integral_neg {R : Type u_1} {A : Type u_2} [comm_ring R] [comm_ring A] [algebra R A] {x : A} (hx : is_integral R x) : is_integral R (-x) :=
ring_hom.is_integral_neg (algebra_map R A) hx
theorem ring_hom.is_integral_sub {R : Type u_1} {S : Type u_4} [comm_ring R] [comm_ring S] (f : R →+* S) {x : S} {y : S} (hx : ring_hom.is_integral_elem f x) (hy : ring_hom.is_integral_elem f y) : ring_hom.is_integral_elem f (x - y) := sorry
theorem is_integral_sub {R : Type u_1} {A : Type u_2} [comm_ring R] [comm_ring A] [algebra R A] {x : A} {y : A} (hx : is_integral R x) (hy : is_integral R y) : is_integral R (x - y) :=
ring_hom.is_integral_sub (algebra_map R A) hx hy
theorem ring_hom.is_integral_mul {R : Type u_1} {S : Type u_4} [comm_ring R] [comm_ring S] (f : R →+* S) {x : S} {y : S} (hx : ring_hom.is_integral_elem f x) (hy : ring_hom.is_integral_elem f y) : ring_hom.is_integral_elem f (x * y) :=
ring_hom.is_integral_of_mem_closure f hx hy
(is_submonoid.mul_mem (ring.subset_closure (Or.inl rfl)) (ring.subset_closure (Or.inr rfl)))
theorem is_integral_mul {R : Type u_1} {A : Type u_2} [comm_ring R] [comm_ring A] [algebra R A] {x : A} {y : A} (hx : is_integral R x) (hy : is_integral R y) : is_integral R (x * y) :=
ring_hom.is_integral_mul (algebra_map R A) hx hy
/-- The integral closure of R in an R-algebra A. -/
def integral_closure (R : Type u_1) (A : Type u_2) [comm_ring R] [comm_ring A] [algebra R A] : subalgebra R A :=
subalgebra.mk (set_of fun (r : A) => is_integral R r) is_integral_one sorry is_integral_zero sorry sorry
theorem mem_integral_closure_iff_mem_fg (R : Type u_1) (A : Type u_2) [comm_ring R] [comm_ring A] [algebra R A] {r : A} : r ∈ integral_closure R A ↔ ∃ (M : subalgebra R A), submodule.fg ↑M ∧ r ∈ M := sorry
/-- Mapping an integral closure along an `alg_equiv` gives the integral closure. -/
theorem integral_closure_map_alg_equiv {R : Type u_1} {A : Type u_2} {B : Type u_3} [comm_ring R] [comm_ring A] [comm_ring B] [algebra R A] [algebra R B] (f : alg_equiv R A B) : subalgebra.map (integral_closure R A) ↑f = integral_closure R B := sorry
theorem integral_closure.is_integral {R : Type u_1} {A : Type u_2} [comm_ring R] [comm_ring A] [algebra R A] (x : ↥(integral_closure R A)) : is_integral R x := sorry
theorem ring_hom.is_integral_of_is_integral_mul_unit {R : Type u_1} {S : Type u_4} [comm_ring R] [comm_ring S] (f : R →+* S) (x : S) (y : S) (r : R) (hr : coe_fn f r * y = 1) (hx : ring_hom.is_integral_elem f (x * y)) : ring_hom.is_integral_elem f x := sorry
theorem is_integral_of_is_integral_mul_unit {R : Type u_1} {A : Type u_2} [comm_ring R] [comm_ring A] [algebra R A] {x : A} {y : A} {r : R} (hr : coe_fn (algebra_map R A) r * y = 1) (hx : is_integral R (x * y)) : is_integral R x :=
ring_hom.is_integral_of_is_integral_mul_unit (algebra_map R A) x y r hr hx
/-- Generalization of `is_integral_of_mem_closure` bootstrapped up from that lemma -/
theorem is_integral_of_mem_closure' {R : Type u_1} {A : Type u_2} [comm_ring R] [comm_ring A] [algebra R A] (G : set A) (hG : ∀ (x : A), x ∈ G → is_integral R x) (x : A) (H : x ∈ subring.closure G) : is_integral R x :=
subring.closure_induction hx hG is_integral_zero is_integral_one (fun (_x _x_1 : A) => is_integral_add)
(fun (_x : A) => is_integral_neg) fun (_x _x_1 : A) => is_integral_mul
theorem is_integral_of_mem_closure'' {R : Type u_1} [comm_ring R] {S : Type u_2} [comm_ring S] {f : R →+* S} (G : set S) (hG : ∀ (x : S), x ∈ G → ring_hom.is_integral_elem f x) (x : S) (H : x ∈ subring.closure G) : ring_hom.is_integral_elem f x :=
is_integral_of_mem_closure' G hG x hx
theorem is_integral_trans_aux {R : Type u_1} {A : Type u_2} {B : Type u_3} [comm_ring R] [comm_ring A] [comm_ring B] [algebra A B] [algebra R B] (x : B) {p : polynomial A} (pmonic : polynomial.monic p) (hp : coe_fn (polynomial.aeval x) p = 0) : is_integral (↥(algebra.adjoin R ↑(finsupp.frange (polynomial.map (algebra_map A B) p)))) x := sorry
/-- If A is an R-algebra all of whose elements are integral over R,
and x is an element of an A-algebra that is integral over A, then x is integral over R.-/
theorem is_integral_trans {R : Type u_1} {A : Type u_2} {B : Type u_3} [comm_ring R] [comm_ring A] [comm_ring B] [algebra A B] [algebra R B] [algebra R A] [is_scalar_tower R A B] (A_int : algebra.is_integral R A) (x : B) (hx : is_integral A x) : is_integral R x := sorry
/-- If A is an R-algebra all of whose elements are integral over R,
and B is an A-algebra all of whose elements are integral over A,
then all elements of B are integral over R.-/
theorem algebra.is_integral_trans {R : Type u_1} {A : Type u_2} {B : Type u_3} [comm_ring R] [comm_ring A] [comm_ring B] [algebra A B] [algebra R B] [algebra R A] [is_scalar_tower R A B] (hA : algebra.is_integral R A) (hB : algebra.is_integral A B) : algebra.is_integral R B :=
fun (x : B) => is_integral_trans hA x (hB x)
theorem ring_hom.is_integral_trans {R : Type u_1} {S : Type u_4} {T : Type u_5} [comm_ring R] [comm_ring S] [comm_ring T] (f : R →+* S) (g : S →+* T) (hf : ring_hom.is_integral f) (hg : ring_hom.is_integral g) : ring_hom.is_integral (ring_hom.comp g f) :=
algebra.is_integral_trans hf hg
theorem ring_hom.is_integral_of_surjective {R : Type u_1} {S : Type u_4} [comm_ring R] [comm_ring S] (f : R →+* S) (hf : function.surjective ⇑f) : ring_hom.is_integral f :=
fun (x : S) => Exists.rec_on (hf x) fun (y : R) (hy : coe_fn f y = x) => hy ▸ ring_hom.is_integral_map f
theorem is_integral_of_surjective {R : Type u_1} {A : Type u_2} [comm_ring R] [comm_ring A] [algebra R A] (h : function.surjective ⇑(algebra_map R A)) : algebra.is_integral R A :=
ring_hom.is_integral_of_surjective (algebra_map R A) h
/-- If `R → A → B` is an algebra tower with `A → B` injective,
then if the entire tower is an integral extension so is `R → A` -/
theorem is_integral_tower_bot_of_is_integral {R : Type u_1} {A : Type u_2} {B : Type u_3} [comm_ring R] [comm_ring A] [comm_ring B] [algebra A B] [algebra R B] [algebra R A] [is_scalar_tower R A B] (H : function.injective ⇑(algebra_map A B)) {x : A} (h : is_integral R (coe_fn (algebra_map A B) x)) : is_integral R x := sorry
theorem ring_hom.is_integral_tower_bot_of_is_integral {R : Type u_1} {S : Type u_4} {T : Type u_5} [comm_ring R] [comm_ring S] [comm_ring T] (f : R →+* S) (g : S →+* T) (hg : function.injective ⇑g) (hfg : ring_hom.is_integral (ring_hom.comp g f)) : ring_hom.is_integral f :=
fun (x : S) => is_integral_tower_bot_of_is_integral hg (hfg (coe_fn g x))
theorem is_integral_tower_bot_of_is_integral_field {R : Type u_1} {A : Type u_2} {B : Type u_3} [comm_ring R] [field A] [comm_ring B] [nontrivial B] [algebra R A] [algebra A B] [algebra R B] [is_scalar_tower R A B] {x : A} (h : is_integral R (coe_fn (algebra_map A B) x)) : is_integral R x :=
is_integral_tower_bot_of_is_integral (ring_hom.injective (algebra_map A B)) h
theorem ring_hom.is_integral_elem_of_is_integral_elem_comp {R : Type u_1} {S : Type u_4} {T : Type u_5} [comm_ring R] [comm_ring S] [comm_ring T] (f : R →+* S) (g : S →+* T) {x : T} (h : ring_hom.is_integral_elem (ring_hom.comp g f) x) : ring_hom.is_integral_elem g x := sorry
theorem ring_hom.is_integral_tower_top_of_is_integral {R : Type u_1} {S : Type u_4} {T : Type u_5} [comm_ring R] [comm_ring S] [comm_ring T] (f : R →+* S) (g : S →+* T) (h : ring_hom.is_integral (ring_hom.comp g f)) : ring_hom.is_integral g :=
fun (x : T) => ring_hom.is_integral_elem_of_is_integral_elem_comp f g (h x)
/-- If `R → A → B` is an algebra tower,
then if the entire tower is an integral extension so is `A → B`. -/
theorem is_integral_tower_top_of_is_integral {R : Type u_1} {A : Type u_2} {B : Type u_3} [comm_ring R] [comm_ring A] [comm_ring B] [algebra A B] [algebra R B] [algebra R A] [is_scalar_tower R A B] {x : B} (h : is_integral R x) : is_integral A x := sorry
theorem ring_hom.is_integral_quotient_of_is_integral {R : Type u_1} {S : Type u_4} [comm_ring R] [comm_ring S] (f : R →+* S) {I : ideal S} (hf : ring_hom.is_integral f) : ring_hom.is_integral (ideal.quotient_map I f le_rfl) := sorry
theorem is_integral_quotient_of_is_integral {R : Type u_1} {A : Type u_2} [comm_ring R] [comm_ring A] [algebra R A] {I : ideal A} (hRA : algebra.is_integral R A) : algebra.is_integral (ideal.quotient (ideal.comap (algebra_map R A) I)) (ideal.quotient I) :=
ring_hom.is_integral_quotient_of_is_integral (algebra_map R A) hRA
theorem is_integral_quotient_map_iff {R : Type u_1} {S : Type u_4} [comm_ring R] [comm_ring S] (f : R →+* S) {I : ideal S} : ring_hom.is_integral (ideal.quotient_map I f le_rfl) ↔ ring_hom.is_integral (ring_hom.comp (ideal.quotient.mk I) f) := sorry
/-- If the integral extension `R → S` is injective, and `S` is a field, then `R` is also a field. -/
theorem is_field_of_is_integral_of_is_field {R : Type u_1} {S : Type u_2} [integral_domain R] [integral_domain S] [algebra R S] (H : algebra.is_integral R S) (hRS : function.injective ⇑(algebra_map R S)) (hS : is_field S) : is_field R := sorry
theorem integral_closure_idem {R : Type u_1} {A : Type u_2} [comm_ring R] [comm_ring A] [algebra R A] : integral_closure (↥↑(integral_closure R A)) A = ⊥ := sorry
protected instance integral_closure.integral_domain {R : Type u_1} {S : Type u_2} [comm_ring R] [integral_domain S] [algebra R S] : integral_domain ↥(integral_closure R S) :=
integral_domain.mk comm_ring.add sorry comm_ring.zero sorry sorry comm_ring.neg comm_ring.sub sorry sorry comm_ring.mul
sorry comm_ring.one sorry sorry sorry sorry sorry sorry sorry
|
ee3909afccc6fca3dc8650ff801908a9fcb87bc7 | dd4e652c749fea9ac77e404005cb3470e5f75469 | /src/missing_mathlib/ring_theory/algebra.lean | bca5aabb91d2bee24d893d0995be51bdf0eb92b8 | [] | no_license | skbaek/cvx | e32822ad5943541539966a37dee162b0a5495f55 | c50c790c9116f9fac8dfe742903a62bdd7292c15 | refs/heads/master | 1,623,803,010,339 | 1,618,058,958,000 | 1,618,058,958,000 | 176,293,135 | 3 | 2 | null | null | null | null | UTF-8 | Lean | false | false | 641 | lean | import ring_theory.algebra
universes u v w u₁ v₁
namespace algebra
variables {R : Type u} {S : Type v} {A : Type w}
variables [comm_ring R] [comm_ring S] [ring A] [algebra R A]
lemma mul_sub_algebra_map_commutes (x : A) (r : R) :
x * (x - algebra_map R A r) = (x - algebra_map R A r) * x :=
by rw [mul_sub, ←commutes, sub_mul]
lemma mul_sub_algebra_map_pow_commutes (x : A) (r : R) (n : ℕ) :
x * (x - algebra_map R A r) ^ n = (x - algebra_map R A r) ^ n * x :=
begin
induction n with n ih,
{ simp },
{ rw [pow_succ, ←mul_assoc, mul_sub_algebra_map_commutes,
mul_assoc, ih, ←mul_assoc], }
end
end algebra |
3784db567ee7441d6035b1d9d0a81a4d0dd5a447 | e21db629d2e37a833531fdcb0b37ce4d71825408 | /src/use_cases/arrcp_mcl.lean | fc2783279cccf8fd108a2bf776e4d1b942579ffa | [] | no_license | fischerman/GPU-transformation-verifier | 614a28cb4606a05a0eb27e8d4eab999f4f5ea60c | 75a5016f05382738ff93ce5859c4cfa47ccb63c1 | refs/heads/master | 1,586,985,789,300 | 1,579,290,514,000 | 1,579,290,514,000 | 165,031,073 | 1 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 2,365 | lean | /- import mcl
import parlang
open mcl
open mcl.mclk
namespace arrcp_mcl
-- open classical
-- local attribute [instance] prop_decidable
-- instance a : decidable_eq string := sorry
#check ([5] : vector _ _)
def sig : signature --:= λ n, if n = "i" then { scope := scope.tlocal, type := ⟨_, [1], type.int⟩ } else { scope := scope.shared, type := ⟨_, [100], type.int⟩ }
| "i" := { scope := scope.tlocal, type := ⟨_, [1], type.int⟩ }
| "tid" := { scope := scope.tlocal, type := ⟨_, [1], type.int⟩ }
| _ := { scope := scope.shared, type := ⟨_, [100], type.int⟩ }
lemma i_is_tlocal : is_tlocal (sig "i") := by apply eq.refl
lemma a_is_shared : is_shared (sig "a") := by apply eq.refl
lemma tid_is_tlocal : is_tlocal (sig "tid") := by apply eq.refl
def read_i := (expression.tlocal_var "i" (λ_, 0) (show type_of (sig "i") = type.int, by apply eq.refl) (by refl) i_is_tlocal)
def read_tid := (expression.tlocal_var "tid" (λ_, 0) (show type_of (sig "tid") = type.int, by apply eq.refl) (show (sig "tid").type.dim = 1, by apply eq.refl) tid_is_tlocal)
def arrcp₁ : mclp sig := mclp.intro (λ m, 100) (
mclk.shared_assign "b" [read_tid] (by refl) (expression.shared_var "a" (λ_, read_tid) (show type_of (sig "a") = type.int, by refl) (by refl) a_is_shared)
)
def arrcp₂ : mclp sig := mclp.intro (λ m, 10) (mclk.for "i" (by refl) (by refl) read_tid (read_i < 100) (mclk.tlocal_assign "i" [1] (show ((sig "i").type).dim = vector.length [1], by refl) (read_i + read_tid)) (
mclk.shared_assign "b" [read_i] (by refl) (expression.shared_var "a" (λ_, read_i) (show type_of (sig "a") = type.int, by refl) (by refl) a_is_shared)
))
#eval mclp_to_program arrcp₁
#eval mclp_to_program arrcp₂
--#reduce mclp_to_program arrcp₂
example (c) : mclp_to_program arrcp₁ = c := begin
rw arrcp₁,
rw [mclp_to_program, mclk_to_kernel, prepend_load_expr, load_shared_vars_for_expr],
repeat {rw list.append},
repeat {rw list.foldl},
repeat {rw list.foldr},
end
#eval mclp_to_program arrcp₁
#check ```(mclp_to_program arrcp₁)
#print mclp_to_program
def X : ℕ → ℕ := λ n, n + 2
meta def num_args : expr → nat
| (expr.app f a) := num_args f + 1
| e:=0
#check X
#check `(X)
#eval parlang.expr.repr `(X)
example : mclp_rel eq arrcp₁ arrcp₂ eq := begin
apply rel_mclk_to_mclp,
end
end arrcp_mcl -/ |
1f032f03c12f216023f586c8b26e039a0d10c724 | d0f9af2b0ace5ce352570d61b09019c8ef4a3b96 | /exam_1/exam_1_key.lean | b48755b9af4a72b0fce9052f5d1032e4f475f5d0 | [] | no_license | jngo13/Discrete-Mathematics | 8671540ef2da7c75915d32332dd20c02f001474e | bf674a866e61f60e6e6d128df85fa73819091787 | refs/heads/master | 1,675,615,657,924 | 1,609,142,011,000 | 1,609,142,011,000 | 267,190,341 | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 11,213 | lean | /-
CS 2102 Spring 2020, Sullivan, Exam #1
READ THIS:Put away all electronics except for
your laptops. Included in the list are watched
and headphones. Do not access *any* electronics
at all except for your laptop. Close all browser
windows and *all* other applications except for
VS Code and any browser tab you need to access
class notes. Do not access any other browser
tabs whatsoever. ** DISABLE ALL COMMUNICATION
APPS ** If you see someone cheating, say so,
as they put you at a relative disadvantage,
and you do not need to tolerate that.
Collaboration policy: Communicating with anyone
in any way about any aspect of this exam but for
the instructor is absolutely prohibited. Cases of
possible violations will be addressed in accord
with class and University policy.
Note: on this exam, you are meant to use
built-in Lean types on all problems. You
won't need to use our dm_ versions. Those
we developed just so you understand how
Lean's types are defined and how they work.
Complete the problems below. The be *sure*
to save your file to a known location on
your machine. We suggest saving your finished
exam to your Desktop. Then upload the file to
Collab. Finally, check that you uploaded the
right file. Leave enough time at the end of
the class to make sure you've submitted the
right file.
This exam has four questions. Most have several
parts. There are 11 individual parts, adding up
to 100 points, and one extra credit question at
the end, worth 10. We strongly recommend that
you attempt the extra credit problem only after
satisfactorily completing the main part of the
exam.
-/
/- 1. Product types (ordered pairs) [30 points]
The concept of ordered pairs is essential
in mathematics and logic. One of the most
fundamental of data types in logic, then,
is the type of ordered pairs.
Here is the actual definition of Lean's
product type, prod, straight from Lean's
libraries.
structure prod (α : Type u) (β : Type v) :=
(fst : α) (snd : β)
Note that the name of the constructor is
not stated explicitly here. In this case,
Lean assumes that the constructor name is
mk. So the definition is equivalent to:
structure prod (α : Type u) (β : Type v) :=
mk :: (fst : α) (snd : β)
Furthermore, because prod is polymorphic,
so is the mk constructor function; but it
takes its type arguments implicitly. That
is just how Lean works.
-/
/- A. [6 points]
2 points per question
All or nothing each part
Define p1, p2, and p3 as names for three
ordered pair objects, where p1 has first
element tt and second element ff; pair2
has first element 7 and second element 49;
and pair3 has first element 5 and second
element ff.
-/
def p1 := prod.mk tt ff
def p2 := prod.mk 7 3
def p3 := prod.mk 5 ff
/- B. [8 points]
2 each
2 free
All or nothing
Lean provides a convenient notation for
working with ordered pairs. The notation
(x, y) gets "de-sugared" to prod.mk x y.
Define p1', p2', and p3' to be the same
pairs as p1, p2, and p3, respectively,
but use this more convenient notation.
-/
def p1' := (tt,ff)
def p2' := (7, 3)
def p3' := (5, ff)
/- C. [8 points]
4 each
All or nothing (As long as it works)
The main benefit of using "structure"
rather than "inductive" when defining
a product type is that the field names
used in the type definition can also
be used as accessor/projection funtions.
Use #eval <expr> twice, replacing the
<expr>'s with expressions using these
function names first to get/compute the
first element of p1, and then to get the
the second element of p2.
-/
#eval p1.fst
#eval p2.snd
/- D. [8 points]
4 points each => 2 for header and 2 for body
+1 for each if they did extra credit part
Subtract 1 from header for each if student used explicit type arguments
Complete the definitions of the following
set_fst and set_snd functions. Each one is
to take an ordered pair of type prod α β,
and a value of type α for set_fst or β for
set_snd, and return a new pair where the
first or second value is replace with the
given argument value, where the other value
is the same as in the given pair.
You will receive 2 extra credit points for
using Lean's convenient notation for pairs
in your solutions.
-/
open prod
--Regular Versions
def set_fst {α β : Type}: prod α β → α → prod α β
| prd a := mk a prd.snd
def set_snd {α β : Type}: prod α β → β → prod α β
| prd b := mk prd.fst b
--Extra Credit Versions
def set_fst' {α β : Type}: prod α β → α → prod α β
| prd a := (a, prd.snd)
def set_snd' {α β : Type}: prod α β → β → prod α β
| prd b := (prd.fst, b)
/- 2. Inductive definitions (sequences) [30 points]
Imperative programming languages are based on
a few basic commands: assignment, if_then_else,
and while. A program in such a language is just
a sequence of such commands. In this question,
you will show that you can use the concepts you
have learned in this class to define a hugely
simplified imperative programming language!
-/
/- A. [6 points]
All or nothing
Define a data type (a sum type) called cmd,
the values (constructors) of which are called
assign, ite (short for if_then_else), and while.
These constructors take no arguments.
-/
inductive cmd : Type
| assign
| ite
| while
/- B. [8 points]
1 for header;
2 for blank
(5 for sequence) => All or nothing
Define a data type called program, where
a program is either blank, or is constructed
from a command (a value of type cmd) followed
by another program. In other words, a program
is a possibly empty sequence of commands. Your
data type will have two constructors. Call the
first one "blank", and the second one "seq".
The first will take no arguments (it's the
base case for your inductive definition).
The second will take two arguments.
-/
inductive program : Type
| blank
| seq (c : cmd) (p : program)
/- C. [8 points]
8 => If entire question is correct
4 => If it has Simple mistakes
0 => Bizzare mistakes
Define prog1 to be a value of type program
with three commands in a row: first assign,
then while, then ite. (Open the program and
cmd namespaces if you wish.)
-/
open program
open cmd
def prog1 := seq (assign) (seq (while) (seq (ite) (blank)))
/- D. [8 points]
No recurisive => 0 points
4 for simple mistakes (parenthesis)
8 for correct
One often wants to know how many lines of code
are in a program. Consider each command (cmd) in
a value of type program to be a "line of code".
Write a function called loc that takes a value
of type program as an argument and that returns
the number of commands it contains. Note that
this function will have to be recursive, so be
sure to use "by cases" notation. Use #eval to
apply loc to prog1 to test your definition.
-/
def loc : program → ℕ
| blank := 0
| (seq c p) := 1 + loc(p)
/- 3. Polymorphic types (binary trees) [20 points]
A binary tree of values of some arbitrary type,
α, is either empty or it is a node with a value of
type α and two smaller trees, usually called left
and right.
-/
/- A. Data type [10 points]
10 for full
9 if {} is not used in base case.
5 for simple mistakes i.e. are going in right direction
0 for completely wrong
Define a polymorphic "tree" data type as stated,
with constructors called empty and node. (Be sure
to explicitly state the type of empty to be tree).
-/
inductive tree (α : Type) : Type
| empty{}: tree
| node (a : α) (left : tree) (right:tree): tree
/-
Here are examples of trees that you can use to
test the function that you are about to define.
This "code" will work once you correcty complete
your definition of the polymorphic tree type.
Put {} after "empty" in the first constructor
to tell Lean to take the type argument to this
constructor implicity.
-/
def e := @tree.empty bool
def t4 := tree.node
tt
(tree.node
ff
(e)
(tree.node
tt
(e)
(e)
)
)
(tree.node
tt
(e)
(e)
)
-- note that e has zero nodes and t4 has 4
/- B. Function [10 points]
No recurisive => 0 points
5 for simple mistakes (parenthesis)
10 for correct
Define a function called tree_size that takes
a tree (of α for any type α), and that returns
the number of values of this type (which is the
same as the number of nodes) in the tree. Make
type argument implicit. You may open the tree
namespace if you wish.
-/
open tree
def tree_size {α : Type}: tree α → ℕ
| (empty) := 0
| (node v l r) := 1 + tree_size l + tree_size r
/-
4. Partial functions [20 points]
A partial function is a function that is not defined
for all values of its argument types.
Here's an example: a function that takes two natural
numbers, a and b, and that returns a representation
of the rational number (fraction), a/b.
One might start with the following function. It takes
two natural numbers, a and b, and simply returns the
ordered pair, (a, b), which we will take to represent
the fraction, a/b.
-/
def mk_rat' : ℕ → ℕ → (prod ℕ ℕ)
| a b := (a, b) -- notation for prod.mk a b
/-
10 for header (5 points if they attempted to use option but did not succeed)
5 for "none"
5 for "some"
10 points if partially correct and heading in right direction
The problem with this definition is that it "works"
even when b = 0, even though a/0 is always undefined.
The problem is that the mathematical function that
takes two natural numbers, a and b, and returns a/b,
is *partial*. It's undefined whenever b = 0.
Your task is to write an improved version of mk_rat',
call it mk_rat, that correctly represents this partial
function as a total function in Lean.
Hints: You will have to change the type of the mk_rat'
function. And do case analysis on the second argument.
Finally, put parenthesis around (prod ℕ ℕ) where it
will appear in the new function type specification, so
that Lean parses your definition correctly.
-/
def mk_rat : ℕ → ℕ → option (prod ℕ ℕ)
| a 0 := none
| a b := some (a,b)
-- This one is also correct. lean infers the type
def mk_rat'' : ℕ → ℕ → option (prod ℕ ℕ)
| a 0 := none
| a b := (a, b)
/-
5. EXTRA CREDIT. [10 points]
All or nothing
Define function, polymorphic with one type parameter, α, called
filter, that takes a value of type list α and a function,f, of
type α → bool, and that returns a value of type list α with all
and only those elements, e, of the given list for which (f e) is
true. To test your function, define a function called is_even that
takes a natural number and returns true if it is even, otherwise
false. Finally test your filter function by applying it to the
list [0, 1, 2, 3, 4, 5, 6] using the is_even predicate function.
The result should be the list, [0, 2, 4, 6].
-/
open list
def filter {α : Type} : list α → (α → bool) → list α
| (nil) _ := nil
| (cons h t) f := match f(h) with
| tt := cons h (filter t f)
| ff := filter t f
end
def is_even: ℕ → bool
| n := match (n % 2) with
| 0 := tt
| _ := ff
end
def l1 := [0, 1, 2, 3, 4, 5, 6]
#reduce filter l1 is_even
|
d1c445b572fe9dd9ab8f366474b2a33ce93d49fd | 4727251e0cd73359b15b664c3170e5d754078599 | /src/analysis/complex/conformal.lean | 9e8d060c0fb906ffc8fd47392b373c8a31270022 | [
"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 | 4,857 | lean | /-
Copyright (c) 2021 Yourong Zang. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yourong Zang
-/
import analysis.complex.isometry
import analysis.normed_space.conformal_linear_map
/-!
# Conformal maps between complex vector spaces
We prove the sufficient and necessary conditions for a real-linear map between complex vector spaces
to be conformal.
## Main results
* `is_conformal_map_complex_linear`: a nonzero complex linear map into an arbitrary complex
normed space is conformal.
* `is_conformal_map_complex_linear_conj`: the composition of a nonzero complex linear map with
`conj` is complex linear.
* `is_conformal_map_iff_is_complex_or_conj_linear`: a real linear map between the complex
plane is conformal iff it's complex
linear or the composition of
some complex linear map and `conj`.
## Warning
Antiholomorphic functions such as the complex conjugate are considered as conformal functions in
this file.
-/
noncomputable theory
open complex continuous_linear_map
open_locale complex_conjugate
lemma is_conformal_map_conj : is_conformal_map (conj_lie : ℂ →L[ℝ] ℂ) :=
conj_lie.to_linear_isometry.is_conformal_map
section conformal_into_complex_normed
variables {E : Type*} [normed_group E] [normed_space ℝ E] [normed_space ℂ E]
{z : ℂ} {g : ℂ →L[ℝ] E} {f : ℂ → E}
lemma is_conformal_map_complex_linear {map : ℂ →L[ℂ] E} (nonzero : map ≠ 0) :
is_conformal_map (map.restrict_scalars ℝ) :=
begin
have minor₁ : ∥map 1∥ ≠ 0,
{ simpa [ext_ring_iff] using nonzero },
refine ⟨∥map 1∥, minor₁, ⟨∥map 1∥⁻¹ • map, _⟩, _⟩,
{ intros x,
simp only [linear_map.smul_apply],
have : x = x • 1 := by rw [smul_eq_mul, mul_one],
nth_rewrite 0 [this],
rw [_root_.coe_coe map, linear_map.coe_coe_is_scalar_tower],
simp only [map.coe_coe, map.map_smul, norm_smul, norm_inv, norm_norm],
field_simp [minor₁], },
{ ext1,
simp [minor₁] },
end
lemma is_conformal_map_complex_linear_conj
{map : ℂ →L[ℂ] E} (nonzero : map ≠ 0) :
is_conformal_map ((map.restrict_scalars ℝ).comp (conj_cle : ℂ →L[ℝ] ℂ)) :=
(is_conformal_map_complex_linear nonzero).comp is_conformal_map_conj
end conformal_into_complex_normed
section conformal_into_complex_plane
open continuous_linear_map
variables {f : ℂ → ℂ} {z : ℂ} {g : ℂ →L[ℝ] ℂ}
lemma is_conformal_map.is_complex_or_conj_linear (h : is_conformal_map g) :
(∃ (map : ℂ →L[ℂ] ℂ), map.restrict_scalars ℝ = g) ∨
(∃ (map : ℂ →L[ℂ] ℂ), map.restrict_scalars ℝ = g ∘L ↑conj_cle) :=
begin
rcases h with ⟨c, hc, li, rfl⟩,
obtain ⟨li, rfl⟩ : ∃ li' : ℂ ≃ₗᵢ[ℝ] ℂ, li'.to_linear_isometry = li,
from ⟨li.to_linear_isometry_equiv rfl, by { ext1, refl }⟩,
rcases linear_isometry_complex li with ⟨a, rfl|rfl⟩,
-- let rot := c • (a : ℂ) • continuous_linear_map.id ℂ ℂ,
{ refine or.inl ⟨c • (a : ℂ) • continuous_linear_map.id ℂ ℂ, _⟩,
ext1,
simp only [coe_restrict_scalars', smul_apply, linear_isometry.coe_to_continuous_linear_map,
linear_isometry_equiv.coe_to_linear_isometry, rotation_apply, id_apply, smul_eq_mul] },
{ refine or.inr ⟨c • (a : ℂ) • continuous_linear_map.id ℂ ℂ, _⟩,
ext1,
simp only [coe_restrict_scalars', smul_apply, linear_isometry.coe_to_continuous_linear_map,
linear_isometry_equiv.coe_to_linear_isometry, rotation_apply, id_apply, smul_eq_mul,
comp_apply, linear_isometry_equiv.trans_apply, continuous_linear_equiv.coe_coe,
conj_cle_apply, conj_lie_apply, conj_conj] },
end
/-- A real continuous linear map on the complex plane is conformal if and only if the map or its
conjugate is complex linear, and the map is nonvanishing. -/
lemma is_conformal_map_iff_is_complex_or_conj_linear:
is_conformal_map g ↔
((∃ (map : ℂ →L[ℂ] ℂ), map.restrict_scalars ℝ = g) ∨
(∃ (map : ℂ →L[ℂ] ℂ), map.restrict_scalars ℝ = g ∘L ↑conj_cle)) ∧ g ≠ 0 :=
begin
split,
{ exact λ h, ⟨h.is_complex_or_conj_linear, h.ne_zero⟩, },
{ rintros ⟨⟨map, rfl⟩ | ⟨map, hmap⟩, h₂⟩,
{ refine is_conformal_map_complex_linear _,
contrapose! h₂ with w,
simp [w] },
{ have minor₁ : g = (map.restrict_scalars ℝ) ∘L ↑conj_cle,
{ ext1,
simp [hmap] },
rw minor₁ at ⊢ h₂,
refine is_conformal_map_complex_linear_conj _,
contrapose! h₂ with w,
simp [w] } }
end
end conformal_into_complex_plane
|
2bd10121de68b075812f42c8da9502cb94410ea2 | 82e44445c70db0f03e30d7be725775f122d72f3e | /src/algebra/module/projective.lean | 0730192a1210812aa4c921f05b658f84995635a6 | [
"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 | 6,834 | lean | /-
Copyright (c) 2021 Kevin Buzzard. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kevin Buzzard
-/
import algebra.module.basic
import linear_algebra.finsupp
import linear_algebra.free_module
/-!
# Projective modules
This file contains a definition of a projective module, the proof that
our definition is equivalent to a lifting property, and the
proof that all free modules are projective.
## Main definitions
Let `R` be a ring (or a semiring) and let `M` be an `R`-module.
* `is_projective R M` : the proposition saying that `M` is a projective `R`-module.
## Main theorems
* `is_projective.lifting_property` : a map from a projective module can be lifted along
a surjection.
* `is_projective.of_lifting_property` : If for all R-module surjections `A →ₗ B`, all
maps `M →ₗ B` lift to `M →ₗ A`, then `M` is projective.
* `is_projective.of_free` : Free modules are projective
## Implementation notes
The actual definition of projective we use is that the natural R-module map
from the free R-module on the type M down to M splits. This is more convenient
than certain other definitions which involve quantifying over universes,
and also universe-polymorphic (the ring and module can be in different universes).
We require that the module sits in at least as high a universe as the ring:
without this, free modules don't even exist,
and it's unclear if projective modules are even a useful notion.
## References
https://en.wikipedia.org/wiki/Projective_module
## TODO
- Direct sum of two projective modules is projective.
- Arbitrary sum of projective modules is projective.
All of these should be relatively straightforward.
## Tags
projective module
-/
universes u v
/- The actual implementation we choose: `P` is projective if the natural surjection
from the free `R`-module on `P` to `P` splits. -/
/-- An R-module is projective if it is a direct summand of a free module, or equivalently
if maps from the module lift along surjections. There are several other equivalent
definitions. -/
class module.projective (R : Type u) [semiring R] (P : Type (max u v)) [add_comm_monoid P]
[module R P] : Prop :=
(out : ∃ s : P →ₗ[R] (P →₀ R), function.left_inverse (finsupp.total P P R id) s)
namespace module
lemma projective_def {R : Type u} [semiring R] {P : Type (max u v)} [add_comm_monoid P]
[module R P] : projective R P ↔
(∃ s : P →ₗ[R] (P →₀ R), function.left_inverse (finsupp.total P P R id) s) :=
⟨λ h, h.1, λ h, ⟨h⟩⟩
section semiring
variables {R : Type u} [semiring R] {P : Type (max u v)} [add_comm_monoid P] [module R P]
{M : Type (max u v)} [add_comm_group M] [module R M] {N : Type*} [add_comm_group N] [module R N]
/-- A projective R-module has the property that maps from it lift along surjections. -/
theorem projective_lifting_property [h : projective R P] (f : M →ₗ[R] N) (g : P →ₗ[R] N)
(hf : function.surjective f) : ∃ (h : P →ₗ[R] M), f.comp h = g :=
begin
/-
Here's the first step of the proof.
Recall that `X →₀ R` is Lean's way of talking about the free `R`-module
on a type `X`. The universal property `finsupp.total` says that to a map
`X → N` from a type to an `R`-module, we get an associated R-module map
`(X →₀ R) →ₗ N`. Apply this to a (noncomputable) map `P → M` coming from the map
`P →ₗ N` and a random splitting of the surjection `M →ₗ N`, and we get
a map `φ : (P →₀ R) →ₗ M`.
-/
let φ : (P →₀ R) →ₗ[R] M := finsupp.total _ _ _ (λ p, function.surj_inv hf (g p)),
-- By projectivity we have a map `P →ₗ (P →₀ R)`;
cases h.out with s hs,
-- Compose to get `P →ₗ M`. This works.
use φ.comp s,
ext p,
conv_rhs {rw ← hs p},
simp [φ, finsupp.total_apply, function.surj_inv_eq hf],
end
/-- A module which satisfies the universal property is projective. Note that the universe variables
in `huniv` are somewhat restricted. -/
theorem projective_of_lifting_property'
-- If for all surjections of `R`-modules `M →ₗ N`, all maps `P →ₗ N` lift to `P →ₗ M`,
(huniv : ∀ {M : Type (max v u)} {N : Type (max u v)} [add_comm_monoid M] [add_comm_monoid N],
by exactI
∀ [module R M] [module R N],
by exactI
∀ (f : M →ₗ[R] N) (g : P →ₗ[R] N),
function.surjective f → ∃ (h : P →ₗ[R] M), f.comp h = g) :
-- then `P` is projective.
projective R P :=
begin
-- let `s` be the universal map `(P →₀ R) →ₗ P` coming from the identity map `P →ₗ P`.
obtain ⟨s, hs⟩ : ∃ (s : P →ₗ[R] P →₀ R),
(finsupp.total P P R id).comp s = linear_map.id :=
huniv (finsupp.total P P R (id : P → P)) (linear_map.id : P →ₗ[R] P) _,
-- This `s` works.
{ use s,
rwa linear_map.ext_iff at hs },
{ intro p,
use finsupp.single p 1,
simp },
end
end semiring
section ring
variables {R : Type u} [ring R] {P : Type (max u v)} [add_comm_group P] [module R P]
/-- A variant of `of_lifting_property'` when we're working over a `[ring R]`,
which only requires quantifying over modules with an `add_comm_group` instance. -/
theorem projective_of_lifting_property
-- If for all surjections of `R`-modules `M →ₗ N`, all maps `P →ₗ N` lift to `P →ₗ M`,
(huniv : ∀ {M : Type (max v u)} {N : Type (max u v)} [add_comm_group M] [add_comm_group N],
by exactI
∀ [module R M] [module R N],
by exactI
∀ (f : M →ₗ[R] N) (g : P →ₗ[R] N),
function.surjective f → ∃ (h : P →ₗ[R] M), f.comp h = g) :
-- then `P` is projective.
projective R P :=
-- We could try and prove this *using* `of_lifting_property`,
-- but this quickly leads to typeclass hell,
-- so we just prove it over again.
begin
-- let `s` be the universal map `(P →₀ R) →ₗ P` coming from the identity map `P →ₗ P`.
obtain ⟨s, hs⟩ : ∃ (s : P →ₗ[R] P →₀ R),
(finsupp.total P P R id).comp s = linear_map.id :=
huniv (finsupp.total P P R (id : P → P)) (linear_map.id : P →ₗ[R] P) _,
-- This `s` works.
{ use s,
rwa linear_map.ext_iff at hs },
{ intro p,
use finsupp.single p 1,
simp },
end
/-- Free modules are projective. -/
theorem projective_of_basis {ι : Type*} (b : basis ι R P) : projective R P :=
begin
-- need P →ₗ (P →₀ R) for definition of projective.
-- get it from `ι → (P →₀ R)` coming from `b`.
use b.constr ℕ (λ i, finsupp.single (b i) (1 : R)),
intro m,
simp only [b.constr_apply, mul_one, id.def, finsupp.smul_single', finsupp.total_single,
linear_map.map_finsupp_sum],
exact b.total_repr m,
end
@[priority 100]
instance projective_of_free [module.free R P] : module.projective R P :=
projective_of_basis $ module.free.choose_basis R P
end ring
end module
|
24a768a5188b642ac75c7a32e32efc722f2e492a | b3fced0f3ff82d577384fe81653e47df68bb2fa1 | /src/algebra/group/hom.lean | 0137e842f31762159cb2cf0a47a1c8287c78d34b | [
"Apache-2.0"
] | permissive | ratmice/mathlib | 93b251ef5df08b6fd55074650ff47fdcc41a4c75 | 3a948a6a4cd5968d60e15ed914b1ad2f4423af8d | refs/heads/master | 1,599,240,104,318 | 1,572,981,183,000 | 1,572,981,183,000 | 219,830,178 | 0 | 0 | Apache-2.0 | 1,572,980,897,000 | 1,572,980,896,000 | null | UTF-8 | Lean | false | false | 14,381 | lean | /-
Copyright (c) 2018 Patrick Massot. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Patrick Massot, Kevin Buzzard, Scott Morrison, Johan Commelin, Chris Hughes,
Johannes Hölzl, Yury Kudryashov
Homomorphisms of multiplicative and additive (semi)groups and monoids.
-/
import algebra.group.to_additive algebra.group.basic
/-!
# monoid and group homomorphisms
This file defines the basic structures for monoid and group
homomorphisms, both unbundled (e.g. `is_monoid_hom f`) and bundled
(e.g. `monoid_hom M N`, a.k.a. `M →* N`). The unbundled ones are deprecated
and the plan is to slowly remove them from mathlib.
## main definitions
monoid_hom, is_monoid_hom (deprecated), is_group_hom (deprecated)
## Notations
→* for bundled monoid homs (also use for group homs)
→+ for bundled add_monoid homs (also use for add_group homs)
## implementation notes
There's a coercion from bundled homs to fun, and the canonical
notation is to use the bundled hom as a function via this coercion.
There is no `group_hom` -- the idea is that `monoid_hom` is used.
The constructor for `monoid_hom` needs a proof of `map_one` as well
as `map_mul`; a separate constructor `monoid_hom.mk'` will construct
group homs (i.e. monoid homs between groups) given only a proof
that multiplication is preserved,
Throughout the `monoid_hom` section implicit `{}` brackets are often used instead of type class `[]` brackets.
This is done when the instances can be inferred because they are implicit arguments to the type `monoid_hom`.
When they can be inferred from the type it is faster to use this method than to use type class inference.
## Tags
is_group_hom, is_monoid_hom, monoid_hom
-/
universes u v
variables {α : Type u} {β : Type v}
/-- Predicate for maps which preserve an addition. -/
class is_add_hom {α β : Type*} [has_add α] [has_add β] (f : α → β) : Prop :=
(map_add : ∀ x y, f (x + y) = f x + f y)
/-- Predicate for maps which preserve a multiplication. -/
@[to_additive]
class is_mul_hom {α β : Type*} [has_mul α] [has_mul β] (f : α → β) : Prop :=
(map_mul : ∀ x y, f (x * y) = f x * f y)
namespace is_mul_hom
variables [has_mul α] [has_mul β] {γ : Type*} [has_mul γ]
/-- The identity map preserves multiplication. -/
@[to_additive "The identity map preserves addition"]
instance id : is_mul_hom (id : α → α) := {map_mul := λ _ _, rfl}
/-- The composition of maps which preserve multiplication, also preserves multiplication. -/
@[to_additive "The composition of addition preserving maps also preserves addition"]
instance comp (f : α → β) (g : β → γ) [is_mul_hom f] [hg : is_mul_hom g] : is_mul_hom (g ∘ f) :=
{ map_mul := λ x y, by simp only [function.comp, map_mul f, map_mul g] }
/-- A product of maps which preserve multiplication,
preserves multiplication when the target is commutative. -/
@[instance, to_additive]
lemma mul {α β} [semigroup α] [comm_semigroup β]
(f g : α → β) [is_mul_hom f] [is_mul_hom g] :
is_mul_hom (λa, f a * g a) :=
{ map_mul := assume a b, by simp only [map_mul f, map_mul g, mul_comm, mul_assoc, mul_left_comm] }
/-- The inverse of a map which preserves multiplication,
preserves multiplication when the target is commutative. -/
@[instance, to_additive]
lemma inv {α β} [has_mul α] [comm_group β] (f : α → β) [is_mul_hom f] :
is_mul_hom (λa, (f a)⁻¹) :=
{ map_mul := assume a b, (map_mul f a b).symm ▸ mul_inv _ _ }
end is_mul_hom
/-- Predicate for add_monoid homomorphisms (deprecated -- use the bundled `monoid_hom` version). -/
class is_add_monoid_hom [add_monoid α] [add_monoid β] (f : α → β) extends is_add_hom f : Prop :=
(map_zero : f 0 = 0)
/-- Predicate for monoid homomorphisms (deprecated -- use the bundled `monoid_hom` version). -/
@[to_additive is_add_monoid_hom]
class is_monoid_hom [monoid α] [monoid β] (f : α → β) extends is_mul_hom f : Prop :=
(map_one : f 1 = 1)
namespace is_monoid_hom
variables [monoid α] [monoid β] (f : α → β) [is_monoid_hom f]
/-- A monoid homomorphism preserves multiplication. -/
@[to_additive]
lemma map_mul (x y) : f (x * y) = f x * f y :=
is_mul_hom.map_mul f x y
end is_monoid_hom
/-- A map to a group preserving multiplication is a monoid homomorphism. -/
@[to_additive]
theorem is_monoid_hom.of_mul [monoid α] [group β] (f : α → β) [is_mul_hom f] :
is_monoid_hom f :=
{ map_one := mul_self_iff_eq_one.1 $ by rw [← is_mul_hom.map_mul f, one_mul] }
namespace is_monoid_hom
variables [monoid α] [monoid β] (f : α → β) [is_monoid_hom f]
/-- The identity map is a monoid homomorphism. -/
@[to_additive]
instance id : is_monoid_hom (@id α) := { map_one := rfl }
/-- The composite of two monoid homomorphisms is a monoid homomorphism. -/
@[to_additive]
instance comp {γ} [monoid γ] (g : β → γ) [is_monoid_hom g] :
is_monoid_hom (g ∘ f) :=
{ map_one := show g _ = 1, by rw [map_one f, map_one g] }
end is_monoid_hom
namespace is_add_monoid_hom
/-- Left multiplication in a ring is an additive monoid morphism. -/
instance is_add_monoid_hom_mul_left {γ : Type*} [semiring γ] (x : γ) :
is_add_monoid_hom (λ y : γ, x * y) :=
{ map_zero := mul_zero x, map_add := λ y z, mul_add x y z }
/-- Right multiplication in a ring is an additive monoid morphism. -/
instance is_add_monoid_hom_mul_right {γ : Type*} [semiring γ] (x : γ) :
is_add_monoid_hom (λ y : γ, y * x) :=
{ map_zero := zero_mul x, map_add := λ y z, add_mul y z x }
end is_add_monoid_hom
/-- Predicate for additive group homomorphism (deprecated -- use bundled `monoid_hom`). -/
class is_add_group_hom [add_group α] [add_group β] (f : α → β) extends is_add_hom f : Prop
/-- Predicate for group homomorphisms (deprecated -- use bundled `monoid_hom`). -/
@[to_additive is_add_group_hom]
class is_group_hom [group α] [group β] (f : α → β) extends is_mul_hom f : Prop
/-- Construct `is_group_hom` from its only hypothesis. The default constructor tries to get
`is_mul_hom` from class instances, and this makes some proofs fail. -/
@[to_additive]
lemma is_group_hom.mk' [group α] [group β] {f : α → β} (hf : ∀ x y, f (x * y) = f x * f y) :
is_group_hom f :=
{ map_mul := hf }
namespace is_group_hom
variables [group α] [group β] (f : α → β) [is_group_hom f]
open is_mul_hom (map_mul)
/-- A group homomorphism is a monoid homomorphism. -/
@[to_additive to_is_add_monoid_hom]
instance to_is_monoid_hom : is_monoid_hom f :=
is_monoid_hom.of_mul f
/-- A group homomorphism sends 1 to 1. -/
@[to_additive]
lemma map_one : f 1 = 1 := is_monoid_hom.map_one f
/-- A group homomorphism sends inverses to inverses. -/
@[to_additive]
theorem map_inv (a : α) : f a⁻¹ = (f a)⁻¹ :=
eq_inv_of_mul_eq_one $ by rw [← map_mul f, inv_mul_self, map_one f]
/-- The identity is a group homomorphism. -/
@[to_additive]
instance id : is_group_hom (@id α) := { }
/-- The composition of two group homomomorphisms is a group homomorphism. -/
@[to_additive]
instance comp {γ} [group γ] (g : β → γ) [is_group_hom g] : is_group_hom (g ∘ f) := { }
/-- A group homomorphism is injective iff its kernel is trivial. -/
@[to_additive]
lemma injective_iff (f : α → β) [is_group_hom f] :
function.injective f ↔ (∀ a, f a = 1 → a = 1) :=
⟨λ h _, by rw ← is_group_hom.map_one f; exact @h _ _,
λ h x y hxy, by rw [← inv_inv (f x), inv_eq_iff_mul_eq_one, ← map_inv f,
← map_mul f] at hxy;
simpa using inv_eq_of_mul_eq_one (h _ hxy)⟩
/-- The product of group homomorphisms is a group homomorphism if the target is commutative. -/
@[instance, to_additive]
lemma mul {α β} [group α] [comm_group β]
(f g : α → β) [is_group_hom f] [is_group_hom g] :
is_group_hom (λa, f a * g a) :=
{ }
/-- The inverse of a group homomorphism is a group homomorphism if the target is commutative. -/
@[instance, to_additive]
lemma inv {α β} [group α] [comm_group β] (f : α → β) [is_group_hom f] :
is_group_hom (λa, (f a)⁻¹) :=
{ }
end is_group_hom
/-- Inversion is a group homomorphism if the group is commutative. -/
@[instance, to_additive is_add_group_hom]
lemma inv.is_group_hom [comm_group α] : is_group_hom (has_inv.inv : α → α) :=
{ map_mul := mul_inv }
namespace is_add_group_hom
variables [add_group α] [add_group β] (f : α → β) [is_add_group_hom f]
/-- Additive group homomorphisms commute with subtraction. -/
lemma map_sub (a b) : f (a - b) = f a - f b :=
calc f (a + -b) = f a + f (-b) : is_add_hom.map_add f _ _
... = f a + -f b : by rw [map_neg f]
end is_add_group_hom
/-- The difference of two additive group homomorphisms is an additive group
homomorphism if the target is commutative. -/
@[instance]
lemma is_add_group_hom.sub {α β} [add_group α] [add_comm_group β]
(f g : α → β) [is_add_group_hom f] [is_add_group_hom g] :
is_add_group_hom (λa, f a - g a) :=
is_add_group_hom.add f (λa, - g a)
/-- Bundled add_monoid homomorphisms; use this for bundled add_group homomorphisms too. -/
structure add_monoid_hom (M : Type*) (N : Type*) [add_monoid M] [add_monoid N] :=
(to_fun : M → N)
(map_zero' : to_fun 0 = 0)
(map_add' : ∀ x y, to_fun (x + y) = to_fun x + to_fun y)
infixr ` →+ `:25 := add_monoid_hom
/-- Bundled monoid homomorphisms; use this for bundled group homomorphisms too. -/
@[to_additive add_monoid_hom]
structure monoid_hom (M : Type*) (N : Type*) [monoid M] [monoid N] :=
(to_fun : M → N)
(map_one' : to_fun 1 = 1)
(map_mul' : ∀ x y, to_fun (x * y) = to_fun x * to_fun y)
infixr ` →* `:25 := monoid_hom
@[to_additive]
instance {M : Type*} {N : Type*} {mM : monoid M} {mN : monoid N} : has_coe_to_fun (M →* N) :=
⟨_, monoid_hom.to_fun⟩
namespace monoid_hom
variables {M : Type*} {N : Type*} {P : Type*} [mM : monoid M] [mN : monoid N] {mP : monoid P}
variables {G : Type*} {H : Type*} [group G] [comm_group H]
include mM mN
/-- Interpret a map `f : M → N` as a homomorphism `M →* N`. -/
@[to_additive "Interpret a map `f : M → N` as a homomorphism `M →+ N`."]
def of (f : M → N) [h : is_monoid_hom f] : M →* N :=
{ to_fun := f,
map_one' := h.2,
map_mul' := h.1.1 }
variables {mM mN mP}
@[simp, to_additive]
lemma coe_of (f : M → N) [is_monoid_hom f] : ⇑ (monoid_hom.of f) = f :=
rfl
@[to_additive]
lemma coe_inj ⦃f g : M →* N⦄ (h : (f : M → N) = g) : f = g :=
by cases f; cases g; cases h; refl
@[extensionality, to_additive]
lemma ext ⦃f g : M →* N⦄ (h : ∀ x, f x = g x) : f = g :=
coe_inj (funext h)
@[to_additive]
lemma ext_iff {f g : M →* N} : f = g ↔ ∀ x, f x = g x :=
⟨λ h x, h ▸ rfl, λ h, ext h⟩
/-- If f is a monoid homomorphism then f 1 = 1. -/
@[simp, to_additive]
lemma map_one (f : M →* N) : f 1 = 1 := f.map_one'
/-- If f is a monoid homomorphism then f (a * b) = f a * f b. -/
@[simp, to_additive]
lemma map_mul (f : M →* N) (a b : M) : f (a * b) = f a * f b := f.map_mul' a b
@[to_additive is_add_monoid_hom]
instance (f : M →* N) : is_monoid_hom (f : M → N) :=
{ map_mul := f.map_mul,
map_one := f.map_one }
omit mN mM
@[to_additive is_add_group_hom]
instance (f : G →* H) : is_group_hom (f : G → H) :=
{ map_mul := f.map_mul }
/-- The identity map from a monoid to itself. -/
@[to_additive]
def id (M : Type*) [monoid M] : M →* M :=
{ to_fun := id,
map_one' := rfl,
map_mul' := λ _ _, rfl }
include mM mN mP
/-- Composition of monoid morphisms is a monoid morphism. -/
@[to_additive]
def comp (hnp : N →* P) (hmn : M →* N) : M →* P :=
{ to_fun := hnp ∘ hmn,
map_one' := by simp,
map_mul' := by simp }
omit mP
variables [mM] [mN]
@[to_additive]
protected def one : M →* N :=
{ to_fun := λ _, 1,
map_one' := rfl,
map_mul' := λ _ _, (one_mul 1).symm }
@[to_additive]
instance : has_one (M →* N) := ⟨monoid_hom.one⟩
omit mM mN
/-- The product of two monoid morphisms is a monoid morphism if the target is commutative. -/
@[to_additive]
protected def mul {M N} {mM : monoid M} [comm_monoid N] (f g : M →* N) : M →* N :=
{ to_fun := λ m, f m * g m,
map_one' := show f 1 * g 1 = 1, by simp,
map_mul' := begin intros, show f (x * y) * g (x * y) = f x * g x * (f y * g y),
rw [f.map_mul, g.map_mul, ←mul_assoc, ←mul_assoc, mul_right_comm (f x)], end }
@[to_additive]
instance {M N} {mM : monoid M} [comm_monoid N] : has_mul (M →* N) := ⟨monoid_hom.mul⟩
/-- (M →* N) is a comm_monoid if N is commutative. -/
@[to_additive add_comm_monoid]
instance {M N} [monoid M] [comm_monoid N] : comm_monoid (M →* N) :=
{ mul := (*),
mul_assoc := by intros; ext; apply mul_assoc,
one := 1,
one_mul := by intros; ext; apply one_mul,
mul_one := by intros; ext; apply mul_one,
mul_comm := by intros; ext; apply mul_comm }
/-- Group homomorphisms preserve inverse. -/
@[simp, to_additive]
theorem map_inv {G H} [group G] [group H] (f : G →* H) (g : G) : f g⁻¹ = (f g)⁻¹ :=
eq_inv_of_mul_eq_one $ by rw [←f.map_mul, inv_mul_self, f.map_one]
/-- Group homomorphisms preserve division. -/
@[simp, to_additive]
theorem map_mul_inv {G H} [group G] [group H] (f : G →* H) (g h : G) :
f (g * h⁻¹) = (f g) * (f h)⁻¹ := by rw [f.map_mul, f.map_inv]
include mM
/-- Makes a group homomomorphism from a proof that the map preserves multiplication. -/
@[to_additive]
def mk' (f : M → G) (map_mul : ∀ a b : M, f (a * b) = f a * f b) : M →* G :=
{ to_fun := f,
map_mul' := map_mul,
map_one' := mul_self_iff_eq_one.1 $ by rw [←map_mul, mul_one] }
omit mM
/-- The inverse of a monoid homomorphism is a monoid homomorphism if the target is
a commutative group.-/
@[to_additive]
protected def inv {M G} {mM : monoid M} [comm_group G] (f : M →* G) : M →* G :=
mk' (λ g, (f g)⁻¹) $ λ a b, by rw [←mul_inv, f.map_mul]
@[to_additive]
instance {M G} [monoid M] [comm_group G] : has_inv (M →* G) := ⟨monoid_hom.inv⟩
/-- (M →* G) is a comm_group if G is a comm_group -/
@[to_additive add_comm_group]
instance {M G} [monoid M] [comm_group G] : comm_group (M →* G) :=
{ inv := has_inv.inv,
mul_left_inv := by intros; ext; apply mul_left_inv,
..monoid_hom.comm_monoid }
end monoid_hom
/-- Additive group homomorphisms preserve subtraction. -/
@[simp] theorem add_monoid_hom.map_sub {G H} [add_group G] [add_group H] (f : G →+ H) (g h : G) :
f (g - h) = (f g) - (f h) := f.map_add_neg g h
|
fb3520c1d2ccdc944ceb8e43248f5ec81f6fc798 | 6432ea7a083ff6ba21ea17af9ee47b9c371760f7 | /tests/lean/run/specbug.lean | 37a191da0cfdf11b2e4829aeb414bff7c3e27b90 | [
"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 | 802 | lean | @[noinline] def f (x : Bool) := x
@[noinline] def g (x y : Bool) := x
def h (x : Bool) (xs : List Nat) : List Bool :=
match x with
| true =>
let z := f true
let y := f false
xs.map fun x => g y z
| false =>
let y := f false
let z := f true
xs.map fun x => g y z
theorem ex1 : h true [1] = h false [1] := rfl
#eval h true [1]
#eval h false [1]
theorem ex2 : (h true [1] == h false [1]) = true :=
by native_decide
@[noinline] def f2 (a : String) := a
@[noinline] def g2 (a : String) (x : Bool) := a
def h2 (x : Bool) (xs : List Nat) : List String :=
match x with
| false =>
let a := f2 "a"
let y := f false
xs.map fun x => g2 a y
| true =>
let y := f false
let a := f2 "a"
xs.map fun x => g2 a y
#eval h2 true [1]
#eval h2 false [1]
|
29416f26c607c3af42c8358205063636a33c9de3 | 46125763b4dbf50619e8846a1371029346f4c3db | /src/logic/basic.lean | 90c9a5c9898a274890f0335f035908d35b9a8402 | [
"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 | 31,859 | 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
-/
import tactic.library_note
/-!
# Basic logic properties
This file is one of the earliest imports in mathlib.
## Implementation notes
Theorems that require decidability hypotheses are in the namespace "decidable".
Classical versions are in the namespace "classical".
In the presence of automation, this whole file may be unnecessary. On the other hand,
maybe it is useful for writing automation.
-/
section miscellany
/- We add the `inline` attribute to optimize VM computation using these declarations. For example,
`if p ∧ q then ... else ...` will not evaluate the decidability of `q` if `p` is false. -/
attribute [inline] and.decidable or.decidable decidable.false xor.decidable iff.decidable
decidable.true implies.decidable not.decidable ne.decidable
variables {α : Type*} {β : Type*}
@[reducible] def hidden {α : Sort*} {a : α} := a
def empty.elim {C : Sort*} : empty → C.
instance : subsingleton empty := ⟨λa, a.elim⟩
instance : decidable_eq empty := λa, a.elim
instance sort.inhabited : inhabited (Sort*) := ⟨punit⟩
instance sort.inhabited' : inhabited (default (Sort*)) := ⟨punit.star⟩
instance psum.inhabited_left {α β} [inhabited α] : inhabited (psum α β) := ⟨psum.inl (default _)⟩
instance psum.inhabited_right {α β} [inhabited β] : inhabited (psum α β) := ⟨psum.inr (default _)⟩
@[priority 10] instance decidable_eq_of_subsingleton
{α} [subsingleton α] : decidable_eq α
| a b := is_true (subsingleton.elim a b)
/-- Add an instance to "undo" coercion transitivity into a chain of coercions, because
most simp lemmas are stated with respect to simple coercions and will not match when
part of a chain. -/
@[simp] theorem coe_coe {α β γ} [has_coe α β] [has_coe_t β γ]
(a : α) : (a : γ) = (a : β) := rfl
theorem coe_fn_coe_trans
{α β γ} [has_coe α β] [has_coe_t_aux β γ] [has_coe_to_fun γ]
(x : α) : @coe_fn α _ x = @coe_fn β _ x := rfl
@[simp] theorem coe_fn_coe_base
{α β} [has_coe α β] [has_coe_to_fun β]
(x : α) : @coe_fn α _ x = @coe_fn β _ x := rfl
theorem coe_sort_coe_trans
{α β γ} [has_coe α β] [has_coe_t_aux β γ] [has_coe_to_sort γ]
(x : α) : @coe_sort α _ x = @coe_sort β _ x := rfl
@[simp] theorem coe_sort_coe_base
{α β} [has_coe α β] [has_coe_to_sort β]
(x : α) : @coe_sort α _ x = @coe_sort β _ x := rfl
/-- `pempty` is the universe-polymorphic analogue of `empty`. -/
@[derive decidable_eq]
inductive {u} pempty : Sort u
def pempty.elim {C : Sort*} : pempty → C.
instance subsingleton_pempty : subsingleton pempty := ⟨λa, a.elim⟩
@[simp] lemma not_nonempty_pempty : ¬ nonempty pempty :=
assume ⟨h⟩, h.elim
@[simp] theorem forall_pempty {P : pempty → Prop} : (∀ x : pempty, P x) ↔ true :=
⟨λ h, trivial, λ h x, by cases x⟩
@[simp] theorem exists_pempty {P : pempty → Prop} : (∃ x : pempty, P x) ↔ false :=
⟨λ h, by { cases h with w, cases w }, false.elim⟩
lemma congr_arg_heq {α} {β : α → Sort*} (f : ∀ a, β a) : ∀ {a₁ a₂ : α}, a₁ = a₂ → f a₁ == f a₂
| a _ rfl := heq.rfl
lemma plift.down_inj {α : Sort*} : ∀ (a b : plift α), a.down = b.down → a = b
| ⟨a⟩ ⟨b⟩ rfl := rfl
-- missing [symm] attribute for ne in core.
attribute [symm] ne.symm
lemma ne_comm {α} {a b : α} : a ≠ b ↔ b ≠ a := ⟨ne.symm, ne.symm⟩
@[simp] lemma eq_iff_eq_cancel_left {b c : α} :
(∀ {a}, a = b ↔ a = c) ↔ (b = c) :=
⟨λ h, by rw [← h], λ h a, by rw h⟩
@[simp] lemma eq_iff_eq_cancel_right {a b : α} :
(∀ {c}, a = c ↔ b = c) ↔ (a = b) :=
⟨λ h, by rw h, λ h a, by rw h⟩
end miscellany
/-!
### Declarations about propositional connectives
-/
theorem false_ne_true : false ≠ true
| h := h.symm ▸ trivial
section propositional
variables {a b c d : Prop}
/-! ### Declarations about `implies` -/
theorem iff_of_eq (e : a = b) : a ↔ b := e ▸ iff.rfl
theorem iff_iff_eq : (a ↔ b) ↔ a = b := ⟨propext, iff_of_eq⟩
@[simp] lemma eq_iff_iff {p q : Prop} : (p = q) ↔ (p ↔ q) := iff_iff_eq.symm
@[simp] theorem imp_self : (a → a) ↔ true := iff_true_intro id
theorem imp_intro {α β : Prop} (h : α) : β → α := λ _, h
theorem imp_false : (a → false) ↔ ¬ a := iff.rfl
theorem imp_and_distrib {α} : (α → b ∧ c) ↔ (α → b) ∧ (α → c) :=
⟨λ h, ⟨λ ha, (h ha).left, λ ha, (h ha).right⟩,
λ h ha, ⟨h.left ha, h.right ha⟩⟩
@[simp] theorem and_imp : (a ∧ b → c) ↔ (a → b → c) :=
iff.intro (λ h ha hb, h ⟨ha, hb⟩) (λ h ⟨ha, hb⟩, h ha hb)
theorem iff_def : (a ↔ b) ↔ (a → b) ∧ (b → a) :=
iff_iff_implies_and_implies _ _
theorem iff_def' : (a ↔ b) ↔ (b → a) ∧ (a → b) :=
iff_def.trans and.comm
theorem imp_true_iff {α : Sort*} : (α → true) ↔ true :=
iff_true_intro $ λ_, trivial
@[simp] theorem imp_iff_right (ha : a) : (a → b) ↔ b :=
⟨λf, f ha, imp_intro⟩
/-! ### Declarations about `not` -/
def not.elim {α : Sort*} (H1 : ¬a) (H2 : a) : α := absurd H2 H1
@[reducible] theorem not.imp {a b : Prop} (H2 : ¬b) (H1 : a → b) : ¬a := mt H1 H2
theorem not_not_of_not_imp : ¬(a → b) → ¬¬a :=
mt not.elim
theorem not_of_not_imp {a : Prop} : ¬(a → b) → ¬b :=
mt imp_intro
theorem dec_em (p : Prop) [decidable p] : p ∨ ¬p := decidable.em p
theorem by_contradiction {p} [decidable p] : (¬p → false) → p :=
decidable.by_contradiction
@[simp] theorem not_not [decidable a] : ¬¬a ↔ a :=
iff.intro by_contradiction not_not_intro
theorem of_not_not [decidable a] : ¬¬a → a :=
by_contradiction
theorem of_not_imp [decidable a] (h : ¬ (a → b)) : a :=
by_contradiction (not_not_of_not_imp h)
theorem not.imp_symm [decidable a] (h : ¬a → b) (hb : ¬b) : a :=
by_contradiction $ hb ∘ h
theorem not_imp_comm [decidable a] [decidable b] : (¬a → b) ↔ (¬b → a) :=
⟨not.imp_symm, not.imp_symm⟩
theorem imp.swap : (a → b → c) ↔ (b → a → c) :=
⟨function.swap, function.swap⟩
theorem imp_not_comm : (a → ¬b) ↔ (b → ¬a) :=
imp.swap
/-! ### Declarations about `and` -/
theorem not_and_of_not_left (b : Prop) : ¬a → ¬(a ∧ b) :=
mt and.left
theorem not_and_of_not_right (a : Prop) {b : Prop} : ¬b → ¬(a ∧ b) :=
mt and.right
theorem and.imp_left (h : a → b) : a ∧ c → b ∧ c :=
and.imp h id
theorem and.imp_right (h : a → b) : c ∧ a → c ∧ b :=
and.imp id h
lemma and.right_comm : (a ∧ b) ∧ c ↔ (a ∧ c) ∧ b :=
by simp [and.left_comm, and.comm]
lemma and.rotate : a ∧ b ∧ c ↔ b ∧ c ∧ a :=
by simp [and.left_comm, and.comm]
theorem and_not_self_iff (a : Prop) : a ∧ ¬ a ↔ false :=
iff.intro (assume h, (h.right) (h.left)) (assume h, h.elim)
theorem not_and_self_iff (a : Prop) : ¬ a ∧ a ↔ false :=
iff.intro (assume ⟨hna, ha⟩, hna ha) false.elim
theorem and_iff_left_of_imp {a b : Prop} (h : a → b) : (a ∧ b) ↔ a :=
iff.intro and.left (λ ha, ⟨ha, h ha⟩)
theorem and_iff_right_of_imp {a b : Prop} (h : b → a) : (a ∧ b) ↔ b :=
iff.intro and.right (λ hb, ⟨h hb, hb⟩)
lemma and.congr_right_iff : (a ∧ b ↔ a ∧ c) ↔ (a → (b ↔ c)) :=
⟨λ h ha, by simp [ha] at h; exact h, and_congr_right⟩
/-! ### Declarations about `or` -/
theorem or_of_or_of_imp_of_imp (h₁ : a ∨ b) (h₂ : a → c) (h₃ : b → d) : c ∨ d :=
or.imp h₂ h₃ h₁
theorem or_of_or_of_imp_left (h₁ : a ∨ c) (h : a → b) : b ∨ c :=
or.imp_left h h₁
theorem or_of_or_of_imp_right (h₁ : c ∨ a) (h : a → b) : c ∨ b :=
or.imp_right h h₁
theorem or.elim3 (h : a ∨ b ∨ c) (ha : a → d) (hb : b → d) (hc : c → d) : d :=
or.elim h ha (assume h₂, or.elim h₂ hb hc)
theorem or_imp_distrib : (a ∨ b → c) ↔ (a → c) ∧ (b → c) :=
⟨assume h, ⟨assume ha, h (or.inl ha), assume hb, h (or.inr hb)⟩,
assume ⟨ha, hb⟩, or.rec ha hb⟩
theorem or_iff_not_imp_left [decidable a] : a ∨ b ↔ (¬ a → b) :=
⟨or.resolve_left, λ h, dite _ or.inl (or.inr ∘ h)⟩
theorem or_iff_not_imp_right [decidable b] : a ∨ b ↔ (¬ b → a) :=
or.comm.trans or_iff_not_imp_left
theorem not_imp_not [decidable a] : (¬ a → ¬ b) ↔ (b → a) :=
⟨assume h hb, by_contradiction $ assume na, h na hb, mt⟩
/-! ### Declarations about distributivity -/
theorem and_or_distrib_left : a ∧ (b ∨ c) ↔ (a ∧ b) ∨ (a ∧ c) :=
⟨λ ⟨ha, hbc⟩, hbc.imp (and.intro ha) (and.intro ha),
or.rec (and.imp_right or.inl) (and.imp_right or.inr)⟩
theorem or_and_distrib_right : (a ∨ b) ∧ c ↔ (a ∧ c) ∨ (b ∧ c) :=
(and.comm.trans and_or_distrib_left).trans (or_congr and.comm and.comm)
theorem or_and_distrib_left : a ∨ (b ∧ c) ↔ (a ∨ b) ∧ (a ∨ c) :=
⟨or.rec (λha, and.intro (or.inl ha) (or.inl ha)) (and.imp or.inr or.inr),
and.rec $ or.rec (imp_intro ∘ or.inl) (or.imp_right ∘ and.intro)⟩
theorem and_or_distrib_right : (a ∧ b) ∨ c ↔ (a ∨ c) ∧ (b ∨ c) :=
(or.comm.trans or_and_distrib_left).trans (and_congr or.comm or.comm)
/-! Declarations about `iff` -/
theorem iff_of_true (ha : a) (hb : b) : a ↔ b :=
⟨λ_, hb, λ _, ha⟩
theorem iff_of_false (ha : ¬a) (hb : ¬b) : a ↔ b :=
⟨ha.elim, hb.elim⟩
theorem iff_true_left (ha : a) : (a ↔ b) ↔ b :=
⟨λ h, h.1 ha, iff_of_true ha⟩
theorem iff_true_right (ha : a) : (b ↔ a) ↔ b :=
iff.comm.trans (iff_true_left ha)
theorem iff_false_left (ha : ¬a) : (a ↔ b) ↔ ¬b :=
⟨λ h, mt h.2 ha, iff_of_false ha⟩
theorem iff_false_right (ha : ¬a) : (b ↔ a) ↔ ¬b :=
iff.comm.trans (iff_false_left ha)
theorem not_or_of_imp [decidable a] (h : a → b) : ¬ a ∨ b :=
if ha : a then or.inr (h ha) else or.inl ha
theorem imp_iff_not_or [decidable a] : (a → b) ↔ (¬ a ∨ b) :=
⟨not_or_of_imp, or.neg_resolve_left⟩
theorem imp_or_distrib [decidable a] : (a → b ∨ c) ↔ (a → b) ∨ (a → c) :=
by simp [imp_iff_not_or, or.comm, or.left_comm]
theorem imp_or_distrib' [decidable b] : (a → b ∨ c) ↔ (a → b) ∨ (a → c) :=
by by_cases b; simp [h, or_iff_right_of_imp ((∘) false.elim)]
theorem not_imp_of_and_not : a ∧ ¬ b → ¬ (a → b)
| ⟨ha, hb⟩ h := hb $ h ha
@[simp] theorem not_imp [decidable a] : ¬(a → b) ↔ a ∧ ¬b :=
⟨λ h, ⟨of_not_imp h, not_of_not_imp h⟩, not_imp_of_and_not⟩
-- for monotonicity
lemma imp_imp_imp
(h₀ : c → a) (h₁ : b → d) :
(a → b) → (c → d) :=
assume (h₂ : a → b),
h₁ ∘ h₂ ∘ h₀
theorem peirce (a b : Prop) [decidable a] : ((a → b) → a) → a :=
if ha : a then λ h, ha else λ h, h ha.elim
theorem peirce' {a : Prop} (H : ∀ b : Prop, (a → b) → a) : a := H _ id
theorem not_iff_not [decidable a] [decidable b] : (¬ a ↔ ¬ b) ↔ (a ↔ b) :=
by rw [@iff_def (¬ a), @iff_def' a]; exact and_congr not_imp_not not_imp_not
theorem not_iff_comm [decidable a] [decidable b] : (¬ a ↔ b) ↔ (¬ b ↔ a) :=
by rw [@iff_def (¬ a), @iff_def (¬ b)]; exact and_congr not_imp_comm imp_not_comm
theorem not_iff [decidable b] : ¬ (a ↔ b) ↔ (¬ a ↔ b) :=
by split; intro h; [split, skip]; intro h'; [by_contradiction,intro,skip];
try { refine h _; simp [*] }; rw [h',not_iff_self] at h; exact h
theorem iff_not_comm [decidable a] [decidable b] : (a ↔ ¬ b) ↔ (b ↔ ¬ a) :=
by rw [@iff_def a, @iff_def b]; exact and_congr imp_not_comm not_imp_comm
theorem iff_iff_and_or_not_and_not [decidable b] : (a ↔ b) ↔ (a ∧ b) ∨ (¬ a ∧ ¬ b) :=
by { split; intro h,
{ rw h; by_cases b; [left,right]; split; assumption },
{ cases h with h h; cases h; split; intro; { contradiction <|> assumption } } }
theorem not_and_not_right [decidable b] : ¬(a ∧ ¬b) ↔ (a → b) :=
⟨λ h ha, h.imp_symm $ and.intro ha, λ h ⟨ha, hb⟩, hb $ h ha⟩
@[inline] def decidable_of_iff (a : Prop) (h : a ↔ b) [D : decidable a] : decidable b :=
decidable_of_decidable_of_iff D h
@[inline] def decidable_of_iff' (b : Prop) (h : a ↔ b) [D : decidable b] : decidable a :=
decidable_of_decidable_of_iff D h.symm
def decidable_of_bool : ∀ (b : bool) (h : b ↔ a), decidable a
| tt h := is_true (h.1 rfl)
| ff h := is_false (mt h.2 bool.ff_ne_tt)
/-! ### De Morgan's laws -/
theorem not_and_of_not_or_not (h : ¬ a ∨ ¬ b) : ¬ (a ∧ b)
| ⟨ha, hb⟩ := or.elim h (absurd ha) (absurd hb)
theorem not_and_distrib [decidable a] : ¬ (a ∧ b) ↔ ¬a ∨ ¬b :=
⟨λ h, if ha : a then or.inr (λ hb, h ⟨ha, hb⟩) else or.inl ha, not_and_of_not_or_not⟩
theorem not_and_distrib' [decidable b] : ¬ (a ∧ b) ↔ ¬a ∨ ¬b :=
⟨λ h, if hb : b then or.inl (λ ha, h ⟨ha, hb⟩) else or.inr hb, not_and_of_not_or_not⟩
@[simp] theorem not_and : ¬ (a ∧ b) ↔ (a → ¬ b) := and_imp
theorem not_and' : ¬ (a ∧ b) ↔ b → ¬a :=
not_and.trans imp_not_comm
theorem not_or_distrib : ¬ (a ∨ b) ↔ ¬ a ∧ ¬ b :=
⟨λ h, ⟨λ ha, h (or.inl ha), λ hb, h (or.inr hb)⟩,
λ ⟨h₁, h₂⟩ h, or.elim h h₁ h₂⟩
theorem or_iff_not_and_not [decidable a] [decidable b] : a ∨ b ↔ ¬ (¬a ∧ ¬b) :=
by rw [← not_or_distrib, not_not]
theorem and_iff_not_or_not [decidable a] [decidable b] : a ∧ b ↔ ¬ (¬ a ∨ ¬ b) :=
by rw [← not_and_distrib, not_not]
end propositional
/-! ### Declarations about equality -/
section equality
variables {α : Sort*} {a b : α}
@[simp] theorem heq_iff_eq : a == b ↔ a = b :=
⟨eq_of_heq, heq_of_eq⟩
theorem proof_irrel_heq {p q : Prop} (hp : p) (hq : q) : hp == hq :=
have p = q, from propext ⟨λ _, hq, λ _, hp⟩,
by subst q; refl
theorem ne_of_mem_of_not_mem {α β} [has_mem α β] {s : β} {a b : α}
(h : a ∈ s) : b ∉ s → a ≠ b :=
mt $ λ e, e ▸ h
theorem eq_equivalence : equivalence (@eq α) :=
⟨eq.refl, @eq.symm _, @eq.trans _⟩
lemma heq_of_eq_mp :
∀ {α β : Sort*} {a : α} {a' : β} (e : α = β) (h₂ : (eq.mp e a) = a'), a == a'
| α ._ a a' rfl h := eq.rec_on h (heq.refl _)
lemma rec_heq_of_heq {β} {C : α → Sort*} {x : C a} {y : β} (eq : a = b) (h : x == y) :
@eq.rec α a C x b eq == y :=
by subst eq; exact h
@[simp] lemma {u} eq_mpr_heq {α β : Sort u} (h : β = α) (x : α) : eq.mpr h x == x :=
by subst h; refl
protected lemma eq.congr {x₁ x₂ y₁ y₂ : α} (h₁ : x₁ = y₁) (h₂ : x₂ = y₂) :
(x₁ = x₂) ↔ (y₁ = y₂) :=
by { subst h₁, subst h₂ }
lemma eq.congr_left {x y z : α} (h : x = y) : x = z ↔ y = z := by rw [h]
lemma eq.congr_right {x y z : α} (h : x = y) : z = x ↔ z = y := by rw [h]
lemma congr_arg2 {α β γ : Type*} (f : α → β → γ) {x x' : α} {y y' : β}
(hx : x = x') (hy : y = y') : f x y = f x' y' :=
by { subst hx, subst hy }
end equality
/-! ### Declarations about quantifiers -/
section quantifiers
variables {α : Sort*} {β : Sort*} {p q : α → Prop} {b : Prop}
lemma Exists.imp (h : ∀ a, (p a → q a)) (p : ∃ a, p a) : ∃ a, q a := exists_imp_exists h p
lemma exists_imp_exists' {p : α → Prop} {q : β → Prop} (f : α → β) (hpq : ∀ a, p a → q (f a))
(hp : ∃ a, p a) : ∃ b, q b :=
exists.elim hp (λ a hp', ⟨_, hpq _ hp'⟩)
theorem forall_swap {p : α → β → Prop} : (∀ x y, p x y) ↔ ∀ y x, p x y :=
⟨function.swap, function.swap⟩
theorem exists_swap {p : α → β → Prop} : (∃ x y, p x y) ↔ ∃ y x, p x y :=
⟨λ ⟨x, y, h⟩, ⟨y, x, h⟩, λ ⟨y, x, h⟩, ⟨x, y, h⟩⟩
@[simp] theorem exists_imp_distrib : ((∃ x, p x) → b) ↔ ∀ x, p x → b :=
⟨λ h x hpx, h ⟨x, hpx⟩, λ h ⟨x, hpx⟩, h x hpx⟩
--theorem forall_not_of_not_exists (h : ¬ ∃ x, p x) : ∀ x, ¬ p x :=
--forall_imp_of_exists_imp h
theorem not_exists_of_forall_not (h : ∀ x, ¬ p x) : ¬ ∃ x, p x :=
exists_imp_distrib.2 h
@[simp] theorem not_exists : (¬ ∃ x, p x) ↔ ∀ x, ¬ p x :=
exists_imp_distrib
theorem not_forall_of_exists_not : (∃ x, ¬ p x) → ¬ ∀ x, p x
| ⟨x, hn⟩ h := hn (h x)
theorem not_forall {p : α → Prop}
[decidable (∃ x, ¬ p x)] [∀ x, decidable (p x)] :
(¬ ∀ x, p x) ↔ ∃ x, ¬ p x :=
⟨not.imp_symm $ λ nx x, nx.imp_symm $ λ h, ⟨x, h⟩,
not_forall_of_exists_not⟩
@[simp] theorem not_forall_not [decidable (∃ x, p x)] :
(¬ ∀ x, ¬ p x) ↔ ∃ x, p x :=
(@not_iff_comm _ _ _ (decidable_of_iff (¬ ∃ x, p x) not_exists)).1 not_exists
@[simp] theorem not_exists_not [∀ x, decidable (p x)] :
(¬ ∃ x, ¬ p x) ↔ ∀ x, p x :=
by simp
@[simp] theorem forall_true_iff : (α → true) ↔ true :=
iff_true_intro (λ _, trivial)
-- Unfortunately this causes simp to loop sometimes, so we
-- add the 2 and 3 cases as simp lemmas instead
theorem forall_true_iff' (h : ∀ a, p a ↔ true) : (∀ a, p a) ↔ true :=
iff_true_intro (λ _, of_iff_true (h _))
@[simp] theorem forall_2_true_iff {β : α → Sort*} : (∀ a, β a → true) ↔ true :=
forall_true_iff' $ λ _, forall_true_iff
@[simp] theorem forall_3_true_iff {β : α → Sort*} {γ : Π a, β a → Sort*} :
(∀ a (b : β a), γ a b → true) ↔ true :=
forall_true_iff' $ λ _, forall_2_true_iff
@[simp] theorem forall_const (α : Sort*) [i : nonempty α] : (α → b) ↔ b :=
⟨i.elim, λ hb x, hb⟩
@[simp] theorem exists_const (α : Sort*) [i : nonempty α] : (∃ x : α, b) ↔ b :=
⟨λ ⟨x, h⟩, h, i.elim exists.intro⟩
theorem forall_and_distrib : (∀ x, p x ∧ q x) ↔ (∀ x, p x) ∧ (∀ x, q x) :=
⟨λ h, ⟨λ x, (h x).left, λ x, (h x).right⟩, λ ⟨h₁, h₂⟩ x, ⟨h₁ x, h₂ x⟩⟩
theorem exists_or_distrib : (∃ x, p x ∨ q x) ↔ (∃ x, p x) ∨ (∃ x, q x) :=
⟨λ ⟨x, hpq⟩, hpq.elim (λ hpx, or.inl ⟨x, hpx⟩) (λ hqx, or.inr ⟨x, hqx⟩),
λ hepq, hepq.elim (λ ⟨x, hpx⟩, ⟨x, or.inl hpx⟩) (λ ⟨x, hqx⟩, ⟨x, or.inr hqx⟩)⟩
@[simp] theorem exists_and_distrib_left {q : Prop} {p : α → Prop} :
(∃x, q ∧ p x) ↔ q ∧ (∃x, p x) :=
⟨λ ⟨x, hq, hp⟩, ⟨hq, x, hp⟩, λ ⟨hq, x, hp⟩, ⟨x, hq, hp⟩⟩
@[simp] theorem exists_and_distrib_right {q : Prop} {p : α → Prop} :
(∃x, p x ∧ q) ↔ (∃x, p x) ∧ q :=
by simp [and_comm]
@[simp] theorem forall_eq {a' : α} : (∀a, a = a' → p a) ↔ p a' :=
⟨λ h, h a' rfl, λ h a e, e.symm ▸ h⟩
@[simp] theorem exists_eq {a' : α} : ∃ a, a = a' := ⟨_, rfl⟩
@[simp] theorem exists_eq' {a' : α} : Exists (eq a') := ⟨_, rfl⟩
@[simp] theorem exists_eq_left {a' : α} : (∃ a, a = a' ∧ p a) ↔ p a' :=
⟨λ ⟨a, e, h⟩, e ▸ h, λ h, ⟨_, rfl, h⟩⟩
@[simp] theorem exists_eq_right {a' : α} : (∃ a, p a ∧ a = a') ↔ p a' :=
(exists_congr $ by exact λ a, and.comm).trans exists_eq_left
@[simp] theorem forall_eq' {a' : α} : (∀a, a' = a → p a) ↔ p a' :=
by simp [@eq_comm _ a']
@[simp] theorem exists_eq_left' {a' : α} : (∃ a, a' = a ∧ p a) ↔ p a' :=
by simp [@eq_comm _ a']
@[simp] theorem exists_eq_right' {a' : α} : (∃ a, p a ∧ a' = a) ↔ p a' :=
by simp [@eq_comm _ a']
theorem forall_or_of_or_forall (h : b ∨ ∀x, p x) (x) : b ∨ p x :=
h.imp_right $ λ h₂, h₂ x
theorem forall_or_distrib_left {q : Prop} {p : α → Prop} [decidable q] :
(∀x, q ∨ p x) ↔ q ∨ (∀x, p x) :=
⟨λ h, if hq : q then or.inl hq else or.inr $ λ x, (h x).resolve_left hq,
forall_or_of_or_forall⟩
theorem forall_or_distrib_right {q : Prop} {p : α → Prop} [decidable q] :
(∀x, p x ∨ q) ↔ (∀x, p x) ∨ q :=
by simp [or_comm, forall_or_distrib_left]
/-- A predicate holds everywhere on the image of a surjective functions iff
it holds everywhere. -/
theorem forall_iff_forall_surj
{α β : Type*} {f : α → β} (h : function.surjective f) {P : β → Prop} :
(∀ a, P (f a)) ↔ ∀ b, P b :=
⟨λ ha b, by cases h b with a hab; rw ←hab; exact ha a, λ hb a, hb $ f a⟩
@[simp] theorem exists_prop {p q : Prop} : (∃ h : p, q) ↔ p ∧ q :=
⟨λ ⟨h₁, h₂⟩, ⟨h₁, h₂⟩, λ ⟨h₁, h₂⟩, ⟨h₁, h₂⟩⟩
@[simp] theorem exists_false : ¬ (∃a:α, false) := assume ⟨a, h⟩, h
theorem Exists.fst {p : b → Prop} : Exists p → b
| ⟨h, _⟩ := h
theorem Exists.snd {p : b → Prop} : ∀ h : Exists p, p h.fst
| ⟨_, h⟩ := h
@[simp] theorem forall_prop_of_true {p : Prop} {q : p → Prop} (h : p) : (∀ h' : p, q h') ↔ q h :=
@forall_const (q h) p ⟨h⟩
@[simp] theorem exists_prop_of_true {p : Prop} {q : p → Prop} (h : p) : (∃ h' : p, q h') ↔ q h :=
@exists_const (q h) p ⟨h⟩
@[simp] theorem forall_prop_of_false {p : Prop} {q : p → Prop} (hn : ¬ p) : (∀ h' : p, q h') ↔ true :=
iff_true_intro $ λ h, hn.elim h
@[simp] theorem exists_prop_of_false {p : Prop} {q : p → Prop} : ¬ p → ¬ (∃ h' : p, q h') :=
mt Exists.fst
end quantifiers
/-! ### Classical versions of earlier lemmas -/
namespace classical
variables {α : Sort*} {p : α → Prop}
local attribute [instance] prop_decidable
protected theorem not_forall : (¬ ∀ x, p x) ↔ (∃ x, ¬ p x) := not_forall
protected theorem not_exists_not : (¬ ∃ x, ¬ p x) ↔ ∀ x, p x := not_exists_not
protected theorem forall_or_distrib_left {q : Prop} {p : α → Prop} :
(∀x, q ∨ p x) ↔ q ∨ (∀x, p x) :=
forall_or_distrib_left
protected theorem forall_or_distrib_right {q : Prop} {p : α → Prop} :
(∀x, p x ∨ q) ↔ (∀x, p x) ∨ q :=
forall_or_distrib_right
protected theorem forall_or_distrib {β} {p : α → Prop} {q : β → Prop} :
(∀x y, p x ∨ q y) ↔ (∀ x, p x) ∨ (∀ y, q y) :=
by rw ← forall_or_distrib_right; simp [forall_or_distrib_left.symm]
theorem cases {p : Prop → Prop} (h1 : p true) (h2 : p false) : ∀a, p a :=
assume a, cases_on a h1 h2
theorem or_not {p : Prop} : p ∨ ¬ p :=
by_cases or.inl or.inr
protected theorem or_iff_not_imp_left {p q : Prop} : p ∨ q ↔ (¬ p → q) :=
or_iff_not_imp_left
protected theorem or_iff_not_imp_right {p q : Prop} : q ∨ p ↔ (¬ p → q) :=
or_iff_not_imp_right
protected lemma not_not {p : Prop} : ¬¬p ↔ p := not_not
protected theorem not_imp_not {p q : Prop} : (¬ p → ¬ q) ↔ (q → p) := not_imp_not
protected lemma not_and_distrib {p q : Prop}: ¬(p ∧ q) ↔ ¬p ∨ ¬q := not_and_distrib
protected lemma imp_iff_not_or {a b : Prop} : a → b ↔ ¬a ∨ b := imp_iff_not_or
lemma iff_iff_not_or_and_or_not {a b : Prop} : (a ↔ b) ↔ ((¬a ∨ b) ∧ (a ∨ ¬b)) :=
begin
rw [iff_iff_implies_and_implies a b],
simp only [imp_iff_not_or, or.comm]
end
/- use shortened names to avoid conflict when classical namespace is open. -/
noncomputable lemma dec (p : Prop) : decidable p := -- see Note [classical lemma]
by apply_instance
noncomputable lemma dec_pred (p : α → Prop) : decidable_pred p := -- see Note [classical lemma]
by apply_instance
noncomputable lemma dec_rel (p : α → α → Prop) : decidable_rel p := -- see Note [classical lemma]
by apply_instance
noncomputable lemma dec_eq (α : Sort*) : decidable_eq α := -- see Note [classical lemma]
by apply_instance
library_note "classical lemma"
"We make decidability results that depends on `classical.choice` noncomputable lemmas.
* We have to mark them as noncomputable, because otherwise Lean will try to generate bytecode
for them, and fail because it depends on `classical.choice`.
* We make them lemmas, and not definitions, because otherwise later definitions will raise
\"failed to generate bytecode\" errors when writing something like
`letI := classical.dec_eq _`.
Cf. <https://leanprover-community.github.io/archive/113488general/08268noncomputabletheorem.html>"
@[elab_as_eliminator]
noncomputable def {u} exists_cases {C : Sort u} (H0 : C) (H : ∀ a, p a → C) : C :=
if h : ∃ a, p a then H (classical.some h) (classical.some_spec h) else H0
lemma some_spec2 {α : Sort*} {p : α → Prop} {h : ∃a, p a}
(q : α → Prop) (hpq : ∀a, p a → q a) : q (some h) :=
hpq _ $ some_spec _
/-- A version of classical.indefinite_description which is definitionally equal to a pair -/
noncomputable def subtype_of_exists {α : Type*} {P : α → Prop} (h : ∃ x, P x) : {x // P x} :=
⟨classical.some h, classical.some_spec h⟩
end classical
@[elab_as_eliminator]
noncomputable def {u} exists.classical_rec_on
{α} {p : α → Prop} (h : ∃ a, p a) {C : Sort u} (H : ∀ a, p a → C) : C :=
H (classical.some h) (classical.some_spec h)
/-! ### Declarations about bounded quantifiers -/
section bounded_quantifiers
variables {α : Sort*} {r p q : α → Prop} {P Q : ∀ x, p x → Prop} {b : Prop}
theorem bex_def : (∃ x (h : p x), q x) ↔ ∃ x, p x ∧ q x :=
⟨λ ⟨x, px, qx⟩, ⟨x, px, qx⟩, λ ⟨x, px, qx⟩, ⟨x, px, qx⟩⟩
theorem bex.elim {b : Prop} : (∃ x h, P x h) → (∀ a h, P a h → b) → b
| ⟨a, h₁, h₂⟩ h' := h' a h₁ h₂
theorem bex.intro (a : α) (h₁ : p a) (h₂ : P a h₁) : ∃ x (h : p x), P x h :=
⟨a, h₁, h₂⟩
theorem ball_congr (H : ∀ x h, P x h ↔ Q x h) :
(∀ x h, P x h) ↔ (∀ x h, Q x h) :=
forall_congr $ λ x, forall_congr (H x)
theorem bex_congr (H : ∀ x h, P x h ↔ Q x h) :
(∃ x h, P x h) ↔ (∃ x h, Q x h) :=
exists_congr $ λ x, exists_congr (H x)
theorem ball.imp_right (H : ∀ x h, (P x h → Q x h))
(h₁ : ∀ x h, P x h) (x h) : Q x h :=
H _ _ $ h₁ _ _
theorem bex.imp_right (H : ∀ x h, (P x h → Q x h)) :
(∃ x h, P x h) → ∃ x h, Q x h
| ⟨x, h, h'⟩ := ⟨_, _, H _ _ h'⟩
theorem ball.imp_left (H : ∀ x, p x → q x)
(h₁ : ∀ x, q x → r x) (x) (h : p x) : r x :=
h₁ _ $ H _ h
theorem bex.imp_left (H : ∀ x, p x → q x) :
(∃ x (_ : p x), r x) → ∃ x (_ : q x), r x
| ⟨x, hp, hr⟩ := ⟨x, H _ hp, hr⟩
theorem ball_of_forall (h : ∀ x, p x) (x) : p x :=
h x
theorem forall_of_ball (H : ∀ x, p x) (h : ∀ x, p x → q x) (x) : q x :=
h x $ H x
theorem bex_of_exists (H : ∀ x, p x) : (∃ x, q x) → ∃ x (_ : p x), q x
| ⟨x, hq⟩ := ⟨x, H x, hq⟩
theorem exists_of_bex : (∃ x (_ : p x), q x) → ∃ x, q x
| ⟨x, _, hq⟩ := ⟨x, hq⟩
@[simp] theorem bex_imp_distrib : ((∃ x h, P x h) → b) ↔ (∀ x h, P x h → b) :=
by simp
theorem not_bex : (¬ ∃ x h, P x h) ↔ ∀ x h, ¬ P x h :=
bex_imp_distrib
theorem not_ball_of_bex_not : (∃ x h, ¬ P x h) → ¬ ∀ x h, P x h
| ⟨x, h, hp⟩ al := hp $ al x h
theorem not_ball [decidable (∃ x h, ¬ P x h)] [∀ x h, decidable (P x h)] :
(¬ ∀ x h, P x h) ↔ (∃ x h, ¬ P x h) :=
⟨not.imp_symm $ λ nx x h, nx.imp_symm $ λ h', ⟨x, h, h'⟩,
not_ball_of_bex_not⟩
theorem ball_true_iff (p : α → Prop) : (∀ x, p x → true) ↔ true :=
iff_true_intro (λ h hrx, trivial)
theorem ball_and_distrib : (∀ x h, P x h ∧ Q x h) ↔ (∀ x h, P x h) ∧ (∀ x h, Q x h) :=
iff.trans (forall_congr $ λ x, forall_and_distrib) forall_and_distrib
theorem bex_or_distrib : (∃ x h, P x h ∨ Q x h) ↔ (∃ x h, P x h) ∨ (∃ x h, Q x h) :=
iff.trans (exists_congr $ λ x, exists_or_distrib) exists_or_distrib
end bounded_quantifiers
namespace classical
local attribute [instance] prop_decidable
theorem not_ball {α : Sort*} {p : α → Prop} {P : Π (x : α), p x → Prop} :
(¬ ∀ x h, P x h) ↔ (∃ x h, ¬ P x h) := _root_.not_ball
end classical
/-! ### Declarations about `nonempty` -/
section nonempty
universe variables u v w
variables {α : Type u} {β : Type v} {γ : α → Type w}
attribute [simp] nonempty_of_inhabited
lemma exists_true_iff_nonempty {α : Sort*} : (∃a:α, true) ↔ nonempty α :=
iff.intro (λ⟨a, _⟩, ⟨a⟩) (λ⟨a⟩, ⟨a, trivial⟩)
@[simp] lemma nonempty_Prop {p : Prop} : nonempty p ↔ p :=
iff.intro (assume ⟨h⟩, h) (assume h, ⟨h⟩)
lemma not_nonempty_iff_imp_false : ¬ nonempty α ↔ α → false :=
⟨λ h a, h ⟨a⟩, λ h ⟨a⟩, h a⟩
@[simp] lemma nonempty_sigma : nonempty (Σa:α, γ a) ↔ (∃a:α, nonempty (γ a)) :=
iff.intro (assume ⟨⟨a, c⟩⟩, ⟨a, ⟨c⟩⟩) (assume ⟨a, ⟨c⟩⟩, ⟨⟨a, c⟩⟩)
@[simp] lemma nonempty_subtype {α : Sort u} {p : α → Prop} : nonempty (subtype p) ↔ (∃a:α, p a) :=
iff.intro (assume ⟨⟨a, h⟩⟩, ⟨a, h⟩) (assume ⟨a, h⟩, ⟨⟨a, h⟩⟩)
@[simp] lemma nonempty_prod : nonempty (α × β) ↔ (nonempty α ∧ nonempty β) :=
iff.intro (assume ⟨⟨a, b⟩⟩, ⟨⟨a⟩, ⟨b⟩⟩) (assume ⟨⟨a⟩, ⟨b⟩⟩, ⟨⟨a, b⟩⟩)
@[simp] lemma nonempty_pprod {α : Sort u} {β : Sort v} :
nonempty (pprod α β) ↔ (nonempty α ∧ nonempty β) :=
iff.intro (assume ⟨⟨a, b⟩⟩, ⟨⟨a⟩, ⟨b⟩⟩) (assume ⟨⟨a⟩, ⟨b⟩⟩, ⟨⟨a, b⟩⟩)
@[simp] lemma nonempty_sum : nonempty (α ⊕ β) ↔ (nonempty α ∨ nonempty β) :=
iff.intro
(assume ⟨h⟩, match h with sum.inl a := or.inl ⟨a⟩ | sum.inr b := or.inr ⟨b⟩ end)
(assume h, match h with or.inl ⟨a⟩ := ⟨sum.inl a⟩ | or.inr ⟨b⟩ := ⟨sum.inr b⟩ end)
@[simp] lemma nonempty_psum {α : Sort u} {β : Sort v} :
nonempty (psum α β) ↔ (nonempty α ∨ nonempty β) :=
iff.intro
(assume ⟨h⟩, match h with psum.inl a := or.inl ⟨a⟩ | psum.inr b := or.inr ⟨b⟩ end)
(assume h, match h with or.inl ⟨a⟩ := ⟨psum.inl a⟩ | or.inr ⟨b⟩ := ⟨psum.inr b⟩ end)
@[simp] lemma nonempty_psigma {α : Sort u} {β : α → Sort v} :
nonempty (psigma β) ↔ (∃a:α, nonempty (β a)) :=
iff.intro (assume ⟨⟨a, c⟩⟩, ⟨a, ⟨c⟩⟩) (assume ⟨a, ⟨c⟩⟩, ⟨⟨a, c⟩⟩)
@[simp] lemma nonempty_empty : ¬ nonempty empty :=
assume ⟨h⟩, h.elim
@[simp] lemma nonempty_ulift : nonempty (ulift α) ↔ nonempty α :=
iff.intro (assume ⟨⟨a⟩⟩, ⟨a⟩) (assume ⟨a⟩, ⟨⟨a⟩⟩)
@[simp] lemma nonempty_plift {α : Sort u} : nonempty (plift α) ↔ nonempty α :=
iff.intro (assume ⟨⟨a⟩⟩, ⟨a⟩) (assume ⟨a⟩, ⟨⟨a⟩⟩)
@[simp] lemma nonempty.forall {α : Sort u} {p : nonempty α → Prop} :
(∀h:nonempty α, p h) ↔ (∀a, p ⟨a⟩) :=
iff.intro (assume h a, h _) (assume h ⟨a⟩, h _)
@[simp] lemma nonempty.exists {α : Sort u} {p : nonempty α → Prop} :
(∃h:nonempty α, p h) ↔ (∃a, p ⟨a⟩) :=
iff.intro (assume ⟨⟨a⟩, h⟩, ⟨a, h⟩) (assume ⟨a, h⟩, ⟨⟨a⟩, h⟩)
lemma classical.nonempty_pi {α : Sort u} {β : α → Sort v} :
nonempty (Πa:α, β a) ↔ (∀a:α, nonempty (β a)) :=
iff.intro (assume ⟨f⟩ a, ⟨f a⟩) (assume f, ⟨assume a, classical.choice $ f a⟩)
/-- Using `classical.choice`, lifts a (`Prop`-valued) `nonempty` instance to a (`Type`-valued)
`inhabited` instance. `classical.inhabited_of_nonempty` already exists, in
`core/init/classical.lean`, but the assumption is not a type class argument,
which makes it unsuitable for some applications. -/
noncomputable def classical.inhabited_of_nonempty' {α : Sort u} [h : nonempty α] : inhabited α :=
⟨classical.choice h⟩
/-- Given `f : α → β`, if `α` is nonempty then `β` is also nonempty.
`nonempty` cannot be a `functor`, because `functor` is restricted to `Type`. -/
lemma nonempty.map {α : Sort u} {β : Sort v} (f : α → β) : nonempty α → nonempty β
| ⟨h⟩ := ⟨f h⟩
protected lemma nonempty.map2 {α β γ : Sort*} (f : α → β → γ) : nonempty α → nonempty β → nonempty γ
| ⟨x⟩ ⟨y⟩ := ⟨f x y⟩
protected lemma nonempty.congr {α : Sort u} {β : Sort v} (f : α → β) (g : β → α) :
nonempty α ↔ nonempty β :=
⟨nonempty.map f, nonempty.map g⟩
lemma nonempty.elim_to_inhabited {α : Sort*} [h : nonempty α] {p : Prop}
(f : inhabited α → p) : p :=
h.elim $ f ∘ inhabited.mk
instance {α β} [h : nonempty α] [h2 : nonempty β] : nonempty (α × β) :=
h.elim $ λ g, h2.elim $ λ g2, ⟨⟨g, g2⟩⟩
end nonempty
|
acbf6d6e8dbf51ee04fc5699399359f570420093 | a0e23cfdd129a671bf3154ee1a8a3a72bf4c7940 | /src/Lean/PrettyPrinter/Delaborator/Basic.lean | ab01388165e28cd8b15692ba34e1720f632a65f9 | [
"Apache-2.0"
] | permissive | WojciechKarpiel/lean4 | 7f89706b8e3c1f942b83a2c91a3a00b05da0e65b | f6e1314fa08293dea66a329e05b6c196a0189163 | refs/heads/master | 1,686,633,402,214 | 1,625,821,189,000 | 1,625,821,258,000 | 384,640,886 | 0 | 0 | Apache-2.0 | 1,625,903,617,000 | 1,625,903,026,000 | null | UTF-8 | Lean | false | false | 17,709 | lean | /-
Copyright (c) 2020 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sebastian Ullrich
-/
/-!
The delaborator is the first stage of the pretty printer, and the inverse of the
elaborator: it turns fully elaborated `Expr` core terms back into surface-level
`Syntax`, omitting some implicit information again and using higher-level syntax
abstractions like notations where possible. The exact behavior can be customized
using pretty printer options; activating `pp.all` should guarantee that the
delaborator is injective and that re-elaborating the resulting `Syntax`
round-trips.
Pretty printer options can be given not only for the whole term, but also
specific subterms. This is used both when automatically refining pp options
until round-trip and when interactively selecting pp options for a subterm (both
TBD). The association of options to subterms is done by assigning a unique,
synthetic Nat position to each subterm derived from its position in the full
term. This position is added to the corresponding Syntax object so that
elaboration errors and interactions with the pretty printer output can be traced
back to the subterm.
The delaborator is extensible via the `[delab]` attribute.
-/
import Lean.KeyedDeclsAttribute
import Lean.ProjFns
import Lean.Syntax
import Lean.Meta.Match
import Lean.Elab.Term
namespace Lean
register_builtin_option pp.all : Bool := {
defValue := false
group := "pp"
descr := "(pretty printer) display coercions, implicit parameters, proof terms, fully qualified names, universe, " ++
"and disable beta reduction and notations during pretty printing"
}
register_builtin_option pp.notation : Bool := {
defValue := true
group := "pp"
descr := "(pretty printer) disable/enable notation (infix, mixfix, postfix operators and unicode characters)"
}
register_builtin_option pp.coercions : Bool := {
defValue := true
group := "pp"
descr := "(pretty printer) hide coercion applications"
}
register_builtin_option pp.universes : Bool := {
defValue := false
group := "pp"
descr := "(pretty printer) display universe"
}
register_builtin_option pp.full_names : Bool := {
defValue := false
group := "pp"
descr := "(pretty printer) display fully qualified names"
}
register_builtin_option pp.private_names : Bool := {
defValue := false
group := "pp"
descr := "(pretty printer) display internal names assigned to private declarations"
}
register_builtin_option pp.binder_types : Bool := {
defValue := false
group := "pp"
descr := "(pretty printer) display types of lambda and Pi parameters"
}
register_builtin_option pp.structure_instances : Bool := {
defValue := true
group := "pp"
-- TODO: implement second part
descr := "(pretty printer) display structure instances using the '{ fieldName := fieldValue, ... }' notation " ++
"or '⟨fieldValue, ... ⟩' if structure is tagged with [pp_using_anonymous_constructor] attribute"
}
register_builtin_option pp.structure_projections : Bool := {
defValue := true
group := "pp"
descr := "(pretty printer) display structure projections using field notation"
}
register_builtin_option pp.explicit : Bool := {
defValue := false
group := "pp"
descr := "(pretty printer) display implicit arguments"
}
register_builtin_option pp.structure_instance_type : Bool := {
defValue := false
group := "pp"
descr := "(pretty printer) display type of structure instances"
}
register_builtin_option pp.safe_shadowing : Bool := {
defValue := true
group := "pp"
descr := "(pretty printer) allow variable shadowing if there is no collision"
}
register_builtin_option pp.proofs : Bool := {
defValue := false
group := "pp"
descr := "(pretty printer) if set to false, replace proofs appearing as an argument to a function with a placeholder"
}
register_builtin_option pp.proofs.withType : Bool := {
defValue := true
group := "pp"
descr := "(pretty printer) when eliding a proof (see `pp.proofs`), show its type instead"
}
register_builtin_option pp.motives.pi : Bool := {
defValue := true
group := "pp"
descr := "(pretty printer) print all motives that return pi types"
}
register_builtin_option pp.motives.nonConst : Bool := {
defValue := false
group := "pp"
descr := "(pretty printer) print all motives that are not constant functions"
}
register_builtin_option pp.motives.all : Bool := {
defValue := false
group := "pp"
descr := "(pretty printer) print all motives"
}
-- TODO:
/-
register_builtin_option g_pp_max_depth : Nat := {
defValue := false
group := "pp"
descr := "(pretty printer) maximum expression depth, after that it will use ellipsis"
}
register_builtin_option g_pp_max_steps : Nat := {
defValue := false
group := "pp"
descr := "(pretty printer) maximum number of visited expressions, after that it will use ellipsis"
}
register_builtin_option g_pp_locals_full_names : Bool := {
defValue := false
group := "pp"
descr := "(pretty printer) show full names of locals"
}
register_builtin_option g_pp_beta : Bool := {
defValue := false
group := "pp"
descr := "(pretty printer) apply beta-reduction when pretty printing"
}
register_builtin_option g_pp_goal_compact : Bool := {
defValue := false
group := "pp"
descr := "(pretty printer) try to display goal in a single line when possible"
}
register_builtin_option g_pp_goal_max_hyps : Nat := {
defValue := false
group := "pp"
descr := "(pretty printer) maximum number of hypotheses to be displayed"
}
register_builtin_option g_pp_instantiate_mvars : Bool := {
defValue := false
group := "pp"
descr := "(pretty printer) instantiate assigned metavariables before pretty printing terms and goals"
}
register_builtin_option g_pp_annotations : Bool := {
defValue := false
group := "pp"
descr := "(pretty printer) display internal annotations (for debugging purposes only)"
}
register_builtin_option g_pp_compact_let : Bool := {
defValue := false
group := "pp"
descr := "(pretty printer) minimal indentation at `let`-declarations"
}
-/
def getPPAll (o : Options) : Bool := o.get `pp.all false
def getPPBinderTypes (o : Options) : Bool := o.get `pp.binder_types true
def getPPCoercions (o : Options) : Bool := o.get `pp.coercions (!getPPAll o)
def getPPExplicit (o : Options) : Bool := o.get `pp.explicit (getPPAll o)
def getPPNotation (o : Options) : Bool := o.get `pp.notation (!getPPAll o)
def getPPStructureProjections (o : Options) : Bool := o.get `pp.structure_projections (!getPPAll o)
def getPPStructureInstances (o : Options) : Bool := o.get `pp.structure_instances (!getPPAll o)
def getPPStructureInstanceType (o : Options) : Bool := o.get `pp.structure_instance_type (getPPAll o)
def getPPUniverses (o : Options) : Bool := o.get `pp.universes (getPPAll o)
def getPPFullNames (o : Options) : Bool := o.get `pp.full_names (getPPAll o)
def getPPPrivateNames (o : Options) : Bool := o.get `pp.private_names (getPPAll o)
def getPPUnicode (o : Options) : Bool := o.get `pp.unicode true
def getPPSafeShadowing (o : Options) : Bool := o.get `pp.safe_shadowing true
def getPPProofs (o : Options) : Bool := o.get pp.proofs.name (getPPAll o)
def getPPProofsWithType (o : Options) : Bool := o.get pp.proofs.withType.name true
def getPPMotivesPi (o : Options) : Bool := o.get pp.motives.pi.name pp.motives.pi.defValue
def getPPMotivesNonConst (o : Options) : Bool := o.get pp.motives.nonConst.name pp.motives.nonConst.defValue
def getPPMotivesAll (o : Options) : Bool := o.get pp.motives.all.name pp.motives.all.defValue
/-- Associate pretty printer options to a specific subterm using a synthetic position. -/
abbrev OptionsPerPos := Std.RBMap Nat Options compare
namespace PrettyPrinter
namespace Delaborator
open Lean.Meta
structure Context where
-- In contrast to other systems like the elaborator, we do not pass the current term explicitly as a
-- parameter, but store it in the monad so that we can keep it in sync with `pos`.
expr : Expr
pos : Nat := 1
defaultOptions : Options
optionsPerPos : OptionsPerPos
currNamespace : Name
openDecls : List OpenDecl
inPattern : Bool := false -- true whe delaborating `match` patterns
-- Exceptions from delaborators are not expected. We use an internal exception to signal whether
-- the delaborator was able to produce a Syntax object.
builtin_initialize delabFailureId : InternalExceptionId ← registerInternalExceptionId `delabFailure
abbrev DelabM := ReaderT Context MetaM
abbrev Delab := DelabM Syntax
instance {α} : Inhabited (DelabM α) where
default := throw arbitrary
@[inline] protected def orElse {α} (d₁ d₂ : DelabM α) : DelabM α := do
catchInternalId delabFailureId d₁ (fun _ => d₂)
protected def failure {α} : DelabM α := throw $ Exception.internal delabFailureId
instance : Alternative DelabM := {
orElse := Delaborator.orElse,
failure := Delaborator.failure
}
-- HACK: necessary since it would otherwise prefer the instance from MonadExcept
instance {α} : OrElse (DelabM α) := ⟨Delaborator.orElse⟩
-- Macro scopes in the delaborator output are ultimately ignored by the pretty printer,
-- so give a trivial implementation.
instance : MonadQuotation DelabM := {
getCurrMacroScope := pure arbitrary,
getMainModule := pure arbitrary,
withFreshMacroScope := fun x => x
}
unsafe def mkDelabAttribute : IO (KeyedDeclsAttribute Delab) :=
KeyedDeclsAttribute.init {
builtinName := `builtinDelab,
name := `delab,
descr := "Register a delaborator.
[delab k] registers a declaration of type `Lean.PrettyPrinter.Delaborator.Delab` for the `Lean.Expr`
constructor `k`. Multiple delaborators for a single constructor are tried in turn until
the first success. If the term to be delaborated is an application of a constant `c`,
elaborators for `app.c` are tried first; this is also done for `Expr.const`s (\"nullary applications\")
to reduce special casing. If the term is an `Expr.mdata` with a single key `k`, `mdata.k`
is tried first.",
valueTypeName := `Lean.PrettyPrinter.Delaborator.Delab
} `Lean.PrettyPrinter.Delaborator.delabAttribute
@[builtinInit mkDelabAttribute] constant delabAttribute : KeyedDeclsAttribute Delab
def getExpr : DelabM Expr := do
let ctx ← read
pure ctx.expr
def getExprKind : DelabM Name := do
let e ← getExpr
pure $ match e with
| Expr.bvar _ _ => `bvar
| Expr.fvar _ _ => `fvar
| Expr.mvar _ _ => `mvar
| Expr.sort _ _ => `sort
| Expr.const c _ _ =>
-- we identify constants as "nullary applications" to reduce special casing
`app ++ c
| Expr.app fn _ _ => match fn.getAppFn with
| Expr.const c _ _ => `app ++ c
| _ => `app
| Expr.lam _ _ _ _ => `lam
| Expr.forallE _ _ _ _ => `forallE
| Expr.letE _ _ _ _ _ => `letE
| Expr.lit _ _ => `lit
| Expr.mdata m _ _ => match m.entries with
| [(key, _)] => `mdata ++ key
| _ => `mdata
| Expr.proj _ _ _ _ => `proj
/-- Evaluate option accessor, using subterm-specific options if set. -/
def getPPOption (opt : Options → Bool) : DelabM Bool := do
let ctx ← read
let mut opts := ctx.defaultOptions
if let some opts' ← ctx.optionsPerPos.find? ctx.pos then
for (k, v) in opts' do
opts := opts.insert k v
return opt opts
def whenPPOption (opt : Options → Bool) (d : Delab) : Delab := do
let b ← getPPOption opt
if b then d else failure
def whenNotPPOption (opt : Options → Bool) (d : Delab) : Delab := do
let b ← getPPOption opt
if b then failure else d
/--
Descend into `child`, the `childIdx`-th subterm of the current term, and update position.
Because `childIdx < 3` in the case of `Expr`, we can injectively map a path
`childIdxs` to a natural number by computing the value of the 3-ary representation
`1 :: childIdxs`, since n-ary representations without leading zeros are unique.
Note that `pos` is initialized to `1` (case `childIdxs == []`).
-/
def descend {α} (child : Expr) (childIdx : Nat) (d : DelabM α) : DelabM α :=
withReader (fun cfg => { cfg with expr := child, pos := cfg.pos * 3 + childIdx }) d
def withAppFn {α} (d : DelabM α) : DelabM α := do
let Expr.app fn _ _ ← getExpr | unreachable!
descend fn 0 d
def withAppArg {α} (d : DelabM α) : DelabM α := do
let Expr.app _ arg _ ← getExpr | unreachable!
descend arg 1 d
partial def withAppFnArgs {α} : DelabM α → (α → DelabM α) → DelabM α
| fnD, argD => do
let Expr.app fn arg _ ← getExpr | fnD
let a ← withAppFn (withAppFnArgs fnD argD)
withAppArg (argD a)
def withBindingDomain {α} (d : DelabM α) : DelabM α := do
let e ← getExpr
descend e.bindingDomain! 0 d
def withBindingBody {α} (n : Name) (d : DelabM α) : DelabM α := do
let e ← getExpr
withLocalDecl n e.binderInfo e.bindingDomain! fun fvar =>
let b := e.bindingBody!.instantiate1 fvar
descend b 1 d
def withProj {α} (d : DelabM α) : DelabM α := do
let Expr.proj _ _ e _ ← getExpr | unreachable!
descend e 0 d
def withMDataExpr {α} (d : DelabM α) : DelabM α := do
let Expr.mdata _ e _ ← getExpr | unreachable!
-- do not change position so that options on an mdata are automatically forwarded to the child
withReader ({ · with expr := e }) d
partial def annotatePos (pos : Nat) : Syntax → Syntax
| stx@(Syntax.ident _ _ _ _) => stx.setInfo (SourceInfo.synthetic pos pos)
-- app => annotate function
| stx@(Syntax.node `Lean.Parser.Term.app args) => stx.modifyArg 0 (annotatePos pos)
-- otherwise, annotate first direct child token if any
| stx => match stx.getArgs.findIdx? Syntax.isAtom with
| some idx => stx.modifyArg idx (Syntax.setInfo (SourceInfo.synthetic pos pos))
| none => stx
def annotateCurPos (stx : Syntax) : Delab := do
let ctx ← read
pure $ annotatePos ctx.pos stx
def getUnusedName (suggestion : Name) (body : Expr) : DelabM Name := do
-- Use a nicer binder name than `[anonymous]`. We probably shouldn't do this in all LocalContext use cases, so do it here.
let suggestion := if suggestion.isAnonymous then `a else suggestion;
let suggestion := suggestion.eraseMacroScopes
let lctx ← getLCtx
if !lctx.usesUserName suggestion then
return suggestion
else if (← getPPOption getPPSafeShadowing) && !bodyUsesSuggestion lctx suggestion then
return suggestion
else
return lctx.getUnusedName suggestion
where
bodyUsesSuggestion (lctx : LocalContext) (suggestion' : Name) : Bool :=
Option.isSome <| body.find? fun
| Expr.fvar fvarId _ =>
match lctx.find? fvarId with
| none => false
| some decl => decl.userName == suggestion'
| _ => false
def withBindingBodyUnusedName {α} (d : Syntax → DelabM α) : DelabM α := do
let n ← getUnusedName (← getExpr).bindingName! (← getExpr).bindingBody!
let stxN ← annotateCurPos (mkIdent n)
withBindingBody n $ d stxN
@[inline] def liftMetaM {α} (x : MetaM α) : DelabM α :=
liftM x
partial def delabFor : Name → Delab
| Name.anonymous => failure
| k => do
(delabAttribute.getValues (← getEnv) k).firstM id >>= annotateCurPos <|>
-- have `app.Option.some` fall back to `app` etc.
delabFor k.getRoot
partial def delab : Delab := do
unless (← getPPOption getPPProofs) do
let e ← getExpr
-- no need to hide atomic proofs
unless e.isAtomic do
try
let ty ← Meta.inferType (← getExpr)
if ← Meta.isProp ty then
if ← getPPOption getPPProofsWithType then
return ← ``((_ : $(← descend ty 0 delab)))
else
return ← ``(_)
catch _ => pure ()
let k ← getExprKind
delabFor k <|> (liftM $ show MetaM Syntax from throwError "don't know how to delaborate '{k}'")
unsafe def mkAppUnexpanderAttribute : IO (KeyedDeclsAttribute Unexpander) :=
KeyedDeclsAttribute.init {
name := `appUnexpander,
descr := "Register an unexpander for applications of a given constant.
[appUnexpander c] registers a `Lean.PrettyPrinter.Unexpander` for applications of the constant `c`. The unexpander is
passed the result of pre-pretty printing the application *without* implicitly passed arguments. If `pp.explicit` is set
to true or `pp.notation` is set to false, it will not be called at all.",
valueTypeName := `Lean.PrettyPrinter.Unexpander
} `Lean.PrettyPrinter.Delaborator.appUnexpanderAttribute
@[builtinInit mkAppUnexpanderAttribute] constant appUnexpanderAttribute : KeyedDeclsAttribute Unexpander
end Delaborator
/-- "Delaborate" the given term into surface-level syntax using the default and given subterm-specific options. -/
def delab (currNamespace : Name) (openDecls : List OpenDecl) (e : Expr) (optionsPerPos : OptionsPerPos := {}) : MetaM Syntax := do
trace[PrettyPrinter.delab.input] "{fmt e}"
let mut opts ← MonadOptions.getOptions
-- default `pp.proofs` to `true` if `e` is a proof
if pp.proofs.get? opts == none then
try
let ty ← Meta.inferType e
if ← Meta.isProp ty then
opts := pp.proofs.set opts true
catch _ => pure ()
catchInternalId Delaborator.delabFailureId
(Delaborator.delab.run { expr := e, defaultOptions := opts, optionsPerPos := optionsPerPos, currNamespace := currNamespace, openDecls := openDecls })
(fun _ => unreachable!)
builtin_initialize registerTraceClass `PrettyPrinter.delab
end PrettyPrinter
end Lean
|
affb270bc781f0433cdbfa89b62c9c1721d8b87d | 957a80ea22c5abb4f4670b250d55534d9db99108 | /library/init/classical.lean | 2b7a8c50c56bd2cc6d81038f3e5cf349c751684b | [
"Apache-2.0"
] | permissive | GaloisInc/lean | aa1e64d604051e602fcf4610061314b9a37ab8cd | f1ec117a24459b59c6ff9e56a1d09d9e9e60a6c0 | refs/heads/master | 1,592,202,909,807 | 1,504,624,387,000 | 1,504,624,387,000 | 75,319,626 | 2 | 1 | Apache-2.0 | 1,539,290,164,000 | 1,480,616,104,000 | C++ | UTF-8 | Lean | false | false | 5,721 | 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, Mario Carneiro
-/
prelude
import init.data.subtype.basic init.funext
namespace classical
universes u v
/- the axiom -/
axiom choice {α : Sort u} : nonempty α → α
noncomputable theorem indefinite_description {α : Sort u} (p : α → Prop)
(h : ∃ x, p x) : {x // p x} :=
choice $ let ⟨x, px⟩ := h in ⟨⟨x, px⟩⟩
noncomputable def some {α : Sort u} {p : α → Prop} (h : ∃ x, p x) : α :=
(indefinite_description p h).val
theorem some_spec {α : Sort u} {p : α → Prop} (h : ∃ x, p x) : p (some h) :=
(indefinite_description p h).property
/- Diaconescu's theorem: using function extensionality and propositional extensionality,
we can get excluded middle from this. -/
section diaconescu
parameter p : Prop
private def U (x : Prop) : Prop := x = true ∨ p
private def V (x : Prop) : Prop := x = false ∨ p
private lemma exU : ∃ x, U x := ⟨true, or.inl rfl⟩
private lemma exV : ∃ x, V x := ⟨false, or.inl rfl⟩
/- TODO(Leo): check why the code generator is not ignoring (some exU)
when we mark u as def. -/
private lemma u : Prop := some exU
private lemma v : Prop := some exV
set_option type_context.unfold_lemmas true
private lemma u_def : U u := some_spec exU
private lemma v_def : V v := some_spec exV
private lemma not_uv_or_p : u ≠ v ∨ p :=
or.elim u_def
(assume hut : u = true,
or.elim v_def
(assume hvf : v = false,
have hne : u ≠ v, from hvf.symm ▸ hut.symm ▸ true_ne_false,
or.inl hne)
or.inr)
or.inr
private lemma p_implies_uv (hp : p) : u = v :=
have hpred : U = V, from
funext (assume x : Prop,
have hl : (x = true ∨ p) → (x = false ∨ p), from
assume a, or.inr hp,
have hr : (x = false ∨ p) → (x = true ∨ p), from
assume a, or.inr hp,
show (x = true ∨ p) = (x = false ∨ p), from
propext (iff.intro hl hr)),
have h₀ : ∀ exU exV,
@some _ U exU = @some _ V exV,
from hpred ▸ λ exU exV, rfl,
show u = v, from h₀ _ _
theorem em : p ∨ ¬p :=
or.elim not_uv_or_p
(assume hne : u ≠ v, or.inr (mt p_implies_uv hne))
or.inl
end diaconescu
theorem exists_true_of_nonempty {α : Sort u} : nonempty α → ∃ x : α, true
| ⟨x⟩ := ⟨x, trivial⟩
noncomputable def inhabited_of_nonempty {α : Sort u} (h : nonempty α) : inhabited α :=
⟨choice h⟩
noncomputable def inhabited_of_exists {α : Sort u} {p : α → Prop} (h : ∃ x, p x) :
inhabited α :=
inhabited_of_nonempty (exists.elim h (λ w hw, ⟨w⟩))
/- all propositions are decidable -/
noncomputable def prop_decidable (a : Prop) : decidable a :=
choice $ or.elim (em a)
(assume ha, ⟨is_true ha⟩)
(assume hna, ⟨is_false hna⟩)
local attribute [instance] prop_decidable
noncomputable def decidable_inhabited (a : Prop) : inhabited (decidable a) :=
⟨prop_decidable a⟩
local attribute [instance] decidable_inhabited
noncomputable def type_decidable_eq (α : Sort u) : decidable_eq α :=
λ x y, prop_decidable (x = y)
noncomputable def type_decidable (α : Sort u) : psum α (α → false) :=
match (prop_decidable (nonempty α)) with
| (is_true hp) := psum.inl (@inhabited.default _ (inhabited_of_nonempty hp))
| (is_false hn) := psum.inr (λ a, absurd (nonempty.intro a) hn)
end
noncomputable theorem strong_indefinite_description {α : Sort u} (p : α → Prop)
(h : nonempty α) : {x : α // (∃ y : α, p y) → p x} :=
if hp : ∃ x : α, p x then
let xp := indefinite_description _ hp in
⟨xp.val, λ h', xp.property⟩
else ⟨choice h, λ h, absurd h hp⟩
/- the Hilbert epsilon function -/
noncomputable def epsilon {α : Sort u} [h : nonempty α] (p : α → Prop) : α :=
(strong_indefinite_description p h).val
theorem epsilon_spec_aux {α : Sort u} (h : nonempty α) (p : α → Prop)
: (∃ y, p y) → p (@epsilon α h p) :=
(strong_indefinite_description p h).property
theorem epsilon_spec {α : Sort u} {p : α → Prop} (hex : ∃ y, p y) :
p (@epsilon α (nonempty_of_exists hex) p) :=
epsilon_spec_aux (nonempty_of_exists hex) p hex
theorem epsilon_singleton {α : Sort u} (x : α) : @epsilon α ⟨x⟩ (λ y, y = x) = x :=
@epsilon_spec α (λ y, y = x) ⟨x, rfl⟩
/- the axiom of choice -/
theorem axiom_of_choice {α : Sort u} {β : α → Sort v} {r : Π x, β x → Prop} (h : ∀ x, ∃ y, r x y) :
∃ (f : Π x, β x), ∀ x, r x (f x) :=
⟨_, λ x, some_spec (h x)⟩
theorem skolem {α : Sort u} {b : α → Sort v} {p : Π x, b x → Prop} :
(∀ x, ∃ y, p x y) ↔ ∃ (f : Π x, b x), ∀ x, p x (f x) :=
⟨axiom_of_choice, λ ⟨f, hw⟩ x, ⟨f x, hw x⟩⟩
theorem prop_complete (a : Prop) : a = true ∨ a = false :=
or.elim (em a)
(λ t, or.inl (eq_true_intro t))
(λ f, or.inr (eq_false_intro f))
def eq_true_or_eq_false := prop_complete
section aux
attribute [elab_as_eliminator]
theorem cases_true_false (p : Prop → Prop) (h1 : p true) (h2 : p false) (a : Prop) : p a :=
or.elim (prop_complete a)
(assume ht : a = true, ht.symm ▸ h1)
(assume hf : a = false, hf.symm ▸ h2)
theorem cases_on (a : Prop) {p : Prop → Prop} (h1 : p true) (h2 : p false) : p a :=
cases_true_false p h1 h2 a
-- this supercedes by_cases in decidable
def by_cases {p q : Prop} (hpq : p → q) (hnpq : ¬p → q) : q :=
decidable.by_cases hpq hnpq
-- this supercedes by_contradiction in decidable
theorem by_contradiction {p : Prop} (h : ¬p → false) : p :=
decidable.by_contradiction h
theorem eq_false_or_eq_true (a : Prop) : a = false ∨ a = true :=
(prop_complete a).symm
end aux
end classical
|
e4f6dbc20b7e8fd831b6411c2bfb740fef46c05b | 618003631150032a5676f229d13a079ac875ff77 | /src/topology/instances/complex.lean | 8507e4cc71f8451870d490e407834019d7c4f6cf | [
"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 | 6,098 | lean | /-
Copyright (c) 2018 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Author: Mario Carneiro
Topology of the complex numbers.
-/
import data.complex.basic
import topology.instances.real
noncomputable theory
open filter metric
open_locale topological_space
namespace complex
-- TODO(Mario): these proofs are all copied from analysis/real. Generalize
-- to normed fields
instance : metric_space ℂ :=
{ dist := λx y, (x - y).abs,
dist_self := by simp [abs_zero],
eq_of_dist_eq_zero := by simp [sub_eq_zero],
dist_comm := assume x y, complex.abs_sub _ _,
dist_triangle := assume x y z, complex.abs_sub_le _ _ _ }
theorem dist_eq (x y : ℂ) : dist x y = (x - y).abs := rfl
theorem uniform_continuous_add : uniform_continuous (λp : ℂ × ℂ, p.1 + p.2) :=
metric.uniform_continuous_iff.2 $ λ ε ε0,
let ⟨δ, δ0, Hδ⟩ := rat_add_continuous_lemma abs ε0 in
⟨δ, δ0, λ a b h, let ⟨h₁, h₂⟩ := max_lt_iff.1 h in Hδ h₁ h₂⟩
theorem uniform_continuous_neg : uniform_continuous (@has_neg.neg ℂ _) :=
metric.uniform_continuous_iff.2 $ λ ε ε0, ⟨_, ε0, λ a b h,
by rw dist_comm at h; simpa [dist_eq] using h⟩
instance : uniform_add_group ℂ :=
uniform_add_group.mk' uniform_continuous_add uniform_continuous_neg
instance : topological_add_group ℂ := by apply_instance -- short-circuit type class inference
lemma uniform_continuous_inv (s : set ℂ) {r : ℝ} (r0 : 0 < r) (H : ∀ x ∈ s, r ≤ abs x) :
uniform_continuous (λp:s, p.1⁻¹) :=
metric.uniform_continuous_iff.2 $ λ ε ε0,
let ⟨δ, δ0, Hδ⟩ := rat_inv_continuous_lemma abs ε0 r0 in
⟨δ, δ0, λ a b h, Hδ (H _ a.2) (H _ b.2) h⟩
lemma uniform_continuous_abs : uniform_continuous (abs : ℂ → ℝ) :=
metric.uniform_continuous_iff.2 $ λ ε ε0,
⟨ε, ε0, λ a b, lt_of_le_of_lt (abs_abs_sub_le_abs_sub _ _)⟩
lemma continuous_abs : continuous (abs : ℂ → ℝ) :=
uniform_continuous_abs.continuous
lemma tendsto_inv {r : ℂ} (r0 : r ≠ 0) : tendsto (λq, q⁻¹) (𝓝 r) (𝓝 r⁻¹) :=
by rw ← abs_pos at r0; exact
tendsto_of_uniform_continuous_subtype
(uniform_continuous_inv {x | abs r / 2 < abs x} (half_pos r0) (λ x h, le_of_lt h))
(mem_nhds_sets (continuous_abs _ $ is_open_lt' (abs r / 2)) (half_lt_self r0))
lemma continuous_inv : continuous (λa:{r:ℂ // r ≠ 0}, a.val⁻¹) :=
continuous_iff_continuous_at.mpr $ assume ⟨r, hr⟩,
tendsto.comp (tendsto_inv hr) (continuous_iff_continuous_at.mp continuous_subtype_val _)
lemma continuous.inv {α} [topological_space α] {f : α → ℂ} (h : ∀a, f a ≠ 0) (hf : continuous f) :
continuous (λa, (f a)⁻¹) :=
show continuous ((has_inv.inv ∘ @subtype.val ℂ (λr, r ≠ 0)) ∘ λa, ⟨f a, h a⟩),
from continuous_inv.comp (continuous_subtype_mk _ hf)
lemma uniform_continuous_mul_const {x : ℂ} : uniform_continuous ((*) x) :=
metric.uniform_continuous_iff.2 $ λ ε ε0, begin
cases no_top (abs x) with y xy,
have y0 := lt_of_le_of_lt (abs_nonneg _) xy,
refine ⟨_, div_pos ε0 y0, λ a b h, _⟩,
rw [dist_eq, ← mul_sub, abs_mul, ← mul_div_cancel' ε (ne_of_gt y0)],
exact mul_lt_mul' (le_of_lt xy) h (abs_nonneg _) y0
end
lemma uniform_continuous_mul (s : set (ℂ × ℂ))
{r₁ r₂ : ℝ} (H : ∀ x ∈ s, abs (x : ℂ × ℂ).1 < r₁ ∧ abs x.2 < r₂) :
uniform_continuous (λp:s, p.1.1 * p.1.2) :=
metric.uniform_continuous_iff.2 $ λ ε ε0,
let ⟨δ, δ0, Hδ⟩ := rat_mul_continuous_lemma abs ε0 in
⟨δ, δ0, λ a b h,
let ⟨h₁, h₂⟩ := max_lt_iff.1 h in Hδ (H _ a.2).1 (H _ b.2).2 h₁ h₂⟩
protected lemma continuous_mul : continuous (λp : ℂ × ℂ, p.1 * p.2) :=
continuous_iff_continuous_at.2 $ λ ⟨a₁, a₂⟩,
tendsto_of_uniform_continuous_subtype
(uniform_continuous_mul
({x | abs x < abs a₁ + 1}.prod {x | abs x < abs a₂ + 1})
(λ x, id))
(mem_nhds_sets
(is_open_prod
(continuous_abs _ $ is_open_gt' (abs a₁ + 1))
(continuous_abs _ $ is_open_gt' (abs a₂ + 1)))
⟨lt_add_one (abs a₁), lt_add_one (abs a₂)⟩)
local attribute [semireducible] real.le
lemma uniform_continuous_re : uniform_continuous re :=
metric.uniform_continuous_iff.2 (λ ε ε0, ⟨ε, ε0, λ _ _, lt_of_le_of_lt (abs_re_le_abs _)⟩)
lemma continuous_re : continuous re := uniform_continuous_re.continuous
lemma uniform_continuous_im : uniform_continuous im :=
metric.uniform_continuous_iff.2 (λ ε ε0, ⟨ε, ε0, λ _ _, lt_of_le_of_lt (abs_im_le_abs _)⟩)
lemma continuous_im : continuous im := uniform_continuous_im.continuous
lemma uniform_continuous_of_real : uniform_continuous of_real :=
metric.uniform_continuous_iff.2 (λ ε ε0, ⟨ε, ε0, λ _ _,
by rw [real.dist_eq, complex.dist_eq, of_real_eq_coe, of_real_eq_coe, ← of_real_sub, abs_of_real];
exact id⟩)
lemma continuous_of_real : continuous of_real := uniform_continuous_of_real.continuous
instance : topological_ring ℂ :=
{ continuous_mul := complex.continuous_mul, ..complex.topological_add_group }
instance : topological_semiring ℂ := by apply_instance -- short-circuit type class inference
/-- `ℂ` is homeomorphic to the real plane with `max` norm. -/
def real_prod_homeo : ℂ ≃ₜ (ℝ × ℝ) :=
{ to_equiv := real_prod_equiv,
continuous_to_fun := continuous_re.prod_mk continuous_im,
continuous_inv_fun := show continuous (λ p : ℝ × ℝ, complex.mk p.1 p.2),
by simp only [mk_eq_add_mul_I]; exact
(continuous_of_real.comp continuous_fst).add
((continuous_of_real.comp continuous_snd).mul continuous_const) }
instance : proper_space ℂ :=
⟨λx r, begin
refine real_prod_homeo.symm.compact_preimage.1
(compact_of_is_closed_subset
((proper_space.compact_ball x.re r).prod (proper_space.compact_ball x.im r))
(continuous_iff_is_closed.1 real_prod_homeo.symm.continuous _ is_closed_ball) _),
exact λ p h, ⟨
le_trans (abs_re_le_abs (⟨p.1, p.2⟩ - x)) h,
le_trans (abs_im_le_abs (⟨p.1, p.2⟩ - x)) h⟩
end⟩
end complex
|
03cb39ca3bd6e494b808d696aa90b6600874e506 | 432d948a4d3d242fdfb44b81c9e1b1baacd58617 | /src/tactic/aesop/tree.lean | 87312d29f3145bcef3b8764019bc7061169a05fa | [
"Apache-2.0"
] | permissive | JLimperg/aesop3 | 306cc6570c556568897ed2e508c8869667252e8a | a4a116f650cc7403428e72bd2e2c4cda300fe03f | refs/heads/master | 1,682,884,916,368 | 1,620,320,033,000 | 1,620,320,033,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 12,718 | lean | /-
Copyright (c) 2021 Jannis Limperg. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jannis Limperg
-/
import tactic.aesop.priority_queue
import tactic.aesop.rule
import tactic.aesop.util
namespace tactic
namespace aesop
open native
/-! ## Node IDs -/
@[derive decidable_eq]
meta structure node_id :=
(to_nat : ℕ)
namespace node_id
protected meta def zero : node_id :=
⟨0⟩
protected meta def succ : node_id → node_id
| ⟨n⟩ := ⟨n + 1⟩
protected meta def one : node_id :=
⟨1⟩
protected meta def lt (n m : node_id) : Prop :=
n.to_nat < m.to_nat
meta instance : has_lt node_id :=
⟨node_id.lt⟩
-- Surely there's a less annoying way to write this.
meta instance : decidable_rel ((<) : node_id → node_id → Prop) :=
λ n m, (infer_instance : decidable (n.to_nat < m.to_nat))
protected meta def to_fmt (id : node_id) : format :=
_root_.to_fmt id.to_nat
meta instance : has_to_format node_id :=
⟨node_id.to_fmt⟩
end node_id
/-! ## Rule Application IDs -/
@[derive decidable_eq]
meta structure rapp_id :=
(to_nat : ℕ)
namespace rapp_id
protected meta def zero : rapp_id :=
⟨0⟩
protected meta def succ : rapp_id → rapp_id
| ⟨n⟩ := ⟨n + 1⟩
protected meta def one : rapp_id :=
⟨1⟩
protected meta def lt (n m : rapp_id) : Prop :=
n.to_nat < m.to_nat
meta instance : has_lt rapp_id :=
⟨rapp_id.lt⟩
-- Surely there's a less annoying way to write this.
meta instance : decidable_rel ((<) : rapp_id → rapp_id → Prop) :=
λ n m, (infer_instance : decidable (n.to_nat < m.to_nat))
protected meta def to_fmt (id : rapp_id) : format :=
_root_.to_fmt id.to_nat
meta instance : has_to_format rapp_id :=
⟨rapp_id.to_fmt⟩
end rapp_id
/-! ## Nodes -/
meta structure node :=
(parent : option rapp_id)
(goal : expr)
(cumulative_success_probability : percent)
(rapps : list rapp_id)
(failed_rapps : list regular_rule)
(unsafe_queue : option (list unsafe_rule))
(is_normal : bool)
(is_proven : bool)
(is_unprovable : bool)
(is_irrelevant : bool)
namespace node
protected meta def to_tactic_format (n : node) : tactic format := do
goal ← format.of_goal n.goal,
unsafe_queue ←
match n.unsafe_queue with
| some q := format.unlines <$> q.mmap pp
| none := pure "<rules not yet selected>"
end,
pure $ format.join
[ format! "parent: {n.parent}\n",
"goal:",
format.nested 2 goal,
format.line,
format! "cumulative success probability: {n.cumulative_success_probability}\n",
format! "is normal: {n.is_normal}\n",
format! "is proven: {n.is_proven}\n",
format! "is unprovable: {n.is_unprovable}\n",
format! "is irrelevant: {n.is_irrelevant}\n",
format! "successful rule applications: {n.rapps}\n",
format! "rules waiting to be expanded:",
format.nested 2 unsafe_queue,
format.line,
format! "failed rule applications:",
format.nested 2 $ format.unlines (n.failed_rapps.map to_fmt) ]
meta instance : has_to_tactic_format node :=
⟨node.to_tactic_format⟩
meta def is_root (n : node) : bool :=
n.parent.is_none
meta def is_unknown (n : node) : bool :=
¬ n.is_proven ∧ ¬ n.is_unprovable
meta def has_no_unexpanded_unsafe_rule (n : node) : bool :=
match n.unsafe_queue with
| none := ff
| some q := q.empty
end
end node
/-! ## Rule Applications -/
/- Rule application. -/
meta structure rapp :=
(parent : node_id)
(applied_rule : regular_rule)
(cumulative_success_probability : percent)
(proof : expr)
(subgoals : list node_id)
(is_proven : bool)
(is_unprovable : bool)
(is_irrelevant : bool)
namespace rapp
protected meta def to_tactic_format (r : rapp) : tactic format := do
proof ← pp r.proof,
pure $ format.join
[ format! "parent: {r.parent}\n",
format! "rule: {r.applied_rule}\n",
format! "cumulative success probability: {r.cumulative_success_probability}\n",
format! "is proven: {r.is_proven}\n",
format! "is unprovable: {r.is_unprovable}\n",
format! "is irrelevant: {r.is_irrelevant}\n",
"proof:",
format.nested 2 proof,
format.line,
format! "subgoal nodes: {r.subgoals}" ]
meta instance : has_to_tactic_format rapp :=
⟨rapp.to_tactic_format⟩
end rapp
/-
Invariant: The root node has ID `node_id.zero`.
Invariant: Any `node_id` or `rapp_id` referenced in a `node` or `rapp` in the
tree is contained in `nodes` or `rapps`.
-/
meta structure tree :=
(nodes : rb_map node_id node)
(rapps : rb_map rapp_id rapp)
(next_node_id : node_id)
(next_rapp_id : rapp_id)
namespace tree
meta def empty : tree :=
{ nodes := rb_map.mk _ _,
rapps := rb_map.mk _ _,
next_node_id := node_id.zero,
next_rapp_id := rapp_id.zero }
meta def get_node (id : node_id) (t : tree) : option node :=
t.nodes.find id
meta def get_node' (id : node_id) (err_prefix : format) (t : tree) : tactic node :=
match t.get_node id with
| some n := pure n
| none := fail! "{err_prefix}node {id} not found"
end
/- If the node ID doesn't exist yet, it is added. -/
meta def replace_node (id : node_id) (n : node) (t : tree) : tree :=
{ nodes := t.nodes.insert id n, ..t }
/- If the rapp ID doesn't exist yet, it is added. -/
meta def replace_rapp (rid : rapp_id) (r : rapp) (t : tree) : tree :=
{ rapps := t.rapps.insert rid r, ..t }
meta def with_node' {α} (id : node_id) (f : node → α) (t : tree) : α :=
match t.get_node id with
| some n := f n
| none := undefined_core $
(format! "aesop/with_node: internal error: node {id} not found").to_string
end
meta def with_node (id : node_id) (f : node → tree) (t : tree) : tree :=
with_node' id f t
meta def modify_node (id : node_id) (f : node → node) (t : tree) : tree :=
t.with_node id $ λ n, t.replace_node id (f n)
meta def get_rapp (id : rapp_id) (t : tree) : option rapp :=
t.rapps.find id
meta def get_rapp' (id : rapp_id) (err_prefix : format) (t : tree) : tactic rapp :=
match t.get_rapp id with
| some r := pure r
| none := fail! "{err_prefix}node {id} not found"
end
meta def get_rapps (ids : list rapp_id) (t : tree) : list (rapp_id × rapp) :=
ids.filter_map $ λ id, (λ r, (id, r)) <$> t.get_rapp id
meta def with_rapp' {α} (id : rapp_id) (f : rapp → α) (t : tree) : α :=
match t.get_rapp id with
| some r := f r
| none := undefined_core $
(format! "aesop/with_rapp: internal error: rule application {id} not found").to_string
end
meta def with_rapp (id : rapp_id) (f : rapp → tree) (t : tree) : tree :=
with_rapp' id f t
meta def modify_rapp (rid : rapp_id) (f : rapp → rapp) (t : tree) : tree :=
t.with_rapp rid $ λ r, t.replace_rapp rid (f r)
meta def insert_node (n : node) (t : tree) : node_id × tree :=
let id := t.next_node_id in
let t := { nodes := t.nodes.insert id n, next_node_id := id.succ, ..t} in
match n.parent with
| none := (id, t)
| some parent_id :=
let t := t.modify_rapp parent_id $ λ parent,
{ subgoals := id :: parent.subgoals, ..parent } in
(id, t)
end
meta def insert_rapp (r : rapp) (t : tree) : rapp_id × tree :=
let rid := t.next_rapp_id in
let t := { rapps := t.rapps.insert rid r, next_rapp_id := rid.succ, ..t} in
let t := t.modify_node r.parent $ λ parent,
{ rapps := rid :: parent.rapps, ..parent } in
(rid, t)
meta def modify_down (f_node : node_id → node → tree → tree)
(f_rapp : rapp_id → rapp → tree → tree) : sum node_id rapp_id → tree → tree
| (sum.inl id) t :=
t.with_node id $ λ n,
let t := f_node id n t in
n.rapps.foldl (λ t rid, modify_down (sum.inr rid) t) t
| (sum.inr rid) t :=
t.with_rapp rid $ λ r,
let t := f_rapp rid r t in
r.subgoals.foldl (λ t id, modify_down (sum.inl id) t) t
meta def modify_up (f_node : node_id → node → tree → tree × bool)
(f_rapp : rapp_id → rapp → tree → tree × bool) :
sum node_id rapp_id → tree → tree
| (sum.inl id) t :=
t.with_node id $ λ n,
let (t, continue) := f_node id n t in
if continue
then
match n.parent with
| some rid := modify_up (sum.inr rid) t
| none := t
end
else
t
| (sum.inr rid) t :=
t.with_rapp rid $ λ r,
let (t, continue) := f_rapp rid r t in
if continue
then modify_up (sum.inl r.parent) t
else t
meta def set_irrelevant : sum node_id rapp_id → tree → tree :=
modify_down
(λ id n t, t.replace_node id { is_irrelevant := tt, ..n })
(λ rid r t, t.replace_rapp rid { is_irrelevant := tt, ..r })
meta def set_node_irrelevant (id : node_id) : tree → tree :=
set_irrelevant (sum.inl id)
meta def set_rapp_irrelevant (rid : rapp_id) : tree → tree :=
set_irrelevant (sum.inr rid)
meta def rapp_subgoals_proven (r : rapp) (t : tree) : bool :=
r.subgoals.all $ λ id, t.with_node' id node.is_proven
meta def set_proven : sum node_id rapp_id → tree → tree :=
modify_up
(λ id n t, (t.replace_node id { is_proven := tt, ..n }, tt))
(λ rid r t,
if ¬ t.rapp_subgoals_proven r
then (t, ff)
else
-- Mark rule application as proven.
let t := t.replace_rapp rid { is_proven := tt, ..r } in
-- Mark siblings of the proven rule application (and their descendants)
-- as irrelevant.
let t := t.with_node r.parent
(λ parent,
let siblings := parent.rapps.filter (λ rid', rid' ≠ rid) in
siblings.foldl (λ t s, set_rapp_irrelevant s t) t) in
(t, tt))
meta def set_node_proven (id : node_id) : tree → tree :=
set_proven (sum.inl id)
meta def set_rapp_proven (rid : rapp_id) : tree → tree :=
set_proven (sum.inr rid)
meta def node_has_provable_rapp (n : node) (t : tree) : bool :=
n.rapps.any $ λ id, t.with_rapp' id $ λ r, ¬ r.is_unprovable
meta def node_may_have_unexpanded_rapp (n : node) (t : tree) : bool :=
¬ n.has_no_unexpanded_unsafe_rule ∧
¬ n.rapps.any (λ id, t.with_rapp' id $ λ r, r.applied_rule.is_safe)
meta def set_unprovable : sum node_id rapp_id → tree → tree :=
modify_up
(λ id n t,
if node_may_have_unexpanded_rapp n t ∨ node_has_provable_rapp n t
then (t, ff)
else
-- Mark node as unprovable.
let t := t.replace_node id { is_unprovable := tt, ..n } in
-- Mark siblings of the unprovable node (and their descendants)
-- as irrelevant.
match n.parent with
| none := (t, ff)
| some parent_rid :=
let t := t.with_rapp parent_rid
(λ parent,
let siblings := parent.subgoals.filter (λ id', id' ≠ id) in
siblings.foldl (λ t s, set_node_irrelevant s t) t) in
(t, tt)
end)
(λ rid r t, (t.replace_rapp rid { is_unprovable := tt, ..r }, tt))
meta def set_node_unprovable (id : node_id) : tree → tree :=
set_unprovable (sum.inl id)
meta def set_rapp_unprovable (rid : rapp_id) : tree → tree :=
set_unprovable (sum.inr rid)
meta def root_node_is_proven (t : tree) : bool :=
t.with_node' node_id.zero node.is_proven
meta def root_node_is_unprovable (t : tree) : bool :=
t.with_node' node_id.zero node.is_unprovable
meta def find_proven_rapp (rapps : list rapp_id) (t : tree) : option (rapp_id × rapp) :=
(t.get_rapps rapps).find $ λ p, p.snd.is_proven
private meta def link_proofs_core : node_id → tree → tactic unit := λ id t, do
n ← t.get_node' id "aesop/link_proofs: internal error: ",
(some (rid, r)) ← pure $ t.find_proven_rapp n.rapps
| fail! "aesop/link_proofs: internal error: node {id} not proven",
r.subgoals.mmap' $ λ subgoal, link_proofs_core subgoal t,
unify n.goal r.proof <|> fail!
"aesop/link_proofs: internal error: proof of rule application {rid} did not unify with the goal of its parent node {id}"
/- Can only be used ONCE after the root node has been proven. -/
meta def link_proofs : tree → tactic unit :=
link_proofs_core node_id.zero
/- Only use this after you've called `link_proofs`. -/
meta def extract_proof (t : tree) : tactic expr := do
n ← t.get_node' node_id.zero
"aesop/extract_proof: internal error: ",
instantiate_mvars n.goal
meta def format_node (id : node_id) (n : node) : tactic format := do
n ← pp n,
pure $ format.join
[ "node " ++ to_fmt id,
format.nested 2 n ]
meta def format_rapp (rid : rapp_id) (r : rapp) : tactic format := do
r ← pp r,
pure $ format.join
[ "rule application " ++ to_fmt rid,
format.nested 2 r ]
protected meta def to_tactic_format (t : tree) : tactic format := do
nodes ← t.nodes.to_list.mmap (function.uncurry format_node),
rapps ← t.rapps.to_list.mmap (function.uncurry format_rapp),
pure $ format.unlines $ nodes ++ rapps
meta instance : has_to_tactic_format tree :=
⟨tree.to_tactic_format⟩
end tree
end aesop
end tactic
|
46adb07f2336ae0d4f2eebb69779d66c78330666 | cf39355caa609c0f33405126beee2739aa3cb77e | /tests/lean/as_is_leak_bug.lean | 0c51bede19e28b616eacdd9cb02e7e14c1ddfe79 | [
"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 | 218 | lean | section
set_option pp.annotations true
parameters {α : Type} [has_to_string α]
def f (a : α) : string := to_string a
def g := f
def g' := (f, α)
def h := (f, g, g', α)
#print f
#print g
#print g'
#print h
end
|
e01ad2a040d9ae43b89dca12c82bd46cd0f9f151 | 4727251e0cd73359b15b664c3170e5d754078599 | /src/analysis/normed_space/weak_dual.lean | 472fd416adc9c4a4718e1316f63f13c3dcb485a5 | [
"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 | 9,916 | lean | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä, Yury Kudryashov
-/
import topology.algebra.module.weak_dual
import analysis.normed_space.dual
import analysis.normed_space.operator_norm
/-!
# Weak dual of normed space
Let `E` be a normed space over a field `𝕜`. This file is concerned with properties of the weak-*
topology on the dual of `E`. By the dual, we mean either of the type synonyms
`normed_space.dual 𝕜 E` or `weak_dual 𝕜 E`, depending on whether it is viewed as equipped with its
usual operator norm topology or the weak-* topology.
It is shown that the canonical mapping `normed_space.dual 𝕜 E → weak_dual 𝕜 E` is continuous, and
as a consequence the weak-* topology is coarser than the topology obtained from the operator norm
(dual norm).
In this file, we also establish the Banach-Alaoglu theorem about the compactness of closed balls
in the dual of `E` (as well as sets of somewhat more general form) with respect to the weak-*
topology.
## Main definitions
The main definitions concern the canonical mapping `dual 𝕜 E → weak_dual 𝕜 E`.
* `normed_space.dual.to_weak_dual` and `weak_dual.to_normed_dual`: Linear equivalences from
`dual 𝕜 E` to `weak_dual 𝕜 E` and in the converse direction.
* `normed_space.dual.continuous_linear_map_to_weak_dual`: A continuous linear mapping from
`dual 𝕜 E` to `weak_dual 𝕜 E` (same as `normed_space.dual.to_weak_dual` but different bundled
data).
## Main results
The first main result concerns the comparison of the operator norm topology on `dual 𝕜 E` and the
weak-* topology on (its type synonym) `weak_dual 𝕜 E`:
* `dual_norm_topology_le_weak_dual_topology`: The weak-* topology on the dual of a normed space is
coarser (not necessarily strictly) than the operator norm topology.
* `weak_dual.is_compact_polar` (a version of the Banach-Alaoglu theorem): The polar set of a
neighborhood of the origin in a normed space `E` over `𝕜` is compact in `weak_dual _ E`, if the
nondiscrete normed field `𝕜` is proper as a topological space.
* `weak_dual.is_compact_closed_ball` (the most common special case of the Banach-Alaoglu theorem):
Closed balls in the dual of a normed space `E` over `ℝ` or `ℂ` are compact in the weak-star
topology.
TODOs:
* Add that in finite dimensions, the weak-* topology and the dual norm topology coincide.
* Add that in infinite dimensions, the weak-* topology is strictly coarser than the dual norm
topology.
* Add metrizability of the dual unit ball (more generally weak-star compact subsets) of
`weak_dual 𝕜 E` under the assumption of separability of `E`.
* Add the sequential Banach-Alaoglu theorem: the dual unit ball of a separable normed space `E`
is sequentially compact in the weak-star topology. This would follow from the metrizability above.
## Notations
No new notation is introduced.
## Implementation notes
Weak-* topology is defined generally in the file `topology.algebra.module.weak_dual`.
When `E` is a normed space, the duals `dual 𝕜 E` and `weak_dual 𝕜 E` are type synonyms with
different topology instances.
For the proof of Banach-Alaoglu theorem, the weak dual of `E` is embedded in the space of
functions `E → 𝕜` with the topology of pointwise convergence.
The polar set `polar 𝕜 s` of a subset `s` of `E` is originally defined as a subset of the dual
`dual 𝕜 E`. We care about properties of these w.r.t. weak-* topology, and for this purpose give
the definition `weak_dual.polar 𝕜 s` for the "same" subset viewed as a subset of `weak_dual 𝕜 E`
(a type synonym of the dual but with a different topology instance).
## References
* https://en.wikipedia.org/wiki/Weak_topology#Weak-*_topology
* https://en.wikipedia.org/wiki/Banach%E2%80%93Alaoglu_theorem
## Tags
weak-star, weak dual
-/
noncomputable theory
open filter function metric set
open_locale topological_space filter
/-!
### Weak star topology on duals of normed spaces
In this section, we prove properties about the weak-* topology on duals of normed spaces.
We prove in particular that the canonical mapping `dual 𝕜 E → weak_dual 𝕜 E` is continuous,
i.e., that the weak-* topology is coarser (not necessarily strictly) than the topology given
by the dual-norm (i.e. the operator-norm).
-/
variables {𝕜 : Type*} [nondiscrete_normed_field 𝕜]
variables {E : Type*} [semi_normed_group E] [normed_space 𝕜 E]
namespace normed_space
namespace dual
/-- For normed spaces `E`, there is a canonical map `dual 𝕜 E → weak_dual 𝕜 E` (the "identity"
mapping). It is a linear equivalence. -/
def to_weak_dual : dual 𝕜 E ≃ₗ[𝕜] weak_dual 𝕜 E := linear_equiv.refl 𝕜 (E →L[𝕜] 𝕜)
@[simp] lemma coe_to_weak_dual (x' : dual 𝕜 E) : ⇑(x'.to_weak_dual) = x' := rfl
@[simp] lemma to_weak_dual_eq_iff (x' y' : dual 𝕜 E) :
x'.to_weak_dual = y'.to_weak_dual ↔ x' = y' :=
to_weak_dual.injective.eq_iff
theorem to_weak_dual_continuous : continuous (λ (x' : dual 𝕜 E), x'.to_weak_dual) :=
weak_bilin.continuous_of_continuous_eval _ $ λ z, (inclusion_in_double_dual 𝕜 E z).continuous
/-- For a normed space `E`, according to `to_weak_dual_continuous` the "identity mapping"
`dual 𝕜 E → weak_dual 𝕜 E` is continuous. This definition implements it as a continuous linear
map. -/
def continuous_linear_map_to_weak_dual : dual 𝕜 E →L[𝕜] weak_dual 𝕜 E :=
{ cont := to_weak_dual_continuous, .. to_weak_dual, }
/-- The weak-star topology is coarser than the dual-norm topology. -/
theorem dual_norm_topology_le_weak_dual_topology :
(by apply_instance : topological_space (dual 𝕜 E)) ≤
(by apply_instance : topological_space (weak_dual 𝕜 E)) :=
by { convert to_weak_dual_continuous.le_induced, exact induced_id.symm }
end dual
end normed_space
namespace weak_dual
open normed_space
/-- For normed spaces `E`, there is a canonical map `weak_dual 𝕜 E → dual 𝕜 E` (the "identity"
mapping). It is a linear equivalence. Here it is implemented as the inverse of the linear
equivalence `normed_space.dual.to_weak_dual` in the other direction. -/
def to_normed_dual : weak_dual 𝕜 E ≃ₗ[𝕜] dual 𝕜 E := normed_space.dual.to_weak_dual.symm
@[simp] lemma coe_to_normed_dual (x' : weak_dual 𝕜 E) : ⇑(x'.to_normed_dual) = x' := rfl
@[simp] lemma to_normed_dual_eq_iff (x' y' : weak_dual 𝕜 E) :
x'.to_normed_dual = y'.to_normed_dual ↔ x' = y' :=
weak_dual.to_normed_dual.injective.eq_iff
lemma is_closed_closed_ball (x' : dual 𝕜 E) (r : ℝ) :
is_closed (to_normed_dual ⁻¹' closed_ball x' r) :=
is_closed_induced_iff'.2 (continuous_linear_map.is_weak_closed_closed_ball x' r)
/-!
### Polar sets in the weak dual space
-/
variables (𝕜)
/-- The polar set `polar 𝕜 s` of `s : set E` seen as a subset of the dual of `E` with the
weak-star topology is `weak_dual.polar 𝕜 s`. -/
def polar (s : set E) : set (weak_dual 𝕜 E) := to_normed_dual ⁻¹' polar 𝕜 s
lemma polar_def (s : set E) : polar 𝕜 s = {f : weak_dual 𝕜 E | ∀ x ∈ s, ∥f x∥ ≤ 1} := rfl
/-- The polar `polar 𝕜 s` of a set `s : E` is a closed subset when the weak star topology
is used. -/
lemma is_closed_polar (s : set E) : is_closed (polar 𝕜 s) :=
begin
simp only [polar_def, set_of_forall],
exact is_closed_bInter (λ x hx, is_closed_Iic.preimage (weak_bilin.eval_continuous _ _).norm)
end
variable {𝕜}
/-- While the coercion `coe_fn : weak_dual 𝕜 E → (E → 𝕜)` is not a closed map, it sends *bounded*
closed sets to closed sets. -/
lemma is_closed_image_coe_of_bounded_of_closed {s : set (weak_dual 𝕜 E)}
(hb : bounded (dual.to_weak_dual ⁻¹' s)) (hc : is_closed s) :
is_closed ((coe_fn : weak_dual 𝕜 E → E → 𝕜) '' s) :=
continuous_linear_map.is_closed_image_coe_of_bounded_of_weak_closed hb (is_closed_induced_iff'.1 hc)
lemma is_compact_of_bounded_of_closed [proper_space 𝕜] {s : set (weak_dual 𝕜 E)}
(hb : bounded (dual.to_weak_dual ⁻¹' s)) (hc : is_closed s) :
is_compact s :=
(embedding.is_compact_iff_is_compact_image fun_like.coe_injective.embedding_induced).mpr $
continuous_linear_map.is_compact_image_coe_of_bounded_of_closed_image hb $
is_closed_image_coe_of_bounded_of_closed hb hc
variable (𝕜)
/-- The image under `coe_fn : weak_dual 𝕜 E → (E → 𝕜)` of a polar `weak_dual.polar 𝕜 s` of a
neighborhood `s` of the origin is a closed set. -/
lemma is_closed_image_polar_of_mem_nhds {s : set E} (s_nhd : s ∈ 𝓝 (0 : E)) :
is_closed ((coe_fn : weak_dual 𝕜 E → E → 𝕜) '' polar 𝕜 s) :=
is_closed_image_coe_of_bounded_of_closed (bounded_polar_of_mem_nhds_zero 𝕜 s_nhd)
(is_closed_polar _ _)
/-- The image under `coe_fn : normed_space.dual 𝕜 E → (E → 𝕜)` of a polar `polar 𝕜 s` of a
neighborhood `s` of the origin is a closed set. -/
lemma _root_.normed_space.dual.is_closed_image_polar_of_mem_nhds {s : set E}
(s_nhd : s ∈ 𝓝 (0 : E)) : is_closed ((coe_fn : dual 𝕜 E → E → 𝕜) '' normed_space.polar 𝕜 s) :=
is_closed_image_polar_of_mem_nhds 𝕜 s_nhd
/-- The **Banach-Alaoglu theorem**: the polar set of a neighborhood `s` of the origin in a
normed space `E` is a compact subset of `weak_dual 𝕜 E`. -/
theorem is_compact_polar [proper_space 𝕜] {s : set E} (s_nhd : s ∈ 𝓝 (0 : E)) :
is_compact (polar 𝕜 s) :=
is_compact_of_bounded_of_closed (bounded_polar_of_mem_nhds_zero 𝕜 s_nhd) (is_closed_polar _ _)
/-- The **Banach-Alaoglu theorem**: closed balls of the dual of a normed space `E` are compact in
the weak-star topology. -/
theorem is_compact_closed_ball [proper_space 𝕜] (x' : dual 𝕜 E) (r : ℝ) :
is_compact (to_normed_dual ⁻¹' (closed_ball x' r)) :=
is_compact_of_bounded_of_closed bounded_closed_ball (is_closed_closed_ball x' r)
end weak_dual
|
0b236b466eb42745b99ce31e86da3dee97941d11 | 9ad8d18fbe5f120c22b5e035bc240f711d2cbd7e | /src/homotopy/itloc.lean | 5799c489bed573964a7277fa5d369b4b4bf1b66c | [] | no_license | agusakov/lean_lib | c0e9cc29fc7d2518004e224376adeb5e69b5cc1a | f88d162da2f990b87c4d34f5f46bbca2bbc5948e | refs/heads/master | 1,642,141,461,087 | 1,557,395,798,000 | 1,557,395,798,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 30,003 | lean | /-
Copyright (c) 2019 Neil Strickland. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Neil Strickland
This file formalises some of the combinatorial part of the
paper "Iterated chromatic localization" by Nicola Bellumat and
Neil Strickland (which is in preparation). We expect to
formalise all of the combinatorial content (including the
results in the combinatorial homotopy theory of finite
posets). We may or may not add in a kind of "formal abstracts"
account of the theory of derivators and chromatic homotopy
theory that forms the rest of the paper.
-/
import data.list.basic
import data.fin
import data.fintype
import order.bounded_lattice
import algebra.big_operators
import data.fin_extra
import homotopy.poset homotopy.upper
import tactic.squeeze
open poset
namespace itloc
/-
`𝕀 n` is the set {0,1,...,n-1}
-/
variable (n : ℕ)
def 𝕀 := fin n
namespace 𝕀
instance : fintype (𝕀 n) := by {dsimp[𝕀],apply_instance}
instance : decidable_eq (𝕀 n) := by {dsimp[𝕀],apply_instance}
instance : decidable_linear_order (𝕀 n) :=
(@fin.decidable_linear_order n).
end 𝕀
/-
`ℙ n` is the poset of subsets of `𝕀 n`, ordered by inclusion
-/
def ℙ := finset (𝕀 n)
namespace ℙ
instance : fintype (ℙ n) := by {dsimp[ℙ],apply_instance}
instance : decidable_eq (ℙ n) := by {dsimp[ℙ],apply_instance}
instance : has_mem (𝕀 n) (ℙ n) := by {dsimp[𝕀,ℙ], apply_instance }
instance dl : lattice.distrib_lattice (ℙ n) :=
by {dsimp[ℙ],apply_instance}.
instance : lattice.bounded_distrib_lattice (ℙ n) := {
bot := finset.empty,
top := finset.univ,
le_top := λ (A : finset (𝕀 n)),
begin change A ⊆ finset.univ,intros i _,exact finset.mem_univ i end,
bot_le := λ (A : finset (𝕀 n)),
begin change finset.empty ⊆ A,intros i h,
exact (finset.not_mem_empty i h).elim end,
.. (ℙ.dl n)
}
instance : decidable_rel (λ (A B : ℙ n), A ≤ B) :=
λ (A B : finset (𝕀 n)), by { change decidable (A ⊆ B), apply_instance, }
variable {n}
lemma not_mem_bot (i : 𝕀 n) : ¬ (i ∈ (⊥ : ℙ n)) := finset.not_mem_empty i
lemma mem_top (i : 𝕀 n) : (i ∈ (⊤ : ℙ n)) := finset.mem_univ i
lemma mem_sup {A B : ℙ n} {i : 𝕀 n} :
i ∈ A ⊔ B ↔ (i ∈ A) ∨ (i ∈ B) := finset.mem_union
lemma mem_inf {A B : ℙ n} {i : 𝕀 n} :
i ∈ A ⊓ B ↔ (i ∈ A) ∧ (i ∈ B) := finset.mem_inter
def filter_lt (i : ℕ) (A : ℙ n) := A.filter (λ a, a.val < i)
def filter_le (i : ℕ) (A : ℙ n) := A.filter (λ a, a.val ≤ i)
def filter_gt (i : ℕ) (A : ℙ n) := A.filter (λ a, a.val > i)
def filter_ge (i : ℕ) (A : ℙ n) := A.filter (λ a, a.val ≥ i)
lemma mem_filter_lt {i : ℕ} {A : ℙ n} {a : 𝕀 n} :
a ∈ (filter_lt i A) ↔ a ∈ A ∧ a.val < i := finset.mem_filter
lemma mem_filter_le {i : ℕ} {A : ℙ n} {a : 𝕀 n} :
a ∈ (filter_le i A) ↔ a ∈ A ∧ a.val ≤ i := finset.mem_filter
lemma mem_filter_gt {i : ℕ} {A : ℙ n} {a : 𝕀 n} :
a ∈ (filter_gt i A) ↔ a ∈ A ∧ a.val > i := finset.mem_filter
lemma mem_filter_ge {i : ℕ} {A : ℙ n} {a : 𝕀 n} :
a ∈ (filter_ge i A) ↔ a ∈ A ∧ a.val ≥ i := finset.mem_filter
lemma filter_lt_ge (i : ℕ) (A : ℙ n) :
A = (filter_lt i A) ⊔ (filter_ge i A) :=
begin
ext a,
rw[mem_sup,mem_filter_lt,mem_filter_ge,← and_or_distrib_left],
rw[eq_true_intro (lt_or_ge a.val i),and_true],
end
lemma filter_le_gt (i : ℕ) (A : ℙ n) :
A = (filter_le i A) ⊔ (filter_gt i A) :=
begin
ext a,
rw[mem_sup,mem_filter_le,mem_filter_gt,← and_or_distrib_left],
rw[eq_true_intro (le_or_gt a.val i),and_true],
end
lemma filter_le_ge (i : ℕ) (A : ℙ n) :
A = (filter_le i A) ⊔ (filter_ge i A) :=
begin
ext a,
rw[mem_sup,mem_filter_le,mem_filter_ge,← and_or_distrib_left],
have h : a.val ≤ i ∨ a.val ≥ i := begin
rcases le_or_gt a.val i with h_le | h_gt,
exact or.inl h_le,
exact or.inr (le_of_lt h_gt),
end,
rw[eq_true_intro h,and_true],
end
lemma filter_lt_zero (A : ℙ n) : A.filter_lt 0 = ⊥ :=
by { ext a,
rw[ℙ.mem_filter_lt],
have : ¬ (a ∈ ⊥) := finset.not_mem_empty a,
simp only [nat.not_lt_zero,this,iff_self,and_false]}
lemma filter_ge_zero (A : ℙ n) : A.filter_ge 0 = A :=
by { ext a,
rw[ℙ.mem_filter_ge],
have : a.val ≥ 0 := nat.zero_le a.val,
simp only [this,iff_self,and_true]}
lemma filter_lt_last (A : ℙ n) : A.filter_lt n = A :=
by { ext a,
rw[ℙ.mem_filter_lt],
simp only [a.is_lt,iff_self,and_true]}
lemma filter_ge_last (A : ℙ n) : A.filter_ge n = ⊥ :=
by { ext a,
rw[ℙ.mem_filter_ge],
have h0 : ¬ (a ∈ ⊥) := finset.not_mem_empty a,
have h1 : ¬ (a.val ≥ n) := not_le_of_gt a.is_lt,
simp only [h0,h1,iff_self,and_false]}
/-
For subsets `A,B ⊆ 𝕀 n`, the notation `A ∟ B` means that every
element of `A` is less than or equal to every element of `B`
-/
def angle : (ℙ n) → (ℙ n) → Prop :=
λ A B, ∀ (i j : 𝕀 n), i ∈ A → j ∈ B → i ≤ j
reserve infix ` ∟ `:50
notation A ∟ B := angle A B
instance : ∀ (A B : ℙ n), decidable (angle A B) :=
by {dsimp[angle],apply_instance}
lemma bot_angle (B : ℙ n) : ⊥ ∟ B :=
λ i j i_in_A j_in_B, (finset.not_mem_empty i i_in_A).elim
lemma angle_bot (A : ℙ n) : A ∟ ⊥ :=
λ i j i_in_A j_in_B, (finset.not_mem_empty j j_in_B).elim
lemma sup_angle (A B C : ℙ n) : A ⊔ B ∟ C ↔ (A ∟ C) ∧ (B ∟ C) :=
begin
split,
{rintro hAB,split,
exact λ i k i_in_A k_in_C,
hAB i k (finset.subset_union_left A B i_in_A) k_in_C,
exact λ j k j_in_B k_in_C,
hAB j k (finset.subset_union_right A B j_in_B) k_in_C,
},{
rintros ⟨hA,hB⟩ i k i_in_AB k_in_C,
rcases finset.mem_union.mp i_in_AB with i_in_A | i_in_B,
exact hA i k i_in_A k_in_C,
exact hB i k i_in_B k_in_C,
}
end
lemma angle_sup (A B C : ℙ n) : A ∟ B ⊔ C ↔ (A ∟ B) ∧ (A ∟ C) :=
begin
split,
{rintro hBC,split,
exact λ i j i_in_A j_in_B,
hBC i j i_in_A (finset.subset_union_left B C j_in_B),
exact λ i k i_in_A k_in_C,
hBC i k i_in_A (finset.subset_union_right B C k_in_C),
},{
rintros ⟨hB,hC⟩ i j i_in_A j_in_BC,
rcases finset.mem_union.mp j_in_BC with j_in_B | j_in_C,
exact hB i j i_in_A j_in_B,
exact hC i j i_in_A j_in_C,
}
end
lemma lt_angle_ge (k : ℕ) (A : ℙ n) : (A.filter_lt k) ∟ (A.filter_ge k) :=
λ i j i_small j_large,begin
let h0 := (ℙ.mem_filter_lt.mp i_small).right,
let h1 := (ℙ.mem_filter_ge.mp j_large).right,
let h2 := le_of_lt (lt_of_lt_of_le h0 h1),
exact h2,
end
lemma le_angle_gt (k : ℕ) (A : ℙ n) : (A.filter_le k) ∟ (A.filter_gt k) :=
λ i j i_small j_large,begin
let h0 := (ℙ.mem_filter_le.mp i_small).right,
let h1 := (ℙ.mem_filter_gt.mp j_large).right,
let h2 := le_of_lt (lt_of_le_of_lt h0 h1),
exact h2,
end
lemma le_angle_ge (k : ℕ) (A : ℙ n) : (A.filter_le k) ∟ (A.filter_ge k) :=
λ i j i_small j_large,begin
let h0 := (ℙ.mem_filter_le.mp i_small).right,
let h1 := (ℙ.mem_filter_ge.mp j_large).right,
let h2 := le_trans h0 h1,
exact h2,
end
lemma filter_lt_angle_of_angle (k : ℕ) (A B : ℙ n) (h : A ∟ B) :
(A.filter_lt k) ∟ B :=
λ i j i_in_A' j_in_B, h i j (mem_filter_lt.mp i_in_A').left j_in_B
lemma filter_le_angle_of_angle (k : ℕ) (A B : ℙ n) (h : A ∟ B) :
(A.filter_le k) ∟ B :=
λ i j i_in_A' j_in_B, h i j (mem_filter_le.mp i_in_A').left j_in_B
lemma angle_filter_gt_of_angle (k : ℕ) (A B : ℙ n) (h : A ∟ B) :
A ∟ (B.filter_gt k) :=
λ i j i_in_A j_in_B', h i j i_in_A (mem_filter_gt.mp j_in_B').left
lemma angle_filter_ge_of_angle (k : ℕ) (A B : ℙ n) (h : A ∟ B) :
A ∟ (B.filter_ge k) :=
λ i j i_in_A j_in_B', h i j i_in_A (mem_filter_ge.mp j_in_B').left
lemma split_angle {A B : ℙ n} (k : 𝕀 n)
(hA : ∀ i, i ∈ A → i ≤ k) (hB : ∀ j, j ∈ B → k ≤ j) : A ∟ B :=
λ i j i_in_A j_in_B, le_trans (hA i i_in_A) (hB j j_in_B)
lemma angle_iff {A B : ℙ n} :
A ∟ B ↔ (A = ⊥ ∧ B = ⊥) ∨
∃ (k : 𝕀 n), (∀ i, (i ∈ A) → i ≤ k) ∧ (∀ i, i ∈ B → k ≤ i) :=
begin
split,
{intro h,
by_cases hA : A = ⊥,
{by_cases hB : B = ⊥,
{left, exact ⟨hA,hB⟩},
{rcases (fin.finset_least_element B hB) with ⟨k,⟨k_in_B,k_least⟩⟩,
right,use k,split,
{intros i i_in_A,exact h i k i_in_A k_in_B,},
{exact k_least,}
},
},{
rcases (fin.finset_largest_element A hA) with ⟨k,⟨k_in_A,k_largest⟩⟩,
right,use k,split,
{exact k_largest},
{intros j j_in_B,exact h k j k_in_A j_in_B,}
}
},
{rintro (⟨A_empty,B_empty⟩ | ⟨k,⟨hA,hB⟩⟩),
{rw[A_empty],exact bot_angle B},
{exact split_angle k hA hB,}
}
end
end ℙ
/-
We define `ℚ n` to be the poset of upwards-closed subsets of
`ℙ n`, ordered by reverse inclusion.
-/
variable (n)
def ℚ := poset.upper (ℙ n)
instance : lattice.bounded_distrib_lattice (ℚ n) :=
@upper.bdl (ℙ n) _ _ _ _
instance ℙ_mem_ℚ : has_mem (ℙ n) (ℚ n) :=
by { unfold ℚ, apply_instance }
variable {n}
/-
We make `ℚ n` into a monoid as follows: `U * V` is the set of all
sets of the form `A ∪ B`, where `A ∈ U` and `B ∈ V` and `A ∟ B`.
The monoid structure is compatible with the partial order, and this
allows us to regard `ℚ n` as a monoidal category (in which all
hom sets have size at most one).
-/
def mul0 (U V : finset (ℙ n)) : finset (ℙ n) :=
U.bind (λ A, (V.filter (λ B,A ∟ B)).image (λ B, A ⊔ B))
lemma mem_mul0 (U V : finset (ℙ n)) (C : ℙ n) :
(C ∈ (mul0 U V)) ↔ ∃ A B, A ∈ U ∧ B ∈ V ∧ (A ∟ B) ∧ (A ⊔ B = C) :=
begin
split,
{intro hC,
rcases finset.mem_bind.mp hC with ⟨A,⟨A_in_U,C_in_image⟩⟩,
rcases finset.mem_image.mp C_in_image with ⟨B,⟨B_in_filter,e⟩⟩,
rcases finset.mem_filter.mp B_in_filter with ⟨B_in_V,A_angle_B⟩,
use A, use B,
exact ⟨A_in_U,B_in_V,A_angle_B,e⟩,
},{
rintro ⟨A,B,A_in_U,B_in_V,A_angle_B,e⟩,
apply finset.mem_bind.mpr,use A,use A_in_U,
apply finset.mem_image.mpr,use B,
have B_in_filter : B ∈ V.val.filter _ :=
finset.mem_filter.mpr ⟨B_in_V,A_angle_B⟩,
use B_in_filter,
exact e,
}
end
lemma bot_mul0 (V : finset (ℙ n)) (hV : is_upper V) : mul0 finset.univ V = V :=
begin
ext C,
rw[mem_mul0 finset.univ V C],
split,
{rintro ⟨A,B,hA,hB,hAB,hC⟩,
have B_le_C : B ≤ C := hC ▸ (@lattice.le_sup_right _ _ A B),
exact hV B C B_le_C hB,
},{
intro C_in_V,
have A_in_U : (⊥ : ℙ n) ∈ finset.univ := @finset.mem_univ (ℙ n) _ ⊥,
use ⊥,use C,
exact ⟨A_in_U,C_in_V,C.bot_angle,lattice.bot_sup_eq⟩,
}
end
lemma mul0_bot (U : finset (ℙ n)) (hU : is_upper U) : mul0 U finset.univ = U :=
begin
ext C,
rw[mem_mul0 U finset.univ C],
split,
{rintro ⟨A,B,hA,hB,hAB,hC⟩,
have A_le_C : A ≤ C := hC ▸ (@lattice.le_sup_left _ _ A B),
exact hU A C A_le_C hA,
},{
intro C_in_U,
have B_in_V : (⊥ : ℙ n) ∈ (⊥ : ℚ n) := @finset.mem_univ (ℙ n) _ ⊥,
use C,use ⊥,
exact ⟨C_in_U,B_in_V,C.angle_bot,lattice.sup_bot_eq⟩,
}
end
lemma is_upper_mul0 (U V : finset (ℙ n))
(hU : is_upper U) (hV : is_upper V) : is_upper (mul0 U V) :=
begin
intros C C' C_le_C' C_in_mul,
rcases (mem_mul0 U V C).mp C_in_mul with ⟨A,B,A_in_U,B_in_V,A_angle_B,e⟩,
apply (mem_mul0 U V C').mpr,
rcases (ℙ.angle_iff.mp A_angle_B) with ⟨A_empty,B_empty⟩ | ⟨k,⟨hA,hB⟩⟩,
{use A, use C',
have B_le_C' : ⊥ ≤ C' := lattice.bot_le,
rw[← B_empty] at B_le_C',
have C'_in_V : C' ∈ V := hV B C' B_le_C' B_in_V,
have A_angle_C' : A ∟ C' := A_empty.symm ▸ C'.bot_angle,
have e : ⊥ ⊔ C' = C' := lattice.bot_sup_eq,
rw[← A_empty] at e,
exact ⟨A_in_U,C'_in_V,A_angle_C',e⟩,
},{
let A' := C'.filter (λ i, i ≤ k),
let B' := C'.filter (λ j, k ≤ j),
have A'_angle_B' : A' ∟ B' := λ i j i_in_A' j_in_B',
le_trans (finset.mem_filter.mp i_in_A').right (finset.mem_filter.mp j_in_B').right,
have A_le_C : A ≤ C := e ▸ (@lattice.le_sup_left _ _ A B),
have B_le_C : B ≤ C := e ▸ (@lattice.le_sup_right _ _ A B),
have A_le_A' : A ≤ A' := λ i i_in_A,
finset.mem_filter.mpr ⟨(le_trans A_le_C C_le_C') i_in_A,hA i i_in_A⟩,
have B_le_B' : B ≤ B' := λ j j_in_B,
finset.mem_filter.mpr ⟨(le_trans B_le_C C_le_C') j_in_B,hB j j_in_B⟩,
have A'_in_U : A' ∈ U.val := hU A A' A_le_A' A_in_U,
have B'_in_V : B' ∈ V.val := hV B B' B_le_B' B_in_V,
have eC' : C' = A' ⊔ B' := begin
ext i,split,
{intro i_in_C',
by_cases h : i ≤ k,
{exact finset.mem_union_left B' (finset.mem_filter.mpr ⟨i_in_C',h⟩)},
{replace h := le_of_lt (lt_of_not_ge h),
exact finset.mem_union_right A' (finset.mem_filter.mpr ⟨i_in_C',h⟩)
}
},{
intro i_in_union,
rcases finset.mem_union.mp i_in_union with i_in_A' | i_in_B',
{exact (finset.mem_filter.mp i_in_A').left,},
{exact (finset.mem_filter.mp i_in_B').left,}
}
end,
use A', use B',
exact ⟨A'_in_U,B'_in_V,A'_angle_B',eC'.symm⟩,
}
end
instance : monoid (ℚ n) := {
one := ⊥,
mul := λ U V, ⟨mul0 U.val V.val,is_upper_mul0 U.val V.val U.property V.property⟩,
one_mul := λ V, subtype.eq (bot_mul0 V.val V.property),
mul_one := λ U, subtype.eq (mul0_bot U.val U.property),
mul_assoc := λ ⟨U,hU⟩ ⟨V,hV⟩ ⟨W,hW⟩,
begin
apply subtype.eq,
change mul0 (mul0 U V) W = mul0 U (mul0 V W),
ext E,split,
{intro h,
rcases (mem_mul0 _ W E).mp h with ⟨AB,C,⟨hAB,hC,AB_angle_C,e_AB_C⟩⟩,
rcases (mem_mul0 U V AB).mp hAB with ⟨A,B,hA,hB,A_angle_B,e_A_B⟩,
have A_le_AB : A ≤ AB := e_A_B ▸ (finset.subset_union_left A B),
have B_le_AB : B ≤ AB := e_A_B ▸ (finset.subset_union_right A B),
have A_angle_C : A ∟ C := λ i k i_in_A k_in_C,
AB_angle_C i k (A_le_AB i_in_A) k_in_C,
have B_angle_C : B ∟ C := λ j k j_in_B k_in_C,
AB_angle_C j k (B_le_AB j_in_B) k_in_C,
let BC := B ⊔ C,
have A_angle_BC : A ∟ BC := begin
rintros i j i_in_A j_in_BC,
rcases (finset.mem_union.mp j_in_BC) with j_in_B | j_in_C,
{exact A_angle_B i j i_in_A j_in_B,},
{exact A_angle_C i j i_in_A j_in_C,}
end,
have hBC : BC ∈ mul0 V W := begin
apply (mem_mul0 V W BC).mpr,use B, use C,
exact ⟨hB,hC,B_angle_C,rfl⟩
end,
have e_A_BC := calc
A ⊔ BC = A ⊔ (B ⊔ C) : rfl
... = (A ⊔ B) ⊔ C : by rw[lattice.sup_assoc]
... = E : by rw[e_A_B,e_AB_C],
apply (mem_mul0 U (mul0 V W) E).mpr,
use A,use BC,
exact ⟨hA,hBC,A_angle_BC,e_A_BC⟩,
},
{intro h,
rcases (mem_mul0 U _ E).mp h with ⟨A,BC,⟨hA,hBC,A_angle_BC,e_A_BC⟩⟩,
rcases (mem_mul0 V W BC).mp hBC with ⟨B,C,hB,hC,B_angle_C,e_B_C⟩,
have B_le_BC : B ≤ BC := e_B_C ▸ (finset.subset_union_left B C),
have C_le_BC : C ≤ BC := e_B_C ▸ (finset.subset_union_right B C),
have A_angle_B : A ∟ B := λ i j i_in_A j_in_B,
A_angle_BC i j i_in_A (B_le_BC j_in_B),
have A_angle_C : A ∟ C := λ i k i_in_A k_in_C,
A_angle_BC i k i_in_A (C_le_BC k_in_C),
let AB := A ⊔ B,
have AB_angle_C : AB ∟ C := begin
rintros i k i_in_AB k_in_C,
rcases (finset.mem_union.mp i_in_AB) with i_in_A | i_in_B,
{exact A_angle_C i k i_in_A k_in_C,},
{exact B_angle_C i k i_in_B k_in_C,}
end,
have hAB : AB ∈ mul0 U V := begin
apply (mem_mul0 U V AB).mpr,use A, use B,
exact ⟨hA,hB,A_angle_B,rfl⟩
end,
have e_AB_C := calc
AB ⊔ C = (A ⊔ B) ⊔ C : rfl
... = A ⊔ (B ⊔ C) : by rw[← lattice.sup_assoc]
... = E : by rw[e_B_C,e_A_BC],
apply (mem_mul0 (mul0 U V) W E).mpr,
use AB,use C,
exact ⟨hAB,hC,AB_angle_C,e_AB_C⟩,
}
end
}
lemma ℚ.mul_le_mul (U₀ V₀ U₁ V₁ : ℚ n) (hU : U₀ ≤ U₁ ) (hV : V₀ ≤ V₁) :
U₀ * V₀ ≤ U₁ * V₁ :=
begin
change (mul0 U₁.val V₁.val) ⊆ (mul0 U₀.val V₀.val),
intros C C_in_W₁,
rcases (mem_mul0 _ _ C).mp C_in_W₁ with ⟨A,B,hA,hB,A_angle_B,e_A_B⟩,
exact (mem_mul0 U₀.val V₀.val C).mpr ⟨A,B,hU hA,hV hB,A_angle_B,e_A_B⟩,
end
variable (n)
def 𝕄 := { AB : (ℙ n) × (ℙ n) // AB.1 ∟ AB.2 }
namespace 𝕄
instance : partial_order (𝕄 n) := {
le := λ ⟨⟨A,B⟩,hAB⟩ ⟨⟨C,D⟩,hCD⟩, (A ≤ C) ∧ (B ≤ D),
le_refl := λ ⟨⟨A,B⟩,hAB⟩, by { split; apply @le_refl (ℙ n) _, },
le_antisymm := λ ⟨⟨A,B⟩,hAB⟩ ⟨⟨C,D⟩,hCD⟩ ⟨hAC,hBD⟩ ⟨hCA,hDB⟩,
begin congr,exact le_antisymm hAC hCA,exact le_antisymm hBD hDB end,
le_trans :=
λ ⟨⟨A,B⟩,hAB⟩ ⟨⟨C,D⟩,hCD⟩ ⟨⟨E,F⟩,hEF⟩ ⟨hAC,hBD⟩ ⟨hCE,hDF⟩,
⟨le_trans hAC hCE,le_trans hBD hDF⟩,
}
instance : fintype (𝕄 n) := by { unfold 𝕄, apply_instance }
instance : decidable_rel (λ (AB CD : 𝕄 n), AB ≤ CD) :=
λ ⟨⟨A,B⟩,hAB⟩ ⟨⟨C,D⟩,hCD⟩,
by { change decidable ((A ≤ C) ∧ (B ≤ D)), apply_instance, }
end 𝕄
def ζ : poset.hom (ℙ n) (𝕄 n) :=
⟨λ B, ⟨⟨⊥,B⟩,B.bot_angle⟩, λ B D hBD, ⟨le_refl ⊥,hBD⟩⟩
def ξ : poset.hom (ℙ n) (𝕄 n) :=
⟨λ A, ⟨⟨A,⊥⟩,A.angle_bot⟩, λ A C hAC, ⟨hAC,le_refl ⊥⟩⟩
def σ : poset.hom (𝕄 n) (ℙ n) :=
⟨λ ⟨⟨A,B⟩,hAB⟩, A ⊔ B,
λ ⟨⟨A,B⟩,hAB⟩ ⟨⟨C,D⟩,hCD⟩ ⟨hAC,hBD⟩, lattice.sup_le_sup hAC hBD⟩
def α' : ℕ → 𝕄 n → 𝕄 n :=
λ i ⟨⟨A,B⟩,hAB⟩,
⟨⟨A.filter_lt i,(A.filter_ge i) ⊔ B⟩,
begin
change (A.filter_lt i) ∟ ((A.filter_ge i) ⊔ B),
rw[ℙ.angle_sup],split,apply ℙ.lt_angle_ge,
exact ℙ.filter_lt_angle_of_angle i A B hAB,
end⟩
def β' : ℕ → 𝕄 n → 𝕄 n :=
λ i ⟨⟨A,B⟩,hAB⟩,
⟨⟨A.filter_le i,(A.filter_ge i) ⊔ B⟩,
begin
change (A.filter_le i) ∟ ((A.filter_ge i) ⊔ B),
rw[ℙ.angle_sup],split,apply ℙ.le_angle_ge,
exact ℙ.filter_le_angle_of_angle i A B hAB,
end⟩
def γ' : ℕ → 𝕄 n → 𝕄 n :=
λ i ⟨⟨A,B⟩,hAB⟩,
⟨⟨A ⊔ B.filter_lt i,B.filter_ge i⟩,
begin
change (A ⊔ (B.filter_lt i)) ∟ (B.filter_ge i),
rw[ℙ.sup_angle],split,
exact ℙ.angle_filter_ge_of_angle i A B hAB,
apply ℙ.lt_angle_ge,
end⟩
def δ' : ℕ → 𝕄 n → 𝕄 n :=
λ i ⟨⟨A,B⟩,hAB⟩,
⟨⟨A ⊔ B.filter_le i,B.filter_ge i⟩,
begin
change (A ⊔ (B.filter_le i)) ∟ (B.filter_ge i),
rw[ℙ.sup_angle],split,
exact ℙ.angle_filter_ge_of_angle i A B hAB,
apply ℙ.le_angle_ge,
end⟩
lemma α_mono (i : ℕ) : monotone (@α' n i) :=
λ ⟨⟨A,B⟩,hAB⟩ ⟨⟨C,D⟩,hCD⟩ ⟨hAC,hBD⟩, begin
split,
{intros a a_prop,
rcases finset.mem_filter.mp a_prop with ⟨a_in_A,a_lt_i⟩,
exact finset.mem_filter.mpr ⟨hAC a_in_A,a_lt_i⟩},
{intros a a_prop,
rcases finset.mem_union.mp a_prop with a_in_A_top | a_in_B,
{rcases finset.mem_filter.mp a_in_A_top with ⟨a_in_A,i_le_a⟩,
exact finset.mem_union_left D (finset.mem_filter.mpr ⟨hAC a_in_A,i_le_a⟩),
},{
exact finset.mem_union_right _ (hBD a_in_B),
}
}
end
lemma β_mono (i : ℕ) : monotone (@β' n i) :=
λ ⟨⟨A,B⟩,hAB⟩ ⟨⟨C,D⟩,hCD⟩ ⟨hAC,hBD⟩, begin
split,
{intros a a_prop,
rcases finset.mem_filter.mp a_prop with ⟨a_in_A,a_le_i⟩,
exact finset.mem_filter.mpr ⟨hAC a_in_A,a_le_i⟩},
{intros a a_prop,
rcases finset.mem_union.mp a_prop with a_in_A_top | a_in_B,
{rcases finset.mem_filter.mp a_in_A_top with ⟨a_in_A,i_le_a⟩,
exact finset.mem_union_left D (finset.mem_filter.mpr ⟨hAC a_in_A,i_le_a⟩),
},{
exact finset.mem_union_right _ (hBD a_in_B),
}
}
end
lemma γ_mono (i : ℕ) : monotone (@γ' n i) :=
λ ⟨⟨A,B⟩,hAB⟩ ⟨⟨C,D⟩,hCD⟩ ⟨hAC,hBD⟩, begin
split,
{intros a a_prop,
rcases finset.mem_union.mp a_prop with a_in_A | a_in_B_bot,
{exact finset.mem_union_left _ (hAC a_in_A)},
{rcases finset.mem_filter.mp a_in_B_bot with ⟨a_in_B,a_lt_i⟩,
exact finset.mem_union_right C (finset.mem_filter.mpr ⟨hBD a_in_B,a_lt_i⟩),
}
},
{intros a a_prop,
rcases finset.mem_filter.mp a_prop with ⟨a_in_B,i_le_a⟩,
exact finset.mem_filter.mpr ⟨hBD a_in_B,i_le_a⟩}
end
lemma δ_mono (i : ℕ) : monotone (@δ' n i) :=
λ ⟨⟨A,B⟩,hAB⟩ ⟨⟨C,D⟩,hCD⟩ ⟨hAC,hBD⟩, begin
split,
{intros a a_prop,
rcases finset.mem_union.mp a_prop with a_in_A | a_in_B_bot,
{exact finset.mem_union_left _ (hAC a_in_A)},
{rcases finset.mem_filter.mp a_in_B_bot with ⟨a_in_B,a_le_i⟩,
exact finset.mem_union_right C (finset.mem_filter.mpr ⟨hBD a_in_B,a_le_i⟩),
}
},
{intros a a_prop,
rcases finset.mem_filter.mp a_prop with ⟨a_in_B,i_le_a⟩,
exact finset.mem_filter.mpr ⟨hBD a_in_B,i_le_a⟩}
end
def α (i : ℕ) : poset.hom (𝕄 n) (𝕄 n) := ⟨α' n i,α_mono n i⟩
def β (i : ℕ) : poset.hom (𝕄 n) (𝕄 n) := ⟨β' n i,β_mono n i⟩
def γ (i : ℕ) : poset.hom (𝕄 n) (𝕄 n) := ⟨γ' n i,γ_mono n i⟩
def δ (i : ℕ) : poset.hom (𝕄 n) (𝕄 n) := ⟨δ' n i,δ_mono n i⟩
lemma σα (i : ℕ) : poset.comp (σ n) (α n i) = σ n :=
begin
apply subtype.eq,rw[poset.comp_val],funext AB,
rcases AB with ⟨⟨A,B⟩,hAB⟩,
change (A.filter_lt i) ⊔ ((A.filter_ge i) ⊔ B) = A ⊔ B,
rw[← lattice.sup_assoc,← @ℙ.filter_lt_ge n i A],
end
lemma σβ (i : ℕ) : poset.comp (σ n) (β n i) = σ n :=
begin
apply subtype.eq,rw[poset.comp_val],funext AB,
rcases AB with ⟨⟨A,B⟩,hAB⟩,
change (A.filter_le i) ⊔ ((A.filter_ge i) ⊔ B) = A ⊔ B,
rw[← lattice.sup_assoc,← @ℙ.filter_le_ge n i A],
end
lemma σγ (i : ℕ) : poset.comp (σ n) (γ n i) = σ n :=
begin
apply subtype.eq,rw[poset.comp_val],funext AB,
rcases AB with ⟨⟨A,B⟩,hAB⟩,
change (A ⊔ (B.filter_lt i)) ⊔ (B.filter_ge i) = A ⊔ B,
rw[lattice.sup_assoc,← @ℙ.filter_lt_ge n i B],
end
lemma σδ (i : ℕ) : poset.comp (σ n) (δ n i) = σ n :=
begin
apply subtype.eq,rw[poset.comp_val],funext AB,
rcases AB with ⟨⟨A,B⟩,hAB⟩,
change (A ⊔ (B.filter_le i)) ⊔ (B.filter_ge i) = A ⊔ B,
rw[lattice.sup_assoc,← @ℙ.filter_le_ge n i B],
end
lemma α_zero : (α n 0) = poset.comp (ζ n) (σ n) :=
begin
apply subtype.eq,
funext AB,rcases AB with ⟨⟨A,B⟩,hAB⟩,apply subtype.eq,
change prod.mk (A.filter_lt 0) ((A.filter_ge 0) ⊔ B) =
prod.mk ⊥ (A ⊔ B),
rw[ℙ.filter_lt_zero,ℙ.filter_ge_zero],
end
lemma γ_zero : (γ n 0) = poset.id _ :=
begin
apply subtype.eq,
funext AB,rcases AB with ⟨⟨A,B⟩,hAB⟩,apply subtype.eq,
change prod.mk (A ⊔ B.filter_lt 0) (B.filter_ge 0) =
prod.mk A B,
rw[ℙ.filter_lt_zero,ℙ.filter_ge_zero],congr,
exact @lattice.sup_bot_eq _ _ A,
end
lemma α_last : (α n n) = poset.id _ :=
begin
apply subtype.eq,
funext AB,rcases AB with ⟨⟨A,B⟩,hAB⟩,apply subtype.eq,
change prod.mk (A.filter_lt n) ((A.filter_ge n) ⊔ B) =
prod.mk A B,
rw[ℙ.filter_lt_last,ℙ.filter_ge_last],congr,
exact @lattice.bot_sup_eq _ _ B,
end
lemma γ_last : (γ n n) = poset.comp (ξ n) (σ n) :=
begin
apply subtype.eq,
funext AB,rcases AB with ⟨⟨A,B⟩,hAB⟩,apply subtype.eq,
change prod.mk (A ⊔ B.filter_lt n) (B.filter_ge n) =
prod.mk (A ⊔ B) ⊥,
rw[ℙ.filter_lt_last,ℙ.filter_ge_last],
end
lemma αβ_same (i : ℕ) : (α n i) ≤ (β n i) :=
begin
rintro ⟨⟨A,B⟩,hAB⟩,
change ((A.filter_lt i) ≤ (A.filter_le i)) ∧
((A.filter_ge i) ⊔ B ≤ (A.filter_ge i) ⊔ B),
split,
{rintros a h,rcases ℙ.mem_filter_lt.mp h with ⟨a_in_A,a_is_lt⟩,
exact ℙ.mem_filter_le.mpr ⟨a_in_A,le_of_lt a_is_lt⟩,
},{
exact le_refl _,
}
end
lemma αβ_step (i : ℕ) : (α n i.succ) ≤ (β n i) :=
begin
rintro ⟨⟨A,B⟩,hAB⟩,
change ((A.filter_lt i.succ) ≤ (A.filter_le i)) ∧
((A.filter_ge i.succ) ⊔ B ≤ (A.filter_ge i) ⊔ B),
split,
{rintros a h,rcases ℙ.mem_filter_lt.mp h with ⟨a_in_A,a_is_le⟩,
replace a_is_le : a.val ≤ i := nat.le_of_lt_succ a_is_le,
exact ℙ.mem_filter_le.mpr ⟨a_in_A,a_is_le⟩,
},{
have h : A.filter_ge i.succ ≤ A.filter_ge i :=
λ a h0,begin
rcases ℙ.mem_filter_ge.mp h0 with ⟨a_in_A,h1⟩,
have h2 : a.val ≥ i := le_trans (le_of_lt i.lt_succ_self) h1,
exact ℙ.mem_filter_ge.mpr ⟨a_in_A,h2⟩,
end,
exact lattice.sup_le_sup h (le_refl B),
}
end
lemma γδ_same (i : ℕ) : (γ n i) ≤ (δ n i) :=
begin
rintro ⟨⟨A,B⟩,hAB⟩,
change (A ⊔ (B.filter_lt i) ≤ A ⊔ (B.filter_le i)) ∧
(B.filter_ge i) ≤ (B.filter_ge i),
split,
{have h : B.filter_lt i ≤ B.filter_le i :=
λ b h0,begin
rcases ℙ.mem_filter_lt.mp h0 with ⟨b_in_B,b_is_lt⟩,
exact ℙ.mem_filter_le.mpr ⟨b_in_B,le_of_lt b_is_lt⟩,
end,
exact lattice.sup_le_sup (le_refl A) h,
},{
exact le_refl _,
}
end
lemma γδ_step (i : ℕ) : (γ n i.succ) ≤ (δ n i) :=
begin
rintro ⟨⟨A,B⟩,hAB⟩,
change (A ⊔ (B.filter_lt i.succ) ≤ A ⊔ (B.filter_le i)) ∧
(B.filter_ge i.succ) ≤ (B.filter_ge i),
split,
{have h : B.filter_lt i.succ = B.filter_le i :=
by {ext a, rw[ℙ.mem_filter_lt,ℙ.mem_filter_le,nat.lt_succ_iff]},
rw[h],exact le_refl _,
},{
rintros b h,rcases (ℙ.mem_filter_ge.mp h) with ⟨b_in_B,b_is_ge⟩ ,
replace b_is_ge : b.val ≥ i := le_of_lt b_is_ge,
exact ℙ.mem_filter_ge.mpr ⟨b_in_B,b_is_ge⟩,
}
end
lemma γδ_component : ∀ i,
(poset.component (γ n i) = poset.idₕ _) ∧
(poset.component (δ n i) = poset.idₕ _)
| 0 :=
begin
have h0 : poset.component (γ n 0) = poset.idₕ _ :=
by {rw[γ_zero],refl,},
let h1 := poset.π₀.sound (γδ_same n 0),
exact ⟨h0,h1.symm.trans h0⟩,
end
| (nat.succ i) :=
begin
rcases γδ_component i with ⟨h0,h1⟩,
let h2 := poset.π₀.sound (γδ_step n i),
let h3 := poset.π₀.sound (γδ_same n i.succ),
exact ⟨h2.trans h1,h3.symm.trans (h2.trans h1)⟩,
end
lemma γ_component (i : ℕ) : (poset.component (γ n i) = poset.idₕ _) :=
(γδ_component n i).left
lemma δ_component (i : ℕ) : (poset.component (δ n i) = poset.idₕ _) :=
(γδ_component n i).right
lemma ξσ_component : poset.component (poset.comp (ξ n) (σ n)) = poset.idₕ _ :=
(congr_arg poset.component (γ_last n)).symm.trans (γ_component n n)
lemma αβ_component : ∀ i,
(poset.component (α n i) = poset.component (α n 0)) ∧
(poset.component (β n i) = poset.component (α n 0))
| 0 :=
begin
let h1 := poset.π₀.sound (αβ_same n 0),
exact ⟨rfl,h1.symm⟩,
end
| (nat.succ i) :=
begin
rcases αβ_component i with ⟨h0,h1⟩,
let h2 := poset.π₀.sound (αβ_step n i),
let h3 := poset.π₀.sound (αβ_same n i.succ),
exact ⟨h2.trans h1,h3.symm.trans (h2.trans h1)⟩,
end
lemma α_component (i : ℕ) : (poset.component (α n i) = poset.idₕ _) :=
begin
let h0 := (αβ_component n i).left,
let h1 := (αβ_component n n).left,
let h2 := congr_arg poset.component (α_last n),
exact (h0.trans h1.symm).trans h2,
end
lemma β_component (i : ℕ) : (poset.component (β n i) = poset.idₕ _) :=
begin
let h0 := (αβ_component n i).right,
let h1 := (αβ_component n n).left,
let h2 := congr_arg poset.component (α_last n),
exact (h0.trans h1.symm).trans h2,
end
lemma ζσ_component : poset.component (poset.comp (ζ n) (σ n)) = poset.idₕ _ :=
(congr_arg poset.component (α_zero n)).symm.trans (α_component n 0)
def 𝕃 (n : ℕ) := poset.upper (𝕄 n)
namespace 𝕃
instance : _root_.lattice.bounded_distrib_lattice (𝕃 n) :=
@upper.bdl (𝕄 n) _ _ _ _
instance 𝕄_mem_𝕃 : has_mem (𝕄 n) (𝕃 n) :=
by { unfold 𝕃, apply_instance }
end 𝕃
def omul0 (U V : finset (ℙ n)) : finset (𝕄 n) :=
(U.bind (λ A, V.image (λ B, prod.mk A B))).subtype (λ AB, AB.1 ∟ AB.2)
lemma mem_omul0 (U V : finset (ℙ n)) (AB : 𝕄 n) :
AB ∈ omul0 n U V ↔ AB.val.1 ∈ U ∧ AB.val.2 ∈ V :=
begin
rw[omul0,finset.mem_subtype],
split,
{intro h0,
rcases (finset.mem_bind.mp h0) with ⟨A,⟨hAU,h1⟩⟩,
rcases (finset.mem_image.mp h1) with ⟨B,⟨hBV,h2⟩⟩,
rw[← h2],
exact ⟨hAU,hBV⟩,
},
{rcases AB with ⟨⟨A,B⟩,hAB⟩,
rintros ⟨hAU,hBV⟩,
apply finset.mem_bind.mpr,use A,use hAU,
apply finset.mem_image.mpr,use B,use hBV,
}
end
lemma is_upper_omul0 {U V : finset (ℙ n)}
(hU : is_upper U) (hV : is_upper V) : is_upper (omul0 n U V) :=
begin
rintros ⟨⟨A₀,B₀⟩,hAB₀⟩ ⟨⟨A₁,B₁⟩,hAB₁⟩ ⟨h_le_A,h_le_B⟩ AB₀_in_omul,
rcases (mem_omul0 n U V _).mp AB₀_in_omul with ⟨A₀_in_U,B₀_in_V⟩,
apply (mem_omul0 n U V _).mpr,
simp only [],
exact ⟨hU A₀ A₁ h_le_A A₀_in_U,hV B₀ B₁ h_le_B B₀_in_V⟩,
end
def omul : (ℚ n) → (ℚ n) → (𝕃 n) :=
λ U V, ⟨omul0 n U.val V.val,is_upper_omul0 n U.property V.property⟩
lemma omul_mono₂ :
∀ {U₀ U₁ V₀ V₁ : ℚ n} (hU : U₀ ≤ U₁) (hV : V₀ ≤ V₁),
omul n U₀ V₀ ≤ omul n U₁ V₁
| ⟨U₀,hU₀⟩ ⟨U₁,hU₁⟩ ⟨V₀,hV₀⟩ ⟨V₁,hV₁⟩ hU hV ⟨A,B⟩ h :=
begin
rcases (mem_omul0 n U₁ V₁ ⟨A,B⟩).mp h with ⟨hAU,hBV⟩,
apply (mem_omul0 n U₀ V₀ ⟨A,B⟩).mpr,
exact ⟨hU hAU,hV hBV⟩,
end
def σ0 : 𝕃 n → ℚ n := λ W, ⟨W.val.image (σ n),sorry⟩
def σ' : poset.hom (𝕃 n) (ℚ n) := ⟨σ0 n,sorry⟩
lemma factor_σ :
∀ U V : ℚ n, U * V = σ' n (omul n U V) := sorry
end itloc
|
1e15cbabbdfc62cdf8fbf088c1ac90acbe28033f | b7f22e51856f4989b970961f794f1c435f9b8f78 | /tests/lean/run/unfold_rec2.lean | 4f601b92db3ad9ad7022fcbeea034c5605a1b87c | [
"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 | 588 | lean | import data.examples.vector
open nat vector
variable {A : Type}
definition rev : Π {n : nat}, vector A n → vector A n
| ⌞0⌟ [] := []
| ⌞n+1⌟ (x :: xs) := concat (rev xs) x
theorem rev_concat : Π {n : nat} (xs : vector A n) (a : A), rev (concat xs a) = a :: rev xs
| 0 [] a := rfl
| (n+1) (x :: xs) a :=
begin
unfold [concat, rev], rewrite rev_concat
end
theorem rev_rev : Π {n : nat} (xs : vector A n), rev (rev xs) = xs
| 0 [] := rfl
| (n+1) (x :: xs) :=
begin
unfold rev at {1}, krewrite rev_concat, rewrite rev_rev
end
|
e5a72c78433a6f6a4727f231214ea5729287c37d | 4e3bf8e2b29061457a887ac8889e88fa5aa0e34c | /lean/love03_structured_proofs_and_proof_terms_homework_solution.lean | 5f96ec38745cc56bd47753b6875481807477479c | [] | no_license | mukeshtiwari/logical_verification_2019 | 9f964c067a71f65eb8884743273fbeef99e6503d | 16f62717f55ed5b7b87e03ae0134791a9bef9b9a | refs/heads/master | 1,619,158,844,208 | 1,585,139,500,000 | 1,585,139,500,000 | 249,906,380 | 0 | 0 | null | 1,585,118,728,000 | 1,585,118,727,000 | null | UTF-8 | Lean | false | false | 1,105 | lean | /- LoVe Homework 3: Structured Proofs and Proof Terms -/
import .love02_tactical_proofs_exercise_sheet
namespace LoVe
/- Question 2: Logic Puzzles -/
/- 2.2 (**optional**). Prove the same lemma again, this time by providing a
proof term.
Hint: There is an easy way. -/
lemma weak_peirce₂ :
∀a b : Prop, ((((a → b) → a) → a) → b) → b :=
λ(a b : Prop) (habaab : (((a → b) → a) → a) → b),
habaab (λ(habaa : (a → b) → a),
habaa (λ(ha : a), habaab (λ(haba : (a → b) → a), ha)))
/- The easy way is `#print weak_peirce`. There is an even easier way: to use
`weak_peirce` as the proof of `weak_peirce₂`. -/
/- 2.3 (**optional**). Prove the same lemma again, this time by providing a
structured proof. -/
lemma weak_peirce₃ :
∀a b : Prop, ((((a → b) → a) → a) → b) → b :=
assume (a b : Prop) (habaab : (((a → b) → a) → a) → b),
show b, from habaab
(assume (habaa : (a → b) → a),
show a, from habaa
(assume (ha : a),
show b, from habaab
(assume (haba : (a → b) → a),
show a, from ha)))
end LoVe
|
9000d1dddef281c4119363545e0085ae0dbd518a | a9d0fb7b0e4f802bd3857b803e6c5c23d87fef91 | /tests/lean/t12.lean | f79c62142100352df85fc98fbb83d9007f5d2498 | [
"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 | 255 | lean | prelude precedence `+` : 65
precedence `*` : 75
constant N : Type.{1}
check λ (f : N -> N -> N) (g : N → N → N) (infix + := f) (infix * := g) (x y : N), x+x*y
constant f : N → N → N
constant a : N
check a+a -- + notation is not available anymore
|
b512fbcfab0df9b7bffe0b193a8844960c3e6d3a | 682dc1c167e5900ba3168b89700ae1cf501cfa29 | /src/del/syntax/syntaxlemmasDEL.lean | 52ea3becf495625461ef61ec2d07186fa85004bc | [] | no_license | paulaneeley/modal | 834558c87f55cdd6d8a29bb46c12f4d1de3239bc | ee5d149d4ecb337005b850bddf4453e56a5daf04 | refs/heads/master | 1,675,911,819,093 | 1,609,785,144,000 | 1,609,785,144,000 | 270,388,715 | 13 | 1 | null | null | null | null | UTF-8 | Lean | false | false | 8,338 | lean | /-
Copyright (c) 2021 Paula Neeley. All rights reserved.
Author: Paula Neeley
Following the textbook "Dynamic Epistemic Logic" by
Hans van Ditmarsch, Wiebe van der Hoek, and Barteld Kooi
-/
import del.languageDEL del.syntax.syntaxDEL data.set.basic
local attribute [instance] classical.prop_decidable
variables {agents : Type}
open prfS5
---------------------- Helper Lemmas ----------------------
namespace S5lemma
lemma iden {Γ : ctx agents} {φ : form agents} :
prfS5 Γ (φ ⊃ φ) :=
begin
exact mp (mp (@pl2 _ _ φ (φ ⊃ φ) φ) pl1) pl1
end
lemma prtrue {Γ : ctx agents} : prfS5 Γ ¬⊥ := iden
lemma weak {Γ : ctx agents} {φ ψ : form agents} :
prfS5 Γ φ → prfS5 (Γ ∪ ψ) φ :=
begin
intro h,
induction h,
{apply ax, exact (set.mem_insert_of_mem _ h_h)},
{exact pl1},
{exact pl2},
{exact pl3},
{exact pl4},
{exact pl5},
{exact pl6},
{exact pl7},
{exact kdist},
{exact truth},
{exact posintro},
{exact negintro},
{apply mp,
{exact h_ih_hpq},
{exact h_ih_hp}},
{exact nec h_ih}
end
lemma pr {Γ : ctx agents} {φ : form agents} :
prfS5 (Γ ∪ φ) φ :=
begin
apply ax;
apply or.intro_left;
simp
end
lemma cut {Γ : ctx agents} {φ ψ χ : form agents} :
prfS5 Γ (φ ⊃ ψ) → prfS5 Γ (ψ ⊃ χ) → prfS5 Γ (φ ⊃ χ) :=
begin
intros h1 h2,
exact mp (mp pl2 (mp pl1 h2)) h1
end
lemma conv_deduction {Γ : ctx agents} {φ ψ : form agents} :
prfS5 Γ (φ ⊃ ψ) → prfS5 (Γ ∪ φ) ψ :=
begin
intro h,
exact mp (weak h) pr
end
lemma hs1 {Γ : ctx agents} {φ ψ χ : form agents} :
prfS5 Γ ((ψ ⊃ χ) ⊃ ((φ ⊃ ψ) ⊃ (φ ⊃ χ))) :=
begin
exact (mp (mp pl2 (mp pl1 pl2)) pl1)
end
lemma likemp {Γ : ctx agents} {φ ψ : form agents} :
prfS5 Γ (φ ⊃ ((φ ⊃ ψ) ⊃ ψ)) :=
begin
exact (mp (mp hs1 (mp pl2 iden)) pl1)
end
lemma dne {Γ : ctx agents} {φ : form agents} :
prfS5 Γ ((¬¬φ) ⊃ φ) :=
begin
have h1 : prfS5 Γ (φ ⊃ (φ ⊃ φ)), from pl1,
exact (cut (cut pl1 (cut pl7 pl7)) (mp likemp h1))
end
lemma dni {Γ : ctx agents} {φ : form agents} : prfS5 Γ (φ ⊃ ¬¬φ) :=
begin
exact mp pl7 dne
end
lemma imp_if_imp_imp {Γ : ctx agents} {φ ψ χ : form agents} : prfS5 Γ (φ ⊃ χ) → prfS5 Γ (φ ⊃ (ψ ⊃ χ)) :=
begin
intro h1,
exact mp (mp pl2 (mp pl1 pl1)) h1
end
lemma cut1 {Γ : ctx agents} {φ ψ χ θ : form agents} :
prfS5 Γ (θ ⊃ (φ ⊃ ψ)) → prfS5 Γ (ψ ⊃ χ) → prfS5 Γ (θ ⊃ (φ ⊃ χ)) :=
begin
intros h1 h2,
exact (cut h1) (mp pl2 (mp pl1 h2))
end
lemma imp_switch {Γ : ctx agents} {φ ψ χ : form agents} : prfS5 Γ (φ ⊃ (ψ ⊃ χ)) → prfS5 Γ (ψ ⊃ (φ ⊃ χ)) :=
begin
intro h1,
exact mp (mp pl2 (mp pl1 (mp pl2 h1))) pl1
end
lemma l2 {Γ : ctx agents} {φ ψ χ : form agents} : prfS5 Γ ((φ ⊃ (ψ ⊃ χ)) ⊃ (ψ ⊃ (φ ⊃ χ))) :=
begin
exact (mp (mp pl2 (cut pl2 hs1)) (mp pl1 pl1))
end
lemma hs2 {Γ : ctx agents} {φ ψ χ : form agents} :
prfS5 Γ ((φ ⊃ ψ) ⊃ ((ψ ⊃ χ) ⊃ (φ ⊃ χ))) :=
begin
exact (mp l2 hs1)
end
lemma cut2 {Γ : ctx agents} {φ ψ χ θ : form agents} :
prfS5 Γ (φ ⊃ ψ) → prfS5 Γ (θ ⊃ (ψ ⊃ χ)) → prfS5 Γ (θ ⊃ (φ ⊃ χ)) :=
begin
intros h1 h2,
exact imp_switch (cut h1 (imp_switch h2))
end
lemma double_imp {Γ : ctx agents} {φ ψ : form agents} :
prfS5 Γ ((φ ⊃ (φ ⊃ ψ)) ⊃ (φ ⊃ ψ)) :=
begin
exact mp pl2 (imp_switch iden)
end
lemma imp_imp_iff_imp {Γ : ctx agents} {θ φ ψ : form agents} :
prfS5 Γ (θ ⊃ (φ ⊃ (φ ⊃ ψ))) ↔ prfS5 Γ (θ ⊃ (φ ⊃ ψ)) :=
begin
split,
{intro h1,
exact cut h1 double_imp},
{intro h1,
exact cut h1 pl1}
end
lemma imp_shift {Γ : ctx agents} {θ φ ψ χ : form agents} :
prfS5 Γ (θ ⊃ (φ ⊃ (ψ ⊃ χ))) ↔ prfS5 Γ (θ ⊃ (ψ ⊃ (φ ⊃ χ))) :=
begin
split,
repeat {intro h1, exact cut h1 (cut2 pl1 pl2)}
end
lemma left_and_imp {Γ : ctx agents} {φ ψ χ : form agents} :
prfS5 Γ (ψ ⊃ ((φ & ψ) ⊃ χ)) → prfS5 Γ ((φ & ψ) ⊃ χ) :=
begin
intro h1,
exact mp double_imp (cut pl6 h1)
end
lemma and_right_imp {Γ : ctx agents} {φ ψ χ : form agents} :
prfS5 Γ ((φ & ψ) ⊃ χ) ↔ prfS5 Γ (ψ ⊃ (φ ⊃ χ)) :=
begin
split,
{intro h1,
exact mp (cut2 pl1 pl2) (cut1 pl4 h1)},
intro h1,
exact left_and_imp (cut2 pl5 h1)
end
lemma not_and_subst {φ ψ χ : form agents} {Γ : ctx agents} : prfS5 Γ (φ ↔ ψ) → (prfS5 Γ ¬(χ & φ) ↔ prfS5 Γ ¬(χ & ψ)) :=
begin
intro h1, split,
{intro h2,
exact mp (mp pl3 (mp pl1 h2)) (cut dne (mp double_imp (cut2 (cut pl6 (mp pl6 h1)) (cut pl5 pl4))))},
{intro h2,
exact mp (mp pl3 (mp pl1 h2)) (cut dne (mp double_imp (cut2 (cut pl6 (mp pl5 h1)) (cut pl5 pl4))))},
end
lemma not_contra {Γ : ctx agents} {φ : form agents} :
prfS5 Γ ¬(φ & ¬φ) :=
begin
exact mp (mp pl3 (cut dne pl6)) (cut dne pl5)
end
lemma phi_and_true {Γ : ctx agents} {φ : form agents} : prfS5 Γ ((φ&(¬⊥)) ↔ φ) :=
begin
exact (mp (mp pl4 pl5) (mp (imp_switch pl4) prtrue))
end
lemma imp_and_and_imp {Γ : ctx agents} {φ ψ χ θ : form agents} :
prfS5 Γ (((φ ⊃ ψ) & (χ ⊃ θ))) → prfS5 Γ (((φ & χ) ⊃ (ψ & θ))) :=
begin
intro h,
exact (mp double_imp (cut (cut pl5 (mp pl5 h)) (cut2 (cut pl6 (mp pl6 h)) pl4)))
end
lemma not_contra_equiv_true {Γ : ctx agents} {φ : form agents} :
prfS5 Γ (¬(φ & ¬φ) ↔ ¬⊥) :=
begin
exact (mp (mp pl4 (mp pl1 prtrue)) (mp pl1 not_contra))
end
lemma contrapos {Γ : ctx agents} {φ ψ : form agents} :
prfS5 Γ ((¬ψ) ⊃ (¬φ)) ↔ prfS5 Γ (φ ⊃ ψ) :=
begin
split,
intro h1,
exact mp pl7 h1,
intro h1,
exact mp (cut (cut (mp hs1 dni) (mp hs2 dne)) pl7) h1,
end
lemma iff_not {Γ : ctx agents} {φ ψ : form agents} :
prfS5 Γ (φ ↔ ψ) → prfS5 Γ (¬ψ ↔ ¬φ) :=
begin
intro h1,
have h2 : prfS5 Γ (φ ⊃ ψ), from mp pl5 h1,
have h3 : prfS5 Γ (ψ ⊃ φ), from mp pl6 h1,
rw ←contrapos at h2,
rw ←contrapos at h3,
exact (mp (mp pl4 h2) h3)
end
lemma contra_equiv_false {Γ : ctx agents} {φ : form agents} :
prfS5 Γ ((φ & ¬φ) ↔ ⊥) :=
begin
have h1 := iff_not not_contra_equiv_true,
exact (mp (mp pl4 (cut dni (cut (mp pl6 h1) dne))) (cut dni (cut (mp pl5 h1) dne)))
end
lemma and_switch {Γ : ctx agents} {φ ψ : form agents} : prfS5 Γ ((φ & ψ) ↔ (ψ & φ)) :=
begin
exact (mp (mp pl4 (mp double_imp (cut pl5 (imp_switch (cut pl6 pl4)))))
(mp double_imp (cut pl5 (imp_switch (cut pl6 pl4)))))
end
lemma imp_and_imp {Γ : ctx agents} {φ ψ χ : form agents} :
prfS5 Γ (φ ⊃ ψ) → prfS5 Γ ((χ & φ) ⊃ (χ & ψ)) :=
begin
intros h1,
exact imp_and_and_imp (mp (mp pl4 iden) h1)
end
lemma iff_iff_and_iff {Γ : ctx agents} {φ ψ χ θ : form agents} :
prfS5 Γ (φ ↔ χ) → prfS5 Γ (ψ ↔ θ) → prfS5 Γ ((φ & ψ) ↔ (χ & θ)) :=
begin
intros h1 h2,
exact mp (mp pl4 (imp_and_and_imp (mp (mp pl4 (mp pl5 h1)) (mp pl5 h2))))
(imp_and_and_imp (mp (mp pl4 (mp pl6 h1)) (mp pl6 h2)))
end
lemma and_commute {Γ : ctx agents} {φ ψ χ : form agents} : prfS5 Γ (((φ & ψ) & χ) ↔ (φ & (ψ & χ))) :=
begin
exact mp (mp pl4 (mp double_imp (imp_imp_iff_imp.mp
(cut (cut pl5 pl6) (cut2 pl6 (cut1 pl4 (imp_switch (cut (cut pl5 pl5) pl4))))))))
(mp double_imp (imp_imp_iff_imp.mp (cut (cut pl6 pl5)
(imp_switch (cut pl5 (cut1 pl4 (cut2 (cut pl6 pl6) pl4)))))))
end
lemma demorgans {Γ : ctx agents} {φ ψ : form agents} :
prfS5 Γ (¬(φ & ψ)) ↔ prfS5 Γ (φ ⊃ ¬ψ) :=
begin
split,
intro h1,
exact (and_right_imp.mp (mp (contrapos.mpr (mp pl5 and_switch)) h1)),
intro h1,
exact (mp (contrapos.mpr (mp pl5 and_switch)) (and_right_imp.mpr h1))
end
lemma explosion {Γ : ctx agents} {ψ : form agents} : prfS5 Γ (⊥ ⊃ ψ) :=
begin
apply contrapos.mp, exact (mp pl1 iden)
end
lemma exfalso {Γ : ctx agents} {φ ψ : form agents} : prfS5 Γ ((φ & ¬φ) ⊃ ψ) :=
begin
exact cut not_contra explosion
end
lemma box_dn {Γ : ctx agents} {φ : form agents} {a : agents} : prfS5 Γ ((¬K a φ) ↔ ¬(K a (¬¬φ))) :=
begin
exact mp (mp pl4 (contrapos.mpr (mp kdist (nec dne)))) (contrapos.mpr (mp kdist (nec dni)))
end
lemma dual_equiv1 {Γ : ctx agents} {φ : form agents} {a : agents} : prfS5 Γ ((K a φ) ↔ (¬(¬K a ¬(¬φ)))) :=
begin
exact mp (mp pl4 (cut (contrapos.mp (mp pl6 box_dn)) dni))
(cut dne (contrapos.mp (mp pl5 box_dn)))
end
end S5lemma
|
e6f8e41950b5d6c50031653b2fe89c501637f6e1 | a9d0fb7b0e4f802bd3857b803e6c5c23d87fef91 | /library/data/matrix.lean | a24219638e1b29797032228abbf6f56597ab6a5d | [
"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 | 3,296 | lean | /-
Copyright (c) 2015 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Author: Leonardo de Moura
Matrices
-/
import algebra.ring data.fin data.fintype
open fin nat
attribute [reducible]
definition matrix (A : Type) (m n : nat) := fin m → fin n → A
namespace matrix
variables {A B C : Type} {m n p : nat}
attribute [reducible]
definition val (M : matrix A m n) (i : fin m) (j : fin n) : A :=
M i j
namespace ops
notation M `[` i `, ` j `]` := val M i j
end ops
open ops
protected lemma ext {M N : matrix A m n} (h : ∀ i j, M[i,j] = N[i, j]) : M = N :=
funext (λ i, funext (λ j, h i j))
protected lemma has_decidable_eq [h : decidable_eq A] (m n : nat) : decidable_eq (matrix A m n) :=
_
definition to_matrix (f : fin m → fin n → A) : matrix A m n :=
f
definition map (f : A → B) (M : matrix A m n) : matrix B m n :=
λ i j, f (M[i,j])
definition map₂ (f : A → B → C) (M : matrix A m n) (N : matrix B m n) : matrix C m n :=
λ i j, f (M[i, j]) (N[i,j])
definition transpose (M : matrix A m n) : matrix A n m :=
λ i j, M[j, i]
definition symmetric (M : matrix A n n) :=
transpose M = M
section
variable [r : comm_ring A]
include r
definition identity (n : nat) : matrix A n n :=
λ i j, if i = j then 1 else 0
definition I {n : nat} : matrix A n n :=
identity n
protected definition zero (m n : nat) : matrix A m n :=
λ i j, 0
protected definition add (M : matrix A m n) (N : matrix A m n) : matrix A m n :=
λ i j, M[i, j] + N[i, j]
protected definition sub (M : matrix A m n) (N : matrix A m n) : matrix A m n :=
λ i j, M[i, j] - N[i, j]
protected definition mul (M : matrix A m n) (N : matrix A n p) : matrix A m p :=
λ i j, fin.foldl has_add.add 0 (λ k : fin n, M[i,k] * N[k,j])
definition smul (a : A) (M : matrix A m n) : matrix A m n :=
λ i j, a * M[i, j]
attribute [instance]
definition matrix_has_zero (m n : nat) : has_zero (matrix A m n) :=
has_zero.mk (matrix.zero m n)
attribute [instance]
definition matrix_has_one (n : nat) : has_one (matrix A n n) :=
has_one.mk (identity n)
attribute [instance]
definition matrix_has_add (m n : nat) : has_add (matrix A m n) :=
has_add.mk matrix.add
attribute [instance]
definition matrix_has_mul (n : nat) : has_mul (matrix A n n) :=
has_mul.mk matrix.mul
infix ` × ` := mul
infix `⬝` := smul
protected lemma add_zero (M : matrix A m n) : M + 0 = M :=
matrix.ext (λ i j, !add_zero)
protected lemma zero_add (M : matrix A m n) : 0 + M = M :=
matrix.ext (λ i j, !zero_add)
protected lemma add.comm (M : matrix A m n) (N : matrix A m n) : M + N = N + M :=
matrix.ext (λ i j, !add.comm)
protected lemma add.assoc (M : matrix A m n) (N : matrix A m n) (P : matrix A m n) : (M + N) + P = M + (N + P) :=
matrix.ext (λ i j, !add.assoc)
definition is_diagonal (M : matrix A n n) :=
∀ i j, i = j ∨ M[i, j] = 0
definition is_zero (M : matrix A m n) :=
∀ i j, M[i, j] = 0
definition is_upper_triangular (M : matrix A n n) :=
∀ i j : fin n, i > j → M[i, j] = 0
definition is_lower_triangular (M : matrix A n n) :=
∀ i j : fin n, i < j → M[i, j] = 0
definition inverse (M : matrix A n n) (N : matrix A n n) :=
M * N = I ∧ N * M = I
definition invertible (M : matrix A n n) :=
∃ N, inverse M N
end
end matrix
|
843767d19e6edd8ece4ba6e76d81923bf8980add | aa3f8992ef7806974bc1ffd468baa0c79f4d6643 | /tests/lean/run/basic.lean | 5f9b4cc2302a6ce4ac48c3b764c03b68d8866df7 | [
"Apache-2.0"
] | permissive | codyroux/lean | 7f8dff750722c5382bdd0a9a9275dc4bb2c58dd3 | 0cca265db19f7296531e339192e9b9bae4a31f8b | refs/heads/master | 1,610,909,964,159 | 1,407,084,399,000 | 1,416,857,075,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 1,647 | lean | constant A.{l1 l2} : Type.{l1} → Type.{l2}
check A
definition tst.{l} (A : Type) (B : Type) (C : Type.{l}) : Type := A → B → C
check tst
constant group.{l} : Type.{l+1}
constant carrier.{l} : group.{l} → Type.{l}
definition to_carrier (g : group) := carrier g
check to_carrier.{1}
section
variable A : Type
check A
definition B := A → A
end
constant N : Type.{1}
check B N
constant f : B N
check f
constant a : N
check f a
section
variable T1 : Type
variable T2 : Type
variable f : T1 → T2 → T2
definition double (a : T1) (b : T2) := f a (f a b)
end
check double
check double.{1 2}
definition Prop := Type.{0}
constant eq : Π {A : Type}, A → A → Prop
infix `=`:50 := eq
check eq.{1}
context
universe l
universe u
variable {T1 : Type.{l}}
variable {T2 : Type.{l}}
variable {T3 : Type.{u}}
variable f : T1 → T2 → T2
definition is_proj2 := ∀ x y, f x y = y
definition is_proj3 (f : T1 → T2 → T3 → T3) := ∀ x y z, f x y z = z
end
check @is_proj2.{1}
check @is_proj3.{1 2}
namespace foo
section
variables {T1 T2 : Type}
variable {T3 : Type}
variable f : T1 → T2 → T2
definition is_proj2 := ∀ x y, f x y = y
definition is_proj3 (f : T1 → T2 → T3 → T3) := ∀ x y z, f x y z = z
end
check @foo.is_proj2.{1}
check @foo.is_proj3.{1 2}
end foo
namespace bla
section
variable {T1 : Type}
variable {T2 : Type}
variable {T3 : Type}
variable f : T1 → T2 → T2
definition is_proj2 := ∀ x y, f x y = y
definition is_proj3 (f : T1 → T2 → T3 → T3) := ∀ x y z, f x y z = z
end
check @bla.is_proj2.{1 2}
check @bla.is_proj3.{1 2 3}
end bla
|
c3da4dd3357aa350e2448472baca82eba7c4ec3e | 947b78d97130d56365ae2ec264df196ce769371a | /tests/lean/run/meta5.lean | 0d338d5b67896d8fd90e514fbf2bedfe05b61359 | [
"Apache-2.0"
] | permissive | shyamalschandra/lean4 | 27044812be8698f0c79147615b1d5090b9f4b037 | 6e7a883b21eaf62831e8111b251dc9b18f40e604 | refs/heads/master | 1,671,417,126,371 | 1,601,859,995,000 | 1,601,860,020,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 656 | lean | import Lean.Meta
new_frontend
open Lean
open Lean.Meta
def tst1 : MetaM Unit :=
withLocalDeclD `y (mkConst `Nat) $ fun y => do
withLetDecl `x (mkConst `Nat) (mkNatLit 0) $ fun x => do {
let mvar ← mkFreshExprMVar (mkConst `Nat) MetavarKind.syntheticOpaque;
trace! `Meta mvar;
let r ← mkLambdaFVars #[y, x] mvar;
trace! `Meta r;
let v := mkApp2 (mkConst `Nat.add) x y;
assignExprMVar mvar.mvarId! v;
trace! `Meta mvar;
trace! `Meta r;
let mctx ← getMCtx;
mctx.decls.forM $ fun mvarId mvarDecl => do {
trace! `Meta ("?" ++ mvarId ++ " : " ++ mvarDecl.type);
pure ()
};
pure ()
}
set_option trace.Meta true
#eval tst1
|
89bfed3b2c5a2bd0691f36a2cb280593a93610f6 | 4efff1f47634ff19e2f786deadd394270a59ecd2 | /src/tactic/congr.lean | c81c486d366f02c3dc2be7179d72df23f5cab7b1 | [
"Apache-2.0"
] | permissive | agjftucker/mathlib | d634cd0d5256b6325e3c55bb7fb2403548371707 | 87fe50de17b00af533f72a102d0adefe4a2285e8 | refs/heads/master | 1,625,378,131,941 | 1,599,166,526,000 | 1,599,166,526,000 | 160,748,509 | 0 | 0 | Apache-2.0 | 1,544,141,789,000 | 1,544,141,789,000 | null | UTF-8 | Lean | false | false | 7,504 | lean | /-
Copyright (c) 2020 Floris van Doorn. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Floris van Doorn
-/
import tactic.lint
import tactic.ext
/-!
# Congruence and related tactics
This file contains the tactic `congr'`, which is an extension of `congr`, and various tactics
using `congr'` internally.
`congr'` has some advantages over `congr`:
* It turns `↔` to equalities, before trying another congr lemma
* You can write `congr' n` to give the maximal depth of recursive applications. This is useful if
`congr` breaks down the goal to aggressively, and the resulting goals are false.
* You can write `congr' with ...` to do `congr', ext ...` in a single tactic.
Other tactics in this file:
* `rcongr`: repeatedly apply `congr'` and `ext.`
* `convert`: like `exact`, but produces an equality goal if the type doesn't match.
* `convert_to`: changes the goal, if you prove an equality between the old goal and the new goal.
* `ac_change`: like `convert_to`, but uses `ac_refl` to discharge the goals.
-/
open tactic
setup_tactic_parser
namespace tactic
/-- Apply the constant `iff_of_eq` to the goal. -/
meta def apply_iff_congr_core : tactic unit :=
applyc ``iff_of_eq
/-- The main part of the body for the loop in `congr'`. This will try to replace a goal `f x = f y`
with `x = y`. Also has support for `==` and `↔`. -/
meta def congr_core' : tactic unit :=
do tgt ← target,
apply_eq_congr_core tgt
<|> apply_heq_congr_core
<|> apply_iff_congr_core
<|> fail "congr tactic failed"
/-- The main function in `convert_to`. Changes the goal to `r` and a proof obligation that the goal
is equal to `r`. -/
meta def convert_to_core (r : pexpr) : tactic unit :=
do tgt ← target,
h ← to_expr ``(_ : %%tgt = %%r),
rewrite_target h,
swap
/--
Same as the `congr` tactic, but takes an optional argument which gives
the depth of recursive applications.
* This is useful when `congr` is too aggressive in breaking down the goal.
* For example, given `⊢ f (g (x + y)) = f (g (y + x))`, `congr'` produces the goals `⊢ x = y`
and `⊢ y = x`, while `congr' 2` produces the intended `⊢ x + y = y + x`.
* If, at any point, a subgoal matches a hypothesis then the subgoal will be closed.
-/
meta def congr' : option ℕ → tactic unit
| (some 0) := failed
| o := focus1 (assumption <|> (congr_core' >>
all_goals' (reflexivity <|> `[apply proof_irrel_heq] <|>
`[apply proof_irrel] <|> try (congr' (nat.pred <$> o)))))
namespace interactive
/--
Same as the `congr` tactic, but takes an optional argument which gives
the depth of recursive applications.
* This is useful when `congr` is too aggressive in breaking down the goal.
* For example, given `⊢ f (g (x + y)) = f (g (y + x))`, `congr'` produces the goals `⊢ x = y`
and `⊢ y = x`, while `congr' 2` produces the intended `⊢ x + y = y + x`.
* If, at any point, a subgoal matches a hypothesis then the subgoal will be closed.
* You can use `congr' with p (: n)?` to call `ext p (: n)?` to all subgoals generated by `congr'`.
For example, if the goal is `⊢ f '' s = g '' s` then `congr' with x` generates the goal
`x : α ⊢ f x = g x`.
-/
meta def congr' (n : parse (with_desc "n" small_nat)?) :
parse (tk "with" *> prod.mk <$> (rcases_patt_parse tt)* <*> (tk ":" *> small_nat)?)? →
tactic unit
| none := tactic.congr' n
| (some ⟨p, m⟩) := focus1 (tactic.congr' n >> all_goals' (ext p m))
/--
Repeatedly and apply `congr'` and `ext`, using the the given patterns as arguments for `ext`.
There are two ways this tactic stops:
* `congr'` fails (makes no progress), after having already applied `ext`.
* `congr'` canceled out the last usage of `ext`. In this case, the state is reverted to before
the `congr'` was applied.
For example, when the goal is
```lean
⊢ (λ x, f x + 3) '' s = (λ x, g x + 3) '' s
```
then `rcongr x` produces the goal
```lean
x : α ⊢ f x = g x
```
This gives the same result as `congr', ext x, congr'`.
In contrast, `congr'` would produce
```lean
⊢ (λ x, f x + 3) = (λ x, g x + 3)
```
and `congr' with x` (or `congr', ext x`) would produce
```lean
x : α ⊢ f x + 3 = g x + 3
```
-/
meta def rcongr : parse (rcases_patt_parse tt)* → tactic unit
| ps := do
t ← target,
qs ← try_core (tactic.ext ps none),
some () ← try_core (tactic.congr' none >>
(done <|> do s ← target, guard $ ¬ s =ₐ t)) | skip,
done <|> rcongr (qs.lhoare ps)
add_tactic_doc
{ name := "congr'",
category := doc_category.tactic,
decl_names := [`tactic.interactive.congr', `tactic.interactive.congr, `tactic.interactive.rcongr],
tags := ["congruence"],
inherit_description_from := `tactic.interactive.congr' }
/--
The `exact e` and `refine e` tactics require a term `e` whose type is
definitionally equal to the goal. `convert e` is similar to `refine
e`, but the type of `e` is not required to exactly match the
goal. Instead, new goals are created for differences between the type
of `e` and the goal. For example, in the proof state
```lean
n : ℕ,
e : prime (2 * n + 1)
⊢ prime (n + n + 1)
```
the tactic `convert e` will change the goal to
```lean
⊢ n + n = 2 * n
```
In this example, the new goal can be solved using `ring`.
The syntax `convert ← e` will reverse the direction of the new goals
(producing `⊢ 2 * n = n + n` in this example).
Internally, `convert e` works by creating a new goal asserting that
the goal equals the type of `e`, then simplifying it using
`congr'`. The syntax `convert e using n` can be used to control the
depth of matching (like `congr' n`). In the example, `convert e using
1` would produce a new goal `⊢ n + n + 1 = 2 * n + 1`.
-/
meta def convert (sym : parse (with_desc "←" (tk "<-")?)) (r : parse texpr)
(n : parse (tk "using" *> small_nat)?) : tactic unit :=
do v ← mk_mvar,
if sym.is_some
then refine ``(eq.mp %%v %%r)
else refine ``(eq.mpr %%v %%r),
gs ← get_goals,
set_goals [v],
try (tactic.congr' n),
gs' ← get_goals,
set_goals $ gs' ++ gs
add_tactic_doc
{ name := "convert",
category := doc_category.tactic,
decl_names := [`tactic.interactive.convert],
tags := ["congruence"] }
/--
`convert_to g using n` attempts to change the current goal to `g`, but unlike `change`,
it will generate equality proof obligations using `congr' n` to resolve discrepancies.
`convert_to g` defaults to using `congr' 1`.
`ac_change` is `convert_to` followed by `ac_refl`. It is useful for rearranging/reassociating
e.g. sums:
```lean
example (a b c d e f g N : ℕ) : (a + b) + (c + d) + (e + f) + g ≤ N :=
begin
ac_change a + d + e + f + c + g + b ≤ _,
-- ⊢ a + d + e + f + c + g + b ≤ N
end
```
-/
meta def convert_to (r : parse texpr) (n : parse (tk "using" *> small_nat)?) : tactic unit :=
match n with
| none := convert_to_core r >> `[congr' 1]
| (some 0) := convert_to_core r
| (some o) := convert_to_core r >> tactic.congr' o
end
/-- `ac_change g using n` is `convert_to g using n; try {ac_refl}`. -/
meta def ac_change (r : parse texpr) (n : parse (tk "using" *> small_nat)?) : tactic unit :=
convert_to r n; try ac_refl
add_tactic_doc
{ name := "convert_to",
category := doc_category.tactic,
decl_names := [`tactic.interactive.convert_to, `tactic.interactive.ac_change],
tags := ["congruence"],
inherit_description_from := `tactic.interactive.convert_to }
end interactive
end tactic
|
8b3fc2ae7a2b26d4ff1145ba7503d9ca733cb13b | 8cae430f0a71442d02dbb1cbb14073b31048e4b0 | /src/field_theory/minpoly/field.lean | dc6c8381ecff9e48e53d58f528266ea58ffb1656 | [
"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 | 11,883 | lean | /-
Copyright (c) 2019 Johan Commelin. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Riccardo Brasca, Johan Commelin
-/
import data.polynomial.field_division
import field_theory.minpoly.basic
import ring_theory.algebraic
/-!
# Minimal polynomials on an algebra over a field
> THIS FILE IS SYNCHRONIZED WITH MATHLIB4.
> Any changes to this file require a corresponding PR to mathlib4.
This file specializes the theory of minpoly to the setting of field extensions
and derives some well-known properties, amongst which the fact that minimal polynomials
are irreducible, and uniquely determined by their defining property.
-/
open_locale classical polynomial
open polynomial set function minpoly
namespace minpoly
variables {A B : Type*}
variables (A) [field A]
section ring
variables [ring B] [algebra A B] (x : B)
/-- 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`. See also `gcd_domain_degree_le_of_ne_zero` which relaxes
the assumptions on `A` in exchange for stronger assumptions on `B`. -/
lemma degree_le_of_ne_zero
{p : A[X]} (pnz : p ≠ 0) (hp : polynomial.aeval x p = 0) :
degree (minpoly A x) ≤ degree p :=
calc degree (minpoly A x) ≤ degree (p * C (leading_coeff p)⁻¹) :
min A x (monic_mul_leading_coeff_inv pnz) (by simp [hp])
... = degree p : degree_mul_leading_coeff_inv p pnz
lemma ne_zero_of_finite_field_extension (e : B) [finite_dimensional A B] : minpoly A e ≠ 0 :=
minpoly.ne_zero $ is_integral_of_noetherian (is_noetherian.iff_fg.2 infer_instance) _
/-- 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`. See also `minpoly.gcd_unique` which relaxes the
assumptions on `A` in exchange for stronger assumptions on `B`. -/
lemma unique {p : A[X]}
(pmonic : p.monic) (hp : polynomial.aeval x p = 0)
(pmin : ∀ q : A[X], q.monic → polynomial.aeval x q = 0 → degree p ≤ degree q) :
p = minpoly A x :=
begin
have hx : is_integral A x := ⟨p, pmonic, hp⟩,
symmetry, apply eq_of_sub_eq_zero,
by_contra hnz,
have := degree_le_of_ne_zero A x 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 A x pmonic hp)
(pmin (minpoly A x) (monic hx) (aeval A x)) }
end
/-- If an element `x` is a root of a polynomial `p`, then the minimal polynomial of `x` divides `p`.
See also `minpoly.gcd_domain_dvd` which relaxes the assumptions on `A` in exchange for stronger
assumptions on `B`. -/
lemma dvd {p : A[X]} (hp : polynomial.aeval x p = 0) : minpoly A x ∣ p :=
begin
by_cases hp0 : p = 0,
{ simp only [hp0, dvd_zero] },
have hx : is_integral A x,
{ rw ← is_algebraic_iff_is_integral, exact ⟨p, hp0, hp⟩ },
rw ← dvd_iff_mod_by_monic_eq_zero (monic hx),
by_contra hnz,
have := degree_le_of_ne_zero A x hnz _,
{ contrapose! this,
exact degree_mod_by_monic_lt _ (monic hx) },
{ rw ← mod_by_monic_add_div p (monic hx) at hp,
simpa using hp }
end
lemma dvd_map_of_is_scalar_tower (A K : Type*) {R : Type*} [comm_ring A] [field K] [comm_ring R]
[algebra A K] [algebra A R] [algebra K R] [is_scalar_tower A K R] (x : R) :
minpoly K x ∣ (minpoly A x).map (algebra_map A K) :=
by { refine minpoly.dvd K x _, rw [aeval_map_algebra_map, minpoly.aeval] }
lemma dvd_map_of_is_scalar_tower' (R : Type*) {S : Type*} (K L : Type*) [comm_ring R]
[comm_ring S] [field K] [comm_ring L] [algebra R S] [algebra R K] [algebra S L] [algebra K L]
[algebra R L] [is_scalar_tower R K L] [is_scalar_tower R S L] (s : S):
minpoly K (algebra_map S L s) ∣ (map (algebra_map R K) (minpoly R s)) :=
begin
apply minpoly.dvd K (algebra_map S L s),
rw [← map_aeval_eq_aeval_map, minpoly.aeval, map_zero],
rw [← is_scalar_tower.algebra_map_eq, ← is_scalar_tower.algebra_map_eq]
end
/-- If `y` is a conjugate of `x` over a field `K`, then it is a conjugate over a subring `R`. -/
lemma aeval_of_is_scalar_tower (R : Type*) {K T U : Type*} [comm_ring R] [field K] [comm_ring T]
[algebra R K] [algebra K T] [algebra R T] [is_scalar_tower R K T]
[comm_semiring U] [algebra K U] [algebra R U] [is_scalar_tower R K U]
(x : T) (y : U)
(hy : polynomial.aeval y (minpoly K x) = 0) : polynomial.aeval y (minpoly R x) = 0 :=
aeval_map_algebra_map K y (minpoly R x) ▸ eval₂_eq_zero_of_dvd_of_eval₂_eq_zero (algebra_map K U)
y (minpoly.dvd_map_of_is_scalar_tower R K x) hy
variables {A x}
theorem eq_of_irreducible_of_monic
[nontrivial B] {p : A[X]} (hp1 : _root_.irreducible p)
(hp2 : polynomial.aeval x p = 0) (hp3 : p.monic) : p = minpoly A x :=
let ⟨q, hq⟩ := dvd A x hp2 in
eq_of_monic_of_associated hp3 (monic ⟨p, ⟨hp3, hp2⟩⟩) $
mul_one (minpoly A x) ▸ hq.symm ▸ associated.mul_left _ $
associated_one_iff_is_unit.2 $ (hp1.is_unit_or_is_unit hq).resolve_left $ not_is_unit A x
lemma eq_of_irreducible [nontrivial B] {p : A[X]}
(hp1 : _root_.irreducible p) (hp2 : polynomial.aeval x p = 0) :
p * C p.leading_coeff⁻¹ = minpoly A x :=
begin
have : p.leading_coeff ≠ 0 := leading_coeff_ne_zero.mpr hp1.ne_zero,
apply eq_of_irreducible_of_monic,
{ exact associated.irreducible ⟨⟨C p.leading_coeff⁻¹, C p.leading_coeff,
by rwa [←C_mul, inv_mul_cancel, C_1], by rwa [←C_mul, mul_inv_cancel, C_1]⟩, rfl⟩ hp1 },
{ rw [aeval_mul, hp2, zero_mul] },
{ rwa [polynomial.monic, leading_coeff_mul, leading_coeff_C, mul_inv_cancel] },
end
/-- If `y` is the image of `x` in an extension, their minimal polynomials coincide.
We take `h : y = algebra_map L T x` as an argument because `rw h` typically fails
since `is_integral R y` depends on y.
-/
lemma eq_of_algebra_map_eq {K S T : Type*} [field K] [comm_ring S] [comm_ring T]
[algebra K S] [algebra K T] [algebra S T]
[is_scalar_tower K S T] (hST : function.injective (algebra_map S T))
{x : S} {y : T} (hx : is_integral K x) (h : y = algebra_map S T x) :
minpoly K x = minpoly K y :=
minpoly.unique _ _ (minpoly.monic hx)
(by rw [h, aeval_algebra_map_apply, minpoly.aeval, ring_hom.map_zero])
(λ q q_monic root_q, minpoly.min _ _ q_monic
((aeval_algebra_map_eq_zero_iff_of_injective hST).mp
(h ▸ root_q : polynomial.aeval (algebra_map S T x) q = 0)))
lemma add_algebra_map {B : Type*} [comm_ring B] [algebra A B] {x : B}
(hx : is_integral A x) (a : A) :
minpoly A (x + (algebra_map A B a)) = (minpoly A x).comp (X - C a) :=
begin
refine (minpoly.unique _ _ ((minpoly.monic hx).comp_X_sub_C _) _ (λ q qmo hq, _)).symm,
{ simp [aeval_comp] },
{ have : (polynomial.aeval x) (q.comp (X + C a)) = 0 := by simpa [aeval_comp] using hq,
have H := minpoly.min A x (qmo.comp_X_add_C _) this,
rw [degree_eq_nat_degree qmo.ne_zero, degree_eq_nat_degree
((minpoly.monic hx).comp_X_sub_C _).ne_zero, with_bot.coe_le_coe, nat_degree_comp,
nat_degree_X_sub_C, mul_one],
rwa [degree_eq_nat_degree (minpoly.ne_zero hx), degree_eq_nat_degree
(qmo.comp_X_add_C _).ne_zero, with_bot.coe_le_coe, nat_degree_comp,
nat_degree_X_add_C, mul_one] at H }
end
lemma sub_algebra_map {B : Type*} [comm_ring B] [algebra A B] {x : B}
(hx : is_integral A x) (a : A) :
minpoly A (x - (algebra_map A B a)) = (minpoly A x).comp (X + C a) :=
by simpa [sub_eq_add_neg] using add_algebra_map hx (-a)
section alg_hom_fintype
/-- A technical finiteness result. -/
noncomputable def fintype.subtype_prod {E : Type*} {X : set E} (hX : X.finite) {L : Type*}
(F : E → multiset L) : fintype (Π x : X, {l : L // l ∈ F x}) :=
let hX := finite.fintype hX in by exactI pi.fintype
variables (F E K : Type*) [field F] [ring E] [comm_ring K] [is_domain K]
[algebra F E] [algebra F K] [finite_dimensional F E]
/-- Function from Hom_K(E,L) to pi type Π (x : basis), roots of min poly of x -/
-- Marked as `noncomputable!` since this definition takes multiple seconds to compile,
-- and isn't very computable in practice (since neither `finrank` nor `fin_basis` are).
noncomputable! def roots_of_min_poly_pi_type (φ : E →ₐ[F] K)
(x : range (finite_dimensional.fin_basis F E : _ → E)) :
{l : K // l ∈ (((minpoly F x.1).map (algebra_map F K)).roots : multiset K)} :=
⟨φ x, by rw [mem_roots_map (minpoly.ne_zero_of_finite_field_extension F x.val),
subtype.val_eq_coe, ←aeval_def, aeval_alg_hom_apply, minpoly.aeval, map_zero]⟩
lemma aux_inj_roots_of_min_poly : injective (roots_of_min_poly_pi_type F E K) :=
begin
intros f g h,
suffices : (f : E →ₗ[F] K) = g,
{ rwa fun_like.ext'_iff at this ⊢ },
rw funext_iff at h,
exact linear_map.ext_on (finite_dimensional.fin_basis F E).span_eq
(λ e he, subtype.ext_iff.mp (h ⟨e, he⟩)),
end
/-- Given field extensions `E/F` and `K/F`, with `E/F` finite, there are finitely many `F`-algebra
homomorphisms `E →ₐ[K] K`. -/
noncomputable instance alg_hom.fintype : fintype (E →ₐ[F] K) :=
@fintype.of_injective _ _ (fintype.subtype_prod (finite_range (finite_dimensional.fin_basis F E))
(λ e, ((minpoly F e).map (algebra_map F K)).roots)) _ (aux_inj_roots_of_min_poly F E K)
end alg_hom_fintype
variables (B) [nontrivial B]
/-- If `B/K` is a nontrivial algebra over a field, and `x` is an element of `K`,
then the minimal polynomial of `algebra_map K B x` is `X - C x`. -/
lemma eq_X_sub_C (a : A) : minpoly A (algebra_map A B a) = X - C a :=
eq_X_sub_C_of_algebra_map_inj a (algebra_map A B).injective
lemma eq_X_sub_C' (a : A) : minpoly A a = X - C a := eq_X_sub_C A a
variables (A)
/-- The minimal polynomial of `0` is `X`. -/
@[simp] lemma zero : minpoly A (0:B) = X :=
by simpa only [add_zero, C_0, sub_eq_add_neg, neg_zero, ring_hom.map_zero]
using eq_X_sub_C B (0:A)
/-- The minimal polynomial of `1` is `X - 1`. -/
@[simp] lemma one : minpoly A (1:B) = X - 1 :=
by simpa only [ring_hom.map_one, C_1, sub_eq_add_neg] using eq_X_sub_C B (1:A)
end ring
section is_domain
variables [ring B] [is_domain B] [algebra A B]
variables {A} {x : B}
/-- A minimal polynomial is prime. -/
lemma prime (hx : is_integral A x) : prime (minpoly A x) :=
begin
refine ⟨ne_zero hx, not_is_unit A x, _⟩,
rintros p q ⟨d, h⟩,
have : polynomial.aeval x (p*q) = 0 := by simp [h, aeval A x],
replace : polynomial.aeval x p = 0 ∨ polynomial.aeval x q = 0 := by simpa,
exact or.imp (dvd A x) (dvd A x) this
end
/-- 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 : B} (hx : is_integral A x) {y : A} (h : is_root (minpoly A x) y) :
algebra_map A B y = x :=
have key : minpoly A x = X - C y :=
eq_of_monic_of_associated (monic hx) (monic_X_sub_C y) (associated_of_dvd_dvd
((irreducible_X_sub_C y).dvd_symm (irreducible hx) (dvd_iff_is_root.2 h))
(dvd_iff_is_root.2 h)),
by { have := aeval A x, rwa [key, alg_hom.map_sub, aeval_X, aeval_C, sub_eq_zero, eq_comm] at this }
/-- The constant coefficient of the minimal polynomial of `x` is `0` if and only if `x = 0`. -/
@[simp] lemma coeff_zero_eq_zero (hx : is_integral A x) : coeff (minpoly A x) 0 = 0 ↔ x = 0 :=
begin
split,
{ intro h,
have zero_root := zero_is_root_of_coeff_zero_eq_zero h,
rw ← root hx zero_root,
exact ring_hom.map_zero _ },
{ rintro rfl, simp }
end
/-- The minimal polynomial of a nonzero element has nonzero constant coefficient. -/
lemma coeff_zero_ne_zero (hx : is_integral A x) (h : x ≠ 0) : coeff (minpoly A x) 0 ≠ 0 :=
by { contrapose! h, simpa only [hx, coeff_zero_eq_zero] using h }
end is_domain
end minpoly
|
dddb1c7af7868d152164022694bf8526ed1fb47b | 8cae430f0a71442d02dbb1cbb14073b31048e4b0 | /src/order/fixed_points.lean | 99ae88801f222503330c9380ba732f8a99eeaa00 | [
"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 | 9,538 | lean | /-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Kenny Lau, Yury Kudryashov
-/
import dynamics.fixed_points.basic
import order.hom.order
/-!
# Fixed point construction on complete lattices
> THIS FILE IS SYNCHRONIZED WITH MATHLIB4.
> Any changes to this file require a corresponding PR to mathlib4.
This file sets up the basic theory of fixed points of a monotone function in a complete lattice.
## Main definitions
* `order_hom.lfp`: The least fixed point of a bundled monotone function.
* `order_hom.gfp`: The greatest fixed point of a bundled monotone function.
* `order_hom.prev_fixed`: The greatest fixed point of a bundled monotone function smaller than or
equal to a given element.
* `order_hom.next_fixed`: The least fixed point of a bundled monotone function greater than or
equal to a given element.
* `fixed_points.complete_lattice`: The Knaster-Tarski theorem: fixed points of a monotone
self-map of a complete lattice form themselves a complete lattice.
## Tags
fixed point, complete lattice, monotone function
-/
universes u v w
variables {α : Type u} {β : Type v} {γ : Type w}
open function (fixed_points is_fixed_pt)
namespace order_hom
section basic
variables [complete_lattice α] (f : α →o α)
/-- Least fixed point of a monotone function -/
def lfp : (α →o α) →o α :=
{ to_fun := λ f, Inf {a | f a ≤ a},
monotone' := λ f g hle, Inf_le_Inf $ λ a ha, (hle a).trans ha }
/-- Greatest fixed point of a monotone function -/
def gfp : (α →o α) →o α :=
{ to_fun := λ f, Sup {a | a ≤ f a},
monotone' := λ f g hle, Sup_le_Sup $ λ a ha, le_trans ha (hle a) }
lemma lfp_le {a : α} (h : f a ≤ a) : lfp f ≤ a := Inf_le h
lemma lfp_le_fixed {a : α} (h : f a = a) : lfp f ≤ a := f.lfp_le h.le
lemma le_lfp {a : α} (h : ∀ b, f b ≤ b → a ≤ b) : a ≤ lfp f := le_Inf h
lemma map_le_lfp {a : α} (ha : a ≤ f.lfp) : f a ≤ f.lfp :=
f.le_lfp $ λ b hb, (f.mono $ le_Inf_iff.1 ha _ hb).trans hb
@[simp] lemma map_lfp : f (lfp f) = lfp f :=
have h : f (lfp f) ≤ lfp f, from f.map_le_lfp le_rfl,
h.antisymm $ f.lfp_le $ f.mono h
lemma is_fixed_pt_lfp : is_fixed_pt f f.lfp := f.map_lfp
lemma lfp_le_map {a : α} (ha : lfp f ≤ a) : lfp f ≤ f a :=
calc lfp f = f (lfp f) : f.map_lfp.symm
... ≤ f a : f.mono ha
lemma is_least_lfp_le : is_least {a | f a ≤ a} (lfp f) :=
⟨f.map_lfp.le, λ a, f.lfp_le⟩
lemma is_least_lfp : is_least (fixed_points f) (lfp f) :=
⟨f.is_fixed_pt_lfp, λ a, f.lfp_le_fixed⟩
lemma lfp_induction {p : α → Prop} (step : ∀ a, p a → a ≤ lfp f → p (f a))
(hSup : ∀ s, (∀ a ∈ s, p a) → p (Sup s)) :
p (lfp f) :=
begin
set s := {a | a ≤ lfp f ∧ p a},
specialize hSup s (λ a, and.right),
suffices : Sup s = lfp f, from this ▸ hSup,
have h : Sup s ≤ lfp f := Sup_le (λ b, and.left),
have hmem : f (Sup s) ∈ s, from ⟨f.map_le_lfp h, step _ hSup h⟩,
exact h.antisymm (f.lfp_le $ le_Sup hmem)
end
lemma le_gfp {a : α} (h : a ≤ f a) : a ≤ gfp f :=
le_Sup h
lemma gfp_le {a : α} (h : ∀ b, b ≤ f b → b ≤ a) : gfp f ≤ a :=
Sup_le h
lemma is_fixed_pt_gfp : is_fixed_pt f (gfp f) := f.dual.is_fixed_pt_lfp
@[simp] lemma map_gfp : f (gfp f) = gfp f := f.dual.map_lfp
lemma map_le_gfp {a : α} (ha : a ≤ gfp f) : f a ≤ gfp f := f.dual.lfp_le_map ha
lemma gfp_le_map {a : α} (ha : gfp f ≤ a) : gfp f ≤ f a := f.dual.map_le_lfp ha
lemma is_greatest_gfp_le : is_greatest {a | a ≤ f a} (gfp f) :=
f.dual.is_least_lfp_le
lemma is_greatest_gfp : is_greatest (fixed_points f) (gfp f) :=
f.dual.is_least_lfp
lemma gfp_induction {p : α → Prop} (step : ∀ a, p a → gfp f ≤ a → p (f a))
(hInf : ∀ s, (∀ a ∈ s, p a) → p (Inf s)) :
p (gfp f) :=
f.dual.lfp_induction step hInf
end basic
section eqn
variables [complete_lattice α] [complete_lattice β] (f : β →o α) (g : α →o β)
-- Rolling rule
lemma map_lfp_comp : f (lfp (g.comp f)) = lfp (f.comp g) :=
le_antisymm ((f.comp g).map_lfp ▸ f.mono (lfp_le_fixed _ $ congr_arg g (f.comp g).map_lfp)) $
lfp_le _ (congr_arg f (g.comp f).map_lfp).le
lemma map_gfp_comp : f ((g.comp f).gfp) = (f.comp g).gfp :=
f.dual.map_lfp_comp g.dual
-- Diagonal rule
lemma lfp_lfp (h : α →o α →o α) :
lfp (lfp.comp h) = lfp h.on_diag :=
begin
let a := lfp (lfp.comp h),
refine (lfp_le _ _).antisymm (lfp_le _ (eq.le _)),
{ exact lfp_le _ h.on_diag.map_lfp.le },
have ha : (lfp ∘ h) a = a := (lfp.comp h).map_lfp,
calc h a a = h a (lfp (h a)) : congr_arg (h a) ha.symm
... = lfp (h a) : (h a).map_lfp
... = a : ha
end
lemma gfp_gfp (h : α →o α →o α) : gfp (gfp.comp h) = gfp h.on_diag :=
@lfp_lfp αᵒᵈ _ $ (order_hom.dual_iso αᵒᵈ αᵒᵈ).symm.to_order_embedding.to_order_hom.comp h.dual
end eqn
section prev_next
variables [complete_lattice α] (f : α →o α)
lemma gfp_const_inf_le (x : α) : gfp (const α x ⊓ f) ≤ x :=
gfp_le _ $ λ b hb, hb.trans inf_le_left
/-- Previous fixed point of a monotone map. If `f` is a monotone self-map of a complete lattice and
`x` is a point such that `f x ≤ x`, then `f.prev_fixed x hx` is the greatest fixed point of `f`
that is less than or equal to `x`. -/
def prev_fixed (x : α) (hx : f x ≤ x) : fixed_points f :=
⟨gfp (const α x ⊓ f),
calc f (gfp (const α x ⊓ f)) = x ⊓ f (gfp (const α x ⊓ f)) :
eq.symm $ inf_of_le_right $ (f.mono $ f.gfp_const_inf_le x).trans hx
... = gfp (const α x ⊓ f) : (const α x ⊓ f).map_gfp ⟩
/-- Next fixed point of a monotone map. If `f` is a monotone self-map of a complete lattice and
`x` is a point such that `x ≤ f x`, then `f.next_fixed x hx` is the least fixed point of `f`
that is greater than or equal to `x`. -/
def next_fixed (x : α) (hx : x ≤ f x) : fixed_points f :=
{ val := (const α x ⊔ f).lfp,
.. f.dual.prev_fixed x hx }
lemma prev_fixed_le {x : α} (hx : f x ≤ x) : ↑(f.prev_fixed x hx) ≤ x :=
f.gfp_const_inf_le x
lemma le_next_fixed {x : α} (hx : x ≤ f x) : x ≤ f.next_fixed x hx :=
f.dual.prev_fixed_le hx
lemma next_fixed_le {x : α} (hx : x ≤ f x) {y : fixed_points f} (h : x ≤ y) :
f.next_fixed x hx ≤ y :=
subtype.coe_le_coe.1 $ lfp_le _ $ sup_le h y.2.le
@[simp] lemma next_fixed_le_iff {x : α} (hx : x ≤ f x) {y : fixed_points f} :
f.next_fixed x hx ≤ y ↔ x ≤ y :=
⟨λ h, (f.le_next_fixed hx).trans h, f.next_fixed_le hx⟩
@[simp] lemma le_prev_fixed_iff {x : α} (hx : f x ≤ x) {y : fixed_points f} :
y ≤ f.prev_fixed x hx ↔ ↑y ≤ x :=
f.dual.next_fixed_le_iff hx
lemma le_prev_fixed {x : α} (hx : f x ≤ x) {y : fixed_points f} (h : ↑y ≤ x) :
y ≤ f.prev_fixed x hx :=
(f.le_prev_fixed_iff hx).2 h
lemma le_map_sup_fixed_points (x y : fixed_points f) : (x ⊔ y : α) ≤ f (x ⊔ y) :=
calc (x ⊔ y : α) = f x ⊔ f y : congr_arg2 (⊔) x.2.symm y.2.symm
... ≤ f (x ⊔ y) : f.mono.le_map_sup x y
lemma map_inf_fixed_points_le (x y : fixed_points f) : f (x ⊓ y) ≤ x ⊓ y :=
f.dual.le_map_sup_fixed_points x y
lemma le_map_Sup_subset_fixed_points (A : set α) (hA : A ⊆ fixed_points f) : Sup A ≤ f (Sup A) :=
Sup_le $ λ x hx, hA hx ▸ (f.mono $ le_Sup hx)
lemma map_Inf_subset_fixed_points_le (A : set α) (hA : A ⊆ fixed_points f) : f (Inf A) ≤ Inf A :=
le_Inf $ λ x hx, (hA hx) ▸ (f.mono $ Inf_le hx)
end prev_next
end order_hom
namespace fixed_points
open order_hom
variables [complete_lattice α] (f : α →o α)
instance : semilattice_sup (fixed_points f) :=
{ sup := λ x y, f.next_fixed (x ⊔ y) (f.le_map_sup_fixed_points x y),
le_sup_left := λ x y, subtype.coe_le_coe.1 $ le_sup_left.trans (f.le_next_fixed _),
le_sup_right := λ x y, subtype.coe_le_coe.1 $ le_sup_right.trans (f.le_next_fixed _),
sup_le := λ x y z hxz hyz, f.next_fixed_le _ $ sup_le hxz hyz,
.. subtype.partial_order _ }
instance : semilattice_inf (fixed_points f) :=
{ inf := λ x y, f.prev_fixed (x ⊓ y) (f.map_inf_fixed_points_le x y),
.. subtype.partial_order _, .. (order_dual.semilattice_inf (fixed_points f.dual)) }
instance : complete_semilattice_Sup (fixed_points f) :=
{ Sup := λ s, f.next_fixed (Sup (coe '' s))
(f.le_map_Sup_subset_fixed_points (coe '' s) (λ z ⟨x, hx⟩, hx.2 ▸ x.2)),
le_Sup := λ s x hx, subtype.coe_le_coe.1 $ le_trans (le_Sup $ set.mem_image_of_mem _ hx)
(f.le_next_fixed _),
Sup_le := λ s x hx, f.next_fixed_le _ $ Sup_le $ set.ball_image_iff.2 hx,
.. subtype.partial_order _ }
instance : complete_semilattice_Inf (fixed_points f) :=
{ Inf := λ s, f.prev_fixed (Inf (coe '' s))
(f.map_Inf_subset_fixed_points_le (coe '' s) (λ z ⟨x, hx⟩, hx.2 ▸ x.2)),
le_Inf := λ s x hx, f.le_prev_fixed _ $ le_Inf $ set.ball_image_iff.2 hx,
Inf_le := λ s x hx, subtype.coe_le_coe.1 $ le_trans (f.prev_fixed_le _)
(Inf_le $ set.mem_image_of_mem _ hx),
.. subtype.partial_order _ }
/-- **Knaster-Tarski Theorem**: The fixed points of `f` form a complete lattice. -/
instance : complete_lattice (fixed_points f) :=
{ top := ⟨f.gfp, f.is_fixed_pt_gfp⟩,
bot := ⟨f.lfp, f.is_fixed_pt_lfp⟩,
le_top := λ x, f.le_gfp x.2.ge,
bot_le := λ x, f.lfp_le x.2.le,
.. subtype.partial_order _,
.. fixed_points.semilattice_sup f,
.. fixed_points.semilattice_inf f,
.. fixed_points.complete_semilattice_Sup f,
.. fixed_points.complete_semilattice_Inf f }
end fixed_points
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